diff --git a/.gitattributes b/.gitattributes
index a6344aac8c09253b3b630fb776ae94478aa0275b..85851e043cbb1922c69d48e5b31290179a39547c 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -33,3 +33,70 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/driving/d0.mp4 filter=lfs diff=lfs merge=lfs -text
+ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/driving/d3.mp4 filter=lfs diff=lfs merge=lfs -text
+ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/driving/d6.mp4 filter=lfs diff=lfs merge=lfs -text
+ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/driving/d9.mp4 filter=lfs diff=lfs merge=lfs -text
+ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/mp_models/face_landmarker_v2_with_blendshapes.task filter=lfs diff=lfs merge=lfs -text
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diff --git a/ComfyUI/.ci/update_windows/update.py b/ComfyUI/.ci/update_windows/update.py
new file mode 100644
index 0000000000000000000000000000000000000000..6a04e5e1689b9629d5bef1e8f9e771de7111f03e
--- /dev/null
+++ b/ComfyUI/.ci/update_windows/update.py
@@ -0,0 +1,146 @@
+import pygit2
+from datetime import datetime
+import sys
+import os
+import shutil
+import filecmp
+
+def pull(repo, remote_name='origin', branch='master'):
+    for remote in repo.remotes:
+        if remote.name == remote_name:
+            remote.fetch()
+            remote_master_id = repo.lookup_reference('refs/remotes/origin/%s' % (branch)).target
+            merge_result, _ = repo.merge_analysis(remote_master_id)
+            # Up to date, do nothing
+            if merge_result & pygit2.GIT_MERGE_ANALYSIS_UP_TO_DATE:
+                return
+            # We can just fastforward
+            elif merge_result & pygit2.GIT_MERGE_ANALYSIS_FASTFORWARD:
+                repo.checkout_tree(repo.get(remote_master_id))
+                try:
+                    master_ref = repo.lookup_reference('refs/heads/%s' % (branch))
+                    master_ref.set_target(remote_master_id)
+                except KeyError:
+                    repo.create_branch(branch, repo.get(remote_master_id))
+                repo.head.set_target(remote_master_id)
+            elif merge_result & pygit2.GIT_MERGE_ANALYSIS_NORMAL:
+                repo.merge(remote_master_id)
+
+                if repo.index.conflicts is not None:
+                    for conflict in repo.index.conflicts:
+                        print('Conflicts found in:', conflict[0].path)
+                    raise AssertionError('Conflicts, ahhhhh!!')
+
+                user = repo.default_signature
+                tree = repo.index.write_tree()
+                commit = repo.create_commit('HEAD',
+                                            user,
+                                            user,
+                                            'Merge!',
+                                            tree,
+                                            [repo.head.target, remote_master_id])
+                # We need to do this or git CLI will think we are still merging.
+                repo.state_cleanup()
+            else:
+                raise AssertionError('Unknown merge analysis result')
+
+pygit2.option(pygit2.GIT_OPT_SET_OWNER_VALIDATION, 0)
+repo_path = str(sys.argv[1])
+repo = pygit2.Repository(repo_path)
+ident = pygit2.Signature('comfyui', 'comfy@ui')
+try:
+    print("stashing current changes")
+    repo.stash(ident)
+except KeyError:
+    print("nothing to stash")
+backup_branch_name = 'backup_branch_{}'.format(datetime.today().strftime('%Y-%m-%d_%H_%M_%S'))
+print("creating backup branch: {}".format(backup_branch_name))
+try:
+    repo.branches.local.create(backup_branch_name, repo.head.peel())
+except:
+    pass
+
+print("checking out master branch")
+branch = repo.lookup_branch('master')
+if branch is None:
+    ref = repo.lookup_reference('refs/remotes/origin/master')
+    repo.checkout(ref)
+    branch = repo.lookup_branch('master')
+    if branch is None:
+        repo.create_branch('master', repo.get(ref.target))
+else:
+    ref = repo.lookup_reference(branch.name)
+    repo.checkout(ref)
+
+print("pulling latest changes")
+pull(repo)
+
+if "--stable" in sys.argv:
+    def latest_tag(repo):
+        versions = []
+        for k in repo.references:
+            try:
+                prefix = "refs/tags/v"
+                if k.startswith(prefix):
+                    version = list(map(int, k[len(prefix):].split(".")))
+                    versions.append((version[0] * 10000000000 + version[1] * 100000 + version[2], k))
+            except:
+                pass
+        versions.sort()
+        if len(versions) > 0:
+            return versions[-1][1]
+        return None
+    latest_tag = latest_tag(repo)
+    if latest_tag is not None:
+        repo.checkout(latest_tag)
+
+print("Done!")
+
+self_update = True
+if len(sys.argv) > 2:
+    self_update = '--skip_self_update' not in sys.argv
+
+update_py_path = os.path.realpath(__file__)
+repo_update_py_path = os.path.join(repo_path, ".ci/update_windows/update.py")
+
+cur_path = os.path.dirname(update_py_path)
+
+
+req_path = os.path.join(cur_path, "current_requirements.txt")
+repo_req_path = os.path.join(repo_path, "requirements.txt")
+
+
+def files_equal(file1, file2):
+    try:
+        return filecmp.cmp(file1, file2, shallow=False)
+    except:
+        return False
+
+def file_size(f):
+    try:
+        return os.path.getsize(f)
+    except:
+        return 0
+
+
+if self_update and not files_equal(update_py_path, repo_update_py_path) and file_size(repo_update_py_path) > 10:
+    shutil.copy(repo_update_py_path, os.path.join(cur_path, "update_new.py"))
+    exit()
+
+if not os.path.exists(req_path) or not files_equal(repo_req_path, req_path):
+    import subprocess
+    try:
+        subprocess.check_call([sys.executable, '-s', '-m', 'pip', 'install', '-r', repo_req_path])
+        shutil.copy(repo_req_path, req_path)
+    except:
+        pass
+
+
+stable_update_script = os.path.join(repo_path, ".ci/update_windows/update_comfyui_stable.bat")
+stable_update_script_to = os.path.join(cur_path, "update_comfyui_stable.bat")
+
+try:
+    if not file_size(stable_update_script_to) > 10:
+        shutil.copy(stable_update_script, stable_update_script_to)
+except:
+    pass
diff --git a/ComfyUI/.ci/update_windows/update_comfyui.bat b/ComfyUI/.ci/update_windows/update_comfyui.bat
new file mode 100644
index 0000000000000000000000000000000000000000..bb08c0de0c7bfcf7cdecfda45edc72805bc3adea
--- /dev/null
+++ b/ComfyUI/.ci/update_windows/update_comfyui.bat
@@ -0,0 +1,8 @@
+@echo off
+..\python_embeded\python.exe .\update.py ..\ComfyUI\
+if exist update_new.py (
+  move /y update_new.py update.py
+  echo Running updater again since it got updated.
+  ..\python_embeded\python.exe .\update.py ..\ComfyUI\ --skip_self_update
+)
+if "%~1"=="" pause
diff --git a/ComfyUI/.ci/update_windows/update_comfyui_stable.bat b/ComfyUI/.ci/update_windows/update_comfyui_stable.bat
new file mode 100644
index 0000000000000000000000000000000000000000..e18010da39d37b063f44ec811340c43d4739e874
--- /dev/null
+++ b/ComfyUI/.ci/update_windows/update_comfyui_stable.bat
@@ -0,0 +1,8 @@
+@echo off
+..\python_embeded\python.exe .\update.py ..\ComfyUI\ --stable
+if exist update_new.py (
+  move /y update_new.py update.py
+  echo Running updater again since it got updated.
+  ..\python_embeded\python.exe .\update.py ..\ComfyUI\ --skip_self_update --stable
+)
+if "%~1"=="" pause
diff --git a/ComfyUI/.ci/windows_base_files/README_VERY_IMPORTANT.txt b/ComfyUI/.ci/windows_base_files/README_VERY_IMPORTANT.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d46acbcbf1d77440dbf4bfaa7bb5cbe6090d6fde
--- /dev/null
+++ b/ComfyUI/.ci/windows_base_files/README_VERY_IMPORTANT.txt
@@ -0,0 +1,31 @@
+HOW TO RUN:
+
+if you have a NVIDIA gpu:
+
+run_nvidia_gpu.bat
+
+
+
+To run it in slow CPU mode:
+
+run_cpu.bat
+
+
+
+IF YOU GET A RED ERROR IN THE UI MAKE SURE YOU HAVE A MODEL/CHECKPOINT IN: ComfyUI\models\checkpoints
+
+You can download the stable diffusion 1.5 one from: https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors
+
+
+RECOMMENDED WAY TO UPDATE:
+To update the ComfyUI code: update\update_comfyui.bat
+
+
+
+To update ComfyUI with the python dependencies, note that you should ONLY run this if you have issues with python dependencies.
+update\update_comfyui_and_python_dependencies.bat
+
+
+TO SHARE MODELS BETWEEN COMFYUI AND ANOTHER UI:
+In the ComfyUI directory you will find a file: extra_model_paths.yaml.example
+Rename this file to: extra_model_paths.yaml and edit it with your favorite text editor.
diff --git a/ComfyUI/.ci/windows_base_files/run_cpu.bat b/ComfyUI/.ci/windows_base_files/run_cpu.bat
new file mode 100644
index 0000000000000000000000000000000000000000..c3ba4172161a996b0187dd981286c521bcc65846
--- /dev/null
+++ b/ComfyUI/.ci/windows_base_files/run_cpu.bat
@@ -0,0 +1,2 @@
+.\python_embeded\python.exe -s ComfyUI\main.py --cpu --windows-standalone-build
+pause
diff --git a/ComfyUI/.ci/windows_base_files/run_nvidia_gpu.bat b/ComfyUI/.ci/windows_base_files/run_nvidia_gpu.bat
new file mode 100644
index 0000000000000000000000000000000000000000..274d7c9486e0ee182ef8fbe16d34ca95e05e90ec
--- /dev/null
+++ b/ComfyUI/.ci/windows_base_files/run_nvidia_gpu.bat
@@ -0,0 +1,2 @@
+.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build
+pause
diff --git a/ComfyUI/.ci/windows_nightly_base_files/run_nvidia_gpu_fast.bat b/ComfyUI/.ci/windows_nightly_base_files/run_nvidia_gpu_fast.bat
new file mode 100644
index 0000000000000000000000000000000000000000..ca6d6868af4e19fb9ee764241030451d0d15f42d
--- /dev/null
+++ b/ComfyUI/.ci/windows_nightly_base_files/run_nvidia_gpu_fast.bat
@@ -0,0 +1,2 @@
+.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --fast
+pause
diff --git a/ComfyUI/.gitattributes b/ComfyUI/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..4391de6789a22b1f650463f3dcbf0182f1a2f865
--- /dev/null
+++ b/ComfyUI/.gitattributes
@@ -0,0 +1,2 @@
+/web/assets/** linguist-generated
+/web/** linguist-vendored
diff --git a/ComfyUI/.github/ISSUE_TEMPLATE/bug-report.yml b/ComfyUI/.github/ISSUE_TEMPLATE/bug-report.yml
new file mode 100644
index 0000000000000000000000000000000000000000..39d1992d7623a70bd23aa4bc3d26e8996a55705a
--- /dev/null
+++ b/ComfyUI/.github/ISSUE_TEMPLATE/bug-report.yml
@@ -0,0 +1,48 @@
+name: Bug Report
+description: "Something is broken inside of ComfyUI. (Do not use this if you're just having issues and need help, or if the issue relates to a custom node)"
+labels: ["Potential Bug"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Before submitting a **Bug Report**, please ensure the following:
+
+        - **1:** You are running the latest version of ComfyUI.
+        - **2:** You have looked at the existing bug reports and made sure this isn't already reported.
+        - **3:** You confirmed that the bug is not caused by a custom node. You can disable all custom nodes by passing
+        `--disable-all-custom-nodes` command line argument.
+        - **4:** This is an actual bug in ComfyUI, not just a support question. A bug is when you can specify exact
+        steps to replicate what went wrong and others will be able to repeat your steps and see the same issue happen.
+
+        If unsure, ask on the [ComfyUI Matrix Space](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) or the [Comfy Org Discord](https://discord.gg/comfyorg) first.
+  - type: textarea
+    attributes:
+      label: Expected Behavior
+      description: "What you expected to happen."
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Actual Behavior
+      description: "What actually happened. Please include a screenshot of the issue if possible."
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Steps to Reproduce
+      description: "Describe how to reproduce the issue. Please be sure to attach a workflow JSON or PNG, ideally one that doesn't require custom nodes to test. If the bug open happens when certain custom nodes are used, most likely that custom node is what has the bug rather than ComfyUI, in which case it should be reported to the node's author."
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Debug Logs
+      description: "Please copy the output from your terminal logs here."
+      render: powershell
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Other
+      description: "Any other additional information you think might be helpful."
+    validations:
+      required: false
diff --git a/ComfyUI/.github/ISSUE_TEMPLATE/config.yml b/ComfyUI/.github/ISSUE_TEMPLATE/config.yml
new file mode 100644
index 0000000000000000000000000000000000000000..09fea712edc0df7bada8c850abde6370cbf35719
--- /dev/null
+++ b/ComfyUI/.github/ISSUE_TEMPLATE/config.yml
@@ -0,0 +1,11 @@
+blank_issues_enabled: true
+contact_links:
+  - name: ComfyUI Frontend Issues
+    url: https://github.com/Comfy-Org/ComfyUI_frontend/issues
+    about: Issues related to the ComfyUI frontend (display issues, user interaction bugs), please go to the frontend repo to file the issue
+  - name: ComfyUI Matrix Space
+    url: https://app.element.io/#/room/%23comfyui_space%3Amatrix.org
+    about: The ComfyUI Matrix Space is available for support and general discussion related to ComfyUI (Matrix is like Discord but open source).
+  - name: Comfy Org Discord
+    url: https://discord.gg/comfyorg
+    about: The Comfy Org Discord is available for support and general discussion related to ComfyUI.
diff --git a/ComfyUI/.github/ISSUE_TEMPLATE/feature-request.yml b/ComfyUI/.github/ISSUE_TEMPLATE/feature-request.yml
new file mode 100644
index 0000000000000000000000000000000000000000..419721b63b4c0df62989862ea12cf2274d5788d7
--- /dev/null
+++ b/ComfyUI/.github/ISSUE_TEMPLATE/feature-request.yml
@@ -0,0 +1,32 @@
+name: Feature Request
+description: "You have an idea for something new you would like to see added to ComfyUI's core."
+labels: [ "Feature" ]
+body:
+    - type: markdown
+      attributes:
+        value: |
+                Before submitting a **Feature Request**, please ensure the following:
+
+                **1:** You are running the latest version of ComfyUI.
+                **2:** You have looked to make sure there is not already a feature that does what you need, and there is not already a Feature Request listed for the same idea.
+                **3:** This is something that makes sense to add to ComfyUI Core, and wouldn't make more sense as a custom node.
+
+                If unsure, ask on the [ComfyUI Matrix Space](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) or the [Comfy Org Discord](https://discord.gg/comfyorg) first.
+    - type: textarea
+      attributes:
+            label: Feature Idea
+            description: "Describe the feature you want to see."
+      validations:
+            required: true
+    - type: textarea
+      attributes:
+                label: Existing Solutions
+                description: "Please search through available custom nodes / extensions to see if there are existing custom solutions for this. If so, please link the options you found here as a reference."
+      validations:
+                required: false
+    - type: textarea
+      attributes:
+                label: Other
+                description: "Any other additional information you think might be helpful."
+      validations:
+                required: false
diff --git a/ComfyUI/.github/ISSUE_TEMPLATE/user-support.yml b/ComfyUI/.github/ISSUE_TEMPLATE/user-support.yml
new file mode 100644
index 0000000000000000000000000000000000000000..df28804c6e950845d7204e5def64b33669d48a9d
--- /dev/null
+++ b/ComfyUI/.github/ISSUE_TEMPLATE/user-support.yml
@@ -0,0 +1,32 @@
+name: User Support
+description: "Use this if you need help with something, or you're experiencing an issue."
+labels: [ "User Support" ]
+body:
+    - type: markdown
+      attributes:
+        value: |
+            Before submitting a **User Report** issue, please ensure the following:
+
+            **1:** You are running the latest version of ComfyUI.
+            **2:** You have made an effort to find public answers to your question before asking here. In other words, you googled it first, and scrolled through recent help topics.
+
+                If unsure, ask on the [ComfyUI Matrix Space](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) or the [Comfy Org Discord](https://discord.gg/comfyorg) first.
+    - type: textarea
+      attributes:
+            label: Your question
+            description: "Post your question here. Please be as detailed as possible."
+      validations:
+            required: true
+    - type: textarea
+      attributes:
+                label: Logs
+                description: "If your question relates to an issue you're experiencing, please go to `Server` -> `Logs` -> potentially set `View Type` to `Debug` as well, then copypaste all the text into here."
+                render: powershell
+      validations:
+                required: false
+    - type: textarea
+      attributes:
+                label: Other
+                description: "Any other additional information you think might be helpful."
+      validations:
+                required: false
diff --git a/ComfyUI/.github/workflows/pullrequest-ci-run.yml b/ComfyUI/.github/workflows/pullrequest-ci-run.yml
new file mode 100644
index 0000000000000000000000000000000000000000..691480bcfcec71cc115a78517b8cc6f9e5d79bfb
--- /dev/null
+++ b/ComfyUI/.github/workflows/pullrequest-ci-run.yml
@@ -0,0 +1,53 @@
+# This is the GitHub Workflow that drives full-GPU-enabled tests of pull requests to ComfyUI, when the 'Run-CI-Test' label is added
+# Results are reported as checkmarks on the commits, as well as onto https://ci.comfy.org/
+name: Pull Request CI Workflow Runs
+on:
+    pull_request_target:
+        types: [labeled]
+
+jobs:
+  pr-test-stable:
+    if: ${{ github.event.label.name == 'Run-CI-Test' }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [macos, linux, windows]
+        python_version: ["3.9", "3.10", "3.11", "3.12"]
+        cuda_version: ["12.1"]
+        torch_version: ["stable"]
+        include:
+          - os: macos
+            runner_label: [self-hosted, macOS]
+            flags: "--use-pytorch-cross-attention"
+          - os: linux
+            runner_label: [self-hosted, Linux]
+            flags: ""
+          - os: windows
+            runner_label: [self-hosted, win]
+            flags: ""
+    runs-on: ${{ matrix.runner_label }}
+    steps:
+      - name: Test Workflows
+        uses: comfy-org/comfy-action@main
+        with:
+          os: ${{ matrix.os }}
+          python_version: ${{ matrix.python_version }}
+          torch_version: ${{ matrix.torch_version }}
+          google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }}
+          comfyui_flags: ${{ matrix.flags }}
+          use_prior_commit: 'true'
+  comment:
+    if: ${{ github.event.label.name == 'Run-CI-Test' }}
+    runs-on: ubuntu-latest
+    permissions:
+      pull-requests: write
+    steps:
+      - uses: actions/github-script@v6
+        with:
+          script: |
+            github.rest.issues.createComment({
+              issue_number: context.issue.number,
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              body: '(Automated Bot Message) CI Tests are running, you can view the results at https://ci.comfy.org/?branch=${{ github.event.pull_request.number }}%2Fmerge'
+            })
diff --git a/ComfyUI/.github/workflows/pylint.yml b/ComfyUI/.github/workflows/pylint.yml
new file mode 100644
index 0000000000000000000000000000000000000000..5effbea35fc735fab327c6270feccecf65d0ec3d
--- /dev/null
+++ b/ComfyUI/.github/workflows/pylint.yml
@@ -0,0 +1,23 @@
+name: Python Linting
+
+on: [push, pull_request]
+
+jobs:
+  pylint:
+    name: Run Pylint
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v4
+
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: 3.x
+
+    - name: Install Pylint
+      run: pip install pylint
+
+    - name: Run Pylint
+      run: pylint --rcfile=.pylintrc $(find . -type f -name "*.py")
diff --git a/ComfyUI/.github/workflows/stable-release.yml b/ComfyUI/.github/workflows/stable-release.yml
new file mode 100644
index 0000000000000000000000000000000000000000..658816afe19d8c231e40da5ec443b9eec58de035
--- /dev/null
+++ b/ComfyUI/.github/workflows/stable-release.yml
@@ -0,0 +1,104 @@
+
+name: "Release Stable Version"
+
+on:
+  workflow_dispatch:
+    inputs:
+      git_tag:
+        description: 'Git tag'
+        required: true
+        type: string
+      cu:
+        description: 'CUDA version'
+        required: true
+        type: string
+        default: "121"
+      python_minor:
+        description: 'Python minor version'
+        required: true
+        type: string
+        default: "11"
+      python_patch:
+        description: 'Python patch version'
+        required: true
+        type: string
+        default: "9"
+
+
+jobs:
+  package_comfy_windows:
+    permissions:
+      contents: "write"
+      packages: "write"
+      pull-requests: "read"
+    runs-on: windows-latest
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.git_tag }}
+          fetch-depth: 0
+          persist-credentials: false
+      - uses: actions/cache/restore@v4
+        id: cache
+        with:
+          path: |
+            cu${{ inputs.cu }}_python_deps.tar
+            update_comfyui_and_python_dependencies.bat
+          key: ${{ runner.os }}-build-cu${{ inputs.cu }}-${{ inputs.python_minor }}
+      - shell: bash
+        run: |
+          mv cu${{ inputs.cu }}_python_deps.tar ../
+          mv update_comfyui_and_python_dependencies.bat ../
+          cd ..
+          tar xf cu${{ inputs.cu }}_python_deps.tar
+          pwd
+          ls
+
+      - shell: bash
+        run: |
+          cd ..
+          cp -r ComfyUI ComfyUI_copy
+          curl https://www.python.org/ftp/python/3.${{ inputs.python_minor }}.${{ inputs.python_patch }}/python-3.${{ inputs.python_minor }}.${{ inputs.python_patch }}-embed-amd64.zip -o python_embeded.zip
+          unzip python_embeded.zip -d python_embeded
+          cd python_embeded
+          echo ${{ env.MINOR_VERSION }}
+          echo 'import site' >> ./python3${{ inputs.python_minor }}._pth
+          curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
+          ./python.exe get-pip.py
+          ./python.exe -s -m pip install ../cu${{ inputs.cu }}_python_deps/*
+            sed -i '1i../ComfyUI' ./python3${{ inputs.python_minor }}._pth
+            cd ..
+
+          git clone --depth 1 https://github.com/comfyanonymous/taesd
+          cp taesd/*.pth ./ComfyUI_copy/models/vae_approx/
+
+          mkdir ComfyUI_windows_portable
+          mv python_embeded ComfyUI_windows_portable
+          mv ComfyUI_copy ComfyUI_windows_portable/ComfyUI
+
+          cd ComfyUI_windows_portable
+
+          mkdir update
+          cp -r ComfyUI/.ci/update_windows/* ./update/
+          cp -r ComfyUI/.ci/windows_base_files/* ./
+          cp ../update_comfyui_and_python_dependencies.bat ./update/
+
+          cd ..
+
+          "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma2 -mx=8 -mfb=64 -md=32m -ms=on -mf=BCJ2 ComfyUI_windows_portable.7z ComfyUI_windows_portable
+          mv ComfyUI_windows_portable.7z ComfyUI/ComfyUI_windows_portable_nvidia.7z
+
+          cd ComfyUI_windows_portable
+          python_embeded/python.exe -s ComfyUI/main.py --quick-test-for-ci --cpu
+
+          ls
+
+      - name: Upload binaries to release
+        uses: svenstaro/upload-release-action@v2
+        with:
+          repo_token: ${{ secrets.GITHUB_TOKEN }}
+          file: ComfyUI_windows_portable_nvidia.7z
+          tag: ${{ inputs.git_tag }}
+          overwrite: true
+          prerelease: true
+          make_latest: false
diff --git a/ComfyUI/.github/workflows/stale-issues.yml b/ComfyUI/.github/workflows/stale-issues.yml
new file mode 100644
index 0000000000000000000000000000000000000000..0459960706dccca86452bc82804dc79b8bcadeda
--- /dev/null
+++ b/ComfyUI/.github/workflows/stale-issues.yml
@@ -0,0 +1,21 @@
+name: 'Close stale issues'
+on:
+  schedule:
+    # Run daily at 430 am PT
+    - cron: '30 11 * * *'
+permissions:
+  issues: write
+
+jobs:
+  stale:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/stale@v9
+        with:
+          stale-issue-message: "This issue is being marked stale because it has not had any activity for 30 days. Reply below within 7 days if your issue still isn't solved, and it will be left open. Otherwise, the issue will be closed automatically."
+          days-before-stale: 30
+          days-before-close: 7
+          stale-issue-label: 'Stale'
+          only-labels: 'User Support'
+          exempt-all-assignees: true
+          exempt-all-milestones: true
diff --git a/ComfyUI/.github/workflows/test-build.yml b/ComfyUI/.github/workflows/test-build.yml
new file mode 100644
index 0000000000000000000000000000000000000000..444d6b2548c47954e0dab5e5830809f67d89d219
--- /dev/null
+++ b/ComfyUI/.github/workflows/test-build.yml
@@ -0,0 +1,31 @@
+name: Build package
+
+#
+# This workflow is a test of the python package build.
+# Install Python dependencies across different Python versions.
+#
+
+on:
+  push:
+    paths:
+      - "requirements.txt"
+      - ".github/workflows/test-build.yml"
+
+jobs:
+  build:
+    name: Build Test
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
\ No newline at end of file
diff --git a/ComfyUI/.github/workflows/test-ci.yml b/ComfyUI/.github/workflows/test-ci.yml
new file mode 100644
index 0000000000000000000000000000000000000000..be762290708aaf95ea2e0200468f424fdcd152bb
--- /dev/null
+++ b/ComfyUI/.github/workflows/test-ci.yml
@@ -0,0 +1,95 @@
+# This is the GitHub Workflow that drives automatic full-GPU-enabled tests of all new commits to the master branch of ComfyUI
+# Results are reported as checkmarks on the commits, as well as onto https://ci.comfy.org/
+name: Full Comfy CI Workflow Runs
+on:
+  push:
+    branches:
+      - master
+    paths-ignore:
+      - 'app/**'
+      - 'input/**'
+      - 'output/**'
+      - 'notebooks/**'
+      - 'script_examples/**'
+      - '.github/**'
+      - 'web/**'
+  workflow_dispatch:
+
+jobs:
+  test-stable:
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [macos, linux, windows]
+        python_version: ["3.9", "3.10", "3.11", "3.12"]
+        cuda_version: ["12.1"]
+        torch_version: ["stable"]
+        include:
+          - os: macos
+            runner_label: [self-hosted, macOS]
+            flags: "--use-pytorch-cross-attention"
+          - os: linux
+            runner_label: [self-hosted, Linux]
+            flags: ""
+          - os: windows
+            runner_label: [self-hosted, win]
+            flags: ""
+    runs-on: ${{ matrix.runner_label }}
+    steps:
+      - name: Test Workflows
+        uses: comfy-org/comfy-action@main
+        with:
+          os: ${{ matrix.os }}
+          python_version: ${{ matrix.python_version }}
+          torch_version: ${{ matrix.torch_version }}
+          google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }}
+          comfyui_flags: ${{ matrix.flags }}
+
+  test-win-nightly:
+    strategy:
+      fail-fast: true
+      matrix:
+        os: [windows]
+        python_version: ["3.9", "3.10", "3.11", "3.12"]
+        cuda_version: ["12.1"]
+        torch_version: ["nightly"]
+        include:
+          - os: windows
+            runner_label: [self-hosted, win]
+            flags: ""
+    runs-on: ${{ matrix.runner_label }}
+    steps:
+      - name: Test Workflows
+        uses: comfy-org/comfy-action@main
+        with:
+          os: ${{ matrix.os }}
+          python_version: ${{ matrix.python_version }}
+          torch_version: ${{ matrix.torch_version }}
+          google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }}
+          comfyui_flags: ${{ matrix.flags }}
+
+  test-unix-nightly:
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [macos, linux]
+        python_version: ["3.11"]
+        cuda_version: ["12.1"]
+        torch_version: ["nightly"]
+        include:
+          - os: macos
+            runner_label: [self-hosted, macOS]
+            flags: "--use-pytorch-cross-attention"
+          - os: linux
+            runner_label: [self-hosted, Linux]
+            flags: ""
+    runs-on: ${{ matrix.runner_label }}
+    steps:
+      - name: Test Workflows
+        uses: comfy-org/comfy-action@main
+        with:
+          os: ${{ matrix.os }}
+          python_version: ${{ matrix.python_version }}
+          torch_version: ${{ matrix.torch_version }}
+          google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }}
+          comfyui_flags: ${{ matrix.flags }}
diff --git a/ComfyUI/.github/workflows/test-launch.yml b/ComfyUI/.github/workflows/test-launch.yml
new file mode 100644
index 0000000000000000000000000000000000000000..42f1dbe9941c8895204ad2a1854d43f70dd2c080
--- /dev/null
+++ b/ComfyUI/.github/workflows/test-launch.yml
@@ -0,0 +1,45 @@
+name: Test server launches without errors
+
+on:
+  push:
+    branches: [ main, master ]
+  pull_request:
+    branches: [ main, master ]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+    - name: Checkout ComfyUI
+      uses: actions/checkout@v4
+      with:
+        repository: "comfyanonymous/ComfyUI"
+        path: "ComfyUI"
+    - uses: actions/setup-python@v4
+      with:
+        python-version: '3.8'
+    - name: Install requirements
+      run: |
+        python -m pip install --upgrade pip
+        pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
+        pip install -r requirements.txt
+        pip install wait-for-it
+      working-directory: ComfyUI
+    - name: Start ComfyUI server
+      run: |
+        python main.py --cpu 2>&1 | tee console_output.log &
+        wait-for-it --service 127.0.0.1:8188 -t 600
+      working-directory: ComfyUI
+    - name: Check for unhandled exceptions in server log
+      run: |
+        if grep -qE "Exception|Error" console_output.log; then
+          echo "Unhandled exception/error found in server log."
+          exit 1
+        fi
+      working-directory: ComfyUI
+    - uses: actions/upload-artifact@v4
+      if: always()
+      with:
+        name: console-output
+        path: ComfyUI/console_output.log
+        retention-days: 30
diff --git a/ComfyUI/.github/workflows/windows_release_dependencies.yml b/ComfyUI/.github/workflows/windows_release_dependencies.yml
new file mode 100644
index 0000000000000000000000000000000000000000..8d3a8665ded960c9a337edb70785e87ce302fb71
--- /dev/null
+++ b/ComfyUI/.github/workflows/windows_release_dependencies.yml
@@ -0,0 +1,71 @@
+name: "Windows Release dependencies"
+
+on:
+  workflow_dispatch:
+    inputs:
+      xformers:
+        description: 'xformers version'
+        required: false
+        type: string
+        default: ""
+      extra_dependencies:
+        description: 'extra dependencies'
+        required: false
+        type: string
+        default: "\"numpy<2\""
+      cu:
+        description: 'cuda version'
+        required: true
+        type: string
+        default: "124"
+
+      python_minor:
+        description: 'python minor version'
+        required: true
+        type: string
+        default: "11"
+
+      python_patch:
+        description: 'python patch version'
+        required: true
+        type: string
+        default: "9"
+#  push:
+#    branches:
+#      - master
+
+jobs:
+  build_dependencies:
+    runs-on: windows-latest
+    steps:
+        - uses: actions/checkout@v4
+        - uses: actions/setup-python@v5
+          with:
+            python-version: 3.${{ inputs.python_minor }}.${{ inputs.python_patch }}
+
+        - shell: bash
+          run: |
+            echo "@echo off
+            call update_comfyui.bat nopause
+            echo -
+            echo This will try to update pytorch and all python dependencies.
+            echo -
+            echo If you just want to update normally, close this and run update_comfyui.bat instead.
+            echo -
+            pause
+            ..\python_embeded\python.exe -s -m pip install --upgrade torch torchvision torchaudio ${{ inputs.xformers }} --extra-index-url https://download.pytorch.org/whl/cu${{ inputs.cu }} -r ../ComfyUI/requirements.txt pygit2
+            pause" > update_comfyui_and_python_dependencies.bat
+
+            python -m pip wheel --no-cache-dir torch torchvision torchaudio ${{ inputs.xformers }} ${{ inputs.extra_dependencies }} --extra-index-url https://download.pytorch.org/whl/cu${{ inputs.cu }} -r requirements.txt pygit2 -w ./temp_wheel_dir
+            python -m pip install --no-cache-dir ./temp_wheel_dir/*
+            echo installed basic
+            ls -lah temp_wheel_dir
+            mv temp_wheel_dir cu${{ inputs.cu }}_python_deps
+            tar cf cu${{ inputs.cu }}_python_deps.tar cu${{ inputs.cu }}_python_deps
+
+        - uses: actions/cache/save@v4
+          with:
+            path: |
+              cu${{ inputs.cu }}_python_deps.tar
+              update_comfyui_and_python_dependencies.bat
+            key: ${{ runner.os }}-build-cu${{ inputs.cu }}-${{ inputs.python_minor }}
diff --git a/ComfyUI/.github/workflows/windows_release_nightly_pytorch.yml b/ComfyUI/.github/workflows/windows_release_nightly_pytorch.yml
new file mode 100644
index 0000000000000000000000000000000000000000..07f52e0b22d7a977c4d0c8c30daa9a4c72acb999
--- /dev/null
+++ b/ComfyUI/.github/workflows/windows_release_nightly_pytorch.yml
@@ -0,0 +1,91 @@
+name: "Windows Release Nightly pytorch"
+
+on:
+  workflow_dispatch:
+    inputs:
+      cu:
+        description: 'cuda version'
+        required: true
+        type: string
+        default: "124"
+
+      python_minor:
+        description: 'python minor version'
+        required: true
+        type: string
+        default: "12"
+
+      python_patch:
+        description: 'python patch version'
+        required: true
+        type: string
+        default: "4"
+#  push:
+#    branches:
+#      - master
+
+jobs:
+  build:
+    permissions:
+        contents: "write"
+        packages: "write"
+        pull-requests: "read"
+    runs-on: windows-latest
+    steps:
+        - uses: actions/checkout@v4
+          with:
+            fetch-depth: 0
+            persist-credentials: false
+        - uses: actions/setup-python@v5
+          with:
+            python-version: 3.${{ inputs.python_minor }}.${{ inputs.python_patch }}
+        - shell: bash
+          run: |
+            cd ..
+            cp -r ComfyUI ComfyUI_copy
+            curl https://www.python.org/ftp/python/3.${{ inputs.python_minor }}.${{ inputs.python_patch }}/python-3.${{ inputs.python_minor }}.${{ inputs.python_patch }}-embed-amd64.zip -o python_embeded.zip
+            unzip python_embeded.zip -d python_embeded
+            cd python_embeded
+            echo 'import site' >> ./python3${{ inputs.python_minor }}._pth
+            curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
+            ./python.exe get-pip.py
+            python -m pip wheel torch torchvision torchaudio --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu${{ inputs.cu }} -r ../ComfyUI/requirements.txt pygit2 -w ../temp_wheel_dir
+            ls ../temp_wheel_dir
+            ./python.exe -s -m pip install --pre ../temp_wheel_dir/*
+            sed -i '1i../ComfyUI' ./python3${{ inputs.python_minor }}._pth
+            cd ..
+
+            git clone --depth 1 https://github.com/comfyanonymous/taesd
+            cp taesd/*.pth ./ComfyUI_copy/models/vae_approx/
+
+            mkdir ComfyUI_windows_portable_nightly_pytorch
+            mv python_embeded ComfyUI_windows_portable_nightly_pytorch
+            mv ComfyUI_copy ComfyUI_windows_portable_nightly_pytorch/ComfyUI
+
+            cd ComfyUI_windows_portable_nightly_pytorch
+
+            mkdir update
+            cp -r ComfyUI/.ci/update_windows/* ./update/
+            cp -r ComfyUI/.ci/windows_base_files/* ./
+            cp -r ComfyUI/.ci/windows_nightly_base_files/* ./
+
+            echo "call update_comfyui.bat nopause
+            ..\python_embeded\python.exe -s -m pip install --upgrade --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu${{ inputs.cu }} -r ../ComfyUI/requirements.txt pygit2
+            pause" > ./update/update_comfyui_and_python_dependencies.bat
+            cd ..
+
+            "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma2 -mx=8 -mfb=64 -md=32m -ms=on -mf=BCJ2 ComfyUI_windows_portable_nightly_pytorch.7z ComfyUI_windows_portable_nightly_pytorch
+            mv ComfyUI_windows_portable_nightly_pytorch.7z ComfyUI/ComfyUI_windows_portable_nvidia_or_cpu_nightly_pytorch.7z
+
+            cd ComfyUI_windows_portable_nightly_pytorch
+            python_embeded/python.exe -s ComfyUI/main.py --quick-test-for-ci --cpu
+
+            ls
+
+        - name: Upload binaries to release
+          uses: svenstaro/upload-release-action@v2
+          with:
+                repo_token: ${{ secrets.GITHUB_TOKEN }}
+                file: ComfyUI_windows_portable_nvidia_or_cpu_nightly_pytorch.7z
+                tag: "latest"
+                overwrite: true
diff --git a/ComfyUI/.github/workflows/windows_release_package.yml b/ComfyUI/.github/workflows/windows_release_package.yml
new file mode 100644
index 0000000000000000000000000000000000000000..84d99b8a6b080f86bd758a09df65fe1aa52ac41f
--- /dev/null
+++ b/ComfyUI/.github/workflows/windows_release_package.yml
@@ -0,0 +1,100 @@
+name: "Windows Release packaging"
+
+on:
+  workflow_dispatch:
+    inputs:
+      cu:
+        description: 'cuda version'
+        required: true
+        type: string
+        default: "124"
+
+      python_minor:
+        description: 'python minor version'
+        required: true
+        type: string
+        default: "11"
+
+      python_patch:
+        description: 'python patch version'
+        required: true
+        type: string
+        default: "9"
+#  push:
+#    branches:
+#      - master
+
+jobs:
+  package_comfyui:
+    permissions:
+        contents: "write"
+        packages: "write"
+        pull-requests: "read"
+    runs-on: windows-latest
+    steps:
+        - uses: actions/cache/restore@v4
+          id: cache
+          with:
+            path: |
+              cu${{ inputs.cu }}_python_deps.tar
+              update_comfyui_and_python_dependencies.bat
+            key: ${{ runner.os }}-build-cu${{ inputs.cu }}-${{ inputs.python_minor }}
+        - shell: bash
+          run: |
+            mv cu${{ inputs.cu }}_python_deps.tar ../
+            mv update_comfyui_and_python_dependencies.bat ../
+            cd ..
+            tar xf cu${{ inputs.cu }}_python_deps.tar
+            pwd
+            ls
+
+        - uses: actions/checkout@v4
+          with:
+            fetch-depth: 0
+            persist-credentials: false
+        - shell: bash
+          run: |
+            cd ..
+            cp -r ComfyUI ComfyUI_copy
+            curl https://www.python.org/ftp/python/3.${{ inputs.python_minor }}.${{ inputs.python_patch }}/python-3.${{ inputs.python_minor }}.${{ inputs.python_patch }}-embed-amd64.zip -o python_embeded.zip
+            unzip python_embeded.zip -d python_embeded
+            cd python_embeded
+            echo 'import site' >> ./python3${{ inputs.python_minor }}._pth
+            curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
+            ./python.exe get-pip.py
+            ./python.exe -s -m pip install ../cu${{ inputs.cu }}_python_deps/*
+            sed -i '1i../ComfyUI' ./python3${{ inputs.python_minor }}._pth
+            cd ..
+
+            git clone --depth 1 https://github.com/comfyanonymous/taesd
+            cp taesd/*.pth ./ComfyUI_copy/models/vae_approx/
+
+            mkdir ComfyUI_windows_portable
+            mv python_embeded ComfyUI_windows_portable
+            mv ComfyUI_copy ComfyUI_windows_portable/ComfyUI
+
+            cd ComfyUI_windows_portable
+
+            mkdir update
+            cp -r ComfyUI/.ci/update_windows/* ./update/
+            cp -r ComfyUI/.ci/windows_base_files/* ./
+            cp ../update_comfyui_and_python_dependencies.bat ./update/
+
+            cd ..
+
+            "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma2 -mx=8 -mfb=64 -md=32m -ms=on -mf=BCJ2 ComfyUI_windows_portable.7z ComfyUI_windows_portable
+            mv ComfyUI_windows_portable.7z ComfyUI/new_ComfyUI_windows_portable_nvidia_cu${{ inputs.cu }}_or_cpu.7z
+
+            cd ComfyUI_windows_portable
+            python_embeded/python.exe -s ComfyUI/main.py --quick-test-for-ci --cpu
+
+            ls
+
+        - name: Upload binaries to release
+          uses: svenstaro/upload-release-action@v2
+          with:
+                repo_token: ${{ secrets.GITHUB_TOKEN }}
+                file: new_ComfyUI_windows_portable_nvidia_cu${{ inputs.cu }}_or_cpu.7z
+                tag: "latest"
+                overwrite: true
+
diff --git a/ComfyUI/.gitignore b/ComfyUI/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..b212b0297faa4e50e3fb079d735999048e23d3c3
--- /dev/null
+++ b/ComfyUI/.gitignore
@@ -0,0 +1,22 @@
+__pycache__/
+*.py[cod]
+/output/
+/input/
+!/input/example.png
+/models/
+/temp/
+/custom_nodes/
+!custom_nodes/example_node.py.example
+extra_model_paths.yaml
+/.vs
+.vscode/
+.idea/
+venv/
+/web/extensions/*
+!/web/extensions/logging.js.example
+!/web/extensions/core/
+/tests-ui/data/object_info.json
+/user/
+*.log
+web_custom_versions/
+.DS_Store
diff --git a/ComfyUI/.ipynb_checkpoints/comfyui_3001-checkpoint.log b/ComfyUI/.ipynb_checkpoints/comfyui_3001-checkpoint.log
new file mode 100644
index 0000000000000000000000000000000000000000..4b86ba90c7ae6f851cb40567852e8c1ebb29c88f
--- /dev/null
+++ b/ComfyUI/.ipynb_checkpoints/comfyui_3001-checkpoint.log
@@ -0,0 +1,47 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 05:36] ** ComfyUI startup time: 2024-09-06 05:36:08.425419
+[2024-09-06 05:36] ** Platform: Linux
+[2024-09-06 05:36] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 05:36] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 05:36] ** ComfyUI Path: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI
+[2024-09-06 05:36] ** Log path: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/comfyui.log
+[2024-09-06 05:36] 
+Prestartup times for custom nodes:
+[2024-09-06 05:36]    0.9 seconds: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 05:36] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 05:36] pytorch version: 2.4.1+cu121
+[2024-09-06 05:36] Set vram state to: NORMAL_VRAM
+[2024-09-06 05:36] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 05:36] Using pytorch cross attention
+[2024-09-06 05:36] [Prompt Server] web root: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/web
+[2024-09-06 05:36] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 05:36] Ib Custom Nodes: Loaded
+[2024-09-06 05:36] [VideoHelperSuite] - WARNING - Failed to import imageio_ffmpeg
+[2024-09-06 05:36] [VideoHelperSuite] - ERROR - No valid ffmpeg found.
+[2024-09-06 05:36] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 05:36] pytorch version: 2.4.1+cu121
+[2024-09-06 05:36] Set vram state to: NORMAL_VRAM
+[2024-09-06 05:36] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 05:36] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 05:36] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 05:36] 
+Import times for custom nodes:
+[2024-09-06 05:36]    0.0 seconds: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 05:36]    0.0 seconds: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 05:36]    0.0 seconds: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 05:36]    0.0 seconds: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 05:36]    0.0 seconds: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 05:36]    0.0 seconds: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 05:36]    0.0 seconds: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 05:36]    0.1 seconds: /home/ubuntu/AI/comfyui/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 05:36] 
+[2024-09-06 05:36] Starting server
+
+[2024-09-06 05:36] To see the GUI go to: http://0.0.0.0:3001
+[2024-09-06 05:36] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 05:36] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 05:36] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 05:36] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 05:36] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
diff --git a/ComfyUI/.pylintrc b/ComfyUI/.pylintrc
new file mode 100644
index 0000000000000000000000000000000000000000..a5da56e57ca44931ade3ea1b307fd3f955a17977
--- /dev/null
+++ b/ComfyUI/.pylintrc
@@ -0,0 +1,3 @@
+[MESSAGES CONTROL]
+disable=all
+enable=eval-used
diff --git a/ComfyUI/CODEOWNERS b/ComfyUI/CODEOWNERS
new file mode 100644
index 0000000000000000000000000000000000000000..7c7c3e19eaaff42625016ced81fbc3fb74586761
--- /dev/null
+++ b/ComfyUI/CODEOWNERS
@@ -0,0 +1 @@
+*       @comfyanonymous
diff --git a/ComfyUI/CONTRIBUTING.md b/ComfyUI/CONTRIBUTING.md
new file mode 100644
index 0000000000000000000000000000000000000000..048f127e72ddc351451a9612d4c715f603393a84
--- /dev/null
+++ b/ComfyUI/CONTRIBUTING.md
@@ -0,0 +1,41 @@
+# Contributing to ComfyUI
+
+Welcome, and thank you for your interest in contributing to ComfyUI!
+
+There are several ways in which you can contribute, beyond writing code. The goal of this document is to provide a high-level overview of how you can get involved.
+
+## Asking Questions
+
+Have a question? Instead of opening an issue, please ask on [Discord](https://comfy.org/discord) or [Matrix](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) channels. Our team and the community will help you.
+
+## Providing Feedback
+
+Your comments and feedback are welcome, and the development team is available via a handful of different channels.
+
+See the `#bug-report`, `#feature-request` and `#feedback` channels on Discord.
+
+## Reporting Issues
+
+Have you identified a reproducible problem in ComfyUI? Do you have a feature request? We want to hear about it! Here's how you can report your issue as effectively as possible.
+
+
+### Look For an Existing Issue
+
+Before you create a new issue, please do a search in [open issues](https://github.com/comfyanonymous/ComfyUI/issues) to see if the issue or feature request has already been filed.
+
+If you find your issue already exists, make relevant comments and add your [reaction](https://github.com/blog/2119-add-reactions-to-pull-requests-issues-and-comments). Use a reaction in place of a "+1" comment:
+
+* 👍 - upvote
+* 👎 - downvote
+
+If you cannot find an existing issue that describes your bug or feature, create a new issue. We have an issue template in place to organize new issues.
+
+
+### Creating Pull Requests
+
+* Please refer to the article on [creating pull requests](https://github.com/comfyanonymous/ComfyUI/wiki/How-to-Contribute-Code) and contributing to this project.
+
+
+## Thank You
+
+Your contributions to open source, large or small, make great projects like this possible. Thank you for taking the time to contribute.
diff --git a/ComfyUI/LICENSE b/ComfyUI/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..f288702d2fa16d3cdf0035b15a9fcbc552cd88e7
--- /dev/null
+++ b/ComfyUI/LICENSE
@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights.  Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
+  For example, if you distribute copies of such a program, whether
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+
+  Developers that use the GNU GPL protect your rights with two steps:
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+giving you legal permission to copy, distribute and/or modify it.
+
+  For the developers' and authors' protection, the GPL clearly explains
+that there is no warranty for this free software.  For both users' and
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+changed, so that their problems will not be attributed erroneously to
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+
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+  The precise terms and conditions for copying, distribution and
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diff --git a/ComfyUI/README.md b/ComfyUI/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..d9fccb500c8143679e13b82a3c1e25341a2438fd
--- /dev/null
+++ b/ComfyUI/README.md
@@ -0,0 +1,295 @@
+<div align="center">
+
+# ComfyUI
+**The most powerful and modular diffusion model GUI and backend.**
+
+
+[![Website][website-shield]][website-url]
+[![Dynamic JSON Badge][discord-shield]][discord-url]
+[![Matrix][matrix-shield]][matrix-url]
+<br>
+[![][github-release-shield]][github-release-link]
+[![][github-release-date-shield]][github-release-link]
+[![][github-downloads-shield]][github-downloads-link]
+[![][github-downloads-latest-shield]][github-downloads-link]
+
+[matrix-shield]: https://img.shields.io/badge/Matrix-000000?style=flat&logo=matrix&logoColor=white
+[matrix-url]: https://app.element.io/#/room/%23comfyui_space%3Amatrix.org
+[website-shield]: https://img.shields.io/badge/ComfyOrg-4285F4?style=flat
+[website-url]: https://www.comfy.org/
+<!-- Workaround to display total user from https://github.com/badges/shields/issues/4500#issuecomment-2060079995 -->
+[discord-shield]: https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fcomfyorg%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&logo=discord&logoColor=white&label=Discord&color=green&suffix=%20total
+[discord-url]: https://www.comfy.org/discord
+
+[github-release-shield]: https://img.shields.io/github/v/release/comfyanonymous/ComfyUI?style=flat&sort=semver
+[github-release-link]: https://github.com/comfyanonymous/ComfyUI/releases
+[github-release-date-shield]: https://img.shields.io/github/release-date/comfyanonymous/ComfyUI?style=flat
+[github-downloads-shield]: https://img.shields.io/github/downloads/comfyanonymous/ComfyUI/total?style=flat
+[github-downloads-latest-shield]: https://img.shields.io/github/downloads/comfyanonymous/ComfyUI/latest/total?style=flat&label=downloads%40latest
+[github-downloads-link]: https://github.com/comfyanonymous/ComfyUI/releases
+
+![ComfyUI Screenshot](comfyui_screenshot.png)
+</div>
+
+This ui will let you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart based interface. For some workflow examples and see what ComfyUI can do you can check out:
+### [ComfyUI Examples](https://comfyanonymous.github.io/ComfyUI_examples/)
+
+### [Installing ComfyUI](#installing)
+
+## Features
+- Nodes/graph/flowchart interface to experiment and create complex Stable Diffusion workflows without needing to code anything.
+- Fully supports SD1.x, SD2.x, [SDXL](https://comfyanonymous.github.io/ComfyUI_examples/sdxl/), [Stable Video Diffusion](https://comfyanonymous.github.io/ComfyUI_examples/video/), [Stable Cascade](https://comfyanonymous.github.io/ComfyUI_examples/stable_cascade/), [SD3](https://comfyanonymous.github.io/ComfyUI_examples/sd3/) and [Stable Audio](https://comfyanonymous.github.io/ComfyUI_examples/audio/)
+- [Flux](https://comfyanonymous.github.io/ComfyUI_examples/flux/)
+- Asynchronous Queue system
+- Many optimizations: Only re-executes the parts of the workflow that changes between executions.
+- Smart memory management: can automatically run models on GPUs with as low as 1GB vram.
+- Works even if you don't have a GPU with: ```--cpu``` (slow)
+- Can load ckpt, safetensors and diffusers models/checkpoints. Standalone VAEs and CLIP models.
+- Embeddings/Textual inversion
+- [Loras (regular, locon and loha)](https://comfyanonymous.github.io/ComfyUI_examples/lora/)
+- [Hypernetworks](https://comfyanonymous.github.io/ComfyUI_examples/hypernetworks/)
+- Loading full workflows (with seeds) from generated PNG, WebP and FLAC files.
+- Saving/Loading workflows as Json files.
+- Nodes interface can be used to create complex workflows like one for [Hires fix](https://comfyanonymous.github.io/ComfyUI_examples/2_pass_txt2img/) or much more advanced ones.
+- [Area Composition](https://comfyanonymous.github.io/ComfyUI_examples/area_composition/)
+- [Inpainting](https://comfyanonymous.github.io/ComfyUI_examples/inpaint/) with both regular and inpainting models.
+- [ControlNet and T2I-Adapter](https://comfyanonymous.github.io/ComfyUI_examples/controlnet/)
+- [Upscale Models (ESRGAN, ESRGAN variants, SwinIR, Swin2SR, etc...)](https://comfyanonymous.github.io/ComfyUI_examples/upscale_models/)
+- [unCLIP Models](https://comfyanonymous.github.io/ComfyUI_examples/unclip/)
+- [GLIGEN](https://comfyanonymous.github.io/ComfyUI_examples/gligen/)
+- [Model Merging](https://comfyanonymous.github.io/ComfyUI_examples/model_merging/)
+- [LCM models and Loras](https://comfyanonymous.github.io/ComfyUI_examples/lcm/)
+- [SDXL Turbo](https://comfyanonymous.github.io/ComfyUI_examples/sdturbo/)
+- [AuraFlow](https://comfyanonymous.github.io/ComfyUI_examples/aura_flow/)
+- [HunyuanDiT](https://comfyanonymous.github.io/ComfyUI_examples/hunyuan_dit/)
+- Latent previews with [TAESD](#how-to-show-high-quality-previews)
+- Starts up very fast.
+- Works fully offline: will never download anything.
+- [Config file](extra_model_paths.yaml.example) to set the search paths for models.
+
+Workflow examples can be found on the [Examples page](https://comfyanonymous.github.io/ComfyUI_examples/)
+
+## Shortcuts
+
+| Keybind                            | Explanation                                                                                                        |
+|------------------------------------|--------------------------------------------------------------------------------------------------------------------|
+| Ctrl + Enter                       | Queue up current graph for generation                                                                              |
+| Ctrl + Shift + Enter               | Queue up current graph as first for generation                                                                     |
+| Ctrl + Alt + Enter                 | Cancel current generation                                                                                          |
+| Ctrl + Z/Ctrl + Y                  | Undo/Redo                                                                                                          |
+| Ctrl + S                           | Save workflow                                                                                                      |
+| Ctrl + O                           | Load workflow                                                                                                      |
+| Ctrl + A                           | Select all nodes                                                                                                   |
+| Alt + C                            | Collapse/uncollapse selected nodes                                                                                 |
+| Ctrl + M                           | Mute/unmute selected nodes                                                                                         |
+| Ctrl + B                           | Bypass selected nodes (acts like the node was removed from the graph and the wires reconnected through)            |
+| Delete/Backspace                   | Delete selected nodes                                                                                              |
+| Ctrl + Backspace                   | Delete the current graph                                                                                           |
+| Space                              | Move the canvas around when held and moving the cursor                                                             |
+| Ctrl/Shift + Click                 | Add clicked node to selection                                                                                      |
+| Ctrl + C/Ctrl + V                  | Copy and paste selected nodes (without maintaining connections to outputs of unselected nodes)                     |
+| Ctrl + C/Ctrl + Shift + V          | Copy and paste selected nodes (maintaining connections from outputs of unselected nodes to inputs of pasted nodes) |
+| Shift + Drag                       | Move multiple selected nodes at the same time                                                                      |
+| Ctrl + D                           | Load default graph                                                                                                 |
+| Alt + `+`                          | Canvas Zoom in                                                                                                     |
+| Alt + `-`                          | Canvas Zoom out                                                                                                    |
+| Ctrl + Shift + LMB + Vertical drag | Canvas Zoom in/out                                                                                                 |
+| Q                                  | Toggle visibility of the queue                                                                                     |
+| H                                  | Toggle visibility of history                                                                                       |
+| R                                  | Refresh graph                                                                                                      |
+| Double-Click LMB                   | Open node quick search palette                                                                                     |
+| Shift + Drag                       | Move multiple wires at once                                                                                        |
+| Ctrl + Alt + LMB                   | Disconnect all wires from clicked slot                                                                             |
+
+Ctrl can also be replaced with Cmd instead for macOS users
+
+# Installing
+
+## Windows
+
+There is a portable standalone build for Windows that should work for running on Nvidia GPUs or for running on your CPU only on the [releases page](https://github.com/comfyanonymous/ComfyUI/releases).
+
+### [Direct link to download](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia.7z)
+
+Simply download, extract with [7-Zip](https://7-zip.org) and run. Make sure you put your Stable Diffusion checkpoints/models (the huge ckpt/safetensors files) in: ComfyUI\models\checkpoints
+
+If you have trouble extracting it, right click the file -> properties -> unblock
+
+#### How do I share models between another UI and ComfyUI?
+
+See the [Config file](extra_model_paths.yaml.example) to set the search paths for models. In the standalone windows build you can find this file in the ComfyUI directory. Rename this file to extra_model_paths.yaml and edit it with your favorite text editor.
+
+## Jupyter Notebook
+
+To run it on services like paperspace, kaggle or colab you can use my [Jupyter Notebook](notebooks/comfyui_colab.ipynb)
+
+## Manual Install (Windows, Linux)
+
+Git clone this repo.
+
+Put your SD checkpoints (the huge ckpt/safetensors files) in: models/checkpoints
+
+Put your VAE in: models/vae
+
+
+### AMD GPUs (Linux only)
+AMD users can install rocm and pytorch with pip if you don't have it already installed, this is the command to install the stable version:
+
+```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.1```
+
+This is the command to install the nightly with ROCm 6.2 which might have some performance improvements:
+
+```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.2```
+
+### NVIDIA
+
+Nvidia users should install stable pytorch using this command:
+
+```pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu124```
+
+This is the command to install pytorch nightly instead which might have performance improvements:
+
+```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu124```
+
+#### Troubleshooting
+
+If you get the "Torch not compiled with CUDA enabled" error, uninstall torch with:
+
+```pip uninstall torch```
+
+And install it again with the command above.
+
+### Dependencies
+
+Install the dependencies by opening your terminal inside the ComfyUI folder and:
+
+```pip install -r requirements.txt```
+
+After this you should have everything installed and can proceed to running ComfyUI.
+
+### Others:
+
+#### Intel GPUs
+
+Intel GPU support is available for all Intel GPUs supported by Intel's Extension for Pytorch (IPEX) with the support requirements listed in the [Installation](https://intel.github.io/intel-extension-for-pytorch/index.html#installation?platform=gpu) page. Choose your platform and method of install and follow the instructions. The steps are as follows:
+
+1. Start by installing the drivers or kernel listed or newer in the Installation page of IPEX linked above for Windows and Linux if needed.
+1. Follow the instructions to install [Intel's oneAPI Basekit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html) for your platform.
+1. Install the packages for IPEX using the instructions provided in the Installation page for your platform.
+1. Follow the [ComfyUI manual installation](#manual-install-windows-linux) instructions for Windows and Linux and run ComfyUI normally as described above after everything is installed.
+
+Additional discussion and help can be found [here](https://github.com/comfyanonymous/ComfyUI/discussions/476).
+
+#### Apple Mac silicon
+
+You can install ComfyUI in Apple Mac silicon (M1 or M2) with any recent macOS version.
+
+1. Install pytorch nightly. For instructions, read the [Accelerated PyTorch training on Mac](https://developer.apple.com/metal/pytorch/) Apple Developer guide (make sure to install the latest pytorch nightly).
+1. Follow the [ComfyUI manual installation](#manual-install-windows-linux) instructions for Windows and Linux.
+1. Install the ComfyUI [dependencies](#dependencies). If you have another Stable Diffusion UI [you might be able to reuse the dependencies](#i-already-have-another-ui-for-stable-diffusion-installed-do-i-really-have-to-install-all-of-these-dependencies).
+1. Launch ComfyUI by running `python main.py`
+
+> **Note**: Remember to add your models, VAE, LoRAs etc. to the corresponding Comfy folders, as discussed in [ComfyUI manual installation](#manual-install-windows-linux).
+
+#### DirectML (AMD Cards on Windows)
+
+```pip install torch-directml``` Then you can launch ComfyUI with: ```python main.py --directml```
+
+# Running
+
+```python main.py```
+
+### For AMD cards not officially supported by ROCm
+
+Try running it with this command if you have issues:
+
+For 6700, 6600 and maybe other RDNA2 or older: ```HSA_OVERRIDE_GFX_VERSION=10.3.0 python main.py```
+
+For AMD 7600 and maybe other RDNA3 cards: ```HSA_OVERRIDE_GFX_VERSION=11.0.0 python main.py```
+
+# Notes
+
+Only parts of the graph that have an output with all the correct inputs will be executed.
+
+Only parts of the graph that change from each execution to the next will be executed, if you submit the same graph twice only the first will be executed. If you change the last part of the graph only the part you changed and the part that depends on it will be executed.
+
+Dragging a generated png on the webpage or loading one will give you the full workflow including seeds that were used to create it.
+
+You can use () to change emphasis of a word or phrase like: (good code:1.2) or (bad code:0.8). The default emphasis for () is 1.1. To use () characters in your actual prompt escape them like \\( or \\).
+
+You can use {day|night}, for wildcard/dynamic prompts. With this syntax "{wild|card|test}" will be randomly replaced by either "wild", "card" or "test" by the frontend every time you queue the prompt. To use {} characters in your actual prompt escape them like: \\{ or \\}.
+
+Dynamic prompts also support C-style comments, like `// comment` or `/* comment */`.
+
+To use a textual inversion concepts/embeddings in a text prompt put them in the models/embeddings directory and use them in the CLIPTextEncode node like this (you can omit the .pt extension):
+
+```embedding:embedding_filename.pt```
+
+
+## How to show high-quality previews?
+
+Use ```--preview-method auto``` to enable previews.
+
+The default installation includes a fast latent preview method that's low-resolution. To enable higher-quality previews with [TAESD](https://github.com/madebyollin/taesd), download the [taesd_decoder.pth, taesdxl_decoder.pth, taesd3_decoder.pth and taef1_decoder.pth](https://github.com/madebyollin/taesd/) and place them in the `models/vae_approx` folder. Once they're installed, restart ComfyUI and launch it with `--preview-method taesd` to enable high-quality previews.
+
+## How to use TLS/SSL?
+Generate a self-signed certificate (not appropriate for shared/production use) and key by running the command: `openssl req -x509 -newkey rsa:4096 -keyout key.pem -out cert.pem -sha256 -days 3650 -nodes -subj "/C=XX/ST=StateName/L=CityName/O=CompanyName/OU=CompanySectionName/CN=CommonNameOrHostname"`
+
+Use `--tls-keyfile key.pem --tls-certfile cert.pem` to enable TLS/SSL, the app will now be accessible with `https://...` instead of `http://...`.
+
+> Note: Windows users can use [alexisrolland/docker-openssl](https://github.com/alexisrolland/docker-openssl) or one of the [3rd party binary distributions](https://wiki.openssl.org/index.php/Binaries) to run the command example above. 
+<br/><br/>If you use a container, note that the volume mount `-v` can be a relative path so `... -v ".\:/openssl-certs" ...` would create the key & cert files in the current directory of your command prompt or powershell terminal.
+
+## Support and dev channel
+
+[Matrix space: #comfyui_space:matrix.org](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) (it's like discord but open source).
+
+See also: [https://www.comfy.org/](https://www.comfy.org/)
+
+## Frontend Development
+
+As of August 15, 2024, we have transitioned to a new frontend, which is now hosted in a separate repository: [ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend). This repository now hosts the compiled JS (from TS/Vue) under the `web/` directory.
+
+### Reporting Issues and Requesting Features
+
+For any bugs, issues, or feature requests related to the frontend, please use the [ComfyUI Frontend repository](https://github.com/Comfy-Org/ComfyUI_frontend). This will help us manage and address frontend-specific concerns more efficiently.
+
+### Using the Latest Frontend
+
+The new frontend is now the default for ComfyUI. However, please note:
+
+1. The frontend in the main ComfyUI repository is updated weekly.
+2. Daily releases are available in the separate frontend repository.
+
+To use the most up-to-date frontend version:
+
+1. For the latest daily release, launch ComfyUI with this command line argument:
+
+   ```
+   --front-end-version Comfy-Org/ComfyUI_frontend@latest
+   ```
+
+2. For a specific version, replace `latest` with the desired version number:
+
+   ```
+   --front-end-version Comfy-Org/ComfyUI_frontend@1.2.2
+   ```
+
+This approach allows you to easily switch between the stable weekly release and the cutting-edge daily updates, or even specific versions for testing purposes.
+
+### Accessing the Legacy Frontend
+
+If you need to use the legacy frontend for any reason, you can access it using the following command line argument:
+
+```
+--front-end-version Comfy-Org/ComfyUI_legacy_frontend@latest
+```
+
+This will use a snapshot of the legacy frontend preserved in the [ComfyUI Legacy Frontend repository](https://github.com/Comfy-Org/ComfyUI_legacy_frontend).
+
+# QA
+
+### Which GPU should I buy for this?
+
+[See this page for some recommendations](https://github.com/comfyanonymous/ComfyUI/wiki/Which-GPU-should-I-buy-for-ComfyUI)
+
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index 0000000000000000000000000000000000000000..35330c36f83962385b4afe4653c5967f2bdb73c1
--- /dev/null
+++ b/ComfyUI/api_server/routes/internal/README.md
@@ -0,0 +1,3 @@
+# ComfyUI Internal Routes
+
+All routes under the `/internal` path are designated for **internal use by ComfyUI only**. These routes are not intended for use by external applications may change at any time without notice.
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--- /dev/null
+++ b/ComfyUI/api_server/routes/internal/internal_routes.py
@@ -0,0 +1,44 @@
+from aiohttp import web
+from typing import Optional
+from folder_paths import models_dir, user_directory, output_directory
+from api_server.services.file_service import FileService
+import app.logger
+
+class InternalRoutes:
+    '''
+    The top level web router for internal routes: /internal/*
+    The endpoints here should NOT be depended upon. It is for ComfyUI frontend use only.
+    Check README.md for more information.
+    
+    '''
+    def __init__(self):
+        self.routes: web.RouteTableDef = web.RouteTableDef()
+        self._app: Optional[web.Application] = None
+        self.file_service = FileService({
+            "models": models_dir,
+            "user": user_directory,
+            "output": output_directory
+        })
+
+    def setup_routes(self):
+        @self.routes.get('/files')
+        async def list_files(request):
+            directory_key = request.query.get('directory', '')
+            try:
+                file_list = self.file_service.list_files(directory_key)
+                return web.json_response({"files": file_list})
+            except ValueError as e:
+                return web.json_response({"error": str(e)}, status=400)
+            except Exception as e:
+                return web.json_response({"error": str(e)}, status=500)
+
+        @self.routes.get('/logs')
+        async def get_logs(request):
+            return web.json_response(app.logger.get_logs())
+
+    def get_app(self):
+        if self._app is None:
+            self._app = web.Application()
+            self.setup_routes()
+            self._app.add_routes(self.routes)
+        return self._app
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--- /dev/null
+++ b/ComfyUI/api_server/services/file_service.py
@@ -0,0 +1,13 @@
+from typing import Dict, List, Optional
+from api_server.utils.file_operations import FileSystemOperations, FileSystemItem
+
+class FileService:
+    def __init__(self, allowed_directories: Dict[str, str], file_system_ops: Optional[FileSystemOperations] = None):
+        self.allowed_directories: Dict[str, str] = allowed_directories
+        self.file_system_ops: FileSystemOperations = file_system_ops or FileSystemOperations()
+
+    def list_files(self, directory_key: str) -> List[FileSystemItem]:
+        if directory_key not in self.allowed_directories:
+            raise ValueError("Invalid directory key")
+        directory_path: str = self.allowed_directories[directory_key]
+        return self.file_system_ops.walk_directory(directory_path)
\ No newline at end of file
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diff --git a/ComfyUI/api_server/utils/file_operations.py b/ComfyUI/api_server/utils/file_operations.py
new file mode 100644
index 0000000000000000000000000000000000000000..ef1bf999e52871ad2d338cde8bdb8b48d4747b00
--- /dev/null
+++ b/ComfyUI/api_server/utils/file_operations.py
@@ -0,0 +1,42 @@
+import os
+from typing import List, Union, TypedDict, Literal
+from typing_extensions import TypeGuard
+class FileInfo(TypedDict):
+    name: str
+    path: str
+    type: Literal["file"]
+    size: int
+
+class DirectoryInfo(TypedDict):
+    name: str
+    path: str
+    type: Literal["directory"]
+
+FileSystemItem = Union[FileInfo, DirectoryInfo]
+
+def is_file_info(item: FileSystemItem) -> TypeGuard[FileInfo]:
+    return item["type"] == "file"
+
+class FileSystemOperations:
+    @staticmethod
+    def walk_directory(directory: str) -> List[FileSystemItem]:
+        file_list: List[FileSystemItem] = []
+        for root, dirs, files in os.walk(directory):
+            for name in files:
+                file_path = os.path.join(root, name)
+                relative_path = os.path.relpath(file_path, directory)
+                file_list.append({
+                    "name": name,
+                    "path": relative_path,
+                    "type": "file",
+                    "size": os.path.getsize(file_path)
+                })
+            for name in dirs:
+                dir_path = os.path.join(root, name)
+                relative_path = os.path.relpath(dir_path, directory)
+                file_list.append({
+                    "name": name,
+                    "path": relative_path,
+                    "type": "directory"
+                })
+        return file_list
\ No newline at end of file
diff --git a/ComfyUI/app/__init__.py b/ComfyUI/app/__init__.py
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diff --git a/ComfyUI/app/app_settings.py b/ComfyUI/app/app_settings.py
new file mode 100644
index 0000000000000000000000000000000000000000..8c6edc56c1d68cca481e7c78487454e278f6b326
--- /dev/null
+++ b/ComfyUI/app/app_settings.py
@@ -0,0 +1,54 @@
+import os
+import json
+from aiohttp import web
+
+
+class AppSettings():
+    def __init__(self, user_manager):
+        self.user_manager = user_manager
+
+    def get_settings(self, request):
+        file = self.user_manager.get_request_user_filepath(
+            request, "comfy.settings.json")
+        if os.path.isfile(file):
+            with open(file) as f:
+                return json.load(f)
+        else:
+            return {}
+
+    def save_settings(self, request, settings):
+        file = self.user_manager.get_request_user_filepath(
+            request, "comfy.settings.json")
+        with open(file, "w") as f:
+            f.write(json.dumps(settings, indent=4))
+
+    def add_routes(self, routes):
+        @routes.get("/settings")
+        async def get_settings(request):
+            return web.json_response(self.get_settings(request))
+
+        @routes.get("/settings/{id}")
+        async def get_setting(request):
+            value = None
+            settings = self.get_settings(request)
+            setting_id = request.match_info.get("id", None)
+            if setting_id and setting_id in settings:
+                value = settings[setting_id]
+            return web.json_response(value)
+
+        @routes.post("/settings")
+        async def post_settings(request):
+            settings = self.get_settings(request)
+            new_settings = await request.json()
+            self.save_settings(request, {**settings, **new_settings})
+            return web.Response(status=200)
+
+        @routes.post("/settings/{id}")
+        async def post_setting(request):
+            setting_id = request.match_info.get("id", None)
+            if not setting_id:
+                return web.Response(status=400)
+            settings = self.get_settings(request)
+            settings[setting_id] = await request.json()
+            self.save_settings(request, settings)
+            return web.Response(status=200)
\ No newline at end of file
diff --git a/ComfyUI/app/frontend_management.py b/ComfyUI/app/frontend_management.py
new file mode 100644
index 0000000000000000000000000000000000000000..9c832e46d0df458e053e18741f573c4a894531c6
--- /dev/null
+++ b/ComfyUI/app/frontend_management.py
@@ -0,0 +1,195 @@
+from __future__ import annotations
+import argparse
+import logging
+import os
+import re
+import tempfile
+import zipfile
+from dataclasses import dataclass
+from functools import cached_property
+from pathlib import Path
+from typing import TypedDict, Optional
+
+import requests
+from typing_extensions import NotRequired
+from comfy.cli_args import DEFAULT_VERSION_STRING
+
+
+REQUEST_TIMEOUT = 10  # seconds
+
+
+class Asset(TypedDict):
+    url: str
+
+
+class Release(TypedDict):
+    id: int
+    tag_name: str
+    name: str
+    prerelease: bool
+    created_at: str
+    published_at: str
+    body: str
+    assets: NotRequired[list[Asset]]
+
+
+@dataclass
+class FrontEndProvider:
+    owner: str
+    repo: str
+
+    @property
+    def folder_name(self) -> str:
+        return f"{self.owner}_{self.repo}"
+
+    @property
+    def release_url(self) -> str:
+        return f"https://api.github.com/repos/{self.owner}/{self.repo}/releases"
+
+    @cached_property
+    def all_releases(self) -> list[Release]:
+        releases = []
+        api_url = self.release_url
+        while api_url:
+            response = requests.get(api_url, timeout=REQUEST_TIMEOUT)
+            response.raise_for_status()  # Raises an HTTPError if the response was an error
+            releases.extend(response.json())
+            # GitHub uses the Link header to provide pagination links. Check if it exists and update api_url accordingly.
+            if "next" in response.links:
+                api_url = response.links["next"]["url"]
+            else:
+                api_url = None
+        return releases
+
+    @cached_property
+    def latest_release(self) -> Release:
+        latest_release_url = f"{self.release_url}/latest"
+        response = requests.get(latest_release_url, timeout=REQUEST_TIMEOUT)
+        response.raise_for_status()  # Raises an HTTPError if the response was an error
+        return response.json()
+
+    def get_release(self, version: str) -> Release:
+        if version == "latest":
+            return self.latest_release
+        else:
+            for release in self.all_releases:
+                if release["tag_name"] in [version, f"v{version}"]:
+                    return release
+            raise ValueError(f"Version {version} not found in releases")
+
+
+def download_release_asset_zip(release: Release, destination_path: str) -> None:
+    """Download dist.zip from github release."""
+    asset_url = None
+    for asset in release.get("assets", []):
+        if asset["name"] == "dist.zip":
+            asset_url = asset["url"]
+            break
+
+    if not asset_url:
+        raise ValueError("dist.zip not found in the release assets")
+
+    # Use a temporary file to download the zip content
+    with tempfile.TemporaryFile() as tmp_file:
+        headers = {"Accept": "application/octet-stream"}
+        response = requests.get(
+            asset_url, headers=headers, allow_redirects=True, timeout=REQUEST_TIMEOUT
+        )
+        response.raise_for_status()  # Ensure we got a successful response
+
+        # Write the content to the temporary file
+        tmp_file.write(response.content)
+
+        # Go back to the beginning of the temporary file
+        tmp_file.seek(0)
+
+        # Extract the zip file content to the destination path
+        with zipfile.ZipFile(tmp_file, "r") as zip_ref:
+            zip_ref.extractall(destination_path)
+
+
+class FrontendManager:
+    DEFAULT_FRONTEND_PATH = str(Path(__file__).parents[1] / "web")
+    CUSTOM_FRONTENDS_ROOT = str(Path(__file__).parents[1] / "web_custom_versions")
+
+    @classmethod
+    def parse_version_string(cls, value: str) -> tuple[str, str, str]:
+        """
+        Args:
+            value (str): The version string to parse.
+
+        Returns:
+            tuple[str, str]: A tuple containing provider name and version.
+
+        Raises:
+            argparse.ArgumentTypeError: If the version string is invalid.
+        """
+        VERSION_PATTERN = r"^([a-zA-Z0-9][a-zA-Z0-9-]{0,38})/([a-zA-Z0-9_.-]+)@(v?\d+\.\d+\.\d+|latest)$"
+        match_result = re.match(VERSION_PATTERN, value)
+        if match_result is None:
+            raise argparse.ArgumentTypeError(f"Invalid version string: {value}")
+
+        return match_result.group(1), match_result.group(2), match_result.group(3)
+
+    @classmethod
+    def init_frontend_unsafe(cls, version_string: str, provider: Optional[FrontEndProvider] = None) -> str:
+        """
+        Initializes the frontend for the specified version.
+
+        Args:
+            version_string (str): The version string.
+            provider (FrontEndProvider, optional): The provider to use. Defaults to None.
+
+        Returns:
+            str: The path to the initialized frontend.
+
+        Raises:
+            Exception: If there is an error during the initialization process.
+            main error source might be request timeout or invalid URL.
+        """
+        if version_string == DEFAULT_VERSION_STRING:
+            return cls.DEFAULT_FRONTEND_PATH
+
+        repo_owner, repo_name, version = cls.parse_version_string(version_string)
+        provider = provider or FrontEndProvider(repo_owner, repo_name)
+        release = provider.get_release(version)
+
+        semantic_version = release["tag_name"].lstrip("v")
+        web_root = str(
+            Path(cls.CUSTOM_FRONTENDS_ROOT) / provider.folder_name / semantic_version
+        )
+        if not os.path.exists(web_root):
+            try:
+                os.makedirs(web_root, exist_ok=True)
+                logging.info(
+                    "Downloading frontend(%s) version(%s) to (%s)",
+                    provider.folder_name,
+                    semantic_version,
+                    web_root,
+                )
+                logging.debug(release)
+                download_release_asset_zip(release, destination_path=web_root)
+            finally:
+                # Clean up the directory if it is empty, i.e. the download failed
+                if not os.listdir(web_root):
+                    os.rmdir(web_root)
+
+        return web_root
+
+    @classmethod
+    def init_frontend(cls, version_string: str) -> str:
+        """
+        Initializes the frontend with the specified version string.
+
+        Args:
+            version_string (str): The version string to initialize the frontend with.
+
+        Returns:
+            str: The path of the initialized frontend.
+        """
+        try:
+            return cls.init_frontend_unsafe(version_string)
+        except Exception as e:
+            logging.error("Failed to initialize frontend: %s", e)
+            logging.info("Falling back to the default frontend.")
+            return cls.DEFAULT_FRONTEND_PATH
diff --git a/ComfyUI/app/logger.py b/ComfyUI/app/logger.py
new file mode 100644
index 0000000000000000000000000000000000000000..17662c9e7945feee6eafdd4864182d36212582ef
--- /dev/null
+++ b/ComfyUI/app/logger.py
@@ -0,0 +1,31 @@
+import logging
+from logging.handlers import MemoryHandler
+from collections import deque
+
+logs = None
+formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
+
+
+def get_logs():
+    return "\n".join([formatter.format(x) for x in logs])
+
+
+def setup_logger(verbose: bool = False, capacity: int = 300):
+    global logs
+    if logs:
+        return
+
+    # Setup default global logger
+    logger = logging.getLogger()
+    logger.setLevel(logging.DEBUG if verbose else logging.INFO)
+
+    stream_handler = logging.StreamHandler()
+    stream_handler.setFormatter(logging.Formatter("%(message)s"))
+    logger.addHandler(stream_handler)
+
+    # Create a memory handler with a deque as its buffer
+    logs = deque(maxlen=capacity)
+    memory_handler = MemoryHandler(capacity, flushLevel=logging.INFO)
+    memory_handler.buffer = logs
+    memory_handler.setFormatter(formatter)
+    logger.addHandler(memory_handler)
diff --git a/ComfyUI/app/user_manager.py b/ComfyUI/app/user_manager.py
new file mode 100644
index 0000000000000000000000000000000000000000..53dff18b73ce21241aeeb180dd73da9de95d0d61
--- /dev/null
+++ b/ComfyUI/app/user_manager.py
@@ -0,0 +1,205 @@
+import json
+import os
+import re
+import uuid
+import glob
+import shutil
+from aiohttp import web
+from comfy.cli_args import args
+from folder_paths import user_directory
+from .app_settings import AppSettings
+
+default_user = "default"
+users_file = os.path.join(user_directory, "users.json")
+
+
+class UserManager():
+    def __init__(self):
+        global user_directory
+
+        self.settings = AppSettings(self)
+        if not os.path.exists(user_directory):
+            os.mkdir(user_directory)
+            if not args.multi_user:
+                print("****** User settings have been changed to be stored on the server instead of browser storage. ******")
+                print("****** For multi-user setups add the --multi-user CLI argument to enable multiple user profiles. ******")
+
+        if args.multi_user:
+            if os.path.isfile(users_file):
+                with open(users_file) as f:
+                    self.users = json.load(f)
+            else:
+                self.users = {}
+        else:
+            self.users = {"default": "default"}
+
+    def get_request_user_id(self, request):
+        user = "default"
+        if args.multi_user and "comfy-user" in request.headers:
+            user = request.headers["comfy-user"]
+
+        if user not in self.users:
+            raise KeyError("Unknown user: " + user)
+
+        return user
+
+    def get_request_user_filepath(self, request, file, type="userdata", create_dir=True):
+        global user_directory
+
+        if type == "userdata":
+            root_dir = user_directory
+        else:
+            raise KeyError("Unknown filepath type:" + type)
+
+        user = self.get_request_user_id(request)
+        path = user_root = os.path.abspath(os.path.join(root_dir, user))
+
+        # prevent leaving /{type}
+        if os.path.commonpath((root_dir, user_root)) != root_dir:
+            return None
+
+        if file is not None:
+            # prevent leaving /{type}/{user}
+            path = os.path.abspath(os.path.join(user_root, file))
+            if os.path.commonpath((user_root, path)) != user_root:
+                return None
+
+        parent = os.path.split(path)[0]
+
+        if create_dir and not os.path.exists(parent):
+            os.makedirs(parent, exist_ok=True)
+
+        return path
+
+    def add_user(self, name):
+        name = name.strip()
+        if not name:
+            raise ValueError("username not provided")
+        user_id = re.sub("[^a-zA-Z0-9-_]+", '-', name)
+        user_id = user_id + "_" + str(uuid.uuid4())
+
+        self.users[user_id] = name
+
+        global users_file
+        with open(users_file, "w") as f:
+            json.dump(self.users, f)
+
+        return user_id
+
+    def add_routes(self, routes):
+        self.settings.add_routes(routes)
+
+        @routes.get("/users")
+        async def get_users(request):
+            if args.multi_user:
+                return web.json_response({"storage": "server", "users": self.users})
+            else:
+                user_dir = self.get_request_user_filepath(request, None, create_dir=False)
+                return web.json_response({
+                    "storage": "server",
+                    "migrated": os.path.exists(user_dir)
+                })
+
+        @routes.post("/users")
+        async def post_users(request):
+            body = await request.json()
+            username = body["username"]
+            if username in self.users.values():
+                return web.json_response({"error": "Duplicate username."}, status=400)
+
+            user_id = self.add_user(username)
+            return web.json_response(user_id)
+
+        @routes.get("/userdata")
+        async def listuserdata(request):
+            directory = request.rel_url.query.get('dir', '')
+            if not directory:
+                return web.Response(status=400)
+                
+            path = self.get_request_user_filepath(request, directory)
+            if not path:
+                return web.Response(status=403)
+            
+            if not os.path.exists(path):
+                return web.Response(status=404)
+            
+            recurse = request.rel_url.query.get('recurse', '').lower() == "true"
+            results = glob.glob(os.path.join(
+                glob.escape(path), '**/*'), recursive=recurse)
+            results = [os.path.relpath(x, path) for x in results if os.path.isfile(x)]
+            
+            split_path = request.rel_url.query.get('split', '').lower() == "true"
+            if split_path:
+                results = [[x] + x.split(os.sep) for x in results]
+
+            return web.json_response(results)
+
+        def get_user_data_path(request, check_exists = False, param = "file"):
+            file = request.match_info.get(param, None)
+            if not file:
+                return web.Response(status=400)
+                
+            path = self.get_request_user_filepath(request, file)
+            if not path:
+                return web.Response(status=403)
+            
+            if check_exists and not os.path.exists(path):
+                return web.Response(status=404)
+            
+            return path
+
+        @routes.get("/userdata/{file}")
+        async def getuserdata(request):
+            path = get_user_data_path(request, check_exists=True)
+            if not isinstance(path, str):
+                return path
+            
+            return web.FileResponse(path)
+
+        @routes.post("/userdata/{file}")
+        async def post_userdata(request):
+            path = get_user_data_path(request)
+            if not isinstance(path, str):
+                return path
+            
+            overwrite = request.query["overwrite"] != "false"
+            if not overwrite and os.path.exists(path):
+                return web.Response(status=409)
+
+            body = await request.read()
+
+            with open(path, "wb") as f:
+                f.write(body)
+                
+            resp = os.path.relpath(path, self.get_request_user_filepath(request, None))
+            return web.json_response(resp)
+
+        @routes.delete("/userdata/{file}")
+        async def delete_userdata(request):
+            path = get_user_data_path(request, check_exists=True)
+            if not isinstance(path, str):
+                return path
+
+            os.remove(path)
+                
+            return web.Response(status=204)
+
+        @routes.post("/userdata/{file}/move/{dest}")
+        async def move_userdata(request):
+            source = get_user_data_path(request, check_exists=True)
+            if not isinstance(source, str):
+                return source
+            
+            dest = get_user_data_path(request, check_exists=False, param="dest")
+            if not isinstance(source, str):
+                return dest
+            
+            overwrite = request.query["overwrite"] != "false"
+            if not overwrite and os.path.exists(dest):
+                return web.Response(status=409)
+
+            print(f"moving '{source}' -> '{dest}'")
+            shutil.move(source, dest)
+                
+            resp = os.path.relpath(dest, self.get_request_user_filepath(request, None))
+            return web.json_response(resp)
diff --git a/ComfyUI/comfy/__pycache__/checkpoint_pickle.cpython-310.pyc b/ComfyUI/comfy/__pycache__/checkpoint_pickle.cpython-310.pyc
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--- /dev/null
+++ b/ComfyUI/comfy/checkpoint_pickle.py
@@ -0,0 +1,13 @@
+import pickle
+
+load = pickle.load
+
+class Empty:
+    pass
+
+class Unpickler(pickle.Unpickler):
+    def find_class(self, module, name):
+        #TODO: safe unpickle
+        if module.startswith("pytorch_lightning"):
+            return Empty
+        return super().find_class(module, name)
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diff --git a/ComfyUI/comfy/cldm/cldm.py b/ComfyUI/comfy/cldm/cldm.py
new file mode 100644
index 0000000000000000000000000000000000000000..9ec64a22751d10718af7483c3370e0dc4ce578a7
--- /dev/null
+++ b/ComfyUI/comfy/cldm/cldm.py
@@ -0,0 +1,437 @@
+#taken from: https://github.com/lllyasviel/ControlNet
+#and modified
+
+import torch
+import torch as th
+import torch.nn as nn
+
+from ..ldm.modules.diffusionmodules.util import (
+    zero_module,
+    timestep_embedding,
+)
+
+from ..ldm.modules.attention import SpatialTransformer
+from ..ldm.modules.diffusionmodules.openaimodel import UNetModel, TimestepEmbedSequential, ResBlock, Downsample
+from ..ldm.util import exists
+from .control_types import UNION_CONTROLNET_TYPES
+from collections import OrderedDict
+import comfy.ops
+from comfy.ldm.modules.attention import optimized_attention
+
+class OptimizedAttention(nn.Module):
+    def __init__(self, c, nhead, dropout=0.0, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.heads = nhead
+        self.c = c
+
+        self.in_proj = operations.Linear(c, c * 3, bias=True, dtype=dtype, device=device)
+        self.out_proj = operations.Linear(c, c, bias=True, dtype=dtype, device=device)
+
+    def forward(self, x):
+        x = self.in_proj(x)
+        q, k, v = x.split(self.c, dim=2)
+        out = optimized_attention(q, k, v, self.heads)
+        return self.out_proj(out)
+
+class QuickGELU(nn.Module):
+    def forward(self, x: torch.Tensor):
+        return x * torch.sigmoid(1.702 * x)
+
+class ResBlockUnionControlnet(nn.Module):
+    def __init__(self, dim, nhead, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.attn = OptimizedAttention(dim, nhead, dtype=dtype, device=device, operations=operations)
+        self.ln_1 = operations.LayerNorm(dim, dtype=dtype, device=device)
+        self.mlp = nn.Sequential(
+            OrderedDict([("c_fc", operations.Linear(dim, dim * 4, dtype=dtype, device=device)), ("gelu", QuickGELU()),
+                         ("c_proj", operations.Linear(dim * 4, dim, dtype=dtype, device=device))]))
+        self.ln_2 = operations.LayerNorm(dim, dtype=dtype, device=device)
+
+    def attention(self, x: torch.Tensor):
+        return self.attn(x)
+
+    def forward(self, x: torch.Tensor):
+        x = x + self.attention(self.ln_1(x))
+        x = x + self.mlp(self.ln_2(x))
+        return x
+
+class ControlledUnetModel(UNetModel):
+    #implemented in the ldm unet
+    pass
+
+class ControlNet(nn.Module):
+    def __init__(
+        self,
+        image_size,
+        in_channels,
+        model_channels,
+        hint_channels,
+        num_res_blocks,
+        dropout=0,
+        channel_mult=(1, 2, 4, 8),
+        conv_resample=True,
+        dims=2,
+        num_classes=None,
+        use_checkpoint=False,
+        dtype=torch.float32,
+        num_heads=-1,
+        num_head_channels=-1,
+        num_heads_upsample=-1,
+        use_scale_shift_norm=False,
+        resblock_updown=False,
+        use_new_attention_order=False,
+        use_spatial_transformer=False,    # custom transformer support
+        transformer_depth=1,              # custom transformer support
+        context_dim=None,                 # custom transformer support
+        n_embed=None,                     # custom support for prediction of discrete ids into codebook of first stage vq model
+        legacy=True,
+        disable_self_attentions=None,
+        num_attention_blocks=None,
+        disable_middle_self_attn=False,
+        use_linear_in_transformer=False,
+        adm_in_channels=None,
+        transformer_depth_middle=None,
+        transformer_depth_output=None,
+        attn_precision=None,
+        union_controlnet_num_control_type=None,
+        device=None,
+        operations=comfy.ops.disable_weight_init,
+        **kwargs,
+    ):
+        super().__init__()
+        assert use_spatial_transformer == True, "use_spatial_transformer has to be true"
+        if use_spatial_transformer:
+            assert context_dim is not None, 'Fool!! You forgot to include the dimension of your cross-attention conditioning...'
+
+        if context_dim is not None:
+            assert use_spatial_transformer, 'Fool!! You forgot to use the spatial transformer for your cross-attention conditioning...'
+            # from omegaconf.listconfig import ListConfig
+            # if type(context_dim) == ListConfig:
+            #     context_dim = list(context_dim)
+
+        if num_heads_upsample == -1:
+            num_heads_upsample = num_heads
+
+        if num_heads == -1:
+            assert num_head_channels != -1, 'Either num_heads or num_head_channels has to be set'
+
+        if num_head_channels == -1:
+            assert num_heads != -1, 'Either num_heads or num_head_channels has to be set'
+
+        self.dims = dims
+        self.image_size = image_size
+        self.in_channels = in_channels
+        self.model_channels = model_channels
+
+        if isinstance(num_res_blocks, int):
+            self.num_res_blocks = len(channel_mult) * [num_res_blocks]
+        else:
+            if len(num_res_blocks) != len(channel_mult):
+                raise ValueError("provide num_res_blocks either as an int (globally constant) or "
+                                 "as a list/tuple (per-level) with the same length as channel_mult")
+            self.num_res_blocks = num_res_blocks
+
+        if disable_self_attentions is not None:
+            # should be a list of booleans, indicating whether to disable self-attention in TransformerBlocks or not
+            assert len(disable_self_attentions) == len(channel_mult)
+        if num_attention_blocks is not None:
+            assert len(num_attention_blocks) == len(self.num_res_blocks)
+            assert all(map(lambda i: self.num_res_blocks[i] >= num_attention_blocks[i], range(len(num_attention_blocks))))
+
+        transformer_depth = transformer_depth[:]
+
+        self.dropout = dropout
+        self.channel_mult = channel_mult
+        self.conv_resample = conv_resample
+        self.num_classes = num_classes
+        self.use_checkpoint = use_checkpoint
+        self.dtype = dtype
+        self.num_heads = num_heads
+        self.num_head_channels = num_head_channels
+        self.num_heads_upsample = num_heads_upsample
+        self.predict_codebook_ids = n_embed is not None
+
+        time_embed_dim = model_channels * 4
+        self.time_embed = nn.Sequential(
+            operations.Linear(model_channels, time_embed_dim, dtype=self.dtype, device=device),
+            nn.SiLU(),
+            operations.Linear(time_embed_dim, time_embed_dim, dtype=self.dtype, device=device),
+        )
+
+        if self.num_classes is not None:
+            if isinstance(self.num_classes, int):
+                self.label_emb = nn.Embedding(num_classes, time_embed_dim)
+            elif self.num_classes == "continuous":
+                print("setting up linear c_adm embedding layer")
+                self.label_emb = nn.Linear(1, time_embed_dim)
+            elif self.num_classes == "sequential":
+                assert adm_in_channels is not None
+                self.label_emb = nn.Sequential(
+                    nn.Sequential(
+                        operations.Linear(adm_in_channels, time_embed_dim, dtype=self.dtype, device=device),
+                        nn.SiLU(),
+                        operations.Linear(time_embed_dim, time_embed_dim, dtype=self.dtype, device=device),
+                    )
+                )
+            else:
+                raise ValueError()
+
+        self.input_blocks = nn.ModuleList(
+            [
+                TimestepEmbedSequential(
+                    operations.conv_nd(dims, in_channels, model_channels, 3, padding=1, dtype=self.dtype, device=device)
+                )
+            ]
+        )
+        self.zero_convs = nn.ModuleList([self.make_zero_conv(model_channels, operations=operations, dtype=self.dtype, device=device)])
+
+        self.input_hint_block = TimestepEmbedSequential(
+                    operations.conv_nd(dims, hint_channels, 16, 3, padding=1, dtype=self.dtype, device=device),
+                    nn.SiLU(),
+                    operations.conv_nd(dims, 16, 16, 3, padding=1, dtype=self.dtype, device=device),
+                    nn.SiLU(),
+                    operations.conv_nd(dims, 16, 32, 3, padding=1, stride=2, dtype=self.dtype, device=device),
+                    nn.SiLU(),
+                    operations.conv_nd(dims, 32, 32, 3, padding=1, dtype=self.dtype, device=device),
+                    nn.SiLU(),
+                    operations.conv_nd(dims, 32, 96, 3, padding=1, stride=2, dtype=self.dtype, device=device),
+                    nn.SiLU(),
+                    operations.conv_nd(dims, 96, 96, 3, padding=1, dtype=self.dtype, device=device),
+                    nn.SiLU(),
+                    operations.conv_nd(dims, 96, 256, 3, padding=1, stride=2, dtype=self.dtype, device=device),
+                    nn.SiLU(),
+                    operations.conv_nd(dims, 256, model_channels, 3, padding=1, dtype=self.dtype, device=device)
+        )
+
+        self._feature_size = model_channels
+        input_block_chans = [model_channels]
+        ch = model_channels
+        ds = 1
+        for level, mult in enumerate(channel_mult):
+            for nr in range(self.num_res_blocks[level]):
+                layers = [
+                    ResBlock(
+                        ch,
+                        time_embed_dim,
+                        dropout,
+                        out_channels=mult * model_channels,
+                        dims=dims,
+                        use_checkpoint=use_checkpoint,
+                        use_scale_shift_norm=use_scale_shift_norm,
+                        dtype=self.dtype,
+                        device=device,
+                        operations=operations,
+                    )
+                ]
+                ch = mult * model_channels
+                num_transformers = transformer_depth.pop(0)
+                if num_transformers > 0:
+                    if num_head_channels == -1:
+                        dim_head = ch // num_heads
+                    else:
+                        num_heads = ch // num_head_channels
+                        dim_head = num_head_channels
+                    if legacy:
+                        #num_heads = 1
+                        dim_head = ch // num_heads if use_spatial_transformer else num_head_channels
+                    if exists(disable_self_attentions):
+                        disabled_sa = disable_self_attentions[level]
+                    else:
+                        disabled_sa = False
+
+                    if not exists(num_attention_blocks) or nr < num_attention_blocks[level]:
+                        layers.append(
+                            SpatialTransformer(
+                                ch, num_heads, dim_head, depth=num_transformers, context_dim=context_dim,
+                                disable_self_attn=disabled_sa, use_linear=use_linear_in_transformer,
+                                use_checkpoint=use_checkpoint, attn_precision=attn_precision, dtype=self.dtype, device=device, operations=operations
+                            )
+                        )
+                self.input_blocks.append(TimestepEmbedSequential(*layers))
+                self.zero_convs.append(self.make_zero_conv(ch, operations=operations, dtype=self.dtype, device=device))
+                self._feature_size += ch
+                input_block_chans.append(ch)
+            if level != len(channel_mult) - 1:
+                out_ch = ch
+                self.input_blocks.append(
+                    TimestepEmbedSequential(
+                        ResBlock(
+                            ch,
+                            time_embed_dim,
+                            dropout,
+                            out_channels=out_ch,
+                            dims=dims,
+                            use_checkpoint=use_checkpoint,
+                            use_scale_shift_norm=use_scale_shift_norm,
+                            down=True,
+                            dtype=self.dtype,
+                            device=device,
+                            operations=operations
+                        )
+                        if resblock_updown
+                        else Downsample(
+                            ch, conv_resample, dims=dims, out_channels=out_ch, dtype=self.dtype, device=device, operations=operations
+                        )
+                    )
+                )
+                ch = out_ch
+                input_block_chans.append(ch)
+                self.zero_convs.append(self.make_zero_conv(ch, operations=operations, dtype=self.dtype, device=device))
+                ds *= 2
+                self._feature_size += ch
+
+        if num_head_channels == -1:
+            dim_head = ch // num_heads
+        else:
+            num_heads = ch // num_head_channels
+            dim_head = num_head_channels
+        if legacy:
+            #num_heads = 1
+            dim_head = ch // num_heads if use_spatial_transformer else num_head_channels
+        mid_block = [
+            ResBlock(
+                ch,
+                time_embed_dim,
+                dropout,
+                dims=dims,
+                use_checkpoint=use_checkpoint,
+                use_scale_shift_norm=use_scale_shift_norm,
+                dtype=self.dtype,
+                device=device,
+                operations=operations
+            )]
+        if transformer_depth_middle >= 0:
+            mid_block += [SpatialTransformer(  # always uses a self-attn
+                            ch, num_heads, dim_head, depth=transformer_depth_middle, context_dim=context_dim,
+                            disable_self_attn=disable_middle_self_attn, use_linear=use_linear_in_transformer,
+                            use_checkpoint=use_checkpoint, attn_precision=attn_precision, dtype=self.dtype, device=device, operations=operations
+                        ),
+            ResBlock(
+                ch,
+                time_embed_dim,
+                dropout,
+                dims=dims,
+                use_checkpoint=use_checkpoint,
+                use_scale_shift_norm=use_scale_shift_norm,
+                dtype=self.dtype,
+                device=device,
+                operations=operations
+            )]
+        self.middle_block = TimestepEmbedSequential(*mid_block)
+        self.middle_block_out = self.make_zero_conv(ch, operations=operations, dtype=self.dtype, device=device)
+        self._feature_size += ch
+
+        if union_controlnet_num_control_type is not None:
+            self.num_control_type = union_controlnet_num_control_type
+            num_trans_channel = 320
+            num_trans_head = 8
+            num_trans_layer = 1
+            num_proj_channel = 320
+            # task_scale_factor = num_trans_channel ** 0.5
+            self.task_embedding = nn.Parameter(torch.empty(self.num_control_type, num_trans_channel, dtype=self.dtype, device=device))
+
+            self.transformer_layes = nn.Sequential(*[ResBlockUnionControlnet(num_trans_channel, num_trans_head, dtype=self.dtype, device=device, operations=operations) for _ in range(num_trans_layer)])
+            self.spatial_ch_projs = operations.Linear(num_trans_channel, num_proj_channel, dtype=self.dtype, device=device)
+            #-----------------------------------------------------------------------------------------------------
+
+            control_add_embed_dim = 256
+            class ControlAddEmbedding(nn.Module):
+                def __init__(self, in_dim, out_dim, num_control_type, dtype=None, device=None, operations=None):
+                    super().__init__()
+                    self.num_control_type = num_control_type
+                    self.in_dim = in_dim
+                    self.linear_1 = operations.Linear(in_dim * num_control_type, out_dim, dtype=dtype, device=device)
+                    self.linear_2 = operations.Linear(out_dim, out_dim, dtype=dtype, device=device)
+                def forward(self, control_type, dtype, device):
+                    c_type = torch.zeros((self.num_control_type,), device=device)
+                    c_type[control_type] = 1.0
+                    c_type = timestep_embedding(c_type.flatten(), self.in_dim, repeat_only=False).to(dtype).reshape((-1, self.num_control_type * self.in_dim))
+                    return self.linear_2(torch.nn.functional.silu(self.linear_1(c_type)))
+
+            self.control_add_embedding = ControlAddEmbedding(control_add_embed_dim, time_embed_dim, self.num_control_type, dtype=self.dtype, device=device, operations=operations)
+        else:
+            self.task_embedding = None
+            self.control_add_embedding = None
+
+    def union_controlnet_merge(self, hint, control_type, emb, context):
+        # Equivalent to: https://github.com/xinsir6/ControlNetPlus/tree/main
+        inputs = []
+        condition_list = []
+
+        for idx in range(min(1, len(control_type))):
+            controlnet_cond = self.input_hint_block(hint[idx], emb, context)
+            feat_seq = torch.mean(controlnet_cond, dim=(2, 3))
+            if idx < len(control_type):
+                feat_seq += self.task_embedding[control_type[idx]].to(dtype=feat_seq.dtype, device=feat_seq.device)
+
+            inputs.append(feat_seq.unsqueeze(1))
+            condition_list.append(controlnet_cond)
+
+        x = torch.cat(inputs, dim=1)
+        x = self.transformer_layes(x)
+        controlnet_cond_fuser = None
+        for idx in range(len(control_type)):
+            alpha = self.spatial_ch_projs(x[:, idx])
+            alpha = alpha.unsqueeze(-1).unsqueeze(-1)
+            o = condition_list[idx] + alpha
+            if controlnet_cond_fuser is None:
+                controlnet_cond_fuser = o
+            else:
+                controlnet_cond_fuser += o
+        return controlnet_cond_fuser
+
+    def make_zero_conv(self, channels, operations=None, dtype=None, device=None):
+        return TimestepEmbedSequential(operations.conv_nd(self.dims, channels, channels, 1, padding=0, dtype=dtype, device=device))
+
+    def forward(self, x, hint, timesteps, context, y=None, **kwargs):
+        t_emb = timestep_embedding(timesteps, self.model_channels, repeat_only=False).to(x.dtype)
+        emb = self.time_embed(t_emb)
+
+        guided_hint = None
+        if self.control_add_embedding is not None: #Union Controlnet
+            control_type = kwargs.get("control_type", [])
+
+            if any([c >= self.num_control_type for c in control_type]):
+                max_type = max(control_type)
+                max_type_name = {
+                    v: k for k, v in UNION_CONTROLNET_TYPES.items()
+                }[max_type]
+                raise ValueError(
+                    f"Control type {max_type_name}({max_type}) is out of range for the number of control types" +
+                    f"({self.num_control_type}) supported.\n" +
+                    "Please consider using the ProMax ControlNet Union model.\n" +
+                    "https://huggingface.co/xinsir/controlnet-union-sdxl-1.0/tree/main"
+                )
+
+            emb += self.control_add_embedding(control_type, emb.dtype, emb.device)
+            if len(control_type) > 0:
+                if len(hint.shape) < 5:
+                    hint = hint.unsqueeze(dim=0)
+                guided_hint = self.union_controlnet_merge(hint, control_type, emb, context)
+
+        if guided_hint is None:
+            guided_hint = self.input_hint_block(hint, emb, context)
+
+        out_output = []
+        out_middle = []
+
+        hs = []
+        if self.num_classes is not None:
+            assert y.shape[0] == x.shape[0]
+            emb = emb + self.label_emb(y)
+
+        h = x
+        for module, zero_conv in zip(self.input_blocks, self.zero_convs):
+            if guided_hint is not None:
+                h = module(h, emb, context)
+                h += guided_hint
+                guided_hint = None
+            else:
+                h = module(h, emb, context)
+            out_output.append(zero_conv(h, emb, context))
+
+        h = self.middle_block(h, emb, context)
+        out_middle.append(self.middle_block_out(h, emb, context))
+
+        return {"middle": out_middle, "output": out_output}
+
diff --git a/ComfyUI/comfy/cldm/control_types.py b/ComfyUI/comfy/cldm/control_types.py
new file mode 100644
index 0000000000000000000000000000000000000000..4128631a305a13d65c3c37ced17179d23fbbdcff
--- /dev/null
+++ b/ComfyUI/comfy/cldm/control_types.py
@@ -0,0 +1,10 @@
+UNION_CONTROLNET_TYPES = {
+    "openpose": 0,
+    "depth": 1,
+    "hed/pidi/scribble/ted": 2,
+    "canny/lineart/anime_lineart/mlsd": 3,
+    "normal": 4,
+    "segment": 5,
+    "tile": 6,
+    "repaint": 7,
+}
diff --git a/ComfyUI/comfy/cldm/mmdit.py b/ComfyUI/comfy/cldm/mmdit.py
new file mode 100644
index 0000000000000000000000000000000000000000..025c2fb5dff3c07ddef8d2a3848d6fff99585f07
--- /dev/null
+++ b/ComfyUI/comfy/cldm/mmdit.py
@@ -0,0 +1,77 @@
+import torch
+from typing import Dict, Optional
+import comfy.ldm.modules.diffusionmodules.mmdit
+
+class ControlNet(comfy.ldm.modules.diffusionmodules.mmdit.MMDiT):
+    def __init__(
+        self,
+        num_blocks = None,
+        dtype = None,
+        device = None,
+        operations = None,
+        **kwargs,
+    ):
+        super().__init__(dtype=dtype, device=device, operations=operations, final_layer=False, num_blocks=num_blocks, **kwargs)
+        # controlnet_blocks
+        self.controlnet_blocks = torch.nn.ModuleList([])
+        for _ in range(len(self.joint_blocks)):
+            self.controlnet_blocks.append(operations.Linear(self.hidden_size, self.hidden_size, device=device, dtype=dtype))
+
+        self.pos_embed_input = comfy.ldm.modules.diffusionmodules.mmdit.PatchEmbed(
+            None,
+            self.patch_size,
+            self.in_channels,
+            self.hidden_size,
+            bias=True,
+            strict_img_size=False,
+            dtype=dtype,
+            device=device,
+            operations=operations
+        )
+
+    def forward(
+        self,
+        x: torch.Tensor,
+        timesteps: torch.Tensor,
+        y: Optional[torch.Tensor] = None,
+        context: Optional[torch.Tensor] = None,
+        hint = None,
+    ) -> torch.Tensor:
+
+        #weird sd3 controlnet specific stuff
+        y = torch.zeros_like(y)
+
+        if self.context_processor is not None:
+            context = self.context_processor(context)
+
+        hw = x.shape[-2:]
+        x = self.x_embedder(x) + self.cropped_pos_embed(hw, device=x.device).to(dtype=x.dtype, device=x.device)
+        x += self.pos_embed_input(hint)
+
+        c = self.t_embedder(timesteps, dtype=x.dtype)
+        if y is not None and self.y_embedder is not None:
+            y = self.y_embedder(y)
+            c = c + y
+
+        if context is not None:
+            context = self.context_embedder(context)
+
+        output = []
+
+        blocks = len(self.joint_blocks)
+        for i in range(blocks):
+            context, x = self.joint_blocks[i](
+                context,
+                x,
+                c=c,
+                use_checkpoint=self.use_checkpoint,
+            )
+
+            out = self.controlnet_blocks[i](x)
+            count = self.depth // blocks
+            if i == blocks - 1:
+                count -= 1
+            for j in range(count):
+                output.append(out)
+
+        return {"output": output}
diff --git a/ComfyUI/comfy/cli_args.py b/ComfyUI/comfy/cli_args.py
new file mode 100644
index 0000000000000000000000000000000000000000..3a0a26d071caef8b3b6b97efba5af176b3cc5adc
--- /dev/null
+++ b/ComfyUI/comfy/cli_args.py
@@ -0,0 +1,181 @@
+import argparse
+import enum
+import os
+from typing import Optional
+import comfy.options
+
+
+class EnumAction(argparse.Action):
+    """
+    Argparse action for handling Enums
+    """
+    def __init__(self, **kwargs):
+        # Pop off the type value
+        enum_type = kwargs.pop("type", None)
+
+        # Ensure an Enum subclass is provided
+        if enum_type is None:
+            raise ValueError("type must be assigned an Enum when using EnumAction")
+        if not issubclass(enum_type, enum.Enum):
+            raise TypeError("type must be an Enum when using EnumAction")
+
+        # Generate choices from the Enum
+        choices = tuple(e.value for e in enum_type)
+        kwargs.setdefault("choices", choices)
+        kwargs.setdefault("metavar", f"[{','.join(list(choices))}]")
+
+        super(EnumAction, self).__init__(**kwargs)
+
+        self._enum = enum_type
+
+    def __call__(self, parser, namespace, values, option_string=None):
+        # Convert value back into an Enum
+        value = self._enum(values)
+        setattr(namespace, self.dest, value)
+
+
+parser = argparse.ArgumentParser()
+
+parser.add_argument("--listen", type=str, default="127.0.0.1", metavar="IP", nargs="?", const="0.0.0.0", help="Specify the IP address to listen on (default: 127.0.0.1). If --listen is provided without an argument, it defaults to 0.0.0.0. (listens on all)")
+parser.add_argument("--port", type=int, default=8188, help="Set the listen port.")
+parser.add_argument("--tls-keyfile", type=str, help="Path to TLS (SSL) key file. Enables TLS, makes app accessible at https://... requires --tls-certfile to function")
+parser.add_argument("--tls-certfile", type=str, help="Path to TLS (SSL) certificate file. Enables TLS, makes app accessible at https://... requires --tls-keyfile to function")
+parser.add_argument("--enable-cors-header", type=str, default=None, metavar="ORIGIN", nargs="?", const="*", help="Enable CORS (Cross-Origin Resource Sharing) with optional origin or allow all with default '*'.")
+parser.add_argument("--max-upload-size", type=float, default=100, help="Set the maximum upload size in MB.")
+
+parser.add_argument("--extra-model-paths-config", type=str, default=None, metavar="PATH", nargs='+', action='append', help="Load one or more extra_model_paths.yaml files.")
+parser.add_argument("--output-directory", type=str, default=None, help="Set the ComfyUI output directory.")
+parser.add_argument("--temp-directory", type=str, default=None, help="Set the ComfyUI temp directory (default is in the ComfyUI directory).")
+parser.add_argument("--input-directory", type=str, default=None, help="Set the ComfyUI input directory.")
+parser.add_argument("--auto-launch", action="store_true", help="Automatically launch ComfyUI in the default browser.")
+parser.add_argument("--disable-auto-launch", action="store_true", help="Disable auto launching the browser.")
+parser.add_argument("--cuda-device", type=int, default=None, metavar="DEVICE_ID", help="Set the id of the cuda device this instance will use.")
+cm_group = parser.add_mutually_exclusive_group()
+cm_group.add_argument("--cuda-malloc", action="store_true", help="Enable cudaMallocAsync (enabled by default for torch 2.0 and up).")
+cm_group.add_argument("--disable-cuda-malloc", action="store_true", help="Disable cudaMallocAsync.")
+
+
+fp_group = parser.add_mutually_exclusive_group()
+fp_group.add_argument("--force-fp32", action="store_true", help="Force fp32 (If this makes your GPU work better please report it).")
+fp_group.add_argument("--force-fp16", action="store_true", help="Force fp16.")
+
+fpunet_group = parser.add_mutually_exclusive_group()
+fpunet_group.add_argument("--bf16-unet", action="store_true", help="Run the UNET in bf16. This should only be used for testing stuff.")
+fpunet_group.add_argument("--fp16-unet", action="store_true", help="Store unet weights in fp16.")
+fpunet_group.add_argument("--fp8_e4m3fn-unet", action="store_true", help="Store unet weights in fp8_e4m3fn.")
+fpunet_group.add_argument("--fp8_e5m2-unet", action="store_true", help="Store unet weights in fp8_e5m2.")
+
+fpvae_group = parser.add_mutually_exclusive_group()
+fpvae_group.add_argument("--fp16-vae", action="store_true", help="Run the VAE in fp16, might cause black images.")
+fpvae_group.add_argument("--fp32-vae", action="store_true", help="Run the VAE in full precision fp32.")
+fpvae_group.add_argument("--bf16-vae", action="store_true", help="Run the VAE in bf16.")
+
+parser.add_argument("--cpu-vae", action="store_true", help="Run the VAE on the CPU.")
+
+fpte_group = parser.add_mutually_exclusive_group()
+fpte_group.add_argument("--fp8_e4m3fn-text-enc", action="store_true", help="Store text encoder weights in fp8 (e4m3fn variant).")
+fpte_group.add_argument("--fp8_e5m2-text-enc", action="store_true", help="Store text encoder weights in fp8 (e5m2 variant).")
+fpte_group.add_argument("--fp16-text-enc", action="store_true", help="Store text encoder weights in fp16.")
+fpte_group.add_argument("--fp32-text-enc", action="store_true", help="Store text encoder weights in fp32.")
+
+parser.add_argument("--force-channels-last", action="store_true", help="Force channels last format when inferencing the models.")
+
+parser.add_argument("--directml", type=int, nargs="?", metavar="DIRECTML_DEVICE", const=-1, help="Use torch-directml.")
+
+parser.add_argument("--disable-ipex-optimize", action="store_true", help="Disables ipex.optimize when loading models with Intel GPUs.")
+
+class LatentPreviewMethod(enum.Enum):
+    NoPreviews = "none"
+    Auto = "auto"
+    Latent2RGB = "latent2rgb"
+    TAESD = "taesd"
+
+parser.add_argument("--preview-method", type=LatentPreviewMethod, default=LatentPreviewMethod.NoPreviews, help="Default preview method for sampler nodes.", action=EnumAction)
+
+cache_group = parser.add_mutually_exclusive_group()
+cache_group.add_argument("--cache-classic", action="store_true", help="Use the old style (aggressive) caching.")
+cache_group.add_argument("--cache-lru", type=int, default=0, help="Use LRU caching with a maximum of N node results cached. May use more RAM/VRAM.")
+
+attn_group = parser.add_mutually_exclusive_group()
+attn_group.add_argument("--use-split-cross-attention", action="store_true", help="Use the split cross attention optimization. Ignored when xformers is used.")
+attn_group.add_argument("--use-quad-cross-attention", action="store_true", help="Use the sub-quadratic cross attention optimization . Ignored when xformers is used.")
+attn_group.add_argument("--use-pytorch-cross-attention", action="store_true", help="Use the new pytorch 2.0 cross attention function.")
+
+parser.add_argument("--disable-xformers", action="store_true", help="Disable xformers.")
+
+upcast = parser.add_mutually_exclusive_group()
+upcast.add_argument("--force-upcast-attention", action="store_true", help="Force enable attention upcasting, please report if it fixes black images.")
+upcast.add_argument("--dont-upcast-attention", action="store_true", help="Disable all upcasting of attention. Should be unnecessary except for debugging.")
+
+
+vram_group = parser.add_mutually_exclusive_group()
+vram_group.add_argument("--gpu-only", action="store_true", help="Store and run everything (text encoders/CLIP models, etc... on the GPU).")
+vram_group.add_argument("--highvram", action="store_true", help="By default models will be unloaded to CPU memory after being used. This option keeps them in GPU memory.")
+vram_group.add_argument("--normalvram", action="store_true", help="Used to force normal vram use if lowvram gets automatically enabled.")
+vram_group.add_argument("--lowvram", action="store_true", help="Split the unet in parts to use less vram.")
+vram_group.add_argument("--novram", action="store_true", help="When lowvram isn't enough.")
+vram_group.add_argument("--cpu", action="store_true", help="To use the CPU for everything (slow).")
+
+parser.add_argument("--reserve-vram", type=float, default=None, help="Set the amount of vram in GB you want to reserve for use by your OS/other software. By default some amount is reverved depending on your OS.")
+
+
+parser.add_argument("--default-hashing-function", type=str, choices=['md5', 'sha1', 'sha256', 'sha512'], default='sha256', help="Allows you to choose the hash function to use for duplicate filename / contents comparison. Default is sha256.")
+
+parser.add_argument("--disable-smart-memory", action="store_true", help="Force ComfyUI to agressively offload to regular ram instead of keeping models in vram when it can.")
+parser.add_argument("--deterministic", action="store_true", help="Make pytorch use slower deterministic algorithms when it can. Note that this might not make images deterministic in all cases.")
+parser.add_argument("--fast", action="store_true", help="Enable some untested and potentially quality deteriorating optimizations.")
+
+parser.add_argument("--dont-print-server", action="store_true", help="Don't print server output.")
+parser.add_argument("--quick-test-for-ci", action="store_true", help="Quick test for CI.")
+parser.add_argument("--windows-standalone-build", action="store_true", help="Windows standalone build: Enable convenient things that most people using the standalone windows build will probably enjoy (like auto opening the page on startup).")
+
+parser.add_argument("--disable-metadata", action="store_true", help="Disable saving prompt metadata in files.")
+parser.add_argument("--disable-all-custom-nodes", action="store_true", help="Disable loading all custom nodes.")
+
+parser.add_argument("--multi-user", action="store_true", help="Enables per-user storage.")
+
+parser.add_argument("--verbose", action="store_true", help="Enables more debug prints.")
+
+# The default built-in provider hosted under web/
+DEFAULT_VERSION_STRING = "comfyanonymous/ComfyUI@latest"
+
+parser.add_argument(
+    "--front-end-version",
+    type=str,
+    default=DEFAULT_VERSION_STRING,
+    help="""
+    Specifies the version of the frontend to be used. This command needs internet connectivity to query and
+    download available frontend implementations from GitHub releases.
+
+    The version string should be in the format of:
+    [repoOwner]/[repoName]@[version]
+    where version is one of: "latest" or a valid version number (e.g. "1.0.0")
+    """,
+)
+
+def is_valid_directory(path: Optional[str]) -> Optional[str]:
+    """Validate if the given path is a directory."""
+    if path is None:
+        return None
+
+    if not os.path.isdir(path):
+        raise argparse.ArgumentTypeError(f"{path} is not a valid directory.")
+    return path
+
+parser.add_argument(
+    "--front-end-root",
+    type=is_valid_directory,
+    default=None,
+    help="The local filesystem path to the directory where the frontend is located. Overrides --front-end-version.",
+)
+
+if comfy.options.args_parsing:
+    args = parser.parse_args()
+else:
+    args = parser.parse_args([])
+
+if args.windows_standalone_build:
+    args.auto_launch = True
+
+if args.disable_auto_launch:
+    args.auto_launch = False
diff --git a/ComfyUI/comfy/clip_config_bigg.json b/ComfyUI/comfy/clip_config_bigg.json
new file mode 100644
index 0000000000000000000000000000000000000000..35261deef14a68fcc6c5b1fc32914b5c102781a9
--- /dev/null
+++ b/ComfyUI/comfy/clip_config_bigg.json
@@ -0,0 +1,23 @@
+{
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 49407,
+  "hidden_act": "gelu",
+  "hidden_size": 1280,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 32,
+  "pad_token_id": 1,
+  "projection_dim": 1280,
+  "torch_dtype": "float32",
+  "vocab_size": 49408
+}
diff --git a/ComfyUI/comfy/clip_model.py b/ComfyUI/comfy/clip_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..42cdc4f6e7d84663c67c23805da432bf8727be42
--- /dev/null
+++ b/ComfyUI/comfy/clip_model.py
@@ -0,0 +1,196 @@
+import torch
+from comfy.ldm.modules.attention import optimized_attention_for_device
+import comfy.ops
+
+class CLIPAttention(torch.nn.Module):
+    def __init__(self, embed_dim, heads, dtype, device, operations):
+        super().__init__()
+
+        self.heads = heads
+        self.q_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+        self.k_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+        self.v_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+
+        self.out_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+
+    def forward(self, x, mask=None, optimized_attention=None):
+        q = self.q_proj(x)
+        k = self.k_proj(x)
+        v = self.v_proj(x)
+
+        out = optimized_attention(q, k, v, self.heads, mask)
+        return self.out_proj(out)
+
+ACTIVATIONS = {"quick_gelu": lambda a: a * torch.sigmoid(1.702 * a),
+               "gelu": torch.nn.functional.gelu,
+}
+
+class CLIPMLP(torch.nn.Module):
+    def __init__(self, embed_dim, intermediate_size, activation, dtype, device, operations):
+        super().__init__()
+        self.fc1 = operations.Linear(embed_dim, intermediate_size, bias=True, dtype=dtype, device=device)
+        self.activation = ACTIVATIONS[activation]
+        self.fc2 = operations.Linear(intermediate_size, embed_dim, bias=True, dtype=dtype, device=device)
+
+    def forward(self, x):
+        x = self.fc1(x)
+        x = self.activation(x)
+        x = self.fc2(x)
+        return x
+
+class CLIPLayer(torch.nn.Module):
+    def __init__(self, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations):
+        super().__init__()
+        self.layer_norm1 = operations.LayerNorm(embed_dim, dtype=dtype, device=device)
+        self.self_attn = CLIPAttention(embed_dim, heads, dtype, device, operations)
+        self.layer_norm2 = operations.LayerNorm(embed_dim, dtype=dtype, device=device)
+        self.mlp = CLIPMLP(embed_dim, intermediate_size, intermediate_activation, dtype, device, operations)
+
+    def forward(self, x, mask=None, optimized_attention=None):
+        x += self.self_attn(self.layer_norm1(x), mask, optimized_attention)
+        x += self.mlp(self.layer_norm2(x))
+        return x
+
+
+class CLIPEncoder(torch.nn.Module):
+    def __init__(self, num_layers, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations):
+        super().__init__()
+        self.layers = torch.nn.ModuleList([CLIPLayer(embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations) for i in range(num_layers)])
+
+    def forward(self, x, mask=None, intermediate_output=None):
+        optimized_attention = optimized_attention_for_device(x.device, mask=mask is not None, small_input=True)
+
+        if intermediate_output is not None:
+            if intermediate_output < 0:
+                intermediate_output = len(self.layers) + intermediate_output
+
+        intermediate = None
+        for i, l in enumerate(self.layers):
+            x = l(x, mask, optimized_attention)
+            if i == intermediate_output:
+                intermediate = x.clone()
+        return x, intermediate
+
+class CLIPEmbeddings(torch.nn.Module):
+    def __init__(self, embed_dim, vocab_size=49408, num_positions=77, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.token_embedding = operations.Embedding(vocab_size, embed_dim, dtype=dtype, device=device)
+        self.position_embedding = operations.Embedding(num_positions, embed_dim, dtype=dtype, device=device)
+
+    def forward(self, input_tokens, dtype=torch.float32):
+        return self.token_embedding(input_tokens, out_dtype=dtype) + comfy.ops.cast_to(self.position_embedding.weight, dtype=dtype, device=input_tokens.device)
+
+
+class CLIPTextModel_(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        num_layers = config_dict["num_hidden_layers"]
+        embed_dim = config_dict["hidden_size"]
+        heads = config_dict["num_attention_heads"]
+        intermediate_size = config_dict["intermediate_size"]
+        intermediate_activation = config_dict["hidden_act"]
+        num_positions = config_dict["max_position_embeddings"]
+        self.eos_token_id = config_dict["eos_token_id"]
+
+        super().__init__()
+        self.embeddings = CLIPEmbeddings(embed_dim, num_positions=num_positions, dtype=dtype, device=device, operations=operations)
+        self.encoder = CLIPEncoder(num_layers, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations)
+        self.final_layer_norm = operations.LayerNorm(embed_dim, dtype=dtype, device=device)
+
+    def forward(self, input_tokens, attention_mask=None, intermediate_output=None, final_layer_norm_intermediate=True, dtype=torch.float32):
+        x = self.embeddings(input_tokens, dtype=dtype)
+        mask = None
+        if attention_mask is not None:
+            mask = 1.0 - attention_mask.to(x.dtype).reshape((attention_mask.shape[0], 1, -1, attention_mask.shape[-1])).expand(attention_mask.shape[0], 1, attention_mask.shape[-1], attention_mask.shape[-1])
+            mask = mask.masked_fill(mask.to(torch.bool), float("-inf"))
+
+        causal_mask = torch.empty(x.shape[1], x.shape[1], dtype=x.dtype, device=x.device).fill_(float("-inf")).triu_(1)
+        if mask is not None:
+            mask += causal_mask
+        else:
+            mask = causal_mask
+
+        x, i = self.encoder(x, mask=mask, intermediate_output=intermediate_output)
+        x = self.final_layer_norm(x)
+        if i is not None and final_layer_norm_intermediate:
+            i = self.final_layer_norm(i)
+
+        pooled_output = x[torch.arange(x.shape[0], device=x.device), (torch.round(input_tokens).to(dtype=torch.int, device=x.device) == self.eos_token_id).int().argmax(dim=-1),]
+        return x, i, pooled_output
+
+class CLIPTextModel(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        super().__init__()
+        self.num_layers = config_dict["num_hidden_layers"]
+        self.text_model = CLIPTextModel_(config_dict, dtype, device, operations)
+        embed_dim = config_dict["hidden_size"]
+        self.text_projection = operations.Linear(embed_dim, embed_dim, bias=False, dtype=dtype, device=device)
+        self.dtype = dtype
+
+    def get_input_embeddings(self):
+        return self.text_model.embeddings.token_embedding
+
+    def set_input_embeddings(self, embeddings):
+        self.text_model.embeddings.token_embedding = embeddings
+
+    def forward(self, *args, **kwargs):
+        x = self.text_model(*args, **kwargs)
+        out = self.text_projection(x[2])
+        return (x[0], x[1], out, x[2])
+
+
+class CLIPVisionEmbeddings(torch.nn.Module):
+    def __init__(self, embed_dim, num_channels=3, patch_size=14, image_size=224, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.class_embedding = torch.nn.Parameter(torch.empty(embed_dim, dtype=dtype, device=device))
+
+        self.patch_embedding = operations.Conv2d(
+            in_channels=num_channels,
+            out_channels=embed_dim,
+            kernel_size=patch_size,
+            stride=patch_size,
+            bias=False,
+            dtype=dtype,
+            device=device
+        )
+
+        num_patches = (image_size // patch_size) ** 2
+        num_positions = num_patches + 1
+        self.position_embedding = operations.Embedding(num_positions, embed_dim, dtype=dtype, device=device)
+
+    def forward(self, pixel_values):
+        embeds = self.patch_embedding(pixel_values).flatten(2).transpose(1, 2)
+        return torch.cat([comfy.ops.cast_to_input(self.class_embedding, embeds).expand(pixel_values.shape[0], 1, -1), embeds], dim=1) + comfy.ops.cast_to_input(self.position_embedding.weight, embeds)
+
+
+class CLIPVision(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        super().__init__()
+        num_layers = config_dict["num_hidden_layers"]
+        embed_dim = config_dict["hidden_size"]
+        heads = config_dict["num_attention_heads"]
+        intermediate_size = config_dict["intermediate_size"]
+        intermediate_activation = config_dict["hidden_act"]
+
+        self.embeddings = CLIPVisionEmbeddings(embed_dim, config_dict["num_channels"], config_dict["patch_size"], config_dict["image_size"], dtype=dtype, device=device, operations=operations)
+        self.pre_layrnorm = operations.LayerNorm(embed_dim)
+        self.encoder = CLIPEncoder(num_layers, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations)
+        self.post_layernorm = operations.LayerNorm(embed_dim)
+
+    def forward(self, pixel_values, attention_mask=None, intermediate_output=None):
+        x = self.embeddings(pixel_values)
+        x = self.pre_layrnorm(x)
+        #TODO: attention_mask?
+        x, i = self.encoder(x, mask=None, intermediate_output=intermediate_output)
+        pooled_output = self.post_layernorm(x[:, 0, :])
+        return x, i, pooled_output
+
+class CLIPVisionModelProjection(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        super().__init__()
+        self.vision_model = CLIPVision(config_dict, dtype, device, operations)
+        self.visual_projection = operations.Linear(config_dict["hidden_size"], config_dict["projection_dim"], bias=False)
+
+    def forward(self, *args, **kwargs):
+        x = self.vision_model(*args, **kwargs)
+        out = self.visual_projection(x[2])
+        return (x[0], x[1], out)
diff --git a/ComfyUI/comfy/clip_vision.py b/ComfyUI/comfy/clip_vision.py
new file mode 100644
index 0000000000000000000000000000000000000000..20dc3345d0fe8df70285f99d34332117794bb5d9
--- /dev/null
+++ b/ComfyUI/comfy/clip_vision.py
@@ -0,0 +1,121 @@
+from .utils import load_torch_file, transformers_convert, state_dict_prefix_replace
+import os
+import torch
+import json
+import logging
+
+import comfy.ops
+import comfy.model_patcher
+import comfy.model_management
+import comfy.utils
+import comfy.clip_model
+
+class Output:
+    def __getitem__(self, key):
+        return getattr(self, key)
+    def __setitem__(self, key, item):
+        setattr(self, key, item)
+
+def clip_preprocess(image, size=224):
+    mean = torch.tensor([ 0.48145466,0.4578275,0.40821073], device=image.device, dtype=image.dtype)
+    std = torch.tensor([0.26862954,0.26130258,0.27577711], device=image.device, dtype=image.dtype)
+    image = image.movedim(-1, 1)
+    if not (image.shape[2] == size and image.shape[3] == size):
+        scale = (size / min(image.shape[2], image.shape[3]))
+        image = torch.nn.functional.interpolate(image, size=(round(scale * image.shape[2]), round(scale * image.shape[3])), mode="bicubic", antialias=True)
+        h = (image.shape[2] - size)//2
+        w = (image.shape[3] - size)//2
+        image = image[:,:,h:h+size,w:w+size]
+    image = torch.clip((255. * image), 0, 255).round() / 255.0
+    return (image - mean.view([3,1,1])) / std.view([3,1,1])
+
+class ClipVisionModel():
+    def __init__(self, json_config):
+        with open(json_config) as f:
+            config = json.load(f)
+
+        self.image_size = config.get("image_size", 224)
+        self.load_device = comfy.model_management.text_encoder_device()
+        offload_device = comfy.model_management.text_encoder_offload_device()
+        self.dtype = comfy.model_management.text_encoder_dtype(self.load_device)
+        self.model = comfy.clip_model.CLIPVisionModelProjection(config, self.dtype, offload_device, comfy.ops.manual_cast)
+        self.model.eval()
+
+        self.patcher = comfy.model_patcher.ModelPatcher(self.model, load_device=self.load_device, offload_device=offload_device)
+
+    def load_sd(self, sd):
+        return self.model.load_state_dict(sd, strict=False)
+
+    def get_sd(self):
+        return self.model.state_dict()
+
+    def encode_image(self, image):
+        comfy.model_management.load_model_gpu(self.patcher)
+        pixel_values = clip_preprocess(image.to(self.load_device), size=self.image_size).float()
+        out = self.model(pixel_values=pixel_values, intermediate_output=-2)
+
+        outputs = Output()
+        outputs["last_hidden_state"] = out[0].to(comfy.model_management.intermediate_device())
+        outputs["image_embeds"] = out[2].to(comfy.model_management.intermediate_device())
+        outputs["penultimate_hidden_states"] = out[1].to(comfy.model_management.intermediate_device())
+        return outputs
+
+def convert_to_transformers(sd, prefix):
+    sd_k = sd.keys()
+    if "{}transformer.resblocks.0.attn.in_proj_weight".format(prefix) in sd_k:
+        keys_to_replace = {
+            "{}class_embedding".format(prefix): "vision_model.embeddings.class_embedding",
+            "{}conv1.weight".format(prefix): "vision_model.embeddings.patch_embedding.weight",
+            "{}positional_embedding".format(prefix): "vision_model.embeddings.position_embedding.weight",
+            "{}ln_post.bias".format(prefix): "vision_model.post_layernorm.bias",
+            "{}ln_post.weight".format(prefix): "vision_model.post_layernorm.weight",
+            "{}ln_pre.bias".format(prefix): "vision_model.pre_layrnorm.bias",
+            "{}ln_pre.weight".format(prefix): "vision_model.pre_layrnorm.weight",
+        }
+
+        for x in keys_to_replace:
+            if x in sd_k:
+                sd[keys_to_replace[x]] = sd.pop(x)
+
+        if "{}proj".format(prefix) in sd_k:
+            sd['visual_projection.weight'] = sd.pop("{}proj".format(prefix)).transpose(0, 1)
+
+        sd = transformers_convert(sd, prefix, "vision_model.", 48)
+    else:
+        replace_prefix = {prefix: ""}
+        sd = state_dict_prefix_replace(sd, replace_prefix)
+    return sd
+
+def load_clipvision_from_sd(sd, prefix="", convert_keys=False):
+    if convert_keys:
+        sd = convert_to_transformers(sd, prefix)
+    if "vision_model.encoder.layers.47.layer_norm1.weight" in sd:
+        json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_g.json")
+    elif "vision_model.encoder.layers.30.layer_norm1.weight" in sd:
+        json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_h.json")
+    elif "vision_model.encoder.layers.22.layer_norm1.weight" in sd:
+        if sd["vision_model.embeddings.position_embedding.weight"].shape[0] == 577:
+            json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_vitl_336.json")
+        else:
+            json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_vitl.json")
+    else:
+        return None
+
+    clip = ClipVisionModel(json_config)
+    m, u = clip.load_sd(sd)
+    if len(m) > 0:
+        logging.warning("missing clip vision: {}".format(m))
+    u = set(u)
+    keys = list(sd.keys())
+    for k in keys:
+        if k not in u:
+            t = sd.pop(k)
+            del t
+    return clip
+
+def load(ckpt_path):
+    sd = load_torch_file(ckpt_path)
+    if "visual.transformer.resblocks.0.attn.in_proj_weight" in sd:
+        return load_clipvision_from_sd(sd, prefix="visual.", convert_keys=True)
+    else:
+        return load_clipvision_from_sd(sd)
diff --git a/ComfyUI/comfy/clip_vision_config_g.json b/ComfyUI/comfy/clip_vision_config_g.json
new file mode 100644
index 0000000000000000000000000000000000000000..708e7e21ac3513a719d6a49e88e756f5ef7e2c8d
--- /dev/null
+++ b/ComfyUI/comfy/clip_vision_config_g.json
@@ -0,0 +1,18 @@
+{
+  "attention_dropout": 0.0,
+  "dropout": 0.0,
+  "hidden_act": "gelu",
+  "hidden_size": 1664,
+  "image_size": 224,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "layer_norm_eps": 1e-05,
+  "model_type": "clip_vision_model",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 48,
+  "patch_size": 14,
+  "projection_dim": 1280,
+  "torch_dtype": "float32"
+}
diff --git a/ComfyUI/comfy/clip_vision_config_h.json b/ComfyUI/comfy/clip_vision_config_h.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb71be419a4be0ad5c8c157850de032a65593cb9
--- /dev/null
+++ b/ComfyUI/comfy/clip_vision_config_h.json
@@ -0,0 +1,18 @@
+{
+  "attention_dropout": 0.0,
+  "dropout": 0.0,
+  "hidden_act": "gelu",
+  "hidden_size": 1280,
+  "image_size": 224,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "model_type": "clip_vision_model",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 32,
+  "patch_size": 14,
+  "projection_dim": 1024,
+  "torch_dtype": "float32"
+}
diff --git a/ComfyUI/comfy/clip_vision_config_vitl.json b/ComfyUI/comfy/clip_vision_config_vitl.json
new file mode 100644
index 0000000000000000000000000000000000000000..c59b8ed5a4c1f41fbcc9e6811d2c7dfe44273de7
--- /dev/null
+++ b/ComfyUI/comfy/clip_vision_config_vitl.json
@@ -0,0 +1,18 @@
+{
+  "attention_dropout": 0.0,
+  "dropout": 0.0,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 1024,
+  "image_size": 224,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "model_type": "clip_vision_model",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 14,
+  "projection_dim": 768,
+  "torch_dtype": "float32"
+}
diff --git a/ComfyUI/comfy/clip_vision_config_vitl_336.json b/ComfyUI/comfy/clip_vision_config_vitl_336.json
new file mode 100644
index 0000000000000000000000000000000000000000..f26945273d99e88f207d64dcec78feee63b4b625
--- /dev/null
+++ b/ComfyUI/comfy/clip_vision_config_vitl_336.json
@@ -0,0 +1,18 @@
+{
+  "attention_dropout": 0.0,
+  "dropout": 0.0,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 1024,
+  "image_size": 336,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-5,
+  "model_type": "clip_vision_model",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 14,
+  "projection_dim": 768,
+  "torch_dtype": "float32"
+}
diff --git a/ComfyUI/comfy/conds.py b/ComfyUI/comfy/conds.py
new file mode 100644
index 0000000000000000000000000000000000000000..660690af8425209e6cc8d8b3e17185065e269a47
--- /dev/null
+++ b/ComfyUI/comfy/conds.py
@@ -0,0 +1,83 @@
+import torch
+import math
+import comfy.utils
+
+
+def lcm(a, b): #TODO: eventually replace by math.lcm (added in python3.9)
+    return abs(a*b) // math.gcd(a, b)
+
+class CONDRegular:
+    def __init__(self, cond):
+        self.cond = cond
+
+    def _copy_with(self, cond):
+        return self.__class__(cond)
+
+    def process_cond(self, batch_size, device, **kwargs):
+        return self._copy_with(comfy.utils.repeat_to_batch_size(self.cond, batch_size).to(device))
+
+    def can_concat(self, other):
+        if self.cond.shape != other.cond.shape:
+            return False
+        return True
+
+    def concat(self, others):
+        conds = [self.cond]
+        for x in others:
+            conds.append(x.cond)
+        return torch.cat(conds)
+
+class CONDNoiseShape(CONDRegular):
+    def process_cond(self, batch_size, device, area, **kwargs):
+        data = self.cond
+        if area is not None:
+            dims = len(area) // 2
+            for i in range(dims):
+                data = data.narrow(i + 2, area[i + dims], area[i])
+
+        return self._copy_with(comfy.utils.repeat_to_batch_size(data, batch_size).to(device))
+
+
+class CONDCrossAttn(CONDRegular):
+    def can_concat(self, other):
+        s1 = self.cond.shape
+        s2 = other.cond.shape
+        if s1 != s2:
+            if s1[0] != s2[0] or s1[2] != s2[2]: #these 2 cases should not happen
+                return False
+
+            mult_min = lcm(s1[1], s2[1])
+            diff = mult_min // min(s1[1], s2[1])
+            if diff > 4: #arbitrary limit on the padding because it's probably going to impact performance negatively if it's too much
+                return False
+        return True
+
+    def concat(self, others):
+        conds = [self.cond]
+        crossattn_max_len = self.cond.shape[1]
+        for x in others:
+            c = x.cond
+            crossattn_max_len = lcm(crossattn_max_len, c.shape[1])
+            conds.append(c)
+
+        out = []
+        for c in conds:
+            if c.shape[1] < crossattn_max_len:
+                c = c.repeat(1, crossattn_max_len // c.shape[1], 1) #padding with repeat doesn't change result
+            out.append(c)
+        return torch.cat(out)
+
+class CONDConstant(CONDRegular):
+    def __init__(self, cond):
+        self.cond = cond
+
+    def process_cond(self, batch_size, device, **kwargs):
+        return self._copy_with(self.cond)
+
+    def can_concat(self, other):
+        if self.cond != other.cond:
+            return False
+        return True
+
+    def concat(self, others):
+        return self.cond
diff --git a/ComfyUI/comfy/controlnet.py b/ComfyUI/comfy/controlnet.py
new file mode 100644
index 0000000000000000000000000000000000000000..d2d2cefaae8598d734d0eec04ba52a97ec51346c
--- /dev/null
+++ b/ComfyUI/comfy/controlnet.py
@@ -0,0 +1,705 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Comfy
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+
+import torch
+from enum import Enum
+import math
+import os
+import logging
+import comfy.utils
+import comfy.model_management
+import comfy.model_detection
+import comfy.model_patcher
+import comfy.ops
+import comfy.latent_formats
+
+import comfy.cldm.cldm
+import comfy.t2i_adapter.adapter
+import comfy.ldm.cascade.controlnet
+import comfy.cldm.mmdit
+import comfy.ldm.hydit.controlnet
+import comfy.ldm.flux.controlnet
+
+
+def broadcast_image_to(tensor, target_batch_size, batched_number):
+    current_batch_size = tensor.shape[0]
+    #print(current_batch_size, target_batch_size)
+    if current_batch_size == 1:
+        return tensor
+
+    per_batch = target_batch_size // batched_number
+    tensor = tensor[:per_batch]
+
+    if per_batch > tensor.shape[0]:
+        tensor = torch.cat([tensor] * (per_batch // tensor.shape[0]) + [tensor[:(per_batch % tensor.shape[0])]], dim=0)
+
+    current_batch_size = tensor.shape[0]
+    if current_batch_size == target_batch_size:
+        return tensor
+    else:
+        return torch.cat([tensor] * batched_number, dim=0)
+
+class StrengthType(Enum):
+    CONSTANT = 1
+    LINEAR_UP = 2
+
+class ControlBase:
+    def __init__(self, device=None):
+        self.cond_hint_original = None
+        self.cond_hint = None
+        self.strength = 1.0
+        self.timestep_percent_range = (0.0, 1.0)
+        self.latent_format = None
+        self.vae = None
+        self.global_average_pooling = False
+        self.timestep_range = None
+        self.compression_ratio = 8
+        self.upscale_algorithm = 'nearest-exact'
+        self.extra_args = {}
+
+        if device is None:
+            device = comfy.model_management.get_torch_device()
+        self.device = device
+        self.previous_controlnet = None
+        self.extra_conds = []
+        self.strength_type = StrengthType.CONSTANT
+
+    def set_cond_hint(self, cond_hint, strength=1.0, timestep_percent_range=(0.0, 1.0), vae=None):
+        self.cond_hint_original = cond_hint
+        self.strength = strength
+        self.timestep_percent_range = timestep_percent_range
+        if self.latent_format is not None:
+            self.vae = vae
+        return self
+
+    def pre_run(self, model, percent_to_timestep_function):
+        self.timestep_range = (percent_to_timestep_function(self.timestep_percent_range[0]), percent_to_timestep_function(self.timestep_percent_range[1]))
+        if self.previous_controlnet is not None:
+            self.previous_controlnet.pre_run(model, percent_to_timestep_function)
+
+    def set_previous_controlnet(self, controlnet):
+        self.previous_controlnet = controlnet
+        return self
+
+    def cleanup(self):
+        if self.previous_controlnet is not None:
+            self.previous_controlnet.cleanup()
+        if self.cond_hint is not None:
+            del self.cond_hint
+            self.cond_hint = None
+        self.timestep_range = None
+
+    def get_models(self):
+        out = []
+        if self.previous_controlnet is not None:
+            out += self.previous_controlnet.get_models()
+        return out
+
+    def copy_to(self, c):
+        c.cond_hint_original = self.cond_hint_original
+        c.strength = self.strength
+        c.timestep_percent_range = self.timestep_percent_range
+        c.global_average_pooling = self.global_average_pooling
+        c.compression_ratio = self.compression_ratio
+        c.upscale_algorithm = self.upscale_algorithm
+        c.latent_format = self.latent_format
+        c.extra_args = self.extra_args.copy()
+        c.vae = self.vae
+        c.extra_conds = self.extra_conds.copy()
+        c.strength_type = self.strength_type
+
+    def inference_memory_requirements(self, dtype):
+        if self.previous_controlnet is not None:
+            return self.previous_controlnet.inference_memory_requirements(dtype)
+        return 0
+
+    def control_merge(self, control, control_prev, output_dtype):
+        out = {'input':[], 'middle':[], 'output': []}
+
+        for key in control:
+            control_output = control[key]
+            applied_to = set()
+            for i in range(len(control_output)):
+                x = control_output[i]
+                if x is not None:
+                    if self.global_average_pooling:
+                        x = torch.mean(x, dim=(2, 3), keepdim=True).repeat(1, 1, x.shape[2], x.shape[3])
+
+                    if x not in applied_to: #memory saving strategy, allow shared tensors and only apply strength to shared tensors once
+                        applied_to.add(x)
+                        if self.strength_type == StrengthType.CONSTANT:
+                            x *= self.strength
+                        elif self.strength_type == StrengthType.LINEAR_UP:
+                            x *= (self.strength ** float(len(control_output) - i))
+
+                    if output_dtype is not None and x.dtype != output_dtype:
+                        x = x.to(output_dtype)
+
+                out[key].append(x)
+
+        if control_prev is not None:
+            for x in ['input', 'middle', 'output']:
+                o = out[x]
+                for i in range(len(control_prev[x])):
+                    prev_val = control_prev[x][i]
+                    if i >= len(o):
+                        o.append(prev_val)
+                    elif prev_val is not None:
+                        if o[i] is None:
+                            o[i] = prev_val
+                        else:
+                            if o[i].shape[0] < prev_val.shape[0]:
+                                o[i] = prev_val + o[i]
+                            else:
+                                o[i] = prev_val + o[i] #TODO: change back to inplace add if shared tensors stop being an issue
+        return out
+
+    def set_extra_arg(self, argument, value=None):
+        self.extra_args[argument] = value
+
+
+class ControlNet(ControlBase):
+    def __init__(self, control_model=None, global_average_pooling=False, compression_ratio=8, latent_format=None, device=None, load_device=None, manual_cast_dtype=None, extra_conds=["y"], strength_type=StrengthType.CONSTANT):
+        super().__init__(device)
+        self.control_model = control_model
+        self.load_device = load_device
+        if control_model is not None:
+            self.control_model_wrapped = comfy.model_patcher.ModelPatcher(self.control_model, load_device=load_device, offload_device=comfy.model_management.unet_offload_device())
+
+        self.compression_ratio = compression_ratio
+        self.global_average_pooling = global_average_pooling
+        self.model_sampling_current = None
+        self.manual_cast_dtype = manual_cast_dtype
+        self.latent_format = latent_format
+        self.extra_conds += extra_conds
+        self.strength_type = strength_type
+
+    def get_control(self, x_noisy, t, cond, batched_number):
+        control_prev = None
+        if self.previous_controlnet is not None:
+            control_prev = self.previous_controlnet.get_control(x_noisy, t, cond, batched_number)
+
+        if self.timestep_range is not None:
+            if t[0] > self.timestep_range[0] or t[0] < self.timestep_range[1]:
+                if control_prev is not None:
+                    return control_prev
+                else:
+                    return None
+
+        dtype = self.control_model.dtype
+        if self.manual_cast_dtype is not None:
+            dtype = self.manual_cast_dtype
+
+        if self.cond_hint is None or x_noisy.shape[2] * self.compression_ratio != self.cond_hint.shape[2] or x_noisy.shape[3] * self.compression_ratio != self.cond_hint.shape[3]:
+            if self.cond_hint is not None:
+                del self.cond_hint
+            self.cond_hint = None
+            compression_ratio = self.compression_ratio
+            if self.vae is not None:
+                compression_ratio *= self.vae.downscale_ratio
+            self.cond_hint = comfy.utils.common_upscale(self.cond_hint_original, x_noisy.shape[3] * compression_ratio, x_noisy.shape[2] * compression_ratio, self.upscale_algorithm, "center")
+            if self.vae is not None:
+                loaded_models = comfy.model_management.loaded_models(only_currently_used=True)
+                self.cond_hint = self.vae.encode(self.cond_hint.movedim(1, -1))
+                comfy.model_management.load_models_gpu(loaded_models)
+            if self.latent_format is not None:
+                self.cond_hint = self.latent_format.process_in(self.cond_hint)
+            self.cond_hint = self.cond_hint.to(device=self.device, dtype=dtype)
+        if x_noisy.shape[0] != self.cond_hint.shape[0]:
+            self.cond_hint = broadcast_image_to(self.cond_hint, x_noisy.shape[0], batched_number)
+
+        context = cond.get('crossattn_controlnet', cond['c_crossattn'])
+        extra = self.extra_args.copy()
+        for c in self.extra_conds:
+            temp = cond.get(c, None)
+            if temp is not None:
+                extra[c] = temp.to(dtype)
+
+        timestep = self.model_sampling_current.timestep(t)
+        x_noisy = self.model_sampling_current.calculate_input(t, x_noisy)
+
+        control = self.control_model(x=x_noisy.to(dtype), hint=self.cond_hint, timesteps=timestep.to(dtype), context=context.to(dtype), **extra)
+        return self.control_merge(control, control_prev, output_dtype=None)
+
+    def copy(self):
+        c = ControlNet(None, global_average_pooling=self.global_average_pooling, load_device=self.load_device, manual_cast_dtype=self.manual_cast_dtype)
+        c.control_model = self.control_model
+        c.control_model_wrapped = self.control_model_wrapped
+        self.copy_to(c)
+        return c
+
+    def get_models(self):
+        out = super().get_models()
+        out.append(self.control_model_wrapped)
+        return out
+
+    def pre_run(self, model, percent_to_timestep_function):
+        super().pre_run(model, percent_to_timestep_function)
+        self.model_sampling_current = model.model_sampling
+
+    def cleanup(self):
+        self.model_sampling_current = None
+        super().cleanup()
+
+class ControlLoraOps:
+    class Linear(torch.nn.Module, comfy.ops.CastWeightBiasOp):
+        def __init__(self, in_features: int, out_features: int, bias: bool = True,
+                    device=None, dtype=None) -> None:
+            factory_kwargs = {'device': device, 'dtype': dtype}
+            super().__init__()
+            self.in_features = in_features
+            self.out_features = out_features
+            self.weight = None
+            self.up = None
+            self.down = None
+            self.bias = None
+
+        def forward(self, input):
+            weight, bias = comfy.ops.cast_bias_weight(self, input)
+            if self.up is not None:
+                return torch.nn.functional.linear(input, weight + (torch.mm(self.up.flatten(start_dim=1), self.down.flatten(start_dim=1))).reshape(self.weight.shape).type(input.dtype), bias)
+            else:
+                return torch.nn.functional.linear(input, weight, bias)
+
+    class Conv2d(torch.nn.Module, comfy.ops.CastWeightBiasOp):
+        def __init__(
+            self,
+            in_channels,
+            out_channels,
+            kernel_size,
+            stride=1,
+            padding=0,
+            dilation=1,
+            groups=1,
+            bias=True,
+            padding_mode='zeros',
+            device=None,
+            dtype=None
+        ):
+            super().__init__()
+            self.in_channels = in_channels
+            self.out_channels = out_channels
+            self.kernel_size = kernel_size
+            self.stride = stride
+            self.padding = padding
+            self.dilation = dilation
+            self.transposed = False
+            self.output_padding = 0
+            self.groups = groups
+            self.padding_mode = padding_mode
+
+            self.weight = None
+            self.bias = None
+            self.up = None
+            self.down = None
+
+
+        def forward(self, input):
+            weight, bias = comfy.ops.cast_bias_weight(self, input)
+            if self.up is not None:
+                return torch.nn.functional.conv2d(input, weight + (torch.mm(self.up.flatten(start_dim=1), self.down.flatten(start_dim=1))).reshape(self.weight.shape).type(input.dtype), bias, self.stride, self.padding, self.dilation, self.groups)
+            else:
+                return torch.nn.functional.conv2d(input, weight, bias, self.stride, self.padding, self.dilation, self.groups)
+
+
+class ControlLora(ControlNet):
+    def __init__(self, control_weights, global_average_pooling=False, device=None):
+        ControlBase.__init__(self, device)
+        self.control_weights = control_weights
+        self.global_average_pooling = global_average_pooling
+        self.extra_conds += ["y"]
+
+    def pre_run(self, model, percent_to_timestep_function):
+        super().pre_run(model, percent_to_timestep_function)
+        controlnet_config = model.model_config.unet_config.copy()
+        controlnet_config.pop("out_channels")
+        controlnet_config["hint_channels"] = self.control_weights["input_hint_block.0.weight"].shape[1]
+        self.manual_cast_dtype = model.manual_cast_dtype
+        dtype = model.get_dtype()
+        if self.manual_cast_dtype is None:
+            class control_lora_ops(ControlLoraOps, comfy.ops.disable_weight_init):
+                pass
+        else:
+            class control_lora_ops(ControlLoraOps, comfy.ops.manual_cast):
+                pass
+            dtype = self.manual_cast_dtype
+
+        controlnet_config["operations"] = control_lora_ops
+        controlnet_config["dtype"] = dtype
+        self.control_model = comfy.cldm.cldm.ControlNet(**controlnet_config)
+        self.control_model.to(comfy.model_management.get_torch_device())
+        diffusion_model = model.diffusion_model
+        sd = diffusion_model.state_dict()
+        cm = self.control_model.state_dict()
+
+        for k in sd:
+            weight = sd[k]
+            try:
+                comfy.utils.set_attr_param(self.control_model, k, weight)
+            except:
+                pass
+
+        for k in self.control_weights:
+            if k not in {"lora_controlnet"}:
+                comfy.utils.set_attr_param(self.control_model, k, self.control_weights[k].to(dtype).to(comfy.model_management.get_torch_device()))
+
+    def copy(self):
+        c = ControlLora(self.control_weights, global_average_pooling=self.global_average_pooling)
+        self.copy_to(c)
+        return c
+
+    def cleanup(self):
+        del self.control_model
+        self.control_model = None
+        super().cleanup()
+
+    def get_models(self):
+        out = ControlBase.get_models(self)
+        return out
+
+    def inference_memory_requirements(self, dtype):
+        return comfy.utils.calculate_parameters(self.control_weights) * comfy.model_management.dtype_size(dtype) + ControlBase.inference_memory_requirements(self, dtype)
+
+def controlnet_config(sd):
+    model_config = comfy.model_detection.model_config_from_unet(sd, "", True)
+
+    supported_inference_dtypes = model_config.supported_inference_dtypes
+
+    controlnet_config = model_config.unet_config
+    unet_dtype = comfy.model_management.unet_dtype(supported_dtypes=supported_inference_dtypes)
+    load_device = comfy.model_management.get_torch_device()
+    manual_cast_dtype = comfy.model_management.unet_manual_cast(unet_dtype, load_device)
+    if manual_cast_dtype is not None:
+        operations = comfy.ops.manual_cast
+    else:
+        operations = comfy.ops.disable_weight_init
+
+    offload_device = comfy.model_management.unet_offload_device()
+    return model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device
+
+def controlnet_load_state_dict(control_model, sd):
+    missing, unexpected = control_model.load_state_dict(sd, strict=False)
+
+    if len(missing) > 0:
+        logging.warning("missing controlnet keys: {}".format(missing))
+
+    if len(unexpected) > 0:
+        logging.debug("unexpected controlnet keys: {}".format(unexpected))
+    return control_model
+
+def load_controlnet_mmdit(sd):
+    new_sd = comfy.model_detection.convert_diffusers_mmdit(sd, "")
+    model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device = controlnet_config(new_sd)
+    num_blocks = comfy.model_detection.count_blocks(new_sd, 'joint_blocks.{}.')
+    for k in sd:
+        new_sd[k] = sd[k]
+
+    control_model = comfy.cldm.mmdit.ControlNet(num_blocks=num_blocks, operations=operations, device=offload_device, dtype=unet_dtype, **model_config.unet_config)
+    control_model = controlnet_load_state_dict(control_model, new_sd)
+
+    latent_format = comfy.latent_formats.SD3()
+    latent_format.shift_factor = 0 #SD3 controlnet weirdness
+    control = ControlNet(control_model, compression_ratio=1, latent_format=latent_format, load_device=load_device, manual_cast_dtype=manual_cast_dtype)
+    return control
+
+
+def load_controlnet_hunyuandit(controlnet_data):
+    model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device = controlnet_config(controlnet_data)
+
+    control_model = comfy.ldm.hydit.controlnet.HunYuanControlNet(operations=operations, device=offload_device, dtype=unet_dtype)
+    control_model = controlnet_load_state_dict(control_model, controlnet_data)
+
+    latent_format = comfy.latent_formats.SDXL()
+    extra_conds = ['text_embedding_mask', 'encoder_hidden_states_t5', 'text_embedding_mask_t5', 'image_meta_size', 'style', 'cos_cis_img', 'sin_cis_img']
+    control = ControlNet(control_model, compression_ratio=1, latent_format=latent_format, load_device=load_device, manual_cast_dtype=manual_cast_dtype, extra_conds=extra_conds, strength_type=StrengthType.CONSTANT)
+    return control
+
+def load_controlnet_flux_xlabs(sd):
+    model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device = controlnet_config(sd)
+    control_model = comfy.ldm.flux.controlnet.ControlNetFlux(operations=operations, device=offload_device, dtype=unet_dtype, **model_config.unet_config)
+    control_model = controlnet_load_state_dict(control_model, sd)
+    extra_conds = ['y', 'guidance']
+    control = ControlNet(control_model, load_device=load_device, manual_cast_dtype=manual_cast_dtype, extra_conds=extra_conds)
+    return control
+
+def load_controlnet_flux_instantx(sd):
+    new_sd = comfy.model_detection.convert_diffusers_mmdit(sd, "")
+    model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device = controlnet_config(new_sd)
+    for k in sd:
+        new_sd[k] = sd[k]
+
+    num_union_modes = 0
+    union_cnet = "controlnet_mode_embedder.weight"
+    if union_cnet in new_sd:
+        num_union_modes = new_sd[union_cnet].shape[0]
+
+    control_model = comfy.ldm.flux.controlnet.ControlNetFlux(latent_input=True, num_union_modes=num_union_modes, operations=operations, device=offload_device, dtype=unet_dtype, **model_config.unet_config)
+    control_model = controlnet_load_state_dict(control_model, new_sd)
+
+    latent_format = comfy.latent_formats.Flux()
+    extra_conds = ['y', 'guidance']
+    control = ControlNet(control_model, compression_ratio=1, latent_format=latent_format, load_device=load_device, manual_cast_dtype=manual_cast_dtype, extra_conds=extra_conds)
+    return control
+
+def load_controlnet(ckpt_path, model=None):
+    controlnet_data = comfy.utils.load_torch_file(ckpt_path, safe_load=True)
+    if 'after_proj_list.18.bias' in controlnet_data.keys(): #Hunyuan DiT
+        return load_controlnet_hunyuandit(controlnet_data)
+
+    if "lora_controlnet" in controlnet_data:
+        return ControlLora(controlnet_data)
+
+    controlnet_config = None
+    supported_inference_dtypes = None
+
+    if "controlnet_cond_embedding.conv_in.weight" in controlnet_data: #diffusers format
+        controlnet_config = comfy.model_detection.unet_config_from_diffusers_unet(controlnet_data)
+        diffusers_keys = comfy.utils.unet_to_diffusers(controlnet_config)
+        diffusers_keys["controlnet_mid_block.weight"] = "middle_block_out.0.weight"
+        diffusers_keys["controlnet_mid_block.bias"] = "middle_block_out.0.bias"
+
+        count = 0
+        loop = True
+        while loop:
+            suffix = [".weight", ".bias"]
+            for s in suffix:
+                k_in = "controlnet_down_blocks.{}{}".format(count, s)
+                k_out = "zero_convs.{}.0{}".format(count, s)
+                if k_in not in controlnet_data:
+                    loop = False
+                    break
+                diffusers_keys[k_in] = k_out
+            count += 1
+
+        count = 0
+        loop = True
+        while loop:
+            suffix = [".weight", ".bias"]
+            for s in suffix:
+                if count == 0:
+                    k_in = "controlnet_cond_embedding.conv_in{}".format(s)
+                else:
+                    k_in = "controlnet_cond_embedding.blocks.{}{}".format(count - 1, s)
+                k_out = "input_hint_block.{}{}".format(count * 2, s)
+                if k_in not in controlnet_data:
+                    k_in = "controlnet_cond_embedding.conv_out{}".format(s)
+                    loop = False
+                diffusers_keys[k_in] = k_out
+            count += 1
+
+        new_sd = {}
+        for k in diffusers_keys:
+            if k in controlnet_data:
+                new_sd[diffusers_keys[k]] = controlnet_data.pop(k)
+
+        if "control_add_embedding.linear_1.bias" in controlnet_data: #Union Controlnet
+            controlnet_config["union_controlnet_num_control_type"] = controlnet_data["task_embedding"].shape[0]
+            for k in list(controlnet_data.keys()):
+                new_k = k.replace('.attn.in_proj_', '.attn.in_proj.')
+                new_sd[new_k] = controlnet_data.pop(k)
+
+        leftover_keys = controlnet_data.keys()
+        if len(leftover_keys) > 0:
+            logging.warning("leftover keys: {}".format(leftover_keys))
+        controlnet_data = new_sd
+    elif "controlnet_blocks.0.weight" in controlnet_data: #SD3 diffusers format
+        if "double_blocks.0.img_attn.norm.key_norm.scale" in controlnet_data:
+            return load_controlnet_flux_xlabs(controlnet_data)
+        elif "pos_embed_input.proj.weight" in controlnet_data:
+            return load_controlnet_mmdit(controlnet_data)
+        elif "controlnet_x_embedder.weight" in controlnet_data:
+            return load_controlnet_flux_instantx(controlnet_data)
+
+    pth_key = 'control_model.zero_convs.0.0.weight'
+    pth = False
+    key = 'zero_convs.0.0.weight'
+    if pth_key in controlnet_data:
+        pth = True
+        key = pth_key
+        prefix = "control_model."
+    elif key in controlnet_data:
+        prefix = ""
+    else:
+        net = load_t2i_adapter(controlnet_data)
+        if net is None:
+            logging.error("error checkpoint does not contain controlnet or t2i adapter data {}".format(ckpt_path))
+        return net
+
+    if controlnet_config is None:
+        model_config = comfy.model_detection.model_config_from_unet(controlnet_data, prefix, True)
+        supported_inference_dtypes = model_config.supported_inference_dtypes
+        controlnet_config = model_config.unet_config
+
+    load_device = comfy.model_management.get_torch_device()
+    if supported_inference_dtypes is None:
+        unet_dtype = comfy.model_management.unet_dtype()
+    else:
+        unet_dtype = comfy.model_management.unet_dtype(supported_dtypes=supported_inference_dtypes)
+
+    manual_cast_dtype = comfy.model_management.unet_manual_cast(unet_dtype, load_device)
+    if manual_cast_dtype is not None:
+        controlnet_config["operations"] = comfy.ops.manual_cast
+    controlnet_config["dtype"] = unet_dtype
+    controlnet_config["device"] = comfy.model_management.unet_offload_device()
+    controlnet_config.pop("out_channels")
+    controlnet_config["hint_channels"] = controlnet_data["{}input_hint_block.0.weight".format(prefix)].shape[1]
+    control_model = comfy.cldm.cldm.ControlNet(**controlnet_config)
+
+    if pth:
+        if 'difference' in controlnet_data:
+            if model is not None:
+                comfy.model_management.load_models_gpu([model])
+                model_sd = model.model_state_dict()
+                for x in controlnet_data:
+                    c_m = "control_model."
+                    if x.startswith(c_m):
+                        sd_key = "diffusion_model.{}".format(x[len(c_m):])
+                        if sd_key in model_sd:
+                            cd = controlnet_data[x]
+                            cd += model_sd[sd_key].type(cd.dtype).to(cd.device)
+            else:
+                logging.warning("WARNING: Loaded a diff controlnet without a model. It will very likely not work.")
+
+        class WeightsLoader(torch.nn.Module):
+            pass
+        w = WeightsLoader()
+        w.control_model = control_model
+        missing, unexpected = w.load_state_dict(controlnet_data, strict=False)
+    else:
+        missing, unexpected = control_model.load_state_dict(controlnet_data, strict=False)
+
+    if len(missing) > 0:
+        logging.warning("missing controlnet keys: {}".format(missing))
+
+    if len(unexpected) > 0:
+        logging.debug("unexpected controlnet keys: {}".format(unexpected))
+
+    global_average_pooling = False
+    filename = os.path.splitext(ckpt_path)[0]
+    if filename.endswith("_shuffle") or filename.endswith("_shuffle_fp16"): #TODO: smarter way of enabling global_average_pooling
+        global_average_pooling = True
+
+    control = ControlNet(control_model, global_average_pooling=global_average_pooling, load_device=load_device, manual_cast_dtype=manual_cast_dtype)
+    return control
+
+class T2IAdapter(ControlBase):
+    def __init__(self, t2i_model, channels_in, compression_ratio, upscale_algorithm, device=None):
+        super().__init__(device)
+        self.t2i_model = t2i_model
+        self.channels_in = channels_in
+        self.control_input = None
+        self.compression_ratio = compression_ratio
+        self.upscale_algorithm = upscale_algorithm
+
+    def scale_image_to(self, width, height):
+        unshuffle_amount = self.t2i_model.unshuffle_amount
+        width = math.ceil(width / unshuffle_amount) * unshuffle_amount
+        height = math.ceil(height / unshuffle_amount) * unshuffle_amount
+        return width, height
+
+    def get_control(self, x_noisy, t, cond, batched_number):
+        control_prev = None
+        if self.previous_controlnet is not None:
+            control_prev = self.previous_controlnet.get_control(x_noisy, t, cond, batched_number)
+
+        if self.timestep_range is not None:
+            if t[0] > self.timestep_range[0] or t[0] < self.timestep_range[1]:
+                if control_prev is not None:
+                    return control_prev
+                else:
+                    return None
+
+        if self.cond_hint is None or x_noisy.shape[2] * self.compression_ratio != self.cond_hint.shape[2] or x_noisy.shape[3] * self.compression_ratio != self.cond_hint.shape[3]:
+            if self.cond_hint is not None:
+                del self.cond_hint
+            self.control_input = None
+            self.cond_hint = None
+            width, height = self.scale_image_to(x_noisy.shape[3] * self.compression_ratio, x_noisy.shape[2] * self.compression_ratio)
+            self.cond_hint = comfy.utils.common_upscale(self.cond_hint_original, width, height, self.upscale_algorithm, "center").float().to(self.device)
+            if self.channels_in == 1 and self.cond_hint.shape[1] > 1:
+                self.cond_hint = torch.mean(self.cond_hint, 1, keepdim=True)
+        if x_noisy.shape[0] != self.cond_hint.shape[0]:
+            self.cond_hint = broadcast_image_to(self.cond_hint, x_noisy.shape[0], batched_number)
+        if self.control_input is None:
+            self.t2i_model.to(x_noisy.dtype)
+            self.t2i_model.to(self.device)
+            self.control_input = self.t2i_model(self.cond_hint.to(x_noisy.dtype))
+            self.t2i_model.cpu()
+
+        control_input = {}
+        for k in self.control_input:
+            control_input[k] = list(map(lambda a: None if a is None else a.clone(), self.control_input[k]))
+
+        return self.control_merge(control_input, control_prev, x_noisy.dtype)
+
+    def copy(self):
+        c = T2IAdapter(self.t2i_model, self.channels_in, self.compression_ratio, self.upscale_algorithm)
+        self.copy_to(c)
+        return c
+
+def load_t2i_adapter(t2i_data):
+    compression_ratio = 8
+    upscale_algorithm = 'nearest-exact'
+
+    if 'adapter' in t2i_data:
+        t2i_data = t2i_data['adapter']
+    if 'adapter.body.0.resnets.0.block1.weight' in t2i_data: #diffusers format
+        prefix_replace = {}
+        for i in range(4):
+            for j in range(2):
+                prefix_replace["adapter.body.{}.resnets.{}.".format(i, j)] = "body.{}.".format(i * 2 + j)
+            prefix_replace["adapter.body.{}.".format(i, j)] = "body.{}.".format(i * 2)
+        prefix_replace["adapter."] = ""
+        t2i_data = comfy.utils.state_dict_prefix_replace(t2i_data, prefix_replace)
+    keys = t2i_data.keys()
+
+    if "body.0.in_conv.weight" in keys:
+        cin = t2i_data['body.0.in_conv.weight'].shape[1]
+        model_ad = comfy.t2i_adapter.adapter.Adapter_light(cin=cin, channels=[320, 640, 1280, 1280], nums_rb=4)
+    elif 'conv_in.weight' in keys:
+        cin = t2i_data['conv_in.weight'].shape[1]
+        channel = t2i_data['conv_in.weight'].shape[0]
+        ksize = t2i_data['body.0.block2.weight'].shape[2]
+        use_conv = False
+        down_opts = list(filter(lambda a: a.endswith("down_opt.op.weight"), keys))
+        if len(down_opts) > 0:
+            use_conv = True
+        xl = False
+        if cin == 256 or cin == 768:
+            xl = True
+        model_ad = comfy.t2i_adapter.adapter.Adapter(cin=cin, channels=[channel, channel*2, channel*4, channel*4][:4], nums_rb=2, ksize=ksize, sk=True, use_conv=use_conv, xl=xl)
+    elif "backbone.0.0.weight" in keys:
+        model_ad = comfy.ldm.cascade.controlnet.ControlNet(c_in=t2i_data['backbone.0.0.weight'].shape[1], proj_blocks=[0, 4, 8, 12, 51, 55, 59, 63])
+        compression_ratio = 32
+        upscale_algorithm = 'bilinear'
+    elif "backbone.10.blocks.0.weight" in keys:
+        model_ad = comfy.ldm.cascade.controlnet.ControlNet(c_in=t2i_data['backbone.0.weight'].shape[1], bottleneck_mode="large", proj_blocks=[0, 4, 8, 12, 51, 55, 59, 63])
+        compression_ratio = 1
+        upscale_algorithm = 'nearest-exact'
+    else:
+        return None
+
+    missing, unexpected = model_ad.load_state_dict(t2i_data)
+    if len(missing) > 0:
+        logging.warning("t2i missing {}".format(missing))
+
+    if len(unexpected) > 0:
+        logging.debug("t2i unexpected {}".format(unexpected))
+
+    return T2IAdapter(model_ad, model_ad.input_channels, compression_ratio, upscale_algorithm)
diff --git a/ComfyUI/comfy/diffusers_convert.py b/ComfyUI/comfy/diffusers_convert.py
new file mode 100644
index 0000000000000000000000000000000000000000..ed2a45fea586284c7b881a2a7ab46983cd4baafb
--- /dev/null
+++ b/ComfyUI/comfy/diffusers_convert.py
@@ -0,0 +1,281 @@
+import re
+import torch
+import logging
+
+# conversion code from https://github.com/huggingface/diffusers/blob/main/scripts/convert_diffusers_to_original_stable_diffusion.py
+
+# =================#
+# UNet Conversion #
+# =================#
+
+unet_conversion_map = [
+    # (stable-diffusion, HF Diffusers)
+    ("time_embed.0.weight", "time_embedding.linear_1.weight"),
+    ("time_embed.0.bias", "time_embedding.linear_1.bias"),
+    ("time_embed.2.weight", "time_embedding.linear_2.weight"),
+    ("time_embed.2.bias", "time_embedding.linear_2.bias"),
+    ("input_blocks.0.0.weight", "conv_in.weight"),
+    ("input_blocks.0.0.bias", "conv_in.bias"),
+    ("out.0.weight", "conv_norm_out.weight"),
+    ("out.0.bias", "conv_norm_out.bias"),
+    ("out.2.weight", "conv_out.weight"),
+    ("out.2.bias", "conv_out.bias"),
+]
+
+unet_conversion_map_resnet = [
+    # (stable-diffusion, HF Diffusers)
+    ("in_layers.0", "norm1"),
+    ("in_layers.2", "conv1"),
+    ("out_layers.0", "norm2"),
+    ("out_layers.3", "conv2"),
+    ("emb_layers.1", "time_emb_proj"),
+    ("skip_connection", "conv_shortcut"),
+]
+
+unet_conversion_map_layer = []
+# hardcoded number of downblocks and resnets/attentions...
+# would need smarter logic for other networks.
+for i in range(4):
+    # loop over downblocks/upblocks
+
+    for j in range(2):
+        # loop over resnets/attentions for downblocks
+        hf_down_res_prefix = f"down_blocks.{i}.resnets.{j}."
+        sd_down_res_prefix = f"input_blocks.{3 * i + j + 1}.0."
+        unet_conversion_map_layer.append((sd_down_res_prefix, hf_down_res_prefix))
+
+        if i < 3:
+            # no attention layers in down_blocks.3
+            hf_down_atn_prefix = f"down_blocks.{i}.attentions.{j}."
+            sd_down_atn_prefix = f"input_blocks.{3 * i + j + 1}.1."
+            unet_conversion_map_layer.append((sd_down_atn_prefix, hf_down_atn_prefix))
+
+    for j in range(3):
+        # loop over resnets/attentions for upblocks
+        hf_up_res_prefix = f"up_blocks.{i}.resnets.{j}."
+        sd_up_res_prefix = f"output_blocks.{3 * i + j}.0."
+        unet_conversion_map_layer.append((sd_up_res_prefix, hf_up_res_prefix))
+
+        if i > 0:
+            # no attention layers in up_blocks.0
+            hf_up_atn_prefix = f"up_blocks.{i}.attentions.{j}."
+            sd_up_atn_prefix = f"output_blocks.{3 * i + j}.1."
+            unet_conversion_map_layer.append((sd_up_atn_prefix, hf_up_atn_prefix))
+
+    if i < 3:
+        # no downsample in down_blocks.3
+        hf_downsample_prefix = f"down_blocks.{i}.downsamplers.0.conv."
+        sd_downsample_prefix = f"input_blocks.{3 * (i + 1)}.0.op."
+        unet_conversion_map_layer.append((sd_downsample_prefix, hf_downsample_prefix))
+
+        # no upsample in up_blocks.3
+        hf_upsample_prefix = f"up_blocks.{i}.upsamplers.0."
+        sd_upsample_prefix = f"output_blocks.{3 * i + 2}.{1 if i == 0 else 2}."
+        unet_conversion_map_layer.append((sd_upsample_prefix, hf_upsample_prefix))
+
+hf_mid_atn_prefix = "mid_block.attentions.0."
+sd_mid_atn_prefix = "middle_block.1."
+unet_conversion_map_layer.append((sd_mid_atn_prefix, hf_mid_atn_prefix))
+
+for j in range(2):
+    hf_mid_res_prefix = f"mid_block.resnets.{j}."
+    sd_mid_res_prefix = f"middle_block.{2 * j}."
+    unet_conversion_map_layer.append((sd_mid_res_prefix, hf_mid_res_prefix))
+
+
+def convert_unet_state_dict(unet_state_dict):
+    # buyer beware: this is a *brittle* function,
+    # and correct output requires that all of these pieces interact in
+    # the exact order in which I have arranged them.
+    mapping = {k: k for k in unet_state_dict.keys()}
+    for sd_name, hf_name in unet_conversion_map:
+        mapping[hf_name] = sd_name
+    for k, v in mapping.items():
+        if "resnets" in k:
+            for sd_part, hf_part in unet_conversion_map_resnet:
+                v = v.replace(hf_part, sd_part)
+            mapping[k] = v
+    for k, v in mapping.items():
+        for sd_part, hf_part in unet_conversion_map_layer:
+            v = v.replace(hf_part, sd_part)
+        mapping[k] = v
+    new_state_dict = {v: unet_state_dict[k] for k, v in mapping.items()}
+    return new_state_dict
+
+
+# ================#
+# VAE Conversion #
+# ================#
+
+vae_conversion_map = [
+    # (stable-diffusion, HF Diffusers)
+    ("nin_shortcut", "conv_shortcut"),
+    ("norm_out", "conv_norm_out"),
+    ("mid.attn_1.", "mid_block.attentions.0."),
+]
+
+for i in range(4):
+    # down_blocks have two resnets
+    for j in range(2):
+        hf_down_prefix = f"encoder.down_blocks.{i}.resnets.{j}."
+        sd_down_prefix = f"encoder.down.{i}.block.{j}."
+        vae_conversion_map.append((sd_down_prefix, hf_down_prefix))
+
+    if i < 3:
+        hf_downsample_prefix = f"down_blocks.{i}.downsamplers.0."
+        sd_downsample_prefix = f"down.{i}.downsample."
+        vae_conversion_map.append((sd_downsample_prefix, hf_downsample_prefix))
+
+        hf_upsample_prefix = f"up_blocks.{i}.upsamplers.0."
+        sd_upsample_prefix = f"up.{3 - i}.upsample."
+        vae_conversion_map.append((sd_upsample_prefix, hf_upsample_prefix))
+
+    # up_blocks have three resnets
+    # also, up blocks in hf are numbered in reverse from sd
+    for j in range(3):
+        hf_up_prefix = f"decoder.up_blocks.{i}.resnets.{j}."
+        sd_up_prefix = f"decoder.up.{3 - i}.block.{j}."
+        vae_conversion_map.append((sd_up_prefix, hf_up_prefix))
+
+# this part accounts for mid blocks in both the encoder and the decoder
+for i in range(2):
+    hf_mid_res_prefix = f"mid_block.resnets.{i}."
+    sd_mid_res_prefix = f"mid.block_{i + 1}."
+    vae_conversion_map.append((sd_mid_res_prefix, hf_mid_res_prefix))
+
+vae_conversion_map_attn = [
+    # (stable-diffusion, HF Diffusers)
+    ("norm.", "group_norm."),
+    ("q.", "query."),
+    ("k.", "key."),
+    ("v.", "value."),
+    ("q.", "to_q."),
+    ("k.", "to_k."),
+    ("v.", "to_v."),
+    ("proj_out.", "to_out.0."),
+    ("proj_out.", "proj_attn."),
+]
+
+
+def reshape_weight_for_sd(w):
+    # convert HF linear weights to SD conv2d weights
+    return w.reshape(*w.shape, 1, 1)
+
+
+def convert_vae_state_dict(vae_state_dict):
+    mapping = {k: k for k in vae_state_dict.keys()}
+    for k, v in mapping.items():
+        for sd_part, hf_part in vae_conversion_map:
+            v = v.replace(hf_part, sd_part)
+        mapping[k] = v
+    for k, v in mapping.items():
+        if "attentions" in k:
+            for sd_part, hf_part in vae_conversion_map_attn:
+                v = v.replace(hf_part, sd_part)
+            mapping[k] = v
+    new_state_dict = {v: vae_state_dict[k] for k, v in mapping.items()}
+    weights_to_convert = ["q", "k", "v", "proj_out"]
+    for k, v in new_state_dict.items():
+        for weight_name in weights_to_convert:
+            if f"mid.attn_1.{weight_name}.weight" in k:
+                logging.debug(f"Reshaping {k} for SD format")
+                new_state_dict[k] = reshape_weight_for_sd(v)
+    return new_state_dict
+
+
+# =========================#
+# Text Encoder Conversion #
+# =========================#
+
+
+textenc_conversion_lst = [
+    # (stable-diffusion, HF Diffusers)
+    ("resblocks.", "text_model.encoder.layers."),
+    ("ln_1", "layer_norm1"),
+    ("ln_2", "layer_norm2"),
+    (".c_fc.", ".fc1."),
+    (".c_proj.", ".fc2."),
+    (".attn", ".self_attn"),
+    ("ln_final.", "transformer.text_model.final_layer_norm."),
+    ("token_embedding.weight", "transformer.text_model.embeddings.token_embedding.weight"),
+    ("positional_embedding", "transformer.text_model.embeddings.position_embedding.weight"),
+]
+protected = {re.escape(x[1]): x[0] for x in textenc_conversion_lst}
+textenc_pattern = re.compile("|".join(protected.keys()))
+
+# Ordering is from https://github.com/pytorch/pytorch/blob/master/test/cpp/api/modules.cpp
+code2idx = {"q": 0, "k": 1, "v": 2}
+
+# This function exists because at the time of writing torch.cat can't do fp8 with cuda
+def cat_tensors(tensors):
+    x = 0
+    for t in tensors:
+        x += t.shape[0]
+
+    shape = [x] + list(tensors[0].shape)[1:]
+    out = torch.empty(shape, device=tensors[0].device, dtype=tensors[0].dtype)
+
+    x = 0
+    for t in tensors:
+        out[x:x + t.shape[0]] = t
+        x += t.shape[0]
+
+    return out
+
+def convert_text_enc_state_dict_v20(text_enc_dict, prefix=""):
+    new_state_dict = {}
+    capture_qkv_weight = {}
+    capture_qkv_bias = {}
+    for k, v in text_enc_dict.items():
+        if not k.startswith(prefix):
+            continue
+        if (
+                k.endswith(".self_attn.q_proj.weight")
+                or k.endswith(".self_attn.k_proj.weight")
+                or k.endswith(".self_attn.v_proj.weight")
+        ):
+            k_pre = k[: -len(".q_proj.weight")]
+            k_code = k[-len("q_proj.weight")]
+            if k_pre not in capture_qkv_weight:
+                capture_qkv_weight[k_pre] = [None, None, None]
+            capture_qkv_weight[k_pre][code2idx[k_code]] = v
+            continue
+
+        if (
+                k.endswith(".self_attn.q_proj.bias")
+                or k.endswith(".self_attn.k_proj.bias")
+                or k.endswith(".self_attn.v_proj.bias")
+        ):
+            k_pre = k[: -len(".q_proj.bias")]
+            k_code = k[-len("q_proj.bias")]
+            if k_pre not in capture_qkv_bias:
+                capture_qkv_bias[k_pre] = [None, None, None]
+            capture_qkv_bias[k_pre][code2idx[k_code]] = v
+            continue
+
+        text_proj = "transformer.text_projection.weight"
+        if k.endswith(text_proj):
+            new_state_dict[k.replace(text_proj, "text_projection")] = v.transpose(0, 1).contiguous()
+        else:
+            relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k)
+            new_state_dict[relabelled_key] = v
+
+    for k_pre, tensors in capture_qkv_weight.items():
+        if None in tensors:
+            raise Exception("CORRUPTED MODEL: one of the q-k-v values for the text encoder was missing")
+        relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k_pre)
+        new_state_dict[relabelled_key + ".in_proj_weight"] = cat_tensors(tensors)
+
+    for k_pre, tensors in capture_qkv_bias.items():
+        if None in tensors:
+            raise Exception("CORRUPTED MODEL: one of the q-k-v values for the text encoder was missing")
+        relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k_pre)
+        new_state_dict[relabelled_key + ".in_proj_bias"] = cat_tensors(tensors)
+
+    return new_state_dict
+
+
+def convert_text_enc_state_dict(text_enc_dict):
+    return text_enc_dict
+
+
diff --git a/ComfyUI/comfy/diffusers_load.py b/ComfyUI/comfy/diffusers_load.py
new file mode 100644
index 0000000000000000000000000000000000000000..56e63a7565f083eb4e3bc484a3a9f90103306a2f
--- /dev/null
+++ b/ComfyUI/comfy/diffusers_load.py
@@ -0,0 +1,36 @@
+import os
+
+import comfy.sd
+
+def first_file(path, filenames):
+    for f in filenames:
+        p = os.path.join(path, f)
+        if os.path.exists(p):
+            return p
+    return None
+
+def load_diffusers(model_path, output_vae=True, output_clip=True, embedding_directory=None):
+    diffusion_model_names = ["diffusion_pytorch_model.fp16.safetensors", "diffusion_pytorch_model.safetensors", "diffusion_pytorch_model.fp16.bin", "diffusion_pytorch_model.bin"]
+    unet_path = first_file(os.path.join(model_path, "unet"), diffusion_model_names)
+    vae_path = first_file(os.path.join(model_path, "vae"), diffusion_model_names)
+
+    text_encoder_model_names = ["model.fp16.safetensors", "model.safetensors", "pytorch_model.fp16.bin", "pytorch_model.bin"]
+    text_encoder1_path = first_file(os.path.join(model_path, "text_encoder"), text_encoder_model_names)
+    text_encoder2_path = first_file(os.path.join(model_path, "text_encoder_2"), text_encoder_model_names)
+
+    text_encoder_paths = [text_encoder1_path]
+    if text_encoder2_path is not None:
+        text_encoder_paths.append(text_encoder2_path)
+
+    unet = comfy.sd.load_diffusion_model(unet_path)
+
+    clip = None
+    if output_clip:
+        clip = comfy.sd.load_clip(text_encoder_paths, embedding_directory=embedding_directory)
+
+    vae = None
+    if output_vae:
+        sd = comfy.utils.load_torch_file(vae_path)
+        vae = comfy.sd.VAE(sd=sd)
+
+    return (unet, clip, vae)
diff --git a/ComfyUI/comfy/extra_samplers/__pycache__/uni_pc.cpython-310.pyc b/ComfyUI/comfy/extra_samplers/__pycache__/uni_pc.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..299b4badcc515b2f3702490fad312cd8ca5ef428
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diff --git a/ComfyUI/comfy/extra_samplers/__pycache__/uni_pc.cpython-312.pyc b/ComfyUI/comfy/extra_samplers/__pycache__/uni_pc.cpython-312.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..2294c866912860fc9489e84ccfed39c3ab166dfa
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diff --git a/ComfyUI/comfy/extra_samplers/uni_pc.py b/ComfyUI/comfy/extra_samplers/uni_pc.py
new file mode 100644
index 0000000000000000000000000000000000000000..a30d1d03f2e1001f462ce0fa2422a9a16ed279d8
--- /dev/null
+++ b/ComfyUI/comfy/extra_samplers/uni_pc.py
@@ -0,0 +1,875 @@
+#code taken from: https://github.com/wl-zhao/UniPC and modified
+
+import torch
+import torch.nn.functional as F
+import math
+
+from tqdm.auto import trange, tqdm
+
+
+class NoiseScheduleVP:
+    def __init__(
+            self,
+            schedule='discrete',
+            betas=None,
+            alphas_cumprod=None,
+            continuous_beta_0=0.1,
+            continuous_beta_1=20.,
+        ):
+        """Create a wrapper class for the forward SDE (VP type).
+
+        ***
+        Update: We support discrete-time diffusion models by implementing a picewise linear interpolation for log_alpha_t.
+                We recommend to use schedule='discrete' for the discrete-time diffusion models, especially for high-resolution images.
+        ***
+
+        The forward SDE ensures that the condition distribution q_{t|0}(x_t | x_0) = N ( alpha_t * x_0, sigma_t^2 * I ).
+        We further define lambda_t = log(alpha_t) - log(sigma_t), which is the half-logSNR (described in the DPM-Solver paper).
+        Therefore, we implement the functions for computing alpha_t, sigma_t and lambda_t. For t in [0, T], we have:
+
+            log_alpha_t = self.marginal_log_mean_coeff(t)
+            sigma_t = self.marginal_std(t)
+            lambda_t = self.marginal_lambda(t)
+
+        Moreover, as lambda(t) is an invertible function, we also support its inverse function:
+
+            t = self.inverse_lambda(lambda_t)
+
+        ===============================================================
+
+        We support both discrete-time DPMs (trained on n = 0, 1, ..., N-1) and continuous-time DPMs (trained on t in [t_0, T]).
+
+        1. For discrete-time DPMs:
+
+            For discrete-time DPMs trained on n = 0, 1, ..., N-1, we convert the discrete steps to continuous time steps by:
+                t_i = (i + 1) / N
+            e.g. for N = 1000, we have t_0 = 1e-3 and T = t_{N-1} = 1.
+            We solve the corresponding diffusion ODE from time T = 1 to time t_0 = 1e-3.
+
+            Args:
+                betas: A `torch.Tensor`. The beta array for the discrete-time DPM. (See the original DDPM paper for details)
+                alphas_cumprod: A `torch.Tensor`. The cumprod alphas for the discrete-time DPM. (See the original DDPM paper for details)
+
+            Note that we always have alphas_cumprod = cumprod(betas). Therefore, we only need to set one of `betas` and `alphas_cumprod`.
+
+            **Important**:  Please pay special attention for the args for `alphas_cumprod`:
+                The `alphas_cumprod` is the \hat{alpha_n} arrays in the notations of DDPM. Specifically, DDPMs assume that
+                    q_{t_n | 0}(x_{t_n} | x_0) = N ( \sqrt{\hat{alpha_n}} * x_0, (1 - \hat{alpha_n}) * I ).
+                Therefore, the notation \hat{alpha_n} is different from the notation alpha_t in DPM-Solver. In fact, we have
+                    alpha_{t_n} = \sqrt{\hat{alpha_n}},
+                and
+                    log(alpha_{t_n}) = 0.5 * log(\hat{alpha_n}).
+
+
+        2. For continuous-time DPMs:
+
+            We support two types of VPSDEs: linear (DDPM) and cosine (improved-DDPM). The hyperparameters for the noise
+            schedule are the default settings in DDPM and improved-DDPM:
+
+            Args:
+                beta_min: A `float` number. The smallest beta for the linear schedule.
+                beta_max: A `float` number. The largest beta for the linear schedule.
+                cosine_s: A `float` number. The hyperparameter in the cosine schedule.
+                cosine_beta_max: A `float` number. The hyperparameter in the cosine schedule.
+                T: A `float` number. The ending time of the forward process.
+
+        ===============================================================
+
+        Args:
+            schedule: A `str`. The noise schedule of the forward SDE. 'discrete' for discrete-time DPMs,
+                    'linear' or 'cosine' for continuous-time DPMs.
+        Returns:
+            A wrapper object of the forward SDE (VP type).
+        
+        ===============================================================
+
+        Example:
+
+        # For discrete-time DPMs, given betas (the beta array for n = 0, 1, ..., N - 1):
+        >>> ns = NoiseScheduleVP('discrete', betas=betas)
+
+        # For discrete-time DPMs, given alphas_cumprod (the \hat{alpha_n} array for n = 0, 1, ..., N - 1):
+        >>> ns = NoiseScheduleVP('discrete', alphas_cumprod=alphas_cumprod)
+
+        # For continuous-time DPMs (VPSDE), linear schedule:
+        >>> ns = NoiseScheduleVP('linear', continuous_beta_0=0.1, continuous_beta_1=20.)
+
+        """
+
+        if schedule not in ['discrete', 'linear', 'cosine']:
+            raise ValueError("Unsupported noise schedule {}. The schedule needs to be 'discrete' or 'linear' or 'cosine'".format(schedule))
+
+        self.schedule = schedule
+        if schedule == 'discrete':
+            if betas is not None:
+                log_alphas = 0.5 * torch.log(1 - betas).cumsum(dim=0)
+            else:
+                assert alphas_cumprod is not None
+                log_alphas = 0.5 * torch.log(alphas_cumprod)
+            self.total_N = len(log_alphas)
+            self.T = 1.
+            self.t_array = torch.linspace(0., 1., self.total_N + 1)[1:].reshape((1, -1))
+            self.log_alpha_array = log_alphas.reshape((1, -1,))
+        else:
+            self.total_N = 1000
+            self.beta_0 = continuous_beta_0
+            self.beta_1 = continuous_beta_1
+            self.cosine_s = 0.008
+            self.cosine_beta_max = 999.
+            self.cosine_t_max = math.atan(self.cosine_beta_max * (1. + self.cosine_s) / math.pi) * 2. * (1. + self.cosine_s) / math.pi - self.cosine_s
+            self.cosine_log_alpha_0 = math.log(math.cos(self.cosine_s / (1. + self.cosine_s) * math.pi / 2.))
+            self.schedule = schedule
+            if schedule == 'cosine':
+                # For the cosine schedule, T = 1 will have numerical issues. So we manually set the ending time T.
+                # Note that T = 0.9946 may be not the optimal setting. However, we find it works well.
+                self.T = 0.9946
+            else:
+                self.T = 1.
+
+    def marginal_log_mean_coeff(self, t):
+        """
+        Compute log(alpha_t) of a given continuous-time label t in [0, T].
+        """
+        if self.schedule == 'discrete':
+            return interpolate_fn(t.reshape((-1, 1)), self.t_array.to(t.device), self.log_alpha_array.to(t.device)).reshape((-1))
+        elif self.schedule == 'linear':
+            return -0.25 * t ** 2 * (self.beta_1 - self.beta_0) - 0.5 * t * self.beta_0
+        elif self.schedule == 'cosine':
+            log_alpha_fn = lambda s: torch.log(torch.cos((s + self.cosine_s) / (1. + self.cosine_s) * math.pi / 2.))
+            log_alpha_t =  log_alpha_fn(t) - self.cosine_log_alpha_0
+            return log_alpha_t
+
+    def marginal_alpha(self, t):
+        """
+        Compute alpha_t of a given continuous-time label t in [0, T].
+        """
+        return torch.exp(self.marginal_log_mean_coeff(t))
+
+    def marginal_std(self, t):
+        """
+        Compute sigma_t of a given continuous-time label t in [0, T].
+        """
+        return torch.sqrt(1. - torch.exp(2. * self.marginal_log_mean_coeff(t)))
+
+    def marginal_lambda(self, t):
+        """
+        Compute lambda_t = log(alpha_t) - log(sigma_t) of a given continuous-time label t in [0, T].
+        """
+        log_mean_coeff = self.marginal_log_mean_coeff(t)
+        log_std = 0.5 * torch.log(1. - torch.exp(2. * log_mean_coeff))
+        return log_mean_coeff - log_std
+
+    def inverse_lambda(self, lamb):
+        """
+        Compute the continuous-time label t in [0, T] of a given half-logSNR lambda_t.
+        """
+        if self.schedule == 'linear':
+            tmp = 2. * (self.beta_1 - self.beta_0) * torch.logaddexp(-2. * lamb, torch.zeros((1,)).to(lamb))
+            Delta = self.beta_0**2 + tmp
+            return tmp / (torch.sqrt(Delta) + self.beta_0) / (self.beta_1 - self.beta_0)
+        elif self.schedule == 'discrete':
+            log_alpha = -0.5 * torch.logaddexp(torch.zeros((1,)).to(lamb.device), -2. * lamb)
+            t = interpolate_fn(log_alpha.reshape((-1, 1)), torch.flip(self.log_alpha_array.to(lamb.device), [1]), torch.flip(self.t_array.to(lamb.device), [1]))
+            return t.reshape((-1,))
+        else:
+            log_alpha = -0.5 * torch.logaddexp(-2. * lamb, torch.zeros((1,)).to(lamb))
+            t_fn = lambda log_alpha_t: torch.arccos(torch.exp(log_alpha_t + self.cosine_log_alpha_0)) * 2. * (1. + self.cosine_s) / math.pi - self.cosine_s
+            t = t_fn(log_alpha)
+            return t
+
+
+def model_wrapper(
+    model,
+    noise_schedule,
+    model_type="noise",
+    model_kwargs={},
+    guidance_type="uncond",
+    condition=None,
+    unconditional_condition=None,
+    guidance_scale=1.,
+    classifier_fn=None,
+    classifier_kwargs={},
+):
+    """Create a wrapper function for the noise prediction model.
+
+    DPM-Solver needs to solve the continuous-time diffusion ODEs. For DPMs trained on discrete-time labels, we need to
+    firstly wrap the model function to a noise prediction model that accepts the continuous time as the input.
+
+    We support four types of the diffusion model by setting `model_type`:
+
+        1. "noise": noise prediction model. (Trained by predicting noise).
+
+        2. "x_start": data prediction model. (Trained by predicting the data x_0 at time 0).
+
+        3. "v": velocity prediction model. (Trained by predicting the velocity).
+            The "v" prediction is derivation detailed in Appendix D of [1], and is used in Imagen-Video [2].
+
+            [1] Salimans, Tim, and Jonathan Ho. "Progressive distillation for fast sampling of diffusion models."
+                arXiv preprint arXiv:2202.00512 (2022).
+            [2] Ho, Jonathan, et al. "Imagen Video: High Definition Video Generation with Diffusion Models."
+                arXiv preprint arXiv:2210.02303 (2022).
+    
+        4. "score": marginal score function. (Trained by denoising score matching).
+            Note that the score function and the noise prediction model follows a simple relationship:
+            ```
+                noise(x_t, t) = -sigma_t * score(x_t, t)
+            ```
+
+    We support three types of guided sampling by DPMs by setting `guidance_type`:
+        1. "uncond": unconditional sampling by DPMs.
+            The input `model` has the following format:
+            ``
+                model(x, t_input, **model_kwargs) -> noise | x_start | v | score
+            ``
+
+        2. "classifier": classifier guidance sampling [3] by DPMs and another classifier.
+            The input `model` has the following format:
+            ``
+                model(x, t_input, **model_kwargs) -> noise | x_start | v | score
+            `` 
+
+            The input `classifier_fn` has the following format:
+            ``
+                classifier_fn(x, t_input, cond, **classifier_kwargs) -> logits(x, t_input, cond)
+            ``
+
+            [3] P. Dhariwal and A. Q. Nichol, "Diffusion models beat GANs on image synthesis,"
+                in Advances in Neural Information Processing Systems, vol. 34, 2021, pp. 8780-8794.
+
+        3. "classifier-free": classifier-free guidance sampling by conditional DPMs.
+            The input `model` has the following format:
+            ``
+                model(x, t_input, cond, **model_kwargs) -> noise | x_start | v | score
+            `` 
+            And if cond == `unconditional_condition`, the model output is the unconditional DPM output.
+
+            [4] Ho, Jonathan, and Tim Salimans. "Classifier-free diffusion guidance."
+                arXiv preprint arXiv:2207.12598 (2022).
+        
+
+    The `t_input` is the time label of the model, which may be discrete-time labels (i.e. 0 to 999)
+    or continuous-time labels (i.e. epsilon to T).
+
+    We wrap the model function to accept only `x` and `t_continuous` as inputs, and outputs the predicted noise:
+    ``
+        def model_fn(x, t_continuous) -> noise:
+            t_input = get_model_input_time(t_continuous)
+            return noise_pred(model, x, t_input, **model_kwargs)         
+    ``
+    where `t_continuous` is the continuous time labels (i.e. epsilon to T). And we use `model_fn` for DPM-Solver.
+
+    ===============================================================
+
+    Args:
+        model: A diffusion model with the corresponding format described above.
+        noise_schedule: A noise schedule object, such as NoiseScheduleVP.
+        model_type: A `str`. The parameterization type of the diffusion model.
+                    "noise" or "x_start" or "v" or "score".
+        model_kwargs: A `dict`. A dict for the other inputs of the model function.
+        guidance_type: A `str`. The type of the guidance for sampling.
+                    "uncond" or "classifier" or "classifier-free".
+        condition: A pytorch tensor. The condition for the guided sampling.
+                    Only used for "classifier" or "classifier-free" guidance type.
+        unconditional_condition: A pytorch tensor. The condition for the unconditional sampling.
+                    Only used for "classifier-free" guidance type.
+        guidance_scale: A `float`. The scale for the guided sampling.
+        classifier_fn: A classifier function. Only used for the classifier guidance.
+        classifier_kwargs: A `dict`. A dict for the other inputs of the classifier function.
+    Returns:
+        A noise prediction model that accepts the noised data and the continuous time as the inputs.
+    """
+
+    def get_model_input_time(t_continuous):
+        """
+        Convert the continuous-time `t_continuous` (in [epsilon, T]) to the model input time.
+        For discrete-time DPMs, we convert `t_continuous` in [1 / N, 1] to `t_input` in [0, 1000 * (N - 1) / N].
+        For continuous-time DPMs, we just use `t_continuous`.
+        """
+        if noise_schedule.schedule == 'discrete':
+            return (t_continuous - 1. / noise_schedule.total_N) * 1000.
+        else:
+            return t_continuous
+
+    def noise_pred_fn(x, t_continuous, cond=None):
+        if t_continuous.reshape((-1,)).shape[0] == 1:
+            t_continuous = t_continuous.expand((x.shape[0]))
+        t_input = get_model_input_time(t_continuous)
+        output = model(x, t_input, **model_kwargs)
+        if model_type == "noise":
+            return output
+        elif model_type == "x_start":
+            alpha_t, sigma_t = noise_schedule.marginal_alpha(t_continuous), noise_schedule.marginal_std(t_continuous)
+            dims = x.dim()
+            return (x - expand_dims(alpha_t, dims) * output) / expand_dims(sigma_t, dims)
+        elif model_type == "v":
+            alpha_t, sigma_t = noise_schedule.marginal_alpha(t_continuous), noise_schedule.marginal_std(t_continuous)
+            dims = x.dim()
+            return expand_dims(alpha_t, dims) * output + expand_dims(sigma_t, dims) * x
+        elif model_type == "score":
+            sigma_t = noise_schedule.marginal_std(t_continuous)
+            dims = x.dim()
+            return -expand_dims(sigma_t, dims) * output
+
+    def cond_grad_fn(x, t_input):
+        """
+        Compute the gradient of the classifier, i.e. nabla_{x} log p_t(cond | x_t).
+        """
+        with torch.enable_grad():
+            x_in = x.detach().requires_grad_(True)
+            log_prob = classifier_fn(x_in, t_input, condition, **classifier_kwargs)
+            return torch.autograd.grad(log_prob.sum(), x_in)[0]
+
+    def model_fn(x, t_continuous):
+        """
+        The noise predicition model function that is used for DPM-Solver.
+        """
+        if t_continuous.reshape((-1,)).shape[0] == 1:
+            t_continuous = t_continuous.expand((x.shape[0]))
+        if guidance_type == "uncond":
+            return noise_pred_fn(x, t_continuous)
+        elif guidance_type == "classifier":
+            assert classifier_fn is not None
+            t_input = get_model_input_time(t_continuous)
+            cond_grad = cond_grad_fn(x, t_input)
+            sigma_t = noise_schedule.marginal_std(t_continuous)
+            noise = noise_pred_fn(x, t_continuous)
+            return noise - guidance_scale * expand_dims(sigma_t, dims=cond_grad.dim()) * cond_grad
+        elif guidance_type == "classifier-free":
+            if guidance_scale == 1. or unconditional_condition is None:
+                return noise_pred_fn(x, t_continuous, cond=condition)
+            else:
+                x_in = torch.cat([x] * 2)
+                t_in = torch.cat([t_continuous] * 2)
+                c_in = torch.cat([unconditional_condition, condition])
+                noise_uncond, noise = noise_pred_fn(x_in, t_in, cond=c_in).chunk(2)
+                return noise_uncond + guidance_scale * (noise - noise_uncond)
+
+    assert model_type in ["noise", "x_start", "v"]
+    assert guidance_type in ["uncond", "classifier", "classifier-free"]
+    return model_fn
+
+
+class UniPC:
+    def __init__(
+        self,
+        model_fn,
+        noise_schedule,
+        predict_x0=True,
+        thresholding=False,
+        max_val=1.,
+        variant='bh1',
+    ):
+        """Construct a UniPC. 
+
+        We support both data_prediction and noise_prediction.
+        """
+        self.model = model_fn
+        self.noise_schedule = noise_schedule
+        self.variant = variant
+        self.predict_x0 = predict_x0
+        self.thresholding = thresholding
+        self.max_val = max_val
+
+    def dynamic_thresholding_fn(self, x0, t=None):
+        """
+        The dynamic thresholding method. 
+        """
+        dims = x0.dim()
+        p = self.dynamic_thresholding_ratio
+        s = torch.quantile(torch.abs(x0).reshape((x0.shape[0], -1)), p, dim=1)
+        s = expand_dims(torch.maximum(s, self.thresholding_max_val * torch.ones_like(s).to(s.device)), dims)
+        x0 = torch.clamp(x0, -s, s) / s
+        return x0
+
+    def noise_prediction_fn(self, x, t):
+        """
+        Return the noise prediction model.
+        """
+        return self.model(x, t)
+
+    def data_prediction_fn(self, x, t):
+        """
+        Return the data prediction model (with thresholding).
+        """
+        noise = self.noise_prediction_fn(x, t)
+        dims = x.dim()
+        alpha_t, sigma_t = self.noise_schedule.marginal_alpha(t), self.noise_schedule.marginal_std(t)
+        x0 = (x - expand_dims(sigma_t, dims) * noise) / expand_dims(alpha_t, dims)
+        if self.thresholding:
+            p = 0.995   # A hyperparameter in the paper of "Imagen" [1].
+            s = torch.quantile(torch.abs(x0).reshape((x0.shape[0], -1)), p, dim=1)
+            s = expand_dims(torch.maximum(s, self.max_val * torch.ones_like(s).to(s.device)), dims)
+            x0 = torch.clamp(x0, -s, s) / s
+        return x0
+
+    def model_fn(self, x, t):
+        """
+        Convert the model to the noise prediction model or the data prediction model. 
+        """
+        if self.predict_x0:
+            return self.data_prediction_fn(x, t)
+        else:
+            return self.noise_prediction_fn(x, t)
+
+    def get_time_steps(self, skip_type, t_T, t_0, N, device):
+        """Compute the intermediate time steps for sampling.
+        """
+        if skip_type == 'logSNR':
+            lambda_T = self.noise_schedule.marginal_lambda(torch.tensor(t_T).to(device))
+            lambda_0 = self.noise_schedule.marginal_lambda(torch.tensor(t_0).to(device))
+            logSNR_steps = torch.linspace(lambda_T.cpu().item(), lambda_0.cpu().item(), N + 1).to(device)
+            return self.noise_schedule.inverse_lambda(logSNR_steps)
+        elif skip_type == 'time_uniform':
+            return torch.linspace(t_T, t_0, N + 1).to(device)
+        elif skip_type == 'time_quadratic':
+            t_order = 2
+            t = torch.linspace(t_T**(1. / t_order), t_0**(1. / t_order), N + 1).pow(t_order).to(device)
+            return t
+        else:
+            raise ValueError("Unsupported skip_type {}, need to be 'logSNR' or 'time_uniform' or 'time_quadratic'".format(skip_type))
+
+    def get_orders_and_timesteps_for_singlestep_solver(self, steps, order, skip_type, t_T, t_0, device):
+        """
+        Get the order of each step for sampling by the singlestep DPM-Solver.
+        """
+        if order == 3:
+            K = steps // 3 + 1
+            if steps % 3 == 0:
+                orders = [3,] * (K - 2) + [2, 1]
+            elif steps % 3 == 1:
+                orders = [3,] * (K - 1) + [1]
+            else:
+                orders = [3,] * (K - 1) + [2]
+        elif order == 2:
+            if steps % 2 == 0:
+                K = steps // 2
+                orders = [2,] * K
+            else:
+                K = steps // 2 + 1
+                orders = [2,] * (K - 1) + [1]
+        elif order == 1:
+            K = steps
+            orders = [1,] * steps
+        else:
+            raise ValueError("'order' must be '1' or '2' or '3'.")
+        if skip_type == 'logSNR':
+            # To reproduce the results in DPM-Solver paper
+            timesteps_outer = self.get_time_steps(skip_type, t_T, t_0, K, device)
+        else:
+            timesteps_outer = self.get_time_steps(skip_type, t_T, t_0, steps, device)[torch.cumsum(torch.tensor([0,] + orders), 0).to(device)]
+        return timesteps_outer, orders
+
+    def denoise_to_zero_fn(self, x, s):
+        """
+        Denoise at the final step, which is equivalent to solve the ODE from lambda_s to infty by first-order discretization. 
+        """
+        return self.data_prediction_fn(x, s)
+
+    def multistep_uni_pc_update(self, x, model_prev_list, t_prev_list, t, order, **kwargs):
+        if len(t.shape) == 0:
+            t = t.view(-1)
+        if 'bh' in self.variant:
+            return self.multistep_uni_pc_bh_update(x, model_prev_list, t_prev_list, t, order, **kwargs)
+        else:
+            assert self.variant == 'vary_coeff'
+            return self.multistep_uni_pc_vary_update(x, model_prev_list, t_prev_list, t, order, **kwargs)
+
+    def multistep_uni_pc_vary_update(self, x, model_prev_list, t_prev_list, t, order, use_corrector=True):
+        print(f'using unified predictor-corrector with order {order} (solver type: vary coeff)')
+        ns = self.noise_schedule
+        assert order <= len(model_prev_list)
+
+        # first compute rks
+        t_prev_0 = t_prev_list[-1]
+        lambda_prev_0 = ns.marginal_lambda(t_prev_0)
+        lambda_t = ns.marginal_lambda(t)
+        model_prev_0 = model_prev_list[-1]
+        sigma_prev_0, sigma_t = ns.marginal_std(t_prev_0), ns.marginal_std(t)
+        log_alpha_t = ns.marginal_log_mean_coeff(t)
+        alpha_t = torch.exp(log_alpha_t)
+
+        h = lambda_t - lambda_prev_0
+
+        rks = []
+        D1s = []
+        for i in range(1, order):
+            t_prev_i = t_prev_list[-(i + 1)]
+            model_prev_i = model_prev_list[-(i + 1)]
+            lambda_prev_i = ns.marginal_lambda(t_prev_i)
+            rk = (lambda_prev_i - lambda_prev_0) / h
+            rks.append(rk)
+            D1s.append((model_prev_i - model_prev_0) / rk)
+
+        rks.append(1.)
+        rks = torch.tensor(rks, device=x.device)
+
+        K = len(rks)
+        # build C matrix
+        C = []
+
+        col = torch.ones_like(rks)
+        for k in range(1, K + 1):
+            C.append(col)
+            col = col * rks / (k + 1) 
+        C = torch.stack(C, dim=1)
+
+        if len(D1s) > 0:
+            D1s = torch.stack(D1s, dim=1) # (B, K)
+            C_inv_p = torch.linalg.inv(C[:-1, :-1])
+            A_p = C_inv_p
+
+        if use_corrector:
+            print('using corrector')
+            C_inv = torch.linalg.inv(C)
+            A_c = C_inv
+
+        hh = -h if self.predict_x0 else h
+        h_phi_1 = torch.expm1(hh)
+        h_phi_ks = []
+        factorial_k = 1
+        h_phi_k = h_phi_1
+        for k in range(1, K + 2):
+            h_phi_ks.append(h_phi_k)
+            h_phi_k = h_phi_k / hh - 1 / factorial_k
+            factorial_k *= (k + 1)
+
+        model_t = None
+        if self.predict_x0:
+            x_t_ = (
+                sigma_t / sigma_prev_0 * x
+                - alpha_t * h_phi_1 * model_prev_0
+            )
+            # now predictor
+            x_t = x_t_
+            if len(D1s) > 0:
+                # compute the residuals for predictor
+                for k in range(K - 1):
+                    x_t = x_t - alpha_t * h_phi_ks[k + 1] * torch.einsum('bkchw,k->bchw', D1s, A_p[k])
+            # now corrector
+            if use_corrector:
+                model_t = self.model_fn(x_t, t)
+                D1_t = (model_t - model_prev_0)
+                x_t = x_t_
+                k = 0
+                for k in range(K - 1):
+                    x_t = x_t - alpha_t * h_phi_ks[k + 1] * torch.einsum('bkchw,k->bchw', D1s, A_c[k][:-1])
+                x_t = x_t - alpha_t * h_phi_ks[K] * (D1_t * A_c[k][-1])
+        else:
+            log_alpha_prev_0, log_alpha_t = ns.marginal_log_mean_coeff(t_prev_0), ns.marginal_log_mean_coeff(t)
+            x_t_ = (
+                (torch.exp(log_alpha_t - log_alpha_prev_0)) * x
+                - (sigma_t * h_phi_1) * model_prev_0
+            )
+            # now predictor
+            x_t = x_t_
+            if len(D1s) > 0:
+                # compute the residuals for predictor
+                for k in range(K - 1):
+                    x_t = x_t - sigma_t * h_phi_ks[k + 1] * torch.einsum('bkchw,k->bchw', D1s, A_p[k])
+            # now corrector
+            if use_corrector:
+                model_t = self.model_fn(x_t, t)
+                D1_t = (model_t - model_prev_0)
+                x_t = x_t_
+                k = 0
+                for k in range(K - 1):
+                    x_t = x_t - sigma_t * h_phi_ks[k + 1] * torch.einsum('bkchw,k->bchw', D1s, A_c[k][:-1])
+                x_t = x_t - sigma_t * h_phi_ks[K] * (D1_t * A_c[k][-1])
+        return x_t, model_t
+
+    def multistep_uni_pc_bh_update(self, x, model_prev_list, t_prev_list, t, order, x_t=None, use_corrector=True):
+        # print(f'using unified predictor-corrector with order {order} (solver type: B(h))')
+        ns = self.noise_schedule
+        assert order <= len(model_prev_list)
+        dims = x.dim()
+
+        # first compute rks
+        t_prev_0 = t_prev_list[-1]
+        lambda_prev_0 = ns.marginal_lambda(t_prev_0)
+        lambda_t = ns.marginal_lambda(t)
+        model_prev_0 = model_prev_list[-1]
+        sigma_prev_0, sigma_t = ns.marginal_std(t_prev_0), ns.marginal_std(t)
+        log_alpha_prev_0, log_alpha_t = ns.marginal_log_mean_coeff(t_prev_0), ns.marginal_log_mean_coeff(t)
+        alpha_t = torch.exp(log_alpha_t)
+
+        h = lambda_t - lambda_prev_0
+
+        rks = []
+        D1s = []
+        for i in range(1, order):
+            t_prev_i = t_prev_list[-(i + 1)]
+            model_prev_i = model_prev_list[-(i + 1)]
+            lambda_prev_i = ns.marginal_lambda(t_prev_i)
+            rk = ((lambda_prev_i - lambda_prev_0) / h)[0]
+            rks.append(rk)
+            D1s.append((model_prev_i - model_prev_0) / rk)
+
+        rks.append(1.)
+        rks = torch.tensor(rks, device=x.device)
+
+        R = []
+        b = []
+
+        hh = -h[0] if self.predict_x0 else h[0]
+        h_phi_1 = torch.expm1(hh) # h\phi_1(h) = e^h - 1
+        h_phi_k = h_phi_1 / hh - 1
+
+        factorial_i = 1
+
+        if self.variant == 'bh1':
+            B_h = hh
+        elif self.variant == 'bh2':
+            B_h = torch.expm1(hh)
+        else:
+            raise NotImplementedError()
+            
+        for i in range(1, order + 1):
+            R.append(torch.pow(rks, i - 1))
+            b.append(h_phi_k * factorial_i / B_h)
+            factorial_i *= (i + 1)
+            h_phi_k = h_phi_k / hh - 1 / factorial_i 
+
+        R = torch.stack(R)
+        b = torch.tensor(b, device=x.device)
+
+        # now predictor
+        use_predictor = len(D1s) > 0 and x_t is None
+        if len(D1s) > 0:
+            D1s = torch.stack(D1s, dim=1) # (B, K)
+            if x_t is None:
+                # for order 2, we use a simplified version
+                if order == 2:
+                    rhos_p = torch.tensor([0.5], device=b.device)
+                else:
+                    rhos_p = torch.linalg.solve(R[:-1, :-1], b[:-1])
+        else:
+            D1s = None
+
+        if use_corrector:
+            # print('using corrector')
+            # for order 1, we use a simplified version
+            if order == 1:
+                rhos_c = torch.tensor([0.5], device=b.device)
+            else:
+                rhos_c = torch.linalg.solve(R, b)
+
+        model_t = None
+        if self.predict_x0:
+            x_t_ = (
+                expand_dims(sigma_t / sigma_prev_0, dims) * x
+                - expand_dims(alpha_t * h_phi_1, dims)* model_prev_0
+            )
+
+            if x_t is None:
+                if use_predictor:
+                    pred_res = torch.einsum('k,bkchw->bchw', rhos_p, D1s)
+                else:
+                    pred_res = 0
+                x_t = x_t_ - expand_dims(alpha_t * B_h, dims) * pred_res
+
+            if use_corrector:
+                model_t = self.model_fn(x_t, t)
+                if D1s is not None:
+                    corr_res = torch.einsum('k,bkchw->bchw', rhos_c[:-1], D1s)
+                else:
+                    corr_res = 0
+                D1_t = (model_t - model_prev_0)
+                x_t = x_t_ - expand_dims(alpha_t * B_h, dims) * (corr_res + rhos_c[-1] * D1_t)
+        else:
+            x_t_ = (
+                expand_dims(torch.exp(log_alpha_t - log_alpha_prev_0), dims) * x
+                - expand_dims(sigma_t * h_phi_1, dims) * model_prev_0
+            )
+            if x_t is None:
+                if use_predictor:
+                    pred_res = torch.einsum('k,bkchw->bchw', rhos_p, D1s)
+                else:
+                    pred_res = 0
+                x_t = x_t_ - expand_dims(sigma_t * B_h, dims) * pred_res
+
+            if use_corrector:
+                model_t = self.model_fn(x_t, t)
+                if D1s is not None:
+                    corr_res = torch.einsum('k,bkchw->bchw', rhos_c[:-1], D1s)
+                else:
+                    corr_res = 0
+                D1_t = (model_t - model_prev_0)
+                x_t = x_t_ - expand_dims(sigma_t * B_h, dims) * (corr_res + rhos_c[-1] * D1_t)
+        return x_t, model_t
+
+
+    def sample(self, x, timesteps, t_start=None, t_end=None, order=3, skip_type='time_uniform',
+        method='singlestep', lower_order_final=True, denoise_to_zero=False, solver_type='dpm_solver',
+        atol=0.0078, rtol=0.05, corrector=False, callback=None, disable_pbar=False
+    ):
+        # t_0 = 1. / self.noise_schedule.total_N if t_end is None else t_end
+        # t_T = self.noise_schedule.T if t_start is None else t_start
+        device = x.device
+        steps = len(timesteps) - 1
+        if method == 'multistep':
+            assert steps >= order
+            # timesteps = self.get_time_steps(skip_type=skip_type, t_T=t_T, t_0=t_0, N=steps, device=device)
+            assert timesteps.shape[0] - 1 == steps
+            # with torch.no_grad():
+            for step_index in trange(steps, disable=disable_pbar):
+                if step_index == 0:
+                    vec_t = timesteps[0].expand((x.shape[0]))
+                    model_prev_list = [self.model_fn(x, vec_t)]
+                    t_prev_list = [vec_t]
+                elif step_index < order:
+                    init_order = step_index
+                # Init the first `order` values by lower order multistep DPM-Solver.
+                # for init_order in range(1, order):
+                    vec_t = timesteps[init_order].expand(x.shape[0])
+                    x, model_x = self.multistep_uni_pc_update(x, model_prev_list, t_prev_list, vec_t, init_order, use_corrector=True)
+                    if model_x is None:
+                        model_x = self.model_fn(x, vec_t)
+                    model_prev_list.append(model_x)
+                    t_prev_list.append(vec_t)
+                else:
+                    extra_final_step = 0
+                    if step_index == (steps - 1):
+                        extra_final_step = 1
+                    for step in range(step_index, step_index + 1 + extra_final_step):
+                        vec_t = timesteps[step].expand(x.shape[0])
+                        if lower_order_final:
+                            step_order = min(order, steps + 1 - step)
+                        else:
+                            step_order = order
+                        # print('this step order:', step_order)
+                        if step == steps:
+                            # print('do not run corrector at the last step')
+                            use_corrector = False
+                        else:
+                            use_corrector = True
+                        x, model_x =  self.multistep_uni_pc_update(x, model_prev_list, t_prev_list, vec_t, step_order, use_corrector=use_corrector)
+                        for i in range(order - 1):
+                            t_prev_list[i] = t_prev_list[i + 1]
+                            model_prev_list[i] = model_prev_list[i + 1]
+                        t_prev_list[-1] = vec_t
+                        # We do not need to evaluate the final model value.
+                        if step < steps:
+                            if model_x is None:
+                                model_x = self.model_fn(x, vec_t)
+                            model_prev_list[-1] = model_x
+                if callback is not None:
+                    callback({'x': x, 'i': step_index, 'denoised': model_prev_list[-1]})
+        else:
+            raise NotImplementedError()
+        # if denoise_to_zero:
+        #     x = self.denoise_to_zero_fn(x, torch.ones((x.shape[0],)).to(device) * t_0)
+        return x
+
+
+#############################################################
+# other utility functions
+#############################################################
+
+def interpolate_fn(x, xp, yp):
+    """
+    A piecewise linear function y = f(x), using xp and yp as keypoints.
+    We implement f(x) in a differentiable way (i.e. applicable for autograd).
+    The function f(x) is well-defined for all x-axis. (For x beyond the bounds of xp, we use the outmost points of xp to define the linear function.)
+
+    Args:
+        x: PyTorch tensor with shape [N, C], where N is the batch size, C is the number of channels (we use C = 1 for DPM-Solver).
+        xp: PyTorch tensor with shape [C, K], where K is the number of keypoints.
+        yp: PyTorch tensor with shape [C, K].
+    Returns:
+        The function values f(x), with shape [N, C].
+    """
+    N, K = x.shape[0], xp.shape[1]
+    all_x = torch.cat([x.unsqueeze(2), xp.unsqueeze(0).repeat((N, 1, 1))], dim=2)
+    sorted_all_x, x_indices = torch.sort(all_x, dim=2)
+    x_idx = torch.argmin(x_indices, dim=2)
+    cand_start_idx = x_idx - 1
+    start_idx = torch.where(
+        torch.eq(x_idx, 0),
+        torch.tensor(1, device=x.device),
+        torch.where(
+            torch.eq(x_idx, K), torch.tensor(K - 2, device=x.device), cand_start_idx,
+        ),
+    )
+    end_idx = torch.where(torch.eq(start_idx, cand_start_idx), start_idx + 2, start_idx + 1)
+    start_x = torch.gather(sorted_all_x, dim=2, index=start_idx.unsqueeze(2)).squeeze(2)
+    end_x = torch.gather(sorted_all_x, dim=2, index=end_idx.unsqueeze(2)).squeeze(2)
+    start_idx2 = torch.where(
+        torch.eq(x_idx, 0),
+        torch.tensor(0, device=x.device),
+        torch.where(
+            torch.eq(x_idx, K), torch.tensor(K - 2, device=x.device), cand_start_idx,
+        ),
+    )
+    y_positions_expanded = yp.unsqueeze(0).expand(N, -1, -1)
+    start_y = torch.gather(y_positions_expanded, dim=2, index=start_idx2.unsqueeze(2)).squeeze(2)
+    end_y = torch.gather(y_positions_expanded, dim=2, index=(start_idx2 + 1).unsqueeze(2)).squeeze(2)
+    cand = start_y + (x - start_x) * (end_y - start_y) / (end_x - start_x)
+    return cand
+
+
+def expand_dims(v, dims):
+    """
+    Expand the tensor `v` to the dim `dims`.
+
+    Args:
+        `v`: a PyTorch tensor with shape [N].
+        `dim`: a `int`.
+    Returns:
+        a PyTorch tensor with shape [N, 1, 1, ..., 1] and the total dimension is `dims`.
+    """
+    return v[(...,) + (None,)*(dims - 1)]
+
+
+class SigmaConvert:
+    schedule = ""
+    def marginal_log_mean_coeff(self, sigma):
+        return 0.5 * torch.log(1 / ((sigma * sigma) + 1))
+
+    def marginal_alpha(self, t):
+        return torch.exp(self.marginal_log_mean_coeff(t))
+
+    def marginal_std(self, t):
+        return torch.sqrt(1. - torch.exp(2. * self.marginal_log_mean_coeff(t)))
+
+    def marginal_lambda(self, t):
+        """
+        Compute lambda_t = log(alpha_t) - log(sigma_t) of a given continuous-time label t in [0, T].
+        """
+        log_mean_coeff = self.marginal_log_mean_coeff(t)
+        log_std = 0.5 * torch.log(1. - torch.exp(2. * log_mean_coeff))
+        return log_mean_coeff - log_std
+
+def predict_eps_sigma(model, input, sigma_in, **kwargs):
+    sigma = sigma_in.view(sigma_in.shape[:1] + (1,) * (input.ndim - 1))
+    input = input * ((sigma ** 2 + 1.0) ** 0.5)
+    return  (input - model(input, sigma_in, **kwargs)) / sigma
+
+
+def sample_unipc(model, noise, sigmas, extra_args=None, callback=None, disable=False, variant='bh1'):
+        timesteps = sigmas.clone()
+        if sigmas[-1] == 0:
+            timesteps = sigmas[:]
+            timesteps[-1] = 0.001
+        else:
+            timesteps = sigmas.clone()
+        ns = SigmaConvert()
+
+        noise = noise / torch.sqrt(1.0 + timesteps[0] ** 2.0)
+        model_type = "noise"
+
+        model_fn = model_wrapper(
+            lambda input, sigma, **kwargs: predict_eps_sigma(model, input, sigma, **kwargs),
+            ns,
+            model_type=model_type,
+            guidance_type="uncond",
+            model_kwargs=extra_args,
+        )
+
+        order = min(3, len(timesteps) - 2)
+        uni_pc = UniPC(model_fn, ns, predict_x0=True, thresholding=False, variant=variant)
+        x = uni_pc.sample(noise, timesteps=timesteps, skip_type="time_uniform", method="multistep", order=order, lower_order_final=True, callback=callback, disable_pbar=disable)
+        x /= ns.marginal_alpha(timesteps[-1])
+        return x
+
+def sample_unipc_bh2(model, noise, sigmas, extra_args=None, callback=None, disable=False):
+    return sample_unipc(model, noise, sigmas, extra_args, callback, disable, variant='bh2')
\ No newline at end of file
diff --git a/ComfyUI/comfy/float.py b/ComfyUI/comfy/float.py
new file mode 100644
index 0000000000000000000000000000000000000000..4a6ae677680948bf33298ea7161d00c8b9a161eb
--- /dev/null
+++ b/ComfyUI/comfy/float.py
@@ -0,0 +1,66 @@
+import torch
+import math
+
+def calc_mantissa(abs_x, exponent, normal_mask, MANTISSA_BITS, EXPONENT_BIAS, generator=None):
+    mantissa_scaled = torch.where(
+        normal_mask,
+        (abs_x / (2.0 ** (exponent - EXPONENT_BIAS)) - 1.0) * (2**MANTISSA_BITS),
+        (abs_x / (2.0 ** (-EXPONENT_BIAS + 1 - MANTISSA_BITS)))
+    )
+
+    mantissa_scaled += torch.rand(mantissa_scaled.size(), dtype=mantissa_scaled.dtype, layout=mantissa_scaled.layout, device=mantissa_scaled.device, generator=generator)
+    return mantissa_scaled.floor() / (2**MANTISSA_BITS)
+
+#Not 100% sure about this
+def manual_stochastic_round_to_float8(x, dtype, generator=None):
+    if dtype == torch.float8_e4m3fn:
+        EXPONENT_BITS, MANTISSA_BITS, EXPONENT_BIAS = 4, 3, 7
+    elif dtype == torch.float8_e5m2:
+        EXPONENT_BITS, MANTISSA_BITS, EXPONENT_BIAS = 5, 2, 15
+    else:
+        raise ValueError("Unsupported dtype")
+
+    x = x.half()
+    sign = torch.sign(x)
+    abs_x = x.abs()
+    sign = torch.where(abs_x == 0, 0, sign)
+
+    # Combine exponent calculation and clamping
+    exponent = torch.clamp(
+        torch.floor(torch.log2(abs_x)) + EXPONENT_BIAS,
+        0, 2**EXPONENT_BITS - 1
+    )
+
+    # Combine mantissa calculation and rounding
+    normal_mask = ~(exponent == 0)
+
+    abs_x[:] = calc_mantissa(abs_x, exponent, normal_mask, MANTISSA_BITS, EXPONENT_BIAS, generator=generator)
+
+    sign *= torch.where(
+        normal_mask,
+        (2.0 ** (exponent - EXPONENT_BIAS)) * (1.0 + abs_x),
+        (2.0 ** (-EXPONENT_BIAS + 1)) * abs_x
+    )
+
+    return sign
+
+
+
+def stochastic_rounding(value, dtype, seed=0):
+    if dtype == torch.float32:
+        return value.to(dtype=torch.float32)
+    if dtype == torch.float16:
+        return value.to(dtype=torch.float16)
+    if dtype == torch.bfloat16:
+        return value.to(dtype=torch.bfloat16)
+    if dtype == torch.float8_e4m3fn or dtype == torch.float8_e5m2:
+        generator = torch.Generator(device=value.device)
+        generator.manual_seed(seed)
+        output = torch.empty_like(value, dtype=dtype)
+        num_slices = max(1, (value.numel() / (4096 * 4096)))
+        slice_size = max(1, round(value.shape[0] / num_slices))
+        for i in range(0, value.shape[0], slice_size):
+            output[i:i+slice_size].copy_(manual_stochastic_round_to_float8(value[i:i+slice_size], dtype, generator=generator))
+        return output
+
+    return value.to(dtype=dtype)
diff --git a/ComfyUI/comfy/gligen.py b/ComfyUI/comfy/gligen.py
new file mode 100644
index 0000000000000000000000000000000000000000..592522767e98bbe11b6e5e9411b1f734cbf92b9b
--- /dev/null
+++ b/ComfyUI/comfy/gligen.py
@@ -0,0 +1,343 @@
+import torch
+from torch import nn
+from .ldm.modules.attention import CrossAttention
+from inspect import isfunction
+import comfy.ops
+ops = comfy.ops.manual_cast
+
+def exists(val):
+    return val is not None
+
+
+def uniq(arr):
+    return{el: True for el in arr}.keys()
+
+
+def default(val, d):
+    if exists(val):
+        return val
+    return d() if isfunction(d) else d
+
+
+# feedforward
+class GEGLU(nn.Module):
+    def __init__(self, dim_in, dim_out):
+        super().__init__()
+        self.proj = ops.Linear(dim_in, dim_out * 2)
+
+    def forward(self, x):
+        x, gate = self.proj(x).chunk(2, dim=-1)
+        return x * torch.nn.functional.gelu(gate)
+
+
+class FeedForward(nn.Module):
+    def __init__(self, dim, dim_out=None, mult=4, glu=False, dropout=0.):
+        super().__init__()
+        inner_dim = int(dim * mult)
+        dim_out = default(dim_out, dim)
+        project_in = nn.Sequential(
+            ops.Linear(dim, inner_dim),
+            nn.GELU()
+        ) if not glu else GEGLU(dim, inner_dim)
+
+        self.net = nn.Sequential(
+            project_in,
+            nn.Dropout(dropout),
+            ops.Linear(inner_dim, dim_out)
+        )
+
+    def forward(self, x):
+        return self.net(x)
+
+
+class GatedCrossAttentionDense(nn.Module):
+    def __init__(self, query_dim, context_dim, n_heads, d_head):
+        super().__init__()
+
+        self.attn = CrossAttention(
+            query_dim=query_dim,
+            context_dim=context_dim,
+            heads=n_heads,
+            dim_head=d_head,
+            operations=ops)
+        self.ff = FeedForward(query_dim, glu=True)
+
+        self.norm1 = ops.LayerNorm(query_dim)
+        self.norm2 = ops.LayerNorm(query_dim)
+
+        self.register_parameter('alpha_attn', nn.Parameter(torch.tensor(0.)))
+        self.register_parameter('alpha_dense', nn.Parameter(torch.tensor(0.)))
+
+        # this can be useful: we can externally change magnitude of tanh(alpha)
+        # for example, when it is set to 0, then the entire model is same as
+        # original one
+        self.scale = 1
+
+    def forward(self, x, objs):
+
+        x = x + self.scale * \
+            torch.tanh(self.alpha_attn) * self.attn(self.norm1(x), objs, objs)
+        x = x + self.scale * \
+            torch.tanh(self.alpha_dense) * self.ff(self.norm2(x))
+
+        return x
+
+
+class GatedSelfAttentionDense(nn.Module):
+    def __init__(self, query_dim, context_dim, n_heads, d_head):
+        super().__init__()
+
+        # we need a linear projection since we need cat visual feature and obj
+        # feature
+        self.linear = ops.Linear(context_dim, query_dim)
+
+        self.attn = CrossAttention(
+            query_dim=query_dim,
+            context_dim=query_dim,
+            heads=n_heads,
+            dim_head=d_head,
+            operations=ops)
+        self.ff = FeedForward(query_dim, glu=True)
+
+        self.norm1 = ops.LayerNorm(query_dim)
+        self.norm2 = ops.LayerNorm(query_dim)
+
+        self.register_parameter('alpha_attn', nn.Parameter(torch.tensor(0.)))
+        self.register_parameter('alpha_dense', nn.Parameter(torch.tensor(0.)))
+
+        # this can be useful: we can externally change magnitude of tanh(alpha)
+        # for example, when it is set to 0, then the entire model is same as
+        # original one
+        self.scale = 1
+
+    def forward(self, x, objs):
+
+        N_visual = x.shape[1]
+        objs = self.linear(objs)
+
+        x = x + self.scale * torch.tanh(self.alpha_attn) * self.attn(
+            self.norm1(torch.cat([x, objs], dim=1)))[:, 0:N_visual, :]
+        x = x + self.scale * \
+            torch.tanh(self.alpha_dense) * self.ff(self.norm2(x))
+
+        return x
+
+
+class GatedSelfAttentionDense2(nn.Module):
+    def __init__(self, query_dim, context_dim, n_heads, d_head):
+        super().__init__()
+
+        # we need a linear projection since we need cat visual feature and obj
+        # feature
+        self.linear = ops.Linear(context_dim, query_dim)
+
+        self.attn = CrossAttention(
+            query_dim=query_dim, context_dim=query_dim, dim_head=d_head, operations=ops)
+        self.ff = FeedForward(query_dim, glu=True)
+
+        self.norm1 = ops.LayerNorm(query_dim)
+        self.norm2 = ops.LayerNorm(query_dim)
+
+        self.register_parameter('alpha_attn', nn.Parameter(torch.tensor(0.)))
+        self.register_parameter('alpha_dense', nn.Parameter(torch.tensor(0.)))
+
+        # this can be useful: we can externally change magnitude of tanh(alpha)
+        # for example, when it is set to 0, then the entire model is same as
+        # original one
+        self.scale = 1
+
+    def forward(self, x, objs):
+
+        B, N_visual, _ = x.shape
+        B, N_ground, _ = objs.shape
+
+        objs = self.linear(objs)
+
+        # sanity check
+        size_v = math.sqrt(N_visual)
+        size_g = math.sqrt(N_ground)
+        assert int(size_v) == size_v, "Visual tokens must be square rootable"
+        assert int(size_g) == size_g, "Grounding tokens must be square rootable"
+        size_v = int(size_v)
+        size_g = int(size_g)
+
+        # select grounding token and resize it to visual token size as residual
+        out = self.attn(self.norm1(torch.cat([x, objs], dim=1)))[
+            :, N_visual:, :]
+        out = out.permute(0, 2, 1).reshape(B, -1, size_g, size_g)
+        out = torch.nn.functional.interpolate(
+            out, (size_v, size_v), mode='bicubic')
+        residual = out.reshape(B, -1, N_visual).permute(0, 2, 1)
+
+        # add residual to visual feature
+        x = x + self.scale * torch.tanh(self.alpha_attn) * residual
+        x = x + self.scale * \
+            torch.tanh(self.alpha_dense) * self.ff(self.norm2(x))
+
+        return x
+
+
+class FourierEmbedder():
+    def __init__(self, num_freqs=64, temperature=100):
+
+        self.num_freqs = num_freqs
+        self.temperature = temperature
+        self.freq_bands = temperature ** (torch.arange(num_freqs) / num_freqs)
+
+    @torch.no_grad()
+    def __call__(self, x, cat_dim=-1):
+        "x: arbitrary shape of tensor. dim: cat dim"
+        out = []
+        for freq in self.freq_bands:
+            out.append(torch.sin(freq * x))
+            out.append(torch.cos(freq * x))
+        return torch.cat(out, cat_dim)
+
+
+class PositionNet(nn.Module):
+    def __init__(self, in_dim, out_dim, fourier_freqs=8):
+        super().__init__()
+        self.in_dim = in_dim
+        self.out_dim = out_dim
+
+        self.fourier_embedder = FourierEmbedder(num_freqs=fourier_freqs)
+        self.position_dim = fourier_freqs * 2 * 4  # 2 is sin&cos, 4 is xyxy
+
+        self.linears = nn.Sequential(
+            ops.Linear(self.in_dim + self.position_dim, 512),
+            nn.SiLU(),
+            ops.Linear(512, 512),
+            nn.SiLU(),
+            ops.Linear(512, out_dim),
+        )
+
+        self.null_positive_feature = torch.nn.Parameter(
+            torch.zeros([self.in_dim]))
+        self.null_position_feature = torch.nn.Parameter(
+            torch.zeros([self.position_dim]))
+
+    def forward(self, boxes, masks, positive_embeddings):
+        B, N, _ = boxes.shape
+        masks = masks.unsqueeze(-1)
+        positive_embeddings = positive_embeddings
+
+        # embedding position (it may includes padding as placeholder)
+        xyxy_embedding = self.fourier_embedder(boxes)  # B*N*4 --> B*N*C
+
+        # learnable null embedding
+        positive_null = self.null_positive_feature.to(device=boxes.device, dtype=boxes.dtype).view(1, 1, -1)
+        xyxy_null = self.null_position_feature.to(device=boxes.device, dtype=boxes.dtype).view(1, 1, -1)
+
+        # replace padding with learnable null embedding
+        positive_embeddings = positive_embeddings * \
+            masks + (1 - masks) * positive_null
+        xyxy_embedding = xyxy_embedding * masks + (1 - masks) * xyxy_null
+
+        objs = self.linears(
+            torch.cat([positive_embeddings, xyxy_embedding], dim=-1))
+        assert objs.shape == torch.Size([B, N, self.out_dim])
+        return objs
+
+
+class Gligen(nn.Module):
+    def __init__(self, modules, position_net, key_dim):
+        super().__init__()
+        self.module_list = nn.ModuleList(modules)
+        self.position_net = position_net
+        self.key_dim = key_dim
+        self.max_objs = 30
+        self.current_device = torch.device("cpu")
+
+    def _set_position(self, boxes, masks, positive_embeddings):
+        objs = self.position_net(boxes, masks, positive_embeddings)
+        def func(x, extra_options):
+            key = extra_options["transformer_index"]
+            module = self.module_list[key]
+            return module(x, objs.to(device=x.device, dtype=x.dtype))
+        return func
+
+    def set_position(self, latent_image_shape, position_params, device):
+        batch, c, h, w = latent_image_shape
+        masks = torch.zeros([self.max_objs], device="cpu")
+        boxes = []
+        positive_embeddings = []
+        for p in position_params:
+            x1 = (p[4]) / w
+            y1 = (p[3]) / h
+            x2 = (p[4] + p[2]) / w
+            y2 = (p[3] + p[1]) / h
+            masks[len(boxes)] = 1.0
+            boxes += [torch.tensor((x1, y1, x2, y2)).unsqueeze(0)]
+            positive_embeddings += [p[0]]
+        append_boxes = []
+        append_conds = []
+        if len(boxes) < self.max_objs:
+            append_boxes = [torch.zeros(
+                [self.max_objs - len(boxes), 4], device="cpu")]
+            append_conds = [torch.zeros(
+                [self.max_objs - len(boxes), self.key_dim], device="cpu")]
+
+        box_out = torch.cat(
+            boxes + append_boxes).unsqueeze(0).repeat(batch, 1, 1)
+        masks = masks.unsqueeze(0).repeat(batch, 1)
+        conds = torch.cat(positive_embeddings +
+                          append_conds).unsqueeze(0).repeat(batch, 1, 1)
+        return self._set_position(
+            box_out.to(device),
+            masks.to(device),
+            conds.to(device))
+
+    def set_empty(self, latent_image_shape, device):
+        batch, c, h, w = latent_image_shape
+        masks = torch.zeros([self.max_objs], device="cpu").repeat(batch, 1)
+        box_out = torch.zeros([self.max_objs, 4],
+                              device="cpu").repeat(batch, 1, 1)
+        conds = torch.zeros([self.max_objs, self.key_dim],
+                            device="cpu").repeat(batch, 1, 1)
+        return self._set_position(
+            box_out.to(device),
+            masks.to(device),
+            conds.to(device))
+
+
+def load_gligen(sd):
+    sd_k = sd.keys()
+    output_list = []
+    key_dim = 768
+    for a in ["input_blocks", "middle_block", "output_blocks"]:
+        for b in range(20):
+            k_temp = filter(lambda k: "{}.{}.".format(a, b)
+                            in k and ".fuser." in k, sd_k)
+            k_temp = map(lambda k: (k, k.split(".fuser.")[-1]), k_temp)
+
+            n_sd = {}
+            for k in k_temp:
+                n_sd[k[1]] = sd[k[0]]
+            if len(n_sd) > 0:
+                query_dim = n_sd["linear.weight"].shape[0]
+                key_dim = n_sd["linear.weight"].shape[1]
+
+                if key_dim == 768:  # SD1.x
+                    n_heads = 8
+                    d_head = query_dim // n_heads
+                else:
+                    d_head = 64
+                    n_heads = query_dim // d_head
+
+                gated = GatedSelfAttentionDense(
+                    query_dim, key_dim, n_heads, d_head)
+                gated.load_state_dict(n_sd, strict=False)
+                output_list.append(gated)
+
+    if "position_net.null_positive_feature" in sd_k:
+        in_dim = sd["position_net.null_positive_feature"].shape[0]
+        out_dim = sd["position_net.linears.4.weight"].shape[0]
+
+        class WeightsLoader(torch.nn.Module):
+            pass
+        w = WeightsLoader()
+        w.position_net = PositionNet(in_dim, out_dim)
+        w.load_state_dict(sd, strict=False)
+
+    gligen = Gligen(output_list, w.position_net, key_dim)
+    return gligen
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diff --git a/ComfyUI/comfy/k_diffusion/deis.py b/ComfyUI/comfy/k_diffusion/deis.py
new file mode 100644
index 0000000000000000000000000000000000000000..6074106566288434bdfc06e34e77732903c4b81b
--- /dev/null
+++ b/ComfyUI/comfy/k_diffusion/deis.py
@@ -0,0 +1,121 @@
+#Taken from: https://github.com/zju-pi/diff-sampler/blob/main/gits-main/solver_utils.py
+#under Apache 2 license
+import torch
+import numpy as np
+
+# A pytorch reimplementation of DEIS (https://github.com/qsh-zh/deis).
+#############################
+### Utils for DEIS solver ###
+#############################
+#----------------------------------------------------------------------------
+# Transfer from the input time (sigma) used in EDM to that (t) used in DEIS.
+
+def edm2t(edm_steps, epsilon_s=1e-3, sigma_min=0.002, sigma_max=80):
+    vp_sigma = lambda beta_d, beta_min: lambda t: (np.e ** (0.5 * beta_d * (t ** 2) + beta_min * t) - 1) ** 0.5
+    vp_sigma_inv = lambda beta_d, beta_min: lambda sigma: ((beta_min ** 2 + 2 * beta_d * (sigma ** 2 + 1).log()).sqrt() - beta_min) / beta_d
+    vp_beta_d = 2 * (np.log(torch.tensor(sigma_min).cpu() ** 2 + 1) / epsilon_s - np.log(torch.tensor(sigma_max).cpu() ** 2 + 1)) / (epsilon_s - 1)
+    vp_beta_min = np.log(torch.tensor(sigma_max).cpu() ** 2 + 1) - 0.5 * vp_beta_d
+    t_steps = vp_sigma_inv(vp_beta_d.clone().detach().cpu(), vp_beta_min.clone().detach().cpu())(edm_steps.clone().detach().cpu())
+    return t_steps, vp_beta_min, vp_beta_d + vp_beta_min
+
+#----------------------------------------------------------------------------
+
+def cal_poly(prev_t, j, taus):
+    poly = 1
+    for k in range(prev_t.shape[0]):
+        if k == j:
+            continue
+        poly *= (taus - prev_t[k]) / (prev_t[j] - prev_t[k])
+    return poly
+
+#----------------------------------------------------------------------------
+# Transfer from t to alpha_t.
+
+def t2alpha_fn(beta_0, beta_1, t):
+    return torch.exp(-0.5 * t ** 2 * (beta_1 - beta_0) - t * beta_0)
+
+#----------------------------------------------------------------------------
+
+def cal_intergrand(beta_0, beta_1, taus):
+    with torch.inference_mode(mode=False):
+        taus = taus.clone()
+        beta_0 = beta_0.clone()
+        beta_1 = beta_1.clone()
+        with torch.enable_grad():
+            taus.requires_grad_(True)
+            alpha = t2alpha_fn(beta_0, beta_1, taus)
+            log_alpha = alpha.log()
+            log_alpha.sum().backward()
+            d_log_alpha_dtau = taus.grad
+    integrand = -0.5 * d_log_alpha_dtau / torch.sqrt(alpha * (1 - alpha))
+    return integrand
+
+#----------------------------------------------------------------------------
+
+def get_deis_coeff_list(t_steps, max_order, N=10000, deis_mode='tab'):
+    """
+    Get the coefficient list for DEIS sampling.
+
+    Args:
+        t_steps: A pytorch tensor. The time steps for sampling.
+        max_order: A `int`. Maximum order of the solver. 1 <= max_order <= 4
+        N: A `int`. Use how many points to perform the numerical integration when deis_mode=='tab'.
+        deis_mode: A `str`. Select between 'tab' and 'rhoab'. Type of DEIS.
+    Returns:
+        A pytorch tensor. A batch of generated samples or sampling trajectories if return_inters=True.
+    """
+    if deis_mode == 'tab':
+        t_steps, beta_0, beta_1 = edm2t(t_steps)
+        C = []
+        for i, (t_cur, t_next) in enumerate(zip(t_steps[:-1], t_steps[1:])):
+            order = min(i+1, max_order)
+            if order == 1:
+                C.append([])
+            else:
+                taus = torch.linspace(t_cur, t_next, N)   # split the interval for integral appximation
+                dtau = (t_next - t_cur) / N
+                prev_t = t_steps[[i - k for k in range(order)]]
+                coeff_temp = []
+                integrand = cal_intergrand(beta_0, beta_1, taus)
+                for j in range(order):
+                    poly = cal_poly(prev_t, j, taus)
+                    coeff_temp.append(torch.sum(integrand * poly) * dtau)
+                C.append(coeff_temp)
+
+    elif deis_mode == 'rhoab':
+        # Analytical solution, second order
+        def get_def_intergral_2(a, b, start, end, c):
+            coeff = (end**3 - start**3) / 3 - (end**2 - start**2) * (a + b) / 2 + (end - start) * a * b
+            return coeff / ((c - a) * (c - b))
+
+        # Analytical solution, third order
+        def get_def_intergral_3(a, b, c, start, end, d):
+            coeff = (end**4 - start**4) / 4 - (end**3 - start**3) * (a + b + c) / 3 \
+                    + (end**2 - start**2) * (a*b + a*c + b*c) / 2 - (end - start) * a * b * c
+            return coeff / ((d - a) * (d - b) * (d - c))
+
+        C = []
+        for i, (t_cur, t_next) in enumerate(zip(t_steps[:-1], t_steps[1:])):
+            order = min(i, max_order)
+            if order == 0:
+                C.append([])
+            else:
+                prev_t = t_steps[[i - k for k in range(order+1)]]
+                if order == 1:
+                    coeff_cur = ((t_next - prev_t[1])**2 - (t_cur - prev_t[1])**2) / (2 * (t_cur - prev_t[1]))
+                    coeff_prev1 = (t_next - t_cur)**2 / (2 * (prev_t[1] - t_cur))
+                    coeff_temp = [coeff_cur, coeff_prev1]
+                elif order == 2:
+                    coeff_cur = get_def_intergral_2(prev_t[1], prev_t[2], t_cur, t_next, t_cur)
+                    coeff_prev1 = get_def_intergral_2(t_cur, prev_t[2], t_cur, t_next, prev_t[1])
+                    coeff_prev2 = get_def_intergral_2(t_cur, prev_t[1], t_cur, t_next, prev_t[2])
+                    coeff_temp = [coeff_cur, coeff_prev1, coeff_prev2]
+                elif order == 3:
+                    coeff_cur = get_def_intergral_3(prev_t[1], prev_t[2], prev_t[3], t_cur, t_next, t_cur)
+                    coeff_prev1 = get_def_intergral_3(t_cur, prev_t[2], prev_t[3], t_cur, t_next, prev_t[1])
+                    coeff_prev2 = get_def_intergral_3(t_cur, prev_t[1], prev_t[3], t_cur, t_next, prev_t[2])
+                    coeff_prev3 = get_def_intergral_3(t_cur, prev_t[1], prev_t[2], t_cur, t_next, prev_t[3])
+                    coeff_temp = [coeff_cur, coeff_prev1, coeff_prev2, coeff_prev3]
+                C.append(coeff_temp)
+    return C
+
diff --git a/ComfyUI/comfy/k_diffusion/sampling.py b/ComfyUI/comfy/k_diffusion/sampling.py
new file mode 100644
index 0000000000000000000000000000000000000000..385a2516450f1d9c755f347ccc9ee1c2806b583c
--- /dev/null
+++ b/ComfyUI/comfy/k_diffusion/sampling.py
@@ -0,0 +1,1103 @@
+import math
+
+from scipy import integrate
+import torch
+from torch import nn
+import torchsde
+from tqdm.auto import trange, tqdm
+
+from . import utils
+from . import deis
+import comfy.model_patcher
+import comfy.model_sampling
+
+def append_zero(x):
+    return torch.cat([x, x.new_zeros([1])])
+
+
+def get_sigmas_karras(n, sigma_min, sigma_max, rho=7., device='cpu'):
+    """Constructs the noise schedule of Karras et al. (2022)."""
+    ramp = torch.linspace(0, 1, n, device=device)
+    min_inv_rho = sigma_min ** (1 / rho)
+    max_inv_rho = sigma_max ** (1 / rho)
+    sigmas = (max_inv_rho + ramp * (min_inv_rho - max_inv_rho)) ** rho
+    return append_zero(sigmas).to(device)
+
+
+def get_sigmas_exponential(n, sigma_min, sigma_max, device='cpu'):
+    """Constructs an exponential noise schedule."""
+    sigmas = torch.linspace(math.log(sigma_max), math.log(sigma_min), n, device=device).exp()
+    return append_zero(sigmas)
+
+
+def get_sigmas_polyexponential(n, sigma_min, sigma_max, rho=1., device='cpu'):
+    """Constructs an polynomial in log sigma noise schedule."""
+    ramp = torch.linspace(1, 0, n, device=device) ** rho
+    sigmas = torch.exp(ramp * (math.log(sigma_max) - math.log(sigma_min)) + math.log(sigma_min))
+    return append_zero(sigmas)
+
+
+def get_sigmas_vp(n, beta_d=19.9, beta_min=0.1, eps_s=1e-3, device='cpu'):
+    """Constructs a continuous VP noise schedule."""
+    t = torch.linspace(1, eps_s, n, device=device)
+    sigmas = torch.sqrt(torch.exp(beta_d * t ** 2 / 2 + beta_min * t) - 1)
+    return append_zero(sigmas)
+
+
+def to_d(x, sigma, denoised):
+    """Converts a denoiser output to a Karras ODE derivative."""
+    return (x - denoised) / utils.append_dims(sigma, x.ndim)
+
+
+def get_ancestral_step(sigma_from, sigma_to, eta=1.):
+    """Calculates the noise level (sigma_down) to step down to and the amount
+    of noise to add (sigma_up) when doing an ancestral sampling step."""
+    if not eta:
+        return sigma_to, 0.
+    sigma_up = min(sigma_to, eta * (sigma_to ** 2 * (sigma_from ** 2 - sigma_to ** 2) / sigma_from ** 2) ** 0.5)
+    sigma_down = (sigma_to ** 2 - sigma_up ** 2) ** 0.5
+    return sigma_down, sigma_up
+
+
+def default_noise_sampler(x):
+    return lambda sigma, sigma_next: torch.randn_like(x)
+
+
+class BatchedBrownianTree:
+    """A wrapper around torchsde.BrownianTree that enables batches of entropy."""
+
+    def __init__(self, x, t0, t1, seed=None, **kwargs):
+        self.cpu_tree = True
+        if "cpu" in kwargs:
+            self.cpu_tree = kwargs.pop("cpu")
+        t0, t1, self.sign = self.sort(t0, t1)
+        w0 = kwargs.get('w0', torch.zeros_like(x))
+        if seed is None:
+            seed = torch.randint(0, 2 ** 63 - 1, []).item()
+        self.batched = True
+        try:
+            assert len(seed) == x.shape[0]
+            w0 = w0[0]
+        except TypeError:
+            seed = [seed]
+            self.batched = False
+        if self.cpu_tree:
+            self.trees = [torchsde.BrownianTree(t0.cpu(), w0.cpu(), t1.cpu(), entropy=s, **kwargs) for s in seed]
+        else:
+            self.trees = [torchsde.BrownianTree(t0, w0, t1, entropy=s, **kwargs) for s in seed]
+
+    @staticmethod
+    def sort(a, b):
+        return (a, b, 1) if a < b else (b, a, -1)
+
+    def __call__(self, t0, t1):
+        t0, t1, sign = self.sort(t0, t1)
+        if self.cpu_tree:
+            w = torch.stack([tree(t0.cpu().float(), t1.cpu().float()).to(t0.dtype).to(t0.device) for tree in self.trees]) * (self.sign * sign)
+        else:
+            w = torch.stack([tree(t0, t1) for tree in self.trees]) * (self.sign * sign)
+
+        return w if self.batched else w[0]
+
+
+class BrownianTreeNoiseSampler:
+    """A noise sampler backed by a torchsde.BrownianTree.
+
+    Args:
+        x (Tensor): The tensor whose shape, device and dtype to use to generate
+            random samples.
+        sigma_min (float): The low end of the valid interval.
+        sigma_max (float): The high end of the valid interval.
+        seed (int or List[int]): The random seed. If a list of seeds is
+            supplied instead of a single integer, then the noise sampler will
+            use one BrownianTree per batch item, each with its own seed.
+        transform (callable): A function that maps sigma to the sampler's
+            internal timestep.
+    """
+
+    def __init__(self, x, sigma_min, sigma_max, seed=None, transform=lambda x: x, cpu=False):
+        self.transform = transform
+        t0, t1 = self.transform(torch.as_tensor(sigma_min)), self.transform(torch.as_tensor(sigma_max))
+        self.tree = BatchedBrownianTree(x, t0, t1, seed, cpu=cpu)
+
+    def __call__(self, sigma, sigma_next):
+        t0, t1 = self.transform(torch.as_tensor(sigma)), self.transform(torch.as_tensor(sigma_next))
+        return self.tree(t0, t1) / (t1 - t0).abs().sqrt()
+
+
+@torch.no_grad()
+def sample_euler(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.):
+    """Implements Algorithm 2 (Euler steps) from Karras et al. (2022)."""
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+    for i in trange(len(sigmas) - 1, disable=disable):
+        if s_churn > 0:
+            gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0.
+            sigma_hat = sigmas[i] * (gamma + 1)
+        else:
+            gamma = 0
+            sigma_hat = sigmas[i]
+
+        if gamma > 0:
+            eps = torch.randn_like(x) * s_noise
+            x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5
+        denoised = model(x, sigma_hat * s_in, **extra_args)
+        d = to_d(x, sigma_hat, denoised)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised})
+        dt = sigmas[i + 1] - sigma_hat
+        # Euler method
+        x = x + d * dt
+    return x
+
+
+@torch.no_grad()
+def sample_euler_ancestral(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None):
+    """Ancestral sampling with Euler method steps."""
+    extra_args = {} if extra_args is None else extra_args
+    noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
+    s_in = x.new_ones([x.shape[0]])
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        d = to_d(x, sigmas[i], denoised)
+        # Euler method
+        dt = sigma_down - sigmas[i]
+        x = x + d * dt
+        if sigmas[i + 1] > 0:
+            x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up
+    return x
+
+
+@torch.no_grad()
+def sample_heun(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.):
+    """Implements Algorithm 2 (Heun steps) from Karras et al. (2022)."""
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+    for i in trange(len(sigmas) - 1, disable=disable):
+        if s_churn > 0:
+            gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0.
+            sigma_hat = sigmas[i] * (gamma + 1)
+        else:
+            gamma = 0
+            sigma_hat = sigmas[i]
+
+        sigma_hat = sigmas[i] * (gamma + 1)
+        if gamma > 0:
+            eps = torch.randn_like(x) * s_noise
+            x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5
+        denoised = model(x, sigma_hat * s_in, **extra_args)
+        d = to_d(x, sigma_hat, denoised)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised})
+        dt = sigmas[i + 1] - sigma_hat
+        if sigmas[i + 1] == 0:
+            # Euler method
+            x = x + d * dt
+        else:
+            # Heun's method
+            x_2 = x + d * dt
+            denoised_2 = model(x_2, sigmas[i + 1] * s_in, **extra_args)
+            d_2 = to_d(x_2, sigmas[i + 1], denoised_2)
+            d_prime = (d + d_2) / 2
+            x = x + d_prime * dt
+    return x
+
+
+@torch.no_grad()
+def sample_dpm_2(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.):
+    """A sampler inspired by DPM-Solver-2 and Algorithm 2 from Karras et al. (2022)."""
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+    for i in trange(len(sigmas) - 1, disable=disable):
+        if s_churn > 0:
+            gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0.
+            sigma_hat = sigmas[i] * (gamma + 1)
+        else:
+            gamma = 0
+            sigma_hat = sigmas[i]
+
+        if gamma > 0:
+            eps = torch.randn_like(x) * s_noise
+            x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5
+        denoised = model(x, sigma_hat * s_in, **extra_args)
+        d = to_d(x, sigma_hat, denoised)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised})
+        if sigmas[i + 1] == 0:
+            # Euler method
+            dt = sigmas[i + 1] - sigma_hat
+            x = x + d * dt
+        else:
+            # DPM-Solver-2
+            sigma_mid = sigma_hat.log().lerp(sigmas[i + 1].log(), 0.5).exp()
+            dt_1 = sigma_mid - sigma_hat
+            dt_2 = sigmas[i + 1] - sigma_hat
+            x_2 = x + d * dt_1
+            denoised_2 = model(x_2, sigma_mid * s_in, **extra_args)
+            d_2 = to_d(x_2, sigma_mid, denoised_2)
+            x = x + d_2 * dt_2
+    return x
+
+
+@torch.no_grad()
+def sample_dpm_2_ancestral(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None):
+    """Ancestral sampling with DPM-Solver second-order steps."""
+    extra_args = {} if extra_args is None else extra_args
+    noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
+    s_in = x.new_ones([x.shape[0]])
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        d = to_d(x, sigmas[i], denoised)
+        if sigma_down == 0:
+            # Euler method
+            dt = sigma_down - sigmas[i]
+            x = x + d * dt
+        else:
+            # DPM-Solver-2
+            sigma_mid = sigmas[i].log().lerp(sigma_down.log(), 0.5).exp()
+            dt_1 = sigma_mid - sigmas[i]
+            dt_2 = sigma_down - sigmas[i]
+            x_2 = x + d * dt_1
+            denoised_2 = model(x_2, sigma_mid * s_in, **extra_args)
+            d_2 = to_d(x_2, sigma_mid, denoised_2)
+            x = x + d_2 * dt_2
+            x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up
+    return x
+
+
+def linear_multistep_coeff(order, t, i, j):
+    if order - 1 > i:
+        raise ValueError(f'Order {order} too high for step {i}')
+    def fn(tau):
+        prod = 1.
+        for k in range(order):
+            if j == k:
+                continue
+            prod *= (tau - t[i - k]) / (t[i - j] - t[i - k])
+        return prod
+    return integrate.quad(fn, t[i], t[i + 1], epsrel=1e-4)[0]
+
+
+@torch.no_grad()
+def sample_lms(model, x, sigmas, extra_args=None, callback=None, disable=None, order=4):
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+    sigmas_cpu = sigmas.detach().cpu().numpy()
+    ds = []
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        d = to_d(x, sigmas[i], denoised)
+        ds.append(d)
+        if len(ds) > order:
+            ds.pop(0)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        cur_order = min(i + 1, order)
+        coeffs = [linear_multistep_coeff(cur_order, sigmas_cpu, i, j) for j in range(cur_order)]
+        x = x + sum(coeff * d for coeff, d in zip(coeffs, reversed(ds)))
+    return x
+
+
+class PIDStepSizeController:
+    """A PID controller for ODE adaptive step size control."""
+    def __init__(self, h, pcoeff, icoeff, dcoeff, order=1, accept_safety=0.81, eps=1e-8):
+        self.h = h
+        self.b1 = (pcoeff + icoeff + dcoeff) / order
+        self.b2 = -(pcoeff + 2 * dcoeff) / order
+        self.b3 = dcoeff / order
+        self.accept_safety = accept_safety
+        self.eps = eps
+        self.errs = []
+
+    def limiter(self, x):
+        return 1 + math.atan(x - 1)
+
+    def propose_step(self, error):
+        inv_error = 1 / (float(error) + self.eps)
+        if not self.errs:
+            self.errs = [inv_error, inv_error, inv_error]
+        self.errs[0] = inv_error
+        factor = self.errs[0] ** self.b1 * self.errs[1] ** self.b2 * self.errs[2] ** self.b3
+        factor = self.limiter(factor)
+        accept = factor >= self.accept_safety
+        if accept:
+            self.errs[2] = self.errs[1]
+            self.errs[1] = self.errs[0]
+        self.h *= factor
+        return accept
+
+
+class DPMSolver(nn.Module):
+    """DPM-Solver. See https://arxiv.org/abs/2206.00927."""
+
+    def __init__(self, model, extra_args=None, eps_callback=None, info_callback=None):
+        super().__init__()
+        self.model = model
+        self.extra_args = {} if extra_args is None else extra_args
+        self.eps_callback = eps_callback
+        self.info_callback = info_callback
+
+    def t(self, sigma):
+        return -sigma.log()
+
+    def sigma(self, t):
+        return t.neg().exp()
+
+    def eps(self, eps_cache, key, x, t, *args, **kwargs):
+        if key in eps_cache:
+            return eps_cache[key], eps_cache
+        sigma = self.sigma(t) * x.new_ones([x.shape[0]])
+        eps = (x - self.model(x, sigma, *args, **self.extra_args, **kwargs)) / self.sigma(t)
+        if self.eps_callback is not None:
+            self.eps_callback()
+        return eps, {key: eps, **eps_cache}
+
+    def dpm_solver_1_step(self, x, t, t_next, eps_cache=None):
+        eps_cache = {} if eps_cache is None else eps_cache
+        h = t_next - t
+        eps, eps_cache = self.eps(eps_cache, 'eps', x, t)
+        x_1 = x - self.sigma(t_next) * h.expm1() * eps
+        return x_1, eps_cache
+
+    def dpm_solver_2_step(self, x, t, t_next, r1=1 / 2, eps_cache=None):
+        eps_cache = {} if eps_cache is None else eps_cache
+        h = t_next - t
+        eps, eps_cache = self.eps(eps_cache, 'eps', x, t)
+        s1 = t + r1 * h
+        u1 = x - self.sigma(s1) * (r1 * h).expm1() * eps
+        eps_r1, eps_cache = self.eps(eps_cache, 'eps_r1', u1, s1)
+        x_2 = x - self.sigma(t_next) * h.expm1() * eps - self.sigma(t_next) / (2 * r1) * h.expm1() * (eps_r1 - eps)
+        return x_2, eps_cache
+
+    def dpm_solver_3_step(self, x, t, t_next, r1=1 / 3, r2=2 / 3, eps_cache=None):
+        eps_cache = {} if eps_cache is None else eps_cache
+        h = t_next - t
+        eps, eps_cache = self.eps(eps_cache, 'eps', x, t)
+        s1 = t + r1 * h
+        s2 = t + r2 * h
+        u1 = x - self.sigma(s1) * (r1 * h).expm1() * eps
+        eps_r1, eps_cache = self.eps(eps_cache, 'eps_r1', u1, s1)
+        u2 = x - self.sigma(s2) * (r2 * h).expm1() * eps - self.sigma(s2) * (r2 / r1) * ((r2 * h).expm1() / (r2 * h) - 1) * (eps_r1 - eps)
+        eps_r2, eps_cache = self.eps(eps_cache, 'eps_r2', u2, s2)
+        x_3 = x - self.sigma(t_next) * h.expm1() * eps - self.sigma(t_next) / r2 * (h.expm1() / h - 1) * (eps_r2 - eps)
+        return x_3, eps_cache
+
+    def dpm_solver_fast(self, x, t_start, t_end, nfe, eta=0., s_noise=1., noise_sampler=None):
+        noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
+        if not t_end > t_start and eta:
+            raise ValueError('eta must be 0 for reverse sampling')
+
+        m = math.floor(nfe / 3) + 1
+        ts = torch.linspace(t_start, t_end, m + 1, device=x.device)
+
+        if nfe % 3 == 0:
+            orders = [3] * (m - 2) + [2, 1]
+        else:
+            orders = [3] * (m - 1) + [nfe % 3]
+
+        for i in range(len(orders)):
+            eps_cache = {}
+            t, t_next = ts[i], ts[i + 1]
+            if eta:
+                sd, su = get_ancestral_step(self.sigma(t), self.sigma(t_next), eta)
+                t_next_ = torch.minimum(t_end, self.t(sd))
+                su = (self.sigma(t_next) ** 2 - self.sigma(t_next_) ** 2) ** 0.5
+            else:
+                t_next_, su = t_next, 0.
+
+            eps, eps_cache = self.eps(eps_cache, 'eps', x, t)
+            denoised = x - self.sigma(t) * eps
+            if self.info_callback is not None:
+                self.info_callback({'x': x, 'i': i, 't': ts[i], 't_up': t, 'denoised': denoised})
+
+            if orders[i] == 1:
+                x, eps_cache = self.dpm_solver_1_step(x, t, t_next_, eps_cache=eps_cache)
+            elif orders[i] == 2:
+                x, eps_cache = self.dpm_solver_2_step(x, t, t_next_, eps_cache=eps_cache)
+            else:
+                x, eps_cache = self.dpm_solver_3_step(x, t, t_next_, eps_cache=eps_cache)
+
+            x = x + su * s_noise * noise_sampler(self.sigma(t), self.sigma(t_next))
+
+        return x
+
+    def dpm_solver_adaptive(self, x, t_start, t_end, order=3, rtol=0.05, atol=0.0078, h_init=0.05, pcoeff=0., icoeff=1., dcoeff=0., accept_safety=0.81, eta=0., s_noise=1., noise_sampler=None):
+        noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
+        if order not in {2, 3}:
+            raise ValueError('order should be 2 or 3')
+        forward = t_end > t_start
+        if not forward and eta:
+            raise ValueError('eta must be 0 for reverse sampling')
+        h_init = abs(h_init) * (1 if forward else -1)
+        atol = torch.tensor(atol)
+        rtol = torch.tensor(rtol)
+        s = t_start
+        x_prev = x
+        accept = True
+        pid = PIDStepSizeController(h_init, pcoeff, icoeff, dcoeff, 1.5 if eta else order, accept_safety)
+        info = {'steps': 0, 'nfe': 0, 'n_accept': 0, 'n_reject': 0}
+
+        while s < t_end - 1e-5 if forward else s > t_end + 1e-5:
+            eps_cache = {}
+            t = torch.minimum(t_end, s + pid.h) if forward else torch.maximum(t_end, s + pid.h)
+            if eta:
+                sd, su = get_ancestral_step(self.sigma(s), self.sigma(t), eta)
+                t_ = torch.minimum(t_end, self.t(sd))
+                su = (self.sigma(t) ** 2 - self.sigma(t_) ** 2) ** 0.5
+            else:
+                t_, su = t, 0.
+
+            eps, eps_cache = self.eps(eps_cache, 'eps', x, s)
+            denoised = x - self.sigma(s) * eps
+
+            if order == 2:
+                x_low, eps_cache = self.dpm_solver_1_step(x, s, t_, eps_cache=eps_cache)
+                x_high, eps_cache = self.dpm_solver_2_step(x, s, t_, eps_cache=eps_cache)
+            else:
+                x_low, eps_cache = self.dpm_solver_2_step(x, s, t_, r1=1 / 3, eps_cache=eps_cache)
+                x_high, eps_cache = self.dpm_solver_3_step(x, s, t_, eps_cache=eps_cache)
+            delta = torch.maximum(atol, rtol * torch.maximum(x_low.abs(), x_prev.abs()))
+            error = torch.linalg.norm((x_low - x_high) / delta) / x.numel() ** 0.5
+            accept = pid.propose_step(error)
+            if accept:
+                x_prev = x_low
+                x = x_high + su * s_noise * noise_sampler(self.sigma(s), self.sigma(t))
+                s = t
+                info['n_accept'] += 1
+            else:
+                info['n_reject'] += 1
+            info['nfe'] += order
+            info['steps'] += 1
+
+            if self.info_callback is not None:
+                self.info_callback({'x': x, 'i': info['steps'] - 1, 't': s, 't_up': s, 'denoised': denoised, 'error': error, 'h': pid.h, **info})
+
+        return x, info
+
+
+@torch.no_grad()
+def sample_dpm_fast(model, x, sigma_min, sigma_max, n, extra_args=None, callback=None, disable=None, eta=0., s_noise=1., noise_sampler=None):
+    """DPM-Solver-Fast (fixed step size). See https://arxiv.org/abs/2206.00927."""
+    if sigma_min <= 0 or sigma_max <= 0:
+        raise ValueError('sigma_min and sigma_max must not be 0')
+    with tqdm(total=n, disable=disable) as pbar:
+        dpm_solver = DPMSolver(model, extra_args, eps_callback=pbar.update)
+        if callback is not None:
+            dpm_solver.info_callback = lambda info: callback({'sigma': dpm_solver.sigma(info['t']), 'sigma_hat': dpm_solver.sigma(info['t_up']), **info})
+        return dpm_solver.dpm_solver_fast(x, dpm_solver.t(torch.tensor(sigma_max)), dpm_solver.t(torch.tensor(sigma_min)), n, eta, s_noise, noise_sampler)
+
+
+@torch.no_grad()
+def sample_dpm_adaptive(model, x, sigma_min, sigma_max, extra_args=None, callback=None, disable=None, order=3, rtol=0.05, atol=0.0078, h_init=0.05, pcoeff=0., icoeff=1., dcoeff=0., accept_safety=0.81, eta=0., s_noise=1., noise_sampler=None, return_info=False):
+    """DPM-Solver-12 and 23 (adaptive step size). See https://arxiv.org/abs/2206.00927."""
+    if sigma_min <= 0 or sigma_max <= 0:
+        raise ValueError('sigma_min and sigma_max must not be 0')
+    with tqdm(disable=disable) as pbar:
+        dpm_solver = DPMSolver(model, extra_args, eps_callback=pbar.update)
+        if callback is not None:
+            dpm_solver.info_callback = lambda info: callback({'sigma': dpm_solver.sigma(info['t']), 'sigma_hat': dpm_solver.sigma(info['t_up']), **info})
+        x, info = dpm_solver.dpm_solver_adaptive(x, dpm_solver.t(torch.tensor(sigma_max)), dpm_solver.t(torch.tensor(sigma_min)), order, rtol, atol, h_init, pcoeff, icoeff, dcoeff, accept_safety, eta, s_noise, noise_sampler)
+    if return_info:
+        return x, info
+    return x
+
+
+@torch.no_grad()
+def sample_dpmpp_2s_ancestral(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None):
+    if isinstance(model.inner_model.inner_model.model_sampling, comfy.model_sampling.CONST):
+        return sample_dpmpp_2s_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler)
+
+    """Ancestral sampling with DPM-Solver++(2S) second-order steps."""
+    extra_args = {} if extra_args is None else extra_args
+    noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
+    s_in = x.new_ones([x.shape[0]])
+    sigma_fn = lambda t: t.neg().exp()
+    t_fn = lambda sigma: sigma.log().neg()
+
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        if sigma_down == 0:
+            # Euler method
+            d = to_d(x, sigmas[i], denoised)
+            dt = sigma_down - sigmas[i]
+            x = x + d * dt
+        else:
+            # DPM-Solver++(2S)
+            t, t_next = t_fn(sigmas[i]), t_fn(sigma_down)
+            r = 1 / 2
+            h = t_next - t
+            s = t + r * h
+            x_2 = (sigma_fn(s) / sigma_fn(t)) * x - (-h * r).expm1() * denoised
+            denoised_2 = model(x_2, sigma_fn(s) * s_in, **extra_args)
+            x = (sigma_fn(t_next) / sigma_fn(t)) * x - (-h).expm1() * denoised_2
+        # Noise addition
+        if sigmas[i + 1] > 0:
+            x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up
+    return x
+
+
+@torch.no_grad()
+def sample_dpmpp_2s_ancestral_RF(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None):
+    """Ancestral sampling with DPM-Solver++(2S) second-order steps."""
+    extra_args = {} if extra_args is None else extra_args
+    noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
+    s_in = x.new_ones([x.shape[0]])
+    sigma_fn = lambda lbda: (lbda.exp() + 1) ** -1
+    lambda_fn = lambda sigma: ((1-sigma)/sigma).log()
+
+    # logged_x = x.unsqueeze(0)
+
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        downstep_ratio = 1 + (sigmas[i+1]/sigmas[i] - 1) * eta
+        sigma_down = sigmas[i+1] * downstep_ratio
+        alpha_ip1 = 1 - sigmas[i+1]
+        alpha_down = 1 - sigma_down
+        renoise_coeff = (sigmas[i+1]**2 - sigma_down**2*alpha_ip1**2/alpha_down**2)**0.5
+        # sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        if sigmas[i + 1] == 0:
+            # Euler method
+            d = to_d(x, sigmas[i], denoised)
+            dt = sigma_down - sigmas[i]
+            x = x + d * dt
+        else:
+            # DPM-Solver++(2S)
+            if sigmas[i] == 1.0:
+                sigma_s = 0.9999
+            else:
+                t_i, t_down = lambda_fn(sigmas[i]), lambda_fn(sigma_down)
+                r = 1 / 2
+                h = t_down - t_i
+                s = t_i + r * h
+                sigma_s = sigma_fn(s)
+            # sigma_s = sigmas[i+1]
+            sigma_s_i_ratio = sigma_s / sigmas[i]
+            u = sigma_s_i_ratio * x + (1 - sigma_s_i_ratio) * denoised
+            D_i = model(u, sigma_s * s_in, **extra_args)
+            sigma_down_i_ratio = sigma_down / sigmas[i]
+            x = sigma_down_i_ratio * x + (1 - sigma_down_i_ratio) * D_i
+            # print("sigma_i", sigmas[i], "sigma_ip1", sigmas[i+1],"sigma_down", sigma_down, "sigma_down_i_ratio", sigma_down_i_ratio, "sigma_s_i_ratio", sigma_s_i_ratio, "renoise_coeff", renoise_coeff)
+        # Noise addition
+        if sigmas[i + 1] > 0 and eta > 0:
+            x = (alpha_ip1/alpha_down) * x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * renoise_coeff
+        # logged_x = torch.cat((logged_x, x.unsqueeze(0)), dim=0)
+    return x
+
+@torch.no_grad()
+def sample_dpmpp_sde(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, r=1 / 2):
+    """DPM-Solver++ (stochastic)."""
+    if len(sigmas) <= 1:
+        return x
+
+    sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()
+    seed = extra_args.get("seed", None)
+    noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=seed, cpu=True) if noise_sampler is None else noise_sampler
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+    sigma_fn = lambda t: t.neg().exp()
+    t_fn = lambda sigma: sigma.log().neg()
+
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        if sigmas[i + 1] == 0:
+            # Euler method
+            d = to_d(x, sigmas[i], denoised)
+            dt = sigmas[i + 1] - sigmas[i]
+            x = x + d * dt
+        else:
+            # DPM-Solver++
+            t, t_next = t_fn(sigmas[i]), t_fn(sigmas[i + 1])
+            h = t_next - t
+            s = t + h * r
+            fac = 1 / (2 * r)
+
+            # Step 1
+            sd, su = get_ancestral_step(sigma_fn(t), sigma_fn(s), eta)
+            s_ = t_fn(sd)
+            x_2 = (sigma_fn(s_) / sigma_fn(t)) * x - (t - s_).expm1() * denoised
+            x_2 = x_2 + noise_sampler(sigma_fn(t), sigma_fn(s)) * s_noise * su
+            denoised_2 = model(x_2, sigma_fn(s) * s_in, **extra_args)
+
+            # Step 2
+            sd, su = get_ancestral_step(sigma_fn(t), sigma_fn(t_next), eta)
+            t_next_ = t_fn(sd)
+            denoised_d = (1 - fac) * denoised + fac * denoised_2
+            x = (sigma_fn(t_next_) / sigma_fn(t)) * x - (t - t_next_).expm1() * denoised_d
+            x = x + noise_sampler(sigma_fn(t), sigma_fn(t_next)) * s_noise * su
+    return x
+
+
+@torch.no_grad()
+def sample_dpmpp_2m(model, x, sigmas, extra_args=None, callback=None, disable=None):
+    """DPM-Solver++(2M)."""
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+    sigma_fn = lambda t: t.neg().exp()
+    t_fn = lambda sigma: sigma.log().neg()
+    old_denoised = None
+
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        t, t_next = t_fn(sigmas[i]), t_fn(sigmas[i + 1])
+        h = t_next - t
+        if old_denoised is None or sigmas[i + 1] == 0:
+            x = (sigma_fn(t_next) / sigma_fn(t)) * x - (-h).expm1() * denoised
+        else:
+            h_last = t - t_fn(sigmas[i - 1])
+            r = h_last / h
+            denoised_d = (1 + 1 / (2 * r)) * denoised - (1 / (2 * r)) * old_denoised
+            x = (sigma_fn(t_next) / sigma_fn(t)) * x - (-h).expm1() * denoised_d
+        old_denoised = denoised
+    return x
+
+@torch.no_grad()
+def sample_dpmpp_2m_sde(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, solver_type='midpoint'):
+    """DPM-Solver++(2M) SDE."""
+    if len(sigmas) <= 1:
+        return x
+
+    if solver_type not in {'heun', 'midpoint'}:
+        raise ValueError('solver_type must be \'heun\' or \'midpoint\'')
+
+    seed = extra_args.get("seed", None)
+    sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()
+    noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=seed, cpu=True) if noise_sampler is None else noise_sampler
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+
+    old_denoised = None
+    h_last = None
+    h = None
+
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        if sigmas[i + 1] == 0:
+            # Denoising step
+            x = denoised
+        else:
+            # DPM-Solver++(2M) SDE
+            t, s = -sigmas[i].log(), -sigmas[i + 1].log()
+            h = s - t
+            eta_h = eta * h
+
+            x = sigmas[i + 1] / sigmas[i] * (-eta_h).exp() * x + (-h - eta_h).expm1().neg() * denoised
+
+            if old_denoised is not None:
+                r = h_last / h
+                if solver_type == 'heun':
+                    x = x + ((-h - eta_h).expm1().neg() / (-h - eta_h) + 1) * (1 / r) * (denoised - old_denoised)
+                elif solver_type == 'midpoint':
+                    x = x + 0.5 * (-h - eta_h).expm1().neg() * (1 / r) * (denoised - old_denoised)
+
+            if eta:
+                x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * sigmas[i + 1] * (-2 * eta_h).expm1().neg().sqrt() * s_noise
+
+        old_denoised = denoised
+        h_last = h
+    return x
+
+@torch.no_grad()
+def sample_dpmpp_3m_sde(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None):
+    """DPM-Solver++(3M) SDE."""
+
+    if len(sigmas) <= 1:
+        return x
+
+    seed = extra_args.get("seed", None)
+    sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()
+    noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=seed, cpu=True) if noise_sampler is None else noise_sampler
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+
+    denoised_1, denoised_2 = None, None
+    h, h_1, h_2 = None, None, None
+
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        if sigmas[i + 1] == 0:
+            # Denoising step
+            x = denoised
+        else:
+            t, s = -sigmas[i].log(), -sigmas[i + 1].log()
+            h = s - t
+            h_eta = h * (eta + 1)
+
+            x = torch.exp(-h_eta) * x + (-h_eta).expm1().neg() * denoised
+
+            if h_2 is not None:
+                r0 = h_1 / h
+                r1 = h_2 / h
+                d1_0 = (denoised - denoised_1) / r0
+                d1_1 = (denoised_1 - denoised_2) / r1
+                d1 = d1_0 + (d1_0 - d1_1) * r0 / (r0 + r1)
+                d2 = (d1_0 - d1_1) / (r0 + r1)
+                phi_2 = h_eta.neg().expm1() / h_eta + 1
+                phi_3 = phi_2 / h_eta - 0.5
+                x = x + phi_2 * d1 - phi_3 * d2
+            elif h_1 is not None:
+                r = h_1 / h
+                d = (denoised - denoised_1) / r
+                phi_2 = h_eta.neg().expm1() / h_eta + 1
+                x = x + phi_2 * d
+
+            if eta:
+                x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * sigmas[i + 1] * (-2 * h * eta).expm1().neg().sqrt() * s_noise
+
+        denoised_1, denoised_2 = denoised, denoised_1
+        h_1, h_2 = h, h_1
+    return x
+
+@torch.no_grad()
+def sample_dpmpp_3m_sde_gpu(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None):
+    if len(sigmas) <= 1:
+        return x
+
+    sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()
+    noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=extra_args.get("seed", None), cpu=False) if noise_sampler is None else noise_sampler
+    return sample_dpmpp_3m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler)
+
+@torch.no_grad()
+def sample_dpmpp_2m_sde_gpu(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, solver_type='midpoint'):
+    if len(sigmas) <= 1:
+        return x
+
+    sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()
+    noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=extra_args.get("seed", None), cpu=False) if noise_sampler is None else noise_sampler
+    return sample_dpmpp_2m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, solver_type=solver_type)
+
+@torch.no_grad()
+def sample_dpmpp_sde_gpu(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, r=1 / 2):
+    if len(sigmas) <= 1:
+        return x
+
+    sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()
+    noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=extra_args.get("seed", None), cpu=False) if noise_sampler is None else noise_sampler
+    return sample_dpmpp_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, r=r)
+
+
+def DDPMSampler_step(x, sigma, sigma_prev, noise, noise_sampler):
+    alpha_cumprod = 1 / ((sigma * sigma) + 1)
+    alpha_cumprod_prev = 1 / ((sigma_prev * sigma_prev) + 1)
+    alpha = (alpha_cumprod / alpha_cumprod_prev)
+
+    mu = (1.0 / alpha).sqrt() * (x - (1 - alpha) * noise / (1 - alpha_cumprod).sqrt())
+    if sigma_prev > 0:
+        mu += ((1 - alpha) * (1. - alpha_cumprod_prev) / (1. - alpha_cumprod)).sqrt() * noise_sampler(sigma, sigma_prev)
+    return mu
+
+def generic_step_sampler(model, x, sigmas, extra_args=None, callback=None, disable=None, noise_sampler=None, step_function=None):
+    extra_args = {} if extra_args is None else extra_args
+    noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
+    s_in = x.new_ones([x.shape[0]])
+
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        x = step_function(x / torch.sqrt(1.0 + sigmas[i] ** 2.0), sigmas[i], sigmas[i + 1], (x - denoised) / sigmas[i], noise_sampler)
+        if sigmas[i + 1] != 0:
+            x *= torch.sqrt(1.0 + sigmas[i + 1] ** 2.0)
+    return x
+
+
+@torch.no_grad()
+def sample_ddpm(model, x, sigmas, extra_args=None, callback=None, disable=None, noise_sampler=None):
+    return generic_step_sampler(model, x, sigmas, extra_args, callback, disable, noise_sampler, DDPMSampler_step)
+
+@torch.no_grad()
+def sample_lcm(model, x, sigmas, extra_args=None, callback=None, disable=None, noise_sampler=None):
+    extra_args = {} if extra_args is None else extra_args
+    noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
+    s_in = x.new_ones([x.shape[0]])
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+
+        x = denoised
+        if sigmas[i + 1] > 0:
+            x = model.inner_model.inner_model.model_sampling.noise_scaling(sigmas[i + 1], noise_sampler(sigmas[i], sigmas[i + 1]), x)
+    return x
+
+
+
+@torch.no_grad()
+def sample_heunpp2(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.):
+    # From MIT licensed: https://github.com/Carzit/sd-webui-samplers-scheduler/
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+    s_end = sigmas[-1]
+    for i in trange(len(sigmas) - 1, disable=disable):
+        gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0.
+        eps = torch.randn_like(x) * s_noise
+        sigma_hat = sigmas[i] * (gamma + 1)
+        if gamma > 0:
+            x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5
+        denoised = model(x, sigma_hat * s_in, **extra_args)
+        d = to_d(x, sigma_hat, denoised)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised})
+        dt = sigmas[i + 1] - sigma_hat
+        if sigmas[i + 1] == s_end:
+            # Euler method
+            x = x + d * dt
+        elif sigmas[i + 2] == s_end:
+
+            # Heun's method
+            x_2 = x + d * dt
+            denoised_2 = model(x_2, sigmas[i + 1] * s_in, **extra_args)
+            d_2 = to_d(x_2, sigmas[i + 1], denoised_2)
+
+            w = 2 * sigmas[0]
+            w2 = sigmas[i+1]/w
+            w1 = 1 - w2
+
+            d_prime = d * w1 + d_2 * w2
+
+
+            x = x + d_prime * dt
+
+        else:
+            # Heun++
+            x_2 = x + d * dt
+            denoised_2 = model(x_2, sigmas[i + 1] * s_in, **extra_args)
+            d_2 = to_d(x_2, sigmas[i + 1], denoised_2)
+            dt_2 = sigmas[i + 2] - sigmas[i + 1]
+
+            x_3 = x_2 + d_2 * dt_2
+            denoised_3 = model(x_3, sigmas[i + 2] * s_in, **extra_args)
+            d_3 = to_d(x_3, sigmas[i + 2], denoised_3)
+
+            w = 3 * sigmas[0]
+            w2 = sigmas[i + 1] / w
+            w3 = sigmas[i + 2] / w
+            w1 = 1 - w2 - w3
+
+            d_prime = w1 * d + w2 * d_2 + w3 * d_3
+            x = x + d_prime * dt
+    return x
+
+
+#From https://github.com/zju-pi/diff-sampler/blob/main/diff-solvers-main/solvers.py
+#under Apache 2 license
+def sample_ipndm(model, x, sigmas, extra_args=None, callback=None, disable=None, max_order=4):
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+
+    x_next = x
+
+    buffer_model = []
+    for i in trange(len(sigmas) - 1, disable=disable):
+        t_cur = sigmas[i]
+        t_next = sigmas[i + 1]
+
+        x_cur = x_next
+
+        denoised = model(x_cur, t_cur * s_in, **extra_args)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+
+        d_cur = (x_cur - denoised) / t_cur
+
+        order = min(max_order, i+1)
+        if order == 1:      # First Euler step.
+            x_next = x_cur + (t_next - t_cur) * d_cur
+        elif order == 2:    # Use one history point.
+            x_next = x_cur + (t_next - t_cur) * (3 * d_cur - buffer_model[-1]) / 2
+        elif order == 3:    # Use two history points.
+            x_next = x_cur + (t_next - t_cur) * (23 * d_cur - 16 * buffer_model[-1] + 5 * buffer_model[-2]) / 12
+        elif order == 4:    # Use three history points.
+            x_next = x_cur + (t_next - t_cur) * (55 * d_cur - 59 * buffer_model[-1] + 37 * buffer_model[-2] - 9 * buffer_model[-3]) / 24
+
+        if len(buffer_model) == max_order - 1:
+            for k in range(max_order - 2):
+                buffer_model[k] = buffer_model[k+1]
+            buffer_model[-1] = d_cur
+        else:
+            buffer_model.append(d_cur)
+
+    return x_next
+
+#From https://github.com/zju-pi/diff-sampler/blob/main/diff-solvers-main/solvers.py
+#under Apache 2 license
+def sample_ipndm_v(model, x, sigmas, extra_args=None, callback=None, disable=None, max_order=4):
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+
+    x_next = x
+    t_steps = sigmas
+
+    buffer_model = []
+    for i in trange(len(sigmas) - 1, disable=disable):
+        t_cur = sigmas[i]
+        t_next = sigmas[i + 1]
+
+        x_cur = x_next
+
+        denoised = model(x_cur, t_cur * s_in, **extra_args)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+
+        d_cur = (x_cur - denoised) / t_cur
+
+        order = min(max_order, i+1)
+        if order == 1:      # First Euler step.
+            x_next = x_cur + (t_next - t_cur) * d_cur
+        elif order == 2:    # Use one history point.
+            h_n = (t_next - t_cur)
+            h_n_1 = (t_cur - t_steps[i-1])
+            coeff1 = (2 + (h_n / h_n_1)) / 2
+            coeff2 = -(h_n / h_n_1) / 2
+            x_next = x_cur + (t_next - t_cur) * (coeff1 * d_cur + coeff2 * buffer_model[-1])
+        elif order == 3:    # Use two history points.
+            h_n = (t_next - t_cur)
+            h_n_1 = (t_cur - t_steps[i-1])
+            h_n_2 = (t_steps[i-1] - t_steps[i-2])
+            temp = (1 - h_n / (3 * (h_n + h_n_1)) * (h_n * (h_n + h_n_1)) / (h_n_1 * (h_n_1 + h_n_2))) / 2
+            coeff1 = (2 + (h_n / h_n_1)) / 2 + temp
+            coeff2 = -(h_n / h_n_1) / 2 - (1 + h_n_1 / h_n_2) * temp
+            coeff3 = temp * h_n_1 / h_n_2
+            x_next = x_cur + (t_next - t_cur) * (coeff1 * d_cur + coeff2 * buffer_model[-1] + coeff3 * buffer_model[-2])
+        elif order == 4:    # Use three history points.
+            h_n = (t_next - t_cur)
+            h_n_1 = (t_cur - t_steps[i-1])
+            h_n_2 = (t_steps[i-1] - t_steps[i-2])
+            h_n_3 = (t_steps[i-2] - t_steps[i-3])
+            temp1 = (1 - h_n / (3 * (h_n + h_n_1)) * (h_n * (h_n + h_n_1)) / (h_n_1 * (h_n_1 + h_n_2))) / 2
+            temp2 = ((1 - h_n / (3 * (h_n + h_n_1))) / 2 + (1 - h_n / (2 * (h_n + h_n_1))) * h_n / (6 * (h_n + h_n_1 + h_n_2))) \
+                   * (h_n * (h_n + h_n_1) * (h_n + h_n_1 + h_n_2)) / (h_n_1 * (h_n_1 + h_n_2) * (h_n_1 + h_n_2 + h_n_3))
+            coeff1 = (2 + (h_n / h_n_1)) / 2 + temp1 + temp2
+            coeff2 = -(h_n / h_n_1) / 2 - (1 + h_n_1 / h_n_2) * temp1 - (1 + (h_n_1 / h_n_2) + (h_n_1 * (h_n_1 + h_n_2) / (h_n_2 * (h_n_2 + h_n_3)))) * temp2
+            coeff3 = temp1 * h_n_1 / h_n_2 + ((h_n_1 / h_n_2) + (h_n_1 * (h_n_1 + h_n_2) / (h_n_2 * (h_n_2 + h_n_3))) * (1 + h_n_2 / h_n_3)) * temp2
+            coeff4 = -temp2 * (h_n_1 * (h_n_1 + h_n_2) / (h_n_2 * (h_n_2 + h_n_3))) * h_n_1 / h_n_2
+            x_next = x_cur + (t_next - t_cur) * (coeff1 * d_cur + coeff2 * buffer_model[-1] + coeff3 * buffer_model[-2] + coeff4 * buffer_model[-3])
+
+        if len(buffer_model) == max_order - 1:
+            for k in range(max_order - 2):
+                buffer_model[k] = buffer_model[k+1]
+            buffer_model[-1] = d_cur.detach()
+        else:
+            buffer_model.append(d_cur.detach())
+
+    return x_next
+
+#From https://github.com/zju-pi/diff-sampler/blob/main/diff-solvers-main/solvers.py
+#under Apache 2 license
+@torch.no_grad()
+def sample_deis(model, x, sigmas, extra_args=None, callback=None, disable=None, max_order=3, deis_mode='tab'):
+    extra_args = {} if extra_args is None else extra_args
+    s_in = x.new_ones([x.shape[0]])
+
+    x_next = x
+    t_steps = sigmas
+
+    coeff_list = deis.get_deis_coeff_list(t_steps, max_order, deis_mode=deis_mode)
+
+    buffer_model = []
+    for i in trange(len(sigmas) - 1, disable=disable):
+        t_cur = sigmas[i]
+        t_next = sigmas[i + 1]
+
+        x_cur = x_next
+
+        denoised = model(x_cur, t_cur * s_in, **extra_args)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+
+        d_cur = (x_cur - denoised) / t_cur
+
+        order = min(max_order, i+1)
+        if t_next <= 0:
+            order = 1
+
+        if order == 1:          # First Euler step.
+            x_next = x_cur + (t_next - t_cur) * d_cur
+        elif order == 2:        # Use one history point.
+            coeff_cur, coeff_prev1 = coeff_list[i]
+            x_next = x_cur + coeff_cur * d_cur + coeff_prev1 * buffer_model[-1]
+        elif order == 3:        # Use two history points.
+            coeff_cur, coeff_prev1, coeff_prev2 = coeff_list[i]
+            x_next = x_cur + coeff_cur * d_cur + coeff_prev1 * buffer_model[-1] + coeff_prev2 * buffer_model[-2]
+        elif order == 4:        # Use three history points.
+            coeff_cur, coeff_prev1, coeff_prev2, coeff_prev3 = coeff_list[i]
+            x_next = x_cur + coeff_cur * d_cur + coeff_prev1 * buffer_model[-1] + coeff_prev2 * buffer_model[-2] + coeff_prev3 * buffer_model[-3]
+
+        if len(buffer_model) == max_order - 1:
+            for k in range(max_order - 2):
+                buffer_model[k] = buffer_model[k+1]
+            buffer_model[-1] = d_cur.detach()
+        else:
+            buffer_model.append(d_cur.detach())
+
+    return x_next
+
+@torch.no_grad()
+def sample_euler_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None):
+    extra_args = {} if extra_args is None else extra_args
+
+    temp = [0]
+    def post_cfg_function(args):
+        temp[0] = args["uncond_denoised"]
+        return args["denoised"]
+
+    model_options = extra_args.get("model_options", {}).copy()
+    extra_args["model_options"] = comfy.model_patcher.set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=True)
+
+    s_in = x.new_ones([x.shape[0]])
+    for i in trange(len(sigmas) - 1, disable=disable):
+        sigma_hat = sigmas[i]
+        denoised = model(x, sigma_hat * s_in, **extra_args)
+        d = to_d(x, sigma_hat, temp[0])
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised})
+        dt = sigmas[i + 1] - sigma_hat
+        # Euler method
+        x = denoised + d * sigmas[i + 1]
+    return x
+
+@torch.no_grad()
+def sample_euler_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None):
+    """Ancestral sampling with Euler method steps."""
+    extra_args = {} if extra_args is None else extra_args
+    noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
+
+    temp = [0]
+    def post_cfg_function(args):
+        temp[0] = args["uncond_denoised"]
+        return args["denoised"]
+
+    model_options = extra_args.get("model_options", {}).copy()
+    extra_args["model_options"] = comfy.model_patcher.set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=True)
+
+    s_in = x.new_ones([x.shape[0]])
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+        d = to_d(x, sigmas[i], temp[0])
+        # Euler method
+        dt = sigma_down - sigmas[i]
+        x = denoised + d * sigma_down
+        if sigmas[i + 1] > 0:
+            x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up
+    return x
diff --git a/ComfyUI/comfy/k_diffusion/utils.py b/ComfyUI/comfy/k_diffusion/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..a644df2f3cf82b32ac6e9bf2cb7bfc70c95e05f9
--- /dev/null
+++ b/ComfyUI/comfy/k_diffusion/utils.py
@@ -0,0 +1,313 @@
+from contextlib import contextmanager
+import hashlib
+import math
+from pathlib import Path
+import shutil
+import urllib
+import warnings
+
+from PIL import Image
+import torch
+from torch import nn, optim
+from torch.utils import data
+
+
+def hf_datasets_augs_helper(examples, transform, image_key, mode='RGB'):
+    """Apply passed in transforms for HuggingFace Datasets."""
+    images = [transform(image.convert(mode)) for image in examples[image_key]]
+    return {image_key: images}
+
+
+def append_dims(x, target_dims):
+    """Appends dimensions to the end of a tensor until it has target_dims dimensions."""
+    dims_to_append = target_dims - x.ndim
+    if dims_to_append < 0:
+        raise ValueError(f'input has {x.ndim} dims but target_dims is {target_dims}, which is less')
+    expanded = x[(...,) + (None,) * dims_to_append]
+    # MPS will get inf values if it tries to index into the new axes, but detaching fixes this.
+    # https://github.com/pytorch/pytorch/issues/84364
+    return expanded.detach().clone() if expanded.device.type == 'mps' else expanded
+
+
+def n_params(module):
+    """Returns the number of trainable parameters in a module."""
+    return sum(p.numel() for p in module.parameters())
+
+
+def download_file(path, url, digest=None):
+    """Downloads a file if it does not exist, optionally checking its SHA-256 hash."""
+    path = Path(path)
+    path.parent.mkdir(parents=True, exist_ok=True)
+    if not path.exists():
+        with urllib.request.urlopen(url) as response, open(path, 'wb') as f:
+            shutil.copyfileobj(response, f)
+    if digest is not None:
+        file_digest = hashlib.sha256(open(path, 'rb').read()).hexdigest()
+        if digest != file_digest:
+            raise OSError(f'hash of {path} (url: {url}) failed to validate')
+    return path
+
+
+@contextmanager
+def train_mode(model, mode=True):
+    """A context manager that places a model into training mode and restores
+    the previous mode on exit."""
+    modes = [module.training for module in model.modules()]
+    try:
+        yield model.train(mode)
+    finally:
+        for i, module in enumerate(model.modules()):
+            module.training = modes[i]
+
+
+def eval_mode(model):
+    """A context manager that places a model into evaluation mode and restores
+    the previous mode on exit."""
+    return train_mode(model, False)
+
+
+@torch.no_grad()
+def ema_update(model, averaged_model, decay):
+    """Incorporates updated model parameters into an exponential moving averaged
+    version of a model. It should be called after each optimizer step."""
+    model_params = dict(model.named_parameters())
+    averaged_params = dict(averaged_model.named_parameters())
+    assert model_params.keys() == averaged_params.keys()
+
+    for name, param in model_params.items():
+        averaged_params[name].mul_(decay).add_(param, alpha=1 - decay)
+
+    model_buffers = dict(model.named_buffers())
+    averaged_buffers = dict(averaged_model.named_buffers())
+    assert model_buffers.keys() == averaged_buffers.keys()
+
+    for name, buf in model_buffers.items():
+        averaged_buffers[name].copy_(buf)
+
+
+class EMAWarmup:
+    """Implements an EMA warmup using an inverse decay schedule.
+    If inv_gamma=1 and power=1, implements a simple average. inv_gamma=1, power=2/3 are
+    good values for models you plan to train for a million or more steps (reaches decay
+    factor 0.999 at 31.6K steps, 0.9999 at 1M steps), inv_gamma=1, power=3/4 for models
+    you plan to train for less (reaches decay factor 0.999 at 10K steps, 0.9999 at
+    215.4k steps).
+    Args:
+        inv_gamma (float): Inverse multiplicative factor of EMA warmup. Default: 1.
+        power (float): Exponential factor of EMA warmup. Default: 1.
+        min_value (float): The minimum EMA decay rate. Default: 0.
+        max_value (float): The maximum EMA decay rate. Default: 1.
+        start_at (int): The epoch to start averaging at. Default: 0.
+        last_epoch (int): The index of last epoch. Default: 0.
+    """
+
+    def __init__(self, inv_gamma=1., power=1., min_value=0., max_value=1., start_at=0,
+                 last_epoch=0):
+        self.inv_gamma = inv_gamma
+        self.power = power
+        self.min_value = min_value
+        self.max_value = max_value
+        self.start_at = start_at
+        self.last_epoch = last_epoch
+
+    def state_dict(self):
+        """Returns the state of the class as a :class:`dict`."""
+        return dict(self.__dict__.items())
+
+    def load_state_dict(self, state_dict):
+        """Loads the class's state.
+        Args:
+            state_dict (dict): scaler state. Should be an object returned
+                from a call to :meth:`state_dict`.
+        """
+        self.__dict__.update(state_dict)
+
+    def get_value(self):
+        """Gets the current EMA decay rate."""
+        epoch = max(0, self.last_epoch - self.start_at)
+        value = 1 - (1 + epoch / self.inv_gamma) ** -self.power
+        return 0. if epoch < 0 else min(self.max_value, max(self.min_value, value))
+
+    def step(self):
+        """Updates the step count."""
+        self.last_epoch += 1
+
+
+class InverseLR(optim.lr_scheduler._LRScheduler):
+    """Implements an inverse decay learning rate schedule with an optional exponential
+    warmup. When last_epoch=-1, sets initial lr as lr.
+    inv_gamma is the number of steps/epochs required for the learning rate to decay to
+    (1 / 2)**power of its original value.
+    Args:
+        optimizer (Optimizer): Wrapped optimizer.
+        inv_gamma (float): Inverse multiplicative factor of learning rate decay. Default: 1.
+        power (float): Exponential factor of learning rate decay. Default: 1.
+        warmup (float): Exponential warmup factor (0 <= warmup < 1, 0 to disable)
+            Default: 0.
+        min_lr (float): The minimum learning rate. Default: 0.
+        last_epoch (int): The index of last epoch. Default: -1.
+        verbose (bool): If ``True``, prints a message to stdout for
+            each update. Default: ``False``.
+    """
+
+    def __init__(self, optimizer, inv_gamma=1., power=1., warmup=0., min_lr=0.,
+                 last_epoch=-1, verbose=False):
+        self.inv_gamma = inv_gamma
+        self.power = power
+        if not 0. <= warmup < 1:
+            raise ValueError('Invalid value for warmup')
+        self.warmup = warmup
+        self.min_lr = min_lr
+        super().__init__(optimizer, last_epoch, verbose)
+
+    def get_lr(self):
+        if not self._get_lr_called_within_step:
+            warnings.warn("To get the last learning rate computed by the scheduler, "
+                          "please use `get_last_lr()`.")
+
+        return self._get_closed_form_lr()
+
+    def _get_closed_form_lr(self):
+        warmup = 1 - self.warmup ** (self.last_epoch + 1)
+        lr_mult = (1 + self.last_epoch / self.inv_gamma) ** -self.power
+        return [warmup * max(self.min_lr, base_lr * lr_mult)
+                for base_lr in self.base_lrs]
+
+
+class ExponentialLR(optim.lr_scheduler._LRScheduler):
+    """Implements an exponential learning rate schedule with an optional exponential
+    warmup. When last_epoch=-1, sets initial lr as lr. Decays the learning rate
+    continuously by decay (default 0.5) every num_steps steps.
+    Args:
+        optimizer (Optimizer): Wrapped optimizer.
+        num_steps (float): The number of steps to decay the learning rate by decay in.
+        decay (float): The factor by which to decay the learning rate every num_steps
+            steps. Default: 0.5.
+        warmup (float): Exponential warmup factor (0 <= warmup < 1, 0 to disable)
+            Default: 0.
+        min_lr (float): The minimum learning rate. Default: 0.
+        last_epoch (int): The index of last epoch. Default: -1.
+        verbose (bool): If ``True``, prints a message to stdout for
+            each update. Default: ``False``.
+    """
+
+    def __init__(self, optimizer, num_steps, decay=0.5, warmup=0., min_lr=0.,
+                 last_epoch=-1, verbose=False):
+        self.num_steps = num_steps
+        self.decay = decay
+        if not 0. <= warmup < 1:
+            raise ValueError('Invalid value for warmup')
+        self.warmup = warmup
+        self.min_lr = min_lr
+        super().__init__(optimizer, last_epoch, verbose)
+
+    def get_lr(self):
+        if not self._get_lr_called_within_step:
+            warnings.warn("To get the last learning rate computed by the scheduler, "
+                          "please use `get_last_lr()`.")
+
+        return self._get_closed_form_lr()
+
+    def _get_closed_form_lr(self):
+        warmup = 1 - self.warmup ** (self.last_epoch + 1)
+        lr_mult = (self.decay ** (1 / self.num_steps)) ** self.last_epoch
+        return [warmup * max(self.min_lr, base_lr * lr_mult)
+                for base_lr in self.base_lrs]
+
+
+def rand_log_normal(shape, loc=0., scale=1., device='cpu', dtype=torch.float32):
+    """Draws samples from an lognormal distribution."""
+    return (torch.randn(shape, device=device, dtype=dtype) * scale + loc).exp()
+
+
+def rand_log_logistic(shape, loc=0., scale=1., min_value=0., max_value=float('inf'), device='cpu', dtype=torch.float32):
+    """Draws samples from an optionally truncated log-logistic distribution."""
+    min_value = torch.as_tensor(min_value, device=device, dtype=torch.float64)
+    max_value = torch.as_tensor(max_value, device=device, dtype=torch.float64)
+    min_cdf = min_value.log().sub(loc).div(scale).sigmoid()
+    max_cdf = max_value.log().sub(loc).div(scale).sigmoid()
+    u = torch.rand(shape, device=device, dtype=torch.float64) * (max_cdf - min_cdf) + min_cdf
+    return u.logit().mul(scale).add(loc).exp().to(dtype)
+
+
+def rand_log_uniform(shape, min_value, max_value, device='cpu', dtype=torch.float32):
+    """Draws samples from an log-uniform distribution."""
+    min_value = math.log(min_value)
+    max_value = math.log(max_value)
+    return (torch.rand(shape, device=device, dtype=dtype) * (max_value - min_value) + min_value).exp()
+
+
+def rand_v_diffusion(shape, sigma_data=1., min_value=0., max_value=float('inf'), device='cpu', dtype=torch.float32):
+    """Draws samples from a truncated v-diffusion training timestep distribution."""
+    min_cdf = math.atan(min_value / sigma_data) * 2 / math.pi
+    max_cdf = math.atan(max_value / sigma_data) * 2 / math.pi
+    u = torch.rand(shape, device=device, dtype=dtype) * (max_cdf - min_cdf) + min_cdf
+    return torch.tan(u * math.pi / 2) * sigma_data
+
+
+def rand_split_log_normal(shape, loc, scale_1, scale_2, device='cpu', dtype=torch.float32):
+    """Draws samples from a split lognormal distribution."""
+    n = torch.randn(shape, device=device, dtype=dtype).abs()
+    u = torch.rand(shape, device=device, dtype=dtype)
+    n_left = n * -scale_1 + loc
+    n_right = n * scale_2 + loc
+    ratio = scale_1 / (scale_1 + scale_2)
+    return torch.where(u < ratio, n_left, n_right).exp()
+
+
+class FolderOfImages(data.Dataset):
+    """Recursively finds all images in a directory. It does not support
+    classes/targets."""
+
+    IMG_EXTENSIONS = {'.jpg', '.jpeg', '.png', '.ppm', '.bmp', '.pgm', '.tif', '.tiff', '.webp'}
+
+    def __init__(self, root, transform=None):
+        super().__init__()
+        self.root = Path(root)
+        self.transform = nn.Identity() if transform is None else transform
+        self.paths = sorted(path for path in self.root.rglob('*') if path.suffix.lower() in self.IMG_EXTENSIONS)
+
+    def __repr__(self):
+        return f'FolderOfImages(root="{self.root}", len: {len(self)})'
+
+    def __len__(self):
+        return len(self.paths)
+
+    def __getitem__(self, key):
+        path = self.paths[key]
+        with open(path, 'rb') as f:
+            image = Image.open(f).convert('RGB')
+        image = self.transform(image)
+        return image,
+
+
+class CSVLogger:
+    def __init__(self, filename, columns):
+        self.filename = Path(filename)
+        self.columns = columns
+        if self.filename.exists():
+            self.file = open(self.filename, 'a')
+        else:
+            self.file = open(self.filename, 'w')
+            self.write(*self.columns)
+
+    def write(self, *args):
+        print(*args, sep=',', file=self.file, flush=True)
+
+
+@contextmanager
+def tf32_mode(cudnn=None, matmul=None):
+    """A context manager that sets whether TF32 is allowed on cuDNN or matmul."""
+    cudnn_old = torch.backends.cudnn.allow_tf32
+    matmul_old = torch.backends.cuda.matmul.allow_tf32
+    try:
+        if cudnn is not None:
+            torch.backends.cudnn.allow_tf32 = cudnn
+        if matmul is not None:
+            torch.backends.cuda.matmul.allow_tf32 = matmul
+        yield
+    finally:
+        if cudnn is not None:
+            torch.backends.cudnn.allow_tf32 = cudnn_old
+        if matmul is not None:
+            torch.backends.cuda.matmul.allow_tf32 = matmul_old
diff --git a/ComfyUI/comfy/latent_formats.py b/ComfyUI/comfy/latent_formats.py
new file mode 100644
index 0000000000000000000000000000000000000000..ee19faeae743a6e94b3c1de12be5976af133240b
--- /dev/null
+++ b/ComfyUI/comfy/latent_formats.py
@@ -0,0 +1,172 @@
+import torch
+
+class LatentFormat:
+    scale_factor = 1.0
+    latent_channels = 4
+    latent_rgb_factors = None
+    taesd_decoder_name = None
+
+    def process_in(self, latent):
+        return latent * self.scale_factor
+
+    def process_out(self, latent):
+        return latent / self.scale_factor
+
+class SD15(LatentFormat):
+    def __init__(self, scale_factor=0.18215):
+        self.scale_factor = scale_factor
+        self.latent_rgb_factors = [
+                    #   R        G        B
+                    [ 0.3512,  0.2297,  0.3227],
+                    [ 0.3250,  0.4974,  0.2350],
+                    [-0.2829,  0.1762,  0.2721],
+                    [-0.2120, -0.2616, -0.7177]
+                ]
+        self.taesd_decoder_name = "taesd_decoder"
+
+class SDXL(LatentFormat):
+    scale_factor = 0.13025
+
+    def __init__(self):
+        self.latent_rgb_factors = [
+                    #   R        G        B
+                    [ 0.3920,  0.4054,  0.4549],
+                    [-0.2634, -0.0196,  0.0653],
+                    [ 0.0568,  0.1687, -0.0755],
+                    [-0.3112, -0.2359, -0.2076]
+                ]
+        self.taesd_decoder_name = "taesdxl_decoder"
+
+class SDXL_Playground_2_5(LatentFormat):
+    def __init__(self):
+        self.scale_factor = 0.5
+        self.latents_mean = torch.tensor([-1.6574, 1.886, -1.383, 2.5155]).view(1, 4, 1, 1)
+        self.latents_std = torch.tensor([8.4927, 5.9022, 6.5498, 5.2299]).view(1, 4, 1, 1)
+
+        self.latent_rgb_factors = [
+                    #   R        G        B
+                    [ 0.3920,  0.4054,  0.4549],
+                    [-0.2634, -0.0196,  0.0653],
+                    [ 0.0568,  0.1687, -0.0755],
+                    [-0.3112, -0.2359, -0.2076]
+                ]
+        self.taesd_decoder_name = "taesdxl_decoder"
+
+    def process_in(self, latent):
+        latents_mean = self.latents_mean.to(latent.device, latent.dtype)
+        latents_std = self.latents_std.to(latent.device, latent.dtype)
+        return (latent - latents_mean) * self.scale_factor / latents_std
+
+    def process_out(self, latent):
+        latents_mean = self.latents_mean.to(latent.device, latent.dtype)
+        latents_std = self.latents_std.to(latent.device, latent.dtype)
+        return latent * latents_std / self.scale_factor + latents_mean
+
+
+class SD_X4(LatentFormat):
+    def __init__(self):
+        self.scale_factor = 0.08333
+        self.latent_rgb_factors = [
+            [-0.2340, -0.3863, -0.3257],
+            [ 0.0994,  0.0885, -0.0908],
+            [-0.2833, -0.2349, -0.3741],
+            [ 0.2523, -0.0055, -0.1651]
+        ]
+
+class SC_Prior(LatentFormat):
+    latent_channels = 16
+    def __init__(self):
+        self.scale_factor = 1.0
+        self.latent_rgb_factors = [
+            [-0.0326, -0.0204, -0.0127],
+            [-0.1592, -0.0427,  0.0216],
+            [ 0.0873,  0.0638, -0.0020],
+            [-0.0602,  0.0442,  0.1304],
+            [ 0.0800, -0.0313, -0.1796],
+            [-0.0810, -0.0638, -0.1581],
+            [ 0.1791,  0.1180,  0.0967],
+            [ 0.0740,  0.1416,  0.0432],
+            [-0.1745, -0.1888, -0.1373],
+            [ 0.2412,  0.1577,  0.0928],
+            [ 0.1908,  0.0998,  0.0682],
+            [ 0.0209,  0.0365, -0.0092],
+            [ 0.0448, -0.0650, -0.1728],
+            [-0.1658, -0.1045, -0.1308],
+            [ 0.0542,  0.1545,  0.1325],
+            [-0.0352, -0.1672, -0.2541]
+        ]
+
+class SC_B(LatentFormat):
+    def __init__(self):
+        self.scale_factor = 1.0 / 0.43
+        self.latent_rgb_factors = [
+            [ 0.1121,  0.2006,  0.1023],
+            [-0.2093, -0.0222, -0.0195],
+            [-0.3087, -0.1535,  0.0366],
+            [ 0.0290, -0.1574, -0.4078]
+        ]
+
+class SD3(LatentFormat):
+    latent_channels = 16
+    def __init__(self):
+        self.scale_factor = 1.5305
+        self.shift_factor = 0.0609
+        self.latent_rgb_factors = [
+            [-0.0645,  0.0177,  0.1052],
+            [ 0.0028,  0.0312,  0.0650],
+            [ 0.1848,  0.0762,  0.0360],
+            [ 0.0944,  0.0360,  0.0889],
+            [ 0.0897,  0.0506, -0.0364],
+            [-0.0020,  0.1203,  0.0284],
+            [ 0.0855,  0.0118,  0.0283],
+            [-0.0539,  0.0658,  0.1047],
+            [-0.0057,  0.0116,  0.0700],
+            [-0.0412,  0.0281, -0.0039],
+            [ 0.1106,  0.1171,  0.1220],
+            [-0.0248,  0.0682, -0.0481],
+            [ 0.0815,  0.0846,  0.1207],
+            [-0.0120, -0.0055, -0.0867],
+            [-0.0749, -0.0634, -0.0456],
+            [-0.1418, -0.1457, -0.1259]
+        ]
+        self.taesd_decoder_name = "taesd3_decoder"
+
+    def process_in(self, latent):
+        return (latent - self.shift_factor) * self.scale_factor
+
+    def process_out(self, latent):
+        return (latent / self.scale_factor) + self.shift_factor
+
+class StableAudio1(LatentFormat):
+    latent_channels = 64
+
+class Flux(SD3):
+    latent_channels = 16
+    def __init__(self):
+        self.scale_factor = 0.3611
+        self.shift_factor = 0.1159
+        self.latent_rgb_factors =[
+            [-0.0404,  0.0159,  0.0609],
+            [ 0.0043,  0.0298,  0.0850],
+            [ 0.0328, -0.0749, -0.0503],
+            [-0.0245,  0.0085,  0.0549],
+            [ 0.0966,  0.0894,  0.0530],
+            [ 0.0035,  0.0399,  0.0123],
+            [ 0.0583,  0.1184,  0.1262],
+            [-0.0191, -0.0206, -0.0306],
+            [-0.0324,  0.0055,  0.1001],
+            [ 0.0955,  0.0659, -0.0545],
+            [-0.0504,  0.0231, -0.0013],
+            [ 0.0500, -0.0008, -0.0088],
+            [ 0.0982,  0.0941,  0.0976],
+            [-0.1233, -0.0280, -0.0897],
+            [-0.0005, -0.0530, -0.0020],
+            [-0.1273, -0.0932, -0.0680]
+        ]
+        self.taesd_decoder_name = "taef1_decoder"
+
+    def process_in(self, latent):
+        return (latent - self.shift_factor) * self.scale_factor
+
+    def process_out(self, latent):
+        return (latent / self.scale_factor) + self.shift_factor
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diff --git a/ComfyUI/comfy/ldm/audio/autoencoder.py b/ComfyUI/comfy/ldm/audio/autoencoder.py
new file mode 100644
index 0000000000000000000000000000000000000000..8123e66a50074d63bea45591f48e44723dbe5ebf
--- /dev/null
+++ b/ComfyUI/comfy/ldm/audio/autoencoder.py
@@ -0,0 +1,282 @@
+# code adapted from: https://github.com/Stability-AI/stable-audio-tools
+
+import torch
+from torch import nn
+from typing import Literal, Dict, Any
+import math
+import comfy.ops
+ops = comfy.ops.disable_weight_init
+
+def vae_sample(mean, scale):
+        stdev = nn.functional.softplus(scale) + 1e-4
+        var = stdev * stdev
+        logvar = torch.log(var)
+        latents = torch.randn_like(mean) * stdev + mean
+
+        kl = (mean * mean + var - logvar - 1).sum(1).mean()
+
+        return latents, kl
+
+class VAEBottleneck(nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.is_discrete = False
+
+    def encode(self, x, return_info=False, **kwargs):
+        info = {}
+
+        mean, scale = x.chunk(2, dim=1)
+
+        x, kl = vae_sample(mean, scale)
+
+        info["kl"] = kl
+
+        if return_info:
+            return x, info
+        else:
+            return x
+
+    def decode(self, x):
+        return x
+
+
+def snake_beta(x, alpha, beta):
+    return x + (1.0 / (beta + 0.000000001)) * pow(torch.sin(x * alpha), 2)
+
+# Adapted from https://github.com/NVIDIA/BigVGAN/blob/main/activations.py under MIT license
+class SnakeBeta(nn.Module):
+
+    def __init__(self, in_features, alpha=1.0, alpha_trainable=True, alpha_logscale=True):
+        super(SnakeBeta, self).__init__()
+        self.in_features = in_features
+
+        # initialize alpha
+        self.alpha_logscale = alpha_logscale
+        if self.alpha_logscale: # log scale alphas initialized to zeros
+            self.alpha = nn.Parameter(torch.zeros(in_features) * alpha)
+            self.beta = nn.Parameter(torch.zeros(in_features) * alpha)
+        else: # linear scale alphas initialized to ones
+            self.alpha = nn.Parameter(torch.ones(in_features) * alpha)
+            self.beta = nn.Parameter(torch.ones(in_features) * alpha)
+
+        # self.alpha.requires_grad = alpha_trainable
+        # self.beta.requires_grad = alpha_trainable
+
+        self.no_div_by_zero = 0.000000001
+
+    def forward(self, x):
+        alpha = self.alpha.unsqueeze(0).unsqueeze(-1).to(x.device) # line up with x to [B, C, T]
+        beta = self.beta.unsqueeze(0).unsqueeze(-1).to(x.device)
+        if self.alpha_logscale:
+            alpha = torch.exp(alpha)
+            beta = torch.exp(beta)
+        x = snake_beta(x, alpha, beta)
+
+        return x
+
+def WNConv1d(*args, **kwargs):
+    try:
+        return torch.nn.utils.parametrizations.weight_norm(ops.Conv1d(*args, **kwargs))
+    except:
+        return torch.nn.utils.weight_norm(ops.Conv1d(*args, **kwargs)) #support pytorch 2.1 and older
+
+def WNConvTranspose1d(*args, **kwargs):
+    try:
+        return torch.nn.utils.parametrizations.weight_norm(ops.ConvTranspose1d(*args, **kwargs))
+    except:
+        return torch.nn.utils.weight_norm(ops.ConvTranspose1d(*args, **kwargs)) #support pytorch 2.1 and older
+
+def get_activation(activation: Literal["elu", "snake", "none"], antialias=False, channels=None) -> nn.Module:
+    if activation == "elu":
+        act = torch.nn.ELU()
+    elif activation == "snake":
+        act = SnakeBeta(channels)
+    elif activation == "none":
+        act = torch.nn.Identity()
+    else:
+        raise ValueError(f"Unknown activation {activation}")
+
+    if antialias:
+        act = Activation1d(act)
+
+    return act
+
+
+class ResidualUnit(nn.Module):
+    def __init__(self, in_channels, out_channels, dilation, use_snake=False, antialias_activation=False):
+        super().__init__()
+
+        self.dilation = dilation
+
+        padding = (dilation * (7-1)) // 2
+
+        self.layers = nn.Sequential(
+            get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=out_channels),
+            WNConv1d(in_channels=in_channels, out_channels=out_channels,
+                      kernel_size=7, dilation=dilation, padding=padding),
+            get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=out_channels),
+            WNConv1d(in_channels=out_channels, out_channels=out_channels,
+                      kernel_size=1)
+        )
+
+    def forward(self, x):
+        res = x
+
+        #x = checkpoint(self.layers, x)
+        x = self.layers(x)
+
+        return x + res
+
+class EncoderBlock(nn.Module):
+    def __init__(self, in_channels, out_channels, stride, use_snake=False, antialias_activation=False):
+        super().__init__()
+
+        self.layers = nn.Sequential(
+            ResidualUnit(in_channels=in_channels,
+                         out_channels=in_channels, dilation=1, use_snake=use_snake),
+            ResidualUnit(in_channels=in_channels,
+                         out_channels=in_channels, dilation=3, use_snake=use_snake),
+            ResidualUnit(in_channels=in_channels,
+                         out_channels=in_channels, dilation=9, use_snake=use_snake),
+            get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=in_channels),
+            WNConv1d(in_channels=in_channels, out_channels=out_channels,
+                      kernel_size=2*stride, stride=stride, padding=math.ceil(stride/2)),
+        )
+
+    def forward(self, x):
+        return self.layers(x)
+
+class DecoderBlock(nn.Module):
+    def __init__(self, in_channels, out_channels, stride, use_snake=False, antialias_activation=False, use_nearest_upsample=False):
+        super().__init__()
+
+        if use_nearest_upsample:
+            upsample_layer = nn.Sequential(
+                nn.Upsample(scale_factor=stride, mode="nearest"),
+                WNConv1d(in_channels=in_channels,
+                        out_channels=out_channels,
+                        kernel_size=2*stride,
+                        stride=1,
+                        bias=False,
+                        padding='same')
+            )
+        else:
+            upsample_layer = WNConvTranspose1d(in_channels=in_channels,
+                               out_channels=out_channels,
+                               kernel_size=2*stride, stride=stride, padding=math.ceil(stride/2))
+
+        self.layers = nn.Sequential(
+            get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=in_channels),
+            upsample_layer,
+            ResidualUnit(in_channels=out_channels, out_channels=out_channels,
+                         dilation=1, use_snake=use_snake),
+            ResidualUnit(in_channels=out_channels, out_channels=out_channels,
+                         dilation=3, use_snake=use_snake),
+            ResidualUnit(in_channels=out_channels, out_channels=out_channels,
+                         dilation=9, use_snake=use_snake),
+        )
+
+    def forward(self, x):
+        return self.layers(x)
+
+class OobleckEncoder(nn.Module):
+    def __init__(self,
+                 in_channels=2,
+                 channels=128,
+                 latent_dim=32,
+                 c_mults = [1, 2, 4, 8],
+                 strides = [2, 4, 8, 8],
+                 use_snake=False,
+                 antialias_activation=False
+        ):
+        super().__init__()
+
+        c_mults = [1] + c_mults
+
+        self.depth = len(c_mults)
+
+        layers = [
+            WNConv1d(in_channels=in_channels, out_channels=c_mults[0] * channels, kernel_size=7, padding=3)
+        ]
+
+        for i in range(self.depth-1):
+            layers += [EncoderBlock(in_channels=c_mults[i]*channels, out_channels=c_mults[i+1]*channels, stride=strides[i], use_snake=use_snake)]
+
+        layers += [
+            get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=c_mults[-1] * channels),
+            WNConv1d(in_channels=c_mults[-1]*channels, out_channels=latent_dim, kernel_size=3, padding=1)
+        ]
+
+        self.layers = nn.Sequential(*layers)
+
+    def forward(self, x):
+        return self.layers(x)
+
+
+class OobleckDecoder(nn.Module):
+    def __init__(self,
+                 out_channels=2,
+                 channels=128,
+                 latent_dim=32,
+                 c_mults = [1, 2, 4, 8],
+                 strides = [2, 4, 8, 8],
+                 use_snake=False,
+                 antialias_activation=False,
+                 use_nearest_upsample=False,
+                 final_tanh=True):
+        super().__init__()
+
+        c_mults = [1] + c_mults
+
+        self.depth = len(c_mults)
+
+        layers = [
+            WNConv1d(in_channels=latent_dim, out_channels=c_mults[-1]*channels, kernel_size=7, padding=3),
+        ]
+
+        for i in range(self.depth-1, 0, -1):
+            layers += [DecoderBlock(
+                in_channels=c_mults[i]*channels,
+                out_channels=c_mults[i-1]*channels,
+                stride=strides[i-1],
+                use_snake=use_snake,
+                antialias_activation=antialias_activation,
+                use_nearest_upsample=use_nearest_upsample
+                )
+            ]
+
+        layers += [
+            get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=c_mults[0] * channels),
+            WNConv1d(in_channels=c_mults[0] * channels, out_channels=out_channels, kernel_size=7, padding=3, bias=False),
+            nn.Tanh() if final_tanh else nn.Identity()
+        ]
+
+        self.layers = nn.Sequential(*layers)
+
+    def forward(self, x):
+        return self.layers(x)
+
+
+class AudioOobleckVAE(nn.Module):
+    def __init__(self,
+                 in_channels=2,
+                 channels=128,
+                 latent_dim=64,
+                 c_mults = [1, 2, 4, 8, 16],
+                 strides = [2, 4, 4, 8, 8],
+                 use_snake=True,
+                 antialias_activation=False,
+                 use_nearest_upsample=False,
+                 final_tanh=False):
+        super().__init__()
+        self.encoder = OobleckEncoder(in_channels, channels, latent_dim * 2, c_mults, strides, use_snake, antialias_activation)
+        self.decoder = OobleckDecoder(in_channels, channels, latent_dim, c_mults, strides, use_snake, antialias_activation,
+                                      use_nearest_upsample=use_nearest_upsample, final_tanh=final_tanh)
+        self.bottleneck = VAEBottleneck()
+
+    def encode(self, x):
+        return self.bottleneck.encode(self.encoder(x))
+
+    def decode(self, x):
+        return self.decoder(self.bottleneck.decode(x))
+
diff --git a/ComfyUI/comfy/ldm/audio/dit.py b/ComfyUI/comfy/ldm/audio/dit.py
new file mode 100644
index 0000000000000000000000000000000000000000..4d2185be83c5e23c9fea17ba4ffd382c4899daca
--- /dev/null
+++ b/ComfyUI/comfy/ldm/audio/dit.py
@@ -0,0 +1,891 @@
+# code adapted from: https://github.com/Stability-AI/stable-audio-tools
+
+from comfy.ldm.modules.attention import optimized_attention
+import typing as tp
+
+import torch
+
+from einops import rearrange
+from torch import nn
+from torch.nn import functional as F
+import math
+import comfy.ops
+
+class FourierFeatures(nn.Module):
+    def __init__(self, in_features, out_features, std=1., dtype=None, device=None):
+        super().__init__()
+        assert out_features % 2 == 0
+        self.weight = nn.Parameter(torch.empty(
+            [out_features // 2, in_features], dtype=dtype, device=device))
+
+    def forward(self, input):
+        f = 2 * math.pi * input @ comfy.ops.cast_to_input(self.weight.T, input)
+        return torch.cat([f.cos(), f.sin()], dim=-1)
+
+# norms
+class LayerNorm(nn.Module):
+    def __init__(self, dim, bias=False, fix_scale=False, dtype=None, device=None):
+        """
+        bias-less layernorm has been shown to be more stable. most newer models have moved towards rmsnorm, also bias-less
+        """
+        super().__init__()
+
+        self.gamma = nn.Parameter(torch.empty(dim, dtype=dtype, device=device))
+
+        if bias:
+            self.beta = nn.Parameter(torch.empty(dim, dtype=dtype, device=device))
+        else:
+            self.beta = None
+
+    def forward(self, x):
+        beta = self.beta
+        if beta is not None:
+            beta = comfy.ops.cast_to_input(beta, x)
+        return F.layer_norm(x, x.shape[-1:], weight=comfy.ops.cast_to_input(self.gamma, x), bias=beta)
+
+class GLU(nn.Module):
+    def __init__(
+        self,
+        dim_in,
+        dim_out,
+        activation,
+        use_conv = False,
+        conv_kernel_size = 3,
+        dtype=None,
+        device=None,
+        operations=None,
+    ):
+        super().__init__()
+        self.act = activation
+        self.proj = operations.Linear(dim_in, dim_out * 2, dtype=dtype, device=device) if not use_conv else operations.Conv1d(dim_in, dim_out * 2, conv_kernel_size, padding = (conv_kernel_size // 2), dtype=dtype, device=device)
+        self.use_conv = use_conv
+
+    def forward(self, x):
+        if self.use_conv:
+            x = rearrange(x, 'b n d -> b d n')
+            x = self.proj(x)
+            x = rearrange(x, 'b d n -> b n d')
+        else:
+            x = self.proj(x)
+
+        x, gate = x.chunk(2, dim = -1)
+        return x * self.act(gate)
+
+class AbsolutePositionalEmbedding(nn.Module):
+    def __init__(self, dim, max_seq_len):
+        super().__init__()
+        self.scale = dim ** -0.5
+        self.max_seq_len = max_seq_len
+        self.emb = nn.Embedding(max_seq_len, dim)
+
+    def forward(self, x, pos = None, seq_start_pos = None):
+        seq_len, device = x.shape[1], x.device
+        assert seq_len <= self.max_seq_len, f'you are passing in a sequence length of {seq_len} but your absolute positional embedding has a max sequence length of {self.max_seq_len}'
+
+        if pos is None:
+            pos = torch.arange(seq_len, device = device)
+
+        if seq_start_pos is not None:
+            pos = (pos - seq_start_pos[..., None]).clamp(min = 0)
+
+        pos_emb = self.emb(pos)
+        pos_emb = pos_emb * self.scale
+        return pos_emb
+
+class ScaledSinusoidalEmbedding(nn.Module):
+    def __init__(self, dim, theta = 10000):
+        super().__init__()
+        assert (dim % 2) == 0, 'dimension must be divisible by 2'
+        self.scale = nn.Parameter(torch.ones(1) * dim ** -0.5)
+
+        half_dim = dim // 2
+        freq_seq = torch.arange(half_dim).float() / half_dim
+        inv_freq = theta ** -freq_seq
+        self.register_buffer('inv_freq', inv_freq, persistent = False)
+
+    def forward(self, x, pos = None, seq_start_pos = None):
+        seq_len, device = x.shape[1], x.device
+
+        if pos is None:
+            pos = torch.arange(seq_len, device = device)
+
+        if seq_start_pos is not None:
+            pos = pos - seq_start_pos[..., None]
+
+        emb = torch.einsum('i, j -> i j', pos, self.inv_freq)
+        emb = torch.cat((emb.sin(), emb.cos()), dim = -1)
+        return emb * self.scale
+
+class RotaryEmbedding(nn.Module):
+    def __init__(
+        self,
+        dim,
+        use_xpos = False,
+        scale_base = 512,
+        interpolation_factor = 1.,
+        base = 10000,
+        base_rescale_factor = 1.,
+        dtype=None,
+        device=None,
+    ):
+        super().__init__()
+        # proposed by reddit user bloc97, to rescale rotary embeddings to longer sequence length without fine-tuning
+        # has some connection to NTK literature
+        # https://www.reddit.com/r/LocalLLaMA/comments/14lz7j5/ntkaware_scaled_rope_allows_llama_models_to_have/
+        base *= base_rescale_factor ** (dim / (dim - 2))
+
+        # inv_freq = 1. / (base ** (torch.arange(0, dim, 2).float() / dim))
+        self.register_buffer('inv_freq', torch.empty((dim // 2,), device=device, dtype=dtype))
+
+        assert interpolation_factor >= 1.
+        self.interpolation_factor = interpolation_factor
+
+        if not use_xpos:
+            self.register_buffer('scale', None)
+            return
+
+        scale = (torch.arange(0, dim, 2) + 0.4 * dim) / (1.4 * dim)
+
+        self.scale_base = scale_base
+        self.register_buffer('scale', scale)
+
+    def forward_from_seq_len(self, seq_len, device, dtype):
+        # device = self.inv_freq.device
+
+        t = torch.arange(seq_len, device=device, dtype=dtype)
+        return self.forward(t)
+
+    def forward(self, t):
+        # device = self.inv_freq.device
+        device = t.device
+        dtype = t.dtype
+
+        # t = t.to(torch.float32)
+
+        t = t / self.interpolation_factor
+
+        freqs = torch.einsum('i , j -> i j', t, comfy.ops.cast_to_input(self.inv_freq, t))
+        freqs = torch.cat((freqs, freqs), dim = -1)
+
+        if self.scale is None:
+            return freqs, 1.
+
+        power = (torch.arange(seq_len, device = device) - (seq_len // 2)) / self.scale_base
+        scale = comfy.ops.cast_to_input(self.scale, t) ** rearrange(power, 'n -> n 1')
+        scale = torch.cat((scale, scale), dim = -1)
+
+        return freqs, scale
+
+def rotate_half(x):
+    x = rearrange(x, '... (j d) -> ... j d', j = 2)
+    x1, x2 = x.unbind(dim = -2)
+    return torch.cat((-x2, x1), dim = -1)
+
+def apply_rotary_pos_emb(t, freqs, scale = 1):
+    out_dtype = t.dtype
+
+    # cast to float32 if necessary for numerical stability
+    dtype = t.dtype #reduce(torch.promote_types, (t.dtype, freqs.dtype, torch.float32))
+    rot_dim, seq_len = freqs.shape[-1], t.shape[-2]
+    freqs, t = freqs.to(dtype), t.to(dtype)
+    freqs = freqs[-seq_len:, :]
+
+    if t.ndim == 4 and freqs.ndim == 3:
+        freqs = rearrange(freqs, 'b n d -> b 1 n d')
+
+    # partial rotary embeddings, Wang et al. GPT-J
+    t, t_unrotated = t[..., :rot_dim], t[..., rot_dim:]
+    t = (t * freqs.cos() * scale) + (rotate_half(t) * freqs.sin() * scale)
+
+    t, t_unrotated = t.to(out_dtype), t_unrotated.to(out_dtype)
+
+    return torch.cat((t, t_unrotated), dim = -1)
+
+class FeedForward(nn.Module):
+    def __init__(
+        self,
+        dim,
+        dim_out = None,
+        mult = 4,
+        no_bias = False,
+        glu = True,
+        use_conv = False,
+        conv_kernel_size = 3,
+        zero_init_output = True,
+        dtype=None,
+        device=None,
+        operations=None,
+    ):
+        super().__init__()
+        inner_dim = int(dim * mult)
+
+        # Default to SwiGLU
+
+        activation = nn.SiLU()
+
+        dim_out = dim if dim_out is None else dim_out
+
+        if glu:
+            linear_in = GLU(dim, inner_dim, activation, dtype=dtype, device=device, operations=operations)
+        else:
+            linear_in = nn.Sequential(
+                Rearrange('b n d -> b d n') if use_conv else nn.Identity(),
+                operations.Linear(dim, inner_dim, bias = not no_bias, dtype=dtype, device=device) if not use_conv else operations.Conv1d(dim, inner_dim, conv_kernel_size, padding = (conv_kernel_size // 2), bias = not no_bias, dtype=dtype, device=device),
+                Rearrange('b n d -> b d n') if use_conv else nn.Identity(),
+                activation
+            )
+
+        linear_out = operations.Linear(inner_dim, dim_out, bias = not no_bias, dtype=dtype, device=device) if not use_conv else operations.Conv1d(inner_dim, dim_out, conv_kernel_size, padding = (conv_kernel_size // 2), bias = not no_bias, dtype=dtype, device=device)
+
+        # # init last linear layer to 0
+        # if zero_init_output:
+        #     nn.init.zeros_(linear_out.weight)
+        #     if not no_bias:
+        #         nn.init.zeros_(linear_out.bias)
+
+
+        self.ff = nn.Sequential(
+            linear_in,
+            Rearrange('b d n -> b n d') if use_conv else nn.Identity(),
+            linear_out,
+            Rearrange('b n d -> b d n') if use_conv else nn.Identity(),
+        )
+
+    def forward(self, x):
+        return self.ff(x)
+
+class Attention(nn.Module):
+    def __init__(
+        self,
+        dim,
+        dim_heads = 64,
+        dim_context = None,
+        causal = False,
+        zero_init_output=True,
+        qk_norm = False,
+        natten_kernel_size = None,
+        dtype=None,
+        device=None,
+        operations=None,
+    ):
+        super().__init__()
+        self.dim = dim
+        self.dim_heads = dim_heads
+        self.causal = causal
+
+        dim_kv = dim_context if dim_context is not None else dim
+
+        self.num_heads = dim // dim_heads
+        self.kv_heads = dim_kv // dim_heads
+
+        if dim_context is not None:
+            self.to_q = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+            self.to_kv = operations.Linear(dim_kv, dim_kv * 2, bias=False, dtype=dtype, device=device)
+        else:
+            self.to_qkv = operations.Linear(dim, dim * 3, bias=False, dtype=dtype, device=device)
+
+        self.to_out = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+
+        # if zero_init_output:
+        #     nn.init.zeros_(self.to_out.weight)
+
+        self.qk_norm = qk_norm
+
+
+    def forward(
+        self,
+        x,
+        context = None,
+        mask = None,
+        context_mask = None,
+        rotary_pos_emb = None,
+        causal = None
+    ):
+        h, kv_h, has_context = self.num_heads, self.kv_heads, context is not None
+
+        kv_input = context if has_context else x
+
+        if hasattr(self, 'to_q'):
+            # Use separate linear projections for q and k/v
+            q = self.to_q(x)
+            q = rearrange(q, 'b n (h d) -> b h n d', h = h)
+
+            k, v = self.to_kv(kv_input).chunk(2, dim=-1)
+
+            k, v = map(lambda t: rearrange(t, 'b n (h d) -> b h n d', h = kv_h), (k, v))
+        else:
+            # Use fused linear projection
+            q, k, v = self.to_qkv(x).chunk(3, dim=-1)
+            q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> b h n d', h = h), (q, k, v))
+
+        # Normalize q and k for cosine sim attention
+        if self.qk_norm:
+            q = F.normalize(q, dim=-1)
+            k = F.normalize(k, dim=-1)
+
+        if rotary_pos_emb is not None and not has_context:
+            freqs, _ = rotary_pos_emb
+
+            q_dtype = q.dtype
+            k_dtype = k.dtype
+
+            q = q.to(torch.float32)
+            k = k.to(torch.float32)
+            freqs = freqs.to(torch.float32)
+
+            q = apply_rotary_pos_emb(q, freqs)
+            k = apply_rotary_pos_emb(k, freqs)
+
+            q = q.to(q_dtype)
+            k = k.to(k_dtype)
+
+        input_mask = context_mask
+
+        if input_mask is None and not has_context:
+            input_mask = mask
+
+        # determine masking
+        masks = []
+        final_attn_mask = None # The mask that will be applied to the attention matrix, taking all masks into account
+
+        if input_mask is not None:
+            input_mask = rearrange(input_mask, 'b j -> b 1 1 j')
+            masks.append(~input_mask)
+
+        # Other masks will be added here later
+
+        if len(masks) > 0:
+            final_attn_mask = ~or_reduce(masks)
+
+        n, device = q.shape[-2], q.device
+
+        causal = self.causal if causal is None else causal
+
+        if n == 1 and causal:
+            causal = False
+
+        if h != kv_h:
+            # Repeat interleave kv_heads to match q_heads
+            heads_per_kv_head = h // kv_h
+            k, v = map(lambda t: t.repeat_interleave(heads_per_kv_head, dim = 1), (k, v))
+
+        out = optimized_attention(q, k, v, h, skip_reshape=True)
+        out = self.to_out(out)
+
+        if mask is not None:
+            mask = rearrange(mask, 'b n -> b n 1')
+            out = out.masked_fill(~mask, 0.)
+
+        return out
+
+class ConformerModule(nn.Module):
+    def __init__(
+        self,
+        dim,
+        norm_kwargs = {},
+    ):
+
+        super().__init__()
+
+        self.dim = dim
+
+        self.in_norm = LayerNorm(dim, **norm_kwargs)
+        self.pointwise_conv = nn.Conv1d(dim, dim, kernel_size=1, bias=False)
+        self.glu = GLU(dim, dim, nn.SiLU())
+        self.depthwise_conv = nn.Conv1d(dim, dim, kernel_size=17, groups=dim, padding=8, bias=False)
+        self.mid_norm = LayerNorm(dim, **norm_kwargs) # This is a batch norm in the original but I don't like batch norm
+        self.swish = nn.SiLU()
+        self.pointwise_conv_2 = nn.Conv1d(dim, dim, kernel_size=1, bias=False)
+
+    def forward(self, x):
+        x = self.in_norm(x)
+        x = rearrange(x, 'b n d -> b d n')
+        x = self.pointwise_conv(x)
+        x = rearrange(x, 'b d n -> b n d')
+        x = self.glu(x)
+        x = rearrange(x, 'b n d -> b d n')
+        x = self.depthwise_conv(x)
+        x = rearrange(x, 'b d n -> b n d')
+        x = self.mid_norm(x)
+        x = self.swish(x)
+        x = rearrange(x, 'b n d -> b d n')
+        x = self.pointwise_conv_2(x)
+        x = rearrange(x, 'b d n -> b n d')
+
+        return x
+
+class TransformerBlock(nn.Module):
+    def __init__(
+            self,
+            dim,
+            dim_heads = 64,
+            cross_attend = False,
+            dim_context = None,
+            global_cond_dim = None,
+            causal = False,
+            zero_init_branch_outputs = True,
+            conformer = False,
+            layer_ix = -1,
+            remove_norms = False,
+            attn_kwargs = {},
+            ff_kwargs = {},
+            norm_kwargs = {},
+            dtype=None,
+            device=None,
+            operations=None,
+    ):
+
+        super().__init__()
+        self.dim = dim
+        self.dim_heads = dim_heads
+        self.cross_attend = cross_attend
+        self.dim_context = dim_context
+        self.causal = causal
+
+        self.pre_norm = LayerNorm(dim, dtype=dtype, device=device, **norm_kwargs) if not remove_norms else nn.Identity()
+
+        self.self_attn = Attention(
+            dim,
+            dim_heads = dim_heads,
+            causal = causal,
+            zero_init_output=zero_init_branch_outputs,
+            dtype=dtype,
+            device=device,
+            operations=operations,
+            **attn_kwargs
+        )
+
+        if cross_attend:
+            self.cross_attend_norm = LayerNorm(dim, dtype=dtype, device=device, **norm_kwargs) if not remove_norms else nn.Identity()
+            self.cross_attn = Attention(
+                dim,
+                dim_heads = dim_heads,
+                dim_context=dim_context,
+                causal = causal,
+                zero_init_output=zero_init_branch_outputs,
+                dtype=dtype,
+                device=device,
+                operations=operations,
+                **attn_kwargs
+            )
+
+        self.ff_norm = LayerNorm(dim, dtype=dtype, device=device, **norm_kwargs) if not remove_norms else nn.Identity()
+        self.ff = FeedForward(dim, zero_init_output=zero_init_branch_outputs, dtype=dtype, device=device, operations=operations,**ff_kwargs)
+
+        self.layer_ix = layer_ix
+
+        self.conformer = ConformerModule(dim, norm_kwargs=norm_kwargs) if conformer else None
+
+        self.global_cond_dim = global_cond_dim
+
+        if global_cond_dim is not None:
+            self.to_scale_shift_gate = nn.Sequential(
+                nn.SiLU(),
+                nn.Linear(global_cond_dim, dim * 6, bias=False)
+            )
+
+            nn.init.zeros_(self.to_scale_shift_gate[1].weight)
+            #nn.init.zeros_(self.to_scale_shift_gate_self[1].bias)
+
+    def forward(
+        self,
+        x,
+        context = None,
+        global_cond=None,
+        mask = None,
+        context_mask = None,
+        rotary_pos_emb = None
+    ):
+        if self.global_cond_dim is not None and self.global_cond_dim > 0 and global_cond is not None:
+
+            scale_self, shift_self, gate_self, scale_ff, shift_ff, gate_ff = self.to_scale_shift_gate(global_cond).unsqueeze(1).chunk(6, dim = -1)
+
+            # self-attention with adaLN
+            residual = x
+            x = self.pre_norm(x)
+            x = x * (1 + scale_self) + shift_self
+            x = self.self_attn(x, mask = mask, rotary_pos_emb = rotary_pos_emb)
+            x = x * torch.sigmoid(1 - gate_self)
+            x = x + residual
+
+            if context is not None:
+                x = x + self.cross_attn(self.cross_attend_norm(x), context = context, context_mask = context_mask)
+
+            if self.conformer is not None:
+                x = x + self.conformer(x)
+
+            # feedforward with adaLN
+            residual = x
+            x = self.ff_norm(x)
+            x = x * (1 + scale_ff) + shift_ff
+            x = self.ff(x)
+            x = x * torch.sigmoid(1 - gate_ff)
+            x = x + residual
+
+        else:
+            x = x + self.self_attn(self.pre_norm(x), mask = mask, rotary_pos_emb = rotary_pos_emb)
+
+            if context is not None:
+                x = x + self.cross_attn(self.cross_attend_norm(x), context = context, context_mask = context_mask)
+
+            if self.conformer is not None:
+                x = x + self.conformer(x)
+
+            x = x + self.ff(self.ff_norm(x))
+
+        return x
+
+class ContinuousTransformer(nn.Module):
+    def __init__(
+        self,
+        dim,
+        depth,
+        *,
+        dim_in = None,
+        dim_out = None,
+        dim_heads = 64,
+        cross_attend=False,
+        cond_token_dim=None,
+        global_cond_dim=None,
+        causal=False,
+        rotary_pos_emb=True,
+        zero_init_branch_outputs=True,
+        conformer=False,
+        use_sinusoidal_emb=False,
+        use_abs_pos_emb=False,
+        abs_pos_emb_max_length=10000,
+        dtype=None,
+        device=None,
+        operations=None,
+        **kwargs
+        ):
+
+        super().__init__()
+
+        self.dim = dim
+        self.depth = depth
+        self.causal = causal
+        self.layers = nn.ModuleList([])
+
+        self.project_in = operations.Linear(dim_in, dim, bias=False, dtype=dtype, device=device) if dim_in is not None else nn.Identity()
+        self.project_out = operations.Linear(dim, dim_out, bias=False, dtype=dtype, device=device) if dim_out is not None else nn.Identity()
+
+        if rotary_pos_emb:
+            self.rotary_pos_emb = RotaryEmbedding(max(dim_heads // 2, 32), device=device, dtype=dtype)
+        else:
+            self.rotary_pos_emb = None
+
+        self.use_sinusoidal_emb = use_sinusoidal_emb
+        if use_sinusoidal_emb:
+            self.pos_emb = ScaledSinusoidalEmbedding(dim)
+
+        self.use_abs_pos_emb = use_abs_pos_emb
+        if use_abs_pos_emb:
+            self.pos_emb = AbsolutePositionalEmbedding(dim, abs_pos_emb_max_length)
+
+        for i in range(depth):
+            self.layers.append(
+                TransformerBlock(
+                    dim,
+                    dim_heads = dim_heads,
+                    cross_attend = cross_attend,
+                    dim_context = cond_token_dim,
+                    global_cond_dim = global_cond_dim,
+                    causal = causal,
+                    zero_init_branch_outputs = zero_init_branch_outputs,
+                    conformer=conformer,
+                    layer_ix=i,
+                    dtype=dtype,
+                    device=device,
+                    operations=operations,
+                    **kwargs
+                )
+            )
+
+    def forward(
+        self,
+        x,
+        mask = None,
+        prepend_embeds = None,
+        prepend_mask = None,
+        global_cond = None,
+        return_info = False,
+        **kwargs
+    ):
+        batch, seq, device = *x.shape[:2], x.device
+
+        info = {
+            "hidden_states": [],
+        }
+
+        x = self.project_in(x)
+
+        if prepend_embeds is not None:
+            prepend_length, prepend_dim = prepend_embeds.shape[1:]
+
+            assert prepend_dim == x.shape[-1], 'prepend dimension must match sequence dimension'
+
+            x = torch.cat((prepend_embeds, x), dim = -2)
+
+            if prepend_mask is not None or mask is not None:
+                mask = mask if mask is not None else torch.ones((batch, seq), device = device, dtype = torch.bool)
+                prepend_mask = prepend_mask if prepend_mask is not None else torch.ones((batch, prepend_length), device = device, dtype = torch.bool)
+
+                mask = torch.cat((prepend_mask, mask), dim = -1)
+
+        # Attention layers
+
+        if self.rotary_pos_emb is not None:
+            rotary_pos_emb = self.rotary_pos_emb.forward_from_seq_len(x.shape[1], dtype=x.dtype, device=x.device)
+        else:
+            rotary_pos_emb = None
+
+        if self.use_sinusoidal_emb or self.use_abs_pos_emb:
+            x = x + self.pos_emb(x)
+
+        # Iterate over the transformer layers
+        for layer in self.layers:
+            x = layer(x, rotary_pos_emb = rotary_pos_emb, global_cond=global_cond, **kwargs)
+            # x = checkpoint(layer, x, rotary_pos_emb = rotary_pos_emb, global_cond=global_cond, **kwargs)
+
+            if return_info:
+                info["hidden_states"].append(x)
+
+        x = self.project_out(x)
+
+        if return_info:
+            return x, info
+
+        return x
+
+class AudioDiffusionTransformer(nn.Module):
+    def __init__(self,
+        io_channels=64,
+        patch_size=1,
+        embed_dim=1536,
+        cond_token_dim=768,
+        project_cond_tokens=False,
+        global_cond_dim=1536,
+        project_global_cond=True,
+        input_concat_dim=0,
+        prepend_cond_dim=0,
+        depth=24,
+        num_heads=24,
+        transformer_type: tp.Literal["continuous_transformer"] = "continuous_transformer",
+        global_cond_type: tp.Literal["prepend", "adaLN"] = "prepend",
+        audio_model="",
+        dtype=None,
+        device=None,
+        operations=None,
+        **kwargs):
+
+        super().__init__()
+
+        self.dtype = dtype
+        self.cond_token_dim = cond_token_dim
+
+        # Timestep embeddings
+        timestep_features_dim = 256
+
+        self.timestep_features = FourierFeatures(1, timestep_features_dim, dtype=dtype, device=device)
+
+        self.to_timestep_embed = nn.Sequential(
+            operations.Linear(timestep_features_dim, embed_dim, bias=True, dtype=dtype, device=device),
+            nn.SiLU(),
+            operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device),
+        )
+
+        if cond_token_dim > 0:
+            # Conditioning tokens
+
+            cond_embed_dim = cond_token_dim if not project_cond_tokens else embed_dim
+            self.to_cond_embed = nn.Sequential(
+                operations.Linear(cond_token_dim, cond_embed_dim, bias=False, dtype=dtype, device=device),
+                nn.SiLU(),
+                operations.Linear(cond_embed_dim, cond_embed_dim, bias=False, dtype=dtype, device=device)
+            )
+        else:
+            cond_embed_dim = 0
+
+        if global_cond_dim > 0:
+            # Global conditioning
+            global_embed_dim = global_cond_dim if not project_global_cond else embed_dim
+            self.to_global_embed = nn.Sequential(
+                operations.Linear(global_cond_dim, global_embed_dim, bias=False, dtype=dtype, device=device),
+                nn.SiLU(),
+                operations.Linear(global_embed_dim, global_embed_dim, bias=False, dtype=dtype, device=device)
+            )
+
+        if prepend_cond_dim > 0:
+            # Prepend conditioning
+            self.to_prepend_embed = nn.Sequential(
+                operations.Linear(prepend_cond_dim, embed_dim, bias=False, dtype=dtype, device=device),
+                nn.SiLU(),
+                operations.Linear(embed_dim, embed_dim, bias=False, dtype=dtype, device=device)
+            )
+
+        self.input_concat_dim = input_concat_dim
+
+        dim_in = io_channels + self.input_concat_dim
+
+        self.patch_size = patch_size
+
+        # Transformer
+
+        self.transformer_type = transformer_type
+
+        self.global_cond_type = global_cond_type
+
+        if self.transformer_type == "continuous_transformer":
+
+            global_dim = None
+
+            if self.global_cond_type == "adaLN":
+                # The global conditioning is projected to the embed_dim already at this point
+                global_dim = embed_dim
+
+            self.transformer = ContinuousTransformer(
+                dim=embed_dim,
+                depth=depth,
+                dim_heads=embed_dim // num_heads,
+                dim_in=dim_in * patch_size,
+                dim_out=io_channels * patch_size,
+                cross_attend = cond_token_dim > 0,
+                cond_token_dim = cond_embed_dim,
+                global_cond_dim=global_dim,
+                dtype=dtype,
+                device=device,
+                operations=operations,
+                **kwargs
+            )
+        else:
+            raise ValueError(f"Unknown transformer type: {self.transformer_type}")
+
+        self.preprocess_conv = operations.Conv1d(dim_in, dim_in, 1, bias=False, dtype=dtype, device=device)
+        self.postprocess_conv = operations.Conv1d(io_channels, io_channels, 1, bias=False, dtype=dtype, device=device)
+
+    def _forward(
+        self,
+        x,
+        t,
+        mask=None,
+        cross_attn_cond=None,
+        cross_attn_cond_mask=None,
+        input_concat_cond=None,
+        global_embed=None,
+        prepend_cond=None,
+        prepend_cond_mask=None,
+        return_info=False,
+        **kwargs):
+
+        if cross_attn_cond is not None:
+            cross_attn_cond = self.to_cond_embed(cross_attn_cond)
+
+        if global_embed is not None:
+            # Project the global conditioning to the embedding dimension
+            global_embed = self.to_global_embed(global_embed)
+
+        prepend_inputs = None
+        prepend_mask = None
+        prepend_length = 0
+        if prepend_cond is not None:
+            # Project the prepend conditioning to the embedding dimension
+            prepend_cond = self.to_prepend_embed(prepend_cond)
+
+            prepend_inputs = prepend_cond
+            if prepend_cond_mask is not None:
+                prepend_mask = prepend_cond_mask
+
+        if input_concat_cond is not None:
+
+            # Interpolate input_concat_cond to the same length as x
+            if input_concat_cond.shape[2] != x.shape[2]:
+                input_concat_cond = F.interpolate(input_concat_cond, (x.shape[2], ), mode='nearest')
+
+            x = torch.cat([x, input_concat_cond], dim=1)
+
+        # Get the batch of timestep embeddings
+        timestep_embed = self.to_timestep_embed(self.timestep_features(t[:, None]).to(x.dtype)) # (b, embed_dim)
+
+        # Timestep embedding is considered a global embedding. Add to the global conditioning if it exists
+        if global_embed is not None:
+            global_embed = global_embed + timestep_embed
+        else:
+            global_embed = timestep_embed
+
+        # Add the global_embed to the prepend inputs if there is no global conditioning support in the transformer
+        if self.global_cond_type == "prepend":
+            if prepend_inputs is None:
+                # Prepend inputs are just the global embed, and the mask is all ones
+                prepend_inputs = global_embed.unsqueeze(1)
+                prepend_mask = torch.ones((x.shape[0], 1), device=x.device, dtype=torch.bool)
+            else:
+                # Prepend inputs are the prepend conditioning + the global embed
+                prepend_inputs = torch.cat([prepend_inputs, global_embed.unsqueeze(1)], dim=1)
+                prepend_mask = torch.cat([prepend_mask, torch.ones((x.shape[0], 1), device=x.device, dtype=torch.bool)], dim=1)
+
+            prepend_length = prepend_inputs.shape[1]
+
+        x = self.preprocess_conv(x) + x
+
+        x = rearrange(x, "b c t -> b t c")
+
+        extra_args = {}
+
+        if self.global_cond_type == "adaLN":
+            extra_args["global_cond"] = global_embed
+
+        if self.patch_size > 1:
+            x = rearrange(x, "b (t p) c -> b t (c p)", p=self.patch_size)
+
+        if self.transformer_type == "x-transformers":
+            output = self.transformer(x, prepend_embeds=prepend_inputs, context=cross_attn_cond, context_mask=cross_attn_cond_mask, mask=mask, prepend_mask=prepend_mask, **extra_args, **kwargs)
+        elif self.transformer_type == "continuous_transformer":
+            output = self.transformer(x, prepend_embeds=prepend_inputs, context=cross_attn_cond, context_mask=cross_attn_cond_mask, mask=mask, prepend_mask=prepend_mask, return_info=return_info, **extra_args, **kwargs)
+
+            if return_info:
+                output, info = output
+        elif self.transformer_type == "mm_transformer":
+            output = self.transformer(x, context=cross_attn_cond, mask=mask, context_mask=cross_attn_cond_mask, **extra_args, **kwargs)
+
+        output = rearrange(output, "b t c -> b c t")[:,:,prepend_length:]
+
+        if self.patch_size > 1:
+            output = rearrange(output, "b (c p) t -> b c (t p)", p=self.patch_size)
+
+        output = self.postprocess_conv(output) + output
+
+        if return_info:
+            return output, info
+
+        return output
+
+    def forward(
+        self,
+        x,
+        timestep,
+        context=None,
+        context_mask=None,
+        input_concat_cond=None,
+        global_embed=None,
+        negative_global_embed=None,
+        prepend_cond=None,
+        prepend_cond_mask=None,
+        mask=None,
+        return_info=False,
+        control=None,
+        transformer_options={},
+        **kwargs):
+            return self._forward(
+                x,
+                timestep,
+                cross_attn_cond=context,
+                cross_attn_cond_mask=context_mask,
+                input_concat_cond=input_concat_cond,
+                global_embed=global_embed,
+                prepend_cond=prepend_cond,
+                prepend_cond_mask=prepend_cond_mask,
+                mask=mask,
+                return_info=return_info,
+                **kwargs
+            )
diff --git a/ComfyUI/comfy/ldm/audio/embedders.py b/ComfyUI/comfy/ldm/audio/embedders.py
new file mode 100644
index 0000000000000000000000000000000000000000..82a3210c60de10b4294335cd0001cb3e72b68bd6
--- /dev/null
+++ b/ComfyUI/comfy/ldm/audio/embedders.py
@@ -0,0 +1,108 @@
+# code adapted from: https://github.com/Stability-AI/stable-audio-tools
+
+import torch
+import torch.nn as nn
+from torch import Tensor, einsum
+from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, TypeVar, Union
+from einops import rearrange
+import math
+import comfy.ops
+
+class LearnedPositionalEmbedding(nn.Module):
+    """Used for continuous time"""
+
+    def __init__(self, dim: int):
+        super().__init__()
+        assert (dim % 2) == 0
+        half_dim = dim // 2
+        self.weights = nn.Parameter(torch.empty(half_dim))
+
+    def forward(self, x: Tensor) -> Tensor:
+        x = rearrange(x, "b -> b 1")
+        freqs = x * rearrange(self.weights, "d -> 1 d") * 2 * math.pi
+        fouriered = torch.cat((freqs.sin(), freqs.cos()), dim=-1)
+        fouriered = torch.cat((x, fouriered), dim=-1)
+        return fouriered
+
+def TimePositionalEmbedding(dim: int, out_features: int) -> nn.Module:
+    return nn.Sequential(
+        LearnedPositionalEmbedding(dim),
+        comfy.ops.manual_cast.Linear(in_features=dim + 1, out_features=out_features),
+    )
+
+
+class NumberEmbedder(nn.Module):
+    def __init__(
+        self,
+        features: int,
+        dim: int = 256,
+    ):
+        super().__init__()
+        self.features = features
+        self.embedding = TimePositionalEmbedding(dim=dim, out_features=features)
+
+    def forward(self, x: Union[List[float], Tensor]) -> Tensor:
+        if not torch.is_tensor(x):
+            device = next(self.embedding.parameters()).device
+            x = torch.tensor(x, device=device)
+        assert isinstance(x, Tensor)
+        shape = x.shape
+        x = rearrange(x, "... -> (...)")
+        embedding = self.embedding(x)
+        x = embedding.view(*shape, self.features)
+        return x  # type: ignore
+
+
+class Conditioner(nn.Module):
+    def __init__(
+            self,
+            dim: int,
+            output_dim: int,
+            project_out: bool = False
+            ):
+
+        super().__init__()
+
+        self.dim = dim
+        self.output_dim = output_dim
+        self.proj_out = nn.Linear(dim, output_dim) if (dim != output_dim or project_out) else nn.Identity()
+
+    def forward(self, x):
+        raise NotImplementedError()
+
+class NumberConditioner(Conditioner):
+    '''
+        Conditioner that takes a list of floats, normalizes them for a given range, and returns a list of embeddings
+    '''
+    def __init__(self,
+                output_dim: int,
+                min_val: float=0,
+                max_val: float=1
+                ):
+        super().__init__(output_dim, output_dim)
+
+        self.min_val = min_val
+        self.max_val = max_val
+
+        self.embedder = NumberEmbedder(features=output_dim)
+
+    def forward(self, floats, device=None):
+            # Cast the inputs to floats
+            floats = [float(x) for x in floats]
+
+            if device is None:
+                device = next(self.embedder.parameters()).device
+
+            floats = torch.tensor(floats).to(device)
+
+            floats = floats.clamp(self.min_val, self.max_val)
+
+            normalized_floats = (floats - self.min_val) / (self.max_val - self.min_val)
+
+            # Cast floats to same type as embedder
+            embedder_dtype = next(self.embedder.parameters()).dtype
+            normalized_floats = normalized_floats.to(embedder_dtype)
+
+            float_embeds = self.embedder(normalized_floats).unsqueeze(1)
+
+            return [float_embeds, torch.ones(float_embeds.shape[0], 1).to(device)]
diff --git a/ComfyUI/comfy/ldm/aura/__pycache__/mmdit.cpython-310.pyc b/ComfyUI/comfy/ldm/aura/__pycache__/mmdit.cpython-310.pyc
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diff --git a/ComfyUI/comfy/ldm/aura/__pycache__/mmdit.cpython-312.pyc b/ComfyUI/comfy/ldm/aura/__pycache__/mmdit.cpython-312.pyc
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diff --git a/ComfyUI/comfy/ldm/aura/mmdit.py b/ComfyUI/comfy/ldm/aura/mmdit.py
new file mode 100644
index 0000000000000000000000000000000000000000..cd9a421852c9f310818ccff33edfcb37b0e545f9
--- /dev/null
+++ b/ComfyUI/comfy/ldm/aura/mmdit.py
@@ -0,0 +1,478 @@
+#AuraFlow MMDiT
+#Originally written by the AuraFlow Authors
+
+import math
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+from comfy.ldm.modules.attention import optimized_attention
+import comfy.ops
+import comfy.ldm.common_dit
+
+def modulate(x, shift, scale):
+    return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1)
+
+
+def find_multiple(n: int, k: int) -> int:
+    if n % k == 0:
+        return n
+    return n + k - (n % k)
+
+
+class MLP(nn.Module):
+    def __init__(self, dim, hidden_dim=None, dtype=None, device=None, operations=None) -> None:
+        super().__init__()
+        if hidden_dim is None:
+            hidden_dim = 4 * dim
+
+        n_hidden = int(2 * hidden_dim / 3)
+        n_hidden = find_multiple(n_hidden, 256)
+
+        self.c_fc1 = operations.Linear(dim, n_hidden, bias=False, dtype=dtype, device=device)
+        self.c_fc2 = operations.Linear(dim, n_hidden, bias=False, dtype=dtype, device=device)
+        self.c_proj = operations.Linear(n_hidden, dim, bias=False, dtype=dtype, device=device)
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        x = F.silu(self.c_fc1(x)) * self.c_fc2(x)
+        x = self.c_proj(x)
+        return x
+
+
+class MultiHeadLayerNorm(nn.Module):
+    def __init__(self, hidden_size=None, eps=1e-5, dtype=None, device=None):
+        # Copy pasta from https://github.com/huggingface/transformers/blob/e5f71ecaae50ea476d1e12351003790273c4b2ed/src/transformers/models/cohere/modeling_cohere.py#L78
+
+        super().__init__()
+        self.weight = nn.Parameter(torch.empty(hidden_size, dtype=dtype, device=device))
+        self.variance_epsilon = eps
+
+    def forward(self, hidden_states):
+        input_dtype = hidden_states.dtype
+        hidden_states = hidden_states.to(torch.float32)
+        mean = hidden_states.mean(-1, keepdim=True)
+        variance = (hidden_states - mean).pow(2).mean(-1, keepdim=True)
+        hidden_states = (hidden_states - mean) * torch.rsqrt(
+            variance + self.variance_epsilon
+        )
+        hidden_states = self.weight.to(torch.float32) * hidden_states
+        return hidden_states.to(input_dtype)
+
+class SingleAttention(nn.Module):
+    def __init__(self, dim, n_heads, mh_qknorm=False, dtype=None, device=None, operations=None):
+        super().__init__()
+
+        self.n_heads = n_heads
+        self.head_dim = dim // n_heads
+
+        # this is for cond
+        self.w1q = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+        self.w1k = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+        self.w1v = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+        self.w1o = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+
+        self.q_norm1 = (
+            MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device)
+            if mh_qknorm
+            else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device)
+        )
+        self.k_norm1 = (
+            MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device)
+            if mh_qknorm
+            else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device)
+        )
+
+    #@torch.compile()
+    def forward(self, c):
+
+        bsz, seqlen1, _ = c.shape
+
+        q, k, v = self.w1q(c), self.w1k(c), self.w1v(c)
+        q = q.view(bsz, seqlen1, self.n_heads, self.head_dim)
+        k = k.view(bsz, seqlen1, self.n_heads, self.head_dim)
+        v = v.view(bsz, seqlen1, self.n_heads, self.head_dim)
+        q, k = self.q_norm1(q), self.k_norm1(k)
+
+        output = optimized_attention(q.permute(0, 2, 1, 3), k.permute(0, 2, 1, 3), v.permute(0, 2, 1, 3), self.n_heads, skip_reshape=True)
+        c = self.w1o(output)
+        return c
+
+
+
+class DoubleAttention(nn.Module):
+    def __init__(self, dim, n_heads, mh_qknorm=False, dtype=None, device=None, operations=None):
+        super().__init__()
+
+        self.n_heads = n_heads
+        self.head_dim = dim // n_heads
+
+        # this is for cond
+        self.w1q = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+        self.w1k = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+        self.w1v = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+        self.w1o = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+
+        # this is for x
+        self.w2q = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+        self.w2k = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+        self.w2v = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+        self.w2o = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device)
+
+        self.q_norm1 = (
+            MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device)
+            if mh_qknorm
+            else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device)
+        )
+        self.k_norm1 = (
+            MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device)
+            if mh_qknorm
+            else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device)
+        )
+
+        self.q_norm2 = (
+            MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device)
+            if mh_qknorm
+            else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device)
+        )
+        self.k_norm2 = (
+            MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device)
+            if mh_qknorm
+            else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device)
+        )
+
+
+    #@torch.compile()
+    def forward(self, c, x):
+
+        bsz, seqlen1, _ = c.shape
+        bsz, seqlen2, _ = x.shape
+        seqlen = seqlen1 + seqlen2
+
+        cq, ck, cv = self.w1q(c), self.w1k(c), self.w1v(c)
+        cq = cq.view(bsz, seqlen1, self.n_heads, self.head_dim)
+        ck = ck.view(bsz, seqlen1, self.n_heads, self.head_dim)
+        cv = cv.view(bsz, seqlen1, self.n_heads, self.head_dim)
+        cq, ck = self.q_norm1(cq), self.k_norm1(ck)
+
+        xq, xk, xv = self.w2q(x), self.w2k(x), self.w2v(x)
+        xq = xq.view(bsz, seqlen2, self.n_heads, self.head_dim)
+        xk = xk.view(bsz, seqlen2, self.n_heads, self.head_dim)
+        xv = xv.view(bsz, seqlen2, self.n_heads, self.head_dim)
+        xq, xk = self.q_norm2(xq), self.k_norm2(xk)
+
+        # concat all
+        q, k, v = (
+            torch.cat([cq, xq], dim=1),
+            torch.cat([ck, xk], dim=1),
+            torch.cat([cv, xv], dim=1),
+        )
+
+        output = optimized_attention(q.permute(0, 2, 1, 3), k.permute(0, 2, 1, 3), v.permute(0, 2, 1, 3), self.n_heads, skip_reshape=True)
+
+        c, x = output.split([seqlen1, seqlen2], dim=1)
+        c = self.w1o(c)
+        x = self.w2o(x)
+
+        return c, x
+
+
+class MMDiTBlock(nn.Module):
+    def __init__(self, dim, heads=8, global_conddim=1024, is_last=False, dtype=None, device=None, operations=None):
+        super().__init__()
+
+        self.normC1 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device)
+        self.normC2 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device)
+        if not is_last:
+            self.mlpC = MLP(dim, hidden_dim=dim * 4, dtype=dtype, device=device, operations=operations)
+            self.modC = nn.Sequential(
+                nn.SiLU(),
+                operations.Linear(global_conddim, 6 * dim, bias=False, dtype=dtype, device=device),
+            )
+        else:
+            self.modC = nn.Sequential(
+                nn.SiLU(),
+                operations.Linear(global_conddim, 2 * dim, bias=False, dtype=dtype, device=device),
+            )
+
+        self.normX1 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device)
+        self.normX2 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device)
+        self.mlpX = MLP(dim, hidden_dim=dim * 4, dtype=dtype, device=device, operations=operations)
+        self.modX = nn.Sequential(
+            nn.SiLU(),
+            operations.Linear(global_conddim, 6 * dim, bias=False, dtype=dtype, device=device),
+        )
+
+        self.attn = DoubleAttention(dim, heads, dtype=dtype, device=device, operations=operations)
+        self.is_last = is_last
+
+    #@torch.compile()
+    def forward(self, c, x, global_cond, **kwargs):
+
+        cres, xres = c, x
+
+        cshift_msa, cscale_msa, cgate_msa, cshift_mlp, cscale_mlp, cgate_mlp = (
+            self.modC(global_cond).chunk(6, dim=1)
+        )
+
+        c = modulate(self.normC1(c), cshift_msa, cscale_msa)
+
+        # xpath
+        xshift_msa, xscale_msa, xgate_msa, xshift_mlp, xscale_mlp, xgate_mlp = (
+            self.modX(global_cond).chunk(6, dim=1)
+        )
+
+        x = modulate(self.normX1(x), xshift_msa, xscale_msa)
+
+        # attention
+        c, x = self.attn(c, x)
+
+
+        c = self.normC2(cres + cgate_msa.unsqueeze(1) * c)
+        c = cgate_mlp.unsqueeze(1) * self.mlpC(modulate(c, cshift_mlp, cscale_mlp))
+        c = cres + c
+
+        x = self.normX2(xres + xgate_msa.unsqueeze(1) * x)
+        x = xgate_mlp.unsqueeze(1) * self.mlpX(modulate(x, xshift_mlp, xscale_mlp))
+        x = xres + x
+
+        return c, x
+
+class DiTBlock(nn.Module):
+    # like MMDiTBlock, but it only has X
+    def __init__(self, dim, heads=8, global_conddim=1024, dtype=None, device=None, operations=None):
+        super().__init__()
+
+        self.norm1 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device)
+        self.norm2 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device)
+
+        self.modCX = nn.Sequential(
+            nn.SiLU(),
+            operations.Linear(global_conddim, 6 * dim, bias=False, dtype=dtype, device=device),
+        )
+
+        self.attn = SingleAttention(dim, heads, dtype=dtype, device=device, operations=operations)
+        self.mlp = MLP(dim, hidden_dim=dim * 4, dtype=dtype, device=device, operations=operations)
+
+    #@torch.compile()
+    def forward(self, cx, global_cond, **kwargs):
+        cxres = cx
+        shift_msa, scale_msa, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.modCX(
+            global_cond
+        ).chunk(6, dim=1)
+        cx = modulate(self.norm1(cx), shift_msa, scale_msa)
+        cx = self.attn(cx)
+        cx = self.norm2(cxres + gate_msa.unsqueeze(1) * cx)
+        mlpout = self.mlp(modulate(cx, shift_mlp, scale_mlp))
+        cx = gate_mlp.unsqueeze(1) * mlpout
+
+        cx = cxres + cx
+
+        return cx
+
+
+
+class TimestepEmbedder(nn.Module):
+    def __init__(self, hidden_size, frequency_embedding_size=256, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.mlp = nn.Sequential(
+            operations.Linear(frequency_embedding_size, hidden_size, dtype=dtype, device=device),
+            nn.SiLU(),
+            operations.Linear(hidden_size, hidden_size, dtype=dtype, device=device),
+        )
+        self.frequency_embedding_size = frequency_embedding_size
+
+    @staticmethod
+    def timestep_embedding(t, dim, max_period=10000):
+        half = dim // 2
+        freqs = 1000 * torch.exp(
+            -math.log(max_period) * torch.arange(start=0, end=half) / half
+        ).to(t.device)
+        args = t[:, None] * freqs[None]
+        embedding = torch.cat([torch.cos(args), torch.sin(args)], dim=-1)
+        if dim % 2:
+            embedding = torch.cat(
+                [embedding, torch.zeros_like(embedding[:, :1])], dim=-1
+            )
+        return embedding
+
+    #@torch.compile()
+    def forward(self, t, dtype):
+        t_freq = self.timestep_embedding(t, self.frequency_embedding_size).to(dtype)
+        t_emb = self.mlp(t_freq)
+        return t_emb
+
+
+class MMDiT(nn.Module):
+    def __init__(
+        self,
+        in_channels=4,
+        out_channels=4,
+        patch_size=2,
+        dim=3072,
+        n_layers=36,
+        n_double_layers=4,
+        n_heads=12,
+        global_conddim=3072,
+        cond_seq_dim=2048,
+        max_seq=32 * 32,
+        device=None,
+        dtype=None,
+        operations=None,
+    ):
+        super().__init__()
+        self.dtype = dtype
+
+        self.t_embedder = TimestepEmbedder(global_conddim, dtype=dtype, device=device, operations=operations)
+
+        self.cond_seq_linear = operations.Linear(
+            cond_seq_dim, dim, bias=False, dtype=dtype, device=device
+        )  # linear for something like text sequence.
+        self.init_x_linear = operations.Linear(
+            patch_size * patch_size * in_channels, dim, dtype=dtype, device=device
+        )  # init linear for patchified image.
+
+        self.positional_encoding = nn.Parameter(torch.empty(1, max_seq, dim, dtype=dtype, device=device))
+        self.register_tokens = nn.Parameter(torch.empty(1, 8, dim, dtype=dtype, device=device))
+
+        self.double_layers = nn.ModuleList([])
+        self.single_layers = nn.ModuleList([])
+
+
+        for idx in range(n_double_layers):
+            self.double_layers.append(
+                MMDiTBlock(dim, n_heads, global_conddim, is_last=(idx == n_layers - 1), dtype=dtype, device=device, operations=operations)
+            )
+
+        for idx in range(n_double_layers, n_layers):
+            self.single_layers.append(
+                DiTBlock(dim, n_heads, global_conddim, dtype=dtype, device=device, operations=operations)
+            )
+
+
+        self.final_linear = operations.Linear(
+            dim, patch_size * patch_size * out_channels, bias=False, dtype=dtype, device=device
+        )
+
+        self.modF = nn.Sequential(
+            nn.SiLU(),
+            operations.Linear(global_conddim, 2 * dim, bias=False, dtype=dtype, device=device),
+        )
+
+        self.out_channels = out_channels
+        self.patch_size = patch_size
+        self.n_double_layers = n_double_layers
+        self.n_layers = n_layers
+
+        self.h_max = round(max_seq**0.5)
+        self.w_max = round(max_seq**0.5)
+
+    @torch.no_grad()
+    def extend_pe(self, init_dim=(16, 16), target_dim=(64, 64)):
+        # extend pe
+        pe_data = self.positional_encoding.data.squeeze(0)[: init_dim[0] * init_dim[1]]
+
+        pe_as_2d = pe_data.view(init_dim[0], init_dim[1], -1).permute(2, 0, 1)
+
+        # now we need to extend this to target_dim. for this we will use interpolation.
+        # we will use torch.nn.functional.interpolate
+        pe_as_2d = F.interpolate(
+            pe_as_2d.unsqueeze(0), size=target_dim, mode="bilinear"
+        )
+        pe_new = pe_as_2d.squeeze(0).permute(1, 2, 0).flatten(0, 1)
+        self.positional_encoding.data = pe_new.unsqueeze(0).contiguous()
+        self.h_max, self.w_max = target_dim
+        print("PE extended to", target_dim)
+
+    def pe_selection_index_based_on_dim(self, h, w):
+        h_p, w_p = h // self.patch_size, w // self.patch_size
+        original_pe_indexes = torch.arange(self.positional_encoding.shape[1])
+        original_pe_indexes = original_pe_indexes.view(self.h_max, self.w_max)
+        starth =  self.h_max // 2 - h_p // 2
+        endh =starth + h_p
+        startw = self.w_max // 2 - w_p // 2
+        endw = startw + w_p
+        original_pe_indexes = original_pe_indexes[
+            starth:endh, startw:endw
+        ]
+        return original_pe_indexes.flatten()
+
+    def unpatchify(self, x, h, w):
+        c = self.out_channels
+        p = self.patch_size
+
+        x = x.reshape(shape=(x.shape[0], h, w, p, p, c))
+        x = torch.einsum("nhwpqc->nchpwq", x)
+        imgs = x.reshape(shape=(x.shape[0], c, h * p, w * p))
+        return imgs
+
+    def patchify(self, x):
+        B, C, H, W = x.size()
+        x = comfy.ldm.common_dit.pad_to_patch_size(x, (self.patch_size, self.patch_size))
+        x = x.view(
+            B,
+            C,
+            (H + 1) // self.patch_size,
+            self.patch_size,
+            (W + 1) // self.patch_size,
+            self.patch_size,
+        )
+        x = x.permute(0, 2, 4, 1, 3, 5).flatten(-3).flatten(1, 2)
+        return x
+
+    def apply_pos_embeds(self, x, h, w):
+        h = (h + 1) // self.patch_size
+        w = (w + 1) // self.patch_size
+        max_dim = max(h, w)
+
+        cur_dim = self.h_max
+        pos_encoding = comfy.ops.cast_to_input(self.positional_encoding.reshape(1, cur_dim, cur_dim, -1), x)
+
+        if max_dim > cur_dim:
+            pos_encoding = F.interpolate(pos_encoding.movedim(-1, 1), (max_dim, max_dim), mode="bilinear").movedim(1, -1)
+            cur_dim = max_dim
+
+        from_h = (cur_dim - h) // 2
+        from_w = (cur_dim - w) // 2
+        pos_encoding = pos_encoding[:,from_h:from_h+h,from_w:from_w+w]
+        return x + pos_encoding.reshape(1, -1, self.positional_encoding.shape[-1])
+
+    def forward(self, x, timestep, context, **kwargs):
+        # patchify x, add PE
+        b, c, h, w = x.shape
+
+        # pe_indexes = self.pe_selection_index_based_on_dim(h, w)
+        # print(pe_indexes, pe_indexes.shape)
+
+        x = self.init_x_linear(self.patchify(x))  # B, T_x, D
+        x = self.apply_pos_embeds(x, h, w)
+        # x = x + self.positional_encoding[:, : x.size(1)].to(device=x.device, dtype=x.dtype)
+        # x = x + self.positional_encoding[:, pe_indexes].to(device=x.device, dtype=x.dtype)
+
+        # process conditions for MMDiT Blocks
+        c_seq = context  # B, T_c, D_c
+        t = timestep
+
+        c = self.cond_seq_linear(c_seq)  # B, T_c, D
+        c = torch.cat([comfy.ops.cast_to_input(self.register_tokens, c).repeat(c.size(0), 1, 1), c], dim=1)
+
+        global_cond = self.t_embedder(t, x.dtype)  # B, D
+
+        if len(self.double_layers) > 0:
+            for layer in self.double_layers:
+                c, x = layer(c, x, global_cond, **kwargs)
+
+        if len(self.single_layers) > 0:
+            c_len = c.size(1)
+            cx = torch.cat([c, x], dim=1)
+            for layer in self.single_layers:
+                cx = layer(cx, global_cond, **kwargs)
+
+            x = cx[:, c_len:]
+
+        fshift, fscale = self.modF(global_cond).chunk(2, dim=1)
+
+        x = modulate(x, fshift, fscale)
+        x = self.final_linear(x)
+        x = self.unpatchify(x, (h + 1) // self.patch_size, (w + 1) // self.patch_size)[:,:,:h,:w]
+        return x
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diff --git a/ComfyUI/comfy/ldm/cascade/common.py b/ComfyUI/comfy/ldm/cascade/common.py
new file mode 100644
index 0000000000000000000000000000000000000000..3eaa0c821cccddbe891ac8a705d702c509c85582
--- /dev/null
+++ b/ComfyUI/comfy/ldm/cascade/common.py
@@ -0,0 +1,154 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Stability AI
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import torch
+import torch.nn as nn
+from comfy.ldm.modules.attention import optimized_attention
+import comfy.ops
+
+class OptimizedAttention(nn.Module):
+    def __init__(self, c, nhead, dropout=0.0, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.heads = nhead
+
+        self.to_q = operations.Linear(c, c, bias=True, dtype=dtype, device=device)
+        self.to_k = operations.Linear(c, c, bias=True, dtype=dtype, device=device)
+        self.to_v = operations.Linear(c, c, bias=True, dtype=dtype, device=device)
+
+        self.out_proj = operations.Linear(c, c, bias=True, dtype=dtype, device=device)
+
+    def forward(self, q, k, v):
+        q = self.to_q(q)
+        k = self.to_k(k)
+        v = self.to_v(v)
+
+        out = optimized_attention(q, k, v, self.heads)
+
+        return self.out_proj(out)
+
+class Attention2D(nn.Module):
+    def __init__(self, c, nhead, dropout=0.0, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.attn = OptimizedAttention(c, nhead, dtype=dtype, device=device, operations=operations)
+        # self.attn = nn.MultiheadAttention(c, nhead, dropout=dropout, bias=True, batch_first=True, dtype=dtype, device=device)
+
+    def forward(self, x, kv, self_attn=False):
+        orig_shape = x.shape
+        x = x.view(x.size(0), x.size(1), -1).permute(0, 2, 1)  # Bx4xHxW -> Bx(HxW)x4
+        if self_attn:
+            kv = torch.cat([x, kv], dim=1)
+        # x = self.attn(x, kv, kv, need_weights=False)[0]
+        x = self.attn(x, kv, kv)
+        x = x.permute(0, 2, 1).view(*orig_shape)
+        return x
+
+
+def LayerNorm2d_op(operations):
+    class LayerNorm2d(operations.LayerNorm):
+        def __init__(self, *args, **kwargs):
+            super().__init__(*args, **kwargs)
+
+        def forward(self, x):
+            return super().forward(x.permute(0, 2, 3, 1)).permute(0, 3, 1, 2)
+    return LayerNorm2d
+
+class GlobalResponseNorm(nn.Module):
+    "from https://github.com/facebookresearch/ConvNeXt-V2/blob/3608f67cc1dae164790c5d0aead7bf2d73d9719b/models/utils.py#L105"
+    def __init__(self, dim, dtype=None, device=None):
+        super().__init__()
+        self.gamma = nn.Parameter(torch.empty(1, 1, 1, dim, dtype=dtype, device=device))
+        self.beta = nn.Parameter(torch.empty(1, 1, 1, dim, dtype=dtype, device=device))
+
+    def forward(self, x):
+        Gx = torch.norm(x, p=2, dim=(1, 2), keepdim=True)
+        Nx = Gx / (Gx.mean(dim=-1, keepdim=True) + 1e-6)
+        return comfy.ops.cast_to_input(self.gamma, x) * (x * Nx) + comfy.ops.cast_to_input(self.beta, x) + x
+
+
+class ResBlock(nn.Module):
+    def __init__(self, c, c_skip=0, kernel_size=3, dropout=0.0, dtype=None, device=None, operations=None):  # , num_heads=4, expansion=2):
+        super().__init__()
+        self.depthwise = operations.Conv2d(c, c, kernel_size=kernel_size, padding=kernel_size // 2, groups=c, dtype=dtype, device=device)
+        #         self.depthwise = SAMBlock(c, num_heads, expansion)
+        self.norm = LayerNorm2d_op(operations)(c, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.channelwise = nn.Sequential(
+            operations.Linear(c + c_skip, c * 4, dtype=dtype, device=device),
+            nn.GELU(),
+            GlobalResponseNorm(c * 4, dtype=dtype, device=device),
+            nn.Dropout(dropout),
+            operations.Linear(c * 4, c, dtype=dtype, device=device)
+        )
+
+    def forward(self, x, x_skip=None):
+        x_res = x
+        x = self.norm(self.depthwise(x))
+        if x_skip is not None:
+            x = torch.cat([x, x_skip], dim=1)
+        x = self.channelwise(x.permute(0, 2, 3, 1)).permute(0, 3, 1, 2)
+        return x + x_res
+
+
+class AttnBlock(nn.Module):
+    def __init__(self, c, c_cond, nhead, self_attn=True, dropout=0.0, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.self_attn = self_attn
+        self.norm = LayerNorm2d_op(operations)(c, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.attention = Attention2D(c, nhead, dropout, dtype=dtype, device=device, operations=operations)
+        self.kv_mapper = nn.Sequential(
+            nn.SiLU(),
+            operations.Linear(c_cond, c, dtype=dtype, device=device)
+        )
+
+    def forward(self, x, kv):
+        kv = self.kv_mapper(kv)
+        x = x + self.attention(self.norm(x), kv, self_attn=self.self_attn)
+        return x
+
+
+class FeedForwardBlock(nn.Module):
+    def __init__(self, c, dropout=0.0, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.norm = LayerNorm2d_op(operations)(c, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.channelwise = nn.Sequential(
+            operations.Linear(c, c * 4, dtype=dtype, device=device),
+            nn.GELU(),
+            GlobalResponseNorm(c * 4, dtype=dtype, device=device),
+            nn.Dropout(dropout),
+            operations.Linear(c * 4, c, dtype=dtype, device=device)
+        )
+
+    def forward(self, x):
+        x = x + self.channelwise(self.norm(x).permute(0, 2, 3, 1)).permute(0, 3, 1, 2)
+        return x
+
+
+class TimestepBlock(nn.Module):
+    def __init__(self, c, c_timestep, conds=['sca'], dtype=None, device=None, operations=None):
+        super().__init__()
+        self.mapper = operations.Linear(c_timestep, c * 2, dtype=dtype, device=device)
+        self.conds = conds
+        for cname in conds:
+            setattr(self, f"mapper_{cname}", operations.Linear(c_timestep, c * 2, dtype=dtype, device=device))
+
+    def forward(self, x, t):
+        t = t.chunk(len(self.conds) + 1, dim=1)
+        a, b = self.mapper(t[0])[:, :, None, None].chunk(2, dim=1)
+        for i, c in enumerate(self.conds):
+            ac, bc = getattr(self, f"mapper_{c}")(t[i + 1])[:, :, None, None].chunk(2, dim=1)
+            a, b = a + ac, b + bc
+        return x * (1 + a) + b
diff --git a/ComfyUI/comfy/ldm/cascade/controlnet.py b/ComfyUI/comfy/ldm/cascade/controlnet.py
new file mode 100644
index 0000000000000000000000000000000000000000..7a52c3c263f96008e7e2b0ca56e3214784c57eb3
--- /dev/null
+++ b/ComfyUI/comfy/ldm/cascade/controlnet.py
@@ -0,0 +1,93 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Stability AI
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import torch
+import torchvision
+from torch import nn
+from .common import LayerNorm2d_op
+
+
+class CNetResBlock(nn.Module):
+    def __init__(self, c, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.blocks = nn.Sequential(
+            LayerNorm2d_op(operations)(c, dtype=dtype, device=device),
+            nn.GELU(),
+            operations.Conv2d(c, c, kernel_size=3, padding=1),
+            LayerNorm2d_op(operations)(c, dtype=dtype, device=device),
+            nn.GELU(),
+            operations.Conv2d(c, c, kernel_size=3, padding=1),
+        )
+
+    def forward(self, x):
+        return x + self.blocks(x)
+
+
+class ControlNet(nn.Module):
+    def __init__(self, c_in=3, c_proj=2048, proj_blocks=None, bottleneck_mode=None, dtype=None, device=None, operations=nn):
+        super().__init__()
+        if bottleneck_mode is None:
+            bottleneck_mode = 'effnet'
+        self.proj_blocks = proj_blocks
+        if bottleneck_mode == 'effnet':
+            embd_channels = 1280
+            self.backbone = torchvision.models.efficientnet_v2_s().features.eval()
+            if c_in != 3:
+                in_weights = self.backbone[0][0].weight.data
+                self.backbone[0][0] = operations.Conv2d(c_in, 24, kernel_size=3, stride=2, bias=False, dtype=dtype, device=device)
+                if c_in > 3:
+                    # nn.init.constant_(self.backbone[0][0].weight, 0)
+                    self.backbone[0][0].weight.data[:, :3] = in_weights[:, :3].clone()
+                else:
+                    self.backbone[0][0].weight.data = in_weights[:, :c_in].clone()
+        elif bottleneck_mode == 'simple':
+            embd_channels = c_in
+            self.backbone = nn.Sequential(
+                operations.Conv2d(embd_channels, embd_channels * 4, kernel_size=3, padding=1, dtype=dtype, device=device),
+                nn.LeakyReLU(0.2, inplace=True),
+                operations.Conv2d(embd_channels * 4, embd_channels, kernel_size=3, padding=1, dtype=dtype, device=device),
+            )
+        elif bottleneck_mode == 'large':
+            self.backbone = nn.Sequential(
+                operations.Conv2d(c_in, 4096 * 4, kernel_size=1, dtype=dtype, device=device),
+                nn.LeakyReLU(0.2, inplace=True),
+                operations.Conv2d(4096 * 4, 1024, kernel_size=1, dtype=dtype, device=device),
+                *[CNetResBlock(1024, dtype=dtype, device=device, operations=operations) for _ in range(8)],
+                operations.Conv2d(1024, 1280, kernel_size=1, dtype=dtype, device=device),
+            )
+            embd_channels = 1280
+        else:
+            raise ValueError(f'Unknown bottleneck mode: {bottleneck_mode}')
+        self.projections = nn.ModuleList()
+        for _ in range(len(proj_blocks)):
+            self.projections.append(nn.Sequential(
+                operations.Conv2d(embd_channels, embd_channels, kernel_size=1, bias=False, dtype=dtype, device=device),
+                nn.LeakyReLU(0.2, inplace=True),
+                operations.Conv2d(embd_channels, c_proj, kernel_size=1, bias=False, dtype=dtype, device=device),
+            ))
+            # nn.init.constant_(self.projections[-1][-1].weight, 0)  # zero output projection
+        self.xl = False
+        self.input_channels = c_in
+        self.unshuffle_amount = 8
+
+    def forward(self, x):
+        x = self.backbone(x)
+        proj_outputs = [None for _ in range(max(self.proj_blocks) + 1)]
+        for i, idx in enumerate(self.proj_blocks):
+            proj_outputs[idx] = self.projections[i](x)
+        return {"input": proj_outputs[::-1]}
diff --git a/ComfyUI/comfy/ldm/cascade/stage_a.py b/ComfyUI/comfy/ldm/cascade/stage_a.py
new file mode 100644
index 0000000000000000000000000000000000000000..ca8867eaf35cbc57eb5d925082b7e2bb7b36932d
--- /dev/null
+++ b/ComfyUI/comfy/ldm/cascade/stage_a.py
@@ -0,0 +1,255 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Stability AI
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import torch
+from torch import nn
+from torch.autograd import Function
+
+class vector_quantize(Function):
+    @staticmethod
+    def forward(ctx, x, codebook):
+        with torch.no_grad():
+            codebook_sqr = torch.sum(codebook ** 2, dim=1)
+            x_sqr = torch.sum(x ** 2, dim=1, keepdim=True)
+
+            dist = torch.addmm(codebook_sqr + x_sqr, x, codebook.t(), alpha=-2.0, beta=1.0)
+            _, indices = dist.min(dim=1)
+
+            ctx.save_for_backward(indices, codebook)
+            ctx.mark_non_differentiable(indices)
+
+            nn = torch.index_select(codebook, 0, indices)
+            return nn, indices
+
+    @staticmethod
+    def backward(ctx, grad_output, grad_indices):
+        grad_inputs, grad_codebook = None, None
+
+        if ctx.needs_input_grad[0]:
+            grad_inputs = grad_output.clone()
+        if ctx.needs_input_grad[1]:
+            # Gradient wrt. the codebook
+            indices, codebook = ctx.saved_tensors
+
+            grad_codebook = torch.zeros_like(codebook)
+            grad_codebook.index_add_(0, indices, grad_output)
+
+        return (grad_inputs, grad_codebook)
+
+
+class VectorQuantize(nn.Module):
+    def __init__(self, embedding_size, k, ema_decay=0.99, ema_loss=False):
+        """
+        Takes an input of variable size (as long as the last dimension matches the embedding size).
+        Returns one tensor containing the nearest neigbour embeddings to each of the inputs,
+        with the same size as the input, vq and commitment components for the loss as a touple
+        in the second output and the indices of the quantized vectors in the third:
+        quantized, (vq_loss, commit_loss), indices
+        """
+        super(VectorQuantize, self).__init__()
+
+        self.codebook = nn.Embedding(k, embedding_size)
+        self.codebook.weight.data.uniform_(-1./k, 1./k)
+        self.vq = vector_quantize.apply
+
+        self.ema_decay = ema_decay
+        self.ema_loss = ema_loss
+        if ema_loss:
+            self.register_buffer('ema_element_count', torch.ones(k))
+            self.register_buffer('ema_weight_sum', torch.zeros_like(self.codebook.weight))
+
+    def _laplace_smoothing(self, x, epsilon):
+        n = torch.sum(x)
+        return ((x + epsilon) / (n + x.size(0) * epsilon) * n)
+
+    def _updateEMA(self, z_e_x, indices):
+        mask = nn.functional.one_hot(indices, self.ema_element_count.size(0)).float()
+        elem_count = mask.sum(dim=0)
+        weight_sum = torch.mm(mask.t(), z_e_x)
+
+        self.ema_element_count = (self.ema_decay * self.ema_element_count) + ((1-self.ema_decay) * elem_count)
+        self.ema_element_count = self._laplace_smoothing(self.ema_element_count, 1e-5)
+        self.ema_weight_sum = (self.ema_decay * self.ema_weight_sum) + ((1-self.ema_decay) * weight_sum)
+
+        self.codebook.weight.data = self.ema_weight_sum / self.ema_element_count.unsqueeze(-1)
+
+    def idx2vq(self, idx, dim=-1):
+        q_idx = self.codebook(idx)
+        if dim != -1:
+            q_idx = q_idx.movedim(-1, dim)
+        return q_idx
+
+    def forward(self, x, get_losses=True, dim=-1):
+        if dim != -1:
+            x = x.movedim(dim, -1)
+        z_e_x = x.contiguous().view(-1, x.size(-1)) if len(x.shape) > 2 else x
+        z_q_x, indices = self.vq(z_e_x, self.codebook.weight.detach())
+        vq_loss, commit_loss = None, None
+        if self.ema_loss and self.training:
+            self._updateEMA(z_e_x.detach(), indices.detach())
+        # pick the graded embeddings after updating the codebook in order to have a more accurate commitment loss
+        z_q_x_grd = torch.index_select(self.codebook.weight, dim=0, index=indices)
+        if get_losses:
+            vq_loss = (z_q_x_grd - z_e_x.detach()).pow(2).mean()
+            commit_loss = (z_e_x - z_q_x_grd.detach()).pow(2).mean()
+
+        z_q_x = z_q_x.view(x.shape)
+        if dim != -1:
+            z_q_x = z_q_x.movedim(-1, dim)
+        return z_q_x, (vq_loss, commit_loss), indices.view(x.shape[:-1])
+
+
+class ResBlock(nn.Module):
+    def __init__(self, c, c_hidden):
+        super().__init__()
+        # depthwise/attention
+        self.norm1 = nn.LayerNorm(c, elementwise_affine=False, eps=1e-6)
+        self.depthwise = nn.Sequential(
+            nn.ReplicationPad2d(1),
+            nn.Conv2d(c, c, kernel_size=3, groups=c)
+        )
+
+        # channelwise
+        self.norm2 = nn.LayerNorm(c, elementwise_affine=False, eps=1e-6)
+        self.channelwise = nn.Sequential(
+            nn.Linear(c, c_hidden),
+            nn.GELU(),
+            nn.Linear(c_hidden, c),
+        )
+
+        self.gammas = nn.Parameter(torch.zeros(6), requires_grad=True)
+
+        # Init weights
+        def _basic_init(module):
+            if isinstance(module, nn.Linear) or isinstance(module, nn.Conv2d):
+                torch.nn.init.xavier_uniform_(module.weight)
+                if module.bias is not None:
+                    nn.init.constant_(module.bias, 0)
+
+        self.apply(_basic_init)
+
+    def _norm(self, x, norm):
+        return norm(x.permute(0, 2, 3, 1)).permute(0, 3, 1, 2)
+
+    def forward(self, x):
+        mods = self.gammas
+
+        x_temp = self._norm(x, self.norm1) * (1 + mods[0]) + mods[1]
+        try:
+            x = x + self.depthwise(x_temp) * mods[2]
+        except: #operation not implemented for bf16
+            x_temp = self.depthwise[0](x_temp.float()).to(x.dtype)
+            x = x + self.depthwise[1](x_temp) * mods[2]
+
+        x_temp = self._norm(x, self.norm2) * (1 + mods[3]) + mods[4]
+        x = x + self.channelwise(x_temp.permute(0, 2, 3, 1)).permute(0, 3, 1, 2) * mods[5]
+
+        return x
+
+
+class StageA(nn.Module):
+    def __init__(self, levels=2, bottleneck_blocks=12, c_hidden=384, c_latent=4, codebook_size=8192):
+        super().__init__()
+        self.c_latent = c_latent
+        c_levels = [c_hidden // (2 ** i) for i in reversed(range(levels))]
+
+        # Encoder blocks
+        self.in_block = nn.Sequential(
+            nn.PixelUnshuffle(2),
+            nn.Conv2d(3 * 4, c_levels[0], kernel_size=1)
+        )
+        down_blocks = []
+        for i in range(levels):
+            if i > 0:
+                down_blocks.append(nn.Conv2d(c_levels[i - 1], c_levels[i], kernel_size=4, stride=2, padding=1))
+            block = ResBlock(c_levels[i], c_levels[i] * 4)
+            down_blocks.append(block)
+        down_blocks.append(nn.Sequential(
+            nn.Conv2d(c_levels[-1], c_latent, kernel_size=1, bias=False),
+            nn.BatchNorm2d(c_latent),  # then normalize them to have mean 0 and std 1
+        ))
+        self.down_blocks = nn.Sequential(*down_blocks)
+        self.down_blocks[0]
+
+        self.codebook_size = codebook_size
+        self.vquantizer = VectorQuantize(c_latent, k=codebook_size)
+
+        # Decoder blocks
+        up_blocks = [nn.Sequential(
+            nn.Conv2d(c_latent, c_levels[-1], kernel_size=1)
+        )]
+        for i in range(levels):
+            for j in range(bottleneck_blocks if i == 0 else 1):
+                block = ResBlock(c_levels[levels - 1 - i], c_levels[levels - 1 - i] * 4)
+                up_blocks.append(block)
+            if i < levels - 1:
+                up_blocks.append(
+                    nn.ConvTranspose2d(c_levels[levels - 1 - i], c_levels[levels - 2 - i], kernel_size=4, stride=2,
+                                       padding=1))
+        self.up_blocks = nn.Sequential(*up_blocks)
+        self.out_block = nn.Sequential(
+            nn.Conv2d(c_levels[0], 3 * 4, kernel_size=1),
+            nn.PixelShuffle(2),
+        )
+
+    def encode(self, x, quantize=False):
+        x = self.in_block(x)
+        x = self.down_blocks(x)
+        if quantize:
+            qe, (vq_loss, commit_loss), indices = self.vquantizer.forward(x, dim=1)
+            return qe, x, indices, vq_loss + commit_loss * 0.25
+        else:
+            return x
+
+    def decode(self, x):
+        x = self.up_blocks(x)
+        x = self.out_block(x)
+        return x
+
+    def forward(self, x, quantize=False):
+        qe, x, _, vq_loss = self.encode(x, quantize)
+        x = self.decode(qe)
+        return x, vq_loss
+
+
+class Discriminator(nn.Module):
+    def __init__(self, c_in=3, c_cond=0, c_hidden=512, depth=6):
+        super().__init__()
+        d = max(depth - 3, 3)
+        layers = [
+            nn.utils.spectral_norm(nn.Conv2d(c_in, c_hidden // (2 ** d), kernel_size=3, stride=2, padding=1)),
+            nn.LeakyReLU(0.2),
+        ]
+        for i in range(depth - 1):
+            c_in = c_hidden // (2 ** max((d - i), 0))
+            c_out = c_hidden // (2 ** max((d - 1 - i), 0))
+            layers.append(nn.utils.spectral_norm(nn.Conv2d(c_in, c_out, kernel_size=3, stride=2, padding=1)))
+            layers.append(nn.InstanceNorm2d(c_out))
+            layers.append(nn.LeakyReLU(0.2))
+        self.encoder = nn.Sequential(*layers)
+        self.shuffle = nn.Conv2d((c_hidden + c_cond) if c_cond > 0 else c_hidden, 1, kernel_size=1)
+        self.logits = nn.Sigmoid()
+
+    def forward(self, x, cond=None):
+        x = self.encoder(x)
+        if cond is not None:
+            cond = cond.view(cond.size(0), cond.size(1), 1, 1, ).expand(-1, -1, x.size(-2), x.size(-1))
+            x = torch.cat([x, cond], dim=1)
+        x = self.shuffle(x)
+        x = self.logits(x)
+        return x
diff --git a/ComfyUI/comfy/ldm/cascade/stage_b.py b/ComfyUI/comfy/ldm/cascade/stage_b.py
new file mode 100644
index 0000000000000000000000000000000000000000..7c3d8feabd826accc702b6e6e598b61b4a739194
--- /dev/null
+++ b/ComfyUI/comfy/ldm/cascade/stage_b.py
@@ -0,0 +1,256 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Stability AI
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import math
+import torch
+from torch import nn
+from .common import AttnBlock, LayerNorm2d_op, ResBlock, FeedForwardBlock, TimestepBlock
+
+class StageB(nn.Module):
+    def __init__(self, c_in=4, c_out=4, c_r=64, patch_size=2, c_cond=1280, c_hidden=[320, 640, 1280, 1280],
+                 nhead=[-1, -1, 20, 20], blocks=[[2, 6, 28, 6], [6, 28, 6, 2]],
+                 block_repeat=[[1, 1, 1, 1], [3, 3, 2, 2]], level_config=['CT', 'CT', 'CTA', 'CTA'], c_clip=1280,
+                 c_clip_seq=4, c_effnet=16, c_pixels=3, kernel_size=3, dropout=[0, 0, 0.0, 0.0], self_attn=True,
+                 t_conds=['sca'], stable_cascade_stage=None, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.dtype = dtype
+        self.c_r = c_r
+        self.t_conds = t_conds
+        self.c_clip_seq = c_clip_seq
+        if not isinstance(dropout, list):
+            dropout = [dropout] * len(c_hidden)
+        if not isinstance(self_attn, list):
+            self_attn = [self_attn] * len(c_hidden)
+
+        # CONDITIONING
+        self.effnet_mapper = nn.Sequential(
+            operations.Conv2d(c_effnet, c_hidden[0] * 4, kernel_size=1, dtype=dtype, device=device),
+            nn.GELU(),
+            operations.Conv2d(c_hidden[0] * 4, c_hidden[0], kernel_size=1, dtype=dtype, device=device),
+            LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        )
+        self.pixels_mapper = nn.Sequential(
+            operations.Conv2d(c_pixels, c_hidden[0] * 4, kernel_size=1, dtype=dtype, device=device),
+            nn.GELU(),
+            operations.Conv2d(c_hidden[0] * 4, c_hidden[0], kernel_size=1, dtype=dtype, device=device),
+            LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        )
+        self.clip_mapper = operations.Linear(c_clip, c_cond * c_clip_seq, dtype=dtype, device=device)
+        self.clip_norm = operations.LayerNorm(c_cond, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+
+        self.embedding = nn.Sequential(
+            nn.PixelUnshuffle(patch_size),
+            operations.Conv2d(c_in * (patch_size ** 2), c_hidden[0], kernel_size=1, dtype=dtype, device=device),
+            LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        )
+
+        def get_block(block_type, c_hidden, nhead, c_skip=0, dropout=0, self_attn=True):
+            if block_type == 'C':
+                return ResBlock(c_hidden, c_skip, kernel_size=kernel_size, dropout=dropout, dtype=dtype, device=device, operations=operations)
+            elif block_type == 'A':
+                return AttnBlock(c_hidden, c_cond, nhead, self_attn=self_attn, dropout=dropout, dtype=dtype, device=device, operations=operations)
+            elif block_type == 'F':
+                return FeedForwardBlock(c_hidden, dropout=dropout, dtype=dtype, device=device, operations=operations)
+            elif block_type == 'T':
+                return TimestepBlock(c_hidden, c_r, conds=t_conds, dtype=dtype, device=device, operations=operations)
+            else:
+                raise Exception(f'Block type {block_type} not supported')
+
+        # BLOCKS
+        # -- down blocks
+        self.down_blocks = nn.ModuleList()
+        self.down_downscalers = nn.ModuleList()
+        self.down_repeat_mappers = nn.ModuleList()
+        for i in range(len(c_hidden)):
+            if i > 0:
+                self.down_downscalers.append(nn.Sequential(
+                    LayerNorm2d_op(operations)(c_hidden[i - 1], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device),
+                    operations.Conv2d(c_hidden[i - 1], c_hidden[i], kernel_size=2, stride=2, dtype=dtype, device=device),
+                ))
+            else:
+                self.down_downscalers.append(nn.Identity())
+            down_block = nn.ModuleList()
+            for _ in range(blocks[0][i]):
+                for block_type in level_config[i]:
+                    block = get_block(block_type, c_hidden[i], nhead[i], dropout=dropout[i], self_attn=self_attn[i])
+                    down_block.append(block)
+            self.down_blocks.append(down_block)
+            if block_repeat is not None:
+                block_repeat_mappers = nn.ModuleList()
+                for _ in range(block_repeat[0][i] - 1):
+                    block_repeat_mappers.append(operations.Conv2d(c_hidden[i], c_hidden[i], kernel_size=1, dtype=dtype, device=device))
+                self.down_repeat_mappers.append(block_repeat_mappers)
+
+        # -- up blocks
+        self.up_blocks = nn.ModuleList()
+        self.up_upscalers = nn.ModuleList()
+        self.up_repeat_mappers = nn.ModuleList()
+        for i in reversed(range(len(c_hidden))):
+            if i > 0:
+                self.up_upscalers.append(nn.Sequential(
+                    LayerNorm2d_op(operations)(c_hidden[i], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device),
+                    operations.ConvTranspose2d(c_hidden[i], c_hidden[i - 1], kernel_size=2, stride=2, dtype=dtype, device=device),
+                ))
+            else:
+                self.up_upscalers.append(nn.Identity())
+            up_block = nn.ModuleList()
+            for j in range(blocks[1][::-1][i]):
+                for k, block_type in enumerate(level_config[i]):
+                    c_skip = c_hidden[i] if i < len(c_hidden) - 1 and j == k == 0 else 0
+                    block = get_block(block_type, c_hidden[i], nhead[i], c_skip=c_skip, dropout=dropout[i],
+                                      self_attn=self_attn[i])
+                    up_block.append(block)
+            self.up_blocks.append(up_block)
+            if block_repeat is not None:
+                block_repeat_mappers = nn.ModuleList()
+                for _ in range(block_repeat[1][::-1][i] - 1):
+                    block_repeat_mappers.append(operations.Conv2d(c_hidden[i], c_hidden[i], kernel_size=1, dtype=dtype, device=device))
+                self.up_repeat_mappers.append(block_repeat_mappers)
+
+        # OUTPUT
+        self.clf = nn.Sequential(
+            LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device),
+            operations.Conv2d(c_hidden[0], c_out * (patch_size ** 2), kernel_size=1, dtype=dtype, device=device),
+            nn.PixelShuffle(patch_size),
+        )
+
+        # --- WEIGHT INIT ---
+    #     self.apply(self._init_weights)  # General init
+    #     nn.init.normal_(self.clip_mapper.weight, std=0.02)  # conditionings
+    #     nn.init.normal_(self.effnet_mapper[0].weight, std=0.02)  # conditionings
+    #     nn.init.normal_(self.effnet_mapper[2].weight, std=0.02)  # conditionings
+    #     nn.init.normal_(self.pixels_mapper[0].weight, std=0.02)  # conditionings
+    #     nn.init.normal_(self.pixels_mapper[2].weight, std=0.02)  # conditionings
+    #     torch.nn.init.xavier_uniform_(self.embedding[1].weight, 0.02)  # inputs
+    #     nn.init.constant_(self.clf[1].weight, 0)  # outputs
+    # 
+    #     # blocks
+    #     for level_block in self.down_blocks + self.up_blocks:
+    #         for block in level_block:
+    #             if isinstance(block, ResBlock) or isinstance(block, FeedForwardBlock):
+    #                 block.channelwise[-1].weight.data *= np.sqrt(1 / sum(blocks[0]))
+    #             elif isinstance(block, TimestepBlock):
+    #                 for layer in block.modules():
+    #                     if isinstance(layer, nn.Linear):
+    #                         nn.init.constant_(layer.weight, 0)
+    # 
+    # def _init_weights(self, m):
+    #     if isinstance(m, (nn.Conv2d, nn.Linear)):
+    #         torch.nn.init.xavier_uniform_(m.weight)
+    #         if m.bias is not None:
+    #             nn.init.constant_(m.bias, 0)
+
+    def gen_r_embedding(self, r, max_positions=10000):
+        r = r * max_positions
+        half_dim = self.c_r // 2
+        emb = math.log(max_positions) / (half_dim - 1)
+        emb = torch.arange(half_dim, device=r.device).float().mul(-emb).exp()
+        emb = r[:, None] * emb[None, :]
+        emb = torch.cat([emb.sin(), emb.cos()], dim=1)
+        if self.c_r % 2 == 1:  # zero pad
+            emb = nn.functional.pad(emb, (0, 1), mode='constant')
+        return emb
+
+    def gen_c_embeddings(self, clip):
+        if len(clip.shape) == 2:
+            clip = clip.unsqueeze(1)
+        clip = self.clip_mapper(clip).view(clip.size(0), clip.size(1) * self.c_clip_seq, -1)
+        clip = self.clip_norm(clip)
+        return clip
+
+    def _down_encode(self, x, r_embed, clip):
+        level_outputs = []
+        block_group = zip(self.down_blocks, self.down_downscalers, self.down_repeat_mappers)
+        for down_block, downscaler, repmap in block_group:
+            x = downscaler(x)
+            for i in range(len(repmap) + 1):
+                for block in down_block:
+                    if isinstance(block, ResBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  ResBlock)):
+                        x = block(x)
+                    elif isinstance(block, AttnBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  AttnBlock)):
+                        x = block(x, clip)
+                    elif isinstance(block, TimestepBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  TimestepBlock)):
+                        x = block(x, r_embed)
+                    else:
+                        x = block(x)
+                if i < len(repmap):
+                    x = repmap[i](x)
+            level_outputs.insert(0, x)
+        return level_outputs
+
+    def _up_decode(self, level_outputs, r_embed, clip):
+        x = level_outputs[0]
+        block_group = zip(self.up_blocks, self.up_upscalers, self.up_repeat_mappers)
+        for i, (up_block, upscaler, repmap) in enumerate(block_group):
+            for j in range(len(repmap) + 1):
+                for k, block in enumerate(up_block):
+                    if isinstance(block, ResBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  ResBlock)):
+                        skip = level_outputs[i] if k == 0 and i > 0 else None
+                        if skip is not None and (x.size(-1) != skip.size(-1) or x.size(-2) != skip.size(-2)):
+                            x = torch.nn.functional.interpolate(x, skip.shape[-2:], mode='bilinear',
+                                                                align_corners=True)
+                        x = block(x, skip)
+                    elif isinstance(block, AttnBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  AttnBlock)):
+                        x = block(x, clip)
+                    elif isinstance(block, TimestepBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  TimestepBlock)):
+                        x = block(x, r_embed)
+                    else:
+                        x = block(x)
+                if j < len(repmap):
+                    x = repmap[j](x)
+            x = upscaler(x)
+        return x
+
+    def forward(self, x, r, effnet, clip, pixels=None, **kwargs):
+        if pixels is None:
+            pixels = x.new_zeros(x.size(0), 3, 8, 8)
+
+        # Process the conditioning embeddings
+        r_embed = self.gen_r_embedding(r).to(dtype=x.dtype)
+        for c in self.t_conds:
+            t_cond = kwargs.get(c, torch.zeros_like(r))
+            r_embed = torch.cat([r_embed, self.gen_r_embedding(t_cond).to(dtype=x.dtype)], dim=1)
+        clip = self.gen_c_embeddings(clip)
+
+        # Model Blocks
+        x = self.embedding(x)
+        x = x + self.effnet_mapper(
+            nn.functional.interpolate(effnet, size=x.shape[-2:], mode='bilinear', align_corners=True))
+        x = x + nn.functional.interpolate(self.pixels_mapper(pixels), size=x.shape[-2:], mode='bilinear',
+                                          align_corners=True)
+        level_outputs = self._down_encode(x, r_embed, clip)
+        x = self._up_decode(level_outputs, r_embed, clip)
+        return self.clf(x)
+
+    def update_weights_ema(self, src_model, beta=0.999):
+        for self_params, src_params in zip(self.parameters(), src_model.parameters()):
+            self_params.data = self_params.data * beta + src_params.data.clone().to(self_params.device) * (1 - beta)
+        for self_buffers, src_buffers in zip(self.buffers(), src_model.buffers()):
+            self_buffers.data = self_buffers.data * beta + src_buffers.data.clone().to(self_buffers.device) * (1 - beta)
diff --git a/ComfyUI/comfy/ldm/cascade/stage_c.py b/ComfyUI/comfy/ldm/cascade/stage_c.py
new file mode 100644
index 0000000000000000000000000000000000000000..c85da1f01c1d862de5906e73fc746fc92eb51304
--- /dev/null
+++ b/ComfyUI/comfy/ldm/cascade/stage_c.py
@@ -0,0 +1,273 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Stability AI
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import torch
+from torch import nn
+import math
+from .common import AttnBlock, LayerNorm2d_op, ResBlock, FeedForwardBlock, TimestepBlock
+# from .controlnet import ControlNetDeliverer
+
+class UpDownBlock2d(nn.Module):
+    def __init__(self, c_in, c_out, mode, enabled=True, dtype=None, device=None, operations=None):
+        super().__init__()
+        assert mode in ['up', 'down']
+        interpolation = nn.Upsample(scale_factor=2 if mode == 'up' else 0.5, mode='bilinear',
+                                    align_corners=True) if enabled else nn.Identity()
+        mapping = operations.Conv2d(c_in, c_out, kernel_size=1, dtype=dtype, device=device)
+        self.blocks = nn.ModuleList([interpolation, mapping] if mode == 'up' else [mapping, interpolation])
+
+    def forward(self, x):
+        for block in self.blocks:
+            x = block(x)
+        return x
+
+
+class StageC(nn.Module):
+    def __init__(self, c_in=16, c_out=16, c_r=64, patch_size=1, c_cond=2048, c_hidden=[2048, 2048], nhead=[32, 32],
+                 blocks=[[8, 24], [24, 8]], block_repeat=[[1, 1], [1, 1]], level_config=['CTA', 'CTA'],
+                 c_clip_text=1280, c_clip_text_pooled=1280, c_clip_img=768, c_clip_seq=4, kernel_size=3,
+                 dropout=[0.0, 0.0], self_attn=True, t_conds=['sca', 'crp'], switch_level=[False], stable_cascade_stage=None,
+                 dtype=None, device=None, operations=None):
+        super().__init__()
+        self.dtype = dtype
+        self.c_r = c_r
+        self.t_conds = t_conds
+        self.c_clip_seq = c_clip_seq
+        if not isinstance(dropout, list):
+            dropout = [dropout] * len(c_hidden)
+        if not isinstance(self_attn, list):
+            self_attn = [self_attn] * len(c_hidden)
+
+        # CONDITIONING
+        self.clip_txt_mapper = operations.Linear(c_clip_text, c_cond, dtype=dtype, device=device)
+        self.clip_txt_pooled_mapper = operations.Linear(c_clip_text_pooled, c_cond * c_clip_seq, dtype=dtype, device=device)
+        self.clip_img_mapper = operations.Linear(c_clip_img, c_cond * c_clip_seq, dtype=dtype, device=device)
+        self.clip_norm = operations.LayerNorm(c_cond, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+
+        self.embedding = nn.Sequential(
+            nn.PixelUnshuffle(patch_size),
+            operations.Conv2d(c_in * (patch_size ** 2), c_hidden[0], kernel_size=1, dtype=dtype, device=device),
+            LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6)
+        )
+
+        def get_block(block_type, c_hidden, nhead, c_skip=0, dropout=0, self_attn=True):
+            if block_type == 'C':
+                return ResBlock(c_hidden, c_skip, kernel_size=kernel_size, dropout=dropout, dtype=dtype, device=device, operations=operations)
+            elif block_type == 'A':
+                return AttnBlock(c_hidden, c_cond, nhead, self_attn=self_attn, dropout=dropout, dtype=dtype, device=device, operations=operations)
+            elif block_type == 'F':
+                return FeedForwardBlock(c_hidden, dropout=dropout, dtype=dtype, device=device, operations=operations)
+            elif block_type == 'T':
+                return TimestepBlock(c_hidden, c_r, conds=t_conds, dtype=dtype, device=device, operations=operations)
+            else:
+                raise Exception(f'Block type {block_type} not supported')
+
+        # BLOCKS
+        # -- down blocks
+        self.down_blocks = nn.ModuleList()
+        self.down_downscalers = nn.ModuleList()
+        self.down_repeat_mappers = nn.ModuleList()
+        for i in range(len(c_hidden)):
+            if i > 0:
+                self.down_downscalers.append(nn.Sequential(
+                    LayerNorm2d_op(operations)(c_hidden[i - 1], elementwise_affine=False, eps=1e-6),
+                    UpDownBlock2d(c_hidden[i - 1], c_hidden[i], mode='down', enabled=switch_level[i - 1], dtype=dtype, device=device, operations=operations)
+                ))
+            else:
+                self.down_downscalers.append(nn.Identity())
+            down_block = nn.ModuleList()
+            for _ in range(blocks[0][i]):
+                for block_type in level_config[i]:
+                    block = get_block(block_type, c_hidden[i], nhead[i], dropout=dropout[i], self_attn=self_attn[i])
+                    down_block.append(block)
+            self.down_blocks.append(down_block)
+            if block_repeat is not None:
+                block_repeat_mappers = nn.ModuleList()
+                for _ in range(block_repeat[0][i] - 1):
+                    block_repeat_mappers.append(operations.Conv2d(c_hidden[i], c_hidden[i], kernel_size=1, dtype=dtype, device=device))
+                self.down_repeat_mappers.append(block_repeat_mappers)
+
+        # -- up blocks
+        self.up_blocks = nn.ModuleList()
+        self.up_upscalers = nn.ModuleList()
+        self.up_repeat_mappers = nn.ModuleList()
+        for i in reversed(range(len(c_hidden))):
+            if i > 0:
+                self.up_upscalers.append(nn.Sequential(
+                    LayerNorm2d_op(operations)(c_hidden[i], elementwise_affine=False, eps=1e-6),
+                    UpDownBlock2d(c_hidden[i], c_hidden[i - 1], mode='up', enabled=switch_level[i - 1], dtype=dtype, device=device, operations=operations)
+                ))
+            else:
+                self.up_upscalers.append(nn.Identity())
+            up_block = nn.ModuleList()
+            for j in range(blocks[1][::-1][i]):
+                for k, block_type in enumerate(level_config[i]):
+                    c_skip = c_hidden[i] if i < len(c_hidden) - 1 and j == k == 0 else 0
+                    block = get_block(block_type, c_hidden[i], nhead[i], c_skip=c_skip, dropout=dropout[i],
+                                      self_attn=self_attn[i])
+                    up_block.append(block)
+            self.up_blocks.append(up_block)
+            if block_repeat is not None:
+                block_repeat_mappers = nn.ModuleList()
+                for _ in range(block_repeat[1][::-1][i] - 1):
+                    block_repeat_mappers.append(operations.Conv2d(c_hidden[i], c_hidden[i], kernel_size=1, dtype=dtype, device=device))
+                self.up_repeat_mappers.append(block_repeat_mappers)
+
+        # OUTPUT
+        self.clf = nn.Sequential(
+            LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device),
+            operations.Conv2d(c_hidden[0], c_out * (patch_size ** 2), kernel_size=1, dtype=dtype, device=device),
+            nn.PixelShuffle(patch_size),
+        )
+
+        # --- WEIGHT INIT ---
+    #     self.apply(self._init_weights)  # General init
+    #     nn.init.normal_(self.clip_txt_mapper.weight, std=0.02)  # conditionings
+    #     nn.init.normal_(self.clip_txt_pooled_mapper.weight, std=0.02)  # conditionings
+    #     nn.init.normal_(self.clip_img_mapper.weight, std=0.02)  # conditionings
+    #     torch.nn.init.xavier_uniform_(self.embedding[1].weight, 0.02)  # inputs
+    #     nn.init.constant_(self.clf[1].weight, 0)  # outputs
+    # 
+    #     # blocks
+    #     for level_block in self.down_blocks + self.up_blocks:
+    #         for block in level_block:
+    #             if isinstance(block, ResBlock) or isinstance(block, FeedForwardBlock):
+    #                 block.channelwise[-1].weight.data *= np.sqrt(1 / sum(blocks[0]))
+    #             elif isinstance(block, TimestepBlock):
+    #                 for layer in block.modules():
+    #                     if isinstance(layer, nn.Linear):
+    #                         nn.init.constant_(layer.weight, 0)
+    # 
+    # def _init_weights(self, m):
+    #     if isinstance(m, (nn.Conv2d, nn.Linear)):
+    #         torch.nn.init.xavier_uniform_(m.weight)
+    #         if m.bias is not None:
+    #             nn.init.constant_(m.bias, 0)
+
+    def gen_r_embedding(self, r, max_positions=10000):
+        r = r * max_positions
+        half_dim = self.c_r // 2
+        emb = math.log(max_positions) / (half_dim - 1)
+        emb = torch.arange(half_dim, device=r.device).float().mul(-emb).exp()
+        emb = r[:, None] * emb[None, :]
+        emb = torch.cat([emb.sin(), emb.cos()], dim=1)
+        if self.c_r % 2 == 1:  # zero pad
+            emb = nn.functional.pad(emb, (0, 1), mode='constant')
+        return emb
+
+    def gen_c_embeddings(self, clip_txt, clip_txt_pooled, clip_img):
+        clip_txt = self.clip_txt_mapper(clip_txt)
+        if len(clip_txt_pooled.shape) == 2:
+            clip_txt_pooled = clip_txt_pooled.unsqueeze(1)
+        if len(clip_img.shape) == 2:
+            clip_img = clip_img.unsqueeze(1)
+        clip_txt_pool = self.clip_txt_pooled_mapper(clip_txt_pooled).view(clip_txt_pooled.size(0), clip_txt_pooled.size(1) * self.c_clip_seq, -1)
+        clip_img = self.clip_img_mapper(clip_img).view(clip_img.size(0), clip_img.size(1) * self.c_clip_seq, -1)
+        clip = torch.cat([clip_txt, clip_txt_pool, clip_img], dim=1)
+        clip = self.clip_norm(clip)
+        return clip
+
+    def _down_encode(self, x, r_embed, clip, cnet=None):
+        level_outputs = []
+        block_group = zip(self.down_blocks, self.down_downscalers, self.down_repeat_mappers)
+        for down_block, downscaler, repmap in block_group:
+            x = downscaler(x)
+            for i in range(len(repmap) + 1):
+                for block in down_block:
+                    if isinstance(block, ResBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  ResBlock)):
+                        if cnet is not None:
+                            next_cnet = cnet.pop()
+                            if next_cnet is not None:
+                                x = x + nn.functional.interpolate(next_cnet, size=x.shape[-2:], mode='bilinear',
+                                                                  align_corners=True).to(x.dtype)
+                        x = block(x)
+                    elif isinstance(block, AttnBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  AttnBlock)):
+                        x = block(x, clip)
+                    elif isinstance(block, TimestepBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  TimestepBlock)):
+                        x = block(x, r_embed)
+                    else:
+                        x = block(x)
+                if i < len(repmap):
+                    x = repmap[i](x)
+            level_outputs.insert(0, x)
+        return level_outputs
+
+    def _up_decode(self, level_outputs, r_embed, clip, cnet=None):
+        x = level_outputs[0]
+        block_group = zip(self.up_blocks, self.up_upscalers, self.up_repeat_mappers)
+        for i, (up_block, upscaler, repmap) in enumerate(block_group):
+            for j in range(len(repmap) + 1):
+                for k, block in enumerate(up_block):
+                    if isinstance(block, ResBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  ResBlock)):
+                        skip = level_outputs[i] if k == 0 and i > 0 else None
+                        if skip is not None and (x.size(-1) != skip.size(-1) or x.size(-2) != skip.size(-2)):
+                            x = torch.nn.functional.interpolate(x, skip.shape[-2:], mode='bilinear',
+                                                                align_corners=True)
+                        if cnet is not None:
+                            next_cnet = cnet.pop()
+                            if next_cnet is not None:
+                                x = x + nn.functional.interpolate(next_cnet, size=x.shape[-2:], mode='bilinear',
+                                                                  align_corners=True).to(x.dtype)
+                        x = block(x, skip)
+                    elif isinstance(block, AttnBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  AttnBlock)):
+                        x = block(x, clip)
+                    elif isinstance(block, TimestepBlock) or (
+                            hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module,
+                                                                                  TimestepBlock)):
+                        x = block(x, r_embed)
+                    else:
+                        x = block(x)
+                if j < len(repmap):
+                    x = repmap[j](x)
+            x = upscaler(x)
+        return x
+
+    def forward(self, x, r, clip_text, clip_text_pooled, clip_img, control=None, **kwargs):
+        # Process the conditioning embeddings
+        r_embed = self.gen_r_embedding(r).to(dtype=x.dtype)
+        for c in self.t_conds:
+            t_cond = kwargs.get(c, torch.zeros_like(r))
+            r_embed = torch.cat([r_embed, self.gen_r_embedding(t_cond).to(dtype=x.dtype)], dim=1)
+        clip = self.gen_c_embeddings(clip_text, clip_text_pooled, clip_img)
+
+        if control is not None:
+            cnet = control.get("input")
+        else:
+            cnet = None
+
+        # Model Blocks
+        x = self.embedding(x)
+        level_outputs = self._down_encode(x, r_embed, clip, cnet)
+        x = self._up_decode(level_outputs, r_embed, clip, cnet)
+        return self.clf(x)
+
+    def update_weights_ema(self, src_model, beta=0.999):
+        for self_params, src_params in zip(self.parameters(), src_model.parameters()):
+            self_params.data = self_params.data * beta + src_params.data.clone().to(self_params.device) * (1 - beta)
+        for self_buffers, src_buffers in zip(self.buffers(), src_model.buffers()):
+            self_buffers.data = self_buffers.data * beta + src_buffers.data.clone().to(self_buffers.device) * (1 - beta)
diff --git a/ComfyUI/comfy/ldm/cascade/stage_c_coder.py b/ComfyUI/comfy/ldm/cascade/stage_c_coder.py
new file mode 100644
index 0000000000000000000000000000000000000000..0cb7c49fc90c434553954772cbf522e1f4a88955
--- /dev/null
+++ b/ComfyUI/comfy/ldm/cascade/stage_c_coder.py
@@ -0,0 +1,95 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Stability AI
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+import torch
+import torchvision
+from torch import nn
+
+
+# EfficientNet
+class EfficientNetEncoder(nn.Module):
+    def __init__(self, c_latent=16):
+        super().__init__()
+        self.backbone = torchvision.models.efficientnet_v2_s().features.eval()
+        self.mapper = nn.Sequential(
+            nn.Conv2d(1280, c_latent, kernel_size=1, bias=False),
+            nn.BatchNorm2d(c_latent, affine=False),  # then normalize them to have mean 0 and std 1
+        )
+        self.mean = nn.Parameter(torch.tensor([0.485, 0.456, 0.406]))
+        self.std = nn.Parameter(torch.tensor([0.229, 0.224, 0.225]))
+
+    def forward(self, x):
+        x = x * 0.5 + 0.5
+        x = (x - self.mean.view([3,1,1])) / self.std.view([3,1,1])
+        o = self.mapper(self.backbone(x))
+        return o
+
+
+# Fast Decoder for Stage C latents. E.g. 16 x 24 x 24 -> 3 x 192 x 192
+class Previewer(nn.Module):
+    def __init__(self, c_in=16, c_hidden=512, c_out=3):
+        super().__init__()
+        self.blocks = nn.Sequential(
+            nn.Conv2d(c_in, c_hidden, kernel_size=1),  # 16 channels to 512 channels
+            nn.GELU(),
+            nn.BatchNorm2d(c_hidden),
+
+            nn.Conv2d(c_hidden, c_hidden, kernel_size=3, padding=1),
+            nn.GELU(),
+            nn.BatchNorm2d(c_hidden),
+
+            nn.ConvTranspose2d(c_hidden, c_hidden // 2, kernel_size=2, stride=2),  # 16 -> 32
+            nn.GELU(),
+            nn.BatchNorm2d(c_hidden // 2),
+
+            nn.Conv2d(c_hidden // 2, c_hidden // 2, kernel_size=3, padding=1),
+            nn.GELU(),
+            nn.BatchNorm2d(c_hidden // 2),
+
+            nn.ConvTranspose2d(c_hidden // 2, c_hidden // 4, kernel_size=2, stride=2),  # 32 -> 64
+            nn.GELU(),
+            nn.BatchNorm2d(c_hidden // 4),
+
+            nn.Conv2d(c_hidden // 4, c_hidden // 4, kernel_size=3, padding=1),
+            nn.GELU(),
+            nn.BatchNorm2d(c_hidden // 4),
+
+            nn.ConvTranspose2d(c_hidden // 4, c_hidden // 4, kernel_size=2, stride=2),  # 64 -> 128
+            nn.GELU(),
+            nn.BatchNorm2d(c_hidden // 4),
+
+            nn.Conv2d(c_hidden // 4, c_hidden // 4, kernel_size=3, padding=1),
+            nn.GELU(),
+            nn.BatchNorm2d(c_hidden // 4),
+
+            nn.Conv2d(c_hidden // 4, c_out, kernel_size=1),
+        )
+
+    def forward(self, x):
+        return (self.blocks(x) - 0.5) * 2.0
+
+class StageC_coder(nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.previewer = Previewer()
+        self.encoder = EfficientNetEncoder()
+
+    def encode(self, x):
+        return self.encoder(x)
+
+    def decode(self, x):
+        return self.previewer(x)
diff --git a/ComfyUI/comfy/ldm/common_dit.py b/ComfyUI/comfy/ldm/common_dit.py
new file mode 100644
index 0000000000000000000000000000000000000000..9016abc44123b5467dd648c34f80d2050fbb562b
--- /dev/null
+++ b/ComfyUI/comfy/ldm/common_dit.py
@@ -0,0 +1,21 @@
+import torch
+import comfy.ops
+
+def pad_to_patch_size(img, patch_size=(2, 2), padding_mode="circular"):
+    if padding_mode == "circular" and torch.jit.is_tracing() or torch.jit.is_scripting():
+        padding_mode = "reflect"
+    pad_h = (patch_size[0] - img.shape[-2] % patch_size[0]) % patch_size[0]
+    pad_w = (patch_size[1] - img.shape[-1] % patch_size[1]) % patch_size[1]
+    return torch.nn.functional.pad(img, (0, pad_w, 0, pad_h), mode=padding_mode)
+
+try:
+    rms_norm_torch = torch.nn.functional.rms_norm
+except:
+    rms_norm_torch = None
+
+def rms_norm(x, weight, eps=1e-6):
+    if rms_norm_torch is not None:
+        return rms_norm_torch(x, weight.shape, weight=comfy.ops.cast_to(weight, dtype=x.dtype, device=x.device), eps=eps)
+    else:
+        rrms = torch.rsqrt(torch.mean(x**2, dim=-1, keepdim=True) + eps)
+        return (x * rrms) * comfy.ops.cast_to(weight, dtype=x.dtype, device=x.device)
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diff --git a/ComfyUI/comfy/ldm/flux/controlnet.py b/ComfyUI/comfy/ldm/flux/controlnet.py
new file mode 100644
index 0000000000000000000000000000000000000000..2598e71729a48549942921b6edd1c8f7bf8c35d6
--- /dev/null
+++ b/ComfyUI/comfy/ldm/flux/controlnet.py
@@ -0,0 +1,151 @@
+#Original code can be found on: https://github.com/XLabs-AI/x-flux/blob/main/src/flux/controlnet.py
+
+import torch
+import math
+from torch import Tensor, nn
+from einops import rearrange, repeat
+
+from .layers import (DoubleStreamBlock, EmbedND, LastLayer,
+                                 MLPEmbedder, SingleStreamBlock,
+                                 timestep_embedding)
+
+from .model import Flux
+import comfy.ldm.common_dit
+
+
+class ControlNetFlux(Flux):
+    def __init__(self, latent_input=False, num_union_modes=0, image_model=None, dtype=None, device=None, operations=None, **kwargs):
+        super().__init__(final_layer=False, dtype=dtype, device=device, operations=operations, **kwargs)
+
+        self.main_model_double = 19
+        self.main_model_single = 38
+        # add ControlNet blocks
+        self.controlnet_blocks = nn.ModuleList([])
+        for _ in range(self.params.depth):
+            controlnet_block = operations.Linear(self.hidden_size, self.hidden_size, dtype=dtype, device=device)
+            self.controlnet_blocks.append(controlnet_block)
+
+        self.controlnet_single_blocks = nn.ModuleList([])
+        for _ in range(self.params.depth_single_blocks):
+            self.controlnet_single_blocks.append(operations.Linear(self.hidden_size, self.hidden_size, dtype=dtype, device=device))
+
+        self.num_union_modes = num_union_modes
+        self.controlnet_mode_embedder = None
+        if self.num_union_modes > 0:
+            self.controlnet_mode_embedder = operations.Embedding(self.num_union_modes, self.hidden_size, dtype=dtype, device=device)
+
+        self.gradient_checkpointing = False
+        self.latent_input = latent_input
+        self.pos_embed_input = operations.Linear(self.in_channels, self.hidden_size, bias=True, dtype=dtype, device=device)
+        if not self.latent_input:
+            self.input_hint_block = nn.Sequential(
+                operations.Conv2d(3, 16, 3, padding=1, dtype=dtype, device=device),
+                nn.SiLU(),
+                operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device),
+                nn.SiLU(),
+                operations.Conv2d(16, 16, 3, padding=1, stride=2, dtype=dtype, device=device),
+                nn.SiLU(),
+                operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device),
+                nn.SiLU(),
+                operations.Conv2d(16, 16, 3, padding=1, stride=2, dtype=dtype, device=device),
+                nn.SiLU(),
+                operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device),
+                nn.SiLU(),
+                operations.Conv2d(16, 16, 3, padding=1, stride=2, dtype=dtype, device=device),
+                nn.SiLU(),
+                operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device)
+            )
+
+    def forward_orig(
+        self,
+        img: Tensor,
+        img_ids: Tensor,
+        controlnet_cond: Tensor,
+        txt: Tensor,
+        txt_ids: Tensor,
+        timesteps: Tensor,
+        y: Tensor,
+        guidance: Tensor = None,
+        control_type: Tensor = None,
+    ) -> Tensor:
+        if img.ndim != 3 or txt.ndim != 3:
+            raise ValueError("Input img and txt tensors must have 3 dimensions.")
+
+        # running on sequences img
+        img = self.img_in(img)
+        if not self.latent_input:
+            controlnet_cond = self.input_hint_block(controlnet_cond)
+            controlnet_cond = rearrange(controlnet_cond, "b c (h ph) (w pw) -> b (h w) (c ph pw)", ph=2, pw=2)
+
+        controlnet_cond = self.pos_embed_input(controlnet_cond)
+        img = img + controlnet_cond
+        vec = self.time_in(timestep_embedding(timesteps, 256))
+        if self.params.guidance_embed:
+            vec = vec + self.guidance_in(timestep_embedding(guidance, 256))
+        vec = vec + self.vector_in(y)
+        txt = self.txt_in(txt)
+
+        if self.controlnet_mode_embedder is not None and len(control_type) > 0:
+            control_cond = self.controlnet_mode_embedder(torch.tensor(control_type, device=img.device), out_dtype=img.dtype).unsqueeze(0).repeat((txt.shape[0], 1, 1))
+            txt = torch.cat([control_cond, txt], dim=1)
+            txt_ids = torch.cat([txt_ids[:,:1], txt_ids], dim=1)
+
+        ids = torch.cat((txt_ids, img_ids), dim=1)
+        pe = self.pe_embedder(ids)
+
+        controlnet_double = ()
+
+        for i in range(len(self.double_blocks)):
+            img, txt = self.double_blocks[i](img=img, txt=txt, vec=vec, pe=pe)
+            controlnet_double = controlnet_double + (self.controlnet_blocks[i](img),)
+
+        img = torch.cat((txt, img), 1)
+
+        controlnet_single = ()
+
+        for i in range(len(self.single_blocks)):
+            img = self.single_blocks[i](img, vec=vec, pe=pe)
+            controlnet_single = controlnet_single + (self.controlnet_single_blocks[i](img[:, txt.shape[1] :, ...]),)
+
+        repeat = math.ceil(self.main_model_double / len(controlnet_double))
+        if self.latent_input:
+            out_input = ()
+            for x in controlnet_double:
+                    out_input += (x,) * repeat
+        else:
+            out_input = (controlnet_double * repeat)
+
+        out = {"input": out_input[:self.main_model_double]}
+        if len(controlnet_single) > 0:
+            repeat = math.ceil(self.main_model_single / len(controlnet_single))
+            out_output = ()
+            if self.latent_input:
+                for x in controlnet_single:
+                        out_output += (x,) * repeat
+            else:
+                out_output = (controlnet_single * repeat)
+            out["output"] = out_output[:self.main_model_single]
+        return out
+
+    def forward(self, x, timesteps, context, y, guidance=None, hint=None, **kwargs):
+        patch_size = 2
+        if self.latent_input:
+            hint = comfy.ldm.common_dit.pad_to_patch_size(hint, (patch_size, patch_size))
+            hint = rearrange(hint, "b c (h ph) (w pw) -> b (h w) (c ph pw)", ph=patch_size, pw=patch_size)
+        else:
+            hint = hint * 2.0 - 1.0
+
+        bs, c, h, w = x.shape
+        x = comfy.ldm.common_dit.pad_to_patch_size(x, (patch_size, patch_size))
+
+        img = rearrange(x, "b c (h ph) (w pw) -> b (h w) (c ph pw)", ph=patch_size, pw=patch_size)
+
+        h_len = ((h + (patch_size // 2)) // patch_size)
+        w_len = ((w + (patch_size // 2)) // patch_size)
+        img_ids = torch.zeros((h_len, w_len, 3), device=x.device, dtype=x.dtype)
+        img_ids[..., 1] = img_ids[..., 1] + torch.linspace(0, h_len - 1, steps=h_len, device=x.device, dtype=x.dtype)[:, None]
+        img_ids[..., 2] = img_ids[..., 2] + torch.linspace(0, w_len - 1, steps=w_len, device=x.device, dtype=x.dtype)[None, :]
+        img_ids = repeat(img_ids, "h w c -> b (h w) c", b=bs)
+
+        txt_ids = torch.zeros((bs, context.shape[1], 3), device=x.device, dtype=x.dtype)
+        return self.forward_orig(img, img_ids, hint, context, txt_ids, timesteps, y, guidance, control_type=kwargs.get("control_type", []))
diff --git a/ComfyUI/comfy/ldm/flux/layers.py b/ComfyUI/comfy/ldm/flux/layers.py
new file mode 100644
index 0000000000000000000000000000000000000000..dabab3e33023308785b3594a96dc9796e777dcdb
--- /dev/null
+++ b/ComfyUI/comfy/ldm/flux/layers.py
@@ -0,0 +1,249 @@
+import math
+from dataclasses import dataclass
+
+import torch
+from torch import Tensor, nn
+
+from .math import attention, rope
+import comfy.ops
+import comfy.ldm.common_dit
+
+
+class EmbedND(nn.Module):
+    def __init__(self, dim: int, theta: int, axes_dim: list):
+        super().__init__()
+        self.dim = dim
+        self.theta = theta
+        self.axes_dim = axes_dim
+
+    def forward(self, ids: Tensor) -> Tensor:
+        n_axes = ids.shape[-1]
+        emb = torch.cat(
+            [rope(ids[..., i], self.axes_dim[i], self.theta) for i in range(n_axes)],
+            dim=-3,
+        )
+
+        return emb.unsqueeze(1)
+
+
+def timestep_embedding(t: Tensor, dim, max_period=10000, time_factor: float = 1000.0):
+    """
+    Create sinusoidal timestep embeddings.
+    :param t: a 1-D Tensor of N indices, one per batch element.
+                      These may be fractional.
+    :param dim: the dimension of the output.
+    :param max_period: controls the minimum frequency of the embeddings.
+    :return: an (N, D) Tensor of positional embeddings.
+    """
+    t = time_factor * t
+    half = dim // 2
+    freqs = torch.exp(-math.log(max_period) * torch.arange(start=0, end=half, dtype=torch.float32, device=t.device) / half)
+
+    args = t[:, None].float() * freqs[None]
+    embedding = torch.cat([torch.cos(args), torch.sin(args)], dim=-1)
+    if dim % 2:
+        embedding = torch.cat([embedding, torch.zeros_like(embedding[:, :1])], dim=-1)
+    if torch.is_floating_point(t):
+        embedding = embedding.to(t)
+    return embedding
+
+class MLPEmbedder(nn.Module):
+    def __init__(self, in_dim: int, hidden_dim: int, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.in_layer = operations.Linear(in_dim, hidden_dim, bias=True, dtype=dtype, device=device)
+        self.silu = nn.SiLU()
+        self.out_layer = operations.Linear(hidden_dim, hidden_dim, bias=True, dtype=dtype, device=device)
+
+    def forward(self, x: Tensor) -> Tensor:
+        return self.out_layer(self.silu(self.in_layer(x)))
+
+
+class RMSNorm(torch.nn.Module):
+    def __init__(self, dim: int, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.scale = nn.Parameter(torch.empty((dim), dtype=dtype, device=device))
+
+    def forward(self, x: Tensor):
+        return comfy.ldm.common_dit.rms_norm(x, self.scale, 1e-6)
+
+
+class QKNorm(torch.nn.Module):
+    def __init__(self, dim: int, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.query_norm = RMSNorm(dim, dtype=dtype, device=device, operations=operations)
+        self.key_norm = RMSNorm(dim, dtype=dtype, device=device, operations=operations)
+
+    def forward(self, q: Tensor, k: Tensor, v: Tensor) -> tuple:
+        q = self.query_norm(q)
+        k = self.key_norm(k)
+        return q.to(v), k.to(v)
+
+
+class SelfAttention(nn.Module):
+    def __init__(self, dim: int, num_heads: int = 8, qkv_bias: bool = False, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.num_heads = num_heads
+        head_dim = dim // num_heads
+
+        self.qkv = operations.Linear(dim, dim * 3, bias=qkv_bias, dtype=dtype, device=device)
+        self.norm = QKNorm(head_dim, dtype=dtype, device=device, operations=operations)
+        self.proj = operations.Linear(dim, dim, dtype=dtype, device=device)
+
+
+@dataclass
+class ModulationOut:
+    shift: Tensor
+    scale: Tensor
+    gate: Tensor
+
+
+class Modulation(nn.Module):
+    def __init__(self, dim: int, double: bool, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.is_double = double
+        self.multiplier = 6 if double else 3
+        self.lin = operations.Linear(dim, self.multiplier * dim, bias=True, dtype=dtype, device=device)
+
+    def forward(self, vec: Tensor) -> tuple:
+        out = self.lin(nn.functional.silu(vec))[:, None, :].chunk(self.multiplier, dim=-1)
+
+        return (
+            ModulationOut(*out[:3]),
+            ModulationOut(*out[3:]) if self.is_double else None,
+        )
+
+
+class DoubleStreamBlock(nn.Module):
+    def __init__(self, hidden_size: int, num_heads: int, mlp_ratio: float, qkv_bias: bool = False, dtype=None, device=None, operations=None):
+        super().__init__()
+
+        mlp_hidden_dim = int(hidden_size * mlp_ratio)
+        self.num_heads = num_heads
+        self.hidden_size = hidden_size
+        self.img_mod = Modulation(hidden_size, double=True, dtype=dtype, device=device, operations=operations)
+        self.img_norm1 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.img_attn = SelfAttention(dim=hidden_size, num_heads=num_heads, qkv_bias=qkv_bias, dtype=dtype, device=device, operations=operations)
+
+        self.img_norm2 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.img_mlp = nn.Sequential(
+            operations.Linear(hidden_size, mlp_hidden_dim, bias=True, dtype=dtype, device=device),
+            nn.GELU(approximate="tanh"),
+            operations.Linear(mlp_hidden_dim, hidden_size, bias=True, dtype=dtype, device=device),
+        )
+
+        self.txt_mod = Modulation(hidden_size, double=True, dtype=dtype, device=device, operations=operations)
+        self.txt_norm1 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.txt_attn = SelfAttention(dim=hidden_size, num_heads=num_heads, qkv_bias=qkv_bias, dtype=dtype, device=device, operations=operations)
+
+        self.txt_norm2 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.txt_mlp = nn.Sequential(
+            operations.Linear(hidden_size, mlp_hidden_dim, bias=True, dtype=dtype, device=device),
+            nn.GELU(approximate="tanh"),
+            operations.Linear(mlp_hidden_dim, hidden_size, bias=True, dtype=dtype, device=device),
+        )
+
+    def forward(self, img: Tensor, txt: Tensor, vec: Tensor, pe: Tensor):
+        img_mod1, img_mod2 = self.img_mod(vec)
+        txt_mod1, txt_mod2 = self.txt_mod(vec)
+
+        # prepare image for attention
+        img_modulated = self.img_norm1(img)
+        img_modulated = (1 + img_mod1.scale) * img_modulated + img_mod1.shift
+        img_qkv = self.img_attn.qkv(img_modulated)
+        img_q, img_k, img_v = img_qkv.view(img_qkv.shape[0], img_qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
+        img_q, img_k = self.img_attn.norm(img_q, img_k, img_v)
+
+        # prepare txt for attention
+        txt_modulated = self.txt_norm1(txt)
+        txt_modulated = (1 + txt_mod1.scale) * txt_modulated + txt_mod1.shift
+        txt_qkv = self.txt_attn.qkv(txt_modulated)
+        txt_q, txt_k, txt_v = txt_qkv.view(txt_qkv.shape[0], txt_qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
+        txt_q, txt_k = self.txt_attn.norm(txt_q, txt_k, txt_v)
+
+        # run actual attention
+        attn = attention(torch.cat((txt_q, img_q), dim=2),
+                         torch.cat((txt_k, img_k), dim=2),
+                         torch.cat((txt_v, img_v), dim=2), pe=pe)
+
+        txt_attn, img_attn = attn[:, : txt.shape[1]], attn[:, txt.shape[1] :]
+
+        # calculate the img bloks
+        img = img + img_mod1.gate * self.img_attn.proj(img_attn)
+        img = img + img_mod2.gate * self.img_mlp((1 + img_mod2.scale) * self.img_norm2(img) + img_mod2.shift)
+
+        # calculate the txt bloks
+        txt += txt_mod1.gate * self.txt_attn.proj(txt_attn)
+        txt += txt_mod2.gate * self.txt_mlp((1 + txt_mod2.scale) * self.txt_norm2(txt) + txt_mod2.shift)
+
+        if txt.dtype == torch.float16:
+            txt = torch.nan_to_num(txt, nan=0.0, posinf=65504, neginf=-65504)
+
+        return img, txt
+
+
+class SingleStreamBlock(nn.Module):
+    """
+    A DiT block with parallel linear layers as described in
+    https://arxiv.org/abs/2302.05442 and adapted modulation interface.
+    """
+
+    def __init__(
+        self,
+        hidden_size: int,
+        num_heads: int,
+        mlp_ratio: float = 4.0,
+        qk_scale: float = None,
+        dtype=None,
+        device=None,
+        operations=None
+    ):
+        super().__init__()
+        self.hidden_dim = hidden_size
+        self.num_heads = num_heads
+        head_dim = hidden_size // num_heads
+        self.scale = qk_scale or head_dim**-0.5
+
+        self.mlp_hidden_dim = int(hidden_size * mlp_ratio)
+        # qkv and mlp_in
+        self.linear1 = operations.Linear(hidden_size, hidden_size * 3 + self.mlp_hidden_dim, dtype=dtype, device=device)
+        # proj and mlp_out
+        self.linear2 = operations.Linear(hidden_size + self.mlp_hidden_dim, hidden_size, dtype=dtype, device=device)
+
+        self.norm = QKNorm(head_dim, dtype=dtype, device=device, operations=operations)
+
+        self.hidden_size = hidden_size
+        self.pre_norm = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+
+        self.mlp_act = nn.GELU(approximate="tanh")
+        self.modulation = Modulation(hidden_size, double=False, dtype=dtype, device=device, operations=operations)
+
+    def forward(self, x: Tensor, vec: Tensor, pe: Tensor) -> Tensor:
+        mod, _ = self.modulation(vec)
+        x_mod = (1 + mod.scale) * self.pre_norm(x) + mod.shift
+        qkv, mlp = torch.split(self.linear1(x_mod), [3 * self.hidden_size, self.mlp_hidden_dim], dim=-1)
+
+        q, k, v = qkv.view(qkv.shape[0], qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
+        q, k = self.norm(q, k, v)
+
+        # compute attention
+        attn = attention(q, k, v, pe=pe)
+        # compute activation in mlp stream, cat again and run second linear layer
+        output = self.linear2(torch.cat((attn, self.mlp_act(mlp)), 2))
+        x += mod.gate * output
+        if x.dtype == torch.float16:
+            x = torch.nan_to_num(x, nan=0.0, posinf=65504, neginf=-65504)
+        return x
+
+
+class LastLayer(nn.Module):
+    def __init__(self, hidden_size: int, patch_size: int, out_channels: int, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.norm_final = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.linear = operations.Linear(hidden_size, patch_size * patch_size * out_channels, bias=True, dtype=dtype, device=device)
+        self.adaLN_modulation = nn.Sequential(nn.SiLU(), operations.Linear(hidden_size, 2 * hidden_size, bias=True, dtype=dtype, device=device))
+
+    def forward(self, x: Tensor, vec: Tensor) -> Tensor:
+        shift, scale = self.adaLN_modulation(vec).chunk(2, dim=1)
+        x = (1 + scale[:, None, :]) * self.norm_final(x) + shift[:, None, :]
+        x = self.linear(x)
+        return x
diff --git a/ComfyUI/comfy/ldm/flux/math.py b/ComfyUI/comfy/ldm/flux/math.py
new file mode 100644
index 0000000000000000000000000000000000000000..136ce2aa83cf6f80713a37d6f7ad5ba62ce5b186
--- /dev/null
+++ b/ComfyUI/comfy/ldm/flux/math.py
@@ -0,0 +1,35 @@
+import torch
+from einops import rearrange
+from torch import Tensor
+from comfy.ldm.modules.attention import optimized_attention
+import comfy.model_management
+
+def attention(q: Tensor, k: Tensor, v: Tensor, pe: Tensor) -> Tensor:
+    q, k = apply_rope(q, k, pe)
+
+    heads = q.shape[1]
+    x = optimized_attention(q, k, v, heads, skip_reshape=True)
+    return x
+
+
+def rope(pos: Tensor, dim: int, theta: int) -> Tensor:
+    assert dim % 2 == 0
+    if comfy.model_management.is_device_mps(pos.device) or comfy.model_management.is_intel_xpu():
+        device = torch.device("cpu")
+    else:
+        device = pos.device
+
+    scale = torch.linspace(0, (dim - 2) / dim, steps=dim//2, dtype=torch.float64, device=device)
+    omega = 1.0 / (theta**scale)
+    out = torch.einsum("...n,d->...nd", pos.to(dtype=torch.float32, device=device), omega)
+    out = torch.stack([torch.cos(out), -torch.sin(out), torch.sin(out), torch.cos(out)], dim=-1)
+    out = rearrange(out, "b n d (i j) -> b n d i j", i=2, j=2)
+    return out.to(dtype=torch.float32, device=pos.device)
+
+
+def apply_rope(xq: Tensor, xk: Tensor, freqs_cis: Tensor):
+    xq_ = xq.float().reshape(*xq.shape[:-1], -1, 1, 2)
+    xk_ = xk.float().reshape(*xk.shape[:-1], -1, 1, 2)
+    xq_out = freqs_cis[..., 0] * xq_[..., 0] + freqs_cis[..., 1] * xq_[..., 1]
+    xk_out = freqs_cis[..., 0] * xk_[..., 0] + freqs_cis[..., 1] * xk_[..., 1]
+    return xq_out.reshape(*xq.shape).type_as(xq), xk_out.reshape(*xk.shape).type_as(xk)
diff --git a/ComfyUI/comfy/ldm/flux/model.py b/ComfyUI/comfy/ldm/flux/model.py
new file mode 100644
index 0000000000000000000000000000000000000000..63970cad24880bf417fc9f5fa66538cf1072ed0f
--- /dev/null
+++ b/ComfyUI/comfy/ldm/flux/model.py
@@ -0,0 +1,160 @@
+#Original code can be found on: https://github.com/black-forest-labs/flux
+
+from dataclasses import dataclass
+
+import torch
+from torch import Tensor, nn
+
+from .layers import (
+    DoubleStreamBlock,
+    EmbedND,
+    LastLayer,
+    MLPEmbedder,
+    SingleStreamBlock,
+    timestep_embedding,
+)
+
+from einops import rearrange, repeat
+import comfy.ldm.common_dit
+
+@dataclass
+class FluxParams:
+    in_channels: int
+    vec_in_dim: int
+    context_in_dim: int
+    hidden_size: int
+    mlp_ratio: float
+    num_heads: int
+    depth: int
+    depth_single_blocks: int
+    axes_dim: list
+    theta: int
+    qkv_bias: bool
+    guidance_embed: bool
+
+
+class Flux(nn.Module):
+    """
+    Transformer model for flow matching on sequences.
+    """
+
+    def __init__(self, image_model=None, final_layer=True, dtype=None, device=None, operations=None, **kwargs):
+        super().__init__()
+        self.dtype = dtype
+        params = FluxParams(**kwargs)
+        self.params = params
+        self.in_channels = params.in_channels * 2 * 2
+        self.out_channels = self.in_channels
+        if params.hidden_size % params.num_heads != 0:
+            raise ValueError(
+                f"Hidden size {params.hidden_size} must be divisible by num_heads {params.num_heads}"
+            )
+        pe_dim = params.hidden_size // params.num_heads
+        if sum(params.axes_dim) != pe_dim:
+            raise ValueError(f"Got {params.axes_dim} but expected positional dim {pe_dim}")
+        self.hidden_size = params.hidden_size
+        self.num_heads = params.num_heads
+        self.pe_embedder = EmbedND(dim=pe_dim, theta=params.theta, axes_dim=params.axes_dim)
+        self.img_in = operations.Linear(self.in_channels, self.hidden_size, bias=True, dtype=dtype, device=device)
+        self.time_in = MLPEmbedder(in_dim=256, hidden_dim=self.hidden_size, dtype=dtype, device=device, operations=operations)
+        self.vector_in = MLPEmbedder(params.vec_in_dim, self.hidden_size, dtype=dtype, device=device, operations=operations)
+        self.guidance_in = (
+            MLPEmbedder(in_dim=256, hidden_dim=self.hidden_size, dtype=dtype, device=device, operations=operations) if params.guidance_embed else nn.Identity()
+        )
+        self.txt_in = operations.Linear(params.context_in_dim, self.hidden_size, dtype=dtype, device=device)
+
+        self.double_blocks = nn.ModuleList(
+            [
+                DoubleStreamBlock(
+                    self.hidden_size,
+                    self.num_heads,
+                    mlp_ratio=params.mlp_ratio,
+                    qkv_bias=params.qkv_bias,
+                    dtype=dtype, device=device, operations=operations
+                )
+                for _ in range(params.depth)
+            ]
+        )
+
+        self.single_blocks = nn.ModuleList(
+            [
+                SingleStreamBlock(self.hidden_size, self.num_heads, mlp_ratio=params.mlp_ratio, dtype=dtype, device=device, operations=operations)
+                for _ in range(params.depth_single_blocks)
+            ]
+        )
+
+        if final_layer:
+            self.final_layer = LastLayer(self.hidden_size, 1, self.out_channels, dtype=dtype, device=device, operations=operations)
+
+    def forward_orig(
+        self,
+        img: Tensor,
+        img_ids: Tensor,
+        txt: Tensor,
+        txt_ids: Tensor,
+        timesteps: Tensor,
+        y: Tensor,
+        guidance: Tensor = None,
+        control=None,
+    ) -> Tensor:
+        if img.ndim != 3 or txt.ndim != 3:
+            raise ValueError("Input img and txt tensors must have 3 dimensions.")
+
+        # running on sequences img
+        img = self.img_in(img)
+        vec = self.time_in(timestep_embedding(timesteps, 256).to(img.dtype))
+        if self.params.guidance_embed:
+            if guidance is None:
+                raise ValueError("Didn't get guidance strength for guidance distilled model.")
+            vec = vec + self.guidance_in(timestep_embedding(guidance, 256).to(img.dtype))
+
+        vec = vec + self.vector_in(y)
+        txt = self.txt_in(txt)
+
+        ids = torch.cat((txt_ids, img_ids), dim=1)
+        pe = self.pe_embedder(ids)
+
+        for i, block in enumerate(self.double_blocks):
+            img, txt = block(img=img, txt=txt, vec=vec, pe=pe)
+
+            if control is not None: # Controlnet
+                control_i = control.get("input")
+                if i < len(control_i):
+                    add = control_i[i]
+                    if add is not None:
+                        img += add
+
+        img = torch.cat((txt, img), 1)
+
+        for i, block in enumerate(self.single_blocks):
+            img = block(img, vec=vec, pe=pe)
+
+            if control is not None: # Controlnet
+                control_o = control.get("output")
+                if i < len(control_o):
+                    add = control_o[i]
+                    if add is not None:
+                        img[:, txt.shape[1] :, ...] += add
+
+        img = img[:, txt.shape[1] :, ...]
+
+        img = self.final_layer(img, vec)  # (N, T, patch_size ** 2 * out_channels)
+        return img
+
+    def forward(self, x, timestep, context, y, guidance, control=None, **kwargs):
+        bs, c, h, w = x.shape
+        patch_size = 2
+        x = comfy.ldm.common_dit.pad_to_patch_size(x, (patch_size, patch_size))
+
+        img = rearrange(x, "b c (h ph) (w pw) -> b (h w) (c ph pw)", ph=patch_size, pw=patch_size)
+
+        h_len = ((h + (patch_size // 2)) // patch_size)
+        w_len = ((w + (patch_size // 2)) // patch_size)
+        img_ids = torch.zeros((h_len, w_len, 3), device=x.device, dtype=x.dtype)
+        img_ids[..., 1] = img_ids[..., 1] + torch.linspace(0, h_len - 1, steps=h_len, device=x.device, dtype=x.dtype)[:, None]
+        img_ids[..., 2] = img_ids[..., 2] + torch.linspace(0, w_len - 1, steps=w_len, device=x.device, dtype=x.dtype)[None, :]
+        img_ids = repeat(img_ids, "h w c -> b (h w) c", b=bs)
+
+        txt_ids = torch.zeros((bs, context.shape[1], 3), device=x.device, dtype=x.dtype)
+        out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control)
+        return rearrange(out, "b (h w) (c ph pw) -> b c (h ph) (w pw)", h=h_len, w=w_len, ph=2, pw=2)[:,:,:h,:w]
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--- /dev/null
+++ b/ComfyUI/comfy/ldm/hydit/attn_layers.py
@@ -0,0 +1,218 @@
+import torch
+import torch.nn as nn
+from typing import Tuple, Union, Optional
+from comfy.ldm.modules.attention import optimized_attention
+
+
+def reshape_for_broadcast(freqs_cis: Union[torch.Tensor, Tuple[torch.Tensor]], x: torch.Tensor, head_first=False):
+    """
+    Reshape frequency tensor for broadcasting it with another tensor.
+
+    This function reshapes the frequency tensor to have the same shape as the target tensor 'x'
+    for the purpose of broadcasting the frequency tensor during element-wise operations.
+
+    Args:
+        freqs_cis (Union[torch.Tensor, Tuple[torch.Tensor]]): Frequency tensor to be reshaped.
+        x (torch.Tensor): Target tensor for broadcasting compatibility.
+        head_first (bool): head dimension first (except batch dim) or not.
+
+    Returns:
+        torch.Tensor: Reshaped frequency tensor.
+
+    Raises:
+        AssertionError: If the frequency tensor doesn't match the expected shape.
+        AssertionError: If the target tensor 'x' doesn't have the expected number of dimensions.
+    """
+    ndim = x.ndim
+    assert 0 <= 1 < ndim
+
+    if isinstance(freqs_cis, tuple):
+        # freqs_cis: (cos, sin) in real space
+        if head_first:
+            assert freqs_cis[0].shape == (x.shape[-2], x.shape[-1]), f'freqs_cis shape {freqs_cis[0].shape} does not match x shape {x.shape}'
+            shape = [d if i == ndim - 2 or i == ndim - 1 else 1 for i, d in enumerate(x.shape)]
+        else:
+            assert freqs_cis[0].shape == (x.shape[1], x.shape[-1]), f'freqs_cis shape {freqs_cis[0].shape} does not match x shape {x.shape}'
+            shape = [d if i == 1 or i == ndim - 1 else 1 for i, d in enumerate(x.shape)]
+        return freqs_cis[0].view(*shape), freqs_cis[1].view(*shape)
+    else:
+        # freqs_cis: values in complex space
+        if head_first:
+            assert freqs_cis.shape == (x.shape[-2], x.shape[-1]), f'freqs_cis shape {freqs_cis.shape} does not match x shape {x.shape}'
+            shape = [d if i == ndim - 2 or i == ndim - 1 else 1 for i, d in enumerate(x.shape)]
+        else:
+            assert freqs_cis.shape == (x.shape[1], x.shape[-1]), f'freqs_cis shape {freqs_cis.shape} does not match x shape {x.shape}'
+            shape = [d if i == 1 or i == ndim - 1 else 1 for i, d in enumerate(x.shape)]
+        return freqs_cis.view(*shape)
+
+
+def rotate_half(x):
+    x_real, x_imag = x.reshape(*x.shape[:-1], -1, 2).unbind(-1)  # [B, S, H, D//2]
+    return torch.stack([-x_imag, x_real], dim=-1).flatten(3)
+
+
+def apply_rotary_emb(
+        xq: torch.Tensor,
+        xk: Optional[torch.Tensor],
+        freqs_cis: Union[torch.Tensor, Tuple[torch.Tensor]],
+        head_first: bool = False,
+) -> Tuple[torch.Tensor, torch.Tensor]:
+    """
+    Apply rotary embeddings to input tensors using the given frequency tensor.
+
+    This function applies rotary embeddings to the given query 'xq' and key 'xk' tensors using the provided
+    frequency tensor 'freqs_cis'. The input tensors are reshaped as complex numbers, and the frequency tensor
+    is reshaped for broadcasting compatibility. The resulting tensors contain rotary embeddings and are
+    returned as real tensors.
+
+    Args:
+        xq (torch.Tensor): Query tensor to apply rotary embeddings. [B, S, H, D]
+        xk (torch.Tensor): Key tensor to apply rotary embeddings.   [B, S, H, D]
+        freqs_cis (Union[torch.Tensor, Tuple[torch.Tensor]]): Precomputed frequency tensor for complex exponentials.
+        head_first (bool): head dimension first (except batch dim) or not.
+
+    Returns:
+        Tuple[torch.Tensor, torch.Tensor]: Tuple of modified query tensor and key tensor with rotary embeddings.
+
+    """
+    xk_out = None
+    if isinstance(freqs_cis, tuple):
+        cos, sin = reshape_for_broadcast(freqs_cis, xq, head_first)    # [S, D]
+        xq_out = (xq * cos + rotate_half(xq) * sin)
+        if xk is not None:
+            xk_out = (xk * cos + rotate_half(xk) * sin)
+    else:
+        xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))  # [B, S, H, D//2]
+        freqs_cis = reshape_for_broadcast(freqs_cis, xq_, head_first).to(xq.device)   # [S, D//2] --> [1, S, 1, D//2]
+        xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3).type_as(xq)
+        if xk is not None:
+            xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))  # [B, S, H, D//2]
+            xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3).type_as(xk)
+
+    return xq_out, xk_out
+
+
+
+class CrossAttention(nn.Module):
+    """
+    Use QK Normalization.
+    """
+    def __init__(self,
+                 qdim,
+                 kdim,
+                 num_heads,
+                 qkv_bias=True,
+                 qk_norm=False,
+                 attn_drop=0.0,
+                 proj_drop=0.0,
+                 attn_precision=None,
+                 device=None,
+                 dtype=None,
+                 operations=None,
+                 ):
+        factory_kwargs = {'device': device, 'dtype': dtype}
+        super().__init__()
+        self.attn_precision = attn_precision
+        self.qdim = qdim
+        self.kdim = kdim
+        self.num_heads = num_heads
+        assert self.qdim % num_heads == 0, "self.qdim must be divisible by num_heads"
+        self.head_dim = self.qdim // num_heads
+        assert self.head_dim % 8 == 0 and self.head_dim <= 128, "Only support head_dim <= 128 and divisible by 8"
+        self.scale = self.head_dim ** -0.5
+
+        self.q_proj = operations.Linear(qdim, qdim, bias=qkv_bias, **factory_kwargs)
+        self.kv_proj = operations.Linear(kdim, 2 * qdim, bias=qkv_bias, **factory_kwargs)
+
+        # TODO: eps should be 1 / 65530 if using fp16
+        self.q_norm = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) if qk_norm else nn.Identity()
+        self.k_norm = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) if qk_norm else nn.Identity()
+        self.attn_drop = nn.Dropout(attn_drop)
+        self.out_proj = operations.Linear(qdim, qdim, bias=qkv_bias, **factory_kwargs)
+        self.proj_drop = nn.Dropout(proj_drop)
+
+    def forward(self, x, y, freqs_cis_img=None):
+        """
+        Parameters
+        ----------
+        x: torch.Tensor
+            (batch, seqlen1, hidden_dim) (where hidden_dim = num heads * head dim)
+        y: torch.Tensor
+            (batch, seqlen2, hidden_dim2)
+        freqs_cis_img: torch.Tensor
+            (batch, hidden_dim // 2), RoPE for image
+        """
+        b, s1, c = x.shape     # [b, s1, D]
+        _, s2, c = y.shape     # [b, s2, 1024]
+
+        q = self.q_proj(x).view(b, s1, self.num_heads, self.head_dim)   # [b, s1, h, d]
+        kv = self.kv_proj(y).view(b, s2, 2, self.num_heads, self.head_dim)    # [b, s2, 2, h, d]
+        k, v = kv.unbind(dim=2) # [b, s, h, d]
+        q = self.q_norm(q)
+        k = self.k_norm(k)
+
+        # Apply RoPE if needed
+        if freqs_cis_img is not None:
+            qq, _ = apply_rotary_emb(q, None, freqs_cis_img)
+            assert qq.shape == q.shape, f'qq: {qq.shape}, q: {q.shape}'
+            q = qq
+
+        q = q.transpose(-2, -3).contiguous()        # q ->  B, L1, H, C - B, H, L1, C
+        k = k.transpose(-2, -3).contiguous()      # k ->  B, L2, H, C - B, H, C, L2
+        v = v.transpose(-2, -3).contiguous() 
+
+        context = optimized_attention(q, k, v, self.num_heads, skip_reshape=True, attn_precision=self.attn_precision)
+
+        out = self.out_proj(context)  # context.reshape - B, L1, -1
+        out = self.proj_drop(out)
+
+        out_tuple = (out,)
+
+        return out_tuple
+
+
+class Attention(nn.Module):
+    """
+    We rename some layer names to align with flash attention
+    """
+    def __init__(self, dim, num_heads, qkv_bias=True, qk_norm=False, attn_drop=0., proj_drop=0., attn_precision=None, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.attn_precision = attn_precision
+        self.dim = dim
+        self.num_heads = num_heads
+        assert self.dim % num_heads == 0, 'dim should be divisible by num_heads'
+        self.head_dim = self.dim // num_heads
+        # This assertion is aligned with flash attention
+        assert self.head_dim % 8 == 0 and self.head_dim <= 128, "Only support head_dim <= 128 and divisible by 8"
+        self.scale = self.head_dim ** -0.5
+
+        # qkv --> Wqkv
+        self.Wqkv = operations.Linear(dim, dim * 3, bias=qkv_bias, dtype=dtype, device=device)
+        # TODO: eps should be 1 / 65530 if using fp16
+        self.q_norm = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) if qk_norm else nn.Identity()
+        self.k_norm = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) if qk_norm else nn.Identity()
+        self.attn_drop = nn.Dropout(attn_drop)
+        self.out_proj = operations.Linear(dim, dim, dtype=dtype, device=device)
+        self.proj_drop = nn.Dropout(proj_drop)
+
+    def forward(self, x, freqs_cis_img=None):
+        B, N, C = x.shape
+        qkv = self.Wqkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)   # [3, b, h, s, d]
+        q, k, v = qkv.unbind(0)     # [b, h, s, d]
+        q = self.q_norm(q)          # [b, h, s, d]
+        k = self.k_norm(k)          # [b, h, s, d]
+
+        # Apply RoPE if needed
+        if freqs_cis_img is not None:
+            qq, kk = apply_rotary_emb(q, k, freqs_cis_img, head_first=True)
+            assert qq.shape == q.shape and kk.shape == k.shape, \
+                f'qq: {qq.shape}, q: {q.shape}, kk: {kk.shape}, k: {k.shape}'
+            q, k = qq, kk
+
+        x = optimized_attention(q, k, v, self.num_heads, skip_reshape=True, attn_precision=self.attn_precision)
+        x = self.out_proj(x)
+        x = self.proj_drop(x)
+
+        out_tuple = (x,)
+
+        return out_tuple
diff --git a/ComfyUI/comfy/ldm/hydit/controlnet.py b/ComfyUI/comfy/ldm/hydit/controlnet.py
new file mode 100644
index 0000000000000000000000000000000000000000..cd71fca31aaa65b7e6b085474852bb2c42bd6579
--- /dev/null
+++ b/ComfyUI/comfy/ldm/hydit/controlnet.py
@@ -0,0 +1,321 @@
+from typing import Any, Optional
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+from torch.utils import checkpoint
+
+from comfy.ldm.modules.diffusionmodules.mmdit import (
+    Mlp,
+    TimestepEmbedder,
+    PatchEmbed,
+    RMSNorm,
+)
+from comfy.ldm.modules.diffusionmodules.util import timestep_embedding
+from .poolers import AttentionPool
+
+import comfy.latent_formats
+from .models import HunYuanDiTBlock, calc_rope
+
+from .posemb_layers import get_2d_rotary_pos_embed, get_fill_resize_and_crop
+
+
+class HunYuanControlNet(nn.Module):
+    """
+    HunYuanDiT: Diffusion model with a Transformer backbone.
+
+    Inherit ModelMixin and ConfigMixin to be compatible with the sampler StableDiffusionPipeline of diffusers.
+
+    Inherit PeftAdapterMixin to be compatible with the PEFT training pipeline.
+
+    Parameters
+    ----------
+    args: argparse.Namespace
+        The arguments parsed by argparse.
+    input_size: tuple
+        The size of the input image.
+    patch_size: int
+        The size of the patch.
+    in_channels: int
+        The number of input channels.
+    hidden_size: int
+        The hidden size of the transformer backbone.
+    depth: int
+        The number of transformer blocks.
+    num_heads: int
+        The number of attention heads.
+    mlp_ratio: float
+        The ratio of the hidden size of the MLP in the transformer block.
+    log_fn: callable
+        The logging function.
+    """
+
+    def __init__(
+        self,
+        input_size: tuple = 128,
+        patch_size: int = 2,
+        in_channels: int = 4,
+        hidden_size: int = 1408,
+        depth: int = 40,
+        num_heads: int = 16,
+        mlp_ratio: float = 4.3637,
+        text_states_dim=1024,
+        text_states_dim_t5=2048,
+        text_len=77,
+        text_len_t5=256,
+        qk_norm=True,  # See http://arxiv.org/abs/2302.05442 for details.
+        size_cond=False,
+        use_style_cond=False,
+        learn_sigma=True,
+        norm="layer",
+        log_fn: callable = print,
+        attn_precision=None,
+        dtype=None,
+        device=None,
+        operations=None,
+        **kwargs,
+    ):
+        super().__init__()
+        self.log_fn = log_fn
+        self.depth = depth
+        self.learn_sigma = learn_sigma
+        self.in_channels = in_channels
+        self.out_channels = in_channels * 2 if learn_sigma else in_channels
+        self.patch_size = patch_size
+        self.num_heads = num_heads
+        self.hidden_size = hidden_size
+        self.text_states_dim = text_states_dim
+        self.text_states_dim_t5 = text_states_dim_t5
+        self.text_len = text_len
+        self.text_len_t5 = text_len_t5
+        self.size_cond = size_cond
+        self.use_style_cond = use_style_cond
+        self.norm = norm
+        self.dtype = dtype
+        self.latent_format = comfy.latent_formats.SDXL
+
+        self.mlp_t5 = nn.Sequential(
+            nn.Linear(
+                self.text_states_dim_t5,
+                self.text_states_dim_t5 * 4,
+                bias=True,
+                dtype=dtype,
+                device=device,
+            ),
+            nn.SiLU(),
+            nn.Linear(
+                self.text_states_dim_t5 * 4,
+                self.text_states_dim,
+                bias=True,
+                dtype=dtype,
+                device=device,
+            ),
+        )
+        # learnable replace
+        self.text_embedding_padding = nn.Parameter(
+            torch.randn(
+                self.text_len + self.text_len_t5,
+                self.text_states_dim,
+                dtype=dtype,
+                device=device,
+            )
+        )
+
+        # Attention pooling
+        pooler_out_dim = 1024
+        self.pooler = AttentionPool(
+            self.text_len_t5,
+            self.text_states_dim_t5,
+            num_heads=8,
+            output_dim=pooler_out_dim,
+            dtype=dtype,
+            device=device,
+            operations=operations,
+        )
+
+        # Dimension of the extra input vectors
+        self.extra_in_dim = pooler_out_dim
+
+        if self.size_cond:
+            # Image size and crop size conditions
+            self.extra_in_dim += 6 * 256
+
+        if self.use_style_cond:
+            # Here we use a default learned embedder layer for future extension.
+            self.style_embedder = nn.Embedding(
+                1, hidden_size, dtype=dtype, device=device
+            )
+            self.extra_in_dim += hidden_size
+
+        # Text embedding for `add`
+        self.x_embedder = PatchEmbed(
+            input_size,
+            patch_size,
+            in_channels,
+            hidden_size,
+            dtype=dtype,
+            device=device,
+            operations=operations,
+        )
+        self.t_embedder = TimestepEmbedder(
+            hidden_size, dtype=dtype, device=device, operations=operations
+        )
+        self.extra_embedder = nn.Sequential(
+            operations.Linear(
+                self.extra_in_dim, hidden_size * 4, dtype=dtype, device=device
+            ),
+            nn.SiLU(),
+            operations.Linear(
+                hidden_size * 4, hidden_size, bias=True, dtype=dtype, device=device
+            ),
+        )
+
+        # Image embedding
+        num_patches = self.x_embedder.num_patches
+
+        # HUnYuanDiT Blocks
+        self.blocks = nn.ModuleList(
+            [
+                HunYuanDiTBlock(
+                    hidden_size=hidden_size,
+                    c_emb_size=hidden_size,
+                    num_heads=num_heads,
+                    mlp_ratio=mlp_ratio,
+                    text_states_dim=self.text_states_dim,
+                    qk_norm=qk_norm,
+                    norm_type=self.norm,
+                    skip=False,
+                    attn_precision=attn_precision,
+                    dtype=dtype,
+                    device=device,
+                    operations=operations,
+                )
+                for _ in range(19)
+            ]
+        )
+
+        # Input zero linear for the first block
+        self.before_proj = operations.Linear(self.hidden_size, self.hidden_size, dtype=dtype, device=device)
+
+
+        # Output zero linear for the every block
+        self.after_proj_list = nn.ModuleList(
+            [
+
+                    operations.Linear(
+                        self.hidden_size, self.hidden_size, dtype=dtype, device=device
+                    )
+                for _ in range(len(self.blocks))
+            ]
+        )
+
+    def forward(
+        self,
+        x,
+        hint,
+        timesteps,
+        context,#encoder_hidden_states=None,
+        text_embedding_mask=None,
+        encoder_hidden_states_t5=None,
+        text_embedding_mask_t5=None,
+        image_meta_size=None,
+        style=None,
+        return_dict=False,
+        **kwarg,
+    ):
+        """
+        Forward pass of the encoder.
+
+        Parameters
+        ----------
+        x: torch.Tensor
+            (B, D, H, W)
+        t: torch.Tensor
+            (B)
+        encoder_hidden_states: torch.Tensor
+            CLIP text embedding, (B, L_clip, D)
+        text_embedding_mask: torch.Tensor
+            CLIP text embedding mask, (B, L_clip)
+        encoder_hidden_states_t5: torch.Tensor
+            T5 text embedding, (B, L_t5, D)
+        text_embedding_mask_t5: torch.Tensor
+            T5 text embedding mask, (B, L_t5)
+        image_meta_size: torch.Tensor
+            (B, 6)
+        style: torch.Tensor
+            (B)
+        cos_cis_img: torch.Tensor
+        sin_cis_img: torch.Tensor
+        return_dict: bool
+            Whether to return a dictionary.
+        """
+        condition = hint
+        if condition.shape[0] == 1:
+            condition = torch.repeat_interleave(condition, x.shape[0], dim=0)
+
+        text_states = context  # 2,77,1024
+        text_states_t5 = encoder_hidden_states_t5  # 2,256,2048
+        text_states_mask = text_embedding_mask.bool()  # 2,77
+        text_states_t5_mask = text_embedding_mask_t5.bool()  # 2,256
+        b_t5, l_t5, c_t5 = text_states_t5.shape
+        text_states_t5 = self.mlp_t5(text_states_t5.view(-1, c_t5)).view(b_t5, l_t5, -1)
+
+        padding = comfy.ops.cast_to_input(self.text_embedding_padding, text_states)
+
+        text_states[:, -self.text_len :] = torch.where(
+            text_states_mask[:, -self.text_len :].unsqueeze(2),
+            text_states[:, -self.text_len :],
+            padding[: self.text_len],
+        )
+        text_states_t5[:, -self.text_len_t5 :] = torch.where(
+            text_states_t5_mask[:, -self.text_len_t5 :].unsqueeze(2),
+            text_states_t5[:, -self.text_len_t5 :],
+            padding[self.text_len :],
+        )
+
+        text_states = torch.cat([text_states, text_states_t5], dim=1)  # 2,205，1024
+
+        # _, _, oh, ow = x.shape
+        # th, tw = oh // self.patch_size, ow // self.patch_size
+
+        # Get image RoPE embedding according to `reso`lution.
+        freqs_cis_img = calc_rope(
+            x, self.patch_size, self.hidden_size // self.num_heads
+        )  # (cos_cis_img, sin_cis_img)
+
+        # ========================= Build time and image embedding =========================
+        t = self.t_embedder(timesteps, dtype=self.dtype)
+        x = self.x_embedder(x)
+
+        # ========================= Concatenate all extra vectors =========================
+        # Build text tokens with pooling
+        extra_vec = self.pooler(encoder_hidden_states_t5)
+
+        # Build image meta size tokens if applicable
+        # if image_meta_size is not None:
+        #     image_meta_size = timestep_embedding(image_meta_size.view(-1), 256)   # [B * 6, 256]
+        #     if image_meta_size.dtype != self.dtype:
+        #         image_meta_size = image_meta_size.half()
+        #     image_meta_size = image_meta_size.view(-1, 6 * 256)
+        #     extra_vec = torch.cat([extra_vec, image_meta_size], dim=1)  # [B, D + 6 * 256]
+
+        # Build style tokens
+        if style is not None:
+            style_embedding = self.style_embedder(style)
+            extra_vec = torch.cat([extra_vec, style_embedding], dim=1)
+
+        # Concatenate all extra vectors
+        c = t + self.extra_embedder(extra_vec)  # [B, D]
+
+        # ========================= Deal with Condition =========================
+        condition = self.x_embedder(condition)
+
+        # ========================= Forward pass through HunYuanDiT blocks =========================
+        controls = []
+        x = x + self.before_proj(condition)  # add condition
+        for layer, block in enumerate(self.blocks):
+            x = block(x, c, text_states, freqs_cis_img)
+            controls.append(self.after_proj_list[layer](x))  # zero linear for output
+
+        return {"output": controls}
diff --git a/ComfyUI/comfy/ldm/hydit/models.py b/ComfyUI/comfy/ldm/hydit/models.py
new file mode 100644
index 0000000000000000000000000000000000000000..44e806cba94f496ccde59b42c26142bb538bfd0a
--- /dev/null
+++ b/ComfyUI/comfy/ldm/hydit/models.py
@@ -0,0 +1,410 @@
+from typing import Any
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+import comfy.ops
+from comfy.ldm.modules.diffusionmodules.mmdit import Mlp, TimestepEmbedder, PatchEmbed, RMSNorm
+from comfy.ldm.modules.diffusionmodules.util import timestep_embedding
+from torch.utils import checkpoint
+
+from .attn_layers import Attention, CrossAttention
+from .poolers import AttentionPool
+from .posemb_layers import get_2d_rotary_pos_embed, get_fill_resize_and_crop
+
+def calc_rope(x, patch_size, head_size):
+    th = (x.shape[2] + (patch_size // 2)) // patch_size
+    tw = (x.shape[3] + (patch_size // 2)) // patch_size
+    base_size = 512 // 8 // patch_size
+    start, stop = get_fill_resize_and_crop((th, tw), base_size)
+    sub_args = [start, stop, (th, tw)]
+    # head_size = HUNYUAN_DIT_CONFIG['DiT-g/2']['hidden_size'] // HUNYUAN_DIT_CONFIG['DiT-g/2']['num_heads']
+    rope = get_2d_rotary_pos_embed(head_size, *sub_args)
+    rope = (rope[0].to(x), rope[1].to(x))
+    return rope
+
+
+def modulate(x, shift, scale):
+    return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1)
+
+
+class HunYuanDiTBlock(nn.Module):
+    """
+    A HunYuanDiT block with `add` conditioning.
+    """
+    def __init__(self,
+                 hidden_size,
+                 c_emb_size,
+                 num_heads,
+                 mlp_ratio=4.0,
+                 text_states_dim=1024,
+                 qk_norm=False,
+                 norm_type="layer",
+                 skip=False,
+                 attn_precision=None,
+                 dtype=None,
+                 device=None,
+                 operations=None,
+                 ):
+        super().__init__()
+        use_ele_affine = True
+
+        if norm_type == "layer":
+            norm_layer = operations.LayerNorm
+        elif norm_type == "rms":
+            norm_layer = RMSNorm
+        else:
+            raise ValueError(f"Unknown norm_type: {norm_type}")
+
+        # ========================= Self-Attention =========================
+        self.norm1 = norm_layer(hidden_size, elementwise_affine=use_ele_affine, eps=1e-6, dtype=dtype, device=device)
+        self.attn1 = Attention(hidden_size, num_heads=num_heads, qkv_bias=True, qk_norm=qk_norm, attn_precision=attn_precision, dtype=dtype, device=device, operations=operations)
+
+        # ========================= FFN =========================
+        self.norm2 = norm_layer(hidden_size, elementwise_affine=use_ele_affine, eps=1e-6, dtype=dtype, device=device)
+        mlp_hidden_dim = int(hidden_size * mlp_ratio)
+        approx_gelu = lambda: nn.GELU(approximate="tanh")
+        self.mlp = Mlp(in_features=hidden_size, hidden_features=mlp_hidden_dim, act_layer=approx_gelu, drop=0, dtype=dtype, device=device, operations=operations)
+
+        # ========================= Add =========================
+        # Simply use add like SDXL.
+        self.default_modulation = nn.Sequential(
+            nn.SiLU(),
+            operations.Linear(c_emb_size, hidden_size, bias=True, dtype=dtype, device=device)
+        )
+
+        # ========================= Cross-Attention =========================
+        self.attn2 = CrossAttention(hidden_size, text_states_dim, num_heads=num_heads, qkv_bias=True,
+                                        qk_norm=qk_norm, attn_precision=attn_precision, dtype=dtype, device=device, operations=operations)
+        self.norm3 = norm_layer(hidden_size, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device)
+
+        # ========================= Skip Connection =========================
+        if skip:
+            self.skip_norm = norm_layer(2 * hidden_size, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device)
+            self.skip_linear = operations.Linear(2 * hidden_size, hidden_size, dtype=dtype, device=device)
+        else:
+            self.skip_linear = None
+
+        self.gradient_checkpointing = False
+
+    def _forward(self, x, c=None, text_states=None, freq_cis_img=None, skip=None):
+        # Long Skip Connection
+        if self.skip_linear is not None:
+            cat = torch.cat([x, skip], dim=-1)
+            if cat.dtype != x.dtype:
+                cat = cat.to(x.dtype)
+            cat = self.skip_norm(cat)
+            x = self.skip_linear(cat)
+
+        # Self-Attention
+        shift_msa = self.default_modulation(c).unsqueeze(dim=1)
+        attn_inputs = (
+            self.norm1(x) + shift_msa, freq_cis_img,
+        )
+        x = x + self.attn1(*attn_inputs)[0]
+
+        # Cross-Attention
+        cross_inputs = (
+            self.norm3(x), text_states, freq_cis_img
+        )
+        x = x + self.attn2(*cross_inputs)[0]
+
+        # FFN Layer
+        mlp_inputs = self.norm2(x)
+        x = x + self.mlp(mlp_inputs)
+
+        return x
+
+    def forward(self, x, c=None, text_states=None, freq_cis_img=None, skip=None):
+        if self.gradient_checkpointing and self.training:
+            return checkpoint.checkpoint(self._forward, x, c, text_states, freq_cis_img, skip)
+        return self._forward(x, c, text_states, freq_cis_img, skip)
+
+
+class FinalLayer(nn.Module):
+    """
+    The final layer of HunYuanDiT.
+    """
+    def __init__(self, final_hidden_size, c_emb_size, patch_size, out_channels, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.norm_final = operations.LayerNorm(final_hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.linear = operations.Linear(final_hidden_size, patch_size * patch_size * out_channels, bias=True, dtype=dtype, device=device)
+        self.adaLN_modulation = nn.Sequential(
+            nn.SiLU(),
+            operations.Linear(c_emb_size, 2 * final_hidden_size, bias=True, dtype=dtype, device=device)
+        )
+
+    def forward(self, x, c):
+        shift, scale = self.adaLN_modulation(c).chunk(2, dim=1)
+        x = modulate(self.norm_final(x), shift, scale)
+        x = self.linear(x)
+        return x
+
+
+class HunYuanDiT(nn.Module):
+    """
+    HunYuanDiT: Diffusion model with a Transformer backbone.
+
+    Inherit ModelMixin and ConfigMixin to be compatible with the sampler StableDiffusionPipeline of diffusers.
+
+    Inherit PeftAdapterMixin to be compatible with the PEFT training pipeline.
+
+    Parameters
+    ----------
+    args: argparse.Namespace
+        The arguments parsed by argparse.
+    input_size: tuple
+        The size of the input image.
+    patch_size: int
+        The size of the patch.
+    in_channels: int
+        The number of input channels.
+    hidden_size: int
+        The hidden size of the transformer backbone.
+    depth: int
+        The number of transformer blocks.
+    num_heads: int
+        The number of attention heads.
+    mlp_ratio: float
+        The ratio of the hidden size of the MLP in the transformer block.
+    log_fn: callable
+        The logging function.
+    """
+    #@register_to_config
+    def __init__(self,
+                 input_size: tuple = 32,
+                 patch_size: int = 2,
+                 in_channels: int = 4,
+                 hidden_size: int = 1152,
+                 depth: int = 28,
+                 num_heads: int = 16,
+                 mlp_ratio: float = 4.0,
+                 text_states_dim = 1024,
+                 text_states_dim_t5 = 2048,
+                 text_len = 77,
+                 text_len_t5 = 256,
+                 qk_norm = True,# See http://arxiv.org/abs/2302.05442 for details.
+                 size_cond = False,
+                 use_style_cond = False,
+                 learn_sigma = True,
+                 norm = "layer",
+                 log_fn: callable = print,
+                 attn_precision=None,
+                 dtype=None,
+                 device=None,
+                 operations=None,
+                 **kwargs,
+    ):
+        super().__init__()
+        self.log_fn = log_fn
+        self.depth = depth
+        self.learn_sigma = learn_sigma
+        self.in_channels = in_channels
+        self.out_channels = in_channels * 2 if learn_sigma else in_channels
+        self.patch_size = patch_size
+        self.num_heads = num_heads
+        self.hidden_size = hidden_size
+        self.text_states_dim = text_states_dim
+        self.text_states_dim_t5 = text_states_dim_t5
+        self.text_len = text_len
+        self.text_len_t5 = text_len_t5
+        self.size_cond = size_cond
+        self.use_style_cond = use_style_cond
+        self.norm = norm
+        self.dtype = dtype
+        #import pdb
+        #pdb.set_trace()
+
+        self.mlp_t5 = nn.Sequential(
+            operations.Linear(self.text_states_dim_t5, self.text_states_dim_t5 * 4, bias=True, dtype=dtype, device=device),
+            nn.SiLU(),
+            operations.Linear(self.text_states_dim_t5 * 4, self.text_states_dim, bias=True, dtype=dtype, device=device),
+        )
+        # learnable replace
+        self.text_embedding_padding = nn.Parameter(
+            torch.empty(self.text_len + self.text_len_t5, self.text_states_dim, dtype=dtype, device=device))
+
+        # Attention pooling
+        pooler_out_dim = 1024
+        self.pooler = AttentionPool(self.text_len_t5, self.text_states_dim_t5, num_heads=8, output_dim=pooler_out_dim, dtype=dtype, device=device, operations=operations)
+
+        # Dimension of the extra input vectors
+        self.extra_in_dim = pooler_out_dim
+
+        if self.size_cond:
+            # Image size and crop size conditions
+            self.extra_in_dim += 6 * 256
+
+        if self.use_style_cond:
+            # Here we use a default learned embedder layer for future extension.
+            self.style_embedder = operations.Embedding(1, hidden_size, dtype=dtype, device=device)
+            self.extra_in_dim += hidden_size
+
+        # Text embedding for `add`
+        self.x_embedder = PatchEmbed(input_size, patch_size, in_channels, hidden_size, dtype=dtype, device=device, operations=operations)
+        self.t_embedder = TimestepEmbedder(hidden_size, dtype=dtype, device=device, operations=operations)
+        self.extra_embedder = nn.Sequential(
+            operations.Linear(self.extra_in_dim, hidden_size * 4, dtype=dtype, device=device),
+            nn.SiLU(),
+            operations.Linear(hidden_size * 4, hidden_size, bias=True, dtype=dtype, device=device),
+        )
+
+        # Image embedding
+        num_patches = self.x_embedder.num_patches
+
+        # HUnYuanDiT Blocks
+        self.blocks = nn.ModuleList([
+            HunYuanDiTBlock(hidden_size=hidden_size,
+                            c_emb_size=hidden_size,
+                            num_heads=num_heads,
+                            mlp_ratio=mlp_ratio,
+                            text_states_dim=self.text_states_dim,
+                            qk_norm=qk_norm,
+                            norm_type=self.norm,
+                            skip=layer > depth // 2,
+                            attn_precision=attn_precision,
+                            dtype=dtype,
+                            device=device,
+                            operations=operations,
+                            )
+            for layer in range(depth)
+        ])
+
+        self.final_layer = FinalLayer(hidden_size, hidden_size, patch_size, self.out_channels, dtype=dtype, device=device, operations=operations)
+        self.unpatchify_channels = self.out_channels
+
+
+
+    def forward(self,
+                x,
+                t,
+                context,#encoder_hidden_states=None,
+                text_embedding_mask=None,
+                encoder_hidden_states_t5=None,
+                text_embedding_mask_t5=None,
+                image_meta_size=None,
+                style=None,
+                return_dict=False,
+                control=None,
+                transformer_options=None,
+                ):
+        """
+        Forward pass of the encoder.
+
+        Parameters
+        ----------
+        x: torch.Tensor
+            (B, D, H, W)
+        t: torch.Tensor
+            (B)
+        encoder_hidden_states: torch.Tensor
+            CLIP text embedding, (B, L_clip, D)
+        text_embedding_mask: torch.Tensor
+            CLIP text embedding mask, (B, L_clip)
+        encoder_hidden_states_t5: torch.Tensor
+            T5 text embedding, (B, L_t5, D)
+        text_embedding_mask_t5: torch.Tensor
+            T5 text embedding mask, (B, L_t5)
+        image_meta_size: torch.Tensor
+            (B, 6)
+        style: torch.Tensor
+            (B)
+        cos_cis_img: torch.Tensor
+        sin_cis_img: torch.Tensor
+        return_dict: bool
+            Whether to return a dictionary.
+        """
+        #import pdb
+        #pdb.set_trace()
+        encoder_hidden_states = context
+        text_states = encoder_hidden_states                     # 2,77,1024
+        text_states_t5 = encoder_hidden_states_t5               # 2,256,2048
+        text_states_mask = text_embedding_mask.bool()           # 2,77
+        text_states_t5_mask = text_embedding_mask_t5.bool()     # 2,256
+        b_t5, l_t5, c_t5 = text_states_t5.shape
+        text_states_t5 = self.mlp_t5(text_states_t5.view(-1, c_t5)).view(b_t5, l_t5, -1)
+
+        padding = comfy.ops.cast_to_input(self.text_embedding_padding, text_states)
+
+        text_states[:,-self.text_len:] = torch.where(text_states_mask[:,-self.text_len:].unsqueeze(2), text_states[:,-self.text_len:], padding[:self.text_len])
+        text_states_t5[:,-self.text_len_t5:] = torch.where(text_states_t5_mask[:,-self.text_len_t5:].unsqueeze(2), text_states_t5[:,-self.text_len_t5:], padding[self.text_len:])
+
+        text_states = torch.cat([text_states, text_states_t5], dim=1)  # 2,205，1024
+        # clip_t5_mask = torch.cat([text_states_mask, text_states_t5_mask], dim=-1)
+
+        _, _, oh, ow = x.shape
+        th, tw = (oh + (self.patch_size // 2)) // self.patch_size, (ow + (self.patch_size // 2)) // self.patch_size
+
+
+        # Get image RoPE embedding according to `reso`lution.
+        freqs_cis_img = calc_rope(x, self.patch_size, self.hidden_size // self.num_heads) #(cos_cis_img, sin_cis_img)
+
+        # ========================= Build time and image embedding =========================
+        t = self.t_embedder(t, dtype=x.dtype)
+        x = self.x_embedder(x)
+
+        # ========================= Concatenate all extra vectors =========================
+        # Build text tokens with pooling
+        extra_vec = self.pooler(encoder_hidden_states_t5)
+
+        # Build image meta size tokens if applicable
+        if self.size_cond:
+            image_meta_size = timestep_embedding(image_meta_size.view(-1), 256).to(x.dtype)   # [B * 6, 256]
+            image_meta_size = image_meta_size.view(-1, 6 * 256)
+            extra_vec = torch.cat([extra_vec, image_meta_size], dim=1)  # [B, D + 6 * 256]
+
+        # Build style tokens
+        if self.use_style_cond:
+            if style is None:
+                style = torch.zeros((extra_vec.shape[0],), device=x.device, dtype=torch.int)
+            style_embedding = self.style_embedder(style, out_dtype=x.dtype)
+            extra_vec = torch.cat([extra_vec, style_embedding], dim=1)
+
+        # Concatenate all extra vectors
+        c = t + self.extra_embedder(extra_vec)  # [B, D]
+
+        controls = None
+        if control:
+            controls = control.get("output", None)
+        # ========================= Forward pass through HunYuanDiT blocks =========================
+        skips = []
+        for layer, block in enumerate(self.blocks):
+            if layer > self.depth // 2:
+                if controls is not None:
+                    skip = skips.pop() + controls.pop().to(dtype=x.dtype)
+                else:
+                    skip = skips.pop()
+                x = block(x, c, text_states, freqs_cis_img, skip)   # (N, L, D)
+            else:
+                x = block(x, c, text_states, freqs_cis_img)         # (N, L, D)
+
+            if layer < (self.depth // 2 - 1):
+                skips.append(x)
+        if controls is not None and len(controls) != 0:
+            raise ValueError("The number of controls is not equal to the number of skip connections.")
+
+        # ========================= Final layer =========================
+        x = self.final_layer(x, c)                              # (N, L, patch_size ** 2 * out_channels)
+        x = self.unpatchify(x, th, tw)                          # (N, out_channels, H, W)
+
+        if return_dict:
+            return {'x': x}
+        if self.learn_sigma:
+            return x[:,:self.out_channels // 2,:oh,:ow]
+        return x[:,:,:oh,:ow]
+
+    def unpatchify(self, x, h, w):
+        """
+        x: (N, T, patch_size**2 * C)
+        imgs: (N, H, W, C)
+        """
+        c = self.unpatchify_channels
+        p = self.x_embedder.patch_size[0]
+        # h = w = int(x.shape[1] ** 0.5)
+        assert h * w == x.shape[1]
+
+        x = x.reshape(shape=(x.shape[0], h, w, p, p, c))
+        x = torch.einsum('nhwpqc->nchpwq', x)
+        imgs = x.reshape(shape=(x.shape[0], c, h * p, w * p))
+        return imgs
diff --git a/ComfyUI/comfy/ldm/hydit/poolers.py b/ComfyUI/comfy/ldm/hydit/poolers.py
new file mode 100644
index 0000000000000000000000000000000000000000..f5e5b406fcd4e50a2222c4719e07ea32d4a089f4
--- /dev/null
+++ b/ComfyUI/comfy/ldm/hydit/poolers.py
@@ -0,0 +1,37 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from comfy.ldm.modules.attention import optimized_attention
+import comfy.ops
+
+class AttentionPool(nn.Module):
+    def __init__(self, spacial_dim: int, embed_dim: int, num_heads: int, output_dim: int = None, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.positional_embedding = nn.Parameter(torch.empty(spacial_dim + 1, embed_dim, dtype=dtype, device=device))
+        self.k_proj = operations.Linear(embed_dim, embed_dim, dtype=dtype, device=device)
+        self.q_proj = operations.Linear(embed_dim, embed_dim, dtype=dtype, device=device)
+        self.v_proj = operations.Linear(embed_dim, embed_dim, dtype=dtype, device=device)
+        self.c_proj = operations.Linear(embed_dim, output_dim or embed_dim, dtype=dtype, device=device)
+        self.num_heads = num_heads
+        self.embed_dim = embed_dim
+
+    def forward(self, x):
+        x = x[:,:self.positional_embedding.shape[0] - 1]
+        x = x.permute(1, 0, 2)  # NLC -> LNC
+        x = torch.cat([x.mean(dim=0, keepdim=True), x], dim=0)  # (L+1)NC
+        x = x + comfy.ops.cast_to_input(self.positional_embedding[:, None, :], x) # (L+1)NC
+
+        q = self.q_proj(x[:1])
+        k = self.k_proj(x)
+        v = self.v_proj(x)
+
+        batch_size = q.shape[1]
+        head_dim = self.embed_dim // self.num_heads
+        q = q.view(1, batch_size * self.num_heads, head_dim).transpose(0, 1).view(batch_size, self.num_heads, -1, head_dim)
+        k = k.view(k.shape[0], batch_size * self.num_heads, head_dim).transpose(0, 1).view(batch_size, self.num_heads, -1, head_dim)
+        v = v.view(v.shape[0], batch_size * self.num_heads, head_dim).transpose(0, 1).view(batch_size, self.num_heads, -1, head_dim)
+
+        attn_output = optimized_attention(q, k, v, self.num_heads, skip_reshape=True).transpose(0, 1)
+
+        attn_output = self.c_proj(attn_output)
+        return attn_output.squeeze(0)
diff --git a/ComfyUI/comfy/ldm/hydit/posemb_layers.py b/ComfyUI/comfy/ldm/hydit/posemb_layers.py
new file mode 100644
index 0000000000000000000000000000000000000000..dcb41a713cd94ea8472ff26e8865066887b1e486
--- /dev/null
+++ b/ComfyUI/comfy/ldm/hydit/posemb_layers.py
@@ -0,0 +1,224 @@
+import torch
+import numpy as np
+from typing import Union
+
+
+def _to_tuple(x):
+    if isinstance(x, int):
+        return x, x
+    else:
+        return x
+
+
+def get_fill_resize_and_crop(src, tgt):
+    th, tw = _to_tuple(tgt)
+    h, w = _to_tuple(src)
+
+    tr = th / tw        # base resolution
+    r = h / w           # target resolution
+
+    # resize
+    if r > tr:
+        resize_height = th
+        resize_width = int(round(th / h * w))
+    else:
+        resize_width = tw
+        resize_height = int(round(tw / w * h))    # resize the target resolution down based on the base resolution
+
+    crop_top = int(round((th - resize_height) / 2.0))
+    crop_left = int(round((tw - resize_width) / 2.0))
+
+    return (crop_top, crop_left), (crop_top + resize_height, crop_left + resize_width)
+
+
+def get_meshgrid(start, *args):
+    if len(args) == 0:
+        # start is grid_size
+        num = _to_tuple(start)
+        start = (0, 0)
+        stop = num
+    elif len(args) == 1:
+        # start is start, args[0] is stop, step is 1
+        start = _to_tuple(start)
+        stop = _to_tuple(args[0])
+        num = (stop[0] - start[0], stop[1] - start[1])
+    elif len(args) == 2:
+        # start is start, args[0] is stop, args[1] is num
+        start = _to_tuple(start)
+        stop = _to_tuple(args[0])
+        num = _to_tuple(args[1])
+    else:
+        raise ValueError(f"len(args) should be 0, 1 or 2, but got {len(args)}")
+
+    grid_h = np.linspace(start[0], stop[0], num[0], endpoint=False, dtype=np.float32)
+    grid_w = np.linspace(start[1], stop[1], num[1], endpoint=False, dtype=np.float32)
+    grid = np.meshgrid(grid_w, grid_h)  # here w goes first
+    grid = np.stack(grid, axis=0)   # [2, W, H]
+    return grid
+
+#################################################################################
+#                   Sine/Cosine Positional Embedding Functions                  #
+#################################################################################
+# https://github.com/facebookresearch/mae/blob/main/util/pos_embed.py
+
+def get_2d_sincos_pos_embed(embed_dim, start, *args, cls_token=False, extra_tokens=0):
+    """
+    grid_size: int of the grid height and width
+    return:
+    pos_embed: [grid_size*grid_size, embed_dim] or [1+grid_size*grid_size, embed_dim] (w/ or w/o cls_token)
+    """
+    grid = get_meshgrid(start, *args)   # [2, H, w]
+    # grid_h = np.arange(grid_size, dtype=np.float32)
+    # grid_w = np.arange(grid_size, dtype=np.float32)
+    # grid = np.meshgrid(grid_w, grid_h)  # here w goes first
+    # grid = np.stack(grid, axis=0)   # [2, W, H]
+
+    grid = grid.reshape([2, 1, *grid.shape[1:]])
+    pos_embed = get_2d_sincos_pos_embed_from_grid(embed_dim, grid)
+    if cls_token and extra_tokens > 0:
+        pos_embed = np.concatenate([np.zeros([extra_tokens, embed_dim]), pos_embed], axis=0)
+    return pos_embed
+
+
+def get_2d_sincos_pos_embed_from_grid(embed_dim, grid):
+    assert embed_dim % 2 == 0
+
+    # use half of dimensions to encode grid_h
+    emb_h = get_1d_sincos_pos_embed_from_grid(embed_dim // 2, grid[0])  # (H*W, D/2)
+    emb_w = get_1d_sincos_pos_embed_from_grid(embed_dim // 2, grid[1])  # (H*W, D/2)
+
+    emb = np.concatenate([emb_h, emb_w], axis=1)    # (H*W, D)
+    return emb
+
+
+def get_1d_sincos_pos_embed_from_grid(embed_dim, pos):
+    """
+    embed_dim: output dimension for each position
+    pos: a list of positions to be encoded: size (W,H)
+    out: (M, D)
+    """
+    assert embed_dim % 2 == 0
+    omega = np.arange(embed_dim // 2, dtype=np.float64)
+    omega /= embed_dim / 2.
+    omega = 1. / 10000**omega  # (D/2,)
+
+    pos = pos.reshape(-1)  # (M,)
+    out = np.einsum('m,d->md', pos, omega)  # (M, D/2), outer product
+
+    emb_sin = np.sin(out)   # (M, D/2)
+    emb_cos = np.cos(out)   # (M, D/2)
+
+    emb = np.concatenate([emb_sin, emb_cos], axis=1)  # (M, D)
+    return emb
+
+
+#################################################################################
+#                   Rotary Positional Embedding Functions                       #
+#################################################################################
+# https://github.com/facebookresearch/llama/blob/main/llama/model.py#L443
+
+def get_2d_rotary_pos_embed(embed_dim, start, *args, use_real=True):
+    """
+    This is a 2d version of precompute_freqs_cis, which is a RoPE for image tokens with 2d structure.
+
+    Parameters
+    ----------
+    embed_dim: int
+        embedding dimension size
+    start: int or tuple of int
+        If len(args) == 0, start is num; If len(args) == 1, start is start, args[0] is stop, step is 1;
+        If len(args) == 2, start is start, args[0] is stop, args[1] is num.
+    use_real: bool
+        If True, return real part and imaginary part separately. Otherwise, return complex numbers.
+
+    Returns
+    -------
+    pos_embed: torch.Tensor
+        [HW, D/2]
+    """
+    grid = get_meshgrid(start, *args)   # [2, H, w]
+    grid = grid.reshape([2, 1, *grid.shape[1:]])   # Returns a sampling matrix with the same resolution as the target resolution
+    pos_embed = get_2d_rotary_pos_embed_from_grid(embed_dim, grid, use_real=use_real)
+    return pos_embed
+
+
+def get_2d_rotary_pos_embed_from_grid(embed_dim, grid, use_real=False):
+    assert embed_dim % 4 == 0
+
+    # use half of dimensions to encode grid_h
+    emb_h = get_1d_rotary_pos_embed(embed_dim // 2, grid[0].reshape(-1), use_real=use_real)  # (H*W, D/4)
+    emb_w = get_1d_rotary_pos_embed(embed_dim // 2, grid[1].reshape(-1), use_real=use_real)  # (H*W, D/4)
+
+    if use_real:
+        cos = torch.cat([emb_h[0], emb_w[0]], dim=1)    # (H*W, D/2)
+        sin = torch.cat([emb_h[1], emb_w[1]], dim=1)    # (H*W, D/2)
+        return cos, sin
+    else:
+        emb = torch.cat([emb_h, emb_w], dim=1)    # (H*W, D/2)
+        return emb
+
+
+def get_1d_rotary_pos_embed(dim: int, pos: Union[np.ndarray, int], theta: float = 10000.0, use_real=False):
+    """
+    Precompute the frequency tensor for complex exponentials (cis) with given dimensions.
+
+    This function calculates a frequency tensor with complex exponentials using the given dimension 'dim'
+    and the end index 'end'. The 'theta' parameter scales the frequencies.
+    The returned tensor contains complex values in complex64 data type.
+
+    Args:
+        dim (int): Dimension of the frequency tensor.
+        pos (np.ndarray, int): Position indices for the frequency tensor. [S] or scalar
+        theta (float, optional): Scaling factor for frequency computation. Defaults to 10000.0.
+        use_real (bool, optional): If True, return real part and imaginary part separately.
+                                   Otherwise, return complex numbers.
+
+    Returns:
+        torch.Tensor: Precomputed frequency tensor with complex exponentials. [S, D/2]
+
+    """
+    if isinstance(pos, int):
+        pos = np.arange(pos)
+    freqs = 1.0 / (theta ** (torch.arange(0, dim, 2)[: (dim // 2)].float() / dim))  # [D/2]
+    t = torch.from_numpy(pos).to(freqs.device)  # type: ignore  # [S]
+    freqs = torch.outer(t, freqs).float()  # type: ignore   # [S, D/2]
+    if use_real:
+        freqs_cos = freqs.cos().repeat_interleave(2, dim=1)  # [S, D]
+        freqs_sin = freqs.sin().repeat_interleave(2, dim=1)  # [S, D]
+        return freqs_cos, freqs_sin
+    else:
+        freqs_cis = torch.polar(torch.ones_like(freqs), freqs)  # complex64     # [S, D/2]
+        return freqs_cis
+
+
+
+def calc_sizes(rope_img, patch_size, th, tw):
+    if rope_img == 'extend':
+        # Expansion mode
+        sub_args = [(th, tw)]
+    elif rope_img.startswith('base'):
+        # Based on the specified dimensions, other dimensions are obtained through interpolation.
+        base_size = int(rope_img[4:]) // 8 // patch_size
+        start, stop = get_fill_resize_and_crop((th, tw), base_size)
+        sub_args = [start, stop, (th, tw)]
+    else:
+        raise ValueError(f"Unknown rope_img: {rope_img}")
+    return sub_args
+
+
+def init_image_posemb(rope_img,
+                      resolutions,
+                      patch_size,
+                      hidden_size,
+                      num_heads,
+                      log_fn,
+                      rope_real=True,
+                      ):
+    freqs_cis_img = {}
+    for reso in resolutions:
+        th, tw = reso.height // 8 // patch_size, reso.width // 8 // patch_size
+        sub_args = calc_sizes(rope_img, patch_size, th, tw)
+        freqs_cis_img[str(reso)] = get_2d_rotary_pos_embed(hidden_size // num_heads, *sub_args, use_real=rope_real)
+        log_fn(f"    Using image RoPE ({rope_img}) ({'real' if rope_real else 'complex'}): {sub_args} | ({reso}) "
+               f"{freqs_cis_img[str(reso)][0].shape if rope_real else freqs_cis_img[str(reso)].shape}")
+    return freqs_cis_img
diff --git a/ComfyUI/comfy/ldm/models/__pycache__/autoencoder.cpython-310.pyc b/ComfyUI/comfy/ldm/models/__pycache__/autoencoder.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..d4e47ed802656283585caa577ea8e516deee8d7a
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diff --git a/ComfyUI/comfy/ldm/models/__pycache__/autoencoder.cpython-312.pyc b/ComfyUI/comfy/ldm/models/__pycache__/autoencoder.cpython-312.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ea3b8908a6a62c200117e4013c67ffbd4a3bbc2d
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diff --git a/ComfyUI/comfy/ldm/models/autoencoder.py b/ComfyUI/comfy/ldm/models/autoencoder.py
new file mode 100644
index 0000000000000000000000000000000000000000..f5f4de2883078dadee058aef437901069588321b
--- /dev/null
+++ b/ComfyUI/comfy/ldm/models/autoencoder.py
@@ -0,0 +1,226 @@
+import torch
+from contextlib import contextmanager
+from typing import Any, Dict, List, Optional, Tuple, Union
+
+from comfy.ldm.modules.distributions.distributions import DiagonalGaussianDistribution
+
+from comfy.ldm.util import instantiate_from_config
+from comfy.ldm.modules.ema import LitEma
+import comfy.ops
+
+class DiagonalGaussianRegularizer(torch.nn.Module):
+    def __init__(self, sample: bool = True):
+        super().__init__()
+        self.sample = sample
+
+    def get_trainable_parameters(self) -> Any:
+        yield from ()
+
+    def forward(self, z: torch.Tensor) -> Tuple[torch.Tensor, dict]:
+        log = dict()
+        posterior = DiagonalGaussianDistribution(z)
+        if self.sample:
+            z = posterior.sample()
+        else:
+            z = posterior.mode()
+        kl_loss = posterior.kl()
+        kl_loss = torch.sum(kl_loss) / kl_loss.shape[0]
+        log["kl_loss"] = kl_loss
+        return z, log
+
+
+class AbstractAutoencoder(torch.nn.Module):
+    """
+    This is the base class for all autoencoders, including image autoencoders, image autoencoders with discriminators,
+    unCLIP models, etc. Hence, it is fairly general, and specific features
+    (e.g. discriminator training, encoding, decoding) must be implemented in subclasses.
+    """
+
+    def __init__(
+        self,
+        ema_decay: Union[None, float] = None,
+        monitor: Union[None, str] = None,
+        input_key: str = "jpg",
+        **kwargs,
+    ):
+        super().__init__()
+
+        self.input_key = input_key
+        self.use_ema = ema_decay is not None
+        if monitor is not None:
+            self.monitor = monitor
+
+        if self.use_ema:
+            self.model_ema = LitEma(self, decay=ema_decay)
+            logpy.info(f"Keeping EMAs of {len(list(self.model_ema.buffers()))}.")
+
+    def get_input(self, batch) -> Any:
+        raise NotImplementedError()
+
+    def on_train_batch_end(self, *args, **kwargs):
+        # for EMA computation
+        if self.use_ema:
+            self.model_ema(self)
+
+    @contextmanager
+    def ema_scope(self, context=None):
+        if self.use_ema:
+            self.model_ema.store(self.parameters())
+            self.model_ema.copy_to(self)
+            if context is not None:
+                logpy.info(f"{context}: Switched to EMA weights")
+        try:
+            yield None
+        finally:
+            if self.use_ema:
+                self.model_ema.restore(self.parameters())
+                if context is not None:
+                    logpy.info(f"{context}: Restored training weights")
+
+    def encode(self, *args, **kwargs) -> torch.Tensor:
+        raise NotImplementedError("encode()-method of abstract base class called")
+
+    def decode(self, *args, **kwargs) -> torch.Tensor:
+        raise NotImplementedError("decode()-method of abstract base class called")
+
+    def instantiate_optimizer_from_config(self, params, lr, cfg):
+        logpy.info(f"loading >>> {cfg['target']} <<< optimizer from config")
+        return get_obj_from_str(cfg["target"])(
+            params, lr=lr, **cfg.get("params", dict())
+        )
+
+    def configure_optimizers(self) -> Any:
+        raise NotImplementedError()
+
+
+class AutoencodingEngine(AbstractAutoencoder):
+    """
+    Base class for all image autoencoders that we train, like VQGAN or AutoencoderKL
+    (we also restore them explicitly as special cases for legacy reasons).
+    Regularizations such as KL or VQ are moved to the regularizer class.
+    """
+
+    def __init__(
+        self,
+        *args,
+        encoder_config: Dict,
+        decoder_config: Dict,
+        regularizer_config: Dict,
+        **kwargs,
+    ):
+        super().__init__(*args, **kwargs)
+
+        self.encoder: torch.nn.Module = instantiate_from_config(encoder_config)
+        self.decoder: torch.nn.Module = instantiate_from_config(decoder_config)
+        self.regularization: AbstractRegularizer = instantiate_from_config(
+            regularizer_config
+        )
+
+    def get_last_layer(self):
+        return self.decoder.get_last_layer()
+
+    def encode(
+        self,
+        x: torch.Tensor,
+        return_reg_log: bool = False,
+        unregularized: bool = False,
+    ) -> Union[torch.Tensor, Tuple[torch.Tensor, dict]]:
+        z = self.encoder(x)
+        if unregularized:
+            return z, dict()
+        z, reg_log = self.regularization(z)
+        if return_reg_log:
+            return z, reg_log
+        return z
+
+    def decode(self, z: torch.Tensor, **kwargs) -> torch.Tensor:
+        x = self.decoder(z, **kwargs)
+        return x
+
+    def forward(
+        self, x: torch.Tensor, **additional_decode_kwargs
+    ) -> Tuple[torch.Tensor, torch.Tensor, dict]:
+        z, reg_log = self.encode(x, return_reg_log=True)
+        dec = self.decode(z, **additional_decode_kwargs)
+        return z, dec, reg_log
+
+
+class AutoencodingEngineLegacy(AutoencodingEngine):
+    def __init__(self, embed_dim: int, **kwargs):
+        self.max_batch_size = kwargs.pop("max_batch_size", None)
+        ddconfig = kwargs.pop("ddconfig")
+        super().__init__(
+            encoder_config={
+                "target": "comfy.ldm.modules.diffusionmodules.model.Encoder",
+                "params": ddconfig,
+            },
+            decoder_config={
+                "target": "comfy.ldm.modules.diffusionmodules.model.Decoder",
+                "params": ddconfig,
+            },
+            **kwargs,
+        )
+        self.quant_conv = comfy.ops.disable_weight_init.Conv2d(
+            (1 + ddconfig["double_z"]) * ddconfig["z_channels"],
+            (1 + ddconfig["double_z"]) * embed_dim,
+            1,
+        )
+        self.post_quant_conv = comfy.ops.disable_weight_init.Conv2d(embed_dim, ddconfig["z_channels"], 1)
+        self.embed_dim = embed_dim
+
+    def get_autoencoder_params(self) -> list:
+        params = super().get_autoencoder_params()
+        return params
+
+    def encode(
+        self, x: torch.Tensor, return_reg_log: bool = False
+    ) -> Union[torch.Tensor, Tuple[torch.Tensor, dict]]:
+        if self.max_batch_size is None:
+            z = self.encoder(x)
+            z = self.quant_conv(z)
+        else:
+            N = x.shape[0]
+            bs = self.max_batch_size
+            n_batches = int(math.ceil(N / bs))
+            z = list()
+            for i_batch in range(n_batches):
+                z_batch = self.encoder(x[i_batch * bs : (i_batch + 1) * bs])
+                z_batch = self.quant_conv(z_batch)
+                z.append(z_batch)
+            z = torch.cat(z, 0)
+
+        z, reg_log = self.regularization(z)
+        if return_reg_log:
+            return z, reg_log
+        return z
+
+    def decode(self, z: torch.Tensor, **decoder_kwargs) -> torch.Tensor:
+        if self.max_batch_size is None:
+            dec = self.post_quant_conv(z)
+            dec = self.decoder(dec, **decoder_kwargs)
+        else:
+            N = z.shape[0]
+            bs = self.max_batch_size
+            n_batches = int(math.ceil(N / bs))
+            dec = list()
+            for i_batch in range(n_batches):
+                dec_batch = self.post_quant_conv(z[i_batch * bs : (i_batch + 1) * bs])
+                dec_batch = self.decoder(dec_batch, **decoder_kwargs)
+                dec.append(dec_batch)
+            dec = torch.cat(dec, 0)
+
+        return dec
+
+
+class AutoencoderKL(AutoencodingEngineLegacy):
+    def __init__(self, **kwargs):
+        if "lossconfig" in kwargs:
+            kwargs["loss_config"] = kwargs.pop("lossconfig")
+        super().__init__(
+            regularizer_config={
+                "target": (
+                    "comfy.ldm.models.autoencoder.DiagonalGaussianRegularizer"
+                )
+            },
+            **kwargs,
+        )
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diff --git a/ComfyUI/comfy/ldm/modules/attention.py b/ComfyUI/comfy/ldm/modules/attention.py
new file mode 100644
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--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/attention.py
@@ -0,0 +1,865 @@
+import math
+import torch
+import torch.nn.functional as F
+from torch import nn, einsum
+from einops import rearrange, repeat
+from typing import Optional
+import logging
+
+from .diffusionmodules.util import AlphaBlender, timestep_embedding
+from .sub_quadratic_attention import efficient_dot_product_attention
+
+from comfy import model_management
+
+if model_management.xformers_enabled():
+    import xformers
+    import xformers.ops
+
+from comfy.cli_args import args
+import comfy.ops
+ops = comfy.ops.disable_weight_init
+
+FORCE_UPCAST_ATTENTION_DTYPE = model_management.force_upcast_attention_dtype()
+
+def get_attn_precision(attn_precision):
+    if args.dont_upcast_attention:
+        return None
+    if FORCE_UPCAST_ATTENTION_DTYPE is not None:
+        return FORCE_UPCAST_ATTENTION_DTYPE
+    return attn_precision
+
+def exists(val):
+    return val is not None
+
+
+def uniq(arr):
+    return{el: True for el in arr}.keys()
+
+
+def default(val, d):
+    if exists(val):
+        return val
+    return d
+
+
+def max_neg_value(t):
+    return -torch.finfo(t.dtype).max
+
+
+def init_(tensor):
+    dim = tensor.shape[-1]
+    std = 1 / math.sqrt(dim)
+    tensor.uniform_(-std, std)
+    return tensor
+
+
+# feedforward
+class GEGLU(nn.Module):
+    def __init__(self, dim_in, dim_out, dtype=None, device=None, operations=ops):
+        super().__init__()
+        self.proj = operations.Linear(dim_in, dim_out * 2, dtype=dtype, device=device)
+
+    def forward(self, x):
+        x, gate = self.proj(x).chunk(2, dim=-1)
+        return x * F.gelu(gate)
+
+
+class FeedForward(nn.Module):
+    def __init__(self, dim, dim_out=None, mult=4, glu=False, dropout=0., dtype=None, device=None, operations=ops):
+        super().__init__()
+        inner_dim = int(dim * mult)
+        dim_out = default(dim_out, dim)
+        project_in = nn.Sequential(
+            operations.Linear(dim, inner_dim, dtype=dtype, device=device),
+            nn.GELU()
+        ) if not glu else GEGLU(dim, inner_dim, dtype=dtype, device=device, operations=operations)
+
+        self.net = nn.Sequential(
+            project_in,
+            nn.Dropout(dropout),
+            operations.Linear(inner_dim, dim_out, dtype=dtype, device=device)
+        )
+
+    def forward(self, x):
+        return self.net(x)
+
+def Normalize(in_channels, dtype=None, device=None):
+    return torch.nn.GroupNorm(num_groups=32, num_channels=in_channels, eps=1e-6, affine=True, dtype=dtype, device=device)
+
+def attention_basic(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False):
+    attn_precision = get_attn_precision(attn_precision)
+
+    if skip_reshape:
+        b, _, _, dim_head = q.shape
+    else:
+        b, _, dim_head = q.shape
+        dim_head //= heads
+
+    scale = dim_head ** -0.5
+
+    h = heads
+    if skip_reshape:
+         q, k, v = map(
+            lambda t: t.reshape(b * heads, -1, dim_head),
+            (q, k, v),
+        )
+    else:
+        q, k, v = map(
+            lambda t: t.unsqueeze(3)
+            .reshape(b, -1, heads, dim_head)
+            .permute(0, 2, 1, 3)
+            .reshape(b * heads, -1, dim_head)
+            .contiguous(),
+            (q, k, v),
+        )
+
+    # force cast to fp32 to avoid overflowing
+    if attn_precision == torch.float32:
+        sim = einsum('b i d, b j d -> b i j', q.float(), k.float()) * scale
+    else:
+        sim = einsum('b i d, b j d -> b i j', q, k) * scale
+
+    del q, k
+
+    if exists(mask):
+        if mask.dtype == torch.bool:
+            mask = rearrange(mask, 'b ... -> b (...)') #TODO: check if this bool part matches pytorch attention
+            max_neg_value = -torch.finfo(sim.dtype).max
+            mask = repeat(mask, 'b j -> (b h) () j', h=h)
+            sim.masked_fill_(~mask, max_neg_value)
+        else:
+            if len(mask.shape) == 2:
+                bs = 1
+            else:
+                bs = mask.shape[0]
+            mask = mask.reshape(bs, -1, mask.shape[-2], mask.shape[-1]).expand(b, heads, -1, -1).reshape(-1, mask.shape[-2], mask.shape[-1])
+            sim.add_(mask)
+
+    # attention, what we cannot get enough of
+    sim = sim.softmax(dim=-1)
+
+    out = einsum('b i j, b j d -> b i d', sim.to(v.dtype), v)
+    out = (
+        out.unsqueeze(0)
+        .reshape(b, heads, -1, dim_head)
+        .permute(0, 2, 1, 3)
+        .reshape(b, -1, heads * dim_head)
+    )
+    return out
+
+
+def attention_sub_quad(query, key, value, heads, mask=None, attn_precision=None, skip_reshape=False):
+    attn_precision = get_attn_precision(attn_precision)
+
+    if skip_reshape:
+        b, _, _, dim_head = query.shape
+    else:
+        b, _, dim_head = query.shape
+        dim_head //= heads
+
+    scale = dim_head ** -0.5
+
+    if skip_reshape:
+        query = query.reshape(b * heads, -1, dim_head)
+        value = value.reshape(b * heads, -1, dim_head)
+        key = key.reshape(b * heads, -1, dim_head).movedim(1, 2)
+    else:
+        query = query.unsqueeze(3).reshape(b, -1, heads, dim_head).permute(0, 2, 1, 3).reshape(b * heads, -1, dim_head)
+        value = value.unsqueeze(3).reshape(b, -1, heads, dim_head).permute(0, 2, 1, 3).reshape(b * heads, -1, dim_head)
+        key = key.unsqueeze(3).reshape(b, -1, heads, dim_head).permute(0, 2, 3, 1).reshape(b * heads, dim_head, -1)
+
+
+    dtype = query.dtype
+    upcast_attention = attn_precision == torch.float32 and query.dtype != torch.float32
+    if upcast_attention:
+        bytes_per_token = torch.finfo(torch.float32).bits//8
+    else:
+        bytes_per_token = torch.finfo(query.dtype).bits//8
+    batch_x_heads, q_tokens, _ = query.shape
+    _, _, k_tokens = key.shape
+    qk_matmul_size_bytes = batch_x_heads * bytes_per_token * q_tokens * k_tokens
+
+    mem_free_total, mem_free_torch = model_management.get_free_memory(query.device, True)
+
+    kv_chunk_size_min = None
+    kv_chunk_size = None
+    query_chunk_size = None
+
+    for x in [4096, 2048, 1024, 512, 256]:
+        count = mem_free_total / (batch_x_heads * bytes_per_token * x * 4.0)
+        if count >= k_tokens:
+            kv_chunk_size = k_tokens
+            query_chunk_size = x
+            break
+
+    if query_chunk_size is None:
+        query_chunk_size = 512
+
+    if mask is not None:
+        if len(mask.shape) == 2:
+            bs = 1
+        else:
+            bs = mask.shape[0]
+        mask = mask.reshape(bs, -1, mask.shape[-2], mask.shape[-1]).expand(b, heads, -1, -1).reshape(-1, mask.shape[-2], mask.shape[-1])
+
+    hidden_states = efficient_dot_product_attention(
+        query,
+        key,
+        value,
+        query_chunk_size=query_chunk_size,
+        kv_chunk_size=kv_chunk_size,
+        kv_chunk_size_min=kv_chunk_size_min,
+        use_checkpoint=False,
+        upcast_attention=upcast_attention,
+        mask=mask,
+    )
+
+    hidden_states = hidden_states.to(dtype)
+
+    hidden_states = hidden_states.unflatten(0, (-1, heads)).transpose(1,2).flatten(start_dim=2)
+    return hidden_states
+
+def attention_split(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False):
+    attn_precision = get_attn_precision(attn_precision)
+
+    if skip_reshape:
+        b, _, _, dim_head = q.shape
+    else:
+        b, _, dim_head = q.shape
+        dim_head //= heads
+
+    scale = dim_head ** -0.5
+
+    h = heads
+    if skip_reshape:
+         q, k, v = map(
+            lambda t: t.reshape(b * heads, -1, dim_head),
+            (q, k, v),
+        )
+    else:
+        q, k, v = map(
+            lambda t: t.unsqueeze(3)
+            .reshape(b, -1, heads, dim_head)
+            .permute(0, 2, 1, 3)
+            .reshape(b * heads, -1, dim_head)
+            .contiguous(),
+            (q, k, v),
+        )
+
+    r1 = torch.zeros(q.shape[0], q.shape[1], v.shape[2], device=q.device, dtype=q.dtype)
+
+    mem_free_total = model_management.get_free_memory(q.device)
+
+    if attn_precision == torch.float32:
+        element_size = 4
+        upcast = True
+    else:
+        element_size = q.element_size()
+        upcast = False
+
+    gb = 1024 ** 3
+    tensor_size = q.shape[0] * q.shape[1] * k.shape[1] * element_size
+    modifier = 3
+    mem_required = tensor_size * modifier
+    steps = 1
+
+
+    if mem_required > mem_free_total:
+        steps = 2**(math.ceil(math.log(mem_required / mem_free_total, 2)))
+        # print(f"Expected tensor size:{tensor_size/gb:0.1f}GB, cuda free:{mem_free_cuda/gb:0.1f}GB "
+        #      f"torch free:{mem_free_torch/gb:0.1f} total:{mem_free_total/gb:0.1f} steps:{steps}")
+
+    if steps > 64:
+        max_res = math.floor(math.sqrt(math.sqrt(mem_free_total / 2.5)) / 8) * 64
+        raise RuntimeError(f'Not enough memory, use lower resolution (max approx. {max_res}x{max_res}). '
+                            f'Need: {mem_required/64/gb:0.1f}GB free, Have:{mem_free_total/gb:0.1f}GB free')
+
+    if mask is not None:
+        if len(mask.shape) == 2:
+            bs = 1
+        else:
+            bs = mask.shape[0]
+        mask = mask.reshape(bs, -1, mask.shape[-2], mask.shape[-1]).expand(b, heads, -1, -1).reshape(-1, mask.shape[-2], mask.shape[-1])
+
+    # print("steps", steps, mem_required, mem_free_total, modifier, q.element_size(), tensor_size)
+    first_op_done = False
+    cleared_cache = False
+    while True:
+        try:
+            slice_size = q.shape[1] // steps if (q.shape[1] % steps) == 0 else q.shape[1]
+            for i in range(0, q.shape[1], slice_size):
+                end = i + slice_size
+                if upcast:
+                    with torch.autocast(enabled=False, device_type = 'cuda'):
+                        s1 = einsum('b i d, b j d -> b i j', q[:, i:end].float(), k.float()) * scale
+                else:
+                    s1 = einsum('b i d, b j d -> b i j', q[:, i:end], k) * scale
+
+                if mask is not None:
+                    if len(mask.shape) == 2:
+                        s1 += mask[i:end]
+                    else:
+                        s1 += mask[:, i:end]
+
+                s2 = s1.softmax(dim=-1).to(v.dtype)
+                del s1
+                first_op_done = True
+
+                r1[:, i:end] = einsum('b i j, b j d -> b i d', s2, v)
+                del s2
+            break
+        except model_management.OOM_EXCEPTION as e:
+            if first_op_done == False:
+                model_management.soft_empty_cache(True)
+                if cleared_cache == False:
+                    cleared_cache = True
+                    logging.warning("out of memory error, emptying cache and trying again")
+                    continue
+                steps *= 2
+                if steps > 64:
+                    raise e
+                logging.warning("out of memory error, increasing steps and trying again {}".format(steps))
+            else:
+                raise e
+
+    del q, k, v
+
+    r1 = (
+        r1.unsqueeze(0)
+        .reshape(b, heads, -1, dim_head)
+        .permute(0, 2, 1, 3)
+        .reshape(b, -1, heads * dim_head)
+    )
+    return r1
+
+BROKEN_XFORMERS = False
+try:
+    x_vers = xformers.__version__
+    # XFormers bug confirmed on all versions from 0.0.21 to 0.0.26 (q with bs bigger than 65535 gives CUDA error)
+    BROKEN_XFORMERS = x_vers.startswith("0.0.2") and not x_vers.startswith("0.0.20")
+except:
+    pass
+
+def attention_xformers(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False):
+    if skip_reshape:
+        b, _, _, dim_head = q.shape
+    else:
+        b, _, dim_head = q.shape
+        dim_head //= heads
+
+    disabled_xformers = False
+
+    if BROKEN_XFORMERS:
+        if b * heads > 65535:
+            disabled_xformers = True
+
+    if not disabled_xformers:
+        if torch.jit.is_tracing() or torch.jit.is_scripting():
+            disabled_xformers = True
+
+    if disabled_xformers:
+        return attention_pytorch(q, k, v, heads, mask, skip_reshape=skip_reshape)
+
+    if skip_reshape:
+         q, k, v = map(
+            lambda t: t.reshape(b * heads, -1, dim_head),
+            (q, k, v),
+        )
+    else:
+        q, k, v = map(
+            lambda t: t.reshape(b, -1, heads, dim_head),
+            (q, k, v),
+        )
+
+    if mask is not None:
+        pad = 8 - q.shape[1] % 8
+        mask_out = torch.empty([q.shape[0], q.shape[1], q.shape[1] + pad], dtype=q.dtype, device=q.device)
+        mask_out[:, :, :mask.shape[-1]] = mask
+        mask = mask_out[:, :, :mask.shape[-1]]
+
+    out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=mask)
+
+    if skip_reshape:
+        out = (
+            out.unsqueeze(0)
+            .reshape(b, heads, -1, dim_head)
+            .permute(0, 2, 1, 3)
+            .reshape(b, -1, heads * dim_head)
+        )
+    else:
+        out = (
+            out.reshape(b, -1, heads * dim_head)
+        )
+
+    return out
+
+def attention_pytorch(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False):
+    if skip_reshape:
+        b, _, _, dim_head = q.shape
+    else:
+        b, _, dim_head = q.shape
+        dim_head //= heads
+        q, k, v = map(
+            lambda t: t.view(b, -1, heads, dim_head).transpose(1, 2),
+            (q, k, v),
+        )
+
+    out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False)
+    out = (
+        out.transpose(1, 2).reshape(b, -1, heads * dim_head)
+    )
+    return out
+
+
+optimized_attention = attention_basic
+
+if model_management.xformers_enabled():
+    logging.info("Using xformers cross attention")
+    optimized_attention = attention_xformers
+elif model_management.pytorch_attention_enabled():
+    logging.info("Using pytorch cross attention")
+    optimized_attention = attention_pytorch
+else:
+    if args.use_split_cross_attention:
+        logging.info("Using split optimization for cross attention")
+        optimized_attention = attention_split
+    else:
+        logging.info("Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention")
+        optimized_attention = attention_sub_quad
+
+optimized_attention_masked = optimized_attention
+
+def optimized_attention_for_device(device, mask=False, small_input=False):
+    if small_input:
+        if model_management.pytorch_attention_enabled():
+            return attention_pytorch #TODO: need to confirm but this is probably slightly faster for small inputs in all cases
+        else:
+            return attention_basic
+
+    if device == torch.device("cpu"):
+        return attention_sub_quad
+
+    if mask:
+        return optimized_attention_masked
+
+    return optimized_attention
+
+
+class CrossAttention(nn.Module):
+    def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0., attn_precision=None, dtype=None, device=None, operations=ops):
+        super().__init__()
+        inner_dim = dim_head * heads
+        context_dim = default(context_dim, query_dim)
+        self.attn_precision = attn_precision
+
+        self.heads = heads
+        self.dim_head = dim_head
+
+        self.to_q = operations.Linear(query_dim, inner_dim, bias=False, dtype=dtype, device=device)
+        self.to_k = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
+        self.to_v = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
+
+        self.to_out = nn.Sequential(operations.Linear(inner_dim, query_dim, dtype=dtype, device=device), nn.Dropout(dropout))
+
+    def forward(self, x, context=None, value=None, mask=None):
+        q = self.to_q(x)
+        context = default(context, x)
+        k = self.to_k(context)
+        if value is not None:
+            v = self.to_v(value)
+            del value
+        else:
+            v = self.to_v(context)
+
+        if mask is None:
+            out = optimized_attention(q, k, v, self.heads, attn_precision=self.attn_precision)
+        else:
+            out = optimized_attention_masked(q, k, v, self.heads, mask, attn_precision=self.attn_precision)
+        return self.to_out(out)
+
+
+class BasicTransformerBlock(nn.Module):
+    def __init__(self, dim, n_heads, d_head, dropout=0., context_dim=None, gated_ff=True, checkpoint=True, ff_in=False, inner_dim=None,
+                 disable_self_attn=False, disable_temporal_crossattention=False, switch_temporal_ca_to_sa=False, attn_precision=None, dtype=None, device=None, operations=ops):
+        super().__init__()
+
+        self.ff_in = ff_in or inner_dim is not None
+        if inner_dim is None:
+            inner_dim = dim
+
+        self.is_res = inner_dim == dim
+        self.attn_precision = attn_precision
+
+        if self.ff_in:
+            self.norm_in = operations.LayerNorm(dim, dtype=dtype, device=device)
+            self.ff_in = FeedForward(dim, dim_out=inner_dim, dropout=dropout, glu=gated_ff, dtype=dtype, device=device, operations=operations)
+
+        self.disable_self_attn = disable_self_attn
+        self.attn1 = CrossAttention(query_dim=inner_dim, heads=n_heads, dim_head=d_head, dropout=dropout,
+                              context_dim=context_dim if self.disable_self_attn else None, attn_precision=self.attn_precision, dtype=dtype, device=device, operations=operations)  # is a self-attention if not self.disable_self_attn
+        self.ff = FeedForward(inner_dim, dim_out=dim, dropout=dropout, glu=gated_ff, dtype=dtype, device=device, operations=operations)
+
+        if disable_temporal_crossattention:
+            if switch_temporal_ca_to_sa:
+                raise ValueError
+            else:
+                self.attn2 = None
+        else:
+            context_dim_attn2 = None
+            if not switch_temporal_ca_to_sa:
+                context_dim_attn2 = context_dim
+
+            self.attn2 = CrossAttention(query_dim=inner_dim, context_dim=context_dim_attn2,
+                                heads=n_heads, dim_head=d_head, dropout=dropout, attn_precision=self.attn_precision, dtype=dtype, device=device, operations=operations)  # is self-attn if context is none
+            self.norm2 = operations.LayerNorm(inner_dim, dtype=dtype, device=device)
+
+        self.norm1 = operations.LayerNorm(inner_dim, dtype=dtype, device=device)
+        self.norm3 = operations.LayerNorm(inner_dim, dtype=dtype, device=device)
+        self.n_heads = n_heads
+        self.d_head = d_head
+        self.switch_temporal_ca_to_sa = switch_temporal_ca_to_sa
+
+    def forward(self, x, context=None, transformer_options={}):
+        extra_options = {}
+        block = transformer_options.get("block", None)
+        block_index = transformer_options.get("block_index", 0)
+        transformer_patches = {}
+        transformer_patches_replace = {}
+
+        for k in transformer_options:
+            if k == "patches":
+                transformer_patches = transformer_options[k]
+            elif k == "patches_replace":
+                transformer_patches_replace = transformer_options[k]
+            else:
+                extra_options[k] = transformer_options[k]
+
+        extra_options["n_heads"] = self.n_heads
+        extra_options["dim_head"] = self.d_head
+        extra_options["attn_precision"] = self.attn_precision
+
+        if self.ff_in:
+            x_skip = x
+            x = self.ff_in(self.norm_in(x))
+            if self.is_res:
+                x += x_skip
+
+        n = self.norm1(x)
+        if self.disable_self_attn:
+            context_attn1 = context
+        else:
+            context_attn1 = None
+        value_attn1 = None
+
+        if "attn1_patch" in transformer_patches:
+            patch = transformer_patches["attn1_patch"]
+            if context_attn1 is None:
+                context_attn1 = n
+            value_attn1 = context_attn1
+            for p in patch:
+                n, context_attn1, value_attn1 = p(n, context_attn1, value_attn1, extra_options)
+
+        if block is not None:
+            transformer_block = (block[0], block[1], block_index)
+        else:
+            transformer_block = None
+        attn1_replace_patch = transformer_patches_replace.get("attn1", {})
+        block_attn1 = transformer_block
+        if block_attn1 not in attn1_replace_patch:
+            block_attn1 = block
+
+        if block_attn1 in attn1_replace_patch:
+            if context_attn1 is None:
+                context_attn1 = n
+                value_attn1 = n
+            n = self.attn1.to_q(n)
+            context_attn1 = self.attn1.to_k(context_attn1)
+            value_attn1 = self.attn1.to_v(value_attn1)
+            n = attn1_replace_patch[block_attn1](n, context_attn1, value_attn1, extra_options)
+            n = self.attn1.to_out(n)
+        else:
+            n = self.attn1(n, context=context_attn1, value=value_attn1)
+
+        if "attn1_output_patch" in transformer_patches:
+            patch = transformer_patches["attn1_output_patch"]
+            for p in patch:
+                n = p(n, extra_options)
+
+        x += n
+        if "middle_patch" in transformer_patches:
+            patch = transformer_patches["middle_patch"]
+            for p in patch:
+                x = p(x, extra_options)
+
+        if self.attn2 is not None:
+            n = self.norm2(x)
+            if self.switch_temporal_ca_to_sa:
+                context_attn2 = n
+            else:
+                context_attn2 = context
+            value_attn2 = None
+            if "attn2_patch" in transformer_patches:
+                patch = transformer_patches["attn2_patch"]
+                value_attn2 = context_attn2
+                for p in patch:
+                    n, context_attn2, value_attn2 = p(n, context_attn2, value_attn2, extra_options)
+
+            attn2_replace_patch = transformer_patches_replace.get("attn2", {})
+            block_attn2 = transformer_block
+            if block_attn2 not in attn2_replace_patch:
+                block_attn2 = block
+
+            if block_attn2 in attn2_replace_patch:
+                if value_attn2 is None:
+                    value_attn2 = context_attn2
+                n = self.attn2.to_q(n)
+                context_attn2 = self.attn2.to_k(context_attn2)
+                value_attn2 = self.attn2.to_v(value_attn2)
+                n = attn2_replace_patch[block_attn2](n, context_attn2, value_attn2, extra_options)
+                n = self.attn2.to_out(n)
+            else:
+                n = self.attn2(n, context=context_attn2, value=value_attn2)
+
+        if "attn2_output_patch" in transformer_patches:
+            patch = transformer_patches["attn2_output_patch"]
+            for p in patch:
+                n = p(n, extra_options)
+
+        x += n
+        if self.is_res:
+            x_skip = x
+        x = self.ff(self.norm3(x))
+        if self.is_res:
+            x += x_skip
+
+        return x
+
+
+class SpatialTransformer(nn.Module):
+    """
+    Transformer block for image-like data.
+    First, project the input (aka embedding)
+    and reshape to b, t, d.
+    Then apply standard transformer action.
+    Finally, reshape to image
+    NEW: use_linear for more efficiency instead of the 1x1 convs
+    """
+    def __init__(self, in_channels, n_heads, d_head,
+                 depth=1, dropout=0., context_dim=None,
+                 disable_self_attn=False, use_linear=False,
+                 use_checkpoint=True, attn_precision=None, dtype=None, device=None, operations=ops):
+        super().__init__()
+        if exists(context_dim) and not isinstance(context_dim, list):
+            context_dim = [context_dim] * depth
+        self.in_channels = in_channels
+        inner_dim = n_heads * d_head
+        self.norm = operations.GroupNorm(num_groups=32, num_channels=in_channels, eps=1e-6, affine=True, dtype=dtype, device=device)
+        if not use_linear:
+            self.proj_in = operations.Conv2d(in_channels,
+                                     inner_dim,
+                                     kernel_size=1,
+                                     stride=1,
+                                     padding=0, dtype=dtype, device=device)
+        else:
+            self.proj_in = operations.Linear(in_channels, inner_dim, dtype=dtype, device=device)
+
+        self.transformer_blocks = nn.ModuleList(
+            [BasicTransformerBlock(inner_dim, n_heads, d_head, dropout=dropout, context_dim=context_dim[d],
+                                   disable_self_attn=disable_self_attn, checkpoint=use_checkpoint, attn_precision=attn_precision, dtype=dtype, device=device, operations=operations)
+                for d in range(depth)]
+        )
+        if not use_linear:
+            self.proj_out = operations.Conv2d(inner_dim,in_channels,
+                                                  kernel_size=1,
+                                                  stride=1,
+                                                  padding=0, dtype=dtype, device=device)
+        else:
+            self.proj_out = operations.Linear(in_channels, inner_dim, dtype=dtype, device=device)
+        self.use_linear = use_linear
+
+    def forward(self, x, context=None, transformer_options={}):
+        # note: if no context is given, cross-attention defaults to self-attention
+        if not isinstance(context, list):
+            context = [context] * len(self.transformer_blocks)
+        b, c, h, w = x.shape
+        x_in = x
+        x = self.norm(x)
+        if not self.use_linear:
+            x = self.proj_in(x)
+        x = x.movedim(1, 3).flatten(1, 2).contiguous()
+        if self.use_linear:
+            x = self.proj_in(x)
+        for i, block in enumerate(self.transformer_blocks):
+            transformer_options["block_index"] = i
+            x = block(x, context=context[i], transformer_options=transformer_options)
+        if self.use_linear:
+            x = self.proj_out(x)
+        x = x.reshape(x.shape[0], h, w, x.shape[-1]).movedim(3, 1).contiguous()
+        if not self.use_linear:
+            x = self.proj_out(x)
+        return x + x_in
+
+
+class SpatialVideoTransformer(SpatialTransformer):
+    def __init__(
+        self,
+        in_channels,
+        n_heads,
+        d_head,
+        depth=1,
+        dropout=0.0,
+        use_linear=False,
+        context_dim=None,
+        use_spatial_context=False,
+        timesteps=None,
+        merge_strategy: str = "fixed",
+        merge_factor: float = 0.5,
+        time_context_dim=None,
+        ff_in=False,
+        checkpoint=False,
+        time_depth=1,
+        disable_self_attn=False,
+        disable_temporal_crossattention=False,
+        max_time_embed_period: int = 10000,
+        attn_precision=None,
+        dtype=None, device=None, operations=ops
+    ):
+        super().__init__(
+            in_channels,
+            n_heads,
+            d_head,
+            depth=depth,
+            dropout=dropout,
+            use_checkpoint=checkpoint,
+            context_dim=context_dim,
+            use_linear=use_linear,
+            disable_self_attn=disable_self_attn,
+            attn_precision=attn_precision,
+            dtype=dtype, device=device, operations=operations
+        )
+        self.time_depth = time_depth
+        self.depth = depth
+        self.max_time_embed_period = max_time_embed_period
+
+        time_mix_d_head = d_head
+        n_time_mix_heads = n_heads
+
+        time_mix_inner_dim = int(time_mix_d_head * n_time_mix_heads)
+
+        inner_dim = n_heads * d_head
+        if use_spatial_context:
+            time_context_dim = context_dim
+
+        self.time_stack = nn.ModuleList(
+            [
+                BasicTransformerBlock(
+                    inner_dim,
+                    n_time_mix_heads,
+                    time_mix_d_head,
+                    dropout=dropout,
+                    context_dim=time_context_dim,
+                    # timesteps=timesteps,
+                    checkpoint=checkpoint,
+                    ff_in=ff_in,
+                    inner_dim=time_mix_inner_dim,
+                    disable_self_attn=disable_self_attn,
+                    disable_temporal_crossattention=disable_temporal_crossattention,
+                    attn_precision=attn_precision,
+                    dtype=dtype, device=device, operations=operations
+                )
+                for _ in range(self.depth)
+            ]
+        )
+
+        assert len(self.time_stack) == len(self.transformer_blocks)
+
+        self.use_spatial_context = use_spatial_context
+        self.in_channels = in_channels
+
+        time_embed_dim = self.in_channels * 4
+        self.time_pos_embed = nn.Sequential(
+            operations.Linear(self.in_channels, time_embed_dim, dtype=dtype, device=device),
+            nn.SiLU(),
+            operations.Linear(time_embed_dim, self.in_channels, dtype=dtype, device=device),
+        )
+
+        self.time_mixer = AlphaBlender(
+            alpha=merge_factor, merge_strategy=merge_strategy
+        )
+
+    def forward(
+        self,
+        x: torch.Tensor,
+        context: Optional[torch.Tensor] = None,
+        time_context: Optional[torch.Tensor] = None,
+        timesteps: Optional[int] = None,
+        image_only_indicator: Optional[torch.Tensor] = None,
+        transformer_options={}
+    ) -> torch.Tensor:
+        _, _, h, w = x.shape
+        x_in = x
+        spatial_context = None
+        if exists(context):
+            spatial_context = context
+
+        if self.use_spatial_context:
+            assert (
+                context.ndim == 3
+            ), f"n dims of spatial context should be 3 but are {context.ndim}"
+
+            if time_context is None:
+                time_context = context
+            time_context_first_timestep = time_context[::timesteps]
+            time_context = repeat(
+                time_context_first_timestep, "b ... -> (b n) ...", n=h * w
+            )
+        elif time_context is not None and not self.use_spatial_context:
+            time_context = repeat(time_context, "b ... -> (b n) ...", n=h * w)
+            if time_context.ndim == 2:
+                time_context = rearrange(time_context, "b c -> b 1 c")
+
+        x = self.norm(x)
+        if not self.use_linear:
+            x = self.proj_in(x)
+        x = rearrange(x, "b c h w -> b (h w) c")
+        if self.use_linear:
+            x = self.proj_in(x)
+
+        num_frames = torch.arange(timesteps, device=x.device)
+        num_frames = repeat(num_frames, "t -> b t", b=x.shape[0] // timesteps)
+        num_frames = rearrange(num_frames, "b t -> (b t)")
+        t_emb = timestep_embedding(num_frames, self.in_channels, repeat_only=False, max_period=self.max_time_embed_period).to(x.dtype)
+        emb = self.time_pos_embed(t_emb)
+        emb = emb[:, None, :]
+
+        for it_, (block, mix_block) in enumerate(
+            zip(self.transformer_blocks, self.time_stack)
+        ):
+            transformer_options["block_index"] = it_
+            x = block(
+                x,
+                context=spatial_context,
+                transformer_options=transformer_options,
+            )
+
+            x_mix = x
+            x_mix = x_mix + emb
+
+            B, S, C = x_mix.shape
+            x_mix = rearrange(x_mix, "(b t) s c -> (b s) t c", t=timesteps)
+            x_mix = mix_block(x_mix, context=time_context) #TODO: transformer_options
+            x_mix = rearrange(
+                x_mix, "(b s) t c -> (b t) s c", s=S, b=B // timesteps, c=C, t=timesteps
+            )
+
+            x = self.time_mixer(x_spatial=x, x_temporal=x_mix, image_only_indicator=image_only_indicator)
+
+        if self.use_linear:
+            x = self.proj_out(x)
+        x = rearrange(x, "b (h w) c -> b c h w", h=h, w=w)
+        if not self.use_linear:
+            x = self.proj_out(x)
+        out = x + x_in
+        return out
+
+
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--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/diffusionmodules/mmdit.py
@@ -0,0 +1,935 @@
+import logging
+import math
+from typing import Dict, Optional
+
+import numpy as np
+import torch
+import torch.nn as nn
+from .. import attention
+from einops import rearrange, repeat
+from .util import timestep_embedding
+import comfy.ops
+import comfy.ldm.common_dit
+
+def default(x, y):
+    if x is not None:
+        return x
+    return y
+
+class Mlp(nn.Module):
+    """ MLP as used in Vision Transformer, MLP-Mixer and related networks
+    """
+    def __init__(
+            self,
+            in_features,
+            hidden_features=None,
+            out_features=None,
+            act_layer=nn.GELU,
+            norm_layer=None,
+            bias=True,
+            drop=0.,
+            use_conv=False,
+            dtype=None,
+            device=None,
+            operations=None,
+    ):
+        super().__init__()
+        out_features = out_features or in_features
+        hidden_features = hidden_features or in_features
+        drop_probs = drop
+        linear_layer = partial(operations.Conv2d, kernel_size=1) if use_conv else operations.Linear
+
+        self.fc1 = linear_layer(in_features, hidden_features, bias=bias, dtype=dtype, device=device)
+        self.act = act_layer()
+        self.drop1 = nn.Dropout(drop_probs)
+        self.norm = norm_layer(hidden_features) if norm_layer is not None else nn.Identity()
+        self.fc2 = linear_layer(hidden_features, out_features, bias=bias, dtype=dtype, device=device)
+        self.drop2 = nn.Dropout(drop_probs)
+
+    def forward(self, x):
+        x = self.fc1(x)
+        x = self.act(x)
+        x = self.drop1(x)
+        x = self.norm(x)
+        x = self.fc2(x)
+        x = self.drop2(x)
+        return x
+
+class PatchEmbed(nn.Module):
+    """ 2D Image to Patch Embedding
+    """
+    dynamic_img_pad: torch.jit.Final[bool]
+
+    def __init__(
+            self,
+            img_size: Optional[int] = 224,
+            patch_size: int = 16,
+            in_chans: int = 3,
+            embed_dim: int = 768,
+            norm_layer = None,
+            flatten: bool = True,
+            bias: bool = True,
+            strict_img_size: bool = True,
+            dynamic_img_pad: bool = True,
+            padding_mode='circular',
+            dtype=None,
+            device=None,
+            operations=None,
+    ):
+        super().__init__()
+        self.patch_size = (patch_size, patch_size)
+        self.padding_mode = padding_mode
+        if img_size is not None:
+            self.img_size = (img_size, img_size)
+            self.grid_size = tuple([s // p for s, p in zip(self.img_size, self.patch_size)])
+            self.num_patches = self.grid_size[0] * self.grid_size[1]
+        else:
+            self.img_size = None
+            self.grid_size = None
+            self.num_patches = None
+
+        # flatten spatial dim and transpose to channels last, kept for bwd compat
+        self.flatten = flatten
+        self.strict_img_size = strict_img_size
+        self.dynamic_img_pad = dynamic_img_pad
+
+        self.proj = operations.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size, bias=bias, dtype=dtype, device=device)
+        self.norm = norm_layer(embed_dim) if norm_layer else nn.Identity()
+
+    def forward(self, x):
+        B, C, H, W = x.shape
+        # if self.img_size is not None:
+        #     if self.strict_img_size:
+        #         _assert(H == self.img_size[0], f"Input height ({H}) doesn't match model ({self.img_size[0]}).")
+        #         _assert(W == self.img_size[1], f"Input width ({W}) doesn't match model ({self.img_size[1]}).")
+        #     elif not self.dynamic_img_pad:
+        #         _assert(
+        #             H % self.patch_size[0] == 0,
+        #             f"Input height ({H}) should be divisible by patch size ({self.patch_size[0]})."
+        #         )
+        #         _assert(
+        #             W % self.patch_size[1] == 0,
+        #             f"Input width ({W}) should be divisible by patch size ({self.patch_size[1]})."
+        #         )
+        if self.dynamic_img_pad:
+            x = comfy.ldm.common_dit.pad_to_patch_size(x, self.patch_size, padding_mode=self.padding_mode)
+        x = self.proj(x)
+        if self.flatten:
+            x = x.flatten(2).transpose(1, 2)  # NCHW -> NLC
+        x = self.norm(x)
+        return x
+
+def modulate(x, shift, scale):
+    if shift is None:
+        shift = torch.zeros_like(scale)
+    return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1)
+
+
+#################################################################################
+#                   Sine/Cosine Positional Embedding Functions                  #
+#################################################################################
+
+
+def get_2d_sincos_pos_embed(
+    embed_dim,
+    grid_size,
+    cls_token=False,
+    extra_tokens=0,
+    scaling_factor=None,
+    offset=None,
+):
+    """
+    grid_size: int of the grid height and width
+    return:
+    pos_embed: [grid_size*grid_size, embed_dim] or [1+grid_size*grid_size, embed_dim] (w/ or w/o cls_token)
+    """
+    grid_h = np.arange(grid_size, dtype=np.float32)
+    grid_w = np.arange(grid_size, dtype=np.float32)
+    grid = np.meshgrid(grid_w, grid_h)  # here w goes first
+    grid = np.stack(grid, axis=0)
+    if scaling_factor is not None:
+        grid = grid / scaling_factor
+    if offset is not None:
+        grid = grid - offset
+
+    grid = grid.reshape([2, 1, grid_size, grid_size])
+    pos_embed = get_2d_sincos_pos_embed_from_grid(embed_dim, grid)
+    if cls_token and extra_tokens > 0:
+        pos_embed = np.concatenate(
+            [np.zeros([extra_tokens, embed_dim]), pos_embed], axis=0
+        )
+    return pos_embed
+
+
+def get_2d_sincos_pos_embed_from_grid(embed_dim, grid):
+    assert embed_dim % 2 == 0
+
+    # use half of dimensions to encode grid_h
+    emb_h = get_1d_sincos_pos_embed_from_grid(embed_dim // 2, grid[0])  # (H*W, D/2)
+    emb_w = get_1d_sincos_pos_embed_from_grid(embed_dim // 2, grid[1])  # (H*W, D/2)
+
+    emb = np.concatenate([emb_h, emb_w], axis=1)  # (H*W, D)
+    return emb
+
+
+def get_1d_sincos_pos_embed_from_grid(embed_dim, pos):
+    """
+    embed_dim: output dimension for each position
+    pos: a list of positions to be encoded: size (M,)
+    out: (M, D)
+    """
+    assert embed_dim % 2 == 0
+    omega = np.arange(embed_dim // 2, dtype=np.float64)
+    omega /= embed_dim / 2.0
+    omega = 1.0 / 10000**omega  # (D/2,)
+
+    pos = pos.reshape(-1)  # (M,)
+    out = np.einsum("m,d->md", pos, omega)  # (M, D/2), outer product
+
+    emb_sin = np.sin(out)  # (M, D/2)
+    emb_cos = np.cos(out)  # (M, D/2)
+
+    emb = np.concatenate([emb_sin, emb_cos], axis=1)  # (M, D)
+    return emb
+
+def get_1d_sincos_pos_embed_from_grid_torch(embed_dim, pos, device=None, dtype=torch.float32):
+    omega = torch.arange(embed_dim // 2, device=device, dtype=dtype)
+    omega /= embed_dim / 2.0
+    omega = 1.0 / 10000**omega  # (D/2,)
+    pos = pos.reshape(-1)  # (M,)
+    out = torch.einsum("m,d->md", pos, omega)  # (M, D/2), outer product
+    emb_sin = torch.sin(out)  # (M, D/2)
+    emb_cos = torch.cos(out)  # (M, D/2)
+    emb = torch.cat([emb_sin, emb_cos], dim=1)  # (M, D)
+    return emb
+
+def get_2d_sincos_pos_embed_torch(embed_dim, w, h, val_center=7.5, val_magnitude=7.5, device=None, dtype=torch.float32):
+    small = min(h, w)
+    val_h = (h / small) * val_magnitude
+    val_w = (w / small) * val_magnitude
+    grid_h, grid_w = torch.meshgrid(torch.linspace(-val_h + val_center, val_h + val_center, h, device=device, dtype=dtype), torch.linspace(-val_w + val_center, val_w + val_center, w, device=device, dtype=dtype), indexing='ij')
+    emb_h = get_1d_sincos_pos_embed_from_grid_torch(embed_dim // 2, grid_h, device=device, dtype=dtype)
+    emb_w = get_1d_sincos_pos_embed_from_grid_torch(embed_dim // 2, grid_w, device=device, dtype=dtype)
+    emb = torch.cat([emb_w, emb_h], dim=1)  # (H*W, D)
+    return emb
+
+
+#################################################################################
+#               Embedding Layers for Timesteps and Class Labels                 #
+#################################################################################
+
+
+class TimestepEmbedder(nn.Module):
+    """
+    Embeds scalar timesteps into vector representations.
+    """
+
+    def __init__(self, hidden_size, frequency_embedding_size=256, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.mlp = nn.Sequential(
+            operations.Linear(frequency_embedding_size, hidden_size, bias=True, dtype=dtype, device=device),
+            nn.SiLU(),
+            operations.Linear(hidden_size, hidden_size, bias=True, dtype=dtype, device=device),
+        )
+        self.frequency_embedding_size = frequency_embedding_size
+
+    def forward(self, t, dtype, **kwargs):
+        t_freq = timestep_embedding(t, self.frequency_embedding_size).to(dtype)
+        t_emb = self.mlp(t_freq)
+        return t_emb
+
+
+class VectorEmbedder(nn.Module):
+    """
+    Embeds a flat vector of dimension input_dim
+    """
+
+    def __init__(self, input_dim: int, hidden_size: int, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.mlp = nn.Sequential(
+            operations.Linear(input_dim, hidden_size, bias=True, dtype=dtype, device=device),
+            nn.SiLU(),
+            operations.Linear(hidden_size, hidden_size, bias=True, dtype=dtype, device=device),
+        )
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        emb = self.mlp(x)
+        return emb
+
+
+#################################################################################
+#                                 Core DiT Model                                #
+#################################################################################
+
+
+def split_qkv(qkv, head_dim):
+    qkv = qkv.reshape(qkv.shape[0], qkv.shape[1], 3, -1, head_dim).movedim(2, 0)
+    return qkv[0], qkv[1], qkv[2]
+
+def optimized_attention(qkv, num_heads):
+    return attention.optimized_attention(qkv[0], qkv[1], qkv[2], num_heads)
+
+class SelfAttention(nn.Module):
+    ATTENTION_MODES = ("xformers", "torch", "torch-hb", "math", "debug")
+
+    def __init__(
+        self,
+        dim: int,
+        num_heads: int = 8,
+        qkv_bias: bool = False,
+        qk_scale: Optional[float] = None,
+        proj_drop: float = 0.0,
+        attn_mode: str = "xformers",
+        pre_only: bool = False,
+        qk_norm: Optional[str] = None,
+        rmsnorm: bool = False,
+        dtype=None,
+        device=None,
+        operations=None,
+    ):
+        super().__init__()
+        self.num_heads = num_heads
+        self.head_dim = dim // num_heads
+
+        self.qkv = operations.Linear(dim, dim * 3, bias=qkv_bias, dtype=dtype, device=device)
+        if not pre_only:
+            self.proj = operations.Linear(dim, dim, dtype=dtype, device=device)
+            self.proj_drop = nn.Dropout(proj_drop)
+        assert attn_mode in self.ATTENTION_MODES
+        self.attn_mode = attn_mode
+        self.pre_only = pre_only
+
+        if qk_norm == "rms":
+            self.ln_q = RMSNorm(self.head_dim, elementwise_affine=True, eps=1.0e-6, dtype=dtype, device=device)
+            self.ln_k = RMSNorm(self.head_dim, elementwise_affine=True, eps=1.0e-6, dtype=dtype, device=device)
+        elif qk_norm == "ln":
+            self.ln_q = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1.0e-6, dtype=dtype, device=device)
+            self.ln_k = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1.0e-6, dtype=dtype, device=device)
+        elif qk_norm is None:
+            self.ln_q = nn.Identity()
+            self.ln_k = nn.Identity()
+        else:
+            raise ValueError(qk_norm)
+
+    def pre_attention(self, x: torch.Tensor) -> torch.Tensor:
+        B, L, C = x.shape
+        qkv = self.qkv(x)
+        q, k, v = split_qkv(qkv, self.head_dim)
+        q = self.ln_q(q).reshape(q.shape[0], q.shape[1], -1)
+        k = self.ln_k(k).reshape(q.shape[0], q.shape[1], -1)
+        return (q, k, v)
+
+    def post_attention(self, x: torch.Tensor) -> torch.Tensor:
+        assert not self.pre_only
+        x = self.proj(x)
+        x = self.proj_drop(x)
+        return x
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        qkv = self.pre_attention(x)
+        x = optimized_attention(
+            qkv, num_heads=self.num_heads
+        )
+        x = self.post_attention(x)
+        return x
+
+
+class RMSNorm(torch.nn.Module):
+    def __init__(
+        self, dim: int, elementwise_affine: bool = False, eps: float = 1e-6, device=None, dtype=None
+    ):
+        """
+        Initialize the RMSNorm normalization layer.
+        Args:
+            dim (int): The dimension of the input tensor.
+            eps (float, optional): A small value added to the denominator for numerical stability. Default is 1e-6.
+        Attributes:
+            eps (float): A small value added to the denominator for numerical stability.
+            weight (nn.Parameter): Learnable scaling parameter.
+        """
+        super().__init__()
+        self.eps = eps
+        self.learnable_scale = elementwise_affine
+        if self.learnable_scale:
+            self.weight = nn.Parameter(torch.empty(dim, device=device, dtype=dtype))
+        else:
+            self.register_parameter("weight", None)
+
+    def forward(self, x):
+        return comfy.ldm.common_dit.rms_norm(x, self.weight, self.eps)
+
+
+
+class SwiGLUFeedForward(nn.Module):
+    def __init__(
+        self,
+        dim: int,
+        hidden_dim: int,
+        multiple_of: int,
+        ffn_dim_multiplier: Optional[float] = None,
+    ):
+        """
+        Initialize the FeedForward module.
+
+        Args:
+            dim (int): Input dimension.
+            hidden_dim (int): Hidden dimension of the feedforward layer.
+            multiple_of (int): Value to ensure hidden dimension is a multiple of this value.
+            ffn_dim_multiplier (float, optional): Custom multiplier for hidden dimension. Defaults to None.
+
+        Attributes:
+            w1 (ColumnParallelLinear): Linear transformation for the first layer.
+            w2 (RowParallelLinear): Linear transformation for the second layer.
+            w3 (ColumnParallelLinear): Linear transformation for the third layer.
+
+        """
+        super().__init__()
+        hidden_dim = int(2 * hidden_dim / 3)
+        # custom dim factor multiplier
+        if ffn_dim_multiplier is not None:
+            hidden_dim = int(ffn_dim_multiplier * hidden_dim)
+        hidden_dim = multiple_of * ((hidden_dim + multiple_of - 1) // multiple_of)
+
+        self.w1 = nn.Linear(dim, hidden_dim, bias=False)
+        self.w2 = nn.Linear(hidden_dim, dim, bias=False)
+        self.w3 = nn.Linear(dim, hidden_dim, bias=False)
+
+    def forward(self, x):
+        return self.w2(nn.functional.silu(self.w1(x)) * self.w3(x))
+
+
+class DismantledBlock(nn.Module):
+    """
+    A DiT block with gated adaptive layer norm (adaLN) conditioning.
+    """
+
+    ATTENTION_MODES = ("xformers", "torch", "torch-hb", "math", "debug")
+
+    def __init__(
+        self,
+        hidden_size: int,
+        num_heads: int,
+        mlp_ratio: float = 4.0,
+        attn_mode: str = "xformers",
+        qkv_bias: bool = False,
+        pre_only: bool = False,
+        rmsnorm: bool = False,
+        scale_mod_only: bool = False,
+        swiglu: bool = False,
+        qk_norm: Optional[str] = None,
+        dtype=None,
+        device=None,
+        operations=None,
+        **block_kwargs,
+    ):
+        super().__init__()
+        assert attn_mode in self.ATTENTION_MODES
+        if not rmsnorm:
+            self.norm1 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        else:
+            self.norm1 = RMSNorm(hidden_size, elementwise_affine=False, eps=1e-6)
+        self.attn = SelfAttention(
+            dim=hidden_size,
+            num_heads=num_heads,
+            qkv_bias=qkv_bias,
+            attn_mode=attn_mode,
+            pre_only=pre_only,
+            qk_norm=qk_norm,
+            rmsnorm=rmsnorm,
+            dtype=dtype,
+            device=device,
+            operations=operations
+        )
+        if not pre_only:
+            if not rmsnorm:
+                self.norm2 = operations.LayerNorm(
+                    hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device
+                )
+            else:
+                self.norm2 = RMSNorm(hidden_size, elementwise_affine=False, eps=1e-6)
+        mlp_hidden_dim = int(hidden_size * mlp_ratio)
+        if not pre_only:
+            if not swiglu:
+                self.mlp = Mlp(
+                    in_features=hidden_size,
+                    hidden_features=mlp_hidden_dim,
+                    act_layer=lambda: nn.GELU(approximate="tanh"),
+                    drop=0,
+                    dtype=dtype,
+                    device=device,
+                    operations=operations
+                )
+            else:
+                self.mlp = SwiGLUFeedForward(
+                    dim=hidden_size,
+                    hidden_dim=mlp_hidden_dim,
+                    multiple_of=256,
+                )
+        self.scale_mod_only = scale_mod_only
+        if not scale_mod_only:
+            n_mods = 6 if not pre_only else 2
+        else:
+            n_mods = 4 if not pre_only else 1
+        self.adaLN_modulation = nn.Sequential(
+            nn.SiLU(), operations.Linear(hidden_size, n_mods * hidden_size, bias=True, dtype=dtype, device=device)
+        )
+        self.pre_only = pre_only
+
+    def pre_attention(self, x: torch.Tensor, c: torch.Tensor) -> torch.Tensor:
+        if not self.pre_only:
+            if not self.scale_mod_only:
+                (
+                    shift_msa,
+                    scale_msa,
+                    gate_msa,
+                    shift_mlp,
+                    scale_mlp,
+                    gate_mlp,
+                ) = self.adaLN_modulation(c).chunk(6, dim=1)
+            else:
+                shift_msa = None
+                shift_mlp = None
+                (
+                    scale_msa,
+                    gate_msa,
+                    scale_mlp,
+                    gate_mlp,
+                ) = self.adaLN_modulation(
+                    c
+                ).chunk(4, dim=1)
+            qkv = self.attn.pre_attention(modulate(self.norm1(x), shift_msa, scale_msa))
+            return qkv, (
+                x,
+                gate_msa,
+                shift_mlp,
+                scale_mlp,
+                gate_mlp,
+            )
+        else:
+            if not self.scale_mod_only:
+                (
+                    shift_msa,
+                    scale_msa,
+                ) = self.adaLN_modulation(
+                    c
+                ).chunk(2, dim=1)
+            else:
+                shift_msa = None
+                scale_msa = self.adaLN_modulation(c)
+            qkv = self.attn.pre_attention(modulate(self.norm1(x), shift_msa, scale_msa))
+            return qkv, None
+
+    def post_attention(self, attn, x, gate_msa, shift_mlp, scale_mlp, gate_mlp):
+        assert not self.pre_only
+        x = x + gate_msa.unsqueeze(1) * self.attn.post_attention(attn)
+        x = x + gate_mlp.unsqueeze(1) * self.mlp(
+            modulate(self.norm2(x), shift_mlp, scale_mlp)
+        )
+        return x
+
+    def forward(self, x: torch.Tensor, c: torch.Tensor) -> torch.Tensor:
+        assert not self.pre_only
+        qkv, intermediates = self.pre_attention(x, c)
+        attn = optimized_attention(
+            qkv,
+            num_heads=self.attn.num_heads,
+        )
+        return self.post_attention(attn, *intermediates)
+
+
+def block_mixing(*args, use_checkpoint=True, **kwargs):
+    if use_checkpoint:
+        return torch.utils.checkpoint.checkpoint(
+            _block_mixing, *args, use_reentrant=False, **kwargs
+        )
+    else:
+        return _block_mixing(*args, **kwargs)
+
+
+def _block_mixing(context, x, context_block, x_block, c):
+    context_qkv, context_intermediates = context_block.pre_attention(context, c)
+
+    x_qkv, x_intermediates = x_block.pre_attention(x, c)
+
+    o = []
+    for t in range(3):
+        o.append(torch.cat((context_qkv[t], x_qkv[t]), dim=1))
+    qkv = tuple(o)
+
+    attn = optimized_attention(
+        qkv,
+        num_heads=x_block.attn.num_heads,
+    )
+    context_attn, x_attn = (
+        attn[:, : context_qkv[0].shape[1]],
+        attn[:, context_qkv[0].shape[1] :],
+    )
+
+    if not context_block.pre_only:
+        context = context_block.post_attention(context_attn, *context_intermediates)
+
+    else:
+        context = None
+    x = x_block.post_attention(x_attn, *x_intermediates)
+    return context, x
+
+
+class JointBlock(nn.Module):
+    """just a small wrapper to serve as a fsdp unit"""
+
+    def __init__(
+        self,
+        *args,
+        **kwargs,
+    ):
+        super().__init__()
+        pre_only = kwargs.pop("pre_only")
+        qk_norm = kwargs.pop("qk_norm", None)
+        self.context_block = DismantledBlock(*args, pre_only=pre_only, qk_norm=qk_norm, **kwargs)
+        self.x_block = DismantledBlock(*args, pre_only=False, qk_norm=qk_norm, **kwargs)
+
+    def forward(self, *args, **kwargs):
+        return block_mixing(
+            *args, context_block=self.context_block, x_block=self.x_block, **kwargs
+        )
+
+
+class FinalLayer(nn.Module):
+    """
+    The final layer of DiT.
+    """
+
+    def __init__(
+        self,
+        hidden_size: int,
+        patch_size: int,
+        out_channels: int,
+        total_out_channels: Optional[int] = None,
+        dtype=None,
+        device=None,
+        operations=None,
+    ):
+        super().__init__()
+        self.norm_final = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.linear = (
+            operations.Linear(hidden_size, patch_size * patch_size * out_channels, bias=True, dtype=dtype, device=device)
+            if (total_out_channels is None)
+            else operations.Linear(hidden_size, total_out_channels, bias=True, dtype=dtype, device=device)
+        )
+        self.adaLN_modulation = nn.Sequential(
+            nn.SiLU(), operations.Linear(hidden_size, 2 * hidden_size, bias=True, dtype=dtype, device=device)
+        )
+
+    def forward(self, x: torch.Tensor, c: torch.Tensor) -> torch.Tensor:
+        shift, scale = self.adaLN_modulation(c).chunk(2, dim=1)
+        x = modulate(self.norm_final(x), shift, scale)
+        x = self.linear(x)
+        return x
+
+class SelfAttentionContext(nn.Module):
+    def __init__(self, dim, heads=8, dim_head=64, dtype=None, device=None, operations=None):
+        super().__init__()
+        dim_head = dim // heads
+        inner_dim = dim
+
+        self.heads = heads
+        self.dim_head = dim_head
+
+        self.qkv = operations.Linear(dim, dim * 3, bias=True, dtype=dtype, device=device)
+
+        self.proj = operations.Linear(inner_dim, dim, dtype=dtype, device=device)
+
+    def forward(self, x):
+        qkv = self.qkv(x)
+        q, k, v = split_qkv(qkv, self.dim_head)
+        x = optimized_attention((q.reshape(q.shape[0], q.shape[1], -1), k, v), self.heads)
+        return self.proj(x)
+
+class ContextProcessorBlock(nn.Module):
+    def __init__(self, context_size, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.norm1 = operations.LayerNorm(context_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.attn = SelfAttentionContext(context_size, dtype=dtype, device=device, operations=operations)
+        self.norm2 = operations.LayerNorm(context_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+        self.mlp = Mlp(in_features=context_size, hidden_features=(context_size * 4), act_layer=lambda: nn.GELU(approximate="tanh"), drop=0, dtype=dtype, device=device, operations=operations)
+
+    def forward(self, x):
+        x += self.attn(self.norm1(x))
+        x += self.mlp(self.norm2(x))
+        return x
+
+class ContextProcessor(nn.Module):
+    def __init__(self, context_size, num_layers, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.layers = torch.nn.ModuleList([ContextProcessorBlock(context_size, dtype=dtype, device=device, operations=operations) for i in range(num_layers)])
+        self.norm = operations.LayerNorm(context_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device)
+
+    def forward(self, x):
+        for i, l in enumerate(self.layers):
+            x = l(x)
+        return self.norm(x)
+
+class MMDiT(nn.Module):
+    """
+    Diffusion model with a Transformer backbone.
+    """
+
+    def __init__(
+        self,
+        input_size: int = 32,
+        patch_size: int = 2,
+        in_channels: int = 4,
+        depth: int = 28,
+        # hidden_size: Optional[int] = None,
+        # num_heads: Optional[int] = None,
+        mlp_ratio: float = 4.0,
+        learn_sigma: bool = False,
+        adm_in_channels: Optional[int] = None,
+        context_embedder_config: Optional[Dict] = None,
+        compile_core: bool = False,
+        use_checkpoint: bool = False,
+        register_length: int = 0,
+        attn_mode: str = "torch",
+        rmsnorm: bool = False,
+        scale_mod_only: bool = False,
+        swiglu: bool = False,
+        out_channels: Optional[int] = None,
+        pos_embed_scaling_factor: Optional[float] = None,
+        pos_embed_offset: Optional[float] = None,
+        pos_embed_max_size: Optional[int] = None,
+        num_patches = None,
+        qk_norm: Optional[str] = None,
+        qkv_bias: bool = True,
+        context_processor_layers = None,
+        context_size = 4096,
+        num_blocks = None,
+        final_layer = True,
+        dtype = None, #TODO
+        device = None,
+        operations = None,
+    ):
+        super().__init__()
+        self.dtype = dtype
+        self.learn_sigma = learn_sigma
+        self.in_channels = in_channels
+        default_out_channels = in_channels * 2 if learn_sigma else in_channels
+        self.out_channels = default(out_channels, default_out_channels)
+        self.patch_size = patch_size
+        self.pos_embed_scaling_factor = pos_embed_scaling_factor
+        self.pos_embed_offset = pos_embed_offset
+        self.pos_embed_max_size = pos_embed_max_size
+
+        # hidden_size = default(hidden_size, 64 * depth)
+        # num_heads = default(num_heads, hidden_size // 64)
+
+        # apply magic --> this defines a head_size of 64
+        self.hidden_size = 64 * depth
+        num_heads = depth
+        if num_blocks is None:
+            num_blocks = depth
+
+        self.depth = depth
+        self.num_heads = num_heads
+
+        self.x_embedder = PatchEmbed(
+            input_size,
+            patch_size,
+            in_channels,
+            self.hidden_size,
+            bias=True,
+            strict_img_size=self.pos_embed_max_size is None,
+            dtype=dtype,
+            device=device,
+            operations=operations
+        )
+        self.t_embedder = TimestepEmbedder(self.hidden_size, dtype=dtype, device=device, operations=operations)
+
+        self.y_embedder = None
+        if adm_in_channels is not None:
+            assert isinstance(adm_in_channels, int)
+            self.y_embedder = VectorEmbedder(adm_in_channels, self.hidden_size, dtype=dtype, device=device, operations=operations)
+
+        if context_processor_layers is not None:
+            self.context_processor = ContextProcessor(context_size, context_processor_layers, dtype=dtype, device=device, operations=operations)
+        else:
+            self.context_processor = None
+
+        self.context_embedder = nn.Identity()
+        if context_embedder_config is not None:
+            if context_embedder_config["target"] == "torch.nn.Linear":
+                self.context_embedder = operations.Linear(**context_embedder_config["params"], dtype=dtype, device=device)
+
+        self.register_length = register_length
+        if self.register_length > 0:
+            self.register = nn.Parameter(torch.randn(1, register_length, self.hidden_size, dtype=dtype, device=device))
+
+        # num_patches = self.x_embedder.num_patches
+        # Will use fixed sin-cos embedding:
+        # just use a buffer already
+        if num_patches is not None:
+            self.register_buffer(
+                "pos_embed",
+                torch.empty(1, num_patches, self.hidden_size, dtype=dtype, device=device),
+            )
+        else:
+            self.pos_embed = None
+
+        self.use_checkpoint = use_checkpoint
+        self.joint_blocks = nn.ModuleList(
+            [
+                JointBlock(
+                    self.hidden_size,
+                    num_heads,
+                    mlp_ratio=mlp_ratio,
+                    qkv_bias=qkv_bias,
+                    attn_mode=attn_mode,
+                    pre_only=(i == num_blocks - 1) and final_layer,
+                    rmsnorm=rmsnorm,
+                    scale_mod_only=scale_mod_only,
+                    swiglu=swiglu,
+                    qk_norm=qk_norm,
+                    dtype=dtype,
+                    device=device,
+                    operations=operations
+                )
+                for i in range(num_blocks)
+            ]
+        )
+
+        if final_layer:
+            self.final_layer = FinalLayer(self.hidden_size, patch_size, self.out_channels, dtype=dtype, device=device, operations=operations)
+
+        if compile_core:
+            assert False
+            self.forward_core_with_concat = torch.compile(self.forward_core_with_concat)
+
+    def cropped_pos_embed(self, hw, device=None):
+        p = self.x_embedder.patch_size[0]
+        h, w = hw
+        # patched size
+        h = (h + 1) // p
+        w = (w + 1) // p
+        if self.pos_embed is None:
+            return get_2d_sincos_pos_embed_torch(self.hidden_size, w, h, device=device)
+        assert self.pos_embed_max_size is not None
+        assert h <= self.pos_embed_max_size, (h, self.pos_embed_max_size)
+        assert w <= self.pos_embed_max_size, (w, self.pos_embed_max_size)
+        top = (self.pos_embed_max_size - h) // 2
+        left = (self.pos_embed_max_size - w) // 2
+        spatial_pos_embed = rearrange(
+            self.pos_embed,
+            "1 (h w) c -> 1 h w c",
+            h=self.pos_embed_max_size,
+            w=self.pos_embed_max_size,
+        )
+        spatial_pos_embed = spatial_pos_embed[:, top : top + h, left : left + w, :]
+        spatial_pos_embed = rearrange(spatial_pos_embed, "1 h w c -> 1 (h w) c")
+        # print(spatial_pos_embed, top, left, h, w)
+        # # t = get_2d_sincos_pos_embed_torch(self.hidden_size, w, h, 7.875, 7.875, device=device) #matches exactly for 1024 res
+        # t = get_2d_sincos_pos_embed_torch(self.hidden_size, w, h, 7.5, 7.5, device=device) #scales better
+        # # print(t)
+        # return t
+        return spatial_pos_embed
+
+    def unpatchify(self, x, hw=None):
+        """
+        x: (N, T, patch_size**2 * C)
+        imgs: (N, H, W, C)
+        """
+        c = self.out_channels
+        p = self.x_embedder.patch_size[0]
+        if hw is None:
+            h = w = int(x.shape[1] ** 0.5)
+        else:
+            h, w = hw
+            h = (h + 1) // p
+            w = (w + 1) // p
+        assert h * w == x.shape[1]
+
+        x = x.reshape(shape=(x.shape[0], h, w, p, p, c))
+        x = torch.einsum("nhwpqc->nchpwq", x)
+        imgs = x.reshape(shape=(x.shape[0], c, h * p, w * p))
+        return imgs
+
+    def forward_core_with_concat(
+        self,
+        x: torch.Tensor,
+        c_mod: torch.Tensor,
+        context: Optional[torch.Tensor] = None,
+        control = None,
+    ) -> torch.Tensor:
+        if self.register_length > 0:
+            context = torch.cat(
+                (
+                    repeat(self.register, "1 ... -> b ...", b=x.shape[0]),
+                    default(context, torch.Tensor([]).type_as(x)),
+                ),
+                1,
+            )
+
+        # context is B, L', D
+        # x is B, L, D
+        blocks = len(self.joint_blocks)
+        for i in range(blocks):
+            context, x = self.joint_blocks[i](
+                context,
+                x,
+                c=c_mod,
+                use_checkpoint=self.use_checkpoint,
+            )
+            if control is not None:
+                control_o = control.get("output")
+                if i < len(control_o):
+                    add = control_o[i]
+                    if add is not None:
+                        x += add
+
+        x = self.final_layer(x, c_mod)  # (N, T, patch_size ** 2 * out_channels)
+        return x
+
+    def forward(
+        self,
+        x: torch.Tensor,
+        t: torch.Tensor,
+        y: Optional[torch.Tensor] = None,
+        context: Optional[torch.Tensor] = None,
+        control = None,
+    ) -> torch.Tensor:
+        """
+        Forward pass of DiT.
+        x: (N, C, H, W) tensor of spatial inputs (images or latent representations of images)
+        t: (N,) tensor of diffusion timesteps
+        y: (N,) tensor of class labels
+        """
+
+        if self.context_processor is not None:
+            context = self.context_processor(context)
+
+        hw = x.shape[-2:]
+        x = self.x_embedder(x) + comfy.ops.cast_to_input(self.cropped_pos_embed(hw, device=x.device), x)
+        c = self.t_embedder(t, dtype=x.dtype)  # (N, D)
+        if y is not None and self.y_embedder is not None:
+            y = self.y_embedder(y)  # (N, D)
+            c = c + y  # (N, D)
+
+        if context is not None:
+            context = self.context_embedder(context)
+
+        x = self.forward_core_with_concat(x, c, context, control)
+
+        x = self.unpatchify(x, hw=hw)  # (N, out_channels, H, W)
+        return x[:,:,:hw[-2],:hw[-1]]
+
+
+class OpenAISignatureMMDITWrapper(MMDiT):
+    def forward(
+        self,
+        x: torch.Tensor,
+        timesteps: torch.Tensor,
+        context: Optional[torch.Tensor] = None,
+        y: Optional[torch.Tensor] = None,
+        control = None,
+        **kwargs,
+    ) -> torch.Tensor:
+        return super().forward(x, timesteps, context=context, y=y, control=control)
+
diff --git a/ComfyUI/comfy/ldm/modules/diffusionmodules/model.py b/ComfyUI/comfy/ldm/modules/diffusionmodules/model.py
new file mode 100644
index 0000000000000000000000000000000000000000..04eb83b2181253e3a88f7945f75e017060e02ebf
--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/diffusionmodules/model.py
@@ -0,0 +1,650 @@
+# pytorch_diffusion + derived encoder decoder
+import math
+import torch
+import torch.nn as nn
+import numpy as np
+from typing import Optional, Any
+import logging
+
+from comfy import model_management
+import comfy.ops
+ops = comfy.ops.disable_weight_init
+
+if model_management.xformers_enabled_vae():
+    import xformers
+    import xformers.ops
+
+def get_timestep_embedding(timesteps, embedding_dim):
+    """
+    This matches the implementation in Denoising Diffusion Probabilistic Models:
+    From Fairseq.
+    Build sinusoidal embeddings.
+    This matches the implementation in tensor2tensor, but differs slightly
+    from the description in Section 3.5 of "Attention Is All You Need".
+    """
+    assert len(timesteps.shape) == 1
+
+    half_dim = embedding_dim // 2
+    emb = math.log(10000) / (half_dim - 1)
+    emb = torch.exp(torch.arange(half_dim, dtype=torch.float32) * -emb)
+    emb = emb.to(device=timesteps.device)
+    emb = timesteps.float()[:, None] * emb[None, :]
+    emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=1)
+    if embedding_dim % 2 == 1:  # zero pad
+        emb = torch.nn.functional.pad(emb, (0,1,0,0))
+    return emb
+
+
+def nonlinearity(x):
+    # swish
+    return x*torch.sigmoid(x)
+
+
+def Normalize(in_channels, num_groups=32):
+    return ops.GroupNorm(num_groups=num_groups, num_channels=in_channels, eps=1e-6, affine=True)
+
+
+class Upsample(nn.Module):
+    def __init__(self, in_channels, with_conv):
+        super().__init__()
+        self.with_conv = with_conv
+        if self.with_conv:
+            self.conv = ops.Conv2d(in_channels,
+                                        in_channels,
+                                        kernel_size=3,
+                                        stride=1,
+                                        padding=1)
+
+    def forward(self, x):
+        try:
+            x = torch.nn.functional.interpolate(x, scale_factor=2.0, mode="nearest")
+        except: #operation not implemented for bf16
+            b, c, h, w = x.shape
+            out = torch.empty((b, c, h*2, w*2), dtype=x.dtype, layout=x.layout, device=x.device)
+            split = 8
+            l = out.shape[1] // split
+            for i in range(0, out.shape[1], l):
+                out[:,i:i+l] = torch.nn.functional.interpolate(x[:,i:i+l].to(torch.float32), scale_factor=2.0, mode="nearest").to(x.dtype)
+            del x
+            x = out
+
+        if self.with_conv:
+            x = self.conv(x)
+        return x
+
+
+class Downsample(nn.Module):
+    def __init__(self, in_channels, with_conv):
+        super().__init__()
+        self.with_conv = with_conv
+        if self.with_conv:
+            # no asymmetric padding in torch conv, must do it ourselves
+            self.conv = ops.Conv2d(in_channels,
+                                        in_channels,
+                                        kernel_size=3,
+                                        stride=2,
+                                        padding=0)
+
+    def forward(self, x):
+        if self.with_conv:
+            pad = (0,1,0,1)
+            x = torch.nn.functional.pad(x, pad, mode="constant", value=0)
+            x = self.conv(x)
+        else:
+            x = torch.nn.functional.avg_pool2d(x, kernel_size=2, stride=2)
+        return x
+
+
+class ResnetBlock(nn.Module):
+    def __init__(self, *, in_channels, out_channels=None, conv_shortcut=False,
+                 dropout, temb_channels=512):
+        super().__init__()
+        self.in_channels = in_channels
+        out_channels = in_channels if out_channels is None else out_channels
+        self.out_channels = out_channels
+        self.use_conv_shortcut = conv_shortcut
+
+        self.swish = torch.nn.SiLU(inplace=True)
+        self.norm1 = Normalize(in_channels)
+        self.conv1 = ops.Conv2d(in_channels,
+                                     out_channels,
+                                     kernel_size=3,
+                                     stride=1,
+                                     padding=1)
+        if temb_channels > 0:
+            self.temb_proj = ops.Linear(temb_channels,
+                                             out_channels)
+        self.norm2 = Normalize(out_channels)
+        self.dropout = torch.nn.Dropout(dropout, inplace=True)
+        self.conv2 = ops.Conv2d(out_channels,
+                                     out_channels,
+                                     kernel_size=3,
+                                     stride=1,
+                                     padding=1)
+        if self.in_channels != self.out_channels:
+            if self.use_conv_shortcut:
+                self.conv_shortcut = ops.Conv2d(in_channels,
+                                                     out_channels,
+                                                     kernel_size=3,
+                                                     stride=1,
+                                                     padding=1)
+            else:
+                self.nin_shortcut = ops.Conv2d(in_channels,
+                                                    out_channels,
+                                                    kernel_size=1,
+                                                    stride=1,
+                                                    padding=0)
+
+    def forward(self, x, temb):
+        h = x
+        h = self.norm1(h)
+        h = self.swish(h)
+        h = self.conv1(h)
+
+        if temb is not None:
+            h = h + self.temb_proj(self.swish(temb))[:,:,None,None]
+
+        h = self.norm2(h)
+        h = self.swish(h)
+        h = self.dropout(h)
+        h = self.conv2(h)
+
+        if self.in_channels != self.out_channels:
+            if self.use_conv_shortcut:
+                x = self.conv_shortcut(x)
+            else:
+                x = self.nin_shortcut(x)
+
+        return x+h
+
+def slice_attention(q, k, v):
+    r1 = torch.zeros_like(k, device=q.device)
+    scale = (int(q.shape[-1])**(-0.5))
+
+    mem_free_total = model_management.get_free_memory(q.device)
+
+    gb = 1024 ** 3
+    tensor_size = q.shape[0] * q.shape[1] * k.shape[2] * q.element_size()
+    modifier = 3 if q.element_size() == 2 else 2.5
+    mem_required = tensor_size * modifier
+    steps = 1
+
+    if mem_required > mem_free_total:
+        steps = 2**(math.ceil(math.log(mem_required / mem_free_total, 2)))
+
+    while True:
+        try:
+            slice_size = q.shape[1] // steps if (q.shape[1] % steps) == 0 else q.shape[1]
+            for i in range(0, q.shape[1], slice_size):
+                end = i + slice_size
+                s1 = torch.bmm(q[:, i:end], k) * scale
+
+                s2 = torch.nn.functional.softmax(s1, dim=2).permute(0,2,1)
+                del s1
+
+                r1[:, :, i:end] = torch.bmm(v, s2)
+                del s2
+            break
+        except model_management.OOM_EXCEPTION as e:
+            model_management.soft_empty_cache(True)
+            steps *= 2
+            if steps > 128:
+                raise e
+            logging.warning("out of memory error, increasing steps and trying again {}".format(steps))
+
+    return r1
+
+def normal_attention(q, k, v):
+    # compute attention
+    b,c,h,w = q.shape
+
+    q = q.reshape(b,c,h*w)
+    q = q.permute(0,2,1)   # b,hw,c
+    k = k.reshape(b,c,h*w) # b,c,hw
+    v = v.reshape(b,c,h*w)
+
+    r1 = slice_attention(q, k, v)
+    h_ = r1.reshape(b,c,h,w)
+    del r1
+    return h_
+
+def xformers_attention(q, k, v):
+    # compute attention
+    B, C, H, W = q.shape
+    q, k, v = map(
+        lambda t: t.view(B, C, -1).transpose(1, 2).contiguous(),
+        (q, k, v),
+    )
+
+    try:
+        out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None)
+        out = out.transpose(1, 2).reshape(B, C, H, W)
+    except NotImplementedError as e:
+        out = slice_attention(q.view(B, -1, C), k.view(B, -1, C).transpose(1, 2), v.view(B, -1, C).transpose(1, 2)).reshape(B, C, H, W)
+    return out
+
+def pytorch_attention(q, k, v):
+    # compute attention
+    B, C, H, W = q.shape
+    q, k, v = map(
+        lambda t: t.view(B, 1, C, -1).transpose(2, 3).contiguous(),
+        (q, k, v),
+    )
+
+    try:
+        out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=None, dropout_p=0.0, is_causal=False)
+        out = out.transpose(2, 3).reshape(B, C, H, W)
+    except model_management.OOM_EXCEPTION as e:
+        logging.warning("scaled_dot_product_attention OOMed: switched to slice attention")
+        out = slice_attention(q.view(B, -1, C), k.view(B, -1, C).transpose(1, 2), v.view(B, -1, C).transpose(1, 2)).reshape(B, C, H, W)
+    return out
+
+
+class AttnBlock(nn.Module):
+    def __init__(self, in_channels):
+        super().__init__()
+        self.in_channels = in_channels
+
+        self.norm = Normalize(in_channels)
+        self.q = ops.Conv2d(in_channels,
+                                 in_channels,
+                                 kernel_size=1,
+                                 stride=1,
+                                 padding=0)
+        self.k = ops.Conv2d(in_channels,
+                                 in_channels,
+                                 kernel_size=1,
+                                 stride=1,
+                                 padding=0)
+        self.v = ops.Conv2d(in_channels,
+                                 in_channels,
+                                 kernel_size=1,
+                                 stride=1,
+                                 padding=0)
+        self.proj_out = ops.Conv2d(in_channels,
+                                        in_channels,
+                                        kernel_size=1,
+                                        stride=1,
+                                        padding=0)
+
+        if model_management.xformers_enabled_vae():
+            logging.info("Using xformers attention in VAE")
+            self.optimized_attention = xformers_attention
+        elif model_management.pytorch_attention_enabled():
+            logging.info("Using pytorch attention in VAE")
+            self.optimized_attention = pytorch_attention
+        else:
+            logging.info("Using split attention in VAE")
+            self.optimized_attention = normal_attention
+
+    def forward(self, x):
+        h_ = x
+        h_ = self.norm(h_)
+        q = self.q(h_)
+        k = self.k(h_)
+        v = self.v(h_)
+
+        h_ = self.optimized_attention(q, k, v)
+
+        h_ = self.proj_out(h_)
+
+        return x+h_
+
+
+def make_attn(in_channels, attn_type="vanilla", attn_kwargs=None):
+    return AttnBlock(in_channels)
+
+
+class Model(nn.Module):
+    def __init__(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks,
+                 attn_resolutions, dropout=0.0, resamp_with_conv=True, in_channels,
+                 resolution, use_timestep=True, use_linear_attn=False, attn_type="vanilla"):
+        super().__init__()
+        if use_linear_attn: attn_type = "linear"
+        self.ch = ch
+        self.temb_ch = self.ch*4
+        self.num_resolutions = len(ch_mult)
+        self.num_res_blocks = num_res_blocks
+        self.resolution = resolution
+        self.in_channels = in_channels
+
+        self.use_timestep = use_timestep
+        if self.use_timestep:
+            # timestep embedding
+            self.temb = nn.Module()
+            self.temb.dense = nn.ModuleList([
+                ops.Linear(self.ch,
+                                self.temb_ch),
+                ops.Linear(self.temb_ch,
+                                self.temb_ch),
+            ])
+
+        # downsampling
+        self.conv_in = ops.Conv2d(in_channels,
+                                       self.ch,
+                                       kernel_size=3,
+                                       stride=1,
+                                       padding=1)
+
+        curr_res = resolution
+        in_ch_mult = (1,)+tuple(ch_mult)
+        self.down = nn.ModuleList()
+        for i_level in range(self.num_resolutions):
+            block = nn.ModuleList()
+            attn = nn.ModuleList()
+            block_in = ch*in_ch_mult[i_level]
+            block_out = ch*ch_mult[i_level]
+            for i_block in range(self.num_res_blocks):
+                block.append(ResnetBlock(in_channels=block_in,
+                                         out_channels=block_out,
+                                         temb_channels=self.temb_ch,
+                                         dropout=dropout))
+                block_in = block_out
+                if curr_res in attn_resolutions:
+                    attn.append(make_attn(block_in, attn_type=attn_type))
+            down = nn.Module()
+            down.block = block
+            down.attn = attn
+            if i_level != self.num_resolutions-1:
+                down.downsample = Downsample(block_in, resamp_with_conv)
+                curr_res = curr_res // 2
+            self.down.append(down)
+
+        # middle
+        self.mid = nn.Module()
+        self.mid.block_1 = ResnetBlock(in_channels=block_in,
+                                       out_channels=block_in,
+                                       temb_channels=self.temb_ch,
+                                       dropout=dropout)
+        self.mid.attn_1 = make_attn(block_in, attn_type=attn_type)
+        self.mid.block_2 = ResnetBlock(in_channels=block_in,
+                                       out_channels=block_in,
+                                       temb_channels=self.temb_ch,
+                                       dropout=dropout)
+
+        # upsampling
+        self.up = nn.ModuleList()
+        for i_level in reversed(range(self.num_resolutions)):
+            block = nn.ModuleList()
+            attn = nn.ModuleList()
+            block_out = ch*ch_mult[i_level]
+            skip_in = ch*ch_mult[i_level]
+            for i_block in range(self.num_res_blocks+1):
+                if i_block == self.num_res_blocks:
+                    skip_in = ch*in_ch_mult[i_level]
+                block.append(ResnetBlock(in_channels=block_in+skip_in,
+                                         out_channels=block_out,
+                                         temb_channels=self.temb_ch,
+                                         dropout=dropout))
+                block_in = block_out
+                if curr_res in attn_resolutions:
+                    attn.append(make_attn(block_in, attn_type=attn_type))
+            up = nn.Module()
+            up.block = block
+            up.attn = attn
+            if i_level != 0:
+                up.upsample = Upsample(block_in, resamp_with_conv)
+                curr_res = curr_res * 2
+            self.up.insert(0, up) # prepend to get consistent order
+
+        # end
+        self.norm_out = Normalize(block_in)
+        self.conv_out = ops.Conv2d(block_in,
+                                        out_ch,
+                                        kernel_size=3,
+                                        stride=1,
+                                        padding=1)
+
+    def forward(self, x, t=None, context=None):
+        #assert x.shape[2] == x.shape[3] == self.resolution
+        if context is not None:
+            # assume aligned context, cat along channel axis
+            x = torch.cat((x, context), dim=1)
+        if self.use_timestep:
+            # timestep embedding
+            assert t is not None
+            temb = get_timestep_embedding(t, self.ch)
+            temb = self.temb.dense[0](temb)
+            temb = nonlinearity(temb)
+            temb = self.temb.dense[1](temb)
+        else:
+            temb = None
+
+        # downsampling
+        hs = [self.conv_in(x)]
+        for i_level in range(self.num_resolutions):
+            for i_block in range(self.num_res_blocks):
+                h = self.down[i_level].block[i_block](hs[-1], temb)
+                if len(self.down[i_level].attn) > 0:
+                    h = self.down[i_level].attn[i_block](h)
+                hs.append(h)
+            if i_level != self.num_resolutions-1:
+                hs.append(self.down[i_level].downsample(hs[-1]))
+
+        # middle
+        h = hs[-1]
+        h = self.mid.block_1(h, temb)
+        h = self.mid.attn_1(h)
+        h = self.mid.block_2(h, temb)
+
+        # upsampling
+        for i_level in reversed(range(self.num_resolutions)):
+            for i_block in range(self.num_res_blocks+1):
+                h = self.up[i_level].block[i_block](
+                    torch.cat([h, hs.pop()], dim=1), temb)
+                if len(self.up[i_level].attn) > 0:
+                    h = self.up[i_level].attn[i_block](h)
+            if i_level != 0:
+                h = self.up[i_level].upsample(h)
+
+        # end
+        h = self.norm_out(h)
+        h = nonlinearity(h)
+        h = self.conv_out(h)
+        return h
+
+    def get_last_layer(self):
+        return self.conv_out.weight
+
+
+class Encoder(nn.Module):
+    def __init__(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks,
+                 attn_resolutions, dropout=0.0, resamp_with_conv=True, in_channels,
+                 resolution, z_channels, double_z=True, use_linear_attn=False, attn_type="vanilla",
+                 **ignore_kwargs):
+        super().__init__()
+        if use_linear_attn: attn_type = "linear"
+        self.ch = ch
+        self.temb_ch = 0
+        self.num_resolutions = len(ch_mult)
+        self.num_res_blocks = num_res_blocks
+        self.resolution = resolution
+        self.in_channels = in_channels
+
+        # downsampling
+        self.conv_in = ops.Conv2d(in_channels,
+                                       self.ch,
+                                       kernel_size=3,
+                                       stride=1,
+                                       padding=1)
+
+        curr_res = resolution
+        in_ch_mult = (1,)+tuple(ch_mult)
+        self.in_ch_mult = in_ch_mult
+        self.down = nn.ModuleList()
+        for i_level in range(self.num_resolutions):
+            block = nn.ModuleList()
+            attn = nn.ModuleList()
+            block_in = ch*in_ch_mult[i_level]
+            block_out = ch*ch_mult[i_level]
+            for i_block in range(self.num_res_blocks):
+                block.append(ResnetBlock(in_channels=block_in,
+                                         out_channels=block_out,
+                                         temb_channels=self.temb_ch,
+                                         dropout=dropout))
+                block_in = block_out
+                if curr_res in attn_resolutions:
+                    attn.append(make_attn(block_in, attn_type=attn_type))
+            down = nn.Module()
+            down.block = block
+            down.attn = attn
+            if i_level != self.num_resolutions-1:
+                down.downsample = Downsample(block_in, resamp_with_conv)
+                curr_res = curr_res // 2
+            self.down.append(down)
+
+        # middle
+        self.mid = nn.Module()
+        self.mid.block_1 = ResnetBlock(in_channels=block_in,
+                                       out_channels=block_in,
+                                       temb_channels=self.temb_ch,
+                                       dropout=dropout)
+        self.mid.attn_1 = make_attn(block_in, attn_type=attn_type)
+        self.mid.block_2 = ResnetBlock(in_channels=block_in,
+                                       out_channels=block_in,
+                                       temb_channels=self.temb_ch,
+                                       dropout=dropout)
+
+        # end
+        self.norm_out = Normalize(block_in)
+        self.conv_out = ops.Conv2d(block_in,
+                                        2*z_channels if double_z else z_channels,
+                                        kernel_size=3,
+                                        stride=1,
+                                        padding=1)
+
+    def forward(self, x):
+        # timestep embedding
+        temb = None
+        # downsampling
+        h = self.conv_in(x)
+        for i_level in range(self.num_resolutions):
+            for i_block in range(self.num_res_blocks):
+                h = self.down[i_level].block[i_block](h, temb)
+                if len(self.down[i_level].attn) > 0:
+                    h = self.down[i_level].attn[i_block](h)
+            if i_level != self.num_resolutions-1:
+                h = self.down[i_level].downsample(h)
+
+        # middle
+        h = self.mid.block_1(h, temb)
+        h = self.mid.attn_1(h)
+        h = self.mid.block_2(h, temb)
+
+        # end
+        h = self.norm_out(h)
+        h = nonlinearity(h)
+        h = self.conv_out(h)
+        return h
+
+
+class Decoder(nn.Module):
+    def __init__(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks,
+                 attn_resolutions, dropout=0.0, resamp_with_conv=True, in_channels,
+                 resolution, z_channels, give_pre_end=False, tanh_out=False, use_linear_attn=False,
+                 conv_out_op=ops.Conv2d,
+                 resnet_op=ResnetBlock,
+                 attn_op=AttnBlock,
+                **ignorekwargs):
+        super().__init__()
+        if use_linear_attn: attn_type = "linear"
+        self.ch = ch
+        self.temb_ch = 0
+        self.num_resolutions = len(ch_mult)
+        self.num_res_blocks = num_res_blocks
+        self.resolution = resolution
+        self.in_channels = in_channels
+        self.give_pre_end = give_pre_end
+        self.tanh_out = tanh_out
+
+        # compute in_ch_mult, block_in and curr_res at lowest res
+        in_ch_mult = (1,)+tuple(ch_mult)
+        block_in = ch*ch_mult[self.num_resolutions-1]
+        curr_res = resolution // 2**(self.num_resolutions-1)
+        self.z_shape = (1,z_channels,curr_res,curr_res)
+        logging.debug("Working with z of shape {} = {} dimensions.".format(
+            self.z_shape, np.prod(self.z_shape)))
+
+        # z to block_in
+        self.conv_in = ops.Conv2d(z_channels,
+                                       block_in,
+                                       kernel_size=3,
+                                       stride=1,
+                                       padding=1)
+
+        # middle
+        self.mid = nn.Module()
+        self.mid.block_1 = resnet_op(in_channels=block_in,
+                                       out_channels=block_in,
+                                       temb_channels=self.temb_ch,
+                                       dropout=dropout)
+        self.mid.attn_1 = attn_op(block_in)
+        self.mid.block_2 = resnet_op(in_channels=block_in,
+                                       out_channels=block_in,
+                                       temb_channels=self.temb_ch,
+                                       dropout=dropout)
+
+        # upsampling
+        self.up = nn.ModuleList()
+        for i_level in reversed(range(self.num_resolutions)):
+            block = nn.ModuleList()
+            attn = nn.ModuleList()
+            block_out = ch*ch_mult[i_level]
+            for i_block in range(self.num_res_blocks+1):
+                block.append(resnet_op(in_channels=block_in,
+                                         out_channels=block_out,
+                                         temb_channels=self.temb_ch,
+                                         dropout=dropout))
+                block_in = block_out
+                if curr_res in attn_resolutions:
+                    attn.append(attn_op(block_in))
+            up = nn.Module()
+            up.block = block
+            up.attn = attn
+            if i_level != 0:
+                up.upsample = Upsample(block_in, resamp_with_conv)
+                curr_res = curr_res * 2
+            self.up.insert(0, up) # prepend to get consistent order
+
+        # end
+        self.norm_out = Normalize(block_in)
+        self.conv_out = conv_out_op(block_in,
+                                        out_ch,
+                                        kernel_size=3,
+                                        stride=1,
+                                        padding=1)
+
+    def forward(self, z, **kwargs):
+        #assert z.shape[1:] == self.z_shape[1:]
+        self.last_z_shape = z.shape
+
+        # timestep embedding
+        temb = None
+
+        # z to block_in
+        h = self.conv_in(z)
+
+        # middle
+        h = self.mid.block_1(h, temb, **kwargs)
+        h = self.mid.attn_1(h, **kwargs)
+        h = self.mid.block_2(h, temb, **kwargs)
+
+        # upsampling
+        for i_level in reversed(range(self.num_resolutions)):
+            for i_block in range(self.num_res_blocks+1):
+                h = self.up[i_level].block[i_block](h, temb, **kwargs)
+                if len(self.up[i_level].attn) > 0:
+                    h = self.up[i_level].attn[i_block](h, **kwargs)
+            if i_level != 0:
+                h = self.up[i_level].upsample(h)
+
+        # end
+        if self.give_pre_end:
+            return h
+
+        h = self.norm_out(h)
+        h = nonlinearity(h)
+        h = self.conv_out(h, **kwargs)
+        if self.tanh_out:
+            h = torch.tanh(h)
+        return h
diff --git a/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py b/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py
new file mode 100644
index 0000000000000000000000000000000000000000..6535e899ca99f9185a40d8b07b82420d6b3189f4
--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py
@@ -0,0 +1,892 @@
+from abc import abstractmethod
+
+import torch as th
+import torch.nn as nn
+import torch.nn.functional as F
+from einops import rearrange
+import logging
+
+from .util import (
+    checkpoint,
+    avg_pool_nd,
+    zero_module,
+    timestep_embedding,
+    AlphaBlender,
+)
+from ..attention import SpatialTransformer, SpatialVideoTransformer, default
+from comfy.ldm.util import exists
+import comfy.ops
+ops = comfy.ops.disable_weight_init
+
+class TimestepBlock(nn.Module):
+    """
+    Any module where forward() takes timestep embeddings as a second argument.
+    """
+
+    @abstractmethod
+    def forward(self, x, emb):
+        """
+        Apply the module to `x` given `emb` timestep embeddings.
+        """
+
+#This is needed because accelerate makes a copy of transformer_options which breaks "transformer_index"
+def forward_timestep_embed(ts, x, emb, context=None, transformer_options={}, output_shape=None, time_context=None, num_video_frames=None, image_only_indicator=None):
+    for layer in ts:
+        if isinstance(layer, VideoResBlock):
+            x = layer(x, emb, num_video_frames, image_only_indicator)
+        elif isinstance(layer, TimestepBlock):
+            x = layer(x, emb)
+        elif isinstance(layer, SpatialVideoTransformer):
+            x = layer(x, context, time_context, num_video_frames, image_only_indicator, transformer_options)
+            if "transformer_index" in transformer_options:
+                transformer_options["transformer_index"] += 1
+        elif isinstance(layer, SpatialTransformer):
+            x = layer(x, context, transformer_options)
+            if "transformer_index" in transformer_options:
+                transformer_options["transformer_index"] += 1
+        elif isinstance(layer, Upsample):
+            x = layer(x, output_shape=output_shape)
+        else:
+            x = layer(x)
+    return x
+
+class TimestepEmbedSequential(nn.Sequential, TimestepBlock):
+    """
+    A sequential module that passes timestep embeddings to the children that
+    support it as an extra input.
+    """
+
+    def forward(self, *args, **kwargs):
+        return forward_timestep_embed(self, *args, **kwargs)
+
+class Upsample(nn.Module):
+    """
+    An upsampling layer with an optional convolution.
+    :param channels: channels in the inputs and outputs.
+    :param use_conv: a bool determining if a convolution is applied.
+    :param dims: determines if the signal is 1D, 2D, or 3D. If 3D, then
+                 upsampling occurs in the inner-two dimensions.
+    """
+
+    def __init__(self, channels, use_conv, dims=2, out_channels=None, padding=1, dtype=None, device=None, operations=ops):
+        super().__init__()
+        self.channels = channels
+        self.out_channels = out_channels or channels
+        self.use_conv = use_conv
+        self.dims = dims
+        if use_conv:
+            self.conv = operations.conv_nd(dims, self.channels, self.out_channels, 3, padding=padding, dtype=dtype, device=device)
+
+    def forward(self, x, output_shape=None):
+        assert x.shape[1] == self.channels
+        if self.dims == 3:
+            shape = [x.shape[2], x.shape[3] * 2, x.shape[4] * 2]
+            if output_shape is not None:
+                shape[1] = output_shape[3]
+                shape[2] = output_shape[4]
+        else:
+            shape = [x.shape[2] * 2, x.shape[3] * 2]
+            if output_shape is not None:
+                shape[0] = output_shape[2]
+                shape[1] = output_shape[3]
+
+        x = F.interpolate(x, size=shape, mode="nearest")
+        if self.use_conv:
+            x = self.conv(x)
+        return x
+
+class Downsample(nn.Module):
+    """
+    A downsampling layer with an optional convolution.
+    :param channels: channels in the inputs and outputs.
+    :param use_conv: a bool determining if a convolution is applied.
+    :param dims: determines if the signal is 1D, 2D, or 3D. If 3D, then
+                 downsampling occurs in the inner-two dimensions.
+    """
+
+    def __init__(self, channels, use_conv, dims=2, out_channels=None, padding=1, dtype=None, device=None, operations=ops):
+        super().__init__()
+        self.channels = channels
+        self.out_channels = out_channels or channels
+        self.use_conv = use_conv
+        self.dims = dims
+        stride = 2 if dims != 3 else (1, 2, 2)
+        if use_conv:
+            self.op = operations.conv_nd(
+                dims, self.channels, self.out_channels, 3, stride=stride, padding=padding, dtype=dtype, device=device
+            )
+        else:
+            assert self.channels == self.out_channels
+            self.op = avg_pool_nd(dims, kernel_size=stride, stride=stride)
+
+    def forward(self, x):
+        assert x.shape[1] == self.channels
+        return self.op(x)
+
+
+class ResBlock(TimestepBlock):
+    """
+    A residual block that can optionally change the number of channels.
+    :param channels: the number of input channels.
+    :param emb_channels: the number of timestep embedding channels.
+    :param dropout: the rate of dropout.
+    :param out_channels: if specified, the number of out channels.
+    :param use_conv: if True and out_channels is specified, use a spatial
+        convolution instead of a smaller 1x1 convolution to change the
+        channels in the skip connection.
+    :param dims: determines if the signal is 1D, 2D, or 3D.
+    :param use_checkpoint: if True, use gradient checkpointing on this module.
+    :param up: if True, use this block for upsampling.
+    :param down: if True, use this block for downsampling.
+    """
+
+    def __init__(
+        self,
+        channels,
+        emb_channels,
+        dropout,
+        out_channels=None,
+        use_conv=False,
+        use_scale_shift_norm=False,
+        dims=2,
+        use_checkpoint=False,
+        up=False,
+        down=False,
+        kernel_size=3,
+        exchange_temb_dims=False,
+        skip_t_emb=False,
+        dtype=None,
+        device=None,
+        operations=ops
+    ):
+        super().__init__()
+        self.channels = channels
+        self.emb_channels = emb_channels
+        self.dropout = dropout
+        self.out_channels = out_channels or channels
+        self.use_conv = use_conv
+        self.use_checkpoint = use_checkpoint
+        self.use_scale_shift_norm = use_scale_shift_norm
+        self.exchange_temb_dims = exchange_temb_dims
+
+        if isinstance(kernel_size, list):
+            padding = [k // 2 for k in kernel_size]
+        else:
+            padding = kernel_size // 2
+
+        self.in_layers = nn.Sequential(
+            operations.GroupNorm(32, channels, dtype=dtype, device=device),
+            nn.SiLU(),
+            operations.conv_nd(dims, channels, self.out_channels, kernel_size, padding=padding, dtype=dtype, device=device),
+        )
+
+        self.updown = up or down
+
+        if up:
+            self.h_upd = Upsample(channels, False, dims, dtype=dtype, device=device)
+            self.x_upd = Upsample(channels, False, dims, dtype=dtype, device=device)
+        elif down:
+            self.h_upd = Downsample(channels, False, dims, dtype=dtype, device=device)
+            self.x_upd = Downsample(channels, False, dims, dtype=dtype, device=device)
+        else:
+            self.h_upd = self.x_upd = nn.Identity()
+
+        self.skip_t_emb = skip_t_emb
+        if self.skip_t_emb:
+            self.emb_layers = None
+            self.exchange_temb_dims = False
+        else:
+            self.emb_layers = nn.Sequential(
+                nn.SiLU(),
+                operations.Linear(
+                    emb_channels,
+                    2 * self.out_channels if use_scale_shift_norm else self.out_channels, dtype=dtype, device=device
+                ),
+            )
+        self.out_layers = nn.Sequential(
+            operations.GroupNorm(32, self.out_channels, dtype=dtype, device=device),
+            nn.SiLU(),
+            nn.Dropout(p=dropout),
+            operations.conv_nd(dims, self.out_channels, self.out_channels, kernel_size, padding=padding, dtype=dtype, device=device)
+            ,
+        )
+
+        if self.out_channels == channels:
+            self.skip_connection = nn.Identity()
+        elif use_conv:
+            self.skip_connection = operations.conv_nd(
+                dims, channels, self.out_channels, kernel_size, padding=padding, dtype=dtype, device=device
+            )
+        else:
+            self.skip_connection = operations.conv_nd(dims, channels, self.out_channels, 1, dtype=dtype, device=device)
+
+    def forward(self, x, emb):
+        """
+        Apply the block to a Tensor, conditioned on a timestep embedding.
+        :param x: an [N x C x ...] Tensor of features.
+        :param emb: an [N x emb_channels] Tensor of timestep embeddings.
+        :return: an [N x C x ...] Tensor of outputs.
+        """
+        return checkpoint(
+            self._forward, (x, emb), self.parameters(), self.use_checkpoint
+        )
+
+
+    def _forward(self, x, emb):
+        if self.updown:
+            in_rest, in_conv = self.in_layers[:-1], self.in_layers[-1]
+            h = in_rest(x)
+            h = self.h_upd(h)
+            x = self.x_upd(x)
+            h = in_conv(h)
+        else:
+            h = self.in_layers(x)
+
+        emb_out = None
+        if not self.skip_t_emb:
+            emb_out = self.emb_layers(emb).type(h.dtype)
+            while len(emb_out.shape) < len(h.shape):
+                emb_out = emb_out[..., None]
+        if self.use_scale_shift_norm:
+            out_norm, out_rest = self.out_layers[0], self.out_layers[1:]
+            h = out_norm(h)
+            if emb_out is not None:
+                scale, shift = th.chunk(emb_out, 2, dim=1)
+                h *= (1 + scale)
+                h += shift
+            h = out_rest(h)
+        else:
+            if emb_out is not None:
+                if self.exchange_temb_dims:
+                    emb_out = emb_out.movedim(1, 2)
+                h = h + emb_out
+            h = self.out_layers(h)
+        return self.skip_connection(x) + h
+
+
+class VideoResBlock(ResBlock):
+    def __init__(
+        self,
+        channels: int,
+        emb_channels: int,
+        dropout: float,
+        video_kernel_size=3,
+        merge_strategy: str = "fixed",
+        merge_factor: float = 0.5,
+        out_channels=None,
+        use_conv: bool = False,
+        use_scale_shift_norm: bool = False,
+        dims: int = 2,
+        use_checkpoint: bool = False,
+        up: bool = False,
+        down: bool = False,
+        dtype=None,
+        device=None,
+        operations=ops
+    ):
+        super().__init__(
+            channels,
+            emb_channels,
+            dropout,
+            out_channels=out_channels,
+            use_conv=use_conv,
+            use_scale_shift_norm=use_scale_shift_norm,
+            dims=dims,
+            use_checkpoint=use_checkpoint,
+            up=up,
+            down=down,
+            dtype=dtype,
+            device=device,
+            operations=operations
+        )
+
+        self.time_stack = ResBlock(
+            default(out_channels, channels),
+            emb_channels,
+            dropout=dropout,
+            dims=3,
+            out_channels=default(out_channels, channels),
+            use_scale_shift_norm=False,
+            use_conv=False,
+            up=False,
+            down=False,
+            kernel_size=video_kernel_size,
+            use_checkpoint=use_checkpoint,
+            exchange_temb_dims=True,
+            dtype=dtype,
+            device=device,
+            operations=operations
+        )
+        self.time_mixer = AlphaBlender(
+            alpha=merge_factor,
+            merge_strategy=merge_strategy,
+            rearrange_pattern="b t -> b 1 t 1 1",
+        )
+
+    def forward(
+        self,
+        x: th.Tensor,
+        emb: th.Tensor,
+        num_video_frames: int,
+        image_only_indicator = None,
+    ) -> th.Tensor:
+        x = super().forward(x, emb)
+
+        x_mix = rearrange(x, "(b t) c h w -> b c t h w", t=num_video_frames)
+        x = rearrange(x, "(b t) c h w -> b c t h w", t=num_video_frames)
+
+        x = self.time_stack(
+            x, rearrange(emb, "(b t) ... -> b t ...", t=num_video_frames)
+        )
+        x = self.time_mixer(
+            x_spatial=x_mix, x_temporal=x, image_only_indicator=image_only_indicator
+        )
+        x = rearrange(x, "b c t h w -> (b t) c h w")
+        return x
+
+
+class Timestep(nn.Module):
+    def __init__(self, dim):
+        super().__init__()
+        self.dim = dim
+
+    def forward(self, t):
+        return timestep_embedding(t, self.dim)
+
+def apply_control(h, control, name):
+    if control is not None and name in control and len(control[name]) > 0:
+        ctrl = control[name].pop()
+        if ctrl is not None:
+            try:
+                h += ctrl
+            except:
+                logging.warning("warning control could not be applied {} {}".format(h.shape, ctrl.shape))
+    return h
+
+class UNetModel(nn.Module):
+    """
+    The full UNet model with attention and timestep embedding.
+    :param in_channels: channels in the input Tensor.
+    :param model_channels: base channel count for the model.
+    :param out_channels: channels in the output Tensor.
+    :param num_res_blocks: number of residual blocks per downsample.
+    :param dropout: the dropout probability.
+    :param channel_mult: channel multiplier for each level of the UNet.
+    :param conv_resample: if True, use learned convolutions for upsampling and
+        downsampling.
+    :param dims: determines if the signal is 1D, 2D, or 3D.
+    :param num_classes: if specified (as an int), then this model will be
+        class-conditional with `num_classes` classes.
+    :param use_checkpoint: use gradient checkpointing to reduce memory usage.
+    :param num_heads: the number of attention heads in each attention layer.
+    :param num_heads_channels: if specified, ignore num_heads and instead use
+                               a fixed channel width per attention head.
+    :param num_heads_upsample: works with num_heads to set a different number
+                               of heads for upsampling. Deprecated.
+    :param use_scale_shift_norm: use a FiLM-like conditioning mechanism.
+    :param resblock_updown: use residual blocks for up/downsampling.
+    :param use_new_attention_order: use a different attention pattern for potentially
+                                    increased efficiency.
+    """
+
+    def __init__(
+        self,
+        image_size,
+        in_channels,
+        model_channels,
+        out_channels,
+        num_res_blocks,
+        dropout=0,
+        channel_mult=(1, 2, 4, 8),
+        conv_resample=True,
+        dims=2,
+        num_classes=None,
+        use_checkpoint=False,
+        dtype=th.float32,
+        num_heads=-1,
+        num_head_channels=-1,
+        num_heads_upsample=-1,
+        use_scale_shift_norm=False,
+        resblock_updown=False,
+        use_new_attention_order=False,
+        use_spatial_transformer=False,    # custom transformer support
+        transformer_depth=1,              # custom transformer support
+        context_dim=None,                 # custom transformer support
+        n_embed=None,                     # custom support for prediction of discrete ids into codebook of first stage vq model
+        legacy=True,
+        disable_self_attentions=None,
+        num_attention_blocks=None,
+        disable_middle_self_attn=False,
+        use_linear_in_transformer=False,
+        adm_in_channels=None,
+        transformer_depth_middle=None,
+        transformer_depth_output=None,
+        use_temporal_resblock=False,
+        use_temporal_attention=False,
+        time_context_dim=None,
+        extra_ff_mix_layer=False,
+        use_spatial_context=False,
+        merge_strategy=None,
+        merge_factor=0.0,
+        video_kernel_size=None,
+        disable_temporal_crossattention=False,
+        max_ddpm_temb_period=10000,
+        attn_precision=None,
+        device=None,
+        operations=ops,
+    ):
+        super().__init__()
+
+        if context_dim is not None:
+            assert use_spatial_transformer, 'Fool!! You forgot to use the spatial transformer for your cross-attention conditioning...'
+            # from omegaconf.listconfig import ListConfig
+            # if type(context_dim) == ListConfig:
+            #     context_dim = list(context_dim)
+
+        if num_heads_upsample == -1:
+            num_heads_upsample = num_heads
+
+        if num_heads == -1:
+            assert num_head_channels != -1, 'Either num_heads or num_head_channels has to be set'
+
+        if num_head_channels == -1:
+            assert num_heads != -1, 'Either num_heads or num_head_channels has to be set'
+
+        self.in_channels = in_channels
+        self.model_channels = model_channels
+        self.out_channels = out_channels
+
+        if isinstance(num_res_blocks, int):
+            self.num_res_blocks = len(channel_mult) * [num_res_blocks]
+        else:
+            if len(num_res_blocks) != len(channel_mult):
+                raise ValueError("provide num_res_blocks either as an int (globally constant) or "
+                                 "as a list/tuple (per-level) with the same length as channel_mult")
+            self.num_res_blocks = num_res_blocks
+
+        if disable_self_attentions is not None:
+            # should be a list of booleans, indicating whether to disable self-attention in TransformerBlocks or not
+            assert len(disable_self_attentions) == len(channel_mult)
+        if num_attention_blocks is not None:
+            assert len(num_attention_blocks) == len(self.num_res_blocks)
+
+        transformer_depth = transformer_depth[:]
+        transformer_depth_output = transformer_depth_output[:]
+
+        self.dropout = dropout
+        self.channel_mult = channel_mult
+        self.conv_resample = conv_resample
+        self.num_classes = num_classes
+        self.use_checkpoint = use_checkpoint
+        self.dtype = dtype
+        self.num_heads = num_heads
+        self.num_head_channels = num_head_channels
+        self.num_heads_upsample = num_heads_upsample
+        self.use_temporal_resblocks = use_temporal_resblock
+        self.predict_codebook_ids = n_embed is not None
+
+        self.default_num_video_frames = None
+
+        time_embed_dim = model_channels * 4
+        self.time_embed = nn.Sequential(
+            operations.Linear(model_channels, time_embed_dim, dtype=self.dtype, device=device),
+            nn.SiLU(),
+            operations.Linear(time_embed_dim, time_embed_dim, dtype=self.dtype, device=device),
+        )
+
+        if self.num_classes is not None:
+            if isinstance(self.num_classes, int):
+                self.label_emb = nn.Embedding(num_classes, time_embed_dim, dtype=self.dtype, device=device)
+            elif self.num_classes == "continuous":
+                logging.debug("setting up linear c_adm embedding layer")
+                self.label_emb = nn.Linear(1, time_embed_dim)
+            elif self.num_classes == "sequential":
+                assert adm_in_channels is not None
+                self.label_emb = nn.Sequential(
+                    nn.Sequential(
+                        operations.Linear(adm_in_channels, time_embed_dim, dtype=self.dtype, device=device),
+                        nn.SiLU(),
+                        operations.Linear(time_embed_dim, time_embed_dim, dtype=self.dtype, device=device),
+                    )
+                )
+            else:
+                raise ValueError()
+
+        self.input_blocks = nn.ModuleList(
+            [
+                TimestepEmbedSequential(
+                    operations.conv_nd(dims, in_channels, model_channels, 3, padding=1, dtype=self.dtype, device=device)
+                )
+            ]
+        )
+        self._feature_size = model_channels
+        input_block_chans = [model_channels]
+        ch = model_channels
+        ds = 1
+
+        def get_attention_layer(
+            ch,
+            num_heads,
+            dim_head,
+            depth=1,
+            context_dim=None,
+            use_checkpoint=False,
+            disable_self_attn=False,
+        ):
+            if use_temporal_attention:
+                return SpatialVideoTransformer(
+                    ch,
+                    num_heads,
+                    dim_head,
+                    depth=depth,
+                    context_dim=context_dim,
+                    time_context_dim=time_context_dim,
+                    dropout=dropout,
+                    ff_in=extra_ff_mix_layer,
+                    use_spatial_context=use_spatial_context,
+                    merge_strategy=merge_strategy,
+                    merge_factor=merge_factor,
+                    checkpoint=use_checkpoint,
+                    use_linear=use_linear_in_transformer,
+                    disable_self_attn=disable_self_attn,
+                    disable_temporal_crossattention=disable_temporal_crossattention,
+                    max_time_embed_period=max_ddpm_temb_period,
+                    attn_precision=attn_precision,
+                    dtype=self.dtype, device=device, operations=operations
+                )
+            else:
+                return SpatialTransformer(
+                                ch, num_heads, dim_head, depth=depth, context_dim=context_dim,
+                                disable_self_attn=disable_self_attn, use_linear=use_linear_in_transformer,
+                                use_checkpoint=use_checkpoint, attn_precision=attn_precision, dtype=self.dtype, device=device, operations=operations
+                            )
+
+        def get_resblock(
+            merge_factor,
+            merge_strategy,
+            video_kernel_size,
+            ch,
+            time_embed_dim,
+            dropout,
+            out_channels,
+            dims,
+            use_checkpoint,
+            use_scale_shift_norm,
+            down=False,
+            up=False,
+            dtype=None,
+            device=None,
+            operations=ops
+        ):
+            if self.use_temporal_resblocks:
+                return VideoResBlock(
+                    merge_factor=merge_factor,
+                    merge_strategy=merge_strategy,
+                    video_kernel_size=video_kernel_size,
+                    channels=ch,
+                    emb_channels=time_embed_dim,
+                    dropout=dropout,
+                    out_channels=out_channels,
+                    dims=dims,
+                    use_checkpoint=use_checkpoint,
+                    use_scale_shift_norm=use_scale_shift_norm,
+                    down=down,
+                    up=up,
+                    dtype=dtype,
+                    device=device,
+                    operations=operations
+                )
+            else:
+                return ResBlock(
+                    channels=ch,
+                    emb_channels=time_embed_dim,
+                    dropout=dropout,
+                    out_channels=out_channels,
+                    use_checkpoint=use_checkpoint,
+                    dims=dims,
+                    use_scale_shift_norm=use_scale_shift_norm,
+                    down=down,
+                    up=up,
+                    dtype=dtype,
+                    device=device,
+                    operations=operations
+                )
+
+        for level, mult in enumerate(channel_mult):
+            for nr in range(self.num_res_blocks[level]):
+                layers = [
+                    get_resblock(
+                        merge_factor=merge_factor,
+                        merge_strategy=merge_strategy,
+                        video_kernel_size=video_kernel_size,
+                        ch=ch,
+                        time_embed_dim=time_embed_dim,
+                        dropout=dropout,
+                        out_channels=mult * model_channels,
+                        dims=dims,
+                        use_checkpoint=use_checkpoint,
+                        use_scale_shift_norm=use_scale_shift_norm,
+                        dtype=self.dtype,
+                        device=device,
+                        operations=operations,
+                    )
+                ]
+                ch = mult * model_channels
+                num_transformers = transformer_depth.pop(0)
+                if num_transformers > 0:
+                    if num_head_channels == -1:
+                        dim_head = ch // num_heads
+                    else:
+                        num_heads = ch // num_head_channels
+                        dim_head = num_head_channels
+                    if legacy:
+                        #num_heads = 1
+                        dim_head = ch // num_heads if use_spatial_transformer else num_head_channels
+                    if exists(disable_self_attentions):
+                        disabled_sa = disable_self_attentions[level]
+                    else:
+                        disabled_sa = False
+
+                    if not exists(num_attention_blocks) or nr < num_attention_blocks[level]:
+                        layers.append(get_attention_layer(
+                                ch, num_heads, dim_head, depth=num_transformers, context_dim=context_dim,
+                                disable_self_attn=disabled_sa, use_checkpoint=use_checkpoint)
+                        )
+                self.input_blocks.append(TimestepEmbedSequential(*layers))
+                self._feature_size += ch
+                input_block_chans.append(ch)
+            if level != len(channel_mult) - 1:
+                out_ch = ch
+                self.input_blocks.append(
+                    TimestepEmbedSequential(
+                        get_resblock(
+                            merge_factor=merge_factor,
+                            merge_strategy=merge_strategy,
+                            video_kernel_size=video_kernel_size,
+                            ch=ch,
+                            time_embed_dim=time_embed_dim,
+                            dropout=dropout,
+                            out_channels=out_ch,
+                            dims=dims,
+                            use_checkpoint=use_checkpoint,
+                            use_scale_shift_norm=use_scale_shift_norm,
+                            down=True,
+                            dtype=self.dtype,
+                            device=device,
+                            operations=operations
+                        )
+                        if resblock_updown
+                        else Downsample(
+                            ch, conv_resample, dims=dims, out_channels=out_ch, dtype=self.dtype, device=device, operations=operations
+                        )
+                    )
+                )
+                ch = out_ch
+                input_block_chans.append(ch)
+                ds *= 2
+                self._feature_size += ch
+
+        if num_head_channels == -1:
+            dim_head = ch // num_heads
+        else:
+            num_heads = ch // num_head_channels
+            dim_head = num_head_channels
+        if legacy:
+            #num_heads = 1
+            dim_head = ch // num_heads if use_spatial_transformer else num_head_channels
+        mid_block = [
+            get_resblock(
+                merge_factor=merge_factor,
+                merge_strategy=merge_strategy,
+                video_kernel_size=video_kernel_size,
+                ch=ch,
+                time_embed_dim=time_embed_dim,
+                dropout=dropout,
+                out_channels=None,
+                dims=dims,
+                use_checkpoint=use_checkpoint,
+                use_scale_shift_norm=use_scale_shift_norm,
+                dtype=self.dtype,
+                device=device,
+                operations=operations
+            )]
+
+        self.middle_block = None
+        if transformer_depth_middle >= -1:
+            if transformer_depth_middle >= 0:
+                mid_block += [get_attention_layer(  # always uses a self-attn
+                                ch, num_heads, dim_head, depth=transformer_depth_middle, context_dim=context_dim,
+                                disable_self_attn=disable_middle_self_attn, use_checkpoint=use_checkpoint
+                            ),
+                get_resblock(
+                    merge_factor=merge_factor,
+                    merge_strategy=merge_strategy,
+                    video_kernel_size=video_kernel_size,
+                    ch=ch,
+                    time_embed_dim=time_embed_dim,
+                    dropout=dropout,
+                    out_channels=None,
+                    dims=dims,
+                    use_checkpoint=use_checkpoint,
+                    use_scale_shift_norm=use_scale_shift_norm,
+                    dtype=self.dtype,
+                    device=device,
+                    operations=operations
+                )]
+            self.middle_block = TimestepEmbedSequential(*mid_block)
+        self._feature_size += ch
+
+        self.output_blocks = nn.ModuleList([])
+        for level, mult in list(enumerate(channel_mult))[::-1]:
+            for i in range(self.num_res_blocks[level] + 1):
+                ich = input_block_chans.pop()
+                layers = [
+                    get_resblock(
+                        merge_factor=merge_factor,
+                        merge_strategy=merge_strategy,
+                        video_kernel_size=video_kernel_size,
+                        ch=ch + ich,
+                        time_embed_dim=time_embed_dim,
+                        dropout=dropout,
+                        out_channels=model_channels * mult,
+                        dims=dims,
+                        use_checkpoint=use_checkpoint,
+                        use_scale_shift_norm=use_scale_shift_norm,
+                        dtype=self.dtype,
+                        device=device,
+                        operations=operations
+                    )
+                ]
+                ch = model_channels * mult
+                num_transformers = transformer_depth_output.pop()
+                if num_transformers > 0:
+                    if num_head_channels == -1:
+                        dim_head = ch // num_heads
+                    else:
+                        num_heads = ch // num_head_channels
+                        dim_head = num_head_channels
+                    if legacy:
+                        #num_heads = 1
+                        dim_head = ch // num_heads if use_spatial_transformer else num_head_channels
+                    if exists(disable_self_attentions):
+                        disabled_sa = disable_self_attentions[level]
+                    else:
+                        disabled_sa = False
+
+                    if not exists(num_attention_blocks) or i < num_attention_blocks[level]:
+                        layers.append(
+                            get_attention_layer(
+                                ch, num_heads, dim_head, depth=num_transformers, context_dim=context_dim,
+                                disable_self_attn=disabled_sa, use_checkpoint=use_checkpoint
+                            )
+                        )
+                if level and i == self.num_res_blocks[level]:
+                    out_ch = ch
+                    layers.append(
+                        get_resblock(
+                            merge_factor=merge_factor,
+                            merge_strategy=merge_strategy,
+                            video_kernel_size=video_kernel_size,
+                            ch=ch,
+                            time_embed_dim=time_embed_dim,
+                            dropout=dropout,
+                            out_channels=out_ch,
+                            dims=dims,
+                            use_checkpoint=use_checkpoint,
+                            use_scale_shift_norm=use_scale_shift_norm,
+                            up=True,
+                            dtype=self.dtype,
+                            device=device,
+                            operations=operations
+                        )
+                        if resblock_updown
+                        else Upsample(ch, conv_resample, dims=dims, out_channels=out_ch, dtype=self.dtype, device=device, operations=operations)
+                    )
+                    ds //= 2
+                self.output_blocks.append(TimestepEmbedSequential(*layers))
+                self._feature_size += ch
+
+        self.out = nn.Sequential(
+            operations.GroupNorm(32, ch, dtype=self.dtype, device=device),
+            nn.SiLU(),
+            operations.conv_nd(dims, model_channels, out_channels, 3, padding=1, dtype=self.dtype, device=device),
+        )
+        if self.predict_codebook_ids:
+            self.id_predictor = nn.Sequential(
+            operations.GroupNorm(32, ch, dtype=self.dtype, device=device),
+            operations.conv_nd(dims, model_channels, n_embed, 1, dtype=self.dtype, device=device),
+            #nn.LogSoftmax(dim=1)  # change to cross_entropy and produce non-normalized logits
+        )
+
+    def forward(self, x, timesteps=None, context=None, y=None, control=None, transformer_options={}, **kwargs):
+        """
+        Apply the model to an input batch.
+        :param x: an [N x C x ...] Tensor of inputs.
+        :param timesteps: a 1-D batch of timesteps.
+        :param context: conditioning plugged in via crossattn
+        :param y: an [N] Tensor of labels, if class-conditional.
+        :return: an [N x C x ...] Tensor of outputs.
+        """
+        transformer_options["original_shape"] = list(x.shape)
+        transformer_options["transformer_index"] = 0
+        transformer_patches = transformer_options.get("patches", {})
+
+        num_video_frames = kwargs.get("num_video_frames", self.default_num_video_frames)
+        image_only_indicator = kwargs.get("image_only_indicator", None)
+        time_context = kwargs.get("time_context", None)
+
+        assert (y is not None) == (
+            self.num_classes is not None
+        ), "must specify y if and only if the model is class-conditional"
+        hs = []
+        t_emb = timestep_embedding(timesteps, self.model_channels, repeat_only=False).to(x.dtype)
+        emb = self.time_embed(t_emb)
+
+        if self.num_classes is not None:
+            assert y.shape[0] == x.shape[0]
+            emb = emb + self.label_emb(y)
+
+        h = x
+        for id, module in enumerate(self.input_blocks):
+            transformer_options["block"] = ("input", id)
+            h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
+            h = apply_control(h, control, 'input')
+            if "input_block_patch" in transformer_patches:
+                patch = transformer_patches["input_block_patch"]
+                for p in patch:
+                    h = p(h, transformer_options)
+
+            hs.append(h)
+            if "input_block_patch_after_skip" in transformer_patches:
+                patch = transformer_patches["input_block_patch_after_skip"]
+                for p in patch:
+                    h = p(h, transformer_options)
+
+        transformer_options["block"] = ("middle", 0)
+        if self.middle_block is not None:
+            h = forward_timestep_embed(self.middle_block, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
+        h = apply_control(h, control, 'middle')
+
+
+        for id, module in enumerate(self.output_blocks):
+            transformer_options["block"] = ("output", id)
+            hsp = hs.pop()
+            hsp = apply_control(hsp, control, 'output')
+
+            if "output_block_patch" in transformer_patches:
+                patch = transformer_patches["output_block_patch"]
+                for p in patch:
+                    h, hsp = p(h, hsp, transformer_options)
+
+            h = th.cat([h, hsp], dim=1)
+            del hsp
+            if len(hs) > 0:
+                output_shape = hs[-1].shape
+            else:
+                output_shape = None
+            h = forward_timestep_embed(module, h, emb, context, transformer_options, output_shape, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
+        h = h.type(x.dtype)
+        if self.predict_codebook_ids:
+            return self.id_predictor(h)
+        else:
+            return self.out(h)
diff --git a/ComfyUI/comfy/ldm/modules/diffusionmodules/upscaling.py b/ComfyUI/comfy/ldm/modules/diffusionmodules/upscaling.py
new file mode 100644
index 0000000000000000000000000000000000000000..f5ac7c2f9138d6d34cda735d2201225d46831154
--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/diffusionmodules/upscaling.py
@@ -0,0 +1,85 @@
+import torch
+import torch.nn as nn
+import numpy as np
+from functools import partial
+
+from .util import extract_into_tensor, make_beta_schedule
+from comfy.ldm.util import default
+
+
+class AbstractLowScaleModel(nn.Module):
+    # for concatenating a downsampled image to the latent representation
+    def __init__(self, noise_schedule_config=None):
+        super(AbstractLowScaleModel, self).__init__()
+        if noise_schedule_config is not None:
+            self.register_schedule(**noise_schedule_config)
+
+    def register_schedule(self, beta_schedule="linear", timesteps=1000,
+                          linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3):
+        betas = make_beta_schedule(beta_schedule, timesteps, linear_start=linear_start, linear_end=linear_end,
+                                   cosine_s=cosine_s)
+        alphas = 1. - betas
+        alphas_cumprod = np.cumprod(alphas, axis=0)
+        alphas_cumprod_prev = np.append(1., alphas_cumprod[:-1])
+
+        timesteps, = betas.shape
+        self.num_timesteps = int(timesteps)
+        self.linear_start = linear_start
+        self.linear_end = linear_end
+        assert alphas_cumprod.shape[0] == self.num_timesteps, 'alphas have to be defined for each timestep'
+
+        to_torch = partial(torch.tensor, dtype=torch.float32)
+
+        self.register_buffer('betas', to_torch(betas))
+        self.register_buffer('alphas_cumprod', to_torch(alphas_cumprod))
+        self.register_buffer('alphas_cumprod_prev', to_torch(alphas_cumprod_prev))
+
+        # calculations for diffusion q(x_t | x_{t-1}) and others
+        self.register_buffer('sqrt_alphas_cumprod', to_torch(np.sqrt(alphas_cumprod)))
+        self.register_buffer('sqrt_one_minus_alphas_cumprod', to_torch(np.sqrt(1. - alphas_cumprod)))
+        self.register_buffer('log_one_minus_alphas_cumprod', to_torch(np.log(1. - alphas_cumprod)))
+        self.register_buffer('sqrt_recip_alphas_cumprod', to_torch(np.sqrt(1. / alphas_cumprod)))
+        self.register_buffer('sqrt_recipm1_alphas_cumprod', to_torch(np.sqrt(1. / alphas_cumprod - 1)))
+
+    def q_sample(self, x_start, t, noise=None, seed=None):
+        if noise is None:
+            if seed is None:
+                noise = torch.randn_like(x_start)
+            else:
+                noise = torch.randn(x_start.size(), dtype=x_start.dtype, layout=x_start.layout, generator=torch.manual_seed(seed)).to(x_start.device)
+        return (extract_into_tensor(self.sqrt_alphas_cumprod.to(x_start.device), t, x_start.shape) * x_start +
+                extract_into_tensor(self.sqrt_one_minus_alphas_cumprod.to(x_start.device), t, x_start.shape) * noise)
+
+    def forward(self, x):
+        return x, None
+
+    def decode(self, x):
+        return x
+
+
+class SimpleImageConcat(AbstractLowScaleModel):
+    # no noise level conditioning
+    def __init__(self):
+        super(SimpleImageConcat, self).__init__(noise_schedule_config=None)
+        self.max_noise_level = 0
+
+    def forward(self, x):
+        # fix to constant noise level
+        return x, torch.zeros(x.shape[0], device=x.device).long()
+
+
+class ImageConcatWithNoiseAugmentation(AbstractLowScaleModel):
+    def __init__(self, noise_schedule_config, max_noise_level=1000, to_cuda=False):
+        super().__init__(noise_schedule_config=noise_schedule_config)
+        self.max_noise_level = max_noise_level
+
+    def forward(self, x, noise_level=None, seed=None):
+        if noise_level is None:
+            noise_level = torch.randint(0, self.max_noise_level, (x.shape[0],), device=x.device).long()
+        else:
+            assert isinstance(noise_level, torch.Tensor)
+        z = self.q_sample(x, noise_level, seed=seed)
+        return z, noise_level
+
+
+
diff --git a/ComfyUI/comfy/ldm/modules/diffusionmodules/util.py b/ComfyUI/comfy/ldm/modules/diffusionmodules/util.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce14ad5e18cf1c8f821878f395cc1bab50fad476
--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/diffusionmodules/util.py
@@ -0,0 +1,306 @@
+# adopted from
+# https://github.com/openai/improved-diffusion/blob/main/improved_diffusion/gaussian_diffusion.py
+# and
+# https://github.com/lucidrains/denoising-diffusion-pytorch/blob/7706bdfc6f527f58d33f84b7b522e61e6e3164b3/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
+# and
+# https://github.com/openai/guided-diffusion/blob/0ba878e517b276c45d1195eb29f6f5f72659a05b/guided_diffusion/nn.py
+#
+# thanks!
+
+
+import os
+import math
+import torch
+import torch.nn as nn
+import numpy as np
+from einops import repeat, rearrange
+
+from comfy.ldm.util import instantiate_from_config
+
+class AlphaBlender(nn.Module):
+    strategies = ["learned", "fixed", "learned_with_images"]
+
+    def __init__(
+        self,
+        alpha: float,
+        merge_strategy: str = "learned_with_images",
+        rearrange_pattern: str = "b t -> (b t) 1 1",
+    ):
+        super().__init__()
+        self.merge_strategy = merge_strategy
+        self.rearrange_pattern = rearrange_pattern
+
+        assert (
+            merge_strategy in self.strategies
+        ), f"merge_strategy needs to be in {self.strategies}"
+
+        if self.merge_strategy == "fixed":
+            self.register_buffer("mix_factor", torch.Tensor([alpha]))
+        elif (
+            self.merge_strategy == "learned"
+            or self.merge_strategy == "learned_with_images"
+        ):
+            self.register_parameter(
+                "mix_factor", torch.nn.Parameter(torch.Tensor([alpha]))
+            )
+        else:
+            raise ValueError(f"unknown merge strategy {self.merge_strategy}")
+
+    def get_alpha(self, image_only_indicator: torch.Tensor, device) -> torch.Tensor:
+        # skip_time_mix = rearrange(repeat(skip_time_mix, 'b -> (b t) () () ()', t=t), '(b t) 1 ... -> b 1 t ...', t=t)
+        if self.merge_strategy == "fixed":
+            # make shape compatible
+            # alpha = repeat(self.mix_factor, '1 -> b () t  () ()', t=t, b=bs)
+            alpha = self.mix_factor.to(device)
+        elif self.merge_strategy == "learned":
+            alpha = torch.sigmoid(self.mix_factor.to(device))
+            # make shape compatible
+            # alpha = repeat(alpha, '1 -> s () ()', s = t * bs)
+        elif self.merge_strategy == "learned_with_images":
+            if image_only_indicator is None:
+                alpha = rearrange(torch.sigmoid(self.mix_factor.to(device)), "... -> ... 1")
+            else:
+                alpha = torch.where(
+                    image_only_indicator.bool(),
+                    torch.ones(1, 1, device=image_only_indicator.device),
+                    rearrange(torch.sigmoid(self.mix_factor.to(image_only_indicator.device)), "... -> ... 1"),
+                )
+            alpha = rearrange(alpha, self.rearrange_pattern)
+            # make shape compatible
+            # alpha = repeat(alpha, '1 -> s () ()', s = t * bs)
+        else:
+            raise NotImplementedError()
+        return alpha
+
+    def forward(
+        self,
+        x_spatial,
+        x_temporal,
+        image_only_indicator=None,
+    ) -> torch.Tensor:
+        alpha = self.get_alpha(image_only_indicator, x_spatial.device)
+        x = (
+            alpha.to(x_spatial.dtype) * x_spatial
+            + (1.0 - alpha).to(x_spatial.dtype) * x_temporal
+        )
+        return x
+
+
+def make_beta_schedule(schedule, n_timestep, linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3):
+    if schedule == "linear":
+        betas = (
+                torch.linspace(linear_start ** 0.5, linear_end ** 0.5, n_timestep, dtype=torch.float64) ** 2
+        )
+
+    elif schedule == "cosine":
+        timesteps = (
+                torch.arange(n_timestep + 1, dtype=torch.float64) / n_timestep + cosine_s
+        )
+        alphas = timesteps / (1 + cosine_s) * np.pi / 2
+        alphas = torch.cos(alphas).pow(2)
+        alphas = alphas / alphas[0]
+        betas = 1 - alphas[1:] / alphas[:-1]
+        betas = torch.clamp(betas, min=0, max=0.999)
+
+    elif schedule == "squaredcos_cap_v2":  # used for karlo prior
+        # return early
+        return betas_for_alpha_bar(
+            n_timestep,
+            lambda t: math.cos((t + 0.008) / 1.008 * math.pi / 2) ** 2,
+        )
+
+    elif schedule == "sqrt_linear":
+        betas = torch.linspace(linear_start, linear_end, n_timestep, dtype=torch.float64)
+    elif schedule == "sqrt":
+        betas = torch.linspace(linear_start, linear_end, n_timestep, dtype=torch.float64) ** 0.5
+    else:
+        raise ValueError(f"schedule '{schedule}' unknown.")
+    return betas
+
+
+def make_ddim_timesteps(ddim_discr_method, num_ddim_timesteps, num_ddpm_timesteps, verbose=True):
+    if ddim_discr_method == 'uniform':
+        c = num_ddpm_timesteps // num_ddim_timesteps
+        ddim_timesteps = np.asarray(list(range(0, num_ddpm_timesteps, c)))
+    elif ddim_discr_method == 'quad':
+        ddim_timesteps = ((np.linspace(0, np.sqrt(num_ddpm_timesteps * .8), num_ddim_timesteps)) ** 2).astype(int)
+    else:
+        raise NotImplementedError(f'There is no ddim discretization method called "{ddim_discr_method}"')
+
+    # assert ddim_timesteps.shape[0] == num_ddim_timesteps
+    # add one to get the final alpha values right (the ones from first scale to data during sampling)
+    steps_out = ddim_timesteps + 1
+    if verbose:
+        print(f'Selected timesteps for ddim sampler: {steps_out}')
+    return steps_out
+
+
+def make_ddim_sampling_parameters(alphacums, ddim_timesteps, eta, verbose=True):
+    # select alphas for computing the variance schedule
+    alphas = alphacums[ddim_timesteps]
+    alphas_prev = np.asarray([alphacums[0]] + alphacums[ddim_timesteps[:-1]].tolist())
+
+    # according the the formula provided in https://arxiv.org/abs/2010.02502
+    sigmas = eta * np.sqrt((1 - alphas_prev) / (1 - alphas) * (1 - alphas / alphas_prev))
+    if verbose:
+        print(f'Selected alphas for ddim sampler: a_t: {alphas}; a_(t-1): {alphas_prev}')
+        print(f'For the chosen value of eta, which is {eta}, '
+              f'this results in the following sigma_t schedule for ddim sampler {sigmas}')
+    return sigmas, alphas, alphas_prev
+
+
+def betas_for_alpha_bar(num_diffusion_timesteps, alpha_bar, max_beta=0.999):
+    """
+    Create a beta schedule that discretizes the given alpha_t_bar function,
+    which defines the cumulative product of (1-beta) over time from t = [0,1].
+    :param num_diffusion_timesteps: the number of betas to produce.
+    :param alpha_bar: a lambda that takes an argument t from 0 to 1 and
+                      produces the cumulative product of (1-beta) up to that
+                      part of the diffusion process.
+    :param max_beta: the maximum beta to use; use values lower than 1 to
+                     prevent singularities.
+    """
+    betas = []
+    for i in range(num_diffusion_timesteps):
+        t1 = i / num_diffusion_timesteps
+        t2 = (i + 1) / num_diffusion_timesteps
+        betas.append(min(1 - alpha_bar(t2) / alpha_bar(t1), max_beta))
+    return np.array(betas)
+
+
+def extract_into_tensor(a, t, x_shape):
+    b, *_ = t.shape
+    out = a.gather(-1, t)
+    return out.reshape(b, *((1,) * (len(x_shape) - 1)))
+
+
+def checkpoint(func, inputs, params, flag):
+    """
+    Evaluate a function without caching intermediate activations, allowing for
+    reduced memory at the expense of extra compute in the backward pass.
+    :param func: the function to evaluate.
+    :param inputs: the argument sequence to pass to `func`.
+    :param params: a sequence of parameters `func` depends on but does not
+                   explicitly take as arguments.
+    :param flag: if False, disable gradient checkpointing.
+    """
+    if flag:
+        args = tuple(inputs) + tuple(params)
+        return CheckpointFunction.apply(func, len(inputs), *args)
+    else:
+        return func(*inputs)
+
+
+class CheckpointFunction(torch.autograd.Function):
+    @staticmethod
+    def forward(ctx, run_function, length, *args):
+        ctx.run_function = run_function
+        ctx.input_tensors = list(args[:length])
+        ctx.input_params = list(args[length:])
+        ctx.gpu_autocast_kwargs = {"enabled": torch.is_autocast_enabled(),
+                                   "dtype": torch.get_autocast_gpu_dtype(),
+                                   "cache_enabled": torch.is_autocast_cache_enabled()}
+        with torch.no_grad():
+            output_tensors = ctx.run_function(*ctx.input_tensors)
+        return output_tensors
+
+    @staticmethod
+    def backward(ctx, *output_grads):
+        ctx.input_tensors = [x.detach().requires_grad_(True) for x in ctx.input_tensors]
+        with torch.enable_grad(), \
+                torch.cuda.amp.autocast(**ctx.gpu_autocast_kwargs):
+            # Fixes a bug where the first op in run_function modifies the
+            # Tensor storage in place, which is not allowed for detach()'d
+            # Tensors.
+            shallow_copies = [x.view_as(x) for x in ctx.input_tensors]
+            output_tensors = ctx.run_function(*shallow_copies)
+        input_grads = torch.autograd.grad(
+            output_tensors,
+            ctx.input_tensors + ctx.input_params,
+            output_grads,
+            allow_unused=True,
+        )
+        del ctx.input_tensors
+        del ctx.input_params
+        del output_tensors
+        return (None, None) + input_grads
+
+
+def timestep_embedding(timesteps, dim, max_period=10000, repeat_only=False):
+    """
+    Create sinusoidal timestep embeddings.
+    :param timesteps: a 1-D Tensor of N indices, one per batch element.
+                      These may be fractional.
+    :param dim: the dimension of the output.
+    :param max_period: controls the minimum frequency of the embeddings.
+    :return: an [N x dim] Tensor of positional embeddings.
+    """
+    if not repeat_only:
+        half = dim // 2
+        freqs = torch.exp(
+            -math.log(max_period) * torch.arange(start=0, end=half, dtype=torch.float32, device=timesteps.device) / half
+        )
+        args = timesteps[:, None].float() * freqs[None]
+        embedding = torch.cat([torch.cos(args), torch.sin(args)], dim=-1)
+        if dim % 2:
+            embedding = torch.cat([embedding, torch.zeros_like(embedding[:, :1])], dim=-1)
+    else:
+        embedding = repeat(timesteps, 'b -> b d', d=dim)
+    return embedding
+
+
+def zero_module(module):
+    """
+    Zero out the parameters of a module and return it.
+    """
+    for p in module.parameters():
+        p.detach().zero_()
+    return module
+
+
+def scale_module(module, scale):
+    """
+    Scale the parameters of a module and return it.
+    """
+    for p in module.parameters():
+        p.detach().mul_(scale)
+    return module
+
+
+def mean_flat(tensor):
+    """
+    Take the mean over all non-batch dimensions.
+    """
+    return tensor.mean(dim=list(range(1, len(tensor.shape))))
+
+
+def avg_pool_nd(dims, *args, **kwargs):
+    """
+    Create a 1D, 2D, or 3D average pooling module.
+    """
+    if dims == 1:
+        return nn.AvgPool1d(*args, **kwargs)
+    elif dims == 2:
+        return nn.AvgPool2d(*args, **kwargs)
+    elif dims == 3:
+        return nn.AvgPool3d(*args, **kwargs)
+    raise ValueError(f"unsupported dimensions: {dims}")
+
+
+class HybridConditioner(nn.Module):
+
+    def __init__(self, c_concat_config, c_crossattn_config):
+        super().__init__()
+        self.concat_conditioner = instantiate_from_config(c_concat_config)
+        self.crossattn_conditioner = instantiate_from_config(c_crossattn_config)
+
+    def forward(self, c_concat, c_crossattn):
+        c_concat = self.concat_conditioner(c_concat)
+        c_crossattn = self.crossattn_conditioner(c_crossattn)
+        return {'c_concat': [c_concat], 'c_crossattn': [c_crossattn]}
+
+
+def noise_like(shape, device, repeat=False):
+    repeat_noise = lambda: torch.randn((1, *shape[1:]), device=device).repeat(shape[0], *((1,) * (len(shape) - 1)))
+    noise = lambda: torch.randn(shape, device=device)
+    return repeat_noise() if repeat else noise()
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diff --git a/ComfyUI/comfy/ldm/modules/distributions/distributions.py b/ComfyUI/comfy/ldm/modules/distributions/distributions.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2b8ef901130efc171aa69742ca0244d94d3f2e9
--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/distributions/distributions.py
@@ -0,0 +1,92 @@
+import torch
+import numpy as np
+
+
+class AbstractDistribution:
+    def sample(self):
+        raise NotImplementedError()
+
+    def mode(self):
+        raise NotImplementedError()
+
+
+class DiracDistribution(AbstractDistribution):
+    def __init__(self, value):
+        self.value = value
+
+    def sample(self):
+        return self.value
+
+    def mode(self):
+        return self.value
+
+
+class DiagonalGaussianDistribution(object):
+    def __init__(self, parameters, deterministic=False):
+        self.parameters = parameters
+        self.mean, self.logvar = torch.chunk(parameters, 2, dim=1)
+        self.logvar = torch.clamp(self.logvar, -30.0, 20.0)
+        self.deterministic = deterministic
+        self.std = torch.exp(0.5 * self.logvar)
+        self.var = torch.exp(self.logvar)
+        if self.deterministic:
+            self.var = self.std = torch.zeros_like(self.mean).to(device=self.parameters.device)
+
+    def sample(self):
+        x = self.mean + self.std * torch.randn(self.mean.shape).to(device=self.parameters.device)
+        return x
+
+    def kl(self, other=None):
+        if self.deterministic:
+            return torch.Tensor([0.])
+        else:
+            if other is None:
+                return 0.5 * torch.sum(torch.pow(self.mean, 2)
+                                       + self.var - 1.0 - self.logvar,
+                                       dim=[1, 2, 3])
+            else:
+                return 0.5 * torch.sum(
+                    torch.pow(self.mean - other.mean, 2) / other.var
+                    + self.var / other.var - 1.0 - self.logvar + other.logvar,
+                    dim=[1, 2, 3])
+
+    def nll(self, sample, dims=[1,2,3]):
+        if self.deterministic:
+            return torch.Tensor([0.])
+        logtwopi = np.log(2.0 * np.pi)
+        return 0.5 * torch.sum(
+            logtwopi + self.logvar + torch.pow(sample - self.mean, 2) / self.var,
+            dim=dims)
+
+    def mode(self):
+        return self.mean
+
+
+def normal_kl(mean1, logvar1, mean2, logvar2):
+    """
+    source: https://github.com/openai/guided-diffusion/blob/27c20a8fab9cb472df5d6bdd6c8d11c8f430b924/guided_diffusion/losses.py#L12
+    Compute the KL divergence between two gaussians.
+    Shapes are automatically broadcasted, so batches can be compared to
+    scalars, among other use cases.
+    """
+    tensor = None
+    for obj in (mean1, logvar1, mean2, logvar2):
+        if isinstance(obj, torch.Tensor):
+            tensor = obj
+            break
+    assert tensor is not None, "at least one argument must be a Tensor"
+
+    # Force variances to be Tensors. Broadcasting helps convert scalars to
+    # Tensors, but it does not work for torch.exp().
+    logvar1, logvar2 = [
+        x if isinstance(x, torch.Tensor) else torch.tensor(x).to(tensor)
+        for x in (logvar1, logvar2)
+    ]
+
+    return 0.5 * (
+        -1.0
+        + logvar2
+        - logvar1
+        + torch.exp(logvar1 - logvar2)
+        + ((mean1 - mean2) ** 2) * torch.exp(-logvar2)
+    )
diff --git a/ComfyUI/comfy/ldm/modules/ema.py b/ComfyUI/comfy/ldm/modules/ema.py
new file mode 100644
index 0000000000000000000000000000000000000000..bded25019b9bcbcd0260f0b8185f8c7859ca58c4
--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/ema.py
@@ -0,0 +1,80 @@
+import torch
+from torch import nn
+
+
+class LitEma(nn.Module):
+    def __init__(self, model, decay=0.9999, use_num_upates=True):
+        super().__init__()
+        if decay < 0.0 or decay > 1.0:
+            raise ValueError('Decay must be between 0 and 1')
+
+        self.m_name2s_name = {}
+        self.register_buffer('decay', torch.tensor(decay, dtype=torch.float32))
+        self.register_buffer('num_updates', torch.tensor(0, dtype=torch.int) if use_num_upates
+        else torch.tensor(-1, dtype=torch.int))
+
+        for name, p in model.named_parameters():
+            if p.requires_grad:
+                # remove as '.'-character is not allowed in buffers
+                s_name = name.replace('.', '')
+                self.m_name2s_name.update({name: s_name})
+                self.register_buffer(s_name, p.clone().detach().data)
+
+        self.collected_params = []
+
+    def reset_num_updates(self):
+        del self.num_updates
+        self.register_buffer('num_updates', torch.tensor(0, dtype=torch.int))
+
+    def forward(self, model):
+        decay = self.decay
+
+        if self.num_updates >= 0:
+            self.num_updates += 1
+            decay = min(self.decay, (1 + self.num_updates) / (10 + self.num_updates))
+
+        one_minus_decay = 1.0 - decay
+
+        with torch.no_grad():
+            m_param = dict(model.named_parameters())
+            shadow_params = dict(self.named_buffers())
+
+            for key in m_param:
+                if m_param[key].requires_grad:
+                    sname = self.m_name2s_name[key]
+                    shadow_params[sname] = shadow_params[sname].type_as(m_param[key])
+                    shadow_params[sname].sub_(one_minus_decay * (shadow_params[sname] - m_param[key]))
+                else:
+                    assert not key in self.m_name2s_name
+
+    def copy_to(self, model):
+        m_param = dict(model.named_parameters())
+        shadow_params = dict(self.named_buffers())
+        for key in m_param:
+            if m_param[key].requires_grad:
+                m_param[key].data.copy_(shadow_params[self.m_name2s_name[key]].data)
+            else:
+                assert not key in self.m_name2s_name
+
+    def store(self, parameters):
+        """
+        Save the current parameters for restoring later.
+        Args:
+          parameters: Iterable of `torch.nn.Parameter`; the parameters to be
+            temporarily stored.
+        """
+        self.collected_params = [param.clone() for param in parameters]
+
+    def restore(self, parameters):
+        """
+        Restore the parameters stored with the `store` method.
+        Useful to validate the model with EMA parameters without affecting the
+        original optimization process. Store the parameters before the
+        `copy_to` method. After validation (or model saving), use this to
+        restore the former parameters.
+        Args:
+          parameters: Iterable of `torch.nn.Parameter`; the parameters to be
+            updated with the stored parameters.
+        """
+        for c_param, param in zip(self.collected_params, parameters):
+            param.data.copy_(c_param.data)
diff --git a/ComfyUI/comfy/ldm/modules/encoders/__init__.py b/ComfyUI/comfy/ldm/modules/encoders/__init__.py
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diff --git a/ComfyUI/comfy/ldm/modules/encoders/noise_aug_modules.py b/ComfyUI/comfy/ldm/modules/encoders/noise_aug_modules.py
new file mode 100644
index 0000000000000000000000000000000000000000..a5d8660301636fde75808cba50afa539cf1162e0
--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/encoders/noise_aug_modules.py
@@ -0,0 +1,35 @@
+from ..diffusionmodules.upscaling import ImageConcatWithNoiseAugmentation
+from ..diffusionmodules.openaimodel import Timestep
+import torch
+
+class CLIPEmbeddingNoiseAugmentation(ImageConcatWithNoiseAugmentation):
+    def __init__(self, *args, clip_stats_path=None, timestep_dim=256, **kwargs):
+        super().__init__(*args, **kwargs)
+        if clip_stats_path is None:
+            clip_mean, clip_std = torch.zeros(timestep_dim), torch.ones(timestep_dim)
+        else:
+            clip_mean, clip_std = torch.load(clip_stats_path, map_location="cpu")
+        self.register_buffer("data_mean", clip_mean[None, :], persistent=False)
+        self.register_buffer("data_std", clip_std[None, :], persistent=False)
+        self.time_embed = Timestep(timestep_dim)
+
+    def scale(self, x):
+        # re-normalize to centered mean and unit variance
+        x = (x - self.data_mean.to(x.device)) * 1. / self.data_std.to(x.device)
+        return x
+
+    def unscale(self, x):
+        # back to original data stats
+        x = (x * self.data_std.to(x.device)) + self.data_mean.to(x.device)
+        return x
+
+    def forward(self, x, noise_level=None, seed=None):
+        if noise_level is None:
+            noise_level = torch.randint(0, self.max_noise_level, (x.shape[0],), device=x.device).long()
+        else:
+            assert isinstance(noise_level, torch.Tensor)
+        x = self.scale(x)
+        z = self.q_sample(x, noise_level, seed=seed)
+        z = self.unscale(z)
+        noise_level = self.time_embed(noise_level)
+        return z, noise_level
diff --git a/ComfyUI/comfy/ldm/modules/sub_quadratic_attention.py b/ComfyUI/comfy/ldm/modules/sub_quadratic_attention.py
new file mode 100644
index 0000000000000000000000000000000000000000..1bc4138c318125047bf7a58237fd8cbf45f2ed72
--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/sub_quadratic_attention.py
@@ -0,0 +1,274 @@
+# original source:
+#   https://github.com/AminRezaei0x443/memory-efficient-attention/blob/1bc0d9e6ac5f82ea43a375135c4e1d3896ee1694/memory_efficient_attention/attention_torch.py
+# license:
+#   MIT
+# credit:
+#   Amin Rezaei (original author)
+#   Alex Birch (optimized algorithm for 3D tensors, at the expense of removing bias, masking and callbacks)
+# implementation of:
+#   Self-attention Does Not Need O(n2) Memory":
+#   https://arxiv.org/abs/2112.05682v2
+
+from functools import partial
+import torch
+from torch import Tensor
+from torch.utils.checkpoint import checkpoint
+import math
+import logging
+
+try:
+	from typing import Optional, NamedTuple, List, Protocol
+except ImportError:
+	from typing import Optional, NamedTuple, List
+	from typing_extensions import Protocol
+
+from torch import Tensor
+from typing import List
+
+from comfy import model_management
+
+def dynamic_slice(
+    x: Tensor,
+    starts: List[int],
+    sizes: List[int],
+) -> Tensor:
+    slicing = [slice(start, start + size) for start, size in zip(starts, sizes)]
+    return x[slicing]
+
+class AttnChunk(NamedTuple):
+    exp_values: Tensor
+    exp_weights_sum: Tensor
+    max_score: Tensor
+
+class SummarizeChunk(Protocol):
+    @staticmethod
+    def __call__(
+        query: Tensor,
+        key_t: Tensor,
+        value: Tensor,
+    ) -> AttnChunk: ...
+
+class ComputeQueryChunkAttn(Protocol):
+    @staticmethod
+    def __call__(
+        query: Tensor,
+        key_t: Tensor,
+        value: Tensor,
+    ) -> Tensor: ...
+
+def _summarize_chunk(
+    query: Tensor,
+    key_t: Tensor,
+    value: Tensor,
+    scale: float,
+    upcast_attention: bool,
+    mask,
+) -> AttnChunk:
+    if upcast_attention:
+        with torch.autocast(enabled=False, device_type = 'cuda'):
+            query = query.float()
+            key_t = key_t.float()
+            attn_weights = torch.baddbmm(
+                torch.empty(1, 1, 1, device=query.device, dtype=query.dtype),
+                query,
+                key_t,
+                alpha=scale,
+                beta=0,
+            )
+    else:
+        attn_weights = torch.baddbmm(
+            torch.empty(1, 1, 1, device=query.device, dtype=query.dtype),
+            query,
+            key_t,
+            alpha=scale,
+            beta=0,
+        )
+    max_score, _ = torch.max(attn_weights, -1, keepdim=True)
+    max_score = max_score.detach()
+    attn_weights -= max_score
+    if mask is not None:
+        attn_weights += mask
+    torch.exp(attn_weights, out=attn_weights)
+    exp_weights = attn_weights.to(value.dtype)
+    exp_values = torch.bmm(exp_weights, value)
+    max_score = max_score.squeeze(-1)
+    return AttnChunk(exp_values, exp_weights.sum(dim=-1), max_score)
+
+def _query_chunk_attention(
+    query: Tensor,
+    key_t: Tensor,
+    value: Tensor,
+    summarize_chunk: SummarizeChunk,
+    kv_chunk_size: int,
+    mask,
+) -> Tensor:
+    batch_x_heads, k_channels_per_head, k_tokens = key_t.shape
+    _, _, v_channels_per_head = value.shape
+
+    def chunk_scanner(chunk_idx: int, mask) -> AttnChunk:
+        key_chunk = dynamic_slice(
+            key_t,
+            (0, 0, chunk_idx),
+            (batch_x_heads, k_channels_per_head, kv_chunk_size)
+        )
+        value_chunk = dynamic_slice(
+            value,
+            (0, chunk_idx, 0),
+            (batch_x_heads, kv_chunk_size, v_channels_per_head)
+        )
+        if mask is not None:
+            mask = mask[:,:,chunk_idx:chunk_idx + kv_chunk_size]
+
+        return summarize_chunk(query, key_chunk, value_chunk, mask=mask)
+
+    chunks: List[AttnChunk] = [
+        chunk_scanner(chunk, mask) for chunk in torch.arange(0, k_tokens, kv_chunk_size)
+    ]
+    acc_chunk = AttnChunk(*map(torch.stack, zip(*chunks)))
+    chunk_values, chunk_weights, chunk_max = acc_chunk
+
+    global_max, _ = torch.max(chunk_max, 0, keepdim=True)
+    max_diffs = torch.exp(chunk_max - global_max)
+    chunk_values *= torch.unsqueeze(max_diffs, -1)
+    chunk_weights *= max_diffs
+
+    all_values = chunk_values.sum(dim=0)
+    all_weights = torch.unsqueeze(chunk_weights, -1).sum(dim=0)
+    return all_values / all_weights
+
+# TODO: refactor CrossAttention#get_attention_scores to share code with this
+def _get_attention_scores_no_kv_chunking(
+    query: Tensor,
+    key_t: Tensor,
+    value: Tensor,
+    scale: float,
+    upcast_attention: bool,
+    mask,
+) -> Tensor:
+    if upcast_attention:
+        with torch.autocast(enabled=False, device_type = 'cuda'):
+            query = query.float()
+            key_t = key_t.float()
+            attn_scores = torch.baddbmm(
+                torch.empty(1, 1, 1, device=query.device, dtype=query.dtype),
+                query,
+                key_t,
+                alpha=scale,
+                beta=0,
+            )
+    else:
+        attn_scores = torch.baddbmm(
+            torch.empty(1, 1, 1, device=query.device, dtype=query.dtype),
+            query,
+            key_t,
+            alpha=scale,
+            beta=0,
+        )
+
+    if mask is not None:
+        attn_scores += mask
+    try:
+        attn_probs = attn_scores.softmax(dim=-1)
+        del attn_scores
+    except model_management.OOM_EXCEPTION:
+        logging.warning("ran out of memory while running softmax in  _get_attention_scores_no_kv_chunking, trying slower in place softmax instead")
+        attn_scores -= attn_scores.max(dim=-1, keepdim=True).values
+        torch.exp(attn_scores, out=attn_scores)
+        summed = torch.sum(attn_scores, dim=-1, keepdim=True)
+        attn_scores /= summed
+        attn_probs = attn_scores
+
+    hidden_states_slice = torch.bmm(attn_probs.to(value.dtype), value)
+    return hidden_states_slice
+
+class ScannedChunk(NamedTuple):
+    chunk_idx: int
+    attn_chunk: AttnChunk
+
+def efficient_dot_product_attention(
+    query: Tensor,
+    key_t: Tensor,
+    value: Tensor,
+    query_chunk_size=1024,
+    kv_chunk_size: Optional[int] = None,
+    kv_chunk_size_min: Optional[int] = None,
+    use_checkpoint=True,
+    upcast_attention=False,
+    mask = None,
+):
+    """Computes efficient dot-product attention given query, transposed key, and value.
+      This is efficient version of attention presented in
+      https://arxiv.org/abs/2112.05682v2 which comes with O(sqrt(n)) memory requirements.
+      Args:
+        query: queries for calculating attention with shape of
+          `[batch * num_heads, tokens, channels_per_head]`.
+        key_t: keys for calculating attention with shape of
+          `[batch * num_heads, channels_per_head, tokens]`.
+        value: values to be used in attention with shape of
+          `[batch * num_heads, tokens, channels_per_head]`.
+        query_chunk_size: int: query chunks size
+        kv_chunk_size: Optional[int]: key/value chunks size. if None: defaults to sqrt(key_tokens)
+        kv_chunk_size_min: Optional[int]: key/value minimum chunk size. only considered when kv_chunk_size is None. changes `sqrt(key_tokens)` into `max(sqrt(key_tokens), kv_chunk_size_min)`, to ensure our chunk sizes don't get too small (smaller chunks = more chunks = less concurrent work done).
+        use_checkpoint: bool: whether to use checkpointing (recommended True for training, False for inference)
+      Returns:
+        Output of shape `[batch * num_heads, query_tokens, channels_per_head]`.
+      """
+    batch_x_heads, q_tokens, q_channels_per_head = query.shape
+    _, _, k_tokens = key_t.shape
+    scale = q_channels_per_head ** -0.5
+
+    kv_chunk_size = min(kv_chunk_size or int(math.sqrt(k_tokens)), k_tokens)
+    if kv_chunk_size_min is not None:
+        kv_chunk_size = max(kv_chunk_size, kv_chunk_size_min)
+
+    if mask is not None and len(mask.shape) == 2:
+        mask = mask.unsqueeze(0)
+
+    def get_query_chunk(chunk_idx: int) -> Tensor:
+        return dynamic_slice(
+            query,
+            (0, chunk_idx, 0),
+            (batch_x_heads, min(query_chunk_size, q_tokens), q_channels_per_head)
+        )
+
+    def get_mask_chunk(chunk_idx: int) -> Tensor:
+        if mask is None:
+            return None
+        chunk = min(query_chunk_size, q_tokens)
+        return mask[:,chunk_idx:chunk_idx + chunk]
+
+    summarize_chunk: SummarizeChunk = partial(_summarize_chunk, scale=scale, upcast_attention=upcast_attention)
+    summarize_chunk: SummarizeChunk = partial(checkpoint, summarize_chunk) if use_checkpoint else summarize_chunk
+    compute_query_chunk_attn: ComputeQueryChunkAttn = partial(
+        _get_attention_scores_no_kv_chunking,
+        scale=scale,
+        upcast_attention=upcast_attention
+    ) if k_tokens <= kv_chunk_size else (
+        # fast-path for when there's just 1 key-value chunk per query chunk (this is just sliced attention btw)
+        partial(
+            _query_chunk_attention,
+            kv_chunk_size=kv_chunk_size,
+            summarize_chunk=summarize_chunk,
+        )
+    )
+
+    if q_tokens <= query_chunk_size:
+        # fast-path for when there's just 1 query chunk
+        return compute_query_chunk_attn(
+            query=query,
+            key_t=key_t,
+            value=value,
+            mask=mask,
+        )
+    
+    # TODO: maybe we should use torch.empty_like(query) to allocate storage in-advance,
+    # and pass slices to be mutated, instead of torch.cat()ing the returned slices
+    res = torch.cat([
+        compute_query_chunk_attn(
+            query=get_query_chunk(i * query_chunk_size),
+            key_t=key_t,
+            value=value,
+            mask=get_mask_chunk(i * query_chunk_size)
+        ) for i in range(math.ceil(q_tokens / query_chunk_size))
+    ], dim=1)
+    return res
diff --git a/ComfyUI/comfy/ldm/modules/temporal_ae.py b/ComfyUI/comfy/ldm/modules/temporal_ae.py
new file mode 100644
index 0000000000000000000000000000000000000000..2992aeafc35ae8ca9e4ecac236810fa5a1fb84ad
--- /dev/null
+++ b/ComfyUI/comfy/ldm/modules/temporal_ae.py
@@ -0,0 +1,245 @@
+import functools
+from typing import Callable, Iterable, Union
+
+import torch
+from einops import rearrange, repeat
+
+import comfy.ops
+ops = comfy.ops.disable_weight_init
+
+from .diffusionmodules.model import (
+    AttnBlock,
+    Decoder,
+    ResnetBlock,
+)
+from .diffusionmodules.openaimodel import ResBlock, timestep_embedding
+from .attention import BasicTransformerBlock
+
+def partialclass(cls, *args, **kwargs):
+    class NewCls(cls):
+        __init__ = functools.partialmethod(cls.__init__, *args, **kwargs)
+
+    return NewCls
+
+
+class VideoResBlock(ResnetBlock):
+    def __init__(
+        self,
+        out_channels,
+        *args,
+        dropout=0.0,
+        video_kernel_size=3,
+        alpha=0.0,
+        merge_strategy="learned",
+        **kwargs,
+    ):
+        super().__init__(out_channels=out_channels, dropout=dropout, *args, **kwargs)
+        if video_kernel_size is None:
+            video_kernel_size = [3, 1, 1]
+        self.time_stack = ResBlock(
+            channels=out_channels,
+            emb_channels=0,
+            dropout=dropout,
+            dims=3,
+            use_scale_shift_norm=False,
+            use_conv=False,
+            up=False,
+            down=False,
+            kernel_size=video_kernel_size,
+            use_checkpoint=False,
+            skip_t_emb=True,
+        )
+
+        self.merge_strategy = merge_strategy
+        if self.merge_strategy == "fixed":
+            self.register_buffer("mix_factor", torch.Tensor([alpha]))
+        elif self.merge_strategy == "learned":
+            self.register_parameter(
+                "mix_factor", torch.nn.Parameter(torch.Tensor([alpha]))
+            )
+        else:
+            raise ValueError(f"unknown merge strategy {self.merge_strategy}")
+
+    def get_alpha(self, bs):
+        if self.merge_strategy == "fixed":
+            return self.mix_factor
+        elif self.merge_strategy == "learned":
+            return torch.sigmoid(self.mix_factor)
+        else:
+            raise NotImplementedError()
+
+    def forward(self, x, temb, skip_video=False, timesteps=None):
+        b, c, h, w = x.shape
+        if timesteps is None:
+            timesteps = b
+
+        x = super().forward(x, temb)
+
+        if not skip_video:
+            x_mix = rearrange(x, "(b t) c h w -> b c t h w", t=timesteps)
+
+            x = rearrange(x, "(b t) c h w -> b c t h w", t=timesteps)
+
+            x = self.time_stack(x, temb)
+
+            alpha = self.get_alpha(bs=b // timesteps).to(x.device)
+            x = alpha * x + (1.0 - alpha) * x_mix
+
+            x = rearrange(x, "b c t h w -> (b t) c h w")
+        return x
+
+
+class AE3DConv(ops.Conv2d):
+    def __init__(self, in_channels, out_channels, video_kernel_size=3, *args, **kwargs):
+        super().__init__(in_channels, out_channels, *args, **kwargs)
+        if isinstance(video_kernel_size, Iterable):
+            padding = [int(k // 2) for k in video_kernel_size]
+        else:
+            padding = int(video_kernel_size // 2)
+
+        self.time_mix_conv = ops.Conv3d(
+            in_channels=out_channels,
+            out_channels=out_channels,
+            kernel_size=video_kernel_size,
+            padding=padding,
+        )
+
+    def forward(self, input, timesteps=None, skip_video=False):
+        if timesteps is None:
+            timesteps = input.shape[0]
+        x = super().forward(input)
+        if skip_video:
+            return x
+        x = rearrange(x, "(b t) c h w -> b c t h w", t=timesteps)
+        x = self.time_mix_conv(x)
+        return rearrange(x, "b c t h w -> (b t) c h w")
+
+
+class AttnVideoBlock(AttnBlock):
+    def __init__(
+        self, in_channels: int, alpha: float = 0, merge_strategy: str = "learned"
+    ):
+        super().__init__(in_channels)
+        # no context, single headed, as in base class
+        self.time_mix_block = BasicTransformerBlock(
+            dim=in_channels,
+            n_heads=1,
+            d_head=in_channels,
+            checkpoint=False,
+            ff_in=True,
+        )
+
+        time_embed_dim = self.in_channels * 4
+        self.video_time_embed = torch.nn.Sequential(
+            ops.Linear(self.in_channels, time_embed_dim),
+            torch.nn.SiLU(),
+            ops.Linear(time_embed_dim, self.in_channels),
+        )
+
+        self.merge_strategy = merge_strategy
+        if self.merge_strategy == "fixed":
+            self.register_buffer("mix_factor", torch.Tensor([alpha]))
+        elif self.merge_strategy == "learned":
+            self.register_parameter(
+                "mix_factor", torch.nn.Parameter(torch.Tensor([alpha]))
+            )
+        else:
+            raise ValueError(f"unknown merge strategy {self.merge_strategy}")
+
+    def forward(self, x, timesteps=None, skip_time_block=False):
+        if skip_time_block:
+            return super().forward(x)
+
+        if timesteps is None:
+            timesteps = x.shape[0]
+
+        x_in = x
+        x = self.attention(x)
+        h, w = x.shape[2:]
+        x = rearrange(x, "b c h w -> b (h w) c")
+
+        x_mix = x
+        num_frames = torch.arange(timesteps, device=x.device)
+        num_frames = repeat(num_frames, "t -> b t", b=x.shape[0] // timesteps)
+        num_frames = rearrange(num_frames, "b t -> (b t)")
+        t_emb = timestep_embedding(num_frames, self.in_channels, repeat_only=False)
+        emb = self.video_time_embed(t_emb)  # b, n_channels
+        emb = emb[:, None, :]
+        x_mix = x_mix + emb
+
+        alpha = self.get_alpha().to(x.device)
+        x_mix = self.time_mix_block(x_mix, timesteps=timesteps)
+        x = alpha * x + (1.0 - alpha) * x_mix  # alpha merge
+
+        x = rearrange(x, "b (h w) c -> b c h w", h=h, w=w)
+        x = self.proj_out(x)
+
+        return x_in + x
+
+    def get_alpha(
+        self,
+    ):
+        if self.merge_strategy == "fixed":
+            return self.mix_factor
+        elif self.merge_strategy == "learned":
+            return torch.sigmoid(self.mix_factor)
+        else:
+            raise NotImplementedError(f"unknown merge strategy {self.merge_strategy}")
+
+
+
+def make_time_attn(
+    in_channels,
+    attn_type="vanilla",
+    attn_kwargs=None,
+    alpha: float = 0,
+    merge_strategy: str = "learned",
+):
+    return partialclass(
+        AttnVideoBlock, in_channels, alpha=alpha, merge_strategy=merge_strategy
+    )
+
+
+class Conv2DWrapper(torch.nn.Conv2d):
+    def forward(self, input: torch.Tensor, **kwargs) -> torch.Tensor:
+        return super().forward(input)
+
+
+class VideoDecoder(Decoder):
+    available_time_modes = ["all", "conv-only", "attn-only"]
+
+    def __init__(
+        self,
+        *args,
+        video_kernel_size: Union[int, list] = 3,
+        alpha: float = 0.0,
+        merge_strategy: str = "learned",
+        time_mode: str = "conv-only",
+        **kwargs,
+    ):
+        self.video_kernel_size = video_kernel_size
+        self.alpha = alpha
+        self.merge_strategy = merge_strategy
+        self.time_mode = time_mode
+        assert (
+            self.time_mode in self.available_time_modes
+        ), f"time_mode parameter has to be in {self.available_time_modes}"
+
+        if self.time_mode != "attn-only":
+            kwargs["conv_out_op"] = partialclass(AE3DConv, video_kernel_size=self.video_kernel_size)
+        if self.time_mode not in ["conv-only", "only-last-conv"]:
+            kwargs["attn_op"] = partialclass(make_time_attn, alpha=self.alpha, merge_strategy=self.merge_strategy)
+        if self.time_mode not in ["attn-only", "only-last-conv"]:
+            kwargs["resnet_op"] = partialclass(VideoResBlock, video_kernel_size=self.video_kernel_size, alpha=self.alpha, merge_strategy=self.merge_strategy)
+
+        super().__init__(*args, **kwargs)
+
+    def get_last_layer(self, skip_time_mix=False, **kwargs):
+        if self.time_mode == "attn-only":
+            raise NotImplementedError("TODO")
+        else:
+            return (
+                self.conv_out.time_mix_conv.weight
+                if not skip_time_mix
+                else self.conv_out.weight
+            )
diff --git a/ComfyUI/comfy/ldm/util.py b/ComfyUI/comfy/ldm/util.py
new file mode 100644
index 0000000000000000000000000000000000000000..8c09ca1c72f7ceb3f9d7f9546aae5561baf62b13
--- /dev/null
+++ b/ComfyUI/comfy/ldm/util.py
@@ -0,0 +1,197 @@
+import importlib
+
+import torch
+from torch import optim
+import numpy as np
+
+from inspect import isfunction
+from PIL import Image, ImageDraw, ImageFont
+
+
+def log_txt_as_img(wh, xc, size=10):
+    # wh a tuple of (width, height)
+    # xc a list of captions to plot
+    b = len(xc)
+    txts = list()
+    for bi in range(b):
+        txt = Image.new("RGB", wh, color="white")
+        draw = ImageDraw.Draw(txt)
+        font = ImageFont.truetype('data/DejaVuSans.ttf', size=size)
+        nc = int(40 * (wh[0] / 256))
+        lines = "\n".join(xc[bi][start:start + nc] for start in range(0, len(xc[bi]), nc))
+
+        try:
+            draw.text((0, 0), lines, fill="black", font=font)
+        except UnicodeEncodeError:
+            print("Cant encode string for logging. Skipping.")
+
+        txt = np.array(txt).transpose(2, 0, 1) / 127.5 - 1.0
+        txts.append(txt)
+    txts = np.stack(txts)
+    txts = torch.tensor(txts)
+    return txts
+
+
+def ismap(x):
+    if not isinstance(x, torch.Tensor):
+        return False
+    return (len(x.shape) == 4) and (x.shape[1] > 3)
+
+
+def isimage(x):
+    if not isinstance(x,torch.Tensor):
+        return False
+    return (len(x.shape) == 4) and (x.shape[1] == 3 or x.shape[1] == 1)
+
+
+def exists(x):
+    return x is not None
+
+
+def default(val, d):
+    if exists(val):
+        return val
+    return d() if isfunction(d) else d
+
+
+def mean_flat(tensor):
+    """
+    https://github.com/openai/guided-diffusion/blob/27c20a8fab9cb472df5d6bdd6c8d11c8f430b924/guided_diffusion/nn.py#L86
+    Take the mean over all non-batch dimensions.
+    """
+    return tensor.mean(dim=list(range(1, len(tensor.shape))))
+
+
+def count_params(model, verbose=False):
+    total_params = sum(p.numel() for p in model.parameters())
+    if verbose:
+        print(f"{model.__class__.__name__} has {total_params*1.e-6:.2f} M params.")
+    return total_params
+
+
+def instantiate_from_config(config):
+    if not "target" in config:
+        if config == '__is_first_stage__':
+            return None
+        elif config == "__is_unconditional__":
+            return None
+        raise KeyError("Expected key `target` to instantiate.")
+    return get_obj_from_str(config["target"])(**config.get("params", dict()))
+
+
+def get_obj_from_str(string, reload=False):
+    module, cls = string.rsplit(".", 1)
+    if reload:
+        module_imp = importlib.import_module(module)
+        importlib.reload(module_imp)
+    return getattr(importlib.import_module(module, package=None), cls)
+
+
+class AdamWwithEMAandWings(optim.Optimizer):
+    # credit to https://gist.github.com/crowsonkb/65f7265353f403714fce3b2595e0b298
+    def __init__(self, params, lr=1.e-3, betas=(0.9, 0.999), eps=1.e-8,  # TODO: check hyperparameters before using
+                 weight_decay=1.e-2, amsgrad=False, ema_decay=0.9999,   # ema decay to match previous code
+                 ema_power=1., param_names=()):
+        """AdamW that saves EMA versions of the parameters."""
+        if not 0.0 <= lr:
+            raise ValueError("Invalid learning rate: {}".format(lr))
+        if not 0.0 <= eps:
+            raise ValueError("Invalid epsilon value: {}".format(eps))
+        if not 0.0 <= betas[0] < 1.0:
+            raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0]))
+        if not 0.0 <= betas[1] < 1.0:
+            raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1]))
+        if not 0.0 <= weight_decay:
+            raise ValueError("Invalid weight_decay value: {}".format(weight_decay))
+        if not 0.0 <= ema_decay <= 1.0:
+            raise ValueError("Invalid ema_decay value: {}".format(ema_decay))
+        defaults = dict(lr=lr, betas=betas, eps=eps,
+                        weight_decay=weight_decay, amsgrad=amsgrad, ema_decay=ema_decay,
+                        ema_power=ema_power, param_names=param_names)
+        super().__init__(params, defaults)
+
+    def __setstate__(self, state):
+        super().__setstate__(state)
+        for group in self.param_groups:
+            group.setdefault('amsgrad', False)
+
+    @torch.no_grad()
+    def step(self, closure=None):
+        """Performs a single optimization step.
+        Args:
+            closure (callable, optional): A closure that reevaluates the model
+                and returns the loss.
+        """
+        loss = None
+        if closure is not None:
+            with torch.enable_grad():
+                loss = closure()
+
+        for group in self.param_groups:
+            params_with_grad = []
+            grads = []
+            exp_avgs = []
+            exp_avg_sqs = []
+            ema_params_with_grad = []
+            state_sums = []
+            max_exp_avg_sqs = []
+            state_steps = []
+            amsgrad = group['amsgrad']
+            beta1, beta2 = group['betas']
+            ema_decay = group['ema_decay']
+            ema_power = group['ema_power']
+
+            for p in group['params']:
+                if p.grad is None:
+                    continue
+                params_with_grad.append(p)
+                if p.grad.is_sparse:
+                    raise RuntimeError('AdamW does not support sparse gradients')
+                grads.append(p.grad)
+
+                state = self.state[p]
+
+                # State initialization
+                if len(state) == 0:
+                    state['step'] = 0
+                    # Exponential moving average of gradient values
+                    state['exp_avg'] = torch.zeros_like(p, memory_format=torch.preserve_format)
+                    # Exponential moving average of squared gradient values
+                    state['exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format)
+                    if amsgrad:
+                        # Maintains max of all exp. moving avg. of sq. grad. values
+                        state['max_exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format)
+                    # Exponential moving average of parameter values
+                    state['param_exp_avg'] = p.detach().float().clone()
+
+                exp_avgs.append(state['exp_avg'])
+                exp_avg_sqs.append(state['exp_avg_sq'])
+                ema_params_with_grad.append(state['param_exp_avg'])
+
+                if amsgrad:
+                    max_exp_avg_sqs.append(state['max_exp_avg_sq'])
+
+                # update the steps for each param group update
+                state['step'] += 1
+                # record the step after step update
+                state_steps.append(state['step'])
+
+            optim._functional.adamw(params_with_grad,
+                    grads,
+                    exp_avgs,
+                    exp_avg_sqs,
+                    max_exp_avg_sqs,
+                    state_steps,
+                    amsgrad=amsgrad,
+                    beta1=beta1,
+                    beta2=beta2,
+                    lr=group['lr'],
+                    weight_decay=group['weight_decay'],
+                    eps=group['eps'],
+                    maximize=False)
+
+            cur_ema_decay = min(ema_decay, 1 - state['step'] ** -ema_power)
+            for param, ema_param in zip(params_with_grad, ema_params_with_grad):
+                ema_param.mul_(cur_ema_decay).add_(param.float(), alpha=1 - cur_ema_decay)
+
+        return loss
\ No newline at end of file
diff --git a/ComfyUI/comfy/lora.py b/ComfyUI/comfy/lora.py
new file mode 100644
index 0000000000000000000000000000000000000000..d770d9b400955cd14655a604bdf48c43553517a5
--- /dev/null
+++ b/ComfyUI/comfy/lora.py
@@ -0,0 +1,557 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Comfy
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+from __future__ import annotations
+import comfy.utils
+import comfy.model_management
+import comfy.model_base
+import logging
+import torch
+
+LORA_CLIP_MAP = {
+    "mlp.fc1": "mlp_fc1",
+    "mlp.fc2": "mlp_fc2",
+    "self_attn.k_proj": "self_attn_k_proj",
+    "self_attn.q_proj": "self_attn_q_proj",
+    "self_attn.v_proj": "self_attn_v_proj",
+    "self_attn.out_proj": "self_attn_out_proj",
+}
+
+
+def load_lora(lora, to_load):
+    patch_dict = {}
+    loaded_keys = set()
+    for x in to_load:
+        alpha_name = "{}.alpha".format(x)
+        alpha = None
+        if alpha_name in lora.keys():
+            alpha = lora[alpha_name].item()
+            loaded_keys.add(alpha_name)
+
+        dora_scale_name = "{}.dora_scale".format(x)
+        dora_scale = None
+        if dora_scale_name in lora.keys():
+            dora_scale = lora[dora_scale_name]
+            loaded_keys.add(dora_scale_name)
+
+        regular_lora = "{}.lora_up.weight".format(x)
+        diffusers_lora = "{}_lora.up.weight".format(x)
+        diffusers2_lora = "{}.lora_B.weight".format(x)
+        diffusers3_lora = "{}.lora.up.weight".format(x)
+        transformers_lora = "{}.lora_linear_layer.up.weight".format(x)
+        A_name = None
+
+        if regular_lora in lora.keys():
+            A_name = regular_lora
+            B_name = "{}.lora_down.weight".format(x)
+            mid_name = "{}.lora_mid.weight".format(x)
+        elif diffusers_lora in lora.keys():
+            A_name = diffusers_lora
+            B_name = "{}_lora.down.weight".format(x)
+            mid_name = None
+        elif diffusers2_lora in lora.keys():
+            A_name = diffusers2_lora
+            B_name = "{}.lora_A.weight".format(x)
+            mid_name = None
+        elif diffusers3_lora in lora.keys():
+            A_name = diffusers3_lora
+            B_name = "{}.lora.down.weight".format(x)
+            mid_name = None
+        elif transformers_lora in lora.keys():
+            A_name = transformers_lora
+            B_name ="{}.lora_linear_layer.down.weight".format(x)
+            mid_name = None
+
+        if A_name is not None:
+            mid = None
+            if mid_name is not None and mid_name in lora.keys():
+                mid = lora[mid_name]
+                loaded_keys.add(mid_name)
+            patch_dict[to_load[x]] = ("lora", (lora[A_name], lora[B_name], alpha, mid, dora_scale))
+            loaded_keys.add(A_name)
+            loaded_keys.add(B_name)
+
+
+        ######## loha
+        hada_w1_a_name = "{}.hada_w1_a".format(x)
+        hada_w1_b_name = "{}.hada_w1_b".format(x)
+        hada_w2_a_name = "{}.hada_w2_a".format(x)
+        hada_w2_b_name = "{}.hada_w2_b".format(x)
+        hada_t1_name = "{}.hada_t1".format(x)
+        hada_t2_name = "{}.hada_t2".format(x)
+        if hada_w1_a_name in lora.keys():
+            hada_t1 = None
+            hada_t2 = None
+            if hada_t1_name in lora.keys():
+                hada_t1 = lora[hada_t1_name]
+                hada_t2 = lora[hada_t2_name]
+                loaded_keys.add(hada_t1_name)
+                loaded_keys.add(hada_t2_name)
+
+            patch_dict[to_load[x]] = ("loha", (lora[hada_w1_a_name], lora[hada_w1_b_name], alpha, lora[hada_w2_a_name], lora[hada_w2_b_name], hada_t1, hada_t2, dora_scale))
+            loaded_keys.add(hada_w1_a_name)
+            loaded_keys.add(hada_w1_b_name)
+            loaded_keys.add(hada_w2_a_name)
+            loaded_keys.add(hada_w2_b_name)
+
+
+        ######## lokr
+        lokr_w1_name = "{}.lokr_w1".format(x)
+        lokr_w2_name = "{}.lokr_w2".format(x)
+        lokr_w1_a_name = "{}.lokr_w1_a".format(x)
+        lokr_w1_b_name = "{}.lokr_w1_b".format(x)
+        lokr_t2_name = "{}.lokr_t2".format(x)
+        lokr_w2_a_name = "{}.lokr_w2_a".format(x)
+        lokr_w2_b_name = "{}.lokr_w2_b".format(x)
+
+        lokr_w1 = None
+        if lokr_w1_name in lora.keys():
+            lokr_w1 = lora[lokr_w1_name]
+            loaded_keys.add(lokr_w1_name)
+
+        lokr_w2 = None
+        if lokr_w2_name in lora.keys():
+            lokr_w2 = lora[lokr_w2_name]
+            loaded_keys.add(lokr_w2_name)
+
+        lokr_w1_a = None
+        if lokr_w1_a_name in lora.keys():
+            lokr_w1_a = lora[lokr_w1_a_name]
+            loaded_keys.add(lokr_w1_a_name)
+
+        lokr_w1_b = None
+        if lokr_w1_b_name in lora.keys():
+            lokr_w1_b = lora[lokr_w1_b_name]
+            loaded_keys.add(lokr_w1_b_name)
+
+        lokr_w2_a = None
+        if lokr_w2_a_name in lora.keys():
+            lokr_w2_a = lora[lokr_w2_a_name]
+            loaded_keys.add(lokr_w2_a_name)
+
+        lokr_w2_b = None
+        if lokr_w2_b_name in lora.keys():
+            lokr_w2_b = lora[lokr_w2_b_name]
+            loaded_keys.add(lokr_w2_b_name)
+
+        lokr_t2 = None
+        if lokr_t2_name in lora.keys():
+            lokr_t2 = lora[lokr_t2_name]
+            loaded_keys.add(lokr_t2_name)
+
+        if (lokr_w1 is not None) or (lokr_w2 is not None) or (lokr_w1_a is not None) or (lokr_w2_a is not None):
+            patch_dict[to_load[x]] = ("lokr", (lokr_w1, lokr_w2, alpha, lokr_w1_a, lokr_w1_b, lokr_w2_a, lokr_w2_b, lokr_t2, dora_scale))
+
+        #glora
+        a1_name = "{}.a1.weight".format(x)
+        a2_name = "{}.a2.weight".format(x)
+        b1_name = "{}.b1.weight".format(x)
+        b2_name = "{}.b2.weight".format(x)
+        if a1_name in lora:
+            patch_dict[to_load[x]] = ("glora", (lora[a1_name], lora[a2_name], lora[b1_name], lora[b2_name], alpha, dora_scale))
+            loaded_keys.add(a1_name)
+            loaded_keys.add(a2_name)
+            loaded_keys.add(b1_name)
+            loaded_keys.add(b2_name)
+
+        w_norm_name = "{}.w_norm".format(x)
+        b_norm_name = "{}.b_norm".format(x)
+        w_norm = lora.get(w_norm_name, None)
+        b_norm = lora.get(b_norm_name, None)
+
+        if w_norm is not None:
+            loaded_keys.add(w_norm_name)
+            patch_dict[to_load[x]] = ("diff", (w_norm,))
+            if b_norm is not None:
+                loaded_keys.add(b_norm_name)
+                patch_dict["{}.bias".format(to_load[x][:-len(".weight")])] = ("diff", (b_norm,))
+
+        diff_name = "{}.diff".format(x)
+        diff_weight = lora.get(diff_name, None)
+        if diff_weight is not None:
+            patch_dict[to_load[x]] = ("diff", (diff_weight,))
+            loaded_keys.add(diff_name)
+
+        diff_bias_name = "{}.diff_b".format(x)
+        diff_bias = lora.get(diff_bias_name, None)
+        if diff_bias is not None:
+            patch_dict["{}.bias".format(to_load[x][:-len(".weight")])] = ("diff", (diff_bias,))
+            loaded_keys.add(diff_bias_name)
+
+    for x in lora.keys():
+        if x not in loaded_keys:
+            logging.warning("lora key not loaded: {}".format(x))
+
+    return patch_dict
+
+def model_lora_keys_clip(model, key_map={}):
+    sdk = model.state_dict().keys()
+
+    text_model_lora_key = "lora_te_text_model_encoder_layers_{}_{}"
+    clip_l_present = False
+    for b in range(32): #TODO: clean up
+        for c in LORA_CLIP_MAP:
+            k = "clip_h.transformer.text_model.encoder.layers.{}.{}.weight".format(b, c)
+            if k in sdk:
+                lora_key = text_model_lora_key.format(b, LORA_CLIP_MAP[c])
+                key_map[lora_key] = k
+                lora_key = "lora_te1_text_model_encoder_layers_{}_{}".format(b, LORA_CLIP_MAP[c])
+                key_map[lora_key] = k
+                lora_key = "text_encoder.text_model.encoder.layers.{}.{}".format(b, c) #diffusers lora
+                key_map[lora_key] = k
+
+            k = "clip_l.transformer.text_model.encoder.layers.{}.{}.weight".format(b, c)
+            if k in sdk:
+                lora_key = text_model_lora_key.format(b, LORA_CLIP_MAP[c])
+                key_map[lora_key] = k
+                lora_key = "lora_te1_text_model_encoder_layers_{}_{}".format(b, LORA_CLIP_MAP[c]) #SDXL base
+                key_map[lora_key] = k
+                clip_l_present = True
+                lora_key = "text_encoder.text_model.encoder.layers.{}.{}".format(b, c) #diffusers lora
+                key_map[lora_key] = k
+
+            k = "clip_g.transformer.text_model.encoder.layers.{}.{}.weight".format(b, c)
+            if k in sdk:
+                if clip_l_present:
+                    lora_key = "lora_te2_text_model_encoder_layers_{}_{}".format(b, LORA_CLIP_MAP[c]) #SDXL base
+                    key_map[lora_key] = k
+                    lora_key = "text_encoder_2.text_model.encoder.layers.{}.{}".format(b, c) #diffusers lora
+                    key_map[lora_key] = k
+                else:
+                    lora_key = "lora_te_text_model_encoder_layers_{}_{}".format(b, LORA_CLIP_MAP[c]) #TODO: test if this is correct for SDXL-Refiner
+                    key_map[lora_key] = k
+                    lora_key = "text_encoder.text_model.encoder.layers.{}.{}".format(b, c) #diffusers lora
+                    key_map[lora_key] = k
+                    lora_key = "lora_prior_te_text_model_encoder_layers_{}_{}".format(b, LORA_CLIP_MAP[c]) #cascade lora: TODO put lora key prefix in the model config
+                    key_map[lora_key] = k
+
+    for k in sdk:
+        if k.endswith(".weight"):
+            if k.startswith("t5xxl.transformer."):#OneTrainer SD3 lora
+                l_key = k[len("t5xxl.transformer."):-len(".weight")]
+                lora_key = "lora_te3_{}".format(l_key.replace(".", "_"))
+                key_map[lora_key] = k
+            elif k.startswith("hydit_clip.transformer.bert."): #HunyuanDiT Lora
+                l_key = k[len("hydit_clip.transformer.bert."):-len(".weight")]
+                lora_key = "lora_te1_{}".format(l_key.replace(".", "_"))
+                key_map[lora_key] = k
+
+
+    k = "clip_g.transformer.text_projection.weight"
+    if k in sdk:
+        key_map["lora_prior_te_text_projection"] = k #cascade lora?
+        # key_map["text_encoder.text_projection"] = k #TODO: check if other lora have the text_projection too
+        key_map["lora_te2_text_projection"] = k #OneTrainer SD3 lora
+
+    k = "clip_l.transformer.text_projection.weight"
+    if k in sdk:
+        key_map["lora_te1_text_projection"] = k #OneTrainer SD3 lora, not necessary but omits warning
+
+    return key_map
+
+def model_lora_keys_unet(model, key_map={}):
+    sd = model.state_dict()
+    sdk = sd.keys()
+
+    for k in sdk:
+        if k.startswith("diffusion_model.") and k.endswith(".weight"):
+            key_lora = k[len("diffusion_model."):-len(".weight")].replace(".", "_")
+            key_map["lora_unet_{}".format(key_lora)] = k
+            key_map["lora_prior_unet_{}".format(key_lora)] = k #cascade lora: TODO put lora key prefix in the model config
+            key_map["{}".format(k[:-len(".weight")])] = k #generic lora format without any weird key names
+
+    diffusers_keys = comfy.utils.unet_to_diffusers(model.model_config.unet_config)
+    for k in diffusers_keys:
+        if k.endswith(".weight"):
+            unet_key = "diffusion_model.{}".format(diffusers_keys[k])
+            key_lora = k[:-len(".weight")].replace(".", "_")
+            key_map["lora_unet_{}".format(key_lora)] = unet_key
+
+            diffusers_lora_prefix = ["", "unet."]
+            for p in diffusers_lora_prefix:
+                diffusers_lora_key = "{}{}".format(p, k[:-len(".weight")].replace(".to_", ".processor.to_"))
+                if diffusers_lora_key.endswith(".to_out.0"):
+                    diffusers_lora_key = diffusers_lora_key[:-2]
+                key_map[diffusers_lora_key] = unet_key
+
+    if isinstance(model, comfy.model_base.SD3): #Diffusers lora SD3
+        diffusers_keys = comfy.utils.mmdit_to_diffusers(model.model_config.unet_config, output_prefix="diffusion_model.")
+        for k in diffusers_keys:
+            if k.endswith(".weight"):
+                to = diffusers_keys[k]
+                key_lora = "transformer.{}".format(k[:-len(".weight")]) #regular diffusers sd3 lora format
+                key_map[key_lora] = to
+
+                key_lora = "base_model.model.{}".format(k[:-len(".weight")]) #format for flash-sd3 lora and others?
+                key_map[key_lora] = to
+
+                key_lora = "lora_transformer_{}".format(k[:-len(".weight")].replace(".", "_")) #OneTrainer lora
+                key_map[key_lora] = to
+
+    if isinstance(model, comfy.model_base.AuraFlow): #Diffusers lora AuraFlow
+        diffusers_keys = comfy.utils.auraflow_to_diffusers(model.model_config.unet_config, output_prefix="diffusion_model.")
+        for k in diffusers_keys:
+            if k.endswith(".weight"):
+                to = diffusers_keys[k]
+                key_lora = "transformer.{}".format(k[:-len(".weight")]) #simpletrainer and probably regular diffusers lora format
+                key_map[key_lora] = to
+
+    if isinstance(model, comfy.model_base.HunyuanDiT):
+        for k in sdk:
+            if k.startswith("diffusion_model.") and k.endswith(".weight"):
+                key_lora = k[len("diffusion_model."):-len(".weight")]
+                key_map["base_model.model.{}".format(key_lora)] = k #official hunyuan lora format
+
+    if isinstance(model, comfy.model_base.Flux): #Diffusers lora Flux
+        diffusers_keys = comfy.utils.flux_to_diffusers(model.model_config.unet_config, output_prefix="diffusion_model.")
+        for k in diffusers_keys:
+            if k.endswith(".weight"):
+                to = diffusers_keys[k]
+                key_map["transformer.{}".format(k[:-len(".weight")])] = to #simpletrainer and probably regular diffusers flux lora format
+                key_map["lycoris_{}".format(k[:-len(".weight")].replace(".", "_"))] = to #simpletrainer lycoris
+                key_map["lora_transformer_{}".format(k[:-len(".weight")].replace(".", "_"))] = to #onetrainer
+
+    return key_map
+
+
+def weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype):
+    dora_scale = comfy.model_management.cast_to_device(dora_scale, weight.device, intermediate_dtype)
+    lora_diff *= alpha
+    weight_calc = weight + lora_diff.type(weight.dtype)
+    weight_norm = (
+        weight_calc.transpose(0, 1)
+        .reshape(weight_calc.shape[1], -1)
+        .norm(dim=1, keepdim=True)
+        .reshape(weight_calc.shape[1], *[1] * (weight_calc.dim() - 1))
+        .transpose(0, 1)
+    )
+
+    weight_calc *= (dora_scale / weight_norm).type(weight.dtype)
+    if strength != 1.0:
+        weight_calc -= weight
+        weight += strength * (weight_calc)
+    else:
+        weight[:] = weight_calc
+    return weight
+
+def pad_tensor_to_shape(tensor: torch.Tensor, new_shape: list[int]) -> torch.Tensor:
+    """
+    Pad a tensor to a new shape with zeros.
+
+    Args:
+        tensor (torch.Tensor): The original tensor to be padded.
+        new_shape (List[int]): The desired shape of the padded tensor.
+
+    Returns:
+        torch.Tensor: A new tensor padded with zeros to the specified shape.
+
+    Note:
+        If the new shape is smaller than the original tensor in any dimension,
+        the original tensor will be truncated in that dimension.
+    """
+    if any([new_shape[i] < tensor.shape[i] for i in range(len(new_shape))]):
+        raise ValueError("The new shape must be larger than the original tensor in all dimensions")
+
+    if len(new_shape) != len(tensor.shape):
+        raise ValueError("The new shape must have the same number of dimensions as the original tensor")
+
+    # Create a new tensor filled with zeros
+    padded_tensor = torch.zeros(new_shape, dtype=tensor.dtype, device=tensor.device)
+
+    # Create slicing tuples for both tensors
+    orig_slices = tuple(slice(0, dim) for dim in tensor.shape)
+    new_slices = tuple(slice(0, dim) for dim in tensor.shape)
+
+    # Copy the original tensor into the new tensor
+    padded_tensor[new_slices] = tensor[orig_slices]
+
+    return padded_tensor
+
+def calculate_weight(patches, weight, key, intermediate_dtype=torch.float32):
+    for p in patches:
+        strength = p[0]
+        v = p[1]
+        strength_model = p[2]
+        offset = p[3]
+        function = p[4]
+        if function is None:
+            function = lambda a: a
+
+        old_weight = None
+        if offset is not None:
+            old_weight = weight
+            weight = weight.narrow(offset[0], offset[1], offset[2])
+
+        if strength_model != 1.0:
+            weight *= strength_model
+
+        if isinstance(v, list):
+            v = (calculate_weight(v[1:], v[0].clone(), key, intermediate_dtype=intermediate_dtype), )
+
+        if len(v) == 1:
+            patch_type = "diff"
+        elif len(v) == 2:
+            patch_type = v[0]
+            v = v[1]
+
+        if patch_type == "diff":
+            diff: torch.Tensor = v[0]
+            # An extra flag to pad the weight if the diff's shape is larger than the weight
+            do_pad_weight = len(v) > 1 and v[1]['pad_weight']
+            if do_pad_weight and diff.shape != weight.shape:
+                logging.info("Pad weight {} from {} to shape: {}".format(key, weight.shape, diff.shape))
+                weight = pad_tensor_to_shape(weight, diff.shape)
+
+            if strength != 0.0:
+                if diff.shape != weight.shape:
+                    logging.warning("WARNING SHAPE MISMATCH {} WEIGHT NOT MERGED {} != {}".format(key, diff.shape, weight.shape))
+                else:
+                    weight += function(strength * comfy.model_management.cast_to_device(diff, weight.device, weight.dtype))
+        elif patch_type == "lora": #lora/locon
+            mat1 = comfy.model_management.cast_to_device(v[0], weight.device, intermediate_dtype)
+            mat2 = comfy.model_management.cast_to_device(v[1], weight.device, intermediate_dtype)
+            dora_scale = v[4]
+            if v[2] is not None:
+                alpha = v[2] / mat2.shape[0]
+            else:
+                alpha = 1.0
+
+            if v[3] is not None:
+                #locon mid weights, hopefully the math is fine because I didn't properly test it
+                mat3 = comfy.model_management.cast_to_device(v[3], weight.device, intermediate_dtype)
+                final_shape = [mat2.shape[1], mat2.shape[0], mat3.shape[2], mat3.shape[3]]
+                mat2 = torch.mm(mat2.transpose(0, 1).flatten(start_dim=1), mat3.transpose(0, 1).flatten(start_dim=1)).reshape(final_shape).transpose(0, 1)
+            try:
+                lora_diff = torch.mm(mat1.flatten(start_dim=1), mat2.flatten(start_dim=1)).reshape(weight.shape)
+                if dora_scale is not None:
+                    weight = function(weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype))
+                else:
+                    weight += function(((strength * alpha) * lora_diff).type(weight.dtype))
+            except Exception as e:
+                logging.error("ERROR {} {} {}".format(patch_type, key, e))
+        elif patch_type == "lokr":
+            w1 = v[0]
+            w2 = v[1]
+            w1_a = v[3]
+            w1_b = v[4]
+            w2_a = v[5]
+            w2_b = v[6]
+            t2 = v[7]
+            dora_scale = v[8]
+            dim = None
+
+            if w1 is None:
+                dim = w1_b.shape[0]
+                w1 = torch.mm(comfy.model_management.cast_to_device(w1_a, weight.device, intermediate_dtype),
+                                comfy.model_management.cast_to_device(w1_b, weight.device, intermediate_dtype))
+            else:
+                w1 = comfy.model_management.cast_to_device(w1, weight.device, intermediate_dtype)
+
+            if w2 is None:
+                dim = w2_b.shape[0]
+                if t2 is None:
+                    w2 = torch.mm(comfy.model_management.cast_to_device(w2_a, weight.device, intermediate_dtype),
+                                    comfy.model_management.cast_to_device(w2_b, weight.device, intermediate_dtype))
+                else:
+                    w2 = torch.einsum('i j k l, j r, i p -> p r k l',
+                                        comfy.model_management.cast_to_device(t2, weight.device, intermediate_dtype),
+                                        comfy.model_management.cast_to_device(w2_b, weight.device, intermediate_dtype),
+                                        comfy.model_management.cast_to_device(w2_a, weight.device, intermediate_dtype))
+            else:
+                w2 = comfy.model_management.cast_to_device(w2, weight.device, intermediate_dtype)
+
+            if len(w2.shape) == 4:
+                w1 = w1.unsqueeze(2).unsqueeze(2)
+            if v[2] is not None and dim is not None:
+                alpha = v[2] / dim
+            else:
+                alpha = 1.0
+
+            try:
+                lora_diff = torch.kron(w1, w2).reshape(weight.shape)
+                if dora_scale is not None:
+                    weight = function(weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype))
+                else:
+                    weight += function(((strength * alpha) * lora_diff).type(weight.dtype))
+            except Exception as e:
+                logging.error("ERROR {} {} {}".format(patch_type, key, e))
+        elif patch_type == "loha":
+            w1a = v[0]
+            w1b = v[1]
+            if v[2] is not None:
+                alpha = v[2] / w1b.shape[0]
+            else:
+                alpha = 1.0
+
+            w2a = v[3]
+            w2b = v[4]
+            dora_scale = v[7]
+            if v[5] is not None: #cp decomposition
+                t1 = v[5]
+                t2 = v[6]
+                m1 = torch.einsum('i j k l, j r, i p -> p r k l',
+                                    comfy.model_management.cast_to_device(t1, weight.device, intermediate_dtype),
+                                    comfy.model_management.cast_to_device(w1b, weight.device, intermediate_dtype),
+                                    comfy.model_management.cast_to_device(w1a, weight.device, intermediate_dtype))
+
+                m2 = torch.einsum('i j k l, j r, i p -> p r k l',
+                                    comfy.model_management.cast_to_device(t2, weight.device, intermediate_dtype),
+                                    comfy.model_management.cast_to_device(w2b, weight.device, intermediate_dtype),
+                                    comfy.model_management.cast_to_device(w2a, weight.device, intermediate_dtype))
+            else:
+                m1 = torch.mm(comfy.model_management.cast_to_device(w1a, weight.device, intermediate_dtype),
+                                comfy.model_management.cast_to_device(w1b, weight.device, intermediate_dtype))
+                m2 = torch.mm(comfy.model_management.cast_to_device(w2a, weight.device, intermediate_dtype),
+                                comfy.model_management.cast_to_device(w2b, weight.device, intermediate_dtype))
+
+            try:
+                lora_diff = (m1 * m2).reshape(weight.shape)
+                if dora_scale is not None:
+                    weight = function(weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype))
+                else:
+                    weight += function(((strength * alpha) * lora_diff).type(weight.dtype))
+            except Exception as e:
+                logging.error("ERROR {} {} {}".format(patch_type, key, e))
+        elif patch_type == "glora":
+            if v[4] is not None:
+                alpha = v[4] / v[0].shape[0]
+            else:
+                alpha = 1.0
+
+            dora_scale = v[5]
+
+            a1 = comfy.model_management.cast_to_device(v[0].flatten(start_dim=1), weight.device, intermediate_dtype)
+            a2 = comfy.model_management.cast_to_device(v[1].flatten(start_dim=1), weight.device, intermediate_dtype)
+            b1 = comfy.model_management.cast_to_device(v[2].flatten(start_dim=1), weight.device, intermediate_dtype)
+            b2 = comfy.model_management.cast_to_device(v[3].flatten(start_dim=1), weight.device, intermediate_dtype)
+
+            try:
+                lora_diff = (torch.mm(b2, b1) + torch.mm(torch.mm(weight.flatten(start_dim=1).to(dtype=intermediate_dtype), a2), a1)).reshape(weight.shape)
+                if dora_scale is not None:
+                    weight = function(weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype))
+                else:
+                    weight += function(((strength * alpha) * lora_diff).type(weight.dtype))
+            except Exception as e:
+                logging.error("ERROR {} {} {}".format(patch_type, key, e))
+        else:
+            logging.warning("patch type not recognized {} {}".format(patch_type, key))
+
+        if old_weight is not None:
+            weight = old_weight
+
+    return weight
diff --git a/ComfyUI/comfy/model_base.py b/ComfyUI/comfy/model_base.py
new file mode 100644
index 0000000000000000000000000000000000000000..9bfdb3b3e3cf33b647a4bf01a234fd93aee51514
--- /dev/null
+++ b/ComfyUI/comfy/model_base.py
@@ -0,0 +1,715 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Comfy
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import torch
+import logging
+from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep
+from comfy.ldm.cascade.stage_c import StageC
+from comfy.ldm.cascade.stage_b import StageB
+from comfy.ldm.modules.encoders.noise_aug_modules import CLIPEmbeddingNoiseAugmentation
+from comfy.ldm.modules.diffusionmodules.upscaling import ImageConcatWithNoiseAugmentation
+from comfy.ldm.modules.diffusionmodules.mmdit import OpenAISignatureMMDITWrapper
+import comfy.ldm.aura.mmdit
+import comfy.ldm.hydit.models
+import comfy.ldm.audio.dit
+import comfy.ldm.audio.embedders
+import comfy.ldm.flux.model
+
+import comfy.model_management
+import comfy.conds
+import comfy.ops
+from enum import Enum
+from . import utils
+import comfy.latent_formats
+import math
+
+class ModelType(Enum):
+    EPS = 1
+    V_PREDICTION = 2
+    V_PREDICTION_EDM = 3
+    STABLE_CASCADE = 4
+    EDM = 5
+    FLOW = 6
+    V_PREDICTION_CONTINUOUS = 7
+    FLUX = 8
+
+
+from comfy.model_sampling import EPS, V_PREDICTION, EDM, ModelSamplingDiscrete, ModelSamplingContinuousEDM, StableCascadeSampling, ModelSamplingContinuousV
+
+
+def model_sampling(model_config, model_type):
+    s = ModelSamplingDiscrete
+
+    if model_type == ModelType.EPS:
+        c = EPS
+    elif model_type == ModelType.V_PREDICTION:
+        c = V_PREDICTION
+    elif model_type == ModelType.V_PREDICTION_EDM:
+        c = V_PREDICTION
+        s = ModelSamplingContinuousEDM
+    elif model_type == ModelType.FLOW:
+        c = comfy.model_sampling.CONST
+        s = comfy.model_sampling.ModelSamplingDiscreteFlow
+    elif model_type == ModelType.STABLE_CASCADE:
+        c = EPS
+        s = StableCascadeSampling
+    elif model_type == ModelType.EDM:
+        c = EDM
+        s = ModelSamplingContinuousEDM
+    elif model_type == ModelType.V_PREDICTION_CONTINUOUS:
+        c = V_PREDICTION
+        s = ModelSamplingContinuousV
+    elif model_type == ModelType.FLUX:
+        c = comfy.model_sampling.CONST
+        s = comfy.model_sampling.ModelSamplingFlux
+
+    class ModelSampling(s, c):
+        pass
+
+    return ModelSampling(model_config)
+
+
+class BaseModel(torch.nn.Module):
+    def __init__(self, model_config, model_type=ModelType.EPS, device=None, unet_model=UNetModel):
+        super().__init__()
+
+        unet_config = model_config.unet_config
+        self.latent_format = model_config.latent_format
+        self.model_config = model_config
+        self.manual_cast_dtype = model_config.manual_cast_dtype
+        self.device = device
+
+        if not unet_config.get("disable_unet_model_creation", False):
+            if model_config.custom_operations is None:
+                operations = comfy.ops.pick_operations(unet_config.get("dtype", None), self.manual_cast_dtype)
+            else:
+                operations = model_config.custom_operations
+            self.diffusion_model = unet_model(**unet_config, device=device, operations=operations)
+            if comfy.model_management.force_channels_last():
+                self.diffusion_model.to(memory_format=torch.channels_last)
+                logging.debug("using channels last mode for diffusion model")
+            logging.info("model weight dtype {}, manual cast: {}".format(self.get_dtype(), self.manual_cast_dtype))
+        self.model_type = model_type
+        self.model_sampling = model_sampling(model_config, model_type)
+
+        self.adm_channels = unet_config.get("adm_in_channels", None)
+        if self.adm_channels is None:
+            self.adm_channels = 0
+
+        self.concat_keys = ()
+        logging.info("model_type {}".format(model_type.name))
+        logging.debug("adm {}".format(self.adm_channels))
+        self.memory_usage_factor = model_config.memory_usage_factor
+
+    def apply_model(self, x, t, c_concat=None, c_crossattn=None, control=None, transformer_options={}, **kwargs):
+        sigma = t
+        xc = self.model_sampling.calculate_input(sigma, x)
+        if c_concat is not None:
+            xc = torch.cat([xc] + [c_concat], dim=1)
+
+        context = c_crossattn
+        dtype = self.get_dtype()
+
+        if self.manual_cast_dtype is not None:
+            dtype = self.manual_cast_dtype
+
+        xc = xc.to(dtype)
+        t = self.model_sampling.timestep(t).float()
+        context = context.to(dtype)
+        extra_conds = {}
+        for o in kwargs:
+            extra = kwargs[o]
+            if hasattr(extra, "dtype"):
+                if extra.dtype != torch.int and extra.dtype != torch.long:
+                    extra = extra.to(dtype)
+            extra_conds[o] = extra
+
+        model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
+        return self.model_sampling.calculate_denoised(sigma, model_output, x)
+
+    def get_dtype(self):
+        return self.diffusion_model.dtype
+
+    def is_adm(self):
+        return self.adm_channels > 0
+
+    def encode_adm(self, **kwargs):
+        return None
+
+    def extra_conds(self, **kwargs):
+        out = {}
+        if len(self.concat_keys) > 0:
+            cond_concat = []
+            denoise_mask = kwargs.get("concat_mask", kwargs.get("denoise_mask", None))
+            concat_latent_image = kwargs.get("concat_latent_image", None)
+            if concat_latent_image is None:
+                concat_latent_image = kwargs.get("latent_image", None)
+            else:
+                concat_latent_image = self.process_latent_in(concat_latent_image)
+
+            noise = kwargs.get("noise", None)
+            device = kwargs["device"]
+
+            if concat_latent_image.shape[1:] != noise.shape[1:]:
+                concat_latent_image = utils.common_upscale(concat_latent_image, noise.shape[-1], noise.shape[-2], "bilinear", "center")
+
+            concat_latent_image = utils.resize_to_batch_size(concat_latent_image, noise.shape[0])
+
+            if denoise_mask is not None:
+                if len(denoise_mask.shape) == len(noise.shape):
+                    denoise_mask = denoise_mask[:,:1]
+
+                denoise_mask = denoise_mask.reshape((-1, 1, denoise_mask.shape[-2], denoise_mask.shape[-1]))
+                if denoise_mask.shape[-2:] != noise.shape[-2:]:
+                    denoise_mask = utils.common_upscale(denoise_mask, noise.shape[-1], noise.shape[-2], "bilinear", "center")
+                denoise_mask = utils.resize_to_batch_size(denoise_mask.round(), noise.shape[0])
+
+            for ck in self.concat_keys:
+                if denoise_mask is not None:
+                    if ck == "mask":
+                        cond_concat.append(denoise_mask.to(device))
+                    elif ck == "masked_image":
+                        cond_concat.append(concat_latent_image.to(device)) #NOTE: the latent_image should be masked by the mask in pixel space
+                else:
+                    if ck == "mask":
+                        cond_concat.append(torch.ones_like(noise)[:,:1])
+                    elif ck == "masked_image":
+                        cond_concat.append(self.blank_inpaint_image_like(noise))
+            data = torch.cat(cond_concat, dim=1)
+            out['c_concat'] = comfy.conds.CONDNoiseShape(data)
+
+        adm = self.encode_adm(**kwargs)
+        if adm is not None:
+            out['y'] = comfy.conds.CONDRegular(adm)
+
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            out['c_crossattn'] = comfy.conds.CONDCrossAttn(cross_attn)
+
+        cross_attn_cnet = kwargs.get("cross_attn_controlnet", None)
+        if cross_attn_cnet is not None:
+            out['crossattn_controlnet'] = comfy.conds.CONDCrossAttn(cross_attn_cnet)
+
+        c_concat = kwargs.get("noise_concat", None)
+        if c_concat is not None:
+            out['c_concat'] = comfy.conds.CONDNoiseShape(c_concat)
+
+        return out
+
+    def load_model_weights(self, sd, unet_prefix=""):
+        to_load = {}
+        keys = list(sd.keys())
+        for k in keys:
+            if k.startswith(unet_prefix):
+                to_load[k[len(unet_prefix):]] = sd.pop(k)
+
+        to_load = self.model_config.process_unet_state_dict(to_load)
+        m, u = self.diffusion_model.load_state_dict(to_load, strict=False)
+        if len(m) > 0:
+            logging.warning("unet missing: {}".format(m))
+
+        if len(u) > 0:
+            logging.warning("unet unexpected: {}".format(u))
+        del to_load
+        return self
+
+    def process_latent_in(self, latent):
+        return self.latent_format.process_in(latent)
+
+    def process_latent_out(self, latent):
+        return self.latent_format.process_out(latent)
+
+    def state_dict_for_saving(self, clip_state_dict=None, vae_state_dict=None, clip_vision_state_dict=None):
+        extra_sds = []
+        if clip_state_dict is not None:
+            extra_sds.append(self.model_config.process_clip_state_dict_for_saving(clip_state_dict))
+        if vae_state_dict is not None:
+            extra_sds.append(self.model_config.process_vae_state_dict_for_saving(vae_state_dict))
+        if clip_vision_state_dict is not None:
+            extra_sds.append(self.model_config.process_clip_vision_state_dict_for_saving(clip_vision_state_dict))
+
+        unet_state_dict = self.diffusion_model.state_dict()
+        unet_state_dict = self.model_config.process_unet_state_dict_for_saving(unet_state_dict)
+
+        if self.model_type == ModelType.V_PREDICTION:
+            unet_state_dict["v_pred"] = torch.tensor([])
+
+        for sd in extra_sds:
+            unet_state_dict.update(sd)
+
+        return unet_state_dict
+
+    def set_inpaint(self):
+        self.concat_keys = ("mask", "masked_image")
+        def blank_inpaint_image_like(latent_image):
+            blank_image = torch.ones_like(latent_image)
+            # these are the values for "zero" in pixel space translated to latent space
+            blank_image[:,0] *= 0.8223
+            blank_image[:,1] *= -0.6876
+            blank_image[:,2] *= 0.6364
+            blank_image[:,3] *= 0.1380
+            return blank_image
+        self.blank_inpaint_image_like = blank_inpaint_image_like
+
+    def memory_required(self, input_shape):
+        if comfy.model_management.xformers_enabled() or comfy.model_management.pytorch_attention_flash_attention():
+            dtype = self.get_dtype()
+            if self.manual_cast_dtype is not None:
+                dtype = self.manual_cast_dtype
+            #TODO: this needs to be tweaked
+            area = input_shape[0] * math.prod(input_shape[2:])
+            return (area * comfy.model_management.dtype_size(dtype) * 0.01 * self.memory_usage_factor) * (1024 * 1024)
+        else:
+            #TODO: this formula might be too aggressive since I tweaked the sub-quad and split algorithms to use less memory.
+            area = input_shape[0] * math.prod(input_shape[2:])
+            return (area * 0.15 * self.memory_usage_factor) * (1024 * 1024)
+
+
+def unclip_adm(unclip_conditioning, device, noise_augmentor, noise_augment_merge=0.0, seed=None):
+    adm_inputs = []
+    weights = []
+    noise_aug = []
+    for unclip_cond in unclip_conditioning:
+        for adm_cond in unclip_cond["clip_vision_output"].image_embeds:
+            weight = unclip_cond["strength"]
+            noise_augment = unclip_cond["noise_augmentation"]
+            noise_level = round((noise_augmentor.max_noise_level - 1) * noise_augment)
+            c_adm, noise_level_emb = noise_augmentor(adm_cond.to(device), noise_level=torch.tensor([noise_level], device=device), seed=seed)
+            adm_out = torch.cat((c_adm, noise_level_emb), 1) * weight
+            weights.append(weight)
+            noise_aug.append(noise_augment)
+            adm_inputs.append(adm_out)
+
+    if len(noise_aug) > 1:
+        adm_out = torch.stack(adm_inputs).sum(0)
+        noise_augment = noise_augment_merge
+        noise_level = round((noise_augmentor.max_noise_level - 1) * noise_augment)
+        c_adm, noise_level_emb = noise_augmentor(adm_out[:, :noise_augmentor.time_embed.dim], noise_level=torch.tensor([noise_level], device=device))
+        adm_out = torch.cat((c_adm, noise_level_emb), 1)
+
+    return adm_out
+
+class SD21UNCLIP(BaseModel):
+    def __init__(self, model_config, noise_aug_config, model_type=ModelType.V_PREDICTION, device=None):
+        super().__init__(model_config, model_type, device=device)
+        self.noise_augmentor = CLIPEmbeddingNoiseAugmentation(**noise_aug_config)
+
+    def encode_adm(self, **kwargs):
+        unclip_conditioning = kwargs.get("unclip_conditioning", None)
+        device = kwargs["device"]
+        if unclip_conditioning is None:
+            return torch.zeros((1, self.adm_channels))
+        else:
+            return unclip_adm(unclip_conditioning, device, self.noise_augmentor, kwargs.get("unclip_noise_augment_merge", 0.05), kwargs.get("seed", 0) - 10)
+
+def sdxl_pooled(args, noise_augmentor):
+    if "unclip_conditioning" in args:
+        return unclip_adm(args.get("unclip_conditioning", None), args["device"], noise_augmentor, seed=args.get("seed", 0) - 10)[:,:1280]
+    else:
+        return args["pooled_output"]
+
+class SDXLRefiner(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.EPS, device=None):
+        super().__init__(model_config, model_type, device=device)
+        self.embedder = Timestep(256)
+        self.noise_augmentor = CLIPEmbeddingNoiseAugmentation(**{"noise_schedule_config": {"timesteps": 1000, "beta_schedule": "squaredcos_cap_v2"}, "timestep_dim": 1280})
+
+    def encode_adm(self, **kwargs):
+        clip_pooled = sdxl_pooled(kwargs, self.noise_augmentor)
+        width = kwargs.get("width", 768)
+        height = kwargs.get("height", 768)
+        crop_w = kwargs.get("crop_w", 0)
+        crop_h = kwargs.get("crop_h", 0)
+
+        if kwargs.get("prompt_type", "") == "negative":
+            aesthetic_score = kwargs.get("aesthetic_score", 2.5)
+        else:
+            aesthetic_score = kwargs.get("aesthetic_score", 6)
+
+        out = []
+        out.append(self.embedder(torch.Tensor([height])))
+        out.append(self.embedder(torch.Tensor([width])))
+        out.append(self.embedder(torch.Tensor([crop_h])))
+        out.append(self.embedder(torch.Tensor([crop_w])))
+        out.append(self.embedder(torch.Tensor([aesthetic_score])))
+        flat = torch.flatten(torch.cat(out)).unsqueeze(dim=0).repeat(clip_pooled.shape[0], 1)
+        return torch.cat((clip_pooled.to(flat.device), flat), dim=1)
+
+class SDXL(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.EPS, device=None):
+        super().__init__(model_config, model_type, device=device)
+        self.embedder = Timestep(256)
+        self.noise_augmentor = CLIPEmbeddingNoiseAugmentation(**{"noise_schedule_config": {"timesteps": 1000, "beta_schedule": "squaredcos_cap_v2"}, "timestep_dim": 1280})
+
+    def encode_adm(self, **kwargs):
+        clip_pooled = sdxl_pooled(kwargs, self.noise_augmentor)
+        width = kwargs.get("width", 768)
+        height = kwargs.get("height", 768)
+        crop_w = kwargs.get("crop_w", 0)
+        crop_h = kwargs.get("crop_h", 0)
+        target_width = kwargs.get("target_width", width)
+        target_height = kwargs.get("target_height", height)
+
+        out = []
+        out.append(self.embedder(torch.Tensor([height])))
+        out.append(self.embedder(torch.Tensor([width])))
+        out.append(self.embedder(torch.Tensor([crop_h])))
+        out.append(self.embedder(torch.Tensor([crop_w])))
+        out.append(self.embedder(torch.Tensor([target_height])))
+        out.append(self.embedder(torch.Tensor([target_width])))
+        flat = torch.flatten(torch.cat(out)).unsqueeze(dim=0).repeat(clip_pooled.shape[0], 1)
+        return torch.cat((clip_pooled.to(flat.device), flat), dim=1)
+
+
+class SVD_img2vid(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.V_PREDICTION_EDM, device=None):
+        super().__init__(model_config, model_type, device=device)
+        self.embedder = Timestep(256)
+
+    def encode_adm(self, **kwargs):
+        fps_id = kwargs.get("fps", 6) - 1
+        motion_bucket_id = kwargs.get("motion_bucket_id", 127)
+        augmentation = kwargs.get("augmentation_level", 0)
+
+        out = []
+        out.append(self.embedder(torch.Tensor([fps_id])))
+        out.append(self.embedder(torch.Tensor([motion_bucket_id])))
+        out.append(self.embedder(torch.Tensor([augmentation])))
+
+        flat = torch.flatten(torch.cat(out)).unsqueeze(dim=0)
+        return flat
+
+    def extra_conds(self, **kwargs):
+        out = {}
+        adm = self.encode_adm(**kwargs)
+        if adm is not None:
+            out['y'] = comfy.conds.CONDRegular(adm)
+
+        latent_image = kwargs.get("concat_latent_image", None)
+        noise = kwargs.get("noise", None)
+        device = kwargs["device"]
+
+        if latent_image is None:
+            latent_image = torch.zeros_like(noise)
+
+        if latent_image.shape[1:] != noise.shape[1:]:
+            latent_image = utils.common_upscale(latent_image, noise.shape[-1], noise.shape[-2], "bilinear", "center")
+
+        latent_image = utils.resize_to_batch_size(latent_image, noise.shape[0])
+
+        out['c_concat'] = comfy.conds.CONDNoiseShape(latent_image)
+
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            out['c_crossattn'] = comfy.conds.CONDCrossAttn(cross_attn)
+
+        if "time_conditioning" in kwargs:
+            out["time_context"] = comfy.conds.CONDCrossAttn(kwargs["time_conditioning"])
+
+        out['num_video_frames'] = comfy.conds.CONDConstant(noise.shape[0])
+        return out
+
+class SV3D_u(SVD_img2vid):
+    def encode_adm(self, **kwargs):
+        augmentation = kwargs.get("augmentation_level", 0)
+
+        out = []
+        out.append(self.embedder(torch.flatten(torch.Tensor([augmentation]))))
+
+        flat = torch.flatten(torch.cat(out)).unsqueeze(dim=0)
+        return flat
+
+class SV3D_p(SVD_img2vid):
+    def __init__(self, model_config, model_type=ModelType.V_PREDICTION_EDM, device=None):
+        super().__init__(model_config, model_type, device=device)
+        self.embedder_512 = Timestep(512)
+
+    def encode_adm(self, **kwargs):
+        augmentation = kwargs.get("augmentation_level", 0)
+        elevation = kwargs.get("elevation", 0) #elevation and azimuth are in degrees here
+        azimuth = kwargs.get("azimuth", 0)
+        noise = kwargs.get("noise", None)
+
+        out = []
+        out.append(self.embedder(torch.flatten(torch.Tensor([augmentation]))))
+        out.append(self.embedder_512(torch.deg2rad(torch.fmod(torch.flatten(90 - torch.Tensor([elevation])), 360.0))))
+        out.append(self.embedder_512(torch.deg2rad(torch.fmod(torch.flatten(torch.Tensor([azimuth])), 360.0))))
+
+        out = list(map(lambda a: utils.resize_to_batch_size(a, noise.shape[0]), out))
+        return torch.cat(out, dim=1)
+
+
+class Stable_Zero123(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.EPS, device=None, cc_projection_weight=None, cc_projection_bias=None):
+        super().__init__(model_config, model_type, device=device)
+        self.cc_projection = comfy.ops.manual_cast.Linear(cc_projection_weight.shape[1], cc_projection_weight.shape[0], dtype=self.get_dtype(), device=device)
+        self.cc_projection.weight.copy_(cc_projection_weight)
+        self.cc_projection.bias.copy_(cc_projection_bias)
+
+    def extra_conds(self, **kwargs):
+        out = {}
+
+        latent_image = kwargs.get("concat_latent_image", None)
+        noise = kwargs.get("noise", None)
+
+        if latent_image is None:
+            latent_image = torch.zeros_like(noise)
+
+        if latent_image.shape[1:] != noise.shape[1:]:
+            latent_image = utils.common_upscale(latent_image, noise.shape[-1], noise.shape[-2], "bilinear", "center")
+
+        latent_image = utils.resize_to_batch_size(latent_image, noise.shape[0])
+
+        out['c_concat'] = comfy.conds.CONDNoiseShape(latent_image)
+
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            if cross_attn.shape[-1] != 768:
+                cross_attn = self.cc_projection(cross_attn)
+            out['c_crossattn'] = comfy.conds.CONDCrossAttn(cross_attn)
+        return out
+
+class SD_X4Upscaler(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.V_PREDICTION, device=None):
+        super().__init__(model_config, model_type, device=device)
+        self.noise_augmentor = ImageConcatWithNoiseAugmentation(noise_schedule_config={"linear_start": 0.0001, "linear_end": 0.02}, max_noise_level=350)
+
+    def extra_conds(self, **kwargs):
+        out = {}
+
+        image = kwargs.get("concat_image", None)
+        noise = kwargs.get("noise", None)
+        noise_augment = kwargs.get("noise_augmentation", 0.0)
+        device = kwargs["device"]
+        seed = kwargs["seed"] - 10
+
+        noise_level = round((self.noise_augmentor.max_noise_level) * noise_augment)
+
+        if image is None:
+            image = torch.zeros_like(noise)[:,:3]
+
+        if image.shape[1:] != noise.shape[1:]:
+            image = utils.common_upscale(image.to(device), noise.shape[-1], noise.shape[-2], "bilinear", "center")
+
+        noise_level = torch.tensor([noise_level], device=device)
+        if noise_augment > 0:
+            image, noise_level = self.noise_augmentor(image.to(device), noise_level=noise_level, seed=seed)
+
+        image = utils.resize_to_batch_size(image, noise.shape[0])
+
+        out['c_concat'] = comfy.conds.CONDNoiseShape(image)
+        out['y'] = comfy.conds.CONDRegular(noise_level)
+        return out
+
+class IP2P:
+    def extra_conds(self, **kwargs):
+        out = {}
+
+        image = kwargs.get("concat_latent_image", None)
+        noise = kwargs.get("noise", None)
+        device = kwargs["device"]
+
+        if image is None:
+            image = torch.zeros_like(noise)
+
+        if image.shape[1:] != noise.shape[1:]:
+            image = utils.common_upscale(image.to(device), noise.shape[-1], noise.shape[-2], "bilinear", "center")
+
+        image = utils.resize_to_batch_size(image, noise.shape[0])
+
+        out['c_concat'] = comfy.conds.CONDNoiseShape(self.process_ip2p_image_in(image))
+        adm = self.encode_adm(**kwargs)
+        if adm is not None:
+            out['y'] = comfy.conds.CONDRegular(adm)
+        return out
+
+class SD15_instructpix2pix(IP2P, BaseModel):
+    def __init__(self, model_config, model_type=ModelType.EPS, device=None):
+        super().__init__(model_config, model_type, device=device)
+        self.process_ip2p_image_in = lambda image: image
+
+class SDXL_instructpix2pix(IP2P, SDXL):
+    def __init__(self, model_config, model_type=ModelType.EPS, device=None):
+        super().__init__(model_config, model_type, device=device)
+        if model_type == ModelType.V_PREDICTION_EDM:
+            self.process_ip2p_image_in = lambda image: comfy.latent_formats.SDXL().process_in(image) #cosxl ip2p
+        else:
+            self.process_ip2p_image_in = lambda image: image #diffusers ip2p
+
+
+class StableCascade_C(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.STABLE_CASCADE, device=None):
+        super().__init__(model_config, model_type, device=device, unet_model=StageC)
+        self.diffusion_model.eval().requires_grad_(False)
+
+    def extra_conds(self, **kwargs):
+        out = {}
+        clip_text_pooled = kwargs["pooled_output"]
+        if clip_text_pooled is not None:
+            out['clip_text_pooled'] = comfy.conds.CONDRegular(clip_text_pooled)
+
+        if "unclip_conditioning" in kwargs:
+            embeds = []
+            for unclip_cond in kwargs["unclip_conditioning"]:
+                weight = unclip_cond["strength"]
+                embeds.append(unclip_cond["clip_vision_output"].image_embeds.unsqueeze(0) * weight)
+            clip_img = torch.cat(embeds, dim=1)
+        else:
+            clip_img = torch.zeros((1, 1, 768))
+        out["clip_img"] = comfy.conds.CONDRegular(clip_img)
+        out["sca"] = comfy.conds.CONDRegular(torch.zeros((1,)))
+        out["crp"] = comfy.conds.CONDRegular(torch.zeros((1,)))
+
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            out['clip_text'] = comfy.conds.CONDCrossAttn(cross_attn)
+        return out
+
+
+class StableCascade_B(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.STABLE_CASCADE, device=None):
+        super().__init__(model_config, model_type, device=device, unet_model=StageB)
+        self.diffusion_model.eval().requires_grad_(False)
+
+    def extra_conds(self, **kwargs):
+        out = {}
+        noise = kwargs.get("noise", None)
+
+        clip_text_pooled = kwargs["pooled_output"]
+        if clip_text_pooled is not None:
+            out['clip'] = comfy.conds.CONDRegular(clip_text_pooled)
+
+        #size of prior doesn't really matter if zeros because it gets resized but I still want it to get batched
+        prior = kwargs.get("stable_cascade_prior", torch.zeros((1, 16, (noise.shape[2] * 4) // 42, (noise.shape[3] * 4) // 42), dtype=noise.dtype, layout=noise.layout, device=noise.device))
+
+        out["effnet"] = comfy.conds.CONDRegular(prior)
+        out["sca"] = comfy.conds.CONDRegular(torch.zeros((1,)))
+        return out
+
+
+class SD3(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.FLOW, device=None):
+        super().__init__(model_config, model_type, device=device, unet_model=OpenAISignatureMMDITWrapper)
+
+    def encode_adm(self, **kwargs):
+        return kwargs["pooled_output"]
+
+    def extra_conds(self, **kwargs):
+        out = super().extra_conds(**kwargs)
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn)
+        return out
+
+
+class AuraFlow(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.FLOW, device=None):
+        super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.aura.mmdit.MMDiT)
+
+    def extra_conds(self, **kwargs):
+        out = super().extra_conds(**kwargs)
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn)
+        return out
+
+
+class StableAudio1(BaseModel):
+    def __init__(self, model_config, seconds_start_embedder_weights, seconds_total_embedder_weights, model_type=ModelType.V_PREDICTION_CONTINUOUS, device=None):
+        super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.audio.dit.AudioDiffusionTransformer)
+        self.seconds_start_embedder = comfy.ldm.audio.embedders.NumberConditioner(768, min_val=0, max_val=512)
+        self.seconds_total_embedder = comfy.ldm.audio.embedders.NumberConditioner(768, min_val=0, max_val=512)
+        self.seconds_start_embedder.load_state_dict(seconds_start_embedder_weights)
+        self.seconds_total_embedder.load_state_dict(seconds_total_embedder_weights)
+
+    def extra_conds(self, **kwargs):
+        out = {}
+
+        noise = kwargs.get("noise", None)
+        device = kwargs["device"]
+
+        seconds_start = kwargs.get("seconds_start", 0)
+        seconds_total = kwargs.get("seconds_total", int(noise.shape[-1] / 21.53))
+
+        seconds_start_embed = self.seconds_start_embedder([seconds_start])[0].to(device)
+        seconds_total_embed = self.seconds_total_embedder([seconds_total])[0].to(device)
+
+        global_embed = torch.cat([seconds_start_embed, seconds_total_embed], dim=-1).reshape((1, -1))
+        out['global_embed'] = comfy.conds.CONDRegular(global_embed)
+
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            cross_attn = torch.cat([cross_attn.to(device), seconds_start_embed.repeat((cross_attn.shape[0], 1, 1)), seconds_total_embed.repeat((cross_attn.shape[0], 1, 1))], dim=1)
+            out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn)
+        return out
+
+    def state_dict_for_saving(self, clip_state_dict=None, vae_state_dict=None, clip_vision_state_dict=None):
+        sd = super().state_dict_for_saving(clip_state_dict=clip_state_dict, vae_state_dict=vae_state_dict, clip_vision_state_dict=clip_vision_state_dict)
+        d = {"conditioner.conditioners.seconds_start.": self.seconds_start_embedder.state_dict(), "conditioner.conditioners.seconds_total.": self.seconds_total_embedder.state_dict()}
+        for k in d:
+            s = d[k]
+            for l in s:
+                sd["{}{}".format(k, l)] = s[l]
+        return sd
+
+class HunyuanDiT(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.V_PREDICTION, device=None):
+        super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.hydit.models.HunYuanDiT)
+
+    def extra_conds(self, **kwargs):
+        out = super().extra_conds(**kwargs)
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn)
+
+        attention_mask = kwargs.get("attention_mask", None)
+        if attention_mask is not None:
+            out['text_embedding_mask'] = comfy.conds.CONDRegular(attention_mask)
+
+        conditioning_mt5xl = kwargs.get("conditioning_mt5xl", None)
+        if conditioning_mt5xl is not None:
+            out['encoder_hidden_states_t5'] = comfy.conds.CONDRegular(conditioning_mt5xl)
+
+        attention_mask_mt5xl = kwargs.get("attention_mask_mt5xl", None)
+        if attention_mask_mt5xl is not None:
+            out['text_embedding_mask_t5'] = comfy.conds.CONDRegular(attention_mask_mt5xl)
+
+        width = kwargs.get("width", 768)
+        height = kwargs.get("height", 768)
+        crop_w = kwargs.get("crop_w", 0)
+        crop_h = kwargs.get("crop_h", 0)
+        target_width = kwargs.get("target_width", width)
+        target_height = kwargs.get("target_height", height)
+
+        out['image_meta_size'] = comfy.conds.CONDRegular(torch.FloatTensor([[height, width, target_height, target_width, 0, 0]]))
+        return out
+
+class Flux(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.FLUX, device=None):
+        super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.flux.model.Flux)
+
+    def encode_adm(self, **kwargs):
+        return kwargs["pooled_output"]
+
+    def extra_conds(self, **kwargs):
+        out = super().extra_conds(**kwargs)
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn)
+        out['guidance'] = comfy.conds.CONDRegular(torch.FloatTensor([kwargs.get("guidance", 3.5)]))
+        return out
diff --git a/ComfyUI/comfy/model_detection.py b/ComfyUI/comfy/model_detection.py
new file mode 100644
index 0000000000000000000000000000000000000000..1edbcda4d0f28c992dd53c70499e54721bf9d082
--- /dev/null
+++ b/ComfyUI/comfy/model_detection.py
@@ -0,0 +1,553 @@
+import comfy.supported_models
+import comfy.supported_models_base
+import comfy.utils
+import math
+import logging
+import torch
+
+def count_blocks(state_dict_keys, prefix_string):
+    count = 0
+    while True:
+        c = False
+        for k in state_dict_keys:
+            if k.startswith(prefix_string.format(count)):
+                c = True
+                break
+        if c == False:
+            break
+        count += 1
+    return count
+
+def calculate_transformer_depth(prefix, state_dict_keys, state_dict):
+    context_dim = None
+    use_linear_in_transformer = False
+
+    transformer_prefix = prefix + "1.transformer_blocks."
+    transformer_keys = sorted(list(filter(lambda a: a.startswith(transformer_prefix), state_dict_keys)))
+    if len(transformer_keys) > 0:
+        last_transformer_depth = count_blocks(state_dict_keys, transformer_prefix + '{}')
+        context_dim = state_dict['{}0.attn2.to_k.weight'.format(transformer_prefix)].shape[1]
+        use_linear_in_transformer = len(state_dict['{}1.proj_in.weight'.format(prefix)].shape) == 2
+        time_stack = '{}1.time_stack.0.attn1.to_q.weight'.format(prefix) in state_dict or '{}1.time_mix_blocks.0.attn1.to_q.weight'.format(prefix) in state_dict
+        time_stack_cross = '{}1.time_stack.0.attn2.to_q.weight'.format(prefix) in state_dict or '{}1.time_mix_blocks.0.attn2.to_q.weight'.format(prefix) in state_dict
+        return last_transformer_depth, context_dim, use_linear_in_transformer, time_stack, time_stack_cross
+    return None
+
+def detect_unet_config(state_dict, key_prefix):
+    state_dict_keys = list(state_dict.keys())
+
+    if '{}joint_blocks.0.context_block.attn.qkv.weight'.format(key_prefix) in state_dict_keys: #mmdit model
+        unet_config = {}
+        unet_config["in_channels"] = state_dict['{}x_embedder.proj.weight'.format(key_prefix)].shape[1]
+        patch_size = state_dict['{}x_embedder.proj.weight'.format(key_prefix)].shape[2]
+        unet_config["patch_size"] = patch_size
+        final_layer = '{}final_layer.linear.weight'.format(key_prefix)
+        if final_layer in state_dict:
+            unet_config["out_channels"] = state_dict[final_layer].shape[0] // (patch_size * patch_size)
+
+        unet_config["depth"] = state_dict['{}x_embedder.proj.weight'.format(key_prefix)].shape[0] // 64
+        unet_config["input_size"] = None
+        y_key = '{}y_embedder.mlp.0.weight'.format(key_prefix)
+        if y_key in state_dict_keys:
+            unet_config["adm_in_channels"] = state_dict[y_key].shape[1]
+
+        context_key = '{}context_embedder.weight'.format(key_prefix)
+        if context_key in state_dict_keys:
+            in_features = state_dict[context_key].shape[1]
+            out_features = state_dict[context_key].shape[0]
+            unet_config["context_embedder_config"] = {"target": "torch.nn.Linear", "params": {"in_features": in_features, "out_features": out_features}}
+        num_patches_key = '{}pos_embed'.format(key_prefix)
+        if num_patches_key in state_dict_keys:
+            num_patches = state_dict[num_patches_key].shape[1]
+            unet_config["num_patches"] = num_patches
+            unet_config["pos_embed_max_size"] = round(math.sqrt(num_patches))
+
+        rms_qk = '{}joint_blocks.0.context_block.attn.ln_q.weight'.format(key_prefix)
+        if rms_qk in state_dict_keys:
+            unet_config["qk_norm"] = "rms"
+
+        unet_config["pos_embed_scaling_factor"] = None #unused for inference
+        context_processor = '{}context_processor.layers.0.attn.qkv.weight'.format(key_prefix)
+        if context_processor in state_dict_keys:
+            unet_config["context_processor_layers"] = count_blocks(state_dict_keys, '{}context_processor.layers.'.format(key_prefix) + '{}.')
+        return unet_config
+
+    if '{}clf.1.weight'.format(key_prefix) in state_dict_keys: #stable cascade
+        unet_config = {}
+        text_mapper_name = '{}clip_txt_mapper.weight'.format(key_prefix)
+        if text_mapper_name in state_dict_keys:
+            unet_config['stable_cascade_stage'] = 'c'
+            w = state_dict[text_mapper_name]
+            if w.shape[0] == 1536: #stage c lite
+                unet_config['c_cond'] = 1536
+                unet_config['c_hidden'] = [1536, 1536]
+                unet_config['nhead'] = [24, 24]
+                unet_config['blocks'] = [[4, 12], [12, 4]]
+            elif w.shape[0] == 2048: #stage c full
+                unet_config['c_cond'] = 2048
+        elif '{}clip_mapper.weight'.format(key_prefix) in state_dict_keys:
+            unet_config['stable_cascade_stage'] = 'b'
+            w = state_dict['{}down_blocks.1.0.channelwise.0.weight'.format(key_prefix)]
+            if w.shape[-1] == 640:
+                unet_config['c_hidden'] = [320, 640, 1280, 1280]
+                unet_config['nhead'] = [-1, -1, 20, 20]
+                unet_config['blocks'] = [[2, 6, 28, 6], [6, 28, 6, 2]]
+                unet_config['block_repeat'] = [[1, 1, 1, 1], [3, 3, 2, 2]]
+            elif w.shape[-1] == 576: #stage b lite
+                unet_config['c_hidden'] = [320, 576, 1152, 1152]
+                unet_config['nhead'] = [-1, 9, 18, 18]
+                unet_config['blocks'] = [[2, 4, 14, 4], [4, 14, 4, 2]]
+                unet_config['block_repeat'] = [[1, 1, 1, 1], [2, 2, 2, 2]]
+        return unet_config
+
+    if '{}transformer.rotary_pos_emb.inv_freq'.format(key_prefix) in state_dict_keys: #stable audio dit
+        unet_config = {}
+        unet_config["audio_model"] = "dit1.0"
+        return unet_config
+
+    if '{}double_layers.0.attn.w1q.weight'.format(key_prefix) in state_dict_keys: #aura flow dit
+        unet_config = {}
+        unet_config["max_seq"] = state_dict['{}positional_encoding'.format(key_prefix)].shape[1]
+        unet_config["cond_seq_dim"] = state_dict['{}cond_seq_linear.weight'.format(key_prefix)].shape[1]
+        double_layers = count_blocks(state_dict_keys, '{}double_layers.'.format(key_prefix) + '{}.')
+        single_layers = count_blocks(state_dict_keys, '{}single_layers.'.format(key_prefix) + '{}.')
+        unet_config["n_double_layers"] = double_layers
+        unet_config["n_layers"] = double_layers + single_layers
+        return unet_config
+
+    if '{}mlp_t5.0.weight'.format(key_prefix) in state_dict_keys: #Hunyuan DiT
+        unet_config = {}
+        unet_config["image_model"] = "hydit"
+        unet_config["depth"] = count_blocks(state_dict_keys, '{}blocks.'.format(key_prefix) + '{}.')
+        unet_config["hidden_size"] = state_dict['{}x_embedder.proj.weight'.format(key_prefix)].shape[0]
+        if unet_config["hidden_size"] == 1408 and unet_config["depth"] == 40: #DiT-g/2
+            unet_config["mlp_ratio"] = 4.3637
+        if state_dict['{}extra_embedder.0.weight'.format(key_prefix)].shape[1] == 3968:
+            unet_config["size_cond"] = True
+            unet_config["use_style_cond"] = True
+            unet_config["image_model"] = "hydit1"
+        return unet_config
+
+    if '{}double_blocks.0.img_attn.norm.key_norm.scale'.format(key_prefix) in state_dict_keys: #Flux
+        dit_config = {}
+        dit_config["image_model"] = "flux"
+        dit_config["in_channels"] = 16
+        dit_config["vec_in_dim"] = 768
+        dit_config["context_in_dim"] = 4096
+        dit_config["hidden_size"] = 3072
+        dit_config["mlp_ratio"] = 4.0
+        dit_config["num_heads"] = 24
+        dit_config["depth"] = count_blocks(state_dict_keys, '{}double_blocks.'.format(key_prefix) + '{}.')
+        dit_config["depth_single_blocks"] = count_blocks(state_dict_keys, '{}single_blocks.'.format(key_prefix) + '{}.')
+        dit_config["axes_dim"] = [16, 56, 56]
+        dit_config["theta"] = 10000
+        dit_config["qkv_bias"] = True
+        dit_config["guidance_embed"] = "{}guidance_in.in_layer.weight".format(key_prefix) in state_dict_keys
+        return dit_config
+
+    if '{}input_blocks.0.0.weight'.format(key_prefix) not in state_dict_keys:
+        return None
+
+    unet_config = {
+        "use_checkpoint": False,
+        "image_size": 32,
+        "use_spatial_transformer": True,
+        "legacy": False
+    }
+
+    y_input = '{}label_emb.0.0.weight'.format(key_prefix)
+    if y_input in state_dict_keys:
+        unet_config["num_classes"] = "sequential"
+        unet_config["adm_in_channels"] = state_dict[y_input].shape[1]
+    else:
+        unet_config["adm_in_channels"] = None
+
+    model_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[0]
+    in_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[1]
+
+    out_key = '{}out.2.weight'.format(key_prefix)
+    if out_key in state_dict:
+        out_channels = state_dict[out_key].shape[0]
+    else:
+        out_channels = 4
+
+    num_res_blocks = []
+    channel_mult = []
+    attention_resolutions = []
+    transformer_depth = []
+    transformer_depth_output = []
+    context_dim = None
+    use_linear_in_transformer = False
+
+    video_model = False
+    video_model_cross = False
+
+    current_res = 1
+    count = 0
+
+    last_res_blocks = 0
+    last_channel_mult = 0
+
+    input_block_count = count_blocks(state_dict_keys, '{}input_blocks'.format(key_prefix) + '.{}.')
+    for count in range(input_block_count):
+        prefix = '{}input_blocks.{}.'.format(key_prefix, count)
+        prefix_output = '{}output_blocks.{}.'.format(key_prefix, input_block_count - count - 1)
+
+        block_keys = sorted(list(filter(lambda a: a.startswith(prefix), state_dict_keys)))
+        if len(block_keys) == 0:
+            break
+
+        block_keys_output = sorted(list(filter(lambda a: a.startswith(prefix_output), state_dict_keys)))
+
+        if "{}0.op.weight".format(prefix) in block_keys: #new layer
+            num_res_blocks.append(last_res_blocks)
+            channel_mult.append(last_channel_mult)
+
+            current_res *= 2
+            last_res_blocks = 0
+            last_channel_mult = 0
+            out = calculate_transformer_depth(prefix_output, state_dict_keys, state_dict)
+            if out is not None:
+                transformer_depth_output.append(out[0])
+            else:
+                transformer_depth_output.append(0)
+        else:
+            res_block_prefix = "{}0.in_layers.0.weight".format(prefix)
+            if res_block_prefix in block_keys:
+                last_res_blocks += 1
+                last_channel_mult = state_dict["{}0.out_layers.3.weight".format(prefix)].shape[0] // model_channels
+
+                out = calculate_transformer_depth(prefix, state_dict_keys, state_dict)
+                if out is not None:
+                    transformer_depth.append(out[0])
+                    if context_dim is None:
+                        context_dim = out[1]
+                        use_linear_in_transformer = out[2]
+                        video_model = out[3]
+                        video_model_cross = out[4]
+                else:
+                    transformer_depth.append(0)
+
+            res_block_prefix = "{}0.in_layers.0.weight".format(prefix_output)
+            if res_block_prefix in block_keys_output:
+                out = calculate_transformer_depth(prefix_output, state_dict_keys, state_dict)
+                if out is not None:
+                    transformer_depth_output.append(out[0])
+                else:
+                    transformer_depth_output.append(0)
+
+
+    num_res_blocks.append(last_res_blocks)
+    channel_mult.append(last_channel_mult)
+    if "{}middle_block.1.proj_in.weight".format(key_prefix) in state_dict_keys:
+        transformer_depth_middle = count_blocks(state_dict_keys, '{}middle_block.1.transformer_blocks.'.format(key_prefix) + '{}')
+    elif "{}middle_block.0.in_layers.0.weight".format(key_prefix) in state_dict_keys:
+        transformer_depth_middle = -1
+    else:
+        transformer_depth_middle = -2
+
+    unet_config["in_channels"] = in_channels
+    unet_config["out_channels"] = out_channels
+    unet_config["model_channels"] = model_channels
+    unet_config["num_res_blocks"] = num_res_blocks
+    unet_config["transformer_depth"] = transformer_depth
+    unet_config["transformer_depth_output"] = transformer_depth_output
+    unet_config["channel_mult"] = channel_mult
+    unet_config["transformer_depth_middle"] = transformer_depth_middle
+    unet_config['use_linear_in_transformer'] = use_linear_in_transformer
+    unet_config["context_dim"] = context_dim
+
+    if video_model:
+        unet_config["extra_ff_mix_layer"] = True
+        unet_config["use_spatial_context"] = True
+        unet_config["merge_strategy"] = "learned_with_images"
+        unet_config["merge_factor"] = 0.0
+        unet_config["video_kernel_size"] = [3, 1, 1]
+        unet_config["use_temporal_resblock"] = True
+        unet_config["use_temporal_attention"] = True
+        unet_config["disable_temporal_crossattention"] = not video_model_cross
+    else:
+        unet_config["use_temporal_resblock"] = False
+        unet_config["use_temporal_attention"] = False
+
+    return unet_config
+
+def model_config_from_unet_config(unet_config, state_dict=None):
+    for model_config in comfy.supported_models.models:
+        if model_config.matches(unet_config, state_dict):
+            return model_config(unet_config)
+
+    logging.error("no match {}".format(unet_config))
+    return None
+
+def model_config_from_unet(state_dict, unet_key_prefix, use_base_if_no_match=False):
+    unet_config = detect_unet_config(state_dict, unet_key_prefix)
+    if unet_config is None:
+        return None
+    model_config = model_config_from_unet_config(unet_config, state_dict)
+    if model_config is None and use_base_if_no_match:
+        return comfy.supported_models_base.BASE(unet_config)
+    else:
+        return model_config
+
+def unet_prefix_from_state_dict(state_dict):
+    candidates = ["model.diffusion_model.", #ldm/sgm models
+                  "model.model.", #audio models
+                  ]
+    counts = {k: 0 for k in candidates}
+    for k in state_dict:
+        for c in candidates:
+            if k.startswith(c):
+                counts[c] += 1
+                break
+
+    top = max(counts, key=counts.get)
+    if counts[top] > 5:
+        return top
+    else:
+        return "model." #aura flow and others
+
+
+def convert_config(unet_config):
+    new_config = unet_config.copy()
+    num_res_blocks = new_config.get("num_res_blocks", None)
+    channel_mult = new_config.get("channel_mult", None)
+
+    if isinstance(num_res_blocks, int):
+        num_res_blocks = len(channel_mult) * [num_res_blocks]
+
+    if "attention_resolutions" in new_config:
+        attention_resolutions = new_config.pop("attention_resolutions")
+        transformer_depth = new_config.get("transformer_depth", None)
+        transformer_depth_middle = new_config.get("transformer_depth_middle", None)
+
+        if isinstance(transformer_depth, int):
+            transformer_depth = len(channel_mult) * [transformer_depth]
+        if transformer_depth_middle is None:
+            transformer_depth_middle =  transformer_depth[-1]
+        t_in = []
+        t_out = []
+        s = 1
+        for i in range(len(num_res_blocks)):
+            res = num_res_blocks[i]
+            d = 0
+            if s in attention_resolutions:
+                d = transformer_depth[i]
+
+            t_in += [d] * res
+            t_out += [d] * (res + 1)
+            s *= 2
+        transformer_depth = t_in
+        transformer_depth_output = t_out
+        new_config["transformer_depth"] = t_in
+        new_config["transformer_depth_output"] = t_out
+        new_config["transformer_depth_middle"] = transformer_depth_middle
+
+    new_config["num_res_blocks"] = num_res_blocks
+    return new_config
+
+
+def unet_config_from_diffusers_unet(state_dict, dtype=None):
+    match = {}
+    transformer_depth = []
+
+    attn_res = 1
+    down_blocks = count_blocks(state_dict, "down_blocks.{}")
+    for i in range(down_blocks):
+        attn_blocks = count_blocks(state_dict, "down_blocks.{}.attentions.".format(i) + '{}')
+        res_blocks = count_blocks(state_dict, "down_blocks.{}.resnets.".format(i) + '{}')
+        for ab in range(attn_blocks):
+            transformer_count = count_blocks(state_dict, "down_blocks.{}.attentions.{}.transformer_blocks.".format(i, ab) + '{}')
+            transformer_depth.append(transformer_count)
+            if transformer_count > 0:
+                match["context_dim"] = state_dict["down_blocks.{}.attentions.{}.transformer_blocks.0.attn2.to_k.weight".format(i, ab)].shape[1]
+
+        attn_res *= 2
+        if attn_blocks == 0:
+            for i in range(res_blocks):
+                transformer_depth.append(0)
+
+    match["transformer_depth"] = transformer_depth
+
+    match["model_channels"] = state_dict["conv_in.weight"].shape[0]
+    match["in_channels"] = state_dict["conv_in.weight"].shape[1]
+    match["adm_in_channels"] = None
+    if "class_embedding.linear_1.weight" in state_dict:
+        match["adm_in_channels"] = state_dict["class_embedding.linear_1.weight"].shape[1]
+    elif "add_embedding.linear_1.weight" in state_dict:
+        match["adm_in_channels"] = state_dict["add_embedding.linear_1.weight"].shape[1]
+
+    SDXL = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+            'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
+            'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 2, 2, 10, 10], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 10,
+            'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 0, 2, 2, 2, 10, 10, 10],
+            'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SDXL_refiner = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+                    'num_classes': 'sequential', 'adm_in_channels': 2560, 'dtype': dtype, 'in_channels': 4, 'model_channels': 384,
+                    'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [0, 0, 4, 4, 4, 4, 0, 0], 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 4,
+                    'use_linear_in_transformer': True, 'context_dim': 1280, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0],
+                    'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SD21 = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+            'adm_in_channels': None, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': [2, 2, 2, 2],
+            'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0], 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1, 'use_linear_in_transformer': True,
+            'context_dim': 1024, 'num_head_channels': 64, 'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0],
+            'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SD21_uncliph = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+                    'num_classes': 'sequential', 'adm_in_channels': 2048, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
+                    'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0], 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1,
+                    'use_linear_in_transformer': True, 'context_dim': 1024, 'num_head_channels': 64, 'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0],
+                    'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SD21_unclipl = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+                    'num_classes': 'sequential', 'adm_in_channels': 1536, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
+                    'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0], 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1,
+                    'use_linear_in_transformer': True, 'context_dim': 1024, 'num_head_channels': 64, 'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0],
+                    'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SD15 = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, 'adm_in_channels': None,
+            'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0],
+            'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1, 'use_linear_in_transformer': False, 'context_dim': 768, 'num_heads': 8,
+            'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0],
+            'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SDXL_mid_cnet = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+                     'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
+                     'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 0, 0, 1, 1], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 1,
+                     'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 0, 0, 0, 0, 1, 1, 1],
+                     'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SDXL_small_cnet = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+                       'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
+                       'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 0, 0, 0, 0], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 0,
+                       'use_linear_in_transformer': True, 'num_head_channels': 64, 'context_dim': 1, 'transformer_depth_output': [0, 0, 0, 0, 0, 0, 0, 0, 0],
+                       'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SDXL_diffusers_inpaint = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+                              'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 9, 'model_channels': 320,
+                              'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 2, 2, 10, 10], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 10,
+                              'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 0, 2, 2, 2, 10, 10, 10],
+                              'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SDXL_diffusers_ip2p = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+                              'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 8, 'model_channels': 320,
+                              'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 2, 2, 10, 10], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 10,
+                              'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 0, 2, 2, 2, 10, 10, 10],
+                              'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SSD_1B = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+              'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
+              'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 2, 2, 4, 4], 'transformer_depth_output': [0, 0, 0, 1, 1, 2, 10, 4, 4],
+              'channel_mult': [1, 2, 4], 'transformer_depth_middle': -1, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64,
+              'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    Segmind_Vega = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+              'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
+              'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 1, 1, 2, 2], 'transformer_depth_output': [0, 0, 0, 1, 1, 1, 2, 2, 2],
+              'channel_mult': [1, 2, 4], 'transformer_depth_middle': -1, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64,
+              'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    KOALA_700M = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+              'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
+              'num_res_blocks': [1, 1, 1], 'transformer_depth': [0, 2, 5], 'transformer_depth_output': [0, 0, 2, 2, 5, 5],
+              'channel_mult': [1, 2, 4], 'transformer_depth_middle': -2, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64,
+              'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    KOALA_1B = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+              'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
+              'num_res_blocks': [1, 1, 1], 'transformer_depth': [0, 2, 6], 'transformer_depth_output': [0, 0, 2, 2, 6, 6],
+              'channel_mult': [1, 2, 4], 'transformer_depth_middle': 6, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64,
+              'use_temporal_attention': False, 'use_temporal_resblock': False}
+
+    SD09_XS = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+            'adm_in_channels': None, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': [1, 1, 1],
+            'transformer_depth': [1, 1, 1], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': -2, 'use_linear_in_transformer': True,
+            'context_dim': 1024, 'num_head_channels': 64, 'transformer_depth_output': [1, 1, 1, 1, 1, 1],
+            'use_temporal_attention': False, 'use_temporal_resblock': False, 'disable_self_attentions': [True, False, False]}
+
+    SD_XS = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
+            'adm_in_channels': None, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': [1, 1, 1],
+            'transformer_depth': [0, 1, 1], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': -2, 'use_linear_in_transformer': False,
+            'context_dim': 768, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 1, 1, 1, 1],
+            'use_temporal_attention': False, 'use_temporal_resblock': False}
+    
+    SD15_diffusers_inpaint = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, 'adm_in_channels': None,
+            'dtype': dtype, 'in_channels': 9, 'model_channels': 320, 'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0],
+            'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1, 'use_linear_in_transformer': False, 'context_dim': 768, 'num_heads': 8,
+            'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0],
+            'use_temporal_attention': False, 'use_temporal_resblock': False}  
+
+
+    supported_models = [SDXL, SDXL_refiner, SD21, SD15, SD21_uncliph, SD21_unclipl, SDXL_mid_cnet, SDXL_small_cnet, SDXL_diffusers_inpaint, SSD_1B, Segmind_Vega, KOALA_700M, KOALA_1B, SD09_XS, SD_XS, SDXL_diffusers_ip2p, SD15_diffusers_inpaint]
+
+    for unet_config in supported_models:
+        matches = True
+        for k in match:
+            if match[k] != unet_config[k]:
+                matches = False
+                break
+        if matches:
+            return convert_config(unet_config)
+    return None
+
+def model_config_from_diffusers_unet(state_dict):
+    unet_config = unet_config_from_diffusers_unet(state_dict)
+    if unet_config is not None:
+        return model_config_from_unet_config(unet_config)
+    return None
+
+def convert_diffusers_mmdit(state_dict, output_prefix=""):
+    out_sd = {}
+
+    if 'transformer_blocks.0.attn.norm_added_k.weight' in state_dict: #Flux
+        depth = count_blocks(state_dict, 'transformer_blocks.{}.')
+        depth_single_blocks = count_blocks(state_dict, 'single_transformer_blocks.{}.')
+        hidden_size = state_dict["x_embedder.bias"].shape[0]
+        sd_map = comfy.utils.flux_to_diffusers({"depth": depth, "depth_single_blocks": depth_single_blocks, "hidden_size": hidden_size}, output_prefix=output_prefix)
+    elif 'transformer_blocks.0.attn.add_q_proj.weight' in state_dict: #SD3
+        num_blocks = count_blocks(state_dict, 'transformer_blocks.{}.')
+        depth = state_dict["pos_embed.proj.weight"].shape[0] // 64
+        sd_map = comfy.utils.mmdit_to_diffusers({"depth": depth, "num_blocks": num_blocks}, output_prefix=output_prefix)
+    elif 'joint_transformer_blocks.0.attn.add_k_proj.weight' in state_dict: #AuraFlow
+        num_joint = count_blocks(state_dict, 'joint_transformer_blocks.{}.')
+        num_single = count_blocks(state_dict, 'single_transformer_blocks.{}.')
+        sd_map = comfy.utils.auraflow_to_diffusers({"n_double_layers": num_joint, "n_layers": num_joint + num_single}, output_prefix=output_prefix)
+    else:
+        return None
+
+    for k in sd_map:
+        weight = state_dict.get(k, None)
+        if weight is not None:
+            t = sd_map[k]
+
+            if not isinstance(t, str):
+                if len(t) > 2:
+                    fun = t[2]
+                else:
+                    fun = lambda a: a
+                offset = t[1]
+                if offset is not None:
+                    old_weight = out_sd.get(t[0], None)
+                    if old_weight is None:
+                        old_weight = torch.empty_like(weight)
+                    if old_weight.shape[offset[0]] < offset[1] + offset[2]:
+                        exp = list(weight.shape)
+                        exp[offset[0]] = offset[1] + offset[2]
+                        new = torch.empty(exp, device=weight.device, dtype=weight.dtype)
+                        new[:old_weight.shape[0]] = old_weight
+                        old_weight = new
+
+                    w = old_weight.narrow(offset[0], offset[1], offset[2])
+                else:
+                    old_weight = weight
+                    w = weight
+                w[:] = fun(weight)
+                t = t[0]
+                out_sd[t] = old_weight
+            else:
+                out_sd[t] = weight
+            state_dict.pop(k)
+
+    return out_sd
diff --git a/ComfyUI/comfy/model_management.py b/ComfyUI/comfy/model_management.py
new file mode 100644
index 0000000000000000000000000000000000000000..11683a9056c0ade0746d65492531277ad8d8b7ee
--- /dev/null
+++ b/ComfyUI/comfy/model_management.py
@@ -0,0 +1,1121 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Comfy
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import psutil
+import logging
+from enum import Enum
+from comfy.cli_args import args
+import torch
+import sys
+import platform
+
+class VRAMState(Enum):
+    DISABLED = 0    #No vram present: no need to move models to vram
+    NO_VRAM = 1     #Very low vram: enable all the options to save vram
+    LOW_VRAM = 2
+    NORMAL_VRAM = 3
+    HIGH_VRAM = 4
+    SHARED = 5      #No dedicated vram: memory shared between CPU and GPU but models still need to be moved between both.
+
+class CPUState(Enum):
+    GPU = 0
+    CPU = 1
+    MPS = 2
+
+# Determine VRAM State
+vram_state = VRAMState.NORMAL_VRAM
+set_vram_to = VRAMState.NORMAL_VRAM
+cpu_state = CPUState.GPU
+
+total_vram = 0
+
+xpu_available = False
+torch_version = ""
+try:
+    torch_version = torch.version.__version__
+    xpu_available = (int(torch_version[0]) < 2 or (int(torch_version[0]) == 2 and int(torch_version[2]) <= 4)) and torch.xpu.is_available()
+except:
+    pass
+
+lowvram_available = True
+if args.deterministic:
+    logging.info("Using deterministic algorithms for pytorch")
+    torch.use_deterministic_algorithms(True, warn_only=True)
+
+directml_enabled = False
+if args.directml is not None:
+    import torch_directml
+    directml_enabled = True
+    device_index = args.directml
+    if device_index < 0:
+        directml_device = torch_directml.device()
+    else:
+        directml_device = torch_directml.device(device_index)
+    logging.info("Using directml with device: {}".format(torch_directml.device_name(device_index)))
+    # torch_directml.disable_tiled_resources(True)
+    lowvram_available = False #TODO: need to find a way to get free memory in directml before this can be enabled by default.
+
+try:
+    import intel_extension_for_pytorch as ipex
+    _ = torch.xpu.device_count()
+    xpu_available = torch.xpu.is_available()
+except:
+    xpu_available = xpu_available or (hasattr(torch, "xpu") and torch.xpu.is_available())
+
+try:
+    if torch.backends.mps.is_available():
+        cpu_state = CPUState.MPS
+        import torch.mps
+except:
+    pass
+
+if args.cpu:
+    cpu_state = CPUState.CPU
+
+def is_intel_xpu():
+    global cpu_state
+    global xpu_available
+    if cpu_state == CPUState.GPU:
+        if xpu_available:
+            return True
+    return False
+
+def get_torch_device():
+    global directml_enabled
+    global cpu_state
+    if directml_enabled:
+        global directml_device
+        return directml_device
+    if cpu_state == CPUState.MPS:
+        return torch.device("mps")
+    if cpu_state == CPUState.CPU:
+        return torch.device("cpu")
+    else:
+        if is_intel_xpu():
+            return torch.device("xpu", torch.xpu.current_device())
+        else:
+            return torch.device(torch.cuda.current_device())
+
+def get_total_memory(dev=None, torch_total_too=False):
+    global directml_enabled
+    if dev is None:
+        dev = get_torch_device()
+
+    if hasattr(dev, 'type') and (dev.type == 'cpu' or dev.type == 'mps'):
+        mem_total = psutil.virtual_memory().total
+        mem_total_torch = mem_total
+    else:
+        if directml_enabled:
+            mem_total = 1024 * 1024 * 1024 #TODO
+            mem_total_torch = mem_total
+        elif is_intel_xpu():
+            stats = torch.xpu.memory_stats(dev)
+            mem_reserved = stats['reserved_bytes.all.current']
+            mem_total_torch = mem_reserved
+            mem_total = torch.xpu.get_device_properties(dev).total_memory
+        else:
+            stats = torch.cuda.memory_stats(dev)
+            mem_reserved = stats['reserved_bytes.all.current']
+            _, mem_total_cuda = torch.cuda.mem_get_info(dev)
+            mem_total_torch = mem_reserved
+            mem_total = mem_total_cuda
+
+    if torch_total_too:
+        return (mem_total, mem_total_torch)
+    else:
+        return mem_total
+
+total_vram = get_total_memory(get_torch_device()) / (1024 * 1024)
+total_ram = psutil.virtual_memory().total / (1024 * 1024)
+logging.info("Total VRAM {:0.0f} MB, total RAM {:0.0f} MB".format(total_vram, total_ram))
+
+try:
+    logging.info("pytorch version: {}".format(torch.version.__version__))
+except:
+    pass
+
+try:
+    OOM_EXCEPTION = torch.cuda.OutOfMemoryError
+except:
+    OOM_EXCEPTION = Exception
+
+XFORMERS_VERSION = ""
+XFORMERS_ENABLED_VAE = True
+if args.disable_xformers:
+    XFORMERS_IS_AVAILABLE = False
+else:
+    try:
+        import xformers
+        import xformers.ops
+        XFORMERS_IS_AVAILABLE = True
+        try:
+            XFORMERS_IS_AVAILABLE = xformers._has_cpp_library
+        except:
+            pass
+        try:
+            XFORMERS_VERSION = xformers.version.__version__
+            logging.info("xformers version: {}".format(XFORMERS_VERSION))
+            if XFORMERS_VERSION.startswith("0.0.18"):
+                logging.warning("\nWARNING: This version of xformers has a major bug where you will get black images when generating high resolution images.")
+                logging.warning("Please downgrade or upgrade xformers to a different version.\n")
+                XFORMERS_ENABLED_VAE = False
+        except:
+            pass
+    except:
+        XFORMERS_IS_AVAILABLE = False
+
+def is_nvidia():
+    global cpu_state
+    if cpu_state == CPUState.GPU:
+        if torch.version.cuda:
+            return True
+    return False
+
+ENABLE_PYTORCH_ATTENTION = False
+if args.use_pytorch_cross_attention:
+    ENABLE_PYTORCH_ATTENTION = True
+    XFORMERS_IS_AVAILABLE = False
+
+VAE_DTYPES = [torch.float32]
+
+try:
+    if is_nvidia():
+        if int(torch_version[0]) >= 2:
+            if ENABLE_PYTORCH_ATTENTION == False and args.use_split_cross_attention == False and args.use_quad_cross_attention == False:
+                ENABLE_PYTORCH_ATTENTION = True
+            if torch.cuda.is_bf16_supported() and torch.cuda.get_device_properties(torch.cuda.current_device()).major >= 8:
+                VAE_DTYPES = [torch.bfloat16] + VAE_DTYPES
+    if is_intel_xpu():
+        if args.use_split_cross_attention == False and args.use_quad_cross_attention == False:
+            ENABLE_PYTORCH_ATTENTION = True
+except:
+    pass
+
+if is_intel_xpu():
+    VAE_DTYPES = [torch.bfloat16] + VAE_DTYPES
+
+if args.cpu_vae:
+    VAE_DTYPES = [torch.float32]
+
+
+if ENABLE_PYTORCH_ATTENTION:
+    torch.backends.cuda.enable_math_sdp(True)
+    torch.backends.cuda.enable_flash_sdp(True)
+    torch.backends.cuda.enable_mem_efficient_sdp(True)
+
+if args.lowvram:
+    set_vram_to = VRAMState.LOW_VRAM
+    lowvram_available = True
+elif args.novram:
+    set_vram_to = VRAMState.NO_VRAM
+elif args.highvram or args.gpu_only:
+    vram_state = VRAMState.HIGH_VRAM
+
+FORCE_FP32 = False
+FORCE_FP16 = False
+if args.force_fp32:
+    logging.info("Forcing FP32, if this improves things please report it.")
+    FORCE_FP32 = True
+
+if args.force_fp16:
+    logging.info("Forcing FP16.")
+    FORCE_FP16 = True
+
+if lowvram_available:
+    if set_vram_to in (VRAMState.LOW_VRAM, VRAMState.NO_VRAM):
+        vram_state = set_vram_to
+
+
+if cpu_state != CPUState.GPU:
+    vram_state = VRAMState.DISABLED
+
+if cpu_state == CPUState.MPS:
+    vram_state = VRAMState.SHARED
+
+logging.info(f"Set vram state to: {vram_state.name}")
+
+DISABLE_SMART_MEMORY = args.disable_smart_memory
+
+if DISABLE_SMART_MEMORY:
+    logging.info("Disabling smart memory management")
+
+def get_torch_device_name(device):
+    if hasattr(device, 'type'):
+        if device.type == "cuda":
+            try:
+                allocator_backend = torch.cuda.get_allocator_backend()
+            except:
+                allocator_backend = ""
+            return "{} {} : {}".format(device, torch.cuda.get_device_name(device), allocator_backend)
+        else:
+            return "{}".format(device.type)
+    elif is_intel_xpu():
+        return "{} {}".format(device, torch.xpu.get_device_name(device))
+    else:
+        return "CUDA {}: {}".format(device, torch.cuda.get_device_name(device))
+
+try:
+    logging.info("Device: {}".format(get_torch_device_name(get_torch_device())))
+except:
+    logging.warning("Could not pick default device.")
+
+
+current_loaded_models = []
+
+def module_size(module):
+    module_mem = 0
+    sd = module.state_dict()
+    for k in sd:
+        t = sd[k]
+        module_mem += t.nelement() * t.element_size()
+    return module_mem
+
+class LoadedModel:
+    def __init__(self, model):
+        self.model = model
+        self.device = model.load_device
+        self.weights_loaded = False
+        self.real_model = None
+        self.currently_used = True
+
+    def model_memory(self):
+        return self.model.model_size()
+
+    def model_offloaded_memory(self):
+        return self.model.model_size() - self.model.loaded_size()
+
+    def model_memory_required(self, device):
+        if device == self.model.current_loaded_device():
+            return self.model_offloaded_memory()
+        else:
+            return self.model_memory()
+
+    def model_load(self, lowvram_model_memory=0, force_patch_weights=False):
+        patch_model_to = self.device
+
+        self.model.model_patches_to(self.device)
+        self.model.model_patches_to(self.model.model_dtype())
+
+        load_weights = not self.weights_loaded
+
+        if self.model.loaded_size() > 0:
+            use_more_vram = lowvram_model_memory
+            if use_more_vram == 0:
+                use_more_vram = 1e32
+            self.model_use_more_vram(use_more_vram)
+        else:
+            try:
+                self.real_model = self.model.patch_model(device_to=patch_model_to, lowvram_model_memory=lowvram_model_memory, load_weights=load_weights, force_patch_weights=force_patch_weights)
+            except Exception as e:
+                self.model.unpatch_model(self.model.offload_device)
+                self.model_unload()
+                raise e
+
+        if is_intel_xpu() and not args.disable_ipex_optimize and self.real_model is not None:
+            with torch.no_grad():
+                self.real_model = ipex.optimize(self.real_model.eval(), inplace=True, graph_mode=True, concat_linear=True)
+
+        self.weights_loaded = True
+        return self.real_model
+
+    def should_reload_model(self, force_patch_weights=False):
+        if force_patch_weights and self.model.lowvram_patch_counter() > 0:
+            return True
+        return False
+
+    def model_unload(self, memory_to_free=None, unpatch_weights=True):
+        if memory_to_free is not None:
+            if memory_to_free < self.model.loaded_size():
+                freed = self.model.partially_unload(self.model.offload_device, memory_to_free)
+                if freed >= memory_to_free:
+                    return False
+        self.model.unpatch_model(self.model.offload_device, unpatch_weights=unpatch_weights)
+        self.model.model_patches_to(self.model.offload_device)
+        self.weights_loaded = self.weights_loaded and not unpatch_weights
+        self.real_model = None
+        return True
+
+    def model_use_more_vram(self, extra_memory):
+        return self.model.partially_load(self.device, extra_memory)
+
+    def __eq__(self, other):
+        return self.model is other.model
+
+def use_more_memory(extra_memory, loaded_models, device):
+    for m in loaded_models:
+        if m.device == device:
+            extra_memory -= m.model_use_more_vram(extra_memory)
+            if extra_memory <= 0:
+                break
+
+def offloaded_memory(loaded_models, device):
+    offloaded_mem = 0
+    for m in loaded_models:
+        if m.device == device:
+            offloaded_mem += m.model_offloaded_memory()
+    return offloaded_mem
+
+WINDOWS = any(platform.win32_ver())
+
+EXTRA_RESERVED_VRAM = 400 * 1024 * 1024
+if WINDOWS:
+    EXTRA_RESERVED_VRAM = 600 * 1024 * 1024 #Windows is higher because of the shared vram issue
+
+if args.reserve_vram is not None:
+    EXTRA_RESERVED_VRAM = args.reserve_vram * 1024 * 1024 * 1024
+    logging.debug("Reserving {}MB vram for other applications.".format(EXTRA_RESERVED_VRAM / (1024 * 1024)))
+
+def extra_reserved_memory():
+    return EXTRA_RESERVED_VRAM
+
+def minimum_inference_memory():
+    return (1024 * 1024 * 1024) * 0.8 + extra_reserved_memory()
+
+def unload_model_clones(model, unload_weights_only=True, force_unload=True):
+    to_unload = []
+    for i in range(len(current_loaded_models)):
+        if model.is_clone(current_loaded_models[i].model):
+            to_unload = [i] + to_unload
+
+    if len(to_unload) == 0:
+        return True
+
+    same_weights = 0
+    for i in to_unload:
+        if model.clone_has_same_weights(current_loaded_models[i].model):
+            same_weights += 1
+
+    if same_weights == len(to_unload):
+        unload_weight = False
+    else:
+        unload_weight = True
+
+    if not force_unload:
+        if unload_weights_only and unload_weight == False:
+            return None
+    else:
+        unload_weight = True
+
+    for i in to_unload:
+        logging.debug("unload clone {} {}".format(i, unload_weight))
+        current_loaded_models.pop(i).model_unload(unpatch_weights=unload_weight)
+
+    return unload_weight
+
+def free_memory(memory_required, device, keep_loaded=[]):
+    unloaded_model = []
+    can_unload = []
+    unloaded_models = []
+
+    for i in range(len(current_loaded_models) -1, -1, -1):
+        shift_model = current_loaded_models[i]
+        if shift_model.device == device:
+            if shift_model not in keep_loaded:
+                can_unload.append((sys.getrefcount(shift_model.model), shift_model.model_memory(), i))
+                shift_model.currently_used = False
+
+    for x in sorted(can_unload):
+        i = x[-1]
+        memory_to_free = None
+        if not DISABLE_SMART_MEMORY:
+            free_mem = get_free_memory(device)
+            if free_mem > memory_required:
+                break
+            memory_to_free = memory_required - free_mem
+        logging.debug(f"Unloading {current_loaded_models[i].model.model.__class__.__name__}")
+        if current_loaded_models[i].model_unload(memory_to_free):
+            unloaded_model.append(i)
+
+    for i in sorted(unloaded_model, reverse=True):
+        unloaded_models.append(current_loaded_models.pop(i))
+
+    if len(unloaded_model) > 0:
+        soft_empty_cache()
+    else:
+        if vram_state != VRAMState.HIGH_VRAM:
+            mem_free_total, mem_free_torch = get_free_memory(device, torch_free_too=True)
+            if mem_free_torch > mem_free_total * 0.25:
+                soft_empty_cache()
+    return unloaded_models
+
+def load_models_gpu(models, memory_required=0, force_patch_weights=False, minimum_memory_required=None, force_full_load=False):
+    global vram_state
+
+    inference_memory = minimum_inference_memory()
+    extra_mem = max(inference_memory, memory_required + extra_reserved_memory())
+    if minimum_memory_required is None:
+        minimum_memory_required = extra_mem
+    else:
+        minimum_memory_required = max(inference_memory, minimum_memory_required + extra_reserved_memory())
+
+    models = set(models)
+
+    models_to_load = []
+    models_already_loaded = []
+    for x in models:
+        loaded_model = LoadedModel(x)
+        loaded = None
+
+        try:
+            loaded_model_index = current_loaded_models.index(loaded_model)
+        except:
+            loaded_model_index = None
+
+        if loaded_model_index is not None:
+            loaded = current_loaded_models[loaded_model_index]
+            if loaded.should_reload_model(force_patch_weights=force_patch_weights): #TODO: cleanup this model reload logic
+                current_loaded_models.pop(loaded_model_index).model_unload(unpatch_weights=True)
+                loaded = None
+            else:
+                loaded.currently_used = True
+                models_already_loaded.append(loaded)
+
+        if loaded is None:
+            if hasattr(x, "model"):
+                logging.info(f"Requested to load {x.model.__class__.__name__}")
+            models_to_load.append(loaded_model)
+
+    if len(models_to_load) == 0:
+        devs = set(map(lambda a: a.device, models_already_loaded))
+        for d in devs:
+            if d != torch.device("cpu"):
+                free_memory(extra_mem + offloaded_memory(models_already_loaded, d), d, models_already_loaded)
+                free_mem = get_free_memory(d)
+                if free_mem < minimum_memory_required:
+                    logging.info("Unloading models for lowram load.") #TODO: partial model unloading when this case happens, also handle the opposite case where models can be unlowvramed.
+                    models_to_load = free_memory(minimum_memory_required, d)
+                    logging.info("{} models unloaded.".format(len(models_to_load)))
+                else:
+                    use_more_memory(free_mem - minimum_memory_required, models_already_loaded, d)
+        if len(models_to_load) == 0:
+            return
+
+    logging.info(f"Loading {len(models_to_load)} new model{'s' if len(models_to_load) > 1 else ''}")
+
+    total_memory_required = {}
+    for loaded_model in models_to_load:
+        unload_model_clones(loaded_model.model, unload_weights_only=True, force_unload=False) #unload clones where the weights are different
+        total_memory_required[loaded_model.device] = total_memory_required.get(loaded_model.device, 0) + loaded_model.model_memory_required(loaded_model.device)
+
+    for loaded_model in models_already_loaded:
+        total_memory_required[loaded_model.device] = total_memory_required.get(loaded_model.device, 0) + loaded_model.model_memory_required(loaded_model.device)
+
+    for loaded_model in models_to_load:
+        weights_unloaded = unload_model_clones(loaded_model.model, unload_weights_only=False, force_unload=False) #unload the rest of the clones where the weights can stay loaded
+        if weights_unloaded is not None:
+            loaded_model.weights_loaded = not weights_unloaded
+
+    for device in total_memory_required:
+        if device != torch.device("cpu"):
+            free_memory(total_memory_required[device] * 1.1 + extra_mem, device, models_already_loaded)
+
+    for loaded_model in models_to_load:
+        model = loaded_model.model
+        torch_dev = model.load_device
+        if is_device_cpu(torch_dev):
+            vram_set_state = VRAMState.DISABLED
+        else:
+            vram_set_state = vram_state
+        lowvram_model_memory = 0
+        if lowvram_available and (vram_set_state == VRAMState.LOW_VRAM or vram_set_state == VRAMState.NORMAL_VRAM) and not force_full_load:
+            model_size = loaded_model.model_memory_required(torch_dev)
+            current_free_mem = get_free_memory(torch_dev)
+            lowvram_model_memory = max(64 * (1024 * 1024), (current_free_mem - minimum_memory_required), min(current_free_mem * 0.4, current_free_mem - minimum_inference_memory()))
+            if model_size <= lowvram_model_memory: #only switch to lowvram if really necessary
+                lowvram_model_memory = 0
+
+        if vram_set_state == VRAMState.NO_VRAM:
+            lowvram_model_memory = 64 * 1024 * 1024
+
+        cur_loaded_model = loaded_model.model_load(lowvram_model_memory, force_patch_weights=force_patch_weights)
+        current_loaded_models.insert(0, loaded_model)
+
+
+    devs = set(map(lambda a: a.device, models_already_loaded))
+    for d in devs:
+        if d != torch.device("cpu"):
+            free_mem = get_free_memory(d)
+            if free_mem > minimum_memory_required:
+                use_more_memory(free_mem - minimum_memory_required, models_already_loaded, d)
+    return
+
+
+def load_model_gpu(model):
+    return load_models_gpu([model])
+
+def loaded_models(only_currently_used=False):
+    output = []
+    for m in current_loaded_models:
+        if only_currently_used:
+            if not m.currently_used:
+                continue
+
+        output.append(m.model)
+    return output
+
+def cleanup_models(keep_clone_weights_loaded=False):
+    to_delete = []
+    for i in range(len(current_loaded_models)):
+        #TODO: very fragile function needs improvement
+        num_refs = sys.getrefcount(current_loaded_models[i].model)
+        if num_refs <= 2:
+            if not keep_clone_weights_loaded:
+                to_delete = [i] + to_delete
+            #TODO: find a less fragile way to do this.
+            elif sys.getrefcount(current_loaded_models[i].real_model) <= 3: #references from .real_model + the .model
+                to_delete = [i] + to_delete
+
+    for i in to_delete:
+        x = current_loaded_models.pop(i)
+        x.model_unload()
+        del x
+
+def dtype_size(dtype):
+    dtype_size = 4
+    if dtype == torch.float16 or dtype == torch.bfloat16:
+        dtype_size = 2
+    elif dtype == torch.float32:
+        dtype_size = 4
+    else:
+        try:
+            dtype_size = dtype.itemsize
+        except: #Old pytorch doesn't have .itemsize
+            pass
+    return dtype_size
+
+def unet_offload_device():
+    if vram_state == VRAMState.HIGH_VRAM:
+        return get_torch_device()
+    else:
+        return torch.device("cpu")
+
+def unet_inital_load_device(parameters, dtype):
+    torch_dev = get_torch_device()
+    if vram_state == VRAMState.HIGH_VRAM:
+        return torch_dev
+
+    cpu_dev = torch.device("cpu")
+    if DISABLE_SMART_MEMORY:
+        return cpu_dev
+
+    model_size = dtype_size(dtype) * parameters
+
+    mem_dev = get_free_memory(torch_dev)
+    mem_cpu = get_free_memory(cpu_dev)
+    if mem_dev > mem_cpu and model_size < mem_dev:
+        return torch_dev
+    else:
+        return cpu_dev
+
+def maximum_vram_for_weights(device=None):
+    return (get_total_memory(device) * 0.88 - minimum_inference_memory())
+
+def unet_dtype(device=None, model_params=0, supported_dtypes=[torch.float16, torch.bfloat16, torch.float32]):
+    if args.bf16_unet:
+        return torch.bfloat16
+    if args.fp16_unet:
+        return torch.float16
+    if args.fp8_e4m3fn_unet:
+        return torch.float8_e4m3fn
+    if args.fp8_e5m2_unet:
+        return torch.float8_e5m2
+
+    fp8_dtype = None
+    try:
+        for dtype in [torch.float8_e4m3fn, torch.float8_e5m2]:
+            if dtype in supported_dtypes:
+                fp8_dtype = dtype
+                break
+    except:
+        pass
+
+    if fp8_dtype is not None:
+        free_model_memory = maximum_vram_for_weights(device)
+        if model_params * 2 > free_model_memory:
+            return fp8_dtype
+
+    for dt in supported_dtypes:
+        if dt == torch.float16 and should_use_fp16(device=device, model_params=model_params):
+            if torch.float16 in supported_dtypes:
+                return torch.float16
+        if dt == torch.bfloat16 and should_use_bf16(device, model_params=model_params):
+            if torch.bfloat16 in supported_dtypes:
+                return torch.bfloat16
+
+    for dt in supported_dtypes:
+        if dt == torch.float16 and should_use_fp16(device=device, model_params=model_params, manual_cast=True):
+            if torch.float16 in supported_dtypes:
+                return torch.float16
+        if dt == torch.bfloat16 and should_use_bf16(device, model_params=model_params, manual_cast=True):
+            if torch.bfloat16 in supported_dtypes:
+                return torch.bfloat16
+
+    return torch.float32
+
+# None means no manual cast
+def unet_manual_cast(weight_dtype, inference_device, supported_dtypes=[torch.float16, torch.bfloat16, torch.float32]):
+    if weight_dtype == torch.float32:
+        return None
+
+    fp16_supported = should_use_fp16(inference_device, prioritize_performance=False)
+    if fp16_supported and weight_dtype == torch.float16:
+        return None
+
+    bf16_supported = should_use_bf16(inference_device)
+    if bf16_supported and weight_dtype == torch.bfloat16:
+        return None
+
+    fp16_supported = should_use_fp16(inference_device, prioritize_performance=True)
+    for dt in supported_dtypes:
+        if dt == torch.float16 and fp16_supported:
+            return torch.float16
+        if dt == torch.bfloat16 and bf16_supported:
+            return torch.bfloat16
+
+    return torch.float32
+
+def text_encoder_offload_device():
+    if args.gpu_only:
+        return get_torch_device()
+    else:
+        return torch.device("cpu")
+
+def text_encoder_device():
+    if args.gpu_only:
+        return get_torch_device()
+    elif vram_state == VRAMState.HIGH_VRAM or vram_state == VRAMState.NORMAL_VRAM:
+        if should_use_fp16(prioritize_performance=False):
+            return get_torch_device()
+        else:
+            return torch.device("cpu")
+    else:
+        return torch.device("cpu")
+
+def text_encoder_initial_device(load_device, offload_device, model_size=0):
+    if load_device == offload_device or model_size <= 1024 * 1024 * 1024:
+        return offload_device
+
+    if is_device_mps(load_device):
+        return offload_device
+
+    mem_l = get_free_memory(load_device)
+    mem_o = get_free_memory(offload_device)
+    if mem_l > (mem_o * 0.5) and model_size * 1.2 < mem_l:
+        return load_device
+    else:
+        return offload_device
+
+def text_encoder_dtype(device=None):
+    if args.fp8_e4m3fn_text_enc:
+        return torch.float8_e4m3fn
+    elif args.fp8_e5m2_text_enc:
+        return torch.float8_e5m2
+    elif args.fp16_text_enc:
+        return torch.float16
+    elif args.fp32_text_enc:
+        return torch.float32
+
+    if is_device_cpu(device):
+        return torch.float16
+
+    return torch.float16
+
+
+def intermediate_device():
+    if args.gpu_only:
+        return get_torch_device()
+    else:
+        return torch.device("cpu")
+
+def vae_device():
+    if args.cpu_vae:
+        return torch.device("cpu")
+    return get_torch_device()
+
+def vae_offload_device():
+    if args.gpu_only:
+        return get_torch_device()
+    else:
+        return torch.device("cpu")
+
+def vae_dtype(device=None, allowed_dtypes=[]):
+    global VAE_DTYPES
+    if args.fp16_vae:
+        return torch.float16
+    elif args.bf16_vae:
+        return torch.bfloat16
+    elif args.fp32_vae:
+        return torch.float32
+
+    for d in allowed_dtypes:
+        if d == torch.float16 and should_use_fp16(device, prioritize_performance=False):
+            return d
+        if d in VAE_DTYPES:
+            return d
+
+    return VAE_DTYPES[0]
+
+def get_autocast_device(dev):
+    if hasattr(dev, 'type'):
+        return dev.type
+    return "cuda"
+
+def supports_dtype(device, dtype): #TODO
+    if dtype == torch.float32:
+        return True
+    if is_device_cpu(device):
+        return False
+    if dtype == torch.float16:
+        return True
+    if dtype == torch.bfloat16:
+        return True
+    return False
+
+def supports_cast(device, dtype): #TODO
+    if dtype == torch.float32:
+        return True
+    if dtype == torch.float16:
+        return True
+    if directml_enabled: #TODO: test this
+        return False
+    if dtype == torch.bfloat16:
+        return True
+    if is_device_mps(device):
+        return False
+    if dtype == torch.float8_e4m3fn:
+        return True
+    if dtype == torch.float8_e5m2:
+        return True
+    return False
+
+def pick_weight_dtype(dtype, fallback_dtype, device=None):
+    if dtype is None:
+        dtype = fallback_dtype
+    elif dtype_size(dtype) > dtype_size(fallback_dtype):
+        dtype = fallback_dtype
+
+    if not supports_cast(device, dtype):
+        dtype = fallback_dtype
+
+    return dtype
+
+def device_supports_non_blocking(device):
+    if is_device_mps(device):
+        return False #pytorch bug? mps doesn't support non blocking
+    if is_intel_xpu():
+        return False
+    if args.deterministic: #TODO: figure out why deterministic breaks non blocking from gpu to cpu (previews)
+        return False
+    if directml_enabled:
+        return False
+    return True
+
+def device_should_use_non_blocking(device):
+    if not device_supports_non_blocking(device):
+        return False
+    return False
+    # return True #TODO: figure out why this causes memory issues on Nvidia and possibly others
+
+def force_channels_last():
+    if args.force_channels_last:
+        return True
+
+    #TODO
+    return False
+
+def cast_to_device(tensor, device, dtype, copy=False):
+    device_supports_cast = False
+    if tensor.dtype == torch.float32 or tensor.dtype == torch.float16:
+        device_supports_cast = True
+    elif tensor.dtype == torch.bfloat16:
+        if hasattr(device, 'type') and device.type.startswith("cuda"):
+            device_supports_cast = True
+        elif is_intel_xpu():
+            device_supports_cast = True
+
+    non_blocking = device_should_use_non_blocking(device)
+
+    if device_supports_cast:
+        if copy:
+            if tensor.device == device:
+                return tensor.to(dtype, copy=copy, non_blocking=non_blocking)
+            return tensor.to(device, copy=copy, non_blocking=non_blocking).to(dtype, non_blocking=non_blocking)
+        else:
+            return tensor.to(device, non_blocking=non_blocking).to(dtype, non_blocking=non_blocking)
+    else:
+        return tensor.to(device, dtype, copy=copy, non_blocking=non_blocking)
+
+def xformers_enabled():
+    global directml_enabled
+    global cpu_state
+    if cpu_state != CPUState.GPU:
+        return False
+    if is_intel_xpu():
+        return False
+    if directml_enabled:
+        return False
+    return XFORMERS_IS_AVAILABLE
+
+
+def xformers_enabled_vae():
+    enabled = xformers_enabled()
+    if not enabled:
+        return False
+
+    return XFORMERS_ENABLED_VAE
+
+def pytorch_attention_enabled():
+    global ENABLE_PYTORCH_ATTENTION
+    return ENABLE_PYTORCH_ATTENTION
+
+def pytorch_attention_flash_attention():
+    global ENABLE_PYTORCH_ATTENTION
+    if ENABLE_PYTORCH_ATTENTION:
+        #TODO: more reliable way of checking for flash attention?
+        if is_nvidia(): #pytorch flash attention only works on Nvidia
+            return True
+        if is_intel_xpu():
+            return True
+    return False
+
+def force_upcast_attention_dtype():
+    upcast = args.force_upcast_attention
+    try:
+        macos_version = tuple(int(n) for n in platform.mac_ver()[0].split("."))
+        if (14, 5) <= macos_version < (14, 7):  # black image bug on recent versions of MacOS
+            upcast = True
+    except:
+        pass
+    if upcast:
+        return torch.float32
+    else:
+        return None
+
+def get_free_memory(dev=None, torch_free_too=False):
+    global directml_enabled
+    if dev is None:
+        dev = get_torch_device()
+
+    if hasattr(dev, 'type') and (dev.type == 'cpu' or dev.type == 'mps'):
+        mem_free_total = psutil.virtual_memory().available
+        mem_free_torch = mem_free_total
+    else:
+        if directml_enabled:
+            mem_free_total = 1024 * 1024 * 1024 #TODO
+            mem_free_torch = mem_free_total
+        elif is_intel_xpu():
+            stats = torch.xpu.memory_stats(dev)
+            mem_active = stats['active_bytes.all.current']
+            mem_reserved = stats['reserved_bytes.all.current']
+            mem_free_torch = mem_reserved - mem_active
+            mem_free_xpu = torch.xpu.get_device_properties(dev).total_memory - mem_reserved
+            mem_free_total = mem_free_xpu + mem_free_torch
+        else:
+            stats = torch.cuda.memory_stats(dev)
+            mem_active = stats['active_bytes.all.current']
+            mem_reserved = stats['reserved_bytes.all.current']
+            mem_free_cuda, _ = torch.cuda.mem_get_info(dev)
+            mem_free_torch = mem_reserved - mem_active
+            mem_free_total = mem_free_cuda + mem_free_torch
+
+    if torch_free_too:
+        return (mem_free_total, mem_free_torch)
+    else:
+        return mem_free_total
+
+def cpu_mode():
+    global cpu_state
+    return cpu_state == CPUState.CPU
+
+def mps_mode():
+    global cpu_state
+    return cpu_state == CPUState.MPS
+
+def is_device_type(device, type):
+    if hasattr(device, 'type'):
+        if (device.type == type):
+            return True
+    return False
+
+def is_device_cpu(device):
+    return is_device_type(device, 'cpu')
+
+def is_device_mps(device):
+    return is_device_type(device, 'mps')
+
+def is_device_cuda(device):
+    return is_device_type(device, 'cuda')
+
+def should_use_fp16(device=None, model_params=0, prioritize_performance=True, manual_cast=False):
+    global directml_enabled
+
+    if device is not None:
+        if is_device_cpu(device):
+            return False
+
+    if FORCE_FP16:
+        return True
+
+    if device is not None:
+        if is_device_mps(device):
+            return True
+
+    if FORCE_FP32:
+        return False
+
+    if directml_enabled:
+        return False
+
+    if mps_mode():
+        return True
+
+    if cpu_mode():
+        return False
+
+    if is_intel_xpu():
+        return True
+
+    if torch.version.hip:
+        return True
+
+    props = torch.cuda.get_device_properties(device)
+    if props.major >= 8:
+        return True
+
+    if props.major < 6:
+        return False
+
+    #FP16 is confirmed working on a 1080 (GP104) and on latest pytorch actually seems faster than fp32
+    nvidia_10_series = ["1080", "1070", "titan x", "p3000", "p3200", "p4000", "p4200", "p5000", "p5200", "p6000", "1060", "1050", "p40", "p100", "p6", "p4"]
+    for x in nvidia_10_series:
+        if x in props.name.lower():
+            if WINDOWS or manual_cast:
+                return True
+            else:
+                return False #weird linux behavior where fp32 is faster
+
+    if manual_cast:
+        free_model_memory = maximum_vram_for_weights(device)
+        if (not prioritize_performance) or model_params * 4 > free_model_memory:
+            return True
+
+    if props.major < 7:
+        return False
+
+    #FP16 is just broken on these cards
+    nvidia_16_series = ["1660", "1650", "1630", "T500", "T550", "T600", "MX550", "MX450", "CMP 30HX", "T2000", "T1000", "T1200"]
+    for x in nvidia_16_series:
+        if x in props.name:
+            return False
+
+    return True
+
+def should_use_bf16(device=None, model_params=0, prioritize_performance=True, manual_cast=False):
+    if device is not None:
+        if is_device_cpu(device): #TODO ? bf16 works on CPU but is extremely slow
+            return False
+
+    if device is not None:
+        if is_device_mps(device):
+            return True
+
+    if FORCE_FP32:
+        return False
+
+    if directml_enabled:
+        return False
+
+    if mps_mode():
+        return True
+
+    if cpu_mode():
+        return False
+
+    if is_intel_xpu():
+        return True
+
+    props = torch.cuda.get_device_properties(device)
+    if props.major >= 8:
+        return True
+
+    bf16_works = torch.cuda.is_bf16_supported()
+
+    if bf16_works or manual_cast:
+        free_model_memory = maximum_vram_for_weights(device)
+        if (not prioritize_performance) or model_params * 4 > free_model_memory:
+            return True
+
+    return False
+
+def supports_fp8_compute(device=None):
+    props = torch.cuda.get_device_properties(device)
+    if props.major >= 9:
+        return True
+    if props.major < 8:
+        return False
+    if props.minor < 9:
+        return False
+    return True
+
+def soft_empty_cache(force=False):
+    global cpu_state
+    if cpu_state == CPUState.MPS:
+        torch.mps.empty_cache()
+    elif is_intel_xpu():
+        torch.xpu.empty_cache()
+    elif torch.cuda.is_available():
+        if force or is_nvidia(): #This seems to make things worse on ROCm so I only do it for cuda
+            torch.cuda.empty_cache()
+            torch.cuda.ipc_collect()
+
+def unload_all_models():
+    free_memory(1e30, get_torch_device())
+
+
+def resolve_lowvram_weight(weight, model, key): #TODO: remove
+    print("WARNING: The comfy.model_management.resolve_lowvram_weight function will be removed soon, please stop using it.")
+    return weight
+
+#TODO: might be cleaner to put this somewhere else
+import threading
+
+class InterruptProcessingException(Exception):
+    pass
+
+interrupt_processing_mutex = threading.RLock()
+
+interrupt_processing = False
+def interrupt_current_processing(value=True):
+    global interrupt_processing
+    global interrupt_processing_mutex
+    with interrupt_processing_mutex:
+        interrupt_processing = value
+
+def processing_interrupted():
+    global interrupt_processing
+    global interrupt_processing_mutex
+    with interrupt_processing_mutex:
+        return interrupt_processing
+
+def throw_exception_if_processing_interrupted():
+    global interrupt_processing
+    global interrupt_processing_mutex
+    with interrupt_processing_mutex:
+        if interrupt_processing:
+            interrupt_processing = False
+            raise InterruptProcessingException()
diff --git a/ComfyUI/comfy/model_patcher.py b/ComfyUI/comfy/model_patcher.py
new file mode 100644
index 0000000000000000000000000000000000000000..3f5d90273c42f658c4136f6f24a94093cd56d108
--- /dev/null
+++ b/ComfyUI/comfy/model_patcher.py
@@ -0,0 +1,532 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Comfy
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import torch
+import copy
+import inspect
+import logging
+import uuid
+import collections
+import math
+
+import comfy.utils
+import comfy.float
+import comfy.model_management
+import comfy.lora
+from comfy.types import UnetWrapperFunction
+
+def string_to_seed(data):
+    crc = 0xFFFFFFFF
+    for byte in data:
+        if isinstance(byte, str):
+            byte = ord(byte)
+        crc ^= byte
+        for _ in range(8):
+            if crc & 1:
+                crc = (crc >> 1) ^ 0xEDB88320
+            else:
+                crc >>= 1
+    return crc ^ 0xFFFFFFFF
+
+def set_model_options_patch_replace(model_options, patch, name, block_name, number, transformer_index=None):
+    to = model_options["transformer_options"].copy()
+
+    if "patches_replace" not in to:
+        to["patches_replace"] = {}
+    else:
+        to["patches_replace"] = to["patches_replace"].copy()
+
+    if name not in to["patches_replace"]:
+        to["patches_replace"][name] = {}
+    else:
+        to["patches_replace"][name] = to["patches_replace"][name].copy()
+
+    if transformer_index is not None:
+        block = (block_name, number, transformer_index)
+    else:
+        block = (block_name, number)
+    to["patches_replace"][name][block] = patch
+    model_options["transformer_options"] = to
+    return model_options
+
+def set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=False):
+    model_options["sampler_post_cfg_function"] = model_options.get("sampler_post_cfg_function", []) + [post_cfg_function]
+    if disable_cfg1_optimization:
+        model_options["disable_cfg1_optimization"] = True
+    return model_options
+
+def set_model_options_pre_cfg_function(model_options, pre_cfg_function, disable_cfg1_optimization=False):
+    model_options["sampler_pre_cfg_function"] = model_options.get("sampler_pre_cfg_function", []) + [pre_cfg_function]
+    if disable_cfg1_optimization:
+        model_options["disable_cfg1_optimization"] = True
+    return model_options
+
+def wipe_lowvram_weight(m):
+    if hasattr(m, "prev_comfy_cast_weights"):
+        m.comfy_cast_weights = m.prev_comfy_cast_weights
+        del m.prev_comfy_cast_weights
+    m.weight_function = None
+    m.bias_function = None
+
+class LowVramPatch:
+    def __init__(self, key, patches):
+        self.key = key
+        self.patches = patches
+    def __call__(self, weight):
+        return comfy.lora.calculate_weight(self.patches[self.key], weight, self.key, intermediate_dtype=weight.dtype)
+
+class ModelPatcher:
+    def __init__(self, model, load_device, offload_device, size=0, weight_inplace_update=False):
+        self.size = size
+        self.model = model
+        if not hasattr(self.model, 'device'):
+            logging.debug("Model doesn't have a device attribute.")
+            self.model.device = offload_device
+        elif self.model.device is None:
+            self.model.device = offload_device
+
+        self.patches = {}
+        self.backup = {}
+        self.object_patches = {}
+        self.object_patches_backup = {}
+        self.model_options = {"transformer_options":{}}
+        self.model_size()
+        self.load_device = load_device
+        self.offload_device = offload_device
+        self.weight_inplace_update = weight_inplace_update
+        self.patches_uuid = uuid.uuid4()
+
+        if not hasattr(self.model, 'model_loaded_weight_memory'):
+            self.model.model_loaded_weight_memory = 0
+
+        if not hasattr(self.model, 'lowvram_patch_counter'):
+            self.model.lowvram_patch_counter = 0
+
+        if not hasattr(self.model, 'model_lowvram'):
+            self.model.model_lowvram = False
+
+    def model_size(self):
+        if self.size > 0:
+            return self.size
+        self.size = comfy.model_management.module_size(self.model)
+        return self.size
+
+    def loaded_size(self):
+        return self.model.model_loaded_weight_memory
+
+    def lowvram_patch_counter(self):
+        return self.model.lowvram_patch_counter
+
+    def clone(self):
+        n = ModelPatcher(self.model, self.load_device, self.offload_device, self.size, weight_inplace_update=self.weight_inplace_update)
+        n.patches = {}
+        for k in self.patches:
+            n.patches[k] = self.patches[k][:]
+        n.patches_uuid = self.patches_uuid
+
+        n.object_patches = self.object_patches.copy()
+        n.model_options = copy.deepcopy(self.model_options)
+        n.backup = self.backup
+        n.object_patches_backup = self.object_patches_backup
+        return n
+
+    def is_clone(self, other):
+        if hasattr(other, 'model') and self.model is other.model:
+            return True
+        return False
+
+    def clone_has_same_weights(self, clone):
+        if not self.is_clone(clone):
+            return False
+
+        if len(self.patches) == 0 and len(clone.patches) == 0:
+            return True
+
+        if self.patches_uuid == clone.patches_uuid:
+            if len(self.patches) != len(clone.patches):
+                logging.warning("WARNING: something went wrong, same patch uuid but different length of patches.")
+            else:
+                return True
+
+    def memory_required(self, input_shape):
+        return self.model.memory_required(input_shape=input_shape)
+
+    def set_model_sampler_cfg_function(self, sampler_cfg_function, disable_cfg1_optimization=False):
+        if len(inspect.signature(sampler_cfg_function).parameters) == 3:
+            self.model_options["sampler_cfg_function"] = lambda args: sampler_cfg_function(args["cond"], args["uncond"], args["cond_scale"]) #Old way
+        else:
+            self.model_options["sampler_cfg_function"] = sampler_cfg_function
+        if disable_cfg1_optimization:
+            self.model_options["disable_cfg1_optimization"] = True
+
+    def set_model_sampler_post_cfg_function(self, post_cfg_function, disable_cfg1_optimization=False):
+        self.model_options = set_model_options_post_cfg_function(self.model_options, post_cfg_function, disable_cfg1_optimization)
+
+    def set_model_sampler_pre_cfg_function(self, pre_cfg_function, disable_cfg1_optimization=False):
+        self.model_options = set_model_options_pre_cfg_function(self.model_options, pre_cfg_function, disable_cfg1_optimization)
+
+    def set_model_unet_function_wrapper(self, unet_wrapper_function: UnetWrapperFunction):
+        self.model_options["model_function_wrapper"] = unet_wrapper_function
+
+    def set_model_denoise_mask_function(self, denoise_mask_function):
+        self.model_options["denoise_mask_function"] = denoise_mask_function
+
+    def set_model_patch(self, patch, name):
+        to = self.model_options["transformer_options"]
+        if "patches" not in to:
+            to["patches"] = {}
+        to["patches"][name] = to["patches"].get(name, []) + [patch]
+
+    def set_model_patch_replace(self, patch, name, block_name, number, transformer_index=None):
+        self.model_options = set_model_options_patch_replace(self.model_options, patch, name, block_name, number, transformer_index=transformer_index)
+
+    def set_model_attn1_patch(self, patch):
+        self.set_model_patch(patch, "attn1_patch")
+
+    def set_model_attn2_patch(self, patch):
+        self.set_model_patch(patch, "attn2_patch")
+
+    def set_model_attn1_replace(self, patch, block_name, number, transformer_index=None):
+        self.set_model_patch_replace(patch, "attn1", block_name, number, transformer_index)
+
+    def set_model_attn2_replace(self, patch, block_name, number, transformer_index=None):
+        self.set_model_patch_replace(patch, "attn2", block_name, number, transformer_index)
+
+    def set_model_attn1_output_patch(self, patch):
+        self.set_model_patch(patch, "attn1_output_patch")
+
+    def set_model_attn2_output_patch(self, patch):
+        self.set_model_patch(patch, "attn2_output_patch")
+
+    def set_model_input_block_patch(self, patch):
+        self.set_model_patch(patch, "input_block_patch")
+
+    def set_model_input_block_patch_after_skip(self, patch):
+        self.set_model_patch(patch, "input_block_patch_after_skip")
+
+    def set_model_output_block_patch(self, patch):
+        self.set_model_patch(patch, "output_block_patch")
+
+    def add_object_patch(self, name, obj):
+        self.object_patches[name] = obj
+
+    def get_model_object(self, name):
+        if name in self.object_patches:
+            return self.object_patches[name]
+        else:
+            if name in self.object_patches_backup:
+                return self.object_patches_backup[name]
+            else:
+                return comfy.utils.get_attr(self.model, name)
+
+    def model_patches_to(self, device):
+        to = self.model_options["transformer_options"]
+        if "patches" in to:
+            patches = to["patches"]
+            for name in patches:
+                patch_list = patches[name]
+                for i in range(len(patch_list)):
+                    if hasattr(patch_list[i], "to"):
+                        patch_list[i] = patch_list[i].to(device)
+        if "patches_replace" in to:
+            patches = to["patches_replace"]
+            for name in patches:
+                patch_list = patches[name]
+                for k in patch_list:
+                    if hasattr(patch_list[k], "to"):
+                        patch_list[k] = patch_list[k].to(device)
+        if "model_function_wrapper" in self.model_options:
+            wrap_func = self.model_options["model_function_wrapper"]
+            if hasattr(wrap_func, "to"):
+                self.model_options["model_function_wrapper"] = wrap_func.to(device)
+
+    def model_dtype(self):
+        if hasattr(self.model, "get_dtype"):
+            return self.model.get_dtype()
+
+    def add_patches(self, patches, strength_patch=1.0, strength_model=1.0):
+        p = set()
+        model_sd = self.model.state_dict()
+        for k in patches:
+            offset = None
+            function = None
+            if isinstance(k, str):
+                key = k
+            else:
+                offset = k[1]
+                key = k[0]
+                if len(k) > 2:
+                    function = k[2]
+
+            if key in model_sd:
+                p.add(k)
+                current_patches = self.patches.get(key, [])
+                current_patches.append((strength_patch, patches[k], strength_model, offset, function))
+                self.patches[key] = current_patches
+
+        self.patches_uuid = uuid.uuid4()
+        return list(p)
+
+    def get_key_patches(self, filter_prefix=None):
+        comfy.model_management.unload_model_clones(self)
+        model_sd = self.model_state_dict()
+        p = {}
+        for k in model_sd:
+            if filter_prefix is not None:
+                if not k.startswith(filter_prefix):
+                    continue
+            if k in self.patches:
+                p[k] = [model_sd[k]] + self.patches[k]
+            else:
+                p[k] = (model_sd[k],)
+        return p
+
+    def model_state_dict(self, filter_prefix=None):
+        sd = self.model.state_dict()
+        keys = list(sd.keys())
+        if filter_prefix is not None:
+            for k in keys:
+                if not k.startswith(filter_prefix):
+                    sd.pop(k)
+        return sd
+
+    def patch_weight_to_device(self, key, device_to=None, inplace_update=False):
+        if key not in self.patches:
+            return
+
+        weight = comfy.utils.get_attr(self.model, key)
+
+        inplace_update = self.weight_inplace_update or inplace_update
+
+        if key not in self.backup:
+            self.backup[key] = collections.namedtuple('Dimension', ['weight', 'inplace_update'])(weight.to(device=self.offload_device, copy=inplace_update), inplace_update)
+
+        if device_to is not None:
+            temp_weight = comfy.model_management.cast_to_device(weight, device_to, torch.float32, copy=True)
+        else:
+            temp_weight = weight.to(torch.float32, copy=True)
+        out_weight = comfy.lora.calculate_weight(self.patches[key], temp_weight, key)
+        out_weight = comfy.float.stochastic_rounding(out_weight, weight.dtype, seed=string_to_seed(key))
+        if inplace_update:
+            comfy.utils.copy_to_param(self.model, key, out_weight)
+        else:
+            comfy.utils.set_attr_param(self.model, key, out_weight)
+
+    def load(self, device_to=None, lowvram_model_memory=0, force_patch_weights=False, full_load=False):
+        mem_counter = 0
+        patch_counter = 0
+        lowvram_counter = 0
+        loading = []
+        for n, m in self.model.named_modules():
+            if hasattr(m, "comfy_cast_weights") or hasattr(m, "weight"):
+                loading.append((comfy.model_management.module_size(m), n, m))
+
+        load_completely = []
+        loading.sort(reverse=True)
+        for x in loading:
+            n = x[1]
+            m = x[2]
+            module_mem = x[0]
+
+            lowvram_weight = False
+
+            if not full_load and hasattr(m, "comfy_cast_weights"):
+                if mem_counter + module_mem >= lowvram_model_memory:
+                    lowvram_weight = True
+                    lowvram_counter += 1
+                    if hasattr(m, "prev_comfy_cast_weights"): #Already lowvramed
+                        continue
+
+            weight_key = "{}.weight".format(n)
+            bias_key = "{}.bias".format(n)
+
+            if lowvram_weight:
+                if weight_key in self.patches:
+                    if force_patch_weights:
+                        self.patch_weight_to_device(weight_key)
+                    else:
+                        m.weight_function = LowVramPatch(weight_key, self.patches)
+                        patch_counter += 1
+                if bias_key in self.patches:
+                    if force_patch_weights:
+                        self.patch_weight_to_device(bias_key)
+                    else:
+                        m.bias_function = LowVramPatch(bias_key, self.patches)
+                        patch_counter += 1
+
+                m.prev_comfy_cast_weights = m.comfy_cast_weights
+                m.comfy_cast_weights = True
+            else:
+                if hasattr(m, "comfy_cast_weights"):
+                    if m.comfy_cast_weights:
+                        wipe_lowvram_weight(m)
+
+                if hasattr(m, "weight"):
+                    mem_counter += module_mem
+                    load_completely.append((module_mem, n, m))
+
+        load_completely.sort(reverse=True)
+        for x in load_completely:
+            n = x[1]
+            m = x[2]
+            weight_key = "{}.weight".format(n)
+            bias_key = "{}.bias".format(n)
+            if hasattr(m, "comfy_patched_weights"):
+                if m.comfy_patched_weights == True:
+                    continue
+
+            self.patch_weight_to_device(weight_key, device_to=device_to)
+            self.patch_weight_to_device(bias_key, device_to=device_to)
+            logging.debug("lowvram: loaded module regularly {} {}".format(n, m))
+            m.comfy_patched_weights = True
+
+        for x in load_completely:
+            x[2].to(device_to)
+
+        if lowvram_counter > 0:
+            logging.info("loaded partially {} {} {}".format(lowvram_model_memory / (1024 * 1024), mem_counter / (1024 * 1024), patch_counter))
+            self.model.model_lowvram = True
+        else:
+            logging.info("loaded completely {} {} {}".format(lowvram_model_memory / (1024 * 1024), mem_counter / (1024 * 1024), full_load))
+            self.model.model_lowvram = False
+            if full_load:
+                self.model.to(device_to)
+                mem_counter = self.model_size()
+
+        self.model.lowvram_patch_counter += patch_counter
+        self.model.device = device_to
+        self.model.model_loaded_weight_memory = mem_counter
+
+    def patch_model(self, device_to=None, lowvram_model_memory=0, load_weights=True, force_patch_weights=False):
+        for k in self.object_patches:
+            old = comfy.utils.set_attr(self.model, k, self.object_patches[k])
+            if k not in self.object_patches_backup:
+                self.object_patches_backup[k] = old
+
+        if lowvram_model_memory == 0:
+            full_load = True
+        else:
+            full_load = False
+
+        if load_weights:
+            self.load(device_to, lowvram_model_memory=lowvram_model_memory, force_patch_weights=force_patch_weights, full_load=full_load)
+        return self.model
+
+    def unpatch_model(self, device_to=None, unpatch_weights=True):
+        if unpatch_weights:
+            if self.model.model_lowvram:
+                for m in self.model.modules():
+                    wipe_lowvram_weight(m)
+
+                self.model.model_lowvram = False
+                self.model.lowvram_patch_counter = 0
+
+            keys = list(self.backup.keys())
+
+            for k in keys:
+                bk = self.backup[k]
+                if bk.inplace_update:
+                    comfy.utils.copy_to_param(self.model, k, bk.weight)
+                else:
+                    comfy.utils.set_attr_param(self.model, k, bk.weight)
+
+            self.backup.clear()
+
+            if device_to is not None:
+                self.model.to(device_to)
+                self.model.device = device_to
+            self.model.model_loaded_weight_memory = 0
+
+            for m in self.model.modules():
+                if hasattr(m, "comfy_patched_weights"):
+                    del m.comfy_patched_weights
+
+        keys = list(self.object_patches_backup.keys())
+        for k in keys:
+            comfy.utils.set_attr(self.model, k, self.object_patches_backup[k])
+
+        self.object_patches_backup.clear()
+
+    def partially_unload(self, device_to, memory_to_free=0):
+        memory_freed = 0
+        patch_counter = 0
+        unload_list = []
+
+        for n, m in self.model.named_modules():
+            shift_lowvram = False
+            if hasattr(m, "comfy_cast_weights"):
+                module_mem = comfy.model_management.module_size(m)
+                unload_list.append((module_mem, n, m))
+
+        unload_list.sort()
+        for unload in unload_list:
+            if memory_to_free < memory_freed:
+                break
+            module_mem = unload[0]
+            n = unload[1]
+            m = unload[2]
+            weight_key = "{}.weight".format(n)
+            bias_key = "{}.bias".format(n)
+
+            if hasattr(m, "comfy_patched_weights") and m.comfy_patched_weights == True:
+                for key in [weight_key, bias_key]:
+                    bk = self.backup.get(key, None)
+                    if bk is not None:
+                        if bk.inplace_update:
+                            comfy.utils.copy_to_param(self.model, key, bk.weight)
+                        else:
+                            comfy.utils.set_attr_param(self.model, key, bk.weight)
+                        self.backup.pop(key)
+
+                m.to(device_to)
+                if weight_key in self.patches:
+                    m.weight_function = LowVramPatch(weight_key, self.patches)
+                    patch_counter += 1
+                if bias_key in self.patches:
+                    m.bias_function = LowVramPatch(bias_key, self.patches)
+                    patch_counter += 1
+
+                m.prev_comfy_cast_weights = m.comfy_cast_weights
+                m.comfy_cast_weights = True
+                m.comfy_patched_weights = False
+                memory_freed += module_mem
+                logging.debug("freed {}".format(n))
+
+        self.model.model_lowvram = True
+        self.model.lowvram_patch_counter += patch_counter
+        self.model.model_loaded_weight_memory -= memory_freed
+        return memory_freed
+
+    def partially_load(self, device_to, extra_memory=0):
+        self.unpatch_model(unpatch_weights=False)
+        self.patch_model(load_weights=False)
+        full_load = False
+        if self.model.model_lowvram == False:
+            return 0
+        if self.model.model_loaded_weight_memory + extra_memory > self.model_size():
+            full_load = True
+        current_used = self.model.model_loaded_weight_memory
+        self.load(device_to, lowvram_model_memory=current_used + extra_memory, full_load=full_load)
+        return self.model.model_loaded_weight_memory - current_used
+
+    def current_loaded_device(self):
+        return self.model.device
+
+    def calculate_weight(self, patches, weight, key, intermediate_dtype=torch.float32):
+        print("WARNING the ModelPatcher.calculate_weight function is deprecated, please use: comfy.lora.calculate_weight instead")
+        return comfy.lora.calculate_weight(patches, weight, key, intermediate_dtype=intermediate_dtype)
diff --git a/ComfyUI/comfy/model_sampling.py b/ComfyUI/comfy/model_sampling.py
new file mode 100644
index 0000000000000000000000000000000000000000..4a0f2db607235d87e19ae5eb01ace993e20cf464
--- /dev/null
+++ b/ComfyUI/comfy/model_sampling.py
@@ -0,0 +1,314 @@
+import torch
+from comfy.ldm.modules.diffusionmodules.util import make_beta_schedule
+import math
+
+class EPS:
+    def calculate_input(self, sigma, noise):
+        sigma = sigma.view(sigma.shape[:1] + (1,) * (noise.ndim - 1))
+        return noise / (sigma ** 2 + self.sigma_data ** 2) ** 0.5
+
+    def calculate_denoised(self, sigma, model_output, model_input):
+        sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1))
+        return model_input - model_output * sigma
+
+    def noise_scaling(self, sigma, noise, latent_image, max_denoise=False):
+        if max_denoise:
+            noise = noise * torch.sqrt(1.0 + sigma ** 2.0)
+        else:
+            noise = noise * sigma
+
+        noise += latent_image
+        return noise
+
+    def inverse_noise_scaling(self, sigma, latent):
+        return latent
+
+class V_PREDICTION(EPS):
+    def calculate_denoised(self, sigma, model_output, model_input):
+        sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1))
+        return model_input * self.sigma_data ** 2 / (sigma ** 2 + self.sigma_data ** 2) - model_output * sigma * self.sigma_data / (sigma ** 2 + self.sigma_data ** 2) ** 0.5
+
+class EDM(V_PREDICTION):
+    def calculate_denoised(self, sigma, model_output, model_input):
+        sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1))
+        return model_input * self.sigma_data ** 2 / (sigma ** 2 + self.sigma_data ** 2) + model_output * sigma * self.sigma_data / (sigma ** 2 + self.sigma_data ** 2) ** 0.5
+
+class CONST:
+    def calculate_input(self, sigma, noise):
+        return noise
+
+    def calculate_denoised(self, sigma, model_output, model_input):
+        sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1))
+        return model_input - model_output * sigma
+
+    def noise_scaling(self, sigma, noise, latent_image, max_denoise=False):
+        return sigma * noise + (1.0 - sigma) * latent_image
+
+    def inverse_noise_scaling(self, sigma, latent):
+        return latent / (1.0 - sigma)
+
+class ModelSamplingDiscrete(torch.nn.Module):
+    def __init__(self, model_config=None):
+        super().__init__()
+
+        if model_config is not None:
+            sampling_settings = model_config.sampling_settings
+        else:
+            sampling_settings = {}
+
+        beta_schedule = sampling_settings.get("beta_schedule", "linear")
+        linear_start = sampling_settings.get("linear_start", 0.00085)
+        linear_end = sampling_settings.get("linear_end", 0.012)
+        timesteps = sampling_settings.get("timesteps", 1000)
+
+        self._register_schedule(given_betas=None, beta_schedule=beta_schedule, timesteps=timesteps, linear_start=linear_start, linear_end=linear_end, cosine_s=8e-3)
+        self.sigma_data = 1.0
+
+    def _register_schedule(self, given_betas=None, beta_schedule="linear", timesteps=1000,
+                          linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3):
+        if given_betas is not None:
+            betas = given_betas
+        else:
+            betas = make_beta_schedule(beta_schedule, timesteps, linear_start=linear_start, linear_end=linear_end, cosine_s=cosine_s)
+        alphas = 1. - betas
+        alphas_cumprod = torch.cumprod(alphas, dim=0)
+
+        timesteps, = betas.shape
+        self.num_timesteps = int(timesteps)
+        self.linear_start = linear_start
+        self.linear_end = linear_end
+
+        # self.register_buffer('betas', torch.tensor(betas, dtype=torch.float32))
+        # self.register_buffer('alphas_cumprod', torch.tensor(alphas_cumprod, dtype=torch.float32))
+        # self.register_buffer('alphas_cumprod_prev', torch.tensor(alphas_cumprod_prev, dtype=torch.float32))
+
+        sigmas = ((1 - alphas_cumprod) / alphas_cumprod) ** 0.5
+        self.set_sigmas(sigmas)
+
+    def set_sigmas(self, sigmas):
+        self.register_buffer('sigmas', sigmas.float())
+        self.register_buffer('log_sigmas', sigmas.log().float())
+
+    @property
+    def sigma_min(self):
+        return self.sigmas[0]
+
+    @property
+    def sigma_max(self):
+        return self.sigmas[-1]
+
+    def timestep(self, sigma):
+        log_sigma = sigma.log()
+        dists = log_sigma.to(self.log_sigmas.device) - self.log_sigmas[:, None]
+        return dists.abs().argmin(dim=0).view(sigma.shape).to(sigma.device)
+
+    def sigma(self, timestep):
+        t = torch.clamp(timestep.float().to(self.log_sigmas.device), min=0, max=(len(self.sigmas) - 1))
+        low_idx = t.floor().long()
+        high_idx = t.ceil().long()
+        w = t.frac()
+        log_sigma = (1 - w) * self.log_sigmas[low_idx] + w * self.log_sigmas[high_idx]
+        return log_sigma.exp().to(timestep.device)
+
+    def percent_to_sigma(self, percent):
+        if percent <= 0.0:
+            return 999999999.9
+        if percent >= 1.0:
+            return 0.0
+        percent = 1.0 - percent
+        return self.sigma(torch.tensor(percent * 999.0)).item()
+
+class ModelSamplingDiscreteEDM(ModelSamplingDiscrete):
+    def timestep(self, sigma):
+        return 0.25 * sigma.log()
+
+    def sigma(self, timestep):
+        return (timestep / 0.25).exp()
+
+class ModelSamplingContinuousEDM(torch.nn.Module):
+    def __init__(self, model_config=None):
+        super().__init__()
+        if model_config is not None:
+            sampling_settings = model_config.sampling_settings
+        else:
+            sampling_settings = {}
+
+        sigma_min = sampling_settings.get("sigma_min", 0.002)
+        sigma_max = sampling_settings.get("sigma_max", 120.0)
+        sigma_data = sampling_settings.get("sigma_data", 1.0)
+        self.set_parameters(sigma_min, sigma_max, sigma_data)
+
+    def set_parameters(self, sigma_min, sigma_max, sigma_data):
+        self.sigma_data = sigma_data
+        sigmas = torch.linspace(math.log(sigma_min), math.log(sigma_max), 1000).exp()
+
+        self.register_buffer('sigmas', sigmas) #for compatibility with some schedulers
+        self.register_buffer('log_sigmas', sigmas.log())
+
+    @property
+    def sigma_min(self):
+        return self.sigmas[0]
+
+    @property
+    def sigma_max(self):
+        return self.sigmas[-1]
+
+    def timestep(self, sigma):
+        return 0.25 * sigma.log()
+
+    def sigma(self, timestep):
+        return (timestep / 0.25).exp()
+
+    def percent_to_sigma(self, percent):
+        if percent <= 0.0:
+            return 999999999.9
+        if percent >= 1.0:
+            return 0.0
+        percent = 1.0 - percent
+
+        log_sigma_min = math.log(self.sigma_min)
+        return math.exp((math.log(self.sigma_max) - log_sigma_min) * percent + log_sigma_min)
+
+
+class ModelSamplingContinuousV(ModelSamplingContinuousEDM):
+    def timestep(self, sigma):
+        return sigma.atan() / math.pi * 2
+
+    def sigma(self, timestep):
+        return (timestep * math.pi / 2).tan()
+
+
+def time_snr_shift(alpha, t):
+    if alpha == 1.0:
+        return t
+    return alpha * t / (1 + (alpha - 1) * t)
+
+class ModelSamplingDiscreteFlow(torch.nn.Module):
+    def __init__(self, model_config=None):
+        super().__init__()
+        if model_config is not None:
+            sampling_settings = model_config.sampling_settings
+        else:
+            sampling_settings = {}
+
+        self.set_parameters(shift=sampling_settings.get("shift", 1.0), multiplier=sampling_settings.get("multiplier", 1000))
+
+    def set_parameters(self, shift=1.0, timesteps=1000, multiplier=1000):
+        self.shift = shift
+        self.multiplier = multiplier
+        ts = self.sigma((torch.arange(1, timesteps + 1, 1) / timesteps) * multiplier)
+        self.register_buffer('sigmas', ts)
+
+    @property
+    def sigma_min(self):
+        return self.sigmas[0]
+
+    @property
+    def sigma_max(self):
+        return self.sigmas[-1]
+
+    def timestep(self, sigma):
+        return sigma * self.multiplier
+
+    def sigma(self, timestep):
+        return time_snr_shift(self.shift, timestep / self.multiplier)
+
+    def percent_to_sigma(self, percent):
+        if percent <= 0.0:
+            return 1.0
+        if percent >= 1.0:
+            return 0.0
+        return 1.0 - percent
+
+class StableCascadeSampling(ModelSamplingDiscrete):
+    def __init__(self, model_config=None):
+        super().__init__()
+
+        if model_config is not None:
+            sampling_settings = model_config.sampling_settings
+        else:
+            sampling_settings = {}
+
+        self.set_parameters(sampling_settings.get("shift", 1.0))
+
+    def set_parameters(self, shift=1.0, cosine_s=8e-3):
+        self.shift = shift
+        self.cosine_s = torch.tensor(cosine_s)
+        self._init_alpha_cumprod = torch.cos(self.cosine_s / (1 + self.cosine_s) * torch.pi * 0.5) ** 2
+
+        #This part is just for compatibility with some schedulers in the codebase
+        self.num_timesteps = 10000
+        sigmas = torch.empty((self.num_timesteps), dtype=torch.float32)
+        for x in range(self.num_timesteps):
+            t = (x + 1) / self.num_timesteps
+            sigmas[x] = self.sigma(t)
+
+        self.set_sigmas(sigmas)
+
+    def sigma(self, timestep):
+        alpha_cumprod = (torch.cos((timestep + self.cosine_s) / (1 + self.cosine_s) * torch.pi * 0.5) ** 2 / self._init_alpha_cumprod)
+
+        if self.shift != 1.0:
+            var = alpha_cumprod
+            logSNR = (var/(1-var)).log()
+            logSNR += 2 * torch.log(1.0 / torch.tensor(self.shift))
+            alpha_cumprod = logSNR.sigmoid()
+
+        alpha_cumprod = alpha_cumprod.clamp(0.0001, 0.9999)
+        return ((1 - alpha_cumprod) / alpha_cumprod) ** 0.5
+
+    def timestep(self, sigma):
+        var = 1 / ((sigma * sigma) + 1)
+        var = var.clamp(0, 1.0)
+        s, min_var = self.cosine_s.to(var.device), self._init_alpha_cumprod.to(var.device)
+        t = (((var * min_var) ** 0.5).acos() / (torch.pi * 0.5)) * (1 + s) - s
+        return t
+
+    def percent_to_sigma(self, percent):
+        if percent <= 0.0:
+            return 999999999.9
+        if percent >= 1.0:
+            return 0.0
+
+        percent = 1.0 - percent
+        return self.sigma(torch.tensor(percent))
+
+
+def flux_time_shift(mu: float, sigma: float, t):
+    return math.exp(mu) / (math.exp(mu) + (1 / t - 1) ** sigma)
+
+class ModelSamplingFlux(torch.nn.Module):
+    def __init__(self, model_config=None):
+        super().__init__()
+        if model_config is not None:
+            sampling_settings = model_config.sampling_settings
+        else:
+            sampling_settings = {}
+
+        self.set_parameters(shift=sampling_settings.get("shift", 1.15))
+
+    def set_parameters(self, shift=1.15, timesteps=10000):
+        self.shift = shift
+        ts = self.sigma((torch.arange(1, timesteps + 1, 1) / timesteps))
+        self.register_buffer('sigmas', ts)
+
+    @property
+    def sigma_min(self):
+        return self.sigmas[0]
+
+    @property
+    def sigma_max(self):
+        return self.sigmas[-1]
+
+    def timestep(self, sigma):
+        return sigma
+
+    def sigma(self, timestep):
+        return flux_time_shift(self.shift, 1.0, timestep)
+
+    def percent_to_sigma(self, percent):
+        if percent <= 0.0:
+            return 1.0
+        if percent >= 1.0:
+            return 0.0
+        return 1.0 - percent
diff --git a/ComfyUI/comfy/ops.py b/ComfyUI/comfy/ops.py
new file mode 100644
index 0000000000000000000000000000000000000000..43ed55adb007db4a7ce7be10f2b1aa778fdf95c3
--- /dev/null
+++ b/ComfyUI/comfy/ops.py
@@ -0,0 +1,309 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Stability AI
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import torch
+import comfy.model_management
+from comfy.cli_args import args
+
+def cast_to(weight, dtype=None, device=None, non_blocking=False, copy=False):
+    if device is None or weight.device == device:
+        if not copy:
+            if dtype is None or weight.dtype == dtype:
+                return weight
+        return weight.to(dtype=dtype, copy=copy)
+
+    r = torch.empty_like(weight, dtype=dtype, device=device)
+    r.copy_(weight, non_blocking=non_blocking)
+    return r
+
+def cast_to_input(weight, input, non_blocking=False, copy=True):
+    return cast_to(weight, input.dtype, input.device, non_blocking=non_blocking, copy=copy)
+
+def cast_bias_weight(s, input=None, dtype=None, device=None, bias_dtype=None):
+    if input is not None:
+        if dtype is None:
+            dtype = input.dtype
+        if bias_dtype is None:
+            bias_dtype = dtype
+        if device is None:
+            device = input.device
+
+    bias = None
+    non_blocking = comfy.model_management.device_supports_non_blocking(device)
+    if s.bias is not None:
+        has_function = s.bias_function is not None
+        bias = cast_to(s.bias, bias_dtype, device, non_blocking=non_blocking, copy=has_function)
+        if has_function:
+            bias = s.bias_function(bias)
+
+    has_function = s.weight_function is not None
+    weight = cast_to(s.weight, dtype, device, non_blocking=non_blocking, copy=has_function)
+    if has_function:
+        weight = s.weight_function(weight)
+    return weight, bias
+
+class CastWeightBiasOp:
+    comfy_cast_weights = False
+    weight_function = None
+    bias_function = None
+
+class disable_weight_init:
+    class Linear(torch.nn.Linear, CastWeightBiasOp):
+        def reset_parameters(self):
+            return None
+
+        def forward_comfy_cast_weights(self, input):
+            weight, bias = cast_bias_weight(self, input)
+            return torch.nn.functional.linear(input, weight, bias)
+
+        def forward(self, *args, **kwargs):
+            if self.comfy_cast_weights:
+                return self.forward_comfy_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
+    class Conv1d(torch.nn.Conv1d, CastWeightBiasOp):
+        def reset_parameters(self):
+            return None
+
+        def forward_comfy_cast_weights(self, input):
+            weight, bias = cast_bias_weight(self, input)
+            return self._conv_forward(input, weight, bias)
+
+        def forward(self, *args, **kwargs):
+            if self.comfy_cast_weights:
+                return self.forward_comfy_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
+    class Conv2d(torch.nn.Conv2d, CastWeightBiasOp):
+        def reset_parameters(self):
+            return None
+
+        def forward_comfy_cast_weights(self, input):
+            weight, bias = cast_bias_weight(self, input)
+            return self._conv_forward(input, weight, bias)
+
+        def forward(self, *args, **kwargs):
+            if self.comfy_cast_weights:
+                return self.forward_comfy_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
+    class Conv3d(torch.nn.Conv3d, CastWeightBiasOp):
+        def reset_parameters(self):
+            return None
+
+        def forward_comfy_cast_weights(self, input):
+            weight, bias = cast_bias_weight(self, input)
+            return self._conv_forward(input, weight, bias)
+
+        def forward(self, *args, **kwargs):
+            if self.comfy_cast_weights:
+                return self.forward_comfy_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
+    class GroupNorm(torch.nn.GroupNorm, CastWeightBiasOp):
+        def reset_parameters(self):
+            return None
+
+        def forward_comfy_cast_weights(self, input):
+            weight, bias = cast_bias_weight(self, input)
+            return torch.nn.functional.group_norm(input, self.num_groups, weight, bias, self.eps)
+
+        def forward(self, *args, **kwargs):
+            if self.comfy_cast_weights:
+                return self.forward_comfy_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
+
+    class LayerNorm(torch.nn.LayerNorm, CastWeightBiasOp):
+        def reset_parameters(self):
+            return None
+
+        def forward_comfy_cast_weights(self, input):
+            if self.weight is not None:
+                weight, bias = cast_bias_weight(self, input)
+            else:
+                weight = None
+                bias = None
+            return torch.nn.functional.layer_norm(input, self.normalized_shape, weight, bias, self.eps)
+
+        def forward(self, *args, **kwargs):
+            if self.comfy_cast_weights:
+                return self.forward_comfy_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
+    class ConvTranspose2d(torch.nn.ConvTranspose2d, CastWeightBiasOp):
+        def reset_parameters(self):
+            return None
+
+        def forward_comfy_cast_weights(self, input, output_size=None):
+            num_spatial_dims = 2
+            output_padding = self._output_padding(
+                input, output_size, self.stride, self.padding, self.kernel_size,
+                num_spatial_dims, self.dilation)
+
+            weight, bias = cast_bias_weight(self, input)
+            return torch.nn.functional.conv_transpose2d(
+                input, weight, bias, self.stride, self.padding,
+                output_padding, self.groups, self.dilation)
+
+        def forward(self, *args, **kwargs):
+            if self.comfy_cast_weights:
+                return self.forward_comfy_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
+    class ConvTranspose1d(torch.nn.ConvTranspose1d, CastWeightBiasOp):
+        def reset_parameters(self):
+            return None
+
+        def forward_comfy_cast_weights(self, input, output_size=None):
+            num_spatial_dims = 1
+            output_padding = self._output_padding(
+                input, output_size, self.stride, self.padding, self.kernel_size,
+                num_spatial_dims, self.dilation)
+
+            weight, bias = cast_bias_weight(self, input)
+            return torch.nn.functional.conv_transpose1d(
+                input, weight, bias, self.stride, self.padding,
+                output_padding, self.groups, self.dilation)
+
+        def forward(self, *args, **kwargs):
+            if self.comfy_cast_weights:
+                return self.forward_comfy_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
+    class Embedding(torch.nn.Embedding, CastWeightBiasOp):
+        def reset_parameters(self):
+            self.bias = None
+            return None
+
+        def forward_comfy_cast_weights(self, input, out_dtype=None):
+            output_dtype = out_dtype
+            if self.weight.dtype == torch.float16 or self.weight.dtype == torch.bfloat16:
+                out_dtype = None
+            weight, bias = cast_bias_weight(self, device=input.device, dtype=out_dtype)
+            return torch.nn.functional.embedding(input, weight, self.padding_idx, self.max_norm, self.norm_type, self.scale_grad_by_freq, self.sparse).to(dtype=output_dtype)
+
+        def forward(self, *args, **kwargs):
+            if self.comfy_cast_weights:
+                return self.forward_comfy_cast_weights(*args, **kwargs)
+            else:
+                if "out_dtype" in kwargs:
+                    kwargs.pop("out_dtype")
+                return super().forward(*args, **kwargs)
+
+    @classmethod
+    def conv_nd(s, dims, *args, **kwargs):
+        if dims == 2:
+            return s.Conv2d(*args, **kwargs)
+        elif dims == 3:
+            return s.Conv3d(*args, **kwargs)
+        else:
+            raise ValueError(f"unsupported dimensions: {dims}")
+
+
+class manual_cast(disable_weight_init):
+    class Linear(disable_weight_init.Linear):
+        comfy_cast_weights = True
+
+    class Conv1d(disable_weight_init.Conv1d):
+        comfy_cast_weights = True
+
+    class Conv2d(disable_weight_init.Conv2d):
+        comfy_cast_weights = True
+
+    class Conv3d(disable_weight_init.Conv3d):
+        comfy_cast_weights = True
+
+    class GroupNorm(disable_weight_init.GroupNorm):
+        comfy_cast_weights = True
+
+    class LayerNorm(disable_weight_init.LayerNorm):
+        comfy_cast_weights = True
+
+    class ConvTranspose2d(disable_weight_init.ConvTranspose2d):
+        comfy_cast_weights = True
+
+    class ConvTranspose1d(disable_weight_init.ConvTranspose1d):
+        comfy_cast_weights = True
+
+    class Embedding(disable_weight_init.Embedding):
+        comfy_cast_weights = True
+
+
+def fp8_linear(self, input):
+    dtype = self.weight.dtype
+    if dtype not in [torch.float8_e4m3fn]:
+        return None
+
+    if len(input.shape) == 3:
+        inn = input.reshape(-1, input.shape[2]).to(dtype)
+        non_blocking = comfy.model_management.device_supports_non_blocking(input.device)
+        w, bias = cast_bias_weight(self, input, dtype=dtype, bias_dtype=input.dtype)
+        w = w.t()
+
+        scale_weight = self.scale_weight
+        scale_input = self.scale_input
+        if scale_weight is None:
+            scale_weight = torch.ones((1), device=input.device, dtype=torch.float32)
+            if scale_input is None:
+                scale_input = scale_weight
+        if scale_input is None:
+            scale_input = torch.ones((1), device=input.device, dtype=torch.float32)
+
+        if bias is not None:
+            o = torch._scaled_mm(inn, w, out_dtype=input.dtype, bias=bias, scale_a=scale_input, scale_b=scale_weight)
+        else:
+            o = torch._scaled_mm(inn, w, out_dtype=input.dtype, scale_a=scale_input, scale_b=scale_weight)
+
+        if isinstance(o, tuple):
+            o = o[0]
+
+        return o.reshape((-1, input.shape[1], self.weight.shape[0]))
+    return None
+
+class fp8_ops(manual_cast):
+    class Linear(manual_cast.Linear):
+        def reset_parameters(self):
+            self.scale_weight = None
+            self.scale_input = None
+            return None
+
+        def forward_comfy_cast_weights(self, input):
+            out = fp8_linear(self, input)
+            if out is not None:
+                return out
+
+            weight, bias = cast_bias_weight(self, input)
+            return torch.nn.functional.linear(input, weight, bias)
+
+
+def pick_operations(weight_dtype, compute_dtype, load_device=None):
+    if compute_dtype is None or weight_dtype == compute_dtype:
+        return disable_weight_init
+    if args.fast:
+        if comfy.model_management.supports_fp8_compute(load_device):
+            return fp8_ops
+    return manual_cast
diff --git a/ComfyUI/comfy/options.py b/ComfyUI/comfy/options.py
new file mode 100644
index 0000000000000000000000000000000000000000..f7f8af41ebd8b9669ef0ef21827ea6195bcb4752
--- /dev/null
+++ b/ComfyUI/comfy/options.py
@@ -0,0 +1,6 @@
+
+args_parsing = False
+
+def enable_args_parsing(enable=True):
+    global args_parsing
+    args_parsing = enable
diff --git a/ComfyUI/comfy/sample.py b/ComfyUI/comfy/sample.py
new file mode 100644
index 0000000000000000000000000000000000000000..98dcaca7f38e76754bdce7fffaccf620fd0ba497
--- /dev/null
+++ b/ComfyUI/comfy/sample.py
@@ -0,0 +1,50 @@
+import torch
+import comfy.model_management
+import comfy.samplers
+import comfy.utils
+import numpy as np
+import logging
+
+def prepare_noise(latent_image, seed, noise_inds=None):
+    """
+    creates random noise given a latent image and a seed.
+    optional arg skip can be used to skip and discard x number of noise generations for a given seed
+    """
+    generator = torch.manual_seed(seed)
+    if noise_inds is None:
+        return torch.randn(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout, generator=generator, device="cpu")
+    
+    unique_inds, inverse = np.unique(noise_inds, return_inverse=True)
+    noises = []
+    for i in range(unique_inds[-1]+1):
+        noise = torch.randn([1] + list(latent_image.size())[1:], dtype=latent_image.dtype, layout=latent_image.layout, generator=generator, device="cpu")
+        if i in unique_inds:
+            noises.append(noise)
+    noises = [noises[i] for i in inverse]
+    noises = torch.cat(noises, axis=0)
+    return noises
+
+def fix_empty_latent_channels(model, latent_image):
+    latent_channels = model.get_model_object("latent_format").latent_channels #Resize the empty latent image so it has the right number of channels
+    if latent_channels != latent_image.shape[1] and torch.count_nonzero(latent_image) == 0:
+        latent_image = comfy.utils.repeat_to_batch_size(latent_image, latent_channels, dim=1)
+    return latent_image
+
+def prepare_sampling(model, noise_shape, positive, negative, noise_mask):
+    logging.warning("Warning: comfy.sample.prepare_sampling isn't used anymore and can be removed")
+    return model, positive, negative, noise_mask, []
+
+def cleanup_additional_models(models):
+    logging.warning("Warning: comfy.sample.cleanup_additional_models isn't used anymore and can be removed")
+
+def sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False, noise_mask=None, sigmas=None, callback=None, disable_pbar=False, seed=None):
+    sampler = comfy.samplers.KSampler(model, steps=steps, device=model.load_device, sampler=sampler_name, scheduler=scheduler, denoise=denoise, model_options=model.model_options)
+
+    samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
+    samples = samples.to(comfy.model_management.intermediate_device())
+    return samples
+
+def sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=None, callback=None, disable_pbar=False, seed=None):
+    samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
+    samples = samples.to(comfy.model_management.intermediate_device())
+    return samples
diff --git a/ComfyUI/comfy/sampler_helpers.py b/ComfyUI/comfy/sampler_helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..4a2ec123b5ccdaed92ee7a6a42c4c6bfbfbfb265
--- /dev/null
+++ b/ComfyUI/comfy/sampler_helpers.py
@@ -0,0 +1,78 @@
+import torch
+import comfy.model_management
+import comfy.conds
+
+def prepare_mask(noise_mask, shape, device):
+    """ensures noise mask is of proper dimensions"""
+    noise_mask = torch.nn.functional.interpolate(noise_mask.reshape((-1, 1, noise_mask.shape[-2], noise_mask.shape[-1])), size=(shape[2], shape[3]), mode="bilinear")
+    noise_mask = torch.cat([noise_mask] * shape[1], dim=1)
+    noise_mask = comfy.utils.repeat_to_batch_size(noise_mask, shape[0])
+    noise_mask = noise_mask.to(device)
+    return noise_mask
+
+def get_models_from_cond(cond, model_type):
+    models = []
+    for c in cond:
+        if model_type in c:
+            models += [c[model_type]]
+    return models
+
+def convert_cond(cond):
+    out = []
+    for c in cond:
+        temp = c[1].copy()
+        model_conds = temp.get("model_conds", {})
+        if c[0] is not None:
+            model_conds["c_crossattn"] = comfy.conds.CONDCrossAttn(c[0]) #TODO: remove
+            temp["cross_attn"] = c[0]
+        temp["model_conds"] = model_conds
+        out.append(temp)
+    return out
+
+def get_additional_models(conds, dtype):
+    """loads additional models in conditioning"""
+    cnets = []
+    gligen = []
+
+    for k in conds:
+        cnets += get_models_from_cond(conds[k], "control")
+        gligen += get_models_from_cond(conds[k], "gligen")
+
+    control_nets = set(cnets)
+
+    inference_memory = 0
+    control_models = []
+    for m in control_nets:
+        control_models += m.get_models()
+        inference_memory += m.inference_memory_requirements(dtype)
+
+    gligen = [x[1] for x in gligen]
+    models = control_models + gligen
+    return models, inference_memory
+
+def cleanup_additional_models(models):
+    """cleanup additional models that were loaded"""
+    for m in models:
+        if hasattr(m, 'cleanup'):
+            m.cleanup()
+
+
+def prepare_sampling(model, noise_shape, conds):
+    device = model.load_device
+    real_model = None
+    models, inference_memory = get_additional_models(conds, model.model_dtype())
+    memory_required = model.memory_required([noise_shape[0] * 2] + list(noise_shape[1:])) + inference_memory
+    minimum_memory_required = model.memory_required([noise_shape[0]] + list(noise_shape[1:])) + inference_memory
+    comfy.model_management.load_models_gpu([model] + models, memory_required=memory_required, minimum_memory_required=minimum_memory_required)
+    real_model = model.model
+
+    return real_model, conds, models
+
+def cleanup_models(conds, models):
+    cleanup_additional_models(models)
+
+    control_cleanup = []
+    for k in conds:
+        control_cleanup += get_models_from_cond(conds[k], "control")
+
+    cleanup_additional_models(set(control_cleanup))
diff --git a/ComfyUI/comfy/samplers.py b/ComfyUI/comfy/samplers.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce4371d5073276de426dc111dc99f951415ad660
--- /dev/null
+++ b/ComfyUI/comfy/samplers.py
@@ -0,0 +1,829 @@
+from .k_diffusion import sampling as k_diffusion_sampling
+from .extra_samplers import uni_pc
+import torch
+import collections
+from comfy import model_management
+import math
+import logging
+import comfy.sampler_helpers
+import scipy
+import numpy
+
+def get_area_and_mult(conds, x_in, timestep_in):
+    dims = tuple(x_in.shape[2:])
+    area = None
+    strength = 1.0
+
+    if 'timestep_start' in conds:
+        timestep_start = conds['timestep_start']
+        if timestep_in[0] > timestep_start:
+            return None
+    if 'timestep_end' in conds:
+        timestep_end = conds['timestep_end']
+        if timestep_in[0] < timestep_end:
+            return None
+    if 'area' in conds:
+        area = list(conds['area'])
+    if 'strength' in conds:
+        strength = conds['strength']
+
+    input_x = x_in
+    if area is not None:
+        for i in range(len(dims)):
+            area[i] = min(input_x.shape[i + 2] - area[len(dims) + i], area[i])
+            input_x = input_x.narrow(i + 2, area[len(dims) + i], area[i])
+
+    if 'mask' in conds:
+        # Scale the mask to the size of the input
+        # The mask should have been resized as we began the sampling process
+        mask_strength = 1.0
+        if "mask_strength" in conds:
+            mask_strength = conds["mask_strength"]
+        mask = conds['mask']
+        assert(mask.shape[1:] == x_in.shape[2:])
+
+        mask = mask[:input_x.shape[0]]
+        if area is not None:
+            for i in range(len(dims)):
+                mask = mask.narrow(i + 1, area[len(dims) + i], area[i])
+
+        mask = mask * mask_strength
+        mask = mask.unsqueeze(1).repeat(input_x.shape[0] // mask.shape[0], input_x.shape[1], 1, 1)
+    else:
+        mask = torch.ones_like(input_x)
+    mult = mask * strength
+
+    if 'mask' not in conds and area is not None:
+        rr = 8
+        for i in range(len(dims)):
+            if area[len(dims) + i] != 0:
+                for t in range(rr):
+                    m = mult.narrow(i + 2, t, 1)
+                    m *= ((1.0/rr) * (t + 1))
+            if (area[i] + area[len(dims) + i]) < x_in.shape[i + 2]:
+                for t in range(rr):
+                    m = mult.narrow(i + 2, area[i] - 1 - t, 1)
+                    m *= ((1.0/rr) * (t + 1))
+
+    conditioning = {}
+    model_conds = conds["model_conds"]
+    for c in model_conds:
+        conditioning[c] = model_conds[c].process_cond(batch_size=x_in.shape[0], device=x_in.device, area=area)
+
+    control = conds.get('control', None)
+
+    patches = None
+    if 'gligen' in conds:
+        gligen = conds['gligen']
+        patches = {}
+        gligen_type = gligen[0]
+        gligen_model = gligen[1]
+        if gligen_type == "position":
+            gligen_patch = gligen_model.model.set_position(input_x.shape, gligen[2], input_x.device)
+        else:
+            gligen_patch = gligen_model.model.set_empty(input_x.shape, input_x.device)
+
+        patches['middle_patch'] = [gligen_patch]
+
+    cond_obj = collections.namedtuple('cond_obj', ['input_x', 'mult', 'conditioning', 'area', 'control', 'patches'])
+    return cond_obj(input_x, mult, conditioning, area, control, patches)
+
+def cond_equal_size(c1, c2):
+    if c1 is c2:
+        return True
+    if c1.keys() != c2.keys():
+        return False
+    for k in c1:
+        if not c1[k].can_concat(c2[k]):
+            return False
+    return True
+
+def can_concat_cond(c1, c2):
+    if c1.input_x.shape != c2.input_x.shape:
+        return False
+
+    def objects_concatable(obj1, obj2):
+        if (obj1 is None) != (obj2 is None):
+            return False
+        if obj1 is not None:
+            if obj1 is not obj2:
+                return False
+        return True
+
+    if not objects_concatable(c1.control, c2.control):
+        return False
+
+    if not objects_concatable(c1.patches, c2.patches):
+        return False
+
+    return cond_equal_size(c1.conditioning, c2.conditioning)
+
+def cond_cat(c_list):
+    c_crossattn = []
+    c_concat = []
+    c_adm = []
+    crossattn_max_len = 0
+
+    temp = {}
+    for x in c_list:
+        for k in x:
+            cur = temp.get(k, [])
+            cur.append(x[k])
+            temp[k] = cur
+
+    out = {}
+    for k in temp:
+        conds = temp[k]
+        out[k] = conds[0].concat(conds[1:])
+
+    return out
+
+def calc_cond_batch(model, conds, x_in, timestep, model_options):
+    out_conds = []
+    out_counts = []
+    to_run = []
+
+    for i in range(len(conds)):
+        out_conds.append(torch.zeros_like(x_in))
+        out_counts.append(torch.ones_like(x_in) * 1e-37)
+
+        cond = conds[i]
+        if cond is not None:
+            for x in cond:
+                p = get_area_and_mult(x, x_in, timestep)
+                if p is None:
+                    continue
+
+                to_run += [(p, i)]
+
+    while len(to_run) > 0:
+        first = to_run[0]
+        first_shape = first[0][0].shape
+        to_batch_temp = []
+        for x in range(len(to_run)):
+            if can_concat_cond(to_run[x][0], first[0]):
+                to_batch_temp += [x]
+
+        to_batch_temp.reverse()
+        to_batch = to_batch_temp[:1]
+
+        free_memory = model_management.get_free_memory(x_in.device)
+        for i in range(1, len(to_batch_temp) + 1):
+            batch_amount = to_batch_temp[:len(to_batch_temp)//i]
+            input_shape = [len(batch_amount) * first_shape[0]] + list(first_shape)[1:]
+            if model.memory_required(input_shape) * 1.5 < free_memory:
+                to_batch = batch_amount
+                break
+
+        input_x = []
+        mult = []
+        c = []
+        cond_or_uncond = []
+        area = []
+        control = None
+        patches = None
+        for x in to_batch:
+            o = to_run.pop(x)
+            p = o[0]
+            input_x.append(p.input_x)
+            mult.append(p.mult)
+            c.append(p.conditioning)
+            area.append(p.area)
+            cond_or_uncond.append(o[1])
+            control = p.control
+            patches = p.patches
+
+        batch_chunks = len(cond_or_uncond)
+        input_x = torch.cat(input_x)
+        c = cond_cat(c)
+        timestep_ = torch.cat([timestep] * batch_chunks)
+
+        if control is not None:
+            c['control'] = control.get_control(input_x, timestep_, c, len(cond_or_uncond))
+
+        transformer_options = {}
+        if 'transformer_options' in model_options:
+            transformer_options = model_options['transformer_options'].copy()
+
+        if patches is not None:
+            if "patches" in transformer_options:
+                cur_patches = transformer_options["patches"].copy()
+                for p in patches:
+                    if p in cur_patches:
+                        cur_patches[p] = cur_patches[p] + patches[p]
+                    else:
+                        cur_patches[p] = patches[p]
+                transformer_options["patches"] = cur_patches
+            else:
+                transformer_options["patches"] = patches
+
+        transformer_options["cond_or_uncond"] = cond_or_uncond[:]
+        transformer_options["sigmas"] = timestep
+
+        c['transformer_options'] = transformer_options
+
+        if 'model_function_wrapper' in model_options:
+            output = model_options['model_function_wrapper'](model.apply_model, {"input": input_x, "timestep": timestep_, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks)
+        else:
+            output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
+
+        for o in range(batch_chunks):
+            cond_index = cond_or_uncond[o]
+            a = area[o]
+            if a is None:
+                out_conds[cond_index] += output[o] * mult[o]
+                out_counts[cond_index] += mult[o]
+            else:
+                out_c = out_conds[cond_index]
+                out_cts = out_counts[cond_index]
+                dims = len(a) // 2
+                for i in range(dims):
+                    out_c = out_c.narrow(i + 2, a[i + dims], a[i])
+                    out_cts = out_cts.narrow(i + 2, a[i + dims], a[i])
+                out_c += output[o] * mult[o]
+                out_cts += mult[o]
+
+    for i in range(len(out_conds)):
+        out_conds[i] /= out_counts[i]
+
+    return out_conds
+
+def calc_cond_uncond_batch(model, cond, uncond, x_in, timestep, model_options): #TODO: remove
+    logging.warning("WARNING: The comfy.samplers.calc_cond_uncond_batch function is deprecated please use the calc_cond_batch one instead.")
+    return tuple(calc_cond_batch(model, [cond, uncond], x_in, timestep, model_options))
+
+def cfg_function(model, cond_pred, uncond_pred, cond_scale, x, timestep, model_options={}, cond=None, uncond=None):
+    if "sampler_cfg_function" in model_options:
+        args = {"cond": x - cond_pred, "uncond": x - uncond_pred, "cond_scale": cond_scale, "timestep": timestep, "input": x, "sigma": timestep,
+                "cond_denoised": cond_pred, "uncond_denoised": uncond_pred, "model": model, "model_options": model_options}
+        cfg_result = x - model_options["sampler_cfg_function"](args)
+    else:
+        cfg_result = uncond_pred + (cond_pred - uncond_pred) * cond_scale
+
+    for fn in model_options.get("sampler_post_cfg_function", []):
+        args = {"denoised": cfg_result, "cond": cond, "uncond": uncond, "model": model, "uncond_denoised": uncond_pred, "cond_denoised": cond_pred,
+                "sigma": timestep, "model_options": model_options, "input": x}
+        cfg_result = fn(args)
+
+    return cfg_result
+
+#The main sampling function shared by all the samplers
+#Returns denoised
+def sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options={}, seed=None):
+    if math.isclose(cond_scale, 1.0) and model_options.get("disable_cfg1_optimization", False) == False:
+        uncond_ = None
+    else:
+        uncond_ = uncond
+
+    conds = [cond, uncond_]
+    out = calc_cond_batch(model, conds, x, timestep, model_options)
+
+    for fn in model_options.get("sampler_pre_cfg_function", []):
+        args = {"conds":conds, "conds_out": out, "cond_scale": cond_scale, "timestep": timestep,
+                "input": x, "sigma": timestep, "model": model, "model_options": model_options}
+        out  = fn(args)
+
+    return cfg_function(model, out[0], out[1], cond_scale, x, timestep, model_options=model_options, cond=cond, uncond=uncond_)
+
+
+class KSamplerX0Inpaint:
+    def __init__(self, model, sigmas):
+        self.inner_model = model
+        self.sigmas = sigmas
+    def __call__(self, x, sigma, denoise_mask, model_options={}, seed=None):
+        if denoise_mask is not None:
+            if "denoise_mask_function" in model_options:
+                denoise_mask = model_options["denoise_mask_function"](sigma, denoise_mask, extra_options={"model": self.inner_model, "sigmas": self.sigmas})
+            latent_mask = 1. - denoise_mask
+            x = x * denoise_mask + self.inner_model.inner_model.model_sampling.noise_scaling(sigma.reshape([sigma.shape[0]] + [1] * (len(self.noise.shape) - 1)), self.noise, self.latent_image) * latent_mask
+        out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
+        if denoise_mask is not None:
+            out = out * denoise_mask + self.latent_image * latent_mask
+        return out
+
+def simple_scheduler(model_sampling, steps):
+    s = model_sampling
+    sigs = []
+    ss = len(s.sigmas) / steps
+    for x in range(steps):
+        sigs += [float(s.sigmas[-(1 + int(x * ss))])]
+    sigs += [0.0]
+    return torch.FloatTensor(sigs)
+
+def ddim_scheduler(model_sampling, steps):
+    s = model_sampling
+    sigs = []
+    x = 1
+    if math.isclose(float(s.sigmas[x]), 0, abs_tol=0.00001):
+        steps += 1
+        sigs = []
+    else:
+        sigs = [0.0]
+
+    ss = max(len(s.sigmas) // steps, 1)
+    while x < len(s.sigmas):
+        sigs += [float(s.sigmas[x])]
+        x += ss
+    sigs = sigs[::-1]
+    return torch.FloatTensor(sigs)
+
+def normal_scheduler(model_sampling, steps, sgm=False, floor=False):
+    s = model_sampling
+    start = s.timestep(s.sigma_max)
+    end = s.timestep(s.sigma_min)
+
+    append_zero = True
+    if sgm:
+        timesteps = torch.linspace(start, end, steps + 1)[:-1]
+    else:
+        if math.isclose(float(s.sigma(end)), 0, abs_tol=0.00001):
+            steps += 1
+            append_zero = False
+        timesteps = torch.linspace(start, end, steps)
+
+    sigs = []
+    for x in range(len(timesteps)):
+        ts = timesteps[x]
+        sigs.append(float(s.sigma(ts)))
+
+    if append_zero:
+        sigs += [0.0]
+
+    return torch.FloatTensor(sigs)
+
+# Implemented based on: https://arxiv.org/abs/2407.12173
+def beta_scheduler(model_sampling, steps, alpha=0.6, beta=0.6):
+    total_timesteps = (len(model_sampling.sigmas) - 1)
+    ts = 1 - numpy.linspace(0, 1, steps, endpoint=False)
+    ts = numpy.rint(scipy.stats.beta.ppf(ts, alpha, beta) * total_timesteps)
+
+    sigs = []
+    for t in ts:
+        sigs += [float(model_sampling.sigmas[int(t)])]
+    sigs += [0.0]
+    return torch.FloatTensor(sigs)
+
+def get_mask_aabb(masks):
+    if masks.numel() == 0:
+        return torch.zeros((0, 4), device=masks.device, dtype=torch.int)
+
+    b = masks.shape[0]
+
+    bounding_boxes = torch.zeros((b, 4), device=masks.device, dtype=torch.int)
+    is_empty = torch.zeros((b), device=masks.device, dtype=torch.bool)
+    for i in range(b):
+        mask = masks[i]
+        if mask.numel() == 0:
+            continue
+        if torch.max(mask != 0) == False:
+            is_empty[i] = True
+            continue
+        y, x = torch.where(mask)
+        bounding_boxes[i, 0] = torch.min(x)
+        bounding_boxes[i, 1] = torch.min(y)
+        bounding_boxes[i, 2] = torch.max(x)
+        bounding_boxes[i, 3] = torch.max(y)
+
+    return bounding_boxes, is_empty
+
+def resolve_areas_and_cond_masks_multidim(conditions, dims, device):
+    # We need to decide on an area outside the sampling loop in order to properly generate opposite areas of equal sizes.
+    # While we're doing this, we can also resolve the mask device and scaling for performance reasons
+    for i in range(len(conditions)):
+        c = conditions[i]
+        if 'area' in c:
+            area = c['area']
+            if area[0] == "percentage":
+                modified = c.copy()
+                a = area[1:]
+                a_len = len(a) // 2
+                area = ()
+                for d in range(len(dims)):
+                    area += (max(1, round(a[d] * dims[d])),)
+                for d in range(len(dims)):
+                    area += (round(a[d + a_len] * dims[d]),)
+
+                modified['area'] = area
+                c = modified
+                conditions[i] = c
+
+        if 'mask' in c:
+            mask = c['mask']
+            mask = mask.to(device=device)
+            modified = c.copy()
+            if len(mask.shape) == len(dims):
+                mask = mask.unsqueeze(0)
+            if mask.shape[1:] != dims:
+                mask = torch.nn.functional.interpolate(mask.unsqueeze(1), size=dims, mode='bilinear', align_corners=False).squeeze(1)
+
+            if modified.get("set_area_to_bounds", False): #TODO: handle dim != 2
+                bounds = torch.max(torch.abs(mask),dim=0).values.unsqueeze(0)
+                boxes, is_empty = get_mask_aabb(bounds)
+                if is_empty[0]:
+                    # Use the minimum possible size for efficiency reasons. (Since the mask is all-0, this becomes a noop anyway)
+                    modified['area'] = (8, 8, 0, 0)
+                else:
+                    box = boxes[0]
+                    H, W, Y, X = (box[3] - box[1] + 1, box[2] - box[0] + 1, box[1], box[0])
+                    H = max(8, H)
+                    W = max(8, W)
+                    area = (int(H), int(W), int(Y), int(X))
+                    modified['area'] = area
+
+            modified['mask'] = mask
+            conditions[i] = modified
+
+def resolve_areas_and_cond_masks(conditions, h, w, device):
+    logging.warning("WARNING: The comfy.samplers.resolve_areas_and_cond_masks function is deprecated please use the resolve_areas_and_cond_masks_multidim one instead.")
+    return resolve_areas_and_cond_masks_multidim(conditions, [h, w], device)
+
+def create_cond_with_same_area_if_none(conds, c): #TODO: handle dim != 2
+    if 'area' not in c:
+        return
+
+    c_area = c['area']
+    smallest = None
+    for x in conds:
+        if 'area' in x:
+            a = x['area']
+            if c_area[2] >= a[2] and c_area[3] >= a[3]:
+                if a[0] + a[2] >= c_area[0] + c_area[2]:
+                    if a[1] + a[3] >= c_area[1] + c_area[3]:
+                        if smallest is None:
+                            smallest = x
+                        elif 'area' not in smallest:
+                            smallest = x
+                        else:
+                            if smallest['area'][0] * smallest['area'][1] > a[0] * a[1]:
+                                smallest = x
+        else:
+            if smallest is None:
+                smallest = x
+    if smallest is None:
+        return
+    if 'area' in smallest:
+        if smallest['area'] == c_area:
+            return
+
+    out = c.copy()
+    out['model_conds'] = smallest['model_conds'].copy() #TODO: which fields should be copied?
+    conds += [out]
+
+def calculate_start_end_timesteps(model, conds):
+    s = model.model_sampling
+    for t in range(len(conds)):
+        x = conds[t]
+
+        timestep_start = None
+        timestep_end = None
+        if 'start_percent' in x:
+            timestep_start = s.percent_to_sigma(x['start_percent'])
+        if 'end_percent' in x:
+            timestep_end = s.percent_to_sigma(x['end_percent'])
+
+        if (timestep_start is not None) or (timestep_end is not None):
+            n = x.copy()
+            if (timestep_start is not None):
+                n['timestep_start'] = timestep_start
+            if (timestep_end is not None):
+                n['timestep_end'] = timestep_end
+            conds[t] = n
+
+def pre_run_control(model, conds):
+    s = model.model_sampling
+    for t in range(len(conds)):
+        x = conds[t]
+
+        timestep_start = None
+        timestep_end = None
+        percent_to_timestep_function = lambda a: s.percent_to_sigma(a)
+        if 'control' in x:
+            x['control'].pre_run(model, percent_to_timestep_function)
+
+def apply_empty_x_to_equal_area(conds, uncond, name, uncond_fill_func):
+    cond_cnets = []
+    cond_other = []
+    uncond_cnets = []
+    uncond_other = []
+    for t in range(len(conds)):
+        x = conds[t]
+        if 'area' not in x:
+            if name in x and x[name] is not None:
+                cond_cnets.append(x[name])
+            else:
+                cond_other.append((x, t))
+    for t in range(len(uncond)):
+        x = uncond[t]
+        if 'area' not in x:
+            if name in x and x[name] is not None:
+                uncond_cnets.append(x[name])
+            else:
+                uncond_other.append((x, t))
+
+    if len(uncond_cnets) > 0:
+        return
+
+    for x in range(len(cond_cnets)):
+        temp = uncond_other[x % len(uncond_other)]
+        o = temp[0]
+        if name in o and o[name] is not None:
+            n = o.copy()
+            n[name] = uncond_fill_func(cond_cnets, x)
+            uncond += [n]
+        else:
+            n = o.copy()
+            n[name] = uncond_fill_func(cond_cnets, x)
+            uncond[temp[1]] = n
+
+def encode_model_conds(model_function, conds, noise, device, prompt_type, **kwargs):
+    for t in range(len(conds)):
+        x = conds[t]
+        params = x.copy()
+        params["device"] = device
+        params["noise"] = noise
+        default_width = None
+        if len(noise.shape) >= 4: #TODO: 8 multiple should be set by the model
+            default_width = noise.shape[3] * 8
+        params["width"] = params.get("width", default_width)
+        params["height"] = params.get("height", noise.shape[2] * 8)
+        params["prompt_type"] = params.get("prompt_type", prompt_type)
+        for k in kwargs:
+            if k not in params:
+                params[k] = kwargs[k]
+
+        out = model_function(**params)
+        x = x.copy()
+        model_conds = x['model_conds'].copy()
+        for k in out:
+            model_conds[k] = out[k]
+        x['model_conds'] = model_conds
+        conds[t] = x
+    return conds
+
+class Sampler:
+    def sample(self):
+        pass
+
+    def max_denoise(self, model_wrap, sigmas):
+        max_sigma = float(model_wrap.inner_model.model_sampling.sigma_max)
+        sigma = float(sigmas[0])
+        return math.isclose(max_sigma, sigma, rel_tol=1e-05) or sigma > max_sigma
+
+KSAMPLER_NAMES = ["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2","dpm_2", "dpm_2_ancestral",
+                  "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_sde", "dpmpp_sde_gpu",
+                  "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm",
+                  "ipndm", "ipndm_v", "deis"]
+
+class KSAMPLER(Sampler):
+    def __init__(self, sampler_function, extra_options={}, inpaint_options={}):
+        self.sampler_function = sampler_function
+        self.extra_options = extra_options
+        self.inpaint_options = inpaint_options
+
+    def sample(self, model_wrap, sigmas, extra_args, callback, noise, latent_image=None, denoise_mask=None, disable_pbar=False):
+        extra_args["denoise_mask"] = denoise_mask
+        model_k = KSamplerX0Inpaint(model_wrap, sigmas)
+        model_k.latent_image = latent_image
+        if self.inpaint_options.get("random", False): #TODO: Should this be the default?
+            generator = torch.manual_seed(extra_args.get("seed", 41) + 1)
+            model_k.noise = torch.randn(noise.shape, generator=generator, device="cpu").to(noise.dtype).to(noise.device)
+        else:
+            model_k.noise = noise
+
+        noise = model_wrap.inner_model.model_sampling.noise_scaling(sigmas[0], noise, latent_image, self.max_denoise(model_wrap, sigmas))
+
+        k_callback = None
+        total_steps = len(sigmas) - 1
+        if callback is not None:
+            k_callback = lambda x: callback(x["i"], x["denoised"], x["x"], total_steps)
+
+        samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
+        samples = model_wrap.inner_model.model_sampling.inverse_noise_scaling(sigmas[-1], samples)
+        return samples
+
+
+def ksampler(sampler_name, extra_options={}, inpaint_options={}):
+    if sampler_name == "dpm_fast":
+        def dpm_fast_function(model, noise, sigmas, extra_args, callback, disable):
+            if len(sigmas) <= 1:
+                return noise
+
+            sigma_min = sigmas[-1]
+            if sigma_min == 0:
+                sigma_min = sigmas[-2]
+            total_steps = len(sigmas) - 1
+            return k_diffusion_sampling.sample_dpm_fast(model, noise, sigma_min, sigmas[0], total_steps, extra_args=extra_args, callback=callback, disable=disable)
+        sampler_function = dpm_fast_function
+    elif sampler_name == "dpm_adaptive":
+        def dpm_adaptive_function(model, noise, sigmas, extra_args, callback, disable, **extra_options):
+            if len(sigmas) <= 1:
+                return noise
+
+            sigma_min = sigmas[-1]
+            if sigma_min == 0:
+                sigma_min = sigmas[-2]
+            return k_diffusion_sampling.sample_dpm_adaptive(model, noise, sigma_min, sigmas[0], extra_args=extra_args, callback=callback, disable=disable, **extra_options)
+        sampler_function = dpm_adaptive_function
+    else:
+        sampler_function = getattr(k_diffusion_sampling, "sample_{}".format(sampler_name))
+
+    return KSAMPLER(sampler_function, extra_options, inpaint_options)
+
+
+def process_conds(model, noise, conds, device, latent_image=None, denoise_mask=None, seed=None):
+    for k in conds:
+        conds[k] = conds[k][:]
+        resolve_areas_and_cond_masks_multidim(conds[k], noise.shape[2:], device)
+
+    for k in conds:
+        calculate_start_end_timesteps(model, conds[k])
+
+    if hasattr(model, 'extra_conds'):
+        for k in conds:
+            conds[k] = encode_model_conds(model.extra_conds, conds[k], noise, device, k, latent_image=latent_image, denoise_mask=denoise_mask, seed=seed)
+
+    #make sure each cond area has an opposite one with the same area
+    for k in conds:
+        for c in conds[k]:
+            for kk in conds:
+                if k != kk:
+                    create_cond_with_same_area_if_none(conds[kk], c)
+
+    for k in conds:
+        pre_run_control(model, conds[k])
+
+    if "positive" in conds:
+        positive = conds["positive"]
+        for k in conds:
+            if k != "positive":
+                apply_empty_x_to_equal_area(list(filter(lambda c: c.get('control_apply_to_uncond', False) == True, positive)), conds[k], 'control', lambda cond_cnets, x: cond_cnets[x])
+                apply_empty_x_to_equal_area(positive, conds[k], 'gligen', lambda cond_cnets, x: cond_cnets[x])
+
+    return conds
+
+class CFGGuider:
+    def __init__(self, model_patcher):
+        self.model_patcher = model_patcher
+        self.model_options = model_patcher.model_options
+        self.original_conds = {}
+        self.cfg = 1.0
+
+    def set_conds(self, positive, negative):
+        self.inner_set_conds({"positive": positive, "negative": negative})
+
+    def set_cfg(self, cfg):
+        self.cfg = cfg
+
+    def inner_set_conds(self, conds):
+        for k in conds:
+            self.original_conds[k] = comfy.sampler_helpers.convert_cond(conds[k])
+
+    def __call__(self, *args, **kwargs):
+        return self.predict_noise(*args, **kwargs)
+
+    def predict_noise(self, x, timestep, model_options={}, seed=None):
+        return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed)
+
+    def inner_sample(self, noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed):
+        if latent_image is not None and torch.count_nonzero(latent_image) > 0: #Don't shift the empty latent image.
+            latent_image = self.inner_model.process_latent_in(latent_image)
+
+        self.conds = process_conds(self.inner_model, noise, self.conds, device, latent_image, denoise_mask, seed)
+
+        extra_args = {"model_options": self.model_options, "seed":seed}
+
+        samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
+        return self.inner_model.process_latent_out(samples.to(torch.float32))
+
+    def sample(self, noise, latent_image, sampler, sigmas, denoise_mask=None, callback=None, disable_pbar=False, seed=None):
+        if sigmas.shape[-1] == 0:
+            return latent_image
+
+        self.conds = {}
+        for k in self.original_conds:
+            self.conds[k] = list(map(lambda a: a.copy(), self.original_conds[k]))
+
+        self.inner_model, self.conds, self.loaded_models = comfy.sampler_helpers.prepare_sampling(self.model_patcher, noise.shape, self.conds)
+        device = self.model_patcher.load_device
+
+        if denoise_mask is not None:
+            denoise_mask = comfy.sampler_helpers.prepare_mask(denoise_mask, noise.shape, device)
+
+        noise = noise.to(device)
+        latent_image = latent_image.to(device)
+        sigmas = sigmas.to(device)
+
+        output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
+
+        comfy.sampler_helpers.cleanup_models(self.conds, self.loaded_models)
+        del self.inner_model
+        del self.conds
+        del self.loaded_models
+        return output
+
+
+def sample(model, noise, positive, negative, cfg, device, sampler, sigmas, model_options={}, latent_image=None, denoise_mask=None, callback=None, disable_pbar=False, seed=None):
+    cfg_guider = CFGGuider(model)
+    cfg_guider.set_conds(positive, negative)
+    cfg_guider.set_cfg(cfg)
+    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
+
+
+SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform", "beta"]
+SAMPLER_NAMES = KSAMPLER_NAMES + ["ddim", "uni_pc", "uni_pc_bh2"]
+
+def calculate_sigmas(model_sampling, scheduler_name, steps):
+    if scheduler_name == "karras":
+        sigmas = k_diffusion_sampling.get_sigmas_karras(n=steps, sigma_min=float(model_sampling.sigma_min), sigma_max=float(model_sampling.sigma_max))
+    elif scheduler_name == "exponential":
+        sigmas = k_diffusion_sampling.get_sigmas_exponential(n=steps, sigma_min=float(model_sampling.sigma_min), sigma_max=float(model_sampling.sigma_max))
+    elif scheduler_name == "normal":
+        sigmas = normal_scheduler(model_sampling, steps)
+    elif scheduler_name == "simple":
+        sigmas = simple_scheduler(model_sampling, steps)
+    elif scheduler_name == "ddim_uniform":
+        sigmas = ddim_scheduler(model_sampling, steps)
+    elif scheduler_name == "sgm_uniform":
+        sigmas = normal_scheduler(model_sampling, steps, sgm=True)
+    elif scheduler_name == "beta":
+        sigmas = beta_scheduler(model_sampling, steps)
+    else:
+        logging.error("error invalid scheduler {}".format(scheduler_name))
+    return sigmas
+
+def sampler_object(name):
+    if name == "uni_pc":
+        sampler = KSAMPLER(uni_pc.sample_unipc)
+    elif name == "uni_pc_bh2":
+        sampler = KSAMPLER(uni_pc.sample_unipc_bh2)
+    elif name == "ddim":
+        sampler = ksampler("euler", inpaint_options={"random": True})
+    else:
+        sampler = ksampler(name)
+    return sampler
+
+class KSampler:
+    SCHEDULERS = SCHEDULER_NAMES
+    SAMPLERS = SAMPLER_NAMES
+    DISCARD_PENULTIMATE_SIGMA_SAMPLERS = set(('dpm_2', 'dpm_2_ancestral', 'uni_pc', 'uni_pc_bh2'))
+
+    def __init__(self, model, steps, device, sampler=None, scheduler=None, denoise=None, model_options={}):
+        self.model = model
+        self.device = device
+        if scheduler not in self.SCHEDULERS:
+            scheduler = self.SCHEDULERS[0]
+        if sampler not in self.SAMPLERS:
+            sampler = self.SAMPLERS[0]
+        self.scheduler = scheduler
+        self.sampler = sampler
+        self.set_steps(steps, denoise)
+        self.denoise = denoise
+        self.model_options = model_options
+
+    def calculate_sigmas(self, steps):
+        sigmas = None
+
+        discard_penultimate_sigma = False
+        if self.sampler in self.DISCARD_PENULTIMATE_SIGMA_SAMPLERS:
+            steps += 1
+            discard_penultimate_sigma = True
+
+        sigmas = calculate_sigmas(self.model.get_model_object("model_sampling"), self.scheduler, steps)
+
+        if discard_penultimate_sigma:
+            sigmas = torch.cat([sigmas[:-2], sigmas[-1:]])
+        return sigmas
+
+    def set_steps(self, steps, denoise=None):
+        self.steps = steps
+        if denoise is None or denoise > 0.9999:
+            self.sigmas = self.calculate_sigmas(steps).to(self.device)
+        else:
+            if denoise <= 0.0:
+                self.sigmas = torch.FloatTensor([])
+            else:
+                new_steps = int(steps/denoise)
+                sigmas = self.calculate_sigmas(new_steps).to(self.device)
+                self.sigmas = sigmas[-(steps + 1):]
+
+    def sample(self, noise, positive, negative, cfg, latent_image=None, start_step=None, last_step=None, force_full_denoise=False, denoise_mask=None, sigmas=None, callback=None, disable_pbar=False, seed=None):
+        if sigmas is None:
+            sigmas = self.sigmas
+
+        if last_step is not None and last_step < (len(sigmas) - 1):
+            sigmas = sigmas[:last_step + 1]
+            if force_full_denoise:
+                sigmas[-1] = 0
+
+        if start_step is not None:
+            if start_step < (len(sigmas) - 1):
+                sigmas = sigmas[start_step:]
+            else:
+                if latent_image is not None:
+                    return latent_image
+                else:
+                    return torch.zeros_like(noise)
+
+        sampler = sampler_object(self.sampler)
+
+        return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
diff --git a/ComfyUI/comfy/sd.py b/ComfyUI/comfy/sd.py
new file mode 100644
index 0000000000000000000000000000000000000000..1e1a6594b24cadcdd2526dc9cc1c3d3e2e32391c
--- /dev/null
+++ b/ComfyUI/comfy/sd.py
@@ -0,0 +1,697 @@
+import torch
+from enum import Enum
+import logging
+
+from comfy import model_management
+from .ldm.models.autoencoder import AutoencoderKL, AutoencodingEngine
+from .ldm.cascade.stage_a import StageA
+from .ldm.cascade.stage_c_coder import StageC_coder
+from .ldm.audio.autoencoder import AudioOobleckVAE
+import yaml
+
+import comfy.utils
+
+from . import clip_vision
+from . import gligen
+from . import diffusers_convert
+from . import model_detection
+
+from . import sd1_clip
+from . import sdxl_clip
+import comfy.text_encoders.sd2_clip
+import comfy.text_encoders.sd3_clip
+import comfy.text_encoders.sa_t5
+import comfy.text_encoders.aura_t5
+import comfy.text_encoders.hydit
+import comfy.text_encoders.flux
+import comfy.text_encoders.long_clipl
+
+import comfy.model_patcher
+import comfy.lora
+import comfy.t2i_adapter.adapter
+import comfy.supported_models_base
+import comfy.taesd.taesd
+
+def load_lora_for_models(model, clip, lora, strength_model, strength_clip):
+    key_map = {}
+    if model is not None:
+        key_map = comfy.lora.model_lora_keys_unet(model.model, key_map)
+    if clip is not None:
+        key_map = comfy.lora.model_lora_keys_clip(clip.cond_stage_model, key_map)
+
+    loaded = comfy.lora.load_lora(lora, key_map)
+    if model is not None:
+        new_modelpatcher = model.clone()
+        k = new_modelpatcher.add_patches(loaded, strength_model)
+    else:
+        k = ()
+        new_modelpatcher = None
+
+    if clip is not None:
+        new_clip = clip.clone()
+        k1 = new_clip.add_patches(loaded, strength_clip)
+    else:
+        k1 = ()
+        new_clip = None
+    k = set(k)
+    k1 = set(k1)
+    for x in loaded:
+        if (x not in k) and (x not in k1):
+            logging.warning("NOT LOADED {}".format(x))
+
+    return (new_modelpatcher, new_clip)
+
+
+class CLIP:
+    def __init__(self, target=None, embedding_directory=None, no_init=False, tokenizer_data={}, parameters=0, model_options={}):
+        if no_init:
+            return
+        params = target.params.copy()
+        clip = target.clip
+        tokenizer = target.tokenizer
+
+        load_device = model_management.text_encoder_device()
+        offload_device = model_management.text_encoder_offload_device()
+        dtype = model_options.get("dtype", None)
+        if dtype is None:
+            dtype = model_management.text_encoder_dtype(load_device)
+
+        params['dtype'] = dtype
+        params['device'] = model_management.text_encoder_initial_device(load_device, offload_device, parameters * model_management.dtype_size(dtype))
+        params['model_options'] = model_options
+
+        self.cond_stage_model = clip(**(params))
+
+        for dt in self.cond_stage_model.dtypes:
+            if not model_management.supports_cast(load_device, dt):
+                load_device = offload_device
+                if params['device'] != offload_device:
+                    self.cond_stage_model.to(offload_device)
+                    logging.warning("Had to shift TE back.")
+
+        self.tokenizer = tokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data)
+        self.patcher = comfy.model_patcher.ModelPatcher(self.cond_stage_model, load_device=load_device, offload_device=offload_device)
+        if params['device'] == load_device:
+            model_management.load_models_gpu([self.patcher], force_full_load=True)
+        self.layer_idx = None
+        logging.debug("CLIP model load device: {}, offload device: {}, current: {}".format(load_device, offload_device, params['device']))
+
+    def clone(self):
+        n = CLIP(no_init=True)
+        n.patcher = self.patcher.clone()
+        n.cond_stage_model = self.cond_stage_model
+        n.tokenizer = self.tokenizer
+        n.layer_idx = self.layer_idx
+        return n
+
+    def add_patches(self, patches, strength_patch=1.0, strength_model=1.0):
+        return self.patcher.add_patches(patches, strength_patch, strength_model)
+
+    def clip_layer(self, layer_idx):
+        self.layer_idx = layer_idx
+
+    def tokenize(self, text, return_word_ids=False):
+        return self.tokenizer.tokenize_with_weights(text, return_word_ids)
+
+    def encode_from_tokens(self, tokens, return_pooled=False, return_dict=False):
+        self.cond_stage_model.reset_clip_options()
+
+        if self.layer_idx is not None:
+            self.cond_stage_model.set_clip_options({"layer": self.layer_idx})
+
+        if return_pooled == "unprojected":
+            self.cond_stage_model.set_clip_options({"projected_pooled": False})
+
+        self.load_model()
+        o = self.cond_stage_model.encode_token_weights(tokens)
+        cond, pooled = o[:2]
+        if return_dict:
+            out = {"cond": cond, "pooled_output": pooled}
+            if len(o) > 2:
+                for k in o[2]:
+                    out[k] = o[2][k]
+            return out
+
+        if return_pooled:
+            return cond, pooled
+        return cond
+
+    def encode(self, text):
+        tokens = self.tokenize(text)
+        return self.encode_from_tokens(tokens)
+
+    def load_sd(self, sd, full_model=False):
+        if full_model:
+            return self.cond_stage_model.load_state_dict(sd, strict=False)
+        else:
+            return self.cond_stage_model.load_sd(sd)
+
+    def get_sd(self):
+        sd_clip = self.cond_stage_model.state_dict()
+        sd_tokenizer = self.tokenizer.state_dict()
+        for k in sd_tokenizer:
+            sd_clip[k] = sd_tokenizer[k]
+        return sd_clip
+
+    def load_model(self):
+        model_management.load_model_gpu(self.patcher)
+        return self.patcher
+
+    def get_key_patches(self):
+        return self.patcher.get_key_patches()
+
+class VAE:
+    def __init__(self, sd=None, device=None, config=None, dtype=None):
+        if 'decoder.up_blocks.0.resnets.0.norm1.weight' in sd.keys(): #diffusers format
+            sd = diffusers_convert.convert_vae_state_dict(sd)
+
+        self.memory_used_encode = lambda shape, dtype: (1767 * shape[2] * shape[3]) * model_management.dtype_size(dtype) #These are for AutoencoderKL and need tweaking (should be lower)
+        self.memory_used_decode = lambda shape, dtype: (2178 * shape[2] * shape[3] * 64) * model_management.dtype_size(dtype)
+        self.downscale_ratio = 8
+        self.upscale_ratio = 8
+        self.latent_channels = 4
+        self.output_channels = 3
+        self.process_input = lambda image: image * 2.0 - 1.0
+        self.process_output = lambda image: torch.clamp((image + 1.0) / 2.0, min=0.0, max=1.0)
+        self.working_dtypes = [torch.bfloat16, torch.float32]
+
+        if config is None:
+            if "decoder.mid.block_1.mix_factor" in sd:
+                encoder_config = {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0}
+                decoder_config = encoder_config.copy()
+                decoder_config["video_kernel_size"] = [3, 1, 1]
+                decoder_config["alpha"] = 0.0
+                self.first_stage_model = AutoencodingEngine(regularizer_config={'target': "comfy.ldm.models.autoencoder.DiagonalGaussianRegularizer"},
+                                                            encoder_config={'target': "comfy.ldm.modules.diffusionmodules.model.Encoder", 'params': encoder_config},
+                                                            decoder_config={'target': "comfy.ldm.modules.temporal_ae.VideoDecoder", 'params': decoder_config})
+            elif "taesd_decoder.1.weight" in sd:
+                self.latent_channels = sd["taesd_decoder.1.weight"].shape[1]
+                self.first_stage_model = comfy.taesd.taesd.TAESD(latent_channels=self.latent_channels)
+            elif "vquantizer.codebook.weight" in sd: #VQGan: stage a of stable cascade
+                self.first_stage_model = StageA()
+                self.downscale_ratio = 4
+                self.upscale_ratio = 4
+                #TODO
+                #self.memory_used_encode
+                #self.memory_used_decode
+                self.process_input = lambda image: image
+                self.process_output = lambda image: image
+            elif "backbone.1.0.block.0.1.num_batches_tracked" in sd: #effnet: encoder for stage c latent of stable cascade
+                self.first_stage_model = StageC_coder()
+                self.downscale_ratio = 32
+                self.latent_channels = 16
+                new_sd = {}
+                for k in sd:
+                    new_sd["encoder.{}".format(k)] = sd[k]
+                sd = new_sd
+            elif "blocks.11.num_batches_tracked" in sd: #previewer: decoder for stage c latent of stable cascade
+                self.first_stage_model = StageC_coder()
+                self.latent_channels = 16
+                new_sd = {}
+                for k in sd:
+                    new_sd["previewer.{}".format(k)] = sd[k]
+                sd = new_sd
+            elif "encoder.backbone.1.0.block.0.1.num_batches_tracked" in sd: #combined effnet and previewer for stable cascade
+                self.first_stage_model = StageC_coder()
+                self.downscale_ratio = 32
+                self.latent_channels = 16
+            elif "decoder.conv_in.weight" in sd:
+                #default SD1.x/SD2.x VAE parameters
+                ddconfig = {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0}
+
+                if 'encoder.down.2.downsample.conv.weight' not in sd and 'decoder.up.3.upsample.conv.weight' not in sd: #Stable diffusion x4 upscaler VAE
+                    ddconfig['ch_mult'] = [1, 2, 4]
+                    self.downscale_ratio = 4
+                    self.upscale_ratio = 4
+
+                self.latent_channels = ddconfig['z_channels'] = sd["decoder.conv_in.weight"].shape[1]
+                if 'quant_conv.weight' in sd:
+                    self.first_stage_model = AutoencoderKL(ddconfig=ddconfig, embed_dim=4)
+                else:
+                    self.first_stage_model = AutoencodingEngine(regularizer_config={'target': "comfy.ldm.models.autoencoder.DiagonalGaussianRegularizer"},
+                                                                encoder_config={'target': "comfy.ldm.modules.diffusionmodules.model.Encoder", 'params': ddconfig},
+                                                                decoder_config={'target': "comfy.ldm.modules.diffusionmodules.model.Decoder", 'params': ddconfig})
+            elif "decoder.layers.1.layers.0.beta" in sd:
+                self.first_stage_model = AudioOobleckVAE()
+                self.memory_used_encode = lambda shape, dtype: (1000 * shape[2]) * model_management.dtype_size(dtype)
+                self.memory_used_decode = lambda shape, dtype: (1000 * shape[2] * 2048) * model_management.dtype_size(dtype)
+                self.latent_channels = 64
+                self.output_channels = 2
+                self.upscale_ratio = 2048
+                self.downscale_ratio =  2048
+                self.process_output = lambda audio: audio
+                self.process_input = lambda audio: audio
+                self.working_dtypes = [torch.float16, torch.bfloat16, torch.float32]
+            else:
+                logging.warning("WARNING: No VAE weights detected, VAE not initalized.")
+                self.first_stage_model = None
+                return
+        else:
+            self.first_stage_model = AutoencoderKL(**(config['params']))
+        self.first_stage_model = self.first_stage_model.eval()
+
+        m, u = self.first_stage_model.load_state_dict(sd, strict=False)
+        if len(m) > 0:
+            logging.warning("Missing VAE keys {}".format(m))
+
+        if len(u) > 0:
+            logging.debug("Leftover VAE keys {}".format(u))
+
+        if device is None:
+            device = model_management.vae_device()
+        self.device = device
+        offload_device = model_management.vae_offload_device()
+        if dtype is None:
+            dtype = model_management.vae_dtype(self.device, self.working_dtypes)
+        self.vae_dtype = dtype
+        self.first_stage_model.to(self.vae_dtype)
+        self.output_device = model_management.intermediate_device()
+
+        self.patcher = comfy.model_patcher.ModelPatcher(self.first_stage_model, load_device=self.device, offload_device=offload_device)
+        logging.debug("VAE load device: {}, offload device: {}, dtype: {}".format(self.device, offload_device, self.vae_dtype))
+
+    def vae_encode_crop_pixels(self, pixels):
+        dims = pixels.shape[1:-1]
+        for d in range(len(dims)):
+            x = (dims[d] // self.downscale_ratio) * self.downscale_ratio
+            x_offset = (dims[d] % self.downscale_ratio) // 2
+            if x != dims[d]:
+                pixels = pixels.narrow(d + 1, x_offset, x)
+        return pixels
+
+    def decode_tiled_(self, samples, tile_x=64, tile_y=64, overlap = 16):
+        steps = samples.shape[0] * comfy.utils.get_tiled_scale_steps(samples.shape[3], samples.shape[2], tile_x, tile_y, overlap)
+        steps += samples.shape[0] * comfy.utils.get_tiled_scale_steps(samples.shape[3], samples.shape[2], tile_x // 2, tile_y * 2, overlap)
+        steps += samples.shape[0] * comfy.utils.get_tiled_scale_steps(samples.shape[3], samples.shape[2], tile_x * 2, tile_y // 2, overlap)
+        pbar = comfy.utils.ProgressBar(steps)
+
+        decode_fn = lambda a: self.first_stage_model.decode(a.to(self.vae_dtype).to(self.device)).float()
+        output = self.process_output(
+            (comfy.utils.tiled_scale(samples, decode_fn, tile_x // 2, tile_y * 2, overlap, upscale_amount = self.upscale_ratio, output_device=self.output_device, pbar = pbar) +
+            comfy.utils.tiled_scale(samples, decode_fn, tile_x * 2, tile_y // 2, overlap, upscale_amount = self.upscale_ratio, output_device=self.output_device, pbar = pbar) +
+             comfy.utils.tiled_scale(samples, decode_fn, tile_x, tile_y, overlap, upscale_amount = self.upscale_ratio, output_device=self.output_device, pbar = pbar))
+            / 3.0)
+        return output
+
+    def decode_tiled_1d(self, samples, tile_x=128, overlap=32):
+        decode_fn = lambda a: self.first_stage_model.decode(a.to(self.vae_dtype).to(self.device)).float()
+        return comfy.utils.tiled_scale_multidim(samples, decode_fn, tile=(tile_x,), overlap=overlap, upscale_amount=self.upscale_ratio, out_channels=self.output_channels, output_device=self.output_device)
+
+    def encode_tiled_(self, pixel_samples, tile_x=512, tile_y=512, overlap = 64):
+        steps = pixel_samples.shape[0] * comfy.utils.get_tiled_scale_steps(pixel_samples.shape[3], pixel_samples.shape[2], tile_x, tile_y, overlap)
+        steps += pixel_samples.shape[0] * comfy.utils.get_tiled_scale_steps(pixel_samples.shape[3], pixel_samples.shape[2], tile_x // 2, tile_y * 2, overlap)
+        steps += pixel_samples.shape[0] * comfy.utils.get_tiled_scale_steps(pixel_samples.shape[3], pixel_samples.shape[2], tile_x * 2, tile_y // 2, overlap)
+        pbar = comfy.utils.ProgressBar(steps)
+
+        encode_fn = lambda a: self.first_stage_model.encode((self.process_input(a)).to(self.vae_dtype).to(self.device)).float()
+        samples = comfy.utils.tiled_scale(pixel_samples, encode_fn, tile_x, tile_y, overlap, upscale_amount = (1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device, pbar=pbar)
+        samples += comfy.utils.tiled_scale(pixel_samples, encode_fn, tile_x * 2, tile_y // 2, overlap, upscale_amount = (1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device, pbar=pbar)
+        samples += comfy.utils.tiled_scale(pixel_samples, encode_fn, tile_x // 2, tile_y * 2, overlap, upscale_amount = (1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device, pbar=pbar)
+        samples /= 3.0
+        return samples
+
+    def encode_tiled_1d(self, samples, tile_x=128 * 2048, overlap=32 * 2048):
+        encode_fn = lambda a: self.first_stage_model.encode((self.process_input(a)).to(self.vae_dtype).to(self.device)).float()
+        return comfy.utils.tiled_scale_multidim(samples, encode_fn, tile=(tile_x,), overlap=overlap, upscale_amount=(1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device)
+
+    def decode(self, samples_in):
+        try:
+            memory_used = self.memory_used_decode(samples_in.shape, self.vae_dtype)
+            model_management.load_models_gpu([self.patcher], memory_required=memory_used)
+            free_memory = model_management.get_free_memory(self.device)
+            batch_number = int(free_memory / memory_used)
+            batch_number = max(1, batch_number)
+
+            pixel_samples = torch.empty((samples_in.shape[0], self.output_channels) + tuple(map(lambda a: a * self.upscale_ratio, samples_in.shape[2:])), device=self.output_device)
+            for x in range(0, samples_in.shape[0], batch_number):
+                samples = samples_in[x:x+batch_number].to(self.vae_dtype).to(self.device)
+                pixel_samples[x:x+batch_number] = self.process_output(self.first_stage_model.decode(samples).to(self.output_device).float())
+        except model_management.OOM_EXCEPTION as e:
+            logging.warning("Warning: Ran out of memory when regular VAE decoding, retrying with tiled VAE decoding.")
+            if len(samples_in.shape) == 3:
+                pixel_samples = self.decode_tiled_1d(samples_in)
+            else:
+                pixel_samples = self.decode_tiled_(samples_in)
+
+        pixel_samples = pixel_samples.to(self.output_device).movedim(1,-1)
+        return pixel_samples
+
+    def decode_tiled(self, samples, tile_x=64, tile_y=64, overlap = 16):
+        model_management.load_model_gpu(self.patcher)
+        output = self.decode_tiled_(samples, tile_x, tile_y, overlap)
+        return output.movedim(1,-1)
+
+    def encode(self, pixel_samples):
+        pixel_samples = self.vae_encode_crop_pixels(pixel_samples)
+        pixel_samples = pixel_samples.movedim(-1,1)
+        try:
+            memory_used = self.memory_used_encode(pixel_samples.shape, self.vae_dtype)
+            model_management.load_models_gpu([self.patcher], memory_required=memory_used)
+            free_memory = model_management.get_free_memory(self.device)
+            batch_number = int(free_memory / memory_used)
+            batch_number = max(1, batch_number)
+            samples = torch.empty((pixel_samples.shape[0], self.latent_channels) + tuple(map(lambda a: a // self.downscale_ratio, pixel_samples.shape[2:])), device=self.output_device)
+            for x in range(0, pixel_samples.shape[0], batch_number):
+                pixels_in = self.process_input(pixel_samples[x:x+batch_number]).to(self.vae_dtype).to(self.device)
+                samples[x:x+batch_number] = self.first_stage_model.encode(pixels_in).to(self.output_device).float()
+
+        except model_management.OOM_EXCEPTION as e:
+            logging.warning("Warning: Ran out of memory when regular VAE encoding, retrying with tiled VAE encoding.")
+            if len(pixel_samples.shape) == 3:
+                samples = self.encode_tiled_1d(pixel_samples)
+            else:
+                samples = self.encode_tiled_(pixel_samples)
+
+        return samples
+
+    def encode_tiled(self, pixel_samples, tile_x=512, tile_y=512, overlap = 64):
+        pixel_samples = self.vae_encode_crop_pixels(pixel_samples)
+        model_management.load_model_gpu(self.patcher)
+        pixel_samples = pixel_samples.movedim(-1,1)
+        samples = self.encode_tiled_(pixel_samples, tile_x=tile_x, tile_y=tile_y, overlap=overlap)
+        return samples
+
+    def get_sd(self):
+        return self.first_stage_model.state_dict()
+
+class StyleModel:
+    def __init__(self, model, device="cpu"):
+        self.model = model
+
+    def get_cond(self, input):
+        return self.model(input.last_hidden_state)
+
+
+def load_style_model(ckpt_path):
+    model_data = comfy.utils.load_torch_file(ckpt_path, safe_load=True)
+    keys = model_data.keys()
+    if "style_embedding" in keys:
+        model = comfy.t2i_adapter.adapter.StyleAdapter(width=1024, context_dim=768, num_head=8, n_layes=3, num_token=8)
+    else:
+        raise Exception("invalid style model {}".format(ckpt_path))
+    model.load_state_dict(model_data)
+    return StyleModel(model)
+
+class CLIPType(Enum):
+    STABLE_DIFFUSION = 1
+    STABLE_CASCADE = 2
+    SD3 = 3
+    STABLE_AUDIO = 4
+    HUNYUAN_DIT = 5
+    FLUX = 6
+
+def load_clip(ckpt_paths, embedding_directory=None, clip_type=CLIPType.STABLE_DIFFUSION, model_options={}):
+    clip_data = []
+    for p in ckpt_paths:
+        clip_data.append(comfy.utils.load_torch_file(p, safe_load=True))
+    return load_text_encoder_state_dicts(clip_data, embedding_directory=embedding_directory, clip_type=clip_type, model_options=model_options)
+
+def load_text_encoder_state_dicts(state_dicts=[], embedding_directory=None, clip_type=CLIPType.STABLE_DIFFUSION, model_options={}):
+    clip_data = state_dicts
+    class EmptyClass:
+        pass
+
+    for i in range(len(clip_data)):
+        if "transformer.resblocks.0.ln_1.weight" in clip_data[i]:
+            clip_data[i] = comfy.utils.clip_text_transformers_convert(clip_data[i], "", "")
+        else:
+            if "text_projection" in clip_data[i]:
+                clip_data[i]["text_projection.weight"] = clip_data[i]["text_projection"].transpose(0, 1) #old models saved with the CLIPSave node
+
+    clip_target = EmptyClass()
+    clip_target.params = {}
+    if len(clip_data) == 1:
+        if "text_model.encoder.layers.30.mlp.fc1.weight" in clip_data[0]:
+            if clip_type == CLIPType.STABLE_CASCADE:
+                clip_target.clip = sdxl_clip.StableCascadeClipModel
+                clip_target.tokenizer = sdxl_clip.StableCascadeTokenizer
+            else:
+                clip_target.clip = sdxl_clip.SDXLRefinerClipModel
+                clip_target.tokenizer = sdxl_clip.SDXLTokenizer
+        elif "text_model.encoder.layers.22.mlp.fc1.weight" in clip_data[0]:
+            clip_target.clip = comfy.text_encoders.sd2_clip.SD2ClipModel
+            clip_target.tokenizer = comfy.text_encoders.sd2_clip.SD2Tokenizer
+        elif "encoder.block.23.layer.1.DenseReluDense.wi_1.weight" in clip_data[0]:
+            weight = clip_data[0]["encoder.block.23.layer.1.DenseReluDense.wi_1.weight"]
+            dtype_t5 = weight.dtype
+            if weight.shape[-1] == 4096:
+                clip_target.clip = comfy.text_encoders.sd3_clip.sd3_clip(clip_l=False, clip_g=False, t5=True, dtype_t5=dtype_t5)
+                clip_target.tokenizer = comfy.text_encoders.sd3_clip.SD3Tokenizer
+            elif weight.shape[-1] == 2048:
+                clip_target.clip = comfy.text_encoders.aura_t5.AuraT5Model
+                clip_target.tokenizer = comfy.text_encoders.aura_t5.AuraT5Tokenizer
+        elif "encoder.block.0.layer.0.SelfAttention.k.weight" in clip_data[0]:
+            clip_target.clip = comfy.text_encoders.sa_t5.SAT5Model
+            clip_target.tokenizer = comfy.text_encoders.sa_t5.SAT5Tokenizer
+        else:
+            w = clip_data[0].get("text_model.embeddings.position_embedding.weight", None)
+            if w is not None and w.shape[0] == 248:
+                clip_target.clip = comfy.text_encoders.long_clipl.LongClipModel
+                clip_target.tokenizer = comfy.text_encoders.long_clipl.LongClipTokenizer
+            else:
+                clip_target.clip = sd1_clip.SD1ClipModel
+                clip_target.tokenizer = sd1_clip.SD1Tokenizer
+    elif len(clip_data) == 2:
+        if clip_type == CLIPType.SD3:
+            clip_target.clip = comfy.text_encoders.sd3_clip.sd3_clip(clip_l=True, clip_g=True, t5=False)
+            clip_target.tokenizer = comfy.text_encoders.sd3_clip.SD3Tokenizer
+        elif clip_type == CLIPType.HUNYUAN_DIT:
+            clip_target.clip = comfy.text_encoders.hydit.HyditModel
+            clip_target.tokenizer = comfy.text_encoders.hydit.HyditTokenizer
+        elif clip_type == CLIPType.FLUX:
+            weight_name = "encoder.block.23.layer.1.DenseReluDense.wi_1.weight"
+            weight = clip_data[0].get(weight_name, clip_data[1].get(weight_name, None))
+            dtype_t5 = None
+            if weight is not None:
+                dtype_t5 = weight.dtype
+
+            clip_target.clip = comfy.text_encoders.flux.flux_clip(dtype_t5=dtype_t5)
+            clip_target.tokenizer = comfy.text_encoders.flux.FluxTokenizer
+        else:
+            clip_target.clip = sdxl_clip.SDXLClipModel
+            clip_target.tokenizer = sdxl_clip.SDXLTokenizer
+    elif len(clip_data) == 3:
+        clip_target.clip = comfy.text_encoders.sd3_clip.SD3ClipModel
+        clip_target.tokenizer = comfy.text_encoders.sd3_clip.SD3Tokenizer
+
+    parameters = 0
+    for c in clip_data:
+        parameters += comfy.utils.calculate_parameters(c)
+
+    clip = CLIP(clip_target, embedding_directory=embedding_directory, parameters=parameters, model_options=model_options)
+    for c in clip_data:
+        m, u = clip.load_sd(c)
+        if len(m) > 0:
+            logging.warning("clip missing: {}".format(m))
+
+        if len(u) > 0:
+            logging.debug("clip unexpected: {}".format(u))
+    return clip
+
+def load_gligen(ckpt_path):
+    data = comfy.utils.load_torch_file(ckpt_path, safe_load=True)
+    model = gligen.load_gligen(data)
+    if model_management.should_use_fp16():
+        model = model.half()
+    return comfy.model_patcher.ModelPatcher(model, load_device=model_management.get_torch_device(), offload_device=model_management.unet_offload_device())
+
+def load_checkpoint(config_path=None, ckpt_path=None, output_vae=True, output_clip=True, embedding_directory=None, state_dict=None, config=None):
+    logging.warning("Warning: The load checkpoint with config function is deprecated and will eventually be removed, please use the other one.")
+    model, clip, vae, _ = load_checkpoint_guess_config(ckpt_path, output_vae=output_vae, output_clip=output_clip, output_clipvision=False, embedding_directory=embedding_directory, output_model=True)
+    #TODO: this function is a mess and should be removed eventually
+    if config is None:
+        with open(config_path, 'r') as stream:
+            config = yaml.safe_load(stream)
+    model_config_params = config['model']['params']
+    clip_config = model_config_params['cond_stage_config']
+    scale_factor = model_config_params['scale_factor']
+
+    if "parameterization" in model_config_params:
+        if model_config_params["parameterization"] == "v":
+            m = model.clone()
+            class ModelSamplingAdvanced(comfy.model_sampling.ModelSamplingDiscrete, comfy.model_sampling.V_PREDICTION):
+                pass
+            m.add_object_patch("model_sampling", ModelSamplingAdvanced(model.model.model_config))
+            model = m
+
+    layer_idx = clip_config.get("params", {}).get("layer_idx", None)
+    if layer_idx is not None:
+        clip.clip_layer(layer_idx)
+
+    return (model, clip, vae)
+
+def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, output_clipvision=False, embedding_directory=None, output_model=True, model_options={}, te_model_options={}):
+    sd = comfy.utils.load_torch_file(ckpt_path)
+    out = load_state_dict_guess_config(sd, output_vae, output_clip, output_clipvision, embedding_directory, output_model, model_options, te_model_options=te_model_options)
+    if out is None:
+        raise RuntimeError("ERROR: Could not detect model type of: {}".format(ckpt_path))
+    return out
+
+def load_state_dict_guess_config(sd, output_vae=True, output_clip=True, output_clipvision=False, embedding_directory=None, output_model=True, model_options={}, te_model_options={}):
+    clip = None
+    clipvision = None
+    vae = None
+    model = None
+    model_patcher = None
+
+    diffusion_model_prefix = model_detection.unet_prefix_from_state_dict(sd)
+    parameters = comfy.utils.calculate_parameters(sd, diffusion_model_prefix)
+    weight_dtype = comfy.utils.weight_dtype(sd, diffusion_model_prefix)
+    load_device = model_management.get_torch_device()
+
+    model_config = model_detection.model_config_from_unet(sd, diffusion_model_prefix)
+    if model_config is None:
+        return None
+
+    unet_weight_dtype = list(model_config.supported_inference_dtypes)
+    if weight_dtype is not None:
+        unet_weight_dtype.append(weight_dtype)
+
+    model_config.custom_operations = model_options.get("custom_operations", None)
+    unet_dtype = model_options.get("weight_dtype", None)
+
+    if unet_dtype is None:
+        unet_dtype = model_management.unet_dtype(model_params=parameters, supported_dtypes=unet_weight_dtype)
+
+    manual_cast_dtype = model_management.unet_manual_cast(unet_dtype, load_device, model_config.supported_inference_dtypes)
+    model_config.set_inference_dtype(unet_dtype, manual_cast_dtype)
+
+    if model_config.clip_vision_prefix is not None:
+        if output_clipvision:
+            clipvision = clip_vision.load_clipvision_from_sd(sd, model_config.clip_vision_prefix, True)
+
+    if output_model:
+        inital_load_device = model_management.unet_inital_load_device(parameters, unet_dtype)
+        offload_device = model_management.unet_offload_device()
+        model = model_config.get_model(sd, diffusion_model_prefix, device=inital_load_device)
+        model.load_model_weights(sd, diffusion_model_prefix)
+
+    if output_vae:
+        vae_sd = comfy.utils.state_dict_prefix_replace(sd, {k: "" for k in model_config.vae_key_prefix}, filter_keys=True)
+        vae_sd = model_config.process_vae_state_dict(vae_sd)
+        vae = VAE(sd=vae_sd)
+
+    if output_clip:
+        clip_target = model_config.clip_target(state_dict=sd)
+        if clip_target is not None:
+            clip_sd = model_config.process_clip_state_dict(sd)
+            if len(clip_sd) > 0:
+                parameters = comfy.utils.calculate_parameters(clip_sd)
+                clip = CLIP(clip_target, embedding_directory=embedding_directory, tokenizer_data=clip_sd, parameters=parameters, model_options=te_model_options)
+                m, u = clip.load_sd(clip_sd, full_model=True)
+                if len(m) > 0:
+                    m_filter = list(filter(lambda a: ".logit_scale" not in a and ".transformer.text_projection.weight" not in a, m))
+                    if len(m_filter) > 0:
+                        logging.warning("clip missing: {}".format(m))
+                    else:
+                        logging.debug("clip missing: {}".format(m))
+
+                if len(u) > 0:
+                    logging.debug("clip unexpected {}:".format(u))
+            else:
+                logging.warning("no CLIP/text encoder weights in checkpoint, the text encoder model will not be loaded.")
+
+    left_over = sd.keys()
+    if len(left_over) > 0:
+        logging.debug("left over keys: {}".format(left_over))
+
+    if output_model:
+        model_patcher = comfy.model_patcher.ModelPatcher(model, load_device=load_device, offload_device=model_management.unet_offload_device())
+        if inital_load_device != torch.device("cpu"):
+            logging.info("loaded straight to GPU")
+            model_management.load_models_gpu([model_patcher], force_full_load=True)
+
+    return (model_patcher, clip, vae, clipvision)
+
+
+def load_diffusion_model_state_dict(sd, model_options={}): #load unet in diffusers or regular format
+    dtype = model_options.get("dtype", None)
+
+    #Allow loading unets from checkpoint files
+    diffusion_model_prefix = model_detection.unet_prefix_from_state_dict(sd)
+    temp_sd = comfy.utils.state_dict_prefix_replace(sd, {diffusion_model_prefix: ""}, filter_keys=True)
+    if len(temp_sd) > 0:
+        sd = temp_sd
+
+    parameters = comfy.utils.calculate_parameters(sd)
+    load_device = model_management.get_torch_device()
+    model_config = model_detection.model_config_from_unet(sd, "")
+
+    if model_config is not None:
+        new_sd = sd
+    else:
+        new_sd = model_detection.convert_diffusers_mmdit(sd, "")
+        if new_sd is not None: #diffusers mmdit
+            model_config = model_detection.model_config_from_unet(new_sd, "")
+            if model_config is None:
+                return None
+        else: #diffusers unet
+            model_config = model_detection.model_config_from_diffusers_unet(sd)
+            if model_config is None:
+                return None
+
+            diffusers_keys = comfy.utils.unet_to_diffusers(model_config.unet_config)
+
+            new_sd = {}
+            for k in diffusers_keys:
+                if k in sd:
+                    new_sd[diffusers_keys[k]] = sd.pop(k)
+                else:
+                    logging.warning("{} {}".format(diffusers_keys[k], k))
+
+    offload_device = model_management.unet_offload_device()
+    if dtype is None:
+        unet_dtype = model_management.unet_dtype(model_params=parameters, supported_dtypes=model_config.supported_inference_dtypes)
+    else:
+        unet_dtype = dtype
+
+    manual_cast_dtype = model_management.unet_manual_cast(unet_dtype, load_device, model_config.supported_inference_dtypes)
+    model_config.set_inference_dtype(unet_dtype, manual_cast_dtype)
+    model_config.custom_operations = model_options.get("custom_operations", None)
+    model = model_config.get_model(new_sd, "")
+    model = model.to(offload_device)
+    model.load_model_weights(new_sd, "")
+    left_over = sd.keys()
+    if len(left_over) > 0:
+        logging.info("left over keys in unet: {}".format(left_over))
+    return comfy.model_patcher.ModelPatcher(model, load_device=load_device, offload_device=offload_device)
+
+
+def load_diffusion_model(unet_path, model_options={}):
+    sd = comfy.utils.load_torch_file(unet_path)
+    model = load_diffusion_model_state_dict(sd, model_options=model_options)
+    if model is None:
+        logging.error("ERROR UNSUPPORTED UNET {}".format(unet_path))
+        raise RuntimeError("ERROR: Could not detect model type of: {}".format(unet_path))
+    return model
+
+def load_unet(unet_path, dtype=None):
+    print("WARNING: the load_unet function has been deprecated and will be removed please switch to: load_diffusion_model")
+    return load_diffusion_model(unet_path, model_options={"dtype": dtype})
+
+def load_unet_state_dict(sd, dtype=None):
+    print("WARNING: the load_unet_state_dict function has been deprecated and will be removed please switch to: load_diffusion_model_state_dict")
+    return load_diffusion_model_state_dict(sd, model_options={"dtype": dtype})
+
+def save_checkpoint(output_path, model, clip=None, vae=None, clip_vision=None, metadata=None, extra_keys={}):
+    clip_sd = None
+    load_models = [model]
+    if clip is not None:
+        load_models.append(clip.load_model())
+        clip_sd = clip.get_sd()
+    vae_sd = None
+    if vae is not None:
+        vae_sd = vae.get_sd()
+
+    model_management.load_models_gpu(load_models, force_patch_weights=True)
+    clip_vision_sd = clip_vision.get_sd() if clip_vision is not None else None
+    sd = model.model.state_dict_for_saving(clip_sd, vae_sd, clip_vision_sd)
+    for k in extra_keys:
+        sd[k] = extra_keys[k]
+
+    for k in sd:
+        t = sd[k]
+        if not t.is_contiguous():
+            sd[k] = t.contiguous()
+
+    comfy.utils.save_torch_file(sd, output_path, metadata=metadata)
diff --git a/ComfyUI/comfy/sd1_clip.py b/ComfyUI/comfy/sd1_clip.py
new file mode 100644
index 0000000000000000000000000000000000000000..676653f777b6fa0720db474e855835e57e647559
--- /dev/null
+++ b/ComfyUI/comfy/sd1_clip.py
@@ -0,0 +1,591 @@
+import os
+
+from transformers import CLIPTokenizer
+import comfy.ops
+import torch
+import traceback
+import zipfile
+from . import model_management
+import comfy.clip_model
+import json
+import logging
+import numbers
+
+def gen_empty_tokens(special_tokens, length):
+    start_token = special_tokens.get("start", None)
+    end_token = special_tokens.get("end", None)
+    pad_token = special_tokens.get("pad")
+    output = []
+    if start_token is not None:
+        output.append(start_token)
+    if end_token is not None:
+        output.append(end_token)
+    output += [pad_token] * (length - len(output))
+    return output
+
+class ClipTokenWeightEncoder:
+    def encode_token_weights(self, token_weight_pairs):
+        to_encode = list()
+        max_token_len = 0
+        has_weights = False
+        for x in token_weight_pairs:
+            tokens = list(map(lambda a: a[0], x))
+            max_token_len = max(len(tokens), max_token_len)
+            has_weights = has_weights or not all(map(lambda a: a[1] == 1.0, x))
+            to_encode.append(tokens)
+
+        sections = len(to_encode)
+        if has_weights or sections == 0:
+            to_encode.append(gen_empty_tokens(self.special_tokens, max_token_len))
+
+        o = self.encode(to_encode)
+        out, pooled = o[:2]
+
+        if pooled is not None:
+            first_pooled = pooled[0:1].to(model_management.intermediate_device())
+        else:
+            first_pooled = pooled
+
+        output = []
+        for k in range(0, sections):
+            z = out[k:k+1]
+            if has_weights:
+                z_empty = out[-1]
+                for i in range(len(z)):
+                    for j in range(len(z[i])):
+                        weight = token_weight_pairs[k][j][1]
+                        if weight != 1.0:
+                            z[i][j] = (z[i][j] - z_empty[j]) * weight + z_empty[j]
+            output.append(z)
+
+        if (len(output) == 0):
+            r = (out[-1:].to(model_management.intermediate_device()), first_pooled)
+        else:
+            r = (torch.cat(output, dim=-2).to(model_management.intermediate_device()), first_pooled)
+
+        if len(o) > 2:
+            extra = {}
+            for k in o[2]:
+                v = o[2][k]
+                if k == "attention_mask":
+                    v = v[:sections].flatten().unsqueeze(dim=0).to(model_management.intermediate_device())
+                extra[k] = v
+
+            r = r + (extra,)
+        return r
+
+class SDClipModel(torch.nn.Module, ClipTokenWeightEncoder):
+    LAYERS = [
+        "last",
+        "pooled",
+        "hidden"
+    ]
+    def __init__(self, version="openai/clip-vit-large-patch14", device="cpu", max_length=77,
+                 freeze=True, layer="last", layer_idx=None, textmodel_json_config=None, dtype=None, model_class=comfy.clip_model.CLIPTextModel,
+                 special_tokens={"start": 49406, "end": 49407, "pad": 49407}, layer_norm_hidden_state=True, enable_attention_masks=False, zero_out_masked=False,
+                 return_projected_pooled=True, return_attention_masks=False, model_options={}):  # clip-vit-base-patch32
+        super().__init__()
+        assert layer in self.LAYERS
+
+        if textmodel_json_config is None:
+            textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "sd1_clip_config.json")
+
+        with open(textmodel_json_config) as f:
+            config = json.load(f)
+
+        operations = model_options.get("custom_operations", None)
+        if operations is None:
+            operations = comfy.ops.manual_cast
+
+        self.operations = operations
+        self.transformer = model_class(config, dtype, device, self.operations)
+        self.num_layers = self.transformer.num_layers
+
+        self.max_length = max_length
+        if freeze:
+            self.freeze()
+        self.layer = layer
+        self.layer_idx = None
+        self.special_tokens = special_tokens
+
+        self.logit_scale = torch.nn.Parameter(torch.tensor(4.6055))
+        self.enable_attention_masks = enable_attention_masks
+        self.zero_out_masked = zero_out_masked
+
+        self.layer_norm_hidden_state = layer_norm_hidden_state
+        self.return_projected_pooled = return_projected_pooled
+        self.return_attention_masks = return_attention_masks
+
+        if layer == "hidden":
+            assert layer_idx is not None
+            assert abs(layer_idx) < self.num_layers
+            self.set_clip_options({"layer": layer_idx})
+        self.options_default = (self.layer, self.layer_idx, self.return_projected_pooled)
+
+    def freeze(self):
+        self.transformer = self.transformer.eval()
+        #self.train = disabled_train
+        for param in self.parameters():
+            param.requires_grad = False
+
+    def set_clip_options(self, options):
+        layer_idx = options.get("layer", self.layer_idx)
+        self.return_projected_pooled = options.get("projected_pooled", self.return_projected_pooled)
+        if layer_idx is None or abs(layer_idx) > self.num_layers:
+            self.layer = "last"
+        else:
+            self.layer = "hidden"
+            self.layer_idx = layer_idx
+
+    def reset_clip_options(self):
+        self.layer = self.options_default[0]
+        self.layer_idx = self.options_default[1]
+        self.return_projected_pooled = self.options_default[2]
+
+    def set_up_textual_embeddings(self, tokens, current_embeds):
+        out_tokens = []
+        next_new_token = token_dict_size = current_embeds.weight.shape[0]
+        embedding_weights = []
+
+        for x in tokens:
+            tokens_temp = []
+            for y in x:
+                if isinstance(y, numbers.Integral):
+                    tokens_temp += [int(y)]
+                else:
+                    if y.shape[0] == current_embeds.weight.shape[1]:
+                        embedding_weights += [y]
+                        tokens_temp += [next_new_token]
+                        next_new_token += 1
+                    else:
+                        logging.warning("WARNING: shape mismatch when trying to apply embedding, embedding will be ignored {} != {}".format(y.shape[0], current_embeds.weight.shape[1]))
+            while len(tokens_temp) < len(x):
+                tokens_temp += [self.special_tokens["pad"]]
+            out_tokens += [tokens_temp]
+
+        n = token_dict_size
+        if len(embedding_weights) > 0:
+            new_embedding = self.operations.Embedding(next_new_token + 1, current_embeds.weight.shape[1], device=current_embeds.weight.device, dtype=current_embeds.weight.dtype)
+            new_embedding.weight[:token_dict_size] = current_embeds.weight
+            for x in embedding_weights:
+                new_embedding.weight[n] = x
+                n += 1
+            self.transformer.set_input_embeddings(new_embedding)
+
+        processed_tokens = []
+        for x in out_tokens:
+            processed_tokens += [list(map(lambda a: n if a == -1 else a, x))] #The EOS token should always be the largest one
+
+        return processed_tokens
+
+    def forward(self, tokens):
+        backup_embeds = self.transformer.get_input_embeddings()
+        device = backup_embeds.weight.device
+        tokens = self.set_up_textual_embeddings(tokens, backup_embeds)
+        tokens = torch.LongTensor(tokens).to(device)
+
+        attention_mask = None
+        if self.enable_attention_masks or self.zero_out_masked or self.return_attention_masks:
+            attention_mask = torch.zeros_like(tokens)
+            end_token = self.special_tokens.get("end", -1)
+            for x in range(attention_mask.shape[0]):
+                for y in range(attention_mask.shape[1]):
+                    attention_mask[x, y] = 1
+                    if tokens[x, y] == end_token:
+                        break
+
+        attention_mask_model = None
+        if self.enable_attention_masks:
+            attention_mask_model = attention_mask
+
+        outputs = self.transformer(tokens, attention_mask_model, intermediate_output=self.layer_idx, final_layer_norm_intermediate=self.layer_norm_hidden_state, dtype=torch.float32)
+        self.transformer.set_input_embeddings(backup_embeds)
+
+        if self.layer == "last":
+            z = outputs[0].float()
+        else:
+            z = outputs[1].float()
+
+        if self.zero_out_masked:
+            z *= attention_mask.unsqueeze(-1).float()
+
+        pooled_output = None
+        if len(outputs) >= 3:
+            if not self.return_projected_pooled and len(outputs) >= 4 and outputs[3] is not None:
+                pooled_output = outputs[3].float()
+            elif outputs[2] is not None:
+                pooled_output = outputs[2].float()
+
+        extra = {}
+        if self.return_attention_masks:
+            extra["attention_mask"] = attention_mask
+
+        if len(extra) > 0:
+            return z, pooled_output, extra
+
+        return z, pooled_output
+
+    def encode(self, tokens):
+        return self(tokens)
+
+    def load_sd(self, sd):
+        return self.transformer.load_state_dict(sd, strict=False)
+
+def parse_parentheses(string):
+    result = []
+    current_item = ""
+    nesting_level = 0
+    for char in string:
+        if char == "(":
+            if nesting_level == 0:
+                if current_item:
+                    result.append(current_item)
+                    current_item = "("
+                else:
+                    current_item = "("
+            else:
+                current_item += char
+            nesting_level += 1
+        elif char == ")":
+            nesting_level -= 1
+            if nesting_level == 0:
+                result.append(current_item + ")")
+                current_item = ""
+            else:
+                current_item += char
+        else:
+            current_item += char
+    if current_item:
+        result.append(current_item)
+    return result
+
+def token_weights(string, current_weight):
+    a = parse_parentheses(string)
+    out = []
+    for x in a:
+        weight = current_weight
+        if len(x) >= 2 and x[-1] == ')' and x[0] == '(':
+            x = x[1:-1]
+            xx = x.rfind(":")
+            weight *= 1.1
+            if xx > 0:
+                try:
+                    weight = float(x[xx+1:])
+                    x = x[:xx]
+                except:
+                    pass
+            out += token_weights(x, weight)
+        else:
+            out += [(x, current_weight)]
+    return out
+
+def escape_important(text):
+    text = text.replace("\\)", "\0\1")
+    text = text.replace("\\(", "\0\2")
+    return text
+
+def unescape_important(text):
+    text = text.replace("\0\1", ")")
+    text = text.replace("\0\2", "(")
+    return text
+
+def safe_load_embed_zip(embed_path):
+    with zipfile.ZipFile(embed_path) as myzip:
+        names = list(filter(lambda a: "data/" in a, myzip.namelist()))
+        names.reverse()
+        for n in names:
+            with myzip.open(n) as myfile:
+                data = myfile.read()
+                number = len(data) // 4
+                length_embed = 1024 #sd2.x
+                if number < 768:
+                    continue
+                if number % 768 == 0:
+                    length_embed = 768 #sd1.x
+                num_embeds = number // length_embed
+                embed = torch.frombuffer(data, dtype=torch.float)
+                out = embed.reshape((num_embeds, length_embed)).clone()
+                del embed
+                return out
+
+def expand_directory_list(directories):
+    dirs = set()
+    for x in directories:
+        dirs.add(x)
+        for root, subdir, file in os.walk(x, followlinks=True):
+            dirs.add(root)
+    return list(dirs)
+
+def bundled_embed(embed, prefix, suffix): #bundled embedding in lora format
+    i = 0
+    out_list = []
+    for k in embed:
+        if k.startswith(prefix) and k.endswith(suffix):
+            out_list.append(embed[k])
+    if len(out_list) == 0:
+        return None
+
+    return torch.cat(out_list, dim=0)
+
+def load_embed(embedding_name, embedding_directory, embedding_size, embed_key=None):
+    if isinstance(embedding_directory, str):
+        embedding_directory = [embedding_directory]
+
+    embedding_directory = expand_directory_list(embedding_directory)
+
+    valid_file = None
+    for embed_dir in embedding_directory:
+        embed_path = os.path.abspath(os.path.join(embed_dir, embedding_name))
+        embed_dir = os.path.abspath(embed_dir)
+        try:
+            if os.path.commonpath((embed_dir, embed_path)) != embed_dir:
+                continue
+        except:
+            continue
+        if not os.path.isfile(embed_path):
+            extensions = ['.safetensors', '.pt', '.bin']
+            for x in extensions:
+                t = embed_path + x
+                if os.path.isfile(t):
+                    valid_file = t
+                    break
+        else:
+            valid_file = embed_path
+        if valid_file is not None:
+            break
+
+    if valid_file is None:
+        return None
+
+    embed_path = valid_file
+
+    embed_out = None
+
+    try:
+        if embed_path.lower().endswith(".safetensors"):
+            import safetensors.torch
+            embed = safetensors.torch.load_file(embed_path, device="cpu")
+        else:
+            if 'weights_only' in torch.load.__code__.co_varnames:
+                try:
+                    embed = torch.load(embed_path, weights_only=True, map_location="cpu")
+                except:
+                    embed_out = safe_load_embed_zip(embed_path)
+            else:
+                embed = torch.load(embed_path, map_location="cpu")
+    except Exception as e:
+        logging.warning("{}\n\nerror loading embedding, skipping loading: {}".format(traceback.format_exc(), embedding_name))
+        return None
+
+    if embed_out is None:
+        if 'string_to_param' in embed:
+            values = embed['string_to_param'].values()
+            embed_out = next(iter(values))
+        elif isinstance(embed, list):
+            out_list = []
+            for x in range(len(embed)):
+                for k in embed[x]:
+                    t = embed[x][k]
+                    if t.shape[-1] != embedding_size:
+                        continue
+                    out_list.append(t.reshape(-1, t.shape[-1]))
+            embed_out = torch.cat(out_list, dim=0)
+        elif embed_key is not None and embed_key in embed:
+            embed_out = embed[embed_key]
+        else:
+            embed_out = bundled_embed(embed, 'bundle_emb.', '.string_to_param.*')
+            if embed_out is None:
+                embed_out = bundled_embed(embed, 'bundle_emb.', '.{}'.format(embed_key))
+            if embed_out is None:
+                values = embed.values()
+                embed_out = next(iter(values))
+    return embed_out
+
+class SDTokenizer:
+    def __init__(self, tokenizer_path=None, max_length=77, pad_with_end=True, embedding_directory=None, embedding_size=768, embedding_key='clip_l', tokenizer_class=CLIPTokenizer, has_start_token=True, pad_to_max_length=True, min_length=None, pad_token=None, tokenizer_data={}):
+        if tokenizer_path is None:
+            tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "sd1_tokenizer")
+        self.tokenizer = tokenizer_class.from_pretrained(tokenizer_path)
+        self.max_length = max_length
+        self.min_length = min_length
+
+        empty = self.tokenizer('')["input_ids"]
+        if has_start_token:
+            self.tokens_start = 1
+            self.start_token = empty[0]
+            self.end_token = empty[1]
+        else:
+            self.tokens_start = 0
+            self.start_token = None
+            self.end_token = empty[0]
+
+        if pad_token is not None:
+            self.pad_token = pad_token
+        elif pad_with_end:
+            self.pad_token = self.end_token
+        else:
+            self.pad_token = 0
+
+        self.pad_with_end = pad_with_end
+        self.pad_to_max_length = pad_to_max_length
+
+        vocab = self.tokenizer.get_vocab()
+        self.inv_vocab = {v: k for k, v in vocab.items()}
+        self.embedding_directory = embedding_directory
+        self.max_word_length = 8
+        self.embedding_identifier = "embedding:"
+        self.embedding_size = embedding_size
+        self.embedding_key = embedding_key
+
+    def _try_get_embedding(self, embedding_name:str):
+        '''
+        Takes a potential embedding name and tries to retrieve it.
+        Returns a Tuple consisting of the embedding and any leftover string, embedding can be None.
+        '''
+        embed = load_embed(embedding_name, self.embedding_directory, self.embedding_size, self.embedding_key)
+        if embed is None:
+            stripped = embedding_name.strip(',')
+            if len(stripped) < len(embedding_name):
+                embed = load_embed(stripped, self.embedding_directory, self.embedding_size, self.embedding_key)
+                return (embed, embedding_name[len(stripped):])
+        return (embed, "")
+
+
+    def tokenize_with_weights(self, text:str, return_word_ids=False):
+        '''
+        Takes a prompt and converts it to a list of (token, weight, word id) elements.
+        Tokens can both be integer tokens and pre computed CLIP tensors.
+        Word id values are unique per word and embedding, where the id 0 is reserved for non word tokens.
+        Returned list has the dimensions NxM where M is the input size of CLIP
+        '''
+
+        text = escape_important(text)
+        parsed_weights = token_weights(text, 1.0)
+
+        #tokenize words
+        tokens = []
+        for weighted_segment, weight in parsed_weights:
+            to_tokenize = unescape_important(weighted_segment).replace("\n", " ").split(' ')
+            to_tokenize = [x for x in to_tokenize if x != ""]
+            for word in to_tokenize:
+                #if we find an embedding, deal with the embedding
+                if word.startswith(self.embedding_identifier) and self.embedding_directory is not None:
+                    embedding_name = word[len(self.embedding_identifier):].strip('\n')
+                    embed, leftover = self._try_get_embedding(embedding_name)
+                    if embed is None:
+                        logging.warning(f"warning, embedding:{embedding_name} does not exist, ignoring")
+                    else:
+                        if len(embed.shape) == 1:
+                            tokens.append([(embed, weight)])
+                        else:
+                            tokens.append([(embed[x], weight) for x in range(embed.shape[0])])
+                    #if we accidentally have leftover text, continue parsing using leftover, else move on to next word
+                    if leftover != "":
+                        word = leftover
+                    else:
+                        continue
+                #parse word
+                tokens.append([(t, weight) for t in self.tokenizer(word)["input_ids"][self.tokens_start:-1]])
+
+        #reshape token array to CLIP input size
+        batched_tokens = []
+        batch = []
+        if self.start_token is not None:
+            batch.append((self.start_token, 1.0, 0))
+        batched_tokens.append(batch)
+        for i, t_group in enumerate(tokens):
+            #determine if we're going to try and keep the tokens in a single batch
+            is_large = len(t_group) >= self.max_word_length
+
+            while len(t_group) > 0:
+                if len(t_group) + len(batch) > self.max_length - 1:
+                    remaining_length = self.max_length - len(batch) - 1
+                    #break word in two and add end token
+                    if is_large:
+                        batch.extend([(t,w,i+1) for t,w in t_group[:remaining_length]])
+                        batch.append((self.end_token, 1.0, 0))
+                        t_group = t_group[remaining_length:]
+                    #add end token and pad
+                    else:
+                        batch.append((self.end_token, 1.0, 0))
+                        if self.pad_to_max_length:
+                            batch.extend([(self.pad_token, 1.0, 0)] * (remaining_length))
+                    #start new batch
+                    batch = []
+                    if self.start_token is not None:
+                        batch.append((self.start_token, 1.0, 0))
+                    batched_tokens.append(batch)
+                else:
+                    batch.extend([(t,w,i+1) for t,w in t_group])
+                    t_group = []
+
+        #fill last batch
+        batch.append((self.end_token, 1.0, 0))
+        if self.pad_to_max_length:
+            batch.extend([(self.pad_token, 1.0, 0)] * (self.max_length - len(batch)))
+        if self.min_length is not None and len(batch) < self.min_length:
+            batch.extend([(self.pad_token, 1.0, 0)] * (self.min_length - len(batch)))
+
+        if not return_word_ids:
+            batched_tokens = [[(t, w) for t, w,_ in x] for x in batched_tokens]
+
+        return batched_tokens
+
+
+    def untokenize(self, token_weight_pair):
+        return list(map(lambda a: (a, self.inv_vocab[a[0]]), token_weight_pair))
+
+    def state_dict(self):
+        return {}
+
+class SD1Tokenizer:
+    def __init__(self, embedding_directory=None, tokenizer_data={}, clip_name="l", tokenizer=SDTokenizer):
+        self.clip_name = clip_name
+        self.clip = "clip_{}".format(self.clip_name)
+        setattr(self, self.clip, tokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data))
+
+    def tokenize_with_weights(self, text:str, return_word_ids=False):
+        out = {}
+        out[self.clip_name] = getattr(self, self.clip).tokenize_with_weights(text, return_word_ids)
+        return out
+
+    def untokenize(self, token_weight_pair):
+        return getattr(self, self.clip).untokenize(token_weight_pair)
+
+    def state_dict(self):
+        return {}
+
+class SD1CheckpointClipModel(SDClipModel):
+    def __init__(self, device="cpu", dtype=None, model_options={}):
+        super().__init__(device=device, return_projected_pooled=False, dtype=dtype, model_options=model_options)
+
+class SD1ClipModel(torch.nn.Module):
+    def __init__(self, device="cpu", dtype=None, model_options={}, clip_name="l", clip_model=SD1CheckpointClipModel, name=None, **kwargs):
+        super().__init__()
+
+        if name is not None:
+            self.clip_name = name
+            self.clip = "{}".format(self.clip_name)
+        else:
+            self.clip_name = clip_name
+            self.clip = "clip_{}".format(self.clip_name)
+
+        setattr(self, self.clip, clip_model(device=device, dtype=dtype, model_options=model_options, **kwargs))
+
+        self.dtypes = set()
+        if dtype is not None:
+            self.dtypes.add(dtype)
+
+    def set_clip_options(self, options):
+        getattr(self, self.clip).set_clip_options(options)
+
+    def reset_clip_options(self):
+        getattr(self, self.clip).reset_clip_options()
+
+    def encode_token_weights(self, token_weight_pairs):
+        token_weight_pairs = token_weight_pairs[self.clip_name]
+        out = getattr(self, self.clip).encode_token_weights(token_weight_pairs)
+        return out
+
+    def load_sd(self, sd):
+        return getattr(self, self.clip).load_sd(sd)
diff --git a/ComfyUI/comfy/sd1_clip_config.json b/ComfyUI/comfy/sd1_clip_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3ba8c6b5bc3d6389fb6c9e2c8231729ad9d663a4
--- /dev/null
+++ b/ComfyUI/comfy/sd1_clip_config.json
@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "openai/clip-vit-large-patch14",
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 49407,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 768,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
+  "vocab_size": 49408
+}
diff --git a/ComfyUI/comfy/sd1_tokenizer/merges.txt b/ComfyUI/comfy/sd1_tokenizer/merges.txt
new file mode 100644
index 0000000000000000000000000000000000000000..76e821f1b6f0a9709293c3b6b51ed90980b3166b
--- /dev/null
+++ b/ComfyUI/comfy/sd1_tokenizer/merges.txt
@@ -0,0 +1,48895 @@
+#version: 0.2
+i n
+t h
+a n
+r e
+a r
+e r
+th e</w>
+in g</w>
+o u
+o n
+s t
+o r
+e n
+o n</w>
+a l
+a t
+e r</w>
+i t
+i n</w>
+t o</w>
+r o
+i s</w>
+l e
+i c
+a t</w>
+an d</w>
+e d</w>
+o f</w>
+c h
+o r</w>
+e s</w>
+i l
+e l
+s t</w>
+a c
+o m
+a m
+l o
+a n</w>
+a y</w>
+s h
+r i
+l i
+t i
+f or</w>
+n e
+ð Ł
+r a
+h a
+d e
+o l
+v e</w>
+s i
+u r
+a l</w>
+s e
+' s</w>
+u n
+d i
+b e
+l a
+w h
+o o
+d ay</w>
+e n</w>
+m a
+n o
+l e</w>
+t o
+ou r</w>
+i r
+g h
+w it
+i t</w>
+y o
+a s
+s p
+th is</w>
+t s</w>
+at i
+yo u</w>
+wit h</w>
+a d
+i s
+a b
+l y</w>
+w e
+th e
+t e
+a s</w>
+a g
+v i
+p p
+s u
+h o
+m y</w>
+. .
+b u
+c om
+s e</w>
+er s</w>
+m e
+m e</w>
+al l</w>
+c on
+m o
+k e</w>
+g e
+ou t</w>
+en t</w>
+c o
+f e
+v er
+a r</w>
+f ro
+a u
+p o
+c e</w>
+gh t</w>
+ar e</w>
+s s</w>
+fro m</w>
+c h</w>
+t r
+ou n
+on e</w>
+b y</w>
+d o
+t h</w>
+w or
+er e</w>
+k e
+p ro
+f or
+d s</w>
+b o
+t a
+w e</w>
+g o
+h e
+t er</w>
+in g
+d e</w>
+b e</w>
+ati on</w>
+m or
+a y
+e x
+il l</w>
+p e
+k s</w>
+s c
+l u
+f u
+q u
+v er</w>
+ðŁ ĺ
+j u
+m u
+at e</w>
+an d
+v e
+k ing</w>
+m ar
+o p
+h i
+.. .</w>
+p re
+a d</w>
+r u
+th at</w>
+j o
+o f
+c e
+ne w</w>
+a m</w>
+a p
+g re
+s s
+d u
+no w</w>
+y e
+t ing</w>
+y our</w>
+it y</w>
+n i
+c i
+p ar
+g u
+f i
+a f
+p er
+t er
+u p</w>
+s o</w>
+g i
+on s</w>
+g r
+g e</w>
+b r
+p l
+' t</w>
+m i
+in e</w>
+we e
+b i
+u s</w>
+sh o
+ha ve</w>
+to day</w>
+a v
+m an
+en t
+ac k</w>
+ur e</w>
+ou r
+â Ģ
+c u
+l d</w>
+lo o
+i m
+ic e</w>
+s om
+f in
+re d</w>
+re n
+oo d</w>
+w as</w>
+ti on</w>
+p i
+i r</w>
+th er</w>
+t y</w>
+p h
+ar d</w>
+e c
+! !</w>
+m on
+mor e</w>
+w ill</w>
+t ra
+c an</w>
+c ol
+p u
+t e</w>
+w n</w>
+m b
+s o
+it i
+ju st</w>
+n ing</w>
+h ere</w>
+t u
+p a
+p r
+bu t</w>
+wh at</w>
+al ly</w>
+f ir
+m in
+c a
+an t</w>
+s a
+t ed</w>
+e v
+m ent</w>
+f a
+ge t</w>
+am e</w>
+ab out</w>
+g ra
+no t</w>
+ha pp
+ay s</w>
+m an</w>
+h is</w>
+ti me</w>
+li ke</w>
+g h</w>
+ha s</w>
+th an
+lo ve</w>
+ar t</w>
+st e
+d ing</w>
+h e</w>
+c re
+w s</w>
+w at
+d er</w>
+it e</w>
+s er
+ac e</w>
+ag e</w>
+en d</w>
+st r
+a w
+st or
+r e</w>
+c ar
+el l</w>
+al l
+p s</w>
+f ri
+p ho
+p or
+d o</w>
+a k
+w i
+f re
+wh o</w>
+sh i
+b oo
+s on</w>
+el l
+wh en</w>
+il l
+ho w</w>
+gre at</w>
+w in
+e l</w>
+b l
+s si
+al i
+som e</w>
+ðŁ Ĵ
+t on
+d er
+le s</w>
+p la
+ï ¸
+e d
+s ch
+h u
+on g</w>
+d on</w>
+k i
+s h</w>
+an n
+c or
+. .</w>
+oun d</w>
+a z
+in e
+ar y</w>
+fu l</w>
+st u
+ou ld</w>
+st i
+g o</w>
+se e</w>
+ab le</w>
+ar s</w>
+l l</w>
+m is
+b er
+c k</w>
+w a
+en ts</w>
+n o</w>
+si g
+f e</w>
+fir st</w>
+e t</w>
+sp e
+ac k
+i f</w>
+ou s</w>
+' m</w>
+st er</w>
+a pp
+an g
+an ce</w>
+an s</w>
+g ood</w>
+b re
+e ver
+the y</w>
+t ic
+com e</w>
+of f
+b ack</w>
+as e</w>
+ing s</w>
+ol d</w>
+i ght</w>
+f o
+h er</w>
+happ y</w>
+p ic
+it s</w>
+v ing</w>
+u s
+m at
+h om
+d y</w>
+e m
+s k
+y ing</w>
+the ir</w>
+le d</w>
+r y</w>
+u l
+h ar
+c k
+t on</w>
+on al</w>
+h el
+r ic
+b ir
+vi e
+w ay</w>
+t ri
+d a
+p le
+b ro
+st o
+oo l</w>
+ni ght</w>
+tr u
+b a
+re ad
+re s</w>
+ye ar</w>
+f r
+t or
+al s</w>
+c oun
+c la
+t ure</w>
+v el
+at ed</w>
+le c
+en d
+th ing</w>
+v o
+ic i
+be st</w>
+c an
+wor k</w>
+la st</w>
+af ter</w>
+en ce</w>
+p ri
+p e</w>
+e s
+i l</w>
+âĢ ¦</w>
+d re
+y s</w>
+o ver</w>
+i es</w>
+ðŁ ij
+com m
+t w
+in k</w>
+s un
+c l
+li fe</w>
+t t
+a ch
+l and</w>
+s y
+t re
+t al
+p ol
+s m
+du c
+s al
+f t</w>
+' re</w>
+ch e
+w ar
+t ur
+ati ons</w>
+ac h</w>
+m s</w>
+il e</w>
+p m</w>
+ou gh</w>
+at e
+st ar
+wee k</w>
+! !!</w>
+c lu
+th ere</w>
+n er</w>
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new file mode 100644
index 0000000000000000000000000000000000000000..2c2130b544c0c5a72d5d00da071ba130a9800fb2
--- /dev/null
+++ b/ComfyUI/comfy/sd1_tokenizer/special_tokens_map.json
@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
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+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/ComfyUI/comfy/sd1_tokenizer/tokenizer_config.json b/ComfyUI/comfy/sd1_tokenizer/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5ba7bf706515bc60487ad0e1816b4929b82542d6
--- /dev/null
+++ b/ComfyUI/comfy/sd1_tokenizer/tokenizer_config.json
@@ -0,0 +1,34 @@
+{
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "do_lower_case": true,
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "model_max_length": 77,
+  "name_or_path": "openai/clip-vit-large-patch14",
+  "pad_token": "<|endoftext|>",
+  "special_tokens_map_file": "./special_tokens_map.json",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}
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new file mode 100644
index 0000000000000000000000000000000000000000..469be27c5c010538f845f518c4f5e8574c78f7c8
--- /dev/null
+++ b/ComfyUI/comfy/sd1_tokenizer/vocab.json
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diff --git a/ComfyUI/comfy/sdxl_clip.py b/ComfyUI/comfy/sdxl_clip.py
new file mode 100644
index 0000000000000000000000000000000000000000..a0145caa4c16dbfd5220a83943dfdcf5c944b80a
--- /dev/null
+++ b/ComfyUI/comfy/sdxl_clip.py
@@ -0,0 +1,92 @@
+from comfy import sd1_clip
+import torch
+import os
+
+class SDXLClipG(sd1_clip.SDClipModel):
+    def __init__(self, device="cpu", max_length=77, freeze=True, layer="penultimate", layer_idx=None, dtype=None, model_options={}):
+        if layer == "penultimate":
+            layer="hidden"
+            layer_idx=-2
+
+        textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_config_bigg.json")
+        super().__init__(device=device, freeze=freeze, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype,
+                         special_tokens={"start": 49406, "end": 49407, "pad": 0}, layer_norm_hidden_state=False, return_projected_pooled=True, model_options=model_options)
+
+    def load_sd(self, sd):
+        return super().load_sd(sd)
+
+class SDXLClipGTokenizer(sd1_clip.SDTokenizer):
+    def __init__(self, tokenizer_path=None, embedding_directory=None, tokenizer_data={}):
+        super().__init__(tokenizer_path, pad_with_end=False, embedding_directory=embedding_directory, embedding_size=1280, embedding_key='clip_g')
+
+
+class SDXLTokenizer:
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        self.clip_l = sd1_clip.SDTokenizer(embedding_directory=embedding_directory)
+        self.clip_g = SDXLClipGTokenizer(embedding_directory=embedding_directory)
+
+    def tokenize_with_weights(self, text:str, return_word_ids=False):
+        out = {}
+        out["g"] = self.clip_g.tokenize_with_weights(text, return_word_ids)
+        out["l"] = self.clip_l.tokenize_with_weights(text, return_word_ids)
+        return out
+
+    def untokenize(self, token_weight_pair):
+        return self.clip_g.untokenize(token_weight_pair)
+
+    def state_dict(self):
+        return {}
+
+class SDXLClipModel(torch.nn.Module):
+    def __init__(self, device="cpu", dtype=None, model_options={}):
+        super().__init__()
+        self.clip_l = sd1_clip.SDClipModel(layer="hidden", layer_idx=-2, device=device, dtype=dtype, layer_norm_hidden_state=False, model_options=model_options)
+        self.clip_g = SDXLClipG(device=device, dtype=dtype, model_options=model_options)
+        self.dtypes = set([dtype])
+
+    def set_clip_options(self, options):
+        self.clip_l.set_clip_options(options)
+        self.clip_g.set_clip_options(options)
+
+    def reset_clip_options(self):
+        self.clip_g.reset_clip_options()
+        self.clip_l.reset_clip_options()
+
+    def encode_token_weights(self, token_weight_pairs):
+        token_weight_pairs_g = token_weight_pairs["g"]
+        token_weight_pairs_l = token_weight_pairs["l"]
+        g_out, g_pooled = self.clip_g.encode_token_weights(token_weight_pairs_g)
+        l_out, l_pooled = self.clip_l.encode_token_weights(token_weight_pairs_l)
+        return torch.cat([l_out, g_out], dim=-1), g_pooled
+
+    def load_sd(self, sd):
+        if "text_model.encoder.layers.30.mlp.fc1.weight" in sd:
+            return self.clip_g.load_sd(sd)
+        else:
+            return self.clip_l.load_sd(sd)
+
+class SDXLRefinerClipModel(sd1_clip.SD1ClipModel):
+    def __init__(self, device="cpu", dtype=None, model_options={}):
+        super().__init__(device=device, dtype=dtype, clip_name="g", clip_model=SDXLClipG, model_options=model_options)
+
+
+class StableCascadeClipGTokenizer(sd1_clip.SDTokenizer):
+    def __init__(self, tokenizer_path=None, embedding_directory=None, tokenizer_data={}):
+        super().__init__(tokenizer_path, pad_with_end=True, embedding_directory=embedding_directory, embedding_size=1280, embedding_key='clip_g')
+
+class StableCascadeTokenizer(sd1_clip.SD1Tokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="g", tokenizer=StableCascadeClipGTokenizer)
+
+class StableCascadeClipG(sd1_clip.SDClipModel):
+    def __init__(self, device="cpu", max_length=77, freeze=True, layer="hidden", layer_idx=-1, dtype=None, model_options={}):
+        textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_config_bigg.json")
+        super().__init__(device=device, freeze=freeze, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype,
+                         special_tokens={"start": 49406, "end": 49407, "pad": 49407}, layer_norm_hidden_state=False, enable_attention_masks=True, return_projected_pooled=True, model_options=model_options)
+
+    def load_sd(self, sd):
+        return super().load_sd(sd)
+
+class StableCascadeClipModel(sd1_clip.SD1ClipModel):
+    def __init__(self, device="cpu", dtype=None, model_options={}):
+        super().__init__(device=device, dtype=dtype, clip_name="g", clip_model=StableCascadeClipG, model_options=model_options)
diff --git a/ComfyUI/comfy/supported_models.py b/ComfyUI/comfy/supported_models.py
new file mode 100644
index 0000000000000000000000000000000000000000..3603313fa9740ebad8abad18bfe9e24ac050573f
--- /dev/null
+++ b/ComfyUI/comfy/supported_models.py
@@ -0,0 +1,680 @@
+import torch
+from . import model_base
+from . import utils
+
+from . import sd1_clip
+from . import sdxl_clip
+import comfy.text_encoders.sd2_clip
+import comfy.text_encoders.sd3_clip
+import comfy.text_encoders.sa_t5
+import comfy.text_encoders.aura_t5
+import comfy.text_encoders.hydit
+import comfy.text_encoders.flux
+
+from . import supported_models_base
+from . import latent_formats
+
+from . import diffusers_convert
+
+class SD15(supported_models_base.BASE):
+    unet_config = {
+        "context_dim": 768,
+        "model_channels": 320,
+        "use_linear_in_transformer": False,
+        "adm_in_channels": None,
+        "use_temporal_attention": False,
+    }
+
+    unet_extra_config = {
+        "num_heads": 8,
+        "num_head_channels": -1,
+    }
+
+    latent_format = latent_formats.SD15
+    memory_usage_factor = 1.0
+
+    def process_clip_state_dict(self, state_dict):
+        k = list(state_dict.keys())
+        for x in k:
+            if x.startswith("cond_stage_model.transformer.") and not x.startswith("cond_stage_model.transformer.text_model."):
+                y = x.replace("cond_stage_model.transformer.", "cond_stage_model.transformer.text_model.")
+                state_dict[y] = state_dict.pop(x)
+
+        if 'cond_stage_model.transformer.text_model.embeddings.position_ids' in state_dict:
+            ids = state_dict['cond_stage_model.transformer.text_model.embeddings.position_ids']
+            if ids.dtype == torch.float32:
+                state_dict['cond_stage_model.transformer.text_model.embeddings.position_ids'] = ids.round()
+
+        replace_prefix = {}
+        replace_prefix["cond_stage_model."] = "clip_l."
+        state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=True)
+        return state_dict
+
+    def process_clip_state_dict_for_saving(self, state_dict):
+        pop_keys = ["clip_l.transformer.text_projection.weight", "clip_l.logit_scale"]
+        for p in pop_keys:
+            if p in state_dict:
+                state_dict.pop(p)
+
+        replace_prefix = {"clip_l.": "cond_stage_model."}
+        return utils.state_dict_prefix_replace(state_dict, replace_prefix)
+
+    def clip_target(self, state_dict={}):
+        return supported_models_base.ClipTarget(sd1_clip.SD1Tokenizer, sd1_clip.SD1ClipModel)
+
+class SD20(supported_models_base.BASE):
+    unet_config = {
+        "context_dim": 1024,
+        "model_channels": 320,
+        "use_linear_in_transformer": True,
+        "adm_in_channels": None,
+        "use_temporal_attention": False,
+    }
+
+    unet_extra_config = {
+        "num_heads": -1,
+        "num_head_channels": 64,
+        "attn_precision": torch.float32,
+    }
+
+    latent_format = latent_formats.SD15
+    memory_usage_factor = 1.0
+
+    def model_type(self, state_dict, prefix=""):
+        if self.unet_config["in_channels"] == 4: #SD2.0 inpainting models are not v prediction
+            k = "{}output_blocks.11.1.transformer_blocks.0.norm1.bias".format(prefix)
+            out = state_dict.get(k, None)
+            if out is not None and torch.std(out, unbiased=False) > 0.09: # not sure how well this will actually work. I guess we will find out.
+                return model_base.ModelType.V_PREDICTION
+        return model_base.ModelType.EPS
+
+    def process_clip_state_dict(self, state_dict):
+        replace_prefix = {}
+        replace_prefix["conditioner.embedders.0.model."] = "clip_h." #SD2 in sgm format
+        replace_prefix["cond_stage_model.model."] = "clip_h."
+        state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=True)
+        state_dict = utils.clip_text_transformers_convert(state_dict, "clip_h.", "clip_h.transformer.")
+        return state_dict
+
+    def process_clip_state_dict_for_saving(self, state_dict):
+        replace_prefix = {}
+        replace_prefix["clip_h"] = "cond_stage_model.model"
+        state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix)
+        state_dict = diffusers_convert.convert_text_enc_state_dict_v20(state_dict)
+        return state_dict
+
+    def clip_target(self, state_dict={}):
+        return supported_models_base.ClipTarget(comfy.text_encoders.sd2_clip.SD2Tokenizer, comfy.text_encoders.sd2_clip.SD2ClipModel)
+
+class SD21UnclipL(SD20):
+    unet_config = {
+        "context_dim": 1024,
+        "model_channels": 320,
+        "use_linear_in_transformer": True,
+        "adm_in_channels": 1536,
+        "use_temporal_attention": False,
+    }
+
+    clip_vision_prefix = "embedder.model.visual."
+    noise_aug_config = {"noise_schedule_config": {"timesteps": 1000, "beta_schedule": "squaredcos_cap_v2"}, "timestep_dim": 768}
+
+
+class SD21UnclipH(SD20):
+    unet_config = {
+        "context_dim": 1024,
+        "model_channels": 320,
+        "use_linear_in_transformer": True,
+        "adm_in_channels": 2048,
+        "use_temporal_attention": False,
+    }
+
+    clip_vision_prefix = "embedder.model.visual."
+    noise_aug_config = {"noise_schedule_config": {"timesteps": 1000, "beta_schedule": "squaredcos_cap_v2"}, "timestep_dim": 1024}
+
+class SDXLRefiner(supported_models_base.BASE):
+    unet_config = {
+        "model_channels": 384,
+        "use_linear_in_transformer": True,
+        "context_dim": 1280,
+        "adm_in_channels": 2560,
+        "transformer_depth": [0, 0, 4, 4, 4, 4, 0, 0],
+        "use_temporal_attention": False,
+    }
+
+    latent_format = latent_formats.SDXL
+    memory_usage_factor = 1.0
+
+    def get_model(self, state_dict, prefix="", device=None):
+        return model_base.SDXLRefiner(self, device=device)
+
+    def process_clip_state_dict(self, state_dict):
+        keys_to_replace = {}
+        replace_prefix = {}
+        replace_prefix["conditioner.embedders.0.model."] = "clip_g."
+        state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=True)
+
+        state_dict = utils.clip_text_transformers_convert(state_dict, "clip_g.", "clip_g.transformer.")
+        state_dict = utils.state_dict_key_replace(state_dict, keys_to_replace)
+        return state_dict
+
+    def process_clip_state_dict_for_saving(self, state_dict):
+        replace_prefix = {}
+        state_dict_g = diffusers_convert.convert_text_enc_state_dict_v20(state_dict, "clip_g")
+        if "clip_g.transformer.text_model.embeddings.position_ids" in state_dict_g:
+            state_dict_g.pop("clip_g.transformer.text_model.embeddings.position_ids")
+        replace_prefix["clip_g"] = "conditioner.embedders.0.model"
+        state_dict_g = utils.state_dict_prefix_replace(state_dict_g, replace_prefix)
+        return state_dict_g
+
+    def clip_target(self, state_dict={}):
+        return supported_models_base.ClipTarget(sdxl_clip.SDXLTokenizer, sdxl_clip.SDXLRefinerClipModel)
+
+class SDXL(supported_models_base.BASE):
+    unet_config = {
+        "model_channels": 320,
+        "use_linear_in_transformer": True,
+        "transformer_depth": [0, 0, 2, 2, 10, 10],
+        "context_dim": 2048,
+        "adm_in_channels": 2816,
+        "use_temporal_attention": False,
+    }
+
+    latent_format = latent_formats.SDXL
+
+    memory_usage_factor = 0.8
+
+    def model_type(self, state_dict, prefix=""):
+        if 'edm_mean' in state_dict and 'edm_std' in state_dict: #Playground V2.5
+            self.latent_format = latent_formats.SDXL_Playground_2_5()
+            self.sampling_settings["sigma_data"] = 0.5
+            self.sampling_settings["sigma_max"] = 80.0
+            self.sampling_settings["sigma_min"] = 0.002
+            return model_base.ModelType.EDM
+        elif "edm_vpred.sigma_max" in state_dict:
+            self.sampling_settings["sigma_max"] = float(state_dict["edm_vpred.sigma_max"].item())
+            if "edm_vpred.sigma_min" in state_dict:
+                self.sampling_settings["sigma_min"] = float(state_dict["edm_vpred.sigma_min"].item())
+            return model_base.ModelType.V_PREDICTION_EDM
+        elif "v_pred" in state_dict:
+            return model_base.ModelType.V_PREDICTION
+        else:
+            return model_base.ModelType.EPS
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.SDXL(self, model_type=self.model_type(state_dict, prefix), device=device)
+        if self.inpaint_model():
+            out.set_inpaint()
+        return out
+
+    def process_clip_state_dict(self, state_dict):
+        keys_to_replace = {}
+        replace_prefix = {}
+
+        replace_prefix["conditioner.embedders.0.transformer.text_model"] = "clip_l.transformer.text_model"
+        replace_prefix["conditioner.embedders.1.model."] = "clip_g."
+        state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=True)
+
+        state_dict = utils.state_dict_key_replace(state_dict, keys_to_replace)
+        state_dict = utils.clip_text_transformers_convert(state_dict, "clip_g.", "clip_g.transformer.")
+        return state_dict
+
+    def process_clip_state_dict_for_saving(self, state_dict):
+        replace_prefix = {}
+        keys_to_replace = {}
+        state_dict_g = diffusers_convert.convert_text_enc_state_dict_v20(state_dict, "clip_g")
+        for k in state_dict:
+            if k.startswith("clip_l"):
+                state_dict_g[k] = state_dict[k]
+
+        state_dict_g["clip_l.transformer.text_model.embeddings.position_ids"] = torch.arange(77).expand((1, -1))
+        pop_keys = ["clip_l.transformer.text_projection.weight", "clip_l.logit_scale"]
+        for p in pop_keys:
+            if p in state_dict_g:
+                state_dict_g.pop(p)
+
+        replace_prefix["clip_g"] = "conditioner.embedders.1.model"
+        replace_prefix["clip_l"] = "conditioner.embedders.0"
+        state_dict_g = utils.state_dict_prefix_replace(state_dict_g, replace_prefix)
+        return state_dict_g
+
+    def clip_target(self, state_dict={}):
+        return supported_models_base.ClipTarget(sdxl_clip.SDXLTokenizer, sdxl_clip.SDXLClipModel)
+
+class SSD1B(SDXL):
+    unet_config = {
+        "model_channels": 320,
+        "use_linear_in_transformer": True,
+        "transformer_depth": [0, 0, 2, 2, 4, 4],
+        "context_dim": 2048,
+        "adm_in_channels": 2816,
+        "use_temporal_attention": False,
+    }
+
+class Segmind_Vega(SDXL):
+    unet_config = {
+        "model_channels": 320,
+        "use_linear_in_transformer": True,
+        "transformer_depth": [0, 0, 1, 1, 2, 2],
+        "context_dim": 2048,
+        "adm_in_channels": 2816,
+        "use_temporal_attention": False,
+    }
+
+class KOALA_700M(SDXL):
+    unet_config = {
+        "model_channels": 320,
+        "use_linear_in_transformer": True,
+        "transformer_depth": [0, 2, 5],
+        "context_dim": 2048,
+        "adm_in_channels": 2816,
+        "use_temporal_attention": False,
+    }
+
+class KOALA_1B(SDXL):
+    unet_config = {
+        "model_channels": 320,
+        "use_linear_in_transformer": True,
+        "transformer_depth": [0, 2, 6],
+        "context_dim": 2048,
+        "adm_in_channels": 2816,
+        "use_temporal_attention": False,
+    }
+
+class SVD_img2vid(supported_models_base.BASE):
+    unet_config = {
+        "model_channels": 320,
+        "in_channels": 8,
+        "use_linear_in_transformer": True,
+        "transformer_depth": [1, 1, 1, 1, 1, 1, 0, 0],
+        "context_dim": 1024,
+        "adm_in_channels": 768,
+        "use_temporal_attention": True,
+        "use_temporal_resblock": True
+    }
+
+    unet_extra_config = {
+        "num_heads": -1,
+        "num_head_channels": 64,
+        "attn_precision": torch.float32,
+    }
+
+    clip_vision_prefix = "conditioner.embedders.0.open_clip.model.visual."
+
+    latent_format = latent_formats.SD15
+
+    sampling_settings = {"sigma_max": 700.0, "sigma_min": 0.002}
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.SVD_img2vid(self, device=device)
+        return out
+
+    def clip_target(self, state_dict={}):
+        return None
+
+class SV3D_u(SVD_img2vid):
+    unet_config = {
+        "model_channels": 320,
+        "in_channels": 8,
+        "use_linear_in_transformer": True,
+        "transformer_depth": [1, 1, 1, 1, 1, 1, 0, 0],
+        "context_dim": 1024,
+        "adm_in_channels": 256,
+        "use_temporal_attention": True,
+        "use_temporal_resblock": True
+    }
+
+    vae_key_prefix = ["conditioner.embedders.1.encoder."]
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.SV3D_u(self, device=device)
+        return out
+
+class SV3D_p(SV3D_u):
+    unet_config = {
+        "model_channels": 320,
+        "in_channels": 8,
+        "use_linear_in_transformer": True,
+        "transformer_depth": [1, 1, 1, 1, 1, 1, 0, 0],
+        "context_dim": 1024,
+        "adm_in_channels": 1280,
+        "use_temporal_attention": True,
+        "use_temporal_resblock": True
+    }
+
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.SV3D_p(self, device=device)
+        return out
+
+class Stable_Zero123(supported_models_base.BASE):
+    unet_config = {
+        "context_dim": 768,
+        "model_channels": 320,
+        "use_linear_in_transformer": False,
+        "adm_in_channels": None,
+        "use_temporal_attention": False,
+        "in_channels": 8,
+    }
+
+    unet_extra_config = {
+        "num_heads": 8,
+        "num_head_channels": -1,
+    }
+
+    required_keys = {
+        "cc_projection.weight": None,
+        "cc_projection.bias": None,
+    }
+
+    clip_vision_prefix = "cond_stage_model.model.visual."
+
+    latent_format = latent_formats.SD15
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.Stable_Zero123(self, device=device, cc_projection_weight=state_dict["cc_projection.weight"], cc_projection_bias=state_dict["cc_projection.bias"])
+        return out
+
+    def clip_target(self, state_dict={}):
+        return None
+
+class SD_X4Upscaler(SD20):
+    unet_config = {
+        "context_dim": 1024,
+        "model_channels": 256,
+        'in_channels': 7,
+        "use_linear_in_transformer": True,
+        "adm_in_channels": None,
+        "use_temporal_attention": False,
+    }
+
+    unet_extra_config = {
+        "disable_self_attentions": [True, True, True, False],
+        "num_classes": 1000,
+        "num_heads": 8,
+        "num_head_channels": -1,
+    }
+
+    latent_format = latent_formats.SD_X4
+
+    sampling_settings = {
+        "linear_start": 0.0001,
+        "linear_end": 0.02,
+    }
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.SD_X4Upscaler(self, device=device)
+        return out
+
+class Stable_Cascade_C(supported_models_base.BASE):
+    unet_config = {
+        "stable_cascade_stage": 'c',
+    }
+
+    unet_extra_config = {}
+
+    latent_format = latent_formats.SC_Prior
+    supported_inference_dtypes = [torch.bfloat16, torch.float32]
+
+    sampling_settings = {
+        "shift": 2.0,
+    }
+
+    vae_key_prefix = ["vae."]
+    text_encoder_key_prefix = ["text_encoder."]
+    clip_vision_prefix = "clip_l_vision."
+
+    def process_unet_state_dict(self, state_dict):
+        key_list = list(state_dict.keys())
+        for y in ["weight", "bias"]:
+            suffix = "in_proj_{}".format(y)
+            keys = filter(lambda a: a.endswith(suffix), key_list)
+            for k_from in keys:
+                weights = state_dict.pop(k_from)
+                prefix = k_from[:-(len(suffix) + 1)]
+                shape_from = weights.shape[0] // 3
+                for x in range(3):
+                    p = ["to_q", "to_k", "to_v"]
+                    k_to = "{}.{}.{}".format(prefix, p[x], y)
+                    state_dict[k_to] = weights[shape_from*x:shape_from*(x + 1)]
+        return state_dict
+
+    def process_clip_state_dict(self, state_dict):
+        state_dict = utils.state_dict_prefix_replace(state_dict, {k: "" for k in self.text_encoder_key_prefix}, filter_keys=True)
+        if "clip_g.text_projection" in state_dict:
+            state_dict["clip_g.transformer.text_projection.weight"] = state_dict.pop("clip_g.text_projection").transpose(0, 1)
+        return state_dict
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.StableCascade_C(self, device=device)
+        return out
+
+    def clip_target(self, state_dict={}):
+        return supported_models_base.ClipTarget(sdxl_clip.StableCascadeTokenizer, sdxl_clip.StableCascadeClipModel)
+
+class Stable_Cascade_B(Stable_Cascade_C):
+    unet_config = {
+        "stable_cascade_stage": 'b',
+    }
+
+    unet_extra_config = {}
+
+    latent_format = latent_formats.SC_B
+    supported_inference_dtypes = [torch.float16, torch.bfloat16, torch.float32]
+
+    sampling_settings = {
+        "shift": 1.0,
+    }
+
+    clip_vision_prefix = None
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.StableCascade_B(self, device=device)
+        return out
+
+class SD15_instructpix2pix(SD15):
+    unet_config = {
+        "context_dim": 768,
+        "model_channels": 320,
+        "use_linear_in_transformer": False,
+        "adm_in_channels": None,
+        "use_temporal_attention": False,
+        "in_channels": 8,
+    }
+
+    def get_model(self, state_dict, prefix="", device=None):
+        return model_base.SD15_instructpix2pix(self, device=device)
+
+class SDXL_instructpix2pix(SDXL):
+    unet_config = {
+        "model_channels": 320,
+        "use_linear_in_transformer": True,
+        "transformer_depth": [0, 0, 2, 2, 10, 10],
+        "context_dim": 2048,
+        "adm_in_channels": 2816,
+        "use_temporal_attention": False,
+        "in_channels": 8,
+    }
+
+    def get_model(self, state_dict, prefix="", device=None):
+        return model_base.SDXL_instructpix2pix(self, model_type=self.model_type(state_dict, prefix), device=device)
+
+class SD3(supported_models_base.BASE):
+    unet_config = {
+        "in_channels": 16,
+        "pos_embed_scaling_factor": None,
+    }
+
+    sampling_settings = {
+        "shift": 3.0,
+    }
+
+    unet_extra_config = {}
+    latent_format = latent_formats.SD3
+
+    memory_usage_factor = 1.2
+
+    text_encoder_key_prefix = ["text_encoders."]
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.SD3(self, device=device)
+        return out
+
+    def clip_target(self, state_dict={}):
+        clip_l = False
+        clip_g = False
+        t5 = False
+        dtype_t5 = None
+        pref = self.text_encoder_key_prefix[0]
+        if "{}clip_l.transformer.text_model.final_layer_norm.weight".format(pref) in state_dict:
+            clip_l = True
+        if "{}clip_g.transformer.text_model.final_layer_norm.weight".format(pref) in state_dict:
+            clip_g = True
+        t5_key = "{}t5xxl.transformer.encoder.final_layer_norm.weight".format(pref)
+        if t5_key in state_dict:
+            t5 = True
+            dtype_t5 = state_dict[t5_key].dtype
+
+        return supported_models_base.ClipTarget(comfy.text_encoders.sd3_clip.SD3Tokenizer, comfy.text_encoders.sd3_clip.sd3_clip(clip_l=clip_l, clip_g=clip_g, t5=t5, dtype_t5=dtype_t5))
+
+class StableAudio(supported_models_base.BASE):
+    unet_config = {
+        "audio_model": "dit1.0",
+    }
+
+    sampling_settings = {"sigma_max": 500.0, "sigma_min": 0.03}
+
+    unet_extra_config = {}
+    latent_format = latent_formats.StableAudio1
+
+    text_encoder_key_prefix = ["text_encoders."]
+    vae_key_prefix = ["pretransform.model."]
+
+    def get_model(self, state_dict, prefix="", device=None):
+        seconds_start_sd = utils.state_dict_prefix_replace(state_dict, {"conditioner.conditioners.seconds_start.": ""}, filter_keys=True)
+        seconds_total_sd = utils.state_dict_prefix_replace(state_dict, {"conditioner.conditioners.seconds_total.": ""}, filter_keys=True)
+        return model_base.StableAudio1(self, seconds_start_embedder_weights=seconds_start_sd, seconds_total_embedder_weights=seconds_total_sd, device=device)
+
+    def process_unet_state_dict(self, state_dict):
+        for k in list(state_dict.keys()):
+            if k.endswith(".cross_attend_norm.beta") or k.endswith(".ff_norm.beta") or k.endswith(".pre_norm.beta"): #These weights are all zero
+                state_dict.pop(k)
+        return state_dict
+
+    def process_unet_state_dict_for_saving(self, state_dict):
+        replace_prefix = {"": "model.model."}
+        return utils.state_dict_prefix_replace(state_dict, replace_prefix)
+
+    def clip_target(self, state_dict={}):
+        return supported_models_base.ClipTarget(comfy.text_encoders.sa_t5.SAT5Tokenizer, comfy.text_encoders.sa_t5.SAT5Model)
+
+class AuraFlow(supported_models_base.BASE):
+    unet_config = {
+        "cond_seq_dim": 2048,
+    }
+
+    sampling_settings = {
+        "multiplier": 1.0,
+        "shift": 1.73,
+    }
+
+    unet_extra_config = {}
+    latent_format = latent_formats.SDXL
+
+    vae_key_prefix = ["vae."]
+    text_encoder_key_prefix = ["text_encoders."]
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.AuraFlow(self, device=device)
+        return out
+
+    def clip_target(self, state_dict={}):
+        return supported_models_base.ClipTarget(comfy.text_encoders.aura_t5.AuraT5Tokenizer, comfy.text_encoders.aura_t5.AuraT5Model)
+
+class HunyuanDiT(supported_models_base.BASE):
+    unet_config = {
+        "image_model": "hydit",
+    }
+
+    unet_extra_config = {
+        "attn_precision": torch.float32,
+    }
+
+    sampling_settings = {
+        "linear_start": 0.00085,
+        "linear_end": 0.018,
+    }
+
+    latent_format = latent_formats.SDXL
+
+    vae_key_prefix = ["vae."]
+    text_encoder_key_prefix = ["text_encoders."]
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.HunyuanDiT(self, device=device)
+        return out
+
+    def clip_target(self, state_dict={}):
+        return supported_models_base.ClipTarget(comfy.text_encoders.hydit.HyditTokenizer, comfy.text_encoders.hydit.HyditModel)
+
+class HunyuanDiT1(HunyuanDiT):
+    unet_config = {
+        "image_model": "hydit1",
+    }
+
+    unet_extra_config = {}
+
+    sampling_settings = {
+        "linear_start" : 0.00085,
+        "linear_end" : 0.03,
+    }
+
+class Flux(supported_models_base.BASE):
+    unet_config = {
+        "image_model": "flux",
+        "guidance_embed": True,
+    }
+
+    sampling_settings = {
+    }
+
+    unet_extra_config = {}
+    latent_format = latent_formats.Flux
+
+    memory_usage_factor = 2.8
+
+    supported_inference_dtypes = [torch.bfloat16, torch.float16, torch.float32]
+
+    vae_key_prefix = ["vae."]
+    text_encoder_key_prefix = ["text_encoders."]
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.Flux(self, device=device)
+        return out
+
+    def clip_target(self, state_dict={}):
+        pref = self.text_encoder_key_prefix[0]
+        t5_key = "{}t5xxl.transformer.encoder.final_layer_norm.weight".format(pref)
+        dtype_t5 = None
+        if t5_key in state_dict:
+            dtype_t5 = state_dict[t5_key].dtype
+        return supported_models_base.ClipTarget(comfy.text_encoders.flux.FluxTokenizer, comfy.text_encoders.flux.flux_clip(dtype_t5=dtype_t5))
+
+class FluxSchnell(Flux):
+    unet_config = {
+        "image_model": "flux",
+        "guidance_embed": False,
+    }
+
+    sampling_settings = {
+        "multiplier": 1.0,
+        "shift": 1.0,
+    }
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.Flux(self, model_type=model_base.ModelType.FLOW, device=device)
+        return out
+
+
+models = [Stable_Zero123, SD15_instructpix2pix, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXL_instructpix2pix, SDXLRefiner, SDXL, SSD1B, KOALA_700M, KOALA_1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B, SV3D_u, SV3D_p, SD3, StableAudio, AuraFlow, HunyuanDiT, HunyuanDiT1, Flux, FluxSchnell]
+
+models += [SVD_img2vid]
diff --git a/ComfyUI/comfy/supported_models_base.py b/ComfyUI/comfy/supported_models_base.py
new file mode 100644
index 0000000000000000000000000000000000000000..7a2152f915dc6a442b931da5b45e30e83c98be7b
--- /dev/null
+++ b/ComfyUI/comfy/supported_models_base.py
@@ -0,0 +1,116 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Comfy
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import torch
+from . import model_base
+from . import utils
+from . import latent_formats
+
+class ClipTarget:
+    def __init__(self, tokenizer, clip):
+        self.clip = clip
+        self.tokenizer = tokenizer
+        self.params = {}
+
+class BASE:
+    unet_config = {}
+    unet_extra_config = {
+        "num_heads": -1,
+        "num_head_channels": 64,
+    }
+
+    required_keys = {}
+
+    clip_prefix = []
+    clip_vision_prefix = None
+    noise_aug_config = None
+    sampling_settings = {}
+    latent_format = latent_formats.LatentFormat
+    vae_key_prefix = ["first_stage_model."]
+    text_encoder_key_prefix = ["cond_stage_model."]
+    supported_inference_dtypes = [torch.float16, torch.bfloat16, torch.float32]
+
+    memory_usage_factor = 2.0
+
+    manual_cast_dtype = None
+    custom_operations = None
+
+    @classmethod
+    def matches(s, unet_config, state_dict=None):
+        for k in s.unet_config:
+            if k not in unet_config or s.unet_config[k] != unet_config[k]:
+                return False
+        if state_dict is not None:
+            for k in s.required_keys:
+                if k not in state_dict:
+                    return False
+        return True
+
+    def model_type(self, state_dict, prefix=""):
+        return model_base.ModelType.EPS
+
+    def inpaint_model(self):
+        return self.unet_config["in_channels"] > 4
+
+    def __init__(self, unet_config):
+        self.unet_config = unet_config.copy()
+        self.sampling_settings = self.sampling_settings.copy()
+        self.latent_format = self.latent_format()
+        for x in self.unet_extra_config:
+            self.unet_config[x] = self.unet_extra_config[x]
+
+    def get_model(self, state_dict, prefix="", device=None):
+        if self.noise_aug_config is not None:
+            out = model_base.SD21UNCLIP(self, self.noise_aug_config, model_type=self.model_type(state_dict, prefix), device=device)
+        else:
+            out = model_base.BaseModel(self, model_type=self.model_type(state_dict, prefix), device=device)
+        if self.inpaint_model():
+            out.set_inpaint()
+        return out
+
+    def process_clip_state_dict(self, state_dict):
+        state_dict = utils.state_dict_prefix_replace(state_dict, {k: "" for k in self.text_encoder_key_prefix}, filter_keys=True)
+        return state_dict
+
+    def process_unet_state_dict(self, state_dict):
+        return state_dict
+
+    def process_vae_state_dict(self, state_dict):
+        return state_dict
+
+    def process_clip_state_dict_for_saving(self, state_dict):
+        replace_prefix = {"": self.text_encoder_key_prefix[0]}
+        return utils.state_dict_prefix_replace(state_dict, replace_prefix)
+
+    def process_clip_vision_state_dict_for_saving(self, state_dict):
+        replace_prefix = {}
+        if self.clip_vision_prefix is not None:
+            replace_prefix[""] = self.clip_vision_prefix
+        return utils.state_dict_prefix_replace(state_dict, replace_prefix)
+
+    def process_unet_state_dict_for_saving(self, state_dict):
+        replace_prefix = {"": "model.diffusion_model."}
+        return utils.state_dict_prefix_replace(state_dict, replace_prefix)
+
+    def process_vae_state_dict_for_saving(self, state_dict):
+        replace_prefix = {"": self.vae_key_prefix[0]}
+        return utils.state_dict_prefix_replace(state_dict, replace_prefix)
+
+    def set_inference_dtype(self, dtype, manual_cast_dtype):
+        self.unet_config['dtype'] = dtype
+        self.manual_cast_dtype = manual_cast_dtype
diff --git a/ComfyUI/comfy/t2i_adapter/__pycache__/adapter.cpython-310.pyc b/ComfyUI/comfy/t2i_adapter/__pycache__/adapter.cpython-310.pyc
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diff --git a/ComfyUI/comfy/t2i_adapter/adapter.py b/ComfyUI/comfy/t2i_adapter/adapter.py
new file mode 100644
index 0000000000000000000000000000000000000000..10ea18e326693f237b3b219970c86e3808f6d334
--- /dev/null
+++ b/ComfyUI/comfy/t2i_adapter/adapter.py
@@ -0,0 +1,299 @@
+#taken from https://github.com/TencentARC/T2I-Adapter
+import torch
+import torch.nn as nn
+from collections import OrderedDict
+
+
+def conv_nd(dims, *args, **kwargs):
+    """
+    Create a 1D, 2D, or 3D convolution module.
+    """
+    if dims == 1:
+        return nn.Conv1d(*args, **kwargs)
+    elif dims == 2:
+        return nn.Conv2d(*args, **kwargs)
+    elif dims == 3:
+        return nn.Conv3d(*args, **kwargs)
+    raise ValueError(f"unsupported dimensions: {dims}")
+
+
+def avg_pool_nd(dims, *args, **kwargs):
+    """
+    Create a 1D, 2D, or 3D average pooling module.
+    """
+    if dims == 1:
+        return nn.AvgPool1d(*args, **kwargs)
+    elif dims == 2:
+        return nn.AvgPool2d(*args, **kwargs)
+    elif dims == 3:
+        return nn.AvgPool3d(*args, **kwargs)
+    raise ValueError(f"unsupported dimensions: {dims}")
+
+
+class Downsample(nn.Module):
+    """
+    A downsampling layer with an optional convolution.
+    :param channels: channels in the inputs and outputs.
+    :param use_conv: a bool determining if a convolution is applied.
+    :param dims: determines if the signal is 1D, 2D, or 3D. If 3D, then
+                 downsampling occurs in the inner-two dimensions.
+    """
+
+    def __init__(self, channels, use_conv, dims=2, out_channels=None, padding=1):
+        super().__init__()
+        self.channels = channels
+        self.out_channels = out_channels or channels
+        self.use_conv = use_conv
+        self.dims = dims
+        stride = 2 if dims != 3 else (1, 2, 2)
+        if use_conv:
+            self.op = conv_nd(
+                dims, self.channels, self.out_channels, 3, stride=stride, padding=padding
+            )
+        else:
+            assert self.channels == self.out_channels
+            self.op = avg_pool_nd(dims, kernel_size=stride, stride=stride)
+
+    def forward(self, x):
+        assert x.shape[1] == self.channels
+        if not self.use_conv:
+            padding = [x.shape[2] % 2, x.shape[3] % 2]
+            self.op.padding = padding
+
+        x = self.op(x)
+        return x
+
+
+class ResnetBlock(nn.Module):
+    def __init__(self, in_c, out_c, down, ksize=3, sk=False, use_conv=True):
+        super().__init__()
+        ps = ksize // 2
+        if in_c != out_c or sk == False:
+            self.in_conv = nn.Conv2d(in_c, out_c, ksize, 1, ps)
+        else:
+            # print('n_in')
+            self.in_conv = None
+        self.block1 = nn.Conv2d(out_c, out_c, 3, 1, 1)
+        self.act = nn.ReLU()
+        self.block2 = nn.Conv2d(out_c, out_c, ksize, 1, ps)
+        if sk == False:
+            self.skep = nn.Conv2d(in_c, out_c, ksize, 1, ps)
+        else:
+            self.skep = None
+
+        self.down = down
+        if self.down == True:
+            self.down_opt = Downsample(in_c, use_conv=use_conv)
+
+    def forward(self, x):
+        if self.down == True:
+            x = self.down_opt(x)
+        if self.in_conv is not None:  # edit
+            x = self.in_conv(x)
+
+        h = self.block1(x)
+        h = self.act(h)
+        h = self.block2(h)
+        if self.skep is not None:
+            return h + self.skep(x)
+        else:
+            return h + x
+
+
+class Adapter(nn.Module):
+    def __init__(self, channels=[320, 640, 1280, 1280], nums_rb=3, cin=64, ksize=3, sk=False, use_conv=True, xl=True):
+        super(Adapter, self).__init__()
+        self.unshuffle_amount = 8
+        resblock_no_downsample = []
+        resblock_downsample = [3, 2, 1]
+        self.xl = xl
+        if self.xl:
+            self.unshuffle_amount = 16
+            resblock_no_downsample = [1]
+            resblock_downsample = [2]
+
+        self.input_channels = cin // (self.unshuffle_amount * self.unshuffle_amount)
+        self.unshuffle = nn.PixelUnshuffle(self.unshuffle_amount)
+        self.channels = channels
+        self.nums_rb = nums_rb
+        self.body = []
+        for i in range(len(channels)):
+            for j in range(nums_rb):
+                if (i in resblock_downsample) and (j == 0):
+                    self.body.append(
+                        ResnetBlock(channels[i - 1], channels[i], down=True, ksize=ksize, sk=sk, use_conv=use_conv))
+                elif (i in resblock_no_downsample) and (j == 0):
+                    self.body.append(
+                        ResnetBlock(channels[i - 1], channels[i], down=False, ksize=ksize, sk=sk, use_conv=use_conv))
+                else:
+                    self.body.append(
+                        ResnetBlock(channels[i], channels[i], down=False, ksize=ksize, sk=sk, use_conv=use_conv))
+        self.body = nn.ModuleList(self.body)
+        self.conv_in = nn.Conv2d(cin, channels[0], 3, 1, 1)
+
+    def forward(self, x):
+        # unshuffle
+        x = self.unshuffle(x)
+        # extract features
+        features = []
+        x = self.conv_in(x)
+        for i in range(len(self.channels)):
+            for j in range(self.nums_rb):
+                idx = i * self.nums_rb + j
+                x = self.body[idx](x)
+            if self.xl:
+                features.append(None)
+                if i == 0:
+                    features.append(None)
+                    features.append(None)
+                if i == 2:
+                    features.append(None)
+            else:
+                features.append(None)
+                features.append(None)
+            features.append(x)
+
+        features = features[::-1]
+
+        if self.xl:
+            return {"input": features[1:], "middle": features[:1]}
+        else:
+            return {"input": features}
+
+
+
+class LayerNorm(nn.LayerNorm):
+    """Subclass torch's LayerNorm to handle fp16."""
+
+    def forward(self, x: torch.Tensor):
+        orig_type = x.dtype
+        ret = super().forward(x.type(torch.float32))
+        return ret.type(orig_type)
+
+
+class QuickGELU(nn.Module):
+
+    def forward(self, x: torch.Tensor):
+        return x * torch.sigmoid(1.702 * x)
+
+
+class ResidualAttentionBlock(nn.Module):
+
+    def __init__(self, d_model: int, n_head: int, attn_mask: torch.Tensor = None):
+        super().__init__()
+
+        self.attn = nn.MultiheadAttention(d_model, n_head)
+        self.ln_1 = LayerNorm(d_model)
+        self.mlp = nn.Sequential(
+            OrderedDict([("c_fc", nn.Linear(d_model, d_model * 4)), ("gelu", QuickGELU()),
+                         ("c_proj", nn.Linear(d_model * 4, d_model))]))
+        self.ln_2 = LayerNorm(d_model)
+        self.attn_mask = attn_mask
+
+    def attention(self, x: torch.Tensor):
+        self.attn_mask = self.attn_mask.to(dtype=x.dtype, device=x.device) if self.attn_mask is not None else None
+        return self.attn(x, x, x, need_weights=False, attn_mask=self.attn_mask)[0]
+
+    def forward(self, x: torch.Tensor):
+        x = x + self.attention(self.ln_1(x))
+        x = x + self.mlp(self.ln_2(x))
+        return x
+
+
+class StyleAdapter(nn.Module):
+
+    def __init__(self, width=1024, context_dim=768, num_head=8, n_layes=3, num_token=4):
+        super().__init__()
+
+        scale = width ** -0.5
+        self.transformer_layes = nn.Sequential(*[ResidualAttentionBlock(width, num_head) for _ in range(n_layes)])
+        self.num_token = num_token
+        self.style_embedding = nn.Parameter(torch.randn(1, num_token, width) * scale)
+        self.ln_post = LayerNorm(width)
+        self.ln_pre = LayerNorm(width)
+        self.proj = nn.Parameter(scale * torch.randn(width, context_dim))
+
+    def forward(self, x):
+        # x shape [N, HW+1, C]
+        style_embedding = self.style_embedding + torch.zeros(
+            (x.shape[0], self.num_token, self.style_embedding.shape[-1]), device=x.device)
+        x = torch.cat([x, style_embedding], dim=1)
+        x = self.ln_pre(x)
+        x = x.permute(1, 0, 2)  # NLD -> LND
+        x = self.transformer_layes(x)
+        x = x.permute(1, 0, 2)  # LND -> NLD
+
+        x = self.ln_post(x[:, -self.num_token:, :])
+        x = x @ self.proj
+
+        return x
+
+
+class ResnetBlock_light(nn.Module):
+    def __init__(self, in_c):
+        super().__init__()
+        self.block1 = nn.Conv2d(in_c, in_c, 3, 1, 1)
+        self.act = nn.ReLU()
+        self.block2 = nn.Conv2d(in_c, in_c, 3, 1, 1)
+
+    def forward(self, x):
+        h = self.block1(x)
+        h = self.act(h)
+        h = self.block2(h)
+
+        return h + x
+
+
+class extractor(nn.Module):
+    def __init__(self, in_c, inter_c, out_c, nums_rb, down=False):
+        super().__init__()
+        self.in_conv = nn.Conv2d(in_c, inter_c, 1, 1, 0)
+        self.body = []
+        for _ in range(nums_rb):
+            self.body.append(ResnetBlock_light(inter_c))
+        self.body = nn.Sequential(*self.body)
+        self.out_conv = nn.Conv2d(inter_c, out_c, 1, 1, 0)
+        self.down = down
+        if self.down == True:
+            self.down_opt = Downsample(in_c, use_conv=False)
+
+    def forward(self, x):
+        if self.down == True:
+            x = self.down_opt(x)
+        x = self.in_conv(x)
+        x = self.body(x)
+        x = self.out_conv(x)
+
+        return x
+
+
+class Adapter_light(nn.Module):
+    def __init__(self, channels=[320, 640, 1280, 1280], nums_rb=3, cin=64):
+        super(Adapter_light, self).__init__()
+        self.unshuffle_amount = 8
+        self.unshuffle = nn.PixelUnshuffle(self.unshuffle_amount)
+        self.input_channels = cin // (self.unshuffle_amount * self.unshuffle_amount)
+        self.channels = channels
+        self.nums_rb = nums_rb
+        self.body = []
+        self.xl = False
+
+        for i in range(len(channels)):
+            if i == 0:
+                self.body.append(extractor(in_c=cin, inter_c=channels[i]//4, out_c=channels[i], nums_rb=nums_rb, down=False))
+            else:
+                self.body.append(extractor(in_c=channels[i-1], inter_c=channels[i]//4, out_c=channels[i], nums_rb=nums_rb, down=True))
+        self.body = nn.ModuleList(self.body)
+
+    def forward(self, x):
+        # unshuffle
+        x = self.unshuffle(x)
+        # extract features
+        features = []
+        for i in range(len(self.channels)):
+            x = self.body[i](x)
+            features.append(None)
+            features.append(None)
+            features.append(x)
+
+        return {"input": features[::-1]}
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diff --git a/ComfyUI/comfy/taesd/taesd.py b/ComfyUI/comfy/taesd/taesd.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce36f1a84dae599a35e84a8da3462408c0f0ccc6
--- /dev/null
+++ b/ComfyUI/comfy/taesd/taesd.py
@@ -0,0 +1,79 @@
+#!/usr/bin/env python3
+"""
+Tiny AutoEncoder for Stable Diffusion
+(DNN for encoding / decoding SD's latent space)
+"""
+import torch
+import torch.nn as nn
+
+import comfy.utils
+import comfy.ops
+
+def conv(n_in, n_out, **kwargs):
+    return comfy.ops.disable_weight_init.Conv2d(n_in, n_out, 3, padding=1, **kwargs)
+
+class Clamp(nn.Module):
+    def forward(self, x):
+        return torch.tanh(x / 3) * 3
+
+class Block(nn.Module):
+    def __init__(self, n_in, n_out):
+        super().__init__()
+        self.conv = nn.Sequential(conv(n_in, n_out), nn.ReLU(), conv(n_out, n_out), nn.ReLU(), conv(n_out, n_out))
+        self.skip = comfy.ops.disable_weight_init.Conv2d(n_in, n_out, 1, bias=False) if n_in != n_out else nn.Identity()
+        self.fuse = nn.ReLU()
+    def forward(self, x):
+        return self.fuse(self.conv(x) + self.skip(x))
+
+def Encoder(latent_channels=4):
+    return nn.Sequential(
+        conv(3, 64), Block(64, 64),
+        conv(64, 64, stride=2, bias=False), Block(64, 64), Block(64, 64), Block(64, 64),
+        conv(64, 64, stride=2, bias=False), Block(64, 64), Block(64, 64), Block(64, 64),
+        conv(64, 64, stride=2, bias=False), Block(64, 64), Block(64, 64), Block(64, 64),
+        conv(64, latent_channels),
+    )
+
+
+def Decoder(latent_channels=4):
+    return nn.Sequential(
+        Clamp(), conv(latent_channels, 64), nn.ReLU(),
+        Block(64, 64), Block(64, 64), Block(64, 64), nn.Upsample(scale_factor=2), conv(64, 64, bias=False),
+        Block(64, 64), Block(64, 64), Block(64, 64), nn.Upsample(scale_factor=2), conv(64, 64, bias=False),
+        Block(64, 64), Block(64, 64), Block(64, 64), nn.Upsample(scale_factor=2), conv(64, 64, bias=False),
+        Block(64, 64), conv(64, 3),
+    )
+
+class TAESD(nn.Module):
+    latent_magnitude = 3
+    latent_shift = 0.5
+
+    def __init__(self, encoder_path=None, decoder_path=None, latent_channels=4):
+        """Initialize pretrained TAESD on the given device from the given checkpoints."""
+        super().__init__()
+        self.taesd_encoder = Encoder(latent_channels=latent_channels)
+        self.taesd_decoder = Decoder(latent_channels=latent_channels)
+        self.vae_scale = torch.nn.Parameter(torch.tensor(1.0))
+        self.vae_shift = torch.nn.Parameter(torch.tensor(0.0))
+        if encoder_path is not None:
+            self.taesd_encoder.load_state_dict(comfy.utils.load_torch_file(encoder_path, safe_load=True))
+        if decoder_path is not None:
+            self.taesd_decoder.load_state_dict(comfy.utils.load_torch_file(decoder_path, safe_load=True))
+
+    @staticmethod
+    def scale_latents(x):
+        """raw latents -> [0, 1]"""
+        return x.div(2 * TAESD.latent_magnitude).add(TAESD.latent_shift).clamp(0, 1)
+
+    @staticmethod
+    def unscale_latents(x):
+        """[0, 1] -> raw latents"""
+        return x.sub(TAESD.latent_shift).mul(2 * TAESD.latent_magnitude)
+
+    def decode(self, x):
+        x_sample = self.taesd_decoder((x - self.vae_shift) * self.vae_scale)
+        x_sample = x_sample.sub(0.5).mul(2)
+        return x_sample
+
+    def encode(self, x):
+        return (self.taesd_encoder(x * 0.5 + 0.5) / self.vae_scale) + self.vae_shift
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diff --git a/ComfyUI/comfy/text_encoders/aura_t5.py b/ComfyUI/comfy/text_encoders/aura_t5.py
new file mode 100644
index 0000000000000000000000000000000000000000..e9ad45a7fcb3e31b9e08b36fb58b2f86c2a2084a
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/aura_t5.py
@@ -0,0 +1,22 @@
+from comfy import sd1_clip
+from .spiece_tokenizer import SPieceTokenizer
+import comfy.text_encoders.t5
+import os
+
+class PT5XlModel(sd1_clip.SDClipModel):
+    def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}):
+        textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_pile_config_xl.json")
+        super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 2, "pad": 1}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=True, zero_out_masked=True, model_options=model_options)
+
+class PT5XlTokenizer(sd1_clip.SDTokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        tokenizer_path = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_pile_tokenizer"), "tokenizer.model")
+        super().__init__(tokenizer_path, pad_with_end=False, embedding_size=2048, embedding_key='pile_t5xl', tokenizer_class=SPieceTokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, pad_token=1)
+
+class AuraT5Tokenizer(sd1_clip.SD1Tokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="pile_t5xl", tokenizer=PT5XlTokenizer)
+
+class AuraT5Model(sd1_clip.SD1ClipModel):
+    def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs):
+        super().__init__(device=device, dtype=dtype, model_options=model_options, name="pile_t5xl", clip_model=PT5XlModel, **kwargs)
diff --git a/ComfyUI/comfy/text_encoders/bert.py b/ComfyUI/comfy/text_encoders/bert.py
new file mode 100644
index 0000000000000000000000000000000000000000..fc9bac1d24c088cf17cae4f3af86b8646960f808
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/bert.py
@@ -0,0 +1,140 @@
+import torch
+from comfy.ldm.modules.attention import optimized_attention_for_device
+import comfy.ops
+
+class BertAttention(torch.nn.Module):
+    def __init__(self, embed_dim, heads, dtype, device, operations):
+        super().__init__()
+
+        self.heads = heads
+        self.query = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+        self.key = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+        self.value = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+
+
+    def forward(self, x, mask=None, optimized_attention=None):
+        q = self.query(x)
+        k = self.key(x)
+        v = self.value(x)
+
+        out = optimized_attention(q, k, v, self.heads, mask)
+        return out
+
+class BertOutput(torch.nn.Module):
+    def __init__(self, input_dim, output_dim, layer_norm_eps, dtype, device, operations):
+        super().__init__()
+        self.dense = operations.Linear(input_dim, output_dim, dtype=dtype, device=device)
+        self.LayerNorm = operations.LayerNorm(output_dim, eps=layer_norm_eps, dtype=dtype, device=device)
+        # self.dropout = nn.Dropout(0.0)
+
+    def forward(self, x, y):
+        x = self.dense(x)
+        # hidden_states = self.dropout(hidden_states)
+        x = self.LayerNorm(x + y)
+        return x
+
+class BertAttentionBlock(torch.nn.Module):
+    def __init__(self, embed_dim, heads, layer_norm_eps, dtype, device, operations):
+        super().__init__()
+        self.self = BertAttention(embed_dim, heads, dtype, device, operations)
+        self.output = BertOutput(embed_dim, embed_dim, layer_norm_eps, dtype, device, operations)
+
+    def forward(self, x, mask, optimized_attention):
+        y = self.self(x, mask, optimized_attention)
+        return self.output(y, x)
+
+class BertIntermediate(torch.nn.Module):
+    def __init__(self, embed_dim, intermediate_dim, dtype, device, operations):
+        super().__init__()
+        self.dense = operations.Linear(embed_dim, intermediate_dim, dtype=dtype, device=device)
+
+    def forward(self, x):
+        x = self.dense(x)
+        return torch.nn.functional.gelu(x)
+
+
+class BertBlock(torch.nn.Module):
+    def __init__(self, embed_dim, intermediate_dim, heads, layer_norm_eps, dtype, device, operations):
+        super().__init__()
+        self.attention = BertAttentionBlock(embed_dim, heads, layer_norm_eps, dtype, device, operations)
+        self.intermediate = BertIntermediate(embed_dim, intermediate_dim, dtype, device, operations)
+        self.output = BertOutput(intermediate_dim, embed_dim, layer_norm_eps, dtype, device, operations)
+
+    def forward(self, x, mask, optimized_attention):
+        x = self.attention(x, mask, optimized_attention)
+        y = self.intermediate(x)
+        return self.output(y, x)
+
+class BertEncoder(torch.nn.Module):
+    def __init__(self, num_layers, embed_dim, intermediate_dim, heads, layer_norm_eps, dtype, device, operations):
+        super().__init__()
+        self.layer = torch.nn.ModuleList([BertBlock(embed_dim, intermediate_dim, heads, layer_norm_eps, dtype, device, operations) for i in range(num_layers)])
+
+    def forward(self, x, mask=None, intermediate_output=None):
+        optimized_attention = optimized_attention_for_device(x.device, mask=mask is not None, small_input=True)
+
+        if intermediate_output is not None:
+            if intermediate_output < 0:
+                intermediate_output = len(self.layer) + intermediate_output
+
+        intermediate = None
+        for i, l in enumerate(self.layer):
+            x = l(x, mask, optimized_attention)
+            if i == intermediate_output:
+                intermediate = x.clone()
+        return x, intermediate
+
+class BertEmbeddings(torch.nn.Module):
+    def __init__(self, vocab_size, max_position_embeddings, type_vocab_size, pad_token_id, embed_dim, layer_norm_eps, dtype, device, operations):
+        super().__init__()
+        self.word_embeddings = operations.Embedding(vocab_size, embed_dim, padding_idx=pad_token_id, dtype=dtype, device=device)
+        self.position_embeddings = operations.Embedding(max_position_embeddings, embed_dim, dtype=dtype, device=device)
+        self.token_type_embeddings = operations.Embedding(type_vocab_size, embed_dim, dtype=dtype, device=device)
+
+        self.LayerNorm = operations.LayerNorm(embed_dim, eps=layer_norm_eps, dtype=dtype, device=device)
+
+    def forward(self, input_tokens, token_type_ids=None, dtype=None):
+        x = self.word_embeddings(input_tokens, out_dtype=dtype)
+        x += comfy.ops.cast_to_input(self.position_embeddings.weight[:x.shape[1]], x)
+        if token_type_ids is not None:
+            x += self.token_type_embeddings(token_type_ids, out_dtype=x.dtype)
+        else:
+            x += comfy.ops.cast_to_input(self.token_type_embeddings.weight[0], x)
+        x = self.LayerNorm(x)
+        return x
+
+
+class BertModel_(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        super().__init__()
+        embed_dim = config_dict["hidden_size"]
+        layer_norm_eps = config_dict["layer_norm_eps"]
+
+        self.embeddings = BertEmbeddings(config_dict["vocab_size"], config_dict["max_position_embeddings"], config_dict["type_vocab_size"], config_dict["pad_token_id"], embed_dim, layer_norm_eps, dtype, device, operations)
+        self.encoder = BertEncoder(config_dict["num_hidden_layers"], embed_dim, config_dict["intermediate_size"], config_dict["num_attention_heads"], layer_norm_eps, dtype, device, operations)
+
+    def forward(self, input_tokens, attention_mask=None, intermediate_output=None, final_layer_norm_intermediate=True, dtype=None):
+        x = self.embeddings(input_tokens, dtype=dtype)
+        mask = None
+        if attention_mask is not None:
+            mask = 1.0 - attention_mask.to(x.dtype).reshape((attention_mask.shape[0], 1, -1, attention_mask.shape[-1])).expand(attention_mask.shape[0], 1, attention_mask.shape[-1], attention_mask.shape[-1])
+            mask = mask.masked_fill(mask.to(torch.bool), float("-inf"))
+
+        x, i = self.encoder(x, mask, intermediate_output)
+        return x, i
+
+
+class BertModel(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        super().__init__()
+        self.bert = BertModel_(config_dict, dtype, device, operations)
+        self.num_layers = config_dict["num_hidden_layers"]
+
+    def get_input_embeddings(self):
+        return self.bert.embeddings.word_embeddings
+
+    def set_input_embeddings(self, embeddings):
+        self.bert.embeddings.word_embeddings = embeddings
+
+    def forward(self, *args, **kwargs):
+        return self.bert(*args, **kwargs)
diff --git a/ComfyUI/comfy/text_encoders/flux.py b/ComfyUI/comfy/text_encoders/flux.py
new file mode 100644
index 0000000000000000000000000000000000000000..91d1f249d4e37982f95890215cc5566e4a9e6136
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/flux.py
@@ -0,0 +1,71 @@
+from comfy import sd1_clip
+import comfy.text_encoders.t5
+import comfy.model_management
+from transformers import T5TokenizerFast
+import torch
+import os
+
+class T5XXLModel(sd1_clip.SDClipModel):
+    def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}):
+        textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_config_xxl.json")
+        super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, model_options=model_options)
+
+class T5XXLTokenizer(sd1_clip.SDTokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer")
+        super().__init__(tokenizer_path, pad_with_end=False, embedding_size=4096, embedding_key='t5xxl', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256)
+
+
+class FluxTokenizer:
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        self.clip_l = sd1_clip.SDTokenizer(embedding_directory=embedding_directory)
+        self.t5xxl = T5XXLTokenizer(embedding_directory=embedding_directory)
+
+    def tokenize_with_weights(self, text:str, return_word_ids=False):
+        out = {}
+        out["l"] = self.clip_l.tokenize_with_weights(text, return_word_ids)
+        out["t5xxl"] = self.t5xxl.tokenize_with_weights(text, return_word_ids)
+        return out
+
+    def untokenize(self, token_weight_pair):
+        return self.clip_l.untokenize(token_weight_pair)
+
+    def state_dict(self):
+        return {}
+
+
+class FluxClipModel(torch.nn.Module):
+    def __init__(self, dtype_t5=None, device="cpu", dtype=None, model_options={}):
+        super().__init__()
+        dtype_t5 = comfy.model_management.pick_weight_dtype(dtype_t5, dtype, device)
+        self.clip_l = sd1_clip.SDClipModel(device=device, dtype=dtype, return_projected_pooled=False, model_options=model_options)
+        self.t5xxl = T5XXLModel(device=device, dtype=dtype_t5, model_options=model_options)
+        self.dtypes = set([dtype, dtype_t5])
+
+    def set_clip_options(self, options):
+        self.clip_l.set_clip_options(options)
+        self.t5xxl.set_clip_options(options)
+
+    def reset_clip_options(self):
+        self.clip_l.reset_clip_options()
+        self.t5xxl.reset_clip_options()
+
+    def encode_token_weights(self, token_weight_pairs):
+        token_weight_pairs_l = token_weight_pairs["l"]
+        token_weight_pairs_t5 = token_weight_pairs["t5xxl"]
+
+        t5_out, t5_pooled = self.t5xxl.encode_token_weights(token_weight_pairs_t5)
+        l_out, l_pooled = self.clip_l.encode_token_weights(token_weight_pairs_l)
+        return t5_out, l_pooled
+
+    def load_sd(self, sd):
+        if "text_model.encoder.layers.1.mlp.fc1.weight" in sd:
+            return self.clip_l.load_sd(sd)
+        else:
+            return self.t5xxl.load_sd(sd)
+
+def flux_clip(dtype_t5=None):
+    class FluxClipModel_(FluxClipModel):
+        def __init__(self, device="cpu", dtype=None, model_options={}):
+            super().__init__(dtype_t5=dtype_t5, device=device, dtype=dtype, model_options=model_options)
+    return FluxClipModel_
diff --git a/ComfyUI/comfy/text_encoders/hydit.py b/ComfyUI/comfy/text_encoders/hydit.py
new file mode 100644
index 0000000000000000000000000000000000000000..7cb790f45e2d87dba0ba8e4d74aa0537bcd1068e
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/hydit.py
@@ -0,0 +1,79 @@
+from comfy import sd1_clip
+from transformers import BertTokenizer
+from .spiece_tokenizer import SPieceTokenizer
+from .bert import BertModel
+import comfy.text_encoders.t5
+import os
+import torch
+
+class HyditBertModel(sd1_clip.SDClipModel):
+    def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}):
+        textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "hydit_clip.json")
+        super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"start": 101, "end": 102, "pad": 0}, model_class=BertModel, enable_attention_masks=True, return_attention_masks=True, model_options=model_options)
+
+class HyditBertTokenizer(sd1_clip.SDTokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "hydit_clip_tokenizer")
+        super().__init__(tokenizer_path, pad_with_end=False, embedding_size=1024, embedding_key='chinese_roberta', tokenizer_class=BertTokenizer, pad_to_max_length=False, max_length=512, min_length=77)
+
+
+class MT5XLModel(sd1_clip.SDClipModel):
+    def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}):
+        textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "mt5_config_xl.json")
+        super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=True, return_attention_masks=True, model_options=model_options)
+
+class MT5XLTokenizer(sd1_clip.SDTokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        #tokenizer_path = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "mt5_tokenizer"), "spiece.model")
+        tokenizer = tokenizer_data.get("spiece_model", None)
+        super().__init__(tokenizer, pad_with_end=False, embedding_size=2048, embedding_key='mt5xl', tokenizer_class=SPieceTokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256)
+
+    def state_dict(self):
+        return {"spiece_model": self.tokenizer.serialize_model()}
+
+class HyditTokenizer:
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        mt5_tokenizer_data = tokenizer_data.get("mt5xl.spiece_model", None)
+        self.hydit_clip = HyditBertTokenizer(embedding_directory=embedding_directory)
+        self.mt5xl = MT5XLTokenizer(tokenizer_data={"spiece_model": mt5_tokenizer_data}, embedding_directory=embedding_directory)
+
+    def tokenize_with_weights(self, text:str, return_word_ids=False):
+        out = {}
+        out["hydit_clip"] = self.hydit_clip.tokenize_with_weights(text, return_word_ids)
+        out["mt5xl"] = self.mt5xl.tokenize_with_weights(text, return_word_ids)
+        return out
+
+    def untokenize(self, token_weight_pair):
+        return self.hydit_clip.untokenize(token_weight_pair)
+
+    def state_dict(self):
+        return {"mt5xl.spiece_model": self.mt5xl.state_dict()["spiece_model"]}
+
+class HyditModel(torch.nn.Module):
+    def __init__(self, device="cpu", dtype=None, model_options={}):
+        super().__init__()
+        self.hydit_clip = HyditBertModel(dtype=dtype, model_options=model_options)
+        self.mt5xl = MT5XLModel(dtype=dtype, model_options=model_options)
+
+        self.dtypes = set()
+        if dtype is not None:
+            self.dtypes.add(dtype)
+
+    def encode_token_weights(self, token_weight_pairs):
+        hydit_out = self.hydit_clip.encode_token_weights(token_weight_pairs["hydit_clip"])
+        mt5_out = self.mt5xl.encode_token_weights(token_weight_pairs["mt5xl"])
+        return hydit_out[0], hydit_out[1], {"attention_mask": hydit_out[2]["attention_mask"], "conditioning_mt5xl": mt5_out[0], "attention_mask_mt5xl": mt5_out[2]["attention_mask"]}
+
+    def load_sd(self, sd):
+        if "bert.encoder.layer.0.attention.self.query.weight" in sd:
+            return self.hydit_clip.load_sd(sd)
+        else:
+            return self.mt5xl.load_sd(sd)
+
+    def set_clip_options(self, options):
+        self.hydit_clip.set_clip_options(options)
+        self.mt5xl.set_clip_options(options)
+
+    def reset_clip_options(self):
+        self.hydit_clip.reset_clip_options()
+        self.mt5xl.reset_clip_options()
diff --git a/ComfyUI/comfy/text_encoders/hydit_clip.json b/ComfyUI/comfy/text_encoders/hydit_clip.json
new file mode 100644
index 0000000000000000000000000000000000000000..c41c7c1ff376407f42e3ff20ab26faaa98bb5e65
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/hydit_clip.json
@@ -0,0 +1,35 @@
+{
+  "_name_or_path": "hfl/chinese-roberta-wwm-ext-large",
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.22.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 47020
+}
+
diff --git a/ComfyUI/comfy/text_encoders/hydit_clip_tokenizer/special_tokens_map.json b/ComfyUI/comfy/text_encoders/hydit_clip_tokenizer/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..a8b3208c2884c4efb86e49300fdd3dc877220cdf
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/hydit_clip_tokenizer/special_tokens_map.json
@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}
diff --git a/ComfyUI/comfy/text_encoders/hydit_clip_tokenizer/tokenizer_config.json b/ComfyUI/comfy/text_encoders/hydit_clip_tokenizer/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a14356073e11a885074a7cdbddc749463cefd911
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/hydit_clip_tokenizer/tokenizer_config.json
@@ -0,0 +1,16 @@
+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "name_or_path": "hfl/chinese-roberta-wwm-ext",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": "/home/chenweifeng/.cache/huggingface/hub/models--hfl--chinese-roberta-wwm-ext/snapshots/5c58d0b8ec1d9014354d691c538661bf00bfdb44/special_tokens_map.json",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]",
+  "model_max_length": 77
+}
diff --git a/ComfyUI/comfy/text_encoders/hydit_clip_tokenizer/vocab.txt b/ComfyUI/comfy/text_encoders/hydit_clip_tokenizer/vocab.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6246906805d02aca01714c71e4c8d77b69a7a131
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/hydit_clip_tokenizer/vocab.txt
@@ -0,0 +1,47020 @@
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diff --git a/ComfyUI/comfy/text_encoders/long_clipl.json b/ComfyUI/comfy/text_encoders/long_clipl.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e2056ff37ec907462bac7a557e12bb728a15990
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/long_clipl.json
@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "openai/clip-vit-large-patch14",
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 49407,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 768,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 248,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
+  "vocab_size": 49408
+}
diff --git a/ComfyUI/comfy/text_encoders/long_clipl.py b/ComfyUI/comfy/text_encoders/long_clipl.py
new file mode 100644
index 0000000000000000000000000000000000000000..4677fb3b0f09e3dc8dfa70a936f1b4a1b6fd5bb5
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/long_clipl.py
@@ -0,0 +1,19 @@
+from comfy import sd1_clip
+import os
+
+class LongClipTokenizer_(sd1_clip.SDTokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        super().__init__(max_length=248, embedding_directory=embedding_directory, tokenizer_data=tokenizer_data)
+
+class LongClipModel_(sd1_clip.SDClipModel):
+    def __init__(self, device="cpu", dtype=None, model_options={}):
+        textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "long_clipl.json")
+        super().__init__(device=device, textmodel_json_config=textmodel_json_config, return_projected_pooled=False, dtype=dtype, model_options=model_options)
+
+class LongClipTokenizer(sd1_clip.SD1Tokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, tokenizer=LongClipTokenizer_)
+
+class LongClipModel(sd1_clip.SD1ClipModel):
+    def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs):
+        super().__init__(device=device, dtype=dtype, model_options=model_options, clip_model=LongClipModel_, **kwargs)
diff --git a/ComfyUI/comfy/text_encoders/mt5_config_xl.json b/ComfyUI/comfy/text_encoders/mt5_config_xl.json
new file mode 100644
index 0000000000000000000000000000000000000000..092fefd6e32dac566e443fc03eae53f6a8b57400
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/mt5_config_xl.json
@@ -0,0 +1,22 @@
+{
+  "d_ff": 5120,
+  "d_kv": 64,
+  "d_model": 2048,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "dense_act_fn": "gelu_pytorch_tanh",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "mt5",
+  "num_decoder_layers": 24,
+  "num_heads": 32,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "vocab_size": 250112
+}
diff --git a/ComfyUI/comfy/text_encoders/sa_t5.py b/ComfyUI/comfy/text_encoders/sa_t5.py
new file mode 100644
index 0000000000000000000000000000000000000000..7778ce47ad98ed7baabda3ce29dca76e25c6880f
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/sa_t5.py
@@ -0,0 +1,22 @@
+from comfy import sd1_clip
+from transformers import T5TokenizerFast
+import comfy.text_encoders.t5
+import os
+
+class T5BaseModel(sd1_clip.SDClipModel):
+    def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}):
+        textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_config_base.json")
+        super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, model_options=model_options, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=True, zero_out_masked=True)
+
+class T5BaseTokenizer(sd1_clip.SDTokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer")
+        super().__init__(tokenizer_path, pad_with_end=False, embedding_size=768, embedding_key='t5base', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=128)
+
+class SAT5Tokenizer(sd1_clip.SD1Tokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="t5base", tokenizer=T5BaseTokenizer)
+
+class SAT5Model(sd1_clip.SD1ClipModel):
+    def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs):
+        super().__init__(device=device, dtype=dtype, model_options=model_options, name="t5base", clip_model=T5BaseModel, **kwargs)
diff --git a/ComfyUI/comfy/text_encoders/sd2_clip.py b/ComfyUI/comfy/text_encoders/sd2_clip.py
new file mode 100644
index 0000000000000000000000000000000000000000..31fc89869e6e134b6de260d30443654a6cc4ac83
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/sd2_clip.py
@@ -0,0 +1,23 @@
+from comfy import sd1_clip
+import os
+
+class SD2ClipHModel(sd1_clip.SDClipModel):
+    def __init__(self, arch="ViT-H-14", device="cpu", max_length=77, freeze=True, layer="penultimate", layer_idx=None, dtype=None, model_options={}):
+        if layer == "penultimate":
+            layer="hidden"
+            layer_idx=-2
+
+        textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "sd2_clip_config.json")
+        super().__init__(device=device, freeze=freeze, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"start": 49406, "end": 49407, "pad": 0}, return_projected_pooled=True, model_options=model_options)
+
+class SD2ClipHTokenizer(sd1_clip.SDTokenizer):
+    def __init__(self, tokenizer_path=None, embedding_directory=None, tokenizer_data={}):
+        super().__init__(tokenizer_path, pad_with_end=False, embedding_directory=embedding_directory, embedding_size=1024)
+
+class SD2Tokenizer(sd1_clip.SD1Tokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="h", tokenizer=SD2ClipHTokenizer)
+
+class SD2ClipModel(sd1_clip.SD1ClipModel):
+    def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs):
+        super().__init__(device=device, dtype=dtype, model_options=model_options, clip_name="h", clip_model=SD2ClipHModel, **kwargs)
diff --git a/ComfyUI/comfy/text_encoders/sd2_clip_config.json b/ComfyUI/comfy/text_encoders/sd2_clip_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..00893cfdc9b00f8eb7cf5aaa9c343e7fcd298d82
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/sd2_clip_config.json
@@ -0,0 +1,23 @@
+{
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 49407,
+  "hidden_act": "gelu",
+  "hidden_size": 1024,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "projection_dim": 1024,
+  "torch_dtype": "float32",
+  "vocab_size": 49408
+}
diff --git a/ComfyUI/comfy/text_encoders/sd3_clip.py b/ComfyUI/comfy/text_encoders/sd3_clip.py
new file mode 100644
index 0000000000000000000000000000000000000000..e3832ac24d572a441879de9441c213f41f643e99
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/sd3_clip.py
@@ -0,0 +1,137 @@
+from comfy import sd1_clip
+from comfy import sdxl_clip
+from transformers import T5TokenizerFast
+import comfy.text_encoders.t5
+import torch
+import os
+import comfy.model_management
+import logging
+
+class T5XXLModel(sd1_clip.SDClipModel):
+    def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}):
+        textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_config_xxl.json")
+        super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, model_options=model_options)
+
+class T5XXLTokenizer(sd1_clip.SDTokenizer):
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer")
+        super().__init__(tokenizer_path, embedding_directory=embedding_directory, pad_with_end=False, embedding_size=4096, embedding_key='t5xxl', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=77)
+
+
+class SD3Tokenizer:
+    def __init__(self, embedding_directory=None, tokenizer_data={}):
+        self.clip_l = sd1_clip.SDTokenizer(embedding_directory=embedding_directory)
+        self.clip_g = sdxl_clip.SDXLClipGTokenizer(embedding_directory=embedding_directory)
+        self.t5xxl = T5XXLTokenizer(embedding_directory=embedding_directory)
+
+    def tokenize_with_weights(self, text:str, return_word_ids=False):
+        out = {}
+        out["g"] = self.clip_g.tokenize_with_weights(text, return_word_ids)
+        out["l"] = self.clip_l.tokenize_with_weights(text, return_word_ids)
+        out["t5xxl"] = self.t5xxl.tokenize_with_weights(text, return_word_ids)
+        return out
+
+    def untokenize(self, token_weight_pair):
+        return self.clip_g.untokenize(token_weight_pair)
+
+    def state_dict(self):
+        return {}
+
+class SD3ClipModel(torch.nn.Module):
+    def __init__(self, clip_l=True, clip_g=True, t5=True, dtype_t5=None, device="cpu", dtype=None, model_options={}):
+        super().__init__()
+        self.dtypes = set()
+        if clip_l:
+            self.clip_l = sd1_clip.SDClipModel(layer="hidden", layer_idx=-2, device=device, dtype=dtype, layer_norm_hidden_state=False, return_projected_pooled=False, model_options=model_options)
+            self.dtypes.add(dtype)
+        else:
+            self.clip_l = None
+
+        if clip_g:
+            self.clip_g = sdxl_clip.SDXLClipG(device=device, dtype=dtype, model_options=model_options)
+            self.dtypes.add(dtype)
+        else:
+            self.clip_g = None
+
+        if t5:
+            dtype_t5 = comfy.model_management.pick_weight_dtype(dtype_t5, dtype, device)
+            self.t5xxl = T5XXLModel(device=device, dtype=dtype_t5, model_options=model_options)
+            self.dtypes.add(dtype_t5)
+        else:
+            self.t5xxl = None
+
+        logging.debug("Created SD3 text encoder with: clip_l {}, clip_g {}, t5xxl {}:{}".format(clip_l, clip_g, t5, dtype_t5))
+
+    def set_clip_options(self, options):
+        if self.clip_l is not None:
+            self.clip_l.set_clip_options(options)
+        if self.clip_g is not None:
+            self.clip_g.set_clip_options(options)
+        if self.t5xxl is not None:
+            self.t5xxl.set_clip_options(options)
+
+    def reset_clip_options(self):
+        if self.clip_l is not None:
+            self.clip_l.reset_clip_options()
+        if self.clip_g is not None:
+            self.clip_g.reset_clip_options()
+        if self.t5xxl is not None:
+            self.t5xxl.reset_clip_options()
+
+    def encode_token_weights(self, token_weight_pairs):
+        token_weight_pairs_l = token_weight_pairs["l"]
+        token_weight_pairs_g = token_weight_pairs["g"]
+        token_weight_pairs_t5 = token_weight_pairs["t5xxl"]
+        lg_out = None
+        pooled = None
+        out = None
+
+        if len(token_weight_pairs_g) > 0 or len(token_weight_pairs_l) > 0:
+            if self.clip_l is not None:
+                lg_out, l_pooled = self.clip_l.encode_token_weights(token_weight_pairs_l)
+            else:
+                l_pooled = torch.zeros((1, 768), device=comfy.model_management.intermediate_device())
+
+            if self.clip_g is not None:
+                g_out, g_pooled = self.clip_g.encode_token_weights(token_weight_pairs_g)
+                if lg_out is not None:
+                    lg_out = torch.cat([lg_out, g_out], dim=-1)
+                else:
+                    lg_out = torch.nn.functional.pad(g_out, (768, 0))
+            else:
+                g_out = None
+                g_pooled = torch.zeros((1, 1280), device=comfy.model_management.intermediate_device())
+
+            if lg_out is not None:
+                lg_out = torch.nn.functional.pad(lg_out, (0, 4096 - lg_out.shape[-1]))
+                out = lg_out
+            pooled = torch.cat((l_pooled, g_pooled), dim=-1)
+
+        if self.t5xxl is not None:
+            t5_out, t5_pooled = self.t5xxl.encode_token_weights(token_weight_pairs_t5)
+            if lg_out is not None:
+                out = torch.cat([lg_out, t5_out], dim=-2)
+            else:
+                out = t5_out
+
+        if out is None:
+            out = torch.zeros((1, 77, 4096), device=comfy.model_management.intermediate_device())
+
+        if pooled is None:
+            pooled = torch.zeros((1, 768 + 1280), device=comfy.model_management.intermediate_device())
+
+        return out, pooled
+
+    def load_sd(self, sd):
+        if "text_model.encoder.layers.30.mlp.fc1.weight" in sd:
+            return self.clip_g.load_sd(sd)
+        elif "text_model.encoder.layers.1.mlp.fc1.weight" in sd:
+            return self.clip_l.load_sd(sd)
+        else:
+            return self.t5xxl.load_sd(sd)
+
+def sd3_clip(clip_l=True, clip_g=True, t5=True, dtype_t5=None):
+    class SD3ClipModel_(SD3ClipModel):
+        def __init__(self, device="cpu", dtype=None, model_options={}):
+            super().__init__(clip_l=clip_l, clip_g=clip_g, t5=t5, dtype_t5=dtype_t5, device=device, dtype=dtype, model_options=model_options)
+    return SD3ClipModel_
diff --git a/ComfyUI/comfy/text_encoders/spiece_tokenizer.py b/ComfyUI/comfy/text_encoders/spiece_tokenizer.py
new file mode 100644
index 0000000000000000000000000000000000000000..73739553d47c140ae7b985ed76004a72e6ddbf2b
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/spiece_tokenizer.py
@@ -0,0 +1,32 @@
+import os
+import torch
+
+class SPieceTokenizer:
+    add_eos = True
+
+    @staticmethod
+    def from_pretrained(path):
+        return SPieceTokenizer(path)
+
+    def __init__(self, tokenizer_path):
+        import sentencepiece
+        if torch.is_tensor(tokenizer_path):
+            tokenizer_path = tokenizer_path.numpy().tobytes()
+
+        if isinstance(tokenizer_path, bytes):
+            self.tokenizer = sentencepiece.SentencePieceProcessor(model_proto=tokenizer_path, add_eos=self.add_eos)
+        else:
+            self.tokenizer = sentencepiece.SentencePieceProcessor(model_file=tokenizer_path, add_eos=self.add_eos)
+
+    def get_vocab(self):
+        out = {}
+        for i in range(self.tokenizer.get_piece_size()):
+            out[self.tokenizer.id_to_piece(i)] = i
+        return out
+
+    def __call__(self, string):
+        out = self.tokenizer.encode(string)
+        return {"input_ids": out}
+
+    def serialize_model(self):
+        return torch.ByteTensor(list(self.tokenizer.serialized_model_proto()))
diff --git a/ComfyUI/comfy/text_encoders/t5.py b/ComfyUI/comfy/text_encoders/t5.py
new file mode 100644
index 0000000000000000000000000000000000000000..a1420c6cd2f208c9731d42b09fe077980a952aad
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/t5.py
@@ -0,0 +1,241 @@
+import torch
+import math
+from comfy.ldm.modules.attention import optimized_attention_for_device
+import comfy.ops
+
+class T5LayerNorm(torch.nn.Module):
+    def __init__(self, hidden_size, eps=1e-6, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.weight = torch.nn.Parameter(torch.empty(hidden_size, dtype=dtype, device=device))
+        self.variance_epsilon = eps
+
+    def forward(self, x):
+        variance = x.pow(2).mean(-1, keepdim=True)
+        x = x * torch.rsqrt(variance + self.variance_epsilon)
+        return comfy.ops.cast_to_input(self.weight, x) * x
+
+activations = {
+    "gelu_pytorch_tanh": lambda a: torch.nn.functional.gelu(a, approximate="tanh"),
+    "relu": torch.nn.functional.relu,
+}
+
+class T5DenseActDense(torch.nn.Module):
+    def __init__(self, model_dim, ff_dim, ff_activation, dtype, device, operations):
+        super().__init__()
+        self.wi = operations.Linear(model_dim, ff_dim, bias=False, dtype=dtype, device=device)
+        self.wo = operations.Linear(ff_dim, model_dim, bias=False, dtype=dtype, device=device)
+        # self.dropout = nn.Dropout(config.dropout_rate)
+        self.act = activations[ff_activation]
+
+    def forward(self, x):
+        x = self.act(self.wi(x))
+        # x = self.dropout(x)
+        x = self.wo(x)
+        return x
+
+class T5DenseGatedActDense(torch.nn.Module):
+    def __init__(self, model_dim, ff_dim, ff_activation, dtype, device, operations):
+        super().__init__()
+        self.wi_0 = operations.Linear(model_dim, ff_dim, bias=False, dtype=dtype, device=device)
+        self.wi_1 = operations.Linear(model_dim, ff_dim, bias=False, dtype=dtype, device=device)
+        self.wo = operations.Linear(ff_dim, model_dim, bias=False, dtype=dtype, device=device)
+        # self.dropout = nn.Dropout(config.dropout_rate)
+        self.act = activations[ff_activation]
+
+    def forward(self, x):
+        hidden_gelu = self.act(self.wi_0(x))
+        hidden_linear = self.wi_1(x)
+        x = hidden_gelu * hidden_linear
+        # x = self.dropout(x)
+        x = self.wo(x)
+        return x
+
+class T5LayerFF(torch.nn.Module):
+    def __init__(self, model_dim, ff_dim, ff_activation, gated_act, dtype, device, operations):
+        super().__init__()
+        if gated_act:
+            self.DenseReluDense = T5DenseGatedActDense(model_dim, ff_dim, ff_activation, dtype, device, operations)
+        else:
+            self.DenseReluDense = T5DenseActDense(model_dim, ff_dim, ff_activation, dtype, device, operations)
+
+        self.layer_norm = T5LayerNorm(model_dim, dtype=dtype, device=device, operations=operations)
+        # self.dropout = nn.Dropout(config.dropout_rate)
+
+    def forward(self, x):
+        forwarded_states = self.layer_norm(x)
+        forwarded_states = self.DenseReluDense(forwarded_states)
+        # x = x + self.dropout(forwarded_states)
+        x += forwarded_states
+        return x
+
+class T5Attention(torch.nn.Module):
+    def __init__(self, model_dim, inner_dim, num_heads, relative_attention_bias, dtype, device, operations):
+        super().__init__()
+
+        # Mesh TensorFlow initialization to avoid scaling before softmax
+        self.q = operations.Linear(model_dim, inner_dim, bias=False, dtype=dtype, device=device)
+        self.k = operations.Linear(model_dim, inner_dim, bias=False, dtype=dtype, device=device)
+        self.v = operations.Linear(model_dim, inner_dim, bias=False, dtype=dtype, device=device)
+        self.o = operations.Linear(inner_dim, model_dim, bias=False, dtype=dtype, device=device)
+        self.num_heads = num_heads
+
+        self.relative_attention_bias = None
+        if relative_attention_bias:
+            self.relative_attention_num_buckets = 32
+            self.relative_attention_max_distance = 128
+            self.relative_attention_bias = operations.Embedding(self.relative_attention_num_buckets, self.num_heads, device=device, dtype=dtype)
+
+    @staticmethod
+    def _relative_position_bucket(relative_position, bidirectional=True, num_buckets=32, max_distance=128):
+        """
+        Adapted from Mesh Tensorflow:
+        https://github.com/tensorflow/mesh/blob/0cb87fe07da627bf0b7e60475d59f95ed6b5be3d/mesh_tensorflow/transformer/transformer_layers.py#L593
+
+        Translate relative position to a bucket number for relative attention. The relative position is defined as
+        memory_position - query_position, i.e. the distance in tokens from the attending position to the attended-to
+        position. If bidirectional=False, then positive relative positions are invalid. We use smaller buckets for
+        small absolute relative_position and larger buckets for larger absolute relative_positions. All relative
+        positions >=max_distance map to the same bucket. All relative positions <=-max_distance map to the same bucket.
+        This should allow for more graceful generalization to longer sequences than the model has been trained on
+
+        Args:
+            relative_position: an int32 Tensor
+            bidirectional: a boolean - whether the attention is bidirectional
+            num_buckets: an integer
+            max_distance: an integer
+
+        Returns:
+            a Tensor with the same shape as relative_position, containing int32 values in the range [0, num_buckets)
+        """
+        relative_buckets = 0
+        if bidirectional:
+            num_buckets //= 2
+            relative_buckets += (relative_position > 0).to(torch.long) * num_buckets
+            relative_position = torch.abs(relative_position)
+        else:
+            relative_position = -torch.min(relative_position, torch.zeros_like(relative_position))
+        # now relative_position is in the range [0, inf)
+
+        # half of the buckets are for exact increments in positions
+        max_exact = num_buckets // 2
+        is_small = relative_position < max_exact
+
+        # The other half of the buckets are for logarithmically bigger bins in positions up to max_distance
+        relative_position_if_large = max_exact + (
+            torch.log(relative_position.float() / max_exact)
+            / math.log(max_distance / max_exact)
+            * (num_buckets - max_exact)
+        ).to(torch.long)
+        relative_position_if_large = torch.min(
+            relative_position_if_large, torch.full_like(relative_position_if_large, num_buckets - 1)
+        )
+
+        relative_buckets += torch.where(is_small, relative_position, relative_position_if_large)
+        return relative_buckets
+
+    def compute_bias(self, query_length, key_length, device, dtype):
+        """Compute binned relative position bias"""
+        context_position = torch.arange(query_length, dtype=torch.long, device=device)[:, None]
+        memory_position = torch.arange(key_length, dtype=torch.long, device=device)[None, :]
+        relative_position = memory_position - context_position  # shape (query_length, key_length)
+        relative_position_bucket = self._relative_position_bucket(
+            relative_position,  # shape (query_length, key_length)
+            bidirectional=True,
+            num_buckets=self.relative_attention_num_buckets,
+            max_distance=self.relative_attention_max_distance,
+        )
+        values = self.relative_attention_bias(relative_position_bucket, out_dtype=dtype)  # shape (query_length, key_length, num_heads)
+        values = values.permute([2, 0, 1]).unsqueeze(0)  # shape (1, num_heads, query_length, key_length)
+        return values
+
+    def forward(self, x, mask=None, past_bias=None, optimized_attention=None):
+        q = self.q(x)
+        k = self.k(x)
+        v = self.v(x)
+        if self.relative_attention_bias is not None:
+            past_bias = self.compute_bias(x.shape[1], x.shape[1], x.device, x.dtype)
+
+        if past_bias is not None:
+            if mask is not None:
+                mask = mask + past_bias
+            else:
+                mask = past_bias
+
+        out = optimized_attention(q, k * ((k.shape[-1] / self.num_heads) ** 0.5), v, self.num_heads, mask)
+        return self.o(out), past_bias
+
+class T5LayerSelfAttention(torch.nn.Module):
+    def __init__(self, model_dim, inner_dim, ff_dim, num_heads, relative_attention_bias, dtype, device, operations):
+        super().__init__()
+        self.SelfAttention = T5Attention(model_dim, inner_dim, num_heads, relative_attention_bias, dtype, device, operations)
+        self.layer_norm = T5LayerNorm(model_dim, dtype=dtype, device=device, operations=operations)
+        # self.dropout = nn.Dropout(config.dropout_rate)
+
+    def forward(self, x, mask=None, past_bias=None, optimized_attention=None):
+        normed_hidden_states = self.layer_norm(x)
+        output, past_bias = self.SelfAttention(self.layer_norm(x), mask=mask, past_bias=past_bias, optimized_attention=optimized_attention)
+        # x = x + self.dropout(attention_output)
+        x += output
+        return x, past_bias
+
+class T5Block(torch.nn.Module):
+    def __init__(self, model_dim, inner_dim, ff_dim, ff_activation, gated_act, num_heads, relative_attention_bias, dtype, device, operations):
+        super().__init__()
+        self.layer = torch.nn.ModuleList()
+        self.layer.append(T5LayerSelfAttention(model_dim, inner_dim, ff_dim, num_heads, relative_attention_bias, dtype, device, operations))
+        self.layer.append(T5LayerFF(model_dim, ff_dim, ff_activation, gated_act, dtype, device, operations))
+
+    def forward(self, x, mask=None, past_bias=None, optimized_attention=None):
+        x, past_bias = self.layer[0](x, mask, past_bias, optimized_attention)
+        x = self.layer[-1](x)
+        return x, past_bias
+
+class T5Stack(torch.nn.Module):
+    def __init__(self, num_layers, model_dim, inner_dim, ff_dim, ff_activation, gated_act, num_heads, relative_attention, dtype, device, operations):
+        super().__init__()
+
+        self.block = torch.nn.ModuleList(
+            [T5Block(model_dim, inner_dim, ff_dim, ff_activation, gated_act, num_heads, relative_attention_bias=((not relative_attention) or (i == 0)), dtype=dtype, device=device, operations=operations) for i in range(num_layers)]
+        )
+        self.final_layer_norm = T5LayerNorm(model_dim, dtype=dtype, device=device, operations=operations)
+        # self.dropout = nn.Dropout(config.dropout_rate)
+
+    def forward(self, x, attention_mask=None, intermediate_output=None, final_layer_norm_intermediate=True, dtype=None):
+        mask = None
+        if attention_mask is not None:
+            mask = 1.0 - attention_mask.to(x.dtype).reshape((attention_mask.shape[0], 1, -1, attention_mask.shape[-1])).expand(attention_mask.shape[0], 1, attention_mask.shape[-1], attention_mask.shape[-1])
+            mask = mask.masked_fill(mask.to(torch.bool), float("-inf"))
+
+        intermediate = None
+        optimized_attention = optimized_attention_for_device(x.device, mask=attention_mask is not None, small_input=True)
+        past_bias = None
+        for i, l in enumerate(self.block):
+            x, past_bias = l(x, mask, past_bias, optimized_attention)
+            if i == intermediate_output:
+                intermediate = x.clone()
+        x = self.final_layer_norm(x)
+        if intermediate is not None and final_layer_norm_intermediate:
+            intermediate = self.final_layer_norm(intermediate)
+        return x, intermediate
+
+class T5(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        super().__init__()
+        self.num_layers = config_dict["num_layers"]
+        model_dim = config_dict["d_model"]
+
+        self.encoder = T5Stack(self.num_layers, model_dim, model_dim, config_dict["d_ff"], config_dict["dense_act_fn"], config_dict["is_gated_act"], config_dict["num_heads"], config_dict["model_type"] != "umt5", dtype, device, operations)
+        self.dtype = dtype
+        self.shared = operations.Embedding(config_dict["vocab_size"], model_dim, device=device, dtype=dtype)
+
+    def get_input_embeddings(self):
+        return self.shared
+
+    def set_input_embeddings(self, embeddings):
+        self.shared = embeddings
+
+    def forward(self, input_ids, *args, **kwargs):
+        x = self.shared(input_ids, out_dtype=kwargs.get("dtype", torch.float32))
+        if self.dtype not in [torch.float32, torch.float16, torch.bfloat16]:
+            x = torch.nan_to_num(x) #Fix for fp8 T5 base
+        return self.encoder(x, *args, **kwargs)
diff --git a/ComfyUI/comfy/text_encoders/t5_config_base.json b/ComfyUI/comfy/text_encoders/t5_config_base.json
new file mode 100644
index 0000000000000000000000000000000000000000..71f68327c27280ce150d0c8e92fd61eca0b52a63
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/t5_config_base.json
@@ -0,0 +1,22 @@
+{
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "dense_act_fn": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "vocab_size": 32128
+}
diff --git a/ComfyUI/comfy/text_encoders/t5_config_xxl.json b/ComfyUI/comfy/text_encoders/t5_config_xxl.json
new file mode 100644
index 0000000000000000000000000000000000000000..28283b51a11bed6a874499f82d411c16cc646eb1
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/t5_config_xxl.json
@@ -0,0 +1,22 @@
+{
+  "d_ff": 10240,
+  "d_kv": 64,
+  "d_model": 4096,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "dense_act_fn": "gelu_pytorch_tanh",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 24,
+  "num_heads": 64,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "vocab_size": 32128
+}
diff --git a/ComfyUI/comfy/text_encoders/t5_pile_config_xl.json b/ComfyUI/comfy/text_encoders/t5_pile_config_xl.json
new file mode 100644
index 0000000000000000000000000000000000000000..ee4e03f97a5b3a9927fc676816f210a364ee234b
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/t5_pile_config_xl.json
@@ -0,0 +1,22 @@
+{
+  "d_ff": 5120,
+  "d_kv": 64,
+  "d_model": 2048,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 2,
+  "dense_act_fn": "gelu_pytorch_tanh",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "umt5",
+  "num_decoder_layers": 24,
+  "num_heads": 32,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "vocab_size": 32128
+}
diff --git a/ComfyUI/comfy/text_encoders/t5_pile_tokenizer/tokenizer.model b/ComfyUI/comfy/text_encoders/t5_pile_tokenizer/tokenizer.model
new file mode 100644
index 0000000000000000000000000000000000000000..6c00c742ce03c627d6cd5b795984876fa49fa899
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/t5_pile_tokenizer/tokenizer.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723
diff --git a/ComfyUI/comfy/text_encoders/t5_tokenizer/special_tokens_map.json b/ComfyUI/comfy/text_encoders/t5_tokenizer/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..17ade346a1042cbe0c1436f5bedcbd85c099d582
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/t5_tokenizer/special_tokens_map.json
@@ -0,0 +1,125 @@
+{
+  "additional_special_tokens": [
+    "<extra_id_0>",
+    "<extra_id_1>",
+    "<extra_id_2>",
+    "<extra_id_3>",
+    "<extra_id_4>",
+    "<extra_id_5>",
+    "<extra_id_6>",
+    "<extra_id_7>",
+    "<extra_id_8>",
+    "<extra_id_9>",
+    "<extra_id_10>",
+    "<extra_id_11>",
+    "<extra_id_12>",
+    "<extra_id_13>",
+    "<extra_id_14>",
+    "<extra_id_15>",
+    "<extra_id_16>",
+    "<extra_id_17>",
+    "<extra_id_18>",
+    "<extra_id_19>",
+    "<extra_id_20>",
+    "<extra_id_21>",
+    "<extra_id_22>",
+    "<extra_id_23>",
+    "<extra_id_24>",
+    "<extra_id_25>",
+    "<extra_id_26>",
+    "<extra_id_27>",
+    "<extra_id_28>",
+    "<extra_id_29>",
+    "<extra_id_30>",
+    "<extra_id_31>",
+    "<extra_id_32>",
+    "<extra_id_33>",
+    "<extra_id_34>",
+    "<extra_id_35>",
+    "<extra_id_36>",
+    "<extra_id_37>",
+    "<extra_id_38>",
+    "<extra_id_39>",
+    "<extra_id_40>",
+    "<extra_id_41>",
+    "<extra_id_42>",
+    "<extra_id_43>",
+    "<extra_id_44>",
+    "<extra_id_45>",
+    "<extra_id_46>",
+    "<extra_id_47>",
+    "<extra_id_48>",
+    "<extra_id_49>",
+    "<extra_id_50>",
+    "<extra_id_51>",
+    "<extra_id_52>",
+    "<extra_id_53>",
+    "<extra_id_54>",
+    "<extra_id_55>",
+    "<extra_id_56>",
+    "<extra_id_57>",
+    "<extra_id_58>",
+    "<extra_id_59>",
+    "<extra_id_60>",
+    "<extra_id_61>",
+    "<extra_id_62>",
+    "<extra_id_63>",
+    "<extra_id_64>",
+    "<extra_id_65>",
+    "<extra_id_66>",
+    "<extra_id_67>",
+    "<extra_id_68>",
+    "<extra_id_69>",
+    "<extra_id_70>",
+    "<extra_id_71>",
+    "<extra_id_72>",
+    "<extra_id_73>",
+    "<extra_id_74>",
+    "<extra_id_75>",
+    "<extra_id_76>",
+    "<extra_id_77>",
+    "<extra_id_78>",
+    "<extra_id_79>",
+    "<extra_id_80>",
+    "<extra_id_81>",
+    "<extra_id_82>",
+    "<extra_id_83>",
+    "<extra_id_84>",
+    "<extra_id_85>",
+    "<extra_id_86>",
+    "<extra_id_87>",
+    "<extra_id_88>",
+    "<extra_id_89>",
+    "<extra_id_90>",
+    "<extra_id_91>",
+    "<extra_id_92>",
+    "<extra_id_93>",
+    "<extra_id_94>",
+    "<extra_id_95>",
+    "<extra_id_96>",
+    "<extra_id_97>",
+    "<extra_id_98>",
+    "<extra_id_99>"
+  ],
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/ComfyUI/comfy/text_encoders/t5_tokenizer/tokenizer.json b/ComfyUI/comfy/text_encoders/t5_tokenizer/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..b11c92d7184d265f0dc857ec5d676aa81aa16262
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/t5_tokenizer/tokenizer.json
@@ -0,0 +1,129428 @@
+{
+  "version": "1.0",
+  "truncation": null,
+  "padding": null,
+  "added_tokens": [
+    {
+      "id": 0,
+      "content": "<pad>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 1,
+      "content": "</s>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
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+      "content": "<extra_id_99>",
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+      ],
+      [
+        "<extra_id_6>",
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+      ],
+      [
+        "<extra_id_5>",
+        0.0
+      ],
+      [
+        "<extra_id_4>",
+        0.0
+      ],
+      [
+        "<extra_id_3>",
+        0.0
+      ],
+      [
+        "<extra_id_2>",
+        0.0
+      ],
+      [
+        "<extra_id_1>",
+        0.0
+      ],
+      [
+        "<extra_id_0>",
+        0.0
+      ]
+    ],
+    "byte_fallback": false
+  }
+}
\ No newline at end of file
diff --git a/ComfyUI/comfy/text_encoders/t5_tokenizer/tokenizer_config.json b/ComfyUI/comfy/text_encoders/t5_tokenizer/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..02020eb6d20746871e1ea93f14c4475cf9368f98
--- /dev/null
+++ b/ComfyUI/comfy/text_encoders/t5_tokenizer/tokenizer_config.json
@@ -0,0 +1,939 @@
+{
+  "added_tokens_decoder": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32098": {
+      "content": "<extra_id_1>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32099": {
+      "content": "<extra_id_0>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<extra_id_0>",
+    "<extra_id_1>",
+    "<extra_id_2>",
+    "<extra_id_3>",
+    "<extra_id_4>",
+    "<extra_id_5>",
+    "<extra_id_6>",
+    "<extra_id_7>",
+    "<extra_id_8>",
+    "<extra_id_9>",
+    "<extra_id_10>",
+    "<extra_id_11>",
+    "<extra_id_12>",
+    "<extra_id_13>",
+    "<extra_id_14>",
+    "<extra_id_15>",
+    "<extra_id_16>",
+    "<extra_id_17>",
+    "<extra_id_18>",
+    "<extra_id_19>",
+    "<extra_id_20>",
+    "<extra_id_21>",
+    "<extra_id_22>",
+    "<extra_id_23>",
+    "<extra_id_24>",
+    "<extra_id_25>",
+    "<extra_id_26>",
+    "<extra_id_27>",
+    "<extra_id_28>",
+    "<extra_id_29>",
+    "<extra_id_30>",
+    "<extra_id_31>",
+    "<extra_id_32>",
+    "<extra_id_33>",
+    "<extra_id_34>",
+    "<extra_id_35>",
+    "<extra_id_36>",
+    "<extra_id_37>",
+    "<extra_id_38>",
+    "<extra_id_39>",
+    "<extra_id_40>",
+    "<extra_id_41>",
+    "<extra_id_42>",
+    "<extra_id_43>",
+    "<extra_id_44>",
+    "<extra_id_45>",
+    "<extra_id_46>",
+    "<extra_id_47>",
+    "<extra_id_48>",
+    "<extra_id_49>",
+    "<extra_id_50>",
+    "<extra_id_51>",
+    "<extra_id_52>",
+    "<extra_id_53>",
+    "<extra_id_54>",
+    "<extra_id_55>",
+    "<extra_id_56>",
+    "<extra_id_57>",
+    "<extra_id_58>",
+    "<extra_id_59>",
+    "<extra_id_60>",
+    "<extra_id_61>",
+    "<extra_id_62>",
+    "<extra_id_63>",
+    "<extra_id_64>",
+    "<extra_id_65>",
+    "<extra_id_66>",
+    "<extra_id_67>",
+    "<extra_id_68>",
+    "<extra_id_69>",
+    "<extra_id_70>",
+    "<extra_id_71>",
+    "<extra_id_72>",
+    "<extra_id_73>",
+    "<extra_id_74>",
+    "<extra_id_75>",
+    "<extra_id_76>",
+    "<extra_id_77>",
+    "<extra_id_78>",
+    "<extra_id_79>",
+    "<extra_id_80>",
+    "<extra_id_81>",
+    "<extra_id_82>",
+    "<extra_id_83>",
+    "<extra_id_84>",
+    "<extra_id_85>",
+    "<extra_id_86>",
+    "<extra_id_87>",
+    "<extra_id_88>",
+    "<extra_id_89>",
+    "<extra_id_90>",
+    "<extra_id_91>",
+    "<extra_id_92>",
+    "<extra_id_93>",
+    "<extra_id_94>",
+    "<extra_id_95>",
+    "<extra_id_96>",
+    "<extra_id_97>",
+    "<extra_id_98>",
+    "<extra_id_99>"
+  ],
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
+  "extra_ids": 100,
+  "legacy": false,
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/ComfyUI/comfy/types.py b/ComfyUI/comfy/types.py
new file mode 100644
index 0000000000000000000000000000000000000000..70cf4b158e5f969192c0c11d9bd461964aaea5b5
--- /dev/null
+++ b/ComfyUI/comfy/types.py
@@ -0,0 +1,32 @@
+import torch
+from typing import Callable, Protocol, TypedDict, Optional, List
+
+
+class UnetApplyFunction(Protocol):
+    """Function signature protocol on comfy.model_base.BaseModel.apply_model"""
+
+    def __call__(self, x: torch.Tensor, t: torch.Tensor, **kwargs) -> torch.Tensor:
+        pass
+
+
+class UnetApplyConds(TypedDict):
+    """Optional conditions for unet apply function."""
+
+    c_concat: Optional[torch.Tensor]
+    c_crossattn: Optional[torch.Tensor]
+    control: Optional[torch.Tensor]
+    transformer_options: Optional[dict]
+
+
+class UnetParams(TypedDict):
+    # Tensor of shape [B, C, H, W]
+    input: torch.Tensor
+    # Tensor of shape [B]
+    timestep: torch.Tensor
+    c: UnetApplyConds
+    # List of [0, 1], [0], [1], ...
+    # 0 means conditional, 1 means conditional unconditional
+    cond_or_uncond: List[int]
+
+
+UnetWrapperFunction = Callable[[UnetApplyFunction, UnetParams], torch.Tensor]
diff --git a/ComfyUI/comfy/utils.py b/ComfyUI/comfy/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..1bc35df7a4c78cc654e56f32d1f18f9d84ef4a4a
--- /dev/null
+++ b/ComfyUI/comfy/utils.py
@@ -0,0 +1,792 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Comfy
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+
+import torch
+import math
+import struct
+import comfy.checkpoint_pickle
+import safetensors.torch
+import numpy as np
+from PIL import Image
+import logging
+import itertools
+
+def load_torch_file(ckpt, safe_load=False, device=None):
+    if device is None:
+        device = torch.device("cpu")
+    if ckpt.lower().endswith(".safetensors") or ckpt.lower().endswith(".sft"):
+        sd = safetensors.torch.load_file(ckpt, device=device.type)
+    else:
+        if safe_load:
+            if not 'weights_only' in torch.load.__code__.co_varnames:
+                logging.warning("Warning torch.load doesn't support weights_only on this pytorch version, loading unsafely.")
+                safe_load = False
+        if safe_load:
+            pl_sd = torch.load(ckpt, map_location=device, weights_only=True)
+        else:
+            pl_sd = torch.load(ckpt, map_location=device, pickle_module=comfy.checkpoint_pickle)
+        if "global_step" in pl_sd:
+            logging.debug(f"Global Step: {pl_sd['global_step']}")
+        if "state_dict" in pl_sd:
+            sd = pl_sd["state_dict"]
+        else:
+            sd = pl_sd
+    return sd
+
+def save_torch_file(sd, ckpt, metadata=None):
+    if metadata is not None:
+        safetensors.torch.save_file(sd, ckpt, metadata=metadata)
+    else:
+        safetensors.torch.save_file(sd, ckpt)
+
+def calculate_parameters(sd, prefix=""):
+    params = 0
+    for k in sd.keys():
+        if k.startswith(prefix):
+            w = sd[k]
+            params += w.nelement()
+    return params
+
+def weight_dtype(sd, prefix=""):
+    dtypes = {}
+    for k in sd.keys():
+        if k.startswith(prefix):
+            w = sd[k]
+            dtypes[w.dtype] = dtypes.get(w.dtype, 0) + 1
+
+    if len(dtypes) == 0:
+        return None
+
+    return max(dtypes, key=dtypes.get)
+
+def state_dict_key_replace(state_dict, keys_to_replace):
+    for x in keys_to_replace:
+        if x in state_dict:
+            state_dict[keys_to_replace[x]] = state_dict.pop(x)
+    return state_dict
+
+def state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=False):
+    if filter_keys:
+        out = {}
+    else:
+        out = state_dict
+    for rp in replace_prefix:
+        replace = list(map(lambda a: (a, "{}{}".format(replace_prefix[rp], a[len(rp):])), filter(lambda a: a.startswith(rp), state_dict.keys())))
+        for x in replace:
+            w = state_dict.pop(x[0])
+            out[x[1]] = w
+    return out
+
+
+def transformers_convert(sd, prefix_from, prefix_to, number):
+    keys_to_replace = {
+        "{}positional_embedding": "{}embeddings.position_embedding.weight",
+        "{}token_embedding.weight": "{}embeddings.token_embedding.weight",
+        "{}ln_final.weight": "{}final_layer_norm.weight",
+        "{}ln_final.bias": "{}final_layer_norm.bias",
+    }
+
+    for k in keys_to_replace:
+        x = k.format(prefix_from)
+        if x in sd:
+            sd[keys_to_replace[k].format(prefix_to)] = sd.pop(x)
+
+    resblock_to_replace = {
+        "ln_1": "layer_norm1",
+        "ln_2": "layer_norm2",
+        "mlp.c_fc": "mlp.fc1",
+        "mlp.c_proj": "mlp.fc2",
+        "attn.out_proj": "self_attn.out_proj",
+    }
+
+    for resblock in range(number):
+        for x in resblock_to_replace:
+            for y in ["weight", "bias"]:
+                k = "{}transformer.resblocks.{}.{}.{}".format(prefix_from, resblock, x, y)
+                k_to = "{}encoder.layers.{}.{}.{}".format(prefix_to, resblock, resblock_to_replace[x], y)
+                if k in sd:
+                    sd[k_to] = sd.pop(k)
+
+        for y in ["weight", "bias"]:
+            k_from = "{}transformer.resblocks.{}.attn.in_proj_{}".format(prefix_from, resblock, y)
+            if k_from in sd:
+                weights = sd.pop(k_from)
+                shape_from = weights.shape[0] // 3
+                for x in range(3):
+                    p = ["self_attn.q_proj", "self_attn.k_proj", "self_attn.v_proj"]
+                    k_to = "{}encoder.layers.{}.{}.{}".format(prefix_to, resblock, p[x], y)
+                    sd[k_to] = weights[shape_from*x:shape_from*(x + 1)]
+
+    return sd
+
+def clip_text_transformers_convert(sd, prefix_from, prefix_to):
+    sd = transformers_convert(sd, prefix_from, "{}text_model.".format(prefix_to), 32)
+
+    tp = "{}text_projection.weight".format(prefix_from)
+    if tp in sd:
+        sd["{}text_projection.weight".format(prefix_to)] = sd.pop(tp)
+
+    tp = "{}text_projection".format(prefix_from)
+    if tp in sd:
+        sd["{}text_projection.weight".format(prefix_to)] = sd.pop(tp).transpose(0, 1).contiguous()
+    return sd
+
+
+UNET_MAP_ATTENTIONS = {
+    "proj_in.weight",
+    "proj_in.bias",
+    "proj_out.weight",
+    "proj_out.bias",
+    "norm.weight",
+    "norm.bias",
+}
+
+TRANSFORMER_BLOCKS = {
+    "norm1.weight",
+    "norm1.bias",
+    "norm2.weight",
+    "norm2.bias",
+    "norm3.weight",
+    "norm3.bias",
+    "attn1.to_q.weight",
+    "attn1.to_k.weight",
+    "attn1.to_v.weight",
+    "attn1.to_out.0.weight",
+    "attn1.to_out.0.bias",
+    "attn2.to_q.weight",
+    "attn2.to_k.weight",
+    "attn2.to_v.weight",
+    "attn2.to_out.0.weight",
+    "attn2.to_out.0.bias",
+    "ff.net.0.proj.weight",
+    "ff.net.0.proj.bias",
+    "ff.net.2.weight",
+    "ff.net.2.bias",
+}
+
+UNET_MAP_RESNET = {
+    "in_layers.2.weight": "conv1.weight",
+    "in_layers.2.bias": "conv1.bias",
+    "emb_layers.1.weight": "time_emb_proj.weight",
+    "emb_layers.1.bias": "time_emb_proj.bias",
+    "out_layers.3.weight": "conv2.weight",
+    "out_layers.3.bias": "conv2.bias",
+    "skip_connection.weight": "conv_shortcut.weight",
+    "skip_connection.bias": "conv_shortcut.bias",
+    "in_layers.0.weight": "norm1.weight",
+    "in_layers.0.bias": "norm1.bias",
+    "out_layers.0.weight": "norm2.weight",
+    "out_layers.0.bias": "norm2.bias",
+}
+
+UNET_MAP_BASIC = {
+    ("label_emb.0.0.weight", "class_embedding.linear_1.weight"),
+    ("label_emb.0.0.bias", "class_embedding.linear_1.bias"),
+    ("label_emb.0.2.weight", "class_embedding.linear_2.weight"),
+    ("label_emb.0.2.bias", "class_embedding.linear_2.bias"),
+    ("label_emb.0.0.weight", "add_embedding.linear_1.weight"),
+    ("label_emb.0.0.bias", "add_embedding.linear_1.bias"),
+    ("label_emb.0.2.weight", "add_embedding.linear_2.weight"),
+    ("label_emb.0.2.bias", "add_embedding.linear_2.bias"),
+    ("input_blocks.0.0.weight", "conv_in.weight"),
+    ("input_blocks.0.0.bias", "conv_in.bias"),
+    ("out.0.weight", "conv_norm_out.weight"),
+    ("out.0.bias", "conv_norm_out.bias"),
+    ("out.2.weight", "conv_out.weight"),
+    ("out.2.bias", "conv_out.bias"),
+    ("time_embed.0.weight", "time_embedding.linear_1.weight"),
+    ("time_embed.0.bias", "time_embedding.linear_1.bias"),
+    ("time_embed.2.weight", "time_embedding.linear_2.weight"),
+    ("time_embed.2.bias", "time_embedding.linear_2.bias")
+}
+
+def unet_to_diffusers(unet_config):
+    if "num_res_blocks" not in unet_config:
+        return {}
+    num_res_blocks = unet_config["num_res_blocks"]
+    channel_mult = unet_config["channel_mult"]
+    transformer_depth = unet_config["transformer_depth"][:]
+    transformer_depth_output = unet_config["transformer_depth_output"][:]
+    num_blocks = len(channel_mult)
+
+    transformers_mid = unet_config.get("transformer_depth_middle", None)
+
+    diffusers_unet_map = {}
+    for x in range(num_blocks):
+        n = 1 + (num_res_blocks[x] + 1) * x
+        for i in range(num_res_blocks[x]):
+            for b in UNET_MAP_RESNET:
+                diffusers_unet_map["down_blocks.{}.resnets.{}.{}".format(x, i, UNET_MAP_RESNET[b])] = "input_blocks.{}.0.{}".format(n, b)
+            num_transformers = transformer_depth.pop(0)
+            if num_transformers > 0:
+                for b in UNET_MAP_ATTENTIONS:
+                    diffusers_unet_map["down_blocks.{}.attentions.{}.{}".format(x, i, b)] = "input_blocks.{}.1.{}".format(n, b)
+                for t in range(num_transformers):
+                    for b in TRANSFORMER_BLOCKS:
+                        diffusers_unet_map["down_blocks.{}.attentions.{}.transformer_blocks.{}.{}".format(x, i, t, b)] = "input_blocks.{}.1.transformer_blocks.{}.{}".format(n, t, b)
+            n += 1
+        for k in ["weight", "bias"]:
+            diffusers_unet_map["down_blocks.{}.downsamplers.0.conv.{}".format(x, k)] = "input_blocks.{}.0.op.{}".format(n, k)
+
+    i = 0
+    for b in UNET_MAP_ATTENTIONS:
+        diffusers_unet_map["mid_block.attentions.{}.{}".format(i, b)] = "middle_block.1.{}".format(b)
+    for t in range(transformers_mid):
+        for b in TRANSFORMER_BLOCKS:
+            diffusers_unet_map["mid_block.attentions.{}.transformer_blocks.{}.{}".format(i, t, b)] = "middle_block.1.transformer_blocks.{}.{}".format(t, b)
+
+    for i, n in enumerate([0, 2]):
+        for b in UNET_MAP_RESNET:
+            diffusers_unet_map["mid_block.resnets.{}.{}".format(i, UNET_MAP_RESNET[b])] = "middle_block.{}.{}".format(n, b)
+
+    num_res_blocks = list(reversed(num_res_blocks))
+    for x in range(num_blocks):
+        n = (num_res_blocks[x] + 1) * x
+        l = num_res_blocks[x] + 1
+        for i in range(l):
+            c = 0
+            for b in UNET_MAP_RESNET:
+                diffusers_unet_map["up_blocks.{}.resnets.{}.{}".format(x, i, UNET_MAP_RESNET[b])] = "output_blocks.{}.0.{}".format(n, b)
+            c += 1
+            num_transformers = transformer_depth_output.pop()
+            if num_transformers > 0:
+                c += 1
+                for b in UNET_MAP_ATTENTIONS:
+                    diffusers_unet_map["up_blocks.{}.attentions.{}.{}".format(x, i, b)] = "output_blocks.{}.1.{}".format(n, b)
+                for t in range(num_transformers):
+                    for b in TRANSFORMER_BLOCKS:
+                        diffusers_unet_map["up_blocks.{}.attentions.{}.transformer_blocks.{}.{}".format(x, i, t, b)] = "output_blocks.{}.1.transformer_blocks.{}.{}".format(n, t, b)
+            if i == l - 1:
+                for k in ["weight", "bias"]:
+                    diffusers_unet_map["up_blocks.{}.upsamplers.0.conv.{}".format(x, k)] = "output_blocks.{}.{}.conv.{}".format(n, c, k)
+            n += 1
+
+    for k in UNET_MAP_BASIC:
+        diffusers_unet_map[k[1]] = k[0]
+
+    return diffusers_unet_map
+
+def swap_scale_shift(weight):
+    shift, scale = weight.chunk(2, dim=0)
+    new_weight = torch.cat([scale, shift], dim=0)
+    return new_weight
+
+MMDIT_MAP_BASIC = {
+    ("context_embedder.bias", "context_embedder.bias"),
+    ("context_embedder.weight", "context_embedder.weight"),
+    ("t_embedder.mlp.0.bias", "time_text_embed.timestep_embedder.linear_1.bias"),
+    ("t_embedder.mlp.0.weight", "time_text_embed.timestep_embedder.linear_1.weight"),
+    ("t_embedder.mlp.2.bias", "time_text_embed.timestep_embedder.linear_2.bias"),
+    ("t_embedder.mlp.2.weight", "time_text_embed.timestep_embedder.linear_2.weight"),
+    ("x_embedder.proj.bias", "pos_embed.proj.bias"),
+    ("x_embedder.proj.weight", "pos_embed.proj.weight"),
+    ("y_embedder.mlp.0.bias", "time_text_embed.text_embedder.linear_1.bias"),
+    ("y_embedder.mlp.0.weight", "time_text_embed.text_embedder.linear_1.weight"),
+    ("y_embedder.mlp.2.bias", "time_text_embed.text_embedder.linear_2.bias"),
+    ("y_embedder.mlp.2.weight", "time_text_embed.text_embedder.linear_2.weight"),
+    ("pos_embed", "pos_embed.pos_embed"),
+    ("final_layer.adaLN_modulation.1.bias", "norm_out.linear.bias", swap_scale_shift),
+    ("final_layer.adaLN_modulation.1.weight", "norm_out.linear.weight", swap_scale_shift),
+    ("final_layer.linear.bias", "proj_out.bias"),
+    ("final_layer.linear.weight", "proj_out.weight"),
+}
+
+MMDIT_MAP_BLOCK = {
+    ("context_block.adaLN_modulation.1.bias", "norm1_context.linear.bias"),
+    ("context_block.adaLN_modulation.1.weight", "norm1_context.linear.weight"),
+    ("context_block.attn.proj.bias", "attn.to_add_out.bias"),
+    ("context_block.attn.proj.weight", "attn.to_add_out.weight"),
+    ("context_block.mlp.fc1.bias", "ff_context.net.0.proj.bias"),
+    ("context_block.mlp.fc1.weight", "ff_context.net.0.proj.weight"),
+    ("context_block.mlp.fc2.bias", "ff_context.net.2.bias"),
+    ("context_block.mlp.fc2.weight", "ff_context.net.2.weight"),
+    ("x_block.adaLN_modulation.1.bias", "norm1.linear.bias"),
+    ("x_block.adaLN_modulation.1.weight", "norm1.linear.weight"),
+    ("x_block.attn.proj.bias", "attn.to_out.0.bias"),
+    ("x_block.attn.proj.weight", "attn.to_out.0.weight"),
+    ("x_block.mlp.fc1.bias", "ff.net.0.proj.bias"),
+    ("x_block.mlp.fc1.weight", "ff.net.0.proj.weight"),
+    ("x_block.mlp.fc2.bias", "ff.net.2.bias"),
+    ("x_block.mlp.fc2.weight", "ff.net.2.weight"),
+}
+
+def mmdit_to_diffusers(mmdit_config, output_prefix=""):
+    key_map = {}
+
+    depth = mmdit_config.get("depth", 0)
+    num_blocks = mmdit_config.get("num_blocks", depth)
+    for i in range(num_blocks):
+        block_from = "transformer_blocks.{}".format(i)
+        block_to = "{}joint_blocks.{}".format(output_prefix, i)
+
+        offset = depth * 64
+
+        for end in ("weight", "bias"):
+            k = "{}.attn.".format(block_from)
+            qkv = "{}.x_block.attn.qkv.{}".format(block_to, end)
+            key_map["{}to_q.{}".format(k, end)] = (qkv, (0, 0, offset))
+            key_map["{}to_k.{}".format(k, end)] = (qkv, (0, offset, offset))
+            key_map["{}to_v.{}".format(k, end)] = (qkv, (0, offset * 2, offset))
+
+            qkv = "{}.context_block.attn.qkv.{}".format(block_to, end)
+            key_map["{}add_q_proj.{}".format(k, end)] = (qkv, (0, 0, offset))
+            key_map["{}add_k_proj.{}".format(k, end)] = (qkv, (0, offset, offset))
+            key_map["{}add_v_proj.{}".format(k, end)] = (qkv, (0, offset * 2, offset))
+
+        for k in MMDIT_MAP_BLOCK:
+            key_map["{}.{}".format(block_from, k[1])] = "{}.{}".format(block_to, k[0])
+
+    map_basic = MMDIT_MAP_BASIC.copy()
+    map_basic.add(("joint_blocks.{}.context_block.adaLN_modulation.1.bias".format(depth - 1), "transformer_blocks.{}.norm1_context.linear.bias".format(depth - 1), swap_scale_shift))
+    map_basic.add(("joint_blocks.{}.context_block.adaLN_modulation.1.weight".format(depth - 1), "transformer_blocks.{}.norm1_context.linear.weight".format(depth - 1), swap_scale_shift))
+
+    for k in map_basic:
+        if len(k) > 2:
+            key_map[k[1]] = ("{}{}".format(output_prefix, k[0]), None, k[2])
+        else:
+            key_map[k[1]] = "{}{}".format(output_prefix, k[0])
+
+    return key_map
+
+
+def auraflow_to_diffusers(mmdit_config, output_prefix=""):
+    n_double_layers = mmdit_config.get("n_double_layers", 0)
+    n_layers = mmdit_config.get("n_layers", 0)
+
+    key_map = {}
+    for i in range(n_layers):
+        if i < n_double_layers:
+            index = i
+            prefix_from = "joint_transformer_blocks"
+            prefix_to = "{}double_layers".format(output_prefix)
+            block_map = {
+                            "attn.to_q.weight": "attn.w2q.weight",
+                            "attn.to_k.weight": "attn.w2k.weight",
+                            "attn.to_v.weight": "attn.w2v.weight",
+                            "attn.to_out.0.weight": "attn.w2o.weight",
+                            "attn.add_q_proj.weight": "attn.w1q.weight",
+                            "attn.add_k_proj.weight": "attn.w1k.weight",
+                            "attn.add_v_proj.weight": "attn.w1v.weight",
+                            "attn.to_add_out.weight": "attn.w1o.weight",
+                            "ff.linear_1.weight": "mlpX.c_fc1.weight",
+                            "ff.linear_2.weight": "mlpX.c_fc2.weight",
+                            "ff.out_projection.weight": "mlpX.c_proj.weight",
+                            "ff_context.linear_1.weight": "mlpC.c_fc1.weight",
+                            "ff_context.linear_2.weight": "mlpC.c_fc2.weight",
+                            "ff_context.out_projection.weight": "mlpC.c_proj.weight",
+                            "norm1.linear.weight": "modX.1.weight",
+                            "norm1_context.linear.weight": "modC.1.weight",
+                        }
+        else:
+            index = i - n_double_layers
+            prefix_from = "single_transformer_blocks"
+            prefix_to = "{}single_layers".format(output_prefix)
+
+            block_map = {
+                            "attn.to_q.weight": "attn.w1q.weight",
+                            "attn.to_k.weight": "attn.w1k.weight",
+                            "attn.to_v.weight": "attn.w1v.weight",
+                            "attn.to_out.0.weight": "attn.w1o.weight",
+                            "norm1.linear.weight": "modCX.1.weight",
+                            "ff.linear_1.weight": "mlp.c_fc1.weight",
+                            "ff.linear_2.weight": "mlp.c_fc2.weight",
+                            "ff.out_projection.weight": "mlp.c_proj.weight"
+                        }
+
+        for k in block_map:
+            key_map["{}.{}.{}".format(prefix_from, index, k)] = "{}.{}.{}".format(prefix_to, index, block_map[k])
+
+    MAP_BASIC = {
+        ("positional_encoding", "pos_embed.pos_embed"),
+        ("register_tokens", "register_tokens"),
+        ("t_embedder.mlp.0.weight", "time_step_proj.linear_1.weight"),
+        ("t_embedder.mlp.0.bias", "time_step_proj.linear_1.bias"),
+        ("t_embedder.mlp.2.weight", "time_step_proj.linear_2.weight"),
+        ("t_embedder.mlp.2.bias", "time_step_proj.linear_2.bias"),
+        ("cond_seq_linear.weight", "context_embedder.weight"),
+        ("init_x_linear.weight", "pos_embed.proj.weight"),
+        ("init_x_linear.bias", "pos_embed.proj.bias"),
+        ("final_linear.weight", "proj_out.weight"),
+        ("modF.1.weight", "norm_out.linear.weight", swap_scale_shift),
+    }
+
+    for k in MAP_BASIC:
+        if len(k) > 2:
+            key_map[k[1]] = ("{}{}".format(output_prefix, k[0]), None, k[2])
+        else:
+            key_map[k[1]] = "{}{}".format(output_prefix, k[0])
+
+    return key_map
+
+def flux_to_diffusers(mmdit_config, output_prefix=""):
+    n_double_layers = mmdit_config.get("depth", 0)
+    n_single_layers = mmdit_config.get("depth_single_blocks", 0)
+    hidden_size = mmdit_config.get("hidden_size", 0)
+
+    key_map = {}
+    for index in range(n_double_layers):
+        prefix_from = "transformer_blocks.{}".format(index)
+        prefix_to = "{}double_blocks.{}".format(output_prefix, index)
+
+        for end in ("weight", "bias"):
+            k = "{}.attn.".format(prefix_from)
+            qkv = "{}.img_attn.qkv.{}".format(prefix_to, end)
+            key_map["{}to_q.{}".format(k, end)] = (qkv, (0, 0, hidden_size))
+            key_map["{}to_k.{}".format(k, end)] = (qkv, (0, hidden_size, hidden_size))
+            key_map["{}to_v.{}".format(k, end)] = (qkv, (0, hidden_size * 2, hidden_size))
+
+            k = "{}.attn.".format(prefix_from)
+            qkv = "{}.txt_attn.qkv.{}".format(prefix_to, end)
+            key_map["{}add_q_proj.{}".format(k, end)] = (qkv, (0, 0, hidden_size))
+            key_map["{}add_k_proj.{}".format(k, end)] = (qkv, (0, hidden_size, hidden_size))
+            key_map["{}add_v_proj.{}".format(k, end)] = (qkv, (0, hidden_size * 2, hidden_size))
+
+        block_map = {
+                        "attn.to_out.0.weight": "img_attn.proj.weight",
+                        "attn.to_out.0.bias": "img_attn.proj.bias",
+                        "norm1.linear.weight": "img_mod.lin.weight",
+                        "norm1.linear.bias": "img_mod.lin.bias",
+                        "norm1_context.linear.weight": "txt_mod.lin.weight",
+                        "norm1_context.linear.bias": "txt_mod.lin.bias",
+                        "attn.to_add_out.weight": "txt_attn.proj.weight",
+                        "attn.to_add_out.bias": "txt_attn.proj.bias",
+                        "ff.net.0.proj.weight": "img_mlp.0.weight",
+                        "ff.net.0.proj.bias": "img_mlp.0.bias",
+                        "ff.net.2.weight": "img_mlp.2.weight",
+                        "ff.net.2.bias": "img_mlp.2.bias",
+                        "ff_context.net.0.proj.weight": "txt_mlp.0.weight",
+                        "ff_context.net.0.proj.bias": "txt_mlp.0.bias",
+                        "ff_context.net.2.weight": "txt_mlp.2.weight",
+                        "ff_context.net.2.bias": "txt_mlp.2.bias",
+                        "attn.norm_q.weight": "img_attn.norm.query_norm.scale",
+                        "attn.norm_k.weight": "img_attn.norm.key_norm.scale",
+                        "attn.norm_added_q.weight": "txt_attn.norm.query_norm.scale",
+                        "attn.norm_added_k.weight": "txt_attn.norm.key_norm.scale",
+                    }
+
+        for k in block_map:
+            key_map["{}.{}".format(prefix_from, k)] = "{}.{}".format(prefix_to, block_map[k])
+
+    for index in range(n_single_layers):
+        prefix_from = "single_transformer_blocks.{}".format(index)
+        prefix_to = "{}single_blocks.{}".format(output_prefix, index)
+
+        for end in ("weight", "bias"):
+            k = "{}.attn.".format(prefix_from)
+            qkv = "{}.linear1.{}".format(prefix_to, end)
+            key_map["{}to_q.{}".format(k, end)] = (qkv, (0, 0, hidden_size))
+            key_map["{}to_k.{}".format(k, end)] = (qkv, (0, hidden_size, hidden_size))
+            key_map["{}to_v.{}".format(k, end)] = (qkv, (0, hidden_size * 2, hidden_size))
+            key_map["{}.proj_mlp.{}".format(prefix_from, end)] = (qkv, (0, hidden_size * 3, hidden_size * 4))
+
+        block_map = {
+                        "norm.linear.weight": "modulation.lin.weight",
+                        "norm.linear.bias": "modulation.lin.bias",
+                        "proj_out.weight": "linear2.weight",
+                        "proj_out.bias": "linear2.bias",
+                        "attn.norm_q.weight": "norm.query_norm.scale",
+                        "attn.norm_k.weight": "norm.key_norm.scale",
+                    }
+
+        for k in block_map:
+            key_map["{}.{}".format(prefix_from, k)] = "{}.{}".format(prefix_to, block_map[k])
+
+    MAP_BASIC = {
+        ("final_layer.linear.bias", "proj_out.bias"),
+        ("final_layer.linear.weight", "proj_out.weight"),
+        ("img_in.bias", "x_embedder.bias"),
+        ("img_in.weight", "x_embedder.weight"),
+        ("time_in.in_layer.bias", "time_text_embed.timestep_embedder.linear_1.bias"),
+        ("time_in.in_layer.weight", "time_text_embed.timestep_embedder.linear_1.weight"),
+        ("time_in.out_layer.bias", "time_text_embed.timestep_embedder.linear_2.bias"),
+        ("time_in.out_layer.weight", "time_text_embed.timestep_embedder.linear_2.weight"),
+        ("txt_in.bias", "context_embedder.bias"),
+        ("txt_in.weight", "context_embedder.weight"),
+        ("vector_in.in_layer.bias", "time_text_embed.text_embedder.linear_1.bias"),
+        ("vector_in.in_layer.weight", "time_text_embed.text_embedder.linear_1.weight"),
+        ("vector_in.out_layer.bias", "time_text_embed.text_embedder.linear_2.bias"),
+        ("vector_in.out_layer.weight", "time_text_embed.text_embedder.linear_2.weight"),
+        ("guidance_in.in_layer.bias", "time_text_embed.guidance_embedder.linear_1.bias"),
+        ("guidance_in.in_layer.weight", "time_text_embed.guidance_embedder.linear_1.weight"),
+        ("guidance_in.out_layer.bias", "time_text_embed.guidance_embedder.linear_2.bias"),
+        ("guidance_in.out_layer.weight", "time_text_embed.guidance_embedder.linear_2.weight"),
+        ("final_layer.adaLN_modulation.1.bias", "norm_out.linear.bias", swap_scale_shift),
+        ("final_layer.adaLN_modulation.1.weight", "norm_out.linear.weight", swap_scale_shift),
+        ("pos_embed_input.bias", "controlnet_x_embedder.bias"),
+        ("pos_embed_input.weight", "controlnet_x_embedder.weight"),
+    }
+
+    for k in MAP_BASIC:
+        if len(k) > 2:
+            key_map[k[1]] = ("{}{}".format(output_prefix, k[0]), None, k[2])
+        else:
+            key_map[k[1]] = "{}{}".format(output_prefix, k[0])
+
+    return key_map
+
+def repeat_to_batch_size(tensor, batch_size, dim=0):
+    if tensor.shape[dim] > batch_size:
+        return tensor.narrow(dim, 0, batch_size)
+    elif tensor.shape[dim] < batch_size:
+        return tensor.repeat(dim * [1] + [math.ceil(batch_size / tensor.shape[dim])] + [1] * (len(tensor.shape) - 1 - dim)).narrow(dim, 0, batch_size)
+    return tensor
+
+def resize_to_batch_size(tensor, batch_size):
+    in_batch_size = tensor.shape[0]
+    if in_batch_size == batch_size:
+        return tensor
+
+    if batch_size <= 1:
+        return tensor[:batch_size]
+
+    output = torch.empty([batch_size] + list(tensor.shape)[1:], dtype=tensor.dtype, device=tensor.device)
+    if batch_size < in_batch_size:
+        scale = (in_batch_size - 1) / (batch_size - 1)
+        for i in range(batch_size):
+            output[i] = tensor[min(round(i * scale), in_batch_size - 1)]
+    else:
+        scale = in_batch_size / batch_size
+        for i in range(batch_size):
+            output[i] = tensor[min(math.floor((i + 0.5) * scale), in_batch_size - 1)]
+
+    return output
+
+def convert_sd_to(state_dict, dtype):
+    keys = list(state_dict.keys())
+    for k in keys:
+        state_dict[k] = state_dict[k].to(dtype)
+    return state_dict
+
+def safetensors_header(safetensors_path, max_size=100*1024*1024):
+    with open(safetensors_path, "rb") as f:
+        header = f.read(8)
+        length_of_header = struct.unpack('<Q', header)[0]
+        if length_of_header > max_size:
+            return None
+        return f.read(length_of_header)
+
+def set_attr(obj, attr, value):
+    attrs = attr.split(".")
+    for name in attrs[:-1]:
+        obj = getattr(obj, name)
+    prev = getattr(obj, attrs[-1])
+    setattr(obj, attrs[-1], value)
+    return prev
+
+def set_attr_param(obj, attr, value):
+    return set_attr(obj, attr, torch.nn.Parameter(value, requires_grad=False))
+
+def copy_to_param(obj, attr, value):
+    # inplace update tensor instead of replacing it
+    attrs = attr.split(".")
+    for name in attrs[:-1]:
+        obj = getattr(obj, name)
+    prev = getattr(obj, attrs[-1])
+    prev.data.copy_(value)
+
+def get_attr(obj, attr):
+    attrs = attr.split(".")
+    for name in attrs:
+        obj = getattr(obj, name)
+    return obj
+
+def bislerp(samples, width, height):
+    def slerp(b1, b2, r):
+        '''slerps batches b1, b2 according to ratio r, batches should be flat e.g. NxC'''
+        
+        c = b1.shape[-1]
+
+        #norms
+        b1_norms = torch.norm(b1, dim=-1, keepdim=True)
+        b2_norms = torch.norm(b2, dim=-1, keepdim=True)
+
+        #normalize
+        b1_normalized = b1 / b1_norms
+        b2_normalized = b2 / b2_norms
+
+        #zero when norms are zero
+        b1_normalized[b1_norms.expand(-1,c) == 0.0] = 0.0
+        b2_normalized[b2_norms.expand(-1,c) == 0.0] = 0.0
+
+        #slerp
+        dot = (b1_normalized*b2_normalized).sum(1)
+        omega = torch.acos(dot)
+        so = torch.sin(omega)
+
+        #technically not mathematically correct, but more pleasing?
+        res = (torch.sin((1.0-r.squeeze(1))*omega)/so).unsqueeze(1)*b1_normalized + (torch.sin(r.squeeze(1)*omega)/so).unsqueeze(1) * b2_normalized
+        res *= (b1_norms * (1.0-r) + b2_norms * r).expand(-1,c)
+
+        #edge cases for same or polar opposites
+        res[dot > 1 - 1e-5] = b1[dot > 1 - 1e-5] 
+        res[dot < 1e-5 - 1] = (b1 * (1.0-r) + b2 * r)[dot < 1e-5 - 1]
+        return res
+    
+    def generate_bilinear_data(length_old, length_new, device):
+        coords_1 = torch.arange(length_old, dtype=torch.float32, device=device).reshape((1,1,1,-1))
+        coords_1 = torch.nn.functional.interpolate(coords_1, size=(1, length_new), mode="bilinear")
+        ratios = coords_1 - coords_1.floor()
+        coords_1 = coords_1.to(torch.int64)
+        
+        coords_2 = torch.arange(length_old, dtype=torch.float32, device=device).reshape((1,1,1,-1)) + 1
+        coords_2[:,:,:,-1] -= 1
+        coords_2 = torch.nn.functional.interpolate(coords_2, size=(1, length_new), mode="bilinear")
+        coords_2 = coords_2.to(torch.int64)
+        return ratios, coords_1, coords_2
+
+    orig_dtype = samples.dtype
+    samples = samples.float()
+    n,c,h,w = samples.shape
+    h_new, w_new = (height, width)
+    
+    #linear w
+    ratios, coords_1, coords_2 = generate_bilinear_data(w, w_new, samples.device)
+    coords_1 = coords_1.expand((n, c, h, -1))
+    coords_2 = coords_2.expand((n, c, h, -1))
+    ratios = ratios.expand((n, 1, h, -1))
+
+    pass_1 = samples.gather(-1,coords_1).movedim(1, -1).reshape((-1,c))
+    pass_2 = samples.gather(-1,coords_2).movedim(1, -1).reshape((-1,c))
+    ratios = ratios.movedim(1, -1).reshape((-1,1))
+
+    result = slerp(pass_1, pass_2, ratios)
+    result = result.reshape(n, h, w_new, c).movedim(-1, 1)
+
+    #linear h
+    ratios, coords_1, coords_2 = generate_bilinear_data(h, h_new, samples.device)
+    coords_1 = coords_1.reshape((1,1,-1,1)).expand((n, c, -1, w_new))
+    coords_2 = coords_2.reshape((1,1,-1,1)).expand((n, c, -1, w_new))
+    ratios = ratios.reshape((1,1,-1,1)).expand((n, 1, -1, w_new))
+
+    pass_1 = result.gather(-2,coords_1).movedim(1, -1).reshape((-1,c))
+    pass_2 = result.gather(-2,coords_2).movedim(1, -1).reshape((-1,c))
+    ratios = ratios.movedim(1, -1).reshape((-1,1))
+
+    result = slerp(pass_1, pass_2, ratios)
+    result = result.reshape(n, h_new, w_new, c).movedim(-1, 1)
+    return result.to(orig_dtype)
+
+def lanczos(samples, width, height):
+    images = [Image.fromarray(np.clip(255. * image.movedim(0, -1).cpu().numpy(), 0, 255).astype(np.uint8)) for image in samples]
+    images = [image.resize((width, height), resample=Image.Resampling.LANCZOS) for image in images]
+    images = [torch.from_numpy(np.array(image).astype(np.float32) / 255.0).movedim(-1, 0) for image in images]
+    result = torch.stack(images)
+    return result.to(samples.device, samples.dtype)
+
+def common_upscale(samples, width, height, upscale_method, crop):
+        if crop == "center":
+            old_width = samples.shape[3]
+            old_height = samples.shape[2]
+            old_aspect = old_width / old_height
+            new_aspect = width / height
+            x = 0
+            y = 0
+            if old_aspect > new_aspect:
+                x = round((old_width - old_width * (new_aspect / old_aspect)) / 2)
+            elif old_aspect < new_aspect:
+                y = round((old_height - old_height * (old_aspect / new_aspect)) / 2)
+            s = samples[:,:,y:old_height-y,x:old_width-x]
+        else:
+            s = samples
+
+        if upscale_method == "bislerp":
+            return bislerp(s, width, height)
+        elif upscale_method == "lanczos":
+            return lanczos(s, width, height)
+        else:
+            return torch.nn.functional.interpolate(s, size=(height, width), mode=upscale_method)
+
+def get_tiled_scale_steps(width, height, tile_x, tile_y, overlap):
+    return math.ceil((height / (tile_y - overlap))) * math.ceil((width / (tile_x - overlap)))
+
+@torch.inference_mode()
+def tiled_scale_multidim(samples, function, tile=(64, 64), overlap = 8, upscale_amount = 4, out_channels = 3, output_device="cpu", pbar = None):
+    dims = len(tile)
+    output = torch.empty([samples.shape[0], out_channels] + list(map(lambda a: round(a * upscale_amount), samples.shape[2:])), device=output_device)
+
+    for b in range(samples.shape[0]):
+        s = samples[b:b+1]
+        out = torch.zeros([s.shape[0], out_channels] + list(map(lambda a: round(a * upscale_amount), s.shape[2:])), device=output_device)
+        out_div = torch.zeros([s.shape[0], out_channels] + list(map(lambda a: round(a * upscale_amount), s.shape[2:])), device=output_device)
+
+        for it in itertools.product(*map(lambda a: range(0, a[0], a[1] - overlap), zip(s.shape[2:], tile))):
+            s_in = s
+            upscaled = []
+
+            for d in range(dims):
+                pos = max(0, min(s.shape[d + 2] - overlap, it[d]))
+                l = min(tile[d], s.shape[d + 2] - pos)
+                s_in = s_in.narrow(d + 2, pos, l)
+                upscaled.append(round(pos * upscale_amount))
+            ps = function(s_in).to(output_device)
+            mask = torch.ones_like(ps)
+            feather = round(overlap * upscale_amount)
+            for t in range(feather):
+                for d in range(2, dims + 2):
+                    m = mask.narrow(d, t, 1)
+                    m *= ((1.0/feather) * (t + 1))
+                    m = mask.narrow(d, mask.shape[d] -1 -t, 1)
+                    m *= ((1.0/feather) * (t + 1))
+
+            o = out
+            o_d = out_div
+            for d in range(dims):
+                o = o.narrow(d + 2, upscaled[d], mask.shape[d + 2])
+                o_d = o_d.narrow(d + 2, upscaled[d], mask.shape[d + 2])
+
+            o += ps * mask
+            o_d += mask
+
+            if pbar is not None:
+                pbar.update(1)
+
+        output[b:b+1] = out/out_div
+    return output
+
+def tiled_scale(samples, function, tile_x=64, tile_y=64, overlap = 8, upscale_amount = 4, out_channels = 3, output_device="cpu", pbar = None):
+    return tiled_scale_multidim(samples, function, (tile_y, tile_x), overlap, upscale_amount, out_channels, output_device, pbar)
+
+PROGRESS_BAR_ENABLED = True
+def set_progress_bar_enabled(enabled):
+    global PROGRESS_BAR_ENABLED
+    PROGRESS_BAR_ENABLED = enabled
+
+PROGRESS_BAR_HOOK = None
+def set_progress_bar_global_hook(function):
+    global PROGRESS_BAR_HOOK
+    PROGRESS_BAR_HOOK = function
+
+class ProgressBar:
+    def __init__(self, total):
+        global PROGRESS_BAR_HOOK
+        self.total = total
+        self.current = 0
+        self.hook = PROGRESS_BAR_HOOK
+
+    def update_absolute(self, value, total=None, preview=None):
+        if total is not None:
+            self.total = total
+        if value > self.total:
+            value = self.total
+        self.current = value
+        if self.hook is not None:
+            self.hook(self.current, self.total, preview)
+
+    def update(self, value):
+        self.update_absolute(self.current + value)
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diff --git a/ComfyUI/comfy_execution/caching.py b/ComfyUI/comfy_execution/caching.py
new file mode 100644
index 0000000000000000000000000000000000000000..e67914a3fab29a1d9f124a1e1aacf9e2e18ed650
--- /dev/null
+++ b/ComfyUI/comfy_execution/caching.py
@@ -0,0 +1,308 @@
+import itertools
+from typing import Sequence, Mapping
+from comfy_execution.graph import DynamicPrompt
+
+import nodes
+
+from comfy_execution.graph_utils import is_link
+
+class CacheKeySet:
+    def __init__(self, dynprompt, node_ids, is_changed_cache):
+        self.keys = {}
+        self.subcache_keys = {}
+
+    def add_keys(self, node_ids):
+        raise NotImplementedError()
+
+    def all_node_ids(self):
+        return set(self.keys.keys())
+
+    def get_used_keys(self):
+        return self.keys.values()
+
+    def get_used_subcache_keys(self):
+        return self.subcache_keys.values()
+
+    def get_data_key(self, node_id):
+        return self.keys.get(node_id, None)
+
+    def get_subcache_key(self, node_id):
+        return self.subcache_keys.get(node_id, None)
+
+class Unhashable:
+    def __init__(self):
+        self.value = float("NaN")
+
+def to_hashable(obj):
+    # So that we don't infinitely recurse since frozenset and tuples
+    # are Sequences.
+    if isinstance(obj, (int, float, str, bool, type(None))):
+        return obj
+    elif isinstance(obj, Mapping):
+        return frozenset([(to_hashable(k), to_hashable(v)) for k, v in sorted(obj.items())])
+    elif isinstance(obj, Sequence):
+        return frozenset(zip(itertools.count(), [to_hashable(i) for i in obj]))
+    else:
+        # TODO - Support other objects like tensors?
+        return Unhashable()
+
+class CacheKeySetID(CacheKeySet):
+    def __init__(self, dynprompt, node_ids, is_changed_cache):
+        super().__init__(dynprompt, node_ids, is_changed_cache)
+        self.dynprompt = dynprompt
+        self.add_keys(node_ids)
+
+    def add_keys(self, node_ids):
+        for node_id in node_ids:
+            if node_id in self.keys:
+                continue
+            if not self.dynprompt.has_node(node_id):
+                continue
+            node = self.dynprompt.get_node(node_id)
+            self.keys[node_id] = (node_id, node["class_type"])
+            self.subcache_keys[node_id] = (node_id, node["class_type"])
+
+class CacheKeySetInputSignature(CacheKeySet):
+    def __init__(self, dynprompt, node_ids, is_changed_cache):
+        super().__init__(dynprompt, node_ids, is_changed_cache)
+        self.dynprompt = dynprompt
+        self.is_changed_cache = is_changed_cache
+        self.add_keys(node_ids)
+
+    def include_node_id_in_input(self) -> bool:
+        return False
+
+    def add_keys(self, node_ids):
+        for node_id in node_ids:
+            if node_id in self.keys:
+                continue
+            if not self.dynprompt.has_node(node_id):
+                continue
+            node = self.dynprompt.get_node(node_id)
+            self.keys[node_id] = self.get_node_signature(self.dynprompt, node_id)
+            self.subcache_keys[node_id] = (node_id, node["class_type"])
+
+    def get_node_signature(self, dynprompt, node_id):
+        signature = []
+        ancestors, order_mapping = self.get_ordered_ancestry(dynprompt, node_id)
+        signature.append(self.get_immediate_node_signature(dynprompt, node_id, order_mapping))
+        for ancestor_id in ancestors:
+            signature.append(self.get_immediate_node_signature(dynprompt, ancestor_id, order_mapping))
+        return to_hashable(signature)
+
+    def get_immediate_node_signature(self, dynprompt, node_id, ancestor_order_mapping):
+        if not dynprompt.has_node(node_id):
+            # This node doesn't exist -- we can't cache it.
+            return [float("NaN")]
+        node = dynprompt.get_node(node_id)
+        class_type = node["class_type"]
+        class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
+        signature = [class_type, self.is_changed_cache.get(node_id)]
+        if self.include_node_id_in_input() or (hasattr(class_def, "NOT_IDEMPOTENT") and class_def.NOT_IDEMPOTENT):
+            signature.append(node_id)
+        inputs = node["inputs"]
+        for key in sorted(inputs.keys()):
+            if is_link(inputs[key]):
+                (ancestor_id, ancestor_socket) = inputs[key]
+                ancestor_index = ancestor_order_mapping[ancestor_id]
+                signature.append((key,("ANCESTOR", ancestor_index, ancestor_socket)))
+            else:
+                signature.append((key, inputs[key]))
+        return signature
+
+    # This function returns a list of all ancestors of the given node. The order of the list is
+    # deterministic based on which specific inputs the ancestor is connected by.
+    def get_ordered_ancestry(self, dynprompt, node_id):
+        ancestors = []
+        order_mapping = {}
+        self.get_ordered_ancestry_internal(dynprompt, node_id, ancestors, order_mapping)
+        return ancestors, order_mapping
+
+    def get_ordered_ancestry_internal(self, dynprompt, node_id, ancestors, order_mapping):
+        if not dynprompt.has_node(node_id):
+            return
+        inputs = dynprompt.get_node(node_id)["inputs"]
+        input_keys = sorted(inputs.keys())
+        for key in input_keys:
+            if is_link(inputs[key]):
+                ancestor_id = inputs[key][0]
+                if ancestor_id not in order_mapping:
+                    ancestors.append(ancestor_id)
+                    order_mapping[ancestor_id] = len(ancestors) - 1
+                    self.get_ordered_ancestry_internal(dynprompt, ancestor_id, ancestors, order_mapping)
+
+class BasicCache:
+    def __init__(self, key_class):
+        self.key_class = key_class
+        self.initialized = False
+        self.dynprompt: DynamicPrompt
+        self.cache_key_set: CacheKeySet
+        self.cache = {}
+        self.subcaches = {}
+
+    def set_prompt(self, dynprompt, node_ids, is_changed_cache):
+        self.dynprompt = dynprompt
+        self.cache_key_set = self.key_class(dynprompt, node_ids, is_changed_cache)
+        self.is_changed_cache = is_changed_cache
+        self.initialized = True
+
+    def all_node_ids(self):
+        assert self.initialized
+        node_ids = self.cache_key_set.all_node_ids()
+        for subcache in self.subcaches.values():
+            node_ids = node_ids.union(subcache.all_node_ids())
+        return node_ids
+
+    def _clean_cache(self):
+        preserve_keys = set(self.cache_key_set.get_used_keys())
+        to_remove = []
+        for key in self.cache:
+            if key not in preserve_keys:
+                to_remove.append(key)
+        for key in to_remove:
+            del self.cache[key]
+
+    def _clean_subcaches(self):
+        preserve_subcaches = set(self.cache_key_set.get_used_subcache_keys())
+
+        to_remove = []
+        for key in self.subcaches:
+            if key not in preserve_subcaches:
+                to_remove.append(key)
+        for key in to_remove:
+            del self.subcaches[key]
+
+    def clean_unused(self):
+        assert self.initialized
+        self._clean_cache()
+        self._clean_subcaches()
+
+    def _set_immediate(self, node_id, value):
+        assert self.initialized
+        cache_key = self.cache_key_set.get_data_key(node_id)
+        self.cache[cache_key] = value
+
+    def _get_immediate(self, node_id):
+        if not self.initialized:
+            return None
+        cache_key = self.cache_key_set.get_data_key(node_id)
+        if cache_key in self.cache:
+            return self.cache[cache_key]
+        else:
+            return None
+
+    def _ensure_subcache(self, node_id, children_ids):
+        subcache_key = self.cache_key_set.get_subcache_key(node_id)
+        subcache = self.subcaches.get(subcache_key, None)
+        if subcache is None:
+            subcache = BasicCache(self.key_class)
+            self.subcaches[subcache_key] = subcache
+        subcache.set_prompt(self.dynprompt, children_ids, self.is_changed_cache)
+        return subcache
+
+    def _get_subcache(self, node_id):
+        assert self.initialized
+        subcache_key = self.cache_key_set.get_subcache_key(node_id)
+        if subcache_key in self.subcaches:
+            return self.subcaches[subcache_key]
+        else:
+            return None
+
+    def recursive_debug_dump(self):
+        result = []
+        for key in self.cache:
+            result.append({"key": key, "value": self.cache[key]})
+        for key in self.subcaches:
+            result.append({"subcache_key": key, "subcache": self.subcaches[key].recursive_debug_dump()})
+        return result
+
+class HierarchicalCache(BasicCache):
+    def __init__(self, key_class):
+        super().__init__(key_class)
+
+    def _get_cache_for(self, node_id):
+        assert self.dynprompt is not None
+        parent_id = self.dynprompt.get_parent_node_id(node_id)
+        if parent_id is None:
+            return self
+
+        hierarchy = []
+        while parent_id is not None:
+            hierarchy.append(parent_id)
+            parent_id = self.dynprompt.get_parent_node_id(parent_id)
+
+        cache = self
+        for parent_id in reversed(hierarchy):
+            cache = cache._get_subcache(parent_id)
+            if cache is None:
+                return None
+        return cache
+
+    def get(self, node_id):
+        cache = self._get_cache_for(node_id)
+        if cache is None:
+            return None
+        return cache._get_immediate(node_id)
+
+    def set(self, node_id, value):
+        cache = self._get_cache_for(node_id)
+        assert cache is not None
+        cache._set_immediate(node_id, value)
+
+    def ensure_subcache_for(self, node_id, children_ids):
+        cache = self._get_cache_for(node_id)
+        assert cache is not None
+        return cache._ensure_subcache(node_id, children_ids)
+
+class LRUCache(BasicCache):
+    def __init__(self, key_class, max_size=100):
+        super().__init__(key_class)
+        self.max_size = max_size
+        self.min_generation = 0
+        self.generation = 0
+        self.used_generation = {}
+        self.children = {}
+
+    def set_prompt(self, dynprompt, node_ids, is_changed_cache):
+        super().set_prompt(dynprompt, node_ids, is_changed_cache)
+        self.generation += 1
+        for node_id in node_ids:
+            self._mark_used(node_id)
+
+    def clean_unused(self):
+        while len(self.cache) > self.max_size and self.min_generation < self.generation:
+            self.min_generation += 1
+            to_remove = [key for key in self.cache if self.used_generation[key] < self.min_generation]
+            for key in to_remove:
+                del self.cache[key]
+                del self.used_generation[key]
+                if key in self.children:
+                    del self.children[key]
+        self._clean_subcaches()
+
+    def get(self, node_id):
+        self._mark_used(node_id)
+        return self._get_immediate(node_id)
+
+    def _mark_used(self, node_id):
+        cache_key = self.cache_key_set.get_data_key(node_id)
+        if cache_key is not None:
+            self.used_generation[cache_key] = self.generation
+
+    def set(self, node_id, value):
+        self._mark_used(node_id)
+        return self._set_immediate(node_id, value)
+
+    def ensure_subcache_for(self, node_id, children_ids):
+        # Just uses subcaches for tracking 'live' nodes
+        super()._ensure_subcache(node_id, children_ids)
+
+        self.cache_key_set.add_keys(children_ids)
+        self._mark_used(node_id)
+        cache_key = self.cache_key_set.get_data_key(node_id)
+        self.children[cache_key] = []
+        for child_id in children_ids:
+            self._mark_used(child_id)
+            self.children[cache_key].append(self.cache_key_set.get_data_key(child_id))
+        return self
+
diff --git a/ComfyUI/comfy_execution/graph.py b/ComfyUI/comfy_execution/graph.py
new file mode 100644
index 0000000000000000000000000000000000000000..b53e10f3f9c896dd57ffcf21b2782a7ecfd11b08
--- /dev/null
+++ b/ComfyUI/comfy_execution/graph.py
@@ -0,0 +1,259 @@
+import nodes
+
+from comfy_execution.graph_utils import is_link
+
+class DependencyCycleError(Exception):
+    pass
+
+class NodeInputError(Exception):
+    pass
+
+class NodeNotFoundError(Exception):
+    pass
+
+class DynamicPrompt:
+    def __init__(self, original_prompt):
+        # The original prompt provided by the user
+        self.original_prompt = original_prompt
+        # Any extra pieces of the graph created during execution
+        self.ephemeral_prompt = {}
+        self.ephemeral_parents = {}
+        self.ephemeral_display = {}
+
+    def get_node(self, node_id):
+        if node_id in self.ephemeral_prompt:
+            return self.ephemeral_prompt[node_id]
+        if node_id in self.original_prompt:
+            return self.original_prompt[node_id]
+        raise NodeNotFoundError(f"Node {node_id} not found")
+
+    def has_node(self, node_id):
+        return node_id in self.original_prompt or node_id in self.ephemeral_prompt
+
+    def add_ephemeral_node(self, node_id, node_info, parent_id, display_id):
+        self.ephemeral_prompt[node_id] = node_info
+        self.ephemeral_parents[node_id] = parent_id
+        self.ephemeral_display[node_id] = display_id
+
+    def get_real_node_id(self, node_id):
+        while node_id in self.ephemeral_parents:
+            node_id = self.ephemeral_parents[node_id]
+        return node_id
+
+    def get_parent_node_id(self, node_id):
+        return self.ephemeral_parents.get(node_id, None)
+
+    def get_display_node_id(self, node_id):
+        while node_id in self.ephemeral_display:
+            node_id = self.ephemeral_display[node_id]
+        return node_id
+
+    def all_node_ids(self):
+        return set(self.original_prompt.keys()).union(set(self.ephemeral_prompt.keys()))
+
+    def get_original_prompt(self):
+        return self.original_prompt
+
+def get_input_info(class_def, input_name):
+    valid_inputs = class_def.INPUT_TYPES()
+    input_info = None
+    input_category = None
+    if "required" in valid_inputs and input_name in valid_inputs["required"]:
+        input_category = "required"
+        input_info = valid_inputs["required"][input_name]
+    elif "optional" in valid_inputs and input_name in valid_inputs["optional"]:
+        input_category = "optional"
+        input_info = valid_inputs["optional"][input_name]
+    elif "hidden" in valid_inputs and input_name in valid_inputs["hidden"]:
+        input_category = "hidden"
+        input_info = valid_inputs["hidden"][input_name]
+    if input_info is None:
+        return None, None, None
+    input_type = input_info[0]
+    if len(input_info) > 1:
+        extra_info = input_info[1]
+    else:
+        extra_info = {}
+    return input_type, input_category, extra_info
+
+class TopologicalSort:
+    def __init__(self, dynprompt):
+        self.dynprompt = dynprompt
+        self.pendingNodes = {}
+        self.blockCount = {} # Number of nodes this node is directly blocked by
+        self.blocking = {} # Which nodes are blocked by this node
+
+    def get_input_info(self, unique_id, input_name):
+        class_type = self.dynprompt.get_node(unique_id)["class_type"]
+        class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
+        return get_input_info(class_def, input_name)
+
+    def make_input_strong_link(self, to_node_id, to_input):
+        inputs = self.dynprompt.get_node(to_node_id)["inputs"]
+        if to_input not in inputs:
+            raise NodeInputError(f"Node {to_node_id} says it needs input {to_input}, but there is no input to that node at all")
+        value = inputs[to_input]
+        if not is_link(value):
+            raise NodeInputError(f"Node {to_node_id} says it needs input {to_input}, but that value is a constant")
+        from_node_id, from_socket = value
+        self.add_strong_link(from_node_id, from_socket, to_node_id)
+
+    def add_strong_link(self, from_node_id, from_socket, to_node_id):
+        self.add_node(from_node_id)
+        if to_node_id not in self.blocking[from_node_id]:
+            self.blocking[from_node_id][to_node_id] = {}
+            self.blockCount[to_node_id] += 1
+        self.blocking[from_node_id][to_node_id][from_socket] = True
+
+    def add_node(self, unique_id, include_lazy=False, subgraph_nodes=None):
+        if unique_id in self.pendingNodes:
+            return
+        self.pendingNodes[unique_id] = True
+        self.blockCount[unique_id] = 0
+        self.blocking[unique_id] = {}
+
+        inputs = self.dynprompt.get_node(unique_id)["inputs"]
+        for input_name in inputs:
+            value = inputs[input_name]
+            if is_link(value):
+                from_node_id, from_socket = value
+                if subgraph_nodes is not None and from_node_id not in subgraph_nodes:
+                    continue
+                input_type, input_category, input_info = self.get_input_info(unique_id, input_name)
+                is_lazy = input_info is not None and "lazy" in input_info and input_info["lazy"]
+                if include_lazy or not is_lazy:
+                    self.add_strong_link(from_node_id, from_socket, unique_id)
+
+    def get_ready_nodes(self):
+        return [node_id for node_id in self.pendingNodes if self.blockCount[node_id] == 0]
+
+    def pop_node(self, unique_id):
+        del self.pendingNodes[unique_id]
+        for blocked_node_id in self.blocking[unique_id]:
+            self.blockCount[blocked_node_id] -= 1
+        del self.blocking[unique_id]
+
+    def is_empty(self):
+        return len(self.pendingNodes) == 0
+
+class ExecutionList(TopologicalSort):
+    """
+    ExecutionList implements a topological dissolve of the graph. After a node is staged for execution,
+    it can still be returned to the graph after having further dependencies added.
+    """
+    def __init__(self, dynprompt, output_cache):
+        super().__init__(dynprompt)
+        self.output_cache = output_cache
+        self.staged_node_id = None
+
+    def add_strong_link(self, from_node_id, from_socket, to_node_id):
+        if self.output_cache.get(from_node_id) is not None:
+            # Nothing to do
+            return
+        super().add_strong_link(from_node_id, from_socket, to_node_id)
+
+    def stage_node_execution(self):
+        assert self.staged_node_id is None
+        if self.is_empty():
+            return None, None, None
+        available = self.get_ready_nodes()
+        if len(available) == 0:
+            cycled_nodes = self.get_nodes_in_cycle()
+            # Because cycles composed entirely of static nodes are caught during initial validation,
+            # we will 'blame' the first node in the cycle that is not a static node.
+            blamed_node = cycled_nodes[0]
+            for node_id in cycled_nodes:
+                display_node_id = self.dynprompt.get_display_node_id(node_id)
+                if display_node_id != node_id:
+                    blamed_node = display_node_id
+                    break
+            ex = DependencyCycleError("Dependency cycle detected")
+            error_details = {
+                "node_id": blamed_node,
+                "exception_message": str(ex),
+                "exception_type": "graph.DependencyCycleError",
+                "traceback": [],
+                "current_inputs": []
+            }
+            return None, error_details, ex
+
+        self.staged_node_id = self.ux_friendly_pick_node(available)
+        return self.staged_node_id, None, None
+
+    def ux_friendly_pick_node(self, node_list):
+        # If an output node is available, do that first.
+        # Technically this has no effect on the overall length of execution, but it feels better as a user
+        # for a PreviewImage to display a result as soon as it can
+        # Some other heuristics could probably be used here to improve the UX further.
+        def is_output(node_id):
+            class_type = self.dynprompt.get_node(node_id)["class_type"]
+            class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
+            if hasattr(class_def, 'OUTPUT_NODE') and class_def.OUTPUT_NODE == True:
+                return True
+            return False
+
+        for node_id in node_list:
+            if is_output(node_id):
+                return node_id
+
+        #This should handle the VAEDecode -> preview case
+        for node_id in node_list:
+            for blocked_node_id in self.blocking[node_id]:
+                if is_output(blocked_node_id):
+                    return node_id
+
+        #This should handle the VAELoader -> VAEDecode -> preview case
+        for node_id in node_list:
+            for blocked_node_id in self.blocking[node_id]:
+                for blocked_node_id1 in self.blocking[blocked_node_id]:
+                    if is_output(blocked_node_id1):
+                        return node_id
+
+        #TODO: this function should be improved
+        return node_list[0]
+
+    def unstage_node_execution(self):
+        assert self.staged_node_id is not None
+        self.staged_node_id = None
+
+    def complete_node_execution(self):
+        node_id = self.staged_node_id
+        self.pop_node(node_id)
+        self.staged_node_id = None
+
+    def get_nodes_in_cycle(self):
+        # We'll dissolve the graph in reverse topological order to leave only the nodes in the cycle.
+        # We're skipping some of the performance optimizations from the original TopologicalSort to keep
+        # the code simple (and because having a cycle in the first place is a catastrophic error)
+        blocked_by = { node_id: {} for node_id in self.pendingNodes }
+        for from_node_id in self.blocking:
+            for to_node_id in self.blocking[from_node_id]:
+                if True in self.blocking[from_node_id][to_node_id].values():
+                    blocked_by[to_node_id][from_node_id] = True
+        to_remove = [node_id for node_id in blocked_by if len(blocked_by[node_id]) == 0]
+        while len(to_remove) > 0:
+            for node_id in to_remove:
+                for to_node_id in blocked_by:
+                    if node_id in blocked_by[to_node_id]:
+                        del blocked_by[to_node_id][node_id]
+                del blocked_by[node_id]
+            to_remove = [node_id for node_id in blocked_by if len(blocked_by[node_id]) == 0]
+        return list(blocked_by.keys())
+
+class ExecutionBlocker:
+    """
+    Return this from a node and any users will be blocked with the given error message.
+    If the message is None, execution will be blocked silently instead.
+    Generally, you should avoid using this functionality unless absolutely necessary. Whenever it's
+    possible, a lazy input will be more efficient and have a better user experience.
+    This functionality is useful in two cases:
+    1. You want to conditionally prevent an output node from executing. (Particularly a built-in node
+       like SaveImage. For your own output nodes, I would recommend just adding a BOOL input and using
+       lazy evaluation to let it conditionally disable itself.)
+    2. You have a node with multiple possible outputs, some of which are invalid and should not be used.
+       (I would recommend not making nodes like this in the future -- instead, make multiple nodes with
+       different outputs. Unfortunately, there are several popular existing nodes using this pattern.)
+    """
+    def __init__(self, message):
+        self.message = message
+
diff --git a/ComfyUI/comfy_execution/graph_utils.py b/ComfyUI/comfy_execution/graph_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..8595e942d32160152c3c0163c85ad9bcd2e68d45
--- /dev/null
+++ b/ComfyUI/comfy_execution/graph_utils.py
@@ -0,0 +1,139 @@
+def is_link(obj):
+    if not isinstance(obj, list):
+        return False
+    if len(obj) != 2:
+        return False
+    if not isinstance(obj[0], str):
+        return False
+    if not isinstance(obj[1], int) and not isinstance(obj[1], float):
+        return False
+    return True
+
+# The GraphBuilder is just a utility class that outputs graphs in the form expected by the ComfyUI back-end
+class GraphBuilder:
+    _default_prefix_root = ""
+    _default_prefix_call_index = 0
+    _default_prefix_graph_index = 0
+
+    def __init__(self, prefix = None):
+        if prefix is None:
+            self.prefix = GraphBuilder.alloc_prefix()
+        else:
+            self.prefix = prefix
+        self.nodes = {}
+        self.id_gen = 1
+
+    @classmethod
+    def set_default_prefix(cls, prefix_root, call_index, graph_index = 0):
+        cls._default_prefix_root = prefix_root
+        cls._default_prefix_call_index = call_index
+        cls._default_prefix_graph_index = graph_index
+
+    @classmethod
+    def alloc_prefix(cls, root=None, call_index=None, graph_index=None):
+        if root is None:
+            root = GraphBuilder._default_prefix_root
+        if call_index is None:
+            call_index = GraphBuilder._default_prefix_call_index
+        if graph_index is None:
+            graph_index = GraphBuilder._default_prefix_graph_index
+        result = f"{root}.{call_index}.{graph_index}."
+        GraphBuilder._default_prefix_graph_index += 1
+        return result
+
+    def node(self, class_type, id=None, **kwargs):
+        if id is None:
+            id = str(self.id_gen)
+            self.id_gen += 1
+        id = self.prefix + id
+        if id in self.nodes:
+            return self.nodes[id]
+
+        node = Node(id, class_type, kwargs)
+        self.nodes[id] = node
+        return node
+
+    def lookup_node(self, id):
+        id = self.prefix + id
+        return self.nodes.get(id)
+
+    def finalize(self):
+        output = {}
+        for node_id, node in self.nodes.items():
+            output[node_id] = node.serialize()
+        return output
+
+    def replace_node_output(self, node_id, index, new_value):
+        node_id = self.prefix + node_id
+        to_remove = []
+        for node in self.nodes.values():
+            for key, value in node.inputs.items():
+                if is_link(value) and value[0] == node_id and value[1] == index:
+                    if new_value is None:
+                        to_remove.append((node, key))
+                    else:
+                        node.inputs[key] = new_value
+        for node, key in to_remove:
+            del node.inputs[key]
+
+    def remove_node(self, id):
+        id = self.prefix + id
+        del self.nodes[id]
+
+class Node:
+    def __init__(self, id, class_type, inputs):
+        self.id = id
+        self.class_type = class_type
+        self.inputs = inputs
+        self.override_display_id = None
+
+    def out(self, index):
+        return [self.id, index]
+
+    def set_input(self, key, value):
+        if value is None:
+            if key in self.inputs:
+                del self.inputs[key]
+        else:
+            self.inputs[key] = value
+
+    def get_input(self, key):
+        return self.inputs.get(key)
+
+    def set_override_display_id(self, override_display_id):
+        self.override_display_id = override_display_id
+
+    def serialize(self):
+        serialized = {
+            "class_type": self.class_type,
+            "inputs": self.inputs
+        }
+        if self.override_display_id is not None:
+            serialized["override_display_id"] = self.override_display_id
+        return serialized
+
+def add_graph_prefix(graph, outputs, prefix):
+    # Change the node IDs and any internal links
+    new_graph = {}
+    for node_id, node_info in graph.items():
+        # Make sure the added nodes have unique IDs
+        new_node_id = prefix + node_id
+        new_node = { "class_type": node_info["class_type"], "inputs": {} }
+        for input_name, input_value in node_info.get("inputs", {}).items():
+            if is_link(input_value):
+                new_node["inputs"][input_name] = [prefix + input_value[0], input_value[1]]
+            else:
+                new_node["inputs"][input_name] = input_value
+        new_graph[new_node_id] = new_node
+
+    # Change the node IDs in the outputs
+    new_outputs = []
+    for n in range(len(outputs)):
+        output = outputs[n]
+        if is_link(output):
+            new_outputs.append([prefix + output[0], output[1]])
+        else:
+            new_outputs.append(output)
+
+    return new_graph, tuple(new_outputs)
+
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diff --git a/ComfyUI/comfy_extras/chainner_models/model_loading.py b/ComfyUI/comfy_extras/chainner_models/model_loading.py
new file mode 100644
index 0000000000000000000000000000000000000000..d48bc238ccc6efbb383232c46d83d9c29c54ce5d
--- /dev/null
+++ b/ComfyUI/comfy_extras/chainner_models/model_loading.py
@@ -0,0 +1,5 @@
+from spandrel import ModelLoader
+
+def load_state_dict(state_dict):
+    print("WARNING: comfy_extras.chainner_models is deprecated and has been replaced by the spandrel library.")
+    return ModelLoader().load_from_state_dict(state_dict).eval()
diff --git a/ComfyUI/comfy_extras/nodes_advanced_samplers.py b/ComfyUI/comfy_extras/nodes_advanced_samplers.py
new file mode 100644
index 0000000000000000000000000000000000000000..820c250ef3aa4b3099ab7e20c4443bd6ed9bff6b
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_advanced_samplers.py
@@ -0,0 +1,112 @@
+import comfy.samplers
+import comfy.utils
+import torch
+import numpy as np
+from tqdm.auto import trange, tqdm
+import math
+
+
+@torch.no_grad()
+def sample_lcm_upscale(model, x, sigmas, extra_args=None, callback=None, disable=None, total_upscale=2.0, upscale_method="bislerp", upscale_steps=None):
+    extra_args = {} if extra_args is None else extra_args
+
+    if upscale_steps is None:
+        upscale_steps = max(len(sigmas) // 2 + 1, 2)
+    else:
+        upscale_steps += 1
+        upscale_steps = min(upscale_steps, len(sigmas) + 1)
+
+    upscales = np.linspace(1.0, total_upscale, upscale_steps)[1:]
+
+    orig_shape = x.size()
+    s_in = x.new_ones([x.shape[0]])
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
+
+        x = denoised
+        if i < len(upscales):
+            x = comfy.utils.common_upscale(x, round(orig_shape[-1] * upscales[i]), round(orig_shape[-2] * upscales[i]), upscale_method, "disabled")
+
+        if sigmas[i + 1] > 0:
+            x += sigmas[i + 1] * torch.randn_like(x)
+    return x
+
+
+class SamplerLCMUpscale:
+    upscale_methods = ["bislerp", "nearest-exact", "bilinear", "area", "bicubic"]
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"scale_ratio": ("FLOAT", {"default": 1.0, "min": 0.1, "max": 20.0, "step": 0.01}),
+                     "scale_steps": ("INT", {"default": -1, "min": -1, "max": 1000, "step": 1}),
+                     "upscale_method": (s.upscale_methods,),
+                      }
+               }
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, scale_ratio, scale_steps, upscale_method):
+        if scale_steps < 0:
+            scale_steps = None
+        sampler = comfy.samplers.KSAMPLER(sample_lcm_upscale, extra_options={"total_upscale": scale_ratio, "upscale_steps": scale_steps, "upscale_method": upscale_method})
+        return (sampler, )
+
+from comfy.k_diffusion.sampling import to_d
+import comfy.model_patcher
+
+@torch.no_grad()
+def sample_euler_pp(model, x, sigmas, extra_args=None, callback=None, disable=None):
+    extra_args = {} if extra_args is None else extra_args
+
+    temp = [0]
+    def post_cfg_function(args):
+        temp[0] = args["uncond_denoised"]
+        return args["denoised"]
+
+    model_options = extra_args.get("model_options", {}).copy()
+    extra_args["model_options"] = comfy.model_patcher.set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=True)
+
+    s_in = x.new_ones([x.shape[0]])
+    for i in trange(len(sigmas) - 1, disable=disable):
+        sigma_hat = sigmas[i]
+        denoised = model(x, sigma_hat * s_in, **extra_args)
+        d = to_d(x - denoised + temp[0], sigmas[i], denoised)
+        if callback is not None:
+            callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised})
+        dt = sigmas[i + 1] - sigma_hat
+        x = x + d * dt
+    return x
+
+
+class SamplerEulerCFGpp:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"version": (["regular", "alternative"],),}
+               }
+    RETURN_TYPES = ("SAMPLER",)
+    # CATEGORY = "sampling/custom_sampling/samplers"
+    CATEGORY = "_for_testing"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, version):
+        if version == "alternative":
+            sampler = comfy.samplers.KSAMPLER(sample_euler_pp)
+        else:
+            sampler = comfy.samplers.ksampler("euler_cfg_pp")
+        return (sampler, )
+
+NODE_CLASS_MAPPINGS = {
+    "SamplerLCMUpscale": SamplerLCMUpscale,
+    "SamplerEulerCFGpp": SamplerEulerCFGpp,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "SamplerEulerCFGpp": "SamplerEulerCFG++",
+}
diff --git a/ComfyUI/comfy_extras/nodes_align_your_steps.py b/ComfyUI/comfy_extras/nodes_align_your_steps.py
new file mode 100644
index 0000000000000000000000000000000000000000..3ffe531878521bdb81e7fee4e9d03f7c37636abc
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_align_your_steps.py
@@ -0,0 +1,53 @@
+#from: https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html
+import numpy as np
+import torch
+
+def loglinear_interp(t_steps, num_steps):
+    """
+    Performs log-linear interpolation of a given array of decreasing numbers.
+    """
+    xs = np.linspace(0, 1, len(t_steps))
+    ys = np.log(t_steps[::-1])
+
+    new_xs = np.linspace(0, 1, num_steps)
+    new_ys = np.interp(new_xs, xs, ys)
+
+    interped_ys = np.exp(new_ys)[::-1].copy()
+    return interped_ys
+
+NOISE_LEVELS = {"SD1": [14.6146412293, 6.4745760956,  3.8636745985,  2.6946151520, 1.8841921177,  1.3943805092,  0.9642583904,  0.6523686016, 0.3977456272,  0.1515232662,  0.0291671582],
+                "SDXL":[14.6146412293, 6.3184485287,  3.7681790315,  2.1811480769, 1.3405244945,  0.8620721141,  0.5550693289,  0.3798540708, 0.2332364134,  0.1114188177,  0.0291671582],
+                "SVD": [700.00, 54.5, 15.886, 7.977, 4.248, 1.789, 0.981, 0.403, 0.173, 0.034, 0.002]}
+
+class AlignYourStepsScheduler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model_type": (["SD1", "SDXL", "SVD"], ),
+                     "steps": ("INT", {"default": 10, "min": 10, "max": 10000}),
+                     "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                      }
+               }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/schedulers"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, model_type, steps, denoise):
+        total_steps = steps
+        if denoise < 1.0:
+            if denoise <= 0.0:
+                return (torch.FloatTensor([]),)
+            total_steps = round(steps * denoise)
+
+        sigmas = NOISE_LEVELS[model_type][:]
+        if (steps + 1) != len(sigmas):
+            sigmas = loglinear_interp(sigmas, steps + 1)
+
+        sigmas = sigmas[-(total_steps + 1):]
+        sigmas[-1] = 0
+        return (torch.FloatTensor(sigmas), )
+
+NODE_CLASS_MAPPINGS = {
+    "AlignYourStepsScheduler": AlignYourStepsScheduler,
+}
diff --git a/ComfyUI/comfy_extras/nodes_attention_multiply.py b/ComfyUI/comfy_extras/nodes_attention_multiply.py
new file mode 100644
index 0000000000000000000000000000000000000000..4747eb39568afe9e19d34fd583531fcab1acba69
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_attention_multiply.py
@@ -0,0 +1,120 @@
+
+def attention_multiply(attn, model, q, k, v, out):
+    m = model.clone()
+    sd = model.model_state_dict()
+
+    for key in sd:
+        if key.endswith("{}.to_q.bias".format(attn)) or key.endswith("{}.to_q.weight".format(attn)):
+            m.add_patches({key: (None,)}, 0.0, q)
+        if key.endswith("{}.to_k.bias".format(attn)) or key.endswith("{}.to_k.weight".format(attn)):
+            m.add_patches({key: (None,)}, 0.0, k)
+        if key.endswith("{}.to_v.bias".format(attn)) or key.endswith("{}.to_v.weight".format(attn)):
+            m.add_patches({key: (None,)}, 0.0, v)
+        if key.endswith("{}.to_out.0.bias".format(attn)) or key.endswith("{}.to_out.0.weight".format(attn)):
+            m.add_patches({key: (None,)}, 0.0, out)
+
+    return m
+
+
+class UNetSelfAttentionMultiply:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "q": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "k": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "v": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "out": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "_for_testing/attention_experiments"
+
+    def patch(self, model, q, k, v, out):
+        m = attention_multiply("attn1", model, q, k, v, out)
+        return (m, )
+
+class UNetCrossAttentionMultiply:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "q": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "k": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "v": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "out": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "_for_testing/attention_experiments"
+
+    def patch(self, model, q, k, v, out):
+        m = attention_multiply("attn2", model, q, k, v, out)
+        return (m, )
+
+class CLIPAttentionMultiply:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip": ("CLIP",),
+                              "q": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "k": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "v": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "out": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("CLIP",)
+    FUNCTION = "patch"
+
+    CATEGORY = "_for_testing/attention_experiments"
+
+    def patch(self, clip, q, k, v, out):
+        m = clip.clone()
+        sd = m.patcher.model_state_dict()
+
+        for key in sd:
+            if key.endswith("self_attn.q_proj.weight") or key.endswith("self_attn.q_proj.bias"):
+                m.add_patches({key: (None,)}, 0.0, q)
+            if key.endswith("self_attn.k_proj.weight") or key.endswith("self_attn.k_proj.bias"):
+                m.add_patches({key: (None,)}, 0.0, k)
+            if key.endswith("self_attn.v_proj.weight") or key.endswith("self_attn.v_proj.bias"):
+                m.add_patches({key: (None,)}, 0.0, v)
+            if key.endswith("self_attn.out_proj.weight") or key.endswith("self_attn.out_proj.bias"):
+                m.add_patches({key: (None,)}, 0.0, out)
+        return (m, )
+
+class UNetTemporalAttentionMultiply:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "self_structural": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "self_temporal": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "cross_structural": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "cross_temporal": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "_for_testing/attention_experiments"
+
+    def patch(self, model, self_structural, self_temporal, cross_structural, cross_temporal):
+        m = model.clone()
+        sd = model.model_state_dict()
+
+        for k in sd:
+            if (k.endswith("attn1.to_out.0.bias") or k.endswith("attn1.to_out.0.weight")):
+                if '.time_stack.' in k:
+                    m.add_patches({k: (None,)}, 0.0, self_temporal)
+                else:
+                    m.add_patches({k: (None,)}, 0.0, self_structural)
+            elif (k.endswith("attn2.to_out.0.bias") or k.endswith("attn2.to_out.0.weight")):
+                if '.time_stack.' in k:
+                    m.add_patches({k: (None,)}, 0.0, cross_temporal)
+                else:
+                    m.add_patches({k: (None,)}, 0.0, cross_structural)
+        return (m, )
+
+NODE_CLASS_MAPPINGS = {
+    "UNetSelfAttentionMultiply": UNetSelfAttentionMultiply,
+    "UNetCrossAttentionMultiply": UNetCrossAttentionMultiply,
+    "CLIPAttentionMultiply": CLIPAttentionMultiply,
+    "UNetTemporalAttentionMultiply": UNetTemporalAttentionMultiply,
+}
diff --git a/ComfyUI/comfy_extras/nodes_audio.py b/ComfyUI/comfy_extras/nodes_audio.py
new file mode 100644
index 0000000000000000000000000000000000000000..762b48279e1120cb9f94d785fb20a5dbf59d52de
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_audio.py
@@ -0,0 +1,231 @@
+import torchaudio
+import torch
+import comfy.model_management
+import folder_paths
+import os
+import io
+import json
+import struct
+import random
+import hashlib
+from comfy.cli_args import args
+
+class EmptyLatentAudio:
+    def __init__(self):
+        self.device = comfy.model_management.intermediate_device()
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"seconds": ("FLOAT", {"default": 47.6, "min": 1.0, "max": 1000.0, "step": 0.1})}}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "generate"
+
+    CATEGORY = "latent/audio"
+
+    def generate(self, seconds):
+        batch_size = 1
+        length = round((seconds * 44100 / 2048) / 2) * 2
+        latent = torch.zeros([batch_size, 64, length], device=self.device)
+        return ({"samples":latent, "type": "audio"}, )
+
+class VAEEncodeAudio:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "audio": ("AUDIO", ), "vae": ("VAE", )}}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "encode"
+
+    CATEGORY = "latent/audio"
+
+    def encode(self, vae, audio):
+        sample_rate = audio["sample_rate"]
+        if 44100 != sample_rate:
+            waveform = torchaudio.functional.resample(audio["waveform"], sample_rate, 44100)
+        else:
+            waveform = audio["waveform"]
+
+        t = vae.encode(waveform.movedim(1, -1))
+        return ({"samples":t}, )
+
+class VAEDecodeAudio:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT", ), "vae": ("VAE", )}}
+    RETURN_TYPES = ("AUDIO",)
+    FUNCTION = "decode"
+
+    CATEGORY = "latent/audio"
+
+    def decode(self, vae, samples):
+        audio = vae.decode(samples["samples"]).movedim(-1, 1)
+        return ({"waveform": audio, "sample_rate": 44100}, )
+
+
+def create_vorbis_comment_block(comment_dict, last_block):
+    vendor_string = b'ComfyUI'
+    vendor_length = len(vendor_string)
+
+    comments = []
+    for key, value in comment_dict.items():
+        comment = f"{key}={value}".encode('utf-8')
+        comments.append(struct.pack('<I', len(comment)) + comment)
+
+    user_comment_list_length = len(comments)
+    user_comments = b''.join(comments)
+
+    comment_data = struct.pack('<I', vendor_length) + vendor_string + struct.pack('<I', user_comment_list_length) + user_comments
+    if last_block:
+        id = b'\x84'
+    else:
+        id = b'\x04'
+    comment_block = id + struct.pack('>I', len(comment_data))[1:] + comment_data
+
+    return comment_block
+
+def insert_or_replace_vorbis_comment(flac_io, comment_dict):
+    if len(comment_dict) == 0:
+        return flac_io
+
+    flac_io.seek(4)
+
+    blocks = []
+    last_block = False
+
+    while not last_block:
+        header = flac_io.read(4)
+        last_block = (header[0] & 0x80) != 0
+        block_type = header[0] & 0x7F
+        block_length = struct.unpack('>I', b'\x00' + header[1:])[0]
+        block_data = flac_io.read(block_length)
+
+        if block_type == 4 or block_type == 1:
+            pass
+        else:
+            header = bytes([(header[0] & (~0x80))]) + header[1:]
+            blocks.append(header + block_data)
+
+    blocks.append(create_vorbis_comment_block(comment_dict, last_block=True))
+
+    new_flac_io = io.BytesIO()
+    new_flac_io.write(b'fLaC')
+    for block in blocks:
+        new_flac_io.write(block)
+
+    new_flac_io.write(flac_io.read())
+    return new_flac_io
+
+
+class SaveAudio:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+        self.type = "output"
+        self.prefix_append = ""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "audio": ("AUDIO", ),
+                              "filename_prefix": ("STRING", {"default": "audio/ComfyUI"})},
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+                }
+
+    RETURN_TYPES = ()
+    FUNCTION = "save_audio"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "audio"
+
+    def save_audio(self, audio, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
+        filename_prefix += self.prefix_append
+        full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
+        results = list()
+
+        metadata = {}
+        if not args.disable_metadata:
+            if prompt is not None:
+                metadata["prompt"] = json.dumps(prompt)
+            if extra_pnginfo is not None:
+                for x in extra_pnginfo:
+                    metadata[x] = json.dumps(extra_pnginfo[x])
+
+        for (batch_number, waveform) in enumerate(audio["waveform"].cpu()):
+            filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
+            file = f"{filename_with_batch_num}_{counter:05}_.flac"
+
+            buff = io.BytesIO()
+            torchaudio.save(buff, waveform, audio["sample_rate"], format="FLAC")
+
+            buff = insert_or_replace_vorbis_comment(buff, metadata)
+
+            with open(os.path.join(full_output_folder, file), 'wb') as f:
+                f.write(buff.getbuffer())
+
+            results.append({
+                "filename": file,
+                "subfolder": subfolder,
+                "type": self.type
+            })
+            counter += 1
+
+        return { "ui": { "audio": results } }
+
+class PreviewAudio(SaveAudio):
+    def __init__(self):
+        self.output_dir = folder_paths.get_temp_directory()
+        self.type = "temp"
+        self.prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5))
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"audio": ("AUDIO", ), },
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+                }
+
+class LoadAudio:
+    SUPPORTED_FORMATS = ('.wav', '.mp3', '.ogg', '.flac', '.aiff', '.aif')
+
+    @classmethod
+    def INPUT_TYPES(s):
+        input_dir = folder_paths.get_input_directory()
+        files = [
+            f for f in os.listdir(input_dir)
+            if (os.path.isfile(os.path.join(input_dir, f))
+                and f.endswith(LoadAudio.SUPPORTED_FORMATS)
+            )
+        ]
+        return {"required": {"audio": (sorted(files), {"audio_upload": True})}}
+
+    CATEGORY = "audio"
+
+    RETURN_TYPES = ("AUDIO", )
+    FUNCTION = "load"
+
+    def load(self, audio):
+        audio_path = folder_paths.get_annotated_filepath(audio)
+        waveform, sample_rate = torchaudio.load(audio_path)
+        audio = {"waveform": waveform.unsqueeze(0), "sample_rate": sample_rate}
+        return (audio, )
+
+    @classmethod
+    def IS_CHANGED(s, audio):
+        image_path = folder_paths.get_annotated_filepath(audio)
+        m = hashlib.sha256()
+        with open(image_path, 'rb') as f:
+            m.update(f.read())
+        return m.digest().hex()
+
+    @classmethod
+    def VALIDATE_INPUTS(s, audio):
+        if not folder_paths.exists_annotated_filepath(audio):
+            return "Invalid audio file: {}".format(audio)
+        return True
+
+NODE_CLASS_MAPPINGS = {
+    "EmptyLatentAudio": EmptyLatentAudio,
+    "VAEEncodeAudio": VAEEncodeAudio,
+    "VAEDecodeAudio": VAEDecodeAudio,
+    "SaveAudio": SaveAudio,
+    "LoadAudio": LoadAudio,
+    "PreviewAudio": PreviewAudio,
+}
diff --git a/ComfyUI/comfy_extras/nodes_canny.py b/ComfyUI/comfy_extras/nodes_canny.py
new file mode 100644
index 0000000000000000000000000000000000000000..d85e6b85691dcdcc55e31705039934846d466fc1
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_canny.py
@@ -0,0 +1,25 @@
+from kornia.filters import canny
+import comfy.model_management
+
+
+class Canny:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"image": ("IMAGE",),
+                                "low_threshold": ("FLOAT", {"default": 0.4, "min": 0.01, "max": 0.99, "step": 0.01}),
+                                "high_threshold": ("FLOAT", {"default": 0.8, "min": 0.01, "max": 0.99, "step": 0.01})
+                                }}
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "detect_edge"
+
+    CATEGORY = "image/preprocessors"
+
+    def detect_edge(self, image, low_threshold, high_threshold):
+        output = canny(image.to(comfy.model_management.get_torch_device()).movedim(-1, 1), low_threshold, high_threshold)
+        img_out = output[1].to(comfy.model_management.intermediate_device()).repeat(1, 3, 1, 1).movedim(1, -1)
+        return (img_out,)
+
+NODE_CLASS_MAPPINGS = {
+    "Canny": Canny,
+}
diff --git a/ComfyUI/comfy_extras/nodes_clip_sdxl.py b/ComfyUI/comfy_extras/nodes_clip_sdxl.py
new file mode 100644
index 0000000000000000000000000000000000000000..3087b917b41dba951d69029bdd278c258d97e40f
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_clip_sdxl.py
@@ -0,0 +1,56 @@
+import torch
+from nodes import MAX_RESOLUTION
+
+class CLIPTextEncodeSDXLRefiner:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "ascore": ("FLOAT", {"default": 6.0, "min": 0.0, "max": 1000.0, "step": 0.01}),
+            "width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}),
+            "height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}),
+            "text": ("STRING", {"multiline": True, "dynamicPrompts": True}), "clip": ("CLIP", ),
+            }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "encode"
+
+    CATEGORY = "advanced/conditioning"
+
+    def encode(self, clip, ascore, width, height, text):
+        tokens = clip.tokenize(text)
+        cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True)
+        return ([[cond, {"pooled_output": pooled, "aesthetic_score": ascore, "width": width,"height": height}]], )
+
+class CLIPTextEncodeSDXL:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}),
+            "height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}),
+            "crop_w": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION}),
+            "crop_h": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION}),
+            "target_width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}),
+            "target_height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}),
+            "text_g": ("STRING", {"multiline": True, "dynamicPrompts": True}), "clip": ("CLIP", ),
+            "text_l": ("STRING", {"multiline": True, "dynamicPrompts": True}), "clip": ("CLIP", ),
+            }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "encode"
+
+    CATEGORY = "advanced/conditioning"
+
+    def encode(self, clip, width, height, crop_w, crop_h, target_width, target_height, text_g, text_l):
+        tokens = clip.tokenize(text_g)
+        tokens["l"] = clip.tokenize(text_l)["l"]
+        if len(tokens["l"]) != len(tokens["g"]):
+            empty = clip.tokenize("")
+            while len(tokens["l"]) < len(tokens["g"]):
+                tokens["l"] += empty["l"]
+            while len(tokens["l"]) > len(tokens["g"]):
+                tokens["g"] += empty["g"]
+        cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True)
+        return ([[cond, {"pooled_output": pooled, "width": width, "height": height, "crop_w": crop_w, "crop_h": crop_h, "target_width": target_width, "target_height": target_height}]], )
+
+NODE_CLASS_MAPPINGS = {
+    "CLIPTextEncodeSDXLRefiner": CLIPTextEncodeSDXLRefiner,
+    "CLIPTextEncodeSDXL": CLIPTextEncodeSDXL,
+}
diff --git a/ComfyUI/comfy_extras/nodes_compositing.py b/ComfyUI/comfy_extras/nodes_compositing.py
new file mode 100644
index 0000000000000000000000000000000000000000..48fe5e3ddc60e1e150299c35f044cae831c02300
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_compositing.py
@@ -0,0 +1,215 @@
+import numpy as np
+import torch
+import comfy.utils
+from enum import Enum
+
+def resize_mask(mask, shape):
+    return torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(shape[0], shape[1]), mode="bilinear").squeeze(1)
+
+class PorterDuffMode(Enum):
+    ADD = 0
+    CLEAR = 1
+    DARKEN = 2
+    DST = 3
+    DST_ATOP = 4
+    DST_IN = 5
+    DST_OUT = 6
+    DST_OVER = 7
+    LIGHTEN = 8
+    MULTIPLY = 9
+    OVERLAY = 10
+    SCREEN = 11
+    SRC = 12
+    SRC_ATOP = 13
+    SRC_IN = 14
+    SRC_OUT = 15
+    SRC_OVER = 16
+    XOR = 17
+
+
+def porter_duff_composite(src_image: torch.Tensor, src_alpha: torch.Tensor, dst_image: torch.Tensor, dst_alpha: torch.Tensor, mode: PorterDuffMode):
+    # convert mask to alpha
+    src_alpha = 1 - src_alpha
+    dst_alpha = 1 - dst_alpha
+    # premultiply alpha
+    src_image = src_image * src_alpha
+    dst_image = dst_image * dst_alpha
+
+    # composite ops below assume alpha-premultiplied images
+    if mode == PorterDuffMode.ADD:
+        out_alpha = torch.clamp(src_alpha + dst_alpha, 0, 1)
+        out_image = torch.clamp(src_image + dst_image, 0, 1)
+    elif mode == PorterDuffMode.CLEAR:
+        out_alpha = torch.zeros_like(dst_alpha)
+        out_image = torch.zeros_like(dst_image)
+    elif mode == PorterDuffMode.DARKEN:
+        out_alpha = src_alpha + dst_alpha - src_alpha * dst_alpha
+        out_image = (1 - dst_alpha) * src_image + (1 - src_alpha) * dst_image + torch.min(src_image, dst_image)
+    elif mode == PorterDuffMode.DST:
+        out_alpha = dst_alpha
+        out_image = dst_image
+    elif mode == PorterDuffMode.DST_ATOP:
+        out_alpha = src_alpha
+        out_image = src_alpha * dst_image + (1 - dst_alpha) * src_image
+    elif mode == PorterDuffMode.DST_IN:
+        out_alpha = src_alpha * dst_alpha
+        out_image = dst_image * src_alpha
+    elif mode == PorterDuffMode.DST_OUT:
+        out_alpha = (1 - src_alpha) * dst_alpha
+        out_image = (1 - src_alpha) * dst_image
+    elif mode == PorterDuffMode.DST_OVER:
+        out_alpha = dst_alpha + (1 - dst_alpha) * src_alpha
+        out_image = dst_image + (1 - dst_alpha) * src_image
+    elif mode == PorterDuffMode.LIGHTEN:
+        out_alpha = src_alpha + dst_alpha - src_alpha * dst_alpha
+        out_image = (1 - dst_alpha) * src_image + (1 - src_alpha) * dst_image + torch.max(src_image, dst_image)
+    elif mode == PorterDuffMode.MULTIPLY:
+        out_alpha = src_alpha * dst_alpha
+        out_image = src_image * dst_image
+    elif mode == PorterDuffMode.OVERLAY:
+        out_alpha = src_alpha + dst_alpha - src_alpha * dst_alpha
+        out_image = torch.where(2 * dst_image < dst_alpha, 2 * src_image * dst_image,
+            src_alpha * dst_alpha - 2 * (dst_alpha - src_image) * (src_alpha - dst_image))
+    elif mode == PorterDuffMode.SCREEN:
+        out_alpha = src_alpha + dst_alpha - src_alpha * dst_alpha
+        out_image = src_image + dst_image - src_image * dst_image
+    elif mode == PorterDuffMode.SRC:
+        out_alpha = src_alpha
+        out_image = src_image
+    elif mode == PorterDuffMode.SRC_ATOP:
+        out_alpha = dst_alpha
+        out_image = dst_alpha * src_image + (1 - src_alpha) * dst_image
+    elif mode == PorterDuffMode.SRC_IN:
+        out_alpha = src_alpha * dst_alpha
+        out_image = src_image * dst_alpha
+    elif mode == PorterDuffMode.SRC_OUT:
+        out_alpha = (1 - dst_alpha) * src_alpha
+        out_image = (1 - dst_alpha) * src_image
+    elif mode == PorterDuffMode.SRC_OVER:
+        out_alpha = src_alpha + (1 - src_alpha) * dst_alpha
+        out_image = src_image + (1 - src_alpha) * dst_image
+    elif mode == PorterDuffMode.XOR:
+        out_alpha = (1 - dst_alpha) * src_alpha + (1 - src_alpha) * dst_alpha
+        out_image = (1 - dst_alpha) * src_image + (1 - src_alpha) * dst_image
+    else:
+        return None, None
+
+    # back to non-premultiplied alpha
+    out_image = torch.where(out_alpha > 1e-5, out_image / out_alpha, torch.zeros_like(out_image))
+    out_image = torch.clamp(out_image, 0, 1)
+    # convert alpha to mask
+    out_alpha = 1 - out_alpha
+    return out_image, out_alpha
+
+
+class PorterDuffImageComposite:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "source": ("IMAGE",),
+                "source_alpha": ("MASK",),
+                "destination": ("IMAGE",),
+                "destination_alpha": ("MASK",),
+                "mode": ([mode.name for mode in PorterDuffMode], {"default": PorterDuffMode.DST.name}),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    FUNCTION = "composite"
+    CATEGORY = "mask/compositing"
+
+    def composite(self, source: torch.Tensor, source_alpha: torch.Tensor, destination: torch.Tensor, destination_alpha: torch.Tensor, mode):
+        batch_size = min(len(source), len(source_alpha), len(destination), len(destination_alpha))
+        out_images = []
+        out_alphas = []
+
+        for i in range(batch_size):
+            src_image = source[i]
+            dst_image = destination[i]
+
+            assert src_image.shape[2] == dst_image.shape[2] # inputs need to have same number of channels
+
+            src_alpha = source_alpha[i].unsqueeze(2)
+            dst_alpha = destination_alpha[i].unsqueeze(2)
+
+            if dst_alpha.shape[:2] != dst_image.shape[:2]:
+                upscale_input = dst_alpha.unsqueeze(0).permute(0, 3, 1, 2)
+                upscale_output = comfy.utils.common_upscale(upscale_input, dst_image.shape[1], dst_image.shape[0], upscale_method='bicubic', crop='center')
+                dst_alpha = upscale_output.permute(0, 2, 3, 1).squeeze(0)
+            if src_image.shape != dst_image.shape:
+                upscale_input = src_image.unsqueeze(0).permute(0, 3, 1, 2)
+                upscale_output = comfy.utils.common_upscale(upscale_input, dst_image.shape[1], dst_image.shape[0], upscale_method='bicubic', crop='center')
+                src_image = upscale_output.permute(0, 2, 3, 1).squeeze(0)
+            if src_alpha.shape != dst_alpha.shape:
+                upscale_input = src_alpha.unsqueeze(0).permute(0, 3, 1, 2)
+                upscale_output = comfy.utils.common_upscale(upscale_input, dst_alpha.shape[1], dst_alpha.shape[0], upscale_method='bicubic', crop='center')
+                src_alpha = upscale_output.permute(0, 2, 3, 1).squeeze(0)
+
+            out_image, out_alpha = porter_duff_composite(src_image, src_alpha, dst_image, dst_alpha, PorterDuffMode[mode])
+
+            out_images.append(out_image)
+            out_alphas.append(out_alpha.squeeze(2))
+
+        result = (torch.stack(out_images), torch.stack(out_alphas))
+        return result
+
+
+class SplitImageWithAlpha:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "image": ("IMAGE",),
+                }
+        }
+
+    CATEGORY = "mask/compositing"
+    RETURN_TYPES = ("IMAGE", "MASK")
+    FUNCTION = "split_image_with_alpha"
+
+    def split_image_with_alpha(self, image: torch.Tensor):
+        out_images = [i[:,:,:3] for i in image]
+        out_alphas = [i[:,:,3] if i.shape[2] > 3 else torch.ones_like(i[:,:,0]) for i in image]
+        result = (torch.stack(out_images), 1.0 - torch.stack(out_alphas))
+        return result
+
+
+class JoinImageWithAlpha:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "image": ("IMAGE",),
+                    "alpha": ("MASK",),
+                }
+        }
+
+    CATEGORY = "mask/compositing"
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "join_image_with_alpha"
+
+    def join_image_with_alpha(self, image: torch.Tensor, alpha: torch.Tensor):
+        batch_size = min(len(image), len(alpha))
+        out_images = []
+
+        alpha = 1.0 - resize_mask(alpha, image.shape[1:])
+        for i in range(batch_size):
+           out_images.append(torch.cat((image[i][:,:,:3], alpha[i].unsqueeze(2)), dim=2))
+
+        result = (torch.stack(out_images),)
+        return result
+
+
+NODE_CLASS_MAPPINGS = {
+    "PorterDuffImageComposite": PorterDuffImageComposite,
+    "SplitImageWithAlpha": SplitImageWithAlpha,
+    "JoinImageWithAlpha": JoinImageWithAlpha,
+}
+
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "PorterDuffImageComposite": "Porter-Duff Image Composite",
+    "SplitImageWithAlpha": "Split Image with Alpha",
+    "JoinImageWithAlpha": "Join Image with Alpha",
+}
diff --git a/ComfyUI/comfy_extras/nodes_cond.py b/ComfyUI/comfy_extras/nodes_cond.py
new file mode 100644
index 0000000000000000000000000000000000000000..4c3a1d5bf63e732c1d738b49e47da8ff7714f8a1
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_cond.py
@@ -0,0 +1,25 @@
+
+
+class CLIPTextEncodeControlnet:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"clip": ("CLIP", ), "conditioning": ("CONDITIONING", ), "text": ("STRING", {"multiline": True, "dynamicPrompts": True})}}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "encode"
+
+    CATEGORY = "_for_testing/conditioning"
+
+    def encode(self, clip, conditioning, text):
+        tokens = clip.tokenize(text)
+        cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True)
+        c = []
+        for t in conditioning:
+            n = [t[0], t[1].copy()]
+            n[1]['cross_attn_controlnet'] = cond
+            n[1]['pooled_output_controlnet'] = pooled
+            c.append(n)
+        return (c, )
+
+NODE_CLASS_MAPPINGS = {
+    "CLIPTextEncodeControlnet": CLIPTextEncodeControlnet
+}
diff --git a/ComfyUI/comfy_extras/nodes_controlnet.py b/ComfyUI/comfy_extras/nodes_controlnet.py
new file mode 100644
index 0000000000000000000000000000000000000000..0773c8a5b3a5a94eedd46a6cdcc58f19f9145053
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_controlnet.py
@@ -0,0 +1,27 @@
+from comfy.cldm.control_types import UNION_CONTROLNET_TYPES
+
+class SetUnionControlNetType:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"control_net": ("CONTROL_NET", ),
+                             "type": (["auto"] + list(UNION_CONTROLNET_TYPES.keys()),)
+                             }}
+
+    CATEGORY = "conditioning/controlnet"
+    RETURN_TYPES = ("CONTROL_NET",)
+
+    FUNCTION = "set_controlnet_type"
+
+    def set_controlnet_type(self, control_net, type):
+        control_net = control_net.copy()
+        type_number = UNION_CONTROLNET_TYPES.get(type, -1)
+        if type_number >= 0:
+            control_net.set_extra_arg("control_type", [type_number])
+        else:
+            control_net.set_extra_arg("control_type", [])
+
+        return (control_net,)
+
+NODE_CLASS_MAPPINGS = {
+    "SetUnionControlNetType": SetUnionControlNetType,
+}
diff --git a/ComfyUI/comfy_extras/nodes_custom_sampler.py b/ComfyUI/comfy_extras/nodes_custom_sampler.py
new file mode 100644
index 0000000000000000000000000000000000000000..219975e2787e414c93b41a7beb783bcad23019d5
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_custom_sampler.py
@@ -0,0 +1,703 @@
+import comfy.samplers
+import comfy.sample
+from comfy.k_diffusion import sampling as k_diffusion_sampling
+import latent_preview
+import torch
+import comfy.utils
+import node_helpers
+
+
+class BasicScheduler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model": ("MODEL",),
+                     "scheduler": (comfy.samplers.SCHEDULER_NAMES, ),
+                     "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
+                     "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                      }
+               }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/schedulers"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, model, scheduler, steps, denoise):
+        total_steps = steps
+        if denoise < 1.0:
+            if denoise <= 0.0:
+                return (torch.FloatTensor([]),)
+            total_steps = int(steps/denoise)
+
+        sigmas = comfy.samplers.calculate_sigmas(model.get_model_object("model_sampling"), scheduler, total_steps).cpu()
+        sigmas = sigmas[-(steps + 1):]
+        return (sigmas, )
+
+
+class KarrasScheduler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
+                     "sigma_max": ("FLOAT", {"default": 14.614642, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}),
+                     "sigma_min": ("FLOAT", {"default": 0.0291675, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}),
+                     "rho": ("FLOAT", {"default": 7.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                    }
+               }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/schedulers"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, steps, sigma_max, sigma_min, rho):
+        sigmas = k_diffusion_sampling.get_sigmas_karras(n=steps, sigma_min=sigma_min, sigma_max=sigma_max, rho=rho)
+        return (sigmas, )
+
+class ExponentialScheduler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
+                     "sigma_max": ("FLOAT", {"default": 14.614642, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}),
+                     "sigma_min": ("FLOAT", {"default": 0.0291675, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}),
+                    }
+               }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/schedulers"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, steps, sigma_max, sigma_min):
+        sigmas = k_diffusion_sampling.get_sigmas_exponential(n=steps, sigma_min=sigma_min, sigma_max=sigma_max)
+        return (sigmas, )
+
+class PolyexponentialScheduler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
+                     "sigma_max": ("FLOAT", {"default": 14.614642, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}),
+                     "sigma_min": ("FLOAT", {"default": 0.0291675, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}),
+                     "rho": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                    }
+               }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/schedulers"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, steps, sigma_max, sigma_min, rho):
+        sigmas = k_diffusion_sampling.get_sigmas_polyexponential(n=steps, sigma_min=sigma_min, sigma_max=sigma_max, rho=rho)
+        return (sigmas, )
+
+class SDTurboScheduler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model": ("MODEL",),
+                     "steps": ("INT", {"default": 1, "min": 1, "max": 10}),
+                     "denoise": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}),
+                      }
+               }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/schedulers"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, model, steps, denoise):
+        start_step = 10 - int(10 * denoise)
+        timesteps = torch.flip(torch.arange(1, 11) * 100 - 1, (0,))[start_step:start_step + steps]
+        sigmas = model.get_model_object("model_sampling").sigma(timesteps)
+        sigmas = torch.cat([sigmas, sigmas.new_zeros([1])])
+        return (sigmas, )
+
+class BetaSamplingScheduler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model": ("MODEL",),
+                     "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
+                     "alpha": ("FLOAT", {"default": 0.6, "min": 0.0, "max": 50.0, "step":0.01, "round": False}),
+                     "beta": ("FLOAT", {"default": 0.6, "min": 0.0, "max": 50.0, "step":0.01, "round": False}),
+                      }
+               }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/schedulers"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, model, steps, alpha, beta):
+        sigmas = comfy.samplers.beta_scheduler(model.get_model_object("model_sampling"), steps, alpha=alpha, beta=beta)
+        return (sigmas, )
+
+class VPScheduler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
+                     "beta_d": ("FLOAT", {"default": 19.9, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), #TODO: fix default values
+                     "beta_min": ("FLOAT", {"default": 0.1, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}),
+                     "eps_s": ("FLOAT", {"default": 0.001, "min": 0.0, "max": 1.0, "step":0.0001, "round": False}),
+                    }
+               }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/schedulers"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, steps, beta_d, beta_min, eps_s):
+        sigmas = k_diffusion_sampling.get_sigmas_vp(n=steps, beta_d=beta_d, beta_min=beta_min, eps_s=eps_s)
+        return (sigmas, )
+
+class SplitSigmas:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"sigmas": ("SIGMAS", ),
+                    "step": ("INT", {"default": 0, "min": 0, "max": 10000}),
+                     }
+                }
+    RETURN_TYPES = ("SIGMAS","SIGMAS")
+    RETURN_NAMES = ("high_sigmas", "low_sigmas")
+    CATEGORY = "sampling/custom_sampling/sigmas"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, sigmas, step):
+        sigmas1 = sigmas[:step + 1]
+        sigmas2 = sigmas[step:]
+        return (sigmas1, sigmas2)
+
+class SplitSigmasDenoise:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"sigmas": ("SIGMAS", ),
+                    "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                     }
+                }
+    RETURN_TYPES = ("SIGMAS","SIGMAS")
+    RETURN_NAMES = ("high_sigmas", "low_sigmas")
+    CATEGORY = "sampling/custom_sampling/sigmas"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, sigmas, denoise):
+        steps = max(sigmas.shape[-1] - 1, 0)
+        total_steps = round(steps * denoise)
+        sigmas1 = sigmas[:-(total_steps)]
+        sigmas2 = sigmas[-(total_steps + 1):]
+        return (sigmas1, sigmas2)
+
+class FlipSigmas:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"sigmas": ("SIGMAS", ),
+                     }
+                }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/sigmas"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, sigmas):
+        if len(sigmas) == 0:
+            return (sigmas,)
+
+        sigmas = sigmas.flip(0)
+        if sigmas[0] == 0:
+            sigmas[0] = 0.0001
+        return (sigmas,)
+
+class KSamplerSelect:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"sampler_name": (comfy.samplers.SAMPLER_NAMES, ),
+                      }
+               }
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, sampler_name):
+        sampler = comfy.samplers.sampler_object(sampler_name)
+        return (sampler, )
+
+class SamplerDPMPP_3M_SDE:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "noise_device": (['gpu', 'cpu'], ),
+                      }
+               }
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, eta, s_noise, noise_device):
+        if noise_device == 'cpu':
+            sampler_name = "dpmpp_3m_sde"
+        else:
+            sampler_name = "dpmpp_3m_sde_gpu"
+        sampler = comfy.samplers.ksampler(sampler_name, {"eta": eta, "s_noise": s_noise})
+        return (sampler, )
+
+class SamplerDPMPP_2M_SDE:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"solver_type": (['midpoint', 'heun'], ),
+                     "eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "noise_device": (['gpu', 'cpu'], ),
+                      }
+               }
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, solver_type, eta, s_noise, noise_device):
+        if noise_device == 'cpu':
+            sampler_name = "dpmpp_2m_sde"
+        else:
+            sampler_name = "dpmpp_2m_sde_gpu"
+        sampler = comfy.samplers.ksampler(sampler_name, {"eta": eta, "s_noise": s_noise, "solver_type": solver_type})
+        return (sampler, )
+
+
+class SamplerDPMPP_SDE:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "r": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "noise_device": (['gpu', 'cpu'], ),
+                      }
+               }
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, eta, s_noise, r, noise_device):
+        if noise_device == 'cpu':
+            sampler_name = "dpmpp_sde"
+        else:
+            sampler_name = "dpmpp_sde_gpu"
+        sampler = comfy.samplers.ksampler(sampler_name, {"eta": eta, "s_noise": s_noise, "r": r})
+        return (sampler, )
+
+class SamplerDPMPP_2S_Ancestral:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                      }
+               }
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, eta, s_noise):
+        sampler = comfy.samplers.ksampler("dpmpp_2s_ancestral", {"eta": eta, "s_noise": s_noise})
+        return (sampler, )
+
+class SamplerEulerAncestral:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                      }
+               }
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, eta, s_noise):
+        sampler = comfy.samplers.ksampler("euler_ancestral", {"eta": eta, "s_noise": s_noise})
+        return (sampler, )
+
+class SamplerEulerAncestralCFGPP:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step":0.01, "round": False}),
+                "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step":0.01, "round": False}),
+            }}
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, eta, s_noise):
+        sampler = comfy.samplers.ksampler(
+            "euler_ancestral_cfg_pp",
+            {"eta": eta, "s_noise": s_noise})
+        return (sampler, )
+
+class SamplerLMS:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"order": ("INT", {"default": 4, "min": 1, "max": 100}),
+                      }
+               }
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, order):
+        sampler = comfy.samplers.ksampler("lms", {"order": order})
+        return (sampler, )
+
+class SamplerDPMAdaptative:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"order": ("INT", {"default": 3, "min": 2, "max": 3}),
+                     "rtol": ("FLOAT", {"default": 0.05, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "atol": ("FLOAT", {"default": 0.0078, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "h_init": ("FLOAT", {"default": 0.05, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "pcoeff": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "icoeff": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "dcoeff": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "accept_safety": ("FLOAT", {"default": 0.81, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "eta": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                     "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
+                      }
+               }
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, order, rtol, atol, h_init, pcoeff, icoeff, dcoeff, accept_safety, eta, s_noise):
+        sampler = comfy.samplers.ksampler("dpm_adaptive", {"order": order, "rtol": rtol, "atol": atol, "h_init": h_init, "pcoeff": pcoeff,
+                                                              "icoeff": icoeff, "dcoeff": dcoeff, "accept_safety": accept_safety, "eta": eta,
+                                                              "s_noise":s_noise })
+        return (sampler, )
+
+class Noise_EmptyNoise:
+    def __init__(self):
+        self.seed = 0
+
+    def generate_noise(self, input_latent):
+        latent_image = input_latent["samples"]
+        return torch.zeros(latent_image.shape, dtype=latent_image.dtype, layout=latent_image.layout, device="cpu")
+
+
+class Noise_RandomNoise:
+    def __init__(self, seed):
+        self.seed = seed
+
+    def generate_noise(self, input_latent):
+        latent_image = input_latent["samples"]
+        batch_inds = input_latent["batch_index"] if "batch_index" in input_latent else None
+        return comfy.sample.prepare_noise(latent_image, self.seed, batch_inds)
+
+class SamplerCustom:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model": ("MODEL",),
+                    "add_noise": ("BOOLEAN", {"default": True}),
+                    "noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+                    "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}),
+                    "positive": ("CONDITIONING", ),
+                    "negative": ("CONDITIONING", ),
+                    "sampler": ("SAMPLER", ),
+                    "sigmas": ("SIGMAS", ),
+                    "latent_image": ("LATENT", ),
+                     }
+                }
+
+    RETURN_TYPES = ("LATENT","LATENT")
+    RETURN_NAMES = ("output", "denoised_output")
+
+    FUNCTION = "sample"
+
+    CATEGORY = "sampling/custom_sampling"
+
+    def sample(self, model, add_noise, noise_seed, cfg, positive, negative, sampler, sigmas, latent_image):
+        latent = latent_image
+        latent_image = latent["samples"]
+        latent = latent.copy()
+        latent_image = comfy.sample.fix_empty_latent_channels(model, latent_image)
+        latent["samples"] = latent_image
+
+        if not add_noise:
+            noise = Noise_EmptyNoise().generate_noise(latent)
+        else:
+            noise = Noise_RandomNoise(noise_seed).generate_noise(latent)
+
+        noise_mask = None
+        if "noise_mask" in latent:
+            noise_mask = latent["noise_mask"]
+
+        x0_output = {}
+        callback = latent_preview.prepare_callback(model, sigmas.shape[-1] - 1, x0_output)
+
+        disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
+        samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise_seed)
+
+        out = latent.copy()
+        out["samples"] = samples
+        if "x0" in x0_output:
+            out_denoised = latent.copy()
+            out_denoised["samples"] = model.model.process_latent_out(x0_output["x0"].cpu())
+        else:
+            out_denoised = out
+        return (out, out_denoised)
+
+class Guider_Basic(comfy.samplers.CFGGuider):
+    def set_conds(self, positive):
+        self.inner_set_conds({"positive": positive})
+
+class BasicGuider:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model": ("MODEL",),
+                    "conditioning": ("CONDITIONING", ),
+                     }
+                }
+
+    RETURN_TYPES = ("GUIDER",)
+
+    FUNCTION = "get_guider"
+    CATEGORY = "sampling/custom_sampling/guiders"
+
+    def get_guider(self, model, conditioning):
+        guider = Guider_Basic(model)
+        guider.set_conds(conditioning)
+        return (guider,)
+
+class CFGGuider:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model": ("MODEL",),
+                    "positive": ("CONDITIONING", ),
+                    "negative": ("CONDITIONING", ),
+                    "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}),
+                     }
+                }
+
+    RETURN_TYPES = ("GUIDER",)
+
+    FUNCTION = "get_guider"
+    CATEGORY = "sampling/custom_sampling/guiders"
+
+    def get_guider(self, model, positive, negative, cfg):
+        guider = comfy.samplers.CFGGuider(model)
+        guider.set_conds(positive, negative)
+        guider.set_cfg(cfg)
+        return (guider,)
+
+class Guider_DualCFG(comfy.samplers.CFGGuider):
+    def set_cfg(self, cfg1, cfg2):
+        self.cfg1 = cfg1
+        self.cfg2 = cfg2
+
+    def set_conds(self, positive, middle, negative):
+        middle = node_helpers.conditioning_set_values(middle, {"prompt_type": "negative"})
+        self.inner_set_conds({"positive": positive, "middle": middle, "negative": negative})
+
+    def predict_noise(self, x, timestep, model_options={}, seed=None):
+        negative_cond = self.conds.get("negative", None)
+        middle_cond = self.conds.get("middle", None)
+
+        out = comfy.samplers.calc_cond_batch(self.inner_model, [negative_cond, middle_cond, self.conds.get("positive", None)], x, timestep, model_options)
+        return comfy.samplers.cfg_function(self.inner_model, out[1], out[0], self.cfg2, x, timestep, model_options=model_options, cond=middle_cond, uncond=negative_cond) + (out[2] - out[1]) * self.cfg1
+
+class DualCFGGuider:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model": ("MODEL",),
+                    "cond1": ("CONDITIONING", ),
+                    "cond2": ("CONDITIONING", ),
+                    "negative": ("CONDITIONING", ),
+                    "cfg_conds": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}),
+                    "cfg_cond2_negative": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}),
+                     }
+                }
+
+    RETURN_TYPES = ("GUIDER",)
+
+    FUNCTION = "get_guider"
+    CATEGORY = "sampling/custom_sampling/guiders"
+
+    def get_guider(self, model, cond1, cond2, negative, cfg_conds, cfg_cond2_negative):
+        guider = Guider_DualCFG(model)
+        guider.set_conds(cond1, cond2, negative)
+        guider.set_cfg(cfg_conds, cfg_cond2_negative)
+        return (guider,)
+
+class DisableNoise:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":{
+                     }
+                }
+
+    RETURN_TYPES = ("NOISE",)
+    FUNCTION = "get_noise"
+    CATEGORY = "sampling/custom_sampling/noise"
+
+    def get_noise(self):
+        return (Noise_EmptyNoise(),)
+
+
+class RandomNoise(DisableNoise):
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":{
+                    "noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+                     }
+                }
+
+    def get_noise(self, noise_seed):
+        return (Noise_RandomNoise(noise_seed),)
+
+
+class SamplerCustomAdvanced:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"noise": ("NOISE", ),
+                    "guider": ("GUIDER", ),
+                    "sampler": ("SAMPLER", ),
+                    "sigmas": ("SIGMAS", ),
+                    "latent_image": ("LATENT", ),
+                     }
+                }
+
+    RETURN_TYPES = ("LATENT","LATENT")
+    RETURN_NAMES = ("output", "denoised_output")
+
+    FUNCTION = "sample"
+
+    CATEGORY = "sampling/custom_sampling"
+
+    def sample(self, noise, guider, sampler, sigmas, latent_image):
+        latent = latent_image
+        latent_image = latent["samples"]
+        latent = latent.copy()
+        latent_image = comfy.sample.fix_empty_latent_channels(guider.model_patcher, latent_image)
+        latent["samples"] = latent_image
+
+        noise_mask = None
+        if "noise_mask" in latent:
+            noise_mask = latent["noise_mask"]
+
+        x0_output = {}
+        callback = latent_preview.prepare_callback(guider.model_patcher, sigmas.shape[-1] - 1, x0_output)
+
+        disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
+        samples = guider.sample(noise.generate_noise(latent), latent_image, sampler, sigmas, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise.seed)
+        samples = samples.to(comfy.model_management.intermediate_device())
+
+        out = latent.copy()
+        out["samples"] = samples
+        if "x0" in x0_output:
+            out_denoised = latent.copy()
+            out_denoised["samples"] = guider.model_patcher.model.process_latent_out(x0_output["x0"].cpu())
+        else:
+            out_denoised = out
+        return (out, out_denoised)
+
+class AddNoise:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model": ("MODEL",),
+                     "noise": ("NOISE", ),
+                     "sigmas": ("SIGMAS", ),
+                     "latent_image": ("LATENT", ),
+                     }
+                }
+
+    RETURN_TYPES = ("LATENT",)
+
+    FUNCTION = "add_noise"
+
+    CATEGORY = "_for_testing/custom_sampling/noise"
+
+    def add_noise(self, model, noise, sigmas, latent_image):
+        if len(sigmas) == 0:
+            return latent_image
+
+        latent = latent_image
+        latent_image = latent["samples"]
+
+        noisy = noise.generate_noise(latent)
+
+        model_sampling = model.get_model_object("model_sampling")
+        process_latent_out = model.get_model_object("process_latent_out")
+        process_latent_in = model.get_model_object("process_latent_in")
+
+        if len(sigmas) > 1:
+            scale = torch.abs(sigmas[0] - sigmas[-1])
+        else:
+            scale = sigmas[0]
+
+        if torch.count_nonzero(latent_image) > 0: #Don't shift the empty latent image.
+            latent_image = process_latent_in(latent_image)
+        noisy = model_sampling.noise_scaling(scale, noisy, latent_image)
+        noisy = process_latent_out(noisy)
+        noisy = torch.nan_to_num(noisy, nan=0.0, posinf=0.0, neginf=0.0)
+
+        out = latent.copy()
+        out["samples"] = noisy
+        return (out,)
+
+
+NODE_CLASS_MAPPINGS = {
+    "SamplerCustom": SamplerCustom,
+    "BasicScheduler": BasicScheduler,
+    "KarrasScheduler": KarrasScheduler,
+    "ExponentialScheduler": ExponentialScheduler,
+    "PolyexponentialScheduler": PolyexponentialScheduler,
+    "VPScheduler": VPScheduler,
+    "BetaSamplingScheduler": BetaSamplingScheduler,
+    "SDTurboScheduler": SDTurboScheduler,
+    "KSamplerSelect": KSamplerSelect,
+    "SamplerEulerAncestral": SamplerEulerAncestral,
+    "SamplerEulerAncestralCFGPP": SamplerEulerAncestralCFGPP,
+    "SamplerLMS": SamplerLMS,
+    "SamplerDPMPP_3M_SDE": SamplerDPMPP_3M_SDE,
+    "SamplerDPMPP_2M_SDE": SamplerDPMPP_2M_SDE,
+    "SamplerDPMPP_SDE": SamplerDPMPP_SDE,
+    "SamplerDPMPP_2S_Ancestral": SamplerDPMPP_2S_Ancestral,
+    "SamplerDPMAdaptative": SamplerDPMAdaptative,
+    "SplitSigmas": SplitSigmas,
+    "SplitSigmasDenoise": SplitSigmasDenoise,
+    "FlipSigmas": FlipSigmas,
+
+    "CFGGuider": CFGGuider,
+    "DualCFGGuider": DualCFGGuider,
+    "BasicGuider": BasicGuider,
+    "RandomNoise": RandomNoise,
+    "DisableNoise": DisableNoise,
+    "AddNoise": AddNoise,
+    "SamplerCustomAdvanced": SamplerCustomAdvanced,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "SamplerEulerAncestralCFGPP": "SamplerEulerAncestralCFG++",
+}
diff --git a/ComfyUI/comfy_extras/nodes_differential_diffusion.py b/ComfyUI/comfy_extras/nodes_differential_diffusion.py
new file mode 100644
index 0000000000000000000000000000000000000000..98dbbf102dac861cfb65ed19ad1af499abf7465d
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_differential_diffusion.py
@@ -0,0 +1,42 @@
+# code adapted from https://github.com/exx8/differential-diffusion
+
+import torch
+
+class DifferentialDiffusion():
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"model": ("MODEL", ),
+                            }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "apply"
+    CATEGORY = "_for_testing"
+    INIT = False
+
+    def apply(self, model):
+        model = model.clone()
+        model.set_model_denoise_mask_function(self.forward)
+        return (model,)
+
+    def forward(self, sigma: torch.Tensor, denoise_mask: torch.Tensor, extra_options: dict):
+        model = extra_options["model"]
+        step_sigmas = extra_options["sigmas"]
+        sigma_to = model.inner_model.model_sampling.sigma_min
+        if step_sigmas[-1] > sigma_to:
+            sigma_to = step_sigmas[-1]
+        sigma_from = step_sigmas[0]
+
+        ts_from = model.inner_model.model_sampling.timestep(sigma_from)
+        ts_to = model.inner_model.model_sampling.timestep(sigma_to)
+        current_ts = model.inner_model.model_sampling.timestep(sigma[0])
+
+        threshold = (current_ts - ts_to) / (ts_from - ts_to)
+
+        return (denoise_mask >= threshold).to(denoise_mask.dtype)
+
+
+NODE_CLASS_MAPPINGS = {
+    "DifferentialDiffusion": DifferentialDiffusion,
+}
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "DifferentialDiffusion": "Differential Diffusion",
+}
diff --git a/ComfyUI/comfy_extras/nodes_flux.py b/ComfyUI/comfy_extras/nodes_flux.py
new file mode 100644
index 0000000000000000000000000000000000000000..b690432b55bfc0249db3daa924069bb9f0456d7c
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_flux.py
@@ -0,0 +1,47 @@
+import node_helpers
+
+class CLIPTextEncodeFlux:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "clip": ("CLIP", ),
+            "clip_l": ("STRING", {"multiline": True, "dynamicPrompts": True}),
+            "t5xxl": ("STRING", {"multiline": True, "dynamicPrompts": True}),
+            "guidance": ("FLOAT", {"default": 3.5, "min": 0.0, "max": 100.0, "step": 0.1}),
+            }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "encode"
+
+    CATEGORY = "advanced/conditioning/flux"
+
+    def encode(self, clip, clip_l, t5xxl, guidance):
+        tokens = clip.tokenize(clip_l)
+        tokens["t5xxl"] = clip.tokenize(t5xxl)["t5xxl"]
+
+        output = clip.encode_from_tokens(tokens, return_pooled=True, return_dict=True)
+        cond = output.pop("cond")
+        output["guidance"] = guidance
+        return ([[cond, output]], )
+
+class FluxGuidance:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "conditioning": ("CONDITIONING", ),
+            "guidance": ("FLOAT", {"default": 3.5, "min": 0.0, "max": 100.0, "step": 0.1}),
+            }}
+
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "append"
+
+    CATEGORY = "advanced/conditioning/flux"
+
+    def append(self, conditioning, guidance):
+        c = node_helpers.conditioning_set_values(conditioning, {"guidance": guidance})
+        return (c, )
+
+
+NODE_CLASS_MAPPINGS = {
+    "CLIPTextEncodeFlux": CLIPTextEncodeFlux,
+    "FluxGuidance": FluxGuidance,
+}
diff --git a/ComfyUI/comfy_extras/nodes_freelunch.py b/ComfyUI/comfy_extras/nodes_freelunch.py
new file mode 100644
index 0000000000000000000000000000000000000000..e3ac58447b29f604debb5bfc0aed3a5f100a4ae9
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_freelunch.py
@@ -0,0 +1,113 @@
+#code originally taken from: https://github.com/ChenyangSi/FreeU (under MIT License)
+
+import torch
+import logging
+
+def Fourier_filter(x, threshold, scale):
+    # FFT
+    x_freq = torch.fft.fftn(x.float(), dim=(-2, -1))
+    x_freq = torch.fft.fftshift(x_freq, dim=(-2, -1))
+
+    B, C, H, W = x_freq.shape
+    mask = torch.ones((B, C, H, W), device=x.device)
+
+    crow, ccol = H // 2, W //2
+    mask[..., crow - threshold:crow + threshold, ccol - threshold:ccol + threshold] = scale
+    x_freq = x_freq * mask
+
+    # IFFT
+    x_freq = torch.fft.ifftshift(x_freq, dim=(-2, -1))
+    x_filtered = torch.fft.ifftn(x_freq, dim=(-2, -1)).real
+
+    return x_filtered.to(x.dtype)
+
+
+class FreeU:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                             "b1": ("FLOAT", {"default": 1.1, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "b2": ("FLOAT", {"default": 1.2, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "s1": ("FLOAT", {"default": 0.9, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "s2": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "model_patches/unet"
+
+    def patch(self, model, b1, b2, s1, s2):
+        model_channels = model.model.model_config.unet_config["model_channels"]
+        scale_dict = {model_channels * 4: (b1, s1), model_channels * 2: (b2, s2)}
+        on_cpu_devices = {}
+
+        def output_block_patch(h, hsp, transformer_options):
+            scale = scale_dict.get(int(h.shape[1]), None)
+            if scale is not None:
+                h[:,:h.shape[1] // 2] = h[:,:h.shape[1] // 2] * scale[0]
+                if hsp.device not in on_cpu_devices:
+                    try:
+                        hsp = Fourier_filter(hsp, threshold=1, scale=scale[1])
+                    except:
+                        logging.warning("Device {} does not support the torch.fft functions used in the FreeU node, switching to CPU.".format(hsp.device))
+                        on_cpu_devices[hsp.device] = True
+                        hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device)
+                else:
+                    hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device)
+
+            return h, hsp
+
+        m = model.clone()
+        m.set_model_output_block_patch(output_block_patch)
+        return (m, )
+
+class FreeU_V2:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                             "b1": ("FLOAT", {"default": 1.3, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "b2": ("FLOAT", {"default": 1.4, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "s1": ("FLOAT", {"default": 0.9, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "s2": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "model_patches/unet"
+
+    def patch(self, model, b1, b2, s1, s2):
+        model_channels = model.model.model_config.unet_config["model_channels"]
+        scale_dict = {model_channels * 4: (b1, s1), model_channels * 2: (b2, s2)}
+        on_cpu_devices = {}
+
+        def output_block_patch(h, hsp, transformer_options):
+            scale = scale_dict.get(int(h.shape[1]), None)
+            if scale is not None:
+                hidden_mean = h.mean(1).unsqueeze(1)
+                B = hidden_mean.shape[0]
+                hidden_max, _ = torch.max(hidden_mean.view(B, -1), dim=-1, keepdim=True)
+                hidden_min, _ = torch.min(hidden_mean.view(B, -1), dim=-1, keepdim=True)
+                hidden_mean = (hidden_mean - hidden_min.unsqueeze(2).unsqueeze(3)) / (hidden_max - hidden_min).unsqueeze(2).unsqueeze(3)
+
+                h[:,:h.shape[1] // 2] = h[:,:h.shape[1] // 2] * ((scale[0] - 1 ) * hidden_mean + 1)
+
+                if hsp.device not in on_cpu_devices:
+                    try:
+                        hsp = Fourier_filter(hsp, threshold=1, scale=scale[1])
+                    except:
+                        logging.warning("Device {} does not support the torch.fft functions used in the FreeU node, switching to CPU.".format(hsp.device))
+                        on_cpu_devices[hsp.device] = True
+                        hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device)
+                else:
+                    hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device)
+
+            return h, hsp
+
+        m = model.clone()
+        m.set_model_output_block_patch(output_block_patch)
+        return (m, )
+
+NODE_CLASS_MAPPINGS = {
+    "FreeU": FreeU,
+    "FreeU_V2": FreeU_V2,
+}
diff --git a/ComfyUI/comfy_extras/nodes_gits.py b/ComfyUI/comfy_extras/nodes_gits.py
new file mode 100644
index 0000000000000000000000000000000000000000..7bfae4ce688721c3b671676c2fc92ed0708f499f
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_gits.py
@@ -0,0 +1,369 @@
+# from https://github.com/zju-pi/diff-sampler/tree/main/gits-main
+import numpy as np
+import torch
+
+def loglinear_interp(t_steps, num_steps):
+    """
+    Performs log-linear interpolation of a given array of decreasing numbers.
+    """
+    xs = np.linspace(0, 1, len(t_steps))
+    ys = np.log(t_steps[::-1])
+
+    new_xs = np.linspace(0, 1, num_steps)
+    new_ys = np.interp(new_xs, xs, ys)
+
+    interped_ys = np.exp(new_ys)[::-1].copy()
+    return interped_ys
+
+NOISE_LEVELS = {
+    0.80: [
+        [14.61464119, 7.49001646, 0.02916753],
+        [14.61464119, 11.54541874, 6.77309084, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 3.07277966, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 5.85520077, 2.05039096, 0.02916753],
+        [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 2.05039096, 0.02916753],
+        [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753],
+        [14.61464119, 12.96784878, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753],
+        [14.61464119, 13.76078796, 12.2308979, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.1956799, 1.98035145, 0.86115354, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.1956799, 1.98035145, 0.86115354, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.07277966, 1.84880662, 0.83188516, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.88507891, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.07277966, 1.84880662, 0.83188516, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.88507891, 7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.75677586, 2.84484982, 1.78698075, 0.803307, 0.02916753],
+    ],
+    0.85: [
+        [14.61464119, 7.49001646, 0.02916753],
+        [14.61464119, 7.49001646, 1.84880662, 0.02916753],
+        [14.61464119, 11.54541874, 6.77309084, 1.56271636, 0.02916753],
+        [14.61464119, 11.54541874, 7.11996698, 3.07277966, 1.24153244, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 5.09240818, 2.84484982, 0.95350921, 0.02916753],
+        [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.09240818, 2.84484982, 0.95350921, 0.02916753],
+        [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.58536053, 3.1956799, 1.84880662, 0.803307, 0.02916753],
+        [14.61464119, 12.96784878, 11.54541874, 8.75849152, 7.49001646, 5.58536053, 3.1956799, 1.84880662, 0.803307, 0.02916753],
+        [14.61464119, 12.96784878, 11.54541874, 8.75849152, 7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753],
+        [14.61464119, 13.76078796, 12.2308979, 10.90732002, 8.75849152, 7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753],
+        [14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.60512662, 2.6383388, 1.56271636, 0.72133851, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.88507891, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851, 0.02916753],
+    ],
+    0.90: [
+        [14.61464119, 6.77309084, 0.02916753],
+        [14.61464119, 7.49001646, 1.56271636, 0.02916753],
+        [14.61464119, 7.49001646, 3.07277966, 0.95350921, 0.02916753],
+        [14.61464119, 7.49001646, 4.86714602, 2.54230714, 0.89115214, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 4.86714602, 2.54230714, 0.89115214, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 5.09240818, 3.07277966, 1.61558151, 0.69515091, 0.02916753],
+        [14.61464119, 12.2308979, 8.75849152, 7.11996698, 4.86714602, 3.07277966, 1.61558151, 0.69515091, 0.02916753],
+        [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 2.95596409, 1.61558151, 0.69515091, 0.02916753],
+        [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.19988537, 1.24153244, 0.57119018, 0.02916753],
+        [14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.19988537, 1.24153244, 0.57119018, 0.02916753],
+        [14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.19988537, 1.24153244, 0.57119018, 0.02916753],
+        [14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.75677586, 2.84484982, 1.84880662, 1.08895338, 0.52423614, 0.02916753],
+        [14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.75677586, 2.84484982, 1.84880662, 1.08895338, 0.52423614, 0.02916753],
+        [14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.44769001, 5.58536053, 4.45427561, 3.32507086, 2.45070267, 1.61558151, 0.95350921, 0.45573691, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.44769001, 5.58536053, 4.45427561, 3.32507086, 2.45070267, 1.61558151, 0.95350921, 0.45573691, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.91689563, 3.07277966, 2.27973175, 1.56271636, 0.95350921, 0.45573691, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.91689563, 3.07277966, 2.27973175, 1.56271636, 0.95350921, 0.45573691, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.91689563, 3.07277966, 2.27973175, 1.56271636, 0.95350921, 0.45573691, 0.02916753],
+        [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818, 4.45427561, 3.60512662, 2.95596409, 2.19988537, 1.51179266, 0.89115214, 0.43325692, 0.02916753],
+    ],
+    0.95: [
+        [14.61464119, 6.77309084, 0.02916753],
+        [14.61464119, 6.77309084, 1.56271636, 0.02916753],
+        [14.61464119, 7.49001646, 2.84484982, 0.89115214, 0.02916753],
+        [14.61464119, 7.49001646, 4.86714602, 2.36326075, 0.803307, 0.02916753],
+        [14.61464119, 7.49001646, 4.86714602, 2.95596409, 1.56271636, 0.64427125, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 4.86714602, 2.95596409, 1.56271636, 0.64427125, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 4.86714602, 3.07277966, 1.91321158, 1.08895338, 0.50118381, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.07277966, 1.91321158, 1.08895338, 0.50118381, 0.02916753],
+        [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.07277966, 1.91321158, 1.08895338, 0.50118381, 0.02916753],
+        [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.19988537, 1.41535246, 0.803307, 0.38853383, 0.02916753],
+        [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.46139455, 2.6383388, 1.84880662, 1.24153244, 0.72133851, 0.34370604, 0.02916753],
+        [14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.46139455, 2.6383388, 1.84880662, 1.24153244, 0.72133851, 0.34370604, 0.02916753],
+        [14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 6.14220476, 4.86714602, 3.75677586, 2.95596409, 2.19988537, 1.56271636, 1.05362725, 0.64427125, 0.32104823, 0.02916753],
+        [14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 6.44769001, 5.58536053, 4.65472794, 3.60512662, 2.95596409, 2.19988537, 1.56271636, 1.05362725, 0.64427125, 0.32104823, 0.02916753],
+        [14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.44769001, 5.58536053, 4.65472794, 3.60512662, 2.95596409, 2.19988537, 1.56271636, 1.05362725, 0.64427125, 0.32104823, 0.02916753],
+        [14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.44769001, 5.58536053, 4.65472794, 3.75677586, 3.07277966, 2.45070267, 1.78698075, 1.24153244, 0.83188516, 0.50118381, 0.22545385, 0.02916753],
+        [14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818, 4.45427561, 3.60512662, 2.95596409, 2.36326075, 1.72759056, 1.24153244, 0.83188516, 0.50118381, 0.22545385, 0.02916753],
+        [14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818, 4.45427561, 3.60512662, 2.95596409, 2.36326075, 1.72759056, 1.24153244, 0.83188516, 0.50118381, 0.22545385, 0.02916753],
+        [14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818, 4.45427561, 3.75677586, 3.07277966, 2.45070267, 1.91321158, 1.46270394, 1.05362725, 0.72133851, 0.43325692, 0.19894916, 0.02916753],
+    ],
+    1.00: [
+        [14.61464119, 1.56271636, 0.02916753],
+        [14.61464119, 6.77309084, 0.95350921, 0.02916753],
+        [14.61464119, 6.77309084, 2.36326075, 0.803307, 0.02916753],
+        [14.61464119, 7.11996698, 3.07277966, 1.56271636, 0.59516323, 0.02916753],
+        [14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.41535246, 0.57119018, 0.02916753],
+        [14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.61558151, 0.86115354, 0.38853383, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 4.86714602, 2.84484982, 1.61558151, 0.86115354, 0.38853383, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 4.86714602, 3.07277966, 1.98035145, 1.24153244, 0.72133851, 0.34370604, 0.02916753],
+        [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.07277966, 1.98035145, 1.24153244, 0.72133851, 0.34370604, 0.02916753],
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+        [14.61464119, 2.36326075, 1.24153244, 0.803307, 0.59516323, 0.45573691, 0.36617002, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
+        [14.61464119, 2.36326075, 1.24153244, 0.803307, 0.59516323, 0.45573691, 0.38853383, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
+        [14.61464119, 2.45070267, 1.32549286, 0.86115354, 0.64427125, 0.50118381, 0.41087446, 0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
+        [14.61464119, 2.45070267, 1.36964464, 0.92192322, 0.69515091, 0.54755926, 0.45573691, 0.41087446, 0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
+        [14.61464119, 2.45070267, 1.41535246, 0.95350921, 0.72133851, 0.57119018, 0.4783645, 0.43325692, 0.38853383, 0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
+    ],
+}
+
+class GITSScheduler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"coeff": ("FLOAT", {"default": 1.20, "min": 0.80, "max": 1.50, "step": 0.05}),
+                     "steps": ("INT", {"default": 10, "min": 2, "max": 1000}),
+                     "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                      }
+               }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/schedulers"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, coeff, steps, denoise):
+        total_steps = steps
+        if denoise < 1.0:
+            if denoise <= 0.0:
+                return (torch.FloatTensor([]),)
+            total_steps = round(steps * denoise)
+
+        if steps <= 20:
+            sigmas = NOISE_LEVELS[round(coeff, 2)][steps-2][:]
+        else:
+            sigmas = NOISE_LEVELS[round(coeff, 2)][-1][:]
+            sigmas = loglinear_interp(sigmas, steps + 1)
+
+        sigmas = sigmas[-(total_steps + 1):]
+        sigmas[-1] = 0
+        return (torch.FloatTensor(sigmas), )
+
+NODE_CLASS_MAPPINGS = {
+    "GITSScheduler": GITSScheduler,
+}
diff --git a/ComfyUI/comfy_extras/nodes_hunyuan.py b/ComfyUI/comfy_extras/nodes_hunyuan.py
new file mode 100644
index 0000000000000000000000000000000000000000..b03eaf6a2044d6a9c05413b9ca9e0b985bbdd26e
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_hunyuan.py
@@ -0,0 +1,25 @@
+class CLIPTextEncodeHunyuanDiT:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "clip": ("CLIP", ),
+            "bert": ("STRING", {"multiline": True, "dynamicPrompts": True}),
+            "mt5xl": ("STRING", {"multiline": True, "dynamicPrompts": True}),
+            }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "encode"
+
+    CATEGORY = "advanced/conditioning"
+
+    def encode(self, clip, bert, mt5xl):
+        tokens = clip.tokenize(bert)
+        tokens["mt5xl"] = clip.tokenize(mt5xl)["mt5xl"]
+
+        output = clip.encode_from_tokens(tokens, return_pooled=True, return_dict=True)
+        cond = output.pop("cond")
+        return ([[cond, output]], )
+
+
+NODE_CLASS_MAPPINGS = {
+    "CLIPTextEncodeHunyuanDiT": CLIPTextEncodeHunyuanDiT,
+}
diff --git a/ComfyUI/comfy_extras/nodes_hypernetwork.py b/ComfyUI/comfy_extras/nodes_hypernetwork.py
new file mode 100644
index 0000000000000000000000000000000000000000..cafafa6ab5596c9d59e98f7e70afa3d3546c42fd
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_hypernetwork.py
@@ -0,0 +1,120 @@
+import comfy.utils
+import folder_paths
+import torch
+import logging
+
+def load_hypernetwork_patch(path, strength):
+    sd = comfy.utils.load_torch_file(path, safe_load=True)
+    activation_func = sd.get('activation_func', 'linear')
+    is_layer_norm = sd.get('is_layer_norm', False)
+    use_dropout = sd.get('use_dropout', False)
+    activate_output = sd.get('activate_output', False)
+    last_layer_dropout = sd.get('last_layer_dropout', False)
+
+    valid_activation = {
+        "linear": torch.nn.Identity,
+        "relu": torch.nn.ReLU,
+        "leakyrelu": torch.nn.LeakyReLU,
+        "elu": torch.nn.ELU,
+        "swish": torch.nn.Hardswish,
+        "tanh": torch.nn.Tanh,
+        "sigmoid": torch.nn.Sigmoid,
+        "softsign": torch.nn.Softsign,
+        "mish": torch.nn.Mish,
+    }
+
+    if activation_func not in valid_activation:
+        logging.error("Unsupported Hypernetwork format, if you report it I might implement it. {}   {} {} {} {} {}".format(path, activation_func, is_layer_norm, use_dropout, activate_output, last_layer_dropout))
+        return None
+
+    out = {}
+
+    for d in sd:
+        try:
+            dim = int(d)
+        except:
+            continue
+
+        output = []
+        for index in [0, 1]:
+            attn_weights = sd[dim][index]
+            keys = attn_weights.keys()
+
+            linears = filter(lambda a: a.endswith(".weight"), keys)
+            linears = list(map(lambda a: a[:-len(".weight")], linears))
+            layers = []
+
+            i = 0
+            while i < len(linears):
+                lin_name = linears[i]
+                last_layer = (i == (len(linears) - 1))
+                penultimate_layer = (i == (len(linears) - 2))
+
+                lin_weight = attn_weights['{}.weight'.format(lin_name)]
+                lin_bias = attn_weights['{}.bias'.format(lin_name)]
+                layer = torch.nn.Linear(lin_weight.shape[1], lin_weight.shape[0])
+                layer.load_state_dict({"weight": lin_weight, "bias": lin_bias})
+                layers.append(layer)
+                if activation_func != "linear":
+                    if (not last_layer) or (activate_output):
+                        layers.append(valid_activation[activation_func]())
+                if is_layer_norm:
+                    i += 1
+                    ln_name = linears[i]
+                    ln_weight = attn_weights['{}.weight'.format(ln_name)]
+                    ln_bias = attn_weights['{}.bias'.format(ln_name)]
+                    ln = torch.nn.LayerNorm(ln_weight.shape[0])
+                    ln.load_state_dict({"weight": ln_weight, "bias": ln_bias})
+                    layers.append(ln)
+                if use_dropout:
+                    if (not last_layer) and (not penultimate_layer or last_layer_dropout):
+                        layers.append(torch.nn.Dropout(p=0.3))
+                i += 1
+
+            output.append(torch.nn.Sequential(*layers))
+        out[dim] = torch.nn.ModuleList(output)
+
+    class hypernetwork_patch:
+        def __init__(self, hypernet, strength):
+            self.hypernet = hypernet
+            self.strength = strength
+        def __call__(self, q, k, v, extra_options):
+            dim = k.shape[-1]
+            if dim in self.hypernet:
+                hn = self.hypernet[dim]
+                k = k + hn[0](k) * self.strength
+                v = v + hn[1](v) * self.strength
+
+            return q, k, v
+
+        def to(self, device):
+            for d in self.hypernet.keys():
+                self.hypernet[d] = self.hypernet[d].to(device)
+            return self
+
+    return hypernetwork_patch(out, strength)
+
+class HypernetworkLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "hypernetwork_name": (folder_paths.get_filename_list("hypernetworks"), ),
+                              "strength": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "load_hypernetwork"
+
+    CATEGORY = "loaders"
+
+    def load_hypernetwork(self, model, hypernetwork_name, strength):
+        hypernetwork_path = folder_paths.get_full_path("hypernetworks", hypernetwork_name)
+        model_hypernetwork = model.clone()
+        patch = load_hypernetwork_patch(hypernetwork_path, strength)
+        if patch is not None:
+            model_hypernetwork.set_model_attn1_patch(patch)
+            model_hypernetwork.set_model_attn2_patch(patch)
+        return (model_hypernetwork,)
+
+NODE_CLASS_MAPPINGS = {
+    "HypernetworkLoader": HypernetworkLoader
+}
diff --git a/ComfyUI/comfy_extras/nodes_hypertile.py b/ComfyUI/comfy_extras/nodes_hypertile.py
new file mode 100644
index 0000000000000000000000000000000000000000..227133f3978e156cebd7496c2f442916c35afda7
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_hypertile.py
@@ -0,0 +1,83 @@
+#Taken from: https://github.com/tfernd/HyperTile/
+
+import math
+from einops import rearrange
+# Use torch rng for consistency across generations
+from torch import randint
+
+def random_divisor(value: int, min_value: int, /, max_options: int = 1) -> int:
+    min_value = min(min_value, value)
+
+    # All big divisors of value (inclusive)
+    divisors = [i for i in range(min_value, value + 1) if value % i == 0]
+
+    ns = [value // i for i in divisors[:max_options]]  # has at least 1 element
+
+    if len(ns) - 1 > 0:
+        idx = randint(low=0, high=len(ns) - 1, size=(1,)).item()
+    else:
+        idx = 0
+
+    return ns[idx]
+
+class HyperTile:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                             "tile_size": ("INT", {"default": 256, "min": 1, "max": 2048}),
+                             "swap_size": ("INT", {"default": 2, "min": 1, "max": 128}),
+                             "max_depth": ("INT", {"default": 0, "min": 0, "max": 10}),
+                             "scale_depth": ("BOOLEAN", {"default": False}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "model_patches/unet"
+
+    def patch(self, model, tile_size, swap_size, max_depth, scale_depth):
+        model_channels = model.model.model_config.unet_config["model_channels"]
+
+        latent_tile_size = max(32, tile_size) // 8
+        self.temp = None
+
+        def hypertile_in(q, k, v, extra_options):
+            model_chans = q.shape[-2]
+            orig_shape = extra_options['original_shape']
+            apply_to = []
+            for i in range(max_depth + 1):
+                apply_to.append((orig_shape[-2] / (2 ** i)) * (orig_shape[-1] / (2 ** i)))
+
+            if model_chans in apply_to:
+                shape = extra_options["original_shape"]
+                aspect_ratio = shape[-1] / shape[-2]
+
+                hw = q.size(1)
+                h, w = round(math.sqrt(hw * aspect_ratio)), round(math.sqrt(hw / aspect_ratio))
+
+                factor = (2 ** apply_to.index(model_chans)) if scale_depth else 1
+                nh = random_divisor(h, latent_tile_size * factor, swap_size)
+                nw = random_divisor(w, latent_tile_size * factor, swap_size)
+
+                if nh * nw > 1:
+                    q = rearrange(q, "b (nh h nw w) c -> (b nh nw) (h w) c", h=h // nh, w=w // nw, nh=nh, nw=nw)
+                    self.temp = (nh, nw, h, w)
+                return q, k, v
+
+            return q, k, v
+        def hypertile_out(out, extra_options):
+            if self.temp is not None:
+                nh, nw, h, w = self.temp
+                self.temp = None
+                out = rearrange(out, "(b nh nw) hw c -> b nh nw hw c", nh=nh, nw=nw)
+                out = rearrange(out, "b nh nw (h w) c -> b (nh h nw w) c", h=h // nh, w=w // nw)
+            return out
+
+
+        m = model.clone()
+        m.set_model_attn1_patch(hypertile_in)
+        m.set_model_attn1_output_patch(hypertile_out)
+        return (m, )
+
+NODE_CLASS_MAPPINGS = {
+    "HyperTile": HyperTile,
+}
diff --git a/ComfyUI/comfy_extras/nodes_images.py b/ComfyUI/comfy_extras/nodes_images.py
new file mode 100644
index 0000000000000000000000000000000000000000..af37666b29fcf5d6a572b715682fd031e28639bc
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_images.py
@@ -0,0 +1,195 @@
+import nodes
+import folder_paths
+from comfy.cli_args import args
+
+from PIL import Image
+from PIL.PngImagePlugin import PngInfo
+
+import numpy as np
+import json
+import os
+
+MAX_RESOLUTION = nodes.MAX_RESOLUTION
+
+class ImageCrop:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "image": ("IMAGE",),
+                              "width": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}),
+                              "height": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}),
+                              "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                              "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                              }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "crop"
+
+    CATEGORY = "image/transform"
+
+    def crop(self, image, width, height, x, y):
+        x = min(x, image.shape[2] - 1)
+        y = min(y, image.shape[1] - 1)
+        to_x = width + x
+        to_y = height + y
+        img = image[:,y:to_y, x:to_x, :]
+        return (img,)
+
+class RepeatImageBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "image": ("IMAGE",),
+                              "amount": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "repeat"
+
+    CATEGORY = "image/batch"
+
+    def repeat(self, image, amount):
+        s = image.repeat((amount, 1,1,1))
+        return (s,)
+
+class ImageFromBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "image": ("IMAGE",),
+                              "batch_index": ("INT", {"default": 0, "min": 0, "max": 4095}),
+                              "length": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "frombatch"
+
+    CATEGORY = "image/batch"
+
+    def frombatch(self, image, batch_index, length):
+        s_in = image
+        batch_index = min(s_in.shape[0] - 1, batch_index)
+        length = min(s_in.shape[0] - batch_index, length)
+        s = s_in[batch_index:batch_index + length].clone()
+        return (s,)
+
+class SaveAnimatedWEBP:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+        self.type = "output"
+        self.prefix_append = ""
+
+    methods = {"default": 4, "fastest": 0, "slowest": 6}
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"images": ("IMAGE", ),
+                     "filename_prefix": ("STRING", {"default": "ComfyUI"}),
+                     "fps": ("FLOAT", {"default": 6.0, "min": 0.01, "max": 1000.0, "step": 0.01}),
+                     "lossless": ("BOOLEAN", {"default": True}),
+                     "quality": ("INT", {"default": 80, "min": 0, "max": 100}),
+                     "method": (list(s.methods.keys()),),
+                     # "num_frames": ("INT", {"default": 0, "min": 0, "max": 8192}),
+                     },
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+                }
+
+    RETURN_TYPES = ()
+    FUNCTION = "save_images"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "image/animation"
+
+    def save_images(self, images, fps, filename_prefix, lossless, quality, method, num_frames=0, prompt=None, extra_pnginfo=None):
+        method = self.methods.get(method)
+        filename_prefix += self.prefix_append
+        full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0])
+        results = list()
+        pil_images = []
+        for image in images:
+            i = 255. * image.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+            pil_images.append(img)
+
+        metadata = pil_images[0].getexif()
+        if not args.disable_metadata:
+            if prompt is not None:
+                metadata[0x0110] = "prompt:{}".format(json.dumps(prompt))
+            if extra_pnginfo is not None:
+                inital_exif = 0x010f
+                for x in extra_pnginfo:
+                    metadata[inital_exif] = "{}:{}".format(x, json.dumps(extra_pnginfo[x]))
+                    inital_exif -= 1
+
+        if num_frames == 0:
+            num_frames = len(pil_images)
+
+        c = len(pil_images)
+        for i in range(0, c, num_frames):
+            file = f"{filename}_{counter:05}_.webp"
+            pil_images[i].save(os.path.join(full_output_folder, file), save_all=True, duration=int(1000.0/fps), append_images=pil_images[i + 1:i + num_frames], exif=metadata, lossless=lossless, quality=quality, method=method)
+            results.append({
+                "filename": file,
+                "subfolder": subfolder,
+                "type": self.type
+            })
+            counter += 1
+
+        animated = num_frames != 1
+        return { "ui": { "images": results, "animated": (animated,) } }
+
+class SaveAnimatedPNG:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+        self.type = "output"
+        self.prefix_append = ""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"images": ("IMAGE", ),
+                     "filename_prefix": ("STRING", {"default": "ComfyUI"}),
+                     "fps": ("FLOAT", {"default": 6.0, "min": 0.01, "max": 1000.0, "step": 0.01}),
+                     "compress_level": ("INT", {"default": 4, "min": 0, "max": 9})
+                     },
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+                }
+
+    RETURN_TYPES = ()
+    FUNCTION = "save_images"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "image/animation"
+
+    def save_images(self, images, fps, compress_level, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
+        filename_prefix += self.prefix_append
+        full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0])
+        results = list()
+        pil_images = []
+        for image in images:
+            i = 255. * image.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+            pil_images.append(img)
+
+        metadata = None
+        if not args.disable_metadata:
+            metadata = PngInfo()
+            if prompt is not None:
+                metadata.add(b"comf", "prompt".encode("latin-1", "strict") + b"\0" + json.dumps(prompt).encode("latin-1", "strict"), after_idat=True)
+            if extra_pnginfo is not None:
+                for x in extra_pnginfo:
+                    metadata.add(b"comf", x.encode("latin-1", "strict") + b"\0" + json.dumps(extra_pnginfo[x]).encode("latin-1", "strict"), after_idat=True)
+
+        file = f"{filename}_{counter:05}_.png"
+        pil_images[0].save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=compress_level, save_all=True, duration=int(1000.0/fps), append_images=pil_images[1:])
+        results.append({
+            "filename": file,
+            "subfolder": subfolder,
+            "type": self.type
+        })
+
+        return { "ui": { "images": results, "animated": (True,)} }
+
+NODE_CLASS_MAPPINGS = {
+    "ImageCrop": ImageCrop,
+    "RepeatImageBatch": RepeatImageBatch,
+    "ImageFromBatch": ImageFromBatch,
+    "SaveAnimatedWEBP": SaveAnimatedWEBP,
+    "SaveAnimatedPNG": SaveAnimatedPNG,
+}
diff --git a/ComfyUI/comfy_extras/nodes_ip2p.py b/ComfyUI/comfy_extras/nodes_ip2p.py
new file mode 100644
index 0000000000000000000000000000000000000000..c2e70a84c10ca5cc1b3ca853a97adc3c64fbb315
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_ip2p.py
@@ -0,0 +1,45 @@
+import torch
+
+class InstructPixToPixConditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"positive": ("CONDITIONING", ),
+                             "negative": ("CONDITIONING", ),
+                             "vae": ("VAE", ),
+                             "pixels": ("IMAGE", ),
+                             }}
+
+    RETURN_TYPES = ("CONDITIONING","CONDITIONING","LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/instructpix2pix"
+
+    def encode(self, positive, negative, pixels, vae):
+        x = (pixels.shape[1] // 8) * 8
+        y = (pixels.shape[2] // 8) * 8
+
+        if pixels.shape[1] != x or pixels.shape[2] != y:
+            x_offset = (pixels.shape[1] % 8) // 2
+            y_offset = (pixels.shape[2] % 8) // 2
+            pixels = pixels[:,x_offset:x + x_offset, y_offset:y + y_offset,:]
+
+        concat_latent = vae.encode(pixels)
+
+        out_latent = {}
+        out_latent["samples"] = torch.zeros_like(concat_latent)
+
+        out = []
+        for conditioning in [positive, negative]:
+            c = []
+            for t in conditioning:
+                d = t[1].copy()
+                d["concat_latent_image"] = concat_latent
+                n = [t[0], d]
+                c.append(n)
+            out.append(c)
+        return (out[0], out[1], out_latent)
+
+NODE_CLASS_MAPPINGS = {
+    "InstructPixToPixConditioning": InstructPixToPixConditioning,
+}
diff --git a/ComfyUI/comfy_extras/nodes_latent.py b/ComfyUI/comfy_extras/nodes_latent.py
new file mode 100644
index 0000000000000000000000000000000000000000..eabae0885163bbbe4d3a6a6e6e1ac9c81ae795c4
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_latent.py
@@ -0,0 +1,155 @@
+import comfy.utils
+import torch
+
+def reshape_latent_to(target_shape, latent):
+    if latent.shape[1:] != target_shape[1:]:
+        latent = comfy.utils.common_upscale(latent, target_shape[3], target_shape[2], "bilinear", "center")
+    return comfy.utils.repeat_to_batch_size(latent, target_shape[0])
+
+
+class LatentAdd:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples1": ("LATENT",), "samples2": ("LATENT",)}}
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "op"
+
+    CATEGORY = "latent/advanced"
+
+    def op(self, samples1, samples2):
+        samples_out = samples1.copy()
+
+        s1 = samples1["samples"]
+        s2 = samples2["samples"]
+
+        s2 = reshape_latent_to(s1.shape, s2)
+        samples_out["samples"] = s1 + s2
+        return (samples_out,)
+
+class LatentSubtract:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples1": ("LATENT",), "samples2": ("LATENT",)}}
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "op"
+
+    CATEGORY = "latent/advanced"
+
+    def op(self, samples1, samples2):
+        samples_out = samples1.copy()
+
+        s1 = samples1["samples"]
+        s2 = samples2["samples"]
+
+        s2 = reshape_latent_to(s1.shape, s2)
+        samples_out["samples"] = s1 - s2
+        return (samples_out,)
+
+class LatentMultiply:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",),
+                              "multiplier": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
+                             }}
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "op"
+
+    CATEGORY = "latent/advanced"
+
+    def op(self, samples, multiplier):
+        samples_out = samples.copy()
+
+        s1 = samples["samples"]
+        samples_out["samples"] = s1 * multiplier
+        return (samples_out,)
+
+class LatentInterpolate:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples1": ("LATENT",),
+                              "samples2": ("LATENT",),
+                              "ratio": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                              }}
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "op"
+
+    CATEGORY = "latent/advanced"
+
+    def op(self, samples1, samples2, ratio):
+        samples_out = samples1.copy()
+
+        s1 = samples1["samples"]
+        s2 = samples2["samples"]
+
+        s2 = reshape_latent_to(s1.shape, s2)
+
+        m1 = torch.linalg.vector_norm(s1, dim=(1))
+        m2 = torch.linalg.vector_norm(s2, dim=(1))
+
+        s1 = torch.nan_to_num(s1 / m1)
+        s2 = torch.nan_to_num(s2 / m2)
+
+        t = (s1 * ratio + s2 * (1.0 - ratio))
+        mt = torch.linalg.vector_norm(t, dim=(1))
+        st = torch.nan_to_num(t / mt)
+
+        samples_out["samples"] = st * (m1 * ratio + m2 * (1.0 - ratio))
+        return (samples_out,)
+
+class LatentBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples1": ("LATENT",), "samples2": ("LATENT",)}}
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "batch"
+
+    CATEGORY = "latent/batch"
+
+    def batch(self, samples1, samples2):
+        samples_out = samples1.copy()
+        s1 = samples1["samples"]
+        s2 = samples2["samples"]
+
+        if s1.shape[1:] != s2.shape[1:]:
+            s2 = comfy.utils.common_upscale(s2, s1.shape[3], s1.shape[2], "bilinear", "center")
+        s = torch.cat((s1, s2), dim=0)
+        samples_out["samples"] = s
+        samples_out["batch_index"] = samples1.get("batch_index", [x for x in range(0, s1.shape[0])]) + samples2.get("batch_index", [x for x in range(0, s2.shape[0])])
+        return (samples_out,)
+
+class LatentBatchSeedBehavior:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",),
+                              "seed_behavior": (["random", "fixed"],{"default": "fixed"}),}}
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "op"
+
+    CATEGORY = "latent/advanced"
+
+    def op(self, samples, seed_behavior):
+        samples_out = samples.copy()
+        latent = samples["samples"]
+        if seed_behavior == "random":
+            if 'batch_index' in samples_out:
+                samples_out.pop('batch_index')
+        elif seed_behavior == "fixed":
+            batch_number = samples_out.get("batch_index", [0])[0]
+            samples_out["batch_index"] = [batch_number] * latent.shape[0]
+
+        return (samples_out,)
+
+NODE_CLASS_MAPPINGS = {
+    "LatentAdd": LatentAdd,
+    "LatentSubtract": LatentSubtract,
+    "LatentMultiply": LatentMultiply,
+    "LatentInterpolate": LatentInterpolate,
+    "LatentBatch": LatentBatch,
+    "LatentBatchSeedBehavior": LatentBatchSeedBehavior,
+}
diff --git a/ComfyUI/comfy_extras/nodes_mask.py b/ComfyUI/comfy_extras/nodes_mask.py
new file mode 100644
index 0000000000000000000000000000000000000000..29589b4abade581e4c60ccc2cab23b582dd2f61a
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_mask.py
@@ -0,0 +1,382 @@
+import numpy as np
+import scipy.ndimage
+import torch
+import comfy.utils
+
+from nodes import MAX_RESOLUTION
+
+def composite(destination, source, x, y, mask = None, multiplier = 8, resize_source = False):
+    source = source.to(destination.device)
+    if resize_source:
+        source = torch.nn.functional.interpolate(source, size=(destination.shape[2], destination.shape[3]), mode="bilinear")
+
+    source = comfy.utils.repeat_to_batch_size(source, destination.shape[0])
+
+    x = max(-source.shape[3] * multiplier, min(x, destination.shape[3] * multiplier))
+    y = max(-source.shape[2] * multiplier, min(y, destination.shape[2] * multiplier))
+
+    left, top = (x // multiplier, y // multiplier)
+    right, bottom = (left + source.shape[3], top + source.shape[2],)
+
+    if mask is None:
+        mask = torch.ones_like(source)
+    else:
+        mask = mask.to(destination.device, copy=True)
+        mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(source.shape[2], source.shape[3]), mode="bilinear")
+        mask = comfy.utils.repeat_to_batch_size(mask, source.shape[0])
+
+    # calculate the bounds of the source that will be overlapping the destination
+    # this prevents the source trying to overwrite latent pixels that are out of bounds
+    # of the destination
+    visible_width, visible_height = (destination.shape[3] - left + min(0, x), destination.shape[2] - top + min(0, y),)
+
+    mask = mask[:, :, :visible_height, :visible_width]
+    inverse_mask = torch.ones_like(mask) - mask
+
+    source_portion = mask * source[:, :, :visible_height, :visible_width]
+    destination_portion = inverse_mask  * destination[:, :, top:bottom, left:right]
+
+    destination[:, :, top:bottom, left:right] = source_portion + destination_portion
+    return destination
+
+class LatentCompositeMasked:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "destination": ("LATENT",),
+                "source": ("LATENT",),
+                "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "resize_source": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "mask": ("MASK",),
+            }
+        }
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "composite"
+
+    CATEGORY = "latent"
+
+    def composite(self, destination, source, x, y, resize_source, mask = None):
+        output = destination.copy()
+        destination = destination["samples"].clone()
+        source = source["samples"]
+        output["samples"] = composite(destination, source, x, y, mask, 8, resize_source)
+        return (output,)
+
+class ImageCompositeMasked:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "destination": ("IMAGE",),
+                "source": ("IMAGE",),
+                "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "resize_source": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "mask": ("MASK",),
+            }
+        }
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "composite"
+
+    CATEGORY = "image"
+
+    def composite(self, destination, source, x, y, resize_source, mask = None):
+        destination = destination.clone().movedim(-1, 1)
+        output = composite(destination, source.movedim(-1, 1), x, y, mask, 1, resize_source).movedim(1, -1)
+        return (output,)
+
+class MaskToImage:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "mask": ("MASK",),
+                }
+        }
+
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "mask_to_image"
+
+    def mask_to_image(self, mask):
+        result = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])).movedim(1, -1).expand(-1, -1, -1, 3)
+        return (result,)
+
+class ImageToMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "image": ("IMAGE",),
+                    "channel": (["red", "green", "blue", "alpha"],),
+                }
+        }
+
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "image_to_mask"
+
+    def image_to_mask(self, image, channel):
+        channels = ["red", "green", "blue", "alpha"]
+        mask = image[:, :, :, channels.index(channel)]
+        return (mask,)
+
+class ImageColorToMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "image": ("IMAGE",),
+                    "color": ("INT", {"default": 0, "min": 0, "max": 0xFFFFFF, "step": 1, "display": "color"}),
+                }
+        }
+
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "image_to_mask"
+
+    def image_to_mask(self, image, color):
+        temp = (torch.clamp(image, 0, 1.0) * 255.0).round().to(torch.int)
+        temp = torch.bitwise_left_shift(temp[:,:,:,0], 16) + torch.bitwise_left_shift(temp[:,:,:,1], 8) + temp[:,:,:,2]
+        mask = torch.where(temp == color, 255, 0).float()
+        return (mask,)
+
+class SolidMask:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "value": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                "width": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}),
+                "height": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}),
+            }
+        }
+
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("MASK",)
+
+    FUNCTION = "solid"
+
+    def solid(self, value, width, height):
+        out = torch.full((1, height, width), value, dtype=torch.float32, device="cpu")
+        return (out,)
+
+class InvertMask:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "mask": ("MASK",),
+            }
+        }
+
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("MASK",)
+
+    FUNCTION = "invert"
+
+    def invert(self, mask):
+        out = 1.0 - mask
+        return (out,)
+
+class CropMask:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "width": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}),
+                "height": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}),
+            }
+        }
+
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("MASK",)
+
+    FUNCTION = "crop"
+
+    def crop(self, mask, x, y, width, height):
+        mask = mask.reshape((-1, mask.shape[-2], mask.shape[-1]))
+        out = mask[:, y:y + height, x:x + width]
+        return (out,)
+
+class MaskComposite:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "destination": ("MASK",),
+                "source": ("MASK",),
+                "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "operation": (["multiply", "add", "subtract", "and", "or", "xor"],),
+            }
+        }
+
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("MASK",)
+
+    FUNCTION = "combine"
+
+    def combine(self, destination, source, x, y, operation):
+        output = destination.reshape((-1, destination.shape[-2], destination.shape[-1])).clone()
+        source = source.reshape((-1, source.shape[-2], source.shape[-1]))
+
+        left, top = (x, y,)
+        right, bottom = (min(left + source.shape[-1], destination.shape[-1]), min(top + source.shape[-2], destination.shape[-2]))
+        visible_width, visible_height = (right - left, bottom - top,)
+
+        source_portion = source[:, :visible_height, :visible_width]
+        destination_portion = destination[:, top:bottom, left:right]
+
+        if operation == "multiply":
+            output[:, top:bottom, left:right] = destination_portion * source_portion
+        elif operation == "add":
+            output[:, top:bottom, left:right] = destination_portion + source_portion
+        elif operation == "subtract":
+            output[:, top:bottom, left:right] = destination_portion - source_portion
+        elif operation == "and":
+            output[:, top:bottom, left:right] = torch.bitwise_and(destination_portion.round().bool(), source_portion.round().bool()).float()
+        elif operation == "or":
+            output[:, top:bottom, left:right] = torch.bitwise_or(destination_portion.round().bool(), source_portion.round().bool()).float()
+        elif operation == "xor":
+            output[:, top:bottom, left:right] = torch.bitwise_xor(destination_portion.round().bool(), source_portion.round().bool()).float()
+
+        output = torch.clamp(output, 0.0, 1.0)
+
+        return (output,)
+
+class FeatherMask:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "left": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "top": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "right": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "bottom": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+            }
+        }
+
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("MASK",)
+
+    FUNCTION = "feather"
+
+    def feather(self, mask, left, top, right, bottom):
+        output = mask.reshape((-1, mask.shape[-2], mask.shape[-1])).clone()
+
+        left = min(left, output.shape[-1])
+        right = min(right, output.shape[-1])
+        top = min(top, output.shape[-2])
+        bottom = min(bottom, output.shape[-2])
+
+        for x in range(left):
+            feather_rate = (x + 1.0) / left
+            output[:, :, x] *= feather_rate
+
+        for x in range(right):
+            feather_rate = (x + 1) / right
+            output[:, :, -x] *= feather_rate
+
+        for y in range(top):
+            feather_rate = (y + 1) / top
+            output[:, y, :] *= feather_rate
+
+        for y in range(bottom):
+            feather_rate = (y + 1) / bottom
+            output[:, -y, :] *= feather_rate
+
+        return (output,)
+    
+class GrowMask:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "expand": ("INT", {"default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1}),
+                "tapered_corners": ("BOOLEAN", {"default": True}),
+            },
+        }
+    
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("MASK",)
+
+    FUNCTION = "expand_mask"
+
+    def expand_mask(self, mask, expand, tapered_corners):
+        c = 0 if tapered_corners else 1
+        kernel = np.array([[c, 1, c],
+                           [1, 1, 1],
+                           [c, 1, c]])
+        mask = mask.reshape((-1, mask.shape[-2], mask.shape[-1]))
+        out = []
+        for m in mask:
+            output = m.numpy()
+            for _ in range(abs(expand)):
+                if expand < 0:
+                    output = scipy.ndimage.grey_erosion(output, footprint=kernel)
+                else:
+                    output = scipy.ndimage.grey_dilation(output, footprint=kernel)
+            output = torch.from_numpy(output)
+            out.append(output)
+        return (torch.stack(out, dim=0),)
+
+class ThresholdMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "mask": ("MASK",),
+                    "value": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
+                }
+        }
+
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "image_to_mask"
+
+    def image_to_mask(self, mask, value):
+        mask = (mask > value).float()
+        return (mask,)
+
+
+NODE_CLASS_MAPPINGS = {
+    "LatentCompositeMasked": LatentCompositeMasked,
+    "ImageCompositeMasked": ImageCompositeMasked,
+    "MaskToImage": MaskToImage,
+    "ImageToMask": ImageToMask,
+    "ImageColorToMask": ImageColorToMask,
+    "SolidMask": SolidMask,
+    "InvertMask": InvertMask,
+    "CropMask": CropMask,
+    "MaskComposite": MaskComposite,
+    "FeatherMask": FeatherMask,
+    "GrowMask": GrowMask,
+    "ThresholdMask": ThresholdMask,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "ImageToMask": "Convert Image to Mask",
+    "MaskToImage": "Convert Mask to Image",
+}
diff --git a/ComfyUI/comfy_extras/nodes_model_advanced.py b/ComfyUI/comfy_extras/nodes_model_advanced.py
new file mode 100644
index 0000000000000000000000000000000000000000..918e6085aada9ef87ef04c47270317ab16246450
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_model_advanced.py
@@ -0,0 +1,326 @@
+import folder_paths
+import comfy.sd
+import comfy.model_sampling
+import comfy.latent_formats
+import nodes
+import torch
+
+class LCM(comfy.model_sampling.EPS):
+    def calculate_denoised(self, sigma, model_output, model_input):
+        timestep = self.timestep(sigma).view(sigma.shape[:1] + (1,) * (model_output.ndim - 1))
+        sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1))
+        x0 = model_input - model_output * sigma
+
+        sigma_data = 0.5
+        scaled_timestep = timestep * 10.0 #timestep_scaling
+
+        c_skip = sigma_data**2 / (scaled_timestep**2 + sigma_data**2)
+        c_out = scaled_timestep / (scaled_timestep**2 + sigma_data**2) ** 0.5
+
+        return c_out * x0 + c_skip * model_input
+
+class X0(comfy.model_sampling.EPS):
+    def calculate_denoised(self, sigma, model_output, model_input):
+        return model_output
+
+class ModelSamplingDiscreteDistilled(comfy.model_sampling.ModelSamplingDiscrete):
+    original_timesteps = 50
+
+    def __init__(self, model_config=None):
+        super().__init__(model_config)
+
+        self.skip_steps = self.num_timesteps // self.original_timesteps
+
+        sigmas_valid = torch.zeros((self.original_timesteps), dtype=torch.float32)
+        for x in range(self.original_timesteps):
+            sigmas_valid[self.original_timesteps - 1 - x] = self.sigmas[self.num_timesteps - 1 - x * self.skip_steps]
+
+        self.set_sigmas(sigmas_valid)
+
+    def timestep(self, sigma):
+        log_sigma = sigma.log()
+        dists = log_sigma.to(self.log_sigmas.device) - self.log_sigmas[:, None]
+        return (dists.abs().argmin(dim=0).view(sigma.shape) * self.skip_steps + (self.skip_steps - 1)).to(sigma.device)
+
+    def sigma(self, timestep):
+        t = torch.clamp(((timestep.float().to(self.log_sigmas.device) - (self.skip_steps - 1)) / self.skip_steps).float(), min=0, max=(len(self.sigmas) - 1))
+        low_idx = t.floor().long()
+        high_idx = t.ceil().long()
+        w = t.frac()
+        log_sigma = (1 - w) * self.log_sigmas[low_idx] + w * self.log_sigmas[high_idx]
+        return log_sigma.exp().to(timestep.device)
+
+
+def rescale_zero_terminal_snr_sigmas(sigmas):
+    alphas_cumprod = 1 / ((sigmas * sigmas) + 1)
+    alphas_bar_sqrt = alphas_cumprod.sqrt()
+
+    # Store old values.
+    alphas_bar_sqrt_0 = alphas_bar_sqrt[0].clone()
+    alphas_bar_sqrt_T = alphas_bar_sqrt[-1].clone()
+
+    # Shift so the last timestep is zero.
+    alphas_bar_sqrt -= (alphas_bar_sqrt_T)
+
+    # Scale so the first timestep is back to the old value.
+    alphas_bar_sqrt *= alphas_bar_sqrt_0 / (alphas_bar_sqrt_0 - alphas_bar_sqrt_T)
+
+    # Convert alphas_bar_sqrt to betas
+    alphas_bar = alphas_bar_sqrt**2  # Revert sqrt
+    alphas_bar[-1] = 4.8973451890853435e-08
+    return ((1 - alphas_bar) / alphas_bar) ** 0.5
+
+class ModelSamplingDiscrete:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "sampling": (["eps", "v_prediction", "lcm", "x0"],),
+                              "zsnr": ("BOOLEAN", {"default": False}),
+                              }}
+
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "advanced/model"
+
+    def patch(self, model, sampling, zsnr):
+        m = model.clone()
+
+        sampling_base = comfy.model_sampling.ModelSamplingDiscrete
+        if sampling == "eps":
+            sampling_type = comfy.model_sampling.EPS
+        elif sampling == "v_prediction":
+            sampling_type = comfy.model_sampling.V_PREDICTION
+        elif sampling == "lcm":
+            sampling_type = LCM
+            sampling_base = ModelSamplingDiscreteDistilled
+        elif sampling == "x0":
+            sampling_type = X0
+
+        class ModelSamplingAdvanced(sampling_base, sampling_type):
+            pass
+
+        model_sampling = ModelSamplingAdvanced(model.model.model_config)
+        if zsnr:
+            model_sampling.set_sigmas(rescale_zero_terminal_snr_sigmas(model_sampling.sigmas))
+
+        m.add_object_patch("model_sampling", model_sampling)
+        return (m, )
+
+class ModelSamplingStableCascade:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "shift": ("FLOAT", {"default": 2.0, "min": 0.0, "max": 100.0, "step":0.01}),
+                              }}
+
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "advanced/model"
+
+    def patch(self, model, shift):
+        m = model.clone()
+
+        sampling_base = comfy.model_sampling.StableCascadeSampling
+        sampling_type = comfy.model_sampling.EPS
+
+        class ModelSamplingAdvanced(sampling_base, sampling_type):
+            pass
+
+        model_sampling = ModelSamplingAdvanced(model.model.model_config)
+        model_sampling.set_parameters(shift)
+        m.add_object_patch("model_sampling", model_sampling)
+        return (m, )
+
+class ModelSamplingSD3:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "shift": ("FLOAT", {"default": 3.0, "min": 0.0, "max": 100.0, "step":0.01}),
+                              }}
+
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "advanced/model"
+
+    def patch(self, model, shift, multiplier=1000):
+        m = model.clone()
+
+        sampling_base = comfy.model_sampling.ModelSamplingDiscreteFlow
+        sampling_type = comfy.model_sampling.CONST
+
+        class ModelSamplingAdvanced(sampling_base, sampling_type):
+            pass
+
+        model_sampling = ModelSamplingAdvanced(model.model.model_config)
+        model_sampling.set_parameters(shift=shift, multiplier=multiplier)
+        m.add_object_patch("model_sampling", model_sampling)
+        return (m, )
+
+class ModelSamplingAuraFlow(ModelSamplingSD3):
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "shift": ("FLOAT", {"default": 1.73, "min": 0.0, "max": 100.0, "step":0.01}),
+                              }}
+
+    FUNCTION = "patch_aura"
+
+    def patch_aura(self, model, shift):
+        return self.patch(model, shift, multiplier=1.0)
+
+class ModelSamplingFlux:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "max_shift": ("FLOAT", {"default": 1.15, "min": 0.0, "max": 100.0, "step":0.01}),
+                              "base_shift": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 100.0, "step":0.01}),
+                              "width": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
+                              }}
+
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "advanced/model"
+
+    def patch(self, model, max_shift, base_shift, width, height):
+        m = model.clone()
+
+        x1 = 256
+        x2 = 4096
+        mm = (max_shift - base_shift) / (x2 - x1)
+        b = base_shift - mm * x1
+        shift = (width * height / (8 * 8 * 2 * 2)) * mm + b
+
+        sampling_base = comfy.model_sampling.ModelSamplingFlux
+        sampling_type = comfy.model_sampling.CONST
+
+        class ModelSamplingAdvanced(sampling_base, sampling_type):
+            pass
+
+        model_sampling = ModelSamplingAdvanced(model.model.model_config)
+        model_sampling.set_parameters(shift=shift)
+        m.add_object_patch("model_sampling", model_sampling)
+        return (m, )
+
+
+class ModelSamplingContinuousEDM:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "sampling": (["v_prediction", "edm_playground_v2.5", "eps"],),
+                              "sigma_max": ("FLOAT", {"default": 120.0, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
+                              "sigma_min": ("FLOAT", {"default": 0.002, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
+                              }}
+
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "advanced/model"
+
+    def patch(self, model, sampling, sigma_max, sigma_min):
+        m = model.clone()
+
+        latent_format = None
+        sigma_data = 1.0
+        if sampling == "eps":
+            sampling_type = comfy.model_sampling.EPS
+        elif sampling == "v_prediction":
+            sampling_type = comfy.model_sampling.V_PREDICTION
+        elif sampling == "edm_playground_v2.5":
+            sampling_type = comfy.model_sampling.EDM
+            sigma_data = 0.5
+            latent_format = comfy.latent_formats.SDXL_Playground_2_5()
+
+        class ModelSamplingAdvanced(comfy.model_sampling.ModelSamplingContinuousEDM, sampling_type):
+            pass
+
+        model_sampling = ModelSamplingAdvanced(model.model.model_config)
+        model_sampling.set_parameters(sigma_min, sigma_max, sigma_data)
+        m.add_object_patch("model_sampling", model_sampling)
+        if latent_format is not None:
+            m.add_object_patch("latent_format", latent_format)
+        return (m, )
+
+class ModelSamplingContinuousV:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "sampling": (["v_prediction"],),
+                              "sigma_max": ("FLOAT", {"default": 500.0, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
+                              "sigma_min": ("FLOAT", {"default": 0.03, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
+                              }}
+
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "advanced/model"
+
+    def patch(self, model, sampling, sigma_max, sigma_min):
+        m = model.clone()
+
+        latent_format = None
+        sigma_data = 1.0
+        if sampling == "v_prediction":
+            sampling_type = comfy.model_sampling.V_PREDICTION
+
+        class ModelSamplingAdvanced(comfy.model_sampling.ModelSamplingContinuousV, sampling_type):
+            pass
+
+        model_sampling = ModelSamplingAdvanced(model.model.model_config)
+        model_sampling.set_parameters(sigma_min, sigma_max, sigma_data)
+        m.add_object_patch("model_sampling", model_sampling)
+        return (m, )
+
+class RescaleCFG:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "multiplier": ("FLOAT", {"default": 0.7, "min": 0.0, "max": 1.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "advanced/model"
+
+    def patch(self, model, multiplier):
+        def rescale_cfg(args):
+            cond = args["cond"]
+            uncond = args["uncond"]
+            cond_scale = args["cond_scale"]
+            sigma = args["sigma"]
+            sigma = sigma.view(sigma.shape[:1] + (1,) * (cond.ndim - 1))
+            x_orig = args["input"]
+
+            #rescale cfg has to be done on v-pred model output
+            x = x_orig / (sigma * sigma + 1.0)
+            cond = ((x - (x_orig - cond)) * (sigma ** 2 + 1.0) ** 0.5) / (sigma)
+            uncond = ((x - (x_orig - uncond)) * (sigma ** 2 + 1.0) ** 0.5) / (sigma)
+
+            #rescalecfg
+            x_cfg = uncond + cond_scale * (cond - uncond)
+            ro_pos = torch.std(cond, dim=(1,2,3), keepdim=True)
+            ro_cfg = torch.std(x_cfg, dim=(1,2,3), keepdim=True)
+
+            x_rescaled = x_cfg * (ro_pos / ro_cfg)
+            x_final = multiplier * x_rescaled + (1.0 - multiplier) * x_cfg
+
+            return x_orig - (x - x_final * sigma / (sigma * sigma + 1.0) ** 0.5)
+
+        m = model.clone()
+        m.set_model_sampler_cfg_function(rescale_cfg)
+        return (m, )
+
+NODE_CLASS_MAPPINGS = {
+    "ModelSamplingDiscrete": ModelSamplingDiscrete,
+    "ModelSamplingContinuousEDM": ModelSamplingContinuousEDM,
+    "ModelSamplingContinuousV": ModelSamplingContinuousV,
+    "ModelSamplingStableCascade": ModelSamplingStableCascade,
+    "ModelSamplingSD3": ModelSamplingSD3,
+    "ModelSamplingAuraFlow": ModelSamplingAuraFlow,
+    "ModelSamplingFlux": ModelSamplingFlux,
+    "RescaleCFG": RescaleCFG,
+}
diff --git a/ComfyUI/comfy_extras/nodes_model_downscale.py b/ComfyUI/comfy_extras/nodes_model_downscale.py
new file mode 100644
index 0000000000000000000000000000000000000000..58b5073ec08c9937017ef3a1ae5e09ffdd3f0c89
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_model_downscale.py
@@ -0,0 +1,54 @@
+import torch
+import comfy.utils
+
+class PatchModelAddDownscale:
+    upscale_methods = ["bicubic", "nearest-exact", "bilinear", "area", "bislerp"]
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "block_number": ("INT", {"default": 3, "min": 1, "max": 32, "step": 1}),
+                              "downscale_factor": ("FLOAT", {"default": 2.0, "min": 0.1, "max": 9.0, "step": 0.001}),
+                              "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
+                              "end_percent": ("FLOAT", {"default": 0.35, "min": 0.0, "max": 1.0, "step": 0.001}),
+                              "downscale_after_skip": ("BOOLEAN", {"default": True}),
+                              "downscale_method": (s.upscale_methods,),
+                              "upscale_method": (s.upscale_methods,),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "_for_testing"
+
+    def patch(self, model, block_number, downscale_factor, start_percent, end_percent, downscale_after_skip, downscale_method, upscale_method):
+        model_sampling = model.get_model_object("model_sampling")
+        sigma_start = model_sampling.percent_to_sigma(start_percent)
+        sigma_end = model_sampling.percent_to_sigma(end_percent)
+
+        def input_block_patch(h, transformer_options):
+            if transformer_options["block"][1] == block_number:
+                sigma = transformer_options["sigmas"][0].item()
+                if sigma <= sigma_start and sigma >= sigma_end:
+                    h = comfy.utils.common_upscale(h, round(h.shape[-1] * (1.0 / downscale_factor)), round(h.shape[-2] * (1.0 / downscale_factor)), downscale_method, "disabled")
+            return h
+
+        def output_block_patch(h, hsp, transformer_options):
+            if h.shape[2] != hsp.shape[2]:
+                h = comfy.utils.common_upscale(h, hsp.shape[-1], hsp.shape[-2], upscale_method, "disabled")
+            return h, hsp
+
+        m = model.clone()
+        if downscale_after_skip:
+            m.set_model_input_block_patch_after_skip(input_block_patch)
+        else:
+            m.set_model_input_block_patch(input_block_patch)
+        m.set_model_output_block_patch(output_block_patch)
+        return (m, )
+
+NODE_CLASS_MAPPINGS = {
+    "PatchModelAddDownscale": PatchModelAddDownscale,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    # Sampling
+    "PatchModelAddDownscale": "PatchModelAddDownscale (Kohya Deep Shrink)",
+}
diff --git a/ComfyUI/comfy_extras/nodes_model_merging.py b/ComfyUI/comfy_extras/nodes_model_merging.py
new file mode 100644
index 0000000000000000000000000000000000000000..ccf601158d59ab707d07f1e438c739d4dbced131
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_model_merging.py
@@ -0,0 +1,371 @@
+import comfy.sd
+import comfy.utils
+import comfy.model_base
+import comfy.model_management
+import comfy.model_sampling
+
+import torch
+import folder_paths
+import json
+import os
+
+from comfy.cli_args import args
+
+class ModelMergeSimple:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model1": ("MODEL",),
+                              "model2": ("MODEL",),
+                              "ratio": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "merge"
+
+    CATEGORY = "advanced/model_merging"
+
+    def merge(self, model1, model2, ratio):
+        m = model1.clone()
+        kp = model2.get_key_patches("diffusion_model.")
+        for k in kp:
+            m.add_patches({k: kp[k]}, 1.0 - ratio, ratio)
+        return (m, )
+
+class ModelSubtract:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model1": ("MODEL",),
+                              "model2": ("MODEL",),
+                              "multiplier": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "merge"
+
+    CATEGORY = "advanced/model_merging"
+
+    def merge(self, model1, model2, multiplier):
+        m = model1.clone()
+        kp = model2.get_key_patches("diffusion_model.")
+        for k in kp:
+            m.add_patches({k: kp[k]}, - multiplier, multiplier)
+        return (m, )
+
+class ModelAdd:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model1": ("MODEL",),
+                              "model2": ("MODEL",),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "merge"
+
+    CATEGORY = "advanced/model_merging"
+
+    def merge(self, model1, model2):
+        m = model1.clone()
+        kp = model2.get_key_patches("diffusion_model.")
+        for k in kp:
+            m.add_patches({k: kp[k]}, 1.0, 1.0)
+        return (m, )
+
+
+class CLIPMergeSimple:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip1": ("CLIP",),
+                              "clip2": ("CLIP",),
+                              "ratio": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("CLIP",)
+    FUNCTION = "merge"
+
+    CATEGORY = "advanced/model_merging"
+
+    def merge(self, clip1, clip2, ratio):
+        m = clip1.clone()
+        kp = clip2.get_key_patches()
+        for k in kp:
+            if k.endswith(".position_ids") or k.endswith(".logit_scale"):
+                continue
+            m.add_patches({k: kp[k]}, 1.0 - ratio, ratio)
+        return (m, )
+
+
+class CLIPSubtract:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip1": ("CLIP",),
+                              "clip2": ("CLIP",),
+                              "multiplier": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("CLIP",)
+    FUNCTION = "merge"
+
+    CATEGORY = "advanced/model_merging"
+
+    def merge(self, clip1, clip2, multiplier):
+        m = clip1.clone()
+        kp = clip2.get_key_patches()
+        for k in kp:
+            if k.endswith(".position_ids") or k.endswith(".logit_scale"):
+                continue
+            m.add_patches({k: kp[k]}, - multiplier, multiplier)
+        return (m, )
+
+
+class CLIPAdd:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip1": ("CLIP",),
+                              "clip2": ("CLIP",),
+                              }}
+    RETURN_TYPES = ("CLIP",)
+    FUNCTION = "merge"
+
+    CATEGORY = "advanced/model_merging"
+
+    def merge(self, clip1, clip2):
+        m = clip1.clone()
+        kp = clip2.get_key_patches()
+        for k in kp:
+            if k.endswith(".position_ids") or k.endswith(".logit_scale"):
+                continue
+            m.add_patches({k: kp[k]}, 1.0, 1.0)
+        return (m, )
+
+
+class ModelMergeBlocks:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model1": ("MODEL",),
+                              "model2": ("MODEL",),
+                              "input": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                              "middle": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                              "out": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "merge"
+
+    CATEGORY = "advanced/model_merging"
+
+    def merge(self, model1, model2, **kwargs):
+        m = model1.clone()
+        kp = model2.get_key_patches("diffusion_model.")
+        default_ratio = next(iter(kwargs.values()))
+
+        for k in kp:
+            ratio = default_ratio
+            k_unet = k[len("diffusion_model."):]
+
+            last_arg_size = 0
+            for arg in kwargs:
+                if k_unet.startswith(arg) and last_arg_size < len(arg):
+                    ratio = kwargs[arg]
+                    last_arg_size = len(arg)
+
+            m.add_patches({k: kp[k]}, 1.0 - ratio, ratio)
+        return (m, )
+
+def save_checkpoint(model, clip=None, vae=None, clip_vision=None, filename_prefix=None, output_dir=None, prompt=None, extra_pnginfo=None):
+    full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, output_dir)
+    prompt_info = ""
+    if prompt is not None:
+        prompt_info = json.dumps(prompt)
+
+    metadata = {}
+
+    enable_modelspec = True
+    if isinstance(model.model, comfy.model_base.SDXL):
+        if isinstance(model.model, comfy.model_base.SDXL_instructpix2pix):
+            metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-edit"
+        else:
+            metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-base"
+    elif isinstance(model.model, comfy.model_base.SDXLRefiner):
+        metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-refiner"
+    elif isinstance(model.model, comfy.model_base.SVD_img2vid):
+        metadata["modelspec.architecture"] = "stable-video-diffusion-img2vid-v1"
+    elif isinstance(model.model, comfy.model_base.SD3):
+        metadata["modelspec.architecture"] = "stable-diffusion-v3-medium" #TODO: other SD3 variants
+    else:
+        enable_modelspec = False
+
+    if enable_modelspec:
+        metadata["modelspec.sai_model_spec"] = "1.0.0"
+        metadata["modelspec.implementation"] = "sgm"
+        metadata["modelspec.title"] = "{} {}".format(filename, counter)
+
+    #TODO:
+    # "stable-diffusion-v1", "stable-diffusion-v1-inpainting", "stable-diffusion-v2-512",
+    # "stable-diffusion-v2-768-v", "stable-diffusion-v2-unclip-l", "stable-diffusion-v2-unclip-h",
+    # "v2-inpainting"
+
+    extra_keys = {}
+    model_sampling = model.get_model_object("model_sampling")
+    if isinstance(model_sampling, comfy.model_sampling.ModelSamplingContinuousEDM):
+        if isinstance(model_sampling, comfy.model_sampling.V_PREDICTION):
+            extra_keys["edm_vpred.sigma_max"] = torch.tensor(model_sampling.sigma_max).float()
+            extra_keys["edm_vpred.sigma_min"] = torch.tensor(model_sampling.sigma_min).float()
+
+    if model.model.model_type == comfy.model_base.ModelType.EPS:
+        metadata["modelspec.predict_key"] = "epsilon"
+    elif model.model.model_type == comfy.model_base.ModelType.V_PREDICTION:
+        metadata["modelspec.predict_key"] = "v"
+
+    if not args.disable_metadata:
+        metadata["prompt"] = prompt_info
+        if extra_pnginfo is not None:
+            for x in extra_pnginfo:
+                metadata[x] = json.dumps(extra_pnginfo[x])
+
+    output_checkpoint = f"{filename}_{counter:05}_.safetensors"
+    output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
+
+    comfy.sd.save_checkpoint(output_checkpoint, model, clip, vae, clip_vision, metadata=metadata, extra_keys=extra_keys)
+
+class CheckpointSave:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "clip": ("CLIP",),
+                              "vae": ("VAE",),
+                              "filename_prefix": ("STRING", {"default": "checkpoints/ComfyUI"}),},
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},}
+    RETURN_TYPES = ()
+    FUNCTION = "save"
+    OUTPUT_NODE = True
+
+    CATEGORY = "advanced/model_merging"
+
+    def save(self, model, clip, vae, filename_prefix, prompt=None, extra_pnginfo=None):
+        save_checkpoint(model, clip=clip, vae=vae, filename_prefix=filename_prefix, output_dir=self.output_dir, prompt=prompt, extra_pnginfo=extra_pnginfo)
+        return {}
+
+class CLIPSave:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip": ("CLIP",),
+                              "filename_prefix": ("STRING", {"default": "clip/ComfyUI"}),},
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},}
+    RETURN_TYPES = ()
+    FUNCTION = "save"
+    OUTPUT_NODE = True
+
+    CATEGORY = "advanced/model_merging"
+
+    def save(self, clip, filename_prefix, prompt=None, extra_pnginfo=None):
+        prompt_info = ""
+        if prompt is not None:
+            prompt_info = json.dumps(prompt)
+
+        metadata = {}
+        if not args.disable_metadata:
+            metadata["format"] = "pt"
+            metadata["prompt"] = prompt_info
+            if extra_pnginfo is not None:
+                for x in extra_pnginfo:
+                    metadata[x] = json.dumps(extra_pnginfo[x])
+
+        comfy.model_management.load_models_gpu([clip.load_model()], force_patch_weights=True)
+        clip_sd = clip.get_sd()
+
+        for prefix in ["clip_l.", "clip_g.", ""]:
+            k = list(filter(lambda a: a.startswith(prefix), clip_sd.keys()))
+            current_clip_sd = {}
+            for x in k:
+                current_clip_sd[x] = clip_sd.pop(x)
+            if len(current_clip_sd) == 0:
+                continue
+
+            p = prefix[:-1]
+            replace_prefix = {}
+            filename_prefix_ = filename_prefix
+            if len(p) > 0:
+                filename_prefix_ = "{}_{}".format(filename_prefix_, p)
+                replace_prefix[prefix] = ""
+            replace_prefix["transformer."] = ""
+
+            full_output_folder, filename, counter, subfolder, filename_prefix_ = folder_paths.get_save_image_path(filename_prefix_, self.output_dir)
+
+            output_checkpoint = f"{filename}_{counter:05}_.safetensors"
+            output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
+
+            current_clip_sd = comfy.utils.state_dict_prefix_replace(current_clip_sd, replace_prefix)
+
+            comfy.utils.save_torch_file(current_clip_sd, output_checkpoint, metadata=metadata)
+        return {}
+
+class VAESave:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "vae": ("VAE",),
+                              "filename_prefix": ("STRING", {"default": "vae/ComfyUI_vae"}),},
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},}
+    RETURN_TYPES = ()
+    FUNCTION = "save"
+    OUTPUT_NODE = True
+
+    CATEGORY = "advanced/model_merging"
+
+    def save(self, vae, filename_prefix, prompt=None, extra_pnginfo=None):
+        full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
+        prompt_info = ""
+        if prompt is not None:
+            prompt_info = json.dumps(prompt)
+
+        metadata = {}
+        if not args.disable_metadata:
+            metadata["prompt"] = prompt_info
+            if extra_pnginfo is not None:
+                for x in extra_pnginfo:
+                    metadata[x] = json.dumps(extra_pnginfo[x])
+
+        output_checkpoint = f"{filename}_{counter:05}_.safetensors"
+        output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
+
+        comfy.utils.save_torch_file(vae.get_sd(), output_checkpoint, metadata=metadata)
+        return {}
+
+class ModelSave:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "filename_prefix": ("STRING", {"default": "diffusion_models/ComfyUI"}),},
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},}
+    RETURN_TYPES = ()
+    FUNCTION = "save"
+    OUTPUT_NODE = True
+
+    CATEGORY = "advanced/model_merging"
+
+    def save(self, model, filename_prefix, prompt=None, extra_pnginfo=None):
+        save_checkpoint(model, filename_prefix=filename_prefix, output_dir=self.output_dir, prompt=prompt, extra_pnginfo=extra_pnginfo)
+        return {}
+
+NODE_CLASS_MAPPINGS = {
+    "ModelMergeSimple": ModelMergeSimple,
+    "ModelMergeBlocks": ModelMergeBlocks,
+    "ModelMergeSubtract": ModelSubtract,
+    "ModelMergeAdd": ModelAdd,
+    "CheckpointSave": CheckpointSave,
+    "CLIPMergeSimple": CLIPMergeSimple,
+    "CLIPMergeSubtract": CLIPSubtract,
+    "CLIPMergeAdd": CLIPAdd,
+    "CLIPSave": CLIPSave,
+    "VAESave": VAESave,
+    "ModelSave": ModelSave,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "CheckpointSave": "Save Checkpoint",
+}
diff --git a/ComfyUI/comfy_extras/nodes_model_merging_model_specific.py b/ComfyUI/comfy_extras/nodes_model_merging_model_specific.py
new file mode 100644
index 0000000000000000000000000000000000000000..9557d9b1fa225b9cd62b24d0678dafafbc20d19b
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_model_merging_model_specific.py
@@ -0,0 +1,110 @@
+import comfy_extras.nodes_model_merging
+
+class ModelMergeSD1(comfy_extras.nodes_model_merging.ModelMergeBlocks):
+    CATEGORY = "advanced/model_merging/model_specific"
+    @classmethod
+    def INPUT_TYPES(s):
+        arg_dict = { "model1": ("MODEL",),
+                              "model2": ("MODEL",)}
+
+        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})
+
+        arg_dict["time_embed."] = argument
+        arg_dict["label_emb."] = argument
+
+        for i in range(12):
+            arg_dict["input_blocks.{}.".format(i)] = argument
+
+        for i in range(3):
+            arg_dict["middle_block.{}.".format(i)] = argument
+
+        for i in range(12):
+            arg_dict["output_blocks.{}.".format(i)] = argument
+
+        arg_dict["out."] = argument
+
+        return {"required": arg_dict}
+
+
+class ModelMergeSDXL(comfy_extras.nodes_model_merging.ModelMergeBlocks):
+    CATEGORY = "advanced/model_merging/model_specific"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        arg_dict = { "model1": ("MODEL",),
+                              "model2": ("MODEL",)}
+
+        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})
+
+        arg_dict["time_embed."] = argument
+        arg_dict["label_emb."] = argument
+
+        for i in range(9):
+            arg_dict["input_blocks.{}".format(i)] = argument
+
+        for i in range(3):
+            arg_dict["middle_block.{}".format(i)] = argument
+
+        for i in range(9):
+            arg_dict["output_blocks.{}".format(i)] = argument
+
+        arg_dict["out."] = argument
+
+        return {"required": arg_dict}
+
+class ModelMergeSD3_2B(comfy_extras.nodes_model_merging.ModelMergeBlocks):
+    CATEGORY = "advanced/model_merging/model_specific"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        arg_dict = { "model1": ("MODEL",),
+                              "model2": ("MODEL",)}
+
+        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})
+
+        arg_dict["pos_embed."] = argument
+        arg_dict["x_embedder."] = argument
+        arg_dict["context_embedder."] = argument
+        arg_dict["y_embedder."] = argument
+        arg_dict["t_embedder."] = argument
+
+        for i in range(24):
+            arg_dict["joint_blocks.{}.".format(i)] = argument
+
+        arg_dict["final_layer."] = argument
+
+        return {"required": arg_dict}
+
+class ModelMergeFlux1(comfy_extras.nodes_model_merging.ModelMergeBlocks):
+    CATEGORY = "advanced/model_merging/model_specific"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        arg_dict = { "model1": ("MODEL",),
+                              "model2": ("MODEL",)}
+
+        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})
+
+        arg_dict["img_in."] = argument
+        arg_dict["time_in."] = argument
+        arg_dict["guidance_in"] = argument
+        arg_dict["vector_in."] = argument
+        arg_dict["txt_in."] = argument
+
+        for i in range(19):
+            arg_dict["double_blocks.{}.".format(i)] = argument
+
+        for i in range(38):
+            arg_dict["single_blocks.{}.".format(i)] = argument
+
+        arg_dict["final_layer."] = argument
+
+        return {"required": arg_dict}
+
+NODE_CLASS_MAPPINGS = {
+    "ModelMergeSD1": ModelMergeSD1,
+    "ModelMergeSD2": ModelMergeSD1, #SD1 and SD2 have the same blocks
+    "ModelMergeSDXL": ModelMergeSDXL,
+    "ModelMergeSD3_2B": ModelMergeSD3_2B,
+    "ModelMergeFlux1": ModelMergeFlux1,
+}
diff --git a/ComfyUI/comfy_extras/nodes_morphology.py b/ComfyUI/comfy_extras/nodes_morphology.py
new file mode 100644
index 0000000000000000000000000000000000000000..071521d879afe8f5cc956bd8b80d5dddd3f23d1a
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_morphology.py
@@ -0,0 +1,49 @@
+import torch
+import comfy.model_management
+
+from kornia.morphology import dilation, erosion, opening, closing, gradient, top_hat, bottom_hat
+
+
+class Morphology:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"image": ("IMAGE",),
+                                "operation": (["erode",  "dilate", "open", "close", "gradient", "bottom_hat", "top_hat"],),
+                                "kernel_size": ("INT", {"default": 3, "min": 3, "max": 999, "step": 1}),
+                                }}
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "process"
+
+    CATEGORY = "image/postprocessing"
+
+    def process(self, image, operation, kernel_size):
+        device = comfy.model_management.get_torch_device()
+        kernel = torch.ones(kernel_size, kernel_size, device=device)
+        image_k = image.to(device).movedim(-1, 1)
+        if operation == "erode":
+            output = erosion(image_k, kernel)
+        elif operation == "dilate":
+            output = dilation(image_k, kernel)
+        elif operation == "open":
+            output = opening(image_k, kernel)
+        elif operation == "close":
+            output = closing(image_k, kernel)
+        elif operation == "gradient":
+            output = gradient(image_k, kernel)
+        elif operation == "top_hat":
+            output = top_hat(image_k, kernel)
+        elif operation == "bottom_hat":
+            output = bottom_hat(image_k, kernel)
+        else:
+            raise ValueError(f"Invalid operation {operation} for morphology. Must be one of 'erode', 'dilate', 'open', 'close', 'gradient', 'tophat', 'bottomhat'")
+        img_out = output.to(comfy.model_management.intermediate_device()).movedim(1, -1)
+        return (img_out,)
+
+NODE_CLASS_MAPPINGS = {
+    "Morphology": Morphology,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "Morphology": "ImageMorphology",
+}
\ No newline at end of file
diff --git a/ComfyUI/comfy_extras/nodes_pag.py b/ComfyUI/comfy_extras/nodes_pag.py
new file mode 100644
index 0000000000000000000000000000000000000000..eb28196f41c56fd45fda051a42d0814b96558fb8
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_pag.py
@@ -0,0 +1,56 @@
+#Modified/simplified version of the node from: https://github.com/pamparamm/sd-perturbed-attention
+#If you want the one with more options see the above repo.
+
+#My modified one here is more basic but has less chances of breaking with ComfyUI updates.
+
+import comfy.model_patcher
+import comfy.samplers
+
+class PerturbedAttentionGuidance:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "model": ("MODEL",),
+                "scale": ("FLOAT", {"default": 3.0, "min": 0.0, "max": 100.0, "step": 0.01, "round": 0.01}),
+            }
+        }
+
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "model_patches/unet"
+
+    def patch(self, model, scale):
+        unet_block = "middle"
+        unet_block_id = 0
+        m = model.clone()
+
+        def perturbed_attention(q, k, v, extra_options, mask=None):
+            return v
+
+        def post_cfg_function(args):
+            model = args["model"]
+            cond_pred = args["cond_denoised"]
+            cond = args["cond"]
+            cfg_result = args["denoised"]
+            sigma = args["sigma"]
+            model_options = args["model_options"].copy()
+            x = args["input"]
+
+            if scale == 0:
+                return cfg_result
+
+            # Replace Self-attention with PAG
+            model_options = comfy.model_patcher.set_model_options_patch_replace(model_options, perturbed_attention, "attn1", unet_block, unet_block_id)
+            (pag,) = comfy.samplers.calc_cond_batch(model, [cond], x, sigma, model_options)
+
+            return cfg_result + (cond_pred - pag) * scale
+
+        m.set_model_sampler_post_cfg_function(post_cfg_function)
+
+        return (m,)
+
+NODE_CLASS_MAPPINGS = {
+    "PerturbedAttentionGuidance": PerturbedAttentionGuidance,
+}
diff --git a/ComfyUI/comfy_extras/nodes_perpneg.py b/ComfyUI/comfy_extras/nodes_perpneg.py
new file mode 100644
index 0000000000000000000000000000000000000000..546276aa1542ebbdbfc8df93ac96476fb049bb1e
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_perpneg.py
@@ -0,0 +1,128 @@
+import torch
+import comfy.model_management
+import comfy.sampler_helpers
+import comfy.samplers
+import comfy.utils
+import node_helpers
+
+def perp_neg(x, noise_pred_pos, noise_pred_neg, noise_pred_nocond, neg_scale, cond_scale):
+    pos = noise_pred_pos - noise_pred_nocond
+    neg = noise_pred_neg - noise_pred_nocond
+
+    perp = neg - ((torch.mul(neg, pos).sum())/(torch.norm(pos)**2)) * pos
+    perp_neg = perp * neg_scale
+    cfg_result = noise_pred_nocond + cond_scale*(pos - perp_neg)
+    return cfg_result
+
+#TODO: This node should be removed, it has been replaced with PerpNegGuider
+class PerpNeg:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"model": ("MODEL", ),
+                             "empty_conditioning": ("CONDITIONING", ),
+                             "neg_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01}),
+                            }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "_for_testing"
+
+    def patch(self, model, empty_conditioning, neg_scale):
+        m = model.clone()
+        nocond = comfy.sampler_helpers.convert_cond(empty_conditioning)
+
+        def cfg_function(args):
+            model = args["model"]
+            noise_pred_pos = args["cond_denoised"]
+            noise_pred_neg = args["uncond_denoised"]
+            cond_scale = args["cond_scale"]
+            x = args["input"]
+            sigma = args["sigma"]
+            model_options = args["model_options"]
+            nocond_processed = comfy.samplers.encode_model_conds(model.extra_conds, nocond, x, x.device, "negative")
+
+            (noise_pred_nocond,) = comfy.samplers.calc_cond_batch(model, [nocond_processed], x, sigma, model_options)
+
+            cfg_result = x - perp_neg(x, noise_pred_pos, noise_pred_neg, noise_pred_nocond, neg_scale, cond_scale)
+            return cfg_result
+
+        m.set_model_sampler_cfg_function(cfg_function)
+
+        return (m, )
+
+
+class Guider_PerpNeg(comfy.samplers.CFGGuider):
+    def set_conds(self, positive, negative, empty_negative_prompt):
+        empty_negative_prompt = node_helpers.conditioning_set_values(empty_negative_prompt, {"prompt_type": "negative"})
+        self.inner_set_conds({"positive": positive, "empty_negative_prompt": empty_negative_prompt, "negative": negative})
+
+    def set_cfg(self, cfg, neg_scale):
+        self.cfg = cfg
+        self.neg_scale = neg_scale
+
+    def predict_noise(self, x, timestep, model_options={}, seed=None):
+        # in CFGGuider.predict_noise, we call sampling_function(), which uses cfg_function() to compute pos & neg
+        # but we'd rather do a single batch of sampling pos, neg, and empty, so we call calc_cond_batch([pos,neg,empty]) directly
+        
+        positive_cond = self.conds.get("positive", None)
+        negative_cond = self.conds.get("negative", None)
+        empty_cond = self.conds.get("empty_negative_prompt", None)
+
+        (noise_pred_pos, noise_pred_neg, noise_pred_empty) = \
+            comfy.samplers.calc_cond_batch(self.inner_model, [positive_cond, negative_cond, empty_cond], x, timestep, model_options)
+        cfg_result = perp_neg(x, noise_pred_pos, noise_pred_neg, noise_pred_empty, self.neg_scale, self.cfg)
+
+        # normally this would be done in cfg_function, but we skipped 
+        # that for efficiency: we can compute the noise predictions in
+        # a single call to calc_cond_batch() (rather than two)
+        # so we replicate the hook here
+        for fn in model_options.get("sampler_post_cfg_function", []):
+            args = {
+                "denoised": cfg_result,
+                "cond": positive_cond,
+                "uncond": negative_cond,
+                "model": self.inner_model,
+                "uncond_denoised": noise_pred_neg,
+                "cond_denoised": noise_pred_pos,
+                "sigma": timestep,
+                "model_options": model_options,
+                "input": x,
+                # not in the original call in samplers.py:cfg_function, but made available for future hooks
+                "empty_cond": empty_cond,
+                "empty_cond_denoised": noise_pred_empty,}
+            cfg_result = fn(args)
+
+        return cfg_result
+
+class PerpNegGuider:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model": ("MODEL",),
+                    "positive": ("CONDITIONING", ),
+                    "negative": ("CONDITIONING", ),
+                    "empty_conditioning": ("CONDITIONING", ),
+                    "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}),
+                    "neg_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01}),
+                     }
+                }
+
+    RETURN_TYPES = ("GUIDER",)
+
+    FUNCTION = "get_guider"
+    CATEGORY = "_for_testing"
+
+    def get_guider(self, model, positive, negative, empty_conditioning, cfg, neg_scale):
+        guider = Guider_PerpNeg(model)
+        guider.set_conds(positive, negative, empty_conditioning)
+        guider.set_cfg(cfg, neg_scale)
+        return (guider,)
+
+NODE_CLASS_MAPPINGS = {
+    "PerpNeg": PerpNeg,
+    "PerpNegGuider": PerpNegGuider,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "PerpNeg": "Perp-Neg (DEPRECATED by PerpNegGuider)",
+}
diff --git a/ComfyUI/comfy_extras/nodes_photomaker.py b/ComfyUI/comfy_extras/nodes_photomaker.py
new file mode 100644
index 0000000000000000000000000000000000000000..29d127d74afc92131d72c64864186833a5f6ea5d
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_photomaker.py
@@ -0,0 +1,187 @@
+import torch
+import torch.nn as nn
+import folder_paths
+import comfy.clip_model
+import comfy.clip_vision
+import comfy.ops
+
+# code for model from: https://github.com/TencentARC/PhotoMaker/blob/main/photomaker/model.py under Apache License Version 2.0
+VISION_CONFIG_DICT = {
+    "hidden_size": 1024,
+    "image_size": 224,
+    "intermediate_size": 4096,
+    "num_attention_heads": 16,
+    "num_channels": 3,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 768,
+    "hidden_act": "quick_gelu",
+}
+
+class MLP(nn.Module):
+    def __init__(self, in_dim, out_dim, hidden_dim, use_residual=True, operations=comfy.ops):
+        super().__init__()
+        if use_residual:
+            assert in_dim == out_dim
+        self.layernorm = operations.LayerNorm(in_dim)
+        self.fc1 = operations.Linear(in_dim, hidden_dim)
+        self.fc2 = operations.Linear(hidden_dim, out_dim)
+        self.use_residual = use_residual
+        self.act_fn = nn.GELU()
+
+    def forward(self, x):
+        residual = x
+        x = self.layernorm(x)
+        x = self.fc1(x)
+        x = self.act_fn(x)
+        x = self.fc2(x)
+        if self.use_residual:
+            x = x + residual
+        return x
+
+
+class FuseModule(nn.Module):
+    def __init__(self, embed_dim, operations):
+        super().__init__()
+        self.mlp1 = MLP(embed_dim * 2, embed_dim, embed_dim, use_residual=False, operations=operations)
+        self.mlp2 = MLP(embed_dim, embed_dim, embed_dim, use_residual=True, operations=operations)
+        self.layer_norm = operations.LayerNorm(embed_dim)
+
+    def fuse_fn(self, prompt_embeds, id_embeds):
+        stacked_id_embeds = torch.cat([prompt_embeds, id_embeds], dim=-1)
+        stacked_id_embeds = self.mlp1(stacked_id_embeds) + prompt_embeds
+        stacked_id_embeds = self.mlp2(stacked_id_embeds)
+        stacked_id_embeds = self.layer_norm(stacked_id_embeds)
+        return stacked_id_embeds
+
+    def forward(
+        self,
+        prompt_embeds,
+        id_embeds,
+        class_tokens_mask,
+    ) -> torch.Tensor:
+        # id_embeds shape: [b, max_num_inputs, 1, 2048]
+        id_embeds = id_embeds.to(prompt_embeds.dtype)
+        num_inputs = class_tokens_mask.sum().unsqueeze(0) # TODO: check for training case
+        batch_size, max_num_inputs = id_embeds.shape[:2]
+        # seq_length: 77
+        seq_length = prompt_embeds.shape[1]
+        # flat_id_embeds shape: [b*max_num_inputs, 1, 2048]
+        flat_id_embeds = id_embeds.view(
+            -1, id_embeds.shape[-2], id_embeds.shape[-1]
+        )
+        # valid_id_mask [b*max_num_inputs]
+        valid_id_mask = (
+            torch.arange(max_num_inputs, device=flat_id_embeds.device)[None, :]
+            < num_inputs[:, None]
+        )
+        valid_id_embeds = flat_id_embeds[valid_id_mask.flatten()]
+
+        prompt_embeds = prompt_embeds.view(-1, prompt_embeds.shape[-1])
+        class_tokens_mask = class_tokens_mask.view(-1)
+        valid_id_embeds = valid_id_embeds.view(-1, valid_id_embeds.shape[-1])
+        # slice out the image token embeddings
+        image_token_embeds = prompt_embeds[class_tokens_mask]
+        stacked_id_embeds = self.fuse_fn(image_token_embeds, valid_id_embeds)
+        assert class_tokens_mask.sum() == stacked_id_embeds.shape[0], f"{class_tokens_mask.sum()} != {stacked_id_embeds.shape[0]}"
+        prompt_embeds.masked_scatter_(class_tokens_mask[:, None], stacked_id_embeds.to(prompt_embeds.dtype))
+        updated_prompt_embeds = prompt_embeds.view(batch_size, seq_length, -1)
+        return updated_prompt_embeds
+
+class PhotoMakerIDEncoder(comfy.clip_model.CLIPVisionModelProjection):
+    def __init__(self):
+        self.load_device = comfy.model_management.text_encoder_device()
+        offload_device = comfy.model_management.text_encoder_offload_device()
+        dtype = comfy.model_management.text_encoder_dtype(self.load_device)
+
+        super().__init__(VISION_CONFIG_DICT, dtype, offload_device, comfy.ops.manual_cast)
+        self.visual_projection_2 = comfy.ops.manual_cast.Linear(1024, 1280, bias=False)
+        self.fuse_module = FuseModule(2048, comfy.ops.manual_cast)
+
+    def forward(self, id_pixel_values, prompt_embeds, class_tokens_mask):
+        b, num_inputs, c, h, w = id_pixel_values.shape
+        id_pixel_values = id_pixel_values.view(b * num_inputs, c, h, w)
+
+        shared_id_embeds = self.vision_model(id_pixel_values)[2]
+        id_embeds = self.visual_projection(shared_id_embeds)
+        id_embeds_2 = self.visual_projection_2(shared_id_embeds)
+
+        id_embeds = id_embeds.view(b, num_inputs, 1, -1)
+        id_embeds_2 = id_embeds_2.view(b, num_inputs, 1, -1)
+
+        id_embeds = torch.cat((id_embeds, id_embeds_2), dim=-1)
+        updated_prompt_embeds = self.fuse_module(prompt_embeds, id_embeds, class_tokens_mask)
+
+        return updated_prompt_embeds
+
+
+class PhotoMakerLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "photomaker_model_name": (folder_paths.get_filename_list("photomaker"), )}}
+
+    RETURN_TYPES = ("PHOTOMAKER",)
+    FUNCTION = "load_photomaker_model"
+
+    CATEGORY = "_for_testing/photomaker"
+
+    def load_photomaker_model(self, photomaker_model_name):
+        photomaker_model_path = folder_paths.get_full_path("photomaker", photomaker_model_name)
+        photomaker_model = PhotoMakerIDEncoder()
+        data = comfy.utils.load_torch_file(photomaker_model_path, safe_load=True)
+        if "id_encoder" in data:
+            data = data["id_encoder"]
+        photomaker_model.load_state_dict(data)
+        return (photomaker_model,)
+
+
+class PhotoMakerEncode:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "photomaker": ("PHOTOMAKER",),
+                              "image": ("IMAGE",),
+                              "clip": ("CLIP", ),
+                              "text": ("STRING", {"multiline": True, "dynamicPrompts": True, "default": "photograph of photomaker"}),
+                             }}
+
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "apply_photomaker"
+
+    CATEGORY = "_for_testing/photomaker"
+
+    def apply_photomaker(self, photomaker, image, clip, text):
+        special_token = "photomaker"
+        pixel_values = comfy.clip_vision.clip_preprocess(image.to(photomaker.load_device)).float()
+        try:
+            index = text.split(" ").index(special_token) + 1
+        except ValueError:
+            index = -1
+        tokens = clip.tokenize(text, return_word_ids=True)
+        out_tokens = {}
+        for k in tokens:
+            out_tokens[k] = []
+            for t in tokens[k]:
+                f = list(filter(lambda x: x[2] != index, t))
+                while len(f) < len(t):
+                    f.append(t[-1])
+                out_tokens[k].append(f)
+
+        cond, pooled = clip.encode_from_tokens(out_tokens, return_pooled=True)
+
+        if index > 0:
+            token_index = index - 1
+            num_id_images = 1
+            class_tokens_mask = [True if token_index <= i < token_index+num_id_images else False for i in range(77)]
+            out = photomaker(id_pixel_values=pixel_values.unsqueeze(0), prompt_embeds=cond.to(photomaker.load_device),
+                            class_tokens_mask=torch.tensor(class_tokens_mask, dtype=torch.bool, device=photomaker.load_device).unsqueeze(0))
+        else:
+            out = cond
+
+        return ([[out, {"pooled_output": pooled}]], )
+
+
+NODE_CLASS_MAPPINGS = {
+    "PhotoMakerLoader": PhotoMakerLoader,
+    "PhotoMakerEncode": PhotoMakerEncode,
+}
+
diff --git a/ComfyUI/comfy_extras/nodes_post_processing.py b/ComfyUI/comfy_extras/nodes_post_processing.py
new file mode 100644
index 0000000000000000000000000000000000000000..68f6ef51e791c78c16c179a292b70ee4ad39b656
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_post_processing.py
@@ -0,0 +1,279 @@
+import numpy as np
+import torch
+import torch.nn.functional as F
+from PIL import Image
+import math
+
+import comfy.utils
+import comfy.model_management
+
+
+class Blend:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image1": ("IMAGE",),
+                "image2": ("IMAGE",),
+                "blend_factor": ("FLOAT", {
+                    "default": 0.5,
+                    "min": 0.0,
+                    "max": 1.0,
+                    "step": 0.01
+                }),
+                "blend_mode": (["normal", "multiply", "screen", "overlay", "soft_light", "difference"],),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "blend_images"
+
+    CATEGORY = "image/postprocessing"
+
+    def blend_images(self, image1: torch.Tensor, image2: torch.Tensor, blend_factor: float, blend_mode: str):
+        image2 = image2.to(image1.device)
+        if image1.shape != image2.shape:
+            image2 = image2.permute(0, 3, 1, 2)
+            image2 = comfy.utils.common_upscale(image2, image1.shape[2], image1.shape[1], upscale_method='bicubic', crop='center')
+            image2 = image2.permute(0, 2, 3, 1)
+
+        blended_image = self.blend_mode(image1, image2, blend_mode)
+        blended_image = image1 * (1 - blend_factor) + blended_image * blend_factor
+        blended_image = torch.clamp(blended_image, 0, 1)
+        return (blended_image,)
+
+    def blend_mode(self, img1, img2, mode):
+        if mode == "normal":
+            return img2
+        elif mode == "multiply":
+            return img1 * img2
+        elif mode == "screen":
+            return 1 - (1 - img1) * (1 - img2)
+        elif mode == "overlay":
+            return torch.where(img1 <= 0.5, 2 * img1 * img2, 1 - 2 * (1 - img1) * (1 - img2))
+        elif mode == "soft_light":
+            return torch.where(img2 <= 0.5, img1 - (1 - 2 * img2) * img1 * (1 - img1), img1 + (2 * img2 - 1) * (self.g(img1) - img1))
+        elif mode == "difference":
+            return img1 - img2
+        else:
+            raise ValueError(f"Unsupported blend mode: {mode}")
+
+    def g(self, x):
+        return torch.where(x <= 0.25, ((16 * x - 12) * x + 4) * x, torch.sqrt(x))
+
+def gaussian_kernel(kernel_size: int, sigma: float, device=None):
+    x, y = torch.meshgrid(torch.linspace(-1, 1, kernel_size, device=device), torch.linspace(-1, 1, kernel_size, device=device), indexing="ij")
+    d = torch.sqrt(x * x + y * y)
+    g = torch.exp(-(d * d) / (2.0 * sigma * sigma))
+    return g / g.sum()
+
+class Blur:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "blur_radius": ("INT", {
+                    "default": 1,
+                    "min": 1,
+                    "max": 31,
+                    "step": 1
+                }),
+                "sigma": ("FLOAT", {
+                    "default": 1.0,
+                    "min": 0.1,
+                    "max": 10.0,
+                    "step": 0.1
+                }),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "blur"
+
+    CATEGORY = "image/postprocessing"
+
+    def blur(self, image: torch.Tensor, blur_radius: int, sigma: float):
+        if blur_radius == 0:
+            return (image,)
+
+        image = image.to(comfy.model_management.get_torch_device())
+        batch_size, height, width, channels = image.shape
+
+        kernel_size = blur_radius * 2 + 1
+        kernel = gaussian_kernel(kernel_size, sigma, device=image.device).repeat(channels, 1, 1).unsqueeze(1)
+
+        image = image.permute(0, 3, 1, 2) # Torch wants (B, C, H, W) we use (B, H, W, C)
+        padded_image = F.pad(image, (blur_radius,blur_radius,blur_radius,blur_radius), 'reflect')
+        blurred = F.conv2d(padded_image, kernel, padding=kernel_size // 2, groups=channels)[:,:,blur_radius:-blur_radius, blur_radius:-blur_radius]
+        blurred = blurred.permute(0, 2, 3, 1)
+
+        return (blurred.to(comfy.model_management.intermediate_device()),)
+
+class Quantize:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "colors": ("INT", {
+                    "default": 256,
+                    "min": 1,
+                    "max": 256,
+                    "step": 1
+                }),
+                "dither": (["none", "floyd-steinberg", "bayer-2", "bayer-4", "bayer-8", "bayer-16"],),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "quantize"
+
+    CATEGORY = "image/postprocessing"
+
+    def bayer(im, pal_im, order):
+        def normalized_bayer_matrix(n):
+            if n == 0:
+                return np.zeros((1,1), "float32")
+            else:
+                q = 4 ** n
+                m = q * normalized_bayer_matrix(n - 1)
+                return np.bmat(((m-1.5, m+0.5), (m+1.5, m-0.5))) / q
+
+        num_colors = len(pal_im.getpalette()) // 3
+        spread = 2 * 256 / num_colors
+        bayer_n = int(math.log2(order))
+        bayer_matrix = torch.from_numpy(spread * normalized_bayer_matrix(bayer_n) + 0.5)
+
+        result = torch.from_numpy(np.array(im).astype(np.float32))
+        tw = math.ceil(result.shape[0] / bayer_matrix.shape[0])
+        th = math.ceil(result.shape[1] / bayer_matrix.shape[1])
+        tiled_matrix = bayer_matrix.tile(tw, th).unsqueeze(-1)
+        result.add_(tiled_matrix[:result.shape[0],:result.shape[1]]).clamp_(0, 255)
+        result = result.to(dtype=torch.uint8)
+
+        im = Image.fromarray(result.cpu().numpy())
+        im = im.quantize(palette=pal_im, dither=Image.Dither.NONE)
+        return im
+
+    def quantize(self, image: torch.Tensor, colors: int, dither: str):
+        batch_size, height, width, _ = image.shape
+        result = torch.zeros_like(image)
+
+        for b in range(batch_size):
+            im = Image.fromarray((image[b] * 255).to(torch.uint8).numpy(), mode='RGB')
+
+            pal_im = im.quantize(colors=colors) # Required as described in https://github.com/python-pillow/Pillow/issues/5836
+
+            if dither == "none":
+                quantized_image = im.quantize(palette=pal_im, dither=Image.Dither.NONE)
+            elif dither == "floyd-steinberg":
+                quantized_image = im.quantize(palette=pal_im, dither=Image.Dither.FLOYDSTEINBERG)
+            elif dither.startswith("bayer"):
+                order = int(dither.split('-')[-1])
+                quantized_image = Quantize.bayer(im, pal_im, order)
+
+            quantized_array = torch.tensor(np.array(quantized_image.convert("RGB"))).float() / 255
+            result[b] = quantized_array
+
+        return (result,)
+
+class Sharpen:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "sharpen_radius": ("INT", {
+                    "default": 1,
+                    "min": 1,
+                    "max": 31,
+                    "step": 1
+                }),
+                "sigma": ("FLOAT", {
+                    "default": 1.0,
+                    "min": 0.1,
+                    "max": 10.0,
+                    "step": 0.01
+                }),
+                "alpha": ("FLOAT", {
+                    "default": 1.0,
+                    "min": 0.0,
+                    "max": 5.0,
+                    "step": 0.01
+                }),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "sharpen"
+
+    CATEGORY = "image/postprocessing"
+
+    def sharpen(self, image: torch.Tensor, sharpen_radius: int, sigma:float, alpha: float):
+        if sharpen_radius == 0:
+            return (image,)
+
+        batch_size, height, width, channels = image.shape
+        image = image.to(comfy.model_management.get_torch_device())
+
+        kernel_size = sharpen_radius * 2 + 1
+        kernel = gaussian_kernel(kernel_size, sigma, device=image.device) * -(alpha*10)
+        center = kernel_size // 2
+        kernel[center, center] = kernel[center, center] - kernel.sum() + 1.0
+        kernel = kernel.repeat(channels, 1, 1).unsqueeze(1)
+
+        tensor_image = image.permute(0, 3, 1, 2) # Torch wants (B, C, H, W) we use (B, H, W, C)
+        tensor_image = F.pad(tensor_image, (sharpen_radius,sharpen_radius,sharpen_radius,sharpen_radius), 'reflect')
+        sharpened = F.conv2d(tensor_image, kernel, padding=center, groups=channels)[:,:,sharpen_radius:-sharpen_radius, sharpen_radius:-sharpen_radius]
+        sharpened = sharpened.permute(0, 2, 3, 1)
+
+        result = torch.clamp(sharpened, 0, 1)
+
+        return (result.to(comfy.model_management.intermediate_device()),)
+
+class ImageScaleToTotalPixels:
+    upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
+    crop_methods = ["disabled", "center"]
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "image": ("IMAGE",), "upscale_method": (s.upscale_methods,),
+                              "megapixels": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 16.0, "step": 0.01}),
+                            }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "upscale"
+
+    CATEGORY = "image/upscaling"
+
+    def upscale(self, image, upscale_method, megapixels):
+        samples = image.movedim(-1,1)
+        total = int(megapixels * 1024 * 1024)
+
+        scale_by = math.sqrt(total / (samples.shape[3] * samples.shape[2]))
+        width = round(samples.shape[3] * scale_by)
+        height = round(samples.shape[2] * scale_by)
+
+        s = comfy.utils.common_upscale(samples, width, height, upscale_method, "disabled")
+        s = s.movedim(1,-1)
+        return (s,)
+
+NODE_CLASS_MAPPINGS = {
+    "ImageBlend": Blend,
+    "ImageBlur": Blur,
+    "ImageQuantize": Quantize,
+    "ImageSharpen": Sharpen,
+    "ImageScaleToTotalPixels": ImageScaleToTotalPixels,
+}
diff --git a/ComfyUI/comfy_extras/nodes_rebatch.py b/ComfyUI/comfy_extras/nodes_rebatch.py
new file mode 100644
index 0000000000000000000000000000000000000000..3010fbd4b69034399390894d74c1b8cc415b61f0
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_rebatch.py
@@ -0,0 +1,138 @@
+import torch
+
+class LatentRebatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "latents": ("LATENT",),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              }}
+    RETURN_TYPES = ("LATENT",)
+    INPUT_IS_LIST = True
+    OUTPUT_IS_LIST = (True, )
+
+    FUNCTION = "rebatch"
+
+    CATEGORY = "latent/batch"
+
+    @staticmethod
+    def get_batch(latents, list_ind, offset):
+        '''prepare a batch out of the list of latents'''
+        samples = latents[list_ind]['samples']
+        shape = samples.shape
+        mask = latents[list_ind]['noise_mask'] if 'noise_mask' in latents[list_ind] else torch.ones((shape[0], 1, shape[2]*8, shape[3]*8), device='cpu')
+        if mask.shape[-1] != shape[-1] * 8 or mask.shape[-2] != shape[-2]:
+            torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(shape[-2]*8, shape[-1]*8), mode="bilinear")
+        if mask.shape[0] < samples.shape[0]:
+            mask = mask.repeat((shape[0] - 1) // mask.shape[0] + 1, 1, 1, 1)[:shape[0]]
+        if 'batch_index' in latents[list_ind]:
+            batch_inds = latents[list_ind]['batch_index']
+        else:
+            batch_inds = [x+offset for x in range(shape[0])]
+        return samples, mask, batch_inds
+
+    @staticmethod
+    def get_slices(indexable, num, batch_size):
+        '''divides an indexable object into num slices of length batch_size, and a remainder'''
+        slices = []
+        for i in range(num):
+            slices.append(indexable[i*batch_size:(i+1)*batch_size])
+        if num * batch_size < len(indexable):
+            return slices, indexable[num * batch_size:]
+        else:
+            return slices, None
+    
+    @staticmethod
+    def slice_batch(batch, num, batch_size):
+        result = [LatentRebatch.get_slices(x, num, batch_size) for x in batch]
+        return list(zip(*result))
+
+    @staticmethod
+    def cat_batch(batch1, batch2):
+        if batch1[0] is None:
+            return batch2
+        result = [torch.cat((b1, b2)) if torch.is_tensor(b1) else b1 + b2 for b1, b2 in zip(batch1, batch2)]
+        return result
+
+    def rebatch(self, latents, batch_size):
+        batch_size = batch_size[0]
+
+        output_list = []
+        current_batch = (None, None, None)
+        processed = 0
+
+        for i in range(len(latents)):
+            # fetch new entry of list
+            #samples, masks, indices = self.get_batch(latents, i)
+            next_batch = self.get_batch(latents, i, processed)
+            processed += len(next_batch[2])
+            # set to current if current is None
+            if current_batch[0] is None:
+                current_batch = next_batch
+            # add previous to list if dimensions do not match
+            elif next_batch[0].shape[-1] != current_batch[0].shape[-1] or next_batch[0].shape[-2] != current_batch[0].shape[-2]:
+                sliced, _ = self.slice_batch(current_batch, 1, batch_size)
+                output_list.append({'samples': sliced[0][0], 'noise_mask': sliced[1][0], 'batch_index': sliced[2][0]})
+                current_batch = next_batch
+            # cat if everything checks out
+            else:
+                current_batch = self.cat_batch(current_batch, next_batch)
+
+            # add to list if dimensions gone above target batch size
+            if current_batch[0].shape[0] > batch_size:
+                num = current_batch[0].shape[0] // batch_size
+                sliced, remainder = self.slice_batch(current_batch, num, batch_size)
+                
+                for i in range(num):
+                    output_list.append({'samples': sliced[0][i], 'noise_mask': sliced[1][i], 'batch_index': sliced[2][i]})
+
+                current_batch = remainder
+
+        #add remainder
+        if current_batch[0] is not None:
+            sliced, _ = self.slice_batch(current_batch, 1, batch_size)
+            output_list.append({'samples': sliced[0][0], 'noise_mask': sliced[1][0], 'batch_index': sliced[2][0]})
+
+        #get rid of empty masks
+        for s in output_list:
+            if s['noise_mask'].mean() == 1.0:
+                del s['noise_mask']
+
+        return (output_list,)
+
+class ImageRebatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "images": ("IMAGE",),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              }}
+    RETURN_TYPES = ("IMAGE",)
+    INPUT_IS_LIST = True
+    OUTPUT_IS_LIST = (True, )
+
+    FUNCTION = "rebatch"
+
+    CATEGORY = "image/batch"
+
+    def rebatch(self, images, batch_size):
+        batch_size = batch_size[0]
+
+        output_list = []
+        all_images = []
+        for img in images:
+            for i in range(img.shape[0]):
+                all_images.append(img[i:i+1])
+
+        for i in range(0, len(all_images), batch_size):
+            output_list.append(torch.cat(all_images[i:i+batch_size], dim=0))
+
+        return (output_list,)
+
+NODE_CLASS_MAPPINGS = {
+    "RebatchLatents": LatentRebatch,
+    "RebatchImages": ImageRebatch,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "RebatchLatents": "Rebatch Latents",
+    "RebatchImages": "Rebatch Images",
+}
diff --git a/ComfyUI/comfy_extras/nodes_sag.py b/ComfyUI/comfy_extras/nodes_sag.py
new file mode 100644
index 0000000000000000000000000000000000000000..5e15b99e56712f05a64b12e41bbd5304dae1d665
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_sag.py
@@ -0,0 +1,169 @@
+import torch
+from torch import einsum
+import torch.nn.functional as F
+import math
+
+from einops import rearrange, repeat
+from comfy.ldm.modules.attention import optimized_attention
+import comfy.samplers
+
+# from comfy/ldm/modules/attention.py
+# but modified to return attention scores as well as output
+def attention_basic_with_sim(q, k, v, heads, mask=None, attn_precision=None):
+    b, _, dim_head = q.shape
+    dim_head //= heads
+    scale = dim_head ** -0.5
+
+    h = heads
+    q, k, v = map(
+        lambda t: t.unsqueeze(3)
+        .reshape(b, -1, heads, dim_head)
+        .permute(0, 2, 1, 3)
+        .reshape(b * heads, -1, dim_head)
+        .contiguous(),
+        (q, k, v),
+    )
+
+    # force cast to fp32 to avoid overflowing
+    if attn_precision == torch.float32:
+        sim = einsum('b i d, b j d -> b i j', q.float(), k.float()) * scale
+    else:
+        sim = einsum('b i d, b j d -> b i j', q, k) * scale
+
+    del q, k
+
+    if mask is not None:
+        mask = rearrange(mask, 'b ... -> b (...)')
+        max_neg_value = -torch.finfo(sim.dtype).max
+        mask = repeat(mask, 'b j -> (b h) () j', h=h)
+        sim.masked_fill_(~mask, max_neg_value)
+
+    # attention, what we cannot get enough of
+    sim = sim.softmax(dim=-1)
+
+    out = einsum('b i j, b j d -> b i d', sim.to(v.dtype), v)
+    out = (
+        out.unsqueeze(0)
+        .reshape(b, heads, -1, dim_head)
+        .permute(0, 2, 1, 3)
+        .reshape(b, -1, heads * dim_head)
+    )
+    return (out, sim)
+
+def create_blur_map(x0, attn, sigma=3.0, threshold=1.0):
+    # reshape and GAP the attention map
+    _, hw1, hw2 = attn.shape
+    b, _, lh, lw = x0.shape
+    attn = attn.reshape(b, -1, hw1, hw2)
+    # Global Average Pool
+    mask = attn.mean(1, keepdim=False).sum(1, keepdim=False) > threshold
+    ratio = 2**(math.ceil(math.sqrt(lh * lw / hw1)) - 1).bit_length()
+    mid_shape = [math.ceil(lh / ratio), math.ceil(lw / ratio)]
+
+    # Reshape
+    mask = (
+        mask.reshape(b, *mid_shape)
+        .unsqueeze(1)
+        .type(attn.dtype)
+    )
+    # Upsample
+    mask = F.interpolate(mask, (lh, lw))
+
+    blurred = gaussian_blur_2d(x0, kernel_size=9, sigma=sigma)
+    blurred = blurred * mask + x0 * (1 - mask)
+    return blurred
+
+def gaussian_blur_2d(img, kernel_size, sigma):
+    ksize_half = (kernel_size - 1) * 0.5
+
+    x = torch.linspace(-ksize_half, ksize_half, steps=kernel_size)
+
+    pdf = torch.exp(-0.5 * (x / sigma).pow(2))
+
+    x_kernel = pdf / pdf.sum()
+    x_kernel = x_kernel.to(device=img.device, dtype=img.dtype)
+
+    kernel2d = torch.mm(x_kernel[:, None], x_kernel[None, :])
+    kernel2d = kernel2d.expand(img.shape[-3], 1, kernel2d.shape[0], kernel2d.shape[1])
+
+    padding = [kernel_size // 2, kernel_size // 2, kernel_size // 2, kernel_size // 2]
+
+    img = F.pad(img, padding, mode="reflect")
+    img = F.conv2d(img, kernel2d, groups=img.shape[-3])
+    return img
+
+class SelfAttentionGuidance:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                             "scale": ("FLOAT", {"default": 0.5, "min": -2.0, "max": 5.0, "step": 0.01}),
+                             "blur_sigma": ("FLOAT", {"default": 2.0, "min": 0.0, "max": 10.0, "step": 0.1}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "_for_testing"
+
+    def patch(self, model, scale, blur_sigma):
+        m = model.clone()
+
+        attn_scores = None
+
+        # TODO: make this work properly with chunked batches
+        #       currently, we can only save the attn from one UNet call
+        def attn_and_record(q, k, v, extra_options):
+            nonlocal attn_scores
+            # if uncond, save the attention scores
+            heads = extra_options["n_heads"]
+            cond_or_uncond = extra_options["cond_or_uncond"]
+            b = q.shape[0] // len(cond_or_uncond)
+            if 1 in cond_or_uncond:
+                uncond_index = cond_or_uncond.index(1)
+                # do the entire attention operation, but save the attention scores to attn_scores
+                (out, sim) = attention_basic_with_sim(q, k, v, heads=heads, attn_precision=extra_options["attn_precision"])
+                # when using a higher batch size, I BELIEVE the result batch dimension is [uc1, ... ucn, c1, ... cn]
+                n_slices = heads * b
+                attn_scores = sim[n_slices * uncond_index:n_slices * (uncond_index+1)]
+                return out
+            else:
+                return optimized_attention(q, k, v, heads=heads, attn_precision=extra_options["attn_precision"])
+
+        def post_cfg_function(args):
+            nonlocal attn_scores
+            uncond_attn = attn_scores
+
+            sag_scale = scale
+            sag_sigma = blur_sigma
+            sag_threshold = 1.0
+            model = args["model"]
+            uncond_pred = args["uncond_denoised"]
+            uncond = args["uncond"]
+            cfg_result = args["denoised"]
+            sigma = args["sigma"]
+            model_options = args["model_options"]
+            x = args["input"]
+            if min(cfg_result.shape[2:]) <= 4: #skip when too small to add padding
+                return cfg_result
+
+            # create the adversarially blurred image
+            degraded = create_blur_map(uncond_pred, uncond_attn, sag_sigma, sag_threshold)
+            degraded_noised = degraded + x - uncond_pred
+            # call into the UNet
+            (sag,) = comfy.samplers.calc_cond_batch(model, [uncond], degraded_noised, sigma, model_options)
+            return cfg_result + (degraded - sag) * sag_scale
+
+        m.set_model_sampler_post_cfg_function(post_cfg_function, disable_cfg1_optimization=True)
+
+        # from diffusers:
+        # unet.mid_block.attentions[0].transformer_blocks[0].attn1.patch
+        m.set_model_attn1_replace(attn_and_record, "middle", 0, 0)
+
+        return (m, )
+
+NODE_CLASS_MAPPINGS = {
+    "SelfAttentionGuidance": SelfAttentionGuidance,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "SelfAttentionGuidance": "Self-Attention Guidance",
+}
diff --git a/ComfyUI/comfy_extras/nodes_sd3.py b/ComfyUI/comfy_extras/nodes_sd3.py
new file mode 100644
index 0000000000000000000000000000000000000000..046096cba8a3c55fd32b6b3a9da4fdec22c8576a
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_sd3.py
@@ -0,0 +1,107 @@
+import folder_paths
+import comfy.sd
+import comfy.model_management
+import nodes
+import torch
+
+class TripleCLIPLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_name1": (folder_paths.get_filename_list("clip"), ), "clip_name2": (folder_paths.get_filename_list("clip"), ), "clip_name3": (folder_paths.get_filename_list("clip"), )
+                             }}
+    RETURN_TYPES = ("CLIP",)
+    FUNCTION = "load_clip"
+
+    CATEGORY = "advanced/loaders"
+
+    def load_clip(self, clip_name1, clip_name2, clip_name3):
+        clip_path1 = folder_paths.get_full_path("clip", clip_name1)
+        clip_path2 = folder_paths.get_full_path("clip", clip_name2)
+        clip_path3 = folder_paths.get_full_path("clip", clip_name3)
+        clip = comfy.sd.load_clip(ckpt_paths=[clip_path1, clip_path2, clip_path3], embedding_directory=folder_paths.get_folder_paths("embeddings"))
+        return (clip,)
+
+class EmptySD3LatentImage:
+    def __init__(self):
+        self.device = comfy.model_management.intermediate_device()
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "width": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}),
+                              "height": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})}}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "generate"
+
+    CATEGORY = "latent/sd3"
+
+    def generate(self, width, height, batch_size=1):
+        latent = torch.ones([batch_size, 16, height // 8, width // 8], device=self.device) * 0.0609
+        return ({"samples":latent}, )
+
+class CLIPTextEncodeSD3:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "clip": ("CLIP", ),
+            "clip_l": ("STRING", {"multiline": True, "dynamicPrompts": True}),
+            "clip_g": ("STRING", {"multiline": True, "dynamicPrompts": True}),
+            "t5xxl": ("STRING", {"multiline": True, "dynamicPrompts": True}),
+            "empty_padding": (["none", "empty_prompt"], )
+            }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "encode"
+
+    CATEGORY = "advanced/conditioning"
+
+    def encode(self, clip, clip_l, clip_g, t5xxl, empty_padding):
+        no_padding = empty_padding == "none"
+
+        tokens = clip.tokenize(clip_g)
+        if len(clip_g) == 0 and no_padding:
+            tokens["g"] = []
+
+        if len(clip_l) == 0 and no_padding:
+            tokens["l"] = []
+        else:
+            tokens["l"] = clip.tokenize(clip_l)["l"]
+
+        if len(t5xxl) == 0 and no_padding:
+            tokens["t5xxl"] =  []
+        else:
+            tokens["t5xxl"] = clip.tokenize(t5xxl)["t5xxl"]
+        if len(tokens["l"]) != len(tokens["g"]):
+            empty = clip.tokenize("")
+            while len(tokens["l"]) < len(tokens["g"]):
+                tokens["l"] += empty["l"]
+            while len(tokens["l"]) > len(tokens["g"]):
+                tokens["g"] += empty["g"]
+        cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True)
+        return ([[cond, {"pooled_output": pooled}]], )
+
+
+class ControlNetApplySD3(nodes.ControlNetApplyAdvanced):
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"positive": ("CONDITIONING", ),
+                             "negative": ("CONDITIONING", ),
+                             "control_net": ("CONTROL_NET", ),
+                             "vae": ("VAE", ),
+                             "image": ("IMAGE", ),
+                             "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
+                             "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001})
+                             }}
+    CATEGORY = "conditioning/controlnet"
+
+NODE_CLASS_MAPPINGS = {
+    "TripleCLIPLoader": TripleCLIPLoader,
+    "EmptySD3LatentImage": EmptySD3LatentImage,
+    "CLIPTextEncodeSD3": CLIPTextEncodeSD3,
+    "ControlNetApplySD3": ControlNetApplySD3,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    # Sampling
+    "ControlNetApplySD3": "ControlNetApply SD3 and HunyuanDiT",
+}
diff --git a/ComfyUI/comfy_extras/nodes_sdupscale.py b/ComfyUI/comfy_extras/nodes_sdupscale.py
new file mode 100644
index 0000000000000000000000000000000000000000..bba67e8ddff8064a90ec0f8e71e953ca4e56c4c6
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_sdupscale.py
@@ -0,0 +1,46 @@
+import torch
+import comfy.utils
+
+class SD_4XUpscale_Conditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "images": ("IMAGE",),
+                              "positive": ("CONDITIONING",),
+                              "negative": ("CONDITIONING",),
+                              "scale_ratio": ("FLOAT", {"default": 4.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "noise_augmentation": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/upscale_diffusion"
+
+    def encode(self, images, positive, negative, scale_ratio, noise_augmentation):
+        width = max(1, round(images.shape[-2] * scale_ratio))
+        height = max(1, round(images.shape[-3] * scale_ratio))
+
+        pixels = comfy.utils.common_upscale((images.movedim(-1,1) * 2.0) - 1.0, width // 4, height // 4, "bilinear", "center")
+
+        out_cp = []
+        out_cn = []
+
+        for t in positive:
+            n = [t[0], t[1].copy()]
+            n[1]['concat_image'] = pixels
+            n[1]['noise_augmentation'] = noise_augmentation
+            out_cp.append(n)
+
+        for t in negative:
+            n = [t[0], t[1].copy()]
+            n[1]['concat_image'] = pixels
+            n[1]['noise_augmentation'] = noise_augmentation
+            out_cn.append(n)
+
+        latent = torch.zeros([images.shape[0], 4, height // 4, width // 4])
+        return (out_cp, out_cn, {"samples":latent})
+
+NODE_CLASS_MAPPINGS = {
+    "SD_4XUpscale_Conditioning": SD_4XUpscale_Conditioning,
+}
diff --git a/ComfyUI/comfy_extras/nodes_stable3d.py b/ComfyUI/comfy_extras/nodes_stable3d.py
new file mode 100644
index 0000000000000000000000000000000000000000..be2e34c28f49f160a21703c313305193ed00546f
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_stable3d.py
@@ -0,0 +1,143 @@
+import torch
+import nodes
+import comfy.utils
+
+def camera_embeddings(elevation, azimuth):
+    elevation = torch.as_tensor([elevation])
+    azimuth = torch.as_tensor([azimuth])
+    embeddings = torch.stack(
+        [
+                torch.deg2rad(
+                    (90 - elevation) - (90)
+                ),  # Zero123 polar is 90-elevation
+                torch.sin(torch.deg2rad(azimuth)),
+                torch.cos(torch.deg2rad(azimuth)),
+                torch.deg2rad(
+                    90 - torch.full_like(elevation, 0)
+                ),
+        ], dim=-1).unsqueeze(1)
+
+    return embeddings
+
+
+class StableZero123_Conditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_vision": ("CLIP_VISION",),
+                              "init_image": ("IMAGE",),
+                              "vae": ("VAE",),
+                              "width": ("INT", {"default": 256, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 256, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              "elevation": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}),
+                              "azimuth": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/3d_models"
+
+    def encode(self, clip_vision, init_image, vae, width, height, batch_size, elevation, azimuth):
+        output = clip_vision.encode_image(init_image)
+        pooled = output.image_embeds.unsqueeze(0)
+        pixels = comfy.utils.common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1)
+        encode_pixels = pixels[:,:,:,:3]
+        t = vae.encode(encode_pixels)
+        cam_embeds = camera_embeddings(elevation, azimuth)
+        cond = torch.cat([pooled, cam_embeds.to(pooled.device).repeat((pooled.shape[0], 1, 1))], dim=-1)
+
+        positive = [[cond, {"concat_latent_image": t}]]
+        negative = [[torch.zeros_like(pooled), {"concat_latent_image": torch.zeros_like(t)}]]
+        latent = torch.zeros([batch_size, 4, height // 8, width // 8])
+        return (positive, negative, {"samples":latent})
+
+class StableZero123_Conditioning_Batched:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_vision": ("CLIP_VISION",),
+                              "init_image": ("IMAGE",),
+                              "vae": ("VAE",),
+                              "width": ("INT", {"default": 256, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 256, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              "elevation": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}),
+                              "azimuth": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}),
+                              "elevation_batch_increment": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}),
+                              "azimuth_batch_increment": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/3d_models"
+
+    def encode(self, clip_vision, init_image, vae, width, height, batch_size, elevation, azimuth, elevation_batch_increment, azimuth_batch_increment):
+        output = clip_vision.encode_image(init_image)
+        pooled = output.image_embeds.unsqueeze(0)
+        pixels = comfy.utils.common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1)
+        encode_pixels = pixels[:,:,:,:3]
+        t = vae.encode(encode_pixels)
+
+        cam_embeds = []
+        for i in range(batch_size):
+            cam_embeds.append(camera_embeddings(elevation, azimuth))
+            elevation += elevation_batch_increment
+            azimuth += azimuth_batch_increment
+
+        cam_embeds = torch.cat(cam_embeds, dim=0)
+        cond = torch.cat([comfy.utils.repeat_to_batch_size(pooled, batch_size), cam_embeds], dim=-1)
+
+        positive = [[cond, {"concat_latent_image": t}]]
+        negative = [[torch.zeros_like(pooled), {"concat_latent_image": torch.zeros_like(t)}]]
+        latent = torch.zeros([batch_size, 4, height // 8, width // 8])
+        return (positive, negative, {"samples":latent, "batch_index": [0] * batch_size})
+
+class SV3D_Conditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_vision": ("CLIP_VISION",),
+                              "init_image": ("IMAGE",),
+                              "vae": ("VAE",),
+                              "width": ("INT", {"default": 576, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 576, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
+                              "video_frames": ("INT", {"default": 21, "min": 1, "max": 4096}),
+                              "elevation": ("FLOAT", {"default": 0.0, "min": -90.0, "max": 90.0, "step": 0.1, "round": False}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/3d_models"
+
+    def encode(self, clip_vision, init_image, vae, width, height, video_frames, elevation):
+        output = clip_vision.encode_image(init_image)
+        pooled = output.image_embeds.unsqueeze(0)
+        pixels = comfy.utils.common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1)
+        encode_pixels = pixels[:,:,:,:3]
+        t = vae.encode(encode_pixels)
+
+        azimuth = 0
+        azimuth_increment = 360 / (max(video_frames, 2) - 1)
+
+        elevations = []
+        azimuths = []
+        for i in range(video_frames):
+            elevations.append(elevation)
+            azimuths.append(azimuth)
+            azimuth += azimuth_increment
+
+        positive = [[pooled, {"concat_latent_image": t, "elevation": elevations, "azimuth": azimuths}]]
+        negative = [[torch.zeros_like(pooled), {"concat_latent_image": torch.zeros_like(t), "elevation": elevations, "azimuth": azimuths}]]
+        latent = torch.zeros([video_frames, 4, height // 8, width // 8])
+        return (positive, negative, {"samples":latent})
+
+
+NODE_CLASS_MAPPINGS = {
+    "StableZero123_Conditioning": StableZero123_Conditioning,
+    "StableZero123_Conditioning_Batched": StableZero123_Conditioning_Batched,
+    "SV3D_Conditioning": SV3D_Conditioning,
+}
diff --git a/ComfyUI/comfy_extras/nodes_stable_cascade.py b/ComfyUI/comfy_extras/nodes_stable_cascade.py
new file mode 100644
index 0000000000000000000000000000000000000000..fcbbeb27fa96eb31514eb93773c50228dcb06d4e
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_stable_cascade.py
@@ -0,0 +1,140 @@
+"""
+    This file is part of ComfyUI.
+    Copyright (C) 2024 Stability AI
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+"""
+
+import torch
+import nodes
+import comfy.utils
+
+
+class StableCascade_EmptyLatentImage:
+    def __init__(self, device="cpu"):
+        self.device = device
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "width": ("INT", {"default": 1024, "min": 256, "max": nodes.MAX_RESOLUTION, "step": 8}),
+            "height": ("INT", {"default": 1024, "min": 256, "max": nodes.MAX_RESOLUTION, "step": 8}),
+            "compression": ("INT", {"default": 42, "min": 4, "max": 128, "step": 1}),
+            "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})
+        }}
+    RETURN_TYPES = ("LATENT", "LATENT")
+    RETURN_NAMES = ("stage_c", "stage_b")
+    FUNCTION = "generate"
+
+    CATEGORY = "latent/stable_cascade"
+
+    def generate(self, width, height, compression, batch_size=1):
+        c_latent = torch.zeros([batch_size, 16, height // compression, width // compression])
+        b_latent = torch.zeros([batch_size, 4, height // 4, width // 4])
+        return ({
+            "samples": c_latent,
+        }, {
+            "samples": b_latent,
+        })
+
+class StableCascade_StageC_VAEEncode:
+    def __init__(self, device="cpu"):
+        self.device = device
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "image": ("IMAGE",),
+            "vae": ("VAE", ),
+            "compression": ("INT", {"default": 42, "min": 4, "max": 128, "step": 1}),
+        }}
+    RETURN_TYPES = ("LATENT", "LATENT")
+    RETURN_NAMES = ("stage_c", "stage_b")
+    FUNCTION = "generate"
+
+    CATEGORY = "latent/stable_cascade"
+
+    def generate(self, image, vae, compression):
+        width = image.shape[-2]
+        height = image.shape[-3]
+        out_width = (width // compression) * vae.downscale_ratio
+        out_height = (height // compression) * vae.downscale_ratio
+
+        s = comfy.utils.common_upscale(image.movedim(-1,1), out_width, out_height, "bicubic", "center").movedim(1,-1)
+
+        c_latent = vae.encode(s[:,:,:,:3])
+        b_latent = torch.zeros([c_latent.shape[0], 4, (height // 8) * 2, (width // 8) * 2])
+        return ({
+            "samples": c_latent,
+        }, {
+            "samples": b_latent,
+        })
+
+class StableCascade_StageB_Conditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "conditioning": ("CONDITIONING",),
+                              "stage_c": ("LATENT",),
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+
+    FUNCTION = "set_prior"
+
+    CATEGORY = "conditioning/stable_cascade"
+
+    def set_prior(self, conditioning, stage_c):
+        c = []
+        for t in conditioning:
+            d = t[1].copy()
+            d['stable_cascade_prior'] = stage_c['samples']
+            n = [t[0], d]
+            c.append(n)
+        return (c, )
+
+class StableCascade_SuperResolutionControlnet:
+    def __init__(self, device="cpu"):
+        self.device = device
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "image": ("IMAGE",),
+            "vae": ("VAE", ),
+        }}
+    RETURN_TYPES = ("IMAGE", "LATENT", "LATENT")
+    RETURN_NAMES = ("controlnet_input", "stage_c", "stage_b")
+    FUNCTION = "generate"
+
+    CATEGORY = "_for_testing/stable_cascade"
+
+    def generate(self, image, vae):
+        width = image.shape[-2]
+        height = image.shape[-3]
+        batch_size = image.shape[0]
+        controlnet_input = vae.encode(image[:,:,:,:3]).movedim(1, -1)
+
+        c_latent = torch.zeros([batch_size, 16, height // 16, width // 16])
+        b_latent = torch.zeros([batch_size, 4, height // 2, width // 2])
+        return (controlnet_input, {
+            "samples": c_latent,
+        }, {
+            "samples": b_latent,
+        })
+
+NODE_CLASS_MAPPINGS = {
+    "StableCascade_EmptyLatentImage": StableCascade_EmptyLatentImage,
+    "StableCascade_StageB_Conditioning": StableCascade_StageB_Conditioning,
+    "StableCascade_StageC_VAEEncode": StableCascade_StageC_VAEEncode,
+    "StableCascade_SuperResolutionControlnet": StableCascade_SuperResolutionControlnet,
+}
diff --git a/ComfyUI/comfy_extras/nodes_tomesd.py b/ComfyUI/comfy_extras/nodes_tomesd.py
new file mode 100644
index 0000000000000000000000000000000000000000..df0485063e68d3a38eac4755600748e096426231
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_tomesd.py
@@ -0,0 +1,177 @@
+#Taken from: https://github.com/dbolya/tomesd
+
+import torch
+from typing import Tuple, Callable
+import math
+
+def do_nothing(x: torch.Tensor, mode:str=None):
+    return x
+
+
+def mps_gather_workaround(input, dim, index):
+    if input.shape[-1] == 1:
+        return torch.gather(
+            input.unsqueeze(-1),
+            dim - 1 if dim < 0 else dim,
+            index.unsqueeze(-1)
+        ).squeeze(-1)
+    else:
+        return torch.gather(input, dim, index)
+
+
+def bipartite_soft_matching_random2d(metric: torch.Tensor,
+                                     w: int, h: int, sx: int, sy: int, r: int,
+                                     no_rand: bool = False) -> Tuple[Callable, Callable]:
+    """
+    Partitions the tokens into src and dst and merges r tokens from src to dst.
+    Dst tokens are partitioned by choosing one randomy in each (sx, sy) region.
+    Args:
+     - metric [B, N, C]: metric to use for similarity
+     - w: image width in tokens
+     - h: image height in tokens
+     - sx: stride in the x dimension for dst, must divide w
+     - sy: stride in the y dimension for dst, must divide h
+     - r: number of tokens to remove (by merging)
+     - no_rand: if true, disable randomness (use top left corner only)
+    """
+    B, N, _ = metric.shape
+
+    if r <= 0 or w == 1 or h == 1:
+        return do_nothing, do_nothing
+
+    gather = mps_gather_workaround if metric.device.type == "mps" else torch.gather
+    
+    with torch.no_grad():
+        
+        hsy, wsx = h // sy, w // sx
+
+        # For each sy by sx kernel, randomly assign one token to be dst and the rest src
+        if no_rand:
+            rand_idx = torch.zeros(hsy, wsx, 1, device=metric.device, dtype=torch.int64)
+        else:
+            rand_idx = torch.randint(sy*sx, size=(hsy, wsx, 1), device=metric.device)
+        
+        # The image might not divide sx and sy, so we need to work on a view of the top left if the idx buffer instead
+        idx_buffer_view = torch.zeros(hsy, wsx, sy*sx, device=metric.device, dtype=torch.int64)
+        idx_buffer_view.scatter_(dim=2, index=rand_idx, src=-torch.ones_like(rand_idx, dtype=rand_idx.dtype))
+        idx_buffer_view = idx_buffer_view.view(hsy, wsx, sy, sx).transpose(1, 2).reshape(hsy * sy, wsx * sx)
+
+        # Image is not divisible by sx or sy so we need to move it into a new buffer
+        if (hsy * sy) < h or (wsx * sx) < w:
+            idx_buffer = torch.zeros(h, w, device=metric.device, dtype=torch.int64)
+            idx_buffer[:(hsy * sy), :(wsx * sx)] = idx_buffer_view
+        else:
+            idx_buffer = idx_buffer_view
+
+        # We set dst tokens to be -1 and src to be 0, so an argsort gives us dst|src indices
+        rand_idx = idx_buffer.reshape(1, -1, 1).argsort(dim=1)
+
+        # We're finished with these
+        del idx_buffer, idx_buffer_view
+
+        # rand_idx is currently dst|src, so split them
+        num_dst = hsy * wsx
+        a_idx = rand_idx[:, num_dst:, :] # src
+        b_idx = rand_idx[:, :num_dst, :] # dst
+
+        def split(x):
+            C = x.shape[-1]
+            src = gather(x, dim=1, index=a_idx.expand(B, N - num_dst, C))
+            dst = gather(x, dim=1, index=b_idx.expand(B, num_dst, C))
+            return src, dst
+
+        # Cosine similarity between A and B
+        metric = metric / metric.norm(dim=-1, keepdim=True)
+        a, b = split(metric)
+        scores = a @ b.transpose(-1, -2)
+
+        # Can't reduce more than the # tokens in src
+        r = min(a.shape[1], r)
+
+        # Find the most similar greedily
+        node_max, node_idx = scores.max(dim=-1)
+        edge_idx = node_max.argsort(dim=-1, descending=True)[..., None]
+
+        unm_idx = edge_idx[..., r:, :]  # Unmerged Tokens
+        src_idx = edge_idx[..., :r, :]  # Merged Tokens
+        dst_idx = gather(node_idx[..., None], dim=-2, index=src_idx)
+
+    def merge(x: torch.Tensor, mode="mean") -> torch.Tensor:
+        src, dst = split(x)
+        n, t1, c = src.shape
+        
+        unm = gather(src, dim=-2, index=unm_idx.expand(n, t1 - r, c))
+        src = gather(src, dim=-2, index=src_idx.expand(n, r, c))
+        dst = dst.scatter_reduce(-2, dst_idx.expand(n, r, c), src, reduce=mode)
+
+        return torch.cat([unm, dst], dim=1)
+
+    def unmerge(x: torch.Tensor) -> torch.Tensor:
+        unm_len = unm_idx.shape[1]
+        unm, dst = x[..., :unm_len, :], x[..., unm_len:, :]
+        _, _, c = unm.shape
+
+        src = gather(dst, dim=-2, index=dst_idx.expand(B, r, c))
+
+        # Combine back to the original shape
+        out = torch.zeros(B, N, c, device=x.device, dtype=x.dtype)
+        out.scatter_(dim=-2, index=b_idx.expand(B, num_dst, c), src=dst)
+        out.scatter_(dim=-2, index=gather(a_idx.expand(B, a_idx.shape[1], 1), dim=1, index=unm_idx).expand(B, unm_len, c), src=unm)
+        out.scatter_(dim=-2, index=gather(a_idx.expand(B, a_idx.shape[1], 1), dim=1, index=src_idx).expand(B, r, c), src=src)
+
+        return out
+
+    return merge, unmerge
+
+
+def get_functions(x, ratio, original_shape):
+    b, c, original_h, original_w = original_shape
+    original_tokens = original_h * original_w
+    downsample = int(math.ceil(math.sqrt(original_tokens // x.shape[1])))
+    stride_x = 2
+    stride_y = 2
+    max_downsample = 1
+
+    if downsample <= max_downsample:
+        w = int(math.ceil(original_w / downsample))
+        h = int(math.ceil(original_h / downsample))
+        r = int(x.shape[1] * ratio)
+        no_rand = False
+        m, u = bipartite_soft_matching_random2d(x, w, h, stride_x, stride_y, r, no_rand)
+        return m, u
+
+    nothing = lambda y: y
+    return nothing, nothing
+
+
+
+class TomePatchModel:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "ratio": ("FLOAT", {"default": 0.3, "min": 0.0, "max": 1.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "_for_testing"
+
+    def patch(self, model, ratio):
+        self.u = None
+        def tomesd_m(q, k, v, extra_options):
+            #NOTE: In the reference code get_functions takes x (input of the transformer block) as the argument instead of q
+            #however from my basic testing it seems that using q instead gives better results
+            m, self.u = get_functions(q, ratio, extra_options["original_shape"])
+            return m(q), k, v
+        def tomesd_u(n, extra_options):
+            return self.u(n)
+
+        m = model.clone()
+        m.set_model_attn1_patch(tomesd_m)
+        m.set_model_attn1_output_patch(tomesd_u)
+        return (m, )
+
+
+NODE_CLASS_MAPPINGS = {
+    "TomePatchModel": TomePatchModel,
+}
diff --git a/ComfyUI/comfy_extras/nodes_upscale_model.py b/ComfyUI/comfy_extras/nodes_upscale_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..bca79ef2e1395471e52032f079f1edacf396d6d0
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_upscale_model.py
@@ -0,0 +1,84 @@
+import os
+import logging
+from spandrel import ModelLoader, ImageModelDescriptor
+from comfy import model_management
+import torch
+import comfy.utils
+import folder_paths
+
+try:
+    from spandrel_extra_arches import EXTRA_REGISTRY
+    from spandrel import MAIN_REGISTRY
+    MAIN_REGISTRY.add(*EXTRA_REGISTRY)
+    logging.info("Successfully imported spandrel_extra_arches: support for non commercial upscale models.")
+except:
+    pass
+
+class UpscaleModelLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model_name": (folder_paths.get_filename_list("upscale_models"), ),
+                             }}
+    RETURN_TYPES = ("UPSCALE_MODEL",)
+    FUNCTION = "load_model"
+
+    CATEGORY = "loaders"
+
+    def load_model(self, model_name):
+        model_path = folder_paths.get_full_path("upscale_models", model_name)
+        sd = comfy.utils.load_torch_file(model_path, safe_load=True)
+        if "module.layers.0.residual_group.blocks.0.norm1.weight" in sd:
+            sd = comfy.utils.state_dict_prefix_replace(sd, {"module.":""})
+        out = ModelLoader().load_from_state_dict(sd).eval()
+
+        if not isinstance(out, ImageModelDescriptor):
+            raise Exception("Upscale model must be a single-image model.")
+
+        return (out, )
+
+
+class ImageUpscaleWithModel:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "upscale_model": ("UPSCALE_MODEL",),
+                              "image": ("IMAGE",),
+                              }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "upscale"
+
+    CATEGORY = "image/upscaling"
+
+    def upscale(self, upscale_model, image):
+        device = model_management.get_torch_device()
+
+        memory_required = model_management.module_size(upscale_model.model)
+        memory_required += (512 * 512 * 3) * image.element_size() * max(upscale_model.scale, 1.0) * 384.0 #The 384.0 is an estimate of how much some of these models take, TODO: make it more accurate
+        memory_required += image.nelement() * image.element_size()
+        model_management.free_memory(memory_required, device)
+
+        upscale_model.to(device)
+        in_img = image.movedim(-1,-3).to(device)
+
+        tile = 512
+        overlap = 32
+
+        oom = True
+        while oom:
+            try:
+                steps = in_img.shape[0] * comfy.utils.get_tiled_scale_steps(in_img.shape[3], in_img.shape[2], tile_x=tile, tile_y=tile, overlap=overlap)
+                pbar = comfy.utils.ProgressBar(steps)
+                s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar)
+                oom = False
+            except model_management.OOM_EXCEPTION as e:
+                tile //= 2
+                if tile < 128:
+                    raise e
+
+        upscale_model.to("cpu")
+        s = torch.clamp(s.movedim(-3,-1), min=0, max=1.0)
+        return (s,)
+
+NODE_CLASS_MAPPINGS = {
+    "UpscaleModelLoader": UpscaleModelLoader,
+    "ImageUpscaleWithModel": ImageUpscaleWithModel
+}
diff --git a/ComfyUI/comfy_extras/nodes_video_model.py b/ComfyUI/comfy_extras/nodes_video_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..1a0189ed4a8b6eb774cb66dcc02d8e687afd349f
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_video_model.py
@@ -0,0 +1,134 @@
+import nodes
+import torch
+import comfy.utils
+import comfy.sd
+import folder_paths
+import comfy_extras.nodes_model_merging
+
+
+class ImageOnlyCheckpointLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "ckpt_name": (folder_paths.get_filename_list("checkpoints"), ),
+                             }}
+    RETURN_TYPES = ("MODEL", "CLIP_VISION", "VAE")
+    FUNCTION = "load_checkpoint"
+
+    CATEGORY = "loaders/video_models"
+
+    def load_checkpoint(self, ckpt_name, output_vae=True, output_clip=True):
+        ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name)
+        out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=False, output_clipvision=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
+        return (out[0], out[3], out[2])
+
+
+class SVD_img2vid_Conditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_vision": ("CLIP_VISION",),
+                              "init_image": ("IMAGE",),
+                              "vae": ("VAE",),
+                              "width": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 576, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
+                              "video_frames": ("INT", {"default": 14, "min": 1, "max": 4096}),
+                              "motion_bucket_id": ("INT", {"default": 127, "min": 1, "max": 1023}),
+                              "fps": ("INT", {"default": 6, "min": 1, "max": 1024}),
+                              "augmentation_level": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 10.0, "step": 0.01})
+                             }}
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/video_models"
+
+    def encode(self, clip_vision, init_image, vae, width, height, video_frames, motion_bucket_id, fps, augmentation_level):
+        output = clip_vision.encode_image(init_image)
+        pooled = output.image_embeds.unsqueeze(0)
+        pixels = comfy.utils.common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1)
+        encode_pixels = pixels[:,:,:,:3]
+        if augmentation_level > 0:
+            encode_pixels += torch.randn_like(pixels) * augmentation_level
+        t = vae.encode(encode_pixels)
+        positive = [[pooled, {"motion_bucket_id": motion_bucket_id, "fps": fps, "augmentation_level": augmentation_level, "concat_latent_image": t}]]
+        negative = [[torch.zeros_like(pooled), {"motion_bucket_id": motion_bucket_id, "fps": fps, "augmentation_level": augmentation_level, "concat_latent_image": torch.zeros_like(t)}]]
+        latent = torch.zeros([video_frames, 4, height // 8, width // 8])
+        return (positive, negative, {"samples":latent})
+
+class VideoLinearCFGGuidance:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "min_cfg": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.5, "round": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "sampling/video_models"
+
+    def patch(self, model, min_cfg):
+        def linear_cfg(args):
+            cond = args["cond"]
+            uncond = args["uncond"]
+            cond_scale = args["cond_scale"]
+
+            scale = torch.linspace(min_cfg, cond_scale, cond.shape[0], device=cond.device).reshape((cond.shape[0], 1, 1, 1))
+            return uncond + scale * (cond - uncond)
+
+        m = model.clone()
+        m.set_model_sampler_cfg_function(linear_cfg)
+        return (m, )
+
+class VideoTriangleCFGGuidance:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "min_cfg": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.5, "round": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "sampling/video_models"
+
+    def patch(self, model, min_cfg):
+        def linear_cfg(args):
+            cond = args["cond"]
+            uncond = args["uncond"]
+            cond_scale = args["cond_scale"]
+            period = 1.0
+            values = torch.linspace(0, 1, cond.shape[0], device=cond.device)
+            values = 2 * (values / period - torch.floor(values / period + 0.5)).abs()
+            scale = (values * (cond_scale - min_cfg) + min_cfg).reshape((cond.shape[0], 1, 1, 1))
+
+            return uncond + scale * (cond - uncond)
+
+        m = model.clone()
+        m.set_model_sampler_cfg_function(linear_cfg)
+        return (m, )
+
+class ImageOnlyCheckpointSave(comfy_extras.nodes_model_merging.CheckpointSave):
+    CATEGORY = "_for_testing"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "clip_vision": ("CLIP_VISION",),
+                              "vae": ("VAE",),
+                              "filename_prefix": ("STRING", {"default": "checkpoints/ComfyUI"}),},
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},}
+
+    def save(self, model, clip_vision, vae, filename_prefix, prompt=None, extra_pnginfo=None):
+        comfy_extras.nodes_model_merging.save_checkpoint(model, clip_vision=clip_vision, vae=vae, filename_prefix=filename_prefix, output_dir=self.output_dir, prompt=prompt, extra_pnginfo=extra_pnginfo)
+        return {}
+
+NODE_CLASS_MAPPINGS = {
+    "ImageOnlyCheckpointLoader": ImageOnlyCheckpointLoader,
+    "SVD_img2vid_Conditioning": SVD_img2vid_Conditioning,
+    "VideoLinearCFGGuidance": VideoLinearCFGGuidance,
+    "VideoTriangleCFGGuidance": VideoTriangleCFGGuidance,
+    "ImageOnlyCheckpointSave": ImageOnlyCheckpointSave,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "ImageOnlyCheckpointLoader": "Image Only Checkpoint Loader (img2vid model)",
+}
diff --git a/ComfyUI/comfy_extras/nodes_webcam.py b/ComfyUI/comfy_extras/nodes_webcam.py
new file mode 100644
index 0000000000000000000000000000000000000000..32a0ba2f67b1e9f6a84dc806d47dfcce61ab86b3
--- /dev/null
+++ b/ComfyUI/comfy_extras/nodes_webcam.py
@@ -0,0 +1,33 @@
+import nodes
+import folder_paths
+
+MAX_RESOLUTION = nodes.MAX_RESOLUTION
+
+
+class WebcamCapture(nodes.LoadImage):
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("WEBCAM", {}),
+                "width": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "height": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "capture_on_queue": ("BOOLEAN", {"default": True}),
+            }
+        }
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "load_capture"
+
+    CATEGORY = "image"
+
+    def load_capture(s, image, **kwargs):
+        return super().load_image(folder_paths.get_annotated_filepath(image))
+
+
+NODE_CLASS_MAPPINGS = {
+    "WebcamCapture": WebcamCapture,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "WebcamCapture": "Webcam Capture",
+}
\ No newline at end of file
diff --git a/ComfyUI/comfyui.log b/ComfyUI/comfyui.log
new file mode 100644
index 0000000000000000000000000000000000000000..d929fb17c64d356619c27ef40b60a413e0cb7ada
--- /dev/null
+++ b/ComfyUI/comfyui.log
@@ -0,0 +1,44 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-03 19:07] ** ComfyUI startup time: 2024-09-03 19:07:51.229834
+[2024-09-03 19:07] ** Platform: Linux
+[2024-09-03 19:07] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-03 19:07] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-03 19:07] ** ComfyUI Path: /home/itek/Desktop/ComfyUI
+[2024-09-03 19:07] ** Log path: /home/itek/Desktop/ComfyUI/comfyui.log
+[2024-09-03 19:07] 
+Prestartup times for custom nodes:
+[2024-09-03 19:07]    0.6 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 19:07] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 19:07] pytorch version: 2.3.0+cu118
+[2024-09-03 19:07] Set vram state to: NORMAL_VRAM
+[2024-09-03 19:07] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 19:07] Using pytorch cross attention
+[2024-09-03 19:07] [Prompt Server] web root: /home/itek/Desktop/ComfyUI/web
+[2024-09-03 19:07] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-03 19:07] ### ComfyUI Revision: 2643 [00a5d081] | Released on '2024-09-03'
+[2024-09-03 19:07] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 19:07] pytorch version: 2.3.0+cu118
+[2024-09-03 19:07] Set vram state to: NORMAL_VRAM
+[2024-09-03 19:07] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 19:07] Ib Custom Nodes: Loaded
+[2024-09-03 19:07] 
+Import times for custom nodes:
+[2024-09-03 19:07]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-03 19:07]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-03 19:07]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-03 19:07]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-03 19:07]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 19:07]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-03 19:07]    0.1 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-03 19:07] 
+[2024-09-03 19:07] Starting server
+
+[2024-09-03 19:07] To see the GUI go to: http://127.0.0.1:8188
+[2024-09-03 19:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-03 19:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-03 19:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-03 19:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-03 19:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-03 19:08] 
+Stopped server
diff --git a/ComfyUI/comfyui.prev.log b/ComfyUI/comfyui.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..e808d499791522d48418031b881f87e300eeb0ec
--- /dev/null
+++ b/ComfyUI/comfyui.prev.log
@@ -0,0 +1,44 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-03 19:03] ** ComfyUI startup time: 2024-09-03 19:03:45.473334
+[2024-09-03 19:03] ** Platform: Linux
+[2024-09-03 19:03] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-03 19:03] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-03 19:03] ** ComfyUI Path: /home/itek/Desktop/ComfyUI
+[2024-09-03 19:03] ** Log path: /home/itek/Desktop/ComfyUI/comfyui.log
+[2024-09-03 19:03] 
+Prestartup times for custom nodes:
+[2024-09-03 19:03]    0.6 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 19:03] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 19:03] pytorch version: 2.3.0+cu118
+[2024-09-03 19:03] Set vram state to: NORMAL_VRAM
+[2024-09-03 19:03] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 19:03] Using pytorch cross attention
+[2024-09-03 19:03] [Prompt Server] web root: /home/itek/Desktop/ComfyUI/web
+[2024-09-03 19:03] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-03 19:03] ### ComfyUI Revision: 2643 [00a5d081] | Released on '2024-09-03'
+[2024-09-03 19:03] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 19:03] pytorch version: 2.3.0+cu118
+[2024-09-03 19:03] Set vram state to: NORMAL_VRAM
+[2024-09-03 19:03] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 19:03] Ib Custom Nodes: Loaded
+[2024-09-03 19:03] 
+Import times for custom nodes:
+[2024-09-03 19:03]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-03 19:03]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-03 19:03]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-03 19:03]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-03 19:03]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-03 19:03]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 19:03]    0.1 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-03 19:03] 
+[2024-09-03 19:03] Starting server
+
+[2024-09-03 19:03] To see the GUI go to: http://127.0.0.1:8188
+[2024-09-03 19:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-03 19:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-03 19:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-03 19:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-03 19:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-03 19:03] 
+Stopped server
diff --git a/ComfyUI/comfyui.prev2.log b/ComfyUI/comfyui.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..dc4e4a3a91936d8f61f9baaaf2fa0cb2b363134e
--- /dev/null
+++ b/ComfyUI/comfyui.prev2.log
@@ -0,0 +1,63 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-03 17:40] ** ComfyUI startup time: 2024-09-03 17:40:19.632235
+[2024-09-03 17:40] ** Platform: Linux
+[2024-09-03 17:40] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-03 17:40] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-03 17:40] ** ComfyUI Path: /home/itek/Desktop/ComfyUI
+[2024-09-03 17:40] ** Log path: /home/itek/Desktop/ComfyUI/comfyui.log
+[2024-09-03 17:40] 
+Prestartup times for custom nodes:
+[2024-09-03 17:40]    0.6 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 17:40] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 17:40] pytorch version: 2.3.0+cu118
+[2024-09-03 17:40] Set vram state to: NORMAL_VRAM
+[2024-09-03 17:40] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 17:40] Using pytorch cross attention
+[2024-09-03 17:40] [Prompt Server] web root: /home/itek/Desktop/ComfyUI/web
+[2024-09-03 17:40] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-03 17:40] ### ComfyUI Revision: 2643 [00a5d081] | Released on '2024-09-03'
+[2024-09-03 17:40] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 17:40] pytorch version: 2.3.0+cu118
+[2024-09-03 17:40] Set vram state to: NORMAL_VRAM
+[2024-09-03 17:40] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 17:40] Ib Custom Nodes: Loaded
+[2024-09-03 17:40] 
+Import times for custom nodes:
+[2024-09-03 17:40]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-03 17:40]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-03 17:40]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-03 17:40]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-03 17:40]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-03 17:40]    0.0 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 17:40]    0.1 seconds: /home/itek/Desktop/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-03 17:40] 
+[2024-09-03 17:40] Starting server
+
+[2024-09-03 17:40] To see the GUI go to: http://127.0.0.1:8188
+[2024-09-03 17:40] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-03 17:40] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-03 17:40] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-03 17:40] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-03 17:40] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-03 17:40] got prompt
+[2024-09-03 17:40] LivePortrait using fp16
+[2024-09-03 17:40] Load appearance_feature_extractor done.
+[2024-09-03 17:40] Load motion_extractor done.
+[2024-09-03 17:40] Load warping_module done.
+[2024-09-03 17:40] Load spade_generator done.
+[2024-09-03 17:40] Load stitching_retargeting_module done.
+[2024-09-03 17:40] /home/itek/miniconda3/envs/ai/lib/python3.12/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-03 17:40] 
Detecting, cropping, and processing..: 100%|█| 1/1 [00:00<00:00,  2.41it/s
Detecting, cropping, and processing..: 100%|█| 1/1 [00:00<00:00,  2.40it/s
+[2024-09-03 17:40] 
Processing driving images...: 100%|████| 144/144 [00:01<00:00, 127.09it/s]
+[2024-09-03 17:40] /home/itek/miniconda3/envs/ai/lib/python3.12/site-packages/torch/nn/modules/conv.py:605: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv3d(
+[2024-09-03 17:40] /home/itek/miniconda3/envs/ai/lib/python3.12/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv2d(input, weight, bias, self.stride,
+[2024-09-03 17:40] 
Animating...: 100%|█████████████████████| 144/144 [00:07<00:00, 19.91it/s]
Animating...: 100%|█████████████████████| 144/144 [00:07<00:00, 20.25it/s]
+[2024-09-03 17:40] Total frames: 144
+[2024-09-03 17:41] 
Compositing..: 100%|███████████████████| 144/144 [00:00<00:00, 194.30it/s]
+[2024-09-03 17:41] Prompt executed in 15.48 seconds
+[2024-09-03 17:41] 
+Stopped server
diff --git a/ComfyUI/comfyui_3000.log b/ComfyUI/comfyui_3000.log
new file mode 100644
index 0000000000000000000000000000000000000000..6ce33eacaf812ad747b7260184e34214f48381ff
--- /dev/null
+++ b/ComfyUI/comfyui_3000.log
@@ -0,0 +1,106 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-13 07:21] ** ComfyUI startup time: 2024-09-13 07:21:46.627365
+[2024-09-13 07:21] ** Platform: Linux
+[2024-09-13 07:21] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-13 07:21] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-13 07:21] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-13 07:21] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-13 07:21] 
+Prestartup times for custom nodes:
+[2024-09-13 07:21]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-13 07:21] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-13 07:21] pytorch version: 2.4.1+cu121
+[2024-09-13 07:21] Set vram state to: NORMAL_VRAM
+[2024-09-13 07:21] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-13 07:21] Using pytorch cross attention
+[2024-09-13 07:21] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-13 07:21] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-13 07:21] Ib Custom Nodes: Loaded
+[2024-09-13 07:21] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-13 07:21] pytorch version: 2.4.1+cu121
+[2024-09-13 07:21] Set vram state to: NORMAL_VRAM
+[2024-09-13 07:21] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-13 07:21] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-13 07:21] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-13 07:21] 
+Import times for custom nodes:
+[2024-09-13 07:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-13 07:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-13 07:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-13 07:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-13 07:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-13 07:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-13 07:21]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-13 07:21]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-13 07:21]    0.6 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-13 07:21] 
+[2024-09-13 07:21] Starting server
+
+[2024-09-13 07:21] To see the GUI go to: http://0.0.0.0:3000
+[2024-09-13 07:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-13 07:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-13 07:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-13 07:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-13 07:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-13 07:22] Failed to get ComfyUI version: Command '['git', 'describe', '--tags']' returned non-zero exit status 128.
+[2024-09-13 07:22] FETCH DATA from: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
+[2024-09-13 07:23] Failed to get ComfyUI version: Command '['git', 'describe', '--tags']' returned non-zero exit status 128.
+[2024-09-13 07:23] FETCH DATA from: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
+[2024-09-13 07:25] Failed to get ComfyUI version: Command '['git', 'describe', '--tags']' returned non-zero exit status 128.
+[2024-09-13 07:25] FETCH DATA from: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
+[2024-09-13 07:25] Failed to get ComfyUI version: Command '['git', 'describe', '--tags']' returned non-zero exit status 128.
+[2024-09-13 07:25] FETCH DATA from: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
+[2024-09-13 07:35] got prompt
+[2024-09-13 07:35] Prepare source...
+[2024-09-13 07:35] Load pipeline...
+[2024-09-13 07:35] Uses CUDA device.
+[2024-09-13 07:35] 
+[2024-09-13 07:35] 0: 640x576 1 face, 47.0ms
+[2024-09-13 07:35] Speed: 6.8ms preprocess, 47.0ms inference, 498.8ms postprocess per image at shape (1, 3, 640, 576)
+[2024-09-13 07:35] w, h:(1029, 1189)
+[2024-09-13 07:35] diff, min_diff, best_box:(12.77947998046875, 1029, [272.86078, 202.43903, 730.58026, 881.3797])
+[2024-09-13 07:35] Prompt executed in 3.01 seconds
+[2024-09-13 07:36] got prompt
+[2024-09-13 07:36] Prompt executed in 0.32 seconds
+[2024-09-13 07:36] got prompt
+[2024-09-13 07:36] Prompt executed in 0.32 seconds
+[2024-09-13 07:36] got prompt
+[2024-09-13 07:36] Prompt executed in 0.32 seconds
+[2024-09-13 07:36] got prompt
+[2024-09-13 07:36] Prompt executed in 0.32 seconds
+[2024-09-13 07:36] got prompt
+[2024-09-13 07:36] Prompt executed in 0.32 seconds
+[2024-09-13 07:37] got prompt
+[2024-09-13 07:37] 
+[2024-09-13 07:37] 0: 640x576 1 face, 7.2ms
+[2024-09-13 07:37] Speed: 2.4ms preprocess, 7.2ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 576)
+[2024-09-13 07:37] w, h:(1029, 1189)
+[2024-09-13 07:37] diff, min_diff, best_box:(12.77947998046875, 1029, [272.86078, 202.43903, 730.58026, 881.3797])
+[2024-09-13 07:37] Prompt executed in 0.37 seconds
+[2024-09-13 07:37] got prompt
+[2024-09-13 07:37] Prompt executed in 0.00 seconds
+[2024-09-13 07:37] got prompt
+[2024-09-13 07:37] Prompt executed in 0.00 seconds
+[2024-09-13 07:37] got prompt
+[2024-09-13 07:37] !!! Exception during processing !!! 'NoneType' object is not subscriptable
+[2024-09-13 07:37] Traceback (most recent call last):
+  File "/home/ubuntu/AI/ComfyUI/execution.py", line 317, in execute
+    output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
+  File "/home/ubuntu/AI/ComfyUI/execution.py", line 192, in get_output_data
+    return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
+  File "/home/ubuntu/AI/ComfyUI/execution.py", line 169, in _map_node_over_list
+    process_inputs(input_dict, i)
+  File "/home/ubuntu/AI/ComfyUI/execution.py", line 158, in process_inputs
+    results.append(getattr(obj, func)(**inputs))
+  File "/home/ubuntu/AI/ComfyUI/nodes.py", line 1494, in save_images
+    full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0])
+TypeError: 'NoneType' object is not subscriptable
+
+[2024-09-13 07:37] Prompt executed in 0.01 seconds
+[2024-09-13 07:37] Failed to get ComfyUI version: Command '['git', 'describe', '--tags']' returned non-zero exit status 128.
+[2024-09-13 07:37] got prompt
+[2024-09-13 07:37] Prompt executed in 0.32 seconds
+[2024-09-13 07:39] 
+Stopped server
diff --git a/ComfyUI/comfyui_3000.prev.log b/ComfyUI/comfyui_3000.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..ddcd41521d1d5e047dc1ff95383dfd05ce49b1a6
--- /dev/null
+++ b/ComfyUI/comfyui_3000.prev.log
@@ -0,0 +1,144 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-10 05:03] ** ComfyUI startup time: 2024-09-10 05:03:35.000910
+[2024-09-10 05:03] ** Platform: Linux
+[2024-09-10 05:03] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-10 05:03] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-10 05:03] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-10 05:03] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-10 05:03] 
+Prestartup times for custom nodes:
+[2024-09-10 05:03]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-10 05:03] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-10 05:03] pytorch version: 2.4.1+cu121
+[2024-09-10 05:03] Set vram state to: NORMAL_VRAM
+[2024-09-10 05:03] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-10 05:03] Using pytorch cross attention
+[2024-09-10 05:03] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-10 05:03] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-10 05:03] Ib Custom Nodes: Loaded
+[2024-09-10 05:03] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-10 05:03] pytorch version: 2.4.1+cu121
+[2024-09-10 05:03] Set vram state to: NORMAL_VRAM
+[2024-09-10 05:03] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-10 05:03] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-10 05:03] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-10 05:03] 
+Import times for custom nodes:
+[2024-09-10 05:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-10 05:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-10 05:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-10 05:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-10 05:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-10 05:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-10 05:03]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-10 05:03]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-10 05:03]    0.6 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-10 05:03] 
+[2024-09-10 05:03] Starting server
+
+[2024-09-10 05:03] To see the GUI go to: http://0.0.0.0:3000
+[2024-09-10 05:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-10 05:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-10 05:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-10 05:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-10 05:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-10 05:04] Failed to get ComfyUI version: Command '['git', 'describe', '--tags']' returned non-zero exit status 128.
+[2024-09-10 05:04] FETCH DATA from: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
+[2024-09-10 05:04] got prompt
+[2024-09-10 05:04] Prepare source...
+[2024-09-10 05:04] Load pipeline...
+[2024-09-10 05:04] Uses CUDA device.
+[2024-09-10 05:04] 
+[2024-09-10 05:04] 0: 640x576 1 face, 50.5ms
+[2024-09-10 05:04] Speed: 6.9ms preprocess, 50.5ms inference, 494.7ms postprocess per image at shape (1, 3, 640, 576)
+[2024-09-10 05:04] w, h:(1029, 1189)
+[2024-09-10 05:04] diff, min_diff, best_box:(12.77947998046875, 1029, [272.86078, 202.43903, 730.58026, 881.3797])
+[2024-09-10 05:05] Prompt executed in 3.01 seconds
+[2024-09-10 05:05] got prompt
+[2024-09-10 05:05] Prompt executed in 0.32 seconds
+[2024-09-10 05:05] got prompt
+[2024-09-10 05:05] Prompt executed in 0.32 seconds
+[2024-09-10 05:05] got prompt
+[2024-09-10 05:05] Prompt executed in 0.32 seconds
+[2024-09-10 05:05] got prompt
+[2024-09-10 05:05] Prompt executed in 0.32 seconds
+[2024-09-10 05:06] got prompt
+[2024-09-10 05:06] Prompt executed in 0.32 seconds
+[2024-09-10 05:06] got prompt
+[2024-09-10 05:06] Prompt executed in 0.32 seconds
+[2024-09-10 05:06] got prompt
+[2024-09-10 05:06] Prompt executed in 0.31 seconds
+[2024-09-10 05:06] got prompt
+[2024-09-10 05:06] Prompt executed in 0.00 seconds
+[2024-09-10 05:06] got prompt
+[2024-09-10 05:06] Prompt executed in 0.32 seconds
+[2024-09-10 05:06] got prompt
+[2024-09-10 05:06] Prompt executed in 0.32 seconds
+[2024-09-10 05:07] got prompt
+[2024-09-10 05:07] Prompt executed in 0.32 seconds
+[2024-09-10 05:07] got prompt
+[2024-09-10 05:07] Prompt executed in 0.32 seconds
+[2024-09-10 05:07] got prompt
+[2024-09-10 05:07] Prompt executed in 0.32 seconds
+[2024-09-10 05:08] got prompt
+[2024-09-10 05:08] Prompt executed in 0.00 seconds
+[2024-09-10 05:08] got prompt
+[2024-09-10 05:08] Prompt executed in 0.00 seconds
+[2024-09-10 05:09] got prompt
+[2024-09-10 05:09] Prompt executed in 0.32 seconds
+[2024-09-10 05:10] got prompt
+[2024-09-10 05:10] Prompt executed in 0.32 seconds
+[2024-09-10 05:10] got prompt
+[2024-09-10 05:10] Prompt executed in 0.32 seconds
+[2024-09-10 05:10] got prompt
+[2024-09-10 05:10] Prompt executed in 0.32 seconds
+[2024-09-10 05:10] got prompt
+[2024-09-10 05:10] Prompt executed in 0.32 seconds
+[2024-09-10 05:40] got prompt
+[2024-09-10 05:40] Prepare source...
+[2024-09-10 05:40] 
+[2024-09-10 05:40] 0: 384x640 1 face, 54.9ms
+[2024-09-10 05:40] Speed: 1.8ms preprocess, 54.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)
+[2024-09-10 05:40] w, h:(3840, 2160)
+[2024-09-10 05:40] diff, min_diff, best_box:(106.381103515625, 3840, [1298.5425, 678.96027, 2328.6953, 1929.086])
+[2024-09-10 05:40] Prompt executed in 1.67 seconds
+[2024-09-10 05:41] got prompt
+[2024-09-10 05:41] Prompt executed in 0.01 seconds
+[2024-09-10 05:57] got prompt
+[2024-09-10 05:57] Prompt executed in 0.51 seconds
+[2024-09-10 06:54] got prompt
+[2024-09-10 06:54] Prompt executed in 0.81 seconds
+[2024-09-10 06:56] got prompt
+[2024-09-10 06:56] Prompt executed in 0.50 seconds
+[2024-09-10 07:02] got prompt
+[2024-09-10 07:02] Prompt executed in 0.51 seconds
+[2024-09-10 07:03] got prompt
+[2024-09-10 07:03] Prompt executed in 0.81 seconds
+[2024-09-10 07:03] got prompt
+[2024-09-10 07:03] Prompt executed in 0.81 seconds
+[2024-09-10 07:05] got prompt
+[2024-09-10 07:05] Prepare source...
+[2024-09-10 07:05] 
+[2024-09-10 07:05] 0: 640x576 1 face, 7.0ms
+[2024-09-10 07:05] Speed: 2.7ms preprocess, 7.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 576)
+[2024-09-10 07:05] w, h:(1029, 1189)
+[2024-09-10 07:05] diff, min_diff, best_box:(12.77947998046875, 1029, [272.86078, 202.43903, 730.58026, 881.3797])
+[2024-09-10 07:05] Prompt executed in 0.38 seconds
+[2024-09-10 07:05] got prompt
+[2024-09-10 07:05] Prompt executed in 0.31 seconds
+[2024-09-10 07:05] got prompt
+[2024-09-10 07:05] Prepare source...
+[2024-09-10 07:05] 
+[2024-09-10 07:05] 0: 640x576 1 face, 6.1ms
+[2024-09-10 07:05] Speed: 2.6ms preprocess, 6.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 576)
+[2024-09-10 07:05] w, h:(1029, 1189)
+[2024-09-10 07:05] diff, min_diff, best_box:(12.77947998046875, 1029, [272.86078, 202.43903, 730.58026, 881.3797])
+[2024-09-10 07:05] Prompt executed in 0.37 seconds
+[2024-09-10 07:05] got prompt
+[2024-09-10 07:05] Prompt executed in 0.32 seconds
+[2024-09-10 07:05] got prompt
+[2024-09-10 07:05] Prompt executed in 0.32 seconds
+[2024-09-10 07:06] got prompt
+[2024-09-10 07:06] Prompt executed in 0.32 seconds
diff --git a/ComfyUI/comfyui_3000.prev2.log b/ComfyUI/comfyui_3000.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..071859bb6b97f61182f94fd7eb8746ec72f4f0a3
--- /dev/null
+++ b/ComfyUI/comfyui_3000.prev2.log
@@ -0,0 +1,46 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-09 12:12] ** ComfyUI startup time: 2024-09-09 12:12:37.177014
+[2024-09-09 12:12] ** Platform: Linux
+[2024-09-09 12:12] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-09 12:12] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-09 12:12] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-09 12:12] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-09 12:12] 
+Prestartup times for custom nodes:
+[2024-09-09 12:12]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 12:12] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 12:12] pytorch version: 2.4.1+cu121
+[2024-09-09 12:12] Set vram state to: NORMAL_VRAM
+[2024-09-09 12:12] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 12:12] Using pytorch cross attention
+[2024-09-09 12:12] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-09 12:12] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-09 12:12] Ib Custom Nodes: Loaded
+[2024-09-09 12:12] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 12:12] pytorch version: 2.4.1+cu121
+[2024-09-09 12:12] Set vram state to: NORMAL_VRAM
+[2024-09-09 12:12] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 12:12] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-09 12:12] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-09 12:12] 
+Import times for custom nodes:
+[2024-09-09 12:12]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-09 12:12]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-09 12:12]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-09 12:12]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-09 12:12]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-09 12:12]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 12:12]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-09 12:12]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-09 12:12]    0.6 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-09 12:12] 
+[2024-09-09 12:12] Starting server
+
+[2024-09-09 12:12] To see the GUI go to: http://127.0.0.1:3000
+[2024-09-09 12:12] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-09 12:12] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-09 12:12] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-09 12:12] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-09 12:12] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
diff --git a/ComfyUI/comfyui_3001.log b/ComfyUI/comfyui_3001.log
new file mode 100644
index 0000000000000000000000000000000000000000..7e11169ddb630915b55312a637ebffd6f4d6661f
--- /dev/null
+++ b/ComfyUI/comfyui_3001.log
@@ -0,0 +1,47 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 13:24] ** ComfyUI startup time: 2024-09-06 13:24:04.942256
+[2024-09-06 13:24] ** Platform: Linux
+[2024-09-06 13:24] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 13:24] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 13:24] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 13:24] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 13:24] 
+Prestartup times for custom nodes:
+[2024-09-06 13:24]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:24] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:24] pytorch version: 2.4.1+cu121
+[2024-09-06 13:24] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:24] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:24] Using pytorch cross attention
+[2024-09-06 13:24] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 13:24] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 13:24] Ib Custom Nodes: Loaded
+[2024-09-06 13:24] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:24] pytorch version: 2.4.1+cu121
+[2024-09-06 13:24] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:24] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:24] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 13:24] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 13:24] 
+Import times for custom nodes:
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 13:24]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 13:24]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 13:24] 
+[2024-09-06 13:24] Starting server
+
+[2024-09-06 13:24] To see the GUI go to: http://0.0.0.0:3001
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 13:38] 
+Stopped server
diff --git a/ComfyUI/comfyui_3001.prev.log b/ComfyUI/comfyui_3001.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..7069e5d2cf4bbab5c1c55cfd9c3b9477eb7106d6
--- /dev/null
+++ b/ComfyUI/comfyui_3001.prev.log
@@ -0,0 +1,45 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 13:21] ** ComfyUI startup time: 2024-09-06 13:21:37.076138
+[2024-09-06 13:21] ** Platform: Linux
+[2024-09-06 13:21] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 13:21] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 13:21] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 13:21] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 13:21] 
+Prestartup times for custom nodes:
+[2024-09-06 13:21]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:21] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:21] pytorch version: 2.4.1+cu121
+[2024-09-06 13:21] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:21] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:21] Using pytorch cross attention
+[2024-09-06 13:21] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 13:21] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 13:21] Ib Custom Nodes: Loaded
+[2024-09-06 13:21] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:21] pytorch version: 2.4.1+cu121
+[2024-09-06 13:21] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:21] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:21] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 13:21] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 13:21] 
+Import times for custom nodes:
+[2024-09-06 13:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 13:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 13:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 13:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 13:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 13:21]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 13:21]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 13:21] 
+[2024-09-06 13:21] Starting server
+
+[2024-09-06 13:21] To see the GUI go to: http://0.0.0.0:3001
+[2024-09-06 13:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 13:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 13:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 13:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 13:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
diff --git a/ComfyUI/comfyui_3001.prev2.log b/ComfyUI/comfyui_3001.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..1fe4b21139f60f6c0e21d128433ac570b9d58391
--- /dev/null
+++ b/ComfyUI/comfyui_3001.prev2.log
@@ -0,0 +1,45 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 13:20] ** ComfyUI startup time: 2024-09-06 13:20:55.775216
+[2024-09-06 13:20] ** Platform: Linux
+[2024-09-06 13:20] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 13:20] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 13:20] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 13:20] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 13:20] 
+Prestartup times for custom nodes:
+[2024-09-06 13:20]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:20] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:20] pytorch version: 2.4.1+cu121
+[2024-09-06 13:20] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:20] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:20] Using pytorch cross attention
+[2024-09-06 13:20] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 13:20] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 13:20] Ib Custom Nodes: Loaded
+[2024-09-06 13:20] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:20] pytorch version: 2.4.1+cu121
+[2024-09-06 13:20] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:20] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:20] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 13:20] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 13:20] 
+Import times for custom nodes:
+[2024-09-06 13:20]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 13:20]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 13:20]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 13:20]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 13:20]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 13:20]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:20]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 13:20]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 13:20] 
+[2024-09-06 13:20] Starting server
+
+[2024-09-06 13:20] To see the GUI go to: http://0.0.0.0:3001
+[2024-09-06 13:20] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 13:20] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 13:20] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 13:20] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 13:20] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
diff --git a/ComfyUI/comfyui_3002.log b/ComfyUI/comfyui_3002.log
new file mode 100644
index 0000000000000000000000000000000000000000..b3c15ecc2f712c4899553d9127cf6d9919fad23b
--- /dev/null
+++ b/ComfyUI/comfyui_3002.log
@@ -0,0 +1,56 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 13:24] ** ComfyUI startup time: 2024-09-06 13:24:11.810856
+[2024-09-06 13:24] ** Platform: Linux
+[2024-09-06 13:24] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 13:24] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 13:24] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 13:24] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 13:24] 
+Prestartup times for custom nodes:
+[2024-09-06 13:24]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:24] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:24] pytorch version: 2.4.1+cu121
+[2024-09-06 13:24] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:24] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:24] Using pytorch cross attention
+[2024-09-06 13:24] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 13:24] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 13:24] Ib Custom Nodes: Loaded
+[2024-09-06 13:24] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:24] pytorch version: 2.4.1+cu121
+[2024-09-06 13:24] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:24] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:24] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 13:24] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 13:24] 
+Import times for custom nodes:
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 13:24]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 13:24]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 13:24] 
+[2024-09-06 13:24] Traceback (most recent call last):
+[2024-09-06 13:24]   File "/home/ubuntu/AI/ComfyUI/main.py", line 270, in <module>
+[2024-09-06 13:24]     loop.run_until_complete(run(server, address=args.listen, port=args.port, verbose=not args.dont_print_server, call_on_start=call_on_start))
+[2024-09-06 13:24]   File "/usr/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
+[2024-09-06 13:24]     return future.result()
+[2024-09-06 13:24]   File "/home/ubuntu/AI/ComfyUI/main.py", line 163, in run
+[2024-09-06 13:24]     await asyncio.gather(server.start(address, port, verbose, call_on_start), server.publish_loop())
+[2024-09-06 13:24]   File "/home/ubuntu/AI/ComfyUI/server.py", line 753, in start
+[2024-09-06 13:24]     await site.start()
+[2024-09-06 13:24]   File "/home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/aiohttp/web_runner.py", line 119, in start
+[2024-09-06 13:24]     self._server = await loop.create_server(
+[2024-09-06 13:24]   File "/usr/lib/python3.10/asyncio/base_events.py", line 1519, in create_server
+[2024-09-06 13:24]     raise OSError(err.errno, 'error while attempting '
+[2024-09-06 13:24] OSError: [Errno 98] error while attempting to bind on address ('0.0.0.0', 3002): address already in use
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
diff --git a/ComfyUI/comfyui_3002.prev.log b/ComfyUI/comfyui_3002.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..5c3e1450c431fa6001ef8e248988031d8adf9c20
--- /dev/null
+++ b/ComfyUI/comfyui_3002.prev.log
@@ -0,0 +1,62 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 09:28] ** ComfyUI startup time: 2024-09-06 09:28:56.003091
+[2024-09-06 09:28] ** Platform: Linux
+[2024-09-06 09:28] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 09:28] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 09:28] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 09:28] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 09:28] 
+Prestartup times for custom nodes:
+[2024-09-06 09:28]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 09:28] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 09:28] pytorch version: 2.4.1+cu121
+[2024-09-06 09:28] Set vram state to: NORMAL_VRAM
+[2024-09-06 09:28] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 09:28] Using pytorch cross attention
+[2024-09-06 09:28] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 09:28] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 09:28] Ib Custom Nodes: Loaded
+[2024-09-06 09:28] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 09:28] pytorch version: 2.4.1+cu121
+[2024-09-06 09:28] Set vram state to: NORMAL_VRAM
+[2024-09-06 09:28] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 09:28] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 09:28] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 09:28] 
+Import times for custom nodes:
+[2024-09-06 09:28]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 09:28]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 09:28]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 09:28]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 09:28]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 09:28]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 09:28]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 09:28]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 09:28] 
+[2024-09-06 09:28] Starting server
+
+[2024-09-06 09:28] To see the GUI go to: http://0.0.0.0:3002
+[2024-09-06 09:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 09:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 09:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 09:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 09:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 09:29] got prompt
+[2024-09-06 09:29] LivePortrait using fp16
+[2024-09-06 09:29] Load appearance_feature_extractor done.
+[2024-09-06 09:29] Load motion_extractor done.
+[2024-09-06 09:29] Load warping_module done.
+[2024-09-06 09:29] Load spade_generator done.
+[2024-09-06 09:29] Load stitching_retargeting_module done.
+[2024-09-06 09:29] /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py:102: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self.model = torch.load(ckpt_path).to(self.device)
+[2024-09-06 09:29] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-06 09:29] 
Detecting, cropping, and processing..: 100%|██████████| 1/1 [00:00<00:00,  1.68it/s]
Detecting, cropping, and processing..: 100%|██████████| 1/1 [00:00<00:00,  1.68it/s]
+[2024-09-06 09:29] 
Processing driving images...: 100%|██████████| 57/57 [00:00<00:00, 89.56it/s]
+[2024-09-06 09:29] 
Animating...: 100%|██████████| 57/57 [00:03<00:00, 18.06it/s]
Animating...: 100%|██████████| 57/57 [00:03<00:00, 17.24it/s]
+[2024-09-06 09:29] Total frames: 57
+[2024-09-06 09:29] 
Compositing..: 100%|██████████| 57/57 [00:00<00:00, 191.62it/s]
+[2024-09-06 09:29] Prompt executed in 9.90 seconds
diff --git a/ComfyUI/comfyui_3003.log b/ComfyUI/comfyui_3003.log
new file mode 100644
index 0000000000000000000000000000000000000000..973ba46ddf37339e654aca64341a1e9b2fb2a3f1
--- /dev/null
+++ b/ComfyUI/comfyui_3003.log
@@ -0,0 +1,56 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 13:24] ** ComfyUI startup time: 2024-09-06 13:24:18.016198
+[2024-09-06 13:24] ** Platform: Linux
+[2024-09-06 13:24] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 13:24] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 13:24] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 13:24] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 13:24] 
+Prestartup times for custom nodes:
+[2024-09-06 13:24]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:24] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:24] pytorch version: 2.4.1+cu121
+[2024-09-06 13:24] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:24] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:24] Using pytorch cross attention
+[2024-09-06 13:24] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 13:24] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 13:24] Ib Custom Nodes: Loaded
+[2024-09-06 13:24] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:24] pytorch version: 2.4.1+cu121
+[2024-09-06 13:24] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:24] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:24] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 13:24] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 13:24] 
+Import times for custom nodes:
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:24]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 13:24]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 13:24] 
+[2024-09-06 13:24] Traceback (most recent call last):
+[2024-09-06 13:24]   File "/home/ubuntu/AI/ComfyUI/main.py", line 270, in <module>
+[2024-09-06 13:24]     loop.run_until_complete(run(server, address=args.listen, port=args.port, verbose=not args.dont_print_server, call_on_start=call_on_start))
+[2024-09-06 13:24]   File "/usr/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
+[2024-09-06 13:24]     return future.result()
+[2024-09-06 13:24]   File "/home/ubuntu/AI/ComfyUI/main.py", line 163, in run
+[2024-09-06 13:24]     await asyncio.gather(server.start(address, port, verbose, call_on_start), server.publish_loop())
+[2024-09-06 13:24]   File "/home/ubuntu/AI/ComfyUI/server.py", line 753, in start
+[2024-09-06 13:24]     await site.start()
+[2024-09-06 13:24]   File "/home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/aiohttp/web_runner.py", line 119, in start
+[2024-09-06 13:24]     self._server = await loop.create_server(
+[2024-09-06 13:24]   File "/usr/lib/python3.10/asyncio/base_events.py", line 1519, in create_server
+[2024-09-06 13:24]     raise OSError(err.errno, 'error while attempting '
+[2024-09-06 13:24] OSError: [Errno 98] error while attempting to bind on address ('0.0.0.0', 3003): address already in use
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
diff --git a/ComfyUI/comfyui_3003.prev.log b/ComfyUI/comfyui_3003.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..acb429ab29c06dcce5258b6cf1af7de645bc4709
--- /dev/null
+++ b/ComfyUI/comfyui_3003.prev.log
@@ -0,0 +1,47 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 13:24] ** ComfyUI startup time: 2024-09-06 13:24:17.274488
+[2024-09-06 13:24] ** Platform: Linux
+[2024-09-06 13:24] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 13:24] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 13:24] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 13:24] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 13:24] 
+Prestartup times for custom nodes:
+[2024-09-06 13:24]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:24] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:24] pytorch version: 2.4.1+cu121
+[2024-09-06 13:24] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:24] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:24] Using pytorch cross attention
+[2024-09-06 13:24] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 13:24] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 13:24] Ib Custom Nodes: Loaded
+[2024-09-06 13:24] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:24] pytorch version: 2.4.1+cu121
+[2024-09-06 13:24] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:24] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:24] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 13:24] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 13:24] 
+Import times for custom nodes:
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 13:24]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 13:24]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 13:24] 
+[2024-09-06 13:24] Starting server
+
+[2024-09-06 13:24] To see the GUI go to: http://0.0.0.0:3003
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 13:38] 
+Stopped server
diff --git a/ComfyUI/comfyui_3004.log b/ComfyUI/comfyui_3004.log
new file mode 100644
index 0000000000000000000000000000000000000000..fdccbde96c119b21610e7b08234f8a2e92e670e4
--- /dev/null
+++ b/ComfyUI/comfyui_3004.log
@@ -0,0 +1,45 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 13:24] ** ComfyUI startup time: 2024-09-06 13:24:23.447716
+[2024-09-06 13:24] ** Platform: Linux
+[2024-09-06 13:24] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 13:24] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 13:24] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 13:24] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 13:24] 
+Prestartup times for custom nodes:
+[2024-09-06 13:24]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:24] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:24] pytorch version: 2.4.1+cu121
+[2024-09-06 13:24] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:24] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:24] Using pytorch cross attention
+[2024-09-06 13:24] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 13:24] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 13:24] Ib Custom Nodes: Loaded
+[2024-09-06 13:24] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:24] pytorch version: 2.4.1+cu121
+[2024-09-06 13:24] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:24] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:24] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 13:24] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 13:24] 
+Import times for custom nodes:
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 13:24]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 13:24]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 13:24]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 13:24] 
+[2024-09-06 13:24] Starting server
+
+[2024-09-06 13:24] To see the GUI go to: http://0.0.0.0:3004
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 13:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
diff --git a/ComfyUI/comfyui_3005.log b/ComfyUI/comfyui_3005.log
new file mode 100644
index 0000000000000000000000000000000000000000..0eb3e9bf880d6a3a6b4afc9822cb823feccc2f5a
--- /dev/null
+++ b/ComfyUI/comfyui_3005.log
@@ -0,0 +1,47 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 13:34] ** ComfyUI startup time: 2024-09-06 13:34:55.743306
+[2024-09-06 13:34] ** Platform: Linux
+[2024-09-06 13:34] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 13:34] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 13:34] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 13:34] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 13:34] 
+Prestartup times for custom nodes:
+[2024-09-06 13:34]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:34] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:34] pytorch version: 2.4.1+cu121
+[2024-09-06 13:34] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:34] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:34] Using pytorch cross attention
+[2024-09-06 13:34] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 13:34] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 13:34] Ib Custom Nodes: Loaded
+[2024-09-06 13:34] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:34] pytorch version: 2.4.1+cu121
+[2024-09-06 13:34] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:34] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:34] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 13:34] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 13:34] 
+Import times for custom nodes:
+[2024-09-06 13:34]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 13:34]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 13:34]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 13:34]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 13:34]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:34]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 13:34]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 13:34]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 13:34] 
+[2024-09-06 13:34] Starting server
+
+[2024-09-06 13:34] To see the GUI go to: http://0.0.0.0:3005
+[2024-09-06 13:34] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 13:34] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 13:34] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 13:34] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 13:34] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 13:38] 
+Stopped server
diff --git a/ComfyUI/comfyui_3006.log b/ComfyUI/comfyui_3006.log
new file mode 100644
index 0000000000000000000000000000000000000000..ba9666ac65a49ff8043e9fcc0ad7b8c9f27662a4
--- /dev/null
+++ b/ComfyUI/comfyui_3006.log
@@ -0,0 +1,47 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 13:37] ** ComfyUI startup time: 2024-09-06 13:37:37.399602
+[2024-09-06 13:37] ** Platform: Linux
+[2024-09-06 13:37] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 13:37] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 13:37] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 13:37] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 13:37] 
+Prestartup times for custom nodes:
+[2024-09-06 13:37]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:37] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:37] pytorch version: 2.4.1+cu121
+[2024-09-06 13:37] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:37] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:37] Using pytorch cross attention
+[2024-09-06 13:37] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 13:37] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 13:37] Ib Custom Nodes: Loaded
+[2024-09-06 13:37] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:37] pytorch version: 2.4.1+cu121
+[2024-09-06 13:37] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:37] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:37] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 13:37] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 13:37] 
+Import times for custom nodes:
+[2024-09-06 13:37]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 13:37]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 13:37]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 13:37]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:37]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 13:37]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 13:37]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 13:37]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 13:37] 
+[2024-09-06 13:37] Starting server
+
+[2024-09-06 13:37] To see the GUI go to: http://0.0.0.0:3006
+[2024-09-06 13:37] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 13:37] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 13:37] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 13:37] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 13:37] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 13:38] 
+Stopped server
diff --git a/ComfyUI/comfyui_50000.log b/ComfyUI/comfyui_50000.log
new file mode 100644
index 0000000000000000000000000000000000000000..867419c0dd694e5eeaf0508d5a7144475bfed66d
--- /dev/null
+++ b/ComfyUI/comfyui_50000.log
@@ -0,0 +1,44 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-14 22:27] ** ComfyUI startup time: 2024-09-14 22:27:52.960268
+[2024-09-14 22:27] ** Platform: Linux
+[2024-09-14 22:27] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-14 22:27] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-14 22:27] ** ComfyUI Path: /home/itek/Desktop/New Folder/ComfyUI
+[2024-09-14 22:27] ** Log path: /home/itek/Desktop/New Folder/ComfyUI/comfyui.log
+[2024-09-14 22:27] 
+Prestartup times for custom nodes:
+[2024-09-14 22:27]    0.6 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:27] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:27] pytorch version: 2.3.0+cu118
+[2024-09-14 22:27] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:27] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:27] Using pytorch cross attention
+[2024-09-14 22:27] [Prompt Server] web root: /home/itek/Desktop/New Folder/ComfyUI/web
+[2024-09-14 22:27] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-14 22:27] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-14 22:27] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:27] pytorch version: 2.3.0+cu118
+[2024-09-14 22:27] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:27] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:27] Ib Custom Nodes: Loaded
+[2024-09-14 22:27] 
+Import times for custom nodes:
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-14 22:27]    0.1 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-14 22:27]    0.5 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-14 22:27] 
+[2024-09-14 22:27] Starting server
+
+[2024-09-14 22:27] To see the GUI go to: http://127.0.0.1:50000
+[2024-09-14 22:27] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-14 22:27] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-14 22:27] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-14 22:27] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-14 22:27] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
diff --git a/ComfyUI/comfyui_50000.prev.log b/ComfyUI/comfyui_50000.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..df81d1ef35acf9923233ca01c096c654f3e15ccf
--- /dev/null
+++ b/ComfyUI/comfyui_50000.prev.log
@@ -0,0 +1,46 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-14 22:24] ** ComfyUI startup time: 2024-09-14 22:24:55.590008
+[2024-09-14 22:24] ** Platform: Linux
+[2024-09-14 22:24] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-14 22:24] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-14 22:24] ** ComfyUI Path: /home/itek/Desktop/New Folder/ComfyUI
+[2024-09-14 22:24] ** Log path: /home/itek/Desktop/New Folder/ComfyUI/comfyui.log
+[2024-09-14 22:24] 
+Prestartup times for custom nodes:
+[2024-09-14 22:24]    0.7 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:24] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:24] pytorch version: 2.3.0+cu118
+[2024-09-14 22:24] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:24] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:24] Using pytorch cross attention
+[2024-09-14 22:24] [Prompt Server] web root: /home/itek/Desktop/New Folder/ComfyUI/web
+[2024-09-14 22:24] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-14 22:24] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-14 22:24] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:24] pytorch version: 2.3.0+cu118
+[2024-09-14 22:24] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:24] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:24] Ib Custom Nodes: Loaded
+[2024-09-14 22:24] 
+Import times for custom nodes:
+[2024-09-14 22:24]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-14 22:24]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-14 22:24]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-14 22:24]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-14 22:24]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:24]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-14 22:24]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-14 22:24]    0.1 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-14 22:24]    0.5 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-14 22:24] 
+[2024-09-14 22:24] Starting server
+
+[2024-09-14 22:24] To see the GUI go to: http://127.0.0.1:50000
+[2024-09-14 22:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-14 22:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-14 22:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-14 22:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-14 22:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-14 22:26] Failed to get ComfyUI version: Command '['git', 'describe', '--tags']' returned non-zero exit status 128.
+[2024-09-14 22:26] FETCH DATA from: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
diff --git a/ComfyUI/comfyui_50000.prev2.log b/ComfyUI/comfyui_50000.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..1cf8b7d8916437cd180a6b1473e87b94c101c7ee
--- /dev/null
+++ b/ComfyUI/comfyui_50000.prev2.log
@@ -0,0 +1,46 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-14 22:22] ** ComfyUI startup time: 2024-09-14 22:22:17.127196
+[2024-09-14 22:22] ** Platform: Linux
+[2024-09-14 22:22] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-14 22:22] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-14 22:22] ** ComfyUI Path: /home/itek/Desktop/New Folder/ComfyUI
+[2024-09-14 22:22] ** Log path: /home/itek/Desktop/New Folder/ComfyUI/comfyui.log
+[2024-09-14 22:22] 
+Prestartup times for custom nodes:
+[2024-09-14 22:22]    0.7 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:22] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:22] pytorch version: 2.3.0+cu118
+[2024-09-14 22:22] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:22] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:22] Using pytorch cross attention
+[2024-09-14 22:22] [Prompt Server] web root: /home/itek/Desktop/New Folder/ComfyUI/web
+[2024-09-14 22:22] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-14 22:22] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-14 22:22] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:22] pytorch version: 2.3.0+cu118
+[2024-09-14 22:22] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:22] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:22] Ib Custom Nodes: Loaded
+[2024-09-14 22:22] 
+Import times for custom nodes:
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-14 22:22]    0.1 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-14 22:22]    0.5 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-14 22:22] 
+[2024-09-14 22:22] Starting server
+
+[2024-09-14 22:22] To see the GUI go to: http://127.0.0.1:50000
+[2024-09-14 22:22] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-14 22:22] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-14 22:22] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-14 22:22] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-14 22:22] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-14 22:23] Failed to get ComfyUI version: Command '['git', 'describe', '--tags']' returned non-zero exit status 128.
+[2024-09-14 22:23] FETCH DATA from: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
diff --git a/ComfyUI/comfyui_50001.log b/ComfyUI/comfyui_50001.log
new file mode 100644
index 0000000000000000000000000000000000000000..1138b69f888b3ce086a4ba011a7a1c8b2fbefa7b
--- /dev/null
+++ b/ComfyUI/comfyui_50001.log
@@ -0,0 +1,44 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-14 22:27] ** ComfyUI startup time: 2024-09-14 22:27:56.985519
+[2024-09-14 22:27] ** Platform: Linux
+[2024-09-14 22:27] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-14 22:27] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-14 22:27] ** ComfyUI Path: /home/itek/Desktop/New Folder/ComfyUI
+[2024-09-14 22:27] ** Log path: /home/itek/Desktop/New Folder/ComfyUI/comfyui.log
+[2024-09-14 22:27] 
+Prestartup times for custom nodes:
+[2024-09-14 22:27]    0.7 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:27] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:27] pytorch version: 2.3.0+cu118
+[2024-09-14 22:27] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:27] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:27] Using pytorch cross attention
+[2024-09-14 22:27] [Prompt Server] web root: /home/itek/Desktop/New Folder/ComfyUI/web
+[2024-09-14 22:27] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-14 22:27] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-14 22:27] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:27] pytorch version: 2.3.0+cu118
+[2024-09-14 22:27] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:27] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:27] Ib Custom Nodes: Loaded
+[2024-09-14 22:27] 
+Import times for custom nodes:
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-14 22:27]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-14 22:27]    0.1 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-14 22:27]    0.5 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-14 22:27] 
+[2024-09-14 22:28] Starting server
+
+[2024-09-14 22:28] To see the GUI go to: http://127.0.0.1:50001
+[2024-09-14 22:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-14 22:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-14 22:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-14 22:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-14 22:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
diff --git a/ComfyUI/comfyui_50001.prev.log b/ComfyUI/comfyui_50001.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..d5a0fbb26e26a4ef2c6661fee220db34d8f2857a
--- /dev/null
+++ b/ComfyUI/comfyui_50001.prev.log
@@ -0,0 +1,46 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-14 22:24] ** ComfyUI startup time: 2024-09-14 22:24:59.601379
+[2024-09-14 22:24] ** Platform: Linux
+[2024-09-14 22:24] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-14 22:24] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-14 22:24] ** ComfyUI Path: /home/itek/Desktop/New Folder/ComfyUI
+[2024-09-14 22:24] ** Log path: /home/itek/Desktop/New Folder/ComfyUI/comfyui.log
+[2024-09-14 22:24] 
+Prestartup times for custom nodes:
+[2024-09-14 22:24]    0.7 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:24] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:25] pytorch version: 2.3.0+cu118
+[2024-09-14 22:25] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:25] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:25] Using pytorch cross attention
+[2024-09-14 22:25] [Prompt Server] web root: /home/itek/Desktop/New Folder/ComfyUI/web
+[2024-09-14 22:25] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-14 22:25] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-14 22:25] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:25] pytorch version: 2.3.0+cu118
+[2024-09-14 22:25] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:25] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:25] Ib Custom Nodes: Loaded
+[2024-09-14 22:25] 
+Import times for custom nodes:
+[2024-09-14 22:25]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-14 22:25]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-14 22:25]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-14 22:25]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-14 22:25]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:25]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-14 22:25]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-14 22:25]    0.1 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-14 22:25]    0.5 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-14 22:25] 
+[2024-09-14 22:25] Starting server
+
+[2024-09-14 22:25] To see the GUI go to: http://127.0.0.1:50001
+[2024-09-14 22:25] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-14 22:25] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-14 22:25] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-14 22:25] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-14 22:25] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-14 22:26] Failed to get ComfyUI version: Command '['git', 'describe', '--tags']' returned non-zero exit status 128.
+[2024-09-14 22:26] FETCH DATA from: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
diff --git a/ComfyUI/comfyui_50001.prev2.log b/ComfyUI/comfyui_50001.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..d84cc592e9299ecaca7ed5d96fcd0ae9adaf7eaa
--- /dev/null
+++ b/ComfyUI/comfyui_50001.prev2.log
@@ -0,0 +1,44 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-14 22:22] ** ComfyUI startup time: 2024-09-14 22:22:21.140467
+[2024-09-14 22:22] ** Platform: Linux
+[2024-09-14 22:22] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-14 22:22] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-14 22:22] ** ComfyUI Path: /home/itek/Desktop/New Folder/ComfyUI
+[2024-09-14 22:22] ** Log path: /home/itek/Desktop/New Folder/ComfyUI/comfyui.log
+[2024-09-14 22:22] 
+Prestartup times for custom nodes:
+[2024-09-14 22:22]    0.7 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:22] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:22] pytorch version: 2.3.0+cu118
+[2024-09-14 22:22] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:22] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:22] Using pytorch cross attention
+[2024-09-14 22:22] [Prompt Server] web root: /home/itek/Desktop/New Folder/ComfyUI/web
+[2024-09-14 22:22] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-14 22:22] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-14 22:22] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:22] pytorch version: 2.3.0+cu118
+[2024-09-14 22:22] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:22] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:22] Ib Custom Nodes: Loaded
+[2024-09-14 22:22] 
+Import times for custom nodes:
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-14 22:22]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-14 22:22]    0.1 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-14 22:22]    0.5 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-14 22:22] 
+[2024-09-14 22:22] Starting server
+
+[2024-09-14 22:22] To see the GUI go to: http://127.0.0.1:50001
+[2024-09-14 22:22] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-14 22:22] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-14 22:22] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-14 22:22] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-14 22:22] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
diff --git a/ComfyUI/comfyui_50002.log b/ComfyUI/comfyui_50002.log
new file mode 100644
index 0000000000000000000000000000000000000000..453bf6ac07ff211d76659a36eb16b7407b248c9e
--- /dev/null
+++ b/ComfyUI/comfyui_50002.log
@@ -0,0 +1,48 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-14 11:21] ** ComfyUI startup time: 2024-09-14 11:21:08.753601
+[2024-09-14 11:21] ** Platform: Linux
+[2024-09-14 11:21] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-14 11:21] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-14 11:21] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-14 11:21] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-14 11:21] 
+Prestartup times for custom nodes:
+[2024-09-14 11:21]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 11:21] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-14 11:21] pytorch version: 2.4.1+cu121
+[2024-09-14 11:21] Set vram state to: NORMAL_VRAM
+[2024-09-14 11:21] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-14 11:21] Using pytorch cross attention
+[2024-09-14 11:21] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-14 11:21] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-14 11:21] Ib Custom Nodes: Loaded
+[2024-09-14 11:21] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-14 11:21] pytorch version: 2.4.1+cu121
+[2024-09-14 11:21] Set vram state to: NORMAL_VRAM
+[2024-09-14 11:21] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-14 11:21] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-14 11:21] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-14 11:21] 
+Import times for custom nodes:
+[2024-09-14 11:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-14 11:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-14 11:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-14 11:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 11:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-14 11:21]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-14 11:21]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-14 11:21]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-14 11:21]    0.6 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-14 11:21] 
+[2024-09-14 11:21] Starting server
+
+[2024-09-14 11:21] To see the GUI go to: http://127.0.0.1:50002
+[2024-09-14 11:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-14 11:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-14 11:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-14 11:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-14 11:21] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-14 11:21] 
+Stopped server
diff --git a/ComfyUI/comfyui_6000.log b/ComfyUI/comfyui_6000.log
new file mode 100644
index 0000000000000000000000000000000000000000..a92184a7c9eb9c82c6886b8b036517d73a051697
--- /dev/null
+++ b/ComfyUI/comfyui_6000.log
@@ -0,0 +1,46 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-10 08:27] ** ComfyUI startup time: 2024-09-10 08:27:22.259011
+[2024-09-10 08:27] ** Platform: Linux
+[2024-09-10 08:27] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-10 08:27] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-10 08:27] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-10 08:27] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-10 08:27] 
+Prestartup times for custom nodes:
+[2024-09-10 08:27]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-10 08:27] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-10 08:27] pytorch version: 2.4.1+cu121
+[2024-09-10 08:27] Set vram state to: NORMAL_VRAM
+[2024-09-10 08:27] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-10 08:27] Using pytorch cross attention
+[2024-09-10 08:27] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-10 08:27] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-10 08:27] Ib Custom Nodes: Loaded
+[2024-09-10 08:27] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-10 08:27] pytorch version: 2.4.1+cu121
+[2024-09-10 08:27] Set vram state to: NORMAL_VRAM
+[2024-09-10 08:27] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-10 08:27] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-10 08:27] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-10 08:27] 
+Import times for custom nodes:
+[2024-09-10 08:27]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-10 08:27]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-10 08:27]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-10 08:27]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-10 08:27]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-10 08:27]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-10 08:27]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-10 08:27]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-10 08:27]    0.6 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-10 08:27] 
+[2024-09-10 08:27] Starting server
+
+[2024-09-10 08:27] To see the GUI go to: http://127.0.0.1:6000
+[2024-09-10 08:27] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-10 08:27] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-10 08:27] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-10 08:27] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-10 08:27] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
diff --git a/ComfyUI/comfyui_6000.prev.log b/ComfyUI/comfyui_6000.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..4b141cd20f5de2ba8a75e417622cb97c691d3ad1
--- /dev/null
+++ b/ComfyUI/comfyui_6000.prev.log
@@ -0,0 +1,48 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-09 10:33] ** ComfyUI startup time: 2024-09-09 10:33:28.751112
+[2024-09-09 10:33] ** Platform: Linux
+[2024-09-09 10:33] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-09 10:33] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-09 10:33] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-09 10:33] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-09 10:33] 
+Prestartup times for custom nodes:
+[2024-09-09 10:33]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 10:33] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 10:33] pytorch version: 2.4.1+cu121
+[2024-09-09 10:33] Set vram state to: NORMAL_VRAM
+[2024-09-09 10:33] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 10:33] Using pytorch cross attention
+[2024-09-09 10:33] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-09 10:33] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-09 10:33] Ib Custom Nodes: Loaded
+[2024-09-09 10:33] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 10:33] pytorch version: 2.4.1+cu121
+[2024-09-09 10:33] Set vram state to: NORMAL_VRAM
+[2024-09-09 10:33] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 10:33] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-09 10:33] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-09 10:33] 
+Import times for custom nodes:
+[2024-09-09 10:33]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-09 10:33]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-09 10:33]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-09 10:33]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-09 10:33]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-09 10:33]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 10:33]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-09 10:33]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-09 10:33]    0.6 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-09 10:33] 
+[2024-09-09 10:33] Starting server
+
+[2024-09-09 10:33] To see the GUI go to: http://0.0.0.0:6000
+[2024-09-09 10:33] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-09 10:33] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-09 10:33] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-09 10:33] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-09 10:33] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-09 10:34] 
+Stopped server
diff --git a/ComfyUI/comfyui_6000.prev2.log b/ComfyUI/comfyui_6000.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..d659f4696ffe0e279629c79a66708483b72f4176
--- /dev/null
+++ b/ComfyUI/comfyui_6000.prev2.log
@@ -0,0 +1,48 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-09 10:30] ** ComfyUI startup time: 2024-09-09 10:30:49.089364
+[2024-09-09 10:30] ** Platform: Linux
+[2024-09-09 10:30] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-09 10:30] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-09 10:30] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-09 10:30] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-09 10:30] 
+Prestartup times for custom nodes:
+[2024-09-09 10:30]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 10:30] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 10:30] pytorch version: 2.4.1+cu121
+[2024-09-09 10:30] Set vram state to: NORMAL_VRAM
+[2024-09-09 10:30] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 10:30] Using pytorch cross attention
+[2024-09-09 10:30] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-09 10:30] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-09 10:30] Ib Custom Nodes: Loaded
+[2024-09-09 10:30] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 10:30] pytorch version: 2.4.1+cu121
+[2024-09-09 10:30] Set vram state to: NORMAL_VRAM
+[2024-09-09 10:30] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 10:30] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-09 10:30] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-09 10:30] 
+Import times for custom nodes:
+[2024-09-09 10:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-09 10:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-09 10:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-09 10:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-09 10:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-09 10:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 10:30]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-09 10:30]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-09 10:30]    0.6 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-09 10:30] 
+[2024-09-09 10:30] Starting server
+
+[2024-09-09 10:30] To see the GUI go to: http://0.0.0.0:6000
+[2024-09-09 10:30] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-09 10:30] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-09 10:30] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-09 10:30] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-09 10:30] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-09 10:31] 
+Stopped server
diff --git a/ComfyUI/comfyui_60000.log b/ComfyUI/comfyui_60000.log
new file mode 100644
index 0000000000000000000000000000000000000000..e335cf004c0a4fcc0af5d13cf26a6d303746c676
--- /dev/null
+++ b/ComfyUI/comfyui_60000.log
@@ -0,0 +1,43 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-03 20:11] ** ComfyUI startup time: 2024-09-03 20:11:52.469908
+[2024-09-03 20:11] ** Platform: Linux
+[2024-09-03 20:11] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-03 20:11] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-03 20:11] ** ComfyUI Path: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI
+[2024-09-03 20:11] ** Log path: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/comfyui.log
+[2024-09-03 20:11] 
+Prestartup times for custom nodes:
+[2024-09-03 20:11]    0.7 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 20:11] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 20:11] pytorch version: 2.3.0+cu118
+[2024-09-03 20:11] Set vram state to: NORMAL_VRAM
+[2024-09-03 20:11] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 20:11] Using pytorch cross attention
+[2024-09-03 20:11] [Prompt Server] web root: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/web
+[2024-09-03 20:11] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-03 20:11] ### ComfyUI Revision: 2643 [00a5d081] | Released on '2024-09-03'
+[2024-09-03 20:11] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 20:11] pytorch version: 2.3.0+cu118
+[2024-09-03 20:11] Set vram state to: NORMAL_VRAM
+[2024-09-03 20:11] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 20:11] Ib Custom Nodes: Loaded
+[2024-09-03 20:11] 
+Import times for custom nodes:
+[2024-09-03 20:11]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-03 20:11]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-03 20:11]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-03 20:11]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-03 20:11]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 20:11]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-03 20:11]    0.1 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-03 20:11] 
+[2024-09-03 20:11] Starting server
+
+[2024-09-03 20:11] To see the GUI go to: http://127.0.0.1:60000
+[2024-09-03 20:11] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-03 20:11] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-03 20:11] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-03 20:11] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-03 20:11] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-03 20:11] FETCH DATA from: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
diff --git a/ComfyUI/comfyui_60001.log b/ComfyUI/comfyui_60001.log
new file mode 100644
index 0000000000000000000000000000000000000000..f0862eb226ec0931e33fa811ce37a8fa5596f6a2
--- /dev/null
+++ b/ComfyUI/comfyui_60001.log
@@ -0,0 +1,43 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-03 20:12] ** ComfyUI startup time: 2024-09-03 20:12:57.755485
+[2024-09-03 20:12] ** Platform: Linux
+[2024-09-03 20:12] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-03 20:12] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-03 20:12] ** ComfyUI Path: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI
+[2024-09-03 20:12] ** Log path: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/comfyui.log
+[2024-09-03 20:12] 
+Prestartup times for custom nodes:
+[2024-09-03 20:12]    0.7 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 20:12] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 20:12] pytorch version: 2.3.0+cu118
+[2024-09-03 20:12] Set vram state to: NORMAL_VRAM
+[2024-09-03 20:12] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 20:12] Using pytorch cross attention
+[2024-09-03 20:12] [Prompt Server] web root: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/web
+[2024-09-03 20:13] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-03 20:13] ### ComfyUI Revision: 2643 [00a5d081] | Released on '2024-09-03'
+[2024-09-03 20:13] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 20:13] pytorch version: 2.3.0+cu118
+[2024-09-03 20:13] Set vram state to: NORMAL_VRAM
+[2024-09-03 20:13] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 20:13] Ib Custom Nodes: Loaded
+[2024-09-03 20:13] 
+Import times for custom nodes:
+[2024-09-03 20:13]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-03 20:13]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-03 20:13]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-03 20:13]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-03 20:13]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 20:13]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-03 20:13]    0.1 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-03 20:13] 
+[2024-09-03 20:13] Starting server
+
+[2024-09-03 20:13] To see the GUI go to: http://127.0.0.1:60001
+[2024-09-03 20:13] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-03 20:13] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-03 20:13] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-03 20:13] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-03 20:13] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-03 20:13] FETCH DATA from: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
diff --git a/ComfyUI/comfyui_60002.log b/ComfyUI/comfyui_60002.log
new file mode 100644
index 0000000000000000000000000000000000000000..851ccf3623cab660d7e5a46055f06d3d086c6c63
--- /dev/null
+++ b/ComfyUI/comfyui_60002.log
@@ -0,0 +1,46 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-14 22:00] ** ComfyUI startup time: 2024-09-14 22:00:02.668497
+[2024-09-14 22:00] ** Platform: Linux
+[2024-09-14 22:00] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-14 22:00] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-14 22:00] ** ComfyUI Path: /home/itek/Desktop/New Folder/ComfyUI
+[2024-09-14 22:00] ** Log path: /home/itek/Desktop/New Folder/ComfyUI/comfyui.log
+[2024-09-14 22:00] 
+Prestartup times for custom nodes:
+[2024-09-14 22:00]    0.7 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:00] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:00] pytorch version: 2.3.0+cu118
+[2024-09-14 22:00] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:00] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:00] Using pytorch cross attention
+[2024-09-14 22:00] /home/itek/Desktop/New Folder/ComfyUI/comfy/extra_samplers/uni_pc.py:19: SyntaxWarning: invalid escape sequence '\h'
+  """Create a wrapper class for the forward SDE (VP type).
+[2024-09-14 22:00] [Prompt Server] web root: /home/itek/Desktop/New Folder/ComfyUI/web
+[2024-09-14 22:00] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-14 22:00] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-14 22:00] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-14 22:00] pytorch version: 2.3.0+cu118
+[2024-09-14 22:00] Set vram state to: NORMAL_VRAM
+[2024-09-14 22:00] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-14 22:00] Ib Custom Nodes: Loaded
+[2024-09-14 22:00] 
+Import times for custom nodes:
+[2024-09-14 22:00]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-14 22:00]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-14 22:00]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-14 22:00]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-14 22:00]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-14 22:00]    0.0 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-14 22:00]    0.1 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-14 22:00]    0.1 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-14 22:00]    1.6 seconds: /home/itek/Desktop/New Folder/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-14 22:00] 
+[2024-09-14 22:00] Starting server
+
+[2024-09-14 22:00] To see the GUI go to: http://127.0.0.1:60002
+[2024-09-14 22:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-14 22:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-14 22:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-14 22:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-14 22:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
diff --git a/ComfyUI/comfyui_6001.log b/ComfyUI/comfyui_6001.log
new file mode 100644
index 0000000000000000000000000000000000000000..ee15e0716995967c51444ad2561bf1ce54835875
--- /dev/null
+++ b/ComfyUI/comfyui_6001.log
@@ -0,0 +1,48 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-09 10:55] ** ComfyUI startup time: 2024-09-09 10:55:27.452118
+[2024-09-09 10:55] ** Platform: Linux
+[2024-09-09 10:55] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-09 10:55] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-09 10:55] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-09 10:55] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-09 10:55] 
+Prestartup times for custom nodes:
+[2024-09-09 10:55]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 10:55] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 10:55] pytorch version: 2.4.1+cu121
+[2024-09-09 10:55] Set vram state to: NORMAL_VRAM
+[2024-09-09 10:55] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 10:55] Using pytorch cross attention
+[2024-09-09 10:55] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-09 10:55] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-09 10:55] Ib Custom Nodes: Loaded
+[2024-09-09 10:55] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 10:55] pytorch version: 2.4.1+cu121
+[2024-09-09 10:55] Set vram state to: NORMAL_VRAM
+[2024-09-09 10:55] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 10:55] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-09 10:55] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-09 10:55] 
+Import times for custom nodes:
+[2024-09-09 10:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-09 10:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-09 10:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-09 10:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-09 10:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 10:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-09 10:55]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-09 10:55]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-09 10:55]    0.6 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-09 10:55] 
+[2024-09-09 10:55] Starting server
+
+[2024-09-09 10:55] To see the GUI go to: http://0.0.0.0:6001
+[2024-09-09 10:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-09 10:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-09 10:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-09 10:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-09 10:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-09 11:08] 
+Stopped server
diff --git a/ComfyUI/comfyui_6001.prev.log b/ComfyUI/comfyui_6001.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..4d70e5b5f3d851786c030c10414afbdb6de3a5df
--- /dev/null
+++ b/ComfyUI/comfyui_6001.prev.log
@@ -0,0 +1,65 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-09 05:55] ** ComfyUI startup time: 2024-09-09 05:55:29.349411
+[2024-09-09 05:55] ** Platform: Linux
+[2024-09-09 05:55] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-09 05:55] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-09 05:55] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-09 05:55] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-09 05:55] 
+Prestartup times for custom nodes:
+[2024-09-09 05:55]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 05:55] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 05:55] pytorch version: 2.4.1+cu121
+[2024-09-09 05:55] Set vram state to: NORMAL_VRAM
+[2024-09-09 05:55] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 05:55] Using pytorch cross attention
+[2024-09-09 05:55] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-09 05:55] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-09 05:55] Ib Custom Nodes: Loaded
+[2024-09-09 05:55] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 05:55] pytorch version: 2.4.1+cu121
+[2024-09-09 05:55] Set vram state to: NORMAL_VRAM
+[2024-09-09 05:55] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 05:55] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-09 05:55] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-09 05:55] 
+Import times for custom nodes:
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-09 05:55]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-09 05:55]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-09 05:55] 
+[2024-09-09 05:55] Starting server
+
+[2024-09-09 05:55] To see the GUI go to: http://0.0.0.0:6001
+[2024-09-09 05:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-09 05:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-09 05:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-09 05:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-09 05:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-09 06:01] got prompt
+[2024-09-09 06:01] LivePortrait using fp16
+[2024-09-09 06:01] Load appearance_feature_extractor done.
+[2024-09-09 06:01] Load motion_extractor done.
+[2024-09-09 06:01] Load warping_module done.
+[2024-09-09 06:01] Load spade_generator done.
+[2024-09-09 06:01] Load stitching_retargeting_module done.
+[2024-09-09 06:01] /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py:102: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self.model = torch.load(ckpt_path).to(self.device)
+[2024-09-09 06:01] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-09 06:01] 
Detecting, cropping, and processing..: 100%|████████████| 1/1 [00:00<00:00,  1.70it/s]
Detecting, cropping, and processing..: 100%|████████████| 1/1 [00:00<00:00,  1.70it/s]
+[2024-09-09 06:01] 
Processing driving images...: 100%|█████████████████| 152/152 [00:01<00:00, 86.81it/s]
+[2024-09-09 06:01] 
Animating...: 100%|█████████████████████████████████| 152/152 [00:08<00:00, 18.04it/s]
+[2024-09-09 06:01] Total frames: 152
+[2024-09-09 06:01] 
Compositing..: 100%|███████████████████████████████| 152/152 [00:00<00:00, 175.84it/s]
+[2024-09-09 06:01] [VideoHelperSuite] - WARNING - Output images were not of valid resolution and have had padding applied
+[2024-09-09 06:01] Prompt executed in 21.53 seconds
+[2024-09-09 06:23] 
+Stopped server
diff --git a/ComfyUI/comfyui_6001.prev2.log b/ComfyUI/comfyui_6001.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..1e0a0b969c7acd7688417ab10f3dd9aad2e2ba2c
--- /dev/null
+++ b/ComfyUI/comfyui_6001.prev2.log
@@ -0,0 +1,60 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-09 05:53] ** ComfyUI startup time: 2024-09-09 05:53:10.724860
+[2024-09-09 05:53] ** Platform: Linux
+[2024-09-09 05:53] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-09 05:53] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-09 05:53] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-09 05:53] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-09 05:53] 
+Prestartup times for custom nodes:
+[2024-09-09 05:53]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 05:53] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 05:53] pytorch version: 2.4.1+cu121
+[2024-09-09 05:53] Set vram state to: NORMAL_VRAM
+[2024-09-09 05:53] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 05:53] Using pytorch cross attention
+[2024-09-09 05:53] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-09 05:53] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-09 05:53] Ib Custom Nodes: Loaded
+[2024-09-09 05:53] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 05:53] pytorch version: 2.4.1+cu121
+[2024-09-09 05:53] Set vram state to: NORMAL_VRAM
+[2024-09-09 05:53] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 05:53] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-09 05:53] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-09 05:53] 
+Import times for custom nodes:
+[2024-09-09 05:53]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-09 05:53]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-09 05:53]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-09 05:53]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 05:53]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-09 05:53]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-09 05:53]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-09 05:53]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-09 05:53] 
+[2024-09-09 05:53] Starting server
+
+[2024-09-09 05:53] To see the GUI go to: http://0.0.0.0:6001
+[2024-09-09 05:53] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-09 05:53] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-09 05:53] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-09 05:53] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-09 05:53] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-09 05:53] got prompt
+[2024-09-09 05:53] LivePortrait using fp16
+[2024-09-09 05:53] Load appearance_feature_extractor done.
+[2024-09-09 05:53] Load motion_extractor done.
+[2024-09-09 05:53] Load warping_module done.
+[2024-09-09 05:53] Load spade_generator done.
+[2024-09-09 05:53] Load stitching_retargeting_module done.
+[2024-09-09 05:53] /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py:102: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self.model = torch.load(ckpt_path).to(self.device)
+[2024-09-09 05:53] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-09 05:53] 
Detecting, cropping, and processing..: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  1.68it/s]
Detecting, cropping, and processing..: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  1.68it/s]
+[2024-09-09 05:53] 
Processing driving images...: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 152/152 [00:01<00:00, 86.37it/s]
Processing driving images...: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 152/152 [00:01<00:00, 86.62it/s]
+[2024-09-09 05:53] 
+Stopped server
diff --git a/ComfyUI/comfyui_6002.log b/ComfyUI/comfyui_6002.log
new file mode 100644
index 0000000000000000000000000000000000000000..58765eddb0317702e14c0b7b2767e14285da6b54
--- /dev/null
+++ b/ComfyUI/comfyui_6002.log
@@ -0,0 +1,67 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-09 05:55] ** ComfyUI startup time: 2024-09-09 05:55:29.367000
+[2024-09-09 05:55] ** Platform: Linux
+[2024-09-09 05:55] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-09 05:55] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-09 05:55] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-09 05:55] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-09 05:55] 
+Prestartup times for custom nodes:
+[2024-09-09 05:55]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 05:55] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 05:55] pytorch version: 2.4.1+cu121
+[2024-09-09 05:55] Set vram state to: NORMAL_VRAM
+[2024-09-09 05:55] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 05:55] Using pytorch cross attention
+[2024-09-09 05:55] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-09 05:55] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-09 05:55] Ib Custom Nodes: Loaded
+[2024-09-09 05:55] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 05:55] pytorch version: 2.4.1+cu121
+[2024-09-09 05:55] Set vram state to: NORMAL_VRAM
+[2024-09-09 05:55] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 05:55] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-09 05:55] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-09 05:55] 
+Import times for custom nodes:
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-09 05:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-09 05:55]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-09 05:55]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-09 05:55] 
+[2024-09-09 05:55] Starting server
+
+[2024-09-09 05:55] To see the GUI go to: http://0.0.0.0:6002
+[2024-09-09 05:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-09 05:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-09 05:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-09 05:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-09 05:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-09 05:55] got prompt
+[2024-09-09 05:55] LivePortrait using fp16
+[2024-09-09 05:55] Load appearance_feature_extractor done.
+[2024-09-09 05:55] Load motion_extractor done.
+[2024-09-09 05:55] Load warping_module done.
+[2024-09-09 05:55] Load spade_generator done.
+[2024-09-09 05:55] Load stitching_retargeting_module done.
+[2024-09-09 05:55] /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py:102: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self.model = torch.load(ckpt_path).to(self.device)
+[2024-09-09 05:55] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-09 05:55] 
Detecting, cropping, and processing..: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  1.68it/s]
Detecting, cropping, and processing..: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  1.68it/s]
+[2024-09-09 05:55] 
Processing driving images...: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 152/152 [00:01<00:00, 89.91it/s]
+[2024-09-09 05:55] 
Animating...: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 152/152 [00:08<00:00, 18.07it/s]
+[2024-09-09 05:55] Total frames: 152
+[2024-09-09 05:55] 
Compositing..: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 152/152 [00:00<00:00, 188.21it/s]
Compositing..: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 152/152 [00:00<00:00, 184.78it/s]
+[2024-09-09 05:55] [VideoHelperSuite] - WARNING - Output images were not of valid resolution and have had padding applied
+[2024-09-09 05:55] Prompt executed in 21.02 seconds
+[2024-09-09 06:00] got prompt
+[2024-09-09 06:00] Prompt executed in 0.01 seconds
+[2024-09-09 06:23] 
+Stopped server
diff --git a/ComfyUI/comfyui_6002.prev.log b/ComfyUI/comfyui_6002.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..591fa85e32935185a808acac41a60f983c9cb861
--- /dev/null
+++ b/ComfyUI/comfyui_6002.prev.log
@@ -0,0 +1,47 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-09 05:53] ** ComfyUI startup time: 2024-09-09 05:53:58.950665
+[2024-09-09 05:53] ** Platform: Linux
+[2024-09-09 05:53] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-09 05:53] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-09 05:53] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-09 05:53] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-09 05:53] 
+Prestartup times for custom nodes:
+[2024-09-09 05:53]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 05:53] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 05:54] pytorch version: 2.4.1+cu121
+[2024-09-09 05:54] Set vram state to: NORMAL_VRAM
+[2024-09-09 05:54] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 05:54] Using pytorch cross attention
+[2024-09-09 05:54] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-09 05:54] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-09 05:54] Ib Custom Nodes: Loaded
+[2024-09-09 05:54] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 05:54] pytorch version: 2.4.1+cu121
+[2024-09-09 05:54] Set vram state to: NORMAL_VRAM
+[2024-09-09 05:54] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 05:54] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-09 05:54] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-09 05:54] 
+Import times for custom nodes:
+[2024-09-09 05:54]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-09 05:54]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-09 05:54]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-09 05:54]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 05:54]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-09 05:54]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-09 05:54]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-09 05:54]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-09 05:54] 
+[2024-09-09 05:54] Starting server
+
+[2024-09-09 05:54] To see the GUI go to: http://0.0.0.0:6002
+[2024-09-09 05:54] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-09 05:54] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-09 05:54] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-09 05:54] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-09 05:54] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-09 05:54] 
+Stopped server
diff --git a/ComfyUI/comfyui_6002.prev2.log b/ComfyUI/comfyui_6002.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..35f8eec6e546688c483fa4f4a30c2fa0336ca368
--- /dev/null
+++ b/ComfyUI/comfyui_6002.prev2.log
@@ -0,0 +1,56 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 14:07] ** ComfyUI startup time: 2024-09-06 14:07:25.528332
+[2024-09-06 14:07] ** Platform: Linux
+[2024-09-06 14:07] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 14:07] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 14:07] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 14:07] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 14:07] 
+Prestartup times for custom nodes:
+[2024-09-06 14:07]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:07] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:07] pytorch version: 2.4.1+cu121
+[2024-09-06 14:07] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:07] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:07] Using pytorch cross attention
+[2024-09-06 14:07] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 14:07] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 14:07] Ib Custom Nodes: Loaded
+[2024-09-06 14:07] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:07] pytorch version: 2.4.1+cu121
+[2024-09-06 14:07] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:07] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:07] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 14:07] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 14:07] 
+Import times for custom nodes:
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 14:07]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 14:07]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 14:07] 
+[2024-09-06 14:07] Traceback (most recent call last):
+[2024-09-06 14:07]   File "/home/ubuntu/AI/ComfyUI/main.py", line 270, in <module>
+[2024-09-06 14:07]     loop.run_until_complete(run(server, address=args.listen, port=args.port, verbose=not args.dont_print_server, call_on_start=call_on_start))
+[2024-09-06 14:07]   File "/usr/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
+[2024-09-06 14:07]     return future.result()
+[2024-09-06 14:07]   File "/home/ubuntu/AI/ComfyUI/main.py", line 163, in run
+[2024-09-06 14:07]     await asyncio.gather(server.start(address, port, verbose, call_on_start), server.publish_loop())
+[2024-09-06 14:07]   File "/home/ubuntu/AI/ComfyUI/server.py", line 753, in start
+[2024-09-06 14:07]     await site.start()
+[2024-09-06 14:07]   File "/home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/aiohttp/web_runner.py", line 119, in start
+[2024-09-06 14:07]     self._server = await loop.create_server(
+[2024-09-06 14:07]   File "/usr/lib/python3.10/asyncio/base_events.py", line 1519, in create_server
+[2024-09-06 14:07]     raise OSError(err.errno, 'error while attempting '
+[2024-09-06 14:07] OSError: [Errno 98] error while attempting to bind on address ('0.0.0.0', 6002): address already in use
+[2024-09-06 14:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 14:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 14:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 14:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 14:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
diff --git a/ComfyUI/comfyui_6003.log b/ComfyUI/comfyui_6003.log
new file mode 100644
index 0000000000000000000000000000000000000000..129b1d68763c2b8e6bbe35e8919ca9504c4a4e81
--- /dev/null
+++ b/ComfyUI/comfyui_6003.log
@@ -0,0 +1,63 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-07 05:30] ** ComfyUI startup time: 2024-09-07 05:30:19.266248
+[2024-09-07 05:30] ** Platform: Linux
+[2024-09-07 05:30] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-07 05:30] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-07 05:30] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-07 05:30] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-07 05:30] 
+Prestartup times for custom nodes:
+[2024-09-07 05:30]    1.7 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-07 05:30] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-07 05:30] pytorch version: 2.4.1+cu121
+[2024-09-07 05:30] Set vram state to: NORMAL_VRAM
+[2024-09-07 05:30] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-07 05:30] Using pytorch cross attention
+[2024-09-07 05:30] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-07 05:30] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-07 05:30] Ib Custom Nodes: Loaded
+[2024-09-07 05:30] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-07 05:30] pytorch version: 2.4.1+cu121
+[2024-09-07 05:30] Set vram state to: NORMAL_VRAM
+[2024-09-07 05:30] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-07 05:30] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-07 05:30] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-07 05:30] 
+Import times for custom nodes:
+[2024-09-07 05:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-07 05:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-07 05:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-07 05:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-07 05:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-07 05:30]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-07 05:30]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-07 05:30]    0.2 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-07 05:30] 
+[2024-09-07 05:30] Starting server
+
+[2024-09-07 05:30] To see the GUI go to: http://0.0.0.0:6003
+[2024-09-07 05:30] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-07 05:30] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-07 05:30] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-07 05:30] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-07 05:30] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-07 05:30] got prompt
+[2024-09-07 05:30] LivePortrait using fp16
+[2024-09-07 05:30] Load appearance_feature_extractor done.
+[2024-09-07 05:30] Load motion_extractor done.
+[2024-09-07 05:30] Load warping_module done.
+[2024-09-07 05:30] Load spade_generator done.
+[2024-09-07 05:30] Load stitching_retargeting_module done.
+[2024-09-07 05:30] /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py:102: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self.model = torch.load(ckpt_path).to(self.device)
+[2024-09-07 05:30] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-07 05:30] 
Detecting, cropping, and processing..: 100%|███████████████████████████| 1/1 [00:00<00:00,  1.69it/s]
Detecting, cropping, and processing..: 100%|███████████████████████████| 1/1 [00:00<00:00,  1.69it/s]
+[2024-09-07 05:30] 
Processing driving images...: 100%|████████████████████████████████| 152/152 [00:01<00:00, 87.89it/s]
+[2024-09-07 05:30] 
Animating...: 100%|████████████████████████████████████████████████| 152/152 [00:08<00:00, 18.09it/s]
+[2024-09-07 05:30] Total frames: 152
+[2024-09-07 05:30] 
Compositing..: 100%|██████████████████████████████████████████████| 152/152 [00:00<00:00, 168.57it/s]
+[2024-09-07 05:30] [VideoHelperSuite] - WARNING - Output images were not of valid resolution and have had padding applied
+[2024-09-07 05:30] Prompt executed in 24.51 seconds
diff --git a/ComfyUI/comfyui_6003.prev.log b/ComfyUI/comfyui_6003.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..21e91ba2c9d27e823466535222c6ed818387b010
--- /dev/null
+++ b/ComfyUI/comfyui_6003.prev.log
@@ -0,0 +1,45 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 14:07] ** ComfyUI startup time: 2024-09-06 14:07:30.839334
+[2024-09-06 14:07] ** Platform: Linux
+[2024-09-06 14:07] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 14:07] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 14:07] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 14:07] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 14:07] 
+Prestartup times for custom nodes:
+[2024-09-06 14:07]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:07] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:07] pytorch version: 2.4.1+cu121
+[2024-09-06 14:07] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:07] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:07] Using pytorch cross attention
+[2024-09-06 14:07] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 14:07] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 14:07] Ib Custom Nodes: Loaded
+[2024-09-06 14:07] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:07] pytorch version: 2.4.1+cu121
+[2024-09-06 14:07] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:07] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:07] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 14:07] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 14:07] 
+Import times for custom nodes:
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 14:07]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 14:07]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 14:07]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 14:07] 
+[2024-09-06 14:07] Starting server
+
+[2024-09-06 14:07] To see the GUI go to: http://0.0.0.0:6003
+[2024-09-06 14:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 14:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 14:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 14:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 14:07] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
diff --git a/ComfyUI/comfyui_6003.prev2.log b/ComfyUI/comfyui_6003.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..47fb07f7959b05bca920bcd8c461ca962ee14028
--- /dev/null
+++ b/ComfyUI/comfyui_6003.prev2.log
@@ -0,0 +1,45 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 14:00] ** ComfyUI startup time: 2024-09-06 14:00:26.726773
+[2024-09-06 14:00] ** Platform: Linux
+[2024-09-06 14:00] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 14:00] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 14:00] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 14:00] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 14:00] 
+Prestartup times for custom nodes:
+[2024-09-06 14:00]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:00] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:00] pytorch version: 2.4.1+cu121
+[2024-09-06 14:00] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:00] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:00] Using pytorch cross attention
+[2024-09-06 14:00] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 14:00] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 14:00] Ib Custom Nodes: Loaded
+[2024-09-06 14:00] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:00] pytorch version: 2.4.1+cu121
+[2024-09-06 14:00] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:00] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:00] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 14:00] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 14:00] 
+Import times for custom nodes:
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 14:00]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 14:00]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 14:00] 
+[2024-09-06 14:00] Starting server
+
+[2024-09-06 14:00] To see the GUI go to: http://0.0.0.0:6003
+[2024-09-06 14:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 14:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 14:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 14:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 14:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
diff --git a/ComfyUI/comfyui_6004.log b/ComfyUI/comfyui_6004.log
new file mode 100644
index 0000000000000000000000000000000000000000..40fc4440633fc9d8339528fedde8a1d9d55a3dd0
--- /dev/null
+++ b/ComfyUI/comfyui_6004.log
@@ -0,0 +1,63 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 14:08] ** ComfyUI startup time: 2024-09-06 14:08:12.260819
+[2024-09-06 14:08] ** Platform: Linux
+[2024-09-06 14:08] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 14:08] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 14:08] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 14:08] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 14:08] 
+Prestartup times for custom nodes:
+[2024-09-06 14:08]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:08] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:08] pytorch version: 2.4.1+cu121
+[2024-09-06 14:08] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:08] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:08] Using pytorch cross attention
+[2024-09-06 14:08] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 14:08] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 14:08] Ib Custom Nodes: Loaded
+[2024-09-06 14:08] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:08] pytorch version: 2.4.1+cu121
+[2024-09-06 14:08] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:08] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:08] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 14:08] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 14:08] 
+Import times for custom nodes:
+[2024-09-06 14:08]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 14:08]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 14:08]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 14:08]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 14:08]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:08]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 14:08]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 14:08]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 14:08] 
+[2024-09-06 14:08] Starting server
+
+[2024-09-06 14:08] To see the GUI go to: http://0.0.0.0:6004
+[2024-09-06 14:08] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 14:08] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 14:08] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 14:08] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 14:08] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 14:08] got prompt
+[2024-09-06 14:08] LivePortrait using fp16
+[2024-09-06 14:08] Load appearance_feature_extractor done.
+[2024-09-06 14:08] Load motion_extractor done.
+[2024-09-06 14:08] Load warping_module done.
+[2024-09-06 14:08] Load spade_generator done.
+[2024-09-06 14:08] Load stitching_retargeting_module done.
+[2024-09-06 14:08] /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py:102: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self.model = torch.load(ckpt_path).to(self.device)
+[2024-09-06 14:08] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-06 14:08] 
Detecting, cropping, and processing..: 100%|███████████████████████████| 1/1 [00:00<00:00,  1.63it/s]
Detecting, cropping, and processing..: 100%|███████████████████████████| 1/1 [00:00<00:00,  1.63it/s]
+[2024-09-06 14:08] 
Processing driving images...: 100%|████████████████████████████████| 152/152 [00:01<00:00, 86.77it/s]
Processing driving images...: 100%|████████████████████████████████| 152/152 [00:01<00:00, 86.21it/s]
+[2024-09-06 14:08] 
Animating...: 100%|████████████████████████████████████████████████| 152/152 [00:08<00:00, 18.04it/s]
+[2024-09-06 14:08] Total frames: 152
+[2024-09-06 14:08] 
Compositing..: 100%|██████████████████████████████████████████████| 152/152 [00:00<00:00, 183.94it/s]
+[2024-09-06 14:08] [VideoHelperSuite] - WARNING - Output images were not of valid resolution and have had padding applied
+[2024-09-06 14:08] Prompt executed in 22.50 seconds
diff --git a/ComfyUI/comfyui_6004.prev.log b/ComfyUI/comfyui_6004.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..978854557b6a6c76a5ad21b6e35542a61f0b522e
--- /dev/null
+++ b/ComfyUI/comfyui_6004.prev.log
@@ -0,0 +1,65 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 14:00] ** ComfyUI startup time: 2024-09-06 14:00:42.210562
+[2024-09-06 14:00] ** Platform: Linux
+[2024-09-06 14:00] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 14:00] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 14:00] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 14:00] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 14:00] 
+Prestartup times for custom nodes:
+[2024-09-06 14:00]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:00] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:00] pytorch version: 2.4.1+cu121
+[2024-09-06 14:00] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:00] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:00] Using pytorch cross attention
+[2024-09-06 14:00] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 14:00] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 14:00] Ib Custom Nodes: Loaded
+[2024-09-06 14:00] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:00] pytorch version: 2.4.1+cu121
+[2024-09-06 14:00] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:00] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:00] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 14:00] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 14:00] 
+Import times for custom nodes:
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:00]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 14:00]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 14:00]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 14:00] 
+[2024-09-06 14:00] Starting server
+
+[2024-09-06 14:00] To see the GUI go to: http://0.0.0.0:6004
+[2024-09-06 14:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 14:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 14:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 14:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 14:00] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 14:00] got prompt
+[2024-09-06 14:00] LivePortrait using fp16
+[2024-09-06 14:00] Load appearance_feature_extractor done.
+[2024-09-06 14:00] Load motion_extractor done.
+[2024-09-06 14:00] Load warping_module done.
+[2024-09-06 14:00] Load spade_generator done.
+[2024-09-06 14:00] Load stitching_retargeting_module done.
+[2024-09-06 14:00] /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py:102: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self.model = torch.load(ckpt_path).to(self.device)
+[2024-09-06 14:00] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-06 14:00] 
Detecting, cropping, and processing..: 100%|██████| 1/1 [00:00<00:00,  1.67it/s]
Detecting, cropping, and processing..: 100%|██████| 1/1 [00:00<00:00,  1.67it/s]
+[2024-09-06 14:00] 
Processing driving images...: 100%|███████████| 152/152 [00:01<00:00, 87.10it/s]
Processing driving images...: 100%|███████████| 152/152 [00:01<00:00, 86.73it/s]
+[2024-09-06 14:01] 
Animating...: 100%|███████████████████████████| 152/152 [00:08<00:00, 18.04it/s]
+[2024-09-06 14:01] Total frames: 152
+[2024-09-06 14:01] 
Compositing..: 100%|█████████████████████████| 152/152 [00:00<00:00, 179.77it/s]
Compositing..: 100%|█████████████████████████| 152/152 [00:00<00:00, 180.71it/s]
+[2024-09-06 14:01] [VideoHelperSuite] - WARNING - Output images were not of valid resolution and have had padding applied
+[2024-09-06 14:01] Prompt executed in 21.28 seconds
+[2024-09-06 14:06] 
+Stopped server
diff --git a/ComfyUI/comfyui_6004.prev2.log b/ComfyUI/comfyui_6004.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..10cfd57bef943f143702a8dfafe7aa1e33ffa16f
--- /dev/null
+++ b/ComfyUI/comfyui_6004.prev2.log
@@ -0,0 +1,65 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 13:51] ** ComfyUI startup time: 2024-09-06 13:51:14.890178
+[2024-09-06 13:51] ** Platform: Linux
+[2024-09-06 13:51] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 13:51] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 13:51] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 13:51] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 13:51] 
+Prestartup times for custom nodes:
+[2024-09-06 13:51]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:51] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:51] pytorch version: 2.4.1+cu121
+[2024-09-06 13:51] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:51] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:51] Using pytorch cross attention
+[2024-09-06 13:51] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 13:51] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 13:51] Ib Custom Nodes: Loaded
+[2024-09-06 13:51] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 13:51] pytorch version: 2.4.1+cu121
+[2024-09-06 13:51] Set vram state to: NORMAL_VRAM
+[2024-09-06 13:51] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 13:51] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 13:51] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 13:51] 
+Import times for custom nodes:
+[2024-09-06 13:51]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 13:51]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 13:51]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 13:51]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 13:51]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 13:51]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 13:51]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 13:51]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 13:51] 
+[2024-09-06 13:51] Starting server
+
+[2024-09-06 13:51] To see the GUI go to: http://0.0.0.0:6004
+[2024-09-06 13:51] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 13:51] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 13:51] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 13:51] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 13:51] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 13:51] got prompt
+[2024-09-06 13:51] LivePortrait using fp16
+[2024-09-06 13:51] Load appearance_feature_extractor done.
+[2024-09-06 13:51] Load motion_extractor done.
+[2024-09-06 13:51] Load warping_module done.
+[2024-09-06 13:51] Load spade_generator done.
+[2024-09-06 13:51] Load stitching_retargeting_module done.
+[2024-09-06 13:51] /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py:102: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self.model = torch.load(ckpt_path).to(self.device)
+[2024-09-06 13:51] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-06 13:51] 
Detecting, cropping, and processing..: 100%|██████| 1/1 [00:00<00:00,  1.68it/s]
Detecting, cropping, and processing..: 100%|██████| 1/1 [00:00<00:00,  1.67it/s]
+[2024-09-06 13:51] 
Processing driving images...: 100%|███████████| 152/152 [00:01<00:00, 88.90it/s]
+[2024-09-06 13:51] 
Animating...: 100%|███████████████████████████| 152/152 [00:08<00:00, 18.09it/s]
+[2024-09-06 13:51] Total frames: 152
+[2024-09-06 13:51] 
Compositing..: 100%|█████████████████████████| 152/152 [00:00<00:00, 183.51it/s]
+[2024-09-06 13:51] [VideoHelperSuite] - WARNING - Output images were not of valid resolution and have had padding applied
+[2024-09-06 13:51] Prompt executed in 21.03 seconds
+[2024-09-06 13:54] 
+Stopped server
diff --git a/ComfyUI/comfyui_6005.log b/ComfyUI/comfyui_6005.log
new file mode 100644
index 0000000000000000000000000000000000000000..06ff8b44179141f57848c891190a16ef987edee0
--- /dev/null
+++ b/ComfyUI/comfyui_6005.log
@@ -0,0 +1,63 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 14:09] ** ComfyUI startup time: 2024-09-06 14:09:35.078649
+[2024-09-06 14:09] ** Platform: Linux
+[2024-09-06 14:09] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 14:09] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 14:09] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 14:09] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 14:09] 
+Prestartup times for custom nodes:
+[2024-09-06 14:09]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:09] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:09] pytorch version: 2.4.1+cu121
+[2024-09-06 14:09] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:09] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:09] Using pytorch cross attention
+[2024-09-06 14:09] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 14:09] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 14:09] Ib Custom Nodes: Loaded
+[2024-09-06 14:09] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:09] pytorch version: 2.4.1+cu121
+[2024-09-06 14:09] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:09] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:09] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 14:09] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 14:09] 
+Import times for custom nodes:
+[2024-09-06 14:09]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 14:09]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 14:09]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 14:09]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 14:09]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:09]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 14:09]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 14:09]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 14:09] 
+[2024-09-06 14:09] Starting server
+
+[2024-09-06 14:09] To see the GUI go to: http://0.0.0.0:6005
+[2024-09-06 14:09] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 14:09] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 14:09] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 14:09] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 14:09] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 14:09] got prompt
+[2024-09-06 14:09] LivePortrait using fp16
+[2024-09-06 14:09] Load appearance_feature_extractor done.
+[2024-09-06 14:09] Load motion_extractor done.
+[2024-09-06 14:09] Load warping_module done.
+[2024-09-06 14:09] Load spade_generator done.
+[2024-09-06 14:09] Load stitching_retargeting_module done.
+[2024-09-06 14:09] /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py:102: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self.model = torch.load(ckpt_path).to(self.device)
+[2024-09-06 14:09] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-06 14:09] 
Detecting, cropping, and processing..: 100%|███████████████████████████| 1/1 [00:00<00:00,  1.59it/s]
Detecting, cropping, and processing..: 100%|███████████████████████████| 1/1 [00:00<00:00,  1.59it/s]
+[2024-09-06 14:09] 
Processing driving images...: 100%|████████████████████████████████| 152/152 [00:01<00:00, 87.22it/s]
Processing driving images...: 100%|████████████████████████████████| 152/152 [00:01<00:00, 86.68it/s]
+[2024-09-06 14:09] 
Animating...: 100%|████████████████████████████████████████████████| 152/152 [00:08<00:00, 18.03it/s]
+[2024-09-06 14:09] Total frames: 152
+[2024-09-06 14:09] 
Compositing..: 100%|██████████████████████████████████████████████| 152/152 [00:00<00:00, 173.77it/s]
+[2024-09-06 14:09] [VideoHelperSuite] - WARNING - Output images were not of valid resolution and have had padding applied
+[2024-09-06 14:10] Prompt executed in 21.93 seconds
diff --git a/ComfyUI/comfyui_6005.prev.log b/ComfyUI/comfyui_6005.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..15aa088ed5bc7022023d558c1b4fdf8fc8625465
--- /dev/null
+++ b/ComfyUI/comfyui_6005.prev.log
@@ -0,0 +1,65 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-06 14:03] ** ComfyUI startup time: 2024-09-06 14:03:12.818981
+[2024-09-06 14:03] ** Platform: Linux
+[2024-09-06 14:03] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-06 14:03] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-06 14:03] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-06 14:03] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-06 14:03] 
+Prestartup times for custom nodes:
+[2024-09-06 14:03]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:03] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:03] pytorch version: 2.4.1+cu121
+[2024-09-06 14:03] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:03] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:03] Using pytorch cross attention
+[2024-09-06 14:03] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-06 14:03] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-06 14:03] Ib Custom Nodes: Loaded
+[2024-09-06 14:03] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-06 14:03] pytorch version: 2.4.1+cu121
+[2024-09-06 14:03] Set vram state to: NORMAL_VRAM
+[2024-09-06 14:03] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-06 14:03] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-06 14:03] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-06 14:03] 
+Import times for custom nodes:
+[2024-09-06 14:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-06 14:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-06 14:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-06 14:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-06 14:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-06 14:03]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-06 14:03]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-06 14:03]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-06 14:03] 
+[2024-09-06 14:03] Starting server
+
+[2024-09-06 14:03] To see the GUI go to: http://0.0.0.0:6005
+[2024-09-06 14:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-06 14:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-06 14:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-06 14:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-06 14:03] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-06 14:03] got prompt
+[2024-09-06 14:03] LivePortrait using fp16
+[2024-09-06 14:03] Load appearance_feature_extractor done.
+[2024-09-06 14:03] Load motion_extractor done.
+[2024-09-06 14:03] Load warping_module done.
+[2024-09-06 14:03] Load spade_generator done.
+[2024-09-06 14:03] Load stitching_retargeting_module done.
+[2024-09-06 14:03] /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py:102: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self.model = torch.load(ckpt_path).to(self.device)
+[2024-09-06 14:03] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/google/protobuf/symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
+  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
+[2024-09-06 14:03] 
Detecting, cropping, and processing..: 100%|██████| 1/1 [00:00<00:00,  1.59it/s]
Detecting, cropping, and processing..: 100%|██████| 1/1 [00:00<00:00,  1.59it/s]
+[2024-09-06 14:03] 
Processing driving images...: 100%|███████████| 152/152 [00:01<00:00, 84.95it/s]
Processing driving images...: 100%|███████████| 152/152 [00:01<00:00, 84.01it/s]
+[2024-09-06 14:03] 
Animating...: 100%|███████████████████████████| 152/152 [00:08<00:00, 18.03it/s]
+[2024-09-06 14:03] Total frames: 152
+[2024-09-06 14:03] 
Compositing..: 100%|█████████████████████████| 152/152 [00:00<00:00, 172.68it/s]
+[2024-09-06 14:03] [VideoHelperSuite] - WARNING - Output images were not of valid resolution and have had padding applied
+[2024-09-06 14:03] Prompt executed in 22.32 seconds
+[2024-09-06 14:06] 
+Stopped server
diff --git a/ComfyUI/comfyui_8000.log b/ComfyUI/comfyui_8000.log
new file mode 100644
index 0000000000000000000000000000000000000000..4f9e68d5dcd72b9a5dec80eab1f9f7baff57449c
--- /dev/null
+++ b/ComfyUI/comfyui_8000.log
@@ -0,0 +1,57 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-09 11:55] ** ComfyUI startup time: 2024-09-09 11:55:05.530946
+[2024-09-09 11:55] ** Platform: Linux
+[2024-09-09 11:55] ** Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]
+[2024-09-09 11:55] ** Python executable: /home/ubuntu/AI/AI_ENV/bin/python
+[2024-09-09 11:55] ** ComfyUI Path: /home/ubuntu/AI/ComfyUI
+[2024-09-09 11:55] ** Log path: /home/ubuntu/AI/ComfyUI/comfyui.log
+[2024-09-09 11:55] 
+Prestartup times for custom nodes:
+[2024-09-09 11:55]    1.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 11:55] 
+Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 11:55] pytorch version: 2.4.1+cu121
+[2024-09-09 11:55] Set vram state to: NORMAL_VRAM
+[2024-09-09 11:55] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 11:55] Using pytorch cross attention
+[2024-09-09 11:55] [Prompt Server] web root: /home/ubuntu/AI/ComfyUI/web
+[2024-09-09 11:55] /home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
+  @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
+[2024-09-09 11:55] Ib Custom Nodes: Loaded
+[2024-09-09 11:55] Total VRAM 22516 MB, total RAM 15779 MB
+[2024-09-09 11:55] pytorch version: 2.4.1+cu121
+[2024-09-09 11:55] Set vram state to: NORMAL_VRAM
+[2024-09-09 11:55] Device: cuda:0 NVIDIA A10G : cudaMallocAsync
+[2024-09-09 11:55] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-09 11:55] ### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)
+[2024-09-09 11:55] 
+Import times for custom nodes:
+[2024-09-09 11:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-09 11:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-09 11:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/comfyui_io_helpers
+[2024-09-09 11:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-09 11:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-09 11:55]    0.0 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-09 11:55]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-09 11:55]    0.1 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-09 11:55]    0.6 seconds: /home/ubuntu/AI/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait
+[2024-09-09 11:55] 
+[2024-09-09 11:55] Traceback (most recent call last):
+  File "/home/ubuntu/AI/ComfyUI/main.py", line 270, in <module>
+    loop.run_until_complete(run(server, address=args.listen, port=args.port, verbose=not args.dont_print_server, call_on_start=call_on_start))
+  File "/usr/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
+    return future.result()
+  File "/home/ubuntu/AI/ComfyUI/main.py", line 163, in run
+    await asyncio.gather(server.start(address, port, verbose, call_on_start), server.publish_loop())
+  File "/home/ubuntu/AI/ComfyUI/server.py", line 753, in start
+    await site.start()
+  File "/home/ubuntu/AI/AI_ENV/lib/python3.10/site-packages/aiohttp/web_runner.py", line 119, in start
+    self._server = await loop.create_server(
+  File "/usr/lib/python3.10/asyncio/base_events.py", line 1519, in create_server
+    raise OSError(err.errno, 'error while attempting '
+OSError: [Errno 98] error while attempting to bind on address ('0.0.0.0', 8000): address already in use
+[2024-09-09 11:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-09 11:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-09 11:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-09 11:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-09 11:55] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
diff --git a/ComfyUI/comfyui_8000.prev.log b/ComfyUI/comfyui_8000.prev.log
new file mode 100644
index 0000000000000000000000000000000000000000..f399b787bc8a7810a5b24dad07fd51c8aa121f70
--- /dev/null
+++ b/ComfyUI/comfyui_8000.prev.log
@@ -0,0 +1,43 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-03 19:28] ** ComfyUI startup time: 2024-09-03 19:28:09.892673
+[2024-09-03 19:28] ** Platform: Linux
+[2024-09-03 19:28] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-03 19:28] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-03 19:28] ** ComfyUI Path: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI
+[2024-09-03 19:28] ** Log path: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/comfyui.log
+[2024-09-03 19:28] 
+Prestartup times for custom nodes:
+[2024-09-03 19:28]    0.6 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 19:28] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 19:28] pytorch version: 2.3.0+cu118
+[2024-09-03 19:28] Set vram state to: NORMAL_VRAM
+[2024-09-03 19:28] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 19:28] Using pytorch cross attention
+[2024-09-03 19:28] [Prompt Server] web root: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/web
+[2024-09-03 19:28] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-03 19:28] ### ComfyUI Revision: 2643 [00a5d081] | Released on '2024-09-03'
+[2024-09-03 19:28] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 19:28] pytorch version: 2.3.0+cu118
+[2024-09-03 19:28] Set vram state to: NORMAL_VRAM
+[2024-09-03 19:28] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 19:28] Ib Custom Nodes: Loaded
+[2024-09-03 19:28] 
+Import times for custom nodes:
+[2024-09-03 19:28]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-03 19:28]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-03 19:28]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-03 19:28]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-03 19:28]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-03 19:28]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 19:28]    0.1 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-03 19:28] 
+[2024-09-03 19:28] Starting server
+
+[2024-09-03 19:28] To see the GUI go to: http://127.0.0.1:8000
+[2024-09-03 19:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-03 19:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-03 19:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-03 19:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-03 19:28] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-03 19:28] FETCH DATA from: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
diff --git a/ComfyUI/comfyui_8000.prev2.log b/ComfyUI/comfyui_8000.prev2.log
new file mode 100644
index 0000000000000000000000000000000000000000..2c3218382c8bc5affe19076529ef35abd0d61875
--- /dev/null
+++ b/ComfyUI/comfyui_8000.prev2.log
@@ -0,0 +1,43 @@
+## ComfyUI-Manager: installing dependencies done.
+[2024-09-03 19:24] ** ComfyUI startup time: 2024-09-03 19:24:32.660407
+[2024-09-03 19:24] ** Platform: Linux
+[2024-09-03 19:24] ** Python version: 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0]
+[2024-09-03 19:24] ** Python executable: /home/itek/miniconda3/envs/ai/bin/python
+[2024-09-03 19:24] ** ComfyUI Path: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI
+[2024-09-03 19:24] ** Log path: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/comfyui.log
+[2024-09-03 19:24] 
+Prestartup times for custom nodes:
+[2024-09-03 19:24]    0.7 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 19:24] 
+Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 19:24] pytorch version: 2.3.0+cu118
+[2024-09-03 19:24] Set vram state to: NORMAL_VRAM
+[2024-09-03 19:24] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 19:24] Using pytorch cross attention
+[2024-09-03 19:24] [Prompt Server] web root: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/web
+[2024-09-03 19:24] ### Loading: ComfyUI-Manager (V2.50.3)
+[2024-09-03 19:24] ### ComfyUI Revision: 2643 [00a5d081] | Released on '2024-09-03'
+[2024-09-03 19:24] Total VRAM 10007 MB, total RAM 32011 MB
+[2024-09-03 19:24] pytorch version: 2.3.0+cu118
+[2024-09-03 19:24] Set vram state to: NORMAL_VRAM
+[2024-09-03 19:24] Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
+[2024-09-03 19:24] Ib Custom Nodes: Loaded
+[2024-09-03 19:24] 
+Import times for custom nodes:
+[2024-09-03 19:24]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/websocket_image_save.py
+[2024-09-03 19:24]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes
+[2024-09-03 19:24]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-KJNodes
+[2024-09-03 19:24]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI_essentials
+[2024-09-03 19:24]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ
+[2024-09-03 19:24]    0.0 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager
+[2024-09-03 19:24]    0.1 seconds: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite
+[2024-09-03 19:24] 
+[2024-09-03 19:24] Starting server
+
+[2024-09-03 19:24] To see the GUI go to: http://127.0.0.1:8000
+[2024-09-03 19:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
+[2024-09-03 19:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
+[2024-09-03 19:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
+[2024-09-03 19:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
+[2024-09-03 19:24] [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[2024-09-03 19:25] FETCH DATA from: /home/itek/Desktop/api comfyui/ComfyUI/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]
diff --git a/ComfyUI/comfyui_screenshot.png b/ComfyUI/comfyui_screenshot.png
new file mode 100644
index 0000000000000000000000000000000000000000..73272eae69339f92c88422c45ad166cbc5900adf
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diff --git a/ComfyUI/cuda_malloc.py b/ComfyUI/cuda_malloc.py
new file mode 100644
index 0000000000000000000000000000000000000000..eb2857c5fe2db47c8e86fa64d3c53dcd7574408f
--- /dev/null
+++ b/ComfyUI/cuda_malloc.py
@@ -0,0 +1,90 @@
+import os
+import importlib.util
+from comfy.cli_args import args
+import subprocess
+
+#Can't use pytorch to get the GPU names because the cuda malloc has to be set before the first import.
+def get_gpu_names():
+    if os.name == 'nt':
+        import ctypes
+
+        # Define necessary C structures and types
+        class DISPLAY_DEVICEA(ctypes.Structure):
+            _fields_ = [
+                ('cb', ctypes.c_ulong),
+                ('DeviceName', ctypes.c_char * 32),
+                ('DeviceString', ctypes.c_char * 128),
+                ('StateFlags', ctypes.c_ulong),
+                ('DeviceID', ctypes.c_char * 128),
+                ('DeviceKey', ctypes.c_char * 128)
+            ]
+
+        # Load user32.dll
+        user32 = ctypes.windll.user32
+
+        # Call EnumDisplayDevicesA
+        def enum_display_devices():
+            device_info = DISPLAY_DEVICEA()
+            device_info.cb = ctypes.sizeof(device_info)
+            device_index = 0
+            gpu_names = set()
+
+            while user32.EnumDisplayDevicesA(None, device_index, ctypes.byref(device_info), 0):
+                device_index += 1
+                gpu_names.add(device_info.DeviceString.decode('utf-8'))
+            return gpu_names
+        return enum_display_devices()
+    else:
+        gpu_names = set()
+        out = subprocess.check_output(['nvidia-smi', '-L'])
+        for l in out.split(b'\n'):
+            if len(l) > 0:
+                gpu_names.add(l.decode('utf-8').split(' (UUID')[0])
+        return gpu_names
+
+blacklist = {"GeForce GTX TITAN X", "GeForce GTX 980", "GeForce GTX 970", "GeForce GTX 960", "GeForce GTX 950", "GeForce 945M",
+                "GeForce 940M", "GeForce 930M", "GeForce 920M", "GeForce 910M", "GeForce GTX 750", "GeForce GTX 745", "Quadro K620",
+                "Quadro K1200", "Quadro K2200", "Quadro M500", "Quadro M520", "Quadro M600", "Quadro M620", "Quadro M1000",
+                "Quadro M1200", "Quadro M2000", "Quadro M2200", "Quadro M3000", "Quadro M4000", "Quadro M5000", "Quadro M5500", "Quadro M6000",
+                "GeForce MX110", "GeForce MX130", "GeForce 830M", "GeForce 840M", "GeForce GTX 850M", "GeForce GTX 860M",
+                "GeForce GTX 1650", "GeForce GTX 1630", "Tesla M4", "Tesla M6", "Tesla M10", "Tesla M40", "Tesla M60"
+                }
+
+def cuda_malloc_supported():
+    try:
+        names = get_gpu_names()
+    except:
+        names = set()
+    for x in names:
+        if "NVIDIA" in x:
+            for b in blacklist:
+                if b in x:
+                    return False
+    return True
+
+
+if not args.cuda_malloc:
+    try:
+        version = ""
+        torch_spec = importlib.util.find_spec("torch")
+        for folder in torch_spec.submodule_search_locations:
+            ver_file = os.path.join(folder, "version.py")
+            if os.path.isfile(ver_file):
+                spec = importlib.util.spec_from_file_location("torch_version_import", ver_file)
+                module = importlib.util.module_from_spec(spec)
+                spec.loader.exec_module(module)
+                version = module.__version__
+        if int(version[0]) >= 2: #enable by default for torch version 2.0 and up
+            args.cuda_malloc = cuda_malloc_supported()
+    except:
+        pass
+
+
+if args.cuda_malloc and not args.disable_cuda_malloc:
+    env_var = os.environ.get('PYTORCH_CUDA_ALLOC_CONF', None)
+    if env_var is None:
+        env_var = "backend:cudaMallocAsync"
+    else:
+        env_var += ",backend:cudaMallocAsync"
+
+    os.environ['PYTORCH_CUDA_ALLOC_CONF'] = env_var
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/.github/workflows/publish.yml b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/.github/workflows/publish.yml
new file mode 100644
index 0000000000000000000000000000000000000000..a8719ae9bd44754607726d647881787327ec0c03
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/.github/workflows/publish.yml
@@ -0,0 +1,24 @@
+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+      - master
+    paths:
+      - "pyproject.toml"
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    # if this is a forked repository. Skipping the workflow.
+    if: github.event.repository.fork == false 
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          ## Add your own personal access token to your Github Repository secrets and reference it here.
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/.gitignore b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..341e31ecbc6b4128147af1fbeea6491b6b52ad04
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/.gitignore
@@ -0,0 +1,2 @@
+__pycache__
+.idea
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/__pycache__/live_portrait_wrapper.cpython-310.pyc b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/__pycache__/live_portrait_wrapper.cpython-310.pyc
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diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/config/inference_config.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/config/inference_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..8494c82875151b7b0227ca9705da54df06ca31b3
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/config/inference_config.py
@@ -0,0 +1,8 @@
+
+import os
+
+current_file_path = os.path.abspath(__file__)
+current_directory = os.path.dirname(current_file_path)
+class InferenceConfig:
+    def __init__(self):
+        self.flag_use_half_precision: bool = False  # whether to use half precision
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/config/models.yaml b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/config/models.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..131d1c65025c31e37af9239e211ea14454128a2e
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/config/models.yaml
@@ -0,0 +1,43 @@
+model_params:
+  appearance_feature_extractor_params: # the F in the paper
+    image_channel: 3
+    block_expansion: 64
+    num_down_blocks: 2
+    max_features: 512
+    reshape_channel: 32
+    reshape_depth: 16
+    num_resblocks: 6
+  motion_extractor_params: # the M in the paper
+    num_kp: 21
+    backbone: convnextv2_tiny
+  warping_module_params: # the W in the paper
+    num_kp: 21
+    block_expansion: 64
+    max_features: 512
+    num_down_blocks: 2
+    reshape_channel: 32
+    estimate_occlusion_map: True
+    dense_motion_params:
+      block_expansion: 32
+      max_features: 1024
+      num_blocks: 5
+      reshape_depth: 16
+      compress: 4
+  spade_generator_params: # the G in the paper
+    upscale: 2 # represents upsample factor 256x256 -> 512x512
+    block_expansion: 64
+    max_features: 512
+    num_down_blocks: 2
+  stitching_retargeting_module_params: # the S in the paper
+    stitching:
+      input_size: 126 # (21*3)*2
+      hidden_sizes: [128, 128, 64]
+      output_size: 65 # (21*3)+2(tx,ty)
+    lip:
+      input_size: 65 # (21*3)+2
+      hidden_sizes: [128, 128, 64]
+      output_size: 63 # (21*3)
+    eye:
+      input_size: 66 # (21*3)+3
+      hidden_sizes: [256, 256, 128, 128, 64]
+      output_size: 63 # (21*3)
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/live_portrait_wrapper.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/live_portrait_wrapper.py
new file mode 100644
index 0000000000000000000000000000000000000000..a71acb29112ba95576d0f9f1a7a2caa7e0aa5917
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/live_portrait_wrapper.py
@@ -0,0 +1,150 @@
+import numpy as np
+import torch
+
+from .utils.helper import concat_feat
+from .utils.camera import headpose_pred_to_degree, get_rotation_matrix
+from .config.inference_config import InferenceConfig
+
+class LivePortraitWrapper(object):
+
+    def __init__(self, cfg: InferenceConfig, appearance_feature_extractor, motion_extractor,
+                                            warping_module, spade_generator, stitching_retargeting_module):
+
+        self.appearance_feature_extractor = appearance_feature_extractor
+        self.motion_extractor = motion_extractor
+        self.warping_module = warping_module
+        self.spade_generator = spade_generator
+        self.stitching_retargeting_module = stitching_retargeting_module
+
+        self.cfg = cfg
+
+    def extract_feature_3d(self, x: torch.Tensor) -> torch.Tensor:
+        """ get the appearance feature of the image by F
+        x: Bx3xHxW, normalized to 0~1
+        """
+        with torch.no_grad():
+            feature_3d = self.appearance_feature_extractor(x)
+
+        return feature_3d.float()
+
+    def get_kp_info(self, x: torch.Tensor, **kwargs) -> dict:
+        """ get the implicit keypoint information
+        x: Bx3xHxW, normalized to 0~1
+        flag_refine_info: whether to trandform the pose to degrees and the dimention of the reshape
+        return: A dict contains keys: 'pitch', 'yaw', 'roll', 't', 'exp', 'scale', 'kp'
+        """
+        with torch.no_grad():
+            kp_info = self.motion_extractor(x)
+
+            if self.cfg.flag_use_half_precision:
+                # float the dict
+                for k, v in kp_info.items():
+                    if isinstance(v, torch.Tensor):
+                        kp_info[k] = v.float()
+
+        flag_refine_info: bool = kwargs.get('flag_refine_info', True)
+        if flag_refine_info:
+            bs = kp_info['kp'].shape[0]
+            kp_info['pitch'] = headpose_pred_to_degree(kp_info['pitch'])[:, None]  # Bx1
+            kp_info['yaw'] = headpose_pred_to_degree(kp_info['yaw'])[:, None]  # Bx1
+            kp_info['roll'] = headpose_pred_to_degree(kp_info['roll'])[:, None]  # Bx1
+            kp_info['kp'] = kp_info['kp'].reshape(bs, -1, 3)  # BxNx3
+            kp_info['exp'] = kp_info['exp'].reshape(bs, -1, 3)  # BxNx3
+
+        return kp_info
+    def transform_keypoint(self, kp_info: dict):
+        """
+        transform the implicit keypoints with the pose, shift, and expression deformation
+        kp: BxNx3
+        """
+        kp = kp_info['kp']    # (bs, k, 3)
+        pitch, yaw, roll = kp_info['pitch'], kp_info['yaw'], kp_info['roll']
+
+        t, exp = kp_info['t'], kp_info['exp']
+        scale = kp_info['scale']
+
+        pitch = headpose_pred_to_degree(pitch)
+        yaw = headpose_pred_to_degree(yaw)
+        roll = headpose_pred_to_degree(roll)
+
+        bs = kp.shape[0]
+        if kp.ndim == 2:
+            num_kp = kp.shape[1] // 3  # Bx(num_kpx3)
+        else:
+            num_kp = kp.shape[1]  # Bxnum_kpx3
+
+        rot_mat = get_rotation_matrix(pitch, yaw, roll)    # (bs, 3, 3)
+
+        # Eqn.2: s * (R * x_c,s + exp) + t
+        kp_transformed = kp.view(bs, num_kp, 3) @ rot_mat + exp.view(bs, num_kp, 3)
+        kp_transformed *= scale[..., None]  # (bs, k, 3) * (bs, 1, 1) = (bs, k, 3)
+        kp_transformed[:, :, 0:2] += t[:, None, 0:2]  # remove z, only apply tx ty
+
+        return kp_transformed
+
+    def stitch(self, kp_source: torch.Tensor, kp_driving: torch.Tensor) -> torch.Tensor:
+        """
+        kp_source: BxNx3
+        kp_driving: BxNx3
+        Return: Bx(3*num_kp+2)
+        """
+        feat_stiching = concat_feat(kp_source, kp_driving)
+
+        with torch.no_grad():
+            delta = self.stitching_retargeting_module['stitching'](feat_stiching)
+
+        return delta
+
+    def stitching(self, kp_source: torch.Tensor, kp_driving: torch.Tensor) -> torch.Tensor:
+        """ conduct the stitching
+        kp_source: Bxnum_kpx3
+        kp_driving: Bxnum_kpx3
+        """
+
+        if self.stitching_retargeting_module is not None:
+
+            bs, num_kp = kp_source.shape[:2]
+
+            kp_driving_new = kp_driving.clone()
+            delta = self.stitch(kp_source, kp_driving_new)
+
+            delta_exp = delta[..., :3*num_kp].reshape(bs, num_kp, 3)  # 1x20x3
+            delta_tx_ty = delta[..., 3*num_kp:3*num_kp+2].reshape(bs, 1, 2)  # 1x1x2
+
+            kp_driving_new += delta_exp
+            kp_driving_new[..., :2] += delta_tx_ty
+
+            return kp_driving_new
+
+        return kp_driving
+
+    def warp_decode(self, feature_3d: torch.Tensor, kp_source: torch.Tensor, kp_driving: torch.Tensor) -> torch.Tensor:
+        """ get the image after the warping of the implicit keypoints
+        feature_3d: Bx32x16x64x64, feature volume
+        kp_source: BxNx3
+        kp_driving: BxNx3
+        """
+        # The line 18 in Algorithm 1: D(W(f_s; x_s, x′_d,i)）
+        with torch.no_grad():
+            # get decoder input
+            ret_dct = self.warping_module(feature_3d, kp_source=kp_source, kp_driving=kp_driving)
+            # decode
+            ret_dct['out'] = self.spade_generator(feature=ret_dct['out'])
+
+            # float the dict
+            if self.cfg.flag_use_half_precision:
+                for k, v in ret_dct.items():
+                    if isinstance(v, torch.Tensor):
+                        ret_dct[k] = v.float()
+
+        return ret_dct
+
+    def parse_output(self, out: torch.Tensor) -> np.ndarray:
+        """ construct the output as standard
+        return: 1xHxWx3, uint8
+        """
+        out = np.transpose(out.data.cpu().numpy(), [0, 2, 3, 1])  # 1x3xHxW -> 1xHxWx3
+        out = np.clip(out, 0, 1)  # clip to 0~1
+        out = np.clip(out * 255, 0, 255).astype(np.uint8)  # 0~1 -> 0~255
+
+        return out
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/__init__.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/__init__.py
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diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/appearance_feature_extractor.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/appearance_feature_extractor.py
new file mode 100644
index 0000000000000000000000000000000000000000..8d89e4f18a2fbe58447f52ab4c5e3f2011a4ec80
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/appearance_feature_extractor.py
@@ -0,0 +1,48 @@
+# coding: utf-8
+
+"""
+Appearance extractor(F) defined in paper, which maps the source image s to a 3D appearance feature volume.
+"""
+
+import torch
+from torch import nn
+from .util import SameBlock2d, DownBlock2d, ResBlock3d
+
+
+class AppearanceFeatureExtractor(nn.Module):
+
+    def __init__(self, image_channel, block_expansion, num_down_blocks, max_features, reshape_channel, reshape_depth, num_resblocks):
+        super(AppearanceFeatureExtractor, self).__init__()
+        self.image_channel = image_channel
+        self.block_expansion = block_expansion
+        self.num_down_blocks = num_down_blocks
+        self.max_features = max_features
+        self.reshape_channel = reshape_channel
+        self.reshape_depth = reshape_depth
+
+        self.first = SameBlock2d(image_channel, block_expansion, kernel_size=(3, 3), padding=(1, 1))
+
+        down_blocks = []
+        for i in range(num_down_blocks):
+            in_features = min(max_features, block_expansion * (2 ** i))
+            out_features = min(max_features, block_expansion * (2 ** (i + 1)))
+            down_blocks.append(DownBlock2d(in_features, out_features, kernel_size=(3, 3), padding=(1, 1)))
+        self.down_blocks = nn.ModuleList(down_blocks)
+
+        self.second = nn.Conv2d(in_channels=out_features, out_channels=max_features, kernel_size=1, stride=1)
+
+        self.resblocks_3d = torch.nn.Sequential()
+        for i in range(num_resblocks):
+            self.resblocks_3d.add_module('3dr' + str(i), ResBlock3d(reshape_channel, kernel_size=3, padding=1))
+
+    def forward(self, source_image):
+        out = self.first(source_image)  # Bx3x256x256 -> Bx64x256x256
+
+        for i in range(len(self.down_blocks)):
+            out = self.down_blocks[i](out)
+        out = self.second(out)
+        bs, c, h, w = out.shape  # ->Bx512x64x64
+
+        f_s = out.view(bs, self.reshape_channel, self.reshape_depth, h, w)  # ->Bx32x16x64x64
+        f_s = self.resblocks_3d(f_s)  # ->Bx32x16x64x64
+        return f_s
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/convnextv2.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/convnextv2.py
new file mode 100644
index 0000000000000000000000000000000000000000..83ea12662b607854915df8c7abb160b588d330b1
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/convnextv2.py
@@ -0,0 +1,149 @@
+# coding: utf-8
+
+"""
+This moudle is adapted to the ConvNeXtV2 version for the extraction of implicit keypoints, poses, and expression deformation.
+"""
+
+import torch
+import torch.nn as nn
+# from timm.models.layers import trunc_normal_, DropPath
+from .util import LayerNorm, DropPath, trunc_normal_, GRN
+
+__all__ = ['convnextv2_tiny']
+
+
+class Block(nn.Module):
+    """ ConvNeXtV2 Block.
+
+    Args:
+        dim (int): Number of input channels.
+        drop_path (float): Stochastic depth rate. Default: 0.0
+    """
+
+    def __init__(self, dim, drop_path=0.):
+        super().__init__()
+        self.dwconv = nn.Conv2d(dim, dim, kernel_size=7, padding=3, groups=dim)  # depthwise conv
+        self.norm = LayerNorm(dim, eps=1e-6)
+        self.pwconv1 = nn.Linear(dim, 4 * dim)  # pointwise/1x1 convs, implemented with linear layers
+        self.act = nn.GELU()
+        self.grn = GRN(4 * dim)
+        self.pwconv2 = nn.Linear(4 * dim, dim)
+        self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity()
+
+    def forward(self, x):
+        input = x
+        x = self.dwconv(x)
+        x = x.permute(0, 2, 3, 1)  # (N, C, H, W) -> (N, H, W, C)
+        x = self.norm(x)
+        x = self.pwconv1(x)
+        x = self.act(x)
+        x = self.grn(x)
+        x = self.pwconv2(x)
+        x = x.permute(0, 3, 1, 2)  # (N, H, W, C) -> (N, C, H, W)
+
+        x = input + self.drop_path(x)
+        return x
+
+
+class ConvNeXtV2(nn.Module):
+    """ ConvNeXt V2
+
+    Args:
+        in_chans (int): Number of input image channels. Default: 3
+        num_classes (int): Number of classes for classification head. Default: 1000
+        depths (tuple(int)): Number of blocks at each stage. Default: [3, 3, 9, 3]
+        dims (int): Feature dimension at each stage. Default: [96, 192, 384, 768]
+        drop_path_rate (float): Stochastic depth rate. Default: 0.
+        head_init_scale (float): Init scaling value for classifier weights and biases. Default: 1.
+    """
+
+    def __init__(
+        self,
+        in_chans=3,
+        depths=[3, 3, 9, 3],
+        dims=[96, 192, 384, 768],
+        drop_path_rate=0.,
+        **kwargs
+    ):
+        super().__init__()
+        self.depths = depths
+        self.downsample_layers = nn.ModuleList()  # stem and 3 intermediate downsampling conv layers
+        stem = nn.Sequential(
+            nn.Conv2d(in_chans, dims[0], kernel_size=4, stride=4),
+            LayerNorm(dims[0], eps=1e-6, data_format="channels_first")
+        )
+        self.downsample_layers.append(stem)
+        for i in range(3):
+            downsample_layer = nn.Sequential(
+                LayerNorm(dims[i], eps=1e-6, data_format="channels_first"),
+                nn.Conv2d(dims[i], dims[i+1], kernel_size=2, stride=2),
+            )
+            self.downsample_layers.append(downsample_layer)
+
+        self.stages = nn.ModuleList()  # 4 feature resolution stages, each consisting of multiple residual blocks
+        dp_rates = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))]
+        cur = 0
+        for i in range(4):
+            stage = nn.Sequential(
+                *[Block(dim=dims[i], drop_path=dp_rates[cur + j]) for j in range(depths[i])]
+            )
+            self.stages.append(stage)
+            cur += depths[i]
+
+        self.norm = nn.LayerNorm(dims[-1], eps=1e-6)  # final norm layer
+
+        # NOTE: the output semantic items
+        num_bins = kwargs.get('num_bins', 66)
+        num_kp = kwargs.get('num_kp', 24)  # the number of implicit keypoints
+        self.fc_kp = nn.Linear(dims[-1], 3 * num_kp)  # implicit keypoints
+
+        # print('dims[-1]: ', dims[-1])
+        self.fc_scale = nn.Linear(dims[-1], 1)  # scale
+        self.fc_pitch = nn.Linear(dims[-1], num_bins)  # pitch bins
+        self.fc_yaw = nn.Linear(dims[-1], num_bins)  # yaw bins
+        self.fc_roll = nn.Linear(dims[-1], num_bins)  # roll bins
+        self.fc_t = nn.Linear(dims[-1], 3)  # translation
+        self.fc_exp = nn.Linear(dims[-1], 3 * num_kp)  # expression / delta
+
+    def _init_weights(self, m):
+        if isinstance(m, (nn.Conv2d, nn.Linear)):
+            trunc_normal_(m.weight, std=.02)
+            nn.init.constant_(m.bias, 0)
+
+    def forward_features(self, x):
+        for i in range(4):
+            x = self.downsample_layers[i](x)
+            x = self.stages[i](x)
+        return self.norm(x.mean([-2, -1]))  # global average pooling, (N, C, H, W) -> (N, C)
+
+    def forward(self, x):
+        x = self.forward_features(x)
+
+        # implicit keypoints
+        kp = self.fc_kp(x)
+
+        # pose and expression deformation
+        pitch = self.fc_pitch(x)
+        yaw = self.fc_yaw(x)
+        roll = self.fc_roll(x)
+        t = self.fc_t(x)
+        exp = self.fc_exp(x)
+        scale = self.fc_scale(x)
+
+        ret_dct = {
+            'pitch': pitch,
+            'yaw': yaw,
+            'roll': roll,
+            't': t,
+            'exp': exp,
+            'scale': scale,
+
+            'kp': kp,  # canonical keypoint
+        }
+
+        return ret_dct
+
+
+def convnextv2_tiny(**kwargs):
+    model = ConvNeXtV2(depths=[3, 3, 9, 3], dims=[96, 192, 384, 768], **kwargs)
+    return model
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/dense_motion.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/dense_motion.py
new file mode 100644
index 0000000000000000000000000000000000000000..c1a7f9a5a1b5463c4a1ddcee2bf36dcd34735706
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/dense_motion.py
@@ -0,0 +1,104 @@
+# coding: utf-8
+
+"""
+The module that predicting a dense motion from sparse motion representation given by kp_source and kp_driving
+"""
+
+from torch import nn
+import torch.nn.functional as F
+import torch
+from .util import Hourglass, make_coordinate_grid, kp2gaussian
+
+
+class DenseMotionNetwork(nn.Module):
+    def __init__(self, block_expansion, num_blocks, max_features, num_kp, feature_channel, reshape_depth, compress, estimate_occlusion_map=True):
+        super(DenseMotionNetwork, self).__init__()
+        self.hourglass = Hourglass(block_expansion=block_expansion, in_features=(num_kp+1)*(compress+1), max_features=max_features, num_blocks=num_blocks)  # ~60+G
+
+        self.mask = nn.Conv3d(self.hourglass.out_filters, num_kp + 1, kernel_size=7, padding=3)  # 65G! NOTE: computation cost is large
+        self.compress = nn.Conv3d(feature_channel, compress, kernel_size=1)  # 0.8G
+        self.norm = nn.BatchNorm3d(compress, affine=True)
+        self.num_kp = num_kp
+        self.flag_estimate_occlusion_map = estimate_occlusion_map
+
+        if self.flag_estimate_occlusion_map:
+            self.occlusion = nn.Conv2d(self.hourglass.out_filters*reshape_depth, 1, kernel_size=7, padding=3)
+        else:
+            self.occlusion = None
+
+    def create_sparse_motions(self, feature, kp_driving, kp_source):
+        bs, _, d, h, w = feature.shape  # (bs, 4, 16, 64, 64)
+        identity_grid = make_coordinate_grid((d, h, w), ref=kp_source)  # (16, 64, 64, 3)
+        identity_grid = identity_grid.view(1, 1, d, h, w, 3)  # (1, 1, d=16, h=64, w=64, 3)
+        coordinate_grid = identity_grid - kp_driving.view(bs, self.num_kp, 1, 1, 1, 3)
+
+        k = coordinate_grid.shape[1]
+
+        # NOTE: there lacks an one-order flow
+        driving_to_source = coordinate_grid + kp_source.view(bs, self.num_kp, 1, 1, 1, 3)    # (bs, num_kp, d, h, w, 3)
+
+        # adding background feature
+        identity_grid = identity_grid.repeat(bs, 1, 1, 1, 1, 1)
+        sparse_motions = torch.cat([identity_grid, driving_to_source], dim=1)  # (bs, 1+num_kp, d, h, w, 3)
+        return sparse_motions
+
+    def create_deformed_feature(self, feature, sparse_motions):
+        bs, _, d, h, w = feature.shape
+        feature_repeat = feature.unsqueeze(1).unsqueeze(1).repeat(1, self.num_kp+1, 1, 1, 1, 1, 1)      # (bs, num_kp+1, 1, c, d, h, w)
+        feature_repeat = feature_repeat.view(bs * (self.num_kp+1), -1, d, h, w)                         # (bs*(num_kp+1), c, d, h, w)
+        sparse_motions = sparse_motions.view((bs * (self.num_kp+1), d, h, w, -1))                       # (bs*(num_kp+1), d, h, w, 3)
+        sparse_deformed = F.grid_sample(feature_repeat, sparse_motions, align_corners=False)
+        sparse_deformed = sparse_deformed.view((bs, self.num_kp+1, -1, d, h, w))                        # (bs, num_kp+1, c, d, h, w)
+
+        return sparse_deformed
+
+    def create_heatmap_representations(self, feature, kp_driving, kp_source):
+        spatial_size = feature.shape[3:]  # (d=16, h=64, w=64)
+        gaussian_driving = kp2gaussian(kp_driving, spatial_size=spatial_size, kp_variance=0.01)  # (bs, num_kp, d, h, w)
+        gaussian_source = kp2gaussian(kp_source, spatial_size=spatial_size, kp_variance=0.01)  # (bs, num_kp, d, h, w)
+        heatmap = gaussian_driving - gaussian_source  # (bs, num_kp, d, h, w)
+
+        # adding background feature
+        zeros = torch.zeros(heatmap.shape[0], 1, spatial_size[0], spatial_size[1], spatial_size[2]).type(heatmap.dtype).to(heatmap.device)
+        heatmap = torch.cat([zeros, heatmap], dim=1)
+        heatmap = heatmap.unsqueeze(2)         # (bs, 1+num_kp, 1, d, h, w)
+        return heatmap
+
+    def forward(self, feature, kp_driving, kp_source):
+        bs, _, d, h, w = feature.shape  # (bs, 32, 16, 64, 64)
+
+        feature = self.compress(feature)  # (bs, 4, 16, 64, 64)
+        feature = self.norm(feature)  # (bs, 4, 16, 64, 64)
+        feature = F.relu(feature)  # (bs, 4, 16, 64, 64)
+
+        out_dict = dict()
+
+        # 1. deform 3d feature
+        sparse_motion = self.create_sparse_motions(feature, kp_driving, kp_source)  # (bs, 1+num_kp, d, h, w, 3)
+        deformed_feature = self.create_deformed_feature(feature, sparse_motion)  # (bs, 1+num_kp, c=4, d=16, h=64, w=64)
+
+        # 2. (bs, 1+num_kp, d, h, w)
+        heatmap = self.create_heatmap_representations(deformed_feature, kp_driving, kp_source)  # (bs, 1+num_kp, 1, d, h, w)
+
+        input = torch.cat([heatmap, deformed_feature], dim=2)  # (bs, 1+num_kp, c=5, d=16, h=64, w=64)
+        input = input.view(bs, -1, d, h, w)  # (bs, (1+num_kp)*c=105, d=16, h=64, w=64)
+
+        prediction = self.hourglass(input)
+
+        mask = self.mask(prediction)
+        mask = F.softmax(mask, dim=1)  # (bs, 1+num_kp, d=16, h=64, w=64)
+        out_dict['mask'] = mask
+        mask = mask.unsqueeze(2)                                   # (bs, num_kp+1, 1, d, h, w)
+        sparse_motion = sparse_motion.permute(0, 1, 5, 2, 3, 4)    # (bs, num_kp+1, 3, d, h, w)
+        deformation = (sparse_motion * mask).sum(dim=1)            # (bs, 3, d, h, w)  mask take effect in this place
+        deformation = deformation.permute(0, 2, 3, 4, 1)           # (bs, d, h, w, 3)
+
+        out_dict['deformation'] = deformation
+
+        if self.flag_estimate_occlusion_map:
+            bs, _, d, h, w = prediction.shape
+            prediction_reshape = prediction.view(bs, -1, h, w)
+            occlusion_map = torch.sigmoid(self.occlusion(prediction_reshape))  # Bx1x64x64
+            out_dict['occlusion_map'] = occlusion_map
+
+        return out_dict
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/motion_extractor.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/motion_extractor.py
new file mode 100644
index 0000000000000000000000000000000000000000..b2982e53c52d9ec1e0bec0453cc05edb51a15d23
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/motion_extractor.py
@@ -0,0 +1,35 @@
+# coding: utf-8
+
+"""
+Motion extractor(M), which directly predicts the canonical keypoints, head pose and expression deformation of the input image
+"""
+
+from torch import nn
+import torch
+
+from .convnextv2 import convnextv2_tiny
+from .util import filter_state_dict
+
+model_dict = {
+    'convnextv2_tiny': convnextv2_tiny,
+}
+
+
+class MotionExtractor(nn.Module):
+    def __init__(self, **kwargs):
+        super(MotionExtractor, self).__init__()
+
+        # default is convnextv2_base
+        backbone = kwargs.get('backbone', 'convnextv2_tiny')
+        self.detector = model_dict.get(backbone)(**kwargs)
+
+    def load_pretrained(self, init_path: str):
+        if init_path not in (None, ''):
+            state_dict = torch.load(init_path, map_location=lambda storage, loc: storage)['model']
+            state_dict = filter_state_dict(state_dict, remove_name='head')
+            ret = self.detector.load_state_dict(state_dict, strict=False)
+            print(f'Load pretrained model from {init_path}, ret: {ret}')
+
+    def forward(self, x):
+        out = self.detector(x)
+        return out
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/spade_generator.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/spade_generator.py
new file mode 100644
index 0000000000000000000000000000000000000000..147a9aed0c7707fe6ae3d59ce1a30154ef75afcc
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/spade_generator.py
@@ -0,0 +1,59 @@
+# coding: utf-8
+
+"""
+Spade decoder(G) defined in the paper, which input the warped feature to generate the animated image.
+"""
+
+import torch
+from torch import nn
+import torch.nn.functional as F
+from .util import SPADEResnetBlock
+
+
+class SPADEDecoder(nn.Module):
+    def __init__(self, upscale=1, max_features=256, block_expansion=64, out_channels=64, num_down_blocks=2):
+        for i in range(num_down_blocks):
+            input_channels = min(max_features, block_expansion * (2 ** (i + 1)))
+        self.upscale = upscale
+        super().__init__()
+        norm_G = 'spadespectralinstance'
+        label_num_channels = input_channels  # 256
+
+        self.fc = nn.Conv2d(input_channels, 2 * input_channels, 3, padding=1)
+        self.G_middle_0 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.G_middle_1 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.G_middle_2 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.G_middle_3 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.G_middle_4 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.G_middle_5 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.up_0 = SPADEResnetBlock(2 * input_channels, input_channels, norm_G, label_num_channels)
+        self.up_1 = SPADEResnetBlock(input_channels, out_channels, norm_G, label_num_channels)
+        self.up = nn.Upsample(scale_factor=2)
+
+        if self.upscale is None or self.upscale <= 1:
+            self.conv_img = nn.Conv2d(out_channels, 3, 3, padding=1)
+        else:
+            self.conv_img = nn.Sequential(
+                nn.Conv2d(out_channels, 3 * (2 * 2), kernel_size=3, padding=1),
+                nn.PixelShuffle(upscale_factor=2)
+            )
+
+    def forward(self, feature):
+        seg = feature  # Bx256x64x64
+        x = self.fc(feature)  # Bx512x64x64
+        x = self.G_middle_0(x, seg)
+        x = self.G_middle_1(x, seg)
+        x = self.G_middle_2(x, seg)
+        x = self.G_middle_3(x, seg)
+        x = self.G_middle_4(x, seg)
+        x = self.G_middle_5(x, seg)
+
+        x = self.up(x)  # Bx512x64x64 -> Bx512x128x128
+        x = self.up_0(x, seg)  # Bx512x128x128 -> Bx256x128x128
+        x = self.up(x)  # Bx256x128x128 -> Bx256x256x256
+        x = self.up_1(x, seg)  # Bx256x256x256 -> Bx64x256x256
+
+        x = self.conv_img(F.leaky_relu(x, 2e-1))  # Bx64x256x256 -> Bx3xHxW
+        x = torch.sigmoid(x)  # Bx3xHxW
+
+        return x
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/stitching_retargeting_network.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/stitching_retargeting_network.py
new file mode 100644
index 0000000000000000000000000000000000000000..5f50b7cf5a21cd71c70a7bbaaa4b6b68b4762ea3
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/stitching_retargeting_network.py
@@ -0,0 +1,38 @@
+# coding: utf-8
+
+"""
+Stitching module(S) and two retargeting modules(R) defined in the paper.
+
+- The stitching module pastes the animated portrait back into the original image space without pixel misalignment, such as in
+the stitching region.
+
+- The eyes retargeting module is designed to address the issue of incomplete eye closure during cross-id reenactment, especially
+when a person with small eyes drives a person with larger eyes.
+
+- The lip retargeting module is designed similarly to the eye retargeting module, and can also normalize the input by ensuring that
+the lips are in a closed state, which facilitates better animation driving.
+"""
+from torch import nn
+
+
+class StitchingRetargetingNetwork(nn.Module):
+    def __init__(self, input_size, hidden_sizes, output_size):
+        super(StitchingRetargetingNetwork, self).__init__()
+        layers = []
+        for i in range(len(hidden_sizes)):
+            if i == 0:
+                layers.append(nn.Linear(input_size, hidden_sizes[i]))
+            else:
+                layers.append(nn.Linear(hidden_sizes[i - 1], hidden_sizes[i]))
+            layers.append(nn.ReLU(inplace=True))
+        layers.append(nn.Linear(hidden_sizes[-1], output_size))
+        self.mlp = nn.Sequential(*layers)
+
+    def initialize_weights_to_zero(self):
+        for m in self.modules():
+            if isinstance(m, nn.Linear):
+                nn.init.zeros_(m.weight)
+                nn.init.zeros_(m.bias)
+
+    def forward(self, x):
+        return self.mlp(x)
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/util.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/util.py
new file mode 100644
index 0000000000000000000000000000000000000000..f83980b24372bee38779ceeb3349fca91735e56e
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/util.py
@@ -0,0 +1,441 @@
+# coding: utf-8
+
+"""
+This file defines various neural network modules and utility functions, including convolutional and residual blocks,
+normalizations, and functions for spatial transformation and tensor manipulation.
+"""
+
+from torch import nn
+import torch.nn.functional as F
+import torch
+import torch.nn.utils.spectral_norm as spectral_norm
+import math
+import warnings
+
+
+def kp2gaussian(kp, spatial_size, kp_variance):
+    """
+    Transform a keypoint into gaussian like representation
+    """
+    mean = kp
+
+    coordinate_grid = make_coordinate_grid(spatial_size, mean)
+    number_of_leading_dimensions = len(mean.shape) - 1
+    shape = (1,) * number_of_leading_dimensions + coordinate_grid.shape
+    coordinate_grid = coordinate_grid.view(*shape)
+    repeats = mean.shape[:number_of_leading_dimensions] + (1, 1, 1, 1)
+    coordinate_grid = coordinate_grid.repeat(*repeats)
+
+    # Preprocess kp shape
+    shape = mean.shape[:number_of_leading_dimensions] + (1, 1, 1, 3)
+    mean = mean.view(*shape)
+
+    mean_sub = (coordinate_grid - mean)
+
+    out = torch.exp(-0.5 * (mean_sub ** 2).sum(-1) / kp_variance)
+
+    return out
+
+
+def make_coordinate_grid(spatial_size, ref, **kwargs):
+    d, h, w = spatial_size
+    x = torch.arange(w).type(ref.dtype).to(ref.device)
+    y = torch.arange(h).type(ref.dtype).to(ref.device)
+    z = torch.arange(d).type(ref.dtype).to(ref.device)
+
+    # NOTE: must be right-down-in
+    x = (2 * (x / (w - 1)) - 1)  # the x axis faces to the right
+    y = (2 * (y / (h - 1)) - 1)  # the y axis faces to the bottom
+    z = (2 * (z / (d - 1)) - 1)  # the z axis faces to the inner
+
+    yy = y.view(1, -1, 1).repeat(d, 1, w)
+    xx = x.view(1, 1, -1).repeat(d, h, 1)
+    zz = z.view(-1, 1, 1).repeat(1, h, w)
+
+    meshed = torch.cat([xx.unsqueeze_(3), yy.unsqueeze_(3), zz.unsqueeze_(3)], 3)
+
+    return meshed
+
+
+class ConvT2d(nn.Module):
+    """
+    Upsampling block for use in decoder.
+    """
+
+    def __init__(self, in_features, out_features, kernel_size=3, stride=2, padding=1, output_padding=1):
+        super(ConvT2d, self).__init__()
+
+        self.convT = nn.ConvTranspose2d(in_features, out_features, kernel_size=kernel_size, stride=stride,
+                                        padding=padding, output_padding=output_padding)
+        self.norm = nn.InstanceNorm2d(out_features)
+
+    def forward(self, x):
+        out = self.convT(x)
+        out = self.norm(out)
+        out = F.leaky_relu(out)
+        return out
+
+
+class ResBlock3d(nn.Module):
+    """
+    Res block, preserve spatial resolution.
+    """
+
+    def __init__(self, in_features, kernel_size, padding):
+        super(ResBlock3d, self).__init__()
+        self.conv1 = nn.Conv3d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, padding=padding)
+        self.conv2 = nn.Conv3d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, padding=padding)
+        self.norm1 = nn.BatchNorm3d(in_features, affine=True)
+        self.norm2 = nn.BatchNorm3d(in_features, affine=True)
+
+    def forward(self, x):
+        out = self.norm1(x)
+        out = F.relu(out)
+        out = self.conv1(out)
+        out = self.norm2(out)
+        out = F.relu(out)
+        out = self.conv2(out)
+        out += x
+        return out
+
+
+class UpBlock3d(nn.Module):
+    """
+    Upsampling block for use in decoder.
+    """
+
+    def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1):
+        super(UpBlock3d, self).__init__()
+
+        self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size,
+                              padding=padding, groups=groups)
+        self.norm = nn.BatchNorm3d(out_features, affine=True)
+
+    def forward(self, x):
+        out = F.interpolate(x, scale_factor=(1, 2, 2))
+        out = self.conv(out)
+        out = self.norm(out)
+        out = F.relu(out)
+        return out
+
+
+class DownBlock2d(nn.Module):
+    """
+    Downsampling block for use in encoder.
+    """
+
+    def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1):
+        super(DownBlock2d, self).__init__()
+        self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, padding=padding, groups=groups)
+        self.norm = nn.BatchNorm2d(out_features, affine=True)
+        self.pool = nn.AvgPool2d(kernel_size=(2, 2))
+
+    def forward(self, x):
+        out = self.conv(x)
+        out = self.norm(out)
+        out = F.relu(out)
+        out = self.pool(out)
+        return out
+
+
+class DownBlock3d(nn.Module):
+    """
+    Downsampling block for use in encoder.
+    """
+
+    def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1):
+        super(DownBlock3d, self).__init__()
+        '''
+        self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size,
+                                padding=padding, groups=groups, stride=(1, 2, 2))
+        '''
+        self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size,
+                              padding=padding, groups=groups)
+        self.norm = nn.BatchNorm3d(out_features, affine=True)
+        self.pool = nn.AvgPool3d(kernel_size=(1, 2, 2))
+
+    def forward(self, x):
+        out = self.conv(x)
+        out = self.norm(out)
+        out = F.relu(out)
+        out = self.pool(out)
+        return out
+
+
+class SameBlock2d(nn.Module):
+    """
+    Simple block, preserve spatial resolution.
+    """
+
+    def __init__(self, in_features, out_features, groups=1, kernel_size=3, padding=1, lrelu=False):
+        super(SameBlock2d, self).__init__()
+        self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, padding=padding, groups=groups)
+        self.norm = nn.BatchNorm2d(out_features, affine=True)
+        if lrelu:
+            self.ac = nn.LeakyReLU()
+        else:
+            self.ac = nn.ReLU()
+
+    def forward(self, x):
+        out = self.conv(x)
+        out = self.norm(out)
+        out = self.ac(out)
+        return out
+
+
+class Encoder(nn.Module):
+    """
+    Hourglass Encoder
+    """
+
+    def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256):
+        super(Encoder, self).__init__()
+
+        down_blocks = []
+        for i in range(num_blocks):
+            down_blocks.append(DownBlock3d(in_features if i == 0 else min(max_features, block_expansion * (2 ** i)), min(max_features, block_expansion * (2 ** (i + 1))), kernel_size=3, padding=1))
+        self.down_blocks = nn.ModuleList(down_blocks)
+
+    def forward(self, x):
+        outs = [x]
+        for down_block in self.down_blocks:
+            outs.append(down_block(outs[-1]))
+        return outs
+
+
+class Decoder(nn.Module):
+    """
+    Hourglass Decoder
+    """
+
+    def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256):
+        super(Decoder, self).__init__()
+
+        up_blocks = []
+
+        for i in range(num_blocks)[::-1]:
+            in_filters = (1 if i == num_blocks - 1 else 2) * min(max_features, block_expansion * (2 ** (i + 1)))
+            out_filters = min(max_features, block_expansion * (2 ** i))
+            up_blocks.append(UpBlock3d(in_filters, out_filters, kernel_size=3, padding=1))
+
+        self.up_blocks = nn.ModuleList(up_blocks)
+        self.out_filters = block_expansion + in_features
+
+        self.conv = nn.Conv3d(in_channels=self.out_filters, out_channels=self.out_filters, kernel_size=3, padding=1)
+        self.norm = nn.BatchNorm3d(self.out_filters, affine=True)
+
+    def forward(self, x):
+        out = x.pop()
+        for up_block in self.up_blocks:
+            out = up_block(out)
+            skip = x.pop()
+            out = torch.cat([out, skip], dim=1)
+        out = self.conv(out)
+        out = self.norm(out)
+        out = F.relu(out)
+        return out
+
+
+class Hourglass(nn.Module):
+    """
+    Hourglass architecture.
+    """
+
+    def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256):
+        super(Hourglass, self).__init__()
+        self.encoder = Encoder(block_expansion, in_features, num_blocks, max_features)
+        self.decoder = Decoder(block_expansion, in_features, num_blocks, max_features)
+        self.out_filters = self.decoder.out_filters
+
+    def forward(self, x):
+        return self.decoder(self.encoder(x))
+
+
+class SPADE(nn.Module):
+    def __init__(self, norm_nc, label_nc):
+        super().__init__()
+
+        self.param_free_norm = nn.InstanceNorm2d(norm_nc, affine=False)
+        nhidden = 128
+
+        self.mlp_shared = nn.Sequential(
+            nn.Conv2d(label_nc, nhidden, kernel_size=3, padding=1),
+            nn.ReLU())
+        self.mlp_gamma = nn.Conv2d(nhidden, norm_nc, kernel_size=3, padding=1)
+        self.mlp_beta = nn.Conv2d(nhidden, norm_nc, kernel_size=3, padding=1)
+
+    def forward(self, x, segmap):
+        normalized = self.param_free_norm(x)
+        segmap = F.interpolate(segmap, size=x.size()[2:], mode='nearest')
+        actv = self.mlp_shared(segmap)
+        gamma = self.mlp_gamma(actv)
+        beta = self.mlp_beta(actv)
+        out = normalized * (1 + gamma) + beta
+        return out
+
+
+class SPADEResnetBlock(nn.Module):
+    def __init__(self, fin, fout, norm_G, label_nc, use_se=False, dilation=1):
+        super().__init__()
+        # Attributes
+        self.learned_shortcut = (fin != fout)
+        fmiddle = min(fin, fout)
+        self.use_se = use_se
+        # create conv layers
+        self.conv_0 = nn.Conv2d(fin, fmiddle, kernel_size=3, padding=dilation, dilation=dilation)
+        self.conv_1 = nn.Conv2d(fmiddle, fout, kernel_size=3, padding=dilation, dilation=dilation)
+        if self.learned_shortcut:
+            self.conv_s = nn.Conv2d(fin, fout, kernel_size=1, bias=False)
+        # apply spectral norm if specified
+        if 'spectral' in norm_G:
+            self.conv_0 = spectral_norm(self.conv_0)
+            self.conv_1 = spectral_norm(self.conv_1)
+            if self.learned_shortcut:
+                self.conv_s = spectral_norm(self.conv_s)
+        # define normalization layers
+        self.norm_0 = SPADE(fin, label_nc)
+        self.norm_1 = SPADE(fmiddle, label_nc)
+        if self.learned_shortcut:
+            self.norm_s = SPADE(fin, label_nc)
+
+    def forward(self, x, seg1):
+        x_s = self.shortcut(x, seg1)
+        dx = self.conv_0(self.actvn(self.norm_0(x, seg1)))
+        dx = self.conv_1(self.actvn(self.norm_1(dx, seg1)))
+        out = x_s + dx
+        return out
+
+    def shortcut(self, x, seg1):
+        if self.learned_shortcut:
+            x_s = self.conv_s(self.norm_s(x, seg1))
+        else:
+            x_s = x
+        return x_s
+
+    def actvn(self, x):
+        return F.leaky_relu(x, 2e-1)
+
+
+def filter_state_dict(state_dict, remove_name='fc'):
+    new_state_dict = {}
+    for key in state_dict:
+        if remove_name in key:
+            continue
+        new_state_dict[key] = state_dict[key]
+    return new_state_dict
+
+
+class GRN(nn.Module):
+    """ GRN (Global Response Normalization) layer
+    """
+
+    def __init__(self, dim):
+        super().__init__()
+        self.gamma = nn.Parameter(torch.zeros(1, 1, 1, dim))
+        self.beta = nn.Parameter(torch.zeros(1, 1, 1, dim))
+
+    def forward(self, x):
+        Gx = torch.norm(x, p=2, dim=(1, 2), keepdim=True)
+        Nx = Gx / (Gx.mean(dim=-1, keepdim=True) + 1e-6)
+        return self.gamma * (x * Nx) + self.beta + x
+
+
+class LayerNorm(nn.Module):
+    r""" LayerNorm that supports two data formats: channels_last (default) or channels_first.
+    The ordering of the dimensions in the inputs. channels_last corresponds to inputs with
+    shape (batch_size, height, width, channels) while channels_first corresponds to inputs
+    with shape (batch_size, channels, height, width).
+    """
+
+    def __init__(self, normalized_shape, eps=1e-6, data_format="channels_last"):
+        super().__init__()
+        self.weight = nn.Parameter(torch.ones(normalized_shape))
+        self.bias = nn.Parameter(torch.zeros(normalized_shape))
+        self.eps = eps
+        self.data_format = data_format
+        if self.data_format not in ["channels_last", "channels_first"]:
+            raise NotImplementedError
+        self.normalized_shape = (normalized_shape, )
+
+    def forward(self, x):
+        if self.data_format == "channels_last":
+            return F.layer_norm(x, self.normalized_shape, self.weight, self.bias, self.eps)
+        elif self.data_format == "channels_first":
+            u = x.mean(1, keepdim=True)
+            s = (x - u).pow(2).mean(1, keepdim=True)
+            x = (x - u) / torch.sqrt(s + self.eps)
+            x = self.weight[:, None, None] * x + self.bias[:, None, None]
+            return x
+
+
+def _no_grad_trunc_normal_(tensor, mean, std, a, b):
+    # Cut & paste from PyTorch official master until it's in a few official releases - RW
+    # Method based on https://people.sc.fsu.edu/~jburkardt/presentations/truncated_normal.pdf
+    def norm_cdf(x):
+        # Computes standard normal cumulative distribution function
+        return (1. + math.erf(x / math.sqrt(2.))) / 2.
+
+    if (mean < a - 2 * std) or (mean > b + 2 * std):
+        warnings.warn("mean is more than 2 std from [a, b] in nn.init.trunc_normal_. "
+                      "The distribution of values may be incorrect.",
+                      stacklevel=2)
+
+    with torch.no_grad():
+        # Values are generated by using a truncated uniform distribution and
+        # then using the inverse CDF for the normal distribution.
+        # Get upper and lower cdf values
+        l = norm_cdf((a - mean) / std)
+        u = norm_cdf((b - mean) / std)
+
+        # Uniformly fill tensor with values from [l, u], then translate to
+        # [2l-1, 2u-1].
+        tensor.uniform_(2 * l - 1, 2 * u - 1)
+
+        # Use inverse cdf transform for normal distribution to get truncated
+        # standard normal
+        tensor.erfinv_()
+
+        # Transform to proper mean, std
+        tensor.mul_(std * math.sqrt(2.))
+        tensor.add_(mean)
+
+        # Clamp to ensure it's in the proper range
+        tensor.clamp_(min=a, max=b)
+        return tensor
+
+
+def drop_path(x, drop_prob=0., training=False, scale_by_keep=True):
+    """ Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
+
+    This is the same as the DropConnect impl I created for EfficientNet, etc networks, however,
+    the original name is misleading as 'Drop Connect' is a different form of dropout in a separate paper...
+    See discussion: https://github.com/tensorflow/tpu/issues/494#issuecomment-532968956 ... I've opted for
+    changing the layer and argument names to 'drop path' rather than mix DropConnect as a layer name and use
+    'survival rate' as the argument.
+
+    """
+    if drop_prob == 0. or not training:
+        return x
+    keep_prob = 1 - drop_prob
+    shape = (x.shape[0],) + (1,) * (x.ndim - 1)  # work with diff dim tensors, not just 2D ConvNets
+    random_tensor = x.new_empty(shape).bernoulli_(keep_prob)
+    if keep_prob > 0.0 and scale_by_keep:
+        random_tensor.div_(keep_prob)
+    return x * random_tensor
+
+
+class DropPath(nn.Module):
+    """ Drop paths (Stochastic Depth) per sample  (when applied in main path of residual blocks).
+    """
+
+    def __init__(self, drop_prob=None, scale_by_keep=True):
+        super(DropPath, self).__init__()
+        self.drop_prob = drop_prob
+        self.scale_by_keep = scale_by_keep
+
+    def forward(self, x):
+        return drop_path(x, self.drop_prob, self.training, self.scale_by_keep)
+
+
+def trunc_normal_(tensor, mean=0., std=1., a=-2., b=2.):
+    return _no_grad_trunc_normal_(tensor, mean, std, a, b)
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/warping_network.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/warping_network.py
new file mode 100644
index 0000000000000000000000000000000000000000..9191a197055a954272ee8ed86c5e34f3f33f9ad5
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/modules/warping_network.py
@@ -0,0 +1,77 @@
+# coding: utf-8
+
+"""
+Warping field estimator(W) defined in the paper, which generates a warping field using the implicit
+keypoint representations x_s and x_d, and employs this flow field to warp the source feature volume f_s.
+"""
+
+from torch import nn
+import torch.nn.functional as F
+from .util import SameBlock2d
+from .dense_motion import DenseMotionNetwork
+
+
+class WarpingNetwork(nn.Module):
+    def __init__(
+        self,
+        num_kp,
+        block_expansion,
+        max_features,
+        num_down_blocks,
+        reshape_channel,
+        estimate_occlusion_map=False,
+        dense_motion_params=None,
+        **kwargs
+    ):
+        super(WarpingNetwork, self).__init__()
+
+        self.upscale = kwargs.get('upscale', 1)
+        self.flag_use_occlusion_map = kwargs.get('flag_use_occlusion_map', True)
+
+        if dense_motion_params is not None:
+            self.dense_motion_network = DenseMotionNetwork(
+                num_kp=num_kp,
+                feature_channel=reshape_channel,
+                estimate_occlusion_map=estimate_occlusion_map,
+                **dense_motion_params
+            )
+        else:
+            self.dense_motion_network = None
+
+        self.third = SameBlock2d(max_features, block_expansion * (2 ** num_down_blocks), kernel_size=(3, 3), padding=(1, 1), lrelu=True)
+        self.fourth = nn.Conv2d(in_channels=block_expansion * (2 ** num_down_blocks), out_channels=block_expansion * (2 ** num_down_blocks), kernel_size=1, stride=1)
+
+        self.estimate_occlusion_map = estimate_occlusion_map
+
+    def deform_input(self, inp, deformation):
+        return F.grid_sample(inp, deformation, align_corners=False)
+
+    def forward(self, feature_3d, kp_driving, kp_source):
+        if self.dense_motion_network is not None:
+            # Feature warper, Transforming feature representation according to deformation and occlusion
+            dense_motion = self.dense_motion_network(
+                feature=feature_3d, kp_driving=kp_driving, kp_source=kp_source
+            )
+            if 'occlusion_map' in dense_motion:
+                occlusion_map = dense_motion['occlusion_map']  # Bx1x64x64
+            else:
+                occlusion_map = None
+
+            deformation = dense_motion['deformation']  # Bx16x64x64x3
+            out = self.deform_input(feature_3d, deformation)  # Bx32x16x64x64
+
+            bs, c, d, h, w = out.shape  # Bx32x16x64x64
+            out = out.view(bs, c * d, h, w)  # -> Bx512x64x64
+            out = self.third(out)  # -> Bx256x64x64
+            out = self.fourth(out)  # -> Bx256x64x64
+
+            if self.flag_use_occlusion_map and (occlusion_map is not None):
+                out = out * occlusion_map
+
+        ret_dct = {
+            'occlusion_map': occlusion_map,
+            'deformation': deformation,
+            'out': out,
+        }
+
+        return ret_dct
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/__init__.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/__init__.py
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diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/camera.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/camera.py
new file mode 100644
index 0000000000000000000000000000000000000000..8bbfc90ac87e99caf09bee69982761fdde753527
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/camera.py
@@ -0,0 +1,75 @@
+# coding: utf-8
+
+"""
+functions for processing and transforming 3D facial keypoints
+"""
+
+import numpy as np
+import torch
+import torch.nn.functional as F
+
+PI = np.pi
+
+
+def headpose_pred_to_degree(pred):
+    """
+    pred: (bs, 66) or (bs, 1) or others
+    """
+    if pred.ndim > 1 and pred.shape[1] == 66:
+        # NOTE: note that the average is modified to 97.5
+        device = pred.device
+        idx_tensor = [idx for idx in range(0, 66)]
+        idx_tensor = torch.FloatTensor(idx_tensor).to(device)
+        pred = F.softmax(pred, dim=1)
+        degree = torch.sum(pred*idx_tensor, axis=1) * 3 - 97.5
+
+        return degree
+
+    return pred
+
+
+def get_rotation_matrix(pitch_, yaw_, roll_):
+    """ the input is in degree
+    """
+    # calculate the rotation matrix: vps @ rot
+
+    # transform to radian
+    pitch = pitch_ / 180 * PI
+    yaw = yaw_ / 180 * PI
+    roll = roll_ / 180 * PI
+
+    device = pitch.device
+
+    if pitch.ndim == 1:
+        pitch = pitch.unsqueeze(1)
+    if yaw.ndim == 1:
+        yaw = yaw.unsqueeze(1)
+    if roll.ndim == 1:
+        roll = roll.unsqueeze(1)
+
+    # calculate the euler matrix
+    bs = pitch.shape[0]
+    ones = torch.ones([bs, 1]).to(device)
+    zeros = torch.zeros([bs, 1]).to(device)
+    x, y, z = pitch, yaw, roll
+
+    rot_x = torch.cat([
+        ones, zeros, zeros,
+        zeros, torch.cos(x), -torch.sin(x),
+        zeros, torch.sin(x), torch.cos(x)
+    ], dim=1).reshape([bs, 3, 3])
+
+    rot_y = torch.cat([
+        torch.cos(y), zeros, torch.sin(y),
+        zeros, ones, zeros,
+        -torch.sin(y), zeros, torch.cos(y)
+    ], dim=1).reshape([bs, 3, 3])
+
+    rot_z = torch.cat([
+        torch.cos(z), -torch.sin(z), zeros,
+        torch.sin(z), torch.cos(z), zeros,
+        zeros, zeros, ones
+    ], dim=1).reshape([bs, 3, 3])
+
+    rot = rot_z @ rot_y @ rot_x
+    return rot.permute(0, 2, 1)  # transpose
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/face_analysis_diy.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/face_analysis_diy.py
new file mode 100644
index 0000000000000000000000000000000000000000..8be4c15ef12e29104f6405d6b67ffd3702e7a8d2
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/face_analysis_diy.py
@@ -0,0 +1,78 @@
+# coding: utf-8
+
+"""
+face detectoin and alignment using InsightFace
+"""
+
+import numpy as np
+from .rprint import rlog as log
+from insightface.app import FaceAnalysis
+from insightface.app.common import Face
+from .timer import Timer
+
+
+def sort_by_direction(faces, direction: str = 'large-small', face_center=None):
+    if len(faces) <= 0:
+        return faces
+    if direction == 'left-right':
+        return sorted(faces, key=lambda face: face['bbox'][0])
+    if direction == 'right-left':
+        return sorted(faces, key=lambda face: face['bbox'][0], reverse=True)
+    if direction == 'top-bottom':
+        return sorted(faces, key=lambda face: face['bbox'][1])
+    if direction == 'bottom-top':
+        return sorted(faces, key=lambda face: face['bbox'][1], reverse=True)
+    if direction == 'small-large':
+        return sorted(faces, key=lambda face: (face['bbox'][2] - face['bbox'][0]) * (face['bbox'][3] - face['bbox'][1]))
+    if direction == 'large-small':
+        return sorted(faces, key=lambda face: (face['bbox'][2] - face['bbox'][0]) * (face['bbox'][3] - face['bbox'][1]), reverse=True)
+    if direction == 'distance-from-retarget-face':
+        return sorted(faces, key=lambda face: (((face['bbox'][2]+face['bbox'][0])/2-face_center[0])**2+((face['bbox'][3]+face['bbox'][1])/2-face_center[1])**2)**0.5)
+    return faces
+
+
+class FaceAnalysisDIY(FaceAnalysis):
+    def __init__(self, name='buffalo_l', root='~/.insightface', allowed_modules=None, **kwargs):
+        super().__init__(name=name, root=root, allowed_modules=allowed_modules, **kwargs)
+
+        self.timer = Timer()
+
+    def get(self, img_bgr, **kwargs):
+        max_num = kwargs.get('max_num', 0)  # the number of the detected faces, 0 means no limit
+        flag_do_landmark_2d_106 = kwargs.get('flag_do_landmark_2d_106', True)  # whether to do 106-point detection
+        direction = kwargs.get('direction', 'large-small')  # sorting direction
+        face_center = None
+
+        bboxes, kpss = self.det_model.detect(img_bgr, max_num=max_num, metric='default')
+        if bboxes.shape[0] == 0:
+            return []
+        ret = []
+        for i in range(bboxes.shape[0]):
+            bbox = bboxes[i, 0:4]
+            det_score = bboxes[i, 4]
+            kps = None
+            if kpss is not None:
+                kps = kpss[i]
+            face = Face(bbox=bbox, kps=kps, det_score=det_score)
+            for taskname, model in self.models.items():
+                if taskname == 'detection':
+                    continue
+
+                if (not flag_do_landmark_2d_106) and taskname == 'landmark_2d_106':
+                    continue
+
+                # print(f'taskname: {taskname}')
+                model.get(img_bgr, face)
+            ret.append(face)
+
+        ret = sort_by_direction(ret, direction, face_center)
+        return ret
+
+    def warmup(self):
+        self.timer.tic()
+
+        img_bgr = np.zeros((512, 512, 3), dtype=np.uint8)
+        self.get(img_bgr)
+
+        elapse = self.timer.toc()
+        log(f'FaceAnalysisDIY warmup time: {elapse:.3f}s')
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/helper.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/helper.py
new file mode 100644
index 0000000000000000000000000000000000000000..277f63db71d5cb3add8a77b624b2e34ae18a95d0
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/helper.py
@@ -0,0 +1,124 @@
+# coding: utf-8
+
+"""
+utility functions and classes to handle feature extraction and model loading
+"""
+
+import os
+import os.path as osp
+import cv2
+import torch
+from rich.console import Console
+from collections import OrderedDict
+
+from ..modules.spade_generator import SPADEDecoder
+from ..modules.warping_network import WarpingNetwork
+from ..modules.motion_extractor import MotionExtractor
+from ..modules.appearance_feature_extractor import AppearanceFeatureExtractor
+from ..modules.stitching_retargeting_network import StitchingRetargetingNetwork
+from .rprint import rlog as log
+
+
+def suffix(filename):
+    """a.jpg -> jpg"""
+    pos = filename.rfind(".")
+    if pos == -1:
+        return ""
+    return filename[pos + 1:]
+
+
+def prefix(filename):
+    """a.jpg -> a"""
+    pos = filename.rfind(".")
+    if pos == -1:
+        return filename
+    return filename[:pos]
+
+
+def basename(filename):
+    """a/b/c.jpg -> c"""
+    return prefix(osp.basename(filename))
+
+
+def is_video(file_path):
+    if file_path.lower().endswith((".mp4", ".mov", ".avi", ".webm")) or osp.isdir(file_path):
+        return True
+    return False
+
+def is_template(file_path):
+    if file_path.endswith(".pkl"):
+        return True
+    return False
+
+
+def mkdir(d, log=False):
+    # return self-assined `d`, for one line code
+    if not osp.exists(d):
+        os.makedirs(d, exist_ok=True)
+        if log:
+            print(f"Make dir: {d}")
+    return d
+
+
+def squeeze_tensor_to_numpy(tensor):
+    out = tensor.data.squeeze(0).cpu().numpy()
+    return out
+
+
+def dct2cuda(dct: dict, device_id: int):
+    for key in dct:
+        dct[key] = torch.tensor(dct[key]).cuda(device_id)
+    return dct
+
+
+def concat_feat(kp_source: torch.Tensor, kp_driving: torch.Tensor) -> torch.Tensor:
+    """
+    kp_source: (bs, k, 3)
+    kp_driving: (bs, k, 3)
+    Return: (bs, 2k*3)
+    """
+    bs_src = kp_source.shape[0]
+    bs_dri = kp_driving.shape[0]
+    assert bs_src == bs_dri, 'batch size must be equal'
+
+    feat = torch.cat([kp_source.view(bs_src, -1), kp_driving.view(bs_dri, -1)], dim=1)
+    return feat
+
+
+# get coefficients of Eqn. 7
+def calculate_transformation(config, s_kp_info, t_0_kp_info, t_i_kp_info, R_s, R_t_0, R_t_i):
+    if config.relative:
+        new_rotation = (R_t_i @ R_t_0.permute(0, 2, 1)) @ R_s
+        new_expression = s_kp_info['exp'] + (t_i_kp_info['exp'] - t_0_kp_info['exp'])
+    else:
+        new_rotation = R_t_i
+        new_expression = t_i_kp_info['exp']
+    new_translation = s_kp_info['t'] + (t_i_kp_info['t'] - t_0_kp_info['t'])
+    new_translation[..., 2].fill_(0)  # Keep the z-axis unchanged
+    new_scale = s_kp_info['scale'] * (t_i_kp_info['scale'] / t_0_kp_info['scale'])
+    return new_rotation, new_expression, new_translation, new_scale
+
+def load_description(fp):
+    with open(fp, 'r', encoding='utf-8') as f:
+        content = f.read()
+    return content
+
+
+def resize_to_limit(img, max_dim=1280, n=2):
+    h, w = img.shape[:2]
+    if max_dim > 0 and max(h, w) > max_dim:
+        if h > w:
+            new_h = max_dim
+            new_w = int(w * (max_dim / h))
+        else:
+            new_w = max_dim
+            new_h = int(h * (max_dim / w))
+        img = cv2.resize(img, (new_w, new_h))
+    n = max(n, 1)
+    new_h = img.shape[0] - (img.shape[0] % n)
+    new_w = img.shape[1] - (img.shape[1] % n)
+    if new_h == 0 or new_w == 0:
+        return img
+    if new_h != img.shape[0] or new_w != img.shape[1]:
+        img = img[:new_h, :new_w]
+    return img
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/io.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/io.py
new file mode 100644
index 0000000000000000000000000000000000000000..f930c480387ced34c89d81179dbb9f5750767525
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/io.py
@@ -0,0 +1,97 @@
+# coding: utf-8
+
+import os
+from glob import glob
+import os.path as osp
+import imageio
+import numpy as np
+import cv2; cv2.setNumThreads(0); cv2.ocl.setUseOpenCL(False)
+
+
+def load_image_rgb(image_path: str):
+    if not osp.exists(image_path):
+        raise FileNotFoundError(f"Image not found: {image_path}")
+    img = cv2.imread(image_path, cv2.IMREAD_COLOR)
+    return cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+
+
+def load_driving_info(driving_info):
+    driving_video_ori = []
+
+    def load_images_from_directory(directory):
+        image_paths = sorted(glob(osp.join(directory, '*.png')) + glob(osp.join(directory, '*.jpg')))
+        return [load_image_rgb(im_path) for im_path in image_paths]
+
+    def load_images_from_video(file_path):
+        reader = imageio.get_reader(file_path)
+        return [image for idx, image in enumerate(reader)]
+
+    if osp.isdir(driving_info):
+        driving_video_ori = load_images_from_directory(driving_info)
+    elif osp.isfile(driving_info):
+        driving_video_ori = load_images_from_video(driving_info)
+
+    return driving_video_ori
+
+
+def contiguous(obj):
+    if not obj.flags.c_contiguous:
+        obj = obj.copy(order="C")
+    return obj
+
+
+def _resize_to_limit(img: np.ndarray, max_dim=1920, n=2):
+    """
+    ajust the size of the image so that the maximum dimension does not exceed max_dim, and the width and the height of the image are multiples of n.
+    :param img: the image to be processed.
+    :param max_dim: the maximum dimension constraint.
+    :param n: the number that needs to be multiples of.
+    :return: the adjusted image.
+    """
+    h, w = img.shape[:2]
+
+    # ajust the size of the image according to the maximum dimension
+    if max_dim > 0 and max(h, w) > max_dim:
+        if h > w:
+            new_h = max_dim
+            new_w = int(w * (max_dim / h))
+        else:
+            new_w = max_dim
+            new_h = int(h * (max_dim / w))
+        img = cv2.resize(img, (new_w, new_h))
+
+    # ensure that the image dimensions are multiples of n
+    n = max(n, 1)
+    new_h = img.shape[0] - (img.shape[0] % n)
+    new_w = img.shape[1] - (img.shape[1] % n)
+
+    if new_h == 0 or new_w == 0:
+        # when the width or height is less than n, no need to process
+        return img
+
+    if new_h != img.shape[0] or new_w != img.shape[1]:
+        img = img[:new_h, :new_w]
+
+    return img
+
+
+def load_img_online(obj, mode="bgr", **kwargs):
+    max_dim = kwargs.get("max_dim", 1920)
+    n = kwargs.get("n", 2)
+    if isinstance(obj, str):
+        if mode.lower() == "gray":
+            img = cv2.imread(obj, cv2.IMREAD_GRAYSCALE)
+        else:
+            img = cv2.imread(obj, cv2.IMREAD_COLOR)
+    else:
+        img = obj
+
+    # Resize image to satisfy constraints
+    img = _resize_to_limit(img, max_dim=max_dim, n=n)
+
+    if mode.lower() == "bgr":
+        return contiguous(img)
+    elif mode.lower() == "rgb":
+        return contiguous(img[..., ::-1])
+    else:
+        raise Exception(f"Unknown mode {mode}")
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/resources/mask_template.png b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/resources/mask_template.png
new file mode 100644
index 0000000000000000000000000000000000000000..bca6ca5977ba820d0d2c05b3793c6231cc82e715
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/resources/mask_template.png differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/rprint.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/rprint.py
new file mode 100644
index 0000000000000000000000000000000000000000..c43a42f9855bbb019725e6c2b6c6c50e6fa4d0c5
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/rprint.py
@@ -0,0 +1,16 @@
+# coding: utf-8
+
+"""
+custom print and log functions 
+"""
+
+__all__ = ['rprint', 'rlog']
+
+try:
+    from rich.console import Console
+    console = Console()
+    rprint = console.print
+    rlog = console.log
+except:
+    rprint = print
+    rlog = print
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/timer.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/timer.py
new file mode 100644
index 0000000000000000000000000000000000000000..3570fa45d3ff36376471b82a5b3c02efe46eed98
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/timer.py
@@ -0,0 +1,29 @@
+# coding: utf-8
+
+"""
+tools to measure elapsed time
+"""
+
+import time
+
+class Timer(object):
+    """A simple timer."""
+
+    def __init__(self):
+        self.total_time = 0.
+        self.calls = 0
+        self.start_time = 0.
+        self.diff = 0.
+
+    def tic(self):
+        # using time.time instead of time.clock because time time.clock
+        # does not normalize for multithreading
+        self.start_time = time.time()
+
+    def toc(self, average=True):
+        self.diff = time.time() - self.start_time
+        return self.diff
+
+    def clear(self):
+        self.start_time = 0.
+        self.diff = 0.
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/video.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/video.py
new file mode 100644
index 0000000000000000000000000000000000000000..3efbbbb7b1ad25a7c4e9216f6fd7ce45f1b47d60
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/LivePortrait/utils/video.py
@@ -0,0 +1,142 @@
+# coding: utf-8
+
+"""
+functions for processing video
+"""
+
+import os.path as osp
+import numpy as np
+import subprocess
+import imageio
+import cv2
+
+# from rich.progress import track
+from .helper import prefix
+from .rprint import rprint as print
+
+
+def exec_cmd(cmd):
+    subprocess.run(cmd, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
+
+
+def images2video(images, wfp, **kwargs):
+    fps = kwargs.get('fps', 30)
+    video_format = kwargs.get('format', 'mp4')  # default is mp4 format
+    codec = kwargs.get('codec', 'libx264')  # default is libx264 encoding
+    quality = kwargs.get('quality')  # video quality
+    pixelformat = kwargs.get('pixelformat', 'yuv420p')  # video pixel format
+    image_mode = kwargs.get('image_mode', 'rgb')
+    macro_block_size = kwargs.get('macro_block_size', 2)
+    ffmpeg_params = ['-crf', str(kwargs.get('crf', 18))]
+
+    writer = imageio.get_writer(
+        wfp, fps=fps, format=video_format,
+        codec=codec, quality=quality, ffmpeg_params=ffmpeg_params, pixelformat=pixelformat, macro_block_size=macro_block_size
+    )
+
+    n = len(images)
+    print('writing',n)
+    for i in range(n):
+        if image_mode.lower() == 'bgr':
+            writer.append_data(images[i][..., ::-1])
+        else:
+            writer.append_data(images[i])
+
+    writer.close()
+
+    # print(f':smiley: Dump to {wfp}\n', style="bold green")
+    print(f'Dump to {wfp}\n')
+
+
+def video2gif(video_fp, fps=30, size=256):
+    if osp.exists(video_fp):
+        d = osp.split(video_fp)[0]
+        fn = prefix(osp.basename(video_fp))
+        palette_wfp = osp.join(d, 'palette.png')
+        gif_wfp = osp.join(d, f'{fn}.gif')
+        # generate the palette
+        cmd = f'ffmpeg -i {video_fp} -vf "fps={fps},scale={size}:-1:flags=lanczos,palettegen" {palette_wfp} -y'
+        exec_cmd(cmd)
+        # use the palette to generate the gif
+        cmd = f'ffmpeg -i {video_fp} -i {palette_wfp} -filter_complex "fps={fps},scale={size}:-1:flags=lanczos[x];[x][1:v]paletteuse" {gif_wfp} -y'
+        exec_cmd(cmd)
+    else:
+        print(f'video_fp: {video_fp} not exists!')
+
+
+def merge_audio_video(video_fp, audio_fp, wfp):
+    if osp.exists(video_fp) and osp.exists(audio_fp):
+        cmd = f'ffmpeg -i {video_fp} -i {audio_fp} -c:v copy -c:a aac {wfp} -y'
+        exec_cmd(cmd)
+        print(f'merge {video_fp} and {audio_fp} to {wfp}')
+    else:
+        print(f'video_fp: {video_fp} or audio_fp: {audio_fp} not exists!')
+
+
+def blend(img: np.ndarray, mask: np.ndarray, background_color=(255, 255, 255)):
+    mask_float = mask.astype(np.float32) / 255.
+    background_color = np.array(background_color).reshape([1, 1, 3])
+    bg = np.ones_like(img) * background_color
+    img = np.clip(mask_float * img + (1 - mask_float) * bg, 0, 255).astype(np.uint8)
+    return img
+
+
+def concat_frames(I_p_lst, driving_rgb_lst, img_rgb):
+    # TODO: add more concat style, e.g., left-down corner driving
+    out_lst = []
+    print('Concatenating result...',len(I_p_lst))
+    for idx, _ in enumerate(I_p_lst):
+    # track(enumerate(I_p_lst), total=len(I_p_lst), description='Concatenating result...'):
+        source_image_drived = I_p_lst[idx]
+        image_drive = driving_rgb_lst[idx]
+
+        # resize images to match source_image_drived shape
+        h, w, _ = source_image_drived.shape
+        image_drive_resized = cv2.resize(image_drive, (w, h))
+        img_rgb_resized = cv2.resize(img_rgb, (w, h))
+
+        # concatenate images horizontally
+        frame = np.concatenate((image_drive_resized, img_rgb_resized, source_image_drived), axis=1)
+        out_lst.append(frame)
+    return out_lst
+
+
+class VideoWriter:
+    def __init__(self, **kwargs):
+        self.fps = kwargs.get('fps', 30)
+        self.wfp = kwargs.get('wfp', 'video.mp4')
+        self.video_format = kwargs.get('format', 'mp4')
+        self.codec = kwargs.get('codec', 'libx264')
+        self.quality = kwargs.get('quality')
+        self.pixelformat = kwargs.get('pixelformat', 'yuv420p')
+        self.image_mode = kwargs.get('image_mode', 'rgb')
+        self.ffmpeg_params = kwargs.get('ffmpeg_params')
+
+        self.writer = imageio.get_writer(
+            self.wfp, fps=self.fps, format=self.video_format,
+            codec=self.codec, quality=self.quality,
+            ffmpeg_params=self.ffmpeg_params, pixelformat=self.pixelformat
+        )
+
+    def write(self, image):
+        if self.image_mode.lower() == 'bgr':
+            self.writer.append_data(image[..., ::-1])
+        else:
+            self.writer.append_data(image)
+
+    def close(self):
+        if self.writer is not None:
+            self.writer.close()
+
+
+def change_video_fps(input_file, output_file, fps=20, codec='libx264', crf=5):
+    cmd = f"ffmpeg -i {input_file} -c:v {codec} -crf {crf} -r {fps} {output_file} -y"
+    exec_cmd(cmd)
+
+
+def get_fps(filepath):
+    import ffmpeg
+    probe = ffmpeg.probe(filepath)
+    video_stream = next((stream for stream in probe['streams'] if stream['codec_type'] == 'video'), None)
+    fps = eval(video_stream['avg_frame_rate'])
+    return fps
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/README.md b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..83ef751d190d7514363aaaf8e1c2b5bedf347c62
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/README.md
@@ -0,0 +1,64 @@
+# ComfyUI-AdvancedLivePortrait
+
+## Update
+
+8/21/2024
+
+You can create a video without a video.
+
+Track the face of the source video.
+
+The workflow has been updated.
+
+## Introduction
+
+AdvancedLivePortrait is faster and has real-time preview
+
+https://github.com/user-attachments/assets/90b78639-6477-48af-ba49-7945488df581
+
+Edit facial expressions in photos.
+
+Insert facial expressions into videos.
+
+Create animations using multiple facial expressions.
+
+Extract facial expressions from sample photos.
+
+## Installation
+
+This project has been registered with ComfyUI-Manager. Now you can install it automatically using the manager.
+
+## Usage
+
+The workflows and sample datas placed in '\custom_nodes\ComfyUI-AdvancedLivePortrait\sample\'
+
+-----
+
+You can add expressions to the video. See 'workflow2_advanced.json'.
+
+Describes the 'command' in 'workflow2_advanced.json'
+
+![readme](https://github.com/user-attachments/assets/339568b2-ad52-4aaf-a6ab-fcd877449c56)
+
+
+[Motion index] = [Changing frame length] : [Length of frames waiting for next motion]
+
+Motion index 0 is the original source image.
+
+They are numbered in the order they lead to the motion_link.
+
+Linking the driving video to 'src_images' will add facial expressions to the driving video.
+
+-----
+
+You can save and load expressions with the 'Load Exp Data' 'Save Exp Data' nodes.
+
+\ComfyUI\output\exp_data\  Path to the folder being saved
+
+-----
+
+## Thanks
+
+Original author's link : https://liveportrait.github.io/
+
+This project uses a model converted by kijai. link : https://github.com/kijai/ComfyUI-LivePortraitKJ
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/__init__.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..4322a4eeff1a71f5b99900a638f96d843d8a475e
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/__init__.py
@@ -0,0 +1,4 @@
+from .nodes import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
+__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
+
+
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/__pycache__/__init__.cpython-310.pyc b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/__pycache__/__init__.cpython-310.pyc
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diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/install.bat b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/install.bat
new file mode 100644
index 0000000000000000000000000000000000000000..9b5cc7b9587dd802abe44e25a4b261f7a4a27022
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/install.bat
@@ -0,0 +1,20 @@
+@echo off
+
+set "requirements_txt=%~dp0\requirements.txt"
+set "python_exec=..\..\..\python_embeded\python.exe"
+
+echo Installing ComfyUI-AdvancedLivePortrait..
+
+if exist "%python_exec%" (
+    echo Installing with ComfyUI Portable
+    for /f "delims=" %%i in (%requirements_txt%) do (
+        %python_exec% -s -m pip install "%%i"
+    )
+) else (
+    echo Installing with system Python
+    for /f "delims=" %%i in (%requirements_txt%) do (
+        pip install "%%i"
+    )
+)
+
+pause
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/nodes.py b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..974df171009c30e1015d82bb1d6eda08306a573a
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/nodes.py
@@ -0,0 +1,980 @@
+import os
+import sys
+import numpy as np
+import torch
+import cv2
+from PIL import Image
+import folder_paths
+import comfy.utils
+import time
+import copy
+import dill
+import yaml
+from ultralytics import YOLO
+
+current_file_path = os.path.abspath(__file__)
+current_directory = os.path.dirname(current_file_path)
+
+from .LivePortrait.live_portrait_wrapper import LivePortraitWrapper
+from .LivePortrait.utils.camera import get_rotation_matrix
+from .LivePortrait.config.inference_config import InferenceConfig
+
+from .LivePortrait.modules.spade_generator import SPADEDecoder
+from .LivePortrait.modules.warping_network import WarpingNetwork
+from .LivePortrait.modules.motion_extractor import MotionExtractor
+from .LivePortrait.modules.appearance_feature_extractor import AppearanceFeatureExtractor
+from .LivePortrait.modules.stitching_retargeting_network import StitchingRetargetingNetwork
+from collections import OrderedDict
+
+cur_device = None
+def get_device():
+    global cur_device
+    if cur_device == None:
+        if torch.cuda.is_available():
+            cur_device = torch.device('cuda')
+            print("Uses CUDA device.")
+        elif torch.backends.mps.is_available():
+            cur_device = torch.device('mps')
+            print("Uses MPS device.")
+        else:
+            cur_device = torch.device('cpu')
+            print("Uses CPU device.")
+    return cur_device
+
+def tensor2pil(image):
+    return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
+def pil2tensor(image):
+    return torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0)
+def rgb_crop(rgb, region):
+    return rgb[region[1]:region[3], region[0]:region[2]]
+
+def rgb_crop_batch(rgbs, region):
+    return rgbs[:, region[1]:region[3], region[0]:region[2]]
+def get_rgb_size(rgb):
+    return rgb.shape[1], rgb.shape[0]
+def create_transform_matrix(x, y, s_x, s_y):
+    return np.float32([[s_x, 0, x], [0, s_y, y]])
+
+def get_model_dir(m):
+    try:
+        return folder_paths.get_folder_paths(m)[0]
+    except:
+        return os.path.join(folder_paths.models_dir, m)
+
+def calc_crop_limit(center, img_size, crop_size):
+    pos = center - crop_size / 2
+    if pos < 0:
+        crop_size += pos * 2
+        pos = 0
+
+    pos2 = pos + crop_size
+
+    if img_size < pos2:
+        crop_size -= (pos2 - img_size) * 2
+        pos2 = img_size
+        pos = pos2 - crop_size
+
+    return pos, pos2, crop_size
+
+def retargeting(delta_out, driving_exp, factor, idxes):
+    for idx in idxes:
+        #delta_out[0, idx] -= src_exp[0, idx] * factor
+        delta_out[0, idx] += driving_exp[0, idx] * factor
+
+class PreparedSrcImg:
+    def __init__(self, src_rgb, crop_trans_m, x_s_info, f_s_user, x_s_user, mask_ori):
+        self.src_rgb = src_rgb
+        self.crop_trans_m = crop_trans_m
+        self.x_s_info = x_s_info
+        self.f_s_user = f_s_user
+        self.x_s_user = x_s_user
+        self.mask_ori = mask_ori
+
+import requests
+from tqdm import tqdm
+
+class LP_Engine:
+    pipeline = None
+    detect_model = None
+    mask_img = None
+    temp_img_idx = 0
+
+    def get_temp_img_name(self):
+        self.temp_img_idx += 1
+        return "expression_edit_preview" + str(self.temp_img_idx) + ".png"
+
+    def download_model(_, file_path, model_url):
+        print('AdvancedLivePortrait: Downloading model...')
+        response = requests.get(model_url, stream=True)
+        try:
+            if response.status_code == 200:
+                total_size = int(response.headers.get('content-length', 0))
+                block_size = 1024  # 1 Kibibyte
+
+                # tqdm will display a progress bar
+                with open(file_path, 'wb') as file, tqdm(
+                        desc='Downloading',
+                        total=total_size,
+                        unit='iB',
+                        unit_scale=True,
+                        unit_divisor=1024,
+                ) as bar:
+                    for data in response.iter_content(block_size):
+                        bar.update(len(data))
+                        file.write(data)
+
+        except requests.exceptions.RequestException as err:
+            print('AdvancedLivePortrait: Model download failed: {err}')
+            print(f'AdvancedLivePortrait: Download it manually from: {model_url}')
+            print(f'AdvancedLivePortrait: And put it in {file_path}')
+        except Exception as e:
+            print(f'AdvancedLivePortrait: An unexpected error occurred: {e}')
+
+    def remove_ddp_dumplicate_key(_, state_dict):
+        state_dict_new = OrderedDict()
+        for key in state_dict.keys():
+            state_dict_new[key.replace('module.', '')] = state_dict[key]
+        return state_dict_new
+
+    def filter_for_model(_, checkpoint, prefix):
+        filtered_checkpoint = {key.replace(prefix + "_module.", ""): value for key, value in checkpoint.items() if
+                               key.startswith(prefix)}
+        return filtered_checkpoint
+
+    def load_model(self, model_config, model_type):
+
+        device = get_device()
+
+        if model_type == 'stitching_retargeting_module':
+            ckpt_path = os.path.join(get_model_dir("liveportrait"), "retargeting_models", model_type + ".pth")
+        else:
+            ckpt_path = os.path.join(get_model_dir("liveportrait"), "base_models", model_type + ".pth")
+
+        is_safetensors = None
+        if os.path.isfile(ckpt_path) == False:
+            is_safetensors = True
+            ckpt_path = os.path.join(get_model_dir("liveportrait"), model_type + ".safetensors")
+            if os.path.isfile(ckpt_path) == False:
+                self.download_model(ckpt_path,
+                "https://huggingface.co/Kijai/LivePortrait_safetensors/resolve/main/" + model_type + ".safetensors")
+        model_params = model_config['model_params'][f'{model_type}_params']
+        if model_type == 'appearance_feature_extractor':
+            model = AppearanceFeatureExtractor(**model_params).to(device)
+        elif model_type == 'motion_extractor':
+            model = MotionExtractor(**model_params).to(device)
+        elif model_type == 'warping_module':
+            model = WarpingNetwork(**model_params).to(device)
+        elif model_type == 'spade_generator':
+            model = SPADEDecoder(**model_params).to(device)
+        elif model_type == 'stitching_retargeting_module':
+            # Special handling for stitching and retargeting module
+            config = model_config['model_params']['stitching_retargeting_module_params']
+            checkpoint = comfy.utils.load_torch_file(ckpt_path)
+
+            stitcher = StitchingRetargetingNetwork(**config.get('stitching'))
+            if is_safetensors:
+                stitcher.load_state_dict(self.filter_for_model(checkpoint, 'retarget_shoulder'))
+            else:
+                stitcher.load_state_dict(self.remove_ddp_dumplicate_key(checkpoint['retarget_shoulder']))
+            stitcher = stitcher.to(device)
+            stitcher.eval()
+
+            return {
+                'stitching': stitcher,
+            }
+        else:
+            raise ValueError(f"Unknown model type: {model_type}")
+
+
+        model.load_state_dict(comfy.utils.load_torch_file(ckpt_path))
+        model.eval()
+        return model
+
+    def load_models(self):
+        model_path = get_model_dir("liveportrait")
+        if not os.path.exists(model_path):
+            os.mkdir(model_path)
+
+        model_config_path = os.path.join(current_directory, 'LivePortrait', 'config', 'models.yaml')
+        model_config = yaml.safe_load(open(model_config_path, 'r'))
+
+        appearance_feature_extractor = self.load_model(model_config, 'appearance_feature_extractor')
+        motion_extractor = self.load_model(model_config, 'motion_extractor')
+        warping_module = self.load_model(model_config, 'warping_module')
+        spade_generator = self.load_model(model_config, 'spade_generator')
+        stitching_retargeting_module = self.load_model(model_config, 'stitching_retargeting_module')
+
+        self.pipeline = LivePortraitWrapper(InferenceConfig(), appearance_feature_extractor, motion_extractor, warping_module, spade_generator, stitching_retargeting_module)
+
+    def get_detect_model(self):
+        if self.detect_model == None:
+            model_dir = get_model_dir("ultralytics")
+            if not os.path.exists(model_dir): os.mkdir(model_dir)
+            model_path = os.path.join(model_dir, "face_yolov8n.pt")
+            if not os.path.exists(model_path):
+                self.download_model(model_path, "https://huggingface.co/Bingsu/adetailer/resolve/main/face_yolov8n.pt")
+            self.detect_model = YOLO(model_path)
+
+        return self.detect_model
+
+    def get_face_bboxes(self, image_rgb):
+        detect_model = self.get_detect_model()
+        pred = detect_model(image_rgb, conf=0.7, device="")
+        return pred[0].boxes.xyxy.cpu().numpy()
+
+    def detect_face(self, image_rgb, crop_factor, sort = True):
+        bboxes = self.get_face_bboxes(image_rgb)
+        w, h = get_rgb_size(image_rgb)
+
+        print(f"w, h:{w, h}")
+
+        cx = w / 2
+        min_diff = w
+        best_box = None
+        for x1, y1, x2, y2 in bboxes:
+            bbox_w = x2 - x1
+            if bbox_w < 30: continue
+            diff = abs(cx - (x1 + bbox_w / 2))
+            if diff < min_diff:
+                best_box = [x1, y1, x2, y2]
+                print(f"diff, min_diff, best_box:{diff, min_diff, best_box}")
+                min_diff = diff
+
+        if best_box == None:
+            print("Failed to detect face!!")
+            return [0, 0, w, h]
+
+        x1, y1, x2, y2 = best_box
+
+        #for x1, y1, x2, y2 in bboxes:
+        bbox_w = x2 - x1
+        bbox_h = y2 - y1
+
+        crop_w = bbox_w * crop_factor
+        crop_h = bbox_h * crop_factor
+
+        crop_w = max(crop_h, crop_w)
+        crop_h = crop_w
+
+        kernel_x = int(x1 + bbox_w / 2)
+        kernel_y = int(y1 + bbox_h / 2)
+
+        new_x1 = int(kernel_x - crop_w / 2)
+        new_x2 = int(kernel_x + crop_w / 2)
+        new_y1 = int(kernel_y - crop_h / 2)
+        new_y2 = int(kernel_y + crop_h / 2)
+
+        if not sort:
+            return [int(new_x1), int(new_y1), int(new_x2), int(new_y2)]
+
+        if new_x1 < 0:
+            new_x2 -= new_x1
+            new_x1 = 0
+        elif w < new_x2:
+            new_x1 -= (new_x2 - w)
+            new_x2 = w
+            if new_x1 < 0:
+                new_x2 -= new_x1
+                new_x1 = 0
+
+        if new_y1 < 0:
+            new_y2 -= new_y1
+            new_y1 = 0
+        elif h < new_y2:
+            new_y1 -= (new_y2 - h)
+            new_y2 = h
+            if new_y1 < 0:
+                new_y2 -= new_y1
+                new_y1 = 0
+
+        if w < new_x2 and h < new_y2:
+            over_x = new_x2 - w
+            over_y = new_y2 - h
+            over_min = min(over_x, over_y)
+            new_x2 -= over_min
+            new_y2 -= over_min
+
+        return [int(new_x1), int(new_y1), int(new_x2), int(new_y2)]
+
+
+    def calc_face_region(self, square, dsize):
+        region = copy.deepcopy(square)
+        is_changed = False
+        if dsize[0] < region[2]:
+            region[2] = dsize[0]
+            is_changed = True
+        if dsize[1] < region[3]:
+            region[3] = dsize[1]
+            is_changed = True
+
+        return region, is_changed
+
+    def expand_img(self, rgb_img, square):
+        #new_img = rgb_crop(rgb_img, face_region)
+        crop_trans_m = create_transform_matrix(max(-square[0], 0), max(-square[1], 0), 1, 1)
+        new_img = cv2.warpAffine(rgb_img, crop_trans_m, (square[2] - square[0], square[3] - square[1]),
+                                        cv2.INTER_LINEAR)
+        return new_img
+
+    def get_pipeline(self):
+        if self.pipeline == None:
+            print("Load pipeline...")
+            self.load_models()
+
+        return self.pipeline
+
+    def prepare_src_image(self, img):
+        h, w = img.shape[:2]
+        input_shape = [256,256]
+        if h != input_shape[0] or w != input_shape[1]:
+            if 256 < h: interpolation = cv2.INTER_AREA
+            else: interpolation = cv2.INTER_LINEAR
+            x = cv2.resize(img, (input_shape[0], input_shape[1]), interpolation = interpolation)
+        else:
+            x = img.copy()
+
+        if x.ndim == 3:
+            x = x[np.newaxis].astype(np.float32) / 255.  # HxWx3 -> 1xHxWx3, normalized to 0~1
+        elif x.ndim == 4:
+            x = x.astype(np.float32) / 255.  # BxHxWx3, normalized to 0~1
+        else:
+            raise ValueError(f'img ndim should be 3 or 4: {x.ndim}')
+        x = np.clip(x, 0, 1)  # clip to 0~1
+        x = torch.from_numpy(x).permute(0, 3, 1, 2)  # 1xHxWx3 -> 1x3xHxW
+        x = x.to(get_device())
+        return x
+
+    def GetMaskImg(self):
+        if self.mask_img is None:
+            path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "./LivePortrait/utils/resources/mask_template.png")
+            self.mask_img = cv2.imread(path, cv2.IMREAD_COLOR)
+        return self.mask_img
+
+    def crop_face(self, img_rgb, crop_factor):
+        crop_region = self.detect_face(img_rgb, crop_factor)
+        face_region, is_changed = self.calc_face_region(crop_region, get_rgb_size(img_rgb))
+        face_img = rgb_crop(img_rgb, face_region)
+        if is_changed: face_img = self.expand_img(face_img, crop_region)
+        return face_img
+
+    def prepare_source(self, source_image, crop_factor, is_video = False, tracking = False):
+        print("Prepare source...")
+        engine = self.get_pipeline()
+        source_image_np = (source_image * 255).byte().numpy()
+        img_rgb = source_image_np[0]
+
+        psi_list = []
+        for img_rgb in source_image_np:
+            if tracking or len(psi_list) == 0:
+                crop_region = self.detect_face(img_rgb, crop_factor)
+                face_region, is_changed = self.calc_face_region(crop_region, get_rgb_size(img_rgb))
+
+                s_x = (face_region[2] - face_region[0]) / 512.
+                s_y = (face_region[3] - face_region[1]) / 512.
+                crop_trans_m = create_transform_matrix(crop_region[0], crop_region[1], s_x, s_y)
+                mask_ori = cv2.warpAffine(self.GetMaskImg(), crop_trans_m, get_rgb_size(img_rgb), cv2.INTER_LINEAR)
+                mask_ori = mask_ori.astype(np.float32) / 255.
+
+                if is_changed:
+                    s = (crop_region[2] - crop_region[0]) / 512.
+                    crop_trans_m = create_transform_matrix(crop_region[0], crop_region[1], s, s)
+
+            face_img = rgb_crop(img_rgb, face_region)
+            if is_changed: face_img = self.expand_img(face_img, crop_region)
+            i_s = self.prepare_src_image(face_img)
+            x_s_info = engine.get_kp_info(i_s)
+            f_s_user = engine.extract_feature_3d(i_s)
+            x_s_user = engine.transform_keypoint(x_s_info)
+            psi = PreparedSrcImg(img_rgb, crop_trans_m, x_s_info, f_s_user, x_s_user, mask_ori)
+            if is_video == False:
+                return psi
+            psi_list.append(psi)
+
+        return psi_list
+
+    def prepare_driving_video(self, face_images):
+        print("Prepare driving video...")
+        pipeline = self.get_pipeline()
+        f_img_np = (face_images * 255).byte().numpy()
+
+        out_list = []
+        for f_img in f_img_np:
+            i_d = self.prepare_src_image(f_img)
+            d_info = pipeline.get_kp_info(i_d)
+            out_list.append(d_info)
+
+        return out_list
+
+    def calc_fe(_, x_d_new, eyes, eyebrow, wink, pupil_x, pupil_y, mouth, eee, woo, smile,
+                rotate_pitch, rotate_yaw, rotate_roll):
+
+        x_d_new[0, 20, 1] += smile * -0.01
+        x_d_new[0, 14, 1] += smile * -0.02
+        x_d_new[0, 17, 1] += smile * 0.0065
+        x_d_new[0, 17, 2] += smile * 0.003
+        x_d_new[0, 13, 1] += smile * -0.00275
+        x_d_new[0, 16, 1] += smile * -0.00275
+        x_d_new[0, 3, 1] += smile * -0.0035
+        x_d_new[0, 7, 1] += smile * -0.0035
+
+        x_d_new[0, 19, 1] += mouth * 0.001
+        x_d_new[0, 19, 2] += mouth * 0.0001
+        x_d_new[0, 17, 1] += mouth * -0.0001
+        rotate_pitch -= mouth * 0.05
+
+        x_d_new[0, 20, 2] += eee * -0.001
+        x_d_new[0, 20, 1] += eee * -0.001
+        #x_d_new[0, 19, 1] += eee * 0.0006
+        x_d_new[0, 14, 1] += eee * -0.001
+
+        x_d_new[0, 14, 1] += woo * 0.001
+        x_d_new[0, 3, 1] += woo * -0.0005
+        x_d_new[0, 7, 1] += woo * -0.0005
+        x_d_new[0, 17, 2] += woo * -0.0005
+
+        x_d_new[0, 11, 1] += wink * 0.001
+        x_d_new[0, 13, 1] += wink * -0.0003
+        x_d_new[0, 17, 0] += wink * 0.0003
+        x_d_new[0, 17, 1] += wink * 0.0003
+        x_d_new[0, 3, 1] += wink * -0.0003
+        rotate_roll -= wink * 0.1
+        rotate_yaw -= wink * 0.1
+
+        if 0 < pupil_x:
+            x_d_new[0, 11, 0] += pupil_x * 0.0007
+            x_d_new[0, 15, 0] += pupil_x * 0.001
+        else:
+            x_d_new[0, 11, 0] += pupil_x * 0.001
+            x_d_new[0, 15, 0] += pupil_x * 0.0007
+
+        x_d_new[0, 11, 1] += pupil_y * -0.001
+        x_d_new[0, 15, 1] += pupil_y * -0.001
+        eyes -= pupil_y / 2.
+
+        x_d_new[0, 11, 1] += eyes * -0.001
+        x_d_new[0, 13, 1] += eyes * 0.0003
+        x_d_new[0, 15, 1] += eyes * -0.001
+        x_d_new[0, 16, 1] += eyes * 0.0003
+        x_d_new[0, 1, 1] += eyes * -0.00025
+        x_d_new[0, 2, 1] += eyes * 0.00025
+
+
+        if 0 < eyebrow:
+            x_d_new[0, 1, 1] += eyebrow * 0.001
+            x_d_new[0, 2, 1] += eyebrow * -0.001
+        else:
+            x_d_new[0, 1, 0] += eyebrow * -0.001
+            x_d_new[0, 2, 0] += eyebrow * 0.001
+            x_d_new[0, 1, 1] += eyebrow * 0.0003
+            x_d_new[0, 2, 1] += eyebrow * -0.0003
+
+
+        return torch.Tensor([rotate_pitch, rotate_yaw, rotate_roll])
+g_engine = LP_Engine()
+
+class ExpressionSet:
+    def __init__(self, erst = None, es = None):
+        if es != None:
+            self.e = copy.deepcopy(es.e)  # [:, :, :]
+            self.r = copy.deepcopy(es.r)  # [:]
+            self.s = copy.deepcopy(es.s)
+            self.t = copy.deepcopy(es.t)
+        elif erst != None:
+            self.e = erst[0]
+            self.r = erst[1]
+            self.s = erst[2]
+            self.t = erst[3]
+        else:
+            self.e = torch.from_numpy(np.zeros((1, 21, 3))).float().to(get_device())
+            self.r = torch.Tensor([0, 0, 0])
+            self.s = 0
+            self.t = 0
+    def div(self, value):
+        self.e /= value
+        self.r /= value
+        self.s /= value
+        self.t /= value
+    def add(self, other):
+        self.e += other.e
+        self.r += other.r
+        self.s += other.s
+        self.t += other.t
+    def sub(self, other):
+        self.e -= other.e
+        self.r -= other.r
+        self.s -= other.s
+        self.t -= other.t
+    def mul(self, value):
+        self.e *= value
+        self.r *= value
+        self.s *= value
+        self.t *= value
+
+    #def apply_ratio(self, ratio):        self.exp *= ratio
+
+def logging_time(original_fn):
+    def wrapper_fn(*args, **kwargs):
+        start_time = time.time()
+        result = original_fn(*args, **kwargs)
+        end_time = time.time()
+        print("WorkingTime[{}]: {} sec".format(original_fn.__name__, end_time - start_time))
+        return result
+
+    return wrapper_fn
+
+
+#exp_data_dir = os.path.join(current_directory, "exp_data")
+exp_data_dir = os.path.join(folder_paths.output_directory, "exp_data")
+if os.path.isdir(exp_data_dir) == False:
+    os.mkdir(exp_data_dir)
+class SaveExpData:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                "file_name": ("STRING", {"multiline": False, "default": ""}),
+            },
+            "optional": {"save_exp": ("EXP_DATA",), }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("file_name",)
+    FUNCTION = "run"
+    CATEGORY = "AdvancedLivePortrait"
+    OUTPUT_NODE = True
+
+    def run(self, file_name, save_exp:ExpressionSet=None):
+        if save_exp == None or file_name == "":
+            return file_name
+
+        with open(os.path.join(exp_data_dir, file_name + ".exp"), "wb") as f:
+            dill.dump(save_exp, f)
+
+        return file_name
+
+class LoadExpData:
+    @classmethod
+    def INPUT_TYPES(s):
+        file_list = [os.path.splitext(file)[0] for file in os.listdir(exp_data_dir) if file.endswith('.exp')]
+        return {"required": {
+            "file_name": (sorted(file_list, key=str.lower),),
+            "ratio": ("FLOAT", {"default": 1, "min": 0, "max": 1, "step": 0.01}),
+        },
+        }
+
+    RETURN_TYPES = ("EXP_DATA",)
+    RETURN_NAMES = ("exp",)
+    FUNCTION = "run"
+    CATEGORY = "AdvancedLivePortrait"
+
+    def run(self, file_name, ratio):
+        # es = ExpressionSet()
+        with open(os.path.join(exp_data_dir, file_name + ".exp"), 'rb') as f:
+            es = dill.load(f)
+        es.mul(ratio)
+        return (es,)
+
+class ExpData:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":{
+                #"code": ("STRING", {"multiline": False, "default": ""}),
+                "code1": ("INT", {"default": 0}),
+                "value1": ("FLOAT", {"default": 0, "min": -100, "max": 100, "step": 0.1}),
+                "code2": ("INT", {"default": 0}),
+                "value2": ("FLOAT", {"default": 0, "min": -100, "max": 100, "step": 0.1}),
+                "code3": ("INT", {"default": 0}),
+                "value3": ("FLOAT", {"default": 0, "min": -100, "max": 100, "step": 0.1}),
+                "code4": ("INT", {"default": 0}),
+                "value4": ("FLOAT", {"default": 0, "min": -100, "max": 100, "step": 0.1}),
+                "code5": ("INT", {"default": 0}),
+                "value5": ("FLOAT", {"default": 0, "min": -100, "max": 100, "step": 0.1}),
+            },
+            "optional":{"add_exp": ("EXP_DATA",),}
+        }
+
+    RETURN_TYPES = ("EXP_DATA",)
+    RETURN_NAMES = ("exp",)
+    FUNCTION = "run"
+    CATEGORY = "AdvancedLivePortrait"
+
+    def run(self, code1, value1, code2, value2, code3, value3, code4, value4, code5, value5, add_exp=None):
+        if add_exp == None:
+            es = ExpressionSet()
+        else:
+            es = ExpressionSet(es = add_exp)
+
+        codes = [code1, code2, code3, code4, code5]
+        values = [value1, value2, value3, value4, value5]
+        for i in range(5):
+            idx = int(codes[i] / 10)
+            r = codes[i] % 10
+            es.e[0, idx, r] += values[i] * 0.001
+
+        return (es,)
+
+class PrintExpData:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "cut_noise": ("FLOAT", {"default": 0, "min": 0, "max": 100, "step": 0.1}),
+        },
+            "optional": {"exp": ("EXP_DATA",), }
+        }
+
+    RETURN_TYPES = ("EXP_DATA",)
+    RETURN_NAMES = ("exp",)
+    FUNCTION = "run"
+    CATEGORY = "AdvancedLivePortrait"
+    OUTPUT_NODE = True
+
+    def run(self, cut_noise, exp = None):
+        if exp == None: return (exp,)
+
+        cuted_list = []
+        e = exp.exp * 1000
+        for idx in range(21):
+            for r in range(3):
+                a = abs(e[0, idx, r])
+                if(cut_noise < a): cuted_list.append((a, e[0, idx, r], idx*10+r))
+
+        sorted_list = sorted(cuted_list, reverse=True, key=lambda item: item[0])
+        print(f"sorted_list: {[[item[2], round(float(item[1]),1)] for item in sorted_list]}")
+        return (exp,)
+
+class Command:
+    def __init__(self, es, change, keep):
+        self.es:ExpressionSet = es
+        self.change = change
+        self.keep = keep
+
+crop_factor_default = 1.7
+crop_factor_min = 1.5
+crop_factor_max = 2.5
+
+class AdvancedLivePortrait:
+    def __init__(self):
+        self.src_images = None
+        self.driving_images = None
+        self.pbar = comfy.utils.ProgressBar(1)
+        self.crop_factor = None
+
+    @classmethod
+    def INPUT_TYPES(s):
+
+        return {
+            "required": {
+                "retargeting_eyes": ("FLOAT", {"default": 0, "min": 0, "max": 1, "step": 0.01}),
+                "retargeting_mouth": ("FLOAT", {"default": 0, "min": 0, "max": 1, "step": 0.01}),
+                "crop_factor": ("FLOAT", {"default": crop_factor_default,
+                                          "min": crop_factor_min, "max": crop_factor_max, "step": 0.1}),
+                "turn_on": ("BOOLEAN", {"default": True}),
+                "tracking_src_vid": ("BOOLEAN", {"default": False}),
+                "animate_without_vid": ("BOOLEAN", {"default": False}),
+                "command": ("STRING", {"multiline": True, "default": ""}),
+            },
+            "optional": {
+                "src_images": ("IMAGE",),
+                "motion_link": ("EDITOR_LINK",),
+                "driving_images": ("IMAGE",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("images",)
+    FUNCTION = "run"
+    OUTPUT_NODE = True
+    CATEGORY = "AdvancedLivePortrait"
+
+    # INPUT_IS_LIST = False
+    # OUTPUT_IS_LIST = (False,)
+
+    def parsing_command(self, command, motoin_link):
+        command.replace(' ', '')
+        # if command == '': return
+        lines = command.split('\n')
+
+        cmd_list = []
+
+        total_length = 0
+
+        i = 0
+        #old_es = None
+        for line in lines:
+            i += 1
+            if line == '': continue
+            try:
+                cmds = line.split('=')
+                idx = int(cmds[0])
+                if idx == 0: es = ExpressionSet()
+                else: es = ExpressionSet(es = motoin_link[idx])
+                cmds = cmds[1].split(':')
+                change = int(cmds[0])
+                keep = int(cmds[1])
+            except:
+                assert False, f"(AdvancedLivePortrait) Command Err Line {i}: {line}"
+
+
+                return None, None
+
+            total_length += change + keep
+            es.div(change)
+            cmd_list.append(Command(es, change, keep))
+
+        return cmd_list, total_length
+
+
+    def run(self, retargeting_eyes, retargeting_mouth, turn_on, tracking_src_vid, animate_without_vid, command, crop_factor,
+            src_images=None, driving_images=None, motion_link=None):
+        if turn_on == False: return (None,None)
+        src_length = 1
+
+        if src_images == None:
+            if motion_link != None:
+                self.psi_list = [motion_link[0]]
+            else: return (None,None)
+
+        if src_images != None:
+            src_length = len(src_images)
+            if id(src_images) != id(self.src_images) or self.crop_factor != crop_factor:
+                self.crop_factor = crop_factor
+                self.src_images = src_images
+                if 1 < src_length:
+                    self.psi_list = g_engine.prepare_source(src_images, crop_factor, True, tracking_src_vid)
+                else:
+                    self.psi_list = [g_engine.prepare_source(src_images, crop_factor)]
+
+
+        cmd_list, cmd_length = self.parsing_command(command, motion_link)
+        if cmd_list == None: return (None,None)
+        cmd_idx = 0
+
+        driving_length = 0
+        if driving_images is not None:
+            if id(driving_images) != id(self.driving_images):
+                self.driving_images = driving_images
+                self.driving_values = g_engine.prepare_driving_video(driving_images)
+            driving_length = len(self.driving_values)
+
+        total_length = max(driving_length, src_length)
+
+        if animate_without_vid:
+            total_length = max(total_length, cmd_length)
+
+        c_i_es = ExpressionSet()
+        c_o_es = ExpressionSet()
+        d_0_es = None
+        out_list = []
+
+        psi = None
+        pipeline = g_engine.get_pipeline()
+        for i in range(total_length):
+
+            if i < src_length:
+                psi = self.psi_list[i]
+                s_info = psi.x_s_info
+                s_es = ExpressionSet(erst=(s_info['kp'] + s_info['exp'], torch.Tensor([0, 0, 0]), s_info['scale'], s_info['t']))
+
+            new_es = ExpressionSet(es = s_es)
+
+            if i < cmd_length:
+                cmd = cmd_list[cmd_idx]
+                if 0 < cmd.change:
+                    cmd.change -= 1
+                    c_i_es.add(cmd.es)
+                    c_i_es.sub(c_o_es)
+                elif 0 < cmd.keep:
+                    cmd.keep -= 1
+
+                new_es.add(c_i_es)
+
+                if cmd.change == 0 and cmd.keep == 0:
+                    cmd_idx += 1
+                    if cmd_idx < len(cmd_list):
+                        c_o_es = ExpressionSet(es = c_i_es)
+                        cmd = cmd_list[cmd_idx]
+                        c_o_es.div(cmd.change)
+            elif 0 < cmd_length:
+                new_es.add(c_i_es)
+
+            if i < driving_length:
+                d_i_info = self.driving_values[i]
+                d_i_r = torch.Tensor([d_i_info['pitch'], d_i_info['yaw'], d_i_info['roll']])#.float().to(device="cuda:0")
+
+                if d_0_es is None:
+                    d_0_es = ExpressionSet(erst = (d_i_info['exp'], d_i_r, d_i_info['scale'], d_i_info['t']))
+
+                    retargeting(s_es.e, d_0_es.e, retargeting_eyes, (11, 13, 15, 16))
+                    retargeting(s_es.e, d_0_es.e, retargeting_mouth, (14, 17, 19, 20))
+
+                new_es.e += d_i_info['exp'] - d_0_es.e
+                new_es.r += d_i_r - d_0_es.r
+                new_es.t += d_i_info['t'] - d_0_es.t
+
+            r_new = get_rotation_matrix(
+                s_info['pitch'] + new_es.r[0], s_info['yaw'] + new_es.r[1], s_info['roll'] + new_es.r[2])
+            d_new = new_es.s * (new_es.e @ r_new) + new_es.t
+            d_new = pipeline.stitching(psi.x_s_user, d_new)
+            crop_out = pipeline.warp_decode(psi.f_s_user, psi.x_s_user, d_new)
+            crop_out = pipeline.parse_output(crop_out['out'])[0]
+
+            crop_with_fullsize = cv2.warpAffine(crop_out, psi.crop_trans_m, get_rgb_size(psi.src_rgb),
+                                                cv2.INTER_LINEAR)
+            out = np.clip(psi.mask_ori * crop_with_fullsize + (1 - psi.mask_ori) * psi.src_rgb, 0, 255).astype(
+                np.uint8)
+            out_list.append(out)
+
+            self.pbar.update_absolute(i+1, total_length, ("PNG", Image.fromarray(crop_out), None))
+
+        if len(out_list) == 0: return (None,)
+
+        out_imgs = torch.cat([pil2tensor(img_rgb) for img_rgb in out_list])
+        return (out_imgs,)
+
+class ExpressionEditor:
+    def __init__(self):
+        self.sample_image = None
+        self.src_image = None
+        self.crop_factor = None
+
+    @classmethod
+    def INPUT_TYPES(s):
+        display = "number"
+        #display = "slider"
+        return {
+            "required": {
+
+                "rotate_pitch": ("FLOAT", {"default": 0, "min": -20, "max": 20, "step": 0.5, "display": display}),
+                "rotate_yaw": ("FLOAT", {"default": 0, "min": -20, "max": 20, "step": 0.5, "display": display}),
+                "rotate_roll": ("FLOAT", {"default": 0, "min": -20, "max": 20, "step": 0.5, "display": display}),
+
+                "blink": ("FLOAT", {"default": 0, "min": -20, "max": 5, "step": 0.5, "display": display}),
+                "eyebrow": ("FLOAT", {"default": 0, "min": -10, "max": 15, "step": 0.5, "display": display}),
+                "wink": ("FLOAT", {"default": 0, "min": 0, "max": 25, "step": 0.5, "display": display}),
+                "pupil_x": ("FLOAT", {"default": 0, "min": -15, "max": 15, "step": 0.5, "display": display}),
+                "pupil_y": ("FLOAT", {"default": 0, "min": -15, "max": 15, "step": 0.5, "display": display}),
+                "aaa": ("FLOAT", {"default": 0, "min": -30, "max": 120, "step": 1, "display": display}),
+                "eee": ("FLOAT", {"default": 0, "min": -20, "max": 15, "step": 0.2, "display": display}),
+                "woo": ("FLOAT", {"default": 0, "min": -20, "max": 15, "step": 0.2, "display": display}),
+                "smile": ("FLOAT", {"default": 0, "min": -0.3, "max": 1.3, "step": 0.01, "display": display}),
+
+                "src_ratio": ("FLOAT", {"default": 1, "min": 0, "max": 1, "step": 0.01, "display": display}),
+                "sample_ratio": ("FLOAT", {"default": 1, "min": -0.2, "max": 1.2, "step": 0.01, "display": display}),
+                "sample_parts": (["OnlyExpression", "OnlyRotation", "OnlyMouth", "OnlyEyes", "All"],),
+                "crop_factor": ("FLOAT", {"default": crop_factor_default,
+                                          "min": crop_factor_min, "max": crop_factor_max, "step": 0.1}),
+            },
+
+            "optional": {"src_image": ("IMAGE",), "motion_link": ("EDITOR_LINK",),
+                         "sample_image": ("IMAGE",), "add_exp": ("EXP_DATA",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE", "EDITOR_LINK", "EXP_DATA")
+    RETURN_NAMES = ("image", "motion_link", "save_exp")
+
+    FUNCTION = "run"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "AdvancedLivePortrait"
+
+    # INPUT_IS_LIST = False
+    # OUTPUT_IS_LIST = (False,)
+
+    def run(self, rotate_pitch, rotate_yaw, rotate_roll, blink, eyebrow, wink, pupil_x, pupil_y, aaa, eee, woo, smile,
+            src_ratio, sample_ratio, sample_parts, crop_factor, src_image=None, sample_image=None, motion_link=None, add_exp=None):
+        rotate_yaw = -rotate_yaw
+
+        new_editor_link = None
+        if motion_link != None:
+            self.psi = motion_link[0]
+            new_editor_link = motion_link.copy()
+        elif src_image != None:
+            if id(src_image) != id(self.src_image) or self.crop_factor != crop_factor:
+                self.crop_factor = crop_factor
+                self.psi = g_engine.prepare_source(src_image, crop_factor)
+                self.src_image = src_image
+            new_editor_link = []
+            new_editor_link.append(self.psi)
+        else:
+            return (None,None)
+
+        pipeline = g_engine.get_pipeline()
+
+        psi = self.psi
+        s_info = psi.x_s_info
+        #delta_new = copy.deepcopy()
+        s_exp = s_info['exp'] * src_ratio
+        s_exp[0, 5] = s_info['exp'][0, 5]
+        s_exp += s_info['kp']
+
+        es = ExpressionSet()
+
+        if sample_image != None:
+            if id(self.sample_image) != id(sample_image):
+                self.sample_image = sample_image
+                d_image_np = (sample_image * 255).byte().numpy()
+                d_face = g_engine.crop_face(d_image_np[0], 1.7)
+                i_d = g_engine.prepare_src_image(d_face)
+                self.d_info = pipeline.get_kp_info(i_d)
+                self.d_info['exp'][0, 5, 0] = 0
+                self.d_info['exp'][0, 5, 1] = 0
+
+            # "OnlyExpression", "OnlyRotation", "OnlyMouth", "OnlyEyes", "All"
+            if sample_parts == "OnlyExpression" or sample_parts == "All":
+                es.e += self.d_info['exp'] * sample_ratio
+            if sample_parts == "OnlyRotation" or sample_parts == "All":
+                rotate_pitch += self.d_info['pitch'] * sample_ratio
+                rotate_yaw += self.d_info['yaw'] * sample_ratio
+                rotate_roll += self.d_info['roll'] * sample_ratio
+            elif sample_parts == "OnlyMouth":
+                retargeting(es.e, self.d_info['exp'], sample_ratio, (14, 17, 19, 20))
+            elif sample_parts == "OnlyEyes":
+                retargeting(es.e, self.d_info['exp'], sample_ratio, (1, 2, 11, 13, 15, 16))
+
+        es.r = g_engine.calc_fe(es.e, blink, eyebrow, wink, pupil_x, pupil_y, aaa, eee, woo, smile,
+                                  rotate_pitch, rotate_yaw, rotate_roll)
+
+        if add_exp != None:
+            es.add(add_exp)
+
+        new_rotate = get_rotation_matrix(s_info['pitch'] + es.r[0], s_info['yaw'] + es.r[1],
+                                         s_info['roll'] + es.r[2])
+        x_d_new = (s_info['scale'] * (1 + es.s)) * ((s_exp + es.e) @ new_rotate) + s_info['t']
+
+        x_d_new = pipeline.stitching(psi.x_s_user, x_d_new)
+
+        crop_out = pipeline.warp_decode(psi.f_s_user, psi.x_s_user, x_d_new)
+        crop_out = pipeline.parse_output(crop_out['out'])[0]
+
+        crop_with_fullsize = cv2.warpAffine(crop_out, psi.crop_trans_m, get_rgb_size(psi.src_rgb), cv2.INTER_LINEAR)
+        out = np.clip(psi.mask_ori * crop_with_fullsize + (1 - psi.mask_ori) * psi.src_rgb, 0, 255).astype(np.uint8)
+
+        out_img = pil2tensor(out)
+
+        filename = g_engine.get_temp_img_name() #"fe_edit_preview.png"
+        folder_paths.get_save_image_path(filename, folder_paths.get_temp_directory())
+        img = Image.fromarray(crop_out)
+        img.save(os.path.join(folder_paths.get_temp_directory(), filename), compress_level=1)
+        results = list()
+        results.append({"filename": filename, "type": "temp"})
+
+        new_editor_link.append(es)
+
+        return {"ui": {"images": results}, "result": (out_img, new_editor_link, es)}
+
+NODE_CLASS_MAPPINGS = {
+    "AdvancedLivePortrait": AdvancedLivePortrait,
+    "ExpressionEditor": ExpressionEditor,
+    "LoadExpData": LoadExpData,
+    "SaveExpData": SaveExpData,
+    "ExpData": ExpData,
+    "PrintExpData:": PrintExpData,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "AdvancedLivePortrait": "Advanced Live Portrait (PHM)",
+    "ExpressionEditor": "Expression Editor (PHM)",
+    "LoadExpData": "Load Exp Data (PHM)",
+    "SaveExpData": "Save Exp Data (PHM)"
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/pyproject.toml b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..5b3c401cb03b1eb2f0bf81ff0dd76cf2a17a5883
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/pyproject.toml
@@ -0,0 +1,15 @@
+[project]
+name = "comfyui-advancedliveportrait"
+description = "AdvancedLivePortrait with Facial expression editor"
+version = "1.0.0"
+license = {file = "LICENSE"}
+dependencies = ["numpy>=1.26.4", "opencv-python-headless", "imageio-ffmpeg>=0.5.1", "lmdb>=1.4.1", "timm>=1.0.7", "rich>=13.7.1", "albumentations>=1.4.10", "ultralytics", "tyro==0.8.5", "dill"]
+
+[project.urls]
+Repository = "https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait"
+#  Used by Comfy Registry https://comfyregistry.org
+
+[tool.comfy]
+PublisherId = "starmapking"
+DisplayName = "ComfyUI-AdvancedLivePortrait"
+Icon = ""
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/requirements.txt b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..03f0383c99bd983832e627cc0b1d8eef2d38846c
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/requirements.txt
@@ -0,0 +1,10 @@
+numpy>=1.26.4
+opencv-python-headless
+imageio-ffmpeg>=0.5.1
+lmdb>=1.4.1
+timm>=1.0.7
+rich>=13.7.1
+albumentations>=1.4.10
+ultralytics
+tyro==0.8.5
+dill
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/driving_video.mp4 b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/driving_video.mp4
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--- /dev/null
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63f6f9962e1fdf6e6722172e7a18155204858d5d5ce3b1e0646c150360c33bed
+size 2958395
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--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/original_sample_asset/driving/d3.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef5c86e49b1b43dcb1449b499eb5a7f0cbae2f78aec08b5598193be1e4257099
+size 1430968
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/original_sample_asset/driving/d5.mp4 b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/original_sample_asset/driving/d5.mp4
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diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/original_sample_asset/driving/d6.mp4 b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/original_sample_asset/driving/d6.mp4
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--- /dev/null
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00e3ea79bbf28cbdc4fbb67ec655d9a0fe876e880ec45af55ae481348d0c0fff
+size 1967790
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--- /dev/null
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a414aa1d547be35306d692065a2157434bf40a6025ba8e30ce12e5bb322cc33
+size 2257929
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diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflow_advanced_screenshot.png b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflow_advanced_screenshot.png
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diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflow_basic_screenshot.png b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflow_basic_screenshot.png
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diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Advanced_Animate_without_vid.json b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Advanced_Animate_without_vid.json
new file mode 100644
index 0000000000000000000000000000000000000000..e0ff6cb03efbf5196b4983b74e6fa5c8a9f88d10
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Advanced_Animate_without_vid.json
@@ -0,0 +1,359 @@
+{
+  "last_node_id": 18,
+  "last_link_id": 11,
+  "nodes": [
+    {
+      "id": 3,
+      "type": "LoadImage",
+      "pos": [
+        1385,
+        278
+      ],
+      "size": [
+        223.20395091844193,
+        308.6326788490376
+      ],
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            11
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null,
+          "slot_index": 1,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "source_image.png",
+        "image"
+      ]
+    },
+    {
+      "id": 7,
+      "type": "AdvancedLivePortrait",
+      "pos": [
+        1889,
+        270
+      ],
+      "size": {
+        "0": 235.1999969482422,
+        "1": 523.0364379882812
+      },
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "src_images",
+          "type": "IMAGE",
+          "link": null
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "link": 10
+        },
+        {
+          "name": "driving_images",
+          "type": "IMAGE",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            8
+          ],
+          "slot_index": 0,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "AdvancedLivePortrait"
+      },
+      "widgets_values": [
+        0,
+        0,
+        1.7000000000000002,
+        true,
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+        true,
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+      ]
+    },
+    {
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+      "type": "VHS_VideoCombine",
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+      "order": 6,
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+          "type": "IMAGE",
+          "link": 8
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "link": null
+        },
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "Filenames",
+          "type": "VHS_FILENAMES",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_VideoCombine"
+      },
+      "widgets_values": {
+        "frame_rate": 15,
+        "loop_count": 0,
+        "filename_prefix": "AdvancedLivePortrait",
+        "format": "video/h264-mp4",
+        "pix_fmt": "yuv420p",
+        "crf": 19,
+        "save_metadata": true,
+        "pingpong": false,
+        "save_output": true,
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "filename": "AdvancedLivePortrait_00021.mp4",
+            "subfolder": "",
+            "type": "output",
+            "format": "video/h264-mp4",
+            "frame_rate": 15
+          }
+        }
+      }
+    },
+    {
+      "id": 15,
+      "type": "ExpressionEditor",
+      "pos": [
+        1643,
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+      "size": {
+        "0": 210,
+        "1": 690
+      },
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "src_image",
+          "type": "IMAGE",
+          "link": 11
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "link": null
+        },
+        {
+          "name": "sample_image",
+          "type": "IMAGE",
+          "link": null
+        },
+        {
+          "name": "add_exp",
+          "type": "EXP_DATA",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "links": [
+            10
+          ],
+          "slot_index": 1,
+          "shape": 3
+        },
+        {
+          "name": "save_exp",
+          "type": "EXP_DATA",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ExpressionEditor"
+      },
+      "widgets_values": [
+        0,
+        0,
+        0,
+        0,
+        0,
+        25,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        1,
+        1,
+        "OnlyExpression",
+        1.7
+      ]
+    },
+    {
+      "id": 16,
+      "type": "Note",
+      "pos": [
+        1892,
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+      ],
+      "size": [
+        483.8180073265835,
+        161.2032413725933
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "Command Description\n1 = 5:5\n0 = 3:5\n\n[Motion index] = [Changing frame length] : [Length of frames waiting for next motion]\n\nfor example, first line -> 1 = 5:5\nChange over 5 frames with motion 1, and wait for the next motion for 5 frames"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 17,
+      "type": "Note",
+      "pos": [
+        1629,
+        996
+      ],
+      "size": [
+        227.12395091844178,
+        58
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "motion 1"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 18,
+      "type": "Note",
+      "pos": [
+        1373,
+        625
+      ],
+      "size": {
+        "0": 210,
+        "1": 58
+      },
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "orginal src : motion 0\n"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    }
+  ],
+  "links": [
+    [
+      8,
+      7,
+      0,
+      10,
+      0,
+      "IMAGE"
+    ],
+    [
+      10,
+      15,
+      1,
+      7,
+      1,
+      "EDITOR_LINK"
+    ],
+    [
+      11,
+      3,
+      0,
+      15,
+      0,
+      "IMAGE"
+    ]
+  ],
+  "groups": [],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 1.1000000000000005,
+      "offset": [
+        -841.7371241966999,
+        104.19308875020204
+      ]
+    }
+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Advanced_Inserting_expressions_into_vid.json b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Advanced_Inserting_expressions_into_vid.json
new file mode 100644
index 0000000000000000000000000000000000000000..7810b6f5e33e69a5dadde1a4ac41840afc51841b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Advanced_Inserting_expressions_into_vid.json
@@ -0,0 +1,564 @@
+{
+  "last_node_id": 14,
+  "last_link_id": 8,
+  "nodes": [
+    {
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+      "type": "LoadImage",
+      "pos": [
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+        299
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+      "size": {
+        "0": 315,
+        "1": 314
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            3
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
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+          "type": "MASK",
+          "links": null,
+          "slot_index": 1,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "source_image.png",
+        "image"
+      ]
+    },
+    {
+      "id": 6,
+      "type": "ExpressionEditor",
+      "pos": [
+        1085,
+        294
+      ],
+      "size": {
+        "0": 210,
+        "1": 690
+      },
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "src_image",
+          "type": "IMAGE",
+          "link": 3
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "link": null
+        },
+        {
+          "name": "sample_image",
+          "type": "IMAGE",
+          "link": null
+        },
+        {
+          "name": "add_exp",
+          "type": "EXP_DATA",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "links": [
+            5
+          ],
+          "slot_index": 1,
+          "shape": 3
+        },
+        {
+          "name": "save_exp",
+          "type": "EXP_DATA",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ExpressionEditor"
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+        {
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+          "type": "EDITOR_LINK",
+          "link": 6
+        },
+        {
+          "name": "driving_images",
+          "type": "IMAGE",
+          "link": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            8
+          ],
+          "slot_index": 0,
+          "shape": 3
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+        "1 = 1:10\n2 = 5:10\n0 = 2:50\n1 = 2:0",
+        false,
+        "1 = 1:10\n2 = 5:10\n0 = 2:50\n1 = 2:0"
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+        {
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+          "type": "EDITOR_LINK",
+          "link": 5
+        },
+        {
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+          "link": null
+        },
+        {
+          "name": "add_exp",
+          "type": "EXP_DATA",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "links": [
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+          "slot_index": 1,
+          "shape": 3
+        },
+        {
+          "name": "save_exp",
+          "type": "EXP_DATA",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ExpressionEditor"
+      },
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+      "type": "VHS_LoadVideo",
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+      "size": [
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+        491.1999969482422
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            7
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "frame_count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "audio",
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+          "links": null,
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+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
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+      "widgets_values": {
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+        "force_rate": 0,
+        "force_size": "Disabled",
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+        "select_every_nth": 2,
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+          "paused": false,
+          "params": {
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+            "skip_first_frames": 0,
+            "force_rate": 0,
+            "filename": "driving_video.mp4",
+            "type": "input",
+            "format": "video/mp4",
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+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "link": null
+        },
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "Filenames",
+          "type": "VHS_FILENAMES",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_VideoCombine"
+      },
+      "widgets_values": {
+        "frame_rate": 15,
+        "loop_count": 0,
+        "filename_prefix": "AdvancedLivePortrait",
+        "format": "video/h264-mp4",
+        "pix_fmt": "yuv420p",
+        "crf": 19,
+        "save_metadata": true,
+        "pingpong": false,
+        "save_output": true,
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "filename": "AdvancedLivePortrait_00023.mp4",
+            "subfolder": "",
+            "type": "output",
+            "format": "video/h264-mp4",
+            "frame_rate": 15
+          }
+        }
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+      },
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "Command Description\n1 = 1:10\n2 = 5:10\n0 = 2:50\n1 = 2:0\n\n[Motion index] = [Changing frame length] : [Length of frames waiting for next motion]\n\nfor example, second line -> 2 = 5:10\nChange over 5 frames with motion 2, and wait for the next motion for 10 frames\n\n"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
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+      "type": "Note",
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+      ],
+      "size": {
+        "0": 210,
+        "1": 58
+      },
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "motion1\n"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
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+      "type": "Note",
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+      "size": {
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+      },
+      "flags": {
+        "collapsed": false
+      },
+      "order": 3,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "motion2\n"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
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+      "type": "Note",
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+        684
+      ],
+      "size": {
+        "0": 210,
+        "1": 58
+      },
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "orginal src : motion0\n"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    }
+  ],
+  "links": [
+    [
+      3,
+      3,
+      0,
+      6,
+      0,
+      "IMAGE"
+    ],
+    [
+      5,
+      6,
+      1,
+      8,
+      1,
+      "EDITOR_LINK"
+    ],
+    [
+      6,
+      8,
+      1,
+      7,
+      1,
+      "EDITOR_LINK"
+    ],
+    [
+      7,
+      9,
+      0,
+      7,
+      2,
+      "IMAGE"
+    ],
+    [
+      8,
+      7,
+      0,
+      10,
+      0,
+      "IMAGE"
+    ]
+  ],
+  "groups": [],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 1.1000000000000005,
+      "offset": [
+        -678.8740830330757,
+        -35.741089089667945
+      ]
+    }
+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Bacis_Extracting_expression_from_photo.json b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Bacis_Extracting_expression_from_photo.json
new file mode 100644
index 0000000000000000000000000000000000000000..e22f5c417cf48086db22cdff0781378feb75fbd9
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Bacis_Extracting_expression_from_photo.json
@@ -0,0 +1,241 @@
+{
+  "last_node_id": 33,
+  "last_link_id": 39,
+  "nodes": [
+    {
+      "id": 19,
+      "type": "LoadImage",
+      "pos": [
+        1022,
+        702
+      ],
+      "size": {
+        "0": 220.3717041015625,
+        "1": 314
+      },
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            25
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "exp_image.png",
+        "image"
+      ]
+    },
+    {
+      "id": 20,
+      "type": "LoadImage",
+      "pos": [
+        1027.712857031252,
+        322.70146904296865
+      ],
+      "size": {
+        "0": 210.9286651611328,
+        "1": 314
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            26
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "source_image.png",
+        "image"
+      ]
+    },
+    {
+      "id": 21,
+      "type": "ExpressionEditor",
+      "pos": [
+        1305,
+        338
+      ],
+      "size": [
+        252.62867736816406,
+        690
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "src_image",
+          "type": "IMAGE",
+          "link": 26
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "link": null
+        },
+        {
+          "name": "sample_image",
+          "type": "IMAGE",
+          "link": 25
+        },
+        {
+          "name": "add_exp",
+          "type": "EXP_DATA",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            39
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "save_exp",
+          "type": "EXP_DATA",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ExpressionEditor"
+      },
+      "widgets_values": [
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        1,
+        1,
+        "OnlyExpression",
+        1.7
+      ]
+    },
+    {
+      "id": 33,
+      "type": "SaveImage",
+      "pos": [
+        1617,
+        390
+      ],
+      "size": [
+        263.6363636363635,
+        278.18181818181813
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 39
+        }
+      ],
+      "properties": {},
+      "widgets_values": [
+        "ExpressionEditing"
+      ]
+    }
+  ],
+  "links": [
+    [
+      25,
+      19,
+      0,
+      21,
+      2,
+      "IMAGE"
+    ],
+    [
+      26,
+      20,
+      0,
+      21,
+      0,
+      "IMAGE"
+    ],
+    [
+      39,
+      21,
+      0,
+      33,
+      0,
+      "IMAGE"
+    ]
+  ],
+  "groups": [
+    {
+      "title": "Extracting facial expressions from photos",
+      "bounding": [
+        970,
+        233,
+        939,
+        823
+      ],
+      "color": "#a1309b",
+      "font_size": 30
+    }
+  ],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 1,
+      "offset": [
+        -256.9678555487616,
+        -36.006961063159906
+      ]
+    }
+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Bacis_Liveportrait_with_expression_editing.json b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Bacis_Liveportrait_with_expression_editing.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3eaebffa97ad0fc21564e64d9ccb07f5193be65
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Bacis_Liveportrait_with_expression_editing.json
@@ -0,0 +1,392 @@
+{
+  "last_node_id": 32,
+  "last_link_id": 38,
+  "nodes": [
+    {
+      "id": 26,
+      "type": "LoadImage",
+      "pos": [
+        574.0879504882818,
+        354.13510488281264
+      ],
+      "size": {
+        "0": 210,
+        "1": 314
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            30
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "source_image.png",
+        "image"
+      ]
+    },
+    {
+      "id": 27,
+      "type": "VHS_LoadVideo",
+      "pos": [
+        1113,
+        443
+      ],
+      "size": [
+        235.1999969482422,
+        491.1999969482422
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            31
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "frame_count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "video_info",
+          "type": "VHS_VIDEOINFO",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_LoadVideo"
+      },
+      "widgets_values": {
+        "video": "driving_video.mp4",
+        "force_rate": 0,
+        "force_size": "Disabled",
+        "custom_width": 512,
+        "custom_height": 512,
+        "frame_load_cap": 0,
+        "skip_first_frames": 0,
+        "select_every_nth": 2,
+        "choose video to upload": "image",
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "frame_load_cap": 0,
+            "skip_first_frames": 0,
+            "force_rate": 0,
+            "filename": "driving_video.mp4",
+            "type": "input",
+            "format": "video/mp4",
+            "select_every_nth": 2
+          }
+        }
+      }
+    },
+    {
+      "id": 28,
+      "type": "AdvancedLivePortrait",
+      "pos": [
+        1386,
+        353
+      ],
+      "size": [
+        235.1999969482422,
+        674.0390319824219
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "src_images",
+          "type": "IMAGE",
+          "link": 38
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "link": null
+        },
+        {
+          "name": "driving_images",
+          "type": "IMAGE",
+          "link": 31
+        }
+      ],
+      "outputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            35
+          ],
+          "slot_index": 0,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "AdvancedLivePortrait"
+      },
+      "widgets_values": [
+        0,
+        0,
+        1.5,
+        true,
+        "",
+        false,
+        ""
+      ]
+    },
+    {
+      "id": 29,
+      "type": "VHS_VideoCombine",
+      "pos": [
+        1664,
+        357
+      ],
+      "size": [
+        272.9300842285156,
+        576.9300842285156
+      ],
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 35
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "link": null
+        },
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "Filenames",
+          "type": "VHS_FILENAMES",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_VideoCombine"
+      },
+      "widgets_values": {
+        "frame_rate": 15,
+        "loop_count": 0,
+        "filename_prefix": "AdvancedLivePortrait",
+        "format": "video/h264-mp4",
+        "pix_fmt": "yuv420p",
+        "crf": 19,
+        "save_metadata": true,
+        "pingpong": false,
+        "save_output": true,
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "filename": "AdvancedLivePortrait_00001.mp4",
+            "subfolder": "",
+            "type": "temp",
+            "format": "video/h264-mp4",
+            "frame_rate": 15
+          }
+        }
+      }
+    },
+    {
+      "id": 30,
+      "type": "ExpressionEditor",
+      "pos": [
+        837.0879504882818,
+        349.1351048828126
+      ],
+      "size": {
+        "0": 256.8715515136719,
+        "1": 690
+      },
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "src_image",
+          "type": "IMAGE",
+          "link": 30
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "link": null
+        },
+        {
+          "name": "sample_image",
+          "type": "IMAGE",
+          "link": null
+        },
+        {
+          "name": "add_exp",
+          "type": "EXP_DATA",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            38
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "save_exp",
+          "type": "EXP_DATA",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ExpressionEditor"
+      },
+      "widgets_values": [
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        1.3,
+        1,
+        1,
+        "OnlyExpression",
+        1.7000000000000002
+      ]
+    }
+  ],
+  "links": [
+    [
+      30,
+      26,
+      0,
+      30,
+      0,
+      "IMAGE"
+    ],
+    [
+      31,
+      27,
+      0,
+      28,
+      2,
+      "IMAGE"
+    ],
+    [
+      35,
+      28,
+      0,
+      29,
+      0,
+      "IMAGE"
+    ],
+    [
+      38,
+      30,
+      0,
+      28,
+      0,
+      "IMAGE"
+    ]
+  ],
+  "groups": [
+    {
+      "title": "Live Portrait with facial expression editing",
+      "bounding": [
+        555,
+        266,
+        1427,
+        789
+      ],
+      "color": "#3f789e",
+      "font_size": 30
+    }
+  ],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 0.8264462809917354,
+      "offset": [
+        185.1062862025528,
+        195.77375741392547
+      ]
+    }
+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Bacis_Simple_expression_editing.json b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Bacis_Simple_expression_editing.json
new file mode 100644
index 0000000000000000000000000000000000000000..408833d434b062f88bed19cb130fb63332a390e0
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-AdvancedLivePortrait/sample/workflows/Bacis_Simple_expression_editing.json
@@ -0,0 +1,194 @@
+{
+  "last_node_id": 33,
+  "last_link_id": 40,
+  "nodes": [
+    {
+      "id": 14,
+      "type": "ExpressionEditor",
+      "pos": [
+        1044.0000000000002,
+        362.78992797851555
+      ],
+      "size": [
+        260.81048583984375,
+        690
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "src_image",
+          "type": "IMAGE",
+          "link": 19
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "link": null
+        },
+        {
+          "name": "sample_image",
+          "type": "IMAGE",
+          "link": null
+        },
+        {
+          "name": "add_exp",
+          "type": "EXP_DATA",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            40
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "motion_link",
+          "type": "EDITOR_LINK",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "save_exp",
+          "type": "EXP_DATA",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ExpressionEditor"
+      },
+      "widgets_values": [
+        0,
+        0,
+        0,
+        0,
+        0,
+        23.5,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        1,
+        1,
+        "OnlyExpression",
+        1.7000000000000002
+      ]
+    },
+    {
+      "id": 15,
+      "type": "LoadImage",
+      "pos": [
+        776,
+        366.78992797851555
+      ],
+      "size": {
+        "0": 210,
+        "1": 314
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            19
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "source_image.png",
+        "image"
+      ]
+    },
+    {
+      "id": 33,
+      "type": "SaveImage",
+      "pos": [
+        1351.0000000000005,
+        373.78992797851555
+      ],
+      "size": [
+        257.83631037110194,
+        270
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 40
+        }
+      ],
+      "properties": {},
+      "widgets_values": [
+        "ExpressionEditing"
+      ]
+    }
+  ],
+  "links": [
+    [
+      19,
+      15,
+      0,
+      14,
+      0,
+      "IMAGE"
+    ],
+    [
+      40,
+      14,
+      0,
+      33,
+      0,
+      "IMAGE"
+    ]
+  ],
+  "groups": [
+    {
+      "title": "Simple facial expression editing",
+      "bounding": [
+        745,
+        261,
+        896,
+        835
+      ],
+      "color": "#88A",
+      "font_size": 30
+    }
+  ],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 0.7513148009015777,
+      "offset": [
+        561.7325573974937,
+        267.43204960931945
+      ]
+    }
+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/.github/workflows/publish.yml b/ComfyUI/custom_nodes/ComfyUI-KJNodes/.github/workflows/publish.yml
new file mode 100644
index 0000000000000000000000000000000000000000..828f300203c628d32100495bfc3c1f2a94eead55
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/.github/workflows/publish.yml
@@ -0,0 +1,21 @@
+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+    paths:
+      - "pyproject.toml"
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          ## Add your own personal access token to your Github Repository secrets and reference it here.
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/.gitignore b/ComfyUI/custom_nodes/ComfyUI-KJNodes/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..611dce435e74d6e09832bbeb9227ed1f90cf6862
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/.gitignore
@@ -0,0 +1,10 @@
+__pycache__
+/venv
+*.code-workspace
+.history
+.vscode
+*.ckpt
+*.pth
+types
+models
+jsconfig.json
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/LICENSE b/ComfyUI/custom_nodes/ComfyUI-KJNodes/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..f288702d2fa16d3cdf0035b15a9fcbc552cd88e7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/LICENSE
@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights.  Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
+  For example, if you distribute copies of such a program, whether
+gratis or for a fee, you must pass on to the recipients the same
+freedoms that you received.  You must make sure that they, too, receive
+or can get the source code.  And you must show them these terms so they
+know their rights.
+
+  Developers that use the GNU GPL protect your rights with two steps:
+(1) assert copyright on the software, and (2) offer you this License
+giving you legal permission to copy, distribute and/or modify it.
+
+  For the developers' and authors' protection, the GPL clearly explains
+that there is no warranty for this free software.  For both users' and
+authors' sake, the GPL requires that modified versions be marked as
+changed, so that their problems will not be attributed erroneously to
+authors of previous versions.
+
+  Some devices are designed to deny users access to install or run
+modified versions of the software inside them, although the manufacturer
+can do so.  This is fundamentally incompatible with the aim of
+protecting users' freedom to change the software.  The systematic
+pattern of such abuse occurs in the area of products for individuals to
+use, which is precisely where it is most unacceptable.  Therefore, we
+have designed this version of the GPL to prohibit the practice for those
+products.  If such problems arise substantially in other domains, we
+stand ready to extend this provision to those domains in future versions
+of the GPL, as needed to protect the freedom of users.
+
+  Finally, every program is threatened constantly by software patents.
+States should not allow patents to restrict development and use of
+software on general-purpose computers, but in those that do, we wish to
+avoid the special danger that patents applied to a free program could
+make it effectively proprietary.  To prevent this, the GPL assures that
+patents cannot be used to render the program non-free.
+
+  The precise terms and conditions for copying, distribution and
+modification follow.
+
+                       TERMS AND CONDITIONS
+
+  0. Definitions.
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+  "This License" refers to version 3 of the GNU General Public License.
+
+  "Copyright" also means copyright-like laws that apply to other kinds of
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+  7. Additional Terms.
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+  "Additional permissions" are terms that supplement the terms of this
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+Additional permissions that are applicable to the entire Program shall
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+
+  Nothing in this License shall be construed as excluding or limiting
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+  12. No Surrender of Others' Freedom.
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+  If conditions are imposed on you (whether by court order, agreement or
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+  13. Use with the GNU Affero General Public License.
+
+  Notwithstanding any other provision of this License, you have
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+  14. Revised Versions of this License.
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+  The Free Software Foundation may publish revised and/or new versions of
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+  If the Program specifies that a proxy can decide which future
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+  Later license versions may give you additional or different
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+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
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+  17. Interpretation of Sections 15 and 16.
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+  If the disclaimer of warranty and limitation of liability provided
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+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
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+  To do so, attach the following notices to the program.  It is safest
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+    <one line to give the program's name and a brief idea of what it does.>
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+
+    This program is distributed in the hope that it will be useful,
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+
+    You should have received a copy of the GNU General Public License
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+
+Also add information on how to contact you by electronic and paper mail.
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+  If the program does terminal interaction, make it output a short
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+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
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+The hypothetical commands `show w' and `show c' should show the appropriate
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+
+  You should also get your employer (if you work as a programmer) or school,
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+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/README.md b/ComfyUI/custom_nodes/ComfyUI-KJNodes/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..4902861f84b9442d917f1eeff520ae54d95edec4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/README.md
@@ -0,0 +1,65 @@
+# KJNodes for ComfyUI
+
+Various quality of life and masking related -nodes and scripts made by combining functionality of existing nodes for ComfyUI.
+
+I know I'm bad at documentation, especially this project that has grown from random practice nodes to... too many lines in one file.
+I have however started to add descriptions to the nodes themselves, there's a small ? you can click for info what the node does.
+This is still work in progress, like everything else.
+
+# Installation
+1. Clone this repo into `custom_nodes` folder.
+2. Install dependencies: `pip install -r requirements.txt`
+   or if you use the portable install, run this in ComfyUI_windows_portable -folder:
+
+  `python_embeded\python.exe -m pip install -r ComfyUI\custom_nodes\ComfyUI-KJNodes\requirements.txt`
+   
+
+## Javascript
+
+### browserstatus.js
+Sets the favicon to green circle when not processing anything, sets it to red when processing and shows progress percentage and the lenghth of your queue. 
+Default off, needs to be enabled from options, overrides Custom-Scripts favicon when enabled.
+
+## Nodes:
+
+### Set/Get
+
+Javascript nodes to set and get constants to reduce unnecessary lines. Takes in and returns anything, purely visual nodes.
+On the right click menu of these nodes there's now an options to visualize the paths, as well as option to jump to the corresponding node on the other end.
+
+**Known limitations**:
+  - Will not work with any node that dynamically sets it's outpute, such as reroute or other Set/Get node
+  - Will not work when directly connected to a bypassed node
+  - Other possible conflicts with javascript based nodes.
+
+### ColorToMask
+
+RBG color value to mask, works with batches and AnimateDiff.
+
+### ConditioningMultiCombine
+
+Combine any number of conditions, saves space.
+
+### ConditioningSetMaskAndCombine
+
+Mask and combine two sets of conditions, saves space.
+
+### GrowMaskWithBlur
+
+Grows or shrinks (with negative values) mask, option to invert input, returns mask and inverted mask. Additionally Blurs the mask, this is a slow operation especially with big batches.
+
+### RoundMask
+
+![image](https://github.com/kijai/ComfyUI-KJNodes/assets/40791699/52c85202-f74e-4b96-9dac-c8bda5ddcc40)
+
+### WidgetToString
+Outputs the value of a widget on any node as a string
+![example of use](docs/images/2024-04-03_20_49_29-ComfyUI.png)
+
+Enable node id display from Manager menu, to get the ID of the node you want to read a widget from:
+![enable node id display](docs/images/319121636-706b5081-9120-4a29-bd76-901691ada688.png)
+
+Use the node id of the target node, and add the name of the widget to read from
+![use node id and widget name](docs/images/319121566-05f66385-7568-4b1f-8bbc-11053660b02f.png)
+
+Recreating or reloading the target node will change its id, and the WidgetToString node will no longer be able to find it until you update the node id value with the new id.
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/__init__.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..1df5bca4be0d1f76bacad3609caba41f329033f9
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/__init__.py
@@ -0,0 +1,173 @@
+from .nodes.nodes import *
+from .nodes.curve_nodes import *
+from .nodes.batchcrop_nodes import *
+from .nodes.audioscheduler_nodes import *
+from .nodes.image_nodes import *
+from .nodes.intrinsic_lora_nodes import *
+from .nodes.mask_nodes import *
+NODE_CONFIG = {
+    #constants
+    "INTConstant": {"class": INTConstant, "name": "INT Constant"},
+    "FloatConstant": {"class": FloatConstant, "name": "Float Constant"},
+    "StringConstant": {"class": StringConstant, "name": "String Constant"},
+    "StringConstantMultiline": {"class": StringConstantMultiline, "name": "String Constant Multiline"},
+    #conditioning
+    "ConditioningMultiCombine": {"class": ConditioningMultiCombine, "name": "Conditioning Multi Combine"},
+    "ConditioningSetMaskAndCombine": {"class": ConditioningSetMaskAndCombine, "name": "ConditioningSetMaskAndCombine"},
+    "ConditioningSetMaskAndCombine3": {"class": ConditioningSetMaskAndCombine3, "name": "ConditioningSetMaskAndCombine3"},
+    "ConditioningSetMaskAndCombine4": {"class": ConditioningSetMaskAndCombine4, "name": "ConditioningSetMaskAndCombine4"},
+    "ConditioningSetMaskAndCombine5": {"class": ConditioningSetMaskAndCombine5, "name": "ConditioningSetMaskAndCombine5"},
+    "CondPassThrough": {"class": CondPassThrough},
+    #masking
+    "DownloadAndLoadCLIPSeg": {"class": DownloadAndLoadCLIPSeg, "name": "(Down)load CLIPSeg"},
+    "BatchCLIPSeg": {"class": BatchCLIPSeg, "name": "Batch CLIPSeg"},
+    "ColorToMask": {"class": ColorToMask, "name": "Color To Mask"},
+    "CreateGradientMask": {"class": CreateGradientMask, "name": "Create Gradient Mask"},
+    "CreateTextMask": {"class": CreateTextMask, "name": "Create Text Mask"},
+    "CreateAudioMask": {"class": CreateAudioMask, "name": "Create Audio Mask"},
+    "CreateFadeMask": {"class": CreateFadeMask, "name": "Create Fade Mask"},
+    "CreateFadeMaskAdvanced": {"class": CreateFadeMaskAdvanced, "name": "Create Fade Mask Advanced"},
+    "CreateFluidMask": {"class": CreateFluidMask, "name": "Create Fluid Mask"},
+    "CreateShapeMask": {"class": CreateShapeMask, "name": "Create Shape Mask"},
+    "CreateVoronoiMask": {"class": CreateVoronoiMask, "name": "Create Voronoi Mask"},
+    "CreateMagicMask": {"class": CreateMagicMask, "name": "Create Magic Mask"},
+    "GetMaskSizeAndCount": {"class": GetMaskSizeAndCount, "name": "Get Mask Size & Count"},
+    "GrowMaskWithBlur": {"class": GrowMaskWithBlur, "name": "Grow Mask With Blur"},
+    "MaskBatchMulti": {"class": MaskBatchMulti, "name": "Mask Batch Multi"},
+    "OffsetMask": {"class": OffsetMask, "name": "Offset Mask"},
+    "RemapMaskRange": {"class": RemapMaskRange, "name": "Remap Mask Range"},
+    "ResizeMask": {"class": ResizeMask, "name": "Resize Mask"},
+    "RoundMask": {"class": RoundMask, "name": "Round Mask"},
+    #images
+    "AddLabel": {"class": AddLabel, "name": "Add Label"},
+    "ColorMatch": {"class": ColorMatch, "name": "Color Match"},
+    "CrossFadeImages": {"class": CrossFadeImages, "name": "Cross Fade Images"},
+    "GetImagesFromBatchIndexed": {"class": GetImagesFromBatchIndexed, "name": "Get Images From Batch Indexed"},
+    "GetImageRangeFromBatch": {"class": GetImageRangeFromBatch, "name": "Get Image or Mask Range From Batch"},
+    "GetImageSizeAndCount": {"class": GetImageSizeAndCount, "name": "Get Image Size & Count"},
+    "ImageAndMaskPreview": {"class": ImageAndMaskPreview},
+    "ImageAddMulti": {"class": ImageAddMulti, "name": "Image Add Multi"},
+    "ImageBatchMulti": {"class": ImageBatchMulti, "name": "Image Batch Multi"},
+    "ImageBatchRepeatInterleaving": {"class": ImageBatchRepeatInterleaving},
+    "ImageBatchTestPattern": {"class": ImageBatchTestPattern, "name": "Image Batch Test Pattern"},
+    "ImageConcanate": {"class": ImageConcanate, "name": "Image Concatenate"},
+    "ImageConcatFromBatch": {"class": ImageConcatFromBatch, "name": "Image Concatenate From Batch"},
+    "ImageConcatMulti": {"class": ImageConcatMulti, "name": "Image Concatenate Multi"},
+    "ImageGrabPIL": {"class": ImageGrabPIL, "name": "Image Grab PIL"},
+    "ImageGridComposite2x2": {"class": ImageGridComposite2x2, "name": "Image Grid Composite 2x2"},
+    "ImageGridComposite3x3": {"class": ImageGridComposite3x3, "name": "Image Grid Composite 3x3"},
+    "ImageGridtoBatch": {"class": ImageGridtoBatch, "name": "Image Grid To Batch"},
+    "ImageNormalize_Neg1_To_1": {"class": ImageNormalize_Neg1_To_1, "name": "Image Normalize -1 to 1"},
+    "ImagePass": {"class": ImagePass},
+    "ImagePadForOutpaintMasked": {"class": ImagePadForOutpaintMasked, "name": "Image Pad For Outpaint Masked"},
+    "ImagePadForOutpaintTargetSize": {"class": ImagePadForOutpaintTargetSize, "name": "Image Pad For Outpaint Target Size"},
+    "ImageResizeKJ": {"class": ImageResizeKJ, "name": "Resize Image"},
+    "ImageUpscaleWithModelBatched": {"class": ImageUpscaleWithModelBatched, "name": "Image Upscale With Model Batched"},
+    "InsertImagesToBatchIndexed": {"class": InsertImagesToBatchIndexed, "name": "Insert Images To Batch Indexed"},
+    "LoadAndResizeImage": {"class": LoadAndResizeImage, "name": "Load & Resize Image"},
+    "LoadImagesFromFolderKJ": {"class": LoadImagesFromFolderKJ, "name": "Load Images From Folder (KJ)"},
+    "MergeImageChannels": {"class": MergeImageChannels, "name": "Merge Image Channels"},
+    "PreviewAnimation": {"class": PreviewAnimation, "name": "Preview Animation"},
+    "RemapImageRange": {"class": RemapImageRange, "name": "Remap Image Range"},
+    "ReverseImageBatch": {"class": ReverseImageBatch, "name": "Reverse Image Batch"},
+    "ReplaceImagesInBatch": {"class": ReplaceImagesInBatch, "name": "Replace Images In Batch"},
+    "SaveImageWithAlpha": {"class": SaveImageWithAlpha, "name": "Save Image With Alpha"},
+    "SplitImageChannels": {"class": SplitImageChannels, "name": "Split Image Channels"},    
+    #batch cropping
+    "BatchCropFromMask": {"class": BatchCropFromMask, "name": "Batch Crop From Mask"},
+    "BatchCropFromMaskAdvanced": {"class": BatchCropFromMaskAdvanced, "name": "Batch Crop From Mask Advanced"},
+    "FilterZeroMasksAndCorrespondingImages": {"class": FilterZeroMasksAndCorrespondingImages},
+    "InsertImageBatchByIndexes": {"class": InsertImageBatchByIndexes, "name": "Insert Image Batch By Indexes"},
+    "BatchUncrop": {"class": BatchUncrop, "name": "Batch Uncrop"},
+    "BatchUncropAdvanced": {"class": BatchUncropAdvanced, "name": "Batch Uncrop Advanced"},
+    "SplitBboxes": {"class": SplitBboxes, "name": "Split Bboxes"},
+    "BboxToInt": {"class": BboxToInt, "name": "Bbox To Int"},
+    "BboxVisualize": {"class": BboxVisualize, "name": "Bbox Visualize"},
+    #noise
+    "GenerateNoise": {"class": GenerateNoise, "name": "Generate Noise"},
+    "FlipSigmasAdjusted": {"class": FlipSigmasAdjusted, "name": "Flip Sigmas Adjusted"},
+    "InjectNoiseToLatent": {"class": InjectNoiseToLatent, "name": "Inject Noise To Latent"},
+    "CustomSigmas": {"class": CustomSigmas, "name": "Custom Sigmas"},
+    #utility
+    "WidgetToString": {"class": WidgetToString, "name": "Widget To String"},
+    "DummyOut": {"class": DummyOut, "name": "Dummy Out"},
+    "GetLatentsFromBatchIndexed": {"class": GetLatentsFromBatchIndexed, "name": "Get Latents From Batch Indexed"},
+    "ScaleBatchPromptSchedule": {"class": ScaleBatchPromptSchedule, "name": "Scale Batch Prompt Schedule"},
+    "CameraPoseVisualizer": {"class": CameraPoseVisualizer, "name": "Camera Pose Visualizer"},
+    "JoinStrings": {"class": JoinStrings, "name": "Join Strings"},
+    "JoinStringMulti": {"class": JoinStringMulti, "name": "Join String Multi"},
+    "SomethingToString": {"class": SomethingToString, "name": "Something To String"},
+    "Sleep": {"class": Sleep, "name": "Sleep"},
+    "VRAM_Debug": {"class": VRAM_Debug, "name": "VRAM Debug"},
+    "SomethingToString": {"class": SomethingToString, "name": "Something To String"},
+    "EmptyLatentImagePresets": {"class": EmptyLatentImagePresets, "name": "Empty Latent Image Presets"},
+    "ModelPassThrough": {"class": ModelPassThrough, "name": "ModelPass"},
+    #audioscheduler stuff
+    "NormalizedAmplitudeToMask": {"class": NormalizedAmplitudeToMask},
+    "NormalizedAmplitudeToFloatList": {"class": NormalizedAmplitudeToFloatList},
+    "OffsetMaskByNormalizedAmplitude": {"class": OffsetMaskByNormalizedAmplitude},
+    "ImageTransformByNormalizedAmplitude": {"class": ImageTransformByNormalizedAmplitude},
+    #curve nodes
+    "SplineEditor": {"class": SplineEditor, "name": "Spline Editor"},
+    "CreateShapeImageOnPath": {"class": CreateShapeImageOnPath, "name": "Create Shape Image On Path"},
+    "CreateShapeMaskOnPath": {"class": CreateShapeMaskOnPath, "name": "Create Shape Mask On Path"},
+    "CreateTextOnPath": {"class": CreateTextOnPath, "name": "Create Text On Path"},
+    "CreateGradientFromCoords": {"class": CreateGradientFromCoords, "name": "Create Gradient From Coords"},
+    "GradientToFloat": {"class": GradientToFloat, "name": "Gradient To Float"},
+    "WeightScheduleExtend": {"class": WeightScheduleExtend, "name": "Weight Schedule Extend"},
+    "MaskOrImageToWeight": {"class": MaskOrImageToWeight, "name": "Mask Or Image To Weight"},
+    "WeightScheduleConvert": {"class": WeightScheduleConvert, "name": "Weight Schedule Convert"},
+    "FloatToMask": {"class": FloatToMask, "name": "Float To Mask"},
+    "FloatToSigmas": {"class": FloatToSigmas, "name": "Float To Sigmas"},
+    "PlotCoordinates": {"class": PlotCoordinates, "name": "Plot Coordinates"},
+    "InterpolateCoords": {"class": InterpolateCoords, "name": "Interpolate Coords"},
+    "PointsEditor": {"class": PointsEditor, "name": "Points Editor"},
+    #experimental
+    "StabilityAPI_SD3": {"class": StabilityAPI_SD3, "name": "Stability API SD3"},
+    "SoundReactive": {"class": SoundReactive, "name": "Sound Reactive"},
+    "StableZero123_BatchSchedule": {"class": StableZero123_BatchSchedule, "name": "Stable Zero123 Batch Schedule"},
+    "SV3D_BatchSchedule": {"class": SV3D_BatchSchedule, "name": "SV3D Batch Schedule"},
+    "LoadResAdapterNormalization": {"class": LoadResAdapterNormalization},
+    "Superprompt": {"class": Superprompt, "name": "Superprompt"},
+    "GLIGENTextBoxApplyBatchCoords": {"class": GLIGENTextBoxApplyBatchCoords},
+    "Intrinsic_lora_sampling": {"class": Intrinsic_lora_sampling, "name": "Intrinsic Lora Sampling"},
+    "CheckpointPerturbWeights": {"class": CheckpointPerturbWeights, "name": "CheckpointPerturbWeights"},
+    "Screencap_mss": {"class": Screencap_mss, "name": "Screencap mss"},
+    "WebcamCaptureCV2": {"class": WebcamCaptureCV2, "name": "Webcam Capture CV2"},
+    "DifferentialDiffusionAdvanced": {"class": DifferentialDiffusionAdvanced, "name": "Differential Diffusion Advanced"},
+    "FluxBlockLoraLoader": {"class": FluxBlockLoraLoader, "name": "Flux Block Lora Loader"},
+    "FluxBlockLoraSelect": {"class": FluxBlockLoraSelect, "name": "Flux Block Lora Select"},
+
+    #instance diffusion
+    "CreateInstanceDiffusionTracking": {"class": CreateInstanceDiffusionTracking},
+    "AppendInstanceDiffusionTracking": {"class": AppendInstanceDiffusionTracking},
+    "DrawInstanceDiffusionTracking": {"class": DrawInstanceDiffusionTracking},
+}
+
+def generate_node_mappings(node_config):
+    node_class_mappings = {}
+    node_display_name_mappings = {}
+
+    for node_name, node_info in node_config.items():
+        node_class_mappings[node_name] = node_info["class"]
+        node_display_name_mappings[node_name] = node_info.get("name", node_info["class"].__name__)
+
+    return node_class_mappings, node_display_name_mappings
+
+NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS = generate_node_mappings(NODE_CONFIG)
+
+__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]
+
+WEB_DIRECTORY = "./web"
+
+from aiohttp import web
+from server import PromptServer
+from pathlib import Path
+
+if hasattr(PromptServer, "instance"):
+
+    # NOTE: we add an extra static path to avoid comfy mechanism
+    # that loads every script in web.
+    PromptServer.instance.app.add_routes(
+        [web.static("/kjweb_async", (Path(__file__).parent.absolute() / "kjweb_async").as_posix())]
+    )
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/__pycache__/__init__.cpython-310.pyc b/ComfyUI/custom_nodes/ComfyUI-KJNodes/__pycache__/__init__.cpython-310.pyc
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diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/config.json b/ComfyUI/custom_nodes/ComfyUI-KJNodes/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e44b55685c9f4e723dc50f6d854e29acc4ebafa6
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/config.json
@@ -0,0 +1,3 @@
+{
+    "sai_api_key": "your_api_key_here"
+}
\ No newline at end of file
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diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/fonts/TTNorms-Black.otf b/ComfyUI/custom_nodes/ComfyUI-KJNodes/fonts/TTNorms-Black.otf
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diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_albedo.safetensors b/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_albedo.safetensors
new file mode 100644
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--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_albedo.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d897f04ff2bb452e29a8f2a3c5c3cd5c55e95f314242cd645fbbe24a5ac59961
+size 6416109
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_depth.safetensors b/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_depth.safetensors
new file mode 100644
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--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_depth.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f199d6bf3180fe7271073c3769dcb764b40f35f41b30fcb183ae5bf4b6a9997f
+size 6416109
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_normal.safetensors b/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_normal.safetensors
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--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_normal.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02934db0a0b92a9cdda402e42548560beda7d31b268e561dbc6815551e876268
+size 6416109
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_shading.safetensors b/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_shading.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..5b8bbfcf7926ac3ecefe84229ca6de2fc1b523eb
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_lora_sd15_shading.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:635e998063a10211633edd3e4b1676201822cd67f790ec71dba5f32d8b625c8b
+size 6416109
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_loras.txt b/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_loras.txt
new file mode 100644
index 0000000000000000000000000000000000000000..62ee933763a8aa9e1b232d228717ac754ab22751
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/intrinsic_loras/intrinsic_loras.txt
@@ -0,0 +1,4 @@
+source for the loras:
+https://github.com/duxiaodan/intrinsic-lora
+
+Renamed and conveted to .safetensors
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/kjweb_async/marked.min.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/kjweb_async/marked.min.js
new file mode 100644
index 0000000000000000000000000000000000000000..2e66c369c388c135cc68d399861a737f4c5e68cd
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/kjweb_async/marked.min.js
@@ -0,0 +1,6 @@
+/**
+ * marked v12.0.1 - a markdown parser
+ * Copyright (c) 2011-2024, Christopher Jeffrey. (MIT Licensed)
+ * https://github.com/markedjs/marked
+ */
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).marked={})}(this,(function(e){"use strict";function t(){return{async:!1,breaks:!1,extensions:null,gfm:!0,hooks:null,pedantic:!1,renderer:null,silent:!1,tokenizer:null,walkTokens:null}}function n(t){e.defaults=t}e.defaults={async:!1,breaks:!1,extensions:null,gfm:!0,hooks:null,pedantic:!1,renderer:null,silent:!1,tokenizer:null,walkTokens:null};const s=/[&<>"']/,r=new RegExp(s.source,"g"),i=/[<>"']|&(?!(#\d{1,7}|#[Xx][a-fA-F0-9]{1,6}|\w+);)/,l=new RegExp(i.source,"g"),o={"&":"&amp;","<":"&lt;",">":"&gt;",'"':"&quot;","'":"&#39;"},a=e=>o[e];function c(e,t){if(t){if(s.test(e))return e.replace(r,a)}else if(i.test(e))return e.replace(l,a);return e}const h=/&(#(?:\d+)|(?:#x[0-9A-Fa-f]+)|(?:\w+));?/gi;function p(e){return 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n.length>=s.length?e.slice(s.length):e})).join("\n")}(e,t[3]||"");return{type:"code",raw:e,lang:t[2]?t[2].trim().replace(this.rules.inline.anyPunctuation,"$1"):t[2],text:n}}}heading(e){const t=this.rules.block.heading.exec(e);if(t){let e=t[2].trim();if(/#$/.test(e)){const t=x(e,"#");this.options.pedantic?e=t.trim():t&&!/ $/.test(t)||(e=t.trim())}return{type:"heading",raw:t[0],depth:t[1].length,text:e,tokens:this.lexer.inline(e)}}}hr(e){const t=this.rules.block.hr.exec(e);if(t)return{type:"hr",raw:t[0]}}blockquote(e){const t=this.rules.block.blockquote.exec(e);if(t){const e=x(t[0].replace(/^ *>[ \t]?/gm,""),"\n"),n=this.lexer.state.top;this.lexer.state.top=!0;const s=this.lexer.blockTokens(e);return this.lexer.state.top=n,{type:"blockquote",raw:t[0],tokens:s,text:e}}}list(e){let t=this.rules.block.list.exec(e);if(t){let n=t[1].trim();const s=n.length>1,r={type:"list",raw:"",ordered:s,start:s?+n.slice(0,-1):"",loose:!1,items:[]};n=s?`\\d{1,9}\\${n.slice(-1)}`:`\\${n}`,this.options.pedantic&&(n=s?n:"[*+-]");const i=new RegExp(`^( {0,3}${n})((?:[\t ][^\\n]*)?(?:\\n|$))`);let l="",o="",a=!1;for(;e;){let n=!1;if(!(t=i.exec(e)))break;if(this.rules.block.hr.test(e))break;l=t[0],e=e.substring(l.length);let s=t[2].split("\n",1)[0].replace(/^\t+/,(e=>" ".repeat(3*e.length))),c=e.split("\n",1)[0],h=0;this.options.pedantic?(h=2,o=s.trimStart()):(h=t[2].search(/[^ ]/),h=h>4?1:h,o=s.slice(h),h+=t[1].length);let p=!1;if(!s&&/^ *$/.test(c)&&(l+=c+"\n",e=e.substring(c.length+1),n=!0),!n){const t=new RegExp(`^ {0,${Math.min(3,h-1)}}(?:[*+-]|\\d{1,9}[.)])((?:[ \t][^\\n]*)?(?:\\n|$))`),n=new RegExp(`^ {0,${Math.min(3,h-1)}}((?:- *){3,}|(?:_ *){3,}|(?:\\* *){3,})(?:\\n+|$)`),r=new RegExp(`^ {0,${Math.min(3,h-1)}}(?:\`\`\`|~~~)`),i=new RegExp(`^ {0,${Math.min(3,h-1)}}#`);for(;e;){const 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{2,}|\\)\n(?!\s*$)/,B="\\p{P}\\p{S}",C=k(/^((?![*_])[\spunctuation])/,"u").replace(/punctuation/g,B).getRegex(),M=k(/^(?:\*+(?:((?!\*)[punct])|[^\s*]))|^_+(?:((?!_)[punct])|([^\s_]))/,"u").replace(/punct/g,B).getRegex(),O=k("^[^_*]*?__[^_*]*?\\*[^_*]*?(?=__)|[^*]+(?=[^*])|(?!\\*)[punct](\\*+)(?=[\\s]|$)|[^punct\\s](\\*+)(?!\\*)(?=[punct\\s]|$)|(?!\\*)[punct\\s](\\*+)(?=[^punct\\s])|[\\s](\\*+)(?!\\*)(?=[punct])|(?!\\*)[punct](\\*+)(?!\\*)(?=[punct])|[^punct\\s](\\*+)(?=[^punct\\s])","gu").replace(/punct/g,B).getRegex(),D=k("^[^_*]*?\\*\\*[^_*]*?_[^_*]*?(?=\\*\\*)|[^_]+(?=[^_])|(?!_)[punct](_+)(?=[\\s]|$)|[^punct\\s](_+)(?!_)(?=[punct\\s]|$)|(?!_)[punct\\s](_+)(?=[^punct\\s])|[\\s](_+)(?!_)(?=[punct])|(?!_)[punct](_+)(?!_)(?=[punct])","gu").replace(/punct/g,B).getRegex(),j=k(/\\([punct])/,"gu").replace(/punct/g,B).getRegex(),H=k(/^<(scheme:[^\s\x00-\x1f<>]*|email)>/).replace("scheme",/[a-zA-Z][a-zA-Z0-9+.-]{1,31}/).replace("email",/[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+(@)[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)+(?![-_])/).getRegex(),U=k(S).replace("(?:--\x3e|$)","--\x3e").getRegex(),X=k("^comment|^</[a-zA-Z][\\w:-]*\\s*>|^<[a-zA-Z][\\w-]*(?:attribute)*?\\s*/?>|^<\\?[\\s\\S]*?\\?>|^<![a-zA-Z]+\\s[\\s\\S]*?>|^<!\\[CDATA\\[[\\s\\S]*?\\]\\]>").replace("comment",U).replace("attribute",/\s+[a-zA-Z:_][\w.:-]*(?:\s*=\s*"[^"]*"|\s*=\s*'[^']*'|\s*=\s*[^\s"'=<>`]+)?/).getRegex(),F=/(?:\[(?:\\.|[^\[\]\\])*\]|\\.|`[^`]*`|[^\[\]\\`])*?/,N=k(/^!?\[(label)\]\(\s*(href)(?:\s+(title))?\s*\)/).replace("label",F).replace("href",/<(?:\\.|[^\n<>\\])+>|[^\s\x00-\x1f]*/).replace("title",/"(?:\\"?|[^"\\])*"|'(?:\\'?|[^'\\])*'|\((?:\\\)?|[^)\\])*\)/).getRegex(),G=k(/^!?\[(label)\]\[(ref)\]/).replace("label",F).replace("ref",T).getRegex(),J=k(/^!?\[(ref)\](?:\[\])?/).replace("ref",T).getRegex(),K={_backpedal:f,anyPunctuation:j,autolink:H,blockSkip:/\[[^[\]]*?\]\([^\(\)]*?\)|`[^`]*?`|<[^<>]*?>/g,br:v,code:/^(`+)([^`]|[^`][\s\S]*?[^`])\1(?!`)/,del:f,emStrongLDelim:M,emStrongRDelimAst:O,emStrongRDelimUnd:D,escape:Q,link:N,nolink:J,punctuation:C,reflink:G,reflinkSearch:k("reflink|nolink(?!\\()","g").replace("reflink",G).replace("nolink",J).getRegex(),tag:X,text:/^(`+|[^`])(?:(?= {2,}\n)|[\s\S]*?(?:(?=[\\<!\[`*_]|\b_|$)|[^ ](?= {2,}\n)))/,url:f},V={...K,link:k(/^!?\[(label)\]\((.*?)\)/).replace("label",F).getRegex(),reflink:k(/^!?\[(label)\]\s*\[([^\]]*)\]/).replace("label",F).getRegex()},W={...K,escape:k(Q).replace("])","~|])").getRegex(),url:k(/^((?:ftp|https?):\/\/|www\.)(?:[a-zA-Z0-9\-]+\.?)+[^\s<]*|^email/,"i").replace("email",/[A-Za-z0-9._+-]+(@)[a-zA-Z0-9-_]+(?:\.[a-zA-Z0-9-_]*[a-zA-Z0-9])+(?![-_])/).getRegex(),_backpedal:/(?:[^?!.,:;*_'"~()&]+|\([^)]*\)|&(?![a-zA-Z0-9]+;$)|[?!.,:;*_'"~)]+(?!$))+/,del:/^(~~?)(?=[^\s~])([\s\S]*?[^\s~])\1(?=[^~]|$)/,text:/^([`~]+|[^`~])(?:(?= {2,}\n)|(?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)|[\s\S]*?(?:(?=[\\<!\[`*~_]|\b_|https?:\/\/|ftp:\/\/|www\.|$)|[^ ](?= {2,}\n)|[^a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-](?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)))/},Y={...W,br:k(v).replace("{2,}","*").getRegex(),text:k(W.text).replace("\\b_","\\b_| {2,}\\n").replace(/\{2,\}/g,"*").getRegex()},ee={normal:q,gfm:L,pedantic:P},te={normal:K,gfm:W,breaks:Y,pedantic:V};class ne{tokens;options;state;tokenizer;inlineQueue;constructor(t){this.tokens=[],this.tokens.links=Object.create(null),this.options=t||e.defaults,this.options.tokenizer=this.options.tokenizer||new w,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};const n={block:ee.normal,inline:te.normal};this.options.pedantic?(n.block=ee.pedantic,n.inline=te.pedantic):this.options.gfm&&(n.block=ee.gfm,this.options.breaks?n.inline=te.breaks:n.inline=te.gfm),this.tokenizer.rules=n}static get rules(){return{block:ee,inline:te}}static lex(e,t){return new ne(t).lex(e)}static lexInline(e,t){return new ne(t).inlineTokens(e)}lex(e){e=e.replace(/\r\n|\r/g,"\n"),this.blockTokens(e,this.tokens);for(let e=0;e<this.inlineQueue.length;e++){const t=this.inlineQueue[e];this.inlineTokens(t.src,t.tokens)}return this.inlineQueue=[],this.tokens}blockTokens(e,t=[]){let n,s,r,i;for(e=this.options.pedantic?e.replace(/\t/g,"    ").replace(/^ +$/gm,""):e.replace(/^( *)(\t+)/gm,((e,t,n)=>t+"    ".repeat(n.length)));e;)if(!(this.options.extensions&&this.options.extensions.block&&this.options.extensions.block.some((s=>!!(n=s.call({lexer:this},e,t))&&(e=e.substring(n.raw.length),t.push(n),!0)))))if(n=this.tokenizer.space(e))e=e.substring(n.raw.length),1===n.raw.length&&t.length>0?t[t.length-1].raw+="\n":t.push(n);else if(n=this.tokenizer.code(e))e=e.substring(n.raw.length),s=t[t.length-1],!s||"paragraph"!==s.type&&"text"!==s.type?t.push(n):(s.raw+="\n"+n.raw,s.text+="\n"+n.text,this.inlineQueue[this.inlineQueue.length-1].src=s.text);else if(n=this.tokenizer.fences(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.heading(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.hr(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.blockquote(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.list(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.html(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.def(e))e=e.substring(n.raw.length),s=t[t.length-1],!s||"paragraph"!==s.type&&"text"!==s.type?this.tokens.links[n.tag]||(this.tokens.links[n.tag]={href:n.href,title:n.title}):(s.raw+="\n"+n.raw,s.text+="\n"+n.raw,this.inlineQueue[this.inlineQueue.length-1].src=s.text);else if(n=this.tokenizer.table(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.lheading(e))e=e.substring(n.raw.length),t.push(n);else{if(r=e,this.options.extensions&&this.options.extensions.startBlock){let t=1/0;const n=e.slice(1);let s;this.options.extensions.startBlock.forEach((e=>{s=e.call({lexer:this},n),"number"==typeof s&&s>=0&&(t=Math.min(t,s))})),t<1/0&&t>=0&&(r=e.substring(0,t+1))}if(this.state.top&&(n=this.tokenizer.paragraph(r)))s=t[t.length-1],i&&"paragraph"===s.type?(s.raw+="\n"+n.raw,s.text+="\n"+n.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=s.text):t.push(n),i=r.length!==e.length,e=e.substring(n.raw.length);else if(n=this.tokenizer.text(e))e=e.substring(n.raw.length),s=t[t.length-1],s&&"text"===s.type?(s.raw+="\n"+n.raw,s.text+="\n"+n.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=s.text):t.push(n);else if(e){const t="Infinite loop on byte: "+e.charCodeAt(0);if(this.options.silent){console.error(t);break}throw new Error(t)}}return this.state.top=!0,t}inline(e,t=[]){return this.inlineQueue.push({src:e,tokens:t}),t}inlineTokens(e,t=[]){let n,s,r,i,l,o,a=e;if(this.tokens.links){const e=Object.keys(this.tokens.links);if(e.length>0)for(;null!=(i=this.tokenizer.rules.inline.reflinkSearch.exec(a));)e.includes(i[0].slice(i[0].lastIndexOf("[")+1,-1))&&(a=a.slice(0,i.index)+"["+"a".repeat(i[0].length-2)+"]"+a.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;null!=(i=this.tokenizer.rules.inline.blockSkip.exec(a));)a=a.slice(0,i.index)+"["+"a".repeat(i[0].length-2)+"]"+a.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);for(;null!=(i=this.tokenizer.rules.inline.anyPunctuation.exec(a));)a=a.slice(0,i.index)+"++"+a.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);for(;e;)if(l||(o=""),l=!1,!(this.options.extensions&&this.options.extensions.inline&&this.options.extensions.inline.some((s=>!!(n=s.call({lexer:this},e,t))&&(e=e.substring(n.raw.length),t.push(n),!0)))))if(n=this.tokenizer.escape(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.tag(e))e=e.substring(n.raw.length),s=t[t.length-1],s&&"text"===n.type&&"text"===s.type?(s.raw+=n.raw,s.text+=n.text):t.push(n);else if(n=this.tokenizer.link(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.reflink(e,this.tokens.links))e=e.substring(n.raw.length),s=t[t.length-1],s&&"text"===n.type&&"text"===s.type?(s.raw+=n.raw,s.text+=n.text):t.push(n);else if(n=this.tokenizer.emStrong(e,a,o))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.codespan(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.br(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.del(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.autolink(e))e=e.substring(n.raw.length),t.push(n);else if(this.state.inLink||!(n=this.tokenizer.url(e))){if(r=e,this.options.extensions&&this.options.extensions.startInline){let t=1/0;const n=e.slice(1);let s;this.options.extensions.startInline.forEach((e=>{s=e.call({lexer:this},n),"number"==typeof s&&s>=0&&(t=Math.min(t,s))})),t<1/0&&t>=0&&(r=e.substring(0,t+1))}if(n=this.tokenizer.inlineText(r))e=e.substring(n.raw.length),"_"!==n.raw.slice(-1)&&(o=n.raw.slice(-1)),l=!0,s=t[t.length-1],s&&"text"===s.type?(s.raw+=n.raw,s.text+=n.text):t.push(n);else if(e){const t="Infinite loop on byte: "+e.charCodeAt(0);if(this.options.silent){console.error(t);break}throw new Error(t)}}else e=e.substring(n.raw.length),t.push(n);return t}}class se{options;constructor(t){this.options=t||e.defaults}code(e,t,n){const s=(t||"").match(/^\S*/)?.[0];return e=e.replace(/\n$/,"")+"\n",s?'<pre><code class="language-'+c(s)+'">'+(n?e:c(e,!0))+"</code></pre>\n":"<pre><code>"+(n?e:c(e,!0))+"</code></pre>\n"}blockquote(e){return`<blockquote>\n${e}</blockquote>\n`}html(e,t){return e}heading(e,t,n){return`<h${t}>${e}</h${t}>\n`}hr(){return"<hr>\n"}list(e,t,n){const s=t?"ol":"ul";return"<"+s+(t&&1!==n?' start="'+n+'"':"")+">\n"+e+"</"+s+">\n"}listitem(e,t,n){return`<li>${e}</li>\n`}checkbox(e){return"<input "+(e?'checked="" ':"")+'disabled="" type="checkbox">'}paragraph(e){return`<p>${e}</p>\n`}table(e,t){return t&&(t=`<tbody>${t}</tbody>`),"<table>\n<thead>\n"+e+"</thead>\n"+t+"</table>\n"}tablerow(e){return`<tr>\n${e}</tr>\n`}tablecell(e,t){const n=t.header?"th":"td";return(t.align?`<${n} align="${t.align}">`:`<${n}>`)+e+`</${n}>\n`}strong(e){return`<strong>${e}</strong>`}em(e){return`<em>${e}</em>`}codespan(e){return`<code>${e}</code>`}br(){return"<br>"}del(e){return`<del>${e}</del>`}link(e,t,n){const s=g(e);if(null===s)return n;let r='<a href="'+(e=s)+'"';return t&&(r+=' title="'+t+'"'),r+=">"+n+"</a>",r}image(e,t,n){const s=g(e);if(null===s)return n;let r=`<img src="${e=s}" alt="${n}"`;return t&&(r+=` title="${t}"`),r+=">",r}text(e){return e}}class re{strong(e){return e}em(e){return e}codespan(e){return e}del(e){return e}html(e){return e}text(e){return e}link(e,t,n){return""+n}image(e,t,n){return""+n}br(){return""}}class ie{options;renderer;textRenderer;constructor(t){this.options=t||e.defaults,this.options.renderer=this.options.renderer||new se,this.renderer=this.options.renderer,this.renderer.options=this.options,this.textRenderer=new re}static parse(e,t){return new ie(t).parse(e)}static parseInline(e,t){return new ie(t).parseInline(e)}parse(e,t=!0){let n="";for(let s=0;s<e.length;s++){const r=e[s];if(this.options.extensions&&this.options.extensions.renderers&&this.options.extensions.renderers[r.type]){const e=r,t=this.options.extensions.renderers[e.type].call({parser:this},e);if(!1!==t||!["space","hr","heading","code","table","blockquote","list","html","paragraph","text"].includes(e.type)){n+=t||"";continue}}switch(r.type){case"space":continue;case"hr":n+=this.renderer.hr();continue;case"heading":{const e=r;n+=this.renderer.heading(this.parseInline(e.tokens),e.depth,p(this.parseInline(e.tokens,this.textRenderer)));continue}case"code":{const e=r;n+=this.renderer.code(e.text,e.lang,!!e.escaped);continue}case"table":{const e=r;let t="",s="";for(let t=0;t<e.header.length;t++)s+=this.renderer.tablecell(this.parseInline(e.header[t].tokens),{header:!0,align:e.align[t]});t+=this.renderer.tablerow(s);let i="";for(let t=0;t<e.rows.length;t++){const n=e.rows[t];s="";for(let t=0;t<n.length;t++)s+=this.renderer.tablecell(this.parseInline(n[t].tokens),{header:!1,align:e.align[t]});i+=this.renderer.tablerow(s)}n+=this.renderer.table(t,i);continue}case"blockquote":{const e=r,t=this.parse(e.tokens);n+=this.renderer.blockquote(t);continue}case"list":{const e=r,t=e.ordered,s=e.start,i=e.loose;let l="";for(let t=0;t<e.items.length;t++){const n=e.items[t],s=n.checked,r=n.task;let o="";if(n.task){const e=this.renderer.checkbox(!!s);i?n.tokens.length>0&&"paragraph"===n.tokens[0].type?(n.tokens[0].text=e+" "+n.tokens[0].text,n.tokens[0].tokens&&n.tokens[0].tokens.length>0&&"text"===n.tokens[0].tokens[0].type&&(n.tokens[0].tokens[0].text=e+" "+n.tokens[0].tokens[0].text)):n.tokens.unshift({type:"text",text:e+" "}):o+=e+" "}o+=this.parse(n.tokens,i),l+=this.renderer.listitem(o,r,!!s)}n+=this.renderer.list(l,t,s);continue}case"html":{const e=r;n+=this.renderer.html(e.text,e.block);continue}case"paragraph":{const e=r;n+=this.renderer.paragraph(this.parseInline(e.tokens));continue}case"text":{let i=r,l=i.tokens?this.parseInline(i.tokens):i.text;for(;s+1<e.length&&"text"===e[s+1].type;)i=e[++s],l+="\n"+(i.tokens?this.parseInline(i.tokens):i.text);n+=t?this.renderer.paragraph(l):l;continue}default:{const e='Token with "'+r.type+'" type was not found.';if(this.options.silent)return console.error(e),"";throw new Error(e)}}}return n}parseInline(e,t){t=t||this.renderer;let n="";for(let s=0;s<e.length;s++){const r=e[s];if(this.options.extensions&&this.options.extensions.renderers&&this.options.extensions.renderers[r.type]){const e=this.options.extensions.renderers[r.type].call({parser:this},r);if(!1!==e||!["escape","html","link","image","strong","em","codespan","br","del","text"].includes(r.type)){n+=e||"";continue}}switch(r.type){case"escape":{const e=r;n+=t.text(e.text);break}case"html":{const e=r;n+=t.html(e.text);break}case"link":{const e=r;n+=t.link(e.href,e.title,this.parseInline(e.tokens,t));break}case"image":{const e=r;n+=t.image(e.href,e.title,e.text);break}case"strong":{const e=r;n+=t.strong(this.parseInline(e.tokens,t));break}case"em":{const e=r;n+=t.em(this.parseInline(e.tokens,t));break}case"codespan":{const e=r;n+=t.codespan(e.text);break}case"br":n+=t.br();break;case"del":{const e=r;n+=t.del(this.parseInline(e.tokens,t));break}case"text":{const e=r;n+=t.text(e.text);break}default:{const e='Token with "'+r.type+'" type was not found.';if(this.options.silent)return console.error(e),"";throw new Error(e)}}}return n}}class le{options;constructor(t){this.options=t||e.defaults}static passThroughHooks=new Set(["preprocess","postprocess","processAllTokens"]);preprocess(e){return e}postprocess(e){return e}processAllTokens(e){return e}}class oe{defaults={async:!1,breaks:!1,extensions:null,gfm:!0,hooks:null,pedantic:!1,renderer:null,silent:!1,tokenizer:null,walkTokens:null};options=this.setOptions;parse=this.#e(ne.lex,ie.parse);parseInline=this.#e(ne.lexInline,ie.parseInline);Parser=ie;Renderer=se;TextRenderer=re;Lexer=ne;Tokenizer=w;Hooks=le;constructor(...e){this.use(...e)}walkTokens(e,t){let n=[];for(const s of e)switch(n=n.concat(t.call(this,s)),s.type){case"table":{const e=s;for(const s of e.header)n=n.concat(this.walkTokens(s.tokens,t));for(const s of e.rows)for(const e of s)n=n.concat(this.walkTokens(e.tokens,t));break}case"list":{const e=s;n=n.concat(this.walkTokens(e.items,t));break}default:{const e=s;this.defaults.extensions?.childTokens?.[e.type]?this.defaults.extensions.childTokens[e.type].forEach((s=>{const r=e[s].flat(1/0);n=n.concat(this.walkTokens(r,t))})):e.tokens&&(n=n.concat(this.walkTokens(e.tokens,t)))}}return n}use(...e){const t=this.defaults.extensions||{renderers:{},childTokens:{}};return e.forEach((e=>{const n={...e};if(n.async=this.defaults.async||n.async||!1,e.extensions&&(e.extensions.forEach((e=>{if(!e.name)throw new Error("extension name required");if("renderer"in e){const n=t.renderers[e.name];t.renderers[e.name]=n?function(...t){let s=e.renderer.apply(this,t);return!1===s&&(s=n.apply(this,t)),s}:e.renderer}if("tokenizer"in e){if(!e.level||"block"!==e.level&&"inline"!==e.level)throw new Error("extension level must be 'block' or 'inline'");const 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diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/kjweb_async/protovis.min.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/kjweb_async/protovis.min.js
new file mode 100644
index 0000000000000000000000000000000000000000..dfb84166521a49e4f7e41539933b101e126bd72f
--- /dev/null
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+pv.logSymmetric=function(b,c){return b==0?0:b<0?-pv.log(-b,c):pv.log(b,c)};pv.logAdjusted=function(b,c){if(!isFinite(b))return b;var d=b<0;if(b<c)b+=(c-b)/c;return d?-pv.log(b,c):pv.log(b,c)};pv.logFloor=function(b,c){return b>0?Math.pow(c,Math.floor(pv.log(b,c))):-Math.pow(c,-Math.floor(-pv.log(-b,c)))};pv.logCeil=function(b,c){return b>0?Math.pow(c,Math.ceil(pv.log(b,c))):-Math.pow(c,-Math.ceil(-pv.log(-b,c)))};
+(function(){var b=Math.PI/180,c=180/Math.PI;pv.radians=function(d){return b*d};pv.degrees=function(d){return c*d}})();pv.keys=function(b){var c=[];for(var d in b)c.push(d);return c};pv.entries=function(b){var c=[];for(var d in b)c.push({key:d,value:b[d]});return c};pv.values=function(b){var c=[];for(var d in b)c.push(b[d]);return c};pv.dict=function(b,c){for(var d={},f={},g=0;g<b.length;g++)if(g in b){var h=b[g];f.index=g;d[h]=c.call(f,h)}return d};pv.dom=function(b){return new pv.Dom(b)};
+pv.Dom=function(b){this.$map=b};pv.Dom.prototype.$leaf=function(b){return typeof b!="object"};pv.Dom.prototype.leaf=function(b){if(arguments.length){this.$leaf=b;return this}return this.$leaf};pv.Dom.prototype.root=function(b){function c(g){var h=new pv.Dom.Node;for(var i in g){var j=g[i];h.appendChild(d(j)?new pv.Dom.Node(j):c(j)).nodeName=i}return h}var d=this.$leaf,f=c(this.$map);f.nodeName=b;return f};pv.Dom.prototype.nodes=function(){return this.root().nodes()};
+pv.Dom.Node=function(b){this.nodeValue=b;this.childNodes=[]};a=pv.Dom.Node.prototype;a.parentNode=null;a.firstChild=null;a.lastChild=null;a.previousSibling=null;a.nextSibling=null;
+a.removeChild=function(b){var c=this.childNodes.indexOf(b);if(c==-1)throw new Error("child not found");this.childNodes.splice(c,1);if(b.previousSibling)b.previousSibling.nextSibling=b.nextSibling;else this.firstChild=b.nextSibling;if(b.nextSibling)b.nextSibling.previousSibling=b.previousSibling;else this.lastChild=b.previousSibling;delete b.nextSibling;delete b.previousSibling;delete b.parentNode;return b};
+a.appendChild=function(b){b.parentNode&&b.parentNode.removeChild(b);b.parentNode=this;if(b.previousSibling=this.lastChild)this.lastChild.nextSibling=b;else this.firstChild=b;this.lastChild=b;this.childNodes.push(b);return b};
+a.insertBefore=function(b,c){if(!c)return this.appendChild(b);var d=this.childNodes.indexOf(c);if(d==-1)throw new Error("child not found");b.parentNode&&b.parentNode.removeChild(b);b.parentNode=this;b.nextSibling=c;if(b.previousSibling=c.previousSibling)c.previousSibling.nextSibling=b;else{if(c==this.lastChild)this.lastChild=b;this.firstChild=b}this.childNodes.splice(d,0,b);return b};
+a.replaceChild=function(b,c){var d=this.childNodes.indexOf(c);if(d==-1)throw new Error("child not found");b.parentNode&&b.parentNode.removeChild(b);b.parentNode=this;b.nextSibling=c.nextSibling;if(b.previousSibling=c.previousSibling)c.previousSibling.nextSibling=b;else this.firstChild=b;if(c.nextSibling)c.nextSibling.previousSibling=b;else this.lastChild=b;this.childNodes[d]=b;return c};a.visitBefore=function(b){function c(d,f){b(d,f);for(d=d.firstChild;d;d=d.nextSibling)c(d,f+1)}c(this,0)};
+a.visitAfter=function(b){function c(d,f){for(var g=d.firstChild;g;g=g.nextSibling)c(g,f+1);b(d,f)}c(this,0)};a.sort=function(b){if(this.firstChild){this.childNodes.sort(b);var c=this.firstChild=this.childNodes[0],d;delete c.previousSibling;for(var f=1;f<this.childNodes.length;f++){c.sort(b);d=this.childNodes[f];d.previousSibling=c;c=c.nextSibling=d}this.lastChild=c;delete c.nextSibling;c.sort(b)}return this};
+a.reverse=function(){var b=[];this.visitAfter(function(c){for(;c.lastChild;)b.push(c.removeChild(c.lastChild));for(var d;d=b.pop();)c.insertBefore(d,c.firstChild)});return this};a.nodes=function(){function b(d){c.push(d);d.childNodes.forEach(b)}var c=[];b(this,c);return c};
+a.toggle=function(b){if(b)return this.toggled?this.visitBefore(function(d){d.toggled&&d.toggle()}):this.visitAfter(function(d){d.toggled||d.toggle()});b=this;if(b.toggled){for(var c;c=b.toggled.pop();)b.appendChild(c);delete b.toggled}else if(b.lastChild)for(b.toggled=[];b.lastChild;)b.toggled.push(b.removeChild(b.lastChild))};pv.nodes=function(b){for(var c=new pv.Dom.Node,d=0;d<b.length;d++)c.appendChild(new pv.Dom.Node(b[d]));return c.nodes()};pv.tree=function(b){return new pv.Tree(b)};
+pv.Tree=function(b){this.array=b};pv.Tree.prototype.keys=function(b){this.k=b;return this};pv.Tree.prototype.value=function(b){this.v=b;return this};pv.Tree.prototype.map=function(){for(var b={},c={},d=0;d<this.array.length;d++){c.index=d;for(var f=this.array[d],g=this.k.call(c,f),h=b,i=0;i<g.length-1;i++)h=h[g[i]]||(h[g[i]]={});h[g[i]]=this.v?this.v.call(c,f):f}return b};pv.nest=function(b){return new pv.Nest(b)};pv.Nest=function(b){this.array=b;this.keys=[]};a=pv.Nest.prototype;
+a.key=function(b){this.keys.push(b);return this};a.sortKeys=function(b){this.keys[this.keys.length-1].order=b||pv.naturalOrder;return this};a.sortValues=function(b){this.order=b||pv.naturalOrder;return this};a.map=function(){for(var b={},c=[],d,f=0;f<this.array.length;f++){var g=this.array[f],h=b;for(d=0;d<this.keys.length-1;d++){var i=this.keys[d](g);h[i]||(h[i]={});h=h[i]}i=this.keys[d](g);if(!h[i]){d=[];c.push(d);h[i]=d}h[i].push(g)}if(this.order)for(d=0;d<c.length;d++)c[d].sort(this.order);return b};
+a.entries=function(){function b(d){var f=[];for(var g in d){var h=d[g];f.push({key:g,values:h instanceof Array?h:b(h)})}return f}function c(d,f){var g=this.keys[f].order;g&&d.sort(function(i,j){return g(i.key,j.key)});if(++f<this.keys.length)for(var h=0;h<d.length;h++)c.call(this,d[h].values,f);return d}return c.call(this,b(this.map()),0)};a.rollup=function(b){function c(d){for(var f in d){var g=d[f];if(g instanceof Array)d[f]=b(g);else c(g)}return d}return c(this.map())};pv.flatten=function(b){return new pv.Flatten(b)};
+pv.Flatten=function(b){this.map=b;this.keys=[]};pv.Flatten.prototype.key=function(b,c){this.keys.push({name:b,value:c});delete this.$leaf;return this};pv.Flatten.prototype.leaf=function(b){this.keys.length=0;this.$leaf=b;return this};
+pv.Flatten.prototype.array=function(){function b(i,j){if(j<f.length-1)for(var k in i){d.push(k);b(i[k],j+1);d.pop()}else c.push(d.concat(i))}var c=[],d=[],f=this.keys,g=this.$leaf;if(g){function h(i,j){if(g(i))c.push({keys:d.slice(),value:i});else for(var k in i){d.push(k);h(i[k],j+1);d.pop()}}h(this.map,0);return c}b(this.map,0);return c.map(function(i){for(var j={},k=0;k<f.length;k++){var l=f[k],q=i[k];j[l.name]=l.value?l.value.call(null,q):q}return j})};
+pv.vector=function(b,c){return new pv.Vector(b,c)};pv.Vector=function(b,c){this.x=b;this.y=c};a=pv.Vector.prototype;a.perp=function(){return new pv.Vector(-this.y,this.x)};a.norm=function(){var b=this.length();return this.times(b?1/b:1)};a.length=function(){return Math.sqrt(this.x*this.x+this.y*this.y)};a.times=function(b){return new pv.Vector(this.x*b,this.y*b)};a.plus=function(b,c){return arguments.length==1?new pv.Vector(this.x+b.x,this.y+b.y):new pv.Vector(this.x+b,this.y+c)};
+a.minus=function(b,c){return arguments.length==1?new pv.Vector(this.x-b.x,this.y-b.y):new pv.Vector(this.x-b,this.y-c)};a.dot=function(b,c){return arguments.length==1?this.x*b.x+this.y*b.y:this.x*b+this.y*c};pv.Transform=function(){};pv.Transform.prototype={k:1,x:0,y:0};pv.Transform.identity=new pv.Transform;pv.Transform.prototype.translate=function(b,c){var d=new pv.Transform;d.k=this.k;d.x=this.k*b+this.x;d.y=this.k*c+this.y;return d};
+pv.Transform.prototype.scale=function(b){var c=new pv.Transform;c.k=this.k*b;c.x=this.x;c.y=this.y;return c};pv.Transform.prototype.invert=function(){var b=new pv.Transform,c=1/this.k;b.k=c;b.x=-this.x*c;b.y=-this.y*c;return b};pv.Transform.prototype.times=function(b){var c=new pv.Transform;c.k=this.k*b.k;c.x=this.k*b.x+this.x;c.y=this.k*b.y+this.y;return c};pv.Scale=function(){};
+pv.Scale.interpolator=function(b,c){if(typeof b=="number")return function(d){return d*(c-b)+b};b=pv.color(b).rgb();c=pv.color(c).rgb();return function(d){var f=b.a*(1-d)+c.a*d;if(f<1.0E-5)f=0;return b.a==0?pv.rgb(c.r,c.g,c.b,f):c.a==0?pv.rgb(b.r,b.g,b.b,f):pv.rgb(Math.round(b.r*(1-d)+c.r*d),Math.round(b.g*(1-d)+c.g*d),Math.round(b.b*(1-d)+c.b*d),f)}};
+pv.Scale.quantitative=function(){function b(n){return new Date(n)}function c(n){var p=pv.search(d,n);if(p<0)p=-p-2;p=Math.max(0,Math.min(h.length-1,p));return h[p]((k(n)-f[p])/(f[p+1]-f[p]))}var d=[0,1],f=[0,1],g=[0,1],h=[pv.identity],i=Number,j=false,k=pv.identity,l=pv.identity,q=String;c.transform=function(n,p){k=function(m){return j?-n(-m):n(m)};l=function(m){return j?-p(-m):p(m)};f=d.map(k);return this};c.domain=function(n,p,m){if(arguments.length){var r;if(n instanceof Array){if(arguments.length<
+2)p=pv.identity;if(arguments.length<3)m=p;r=n.length&&p(n[0]);d=n.length?[pv.min(n,p),pv.max(n,m)]:[]}else{r=n;d=Array.prototype.slice.call(arguments).map(Number)}if(d.length){if(d.length==1)d=[d[0],d[0]]}else d=[-Infinity,Infinity];j=(d[0]||d[d.length-1])<0;f=d.map(k);i=r instanceof Date?b:Number;return this}return d.map(i)};c.range=function(){if(arguments.length){g=Array.prototype.slice.call(arguments);if(g.length){if(g.length==1)g=[g[0],g[0]]}else g=[-Infinity,Infinity];h=[];for(var n=0;n<g.length-
+1;n++)h.push(pv.Scale.interpolator(g[n],g[n+1]));return this}return g};c.invert=function(n){var p=pv.search(g,n);if(p<0)p=-p-2;p=Math.max(0,Math.min(h.length-1,p));return i(l(f[p]+(n-g[p])/(g[p+1]-g[p])*(f[p+1]-f[p])))};c.ticks=function(n){var p=d[0],m=d[d.length-1],r=m<p,s=r?m:p;m=r?p:m;var t=m-s;if(!t||!isFinite(t)){if(i==b)q=pv.Format.date("%x");return[i(s)]}if(i==b){function x(w,y){switch(y){case 31536E6:w.setMonth(0);case 2592E6:w.setDate(1);case 6048E5:y==6048E5&&w.setDate(w.getDate()-w.getDay());
+case 864E5:w.setHours(0);case 36E5:w.setMinutes(0);case 6E4:w.setSeconds(0);case 1E3:w.setMilliseconds(0)}}var u,o,v=1;if(t>=94608E6){p=31536E6;u="%Y";o=function(w){w.setFullYear(w.getFullYear()+v)}}else if(t>=7776E6){p=2592E6;u="%m/%Y";o=function(w){w.setMonth(w.getMonth()+v)}}else if(t>=18144E5){p=6048E5;u="%m/%d";o=function(w){w.setDate(w.getDate()+7*v)}}else if(t>=2592E5){p=864E5;u="%m/%d";o=function(w){w.setDate(w.getDate()+v)}}else if(t>=108E5){p=36E5;u="%I:%M %p";o=function(w){w.setHours(w.getHours()+
+v)}}else if(t>=18E4){p=6E4;u="%I:%M %p";o=function(w){w.setMinutes(w.getMinutes()+v)}}else if(t>=3E3){p=1E3;u="%I:%M:%S";o=function(w){w.setSeconds(w.getSeconds()+v)}}else{p=1;u="%S.%Qs";o=function(w){w.setTime(w.getTime()+v)}}q=pv.Format.date(u);s=new Date(s);u=[];x(s,p);t=t/p;if(t>10)switch(p){case 36E5:v=t>20?6:3;s.setHours(Math.floor(s.getHours()/v)*v);break;case 2592E6:v=3;s.setMonth(Math.floor(s.getMonth()/v)*v);break;case 6E4:v=t>30?15:t>15?10:5;s.setMinutes(Math.floor(s.getMinutes()/v)*v);
+break;case 1E3:v=t>90?15:t>60?10:5;s.setSeconds(Math.floor(s.getSeconds()/v)*v);break;case 1:v=t>1E3?250:t>200?100:t>100?50:t>50?25:5;s.setMilliseconds(Math.floor(s.getMilliseconds()/v)*v);break;default:v=pv.logCeil(t/15,10);if(t/v<2)v/=5;else if(t/v<5)v/=2;s.setFullYear(Math.floor(s.getFullYear()/v)*v);break}for(;;){o(s);if(s>m)break;u.push(new Date(s))}return r?u.reverse():u}arguments.length||(n=10);v=pv.logFloor(t/n,10);p=n/(t/v);if(p<=0.15)v*=10;else if(p<=0.35)v*=5;else if(p<=0.75)v*=2;p=Math.ceil(s/
+v)*v;m=Math.floor(m/v)*v;q=pv.Format.number().fractionDigits(Math.max(0,-Math.floor(pv.log(v,10)+0.01)));m=pv.range(p,m+v,v);return r?m.reverse():m};c.tickFormat=function(n){return q(n)};c.nice=function(){if(d.length!=2)return this;var n=d[0],p=d[d.length-1],m=p<n,r=m?p:n;n=m?n:p;p=n-r;if(!p||!isFinite(p))return this;p=Math.pow(10,Math.round(Math.log(p)/Math.log(10))-1);d=[Math.floor(r/p)*p,Math.ceil(n/p)*p];m&&d.reverse();f=d.map(k);return this};c.by=function(n){function p(){return c(n.apply(this,
+arguments))}for(var m in c)p[m]=c[m];return p};c.domain.apply(c,arguments);return c};pv.Scale.linear=function(){var b=pv.Scale.quantitative();b.domain.apply(b,arguments);return b};
+pv.Scale.log=function(){var b=pv.Scale.quantitative(1,10),c,d,f=function(h){return Math.log(h)/d},g=function(h){return Math.pow(c,h)};b.ticks=function(){var h=b.domain(),i=h[0]<0,j=Math.floor(i?-f(-h[0]):f(h[0])),k=Math.ceil(i?-f(-h[1]):f(h[1])),l=[];if(i)for(l.push(-g(-j));j++<k;)for(i=c-1;i>0;i--)l.push(-g(-j)*i);else{for(;j<k;j++)for(i=1;i<c;i++)l.push(g(j)*i);l.push(g(j))}for(j=0;l[j]<h[0];j++);for(k=l.length;l[k-1]>h[1];k--);return l.slice(j,k)};b.tickFormat=function(h){return h.toPrecision(1)};
+b.nice=function(){var h=b.domain();return b.domain(pv.logFloor(h[0],c),pv.logCeil(h[1],c))};b.base=function(h){if(arguments.length){c=Number(h);d=Math.log(c);b.transform(f,g);return this}return c};b.domain.apply(b,arguments);return b.base(10)};pv.Scale.root=function(){var b=pv.Scale.quantitative();b.power=function(c){if(arguments.length){var d=Number(c),f=1/d;b.transform(function(g){return Math.pow(g,f)},function(g){return Math.pow(g,d)});return this}return d};b.domain.apply(b,arguments);return b.power(2)};
+pv.Scale.ordinal=function(){function b(g){g in d||(d[g]=c.push(g)-1);return f[d[g]%f.length]}var c=[],d={},f=[];b.domain=function(g,h){if(arguments.length){g=g instanceof Array?arguments.length>1?pv.map(g,h):g:Array.prototype.slice.call(arguments);c=[];for(var i={},j=0;j<g.length;j++){var k=g[j];if(!(k in i)){i[k]=true;c.push(k)}}d=pv.numerate(c);return this}return c};b.range=function(g,h){if(arguments.length){f=g instanceof Array?arguments.length>1?pv.map(g,h):g:Array.prototype.slice.call(arguments);
+if(typeof f[0]=="string")f=f.map(pv.color);return this}return f};b.split=function(g,h){var i=(h-g)/this.domain().length;f=pv.range(g+i/2,h,i);return this};b.splitFlush=function(g,h){var i=this.domain().length,j=(h-g)/(i-1);f=i==1?[(g+h)/2]:pv.range(g,h+j/2,j);return this};b.splitBanded=function(g,h,i){if(arguments.length<3)i=1;if(i<0){var j=this.domain().length;j=(h-g- -i*j)/(j+1);f=pv.range(g+j,h,j-i);f.band=-i}else{j=(h-g)/(this.domain().length+(1-i));f=pv.range(g+j*(1-i),h,j);f.band=j*i}return this};
+b.by=function(g){function h(){return b(g.apply(this,arguments))}for(var i in b)h[i]=b[i];return h};b.domain.apply(b,arguments);return b};
+pv.Scale.quantile=function(){function b(i){return h(Math.max(0,Math.min(d,pv.search.index(f,i)-1))/d)}var c=-1,d=-1,f=[],g=[],h=pv.Scale.linear();b.quantiles=function(i){if(arguments.length){c=Number(i);if(c<0){f=[g[0]].concat(g);d=g.length-1}else{f=[];f[0]=g[0];for(var j=1;j<=c;j++)f[j]=g[~~(j*(g.length-1)/c)];d=c-1}return this}return f};b.domain=function(i,j){if(arguments.length){g=i instanceof Array?pv.map(i,j):Array.prototype.slice.call(arguments);g.sort(pv.naturalOrder);b.quantiles(c);return this}return g};
+b.range=function(){if(arguments.length){h.range.apply(h,arguments);return this}return h.range()};b.by=function(i){function j(){return b(i.apply(this,arguments))}for(var k in b)j[k]=b[k];return j};b.domain.apply(b,arguments);return b};
+pv.histogram=function(b,c){var d=true;return{bins:function(f){var g=pv.map(b,c),h=[];arguments.length||(f=pv.Scale.linear(g).ticks());for(var i=0;i<f.length-1;i++){var j=h[i]=[];j.x=f[i];j.dx=f[i+1]-f[i];j.y=0}for(i=0;i<g.length;i++){j=pv.search.index(f,g[i])-1;j=h[Math.max(0,Math.min(h.length-1,j))];j.y++;j.push(b[i])}if(!d)for(i=0;i<h.length;i++)h[i].y/=g.length;return h},frequency:function(f){if(arguments.length){d=Boolean(f);return this}return d}}};
+pv.color=function(b){if(b.rgb)return b.rgb();var c=/([a-z]+)\((.*)\)/i.exec(b);if(c){var d=c[2].split(","),f=1;switch(c[1]){case "hsla":case "rgba":f=parseFloat(d[3]);if(!f)return pv.Color.transparent;break}switch(c[1]){case "hsla":case "hsl":b=parseFloat(d[0]);var g=parseFloat(d[1])/100;d=parseFloat(d[2])/100;return(new pv.Color.Hsl(b,g,d,f)).rgb();case "rgba":case "rgb":function h(k){var l=parseFloat(k);return k[k.length-1]=="%"?Math.round(l*2.55):l}g=h(d[0]);var i=h(d[1]),j=h(d[2]);return pv.rgb(g,
+i,j,f)}}if(f=pv.Color.names[b])return f;if(b.charAt(0)=="#"){if(b.length==4){g=b.charAt(1);g+=g;i=b.charAt(2);i+=i;j=b.charAt(3);j+=j}else if(b.length==7){g=b.substring(1,3);i=b.substring(3,5);j=b.substring(5,7)}return pv.rgb(parseInt(g,16),parseInt(i,16),parseInt(j,16),1)}return new pv.Color(b,1)};pv.Color=function(b,c){this.color=b;this.opacity=c};pv.Color.prototype.brighter=function(b){return this.rgb().brighter(b)};pv.Color.prototype.darker=function(b){return this.rgb().darker(b)};
+pv.rgb=function(b,c,d,f){return new pv.Color.Rgb(b,c,d,arguments.length==4?f:1)};pv.Color.Rgb=function(b,c,d,f){pv.Color.call(this,f?"rgb("+b+","+c+","+d+")":"none",f);this.r=b;this.g=c;this.b=d;this.a=f};pv.Color.Rgb.prototype=pv.extend(pv.Color);a=pv.Color.Rgb.prototype;a.red=function(b){return pv.rgb(b,this.g,this.b,this.a)};a.green=function(b){return pv.rgb(this.r,b,this.b,this.a)};a.blue=function(b){return pv.rgb(this.r,this.g,b,this.a)};
+a.alpha=function(b){return pv.rgb(this.r,this.g,this.b,b)};a.rgb=function(){return this};a.brighter=function(b){b=Math.pow(0.7,arguments.length?b:1);var c=this.r,d=this.g,f=this.b;if(!c&&!d&&!f)return pv.rgb(30,30,30,this.a);if(c&&c<30)c=30;if(d&&d<30)d=30;if(f&&f<30)f=30;return pv.rgb(Math.min(255,Math.floor(c/b)),Math.min(255,Math.floor(d/b)),Math.min(255,Math.floor(f/b)),this.a)};
+a.darker=function(b){b=Math.pow(0.7,arguments.length?b:1);return pv.rgb(Math.max(0,Math.floor(b*this.r)),Math.max(0,Math.floor(b*this.g)),Math.max(0,Math.floor(b*this.b)),this.a)};pv.hsl=function(b,c,d,f){return new pv.Color.Hsl(b,c,d,arguments.length==4?f:1)};pv.Color.Hsl=function(b,c,d,f){pv.Color.call(this,"hsl("+b+","+c*100+"%,"+d*100+"%)",f);this.h=b;this.s=c;this.l=d;this.a=f};pv.Color.Hsl.prototype=pv.extend(pv.Color);a=pv.Color.Hsl.prototype;
+a.hue=function(b){return pv.hsl(b,this.s,this.l,this.a)};a.saturation=function(b){return pv.hsl(this.h,b,this.l,this.a)};a.lightness=function(b){return pv.hsl(this.h,this.s,b,this.a)};a.alpha=function(b){return pv.hsl(this.h,this.s,this.l,b)};
+a.rgb=function(){function b(j){if(j>360)j-=360;else if(j<0)j+=360;if(j<60)return i+(h-i)*j/60;if(j<180)return h;if(j<240)return i+(h-i)*(240-j)/60;return i}function c(j){return Math.round(b(j)*255)}var d=this.h,f=this.s,g=this.l;d%=360;if(d<0)d+=360;f=Math.max(0,Math.min(f,1));g=Math.max(0,Math.min(g,1));var h=g<=0.5?g*(1+f):g+f-g*f,i=2*g-h;return pv.rgb(c(d+120),c(d),c(d-120),this.a)};
+pv.Color.names={aliceblue:"#f0f8ff",antiquewhite:"#faebd7",aqua:"#00ffff",aquamarine:"#7fffd4",azure:"#f0ffff",beige:"#f5f5dc",bisque:"#ffe4c4",black:"#000000",blanchedalmond:"#ffebcd",blue:"#0000ff",blueviolet:"#8a2be2",brown:"#a52a2a",burlywood:"#deb887",cadetblue:"#5f9ea0",chartreuse:"#7fff00",chocolate:"#d2691e",coral:"#ff7f50",cornflowerblue:"#6495ed",cornsilk:"#fff8dc",crimson:"#dc143c",cyan:"#00ffff",darkblue:"#00008b",darkcyan:"#008b8b",darkgoldenrod:"#b8860b",darkgray:"#a9a9a9",darkgreen:"#006400",
+darkgrey:"#a9a9a9",darkkhaki:"#bdb76b",darkmagenta:"#8b008b",darkolivegreen:"#556b2f",darkorange:"#ff8c00",darkorchid:"#9932cc",darkred:"#8b0000",darksalmon:"#e9967a",darkseagreen:"#8fbc8f",darkslateblue:"#483d8b",darkslategray:"#2f4f4f",darkslategrey:"#2f4f4f",darkturquoise:"#00ced1",darkviolet:"#9400d3",deeppink:"#ff1493",deepskyblue:"#00bfff",dimgray:"#696969",dimgrey:"#696969",dodgerblue:"#1e90ff",firebrick:"#b22222",floralwhite:"#fffaf0",forestgreen:"#228b22",fuchsia:"#ff00ff",gainsboro:"#dcdcdc",
+ghostwhite:"#f8f8ff",gold:"#ffd700",goldenrod:"#daa520",gray:"#808080",green:"#008000",greenyellow:"#adff2f",grey:"#808080",honeydew:"#f0fff0",hotpink:"#ff69b4",indianred:"#cd5c5c",indigo:"#4b0082",ivory:"#fffff0",khaki:"#f0e68c",lavender:"#e6e6fa",lavenderblush:"#fff0f5",lawngreen:"#7cfc00",lemonchiffon:"#fffacd",lightblue:"#add8e6",lightcoral:"#f08080",lightcyan:"#e0ffff",lightgoldenrodyellow:"#fafad2",lightgray:"#d3d3d3",lightgreen:"#90ee90",lightgrey:"#d3d3d3",lightpink:"#ffb6c1",lightsalmon:"#ffa07a",
+lightseagreen:"#20b2aa",lightskyblue:"#87cefa",lightslategray:"#778899",lightslategrey:"#778899",lightsteelblue:"#b0c4de",lightyellow:"#ffffe0",lime:"#00ff00",limegreen:"#32cd32",linen:"#faf0e6",magenta:"#ff00ff",maroon:"#800000",mediumaquamarine:"#66cdaa",mediumblue:"#0000cd",mediumorchid:"#ba55d3",mediumpurple:"#9370db",mediumseagreen:"#3cb371",mediumslateblue:"#7b68ee",mediumspringgreen:"#00fa9a",mediumturquoise:"#48d1cc",mediumvioletred:"#c71585",midnightblue:"#191970",mintcream:"#f5fffa",mistyrose:"#ffe4e1",
+moccasin:"#ffe4b5",navajowhite:"#ffdead",navy:"#000080",oldlace:"#fdf5e6",olive:"#808000",olivedrab:"#6b8e23",orange:"#ffa500",orangered:"#ff4500",orchid:"#da70d6",palegoldenrod:"#eee8aa",palegreen:"#98fb98",paleturquoise:"#afeeee",palevioletred:"#db7093",papayawhip:"#ffefd5",peachpuff:"#ffdab9",peru:"#cd853f",pink:"#ffc0cb",plum:"#dda0dd",powderblue:"#b0e0e6",purple:"#800080",red:"#ff0000",rosybrown:"#bc8f8f",royalblue:"#4169e1",saddlebrown:"#8b4513",salmon:"#fa8072",sandybrown:"#f4a460",seagreen:"#2e8b57",
+seashell:"#fff5ee",sienna:"#a0522d",silver:"#c0c0c0",skyblue:"#87ceeb",slateblue:"#6a5acd",slategray:"#708090",slategrey:"#708090",snow:"#fffafa",springgreen:"#00ff7f",steelblue:"#4682b4",tan:"#d2b48c",teal:"#008080",thistle:"#d8bfd8",tomato:"#ff6347",turquoise:"#40e0d0",violet:"#ee82ee",wheat:"#f5deb3",white:"#ffffff",whitesmoke:"#f5f5f5",yellow:"#ffff00",yellowgreen:"#9acd32",transparent:pv.Color.transparent=pv.rgb(0,0,0,0)};(function(){var b=pv.Color.names;for(var c in b)b[c]=pv.color(b[c])})();
+pv.colors=function(){var b=pv.Scale.ordinal();b.range.apply(b,arguments);return b};pv.Colors={};pv.Colors.category10=function(){var b=pv.colors("#1f77b4","#ff7f0e","#2ca02c","#d62728","#9467bd","#8c564b","#e377c2","#7f7f7f","#bcbd22","#17becf");b.domain.apply(b,arguments);return b};
+pv.Colors.category20=function(){var b=pv.colors("#1f77b4","#aec7e8","#ff7f0e","#ffbb78","#2ca02c","#98df8a","#d62728","#ff9896","#9467bd","#c5b0d5","#8c564b","#c49c94","#e377c2","#f7b6d2","#7f7f7f","#c7c7c7","#bcbd22","#dbdb8d","#17becf","#9edae5");b.domain.apply(b,arguments);return b};
+pv.Colors.category19=function(){var b=pv.colors("#9c9ede","#7375b5","#4a5584","#cedb9c","#b5cf6b","#8ca252","#637939","#e7cb94","#e7ba52","#bd9e39","#8c6d31","#e7969c","#d6616b","#ad494a","#843c39","#de9ed6","#ce6dbd","#a55194","#7b4173");b.domain.apply(b,arguments);return b};pv.ramp=function(){var b=pv.Scale.linear();b.range.apply(b,arguments);return b};
+pv.Scene=pv.SvgScene={svg:"http://www.w3.org/2000/svg",xmlns:"http://www.w3.org/2000/xmlns",xlink:"http://www.w3.org/1999/xlink",xhtml:"http://www.w3.org/1999/xhtml",scale:1,events:["DOMMouseScroll","mousewheel","mousedown","mouseup","mouseover","mouseout","mousemove","click","dblclick"],implicit:{svg:{"shape-rendering":"auto","pointer-events":"painted",x:0,y:0,dy:0,"text-anchor":"start",transform:"translate(0,0)",fill:"none","fill-opacity":1,stroke:"none","stroke-opacity":1,"stroke-width":1.5,"stroke-linejoin":"miter"},
+css:{font:"10px sans-serif"}}};pv.SvgScene.updateAll=function(b){if(b.length&&b[0].reverse&&b.type!="line"&&b.type!="area"){for(var c=pv.extend(b),d=0,f=b.length-1;f>=0;d++,f--)c[d]=b[f];b=c}this.removeSiblings(this[b.type](b))};pv.SvgScene.create=function(b){return document.createElementNS(this.svg,b)};
+pv.SvgScene.expect=function(b,c,d,f){if(b){if(b.tagName=="a")b=b.firstChild;if(b.tagName!=c){c=this.create(c);b.parentNode.replaceChild(c,b);b=c}}else b=this.create(c);for(var g in d){c=d[g];if(c==this.implicit.svg[g])c=null;c==null?b.removeAttribute(g):b.setAttribute(g,c)}for(g in f){c=f[g];if(c==this.implicit.css[g])c=null;if(c==null)b.style.removeProperty(g);else b.style[g]=c}return b};
+pv.SvgScene.append=function(b,c,d){b.$scene={scenes:c,index:d};b=this.title(b,c[d]);b.parentNode||c.$g.appendChild(b);return b.nextSibling};pv.SvgScene.title=function(b,c){var d=b.parentNode;if(d&&d.tagName!="a")d=null;if(c.title){if(!d){d=this.create("a");b.parentNode&&b.parentNode.replaceChild(d,b);d.appendChild(b)}d.setAttributeNS(this.xlink,"title",c.title);return d}d&&d.parentNode.replaceChild(b,d);return b};
+pv.SvgScene.dispatch=pv.listener(function(b){var c=b.target.$scene;if(c){var d=b.type;switch(d){case "DOMMouseScroll":d="mousewheel";b.wheel=-480*b.detail;break;case "mousewheel":b.wheel=(window.opera?12:1)*b.wheelDelta;break}pv.Mark.dispatch(d,c.scenes,c.index)&&b.preventDefault()}});pv.SvgScene.removeSiblings=function(b){for(;b;){var c=b.nextSibling;b.parentNode.removeChild(b);b=c}};pv.SvgScene.undefined=function(){};
+pv.SvgScene.pathBasis=function(){function b(f,g,h,i,j){return{x:f[0]*g.left+f[1]*h.left+f[2]*i.left+f[3]*j.left,y:f[0]*g.top+f[1]*h.top+f[2]*i.top+f[3]*j.top}}var c=[[1/6,2/3,1/6,0],[0,2/3,1/3,0],[0,1/3,2/3,0],[0,1/6,2/3,1/6]],d=function(f,g,h,i){var j=b(c[1],f,g,h,i),k=b(c[2],f,g,h,i);f=b(c[3],f,g,h,i);return"C"+j.x+","+j.y+","+k.x+","+k.y+","+f.x+","+f.y};d.segment=function(f,g,h,i){var j=b(c[0],f,g,h,i),k=b(c[1],f,g,h,i),l=b(c[2],f,g,h,i);f=b(c[3],f,g,h,i);return"M"+j.x+","+j.y+"C"+k.x+","+k.y+
+","+l.x+","+l.y+","+f.x+","+f.y};return d}();pv.SvgScene.curveBasis=function(b){if(b.length<=2)return"";var c="",d=b[0],f=d,g=d,h=b[1];c+=this.pathBasis(d,f,g,h);for(var i=2;i<b.length;i++){d=f;f=g;g=h;h=b[i];c+=this.pathBasis(d,f,g,h)}c+=this.pathBasis(f,g,h,h);c+=this.pathBasis(g,h,h,h);return c};
+pv.SvgScene.curveBasisSegments=function(b){if(b.length<=2)return"";var c=[],d=b[0],f=d,g=d,h=b[1],i=this.pathBasis.segment(d,f,g,h);d=f;f=g;g=h;h=b[2];c.push(i+this.pathBasis(d,f,g,h));for(i=3;i<b.length;i++){d=f;f=g;g=h;h=b[i];c.push(this.pathBasis.segment(d,f,g,h))}c.push(this.pathBasis.segment(f,g,h,h)+this.pathBasis(g,h,h,h));return c};
+pv.SvgScene.curveHermite=function(b,c){if(c.length<1||b.length!=c.length&&b.length!=c.length+2)return"";var d=b.length!=c.length,f="",g=b[0],h=b[1],i=c[0],j=i,k=1;if(d){f+="Q"+(h.left-i.x*2/3)+","+(h.top-i.y*2/3)+","+h.left+","+h.top;g=b[1];k=2}if(c.length>1){j=c[1];h=b[k];k++;f+="C"+(g.left+i.x)+","+(g.top+i.y)+","+(h.left-j.x)+","+(h.top-j.y)+","+h.left+","+h.top;for(g=2;g<c.length;g++,k++){h=b[k];j=c[g];f+="S"+(h.left-j.x)+","+(h.top-j.y)+","+h.left+","+h.top}}if(d){b=b[k];f+="Q"+(h.left+j.x*2/
+3)+","+(h.top+j.y*2/3)+","+b.left+","+b.top}return f};
+pv.SvgScene.curveHermiteSegments=function(b,c){if(c.length<1||b.length!=c.length&&b.length!=c.length+2)return[];var d=b.length!=c.length,f=[],g=b[0],h=g,i=c[0],j=i,k=1;if(d){h=b[1];f.push("M"+g.left+","+g.top+"Q"+(h.left-j.x*2/3)+","+(h.top-j.y*2/3)+","+h.left+","+h.top);k=2}for(var l=1;l<c.length;l++,k++){g=h;i=j;h=b[k];j=c[l];f.push("M"+g.left+","+g.top+"C"+(g.left+i.x)+","+(g.top+i.y)+","+(h.left-j.x)+","+(h.top-j.y)+","+h.left+","+h.top)}if(d){b=b[k];f.push("M"+h.left+","+h.top+"Q"+(h.left+j.x*
+2/3)+","+(h.top+j.y*2/3)+","+b.left+","+b.top)}return f};pv.SvgScene.cardinalTangents=function(b,c){var d=[];c=(1-c)/2;for(var f=b[0],g=b[1],h=b[2],i=3;i<b.length;i++){d.push({x:c*(h.left-f.left),y:c*(h.top-f.top)});f=g;g=h;h=b[i]}d.push({x:c*(h.left-f.left),y:c*(h.top-f.top)});return d};pv.SvgScene.curveCardinal=function(b,c){if(b.length<=2)return"";return this.curveHermite(b,this.cardinalTangents(b,c))};
+pv.SvgScene.curveCardinalSegments=function(b,c){if(b.length<=2)return"";return this.curveHermiteSegments(b,this.cardinalTangents(b,c))};
+pv.SvgScene.monotoneTangents=function(b){var c=[],d=[],f=[],g=[],h=0;for(h=0;h<b.length-1;h++)d[h]=(b[h+1].top-b[h].top)/(b[h+1].left-b[h].left);f[0]=d[0];g[0]=b[1].left-b[0].left;for(h=1;h<b.length-1;h++){f[h]=(d[h-1]+d[h])/2;g[h]=(b[h+1].left-b[h-1].left)/2}f[h]=d[h-1];g[h]=b[h].left-b[h-1].left;for(h=0;h<b.length-1;h++)if(d[h]==0){f[h]=0;f[h+1]=0}for(h=0;h<b.length-1;h++)if(!(Math.abs(f[h])<1.0E-5||Math.abs(f[h+1])<1.0E-5)){var i=f[h]/d[h],j=f[h+1]/d[h],k=i*i+j*j;if(k>9){k=3/Math.sqrt(k);f[h]=
+k*i*d[h];f[h+1]=k*j*d[h]}}for(h=0;h<b.length;h++){d=1+f[h]*f[h];c.push({x:g[h]/3/d,y:f[h]*g[h]/3/d})}return c};pv.SvgScene.curveMonotone=function(b){if(b.length<=2)return"";return this.curveHermite(b,this.monotoneTangents(b))};pv.SvgScene.curveMonotoneSegments=function(b){if(b.length<=2)return"";return this.curveHermiteSegments(b,this.monotoneTangents(b))};
+pv.SvgScene.area=function(b){function c(n,p){for(var m=[],r=[],s=p;n<=s;n++,p--){var t=b[n],x=b[p];t=t.left+","+t.top;x=x.left+x.width+","+(x.top+x.height);if(n<s){var u=b[n+1],o=b[p-1];switch(g.interpolate){case "step-before":t+="V"+u.top;x+="H"+(o.left+o.width);break;case "step-after":t+="H"+u.left;x+="V"+(o.top+o.height);break}}m.push(t);r.push(x)}return m.concat(r).join("L")}function d(n,p){for(var m=[],r=[],s=p;n<=s;n++,p--){var t=b[p];m.push(b[n]);r.push({left:t.left+t.width,top:t.top+t.height})}if(g.interpolate==
+"basis"){n=pv.SvgScene.curveBasis(m);p=pv.SvgScene.curveBasis(r)}else if(g.interpolate=="cardinal"){n=pv.SvgScene.curveCardinal(m,g.tension);p=pv.SvgScene.curveCardinal(r,g.tension)}else{n=pv.SvgScene.curveMonotone(m);p=pv.SvgScene.curveMonotone(r)}return m[0].left+","+m[0].top+n+"L"+r[0].left+","+r[0].top+p}var f=b.$g.firstChild;if(!b.length)return f;var g=b[0];if(g.segmented)return this.areaSegment(b);if(!g.visible)return f;var h=g.fillStyle,i=g.strokeStyle;if(!h.opacity&&!i.opacity)return f;for(var j=
+[],k,l=0;l<b.length;l++){k=b[l];if(k.width||k.height){for(var q=l+1;q<b.length;q++){k=b[q];if(!k.width&&!k.height)break}l&&g.interpolate!="step-after"&&l--;q<b.length&&g.interpolate!="step-before"&&q++;j.push((q-l>2&&(g.interpolate=="basis"||g.interpolate=="cardinal"||g.interpolate=="monotone")?d:c)(l,q-1));l=q-1}}if(!j.length)return f;f=this.expect(f,"path",{"shape-rendering":g.antialias?null:"crispEdges","pointer-events":g.events,cursor:g.cursor,d:"M"+j.join("ZM")+"Z",fill:h.color,"fill-opacity":h.opacity||
+null,stroke:i.color,"stroke-opacity":i.opacity||null,"stroke-width":i.opacity?g.lineWidth/this.scale:null});return this.append(f,b,0)};
+pv.SvgScene.areaSegment=function(b){var c=b.$g.firstChild,d=b[0],f,g;if(d.interpolate=="basis"||d.interpolate=="cardinal"||d.interpolate=="monotone"){f=[];g=[];for(var h=0,i=b.length;h<i;h++){var j=b[i-h-1];f.push(b[h]);g.push({left:j.left+j.width,top:j.top+j.height})}if(d.interpolate=="basis"){f=this.curveBasisSegments(f);g=this.curveBasisSegments(g)}else if(d.interpolate=="cardinal"){f=this.curveCardinalSegments(f,d.tension);g=this.curveCardinalSegments(g,d.tension)}else{f=this.curveMonotoneSegments(f);
+g=this.curveMonotoneSegments(g)}}h=0;for(i=b.length-1;h<i;h++){d=b[h];var k=b[h+1];if(d.visible&&k.visible){var l=d.fillStyle,q=d.strokeStyle;if(l.opacity||q.opacity){if(f){j=f[h];k="L"+g[i-h-1].substr(1);j=j+k+"Z"}else{var n=d;j=k;switch(d.interpolate){case "step-before":n=k;break;case "step-after":j=d;break}j="M"+d.left+","+n.top+"L"+k.left+","+j.top+"L"+(k.left+k.width)+","+(j.top+j.height)+"L"+(d.left+d.width)+","+(n.top+n.height)+"Z"}c=this.expect(c,"path",{"shape-rendering":d.antialias?null:
+"crispEdges","pointer-events":d.events,cursor:d.cursor,d:j,fill:l.color,"fill-opacity":l.opacity||null,stroke:q.color,"stroke-opacity":q.opacity||null,"stroke-width":q.opacity?d.lineWidth/this.scale:null});c=this.append(c,b,h)}}}return c};
+pv.SvgScene.bar=function(b){for(var c=b.$g.firstChild,d=0;d<b.length;d++){var f=b[d];if(f.visible){var g=f.fillStyle,h=f.strokeStyle;if(g.opacity||h.opacity){c=this.expect(c,"rect",{"shape-rendering":f.antialias?null:"crispEdges","pointer-events":f.events,cursor:f.cursor,x:f.left,y:f.top,width:Math.max(1.0E-10,f.width),height:Math.max(1.0E-10,f.height),fill:g.color,"fill-opacity":g.opacity||null,stroke:h.color,"stroke-opacity":h.opacity||null,"stroke-width":h.opacity?f.lineWidth/this.scale:null});
+c=this.append(c,b,d)}}}return c};
+pv.SvgScene.dot=function(b){for(var c=b.$g.firstChild,d=0;d<b.length;d++){var f=b[d];if(f.visible){var g=f.fillStyle,h=f.strokeStyle;if(g.opacity||h.opacity){var i=f.radius,j=null;switch(f.shape){case "cross":j="M"+-i+","+-i+"L"+i+","+i+"M"+i+","+-i+"L"+-i+","+i;break;case "triangle":j=i;var k=i*1.1547;j="M0,"+j+"L"+k+","+-j+" "+-k+","+-j+"Z";break;case "diamond":i*=Math.SQRT2;j="M0,"+-i+"L"+i+",0 0,"+i+" "+-i+",0Z";break;case "square":j="M"+-i+","+-i+"L"+i+","+-i+" "+i+","+i+" "+-i+","+i+"Z";break;
+case "tick":j="M0,0L0,"+-f.size;break;case "bar":j="M0,"+f.size/2+"L0,"+-(f.size/2);break}g={"shape-rendering":f.antialias?null:"crispEdges","pointer-events":f.events,cursor:f.cursor,fill:g.color,"fill-opacity":g.opacity||null,stroke:h.color,"stroke-opacity":h.opacity||null,"stroke-width":h.opacity?f.lineWidth/this.scale:null};if(j){g.transform="translate("+f.left+","+f.top+")";if(f.angle)g.transform+=" rotate("+180*f.angle/Math.PI+")";g.d=j;c=this.expect(c,"path",g)}else{g.cx=f.left;g.cy=f.top;g.r=
+i;c=this.expect(c,"circle",g)}c=this.append(c,b,d)}}}return c};
+pv.SvgScene.image=function(b){for(var c=b.$g.firstChild,d=0;d<b.length;d++){var f=b[d];if(f.visible){c=this.fill(c,b,d);if(f.image){c=this.expect(c,"foreignObject",{cursor:f.cursor,x:f.left,y:f.top,width:f.width,height:f.height});var g=c.firstChild||c.appendChild(document.createElementNS(this.xhtml,"canvas"));g.$scene={scenes:b,index:d};g.style.width=f.width;g.style.height=f.height;g.width=f.imageWidth;g.height=f.imageHeight;g.getContext("2d").putImageData(f.image,0,0)}else{c=this.expect(c,"image",
+{preserveAspectRatio:"none",cursor:f.cursor,x:f.left,y:f.top,width:f.width,height:f.height});c.setAttributeNS(this.xlink,"href",f.url)}c=this.append(c,b,d);c=this.stroke(c,b,d)}}return c};
+pv.SvgScene.label=function(b){for(var c=b.$g.firstChild,d=0;d<b.length;d++){var f=b[d];if(f.visible){var g=f.textStyle;if(g.opacity&&f.text){var h=0,i=0,j=0,k="start";switch(f.textBaseline){case "middle":j=".35em";break;case "top":j=".71em";i=f.textMargin;break;case "bottom":i="-"+f.textMargin;break}switch(f.textAlign){case "right":k="end";h="-"+f.textMargin;break;case "center":k="middle";break;case "left":h=f.textMargin;break}c=this.expect(c,"text",{"pointer-events":f.events,cursor:f.cursor,x:h,
+y:i,dy:j,transform:"translate("+f.left+","+f.top+")"+(f.textAngle?" rotate("+180*f.textAngle/Math.PI+")":"")+(this.scale!=1?" scale("+1/this.scale+")":""),fill:g.color,"fill-opacity":g.opacity||null,"text-anchor":k},{font:f.font,"text-shadow":f.textShadow,"text-decoration":f.textDecoration});if(c.firstChild)c.firstChild.nodeValue=f.text;else c.appendChild(document.createTextNode(f.text));c=this.append(c,b,d)}}}return c};
+pv.SvgScene.line=function(b){var c=b.$g.firstChild;if(b.length<2)return c;var d=b[0];if(d.segmented)return this.lineSegment(b);if(!d.visible)return c;var f=d.fillStyle,g=d.strokeStyle;if(!f.opacity&&!g.opacity)return c;var h="M"+d.left+","+d.top;if(b.length>2&&(d.interpolate=="basis"||d.interpolate=="cardinal"||d.interpolate=="monotone"))switch(d.interpolate){case "basis":h+=this.curveBasis(b);break;case "cardinal":h+=this.curveCardinal(b,d.tension);break;case "monotone":h+=this.curveMonotone(b);
+break}else for(var i=1;i<b.length;i++)h+=this.pathSegment(b[i-1],b[i]);c=this.expect(c,"path",{"shape-rendering":d.antialias?null:"crispEdges","pointer-events":d.events,cursor:d.cursor,d:h,fill:f.color,"fill-opacity":f.opacity||null,stroke:g.color,"stroke-opacity":g.opacity||null,"stroke-width":g.opacity?d.lineWidth/this.scale:null,"stroke-linejoin":d.lineJoin});return this.append(c,b,0)};
+pv.SvgScene.lineSegment=function(b){var c=b.$g.firstChild,d=b[0],f;switch(d.interpolate){case "basis":f=this.curveBasisSegments(b);break;case "cardinal":f=this.curveCardinalSegments(b,d.tension);break;case "monotone":f=this.curveMonotoneSegments(b);break}d=0;for(var g=b.length-1;d<g;d++){var h=b[d],i=b[d+1];if(h.visible&&i.visible){var j=h.strokeStyle,k=pv.Color.transparent;if(j.opacity){if(h.interpolate=="linear"&&h.lineJoin=="miter"){k=j;j=pv.Color.transparent;i=this.pathJoin(b[d-1],h,i,b[d+2])}else i=
+f?f[d]:"M"+h.left+","+h.top+this.pathSegment(h,i);c=this.expect(c,"path",{"shape-rendering":h.antialias?null:"crispEdges","pointer-events":h.events,cursor:h.cursor,d:i,fill:k.color,"fill-opacity":k.opacity||null,stroke:j.color,"stroke-opacity":j.opacity||null,"stroke-width":j.opacity?h.lineWidth/this.scale:null,"stroke-linejoin":h.lineJoin});c=this.append(c,b,d)}}}return c};
+pv.SvgScene.pathSegment=function(b,c){var d=1;switch(b.interpolate){case "polar-reverse":d=0;case "polar":var f=c.left-b.left,g=c.top-b.top;b=1-b.eccentricity;f=Math.sqrt(f*f+g*g)/(2*b);if(b<=0||b>1)break;return"A"+f+","+f+" 0 0,"+d+" "+c.left+","+c.top;case "step-before":return"V"+c.top+"H"+c.left;case "step-after":return"H"+c.left+"V"+c.top}return"L"+c.left+","+c.top};pv.SvgScene.lineIntersect=function(b,c,d,f){return b.plus(c.times(d.minus(b).dot(f.perp())/c.dot(f.perp())))};
+pv.SvgScene.pathJoin=function(b,c,d,f){var g=pv.vector(c.left,c.top);d=pv.vector(d.left,d.top);var h=d.minus(g),i=h.perp().norm(),j=i.times(c.lineWidth/(2*this.scale));c=g.plus(j);var k=d.plus(j),l=d.minus(j);j=g.minus(j);if(b&&b.visible){b=g.minus(b.left,b.top).perp().norm().plus(i);j=this.lineIntersect(g,b,j,h);c=this.lineIntersect(g,b,c,h)}if(f&&f.visible){f=pv.vector(f.left,f.top).minus(d).perp().norm().plus(i);l=this.lineIntersect(d,f,l,h);k=this.lineIntersect(d,f,k,h)}return"M"+c.x+","+c.y+
+"L"+k.x+","+k.y+" "+l.x+","+l.y+" "+j.x+","+j.y};
+pv.SvgScene.panel=function(b){for(var c=b.$g,d=c&&c.firstChild,f=0;f<b.length;f++){var g=b[f];if(g.visible){if(!b.parent){g.canvas.style.display="inline-block";if(c&&c.parentNode!=g.canvas)d=(c=g.canvas.firstChild)&&c.firstChild;if(!c){c=g.canvas.appendChild(this.create("svg"));c.setAttribute("font-size","10px");c.setAttribute("font-family","sans-serif");c.setAttribute("fill","none");c.setAttribute("stroke","none");c.setAttribute("stroke-width",1.5);for(var h=0;h<this.events.length;h++)c.addEventListener(this.events[h],
+this.dispatch,false);d=c.firstChild}b.$g=c;c.setAttribute("width",g.width+g.left+g.right);c.setAttribute("height",g.height+g.top+g.bottom)}if(g.overflow=="hidden"){h=pv.id().toString(36);var i=this.expect(d,"g",{"clip-path":"url(#"+h+")"});i.parentNode||c.appendChild(i);b.$g=c=i;d=i.firstChild;d=this.expect(d,"clipPath",{id:h});h=d.firstChild||d.appendChild(this.create("rect"));h.setAttribute("x",g.left);h.setAttribute("y",g.top);h.setAttribute("width",g.width);h.setAttribute("height",g.height);d.parentNode||
+c.appendChild(d);d=d.nextSibling}d=this.fill(d,b,f);var j=this.scale,k=g.transform,l=g.left+k.x,q=g.top+k.y;this.scale*=k.k;for(h=0;h<g.children.length;h++){g.children[h].$g=d=this.expect(d,"g",{transform:"translate("+l+","+q+")"+(k.k!=1?" scale("+k.k+")":"")});this.updateAll(g.children[h]);d.parentNode||c.appendChild(d);d=d.nextSibling}this.scale=j;d=this.stroke(d,b,f);if(g.overflow=="hidden"){b.$g=c=i.parentNode;d=i.nextSibling}}}return d};
+pv.SvgScene.fill=function(b,c,d){var f=c[d],g=f.fillStyle;if(g.opacity||f.events=="all"){b=this.expect(b,"rect",{"shape-rendering":f.antialias?null:"crispEdges","pointer-events":f.events,cursor:f.cursor,x:f.left,y:f.top,width:f.width,height:f.height,fill:g.color,"fill-opacity":g.opacity,stroke:null});b=this.append(b,c,d)}return b};
+pv.SvgScene.stroke=function(b,c,d){var f=c[d],g=f.strokeStyle;if(g.opacity||f.events=="all"){b=this.expect(b,"rect",{"shape-rendering":f.antialias?null:"crispEdges","pointer-events":f.events=="all"?"stroke":f.events,cursor:f.cursor,x:f.left,y:f.top,width:Math.max(1.0E-10,f.width),height:Math.max(1.0E-10,f.height),fill:null,stroke:g.color,"stroke-opacity":g.opacity,"stroke-width":f.lineWidth/this.scale});b=this.append(b,c,d)}return b};
+pv.SvgScene.rule=function(b){for(var c=b.$g.firstChild,d=0;d<b.length;d++){var f=b[d];if(f.visible){var g=f.strokeStyle;if(g.opacity){c=this.expect(c,"line",{"shape-rendering":f.antialias?null:"crispEdges","pointer-events":f.events,cursor:f.cursor,x1:f.left,y1:f.top,x2:f.left+f.width,y2:f.top+f.height,stroke:g.color,"stroke-opacity":g.opacity,"stroke-width":f.lineWidth/this.scale});c=this.append(c,b,d)}}}return c};
+pv.SvgScene.wedge=function(b){for(var c=b.$g.firstChild,d=0;d<b.length;d++){var f=b[d];if(f.visible){var g=f.fillStyle,h=f.strokeStyle;if(g.opacity||h.opacity){var i=f.innerRadius,j=f.outerRadius,k=Math.abs(f.angle);if(k>=2*Math.PI)i=i?"M0,"+j+"A"+j+","+j+" 0 1,1 0,"+-j+"A"+j+","+j+" 0 1,1 0,"+j+"M0,"+i+"A"+i+","+i+" 0 1,1 0,"+-i+"A"+i+","+i+" 0 1,1 0,"+i+"Z":"M0,"+j+"A"+j+","+j+" 0 1,1 0,"+-j+"A"+j+","+j+" 0 1,1 0,"+j+"Z";else{var l=Math.min(f.startAngle,f.endAngle),q=Math.max(f.startAngle,f.endAngle),
+n=Math.cos(l),p=Math.cos(q);l=Math.sin(l);q=Math.sin(q);i=i?"M"+j*n+","+j*l+"A"+j+","+j+" 0 "+(k<Math.PI?"0":"1")+",1 "+j*p+","+j*q+"L"+i*p+","+i*q+"A"+i+","+i+" 0 "+(k<Math.PI?"0":"1")+",0 "+i*n+","+i*l+"Z":"M"+j*n+","+j*l+"A"+j+","+j+" 0 "+(k<Math.PI?"0":"1")+",1 "+j*p+","+j*q+"L0,0Z"}c=this.expect(c,"path",{"shape-rendering":f.antialias?null:"crispEdges","pointer-events":f.events,cursor:f.cursor,transform:"translate("+f.left+","+f.top+")",d:i,fill:g.color,"fill-rule":"evenodd","fill-opacity":g.opacity||
+null,stroke:h.color,"stroke-opacity":h.opacity||null,"stroke-width":h.opacity?f.lineWidth/this.scale:null});c=this.append(c,b,d)}}}return c};pv.Mark=function(){this.$properties=[];this.$handlers={}};pv.Mark.prototype.properties={};pv.Mark.cast={};pv.Mark.prototype.property=function(b,c){if(!this.hasOwnProperty("properties"))this.properties=pv.extend(this.properties);this.properties[b]=true;pv.Mark.prototype.propertyMethod(b,false,pv.Mark.cast[b]=c);return this};
+pv.Mark.prototype.propertyMethod=function(b,c,d){d||(d=pv.Mark.cast[b]);this[b]=function(f){if(c&&this.scene){var g=this.scene.defs;if(arguments.length){g[b]={id:f==null?0:pv.id(),value:f!=null&&d?d(f):f};return this}return g[b]?g[b].value:null}if(arguments.length){g=!c<<1|typeof f=="function";this.propertyValue(b,g&1&&d?function(){var h=f.apply(this,arguments);return h!=null?d(h):null}:f!=null&&d?d(f):f).type=g;return this}return this.instance()[b]}};
+pv.Mark.prototype.propertyValue=function(b,c){var d=this.$properties;c={name:b,id:pv.id(),value:c};for(var f=0;f<d.length;f++)if(d[f].name==b){d.splice(f,1);break}d.push(c);return c};pv.Mark.prototype.property("data").property("visible",Boolean).property("left",Number).property("right",Number).property("top",Number).property("bottom",Number).property("cursor",String).property("title",String).property("reverse",Boolean).property("antialias",Boolean).property("events",String);a=pv.Mark.prototype;
+a.childIndex=-1;a.index=-1;a.scale=1;a.defaults=(new pv.Mark).data(function(b){return[b]}).visible(true).antialias(true).events("painted");a.extend=function(b){this.proto=b;this.target=b.target;return this};a.add=function(b){return this.parent.add(b).extend(this)};a.def=function(b,c){this.propertyMethod(b,true);return this[b](arguments.length>1?c:null)};
+a.anchor=function(b){b||(b="center");return(new pv.Anchor(this)).name(b).data(function(){return this.scene.target.map(function(c){return c.data})}).visible(function(){return this.scene.target[this.index].visible}).left(function(){var c=this.scene.target[this.index],d=c.width||0;switch(this.name()){case "bottom":case "top":case "center":return c.left+d/2;case "left":return null}return c.left+d}).top(function(){var c=this.scene.target[this.index],d=c.height||0;switch(this.name()){case "left":case "right":case "center":return c.top+
+d/2;case "top":return null}return c.top+d}).right(function(){var c=this.scene.target[this.index];return this.name()=="left"?c.right+(c.width||0):null}).bottom(function(){var c=this.scene.target[this.index];return this.name()=="top"?c.bottom+(c.height||0):null}).textAlign(function(){switch(this.name()){case "bottom":case "top":case "center":return"center";case "right":return"right"}return"left"}).textBaseline(function(){switch(this.name()){case "right":case "left":case "center":return"middle";case "top":return"top"}return"bottom"})};
+a.anchorTarget=function(){return this.target};a.margin=function(b){return this.left(b).right(b).top(b).bottom(b)};a.instance=function(b){var c=this.scene||this.parent.instance(-1).children[this.childIndex],d=!arguments.length||this.hasOwnProperty("index")?this.index:b;return c[d<0?c.length-1:d]};
+a.instances=function(b){for(var c=this,d=[],f;!(f=c.scene);){b=b.parent;d.push({index:b.index,childIndex:c.childIndex});c=c.parent}for(;d.length;){b=d.pop();f=f[b.index].children[b.childIndex]}if(this.hasOwnProperty("index")){d=pv.extend(f[this.index]);d.right=d.top=d.left=d.bottom=0;return[d]}return f};a.first=function(){return this.scene[0]};a.last=function(){return this.scene[this.scene.length-1]};a.sibling=function(){return this.index==0?null:this.scene[this.index-1]};
+a.cousin=function(){var b=this.parent;return(b=b&&b.sibling())&&b.children?b.children[this.childIndex][this.index]:null};
+a.render=function(){function b(i,j,k){i.scale=k;if(j<g.length){f.unshift(null);if(i.hasOwnProperty("index"))c(i,j,k);else{for(var l=0,q=i.scene.length;l<q;l++){i.index=l;c(i,j,k)}delete i.index}f.shift()}else{i.build();pv.Scene.scale=k;pv.Scene.updateAll(i.scene)}delete i.scale}function c(i,j,k){var l=i.scene[i.index],q;if(l.visible){var n=g[j],p=i.children[n];for(q=0;q<n;q++)i.children[q].scene=l.children[q];f[0]=l.data;if(p.scene)b(p,j+1,k*l.transform.k);else{p.scene=l.children[n];b(p,j+1,k*l.transform.k);
+delete p.scene}for(q=0;q<n;q++)delete i.children[q].scene}}var d=this.parent,f=pv.Mark.stack;if(d&&!this.root.scene)this.root.render();else{for(var g=[],h=this;h.parent;h=h.parent)g.unshift(h.childIndex);for(this.bind();d&&!d.hasOwnProperty("index");)d=d.parent;this.context(d?d.scene:undefined,d?d.index:-1,function(){b(this.root,0,1)})}};pv.Mark.stack=[];a=pv.Mark.prototype;
+a.bind=function(){function b(j){do for(var k=j.$properties,l=k.length-1;l>=0;l--){var q=k[l];if(!(q.name in c)){c[q.name]=q;switch(q.name){case "data":f=q;break;case "visible":g=q;break;default:d[q.type].push(q);break}}}while(j=j.proto)}var c={},d=[[],[],[],[]],f,g;b(this);b(this.defaults);d[1].reverse();d[3].reverse();var h=this;do for(var i in h.properties)i in c||d[2].push(c[i]={name:i,type:2,value:null});while(h=h.proto);h=d[0].concat(d[1]);for(i=0;i<h.length;i++)this.propertyMethod(h[i].name,
+true);this.binds={properties:c,data:f,defs:h,required:[g],optional:pv.blend(d)}};
+a.build=function(){var b=this.scene,c=pv.Mark.stack;if(!b){b=this.scene=[];b.mark=this;b.type=this.type;b.childIndex=this.childIndex;if(this.parent){b.parent=this.parent.scene;b.parentIndex=this.parent.index}}if(this.target)b.target=this.target.instances(b);if(this.binds.defs.length){var d=b.defs;if(!d)b.defs=d={};for(var f=0;f<this.binds.defs.length;f++){var g=this.binds.defs[f],h=d[g.name];if(!h||g.id>h.id)d[g.name]={id:0,value:g.type&1?g.value.apply(this,c):g.value}}}d=this.binds.data;d=d.type&
+1?d.value.apply(this,c):d.value;c.unshift(null);b.length=d.length;for(f=0;f<d.length;f++){pv.Mark.prototype.index=this.index=f;(g=b[f])||(b[f]=g={});g.data=c[0]=d[f];this.buildInstance(g)}pv.Mark.prototype.index=-1;delete this.index;c.shift();return this};a.buildProperties=function(b,c){for(var d=0,f=c.length;d<f;d++){var g=c[d],h=g.value;switch(g.type){case 0:case 1:h=this.scene.defs[g.name].value;break;case 3:h=h.apply(this,pv.Mark.stack);break}b[g.name]=h}};
+a.buildInstance=function(b){this.buildProperties(b,this.binds.required);if(b.visible){this.buildProperties(b,this.binds.optional);this.buildImplied(b)}};
+a.buildImplied=function(b){var c=b.left,d=b.right,f=b.top,g=b.bottom,h=this.properties,i=h.width?b.width:0,j=h.height?b.height:0,k=this.parent?this.parent.width():i+c+d;if(i==null)i=k-(d=d||0)-(c=c||0);else if(d==null)if(c==null)c=d=(k-i)/2;else d=k-i-(c=c||0);else if(c==null)c=k-i-d;k=this.parent?this.parent.height():j+f+g;if(j==null)j=k-(f=f||0)-(g=g||0);else if(g==null)g=f==null?(f=(k-j)/2):k-j-(f=f||0);else if(f==null)f=k-j-g;b.left=c;b.right=d;b.top=f;b.bottom=g;if(h.width)b.width=i;if(h.height)b.height=
+j;if(h.textStyle&&!b.textStyle)b.textStyle=pv.Color.transparent;if(h.fillStyle&&!b.fillStyle)b.fillStyle=pv.Color.transparent;if(h.strokeStyle&&!b.strokeStyle)b.strokeStyle=pv.Color.transparent};
+a.mouse=function(){var b=pv.event.pageX||0,c=pv.event.pageY||0,d=this.root.canvas();do{b-=d.offsetLeft;c-=d.offsetTop}while(d=d.offsetParent);d=pv.Transform.identity;var f=this.properties.transform?this:this.parent,g=[];do g.push(f);while(f=f.parent);for(;f=g.pop();)d=d.translate(f.left(),f.top()).times(f.transform());d=d.invert();return pv.vector(b*d.k+d.x,c*d.k+d.y)};a.event=function(b,c){this.$handlers[b]=pv.functor(c);return this};
+a.context=function(b,c,d){function f(l,q){pv.Mark.scene=l;h.index=q;if(l){var n=l.mark,p=n,m=[];do{m.push(p);i.push(l[q].data);p.index=q;p.scene=l;q=l.parentIndex;l=l.parent}while(p=p.parent);l=m.length-1;for(q=1;l>0;l--){p=m[l];p.scale=q;q*=p.scene[p.index].transform.k}if(n.children){l=0;for(m=n.children.length;l<m;l++){p=n.children[l];p.scene=n.scene[n.index].children[l];p.scale=q}}}}function g(l){if(l){l=l.mark;var q;if(l.children)for(var n=0,p=l.children.length;n<p;n++){q=l.children[n];delete q.scene;
+delete q.scale}q=l;do{i.pop();if(q.parent){delete q.scene;delete q.scale}delete q.index}while(q=q.parent)}}var h=pv.Mark.prototype,i=pv.Mark.stack,j=pv.Mark.scene,k=h.index;g(j,k);f(b,c);try{d.apply(this,i)}finally{g(b,c);f(j,k)}};pv.Mark.dispatch=function(b,c,d){var f=c.mark,g=c.parent,h=f.$handlers[b];if(!h)return g&&pv.Mark.dispatch(b,g,c.parentIndex);f.context(c,d,function(){(f=h.apply(f,pv.Mark.stack))&&f.render&&f.render()});return true};
+pv.Anchor=function(b){pv.Mark.call(this);this.target=b;this.parent=b.parent};pv.Anchor.prototype=pv.extend(pv.Mark).property("name",String);pv.Anchor.prototype.extend=function(b){this.proto=b;return this};pv.Area=function(){pv.Mark.call(this)};
+pv.Area.prototype=pv.extend(pv.Mark).property("width",Number).property("height",Number).property("lineWidth",Number).property("strokeStyle",pv.color).property("fillStyle",pv.color).property("segmented",Boolean).property("interpolate",String).property("tension",Number);pv.Area.prototype.type="area";pv.Area.prototype.defaults=(new pv.Area).extend(pv.Mark.prototype.defaults).lineWidth(1.5).fillStyle(pv.Colors.category20().by(pv.parent)).interpolate("linear").tension(0.7);
+pv.Area.prototype.buildImplied=function(b){if(b.height==null)b.height=0;if(b.width==null)b.width=0;pv.Mark.prototype.buildImplied.call(this,b)};pv.Area.fixed={lineWidth:1,lineJoin:1,strokeStyle:1,fillStyle:1,segmented:1,interpolate:1,tension:1};
+pv.Area.prototype.bind=function(){pv.Mark.prototype.bind.call(this);var b=this.binds,c=b.required;b=b.optional;for(var d=0,f=b.length;d<f;d++){var g=b[d];g.fixed=g.name in pv.Area.fixed;if(g.name=="segmented"){c.push(g);b.splice(d,1);d--;f--}}this.binds.$required=c;this.binds.$optional=b};
+pv.Area.prototype.buildInstance=function(b){var c=this.binds;if(this.index){var d=c.fixed;if(!d){d=c.fixed=[];function f(i){return!i.fixed||(d.push(i),false)}c.required=c.required.filter(f);if(!this.scene[0].segmented)c.optional=c.optional.filter(f)}c=0;for(var g=d.length;c<g;c++){var h=d[c].name;b[h]=this.scene[0][h]}}else{c.required=c.$required;c.optional=c.$optional;c.fixed=null}pv.Mark.prototype.buildInstance.call(this,b)};
+pv.Area.prototype.anchor=function(b){return pv.Mark.prototype.anchor.call(this,b).interpolate(function(){return this.scene.target[this.index].interpolate}).eccentricity(function(){return this.scene.target[this.index].eccentricity}).tension(function(){return this.scene.target[this.index].tension})};pv.Bar=function(){pv.Mark.call(this)};
+pv.Bar.prototype=pv.extend(pv.Mark).property("width",Number).property("height",Number).property("lineWidth",Number).property("strokeStyle",pv.color).property("fillStyle",pv.color);pv.Bar.prototype.type="bar";pv.Bar.prototype.defaults=(new pv.Bar).extend(pv.Mark.prototype.defaults).lineWidth(1.5).fillStyle(pv.Colors.category20().by(pv.parent));pv.Dot=function(){pv.Mark.call(this)};
+pv.Dot.prototype=pv.extend(pv.Mark).property("size",Number).property("radius",Number).property("shape",String).property("angle",Number).property("lineWidth",Number).property("strokeStyle",pv.color).property("fillStyle",pv.color);pv.Dot.prototype.type="dot";pv.Dot.prototype.defaults=(new pv.Dot).extend(pv.Mark.prototype.defaults).size(20).shape("circle").lineWidth(1.5).strokeStyle(pv.Colors.category10().by(pv.parent));
+pv.Dot.prototype.anchor=function(b){return pv.Mark.prototype.anchor.call(this,b).left(function(){var c=this.scene.target[this.index];switch(this.name()){case "bottom":case "top":case "center":return c.left;case "left":return null}return c.left+c.radius}).right(function(){var c=this.scene.target[this.index];return this.name()=="left"?c.right+c.radius:null}).top(function(){var c=this.scene.target[this.index];switch(this.name()){case "left":case "right":case "center":return c.top;case "top":return null}return c.top+
+c.radius}).bottom(function(){var c=this.scene.target[this.index];return this.name()=="top"?c.bottom+c.radius:null}).textAlign(function(){switch(this.name()){case "left":return"right";case "bottom":case "top":case "center":return"center"}return"left"}).textBaseline(function(){switch(this.name()){case "right":case "left":case "center":return"middle";case "bottom":return"top"}return"bottom"})};
+pv.Dot.prototype.buildImplied=function(b){if(b.radius==null)b.radius=Math.sqrt(b.size);else if(b.size==null)b.size=b.radius*b.radius;pv.Mark.prototype.buildImplied.call(this,b)};pv.Label=function(){pv.Mark.call(this)};
+pv.Label.prototype=pv.extend(pv.Mark).property("text",String).property("font",String).property("textAngle",Number).property("textStyle",pv.color).property("textAlign",String).property("textBaseline",String).property("textMargin",Number).property("textDecoration",String).property("textShadow",String);pv.Label.prototype.type="label";pv.Label.prototype.defaults=(new pv.Label).extend(pv.Mark.prototype.defaults).events("none").text(pv.identity).font("10px sans-serif").textAngle(0).textStyle("black").textAlign("left").textBaseline("bottom").textMargin(3);
+pv.Line=function(){pv.Mark.call(this)};pv.Line.prototype=pv.extend(pv.Mark).property("lineWidth",Number).property("lineJoin",String).property("strokeStyle",pv.color).property("fillStyle",pv.color).property("segmented",Boolean).property("interpolate",String).property("eccentricity",Number).property("tension",Number);a=pv.Line.prototype;a.type="line";a.defaults=(new pv.Line).extend(pv.Mark.prototype.defaults).lineJoin("miter").lineWidth(1.5).strokeStyle(pv.Colors.category10().by(pv.parent)).interpolate("linear").eccentricity(0).tension(0.7);
+a.bind=pv.Area.prototype.bind;a.buildInstance=pv.Area.prototype.buildInstance;a.anchor=function(b){return pv.Area.prototype.anchor.call(this,b).textAlign(function(){switch(this.name()){case "left":return"right";case "bottom":case "top":case "center":return"center";case "right":return"left"}}).textBaseline(function(){switch(this.name()){case "right":case "left":case "center":return"middle";case "top":return"bottom";case "bottom":return"top"}})};pv.Rule=function(){pv.Mark.call(this)};
+pv.Rule.prototype=pv.extend(pv.Mark).property("width",Number).property("height",Number).property("lineWidth",Number).property("strokeStyle",pv.color);pv.Rule.prototype.type="rule";pv.Rule.prototype.defaults=(new pv.Rule).extend(pv.Mark.prototype.defaults).lineWidth(1).strokeStyle("black").antialias(false);pv.Rule.prototype.anchor=pv.Line.prototype.anchor;
+pv.Rule.prototype.buildImplied=function(b){var c=b.left,d=b.right;if(b.width!=null||c==null&&d==null||d!=null&&c!=null)b.height=0;else b.width=0;pv.Mark.prototype.buildImplied.call(this,b)};pv.Panel=function(){pv.Bar.call(this);this.children=[];this.root=this;this.$dom=pv.$&&pv.$.s};pv.Panel.prototype=pv.extend(pv.Bar).property("transform").property("overflow",String).property("canvas",function(b){return typeof b=="string"?document.getElementById(b):b});a=pv.Panel.prototype;a.type="panel";
+a.defaults=(new pv.Panel).extend(pv.Bar.prototype.defaults).fillStyle(null).overflow("visible");a.anchor=function(b){b=pv.Bar.prototype.anchor.call(this,b);b.parent=this;return b};a.add=function(b){b=new b;b.parent=this;b.root=this.root;b.childIndex=this.children.length;this.children.push(b);return b};a.bind=function(){pv.Mark.prototype.bind.call(this);for(var b=0;b<this.children.length;b++)this.children[b].bind()};
+a.buildInstance=function(b){pv.Bar.prototype.buildInstance.call(this,b);if(b.visible){if(!b.children)b.children=[];var c=this.scale*b.transform.k,d,f=this.children.length;pv.Mark.prototype.index=-1;for(var g=0;g<f;g++){d=this.children[g];d.scene=b.children[g];d.scale=c;d.build()}for(g=0;g<f;g++){d=this.children[g];b.children[g]=d.scene;delete d.scene;delete d.scale}b.children.length=f}};
+a.buildImplied=function(b){if(!this.parent){var c=b.canvas;if(c){if(c.$panel!=this)for(c.$panel=this;c.lastChild;)c.removeChild(c.lastChild);var d;if(b.width==null){d=parseFloat(pv.css(c,"width"));b.width=d-b.left-b.right}if(b.height==null){d=parseFloat(pv.css(c,"height"));b.height=d-b.top-b.bottom}}else{d=this.$canvas||(this.$canvas=[]);if(!(c=d[this.index])){c=d[this.index]=document.createElement("span");if(this.$dom)this.$dom.parentNode.insertBefore(c,this.$dom);else{for(d=document.body;d.lastChild&&
+d.lastChild.tagName;)d=d.lastChild;if(d!=document.body)d=d.parentNode;d.appendChild(c)}}}b.canvas=c}if(!b.transform)b.transform=pv.Transform.identity;pv.Mark.prototype.buildImplied.call(this,b)};pv.Image=function(){pv.Bar.call(this)};pv.Image.prototype=pv.extend(pv.Bar).property("url",String).property("imageWidth",Number).property("imageHeight",Number);a=pv.Image.prototype;a.type="image";a.defaults=(new pv.Image).extend(pv.Bar.prototype.defaults).fillStyle(null);
+a.image=function(b){this.$image=function(){var c=b.apply(this,arguments);return c==null?pv.Color.transparent:typeof c=="string"?pv.color(c):c};return this};a.bind=function(){pv.Bar.prototype.bind.call(this);var b=this.binds,c=this;do b.image=c.$image;while(!b.image&&(c=c.proto))};
+a.buildImplied=function(b){pv.Bar.prototype.buildImplied.call(this,b);if(b.visible){if(b.imageWidth==null)b.imageWidth=b.width;if(b.imageHeight==null)b.imageHeight=b.height;if(b.url==null&&this.binds.image){var c=this.$canvas||(this.$canvas=document.createElement("canvas")),d=c.getContext("2d"),f=b.imageWidth,g=b.imageHeight,h=pv.Mark.stack;c.width=f;c.height=g;b=(b.image=d.createImageData(f,g)).data;h.unshift(null,null);for(d=c=0;c<g;c++){h[1]=c;for(var i=0;i<f;i++){h[0]=i;var j=this.binds.image.apply(this,
+h);b[d++]=j.r;b[d++]=j.g;b[d++]=j.b;b[d++]=255*j.a}}h.splice(0,2)}}};pv.Wedge=function(){pv.Mark.call(this)};pv.Wedge.prototype=pv.extend(pv.Mark).property("startAngle",Number).property("endAngle",Number).property("angle",Number).property("innerRadius",Number).property("outerRadius",Number).property("lineWidth",Number).property("strokeStyle",pv.color).property("fillStyle",pv.color);a=pv.Wedge.prototype;a.type="wedge";
+a.defaults=(new pv.Wedge).extend(pv.Mark.prototype.defaults).startAngle(function(){var b=this.sibling();return b?b.endAngle:-Math.PI/2}).innerRadius(0).lineWidth(1.5).strokeStyle(null).fillStyle(pv.Colors.category20().by(pv.index));a.midRadius=function(){return(this.innerRadius()+this.outerRadius())/2};a.midAngle=function(){return(this.startAngle()+this.endAngle())/2};
+a.anchor=function(b){function c(g){return g.innerRadius||g.angle<2*Math.PI}function d(g){return(g.innerRadius+g.outerRadius)/2}function f(g){return(g.startAngle+g.endAngle)/2}return pv.Mark.prototype.anchor.call(this,b).left(function(){var g=this.scene.target[this.index];if(c(g))switch(this.name()){case "outer":return g.left+g.outerRadius*Math.cos(f(g));case "inner":return g.left+g.innerRadius*Math.cos(f(g));case "start":return g.left+d(g)*Math.cos(g.startAngle);case "center":return g.left+d(g)*Math.cos(f(g));
+case "end":return g.left+d(g)*Math.cos(g.endAngle)}return g.left}).top(function(){var g=this.scene.target[this.index];if(c(g))switch(this.name()){case "outer":return g.top+g.outerRadius*Math.sin(f(g));case "inner":return g.top+g.innerRadius*Math.sin(f(g));case "start":return g.top+d(g)*Math.sin(g.startAngle);case "center":return g.top+d(g)*Math.sin(f(g));case "end":return g.top+d(g)*Math.sin(g.endAngle)}return g.top}).textAlign(function(){var g=this.scene.target[this.index];if(c(g))switch(this.name()){case "outer":return pv.Wedge.upright(f(g))?
+"right":"left";case "inner":return pv.Wedge.upright(f(g))?"left":"right"}return"center"}).textBaseline(function(){var g=this.scene.target[this.index];if(c(g))switch(this.name()){case "start":return pv.Wedge.upright(g.startAngle)?"top":"bottom";case "end":return pv.Wedge.upright(g.endAngle)?"bottom":"top"}return"middle"}).textAngle(function(){var g=this.scene.target[this.index],h=0;if(c(g))switch(this.name()){case "center":case "inner":case "outer":h=f(g);break;case "start":h=g.startAngle;break;case "end":h=
+g.endAngle;break}return pv.Wedge.upright(h)?h:h+Math.PI})};pv.Wedge.upright=function(b){b%=2*Math.PI;b=b<0?2*Math.PI+b:b;return b<Math.PI/2||b>=3*Math.PI/2};pv.Wedge.prototype.buildImplied=function(b){if(b.angle==null)b.angle=b.endAngle-b.startAngle;else if(b.endAngle==null)b.endAngle=b.startAngle+b.angle;pv.Mark.prototype.buildImplied.call(this,b)};pv.simulation=function(b){return new pv.Simulation(b)};pv.Simulation=function(b){for(var c=0;c<b.length;c++)this.particle(b[c])};a=pv.Simulation.prototype;
+a.particle=function(b){b.next=this.particles;if(isNaN(b.px))b.px=b.x;if(isNaN(b.py))b.py=b.y;if(isNaN(b.fx))b.fx=0;if(isNaN(b.fy))b.fy=0;this.particles=b;return this};a.force=function(b){b.next=this.forces;this.forces=b;return this};a.constraint=function(b){b.next=this.constraints;this.constraints=b;return this};
+a.stabilize=function(b){var c;arguments.length||(b=3);for(var d=0;d<b;d++){var f=new pv.Quadtree(this.particles);for(c=this.constraints;c;c=c.next)c.apply(this.particles,f)}for(c=this.particles;c;c=c.next){c.px=c.x;c.py=c.y}return this};
+a.step=function(){var b;for(b=this.particles;b;b=b.next){var c=b.px,d=b.py;b.px=b.x;b.py=b.y;b.x+=b.vx=b.x-c+b.fx;b.y+=b.vy=b.y-d+b.fy}c=new pv.Quadtree(this.particles);for(b=this.constraints;b;b=b.next)b.apply(this.particles,c);for(b=this.particles;b;b=b.next)b.fx=b.fy=0;for(b=this.forces;b;b=b.next)b.apply(this.particles,c)};
+pv.Quadtree=function(b){function c(l,q,n,p,m,r){if(!(isNaN(q.x)||isNaN(q.y)))if(l.leaf)if(l.p){if(!(Math.abs(l.p.x-q.x)+Math.abs(l.p.y-q.y)<0.01)){var s=l.p;l.p=null;d(l,s,n,p,m,r)}d(l,q,n,p,m,r)}else l.p=q;else d(l,q,n,p,m,r)}function d(l,q,n,p,m,r){var s=(n+m)*0.5,t=(p+r)*0.5,x=q.x>=s,u=q.y>=t;l.leaf=false;switch((u<<1)+x){case 0:l=l.c1||(l.c1=new pv.Quadtree.Node);break;case 1:l=l.c2||(l.c2=new pv.Quadtree.Node);break;case 2:l=l.c3||(l.c3=new pv.Quadtree.Node);break;case 3:l=l.c4||(l.c4=new pv.Quadtree.Node);
+break}if(x)n=s;else m=s;if(u)p=t;else r=t;c(l,q,n,p,m,r)}var f,g=Number.POSITIVE_INFINITY,h=g,i=Number.NEGATIVE_INFINITY,j=i;for(f=b;f;f=f.next){if(f.x<g)g=f.x;if(f.y<h)h=f.y;if(f.x>i)i=f.x;if(f.y>j)j=f.y}f=i-g;var k=j-h;if(f>k)j=h+f;else i=g+k;this.xMin=g;this.yMin=h;this.xMax=i;this.yMax=j;this.root=new pv.Quadtree.Node;for(f=b;f;f=f.next)c(this.root,f,g,h,i,j)};pv.Quadtree.Node=function(){this.leaf=true;this.p=this.c4=this.c3=this.c2=this.c1=null};pv.Force={};
+pv.Force.charge=function(b){function c(l){function q(m){c(m);l.cn+=m.cn;n+=m.cn*m.cx;p+=m.cn*m.cy}var n=0,p=0;l.cn=0;if(!l.leaf){l.c1&&q(l.c1);l.c2&&q(l.c2);l.c3&&q(l.c3);l.c4&&q(l.c4)}if(l.p){l.cn+=b;n+=b*l.p.x;p+=b*l.p.y}l.cx=n/l.cn;l.cy=p/l.cn}function d(l,q,n,p,m,r){var s=l.cx-q.x,t=l.cy-q.y,x=1/Math.sqrt(s*s+t*t);if(l.leaf&&l.p!=q||(m-n)*x<j){if(!(x<i)){if(x>g)x=g;l=l.cn*x*x*x;s=s*l;t=t*l;q.fx+=s;q.fy+=t}}else if(!l.leaf){var u=(n+m)*0.5,o=(p+r)*0.5;l.c1&&d(l.c1,q,n,p,u,o);l.c2&&d(l.c2,q,u,p,
+m,o);l.c3&&d(l.c3,q,n,o,u,r);l.c4&&d(l.c4,q,u,o,m,r);if(!(x<i)){if(x>g)x=g;if(l.p&&l.p!=q){l=b*x*x*x;s=s*l;t=t*l;q.fx+=s;q.fy+=t}}}}var f=2,g=1/f,h=500,i=1/h,j=0.9,k={};arguments.length||(b=-40);k.constant=function(l){if(arguments.length){b=Number(l);return k}return b};k.domain=function(l,q){if(arguments.length){f=Number(l);g=1/f;h=Number(q);i=1/h;return k}return[f,h]};k.theta=function(l){if(arguments.length){j=Number(l);return k}return j};k.apply=function(l,q){c(q.root);for(l=l;l;l=l.next)d(q.root,
+l,q.xMin,q.yMin,q.xMax,q.yMax)};return k};pv.Force.drag=function(b){var c={};arguments.length||(b=0.1);c.constant=function(d){if(arguments.length){b=d;return c}return b};c.apply=function(d){if(b)for(d=d;d;d=d.next){d.fx-=b*d.vx;d.fy-=b*d.vy}};return c};
+pv.Force.spring=function(b){var c=0.1,d=20,f,g,h={};arguments.length||(b=0.1);h.links=function(i){if(arguments.length){f=i;g=i.map(function(j){return 1/Math.sqrt(Math.max(j.sourceNode.linkDegree,j.targetNode.linkDegree))});return h}return f};h.constant=function(i){if(arguments.length){b=Number(i);return h}return b};h.damping=function(i){if(arguments.length){c=Number(i);return h}return c};h.length=function(i){if(arguments.length){d=Number(i);return h}return d};h.apply=function(){for(var i=0;i<f.length;i++){var j=
+f[i].sourceNode,k=f[i].targetNode,l=j.x-k.x,q=j.y-k.y,n=Math.sqrt(l*l+q*q),p=n?1/n:1;p=(b*g[i]*(n-d)+c*g[i]*(l*(j.vx-k.vx)+q*(j.vy-k.vy))*p)*p;l=-p*(n?l:0.01*(0.5-Math.random()));q=-p*(n?q:0.01*(0.5-Math.random()));j.fx+=l;j.fy+=q;k.fx-=l;k.fy-=q}};return h};pv.Constraint={};
+pv.Constraint.collision=function(b){function c(l,q,n,p,m,r){if(!l.leaf){var s=(n+m)*0.5,t=(p+r)*0.5,x=t<j,u=s>g,o=s<i;if(t>h){l.c1&&u&&c(l.c1,q,n,p,s,t);l.c2&&o&&c(l.c2,q,s,p,m,t)}if(x){l.c3&&u&&c(l.c3,q,n,t,s,r);l.c4&&o&&c(l.c4,q,s,t,m,r)}}if(l.p&&l.p!=q){n=q.x-l.p.x;p=q.y-l.p.y;m=Math.sqrt(n*n+p*p);r=f+b(l.p);if(m<r){m=(m-r)/m*0.5;n*=m;p*=m;q.x-=n;q.y-=p;l.p.x+=n;l.p.y+=p}}}var d=1,f,g,h,i,j,k={};arguments.length||(f=10);k.repeat=function(l){if(arguments.length){d=Number(l);return k}return d};k.apply=
+function(l,q){var n,p,m=-Infinity;for(n=l;n;n=n.next){p=b(n);if(p>m)m=p}for(var r=0;r<d;r++)for(n=l;n;n=n.next){p=(f=b(n))+m;g=n.x-p;i=n.x+p;h=n.y-p;j=n.y+p;c(q.root,n,q.xMin,q.yMin,q.xMax,q.yMax)}};return k};pv.Constraint.position=function(b){var c=1,d={};arguments.length||(b=function(f){return f.fix});d.alpha=function(f){if(arguments.length){c=Number(f);return d}return c};d.apply=function(f){for(f=f;f;f=f.next){var g=b(f);if(g){f.x+=(g.x-f.x)*c;f.y+=(g.y-f.y)*c;f.fx=f.fy=f.vx=f.vy=0}}};return d};
+pv.Constraint.bound=function(){var b={},c,d;b.x=function(f,g){if(arguments.length){c={min:Math.min(f,g),max:Math.max(f,g)};return this}return c};b.y=function(f,g){if(arguments.length){d={min:Math.min(f,g),max:Math.max(f,g)};return this}return d};b.apply=function(f){if(c)for(var g=f;g;g=g.next)g.x=g.x<c.min?c.min:g.x>c.max?c.max:g.x;if(d)for(g=f;g;g=g.next)g.y=g.y<d.min?d.min:g.y>d.max?d.max:g.y};return b};pv.Layout=function(){pv.Panel.call(this)};pv.Layout.prototype=pv.extend(pv.Panel);
+pv.Layout.prototype.property=function(b,c){if(!this.hasOwnProperty("properties"))this.properties=pv.extend(this.properties);this.properties[b]=true;this.propertyMethod(b,false,pv.Mark.cast[b]=c);return this};
+pv.Layout.Network=function(){pv.Layout.call(this);var b=this;this.$id=pv.id();(this.node=(new pv.Mark).data(function(){return b.nodes()}).strokeStyle("#1f77b4").fillStyle("#fff").left(function(c){return c.x}).top(function(c){return c.y})).parent=this;this.link=(new pv.Mark).extend(this.node).data(function(c){return[c.sourceNode,c.targetNode]}).fillStyle(null).lineWidth(function(c,d){return d.linkValue*1.5}).strokeStyle("rgba(0,0,0,.2)");this.link.add=function(c){return b.add(pv.Panel).data(function(){return b.links()}).add(c).extend(this)};
+(this.label=(new pv.Mark).extend(this.node).textMargin(7).textBaseline("middle").text(function(c){return c.nodeName||c.nodeValue}).textAngle(function(c){c=c.midAngle;return pv.Wedge.upright(c)?c:c+Math.PI}).textAlign(function(c){return pv.Wedge.upright(c.midAngle)?"left":"right"})).parent=this};
+pv.Layout.Network.prototype=pv.extend(pv.Layout).property("nodes",function(b){return b.map(function(c,d){if(typeof c!="object")c={nodeValue:c};c.index=d;return c})}).property("links",function(b){return b.map(function(c){if(isNaN(c.linkValue))c.linkValue=isNaN(c.value)?1:c.value;return c})});pv.Layout.Network.prototype.reset=function(){this.$id=pv.id();return this};pv.Layout.Network.prototype.buildProperties=function(b,c){if((b.$id||0)<this.$id)pv.Layout.prototype.buildProperties.call(this,b,c)};
+pv.Layout.Network.prototype.buildImplied=function(b){pv.Layout.prototype.buildImplied.call(this,b);if(b.$id>=this.$id)return true;b.$id=this.$id;b.nodes.forEach(function(c){c.linkDegree=0});b.links.forEach(function(c){var d=c.linkValue;(c.sourceNode||(c.sourceNode=b.nodes[c.source])).linkDegree+=d;(c.targetNode||(c.targetNode=b.nodes[c.target])).linkDegree+=d})};pv.Layout.Hierarchy=function(){pv.Layout.Network.call(this);this.link.strokeStyle("#ccc")};pv.Layout.Hierarchy.prototype=pv.extend(pv.Layout.Network);
+pv.Layout.Hierarchy.prototype.buildImplied=function(b){if(!b.links)b.links=pv.Layout.Hierarchy.links.call(this);pv.Layout.Network.prototype.buildImplied.call(this,b)};pv.Layout.Hierarchy.links=function(){return this.nodes().filter(function(b){return b.parentNode}).map(function(b){return{sourceNode:b,targetNode:b.parentNode,linkValue:1}})};
+pv.Layout.Hierarchy.NodeLink={buildImplied:function(b){function c(m){return m.parentNode?m.depth*(n-q)+q:0}function d(m){return m.parentNode?(m.breadth-0.25)*2*Math.PI:0}function f(m){switch(i){case "left":return m.depth*k;case "right":return k-m.depth*k;case "top":return m.breadth*k;case "bottom":return k-m.breadth*k;case "radial":return k/2+c(m)*Math.cos(m.midAngle)}}function g(m){switch(i){case "left":return m.breadth*l;case "right":return l-m.breadth*l;case "top":return m.depth*l;case "bottom":return l-
+m.depth*l;case "radial":return l/2+c(m)*Math.sin(m.midAngle)}}var h=b.nodes,i=b.orient,j=/^(top|bottom)$/.test(i),k=b.width,l=b.height;if(i=="radial"){var q=b.innerRadius,n=b.outerRadius;if(q==null)q=0;if(n==null)n=Math.min(k,l)/2}for(b=0;b<h.length;b++){var p=h[b];p.midAngle=i=="radial"?d(p):j?Math.PI/2:0;p.x=f(p);p.y=g(p);if(p.firstChild)p.midAngle+=Math.PI}}};
+pv.Layout.Hierarchy.Fill={constructor:function(){this.node.strokeStyle("#fff").fillStyle("#ccc").width(function(b){return b.dx}).height(function(b){return b.dy}).innerRadius(function(b){return b.innerRadius}).outerRadius(function(b){return b.outerRadius}).startAngle(function(b){return b.startAngle}).angle(function(b){return b.angle});this.label.textAlign("center").left(function(b){return b.x+b.dx/2}).top(function(b){return b.y+b.dy/2});delete this.link},buildImplied:function(b){function c(o,v){return(o+
+v)/(1+v)}function d(o){switch(n){case "left":return c(o.minDepth,s)*m;case "right":return(1-c(o.maxDepth,s))*m;case "top":return o.minBreadth*m;case "bottom":return(1-o.maxBreadth)*m;case "radial":return m/2}}function f(o){switch(n){case "left":return o.minBreadth*r;case "right":return(1-o.maxBreadth)*r;case "top":return c(o.minDepth,s)*r;case "bottom":return(1-c(o.maxDepth,s))*r;case "radial":return r/2}}function g(o){switch(n){case "left":case "right":return(o.maxDepth-o.minDepth)/(1+s)*m;case "top":case "bottom":return(o.maxBreadth-
+o.minBreadth)*m;case "radial":return o.parentNode?(o.innerRadius+o.outerRadius)*Math.cos(o.midAngle):0}}function h(o){switch(n){case "left":case "right":return(o.maxBreadth-o.minBreadth)*r;case "top":case "bottom":return(o.maxDepth-o.minDepth)/(1+s)*r;case "radial":return o.parentNode?(o.innerRadius+o.outerRadius)*Math.sin(o.midAngle):0}}function i(o){return Math.max(0,c(o.minDepth,s/2))*(x-t)+t}function j(o){return c(o.maxDepth,s/2)*(x-t)+t}function k(o){return(o.parentNode?o.minBreadth-0.25:0)*
+2*Math.PI}function l(o){return(o.parentNode?o.maxBreadth-o.minBreadth:1)*2*Math.PI}var q=b.nodes,n=b.orient,p=/^(top|bottom)$/.test(n),m=b.width,r=b.height,s=-q[0].minDepth;if(n=="radial"){var t=b.innerRadius,x=b.outerRadius;if(t==null)t=0;if(t)s*=2;if(x==null)x=Math.min(m,r)/2}for(b=0;b<q.length;b++){var u=q[b];u.x=d(u);u.y=f(u);if(n=="radial"){u.innerRadius=i(u);u.outerRadius=j(u);u.startAngle=k(u);u.angle=l(u);u.midAngle=u.startAngle+u.angle/2}else u.midAngle=p?-Math.PI/2:0;u.dx=g(u);u.dy=h(u)}}};
+pv.Layout.Grid=function(){pv.Layout.call(this);var b=this;(this.cell=(new pv.Mark).data(function(){return b.scene[b.index].$grid}).width(function(){return b.width()/b.cols()}).height(function(){return b.height()/b.rows()}).left(function(){return this.width()*(this.index%b.cols())}).top(function(){return this.height()*Math.floor(this.index/b.cols())})).parent=this};pv.Layout.Grid.prototype=pv.extend(pv.Layout).property("rows").property("cols");pv.Layout.Grid.prototype.defaults=(new pv.Layout.Grid).extend(pv.Layout.prototype.defaults).rows(1).cols(1);
+pv.Layout.Grid.prototype.buildImplied=function(b){pv.Layout.prototype.buildImplied.call(this,b);var c=b.rows,d=b.cols;if(typeof d=="object")c=pv.transpose(d);if(typeof c=="object"){b.$grid=pv.blend(c);b.rows=c.length;b.cols=c[0]?c[0].length:0}else b.$grid=pv.repeat([b.data],c*d)};
+pv.Layout.Stack=function(){function b(i){return function(){return f[i](this.parent.index,this.index)}}pv.Layout.call(this);var c=this,d=function(){return null},f={t:d,l:d,r:d,b:d,w:d,h:d},g,h=c.buildImplied;this.buildImplied=function(i){h.call(this,i);var j=i.layers,k=j.length,l,q=i.orient,n=/^(top|bottom)\b/.test(q),p=this.parent[n?"height":"width"](),m=[],r=[],s=[],t=pv.Mark.stack,x={parent:{parent:this}};t.unshift(null);g=[];for(var u=0;u<k;u++){s[u]=[];r[u]=[];x.parent.index=u;t[0]=j[u];g[u]=
+this.$values.apply(x.parent,t);if(!u)l=g[u].length;t.unshift(null);for(var o=0;o<l;o++){t[0]=g[u][o];x.index=o;u||(m[o]=this.$x.apply(x,t));s[u][o]=this.$y.apply(x,t)}t.shift()}t.shift();switch(i.order){case "inside-out":var v=s.map(function(A){return pv.max.index(A)});x=pv.range(k).sort(function(A,D){return v[A]-v[D]});j=s.map(function(A){return pv.sum(A)});var w=t=0,y=[],z=[];for(u=0;u<k;u++){o=x[u];if(t<w){t+=j[o];y.push(o)}else{w+=j[o];z.push(o)}}j=z.reverse().concat(y);break;case "reverse":j=
+pv.range(k-1,-1,-1);break;default:j=pv.range(k);break}switch(i.offset){case "silohouette":for(o=0;o<l;o++){for(u=x=0;u<k;u++)x+=s[u][o];r[j[0]][o]=(p-x)/2}break;case "wiggle":for(u=x=0;u<k;u++)x+=s[u][0];r[j[0]][0]=x=(p-x)/2;for(o=1;o<l;o++){t=p=0;w=m[o]-m[o-1];for(u=0;u<k;u++)p+=s[u][o];for(u=0;u<k;u++){y=(s[j[u]][o]-s[j[u]][o-1])/(2*w);for(i=0;i<u;i++)y+=(s[j[i]][o]-s[j[i]][o-1])/w;t+=y*s[j[u]][o]}r[j[0]][o]=x-=p?t/p*w:0}break;case "expand":for(o=0;o<l;o++){for(u=i=r[j[0]][o]=0;u<k;u++)i+=s[u][o];
+if(i){i=p/i;for(u=0;u<k;u++)s[u][o]*=i}else{i=p/k;for(u=0;u<k;u++)s[u][o]=i}}break;default:for(o=0;o<l;o++)r[j[0]][o]=0;break}for(o=0;o<l;o++){x=r[j[0]][o];for(u=1;u<k;u++){x+=s[j[u-1]][o];r[j[u]][o]=x}}u=q.indexOf("-");k=n?"h":"w";n=u<0?n?"l":"b":q.charAt(u+1);q=q.charAt(0);for(var C in f)f[C]=d;f[n]=function(A,D){return m[D]};f[q]=function(A,D){return r[A][D]};f[k]=function(A,D){return s[A][D]}};this.layer=(new pv.Mark).data(function(){return g[this.parent.index]}).top(b("t")).left(b("l")).right(b("r")).bottom(b("b")).width(b("w")).height(b("h"));
+this.layer.add=function(i){return c.add(pv.Panel).data(function(){return c.layers()}).add(i).extend(this)}};pv.Layout.Stack.prototype=pv.extend(pv.Layout).property("orient",String).property("offset",String).property("order",String).property("layers");a=pv.Layout.Stack.prototype;a.defaults=(new pv.Layout.Stack).extend(pv.Layout.prototype.defaults).orient("bottom-left").offset("zero").layers([[]]);a.$x=pv.Layout.Stack.prototype.$y=function(){return 0};a.x=function(b){this.$x=pv.functor(b);return this};
+a.y=function(b){this.$y=pv.functor(b);return this};a.$values=pv.identity;a.values=function(b){this.$values=pv.functor(b);return this};
+pv.Layout.Treemap=function(){pv.Layout.Hierarchy.call(this);this.node.strokeStyle("#fff").fillStyle("rgba(31, 119, 180, .25)").width(function(b){return b.dx}).height(function(b){return b.dy});this.label.visible(function(b){return!b.firstChild}).left(function(b){return b.x+b.dx/2}).top(function(b){return b.y+b.dy/2}).textAlign("center").textAngle(function(b){return b.dx>b.dy?0:-Math.PI/2});(this.leaf=(new pv.Mark).extend(this.node).fillStyle(null).strokeStyle(null).visible(function(b){return!b.firstChild})).parent=
+this;delete this.link};pv.Layout.Treemap.prototype=pv.extend(pv.Layout.Hierarchy).property("round",Boolean).property("paddingLeft",Number).property("paddingRight",Number).property("paddingTop",Number).property("paddingBottom",Number).property("mode",String).property("order",String);a=pv.Layout.Treemap.prototype;a.defaults=(new pv.Layout.Treemap).extend(pv.Layout.Hierarchy.prototype.defaults).mode("squarify").order("ascending");a.padding=function(b){return this.paddingLeft(b).paddingRight(b).paddingTop(b).paddingBottom(b)};
+a.$size=function(b){return Number(b.nodeValue)};a.size=function(b){this.$size=pv.functor(b);return this};
+a.buildImplied=function(b){function c(r,s,t,x,u,o,v){for(var w=0,y=0;w<r.length;w++){var z=r[w];if(t){z.x=x+y;z.y=u;y+=z.dx=p(o*z.size/s);z.dy=v}else{z.x=x;z.y=u+y;z.dx=o;y+=z.dy=p(v*z.size/s)}}if(z)if(t)z.dx+=o-y;else z.dy+=v-y}function d(r,s){for(var t=-Infinity,x=Infinity,u=0,o=0;o<r.length;o++){var v=r[o].size;if(v<x)x=v;if(v>t)t=v;u+=v}u*=u;s*=s;return Math.max(s*t/u,u/(s*x))}function f(r,s){function t(A){var D=o==y,G=pv.sum(A,n),E=y?p(G/y):0;c(A,G,D,x,u,D?o:E,D?E:v);if(D){u+=E;v-=E}else{x+=
+E;o-=E}y=Math.min(o,v);return D}var x=r.x+j,u=r.y+l,o=r.dx-j-k,v=r.dy-l-q;if(m!="squarify")c(r.childNodes,r.size,m=="slice"?true:m=="dice"?false:s&1,x,u,o,v);else{var w=[];s=Infinity;var y=Math.min(o,v),z=o*v/r.size;if(!(r.size<=0)){r.visitBefore(function(A){A.size*=z});for(r=r.childNodes.slice();r.length;){var C=r[r.length-1];if(C.size){w.push(C);z=d(w,y);if(z<=s){r.pop();s=z}else{w.pop();t(w);w.length=0;s=Infinity}}else r.pop()}if(t(w))for(s=0;s<w.length;s++)w[s].dy+=v;else for(s=0;s<w.length;s++)w[s].dx+=
+o}}}if(!pv.Layout.Hierarchy.prototype.buildImplied.call(this,b)){var g=this,h=b.nodes[0],i=pv.Mark.stack,j=b.paddingLeft,k=b.paddingRight,l=b.paddingTop,q=b.paddingBottom,n=function(r){return r.size},p=b.round?Math.round:Number,m=b.mode;i.unshift(null);h.visitAfter(function(r,s){r.depth=s;r.x=r.y=r.dx=r.dy=0;r.size=r.firstChild?pv.sum(r.childNodes,function(t){return t.size}):g.$size.apply(g,(i[0]=r,i))});i.shift();switch(b.order){case "ascending":h.sort(function(r,s){return r.size-s.size});break;
+case "descending":h.sort(function(r,s){return s.size-r.size});break;case "reverse":h.reverse();break}h.x=0;h.y=0;h.dx=b.width;h.dy=b.height;h.visitBefore(f)}};pv.Layout.Tree=function(){pv.Layout.Hierarchy.call(this)};pv.Layout.Tree.prototype=pv.extend(pv.Layout.Hierarchy).property("group",Number).property("breadth",Number).property("depth",Number).property("orient",String);pv.Layout.Tree.prototype.defaults=(new pv.Layout.Tree).extend(pv.Layout.Hierarchy.prototype.defaults).group(1).breadth(15).depth(60).orient("top");
+pv.Layout.Tree.prototype.buildImplied=function(b){function c(o){var v,w,y;if(o.firstChild){v=o.firstChild;w=o.lastChild;for(var z=y=v;z;z=z.nextSibling){c(z);y=f(z,y)}j(o);w=0.5*(v.prelim+w.prelim);if(v=o.previousSibling){o.prelim=v.prelim+l(o.depth,true);o.mod=o.prelim-w}else o.prelim=w}else if(v=o.previousSibling)o.prelim=v.prelim+l(o.depth,true)}function d(o,v,w){o.breadth=o.prelim+v;v+=o.mod;for(o=o.firstChild;o;o=o.nextSibling)d(o,v,w)}function f(o,v){var w=o.previousSibling;if(w){var y=o,z=
+o,C=w;w=o.parentNode.firstChild;var A=y.mod,D=z.mod,G=C.mod,E=w.mod;C=h(C);for(y=g(y);C&&y;){C=C;y=y;w=g(w);z=h(z);z.ancestor=o;var B=C.prelim+G-(y.prelim+A)+l(C.depth,false);if(B>0){i(k(C,o,v),o,B);A+=B;D+=B}G+=C.mod;A+=y.mod;E+=w.mod;D+=z.mod;C=h(C);y=g(y)}if(C&&!h(z)){z.thread=C;z.mod+=G-D}if(y&&!g(w)){w.thread=y;w.mod+=A-E;v=o}}return v}function g(o){return o.firstChild||o.thread}function h(o){return o.lastChild||o.thread}function i(o,v,w){var y=v.number-o.number;v.change-=w/y;v.shift+=w;o.change+=
+w/y;v.prelim+=w;v.mod+=w}function j(o){var v=0,w=0;for(o=o.lastChild;o;o=o.previousSibling){o.prelim+=v;o.mod+=v;w+=o.change;v+=o.shift+w}}function k(o,v,w){return o.ancestor.parentNode==v.parentNode?o.ancestor:w}function l(o,v){return(v?1:t+1)/(m=="radial"?o:1)}function q(o){return m=="radial"?o.breadth/r:0}function n(o){switch(m){case "left":return o.depth;case "right":return x-o.depth;case "top":case "bottom":return o.breadth+x/2;case "radial":return x/2+o.depth*Math.cos(q(o))}}function p(o){switch(m){case "left":case "right":return o.breadth+
+u/2;case "top":return o.depth;case "bottom":return u-o.depth;case "radial":return u/2+o.depth*Math.sin(q(o))}}if(!pv.Layout.Hierarchy.prototype.buildImplied.call(this,b)){var m=b.orient,r=b.depth,s=b.breadth,t=b.group,x=b.width,u=b.height;b=b.nodes[0];b.visitAfter(function(o,v){o.ancestor=o;o.prelim=0;o.mod=0;o.change=0;o.shift=0;o.number=o.previousSibling?o.previousSibling.number+1:0;o.depth=v});c(b);d(b,-b.prelim,0);b.visitAfter(function(o){o.breadth*=s;o.depth*=r;o.midAngle=q(o);o.x=n(o);o.y=p(o);
+if(o.firstChild)o.midAngle+=Math.PI;delete o.breadth;delete o.depth;delete o.ancestor;delete o.prelim;delete o.mod;delete o.change;delete o.shift;delete o.number;delete o.thread})}};pv.Layout.Indent=function(){pv.Layout.Hierarchy.call(this);this.link.interpolate("step-after")};pv.Layout.Indent.prototype=pv.extend(pv.Layout.Hierarchy).property("depth",Number).property("breadth",Number);pv.Layout.Indent.prototype.defaults=(new pv.Layout.Indent).extend(pv.Layout.Hierarchy.prototype.defaults).depth(15).breadth(15);
+pv.Layout.Indent.prototype.buildImplied=function(b){function c(i,j,k){i.x=g+k++*f;i.y=h+j++*d;i.midAngle=0;for(i=i.firstChild;i;i=i.nextSibling)j=c(i,j,k);return j}if(!pv.Layout.Hierarchy.prototype.buildImplied.call(this,b)){var d=b.breadth,f=b.depth,g=0,h=0;c(b.nodes[0],1,1)}};pv.Layout.Pack=function(){pv.Layout.Hierarchy.call(this);this.node.radius(function(b){return b.radius}).strokeStyle("rgb(31, 119, 180)").fillStyle("rgba(31, 119, 180, .25)");this.label.textAlign("center");delete this.link};
+pv.Layout.Pack.prototype=pv.extend(pv.Layout.Hierarchy).property("spacing",Number).property("order",String);pv.Layout.Pack.prototype.defaults=(new pv.Layout.Pack).extend(pv.Layout.Hierarchy.prototype.defaults).spacing(1).order("ascending");pv.Layout.Pack.prototype.$radius=function(){return 1};pv.Layout.Pack.prototype.size=function(b){this.$radius=typeof b=="function"?function(){return Math.sqrt(b.apply(this,arguments))}:(b=Math.sqrt(b),function(){return b});return this};
+pv.Layout.Pack.prototype.buildImplied=function(b){function c(n){var p=pv.Mark.stack;p.unshift(null);for(var m=0,r=n.length;m<r;m++){var s=n[m];if(!s.firstChild)s.radius=i.$radius.apply(i,(p[0]=s,p))}p.shift()}function d(n){var p=[];for(n=n.firstChild;n;n=n.nextSibling){if(n.firstChild)n.radius=d(n);n.n=n.p=n;p.push(n)}switch(b.order){case "ascending":p.sort(function(m,r){return m.radius-r.radius});break;case "descending":p.sort(function(m,r){return r.radius-m.radius});break;case "reverse":p.reverse();
+break}return f(p)}function f(n){function p(B){t=Math.min(B.x-B.radius,t);x=Math.max(B.x+B.radius,x);u=Math.min(B.y-B.radius,u);o=Math.max(B.y+B.radius,o)}function m(B,F){var H=B.n;B.n=F;F.p=B;F.n=H;H.p=F}function r(B,F){B.n=F;F.p=B}function s(B,F){var H=F.x-B.x,I=F.y-B.y;B=B.radius+F.radius;return B*B-H*H-I*I>0.0010}var t=Infinity,x=-Infinity,u=Infinity,o=-Infinity,v,w,y,z,C;v=n[0];v.x=-v.radius;v.y=0;p(v);if(n.length>1){w=n[1];w.x=w.radius;w.y=0;p(w);if(n.length>2){y=n[2];g(v,w,y);p(y);m(v,y);v.p=
+y;m(y,w);w=v.n;for(var A=3;A<n.length;A++){g(v,w,y=n[A]);var D=0,G=1,E=1;for(z=w.n;z!=w;z=z.n,G++)if(s(z,y)){D=1;break}if(D==1)for(C=v.p;C!=z.p;C=C.p,E++)if(s(C,y)){if(E<G){D=-1;z=C}break}if(D==0){m(v,y);w=y;p(y)}else if(D>0){r(v,z);w=z;A--}else if(D<0){r(z,w);v=z;A--}}}}v=(t+x)/2;w=(u+o)/2;for(A=y=0;A<n.length;A++){z=n[A];z.x-=v;z.y-=w;y=Math.max(y,z.radius+Math.sqrt(z.x*z.x+z.y*z.y))}return y+b.spacing}function g(n,p,m){var r=p.radius+m.radius,s=n.radius+m.radius,t=p.x-n.x;p=p.y-n.y;var x=Math.sqrt(t*
+t+p*p),u=(s*s+x*x-r*r)/(2*s*x);r=Math.acos(u);u=u*s;s=Math.sin(r)*s;t/=x;p/=x;m.x=n.x+u*t+s*p;m.y=n.y+u*p-s*t}function h(n,p,m,r){for(var s=n.firstChild;s;s=s.nextSibling){s.x+=n.x;s.y+=n.y;h(s,p,m,r)}n.x=p+r*n.x;n.y=m+r*n.y;n.radius*=r}if(!pv.Layout.Hierarchy.prototype.buildImplied.call(this,b)){var i=this,j=b.nodes,k=j[0];c(j);k.x=0;k.y=0;k.radius=d(k);j=this.width();var l=this.height(),q=1/Math.max(2*k.radius/j,2*k.radius/l);h(k,j/2,l/2,q)}};
+pv.Layout.Force=function(){pv.Layout.Network.call(this);this.link.lineWidth(function(b,c){return Math.sqrt(c.linkValue)*1.5});this.label.textAlign("center")};
+pv.Layout.Force.prototype=pv.extend(pv.Layout.Network).property("bound",Boolean).property("iterations",Number).property("dragConstant",Number).property("chargeConstant",Number).property("chargeMinDistance",Number).property("chargeMaxDistance",Number).property("chargeTheta",Number).property("springConstant",Number).property("springDamping",Number).property("springLength",Number);pv.Layout.Force.prototype.defaults=(new pv.Layout.Force).extend(pv.Layout.Network.prototype.defaults).dragConstant(0.1).chargeConstant(-40).chargeMinDistance(2).chargeMaxDistance(500).chargeTheta(0.9).springConstant(0.1).springDamping(0.3).springLength(20);
+pv.Layout.Force.prototype.buildImplied=function(b){function c(q){return q.fix?1:q.vx*q.vx+q.vy*q.vy}if(pv.Layout.Network.prototype.buildImplied.call(this,b)){if(b=b.$force){b.next=this.binds.$force;this.binds.$force=b}}else{for(var d=this,f=b.nodes,g=b.links,h=b.iterations,i=b.width,j=b.height,k=0,l;k<f.length;k++){l=f[k];if(isNaN(l.x))l.x=i/2+40*Math.random()-20;if(isNaN(l.y))l.y=j/2+40*Math.random()-20}l=pv.simulation(f);l.force(pv.Force.drag(b.dragConstant));l.force(pv.Force.charge(b.chargeConstant).domain(b.chargeMinDistance,
+b.chargeMaxDistance).theta(b.chargeTheta));l.force(pv.Force.spring(b.springConstant).damping(b.springDamping).length(b.springLength).links(g));l.constraint(pv.Constraint.position());b.bound&&l.constraint(pv.Constraint.bound().x(6,i-6).y(6,j-6));if(h==null){l.step();l.step();b.$force=this.binds.$force={next:this.binds.$force,nodes:f,min:1.0E-4*(g.length+1),sim:l};if(!this.$timer)this.$timer=setInterval(function(){for(var q=false,n=d.binds.$force;n;n=n.next)if(pv.max(n.nodes,c)>n.min){n.sim.step();
+q=true}q&&d.render()},42)}else for(k=0;k<h;k++)l.step()}};pv.Layout.Cluster=function(){pv.Layout.Hierarchy.call(this);var b,c=this.buildImplied;this.buildImplied=function(d){c.call(this,d);b=/^(top|bottom)$/.test(d.orient)?"step-before":/^(left|right)$/.test(d.orient)?"step-after":"linear"};this.link.interpolate(function(){return b})};
+pv.Layout.Cluster.prototype=pv.extend(pv.Layout.Hierarchy).property("group",Number).property("orient",String).property("innerRadius",Number).property("outerRadius",Number);pv.Layout.Cluster.prototype.defaults=(new pv.Layout.Cluster).extend(pv.Layout.Hierarchy.prototype.defaults).group(0).orient("top");
+pv.Layout.Cluster.prototype.buildImplied=function(b){if(!pv.Layout.Hierarchy.prototype.buildImplied.call(this,b)){var c=b.nodes[0],d=b.group,f,g,h=0,i=0.5-d/2,j=undefined;c.visitAfter(function(k){if(k.firstChild)k.depth=1+pv.max(k.childNodes,function(l){return l.depth});else{if(d&&j!=k.parentNode){j=k.parentNode;h+=d}h++;k.depth=0}});f=1/h;g=1/c.depth;j=undefined;c.visitAfter(function(k){if(k.firstChild)k.breadth=pv.mean(k.childNodes,function(l){return l.breadth});else{if(d&&j!=k.parentNode){j=k.parentNode;
+i+=d}k.breadth=f*i++}k.depth=1-k.depth*g});c.visitAfter(function(k){k.minBreadth=k.firstChild?k.firstChild.minBreadth:k.breadth-f/2;k.maxBreadth=k.firstChild?k.lastChild.maxBreadth:k.breadth+f/2});c.visitBefore(function(k){k.minDepth=k.parentNode?k.parentNode.maxDepth:0;k.maxDepth=k.parentNode?k.depth+c.depth:k.minDepth+2*c.depth});c.minDepth=-g;pv.Layout.Hierarchy.NodeLink.buildImplied.call(this,b)}};pv.Layout.Cluster.Fill=function(){pv.Layout.Cluster.call(this);pv.Layout.Hierarchy.Fill.constructor.call(this)};
+pv.Layout.Cluster.Fill.prototype=pv.extend(pv.Layout.Cluster);pv.Layout.Cluster.Fill.prototype.buildImplied=function(b){pv.Layout.Cluster.prototype.buildImplied.call(this,b)||pv.Layout.Hierarchy.Fill.buildImplied.call(this,b)};pv.Layout.Partition=function(){pv.Layout.Hierarchy.call(this)};pv.Layout.Partition.prototype=pv.extend(pv.Layout.Hierarchy).property("order",String).property("orient",String).property("innerRadius",Number).property("outerRadius",Number);
+pv.Layout.Partition.prototype.defaults=(new pv.Layout.Partition).extend(pv.Layout.Hierarchy.prototype.defaults).orient("top");pv.Layout.Partition.prototype.$size=function(){return 1};pv.Layout.Partition.prototype.size=function(b){this.$size=b;return this};
+pv.Layout.Partition.prototype.buildImplied=function(b){if(!pv.Layout.Hierarchy.prototype.buildImplied.call(this,b)){var c=this,d=b.nodes[0],f=pv.Mark.stack,g=0;f.unshift(null);d.visitAfter(function(i,j){if(j>g)g=j;i.size=i.firstChild?pv.sum(i.childNodes,function(k){return k.size}):c.$size.apply(c,(f[0]=i,f))});f.shift();switch(b.order){case "ascending":d.sort(function(i,j){return i.size-j.size});break;case "descending":d.sort(function(i,j){return j.size-i.size});break}var h=1/g;d.minBreadth=0;d.breadth=
+0.5;d.maxBreadth=1;d.visitBefore(function(i){for(var j=i.minBreadth,k=i.maxBreadth-j,l=i.firstChild;l;l=l.nextSibling){l.minBreadth=j;l.maxBreadth=j+=l.size/i.size*k;l.breadth=(j+l.minBreadth)/2}});d.visitAfter(function(i,j){i.minDepth=(j-1)*h;i.maxDepth=i.depth=j*h});pv.Layout.Hierarchy.NodeLink.buildImplied.call(this,b)}};pv.Layout.Partition.Fill=function(){pv.Layout.Partition.call(this);pv.Layout.Hierarchy.Fill.constructor.call(this)};pv.Layout.Partition.Fill.prototype=pv.extend(pv.Layout.Partition);
+pv.Layout.Partition.Fill.prototype.buildImplied=function(b){pv.Layout.Partition.prototype.buildImplied.call(this,b)||pv.Layout.Hierarchy.Fill.buildImplied.call(this,b)};pv.Layout.Arc=function(){pv.Layout.Network.call(this);var b,c,d,f=this.buildImplied;this.buildImplied=function(g){f.call(this,g);c=g.directed;b=g.orient=="radial"?"linear":"polar";d=g.orient=="right"||g.orient=="top"};this.link.data(function(g){var h=g.sourceNode;g=g.targetNode;return d!=(c||h.breadth<g.breadth)?[h,g]:[g,h]}).interpolate(function(){return b})};
+pv.Layout.Arc.prototype=pv.extend(pv.Layout.Network).property("orient",String).property("directed",Boolean);pv.Layout.Arc.prototype.defaults=(new pv.Layout.Arc).extend(pv.Layout.Network.prototype.defaults).orient("bottom");pv.Layout.Arc.prototype.sort=function(b){this.$sort=b;return this};
+pv.Layout.Arc.prototype.buildImplied=function(b){function c(m){switch(h){case "top":return-Math.PI/2;case "bottom":return Math.PI/2;case "left":return Math.PI;case "right":return 0;case "radial":return(m-0.25)*2*Math.PI}}function d(m){switch(h){case "top":case "bottom":return m*k;case "left":return 0;case "right":return k;case "radial":return k/2+q*Math.cos(c(m))}}function f(m){switch(h){case "top":return 0;case "bottom":return l;case "left":case "right":return m*l;case "radial":return l/2+q*Math.sin(c(m))}}
+if(!pv.Layout.Network.prototype.buildImplied.call(this,b)){var g=b.nodes,h=b.orient,i=this.$sort,j=pv.range(g.length),k=b.width,l=b.height,q=Math.min(k,l)/2;i&&j.sort(function(m,r){return i(g[m],g[r])});for(b=0;b<g.length;b++){var n=g[j[b]],p=n.breadth=(b+0.5)/g.length;n.x=d(p);n.y=f(p);n.midAngle=c(p)}}};
+pv.Layout.Horizon=function(){pv.Layout.call(this);var b=this,c,d,f,g,h,i,j=this.buildImplied;this.buildImplied=function(k){j.call(this,k);c=k.bands;d=k.mode;f=Math.round((d=="color"?0.5:1)*k.height);g=k.backgroundStyle;h=pv.ramp(g,k.negativeStyle).domain(0,c);i=pv.ramp(g,k.positiveStyle).domain(0,c)};c=(new pv.Panel).data(function(){return pv.range(c*2)}).overflow("hidden").height(function(){return f}).top(function(k){return d=="color"?(k&1)*f:0}).fillStyle(function(k){return k?null:g});this.band=
+(new pv.Mark).top(function(k,l){return d=="mirror"&&l&1?(l+1>>1)*f:null}).bottom(function(k,l){return d=="mirror"?l&1?null:(l+1>>1)*-f:(l&1||-1)*(l+1>>1)*f}).fillStyle(function(k,l){return(l&1?h:i)((l>>1)+1)});this.band.add=function(k){return b.add(pv.Panel).extend(c).add(k).extend(this)}};pv.Layout.Horizon.prototype=pv.extend(pv.Layout).property("bands",Number).property("mode",String).property("backgroundStyle",pv.color).property("positiveStyle",pv.color).property("negativeStyle",pv.color);
+pv.Layout.Horizon.prototype.defaults=(new pv.Layout.Horizon).extend(pv.Layout.prototype.defaults).bands(2).mode("offset").backgroundStyle("white").positiveStyle("#1f77b4").negativeStyle("#d62728");
+pv.Layout.Rollup=function(){pv.Layout.Network.call(this);var b=this,c,d,f=b.buildImplied;this.buildImplied=function(g){f.call(this,g);c=g.$rollup.nodes;d=g.$rollup.links};this.node.data(function(){return c}).size(function(g){return g.nodes.length*20});this.link.interpolate("polar").eccentricity(0.8);this.link.add=function(g){return b.add(pv.Panel).data(function(){return d}).add(g).extend(this)}};pv.Layout.Rollup.prototype=pv.extend(pv.Layout.Network).property("directed",Boolean);
+pv.Layout.Rollup.prototype.x=function(b){this.$x=pv.functor(b);return this};pv.Layout.Rollup.prototype.y=function(b){this.$y=pv.functor(b);return this};
+pv.Layout.Rollup.prototype.buildImplied=function(b){function c(r){return i[r]+","+j[r]}if(!pv.Layout.Network.prototype.buildImplied.call(this,b)){var d=b.nodes,f=b.links,g=b.directed,h=d.length,i=[],j=[],k=0,l={},q={},n=pv.Mark.stack,p={parent:this};n.unshift(null);for(var m=0;m<h;m++){p.index=m;n[0]=d[m];i[m]=this.$x.apply(p,n);j[m]=this.$y.apply(p,n)}n.shift();for(m=0;m<d.length;m++){h=c(m);n=l[h];if(!n){n=l[h]=pv.extend(d[m]);n.index=k++;n.x=i[m];n.y=j[m];n.nodes=[]}n.nodes.push(d[m])}for(m=0;m<
+f.length;m++){k=f[m].targetNode;d=l[c(f[m].sourceNode.index)];k=l[c(k.index)];h=!g&&d.index>k.index?k.index+","+d.index:d.index+","+k.index;(n=q[h])||(n=q[h]={sourceNode:d,targetNode:k,linkValue:0,links:[]});n.links.push(f[m]);n.linkValue+=f[m].linkValue}b.$rollup={nodes:pv.values(l),links:pv.values(q)}}};
+pv.Layout.Matrix=function(){pv.Layout.Network.call(this);var b,c,d,f,g,h=this.buildImplied;this.buildImplied=function(i){h.call(this,i);b=i.nodes.length;c=i.width/b;d=i.height/b;f=i.$matrix.labels;g=i.$matrix.pairs};this.link.data(function(){return g}).left(function(){return c*(this.index%b)}).top(function(){return d*Math.floor(this.index/b)}).width(function(){return c}).height(function(){return d}).lineWidth(1.5).strokeStyle("#fff").fillStyle(function(i){return i.linkValue?"#555":"#eee"}).parent=
+this;delete this.link.add;this.label.data(function(){return f}).left(function(){return this.index&1?c*((this.index>>1)+0.5):0}).top(function(){return this.index&1?0:d*((this.index>>1)+0.5)}).textMargin(4).textAlign(function(){return this.index&1?"left":"right"}).textAngle(function(){return this.index&1?-Math.PI/2:0});delete this.node};pv.Layout.Matrix.prototype=pv.extend(pv.Layout.Network).property("directed",Boolean);pv.Layout.Matrix.prototype.sort=function(b){this.$sort=b;return this};
+pv.Layout.Matrix.prototype.buildImplied=function(b){if(!pv.Layout.Network.prototype.buildImplied.call(this,b)){var c=b.nodes,d=b.links,f=this.$sort,g=c.length,h=pv.range(g),i=[],j=[],k={};b.$matrix={labels:i,pairs:j};f&&h.sort(function(m,r){return f(c[m],c[r])});for(var l=0;l<g;l++)for(var q=0;q<g;q++){var n=h[l],p=h[q];j.push(k[n+"."+p]={row:l,col:q,sourceNode:c[n],targetNode:c[p],linkValue:0})}for(l=0;l<g;l++){n=h[l];i.push(c[n],c[n])}for(l=0;l<d.length;l++){i=d[l];g=i.sourceNode.index;h=i.targetNode.index;
+i=i.linkValue;k[g+"."+h].linkValue+=i;b.directed||(k[h+"."+g].linkValue+=i)}}};
+pv.Layout.Bullet=function(){pv.Layout.call(this);var b=this,c=b.buildImplied,d=b.x=pv.Scale.linear(),f,g,h,i,j;this.buildImplied=function(k){c.call(this,j=k);f=k.orient;g=/^left|right$/.test(f);h=pv.ramp("#bbb","#eee").domain(0,Math.max(1,j.ranges.length-1));i=pv.ramp("steelblue","lightsteelblue").domain(0,Math.max(1,j.measures.length-1))};(this.range=new pv.Mark).data(function(){return j.ranges}).reverse(true).left(function(){return f=="left"?0:null}).top(function(){return f=="top"?0:null}).right(function(){return f==
+"right"?0:null}).bottom(function(){return f=="bottom"?0:null}).width(function(k){return g?d(k):null}).height(function(k){return g?null:d(k)}).fillStyle(function(){return h(this.index)}).antialias(false).parent=b;(this.measure=new pv.Mark).extend(this.range).data(function(){return j.measures}).left(function(){return f=="left"?0:g?null:this.parent.width()/3.25}).top(function(){return f=="top"?0:g?this.parent.height()/3.25:null}).right(function(){return f=="right"?0:g?null:this.parent.width()/3.25}).bottom(function(){return f==
+"bottom"?0:g?this.parent.height()/3.25:null}).fillStyle(function(){return i(this.index)}).parent=b;(this.marker=new pv.Mark).data(function(){return j.markers}).left(function(k){return f=="left"?d(k):g?null:this.parent.width()/2}).top(function(k){return f=="top"?d(k):g?this.parent.height()/2:null}).right(function(k){return f=="right"?d(k):null}).bottom(function(k){return f=="bottom"?d(k):null}).strokeStyle("black").shape("bar").angle(function(){return g?0:Math.PI/2}).parent=b;(this.tick=new pv.Mark).data(function(){return d.ticks(7)}).left(function(k){return f==
+"left"?d(k):null}).top(function(k){return f=="top"?d(k):null}).right(function(k){return f=="right"?d(k):g?null:-6}).bottom(function(k){return f=="bottom"?d(k):g?-8:null}).height(function(){return g?6:null}).width(function(){return g?null:6}).parent=b};pv.Layout.Bullet.prototype=pv.extend(pv.Layout).property("orient",String).property("ranges").property("markers").property("measures").property("maximum",Number);pv.Layout.Bullet.prototype.defaults=(new pv.Layout.Bullet).extend(pv.Layout.prototype.defaults).orient("left").ranges([]).markers([]).measures([]);
+pv.Layout.Bullet.prototype.buildImplied=function(b){pv.Layout.prototype.buildImplied.call(this,b);var c=this.parent[/^left|right$/.test(b.orient)?"width":"height"]();b.maximum=b.maximum||pv.max([].concat(b.ranges,b.markers,b.measures));this.x.domain(0,b.maximum).range(0,c)};pv.Behavior={};
+pv.Behavior.drag=function(){function b(k){g=this.index;f=this.scene;var l=this.mouse();i=((h=k).fix=pv.vector(k.x,k.y)).minus(l);j={x:this.parent.width()-(k.dx||0),y:this.parent.height()-(k.dy||0)};f.mark.context(f,g,function(){this.render()});pv.Mark.dispatch("dragstart",f,g)}function c(){if(f){f.mark.context(f,g,function(){var k=this.mouse();h.x=h.fix.x=Math.max(0,Math.min(i.x+k.x,j.x));h.y=h.fix.y=Math.max(0,Math.min(i.y+k.y,j.y));this.render()});pv.Mark.dispatch("drag",f,g)}}function d(){if(f){h.fix=
+null;f.mark.context(f,g,function(){this.render()});pv.Mark.dispatch("dragend",f,g);f=null}}var f,g,h,i,j;pv.listen(window,"mousemove",c);pv.listen(window,"mouseup",d);return b};
+pv.Behavior.point=function(b){function c(l,q){l=l[q];q={cost:Infinity};for(var n=0,p=l.visible&&l.children.length;n<p;n++){var m=l.children[n],r=m.mark,s;if(r.type=="panel"){r.scene=m;for(var t=0,x=m.length;t<x;t++){r.index=t;s=c(m,t);if(s.cost<q.cost)q=s}delete r.scene;delete r.index}else if(r.$handlers.point){r=r.mouse();t=0;for(x=m.length;t<x;t++){var u=m[t];s=r.x-u.left-(u.width||0)/2;u=r.y-u.top-(u.height||0)/2;var o=i*s*s+j*u*u;if(o<q.cost){q.distance=s*s+u*u;q.cost=o;q.scene=m;q.index=t}}}}return q}
+function d(){var l=c(this.scene,this.index);if(l.cost==Infinity||l.distance>k)l=null;if(g){if(l&&g.scene==l.scene&&g.index==l.index)return;pv.Mark.dispatch("unpoint",g.scene,g.index)}if(g=l){pv.Mark.dispatch("point",l.scene,l.index);pv.listen(this.root.canvas(),"mouseout",f)}}function f(l){if(g&&!pv.ancestor(this,l.relatedTarget)){pv.Mark.dispatch("unpoint",g.scene,g.index);g=null}}var g,h=null,i=1,j=1,k=arguments.length?b*b:900;d.collapse=function(l){if(arguments.length){h=String(l);switch(h){case "y":i=
+1;j=0;break;case "x":i=0;j=1;break;default:j=i=1;break}return d}return h};return d};
+pv.Behavior.select=function(){function b(j){g=this.index;f=this.scene;i=this.mouse();h=j;h.x=i.x;h.y=i.y;h.dx=h.dy=0;pv.Mark.dispatch("selectstart",f,g)}function c(){if(f){f.mark.context(f,g,function(){var j=this.mouse();h.x=Math.max(0,Math.min(i.x,j.x));h.y=Math.max(0,Math.min(i.y,j.y));h.dx=Math.min(this.width(),Math.max(j.x,i.x))-h.x;h.dy=Math.min(this.height(),Math.max(j.y,i.y))-h.y;this.render()});pv.Mark.dispatch("select",f,g)}}function d(){if(f){pv.Mark.dispatch("selectend",f,g);f=null}}var f,
+g,h,i;pv.listen(window,"mousemove",c);pv.listen(window,"mouseup",d);return b};
+pv.Behavior.resize=function(b){function c(k){h=this.index;g=this.scene;j=this.mouse();i=k;switch(b){case "left":j.x=i.x+i.dx;break;case "right":j.x=i.x;break;case "top":j.y=i.y+i.dy;break;case "bottom":j.y=i.y;break}pv.Mark.dispatch("resizestart",g,h)}function d(){if(g){g.mark.context(g,h,function(){var k=this.mouse();i.x=Math.max(0,Math.min(j.x,k.x));i.y=Math.max(0,Math.min(j.y,k.y));i.dx=Math.min(this.parent.width(),Math.max(k.x,j.x))-i.x;i.dy=Math.min(this.parent.height(),Math.max(k.y,j.y))-i.y;
+this.render()});pv.Mark.dispatch("resize",g,h)}}function f(){if(g){pv.Mark.dispatch("resizeend",g,h);g=null}}var g,h,i,j;pv.listen(window,"mousemove",d);pv.listen(window,"mouseup",f);return c};
+pv.Behavior.pan=function(){function b(){g=this.index;f=this.scene;i=pv.vector(pv.event.pageX,pv.event.pageY);h=this.transform();j=1/(h.k*this.scale);if(k)k={x:(1-h.k)*this.width(),y:(1-h.k)*this.height()}}function c(){if(f){f.mark.context(f,g,function(){var l=h.translate((pv.event.pageX-i.x)*j,(pv.event.pageY-i.y)*j);if(k){l.x=Math.max(k.x,Math.min(0,l.x));l.y=Math.max(k.y,Math.min(0,l.y))}this.transform(l).render()});pv.Mark.dispatch("pan",f,g)}}function d(){f=null}var f,g,h,i,j,k;b.bound=function(l){if(arguments.length){k=
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new file mode 100644
index 0000000000000000000000000000000000000000..c2f5164618eebcc44b0186f594ccb8092639c670
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/kjweb_async/purify.min.js
@@ -0,0 +1,3 @@
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diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/kjweb_async/svg-path-properties.min.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/kjweb_async/svg-path-properties.min.js
new file mode 100644
index 0000000000000000000000000000000000000000..88d47e0de4c54f881083164c20045a7e8b621caf
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/kjweb_async/svg-path-properties.min.js
@@ -0,0 +1,2 @@
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--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/audioscheduler_nodes.py
@@ -0,0 +1,251 @@
+# to be used with https://github.com/a1lazydog/ComfyUI-AudioScheduler 
+import torch
+from torchvision.transforms import functional as TF
+from PIL import Image, ImageDraw
+import numpy as np
+from ..utility.utility import pil2tensor
+from nodes import MAX_RESOLUTION
+
+class NormalizedAmplitudeToMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                    "normalized_amp": ("NORMALIZED_AMPLITUDE",),
+                    "width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                    "height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                    "frame_offset": ("INT", {"default": 0,"min": -255, "max": 255, "step": 1}),
+                    "location_x": ("INT", {"default": 256,"min": 0, "max": 4096, "step": 1}),
+                    "location_y": ("INT", {"default": 256,"min": 0, "max": 4096, "step": 1}),
+                    "size": ("INT", {"default": 128,"min": 8, "max": 4096, "step": 1}),
+                    "shape": (
+                        [   
+                            'none',
+                            'circle',
+                            'square',
+                            'triangle',
+                        ],
+                        {
+                        "default": 'none'
+                        }),
+                    "color": (
+                        [   
+                            'white',
+                            'amplitude',
+                        ],
+                        {
+                        "default": 'amplitude'
+                        }),
+                     },}
+
+    CATEGORY = "KJNodes/audio"
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "convert"
+    DESCRIPTION = """
+Works as a bridge to the AudioScheduler -nodes:  
+https://github.com/a1lazydog/ComfyUI-AudioScheduler  
+Creates masks based on the normalized amplitude.
+"""
+
+    def convert(self, normalized_amp, width, height, frame_offset, shape, location_x, location_y, size, color):
+        # Ensure normalized_amp is an array and within the range [0, 1]
+        normalized_amp = np.clip(normalized_amp, 0.0, 1.0)
+
+        # Offset the amplitude values by rolling the array
+        normalized_amp = np.roll(normalized_amp, frame_offset)
+        
+        # Initialize an empty list to hold the image tensors
+        out = []
+        # Iterate over each amplitude value to create an image
+        for amp in normalized_amp:
+            # Scale the amplitude value to cover the full range of grayscale values
+            if color == 'amplitude':
+                grayscale_value = int(amp * 255)
+            elif color == 'white':
+                grayscale_value = 255
+            # Convert the grayscale value to an RGB format
+            gray_color = (grayscale_value, grayscale_value, grayscale_value)
+            finalsize = size * amp
+            
+            if shape == 'none':
+                shapeimage = Image.new("RGB", (width, height), gray_color)
+            else:
+                shapeimage = Image.new("RGB", (width, height), "black")
+
+            draw = ImageDraw.Draw(shapeimage)
+            if shape == 'circle' or shape == 'square':
+                # Define the bounding box for the shape
+                left_up_point = (location_x - finalsize, location_y - finalsize)
+                right_down_point = (location_x + finalsize,location_y + finalsize)
+                two_points = [left_up_point, right_down_point]
+
+                if shape == 'circle':
+                    draw.ellipse(two_points, fill=gray_color)
+                elif shape == 'square':
+                    draw.rectangle(two_points, fill=gray_color)
+                    
+            elif shape == 'triangle':
+                # Define the points for the triangle
+                left_up_point = (location_x - finalsize, location_y + finalsize) # bottom left
+                right_down_point = (location_x + finalsize, location_y + finalsize) # bottom right
+                top_point = (location_x, location_y) # top point
+                draw.polygon([top_point, left_up_point, right_down_point], fill=gray_color)
+            
+            shapeimage = pil2tensor(shapeimage)
+            mask = shapeimage[:, :, :, 0]
+            out.append(mask)
+        
+        return (torch.cat(out, dim=0),)
+    
+class NormalizedAmplitudeToFloatList:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                    "normalized_amp": ("NORMALIZED_AMPLITUDE",),
+                     },}
+
+    CATEGORY = "KJNodes/audio"
+    RETURN_TYPES = ("FLOAT",)
+    FUNCTION = "convert"
+    DESCRIPTION = """
+Works as a bridge to the AudioScheduler -nodes:  
+https://github.com/a1lazydog/ComfyUI-AudioScheduler  
+Creates a list of floats from the normalized amplitude.
+"""
+
+    def convert(self, normalized_amp):
+        # Ensure normalized_amp is an array and within the range [0, 1]
+        normalized_amp = np.clip(normalized_amp, 0.0, 1.0)
+        return (normalized_amp.tolist(),)
+
+class OffsetMaskByNormalizedAmplitude:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "normalized_amp": ("NORMALIZED_AMPLITUDE",),
+                "mask": ("MASK",),
+                "x": ("INT", { "default": 0, "min": -4096, "max": MAX_RESOLUTION, "step": 1, "display": "number" }),
+                "y": ("INT", { "default": 0, "min": -4096, "max": MAX_RESOLUTION, "step": 1, "display": "number" }),
+                "rotate": ("BOOLEAN", { "default": False }),
+                "angle_multiplier": ("FLOAT", { "default": 0.0, "min": -1.0, "max": 1.0, "step": 0.001, "display": "number" }),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    RETURN_NAMES = ("mask",)
+    FUNCTION = "offset"
+    CATEGORY = "KJNodes/audio"
+    DESCRIPTION = """
+Works as a bridge to the AudioScheduler -nodes:  
+https://github.com/a1lazydog/ComfyUI-AudioScheduler  
+Offsets masks based on the normalized amplitude.
+"""
+
+    def offset(self, mask, x, y, angle_multiplier, rotate, normalized_amp):
+
+         # Ensure normalized_amp is an array and within the range [0, 1]
+        offsetmask = mask.clone()
+        normalized_amp = np.clip(normalized_amp, 0.0, 1.0)
+       
+        batch_size, height, width = mask.shape
+
+        if rotate:
+            for i in range(batch_size):
+                rotation_amp = int(normalized_amp[i] * (360 * angle_multiplier))
+                rotation_angle = rotation_amp
+                offsetmask[i] = TF.rotate(offsetmask[i].unsqueeze(0), rotation_angle).squeeze(0)
+        if x != 0 or y != 0:
+            for i in range(batch_size):
+                offset_amp = normalized_amp[i] * 10
+                shift_x = min(x*offset_amp, width-1)
+                shift_y = min(y*offset_amp, height-1)
+                if shift_x != 0:
+                    offsetmask[i] = torch.roll(offsetmask[i], shifts=int(shift_x), dims=1)
+                if shift_y != 0:
+                    offsetmask[i] = torch.roll(offsetmask[i], shifts=int(shift_y), dims=0)
+        
+        return offsetmask,
+
+class ImageTransformByNormalizedAmplitude:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "normalized_amp": ("NORMALIZED_AMPLITUDE",),
+            "zoom_scale": ("FLOAT", { "default": 0.0, "min": -1.0, "max": 1.0, "step": 0.001, "display": "number" }),
+            "x_offset": ("INT", { "default": 0, "min": (1 -MAX_RESOLUTION), "max": MAX_RESOLUTION, "step": 1, "display": "number" }),
+            "y_offset": ("INT", { "default": 0, "min": (1 -MAX_RESOLUTION), "max": MAX_RESOLUTION, "step": 1, "display": "number" }),
+            "cumulative": ("BOOLEAN", { "default": False }),
+            "image": ("IMAGE",),
+        }}
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "amptransform"
+    CATEGORY = "KJNodes/audio"
+    DESCRIPTION = """
+Works as a bridge to the AudioScheduler -nodes:  
+https://github.com/a1lazydog/ComfyUI-AudioScheduler  
+Transforms image based on the normalized amplitude.
+"""
+
+    def amptransform(self, image, normalized_amp, zoom_scale, cumulative, x_offset, y_offset):
+        # Ensure normalized_amp is an array and within the range [0, 1]
+        normalized_amp = np.clip(normalized_amp, 0.0, 1.0)
+        transformed_images = []
+
+        # Initialize the cumulative zoom factor
+        prev_amp = 0.0
+
+        for i in range(image.shape[0]):
+            img = image[i]  # Get the i-th image in the batch
+            amp = normalized_amp[i]  # Get the corresponding amplitude value
+
+            # Incrementally increase the cumulative zoom factor
+            if cumulative:
+                prev_amp += amp
+                amp += prev_amp
+
+            # Convert the image tensor from BxHxWxC to CxHxW format expected by torchvision
+            img = img.permute(2, 0, 1)
+            
+            # Convert PyTorch tensor to PIL Image for processing
+            pil_img = TF.to_pil_image(img)
+            
+            # Calculate the crop size based on the amplitude
+            width, height = pil_img.size
+            crop_size = int(min(width, height) * (1 - amp * zoom_scale))
+            crop_size = max(crop_size, 1)
+            
+            # Calculate the crop box coordinates (centered crop)
+            left = (width - crop_size) // 2
+            top = (height - crop_size) // 2
+            right = (width + crop_size) // 2
+            bottom = (height + crop_size) // 2
+            
+            # Crop and resize back to original size
+            cropped_img = TF.crop(pil_img, top, left, crop_size, crop_size)
+            resized_img = TF.resize(cropped_img, (height, width))
+            
+            # Convert back to tensor in CxHxW format
+            tensor_img = TF.to_tensor(resized_img)
+            
+            # Convert the tensor back to BxHxWxC format
+            tensor_img = tensor_img.permute(1, 2, 0)
+            
+            # Offset the image based on the amplitude
+            offset_amp = amp * 10  # Calculate the offset magnitude based on the amplitude
+            shift_x = min(x_offset * offset_amp, img.shape[1] - 1)  # Calculate the shift in x direction
+            shift_y = min(y_offset * offset_amp, img.shape[0] - 1)  # Calculate the shift in y direction
+
+            # Apply the offset to the image tensor
+            if shift_x != 0:
+                tensor_img = torch.roll(tensor_img, shifts=int(shift_x), dims=1)
+            if shift_y != 0:
+                tensor_img = torch.roll(tensor_img, shifts=int(shift_y), dims=0)
+
+            # Add to the list
+            transformed_images.append(tensor_img)
+        
+        # Stack all transformed images into a batch
+        transformed_batch = torch.stack(transformed_images)
+        
+        return (transformed_batch,)
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/batchcrop_nodes.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/batchcrop_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..61e7446f7567f74421d4b05742cc3a340fec73c9
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/batchcrop_nodes.py
@@ -0,0 +1,757 @@
+from ..utility.utility import tensor2pil, pil2tensor
+from PIL import Image, ImageDraw, ImageFilter
+import numpy as np
+import torch
+from torchvision.transforms import Resize, CenterCrop, InterpolationMode
+import math
+
+#based on nodes from mtb https://github.com/melMass/comfy_mtb
+
+def bbox_to_region(bbox, target_size=None):
+    bbox = bbox_check(bbox, target_size)
+    return (bbox[0], bbox[1], bbox[0] + bbox[2], bbox[1] + bbox[3])
+
+def bbox_check(bbox, target_size=None):
+    if not target_size:
+        return bbox
+
+    new_bbox = (
+        bbox[0],
+        bbox[1],
+        min(target_size[0] - bbox[0], bbox[2]),
+        min(target_size[1] - bbox[1], bbox[3]),
+    )
+    return new_bbox
+
+class BatchCropFromMask:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "original_images": ("IMAGE",),
+                "masks": ("MASK",),
+                "crop_size_mult": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}),
+                "bbox_smooth_alpha": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
+            },
+        }
+
+    RETURN_TYPES = (
+        "IMAGE",
+        "IMAGE",
+        "BBOX",
+        "INT",
+        "INT",
+    )
+    RETURN_NAMES = (
+        "original_images",
+        "cropped_images",
+        "bboxes",
+        "width",
+        "height",
+    )
+    FUNCTION = "crop"
+    CATEGORY = "KJNodes/masking"
+
+    def smooth_bbox_size(self, prev_bbox_size, curr_bbox_size, alpha):
+        if alpha == 0:
+            return prev_bbox_size
+        return round(alpha * curr_bbox_size + (1 - alpha) * prev_bbox_size)
+
+    def smooth_center(self, prev_center, curr_center, alpha=0.5):
+        if alpha == 0:
+            return prev_center
+        return (
+            round(alpha * curr_center[0] + (1 - alpha) * prev_center[0]),
+            round(alpha * curr_center[1] + (1 - alpha) * prev_center[1])
+        )
+
+    def crop(self, masks, original_images, crop_size_mult, bbox_smooth_alpha):
+ 
+        bounding_boxes = []
+        cropped_images = []
+
+        self.max_bbox_width = 0
+        self.max_bbox_height = 0
+
+        # First, calculate the maximum bounding box size across all masks
+        curr_max_bbox_width = 0
+        curr_max_bbox_height = 0
+        for mask in masks:
+            _mask = tensor2pil(mask)[0]
+            non_zero_indices = np.nonzero(np.array(_mask))
+            min_x, max_x = np.min(non_zero_indices[1]), np.max(non_zero_indices[1])
+            min_y, max_y = np.min(non_zero_indices[0]), np.max(non_zero_indices[0])
+            width = max_x - min_x
+            height = max_y - min_y
+            curr_max_bbox_width = max(curr_max_bbox_width, width)
+            curr_max_bbox_height = max(curr_max_bbox_height, height)
+
+        # Smooth the changes in the bounding box size
+        self.max_bbox_width = self.smooth_bbox_size(self.max_bbox_width, curr_max_bbox_width, bbox_smooth_alpha)
+        self.max_bbox_height = self.smooth_bbox_size(self.max_bbox_height, curr_max_bbox_height, bbox_smooth_alpha)
+
+        # Apply the crop size multiplier
+        self.max_bbox_width = round(self.max_bbox_width * crop_size_mult)
+        self.max_bbox_height = round(self.max_bbox_height * crop_size_mult)
+        bbox_aspect_ratio = self.max_bbox_width / self.max_bbox_height
+
+        # Then, for each mask and corresponding image...
+        for i, (mask, img) in enumerate(zip(masks, original_images)):
+            _mask = tensor2pil(mask)[0]
+            non_zero_indices = np.nonzero(np.array(_mask))
+            min_x, max_x = np.min(non_zero_indices[1]), np.max(non_zero_indices[1])
+            min_y, max_y = np.min(non_zero_indices[0]), np.max(non_zero_indices[0])
+            
+            # Calculate center of bounding box
+            center_x = np.mean(non_zero_indices[1])
+            center_y = np.mean(non_zero_indices[0])
+            curr_center = (round(center_x), round(center_y))
+
+            # If this is the first frame, initialize prev_center with curr_center
+            if not hasattr(self, 'prev_center'):
+                self.prev_center = curr_center
+
+            # Smooth the changes in the center coordinates from the second frame onwards
+            if i > 0:
+                center = self.smooth_center(self.prev_center, curr_center, bbox_smooth_alpha)
+            else:
+                center = curr_center
+
+            # Update prev_center for the next frame
+            self.prev_center = center
+
+            # Create bounding box using max_bbox_width and max_bbox_height
+            half_box_width = round(self.max_bbox_width / 2)
+            half_box_height = round(self.max_bbox_height / 2)
+            min_x = max(0, center[0] - half_box_width)
+            max_x = min(img.shape[1], center[0] + half_box_width)
+            min_y = max(0, center[1] - half_box_height)
+            max_y = min(img.shape[0], center[1] + half_box_height)
+
+            # Append bounding box coordinates
+            bounding_boxes.append((min_x, min_y, max_x - min_x, max_y - min_y))
+
+            # Crop the image from the bounding box
+            cropped_img = img[min_y:max_y, min_x:max_x, :]
+            
+            # Calculate the new dimensions while maintaining the aspect ratio
+            new_height = min(cropped_img.shape[0], self.max_bbox_height)
+            new_width = round(new_height * bbox_aspect_ratio)
+
+            # Resize the image
+            resize_transform = Resize((new_height, new_width))
+            resized_img = resize_transform(cropped_img.permute(2, 0, 1))
+
+            # Perform the center crop to the desired size
+            crop_transform = CenterCrop((self.max_bbox_height, self.max_bbox_width)) # swap the order here if necessary
+            cropped_resized_img = crop_transform(resized_img)
+
+            cropped_images.append(cropped_resized_img.permute(1, 2, 0))
+
+        cropped_out = torch.stack(cropped_images, dim=0)
+        
+        return (original_images, cropped_out, bounding_boxes, self.max_bbox_width, self.max_bbox_height, )
+
+class BatchUncrop:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "original_images": ("IMAGE",),
+                "cropped_images": ("IMAGE",),
+                "bboxes": ("BBOX",),
+                "border_blending": ("FLOAT", {"default": 0.25, "min": 0.0, "max": 1.0, "step": 0.01}, ),
+                "crop_rescale": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "border_top": ("BOOLEAN", {"default": True}),
+                "border_bottom": ("BOOLEAN", {"default": True}),
+                "border_left": ("BOOLEAN", {"default": True}),
+                "border_right": ("BOOLEAN", {"default": True}),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "uncrop"
+
+    CATEGORY = "KJNodes/masking"
+
+    def uncrop(self, original_images, cropped_images, bboxes, border_blending, crop_rescale, border_top, border_bottom, border_left, border_right):
+        def inset_border(image, border_width, border_color, border_top, border_bottom, border_left, border_right):
+            draw = ImageDraw.Draw(image)
+            width, height = image.size
+            if border_top:
+                draw.rectangle((0, 0, width, border_width), fill=border_color)
+            if border_bottom:
+                draw.rectangle((0, height - border_width, width, height), fill=border_color)
+            if border_left:
+                draw.rectangle((0, 0, border_width, height), fill=border_color)
+            if border_right:
+                draw.rectangle((width - border_width, 0, width, height), fill=border_color)
+            return image
+
+        if len(original_images) != len(cropped_images):
+            raise ValueError(f"The number of original_images ({len(original_images)}) and cropped_images ({len(cropped_images)}) should be the same")
+
+        # Ensure there are enough bboxes, but drop the excess if there are more bboxes than images
+        if len(bboxes) > len(original_images):
+            print(f"Warning: Dropping excess bounding boxes. Expected {len(original_images)}, but got {len(bboxes)}")
+            bboxes = bboxes[:len(original_images)]
+        elif len(bboxes) < len(original_images):
+            raise ValueError("There should be at least as many bboxes as there are original and cropped images")
+
+        input_images = tensor2pil(original_images)
+        crop_imgs = tensor2pil(cropped_images)
+        
+        out_images = []
+        for i in range(len(input_images)):
+            img = input_images[i]
+            crop = crop_imgs[i]
+            bbox = bboxes[i]
+            
+            # uncrop the image based on the bounding box
+            bb_x, bb_y, bb_width, bb_height = bbox
+
+            paste_region = bbox_to_region((bb_x, bb_y, bb_width, bb_height), img.size)
+            
+            # scale factors
+            scale_x = crop_rescale
+            scale_y = crop_rescale
+
+            # scaled paste_region
+            paste_region = (round(paste_region[0]*scale_x), round(paste_region[1]*scale_y), round(paste_region[2]*scale_x), round(paste_region[3]*scale_y))
+
+            # rescale the crop image to fit the paste_region
+            crop = crop.resize((round(paste_region[2]-paste_region[0]), round(paste_region[3]-paste_region[1])))
+            crop_img = crop.convert("RGB")
+   
+            if border_blending > 1.0:
+                border_blending = 1.0
+            elif border_blending < 0.0:
+                border_blending = 0.0
+
+            blend_ratio = (max(crop_img.size) / 2) * float(border_blending)
+
+            blend = img.convert("RGBA")
+            mask = Image.new("L", img.size, 0)
+
+            mask_block = Image.new("L", (paste_region[2]-paste_region[0], paste_region[3]-paste_region[1]), 255)
+            mask_block = inset_border(mask_block, round(blend_ratio / 2), (0), border_top, border_bottom, border_left, border_right)
+                      
+            mask.paste(mask_block, paste_region)
+            blend.paste(crop_img, paste_region)
+
+            mask = mask.filter(ImageFilter.BoxBlur(radius=blend_ratio / 4))
+            mask = mask.filter(ImageFilter.GaussianBlur(radius=blend_ratio / 4))
+
+            blend.putalpha(mask)
+            img = Image.alpha_composite(img.convert("RGBA"), blend)
+            out_images.append(img.convert("RGB"))
+
+        return (pil2tensor(out_images),)
+
+class BatchCropFromMaskAdvanced:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "original_images": ("IMAGE",),
+                "masks": ("MASK",),
+                "crop_size_mult": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "bbox_smooth_alpha": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
+            },
+        }
+
+    RETURN_TYPES = (
+        "IMAGE",
+        "IMAGE",
+        "MASK",
+        "IMAGE",
+        "MASK",
+        "BBOX",
+        "BBOX",
+        "INT",
+        "INT",
+    )
+    RETURN_NAMES = (
+        "original_images",
+        "cropped_images",
+        "cropped_masks",
+        "combined_crop_image",
+        "combined_crop_masks",
+        "bboxes",
+        "combined_bounding_box",
+        "bbox_width",
+        "bbox_height",
+    )
+    FUNCTION = "crop"
+    CATEGORY = "KJNodes/masking"
+
+    def smooth_bbox_size(self, prev_bbox_size, curr_bbox_size, alpha):
+          return round(alpha * curr_bbox_size + (1 - alpha) * prev_bbox_size)
+
+    def smooth_center(self, prev_center, curr_center, alpha=0.5):
+        return (round(alpha * curr_center[0] + (1 - alpha) * prev_center[0]),
+                round(alpha * curr_center[1] + (1 - alpha) * prev_center[1]))
+
+    def crop(self, masks, original_images, crop_size_mult, bbox_smooth_alpha):
+        bounding_boxes = []
+        combined_bounding_box = []
+        cropped_images = []
+        cropped_masks = []
+        cropped_masks_out = []
+        combined_crop_out = []
+        combined_cropped_images = []
+        combined_cropped_masks = []
+        
+        def calculate_bbox(mask):
+            non_zero_indices = np.nonzero(np.array(mask))
+
+            # handle empty masks
+            min_x, max_x, min_y, max_y = 0, 0, 0, 0
+            if len(non_zero_indices[1]) > 0 and len(non_zero_indices[0]) > 0:
+                min_x, max_x = np.min(non_zero_indices[1]), np.max(non_zero_indices[1])
+                min_y, max_y = np.min(non_zero_indices[0]), np.max(non_zero_indices[0])
+
+            width = max_x - min_x
+            height = max_y - min_y
+            bbox_size = max(width, height)
+            return min_x, max_x, min_y, max_y, bbox_size
+
+        combined_mask = torch.max(masks, dim=0)[0]
+        _mask = tensor2pil(combined_mask)[0]
+        new_min_x, new_max_x, new_min_y, new_max_y, combined_bbox_size = calculate_bbox(_mask)
+        center_x = (new_min_x + new_max_x) / 2
+        center_y = (new_min_y + new_max_y) / 2
+        half_box_size = round(combined_bbox_size // 2)
+        new_min_x = max(0, round(center_x - half_box_size))
+        new_max_x = min(original_images[0].shape[1], round(center_x + half_box_size))
+        new_min_y = max(0, round(center_y - half_box_size))
+        new_max_y = min(original_images[0].shape[0], round(center_y + half_box_size))
+        
+        combined_bounding_box.append((new_min_x, new_min_y, new_max_x - new_min_x, new_max_y - new_min_y))   
+        
+        self.max_bbox_size = 0
+        
+        # First, calculate the maximum bounding box size across all masks
+        curr_max_bbox_size = max(calculate_bbox(tensor2pil(mask)[0])[-1] for mask in masks)
+        # Smooth the changes in the bounding box size
+        self.max_bbox_size = self.smooth_bbox_size(self.max_bbox_size, curr_max_bbox_size, bbox_smooth_alpha)
+        # Apply the crop size multiplier
+        self.max_bbox_size = round(self.max_bbox_size * crop_size_mult)
+        # Make sure max_bbox_size is divisible by 16, if not, round it upwards so it is
+        self.max_bbox_size = math.ceil(self.max_bbox_size / 16) * 16
+
+        if self.max_bbox_size > original_images[0].shape[0] or self.max_bbox_size > original_images[0].shape[1]:
+            # max_bbox_size can only be as big as our input's width or height, and it has to be even
+            self.max_bbox_size = math.floor(min(original_images[0].shape[0], original_images[0].shape[1]) / 2) * 2
+
+        # Then, for each mask and corresponding image...
+        for i, (mask, img) in enumerate(zip(masks, original_images)):
+            _mask = tensor2pil(mask)[0]
+            non_zero_indices = np.nonzero(np.array(_mask))
+
+            # check for empty masks
+            if len(non_zero_indices[0]) > 0 and len(non_zero_indices[1]) > 0:
+                min_x, max_x = np.min(non_zero_indices[1]), np.max(non_zero_indices[1])
+                min_y, max_y = np.min(non_zero_indices[0]), np.max(non_zero_indices[0])
+
+                # Calculate center of bounding box
+                center_x = np.mean(non_zero_indices[1])
+                center_y = np.mean(non_zero_indices[0])
+                curr_center = (round(center_x), round(center_y))
+
+                # If this is the first frame, initialize prev_center with curr_center
+                if not hasattr(self, 'prev_center'):
+                    self.prev_center = curr_center
+
+                # Smooth the changes in the center coordinates from the second frame onwards
+                if i > 0:
+                    center = self.smooth_center(self.prev_center, curr_center, bbox_smooth_alpha)
+                else:
+                    center = curr_center
+
+                # Update prev_center for the next frame
+                self.prev_center = center
+
+                # Create bounding box using max_bbox_size
+                half_box_size = self.max_bbox_size // 2
+                min_x = max(0, center[0] - half_box_size)
+                max_x = min(img.shape[1], center[0] + half_box_size)
+                min_y = max(0, center[1] - half_box_size)
+                max_y = min(img.shape[0], center[1] + half_box_size)
+
+                # Append bounding box coordinates
+                bounding_boxes.append((min_x, min_y, max_x - min_x, max_y - min_y))
+
+                # Crop the image from the bounding box
+                cropped_img = img[min_y:max_y, min_x:max_x, :]
+                cropped_mask = mask[min_y:max_y, min_x:max_x]
+
+                # Resize the cropped image to a fixed size
+                new_size = max(cropped_img.shape[0], cropped_img.shape[1])
+                resize_transform = Resize(new_size, interpolation=InterpolationMode.NEAREST, max_size=max(img.shape[0], img.shape[1]))
+                resized_mask = resize_transform(cropped_mask.unsqueeze(0).unsqueeze(0)).squeeze(0).squeeze(0)
+                resized_img = resize_transform(cropped_img.permute(2, 0, 1))
+                # Perform the center crop to the desired size
+                # Constrain the crop to the smaller of our bbox or our image so we don't expand past the image dimensions.
+                crop_transform = CenterCrop((min(self.max_bbox_size, resized_img.shape[1]), min(self.max_bbox_size, resized_img.shape[2])))
+
+                cropped_resized_img = crop_transform(resized_img)
+                cropped_images.append(cropped_resized_img.permute(1, 2, 0))
+
+                cropped_resized_mask = crop_transform(resized_mask)
+                cropped_masks.append(cropped_resized_mask)
+
+                combined_cropped_img = original_images[i][new_min_y:new_max_y, new_min_x:new_max_x, :]
+                combined_cropped_images.append(combined_cropped_img)
+
+                combined_cropped_mask = masks[i][new_min_y:new_max_y, new_min_x:new_max_x]
+                combined_cropped_masks.append(combined_cropped_mask)
+            else:
+                bounding_boxes.append((0, 0, img.shape[1], img.shape[0]))
+                cropped_images.append(img)
+                cropped_masks.append(mask)
+                combined_cropped_images.append(img)
+                combined_cropped_masks.append(mask)
+
+        cropped_out = torch.stack(cropped_images, dim=0)
+        combined_crop_out = torch.stack(combined_cropped_images, dim=0)
+        cropped_masks_out = torch.stack(cropped_masks, dim=0)
+        combined_crop_mask_out = torch.stack(combined_cropped_masks, dim=0)
+
+        return (original_images, cropped_out, cropped_masks_out, combined_crop_out, combined_crop_mask_out, bounding_boxes, combined_bounding_box, self.max_bbox_size, self.max_bbox_size)
+
+class FilterZeroMasksAndCorrespondingImages:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "masks": ("MASK",),
+            },
+            "optional": {
+                "original_images": ("IMAGE",), 
+            },
+        }
+
+    RETURN_TYPES = ("MASK", "IMAGE", "IMAGE", "INDEXES",)
+    RETURN_NAMES = ("non_zero_masks_out", "non_zero_mask_images_out", "zero_mask_images_out", "zero_mask_images_out_indexes",)
+    FUNCTION = "filter"
+    CATEGORY = "KJNodes/masking"
+    DESCRIPTION = """
+Filter out all the empty (i.e. all zero) mask in masks  
+Also filter out all the corresponding images in original_images by indexes if provide  
+  
+original_images (optional): If provided, need have same length as masks.
+"""
+    
+    def filter(self, masks, original_images=None):
+        non_zero_masks = []
+        non_zero_mask_images = []
+        zero_mask_images = []
+        zero_mask_images_indexes = []
+        
+        masks_num = len(masks)
+        also_process_images = False
+        if original_images is not None:
+            imgs_num = len(original_images)
+            if len(original_images) == masks_num:
+                also_process_images = True
+            else:
+                print(f"[WARNING] ignore input: original_images, due to number of original_images ({imgs_num}) is not equal to number of masks ({masks_num})")
+        
+        for i in range(masks_num):
+            non_zero_num = np.count_nonzero(np.array(masks[i]))
+            if non_zero_num > 0:
+                non_zero_masks.append(masks[i])
+                if also_process_images:
+                    non_zero_mask_images.append(original_images[i])
+            else:
+                zero_mask_images.append(original_images[i])
+                zero_mask_images_indexes.append(i)
+
+        non_zero_masks_out = torch.stack(non_zero_masks, dim=0)
+        non_zero_mask_images_out = zero_mask_images_out = zero_mask_images_out_indexes = None
+        
+        if also_process_images:
+            non_zero_mask_images_out = torch.stack(non_zero_mask_images, dim=0)
+            if len(zero_mask_images) > 0:
+                zero_mask_images_out = torch.stack(zero_mask_images, dim=0)
+                zero_mask_images_out_indexes = zero_mask_images_indexes
+
+        return (non_zero_masks_out, non_zero_mask_images_out, zero_mask_images_out, zero_mask_images_out_indexes)
+
+class InsertImageBatchByIndexes:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "images": ("IMAGE",), 
+                "images_to_insert": ("IMAGE",), 
+                "insert_indexes": ("INDEXES",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE", )
+    RETURN_NAMES = ("images_after_insert", )
+    FUNCTION = "insert"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+This node is designed to be use with node FilterZeroMasksAndCorrespondingImages
+It inserts the images_to_insert into images according to insert_indexes
+
+Returns:
+    images_after_insert: updated original images with origonal sequence order
+"""
+    
+    def insert(self, images, images_to_insert, insert_indexes):        
+        images_after_insert = images
+        
+        if images_to_insert is not None and insert_indexes is not None:
+            images_to_insert_num = len(images_to_insert)
+            insert_indexes_num = len(insert_indexes)
+            if images_to_insert_num == insert_indexes_num:
+                images_after_insert = []
+
+                i_images = 0
+                for i in range(len(images) + images_to_insert_num):
+                    if i in insert_indexes:
+                        images_after_insert.append(images_to_insert[insert_indexes.index(i)])
+                    else:
+                        images_after_insert.append(images[i_images])
+                        i_images += 1
+                        
+                images_after_insert = torch.stack(images_after_insert, dim=0)
+                
+            else:
+                print(f"[WARNING] skip this node, due to number of images_to_insert ({images_to_insert_num}) is not equal to number of insert_indexes ({insert_indexes_num})")
+
+
+        return (images_after_insert, )
+
+class BatchUncropAdvanced:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "original_images": ("IMAGE",),
+                "cropped_images": ("IMAGE",), 
+                "cropped_masks": ("MASK",),
+                "combined_crop_mask": ("MASK",),
+                "bboxes": ("BBOX",),
+                "border_blending": ("FLOAT", {"default": 0.25, "min": 0.0, "max": 1.0, "step": 0.01}, ),
+                "crop_rescale": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "use_combined_mask": ("BOOLEAN", {"default": False}),
+                "use_square_mask": ("BOOLEAN", {"default": True}),
+            },
+            "optional": {
+                "combined_bounding_box": ("BBOX", {"default": None}),  
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "uncrop"
+    CATEGORY = "KJNodes/masking"
+
+
+    def uncrop(self, original_images, cropped_images, cropped_masks, combined_crop_mask, bboxes, border_blending, crop_rescale, use_combined_mask, use_square_mask, combined_bounding_box = None):
+        
+        def inset_border(image, border_width=20, border_color=(0)):
+            width, height = image.size
+            bordered_image = Image.new(image.mode, (width, height), border_color)
+            bordered_image.paste(image, (0, 0))
+            draw = ImageDraw.Draw(bordered_image)
+            draw.rectangle((0, 0, width - 1, height - 1), outline=border_color, width=border_width)
+            return bordered_image
+
+        if len(original_images) != len(cropped_images):
+            raise ValueError(f"The number of original_images ({len(original_images)}) and cropped_images ({len(cropped_images)}) should be the same")
+
+        # Ensure there are enough bboxes, but drop the excess if there are more bboxes than images
+        if len(bboxes) > len(original_images):
+            print(f"Warning: Dropping excess bounding boxes. Expected {len(original_images)}, but got {len(bboxes)}")
+            bboxes = bboxes[:len(original_images)]
+        elif len(bboxes) < len(original_images):
+            raise ValueError("There should be at least as many bboxes as there are original and cropped images")
+
+        crop_imgs = tensor2pil(cropped_images)
+        input_images = tensor2pil(original_images)
+        out_images = []
+
+        for i in range(len(input_images)):
+            img = input_images[i]
+            crop = crop_imgs[i]
+            bbox = bboxes[i]
+            
+            if use_combined_mask:
+                bb_x, bb_y, bb_width, bb_height = combined_bounding_box[0]
+                paste_region = bbox_to_region((bb_x, bb_y, bb_width, bb_height), img.size)
+                mask = combined_crop_mask[i]
+            else:
+                bb_x, bb_y, bb_width, bb_height = bbox
+                paste_region = bbox_to_region((bb_x, bb_y, bb_width, bb_height), img.size)
+                mask = cropped_masks[i]
+            
+            # scale paste_region
+            scale_x = scale_y = crop_rescale
+            paste_region = (round(paste_region[0]*scale_x), round(paste_region[1]*scale_y), round(paste_region[2]*scale_x), round(paste_region[3]*scale_y))
+
+            # rescale the crop image to fit the paste_region
+            crop = crop.resize((round(paste_region[2]-paste_region[0]), round(paste_region[3]-paste_region[1])))
+            crop_img = crop.convert("RGB")
+
+            #border blending
+            if border_blending > 1.0:
+                border_blending = 1.0
+            elif border_blending < 0.0:
+                border_blending = 0.0
+
+            blend_ratio = (max(crop_img.size) / 2) * float(border_blending)
+            blend = img.convert("RGBA")
+
+            if use_square_mask:
+                mask = Image.new("L", img.size, 0)
+                mask_block = Image.new("L", (paste_region[2]-paste_region[0], paste_region[3]-paste_region[1]), 255)
+                mask_block = inset_border(mask_block, round(blend_ratio / 2), (0))
+                mask.paste(mask_block, paste_region)
+            else:
+                original_mask = tensor2pil(mask)[0]
+                original_mask = original_mask.resize((paste_region[2]-paste_region[0], paste_region[3]-paste_region[1]))
+                mask = Image.new("L", img.size, 0)
+                mask.paste(original_mask, paste_region)
+
+            mask = mask.filter(ImageFilter.BoxBlur(radius=blend_ratio / 4))
+            mask = mask.filter(ImageFilter.GaussianBlur(radius=blend_ratio / 4))
+
+            blend.paste(crop_img, paste_region) 
+            blend.putalpha(mask)
+            
+            img = Image.alpha_composite(img.convert("RGBA"), blend)
+            out_images.append(img.convert("RGB"))
+
+        return (pil2tensor(out_images),)
+
+class SplitBboxes:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "bboxes": ("BBOX",),
+                "index": ("INT", {"default": 0,"min": 0, "max": 99999999, "step": 1}),
+            },
+        }
+
+    RETURN_TYPES = ("BBOX","BBOX",)
+    RETURN_NAMES = ("bboxes_a","bboxes_b",)
+    FUNCTION = "splitbbox"
+    CATEGORY = "KJNodes/masking"
+    DESCRIPTION = """
+Splits the specified bbox list at the given index into two lists.
+"""
+
+    def splitbbox(self, bboxes, index):
+        bboxes_a = bboxes[:index]  # Sub-list from the start of bboxes up to (but not including) the index
+        bboxes_b = bboxes[index:]  # Sub-list from the index to the end of bboxes
+
+        return (bboxes_a, bboxes_b,)
+    
+class BboxToInt:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "bboxes": ("BBOX",),
+                "index": ("INT", {"default": 0,"min": 0, "max": 99999999, "step": 1}),
+            },
+        }
+
+    RETURN_TYPES = ("INT","INT","INT","INT","INT","INT",)
+    RETURN_NAMES = ("x_min","y_min","width","height", "center_x","center_y",)
+    FUNCTION = "bboxtoint"
+    CATEGORY = "KJNodes/masking"
+    DESCRIPTION = """
+Returns selected index from bounding box list as integers.
+"""
+    def bboxtoint(self, bboxes, index):
+        x_min, y_min, width, height = bboxes[index]
+        center_x = int(x_min + width / 2)
+        center_y = int(y_min + height / 2)
+        
+        return (x_min, y_min, width, height, center_x, center_y,)
+
+class BboxVisualize:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "images": ("IMAGE",),
+                "bboxes": ("BBOX",),
+                "line_width": ("INT", {"default": 1,"min": 1, "max": 10, "step": 1}),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("images",)
+    FUNCTION = "visualizebbox"
+    DESCRIPTION = """
+Visualizes the specified bbox on the image.
+"""
+
+    CATEGORY = "KJNodes/masking"
+
+    def visualizebbox(self, bboxes, images, line_width):
+        image_list = []
+        for image, bbox in zip(images, bboxes):
+            x_min, y_min, width, height = bbox
+            
+            # Ensure bbox coordinates are integers
+            x_min = int(x_min)
+            y_min = int(y_min)
+            width = int(width)
+            height = int(height)
+            
+            # Permute the image dimensions
+            image = image.permute(2, 0, 1)
+
+            # Clone the image to draw bounding boxes
+            img_with_bbox = image.clone()
+            
+            # Define the color for the bbox, e.g., red
+            color = torch.tensor([1, 0, 0], dtype=torch.float32)
+            
+            # Ensure color tensor matches the image channels
+            if color.shape[0] != img_with_bbox.shape[0]:
+                color = color.unsqueeze(1).expand(-1, line_width)
+
+            # Draw lines for each side of the bbox with the specified line width
+            for lw in range(line_width):
+                # Top horizontal line
+                if y_min + lw < img_with_bbox.shape[1]:
+                    img_with_bbox[:, y_min + lw, x_min:x_min + width] = color[:, None]
+                
+                # Bottom horizontal line
+                if y_min + height - lw < img_with_bbox.shape[1]:
+                    img_with_bbox[:, y_min + height - lw, x_min:x_min + width] = color[:, None]
+                
+                # Left vertical line
+                if x_min + lw < img_with_bbox.shape[2]:
+                    img_with_bbox[:, y_min:y_min + height, x_min + lw] = color[:, None]
+                
+                # Right vertical line
+                if x_min + width - lw < img_with_bbox.shape[2]:
+                    img_with_bbox[:, y_min:y_min + height, x_min + width - lw] = color[:, None]
+        
+            # Permute the image dimensions back
+            img_with_bbox = img_with_bbox.permute(1, 2, 0).unsqueeze(0)
+            image_list.append(img_with_bbox)
+
+        return (torch.cat(image_list, dim=0),)
+
+        return (torch.cat(image_list, dim=0),)
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/curve_nodes.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/curve_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..f1bb1f05cb7fef0543db6d3da30a0b4a830e3733
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/curve_nodes.py
@@ -0,0 +1,1393 @@
+import torch
+from torchvision import transforms
+import json
+from PIL import Image, ImageDraw, ImageFont, ImageColor, ImageFilter
+import numpy as np
+from ..utility.utility import pil2tensor
+import folder_paths
+from comfy.utils import common_upscale
+
+def plot_coordinates_to_tensor(coordinates, height, width, bbox_height, bbox_width, size_multiplier, prompt):
+        import matplotlib
+        matplotlib.use('Agg')
+        from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
+        text_color = '#999999'
+        bg_color = '#353535'
+        matplotlib.pyplot.rcParams['text.color'] = text_color
+        fig, ax = matplotlib.pyplot.subplots(figsize=(width/100, height/100), dpi=100)
+        fig.patch.set_facecolor(bg_color)
+        ax.set_facecolor(bg_color)
+        ax.grid(color=text_color, linestyle='-', linewidth=0.5)
+        ax.set_xlabel('x', color=text_color)
+        ax.set_ylabel('y', color=text_color)
+        for text in ax.get_xticklabels() + ax.get_yticklabels():
+            text.set_color(text_color)
+        ax.set_title('position for: ' + prompt)
+        ax.set_xlabel('X Coordinate')
+        ax.set_ylabel('Y Coordinate')
+        #ax.legend().remove()
+        ax.set_xlim(0, width) # Set the x-axis to match the input latent width
+        ax.set_ylim(height, 0) # Set the y-axis to match the input latent height, with (0,0) at top-left
+        # Adjust the margins of the subplot
+        matplotlib.pyplot.subplots_adjust(left=0.08, right=0.95, bottom=0.05, top=0.95, wspace=0.2, hspace=0.2)
+
+        cmap = matplotlib.pyplot.get_cmap('rainbow')
+        image_batch = []
+        canvas = FigureCanvas(fig)
+        width, height = fig.get_size_inches() * fig.get_dpi()
+        # Draw a box at each coordinate
+        for i, ((x, y), size) in enumerate(zip(coordinates, size_multiplier)):
+            color_index = i / (len(coordinates) - 1)
+            color = cmap(color_index)
+            draw_height = bbox_height * size
+            draw_width = bbox_width * size
+            rect = matplotlib.patches.Rectangle((x - draw_width/2, y - draw_height/2), draw_width, draw_height,
+                                            linewidth=1, edgecolor=color, facecolor='none', alpha=0.5)
+            ax.add_patch(rect)
+
+            # Check if there is a next coordinate to draw an arrow to
+            if i < len(coordinates) - 1:
+                x1, y1 = coordinates[i]
+                x2, y2 = coordinates[i + 1]
+                ax.annotate("", xy=(x2, y2), xytext=(x1, y1),
+                            arrowprops=dict(arrowstyle="->",
+                                            linestyle="-",
+                                            lw=1,
+                                            color=color,
+                                            mutation_scale=20))
+            canvas.draw()
+            image_np = np.frombuffer(canvas.tostring_rgb(), dtype='uint8').reshape(int(height), int(width), 3).copy()
+            image_tensor = torch.from_numpy(image_np).float() / 255.0
+            image_tensor = image_tensor.unsqueeze(0)
+            image_batch.append(image_tensor)
+            
+        matplotlib.pyplot.close(fig)
+        image_batch_tensor = torch.cat(image_batch, dim=0)
+
+        return image_batch_tensor
+
+class PlotCoordinates:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                              "coordinates": ("STRING", {"forceInput": True}),
+                              "text": ("STRING", {"default": 'title', "multiline": False}),
+                              "width": ("INT", {"default": 512, "min": 8, "max": 4096, "step": 8}),
+                              "height": ("INT", {"default": 512, "min": 8, "max": 4096, "step": 8}),
+                              "bbox_width": ("INT", {"default": 128, "min": 8, "max": 4096, "step": 8}),
+                              "bbox_height": ("INT", {"default": 128, "min": 8, "max": 4096, "step": 8}),
+                            },
+                "optional": {"size_multiplier": ("FLOAT", {"default": [1.0], "forceInput": True})},
+                }
+    RETURN_TYPES = ("IMAGE", "INT", "INT", "INT", "INT",)
+    RETURN_NAMES = ("images", "width", "height", "bbox_width", "bbox_height",)
+    FUNCTION = "append"
+    CATEGORY = "KJNodes/experimental"
+    DESCRIPTION = """
+Plots coordinates to sequence of images using Matplotlib.  
+
+"""
+
+    def append(self, coordinates, text, width, height, bbox_width, bbox_height, size_multiplier=[1.0]):
+        coordinates = json.loads(coordinates.replace("'", '"'))
+        coordinates = [(coord['x'], coord['y']) for coord in coordinates]
+        batch_size = len(coordinates)    
+        if len(size_multiplier) != batch_size:
+            size_multiplier = size_multiplier * (batch_size // len(size_multiplier)) + size_multiplier[:batch_size % len(size_multiplier)]
+
+        plot_image_tensor = plot_coordinates_to_tensor(coordinates, height, width, bbox_height, bbox_width, size_multiplier, text)
+        
+        return (plot_image_tensor, width, height, bbox_width, bbox_height)
+    
+class SplineEditor:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "points_store": ("STRING", {"multiline": False}),
+                "coordinates": ("STRING", {"multiline": False}),
+                "mask_width": ("INT", {"default": 512, "min": 8, "max": 4096, "step": 8}),
+                "mask_height": ("INT", {"default": 512, "min": 8, "max": 4096, "step": 8}),
+                "points_to_sample": ("INT", {"default": 16, "min": 2, "max": 1000, "step": 1}),
+                "sampling_method": (
+                [   
+                    'path',
+                    'time',
+                    'controlpoints'
+                ],
+                {
+                    "default": 'time'
+                }),
+                "interpolation": (
+                [   
+                    'cardinal',
+                    'monotone',
+                    'basis',
+                    'linear',
+                    'step-before',
+                    'step-after',
+                    'polar',
+                    'polar-reverse',
+                ],
+                {
+                "default": 'cardinal'
+                    }),
+                "tension": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
+                "repeat_output": ("INT", {"default": 1, "min": 1, "max": 4096, "step": 1}),
+                "float_output_type": (
+                [   
+                    'list',
+                    'pandas series',
+                    'tensor',
+                ],
+                {
+                    "default": 'list'
+                }),
+            },
+            "optional": {
+                "min_value": ("FLOAT", {"default": 0.0, "min": -10000.0, "max": 10000.0, "step": 0.01}),
+                "max_value": ("FLOAT", {"default": 1.0, "min": -10000.0, "max": 10000.0, "step": 0.01}),
+            }
+        }
+
+    RETURN_TYPES = ("MASK", "STRING", "FLOAT", "INT", "STRING",)
+    RETURN_NAMES = ("mask", "coord_str", "float", "count", "normalized_str",)
+    FUNCTION = "splinedata"
+    CATEGORY = "KJNodes/weights"
+    DESCRIPTION = """
+# WORK IN PROGRESS  
+Do not count on this as part of your workflow yet,  
+probably contains lots of bugs and stability is not  
+guaranteed!!  
+  
+## Graphical editor to create values for various   
+## schedules and/or mask batches.  
+
+**Shift + click** to add control point at end.
+**Ctrl + click** to add control point (subdivide) between two points.  
+**Right click on a point** to delete it.    
+Note that you can't delete from start/end.  
+  
+Right click on canvas for context menu:  
+These are purely visual options, doesn't affect the output:  
+ - Toggle handles visibility
+ - Display sample points: display the points to be returned.  
+
+**points_to_sample** value sets the number of samples  
+returned from the **drawn spline itself**, this is independent from the  
+actual control points, so the interpolation type matters.  
+sampling_method: 
+ - time: samples along the time axis, used for schedules  
+ - path: samples along the path itself, useful for coordinates  
+
+output types:
+ - mask batch  
+        example compatible nodes: anything that takes masks  
+ - list of floats
+        example compatible nodes: IPAdapter weights  
+ - pandas series
+        example compatible nodes: anything that takes Fizz'  
+        nodes Batch Value Schedule  
+ - torch tensor  
+        example compatible nodes: unknown
+"""
+
+    def splinedata(self, mask_width, mask_height, coordinates, float_output_type, interpolation, 
+                   points_to_sample, sampling_method, points_store, tension, repeat_output, min_value=0.0, max_value=1.0):
+        
+        coordinates = json.loads(coordinates)
+        normalized = []
+        normalized_y_values = []
+        for coord in coordinates:
+            coord['x'] = int(round(coord['x']))
+            coord['y'] = int(round(coord['y']))
+            norm_x = (1.0 - (coord['x'] / mask_height) - 0.0) * (max_value - min_value) + min_value
+            norm_y = (1.0 - (coord['y'] / mask_height) - 0.0) * (max_value - min_value) + min_value
+            normalized_y_values.append(norm_y)
+            normalized.append({'x':norm_x, 'y':norm_y})
+        if float_output_type == 'list':
+            out_floats = normalized_y_values * repeat_output
+        elif float_output_type == 'pandas series':
+            try:
+                import pandas as pd
+            except:
+                raise Exception("MaskOrImageToWeight: pandas is not installed. Please install pandas to use this output_type")
+            out_floats = pd.Series(normalized_y_values * repeat_output),
+        elif float_output_type == 'tensor':
+            out_floats = torch.tensor(normalized_y_values * repeat_output, dtype=torch.float32)
+        # Create a color map for grayscale intensities
+        color_map = lambda y: torch.full((mask_height, mask_width, 3), y, dtype=torch.float32)
+
+        # Create image tensors for each normalized y value
+        mask_tensors = [color_map(y) for y in normalized_y_values]
+        masks_out = torch.stack(mask_tensors)
+        masks_out = masks_out.repeat(repeat_output, 1, 1, 1)
+        masks_out = masks_out.mean(dim=-1)
+        return (masks_out, json.dumps(coordinates), out_floats, len(out_floats) , json.dumps(normalized))
+
+class CreateShapeMaskOnPath:
+    
+    RETURN_TYPES = ("MASK", "MASK",)
+    RETURN_NAMES = ("mask", "mask_inverted",)
+    FUNCTION = "createshapemask"
+    CATEGORY = "KJNodes/masking/generate"
+    DESCRIPTION = """
+Creates a mask or batch of masks with the specified shape.  
+Locations are center locations.  
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "shape": (
+            [   'circle',
+                'square',
+                'triangle',
+            ],
+            {
+            "default": 'circle'
+             }),
+                "coordinates": ("STRING", {"forceInput": True}),
+                "frame_width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "frame_height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "shape_width": ("INT", {"default": 128,"min": 8, "max": 4096, "step": 1}),
+                "shape_height": ("INT", {"default": 128,"min": 8, "max": 4096, "step": 1}),
+        },
+        "optional": {
+            "size_multiplier": ("FLOAT", {"default": [1.0], "forceInput": True}),
+        }
+    } 
+
+    def createshapemask(self, coordinates, frame_width, frame_height, shape_width, shape_height, shape, size_multiplier=[1.0]):
+        # Define the number of images in the batch
+        coordinates = coordinates.replace("'", '"')
+        coordinates = json.loads(coordinates)
+
+        batch_size = len(coordinates)
+        out = []
+        color = "white"
+        if len(size_multiplier) != batch_size:
+            size_multiplier = size_multiplier * (batch_size // len(size_multiplier)) + size_multiplier[:batch_size % len(size_multiplier)]
+        for i, coord in enumerate(coordinates):
+            image = Image.new("RGB", (frame_width, frame_height), "black")
+            draw = ImageDraw.Draw(image)
+
+            # Calculate the size for this frame and ensure it's not less than 0
+            current_width = max(0, shape_width + i * size_multiplier[i])
+            current_height = max(0, shape_height + i * size_multiplier[i])
+
+            location_x = coord['x']
+            location_y = coord['y']
+
+            if shape == 'circle' or shape == 'square':
+                # Define the bounding box for the shape
+                left_up_point = (location_x - current_width // 2, location_y - current_height // 2)
+                right_down_point = (location_x + current_width // 2, location_y + current_height // 2)
+                two_points = [left_up_point, right_down_point]
+
+                if shape == 'circle':
+                    draw.ellipse(two_points, fill=color)
+                elif shape == 'square':
+                    draw.rectangle(two_points, fill=color)
+                    
+            elif shape == 'triangle':
+                # Define the points for the triangle
+                left_up_point = (location_x - current_width // 2, location_y + current_height // 2) # bottom left
+                right_down_point = (location_x + current_width // 2, location_y + current_height // 2) # bottom right
+                top_point = (location_x, location_y - current_height // 2) # top point
+                draw.polygon([top_point, left_up_point, right_down_point], fill=color)
+
+            image = pil2tensor(image)
+            mask = image[:, :, :, 0]
+            out.append(mask)
+        outstack = torch.cat(out, dim=0)
+        return (outstack, 1.0 - outstack,)
+
+class CreateShapeImageOnPath:
+    
+    RETURN_TYPES = ("IMAGE", "MASK",)
+    RETURN_NAMES = ("image","mask", )
+    FUNCTION = "createshapemask"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Creates an image or batch of images with the specified shape.  
+Locations are center locations.  
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "shape": (
+            [   'circle',
+                'square',
+                'triangle',
+            ],
+            {
+            "default": 'circle'
+             }),
+                "coordinates": ("STRING", {"forceInput": True}),
+                "frame_width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "frame_height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "shape_width": ("INT", {"default": 128,"min": 8, "max": 4096, "step": 1}),
+                "shape_height": ("INT", {"default": 128,"min": 8, "max": 4096, "step": 1}),
+                "shape_color": ("STRING", {"default": 'white'}),
+                "bg_color": ("STRING", {"default": 'black'}),
+                "blur_radius": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 100, "step": 0.1}),
+                "intensity": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 100.0, "step": 0.01}),
+        },
+        "optional": {
+            "size_multiplier": ("FLOAT", {"default": [1.0], "forceInput": True}),
+        }
+    } 
+
+    def createshapemask(self, coordinates, frame_width, frame_height, shape_width, shape_height, shape_color, 
+                        bg_color, blur_radius, shape, intensity, size_multiplier=[1.0]):
+        # Define the number of images in the batch
+        coordinates = coordinates.replace("'", '"')
+        coordinates = json.loads(coordinates)
+
+        batch_size = len(coordinates)
+        images_list = []
+        masks_list = []
+
+        if len(size_multiplier) != batch_size:
+            size_multiplier = size_multiplier * (batch_size // len(size_multiplier)) + size_multiplier[:batch_size % len(size_multiplier)]
+        for i, coord in enumerate(coordinates):
+            image = Image.new("RGB", (frame_width, frame_height), bg_color)
+            draw = ImageDraw.Draw(image)
+
+            # Calculate the size for this frame and ensure it's not less than 0
+            current_width = max(0, shape_width + i * size_multiplier[i])
+            current_height = max(0, shape_height + i * size_multiplier[i])
+
+            location_x = coord['x']
+            location_y = coord['y']
+
+            if shape == 'circle' or shape == 'square':
+                # Define the bounding box for the shape
+                left_up_point = (location_x - current_width // 2, location_y - current_height // 2)
+                right_down_point = (location_x + current_width // 2, location_y + current_height // 2)
+                two_points = [left_up_point, right_down_point]
+
+                if shape == 'circle':
+                    draw.ellipse(two_points, fill=shape_color)
+                elif shape == 'square':
+                    draw.rectangle(two_points, fill=shape_color)
+                    
+            elif shape == 'triangle':
+                # Define the points for the triangle
+                left_up_point = (location_x - current_width // 2, location_y + current_height // 2) # bottom left
+                right_down_point = (location_x + current_width // 2, location_y + current_height // 2) # bottom right
+                top_point = (location_x, location_y - current_height // 2) # top point
+                draw.polygon([top_point, left_up_point, right_down_point], fill=shape_color)
+
+            if blur_radius != 0:
+                    image = image.filter(ImageFilter.GaussianBlur(blur_radius))
+
+            image = pil2tensor(image)
+            image = image * intensity
+            mask = image[:, :, :, 0]
+            masks_list.append(mask)
+            images_list.append(image)
+        out_images = torch.cat(images_list, dim=0).cpu().float()
+        out_masks = torch.cat(masks_list, dim=0)
+        return (out_images, out_masks)
+    
+class CreateTextOnPath:
+    
+    RETURN_TYPES = ("IMAGE", "MASK", "MASK",)
+    RETURN_NAMES = ("image", "mask", "mask_inverted",)
+    FUNCTION = "createtextmask"
+    CATEGORY = "KJNodes/masking/generate"
+    DESCRIPTION = """
+Creates a mask or batch of masks with the specified text.  
+Locations are center locations.  
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "coordinates": ("STRING", {"forceInput": True}),
+                "text": ("STRING", {"default": 'text', "multiline": True}),
+                "frame_width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "frame_height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "font": (folder_paths.get_filename_list("kjnodes_fonts"), ),
+                "font_size": ("INT", {"default": 42}),
+                 "alignment": (
+                [   'left',
+                    'center',
+                    'right'
+                ],
+                {"default": 'center'}
+                ),
+                "text_color": ("STRING", {"default": 'white'}),
+        },
+        "optional": {
+            "size_multiplier": ("FLOAT", {"default": [1.0], "forceInput": True}),
+        }
+    } 
+
+    def createtextmask(self, coordinates, frame_width, frame_height, font, font_size, text, text_color, alignment, size_multiplier=[1.0]):
+        coordinates = coordinates.replace("'", '"')
+        coordinates = json.loads(coordinates)
+
+        batch_size = len(coordinates)
+        mask_list = []
+        image_list = []
+        color = text_color
+        font_path = folder_paths.get_full_path("kjnodes_fonts", font)
+
+        if len(size_multiplier) != batch_size:
+            size_multiplier = size_multiplier * (batch_size // len(size_multiplier)) + size_multiplier[:batch_size % len(size_multiplier)]
+        
+        for i, coord in enumerate(coordinates):
+            image = Image.new("RGB", (frame_width, frame_height), "black")
+            draw = ImageDraw.Draw(image)
+            lines = text.split('\n')  # Split the text into lines
+            # Apply the size multiplier to the font size for this iteration
+            current_font_size = int(font_size * size_multiplier[i])
+            current_font = ImageFont.truetype(font_path, current_font_size)
+            line_heights = [current_font.getbbox(line)[3] for line in lines]  # List of line heights
+            total_text_height = sum(line_heights)  # Total height of text block
+
+            # Calculate the starting Y position to center the block of text
+            start_y = coord['y'] - total_text_height // 2
+            for j, line in enumerate(lines):
+                text_width, text_height = current_font.getbbox(line)[2], line_heights[j]
+                if alignment == 'left':
+                    location_x = coord['x']
+                elif alignment == 'center':
+                    location_x = int(coord['x'] - text_width // 2)
+                elif alignment == 'right':
+                    location_x = int(coord['x'] - text_width)
+                
+                location_y = int(start_y + sum(line_heights[:j]))
+                text_position = (location_x, location_y)
+                # Draw the text
+                try:
+                    draw.text(text_position, line, fill=color, font=current_font, features=['-liga'])
+                except:
+                    draw.text(text_position, line, fill=color, font=current_font)
+            
+            image = pil2tensor(image)
+            non_black_pixels = (image > 0).any(dim=-1)
+            mask = non_black_pixels.to(image.dtype)
+            mask_list.append(mask)
+            image_list.append(image)
+
+        out_images = torch.cat(image_list, dim=0).cpu().float()
+        out_masks = torch.cat(mask_list, dim=0)
+        return (out_images, out_masks, 1.0 - out_masks,)
+
+class CreateGradientFromCoords:
+    
+    RETURN_TYPES = ("IMAGE", )
+    RETURN_NAMES = ("image", )
+    FUNCTION = "generate"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Creates a gradient image from coordinates.    
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "coordinates": ("STRING", {"forceInput": True}),
+                "frame_width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "frame_height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "start_color": ("STRING", {"default": 'white'}),
+                "end_color": ("STRING", {"default": 'black'}),
+                "multiplier": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 100.0, "step": 0.01}),
+        },
+    } 
+    
+    def generate(self, coordinates, frame_width, frame_height, start_color, end_color, multiplier):
+        # Parse the coordinates
+        coordinates = json.loads(coordinates.replace("'", '"'))
+
+        # Create an image
+        image = Image.new("RGB", (frame_width, frame_height))
+        draw = ImageDraw.Draw(image)
+
+        # Extract start and end points for the gradient
+        start_coord = coordinates[0]
+        end_coord = coordinates[1]
+
+        start_color = ImageColor.getrgb(start_color)
+        end_color = ImageColor.getrgb(end_color)
+
+        # Calculate the gradient direction (vector)
+        gradient_direction = (end_coord['x'] - start_coord['x'], end_coord['y'] - start_coord['y'])
+        gradient_length = (gradient_direction[0] ** 2 + gradient_direction[1] ** 2) ** 0.5
+
+        # Iterate over each pixel in the image
+        for y in range(frame_height):
+            for x in range(frame_width):
+                # Calculate the projection of the point on the gradient line
+                point_vector = (x - start_coord['x'], y - start_coord['y'])
+                projection = (point_vector[0] * gradient_direction[0] + point_vector[1] * gradient_direction[1]) / gradient_length
+                projection = max(min(projection, gradient_length), 0)  # Clamp the projection value
+
+                # Calculate the blend factor for the current pixel
+                blend = projection * multiplier / gradient_length 
+
+                # Determine the color of the current pixel
+                color = (
+                    int(start_color[0] + (end_color[0] - start_color[0]) * blend),
+                    int(start_color[1] + (end_color[1] - start_color[1]) * blend),
+                    int(start_color[2] + (end_color[2] - start_color[2]) * blend)
+                )
+
+                # Set the pixel color
+                draw.point((x, y), fill=color)
+
+        # Convert the PIL image to a tensor (assuming such a function exists in your context)
+        image_tensor = pil2tensor(image)
+
+        return (image_tensor,)
+
+class GradientToFloat:
+    
+    RETURN_TYPES = ("FLOAT", "FLOAT",)
+    RETURN_NAMES = ("float_x", "float_y", )
+    FUNCTION = "sample"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Calculates list of floats from image.    
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE", ),
+                "steps": ("INT", {"default": 10, "min": 2, "max": 10000, "step": 1}),
+        },
+    } 
+    
+    def sample(self, image, steps):
+        # Assuming image is a tensor with shape [B, H, W, C]
+        B, H, W, C = image.shape
+
+        # Sample along the width axis (W)
+        w_intervals = torch.linspace(0, W - 1, steps=steps, dtype=torch.int64)
+        # Assuming we're sampling from the first batch and the first channel
+        w_sampled = image[0, :, w_intervals, 0]
+
+        # Sample along the height axis (H)
+        h_intervals = torch.linspace(0, H - 1, steps=steps, dtype=torch.int64)
+        # Assuming we're sampling from the first batch and the first channel
+        h_sampled = image[0, h_intervals, :, 0]
+
+        # Taking the mean across the height for width sampling, and across the width for height sampling
+        w_values = w_sampled.mean(dim=0).tolist()
+        h_values = h_sampled.mean(dim=1).tolist()
+
+        return (w_values, h_values)
+    
+class MaskOrImageToWeight:
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "output_type": (
+                [   
+                    'list',
+                    'pandas series',
+                    'tensor',
+                    'string'
+                ],
+                {
+                "default": 'list'
+                    }),
+             },
+            "optional": {
+                "images": ("IMAGE",),
+                "masks": ("MASK",),                
+            },
+
+        }
+    RETURN_TYPES = ("FLOAT", "STRING",)
+    FUNCTION = "execute"
+    CATEGORY = "KJNodes/weights"
+    DESCRIPTION = """
+Gets the mean values from mask or image batch  
+and returns that as the selected output type.   
+"""
+
+    def execute(self, output_type, images=None, masks=None):
+        mean_values = []
+        if masks is not None and images is None:
+            for mask in masks:
+                mean_values.append(mask.mean().item())
+        elif masks is None and images is not None:
+            for image in images:
+                mean_values.append(image.mean().item())
+        elif masks is not None and images is not None:
+            raise Exception("MaskOrImageToWeight: Use either mask or image input only.")
+                  
+        # Convert mean_values to the specified output_type
+        if output_type == 'list':
+            out = mean_values
+        elif output_type == 'pandas series':
+            try:
+                import pandas as pd
+            except:
+                raise Exception("MaskOrImageToWeight: pandas is not installed. Please install pandas to use this output_type")
+            out = pd.Series(mean_values),
+        elif output_type == 'tensor':
+            out = torch.tensor(mean_values, dtype=torch.float32),
+        return (out, [str(value) for value in mean_values],)
+    
+class WeightScheduleConvert:
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "input_values": ("FLOAT", {"default": 0.0, "forceInput": True}),
+                "output_type": (
+                [   
+                    'match_input',
+                    'list',
+                    'pandas series',
+                    'tensor',
+                ],
+                {
+                "default": 'list'
+                    }),
+                "invert": ("BOOLEAN", {"default": False}),
+                "repeat": ("INT", {"default": 1,"min": 1, "max": 255, "step": 1}),
+             },
+             "optional": {
+                "remap_to_frames": ("INT", {"default": 0}),
+                "interpolation_curve": ("FLOAT", {"forceInput": True}),
+                "remap_values": ("BOOLEAN", {"default": False}),
+                "remap_min": ("FLOAT", {"default": 0.0, "min": -100000, "max": 100000.0, "step": 0.01}),
+                "remap_max": ("FLOAT", {"default": 1.0, "min": -100000, "max": 100000.0, "step": 0.01}),
+             },
+             
+        }
+    RETURN_TYPES = ("FLOAT", "STRING", "INT",)
+    FUNCTION = "execute"
+    CATEGORY = "KJNodes/weights"
+    DESCRIPTION = """
+Converts different value lists/series to another type.  
+"""
+
+    def detect_input_type(self, input_values):
+        import pandas as pd
+        if isinstance(input_values, list):
+            return 'list'
+        elif isinstance(input_values, pd.Series):
+            return 'pandas series'
+        elif isinstance(input_values, torch.Tensor):
+            return 'tensor'
+        else:
+            raise ValueError("Unsupported input type")
+
+    def execute(self, input_values, output_type, invert, repeat, remap_to_frames=0, interpolation_curve=None, remap_min=0.0, remap_max=1.0, remap_values=False):
+        import pandas as pd
+        input_type = self.detect_input_type(input_values)
+
+        if input_type == 'pandas series':
+            float_values = input_values.tolist()
+        elif input_type == 'tensor':
+            float_values = input_values
+        else:
+            float_values = input_values
+
+        if invert:
+            float_values = [1 - value for value in float_values]
+
+        if interpolation_curve is not None:
+            interpolated_pattern = []
+            orig_float_values = float_values
+            for value in interpolation_curve:
+                min_val = min(orig_float_values)
+                max_val = max(orig_float_values)
+                # Normalize the values to [0, 1]
+                normalized_values = [(value - min_val) / (max_val - min_val) for value in orig_float_values]
+                # Interpolate the normalized values to the new frame count
+                remapped_float_values = np.interp(np.linspace(0, 1, int(remap_to_frames * value)), np.linspace(0, 1, len(normalized_values)), normalized_values).tolist()
+                interpolated_pattern.extend(remapped_float_values)
+            float_values = interpolated_pattern
+        else:
+            # Remap float_values to match target_frame_amount
+            if remap_to_frames > 0 and remap_to_frames != len(float_values):
+                min_val = min(float_values)
+                max_val = max(float_values)
+                # Normalize the values to [0, 1]
+                normalized_values = [(value - min_val) / (max_val - min_val) for value in float_values]
+                # Interpolate the normalized values to the new frame count
+                float_values = np.interp(np.linspace(0, 1, remap_to_frames), np.linspace(0, 1, len(normalized_values)), normalized_values).tolist()
+       
+            float_values = float_values * repeat
+            if remap_values:
+                float_values = self.remap_values(float_values, remap_min, remap_max)
+
+        if output_type == 'list':
+            out = float_values,
+        elif output_type == 'pandas series':
+            out = pd.Series(float_values),
+        elif output_type == 'tensor':
+            if input_type == 'pandas series':
+                out = torch.tensor(float_values.values, dtype=torch.float32),
+            else:   
+                out = torch.tensor(float_values, dtype=torch.float32),
+        elif output_type == 'match_input':
+            out = float_values,
+        return (out, [str(value) for value in float_values], [int(value) for value in float_values])
+    
+    def remap_values(self, values, target_min, target_max):
+        # Determine the current range
+        current_min = min(values)
+        current_max = max(values)
+        current_range = current_max - current_min
+        
+        # Determine the target range
+        target_range = target_max - target_min
+        
+        # Perform the linear interpolation for each value
+        remapped_values = [(value - current_min) / current_range * target_range + target_min for value in values]
+        
+        return remapped_values
+        
+
+class FloatToMask:
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "input_values": ("FLOAT", {"forceInput": True, "default": 0}),
+                "width": ("INT", {"default": 100, "min": 1}),
+                "height": ("INT", {"default": 100, "min": 1}),
+            },
+        }
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "KJNodes/masking/generate"
+    DESCRIPTION = """
+Generates a batch of masks based on the input float values.
+The batch size is determined by the length of the input float values.
+Each mask is generated with the specified width and height.
+"""
+
+    def execute(self, input_values, width, height):
+        import pandas as pd
+        # Ensure input_values is a list
+        if isinstance(input_values, (float, int)):
+            input_values = [input_values]
+        elif isinstance(input_values, pd.Series):
+            input_values = input_values.tolist()
+        elif isinstance(input_values, list) and all(isinstance(item, list) for item in input_values):
+            input_values = [item for sublist in input_values for item in sublist]
+
+        # Generate a batch of masks based on the input_values
+        masks = []
+        for value in input_values:
+            # Assuming value is a float between 0 and 1 representing the mask's intensity
+            mask = torch.ones((height, width), dtype=torch.float32) * value
+            masks.append(mask)
+        masks_out = torch.stack(masks, dim=0)
+    
+        return(masks_out,)
+class WeightScheduleExtend:
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "input_values_1": ("FLOAT", {"default": 0.0, "forceInput": True}),
+                "input_values_2": ("FLOAT", {"default": 0.0, "forceInput": True}),
+                "output_type": (
+                [   
+                    'match_input',
+                    'list',
+                    'pandas series',
+                    'tensor',
+                ],
+                {
+                "default": 'match_input'
+                    }),
+             },
+             
+        }
+    RETURN_TYPES = ("FLOAT",)
+    FUNCTION = "execute"
+    CATEGORY = "KJNodes/weights"
+    DESCRIPTION = """
+Extends, and converts if needed, different value lists/series  
+"""
+
+    def detect_input_type(self, input_values):
+        import pandas as pd
+        if isinstance(input_values, list):
+            return 'list'
+        elif isinstance(input_values, pd.Series):
+            return 'pandas series'
+        elif isinstance(input_values, torch.Tensor):
+            return 'tensor'
+        else:
+            raise ValueError("Unsupported input type")
+
+    def execute(self, input_values_1, input_values_2, output_type):
+        import pandas as pd
+        input_type_1 = self.detect_input_type(input_values_1)
+        input_type_2 = self.detect_input_type(input_values_2)
+        # Convert input_values_2 to the same format as input_values_1 if they do not match
+        if not input_type_1 == input_type_2:
+            print("Converting input_values_2 to the same format as input_values_1")
+            if input_type_1 == 'pandas series':
+                # Convert input_values_2 to a pandas Series
+                float_values_2 = pd.Series(input_values_2)
+            elif input_type_1 == 'tensor':
+                # Convert input_values_2 to a tensor
+                float_values_2 = torch.tensor(input_values_2, dtype=torch.float32)
+        else:
+            print("Input types match, no conversion needed")
+            # If the types match, no conversion is needed
+            float_values_2 = input_values_2
+     
+        float_values = input_values_1 + float_values_2
+ 
+        if output_type == 'list':
+            return float_values,
+        elif output_type == 'pandas series':
+            return pd.Series(float_values),
+        elif output_type == 'tensor':
+            if input_type_1 == 'pandas series':
+                return torch.tensor(float_values.values, dtype=torch.float32),
+            else:
+                return torch.tensor(float_values, dtype=torch.float32),
+        elif output_type == 'match_input':
+            return float_values,
+        else:
+            raise ValueError(f"Unsupported output_type: {output_type}")
+        
+class FloatToSigmas:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {
+                     "float_list": ("FLOAT", {"default": 0.0, "forceInput": True}),
+                     }
+                }
+    RETURN_TYPES = ("SIGMAS",)
+    RETURN_NAMES = ("SIGMAS",)
+    CATEGORY = "KJNodes/noise"
+    FUNCTION = "customsigmas"
+    DESCRIPTION = """
+Creates a sigmas tensor from list of float values.  
+
+"""
+    def customsigmas(self, float_list):
+        return torch.tensor(float_list, dtype=torch.float32),
+
+class GLIGENTextBoxApplyBatchCoords:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning_to": ("CONDITIONING", ),
+                              "latents": ("LATENT", ),
+                              "clip": ("CLIP", ),
+                              "gligen_textbox_model": ("GLIGEN", ),
+                              "coordinates": ("STRING", {"forceInput": True}),
+                              "text": ("STRING", {"multiline": True}),
+                              "width": ("INT", {"default": 128, "min": 8, "max": 4096, "step": 8}),
+                              "height": ("INT", {"default": 128, "min": 8, "max": 4096, "step": 8}),
+                            },
+                "optional": {"size_multiplier": ("FLOAT", {"default": [1.0], "forceInput": True})},
+                }
+    RETURN_TYPES = ("CONDITIONING", "IMAGE", )
+    RETURN_NAMES = ("conditioning", "coord_preview", )
+    FUNCTION = "append"
+    CATEGORY = "KJNodes/experimental"
+    DESCRIPTION = """
+This node allows scheduling GLIGEN text box positions in a batch,  
+to be used with AnimateDiff-Evolved. Intended to pair with the  
+Spline Editor -node.  
+
+GLIGEN model can be downloaded through the Manage's "Install Models" menu.  
+Or directly from here:  
+https://huggingface.co/comfyanonymous/GLIGEN_pruned_safetensors/tree/main  
+  
+Inputs:  
+- **latents** input is used to calculate batch size  
+- **clip** is your standard text encoder, use same as for the main prompt  
+- **gligen_textbox_model** connects to GLIGEN Loader  
+- **coordinates** takes a json string of points, directly compatible  
+with the spline editor node.
+- **text** is the part of the prompt to set position for  
+- **width** and **height** are the size of the GLIGEN bounding box  
+  
+Outputs:
+- **conditioning** goes between to clip text encode and the sampler  
+- **coord_preview** is an optional preview of the coordinates and  
+bounding boxes.
+
+"""
+
+    def append(self, latents, coordinates, conditioning_to, clip, gligen_textbox_model, text, width, height, size_multiplier=[1.0]):
+        coordinates = json.loads(coordinates.replace("'", '"'))
+        coordinates = [(coord['x'], coord['y']) for coord in coordinates]
+
+        batch_size = sum(tensor.size(0) for tensor in latents.values())
+        if len(coordinates) != batch_size:
+            print("GLIGENTextBoxApplyBatchCoords WARNING: The number of coordinates does not match the number of latents")
+
+        c = []
+        _, cond_pooled = clip.encode_from_tokens(clip.tokenize(text), return_pooled=True)
+
+        for t in conditioning_to:
+            n = [t[0], t[1].copy()]
+            
+            position_params_batch = [[] for _ in range(batch_size)]  # Initialize a list of empty lists for each batch item
+            if len(size_multiplier) != batch_size:
+                size_multiplier = size_multiplier * (batch_size // len(size_multiplier)) + size_multiplier[:batch_size % len(size_multiplier)]
+
+            for i in range(batch_size):
+                x_position, y_position = coordinates[i]
+                position_param = (cond_pooled, int((height // 8) * size_multiplier[i]), int((width // 8) * size_multiplier[i]), (y_position - height // 2) // 8, (x_position - width // 2) // 8)
+                position_params_batch[i].append(position_param)  # Append position_param to the correct sublist
+
+            prev = []
+            if "gligen" in n[1]:
+                prev = n[1]['gligen'][2]
+            else:
+                prev = [[] for _ in range(batch_size)]
+            # Concatenate prev and position_params_batch, ensuring both are lists of lists
+            # and each sublist corresponds to a batch item
+            combined_position_params = [prev_item + batch_item for prev_item, batch_item in zip(prev, position_params_batch)]
+            n[1]['gligen'] = ("position_batched", gligen_textbox_model, combined_position_params)
+            c.append(n)
+
+        image_height = latents['samples'].shape[-2] * 8
+        image_width = latents['samples'].shape[-1] * 8
+        plot_image_tensor = plot_coordinates_to_tensor(coordinates, image_height, image_width, height, width, size_multiplier, text)
+        
+        return (c, plot_image_tensor,)
+    
+class CreateInstanceDiffusionTracking:
+    
+    RETURN_TYPES = ("TRACKING", "STRING", "INT", "INT", "INT", "INT",)
+    RETURN_NAMES = ("tracking", "prompt", "width", "height", "bbox_width", "bbox_height",)
+    FUNCTION = "tracking"
+    CATEGORY = "KJNodes/InstanceDiffusion"
+    DESCRIPTION = """
+Creates tracking data to be used with InstanceDiffusion:  
+https://github.com/logtd/ComfyUI-InstanceDiffusion  
+  
+InstanceDiffusion prompt format:  
+"class_id.class_name": "prompt",  
+for example:  
+"1.head": "((head))",  
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "coordinates": ("STRING", {"forceInput": True}),
+                "width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "bbox_width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "bbox_height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "class_name": ("STRING", {"default": "class_name"}),
+                "class_id": ("INT", {"default": 0,"min": 0, "max": 255, "step": 1}),
+                "prompt": ("STRING", {"default": "prompt", "multiline": True}),
+        },
+        "optional": {
+            "size_multiplier": ("FLOAT", {"default": [1.0], "forceInput": True}),
+            "fit_in_frame": ("BOOLEAN", {"default": True}),
+        }
+    } 
+
+    def tracking(self, coordinates, class_name, class_id, width, height, bbox_width, bbox_height, prompt, size_multiplier=[1.0], fit_in_frame=True):
+        # Define the number of images in the batch
+        coordinates = coordinates.replace("'", '"')
+        coordinates = json.loads(coordinates)
+
+        tracked = {}
+        tracked[class_name] = {}
+        batch_size = len(coordinates)
+        # Initialize a list to hold the coordinates for the current ID
+        id_coordinates = []
+        if len(size_multiplier) != batch_size:
+                size_multiplier = size_multiplier * (batch_size // len(size_multiplier)) + size_multiplier[:batch_size % len(size_multiplier)]
+        for i, coord in enumerate(coordinates):
+            x = coord['x']
+            y = coord['y']
+            adjusted_bbox_width = bbox_width * size_multiplier[i]
+            adjusted_bbox_height = bbox_height * size_multiplier[i]
+            # Calculate the top left and bottom right coordinates
+            top_left_x = x - adjusted_bbox_width // 2
+            top_left_y = y - adjusted_bbox_height // 2
+            bottom_right_x = x + adjusted_bbox_width // 2
+            bottom_right_y = y + adjusted_bbox_height // 2
+
+            if fit_in_frame:
+                # Clip the coordinates to the frame boundaries
+                top_left_x = max(0, top_left_x)
+                top_left_y = max(0, top_left_y)
+                bottom_right_x = min(width, bottom_right_x)
+                bottom_right_y = min(height, bottom_right_y)
+                # Ensure width and height are positive
+                adjusted_bbox_width = max(1, bottom_right_x - top_left_x)
+                adjusted_bbox_height = max(1, bottom_right_y - top_left_y)
+
+                # Update the coordinates with the new width and height
+                bottom_right_x = top_left_x + adjusted_bbox_width
+                bottom_right_y = top_left_y + adjusted_bbox_height
+
+            # Append the top left and bottom right coordinates to the list for the current ID
+            id_coordinates.append([top_left_x, top_left_y, bottom_right_x, bottom_right_y, width, height])
+        
+        class_id = int(class_id)
+        # Assign the list of coordinates to the specified ID within the class_id dictionary
+        tracked[class_name][class_id] = id_coordinates
+
+        prompt_string = ""
+        for class_name, class_data in tracked.items():
+            for class_id in class_data.keys():
+                class_id_str = str(class_id)
+                # Use the incoming prompt for each class name and ID
+                prompt_string += f'"{class_id_str}.{class_name}": "({prompt})",\n'
+
+        # Remove the last comma and newline
+        prompt_string = prompt_string.rstrip(",\n")
+
+        return (tracked, prompt_string, width, height, bbox_width, bbox_height)
+
+class AppendInstanceDiffusionTracking:
+    
+    RETURN_TYPES = ("TRACKING", "STRING",)
+    RETURN_NAMES = ("tracking", "prompt",)
+    FUNCTION = "append"
+    CATEGORY = "KJNodes/InstanceDiffusion"
+    DESCRIPTION = """
+Appends tracking data to be used with InstanceDiffusion:  
+https://github.com/logtd/ComfyUI-InstanceDiffusion  
+
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "tracking_1": ("TRACKING", {"forceInput": True}),
+                "tracking_2": ("TRACKING", {"forceInput": True}),
+        },
+        "optional": {
+            "prompt_1": ("STRING", {"default": "", "forceInput": True}),
+            "prompt_2": ("STRING", {"default": "", "forceInput": True}),
+        }
+    } 
+
+    def append(self, tracking_1, tracking_2, prompt_1="", prompt_2=""):
+        tracking_copy = tracking_1.copy()
+        # Check for existing class names and class IDs, and raise an error if they exist
+        for class_name, class_data in tracking_2.items():
+            if class_name not in tracking_copy:
+                tracking_copy[class_name] = class_data
+            else:
+                # If the class name exists, merge the class data from tracking_2 into tracking_copy
+                # This will add new class IDs under the same class name without raising an error
+                tracking_copy[class_name].update(class_data)
+        prompt_string = prompt_1 + "," + prompt_2
+        return (tracking_copy, prompt_string)
+        
+class InterpolateCoords:
+    
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("coordinates",)
+    FUNCTION = "interpolate"
+    CATEGORY = "KJNodes/experimental"
+    DESCRIPTION = """
+Interpolates coordinates based on a curve.   
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "coordinates": ("STRING", {"forceInput": True}),
+                "interpolation_curve": ("FLOAT", {"forceInput": True}),
+                
+        },
+    } 
+
+    def interpolate(self, coordinates, interpolation_curve):
+        # Parse the JSON string to get the list of coordinates
+        coordinates = json.loads(coordinates.replace("'", '"'))
+
+        # Convert the list of dictionaries to a list of (x, y) tuples for easier processing
+        coordinates = [(coord['x'], coord['y']) for coord in coordinates]
+
+        # Calculate the total length of the original path
+        path_length = sum(np.linalg.norm(np.array(coordinates[i]) - np.array(coordinates[i-1])) 
+                        for i in range(1, len(coordinates)))
+
+        # Initialize variables for interpolation
+        interpolated_coords = []
+        current_length = 0
+        current_index = 0
+
+        # Iterate over the normalized curve
+        for normalized_length in interpolation_curve:
+            target_length = normalized_length * path_length # Convert to the original scale
+            while current_index < len(coordinates) - 1:
+                segment_start, segment_end = np.array(coordinates[current_index]), np.array(coordinates[current_index + 1])
+                segment_length = np.linalg.norm(segment_end - segment_start)
+                if current_length + segment_length >= target_length:
+                    break
+                current_length += segment_length
+                current_index += 1
+
+            # Interpolate between the last two points
+            if current_index < len(coordinates) - 1:
+                p1, p2 = np.array(coordinates[current_index]), np.array(coordinates[current_index + 1])
+                segment_length = np.linalg.norm(p2 - p1)
+                if segment_length > 0:
+                    t = (target_length - current_length) / segment_length
+                    interpolated_point = p1 + t * (p2 - p1)
+                    interpolated_coords.append(interpolated_point.tolist())
+                else:
+                    interpolated_coords.append(p1.tolist())
+            else:
+                # If the target_length is at or beyond the end of the path, add the last coordinate
+                interpolated_coords.append(coordinates[-1])
+
+        # Convert back to string format if necessary
+        interpolated_coords_str = "[" + ", ".join([f"{{'x': {round(coord[0])}, 'y': {round(coord[1])}}}" for coord in interpolated_coords]) + "]"
+        print(interpolated_coords_str)
+
+        return (interpolated_coords_str,)
+    
+class DrawInstanceDiffusionTracking:
+    
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image", )
+    FUNCTION = "draw"
+    CATEGORY = "KJNodes/InstanceDiffusion"
+    DESCRIPTION = """
+Draws the tracking data from  
+CreateInstanceDiffusionTracking -node.
+
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE", ),
+                "tracking": ("TRACKING", {"forceInput": True}),
+                "box_line_width": ("INT", {"default": 2, "min": 1, "max": 10, "step": 1}),
+                "draw_text": ("BOOLEAN", {"default": True}),
+                "font": (folder_paths.get_filename_list("kjnodes_fonts"), ),
+                "font_size": ("INT", {"default": 20}),
+        },
+    } 
+
+    def draw(self, image, tracking, box_line_width, draw_text, font, font_size):
+        import matplotlib.cm as cm
+
+        modified_images = []
+        
+        colormap = cm.get_cmap('rainbow', len(tracking))
+        if draw_text:
+            font_path = folder_paths.get_full_path("kjnodes_fonts", font)
+            font = ImageFont.truetype(font_path, font_size)
+
+        # Iterate over each image in the batch
+        for i in range(image.shape[0]):
+            # Extract the current image and convert it to a PIL image
+            current_image = image[i, :, :, :].permute(2, 0, 1)
+            pil_image = transforms.ToPILImage()(current_image)
+            
+            draw = ImageDraw.Draw(pil_image)
+            
+            # Iterate over the bounding boxes for the current image
+            for j, (class_name, class_data) in enumerate(tracking.items()):
+                for class_id, bbox_list in class_data.items():
+                    # Check if the current index is within the bounds of the bbox_list
+                    if i < len(bbox_list):
+                        bbox = bbox_list[i]
+                        # Ensure bbox is a list or tuple before unpacking
+                        if isinstance(bbox, (list, tuple)):
+                            x1, y1, x2, y2, _, _ = bbox
+                            # Convert coordinates to integers
+                            x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2)
+                            # Generate a color from the rainbow colormap
+                            color = tuple(int(255 * x) for x in colormap(j / len(tracking)))[:3]
+                            # Draw the bounding box on the image with the generated color
+                            draw.rectangle([x1, y1, x2, y2], outline=color, width=box_line_width)
+                            if draw_text:
+                                # Draw the class name and ID as text above the box with the generated color
+                                text = f"{class_id}.{class_name}"
+                                # Calculate the width and height of the text
+                                _, _, text_width, text_height = draw.textbbox((0, 0), text=text, font=font)
+                                # Position the text above the top-left corner of the box
+                                text_position = (x1, y1 - text_height)
+                                draw.text(text_position, text, fill=color, font=font)
+                        else:
+                            print(f"Unexpected data type for bbox: {type(bbox)}")
+            
+            # Convert the drawn image back to a torch tensor and adjust back to (H, W, C)
+            modified_image_tensor = transforms.ToTensor()(pil_image).permute(1, 2, 0)
+            modified_images.append(modified_image_tensor)
+        
+        # Stack the modified images back into a batch
+        image_tensor_batch = torch.stack(modified_images).cpu().float()
+        
+        return image_tensor_batch,
+
+class PointsEditor:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "points_store": ("STRING", {"multiline": False}),
+                "coordinates": ("STRING", {"multiline": False}),
+                "neg_coordinates": ("STRING", {"multiline": False}),
+                "bbox_store": ("STRING", {"multiline": False}),
+                "bboxes": ("STRING", {"multiline": False}),
+                "bbox_format": (
+                [   
+                    'xyxy',
+                    'xywh',
+                ],
+                ),
+                "width": ("INT", {"default": 512, "min": 8, "max": 4096, "step": 8}),
+                "height": ("INT", {"default": 512, "min": 8, "max": 4096, "step": 8}),
+                "normalize": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "bg_image": ("IMAGE", ),
+            },
+        }
+
+    RETURN_TYPES = ("STRING", "STRING", "BBOX", "MASK", "IMAGE")
+    RETURN_NAMES = ("positive_coords", "negative_coords", "bbox", "bbox_mask", "cropped_image")
+    FUNCTION = "pointdata"
+    CATEGORY = "KJNodes/experimental"
+    DESCRIPTION = """
+# WORK IN PROGRESS  
+Do not count on this as part of your workflow yet,  
+probably contains lots of bugs and stability is not  
+guaranteed!!  
+  
+## Graphical editor to create coordinates
+
+**Shift + click** to add a positive (green) point.
+**Shift + right click** to add a negative (red) point.
+**Ctrl + click** to draw a box.  
+**Right click on a point** to delete it.    
+Note that you can't delete from start/end of the points array.  
+  
+To add an image select the node and copy/paste or drag in the image.  
+Or from the bg_image input on queue (first frame of the batch).  
+
+**THE IMAGE IS SAVED TO THE NODE AND WORKFLOW METADATA**  
+you can clear the image from the context menu by right clicking on the canvas  
+
+"""
+
+    def pointdata(self, points_store, bbox_store, width, height, coordinates, neg_coordinates, normalize, bboxes, bbox_format="xyxy", bg_image=None):
+        import io
+        import base64
+        
+        coordinates = json.loads(coordinates)
+        pos_coordinates = []
+        for coord in coordinates:
+            coord['x'] = int(round(coord['x']))
+            coord['y'] = int(round(coord['y']))
+            if normalize:
+                norm_x = coord['x'] / width
+                norm_y = coord['y'] / height
+                pos_coordinates.append({'x': norm_x, 'y': norm_y})
+            else:
+                pos_coordinates.append({'x': coord['x'], 'y': coord['y']})
+
+        if neg_coordinates:
+            coordinates = json.loads(neg_coordinates)
+            neg_coordinates = []
+            for coord in coordinates:
+                coord['x'] = int(round(coord['x']))
+                coord['y'] = int(round(coord['y']))
+                if normalize:
+                    norm_x = coord['x'] / width
+                    norm_y = coord['y'] / height
+                    neg_coordinates.append({'x': norm_x, 'y': norm_y})
+                else:
+                    neg_coordinates.append({'x': coord['x'], 'y': coord['y']})
+
+        # Create a blank mask
+        mask = np.zeros((height, width), dtype=np.uint8)
+        bboxes = json.loads(bboxes)
+        print(bboxes)
+        valid_bboxes = []
+        for bbox in bboxes:
+            if (bbox.get("startX") is None or
+                bbox.get("startY") is None or
+                bbox.get("endX") is None or
+                bbox.get("endY") is None):
+                continue  # Skip this bounding box if any value is None
+            else:                
+                # Ensure that endX and endY are greater than startX and startY
+                x_min = min(int(bbox["startX"]), int(bbox["endX"]))
+                y_min = min(int(bbox["startY"]), int(bbox["endY"]))
+                x_max = max(int(bbox["startX"]), int(bbox["endX"]))
+                y_max = max(int(bbox["startY"]), int(bbox["endY"]))
+                
+                valid_bboxes.append((x_min, y_min, x_max, y_max))
+
+            bboxes_xyxy = []
+            for bbox in valid_bboxes:
+                x_min, y_min, x_max, y_max = bbox
+                bboxes_xyxy.append((x_min, y_min, x_max, y_max))
+                mask[y_min:y_max, x_min:x_max] = 1  # Fill the bounding box area with 1s
+
+            if bbox_format == "xywh":
+                bboxes_xywh = []
+                for bbox in valid_bboxes:
+                    x_min, y_min, x_max, y_max = bbox
+                    width = x_max - x_min
+                    height = y_max - y_min
+                    bboxes_xywh.append((x_min, y_min, width, height))
+                bboxes = bboxes_xywh
+            else:
+                bboxes = bboxes_xyxy           
+
+        mask_tensor = torch.from_numpy(mask)
+        mask_tensor = mask_tensor.unsqueeze(0).float().cpu()
+
+        if bg_image is not None and len(valid_bboxes) > 0:
+            x_min, y_min, x_max, y_max = bboxes[0]
+            cropped_image = bg_image[:, y_min:y_max, x_min:x_max, :]
+
+        elif bg_image is not None:
+            cropped_image = bg_image
+
+        if bg_image is None:
+            return (json.dumps(pos_coordinates), json.dumps(neg_coordinates), bboxes, mask_tensor)
+        else:
+            transform = transforms.ToPILImage()
+            image = transform(bg_image[0].permute(2, 0, 1))
+            buffered = io.BytesIO()
+            image.save(buffered, format="JPEG", quality=75)
+
+            # Step 3: Encode the image bytes to a Base64 string
+            img_bytes = buffered.getvalue()
+            img_base64 = base64.b64encode(img_bytes).decode('utf-8')
+        
+            return {
+                "ui": {"bg_image": [img_base64]}, 
+                "result": (json.dumps(pos_coordinates), json.dumps(neg_coordinates), bboxes, mask_tensor, cropped_image)
+            }
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/image_nodes.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/image_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..170175220ebe1f075841c1b4b62eeff409a4d7e4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/image_nodes.py
@@ -0,0 +1,1941 @@
+import numpy as np
+import time
+import torch
+import torch.nn.functional as F
+import torchvision.transforms as T
+import random
+import math
+import os
+import re
+import json
+import hashlib
+try:
+    import cv2
+except:
+    print("OpenCV not installed")
+    pass
+from PIL import ImageGrab, ImageDraw, ImageFont, Image, ImageSequence, ImageOps
+
+from nodes import MAX_RESOLUTION, SaveImage
+from comfy_extras.nodes_mask import ImageCompositeMasked
+from comfy.cli_args import args
+from comfy.utils import ProgressBar, common_upscale
+import folder_paths
+import model_management
+
+script_directory = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+
+class ImagePass:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {               
+            },
+            "optional": {
+                "image": ("IMAGE",),
+            },
+        }
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "passthrough"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Passes the image through without modifying it.
+"""
+
+    def passthrough(self, image=None):
+        return image,
+
+class ColorMatch:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image_ref": ("IMAGE",),
+                "image_target": ("IMAGE",),
+                "method": (
+            [   
+                'mkl',
+                'hm', 
+                'reinhard', 
+                'mvgd', 
+                'hm-mvgd-hm', 
+                'hm-mkl-hm',
+            ], {
+               "default": 'mkl'
+            }),
+            },
+            "optional": {
+                "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+            }
+        }
+    
+    CATEGORY = "KJNodes/image"
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = "colormatch"
+    DESCRIPTION = """
+color-matcher enables color transfer across images which comes in handy for automatic  
+color-grading of photographs, paintings and film sequences as well as light-field  
+and stopmotion corrections.  
+
+The methods behind the mappings are based on the approach from Reinhard et al.,  
+the Monge-Kantorovich Linearization (MKL) as proposed by Pitie et al. and our analytical solution  
+to a Multi-Variate Gaussian Distribution (MVGD) transfer in conjunction with classical histogram   
+matching. As shown below our HM-MVGD-HM compound outperforms existing methods.   
+https://github.com/hahnec/color-matcher/
+
+"""
+    
+    def colormatch(self, image_ref, image_target, method, strength=1.0):
+        try:
+            from color_matcher import ColorMatcher
+        except:
+            raise Exception("Can't import color-matcher, did you install requirements.txt? Manual install: pip install color-matcher")
+        cm = ColorMatcher()
+        image_ref = image_ref.cpu()
+        image_target = image_target.cpu()
+        batch_size = image_target.size(0)
+        out = []
+        images_target = image_target.squeeze()
+        images_ref = image_ref.squeeze()
+
+        image_ref_np = images_ref.numpy()
+        images_target_np = images_target.numpy()
+
+        if image_ref.size(0) > 1 and image_ref.size(0) != batch_size:
+            raise ValueError("ColorMatch: Use either single reference image or a matching batch of reference images.")
+
+        for i in range(batch_size):
+            image_target_np = images_target_np if batch_size == 1 else images_target[i].numpy()
+            image_ref_np_i = image_ref_np if image_ref.size(0) == 1 else images_ref[i].numpy()
+            try:
+                image_result = cm.transfer(src=image_target_np, ref=image_ref_np_i, method=method)
+            except BaseException as e:
+                print(f"Error occurred during transfer: {e}")
+                break
+            # Apply the strength multiplier
+            image_result = image_target_np + strength * (image_result - image_target_np)
+            out.append(torch.from_numpy(image_result))
+            
+        out = torch.stack(out, dim=0).to(torch.float32)
+        out.clamp_(0, 1)
+        return (out,)
+    
+class SaveImageWithAlpha:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+        self.type = "output"
+        self.prefix_append = ""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": 
+                    {"images": ("IMAGE", ),
+                    "mask": ("MASK", ),
+                    "filename_prefix": ("STRING", {"default": "ComfyUI"})},
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+                }
+
+    RETURN_TYPES = ()
+    FUNCTION = "save_images_alpha"
+    OUTPUT_NODE = True
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Saves an image and mask as .PNG with the mask as the alpha channel. 
+"""
+
+    def save_images_alpha(self, images, mask, filename_prefix="ComfyUI_image_with_alpha", prompt=None, extra_pnginfo=None):
+        from PIL.PngImagePlugin import PngInfo
+        filename_prefix += self.prefix_append
+        full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0])
+        results = list()
+        if mask.dtype == torch.float16:
+            mask = mask.to(torch.float32)
+        def file_counter():
+            max_counter = 0
+            # Loop through the existing files
+            for existing_file in os.listdir(full_output_folder):
+                # Check if the file matches the expected format
+                match = re.fullmatch(fr"{filename}_(\d+)_?\.[a-zA-Z0-9]+", existing_file)
+                if match:
+                    # Extract the numeric portion of the filename
+                    file_counter = int(match.group(1))
+                    # Update the maximum counter value if necessary
+                    if file_counter > max_counter:
+                        max_counter = file_counter
+            return max_counter
+
+        for image, alpha in zip(images, mask):
+            i = 255. * image.cpu().numpy()
+            a = 255. * alpha.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+            
+             # Resize the mask to match the image size
+            a_resized = Image.fromarray(a).resize(img.size, Image.LANCZOS)
+            a_resized = np.clip(a_resized, 0, 255).astype(np.uint8)
+            img.putalpha(Image.fromarray(a_resized, mode='L'))
+            metadata = None
+            if not args.disable_metadata:
+                metadata = PngInfo()
+                if prompt is not None:
+                    metadata.add_text("prompt", json.dumps(prompt))
+                if extra_pnginfo is not None:
+                    for x in extra_pnginfo:
+                        metadata.add_text(x, json.dumps(extra_pnginfo[x]))
+           
+            # Increment the counter by 1 to get the next available value
+            counter = file_counter() + 1
+            file = f"{filename}_{counter:05}.png"
+            img.save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=4)
+            results.append({
+                "filename": file,
+                "subfolder": subfolder,
+                "type": self.type
+            })
+
+        return { "ui": { "images": results } }
+
+class ImageConcanate:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "image1": ("IMAGE",),
+            "image2": ("IMAGE",),
+            "direction": (
+            [   'right',
+                'down',
+                'left',
+                'up',
+            ],
+            {
+            "default": 'right'
+             }),
+            "match_image_size": ("BOOLEAN", {"default": True}),
+        }}
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "concanate"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Concatenates the image2 to image1 in the specified direction.
+"""
+
+    def concanate(self, image1, image2, direction, match_image_size, first_image_shape=None):
+        # Check if the batch sizes are different
+        batch_size1 = image1.shape[0]
+        batch_size2 = image2.shape[0]
+
+        if batch_size1 != batch_size2:
+            # Calculate the number of repetitions needed
+            max_batch_size = max(batch_size1, batch_size2)
+            repeats1 = max_batch_size // batch_size1
+            repeats2 = max_batch_size // batch_size2
+            
+            # Repeat the images to match the largest batch size
+            image1 = image1.repeat(repeats1, 1, 1, 1)
+            image2 = image2.repeat(repeats2, 1, 1, 1)
+
+        if match_image_size:
+            # Use first_image_shape if provided; otherwise, default to image1's shape
+            target_shape = first_image_shape if first_image_shape is not None else image1.shape
+
+            original_height = image2.shape[1]
+            original_width = image2.shape[2]
+            original_aspect_ratio = original_width / original_height
+
+            if direction in ['left', 'right']:
+                # Match the height and adjust the width to preserve aspect ratio
+                target_height = target_shape[1]  # B, H, W, C format
+                target_width = int(target_height * original_aspect_ratio)
+            elif direction in ['up', 'down']:
+                # Match the width and adjust the height to preserve aspect ratio
+                target_width = target_shape[2]  # B, H, W, C format
+                target_height = int(target_width / original_aspect_ratio)
+            
+            # Adjust image2 to the expected format for common_upscale
+            image2_for_upscale = image2.movedim(-1, 1)  # Move C to the second position (B, C, H, W)
+            
+            # Resize image2 to match the target size while preserving aspect ratio
+            image2_resized = common_upscale(image2_for_upscale, target_width, target_height, "lanczos", "disabled")
+            
+            # Adjust image2 back to the original format (B, H, W, C) after resizing
+            image2_resized = image2_resized.movedim(1, -1)
+        else:
+            image2_resized = image2
+
+        # Concatenate based on the specified direction
+        if direction == 'right':
+            concatenated_image = torch.cat((image1, image2_resized), dim=2)  # Concatenate along width
+        elif direction == 'down':
+            concatenated_image = torch.cat((image1, image2_resized), dim=1)  # Concatenate along height
+        elif direction == 'left':
+            concatenated_image = torch.cat((image2_resized, image1), dim=2)  # Concatenate along width
+        elif direction == 'up':
+            concatenated_image = torch.cat((image2_resized, image1), dim=1)  # Concatenate along height
+        return concatenated_image,
+
+import torch  # Make sure you have PyTorch installed
+
+class ImageConcatFromBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "images": ("IMAGE",),
+            "num_columns": ("INT", {"default": 3, "min": 1, "max": 255, "step": 1}),
+            "match_image_size": ("BOOLEAN", {"default": False}),
+            "max_resolution": ("INT", {"default": 4096}), 
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "concat"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+    Concatenates images from a batch into a grid with a specified number of columns.
+    """
+
+    def concat(self, images, num_columns, match_image_size, max_resolution):
+        # Assuming images is a batch of images (B, H, W, C)
+        batch_size, height, width, channels = images.shape
+        num_rows = (batch_size + num_columns - 1) // num_columns  # Calculate number of rows
+
+        print(f"Initial dimensions: batch_size={batch_size}, height={height}, width={width}, channels={channels}")
+        print(f"num_rows={num_rows}, num_columns={num_columns}")
+
+        if match_image_size:
+            target_shape = images[0].shape
+
+            resized_images = []
+            for image in images:
+                original_height = image.shape[0]
+                original_width = image.shape[1]
+                original_aspect_ratio = original_width / original_height
+
+                if original_aspect_ratio > 1:
+                    target_height = target_shape[0]
+                    target_width = int(target_height * original_aspect_ratio)
+                else:
+                    target_width = target_shape[1]
+                    target_height = int(target_width / original_aspect_ratio)
+
+                print(f"Resizing image from ({original_height}, {original_width}) to ({target_height}, {target_width})")
+
+                # Resize the image to match the target size while preserving aspect ratio
+                resized_image = common_upscale(image.movedim(-1, 0), target_width, target_height, "lanczos", "disabled")
+                resized_image = resized_image.movedim(0, -1)  # Move channels back to the last dimension
+                resized_images.append(resized_image)
+
+            # Convert the list of resized images back to a tensor
+            images = torch.stack(resized_images)
+
+            height, width = target_shape[:2]  # Update height and width
+
+        # Initialize an empty grid
+        grid_height = num_rows * height
+        grid_width = num_columns * width
+
+        print(f"Grid dimensions before scaling: grid_height={grid_height}, grid_width={grid_width}")
+
+        # Original scale factor calculation remains unchanged
+        scale_factor = min(max_resolution / grid_height, max_resolution / grid_width, 1.0)
+
+        # Apply scale factor to height and width
+        scaled_height = height * scale_factor
+        scaled_width = width * scale_factor
+
+        # Round scaled dimensions to the nearest number divisible by 8
+        height = max(1, int(round(scaled_height / 8) * 8))
+        width = max(1, int(round(scaled_width / 8) * 8))
+
+        if abs(scaled_height - height) > 4:
+            height = max(1, int(round((scaled_height + 4) / 8) * 8))
+        if abs(scaled_width - width) > 4:
+            width = max(1, int(round((scaled_width + 4) / 8) * 8))
+
+        # Recalculate grid dimensions with adjusted height and width
+        grid_height = num_rows * height
+        grid_width = num_columns * width
+        print(f"Grid dimensions after scaling: grid_height={grid_height}, grid_width={grid_width}")
+        print(f"Final image dimensions: height={height}, width={width}")
+
+        grid = torch.zeros((grid_height, grid_width, channels), dtype=images.dtype)
+
+        for idx, image in enumerate(images):
+            resized_image = torch.nn.functional.interpolate(image.unsqueeze(0).permute(0, 3, 1, 2), size=(height, width), mode="bilinear").squeeze().permute(1, 2, 0)
+            row = idx // num_columns
+            col = idx % num_columns
+            grid[row*height:(row+1)*height, col*width:(col+1)*width, :] = resized_image
+
+        return grid.unsqueeze(0),
+    
+class ImageGridComposite2x2:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "image1": ("IMAGE",),
+            "image2": ("IMAGE",),
+            "image3": ("IMAGE",),
+            "image4": ("IMAGE",),   
+        }}
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "compositegrid"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Concatenates the 4 input images into a 2x2 grid. 
+"""
+
+    def compositegrid(self, image1, image2, image3, image4):
+        top_row = torch.cat((image1, image2), dim=2)
+        bottom_row = torch.cat((image3, image4), dim=2)
+        grid = torch.cat((top_row, bottom_row), dim=1)
+        return (grid,)
+    
+class ImageGridComposite3x3:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "image1": ("IMAGE",),
+            "image2": ("IMAGE",),
+            "image3": ("IMAGE",),
+            "image4": ("IMAGE",),
+            "image5": ("IMAGE",),
+            "image6": ("IMAGE",),
+            "image7": ("IMAGE",),
+            "image8": ("IMAGE",),
+            "image9": ("IMAGE",),     
+        }}
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "compositegrid"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Concatenates the 9 input images into a 3x3 grid. 
+"""
+
+    def compositegrid(self, image1, image2, image3, image4, image5, image6, image7, image8, image9):
+        top_row = torch.cat((image1, image2, image3), dim=2)
+        mid_row = torch.cat((image4, image5, image6), dim=2)
+        bottom_row = torch.cat((image7, image8, image9), dim=2)
+        grid = torch.cat((top_row, mid_row, bottom_row), dim=1)
+        return (grid,)
+    
+class ImageBatchTestPattern:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "batch_size": ("INT", {"default": 1,"min": 1, "max": 255, "step": 1}),
+            "start_from": ("INT", {"default": 0,"min": 0, "max": 255, "step": 1}),
+            "text_x": ("INT", {"default": 256,"min": 0, "max": 4096, "step": 1}),
+            "text_y": ("INT", {"default": 256,"min": 0, "max": 4096, "step": 1}),
+            "width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+            "height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+            "font": (folder_paths.get_filename_list("kjnodes_fonts"), ),
+            "font_size": ("INT", {"default": 255,"min": 8, "max": 4096, "step": 1}),
+        }}
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "generatetestpattern"
+    CATEGORY = "KJNodes/text"
+
+    def generatetestpattern(self, batch_size, font, font_size, start_from, width, height, text_x, text_y):
+        out = []
+        # Generate the sequential numbers for each image
+        numbers = np.arange(start_from, start_from + batch_size)
+        font_path = folder_paths.get_full_path("kjnodes_fonts", font)
+
+        for number in numbers:
+            # Create a black image with the number as a random color text
+            image = Image.new("RGB", (width, height), color='black')
+            draw = ImageDraw.Draw(image)
+            
+            # Generate a random color for the text
+            font_color = (random.randint(0, 255), random.randint(0, 255), random.randint(0, 255))
+            
+            font = ImageFont.truetype(font_path, font_size)
+            
+            # Get the size of the text and position it in the center
+            text = str(number)
+           
+            try:
+                draw.text((text_x, text_y), text, font=font, fill=font_color, features=['-liga'])
+            except:
+                draw.text((text_x, text_y), text, font=font, fill=font_color,)
+            
+            # Convert the image to a numpy array and normalize the pixel values
+            image_np = np.array(image).astype(np.float32) / 255.0
+            image_tensor = torch.from_numpy(image_np).unsqueeze(0)
+            out.append(image_tensor)
+        out_tensor = torch.cat(out, dim=0)
+  
+        return (out_tensor,)
+
+class ImageGrabPIL:
+
+    @classmethod
+    def IS_CHANGED(cls):
+
+        return
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = "screencap"
+    CATEGORY = "KJNodes/experimental"
+    DESCRIPTION = """
+Captures an area specified by screen coordinates.  
+Can be used for realtime diffusion with autoqueue.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "x": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
+                 "y": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
+                 "width": ("INT", {"default": 512,"min": 0, "max": 4096, "step": 1}),
+                 "height": ("INT", {"default": 512,"min": 0, "max": 4096, "step": 1}),
+                 "num_frames": ("INT", {"default": 1,"min": 1, "max": 255, "step": 1}),
+                 "delay": ("FLOAT", {"default": 0.1,"min": 0.0, "max": 10.0, "step": 0.01}),
+        },
+    } 
+
+    def screencap(self, x, y, width, height, num_frames, delay):
+        start_time = time.time()
+        captures = []
+        bbox = (x, y, x + width, y + height)
+        
+        for _ in range(num_frames):
+            # Capture screen
+            screen_capture = ImageGrab.grab(bbox=bbox)
+            screen_capture_torch = torch.from_numpy(np.array(screen_capture, dtype=np.float32) / 255.0).unsqueeze(0)
+            captures.append(screen_capture_torch)
+            
+            # Wait for a short delay if more than one frame is to be captured
+            if num_frames > 1:
+                time.sleep(delay)
+
+        elapsed_time = time.time() - start_time
+        print(f"screengrab took {elapsed_time} seconds.")
+        
+        return (torch.cat(captures, dim=0),)
+    
+class Screencap_mss:
+
+    @classmethod
+    def IS_CHANGED(cls):
+
+        return
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = "screencap"
+    CATEGORY = "KJNodes/experimental"
+    DESCRIPTION = """
+Captures an area specified by screen coordinates.  
+Can be used for realtime diffusion with autoqueue.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "x": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
+                 "y": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
+                 "width": ("INT", {"default": 512,"min": 0, "max": 4096, "step": 1}),
+                 "height": ("INT", {"default": 512,"min": 0, "max": 4096, "step": 1}),
+                 "num_frames": ("INT", {"default": 1,"min": 1, "max": 255, "step": 1}),
+                 "delay": ("FLOAT", {"default": 0.1,"min": 0.0, "max": 10.0, "step": 0.01}),
+        },
+    } 
+
+    def screencap(self, x, y, width, height, num_frames, delay):
+        from mss import mss
+        captures = []
+        with mss() as sct:
+            bbox = {'top': y, 'left': x, 'width': width, 'height': height}
+            
+            for _ in range(num_frames):
+                sct_img = sct.grab(bbox)
+                img_np = np.array(sct_img)
+                img_torch = torch.from_numpy(img_np[..., [2, 1, 0]]).float() / 255.0
+                captures.append(img_torch)
+                
+                if num_frames > 1:
+                    time.sleep(delay)
+        
+        return (torch.stack(captures, 0),)
+    
+class WebcamCaptureCV2:
+
+    @classmethod
+    def IS_CHANGED(cls):
+        return
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = "capture"
+    CATEGORY = "KJNodes/experimental"
+    DESCRIPTION = """
+Captures a frame from a webcam using CV2.  
+Can be used for realtime diffusion with autoqueue.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "x": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
+                 "y": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
+                 "width": ("INT", {"default": 512,"min": 0, "max": 4096, "step": 1}),
+                 "height": ("INT", {"default": 512,"min": 0, "max": 4096, "step": 1}),
+                 "cam_index": ("INT", {"default": 0,"min": 0, "max": 255, "step": 1}),
+                 "release": ("BOOLEAN", {"default": False}),
+            },
+        } 
+
+    def capture(self, x, y, cam_index, width, height, release):
+        # Check if the camera index has changed or the capture object doesn't exist
+        if not hasattr(self, "cap") or self.cap is None or self.current_cam_index != cam_index:
+            if hasattr(self, "cap") and self.cap is not None:
+                self.cap.release()
+            self.current_cam_index = cam_index
+            self.cap = cv2.VideoCapture(cam_index)
+            try:
+                self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
+                self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
+            except:
+                pass
+            if not self.cap.isOpened():
+                raise Exception("Could not open webcam")
+    
+        ret, frame = self.cap.read()
+        if not ret:
+            raise Exception("Failed to capture image from webcam")
+    
+        # Crop the frame to the specified bbox
+        frame = frame[y:y+height, x:x+width]
+        img_torch = torch.from_numpy(frame[..., [2, 1, 0]]).float() / 255.0
+    
+        if release:
+            self.cap.release()
+            self.cap = None
+    
+        return (img_torch.unsqueeze(0),)
+    
+class AddLabel:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "image":("IMAGE",),  
+            "text_x": ("INT", {"default": 10, "min": 0, "max": 4096, "step": 1}),
+            "text_y": ("INT", {"default": 2, "min": 0, "max": 4096, "step": 1}),
+            "height": ("INT", {"default": 48, "min": 0, "max": 4096, "step": 1}),
+            "font_size": ("INT", {"default": 32, "min": 0, "max": 4096, "step": 1}),
+            "font_color": ("STRING", {"default": "white"}),
+            "label_color": ("STRING", {"default": "black"}),
+            "font": (folder_paths.get_filename_list("kjnodes_fonts"), ),
+            "text": ("STRING", {"default": "Text"}),
+            "direction": (
+            [   'up',
+                'down',
+                'left',
+                'right',
+                'overlay'
+            ],
+            {
+            "default": 'up'
+             }),
+            },
+            "optional":{
+                "caption": ("STRING", {"default": "", "forceInput": True}),
+            }
+            }
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "addlabel"
+    CATEGORY = "KJNodes/text"
+    DESCRIPTION = """
+Creates a new with the given text, and concatenates it to  
+either above or below the input image.  
+Note that this changes the input image's height!  
+Fonts are loaded from this folder:  
+ComfyUI/custom_nodes/ComfyUI-KJNodes/fonts
+"""
+        
+    def addlabel(self, image, text_x, text_y, text, height, font_size, font_color, label_color, font, direction, caption=""):
+        batch_size = image.shape[0]
+        width = image.shape[2]
+        
+        font_path = os.path.join(script_directory, "fonts", "TTNorms-Black.otf") if font == "TTNorms-Black.otf" else folder_paths.get_full_path("kjnodes_fonts", font)
+        
+        def process_image(input_image, caption_text):
+            if direction == 'overlay':
+                pil_image = Image.fromarray((input_image.cpu().numpy() * 255).astype(np.uint8))
+            else:
+                label_image = Image.new("RGB", (width, height), label_color)
+                pil_image = label_image
+                
+            draw = ImageDraw.Draw(pil_image)
+            font = ImageFont.truetype(font_path, font_size)
+            
+            words = caption_text.split()
+            
+            lines = []
+            current_line = []
+            current_line_width = 0
+            for word in words:
+                word_width = font.getbbox(word)[2]
+                if current_line_width + word_width <= width - 2 * text_x:
+                    current_line.append(word)
+                    current_line_width += word_width + font.getbbox(" ")[2] # Add space width
+                else:
+                    lines.append(" ".join(current_line))
+                    current_line = [word]
+                    current_line_width = word_width
+            
+            if current_line:
+                lines.append(" ".join(current_line))
+            
+            y_offset = text_y
+            for line in lines:
+                try:
+                    draw.text((text_x, y_offset), line, font=font, fill=font_color, features=['-liga'])
+                except:
+                    draw.text((text_x, y_offset), line, font=font, fill=font_color)
+                y_offset += font_size # Move to the next line
+                
+            processed_image = torch.from_numpy(np.array(pil_image).astype(np.float32) / 255.0).unsqueeze(0)
+            return processed_image
+        
+        if caption == "":
+            processed_images = [process_image(img, text) for img in image]
+        else:
+            assert len(caption) == batch_size, f"Number of captions {(len(caption))} does not match number of images"
+            processed_images = [process_image(img, cap) for img, cap in zip(image, caption)]
+        processed_batch = torch.cat(processed_images, dim=0)
+
+        # Combine images based on direction
+        if direction == 'down':
+            combined_images = torch.cat((image, processed_batch), dim=1)
+        elif direction == 'up':
+            combined_images = torch.cat((processed_batch, image), dim=1)
+        elif direction == 'left':
+            processed_batch = torch.rot90(processed_batch, 3, (2, 3)).permute(0, 3, 1, 2)
+            combined_images = torch.cat((processed_batch, image), dim=2)
+        elif direction == 'right':
+            processed_batch = torch.rot90(processed_batch, 3, (2, 3)).permute(0, 3, 1, 2)
+            combined_images = torch.cat((image, processed_batch), dim=2)
+        else:
+            combined_images = processed_batch
+        
+        return (combined_images,)
+    
+class GetImageSizeAndCount:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "image": ("IMAGE",),
+        }}
+
+    RETURN_TYPES = ("IMAGE","INT", "INT", "INT",)
+    RETURN_NAMES = ("image", "width", "height", "count",)
+    FUNCTION = "getsize"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Returns width, height and batch size of the image,  
+and passes it through unchanged.  
+
+"""
+
+    def getsize(self, image):
+        width = image.shape[2]
+        height = image.shape[1]
+        count = image.shape[0]
+        return {"ui": {
+            "text": [f"{count}x{width}x{height}"]}, 
+            "result": (image, width, height, count) 
+        }
+    
+class ImageBatchRepeatInterleaving:
+    
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "repeat"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Repeats each image in a batch by the specified number of times.  
+Example batch of 5 images: 0, 1 ,2, 3, 4  
+with repeats 2 becomes batch of 10 images: 0, 0, 1, 1, 2, 2, 3, 3, 4, 4  
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "images": ("IMAGE",),
+                 "repeats": ("INT", {"default": 1, "min": 1, "max": 4096}),
+        },
+    } 
+    
+    def repeat(self, images, repeats):
+       
+        repeated_images = torch.repeat_interleave(images, repeats=repeats, dim=0)
+        return (repeated_images, )
+    
+class ImageUpscaleWithModelBatched:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "upscale_model": ("UPSCALE_MODEL",),
+                              "images": ("IMAGE",),
+                              "per_batch": ("INT", {"default": 16, "min": 1, "max": 4096, "step": 1}),
+                              }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "upscale"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Same as ComfyUI native model upscaling node,  
+but allows setting sub-batches for reduced VRAM usage.
+"""
+    def upscale(self, upscale_model, images, per_batch):
+        
+        device = model_management.get_torch_device()
+        upscale_model.to(device)
+        in_img = images.movedim(-1,-3)
+        
+        steps = in_img.shape[0]
+        pbar = ProgressBar(steps)
+        t = []
+        
+        for start_idx in range(0, in_img.shape[0], per_batch):
+            sub_images = upscale_model(in_img[start_idx:start_idx+per_batch].to(device))
+            t.append(sub_images.cpu())
+            # Calculate the number of images processed in this batch
+            batch_count = sub_images.shape[0]
+            # Update the progress bar by the number of images processed in this batch
+            pbar.update(batch_count)
+        upscale_model.cpu()
+        
+        t = torch.cat(t, dim=0).permute(0, 2, 3, 1).cpu()
+
+        return (t,)
+
+class ImageNormalize_Neg1_To_1:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { 
+                              "images": ("IMAGE",),
+    
+                              }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "normalize"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Normalize the images to be in the range [-1, 1]  
+"""
+
+    def normalize(self,images):
+        images = images * 2.0 - 1.0
+        return (images,)
+
+class RemapImageRange:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { 
+            "image": ("IMAGE",),
+            "min": ("FLOAT", {"default": 0.0,"min": -10.0, "max": 1.0, "step": 0.01}),
+            "max": ("FLOAT", {"default": 1.0,"min": 0.0, "max": 10.0, "step": 0.01}),
+            "clamp": ("BOOLEAN", {"default": True}),
+            },
+            }
+    
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "remap"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Remaps the image values to the specified range. 
+"""
+        
+    def remap(self, image, min, max, clamp):
+        if image.dtype == torch.float16:
+            image = image.to(torch.float32)
+        image = min + image * (max - min)
+        if clamp:
+            image = torch.clamp(image, min=0.0, max=1.0)
+        return (image, )
+
+class SplitImageChannels:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { 
+            "image": ("IMAGE",),
+            },
+            }
+    
+    RETURN_TYPES = ("IMAGE", "IMAGE", "IMAGE", "MASK")
+    RETURN_NAMES = ("red", "green", "blue", "mask")
+    FUNCTION = "split"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Splits image channels into images where the selected channel  
+is repeated for all channels, and the alpha as a mask. 
+"""
+        
+    def split(self, image):
+        red = image[:, :, :, 0:1] # Red channel
+        green = image[:, :, :, 1:2] # Green channel
+        blue = image[:, :, :, 2:3] # Blue channel
+        alpha = image[:, :, :, 3:4] # Alpha channel
+        alpha = alpha.squeeze(-1)
+
+        # Repeat the selected channel for all channels
+        red = torch.cat([red, red, red], dim=3)
+        green = torch.cat([green, green, green], dim=3)
+        blue = torch.cat([blue, blue, blue], dim=3)
+        return (red, green, blue, alpha)
+    
+class MergeImageChannels:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { 
+            "red": ("IMAGE",),
+            "green": ("IMAGE",),
+            "blue": ("IMAGE",),
+            
+            },
+            "optional": {
+                "alpha": ("MASK", {"default": None}),
+                },
+            }
+    
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = "merge"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Merges channel data into an image.  
+"""
+        
+    def merge(self, red, green, blue, alpha=None):
+        image = torch.stack([
+        red[..., 0, None], # Red channel
+        green[..., 1, None], # Green channel
+        blue[..., 2, None]   # Blue channel
+        ], dim=-1)
+        image = image.squeeze(-2)
+        if alpha is not None:
+            image = torch.cat([image, alpha.unsqueeze(-1)], dim=-1)
+        return (image,)
+
+class ImagePadForOutpaintMasked:
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "left": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "top": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "right": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "bottom": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "feathering": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+            },
+            "optional": {
+                "mask": ("MASK",),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    FUNCTION = "expand_image"
+
+    CATEGORY = "image"
+
+    def expand_image(self, image, left, top, right, bottom, feathering, mask=None):
+        if mask is not None:
+            if torch.allclose(mask, torch.zeros_like(mask)):
+                    print("Warning: The incoming mask is fully black. Handling it as None.")
+                    mask = None
+        B, H, W, C = image.size()
+
+        new_image = torch.ones(
+            (B, H + top + bottom, W + left + right, C),
+            dtype=torch.float32,
+        ) * 0.5
+
+        new_image[:, top:top + H, left:left + W, :] = image
+
+        if mask is None:
+            new_mask = torch.ones(
+                (B, H + top + bottom, W + left + right),
+                dtype=torch.float32,
+            )
+
+            t = torch.zeros(
+            (B, H, W),
+            dtype=torch.float32
+            )
+        else:
+            # If a mask is provided, pad it to fit the new image size
+            mask = F.pad(mask, (left, right, top, bottom), mode='constant', value=0)
+            mask = 1 - mask
+            t = torch.zeros_like(mask)
+        
+        if feathering > 0 and feathering * 2 < H and feathering * 2 < W:
+
+            for i in range(H):
+                for j in range(W):
+                    dt = i if top != 0 else H
+                    db = H - i if bottom != 0 else H
+
+                    dl = j if left != 0 else W
+                    dr = W - j if right != 0 else W
+
+                    d = min(dt, db, dl, dr)
+
+                    if d >= feathering:
+                        continue
+
+                    v = (feathering - d) / feathering
+
+                    if mask is None:
+                        t[:, i, j] = v * v
+                    else:
+                        t[:, top + i, left + j] = v * v
+        
+        if mask is None:
+            new_mask[:, top:top + H, left:left + W] = t
+            return (new_image, new_mask,)
+        else:
+            return (new_image, mask,)
+
+class ImagePadForOutpaintTargetSize:
+    upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "target_width": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "target_height": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "feathering": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                "upscale_method": (s.upscale_methods,),
+            },
+            "optional": {
+                "mask": ("MASK",),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    FUNCTION = "expand_image"
+
+    CATEGORY = "image"
+
+    def expand_image(self, image, target_width, target_height, feathering, upscale_method, mask=None):
+        B, H, W, C = image.size()
+        new_height = 0
+        new_width = 0
+         # Calculate the scaling factor while maintaining aspect ratio
+        scaling_factor = min(target_width / W, target_height / H)
+        
+        # Check if the image needs to be downscaled
+        if scaling_factor < 1:
+            image = image.movedim(-1,1)
+            # Calculate the new width and height after downscaling
+            new_width = int(W * scaling_factor)
+            new_height = int(H * scaling_factor)
+            
+            # Downscale the image
+            image_scaled = common_upscale(image, new_width, new_height, upscale_method, "disabled").movedim(1,-1)
+            if mask is not None:
+                mask_scaled = mask.unsqueeze(0)  # Add an extra dimension for batch size
+                mask_scaled = F.interpolate(mask_scaled, size=(new_height, new_width), mode="nearest")
+                mask_scaled = mask_scaled.squeeze(0)  # Remove the extra dimension after interpolation
+            else:
+                mask_scaled = mask
+        else:
+            # If downscaling is not needed, use the original image dimensions
+            image_scaled = image
+            mask_scaled = mask
+
+        # Calculate how much padding is needed to reach the target dimensions
+        pad_top = max(0, (target_height - new_height) // 2)
+        pad_bottom = max(0, target_height - new_height - pad_top)
+        pad_left = max(0, (target_width - new_width) // 2)
+        pad_right = max(0, target_width - new_width - pad_left)
+
+        # Now call the original expand_image with the calculated padding
+        return ImagePadForOutpaintMasked.expand_image(self, image_scaled, pad_left, pad_top, pad_right, pad_bottom, feathering, mask_scaled)
+    
+class ImageAndMaskPreview(SaveImage):
+    def __init__(self):
+        self.output_dir = folder_paths.get_temp_directory()
+        self.type = "temp"
+        self.prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5))
+        self.compress_level = 4
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask_opacity": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                "mask_color": ("STRING", {"default": "255, 255, 255"}),
+                "pass_through": ("BOOLEAN", {"default": False}),
+             },
+            "optional": {
+                "image": ("IMAGE",),
+                "mask": ("MASK",),                
+            },
+            "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+        }
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("composite",)
+    FUNCTION = "execute"
+    CATEGORY = "KJNodes"
+    DESCRIPTION = """
+Preview an image or a mask, when both inputs are used  
+composites the mask on top of the image.
+with pass_through on the preview is disabled and the  
+composite is returned from the composite slot instead,  
+this allows for the preview to be passed for video combine  
+nodes for example.
+"""
+
+    def execute(self, mask_opacity, mask_color, pass_through, filename_prefix="ComfyUI", image=None, mask=None, prompt=None, extra_pnginfo=None):
+        if mask is not None and image is None:
+            preview = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])).movedim(1, -1).expand(-1, -1, -1, 3)
+        elif mask is None and image is not None:
+            preview = image
+        elif mask is not None and image is not None:
+            mask_adjusted = mask * mask_opacity
+            mask_image = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])).movedim(1, -1).expand(-1, -1, -1, 3).clone()
+
+            if ',' in mask_color:
+                color_list = np.clip([int(channel) for channel in mask_color.split(',')], 0, 255) # RGB format
+            else:
+                mask_color = mask_color.lstrip('#')
+                color_list = [int(mask_color[i:i+2], 16) for i in (0, 2, 4)] # Hex format
+            mask_image[:, :, :, 0] = color_list[0] / 255 # Red channel
+            mask_image[:, :, :, 1] = color_list[1] / 255 # Green channel
+            mask_image[:, :, :, 2] = color_list[2] / 255 # Blue channel
+            
+            preview, = ImageCompositeMasked.composite(self, image, mask_image, 0, 0, True, mask_adjusted)
+        if pass_through:
+            return (preview, )
+        return(self.save_images(preview, filename_prefix, prompt, extra_pnginfo))
+        
+class CrossFadeImages:
+    
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "crossfadeimages"
+    CATEGORY = "KJNodes/image"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "images_1": ("IMAGE",),
+                 "images_2": ("IMAGE",),
+                 "interpolation": (["linear", "ease_in", "ease_out", "ease_in_out", "bounce", "elastic", "glitchy", "exponential_ease_out"],),
+                 "transition_start_index": ("INT", {"default": 1,"min": 0, "max": 4096, "step": 1}),
+                 "transitioning_frames": ("INT", {"default": 1,"min": 0, "max": 4096, "step": 1}),
+                 "start_level": ("FLOAT", {"default": 0.0,"min": 0.0, "max": 1.0, "step": 0.01}),
+                 "end_level": ("FLOAT", {"default": 1.0,"min": 0.0, "max": 1.0, "step": 0.01}),
+        },
+    } 
+    
+    def crossfadeimages(self, images_1, images_2, transition_start_index, transitioning_frames, interpolation, start_level, end_level):
+
+        def crossfade(images_1, images_2, alpha):
+            crossfade = (1 - alpha) * images_1 + alpha * images_2
+            return crossfade
+        def ease_in(t):
+            return t * t
+        def ease_out(t):
+            return 1 - (1 - t) * (1 - t)
+        def ease_in_out(t):
+            return 3 * t * t - 2 * t * t * t
+        def bounce(t):
+            if t < 0.5:
+                return self.ease_out(t * 2) * 0.5
+            else:
+                return self.ease_in((t - 0.5) * 2) * 0.5 + 0.5
+        def elastic(t):
+            return math.sin(13 * math.pi / 2 * t) * math.pow(2, 10 * (t - 1))
+        def glitchy(t):
+            return t + 0.1 * math.sin(40 * t)
+        def exponential_ease_out(t):
+            return 1 - (1 - t) ** 4
+
+        easing_functions = {
+            "linear": lambda t: t,
+            "ease_in": ease_in,
+            "ease_out": ease_out,
+            "ease_in_out": ease_in_out,
+            "bounce": bounce,
+            "elastic": elastic,
+            "glitchy": glitchy,
+            "exponential_ease_out": exponential_ease_out,
+        }
+
+        crossfade_images = []
+
+        alphas = torch.linspace(start_level, end_level, transitioning_frames)
+        for i in range(transitioning_frames):
+            alpha = alphas[i]
+            image1 = images_1[i + transition_start_index]
+            image2 = images_2[i + transition_start_index]
+            easing_function = easing_functions.get(interpolation)
+            alpha = easing_function(alpha)  # Apply the easing function to the alpha value
+
+            crossfade_image = crossfade(image1, image2, alpha)
+            crossfade_images.append(crossfade_image)
+            
+        # Convert crossfade_images to tensor
+        crossfade_images = torch.stack(crossfade_images, dim=0)
+        # Get the last frame result of the interpolation
+        last_frame = crossfade_images[-1]
+        # Calculate the number of remaining frames from images_2
+        remaining_frames = len(images_2) - (transition_start_index + transitioning_frames)
+        # Crossfade the remaining frames with the last used alpha value
+        for i in range(remaining_frames):
+            alpha = alphas[-1]
+            image1 = images_1[i + transition_start_index + transitioning_frames]
+            image2 = images_2[i + transition_start_index + transitioning_frames]
+            easing_function = easing_functions.get(interpolation)
+            alpha = easing_function(alpha)  # Apply the easing function to the alpha value
+
+            crossfade_image = crossfade(image1, image2, alpha)
+            crossfade_images = torch.cat([crossfade_images, crossfade_image.unsqueeze(0)], dim=0)
+        # Append the beginning of images_1
+        beginning_images_1 = images_1[:transition_start_index]
+        crossfade_images = torch.cat([beginning_images_1, crossfade_images], dim=0)
+        return (crossfade_images, )
+
+class GetImageRangeFromBatch:
+    
+    RETURN_TYPES = ("IMAGE", "MASK", )
+    FUNCTION = "imagesfrombatch"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Creates a new batch using images from the input,  
+batch, starting from start_index.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "start_index": ("INT", {"default": 0,"min": -1, "max": 4096, "step": 1}),
+                 "num_frames": ("INT", {"default": 1,"min": 1, "max": 4096, "step": 1}),
+        },
+        "optional": {
+            "images": ("IMAGE",),
+            "masks": ("MASK",),
+        }
+    } 
+    
+    def imagesfrombatch(self, start_index, num_frames, images=None, masks=None):
+
+        chosen_images = None
+        chosen_masks = None
+
+        # Process images if provided
+        if images is not None:
+            if start_index == -1:
+                start_index = len(images) - num_frames
+            if start_index < 0 or start_index >= len(images):
+                raise ValueError("Start index is out of range")
+            end_index = start_index + num_frames
+            if end_index > len(images):
+                raise ValueError("End index is out of range")
+            chosen_images = images[start_index:end_index]
+
+        # Process masks if provided
+        if masks is not None:
+            if start_index == -1:
+                start_index = len(masks) - num_frames
+            if start_index < 0 or start_index >= len(masks):
+                raise ValueError("Start index is out of range for masks")
+            end_index = start_index + num_frames
+            if end_index > len(masks):
+                raise ValueError("End index is out of range for masks")
+            chosen_masks = masks[start_index:end_index]
+
+        return (chosen_images, chosen_masks,)
+    
+class GetImagesFromBatchIndexed:
+    
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "indexedimagesfrombatch"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Selects and returns the images at the specified indices as an image batch.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "images": ("IMAGE",),
+                 "indexes": ("STRING", {"default": "0, 1, 2", "multiline": True}),
+        },
+    } 
+    
+    def indexedimagesfrombatch(self, images, indexes):
+        
+        # Parse the indexes string into a list of integers
+        index_list = [int(index.strip()) for index in indexes.split(',')]
+        
+        # Convert list of indices to a PyTorch tensor
+        indices_tensor = torch.tensor(index_list, dtype=torch.long)
+        
+        # Select the images at the specified indices
+        chosen_images = images[indices_tensor]
+        
+        return (chosen_images,)
+
+class InsertImagesToBatchIndexed:
+    
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "insertimagesfrombatch"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Inserts images at the specified indices into the original image batch.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "original_images": ("IMAGE",),
+                "images_to_insert": ("IMAGE",),
+                "indexes": ("STRING", {"default": "0, 1, 2", "multiline": True}),
+            },
+        }
+    
+    def insertimagesfrombatch(self, original_images, images_to_insert, indexes):
+        
+        # Parse the indexes string into a list of integers
+        index_list = [int(index.strip()) for index in indexes.split(',')]
+        
+        # Convert list of indices to a PyTorch tensor
+        indices_tensor = torch.tensor(index_list, dtype=torch.long)
+        
+        # Ensure the images_to_insert is a tensor
+        if not isinstance(images_to_insert, torch.Tensor):
+            images_to_insert = torch.tensor(images_to_insert)
+        
+        # Insert the images at the specified indices
+        for index, image in zip(indices_tensor, images_to_insert):
+            original_images[index] = image
+        
+        return (original_images,)
+
+class ReplaceImagesInBatch:
+    
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "replace"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Replaces the images in a batch, starting from the specified start index,  
+with the replacement images.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "original_images": ("IMAGE",),
+                 "replacement_images": ("IMAGE",),
+                 "start_index": ("INT", {"default": 1,"min": 0, "max": 4096, "step": 1}),
+        },
+    } 
+    
+    def replace(self, original_images, replacement_images, start_index):
+        images = None
+        if start_index >= len(original_images):
+            raise ValueError("GetImageRangeFromBatch: Start index is out of range")
+        end_index = start_index + len(replacement_images)
+        if end_index > len(original_images):
+            raise ValueError("GetImageRangeFromBatch: End index is out of range")
+         # Create a copy of the original_images tensor
+        original_images_copy = original_images.clone()
+        original_images_copy[start_index:end_index] = replacement_images
+        images = original_images_copy
+        return (images, )
+    
+
+class ReverseImageBatch:
+    
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "reverseimagebatch"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Reverses the order of the images in a batch.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "images": ("IMAGE",),
+        },
+    } 
+    
+    def reverseimagebatch(self, images):
+        reversed_images = torch.flip(images, [0])
+        return (reversed_images, )
+
+class ImageBatchMulti:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "inputcount": ("INT", {"default": 2, "min": 2, "max": 1000, "step": 1}),
+                "image_1": ("IMAGE", ),
+                "image_2": ("IMAGE", ),
+            },
+    }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("images",)
+    FUNCTION = "combine"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Creates an image batch from multiple images.  
+You can set how many inputs the node has,  
+with the **inputcount** and clicking update.
+"""
+
+    def combine(self, inputcount, **kwargs):
+        from nodes import ImageBatch
+        image_batch_node = ImageBatch()
+        image = kwargs["image_1"]
+        for c in range(1, inputcount):
+            new_image = kwargs[f"image_{c + 1}"]
+            image, = image_batch_node.batch(image, new_image)
+        return (image,)
+
+class ImageAddMulti:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "inputcount": ("INT", {"default": 2, "min": 2, "max": 1000, "step": 1}),
+                "image_1": ("IMAGE", ),
+                "image_2": ("IMAGE", ),
+                "blending": (
+                [   'add',
+                    'subtract',
+                    'multiply',
+                    'difference',
+                ],
+                {
+                "default": 'add'
+                }),
+            },
+    }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("images",)
+    FUNCTION = "add"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Add blends multiple images together.    
+You can set how many inputs the node has,  
+with the **inputcount** and clicking update.
+"""
+
+    def add(self, inputcount, blending, **kwargs):
+        image = kwargs["image_1"]
+        for c in range(1, inputcount):
+            new_image = kwargs[f"image_{c + 1}"]
+            if blending == "add":
+                image = torch.add(image * 0.5, new_image * 0.5)
+            elif blending == "subtract":
+                image = torch.sub(image * 0.5, new_image * 0.5)
+            elif blending == "multiply":
+                image = torch.mul(image * 0.5, new_image * 0.5)
+            elif blending == "difference":
+                image = torch.sub(image, new_image)
+        return (image,)    
+
+class ImageConcatMulti:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "inputcount": ("INT", {"default": 2, "min": 2, "max": 1000, "step": 1}),
+                "image_1": ("IMAGE", ),
+                "image_2": ("IMAGE", ),
+                "direction": (
+                [   'right',
+                    'down',
+                    'left',
+                    'up',
+                ],
+            {
+            "default": 'right'
+             }),
+            "match_image_size": ("BOOLEAN", {"default": False}),
+            },
+    }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("images",)
+    FUNCTION = "combine"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Creates an image from multiple images.  
+You can set how many inputs the node has,  
+with the **inputcount** and clicking update.
+"""
+
+    def combine(self, inputcount, direction, match_image_size, **kwargs):
+        image = kwargs["image_1"]
+        first_image_shape = None
+        if first_image_shape is None:
+            first_image_shape = image.shape
+        for c in range(1, inputcount):
+            new_image = kwargs[f"image_{c + 1}"]
+            image, = ImageConcanate.concanate(self, image, new_image, direction, match_image_size, first_image_shape=first_image_shape)
+        first_image_shape = None
+        return (image,)
+
+class PreviewAnimation:
+    def __init__(self):
+        self.output_dir = folder_paths.get_temp_directory()
+        self.type = "temp"
+        self.prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5))
+        self.compress_level = 1
+
+    methods = {"default": 4, "fastest": 0, "slowest": 6}
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {
+                     "fps": ("FLOAT", {"default": 8.0, "min": 0.01, "max": 1000.0, "step": 0.01}),
+                     },
+                "optional": {
+                    "images": ("IMAGE", ),
+                    "masks": ("MASK", ),
+                },
+            }
+
+    RETURN_TYPES = ()
+    FUNCTION = "preview"
+    OUTPUT_NODE = True
+    CATEGORY = "KJNodes/image"
+
+    def preview(self, fps, images=None, masks=None):
+        filename_prefix = "AnimPreview"
+        full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
+        results = list()
+
+        pil_images = []
+
+        if images is not None and masks is not None:
+            for image in images:
+                i = 255. * image.cpu().numpy()
+                img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+                pil_images.append(img)
+            for mask in masks:
+                if pil_images: 
+                    mask_np = mask.cpu().numpy()
+                    mask_np = np.clip(mask_np * 255, 0, 255).astype(np.uint8)  # Convert to values between 0 and 255
+                    mask_img = Image.fromarray(mask_np, mode='L')
+                    img = pil_images.pop(0)  # Remove and get the first image
+                    img = img.convert("RGBA")  # Convert base image to RGBA
+
+                    # Create a new RGBA image based on the grayscale mask
+                    rgba_mask_img = Image.new("RGBA", img.size, (255, 255, 255, 255))
+                    rgba_mask_img.putalpha(mask_img)  # Use the mask image as the alpha channel
+
+                    # Composite the RGBA mask onto the base image
+                    composited_img = Image.alpha_composite(img, rgba_mask_img)
+                    pil_images.append(composited_img)  # Add the composited image back
+
+        elif images is not None and masks is None:
+            for image in images:
+                i = 255. * image.cpu().numpy()
+                img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+                pil_images.append(img)
+
+        elif masks is not None and images is None:
+            for mask in masks:
+                mask_np = 255. * mask.cpu().numpy()
+                mask_img = Image.fromarray(np.clip(mask_np, 0, 255).astype(np.uint8))
+                pil_images.append(mask_img)
+        else:
+            print("PreviewAnimation: No images or masks provided")
+            return { "ui": { "images": results, "animated": (None,), "text": "empty" }}
+
+        num_frames = len(pil_images)
+
+        c = len(pil_images)
+        for i in range(0, c, num_frames):
+            file = f"{filename}_{counter:05}_.webp"
+            pil_images[i].save(os.path.join(full_output_folder, file), save_all=True, duration=int(1000.0/fps), append_images=pil_images[i + 1:i + num_frames], lossless=False, quality=80, method=4)
+            results.append({
+                "filename": file,
+                "subfolder": subfolder,
+                "type": self.type
+            })
+            counter += 1
+
+        animated = num_frames != 1
+        return { "ui": { "images": results, "animated": (animated,), "text": [f"{num_frames}x{pil_images[0].size[0]}x{pil_images[0].size[1]}"] } }
+    
+class ImageResizeKJ:
+    upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "width": ("INT", { "default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 8, }),
+                "height": ("INT", { "default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 8, }),
+                "upscale_method": (s.upscale_methods,),
+                "keep_proportion": ("BOOLEAN", { "default": False }),
+                "divisible_by": ("INT", { "default": 2, "min": 0, "max": 512, "step": 1, }),
+            },
+            "optional" : {
+                "width_input": ("INT", { "forceInput": True}),
+                "height_input": ("INT", { "forceInput": True}),
+                "get_image_size": ("IMAGE",),
+                "crop": (["disabled","center"],),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "INT", "INT",)
+    RETURN_NAMES = ("IMAGE", "width", "height",)
+    FUNCTION = "resize"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Resizes the image to the specified width and height.  
+Size can be retrieved from the inputs, and the final scale  
+is  determined in this order of importance:  
+- get_image_size  
+- width_input and height_input  
+- width and height widgets  
+  
+Keep proportions keeps the aspect ratio of the image, by  
+highest dimension.  
+"""
+
+    def resize(self, image, width, height, keep_proportion, upscale_method, divisible_by, 
+               width_input=None, height_input=None, get_image_size=None, crop="disabled"):
+        B, H, W, C = image.shape
+
+        if width_input:
+            width = width_input
+        if height_input:
+            height = height_input
+        if get_image_size is not None:
+            _, height, width, _ = get_image_size.shape
+        
+        if keep_proportion and get_image_size is None:
+                # If one of the dimensions is zero, calculate it to maintain the aspect ratio
+                if width == 0 and height != 0:
+                    ratio = height / H
+                    width = round(W * ratio)
+                elif height == 0 and width != 0:
+                    ratio = width / W
+                    height = round(H * ratio)
+                elif width != 0 and height != 0:
+                    # Scale based on which dimension is smaller in proportion to the desired dimensions
+                    ratio = min(width / W, height / H)
+                    width = round(W * ratio)
+                    height = round(H * ratio)
+        else:
+            if width == 0:
+                width = W
+            if height == 0:
+                height = H
+      
+        if divisible_by > 1 and get_image_size is None:
+            width = width - (width % divisible_by)
+            height = height - (height % divisible_by)
+        
+        image = image.movedim(-1,1)
+        image = common_upscale(image, width, height, upscale_method, crop)
+        image = image.movedim(1,-1)
+
+        return(image, image.shape[2], image.shape[1],)
+    
+class LoadAndResizeImage:
+    _color_channels = ["alpha", "red", "green", "blue"]
+    @classmethod
+    def INPUT_TYPES(s):
+        input_dir = folder_paths.get_input_directory()
+        files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]
+        return {"required":
+                    {
+                    "image": (sorted(files), {"image_upload": True}),
+                    "resize": ("BOOLEAN", { "default": False }),
+                    "width": ("INT", { "default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 8, }),
+                    "height": ("INT", { "default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 8, }),
+                    "repeat": ("INT", { "default": 1, "min": 1, "max": 4096, "step": 1, }),
+                    "keep_proportion": ("BOOLEAN", { "default": False }),
+                    "divisible_by": ("INT", { "default": 2, "min": 0, "max": 512, "step": 1, }),
+                    "mask_channel": (s._color_channels, {"tooltip": "Channel to use for the mask output"}), 
+                    "background_color": ("STRING", { "default": "", "tooltip": "Fills the alpha channel with the specified color."}),
+                    },
+                }
+
+    CATEGORY = "KJNodes/image"
+    RETURN_TYPES = ("IMAGE", "MASK", "INT", "INT", "STRING",)
+    RETURN_NAMES = ("image", "mask", "width", "height","image_path",)
+    FUNCTION = "load_image"
+
+    def load_image(self, image, resize, width, height, repeat, keep_proportion, divisible_by, mask_channel, background_color):
+        from PIL import ImageColor, Image, ImageOps, ImageSequence
+        import numpy as np
+        import torch
+        image_path = folder_paths.get_annotated_filepath(image)
+
+        import node_helpers
+        img = node_helpers.pillow(Image.open, image_path)
+
+        # Process the background_color
+        if background_color:
+            try:
+                # Try to parse as RGB tuple
+                bg_color_rgba = tuple(int(x.strip()) for x in background_color.split(','))
+            except ValueError:
+                # If parsing fails, it might be a hex color or named color
+                if background_color.startswith('#') or background_color.lower() in ImageColor.colormap:
+                    bg_color_rgba = ImageColor.getrgb(background_color)
+                else:
+                    raise ValueError(f"Invalid background color: {background_color}")
+
+            bg_color_rgba += (255,)  # Add alpha channel
+        else:
+            bg_color_rgba = None  # No background color specified
+        
+        output_images = []
+        output_masks = []
+        w, h = None, None
+
+        excluded_formats = ['MPO']
+
+        W, H = img.size
+        if resize:
+            if keep_proportion:
+                ratio = min(width / W, height / H)
+                width = round(W * ratio)
+                height = round(H * ratio)
+            else:
+                if width == 0:
+                    width = W
+                if height == 0:
+                    height = H
+
+            if divisible_by > 1:
+                width = width - (width % divisible_by)
+                height = height - (height % divisible_by)
+        else:
+            width, height = W, H
+
+        for frame in ImageSequence.Iterator(img):
+            frame = node_helpers.pillow(ImageOps.exif_transpose, frame)
+
+            if frame.mode == 'I':
+                frame = frame.point(lambda i: i * (1 / 255))
+            
+            if frame.mode == 'P':
+                frame = frame.convert("RGBA")
+            elif 'A' in frame.getbands():
+                frame = frame.convert("RGBA")
+            
+            # Extract alpha channel if it exists
+            if 'A' in frame.getbands() and bg_color_rgba:
+                alpha_mask = np.array(frame.getchannel('A')).astype(np.float32) / 255.0
+                alpha_mask = 1. - torch.from_numpy(alpha_mask)
+                bg_image = Image.new("RGBA", frame.size, bg_color_rgba)
+                # Composite the frame onto the background
+                frame = Image.alpha_composite(bg_image, frame)
+            else:
+                alpha_mask = torch.zeros((64, 64), dtype=torch.float32, device="cpu")
+            
+            image = frame.convert("RGB")
+
+            if len(output_images) == 0:
+                w = image.size[0]
+                h = image.size[1]
+            
+            if image.size[0] != w or image.size[1] != h:
+                continue
+            if resize:
+                image = image.resize((width, height), Image.Resampling.BILINEAR)
+
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            
+            c = mask_channel[0].upper()
+            if c in frame.getbands():
+                if resize:
+                    frame = frame.resize((width, height), Image.Resampling.BILINEAR)
+                mask = np.array(frame.getchannel(c)).astype(np.float32) / 255.0
+                mask = torch.from_numpy(mask)
+                if c == 'A' and bg_color_rgba:
+                    mask = alpha_mask
+                elif c == 'A':
+                    mask = 1. - mask
+            else:
+                mask = torch.zeros((64, 64), dtype=torch.float32, device="cpu")
+
+            output_images.append(image)
+            output_masks.append(mask.unsqueeze(0))
+
+        if len(output_images) > 1 and img.format not in excluded_formats:
+            output_image = torch.cat(output_images, dim=0)
+            output_mask = torch.cat(output_masks, dim=0)
+        else:
+            output_image = output_images[0]
+            output_mask = output_masks[0]
+            if repeat > 1:
+                output_image = output_image.repeat(repeat, 1, 1, 1)
+                output_mask = output_mask.repeat(repeat, 1, 1)
+
+        return (output_image, output_mask, width, height, image_path)
+        
+
+    @classmethod
+    def IS_CHANGED(s, image, **kwargs):
+        image_path = folder_paths.get_annotated_filepath(image)
+        m = hashlib.sha256()
+        with open(image_path, 'rb') as f:
+            m.update(f.read())
+        return m.digest().hex()
+
+    @classmethod
+    def VALIDATE_INPUTS(s, image):
+        if not folder_paths.exists_annotated_filepath(image):
+            return "Invalid image file: {}".format(image)
+
+        return True
+
+class LoadImagesFromFolderKJ:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "folder": ("STRING", {"default": ""}),
+            },
+            "optional": {
+                "image_load_cap": ("INT", {"default": 0, "min": 0, "step": 1}),
+                "start_index": ("INT", {"default": 0, "min": 0, "step": 1}),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK", "INT", "STRING",)
+    RETURN_NAMES = ("image", "mask", "count", "image_path",)
+    FUNCTION = "load_images"
+
+    CATEGORY = "image"
+
+    def load_images(self, folder, image_load_cap, start_index):
+        if not os.path.isdir(folder):
+            raise FileNotFoundError(f"Folder '{folder} cannot be found.'")
+        dir_files = os.listdir(folder)
+        if len(dir_files) == 0:
+            raise FileNotFoundError(f"No files in directory '{folder}'.")
+
+        # Filter files by extension
+        valid_extensions = ['.jpg', '.jpeg', '.png', '.webp']
+        dir_files = [f for f in dir_files if any(f.lower().endswith(ext) for ext in valid_extensions)]
+
+        dir_files = sorted(dir_files)
+        dir_files = [os.path.join(folder, x) for x in dir_files]
+
+        # start at start_index
+        dir_files = dir_files[start_index:]
+
+        images = []
+        masks = []
+        image_path_list = []
+
+        limit_images = False
+        if image_load_cap > 0:
+            limit_images = True
+        image_count = 0
+
+        has_non_empty_mask = False
+
+        for image_path in dir_files:
+            if os.path.isdir(image_path) and os.path.ex:
+                continue
+            if limit_images and image_count >= image_load_cap:
+                break
+            i = Image.open(image_path)
+            i = ImageOps.exif_transpose(i)
+            image = i.convert("RGB")
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            if 'A' in i.getbands():
+                mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
+                mask = 1. - torch.from_numpy(mask)
+                has_non_empty_mask = True
+            else:
+                mask = torch.zeros((64, 64), dtype=torch.float32, device="cpu")
+            images.append(image)
+            masks.append(mask)
+            image_path_list.append(image_path)
+            image_count += 1
+
+        if len(images) == 1:
+            return (images[0], masks[0], 1)
+
+        elif len(images) > 1:
+            image1 = images[0]
+            mask1 = None
+
+            for image2 in images[1:]:
+                if image1.shape[1:] != image2.shape[1:]:
+                    image2 = common_upscale(image2.movedim(-1, 1), image1.shape[2], image1.shape[1], "bilinear", "center").movedim(1, -1)
+                image1 = torch.cat((image1, image2), dim=0)
+
+            for mask2 in masks[1:]:
+                if has_non_empty_mask:
+                    if image1.shape[1:3] != mask2.shape:
+                        mask2 = torch.nn.functional.interpolate(mask2.unsqueeze(0).unsqueeze(0), size=(image1.shape[2], image1.shape[1]), mode='bilinear', align_corners=False)
+                        mask2 = mask2.squeeze(0)
+                    else:
+                        mask2 = mask2.unsqueeze(0)
+                else:
+                    mask2 = mask2.unsqueeze(0)
+
+                if mask1 is None:
+                    mask1 = mask2
+                else:
+                    mask1 = torch.cat((mask1, mask2), dim=0)
+
+            return (image1, mask1, len(images), image_path_list)
+
+class ImageGridtoBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                    "image": ("IMAGE", ),
+                    "columns": ("INT", {"default": 3, "min": 2, "max": 8, "tooltip": "The number of columns in the grid."}),
+                    }
+                }
+    
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "decompose"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = "Converts a grid of images to a batch of images."
+        
+    def decompose(self, image, columns):
+       B, H, W, C = image.shape
+       orig_h = H // columns
+       orig_w = W // columns
+       
+       # Reshape and permute the image to get the grid
+       image = image.view(B, columns, orig_h, columns, orig_w, C)
+       image = image.permute(0, 1, 3, 2, 4, 5).contiguous()
+       image = image.view(B, columns * columns, orig_h, orig_w, C)
+       
+       # Reshape to the final batch tensor
+       img_tensor = image.view(-1, orig_h, orig_w, C)
+       
+       return img_tensor,
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/intrinsic_lora_nodes.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/intrinsic_lora_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..c8f125363836cc7721b4b61d100702594522d389
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/intrinsic_lora_nodes.py
@@ -0,0 +1,115 @@
+import folder_paths
+import os
+import torch
+import torch.nn.functional as F
+from comfy.utils import ProgressBar, load_torch_file
+import comfy.sample
+from nodes import CLIPTextEncode
+
+script_directory = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+folder_paths.add_model_folder_path("intrinsic_loras", os.path.join(script_directory, "intrinsic_loras"))
+
+class Intrinsic_lora_sampling:
+    def __init__(self):
+        self.loaded_lora = None
+        
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                "lora_name": (folder_paths.get_filename_list("intrinsic_loras"), ),
+                "task": (
+                [   
+                    'depth map',
+                    'surface normals',
+                    'albedo',
+                    'shading',
+                ],
+                {
+                "default": 'depth map'
+                    }),
+                "text": ("STRING", {"multiline": True, "default": ""}),
+                "clip": ("CLIP", ),
+                "vae": ("VAE", ),
+                "per_batch": ("INT", {"default": 16, "min": 1, "max": 4096, "step": 1}),
+        },
+            "optional": {
+            "image": ("IMAGE",),
+            "optional_latent": ("LATENT",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE", "LATENT",)
+    FUNCTION = "onestepsample"
+    CATEGORY = "KJNodes"
+    DESCRIPTION = """
+Sampler to use the intrinsic loras:  
+https://github.com/duxiaodan/intrinsic-lora  
+These LoRAs are tiny and thus included  
+with this node pack.
+"""
+
+    def onestepsample(self, model, lora_name, clip, vae, text, task, per_batch, image=None, optional_latent=None):
+        pbar = ProgressBar(3)
+
+        if optional_latent is None:
+            image_list = []
+            for start_idx in range(0, image.shape[0], per_batch):
+                sub_pixels = vae.vae_encode_crop_pixels(image[start_idx:start_idx+per_batch])
+                image_list.append(vae.encode(sub_pixels[:,:,:,:3]))
+            sample = torch.cat(image_list, dim=0)
+        else:
+            sample = optional_latent["samples"]
+        noise = torch.zeros(sample.size(), dtype=sample.dtype, layout=sample.layout, device="cpu")
+        prompt = task + "," + text
+        positive, = CLIPTextEncode.encode(self, clip, prompt)
+        negative = positive #negative shouldn't do anything in this scenario
+
+        pbar.update(1)
+     
+        #custom model sampling to pass latent through as it is
+        class X0_PassThrough(comfy.model_sampling.EPS):
+            def calculate_denoised(self, sigma, model_output, model_input):
+                return model_output
+            def calculate_input(self, sigma, noise):
+                return noise
+        sampling_base = comfy.model_sampling.ModelSamplingDiscrete
+        sampling_type = X0_PassThrough
+
+        class ModelSamplingAdvanced(sampling_base, sampling_type):
+            pass
+        model_sampling = ModelSamplingAdvanced(model.model.model_config)
+
+        #load lora
+        model_clone = model.clone()
+        lora_path = folder_paths.get_full_path("intrinsic_loras", lora_name)        
+        lora = load_torch_file(lora_path, safe_load=True)
+        self.loaded_lora = (lora_path, lora)
+
+        model_clone_with_lora = comfy.sd.load_lora_for_models(model_clone, None, lora, 1.0, 0)[0]
+
+        model_clone_with_lora.add_object_patch("model_sampling", model_sampling)
+
+        samples = {"samples": comfy.sample.sample(model_clone_with_lora, noise, 1, 1.0, "euler", "simple", positive, negative, sample,
+                                  denoise=1.0, disable_noise=True, start_step=0, last_step=1,
+                                  force_full_denoise=True, noise_mask=None, callback=None, disable_pbar=True, seed=None)}
+        pbar.update(1)
+
+        decoded = []
+        for start_idx in range(0, samples["samples"].shape[0], per_batch):
+            decoded.append(vae.decode(samples["samples"][start_idx:start_idx+per_batch]))
+        image_out = torch.cat(decoded, dim=0)
+
+        pbar.update(1)
+
+        if task == 'depth map':
+            imax = image_out.max()
+            imin = image_out.min()
+            image_out = (image_out-imin)/(imax-imin)
+            image_out = torch.max(image_out, dim=3, keepdim=True)[0].repeat(1, 1, 1, 3)
+        elif task == 'surface normals':
+            image_out = F.normalize(image_out * 2 - 1, dim=3) / 2 + 0.5
+            image_out = 1.0 - image_out
+        else:
+            image_out = image_out.clamp(-1.,1.)
+            
+        return (image_out, samples,)
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/mask_nodes.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/mask_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..239e6a8c440c6cbeb2d71f8c330aa3ef78d4ffcf
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/mask_nodes.py
@@ -0,0 +1,1249 @@
+import torch
+import torch.nn.functional as F
+from torchvision.transforms import functional as TF
+from PIL import Image, ImageDraw, ImageFilter, ImageFont
+import scipy.ndimage
+import numpy as np
+from contextlib import nullcontext
+import os
+
+import model_management
+from comfy.utils import ProgressBar
+from nodes import MAX_RESOLUTION
+
+import folder_paths
+
+from ..utility.utility import tensor2pil, pil2tensor
+
+script_directory = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+
+class BatchCLIPSeg:
+
+    def __init__(self):
+        pass
+    
+    @classmethod
+    def INPUT_TYPES(s):
+       
+        return {"required":
+                    {
+                        "images": ("IMAGE",),
+                        "text": ("STRING", {"multiline": False}),
+                        "threshold": ("FLOAT", {"default": 0.5,"min": 0.0, "max": 10.0, "step": 0.001}),
+                        "binary_mask": ("BOOLEAN", {"default": True}),
+                        "combine_mask": ("BOOLEAN", {"default": False}),
+                        "use_cuda": ("BOOLEAN", {"default": True}),
+                     },
+                     "optional":
+                    {
+                        "blur_sigma": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step": 0.1}),
+                        "opt_model": ("CLIPSEGMODEL", ),
+                        "prev_mask": ("MASK", {"default": None}),
+                        "image_bg_level": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
+                        "invert": ("BOOLEAN", {"default": False}),
+                    }
+                }
+
+    CATEGORY = "KJNodes/masking"
+    RETURN_TYPES = ("MASK", "IMAGE", )
+    RETURN_NAMES = ("Mask", "Image", )
+    FUNCTION = "segment_image"
+    DESCRIPTION = """
+Segments an image or batch of images using CLIPSeg.
+"""
+
+    def segment_image(self, images, text, threshold, binary_mask, combine_mask, use_cuda, blur_sigma=0.0, opt_model=None, prev_mask=None, invert= False, image_bg_level=0.5):
+        from transformers import CLIPSegProcessor, CLIPSegForImageSegmentation
+        import torchvision.transforms as transforms
+        offload_device = model_management.unet_offload_device()
+        device = model_management.get_torch_device()
+        if not use_cuda:
+            device = torch.device("cpu")
+        dtype = model_management.unet_dtype()
+
+        if opt_model is None:
+            checkpoint_path = os.path.join(folder_paths.models_dir,'clip_seg', 'clipseg-rd64-refined-fp16')
+            if not hasattr(self, "model"):
+                try:
+                    if not os.path.exists(checkpoint_path):
+                        from huggingface_hub import snapshot_download
+                        snapshot_download(repo_id="Kijai/clipseg-rd64-refined-fp16", local_dir=checkpoint_path, local_dir_use_symlinks=False)
+                    self.model = CLIPSegForImageSegmentation.from_pretrained(checkpoint_path)
+                except:
+                    checkpoint_path = "CIDAS/clipseg-rd64-refined"
+                    self.model = CLIPSegForImageSegmentation.from_pretrained(checkpoint_path)
+            processor = CLIPSegProcessor.from_pretrained(checkpoint_path)
+
+        else:
+            self.model = opt_model['model']
+            processor = opt_model['processor']
+
+        self.model.to(dtype).to(device)
+
+        B, H, W, C = images.shape
+        images = images.to(device)
+        
+        autocast_condition = (dtype != torch.float32) and not model_management.is_device_mps(device)
+        with torch.autocast(model_management.get_autocast_device(device), dtype=dtype) if autocast_condition else nullcontext():
+
+            PIL_images = [Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) for image in images ]
+            prompt = [text] * len(images)
+            input_prc = processor(text=prompt, images=PIL_images, return_tensors="pt")
+
+            for key in input_prc:
+                input_prc[key] = input_prc[key].to(device)
+            outputs = self.model(**input_prc)
+
+        mask_tensor = torch.sigmoid(outputs.logits)
+        mask_tensor = (mask_tensor - mask_tensor.min()) / (mask_tensor.max() - mask_tensor.min())
+        mask_tensor = torch.where(mask_tensor > (threshold), mask_tensor, torch.tensor(0, dtype=torch.float))
+        print(mask_tensor.shape)
+        if len(mask_tensor.shape) == 2:
+            mask_tensor = mask_tensor.unsqueeze(0)
+        mask_tensor = F.interpolate(mask_tensor.unsqueeze(1), size=(H, W), mode='nearest')
+        mask_tensor = mask_tensor.squeeze(1)
+
+        self.model.to(offload_device)
+        
+        if binary_mask:
+            mask_tensor = (mask_tensor > 0).float()
+        if blur_sigma > 0:
+            kernel_size = int(6 * int(blur_sigma) + 1) 
+            blur = transforms.GaussianBlur(kernel_size=(kernel_size, kernel_size), sigma=(blur_sigma, blur_sigma))
+            mask_tensor = blur(mask_tensor)
+
+        if combine_mask:
+            mask_tensor = torch.max(mask_tensor, dim=0)[0]
+            mask_tensor = mask_tensor.unsqueeze(0).repeat(len(images),1,1)
+
+        del outputs
+        model_management.soft_empty_cache()
+
+        if prev_mask is not None:
+            if prev_mask.shape != mask_tensor.shape:
+                prev_mask = F.interpolate(prev_mask.unsqueeze(1), size=(H, W), mode='nearest')
+            mask_tensor = mask_tensor + prev_mask.to(device)
+            torch.clamp(mask_tensor, min=0.0, max=1.0)
+
+        if invert:
+            mask_tensor = 1 - mask_tensor
+
+        image_tensor = images * mask_tensor.unsqueeze(-1) + (1 - mask_tensor.unsqueeze(-1)) * image_bg_level
+        image_tensor = torch.clamp(image_tensor, min=0.0, max=1.0).cpu().float()
+
+        mask_tensor = mask_tensor.cpu().float()
+    
+        return mask_tensor, image_tensor, 
+
+class DownloadAndLoadCLIPSeg:
+
+    def __init__(self):
+        pass
+    
+    @classmethod
+    def INPUT_TYPES(s):
+       
+        return {"required":
+                    {     
+                    "model": (
+                    [   'Kijai/clipseg-rd64-refined-fp16',
+                        'CIDAS/clipseg-rd64-refined',
+                    ],
+                    ),
+                     },
+                }
+
+    CATEGORY = "KJNodes/masking"
+    RETURN_TYPES = ("CLIPSEGMODEL",)
+    RETURN_NAMES = ("clipseg_model",)
+    FUNCTION = "segment_image"
+    DESCRIPTION = """
+Downloads and loads CLIPSeg model with huggingface_hub,  
+to ComfyUI/models/clip_seg
+"""
+
+    def segment_image(self, model):
+        from transformers import CLIPSegProcessor, CLIPSegForImageSegmentation
+        checkpoint_path = os.path.join(folder_paths.models_dir,'clip_seg', os.path.basename(model))
+        if not hasattr(self, "model"):
+            if not os.path.exists(checkpoint_path):
+                from huggingface_hub import snapshot_download
+                snapshot_download(repo_id=model, local_dir=checkpoint_path, local_dir_use_symlinks=False)
+            self.model = CLIPSegForImageSegmentation.from_pretrained(checkpoint_path)
+
+        processor = CLIPSegProcessor.from_pretrained(checkpoint_path)
+
+        clipseg_model = {}
+        clipseg_model['model'] = self.model
+        clipseg_model['processor'] = processor
+
+        return clipseg_model,
+
+class CreateTextMask:
+
+    RETURN_TYPES = ("IMAGE", "MASK",)
+    FUNCTION = "createtextmask"
+    CATEGORY = "KJNodes/text"
+    DESCRIPTION = """
+Creates a text image and mask.  
+Looks for fonts from this folder:  
+ComfyUI/custom_nodes/ComfyUI-KJNodes/fonts
+  
+If start_rotation and/or end_rotation are different values,  
+creates animation between them.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "invert": ("BOOLEAN", {"default": False}),
+                 "frames": ("INT", {"default": 1,"min": 1, "max": 4096, "step": 1}),
+                 "text_x": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
+                 "text_y": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
+                 "font_size": ("INT", {"default": 32,"min": 8, "max": 4096, "step": 1}),
+                 "font_color": ("STRING", {"default": "white"}),
+                 "text": ("STRING", {"default": "HELLO!", "multiline": True}),
+                 "font": (folder_paths.get_filename_list("kjnodes_fonts"), ),
+                 "width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                 "height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                 "start_rotation": ("INT", {"default": 0,"min": 0, "max": 359, "step": 1}),
+                 "end_rotation": ("INT", {"default": 0,"min": -359, "max": 359, "step": 1}),
+        },
+    } 
+
+    def createtextmask(self, frames, width, height, invert, text_x, text_y, text, font_size, font_color, font, start_rotation, end_rotation):
+    # Define the number of images in the batch
+        batch_size = frames
+        out = []
+        masks = []
+        rotation = start_rotation
+        if start_rotation != end_rotation:
+            rotation_increment = (end_rotation - start_rotation) / (batch_size - 1)
+
+        font_path = folder_paths.get_full_path("kjnodes_fonts", font)
+        # Generate the text
+        for i in range(batch_size):
+            image = Image.new("RGB", (width, height), "black")
+            draw = ImageDraw.Draw(image)
+            font = ImageFont.truetype(font_path, font_size)
+            
+            # Split the text into words
+            words = text.split()
+            
+            # Initialize variables for line creation
+            lines = []
+            current_line = []
+            current_line_width = 0
+            try: #new pillow  
+                # Iterate through words to create lines
+                for word in words:
+                    word_width = font.getbbox(word)[2]
+                    if current_line_width + word_width <= width - 2 * text_x:
+                        current_line.append(word)
+                        current_line_width += word_width + font.getbbox(" ")[2] # Add space width
+                    else:
+                        lines.append(" ".join(current_line))
+                        current_line = [word]
+                        current_line_width = word_width
+            except: #old pillow             
+                for word in words:
+                    word_width = font.getsize(word)[0]
+                    if current_line_width + word_width <= width - 2 * text_x:
+                        current_line.append(word)
+                        current_line_width += word_width + font.getsize(" ")[0] # Add space width
+                    else:
+                        lines.append(" ".join(current_line))
+                        current_line = [word]
+                        current_line_width = word_width
+            
+            # Add the last line if it's not empty
+            if current_line:
+                lines.append(" ".join(current_line))
+            
+            # Draw each line of text separately
+            y_offset = text_y
+            for line in lines:
+                text_width = font.getlength(line)
+                text_height = font_size
+                text_center_x = text_x + text_width / 2
+                text_center_y = y_offset + text_height / 2
+                try:
+                    draw.text((text_x, y_offset), line, font=font, fill=font_color, features=['-liga'])
+                except:
+                    draw.text((text_x, y_offset), line, font=font, fill=font_color)
+                y_offset += text_height # Move to the next line
+            
+            if start_rotation != end_rotation:
+                image = image.rotate(rotation, center=(text_center_x, text_center_y))
+                rotation += rotation_increment
+            
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            mask = image[:, :, :, 0] 
+            masks.append(mask)
+            out.append(image)
+            
+        if invert:
+            return (1.0 - torch.cat(out, dim=0), 1.0 - torch.cat(masks, dim=0),)
+        return (torch.cat(out, dim=0),torch.cat(masks, dim=0),)
+
+class ColorToMask:
+    
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "clip"
+    CATEGORY = "KJNodes/masking"
+    DESCRIPTION = """
+Converts chosen RGB value to a mask.  
+With batch inputs, the **per_batch**  
+controls the number of images processed at once.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "images": ("IMAGE",),
+                 "invert": ("BOOLEAN", {"default": False}),
+                 "red": ("INT", {"default": 0,"min": 0, "max": 255, "step": 1}),
+                 "green": ("INT", {"default": 0,"min": 0, "max": 255, "step": 1}),
+                 "blue": ("INT", {"default": 0,"min": 0, "max": 255, "step": 1}),
+                 "threshold": ("INT", {"default": 10,"min": 0, "max": 255, "step": 1}),
+                 "per_batch": ("INT", {"default": 16, "min": 1, "max": 4096, "step": 1}),
+        },
+    } 
+
+    def clip(self, images, red, green, blue, threshold, invert, per_batch):
+
+        color = torch.tensor([red, green, blue], dtype=torch.uint8)  
+        black = torch.tensor([0, 0, 0], dtype=torch.uint8)
+        white = torch.tensor([255, 255, 255], dtype=torch.uint8)
+        
+        if invert:
+            black, white = white, black
+
+        steps = images.shape[0]
+        pbar = ProgressBar(steps)
+        tensors_out = []
+        
+        for start_idx in range(0, images.shape[0], per_batch):
+
+            # Calculate color distances
+            color_distances = torch.norm(images[start_idx:start_idx+per_batch] * 255 - color, dim=-1)
+            
+            # Create a mask based on the threshold
+            mask = color_distances <= threshold
+            
+            # Apply the mask to create new images
+            mask_out = torch.where(mask.unsqueeze(-1), white, black).float()
+            mask_out = mask_out.mean(dim=-1)
+
+            tensors_out.append(mask_out.cpu())
+            batch_count = mask_out.shape[0]
+            pbar.update(batch_count)
+       
+        tensors_out = torch.cat(tensors_out, dim=0)
+        tensors_out = torch.clamp(tensors_out, min=0.0, max=1.0)
+        return tensors_out,
+      
+class CreateFluidMask:
+    
+    RETURN_TYPES = ("IMAGE", "MASK")
+    FUNCTION = "createfluidmask"
+    CATEGORY = "KJNodes/masking/generate"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "invert": ("BOOLEAN", {"default": False}),
+                 "frames": ("INT", {"default": 1,"min": 1, "max": 4096, "step": 1}),
+                 "width": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}),
+                 "height": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}),
+                 "inflow_count": ("INT", {"default": 3,"min": 0, "max": 255, "step": 1}),
+                 "inflow_velocity": ("INT", {"default": 1,"min": 0, "max": 255, "step": 1}),
+                 "inflow_radius": ("INT", {"default": 8,"min": 0, "max": 255, "step": 1}),
+                 "inflow_padding": ("INT", {"default": 50,"min": 0, "max": 255, "step": 1}),
+                 "inflow_duration": ("INT", {"default": 60,"min": 0, "max": 255, "step": 1}),
+        },
+    } 
+    #using code from https://github.com/GregTJ/stable-fluids
+    def createfluidmask(self, frames, width, height, invert, inflow_count, inflow_velocity, inflow_radius, inflow_padding, inflow_duration):
+        from ..utility.fluid import Fluid
+        try:
+            from scipy.special import erf
+        except:
+            from scipy.spatial import erf
+        out = []
+        masks = []
+        RESOLUTION = width, height
+        DURATION = frames
+
+        INFLOW_PADDING = inflow_padding
+        INFLOW_DURATION = inflow_duration
+        INFLOW_RADIUS = inflow_radius
+        INFLOW_VELOCITY = inflow_velocity
+        INFLOW_COUNT = inflow_count
+
+        print('Generating fluid solver, this may take some time.')
+        fluid = Fluid(RESOLUTION, 'dye')
+
+        center = np.floor_divide(RESOLUTION, 2)
+        r = np.min(center) - INFLOW_PADDING
+
+        points = np.linspace(-np.pi, np.pi, INFLOW_COUNT, endpoint=False)
+        points = tuple(np.array((np.cos(p), np.sin(p))) for p in points)
+        normals = tuple(-p for p in points)
+        points = tuple(r * p + center for p in points)
+
+        inflow_velocity = np.zeros_like(fluid.velocity)
+        inflow_dye = np.zeros(fluid.shape)
+        for p, n in zip(points, normals):
+            mask = np.linalg.norm(fluid.indices - p[:, None, None], axis=0) <= INFLOW_RADIUS
+            inflow_velocity[:, mask] += n[:, None] * INFLOW_VELOCITY
+            inflow_dye[mask] = 1
+
+        
+        for f in range(DURATION):
+            print(f'Computing frame {f + 1} of {DURATION}.')
+            if f <= INFLOW_DURATION:
+                fluid.velocity += inflow_velocity
+                fluid.dye += inflow_dye
+
+            curl = fluid.step()[1]
+            # Using the error function to make the contrast a bit higher. 
+            # Any other sigmoid function e.g. smoothstep would work.
+            curl = (erf(curl * 2) + 1) / 4
+
+            color = np.dstack((curl, np.ones(fluid.shape), fluid.dye))
+            color = (np.clip(color, 0, 1) * 255).astype('uint8')
+            image = np.array(color).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            mask = image[:, :, :, 0] 
+            masks.append(mask)
+            out.append(image)
+        
+        if invert:
+            return (1.0 - torch.cat(out, dim=0),1.0 - torch.cat(masks, dim=0),)
+        return (torch.cat(out, dim=0),torch.cat(masks, dim=0),)
+
+class CreateAudioMask:
+       
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "createaudiomask"
+    CATEGORY = "KJNodes/deprecated"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "invert": ("BOOLEAN", {"default": False}),
+                 "frames": ("INT", {"default": 16,"min": 1, "max": 255, "step": 1}),
+                 "scale": ("FLOAT", {"default": 0.5,"min": 0.0, "max": 2.0, "step": 0.01}),
+                 "audio_path": ("STRING", {"default": "audio.wav"}),
+                 "width": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}),
+                 "height": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}),
+        },
+    } 
+
+    def createaudiomask(self, frames, width, height, invert, audio_path, scale):
+        try:
+            import librosa
+        except ImportError:
+            raise Exception("Can not import librosa. Install it with 'pip install librosa'")
+        batch_size = frames
+        out = []
+        masks = []
+        if audio_path == "audio.wav": #I don't know why relative path won't work otherwise...
+            audio_path = os.path.join(script_directory, audio_path)
+        audio, sr = librosa.load(audio_path)
+        spectrogram = np.abs(librosa.stft(audio))
+        
+        for i in range(batch_size):
+           image = Image.new("RGB", (width, height), "black")
+           draw = ImageDraw.Draw(image)
+           frame = spectrogram[:, i]
+           circle_radius = int(height * np.mean(frame))
+           circle_radius *= scale
+           circle_center = (width // 2, height // 2)  # Calculate the center of the image
+
+           draw.ellipse([(circle_center[0] - circle_radius, circle_center[1] - circle_radius),
+                      (circle_center[0] + circle_radius, circle_center[1] + circle_radius)],
+                      fill='white')
+             
+           image = np.array(image).astype(np.float32) / 255.0
+           image = torch.from_numpy(image)[None,]
+           mask = image[:, :, :, 0] 
+           masks.append(mask)
+           out.append(image)
+
+        if invert:
+            return (1.0 - torch.cat(out, dim=0),)
+        return (torch.cat(out, dim=0),torch.cat(masks, dim=0),)
+       
+class CreateGradientMask:
+    
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "createmask"
+    CATEGORY = "KJNodes/masking/generate"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "invert": ("BOOLEAN", {"default": False}),
+                 "frames": ("INT", {"default": 0,"min": 0, "max": 255, "step": 1}),
+                 "width": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}),
+                 "height": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}),
+        },
+    } 
+    def createmask(self, frames, width, height, invert):
+        # Define the number of images in the batch
+        batch_size = frames
+        out = []
+        # Create an empty array to store the image batch
+        image_batch = np.zeros((batch_size, height, width), dtype=np.float32)
+        # Generate the black to white gradient for each image
+        for i in range(batch_size):
+            gradient = np.linspace(1.0, 0.0, width, dtype=np.float32)
+            time = i / frames  # Calculate the time variable
+            offset_gradient = gradient - time  # Offset the gradient values based on time
+            image_batch[i] = offset_gradient.reshape(1, -1)
+        output = torch.from_numpy(image_batch)
+        mask = output
+        out.append(mask)
+        if invert:
+            return (1.0 - torch.cat(out, dim=0),)
+        return (torch.cat(out, dim=0),)
+
+class CreateFadeMask:
+    
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "createfademask"
+    CATEGORY = "KJNodes/deprecated"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "invert": ("BOOLEAN", {"default": False}),
+                 "frames": ("INT", {"default": 2,"min": 2, "max": 255, "step": 1}),
+                 "width": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}),
+                 "height": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}),
+                 "interpolation": (["linear", "ease_in", "ease_out", "ease_in_out"],),
+                 "start_level": ("FLOAT", {"default": 1.0,"min": 0.0, "max": 1.0, "step": 0.01}),
+                 "midpoint_level": ("FLOAT", {"default": 0.5,"min": 0.0, "max": 1.0, "step": 0.01}),
+                 "end_level": ("FLOAT", {"default": 0.0,"min": 0.0, "max": 1.0, "step": 0.01}),
+                 "midpoint_frame": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
+        },
+    } 
+    
+    def createfademask(self, frames, width, height, invert, interpolation, start_level, midpoint_level, end_level, midpoint_frame):
+        def ease_in(t):
+            return t * t
+
+        def ease_out(t):
+            return 1 - (1 - t) * (1 - t)
+
+        def ease_in_out(t):
+            return 3 * t * t - 2 * t * t * t
+
+        batch_size = frames
+        out = []
+        image_batch = np.zeros((batch_size, height, width), dtype=np.float32)
+
+        if midpoint_frame == 0:
+            midpoint_frame = batch_size // 2
+
+        for i in range(batch_size):
+            if i <= midpoint_frame:
+                t = i / midpoint_frame
+                if interpolation == "ease_in":
+                    t = ease_in(t)
+                elif interpolation == "ease_out":
+                    t = ease_out(t)
+                elif interpolation == "ease_in_out":
+                    t = ease_in_out(t)
+                color = start_level - t * (start_level - midpoint_level)
+            else:
+                t = (i - midpoint_frame) / (batch_size - midpoint_frame)
+                if interpolation == "ease_in":
+                    t = ease_in(t)
+                elif interpolation == "ease_out":
+                    t = ease_out(t)
+                elif interpolation == "ease_in_out":
+                    t = ease_in_out(t)
+                color = midpoint_level - t * (midpoint_level - end_level)
+
+            color = np.clip(color, 0, 255)
+            image = np.full((height, width), color, dtype=np.float32)
+            image_batch[i] = image
+
+        output = torch.from_numpy(image_batch)
+        mask = output
+        out.append(mask)
+
+        if invert:
+            return (1.0 - torch.cat(out, dim=0),)
+        return (torch.cat(out, dim=0),)
+
+class CreateFadeMaskAdvanced:
+    
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "createfademask"
+    CATEGORY = "KJNodes/masking/generate"
+    DESCRIPTION = """
+Create a batch of masks interpolated between given frames and values. 
+Uses same syntax as Fizz' BatchValueSchedule.
+First value is the frame index (not that this starts from 0, not 1) 
+and the second value inside the brackets is the float value of the mask in range 0.0 - 1.0  
+
+For example the default values:  
+0:(0.0)  
+7:(1.0)  
+15:(0.0)  
+  
+Would create a mask batch fo 16 frames, starting from black, 
+interpolating with the chosen curve to fully white at the 8th frame, 
+and interpolating from that to fully black at the 16th frame.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "points_string": ("STRING", {"default": "0:(0.0),\n7:(1.0),\n15:(0.0)\n", "multiline": True}),
+                 "invert": ("BOOLEAN", {"default": False}),
+                 "frames": ("INT", {"default": 16,"min": 2, "max": 255, "step": 1}),
+                 "width": ("INT", {"default": 512,"min": 1, "max": 4096, "step": 1}),
+                 "height": ("INT", {"default": 512,"min": 1, "max": 4096, "step": 1}),
+                 "interpolation": (["linear", "ease_in", "ease_out", "ease_in_out"],),
+        },
+    } 
+    
+    def createfademask(self, frames, width, height, invert, points_string, interpolation):
+        def ease_in(t):
+            return t * t
+        
+        def ease_out(t):
+            return 1 - (1 - t) * (1 - t)
+
+        def ease_in_out(t):
+            return 3 * t * t - 2 * t * t * t
+        
+        # Parse the input string into a list of tuples
+        points = []
+        points_string = points_string.rstrip(',\n')
+        for point_str in points_string.split(','):
+            frame_str, color_str = point_str.split(':')
+            frame = int(frame_str.strip())
+            color = float(color_str.strip()[1:-1])  # Remove parentheses around color
+            points.append((frame, color))
+
+        # Check if the last frame is already in the points
+        if len(points) == 0 or points[-1][0] != frames - 1:
+            # If not, add it with the color of the last specified frame
+            points.append((frames - 1, points[-1][1] if points else 0))
+
+        # Sort the points by frame number
+        points.sort(key=lambda x: x[0])
+
+        batch_size = frames
+        out = []
+        image_batch = np.zeros((batch_size, height, width), dtype=np.float32)
+
+        # Index of the next point to interpolate towards
+        next_point = 1
+
+        for i in range(batch_size):
+            while next_point < len(points) and i > points[next_point][0]:
+                next_point += 1
+
+            # Interpolate between the previous point and the next point
+            prev_point = next_point - 1
+            t = (i - points[prev_point][0]) / (points[next_point][0] - points[prev_point][0])
+            if interpolation == "ease_in":
+                t = ease_in(t)
+            elif interpolation == "ease_out":
+                t = ease_out(t)
+            elif interpolation == "ease_in_out":
+                t = ease_in_out(t)
+            elif interpolation == "linear":
+                pass  # No need to modify `t` for linear interpolation
+
+            color = points[prev_point][1] - t * (points[prev_point][1] - points[next_point][1])
+            color = np.clip(color, 0, 255)
+            image = np.full((height, width), color, dtype=np.float32)
+            image_batch[i] = image
+
+        output = torch.from_numpy(image_batch)
+        mask = output
+        out.append(mask)
+
+        if invert:
+            return (1.0 - torch.cat(out, dim=0),)
+        return (torch.cat(out, dim=0),)
+
+class CreateMagicMask:
+    
+    RETURN_TYPES = ("MASK", "MASK",)
+    RETURN_NAMES = ("mask", "mask_inverted",)
+    FUNCTION = "createmagicmask"
+    CATEGORY = "KJNodes/masking/generate"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "frames": ("INT", {"default": 16,"min": 2, "max": 4096, "step": 1}),
+                 "depth": ("INT", {"default": 12,"min": 1, "max": 500, "step": 1}),
+                 "distortion": ("FLOAT", {"default": 1.5,"min": 0.0, "max": 100.0, "step": 0.01}),
+                 "seed": ("INT", {"default": 123,"min": 0, "max": 99999999, "step": 1}),
+                 "transitions": ("INT", {"default": 1,"min": 1, "max": 20, "step": 1}),
+                 "frame_width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                 "frame_height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+        },
+    } 
+
+    def createmagicmask(self, frames, transitions, depth, distortion, seed, frame_width, frame_height):
+        from ..utility.magictex import coordinate_grid, random_transform, magic
+        import matplotlib.pyplot as plt
+        rng = np.random.default_rng(seed)
+        out = []
+        coords = coordinate_grid((frame_width, frame_height))
+
+        # Calculate the number of frames for each transition
+        frames_per_transition = frames // transitions
+
+        # Generate a base set of parameters
+        base_params = {
+            "coords": random_transform(coords, rng),
+            "depth": depth,
+            "distortion": distortion,
+        }
+        for t in range(transitions):
+        # Generate a second set of parameters that is at most max_diff away from the base parameters
+            params1 = base_params.copy()
+            params2 = base_params.copy()
+
+            params1['coords'] = random_transform(coords, rng)
+            params2['coords'] = random_transform(coords, rng)
+
+            for i in range(frames_per_transition):
+                # Compute the interpolation factor
+                alpha = i / frames_per_transition
+
+                # Interpolate between the two sets of parameters
+                params = params1.copy()
+                params['coords'] = (1 - alpha) * params1['coords'] + alpha * params2['coords']
+
+                tex = magic(**params)
+
+                dpi = frame_width / 10
+                fig = plt.figure(figsize=(10, 10), dpi=dpi)
+
+                ax = fig.add_subplot(111)
+                plt.subplots_adjust(left=0, right=1, bottom=0, top=1)
+                
+                ax.get_yaxis().set_ticks([])
+                ax.get_xaxis().set_ticks([])
+                ax.imshow(tex, aspect='auto')
+                
+                fig.canvas.draw()
+                img = np.array(fig.canvas.renderer._renderer)
+                
+                plt.close(fig)
+                
+                pil_img = Image.fromarray(img).convert("L")
+                mask = torch.tensor(np.array(pil_img)) / 255.0
+                
+                out.append(mask)
+        
+        return (torch.stack(out, dim=0), 1.0 - torch.stack(out, dim=0),)
+        
+class CreateShapeMask:
+    
+    RETURN_TYPES = ("MASK", "MASK",)
+    RETURN_NAMES = ("mask", "mask_inverted",)
+    FUNCTION = "createshapemask"
+    CATEGORY = "KJNodes/masking/generate"
+    DESCRIPTION = """
+Creates a mask or batch of masks with the specified shape.  
+Locations are center locations.  
+Grow value is the amount to grow the shape on each frame, creating animated masks.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "shape": (
+            [   'circle',
+                'square',
+                'triangle',
+            ],
+            {
+            "default": 'circle'
+             }),
+                "frames": ("INT", {"default": 1,"min": 1, "max": 4096, "step": 1}),
+                "location_x": ("INT", {"default": 256,"min": 0, "max": 4096, "step": 1}),
+                "location_y": ("INT", {"default": 256,"min": 0, "max": 4096, "step": 1}),
+                "grow": ("INT", {"default": 0, "min": -512, "max": 512, "step": 1}),
+                "frame_width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "frame_height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "shape_width": ("INT", {"default": 128,"min": 8, "max": 4096, "step": 1}),
+                "shape_height": ("INT", {"default": 128,"min": 8, "max": 4096, "step": 1}),
+        },
+    } 
+
+    def createshapemask(self, frames, frame_width, frame_height, location_x, location_y, shape_width, shape_height, grow, shape):
+        # Define the number of images in the batch
+        batch_size = frames
+        out = []
+        color = "white"
+        for i in range(batch_size):
+            image = Image.new("RGB", (frame_width, frame_height), "black")
+            draw = ImageDraw.Draw(image)
+
+            # Calculate the size for this frame and ensure it's not less than 0
+            current_width = max(0, shape_width + i*grow)
+            current_height = max(0, shape_height + i*grow)
+
+            if shape == 'circle' or shape == 'square':
+                # Define the bounding box for the shape
+                left_up_point = (location_x - current_width // 2, location_y - current_height // 2)
+                right_down_point = (location_x + current_width // 2, location_y + current_height // 2)
+                two_points = [left_up_point, right_down_point]
+
+                if shape == 'circle':
+                    draw.ellipse(two_points, fill=color)
+                elif shape == 'square':
+                    draw.rectangle(two_points, fill=color)
+                    
+            elif shape == 'triangle':
+                # Define the points for the triangle
+                left_up_point = (location_x - current_width // 2, location_y + current_height // 2) # bottom left
+                right_down_point = (location_x + current_width // 2, location_y + current_height // 2) # bottom right
+                top_point = (location_x, location_y - current_height // 2) # top point
+                draw.polygon([top_point, left_up_point, right_down_point], fill=color)
+
+            image = pil2tensor(image)
+            mask = image[:, :, :, 0]
+            out.append(mask)
+        outstack = torch.cat(out, dim=0)
+        return (outstack, 1.0 - outstack,)
+    
+class CreateVoronoiMask:
+    
+    RETURN_TYPES = ("MASK", "MASK",)
+    RETURN_NAMES = ("mask", "mask_inverted",)
+    FUNCTION = "createvoronoi"
+    CATEGORY = "KJNodes/masking/generate"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "frames": ("INT", {"default": 16,"min": 2, "max": 4096, "step": 1}),
+                 "num_points": ("INT", {"default": 15,"min": 1, "max": 4096, "step": 1}),
+                 "line_width": ("INT", {"default": 4,"min": 1, "max": 4096, "step": 1}),
+                 "speed": ("FLOAT", {"default": 0.5,"min": 0.0, "max": 1.0, "step": 0.01}),
+                 "frame_width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                 "frame_height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+        },
+    } 
+
+    def createvoronoi(self, frames, num_points, line_width, speed, frame_width, frame_height):
+        from scipy.spatial import Voronoi
+        # Define the number of images in the batch
+        batch_size = frames
+        out = []
+          
+        # Calculate aspect ratio
+        aspect_ratio = frame_width / frame_height
+        
+        # Create start and end points for each point, considering the aspect ratio
+        start_points = np.random.rand(num_points, 2)
+        start_points[:, 0] *= aspect_ratio
+        
+        end_points = np.random.rand(num_points, 2)
+        end_points[:, 0] *= aspect_ratio
+
+        for i in range(batch_size):
+            # Interpolate the points' positions based on the current frame
+            t = (i * speed) / (batch_size - 1)  # normalize to [0, 1] over the frames
+            t = np.clip(t, 0, 1)  # ensure t is in [0, 1]
+            points = (1 - t) * start_points + t * end_points  # lerp
+
+            # Adjust points for aspect ratio
+            points[:, 0] *= aspect_ratio
+
+            vor = Voronoi(points)
+
+            # Create a blank image with a white background
+            fig, ax = plt.subplots()
+            plt.subplots_adjust(left=0, right=1, bottom=0, top=1)
+            ax.set_xlim([0, aspect_ratio]); ax.set_ylim([0, 1])  # adjust x limits
+            ax.axis('off')
+            ax.margins(0, 0)
+            fig.set_size_inches(aspect_ratio * frame_height/100, frame_height/100)  # adjust figure size
+            ax.fill_between([0, 1], [0, 1], color='white')
+
+            # Plot each Voronoi ridge
+            for simplex in vor.ridge_vertices:
+                simplex = np.asarray(simplex)
+                if np.all(simplex >= 0):
+                    plt.plot(vor.vertices[simplex, 0], vor.vertices[simplex, 1], 'k-', linewidth=line_width)
+
+            fig.canvas.draw()
+            img = np.array(fig.canvas.renderer._renderer)
+
+            plt.close(fig)
+
+            pil_img = Image.fromarray(img).convert("L")
+            mask = torch.tensor(np.array(pil_img)) / 255.0
+
+            out.append(mask)
+
+        return (torch.stack(out, dim=0), 1.0 - torch.stack(out, dim=0),)
+    
+class GetMaskSizeAndCount:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "mask": ("MASK",),
+        }}
+
+    RETURN_TYPES = ("MASK","INT", "INT", "INT",)
+    RETURN_NAMES = ("mask", "width", "height", "count",)
+    FUNCTION = "getsize"
+    CATEGORY = "KJNodes/masking"
+    DESCRIPTION = """
+Returns the width, height and batch size of the mask,  
+and passes it through unchanged.  
+
+"""
+
+    def getsize(self, mask):
+        width = mask.shape[2]
+        height = mask.shape[1]
+        count = mask.shape[0]
+        return {"ui": {
+            "text": [f"{count}x{width}x{height}"]}, 
+            "result": (mask, width, height, count) 
+        }
+
+class GrowMaskWithBlur:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "expand": ("INT", {"default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1}),
+                "incremental_expandrate": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step": 0.1}),
+                "tapered_corners": ("BOOLEAN", {"default": True}),
+                "flip_input": ("BOOLEAN", {"default": False}),
+                "blur_radius": ("FLOAT", {
+                    "default": 0.0,
+                    "min": 0.0,
+                    "max": 100,
+                    "step": 0.1
+                }),
+                "lerp_alpha": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                "decay_factor": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+            },
+            "optional": {
+                "fill_holes": ("BOOLEAN", {"default": False}),
+            },
+        }
+
+    CATEGORY = "KJNodes/masking"
+    RETURN_TYPES = ("MASK", "MASK",)
+    RETURN_NAMES = ("mask", "mask_inverted",)
+    FUNCTION = "expand_mask"
+    DESCRIPTION = """
+# GrowMaskWithBlur
+- mask: Input mask or mask batch
+- expand: Expand or contract mask or mask batch by a given amount
+- incremental_expandrate: increase expand rate by a given amount per frame
+- tapered_corners: use tapered corners
+- flip_input: flip input mask
+- blur_radius: value higher than 0 will blur the mask
+- lerp_alpha: alpha value for interpolation between frames
+- decay_factor: decay value for interpolation between frames
+- fill_holes: fill holes in the mask (slow)"""
+    
+    def expand_mask(self, mask, expand, tapered_corners, flip_input, blur_radius, incremental_expandrate, lerp_alpha, decay_factor, fill_holes=False):
+        alpha = lerp_alpha
+        decay = decay_factor
+        if flip_input:
+            mask = 1.0 - mask
+        c = 0 if tapered_corners else 1
+        kernel = np.array([[c, 1, c],
+                           [1, 1, 1],
+                           [c, 1, c]])
+        growmask = mask.reshape((-1, mask.shape[-2], mask.shape[-1])).cpu()
+        out = []
+        previous_output = None
+        current_expand = expand
+        for m in growmask:
+            output = m.numpy().astype(np.float32)
+            for _ in range(abs(round(current_expand))):
+                if current_expand < 0:
+                    output = scipy.ndimage.grey_erosion(output, footprint=kernel)
+                else:
+                    output = scipy.ndimage.grey_dilation(output, footprint=kernel)
+            if current_expand < 0:
+                current_expand -= abs(incremental_expandrate)
+            else:
+                current_expand += abs(incremental_expandrate)
+            if fill_holes:
+                binary_mask = output > 0
+                output = scipy.ndimage.binary_fill_holes(binary_mask)
+                output = output.astype(np.float32) * 255
+            output = torch.from_numpy(output)
+            if alpha < 1.0 and previous_output is not None:
+                # Interpolate between the previous and current frame
+                output = alpha * output + (1 - alpha) * previous_output
+            if decay < 1.0 and previous_output is not None:
+                # Add the decayed previous output to the current frame
+                output += decay * previous_output
+                output = output / output.max()
+            previous_output = output
+            out.append(output)
+
+        if blur_radius != 0:
+            # Convert the tensor list to PIL images, apply blur, and convert back
+            for idx, tensor in enumerate(out):
+                # Convert tensor to PIL image
+                pil_image = tensor2pil(tensor.cpu().detach())[0]
+                # Apply Gaussian blur
+                pil_image = pil_image.filter(ImageFilter.GaussianBlur(blur_radius))
+                # Convert back to tensor
+                out[idx] = pil2tensor(pil_image)
+            blurred = torch.cat(out, dim=0)
+            return (blurred, 1.0 - blurred)
+        else:
+            return (torch.stack(out, dim=0), 1.0 - torch.stack(out, dim=0),)
+        
+class MaskBatchMulti:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "inputcount": ("INT", {"default": 2, "min": 2, "max": 1000, "step": 1}),
+                "mask_1": ("MASK", ),
+                "mask_2": ("MASK", ),
+            },
+    }
+
+    RETURN_TYPES = ("MASK",)
+    RETURN_NAMES = ("masks",)
+    FUNCTION = "combine"
+    CATEGORY = "KJNodes/masking"
+    DESCRIPTION = """
+Creates an image batch from multiple masks.  
+You can set how many inputs the node has,  
+with the **inputcount** and clicking update.
+"""
+
+    def combine(self, inputcount, **kwargs):
+        mask = kwargs["mask_1"]
+        for c in range(1, inputcount):
+            new_mask = kwargs[f"mask_{c + 1}"]
+            if mask.shape[1:] != new_mask.shape[1:]:
+                new_mask = F.interpolate(new_mask.unsqueeze(1), size=(mask.shape[1], mask.shape[2]), mode="bicubic").squeeze(1)
+            mask = torch.cat((mask, new_mask), dim=0)
+        return (mask,)
+
+class OffsetMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "x": ("INT", { "default": 0, "min": -4096, "max": MAX_RESOLUTION, "step": 1, "display": "number" }),
+                "y": ("INT", { "default": 0, "min": -4096, "max": MAX_RESOLUTION, "step": 1, "display": "number" }),
+                "angle": ("INT", { "default": 0, "min": -360, "max": 360, "step": 1, "display": "number" }),
+                "duplication_factor": ("INT", { "default": 1, "min": 1, "max": 1000, "step": 1, "display": "number" }),
+                "roll": ("BOOLEAN", { "default": False }),
+                "incremental": ("BOOLEAN", { "default": False }),
+                "padding_mode": (
+            [   
+                'empty',
+                'border',
+                'reflection',
+                
+            ], {
+               "default": 'empty'
+            }),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    RETURN_NAMES = ("mask",)
+    FUNCTION = "offset"
+    CATEGORY = "KJNodes/masking"
+    DESCRIPTION = """
+Offsets the mask by the specified amount.  
+ - mask: Input mask or mask batch
+ - x: Horizontal offset
+ - y: Vertical offset
+ - angle: Angle in degrees
+ - roll: roll edge wrapping
+ - duplication_factor: Number of times to duplicate the mask to form a batch
+ - border padding_mode: Padding mode for the mask
+"""
+
+    def offset(self, mask, x, y, angle, roll=False, incremental=False, duplication_factor=1, padding_mode="empty"):
+        # Create duplicates of the mask batch
+        mask = mask.repeat(duplication_factor, 1, 1).clone()
+
+        batch_size, height, width = mask.shape
+
+        if angle != 0 and incremental:
+            for i in range(batch_size):
+                rotation_angle = angle * (i+1)
+                mask[i] = TF.rotate(mask[i].unsqueeze(0), rotation_angle).squeeze(0)
+        elif angle > 0:
+            for i in range(batch_size):
+                mask[i] = TF.rotate(mask[i].unsqueeze(0), angle).squeeze(0)
+
+        if roll:
+            if incremental:
+                for i in range(batch_size):
+                    shift_x = min(x*(i+1), width-1)
+                    shift_y = min(y*(i+1), height-1)
+                    if shift_x != 0:
+                        mask[i] = torch.roll(mask[i], shifts=shift_x, dims=1)
+                    if shift_y != 0:
+                        mask[i] = torch.roll(mask[i], shifts=shift_y, dims=0)
+            else:
+                shift_x = min(x, width-1)
+                shift_y = min(y, height-1)
+                if shift_x != 0:
+                    mask = torch.roll(mask, shifts=shift_x, dims=2)
+                if shift_y != 0:
+                    mask = torch.roll(mask, shifts=shift_y, dims=1)
+        else:
+            
+            for i in range(batch_size):
+                if incremental:
+                    temp_x = min(x * (i+1), width-1)
+                    temp_y = min(y * (i+1), height-1)
+                else:
+                    temp_x = min(x, width-1)
+                    temp_y = min(y, height-1)
+                if temp_x > 0:
+                    if padding_mode == 'empty':
+                        mask[i] = torch.cat([torch.zeros((height, temp_x)), mask[i, :, :-temp_x]], dim=1)
+                    elif padding_mode in ['replicate', 'reflect']:
+                        mask[i] = F.pad(mask[i, :, :-temp_x], (0, temp_x), mode=padding_mode)
+                elif temp_x < 0:
+                    if padding_mode == 'empty':
+                        mask[i] = torch.cat([mask[i, :, :temp_x], torch.zeros((height, -temp_x))], dim=1)
+                    elif padding_mode in ['replicate', 'reflect']:
+                        mask[i] = F.pad(mask[i, :, -temp_x:], (temp_x, 0), mode=padding_mode)
+
+                if temp_y > 0:
+                    if padding_mode == 'empty':
+                        mask[i] = torch.cat([torch.zeros((temp_y, width)), mask[i, :-temp_y, :]], dim=0)
+                    elif padding_mode in ['replicate', 'reflect']:
+                        mask[i] = F.pad(mask[i, :-temp_y, :], (0, temp_y), mode=padding_mode)
+                elif temp_y < 0:
+                    if padding_mode == 'empty':
+                        mask[i] = torch.cat([mask[i, :temp_y, :], torch.zeros((-temp_y, width))], dim=0)
+                    elif padding_mode in ['replicate', 'reflect']:
+                        mask[i] = F.pad(mask[i, -temp_y:, :], (temp_y, 0), mode=padding_mode)
+           
+        return mask,
+        
+class RoundMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "mask": ("MASK",),  
+        }}
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "round"
+    CATEGORY = "KJNodes/masking"
+    DESCRIPTION = """
+Rounds the mask or batch of masks to a binary mask.  
+<img src="https://github.com/kijai/ComfyUI-KJNodes/assets/40791699/52c85202-f74e-4b96-9dac-c8bda5ddcc40" width="300" height="250" alt="RoundMask example">
+
+"""
+
+    def round(self, mask):
+        mask = mask.round()
+        return (mask,)
+    
+class ResizeMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "width": ("INT", { "default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 8, "display": "number" }),
+                "height": ("INT", { "default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 8, "display": "number" }),
+                "keep_proportions": ("BOOLEAN", { "default": False }),
+            }
+        }
+
+    RETURN_TYPES = ("MASK", "INT", "INT",)
+    RETURN_NAMES = ("mask", "width", "height",)
+    FUNCTION = "resize"
+    CATEGORY = "KJNodes/masking"
+    DESCRIPTION = """
+Resizes the mask or batch of masks to the specified width and height.
+"""
+
+    def resize(self, mask, width, height, keep_proportions):
+        if keep_proportions:
+            _, oh, ow = mask.shape
+            width = ow if width == 0 else width
+            height = oh if height == 0 else height
+            ratio = min(width / ow, height / oh)
+            width = round(ow*ratio)
+            height = round(oh*ratio)
+        outputs = mask.unsqueeze(1)
+        outputs = F.interpolate(outputs, size=(height, width), mode="nearest")
+        outputs = outputs.squeeze(1)
+
+        return(outputs, outputs.shape[2], outputs.shape[1],)
+
+class RemapMaskRange:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "min": ("FLOAT", {"default": 0.0,"min": -10.0, "max": 1.0, "step": 0.01}),
+                "max": ("FLOAT", {"default": 1.0,"min": 0.0, "max": 10.0, "step": 0.01}),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    RETURN_NAMES = ("mask",)
+    FUNCTION = "remap"
+    CATEGORY = "KJNodes/masking"
+    DESCRIPTION = """
+Sets new min and max values for the mask.
+"""
+
+    def remap(self, mask, min, max):
+
+         # Find the maximum value in the mask
+        mask_max = torch.max(mask)
+        
+        # If the maximum mask value is zero, avoid division by zero by setting it to 1
+        mask_max = mask_max if mask_max > 0 else 1
+        
+        # Scale the mask values to the new range defined by min and max
+        # The highest pixel value in the mask will be scaled to max
+        scaled_mask = (mask / mask_max) * (max - min) + min
+        
+        # Clamp the values to ensure they are within [0.0, 1.0]
+        scaled_mask = torch.clamp(scaled_mask, min=0.0, max=1.0)
+        
+        return (scaled_mask, )
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/nodes.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..d84947da464dffec9d46fac441aa8b81f1e966be
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/nodes/nodes.py
@@ -0,0 +1,1946 @@
+import torch
+import numpy as np
+from PIL import Image
+
+import json, re, os, io, time
+
+import model_management
+import folder_paths
+from nodes import MAX_RESOLUTION
+from comfy.utils import common_upscale, ProgressBar
+
+script_directory = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+folder_paths.add_model_folder_path("kjnodes_fonts", os.path.join(script_directory, "fonts"))
+
+class AnyType(str):
+  """A special class that is always equal in not equal comparisons. Credit to pythongosssss"""
+
+  def __ne__(self, __value: object) -> bool:
+    return False
+any = AnyType("*")
+
+class INTConstant:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "value": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+        },
+        }
+    RETURN_TYPES = ("INT",)
+    RETURN_NAMES = ("value",)
+    FUNCTION = "get_value"
+    CATEGORY = "KJNodes/constants"
+
+    def get_value(self, value):
+        return (value,)
+
+class FloatConstant:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "value": ("FLOAT", {"default": 0.0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 0.001}),
+        },
+        }
+
+    RETURN_TYPES = ("FLOAT",)
+    RETURN_NAMES = ("value",)
+    FUNCTION = "get_value"
+    CATEGORY = "KJNodes/constants"
+
+    def get_value(self, value):
+        return (value,)
+
+class StringConstant:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "string": ("STRING", {"default": '', "multiline": False}),
+            }
+        }
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "passtring"
+    CATEGORY = "KJNodes/constants"
+
+    def passtring(self, string):
+        return (string, )
+
+class StringConstantMultiline:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "string": ("STRING", {"default": "", "multiline": True}),
+                "strip_newlines": ("BOOLEAN", {"default": True}),
+            }
+        }
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "stringify"
+    CATEGORY = "KJNodes/constants"
+
+    def stringify(self, string, strip_newlines):
+        new_string = []
+        for line in io.StringIO(string):
+            if not line.strip().startswith("\n") and strip_newlines:
+                line = line.replace("\n", '')
+            new_string.append(line)
+        new_string = "\n".join(new_string)
+
+        return (new_string, )
+
+
+    
+class ScaleBatchPromptSchedule:
+    
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "scaleschedule"
+    CATEGORY = "KJNodes"
+    DESCRIPTION = """
+Scales a batch schedule from Fizz' nodes BatchPromptSchedule
+to a different frame count.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "input_str": ("STRING", {"forceInput": True,"default": "0:(0.0),\n7:(1.0),\n15:(0.0)\n"}),
+                 "old_frame_count": ("INT", {"forceInput": True,"default": 1,"min": 1, "max": 4096, "step": 1}),
+                 "new_frame_count": ("INT", {"forceInput": True,"default": 1,"min": 1, "max": 4096, "step": 1}),
+                
+        },
+    } 
+    
+    def scaleschedule(self, old_frame_count, input_str, new_frame_count):
+        pattern = r'"(\d+)"\s*:\s*"(.*?)"(?:,|\Z)'
+        frame_strings = dict(re.findall(pattern, input_str))
+        
+        # Calculate the scaling factor
+        scaling_factor = (new_frame_count - 1) / (old_frame_count - 1)
+        
+        # Initialize a dictionary to store the new frame numbers and strings
+        new_frame_strings = {}
+        
+        # Iterate over the frame numbers and strings
+        for old_frame, string in frame_strings.items():
+            # Calculate the new frame number
+            new_frame = int(round(int(old_frame) * scaling_factor))
+            
+            # Store the new frame number and corresponding string
+            new_frame_strings[new_frame] = string
+        
+        # Format the output string
+        output_str = ', '.join([f'"{k}":"{v}"' for k, v in sorted(new_frame_strings.items())])
+        return (output_str,)
+
+
+class GetLatentsFromBatchIndexed:
+    
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "indexedlatentsfrombatch"
+    CATEGORY = "KJNodes"
+    DESCRIPTION = """
+Selects and returns the latents at the specified indices as an latent batch.
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                 "latents": ("LATENT",),
+                 "indexes": ("STRING", {"default": "0, 1, 2", "multiline": True}),
+        },
+    } 
+    
+    def indexedlatentsfrombatch(self, latents, indexes):
+        
+        samples = latents.copy()
+        latent_samples = samples["samples"] 
+
+        # Parse the indexes string into a list of integers
+        index_list = [int(index.strip()) for index in indexes.split(',')]
+        
+        # Convert list of indices to a PyTorch tensor
+        indices_tensor = torch.tensor(index_list, dtype=torch.long)
+        
+        # Select the latents at the specified indices
+        chosen_latents = latent_samples[indices_tensor]
+
+        samples["samples"] = chosen_latents
+        return (samples,)
+    
+
+class ConditioningMultiCombine:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "inputcount": ("INT", {"default": 2, "min": 2, "max": 20, "step": 1}),
+                "conditioning_1": ("CONDITIONING", ),
+                "conditioning_2": ("CONDITIONING", ),
+            },
+    }
+
+    RETURN_TYPES = ("CONDITIONING", "INT")
+    RETURN_NAMES = ("combined", "inputcount")
+    FUNCTION = "combine"
+    CATEGORY = "KJNodes/masking/conditioning"
+    DESCRIPTION = """
+Combines multiple conditioning nodes into one
+"""
+
+    def combine(self, inputcount, **kwargs):
+        from nodes import ConditioningCombine
+        cond_combine_node = ConditioningCombine()
+        cond = kwargs["conditioning_1"]
+        for c in range(1, inputcount):
+            new_cond = kwargs[f"conditioning_{c + 1}"]
+            cond = cond_combine_node.combine(new_cond, cond)[0]
+        return (cond, inputcount,)
+
+
+class JoinStrings:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "string1": ("STRING", {"default": '', "forceInput": True}),
+                "string2": ("STRING", {"default": '', "forceInput": True}),
+                "delimiter": ("STRING", {"default": ' ', "multiline": False}),
+            }
+        }
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "joinstring"
+    CATEGORY = "KJNodes/constants"
+
+    def joinstring(self, string1, string2, delimiter):
+        joined_string = string1 + delimiter + string2
+        return (joined_string, )
+    
+class JoinStringMulti:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "inputcount": ("INT", {"default": 2, "min": 2, "max": 1000, "step": 1}),
+                "string_1": ("STRING", {"default": '', "forceInput": True}),
+                "string_2": ("STRING", {"default": '', "forceInput": True}),
+                "delimiter": ("STRING", {"default": ' ', "multiline": False}),
+                "return_list": ("BOOLEAN", {"default": False}),
+            },
+    }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("string",)
+    FUNCTION = "combine"
+    CATEGORY = "KJNodes"
+    DESCRIPTION = """
+Creates single string, or a list of strings, from  
+multiple input strings.  
+You can set how many inputs the node has,  
+with the **inputcount** and clicking update.
+"""
+
+    def combine(self, inputcount, delimiter, **kwargs):
+        string = kwargs["string_1"]
+        return_list = kwargs["return_list"]
+        strings = [string] # Initialize a list with the first string
+        for c in range(1, inputcount):
+            new_string = kwargs[f"string_{c + 1}"]
+            if return_list:
+                strings.append(new_string) # Add new string to the list
+            else:
+                string = string + delimiter + new_string
+        if return_list:
+            return (strings,) # Return the list of strings
+        else:
+            return (string,) # Return the combined string
+
+class CondPassThrough:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+            },
+            "optional": {
+                "positive": ("CONDITIONING", ),
+                "negative": ("CONDITIONING", ),
+            }, 
+    }
+
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING",)
+    RETURN_NAMES = ("positive", "negative")
+    FUNCTION = "passthrough"
+    CATEGORY = "KJNodes/misc"
+    DESCRIPTION = """
+    Simply passes through the positive and negative conditioning,
+    workaround for Set node not allowing bypassed inputs.
+"""
+
+    def passthrough(self, positive=None, negative=None):
+        return (positive, negative,)
+
+class ModelPassThrough:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {             
+            },
+            "optional": {
+                "model": ("MODEL", ),
+            }, 
+    }
+
+    RETURN_TYPES = ("MODEL", )
+    RETURN_NAMES = ("model",)
+    FUNCTION = "passthrough"
+    CATEGORY = "KJNodes/misc"
+    DESCRIPTION = """
+    Simply passes through the model,
+    workaround for Set node not allowing bypassed inputs.
+"""
+
+    def passthrough(self, model=None):
+            return (model,)
+
+def append_helper(t, mask, c, set_area_to_bounds, strength):
+        n = [t[0], t[1].copy()]
+        _, h, w = mask.shape
+        n[1]['mask'] = mask
+        n[1]['set_area_to_bounds'] = set_area_to_bounds
+        n[1]['mask_strength'] = strength
+        c.append(n)  
+
+class ConditioningSetMaskAndCombine:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "positive_1": ("CONDITIONING", ),
+                "negative_1": ("CONDITIONING", ),
+                "positive_2": ("CONDITIONING", ),
+                "negative_2": ("CONDITIONING", ),
+                "mask_1": ("MASK", ),
+                "mask_2": ("MASK", ),
+                "mask_1_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "mask_2_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "set_cond_area": (["default", "mask bounds"],),
+            }
+        }
+
+    RETURN_TYPES = ("CONDITIONING","CONDITIONING",)
+    RETURN_NAMES = ("combined_positive", "combined_negative",)
+    FUNCTION = "append"
+    CATEGORY = "KJNodes/masking/conditioning"
+    DESCRIPTION = """
+Bundles multiple conditioning mask and combine nodes into one,functionality is identical to ComfyUI native nodes
+"""
+
+    def append(self, positive_1, negative_1, positive_2, negative_2, mask_1, mask_2, set_cond_area, mask_1_strength, mask_2_strength):
+        c = []
+        c2 = []
+        set_area_to_bounds = False
+        if set_cond_area != "default":
+            set_area_to_bounds = True
+        if len(mask_1.shape) < 3:
+            mask_1 = mask_1.unsqueeze(0)
+        if len(mask_2.shape) < 3:
+            mask_2 = mask_2.unsqueeze(0)
+        for t in positive_1:
+            append_helper(t, mask_1, c, set_area_to_bounds, mask_1_strength)
+        for t in positive_2:
+            append_helper(t, mask_2, c, set_area_to_bounds, mask_2_strength)
+        for t in negative_1:
+            append_helper(t, mask_1, c2, set_area_to_bounds, mask_1_strength)
+        for t in negative_2:
+            append_helper(t, mask_2, c2, set_area_to_bounds, mask_2_strength)
+        return (c, c2)
+
+class ConditioningSetMaskAndCombine3:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "positive_1": ("CONDITIONING", ),
+                "negative_1": ("CONDITIONING", ),
+                "positive_2": ("CONDITIONING", ),
+                "negative_2": ("CONDITIONING", ),
+                "positive_3": ("CONDITIONING", ),
+                "negative_3": ("CONDITIONING", ),
+                "mask_1": ("MASK", ),
+                "mask_2": ("MASK", ),
+                "mask_3": ("MASK", ),
+                "mask_1_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "mask_2_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "mask_3_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "set_cond_area": (["default", "mask bounds"],),
+            }
+        }
+
+    RETURN_TYPES = ("CONDITIONING","CONDITIONING",)
+    RETURN_NAMES = ("combined_positive", "combined_negative",)
+    FUNCTION = "append"
+    CATEGORY = "KJNodes/masking/conditioning"
+    DESCRIPTION = """
+Bundles multiple conditioning mask and combine nodes into one,functionality is identical to ComfyUI native nodes
+"""
+
+    def append(self, positive_1, negative_1, positive_2, positive_3, negative_2, negative_3, mask_1, mask_2, mask_3, set_cond_area, mask_1_strength, mask_2_strength, mask_3_strength):
+        c = []
+        c2 = []
+        set_area_to_bounds = False
+        if set_cond_area != "default":
+            set_area_to_bounds = True
+        if len(mask_1.shape) < 3:
+            mask_1 = mask_1.unsqueeze(0)
+        if len(mask_2.shape) < 3:
+            mask_2 = mask_2.unsqueeze(0)
+        if len(mask_3.shape) < 3:
+            mask_3 = mask_3.unsqueeze(0)
+        for t in positive_1:
+            append_helper(t, mask_1, c, set_area_to_bounds, mask_1_strength)
+        for t in positive_2:
+            append_helper(t, mask_2, c, set_area_to_bounds, mask_2_strength)
+        for t in positive_3:
+            append_helper(t, mask_3, c, set_area_to_bounds, mask_3_strength)
+        for t in negative_1:
+            append_helper(t, mask_1, c2, set_area_to_bounds, mask_1_strength)
+        for t in negative_2:
+            append_helper(t, mask_2, c2, set_area_to_bounds, mask_2_strength)
+        for t in negative_3:
+            append_helper(t, mask_3, c2, set_area_to_bounds, mask_3_strength)
+        return (c, c2)
+
+class ConditioningSetMaskAndCombine4:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "positive_1": ("CONDITIONING", ),
+                "negative_1": ("CONDITIONING", ),
+                "positive_2": ("CONDITIONING", ),
+                "negative_2": ("CONDITIONING", ),
+                "positive_3": ("CONDITIONING", ),
+                "negative_3": ("CONDITIONING", ),
+                "positive_4": ("CONDITIONING", ),
+                "negative_4": ("CONDITIONING", ),
+                "mask_1": ("MASK", ),
+                "mask_2": ("MASK", ),
+                "mask_3": ("MASK", ),
+                "mask_4": ("MASK", ),
+                "mask_1_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "mask_2_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "mask_3_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "mask_4_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "set_cond_area": (["default", "mask bounds"],),
+            }
+        }
+
+    RETURN_TYPES = ("CONDITIONING","CONDITIONING",)
+    RETURN_NAMES = ("combined_positive", "combined_negative",)
+    FUNCTION = "append"
+    CATEGORY = "KJNodes/masking/conditioning"
+    DESCRIPTION = """
+Bundles multiple conditioning mask and combine nodes into one,functionality is identical to ComfyUI native nodes
+"""
+
+    def append(self, positive_1, negative_1, positive_2, positive_3, positive_4, negative_2, negative_3, negative_4, mask_1, mask_2, mask_3, mask_4, set_cond_area, mask_1_strength, mask_2_strength, mask_3_strength, mask_4_strength):
+        c = []
+        c2 = []
+        set_area_to_bounds = False
+        if set_cond_area != "default":
+            set_area_to_bounds = True
+        if len(mask_1.shape) < 3:
+            mask_1 = mask_1.unsqueeze(0)
+        if len(mask_2.shape) < 3:
+            mask_2 = mask_2.unsqueeze(0)
+        if len(mask_3.shape) < 3:
+            mask_3 = mask_3.unsqueeze(0)
+        if len(mask_4.shape) < 3:
+            mask_4 = mask_4.unsqueeze(0)
+        for t in positive_1:
+            append_helper(t, mask_1, c, set_area_to_bounds, mask_1_strength)
+        for t in positive_2:
+            append_helper(t, mask_2, c, set_area_to_bounds, mask_2_strength)
+        for t in positive_3:
+            append_helper(t, mask_3, c, set_area_to_bounds, mask_3_strength)
+        for t in positive_4:
+            append_helper(t, mask_4, c, set_area_to_bounds, mask_4_strength)
+        for t in negative_1:
+            append_helper(t, mask_1, c2, set_area_to_bounds, mask_1_strength)
+        for t in negative_2:
+            append_helper(t, mask_2, c2, set_area_to_bounds, mask_2_strength)
+        for t in negative_3:
+            append_helper(t, mask_3, c2, set_area_to_bounds, mask_3_strength)
+        for t in negative_4:
+            append_helper(t, mask_4, c2, set_area_to_bounds, mask_4_strength)
+        return (c, c2)
+
+class ConditioningSetMaskAndCombine5:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "positive_1": ("CONDITIONING", ),
+                "negative_1": ("CONDITIONING", ),
+                "positive_2": ("CONDITIONING", ),
+                "negative_2": ("CONDITIONING", ),
+                "positive_3": ("CONDITIONING", ),
+                "negative_3": ("CONDITIONING", ),
+                "positive_4": ("CONDITIONING", ),
+                "negative_4": ("CONDITIONING", ),
+                "positive_5": ("CONDITIONING", ),
+                "negative_5": ("CONDITIONING", ),
+                "mask_1": ("MASK", ),
+                "mask_2": ("MASK", ),
+                "mask_3": ("MASK", ),
+                "mask_4": ("MASK", ),
+                "mask_5": ("MASK", ),
+                "mask_1_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "mask_2_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "mask_3_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "mask_4_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "mask_5_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "set_cond_area": (["default", "mask bounds"],),
+            }
+        }
+
+    RETURN_TYPES = ("CONDITIONING","CONDITIONING",)
+    RETURN_NAMES = ("combined_positive", "combined_negative",)
+    FUNCTION = "append"
+    CATEGORY = "KJNodes/masking/conditioning"
+    DESCRIPTION = """
+Bundles multiple conditioning mask and combine nodes into one,functionality is identical to ComfyUI native nodes
+"""
+
+    def append(self, positive_1, negative_1, positive_2, positive_3, positive_4, positive_5, negative_2, negative_3, negative_4, negative_5, mask_1, mask_2, mask_3, mask_4, mask_5, set_cond_area, mask_1_strength, mask_2_strength, mask_3_strength, mask_4_strength, mask_5_strength):
+        c = []
+        c2 = []
+        set_area_to_bounds = False
+        if set_cond_area != "default":
+            set_area_to_bounds = True
+        if len(mask_1.shape) < 3:
+            mask_1 = mask_1.unsqueeze(0)
+        if len(mask_2.shape) < 3:
+            mask_2 = mask_2.unsqueeze(0)
+        if len(mask_3.shape) < 3:
+            mask_3 = mask_3.unsqueeze(0)
+        if len(mask_4.shape) < 3:
+            mask_4 = mask_4.unsqueeze(0)
+        if len(mask_5.shape) < 3:
+            mask_5 = mask_5.unsqueeze(0)
+        for t in positive_1:
+            append_helper(t, mask_1, c, set_area_to_bounds, mask_1_strength)
+        for t in positive_2:
+            append_helper(t, mask_2, c, set_area_to_bounds, mask_2_strength)
+        for t in positive_3:
+            append_helper(t, mask_3, c, set_area_to_bounds, mask_3_strength)
+        for t in positive_4:
+            append_helper(t, mask_4, c, set_area_to_bounds, mask_4_strength)
+        for t in positive_5:
+            append_helper(t, mask_5, c, set_area_to_bounds, mask_5_strength)
+        for t in negative_1:
+            append_helper(t, mask_1, c2, set_area_to_bounds, mask_1_strength)
+        for t in negative_2:
+            append_helper(t, mask_2, c2, set_area_to_bounds, mask_2_strength)
+        for t in negative_3:
+            append_helper(t, mask_3, c2, set_area_to_bounds, mask_3_strength)
+        for t in negative_4:
+            append_helper(t, mask_4, c2, set_area_to_bounds, mask_4_strength)
+        for t in negative_5:
+            append_helper(t, mask_5, c2, set_area_to_bounds, mask_5_strength)
+        return (c, c2)
+    
+class VRAM_Debug:
+    
+    @classmethod
+    
+    def INPUT_TYPES(s):
+      return {
+        "required": {
+            
+            "empty_cache": ("BOOLEAN", {"default": True}),
+            "gc_collect": ("BOOLEAN", {"default": True}),
+            "unload_all_models": ("BOOLEAN", {"default": False}),
+        },
+        "optional": {
+            "any_input": (any, {}),
+            "image_pass": ("IMAGE",),
+            "model_pass": ("MODEL",),
+        }
+	}
+        
+    RETURN_TYPES = (any, "IMAGE","MODEL","INT", "INT",)
+    RETURN_NAMES = ("any_output", "image_pass", "model_pass", "freemem_before", "freemem_after")
+    FUNCTION = "VRAMdebug"
+    CATEGORY = "KJNodes/misc"
+    DESCRIPTION = """
+Returns the inputs unchanged, they are only used as triggers,  
+and performs comfy model management functions and garbage collection,  
+reports free VRAM before and after the operations.
+"""
+
+    def VRAMdebug(self, gc_collect, empty_cache, unload_all_models, image_pass=None, model_pass=None, any_input=None):
+        freemem_before = model_management.get_free_memory()
+        print("VRAMdebug: free memory before: ", f"{freemem_before:,.0f}")
+        if empty_cache:
+            model_management.soft_empty_cache()
+        if unload_all_models:
+            model_management.unload_all_models()
+        if gc_collect:
+            import gc
+            gc.collect()
+        freemem_after = model_management.get_free_memory()
+        print("VRAMdebug: free memory after: ", f"{freemem_after:,.0f}")
+        print("VRAMdebug: freed memory: ", f"{freemem_after - freemem_before:,.0f}")
+        return {"ui": {
+            "text": [f"{freemem_before:,.0f}x{freemem_after:,.0f}"]}, 
+            "result": (any_input, image_pass, model_pass, freemem_before, freemem_after) 
+        }
+
+class SomethingToString:
+    @classmethod
+    
+    def INPUT_TYPES(s):
+     return {
+        "required": {
+        "input": (any, {}),
+    },
+    "optional": {
+        "prefix": ("STRING", {"default": ""}),
+        "suffix": ("STRING", {"default": ""}),
+    }
+    }
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "stringify"
+    CATEGORY = "KJNodes/text"
+    DESCRIPTION = """
+Converts any type to a string.
+"""
+
+    def stringify(self, input, prefix="", suffix=""):
+        if isinstance(input, (int, float, bool)):
+            stringified = str(input)
+        elif isinstance(input, list):
+            stringified = ', '.join(str(item) for item in input)
+        else:
+            return
+        if prefix: # Check if prefix is not empty
+            stringified = prefix + stringified # Add the prefix
+        if suffix: # Check if suffix is not empty
+            stringified = stringified + suffix # Add the suffix
+
+        return (stringified,)
+
+class Sleep:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "input": (any, {}),
+                "minutes": ("INT", {"default": 0, "min": 0, "max": 1439}),
+                "seconds": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 59.99, "step": 0.01}),
+            },
+        }
+    RETURN_TYPES = (any,)
+    FUNCTION = "sleepdelay"
+    CATEGORY = "KJNodes/misc"
+    DESCRIPTION = """
+Delays the execution for the input amount of time.
+"""
+
+    def sleepdelay(self, input, minutes, seconds):
+        total_seconds = minutes * 60 + seconds
+        time.sleep(total_seconds)
+        return input,
+    
+class EmptyLatentImagePresets:
+    @classmethod
+    def INPUT_TYPES(cls):  
+        return {
+        "required": {
+            "dimensions": (
+            [   '512 x 512',
+                '768 x 512',
+                '960 x 512',
+                '1024 x 512',
+                '1536 x 640',
+                '1344 x 768',
+                '1216 x 832',
+                '1152 x 896',
+                '1024 x 1024',
+            ],
+            {
+            "default": '512 x 512'
+             }),
+           
+            "invert": ("BOOLEAN", {"default": False}),
+            "batch_size": ("INT", {
+            "default": 1,
+            "min": 1,
+            "max": 4096
+            }),
+        },
+        }
+
+    RETURN_TYPES = ("LATENT", "INT", "INT")
+    RETURN_NAMES = ("Latent", "Width", "Height")
+    FUNCTION = "generate"
+    CATEGORY = "KJNodes"
+
+    def generate(self, dimensions, invert, batch_size):
+        from nodes import EmptyLatentImage
+        result = [x.strip() for x in dimensions.split('x')]
+        
+        if invert:
+            width = int(result[1].split(' ')[0])
+            height = int(result[0])
+        else:
+            width = int(result[0])
+            height = int(result[1].split(' ')[0])
+        latent = EmptyLatentImage().generate(width, height, batch_size)[0]
+
+        return (latent, int(width), int(height),)
+
+
+
+class WidgetToString:
+    @classmethod
+    def IS_CHANGED(cls, **kwargs):
+        return float("NaN")
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "id": ("INT", {"default": 0}),
+                "widget_name": ("STRING", {"multiline": False}),
+                "return_all": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                         "any_input": (any, {}),
+                         "node_title": ("STRING", {"multiline": False}),
+                         },
+            "hidden": {"extra_pnginfo": "EXTRA_PNGINFO",
+                       "prompt": "PROMPT",
+                       "unique_id": "UNIQUE_ID",},
+        }
+
+    RETURN_TYPES = ("STRING", )
+    FUNCTION = "get_widget_value"
+    CATEGORY = "KJNodes/text"
+    DESCRIPTION = """
+Selects a node and it's specified widget and outputs the value as a string.  
+If no node id or title is provided it will use the 'any_input' link and use that node.  
+To see node id's, enable node id display from Manager badge menu.  
+Alternatively you can search with the node title. Node titles ONLY exist if they  
+are manually edited!  
+The 'any_input' is required for making sure the node you want the value from exists in the workflow.
+"""
+
+    def get_widget_value(self, id, widget_name, extra_pnginfo, prompt, unique_id, return_all=False, any_input=None, node_title=""):
+        workflow = extra_pnginfo["workflow"]
+        #print(json.dumps(workflow, indent=4))
+        results = []
+        node_id = None  # Initialize node_id to handle cases where no match is found
+        link_id = None
+        link_to_node_map = {}
+
+        for node in workflow["nodes"]:
+            if node_title:
+                if "title" in node:
+                    if node["title"] == node_title:
+                        node_id = node["id"]
+                        break
+                else:
+                    print("Node title not found.")
+            elif id != 0:
+                if node["id"] == id:
+                    node_id = id
+                    break
+            elif any_input is not None:
+                if node["type"] == "WidgetToString" and node["id"] == int(unique_id) and not link_id:
+                    for node_input in node["inputs"]:
+                        if node_input["name"] == "any_input":
+                            link_id = node_input["link"]
+                    
+                # Construct a map of links to node IDs for future reference
+                node_outputs = node.get("outputs", None)
+                if not node_outputs:
+                    continue
+                for output in node_outputs:
+                    node_links = output.get("links", None)
+                    if not node_links:
+                        continue
+                    for link in node_links:
+                        link_to_node_map[link] = node["id"]
+                        if link_id and link == link_id:
+                            break
+        
+        if link_id:
+            node_id = link_to_node_map.get(link_id, None)
+
+        if node_id is None:
+            raise ValueError("No matching node found for the given title or id")
+
+        values = prompt[str(node_id)]
+        if "inputs" in values:
+            if return_all:
+                results.append(', '.join(f'{k}: {str(v)}' for k, v in values["inputs"].items()))
+            elif widget_name in values["inputs"]:
+                v = str(values["inputs"][widget_name])  # Convert to string here
+                return (v, )
+            else:
+                raise NameError(f"Widget not found: {node_id}.{widget_name}")
+        if not results:
+            raise NameError(f"Node not found: {node_id}")
+        return (', '.join(results).strip(', '), )
+
+class DummyOut:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+            "any_input": (any, {}),
+            }
+        }
+
+    RETURN_TYPES = (any,)
+    FUNCTION = "dummy"
+    CATEGORY = "KJNodes/misc"
+    OUTPUT_NODE = True
+    DESCRIPTION = """
+Does nothing, used to trigger generic workflow output.    
+A way to get previews in the UI without saving anything to disk.
+"""
+
+    def dummy(self, any_input):
+        return (any_input,)
+    
+class FlipSigmasAdjusted:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"sigmas": ("SIGMAS", ),
+                     "divide_by_last_sigma": ("BOOLEAN", {"default": False}),
+                     "divide_by": ("FLOAT", {"default": 1,"min": 1, "max": 255, "step": 0.01}),
+                     "offset_by": ("INT", {"default": 1,"min": -100, "max": 100, "step": 1}),
+                     }
+                }
+    RETURN_TYPES = ("SIGMAS", "STRING",)
+    RETURN_NAMES = ("SIGMAS", "sigmas_string",)
+    CATEGORY = "KJNodes/noise"
+    FUNCTION = "get_sigmas_adjusted"
+
+    def get_sigmas_adjusted(self, sigmas, divide_by_last_sigma, divide_by, offset_by):
+        
+        sigmas = sigmas.flip(0)
+        if sigmas[0] == 0:
+            sigmas[0] = 0.0001
+        adjusted_sigmas = sigmas.clone()
+        #offset sigma
+        for i in range(1, len(sigmas)):
+            offset_index = i - offset_by
+            if 0 <= offset_index < len(sigmas):
+                adjusted_sigmas[i] = sigmas[offset_index]
+            else:
+                adjusted_sigmas[i] = 0.0001 
+        if adjusted_sigmas[0] == 0:
+            adjusted_sigmas[0] = 0.0001  
+        if divide_by_last_sigma:
+            adjusted_sigmas = adjusted_sigmas / adjusted_sigmas[-1]
+
+        sigma_np_array = adjusted_sigmas.numpy()
+        array_string = np.array2string(sigma_np_array, precision=2, separator=', ', threshold=np.inf)
+        adjusted_sigmas = adjusted_sigmas / divide_by
+        return (adjusted_sigmas, array_string,)
+    
+class CustomSigmas:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {
+                     "sigmas_string" :("STRING", {"default": "14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029","multiline": True}),
+                     "interpolate_to_steps": ("INT", {"default": 10,"min": 0, "max": 255, "step": 1}),
+                     }
+                }
+    RETURN_TYPES = ("SIGMAS",)
+    RETURN_NAMES = ("SIGMAS",)
+    CATEGORY = "KJNodes/noise"
+    FUNCTION = "customsigmas"
+    DESCRIPTION = """
+Creates a sigmas tensor from a string of comma separated values.  
+Examples: 
+   
+Nvidia's optimized AYS 10 step schedule for SD 1.5:  
+14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029  
+SDXL:   
+14.615, 6.315, 3.771, 2.181, 1.342, 0.862, 0.555, 0.380, 0.234, 0.113, 0.029  
+SVD:  
+700.00, 54.5, 15.886, 7.977, 4.248, 1.789, 0.981, 0.403, 0.173, 0.034, 0.002  
+"""
+    def customsigmas(self, sigmas_string, interpolate_to_steps):
+        sigmas_list = sigmas_string.split(', ')
+        sigmas_float_list = [float(sigma) for sigma in sigmas_list]
+        sigmas_tensor = torch.FloatTensor(sigmas_float_list)
+        if len(sigmas_tensor) != interpolate_to_steps + 1:
+            sigmas_tensor = self.loglinear_interp(sigmas_tensor, interpolate_to_steps + 1)
+        sigmas_tensor[-1] = 0
+        return (sigmas_tensor.float(),)
+     
+    def loglinear_interp(self, t_steps, num_steps):
+        """
+        Performs log-linear interpolation of a given array of decreasing numbers.
+        """
+        t_steps_np = t_steps.numpy()
+
+        xs = np.linspace(0, 1, len(t_steps_np))
+        ys = np.log(t_steps_np[::-1])
+        
+        new_xs = np.linspace(0, 1, num_steps)
+        new_ys = np.interp(new_xs, xs, ys)
+        
+        interped_ys = np.exp(new_ys)[::-1].copy()
+        interped_ys_tensor = torch.tensor(interped_ys)
+        return interped_ys_tensor
+
+ 
+class InjectNoiseToLatent:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "latents":("LATENT",),  
+            "strength": ("FLOAT", {"default": 0.1, "min": 0.0, "max": 200.0, "step": 0.0001}),
+            "noise":  ("LATENT",),
+            "normalize": ("BOOLEAN", {"default": False}),
+            "average": ("BOOLEAN", {"default": False}),
+            },
+            "optional":{
+                "mask": ("MASK", ),
+                "mix_randn_amount": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1000.0, "step": 0.001}),
+                "seed": ("INT", {"default": 123,"min": 0, "max": 0xffffffffffffffff, "step": 1}),
+            }
+            }
+    
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "injectnoise"
+    CATEGORY = "KJNodes/noise"
+        
+    def injectnoise(self, latents, strength, noise, normalize, average, mix_randn_amount=0, seed=None, mask=None):
+        samples = latents.copy()
+        if latents["samples"].shape != noise["samples"].shape:
+            raise ValueError("InjectNoiseToLatent: Latent and noise must have the same shape")
+        if average:
+            noised = (samples["samples"].clone() + noise["samples"].clone()) / 2
+        else:
+            noised = samples["samples"].clone() + noise["samples"].clone() * strength
+        if normalize:
+            noised = noised / noised.std()
+        if mask is not None:
+            mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(noised.shape[2], noised.shape[3]), mode="bilinear")
+            mask = mask.expand((-1,noised.shape[1],-1,-1))
+            if mask.shape[0] < noised.shape[0]:
+                mask = mask.repeat((noised.shape[0] -1) // mask.shape[0] + 1, 1, 1, 1)[:noised.shape[0]]
+            noised = mask * noised + (1-mask) * latents["samples"]
+        if mix_randn_amount > 0:
+            if seed is not None:
+                generator = torch.manual_seed(seed)
+                rand_noise = torch.randn(noised.size(), dtype=noised.dtype, layout=noised.layout, generator=generator, device="cpu")
+                noised = noised + (mix_randn_amount * rand_noise)
+        samples["samples"] = noised
+        return (samples,)
+ 
+class SoundReactive:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {  
+            "sound_level": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 99999, "step": 0.01}),
+            "start_range_hz": ("INT", {"default": 150, "min": 0, "max": 9999, "step": 1}),
+            "end_range_hz": ("INT", {"default": 2000, "min": 0, "max": 9999, "step": 1}),
+            "multiplier": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 99999, "step": 0.01}),
+            "smoothing_factor": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
+            "normalize": ("BOOLEAN", {"default": False}),
+            },
+            }
+    
+    RETURN_TYPES = ("FLOAT","INT",)
+    RETURN_NAMES =("sound_level", "sound_level_int",)
+    FUNCTION = "react"
+    CATEGORY = "KJNodes/audio"
+    DESCRIPTION = """
+Reacts to the sound level of the input.  
+Uses your browsers sound input options and requires.  
+Meant to be used with realtime diffusion with autoqueue.
+"""
+        
+    def react(self, sound_level, start_range_hz, end_range_hz, smoothing_factor, multiplier, normalize):
+
+        sound_level *= multiplier
+
+        if normalize:
+            sound_level /= 255
+
+        sound_level_int = int(sound_level)
+        return (sound_level, sound_level_int, )     
+       
+class GenerateNoise:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { 
+            "width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+            "height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+            "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+            "seed": ("INT", {"default": 123,"min": 0, "max": 0xffffffffffffffff, "step": 1}),
+            "multiplier": ("FLOAT", {"default": 1.0,"min": 0.0, "max": 4096, "step": 0.01}),
+            "constant_batch_noise": ("BOOLEAN", {"default": False}),
+            "normalize": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+            "model": ("MODEL", ),
+            "sigmas": ("SIGMAS", ),
+            "latent_channels": (
+            [   '4',
+                '16',
+            ],
+           ),
+            }
+            }
+    
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "generatenoise"
+    CATEGORY = "KJNodes/noise"
+    DESCRIPTION = """
+Generates noise for injection or to be used as empty latents on samplers with add_noise off.
+"""
+        
+    def generatenoise(self, batch_size, width, height, seed, multiplier, constant_batch_noise, normalize, sigmas=None, model=None, latent_channels=4):
+
+        generator = torch.manual_seed(seed)
+        noise = torch.randn([batch_size, int(latent_channels), height // 8, width // 8], dtype=torch.float32, layout=torch.strided, generator=generator, device="cpu")
+        if sigmas is not None:
+            sigma = sigmas[0] - sigmas[-1]
+            sigma /= model.model.latent_format.scale_factor
+            noise *= sigma
+
+        noise *=multiplier
+
+        if normalize:
+            noise = noise / noise.std()
+        if constant_batch_noise:
+            noise = noise[0].repeat(batch_size, 1, 1, 1)
+
+        
+        return ({"samples":noise}, )
+
+def camera_embeddings(elevation, azimuth):
+    elevation = torch.as_tensor([elevation])
+    azimuth = torch.as_tensor([azimuth])
+    embeddings = torch.stack(
+        [
+                torch.deg2rad(
+                    (90 - elevation) - (90)
+                ),  # Zero123 polar is 90-elevation
+                torch.sin(torch.deg2rad(azimuth)),
+                torch.cos(torch.deg2rad(azimuth)),
+                torch.deg2rad(
+                    90 - torch.full_like(elevation, 0)
+                ),
+        ], dim=-1).unsqueeze(1)
+
+    return embeddings
+
+def interpolate_angle(start, end, fraction):
+    # Calculate the difference in angles and adjust for wraparound if necessary
+    diff = (end - start + 540) % 360 - 180
+    # Apply fraction to the difference
+    interpolated = start + fraction * diff
+    # Normalize the result to be within the range of -180 to 180
+    return (interpolated + 180) % 360 - 180
+
+
+class StableZero123_BatchSchedule:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_vision": ("CLIP_VISION",),
+                              "init_image": ("IMAGE",),
+                              "vae": ("VAE",),
+                              "width": ("INT", {"default": 256, "min": 16, "max": MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 256, "min": 16, "max": MAX_RESOLUTION, "step": 8}),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              "interpolation": (["linear", "ease_in", "ease_out", "ease_in_out"],),
+                              "azimuth_points_string": ("STRING", {"default": "0:(0.0),\n7:(1.0),\n15:(0.0)\n", "multiline": True}),
+                              "elevation_points_string": ("STRING", {"default": "0:(0.0),\n7:(0.0),\n15:(0.0)\n", "multiline": True}),
+                             }}
+    
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+    FUNCTION = "encode"
+    CATEGORY = "KJNodes/experimental"
+
+    def encode(self, clip_vision, init_image, vae, width, height, batch_size, azimuth_points_string, elevation_points_string, interpolation):
+        output = clip_vision.encode_image(init_image)
+        pooled = output.image_embeds.unsqueeze(0)
+        pixels = common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1)
+        encode_pixels = pixels[:,:,:,:3]
+        t = vae.encode(encode_pixels)
+
+        def ease_in(t):
+            return t * t
+        def ease_out(t):
+            return 1 - (1 - t) * (1 - t)
+        def ease_in_out(t):
+            return 3 * t * t - 2 * t * t * t
+        
+        # Parse the azimuth input string into a list of tuples
+        azimuth_points = []
+        azimuth_points_string = azimuth_points_string.rstrip(',\n')
+        for point_str in azimuth_points_string.split(','):
+            frame_str, azimuth_str = point_str.split(':')
+            frame = int(frame_str.strip())
+            azimuth = float(azimuth_str.strip()[1:-1]) 
+            azimuth_points.append((frame, azimuth))
+        # Sort the points by frame number
+        azimuth_points.sort(key=lambda x: x[0])
+
+        # Parse the elevation input string into a list of tuples
+        elevation_points = []
+        elevation_points_string = elevation_points_string.rstrip(',\n')
+        for point_str in elevation_points_string.split(','):
+            frame_str, elevation_str = point_str.split(':')
+            frame = int(frame_str.strip())
+            elevation_val = float(elevation_str.strip()[1:-1]) 
+            elevation_points.append((frame, elevation_val))
+        # Sort the points by frame number
+        elevation_points.sort(key=lambda x: x[0])
+
+        # Index of the next point to interpolate towards
+        next_point = 1
+        next_elevation_point = 1
+
+        positive_cond_out = []
+        positive_pooled_out = []
+        negative_cond_out = []
+        negative_pooled_out = []
+        
+        #azimuth interpolation
+        for i in range(batch_size):
+            # Find the interpolated azimuth for the current frame
+            while next_point < len(azimuth_points) and i >= azimuth_points[next_point][0]:
+                next_point += 1
+            # If next_point is equal to the length of points, we've gone past the last point
+            if next_point == len(azimuth_points):
+                next_point -= 1  # Set next_point to the last index of points
+            prev_point = max(next_point - 1, 0)  # Ensure prev_point is not less than 0
+
+            # Calculate fraction
+            if azimuth_points[next_point][0] != azimuth_points[prev_point][0]:  # Prevent division by zero
+                fraction = (i - azimuth_points[prev_point][0]) / (azimuth_points[next_point][0] - azimuth_points[prev_point][0])
+                if interpolation == "ease_in":
+                    fraction = ease_in(fraction)
+                elif interpolation == "ease_out":
+                    fraction = ease_out(fraction)
+                elif interpolation == "ease_in_out":
+                    fraction = ease_in_out(fraction)
+                
+                # Use the new interpolate_angle function
+                interpolated_azimuth = interpolate_angle(azimuth_points[prev_point][1], azimuth_points[next_point][1], fraction)
+            else:
+                interpolated_azimuth = azimuth_points[prev_point][1]
+            # Interpolate the elevation
+            next_elevation_point = 1
+            while next_elevation_point < len(elevation_points) and i >= elevation_points[next_elevation_point][0]:
+                next_elevation_point += 1
+            if next_elevation_point == len(elevation_points):
+                next_elevation_point -= 1
+            prev_elevation_point = max(next_elevation_point - 1, 0)
+
+            if elevation_points[next_elevation_point][0] != elevation_points[prev_elevation_point][0]:
+                fraction = (i - elevation_points[prev_elevation_point][0]) / (elevation_points[next_elevation_point][0] - elevation_points[prev_elevation_point][0])
+                if interpolation == "ease_in":
+                    fraction = ease_in(fraction)
+                elif interpolation == "ease_out":
+                    fraction = ease_out(fraction)
+                elif interpolation == "ease_in_out":
+                    fraction = ease_in_out(fraction)
+                
+                interpolated_elevation = interpolate_angle(elevation_points[prev_elevation_point][1], elevation_points[next_elevation_point][1], fraction)
+            else:
+                interpolated_elevation = elevation_points[prev_elevation_point][1]
+
+            cam_embeds = camera_embeddings(interpolated_elevation, interpolated_azimuth)
+            cond = torch.cat([pooled, cam_embeds.repeat((pooled.shape[0], 1, 1))], dim=-1)
+
+            positive_pooled_out.append(t)
+            positive_cond_out.append(cond)
+            negative_pooled_out.append(torch.zeros_like(t))
+            negative_cond_out.append(torch.zeros_like(pooled))
+
+        # Concatenate the conditions and pooled outputs
+        final_positive_cond = torch.cat(positive_cond_out, dim=0)
+        final_positive_pooled = torch.cat(positive_pooled_out, dim=0)
+        final_negative_cond = torch.cat(negative_cond_out, dim=0)
+        final_negative_pooled = torch.cat(negative_pooled_out, dim=0)
+
+        # Structure the final output
+        final_positive = [[final_positive_cond, {"concat_latent_image": final_positive_pooled}]]
+        final_negative = [[final_negative_cond, {"concat_latent_image": final_negative_pooled}]]
+
+        latent = torch.zeros([batch_size, 4, height // 8, width // 8])
+        return (final_positive, final_negative, {"samples": latent})
+
+def linear_interpolate(start, end, fraction):
+    return start + (end - start) * fraction
+
+class SV3D_BatchSchedule:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_vision": ("CLIP_VISION",),
+                              "init_image": ("IMAGE",),
+                              "vae": ("VAE",),
+                              "width": ("INT", {"default": 576, "min": 16, "max": MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 576, "min": 16, "max": MAX_RESOLUTION, "step": 8}),
+                              "batch_size": ("INT", {"default": 21, "min": 1, "max": 4096}),
+                              "interpolation": (["linear", "ease_in", "ease_out", "ease_in_out"],),
+                              "azimuth_points_string": ("STRING", {"default": "0:(0.0),\n9:(180.0),\n20:(360.0)\n", "multiline": True}),
+                              "elevation_points_string": ("STRING", {"default": "0:(0.0),\n9:(0.0),\n20:(0.0)\n", "multiline": True}),
+                             }}
+    
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+    FUNCTION = "encode"
+    CATEGORY = "KJNodes/experimental"
+    DESCRIPTION = """
+Allow scheduling of the azimuth and elevation conditions for SV3D.  
+Note that SV3D is still a video model and the schedule needs to always go forward  
+https://huggingface.co/stabilityai/sv3d
+"""
+
+    def encode(self, clip_vision, init_image, vae, width, height, batch_size, azimuth_points_string, elevation_points_string, interpolation):
+        output = clip_vision.encode_image(init_image)
+        pooled = output.image_embeds.unsqueeze(0)
+        pixels = common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1)
+        encode_pixels = pixels[:,:,:,:3]
+        t = vae.encode(encode_pixels)
+
+        def ease_in(t):
+            return t * t
+        def ease_out(t):
+            return 1 - (1 - t) * (1 - t)
+        def ease_in_out(t):
+            return 3 * t * t - 2 * t * t * t
+        
+        # Parse the azimuth input string into a list of tuples
+        azimuth_points = []
+        azimuth_points_string = azimuth_points_string.rstrip(',\n')
+        for point_str in azimuth_points_string.split(','):
+            frame_str, azimuth_str = point_str.split(':')
+            frame = int(frame_str.strip())
+            azimuth = float(azimuth_str.strip()[1:-1]) 
+            azimuth_points.append((frame, azimuth))
+        # Sort the points by frame number
+        azimuth_points.sort(key=lambda x: x[0])
+
+        # Parse the elevation input string into a list of tuples
+        elevation_points = []
+        elevation_points_string = elevation_points_string.rstrip(',\n')
+        for point_str in elevation_points_string.split(','):
+            frame_str, elevation_str = point_str.split(':')
+            frame = int(frame_str.strip())
+            elevation_val = float(elevation_str.strip()[1:-1]) 
+            elevation_points.append((frame, elevation_val))
+        # Sort the points by frame number
+        elevation_points.sort(key=lambda x: x[0])
+
+        # Index of the next point to interpolate towards
+        next_point = 1
+        next_elevation_point = 1
+        elevations = []
+        azimuths = []
+        # For azimuth interpolation
+        for i in range(batch_size):
+            # Find the interpolated azimuth for the current frame
+            while next_point < len(azimuth_points) and i >= azimuth_points[next_point][0]:
+                next_point += 1
+            if next_point == len(azimuth_points):
+                next_point -= 1
+            prev_point = max(next_point - 1, 0)
+
+            if azimuth_points[next_point][0] != azimuth_points[prev_point][0]:
+                fraction = (i - azimuth_points[prev_point][0]) / (azimuth_points[next_point][0] - azimuth_points[prev_point][0])
+                # Apply the ease function to the fraction
+                if interpolation == "ease_in":
+                    fraction = ease_in(fraction)
+                elif interpolation == "ease_out":
+                    fraction = ease_out(fraction)
+                elif interpolation == "ease_in_out":
+                    fraction = ease_in_out(fraction)
+                
+                interpolated_azimuth = linear_interpolate(azimuth_points[prev_point][1], azimuth_points[next_point][1], fraction)
+            else:
+                interpolated_azimuth = azimuth_points[prev_point][1]
+
+            # Interpolate the elevation
+            next_elevation_point = 1
+            while next_elevation_point < len(elevation_points) and i >= elevation_points[next_elevation_point][0]:
+                next_elevation_point += 1
+            if next_elevation_point == len(elevation_points):
+                next_elevation_point -= 1
+            prev_elevation_point = max(next_elevation_point - 1, 0)
+
+            if elevation_points[next_elevation_point][0] != elevation_points[prev_elevation_point][0]:
+                fraction = (i - elevation_points[prev_elevation_point][0]) / (elevation_points[next_elevation_point][0] - elevation_points[prev_elevation_point][0])
+                # Apply the ease function to the fraction
+                if interpolation == "ease_in":
+                    fraction = ease_in(fraction)
+                elif interpolation == "ease_out":
+                    fraction = ease_out(fraction)
+                elif interpolation == "ease_in_out":
+                    fraction = ease_in_out(fraction)
+                
+                interpolated_elevation = linear_interpolate(elevation_points[prev_elevation_point][1], elevation_points[next_elevation_point][1], fraction)
+            else:
+                interpolated_elevation = elevation_points[prev_elevation_point][1]
+
+            azimuths.append(interpolated_azimuth)
+            elevations.append(interpolated_elevation)
+
+        #print("azimuths", azimuths)
+        #print("elevations", elevations)
+
+        # Structure the final output
+        final_positive = [[pooled, {"concat_latent_image": t, "elevation": elevations, "azimuth": azimuths}]]
+        final_negative = [[torch.zeros_like(pooled), {"concat_latent_image": torch.zeros_like(t),"elevation": elevations, "azimuth": azimuths}]]
+
+        latent = torch.zeros([batch_size, 4, height // 8, width // 8])
+        return (final_positive, final_negative, {"samples": latent})
+
+class LoadResAdapterNormalization:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "model": ("MODEL",),
+                "resadapter_path": (folder_paths.get_filename_list("checkpoints"), )
+            } 
+        }
+
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "load_res_adapter"
+    CATEGORY = "KJNodes/experimental"
+
+    def load_res_adapter(self, model, resadapter_path):
+        print("ResAdapter: Checking ResAdapter path")
+        resadapter_full_path = folder_paths.get_full_path("checkpoints", resadapter_path)
+        if not os.path.exists(resadapter_full_path):
+            raise Exception("Invalid model path")
+        else:
+            print("ResAdapter: Loading ResAdapter normalization weights")
+            from comfy.utils import load_torch_file
+            prefix_to_remove = 'diffusion_model.'
+            model_clone = model.clone()
+            norm_state_dict = load_torch_file(resadapter_full_path)
+            new_values = {key[len(prefix_to_remove):]: value for key, value in norm_state_dict.items() if key.startswith(prefix_to_remove)}
+            print("ResAdapter: Attempting to add patches with ResAdapter weights")
+            try:
+                for key in model.model.diffusion_model.state_dict().keys():
+                    if key in new_values:
+                        original_tensor = model.model.diffusion_model.state_dict()[key]
+                        new_tensor = new_values[key].to(model.model.diffusion_model.dtype)
+                        if original_tensor.shape == new_tensor.shape:
+                            model_clone.add_object_patch(f"diffusion_model.{key}.data", new_tensor)
+                        else:
+                            print("ResAdapter: No match for key: ",key)
+            except:
+                raise Exception("Could not patch model, this way of patching was added to ComfyUI on March 3rd 2024, is your ComfyUI up to date?")
+            print("ResAdapter: Added resnet normalization patches")
+            return (model_clone, )
+        
+class Superprompt:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "instruction_prompt": ("STRING", {"default": 'Expand the following prompt to add more detail', "multiline": True}),
+                "prompt": ("STRING", {"default": '', "multiline": True, "forceInput": True}),
+                "max_new_tokens": ("INT", {"default": 128, "min": 1, "max": 4096, "step": 1}),
+            } 
+        }
+
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "process"
+    CATEGORY = "KJNodes/text"
+    DESCRIPTION = """
+# SuperPrompt
+A T5 model fine-tuned on the SuperPrompt dataset for  
+upsampling text prompts to more detailed descriptions.  
+Meant to be used as a pre-generation step for text-to-image  
+models that benefit from more detailed prompts.  
+https://huggingface.co/roborovski/superprompt-v1
+"""
+
+    def process(self, instruction_prompt, prompt, max_new_tokens):
+        device = model_management.get_torch_device()
+        from transformers import T5Tokenizer, T5ForConditionalGeneration
+
+        checkpoint_path = os.path.join(script_directory, "models","superprompt-v1")
+        if not os.path.exists(checkpoint_path):
+                print(f"Downloading model to: {checkpoint_path}")
+                from huggingface_hub import snapshot_download
+                snapshot_download(repo_id="roborovski/superprompt-v1", 
+                                  local_dir=checkpoint_path, 
+                                  local_dir_use_symlinks=False)
+        tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-small", legacy=False)
+
+        model = T5ForConditionalGeneration.from_pretrained(checkpoint_path, device_map=device)
+        model.to(device)
+        input_text = instruction_prompt + ": " + prompt
+  
+        input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to(device)
+        outputs = model.generate(input_ids,  max_new_tokens=max_new_tokens)
+        out = (tokenizer.decode(outputs[0]))
+        out = out.replace('<pad>', '')
+        out = out.replace('</s>', '')
+        
+        return (out, )
+
+
+class CameraPoseVisualizer:
+                
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "pose_file_path": ("STRING", {"default": '', "multiline": False}),
+            "base_xval": ("FLOAT", {"default": 0.2,"min": 0, "max": 100, "step": 0.01}),
+            "zval": ("FLOAT", {"default": 0.3,"min": 0, "max": 100, "step": 0.01}),
+            "scale": ("FLOAT", {"default": 1.0,"min": 0.01, "max": 10.0, "step": 0.01}),
+            "use_exact_fx": ("BOOLEAN", {"default": False}),
+            "relative_c2w": ("BOOLEAN", {"default": True}),
+            "use_viewer": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "cameractrl_poses": ("CAMERACTRL_POSES", {"default": None}),
+            }
+            }
+    
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "plot"
+    CATEGORY = "KJNodes/misc"
+    DESCRIPTION = """
+Visualizes the camera poses, from Animatediff-Evolved CameraCtrl Pose  
+or a .txt file with RealEstate camera intrinsics and coordinates, in a 3D plot. 
+"""
+        
+    def plot(self, pose_file_path, scale, base_xval, zval, use_exact_fx, relative_c2w, use_viewer, cameractrl_poses=None):
+        import matplotlib as mpl
+        import matplotlib.pyplot as plt
+        from torchvision.transforms import ToTensor
+
+        x_min = -2.0 * scale
+        x_max = 2.0 * scale
+        y_min = -2.0 * scale
+        y_max = 2.0 * scale
+        z_min = -2.0 * scale
+        z_max = 2.0 * scale
+        plt.rcParams['text.color'] = '#999999'
+        self.fig = plt.figure(figsize=(18, 7))
+        self.fig.patch.set_facecolor('#353535')
+        self.ax = self.fig.add_subplot(projection='3d')
+        self.ax.set_facecolor('#353535') # Set the background color here
+        self.ax.grid(color='#999999', linestyle='-', linewidth=0.5)
+        self.plotly_data = None  # plotly data traces
+        self.ax.set_aspect("auto")
+        self.ax.set_xlim(x_min, x_max)
+        self.ax.set_ylim(y_min, y_max)
+        self.ax.set_zlim(z_min, z_max)
+        self.ax.set_xlabel('x', color='#999999')
+        self.ax.set_ylabel('y', color='#999999')
+        self.ax.set_zlabel('z', color='#999999')
+        for text in self.ax.get_xticklabels() + self.ax.get_yticklabels() + self.ax.get_zticklabels():
+            text.set_color('#999999')
+        print('initialize camera pose visualizer')
+
+        if pose_file_path != "":
+            with open(pose_file_path, 'r') as f:
+                poses = f.readlines()
+                w2cs = [np.asarray([float(p) for p in pose.strip().split(' ')[7:]]).reshape(3, 4) for pose in poses[1:]]
+                fxs = [float(pose.strip().split(' ')[1]) for pose in poses[1:]]
+                #print(poses)
+        elif cameractrl_poses is not None:
+            poses = cameractrl_poses
+            w2cs = [np.array(pose[7:]).reshape(3, 4) for pose in cameractrl_poses]
+            fxs = [pose[1] for pose in cameractrl_poses]
+        else:
+            raise ValueError("Please provide either pose_file_path or cameractrl_poses")
+
+        total_frames = len(w2cs)
+        transform_matrix = np.asarray([[1, 0, 0, 0], [0, 0, 1, 0], [0, -1, 0, 0], [0, 0, 0, 1]]).reshape(4, 4)
+        last_row = np.zeros((1, 4))
+        last_row[0, -1] = 1.0
+
+        w2cs = [np.concatenate((w2c, last_row), axis=0) for w2c in w2cs]
+        c2ws = self.get_c2w(w2cs, transform_matrix, relative_c2w)
+
+        for frame_idx, c2w in enumerate(c2ws):
+            self.extrinsic2pyramid(c2w, frame_idx / total_frames, hw_ratio=1/1, base_xval=base_xval,
+                                    zval=(fxs[frame_idx] if use_exact_fx else zval))
+
+        # Create the colorbar
+        cmap = mpl.cm.rainbow
+        norm = mpl.colors.Normalize(vmin=0, vmax=total_frames)
+        colorbar = self.fig.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap), ax=self.ax, orientation='vertical')
+
+        # Change the colorbar label
+        colorbar.set_label('Frame', color='#999999') # Change the label and its color
+
+        # Change the tick colors
+        colorbar.ax.yaxis.set_tick_params(colors='#999999') # Change the tick color
+
+        # Change the tick frequency
+        # Assuming you want to set the ticks at every 10th frame
+        ticks = np.arange(0, total_frames, 10)
+        colorbar.ax.yaxis.set_ticks(ticks)
+        
+        plt.title('')
+        plt.draw()
+        buf = io.BytesIO()
+        plt.savefig(buf, format='png', bbox_inches='tight', pad_inches=0)
+        buf.seek(0)
+        img = Image.open(buf)
+        tensor_img = ToTensor()(img)
+        buf.close()
+        tensor_img = tensor_img.permute(1, 2, 0).unsqueeze(0)
+        if use_viewer:
+            time.sleep(1)
+            plt.show()
+        return (tensor_img,)
+
+    def extrinsic2pyramid(self, extrinsic, color_map='red', hw_ratio=1/1, base_xval=1, zval=3):
+        from mpl_toolkits.mplot3d.art3d import Poly3DCollection
+        vertex_std = np.array([[0, 0, 0, 1],
+                            [base_xval, -base_xval * hw_ratio, zval, 1],
+                            [base_xval, base_xval * hw_ratio, zval, 1],
+                            [-base_xval, base_xval * hw_ratio, zval, 1],
+                            [-base_xval, -base_xval * hw_ratio, zval, 1]])
+        vertex_transformed = vertex_std @ extrinsic.T
+        meshes = [[vertex_transformed[0, :-1], vertex_transformed[1][:-1], vertex_transformed[2, :-1]],
+                            [vertex_transformed[0, :-1], vertex_transformed[2, :-1], vertex_transformed[3, :-1]],
+                            [vertex_transformed[0, :-1], vertex_transformed[3, :-1], vertex_transformed[4, :-1]],
+                            [vertex_transformed[0, :-1], vertex_transformed[4, :-1], vertex_transformed[1, :-1]],
+                            [vertex_transformed[1, :-1], vertex_transformed[2, :-1], vertex_transformed[3, :-1], vertex_transformed[4, :-1]]]
+
+        color = color_map if isinstance(color_map, str) else plt.cm.rainbow(color_map)
+
+        self.ax.add_collection3d(
+            Poly3DCollection(meshes, facecolors=color, linewidths=0.3, edgecolors=color, alpha=0.25))
+
+    def customize_legend(self, list_label):
+        from matplotlib.patches import Patch
+        import matplotlib.pyplot as plt
+        list_handle = []
+        for idx, label in enumerate(list_label):
+            color = plt.cm.rainbow(idx / len(list_label))
+            patch = Patch(color=color, label=label)
+            list_handle.append(patch)
+        plt.legend(loc='right', bbox_to_anchor=(1.8, 0.5), handles=list_handle)
+
+    def get_c2w(self, w2cs, transform_matrix, relative_c2w):
+        if relative_c2w:
+            target_cam_c2w = np.array([
+                [1, 0, 0, 0],
+                [0, 1, 0, 0],
+                [0, 0, 1, 0],
+                [0, 0, 0, 1]
+            ])
+            abs2rel = target_cam_c2w @ w2cs[0]
+            ret_poses = [target_cam_c2w, ] + [abs2rel @ np.linalg.inv(w2c) for w2c in w2cs[1:]]
+        else:
+            ret_poses = [np.linalg.inv(w2c) for w2c in w2cs]
+        ret_poses = [transform_matrix @ x for x in ret_poses]
+        return np.array(ret_poses, dtype=np.float32)
+    
+
+
+class StabilityAPI_SD3:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "prompt": ("STRING", {"multiline": True}),
+                "n_prompt": ("STRING", {"multiline": True}),
+                "seed": ("INT", {"default": 123,"min": 0, "max": 4294967294, "step": 1}),
+                "model": (
+                [   
+                    'sd3',
+                    'sd3-turbo',
+                ],
+                {
+                "default": 'sd3'
+                 }),
+                 "aspect_ratio": (
+                [   
+                    '1:1',
+                    '16:9',
+                    '21:9',
+                    '2:3',
+                    '3:2',
+                    '4:5',
+                    '5:4',
+                    '9:16',
+                    '9:21',
+                ],
+                {
+                "default": '1:1'
+                }),
+                "output_format": (
+                [   
+                    'png',
+                    'jpeg',
+                ],
+                {
+                "default": 'jpeg'
+                 }),                 
+            },
+            "optional": {
+                "api_key": ("STRING", {"multiline": True}),
+                "image": ("IMAGE",),
+                "img2img_strength": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
+                "disable_metadata": ("BOOLEAN", {"default": True}),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "apicall"
+
+    CATEGORY = "KJNodes/experimental"
+    DESCRIPTION = """
+## Calls StabilityAI API
+   
+Although you may have multiple keys in your account,  
+you should use the same key for all requests to this API.  
+
+Get your API key here: https://platform.stability.ai/account/keys  
+Recommended to set the key in the config.json -file under this  
+node packs folder.  
+# WARNING:  
+Otherwise the API key may get saved in the image metadata even  
+with "disable_metadata" on if the workflow includes save nodes  
+separate from this node.  
+   
+sd3 requires 6.5 credits per generation  
+sd3-turbo requires 4 credits per generation  
+
+If no image is provided, mode is set to text-to-image  
+
+"""
+
+    def apicall(self, prompt, n_prompt, model, seed, aspect_ratio, output_format, 
+                img2img_strength=0.5, image=None, disable_metadata=True, api_key=""):
+        from comfy.cli_args import args
+        if disable_metadata:
+            args.disable_metadata = True
+        else:
+            args.disable_metadata = False
+        
+        import requests
+        from torchvision import transforms
+        
+        data = {
+                "mode": "text-to-image",
+                "prompt": prompt,
+                "model": model,
+                "seed": seed,
+                "output_format": output_format
+                }
+        
+        if image is not None:
+            image = image.permute(0, 3, 1, 2).squeeze(0)
+            to_pil = transforms.ToPILImage()
+            pil_image = to_pil(image)
+            # Save the PIL Image to a BytesIO object
+            buffer = io.BytesIO()
+            pil_image.save(buffer, format='PNG')
+            buffer.seek(0)
+            files = {"image": ("image.png", buffer, "image/png")}
+           
+            data["mode"] = "image-to-image"
+            data["image"] = pil_image
+            data["strength"] = img2img_strength
+        else:
+            data["aspect_ratio"] = aspect_ratio,
+            files = {"none": ''}
+        
+        if model != "sd3-turbo":
+            data["negative_prompt"] = n_prompt
+
+        headers={
+                "accept": "image/*"
+            }
+        
+        if api_key != "":
+            headers["authorization"] = api_key
+        else:
+            config_file_path = os.path.join(script_directory,"config.json")
+            with open(config_file_path, 'r') as file:
+                config = json.load(file)
+            api_key_from_config = config.get("sai_api_key")
+            headers["authorization"] = api_key_from_config            
+        
+        response = requests.post(
+            f"https://api.stability.ai/v2beta/stable-image/generate/sd3",
+            headers=headers,
+            files = files,
+            data = data,
+        )
+
+        if response.status_code == 200:
+            # Convert the response content to a PIL Image
+            image = Image.open(io.BytesIO(response.content))
+            # Convert the PIL Image to a PyTorch tensor
+            transform = transforms.ToTensor()
+            tensor_image = transform(image)
+            tensor_image = tensor_image.unsqueeze(0)
+            tensor_image = tensor_image.permute(0, 2, 3, 1).cpu().float()
+            return (tensor_image,)
+        else:
+            try:
+                # Attempt to parse the response as JSON
+                error_data = response.json()
+                raise Exception(f"Server error: {error_data}")
+            except json.JSONDecodeError:
+                # If the response is not valid JSON, raise a different exception
+                raise Exception(f"Server error: {response.text}")
+            
+class CheckpointPerturbWeights:
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "model": ("MODEL",),
+            "joint_blocks": ("FLOAT", {"default": 0.02, "min": 0.001, "max": 10.0, "step": 0.001}),
+            "final_layer": ("FLOAT", {"default": 0.02, "min": 0.001, "max": 10.0, "step": 0.001}),
+            "rest_of_the_blocks": ("FLOAT", {"default": 0.02, "min": 0.001, "max": 10.0, "step": 0.001}),
+            "seed": ("INT", {"default": 123,"min": 0, "max": 0xffffffffffffffff, "step": 1}),
+            }
+        }
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "mod"
+    OUTPUT_NODE = True
+
+    CATEGORY = "KJNodes/experimental"
+
+    def mod(self, seed, model, joint_blocks, final_layer, rest_of_the_blocks):
+        import copy
+        torch.manual_seed(seed)
+        torch.cuda.manual_seed_all(seed)
+        device = model_management.get_torch_device()
+        model_copy = copy.deepcopy(model)
+        model_copy.model.to(device)
+        keys = model_copy.model.diffusion_model.state_dict().keys()
+
+        dict = {}
+        for key in keys:
+            dict[key] = model_copy.model.diffusion_model.state_dict()[key]
+
+        pbar = ProgressBar(len(keys))
+        for k in keys:
+            v = dict[k]
+            print(f'{k}: {v.std()}') 
+            if k.startswith('joint_blocks'):
+                multiplier = joint_blocks
+            elif k.startswith('final_layer'):
+                multiplier = final_layer
+            else:
+                multiplier = rest_of_the_blocks
+            dict[k] += torch.normal(torch.zeros_like(v) * v.mean(), torch.ones_like(v) * v.std() * multiplier).to(device)
+            pbar.update(1)
+        model_copy.model.diffusion_model.load_state_dict(dict)
+        return model_copy,
+    
+class DifferentialDiffusionAdvanced():
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                    "model": ("MODEL", ),
+                    "samples": ("LATENT",),
+                    "mask": ("MASK",),
+                    "multiplier": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.001}),
+                            }}
+    RETURN_TYPES = ("MODEL", "LATENT")
+    FUNCTION = "apply"
+    CATEGORY = "_for_testing"
+    INIT = False
+
+    def apply(self, model, samples, mask, multiplier):
+        self.multiplier = multiplier
+        model = model.clone()
+        model.set_model_denoise_mask_function(self.forward)
+        s = samples.copy()
+        s["noise_mask"] = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1]))
+        return (model, s)
+
+    def forward(self, sigma: torch.Tensor, denoise_mask: torch.Tensor, extra_options: dict):
+        model = extra_options["model"]
+        step_sigmas = extra_options["sigmas"]
+        sigma_to = model.inner_model.model_sampling.sigma_min
+        if step_sigmas[-1] > sigma_to:
+            sigma_to = step_sigmas[-1]
+        sigma_from = step_sigmas[0]
+
+        ts_from = model.inner_model.model_sampling.timestep(sigma_from)
+        ts_to = model.inner_model.model_sampling.timestep(sigma_to)
+        current_ts = model.inner_model.model_sampling.timestep(sigma[0])
+
+        threshold = (current_ts - ts_to) / (ts_from - ts_to) / self.multiplier
+
+        return (denoise_mask >= threshold).to(denoise_mask.dtype)
+    
+class FluxBlockLoraSelect:
+    def __init__(self):
+        self.loaded_lora = None
+
+    @classmethod
+    def INPUT_TYPES(s):
+        arg_dict = {}
+        argument = ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1000.0, "step": 0.01})
+
+        for i in range(19):
+            arg_dict["double_blocks.{}.".format(i)] = argument
+
+        for i in range(38):
+            arg_dict["single_blocks.{}.".format(i)] = argument
+
+        return {"required": arg_dict}
+    
+    RETURN_TYPES = ("SELECTEDBLOCKS", )
+    RETURN_NAMES = ("blocks", )
+    OUTPUT_TOOLTIPS = ("The modified diffusion model.",)
+    FUNCTION = "load_lora"
+
+    CATEGORY = "KJNodes/experimental"
+    DESCRIPTION = "Select individual block alpha values, value of 0 removes the block altogether"
+
+    def load_lora(self, **kwargs):
+        return (kwargs,)
+    
+class FluxBlockLoraLoader:
+    def __init__(self):
+        self.loaded_lora = None
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                "model": ("MODEL", {"tooltip": "The diffusion model the LoRA will be applied to."}),
+                "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01, "tooltip": "How strongly to modify the diffusion model. This value can be negative."}),
+                
+                },
+                "optional": {
+                    "lora_name": (folder_paths.get_filename_list("loras"), {"tooltip": "The name of the LoRA."}),
+                    "opt_lora_path": ("STRING", {"forceInput": True, "tooltip": "Absolute path of the LoRA."}),
+                    "blocks": ("SELECTEDBLOCKS",),
+                }
+               }
+    
+    RETURN_TYPES = ("MODEL", "STRING", )
+    RETURN_NAMES = ("model", "rank", )
+    OUTPUT_TOOLTIPS = ("The modified diffusion model.", "possible rank of the LoRA.")
+    FUNCTION = "load_lora"
+    CATEGORY = "KJNodes/experimental"
+
+    def load_lora(self, model, strength_model, lora_name=None, opt_lora_path=None, blocks=None):
+        from comfy.utils import load_torch_file
+        import comfy.lora
+
+        if opt_lora_path:
+            lora_path = opt_lora_path
+        else:
+            lora_path = folder_paths.get_full_path("loras", lora_name)
+        
+        lora = None
+        if self.loaded_lora is not None:
+            if self.loaded_lora[0] == lora_path:
+                lora = self.loaded_lora[1]
+            else:
+                temp = self.loaded_lora
+                self.loaded_lora = None
+                del temp
+        
+        if lora is None:
+            lora = load_torch_file(lora_path, safe_load=True)
+            # Find the first key that ends with "weight"
+        rank = "unknown"
+        weight_key = next((key for key in lora.keys() if key.endswith('weight')), None)
+        # Print the shape of the value corresponding to the key
+        if weight_key:
+            print(f"Shape of the first 'weight' key ({weight_key}): {lora[weight_key].shape}")
+            rank = str(lora[weight_key].shape[0])
+        else:
+            print("No key ending with 'weight' found.")
+            rank = "Couldn't find rank"
+        self.loaded_lora = (lora_path, lora)
+
+        key_map = {}
+        if model is not None:
+            key_map = comfy.lora.model_lora_keys_unet(model.model, key_map)
+
+        loaded = comfy.lora.load_lora(lora, key_map)
+
+        if blocks is not None:
+            keys_to_delete = []
+
+            for block in blocks:
+                for key in list(loaded.keys()):  # Convert keys to a list to avoid runtime error due to size change
+                    match = False
+                    if isinstance(key, str) and block in key:
+                        match = True
+                    elif isinstance(key, tuple):
+                        for k in key:
+                            if block in k:
+                                match = True
+                                break
+
+                    if match:
+                        ratio = blocks[block]
+                        if ratio == 0:
+                            keys_to_delete.append(key)  # Collect keys to delete
+                        else:
+                            value = loaded[key]
+                            if isinstance(value, tuple) and len(value) > 1 and isinstance(value[1], tuple):
+                                # Handle the tuple format
+                                if len(value[1]) > 3:
+                                    loaded[key] = (value[0], value[1][:-3] + (ratio, value[1][-2], value[1][-1]))
+                                else:
+                                    loaded[key] = (value[0], value[1][:-2] + (ratio, value[1][-1]))
+                            else:
+                                # Handle the simpler format directly
+                                loaded[key] = (value[0], ratio)
+
+            # Now perform the deletion of keys
+            for key in keys_to_delete:
+                del loaded[key]
+
+            print("loading lora keys:")
+            for key, value in loaded.items():
+                if isinstance(value, tuple) and len(value) > 1 and isinstance(value[1], tuple):
+                    # Handle the tuple format
+                    if len(value[1]) > 2:
+                        alpha = value[1][-3]  # Assuming the alpha value is the third last element in the tuple
+                    else:
+                        alpha = value[1][-2]  # Adjust according to the second format's structure
+                else:
+                    # Handle the simpler format directly
+                    alpha = value[1] if len(value) > 1 else None
+                print(f"Key: {key}, Alpha: {alpha}")
+
+
+        if model is not None:
+            new_modelpatcher = model.clone()
+            k = new_modelpatcher.add_patches(loaded, strength_model)  
+    
+        k = set(k)
+        for x in loaded:
+            if (x not in k):
+                print("NOT LOADED {}".format(x))
+
+        return (new_modelpatcher, rank)
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/pyproject.toml b/ComfyUI/custom_nodes/ComfyUI-KJNodes/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..069193bfd8bd8fb12e7f7c06a0705bdcca417b8a
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/pyproject.toml
@@ -0,0 +1,15 @@
+[project]
+name = "comfyui-kjnodes"
+description = "Various quality of life -nodes for ComfyUI, mostly just visual stuff to improve usability."
+version = "1.0.1"
+license = {file = "LICENSE"}
+dependencies = ["librosa", "numpy", "pillow>=10.3.0", "scipy", "color-matcher", "matplotlib", "huggingface_hub"]
+
+[project.urls]
+Repository = "https://github.com/kijai/ComfyUI-KJNodes"
+#  Used by Comfy Registry https://comfyregistry.org
+
+[tool.comfy]
+PublisherId = "kijai"
+DisplayName = "ComfyUI-KJNodes"
+Icon = ""
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/requirements.txt b/ComfyUI/custom_nodes/ComfyUI-KJNodes/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5bc18ca95b226298cbb88bd4de3307c157e0a88b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/requirements.txt
@@ -0,0 +1,7 @@
+pillow>=10.3.0
+scipy
+color-matcher
+matplotlib
+huggingface_hub
+mss
+opencv-python
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/__pycache__/utility.cpython-310.pyc b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/__pycache__/utility.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..81b93d1e85959164f32e9cdaf1205be4e20a21a0
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/__pycache__/utility.cpython-310.pyc differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/__pycache__/utility.cpython-312.pyc b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/__pycache__/utility.cpython-312.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..417135a587ff25f76ca65ef9dcbee4512f35f2d3
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/__pycache__/utility.cpython-312.pyc differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/fluid.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/fluid.py
new file mode 100644
index 0000000000000000000000000000000000000000..c0691987f5249a031ecbb74329ba513d5788b691
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/fluid.py
@@ -0,0 +1,67 @@
+import numpy as np
+from scipy.ndimage import map_coordinates, spline_filter
+from scipy.sparse.linalg import factorized
+
+from .numerical import difference, operator
+
+
+class Fluid:
+    def __init__(self, shape, *quantities, pressure_order=1, advect_order=3):
+        self.shape = shape
+        self.dimensions = len(shape)
+
+        # Prototyping is simplified by dynamically 
+        # creating advected quantities as needed.
+        self.quantities = quantities
+        for q in quantities:
+            setattr(self, q, np.zeros(shape))
+
+        self.indices = np.indices(shape)
+        self.velocity = np.zeros((self.dimensions, *shape))
+
+        laplacian = operator(shape, difference(2, pressure_order))
+        self.pressure_solver = factorized(laplacian)
+        
+        self.advect_order = advect_order
+
+    def step(self):
+        # Advection is computed backwards in time as described in Stable Fluids.
+        advection_map = self.indices - self.velocity
+
+        # SciPy's spline filter introduces checkerboard divergence.
+        # A linear blend of the filtered and unfiltered fields based
+        # on some value epsilon eliminates this error.
+        def advect(field, filter_epsilon=10e-2, mode='constant'):
+            filtered = spline_filter(field, order=self.advect_order, mode=mode)
+            field = filtered * (1 - filter_epsilon) + field * filter_epsilon
+            return map_coordinates(field, advection_map, prefilter=False, order=self.advect_order, mode=mode)
+
+        # Apply advection to each axis of the
+        # velocity field and each user-defined quantity.
+        for d in range(self.dimensions):
+            self.velocity[d] = advect(self.velocity[d])
+
+        for q in self.quantities:
+            setattr(self, q, advect(getattr(self, q)))
+
+        # Compute the jacobian at each point in the
+        # velocity field to extract curl and divergence.
+        jacobian_shape = (self.dimensions,) * 2
+        partials = tuple(np.gradient(d) for d in self.velocity)
+        jacobian = np.stack(partials).reshape(*jacobian_shape, *self.shape)
+
+        divergence = jacobian.trace()
+
+        # If this curl calculation is extended to 3D, the y-axis value must be negated.
+        # This corresponds to the coefficients of the levi-civita symbol in that dimension.
+        # Higher dimensions do not have a vector -> scalar, or vector -> vector,
+        # correspondence between velocity and curl due to differing isomorphisms
+        # between exterior powers in dimensions != 2 or 3 respectively.
+        curl_mask = np.triu(np.ones(jacobian_shape, dtype=bool), k=1)
+        curl = (jacobian[curl_mask] - jacobian[curl_mask.T]).squeeze()
+
+        # Apply the pressure correction to the fluid's velocity field.
+        pressure = self.pressure_solver(divergence.flatten()).reshape(self.shape)
+        self.velocity -= np.gradient(pressure)
+
+        return divergence, curl, pressure
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/magictex.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/magictex.py
new file mode 100644
index 0000000000000000000000000000000000000000..e6d426f7deb3deb977604dd37581eb4e9fe9e6a9
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/magictex.py
@@ -0,0 +1,95 @@
+"""Generates psychedelic color textures in the spirit of Blender's magic texture shader using Python/Numpy
+
+https://github.com/cheind/magic-texture
+"""
+from typing import Tuple, Optional
+import numpy as np
+
+
+def coordinate_grid(shape: Tuple[int, int], dtype=np.float32):
+    """Returns a three-dimensional coordinate grid of given shape for use in `magic`."""
+    x = np.linspace(-1, 1, shape[1], endpoint=True, dtype=dtype)
+    y = np.linspace(-1, 1, shape[0], endpoint=True, dtype=dtype)
+    X, Y = np.meshgrid(x, y)
+    XYZ = np.stack((X, Y, np.ones_like(X)), -1)
+    return XYZ
+
+
+def random_transform(coords: np.ndarray, rng: np.random.Generator = None):
+    """Returns randomly transformed coordinates"""
+    H, W = coords.shape[:2]
+    rng = rng or np.random.default_rng()
+    m = rng.uniform(-1.0, 1.0, size=(3, 3)).astype(coords.dtype)
+    return (coords.reshape(-1, 3) @ m.T).reshape(H, W, 3)
+
+
+def magic(
+    coords: np.ndarray,
+    depth: Optional[int] = None,
+    distortion: Optional[int] = None,
+    rng: np.random.Generator = None,
+):
+    """Returns color magic color texture.
+
+    The implementation is based on Blender's (https://www.blender.org/) magic
+    texture shader. The following adaptions have been made:
+     - we exchange the nested if-cascade by a probabilistic iterative approach
+
+    Kwargs
+    ------
+    coords: HxWx3 array
+        Coordinates transformed into colors by this method. See
+        `magictex.coordinate_grid` to generate the default.
+    depth: int (optional)
+        Number of transformations applied. Higher numbers lead to more
+        nested patterns. If not specified, randomly sampled.
+    distortion: float (optional)
+        Distortion of patterns. Larger values indicate more distortion,
+        lower values tend to generate smoother patterns. If not specified,
+        randomly sampled.
+    rng: np.random.Generator
+        Optional random generator to draw samples from.
+
+    Returns
+    -------
+    colors: HxWx3 array
+        Three channel color image in range [0,1]
+    """
+    rng = rng or np.random.default_rng()
+    if distortion is None:
+        distortion = rng.uniform(1, 4)
+    if depth is None:
+        depth = rng.integers(1, 5)
+
+    H, W = coords.shape[:2]
+    XYZ = coords
+    x = np.sin((XYZ[..., 0] + XYZ[..., 1] + XYZ[..., 2]) * distortion)
+    y = np.cos((-XYZ[..., 0] + XYZ[..., 1] - XYZ[..., 2]) * distortion)
+    z = -np.cos((-XYZ[..., 0] - XYZ[..., 1] + XYZ[..., 2]) * distortion)
+
+    if depth > 0:
+        x *= distortion
+        y *= distortion
+        z *= distortion
+        y = -np.cos(x - y + z)
+        y *= distortion
+
+    xyz = [x, y, z]
+    fns = [np.cos, np.sin]
+    for _ in range(1, depth):
+        axis = rng.choice(3)
+        fn = fns[rng.choice(2)]
+        signs = rng.binomial(n=1, p=0.5, size=4) * 2 - 1
+
+        xyz[axis] = signs[-1] * fn(
+            signs[0] * xyz[0] + signs[1] * xyz[1] + signs[2] * xyz[2]
+        )
+        xyz[axis] *= distortion
+
+    x, y, z = xyz
+    x /= 2 * distortion
+    y /= 2 * distortion
+    z /= 2 * distortion
+    c = 0.5 - np.stack((x, y, z), -1)
+    np.clip(c, 0, 1.0)
+    return c
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/numerical.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/numerical.py
new file mode 100644
index 0000000000000000000000000000000000000000..b5b88bc63c45d63d8913e56cbd06eb7ab413fe4f
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/numerical.py
@@ -0,0 +1,25 @@
+from functools import reduce
+from itertools import cycle
+from math import factorial
+
+import numpy as np
+import scipy.sparse as sp
+
+
+def difference(derivative, accuracy=1):
+    # Central differences implemented based on the article here:
+    # http://web.media.mit.edu/~crtaylor/calculator.html
+    derivative += 1
+    radius = accuracy + derivative // 2 - 1
+    points = range(-radius, radius + 1)
+    coefficients = np.linalg.inv(np.vander(points))
+    return coefficients[-derivative] * factorial(derivative - 1), points
+
+
+def operator(shape, *differences):
+    # Credit to Philip Zucker for figuring out
+    # that kronsum's argument order is reversed.
+    # Without that bit of wisdom I'd have lost it.
+    differences = zip(shape, cycle(differences))
+    factors = (sp.diags(*diff, shape=(dim,) * 2) for dim, diff in differences)
+    return reduce(lambda a, f: sp.kronsum(f, a, format='csc'), factors)
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/utility.py b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/utility.py
new file mode 100644
index 0000000000000000000000000000000000000000..f3b5c425922784522791e33c225c29be1e8249e0
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/utility/utility.py
@@ -0,0 +1,39 @@
+import torch
+import numpy as np
+from PIL import Image
+from typing import Union, List
+
+# Utility functions from mtb nodes: https://github.com/melMass/comfy_mtb
+def pil2tensor(image: Union[Image.Image, List[Image.Image]]) -> torch.Tensor:
+    if isinstance(image, list):
+        return torch.cat([pil2tensor(img) for img in image], dim=0)
+
+    return torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0)
+
+
+def np2tensor(img_np: Union[np.ndarray, List[np.ndarray]]) -> torch.Tensor:
+    if isinstance(img_np, list):
+        return torch.cat([np2tensor(img) for img in img_np], dim=0)
+
+    return torch.from_numpy(img_np.astype(np.float32) / 255.0).unsqueeze(0)
+
+
+def tensor2np(tensor: torch.Tensor):
+    if len(tensor.shape) == 3:  # Single image
+        return np.clip(255.0 * tensor.cpu().numpy(), 0, 255).astype(np.uint8)
+    else:  # Batch of images
+        return [np.clip(255.0 * t.cpu().numpy(), 0, 255).astype(np.uint8) for t in tensor]
+    
+def tensor2pil(image: torch.Tensor) -> List[Image.Image]:
+    batch_count = image.size(0) if len(image.shape) > 3 else 1
+    if batch_count > 1:
+        out = []
+        for i in range(batch_count):
+            out.extend(tensor2pil(image[i]))
+        return out
+
+    return [
+        Image.fromarray(
+            np.clip(255.0 * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)
+        )
+    ]
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/green.png b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/green.png
new file mode 100644
index 0000000000000000000000000000000000000000..900964e4b3907145fe1e75a5b58473567450e16d
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/green.png differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/appearance.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/appearance.js
new file mode 100644
index 0000000000000000000000000000000000000000..d90b4aa34d4c52b22a4411194100972c83eed88d
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/appearance.js
@@ -0,0 +1,23 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+    name: "KJNodes.appearance",
+        nodeCreated(node) {
+            switch (node.comfyClass) {
+                case "INTConstant":
+                    node.setSize([200, 58]);
+                    node.color = "#1b4669";
+                    node.bgcolor = "#29699c";
+                    break;
+                case "FloatConstant":
+                    node.setSize([200, 58]);
+                    node.color = LGraphCanvas.node_colors.green.color;
+                    node.bgcolor = LGraphCanvas.node_colors.green.bgcolor;
+                    break;
+                case "ConditioningMultiCombine":
+                    node.color = LGraphCanvas.node_colors.brown.color;
+                    node.bgcolor = LGraphCanvas.node_colors.brown.bgcolor;
+                    break;
+            }
+        }
+});
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/browserstatus.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/browserstatus.js
new file mode 100644
index 0000000000000000000000000000000000000000..fd377e74a6c5ef6cfd66ab8a4940e1448654dba3
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/browserstatus.js
@@ -0,0 +1,53 @@
+import { api } from "../../../scripts/api.js";
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+    name: "KJNodes.browserstatus",
+    setup() {
+        if (!app.ui.settings.getSettingValue("KJNodes.browserStatus")) {
+            return;
+        }
+        api.addEventListener("status", ({ detail }) => {
+            let title = "ComfyUI";
+            let favicon = "green";
+            let queueRemaining = detail && detail.exec_info.queue_remaining;
+
+            if (queueRemaining) {
+                favicon = "red";
+                title = `00% - ${queueRemaining} | ${title}`;
+            } 
+            let link = document.querySelector("link[rel~='icon']");
+            if (!link) {
+                link = document.createElement("link");
+                link.rel = "icon";
+                document.head.appendChild(link);
+            }
+            link.href = new URL(`../${favicon}.png`, import.meta.url);
+            document.title = title;
+        });
+        //add progress to the title
+        api.addEventListener("progress", ({ detail }) => {
+			const { value, max } = detail;
+			const progress = Math.floor((value / max) * 100);
+			let title = document.title;
+		
+			if (!isNaN(progress) && progress >= 0 && progress <= 100) {
+				const paddedProgress = String(progress).padStart(2, '0');
+				title = `${paddedProgress}% ${title.replace(/^\d+%\s/, '')}`;
+			}
+			document.title = title;
+		});
+    },
+    init() {
+        if (!app.ui.settings.getSettingValue("KJNodes.browserStatus")) {
+            return;
+        }
+        const pythongossFeed = app.extensions.find(
+            (e) => e.name === 'pysssss.FaviconStatus',
+          )
+          if (pythongossFeed) {
+            console.warn("KJNodes - Overriding pysssss.FaviconStatus")
+            app.extensions = app.extensions.filter(item => item !== pythongossFeed);
+          }
+    },
+});
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/contextmenu.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/contextmenu.js
new file mode 100644
index 0000000000000000000000000000000000000000..e77301f4f1d7c4fcc13d94e99495260cccb4dab6
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/contextmenu.js
@@ -0,0 +1,152 @@
+import { app } from "../../../scripts/app.js";
+
+// Adds context menu entries, code partly from pyssssscustom-scripts
+
+function addMenuHandler(nodeType, cb) {
+	const getOpts = nodeType.prototype.getExtraMenuOptions;
+	nodeType.prototype.getExtraMenuOptions = function () {
+		const r = getOpts.apply(this, arguments);
+		cb.apply(this, arguments);
+		return r;
+	};
+}
+
+function addNode(name, nextTo, options) {
+	console.log("name:", name);
+	console.log("nextTo:", nextTo);
+	options = { side: "left", select: true, shiftY: 0, shiftX: 0, ...(options || {}) };
+	const node = LiteGraph.createNode(name);
+	app.graph.add(node);
+	
+	node.pos = [
+		options.side === "left" ? nextTo.pos[0] - (node.size[0] + options.offset): nextTo.pos[0] + nextTo.size[0] + options.offset,
+		
+		nextTo.pos[1] + options.shiftY,
+	];
+	if (options.select) {
+		app.canvas.selectNode(node, false);
+	}
+	return node;
+}
+
+app.registerExtension({
+	name: "KJNodesContextmenu",
+	async beforeRegisterNodeDef(nodeType, nodeData, app) {
+		if (nodeData.input && nodeData.input.required) {
+			addMenuHandler(nodeType, function (_, options) {
+				options.unshift(
+					{
+					content: "Add GetNode",
+					callback: () => {addNode("GetNode", this, { side:"left", offset: 30});}
+					},
+					{
+					content: "Add SetNode",
+					callback: () => {addNode("SetNode", this, { side:"right", offset: 30 });
+					},
+				});
+			});
+		}
+	},
+		async setup(app) {
+			const onChange = (value) => {
+				if (value) {
+					const valuesToAddToIn = ["GetNode"];
+					const valuesToAddToOut = ["SetNode"];
+			
+					for (const arr of Object.values(LiteGraph.slot_types_default_in)) {
+						for (const valueToAdd of valuesToAddToIn) {
+							const idx = arr.indexOf(valueToAdd);
+							if (idx !== 0) {
+								arr.splice(idx, 1);
+							}
+							arr.unshift(valueToAdd);
+						}
+					}
+			
+					for (const arr of Object.values(LiteGraph.slot_types_default_out)) {
+						for (const valueToAdd of valuesToAddToOut) {
+							const idx = arr.indexOf(valueToAdd);
+							if (idx !== 0) {
+								arr.splice(idx, 1);
+							}
+							arr.unshift(valueToAdd);
+						}
+					}
+				}
+			};
+			
+			app.ui.settings.addSetting({
+				id: "KJNodes.SetGetMenu",
+				name: "KJNodes: Make Set/Get -nodes defaults (turn off and reload to disable)",
+				defaultValue: false,
+				type: "boolean",
+				options: (value) => [
+					{
+						value: true,
+						text: "On",
+						selected: value === true,
+					},
+					{
+						value: false,
+						text: "Off",
+						selected: value === false,
+					},
+				],
+				onChange: onChange,
+				
+			});
+			app.ui.settings.addSetting({
+				id: "KJNodes.DisableMiddleClickDefault",
+				name: "KJNodes: Middle click default node adding",
+				defaultValue: false,
+				type: "boolean",
+				options: (value) => [
+					{ value: true, text: "On", selected: value === true },
+					{ value: false, text: "Off", selected: value === false },
+				],
+				onChange: (value) => {
+					LiteGraph.middle_click_slot_add_default_node = value;
+				},
+			});
+			app.ui.settings.addSetting({
+				id: "KJNodes.nodeAutoColor",
+				name: "KJNodes: Automatically set node colors",
+				defaultValue: true,
+				type: "boolean",
+				options: (value) => [
+					{ value: true, text: "On", selected: value === true },
+					{ value: false, text: "Off", selected: value === false },
+				],
+			});
+			app.ui.settings.addSetting({
+				id: "KJNodes.helpPopup",
+				name: "KJNodes: Help popups",
+				defaultValue: true,
+				type: "boolean",
+				options: (value) => [
+					{ value: true, text: "On", selected: value === true },
+					{ value: false, text: "Off", selected: value === false },
+				],
+			});
+			app.ui.settings.addSetting({
+				id: "KJNodes.disablePrefix",
+				name: "KJNodes: Disable automatic Set_ and Get_ prefix",
+				defaultValue: false,
+				type: "boolean",
+				options: (value) => [
+					{ value: true, text: "On", selected: value === true },
+					{ value: false, text: "Off", selected: value === false },
+				],
+			});
+			app.ui.settings.addSetting({
+				id: "KJNodes.browserStatus",
+				name: "KJNodes: 🟢 Stoplight browser status icon 🔴",
+				defaultValue: false,
+				type: "boolean",
+				options: (value) => [
+					{ value: true, text: "On", selected: value === true },
+					{ value: false, text: "Off", selected: value === false },
+				],
+			});
+}
+});
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/help_popup.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/help_popup.js
new file mode 100644
index 0000000000000000000000000000000000000000..c05907a3cbbc04406af90139fb7a05691d1b1eb0
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/help_popup.js
@@ -0,0 +1,326 @@
+import { app } from "../../../scripts/app.js";
+
+// code based on mtb nodes by Mel Massadian https://github.com/melMass/comfy_mtb/
+export const loadScript = (
+  FILE_URL,
+  async = true,
+  type = 'text/javascript',
+) => {
+  return new Promise((resolve, reject) => {
+    try {
+      // Check if the script already exists
+      const existingScript = document.querySelector(`script[src="${FILE_URL}"]`)
+      if (existingScript) {
+        resolve({ status: true, message: 'Script already loaded' })
+        return
+      }
+
+      const scriptEle = document.createElement('script')
+      scriptEle.type = type
+      scriptEle.async = async
+      scriptEle.src = FILE_URL
+
+      scriptEle.addEventListener('load', (ev) => {
+        resolve({ status: true })
+      })
+
+      scriptEle.addEventListener('error', (ev) => {
+        reject({
+          status: false,
+          message: `Failed to load the script ${FILE_URL}`,
+        })
+      })
+
+      document.body.appendChild(scriptEle)
+    } catch (error) {
+      reject(error)
+    }
+  })
+}
+
+loadScript('/kjweb_async/marked.min.js').catch((e) => {
+  console.log(e)
+})
+loadScript('/kjweb_async/purify.min.js').catch((e) => {
+  console.log(e)
+})
+
+const categories = ["KJNodes", "SUPIR", "VoiceCraft", "Marigold", "IC-Light"];
+app.registerExtension({
+	name: "KJNodes.HelpPopup",
+	async beforeRegisterNodeDef(nodeType, nodeData) {
+  
+  if (app.ui.settings.getSettingValue("KJNodes.helpPopup") === false) {
+    return;
+    }
+		try {
+			categories.forEach(category => {
+        if (nodeData?.category?.startsWith(category)) {
+            addDocumentation(nodeData, nodeType);
+        }
+        else return
+    });
+		} catch (error) {
+			console.error("Error in registering KJNodes.HelpPopup", error);
+		}
+	},
+});
+
+const create_documentation_stylesheet = () => {
+    const tag = 'kj-documentation-stylesheet'
+
+    let styleTag = document.head.querySelector(tag)
+
+    if (!styleTag) {
+      styleTag = document.createElement('style')
+      styleTag.type = 'text/css'
+      styleTag.id = tag
+      styleTag.innerHTML = `
+      .kj-documentation-popup {
+        background: var(--comfy-menu-bg);
+        position: absolute;
+        color: var(--fg-color);
+        font: 12px monospace;
+        line-height: 1.5em;
+        padding: 10px;
+        border-radius: 10px;
+        border-style: solid;
+        border-width: medium;
+        border-color: var(--border-color);
+        z-index: 5;
+        overflow: hidden;
+       }
+       .content-wrapper {
+        overflow: auto;
+        max-height: 100%;
+        /* Scrollbar styling for Chrome */
+        &::-webkit-scrollbar {
+           width: 6px;
+        }
+        &::-webkit-scrollbar-track {
+           background: var(--bg-color);
+        }
+        &::-webkit-scrollbar-thumb {
+           background-color: var(--fg-color);
+           border-radius: 6px;
+           border: 3px solid var(--bg-color);
+        }
+       
+        /* Scrollbar styling for Firefox */
+        scrollbar-width: thin;
+        scrollbar-color: var(--fg-color) var(--bg-color);
+        a {
+          color: yellow;
+        }
+        a:visited {
+          color: orange;
+        }
+        a:hover {
+          color: red;
+        }
+       }
+        `
+      document.head.appendChild(styleTag)
+    }
+  }
+
+  /** Add documentation widget to the selected node */
+  export const addDocumentation = (
+    nodeData,
+    nodeType,
+    opts = { icon_size: 14, icon_margin: 4 },) => {
+
+    opts = opts || {}
+    const iconSize = opts.icon_size ? opts.icon_size : 14
+    const iconMargin = opts.icon_margin ? opts.icon_margin : 4
+    let docElement = null
+    let contentWrapper = null
+    //if no description in the node python code, don't do anything
+    if (!nodeData.description) {
+      return
+    }
+
+    const drawFg = nodeType.prototype.onDrawForeground
+    nodeType.prototype.onDrawForeground = function (ctx) {
+      const r = drawFg ? drawFg.apply(this, arguments) : undefined
+      if (this.flags.collapsed) return r
+
+      // icon position
+      const x = this.size[0] - iconSize - iconMargin
+      
+      // create the popup
+      if (this.show_doc && docElement === null) {
+        docElement = document.createElement('div')
+        contentWrapper = document.createElement('div');
+        docElement.appendChild(contentWrapper);
+
+        create_documentation_stylesheet()
+        contentWrapper.classList.add('content-wrapper');
+        docElement.classList.add('kj-documentation-popup')
+        
+        //parse the string from the python node code to html with marked, and sanitize the html with DOMPurify
+        contentWrapper.innerHTML = DOMPurify.sanitize(marked.parse(nodeData.description,))
+
+        // resize handle
+        const resizeHandle = document.createElement('div');
+        resizeHandle.style.width = '0';
+        resizeHandle.style.height = '0';
+        resizeHandle.style.position = 'absolute';
+        resizeHandle.style.bottom = '0';
+        resizeHandle.style.right = '0';
+        resizeHandle.style.cursor = 'se-resize';
+        
+        // Add pseudo-elements to create a triangle shape
+        const borderColor = getComputedStyle(document.documentElement).getPropertyValue('--border-color').trim();
+        resizeHandle.style.borderTop = '10px solid transparent';
+        resizeHandle.style.borderLeft = '10px solid transparent';
+        resizeHandle.style.borderBottom = `10px solid ${borderColor}`;
+        resizeHandle.style.borderRight = `10px solid ${borderColor}`;
+
+        docElement.appendChild(resizeHandle)
+        let isResizing = false
+        let startX, startY, startWidth, startHeight
+
+        resizeHandle.addEventListener('mousedown', function (e) {
+          e.preventDefault();
+          e.stopPropagation();
+          isResizing = true;
+          startX = e.clientX;
+          startY = e.clientY;
+          startWidth = parseInt(document.defaultView.getComputedStyle(docElement).width, 10);
+          startHeight = parseInt(document.defaultView.getComputedStyle(docElement).height, 10);
+         },
+         { signal: this.docCtrl.signal },
+         );
+
+        // close button
+        const closeButton = document.createElement('div');
+        closeButton.textContent = '❌';
+        closeButton.style.position = 'absolute';
+        closeButton.style.top = '0';
+        closeButton.style.right = '0';
+        closeButton.style.cursor = 'pointer';
+        closeButton.style.padding = '5px';
+        closeButton.style.color = 'red';
+        closeButton.style.fontSize = '12px';
+
+        docElement.appendChild(closeButton)
+
+        closeButton.addEventListener('mousedown', (e) => {
+          e.stopPropagation();
+          this.show_doc = !this.show_doc
+          docElement.parentNode.removeChild(docElement)
+          docElement = null
+          if (contentWrapper) {
+            contentWrapper.remove()
+            contentWrapper = null
+          }
+         },
+         { signal: this.docCtrl.signal },
+         );
+         
+        document.addEventListener('mousemove', function (e) {
+          if (!isResizing) return;
+          const scale = app.canvas.ds.scale;
+          const newWidth = startWidth + (e.clientX - startX) / scale;
+          const newHeight = startHeight + (e.clientY - startY) / scale;;
+          docElement.style.width = `${newWidth}px`;
+          docElement.style.height = `${newHeight}px`;
+         },
+         { signal: this.docCtrl.signal },
+         );
+
+        document.addEventListener('mouseup', function () {
+          isResizing = false
+        },
+        { signal: this.docCtrl.signal },
+        )
+
+        document.body.appendChild(docElement)
+      }
+      // close the popup
+      else if (!this.show_doc && docElement !== null) {
+        docElement.parentNode.removeChild(docElement)
+        docElement = null
+      }
+      // update position of the popup
+      if (this.show_doc && docElement !== null) {
+        const rect = ctx.canvas.getBoundingClientRect()
+        const scaleX = rect.width / ctx.canvas.width
+        const scaleY = rect.height / ctx.canvas.height
+
+        const transform = new DOMMatrix()
+        .scaleSelf(scaleX, scaleY)
+        .multiplySelf(ctx.getTransform())
+        .translateSelf(this.size[0] * scaleX * Math.max(1.0,window.devicePixelRatio) , 0)
+        .translateSelf(10, -32)
+        
+        const scale = new DOMMatrix()
+        .scaleSelf(transform.a, transform.d);
+        const bcr = app.canvas.canvas.getBoundingClientRect()
+
+        const styleObject = {
+          transformOrigin: '0 0',
+          transform: scale,
+          left: `${transform.a + bcr.x + transform.e}px`,
+          top: `${transform.d + bcr.y + transform.f}px`,
+         };
+        Object.assign(docElement.style, styleObject);
+      }
+
+      ctx.save()
+      ctx.translate(x - 2, iconSize - 34)
+      ctx.scale(iconSize / 32, iconSize / 32)
+      ctx.strokeStyle = 'rgba(255,255,255,0.3)'
+      ctx.lineCap = 'round'
+      ctx.lineJoin = 'round'
+      ctx.lineWidth = 2.4
+      ctx.font = 'bold 36px monospace'
+      ctx.fillStyle = 'orange';
+      ctx.fillText('?', 0, 24)
+      ctx.restore()
+      return r
+    }
+    // handle clicking of the icon
+    const mouseDown = nodeType.prototype.onMouseDown
+    nodeType.prototype.onMouseDown = function (e, localPos, canvas) {
+      const r = mouseDown ? mouseDown.apply(this, arguments) : undefined
+      const iconX = this.size[0] - iconSize - iconMargin
+      const iconY = iconSize - 34
+      if (
+        localPos[0] > iconX &&
+        localPos[0] < iconX + iconSize &&
+        localPos[1] > iconY &&
+        localPos[1] < iconY + iconSize
+      ) {
+        if (this.show_doc === undefined) {
+          this.show_doc = true
+        } else {
+          this.show_doc = !this.show_doc
+        }
+        if (this.show_doc) {
+          this.docCtrl = new AbortController()
+        } else {
+          this.docCtrl.abort()
+        }
+        return true;
+      }
+      return r;
+    }
+    const onRem = nodeType.prototype.onRemoved
+
+    nodeType.prototype.onRemoved = function () {
+      const r = onRem ? onRem.apply(this, []) : undefined
+  
+      if (docElement) {
+        docElement.remove()
+        docElement = null
+      }
+  
+      if (contentWrapper) {
+        contentWrapper.remove()
+        contentWrapper = null
+      }
+      return r
+    }
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/jsnodes.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/jsnodes.js
new file mode 100644
index 0000000000000000000000000000000000000000..aa71369c6e9970146c46bbf08df0f7402c2a6bed
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/jsnodes.js
@@ -0,0 +1,354 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+	name: "KJNodes.jsnodes",
+	async beforeRegisterNodeDef(nodeType, nodeData, app) {
+		if(!nodeData?.category?.startsWith("KJNodes")) {
+			return;
+		  }
+		switch (nodeData.name) {
+			case "ConditioningMultiCombine":
+				nodeType.prototype.onNodeCreated = function () {
+				this.cond_type = "CONDITIONING"
+				this.inputs_offset = nodeData.name.includes("selective")?1:0
+				this.addWidget("button", "Update inputs", null, () => {
+					if (!this.inputs) {
+						this.inputs = [];
+					}
+					const target_number_of_inputs = this.widgets.find(w => w.name === "inputcount")["value"];
+					    if(target_number_of_inputs===this.inputs.length)return; // already set, do nothing
+
+					    if(target_number_of_inputs < this.inputs.length){
+    						for(let i = this.inputs.length; i>=this.inputs_offset+target_number_of_inputs; i--)
+							      this.removeInput(i)
+					    }
+                        else{
+						    for(let i = this.inputs.length+1-this.inputs_offset; i <= target_number_of_inputs; ++i)
+						    	this.addInput(`conditioning_${i}`, this.cond_type)
+                        }
+					});
+				}
+				break;
+			case "ImageBatchMulti":
+			case "ImageAddMulti":
+			case "ImageConcatMulti":
+				nodeType.prototype.onNodeCreated = function () {
+				this._type = "IMAGE"
+				this.inputs_offset = nodeData.name.includes("selective")?1:0
+				this.addWidget("button", "Update inputs", null, () => {
+					if (!this.inputs) {
+						this.inputs = [];
+					}
+					const target_number_of_inputs = this.widgets.find(w => w.name === "inputcount")["value"];
+						if(target_number_of_inputs===this.inputs.length)return; // already set, do nothing
+
+						if(target_number_of_inputs < this.inputs.length){
+							for(let i = this.inputs.length; i>=this.inputs_offset+target_number_of_inputs; i--)
+									this.removeInput(i)
+						}
+						else{
+							for(let i = this.inputs.length+1-this.inputs_offset; i <= target_number_of_inputs; ++i)
+								this.addInput(`image_${i}`, this._type)
+						}
+					});
+				}
+				break;
+			case "MaskBatchMulti":
+				nodeType.prototype.onNodeCreated = function () {
+				this._type = "MASK"
+				this.inputs_offset = nodeData.name.includes("selective")?1:0
+				this.addWidget("button", "Update inputs", null, () => {
+					if (!this.inputs) {
+						this.inputs = [];
+					}
+					const target_number_of_inputs = this.widgets.find(w => w.name === "inputcount")["value"];
+						if(target_number_of_inputs===this.inputs.length)return; // already set, do nothing
+
+						if(target_number_of_inputs < this.inputs.length){
+							for(let i = this.inputs.length; i>=this.inputs_offset+target_number_of_inputs; i--)
+									this.removeInput(i)
+						}
+						else{
+							for(let i = this.inputs.length+1-this.inputs_offset; i <= target_number_of_inputs; ++i)
+								this.addInput(`mask_${i}`, this._type)
+							}
+						});
+					}
+					break;
+			
+			case "FluxBlockLoraSelect":
+				nodeType.prototype.onNodeCreated = function () {
+					this.addWidget("button", "Set all", null, () => {
+						const userInput = prompt("Enter the values to set for widgets (e.g., s0,1,2-7=2.0, d0,1,2-7=2.0, or 1.0):", "");
+						if (userInput) {
+							const regex = /([sd])?(\d+(?:,\d+|-?\d+)*?)?=(\d+(\.\d+)?)/;
+							const match = userInput.match(regex);
+							if (match) {
+								const type = match[1];
+								const indicesPart = match[2];
+								const value = parseFloat(match[3]);
+			
+								let targetWidgets = [];
+								if (type === 's') {
+									targetWidgets = this.widgets.filter(widget => widget.name.includes("single"));
+								} else if (type === 'd') {
+									targetWidgets = this.widgets.filter(widget => widget.name.includes("double"));
+								} else {
+									targetWidgets = this.widgets; // No type specified, all widgets
+								}
+			
+								if (indicesPart) {
+									const indices = indicesPart.split(',').flatMap(part => {
+										if (part.includes('-')) {
+											const [start, end] = part.split('-').map(Number);
+											return Array.from({ length: end - start + 1 }, (_, i) => start + i);
+										}
+										return Number(part);
+									});
+			
+									for (const index of indices) {
+										if (index < targetWidgets.length) {
+											targetWidgets[index].value = value;
+										}
+									}
+								} else {
+									// No indices provided, set value for all target widgets
+									for (const widget of targetWidgets) {
+										widget.value = value;
+									}
+								}
+							} else if (!isNaN(parseFloat(userInput))) {
+								// Single value provided, set it for all widgets
+								const value = parseFloat(userInput);
+								for (const widget of this.widgets) {
+									widget.value = value;
+								}
+							} else {
+								alert("Invalid input format. Please use the format s0,1,2-7=2.0, d0,1,2-7=2.0, or 1.0");
+							}
+						} else {
+							alert("Invalid input. Please enter a value.");
+						}
+					});
+				};
+				break;
+
+			case "GetMaskSizeAndCount":
+				const onGetMaskSizeConnectInput = nodeType.prototype.onConnectInput;
+				nodeType.prototype.onConnectInput = function (targetSlot, type, output, originNode, originSlot) {
+					const v = onGetMaskSizeConnectInput? onGetMaskSizeConnectInput.apply(this, arguments): undefined
+					this.outputs[1]["name"] = "width"
+					this.outputs[2]["name"] = "height" 
+					this.outputs[3]["name"] = "count"
+					return v;
+				}
+				const onGetMaskSizeExecuted = nodeType.prototype.onExecuted;
+				nodeType.prototype.onExecuted = function(message) {
+					const r = onGetMaskSizeExecuted? onGetMaskSizeExecuted.apply(this,arguments): undefined
+					let values = message["text"].toString().split('x').map(Number);
+					this.outputs[1]["name"] = values[1] + " width"
+					this.outputs[2]["name"] = values[2] + " height" 
+					this.outputs[3]["name"] = values[0] + " count" 
+					return r
+				}
+				break;
+			
+			case "GetImageSizeAndCount":
+				const onGetImageSizeConnectInput = nodeType.prototype.onConnectInput;
+				nodeType.prototype.onConnectInput = function (targetSlot, type, output, originNode, originSlot) {
+					const v = onGetImageSizeConnectInput? onGetImageSizeConnectInput.apply(this, arguments): undefined
+					this.outputs[1]["name"] = "width"
+					this.outputs[2]["name"] = "height" 
+					this.outputs[3]["name"] = "count"
+					return v;
+				}
+				const onGetImageSizeExecuted = nodeType.prototype.onExecuted;
+				nodeType.prototype.onExecuted = function(message) {
+					const r = onGetImageSizeExecuted? onGetImageSizeExecuted.apply(this,arguments): undefined
+					let values = message["text"].toString().split('x').map(Number);
+					this.outputs[1]["name"] = values[1] + " width"
+					this.outputs[2]["name"] = values[2] + " height" 
+					this.outputs[3]["name"] = values[0] + " count" 
+					return r
+				}
+				break;
+
+			case "PreviewAnimation":
+				const onPreviewAnimationConnectInput = nodeType.prototype.onConnectInput;
+				nodeType.prototype.onConnectInput = function (targetSlot, type, output, originNode, originSlot) {
+					const v = onPreviewAnimationConnectInput? onPreviewAnimationConnectInput.apply(this, arguments): undefined
+					this.title = "Preview Animation"
+					return v;
+				}
+				const onPreviewAnimationExecuted = nodeType.prototype.onExecuted;
+				nodeType.prototype.onExecuted = function(message) {
+					const r = onPreviewAnimationExecuted? onPreviewAnimationExecuted.apply(this,arguments): undefined
+					let values = message["text"].toString();
+					this.title = "Preview Animation " + values
+					return r
+				}
+				break;
+
+			case "VRAM_Debug":
+				const onVRAM_DebugConnectInput = nodeType.prototype.onConnectInput;
+				nodeType.prototype.onConnectInput = function (targetSlot, type, output, originNode, originSlot) {
+					const v = onVRAM_DebugConnectInput? onVRAM_DebugConnectInput.apply(this, arguments): undefined
+					this.outputs[3]["name"] = "freemem_before"
+					this.outputs[4]["name"] = "freemem_after" 
+					return v;
+				}
+				const onVRAM_DebugExecuted = nodeType.prototype.onExecuted;
+				nodeType.prototype.onExecuted = function(message) {
+					const r = onVRAM_DebugExecuted? onVRAM_DebugExecuted.apply(this,arguments): undefined
+					let values = message["text"].toString().split('x');
+					this.outputs[3]["name"] = values[0] + "   freemem_before"
+					this.outputs[4]["name"] = values[1] + "      freemem_after" 
+					return r
+				}
+				break;
+
+			case "JoinStringMulti":
+				const originalOnNodeCreated = nodeType.prototype.onNodeCreated || function() {};
+				nodeType.prototype.onNodeCreated = function () {
+					originalOnNodeCreated.apply(this, arguments);
+			
+					this._type = "STRING";
+					this.inputs_offset = nodeData.name.includes("selective") ? 1 : 0;
+					this.addWidget("button", "Update inputs", null, () => {
+						if (!this.inputs) {
+							this.inputs = [];
+						}
+						const target_number_of_inputs = this.widgets.find(w => w.name === "inputcount")["value"];
+						if (target_number_of_inputs === this.inputs.length) return; // already set, do nothing
+			
+						if (target_number_of_inputs < this.inputs.length) {
+							for (let i = this.inputs.length; i >= this.inputs_offset + target_number_of_inputs; i--)
+								this.removeInput(i);
+						} else {
+							for (let i = this.inputs.length + 1 - this.inputs_offset; i <= target_number_of_inputs; ++i)
+								this.addInput(`string_${i}`, this._type);
+						}
+					});
+				}
+				break;
+			case "SoundReactive":
+				nodeType.prototype.onNodeCreated = function () {
+					let audioContext;
+					let microphoneStream;
+					let animationFrameId;
+					let analyser;
+					let dataArray;
+					let startRangeHz;
+    				let endRangeHz;
+					let smoothingFactor = 0.5;
+					let smoothedSoundLevel = 0;
+				
+					// Function to update the widget value in real-time
+					const updateWidgetValueInRealTime = () => {
+						// Ensure analyser and dataArray are defined before using them
+						if (analyser && dataArray) {
+							analyser.getByteFrequencyData(dataArray);
+
+							const startRangeHzWidget = this.widgets.find(w => w.name === "start_range_hz");
+							if (startRangeHzWidget) startRangeHz = startRangeHzWidget.value;
+							const endRangeHzWidget = this.widgets.find(w => w.name === "end_range_hz");
+							if (endRangeHzWidget) endRangeHz = endRangeHzWidget.value;
+							const smoothingFactorWidget = this.widgets.find(w => w.name === "smoothing_factor");
+							if (smoothingFactorWidget) smoothingFactor = smoothingFactorWidget.value;
+
+							// Calculate frequency bin width (frequency resolution)
+							const frequencyBinWidth = audioContext.sampleRate / analyser.fftSize;	
+							// Convert the widget values from Hz to indices
+							const startRangeIndex = Math.floor(startRangeHz / frequencyBinWidth);
+							const endRangeIndex = Math.floor(endRangeHz / frequencyBinWidth);
+
+							// Function to calculate the average value for a frequency range
+							const calculateAverage = (start, end) => {
+								const sum = dataArray.slice(start, end).reduce((acc, val) => acc + val, 0);
+								const average = sum / (end - start);
+
+								// Apply exponential moving average smoothing
+    							smoothedSoundLevel = (average * (1 - smoothingFactor)) + (smoothedSoundLevel * smoothingFactor);
+								return smoothedSoundLevel;
+							};
+							// Calculate the average levels for each frequency range
+							const soundLevel = calculateAverage(startRangeIndex, endRangeIndex);
+							
+							// Update the widget values
+
+							const lowLevelWidget = this.widgets.find(w => w.name === "sound_level");
+							if (lowLevelWidget) lowLevelWidget.value = soundLevel;
+
+							animationFrameId = requestAnimationFrame(updateWidgetValueInRealTime);
+						}
+					};
+				
+					// Function to start capturing audio from the microphone
+					const startMicrophoneCapture = () => {
+						// Only create the audio context and analyser once
+						if (!audioContext) {
+							audioContext = new (window.AudioContext || window.webkitAudioContext)();
+							// Access the sample rate of the audio context
+							console.log(`Sample rate: ${audioContext.sampleRate}Hz`);
+							analyser = audioContext.createAnalyser();
+							analyser.fftSize = 2048;
+							dataArray = new Uint8Array(analyser.frequencyBinCount);
+							// Get the range values from widgets (assumed to be in Hz)
+							const lowRangeWidget = this.widgets.find(w => w.name === "low_range_hz");
+							if (lowRangeWidget) startRangeHz = lowRangeWidget.value;
+				
+							const midRangeWidget = this.widgets.find(w => w.name === "mid_range_hz");
+							if (midRangeWidget) endRangeHz = midRangeWidget.value;
+						}
+						
+						navigator.mediaDevices.getUserMedia({ audio: true }).then(stream => {
+							microphoneStream = stream;
+							const microphone = audioContext.createMediaStreamSource(stream);
+							microphone.connect(analyser);
+							updateWidgetValueInRealTime();
+						}).catch(error => {
+							console.error('Access to microphone was denied or an error occurred:', error);
+						});
+					};
+				
+					// Function to stop capturing audio from the microphone
+					const stopMicrophoneCapture = () => {
+						if (animationFrameId) {
+							cancelAnimationFrame(animationFrameId);
+						}
+						if (microphoneStream) {
+							microphoneStream.getTracks().forEach(track => track.stop());
+						}
+						if (audioContext) {
+							audioContext.close();
+							// Reset audioContext to ensure it can be created again when starting
+							audioContext = null;
+						}
+					};
+				
+					// Add start button
+					this.addWidget("button", "Start mic capture", null, startMicrophoneCapture);
+				
+					// Add stop button
+					this.addWidget("button", "Stop mic capture", null, stopMicrophoneCapture);
+				};
+			break;
+			
+		}	
+		
+	},
+	async setup() {
+		// to keep Set/Get node virtual connections visible when offscreen
+		const originalComputeVisibleNodes = LGraphCanvas.prototype.computeVisibleNodes;
+		LGraphCanvas.prototype.computeVisibleNodes = function () {
+			const visibleNodesSet = new Set(originalComputeVisibleNodes.apply(this, arguments));
+			for (const node of this.graph._nodes) {
+				if ((node.type === "SetNode" || node.type === "GetNode") && node.drawConnection) {
+					visibleNodesSet.add(node);
+				}
+			}
+			return Array.from(visibleNodesSet);
+		};
+
+	}
+});
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/point_editor.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/point_editor.js
new file mode 100644
index 0000000000000000000000000000000000000000..210591fa51d660296e28e29e37183757eaee05bb
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/point_editor.js
@@ -0,0 +1,736 @@
+import { app } from '../../../scripts/app.js'
+
+//from melmass
+export function makeUUID() {
+  let dt = new Date().getTime()
+  const uuid = 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, (c) => {
+    const r = ((dt + Math.random() * 16) % 16) | 0
+    dt = Math.floor(dt / 16)
+    return (c === 'x' ? r : (r & 0x3) | 0x8).toString(16)
+  })
+  return uuid
+}
+
+export const loadScript = (
+  FILE_URL,
+  async = true,
+  type = 'text/javascript',
+) => {
+  return new Promise((resolve, reject) => {
+    try {
+      // Check if the script already exists
+      const existingScript = document.querySelector(`script[src="${FILE_URL}"]`)
+      if (existingScript) {
+        resolve({ status: true, message: 'Script already loaded' })
+        return
+      }
+
+      const scriptEle = document.createElement('script')
+      scriptEle.type = type
+      scriptEle.async = async
+      scriptEle.src = FILE_URL
+
+      scriptEle.addEventListener('load', (ev) => {
+        resolve({ status: true })
+      })
+
+      scriptEle.addEventListener('error', (ev) => {
+        reject({
+          status: false,
+          message: `Failed to load the script ${FILE_URL}`,
+        })
+      })
+
+      document.body.appendChild(scriptEle)
+    } catch (error) {
+      reject(error)
+    }
+  })
+}
+const create_documentation_stylesheet = () => {
+  const tag = 'kj-pointseditor-stylesheet'
+
+  let styleTag = document.head.querySelector(tag)
+
+  if (!styleTag) {
+    styleTag = document.createElement('style')
+    styleTag.type = 'text/css'
+    styleTag.id = tag
+    styleTag.innerHTML = `
+       .points-editor {
+
+        position: absolute;
+
+        font: 12px monospace;
+        line-height: 1.5em;
+        padding: 10px;
+        z-index: 0;
+        overflow: hidden;
+       }
+        `
+    document.head.appendChild(styleTag)
+  }
+}
+
+loadScript('/kjweb_async/svg-path-properties.min.js').catch((e) => {
+  console.log(e)
+})
+loadScript('/kjweb_async/protovis.min.js').catch((e) => {
+  console.log(e)
+})
+create_documentation_stylesheet()
+
+function chainCallback(object, property, callback) {
+  if (object == undefined) {
+    //This should not happen.
+    console.error("Tried to add callback to non-existant object")
+    return;
+  }
+  if (property in object) {
+    const callback_orig = object[property]
+    object[property] = function () {
+      const r = callback_orig.apply(this, arguments);
+      callback.apply(this, arguments);
+      return r
+    };
+  } else {
+    object[property] = callback;
+  }
+}
+app.registerExtension({
+  name: 'KJNodes.PointEditor',
+
+  async beforeRegisterNodeDef(nodeType, nodeData) {
+    if (nodeData?.name === 'PointsEditor') {
+      chainCallback(nodeType.prototype, "onNodeCreated", function () {
+
+        hideWidgetForGood(this, this.widgets.find(w => w.name === "coordinates"))
+        hideWidgetForGood(this, this.widgets.find(w => w.name === "neg_coordinates"))
+        hideWidgetForGood(this, this.widgets.find(w => w.name === "bboxes"))
+
+        var element = document.createElement("div");
+        this.uuid = makeUUID()
+        element.id = `points-editor-${this.uuid}`
+
+        // fake image widget to allow copy/paste
+        const fakeimagewidget = this.addWidget("COMBO", "image", null, () => { }, {});
+        hideWidgetForGood(this, fakeimagewidget)
+
+        this.pointsEditor = this.addDOMWidget(nodeData.name, "PointsEditorWidget", element, {
+          serialize: false,
+          hideOnZoom: false,
+        });
+
+        // context menu
+        this.contextMenu = document.createElement("div");
+        this.contextMenu.id = "context-menu";
+        this.contextMenu.style.display = "none";
+        this.contextMenu.style.position = "absolute";
+        this.contextMenu.style.backgroundColor = "#202020";
+        this.contextMenu.style.minWidth = "100px";
+        this.contextMenu.style.boxShadow = "0px 8px 16px 0px rgba(0,0,0,0.2)";
+        this.contextMenu.style.zIndex = "100";
+        this.contextMenu.style.padding = "5px";
+
+        function styleMenuItem(menuItem) {
+          menuItem.style.display = "block";
+          menuItem.style.padding = "5px";
+          menuItem.style.color = "#FFF";
+          menuItem.style.fontFamily = "Arial, sans-serif";
+          menuItem.style.fontSize = "16px";
+          menuItem.style.textDecoration = "none";
+          menuItem.style.marginBottom = "5px";
+        }
+        function createMenuItem(id, textContent) {
+          let menuItem = document.createElement("a");
+          menuItem.href = "#";
+          menuItem.id = `menu-item-${id}`;
+          menuItem.textContent = textContent;
+          styleMenuItem(menuItem);
+          return menuItem;
+        }
+
+        // Create an array of menu items using the createMenuItem function
+        this.menuItems = [
+          createMenuItem(0, "Load Image"),
+          createMenuItem(1, "Clear Image"),
+        ];
+
+        // Add mouseover and mouseout event listeners to each menu item for styling
+        this.menuItems.forEach(menuItem => {
+          menuItem.addEventListener('mouseover', function () {
+            this.style.backgroundColor = "gray";
+          });
+
+          menuItem.addEventListener('mouseout', function () {
+            this.style.backgroundColor = "#202020";
+          });
+        });
+
+        // Append each menu item to the context menu
+        this.menuItems.forEach(menuItem => {
+          this.contextMenu.appendChild(menuItem);
+        });
+
+        document.body.appendChild(this.contextMenu);
+
+        this.addWidget("button", "New canvas", null, () => {
+          if (!this.properties || !("points" in this.properties)) {
+            this.editor = new PointsEditor(this);
+            this.addProperty("points", this.constructor.type, "string");
+            this.addProperty("neg_points", this.constructor.type, "string");
+
+          }
+          else {
+            this.editor = new PointsEditor(this, true);
+          }
+        });
+
+        this.setSize([550, 550]);
+        this.resizable = false;
+        this.pointsEditor.parentEl = document.createElement("div");
+        this.pointsEditor.parentEl.className = "points-editor";
+        this.pointsEditor.parentEl.id = `points-editor-${this.uuid}`
+        element.appendChild(this.pointsEditor.parentEl);
+
+        chainCallback(this, "onConfigure", function () {
+          try {
+            this.editor = new PointsEditor(this);
+          } catch (error) {
+            console.error("An error occurred while configuring the editor:", error);
+          }
+        });
+        chainCallback(this, "onExecuted", function (message) {
+          let bg_image = message["bg_image"];
+          this.properties.imgData = {
+            name: "bg_image",
+            base64: bg_image
+          };
+          this.editor.refreshBackgroundImage(this);
+        });
+
+      }); // onAfterGraphConfigured
+    }//node created
+  } //before register
+})//register
+
+class PointsEditor {
+  constructor(context, reset = false) {
+    this.node = context;
+    this.reset = reset;
+    const self = this; // Keep a reference to the main class context
+
+    console.log("creatingPointEditor")
+
+    this.node.pasteFile = (file) => {
+      if (file.type.startsWith("image/")) {
+        this.handleImageFile(file);
+        return true;
+      }
+      return false;
+    };
+
+    this.node.onDragOver = function (e) {
+      if (e.dataTransfer && e.dataTransfer.items) {
+        return [...e.dataTransfer.items].some(f => f.kind === "file" && f.type.startsWith("image/"));
+      }
+      return false;
+    };
+
+    // On drop upload files
+    this.node.onDragDrop = (e) => {
+      console.log("onDragDrop called");
+      let handled = false;
+      for (const file of e.dataTransfer.files) {
+        if (file.type.startsWith("image/")) {
+          this.handleImageFile(file);
+          handled = true;
+        }
+      }
+      return handled;
+    };
+
+    // context menu
+    this.createContextMenu();
+
+    if (reset && context.pointsEditor.element) {
+      context.pointsEditor.element.innerHTML = ''; // Clear the container
+    }
+    this.pos_coordWidget = context.widgets.find(w => w.name === "coordinates");
+    this.neg_coordWidget = context.widgets.find(w => w.name === "neg_coordinates");
+    this.pointsStoreWidget = context.widgets.find(w => w.name === "points_store");
+    this.widthWidget = context.widgets.find(w => w.name === "width");
+    this.heightWidget = context.widgets.find(w => w.name === "height");
+    this.bboxStoreWidget = context.widgets.find(w => w.name === "bbox_store");
+    this.bboxWidget = context.widgets.find(w => w.name === "bboxes");
+
+    //widget callbacks
+    this.widthWidget.callback = () => {
+      this.width = this.widthWidget.value;
+      if (this.width > 256) {
+        context.setSize([this.width + 45, context.size[1]]);
+      }
+      this.vis.width(this.width);
+      this.updateData();
+    }
+    this.heightWidget.callback = () => {
+      this.height = this.heightWidget.value
+      this.vis.height(this.height)
+      context.setSize([context.size[0], this.height + 300]);
+      this.updateData();
+    }
+    this.pointsStoreWidget.callback = () => {
+      this.points = JSON.parse(pointsStoreWidget.value).positive;
+      this.neg_points = JSON.parse(pointsStoreWidget.value).negative;
+      this.updateData();
+    }
+    this.bboxStoreWidget.callback = () => {
+      this.bbox = JSON.parse(bboxStoreWidget.value)
+      this.updateData();
+    }
+
+    this.width = this.widthWidget.value;
+    this.height = this.heightWidget.value;
+    var i = 3;
+    this.points = [];
+    this.neg_points = [];
+    this.bbox = [{}];
+    var drawing = false;
+
+    // Initialize or reset points array
+    if (!reset && this.pointsStoreWidget.value != "") {
+      this.points = JSON.parse(this.pointsStoreWidget.value).positive;
+      this.neg_points = JSON.parse(this.pointsStoreWidget.value).negative;
+      this.bbox = JSON.parse(this.bboxStoreWidget.value);
+      console.log(this.bbox)
+    } else {
+      this.points = [
+        {
+          x: this.width / 2, // Middle point horizontally centered
+          y: this.height / 2 // Middle point vertically centered
+        }
+      ];
+      this.neg_points = [
+        {
+          x: 0, // Middle point horizontally centered
+          y: 0 // Middle point vertically centered
+        }
+      ];
+      const combinedPoints = {
+        positive: this.points,
+        negative: this.neg_points,
+      };
+      this.pointsStoreWidget.value = JSON.stringify(combinedPoints);
+      this.bboxStoreWidget.value = JSON.stringify(this.bbox);
+    }
+
+    //create main canvas panel
+    this.vis = new pv.Panel()
+      .width(this.width)
+      .height(this.height)
+      .fillStyle("#222")
+      .strokeStyle("gray")
+      .lineWidth(2)
+      .antialias(false)
+      .margin(10)
+      .event("mousedown", function () { 
+        if (pv.event.shiftKey && pv.event.button === 2) { // Use pv.event to access the event object
+          let scaledMouse = {
+            x: this.mouse().x / app.canvas.ds.scale,
+            y: this.mouse().y / app.canvas.ds.scale
+          };
+          i = self.neg_points.push(scaledMouse) - 1;
+          self.updateData();
+          return this;
+        }
+        else if (pv.event.shiftKey) {
+          let scaledMouse = {
+            x: this.mouse().x / app.canvas.ds.scale,
+            y: this.mouse().y / app.canvas.ds.scale
+          };
+          i = self.points.push(scaledMouse) - 1;
+          self.updateData();
+          return this;
+        }
+        else if (pv.event.ctrlKey) {
+          console.log("start drawing at " + this.mouse().x / app.canvas.ds.scale + ", " + this.mouse().y / app.canvas.ds.scale);
+          drawing = true;
+          self.bbox[0].startX = this.mouse().x / app.canvas.ds.scale;
+          self.bbox[0].startY = this.mouse().y / app.canvas.ds.scale;
+        }
+        else if (pv.event.button === 2) {
+          self.node.contextMenu.style.display = 'block';
+          self.node.contextMenu.style.left = `${pv.event.clientX}px`;
+          self.node.contextMenu.style.top = `${pv.event.clientY}px`;
+        }
+      })
+      .event("mousemove", function () {
+        if (drawing) {
+          self.bbox[0].endX = this.mouse().x / app.canvas.ds.scale;
+          self.bbox[0].endY = this.mouse().y / app.canvas.ds.scale;
+          self.vis.render();
+        }
+      })
+      .event("mouseup", function () {
+        console.log("end drawing at " + this.mouse().x / app.canvas.ds.scale + ", " + this.mouse().y / app.canvas.ds.scale);
+        drawing = false;
+        self.updateData();
+      });
+
+    this.backgroundImage = this.vis.add(pv.Image).visible(false)
+    
+    //create bounding box
+    this.bounding_box = this.vis.add(pv.Area)
+      .data(function () {
+        if (drawing || (self.bbox && self.bbox[0] && Object.keys(self.bbox[0]).length > 0)) {
+          return [self.bbox[0].startX, self.bbox[0].endX];
+        } else {
+          return [];
+        }
+      })
+      .bottom(function () {return self.height - Math.max(self.bbox[0].startY, self.bbox[0].endY); })
+      .left(function (d) {return d; })
+      .height(function () {return Math.abs(self.bbox[0].startY - self.bbox[0].endY);})
+      .fillStyle("rgba(70, 130, 180, 0.5)")
+      .strokeStyle("steelblue")
+      .visible(function () {return drawing || Object.keys(self.bbox[0]).length > 0; })
+      .add(pv.Dot)
+        .visible(function () {return drawing || Object.keys(self.bbox[0]).length > 0; })
+        .data(() => {
+          if (self.bbox && Object.keys(self.bbox[0]).length > 0) {
+            return [{
+              x: self.bbox[0].endX,
+              y: self.bbox[0].endY
+            }];
+          } else {
+            return [];
+          }
+        })
+        .left(d => d.x)
+        .top(d => d.y)
+        .radius(Math.log(Math.min(self.width, self.height)) * 1)
+        .shape("square")
+        .cursor("move")
+        .strokeStyle("steelblue")
+        .lineWidth(2)
+        .fillStyle(function () { return "rgba(100, 100, 100, 0.6)"; })
+        .event("mousedown", pv.Behavior.drag())
+        .event("drag", function () {
+          let adjustedX = this.mouse().x / app.canvas.ds.scale; // Adjust the new position by the inverse of the scale factor
+          let adjustedY = this.mouse().y / app.canvas.ds.scale; 
+
+          // Adjust the new position if it would place the dot outside the bounds of the vis.Panel
+          adjustedX = Math.max(0, Math.min(self.vis.width(), adjustedX));
+          adjustedY = Math.max(0, Math.min(self.vis.height(), adjustedY));
+          self.bbox[0].endX = this.mouse().x / app.canvas.ds.scale;
+          self.bbox[0].endY = this.mouse().y / app.canvas.ds.scale;
+          self.vis.render();
+        })
+        .event("dragend", function () {
+          self.updateData();
+        });
+
+    //create positive points
+    this.vis.add(pv.Dot)
+      .data(() => this.points)
+      .left(d => d.x)
+      .top(d => d.y)
+      .radius(Math.log(Math.min(self.width, self.height)) * 4)
+      .shape("circle")
+      .cursor("move")
+      .strokeStyle(function () { return i == this.index ? "#07f907" : "#139613"; })
+      .lineWidth(4)
+      .fillStyle(function () { return "rgba(100, 100, 100, 0.6)"; })
+      .event("mousedown", pv.Behavior.drag())
+      .event("dragstart", function () {
+        i = this.index;
+      })
+      .event("dragend", function () {
+        if (pv.event.button === 2 && i !== 0 && i !== self.points.length - 1) {
+          this.index = i;
+          self.points.splice(i--, 1);
+        }
+        self.updateData();
+
+      })
+      .event("drag", function () {
+        let adjustedX = this.mouse().x / app.canvas.ds.scale; // Adjust the new X position by the inverse of the scale factor
+        let adjustedY = this.mouse().y / app.canvas.ds.scale; // Adjust the new Y position by the inverse of the scale factor
+        // Determine the bounds of the vis.Panel
+        const panelWidth = self.vis.width();
+        const panelHeight = self.vis.height();
+
+        // Adjust the new position if it would place the dot outside the bounds of the vis.Panel
+        adjustedX = Math.max(0, Math.min(panelWidth, adjustedX));
+        adjustedY = Math.max(0, Math.min(panelHeight, adjustedY));
+        self.points[this.index] = { x: adjustedX, y: adjustedY }; // Update the point's position
+        self.vis.render(); // Re-render the visualization to reflect the new position
+      })
+
+      .anchor("center")
+      .add(pv.Label)
+      .left(d => d.x < this.width / 2 ? d.x + 30 : d.x - 35) // Shift label to right if on left half, otherwise shift to left
+      .top(d => d.y < this.height / 2 ? d.y + 25 : d.y - 25)  // Shift label down if on top half, otherwise shift up
+      .font(25 + "px sans-serif")
+      .text(d => {return this.points.indexOf(d); })
+      .textStyle("#139613")
+      .textShadow("2px 2px 2px black")
+      .add(pv.Dot) // Add smaller point in the center
+      .data(() => this.points)
+        .left(d => d.x)
+        .top(d => d.y)
+        .radius(2)  // Smaller radius for the center point
+        .shape("circle")
+        .fillStyle("red")  // Color for the center point
+        .lineWidth(1);  // Stroke thickness for the center point
+
+    //create negative points
+    this.vis.add(pv.Dot)
+      .data(() => this.neg_points)
+      .left(d => d.x)
+      .top(d => d.y)
+      .radius(Math.log(Math.min(self.width, self.height)) * 4)
+      .shape("circle")
+      .cursor("move")
+      .strokeStyle(function () { return i == this.index ? "#f91111" : "#891616"; })
+      .lineWidth(4)
+      .fillStyle(function () { return "rgba(100, 100, 100, 0.6)"; })
+      .event("mousedown", pv.Behavior.drag())
+      .event("dragstart", function () {
+        i = this.index;
+      })
+      .event("dragend", function () {
+        if (pv.event.button === 2 && i !== 0 && i !== self.neg_points.length - 1) {
+          this.index = i;
+          self.neg_points.splice(i--, 1);
+        }
+        self.updateData();
+
+      })
+      .event("drag", function () {
+        let adjustedX = this.mouse().x / app.canvas.ds.scale; // Adjust the new X position by the inverse of the scale factor
+        let adjustedY = this.mouse().y / app.canvas.ds.scale; // Adjust the new Y position by the inverse of the scale factor
+        // Determine the bounds of the vis.Panel
+        const panelWidth = self.vis.width();
+        const panelHeight = self.vis.height();
+
+        // Adjust the new position if it would place the dot outside the bounds of the vis.Panel
+        adjustedX = Math.max(0, Math.min(panelWidth, adjustedX));
+        adjustedY = Math.max(0, Math.min(panelHeight, adjustedY));
+        self.neg_points[this.index] = { x: adjustedX, y: adjustedY }; // Update the point's position
+        self.vis.render(); // Re-render the visualization to reflect the new position
+      })
+      .anchor("center")
+      .add(pv.Label)
+        .left(d => d.x < this.width / 2 ? d.x + 30 : d.x - 35) // Shift label to right if on left half, otherwise shift to left
+        .top(d => d.y < this.height / 2 ? d.y + 25 : d.y - 25)  // Shift label down if on top half, otherwise shift up
+        .font(25 + "px sans-serif")
+        .text(d => {return this.neg_points.indexOf(d); })
+        .textStyle("red")
+        .textShadow("2px 2px 2px black")
+      .add(pv.Dot) // Add smaller point in the center
+        .data(() => this.neg_points)
+        .left(d => d.x)
+        .top(d => d.y)
+        .radius(2)  // Smaller radius for the center point
+        .shape("circle")
+        .fillStyle("red")  // Color for the center point
+        .lineWidth(1);  // Stroke thickness for the center point
+
+    if (this.points.length != 0) {
+      this.vis.render();
+    }
+
+    var svgElement = this.vis.canvas();
+    svgElement.style['zIndex'] = "2"
+    svgElement.style['position'] = "relative"
+    this.node.pointsEditor.element.appendChild(svgElement);
+
+    if (this.width > 256) {
+      this.node.setSize([this.width + 45, this.node.size[1]]);
+    }
+    this.node.setSize([this.node.size[0], this.height + 300]);
+    this.updateData();
+    this.refreshBackgroundImage();
+
+  }//end constructor
+
+  updateData = () => {
+    if (!this.points || this.points.length === 0) {
+      console.log("no points");
+      return;
+    }
+    const combinedPoints = {
+      positive: this.points,
+      negative: this.neg_points,
+    };
+    this.pointsStoreWidget.value = JSON.stringify(combinedPoints);
+    this.pos_coordWidget.value = JSON.stringify(this.points);
+    this.neg_coordWidget.value = JSON.stringify(this.neg_points);
+
+    if (this.bbox.length != 0) {    
+      let bboxString = JSON.stringify(this.bbox);
+      this.bboxStoreWidget.value = bboxString;
+      this.bboxWidget.value = bboxString;
+      }
+    
+    this.vis.render();
+    };
+
+  handleImageLoad = (img, file, base64String) => {
+    console.log(img.width, img.height); // Access width and height here
+    this.widthWidget.value = img.width;
+    this.heightWidget.value = img.height;
+
+    if (img.width != this.vis.width() || img.height != this.vis.height()) {
+      if (img.width > 256) {
+        this.node.setSize([img.width + 45, this.node.size[1]]);
+      }
+      this.node.setSize([this.node.size[0], img.height + 300]);
+      this.vis.width(img.width);
+      this.vis.height(img.height);
+      this.height = img.height;
+      this.width = img.width;
+      this.updateData();
+    }
+    this.backgroundImage.url(file ? URL.createObjectURL(file) : `data:${this.node.properties.imgData.type};base64,${base64String}`).visible(true).root.render();
+    };
+
+  processImage = (img, file) => {
+    const canvas = document.createElement('canvas');
+    const ctx = canvas.getContext('2d');
+
+    const maxWidth = 800; // maximum width
+    const maxHeight = 600; // maximum height
+    let width = img.width;
+    let height = img.height;
+
+    // Calculate the new dimensions while preserving the aspect ratio
+    if (width > height) {
+      if (width > maxWidth) {
+        height *= maxWidth / width;
+        width = maxWidth;
+      }
+    } else {
+      if (height > maxHeight) {
+        width *= maxHeight / height;
+        height = maxHeight;
+      }
+    }
+
+    canvas.width = width;
+    canvas.height = height;
+    ctx.drawImage(img, 0, 0, width, height);
+
+    // Get the compressed image data as a Base64 string
+    const base64String = canvas.toDataURL('image/jpeg', 0.5).replace('data:', '').replace(/^.+,/, ''); // 0.5 is the quality from 0 to 1
+
+    this.node.properties.imgData = {
+      name: file.name,
+      lastModified: file.lastModified,
+      size: file.size,
+      type: file.type,
+      base64: base64String
+    };
+    handleImageLoad(img, file, base64String);
+};
+
+  handleImageFile = (file) => {
+    const reader = new FileReader();
+    reader.onloadend = () => {
+      const img = new Image();
+      img.src = reader.result;
+      img.onload = () => processImage(img, file);
+    };
+    reader.readAsDataURL(file);
+
+    const imageUrl = URL.createObjectURL(file);
+    const img = new Image();
+    img.src = imageUrl;
+    img.onload = () => this.handleImageLoad(img, file, null);
+  };
+
+  refreshBackgroundImage = () => {
+    if (this.node.properties.imgData && this.node.properties.imgData.base64) {
+      const base64String = this.node.properties.imgData.base64;
+      const imageUrl = `data:${this.node.properties.imgData.type};base64,${base64String}`;
+      const img = new Image();
+      img.src = imageUrl;
+      img.onload = () => this.handleImageLoad(img, null, base64String);
+    }
+  };
+
+  createContextMenu = () => {
+    self = this;
+    document.addEventListener('contextmenu', function (e) {
+      e.preventDefault();
+    });
+
+    document.addEventListener('click', function (e) {
+      if (!self.node.contextMenu.contains(e.target)) {
+        self.node.contextMenu.style.display = 'none';
+      }
+    });
+
+    this.node.menuItems.forEach((menuItem, index) => {
+      self = this;
+      menuItem.addEventListener('click', function (e) {
+        e.preventDefault();
+        switch (index) {
+          case 0:
+            // Create file input element
+            const fileInput = document.createElement('input');
+            fileInput.type = 'file';
+            fileInput.accept = 'image/*'; // Accept only image files
+
+            // Listen for file selection
+            fileInput.addEventListener('change', function (event) {
+              const file = event.target.files[0]; // Get the selected file
+
+              if (file) {
+                const imageUrl = URL.createObjectURL(file);
+                let img = new Image();
+                img.src = imageUrl;
+                img.onload = () => self.handleImageLoad(img, file, null);
+              }
+            });
+
+            fileInput.click();
+            
+            self.node.contextMenu.style.display = 'none';
+            break;
+          case 1:
+            self.backgroundImage.visible(false).root.render();
+            self.node.properties.imgData = null;
+            self.node.contextMenu.style.display = 'none';
+            break;
+        }
+      });
+    });
+  }//end createContextMenu
+}//end class
+
+
+//from melmass
+export function hideWidgetForGood(node, widget, suffix = '') {
+  widget.origType = widget.type
+  widget.origComputeSize = widget.computeSize
+  widget.origSerializeValue = widget.serializeValue
+  widget.computeSize = () => [0, -4] // -4 is due to the gap litegraph adds between widgets automatically
+  widget.type = "converted-widget" + suffix
+  // widget.serializeValue = () => {
+  //     // Prevent serializing the widget if we have no input linked
+  //     const w = node.inputs?.find((i) => i.widget?.name === widget.name);
+  //     if (w?.link == null) {
+  //         return undefined;
+  //     }
+  //     return widget.origSerializeValue ? widget.origSerializeValue() : widget.value;
+  // };
+
+  // Hide any linked widgets, e.g. seed+seedControl
+  if (widget.linkedWidgets) {
+    for (const w of widget.linkedWidgets) {
+      hideWidgetForGood(node, w, ':' + widget.name)
+    }
+  }
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/setgetnodes.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/setgetnodes.js
new file mode 100644
index 0000000000000000000000000000000000000000..bb2b19dfef5516cbe06df40cd806d47323ebad74
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/setgetnodes.js
@@ -0,0 +1,559 @@
+import { app } from "../../../scripts/app.js";
+
+//based on diffus3's SetGet: https://github.com/diffus3/ComfyUI-extensions
+
+// Nodes that allow you to tunnel connections for cleaner graphs
+function setColorAndBgColor(type) {
+    const colorMap = {
+        "MODEL": LGraphCanvas.node_colors.blue,
+        "LATENT": LGraphCanvas.node_colors.purple,
+        "VAE": LGraphCanvas.node_colors.red,
+        "CONDITIONING": LGraphCanvas.node_colors.brown,
+        "IMAGE": LGraphCanvas.node_colors.pale_blue,
+        "CLIP": LGraphCanvas.node_colors.yellow,
+        "FLOAT": LGraphCanvas.node_colors.green,
+		"MASK": { color: "#1c5715", bgcolor: "#1f401b"},
+		"INT": { color: "#1b4669", bgcolor: "#29699c"},
+		"CONTROL_NET": { color: "#156653", bgcolor: "#1c453b"},
+		"NOISE": { color: "#2e2e2e", bgcolor: "#242121"},
+		"GUIDER": { color: "#3c7878", bgcolor: "#1c453b"},
+		"SAMPLER": { color: "#614a4a", bgcolor: "#3b2c2c"},
+		"SIGMAS": { color: "#485248", bgcolor: "#272e27"},
+
+    };
+
+    const colors = colorMap[type];
+    if (colors) {
+        this.color = colors.color;
+        this.bgcolor = colors.bgcolor;
+    }
+}
+let isAlertShown = false;
+let disablePrefix = app.ui.settings.getSettingValue("KJNodes.disablePrefix")
+const LGraphNode = LiteGraph.LGraphNode
+
+function showAlertWithThrottle(message, delay) {
+    if (!isAlertShown) {
+        isAlertShown = true;
+        alert(message);
+        setTimeout(() => isAlertShown = false, delay);
+    }
+}
+app.registerExtension({
+	name: "SetNode",
+	registerCustomNodes() {
+		class SetNode extends LGraphNode {
+			defaultVisibility = true;
+			serialize_widgets = true;
+			drawConnection = false;
+			currentGetters = null;
+			slotColor = "#FFF";
+			canvas = app.canvas;
+			menuEntry = "Show connections";
+
+			constructor(title) {
+				super(title)
+				if (!this.properties) {
+					this.properties = {
+						"previousName": ""
+					};
+				}
+				this.properties.showOutputText = SetNode.defaultVisibility;
+
+				const node = this;
+
+				this.addWidget(
+					"text", 
+					"Constant", 
+					'', 
+					(s, t, u, v, x) => {
+						node.validateName(node.graph);
+						if(this.widgets[0].value !== ''){
+							this.title = (!disablePrefix ? "Set_" : "") + this.widgets[0].value;
+						}
+						this.update();
+						this.properties.previousName = this.widgets[0].value;
+					}, 
+					{}
+				)
+				
+				this.addInput("*", "*");
+				this.addOutput("*", '*');
+
+				this.onConnectionsChange = function(
+					slotType,	//1 = input, 2 = output
+					slot,
+					isChangeConnect,
+                    link_info,
+                    output
+				) {
+					//On Disconnect
+					if (slotType == 1 && !isChangeConnect) {
+						if(this.inputs[slot].name === ''){
+							this.inputs[slot].type = '*';
+							this.inputs[slot].name = '*';
+							this.title = "Set"
+						}
+					}
+					if (slotType == 2 && !isChangeConnect) {
+						this.outputs[slot].type = '*';
+						this.outputs[slot].name = '*';
+						
+					}	
+					//On Connect
+					if (link_info && node.graph && slotType == 1 && isChangeConnect) {
+						const fromNode = node.graph._nodes.find((otherNode) => otherNode.id == link_info.origin_id);
+						
+						if (fromNode && fromNode.outputs && fromNode.outputs[link_info.origin_slot]) {
+							const type = fromNode.outputs[link_info.origin_slot].type;
+						
+							if (this.title === "Set"){
+								this.title = (!disablePrefix ? "Set_" : "") + type;
+							}
+							if (this.widgets[0].value === '*'){
+								this.widgets[0].value = type	
+							}
+							
+							this.validateName(node.graph);
+							this.inputs[0].type = type;
+							this.inputs[0].name = type;
+							
+							if (app.ui.settings.getSettingValue("KJNodes.nodeAutoColor")){
+								setColorAndBgColor.call(this, type);	
+							}
+						} else {
+							alert("Error: Set node input undefined. Most likely you're missing custom nodes");
+						}
+					}
+					if (link_info && node.graph && slotType == 2 && isChangeConnect) {
+						const fromNode = node.graph._nodes.find((otherNode) => otherNode.id == link_info.origin_id);
+						
+						if (fromNode && fromNode.inputs && fromNode.inputs[link_info.origin_slot]) {
+							const type = fromNode.inputs[link_info.origin_slot].type;
+							
+							this.outputs[0].type = type;
+							this.outputs[0].name = type;
+						} else {
+							alert("Error: Get Set node output undefined. Most likely you're missing custom nodes");
+						}
+					}
+					
+
+					//Update either way
+					this.update();
+				}
+
+				this.validateName = function(graph) {
+					let widgetValue = node.widgets[0].value;
+				
+					if (widgetValue !== '') {
+						let tries = 0;
+						const existingValues = new Set();
+				
+						graph._nodes.forEach(otherNode => {
+							if (otherNode !== this && otherNode.type === 'SetNode') {
+								existingValues.add(otherNode.widgets[0].value);
+							}
+						});
+				
+						while (existingValues.has(widgetValue)) {
+							widgetValue = node.widgets[0].value + "_" + tries;
+							tries++;
+						}
+				
+						node.widgets[0].value = widgetValue;
+						this.update();
+					}
+				}
+
+				this.clone = function () {
+					const cloned = SetNode.prototype.clone.apply(this);
+					cloned.inputs[0].name = '*';
+					cloned.inputs[0].type = '*';
+					cloned.value = '';
+					cloned.properties.previousName = '';
+					cloned.size = cloned.computeSize();
+					return cloned;
+				};
+
+				this.onAdded = function(graph) {
+					this.validateName(graph);
+				}
+
+
+				this.update = function() {
+					if (!node.graph) {
+						return;
+					}
+				
+					const getters = this.findGetters(node.graph);
+					getters.forEach(getter => {
+						getter.setType(this.inputs[0].type);
+					});
+				
+					if (this.widgets[0].value) {
+						const gettersWithPreviousName = this.findGetters(node.graph, true);
+						gettersWithPreviousName.forEach(getter => {
+							getter.setName(this.widgets[0].value);
+						});
+					}
+				
+					const allGetters = node.graph._nodes.filter(otherNode => otherNode.type === "GetNode");
+					allGetters.forEach(otherNode => {
+						if (otherNode.setComboValues) {
+							otherNode.setComboValues();
+						}
+					});
+				}
+
+
+				this.findGetters = function(graph, checkForPreviousName) {
+					const name = checkForPreviousName ? this.properties.previousName : this.widgets[0].value;
+					return graph._nodes.filter(otherNode => otherNode.type === 'GetNode' && otherNode.widgets[0].value === name && name !== '');
+				}
+
+				
+				// This node is purely frontend and does not impact the resulting prompt so should not be serialized
+				this.isVirtualNode = true;
+			}
+				
+
+			onRemoved() {
+				const allGetters = this.graph._nodes.filter((otherNode) => otherNode.type == "GetNode");
+				allGetters.forEach((otherNode) => {
+					if (otherNode.setComboValues) {
+						otherNode.setComboValues([this]);
+					}
+				})
+			}
+			getExtraMenuOptions(_, options) {
+				this.menuEntry = this.drawConnection ? "Hide connections" : "Show connections";
+				options.unshift(
+					{
+						content: this.menuEntry,
+						callback: () => {
+							this.currentGetters = this.findGetters(this.graph);								
+							if (this.currentGetters.length == 0) return;
+							let linkType = (this.currentGetters[0].outputs[0].type);	
+							this.slotColor = this.canvas.default_connection_color_byType[linkType]
+							this.menuEntry = this.drawConnection ? "Hide connections" : "Show connections";
+							this.drawConnection = !this.drawConnection;
+							this.canvas.setDirty(true, true);
+							
+						},
+						has_submenu: true,
+						submenu: {
+							title: "Color",
+                            options: [ 
+								{
+								content: "Highlight",
+								callback: () => {
+									this.slotColor = "orange"
+									this.canvas.setDirty(true, true);
+									}
+								}
+							],
+						},
+					},
+					{
+						content: "Hide all connections",
+						callback: () => {
+							const allGetters = this.graph._nodes.filter(otherNode => otherNode.type === "GetNode" || otherNode.type === "SetNode");
+							allGetters.forEach(otherNode => {
+								otherNode.drawConnection = false;
+								console.log(otherNode);
+							});
+							
+							this.menuEntry = "Show connections";
+							this.drawConnection = false
+							this.canvas.setDirty(true, true);
+							
+						},
+					
+					},
+				);
+				// Dynamically add a submenu for all getters
+				this.currentGetters = this.findGetters(this.graph);
+				if (this.currentGetters) {
+					
+					let gettersSubmenu = this.currentGetters.map(getter => ({
+						
+						content: `${getter.title} id: ${getter.id}`,
+						callback: () => {
+							this.canvas.centerOnNode(getter);
+							this.canvas.selectNode(getter, false);
+							this.canvas.setDirty(true, true);
+							
+						},
+					}));
+			
+					options.unshift({
+						content: "Getters",
+						has_submenu: true,
+						submenu: {
+							title: "GetNodes",
+                            options: gettersSubmenu,
+						}
+					});
+				}
+			}
+			
+			
+			onDrawForeground(ctx, lGraphCanvas) {
+				if (this.drawConnection) {
+					this._drawVirtualLinks(lGraphCanvas, ctx);
+				}
+			}
+			// onDrawCollapsed(ctx, lGraphCanvas) {
+			// 	if (this.drawConnection) {
+			// 		this._drawVirtualLinks(lGraphCanvas, ctx);
+			// 	}
+			// }
+			_drawVirtualLinks(lGraphCanvas, ctx) {
+				if (!this.currentGetters?.length) return;
+				var title = this.getTitle ? this.getTitle() : this.title;
+				var title_width = ctx.measureText(title).width;
+				if (!this.flags.collapsed) {
+					var start_node_slotpos = [
+						this.size[0],
+						LiteGraph.NODE_TITLE_HEIGHT * 0.5,
+						];
+				}
+				else {
+					
+					var start_node_slotpos = [
+						title_width + 55,
+						-15,
+
+						];
+				}
+
+				for (const getter of this.currentGetters) {
+					if (!this.flags.collapsed) {
+					var end_node_slotpos = this.getConnectionPos(false, 0);
+					end_node_slotpos = [
+						getter.pos[0] - end_node_slotpos[0] + this.size[0],
+						getter.pos[1] - end_node_slotpos[1]
+						];
+					}
+					else {
+						var end_node_slotpos = this.getConnectionPos(false, 0);
+						end_node_slotpos = [
+						getter.pos[0] - end_node_slotpos[0] + title_width + 50,
+						getter.pos[1] - end_node_slotpos[1] - 30
+						];
+					}
+					lGraphCanvas.renderLink(
+						ctx,
+						start_node_slotpos,
+						end_node_slotpos,
+						null,
+						false,
+						null,
+						this.slotColor,
+						LiteGraph.RIGHT,
+						LiteGraph.LEFT
+					);
+				}
+			}
+		}
+
+		LiteGraph.registerNodeType(
+			"SetNode",
+			Object.assign(SetNode, {
+				title: "Set",
+			})
+		);
+
+		SetNode.category = "KJNodes";
+	},
+});
+
+app.registerExtension({
+	name: "GetNode",
+	registerCustomNodes() {
+		class GetNode extends LGraphNode {
+
+			defaultVisibility = true;
+			serialize_widgets = true;
+			drawConnection = false;
+			slotColor = "#FFF";
+			currentSetter = null;
+			canvas = app.canvas;
+
+			constructor(title) {
+				super(title)
+				if (!this.properties) {
+					this.properties = {};
+				}
+				this.properties.showOutputText = GetNode.defaultVisibility;
+				const node = this;
+				this.addWidget(
+					"combo",
+					"Constant",
+					"",
+					(e) => {
+						this.onRename();
+					},
+					{
+						values: () => {
+                            const setterNodes = node.graph._nodes.filter((otherNode) => otherNode.type == 'SetNode');
+                            return setterNodes.map((otherNode) => otherNode.widgets[0].value).sort();
+                        }
+					}
+				)
+
+				this.addOutput("*", '*');			
+				this.onConnectionsChange = function(
+					slotType,	//0 = output, 1 = input
+					slot,	//self-explanatory
+					isChangeConnect,
+                    link_info,
+                    output
+				) {
+					this.validateLinks();	
+				}
+
+				this.setName = function(name) {
+					node.widgets[0].value = name;
+					node.onRename();
+					node.serialize();
+				}
+				
+				this.onRename = function() {
+					const setter = this.findSetter(node.graph);
+					if (setter) {
+						let linkType = (setter.inputs[0].type);
+						
+						this.setType(linkType);
+						this.title = (!disablePrefix ? "Get_" : "") + setter.widgets[0].value;
+						
+						if (app.ui.settings.getSettingValue("KJNodes.nodeAutoColor")){
+							setColorAndBgColor.call(this, linkType);	
+						}
+
+					} else {
+						this.setType('*');
+					}
+				}
+
+				this.clone = function () {
+					const cloned = GetNode.prototype.clone.apply(this);
+					cloned.size = cloned.computeSize();
+					return cloned;
+				};
+
+				this.validateLinks = function() {
+					if (this.outputs[0].type !== '*' && this.outputs[0].links) {
+						this.outputs[0].links.filter(linkId => {
+							const link = node.graph.links[linkId];
+							return link && (link.type !== this.outputs[0].type && link.type !== '*');
+						}).forEach(linkId => {
+							node.graph.removeLink(linkId);
+						});
+					}
+				};
+
+				this.setType = function(type) {
+					this.outputs[0].name = type;
+					this.outputs[0].type = type;
+					this.validateLinks();
+				}
+
+				this.findSetter = function(graph) {
+					const name = this.widgets[0].value;
+					const foundNode = graph._nodes.find(otherNode => otherNode.type === 'SetNode' && otherNode.widgets[0].value === name && name !== '');
+					return foundNode;
+				};
+
+				this.goToSetter = function() {
+					const setter = this.findSetter(this.graph);	
+					this.canvas.centerOnNode(setter);
+					this.canvas.selectNode(setter, false);
+				};
+				
+				// This node is purely frontend and does not impact the resulting prompt so should not be serialized
+				this.isVirtualNode = true;
+			}
+			
+			getInputLink(slot) {
+				const setter = this.findSetter(this.graph);
+			
+				if (setter) {
+					const slotInfo = setter.inputs[slot];
+					const link = this.graph.links[slotInfo.link];
+					return link;
+				} else {
+					const errorMessage = "No SetNode found for " + this.widgets[0].value + "(" + this.type + ")";
+					showAlertWithThrottle(errorMessage, 5000);
+					//throw new Error(errorMessage);
+				}
+			}
+			onAdded(graph) {
+			}
+			getExtraMenuOptions(_, options) {
+				let menuEntry = this.drawConnection ? "Hide connections" : "Show connections";
+				
+				options.unshift(
+					{
+						content: "Go to setter",
+						callback: () => {
+							this.goToSetter();
+						},
+					},
+					{
+						content: menuEntry,
+						callback: () => {
+							this.currentSetter = this.findSetter(this.graph);
+							if (this.currentSetter.length == 0) return;
+							let linkType = (this.currentSetter.inputs[0].type);	
+							this.drawConnection = !this.drawConnection;
+							this.slotColor = this.canvas.default_connection_color_byType[linkType]
+							menuEntry = this.drawConnection ? "Hide connections" : "Show connections";
+							this.canvas.setDirty(true, true);
+						},
+					},
+				);
+			}
+
+			onDrawForeground(ctx, lGraphCanvas) {
+				if (this.drawConnection) {
+					this._drawVirtualLink(lGraphCanvas, ctx);
+				}
+			}
+			// onDrawCollapsed(ctx, lGraphCanvas) {
+			// 	if (this.drawConnection) {
+			// 		this._drawVirtualLink(lGraphCanvas, ctx);
+			// 	}
+			// }
+			_drawVirtualLink(lGraphCanvas, ctx) {
+				if (!this.currentSetter) return;
+				
+				let start_node_slotpos = this.currentSetter.getConnectionPos(false, 0);
+				start_node_slotpos = [
+					start_node_slotpos[0] - this.pos[0],
+					start_node_slotpos[1] - this.pos[1],
+				];
+				let end_node_slotpos = [0, -LiteGraph.NODE_TITLE_HEIGHT * 0.5];
+				lGraphCanvas.renderLink(
+					ctx,
+					start_node_slotpos,
+					end_node_slotpos,
+					null,
+					false,
+					null,
+					this.slotColor
+				);
+			}
+		}
+
+		LiteGraph.registerNodeType(
+			"GetNode",
+			Object.assign(GetNode, {
+				title: "Get",
+			})
+		);
+
+		GetNode.category = "KJNodes";
+	},
+});
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/spline_editor.js b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/spline_editor.js
new file mode 100644
index 0000000000000000000000000000000000000000..ebed27fe8b95a4a7bfbf307f9690674d6b498311
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/js/spline_editor.js
@@ -0,0 +1,724 @@
+import { app } from '../../../scripts/app.js'
+
+//from melmass
+export function makeUUID() {
+  let dt = new Date().getTime()
+  const uuid = 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, (c) => {
+    const r = ((dt + Math.random() * 16) % 16) | 0
+    dt = Math.floor(dt / 16)
+    return (c === 'x' ? r : (r & 0x3) | 0x8).toString(16)
+  })
+  return uuid
+}
+
+export const loadScript = (
+    FILE_URL,
+    async = true,
+    type = 'text/javascript',
+  ) => {
+    return new Promise((resolve, reject) => {
+      try {
+        // Check if the script already exists
+        const existingScript = document.querySelector(`script[src="${FILE_URL}"]`)
+        if (existingScript) {
+          resolve({ status: true, message: 'Script already loaded' })
+          return
+        }
+  
+        const scriptEle = document.createElement('script')
+        scriptEle.type = type
+        scriptEle.async = async
+        scriptEle.src = FILE_URL
+  
+        scriptEle.addEventListener('load', (ev) => {
+          resolve({ status: true })
+        })
+  
+        scriptEle.addEventListener('error', (ev) => {
+          reject({
+            status: false,
+            message: `Failed to load the script ${FILE_URL}`,
+          })
+        })
+  
+        document.body.appendChild(scriptEle)
+      } catch (error) {
+        reject(error)
+      }
+    })
+  }
+  const create_documentation_stylesheet = () => {
+    const tag = 'kj-splineditor-stylesheet'
+
+    let styleTag = document.head.querySelector(tag)
+
+    if (!styleTag) {
+      styleTag = document.createElement('style')
+      styleTag.type = 'text/css'
+      styleTag.id = tag
+      styleTag.innerHTML = `
+       .spline-editor {
+
+        position: absolute;
+
+        font: 12px monospace;
+        line-height: 1.5em;
+        padding: 10px;
+        z-index: 0;
+        overflow: hidden;
+       }
+        `
+      document.head.appendChild(styleTag)
+    }
+  }
+
+loadScript('/kjweb_async/svg-path-properties.min.js').catch((e) => {
+    console.log(e)
+})
+loadScript('/kjweb_async/protovis.min.js').catch((e) => {
+  console.log(e)
+})
+create_documentation_stylesheet()
+
+function chainCallback(object, property, callback) {
+  if (object == undefined) {
+      //This should not happen.
+      console.error("Tried to add callback to non-existant object")
+      return;
+  }
+  if (property in object) {
+      const callback_orig = object[property]
+      object[property] = function () {
+          const r = callback_orig.apply(this, arguments);
+          callback.apply(this, arguments);
+          return r
+      };
+  } else {
+      object[property] = callback;
+  }
+}
+app.registerExtension({
+    name: 'KJNodes.SplineEditor', 
+    
+    async beforeRegisterNodeDef(nodeType, nodeData) {
+        if (nodeData?.name === 'SplineEditor') {
+          chainCallback(nodeType.prototype, "onNodeCreated", function () {
+            
+            hideWidgetForGood(this, this.widgets.find(w => w.name === "coordinates"))
+
+            var element = document.createElement("div");
+            this.uuid = makeUUID()
+            element.id = `spline-editor-${this.uuid}`
+
+            this.splineEditor = this.addDOMWidget(nodeData.name, "SplineEditorWidget", element, {
+            serialize: false,
+            hideOnZoom: false,
+            });
+
+            // context menu
+            this.contextMenu = document.createElement("div");
+            this.contextMenu.id = "context-menu";
+            this.contextMenu.style.display = "none";
+            this.contextMenu.style.position = "absolute";
+            this.contextMenu.style.backgroundColor = "#202020";
+            this.contextMenu.style.minWidth = "100px";
+            this.contextMenu.style.boxShadow = "0px 8px 16px 0px rgba(0,0,0,0.2)";
+            this.contextMenu.style.zIndex = "100";
+            this.contextMenu.style.padding = "5px";
+
+            function styleMenuItem(menuItem) {
+              menuItem.style.display = "block";
+              menuItem.style.padding = "5px";
+              menuItem.style.color = "#FFF";
+              menuItem.style.fontFamily = "Arial, sans-serif";
+              menuItem.style.fontSize = "16px";
+              menuItem.style.textDecoration = "none";
+              menuItem.style.marginBottom = "5px";
+            }
+            function createMenuItem(id, textContent) {
+              let menuItem = document.createElement("a");
+              menuItem.href = "#";
+              menuItem.id = `menu-item-${id}`;
+              menuItem.textContent = textContent;
+              styleMenuItem(menuItem);
+              return menuItem;
+            }
+            
+            // Create an array of menu items using the createMenuItem function
+            this.menuItems = [
+              createMenuItem(1, "Toggle handles"),
+              createMenuItem(2, "Display sample points"),
+              createMenuItem(3, "Switch point shape"),
+              createMenuItem(4, "Background image"),
+              createMenuItem(5, "Invert point order")
+            ];
+            
+            // Add mouseover and mouseout event listeners to each menu item for styling
+            this.menuItems.forEach(menuItem => {
+              menuItem.addEventListener('mouseover', function() {
+                this.style.backgroundColor = "gray";
+              });
+            
+              menuItem.addEventListener('mouseout', function() {
+                this.style.backgroundColor = "#202020";
+              });
+            });
+            
+            // Append each menu item to the context menu
+            this.menuItems.forEach(menuItem => {
+              this.contextMenu.appendChild(menuItem);
+            });
+
+            document.body.appendChild( this.contextMenu);
+
+            this.addWidget("button", "New spline", null, () => {
+              if (!this.properties || !("points" in this.properties)) {
+                createSplineEditor(this)
+                this.addProperty("points", this.constructor.type, "string");
+              }
+              else {
+                createSplineEditor(this, true)
+              }
+            });
+            
+            this.setSize([550, 950]);
+            this.resizable = false;
+            this.splineEditor.parentEl = document.createElement("div");
+            this.splineEditor.parentEl.className = "spline-editor";
+            this.splineEditor.parentEl.id = `spline-editor-${this.uuid}`
+            element.appendChild(this.splineEditor.parentEl);
+            
+            chainCallback(this, "onConfigure", function() {
+              createSplineEditor(this);
+              });
+              
+          }); // onAfterGraphConfigured
+        }//node created
+      } //before register
+})//register
+
+
+function createSplineEditor(context, reset=false) {
+  console.log("creatingSplineEditor")
+
+  // context menu
+  function createContextMenu() {
+    document.addEventListener('contextmenu', function(e) {
+      e.preventDefault();
+    });
+
+    document.addEventListener('click', function(e) {
+      if (!context.contextMenu.contains(e.target)) {
+        context.contextMenu.style.display = 'none';
+      }
+    });
+
+    context.menuItems.forEach((menuItem, index) => {
+      menuItem.addEventListener('click', function(e) {
+        e.preventDefault();
+        // Logic specific to each menu item based on its index or id
+        switch (index) {
+          case 0:
+            e.preventDefault();
+            if (!drawHandles) {
+              drawHandles = true
+              vis.add(pv.Line)
+              .data(() => points.map((point, index) => ({
+                  start: point,
+                  end: [index]
+              })))
+              .left(d => d.start.x)
+              .top(d => d.start.y)
+              .interpolate("linear")
+              .tension(0) // Straight lines
+              .strokeStyle("#ff7f0e") // Same color as control points
+              .lineWidth(1)
+              .visible(() => drawHandles);
+              vis.render();
+            } else {
+              drawHandles = false
+              vis.render();
+            }
+            context.contextMenu.style.display = 'none';
+            break;
+          case 1:
+            e.preventDefault();
+            drawSamplePoints = !drawSamplePoints;
+            updatePath();
+            break;
+          case 2:
+            e.preventDefault();
+            if (dotShape == "circle"){
+              dotShape = "triangle"
+            }
+            else {
+              dotShape = "circle"
+            }
+            console.log(dotShape)
+            updatePath();
+            break;
+          case 3:
+            // Create file input element
+            const fileInput = document.createElement('input');
+            fileInput.type = 'file';
+            fileInput.accept = 'image/*'; // Accept only image files
+
+            // Listen for file selection
+            fileInput.addEventListener('change', function(event) {
+              const file = event.target.files[0]; // Get the selected file
+
+              if (file) {
+                // Create a URL for the selected file
+                const imageUrl = URL.createObjectURL(file);
+                
+                // Set the backgroundImage with the new URL and make it visible
+                backgroundImage
+                  .url(imageUrl)
+                  .visible(true)
+                  .root.render();
+              }
+            });
+
+            // If the backgroundImage is already visible, hide it. Otherwise, show file input.
+            if (backgroundImage.visible()) {
+              backgroundImage.visible(false)
+              .root.render();
+            } else {
+              // Trigger the file input dialog
+              fileInput.click();
+            }
+            context.contextMenu.style.display = 'none';
+            break;
+          case 4:
+            e.preventDefault();
+            points.reverse();
+            updatePath();
+        }
+      });
+    });
+  }
+
+  var dotShape = "circle";
+  var drawSamplePoints = false;
+  
+  createContextMenu();
+  function updatePath() {
+      if (samplingMethod != "controlpoints") {
+        var coords = samplePoints(pathElements[0], points_to_sample, samplingMethod, w);
+      }
+      else {
+        var coords = points
+      }
+
+      if (drawSamplePoints) {
+        if (pointsLayer) {
+          // Update the data of the existing points layer
+          pointsLayer.data(coords);
+        } else {
+            // Create the points layer if it doesn't exist
+            pointsLayer = vis.add(pv.Dot)
+                .data(coords)
+                .left(function(d) { return d.x; })
+                .top(function(d) { return d.y; })
+                .radius(5) // Adjust the radius as needed
+                .fillStyle("red") // Change the color as needed
+                .strokeStyle("black") // Change the stroke color as needed
+                .lineWidth(1); // Adjust the line width as needed
+          }
+      } else {
+          if (pointsLayer) {
+            // Remove the points layer
+            pointsLayer.data([]);
+            vis.render();
+          }
+      }
+      let coordsString = JSON.stringify(coords);
+      pointsStoreWidget.value = JSON.stringify(points);
+      if (coordWidget) {
+        coordWidget.value = coordsString;
+        }
+      vis.render();
+  }
+  
+  if (reset && context.splineEditor.element) {
+    context.splineEditor.element.innerHTML = ''; // Clear the container
+  }
+  const coordWidget = context.widgets.find(w => w.name === "coordinates");
+  const interpolationWidget = context.widgets.find(w => w.name === "interpolation");
+  const pointsWidget = context.widgets.find(w => w.name === "points_to_sample");
+  const pointsStoreWidget = context.widgets.find(w => w.name === "points_store");
+  const tensionWidget = context.widgets.find(w => w.name === "tension");
+  const minValueWidget = context.widgets.find(w => w.name === "min_value");
+  const maxValueWidget = context.widgets.find(w => w.name === "max_value");
+  const samplingMethodWidget = context.widgets.find(w => w.name === "sampling_method");
+  const widthWidget = context.widgets.find(w => w.name === "mask_width");
+  const heightWidget = context.widgets.find(w => w.name === "mask_height");
+  //const segmentedWidget = context.widgets.find(w => w.name === "segmented");
+
+  var interpolation = interpolationWidget.value
+  var tension = tensionWidget.value
+  var points_to_sample = pointsWidget.value
+  var rangeMin = minValueWidget.value
+  var rangeMax = maxValueWidget.value
+  var pointsLayer = null;
+  var samplingMethod = samplingMethodWidget.value
+  
+  if (samplingMethod == "path") {
+    dotShape = "triangle"
+  }
+  
+  
+  interpolationWidget.callback = () => {
+    interpolation = interpolationWidget.value
+    updatePath();
+  }
+  samplingMethodWidget.callback = () => {
+    samplingMethod = samplingMethodWidget.value
+    if (samplingMethod == "path") {
+      dotShape = "triangle"
+    }
+    else if (samplingMethod == "controlpoints") {
+      dotShape = "circle"
+      drawSamplePoints = true;
+    }
+    updatePath();
+  }
+  tensionWidget.callback = () => {
+    tension = tensionWidget.value
+    updatePath();
+  }
+  pointsWidget.callback = () => {
+    points_to_sample = pointsWidget.value
+    updatePath();
+  }
+  minValueWidget.callback = () => {
+    rangeMin = minValueWidget.value
+    updatePath();
+  }
+  maxValueWidget.callback = () => {
+    rangeMax = maxValueWidget.value
+    updatePath();
+  }
+  widthWidget.callback = () => {
+    w = widthWidget.value;
+    if (w > 256) {
+        context.setSize([w + 45, context.size[1]]);
+    }
+    vis.width(w);
+    updatePath();
+}
+  heightWidget.callback = () => {
+    h = heightWidget.value
+    vis.height(h)
+    context.setSize([context.size[0], h + 430]);
+    updatePath();
+  }
+  pointsStoreWidget.callback = () => {
+    points = JSON.parse(pointsStoreWidget.value);
+    updatePath();
+  }
+  
+ // Initialize or reset points array
+ var drawHandles = false;
+ var hoverIndex = -1;
+ var isDragging = false;
+ var w = widthWidget.value;
+ var h = heightWidget.value;
+ var i = 3;
+ let points = [];
+
+ if (!reset && pointsStoreWidget.value != "") {
+    points = JSON.parse(pointsStoreWidget.value);
+ } else {
+  points = pv.range(1, 4).map((i, index) => {
+    if (index === 0) {
+      // First point at the bottom-left corner
+      return { x: 0, y: h };
+    } else if (index === 2) {
+      // Last point at the top-right corner
+      return { x: w, y: 0 };
+    } else {
+      // Other points remain as they were
+      return {
+        x: i * w / 5,
+        y: 50 + Math.random() * (h - 100)
+      };
+    }
+  });
+    pointsStoreWidget.value = JSON.stringify(points);
+ }
+  
+  var vis = new pv.Panel()
+  .width(w)
+  .height(h)
+  .fillStyle("#222")
+  .strokeStyle("gray")
+  .lineWidth(2)
+  .antialias(false)
+  .margin(10)
+  .event("mousedown", function() {
+    if (pv.event.shiftKey) { // Use pv.event to access the event object
+        let scaledMouse = {
+        x: this.mouse().x / app.canvas.ds.scale,
+        y: this.mouse().y / app.canvas.ds.scale
+        };
+        i = points.push(scaledMouse) - 1;
+        updatePath();
+        return this;
+    }
+    else if (pv.event.ctrlKey) {
+       // Capture the clicked location
+       let clickedPoint = {
+        x: this.mouse().x / app.canvas.ds.scale,
+        y: this.mouse().y / app.canvas.ds.scale
+        };
+
+        // Find the two closest points to the clicked location
+        let { point1Index, point2Index } = findClosestPoints(points, clickedPoint);
+
+        // Calculate the midpoint between the two closest points
+        let midpoint = {
+            x: (points[point1Index].x + points[point2Index].x) / 2,
+            y: (points[point1Index].y + points[point2Index].y) / 2
+        };
+
+        // Insert the midpoint into the array
+        points.splice(point2Index, 0, midpoint);
+        i = point2Index;
+        updatePath();
+    }
+    else if (pv.event.button === 2) {
+      context.contextMenu.style.display = 'block';
+      context.contextMenu.style.left = `${pv.event.clientX}px`;
+      context.contextMenu.style.top = `${pv.event.clientY}px`;
+      }
+    })
+  var backgroundImage = vis.add(pv.Image)
+    .visible(false)
+  vis.add(pv.Rule)
+    .data(pv.range(0, h, 64))
+    .bottom(d =>  d)
+    .strokeStyle("gray")
+    .lineWidth(3)
+
+  // vis.add(pv.Rule)
+  //   .data(pv.range(0, points_to_sample, 1))
+  //   .left(d =>  d * 512 / (points_to_sample - 1))
+  //   .strokeStyle("gray")
+  //   .lineWidth(2)
+
+  vis.add(pv.Line)
+    .data(() => points)
+    .left(d => d.x)
+    .top(d => d.y)
+    .interpolate(() => interpolation)
+    .tension(() => tension)
+    .segmented(() => false)
+    .strokeStyle(pv.Colors.category10().by(pv.index))
+    .lineWidth(3)
+    
+  vis.add(pv.Dot)
+    .data(() => points)
+    .left(d => d.x)
+    .top(d => d.y)
+    .radius(10)
+    .shape(function() {
+      return dotShape;
+   })
+   .angle(function() {
+    const index = this.index;
+    let angle = 0;
+
+    if (dotShape === "triangle") {
+      let dxNext = 0, dyNext = 0;
+      if (index < points.length - 1) {
+        dxNext = points[index + 1].x - points[index].x;
+        dyNext = points[index + 1].y - points[index].y;
+      }
+
+      let dxPrev = 0, dyPrev = 0;
+      if (index > 0) {
+        dxPrev = points[index].x - points[index - 1].x;
+        dyPrev = points[index].y - points[index - 1].y;
+      }
+
+      const dx = (dxNext + dxPrev) / 2;
+      const dy = (dyNext + dyPrev) / 2;
+
+      angle = Math.atan2(dy, dx);
+      angle -= Math.PI / 2;
+      angle = (angle + 2 * Math.PI) % (2 * Math.PI);
+    }
+
+    return angle;
+ })
+    .cursor("move")
+    .strokeStyle(function() { return i == this.index ? "#ff7f0e" : "#1f77b4"; })
+    .fillStyle(function() { return "rgba(100, 100, 100, 0.3)"; })
+    .event("mousedown", pv.Behavior.drag())
+    .event("dragstart", function() {
+        i = this.index;
+        hoverIndex = this.index;
+        isDragging = true;
+        if (pv.event.button === 2 && i !== 0 && i !== points.length - 1) {
+          points.splice(i--, 1);
+          vis.render();
+        }
+        return this;
+    })
+    .event("dragend", function() {
+      if (this.pathElements !== null) {
+        updatePath();
+      }
+        isDragging = false;
+    })
+    .event("drag", function() {
+      let adjustedX = this.mouse().x / app.canvas.ds.scale; // Adjust the new X position by the inverse of the scale factor
+      let adjustedY = this.mouse().y / app.canvas.ds.scale; // Adjust the new Y position by the inverse of the scale factor
+       // Determine the bounds of the vis.Panel
+      const panelWidth = vis.width();
+      const panelHeight = vis.height();
+
+      // Adjust the new position if it would place the dot outside the bounds of the vis.Panel
+      adjustedX = Math.max(0, Math.min(panelWidth, adjustedX));
+      adjustedY = Math.max(0, Math.min(panelHeight, adjustedY));
+      points[this.index] = { x: adjustedX, y: adjustedY }; // Update the point's position
+      vis.render(); // Re-render the visualization to reflect the new position
+   })
+    .event("mouseover", function() {
+      hoverIndex = this.index; // Set the hover index to the index of the hovered dot
+      vis.render(); // Re-render the visualization
+    })
+    .event("mouseout", function() {
+      !isDragging && (hoverIndex = -1); // Reset the hover index when the mouse leaves the dot
+      vis.render(); // Re-render the visualization
+    })
+    .anchor("center")
+    .add(pv.Label)
+    .visible(function() {
+      return hoverIndex === this.index; // Only show the label for the hovered dot
+    })
+    .left(d => d.x < w / 2 ? d.x + 80 : d.x - 70) // Shift label to right if on left half, otherwise shift to left
+    .top(d => d.y < h / 2 ? d.y + 20 : d.y - 20)  // Shift label down if on top half, otherwise shift up
+    .font(12 + "px sans-serif")
+    .text(d => {
+      if (samplingMethod == "path") {
+        return `X: ${Math.round(d.x)}, Y: ${Math.round(d.y)}`;
+      } else {
+          let frame = Math.round((d.x / w) * points_to_sample);
+          let normalizedY = (1.0 - (d.y / h) - 0.0) * (rangeMax - rangeMin) + rangeMin;
+          let normalizedX = (d.x / w);
+          return `F: ${frame}, X: ${normalizedX.toFixed(2)}, Y: ${normalizedY.toFixed(2)}`;
+      }
+      })
+    .textStyle("orange")
+ 
+    vis.render();
+    var svgElement = vis.canvas();
+    svgElement.style['zIndex'] = "2"
+    svgElement.style['position'] = "relative"
+    context.splineEditor.element.appendChild(svgElement);
+    var pathElements = svgElement.getElementsByTagName('path'); // Get all path elements
+
+    if (w > 256) {
+      context.setSize([w + 45, context.size[1]]);
+    }
+    context.setSize([context.size[0], h + 430]);
+    updatePath();
+}
+
+function samplePoints(svgPathElement, numSamples, samplingMethod, width) {
+  var svgWidth = width; // Fixed width of the SVG element
+  var pathLength = svgPathElement.getTotalLength();
+  var points = [];
+
+  for (var i = 0; i < numSamples; i++) {
+      if (samplingMethod === "time") {
+        // Calculate the x-coordinate for the current sample based on the SVG's width
+        var x = (svgWidth / (numSamples - 1)) * i;
+        // Find the point on the path that intersects the vertical line at the calculated x-coordinate
+        var point = findPointAtX(svgPathElement, x, pathLength);
+        }
+      else if (samplingMethod === "path") {
+        // Calculate the distance along the path for the current sample
+        var distance = (pathLength / (numSamples - 1)) * i;
+        // Get the point at the current distance
+        var point = svgPathElement.getPointAtLength(distance);
+      }
+
+      // Add the point to the array of points
+      points.push({ x: point.x, y: point.y });
+  }
+  return points;
+}
+
+function findClosestPoints(points, clickedPoint) {
+  // Calculate distances from clickedPoint to each point in the array
+  let distances = points.map(point => {
+      let dx = clickedPoint.x - point.x;
+      let dy = clickedPoint.y - point.y;
+      return { index: points.indexOf(point), distance: Math.sqrt(dx * dx + dy * dy) };
+  });
+  // Sort distances and get the indices of the two closest points
+  let sortedDistances = distances.sort((a, b) => a.distance - b.distance);
+  let closestPoint1Index = sortedDistances[0].index;
+  let closestPoint2Index = sortedDistances[1].index;
+   // Ensure point1Index is always the smaller index
+ if (closestPoint1Index > closestPoint2Index) {
+  [closestPoint1Index, closestPoint2Index] = [closestPoint2Index, closestPoint1Index];
+  }
+  return { point1Index: closestPoint1Index, point2Index: closestPoint2Index };
+}
+
+function findPointAtX(svgPathElement, targetX, pathLength) {
+  let low = 0;
+  let high = pathLength;
+  let bestPoint = svgPathElement.getPointAtLength(0);
+
+  while (low <= high) {
+      let mid = low + (high - low) / 2;
+      let point = svgPathElement.getPointAtLength(mid);
+
+      if (Math.abs(point.x - targetX) < 1) {
+          return point; // The point is close enough to the target
+      }
+
+      if (point.x < targetX) {
+          low = mid + 1;
+      } else {
+          high = mid - 1;
+      }
+
+      // Keep track of the closest point found so far
+      if (Math.abs(point.x - targetX) < Math.abs(bestPoint.x - targetX)) {
+          bestPoint = point;
+      }
+  }
+
+  // Return the closest point found
+  return bestPoint;
+}
+
+//from melmass
+export function hideWidgetForGood(node, widget, suffix = '') {
+  widget.origType = widget.type
+  widget.origComputeSize = widget.computeSize
+  widget.origSerializeValue = widget.serializeValue
+  widget.computeSize = () => [0, -4] // -4 is due to the gap litegraph adds between widgets automatically
+  widget.type = "converted-widget" + suffix
+  // widget.serializeValue = () => {
+  //     // Prevent serializing the widget if we have no input linked
+  //     const w = node.inputs?.find((i) => i.widget?.name === widget.name);
+  //     if (w?.link == null) {
+  //         return undefined;
+  //     }
+  //     return widget.origSerializeValue ? widget.origSerializeValue() : widget.value;
+  // };
+
+  // Hide any linked widgets, e.g. seed+seedControl
+  if (widget.linkedWidgets) {
+    for (const w of widget.linkedWidgets) {
+      hideWidgetForGood(node, w, ':' + widget.name)
+    }
+  }
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/red.png b/ComfyUI/custom_nodes/ComfyUI-KJNodes/web/red.png
new file mode 100644
index 0000000000000000000000000000000000000000..4352c118b2c5fa6f33edc4d99a5e4d22649ff827
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diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/.gitattributes b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..dfe0770424b2a19faf507a501ebfc23be8f54e7b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/.gitattributes
@@ -0,0 +1,2 @@
+# Auto detect text files and perform LF normalization
+* text=auto
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/.github/workflows/publish.yml b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/.github/workflows/publish.yml
new file mode 100644
index 0000000000000000000000000000000000000000..a8719ae9bd44754607726d647881787327ec0c03
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/.github/workflows/publish.yml
@@ -0,0 +1,24 @@
+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+      - master
+    paths:
+      - "pyproject.toml"
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    # if this is a forked repository. Skipping the workflow.
+    if: github.event.repository.fork == false 
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          ## Add your own personal access token to your Github Repository secrets and reference it here.
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/.gitignore b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..07050fdfd51205238c1139a14725cdc412a71290
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/.gitignore
@@ -0,0 +1,17 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+**/__pycache__/
+*.py[cod]
+**/*.py[cod]
+*$py.class
+
+# Model weights
+**/*.pth
+**/*.onnx
+
+# Ipython notebook
+*.ipynb
+
+# Temporary files or benchmark resources
+animations/*
+tmp/*
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/LICENSE b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..9e8f5026e9273b98745188ec4bbc8ac05b2b22ef
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 Kuaishou Visual Generation and Interaction Center
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/__init__.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..2e96bd6ab3db650f769ae7886e0c13515752bd16
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/__init__.py
@@ -0,0 +1,3 @@
+from .nodes import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
+
+__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
\ No newline at end of file
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diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/driving/d0.mp4 b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/driving/d0.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..92391dd3ff235fc82f29b7cc77fe4a7ce183d934
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/driving/d0.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63f6f9962e1fdf6e6722172e7a18155204858d5d5ce3b1e0646c150360c33bed
+size 2958395
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--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/driving/d3.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef5c86e49b1b43dcb1449b499eb5a7f0cbae2f78aec08b5598193be1e4257099
+size 1430968
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+version https://git-lfs.github.com/spec/v1
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+size 1967790
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+size 2257929
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diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/source/s9.jpg b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/source/s9.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..3ef7251ba10bf83356587016b126a52bdbca7b18
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/assets/examples/source/s9.jpg differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/examples/liveportrait_image_example_01.json b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/examples/liveportrait_image_example_01.json
new file mode 100644
index 0000000000000000000000000000000000000000..a7c32fbbe4b5cc0c8378e7cc2c20ba2233f24484
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/examples/liveportrait_image_example_01.json
@@ -0,0 +1,1461 @@
+{
+  "last_node_id": 201,
+  "last_link_id": 478,
+  "nodes": [
+    {
+      "id": 129,
+      "type": "LivePortraitLoadCropper",
+      "pos": [
+        -1253,
+        -757
+      ],
+      "size": {
+        "0": 315,
+        "1": 106
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "links": [],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitLoadCropper"
+      },
+      "widgets_values": [
+        "CPU",
+        true,
+        0.5
+      ]
+    },
+    {
+      "id": 134,
+      "type": "GetImageSizeAndCount",
+      "pos": [
+        -200,
+        360
+      ],
+      "size": {
+        "0": 210,
+        "1": 86
+      },
+      "flags": {},
+      "order": 20,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 471
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GetImageSizeAndCount"
+      }
+    },
+    {
+      "id": 188,
+      "type": "Note",
+      "pos": [
+        30,
+        310
+      ],
+      "size": {
+        "0": 229.1644287109375,
+        "1": 95.92726135253906
+      },
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "If you want to crop your driving video, use this as driving_images instead"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 78,
+      "type": "GetImageSizeAndCount",
+      "pos": [
+        -522,
+        -572
+      ],
+      "size": {
+        "0": 210,
+        "1": 86
+      },
+      "flags": {},
+      "order": 16,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 434
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            445,
+            455
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "512 width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "512 height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "1 count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GetImageSizeAndCount"
+      }
+    },
+    {
+      "id": 8,
+      "type": "VHS_LoadVideo",
+      "pos": [
+        -1253,
+        28
+      ],
+      "size": [
+        340.1555480957031,
+        572.1555480957031
+      ],
+      "flags": {},
+      "order": 10,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null
+        },
+        {
+          "name": "frame_load_cap",
+          "type": "INT",
+          "link": 302,
+          "widget": {
+            "name": "frame_load_cap"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            436
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "frame_count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "audio",
+          "type": "VHS_AUDIO",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "video_info",
+          "type": "VHS_VIDEOINFO",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_LoadVideo"
+      },
+      "widgets_values": {
+        "video": "d6.mp4",
+        "force_rate": 0,
+        "force_size": "Disabled",
+        "custom_width": 512,
+        "custom_height": 512,
+        "frame_load_cap": 128,
+        "skip_first_frames": 0,
+        "select_every_nth": 1,
+        "choose video to upload": "image",
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "frame_load_cap": 128,
+            "skip_first_frames": 0,
+            "force_rate": 0,
+            "filename": "d6.mp4",
+            "type": "input",
+            "format": "video/mp4",
+            "select_every_nth": 1
+          }
+        }
+      }
+    },
+    {
+      "id": 165,
+      "type": "ImageResizeKJ",
+      "pos": [
+        -873,
+        -573
+      ],
+      "size": {
+        "0": 315,
+        "1": 242
+      },
+      "flags": {},
+      "order": 12,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 466
+        },
+        {
+          "name": "get_image_size",
+          "type": "IMAGE",
+          "link": null
+        },
+        {
+          "name": "width_input",
+          "type": "INT",
+          "link": null,
+          "widget": {
+            "name": "width_input"
+          }
+        },
+        {
+          "name": "height_input",
+          "type": "INT",
+          "link": null,
+          "widget": {
+            "name": "height_input"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            434
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ImageResizeKJ"
+      },
+      "widgets_values": [
+        512,
+        512,
+        "lanczos",
+        true,
+        2,
+        0,
+        0
+      ]
+    },
+    {
+      "id": 197,
+      "type": "LivePortraitCropper",
+      "pos": [
+        -640,
+        360
+      ],
+      "size": {
+        "0": 330,
+        "1": 242
+      },
+      "flags": {},
+      "order": 17,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "pipeline",
+          "type": "LIVEPORTRAITPIPE",
+          "link": 472,
+          "slot_index": 0
+        },
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "link": 476
+        },
+        {
+          "name": "source_image",
+          "type": "IMAGE",
+          "link": 469
+        }
+      ],
+      "outputs": [
+        {
+          "name": "cropped_image",
+          "type": "IMAGE",
+          "links": [
+            471
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "crop_info",
+          "type": "CROPINFO",
+          "links": [
+            470
+          ],
+          "shape": 3,
+          "slot_index": 1
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitCropper"
+      },
+      "widgets_values": [
+        512,
+        2.3,
+        0,
+        -0.125,
+        0,
+        "large-small",
+        true
+      ]
+    },
+    {
+      "id": 1,
+      "type": "DownloadAndLoadLivePortraitModels",
+      "pos": [
+        -934,
+        -1067
+      ],
+      "size": {
+        "0": 302.43463134765625,
+        "1": 82
+      },
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "live_portrait_pipe",
+          "type": "LIVEPORTRAITPIPE",
+          "links": [
+            446,
+            448,
+            472
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "DownloadAndLoadLivePortraitModels"
+      },
+      "widgets_values": [
+        "auto",
+        "human"
+      ]
+    },
+    {
+      "id": 199,
+      "type": "Reroute",
+      "pos": [
+        -855,
+        -812
+      ],
+      "size": [
+        115.6,
+        26
+      ],
+      "flags": {},
+      "order": 13,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "",
+          "type": "*",
+          "link": 474
+        }
+      ],
+      "outputs": [
+        {
+          "name": "LPCROPPER",
+          "type": "LPCROPPER",
+          "links": [
+            475,
+            476
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "showOutputText": true,
+        "horizontal": false
+      }
+    },
+    {
+      "id": 133,
+      "type": "PrimitiveNode",
+      "pos": [
+        -1533,
+        -164
+      ],
+      "size": {
+        "0": 210,
+        "1": 82
+      },
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "INT",
+          "type": "INT",
+          "links": [
+            302
+          ],
+          "widget": {
+            "name": "frame_load_cap"
+          },
+          "slot_index": 0
+        }
+      ],
+      "title": "frame_load_cap",
+      "properties": {
+        "Run widget replace on values": false
+      },
+      "widgets_values": [
+        128,
+        "fixed"
+      ]
+    },
+    {
+      "id": 187,
+      "type": "Note",
+      "pos": [
+        80,
+        140
+      ],
+      "size": {
+        "0": 210,
+        "1": 58
+      },
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "Connect this if you want to use the eye/lip retargeting mode"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 182,
+      "type": "GetImageSizeAndCount",
+      "pos": [
+        -850,
+        -195
+      ],
+      "size": {
+        "0": 210,
+        "1": 86
+      },
+      "flags": {},
+      "order": 14,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 436
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            451,
+            469
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "480 width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "480 height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "128 count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GetImageSizeAndCount"
+      }
+    },
+    {
+      "id": 180,
+      "type": "LivePortraitRetargeting",
+      "pos": [
+        -390,
+        120
+      ],
+      "size": {
+        "0": 430.8000183105469,
+        "1": 130
+      },
+      "flags": {},
+      "order": 21,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "driving_crop_info",
+          "type": "CROPINFO",
+          "link": 470,
+          "slot_index": 0
+        }
+      ],
+      "outputs": [
+        {
+          "name": "retargeting_info",
+          "type": "RETARGETINGINFO",
+          "links": [],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitRetargeting"
+      },
+      "widgets_values": [
+        true,
+        1,
+        true,
+        1
+      ]
+    },
+    {
+      "id": 83,
+      "type": "CreateShapeMask",
+      "pos": [
+        407,
+        -876
+      ],
+      "size": {
+        "0": 315,
+        "1": 270
+      },
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": [
+            192
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "mask_inverted",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "CreateShapeMask"
+      },
+      "widgets_values": [
+        "square",
+        1,
+        256,
+        256,
+        0,
+        512,
+        512,
+        480,
+        480
+      ]
+    },
+    {
+      "id": 81,
+      "type": "GrowMaskWithBlur",
+      "pos": [
+        751,
+        -873
+      ],
+      "size": {
+        "0": 315,
+        "1": 246
+      },
+      "flags": {},
+      "order": 11,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 192,
+          "slot_index": 0
+        }
+      ],
+      "outputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": [
+            187,
+            463
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "mask_inverted",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GrowMaskWithBlur"
+      },
+      "widgets_values": [
+        0,
+        0,
+        true,
+        false,
+        13.9,
+        1,
+        1,
+        false
+      ]
+    },
+    {
+      "id": 82,
+      "type": "MaskPreview+",
+      "pos": [
+        1091,
+        -873
+      ],
+      "size": {
+        "0": 210,
+        "1": 246
+      },
+      "flags": {},
+      "order": 15,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 187
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "MaskPreview+"
+      }
+    },
+    {
+      "id": 181,
+      "type": "GetImageSizeAndCount",
+      "pos": [
+        1083,
+        -443
+      ],
+      "size": {
+        "0": 210,
+        "1": 86
+      },
+      "flags": {},
+      "order": 24,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 458
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            478
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "512 width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "512 height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "128 count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GetImageSizeAndCount"
+      }
+    },
+    {
+      "id": 168,
+      "type": "VHS_VideoCombine",
+      "pos": [
+        630,
+        -302
+      ],
+      "size": [
+        669.8613891601562,
+        973.8613891601562
+      ],
+      "flags": {},
+      "order": 25,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 478
+        },
+        {
+          "name": "audio",
+          "type": "VHS_AUDIO",
+          "link": null
+        },
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "Filenames",
+          "type": "VHS_FILENAMES",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_VideoCombine"
+      },
+      "widgets_values": {
+        "frame_rate": 16,
+        "loop_count": 0,
+        "filename_prefix": "LivePortrait",
+        "format": "video/h264-mp4",
+        "pix_fmt": "yuv420p",
+        "crf": 19,
+        "save_metadata": true,
+        "pingpong": false,
+        "save_output": false,
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "filename": "LivePortrait_00002.mp4",
+            "subfolder": "",
+            "type": "temp",
+            "format": "video/h264-mp4",
+            "frame_rate": 16
+          }
+        }
+      }
+    },
+    {
+      "id": 196,
+      "type": "LoadImage",
+      "pos": [
+        -1267,
+        -582
+      ],
+      "size": {
+        "0": 330.4995422363281,
+        "1": 384.2416687011719
+      },
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            466
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "ComfyUI_temp_gjesb_00023_.png",
+        "image"
+      ]
+    },
+    {
+      "id": 192,
+      "type": "Reroute",
+      "pos": [
+        73,
+        -519
+      ],
+      "size": [
+        82,
+        26
+      ],
+      "flags": {},
+      "order": 19,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "",
+          "type": "*",
+          "link": 455
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            456,
+            457
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "showOutputText": true,
+        "horizontal": false
+      }
+    },
+    {
+      "id": 191,
+      "type": "LivePortraitComposite",
+      "pos": [
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+        -507
+      ],
+      "size": {
+        "0": 355.20001220703125,
+        "1": 86
+      },
+      "flags": {},
+      "order": 23,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "source_image",
+          "type": "IMAGE",
+          "link": 457
+        },
+        {
+          "name": "cropped_image",
+          "type": "IMAGE",
+          "link": 454
+        },
+        {
+          "name": "liveportrait_out",
+          "type": "LP_OUT",
+          "link": 452
+        },
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 463
+        }
+      ],
+      "outputs": [
+        {
+          "name": "full_images",
+          "type": "IMAGE",
+          "links": [
+            458
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitComposite"
+      }
+    },
+    {
+      "id": 189,
+      "type": "LivePortraitCropper",
+      "pos": [
+        -203,
+        -830
+      ],
+      "size": {
+        "0": 330,
+        "1": 242
+      },
+      "flags": {},
+      "order": 18,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "pipeline",
+          "type": "LIVEPORTRAITPIPE",
+          "link": 446,
+          "slot_index": 0
+        },
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "link": 475,
+          "slot_index": 1
+        },
+        {
+          "name": "source_image",
+          "type": "IMAGE",
+          "link": 445
+        }
+      ],
+      "outputs": [
+        {
+          "name": "cropped_image",
+          "type": "IMAGE",
+          "links": null,
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "crop_info",
+          "type": "CROPINFO",
+          "links": [
+            449
+          ],
+          "shape": 3,
+          "slot_index": 1
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitCropper"
+      },
+      "widgets_values": [
+        512,
+        2.3,
+        0,
+        -0.125,
+        0,
+        "large-small",
+        true
+      ]
+    },
+    {
+      "id": 201,
+      "type": "LivePortraitLoadFaceAlignmentCropper",
+      "pos": [
+        -1267,
+        -1107
+      ],
+      "size": {
+        "0": 319.20001220703125,
+        "1": 154
+      },
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitLoadFaceAlignmentCropper"
+      },
+      "widgets_values": [
+        "blazeface_back_camera",
+        "torch_gpu",
+        "cuda",
+        "fp16",
+        true
+      ]
+    },
+    {
+      "id": 200,
+      "type": "Note",
+      "pos": [
+        -1598,
+        -968
+      ],
+      "size": {
+        "0": 273.2294921875,
+        "1": 223.99388122558594
+      },
+      "flags": {},
+      "order": 8,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "Choose your face detector here, MediaPipe doesn't run on GPU and isn't as good at detecting, but is faster on CPU and has Apache 2.0 license.\n\nFaceAlignment is also uses blazeface like MediaPipe, but can also use the back_camera version that's much better at detecting smaller faces. BSD3 License\n\nInsightface can be run on GPU and is better at detecting, but it's model license is NON-COMMERCIAL"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 198,
+      "type": "LivePortraitLoadMediaPipeCropper",
+      "pos": [
+        -1260,
+        -893
+      ],
+      "size": {
+        "0": 315,
+        "1": 82
+      },
+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "links": [
+            474
+          ],
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitLoadMediaPipeCropper"
+      },
+      "widgets_values": [
+        "CPU",
+        true
+      ]
+    },
+    {
+      "id": 190,
+      "type": "LivePortraitProcess",
+      "pos": [
+        166,
+        -422
+      ],
+      "size": {
+        "0": 430.8000183105469,
+        "1": 330
+      },
+      "flags": {},
+      "order": 22,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "pipeline",
+          "type": "LIVEPORTRAITPIPE",
+          "link": 448
+        },
+        {
+          "name": "crop_info",
+          "type": "CROPINFO",
+          "link": 449
+        },
+        {
+          "name": "source_image",
+          "type": "IMAGE",
+          "link": 456
+        },
+        {
+          "name": "driving_images",
+          "type": "IMAGE",
+          "link": 451
+        },
+        {
+          "name": "opt_retargeting_info",
+          "type": "RETARGETINGINFO",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "cropped_image",
+          "type": "IMAGE",
+          "links": [
+            454
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "output",
+          "type": "LP_OUT",
+          "links": [
+            452
+          ],
+          "shape": 3,
+          "slot_index": 1
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitProcess"
+      },
+      "widgets_values": [
+        false,
+        0.03,
+        true,
+        1,
+        "constant",
+        "relative",
+        0.000003,
+        true,
+        1
+      ]
+    }
+  ],
+  "links": [
+    [
+      187,
+      81,
+      0,
+      82,
+      0,
+      "MASK"
+    ],
+    [
+      192,
+      83,
+      0,
+      81,
+      0,
+      "MASK"
+    ],
+    [
+      302,
+      133,
+      0,
+      8,
+      2,
+      "INT"
+    ],
+    [
+      434,
+      165,
+      0,
+      78,
+      0,
+      "IMAGE"
+    ],
+    [
+      436,
+      8,
+      0,
+      182,
+      0,
+      "IMAGE"
+    ],
+    [
+      445,
+      78,
+      0,
+      189,
+      2,
+      "IMAGE"
+    ],
+    [
+      446,
+      1,
+      0,
+      189,
+      0,
+      "LIVEPORTRAITPIPE"
+    ],
+    [
+      448,
+      1,
+      0,
+      190,
+      0,
+      "LIVEPORTRAITPIPE"
+    ],
+    [
+      449,
+      189,
+      1,
+      190,
+      1,
+      "CROPINFO"
+    ],
+    [
+      451,
+      182,
+      0,
+      190,
+      3,
+      "IMAGE"
+    ],
+    [
+      452,
+      190,
+      1,
+      191,
+      2,
+      "LP_OUT"
+    ],
+    [
+      454,
+      190,
+      0,
+      191,
+      1,
+      "IMAGE"
+    ],
+    [
+      455,
+      78,
+      0,
+      192,
+      0,
+      "*"
+    ],
+    [
+      456,
+      192,
+      0,
+      190,
+      2,
+      "IMAGE"
+    ],
+    [
+      457,
+      192,
+      0,
+      191,
+      0,
+      "IMAGE"
+    ],
+    [
+      458,
+      191,
+      0,
+      181,
+      0,
+      "IMAGE"
+    ],
+    [
+      463,
+      81,
+      0,
+      191,
+      3,
+      "MASK"
+    ],
+    [
+      466,
+      196,
+      0,
+      165,
+      0,
+      "IMAGE"
+    ],
+    [
+      469,
+      182,
+      0,
+      197,
+      2,
+      "IMAGE"
+    ],
+    [
+      470,
+      197,
+      1,
+      180,
+      0,
+      "CROPINFO"
+    ],
+    [
+      471,
+      197,
+      0,
+      134,
+      0,
+      "IMAGE"
+    ],
+    [
+      472,
+      1,
+      0,
+      197,
+      0,
+      "LIVEPORTRAITPIPE"
+    ],
+    [
+      474,
+      198,
+      0,
+      199,
+      0,
+      "*"
+    ],
+    [
+      475,
+      199,
+      0,
+      189,
+      1,
+      "LPCROPPER"
+    ],
+    [
+      476,
+      199,
+      0,
+      197,
+      1,
+      "LPCROPPER"
+    ],
+    [
+      478,
+      181,
+      0,
+      168,
+      0,
+      "IMAGE"
+    ]
+  ],
+  "groups": [],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 0.620921323059155,
+      "offset": {
+        "0": 1355.4192699221378,
+        "1": 1004.737376044247
+      }
+    }
+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/examples/liveportrait_realtime_example_01.json b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/examples/liveportrait_realtime_example_01.json
new file mode 100644
index 0000000000000000000000000000000000000000..6144fa1a6c8e42d1e94a952928671aa4e20b169c
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/examples/liveportrait_realtime_example_01.json
@@ -0,0 +1,593 @@
+{
+  "last_node_id": 208,
+  "last_link_id": 480,
+  "nodes": [
+    {
+      "id": 204,
+      "type": "LivePortraitLoadMediaPipeCropper",
+      "pos": [
+        -1059,
+        -767
+      ],
+      "size": {
+        "0": 315,
+        "1": 82
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "links": [
+            478
+          ],
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitLoadMediaPipeCropper"
+      },
+      "widgets_values": [
+        "CPU",
+        true
+      ]
+    },
+    {
+      "id": 1,
+      "type": "DownloadAndLoadLivePortraitModels",
+      "pos": [
+        -1046,
+        -904
+      ],
+      "size": {
+        "0": 302.43463134765625,
+        "1": 58
+      },
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "live_portrait_pipe",
+          "type": "LIVEPORTRAITPIPE",
+          "links": [
+            446,
+            448
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "DownloadAndLoadLivePortraitModels"
+      },
+      "widgets_values": [
+        "auto"
+      ]
+    },
+    {
+      "id": 165,
+      "type": "ImageResizeKJ",
+      "pos": [
+        -715,
+        -617
+      ],
+      "size": {
+        "0": 315,
+        "1": 242
+      },
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 466
+        },
+        {
+          "name": "get_image_size",
+          "type": "IMAGE",
+          "link": null
+        },
+        {
+          "name": "width_input",
+          "type": "INT",
+          "link": null,
+          "widget": {
+            "name": "width_input"
+          }
+        },
+        {
+          "name": "height_input",
+          "type": "INT",
+          "link": null,
+          "widget": {
+            "name": "height_input"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            434
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ImageResizeKJ"
+      },
+      "widgets_values": [
+        512,
+        512,
+        "lanczos",
+        true,
+        2,
+        0,
+        0
+      ]
+    },
+    {
+      "id": 78,
+      "type": "GetImageSizeAndCount",
+      "pos": [
+        -364,
+        -619
+      ],
+      "size": {
+        "0": 210,
+        "1": 86
+      },
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 434
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            445,
+            475
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "512 width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "384 height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "1 count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GetImageSizeAndCount"
+      }
+    },
+    {
+      "id": 207,
+      "type": "Note",
+      "pos": [
+        -850,
+        -202
+      ],
+      "size": [
+        230.3331222759989,
+        105.34622315856666
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "Example live inputs, direct webcam capture using cv2 or screencapture using mss. Both are about same speed."
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 206,
+      "type": "Screencap_mss",
+      "pos": [
+        -568,
+        -34
+      ],
+      "size": {
+        "0": 315,
+        "1": 178
+      },
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "Screencap_mss"
+      },
+      "widgets_values": [
+        0,
+        0,
+        512,
+        512,
+        1,
+        0.1
+      ]
+    },
+    {
+      "id": 198,
+      "type": "PreviewImage",
+      "pos": [
+        413,
+        -826
+      ],
+      "size": {
+        "0": 521.2196044921875,
+        "1": 566.1187133789062
+      },
+      "flags": {},
+      "order": 10,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 470
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "PreviewImage"
+      }
+    },
+    {
+      "id": 196,
+      "type": "LoadImage",
+      "pos": [
+        -1058,
+        -623
+      ],
+      "size": {
+        "0": 315,
+        "1": 314
+      },
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            466
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "Mona-Lisa-oil-wood-panel-Leonardo-da.webp",
+        "image"
+      ]
+    },
+    {
+      "id": 205,
+      "type": "WebcamCaptureCV2",
+      "pos": [
+        -577,
+        -283
+      ],
+      "size": {
+        "0": 315,
+        "1": 178
+      },
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            479
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "WebcamCaptureCV2"
+      },
+      "widgets_values": [
+        0,
+        0,
+        512,
+        512,
+        0,
+        false
+      ]
+    },
+    {
+      "id": 190,
+      "type": "LivePortraitProcess",
+      "pos": [
+        -79,
+        -552
+      ],
+      "size": {
+        "0": 430.8000183105469,
+        "1": 282
+      },
+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "pipeline",
+          "type": "LIVEPORTRAITPIPE",
+          "link": 448
+        },
+        {
+          "name": "crop_info",
+          "type": "CROPINFO",
+          "link": 449
+        },
+        {
+          "name": "source_image",
+          "type": "IMAGE",
+          "link": 475
+        },
+        {
+          "name": "driving_images",
+          "type": "IMAGE",
+          "link": 479,
+          "slot_index": 3
+        },
+        {
+          "name": "opt_retargeting_info",
+          "type": "RETARGETINGINFO",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "cropped_image",
+          "type": "IMAGE",
+          "links": [
+            470
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "output",
+          "type": "LP_OUT",
+          "links": [],
+          "shape": 3,
+          "slot_index": 1
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitProcess"
+      },
+      "widgets_values": [
+        false,
+        0.03,
+        true,
+        1,
+        "constant",
+        "single_frame",
+        0.000003
+      ]
+    },
+    {
+      "id": 189,
+      "type": "LivePortraitCropper",
+      "pos": [
+        -73,
+        -876
+      ],
+      "size": {
+        "0": 330,
+        "1": 242
+      },
+      "flags": {},
+      "order": 8,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "pipeline",
+          "type": "LIVEPORTRAITPIPE",
+          "link": 446,
+          "slot_index": 0
+        },
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "link": 478,
+          "slot_index": 1
+        },
+        {
+          "name": "source_image",
+          "type": "IMAGE",
+          "link": 445
+        }
+      ],
+      "outputs": [
+        {
+          "name": "cropped_image",
+          "type": "IMAGE",
+          "links": null,
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "crop_info",
+          "type": "CROPINFO",
+          "links": [
+            449
+          ],
+          "shape": 3,
+          "slot_index": 1
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitCropper"
+      },
+      "widgets_values": [
+        512,
+        2.34,
+        0.099,
+        0.148,
+        0,
+        "large-small",
+        false
+      ]
+    }
+  ],
+  "links": [
+    [
+      434,
+      165,
+      0,
+      78,
+      0,
+      "IMAGE"
+    ],
+    [
+      445,
+      78,
+      0,
+      189,
+      2,
+      "IMAGE"
+    ],
+    [
+      446,
+      1,
+      0,
+      189,
+      0,
+      "LIVEPORTRAITPIPE"
+    ],
+    [
+      448,
+      1,
+      0,
+      190,
+      0,
+      "LIVEPORTRAITPIPE"
+    ],
+    [
+      449,
+      189,
+      1,
+      190,
+      1,
+      "CROPINFO"
+    ],
+    [
+      466,
+      196,
+      0,
+      165,
+      0,
+      "IMAGE"
+    ],
+    [
+      470,
+      190,
+      0,
+      198,
+      0,
+      "IMAGE"
+    ],
+    [
+      475,
+      78,
+      0,
+      190,
+      2,
+      "IMAGE"
+    ],
+    [
+      478,
+      204,
+      0,
+      189,
+      1,
+      "LPCROPPER"
+    ],
+    [
+      479,
+      205,
+      0,
+      190,
+      3,
+      "IMAGE"
+    ]
+  ],
+  "groups": [],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 0.7513148009015781,
+      "offset": {
+        "0": 1468.4081568988054,
+        "1": 1224.8414164288351
+      }
+    }
+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/examples/liveportrait_video_example_02.json b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/examples/liveportrait_video_example_02.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf44bfb1d46749f306c6cf73f2237df505383e34
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/examples/liveportrait_video_example_02.json
@@ -0,0 +1,1662 @@
+{
+  "last_node_id": 198,
+  "last_link_id": 477,
+  "nodes": [
+    {
+      "id": 165,
+      "type": "ImageResizeKJ",
+      "pos": [
+        -873,
+        -573
+      ],
+      "size": {
+        "0": 315,
+        "1": 242
+      },
+      "flags": {},
+      "order": 14,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 433
+        },
+        {
+          "name": "get_image_size",
+          "type": "IMAGE",
+          "link": null
+        },
+        {
+          "name": "width_input",
+          "type": "INT",
+          "link": null,
+          "widget": {
+            "name": "width_input"
+          }
+        },
+        {
+          "name": "height_input",
+          "type": "INT",
+          "link": null,
+          "widget": {
+            "name": "height_input"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            434
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ImageResizeKJ"
+      },
+      "widgets_values": [
+        1024,
+        1024,
+        "bilinear",
+        true,
+        2,
+        0,
+        0
+      ]
+    },
+    {
+      "id": 82,
+      "type": "MaskPreview+",
+      "pos": [
+        1410,
+        -810
+      ],
+      "size": {
+        "0": 210,
+        "1": 246
+      },
+      "flags": {},
+      "order": 12,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 187
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "MaskPreview+"
+      }
+    },
+    {
+      "id": 83,
+      "type": "CreateShapeMask",
+      "pos": [
+        690,
+        -800
+      ],
+      "size": {
+        "0": 315,
+        "1": 270
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": [
+            192
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "mask_inverted",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "CreateShapeMask"
+      },
+      "widgets_values": [
+        "circle",
+        1,
+        256,
+        256,
+        0,
+        512,
+        512,
+        472,
+        472
+      ]
+    },
+    {
+      "id": 133,
+      "type": "PrimitiveNode",
+      "pos": [
+        -1576,
+        -82
+      ],
+      "size": {
+        "0": 210,
+        "1": 82
+      },
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "INT",
+          "type": "INT",
+          "links": [
+            302,
+            324
+          ],
+          "widget": {
+            "name": "frame_load_cap"
+          },
+          "slot_index": 0
+        }
+      ],
+      "title": "frame_load_cap",
+      "properties": {
+        "Run widget replace on values": false
+      },
+      "widgets_values": [
+        128,
+        "fixed"
+      ]
+    },
+    {
+      "id": 182,
+      "type": "GetImageSizeAndCount",
+      "pos": [
+        -831,
+        37
+      ],
+      "size": {
+        "0": 210,
+        "1": 86
+      },
+      "flags": {},
+      "order": 13,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 436
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            451,
+            465
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "480 width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "480 height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "128 count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GetImageSizeAndCount"
+      }
+    },
+    {
+      "id": 78,
+      "type": "GetImageSizeAndCount",
+      "pos": [
+        -522,
+        -572
+      ],
+      "size": {
+        "0": 210,
+        "1": 86
+      },
+      "flags": {},
+      "order": 18,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 434
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            445,
+            455
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "1024 width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "580 height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "128 count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GetImageSizeAndCount"
+      }
+    },
+    {
+      "id": 192,
+      "type": "Reroute",
+      "pos": [
+        423,
+        -466
+      ],
+      "size": [
+        82,
+        26
+      ],
+      "flags": {},
+      "order": 22,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "",
+          "type": "*",
+          "link": 455
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            456,
+            457
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "showOutputText": true,
+        "horizontal": false
+      }
+    },
+    {
+      "id": 8,
+      "type": "VHS_LoadVideo",
+      "pos": [
+        -1253,
+        28
+      ],
+      "size": [
+        340.1555480957031,
+        572.1555480957031
+      ],
+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null
+        },
+        {
+          "name": "frame_load_cap",
+          "type": "INT",
+          "link": 302,
+          "widget": {
+            "name": "frame_load_cap"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            436
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "frame_count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "audio",
+          "type": "VHS_AUDIO",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "video_info",
+          "type": "VHS_VIDEOINFO",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_LoadVideo"
+      },
+      "widgets_values": {
+        "video": "d6.mp4",
+        "force_rate": 0,
+        "force_size": "Disabled",
+        "custom_width": 512,
+        "custom_height": 512,
+        "frame_load_cap": 128,
+        "skip_first_frames": 0,
+        "select_every_nth": 1,
+        "choose video to upload": "image",
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "frame_load_cap": 128,
+            "skip_first_frames": 0,
+            "force_rate": 0,
+            "filename": "d6.mp4",
+            "type": "input",
+            "format": "video/mp4",
+            "select_every_nth": 1
+          }
+        }
+      }
+    },
+    {
+      "id": 193,
+      "type": "VHS_VideoInfo",
+      "pos": [
+        -1064,
+        -48
+      ],
+      "size": {
+        "0": 393,
+        "1": 206
+      },
+      "flags": {
+        "collapsed": true
+      },
+      "order": 16,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "video_info",
+          "type": "VHS_VIDEOINFO",
+          "link": 459
+        }
+      ],
+      "outputs": [
+        {
+          "name": "source_fps🟨",
+          "type": "FLOAT",
+          "links": [
+            460
+          ],
+          "shape": 3
+        },
+        {
+          "name": "source_frame_count🟨",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "source_duration🟨",
+          "type": "FLOAT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "source_width🟨",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "source_height🟨",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "loaded_fps🟦",
+          "type": "FLOAT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "loaded_frame_count🟦",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "loaded_duration🟦",
+          "type": "FLOAT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "loaded_width🟦",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "loaded_height🟦",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_VideoInfo"
+      },
+      "widgets_values": {}
+    },
+    {
+      "id": 194,
+      "type": "Reroute",
+      "pos": [
+        -1054,
+        -114
+      ],
+      "size": [
+        115.6,
+        26
+      ],
+      "flags": {},
+      "order": 15,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "",
+          "type": "*",
+          "link": 461
+        }
+      ],
+      "outputs": [
+        {
+          "name": "VHS_AUDIO",
+          "type": "VHS_AUDIO",
+          "links": [
+            462
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "showOutputText": true,
+        "horizontal": false
+      }
+    },
+    {
+      "id": 187,
+      "type": "Note",
+      "pos": [
+        118,
+        -243
+      ],
+      "size": {
+        "0": 210,
+        "1": 58
+      },
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "Connect this if you want to use the eye/lip retargeting mode"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 190,
+      "type": "LivePortraitProcess",
+      "pos": [
+        551,
+        -383
+      ],
+      "size": {
+        "0": 430.8000183105469,
+        "1": 282
+      },
+      "flags": {},
+      "order": 23,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "pipeline",
+          "type": "LIVEPORTRAITPIPE",
+          "link": 448
+        },
+        {
+          "name": "crop_info",
+          "type": "CROPINFO",
+          "link": 449
+        },
+        {
+          "name": "source_image",
+          "type": "IMAGE",
+          "link": 456
+        },
+        {
+          "name": "driving_images",
+          "type": "IMAGE",
+          "link": 451
+        },
+        {
+          "name": "opt_retargeting_info",
+          "type": "RETARGETINGINFO",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "cropped_image",
+          "type": "IMAGE",
+          "links": [
+            454
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "output",
+          "type": "LP_OUT",
+          "links": [
+            452
+          ],
+          "shape": 3,
+          "slot_index": 1
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitProcess"
+      },
+      "widgets_values": [
+        false,
+        0.03,
+        true,
+        1,
+        "constant",
+        "source_video_smoothed",
+        0.000003
+      ]
+    },
+    {
+      "id": 191,
+      "type": "LivePortraitComposite",
+      "pos": [
+        1013,
+        -440
+      ],
+      "size": {
+        "0": 355.20001220703125,
+        "1": 86
+      },
+      "flags": {},
+      "order": 24,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "source_image",
+          "type": "IMAGE",
+          "link": 457
+        },
+        {
+          "name": "cropped_image",
+          "type": "IMAGE",
+          "link": 454
+        },
+        {
+          "name": "liveportrait_out",
+          "type": "LP_OUT",
+          "link": 452
+        },
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 471
+        }
+      ],
+      "outputs": [
+        {
+          "name": "full_images",
+          "type": "IMAGE",
+          "links": [
+            458
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitComposite"
+      }
+    },
+    {
+      "id": 181,
+      "type": "GetImageSizeAndCount",
+      "pos": [
+        1400,
+        -432
+      ],
+      "size": {
+        "0": 210,
+        "1": 86
+      },
+      "flags": {},
+      "order": 25,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 458
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            469
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "1024 width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "580 height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "128 count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GetImageSizeAndCount"
+      }
+    },
+    {
+      "id": 168,
+      "type": "VHS_VideoCombine",
+      "pos": [
+        1012,
+        -244
+      ],
+      "size": [
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+        695.6427014593934
+      ],
+      "flags": {},
+      "order": 26,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 469
+        },
+        {
+          "name": "audio",
+          "type": "VHS_AUDIO",
+          "link": 462
+        },
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null
+        },
+        {
+          "name": "frame_rate",
+          "type": "FLOAT",
+          "link": 460,
+          "widget": {
+            "name": "frame_rate"
+          },
+          "slot_index": 4
+        }
+      ],
+      "outputs": [
+        {
+          "name": "Filenames",
+          "type": "VHS_FILENAMES",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_VideoCombine"
+      },
+      "widgets_values": {
+        "frame_rate": 16,
+        "loop_count": 0,
+        "filename_prefix": "LivePortrait",
+        "format": "video/h264-mp4",
+        "pix_fmt": "yuv420p",
+        "crf": 19,
+        "save_metadata": true,
+        "pingpong": false,
+        "save_output": false,
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "filename": "LivePortrait_00006-audio.mp4",
+            "subfolder": "",
+            "type": "temp",
+            "format": "video/h264-mp4",
+            "frame_rate": 24.087404244631422
+          }
+        }
+      }
+    },
+    {
+      "id": 146,
+      "type": "VHS_LoadVideo",
+      "pos": [
+        -1271,
+        -572
+      ],
+      "size": [
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+        433.2201215636055
+      ],
+      "flags": {},
+      "order": 10,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null
+        },
+        {
+          "name": "frame_load_cap",
+          "type": "INT",
+          "link": 324,
+          "widget": {
+            "name": "frame_load_cap"
+          },
+          "slot_index": 2
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            433
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "frame_count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "audio",
+          "type": "VHS_AUDIO",
+          "links": [
+            461
+          ],
+          "shape": 3,
+          "slot_index": 2
+        },
+        {
+          "name": "video_info",
+          "type": "VHS_VIDEOINFO",
+          "links": [
+            459
+          ],
+          "shape": 3,
+          "slot_index": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_LoadVideo"
+      },
+      "widgets_values": {
+        "video": "Kung_Fu_Neo_vs_Morpheus_Trim_1.mp4",
+        "force_rate": 0,
+        "force_size": "Disabled",
+        "custom_width": 512,
+        "custom_height": 512,
+        "frame_load_cap": 128,
+        "skip_first_frames": 0,
+        "select_every_nth": 1,
+        "choose video to upload": "image",
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "frame_load_cap": 128,
+            "skip_first_frames": 0,
+            "force_rate": 0,
+            "filename": "Kung_Fu_Neo_vs_Morpheus_Trim_1.mp4",
+            "type": "input",
+            "format": "video/mp4",
+            "select_every_nth": 1
+          }
+        }
+      }
+    },
+    {
+      "id": 195,
+      "type": "LivePortraitCropper",
+      "pos": [
+        -636,
+        187
+      ],
+      "size": {
+        "0": 330,
+        "1": 242
+      },
+      "flags": {},
+      "order": 17,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "pipeline",
+          "type": "LIVEPORTRAITPIPE",
+          "link": 466,
+          "slot_index": 0
+        },
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "link": 476
+        },
+        {
+          "name": "source_image",
+          "type": "IMAGE",
+          "link": 465
+        }
+      ],
+      "outputs": [
+        {
+          "name": "cropped_image",
+          "type": "IMAGE",
+          "links": [
+            470
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "crop_info",
+          "type": "CROPINFO",
+          "links": [
+            467
+          ],
+          "shape": 3,
+          "slot_index": 1
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitCropper"
+      },
+      "widgets_values": [
+        512,
+        2.3,
+        0,
+        -0.125,
+        0,
+        "large-small",
+        true
+      ]
+    },
+    {
+      "id": 180,
+      "type": "LivePortraitRetargeting",
+      "pos": [
+        -265,
+        3
+      ],
+      "size": {
+        "0": 430.8000183105469,
+        "1": 130
+      },
+      "flags": {},
+      "order": 20,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "driving_crop_info",
+          "type": "CROPINFO",
+          "link": 467,
+          "slot_index": 0
+        }
+      ],
+      "outputs": [
+        {
+          "name": "retargeting_info",
+          "type": "RETARGETINGINFO",
+          "links": [],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitRetargeting"
+      },
+      "widgets_values": [
+        true,
+        1,
+        true,
+        1
+      ]
+    },
+    {
+      "id": 134,
+      "type": "GetImageSizeAndCount",
+      "pos": [
+        -241,
+        247
+      ],
+      "size": {
+        "0": 210,
+        "1": 86
+      },
+      "flags": {},
+      "order": 19,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 470
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "count",
+          "type": "INT",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GetImageSizeAndCount"
+      }
+    },
+    {
+      "id": 188,
+      "type": "Note",
+      "pos": [
+        13,
+        222
+      ],
+      "size": {
+        "0": 229.1644287109375,
+        "1": 95.92726135253906
+      },
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "If you want to crop your driving video, use this as driving_images instead"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 81,
+      "type": "GrowMaskWithBlur",
+      "pos": [
+        1050,
+        -800
+      ],
+      "size": {
+        "0": 315,
+        "1": 246
+      },
+      "flags": {},
+      "order": 8,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 192,
+          "slot_index": 0
+        }
+      ],
+      "outputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": [
+            187,
+            471
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "mask_inverted",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GrowMaskWithBlur"
+      },
+      "widgets_values": [
+        0,
+        0,
+        true,
+        false,
+        13.9,
+        1,
+        1,
+        false
+      ]
+    },
+    {
+      "id": 189,
+      "type": "LivePortraitCropper",
+      "pos": [
+        -3,
+        -755
+      ],
+      "size": {
+        "0": 330,
+        "1": 242
+      },
+      "flags": {},
+      "order": 21,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "pipeline",
+          "type": "LIVEPORTRAITPIPE",
+          "link": 446,
+          "slot_index": 0
+        },
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "link": 477,
+          "slot_index": 1
+        },
+        {
+          "name": "source_image",
+          "type": "IMAGE",
+          "link": 445
+        }
+      ],
+      "outputs": [
+        {
+          "name": "cropped_image",
+          "type": "IMAGE",
+          "links": null,
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "crop_info",
+          "type": "CROPINFO",
+          "links": [
+            449
+          ],
+          "shape": 3,
+          "slot_index": 1
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitCropper"
+      },
+      "widgets_values": [
+        512,
+        2.3,
+        0,
+        -0.125,
+        0,
+        "large-small",
+        true
+      ]
+    },
+    {
+      "id": 1,
+      "type": "DownloadAndLoadLivePortraitModels",
+      "pos": [
+        -1247,
+        -1022
+      ],
+      "size": {
+        "0": 302.43463134765625,
+        "1": 58
+      },
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "live_portrait_pipe",
+          "type": "LIVEPORTRAITPIPE",
+          "links": [
+            446,
+            448,
+            466
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "DownloadAndLoadLivePortraitModels"
+      },
+      "widgets_values": [
+        "auto"
+      ]
+    },
+    {
+      "id": 129,
+      "type": "LivePortraitLoadCropper",
+      "pos": [
+        -1253,
+        -757
+      ],
+      "size": {
+        "0": 315,
+        "1": 82
+      },
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "links": [],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitLoadCropper"
+      },
+      "widgets_values": [
+        "CPU",
+        true
+      ]
+    },
+    {
+      "id": 196,
+      "type": "LivePortraitLoadMediaPipeCropper",
+      "pos": [
+        -1253,
+        -896
+      ],
+      "size": {
+        "0": 315,
+        "1": 82
+      },
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "cropper",
+          "type": "LPCROPPER",
+          "links": [
+            475
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LivePortraitLoadMediaPipeCropper"
+      },
+      "widgets_values": [
+        "CPU",
+        true
+      ]
+    },
+    {
+      "id": 197,
+      "type": "Reroute",
+      "pos": [
+        -776,
+        -854
+      ],
+      "size": [
+        115.6,
+        26
+      ],
+      "flags": {},
+      "order": 11,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "",
+          "type": "*",
+          "link": 475
+        }
+      ],
+      "outputs": [
+        {
+          "name": "LPCROPPER",
+          "type": "LPCROPPER",
+          "links": [
+            476,
+            477
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "showOutputText": true,
+        "horizontal": false
+      }
+    },
+    {
+      "id": 198,
+      "type": "Note",
+      "pos": [
+        -1537,
+        -865
+      ],
+      "size": {
+        "0": 265.68304443359375,
+        "1": 168.53929138183594
+      },
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "Choose your face detector here, MediaPipe doesn't run on GPU and isn't as good at detecting, but is faster on CPU and has Apache 2.0 license.\n\nInsightface can be run on GPU and is better at detecting, but it's model license is NON-COMMERCIAL"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    }
+  ],
+  "links": [
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+      81,
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+      0,
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+      8,
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+      1,
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+    [
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+      1,
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+    ],
+    [
+      449,
+      189,
+      1,
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+      1,
+      "CROPINFO"
+    ],
+    [
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+      182,
+      0,
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+      3,
+      "IMAGE"
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+    [
+      452,
+      190,
+      1,
+      191,
+      2,
+      "LP_OUT"
+    ],
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+    [
+      455,
+      78,
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+      0,
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+    ],
+    [
+      456,
+      192,
+      0,
+      190,
+      2,
+      "IMAGE"
+    ],
+    [
+      457,
+      192,
+      0,
+      191,
+      0,
+      "IMAGE"
+    ],
+    [
+      458,
+      191,
+      0,
+      181,
+      0,
+      "IMAGE"
+    ],
+    [
+      459,
+      146,
+      3,
+      193,
+      0,
+      "VHS_VIDEOINFO"
+    ],
+    [
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+      0,
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+    [
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+    ],
+    [
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+      182,
+      0,
+      195,
+      2,
+      "IMAGE"
+    ],
+    [
+      466,
+      1,
+      0,
+      195,
+      0,
+      "LIVEPORTRAITPIPE"
+    ],
+    [
+      467,
+      195,
+      1,
+      180,
+      0,
+      "CROPINFO"
+    ],
+    [
+      469,
+      181,
+      0,
+      168,
+      0,
+      "IMAGE"
+    ],
+    [
+      470,
+      195,
+      0,
+      134,
+      0,
+      "IMAGE"
+    ],
+    [
+      471,
+      81,
+      0,
+      191,
+      3,
+      "MASK"
+    ],
+    [
+      475,
+      196,
+      0,
+      197,
+      0,
+      "*"
+    ],
+    [
+      476,
+      197,
+      0,
+      195,
+      1,
+      "LPCROPPER"
+    ],
+    [
+      477,
+      197,
+      0,
+      189,
+      1,
+      "LPCROPPER"
+    ]
+  ],
+  "groups": [],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 0.6209213230591552,
+      "offset": {
+        "0": 1804.8014223358243,
+        "1": 1129.1173424169717
+      }
+    }
+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/LICENSE b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..ed4c6d1af07162de4ff7d0192fdbbf42acd77beb
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/LICENSE
@@ -0,0 +1,29 @@
+BSD 3-Clause License
+
+Copyright (c) 2017, Adrian Bulat
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name of the copyright holder nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/__init__.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..ba9114097cf2ccdaec12e4b7594a2bedd9339a13
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/__init__.py
@@ -0,0 +1,7 @@
+# -*- coding: utf-8 -*-
+
+__author__ = """Adrian Bulat"""
+__email__ = 'adrian@adrianbulat.com'
+__version__ = '1.4.1'
+
+from .api import FaceAlignment, LandmarksType, NetworkSize
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/api.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/api.py
new file mode 100644
index 0000000000000000000000000000000000000000..6b4d7670767545490c45efea7ba50580b1cd34e9
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/api.py
@@ -0,0 +1,305 @@
+import torch
+import warnings
+from enum import IntEnum
+from skimage import io
+import numpy as np
+from packaging import version
+from tqdm import tqdm
+import importlib
+
+from .utils import *
+from .folder_data import FolderData
+
+
+class LandmarksType(IntEnum):
+    """Enum class defining the type of landmarks to detect.
+
+    ``TWO_D`` - the detected points ``(x,y)`` are detected in a 2D space and follow the visible contour of the face
+    ``TWO_HALF_D`` - this points represent the projection of the 3D points into 3D
+    ``THREE_D`` - detect the points ``(x,y,z)``` in a 3D space
+
+    """
+    TWO_D = 1
+    TWO_HALF_D = 2
+    THREE_D = 3
+
+
+class NetworkSize(IntEnum):
+    # TINY = 1
+    # SMALL = 2
+    # MEDIUM = 3
+    LARGE = 4
+
+
+default_model_urls = {
+    '2DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/2DFAN4-cd938726ad.zip',
+    '3DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/3DFAN4-4a694010b9.zip',
+    'depth': 'https://www.adrianbulat.com/downloads/python-fan/depth-6c4283c0e0.zip',
+}
+
+models_urls = {
+    '1.6': {
+        '2DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/2DFAN4_1.6-c827573f02.zip',
+        '3DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/3DFAN4_1.6-ec5cf40a1d.zip',
+        'depth': 'https://www.adrianbulat.com/downloads/python-fan/depth_1.6-2aa3f18772.zip',
+    },
+    '1.5': {
+        '2DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/2DFAN4_1.5-a60332318a.zip',
+        '3DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/3DFAN4_1.5-176570af4d.zip',
+        'depth': 'https://www.adrianbulat.com/downloads/python-fan/depth_1.5-bc10f98e39.zip',
+    },
+}
+
+
+class FaceAlignment:
+    def __init__(self, landmarks_type, network_size=NetworkSize.LARGE,
+                 device='cuda', dtype=torch.float32, flip_input=False, face_detector='sfd', face_detector_kwargs=None, verbose=False):
+        self.device = device
+        self.flip_input = flip_input
+        self.landmarks_type = landmarks_type
+        self.verbose = verbose
+        self.dtype = dtype
+
+        if version.parse(torch.__version__) < version.parse('1.5.0'):
+            raise ImportError(f'Unsupported pytorch version detected. Minimum supported version of pytorch: 1.5.0\
+                            Either upgrade (recommended) your pytorch setup, or downgrade to face-alignment 1.2.0')
+
+        network_size = int(network_size)
+        pytorch_version = torch.__version__
+        if 'dev' in pytorch_version:
+            pytorch_version = pytorch_version.rsplit('.', 2)[0]
+        else:
+            pytorch_version = pytorch_version.rsplit('.', 1)[0]
+
+        #if 'cuda' in device:
+        #    torch.backends.cudnn.benchmark = True
+
+        # Get the face detector
+        package_directory_name = os.path.basename(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+        face_detector_module = importlib.import_module('.face_alignment.detection.' + face_detector, package=package_directory_name)
+
+
+        face_detector_kwargs = face_detector_kwargs or {}
+        self.face_detector = face_detector_module.FaceDetector(device=device, verbose=verbose, **face_detector_kwargs)
+
+        # Initialise the face alignemnt networks
+        if landmarks_type == LandmarksType.TWO_D:
+            network_name = '2DFAN-' + str(network_size)
+        else:
+            network_name = '3DFAN-' + str(network_size)
+        self.face_alignment_net = torch.jit.load(
+            load_file_from_url(models_urls.get(pytorch_version, default_model_urls)[network_name]))
+
+        self.face_alignment_net.to(device, dtype=dtype)
+        self.face_alignment_net.eval()
+
+        # Initialiase the depth prediciton network
+        if landmarks_type == LandmarksType.THREE_D:
+            self.depth_prediciton_net = torch.jit.load(
+                load_file_from_url(models_urls.get(pytorch_version, default_model_urls)['depth']))
+
+            self.depth_prediciton_net.to(device, dtype=dtype)
+            self.depth_prediciton_net.eval()
+
+    def get_landmarks(self, image_or_path, detected_faces=None, return_bboxes=False, return_landmark_score=False):
+        """Deprecated, please use get_landmarks_from_image
+
+        Arguments:
+            image_or_path {string or numpy.array or torch.tensor} -- The input image or path to it
+
+        Keyword Arguments:
+            detected_faces {list of numpy.array} -- list of bounding boxes, one for each face found
+            in the image (default: {None})
+            return_bboxes {boolean} -- If True, return the face bounding boxes in addition to the keypoints.
+            return_landmark_score {boolean} -- If True, return the keypoint scores along with the keypoints.
+        """
+        return self.get_landmarks_from_image(image_or_path, detected_faces, return_bboxes, return_landmark_score)
+
+    @torch.no_grad()
+    def get_landmarks_from_image(self, image_or_path, detected_faces=None, return_bboxes=False,
+                                 return_landmark_score=False):
+        """Predict the landmarks for each face present in the image.
+
+        This function predicts a set of 68 2D or 3D images, one for each image present.
+        If detect_faces is None the method will also run a face detector.
+
+         Arguments:
+            image_or_path {string or numpy.array or torch.tensor} -- The input image or path to it.
+
+        Keyword Arguments:
+            detected_faces {list of numpy.array} -- list of bounding boxes, one for each face found
+            in the image (default: {None})
+            return_bboxes {boolean} -- If True, return the face bounding boxes in addition to the keypoints.
+            return_landmark_score {boolean} -- If True, return the keypoint scores along with the keypoints.
+
+        Return:
+            result:
+                1. if both return_bboxes and return_landmark_score are False, result will be:
+                    landmark
+                2. Otherwise, result will be one of the following, depending on the actual value of return_* arguments.
+                    (landmark, landmark_score, detected_face)
+                    (landmark, None,           detected_face)
+                    (landmark, landmark_score, None         )
+        """
+        image = get_image(image_or_path)
+
+        if detected_faces is None:
+            detected_faces = self.face_detector.detect_from_image(image.copy())
+
+        if len(detected_faces) == 0:
+            warnings.warn("No faces were detected.")
+            if return_bboxes or return_landmark_score:
+                return None, None, None
+            else:
+                return None
+
+        landmarks = []
+        landmarks_scores = []
+        for i, d in enumerate(detected_faces):
+            center = torch.tensor(
+                [d[2] - (d[2] - d[0]) / 2.0, d[3] - (d[3] - d[1]) / 2.0])
+            center[1] = center[1] - (d[3] - d[1]) * 0.12
+            scale = (d[2] - d[0] + d[3] - d[1]) / self.face_detector.reference_scale
+
+            inp = crop(image, center, scale)
+            inp = torch.from_numpy(inp.transpose(
+                (2, 0, 1))).float()
+
+            inp = inp.to(self.device, dtype=self.dtype)
+            inp.div_(255.0).unsqueeze_(0)
+
+            out = self.face_alignment_net(inp).detach()
+            if self.flip_input:
+                out += flip(self.face_alignment_net(flip(inp)).detach(), is_label=True)
+            out = out.to(device='cpu', dtype=torch.float32).numpy()
+
+            pts, pts_img, scores = get_preds_fromhm(out, center.numpy(), scale)
+            pts, pts_img = torch.from_numpy(pts), torch.from_numpy(pts_img)
+            pts, pts_img = pts.view(68, 2) * 4, pts_img.view(68, 2)
+            scores = scores.squeeze(0)
+
+            if self.landmarks_type == LandmarksType.THREE_D:
+                heatmaps = np.zeros((68, 256, 256), dtype=np.float32)
+                for i in range(68):
+                    if pts[i, 0] > 0 and pts[i, 1] > 0:
+                        heatmaps[i] = draw_gaussian(
+                            heatmaps[i], pts[i], 2)
+                heatmaps = torch.from_numpy(
+                    heatmaps).unsqueeze_(0)
+
+                heatmaps = heatmaps.to(self.device, dtype=self.dtype)
+                depth_pred = self.depth_prediciton_net(
+                    torch.cat((inp, heatmaps), 1)).data.cpu().view(68, 1).to(dtype=torch.float32)
+                pts_img = torch.cat(
+                    (pts_img, depth_pred * (1.0 / (256.0 / (200.0 * scale)))), 1)
+
+            landmarks.append(pts_img.numpy())
+            landmarks_scores.append(scores)
+
+        if not return_bboxes:
+            detected_faces = None
+        if not return_landmark_score:
+            landmarks_scores = None
+        if return_bboxes or return_landmark_score:
+            return landmarks, landmarks_scores, detected_faces
+        else:
+            return landmarks
+
+    @torch.no_grad()
+    def get_landmarks_from_batch(self, image_batch, detected_faces=None, return_bboxes=False,
+                                 return_landmark_score=False):
+        """Predict the landmarks for each face present in the image.
+
+        This function predicts a set of 68 2D or 3D images, one for each image in a batch in parallel.
+        If detect_faces is None the method will also run a face detector.
+
+         Arguments:
+            image_batch {torch.tensor} -- The input images batch
+
+        Keyword Arguments:
+            detected_faces {list of numpy.array} -- list of bounding boxes, one for each face found
+            in the image (default: {None})
+            return_bboxes {boolean} -- If True, return the face bounding boxes in addition to the keypoints.
+            return_landmark_score {boolean} -- If True, return the keypoint scores along with the keypoints.
+
+        Return:
+            result:
+                1. if both return_bboxes and return_landmark_score are False, result will be:
+                    landmarks
+                2. Otherwise, result will be one of the following, depending on the actual value of return_* arguments.
+                    (landmark, landmark_score, detected_face)
+                    (landmark, None,           detected_face)
+                    (landmark, landmark_score, None         )
+        """
+
+        if detected_faces is None:
+            detected_faces = self.face_detector.detect_from_batch(image_batch)
+
+        if len(detected_faces) == 0:
+            warnings.warn("No faces were detected.")
+            if return_bboxes or return_landmark_score:
+                return None, None, None
+            else:
+                return None
+
+        landmarks = []
+        landmarks_scores_list = []
+        # A batch for each frame
+        for i, faces in enumerate(detected_faces):
+            res = self.get_landmarks_from_image(
+                image_batch[i].cpu().numpy().transpose(1, 2, 0),
+                detected_faces=faces,
+                return_landmark_score=return_landmark_score,
+            )
+            if return_landmark_score:
+                landmark_set, landmarks_scores, _ = res
+                landmarks_scores_list.append(landmarks_scores)
+            else:
+                landmark_set = res
+            # Bacward compatibility
+            if landmark_set is not None:
+                landmark_set = np.concatenate(landmark_set, axis=0)
+            else:
+                landmark_set = []
+            landmarks.append(landmark_set)
+
+        if not return_bboxes:
+            detected_faces = None
+        if not return_landmark_score:
+            landmarks_scores_list = None
+        if return_bboxes or return_landmark_score:
+            return landmarks, landmarks_scores_list, detected_faces
+        else:
+            return landmarks
+
+    def get_landmarks_from_directory(self, path, extensions=['.jpg', '.png'], recursive=True, show_progress_bar=True,
+                                     return_bboxes=False, return_landmark_score=False):
+        """Scan a directory for images with a given extension type(s) and predict the landmarks for each
+            face present in the images found.
+
+         Arguments:
+            path {str} -- path to the target directory containing the images
+
+        Keyword Arguments:
+            extensions {list of str} -- list containing the image extensions considered (default: ['.jpg', '.png'])
+            recursive {boolean} -- If True, scans for images recursively (default: True)
+            show_progress_bar {boolean} -- If True displays a progress bar (default: True)
+            return_bboxes {boolean} -- If True, return the face bounding boxes in addition to the keypoints.
+            return_landmark_score {boolean} -- If True, return the keypoint scores along with the keypoints.
+        """
+        dataset = FolderData(path, self.face_detector.tensor_or_path_to_ndarray, extensions, recursive, self.verbose)
+        dataloader = torch.utils.data.DataLoader(dataset, batch_size=1, shuffle=False, num_workers=2, prefetch_factor=4)
+      
+        predictions = {}
+        for (image_path, image) in tqdm(dataloader, disable=not show_progress_bar):
+            image_path, image = image_path[0], image[0]
+            bounding_boxes = self.face_detector.detect_from_image(image)
+            if return_bboxes or return_landmark_score:
+                preds, bbox, score = self.get_landmarks_from_image(
+                    image, bounding_boxes, return_bboxes=return_bboxes, return_landmark_score=return_landmark_score)
+                predictions[image_path] = (preds, bbox, score)
+            else:
+                preds = self.get_landmarks_from_image(image, bounding_boxes)
+                predictions[image_path] = preds
+
+        return predictions
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/__init__.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..1a6b0402dae864a3cc5dc2a90a412fd842a0efc7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/__init__.py
@@ -0,0 +1 @@
+from .core import FaceDetector
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/__init__.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e2a47085c3aa15084a2dc7ec5bd593b447f838a5
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/__init__.py
@@ -0,0 +1 @@
+from .blazeface_detector import BlazeFaceDetector as FaceDetector
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/blazeface_detector.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/blazeface_detector.py
new file mode 100644
index 0000000000000000000000000000000000000000..77c750f90f2202bde27f67a11329f1ab38c87a99
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/blazeface_detector.py
@@ -0,0 +1,69 @@
+from torch.utils.model_zoo import load_url
+
+from ..core import FaceDetector
+from ...utils import load_file_from_url
+
+from .net_blazeface import BlazeFace
+from .detect import *
+
+models_urls = {
+    'blazeface_weights': 'https://github.com/hollance/BlazeFace-PyTorch/blob/master/blazeface.pth?raw=true',
+    'blazeface_anchors': 'https://github.com/hollance/BlazeFace-PyTorch/blob/master/anchors.npy?raw=true',
+    'blazeface_back_weights': 'https://github.com/hollance/BlazeFace-PyTorch/blob/master/blazefaceback.pth?raw=true',
+    'blazeface_back_anchors': 'https://github.com/hollance/BlazeFace-PyTorch/blob/master/anchorsback.npy?raw=true'
+}
+
+
+class BlazeFaceDetector(FaceDetector):
+    def __init__(self, device, back_model=False, path_to_detector=None, path_to_anchor=None, verbose=False,
+                 min_score_thresh=0.5, min_suppression_threshold=0.3):
+        super(BlazeFaceDetector, self).__init__(device, verbose)
+
+        # Initialise the face detector
+        self.back_model = back_model
+        if path_to_detector is None:
+            if back_model:
+                model_weights = load_url(models_urls['blazeface_back_weights'])
+                model_anchors = np.load(load_file_from_url(models_urls['blazeface_back_anchors']))
+            else:
+                model_weights = load_url(models_urls['blazeface_weights'])
+                model_anchors = np.load(load_file_from_url(models_urls['blazeface_anchors']))
+        else:
+            model_weights = torch.load(path_to_detector)
+            model_anchors = np.load(path_to_anchor)
+
+        self.face_detector = BlazeFace(back_model=back_model)
+        self.face_detector.load_state_dict(model_weights)
+        self.face_detector.load_anchors_from_npy(model_anchors, device)
+
+        # Optionally change the thresholds:
+        self.face_detector.min_score_thresh = min_score_thresh
+        self.face_detector.min_suppression_threshold = min_suppression_threshold
+
+        self.face_detector.to(device)
+        self.face_detector.eval()
+
+    def detect_from_image(self, tensor_or_path):
+        image = self.tensor_or_path_to_ndarray(tensor_or_path)
+
+        image_size = 256 if self.back_model else 128
+        bboxlist = detect(self.face_detector, image, target_size=image_size, device=self.device)[0]
+
+        return bboxlist
+
+    def detect_from_batch(self, tensor):
+        image_size = 256 if self.back_model else 128
+        bboxlists = batch_detect(self.face_detector, tensor, target_size=image_size, device=self.device)
+        return bboxlists
+
+    @property
+    def reference_scale(self):
+        return 195
+
+    @property
+    def reference_x_shift(self):
+        return 0
+
+    @property
+    def reference_y_shift(self):
+        return 0
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/detect.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/detect.py
new file mode 100644
index 0000000000000000000000000000000000000000..6da231af6a1b05792dd73dc1f1754c8549c50500
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/detect.py
@@ -0,0 +1,74 @@
+import torch
+import torch.nn.functional as F
+
+import cv2
+import numpy as np
+
+from .utils import *
+
+
+def detect(net, img, target_size=128, device='cuda'):
+    H, W, C = img.shape
+    orig_size = min(H, W)
+    img, (xshift, yshift) = resize_and_crop_image(img, target_size)
+    preds = net.predict_on_image(img)
+
+    if 0 == len(preds):
+        return [[]]
+
+    shift = np.array([xshift, yshift] * 2)
+    scores = preds[:, -1:]
+
+    # TODO: ugly
+    # reverses, x and y to adapt with face-alignment code
+    locs = np.concatenate((preds[:, 1:2], preds[:, 0:1], preds[:, 3:4], preds[:, 2:3]), axis=1)
+    return [np.concatenate((locs * orig_size + shift, scores), axis=1)]
+
+
+def batch_detect(net, img_batch, target_size=128, device='cuda'):
+    """
+    Inputs:
+        - net: BlazeFace model
+        - img_batch: a numpy array or tensor of shape (Batch size, Channels, Height, Width)
+        - target_size: target size of the input image
+    Outputs:
+        - list of 2-dim numpy arrays with shape (faces_on_this_image, 5): x1, y1, x2, y2, confidence
+          (x1, y1) - top left corner, (x2, y2) - bottom right corner
+    """
+    B, C, H, W = img_batch.shape
+    orig_size = min(H, W)
+
+    if isinstance(img_batch, torch.Tensor):
+        img_batch = img_batch.cpu().numpy()
+
+    img_batch = img_batch.transpose((0, 2, 3, 1))
+
+    imgs, (xshift, yshift) = resize_and_crop_batch(img_batch, target_size)
+    preds = net.predict_on_batch(imgs)
+    bboxlists = []
+    for pred in preds:
+        shift = np.array([xshift, yshift] * 2)
+        scores = pred[:, -1:]
+        locs = np.concatenate((pred[:, 1:2], pred[:, 0:1], pred[:, 3:4], pred[:, 2:3]), axis=1)
+        bboxlists.append(np.concatenate((locs * orig_size + shift, scores), axis=1))
+
+    return bboxlists
+
+
+def flip_detect(net, img, device):
+    img = cv2.flip(img, 1)
+    b = detect(net, img, device)
+
+    bboxlist = np.zeros(b.shape)
+    bboxlist[:, 0] = img.shape[1] - b[:, 2]
+    bboxlist[:, 1] = b[:, 1]
+    bboxlist[:, 2] = img.shape[1] - b[:, 0]
+    bboxlist[:, 3] = b[:, 3]
+    bboxlist[:, 4] = b[:, 4]
+    return bboxlist
+
+
+def pts_to_bb(pts):
+    min_x, min_y = np.min(pts, axis=0)
+    max_x, max_y = np.max(pts, axis=0)
+    return np.array([min_x, min_y, max_x, max_y])
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/net_blazeface.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/net_blazeface.py
new file mode 100644
index 0000000000000000000000000000000000000000..e4da67150ae23b707ec8f05208fe632590400b67
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/net_blazeface.py
@@ -0,0 +1,482 @@
+import numpy as np
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+
+class BlazeBlock(nn.Module):
+    def __init__(self, in_channels, out_channels, kernel_size=3, stride=1):
+        super(BlazeBlock, self).__init__()
+
+        self.stride = stride
+        self.channel_pad = out_channels - in_channels
+
+        # TFLite uses slightly different padding than PyTorch
+        # on the depthwise conv layer when the stride is 2.
+        if stride == 2:
+            self.max_pool = nn.MaxPool2d(kernel_size=stride, stride=stride)
+            padding = 0
+        else:
+            padding = (kernel_size - 1) // 2
+
+        self.convs = nn.Sequential(
+            nn.Conv2d(in_channels=in_channels, out_channels=in_channels,
+                      kernel_size=kernel_size, stride=stride, padding=padding,
+                      groups=in_channels, bias=True),
+            nn.Conv2d(in_channels=in_channels, out_channels=out_channels,
+                      kernel_size=1, stride=1, padding=0, bias=True),
+        )
+
+        self.act = nn.ReLU(inplace=True)
+
+    def forward(self, x):
+        if self.stride == 2:
+            h = F.pad(x, (0, 2, 0, 2), "constant", 0)
+            x = self.max_pool(x)
+        else:
+            h = x
+
+        if self.channel_pad > 0:
+            x = F.pad(x, (0, 0, 0, 0, 0, self.channel_pad), "constant", 0)
+
+        return self.act(self.convs(h) + x)
+    
+class FinalBlazeBlock(nn.Module):
+    def __init__(self, channels, kernel_size=3):
+        super(FinalBlazeBlock, self).__init__()
+        # TFLite uses slightly different padding than PyTorch
+        # on the depthwise conv layer when the stride is 2.
+        self.convs = nn.Sequential(
+            nn.Conv2d(in_channels=channels, out_channels=channels,
+                      kernel_size=kernel_size, stride=2, padding=0,
+                      groups=channels, bias=True),
+            nn.Conv2d(in_channels=channels, out_channels=channels,
+                      kernel_size=1, stride=1, padding=0, bias=True),
+        )
+
+        self.act = nn.ReLU(inplace=True)
+
+    def forward(self, x):
+        h = F.pad(x, (0, 2, 0, 2), "constant", 0)
+
+        return self.act(self.convs(h))
+
+
+class BlazeFace(nn.Module):
+    """The BlazeFace face detection model from MediaPipe.
+
+    The version from MediaPipe is simpler than the one in the paper;
+    it does not use the "double" BlazeBlocks.
+
+    Because we won't be training this model, it doesn't need to have
+    batchnorm layers. These have already been "folded" into the conv
+    weights by TFLite.
+
+    The conversion to PyTorch is fairly straightforward, but there are
+    some small differences between TFLite and PyTorch in how they handle
+    padding on conv layers with stride 2.
+
+    This version works on batches, while the MediaPipe version can only
+    handle a single image at a time.
+
+    Based on code from https://github.com/tkat0/PyTorch_BlazeFace/ and
+    https://github.com/google/mediapipe/
+    """
+
+    def __init__(self, back_model=False):
+        super(BlazeFace, self).__init__()
+
+        # These are the settings from the MediaPipe example graph
+        # mediapipe/graphs/face_detection/face_detection_mobile_gpu.pbtxt
+        # and mediapipe/graphs/face_detection/face_detection_back_mobile_gpu.pbtxt
+        self.num_classes = 1
+        self.num_anchors = 896
+        self.num_coords = 16
+        self.score_clipping_thresh = 100.0
+        self.back_model = back_model
+        if back_model:
+            self.x_scale = 256.0
+            self.y_scale = 256.0
+            self.h_scale = 256.0
+            self.w_scale = 256.0
+            self.min_score_thresh = 0.65
+        else:
+            self.x_scale = 128.0
+            self.y_scale = 128.0
+            self.h_scale = 128.0
+            self.w_scale = 128.0
+            self.min_score_thresh = 0.75
+        self.min_suppression_threshold = 0.3
+
+        self._define_layers()
+
+    def _define_back_model_layers(self):
+        self.backbone = nn.Sequential(
+            nn.Conv2d(in_channels=3, out_channels=24, kernel_size=5, stride=2, padding=0, bias=True),
+            nn.ReLU(inplace=True),
+            *[BlazeBlock(24, 24) for _ in range(7)],
+            BlazeBlock(24, 24, stride=2),
+            *[BlazeBlock(24, 24) for _ in range(7)],
+            BlazeBlock(24, 48, stride=2),
+            *[BlazeBlock(48, 48) for _ in range(7)],
+            BlazeBlock(48, 96, stride=2),
+            *[BlazeBlock(96, 96) for _ in range(7)],
+        )
+        self.final = FinalBlazeBlock(96)
+        self.classifier_8 = nn.Conv2d(96, 2, 1, bias=True)
+        self.classifier_16 = nn.Conv2d(96, 6, 1, bias=True)
+
+        self.regressor_8 = nn.Conv2d(96, 32, 1, bias=True)
+        self.regressor_16 = nn.Conv2d(96, 96, 1, bias=True)
+
+    def _define_front_model_layers(self):
+        self.backbone1 = nn.Sequential(
+            nn.Conv2d(in_channels=3, out_channels=24, kernel_size=5,
+                      stride=2, padding=0, bias=True),
+            nn.ReLU(inplace=True),
+
+            BlazeBlock(24, 24),
+            BlazeBlock(24, 28),
+            BlazeBlock(28, 32, stride=2),
+            BlazeBlock(32, 36),
+            BlazeBlock(36, 42),
+            BlazeBlock(42, 48, stride=2),
+            BlazeBlock(48, 56),
+            BlazeBlock(56, 64),
+            BlazeBlock(64, 72),
+            BlazeBlock(72, 80),
+            BlazeBlock(80, 88),
+        )
+
+        self.backbone2 = nn.Sequential(
+            BlazeBlock(88, 96, stride=2),
+            BlazeBlock(96, 96),
+            BlazeBlock(96, 96),
+            BlazeBlock(96, 96),
+            BlazeBlock(96, 96),
+        )
+
+        self.classifier_8 = nn.Conv2d(88, 2, 1, bias=True)
+        self.classifier_16 = nn.Conv2d(96, 6, 1, bias=True)
+
+        self.regressor_8 = nn.Conv2d(88, 32, 1, bias=True)
+        self.regressor_16 = nn.Conv2d(96, 96, 1, bias=True)
+
+
+    def _define_layers(self):
+        if self.back_model:
+            self._define_back_model_layers()
+        else:
+            self._define_front_model_layers()
+
+    def forward(self, x):
+        # TFLite uses slightly different padding on the first conv layer
+        # than PyTorch, so do it manually.
+        x = F.pad(x, (1, 2, 1, 2), "constant", 0)
+
+        b = x.shape[0]      # batch size, needed for reshaping later
+
+        if self.back_model:
+            x = self.backbone(x)           # (b, 16, 16, 96)
+            h = self.final(x)              # (b, 8, 8, 96)
+        else:
+            x = self.backbone1(x)           # (b, 88, 16, 16)
+            h = self.backbone2(x)           # (b, 96, 8, 8)
+
+        # Note: Because PyTorch is NCHW but TFLite is NHWC, we need to
+        # permute the output from the conv layers before reshaping it.
+
+        c1 = self.classifier_8(x)       # (b, 2, 16, 16)
+        c1 = c1.permute(0, 2, 3, 1)     # (b, 16, 16, 2)
+        c1 = c1.reshape(b, -1, 1)       # (b, 512, 1)
+
+        c2 = self.classifier_16(h)      # (b, 6, 8, 8)
+        c2 = c2.permute(0, 2, 3, 1)     # (b, 8, 8, 6)
+        c2 = c2.reshape(b, -1, 1)       # (b, 384, 1)
+
+        c = torch.cat((c1, c2), dim=1)  # (b, 896, 1)
+
+        r1 = self.regressor_8(x)        # (b, 32, 16, 16)
+        r1 = r1.permute(0, 2, 3, 1)     # (b, 16, 16, 32)
+        r1 = r1.reshape(b, -1, 16)      # (b, 512, 16)
+
+        r2 = self.regressor_16(h)       # (b, 96, 8, 8)
+        r2 = r2.permute(0, 2, 3, 1)     # (b, 8, 8, 96)
+        r2 = r2.reshape(b, -1, 16)      # (b, 384, 16)
+
+        r = torch.cat((r1, r2), dim=1)  # (b, 896, 16)
+        return [r, c]
+
+    def _device(self):
+        """Which device (CPU or GPU) is being used by this model?"""
+        return self.classifier_8.weight.device
+
+    def load_weights(self, path):
+        self.load_state_dict(torch.load(path))
+        self.eval()
+
+    def load_anchors(self, path, device=None):
+        device = device or self._device()
+        self.anchors = torch.tensor(
+            np.load(path), dtype=torch.float32, device=device)
+        assert(self.anchors.ndimension() == 2)
+        assert(self.anchors.shape[0] == self.num_anchors)
+        assert(self.anchors.shape[1] == 4)
+
+    def load_anchors_from_npy(self, arr, device=None):
+        device = device or self._device()
+        self.anchors = torch.tensor(
+            arr, dtype=torch.float32, device=device)
+        assert(self.anchors.ndimension() == 2)
+        assert(self.anchors.shape[0] == self.num_anchors)
+        assert(self.anchors.shape[1] == 4)
+
+    def _preprocess(self, x):
+        """Converts the image pixels to the range [-1, 1]."""
+        return x.float() / 127.5 - 1.0
+
+    def predict_on_image(self, img):
+        """Makes a prediction on a single image.
+
+        Arguments:
+            img: a NumPy array of shape (H, W, 3) or a PyTorch tensor of
+                 shape (3, H, W). The image's height and width should be
+                 128 pixels.
+
+        Returns:
+            A tensor with face detections.
+        """
+        if isinstance(img, np.ndarray):
+            img = torch.from_numpy(img).permute((2, 0, 1))
+
+        return self.predict_on_batch(img.unsqueeze(0))[0]
+
+    def predict_on_batch(self, x):
+        """Makes a prediction on a batch of images.
+
+        Arguments:
+            x: a NumPy array of shape (b, H, W, 3) or a PyTorch tensor of
+               shape (b, 3, H, W). The height and width should be 128 pixels.
+
+        Returns:
+            A list containing a tensor of face detections for each image in
+            the batch. If no faces are found for an image, returns a tensor
+            of shape (0, 17).
+
+        Each face detection is a PyTorch tensor consisting of 17 numbers:
+            - ymin, xmin, ymax, xmax
+            - x,y-coordinates for the 6 keypoints
+            - confidence score
+        """
+        if isinstance(x, np.ndarray):
+            x = torch.from_numpy(x).permute((0, 3, 1, 2))
+
+        assert x.shape[1] == 3
+        if self.back_model:
+            assert x.shape[2] == 256
+            assert x.shape[3] == 256
+        else:
+            assert x.shape[2] == 128
+            assert x.shape[3] == 128
+
+        # 1. Preprocess the images into tensors:
+        x = x.to(self._device())
+        x = self._preprocess(x)
+
+        # 2. Run the neural network:
+        with torch.inference_mode():
+            out = self.__call__(x)
+
+        # 3. Postprocess the raw predictions:
+        detections = self._tensors_to_detections(out[0], out[1], self.anchors)
+
+        # 4. Non-maximum suppression to remove overlapping detections:
+        filtered_detections = []
+        for i in range(len(detections)):
+            faces = self._weighted_non_max_suppression(detections[i])
+            faces = torch.stack(faces) if len(
+                faces) > 0 else torch.zeros((0, 17))
+            filtered_detections.append(faces)
+
+        return filtered_detections
+
+    def _tensors_to_detections(self, raw_box_tensor, raw_score_tensor, anchors):
+        """The output of the neural network is a tensor of shape (b, 896, 16)
+        containing the bounding box regressor predictions, as well as a tensor
+        of shape (b, 896, 1) with the classification confidences.
+
+        This function converts these two "raw" tensors into proper detections.
+        Returns a list of (num_detections, 17) tensors, one for each image in
+        the batch.
+
+        This is based on the source code from:
+        mediapipe/calculators/tflite/tflite_tensors_to_detections_calculator.cc
+        mediapipe/calculators/tflite/tflite_tensors_to_detections_calculator.proto
+        """
+        assert raw_box_tensor.ndimension() == 3
+        assert raw_box_tensor.shape[1] == self.num_anchors
+        assert raw_box_tensor.shape[2] == self.num_coords
+
+        assert raw_score_tensor.ndimension() == 3
+        assert raw_score_tensor.shape[1] == self.num_anchors
+        assert raw_score_tensor.shape[2] == self.num_classes
+
+        assert raw_box_tensor.shape[0] == raw_score_tensor.shape[0]
+
+        detection_boxes = self._decode_boxes(raw_box_tensor, anchors)
+
+        thresh = self.score_clipping_thresh
+        raw_score_tensor = raw_score_tensor.clamp(-thresh, thresh)
+        detection_scores = raw_score_tensor.sigmoid().squeeze(dim=-1)
+
+        # Note: we stripped off the last dimension from the scores tensor
+        # because there is only has one class. Now we can simply use a mask
+        # to filter out the boxes with too low confidence.
+        mask = detection_scores >= self.min_score_thresh
+
+        # Because each image from the batch can have a different number of
+        # detections, process them one at a time using a loop.
+        output_detections = []
+        for i in range(raw_box_tensor.shape[0]):
+            boxes = detection_boxes[i, mask[i]]
+            scores = detection_scores[i, mask[i]].unsqueeze(dim=-1)
+            output_detections.append(torch.cat((boxes, scores), dim=-1).to('cpu'))
+
+        return output_detections
+
+    def _decode_boxes(self, raw_boxes, anchors):
+        """Converts the predictions into actual coordinates using
+        the anchor boxes. Processes the entire batch at once.
+        """
+        boxes = torch.zeros_like(raw_boxes)
+
+        x_center = raw_boxes[..., 0] / self.x_scale * \
+            anchors[:, 2] + anchors[:, 0]
+        y_center = raw_boxes[..., 1] / self.y_scale * \
+            anchors[:, 3] + anchors[:, 1]
+
+        w = raw_boxes[..., 2] / self.w_scale * anchors[:, 2]
+        h = raw_boxes[..., 3] / self.h_scale * anchors[:, 3]
+
+        boxes[..., 0] = y_center - h / 2.  # ymin
+        boxes[..., 1] = x_center - w / 2.  # xmin
+        boxes[..., 2] = y_center + h / 2.  # ymax
+        boxes[..., 3] = x_center + w / 2.  # xmax
+
+        for k in range(6):
+            offset = 4 + k * 2
+            keypoint_x = raw_boxes[..., offset] / \
+                self.x_scale * anchors[:, 2] + anchors[:, 0]
+            keypoint_y = raw_boxes[..., offset + 1] / \
+                self.y_scale * anchors[:, 3] + anchors[:, 1]
+            boxes[..., offset] = keypoint_x
+            boxes[..., offset + 1] = keypoint_y
+
+        return boxes
+
+    def _weighted_non_max_suppression(self, detections):
+        """The alternative NMS method as mentioned in the BlazeFace paper:
+
+        "We replace the suppression algorithm with a blending strategy that
+        estimates the regression parameters of a bounding box as a weighted
+        mean between the overlapping predictions."
+
+        The original MediaPipe code assigns the score of the most confident
+        detection to the weighted detection, but we take the average score
+        of the overlapping detections.
+
+        The input detections should be a Tensor of shape (count, 17).
+
+        Returns a list of PyTorch tensors, one for each detected face.
+
+        This is based on the source code from:
+        mediapipe/calculators/util/non_max_suppression_calculator.cc
+        mediapipe/calculators/util/non_max_suppression_calculator.proto
+        """
+        if len(detections) == 0:
+            return []
+
+        output_detections = []
+
+        # Sort the detections from highest to lowest score.
+        remaining = torch.argsort(detections[:, 16], descending=True)
+
+        while len(remaining) > 0:
+            detection = detections[remaining[0]]
+
+            # Compute the overlap between the first box and the other
+            # remaining boxes. (Note that the other_boxes also include
+            # the first_box.)
+            first_box = detection[:4]
+            other_boxes = detections[remaining, :4]
+            ious = overlap_similarity(first_box, other_boxes)
+
+            # If two detections don't overlap enough, they are considered
+            # to be from different faces.
+            mask = ious > self.min_suppression_threshold
+            overlapping = remaining[mask]
+            remaining = remaining[~mask]
+
+            # Take an average of the coordinates from the overlapping
+            # detections, weighted by their confidence scores.
+            weighted_detection = detection.clone()
+            if len(overlapping) > 1:
+                coordinates = detections[overlapping, :16]
+                scores = detections[overlapping, 16:17]
+                total_score = scores.sum()
+                weighted = (coordinates * scores).sum(dim=0) / total_score
+                weighted_detection[:16] = weighted
+                weighted_detection[16] = total_score / len(overlapping)
+
+            output_detections.append(weighted_detection)
+
+        return output_detections
+
+
+# IOU code from https://github.com/amdegroot/ssd.pytorch/blob/master/layers/box_utils.py
+
+def intersect(box_a, box_b):
+    """ We resize both tensors to [A,B,2] without new malloc:
+    [A,2] -> [A,1,2] -> [A,B,2]
+    [B,2] -> [1,B,2] -> [A,B,2]
+    Then we compute the area of intersect between box_a and box_b.
+    Args:
+      box_a: (tensor) bounding boxes, Shape: [A,4].
+      box_b: (tensor) bounding boxes, Shape: [B,4].
+    Return:
+      (tensor) intersection area, Shape: [A,B].
+    """
+    A = box_a.size(0)
+    B = box_b.size(0)
+    max_xy = torch.min(box_a[:, 2:].unsqueeze(1).expand(A, B, 2),
+                       box_b[:, 2:].unsqueeze(0).expand(A, B, 2))
+    min_xy = torch.max(box_a[:, :2].unsqueeze(1).expand(A, B, 2),
+                       box_b[:, :2].unsqueeze(0).expand(A, B, 2))
+    inter = torch.clamp((max_xy - min_xy), min=0)
+    return inter[:, :, 0] * inter[:, :, 1]
+
+
+def jaccard(box_a, box_b):
+    """Compute the jaccard overlap of two sets of boxes.  The jaccard overlap
+    is simply the intersection over union of two boxes.  Here we operate on
+    ground truth boxes and default boxes.
+    E.g.:
+        A ∩ B / A ∪ B = A ∩ B / (area(A) + area(B) - A ∩ B)
+    Args:
+        box_a: (tensor) Ground truth bounding boxes, Shape: [num_objects,4]
+        box_b: (tensor) Prior boxes from priorbox layers, Shape: [num_priors,4]
+    Return:
+        jaccard overlap: (tensor) Shape: [box_a.size(0), box_b.size(0)]
+    """
+    inter = intersect(box_a, box_b)
+    area_a = ((box_a[:, 2] - box_a[:, 0])
+              * (box_a[:, 3] - box_a[:, 1])).unsqueeze(1).expand_as(inter)  # [A,B]
+    area_b = ((box_b[:, 2] - box_b[:, 0])
+              * (box_b[:, 3] - box_b[:, 1])).unsqueeze(0).expand_as(inter)  # [A,B]
+    union = area_a + area_b - inter
+    return inter / union  # [A,B]
+
+
+def overlap_similarity(box, other_boxes):
+    """Computes the IOU between a bounding box and set of other boxes."""
+    return jaccard(box.unsqueeze(0), other_boxes).squeeze(0)
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/utils.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..7596a8cb416420767d87b8bffcbcc4ee4f1f8f19
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/blazeface/utils.py
@@ -0,0 +1,65 @@
+import cv2
+import numpy as np
+
+
+def image_resize(image, width=None, height=None, inter=cv2.INTER_AREA):
+    # initialize the dimensions of the image to be resized and
+    # grab the image size
+    dim = None
+    (h, w) = image.shape[:2]
+
+    # if both the width and height are None, then return the
+    # original image
+    if width is None and height is None:
+        return image
+
+    # check to see if the width is None
+    if width is None:
+        # calculate the ratio of the height and construct the
+        # dimensions
+        r = height / float(h)
+        dim = (int(w * r), height)
+
+    # otherwise, the height is None
+    else:
+        # calculate the ratio of the width and construct the
+        # dimensions
+        r = width / float(w)
+        dim = (width, int(h * r))
+
+    # resize the image
+    resized = cv2.resize(image, dim, interpolation=inter)
+
+    # return the resized image
+    return resized
+
+
+def resize_and_crop_image(image, dim):
+    if image.shape[0] > image.shape[1]:
+        img = image_resize(image, width=dim)
+        yshift, xshift = (image.shape[0] - image.shape[1]) // 2, 0
+        y_start = (img.shape[0] - img.shape[1]) // 2
+        y_end = y_start + dim
+        return img[y_start:y_end, :, :], (xshift, yshift)
+    else:
+        img = image_resize(image, height=dim)
+        yshift, xshift = 0, (image.shape[1] - image.shape[0]) // 2
+        x_start = (img.shape[1] - img.shape[0]) // 2
+        x_end = x_start + dim
+        return img[:, x_start:x_end, :], (xshift, yshift)
+
+
+def resize_and_crop_batch(frames, dim):
+    """
+    Center crop + resize to (dim x dim)
+    inputs:
+        - frames: list of images (numpy arrays)
+        - dim: output dimension size
+    """
+    smframes = []
+    xshift, yshift = 0, 0
+    for i in range(len(frames)):
+        smframe, (xshift, yshift) = resize_and_crop_image(frames[i], dim)
+        smframes.append(smframe)
+    smframes = np.stack(smframes)
+    return smframes, (xshift, yshift)
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/core.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/core.py
new file mode 100644
index 0000000000000000000000000000000000000000..46cec5f07982646770a5bd686a6146138251fb8c
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/core.py
@@ -0,0 +1,150 @@
+import logging
+import glob
+from tqdm import tqdm
+import numpy as np
+import torch
+from skimage import io
+
+
+class FaceDetector(object):
+    """An abstract class representing a face detector.
+
+    Any other face detection implementation must subclass it. All subclasses
+    must implement ``detect_from_image``, that return a list of detected
+    bounding boxes. Optionally, for speed considerations detect from path is
+    recommended.
+    """
+
+    def __init__(self, device, verbose):
+        self.device = device
+        self.verbose = verbose
+
+        if verbose:
+            if 'cpu' in device:
+                logger = logging.getLogger(__name__)
+                logger.warning("Detection running on CPU, this may be potentially slow.")
+
+        if 'cpu' not in device and 'cuda' not in device and 'mps' not in device:
+            if verbose:
+                logger.error("Expected values for device are: {cpu, cuda, mps} but got: %s", device)
+            raise ValueError
+
+    def detect_from_image(self, tensor_or_path):
+        """Detects faces in a given image.
+
+        This function detects the faces present in a provided BGR(usually)
+        image. The input can be either the image itself or the path to it.
+
+        Arguments:
+            tensor_or_path {numpy.ndarray, torch.tensor or string} -- the path
+            to an image or the image itself.
+
+        Example::
+
+            >>> path_to_image = 'data/image_01.jpg'
+            ...   detected_faces = detect_from_image(path_to_image)
+            [A list of bounding boxes (x1, y1, x2, y2)]
+            >>> image = cv2.imread(path_to_image)
+            ...   detected_faces = detect_from_image(image)
+            [A list of bounding boxes (x1, y1, x2, y2)]
+
+        """
+        raise NotImplementedError
+
+    def detect_from_batch(self, tensor):
+        """Detects faces in a given image.
+
+        This function detects the faces present in a provided BGR(usually)
+        image. The input can be either the image itself or the path to it.
+
+        Arguments:
+            tensor {torch.tensor} -- image batch tensor.
+
+        Example::
+
+            >>> path_to_image = 'data/image_01.jpg'
+            ...   detected_faces = detect_from_image(path_to_image)
+            [A list of bounding boxes (x1, y1, x2, y2)]
+            >>> image = cv2.imread(path_to_image)
+            ...   detected_faces = detect_from_image(image)
+            [A list of bounding boxes (x1, y1, x2, y2)]
+
+        """
+        raise NotImplementedError
+
+    def detect_from_directory(self, path, extensions=['.jpg', '.png'], recursive=False, show_progress_bar=True):
+        """Detects faces from all the images present in a given directory.
+
+        Arguments:
+            path {string} -- a string containing a path that points to the folder containing the images
+
+        Keyword Arguments:
+            extensions {list} -- list of string containing the extensions to be
+            consider in the following format: ``.extension_name`` (default:
+            {['.jpg', '.png']}) recursive {bool} -- option wherever to scan the
+            folder recursively (default: {False}) show_progress_bar {bool} --
+            display a progressbar (default: {True})
+
+        Example:
+        >>> directory = 'data'
+        ...   detected_faces = detect_from_directory(directory)
+        {A dictionary of [lists containing bounding boxes(x1, y1, x2, y2)]}
+
+        """
+        if self.verbose:
+            logger = logging.getLogger(__name__)
+
+        if len(extensions) == 0:
+            if self.verbose:
+                logger.error("Expected at list one extension, but none was received.")
+            raise ValueError
+
+        if self.verbose:
+            logger.info("Constructing the list of images.")
+        additional_pattern = '/**/*' if recursive else '/*'
+        files = []
+        for extension in extensions:
+            files.extend(glob.glob(path + additional_pattern + extension, recursive=recursive))
+
+        if self.verbose:
+            logger.info("Finished searching for images. %s images found", len(files))
+            logger.info("Preparing to run the detection.")
+
+        predictions = {}
+        for image_path in tqdm(files, disable=not show_progress_bar):
+            if self.verbose:
+                logger.info("Running the face detector on image: %s", image_path)
+            predictions[image_path] = self.detect_from_image(image_path)
+
+        if self.verbose:
+            logger.info("The detector was successfully run on all %s images", len(files))
+
+        return predictions
+
+    @property
+    def reference_scale(self):
+        raise NotImplementedError
+
+    @property
+    def reference_x_shift(self):
+        raise NotImplementedError
+
+    @property
+    def reference_y_shift(self):
+        raise NotImplementedError
+
+    @staticmethod
+    def tensor_or_path_to_ndarray(tensor_or_path):
+        """Convert path (represented as a string) or torch.tensor to a numpy.ndarray
+
+        Arguments:
+            tensor_or_path {numpy.ndarray, torch.tensor or string} -- path to the image, or the image itself
+        """
+        if isinstance(tensor_or_path, str):
+            return io.imread(tensor_or_path)
+        elif torch.is_tensor(tensor_or_path):
+            return tensor_or_path.cpu().numpy()
+        elif isinstance(tensor_or_path, np.ndarray):
+            return tensor_or_path
+        else:
+            raise TypeError
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/dlib/__init__.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/dlib/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..d8e5ee5fd5b6dd145f3e3ec65c02d2d8befaef59
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/dlib/__init__.py
@@ -0,0 +1 @@
+from .dlib_detector import DlibDetector as FaceDetector
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/dlib/dlib_detector.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/dlib/dlib_detector.py
new file mode 100644
index 0000000000000000000000000000000000000000..0af33167659c528de775c7425bf0792145c084ef
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/dlib/dlib_detector.py
@@ -0,0 +1,48 @@
+import warnings
+import cv2
+import dlib
+
+from ..core import FaceDetector
+from ...utils import load_file_from_url
+
+
+class DlibDetector(FaceDetector):
+    def __init__(self, device, path_to_detector=None, verbose=False):
+        super().__init__(device, verbose)
+
+        warnings.warn('Warning: this detector is deprecated. Please use a different one, i.e.: S3FD.')
+
+        # Initialise the face detector
+        if 'cuda' in device:
+            if path_to_detector is None:
+                path_to_detector = load_file_from_url(
+                    "https://www.adrianbulat.com/downloads/dlib/mmod_human_face_detector.dat")
+
+            self.face_detector = dlib.cnn_face_detection_model_v1(path_to_detector)
+        else:
+            self.face_detector = dlib.get_frontal_face_detector()
+
+    def detect_from_image(self, tensor_or_path):
+        image = self.tensor_or_path_to_ndarray(tensor_or_path)
+        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+
+        detected_faces = self.face_detector(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY))
+
+        if 'cuda' not in self.device:
+            detected_faces = [[d.left(), d.top(), d.right(), d.bottom()] for d in detected_faces]
+        else:
+            detected_faces = [[d.rect.left(), d.rect.top(), d.rect.right(), d.rect.bottom()] for d in detected_faces]
+
+        return detected_faces
+
+    @property
+    def reference_scale(self):
+        return 195
+
+    @property
+    def reference_x_shift(self):
+        return 0
+
+    @property
+    def reference_y_shift(self):
+        return 0
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/folder/__init__.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/folder/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a9128ee0e13eb6f0058dbd480046aee50be336f
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/folder/__init__.py
@@ -0,0 +1 @@
+from .folder_detector import FolderDetector as FaceDetector
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/folder/folder_detector.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/folder/folder_detector.py
new file mode 100644
index 0000000000000000000000000000000000000000..add19fa4e4b933619b75d1dce441e3071b235191
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/folder/folder_detector.py
@@ -0,0 +1,53 @@
+import os
+import numpy as np
+import torch
+
+from ..core import FaceDetector
+
+
+class FolderDetector(FaceDetector):
+    '''This is a simple helper module that assumes the faces were detected already
+        (either previously or are provided as ground truth).
+
+        The class expects to find the bounding boxes in the same format used by
+        the rest of face detectors, mainly ``list[(x1,y1,x2,y2),...]``.
+        For each image the detector will search for a file with the same name and with one of the
+        following extensions: .npy, .t7 or .pth
+
+    '''
+
+    def __init__(self, device, path_to_detector=None, verbose=False):
+        super(FolderDetector, self).__init__(device, verbose)
+
+    def detect_from_image(self, tensor_or_path):
+        # Only strings supported
+        if not isinstance(tensor_or_path, str):
+            raise ValueError
+
+        base_name = os.path.splitext(tensor_or_path)[0]
+
+        if os.path.isfile(base_name + '.npy'):
+            detected_faces = np.load(base_name + '.npy')
+        elif os.path.isfile(base_name + '.t7'):
+            detected_faces = torch.load(base_name + '.t7')
+        elif os.path.isfile(base_name + '.pth'):
+            detected_faces = torch.load(base_name + '.pth')
+        else:
+            raise FileNotFoundError
+
+        if not isinstance(detected_faces, list):
+            raise TypeError
+
+        return detected_faces
+
+    @property
+    def reference_scale(self):
+        return 195
+
+    @property
+    def reference_x_shift(self):
+        return 0
+
+    @property
+    def reference_y_shift(self):
+        return 0
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/__init__.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..5a63ecd45658f22e66c171ada751fb33764d4559
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/__init__.py
@@ -0,0 +1 @@
+from .sfd_detector import SFDDetector as FaceDetector
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/bbox.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/bbox.py
new file mode 100644
index 0000000000000000000000000000000000000000..3d266963edaab90986619f09f34033905922f393
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/bbox.py
@@ -0,0 +1,71 @@
+import math
+import numpy as np
+
+
+def nms(dets, thresh):
+    if 0 == len(dets):
+        return []
+    x1, y1, x2, y2, scores = dets[:, 0], dets[:, 1], dets[:, 2], dets[:, 3], dets[:, 4]
+    areas = (x2 - x1 + 1) * (y2 - y1 + 1)
+    order = scores.argsort()[::-1]
+
+    keep = []
+    while order.size > 0:
+        i = order[0]
+        keep.append(i)
+        xx1, yy1 = np.maximum(x1[i], x1[order[1:]]), np.maximum(y1[i], y1[order[1:]])
+        xx2, yy2 = np.minimum(x2[i], x2[order[1:]]), np.minimum(y2[i], y2[order[1:]])
+
+        w, h = np.maximum(0.0, xx2 - xx1 + 1), np.maximum(0.0, yy2 - yy1 + 1)
+        ovr = w * h / (areas[i] + areas[order[1:]] - w * h)
+
+        inds = np.where(ovr <= thresh)[0]
+        order = order[inds + 1]
+
+    return keep
+
+
+def encode(matched, priors, variances):
+    """Encode the variances from the priorbox layers into the ground truth boxes
+    we have matched (based on jaccard overlap) with the prior boxes.
+    Args:
+        matched: (tensor) Coords of ground truth for each prior in point-form
+            Shape: [num_priors, 4].
+        priors: (tensor) Prior boxes in center-offset form
+            Shape: [num_priors,4].
+        variances: (list[float]) Variances of priorboxes
+    Return:
+        encoded boxes (tensor), Shape: [num_priors, 4]
+    """
+
+    # dist b/t match center and prior's center
+    g_cxcy = (matched[:, :2] + matched[:, 2:]) / 2 - priors[:, :2]
+    # encode variance
+    g_cxcy /= (variances[0] * priors[:, 2:])
+    # match wh / prior wh
+    g_wh = (matched[:, 2:] - matched[:, :2]) / priors[:, 2:]
+    g_wh = np.log(g_wh) / variances[1]
+
+    # return target for smooth_l1_loss
+    return np.concatenate([g_cxcy, g_wh], 1)  # [num_priors,4]
+
+
+def decode(loc, priors, variances):
+    """Decode locations from predictions using priors to undo
+    the encoding we did for offset regression at train time.
+    Args:
+        loc (tensor): location predictions for loc layers,
+            Shape: [num_priors,4]
+        priors (tensor): Prior boxes in center-offset form.
+            Shape: [num_priors,4].
+        variances: (list[float]) Variances of priorboxes
+    Return:
+        decoded bounding box predictions
+    """
+
+    boxes = np.concatenate((
+        priors[:, :2] + loc[:, :2] * variances[0] * priors[:, 2:],
+        priors[:, 2:] * np.exp(loc[:, 2:] * variances[1])), 1)
+    boxes[:, :2] -= boxes[:, 2:] / 2
+    boxes[:, 2:] += boxes[:, :2]
+    return boxes
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/detect.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/detect.py
new file mode 100644
index 0000000000000000000000000000000000000000..63b83189e7fedc90b68dbf11c5a2f4ac05d47aab
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/detect.py
@@ -0,0 +1,85 @@
+import torch
+import torch.nn.functional as F
+
+import cv2
+import numpy as np
+
+from .bbox import *
+
+
+def detect(net, img, device):
+    img = img.transpose(2, 0, 1)
+    # Creates a batch of 1
+    img = np.expand_dims(img, 0)
+
+    img = torch.from_numpy(img.copy()).to(device, dtype=torch.float32)
+
+    return batch_detect(net, img, device)
+
+
+def batch_detect(net, img_batch, device):
+    """
+    Inputs:
+        - img_batch: a torch.Tensor of shape (Batch size, Channels, Height, Width)
+    """
+
+    if 'cuda' in device:
+        torch.backends.cudnn.benchmark = True
+
+    batch_size = img_batch.size(0)
+    img_batch = img_batch.to(device, dtype=torch.float32)
+
+    img_batch = img_batch.flip(-3)  # RGB to BGR
+    img_batch = img_batch - torch.tensor([104.0, 117.0, 123.0], device=device).view(1, 3, 1, 1)
+
+    with torch.no_grad():
+        olist = net(img_batch)  # patched uint8_t overflow error
+
+    for i in range(len(olist) // 2):
+        olist[i * 2] = F.softmax(olist[i * 2], dim=1)
+
+    olist = [oelem.data.cpu().numpy() for oelem in olist]
+
+    bboxlists = get_predictions(olist, batch_size)
+    return bboxlists
+
+
+def get_predictions(olist, batch_size):
+    bboxlists = []
+    variances = [0.1, 0.2]
+    for i in range(len(olist) // 2):
+        ocls, oreg = olist[i * 2], olist[i * 2 + 1]
+        stride = 2**(i + 2)    # 4,8,16,32,64,128
+        poss = zip(*np.where(ocls[:, 1, :, :] > 0.05))
+        for Iindex, hindex, windex in poss:
+            axc, ayc = stride / 2 + windex * stride, stride / 2 + hindex * stride
+            priors = np.array([[axc / 1.0, ayc / 1.0, stride * 4 / 1.0, stride * 4 / 1.0]])
+            score = ocls[:, 1, hindex, windex][:,None]
+            loc = oreg[:, :, hindex, windex].copy()
+            boxes = decode(loc, priors, variances)
+            bboxlists.append(np.concatenate((boxes, score), axis=1))
+    
+    if len(bboxlists) == 0: # No candidates within given threshold
+        bboxlists = np.array([[] for _ in range(batch_size)])
+    else:
+        bboxlists = np.stack(bboxlists, axis=1)
+    return bboxlists
+
+
+def flip_detect(net, img, device):
+    img = cv2.flip(img, 1)
+    b = detect(net, img, device)
+
+    bboxlist = np.zeros(b.shape)
+    bboxlist[:, 0] = img.shape[1] - b[:, 2]
+    bboxlist[:, 1] = b[:, 1]
+    bboxlist[:, 2] = img.shape[1] - b[:, 0]
+    bboxlist[:, 3] = b[:, 3]
+    bboxlist[:, 4] = b[:, 4]
+    return bboxlist
+
+
+def pts_to_bb(pts):
+    min_x, min_y = np.min(pts, axis=0)
+    max_x, max_y = np.max(pts, axis=0)
+    return np.array([min_x, min_y, max_x, max_y])
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/net_s3fd.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/net_s3fd.py
new file mode 100644
index 0000000000000000000000000000000000000000..ecfa0f65add0e69439e567082a1e333d56edbadd
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/net_s3fd.py
@@ -0,0 +1,127 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+
+class L2Norm(nn.Module):
+    def __init__(self, n_channels, scale=1.0):
+        super(L2Norm, self).__init__()
+        self.n_channels = n_channels
+        self.scale = scale
+        self.eps = 1e-10
+        self.weight = nn.Parameter(torch.empty(self.n_channels).fill_(self.scale))
+
+    def forward(self, x):
+        norm = x.pow(2).sum(dim=1, keepdim=True).sqrt() + self.eps
+        x = x / norm * self.weight.view(1, -1, 1, 1)
+        return x
+
+
+class s3fd(nn.Module):
+    def __init__(self):
+        super(s3fd, self).__init__()
+        self.conv1_1 = nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1)
+        self.conv1_2 = nn.Conv2d(64, 64, kernel_size=3, stride=1, padding=1)
+
+        self.conv2_1 = nn.Conv2d(64, 128, kernel_size=3, stride=1, padding=1)
+        self.conv2_2 = nn.Conv2d(128, 128, kernel_size=3, stride=1, padding=1)
+
+        self.conv3_1 = nn.Conv2d(128, 256, kernel_size=3, stride=1, padding=1)
+        self.conv3_2 = nn.Conv2d(256, 256, kernel_size=3, stride=1, padding=1)
+        self.conv3_3 = nn.Conv2d(256, 256, kernel_size=3, stride=1, padding=1)
+
+        self.conv4_1 = nn.Conv2d(256, 512, kernel_size=3, stride=1, padding=1)
+        self.conv4_2 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1)
+        self.conv4_3 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1)
+
+        self.conv5_1 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1)
+        self.conv5_2 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1)
+        self.conv5_3 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1)
+
+        self.fc6 = nn.Conv2d(512, 1024, kernel_size=3, stride=1, padding=3)
+        self.fc7 = nn.Conv2d(1024, 1024, kernel_size=1, stride=1, padding=0)
+
+        self.conv6_1 = nn.Conv2d(1024, 256, kernel_size=1, stride=1, padding=0)
+        self.conv6_2 = nn.Conv2d(256, 512, kernel_size=3, stride=2, padding=1)
+
+        self.conv7_1 = nn.Conv2d(512, 128, kernel_size=1, stride=1, padding=0)
+        self.conv7_2 = nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1)
+
+        self.conv3_3_norm = L2Norm(256, scale=10)
+        self.conv4_3_norm = L2Norm(512, scale=8)
+        self.conv5_3_norm = L2Norm(512, scale=5)
+
+        self.conv3_3_norm_mbox_conf = nn.Conv2d(256, 4, kernel_size=3, stride=1, padding=1)
+        self.conv3_3_norm_mbox_loc = nn.Conv2d(256, 4, kernel_size=3, stride=1, padding=1)
+        self.conv4_3_norm_mbox_conf = nn.Conv2d(512, 2, kernel_size=3, stride=1, padding=1)
+        self.conv4_3_norm_mbox_loc = nn.Conv2d(512, 4, kernel_size=3, stride=1, padding=1)
+        self.conv5_3_norm_mbox_conf = nn.Conv2d(512, 2, kernel_size=3, stride=1, padding=1)
+        self.conv5_3_norm_mbox_loc = nn.Conv2d(512, 4, kernel_size=3, stride=1, padding=1)
+
+        self.fc7_mbox_conf = nn.Conv2d(1024, 2, kernel_size=3, stride=1, padding=1)
+        self.fc7_mbox_loc = nn.Conv2d(1024, 4, kernel_size=3, stride=1, padding=1)
+        self.conv6_2_mbox_conf = nn.Conv2d(512, 2, kernel_size=3, stride=1, padding=1)
+        self.conv6_2_mbox_loc = nn.Conv2d(512, 4, kernel_size=3, stride=1, padding=1)
+        self.conv7_2_mbox_conf = nn.Conv2d(256, 2, kernel_size=3, stride=1, padding=1)
+        self.conv7_2_mbox_loc = nn.Conv2d(256, 4, kernel_size=3, stride=1, padding=1)
+
+    def forward(self, x):
+        h = F.relu(self.conv1_1(x), inplace=True)
+        h = F.relu(self.conv1_2(h), inplace=True)
+        h = F.max_pool2d(h, 2, 2)
+
+        h = F.relu(self.conv2_1(h), inplace=True)
+        h = F.relu(self.conv2_2(h), inplace=True)
+        h = F.max_pool2d(h, 2, 2)
+
+        h = F.relu(self.conv3_1(h), inplace=True)
+        h = F.relu(self.conv3_2(h), inplace=True)
+        h = F.relu(self.conv3_3(h), inplace=True)
+        f3_3 = h
+        h = F.max_pool2d(h, 2, 2)
+
+        h = F.relu(self.conv4_1(h), inplace=True)
+        h = F.relu(self.conv4_2(h), inplace=True)
+        h = F.relu(self.conv4_3(h), inplace=True)
+        f4_3 = h
+        h = F.max_pool2d(h, 2, 2)
+
+        h = F.relu(self.conv5_1(h), inplace=True)
+        h = F.relu(self.conv5_2(h), inplace=True)
+        h = F.relu(self.conv5_3(h), inplace=True)
+        f5_3 = h
+        h = F.max_pool2d(h, 2, 2)
+
+        h = F.relu(self.fc6(h), inplace=True)
+        h = F.relu(self.fc7(h), inplace=True)
+        ffc7 = h
+        h = F.relu(self.conv6_1(h), inplace=True)
+        h = F.relu(self.conv6_2(h), inplace=True)
+        f6_2 = h
+        h = F.relu(self.conv7_1(h), inplace=True)
+        h = F.relu(self.conv7_2(h), inplace=True)
+        f7_2 = h
+
+        f3_3 = self.conv3_3_norm(f3_3)
+        f4_3 = self.conv4_3_norm(f4_3)
+        f5_3 = self.conv5_3_norm(f5_3)
+
+        cls1 = self.conv3_3_norm_mbox_conf(f3_3)
+        reg1 = self.conv3_3_norm_mbox_loc(f3_3)
+        cls2 = self.conv4_3_norm_mbox_conf(f4_3)
+        reg2 = self.conv4_3_norm_mbox_loc(f4_3)
+        cls3 = self.conv5_3_norm_mbox_conf(f5_3)
+        reg3 = self.conv5_3_norm_mbox_loc(f5_3)
+        cls4 = self.fc7_mbox_conf(ffc7)
+        reg4 = self.fc7_mbox_loc(ffc7)
+        cls5 = self.conv6_2_mbox_conf(f6_2)
+        reg5 = self.conv6_2_mbox_loc(f6_2)
+        cls6 = self.conv7_2_mbox_conf(f7_2)
+        reg6 = self.conv7_2_mbox_loc(f7_2)
+
+        # max-out background label
+        chunk = torch.chunk(cls1, 4, 1)
+        bmax = torch.max(torch.max(chunk[0], chunk[1]), chunk[2])
+        cls1 = torch.cat([bmax, chunk[3]], dim=1)
+
+        return [cls1, reg1, cls2, reg2, cls3, reg3, cls4, reg4, cls5, reg5, cls6, reg6]
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/sfd_detector.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/sfd_detector.py
new file mode 100644
index 0000000000000000000000000000000000000000..3799c435b9b2b40bb35f1ca5e69731e9eaef3bb9
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/detection/sfd/sfd_detector.py
@@ -0,0 +1,71 @@
+import torch
+from torch.utils.model_zoo import load_url
+
+from ..core import FaceDetector
+
+from .net_s3fd import s3fd
+from .bbox import nms
+from .detect import detect, batch_detect
+
+models_urls = {
+    's3fd': 'https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth',
+}
+
+
+class SFDDetector(FaceDetector):
+    '''SF3D Detector.
+    '''
+
+    def __init__(self, device, path_to_detector=None, verbose=False, filter_threshold=0.5):
+        super(SFDDetector, self).__init__(device, verbose)
+
+        # Initialise the face detector
+        if path_to_detector is None:
+            model_weights = load_url(models_urls['s3fd'])
+        else:
+            model_weights = torch.load(path_to_detector)
+
+        self.fiter_threshold = filter_threshold
+        self.face_detector = s3fd()
+        self.face_detector.load_state_dict(model_weights)
+        self.face_detector.to(device)
+        self.face_detector.eval()
+
+    def _filter_bboxes(self, bboxlist):
+        if len(bboxlist) > 0:
+            keep = nms(bboxlist, 0.3)
+            bboxlist = bboxlist[keep, :]
+            bboxlist = [x for x in bboxlist if x[-1] > self.fiter_threshold]
+
+        return bboxlist
+
+    def detect_from_image(self, tensor_or_path):
+        image = self.tensor_or_path_to_ndarray(tensor_or_path)
+
+        bboxlist = detect(self.face_detector, image, device=self.device)[0]
+        bboxlist = self._filter_bboxes(bboxlist)
+
+        return bboxlist
+
+    def detect_from_batch(self, tensor):
+        bboxlists = batch_detect(self.face_detector, tensor, device=self.device)
+
+        new_bboxlists = []
+        for i in range(bboxlists.shape[0]):
+            bboxlist = bboxlists[i]
+            bboxlist = self._filter_bboxes(bboxlist)
+            new_bboxlists.append(bboxlist)
+
+        return new_bboxlists
+
+    @property
+    def reference_scale(self):
+        return 195
+
+    @property
+    def reference_x_shift(self):
+        return 0
+
+    @property
+    def reference_y_shift(self):
+        return 0
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/folder_data.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/folder_data.py
new file mode 100644
index 0000000000000000000000000000000000000000..65bc295b28b911c4fa9594e32c004a1ab327d5d4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/folder_data.py
@@ -0,0 +1,38 @@
+import logging
+import glob
+
+import torch
+
+class FolderData(torch.utils.data.Dataset):
+    def __init__(self, path, transforms, extensions=['.jpg', '.png'], recursive=False, verbose=False):
+        self.verbose = verbose
+        if self.verbose:
+            logger = logging.getLogger(__name__)
+        
+        if len(extensions) == 0:
+            if self.verbose:
+                logger.error("Expected at list one extension, but none was received.")
+            raise ValueError
+
+        if self.verbose:
+            logger.info("Constructing the list of images.")
+        additional_pattern = '/**/*' if recursive else '/*'
+        files = []
+        for extension in extensions:
+            files.extend(glob.glob(path + additional_pattern + extension, recursive=recursive))
+
+        if self.verbose:
+            logger.info("Finished searching for images. %s images found", len(files))
+            logger.info("Preparing to run the detection.")
+        
+        self.files = files
+        self.transforms = transforms
+
+    def __getitem__(self, idx):
+        image_path = self.files[idx]
+        image = self.transforms(image_path)
+
+        return image_path, image
+
+    def __len__(self):
+        return len(self.files)
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/utils.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..2618770b2782d56b5a7fb8aec836074a3a7bfba4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/face_alignment/utils.py
@@ -0,0 +1,379 @@
+import os
+import sys
+import errno
+import torch
+import math
+import numpy as np
+import cv2
+from skimage import io
+from skimage import color
+from numba import jit
+
+from urllib.parse import urlparse
+from torch.hub import download_url_to_file, HASH_REGEX
+try:
+    from torch.hub import get_dir
+except BaseException:
+    from torch.hub import _get_torch_home as get_dir
+
+gauss_kernel = None
+
+
+def _gaussian(
+        size=3, sigma=0.25, amplitude=1, normalize=False, width=None,
+        height=None, sigma_horz=None, sigma_vert=None, mean_horz=0.5,
+        mean_vert=0.5):
+    # handle some defaults
+    if width is None:
+        width = size
+    if height is None:
+        height = size
+    if sigma_horz is None:
+        sigma_horz = sigma
+    if sigma_vert is None:
+        sigma_vert = sigma
+    center_x = mean_horz * width + 0.5
+    center_y = mean_vert * height + 0.5
+    gauss = np.empty((height, width), dtype=np.float32)
+    # generate kernel
+    for i in range(height):
+        for j in range(width):
+            gauss[i][j] = amplitude * math.exp(-(math.pow((j + 1 - center_x) / (
+                sigma_horz * width), 2) / 2.0 + math.pow((i + 1 - center_y) / (sigma_vert * height), 2) / 2.0))
+    if normalize:
+        gauss = gauss / np.sum(gauss)
+    return gauss
+
+
+def draw_gaussian(image, point, sigma):
+    global gauss_kernel
+    # Check if the gaussian is inside
+    ul = [math.floor(point[0] - 3 * sigma), math.floor(point[1] - 3 * sigma)]
+    br = [math.floor(point[0] + 3 * sigma), math.floor(point[1] + 3 * sigma)]
+    if (ul[0] > image.shape[1] or ul[1] > image.shape[0] or br[0] < 1 or br[1] < 1):
+        return image
+    size = 6 * sigma + 1
+    if gauss_kernel is None:
+        g = _gaussian(size)
+        gauss_kernel = g
+    else:
+        g = gauss_kernel
+    g_x = [int(max(1, -ul[0])), int(min(br[0], image.shape[1])) - int(max(1, ul[0])) + int(max(1, -ul[0]))]
+    g_y = [int(max(1, -ul[1])), int(min(br[1], image.shape[0])) - int(max(1, ul[1])) + int(max(1, -ul[1]))]
+    img_x = [int(max(1, ul[0])), int(min(br[0], image.shape[1]))]
+    img_y = [int(max(1, ul[1])), int(min(br[1], image.shape[0]))]
+    assert (g_x[0] > 0 and g_y[1] > 0)
+    image[img_y[0] - 1:img_y[1], img_x[0] - 1:img_x[1]
+          ] = image[img_y[0] - 1:img_y[1], img_x[0] - 1:img_x[1]] + g[g_y[0] - 1:g_y[1], g_x[0] - 1:g_x[1]]
+    image[image > 1] = 1
+    return image
+
+
+def transform(point, center, scale, resolution, invert=False):
+    """Generate and affine transformation matrix.
+
+    Given a set of points, a center, a scale and a targer resolution, the
+    function generates and affine transformation matrix. If invert is ``True``
+    it will produce the inverse transformation.
+
+    Arguments:
+        point {torch.tensor} -- the input 2D point
+        center {torch.tensor or numpy.array} -- the center around which to perform the transformations
+        scale {float} -- the scale of the face/object
+        resolution {float} -- the output resolution
+
+    Keyword Arguments:
+        invert {bool} -- define wherever the function should produce the direct or the
+        inverse transformation matrix (default: {False})
+    """
+    _pt = torch.ones(3)
+    _pt[0] = point[0]
+    _pt[1] = point[1]
+
+    h = 200.0 * scale
+    t = torch.eye(3)
+    t[0, 0] = resolution / h
+    t[1, 1] = resolution / h
+    t[0, 2] = resolution * (-center[0] / h + 0.5)
+    t[1, 2] = resolution * (-center[1] / h + 0.5)
+
+    if invert:
+        t = torch.inverse(t)
+
+    new_point = (torch.matmul(t, _pt))[0:2]
+
+    return new_point.int()
+
+
+def crop(image, center, scale, resolution=256.0):
+    """Center crops an image or set of heatmaps
+
+    Arguments:
+        image {numpy.array} -- an rgb image
+        center {numpy.array} -- the center of the object, usually the same as of the bounding box
+        scale {float} -- scale of the face
+
+    Keyword Arguments:
+        resolution {float} -- the size of the output cropped image (default: {256.0})
+
+    Returns:
+        [type] -- [description]
+    """  # Crop around the center point
+    """ Crops the image around the center. Input is expected to be an np.ndarray """
+    ul = transform([1, 1], center, scale, resolution, True)
+    br = transform([resolution, resolution], center, scale, resolution, True)
+    # pad = math.ceil(torch.norm((ul - br).float()) / 2.0 - (br[0] - ul[0]) / 2.0)
+    if image.ndim > 2:
+        newDim = np.array([br[1] - ul[1], br[0] - ul[0],
+                           image.shape[2]], dtype=np.int32)
+        newImg = np.zeros(newDim, dtype=np.uint8)
+    else:
+        newDim = np.array([br[1] - ul[1], br[0] - ul[0]], dtype=np.int)
+        newImg = np.zeros(newDim, dtype=np.uint8)
+    ht = image.shape[0]
+    wd = image.shape[1]
+    newX = np.array(
+        [max(1, -ul[0] + 1), min(br[0], wd) - ul[0]], dtype=np.int32)
+    newY = np.array(
+        [max(1, -ul[1] + 1), min(br[1], ht) - ul[1]], dtype=np.int32)
+    oldX = np.array([max(1, ul[0] + 1), min(br[0], wd)], dtype=np.int32)
+    oldY = np.array([max(1, ul[1] + 1), min(br[1], ht)], dtype=np.int32)
+    newImg[newY[0] - 1:newY[1], newX[0] - 1:newX[1]
+           ] = image[oldY[0] - 1:oldY[1], oldX[0] - 1:oldX[1], :]
+    newImg = cv2.resize(newImg, dsize=(int(resolution), int(resolution)),
+                        interpolation=cv2.INTER_LINEAR)
+    return newImg
+
+
+@jit(nopython=True)
+def transform_np(point, center, scale, resolution, invert=False):
+    """Generate and affine transformation matrix.
+
+    Given a set of points, a center, a scale and a targer resolution, the
+    function generates and affine transformation matrix. If invert is ``True``
+    it will produce the inverse transformation.
+
+    Arguments:
+        point {numpy.array} -- the input 2D point
+        center {numpy.array} -- the center around which to perform the transformations
+        scale {float} -- the scale of the face/object
+        resolution {float} -- the output resolution
+
+    Keyword Arguments:
+        invert {bool} -- define wherever the function should produce the direct or the
+        inverse transformation matrix (default: {False})
+    """
+    _pt = np.ones(3)
+    _pt[0] = point[0]
+    _pt[1] = point[1]
+
+    h = 200.0 * scale
+    t = np.eye(3)
+    t[0, 0] = resolution / h
+    t[1, 1] = resolution / h
+    t[0, 2] = resolution * (-center[0] / h + 0.5)
+    t[1, 2] = resolution * (-center[1] / h + 0.5)
+
+    if invert:
+        t = np.ascontiguousarray(np.linalg.pinv(t))
+
+    new_point = np.dot(t, _pt)[0:2]
+
+    return new_point.astype(np.int32)
+
+
+def get_preds_fromhm(hm, center=None, scale=None):
+    """Obtain (x,y) coordinates given a set of N heatmaps. If the center
+    and the scale is provided the function will return the points also in
+    the original coordinate frame.
+
+    Arguments:
+        hm {torch.tensor} -- the predicted heatmaps, of shape [B, N, W, H]
+
+    Keyword Arguments:
+        center {torch.tensor} -- the center of the bounding box (default: {None})
+        scale {float} -- face scale (default: {None})
+    """
+    B, C, H, W = hm.shape
+    hm_reshape = hm.reshape(B, C, H * W)
+    idx = np.argmax(hm_reshape, axis=-1)
+    scores = np.take_along_axis(hm_reshape, np.expand_dims(idx, axis=-1), axis=-1).squeeze(-1)
+    preds, preds_orig = _get_preds_fromhm(hm, idx, center, scale)
+
+    return preds, preds_orig, scores
+
+
+@jit(nopython=True)
+def _get_preds_fromhm(hm, idx, center=None, scale=None):
+    """Obtain (x,y) coordinates given a set of N heatmaps and the
+    coresponding locations of the maximums. If the center
+    and the scale is provided the function will return the points also in
+    the original coordinate frame.
+
+    Arguments:
+        hm {torch.tensor} -- the predicted heatmaps, of shape [B, N, W, H]
+
+    Keyword Arguments:
+        center {torch.tensor} -- the center of the bounding box (default: {None})
+        scale {float} -- face scale (default: {None})
+    """
+    B, C, H, W = hm.shape
+    idx += 1
+    preds = idx.repeat(2).reshape(B, C, 2).astype(np.float32)
+    preds[:, :, 0] = (preds[:, :, 0] - 1) % W + 1
+    preds[:, :, 1] = np.floor((preds[:, :, 1] - 1) / H) + 1
+
+    for i in range(B):
+        for j in range(C):
+            hm_ = hm[i, j, :]
+            pX, pY = int(preds[i, j, 0]) - 1, int(preds[i, j, 1]) - 1
+            if pX > 0 and pX < 63 and pY > 0 and pY < 63:
+                diff = np.array(
+                    [hm_[pY, pX + 1] - hm_[pY, pX - 1],
+                     hm_[pY + 1, pX] - hm_[pY - 1, pX]])
+                preds[i, j] += np.sign(diff) * 0.25
+
+    preds -= 0.5
+
+    preds_orig = np.zeros_like(preds)
+    if center is not None and scale is not None:
+        for i in range(B):
+            for j in range(C):
+                preds_orig[i, j] = transform_np(
+                    preds[i, j], center, scale, H, True)
+
+    return preds, preds_orig
+
+
+def create_target_heatmap(target_landmarks, centers, scales):
+    heatmaps = np.zeros((target_landmarks.shape[0], 68, 64, 64), dtype=np.float32)
+    for i in range(heatmaps.shape[0]):
+        for p in range(68):
+            landmark_cropped_coor = transform(target_landmarks[i, p] + 1, centers[i], scales[i], 64, invert=False)
+            heatmaps[i, p] = draw_gaussian(heatmaps[i, p], landmark_cropped_coor + 1, 2)
+    return torch.tensor(heatmaps)
+
+
+def create_bounding_box(target_landmarks, expansion_factor=0.0):
+    """
+    gets a batch of landmarks and calculates a bounding box that includes all the landmarks per set of landmarks in
+    the batch
+    :param target_landmarks: batch of landmarks of dim (n x 68 x 2). Where n is the batch size
+    :param expansion_factor: expands the bounding box by this factor. For example, a `expansion_factor` of 0.2 leads
+    to 20% increase in width and height of the boxes
+    :return: a batch of bounding boxes of dim (n x 4) where the second dim is (x1,y1,x2,y2)
+    """
+    # Calc bounding box
+    x_y_min, _ = target_landmarks.reshape(-1, 68, 2).min(dim=1)
+    x_y_max, _ = target_landmarks.reshape(-1, 68, 2).max(dim=1)
+    # expanding the bounding box
+    expansion_factor /= 2
+    bb_expansion_x = (x_y_max[:, 0] - x_y_min[:, 0]) * expansion_factor
+    bb_expansion_y = (x_y_max[:, 1] - x_y_min[:, 1]) * expansion_factor
+    x_y_min[:, 0] -= bb_expansion_x
+    x_y_max[:, 0] += bb_expansion_x
+    x_y_min[:, 1] -= bb_expansion_y
+    x_y_max[:, 1] += bb_expansion_y
+    return torch.cat([x_y_min, x_y_max], dim=1)
+
+
+def shuffle_lr(parts, pairs=None):
+    """Shuffle the points left-right according to the axis of symmetry
+    of the object.
+
+    Arguments:
+        parts {torch.tensor} -- a 3D or 4D object containing the
+        heatmaps.
+
+    Keyword Arguments:
+        pairs {list of integers} -- [order of the flipped points] (default: {None})
+    """
+    if pairs is None:
+        pairs = [16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0,
+                 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 27, 28, 29, 30, 35,
+                 34, 33, 32, 31, 45, 44, 43, 42, 47, 46, 39, 38, 37, 36, 41,
+                 40, 54, 53, 52, 51, 50, 49, 48, 59, 58, 57, 56, 55, 64, 63,
+                 62, 61, 60, 67, 66, 65]
+    if parts.ndimension() == 3:
+        parts = parts[pairs, ...]
+    else:
+        parts = parts[:, pairs, ...]
+
+    return parts
+
+
+def flip(tensor, is_label=False):
+    """Flip an image or a set of heatmaps left-right
+
+    Arguments:
+        tensor {numpy.array or torch.tensor} -- [the input image or heatmaps]
+
+    Keyword Arguments:
+        is_label {bool} -- [denote wherever the input is an image or a set of heatmaps ] (default: {False})
+    """
+    if not torch.is_tensor(tensor):
+        tensor = torch.from_numpy(tensor)
+
+    if is_label:
+        tensor = shuffle_lr(tensor).flip(tensor.ndimension() - 1)
+    else:
+        tensor = tensor.flip(tensor.ndimension() - 1)
+
+    return tensor
+
+
+def get_image(image_or_path):
+    """Reads an image from file or array/tensor and converts it to RGB (H,W,3).
+
+    Arguments:
+        tensor {Sstring, numpy.array or torch.tensor} -- [the input image or path to it]
+    """
+    if isinstance(image_or_path, str):
+        try:
+            image = io.imread(image_or_path)
+        except IOError:
+            print("error opening file :: ", image_or_path)
+            return None
+    elif isinstance(image_or_path, torch.Tensor):
+        image = image_or_path.detach().cpu().numpy()
+    else:
+        image = image_or_path
+
+    if image.ndim == 2:
+        image = color.gray2rgb(image)
+    elif image.ndim == 4:
+        image = image[..., :3]
+
+    return image
+
+
+# Pytorch load supports only pytorch models
+def load_file_from_url(url, model_dir=None, progress=True, check_hash=False, file_name=None):
+    if model_dir is None:
+        hub_dir = get_dir()
+        model_dir = os.path.join(hub_dir, 'checkpoints')
+
+    try:
+        os.makedirs(model_dir)
+    except OSError as e:
+        if e.errno == errno.EEXIST:
+            # Directory already exists, ignore.
+            pass
+        else:
+            # Unexpected OSError, re-raise.
+            raise
+
+    parts = urlparse(url)
+    filename = os.path.basename(parts.path)
+    if file_name is not None:
+        filename = file_name
+    cached_file = os.path.join(model_dir, filename)
+    if not os.path.exists(cached_file):
+        sys.stderr.write('Downloading: "{}" to {}\n'.format(url, cached_file))
+        hash_prefix = None
+        if check_hash:
+            r = HASH_REGEX.search(filename)  # r is Optional[Match[str]]
+            hash_prefix = r.group(1) if r else None
+        download_url_to_file(url, cached_file, hash_prefix, progress=progress)
+
+    return cached_file
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diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/config/base_config.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/config/base_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..216b8be50aecc8af4b9d1d2a9401e034dd7769e4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/config/base_config.py
@@ -0,0 +1,29 @@
+# coding: utf-8
+
+"""
+pretty printing class
+"""
+
+from __future__ import annotations
+import os.path as osp
+from typing import Tuple
+
+
+def make_abs_path(fn):
+    return osp.join(osp.dirname(osp.realpath(__file__)), fn)
+
+
+class PrintableConfig:  # pylint: disable=too-few-public-methods
+    """Printable Config defining str function"""
+
+    def __repr__(self):
+        lines = [self.__class__.__name__ + ":"]
+        for key, val in vars(self).items():
+            if isinstance(val, Tuple):
+                flattened_val = "["
+                for item in val:
+                    flattened_val += str(item) + "\n"
+                flattened_val = flattened_val.rstrip("\n")
+                val = flattened_val + "]"
+            lines += f"{key}: {str(val)}".split("\n")
+        return "\n    ".join(lines)
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/config/inference_config.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/config/inference_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..50cbf10d22cb42871819c201237ea8afba675dc9
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/config/inference_config.py
@@ -0,0 +1,41 @@
+# coding: utf-8
+
+"""
+config dataclass used for inference
+"""
+
+import os.path as osp
+from dataclasses import dataclass
+from typing import Literal, Tuple
+from .base_config import PrintableConfig, make_abs_path
+
+
+@dataclass(repr=False)  # use repr from PrintableConfig
+class InferenceConfig(PrintableConfig):
+    models_config: str = make_abs_path('./models.yaml')  # portrait animation config
+    checkpoint_F: str = make_abs_path('../../pretrained_weights/liveportrait/base_models/appearance_feature_extractor.pth')  # path to checkpoint
+    checkpoint_M: str = make_abs_path('../../pretrained_weights/liveportrait/base_models/motion_extractor.pth')  # path to checkpoint
+    checkpoint_G: str = make_abs_path('../../pretrained_weights/liveportrait/base_models/spade_generator.pth')  # path to checkpoint
+    checkpoint_W: str = make_abs_path('../../pretrained_weights/liveportrait/base_models/warping_module.pth')  # path to checkpoint
+
+    checkpoint_S: str = make_abs_path('../../pretrained_weights/liveportrait/retargeting_models/stitching_retargeting_module.pth')  # path to checkpoint
+    flag_use_half_precision: bool = True  # whether to use half precision
+
+    flag_lip_zero: bool = True  # whether let the lip to close state before animation, only take effect when flag_eye_retargeting and flag_lip_retargeting is False
+    lip_zero_threshold: float = 0.03
+
+    flag_eye_retargeting: bool = False
+    flag_lip_retargeting: bool = False
+    flag_stitching: bool = True  # we recommend setting it to True!
+
+    flag_relative: bool = True  # whether to use relative pose
+
+    input_shape: Tuple[int, int] = (256, 256)  # input shape
+    output_format: Literal['mp4', 'gif'] = 'mp4'  # output video format
+    output_fps: int = 30  # fps for output video
+    crf: int = 15  # crf for output video
+
+    flag_write_gif: bool = False
+
+    device_id: int = 0
+    flag_do_rot: bool = True  # whether to conduct the rotation when flag_do_crop is True
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/config/models.yaml b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/config/models.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..131d1c65025c31e37af9239e211ea14454128a2e
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/config/models.yaml
@@ -0,0 +1,43 @@
+model_params:
+  appearance_feature_extractor_params: # the F in the paper
+    image_channel: 3
+    block_expansion: 64
+    num_down_blocks: 2
+    max_features: 512
+    reshape_channel: 32
+    reshape_depth: 16
+    num_resblocks: 6
+  motion_extractor_params: # the M in the paper
+    num_kp: 21
+    backbone: convnextv2_tiny
+  warping_module_params: # the W in the paper
+    num_kp: 21
+    block_expansion: 64
+    max_features: 512
+    num_down_blocks: 2
+    reshape_channel: 32
+    estimate_occlusion_map: True
+    dense_motion_params:
+      block_expansion: 32
+      max_features: 1024
+      num_blocks: 5
+      reshape_depth: 16
+      compress: 4
+  spade_generator_params: # the G in the paper
+    upscale: 2 # represents upsample factor 256x256 -> 512x512
+    block_expansion: 64
+    max_features: 512
+    num_down_blocks: 2
+  stitching_retargeting_module_params: # the S in the paper
+    stitching:
+      input_size: 126 # (21*3)*2
+      hidden_sizes: [128, 128, 64]
+      output_size: 65 # (21*3)+2(tx,ty)
+    lip:
+      input_size: 65 # (21*3)+2
+      hidden_sizes: [128, 128, 64]
+      output_size: 63 # (21*3)
+    eye:
+      input_size: 66 # (21*3)+3
+      hidden_sizes: [256, 256, 128, 128, 64]
+      output_size: 63 # (21*3)
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/live_portrait_pipeline.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/live_portrait_pipeline.py
new file mode 100644
index 0000000000000000000000000000000000000000..a20b0cc7c2809f5946a48e8fbc820e28af601d6a
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/live_portrait_pipeline.py
@@ -0,0 +1,290 @@
+# coding: utf-8
+
+"""
+Pipeline of LivePortrait
+"""
+
+import comfy.utils
+import comfy.model_management as mm
+import gc
+from tqdm import tqdm
+import numpy as np
+from .config.inference_config import InferenceConfig
+from .utils.camera import get_rotation_matrix
+from .live_portrait_wrapper import LivePortraitWrapper
+from .utils.retargeting_utils import calc_eye_close_ratio, calc_lip_close_ratio
+from .utils.filter import smooth
+from .utils.helper import calc_motion_multiplier
+
+import os
+script_directory = os.path.dirname(os.path.abspath(__file__))
+
+class LivePortraitPipeline(object):
+    def __init__(
+        self,
+        appearance_feature_extractor,
+        motion_extractor,
+        warping_module,
+        spade_generator,
+        stitching_retargeting_module,
+        inference_cfg: InferenceConfig,
+    ):
+        self.live_portrait_wrapper: LivePortraitWrapper = LivePortraitWrapper(
+            appearance_feature_extractor,
+            motion_extractor,
+            warping_module,
+            spade_generator,
+            stitching_retargeting_module,
+            cfg=inference_cfg,
+        )
+
+    def execute(
+        self, driving_images, crop_info, driving_landmarks, delta_multiplier, relative_motion_mode, driving_smooth_observation_variance, mismatch_method="constant", expression_friendly=False, driving_multiplier=1.0, 
+    ):
+        inference_cfg = self.live_portrait_wrapper.cfg
+        device = inference_cfg.device_id
+
+        out_list = []
+        R_d_0, x_d_0_info = None, None
+
+        source_images_num = len(crop_info["crop_info_list"])
+
+        if mismatch_method == "cut" or relative_motion_mode == "source_video_smoothed":
+            total_frames = source_images_num
+        else:
+            total_frames = driving_images.shape[0]
+
+
+        disable_progress_bar = True if relative_motion_mode == "single_frame" else False
+
+        source_info = crop_info["source_info"]
+        source_rot_list = crop_info["source_rot_list"]
+        f_s_list = crop_info["f_s_list"]
+        x_s_list = crop_info["x_s_list"]
+
+        driving_info = []
+        driving_exp_list = []
+        driving_rot_list = []
+        
+        for i in tqdm(range(driving_images.shape[0]), desc='Processing driving images...', total=driving_images.shape[0], disable=disable_progress_bar):
+            #get driving keypoints info
+            safe_index = min(i, source_images_num - 1)
+            if crop_info["crop_info_list"][safe_index] is None:
+                driving_info.append(None)
+                driving_rot_list.append(None)
+                driving_exp_list.append(None)
+                if i == 0:
+                    raise ValueError("No face detected in FIRST source image")
+                continue
+            x_d_info = self.live_portrait_wrapper.get_kp_info(driving_images[i].unsqueeze(0).to(device))
+            
+            if i == 0:
+                first = x_d_info
+
+            driving_info.append(x_d_info)
+
+            driving_exp = source_info[safe_index]["exp"] + x_d_info["exp"] - first["exp"]
+            driving_exp_list.append(driving_exp.cpu())
+
+            R_d = get_rotation_matrix(
+                x_d_info["pitch"], x_d_info["yaw"], x_d_info["roll"]
+            )
+            driving_rot_list.append(R_d)
+
+        if relative_motion_mode == "source_video_smoothed":
+            x_d_r_lst = []
+            first_driving_rot = driving_rot_list[0].cpu().numpy().astype(np.float32).transpose(0, 2, 1)
+            for i in tqdm(range(source_images_num), desc='Smoothing...', total=source_images_num):
+                if driving_rot_list[i] is None:
+                    x_d_r_lst.append(None)
+                    continue
+                driving_rot = driving_rot_list[i].cpu().numpy().astype(np.float32)
+                source_rot = source_rot_list[i].cpu().numpy().astype(np.float32)
+                dot = np.dot(driving_rot, first_driving_rot) @ source_rot
+                x_d_r_lst.append(dot)
+  
+            driving_exp_list_smooth = smooth(driving_exp_list, source_info[0]["exp"].shape, device, observation_variance=driving_smooth_observation_variance)
+            driving_rot_list_smooth = smooth(x_d_r_lst, source_rot_list[0].shape, device, observation_variance=driving_smooth_observation_variance)
+
+        pbar = comfy.utils.ProgressBar(total_frames)
+
+        for i in tqdm(range(total_frames), desc='Animating...', total=total_frames, disable=disable_progress_bar):
+
+            safe_index = min(i, len(crop_info["crop_info_list"]) - 1)
+
+            # skip and return empty frames if no crop due to no face detected
+            if crop_info["crop_info_list"][safe_index] is None:
+                out_list.append({})
+                pbar.update(1)
+                continue
+
+            source_lmk = crop_info["crop_info_list"][safe_index]["lmk_crop"]
+            
+            x_d_info = driving_info[i]
+            R_d = driving_rot_list[i]
+
+            x_s_info = source_info[safe_index]
+            R_s = source_rot_list[safe_index]
+            f_s = f_s_list[safe_index]
+            x_s = x_s_list[safe_index]
+
+            x_c_s = x_s_info["kp"]
+
+            #lip zero
+            if inference_cfg.flag_lip_zero:
+                c_d_lip_before_animation = [0.0]
+                combined_lip_ratio_tensor_before_animation = (self.live_portrait_wrapper.calc_combined_lip_ratio(c_d_lip_before_animation, source_lmk))
+
+                if (combined_lip_ratio_tensor_before_animation[0][0] < inference_cfg.lip_zero_threshold):
+                    inference_cfg.flag_lip_zero = False
+                else:
+                    lip_delta_before_animation = (self.live_portrait_wrapper.retarget_lip(x_s, combined_lip_ratio_tensor_before_animation))
+
+            if relative_motion_mode == "relative":
+                if i == 0:
+                    R_d_0 = R_d
+                    x_d_0_info = x_d_info
+                R_new = (R_d @ R_d_0.permute(0, 2, 1)) @ R_s
+                delta_new = x_s_info["exp"] + (x_d_info["exp"] - x_d_0_info["exp"])
+                scale_new = x_s_info["scale"] * (x_d_info["scale"] / x_d_0_info["scale"])
+                t_new = x_s_info["t"] + (x_d_info["t"] - x_d_0_info["t"])
+            elif relative_motion_mode == "source_video_smoothed":
+                R_new = driving_rot_list_smooth[i]
+                delta_new = driving_exp_list_smooth[i]
+                scale_new = x_s_info["scale"]
+                t_new = x_d_info["t"]
+            elif relative_motion_mode == "relative_rotation_only":
+                R_new = R_s
+                delta_new = x_s_info['exp']
+                scale_new = x_s_info["scale"]
+                t_new = x_d_info["t"]
+            elif relative_motion_mode == "single_frame":
+                R_new = R_d
+                delta_new = x_d_info['exp']
+                scale_new = x_s_info["scale"]
+                t_new = x_d_info["t"]
+            else:
+                R_new = R_d
+                delta_new = x_s_info['exp']
+                scale_new = x_s_info["scale"]
+                t_new = x_d_info["t"]
+
+            t_new[..., 2].fill_(0)  # zero tz
+
+            delta_new = delta_new * delta_multiplier
+            
+            x_d_i_new = scale_new * (x_c_s @ R_new + delta_new) + t_new
+
+            if expression_friendly:
+                if i == 0:
+                    x_d_0_new = x_d_i_new
+                    motion_multiplier = calc_motion_multiplier(x_s, x_d_0_new)
+                    motion_multiplier *= driving_multiplier
+                x_d_diff = (x_d_i_new - x_d_0_new) * motion_multiplier
+                x_d_i_new = x_d_diff + x_s
+
+            if (
+                not inference_cfg.flag_stitching
+                and not inference_cfg.flag_eye_retargeting
+                and not inference_cfg.flag_lip_retargeting
+                ):
+                # without stitching or retargeting
+                if inference_cfg.flag_lip_zero:
+                    x_d_i_new += lip_delta_before_animation.reshape(-1, x_s.shape[1], 3)
+                else:
+                    pass
+            elif (
+                inference_cfg.flag_stitching
+                and not inference_cfg.flag_eye_retargeting
+                and not inference_cfg.flag_lip_retargeting
+                ):
+                # with stitching and without retargeting
+                if inference_cfg.flag_lip_zero:
+                    x_d_i_new = self.live_portrait_wrapper.stitching(
+                        x_s, x_d_i_new
+                    ) + lip_delta_before_animation.reshape(-1, x_s.shape[1], 3)
+                else:
+                    x_d_i_new = self.live_portrait_wrapper.stitching(x_s, x_d_i_new)
+
+            #with eye/lip retargeting
+            else:
+                eyes_delta, lip_delta = None, None
+                if inference_cfg.flag_eye_retargeting:
+                    c_d_eyes_i = calc_eye_close_ratio(driving_landmarks[i][None])
+                    combined_eye_ratio_tensor = (
+                        self.live_portrait_wrapper.calc_combined_eye_ratio(
+                            c_d_eyes_i, source_lmk
+                        )
+                    )
+                    combined_eye_ratio_tensor = (
+                        combined_eye_ratio_tensor
+                        * inference_cfg.eyes_retargeting_multiplier
+                    )
+                    # ∆_eyes,i = R_eyes(x_s; c_s,eyes, c_d,eyes,i)
+                    eyes_delta = self.live_portrait_wrapper.retarget_eye(
+                        x_s, combined_eye_ratio_tensor
+                    )
+                if inference_cfg.flag_lip_retargeting:
+                    c_d_lip_i = calc_lip_close_ratio(driving_landmarks[i][None])
+                    combined_lip_ratio_tensor = (
+                        self.live_portrait_wrapper.calc_combined_lip_ratio(
+                            c_d_lip_i, source_lmk
+                        )
+                    )
+                    combined_lip_ratio_tensor = (
+                        combined_lip_ratio_tensor
+                        * inference_cfg.lip_retargeting_multiplier
+                    )
+                    # ∆_lip,i = R_lip(x_s; c_s,lip, c_d,lip,i)
+                    lip_delta = self.live_portrait_wrapper.retarget_lip(
+                        x_s, combined_lip_ratio_tensor
+                    )
+
+                if relative_motion_mode != "off":  # use x_s
+                    x_d_i_new = (
+                        x_s
+                        + (
+                            eyes_delta.reshape(-1, x_s.shape[1], 3)
+                            if eyes_delta is not None
+                            else 0
+                        )
+                        + (
+                            lip_delta.reshape(-1, x_s.shape[1], 3)
+                            if lip_delta is not None
+                            else 0
+                        )
+                    )
+                else:  # use x_d,i
+                    x_d_i_new = (
+                        x_d_i_new
+                        + (
+                            eyes_delta.reshape(-1, x_s.shape[1], 3)
+                            if eyes_delta is not None
+                            else 0
+                        )
+                        + (
+                            lip_delta.reshape(-1, x_s.shape[1], 3)
+                            if lip_delta is not None
+                            else 0
+                        )
+                    )
+
+                if inference_cfg.flag_stitching:
+                    x_d_i_new = self.live_portrait_wrapper.stitching(x_s, x_d_i_new)
+
+            if inference_cfg.flag_stitching:
+                x_d_i_new = self.live_portrait_wrapper.stitching(x_s, x_d_i_new)
+
+            out = self.live_portrait_wrapper.warp_decode(f_s, x_s, x_d_i_new)
+            
+            out_list.append(out)
+    
+            pbar.update(1)
+
+        out_dict = {
+            "out_list": out_list,
+            "crop_info": crop_info,
+            "mismatch_method": mismatch_method,
+        }
+
+        return out_dict
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/live_portrait_wrapper.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/live_portrait_wrapper.py
new file mode 100644
index 0000000000000000000000000000000000000000..0f8dc4c9c1045df4ce2ed44f9d61d8f28c8e1073
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/live_portrait_wrapper.py
@@ -0,0 +1,259 @@
+# coding: utf-8
+
+"""
+Wrapper for LivePortrait core functions
+"""
+import numpy as np
+import cv2
+import torch
+
+from .utils.timer import Timer
+from .utils.helper import concat_feat
+from .utils.retargeting_utils import compute_eye_delta, compute_lip_delta
+from .utils.camera import headpose_pred_to_degree, get_rotation_matrix
+from .utils.retargeting_utils import calc_eye_close_ratio, calc_lip_close_ratio
+from .config.inference_config import InferenceConfig
+from contextlib import nullcontext
+
+from comfy.model_management import get_autocast_device
+
+class LivePortraitWrapper(object):
+
+    def __init__(self, appearance_feature_extractor, motion_extractor, warping_module,
+                 spade_generator, stitching_retargeting_module, cfg: InferenceConfig):
+
+        self.appearance_feature_extractor = appearance_feature_extractor
+        self.motion_extractor = motion_extractor
+        self.warping_module = warping_module
+        self.spade_generator = spade_generator
+        self.stitching_retargeting_module = stitching_retargeting_module
+
+        self.cfg = cfg
+        self.device_id = cfg.device_id
+        self.timer = Timer()
+
+    def prepare_source(self, img: np.ndarray) -> torch.Tensor:
+        """ construct the input as standard
+        img: HxWx3, uint8, 256x256
+        """
+        h, w = img.shape[:2]
+        if h != self.cfg.input_shape[0] or w != self.cfg.input_shape[1]:
+            x = cv2.resize(img, (self.cfg.input_shape[0], self.cfg.input_shape[1]))
+        else:
+            x = img.copy()
+
+        if x.ndim == 3:
+            x = x[np.newaxis].astype(np.float32) / 255.  # HxWx3 -> 1xHxWx3, normalized to 0~1
+        elif x.ndim == 4:
+            x = x.astype(np.float32) / 255.  # BxHxWx3, normalized to 0~1
+        else:
+            raise ValueError(f'img ndim should be 3 or 4: {x.ndim}')
+        x = np.clip(x, 0, 1)  # clip to 0~1
+        x = torch.from_numpy(x).permute(0, 3, 1, 2)  # 1xHxWx3 -> 1x3xHxW
+        x = x.to(self.device_id)
+        return x
+
+    def extract_feature_3d(self, x: torch.Tensor) -> torch.Tensor:
+        """ get the appearance feature of the image by F
+        x: Bx3xHxW, normalized to 0~1
+        """
+        with torch.autocast(get_autocast_device(self.device_id), dtype=torch.float16) if self.cfg.flag_use_half_precision else nullcontext():
+            feature_3d = self.appearance_feature_extractor(x)
+
+        return feature_3d.float()
+
+    def get_kp_info(self, x: torch.Tensor, **kwargs) -> dict:
+        """ get the implicit keypoint information
+        x: Bx3xHxW, normalized to 0~1
+        flag_refine_info: whether to trandform the pose to degrees and the dimention of the reshape
+        return: A dict contains keys: 'pitch', 'yaw', 'roll', 't', 'exp', 'scale', 'kp'
+        """
+        with torch.autocast(get_autocast_device(self.device_id), dtype=torch.float16) if self.cfg.flag_use_half_precision else nullcontext():
+            kp_info = self.motion_extractor(x)
+
+        if self.cfg.flag_use_half_precision:
+            # float the dict
+            for k, v in kp_info.items():
+                if isinstance(v, torch.Tensor):
+                    kp_info[k] = v.float()
+
+        flag_refine_info: bool = kwargs.get('flag_refine_info', True)
+        if flag_refine_info:
+            bs = kp_info['kp'].shape[0]
+            kp_info['pitch'] = headpose_pred_to_degree(kp_info['pitch'])[:, None]  # Bx1
+            kp_info['yaw'] = headpose_pred_to_degree(kp_info['yaw'])[:, None]  # Bx1
+            kp_info['roll'] = headpose_pred_to_degree(kp_info['roll'])[:, None]  # Bx1
+            kp_info['kp'] = kp_info['kp'].reshape(bs, -1, 3)  # BxNx3
+            kp_info['exp'] = kp_info['exp'].reshape(bs, -1, 3)  # BxNx3
+
+        return kp_info
+
+    def get_pose_dct(self, kp_info: dict) -> dict:
+        pose_dct = dict(
+            pitch=headpose_pred_to_degree(kp_info['pitch']).item(),
+            yaw=headpose_pred_to_degree(kp_info['yaw']).item(),
+            roll=headpose_pred_to_degree(kp_info['roll']).item(),
+        )
+        return pose_dct
+
+    def get_fs_and_kp_info(self, source_prepared, driving_first_frame):
+
+        # get the canonical keypoints of source image by M
+        source_kp_info = self.get_kp_info(source_prepared, flag_refine_info=True)
+        source_rotation = get_rotation_matrix(source_kp_info['pitch'], source_kp_info['yaw'], source_kp_info['roll'])
+
+        # get the canonical keypoints of first driving frame by M
+        driving_first_frame_kp_info = self.get_kp_info(driving_first_frame, flag_refine_info=True)
+        driving_first_frame_rotation = get_rotation_matrix(
+            driving_first_frame_kp_info['pitch'],
+            driving_first_frame_kp_info['yaw'],
+            driving_first_frame_kp_info['roll']
+        )
+
+        # get feature volume by F
+        source_feature_3d = self.extract_feature_3d(source_prepared)
+
+        return source_kp_info, source_rotation, source_feature_3d, driving_first_frame_kp_info, driving_first_frame_rotation
+
+    def transform_keypoint(self, kp_info: dict):
+        """
+        transform the implicit keypoints with the pose, shift, and expression deformation
+        kp: BxNx3
+        """
+        kp = kp_info['kp']    # (bs, k, 3)
+        pitch, yaw, roll = kp_info['pitch'], kp_info['yaw'], kp_info['roll']
+
+        t, exp = kp_info['t'], kp_info['exp']
+        scale = kp_info['scale']
+
+        pitch = headpose_pred_to_degree(pitch)
+        yaw = headpose_pred_to_degree(yaw)
+        roll = headpose_pred_to_degree(roll)
+
+        bs = kp.shape[0]
+        if kp.ndim == 2:
+            num_kp = kp.shape[1] // 3  # Bx(num_kpx3)
+        else:
+            num_kp = kp.shape[1]  # Bxnum_kpx3
+
+        rot_mat = get_rotation_matrix(pitch, yaw, roll)    # (bs, 3, 3)
+
+        # Eqn.2: s * (R * x_c,s + exp) + t
+        kp_transformed = kp.view(bs, num_kp, 3) @ rot_mat + exp.view(bs, num_kp, 3)
+        kp_transformed *= scale[..., None]  # (bs, k, 3) * (bs, 1, 1) = (bs, k, 3)
+        kp_transformed[:, :, 0:2] += t[:, None, 0:2]  # remove z, only apply tx ty
+
+        return kp_transformed
+
+    def retarget_eye(self, kp_source: torch.Tensor, eye_close_ratio: torch.Tensor) -> torch.Tensor:
+        """
+        kp_source: BxNx3
+        eye_close_ratio: Bx3
+        Return: Bx(3*num_kp+2)
+        """
+        feat_eye = concat_feat(kp_source, eye_close_ratio)
+
+        with torch.no_grad():
+            delta = self.stitching_retargeting_module['eye'](feat_eye)
+
+        return delta
+
+    def retarget_lip(self, kp_source: torch.Tensor, lip_close_ratio: torch.Tensor) -> torch.Tensor:
+        """
+        kp_source: BxNx3
+        lip_close_ratio: Bx2
+        """
+        feat_lip = concat_feat(kp_source, lip_close_ratio)
+
+        with torch.no_grad():
+            delta = self.stitching_retargeting_module['lip'](feat_lip)
+
+        return delta
+
+    def stitch(self, kp_source: torch.Tensor, kp_driving: torch.Tensor) -> torch.Tensor:
+        """
+        kp_source: BxNx3
+        kp_driving: BxNx3
+        Return: Bx(3*num_kp+2)
+        """
+        feat_stiching = concat_feat(kp_source, kp_driving)
+
+        with torch.no_grad():
+            delta = self.stitching_retargeting_module['stitching'](feat_stiching)
+
+        return delta
+
+    def stitching(self, kp_source: torch.Tensor, kp_driving: torch.Tensor) -> torch.Tensor:
+        """ conduct the stitching
+        kp_source: Bxnum_kpx3
+        kp_driving: Bxnum_kpx3
+        """
+
+        if self.stitching_retargeting_module is not None:
+
+            bs, num_kp = kp_source.shape[:2]
+
+            kp_driving_new = kp_driving.clone()
+            delta = self.stitch(kp_source, kp_driving_new)
+
+            delta_exp = delta[..., :3*num_kp].reshape(bs, num_kp, 3)  # 1x20x3
+            delta_tx_ty = delta[..., 3*num_kp:3*num_kp+2].reshape(bs, 1, 2)  # 1x1x2
+
+            kp_driving_new += delta_exp
+            kp_driving_new[..., :2] += delta_tx_ty
+
+            return kp_driving_new
+
+        return kp_driving
+
+    def warp_decode(self, feature_3d: torch.Tensor, kp_source: torch.Tensor, kp_driving: torch.Tensor) -> torch.Tensor:
+        """ get the image after the warping of the implicit keypoints
+        feature_3d: Bx32x16x64x64, feature volume
+        kp_source: BxNx3
+        kp_driving: BxNx3
+        """
+        # The line 18 in Algorithm 1: D(W(f_s; x_s, x′_d,i)
+        with torch.autocast(get_autocast_device(self.device_id), dtype=torch.float16) if self.cfg.flag_use_half_precision else nullcontext():
+            # get decoder input
+            ret_dct = self.warping_module(feature_3d, kp_source=kp_source, kp_driving=kp_driving)
+            # decode
+            ret_dct['out'] = self.spade_generator(feature=ret_dct['out'])
+
+        # float the dict
+        for k, v in ret_dct.items():
+            if isinstance(v, torch.Tensor):
+                ret_dct[k] = v.cpu()
+                if self.cfg.flag_use_half_precision:
+                    ret_dct[k] = ret_dct[k].float()
+
+        return ret_dct
+
+    def calc_retargeting_ratio(self, source_lmk, driving_lmk_lst):
+        input_eye_ratio_lst = []
+        input_lip_ratio_lst = []
+        for lmk in driving_lmk_lst:
+            # for eyes retargeting
+            input_eye_ratio_lst.append(calc_eye_close_ratio(lmk[None]))
+            # for lip retargeting
+            input_lip_ratio_lst.append(calc_lip_close_ratio(lmk[None]))
+        return input_eye_ratio_lst, input_lip_ratio_lst
+
+    def calc_combined_eye_ratio(self, input_eye_ratio, source_lmk):
+        eye_close_ratio = calc_eye_close_ratio(source_lmk[None])
+        eye_close_ratios_tensor = torch.from_numpy(eye_close_ratio).float().to(self.device_id)
+        input_eye_ratio_array = np.array(input_eye_ratio[0][0]).reshape(1, 1)
+        input_eye_ratio_tensor = torch.from_numpy(input_eye_ratio_array).float().to(self.device_id)
+        # [c_s,eyes, c_d,eyes,i]
+        combined_eye_ratios_tensor = torch.cat([eye_close_ratios_tensor, input_eye_ratio_tensor], dim=1)
+        return combined_eye_ratios_tensor
+
+    def calc_combined_lip_ratio(self, input_lip_ratio, source_lmk):
+        lip_close_ratio = calc_lip_close_ratio(source_lmk[None])
+        lip_close_ratio_tensor = torch.from_numpy(lip_close_ratio).float().to(self.device_id)
+        # [c_s,lip, c_d,lip,i]
+        input_lip_ratio_array = np.array([input_lip_ratio[0]])
+        input_lip_ratio_tensor = torch.from_numpy(input_lip_ratio_array).float().to(self.device_id)
+        if input_lip_ratio_tensor.shape != [1, 1]:
+            input_lip_ratio_tensor = input_lip_ratio_tensor.reshape(1, 1)
+        combined_lip_ratio_tensor = torch.cat([lip_close_ratio_tensor, input_lip_ratio_tensor], dim=1)
+        return combined_lip_ratio_tensor
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diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/appearance_feature_extractor.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/appearance_feature_extractor.py
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index 0000000000000000000000000000000000000000..8d89e4f18a2fbe58447f52ab4c5e3f2011a4ec80
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/appearance_feature_extractor.py
@@ -0,0 +1,48 @@
+# coding: utf-8
+
+"""
+Appearance extractor(F) defined in paper, which maps the source image s to a 3D appearance feature volume.
+"""
+
+import torch
+from torch import nn
+from .util import SameBlock2d, DownBlock2d, ResBlock3d
+
+
+class AppearanceFeatureExtractor(nn.Module):
+
+    def __init__(self, image_channel, block_expansion, num_down_blocks, max_features, reshape_channel, reshape_depth, num_resblocks):
+        super(AppearanceFeatureExtractor, self).__init__()
+        self.image_channel = image_channel
+        self.block_expansion = block_expansion
+        self.num_down_blocks = num_down_blocks
+        self.max_features = max_features
+        self.reshape_channel = reshape_channel
+        self.reshape_depth = reshape_depth
+
+        self.first = SameBlock2d(image_channel, block_expansion, kernel_size=(3, 3), padding=(1, 1))
+
+        down_blocks = []
+        for i in range(num_down_blocks):
+            in_features = min(max_features, block_expansion * (2 ** i))
+            out_features = min(max_features, block_expansion * (2 ** (i + 1)))
+            down_blocks.append(DownBlock2d(in_features, out_features, kernel_size=(3, 3), padding=(1, 1)))
+        self.down_blocks = nn.ModuleList(down_blocks)
+
+        self.second = nn.Conv2d(in_channels=out_features, out_channels=max_features, kernel_size=1, stride=1)
+
+        self.resblocks_3d = torch.nn.Sequential()
+        for i in range(num_resblocks):
+            self.resblocks_3d.add_module('3dr' + str(i), ResBlock3d(reshape_channel, kernel_size=3, padding=1))
+
+    def forward(self, source_image):
+        out = self.first(source_image)  # Bx3x256x256 -> Bx64x256x256
+
+        for i in range(len(self.down_blocks)):
+            out = self.down_blocks[i](out)
+        out = self.second(out)
+        bs, c, h, w = out.shape  # ->Bx512x64x64
+
+        f_s = out.view(bs, self.reshape_channel, self.reshape_depth, h, w)  # ->Bx32x16x64x64
+        f_s = self.resblocks_3d(f_s)  # ->Bx32x16x64x64
+        return f_s
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/convnextv2.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/convnextv2.py
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index 0000000000000000000000000000000000000000..83ea12662b607854915df8c7abb160b588d330b1
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/convnextv2.py
@@ -0,0 +1,149 @@
+# coding: utf-8
+
+"""
+This moudle is adapted to the ConvNeXtV2 version for the extraction of implicit keypoints, poses, and expression deformation.
+"""
+
+import torch
+import torch.nn as nn
+# from timm.models.layers import trunc_normal_, DropPath
+from .util import LayerNorm, DropPath, trunc_normal_, GRN
+
+__all__ = ['convnextv2_tiny']
+
+
+class Block(nn.Module):
+    """ ConvNeXtV2 Block.
+
+    Args:
+        dim (int): Number of input channels.
+        drop_path (float): Stochastic depth rate. Default: 0.0
+    """
+
+    def __init__(self, dim, drop_path=0.):
+        super().__init__()
+        self.dwconv = nn.Conv2d(dim, dim, kernel_size=7, padding=3, groups=dim)  # depthwise conv
+        self.norm = LayerNorm(dim, eps=1e-6)
+        self.pwconv1 = nn.Linear(dim, 4 * dim)  # pointwise/1x1 convs, implemented with linear layers
+        self.act = nn.GELU()
+        self.grn = GRN(4 * dim)
+        self.pwconv2 = nn.Linear(4 * dim, dim)
+        self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity()
+
+    def forward(self, x):
+        input = x
+        x = self.dwconv(x)
+        x = x.permute(0, 2, 3, 1)  # (N, C, H, W) -> (N, H, W, C)
+        x = self.norm(x)
+        x = self.pwconv1(x)
+        x = self.act(x)
+        x = self.grn(x)
+        x = self.pwconv2(x)
+        x = x.permute(0, 3, 1, 2)  # (N, H, W, C) -> (N, C, H, W)
+
+        x = input + self.drop_path(x)
+        return x
+
+
+class ConvNeXtV2(nn.Module):
+    """ ConvNeXt V2
+
+    Args:
+        in_chans (int): Number of input image channels. Default: 3
+        num_classes (int): Number of classes for classification head. Default: 1000
+        depths (tuple(int)): Number of blocks at each stage. Default: [3, 3, 9, 3]
+        dims (int): Feature dimension at each stage. Default: [96, 192, 384, 768]
+        drop_path_rate (float): Stochastic depth rate. Default: 0.
+        head_init_scale (float): Init scaling value for classifier weights and biases. Default: 1.
+    """
+
+    def __init__(
+        self,
+        in_chans=3,
+        depths=[3, 3, 9, 3],
+        dims=[96, 192, 384, 768],
+        drop_path_rate=0.,
+        **kwargs
+    ):
+        super().__init__()
+        self.depths = depths
+        self.downsample_layers = nn.ModuleList()  # stem and 3 intermediate downsampling conv layers
+        stem = nn.Sequential(
+            nn.Conv2d(in_chans, dims[0], kernel_size=4, stride=4),
+            LayerNorm(dims[0], eps=1e-6, data_format="channels_first")
+        )
+        self.downsample_layers.append(stem)
+        for i in range(3):
+            downsample_layer = nn.Sequential(
+                LayerNorm(dims[i], eps=1e-6, data_format="channels_first"),
+                nn.Conv2d(dims[i], dims[i+1], kernel_size=2, stride=2),
+            )
+            self.downsample_layers.append(downsample_layer)
+
+        self.stages = nn.ModuleList()  # 4 feature resolution stages, each consisting of multiple residual blocks
+        dp_rates = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))]
+        cur = 0
+        for i in range(4):
+            stage = nn.Sequential(
+                *[Block(dim=dims[i], drop_path=dp_rates[cur + j]) for j in range(depths[i])]
+            )
+            self.stages.append(stage)
+            cur += depths[i]
+
+        self.norm = nn.LayerNorm(dims[-1], eps=1e-6)  # final norm layer
+
+        # NOTE: the output semantic items
+        num_bins = kwargs.get('num_bins', 66)
+        num_kp = kwargs.get('num_kp', 24)  # the number of implicit keypoints
+        self.fc_kp = nn.Linear(dims[-1], 3 * num_kp)  # implicit keypoints
+
+        # print('dims[-1]: ', dims[-1])
+        self.fc_scale = nn.Linear(dims[-1], 1)  # scale
+        self.fc_pitch = nn.Linear(dims[-1], num_bins)  # pitch bins
+        self.fc_yaw = nn.Linear(dims[-1], num_bins)  # yaw bins
+        self.fc_roll = nn.Linear(dims[-1], num_bins)  # roll bins
+        self.fc_t = nn.Linear(dims[-1], 3)  # translation
+        self.fc_exp = nn.Linear(dims[-1], 3 * num_kp)  # expression / delta
+
+    def _init_weights(self, m):
+        if isinstance(m, (nn.Conv2d, nn.Linear)):
+            trunc_normal_(m.weight, std=.02)
+            nn.init.constant_(m.bias, 0)
+
+    def forward_features(self, x):
+        for i in range(4):
+            x = self.downsample_layers[i](x)
+            x = self.stages[i](x)
+        return self.norm(x.mean([-2, -1]))  # global average pooling, (N, C, H, W) -> (N, C)
+
+    def forward(self, x):
+        x = self.forward_features(x)
+
+        # implicit keypoints
+        kp = self.fc_kp(x)
+
+        # pose and expression deformation
+        pitch = self.fc_pitch(x)
+        yaw = self.fc_yaw(x)
+        roll = self.fc_roll(x)
+        t = self.fc_t(x)
+        exp = self.fc_exp(x)
+        scale = self.fc_scale(x)
+
+        ret_dct = {
+            'pitch': pitch,
+            'yaw': yaw,
+            'roll': roll,
+            't': t,
+            'exp': exp,
+            'scale': scale,
+
+            'kp': kp,  # canonical keypoint
+        }
+
+        return ret_dct
+
+
+def convnextv2_tiny(**kwargs):
+    model = ConvNeXtV2(depths=[3, 3, 9, 3], dims=[96, 192, 384, 768], **kwargs)
+    return model
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/dense_motion.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/dense_motion.py
new file mode 100644
index 0000000000000000000000000000000000000000..502243f8faa1603dc739ab25c76eacccb1371908
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/dense_motion.py
@@ -0,0 +1,113 @@
+# coding: utf-8
+
+"""
+The module that predicting a dense motion from sparse motion representation given by kp_source and kp_driving
+"""
+
+from torch import nn
+import torch.nn.functional as F
+import torch
+from .util import Hourglass, make_coordinate_grid, kp2gaussian
+
+
+class DenseMotionNetwork(nn.Module):
+    def __init__(self, block_expansion, num_blocks, max_features, num_kp, feature_channel, reshape_depth, compress, estimate_occlusion_map=True):
+        super(DenseMotionNetwork, self).__init__()
+        self.hourglass = Hourglass(block_expansion=block_expansion, in_features=(num_kp+1)*(compress+1), max_features=max_features, num_blocks=num_blocks)  # ~60+G
+
+        self.mask = nn.Conv3d(self.hourglass.out_filters, num_kp + 1, kernel_size=7, padding=3)  # 65G! NOTE: computation cost is large
+        self.compress = nn.Conv3d(feature_channel, compress, kernel_size=1)  # 0.8G
+        self.norm = nn.BatchNorm3d(compress, affine=True)
+        self.num_kp = num_kp
+        self.flag_estimate_occlusion_map = estimate_occlusion_map
+
+        if self.flag_estimate_occlusion_map:
+            self.occlusion = nn.Conv2d(self.hourglass.out_filters*reshape_depth, 1, kernel_size=7, padding=3)
+        else:
+            self.occlusion = None
+
+    def create_sparse_motions(self, feature, kp_driving, kp_source):
+        bs, _, d, h, w = feature.shape  # (bs, 4, 16, 64, 64)
+        identity_grid = make_coordinate_grid((d, h, w), ref=kp_source)  # (16, 64, 64, 3)
+        identity_grid = identity_grid.view(1, 1, d, h, w, 3)  # (1, 1, d=16, h=64, w=64, 3)
+        coordinate_grid = identity_grid - kp_driving.view(bs, self.num_kp, 1, 1, 1, 3)
+
+        k = coordinate_grid.shape[1]
+
+        # NOTE: there lacks an one-order flow
+        driving_to_source = coordinate_grid + kp_source.view(bs, self.num_kp, 1, 1, 1, 3)    # (bs, num_kp, d, h, w, 3)
+
+        # adding background feature
+        identity_grid = identity_grid.repeat(bs, 1, 1, 1, 1, 1)
+        sparse_motions = torch.cat([identity_grid, driving_to_source], dim=1)  # (bs, 1+num_kp, d, h, w, 3)
+        return sparse_motions
+
+    def create_deformed_feature(self, feature, sparse_motions):
+        bs, _, d, h, w = feature.shape
+        feature_repeat = feature.unsqueeze(1).unsqueeze(1).repeat(1, self.num_kp+1, 1, 1, 1, 1, 1)      # (bs, num_kp+1, 1, c, d, h, w)
+        feature_repeat = feature_repeat.view(bs * (self.num_kp+1), -1, d, h, w)                         # (bs*(num_kp+1), c, d, h, w)
+        sparse_motions = sparse_motions.view((bs * (self.num_kp+1), d, h, w, -1))                       # (bs*(num_kp+1), d, h, w, 3)
+        try:
+            sparse_deformed = F.grid_sample(feature_repeat, sparse_motions, align_corners=False)        
+        except NotImplementedError: #MPS fallback
+            out_device = feature_repeat.device # Store input device
+            feature_repeat = feature_repeat.to('cpu')
+            sparse_motions = sparse_motions.to('cpu')
+            sparse_deformed = F.grid_sample(feature_repeat, sparse_motions, align_corners=False).to(out_device)
+        sparse_deformed = sparse_deformed.view((bs, self.num_kp+1, -1, d, h, w))                        # (bs, num_kp+1, c, d, h, w)
+
+        return sparse_deformed
+
+    def create_heatmap_representations(self, feature, kp_driving, kp_source):
+        spatial_size = feature.shape[3:]  # (d=16, h=64, w=64)
+        gaussian_driving = kp2gaussian(kp_driving, spatial_size=spatial_size, kp_variance=0.01)  # (bs, num_kp, d, h, w)
+        gaussian_source = kp2gaussian(kp_source, spatial_size=spatial_size, kp_variance=0.01)  # (bs, num_kp, d, h, w)
+        heatmap = gaussian_driving - gaussian_source  # (bs, num_kp, d, h, w)
+
+        # adding background feature
+        try:
+            zeros = torch.zeros(heatmap.shape[0], 1, spatial_size[0], spatial_size[1], spatial_size[2]).type(heatmap.type()).to(heatmap.device)
+        except ValueError:
+            zeros = torch.zeros(heatmap.shape[0], 1, spatial_size[0], spatial_size[1], spatial_size[2]).to(heatmap.device)
+        heatmap = torch.cat([zeros, heatmap], dim=1)
+        heatmap = heatmap.unsqueeze(2)         # (bs, 1+num_kp, 1, d, h, w)
+        return heatmap
+
+    def forward(self, feature, kp_driving, kp_source):
+        bs, _, d, h, w = feature.shape  # (bs, 32, 16, 64, 64)
+
+        feature = self.compress(feature)  # (bs, 4, 16, 64, 64)
+        feature = self.norm(feature)  # (bs, 4, 16, 64, 64)
+        feature = F.relu(feature)  # (bs, 4, 16, 64, 64)
+
+        out_dict = dict()
+
+        # 1. deform 3d feature
+        sparse_motion = self.create_sparse_motions(feature, kp_driving, kp_source)  # (bs, 1+num_kp, d, h, w, 3)
+        deformed_feature = self.create_deformed_feature(feature, sparse_motion)  # (bs, 1+num_kp, c=4, d=16, h=64, w=64)
+
+        # 2. (bs, 1+num_kp, d, h, w)
+        heatmap = self.create_heatmap_representations(deformed_feature, kp_driving, kp_source)  # (bs, 1+num_kp, 1, d, h, w)
+
+        input = torch.cat([heatmap, deformed_feature], dim=2)  # (bs, 1+num_kp, c=5, d=16, h=64, w=64)
+        input = input.view(bs, -1, d, h, w)  # (bs, (1+num_kp)*c=105, d=16, h=64, w=64)
+
+        prediction = self.hourglass(input)
+
+        mask = self.mask(prediction)
+        mask = F.softmax(mask, dim=1)  # (bs, 1+num_kp, d=16, h=64, w=64)
+        out_dict['mask'] = mask
+        mask = mask.unsqueeze(2)                                   # (bs, num_kp+1, 1, d, h, w)
+        sparse_motion = sparse_motion.permute(0, 1, 5, 2, 3, 4)    # (bs, num_kp+1, 3, d, h, w)
+        deformation = (sparse_motion * mask).sum(dim=1)            # (bs, 3, d, h, w)  mask take effect in this place
+        deformation = deformation.permute(0, 2, 3, 4, 1)           # (bs, d, h, w, 3)
+
+        out_dict['deformation'] = deformation
+
+        if self.flag_estimate_occlusion_map:
+            bs, _, d, h, w = prediction.shape
+            prediction_reshape = prediction.view(bs, -1, h, w)
+            occlusion_map = torch.sigmoid(self.occlusion(prediction_reshape))  # Bx1x64x64
+            out_dict['occlusion_map'] = occlusion_map
+
+        return out_dict
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/motion_extractor.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/motion_extractor.py
new file mode 100644
index 0000000000000000000000000000000000000000..b2982e53c52d9ec1e0bec0453cc05edb51a15d23
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/motion_extractor.py
@@ -0,0 +1,35 @@
+# coding: utf-8
+
+"""
+Motion extractor(M), which directly predicts the canonical keypoints, head pose and expression deformation of the input image
+"""
+
+from torch import nn
+import torch
+
+from .convnextv2 import convnextv2_tiny
+from .util import filter_state_dict
+
+model_dict = {
+    'convnextv2_tiny': convnextv2_tiny,
+}
+
+
+class MotionExtractor(nn.Module):
+    def __init__(self, **kwargs):
+        super(MotionExtractor, self).__init__()
+
+        # default is convnextv2_base
+        backbone = kwargs.get('backbone', 'convnextv2_tiny')
+        self.detector = model_dict.get(backbone)(**kwargs)
+
+    def load_pretrained(self, init_path: str):
+        if init_path not in (None, ''):
+            state_dict = torch.load(init_path, map_location=lambda storage, loc: storage)['model']
+            state_dict = filter_state_dict(state_dict, remove_name='head')
+            ret = self.detector.load_state_dict(state_dict, strict=False)
+            print(f'Load pretrained model from {init_path}, ret: {ret}')
+
+    def forward(self, x):
+        out = self.detector(x)
+        return out
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/spade_generator.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/spade_generator.py
new file mode 100644
index 0000000000000000000000000000000000000000..147a9aed0c7707fe6ae3d59ce1a30154ef75afcc
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/spade_generator.py
@@ -0,0 +1,59 @@
+# coding: utf-8
+
+"""
+Spade decoder(G) defined in the paper, which input the warped feature to generate the animated image.
+"""
+
+import torch
+from torch import nn
+import torch.nn.functional as F
+from .util import SPADEResnetBlock
+
+
+class SPADEDecoder(nn.Module):
+    def __init__(self, upscale=1, max_features=256, block_expansion=64, out_channels=64, num_down_blocks=2):
+        for i in range(num_down_blocks):
+            input_channels = min(max_features, block_expansion * (2 ** (i + 1)))
+        self.upscale = upscale
+        super().__init__()
+        norm_G = 'spadespectralinstance'
+        label_num_channels = input_channels  # 256
+
+        self.fc = nn.Conv2d(input_channels, 2 * input_channels, 3, padding=1)
+        self.G_middle_0 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.G_middle_1 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.G_middle_2 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.G_middle_3 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.G_middle_4 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.G_middle_5 = SPADEResnetBlock(2 * input_channels, 2 * input_channels, norm_G, label_num_channels)
+        self.up_0 = SPADEResnetBlock(2 * input_channels, input_channels, norm_G, label_num_channels)
+        self.up_1 = SPADEResnetBlock(input_channels, out_channels, norm_G, label_num_channels)
+        self.up = nn.Upsample(scale_factor=2)
+
+        if self.upscale is None or self.upscale <= 1:
+            self.conv_img = nn.Conv2d(out_channels, 3, 3, padding=1)
+        else:
+            self.conv_img = nn.Sequential(
+                nn.Conv2d(out_channels, 3 * (2 * 2), kernel_size=3, padding=1),
+                nn.PixelShuffle(upscale_factor=2)
+            )
+
+    def forward(self, feature):
+        seg = feature  # Bx256x64x64
+        x = self.fc(feature)  # Bx512x64x64
+        x = self.G_middle_0(x, seg)
+        x = self.G_middle_1(x, seg)
+        x = self.G_middle_2(x, seg)
+        x = self.G_middle_3(x, seg)
+        x = self.G_middle_4(x, seg)
+        x = self.G_middle_5(x, seg)
+
+        x = self.up(x)  # Bx512x64x64 -> Bx512x128x128
+        x = self.up_0(x, seg)  # Bx512x128x128 -> Bx256x128x128
+        x = self.up(x)  # Bx256x128x128 -> Bx256x256x256
+        x = self.up_1(x, seg)  # Bx256x256x256 -> Bx64x256x256
+
+        x = self.conv_img(F.leaky_relu(x, 2e-1))  # Bx64x256x256 -> Bx3xHxW
+        x = torch.sigmoid(x)  # Bx3xHxW
+
+        return x
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/stitching_retargeting_network.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/stitching_retargeting_network.py
new file mode 100644
index 0000000000000000000000000000000000000000..5f50b7cf5a21cd71c70a7bbaaa4b6b68b4762ea3
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/stitching_retargeting_network.py
@@ -0,0 +1,38 @@
+# coding: utf-8
+
+"""
+Stitching module(S) and two retargeting modules(R) defined in the paper.
+
+- The stitching module pastes the animated portrait back into the original image space without pixel misalignment, such as in
+the stitching region.
+
+- The eyes retargeting module is designed to address the issue of incomplete eye closure during cross-id reenactment, especially
+when a person with small eyes drives a person with larger eyes.
+
+- The lip retargeting module is designed similarly to the eye retargeting module, and can also normalize the input by ensuring that
+the lips are in a closed state, which facilitates better animation driving.
+"""
+from torch import nn
+
+
+class StitchingRetargetingNetwork(nn.Module):
+    def __init__(self, input_size, hidden_sizes, output_size):
+        super(StitchingRetargetingNetwork, self).__init__()
+        layers = []
+        for i in range(len(hidden_sizes)):
+            if i == 0:
+                layers.append(nn.Linear(input_size, hidden_sizes[i]))
+            else:
+                layers.append(nn.Linear(hidden_sizes[i - 1], hidden_sizes[i]))
+            layers.append(nn.ReLU(inplace=True))
+        layers.append(nn.Linear(hidden_sizes[-1], output_size))
+        self.mlp = nn.Sequential(*layers)
+
+    def initialize_weights_to_zero(self):
+        for m in self.modules():
+            if isinstance(m, nn.Linear):
+                nn.init.zeros_(m.weight)
+                nn.init.zeros_(m.bias)
+
+    def forward(self, x):
+        return self.mlp(x)
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/util.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/util.py
new file mode 100644
index 0000000000000000000000000000000000000000..050a6e8d3c5016cad2ac51d456b6b938e345ad65
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/util.py
@@ -0,0 +1,445 @@
+# coding: utf-8
+
+"""
+This file defines various neural network modules and utility functions, including convolutional and residual blocks,
+normalizations, and functions for spatial transformation and tensor manipulation.
+"""
+
+from torch import nn
+import torch.nn.functional as F
+import torch
+import torch.nn.utils.spectral_norm as spectral_norm
+import math
+import warnings
+
+
+def kp2gaussian(kp, spatial_size, kp_variance):
+    """
+    Transform a keypoint into gaussian like representation
+    """
+    mean = kp
+
+    coordinate_grid = make_coordinate_grid(spatial_size, mean)
+    number_of_leading_dimensions = len(mean.shape) - 1
+    shape = (1,) * number_of_leading_dimensions + coordinate_grid.shape
+    coordinate_grid = coordinate_grid.view(*shape)
+    repeats = mean.shape[:number_of_leading_dimensions] + (1, 1, 1, 1)
+    coordinate_grid = coordinate_grid.repeat(*repeats)
+
+    # Preprocess kp shape
+    shape = mean.shape[:number_of_leading_dimensions] + (1, 1, 1, 3)
+    mean = mean.view(*shape)
+
+    mean_sub = (coordinate_grid - mean)
+
+    out = torch.exp(-0.5 * (mean_sub ** 2).sum(-1) / kp_variance)
+
+    return out
+
+
+def make_coordinate_grid(spatial_size, ref, **kwargs):
+    d, h, w = spatial_size
+    x = torch.arange(w).type(ref.dtype).to(ref.device)
+    y = torch.arange(h).type(ref.dtype).to(ref.device)
+    z = torch.arange(d).type(ref.dtype).to(ref.device)
+
+    # NOTE: must be right-down-in
+    x = (2 * (x / (w - 1)) - 1)  # the x axis faces to the right
+    y = (2 * (y / (h - 1)) - 1)  # the y axis faces to the bottom
+    z = (2 * (z / (d - 1)) - 1)  # the z axis faces to the inner
+
+    yy = y.view(1, -1, 1).repeat(d, 1, w)
+    xx = x.view(1, 1, -1).repeat(d, h, 1)
+    zz = z.view(-1, 1, 1).repeat(1, h, w)
+
+    meshed = torch.cat([xx.unsqueeze_(3), yy.unsqueeze_(3), zz.unsqueeze_(3)], 3)
+
+    return meshed
+
+
+class ConvT2d(nn.Module):
+    """
+    Upsampling block for use in decoder.
+    """
+
+    def __init__(self, in_features, out_features, kernel_size=3, stride=2, padding=1, output_padding=1):
+        super(ConvT2d, self).__init__()
+
+        self.convT = nn.ConvTranspose2d(in_features, out_features, kernel_size=kernel_size, stride=stride,
+                                        padding=padding, output_padding=output_padding)
+        self.norm = nn.InstanceNorm2d(out_features)
+
+    def forward(self, x):
+        out = self.convT(x)
+        out = self.norm(out)
+        out = F.leaky_relu(out)
+        return out
+
+
+class ResBlock3d(nn.Module):
+    """
+    Res block, preserve spatial resolution.
+    """
+
+    def __init__(self, in_features, kernel_size, padding):
+        super(ResBlock3d, self).__init__()
+        self.conv1 = nn.Conv3d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, padding=padding)
+        self.conv2 = nn.Conv3d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, padding=padding)
+        self.norm1 = nn.BatchNorm3d(in_features, affine=True)
+        self.norm2 = nn.BatchNorm3d(in_features, affine=True)
+
+    def forward(self, x):
+        out = self.norm1(x)
+        out = F.relu(out)
+        out = self.conv1(out)
+        out = self.norm2(out)
+        out = F.relu(out)
+        out = self.conv2(out)
+        out += x
+        return out
+
+
+class UpBlock3d(nn.Module):
+    """
+    Upsampling block for use in decoder.
+    """
+
+    def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1):
+        super(UpBlock3d, self).__init__()
+
+        self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size,
+                              padding=padding, groups=groups)
+        self.norm = nn.BatchNorm3d(out_features, affine=True)
+
+    def forward(self, x):
+        out = F.interpolate(x, scale_factor=(1, 2, 2))
+        out = self.conv(out)
+        out = self.norm(out)
+        out = F.relu(out)
+        return out
+
+
+class DownBlock2d(nn.Module):
+    """
+    Downsampling block for use in encoder.
+    """
+
+    def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1):
+        super(DownBlock2d, self).__init__()
+        self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, padding=padding, groups=groups)
+        self.norm = nn.BatchNorm2d(out_features, affine=True)
+        self.pool = nn.AvgPool2d(kernel_size=(2, 2))
+
+    def forward(self, x):
+        out = self.conv(x)
+        out = self.norm(out)
+        out = F.relu(out)
+        out = self.pool(out)
+        return out
+
+
+class DownBlock3d(nn.Module):
+    """
+    Downsampling block for use in encoder.
+    """
+
+    def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1):
+        super(DownBlock3d, self).__init__()
+        '''
+        self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size,
+                                padding=padding, groups=groups, stride=(1, 2, 2))
+        '''
+        self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size,
+                              padding=padding, groups=groups)
+        self.norm = nn.BatchNorm3d(out_features, affine=True)
+        self.pool = nn.AvgPool3d(kernel_size=(1, 2, 2))
+
+    def forward(self, x):
+        out = self.conv(x)
+        out = self.norm(out)
+        out = F.relu(out)
+        try:
+            out = self.pool(out)
+        except NotImplementedError:
+            out_device = out.device # Store input device
+            out = self.pool(out.to('cpu')).to(out_device)
+        return out
+
+
+class SameBlock2d(nn.Module):
+    """
+    Simple block, preserve spatial resolution.
+    """
+
+    def __init__(self, in_features, out_features, groups=1, kernel_size=3, padding=1, lrelu=False):
+        super(SameBlock2d, self).__init__()
+        self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, padding=padding, groups=groups)
+        self.norm = nn.BatchNorm2d(out_features, affine=True)
+        if lrelu:
+            self.ac = nn.LeakyReLU()
+        else:
+            self.ac = nn.ReLU()
+
+    def forward(self, x):
+        out = self.conv(x)
+        out = self.norm(out)
+        out = self.ac(out)
+        return out
+
+
+class Encoder(nn.Module):
+    """
+    Hourglass Encoder
+    """
+
+    def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256):
+        super(Encoder, self).__init__()
+
+        down_blocks = []
+        for i in range(num_blocks):
+            down_blocks.append(DownBlock3d(in_features if i == 0 else min(max_features, block_expansion * (2 ** i)), min(max_features, block_expansion * (2 ** (i + 1))), kernel_size=3, padding=1))
+        self.down_blocks = nn.ModuleList(down_blocks)
+
+    def forward(self, x):
+        outs = [x]
+        for down_block in self.down_blocks:
+            outs.append(down_block(outs[-1]))
+        return outs
+
+
+class Decoder(nn.Module):
+    """
+    Hourglass Decoder
+    """
+
+    def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256):
+        super(Decoder, self).__init__()
+
+        up_blocks = []
+
+        for i in range(num_blocks)[::-1]:
+            in_filters = (1 if i == num_blocks - 1 else 2) * min(max_features, block_expansion * (2 ** (i + 1)))
+            out_filters = min(max_features, block_expansion * (2 ** i))
+            up_blocks.append(UpBlock3d(in_filters, out_filters, kernel_size=3, padding=1))
+
+        self.up_blocks = nn.ModuleList(up_blocks)
+        self.out_filters = block_expansion + in_features
+
+        self.conv = nn.Conv3d(in_channels=self.out_filters, out_channels=self.out_filters, kernel_size=3, padding=1)
+        self.norm = nn.BatchNorm3d(self.out_filters, affine=True)
+
+    def forward(self, x):
+        out = x.pop()
+        for up_block in self.up_blocks:
+            out = up_block(out)
+            skip = x.pop()
+            out = torch.cat([out, skip], dim=1)
+        out = self.conv(out)
+        out = self.norm(out)
+        out = F.relu(out)
+        return out
+
+
+class Hourglass(nn.Module):
+    """
+    Hourglass architecture.
+    """
+
+    def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256):
+        super(Hourglass, self).__init__()
+        self.encoder = Encoder(block_expansion, in_features, num_blocks, max_features)
+        self.decoder = Decoder(block_expansion, in_features, num_blocks, max_features)
+        self.out_filters = self.decoder.out_filters
+
+    def forward(self, x):
+        return self.decoder(self.encoder(x))
+
+
+class SPADE(nn.Module):
+    def __init__(self, norm_nc, label_nc):
+        super().__init__()
+
+        self.param_free_norm = nn.InstanceNorm2d(norm_nc, affine=False)
+        nhidden = 128
+
+        self.mlp_shared = nn.Sequential(
+            nn.Conv2d(label_nc, nhidden, kernel_size=3, padding=1),
+            nn.ReLU())
+        self.mlp_gamma = nn.Conv2d(nhidden, norm_nc, kernel_size=3, padding=1)
+        self.mlp_beta = nn.Conv2d(nhidden, norm_nc, kernel_size=3, padding=1)
+
+    def forward(self, x, segmap):
+        normalized = self.param_free_norm(x)
+        segmap = F.interpolate(segmap, size=x.size()[2:], mode='nearest')
+        actv = self.mlp_shared(segmap)
+        gamma = self.mlp_gamma(actv)
+        beta = self.mlp_beta(actv)
+        out = normalized * (1 + gamma) + beta
+        return out
+
+
+class SPADEResnetBlock(nn.Module):
+    def __init__(self, fin, fout, norm_G, label_nc, use_se=False, dilation=1):
+        super().__init__()
+        # Attributes
+        self.learned_shortcut = (fin != fout)
+        fmiddle = min(fin, fout)
+        self.use_se = use_se
+        # create conv layers
+        self.conv_0 = nn.Conv2d(fin, fmiddle, kernel_size=3, padding=dilation, dilation=dilation)
+        self.conv_1 = nn.Conv2d(fmiddle, fout, kernel_size=3, padding=dilation, dilation=dilation)
+        if self.learned_shortcut:
+            self.conv_s = nn.Conv2d(fin, fout, kernel_size=1, bias=False)
+        # apply spectral norm if specified
+        if 'spectral' in norm_G:
+            self.conv_0 = spectral_norm(self.conv_0)
+            self.conv_1 = spectral_norm(self.conv_1)
+            if self.learned_shortcut:
+                self.conv_s = spectral_norm(self.conv_s)
+        # define normalization layers
+        self.norm_0 = SPADE(fin, label_nc)
+        self.norm_1 = SPADE(fmiddle, label_nc)
+        if self.learned_shortcut:
+            self.norm_s = SPADE(fin, label_nc)
+
+    def forward(self, x, seg1):
+        x_s = self.shortcut(x, seg1)
+        dx = self.conv_0(self.actvn(self.norm_0(x, seg1)))
+        dx = self.conv_1(self.actvn(self.norm_1(dx, seg1)))
+        out = x_s + dx
+        return out
+
+    def shortcut(self, x, seg1):
+        if self.learned_shortcut:
+            x_s = self.conv_s(self.norm_s(x, seg1))
+        else:
+            x_s = x
+        return x_s
+
+    def actvn(self, x):
+        return F.leaky_relu(x, 2e-1)
+
+
+def filter_state_dict(state_dict, remove_name='fc'):
+    new_state_dict = {}
+    for key in state_dict:
+        if remove_name in key:
+            continue
+        new_state_dict[key] = state_dict[key]
+    return new_state_dict
+
+
+class GRN(nn.Module):
+    """ GRN (Global Response Normalization) layer
+    """
+
+    def __init__(self, dim):
+        super().__init__()
+        self.gamma = nn.Parameter(torch.zeros(1, 1, 1, dim))
+        self.beta = nn.Parameter(torch.zeros(1, 1, 1, dim))
+
+    def forward(self, x):
+        Gx = torch.norm(x, p=2, dim=(1, 2), keepdim=True)
+        Nx = Gx / (Gx.mean(dim=-1, keepdim=True) + 1e-6)
+        return self.gamma * (x * Nx) + self.beta + x
+
+
+class LayerNorm(nn.Module):
+    r""" LayerNorm that supports two data formats: channels_last (default) or channels_first.
+    The ordering of the dimensions in the inputs. channels_last corresponds to inputs with
+    shape (batch_size, height, width, channels) while channels_first corresponds to inputs
+    with shape (batch_size, channels, height, width).
+    """
+
+    def __init__(self, normalized_shape, eps=1e-6, data_format="channels_last"):
+        super().__init__()
+        self.weight = nn.Parameter(torch.ones(normalized_shape))
+        self.bias = nn.Parameter(torch.zeros(normalized_shape))
+        self.eps = eps
+        self.data_format = data_format
+        if self.data_format not in ["channels_last", "channels_first"]:
+            raise NotImplementedError
+        self.normalized_shape = (normalized_shape, )
+
+    def forward(self, x):
+        if self.data_format == "channels_last":
+            return F.layer_norm(x, self.normalized_shape, self.weight, self.bias, self.eps)
+        elif self.data_format == "channels_first":
+            u = x.mean(1, keepdim=True)
+            s = (x - u).pow(2).mean(1, keepdim=True)
+            x = (x - u) / torch.sqrt(s + self.eps)
+            x = self.weight[:, None, None] * x + self.bias[:, None, None]
+            return x
+
+
+def _no_grad_trunc_normal_(tensor, mean, std, a, b):
+    # Cut & paste from PyTorch official master until it's in a few official releases - RW
+    # Method based on https://people.sc.fsu.edu/~jburkardt/presentations/truncated_normal.pdf
+    def norm_cdf(x):
+        # Computes standard normal cumulative distribution function
+        return (1. + math.erf(x / math.sqrt(2.))) / 2.
+
+    if (mean < a - 2 * std) or (mean > b + 2 * std):
+        warnings.warn("mean is more than 2 std from [a, b] in nn.init.trunc_normal_. "
+                      "The distribution of values may be incorrect.",
+                      stacklevel=2)
+
+    with torch.no_grad():
+        # Values are generated by using a truncated uniform distribution and
+        # then using the inverse CDF for the normal distribution.
+        # Get upper and lower cdf values
+        l = norm_cdf((a - mean) / std)
+        u = norm_cdf((b - mean) / std)
+
+        # Uniformly fill tensor with values from [l, u], then translate to
+        # [2l-1, 2u-1].
+        tensor.uniform_(2 * l - 1, 2 * u - 1)
+
+        # Use inverse cdf transform for normal distribution to get truncated
+        # standard normal
+        tensor.erfinv_()
+
+        # Transform to proper mean, std
+        tensor.mul_(std * math.sqrt(2.))
+        tensor.add_(mean)
+
+        # Clamp to ensure it's in the proper range
+        tensor.clamp_(min=a, max=b)
+        return tensor
+
+
+def drop_path(x, drop_prob=0., training=False, scale_by_keep=True):
+    """ Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
+
+    This is the same as the DropConnect impl I created for EfficientNet, etc networks, however,
+    the original name is misleading as 'Drop Connect' is a different form of dropout in a separate paper...
+    See discussion: https://github.com/tensorflow/tpu/issues/494#issuecomment-532968956 ... I've opted for
+    changing the layer and argument names to 'drop path' rather than mix DropConnect as a layer name and use
+    'survival rate' as the argument.
+
+    """
+    if drop_prob == 0. or not training:
+        return x
+    keep_prob = 1 - drop_prob
+    shape = (x.shape[0],) + (1,) * (x.ndim - 1)  # work with diff dim tensors, not just 2D ConvNets
+    random_tensor = x.new_empty(shape).bernoulli_(keep_prob)
+    if keep_prob > 0.0 and scale_by_keep:
+        random_tensor.div_(keep_prob)
+    return x * random_tensor
+
+
+class DropPath(nn.Module):
+    """ Drop paths (Stochastic Depth) per sample  (when applied in main path of residual blocks).
+    """
+
+    def __init__(self, drop_prob=None, scale_by_keep=True):
+        super(DropPath, self).__init__()
+        self.drop_prob = drop_prob
+        self.scale_by_keep = scale_by_keep
+
+    def forward(self, x):
+        return drop_path(x, self.drop_prob, self.training, self.scale_by_keep)
+
+
+def trunc_normal_(tensor, mean=0., std=1., a=-2., b=2.):
+    return _no_grad_trunc_normal_(tensor, mean, std, a, b)
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/warping_network.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/warping_network.py
new file mode 100644
index 0000000000000000000000000000000000000000..4b3419a1add589ee96769f3cf0b1836aad869f77
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/modules/warping_network.py
@@ -0,0 +1,81 @@
+# coding: utf-8
+
+"""
+Warping field estimator(W) defined in the paper, which generates a warping field using the implicit
+keypoint representations x_s and x_d, and employs this flow field to warp the source feature volume f_s.
+"""
+
+from torch import nn
+import torch.nn.functional as F
+from .util import SameBlock2d
+from .dense_motion import DenseMotionNetwork
+
+
+class WarpingNetwork(nn.Module):
+    def __init__(
+        self,
+        num_kp,
+        block_expansion,
+        max_features,
+        num_down_blocks,
+        reshape_channel,
+        estimate_occlusion_map=False,
+        dense_motion_params=None,
+        **kwargs
+    ):
+        super(WarpingNetwork, self).__init__()
+
+        self.upscale = kwargs.get('upscale', 1)
+        self.flag_use_occlusion_map = kwargs.get('flag_use_occlusion_map', True)
+
+        if dense_motion_params is not None:
+            self.dense_motion_network = DenseMotionNetwork(
+                num_kp=num_kp,
+                feature_channel=reshape_channel,
+                estimate_occlusion_map=estimate_occlusion_map,
+                **dense_motion_params
+            )
+        else:
+            self.dense_motion_network = None
+
+        self.third = SameBlock2d(max_features, block_expansion * (2 ** num_down_blocks), kernel_size=(3, 3), padding=(1, 1), lrelu=True)
+        self.fourth = nn.Conv2d(in_channels=block_expansion * (2 ** num_down_blocks), out_channels=block_expansion * (2 ** num_down_blocks), kernel_size=1, stride=1)
+
+        self.estimate_occlusion_map = estimate_occlusion_map
+
+    def deform_input(self, inp, deformation):
+        try:
+            return F.grid_sample(inp, deformation, align_corners=False)
+        except NotImplementedError:
+            out_device = inp.device # Store input device
+            return F.grid_sample(inp.to('cpu'), deformation.to('cpu'), align_corners=False).to(out_device)
+
+    def forward(self, feature_3d, kp_driving, kp_source):
+        if self.dense_motion_network is not None:
+            # Feature warper, Transforming feature representation according to deformation and occlusion
+            dense_motion = self.dense_motion_network(
+                feature=feature_3d, kp_driving=kp_driving, kp_source=kp_source
+            )
+            if 'occlusion_map' in dense_motion:
+                occlusion_map = dense_motion['occlusion_map']  # Bx1x64x64
+            else:
+                occlusion_map = None
+
+            deformation = dense_motion['deformation']  # Bx16x64x64x3
+            out = self.deform_input(feature_3d, deformation)  # Bx32x16x64x64
+
+            bs, c, d, h, w = out.shape  # Bx32x16x64x64
+            out = out.view(bs, c * d, h, w)  # -> Bx512x64x64
+            out = self.third(out)  # -> Bx256x64x64
+            out = self.fourth(out)  # -> Bx256x64x64
+
+            if self.flag_use_occlusion_map and (occlusion_map is not None):
+                out = out * occlusion_map
+
+        ret_dct = {
+            'occlusion_map': occlusion_map,
+            'deformation': deformation,
+            'out': out,
+        }
+
+        return ret_dct
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diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/camera.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/camera.py
new file mode 100644
index 0000000000000000000000000000000000000000..8bbfc90ac87e99caf09bee69982761fdde753527
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/camera.py
@@ -0,0 +1,75 @@
+# coding: utf-8
+
+"""
+functions for processing and transforming 3D facial keypoints
+"""
+
+import numpy as np
+import torch
+import torch.nn.functional as F
+
+PI = np.pi
+
+
+def headpose_pred_to_degree(pred):
+    """
+    pred: (bs, 66) or (bs, 1) or others
+    """
+    if pred.ndim > 1 and pred.shape[1] == 66:
+        # NOTE: note that the average is modified to 97.5
+        device = pred.device
+        idx_tensor = [idx for idx in range(0, 66)]
+        idx_tensor = torch.FloatTensor(idx_tensor).to(device)
+        pred = F.softmax(pred, dim=1)
+        degree = torch.sum(pred*idx_tensor, axis=1) * 3 - 97.5
+
+        return degree
+
+    return pred
+
+
+def get_rotation_matrix(pitch_, yaw_, roll_):
+    """ the input is in degree
+    """
+    # calculate the rotation matrix: vps @ rot
+
+    # transform to radian
+    pitch = pitch_ / 180 * PI
+    yaw = yaw_ / 180 * PI
+    roll = roll_ / 180 * PI
+
+    device = pitch.device
+
+    if pitch.ndim == 1:
+        pitch = pitch.unsqueeze(1)
+    if yaw.ndim == 1:
+        yaw = yaw.unsqueeze(1)
+    if roll.ndim == 1:
+        roll = roll.unsqueeze(1)
+
+    # calculate the euler matrix
+    bs = pitch.shape[0]
+    ones = torch.ones([bs, 1]).to(device)
+    zeros = torch.zeros([bs, 1]).to(device)
+    x, y, z = pitch, yaw, roll
+
+    rot_x = torch.cat([
+        ones, zeros, zeros,
+        zeros, torch.cos(x), -torch.sin(x),
+        zeros, torch.sin(x), torch.cos(x)
+    ], dim=1).reshape([bs, 3, 3])
+
+    rot_y = torch.cat([
+        torch.cos(y), zeros, torch.sin(y),
+        zeros, ones, zeros,
+        -torch.sin(y), zeros, torch.cos(y)
+    ], dim=1).reshape([bs, 3, 3])
+
+    rot_z = torch.cat([
+        torch.cos(z), -torch.sin(z), zeros,
+        torch.sin(z), torch.cos(z), zeros,
+        zeros, zeros, ones
+    ], dim=1).reshape([bs, 3, 3])
+
+    rot = rot_z @ rot_y @ rot_x
+    return rot.permute(0, 2, 1)  # transpose
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/crop.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/crop.py
new file mode 100644
index 0000000000000000000000000000000000000000..f914d6661220f67f5cb567b546e9ef31bf52b3f4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/crop.py
@@ -0,0 +1,474 @@
+# coding: utf-8
+
+"""
+cropping function and the related preprocess functions for cropping
+"""
+
+import cv2#; cv2.setNumThreads(0); cv2.ocl.setUseOpenCL(False) # NOTE: enforce single thread
+import numpy as np
+from math import sin, cos, acos, degrees
+DTYPE = np.float32
+CV2_INTERP = cv2.INTER_LINEAR
+import comfy.model_management as mm
+
+def _transform_img(img, M, dsize, flags=CV2_INTERP, borderMode=None):
+    """ conduct similarity or affine transformation to the image, do not do border operation!
+    img:
+    M: 2x3 matrix or 3x3 matrix
+    dsize: target shape (width, height)
+    """
+    if isinstance(dsize, tuple) or isinstance(dsize, list):
+        _dsize = tuple(dsize)
+    else:
+        _dsize = (dsize, dsize)
+
+    if borderMode is not None:
+        return cv2.warpAffine(img, M[:2, :], dsize=_dsize, flags=flags, borderMode=borderMode, borderValue=(0, 0, 0))
+    else:
+        return cv2.warpAffine(img, M[:2, :], dsize=_dsize, flags=flags)
+
+import torch
+import kornia.geometry.transform as KGT
+
+def _transform_img_kornia(img, M, dsize, device, flags='bilinear', borderMode='zeros'):
+    """Conduct similarity or affine transformation to the image using Kornia.
+    
+    img: Input image as a PyTorch tensor of shape (C, H, W).
+    M: 2x3 transformation matrix as a PyTorch tensor.
+    dsize: Target shape (width, height).
+    """
+   
+    # Convert dsize to tensor shape (H, W)
+    _dsize = torch.tensor([dsize[1], dsize[0]])  # Kornia expects (H, W)
+
+    # Convert M from numpy.ndarray to PyTorch tensor
+    M = torch.from_numpy(M).float().to(device)
+    
+    if M.shape == (3, 3):
+        M = M[:2, :]
+    if M.shape == (2, 3):
+        M = M.unsqueeze(0)
+
+    # Convert image to floating point tensor if not already
+    if img.dtype != torch.float32:
+        img = img.float()
+    img = img.permute(0, 3, 1, 2).to(device) # Reshape img for Kornia (B, C, H, W)
+   
+    # Apply the affine transformation
+    img_warped = KGT.warp_affine(img, M, _dsize, mode=flags, padding_mode=borderMode)
+
+    return img_warped
+
+def _transform_pts(pts, M):
+    """ conduct similarity or affine transformation to the pts
+    pts: Nx2 ndarray
+    M: 2x3 matrix or 3x3 matrix
+    return: Nx2
+    """
+    return pts @ M[:2, :2].T + M[:2, 2]
+
+
+def parse_pt2_from_pt478(pt478, use_lip=True):
+    """
+    parsing the 2 points according to the 101 points, which cancels the roll
+    """
+    # the former version use the eye center, but it is not robust, now use interpolation
+    pt_left_eye = pt478[468]  # left eye center
+    pt_right_eye = pt478[473]  # right eye center
+
+    if use_lip:
+        # use lip
+        pt_center_eye = (pt_left_eye + pt_right_eye) / 2
+        pt_center_lip = pt478[14]
+        pt2 = np.stack([pt_center_eye, pt_center_lip], axis=0)
+    else:
+        pt2 = np.stack([pt_left_eye, pt_right_eye], axis=0)
+    return pt2
+
+def parse_pt2_from_pt101(pt101, use_lip=True):
+    """
+    parsing the 2 points according to the 101 points, which cancels the roll
+    """
+    # the former version use the eye center, but it is not robust, now use interpolation
+    pt_left_eye = np.mean(pt101[[39, 42, 45, 48]], axis=0)  # left eye center
+    pt_right_eye = np.mean(pt101[[51, 54, 57, 60]], axis=0)  # right eye center
+
+    if use_lip:
+        # use lip
+        pt_center_eye = (pt_left_eye + pt_right_eye) / 2
+        pt_center_lip = (pt101[75] + pt101[81]) / 2
+        pt2 = np.stack([pt_center_eye, pt_center_lip], axis=0)
+    else:
+        pt2 = np.stack([pt_left_eye, pt_right_eye], axis=0)
+    return pt2
+
+
+def parse_pt2_from_pt106(pt106, use_lip=True):
+    """
+    parsing the 2 points according to the 106 points, which cancels the roll
+    """
+    pt_left_eye = np.mean(pt106[[33, 35, 40, 39]], axis=0)  # left eye center
+    pt_right_eye = np.mean(pt106[[87, 89, 94, 93]], axis=0)  # right eye center
+
+    if use_lip:
+        # use lip
+        pt_center_eye = (pt_left_eye + pt_right_eye) / 2
+        pt_center_lip = (pt106[52] + pt106[61]) / 2
+        pt2 = np.stack([pt_center_eye, pt_center_lip], axis=0)
+    else:
+        pt2 = np.stack([pt_left_eye, pt_right_eye], axis=0)
+    return pt2
+
+
+def parse_pt2_from_pt203(pt203, use_lip=True):
+    """
+    parsing the 2 points according to the 203 points, which cancels the roll
+    """
+    pt_left_eye = np.mean(pt203[[0, 6, 12, 18]], axis=0)  # left eye center
+    pt_right_eye = np.mean(pt203[[24, 30, 36, 42]], axis=0)  # right eye center
+    if use_lip:
+        # use lip
+        pt_center_eye = (pt_left_eye + pt_right_eye) / 2
+        pt_center_lip = (pt203[48] + pt203[66]) / 2
+        pt2 = np.stack([pt_center_eye, pt_center_lip], axis=0)
+    else:
+        pt2 = np.stack([pt_left_eye, pt_right_eye], axis=0)
+    return pt2
+
+def parse_pt2_from_pt9(pt9, use_lip=True):
+    '''
+    animal_face = {"keypoints": ['right eye right', 'right eye left', 'left eye right', 'left eye left', 'nose tip', 'lip right', 'lip left', 'upper lip', 'lower lip'], "skeleton": []}
+
+
+    '''
+    if use_lip:
+        pt9 = np.stack([
+            (pt9[2]+pt9[3])/2, # left eye
+            (pt9[0]+pt9[1])/2, # right eye
+            pt9[4],
+            # (pt9[5]+pt9[6]+pt9[7]+pt9[8])/4 # lip
+            (pt9[5] + pt9[6] ) / 2 # lip
+        ], axis=0)
+        pt2 = np.stack([
+            (pt9[0] + pt9[1]) / 2, # eye
+            pt9[3] # lip
+        ], axis=0)
+    else:
+        pt2 = np.stack([
+            (pt9[2] + pt9[3]) / 2,
+            (pt9[0] + pt9[1]) / 2,
+        ], axis=0)
+
+    return pt2
+
+def parse_pt2_from_pt68(pt68, use_lip=True):
+    '''
+face = {"keypoints": ['right cheekbone 1', 'right cheekbone 2', 'right cheek 1', 'right cheek 2', 'right cheek 3', 'right cheek 4', 'right cheek 5', 'right chin', 'chin center', 
+'left chin', 'left cheek 5', 'left cheek 4', 'left cheek 3', 'left cheek 2', 'left cheek 1', 'left cheekbone 2', 'left cheekbone 1', 'right eyebrow 1', 'right eyebrow 2', 'right eyebrow 3', 
+'right eyebrow 4', 'right eyebrow 5', 'left eyebrow 1', 'left eyebrow 2', 'left eyebrow 3', 'left eyebrow 4', 'left eyebrow 5', 'nasal bridge 1', 'nasal bridge 2', 'nasal bridge 3', 'nasal bridge 4', 
+'right nasal wing 1', 'right nasal wing 2', 'nasal wing center', 'left nasal wing 1', 'left nasal wing 2', 'right eye eye corner 1', 'right eye upper eyelid 1', 'right eye upper eyelid 2', 
+'right eye eye corner 2', 'right eye lower eyelid 2', 'right eye lower eyelid 1', 'left eye eye corner 1', 'left eye upper eyelid 1', 'left eye upper eyelid 2', 'left eye eye corner 2', 'left eye lower eyelid 2', 
+'left eye lower eyelid 1', 'right mouth corner', 'upper lip outer edge 1', 'upper lip outer edge 2', 'upper lip outer edge 3', 'upper lip outer edge 4', 'upper lip outer edge 5', 'left mouth corner', 
+'lower lip outer edge 5', 'lower lip outer edge 4', 'lower lip outer edge 3', 'lower lip outer edge 2', 'lower lip outer edge 1', 'upper lip inter edge 1', 'upper lip inter edge 2', 'upper lip inter edge 3', 
+'upper lip inter edge 4', 'upper lip inter edge 5', 'lower lip inter edge 3', 'lower lip inter edge 2', 'lower lip inter edge 1'], "skeleton": []}
+
+
+    '''
+    if use_lip:
+        pt68 = np.stack([
+            (pt68[42] + pt68[43] + pt68[44] + pt68[45] + pt68[46]+ pt68[47])/6, # left eye
+            (pt68[36] + pt68[37] + pt68[38] + pt68[39] + pt68[40] + pt68[41]) / 6,  # right eye
+            (pt68[48] + pt68[54])/2
+
+        ], axis=0)
+        pt2 = np.stack([
+            (pt68[0] + pt68[1]) / 2,
+            pt68[2]
+        ], axis=0)
+    else:
+        pt2 = np.stack([
+            (pt68[42] + pt68[43] + pt68[44] + pt68[45] + pt68[46] + pt68[47]) / 6,  # left eye
+            (pt68[36] + pt68[37] + pt68[38] + pt68[39] + pt68[40] + pt68[41]) / 6,  # right eye
+        ], axis=0)
+
+    return pt2
+
+
+def parse_pt2_from_pt5(pt5, use_lip=True):
+    """
+    parsing the 2 points according to the 5 points, which cancels the roll
+    """
+    if use_lip:
+        pt2 = np.stack([
+            (pt5[0] + pt5[1]) / 2,
+            (pt5[3] + pt5[4]) / 2
+        ], axis=0)
+    else:
+        pt2 = np.stack([
+            pt5[0],
+            pt5[1]
+        ], axis=0)
+    return pt2
+
+
+def parse_pt2_from_pt_x(pts, use_lip=True):
+    if pts.shape[0] == 101:
+        pt2 = parse_pt2_from_pt101(pts, use_lip=use_lip)
+    elif pts.shape[0] == 106:
+        pt2 = parse_pt2_from_pt106(pts, use_lip=use_lip)
+    elif pts.shape[0] == 68:
+        pt2 = parse_pt2_from_pt68(pts, use_lip=use_lip)
+    elif pts.shape[0] == 5:
+        pt2 = parse_pt2_from_pt5(pts, use_lip=use_lip)
+    elif pts.shape[0] == 203:
+        pt2 = parse_pt2_from_pt203(pts, use_lip=use_lip)
+    elif pts.shape[0] == 478:
+        pt2 = parse_pt2_from_pt478(pts, use_lip=use_lip)
+    elif pts.shape[0] > 101:
+        # take the first 101 points
+        pt2 = parse_pt2_from_pt101(pts[:101], use_lip=use_lip)
+    elif pts.shape[0] == 9:
+        pt2 = parse_pt2_from_pt9(pts, use_lip=use_lip)
+    else:
+        raise Exception(f'Unknow shape: {pts.shape}')
+
+    if not use_lip:
+        # NOTE: to compile with the latter code, need to rotate the pt2 90 degrees clockwise manually
+        v = pt2[1] - pt2[0]
+        pt2[1, 0] = pt2[0, 0] - v[1]
+        pt2[1, 1] = pt2[0, 1] + v[0]
+
+    return pt2
+
+
+def parse_rect_from_landmark(
+    pts,
+    scale=1.5,
+    need_square=True,
+    vx_ratio=0,
+    vy_ratio=0,
+    use_deg_flag=False,
+    **kwargs
+):
+    """parsing center, size, angle from 101/68/5/x landmarks
+    vx_ratio: the offset ratio along the pupil axis x-axis, multiplied by size
+    vy_ratio: the offset ratio along the pupil axis y-axis, multiplied by size, which is used to contain more forehead area
+
+    judge with pts.shape
+    """
+    pt2 = parse_pt2_from_pt_x(pts, use_lip=kwargs.get('use_lip', True))
+
+    uy = pt2[1] - pt2[0]
+    l = np.linalg.norm(uy)
+    if l <= 1e-3:
+        uy = np.array([0, 1], dtype=DTYPE)
+    else:
+        uy /= l
+    ux = np.array((uy[1], -uy[0]), dtype=DTYPE)
+
+    # the rotation degree of the x-axis, the clockwise is positive, the counterclockwise is negative (image coordinate system)
+    # print(uy)
+    # print(ux)
+    angle = acos(ux[0])
+    if ux[1] < 0:
+        angle = -angle
+
+    # rotation matrix
+    M = np.array([ux, uy])
+
+    # calculate the size which contains the angle degree of the bbox, and the center
+    center0 = np.mean(pts, axis=0)
+    rpts = (pts - center0) @ M.T  # (M @ P.T).T = P @ M.T
+    lt_pt = np.min(rpts, axis=0)
+    rb_pt = np.max(rpts, axis=0)
+    center1 = (lt_pt + rb_pt) / 2
+
+    size = rb_pt - lt_pt
+    if need_square:
+        m = max(size[0], size[1])
+        size[0] = m
+        size[1] = m
+
+    size *= scale  # scale size
+    center = center0 + ux * center1[0] + uy * center1[1]  # counterclockwise rotation, equivalent to M.T @ center1.T
+    center = center + ux * (vx_ratio * size) + uy * \
+        (vy_ratio * size)  # considering the offset in vx and vy direction
+
+    if use_deg_flag:
+        angle = degrees(angle)
+
+    return center, size, angle
+
+
+def parse_bbox_from_landmark(pts, **kwargs):
+    center, size, angle = parse_rect_from_landmark(pts, **kwargs)
+    cx, cy = center
+    w, h = size
+
+    # calculate the vertex positions before rotation
+    bbox = np.array([
+        [cx-w/2, cy-h/2],  # left, top
+        [cx+w/2, cy-h/2],
+        [cx+w/2, cy+h/2],  # right, bottom
+        [cx-w/2, cy+h/2]
+    ], dtype=DTYPE)
+
+    # construct rotation matrix
+    bbox_rot = bbox.copy()
+    R = np.array([
+        [np.cos(angle), -np.sin(angle)],
+        [np.sin(angle),  np.cos(angle)]
+    ], dtype=DTYPE)
+
+    # calculate the relative position of each vertex from the rotation center, then rotate these positions, and finally add the coordinates of the rotation center
+    bbox_rot = (bbox_rot - center) @ R.T + center
+
+    return {
+        'center': center,  # 2x1
+        'size': size,  # scalar
+        'angle': angle,  # rad, counterclockwise
+        'bbox': bbox,  # 4x2
+        'bbox_rot': bbox_rot,  # 4x2
+    }
+
+
+def crop_image_by_bbox(img, bbox, lmk=None, dsize=512, angle=None, flag_rot=False, **kwargs):
+    left, top, right, bot = bbox
+    if int(right - left) != int(bot - top):
+        print(f'right-left {right-left} != bot-top {bot-top}')
+    size = right - left
+
+    src_center = np.array([(left + right) / 2, (top + bot) / 2], dtype=DTYPE)
+    tgt_center = np.array([dsize / 2, dsize / 2], dtype=DTYPE)
+
+    s = dsize / size  # scale
+    if flag_rot and angle is not None:
+        costheta, sintheta = cos(angle), sin(angle)
+        cx, cy = src_center[0], src_center[1]  # ori center
+        tcx, tcy = tgt_center[0], tgt_center[1]  # target center
+        # need to infer
+        M_o2c = np.array(
+            [[s * costheta, s * sintheta, tcx - s * (costheta * cx + sintheta * cy)],
+             [-s * sintheta, s * costheta, tcy - s * (-sintheta * cx + costheta * cy)]],
+            dtype=DTYPE
+        )
+    else:
+        M_o2c = np.array(
+            [[s, 0, tgt_center[0] - s * src_center[0]],
+             [0, s, tgt_center[1] - s * src_center[1]]],
+            dtype=DTYPE
+        )
+
+    if flag_rot and angle is None:
+        print('angle is None, but flag_rotate is True', style="bold yellow")
+
+    img_crop = _transform_img(img, M_o2c, dsize=dsize, borderMode=kwargs.get('borderMode', None))
+
+    lmk_crop = _transform_pts(lmk, M_o2c) if lmk is not None else None
+
+    M_o2c = np.vstack([M_o2c, np.array([0, 0, 1], dtype=DTYPE)])
+    M_c2o = np.linalg.inv(M_o2c)
+
+    # cv2.imwrite('crop.jpg', img_crop)
+
+    return {
+        'img_crop': img_crop,
+        'lmk_crop': lmk_crop,
+        'M_o2c': M_o2c,
+        'M_c2o': M_c2o,
+    }
+
+
+def _estimate_similar_transform_from_pts(
+    pts,
+    dsize,
+    scale=1.5,
+    vx_ratio=0,
+    vy_ratio=-0.1,
+    flag_do_rot=True,
+    **kwargs
+):
+    """ calculate the affine matrix of the cropped image from sparse points, the original image to the cropped image, the inverse is the cropped image to the original image
+    pts: landmark, 101 or 68 points or other points, Nx2
+    scale: the larger scale factor, the smaller face ratio
+    vx_ratio: x shift
+    vy_ratio: y shift, the smaller the y shift, the lower the face region
+    rot_flag: if it is true, conduct correction
+    """
+    center, size, angle = parse_rect_from_landmark(
+        pts, scale=scale, vx_ratio=vx_ratio, vy_ratio=vy_ratio,
+        use_lip=kwargs.get('use_lip', True)
+    )
+
+    s = dsize / size[0]  # scale
+    tgt_center = np.array([dsize / 2, dsize / 2], dtype=DTYPE)  # center of dsize
+
+    if flag_do_rot:
+        costheta, sintheta = cos(angle), sin(angle)
+        cx, cy = center[0], center[1]  # ori center
+        tcx, tcy = tgt_center[0], tgt_center[1]  # target center
+        # need to infer
+        M_INV = np.array(
+            [[s * costheta, s * sintheta, tcx - s * (costheta * cx + sintheta * cy)],
+             [-s * sintheta, s * costheta, tcy - s * (-sintheta * cx + costheta * cy)]],
+            dtype=DTYPE
+        )
+    else:
+        M_INV = np.array(
+            [[s, 0, tgt_center[0] - s * center[0]],
+             [0, s, tgt_center[1] - s * center[1]]],
+            dtype=DTYPE
+        )
+
+    M_INV_H = np.vstack([M_INV, np.array([0, 0, 1])])
+    M = np.linalg.inv(M_INV_H)
+
+    # M_INV is from the original image to the cropped image, M is from the cropped image to the original image
+    return M_INV, M[:2, ...]
+
+
+def crop_image(img, pts: np.ndarray, **kwargs):
+    dsize = kwargs.get('dsize', 224)
+    scale = kwargs.get('scale', 1.5)  # 1.5 | 1.6
+    vy_ratio = kwargs.get('vy_ratio', -0.1)  # -0.0625 | -0.1
+    vx_ratio = kwargs.get('vx_ratio', 0)
+
+    M_INV, _ = _estimate_similar_transform_from_pts(
+        pts,
+        dsize=dsize,
+        scale=scale,
+        vy_ratio=vy_ratio,
+        vx_ratio=vx_ratio,
+        flag_do_rot=kwargs.get('rotate', True),
+    )
+
+    if img is None:
+        M_INV_H = np.vstack([M_INV, np.array([0, 0, 1], dtype=DTYPE)])
+        M = np.linalg.inv(M_INV_H)
+        ret_dct = {
+            'M': M[:2, ...],  # from the original image to the cropped image
+            'M_o2c': M[:2, ...],  # from the cropped image to the original image
+            'img_crop': None,
+            'pt_crop': None,
+        }
+        return ret_dct
+
+    img_crop = _transform_img(img, M_INV, dsize)  # origin to crop
+    pt_crop = _transform_pts(pts, M_INV)
+
+    M_o2c = np.vstack([M_INV, np.array([0, 0, 1], dtype=DTYPE)])
+    M_c2o = np.linalg.inv(M_o2c)
+
+    ret_dct = {
+        'M_o2c': M_o2c,  # from the original image to the cropped image 3x3
+        'M_c2o': M_c2o,  # from the cropped image to the original image 3x3
+        'pt_crop': pt_crop,  # the landmarks of the cropped image
+    }
+
+    return ret_dct, img_crop
+
+def average_bbox_lst(bbox_lst):
+    if len(bbox_lst) == 0:
+        return None
+    bbox_arr = np.array(bbox_lst)
+    return np.mean(bbox_arr, axis=0).tolist()
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/cropper.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/cropper.py
new file mode 100644
index 0000000000000000000000000000000000000000..6d651fa765a753dcf9257b5b5fca0e9f96c82856
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/cropper.py
@@ -0,0 +1,216 @@
+# coding: utf-8
+
+import numpy as np
+from typing import List, Union, Tuple
+from dataclasses import dataclass, field
+import cv2#; cv2.setNumThreads(0); cv2.ocl.setUseOpenCL(False)
+
+from .landmark_runner import LandmarkRunner, LandmarkRunnerTorch
+
+from .crop import crop_image
+
+import folder_paths
+import os
+script_directory = os.path.dirname(os.path.abspath(__file__))
+
+@dataclass
+class Trajectory:
+    start: int = -1
+    end: int = -1
+    lmk_lst: Union[Tuple, List, np.ndarray] = field(default_factory=list)  # lmk list
+    bbox_lst: Union[Tuple, List, np.ndarray] = field(default_factory=list)  # bbox list
+    frame_rgb_lst: Union[Tuple, List, np.ndarray] = field(default_factory=list)  # frame list
+    frame_rgb_crop_lst: Union[Tuple, List, np.ndarray] = field(default_factory=list)  # frame crop list
+
+class CropperInsightFace(object):
+    def __init__(self, **kwargs) -> None:
+        device_id = kwargs.get('device_id', 0)
+        provider = kwargs.get('onnx_device', 'CPU')
+        detection_threshold = kwargs.get('detection_threshold', 0.5)
+        self.landmark_runner = LandmarkRunner(
+            ckpt_path=os.path.join(folder_paths.models_dir, 'liveportrait', 'landmark.onnx'),
+            onnx_provider=provider,
+            device_id=device_id
+        )
+        self.landmark_runner.warmup()
+
+        from .face_analysis_diy import FaceAnalysisDIY
+        self.face_analysis_wrapper = FaceAnalysisDIY(
+            name='buffalo_l',
+            root=os.path.join(folder_paths.models_dir, 'insightface'),
+            providers=[provider + 'ExecutionProvider',]
+        )
+        self.face_analysis_wrapper.prepare(ctx_id=device_id, det_size=(512, 512), det_thresh=detection_threshold)
+        self.face_analysis_wrapper.warmup()
+
+    def crop_single_image(self, img_rgb, dsize, scale, vy_ratio, vx_ratio, face_index, face_index_order, rotate):
+        direction = face_index_order
+
+        src_face = self.face_analysis_wrapper.get(
+            img_rgb,
+            flag_do_landmark_2d_106=True,
+            direction=direction
+        )
+
+        if len(src_face) == 0:
+            ret_dct = {}
+            cropped_image_256 = None
+            return ret_dct, cropped_image_256
+
+        src_face = src_face[face_index] # choose the index if multiple faces detected
+        pts = src_face.landmark_2d_106
+       
+        # crop the face
+        ret_dct, image_crop = crop_image(
+            img_rgb,  # ndarray
+            pts,  # 106x2 or Nx2
+            dsize=dsize,
+            scale=scale,
+            vy_ratio=vy_ratio,
+            vx_ratio=vx_ratio,
+            rotate=rotate
+        )
+        # update a 256x256 version for network input or else
+        cropped_image_256 = cv2.resize(image_crop, (256, 256), interpolation=cv2.INTER_AREA)
+        del image_crop
+        ret_dct['pt_crop_256x256'] = ret_dct['pt_crop'] * 256 / dsize
+
+        input_image_size = img_rgb.shape[:2]
+        ret_dct['input_image_size'] = input_image_size
+    
+        recon_ret = self.landmark_runner.run(img_rgb, pts)
+        lmk = recon_ret['pts']
+        ret_dct['lmk_crop'] = lmk
+
+        return ret_dct, cropped_image_256
+    
+class CropperMediaPipe(object):
+    def __init__(self, **kwargs) -> None:
+        device_id = kwargs.get('device_id', 0)
+        provider = kwargs.get('onnx_device', 'CPU')
+
+        if provider != "torch_gpu":
+            self.landmark_runner = LandmarkRunner(
+                ckpt_path=os.path.join(folder_paths.models_dir, 'liveportrait', 'landmark.onnx'),
+                onnx_provider=provider,
+                device_id=device_id
+                )
+            self.landmark_runner.warmup()
+        else:
+            self.landmark_runner = LandmarkRunnerTorch(
+                    ckpt_path=os.path.join(folder_paths.models_dir, 'liveportrait', 'landmark_model.pth'),
+                    onnx_provider=provider,
+                    device_id=device_id
+                )
+        
+        from ...media_pipe.mp_utils  import LMKExtractor
+        self.lmk_extractor = LMKExtractor()
+
+    def crop_single_image(self, img_rgb, dsize, scale, vy_ratio, vx_ratio, face_index, face_index_order, rotate):
+       
+        face_result = self.lmk_extractor(img_rgb)
+
+        if face_result is None:
+            ret_dct = {}
+            cropped_image_256 = None
+            return ret_dct, cropped_image_256
+
+        face_landmarks = face_result[face_index]
+
+        lmks = []
+        for index in range(len(face_landmarks)):
+            x = face_landmarks[index].x * img_rgb.shape[1]
+            y = face_landmarks[index].y * img_rgb.shape[0]
+            lmks.append([x, y])
+        pts = np.array(lmks)
+       
+        # crop the face
+        ret_dct, image_crop = crop_image(
+            img_rgb,  # ndarray
+            pts,  # 106x2 or Nx2
+            dsize=dsize,
+            scale=scale,
+            vy_ratio=vy_ratio,
+            vx_ratio=vx_ratio,
+            rotate=rotate
+        )
+        # update a 256x256 version for network input or else
+        cropped_image_256 = cv2.resize(image_crop, (256, 256), interpolation=cv2.INTER_AREA)
+        del image_crop
+        ret_dct['pt_crop_256x256'] = ret_dct['pt_crop'] * 256 / dsize
+
+        input_image_size = img_rgb.shape[:2]
+        ret_dct['input_image_size'] = input_image_size
+    
+        recon_ret = self.landmark_runner.run(img_rgb, pts)
+        lmk = recon_ret['pts']
+        ret_dct['lmk_crop'] = lmk
+
+        return ret_dct, cropped_image_256
+    
+class CropperFaceAlignment(object):
+    def __init__(self, **kwargs) -> None:
+        device_id = kwargs.get('device_id', 0)
+        provider = kwargs.get('onnx_device', 'CPU')
+        face_detector_device = kwargs.get('face_detector_device', 'cuda')
+        face_detector = kwargs.get('face_detector', 'blazeface')
+        face_detector_dtype = kwargs.get('face_detector_dtype', 'fp16')
+
+        if provider != "torch_gpu":
+            self.landmark_runner = LandmarkRunner(
+                ckpt_path=os.path.join(folder_paths.models_dir, 'liveportrait', 'landmark.onnx'),
+                onnx_provider=provider,
+                device_id=device_id
+                )
+            self.landmark_runner.warmup()
+        else:
+            self.landmark_runner = LandmarkRunnerTorch(
+                    ckpt_path=os.path.join(folder_paths.models_dir, 'liveportrait', 'landmark_model.pth'),
+                    onnx_provider=provider,
+                    device_id=device_id
+                )
+            
+        from ...face_alignment import FaceAlignment, LandmarksType
+        if 'blazeface' in face_detector:
+            face_detector_kwargs = {'back_model': face_detector == 'blazeface_back_camera'}
+            self.fa = FaceAlignment(LandmarksType.TWO_D, flip_input=False, device=face_detector_device, dtype=face_detector_dtype, face_detector='blazeface', face_detector_kwargs=face_detector_kwargs)
+        else:
+            self.fa = FaceAlignment(LandmarksType.TWO_D, flip_input=False, device=face_detector_device, dtype=face_detector_dtype, face_detector=face_detector)
+
+    def crop_single_image(self, img_rgb, dsize, scale, vy_ratio, vx_ratio, face_index, face_index_order, rotate):
+       
+        face_result = self.fa.get_landmarks_from_image(img_rgb)
+
+        if face_result is None:
+            ret_dct = {}
+            cropped_image_256 = None
+            return ret_dct, cropped_image_256
+
+        face_landmarks = face_result[face_index]
+
+        pts = np.array(face_landmarks)
+       
+        # crop the face
+        ret_dct, image_crop = crop_image(
+            img_rgb,  # ndarray
+            pts,  # 106x2 or Nx2
+            dsize=dsize,
+            scale=scale,
+            vy_ratio=vy_ratio,
+            vx_ratio=vx_ratio,
+            rotate=rotate
+        )
+        # update a 256x256 version for network input or else
+        cropped_image_256 = cv2.resize(image_crop, (256, 256), interpolation=cv2.INTER_AREA)
+        del image_crop
+        ret_dct['pt_crop_256x256'] = ret_dct['pt_crop'] * 256 / dsize
+
+        input_image_size = img_rgb.shape[:2]
+        ret_dct['input_image_size'] = input_image_size
+    
+        recon_ret = self.landmark_runner.run(img_rgb, pts)
+        lmk = recon_ret['pts']
+        ret_dct['lmk_crop'] = lmk
+
+        return ret_dct, cropped_image_256
+    
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/face_analysis_diy.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/face_analysis_diy.py
new file mode 100644
index 0000000000000000000000000000000000000000..ac29ace45d2237dd616aec529c3abe21c76af7fc
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/face_analysis_diy.py
@@ -0,0 +1,93 @@
+# coding: utf-8
+
+"""
+face detection and alignment using InsightFace
+"""
+from insightface.utils import transform
+
+#patch Insightface function to get rid of the annoying warnings
+def patched_estimate_affine_matrix_3d23d(X, Y):
+    ''' Using least-squares solution 
+    Args:
+        X: [n, 3]. 3d points(fixed)
+        Y: [n, 3]. corresponding 3d points(moving). Y = PX
+    Returns:
+        P_Affine: (3, 4). Affine camera matrix (the third row is [0, 0, 0, 1]).
+    '''
+    X_homo = np.hstack((X, np.ones([X.shape[0],1]))) # n x 4
+    P = np.linalg.lstsq(X_homo, Y, rcond=None)[0].T # Affine matrix. 3 x 4
+    return P
+
+transform.estimate_affine_matrix_3d23d = patched_estimate_affine_matrix_3d23d
+
+import numpy as np
+from insightface.app import FaceAnalysis
+from insightface.app.common import Face
+from .timer import Timer
+
+def sort_by_direction(faces, direction: str = 'large-small', face_center=None):
+    if len(faces) <= 0:
+        return faces
+
+    if direction == 'left-right':
+        return sorted(faces, key=lambda face: face['bbox'][0])
+    if direction == 'right-left':
+        return sorted(faces, key=lambda face: face['bbox'][0], reverse=True)
+    if direction == 'top-bottom':
+        return sorted(faces, key=lambda face: face['bbox'][1])
+    if direction == 'bottom-top':
+        return sorted(faces, key=lambda face: face['bbox'][1], reverse=True)
+    if direction == 'small-large':
+        return sorted(faces, key=lambda face: (face['bbox'][2] - face['bbox'][0]) * (face['bbox'][3] - face['bbox'][1]))
+    if direction == 'large-small':
+        return sorted(faces, key=lambda face: (face['bbox'][2] - face['bbox'][0]) * (face['bbox'][3] - face['bbox'][1]), reverse=True)
+    if direction == 'distance-from-retarget-face':
+        return sorted(faces, key=lambda face: (((face['bbox'][2]+face['bbox'][0])/2-face_center[0])**2+((face['bbox'][3]+face['bbox'][1])/2-face_center[1])**2)**0.5)
+    return faces
+
+
+class FaceAnalysisDIY(FaceAnalysis):
+    def __init__(self, name='buffalo_l', root='~/.insightface', allowed_modules=None, **kwargs):
+        super().__init__(name=name, root=root, allowed_modules=allowed_modules, **kwargs)
+
+        self.timer = Timer()
+
+    def get(self, img_bgr, **kwargs):
+        max_num = kwargs.get('max_num', 0)  # the number of the detected faces, 0 means no limit
+        flag_do_landmark_2d_106 = kwargs.get('flag_do_landmark_2d_106', True)  # whether to do 106-point detection
+        direction = kwargs.get('direction', 'large-small')  # sorting direction
+        face_center = None
+
+        bboxes, kpss = self.det_model.detect(img_bgr, max_num=max_num, metric='default')
+        if bboxes.shape[0] == 0:
+            return []
+        ret = []
+        for i in range(bboxes.shape[0]):
+            bbox = bboxes[i, 0:4]
+            det_score = bboxes[i, 4]
+            kps = None
+            if kpss is not None:
+                kps = kpss[i]
+            face = Face(bbox=bbox, kps=kps, det_score=det_score)
+            for taskname, model in self.models.items():
+                if taskname == 'detection':
+                    continue
+
+                if (not flag_do_landmark_2d_106) and taskname == 'landmark_2d_106':
+                    continue
+
+                # print(f'taskname: {taskname}')
+                model.get(img_bgr, face)
+            ret.append(face)
+
+        ret = sort_by_direction(ret, direction, face_center)
+        return ret
+
+    def warmup(self):
+        self.timer.tic()
+
+        img_bgr = np.zeros((512, 512, 3), dtype=np.uint8)
+        self.get(img_bgr)
+
+        elapse = self.timer.toc()
+        print(f'FaceAnalysisDIY warmup time: {elapse:.3f}s')
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/filter.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/filter.py
new file mode 100644
index 0000000000000000000000000000000000000000..a7393ea16704b2ed9142a24139f11ee189d7947a
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/filter.py
@@ -0,0 +1,30 @@
+import torch
+import numpy as np
+from pykalman import KalmanFilter
+
+
+def smooth(x_d_lst, shape, device, observation_variance=3e-6, process_variance=1e-5):
+    # Reshape x_d_lst, skipping None values
+    x_d_lst_reshape = [x.reshape(-1) for x in x_d_lst if x is not None]
+
+    if not x_d_lst_reshape:  # Check if x_d_lst_reshape is empty after filtering
+        return [None] * len(x_d_lst)  # Return a list of Nones with the same length as x_d_lst
+
+    x_d_stacked = np.vstack(x_d_lst_reshape)
+
+    kf = KalmanFilter(
+        initial_state_mean=x_d_stacked[0],
+        n_dim_obs=x_d_stacked.shape[1],
+        transition_covariance=process_variance * np.eye(x_d_stacked.shape[1]),
+        observation_covariance=observation_variance * np.eye(x_d_stacked.shape[1])
+    )
+
+    smoothed_state_means, _ = kf.smooth(x_d_stacked)
+
+    # Initialize an iterator for smoothed_state_means
+    smoothed_states_iter = iter(smoothed_state_means)
+
+    # Create x_d_lst_smooth, inserting None for each None encountered in the original list
+    x_d_lst_smooth = [torch.tensor(next(smoothed_states_iter).reshape(shape[-2:]), dtype=torch.float32, device=device) if x is not None else None for x in x_d_lst]
+
+    return x_d_lst_smooth
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/helper.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/helper.py
new file mode 100644
index 0000000000000000000000000000000000000000..fd46387a689f343da0d52e9bb10fa792a40a8177
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/helper.py
@@ -0,0 +1,96 @@
+# coding: utf-8
+
+"""
+utility functions and classes to handle feature extraction and model loading
+"""
+
+import cv2
+import torch
+import numpy as np
+from typing import Union
+from collections import OrderedDict
+from scipy.spatial import ConvexHull # pylint: disable=E0401,E0611
+
+def squeeze_tensor_to_numpy(tensor):
+    out = tensor.data.squeeze(0).cpu().numpy()
+    return out
+
+def dct2cuda(dct: dict, device_id: int):
+    for key in dct:
+        dct[key] = torch.tensor(dct[key]).to(device_id)
+    return dct
+
+
+def concat_feat(kp_source: torch.Tensor, kp_driving: torch.Tensor) -> torch.Tensor:
+    """
+    kp_source: (bs, k, 3)
+    kp_driving: (bs, k, 3)
+    Return: (bs, 2k*3)
+    """
+    bs_src = kp_source.shape[0]
+    bs_dri = kp_driving.shape[0]
+    assert bs_src == bs_dri, 'batch size must be equal'
+
+    feat = torch.cat([kp_source.view(bs_src, -1), kp_driving.view(bs_dri, -1)], dim=1)
+    return feat
+
+
+def remove_ddp_dumplicate_key(state_dict):
+    state_dict_new = OrderedDict()
+    for key in state_dict.keys():
+        state_dict_new[key.replace('module.', '')] = state_dict[key]
+    return state_dict_new
+
+# get coefficients of Eqn. 7
+def calculate_transformation(config, s_kp_info, t_0_kp_info, t_i_kp_info, R_s, R_t_0, R_t_i):
+    if config.relative:
+        new_rotation = (R_t_i @ R_t_0.permute(0, 2, 1)) @ R_s
+        new_expression = s_kp_info['exp'] + (t_i_kp_info['exp'] - t_0_kp_info['exp'])
+    else:
+        new_rotation = R_t_i
+        new_expression = t_i_kp_info['exp']
+    new_translation = s_kp_info['t'] + (t_i_kp_info['t'] - t_0_kp_info['t'])
+    new_translation[..., 2].fill_(0)  # Keep the z-axis unchanged
+    new_scale = s_kp_info['scale'] * (t_i_kp_info['scale'] / t_0_kp_info['scale'])
+    return new_rotation, new_expression, new_translation, new_scale
+
+
+def resize_to_limit(img, max_dim=1280, n=2):
+    h, w = img.shape[:2]
+    if max_dim > 0 and max(h, w) > max_dim:
+        if h > w:
+            new_h = max_dim
+            new_w = int(w * (max_dim / h))
+        else:
+            new_w = max_dim
+            new_h = int(h * (max_dim / w))
+        img = cv2.resize(img, (new_w, new_h))
+    n = max(n, 1)
+    new_h = img.shape[0] - (img.shape[0] % n)
+    new_w = img.shape[1] - (img.shape[1] % n)
+    if new_h == 0 or new_w == 0:
+        return img
+    if new_h != img.shape[0] or new_w != img.shape[1]:
+        img = img[:new_h, :new_w]
+    return img
+
+def tensor_to_numpy(data: Union[np.ndarray, torch.Tensor]) -> np.ndarray:
+    """transform torch.Tensor into numpy.ndarray"""
+    if isinstance(data, torch.Tensor):
+        return data.data.cpu().numpy()
+    return data
+
+def calc_motion_multiplier(
+    kp_source: Union[np.ndarray, torch.Tensor],
+    kp_driving_initial: Union[np.ndarray, torch.Tensor]
+) -> float:
+    """calculate motion_multiplier based on the source image and the first driving frame"""
+    kp_source_np = tensor_to_numpy(kp_source)
+    kp_driving_initial_np = tensor_to_numpy(kp_driving_initial)
+
+    source_area = ConvexHull(kp_source_np.squeeze(0)).volume
+    driving_area = ConvexHull(kp_driving_initial_np.squeeze(0)).volume
+    motion_multiplier = np.sqrt(source_area) / np.sqrt(driving_area)
+    # motion_multiplier = np.cbrt(source_area) / np.cbrt(driving_area)
+
+    return motion_multiplier
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py
new file mode 100644
index 0000000000000000000000000000000000000000..87bea17e8343c9dc46411410a02523c0c305aab7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/landmark_runner.py
@@ -0,0 +1,133 @@
+# coding: utf-8
+
+import cv2#; cv2.setNumThreads(0); cv2.ocl.setUseOpenCL(False)
+import torch
+import numpy as np
+
+from .timer import Timer
+from .crop import crop_image, _transform_pts
+import folder_paths
+import os
+def to_ndarray(obj):
+    if isinstance(obj, torch.Tensor):
+        return obj.cpu().numpy()
+    elif isinstance(obj, np.ndarray):
+        return obj
+    else:
+        return np.array(obj)
+
+class LandmarkRunner(object):
+    """landmark runner"""
+    def __init__(self, **kwargs):
+        ckpt_path = kwargs.get('ckpt_path')
+        onnx_provider = kwargs.get('onnx_provider', 'cuda')
+        device_id = kwargs.get('device_id', 0)
+        self.dsize = kwargs.get('dsize', 224)
+        self.timer = Timer()
+
+        import onnxruntime
+
+        if onnx_provider.lower() == 'cuda':
+            self.session = onnxruntime.InferenceSession(
+                ckpt_path, providers=[
+                    ('CUDAExecutionProvider', {'device_id': device_id})
+                ]
+            )
+        else:
+            opts = onnxruntime.SessionOptions()
+            opts.intra_op_num_threads = 4
+            self.session = onnxruntime.InferenceSession(
+                ckpt_path, providers=['CPUExecutionProvider'],
+                sess_options=opts
+            )
+
+    def _run(self, inp):
+        out = self.session.run(None, {'input': inp})
+        return out
+
+    def run(self, img_rgb: np.ndarray, lmk=None):
+        if lmk is not None:
+            crop_dct, img_crop_rgb = crop_image(img_rgb, lmk, dsize=self.dsize, scale=1.5, vy_ratio=-0.1)
+        else:
+            img_crop_rgb = cv2.resize(img_rgb, (self.dsize, self.dsize))
+            scale = max(img_rgb.shape[:2]) / self.dsize
+            crop_dct = {
+                'M_c2o': np.array([
+                    [scale, 0., 0.],
+                    [0., scale, 0.],
+                    [0., 0., 1.],
+                ], dtype=np.float32),
+            }
+
+        inp = (img_crop_rgb.astype(np.float32) / 255.).transpose(2, 0, 1)[None, ...]  # HxWx3 (BGR) -> 1x3xHxW (RGB!)
+
+        out_lst = self._run(inp)
+        out_pts = out_lst[2]
+
+        pts = to_ndarray(out_pts[0]).reshape(-1, 2) * self.dsize  # scale to 0-224
+        pts = _transform_pts(pts, M=crop_dct['M_c2o'])
+        del crop_dct, img_crop_rgb
+        return {
+            'pts': pts,  # 2d landmarks 203 points
+        }
+
+    def warmup(self):
+        self.timer.tic()
+
+        dummy_image = np.zeros((1, 3, self.dsize, self.dsize), dtype=np.float32)
+
+        _ = self._run(dummy_image)
+
+        elapse = self.timer.toc()
+        print(f'LandmarkRunner warmup time: {elapse:.3f}s')
+
+class LandmarkRunnerTorch(object):
+    """landmark runner torch version"""
+    def __init__(self, **kwargs):
+        self.device = kwargs.get('device_id', 0)
+        self.dsize = kwargs.get('dsize', 224)
+        ckpt_path = kwargs.get('ckpt_path')
+
+        if not os.path.exists(ckpt_path):
+            download_path = os.path.join(folder_paths.models_dir, "liveportrait")
+            print(f"Downloading model to: {ckpt_path}")
+            from huggingface_hub import snapshot_download
+
+            snapshot_download(
+                repo_id="Kijai/LivePortrait_safetensors",
+                allow_patterns="*landmark_model.pth*",
+                local_dir=download_path,
+                local_dir_use_symlinks=False,
+            )
+        self.model = torch.load(ckpt_path).to(self.device)
+
+    def _run(self, inp):
+        input = torch.from_numpy(inp).to(self.device)
+        out = self.model(input)
+        return out
+
+    def run(self, img_rgb: np.ndarray, lmk=None):
+        if lmk is not None:
+            crop_dct, img_crop_rgb = crop_image(img_rgb, lmk, dsize=self.dsize, scale=1.5, vy_ratio=-0.1)
+        else:
+            img_crop_rgb = cv2.resize(img_rgb, (self.dsize, self.dsize))
+            scale = max(img_rgb.shape[:2]) / self.dsize
+            crop_dct = {
+                'M_c2o': np.array([
+                    [scale, 0., 0.],
+                    [0., scale, 0.],
+                    [0., 0., 1.],
+                ], dtype=np.float32),
+            }
+
+        inp = (img_crop_rgb.astype(np.float32) / 255.).transpose(2, 0, 1)[None, ...]  # HxWx3 (BGR) -> 1x3xHxW (RGB!)
+
+        out_lst = self._run(inp)
+        out_pts = out_lst[2]
+
+        pts = to_ndarray(out_pts[0]).reshape(-1, 2) * self.dsize  # scale to 0-224
+        pts = _transform_pts(pts, M=crop_dct['M_c2o'])
+        del crop_dct, img_crop_rgb
+        return {
+            'pts': pts,  # 2d landmarks 203 points
+        }
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/resources/mask_template.png b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/resources/mask_template.png
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diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/retargeting_utils.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/retargeting_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..9d2e1ebd7a352cc215d216e0184d62293ab8842f
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/retargeting_utils.py
@@ -0,0 +1,76 @@
+
+"""
+Functions to compute distance ratios between specific pairs of facial landmarks
+"""
+
+import numpy as np
+import torch
+
+
+def calculate_distance_ratio(lmk: np.ndarray, idx1: int, idx2: int, idx3: int, idx4: int, eps: float = 1e-6) -> np.ndarray:
+    """
+    Calculate the ratio of the distance between two pairs of landmarks.
+
+    Parameters:
+    lmk (np.ndarray): Landmarks array of shape (B, N, 2).
+    idx1, idx2, idx3, idx4 (int): Indices of the landmarks.
+    eps (float): Small value to avoid division by zero.
+
+    Returns:
+    np.ndarray: Calculated distance ratio.
+    """
+    return (np.linalg.norm(lmk[:, idx1] - lmk[:, idx2], axis=1, keepdims=True) /
+            (np.linalg.norm(lmk[:, idx3] - lmk[:, idx4], axis=1, keepdims=True) + eps))
+
+
+def calc_eye_close_ratio(lmk: np.ndarray, target_eye_ratio: np.ndarray = None) -> np.ndarray:
+    """
+    Calculate the eye-close ratio for left and right eyes.
+
+    Parameters:
+    lmk (np.ndarray): Landmarks array of shape (B, N, 2).
+    target_eye_ratio (np.ndarray, optional): Additional target eye ratio array to include.
+
+    Returns:
+    np.ndarray: Concatenated eye-close ratios.
+    """
+    lefteye_close_ratio = calculate_distance_ratio(lmk, 6, 18, 0, 12)
+    righteye_close_ratio = calculate_distance_ratio(lmk, 30, 42, 24, 36)
+    if target_eye_ratio is not None:
+        return np.concatenate([lefteye_close_ratio, righteye_close_ratio, target_eye_ratio], axis=1)
+    else:
+        return np.concatenate([lefteye_close_ratio, righteye_close_ratio], axis=1)
+
+
+def calc_lip_close_ratio(lmk: np.ndarray) -> np.ndarray:
+    """
+    Calculate the lip-close ratio.
+
+    Parameters:
+    lmk (np.ndarray): Landmarks array of shape (B, N, 2).
+
+    Returns:
+    np.ndarray: Calculated lip-close ratio.
+    """
+    return calculate_distance_ratio(lmk, 90, 102, 48, 66)
+
+
+def compute_eye_delta(frame_idx, input_eye_ratios, source_landmarks, portrait_wrapper, kp_source):
+    input_eye_ratio = input_eye_ratios[frame_idx][0][0]
+    eye_close_ratio = calc_eye_close_ratio(source_landmarks[None])
+    eye_close_ratio_tensor = torch.from_numpy(eye_close_ratio).float().to(portrait_wrapper.device_id)
+    input_eye_ratio_tensor = torch.Tensor([input_eye_ratio]).reshape(1, 1).to(portrait_wrapper.device_id)
+    combined_eye_ratio_tensor = torch.cat([eye_close_ratio_tensor, input_eye_ratio_tensor], dim=1)
+    # print(combined_eye_ratio_tensor.mean())
+    eye_delta = portrait_wrapper.retarget_eye(kp_source, combined_eye_ratio_tensor)
+    return eye_delta
+
+
+def compute_lip_delta(frame_idx, input_lip_ratios, source_landmarks, portrait_wrapper, kp_source):
+    input_lip_ratio = input_lip_ratios[frame_idx][0]
+    lip_close_ratio = calc_lip_close_ratio(source_landmarks[None])
+    lip_close_ratio_tensor = torch.from_numpy(lip_close_ratio).float().to(portrait_wrapper.device_id)
+    input_lip_ratio_tensor = torch.Tensor([input_lip_ratio]).to(portrait_wrapper.device_id)
+    combined_lip_ratio_tensor = torch.cat([lip_close_ratio_tensor, input_lip_ratio_tensor], dim=1)
+    lip_delta = portrait_wrapper.retarget_lip(kp_source, combined_lip_ratio_tensor)
+    return lip_delta
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/timer.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/timer.py
new file mode 100644
index 0000000000000000000000000000000000000000..3570fa45d3ff36376471b82a5b3c02efe46eed98
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/liveportrait/utils/timer.py
@@ -0,0 +1,29 @@
+# coding: utf-8
+
+"""
+tools to measure elapsed time
+"""
+
+import time
+
+class Timer(object):
+    """A simple timer."""
+
+    def __init__(self):
+        self.total_time = 0.
+        self.calls = 0
+        self.start_time = 0.
+        self.diff = 0.
+
+    def tic(self):
+        # using time.time instead of time.clock because time time.clock
+        # does not normalize for multithreading
+        self.start_time = time.time()
+
+    def toc(self, average=True):
+        self.diff = time.time() - self.start_time
+        return self.diff
+
+    def clear(self):
+        self.start_time = 0.
+        self.diff = 0.
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/__init__.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..877471dc2841476c3969d4ceeff5aad1bac4c675
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/__init__.py
@@ -0,0 +1 @@
+from .mp_utils  import LMKExtractor
\ No newline at end of file
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diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/face_landmark.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/face_landmark.py
new file mode 100644
index 0000000000000000000000000000000000000000..b6580cb2cded9dcfeab46b0d50c8931ed6256669
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/face_landmark.py
@@ -0,0 +1,3305 @@
+# Copyright 2023 The MediaPipe Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""MediaPipe face landmarker task."""
+
+import dataclasses
+import enum
+from typing import Callable, Mapping, Optional, List
+
+import numpy as np
+
+from mediapipe.framework.formats import classification_pb2
+from mediapipe.framework.formats import landmark_pb2
+from mediapipe.framework.formats import matrix_data_pb2
+from mediapipe.python import packet_creator
+from mediapipe.python import packet_getter
+from mediapipe.python._framework_bindings import image as image_module
+from mediapipe.python._framework_bindings import packet as packet_module
+# pylint: disable=unused-import
+from mediapipe.tasks.cc.vision.face_geometry.proto import face_geometry_pb2
+# pylint: enable=unused-import
+from mediapipe.tasks.cc.vision.face_landmarker.proto import face_landmarker_graph_options_pb2
+from mediapipe.tasks.python.components.containers import category as category_module
+from mediapipe.tasks.python.components.containers import landmark as landmark_module
+from mediapipe.tasks.python.core import base_options as base_options_module
+from mediapipe.tasks.python.core import task_info as task_info_module
+from mediapipe.tasks.python.core.optional_dependencies import doc_controls
+from mediapipe.tasks.python.vision.core import base_vision_task_api
+from mediapipe.tasks.python.vision.core import image_processing_options as image_processing_options_module
+from mediapipe.tasks.python.vision.core import vision_task_running_mode as running_mode_module
+
+_BaseOptions = base_options_module.BaseOptions
+_FaceLandmarkerGraphOptionsProto = (
+    face_landmarker_graph_options_pb2.FaceLandmarkerGraphOptions
+)
+_LayoutEnum = matrix_data_pb2.MatrixData.Layout
+_RunningMode = running_mode_module.VisionTaskRunningMode
+_ImageProcessingOptions = image_processing_options_module.ImageProcessingOptions
+_TaskInfo = task_info_module.TaskInfo
+
+_IMAGE_IN_STREAM_NAME = 'image_in'
+_IMAGE_OUT_STREAM_NAME = 'image_out'
+_IMAGE_TAG = 'IMAGE'
+_NORM_RECT_STREAM_NAME = 'norm_rect_in'
+_NORM_RECT_TAG = 'NORM_RECT'
+_NORM_LANDMARKS_STREAM_NAME = 'norm_landmarks'
+_NORM_LANDMARKS_TAG = 'NORM_LANDMARKS'
+_BLENDSHAPES_STREAM_NAME = 'blendshapes'
+_BLENDSHAPES_TAG = 'BLENDSHAPES'
+_FACE_GEOMETRY_STREAM_NAME = 'face_geometry'
+_FACE_GEOMETRY_TAG = 'FACE_GEOMETRY'
+_TASK_GRAPH_NAME = 'mediapipe.tasks.vision.face_landmarker.FaceLandmarkerGraph'
+_MICRO_SECONDS_PER_MILLISECOND = 1000
+
+
+class Blendshapes(enum.IntEnum):
+  """The 52 blendshape coefficients."""
+
+  NEUTRAL = 0
+  BROW_DOWN_LEFT = 1
+  BROW_DOWN_RIGHT = 2
+  BROW_INNER_UP = 3
+  BROW_OUTER_UP_LEFT = 4
+  BROW_OUTER_UP_RIGHT = 5
+  CHEEK_PUFF = 6
+  CHEEK_SQUINT_LEFT = 7
+  CHEEK_SQUINT_RIGHT = 8
+  EYE_BLINK_LEFT = 9
+  EYE_BLINK_RIGHT = 10
+  EYE_LOOK_DOWN_LEFT = 11
+  EYE_LOOK_DOWN_RIGHT = 12
+  EYE_LOOK_IN_LEFT = 13
+  EYE_LOOK_IN_RIGHT = 14
+  EYE_LOOK_OUT_LEFT = 15
+  EYE_LOOK_OUT_RIGHT = 16
+  EYE_LOOK_UP_LEFT = 17
+  EYE_LOOK_UP_RIGHT = 18
+  EYE_SQUINT_LEFT = 19
+  EYE_SQUINT_RIGHT = 20
+  EYE_WIDE_LEFT = 21
+  EYE_WIDE_RIGHT = 22
+  JAW_FORWARD = 23
+  JAW_LEFT = 24
+  JAW_OPEN = 25
+  JAW_RIGHT = 26
+  MOUTH_CLOSE = 27
+  MOUTH_DIMPLE_LEFT = 28
+  MOUTH_DIMPLE_RIGHT = 29
+  MOUTH_FROWN_LEFT = 30
+  MOUTH_FROWN_RIGHT = 31
+  MOUTH_FUNNEL = 32
+  MOUTH_LEFT = 33
+  MOUTH_LOWER_DOWN_LEFT = 34
+  MOUTH_LOWER_DOWN_RIGHT = 35
+  MOUTH_PRESS_LEFT = 36
+  MOUTH_PRESS_RIGHT = 37
+  MOUTH_PUCKER = 38
+  MOUTH_RIGHT = 39
+  MOUTH_ROLL_LOWER = 40
+  MOUTH_ROLL_UPPER = 41
+  MOUTH_SHRUG_LOWER = 42
+  MOUTH_SHRUG_UPPER = 43
+  MOUTH_SMILE_LEFT = 44
+  MOUTH_SMILE_RIGHT = 45
+  MOUTH_STRETCH_LEFT = 46
+  MOUTH_STRETCH_RIGHT = 47
+  MOUTH_UPPER_UP_LEFT = 48
+  MOUTH_UPPER_UP_RIGHT = 49
+  NOSE_SNEER_LEFT = 50
+  NOSE_SNEER_RIGHT = 51
+
+
+class FaceLandmarksConnections:
+  """The connections between face landmarks."""
+
+  @dataclasses.dataclass
+  class Connection:
+    """The connection class for face landmarks."""
+
+    start: int
+    end: int
+
+  FACE_LANDMARKS_LIPS: List[Connection] = [
+      Connection(61, 146),
+      Connection(146, 91),
+      Connection(91, 181),
+      Connection(181, 84),
+      Connection(84, 17),
+      Connection(17, 314),
+      Connection(314, 405),
+      Connection(405, 321),
+      Connection(321, 375),
+      Connection(375, 291),
+      Connection(61, 185),
+      Connection(185, 40),
+      Connection(40, 39),
+      Connection(39, 37),
+      Connection(37, 0),
+      Connection(0, 267),
+      Connection(267, 269),
+      Connection(269, 270),
+      Connection(270, 409),
+      Connection(409, 291),
+      Connection(78, 95),
+      Connection(95, 88),
+      Connection(88, 178),
+      Connection(178, 87),
+      Connection(87, 14),
+      Connection(14, 317),
+      Connection(317, 402),
+      Connection(402, 318),
+      Connection(318, 324),
+      Connection(324, 308),
+      Connection(78, 191),
+      Connection(191, 80),
+      Connection(80, 81),
+      Connection(81, 82),
+      Connection(82, 13),
+      Connection(13, 312),
+      Connection(312, 311),
+      Connection(311, 310),
+      Connection(310, 415),
+      Connection(415, 308),
+  ]
+
+  FACE_LANDMARKS_LEFT_EYE: List[Connection] = [
+      Connection(263, 249),
+      Connection(249, 390),
+      Connection(390, 373),
+      Connection(373, 374),
+      Connection(374, 380),
+      Connection(380, 381),
+      Connection(381, 382),
+      Connection(382, 362),
+      Connection(263, 466),
+      Connection(466, 388),
+      Connection(388, 387),
+      Connection(387, 386),
+      Connection(386, 385),
+      Connection(385, 384),
+      Connection(384, 398),
+      Connection(398, 362),
+  ]
+
+  FACE_LANDMARKS_LEFT_EYEBROW: List[Connection] = [
+      Connection(276, 283),
+      Connection(283, 282),
+      Connection(282, 295),
+      Connection(295, 285),
+      Connection(300, 293),
+      Connection(293, 334),
+      Connection(334, 296),
+      Connection(296, 336),
+  ]
+
+  FACE_LANDMARKS_LEFT_IRIS: List[Connection] = [
+      Connection(474, 475),
+      Connection(475, 476),
+      Connection(476, 477),
+      Connection(477, 474),
+  ]
+
+  FACE_LANDMARKS_RIGHT_EYE: List[Connection] = [
+      Connection(33, 7),
+      Connection(7, 163),
+      Connection(163, 144),
+      Connection(144, 145),
+      Connection(145, 153),
+      Connection(153, 154),
+      Connection(154, 155),
+      Connection(155, 133),
+      Connection(33, 246),
+      Connection(246, 161),
+      Connection(161, 160),
+      Connection(160, 159),
+      Connection(159, 158),
+      Connection(158, 157),
+      Connection(157, 173),
+      Connection(173, 133),
+  ]
+
+  FACE_LANDMARKS_RIGHT_EYEBROW: List[Connection] = [
+      Connection(46, 53),
+      Connection(53, 52),
+      Connection(52, 65),
+      Connection(65, 55),
+      Connection(70, 63),
+      Connection(63, 105),
+      Connection(105, 66),
+      Connection(66, 107),
+  ]
+
+  FACE_LANDMARKS_RIGHT_IRIS: List[Connection] = [
+      Connection(469, 470),
+      Connection(470, 471),
+      Connection(471, 472),
+      Connection(472, 469),
+  ]
+
+  FACE_LANDMARKS_FACE_OVAL: List[Connection] = [
+      Connection(10, 338),
+      Connection(338, 297),
+      Connection(297, 332),
+      Connection(332, 284),
+      Connection(284, 251),
+      Connection(251, 389),
+      Connection(389, 356),
+      Connection(356, 454),
+      Connection(454, 323),
+      Connection(323, 361),
+      Connection(361, 288),
+      Connection(288, 397),
+      Connection(397, 365),
+      Connection(365, 379),
+      Connection(379, 378),
+      Connection(378, 400),
+      Connection(400, 377),
+      Connection(377, 152),
+      Connection(152, 148),
+      Connection(148, 176),
+      Connection(176, 149),
+      Connection(149, 150),
+      Connection(150, 136),
+      Connection(136, 172),
+      Connection(172, 58),
+      Connection(58, 132),
+      Connection(132, 93),
+      Connection(93, 234),
+      Connection(234, 127),
+      Connection(127, 162),
+      Connection(162, 21),
+      Connection(21, 54),
+      Connection(54, 103),
+      Connection(103, 67),
+      Connection(67, 109),
+      Connection(109, 10),
+  ]
+
+  FACE_LANDMARKS_CONTOURS: List[Connection] = (
+      FACE_LANDMARKS_LIPS
+      + FACE_LANDMARKS_LEFT_EYE
+      + FACE_LANDMARKS_LEFT_EYEBROW
+      + FACE_LANDMARKS_RIGHT_EYE
+      + FACE_LANDMARKS_RIGHT_EYEBROW
+      + FACE_LANDMARKS_FACE_OVAL
+  )
+
+  FACE_LANDMARKS_TESSELATION: List[Connection] = [
+      Connection(127, 34),
+      Connection(34, 139),
+      Connection(139, 127),
+      Connection(11, 0),
+      Connection(0, 37),
+      Connection(37, 11),
+      Connection(232, 231),
+      Connection(231, 120),
+      Connection(120, 232),
+      Connection(72, 37),
+      Connection(37, 39),
+      Connection(39, 72),
+      Connection(128, 121),
+      Connection(121, 47),
+      Connection(47, 128),
+      Connection(232, 121),
+      Connection(121, 128),
+      Connection(128, 232),
+      Connection(104, 69),
+      Connection(69, 67),
+      Connection(67, 104),
+      Connection(175, 171),
+      Connection(171, 148),
+      Connection(148, 175),
+      Connection(118, 50),
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+      Connection(252, 450),
+      Connection(450, 253),
+      Connection(252, 256),
+      Connection(256, 451),
+      Connection(451, 252),
+      Connection(256, 341),
+      Connection(341, 452),
+      Connection(452, 256),
+      Connection(414, 413),
+      Connection(413, 463),
+      Connection(463, 414),
+      Connection(286, 441),
+      Connection(441, 414),
+      Connection(414, 286),
+      Connection(286, 258),
+      Connection(258, 441),
+      Connection(441, 286),
+      Connection(258, 257),
+      Connection(257, 442),
+      Connection(442, 258),
+      Connection(257, 259),
+      Connection(259, 443),
+      Connection(443, 257),
+      Connection(259, 260),
+      Connection(260, 444),
+      Connection(444, 259),
+      Connection(260, 467),
+      Connection(467, 445),
+      Connection(445, 260),
+      Connection(309, 459),
+      Connection(459, 250),
+      Connection(250, 309),
+      Connection(305, 289),
+      Connection(289, 290),
+      Connection(290, 305),
+      Connection(305, 290),
+      Connection(290, 460),
+      Connection(460, 305),
+      Connection(401, 376),
+      Connection(376, 435),
+      Connection(435, 401),
+      Connection(309, 250),
+      Connection(250, 392),
+      Connection(392, 309),
+      Connection(376, 411),
+      Connection(411, 433),
+      Connection(433, 376),
+      Connection(453, 341),
+      Connection(341, 464),
+      Connection(464, 453),
+      Connection(357, 453),
+      Connection(453, 465),
+      Connection(465, 357),
+      Connection(343, 357),
+      Connection(357, 412),
+      Connection(412, 343),
+      Connection(437, 343),
+      Connection(343, 399),
+      Connection(399, 437),
+      Connection(344, 360),
+      Connection(360, 440),
+      Connection(440, 344),
+      Connection(420, 437),
+      Connection(437, 456),
+      Connection(456, 420),
+      Connection(360, 420),
+      Connection(420, 363),
+      Connection(363, 360),
+      Connection(361, 401),
+      Connection(401, 288),
+      Connection(288, 361),
+      Connection(265, 372),
+      Connection(372, 353),
+      Connection(353, 265),
+      Connection(390, 339),
+      Connection(339, 249),
+      Connection(249, 390),
+      Connection(339, 448),
+      Connection(448, 255),
+      Connection(255, 339),
+  ]
+
+
+@dataclasses.dataclass
+class FaceLandmarkerResult:
+  """The face landmarks detection result from FaceLandmarker, where each vector element represents a single face detected in the image.
+
+  Attributes:
+    face_landmarks: Detected face landmarks in normalized image coordinates.
+    face_blendshapes: Optional face blendshapes results.
+    facial_transformation_matrixes: Optional facial transformation matrix.
+  """
+
+  face_landmarks: List[List[landmark_module.NormalizedLandmark]]
+  face_blendshapes: List[List[category_module.Category]]
+  facial_transformation_matrixes: List[np.ndarray]
+
+
+def _build_landmarker_result(
+    output_packets: Mapping[str, packet_module.Packet]
+) -> FaceLandmarkerResult:
+  """Constructs a `FaceLandmarkerResult` from output packets."""
+  face_landmarks_proto_list = packet_getter.get_proto_list(
+      output_packets[_NORM_LANDMARKS_STREAM_NAME]
+  )
+
+  face_landmarks_results = []
+  for proto in face_landmarks_proto_list:
+    face_landmarks = landmark_pb2.NormalizedLandmarkList()
+    face_landmarks.MergeFrom(proto)
+    face_landmarks_list = []
+    for face_landmark in face_landmarks.landmark:
+      face_landmarks_list.append(
+          landmark_module.NormalizedLandmark.create_from_pb2(face_landmark)
+      )
+    face_landmarks_results.append(face_landmarks_list)
+
+  face_blendshapes_results = []
+  if _BLENDSHAPES_STREAM_NAME in output_packets:
+    face_blendshapes_proto_list = packet_getter.get_proto_list(
+        output_packets[_BLENDSHAPES_STREAM_NAME]
+    )
+    for proto in face_blendshapes_proto_list:
+      face_blendshapes_categories = []
+      face_blendshapes_classifications = classification_pb2.ClassificationList()
+      face_blendshapes_classifications.MergeFrom(proto)
+      for face_blendshapes in face_blendshapes_classifications.classification:
+        face_blendshapes_categories.append(
+            category_module.Category(
+                index=face_blendshapes.index,
+                score=face_blendshapes.score,
+                display_name=face_blendshapes.display_name,
+                category_name=face_blendshapes.label,
+            )
+        )
+      face_blendshapes_results.append(face_blendshapes_categories)
+
+  facial_transformation_matrixes_results = []
+  if _FACE_GEOMETRY_STREAM_NAME in output_packets:
+    facial_transformation_matrixes_proto_list = packet_getter.get_proto_list(
+        output_packets[_FACE_GEOMETRY_STREAM_NAME]
+    )
+    for proto in facial_transformation_matrixes_proto_list:
+      if hasattr(proto, 'pose_transform_matrix'):
+        matrix_data = matrix_data_pb2.MatrixData()
+        matrix_data.MergeFrom(proto.pose_transform_matrix)
+        matrix = np.array(matrix_data.packed_data)
+        matrix = matrix.reshape((matrix_data.rows, matrix_data.cols))
+        matrix = (
+            matrix if matrix_data.layout == _LayoutEnum.ROW_MAJOR else matrix.T
+        )
+        facial_transformation_matrixes_results.append(matrix)
+
+  return FaceLandmarkerResult(
+      face_landmarks_results,
+      face_blendshapes_results,
+      facial_transformation_matrixes_results,
+  )
+
+def _build_landmarker_result2(
+    output_packets: Mapping[str, packet_module.Packet]
+) -> FaceLandmarkerResult:
+  """Constructs a `FaceLandmarkerResult` from output packets."""
+  face_landmarks_proto_list = packet_getter.get_proto_list(
+      output_packets[_NORM_LANDMARKS_STREAM_NAME]
+  )
+
+  face_landmarks_results = []
+  for proto in face_landmarks_proto_list:
+    face_landmarks = landmark_pb2.NormalizedLandmarkList()
+    face_landmarks.MergeFrom(proto)
+    face_landmarks_list = []
+    for face_landmark in face_landmarks.landmark:
+      face_landmarks_list.append(
+          landmark_module.NormalizedLandmark.create_from_pb2(face_landmark)
+      )
+    face_landmarks_results.append(face_landmarks_list)
+
+  face_blendshapes_results = []
+  if _BLENDSHAPES_STREAM_NAME in output_packets:
+    face_blendshapes_proto_list = packet_getter.get_proto_list(
+        output_packets[_BLENDSHAPES_STREAM_NAME]
+    )
+    for proto in face_blendshapes_proto_list:
+      face_blendshapes_categories = []
+      face_blendshapes_classifications = classification_pb2.ClassificationList()
+      face_blendshapes_classifications.MergeFrom(proto)
+      for face_blendshapes in face_blendshapes_classifications.classification:
+        face_blendshapes_categories.append(
+            category_module.Category(
+                index=face_blendshapes.index,
+                score=face_blendshapes.score,
+                display_name=face_blendshapes.display_name,
+                category_name=face_blendshapes.label,
+            )
+        )
+      face_blendshapes_results.append(face_blendshapes_categories)
+
+  facial_transformation_matrixes_results = []
+  if _FACE_GEOMETRY_STREAM_NAME in output_packets:
+    facial_transformation_matrixes_proto_list = packet_getter.get_proto_list(
+        output_packets[_FACE_GEOMETRY_STREAM_NAME]
+    )
+    for proto in facial_transformation_matrixes_proto_list:
+      if hasattr(proto, 'pose_transform_matrix'):
+        matrix_data = matrix_data_pb2.MatrixData()
+        matrix_data.MergeFrom(proto.pose_transform_matrix)
+        matrix = np.array(matrix_data.packed_data)
+        matrix = matrix.reshape((matrix_data.rows, matrix_data.cols))
+        matrix = (
+            matrix if matrix_data.layout == _LayoutEnum.ROW_MAJOR else matrix.T
+        )
+        facial_transformation_matrixes_results.append(matrix)
+
+  return FaceLandmarkerResult(
+      face_landmarks_results,
+      face_blendshapes_results,
+      facial_transformation_matrixes_results,
+  ), facial_transformation_matrixes_proto_list[0].mesh
+
+@dataclasses.dataclass
+class FaceLandmarkerOptions:
+  """Options for the face landmarker task.
+
+  Attributes:
+    base_options: Base options for the face landmarker task.
+    running_mode: The running mode of the task. Default to the image mode.
+      FaceLandmarker has three running modes: 1) The image mode for detecting
+      face landmarks on single image inputs. 2) The video mode for detecting
+      face landmarks on the decoded frames of a video. 3) The live stream mode
+      for detecting face landmarks on the live stream of input data, such as
+      from camera. In this mode, the "result_callback" below must be specified
+      to receive the detection results asynchronously.
+    num_faces: The maximum number of faces that can be detected by the
+      FaceLandmarker.
+    min_face_detection_confidence: The minimum confidence score for the face
+      detection to be considered successful.
+    min_face_presence_confidence: The minimum confidence score of face presence
+      score in the face landmark detection.
+    min_tracking_confidence: The minimum confidence score for the face tracking
+      to be considered successful.
+    output_face_blendshapes: Whether FaceLandmarker outputs face blendshapes
+      classification. Face blendshapes are used for rendering the 3D face model.
+    output_facial_transformation_matrixes: Whether FaceLandmarker outputs facial
+      transformation_matrix. Facial transformation matrix is used to transform
+      the face landmarks in canonical face to the detected face, so that users
+      can apply face effects on the detected landmarks.
+    result_callback: The user-defined result callback for processing live stream
+      data. The result callback should only be specified when the running mode
+      is set to the live stream mode.
+  """
+
+  base_options: _BaseOptions
+  running_mode: _RunningMode = _RunningMode.IMAGE
+  num_faces: int = 1
+  min_face_detection_confidence: float = 0.5
+  min_face_presence_confidence: float = 0.5
+  min_tracking_confidence: float = 0.5
+  output_face_blendshapes: bool = False
+  output_facial_transformation_matrixes: bool = False
+  result_callback: Optional[
+      Callable[[FaceLandmarkerResult, image_module.Image, int], None]
+  ] = None
+
+  @doc_controls.do_not_generate_docs
+  def to_pb2(self) -> _FaceLandmarkerGraphOptionsProto:
+    """Generates an FaceLandmarkerGraphOptions protobuf object."""
+    base_options_proto = self.base_options.to_pb2()
+    base_options_proto.use_stream_mode = (
+        False if self.running_mode == _RunningMode.IMAGE else True
+    )
+
+    # Initialize the face landmarker options from base options.
+    face_landmarker_options_proto = _FaceLandmarkerGraphOptionsProto(
+        base_options=base_options_proto
+    )
+
+    # Configure face detector options.
+    face_landmarker_options_proto.face_detector_graph_options.num_faces = (
+        self.num_faces
+    )
+    face_landmarker_options_proto.face_detector_graph_options.min_detection_confidence = (
+        self.min_face_detection_confidence
+    )
+
+    # Configure face landmark detector options.
+    face_landmarker_options_proto.min_tracking_confidence = (
+        self.min_tracking_confidence
+    )
+    face_landmarker_options_proto.face_landmarks_detector_graph_options.min_detection_confidence = (
+        self.min_face_detection_confidence
+    )
+    return face_landmarker_options_proto
+
+
+class FaceLandmarker(base_vision_task_api.BaseVisionTaskApi):
+  """Class that performs face landmarks detection on images."""
+
+  @classmethod
+  def create_from_model_path(cls, model_path: str) -> 'FaceLandmarker':
+    """Creates an `FaceLandmarker` object from a TensorFlow Lite model and the default `FaceLandmarkerOptions`.
+
+    Note that the created `FaceLandmarker` instance is in image mode, for
+    detecting face landmarks on single image inputs.
+
+    Args:
+      model_path: Path to the model.
+
+    Returns:
+      `FaceLandmarker` object that's created from the model file and the
+      default `FaceLandmarkerOptions`.
+
+    Raises:
+      ValueError: If failed to create `FaceLandmarker` object from the
+        provided file such as invalid file path.
+      RuntimeError: If other types of error occurred.
+    """
+    base_options = _BaseOptions(model_asset_path=model_path)
+    options = FaceLandmarkerOptions(
+        base_options=base_options, running_mode=_RunningMode.IMAGE
+    )
+    return cls.create_from_options(options)
+
+  @classmethod
+  def create_from_options(
+      cls, options: FaceLandmarkerOptions
+  ) -> 'FaceLandmarker':
+    """Creates the `FaceLandmarker` object from face landmarker options.
+
+    Args:
+      options: Options for the face landmarker task.
+
+    Returns:
+      `FaceLandmarker` object that's created from `options`.
+
+    Raises:
+      ValueError: If failed to create `FaceLandmarker` object from
+        `FaceLandmarkerOptions` such as missing the model.
+      RuntimeError: If other types of error occurred.
+    """
+
+    def packets_callback(output_packets: Mapping[str, packet_module.Packet]):
+      if output_packets[_IMAGE_OUT_STREAM_NAME].is_empty():
+        return
+
+      image = packet_getter.get_image(output_packets[_IMAGE_OUT_STREAM_NAME])
+      if output_packets[_IMAGE_OUT_STREAM_NAME].is_empty():
+        return
+
+      if output_packets[_NORM_LANDMARKS_STREAM_NAME].is_empty():
+        empty_packet = output_packets[_NORM_LANDMARKS_STREAM_NAME]
+        options.result_callback(
+            FaceLandmarkerResult([], [], []),
+            image,
+            empty_packet.timestamp.value // _MICRO_SECONDS_PER_MILLISECOND,
+        )
+        return
+
+      face_landmarks_result = _build_landmarker_result(output_packets)
+      timestamp = output_packets[_NORM_LANDMARKS_STREAM_NAME].timestamp
+      options.result_callback(
+          face_landmarks_result,
+          image,
+          timestamp.value // _MICRO_SECONDS_PER_MILLISECOND,
+      )
+
+    output_streams = [
+        ':'.join([_NORM_LANDMARKS_TAG, _NORM_LANDMARKS_STREAM_NAME]),
+        ':'.join([_IMAGE_TAG, _IMAGE_OUT_STREAM_NAME]),
+    ]
+
+    if options.output_face_blendshapes:
+      output_streams.append(
+          ':'.join([_BLENDSHAPES_TAG, _BLENDSHAPES_STREAM_NAME])
+      )
+    if options.output_facial_transformation_matrixes:
+      output_streams.append(
+          ':'.join([_FACE_GEOMETRY_TAG, _FACE_GEOMETRY_STREAM_NAME])
+      )
+
+    task_info = _TaskInfo(
+        task_graph=_TASK_GRAPH_NAME,
+        input_streams=[
+            ':'.join([_IMAGE_TAG, _IMAGE_IN_STREAM_NAME]),
+            ':'.join([_NORM_RECT_TAG, _NORM_RECT_STREAM_NAME]),
+        ],
+        output_streams=output_streams,
+        task_options=options,
+    )
+    return cls(
+        task_info.generate_graph_config(
+            enable_flow_limiting=options.running_mode
+            == _RunningMode.LIVE_STREAM
+        ),
+        options.running_mode,
+        packets_callback if options.result_callback else None,
+    )
+
+  def detect(
+      self,
+      image: image_module.Image,
+      image_processing_options: Optional[_ImageProcessingOptions] = None,
+  ) -> FaceLandmarkerResult:
+    """Performs face landmarks detection on the given image.
+
+    Only use this method when the FaceLandmarker is created with the image
+    running mode.
+
+    The image can be of any size with format RGB or RGBA.
+    TODO: Describes how the input image will be preprocessed after the yuv
+    support is implemented.
+
+    Args:
+      image: MediaPipe Image.
+      image_processing_options: Options for image processing.
+
+    Returns:
+      The face landmarks detection results.
+
+    Raises:
+      ValueError: If any of the input arguments is invalid.
+      RuntimeError: If face landmarker detection failed to run.
+    """
+
+    normalized_rect = self.convert_to_normalized_rect(
+        image_processing_options, image, roi_allowed=False
+    )
+    output_packets = self._process_image_data({
+        _IMAGE_IN_STREAM_NAME: packet_creator.create_image(image),
+        _NORM_RECT_STREAM_NAME: packet_creator.create_proto(
+            normalized_rect.to_pb2()
+        ),
+    })
+
+    if output_packets[_NORM_LANDMARKS_STREAM_NAME].is_empty():
+      return FaceLandmarkerResult([], [], [])
+
+    return _build_landmarker_result2(output_packets)
+
+  def detect_for_video(
+      self,
+      image: image_module.Image,
+      timestamp_ms: int,
+      image_processing_options: Optional[_ImageProcessingOptions] = None,
+  ):
+    """Performs face landmarks detection on the provided video frame.
+
+    Only use this method when the FaceLandmarker is created with the video
+    running mode.
+
+    Only use this method when the FaceLandmarker is created with the video
+    running mode. It's required to provide the video frame's timestamp (in
+    milliseconds) along with the video frame. The input timestamps should be
+    monotonically increasing for adjacent calls of this method.
+
+    Args:
+      image: MediaPipe Image.
+      timestamp_ms: The timestamp of the input video frame in milliseconds.
+      image_processing_options: Options for image processing.
+
+    Returns:
+      The face landmarks detection results.
+
+    Raises:
+      ValueError: If any of the input arguments is invalid.
+      RuntimeError: If face landmarker detection failed to run.
+    """
+    normalized_rect = self.convert_to_normalized_rect(
+        image_processing_options, image, roi_allowed=False
+    )
+    output_packets = self._process_video_data({
+        _IMAGE_IN_STREAM_NAME: packet_creator.create_image(image).at(
+            timestamp_ms * _MICRO_SECONDS_PER_MILLISECOND
+        ),
+        _NORM_RECT_STREAM_NAME: packet_creator.create_proto(
+            normalized_rect.to_pb2()
+        ).at(timestamp_ms * _MICRO_SECONDS_PER_MILLISECOND),
+    })
+
+    if output_packets[_NORM_LANDMARKS_STREAM_NAME].is_empty():
+      return FaceLandmarkerResult([], [], [])
+
+    return _build_landmarker_result2(output_packets)
+
+  def detect_async(
+      self,
+      image: image_module.Image,
+      timestamp_ms: int,
+      image_processing_options: Optional[_ImageProcessingOptions] = None,
+  ) -> None:
+    """Sends live image data to perform face landmarks detection.
+
+    The results will be available via the "result_callback" provided in the
+    FaceLandmarkerOptions. Only use this method when the FaceLandmarker is
+    created with the live stream running mode.
+
+    Only use this method when the FaceLandmarker is created with the live
+    stream running mode. The input timestamps should be monotonically increasing
+    for adjacent calls of this method. This method will return immediately after
+    the input image is accepted. The results will be available via the
+    `result_callback` provided in the `FaceLandmarkerOptions`. The
+    `detect_async` method is designed to process live stream data such as
+    camera input. To lower the overall latency, face landmarker may drop the
+    input images if needed. In other words, it's not guaranteed to have output
+    per input image.
+
+    The `result_callback` provides:
+      - The face landmarks detection results.
+      - The input image that the face landmarker runs on.
+      - The input timestamp in milliseconds.
+
+    Args:
+      image: MediaPipe Image.
+      timestamp_ms: The timestamp of the input image in milliseconds.
+      image_processing_options: Options for image processing.
+
+    Raises:
+      ValueError: If the current input timestamp is smaller than what the
+      face landmarker has already processed.
+    """
+    normalized_rect = self.convert_to_normalized_rect(
+        image_processing_options, image, roi_allowed=False
+    )
+    self._send_live_stream_data({
+        _IMAGE_IN_STREAM_NAME: packet_creator.create_image(image).at(
+            timestamp_ms * _MICRO_SECONDS_PER_MILLISECOND
+        ),
+        _NORM_RECT_STREAM_NAME: packet_creator.create_proto(
+            normalized_rect.to_pb2()
+        ).at(timestamp_ms * _MICRO_SECONDS_PER_MILLISECOND),
+    })
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/mp_models/blaze_face_short_range.tflite b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/mp_models/blaze_face_short_range.tflite
new file mode 100644
index 0000000000000000000000000000000000000000..2645898ee18d8bf53746df830303779c9deabc7d
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/mp_models/blaze_face_short_range.tflite
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4578f35940bf5a1a655214a1cce5cab13eba73c1297cd78e1a04c2380b0152f
+size 229746
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/mp_models/face_landmarker_v2_with_blendshapes.task b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/mp_models/face_landmarker_v2_with_blendshapes.task
new file mode 100644
index 0000000000000000000000000000000000000000..fedb14de6d2b6708a56c04ae259783e23404c1aa
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/mp_models/face_landmarker_v2_with_blendshapes.task
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64184e229b263107bc2b804c6625db1341ff2bb731874b0bcc2fe6544e0bc9ff
+size 3758596
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/mp_utils.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/mp_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..aaae45d9ad0e03d76646bd39925312eaebc4c90b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/media_pipe/mp_utils.py
@@ -0,0 +1,38 @@
+import os
+import mediapipe as mp
+
+from mediapipe.tasks import python
+from mediapipe.tasks.python import vision
+from . import face_landmark
+
+CUR_DIR = os.path.dirname(__file__)
+
+class LMKExtractor():
+    def __init__(self):
+        # Create an FaceLandmarker object.
+        self.mode = mp.tasks.vision.FaceDetectorOptions.running_mode.IMAGE
+        base_options = python.BaseOptions(model_asset_path=os.path.join(CUR_DIR, 'mp_models','face_landmarker_v2_with_blendshapes.task'))
+        base_options.delegate = mp.tasks.BaseOptions.Delegate.CPU
+        options = vision.FaceLandmarkerOptions(base_options=base_options,
+                                            running_mode=self.mode,
+                                            output_face_blendshapes=False,
+                                            output_facial_transformation_matrixes=True,
+                                            num_faces=1,
+                                            min_face_detection_confidence=0.5,
+                                            min_face_presence_confidence=0.5,
+                                            min_tracking_confidence=0.5)
+        self.detector = face_landmark.FaceLandmarker.create_from_options(options)
+
+        det_base_options = python.BaseOptions(model_asset_path=os.path.join(CUR_DIR, 'mp_models','blaze_face_short_range.tflite'))
+        det_options = vision.FaceDetectorOptions(base_options=det_base_options)
+        self.det_detector = vision.FaceDetector.create_from_options(det_options)
+                
+    def __call__(self, img):
+        image = mp.Image(image_format=mp.ImageFormat.SRGB, data=img)
+        try:
+            detection_result, _ = self.detector.detect(image)
+        except:
+            return None
+            
+        return detection_result.face_landmarks
+        
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/nodes.py b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..cd494f2aab75e01883b824541f2e92dd751a23d4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/nodes.py
@@ -0,0 +1,881 @@
+import os
+import torch
+import yaml
+import folder_paths
+import comfy.model_management as mm
+import comfy.utils
+import numpy as np
+import cv2
+from tqdm import tqdm
+import gc
+
+import logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+log = logging.getLogger(__name__)
+
+script_directory = os.path.dirname(os.path.abspath(__file__))
+
+from .liveportrait.live_portrait_pipeline import LivePortraitPipeline
+try:
+    from .liveportrait.utils.cropper import CropperMediaPipe
+except:
+    log.warning("Can't load MediaPipe, MediaPipeCropper not available")
+try:
+    from .liveportrait.utils.cropper import CropperInsightFace
+except:
+    log.warning("Can't load MediaPipe, MediaPipeCropper not available")
+try:
+    from .liveportrait.utils.cropper import CropperFaceAlignment
+except:
+    log.warning("Can't load FaceAlignment, CropperFaceAlignment not available")
+
+from .liveportrait.modules.spade_generator import SPADEDecoder
+from .liveportrait.modules.warping_network import WarpingNetwork
+from .liveportrait.modules.motion_extractor import MotionExtractor
+from .liveportrait.modules.appearance_feature_extractor import (
+    AppearanceFeatureExtractor,
+)
+from .liveportrait.modules.stitching_retargeting_network import (
+    StitchingRetargetingNetwork,
+)
+from .liveportrait.utils.camera import get_rotation_matrix
+from .liveportrait.utils.crop import _transform_img_kornia
+
+
+class InferenceConfig:
+    def __init__(
+        self,
+        flag_use_half_precision=True,
+        flag_lip_zero=True,
+        lip_zero_threshold=0.03,
+        flag_eye_retargeting=False,
+        flag_lip_retargeting=False,
+        flag_stitching=True,
+        input_shape=(256, 256),
+        device_id=0,
+        flag_do_rot=True,
+    ):
+        self.flag_use_half_precision = flag_use_half_precision
+        self.flag_lip_zero = flag_lip_zero
+        self.lip_zero_threshold = lip_zero_threshold
+        self.flag_eye_retargeting = flag_eye_retargeting
+        self.flag_lip_retargeting = flag_lip_retargeting
+        self.flag_stitching = flag_stitching
+        self.input_shape = input_shape
+        self.device_id = device_id
+        self.flag_do_rot = flag_do_rot
+        
+class DownloadAndLoadLivePortraitModels:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {},
+            "optional": {
+                "precision": (
+                    [
+                        "fp16",
+                        "fp32",
+                        "auto",
+                    ],
+                    {"default": "auto"},
+                ),
+                "mode": (
+                    [
+                        "human",
+                        "animal",
+                    ],
+                ),
+            },
+        }
+
+    RETURN_TYPES = ("LIVEPORTRAITPIPE",)
+    RETURN_NAMES = ("live_portrait_pipe",)
+    FUNCTION = "loadmodel"
+    CATEGORY = "LivePortrait"
+
+    def loadmodel(self, precision="fp16", mode="human"):
+        device = mm.get_torch_device()
+        mm.soft_empty_cache()
+
+        if precision == 'auto':
+            try:
+                if mm.is_device_mps(device):
+                    log.info("LivePortrait using fp32 for MPS")
+                    dtype = 'fp32'
+                elif mm.should_use_fp16():
+                    log.info("LivePortrait using fp16")
+                    dtype = 'fp16'
+                else:
+                    log.info("LivePortrait using fp32")
+                    dtype = 'fp32'
+            except:
+                raise AttributeError("ComfyUI version too old, can't autodetect properly. Set your dtypes manually.")
+        else:
+            dtype = precision
+            log.info(f"LivePortrait using {dtype}")
+
+        pbar = comfy.utils.ProgressBar(3)
+
+        base_bath = os.path.join(folder_paths.models_dir, "liveportrait")
+        if mode == "human":
+            model_path = base_bath
+        else:
+            model_path = os.path.join(base_bath, "animal")
+      
+        if not os.path.exists(model_path):
+            log.info(f"Downloading model to: {model_path}")
+            from huggingface_hub import snapshot_download
+
+            snapshot_download(
+                repo_id="Kijai/LivePortrait_safetensors",
+                ignore_patterns=["*landmark_model.pth*","*animal*"] if mode == "human" else ["*landmark_model.pth*"],
+                local_dir=base_bath,
+                local_dir_use_symlinks=False,
+            )
+
+        model_config_path = os.path.join(
+            script_directory, "liveportrait", "config", "models.yaml"
+        )
+        with open(model_config_path, "r") as file:
+            model_config = yaml.safe_load(file)
+
+        feature_extractor_path = os.path.join(
+            model_path, "appearance_feature_extractor.safetensors"
+        )
+        motion_extractor_path = os.path.join(model_path, "motion_extractor.safetensors")
+        warping_module_path = os.path.join(model_path, "warping_module.safetensors")
+        spade_generator_path = os.path.join(model_path, "spade_generator.safetensors")
+        stitching_retargeting_path = os.path.join(
+            model_path, "stitching_retargeting_module.safetensors"
+        )
+
+        # init F
+        model_params = model_config["model_params"][
+            "appearance_feature_extractor_params"
+        ]
+        self.appearance_feature_extractor = AppearanceFeatureExtractor(
+            **model_params
+        ).to(device)
+        self.appearance_feature_extractor.load_state_dict(
+            comfy.utils.load_torch_file(feature_extractor_path)
+        )
+        self.appearance_feature_extractor.eval()
+        log.info("Load appearance_feature_extractor done.")
+        pbar.update(1)
+        # init M
+        model_params = model_config["model_params"]["motion_extractor_params"]
+        self.motion_extractor = MotionExtractor(**model_params).to(device)
+        self.motion_extractor.load_state_dict(
+            comfy.utils.load_torch_file(motion_extractor_path)
+        )
+        self.motion_extractor.eval()
+        log.info("Load motion_extractor done.")
+        pbar.update(1)
+        # init W
+        model_params = model_config["model_params"]["warping_module_params"]
+        self.warping_module = WarpingNetwork(**model_params).to(device)
+        self.warping_module.load_state_dict(
+            comfy.utils.load_torch_file(warping_module_path)
+        )
+        self.warping_module.eval()
+        log.info("Load warping_module done.")
+        pbar.update(1)
+        # init G
+        model_params = model_config["model_params"]["spade_generator_params"]
+        self.spade_generator = SPADEDecoder(**model_params).to(device)
+        self.spade_generator.load_state_dict(
+            comfy.utils.load_torch_file(spade_generator_path)
+        )
+        self.spade_generator.eval()
+        log.info("Load spade_generator done.")
+        pbar.update(1)
+
+        def filter_checkpoint_for_model(checkpoint, prefix):
+            """Filter and adjust the checkpoint dictionary for a specific model based on the prefix."""
+            # Create a new dictionary where keys are adjusted by removing the prefix and the model name
+            filtered_checkpoint = {
+                key.replace(prefix + "_module.", ""): value
+                for key, value in checkpoint.items()
+                if key.startswith(prefix)
+            }
+            return filtered_checkpoint
+
+        config = model_config["model_params"]["stitching_retargeting_module_params"]
+        checkpoint = comfy.utils.load_torch_file(stitching_retargeting_path)
+
+        stitcher_prefix = "retarget_shoulder"
+        stitcher_checkpoint = filter_checkpoint_for_model(checkpoint, stitcher_prefix)
+        stitcher = StitchingRetargetingNetwork(**config.get("stitching"))
+        stitcher.load_state_dict(stitcher_checkpoint)
+        stitcher = stitcher.to(device).eval()
+
+        lip_prefix = "retarget_mouth"
+        lip_checkpoint = filter_checkpoint_for_model(checkpoint, lip_prefix)
+        retargetor_lip = StitchingRetargetingNetwork(**config.get("lip"))
+        retargetor_lip.load_state_dict(lip_checkpoint)
+        retargetor_lip = retargetor_lip.to(device).eval()
+
+        eye_prefix = "retarget_eye"
+        eye_checkpoint = filter_checkpoint_for_model(checkpoint, eye_prefix)
+        retargetor_eye = StitchingRetargetingNetwork(**config.get("eye"))
+        retargetor_eye.load_state_dict(eye_checkpoint)
+        retargetor_eye = retargetor_eye.to(device).eval()
+        log.info("Load stitching_retargeting_module done.")
+
+        self.stich_retargeting_module = {
+            "stitching": stitcher,
+            "lip": retargetor_lip,
+            "eye": retargetor_eye,
+        }
+
+        pipeline = LivePortraitPipeline(
+            self.appearance_feature_extractor,
+            self.motion_extractor,
+            self.warping_module,
+            self.spade_generator,
+            self.stich_retargeting_module,
+            InferenceConfig(
+                device_id=device,
+                flag_use_half_precision=True if precision == "fp16" else False,
+            ),
+        )
+
+        return (pipeline,)
+
+
+class LivePortraitProcess:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+
+            "pipeline": ("LIVEPORTRAITPIPE",),
+            "crop_info": ("CROPINFO", {"default": {}}),
+            "source_image": ("IMAGE",),
+            "driving_images": ("IMAGE",),
+            "lip_zero": ("BOOLEAN", {"default": False}),
+            "lip_zero_threshold": ("FLOAT", {"default": 0.03, "min": 0.001, "max": 4.0, "step": 0.001}),
+            "stitching": ("BOOLEAN", {"default": True}),
+            "delta_multiplier": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.001}),
+            "mismatch_method": (
+                    [
+                        "constant",
+                        "cycle",
+                        "mirror",
+                        "cut"
+                    ],
+                    {"default": "constant"},
+                ),
+            
+            "relative_motion_mode": (
+                    [
+                        "relative",
+                        "source_video_smoothed",
+                        "relative_rotation_only",
+                        "single_frame",
+                        "off"
+                    ],
+                ),
+            "driving_smooth_observation_variance": ("FLOAT", {"default": 3e-6, "min": 1e-11, "max": 1e-2, "step": 1e-11}),
+            },
+            
+            "optional": {
+                "opt_retargeting_info": ("RETARGETINGINFO", {"default": None}),
+                "expression_friendly": ("BOOLEAN", {"default": False}),
+                "expression_friendly_multiplier": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 100.0, "step": 0.001}),
+            }
+        }
+
+    RETURN_TYPES = (
+        "IMAGE",
+        "LP_OUT",
+    )
+    RETURN_NAMES = (
+        "cropped_image",
+        "output",
+    )
+    FUNCTION = "process"
+    CATEGORY = "LivePortrait"
+
+    def process(
+        self,
+        source_image: torch.Tensor,
+        driving_images: torch.Tensor,
+        crop_info: dict,
+        pipeline: LivePortraitPipeline,
+        lip_zero: bool,
+        lip_zero_threshold: float,
+        stitching: bool,
+        relative_motion_mode: str,
+        driving_smooth_observation_variance: float,
+        delta_multiplier: float = 1.0,
+        mismatch_method: str = "constant",
+        opt_retargeting_info: dict = None,
+        expression_friendly: bool = False,
+        expression_friendly_multiplier: float = 1.0,
+    ):
+        if driving_images.shape[0] < source_image.shape[0]:
+            raise ValueError("The number of driving images should be larger than the number of source images.")
+        if expression_friendly and source_image.shape[0] > 1:
+            raise ValueError("expression_friendly works only with single source image")
+        
+        if opt_retargeting_info is not None:
+            pipeline.live_portrait_wrapper.cfg.flag_eye_retargeting = opt_retargeting_info["eye_retargeting"]
+            pipeline.live_portrait_wrapper.cfg.eyes_retargeting_multiplier = (opt_retargeting_info["eyes_retargeting_multiplier"])
+            pipeline.live_portrait_wrapper.cfg.flag_lip_retargeting = opt_retargeting_info["lip_retargeting"]
+            pipeline.live_portrait_wrapper.cfg.lip_retargeting_multiplier = (opt_retargeting_info["lip_retargeting_multiplier"])
+            driving_landmarks = opt_retargeting_info["driving_landmarks"]
+        else:
+            pipeline.live_portrait_wrapper.cfg.flag_eye_retargeting = False
+            pipeline.live_portrait_wrapper.cfg.eyes_retargeting_multiplier = 1.0
+            pipeline.live_portrait_wrapper.cfg.flag_lip_retargeting = False
+            pipeline.live_portrait_wrapper.cfg.lip_retargeting_multiplier = 1.0
+            driving_landmarks = None
+
+        pipeline.live_portrait_wrapper.cfg.flag_stitching = stitching
+        pipeline.live_portrait_wrapper.cfg.flag_lip_zero = lip_zero
+        pipeline.live_portrait_wrapper.cfg.lip_zero_threshold = lip_zero_threshold
+
+        if lip_zero and opt_retargeting_info is not None:
+            log.warning("Warning: lip_zero only has an effect with lip or eye retargeting")
+        
+        if driving_images.shape[1] != 256 or driving_images.shape[2] != 256:
+            driving_images_256 = comfy.utils.common_upscale(driving_images.permute(0, 3, 1, 2), 256, 256, "lanczos", "disabled")
+        else:
+            driving_images_256 = driving_images.permute(0, 3, 1, 2)
+
+        if pipeline.live_portrait_wrapper.cfg.flag_use_half_precision:
+            driving_images_256 = driving_images_256.to(torch.float16)
+
+        out = pipeline.execute(
+            driving_images_256, 
+            crop_info, 
+            driving_landmarks,
+            delta_multiplier,
+            relative_motion_mode,
+            driving_smooth_observation_variance,
+            mismatch_method,
+            expression_friendly=expression_friendly,
+            driving_multiplier=expression_friendly_multiplier,
+        )
+
+        total_frames = len(out["out_list"])
+      
+        if total_frames > 1:
+            cropped_image_list = []
+            for i in (range(total_frames)):
+                if not out["out_list"][i]:
+                    cropped_image_list.append(torch.zeros(1, 512, 512, 3, dtype=torch.float32, device = "cpu"))
+                else:
+                    cropped_image = torch.clamp(out["out_list"][i]["out"], 0, 1).permute(0, 2, 3, 1).cpu()
+                    cropped_image_list.append(cropped_image)
+
+            cropped_out_tensors = torch.cat(cropped_image_list, dim=0)
+        else:
+            cropped_out_tensors = torch.clamp(out["out_list"][0]["out"], 0, 1).permute(0, 2, 3, 1)
+      
+        return (cropped_out_tensors, out,)
+    
+class LivePortraitComposite:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+
+            "source_image": ("IMAGE",),
+            "cropped_image": ("IMAGE",),
+            "liveportrait_out": ("LP_OUT", ),
+            },
+            "optional": {
+                "mask": ("MASK", {"default": None}),
+            }
+        }
+
+    RETURN_TYPES = (
+        "IMAGE",
+        "MASK",
+    )
+    RETURN_NAMES = (
+        "full_images",
+        "mask",
+    )
+    FUNCTION = "process"
+    CATEGORY = "LivePortrait"
+
+    def process(self, source_image, cropped_image, liveportrait_out, mask=None):
+        mm.soft_empty_cache()
+        gc.collect()
+        device = mm.get_torch_device()
+        if mm.is_device_mps(device): 
+            device = torch.device('cpu') #this function returns NaNs on MPS, defaulting to CPU
+
+        B, H, W, C = source_image.shape
+        source_image = source_image.permute(0, 3, 1, 2) # B,H,W,C -> B,C,H,W
+        cropped_image = cropped_image.permute(0, 3, 1, 2)
+
+        if mask is not None:
+            if len(mask.size())==2:
+                crop_mask = mask.unsqueeze(0).unsqueeze(-1).expand(-1, -1, -1, 3)
+            else:    
+                crop_mask = mask.unsqueeze(-1).expand(-1, -1, -1, 3)
+        else:
+            log.info("Using default mask template")
+            crop_mask = cv2.imread(os.path.join(script_directory, "liveportrait", "utils", "resources", "mask_template.png"), cv2.IMREAD_COLOR)
+            crop_mask = torch.from_numpy(crop_mask)
+            crop_mask = crop_mask.unsqueeze(0).float() / 255.0
+
+        crop_info = liveportrait_out["crop_info"]
+        composited_image_list = []
+        out_mask_list = []
+
+        total_frames = len(liveportrait_out["out_list"])
+        log.info(f"Total frames: {total_frames}")
+
+        pbar = comfy.utils.ProgressBar(total_frames)
+        for i in tqdm(range(total_frames), desc='Compositing..', total=total_frames):
+            safe_index = min(i, len(crop_info["crop_info_list"]) - 1)
+
+            if liveportrait_out["mismatch_method"] == "cut":
+                source_frame = source_image[safe_index].unsqueeze(0).to(device)
+            else:
+                source_frame = _get_source_frame(source_image, i, liveportrait_out["mismatch_method"]).unsqueeze(0).to(device)
+
+            if not liveportrait_out["out_list"][i]:
+                composited_image_list.append(source_frame.cpu())
+                out_mask_list.append(torch.zeros((1, 3, H, W), device="cpu"))
+            else:
+                cropped_image = torch.clamp(liveportrait_out["out_list"][i]["out"], 0, 1).permute(0, 2, 3, 1)
+
+                # Transform and blend             
+                cropped_image_to_original = _transform_img_kornia(
+                    cropped_image,
+                    crop_info["crop_info_list"][safe_index]["M_c2o"],
+                    dsize=(W, H),
+                    device=device
+                    )
+
+                mask_ori = _transform_img_kornia(
+                    crop_mask[min(i,len(crop_mask)-1)].unsqueeze(0),
+                    crop_info["crop_info_list"][safe_index]["M_c2o"],
+                    dsize=(W, H),
+                    device=device
+                    )
+               
+                cropped_image_to_original_blend = torch.clip(
+                        mask_ori * cropped_image_to_original + (1 - mask_ori) * source_frame, 0, 1
+                        )
+
+                composited_image_list.append(cropped_image_to_original_blend.cpu())
+                out_mask_list.append(mask_ori.cpu())
+            pbar.update(1)
+
+        full_tensors_out = torch.cat(composited_image_list, dim=0)
+        full_tensors_out = full_tensors_out.permute(0, 2, 3, 1)
+
+        mask_tensors_out = torch.cat(out_mask_list, dim=0)
+        mask_tensors_out = mask_tensors_out[:, 0, :, :]
+        
+        return (
+            full_tensors_out.float(), 
+            mask_tensors_out.float()
+            )
+    
+def _get_source_frame(source, idx, method):
+        if source.shape[0] == 1:
+            return source[0]
+
+        if method == "constant":
+            return source[min(idx, source.shape[0] - 1)]
+        elif method == "cycle":
+            return source[idx % source.shape[0]]
+        elif method == "mirror":
+            cycle_length = 2 * source.shape[0] - 2
+            mirror_idx = idx % cycle_length
+            if mirror_idx >= source.shape[0]:
+                mirror_idx = cycle_length - mirror_idx
+            return source[mirror_idx]
+
+class LivePortraitLoadCropper:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+
+            "onnx_device": (
+                    ['CPU', 'CUDA', 'ROCM', 'CoreML'], {
+                        "default": 'CPU'
+                    }),
+            "keep_model_loaded": ("BOOLEAN", {"default": True})
+            },
+            "optional": {
+                "detection_threshold": ("FLOAT", {"default": 0.5, "min": 0.05, "max": 1.0, "step": 0.01}),
+            },
+        }
+
+    RETURN_TYPES = ("LPCROPPER",)
+    RETURN_NAMES = ("cropper",)
+    FUNCTION = "crop"
+    CATEGORY = "LivePortrait"
+
+    def crop(self, onnx_device, keep_model_loaded, detection_threshold=0.5):
+        cropper_init_config = {
+            'keep_model_loaded': keep_model_loaded,
+            'onnx_device': onnx_device,
+            'detection_threshold': detection_threshold
+        }
+        
+        if not hasattr(self, 'cropper') or self.cropper is None or self.current_config != cropper_init_config:
+            self.current_config = cropper_init_config
+            self.cropper = CropperInsightFace(**cropper_init_config)
+
+        return (self.cropper,)
+
+class LivePortraitLoadMediaPipeCropper:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+
+            "landmarkrunner_onnx_device": (
+                    ['CPU', 'CUDA', 'ROCM', 'CoreML', 'torch_gpu'], {
+                        "default": 'CPU'
+                    }),
+            "keep_model_loaded": ("BOOLEAN", {"default": True})
+            },           
+        }
+
+    RETURN_TYPES = ("LPCROPPER",)
+    RETURN_NAMES = ("cropper",)
+    FUNCTION = "crop"
+    CATEGORY = "LivePortrait"
+
+    def crop(self, landmarkrunner_onnx_device, keep_model_loaded):
+        cropper_init_config = {
+            'keep_model_loaded': keep_model_loaded,
+            'onnx_device': landmarkrunner_onnx_device
+        }
+        
+        if not hasattr(self, 'cropper') or self.cropper is None or self.current_config != cropper_init_config:
+            self.current_config = cropper_init_config
+            self.cropper = CropperMediaPipe(**cropper_init_config)
+
+        return (self.cropper,)
+    
+class LivePortraitLoadFaceAlignmentCropper:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "face_detector": (
+                    ['blazeface', 'blazeface_back_camera', 'sfd'], {
+                        "default": 'blazeface_back_camera'
+                    }),
+
+            "landmarkrunner_device": (
+                    ['CPU', 'CUDA', 'ROCM', 'CoreML', 'torch_gpu'], {
+                        "default": 'torch_gpu'
+                    }),
+            "face_detector_device": (
+                    ['cuda', 'cpu', 'mps'], {
+                        "default": 'cuda'
+                    }),
+
+            "face_detector_dtype": (
+                    [
+                        "fp16",
+                        "bf16",
+                        "fp32",
+                    ],
+                    {"default": "fp16"},
+                ),
+            "keep_model_loaded": ("BOOLEAN", {"default": True})
+
+            },           
+        }
+
+    RETURN_TYPES = ("LPCROPPER",)
+    RETURN_NAMES = ("cropper",)
+    FUNCTION = "crop"
+    CATEGORY = "LivePortrait"
+
+    def crop(self, landmarkrunner_device, keep_model_loaded, face_detector, face_detector_device, face_detector_dtype):
+        dtype = {"bf16": torch.bfloat16, "fp16": torch.float16, "fp32": torch.float32}[face_detector_dtype]
+        cropper_init_config = {
+            'keep_model_loaded': keep_model_loaded,
+            'onnx_device': landmarkrunner_device,
+            'face_detector_device': face_detector_device,
+            'face_detector': face_detector,
+            'face_detector_dtype': dtype
+        }
+        
+        if not hasattr(self, 'cropper') or self.cropper is None or self.current_config != cropper_init_config:
+            self.current_config = cropper_init_config
+            self.cropper = CropperFaceAlignment(**cropper_init_config)
+
+        return (self.cropper,)
+    
+class LivePortraitCropper:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "pipeline": ("LIVEPORTRAITPIPE",),
+            "cropper": ("LPCROPPER",),
+            "source_image": ("IMAGE",),
+            "dsize": ("INT", {"default": 512, "min": 64, "max": 2048}),
+            "scale": ("FLOAT", {"default": 2.3, "min": 1.0, "max": 4.0, "step": 0.01}),
+            "vx_ratio": ("FLOAT", {"default": 0.0, "min": -1.0, "max": 1.0, "step": 0.001}),
+            "vy_ratio": ("FLOAT", {"default": -0.125, "min": -1.0, "max": 1.0, "step": 0.001}),
+            "face_index": ("INT", {"default": 0, "min": 0, "max": 100}),
+            "face_index_order": (
+                    [
+                        'large-small', 
+                        'left-right', 
+                        'right-left',
+                        'top-bottom',
+                        'bottom-top',
+                        'small-large',
+                        'distance-from-retarget-face'
+                     ],
+                    ),
+            "rotate": ("BOOLEAN", {"default": True}),
+            },           
+        }
+
+    RETURN_TYPES = ("IMAGE", "CROPINFO",)
+    RETURN_NAMES = ("cropped_image", "crop_info",)
+    FUNCTION = "process"
+    CATEGORY = "LivePortrait"
+
+    def process(self, pipeline, cropper, source_image, dsize, scale, vx_ratio, vy_ratio, face_index, face_index_order, rotate):
+        source_image_np = (source_image.contiguous() * 255).byte().numpy()
+
+        # Initialize lists
+        crop_info_list = []
+        cropped_images_list = []
+        source_info = []
+        source_rot_list = []
+        f_s_list = []
+        x_s_list = []
+        
+        # Initialize a progress bar for the combined operation
+        pbar = comfy.utils.ProgressBar(len(source_image_np))
+        for i in tqdm(range(len(source_image_np)), desc='Detecting, cropping, and processing..', total=len(source_image_np)):
+            # Cropping operation
+            crop_info, cropped_image_256 = cropper.crop_single_image(source_image_np[i], dsize, scale, vy_ratio, vx_ratio, face_index, face_index_order, rotate)
+            
+            # Processing source images
+            if crop_info:
+                crop_info_list.append(crop_info)
+
+                cropped_images_list.append(cropped_image_256)
+
+                I_s = pipeline.live_portrait_wrapper.prepare_source(cropped_image_256)
+
+                x_s_info = pipeline.live_portrait_wrapper.get_kp_info(I_s)
+                source_info.append(x_s_info)
+
+                x_s = pipeline.live_portrait_wrapper.transform_keypoint(x_s_info)
+                x_s_list.append(x_s)
+
+                R_s = get_rotation_matrix(x_s_info["pitch"], x_s_info["yaw"], x_s_info["roll"])
+                source_rot_list.append(R_s)
+
+                f_s = pipeline.live_portrait_wrapper.extract_feature_3d(I_s)
+                f_s_list.append(f_s)
+
+                del I_s
+                
+            else:
+                log.warning(f"Warning: No face detected on frame {str(i)}, skipping") 
+                cropped_images_list.append(np.zeros((256, 256, 3), dtype=np.uint8))
+                crop_info_list.append(None)
+                f_s_list.append(None)
+                x_s_list.append(None)
+                source_info.append(None)
+                source_rot_list.append(None)
+        
+            # Update progress bar
+            pbar.update(1)
+        
+        cropped_tensors_out = (
+            torch.stack([torch.from_numpy(np_array) for np_array in cropped_images_list])
+            / 255
+        )
+        
+        crop_info_dict = {
+            'crop_info_list': crop_info_list,
+            'source_rot_list': source_rot_list,
+            'f_s_list': f_s_list,
+            'x_s_list': x_s_list,
+            'source_info': source_info
+        }
+
+        return (cropped_tensors_out, crop_info_dict)
+
+class LivePortraitRetargeting:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "driving_crop_info": ("CROPINFO", {"default": []}),
+            "eye_retargeting": ("BOOLEAN", {"default": False}),
+            "eyes_retargeting_multiplier": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 10.0, "step": 0.001}),
+            "lip_retargeting": ("BOOLEAN", {"default": False}),
+            "lip_retargeting_multiplier": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 10.0, "step": 0.001}),
+            },
+        }
+
+    RETURN_TYPES = ("RETARGETINGINFO",)
+    RETURN_NAMES = ("retargeting_info",)
+    FUNCTION = "process"
+    CATEGORY = "LivePortrait"
+
+    def process(self, driving_crop_info, eye_retargeting, eyes_retargeting_multiplier, lip_retargeting, lip_retargeting_multiplier):
+
+        driving_landmarks = []
+        for crop in driving_crop_info["crop_info_list"]:
+            driving_landmarks.append(crop['lmk_crop'])
+                          
+        retargeting_info = {
+            'eye_retargeting': eye_retargeting,
+            'eyes_retargeting_multiplier': eyes_retargeting_multiplier,
+            'lip_retargeting': lip_retargeting,
+            'lip_retargeting_multiplier': lip_retargeting_multiplier,
+            'driving_landmarks': driving_landmarks
+        }
+
+        return (retargeting_info,)
+
+
+class KeypointsToImage:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "crop_info": ("CROPINFO", {"default": []}),
+            "draw_lines": ("BOOLEAN", {"default": False}),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("keypoints_image",)
+    FUNCTION = "drawkeypoints"
+    CATEGORY = "LivePortrait"
+
+    def drawkeypoints(self, crop_info, draw_lines):
+        #           left upper eye | left lower eye | right upper eye | right lower eye | upper lip top | lower lip bottom | upper lip bottom | lower lip top | jawline         | left eyebrow | right eyebrow | nose            | left pupil    | right pupil  |  nose center
+        indices = [                  12,               24,              37,               48,             66,                85,                96,             108,              145,           165,            185,             197,             198,            199,          203]
+        colorlut = [(0, 0, 255),     (0, 255, 0),     (0, 0, 255),      (0, 255, 0),      (255, 0, 0),    (255, 0, 255),     (255, 255, 0),     (0, 255, 255),  (128, 128, 128), (128, 128, 0), (128, 128, 0),   (0,128,128),    (255, 255,255),   (255, 255,255), (255,255,255)]
+        colors = []
+        c = 0
+        for i in range(203):
+            if i == indices[c]:
+                c+=1
+            colors.append(colorlut[c])
+        try:
+            height, width = crop_info["crop_info_list"][0]['input_image_size']
+        except:
+            height, width = 512, 512
+        keypoints_img_list = []
+        pbar = comfy.utils.ProgressBar(len(crop_info))
+        for crop in crop_info["crop_info_list"]:
+            if crop:
+                keypoints = crop['lmk_crop'].copy()
+                blank_image = np.zeros((height, width, 3), dtype=np.uint8) * 255
+                
+                if draw_lines:
+                    start_idx = 0
+                    for end_idx in indices:
+                        color = colors[start_idx]
+                        for i in range(start_idx, end_idx - 1):
+                            pt1 = tuple(map(int, keypoints[i]))
+                            pt2 = tuple(map(int, keypoints[i+1]))
+                            if all(0 <= c < d for c, d in zip(pt1 + pt2, (width, height) * 2)):
+                                cv2.line(blank_image, pt1, pt2, color, thickness=1)
+                        if end_idx == start_idx +1:
+                            x,y = keypoints[start_idx]
+                            cv2.circle(blank_image, (int(x), int(y)), radius=1, thickness=-1, color=colors[start_idx])
+                              
+                        start_idx = end_idx
+                else:
+                    for index, (x, y) in enumerate(keypoints):
+                        cv2.circle(blank_image, (int(x), int(y)), radius=1, thickness=-1, color=colors[index])
+                
+                keypoints_image = cv2.cvtColor(blank_image, cv2.COLOR_BGR2RGB)
+            else:
+                keypoints_image = np.zeros((height, width, 3), dtype=np.uint8) * 255
+            keypoints_img_list.append(keypoints_image)
+            pbar.update(1)
+
+        keypoints_img_tensor = (
+            torch.stack([torch.from_numpy(np_array) for np_array in keypoints_img_list]) / 255).float()
+
+        return (keypoints_img_tensor,)
+
+class KeypointScaler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                "crop_info": ("CROPINFO", {"default": {}}),
+                "scale": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 10.0, "step": 0.001}),
+                "offset_x": ("INT", {"default": 0, "min": -1024, "max": 1024, "step": 1}),
+                "offset_y": ("INT", {"default": 0, "min": -1024, "max": 1024, "step": 1}),
+
+            }
+        }
+
+    RETURN_TYPES = ("CROPINFO", "IMAGE",)
+    RETURN_NAMES = ("crop_info", "keypoints_image",)
+    FUNCTION = "process"
+    CATEGORY = "LivePortrait"
+
+    def process(self, crop_info, offset_x, offset_y, scale):
+
+        keypoints = crop_info['crop_info']['lmk_crop'].copy()
+
+        # Create an offset array
+        # Calculate the centroid of the keypoints
+        centroid = keypoints.mean(axis=0)
+
+        # Translate keypoints to origin by subtracting the centroid
+        translated_keypoints = keypoints - centroid
+
+        # Scale the translated keypoints
+        scaled_keypoints = translated_keypoints * scale
+
+        # Translate scaled keypoints back to original position and then apply the offset
+        final_keypoints = scaled_keypoints + centroid + np.array([offset_x, offset_y])
+
+        crop_info['crop_info']['lmk_crop'] = final_keypoints #fix this
+
+        # Draw each landmark as a circle
+        width, height = 512, 512
+        blank_image = np.zeros((height, width, 3), dtype=np.uint8) * 255
+        for (x, y) in final_keypoints:
+            # Ensure the coordinates are within the dimensions of the blank image
+            if 0 <= x < width and 0 <= y < height:
+                cv2.circle(blank_image, (int(x), int(y)), radius=2, color=(0, 0, 255))
+
+        keypoints_image = cv2.cvtColor(blank_image, cv2.COLOR_BGR2RGB)
+        keypoints_image_tensor = torch.from_numpy(keypoints_image) / 255
+        keypoints_image_tensor = keypoints_image_tensor.unsqueeze(0).cpu().float()
+        
+        return (crop_info, keypoints_image_tensor,)
+
+NODE_CLASS_MAPPINGS = {
+    "DownloadAndLoadLivePortraitModels": DownloadAndLoadLivePortraitModels,
+    "LivePortraitProcess": LivePortraitProcess,
+    "LivePortraitCropper": LivePortraitCropper,
+    "LivePortraitRetargeting": LivePortraitRetargeting,
+    #"KeypointScaler": KeypointScaler,
+    "KeypointsToImage": KeypointsToImage,
+    "LivePortraitLoadCropper": LivePortraitLoadCropper,
+    "LivePortraitLoadMediaPipeCropper": LivePortraitLoadMediaPipeCropper,
+    "LivePortraitLoadFaceAlignmentCropper": LivePortraitLoadFaceAlignmentCropper,
+    "LivePortraitComposite": LivePortraitComposite,
+}
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "DownloadAndLoadLivePortraitModels": "(Down)Load LivePortraitModels",
+    "LivePortraitProcess": "LivePortrait Process",
+    "LivePortraitCropper": "LivePortrait Cropper",
+    "LivePortraitRetargeting": "LivePortrait Retargeting",
+    #"KeypointScaler": "KeypointScaler",
+    "KeypointsToImage": "LivePortrait KeypointsToImage",
+    "LivePortraitLoadCropper": "LivePortrait Load InsightFaceCropper",
+    "LivePortraitLoadMediaPipeCropper": "LivePortrait Load MediaPipeCropper",
+    "LivePortraitLoadFaceAlignmentCropper": "LivePortrait Load FaceAlignmentCropper",
+    "LivePortraitComposite": "LivePortrait Composite",
+    }
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/pyproject.toml b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..4e84c449df191fc0933a5fac64621792918a8638
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/pyproject.toml
@@ -0,0 +1,15 @@
+[project]
+name = "comfyui-liveportraitkj"
+description = "Nodes for [a/LivePortrait](https://github.com/KwaiVGI/LivePortrait)"
+version = "1.1.0"
+license = { text = "MIT License" }
+dependencies = ["pyyaml", "numpy", "opencv-python", "rich"]
+
+[project.urls]
+Repository = "https://github.com/kijai/ComfyUI-LivePortraitKJ"
+#  Used by Comfy Registry https://comfyregistry.org
+
+[tool.comfy]
+PublisherId = "kijai"
+DisplayName = "ComfyUI-LivePortraitKJ"
+Icon = ""
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/readme.md b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/readme.md
new file mode 100644
index 0000000000000000000000000000000000000000..aa4b5a0b89850e66a2a7b106a926a9f1936310b7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/readme.md
@@ -0,0 +1,80 @@
+# ComfyUI nodes to use [LivePortrait](https://github.com/KwaiVGI/LivePortrait)
+## Update 2
+
+Added another alternative face detector: https://github.com/1adrianb/face-alignment
+
+![image](https://github.com/user-attachments/assets/1a77752a-9688-4b6f-9363-736367ad711a)
+
+As this can use blazeface back camera model (or SFD), it's far better for smaller faces than MediaPipe, that only can use the blazeface short -model.
+The warmup on the first run when using this can take a long time, but subsequent runs are quick.
+
+Example detection using the blazeface_back_camera:
+
+https://github.com/user-attachments/assets/40b1fdb4-0b1f-4ea8-8322-aa9151055db0
+
+## Update
+
+Rework of almost the whole thing that's been in develop is now merged into main, this means old workflows will not work, but everything should be faster and there's lots of new features.
+For legacy purposes the old main branch is moved to the legacy -branch
+
+Changes
+- Added MediaPipe as alternative to Insightface, everything should now be covered under MIT and Apache-2.0 licenses when using it.
+- Proper Vid2vid including smoothing algorhitm (thanks @melMass)
+- Improved speed and efficiency, allows for near realtime view even in Comfy (~80-100ms delay)
+- Restructured nodes for more options
+- Auto skipping frames with no face detected
+- Numerous other things I have forgotten about at this point, it's been a lot
+- Better Mac support on MPS (thanks @Grant-CP
+
+update to this update:
+- converted the landmark runner onnx model to torch model, not something I have done before and I didn't manage to do anything but make it .pth file, so you'll just have to trust me on it.
+  This allows running all this without even having onnxruntime, it runs on GPU and is about just as fast. It's available on the MediaPipe cropper node as option:
+When selected it's automatically downloaded from here: https://huggingface.co/Kijai/LivePortrait_safetensors/blob/main/landmark_model.pth
+
+![image](https://github.com/user-attachments/assets/c547f55a-9ef7-4bc7-85df-cdbab69a3ca8)
+
+
+# Examples:
+
+Realtime with webcam feed:
+
+https://github.com/user-attachments/assets/31f77c10-b757-44ae-bb26-39e45ec0b2d9
+
+Image2vid:
+
+https://github.com/user-attachments/assets/cfec0419-d1eb-4e67-8913-890eeb155eef
+
+Vid2Vid: 
+
+https://github.com/user-attachments/assets/28438fcb-fbb0-4e4e-baf4-00fe06c455de
+
+
+I have converted all the pickle files to safetensors: https://huggingface.co/Kijai/LivePortrait_safetensors/tree/main
+
+They go here (and are automatically downloaded if the folder is not present) `ComfyUI/models/liveportrait`
+
+# Face detectors
+
+You can either use the original default Insightface, or Google's MediaPipe. 
+
+Biggest difference is the license: Insightface is strictly for NON-COMMERCIAL use.
+MediaPipe is a bit worse at detection, and can't run on GPU in Windows, though it's much faster on CPU compared to Insightface
+
+Insightface is not automatically installed, if you wish to use it follow these instructions:
+If you have a working compile environment, installing it can be as easy as:
+
+`pip install insightface`
+
+or for the portable version, in the ComfyUI_windows_portable -folder:
+
+`python_embeded/python.exe -m pip install insightface`
+
+If this fails (and it's likely), you can check the Troubleshooting part of the reactor node for alternative:
+
+https://github.com/Gourieff/comfyui-reactor-node
+
+For insightface model, extract this to `ComfyUI/models/insightface/buffalo_l`:
+
+https://github.com/deepinsight/insightface/releases/download/v0.7/buffalo_l.zip
+
+*Please note that insightface license is non-commercial in nature.*
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/requirements-mac.txt b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/requirements-mac.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ab73e1def59fbf96db4158b49f508128f20190a2
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/requirements-mac.txt
@@ -0,0 +1,7 @@
+pyyaml
+numpy<=1.26.4
+opencv-python
+onnxruntime
+pykalman
+mediapipe
+onnx2torch
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/requirements.txt b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..71e41ad2346ff21e284ec9d6f1140c2ebaf0e46b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-LivePortraitKJ/requirements.txt
@@ -0,0 +1,7 @@
+pyyaml
+numpy<=1.26.4
+opencv-python
+onnxruntime-gpu
+pykalman
+mediapipe
+onnx2torch
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/.cache_directory b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/.cache_directory
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/1241942342_custom-node-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/1241942342_custom-node-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ab530a9a4186f6f8667355a9c2ba157efc58c4d
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/1241942342_custom-node-list.json
@@ -0,0 +1,14708 @@
+{
+    "custom_nodes": [
+        {
+            "author": "Dr.Lt.Data",
+            "description": "ComfyUI-Manager itself is also a custom node.",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-Manager"
+            ],
+            "id": "manager",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Manager",
+            "title": "ComfyUI-Manager"
+        },
+        {
+            "author": "Dr.Lt.Data",
+            "description": "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler.",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-Impact-Pack"
+            ],
+            "id": "impact",
+            "install_type": "git-clone",
+            "pip": [
+                "ultralytics"
+            ],
+            "preemptions": [
+                "SAMLoader"
+            ],
+            "reference": "https://github.com/ltdrdata/ComfyUI-Impact-Pack",
+            "title": "ComfyUI Impact Pack"
+        },
+        {
+            "author": "Dr.Lt.Data",
+            "description": "This extension provides various nodes to support Lora Block Weight and the Impact Pack. Provides many easily applicable regional features and applications for Variation Seed.",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-Inspire-Pack"
+            ],
+            "id": "inspire",
+            "install_type": "git-clone",
+            "nodename_pattern": "Inspire$",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Inspire-Pack",
+            "title": "ComfyUI Inspire Pack"
+        },
+        {
+            "author": "comfyanonymous",
+            "description": "Nodes: ModelSamplerTonemapNoiseTest, TonemapNoiseWithRescaleCFG, ReferenceOnlySimple, RescaleClassifierFreeGuidanceTest, ModelMergeBlockNumber, ModelMergeSDXL, ModelMergeSDXLTransformers, ModelMergeSDXLDetailedTransformers.",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_experiments"
+            ],
+            "id": "comfy-exp",
+            "install_type": "git-clone",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
+            "title": "ComfyUI_experiments"
+        },
+        {
+            "author": "comfyanonymous",
+            "description": "This node enables the best performance on NVIDIA RTX\u2122 Graphics Cards  (GPUs) for Stable Diffusion by leveraging NVIDIA TensorRT.",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_TensorRT"
+            ],
+            "id": "tensorrt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_TensorRT",
+            "title": "TensorRT Node for ComfyUI"
+        },
+        {
+            "author": "Stability-AI",
+            "description": "Nodes:Stability SD3, Stability Outpainting, Stability Search and Replace, Stability Image Core, Stability Inpainting, Stability Remove Background, Stability Creative Upscale.\nAdd API key to environment variable 'SAI_API_KEY'\nAlternatively you can write your API key to file 'sai_platform_key.txt'\nYou can also use and/or override the above by entering your API key in the 'api_key_override' field of each node.",
+            "files": [
+                "https://github.com/Stability-AI/ComfyUI-SAI_API"
+            ],
+            "id": "sai-api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Stability-AI/ComfyUI-SAI_API",
+            "title": "Stability API nodes for ComfyUI"
+        },
+        {
+            "author": "Stability-AI",
+            "description": "Nodes: ColorBlend, ControlLoraSave, GetImageSize. NOTE: Control-LoRA recolor example uses these nodes.",
+            "files": [
+                "https://github.com/Stability-AI/stability-ComfyUI-nodes"
+            ],
+            "id": "sai-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Stability-AI/stability-ComfyUI-nodes",
+            "title": "stability-ComfyUI-nodes"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "Plug-and-play ComfyUI node sets for making ControlNet hint images.",
+            "files": [
+                "https://github.com/Fannovel16/comfyui_controlnet_aux"
+            ],
+            "id": "comfyui_controlnet_aux",
+            "install_type": "git-clone",
+            "preemptions": [
+                "AIO_Preprocessor",
+                "AnimalPosePreprocessor",
+                "AnimeFace_SemSegPreprocessor",
+                "AnimeLineArtPreprocessor",
+                "BAE-NormalMapPreprocessor",
+                "BinaryPreprocessor",
+                "CannyEdgePreprocessor",
+                "ColorPreprocessor",
+                "DSINE-NormalMapPreprocessor",
+                "DWPreprocessor",
+                "DensePosePreprocessor",
+                "DepthAnythingPreprocessor",
+                "DiffusionEdge_Preprocessor",
+                "FacialPartColoringFromPoseKps",
+                "FakeScribblePreprocessor",
+                "HEDPreprocessor",
+                "HintImageEnchance",
+                "ImageGenResolutionFromImage",
+                "ImageGenResolutionFromLatent",
+                "ImageIntensityDetector",
+                "ImageLuminanceDetector",
+                "InpaintPreprocessor",
+                "LeReS-DepthMapPreprocessor",
+                "LineArtPreprocessor",
+                "LineartStandardPreprocessor",
+                "M-LSDPreprocessor",
+                "Manga2Anime_LineArt_Preprocessor",
+                "MaskOptFlow",
+                "MediaPipe-FaceMeshPreprocessor",
+                "MeshGraphormer-DepthMapPreprocessor",
+                "MiDaS-DepthMapPreprocessor",
+                "MiDaS-NormalMapPreprocessor",
+                "OneFormer-ADE20K-SemSegPreprocessor",
+                "OneFormer-COCO-SemSegPreprocessor",
+                "OpenposePreprocessor",
+                "PiDiNetPreprocessor",
+                "PixelPerfectResolution",
+                "SAMPreprocessor",
+                "SavePoseKpsAsJsonFile",
+                "ScribblePreprocessor",
+                "Scribble_XDoG_Preprocessor",
+                "SemSegPreprocessor",
+                "ShufflePreprocessor",
+                "TEEDPreprocessor",
+                "TilePreprocessor",
+                "UniFormer-SemSegPreprocessor",
+                "Unimatch_OptFlowPreprocessor",
+                "Zoe-DepthMapPreprocessor",
+                "Zoe_DepthAnythingPreprocessor"
+            ],
+            "reference": "https://github.com/Fannovel16/comfyui_controlnet_aux",
+            "title": "ComfyUI's ControlNet Auxiliary Preprocessors"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "A custom node suite for Video Frame Interpolation in ComfyUI",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-Frame-Interpolation"
+            ],
+            "id": "frame-interpolation",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fannovel16/ComfyUI-Frame-Interpolation",
+            "title": "ComfyUI Frame Interpolation"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "A collection of nodes which can be useful for animation in ComfyUI. The main focus of this extension is implementing a mechanism called loopchain. A loopchain in this case is the chain of nodes only executed repeatly in the workflow. If a node chain contains a loop node from this extension, it will become a loop chain.",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-Loopchain"
+            ],
+            "id": "loopchain",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fannovel16/ComfyUI-Loopchain",
+            "title": "ComfyUI Loopchain"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "Implementation of MDM, MotionDiffuse and ReMoDiffuse into ComfyUI.",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-MotionDiff"
+            ],
+            "id": "motiondiff",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fannovel16/ComfyUI-MotionDiff",
+            "title": "ComfyUI MotionDiff"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "A minimalistic implementation of [a/Robust Video Matting (RVM)](https://github.com/PeterL1n/RobustVideoMatting/) in ComfyUI",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-Video-Matting"
+            ],
+            "id": "video-matting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fannovel16/ComfyUI-Video-Matting",
+            "title": "ComfyUI-Video-Matting"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "Proper implementation of ImageMagick - the famous software suite for editing and manipulating digital images to ComfyUI using [a/wandpy](https://github.com/emcconville/wand).\nNOTE: You need to install ImageMagick, manually.",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-MagickWand"
+            ],
+            "id": "magicwand",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fannovel16/ComfyUI-MagickWand",
+            "title": "ComfyUI-MagickWand"
+        },
+        {
+            "author": "time-river",
+            "description": "The CLIPSeg node generates a binary mask for a given input image and text prompt.\nNOTE:This custom node is a forked custom node with hotfixes applied from the [a/original repository](https://github.com/biegert/ComfyUI-CLIPSeg), which is no longer maintained.",
+            "files": [
+                "https://github.com/time-river/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py"
+            ],
+            "id": "clipseg",
+            "install_type": "copy",
+            "reference": "https://github.com/time-river/ComfyUI-CLIPSeg",
+            "title": "CLIPSeg"
+        },
+        {
+            "author": "BlenderNeko",
+            "description": "These custom nodes provides features that allow for better control over the effects of the text prompt.",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_Cutoff"
+            ],
+            "id": "cutoff",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_Cutoff",
+            "title": "ComfyUI Cutoff"
+        },
+        {
+            "author": "BlenderNeko",
+            "description": "Advanced CLIP Text Encode (if you need A1111 like prompt. you need this. But Cutoff node includes this feature, already.)",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb"
+            ],
+            "id": "adv-encode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb",
+            "title": "Advanced CLIP Text Encode"
+        },
+        {
+            "author": "BlenderNeko",
+            "description": "This extension contains 6 nodes for ComfyUI that allows for more control and flexibility over the noise.",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_Noise"
+            ],
+            "id": "comfy-noise",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_Noise",
+            "title": "ComfyUI Noise"
+        },
+        {
+            "author": "BlenderNeko",
+            "description": "This extension contains a tiled sampler for ComfyUI. It allows for denoising larger images by splitting it up into smaller tiles and denoising these. It tries to minimize any seams for showing up in the end result by gradually denoising all tiles one step at the time and randomizing tile positions for every step.",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_TiledKSampler"
+            ],
+            "id": "tiled-sampling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_TiledKSampler",
+            "title": "Tiled sampling for ComfyUI"
+        },
+        {
+            "author": "BlenderNeko",
+            "description": "It provides the capability to generate CLIP from an image input, unlike unCLIP, which works in all models. (To use this extension, you need to download the required model file from **Install Models**)",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_SeeCoder"
+            ],
+            "id": "seecoder",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_SeeCoder",
+            "title": "SeeCoder [WIP]"
+        },
+        {
+            "author": "jags111",
+            "description": "A collection of ComfyUI custom nodes to help streamline workflows and reduce total node count.[w/NOTE: This node is originally created by LucianoCirino, but the [a/original repository](https://github.com/LucianoCirino/efficiency-nodes-comfyui) is no longer maintained and has been forked by a new maintainer. To use the forked version, you should uninstall the original version and **REINSTALL** this one.]",
+            "files": [
+                "https://github.com/jags111/efficiency-nodes-comfyui"
+            ],
+            "id": "eff-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jags111/efficiency-nodes-comfyui",
+            "title": "Efficiency Nodes for ComfyUI Version 2.0+"
+        },
+        {
+            "author": "jags111",
+            "description": "a collection of nodes to explore Vector and image manipulation",
+            "files": [
+                "https://github.com/jags111/ComfyUI_Jags_VectorMagic"
+            ],
+            "id": "vectormagic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jags111/ComfyUI_Jags_VectorMagic",
+            "title": "Jags_VectorMagic"
+        },
+        {
+            "author": "jags111",
+            "description": "This extension offers various audio generation tools",
+            "files": [
+                "https://github.com/jags111/ComfyUI_Jags_Audiotools"
+            ],
+            "id": "audiotools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jags111/ComfyUI_Jags_Audiotools",
+            "title": "Jags_Audiotools"
+        },
+        {
+            "author": "Derfuu",
+            "description": "Automate calculation depending on image sizes or something you want.",
+            "files": [
+                "https://github.com/Derfuu/Derfuu_ComfyUI_ModdedNodes"
+            ],
+            "id": "derfuu",
+            "install_type": "git-clone",
+            "nodename_pattern": "^DF_",
+            "reference": "https://github.com/Derfuu/Derfuu_ComfyUI_ModdedNodes",
+            "title": "Derfuu_ComfyUI_ModdedNodes"
+        },
+        {
+            "apt_dependency": [
+                "rustc",
+                "cargo"
+            ],
+            "author": "paulo-coronado",
+            "description": "CLIPTextEncodeBLIP: This custom node provides a CLIP Encoder that is capable of receiving images as input.",
+            "files": [
+                "https://github.com/paulo-coronado/comfy_clip_blip_node"
+            ],
+            "id": "blip",
+            "install_type": "git-clone",
+            "reference": "https://github.com/paulo-coronado/comfy_clip_blip_node",
+            "title": "comfy_clip_blip_node"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "A node suite for ComfyUI with many new nodes, such as image processing, text processing, and more.",
+            "files": [
+                "https://github.com/WASasquatch/was-node-suite-comfyui"
+            ],
+            "id": "was",
+            "install_type": "git-clone",
+            "pip": [
+                "numba"
+            ],
+            "reference": "https://github.com/WASasquatch/was-node-suite-comfyui",
+            "title": "WAS Node Suite"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "Nodes: ModelMergeByPreset. Merge checkpoint models by preset",
+            "files": [
+                "https://github.com/WASasquatch/ComfyUI_Preset_Merger"
+            ],
+            "id": "preset-merger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/ComfyUI_Preset_Merger",
+            "title": "ComfyUI Preset Merger"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "Nodes: WAS_PFN_Latent. Perlin Power Fractal Noisey Latents",
+            "files": [
+                "https://github.com/WASasquatch/PPF_Noise_ComfyUI"
+            ],
+            "id": "ppf",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/PPF_Noise_ComfyUI",
+            "title": "PPF_Noise_ComfyUI"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "Power Noise Suite contains nodes centered around latent noise input, and diffusion, as well as latent adjustments.",
+            "files": [
+                "https://github.com/WASasquatch/PowerNoiseSuite"
+            ],
+            "id": "power-noise",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/PowerNoiseSuite",
+            "title": "Power Noise Suite for ComfyUI"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "This custom node provides advanced settings for FreeU.",
+            "files": [
+                "https://github.com/WASasquatch/FreeU_Advanced"
+            ],
+            "id": "freeu-adv",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/FreeU_Advanced",
+            "title": "FreeU_Advanced"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "Abstract Syntax Trees Evaluated Restricted Run (ASTERR) is a Python Script executor for ComfyUI. [w/Warning:ASTERR runs Python Code from a Web Interface! It is highly recommended to run this in a closed-off environment, as it could have potential security risks.]",
+            "files": [
+                "https://github.com/WASasquatch/ASTERR"
+            ],
+            "id": "asterr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/ASTERR",
+            "title": "ASTERR"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "Nodes:Conditioning (Blend), Inpainting VAE Encode (WAS), VividSharpen. Experimental nodes, or other random extra helper nodes.",
+            "files": [
+                "https://github.com/WASasquatch/WAS_Extras"
+            ],
+            "id": "was-extras",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/WAS_Extras",
+            "title": "WAS_Extras"
+        },
+        {
+            "author": "SaltAI",
+            "description": "This repository is a collection of open-source nodes and workflows for ComfyUI, a dev tool that allows users to create node-based workflows often powered by various AI models to do pretty much anything.\nOur mission is to seamlessly connect people and organizations with the world\u2019s foremost AI innovations, anywhere, anytime. Our vision is to foster a flourishing AI ecosystem where the world\u2019s best developers can build and share their work, thereby redefining how software is made, pushing innovation forward, and ensuring as many people as possible can benefit from the positive promise of AI technologies.\nWe believe that ComfyUI is a powerful tool that can help us achieve our mission and vision, by enabling anyone to explore the possibilities and limitations of AI models in a visual and interactive way, without coding if desired.\nWe hope that by sharing our nodes and workflows, we can inspire and empower more people to create amazing AI-powered content with ComfyUI.",
+            "files": [
+                "https://github.com/get-salt-AI/SaltAI"
+            ],
+            "id": "saltai-open-resource",
+            "install_type": "git-clone",
+            "pip": [
+                "numba"
+            ],
+            "reference": "https://github.com/get-salt-AI/SaltAI",
+            "title": "SaltAI-Open-Resources"
+        },
+        {
+            "author": "SaltAI",
+            "description": "The project integrates the Retrieval Augmented Generation (RAG) tool [a/Llama-Index](https://www.llamaindex.ai/), [a/Microsoft's AutoGen](https://microsoft.github.io/autogen/), and [a/LlaVA-Next](https://github.com/LLaVA-VL/LLaVA-NeXT) with ComfyUI's adaptable node interface, enhancing the functionality and user experience of the platform.",
+            "files": [
+                "https://github.com/get-salt-AI/SaltAI_Language_Toolkit"
+            ],
+            "id": "saltai_language_toolkit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/get-salt-AI/SaltAI_Language_Toolkit",
+            "title": "SaltAI_Language_Toolkit"
+        },
+        {
+            "author": "omar92",
+            "description": "openAI suite, String suite, Latent Tools, Image Tools: These custom nodes provide expanded functionality for image and string processing, latent processing, as well as the ability to interface with models such as ChatGPT/DallE-2.\nNOTE: Currently, this extension does not support the new OpenAI API, leading to compatibility issues.",
+            "files": [
+                "https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92"
+            ],
+            "id": "qol",
+            "install_type": "git-clone",
+            "reference": "https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92",
+            "title": "Quality of life Suit:V2"
+        },
+        {
+            "author": "lilly1987",
+            "description": "These custom nodes provides a feature to insert arbitrary inputs through wildcards in the prompt. Additionally, this tool provides features that help simplify workflows, such as VAELoaderDecoder and SimplerSample.",
+            "files": [
+                "https://github.com/lilly1987/ComfyUI_node_Lilly"
+            ],
+            "id": "simle-wildcard",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lilly1987/ComfyUI_node_Lilly",
+            "title": "simple wildcard for ComfyUI"
+        },
+        {
+            "author": "sylym",
+            "description": "A node suite for ComfyUI that allows you to load image sequence and generate new image sequence with different styles or content.",
+            "files": [
+                "https://github.com/sylym/comfy_vid2vid"
+            ],
+            "id": "vid2vid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/sylym/comfy_vid2vid",
+            "title": "Vid2vid"
+        },
+        {
+            "author": "EllangoK",
+            "description": "A collection of post processing nodes for ComfyUI, simply download this repo and drag.",
+            "files": [
+                "https://github.com/EllangoK/ComfyUI-post-processing-nodes"
+            ],
+            "id": "post-processing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/EllangoK/ComfyUI-post-processing-nodes",
+            "title": "ComfyUI-post-processing-nodes"
+        },
+        {
+            "author": "LEv145",
+            "description": "This tool provides a viewer node that allows for checking multiple outputs in a grid, similar to the X/Y Plot extension.",
+            "files": [
+                "https://github.com/LEv145/images-grid-comfy-plugin"
+            ],
+            "id": "imagesgrid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/LEv145/images-grid-comfy-plugin",
+            "title": "ImagesGrid"
+        },
+        {
+            "author": "diontimmer",
+            "description": "Nodes: Pixel Sort, Swap Color Mode, Solid Color, Glitch This, Add Text To Image, Play Sound, Prettify Prompt, Generate Noise, Flatten Colors",
+            "files": [
+                "https://github.com/diontimmer/ComfyUI-Vextra-Nodes"
+            ],
+            "id": "vextra",
+            "install_type": "git-clone",
+            "reference": "https://github.com/diontimmer/ComfyUI-Vextra-Nodes",
+            "title": "ComfyUI-Vextra-Nodes"
+        },
+        {
+            "author": "CYBERLOOM-INC",
+            "description": "Provide various custom nodes for Latent, Sampling, Model, Loader, Image, Text. This is the fixed version of the original [a/ComfyUI-nodes-hnmr](https://github.com/hnmr293/ComfyUI-nodes-hnmr) by hnmr293.",
+            "files": [
+                "https://github.com/CYBERLOOM-INC/ComfyUI-nodes-hnmr"
+            ],
+            "id": "hnmr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/CYBERLOOM-INC/ComfyUI-nodes-hnmr",
+            "title": "ComfyUI-nodes-hnmr"
+        },
+        {
+            "author": "BadCafeCode",
+            "description": "This is a low-dependency node pack primarily dealing with masks. The author recommends using Impact-Pack instead (unless you specifically have trouble installing dependencies).",
+            "files": [
+                "https://github.com/BadCafeCode/masquerade-nodes-comfyui"
+            ],
+            "id": "masquerade",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BadCafeCode/masquerade-nodes-comfyui",
+            "title": "Masquerade Nodes"
+        },
+        {
+            "author": "guoyk93",
+            "description": "Nodes: YKImagePadForOutpaint, YKMaskToImage",
+            "files": [
+                "https://github.com/guoyk93/yk-node-suite-comfyui"
+            ],
+            "id": "yks",
+            "install_type": "git-clone",
+            "reference": "https://github.com/guoyk93/yk-node-suite-comfyui",
+            "title": "y.k.'s ComfyUI node suite"
+        },
+        {
+            "author": "Jcd1230",
+            "description": "Nodes: Image Remove Background (rembg)",
+            "files": [
+                "https://github.com/Jcd1230/rembg-comfyui-node"
+            ],
+            "id": "rembg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Jcd1230/rembg-comfyui-node",
+            "title": "Rembg Background Removal Node for ComfyUI"
+        },
+        {
+            "author": "YinBailiang",
+            "description": "Nodes: MergeBlockWeighted",
+            "files": [
+                "https://github.com/YinBailiang/MergeBlockWeighted_fo_ComfyUI"
+            ],
+            "id": "mbw",
+            "install_type": "git-clone",
+            "reference": "https://github.com/YinBailiang/MergeBlockWeighted_fo_ComfyUI",
+            "title": "MergeBlockWeighted_fo_ComfyUI"
+        },
+        {
+            "author": "trojblue",
+            "description": "Nodes: image_layering, color_correction, model_router",
+            "files": [
+                "https://github.com/trojblue/trNodes"
+            ],
+            "id": "trnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/trojblue/trNodes",
+            "title": "trNodes"
+        },
+        {
+            "author": "szhublox",
+            "description": "Auto-MBW for ComfyUI loosely based on sdweb-auto-MBW. Nodes: auto merge block weighted",
+            "files": [
+                "https://github.com/szhublox/ambw_comfyui"
+            ],
+            "id": "auto-mbw",
+            "install_type": "git-clone",
+            "reference": "https://github.com/szhublox/ambw_comfyui",
+            "title": "Auto-MBW"
+        },
+        {
+            "author": "city96",
+            "description": "Run ComfyUI workflows on multiple local GPUs/networked machines. Nodes: Remote images, Local Remote control",
+            "files": [
+                "https://github.com/city96/ComfyUI_NetDist"
+            ],
+            "id": "netdist",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/ComfyUI_NetDist",
+            "title": "ComfyUI_NetDist"
+        },
+        {
+            "author": "city96",
+            "description": "Custom node to convert the lantents between SDXL and SD v1.5 directly without the VAE decoding/encoding step.",
+            "files": [
+                "https://github.com/city96/SD-Latent-Interposer"
+            ],
+            "id": "latent-interposer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/SD-Latent-Interposer",
+            "title": "Latent-Interposer"
+        },
+        {
+            "author": "city96",
+            "description": "Nodes: LatentGaussianNoise, MathEncode. An experimental custom node that generates latent noise directly by utilizing the linear characteristics of the latent space.",
+            "files": [
+                "https://github.com/city96/SD-Advanced-Noise"
+            ],
+            "id": "adv-noise",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/SD-Advanced-Noise",
+            "title": "SD-Advanced-Noise"
+        },
+        {
+            "author": "city96",
+            "description": "Upscaling stable diffusion latents using a small neural network.",
+            "files": [
+                "https://github.com/city96/SD-Latent-Upscaler"
+            ],
+            "id": "latent-upscaler",
+            "install_type": "git-clone",
+            "pip": [
+                "huggingface-hub"
+            ],
+            "reference": "https://github.com/city96/SD-Latent-Upscaler",
+            "title": "SD-Latent-Upscaler"
+        },
+        {
+            "author": "city96",
+            "description": "Testbed for [a/DiT(Scalable Diffusion Models with Transformers)](https://github.com/facebookresearch/DiT). [w/None of this code is stable, expect breaking changes if for some reason you want to use this.]",
+            "files": [
+                "https://github.com/city96/ComfyUI_DiT"
+            ],
+            "id": "dit",
+            "install_type": "git-clone",
+            "pip": [
+                "huggingface-hub"
+            ],
+            "reference": "https://github.com/city96/ComfyUI_DiT",
+            "title": "ComfyUI_DiT [WIP]"
+        },
+        {
+            "author": "city96",
+            "description": "This extension currently has two sets of nodes - one set for editing the contrast/color of images and another set for saving images as 16 bit PNG files.",
+            "files": [
+                "https://github.com/city96/ComfyUI_ColorMod"
+            ],
+            "id": "colormod",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/ComfyUI_ColorMod",
+            "title": "ComfyUI_ColorMod"
+        },
+        {
+            "author": "city96",
+            "description": "This extension aims to add support for various random image diffusion models to ComfyUI.",
+            "files": [
+                "https://github.com/city96/ComfyUI_ExtraModels"
+            ],
+            "id": "extramodels",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/ComfyUI_ExtraModels",
+            "title": "Extra Models for ComfyUI"
+        },
+        {
+            "author": "city96",
+            "description": "GGUF Quantization support for native ComfyUI models\nThis is currently very much WIP. These custom nodes provide support for model files stored in the GGUF format popularized by llama.cpp.\nWhile quantization wasn't feasible for regular UNET models (conv2d), transformer/DiT models such as flux seem less affected by quantization. This allows running it in much lower bits per weight variable bitrate quants on low-end GPUs.",
+            "files": [
+                "https://github.com/city96/ComfyUI-GGUF"
+            ],
+            "id": "gguf",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/ComfyUI-GGUF",
+            "title": "ComfyUI-GGUF"
+        },
+        {
+            "author": "SLAPaper",
+            "description": "A custom node for ComfyUI, which can select one or some of images from a batch.",
+            "files": [
+                "https://github.com/SLAPaper/ComfyUI-Image-Selector"
+            ],
+            "id": "image-selector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SLAPaper/ComfyUI-Image-Selector",
+            "title": "ComfyUI-Image-Selector"
+        },
+        {
+            "author": "SLAPaper",
+            "description": "the sampler introduced by [a/hallatore](https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8457)\ncode extracted from [a/smZNodes](https://github.com/shiimizu/ComfyUI_smZNodes).[w/NOTE:ComfyUI-dpmpp_2m_alt-Sampler is renamed to StableDiffusion-dpmpp_2m_alt-Sampler. Please reinstall.]",
+            "files": [
+                "https://github.com/SLAPaper/StableDiffusion-dpmpp_2m_alt-Sampler"
+            ],
+            "id": "dpmpp2m-alt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SLAPaper/StableDiffusion-dpmpp_2m_alt-Sampler",
+            "title": "StableDiffusion-dpmpp_2m_alt-Sampler"
+        },
+        {
+            "author": "flyingshutter",
+            "description": "Manipulation nodes for Image, Latent",
+            "files": [
+                "https://github.com/flyingshutter/As_ComfyUI_CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/flyingshutter/As_ComfyUI_CustomNodes",
+            "title": "As_ComfyUI_CustomNodes"
+        },
+        {
+            "author": "Zuellni",
+            "description": "Nodes: DeepFloyd, Filter, Select, Save, Decode, Encode, Repeat, Noise, Noise",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-Custom-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Zuellni/ComfyUI-Custom-Nodes",
+            "title": "Zuellni/ComfyUI-Custom-Nodes"
+        },
+        {
+            "author": "Zuellni",
+            "description": "Nodes: ExLlama Loader, ExLlama Generator.\nUsed to load 4-bit GPTQ Llama/2 models. You can find a lot of them over at [a/https://huggingface.co/TheBloke](https://huggingface.co/TheBloke)[w/NOTE: You need to manually install a pip package that suits your system. For example. If your system is 'Python3.10 + Windows + CUDA 11.8' then you need to install 'exllama-0.0.17+cu118-cp310-cp310-win_amd64.whl'. Available package files are [a/here](https://github.com/jllllll/exllama/releases)]",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-ExLlama"
+            ],
+            "id": "exllama",
+            "install_type": "git-clone",
+            "pip": [
+                "sentencepiece",
+                "https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu118-cp310-cp310-win_amd64.whl"
+            ],
+            "reference": "https://github.com/Zuellni/ComfyUI-ExLlama",
+            "title": "ComfyUI-ExLlama"
+        },
+        {
+            "author": "Zuellni",
+            "description": "A simple local text generator for ComfyUI utilizing [a/ExLlamaV2](https://github.com/turboderp/exllamav2).\n[w/NOTE:Manual package installation is required.]",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-ExLlama-Nodes"
+            ],
+            "id": "exllamav2",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Zuellni/ComfyUI-ExLlama-Nodes",
+            "title": "ComfyUI ExLlamaV2 Nodes"
+        },
+        {
+            "author": "Zuellni",
+            "description": "Image scoring nodes for ComfyUI using PickScore with a batch of images to predict which ones fit a given prompt the best.",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-PickScore-Nodes"
+            ],
+            "id": "pickscore",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Zuellni/ComfyUI-PickScore-Nodes",
+            "title": "ComfyUI PickScore Nodes"
+        },
+        {
+            "author": "AlekPet",
+            "description": "Nodes: PoseNode, PainterNode, TranslateTextNode, TranslateCLIPTextEncodeNode, DeepTranslatorTextNode, DeepTranslatorCLIPTextEncodeNode, ArgosTranslateTextNode, ArgosTranslateCLIPTextEncodeNode, PreviewTextNode.\n\nNOTE: Due to the dynamic nature of node name definitions, ComfyUI-Manager cannot recognize the node list from this extension. The Missing nodes and Badge features are not available for this extension.",
+            "files": [
+                "https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet"
+            ],
+            "id": "alekpet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet",
+            "title": "AlekPet/ComfyUI_Custom_Nodes_AlekPet"
+        },
+        {
+            "author": "pythongosssss",
+            "description": "A ComfyUI extension allowing the interrogation of booru tags from images.",
+            "files": [
+                "https://github.com/pythongosssss/ComfyUI-WD14-Tagger"
+            ],
+            "id": "wd14",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pythongosssss/ComfyUI-WD14-Tagger",
+            "title": "ComfyUI WD 1.4 Tagger"
+        },
+        {
+            "author": "pythongosssss",
+            "description": "This extension provides: Auto Arrange Graph, Workflow SVG, Favicon Status, Image Feed, Latent Upscale By, Lock Nodes & Groups, Lora Subfolders, Preset Text, Show Text, Touch Support, Link Render Mode, Locking, Node Finder, Quick Nodes, Show Image On Menu, Show Text, Workflow Managements, Custom Widget Default Values",
+            "files": [
+                "https://github.com/pythongosssss/ComfyUI-Custom-Scripts"
+            ],
+            "id": "pygos-script",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pythongosssss/ComfyUI-Custom-Scripts",
+            "title": "pythongosssss/ComfyUI-Custom-Scripts"
+        },
+        {
+            "author": "strimmlarn",
+            "description": "Nodes: CalculateAestheticScore, LoadAesteticModel, AesthetlcScoreSorter, ScoreToNumber",
+            "files": [
+                "https://github.com/strimmlarn/ComfyUI_Strimmlarns_aesthetic_score"
+            ],
+            "id": "aesthetic-score",
+            "install_type": "git-clone",
+            "js_path": "strimmlarn",
+            "reference": "https://github.com/strimmlarn/ComfyUI_Strimmlarns_aesthetic_score",
+            "title": "ComfyUI_Strimmlarns_aesthetic_score"
+        },
+        {
+            "author": "TinyTerra",
+            "description": "This extension offers various pipe nodes, extensive XYZ plotting, fullscreen image viewer based on node history, dynamic widgets, interface customization, and more.",
+            "files": [
+                "https://github.com/TinyTerra/ComfyUI_tinyterraNodes"
+            ],
+            "id": "ttn",
+            "install_type": "git-clone",
+            "nodename_pattern": "^ttN ",
+            "reference": "https://github.com/TinyTerra/ComfyUI_tinyterraNodes",
+            "title": "ComfyUI_tinyterraNodes"
+        },
+        {
+            "author": "Jordach",
+            "description": "Nodes: Plasma Noise, Random Noise, Greyscale Noise, Pink Noise, Brown Noise, Plasma KSampler",
+            "files": [
+                "https://github.com/Jordach/comfy-plasma"
+            ],
+            "id": "plasma",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Jordach/comfy-plasma",
+            "title": "comfy-plasma"
+        },
+        {
+            "author": "bvhari",
+            "description": "ComfyUI custom nodes to apply various image processing techniques.",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_ImageProcessing"
+            ],
+            "id": "imageprocessing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bvhari/ComfyUI_ImageProcessing",
+            "title": "ImageProcessing"
+        },
+        {
+            "author": "bvhari",
+            "description": "A novel weighting scheme for token vectors from CLIP. Allows a wider range of values for the weight. Inspired by Perp-Neg.",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_PerpWeight"
+            ],
+            "id": "perpweight",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bvhari/ComfyUI_PerpWeight",
+            "title": "ComfyUI_PerpWeight"
+        },
+        {
+            "author": "bvhari",
+            "description": "Scaled Uniform Noise for Ancestral and Stochastic samplers",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_SUNoise"
+            ],
+            "id": "sunoise",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bvhari/ComfyUI_SUNoise",
+            "title": "ComfyUI_SUNoise"
+        },
+        {
+            "author": "ssitu",
+            "description": "ComfyUI nodes for the Ultimate Stable Diffusion Upscale script by Coyote-A.",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_UltimateSDUpscale"
+            ],
+            "id": "usdu",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ssitu/ComfyUI_UltimateSDUpscale",
+            "title": "UltimateSDUpscale"
+        },
+        {
+            "author": "ssitu",
+            "description": "Unofficial ComfyUI nodes for restart sampling based on the paper 'Restart Sampling for Improving Generative Processes' ([a/paper](https://arxiv.org/abs/2306.14878), [a/repo](https://github.com/Newbeeer/diffusion_restart_sampling))",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_restart_sampling"
+            ],
+            "id": "restart-sampling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ssitu/ComfyUI_restart_sampling",
+            "title": "Restart Sampling"
+        },
+        {
+            "author": "ssitu",
+            "description": "ComfyUI nodes for the roop A1111 webui script.",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_roop"
+            ],
+            "id": "roop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ssitu/ComfyUI_roop",
+            "title": "ComfyUI roop"
+        },
+        {
+            "author": "ssitu",
+            "description": "ComfyUI nodes based on the paper [a/FABRIC: Personalizing Diffusion Models with Iterative Feedback](https://arxiv.org/abs/2307.10159) (Feedback via Attention-Based Reference Image Conditioning)",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_fabric"
+            ],
+            "id": "fabric",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ssitu/ComfyUI_fabric",
+            "title": "ComfyUI fabric"
+        },
+        {
+            "author": "space-nuko",
+            "description": "Modularized version of Disco Diffusion for use with ComfyUI.",
+            "files": [
+                "https://github.com/space-nuko/ComfyUI-Disco-Diffusion"
+            ],
+            "id": "disco",
+            "install_type": "git-clone",
+            "reference": "https://github.com/space-nuko/ComfyUI-Disco-Diffusion",
+            "title": "Disco Diffusion"
+        },
+        {
+            "author": "space-nuko",
+            "description": "A port of the openpose-editor extension for stable-diffusion-webui. NOTE: Requires [a/this ComfyUI patch](https://github.com/comfyanonymous/ComfyUI/pull/711) to work correctly",
+            "files": [
+                "https://github.com/space-nuko/ComfyUI-OpenPose-Editor"
+            ],
+            "id": "openpose-editor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/space-nuko/ComfyUI-OpenPose-Editor",
+            "title": "OpenPose Editor"
+        },
+        {
+            "author": "space-nuko",
+            "description": "NODES: Dynamic Prompts Text Encode, Feeling Lucky Text Encode, Output String",
+            "files": [
+                "https://github.com/space-nuko/nui-suite"
+            ],
+            "id": "nui",
+            "install_type": "git-clone",
+            "reference": "https://github.com/space-nuko/nui-suite",
+            "title": "nui suite"
+        },
+        {
+            "author": "Nourepide",
+            "description": "Allor is a plugin for ComfyUI with an emphasis on transparency and performance.",
+            "files": [
+                "https://github.com/Nourepide/ComfyUI-Allor"
+            ],
+            "id": "allor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nourepide/ComfyUI-Allor",
+            "title": "Allor Plugin"
+        },
+        {
+            "author": "melMass",
+            "description": "NODES: Face Swap, Film Interpolation, Latent Lerp, Int To Number, Bounding Box, Crop, Uncrop, ImageBlur, Denoise, ImageCompare, RGV to HSV, HSV to RGB, Color Correct, Modulo, Deglaze Image, Smart Step, ...",
+            "files": [
+                "https://github.com/melMass/comfy_mtb"
+            ],
+            "id": "mtb",
+            "install_type": "git-clone",
+            "nodename_pattern": "\\(mtb\\)$",
+            "reference": "https://github.com/melMass/comfy_mtb",
+            "title": "MTB Nodes"
+        },
+        {
+            "author": "xXAdonesXx",
+            "description": "Implementation of AutoGen inside ComfyUI. This repository is under development, and not everything is functioning correctly yet.",
+            "files": [
+                "https://github.com/xXAdonesXx/NodeGPT"
+            ],
+            "id": "nodegpt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/xXAdonesXx/NodeGPT",
+            "title": "NodeGPT"
+        },
+        {
+            "author": "Suzie1",
+            "description": "Custom nodes for SDXL and SD1.5 including Multi-ControlNet, LoRA, Aspect Ratio, Process Switches, and many more nodes. NOTE: Maintainer is changed to Suzie1 from RockOfFire. [w/Using an outdated version has resulted in reported issues with updates not being applied. Trying to reinstall the software is advised.]",
+            "files": [
+                "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes"
+            ],
+            "id": "comfyroll",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes",
+            "title": "Comfyroll Studio"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "ComfyUI extension that adds undo (and redo) functionality.",
+            "files": [
+                "https://github.com/bmad4ever/ComfyUI-Bmad-DirtyUndoRedo"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/ComfyUI-Bmad-DirtyUndoRedo",
+            "title": "ComfyUI-Bmad-DirtyUndoRedo"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "This custom node offers the following functionalities: API support for setting up API requests, computer vision primarily for masking or collages, and general utility to streamline workflow setup or implement essential missing features.",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_bmad_nodes"
+            ],
+            "id": "bmad",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/comfyui_bmad_nodes",
+            "title": "Bmad Nodes"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "Experimental sampler node. Sampling alternates between A and B inputs until only one remains, starting with A. B steps run over a 2x2 grid, where 3/4's of the grid are copies of the original input latent. When the optional mask is used, the region outside the defined roi is copied from the original latent at the end of every step.",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_ab_samplercustom"
+            ],
+            "id": "ab-sampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/comfyui_ab_samplercustom",
+            "title": "comfyui_ab_sampler"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "Given a set of lists, the node adjusts them so that when used as input to another node all the possible argument permutations are computed.",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_lists_cartesian_product"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/comfyui_lists_cartesian_product",
+            "title": "Lists Cartesian Product"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "An 'opinionated' Wave Function Collapse implementation with a set of nodes for comfyui",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_wfc_like"
+            ],
+            "id": "wfc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/comfyui_wfc_like",
+            "title": "comfyui_wfc_like"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "image and latent quilting nodes for comfyui",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_quilting"
+            ],
+            "id": "quilting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/comfyui_quilting",
+            "title": "comfyui_quilting"
+        },
+        {
+            "author": "FizzleDorf",
+            "description": "Scheduled prompts, scheduled float/int values and wave function nodes for animations and utility. compatable with [a/framesync](https://www.framesync.xyz/) and [a/keyframe-string-generator](https://www.chigozie.co.uk/keyframe-string-generator/) for audio synced animations in Comfyui.",
+            "files": [
+                "https://github.com/FizzleDorf/ComfyUI_FizzNodes"
+            ],
+            "id": "fizz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FizzleDorf/ComfyUI_FizzNodes",
+            "title": "FizzNodes"
+        },
+        {
+            "author": "FizzleDorf",
+            "description": "A ComfyUI implementation of Facebook Meta's [a/AITemplate](https://github.com/facebookincubator/AITemplate) repo for faster inference using cpp/cuda. This new repo is behind the old version but is a much more stable foundation to keep AIT online. Please be patient as the repo will eventually include the same features as before.\nNOTE: You can find the old AIT extension in the legacy channel.",
+            "files": [
+                "https://github.com/FizzleDorf/ComfyUI-AIT"
+            ],
+            "id": "ait",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FizzleDorf/ComfyUI-AIT",
+            "title": "ComfyUI-AIT"
+        },
+        {
+            "author": "filipemeneses",
+            "description": "ComfyUI node that pixelizes images.",
+            "files": [
+                "https://github.com/filipemeneses/comfy_pixelization"
+            ],
+            "id": "pixelization",
+            "install_type": "git-clone",
+            "reference": "https://github.com/filipemeneses/comfy_pixelization",
+            "title": "Pixelization"
+        },
+        {
+            "author": "shiimizu",
+            "description": "Nodes such as CLIP Text Encode++ to achieve identical embeddings from stable-diffusion-webui for ComfyUI.",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI_smZNodes"
+            ],
+            "id": "smz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shiimizu/ComfyUI_smZNodes",
+            "title": "smZNodes"
+        },
+        {
+            "author": "shiimizu",
+            "description": "The extension enables large image drawing & upscaling with limited VRAM via the following techniques:\n1.Two SOTA diffusion tiling algorithms: [a/Mixture of Diffusers](https://github.com/albarji/mixture-of-diffusers) and [a/MultiDiffusion](https://github.com/omerbt/MultiDiffusion)\n2.pkuliyi2015's Tiled VAE algorithm.",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI-TiledDiffusion"
+            ],
+            "id": "tiled-diffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shiimizu/ComfyUI-TiledDiffusion",
+            "title": "Tiled Diffusion & VAE for ComfyUI"
+        },
+        {
+            "author": "shiimizu",
+            "description": "ComfyUI reference implementation for [a/PhotoMaker](https://github.com/TencentARC/PhotoMaker) models.\nNOTE: PhotoMaker V2 is supported.",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI-PhotoMaker-Plus"
+            ],
+            "id": "photomaker-plus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shiimizu/ComfyUI-PhotoMaker-Plus",
+            "title": "ComfyUI PhotoMaker Plus"
+        },
+        {
+            "author": "shiimizu",
+            "description": "ComfyUI node for Semantic-aware Guidance based on the [a/paper](https://arxiv.org/abs/2404.05384) 'Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance'",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI-semantic-aware-guidance"
+            ],
+            "id": "s-cfg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shiimizu/ComfyUI-semantic-aware-guidance",
+            "title": "Semantic-aware Guidance (S-CFG)"
+        },
+        {
+            "author": "ZaneA",
+            "description": "NODES: ImageRewardLoader, ImageRewardScore",
+            "files": [
+                "https://github.com/ZaneA/ComfyUI-ImageReward"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZaneA/ComfyUI-ImageReward",
+            "title": "ImageReward"
+        },
+        {
+            "author": "SeargeDP",
+            "description": "Custom nodes for easier use of SDXL in ComfyUI including an img2img workflow that utilizes both the base and refiner checkpoints.",
+            "files": [
+                "https://github.com/SeargeDP/SeargeSDXL"
+            ],
+            "id": "searge",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SeargeDP/SeargeSDXL",
+            "title": "SeargeSDXL"
+        },
+        {
+            "author": "SeargeDP",
+            "description": "A prompt-generator or prompt-improvement node for ComfyUI, utilizing the power of a language model to turn a provided text-to-image prompt into a more detailed and improved prompt.",
+            "files": [
+                "https://github.com/SeargeDP/ComfyUI_Searge_LLM"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SeargeDP/ComfyUI_Searge_LLM",
+            "title": "Searge-LLM for ComfyUI v1.0"
+        },
+        {
+            "author": "cubiq",
+            "description": "custom node for ComfyUI to perform simple math operations",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_SimpleMath"
+            ],
+            "id": "simplemath",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cubiq/ComfyUI_SimpleMath",
+            "title": "Simple Math"
+        },
+        {
+            "author": "cubiq",
+            "description": "ComfyUI reference implementation for IPAdapter models. The code is mostly taken from the original IPAdapter repository and laksjdjf's implementation, all credit goes to them. I just made the extension closer to ComfyUI philosophy.",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_IPAdapter_plus"
+            ],
+            "id": "ipadapter",
+            "install_type": "git-clone",
+            "pip": [
+                "insightface"
+            ],
+            "preemptions": [
+                "IPAAdapterFaceIDBatch",
+                "IPAdapter",
+                "IPAdapterAdvanced",
+                "IPAdapterBatch",
+                "IPAdapterClipVisionEnhancer",
+                "IPAdapterClipVisionEnhancerBatch",
+                "IPAdapterCombineEmbeds",
+                "IPAdapterCombineParams",
+                "IPAdapterCombineWeights",
+                "IPAdapterEmbeds",
+                "IPAdapterEmbedsBatch",
+                "IPAdapterEncoder",
+                "IPAdapterFaceID",
+                "IPAdapterFromParams",
+                "IPAdapterInsightFaceLoader",
+                "IPAdapterLoadEmbeds",
+                "IPAdapterMS",
+                "IPAdapterModelLoader",
+                "IPAdapterNoise",
+                "IPAdapterPreciseComposition",
+                "IPAdapterPreciseCompositionBatch",
+                "IPAdapterPreciseStyleTransfer",
+                "IPAdapterPreciseStyleTransferBatch",
+                "IPAdapterPromptScheduleFromWeightsStrategy",
+                "IPAdapterRegionalConditioning",
+                "IPAdapterSaveEmbeds",
+                "IPAdapterStyleComposition",
+                "IPAdapterStyleCompositionBatch",
+                "IPAdapterTiled",
+                "IPAdapterTiledBatch",
+                "IPAdapterUnifiedLoader",
+                "IPAdapterUnifiedLoaderCommunity",
+                "IPAdapterUnifiedLoaderFaceID",
+                "IPAdapterWeights",
+                "IPAdapterWeightsFromStrategy",
+                "PrepImageForClipVision"
+            ],
+            "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus",
+            "title": "ComfyUI_IPAdapter_plus"
+        },
+        {
+            "author": "cubiq",
+            "description": "Native [a/InstantID](https://github.com/InstantID/InstantID) support for ComfyUI.\nThis extension differs from the many already available as it doesn't use diffusers but instead implements InstantID natively and it fully integrates with ComfyUI.\nPlease note this still could be considered beta stage, looking forward to your feedback.",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_InstantID"
+            ],
+            "id": "instantid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cubiq/ComfyUI_InstantID",
+            "title": "ComfyUI InstantID (Native Support)"
+        },
+        {
+            "author": "cubiq",
+            "description": "This extension uses [a/DLib](http://dlib.net/) to calculate the Euclidean and Cosine distance between two faces.\nNOTE: Install the Shape Predictor, Face Recognition model from the Install models menu.",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_FaceAnalysis"
+            ],
+            "id": "faceanalysis",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cubiq/ComfyUI_FaceAnalysis",
+            "title": "Face Analysis for ComfyUI"
+        },
+        {
+            "author": "cubiq",
+            "description": "[a/PuLID](https://github.com/ToTheBeginning/PuLID) ComfyUI native implementation.",
+            "files": [
+                "https://github.com/cubiq/PuLID_ComfyUI"
+            ],
+            "id": "pulid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cubiq/PuLID_ComfyUI",
+            "title": "PuLID_ComfyUI"
+        },
+        {
+            "author": "shockz0rz",
+            "description": "Nodes: Interpolate Poses, Interpolate Lineart, ... Custom nodes for interpolating between, well, everything in the Stable Diffusion ComfyUI.",
+            "files": [
+                "https://github.com/shockz0rz/ComfyUI_InterpolateEverything"
+            ],
+            "id": "interpolate-everything",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shockz0rz/ComfyUI_InterpolateEverything",
+            "title": "InterpolateEverything"
+        },
+        {
+            "author": "shockz0rz",
+            "description": "A set of custom nodes for creating image grids, sequences, and batches in ComfyUI.",
+            "files": [
+                "https://github.com/shockz0rz/comfy-easy-grids"
+            ],
+            "id": "easy-grids",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shockz0rz/comfy-easy-grids",
+            "title": "comfy-easy-grids"
+        },
+        {
+            "author": "yolanother",
+            "description": "Nodes: Prompt Agent, Prompt Agent (String). This script provides a prompt agent node for the Comfy UI stable diffusion client.",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyPromptAgent"
+            ],
+            "id": "prompt-agent",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIComfyPromptAgent",
+            "title": "Comfy UI Prompt Agent"
+        },
+        {
+            "author": "yolanother",
+            "description": "Nodes: Image URL to Text, Image to Text.",
+            "files": [
+                "https://github.com/yolanother/DTAIImageToTextNode"
+            ],
+            "id": "dta-img2txt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIImageToTextNode",
+            "title": "Image to Text Node"
+        },
+        {
+            "author": "yolanother",
+            "description": "Nodes: Submit Image (Parameters), Submit Image. A collection of loaders that use a shared common online data source rather than relying on the files to be present locally.",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyLoaders"
+            ],
+            "id": "dta-loader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIComfyLoaders",
+            "title": "Comfy UI Online Loaders"
+        },
+        {
+            "author": "yolanother",
+            "description": "A ComfyAI submit node to upload images to DoubTech.ai",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyImageSubmit"
+            ],
+            "id": "dta-submit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIComfyImageSubmit",
+            "title": "Comfy AI DoubTech.ai Image Sumission Node"
+        },
+        {
+            "author": "yolanother",
+            "description": "This extension introduces QR code nodes for the Comfy UI stable diffusion client. NOTE: ComfyUI qrcode extension required.",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyQRCodes"
+            ],
+            "id": "dta-qr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIComfyQRCodes",
+            "title": "Comfy UI QR Codes"
+        },
+        {
+            "author": "yolanother",
+            "description": "Nodes: String, Int, Float, Short String, CLIP Text Encode (With Variables), String Format, Short String Format. This extension introduces quality of life improvements by providing variable nodes and shared global variables.",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyVariables"
+            ],
+            "id": "dta-var",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIComfyVariables",
+            "title": "Variables for Comfy UI"
+        },
+        {
+            "author": "sipherxyz",
+            "description": "Nodes: ImagesConcat, LoadImageFromUrl, AV_UploadImage",
+            "files": [
+                "https://github.com/sipherxyz/comfyui-art-venture"
+            ],
+            "id": "artventure",
+            "install_type": "git-clone",
+            "reference": "https://github.com/sipherxyz/comfyui-art-venture",
+            "title": "comfyui-art-venture"
+        },
+        {
+            "author": "SOELexicon",
+            "description": "Nodes: MSSqlTableNode, MSSqlSelectNode. This extension provides custom nodes to interact with MSSQL.",
+            "files": [
+                "https://github.com/SOELexicon/ComfyUI-LexMSDBNodes"
+            ],
+            "id": "lexmsdb",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SOELexicon/ComfyUI-LexMSDBNodes",
+            "title": "LexMSDBNodes"
+        },
+        {
+            "author": "pants007",
+            "description": "Nodes: Make Square Node, Interrogate Node, TextEncodeAIO",
+            "files": [
+                "https://github.com/pants007/comfy-pants"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/pants007/comfy-pants",
+            "title": "pants"
+        },
+        {
+            "author": "evanspearman",
+            "description": "Provides Math Nodes for ComfyUI. Boolean Logic, Integer Arithmetic, Floating Point Arithmetic and Functions, Vec2, Vec3, and Vec4 Arithmetic and Functions",
+            "files": [
+                "https://github.com/evanspearman/ComfyMath"
+            ],
+            "id": "comfymath",
+            "install_type": "git-clone",
+            "reference": "https://github.com/evanspearman/ComfyMath",
+            "title": "ComfyMath"
+        },
+        {
+            "author": "civitai",
+            "description": "Nodes: CivitAI_Loaders. Load Checkpoints, and LORA models directly from CivitAI API.",
+            "files": [
+                "https://github.com/civitai/comfy-nodes"
+            ],
+            "id": "civitai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/civitai/comfy-nodes",
+            "title": "comfy-nodes"
+        },
+        {
+            "author": "andersxa",
+            "description": "Nodes: CLIP Directional Prompt Attention Encode. Direction prompt attention tries to solve the problem of contextual words (or parts of the prompt) having an effect on much later or irrelevant parts of the prompt.",
+            "files": [
+                "https://github.com/andersxa/comfyui-PromptAttention"
+            ],
+            "id": "prompt-attention",
+            "install_type": "git-clone",
+            "pip": [
+                "scikit-learn",
+                "matplotlib"
+            ],
+            "reference": "https://github.com/andersxa/comfyui-PromptAttention",
+            "title": "CLIP Directional Prompt Attention"
+        },
+        {
+            "author": "ArtVentureX",
+            "description": "AnimateDiff integration for ComfyUI, adapts from sd-webui-animatediff.\n[w/You only need to download one of [a/mm_sd_v14.ckpt](https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v14.ckpt) | [a/mm_sd_v15.ckpt](https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15.ckpt). Put the model weights under %%ComfyUI/custom_nodes/comfyui-animatediff/models%%. DO NOT change model filename.]",
+            "files": [
+                "https://github.com/ArtVentureX/comfyui-animatediff"
+            ],
+            "install_type": "git-clone",
+            "pip": [
+                "flash_attn"
+            ],
+            "reference": "https://github.com/ArtVentureX/comfyui-animatediff",
+            "title": "AnimateDiff"
+        },
+        {
+            "author": "twri",
+            "description": "SDXL Prompt Styler is a node that enables you to style prompts based on predefined templates stored in a JSON file.",
+            "files": [
+                "https://github.com/twri/sdxl_prompt_styler"
+            ],
+            "id": "twri-styler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/twri/sdxl_prompt_styler",
+            "title": "SDXL Prompt Styler"
+        },
+        {
+            "author": "wolfden",
+            "description": "These custom nodes provide a variety of customized prompt stylers based on [a/twri/SDXL Prompt Styler](https://github.com/twri/sdxl_prompt_styler).",
+            "files": [
+                "https://github.com/wolfden/ComfyUi_PromptStylers"
+            ],
+            "id": "wolfden-styler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wolfden/ComfyUi_PromptStylers",
+            "title": "SDXL Prompt Styler (customized version by wolfden)"
+        },
+        {
+            "author": "wolfden",
+            "description": "This custom node provides the capability to manipulate multiple string inputs.",
+            "files": [
+                "https://github.com/wolfden/ComfyUi_String_Function_Tree"
+            ],
+            "id": "str-func-tree",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wolfden/ComfyUi_String_Function_Tree",
+            "title": "ComfyUi_String_Function_Tree"
+        },
+        {
+            "author": "daxthin",
+            "description": "Face Detailer is a custom node for the 'ComfyUI' framework inspired by !After Detailer extension from auto1111, it allows you to detect faces using Mediapipe and YOLOv8n to create masks for the detected faces.",
+            "files": [
+                "https://github.com/daxthin/DZ-FaceDetailer"
+            ],
+            "id": "dz-facedetailer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxthin/DZ-FaceDetailer",
+            "title": "DZ-FaceDetailer"
+        },
+        {
+            "author": "asagi4",
+            "description": "Nodes for convenient prompt editing. The aim is to make basic generations in ComfyUI completely prompt-controllable.",
+            "files": [
+                "https://github.com/asagi4/comfyui-prompt-control"
+            ],
+            "id": "prompt-control",
+            "install_type": "git-clone",
+            "reference": "https://github.com/asagi4/comfyui-prompt-control",
+            "title": "ComfyUI prompt control"
+        },
+        {
+            "author": "asagi4",
+            "description": "Attempts to implement [a/CADS](https://arxiv.org/abs/2310.17347) for ComfyUI. Credit also to the [a/A1111 implementation](https://github.com/v0xie/sd-webui-cads/tree/main) that I used as a reference.",
+            "files": [
+                "https://github.com/asagi4/ComfyUI-CADS"
+            ],
+            "id": "cads",
+            "install_type": "git-clone",
+            "reference": "https://github.com/asagi4/ComfyUI-CADS",
+            "title": "ComfyUI-CADS"
+        },
+        {
+            "author": "asagi4",
+            "description": "Nodes:MUJinjaRender, MUSimpleWildcard",
+            "files": [
+                "https://github.com/asagi4/comfyui-utility-nodes"
+            ],
+            "id": "asagi-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/asagi4/comfyui-utility-nodes",
+            "title": "asagi4/comfyui-utility-nodes"
+        },
+        {
+            "author": "asagi4",
+            "description": "An implementation of adaptive guidance for ComfyUI\nSee [a/https://bcv-uniandes.github.io/adaptiveguidance-wp](https://bcv-uniandes.github.io/adaptiveguidance-wp)",
+            "files": [
+                "https://github.com/asagi4/ComfyUI-Adaptive-Guidance"
+            ],
+            "id": "comfyui-adaptive-guidance",
+            "install_type": "git-clone",
+            "reference": "https://github.com/asagi4/ComfyUI-Adaptive-Guidance",
+            "title": "Adaptive Guidance for ComfyUI"
+        },
+        {
+            "author": "jamesWalker55",
+            "description": "Nodes: P2LDGAN. This integrates P2LDGAN into ComfyUI. P2LDGAN extracts lineart from input images.\n[w/To use this extension, you need to download the [a/p2ldgan model](https://drive.google.com/file/d/1To4V_Btc3QhCLBWZ0PdSNgC1cbm3isHP) and save it in the %%ComfyUI/custom_nodes/comfyui-p2ldgan/checkpoints%% directory.]",
+            "files": [
+                "https://github.com/jamesWalker55/comfyui-p2ldgan"
+            ],
+            "id": "p2ldgan",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jamesWalker55/comfyui-p2ldgan",
+            "title": "ComfyUI - P2LDGAN Node"
+        },
+        {
+            "author": "jamesWalker55",
+            "description": "Nodes: JWInteger, JWFloat, JWString, JWImageLoadRGB, JWImageResize, ...",
+            "files": [
+                "https://github.com/jamesWalker55/comfyui-various"
+            ],
+            "id": "jameswalker-nodes",
+            "install_type": "git-clone",
+            "nodename_pattern": "^JW",
+            "reference": "https://github.com/jamesWalker55/comfyui-various",
+            "title": "Various ComfyUI Nodes by Type"
+        },
+        {
+            "author": "adieyal",
+            "description": "Nodes: Random Prompts, Combinatorial Prompts, I'm Feeling Lucky, Magic Prompt, Jinja2 Templates. ComfyUI-DynamicPrompts is a custom nodes library that integrates into your existing ComfyUI Library. It provides nodes that enable the use of Dynamic Prompts in your ComfyUI.",
+            "files": [
+                "https://github.com/adieyal/comfyui-dynamicprompts"
+            ],
+            "id": "dynamicprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/adieyal/comfyui-dynamicprompts",
+            "title": "DynamicPrompts Custom Nodes"
+        },
+        {
+            "author": "mihaiiancu",
+            "description": "Nodes: InpaintMediapipe. This node provides a simple interface to inpaint.",
+            "files": [
+                "https://github.com/mihaiiancu/ComfyUI_Inpaint"
+            ],
+            "id": "inpaint",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mihaiiancu/ComfyUI_Inpaint",
+            "title": "mihaiiancu/Inpaint"
+        },
+        {
+            "author": "kwaroran",
+            "description": "Nodes: Remove Image Background (abg). A Anime Background Remover node for comfyui, based on this hf space, works same as AGB extention in automatic1111.",
+            "files": [
+                "https://github.com/kwaroran/abg-comfyui"
+            ],
+            "id": "abg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kwaroran/abg-comfyui",
+            "title": "abg-comfyui"
+        },
+        {
+            "author": "bash-j",
+            "description": "Nodes: Prompt With Style, Prompt With SDXL, Resize Image for SDXL, Save Image With Prompt Data, HaldCLUT, Empty Latent Ratio Select/Custom SDXL",
+            "files": [
+                "https://github.com/bash-j/mikey_nodes"
+            ],
+            "id": "mikey",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bash-j/mikey_nodes",
+            "title": "Mikey Nodes"
+        },
+        {
+            "author": "blib-la",
+            "description": "node color customization, custom colors, dot reroutes, link rendering options, straight lines, group freezing, node pinning, automated arrangement of nodes, copy image\n[w/failfast-comfyui-extensions is renamed to blibla-comfyui-extensions. Please resintall to this.]",
+            "files": [
+                "https://github.com/blib-la/blibla-comfyui-extensions"
+            ],
+            "id": "blibla-comfyui-extensions",
+            "install_type": "git-clone",
+            "reference": "https://github.com/blib-la/blibla-comfyui-extensions",
+            "title": "blibla-comfyui-extensions"
+        },
+        {
+            "author": "Pfaeff",
+            "description": "Nodes: AstropulsePixelDetector, BackgroundRemover, ImagePadForBetterOutpaint, InpaintingPipelineLoader, Inpainting, ...",
+            "files": [
+                "https://github.com/Pfaeff/pfaeff-comfyui"
+            ],
+            "id": "pfaeff",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Pfaeff/pfaeff-comfyui",
+            "title": "pfaeff-comfyui"
+        },
+        {
+            "author": "wallish77",
+            "description": "Nodes: Checkpoint Loader with Name, Save Prompt Info, Outpaint to Image, CLIP Positive-Negative, SDXL Quick Empty Latent, Empty Latent by Ratio, Time String, SDXL Steps, SDXL Resolutions ...",
+            "files": [
+                "https://github.com/wallish77/wlsh_nodes"
+            ],
+            "id": "wlsh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wallish77/wlsh_nodes",
+            "title": "wlsh_nodes"
+        },
+        {
+            "author": "Kosinkadink",
+            "description": "Nodes for scheduling ControlNet strength across timesteps and batched latents, as well as applying custom weights and attention masks.",
+            "files": [
+                "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet"
+            ],
+            "id": "adv-cnet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet",
+            "title": "ComfyUI-Advanced-ControlNet"
+        },
+        {
+            "author": "Kosinkadink",
+            "description": "A forked repository that actively maintains [a/AnimateDiff](https://github.com/ArtVentureX/comfyui-animatediff), created by ArtVentureX.\n\nImproved AnimateDiff integration for ComfyUI, adapts from sd-webui-animatediff.\n[w/Download one or more motion models from [a/Original Models](https://huggingface.co/guoyww/animatediff/tree/main) | [a/Finetuned Models](https://huggingface.co/manshoety/AD_Stabilized_Motion/tree/main). See README for additional model links and usage. Put the model weights under %%ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/models%%. You are free to rename the models, but keeping original names will ease use when sharing your workflow.]",
+            "files": [
+                "https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved"
+            ],
+            "id": "ad-evolved",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved",
+            "title": "AnimateDiff Evolved"
+        },
+        {
+            "author": "Kosinkadink",
+            "description": "Nodes related to video workflows",
+            "files": [
+                "https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite"
+            ],
+            "id": "vhs",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite",
+            "title": "ComfyUI-VideoHelperSuite"
+        },
+        {
+            "author": "Gourieff",
+            "description": "The Fast and Simple 'roop-like' Face Swap Extension Node for ComfyUI, based on ReActor (ex Roop-GE) SD-WebUI Face Swap Extension",
+            "files": [
+                "https://github.com/Gourieff/comfyui-reactor-node"
+            ],
+            "id": "reactor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Gourieff/comfyui-reactor-node",
+            "title": "ReActor Node for ComfyUI"
+        },
+        {
+            "author": "Gourieff",
+            "description": "This extension collapses 'future warning' messages in your Console",
+            "files": [
+                "https://github.com/Gourieff/ComfyUI-FutureWarningIgnore/raw/main/0_FutureWarningIgnore.py"
+            ],
+            "id": "futureignore",
+            "install_type": "copy",
+            "reference": "https://github.com/Gourieff/ComfyUI-FutureWarningIgnore",
+            "title": "ComfyUI-FutureWarningIgnore"
+        },
+        {
+            "author": "imb101",
+            "description": "Nodes:FaceSwapNode. Very basic custom node to enable face swapping in ComfyUI. (roop)",
+            "files": [
+                "https://github.com/imb101/ComfyUI-FaceSwap"
+            ],
+            "id": "faceswap",
+            "install_type": "git-clone",
+            "reference": "https://github.com/imb101/ComfyUI-FaceSwap",
+            "title": "FaceSwap"
+        },
+        {
+            "author": "Chaoses-Ib",
+            "description": "Nodes: LoadImageFromPath. Load Image From Path loads the image from the source path and does not have such problems.",
+            "files": [
+                "https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes"
+            ],
+            "id": "ib-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes",
+            "title": "ComfyUI_Ib_CustomNodes"
+        },
+        {
+            "author": "AIrjen",
+            "description": "One Button Prompt has a prompt generation node for beginners who have problems writing a good prompt, or advanced users who want to get inspired. It generates an entire prompt from scratch. It is random, but controlled. You simply load up the script and press generate, and let it surprise you.",
+            "files": [
+                "https://github.com/AIrjen/OneButtonPrompt"
+            ],
+            "id": "1button",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIrjen/OneButtonPrompt",
+            "title": "One Button Prompt"
+        },
+        {
+            "author": "coreyryanhanson",
+            "description": "QR generation within ComfyUI. Contains nodes suitable for workflows from generating basic QR images to techniques with advanced QR masking.",
+            "files": [
+                "https://github.com/coreyryanhanson/ComfyQR"
+            ],
+            "id": "comfyqr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/coreyryanhanson/ComfyQR",
+            "title": "ComfyQR"
+        },
+        {
+            "author": "coreyryanhanson",
+            "description": "A set of ComfyUI nodes to quickly test generated QR codes for scannability. A companion project to ComfyQR.",
+            "files": [
+                "https://github.com/coreyryanhanson/ComfyQR-scanning-nodes"
+            ],
+            "id": "comfyqr-scanning",
+            "install_type": "git-clone",
+            "reference": "https://github.com/coreyryanhanson/ComfyQR-scanning-nodes",
+            "title": "ComfyQR-scanning-nodes"
+        },
+        {
+            "author": "dimtoneff",
+            "description": "This node manipulates the pixel art image in ways that it should look pixel perfect (downscales, changes palette, upscales etc.).",
+            "files": [
+                "https://github.com/dimtoneff/ComfyUI-PixelArt-Detector"
+            ],
+            "id": "pixelart-detector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dimtoneff/ComfyUI-PixelArt-Detector",
+            "title": "ComfyUI PixelArt Detector"
+        },
+        {
+            "author": "dimtoneff",
+            "description": "Nodes: EagleImageNode",
+            "files": [
+                "https://github.com/hylarucoder/ComfyUI-Eagle-PNGInfo"
+            ],
+            "id": "eaglepnginfo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hylarucoder/ComfyUI-Eagle-PNGInfo",
+            "title": "Eagle PNGInfo"
+        },
+        {
+            "author": "theUpsider",
+            "description": "This extension allows users to load styles from a CSV file, primarily for migration purposes from the automatic1111 Stable Diffusion web UI.",
+            "files": [
+                "https://github.com/theUpsider/ComfyUI-Styles_CSV_Loader"
+            ],
+            "id": "styles-csv-loader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/theUpsider/ComfyUI-Styles_CSV_Loader",
+            "title": "Styles CSV Loader Extension for ComfyUI"
+        },
+        {
+            "author": "theUpsider",
+            "description": "An extension to ComfyUI that introduces logic nodes and conditional rendering capabilities.",
+            "files": [
+                "https://github.com/theUpsider/ComfyUI-Logic"
+            ],
+            "id": "comfy-logic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/theUpsider/ComfyUI-Logic",
+            "title": "ComfyUI-Logic"
+        },
+        {
+            "author": "M1kep",
+            "description": "Nodes: Range(Step), Range(Num Steps), List Length, Image Overlay, Stack Images, Empty Images, Join Image Lists, Join Float Lists. This extension provides various list manipulation nodes",
+            "files": [
+                "https://github.com/M1kep/Comfy_KepListStuff"
+            ],
+            "id": "keplist",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/Comfy_KepListStuff",
+            "title": "Comfy_KepListStuff"
+        },
+        {
+            "author": "M1kep",
+            "description": "Nodes: Int, Float, String, Operation, Checkpoint",
+            "files": [
+                "https://github.com/M1kep/ComfyLiterals"
+            ],
+            "id": "comfyliterals",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/ComfyLiterals",
+            "title": "ComfyLiterals"
+        },
+        {
+            "author": "M1kep",
+            "description": "Nodes: Build Gif, Special CLIP Loader. It offers various manipulation capabilities for the internal operations of the prompt.",
+            "files": [
+                "https://github.com/M1kep/KepPromptLang"
+            ],
+            "id": "kepprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/KepPromptLang",
+            "title": "KepPromptLang"
+        },
+        {
+            "author": "M1kep",
+            "description": "This extension provides a custom node that allows the use of [a/Matte Anything](https://github.com/hustvl/Matte-Anything) in ComfyUI.",
+            "files": [
+                "https://github.com/M1kep/Comfy_KepMatteAnything"
+            ],
+            "id": "kepmatte",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/Comfy_KepMatteAnything",
+            "title": "Comfy_KepMatteAnything"
+        },
+        {
+            "author": "M1kep",
+            "description": "Nodes: KepRotateImage",
+            "files": [
+                "https://github.com/M1kep/Comfy_KepKitchenSink"
+            ],
+            "id": "kepkitchen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/Comfy_KepKitchenSink",
+            "title": "Comfy_KepKitchenSink"
+        },
+        {
+            "author": "M1kep",
+            "description": "Nodes: TAESD VAE Decode",
+            "files": [
+                "https://github.com/M1kep/ComfyUI-OtherVAEs"
+            ],
+            "id": "kep-othervae",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/ComfyUI-OtherVAEs",
+            "title": "ComfyUI-OtherVAEs"
+        },
+        {
+            "author": "M1kep",
+            "description": "ComfyUI-KepOpenAI is a user-friendly node that serves as an interface to the GPT-4 with Vision (GPT-4V) API. This integration facilitates the processing of images coupled with text prompts, leveraging the capabilities of the OpenAI API to generate text completions that are contextually relevant to the provided inputs.",
+            "files": [
+                "https://github.com/M1kep/ComfyUI-KepOpenAI"
+            ],
+            "id": "kep-openai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/ComfyUI-KepOpenAI",
+            "title": "ComfyUI-KepOpenAI"
+        },
+        {
+            "author": "uarefans",
+            "description": "Nodes: Fans Styler (Max 10 Style), Fans Text Concat (Until 10 text), Fans Prompt Styler Postive (Can replace {prompt} word in your csv files), Fans Prompt Styler Negative (With sentence structure).",
+            "files": [
+                "https://github.com/uarefans/ComfyUI-Fans"
+            ],
+            "id": "fans",
+            "install_type": "git-clone",
+            "reference": "https://github.com/uarefans/ComfyUI-Fans",
+            "title": "ComfyUI-Fans"
+        },
+        {
+            "author": "NicholasMcCarthy",
+            "description": "ComfyUI custom nodes to apply various latent travel techniques.",
+            "files": [
+                "https://github.com/NicholasMcCarthy/ComfyUI_TravelSuite"
+            ],
+            "id": "travel",
+            "install_type": "git-clone",
+            "reference": "https://github.com/NicholasMcCarthy/ComfyUI_TravelSuite",
+            "title": "ComfyUI_TravelSuite"
+        },
+        {
+            "author": "ManglerFTW",
+            "description": "A set of custom nodes to perform image 2 image functions in ComfyUI.",
+            "files": [
+                "https://github.com/ManglerFTW/ComfyI2I"
+            ],
+            "id": "comfyi2i",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ManglerFTW/ComfyI2I",
+            "title": "ComfyI2I"
+        },
+        {
+            "author": "mpiquero7164",
+            "description": "Save a png or jpeg and option to save prompt/workflow in a text or json file for each image in Comfy + Workflow loading.",
+            "files": [
+                "https://github.com/mpiquero7164/ComfyUI-SaveImgPrompt"
+            ],
+            "id": "save-imgprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mpiquero7164/ComfyUI-SaveImgPrompt",
+            "title": "SaveImgPrompt"
+        },
+        {
+            "author": "m-sokes",
+            "description": "Nodes: Empty Latent Randomizer (9 Inputs)",
+            "files": [
+                "https://github.com/m-sokes/ComfyUI-Sokes-Nodes"
+            ],
+            "id": "sokes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/m-sokes/ComfyUI-Sokes-Nodes",
+            "title": "ComfyUI Sokes Nodes"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "Nodes: NoisyLatentPerlin. This allows to create latent spaces filled with perlin-based noise that can actually be used by the samplers.",
+            "files": [
+                "https://github.com/Extraltodeus/noise_latent_perlinpinpin"
+            ],
+            "id": "perlipinpin",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/noise_latent_perlinpinpin",
+            "title": "noise latent perlinpinpin"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "Nodes:LoadLoraWithTags. Save/Load trigger words for loras from a json and auto fetch them on civitai if they are missing.",
+            "files": [
+                "https://github.com/Extraltodeus/LoadLoraWithTags"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/LoadLoraWithTags",
+            "title": "LoadLoraWithTags"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "A few nodes to mix sigmas and a custom scheduler that uses phi, then one using eval() to be able to schedule with custom formulas.",
+            "files": [
+                "https://github.com/Extraltodeus/sigmas_tools_and_the_golden_scheduler"
+            ],
+            "id": "sigmas-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/sigmas_tools_and_the_golden_scheduler",
+            "title": "sigmas_tools_and_the_golden_scheduler"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "My own version 'from scratch' of a self-rescaling CFG. It isn't much but it's honest work.\nTLDR: set your CFG at 8 to try it. No burned images and artifacts anymore. CFG is also a bit more sensitive because it's a proportion around 8. Low scale like 4 also gives really nice results since your CFG is not the CFG anymore. Also in general even with relatively low settings it seems to improve the quality.",
+            "files": [
+                "https://github.com/Extraltodeus/ComfyUI-AutomaticCFG"
+            ],
+            "id": "autocfg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/ComfyUI-AutomaticCFG",
+            "title": "ComfyUI-AutomaticCFG"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "The main node makes your conditioning go towards similar concepts so to enrich your composition or further away so to make it more precise. It gathers similar pre-cond vectors for as long as the cosine similarity score diminishes. If it climbs back it stops. This allows to set a relative direction to similar concepts.\nThere are examples at the end but [a/you can also check this imgur album](https://imgur.com/a/WvPd81Y) which demonstrates the capability of improving variety.",
+            "files": [
+                "https://github.com/Extraltodeus/Vector_Sculptor_ComfyUI"
+            ],
+            "id": "vector-sculptor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/Vector_Sculptor_ComfyUI",
+            "title": "Vector_Sculptor_ComfyUI"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "Provides the ability to set the temperature for both UNET and CLIP. For ComfyUI.",
+            "files": [
+                "https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings"
+            ],
+            "id": "sd-temperature",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings",
+            "title": "Stable-Diffusion-temperature-settings"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "Allows to sample without generating any uncond with Stable Diffusion!",
+            "files": [
+                "https://github.com/Extraltodeus/Uncond-Zero-for-ComfyUI"
+            ],
+            "id": "uncond-zero",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/Uncond-Zero-for-ComfyUI",
+            "title": "Uncond-Zero-for-ComfyUI"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "A set of nodes to prepare the noise predictions before the CFG function",
+            "files": [
+                "https://github.com/Extraltodeus/pre_cfg_comfy_nodes_for_ComfyUI"
+            ],
+            "id": "precfg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/pre_cfg_comfy_nodes_for_ComfyUI",
+            "title": "pre_cfg_comfy_nodes_for_ComfyUI"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "A powerful anti-burn allowing much higher CFG scales for latent diffusion models (for ComfyUI)",
+            "files": [
+                "https://github.com/Extraltodeus/Skimmed_CFG"
+            ],
+            "id": "skimmed-cfg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/Skimmed_CFG",
+            "title": "Skimmed_CFG"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "Heuristic modification of the Heun sampler using a custom function based on normalized distances. For ComfyUI.",
+            "files": [
+                "https://github.com/Extraltodeus/Skimmed_CFG"
+            ],
+            "id": "distancesampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/DistanceSampler",
+            "title": "DistanceSampler"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "These nodes are to edit the text vectors of CLIP models, so to customize how the prompts will be interpreted. You could see it as either customisation, 'one token prompt' up to some limitation and a way to mess with how the text will be interpreted. The edited CLIP can then be saved, or as well the edited tokens themselves. The shared example weights does not contain any image-knowledge but the text vector of the words affected.",
+            "files": [
+                "https://github.com/Extraltodeus/CLIP-Token-Injection"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/CLIP-Token-Injection",
+            "title": "CLIP-Token-Injection"
+        },
+        {
+            "author": "JPS",
+            "description": "Nodes: Various nodes to handle SDXL Resolutions, SDXL Basic Settings, IP Adapter Settings, Revision Settings, SDXL Prompt Styler, Crop Image to Square, Crop Image to Target Size, Get Date-Time String, Resolution Multiply, Largest Integer, 5-to-1 Switches for Integer, Images, Latents, Conditioning, Model, VAE, ControlNet",
+            "files": [
+                "https://github.com/JPS-GER/ComfyUI_JPS-Nodes"
+            ],
+            "id": "jps-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JPS-GER/ComfyUI_JPS-Nodes",
+            "title": "JPS Custom Nodes for ComfyUI"
+        },
+        {
+            "author": "hustille",
+            "description": "ComfyUI nodes primarily for seed and filename generation",
+            "files": [
+                "https://github.com/hustille/ComfyUI_hus_utils"
+            ],
+            "id": "husutil",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hustille/ComfyUI_hus_utils",
+            "title": "hus' utils for ComfyUI"
+        },
+        {
+            "author": "hustille",
+            "description": "Nodes: KSampler With Refiner (Fooocus). The KSampler from [a/Fooocus](https://github.com/lllyasviel/Fooocus) as a ComfyUI node [w/NOTE: This patches basic ComfyUI behaviour - don't use together with other samplers. Or perhaps do? Other samplers might profit from those changes ... ymmv.]",
+            "files": [
+                "https://github.com/hustille/ComfyUI_Fooocus_KSampler"
+            ],
+            "id": "fooocus-ksampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hustille/ComfyUI_Fooocus_KSampler",
+            "title": "ComfyUI_Fooocus_KSampler"
+        },
+        {
+            "author": "badjeff",
+            "description": "A ComfyUI custom node to read LoRA tag(s) from text and load it into checkpoint model.",
+            "files": [
+                "https://github.com/badjeff/comfyui_lora_tag_loader"
+            ],
+            "id": "lora-tag-loader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/badjeff/comfyui_lora_tag_loader",
+            "title": "LoRA Tag Loader for ComfyUI"
+        },
+        {
+            "author": "rgthree",
+            "description": "Nodes: Seed, Reroute, Context, Lora Loader Stack, Context Switch, Fast Muter. These custom nodes helps organize the building of complex workflows.",
+            "files": [
+                "https://github.com/rgthree/rgthree-comfy"
+            ],
+            "id": "rgthree",
+            "install_type": "git-clone",
+            "nodename_pattern": " \\(rgthree\\)$",
+            "reference": "https://github.com/rgthree/rgthree-comfy",
+            "title": "rgthree's ComfyUI Nodes"
+        },
+        {
+            "author": "AIGODLIKE",
+            "description": "It provides language settings. (Contribution from users of various languages is needed due to the support for each language.)",
+            "files": [
+                "https://github.com/AIGODLIKE/AIGODLIKE-COMFYUI-TRANSLATION"
+            ],
+            "id": "translation",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIGODLIKE/AIGODLIKE-COMFYUI-TRANSLATION",
+            "title": "AIGODLIKE-COMFYUI-TRANSLATION"
+        },
+        {
+            "author": "AIGODLIKE",
+            "description": "Improve the interactive experience of using ComfyUI, such as making the loading of ComfyUI models more intuitive and making it easier to create model thumbnails",
+            "files": [
+                "https://github.com/AIGODLIKE/AIGODLIKE-ComfyUI-Studio"
+            ],
+            "id": "comfy-studio",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIGODLIKE/AIGODLIKE-ComfyUI-Studio",
+            "title": "AIGODLIKE-ComfyUI-Studio"
+        },
+        {
+            "author": "AIGODLIKE",
+            "description": "Bridge between ComfyUI and blender's ComfyUI-BlenderAI-node addon.",
+            "files": [
+                "https://github.com/AIGODLIKE/ComfyUI-CUP"
+            ],
+            "id": "comfycup",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIGODLIKE/ComfyUI-CUP",
+            "title": "ComfyUI-CUP"
+        },
+        {
+            "author": "AIGODLIKE",
+            "description": "This project is used to enable [a/ToonCrafter](https://github.com/ToonCrafter/ToonCrafter) to be used in ComfyUI.\nYou can use it to achieve generative keyframe animation\nAnd use it in Blender for animation rendering and prediction",
+            "files": [
+                "https://github.com/AIGODLIKE/ComfyUI-ToonCrafter"
+            ],
+            "id": "tooncrafter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIGODLIKE/ComfyUI-ToonCrafter",
+            "title": "ComfyUI-ToonCrafter"
+        },
+        {
+            "author": "syllebra",
+            "description": "Nodes: BilboX's PromptGeek Photo Prompt. This provides a convenient way to compose photorealistic prompts into ComfyUI.",
+            "files": [
+                "https://github.com/syllebra/bilbox-comfyui"
+            ],
+            "id": "bilbox",
+            "install_type": "git-clone",
+            "reference": "https://github.com/syllebra/bilbox-comfyui",
+            "title": "BilboX's ComfyUI Custom Nodes"
+        },
+        {
+            "author": "Girish Gopaul",
+            "description": "All the tools you need to save images with their generation metadata on ComfyUI. Compatible with Civitai & Prompthero geninfo auto-detection. Works with png, jpeg and webp.",
+            "files": [
+                "https://github.com/giriss/comfy-image-saver"
+            ],
+            "id": "image-saver",
+            "install_type": "git-clone",
+            "reference": "https://github.com/giriss/comfy-image-saver",
+            "title": "Save Image with Generation Metadata"
+        },
+        {
+            "author": "shingo1228",
+            "description": "Nodes:Send Webp Image to Eagle. This is an extension node for ComfyUI that allows you to send generated images in webp format to Eagle. This extension node is a re-implementation of the Eagle linkage functions of the previous ComfyUI-send-Eagle node, focusing on the functions required for this node.",
+            "files": [
+                "https://github.com/shingo1228/ComfyUI-send-eagle-slim"
+            ],
+            "id": "send-eagle",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shingo1228/ComfyUI-send-eagle-slim",
+            "title": "ComfyUI-send-Eagle(slim)"
+        },
+        {
+            "author": "shingo1228",
+            "description": "Nodes:SDXL Empty Latent Image. An extension node for ComfyUI that allows you to select a resolution from the pre-defined json files and output a Latent Image.",
+            "files": [
+                "https://github.com/shingo1228/ComfyUI-SDXL-EmptyLatentImage"
+            ],
+            "id": "sdxl-emptylatent",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shingo1228/ComfyUI-SDXL-EmptyLatentImage",
+            "title": "ComfyUI-SDXL-EmptyLatentImage"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "ComfyUI version of https://github.com/laksjdjf/pfg-webui. (To use this extension, you need to download the required model file from **Install Models**)",
+            "files": [
+                "https://github.com/laksjdjf/pfg-ComfyUI"
+            ],
+            "id": "pfg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/pfg-ComfyUI",
+            "title": "pfg-ComfyUI"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "The custom nodes of laksjdjf have been integrated into the node pack of cgem156\ud83c\udf4c.\nNOTE:This includes the attention couple feature.",
+            "files": [
+                "https://github.com/laksjdjf/cgem156-ComfyUI"
+            ],
+            "id": "cgem156",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/cgem156-ComfyUI",
+            "title": "cgem156-ComfyUI\ud83c\udf4c"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "Nodes:Apply CDTuner, Apply Negapip. This extension provides the [a/CD(Color/Detail) Tuner](https://github.com/hako-mikan/sd-webui-cd-tuner) and the [a/Negative Prompt in the Prompt](https://github.com/hako-mikan/sd-webui-negpip) features.",
+            "files": [
+                "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI"
+            ],
+            "id": "cdtuner",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI",
+            "title": "cd-tuner_negpip-ComfyUI"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "This extension node is intended for the use of LCM conversion for SSD-1B-anime. It does not guarantee operation with the original LCM (as it cannot load weights in the current version). To take advantage of fast generation with LCM, a node for using TAESD as a decoder is also provided. This is inspired by ComfyUI-OtherVAEs.",
+            "files": [
+                "https://github.com/laksjdjf/LCMSampler-ComfyUI"
+            ],
+            "id": "lcm-sampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/LCMSampler-ComfyUI",
+            "title": "LCMSampler-ComfyUI"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "This is a repository for using LoRTnoC (LoRA with hint block of ControlNet) on ComfyUI.\nNOTE:Please place the model file in the same location as controlnet. (Is this too arbitrary?)",
+            "files": [
+                "https://github.com/laksjdjf/LoRTnoC-ComfyUI"
+            ],
+            "id": "lortnoc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/LoRTnoC-ComfyUI",
+            "title": "LoRTnoC-ComfyUI"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "Nodes:CLIP Text Encode (Batch), String Input, Batch String",
+            "files": [
+                "https://github.com/laksjdjf/Batch-Condition-ComfyUI"
+            ],
+            "id": "batch-condition",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/Batch-Condition-ComfyUI",
+            "title": "Batch-Condition-ComfyUI"
+        },
+        {
+            "author": "alsritter",
+            "description": "Nodes:Asymmetric_Tiling_KSampler. ",
+            "files": [
+                "https://github.com/alsritter/asymmetric-tiling-comfyui"
+            ],
+            "id": "asymmetric",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alsritter/asymmetric-tiling-comfyui",
+            "title": "asymmetric-tiling-comfyui"
+        },
+        {
+            "author": "meap158",
+            "description": "Pause image generation when GPU temperature exceeds threshold.",
+            "files": [
+                "https://github.com/meap158/ComfyUI-GPU-temperature-protection"
+            ],
+            "id": "gputemp",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meap158/ComfyUI-GPU-temperature-protection",
+            "title": "GPU temperature protection"
+        },
+        {
+            "author": "meap158",
+            "description": "Dynamic prompt expansion, powered by GPT-2 locally on your device.",
+            "files": [
+                "https://github.com/meap158/ComfyUI-Prompt-Expansion"
+            ],
+            "id": "promtp-expansion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meap158/ComfyUI-Prompt-Expansion",
+            "title": "ComfyUI-Prompt-Expansion"
+        },
+        {
+            "author": "meap158",
+            "description": "Instantly replace your image's background.",
+            "files": [
+                "https://github.com/meap158/ComfyUI-Background-Replacement"
+            ],
+            "id": "bg-replacement",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meap158/ComfyUI-Background-Replacement",
+            "title": "ComfyUI-Background-Replacement"
+        },
+        {
+            "author": "TeaCrab",
+            "description": "Nodes:TC_EqualizeCLAHE, TC_SizeApproximation, TC_ImageResize, TC_ImageScale, TC_ColorFill.",
+            "files": [
+                "https://github.com/TeaCrab/ComfyUI-TeaNodes"
+            ],
+            "id": "teanodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TeaCrab/ComfyUI-TeaNodes",
+            "title": "ComfyUI-TeaNodes"
+        },
+        {
+            "author": "nagolinc",
+            "description": "Based off of: [a/Birch-san/diffusers-play/approx_vae](https://github.com/Birch-san/diffusers-play/tree/main/approx_vae). This ComfyUI node allows you to quickly preview SDXL 1.0 latents.",
+            "files": [
+                "https://github.com/nagolinc/ComfyUI_FastVAEDecorder_SDXL"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nagolinc/ComfyUI_FastVAEDecorder_SDXL",
+            "title": "ComfyUI_FastVAEDecorder_SDXL"
+        },
+        {
+            "author": "nagolinc",
+            "description": "This provides a single node openai > Open AI query node\nthat takes a system prompt and user message and sends them to chatGPT 3.5\nNote, you MUST have an OPEN AI API key stored in the environment variable OPENAI_API_KEY in order for this to work.",
+            "files": [
+                "https://github.com/nagolinc/comfyui_openai_node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nagolinc/comfyui_openai_node",
+            "title": "comfyui_openai_node"
+        },
+        {
+            "author": "bradsec",
+            "description": "A custom node for Stable Diffusion ComfyUI to enable easy selection of image resolutions for SDXL SD15 SD21",
+            "files": [
+                "https://github.com/bradsec/ComfyUI_ResolutionSelector"
+            ],
+            "id": "resolution-selector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bradsec/ComfyUI_ResolutionSelector",
+            "title": "ResolutionSelector for ComfyUI"
+        },
+        {
+            "author": "kohya-ss",
+            "description": "Nodes: LLLiteLoader",
+            "files": [
+                "https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI"
+            ],
+            "id": "lllite",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI",
+            "title": "ControlNet-LLLite-ComfyUI"
+        },
+        {
+            "author": "jjkramhoeft",
+            "description": "Nodes: SDXLRecommendedImageSize, JjkText, JjkShowText, JjkConcat. A set of custom nodes for ComfyUI - focused on text and parameter utility",
+            "files": [
+                "https://github.com/jjkramhoeft/ComfyUI-Jjk-Nodes"
+            ],
+            "id": "jjk",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jjkramhoeft/ComfyUI-Jjk-Nodes",
+            "title": "ComfyUI-Jjk-Nodes"
+        },
+        {
+            "author": "dagthomas",
+            "description": "Easy prompting for generation of endless random art pieces and photographs!",
+            "files": [
+                "https://github.com/dagthomas/comfyui_dagthomas"
+            ],
+            "id": "autoprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dagthomas/comfyui_dagthomas",
+            "title": "SDXL Auto Prompter"
+        },
+        {
+            "author": "marhensa",
+            "description": "Input your desired output final resolution, it will automaticaly set the initial recommended SDXL ratio/size and its Upscale Factor to reach that output final resolution, also there's an option for 2x/4x reverse Upscale Factor. These all to avoid using bad/arbitary initial ratio/resolution.",
+            "files": [
+                "https://github.com/marhensa/sdxl-recommended-res-calc"
+            ],
+            "id": "resoultion-calc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/marhensa/sdxl-recommended-res-calc",
+            "title": "Recommended Resolution Calculator"
+        },
+        {
+            "author": "Nuked",
+            "description": "A suite of custom nodes for ConfyUI that includes GPT text-prompt generation, LoadVideo,SaveVideo,LoadFramesFromFolder and FrameInterpolator",
+            "files": [
+                "https://github.com/Nuked88/ComfyUI-N-Nodes"
+            ],
+            "id": "nnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nuked88/ComfyUI-N-Nodes",
+            "title": "ComfyUI-N-Nodes"
+        },
+        {
+            "author": "Nuked",
+            "description": "A simple sidebar for ComfyUI.",
+            "files": [
+                "https://github.com/Nuked88/ComfyUI-N-Sidebar"
+            ],
+            "id": "nsidebar",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nuked88/ComfyUI-N-Sidebar",
+            "title": "ComfyUI-N-Sidebar"
+        },
+        {
+            "author": "richinsley",
+            "description": "Nodes:LFO_Triangle, LFO_Sine, SawtoothNode, SquareNode, PulseNode. ComfyUI custom nodes to create Low Frequency Oscillators.",
+            "files": [
+                "https://github.com/richinsley/Comfy-LFO"
+            ],
+            "id": "lfo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/richinsley/Comfy-LFO",
+            "title": "Comfy-LFO"
+        },
+        {
+            "author": "Beinsezii",
+            "description": "This contains all-in-one 'principled' nodes for T2I, I2I, refining, and scaling. Additionally it has many tools for directly manipulating the color of latents, high res fix math, and scripted image post-processing.",
+            "files": [
+                "https://github.com/Beinsezii/bsz-cui-extras"
+            ],
+            "id": "bsz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Beinsezii/bsz-cui-extras",
+            "title": "bsz-cui-extras"
+        },
+        {
+            "author": "youyegit",
+            "description": "Add Switch on nodes, Make nodes amount small! It helps conveniently to use less nodes for doing the same things.",
+            "files": [
+                "https://github.com/youyegit/tdxh_node_comfyui"
+            ],
+            "id": "tdxh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/youyegit/tdxh_node_comfyui",
+            "title": "tdxh_node_comfyui"
+        },
+        {
+            "author": "Sxela",
+            "description": "Nodes:LoadFrameSequence, LoadFrame",
+            "files": [
+                "https://github.com/Sxela/ComfyWarp"
+            ],
+            "id": "warp",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Sxela/ComfyWarp",
+            "title": "ComfyWarp"
+        },
+        {
+            "author": "skfoo",
+            "description": "Nodes:MultiLora Loader, Lora Text Extractor. Provides a node for assisting in loading loras through text.",
+            "files": [
+                "https://github.com/skfoo/ComfyUI-Coziness"
+            ],
+            "id": "coziness",
+            "install_type": "git-clone",
+            "reference": "https://github.com/skfoo/ComfyUI-Coziness",
+            "title": "ComfyUI-Coziness"
+        },
+        {
+            "author": "YOUR-WORST-TACO",
+            "description": "Nodes:TacoLatent, TacoAnimatedLoader, TacoImg2ImgAnimatedLoader, TacoGifMaker.",
+            "files": [
+                "https://github.com/YOUR-WORST-TACO/ComfyUI-TacoNodes"
+            ],
+            "id": "taco",
+            "install_type": "git-clone",
+            "reference": "https://github.com/YOUR-WORST-TACO/ComfyUI-TacoNodes",
+            "title": "ComfyUI-TacoNodes"
+        },
+        {
+            "author": "Lerc",
+            "description": "This extension provides a full page image editor with mask support. There are two nodes, one to receive images from the editor and one to send images to the editor.",
+            "files": [
+                "https://github.com/Lerc/canvas_tab"
+            ],
+            "id": "canvastab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Lerc/canvas_tab",
+            "title": "Canvas Tab"
+        },
+        {
+            "author": "Ttl",
+            "description": "Nodes:NNLatentUpscale, A custom ComfyUI node designed for rapid latent upscaling using a compact neural network, eliminating the need for VAE-based decoding and encoding.",
+            "files": [
+                "https://github.com/Ttl/ComfyUi_NNLatentUpscale"
+            ],
+            "id": "nnlatent",
+            "install_type": "git-clone",
+            "preemptions": [
+                "NNLatentUpscale"
+            ],
+            "reference": "https://github.com/Ttl/ComfyUi_NNLatentUpscale",
+            "title": "ComfyUI Neural Network Latent Upscale"
+        },
+        {
+            "author": "spro",
+            "description": "Nodes: Latent Mirror. Node to mirror a latent along the Y (vertical / left to right) or X (horizontal / top to bottom) axis.",
+            "files": [
+                "https://github.com/spro/comfyui-mirror"
+            ],
+            "id": "latentmirror",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spro/comfyui-mirror",
+            "title": "Latent Mirror node for ComfyUI"
+        },
+        {
+            "author": "Tropfchen",
+            "description": "Tired of forgetting and misspelling often weird names of embeddings you use? Or perhaps you use only one, cause you forgot you have tens of them installed?",
+            "files": [
+                "https://github.com/Tropfchen/ComfyUI-Embedding_Picker"
+            ],
+            "id": "embedding-picker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Tropfchen/ComfyUI-Embedding_Picker",
+            "title": "Embedding Picker"
+        },
+        {
+            "author": "Acly",
+            "description": "Provides nodes and server API extensions geared towards using ComfyUI as a backend for external tools.",
+            "files": [
+                "https://github.com/Acly/comfyui-tooling-nodes"
+            ],
+            "id": "external-tooling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Acly/comfyui-tooling-nodes",
+            "title": "ComfyUI Nodes for External Tooling"
+        },
+        {
+            "author": "Acly",
+            "description": "Nodes for better inpainting with ComfyUI. Adds various ways to pre-process inpaint areas. Supports the Fooocus inpaint model, a small and flexible patch which can be applied to any SDXL checkpoint and will improve consistency when generating masked areas.",
+            "files": [
+                "https://github.com/Acly/comfyui-inpaint-nodes"
+            ],
+            "id": "inpaint-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Acly/comfyui-inpaint-nodes",
+            "title": "ComfyUI Inpaint Nodes"
+        },
+        {
+            "author": "picturesonpictures",
+            "description": "A collection of custom nodes for ComfyUI. Includes a quick canny edge detection node with unconventional settings, simple LoRA stack nodes for workflow efficiency, and a customizable aspect ratio node.",
+            "files": [
+                "https://github.com/picturesonpictures/comfy_PoP"
+            ],
+            "id": "pop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/picturesonpictures/comfy_PoP",
+            "title": "comfy_PoP"
+        },
+        {
+            "author": "Dream Project",
+            "description": "This extension offers various nodes that are useful for Deforum-like animations in ComfyUI.",
+            "files": [
+                "https://github.com/alt-key-project/comfyui-dream-project"
+            ],
+            "id": "dream-anime",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alt-key-project/comfyui-dream-project",
+            "title": "Dream Project Animation Nodes"
+        },
+        {
+            "author": "Dream Project",
+            "description": "Provide utilities for batch based video generation workflows (s.a. AnimateDiff and Stable Video Diffusion).",
+            "files": [
+                "https://github.com/alt-key-project/comfyui-dream-video-batches"
+            ],
+            "id": "dream-video",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alt-key-project/comfyui-dream-video-batches",
+            "title": "Dream Video Batches"
+        },
+        {
+            "author": "seanlynch",
+            "description": "This package contains three nodes to help you compute optical flow between pairs of images, usually adjacent frames in a video, visualize the flow, and apply the flow to another image of the same dimensions. Most of the code is from Deforum, so this is released under the same license (MIT).",
+            "files": [
+                "https://github.com/seanlynch/comfyui-optical-flow"
+            ],
+            "id": "optical-flow",
+            "install_type": "git-clone",
+            "reference": "https://github.com/seanlynch/comfyui-optical-flow",
+            "title": "ComfyUI Optical Flow"
+        },
+        {
+            "author": "ealkanat",
+            "description": "ComfyUI Easy Padding is a simple custom ComfyUI node that helps you to add padding to images on ComfyUI.",
+            "files": [
+                "https://github.com/ealkanat/comfyui_easy_padding"
+            ],
+            "id": "easy-padding",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ealkanat/comfyui_easy_padding",
+            "title": "ComfyUI Easy Padding"
+        },
+        {
+            "author": "ArtBot2023",
+            "description": "Character face swap with LoRA and embeddings.",
+            "files": [
+                "https://github.com/ArtBot2023/CharacterFaceSwap"
+            ],
+            "id": "char-faceswap",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ArtBot2023/CharacterFaceSwap",
+            "title": "Character Face Swap"
+        },
+        {
+            "author": "mav-rik",
+            "description": "This is a copy of [a/facerestore custom node](https://civitai.com/models/24690/comfyui-facerestore-node) with a bit of a change to support CodeFormer Fidelity parameter. These ComfyUI nodes can be used to restore faces in images similar to the face restore option in AUTOMATIC1111 webui.\nNOTE: To use this node, you need to download the face restoration model and face detection model from the 'Install models' menu.",
+            "files": [
+                "https://github.com/mav-rik/facerestore_cf"
+            ],
+            "id": "face-cf",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mav-rik/facerestore_cf",
+            "title": "Facerestore CF (Code Former)"
+        },
+        {
+            "author": "braintacles",
+            "description": "Nodes: CLIPTextEncodeSDXL-Multi-IO, CLIPTextEncodeSDXL-Pipe, Empty Latent Image from Aspect-Ratio, Random Find and Replace.",
+            "files": [
+                "https://github.com/braintacles/braintacles-comfyui-nodes"
+            ],
+            "id": "braintacles",
+            "install_type": "git-clone",
+            "reference": "https://github.com/braintacles/braintacles-comfyui-nodes",
+            "title": "braintacles-nodes"
+        },
+        {
+            "author": "hayden-fr",
+            "description": "Manage models: browsing, download and delete.",
+            "files": [
+                "https://github.com/hayden-fr/ComfyUI-Model-Manager"
+            ],
+            "id": "modelmanager",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hayden-fr/ComfyUI-Model-Manager",
+            "title": "ComfyUI-Model-Manager"
+        },
+        {
+            "author": "hayden-fr",
+            "description": "Image Browsing: browsing, download and delete.",
+            "files": [
+                "https://github.com/hayden-fr/ComfyUI-Image-Browsing"
+            ],
+            "id": "image-browsing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hayden-fr/ComfyUI-Image-Browsing",
+            "title": "ComfyUI-Image-Browsing"
+        },
+        {
+            "author": "ali1234",
+            "description": "Implements iteration over sequences within a single workflow run. [w/NOTE: This node replaces the execution of ComfyUI for iterative processing functionality.]",
+            "files": [
+                "https://github.com/ali1234/comfyui-job-iterator"
+            ],
+            "id": "job-iterator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ali1234/comfyui-job-iterator",
+            "title": "comfyui-job-iterator"
+        },
+        {
+            "author": "jmkl",
+            "description": "ComfyUI custom user.css and some script stuff. mainly for web interface.",
+            "files": [
+                "https://github.com/jmkl/ComfyUI-ricing"
+            ],
+            "id": "ricing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jmkl/ComfyUI-ricing",
+            "title": "ComfyUI Ricing"
+        },
+        {
+            "author": "budihartono",
+            "description": "Nodes: OTX Multiple Values, OTX KSampler Feeder. This extension provides custom nodes for ComfyUI created for personal projects. Made available for reference. Nodes may be updated or changed intermittently or not at all. Review & test before use.",
+            "files": [
+                "https://github.com/budihartono/comfyui_otonx_nodes"
+            ],
+            "id": "otonx",
+            "install_type": "git-clone",
+            "reference": "https://github.com/budihartono/comfyui_otonx_nodes",
+            "title": "Otonx's Custom Nodes"
+        },
+        {
+            "author": "ramyma",
+            "description": "Nodes: Base64Image Input Node, Base64Image Output Node. [a/A8R8](https://github.com/ramyma/a8r8) supporting nodes to integrate with ComfyUI",
+            "files": [
+                "https://github.com/ramyma/A8R8_ComfyUI_nodes"
+            ],
+            "id": "a8r8",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ramyma/A8R8_ComfyUI_nodes",
+            "title": "A8R8 ComfyUI Nodes"
+        },
+        {
+            "author": "spinagon",
+            "description": "Node for generating almost seamless textures, based on similar setting from A1111.",
+            "files": [
+                "https://github.com/spinagon/ComfyUI-seamless-tiling"
+            ],
+            "id": "seamless",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spinagon/ComfyUI-seamless-tiling",
+            "title": "Seamless tiling Node for ComfyUI"
+        },
+        {
+            "author": "BiffMunky",
+            "description": "A small set of nodes I created for various numerical and text inputs.  Features image saver with ability to have JSON saved to separate folder, parameter collection nodes, two aesthetic scoring models, switches for text and numbers, and conversion of string to numeric and vice versa.",
+            "files": [
+                "https://github.com/tusharbhutt/Endless-Nodes"
+            ],
+            "id": "endless",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tusharbhutt/Endless-Nodes",
+            "title": "Endless \ufe0f\ud83c\udf0a\u2728 Nodes"
+        },
+        {
+            "author": "spacepxl",
+            "description": "Add Image Save nodes for TIFF 16 bit and EXR 32 bit formats. Probably only useful if you're applying a LUT or other color corrections, and care about preserving as much color accuracy as possible.",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-HQ-Image-Save"
+            ],
+            "id": "hq-image-save",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spacepxl/ComfyUI-HQ-Image-Save",
+            "title": "ComfyUI-HQ-Image-Save"
+        },
+        {
+            "author": "spacepxl",
+            "description": "Image and matte filtering nodes for ComfyUI `image/filters/*`",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-Image-Filters"
+            ],
+            "id": "image-fitlers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spacepxl/ComfyUI-Image-Filters",
+            "title": "ComfyUI-Image-Filters"
+        },
+        {
+            "author": "spacepxl",
+            "description": "Unofficial ComfyUI implementation of [a/RAVE](https://rave-video.github.io/)",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-RAVE"
+            ],
+            "id": "rave",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spacepxl/ComfyUI-RAVE",
+            "title": "ComfyUI-RAVE"
+        },
+        {
+            "author": "spacepxl",
+            "description": "Basic support for StyleGAN2 and StyleGAN3 models.",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-StyleGan"
+            ],
+            "id": "stylegan",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spacepxl/ComfyUI-StyleGan",
+            "title": "ComfyUI-StyleGan"
+        },
+        {
+            "author": "spacepxl",
+            "description": "[a/https://huggingface.co/microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft)\nLarge or base model, support for captioning and bbox task modes, more coming soon.",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-Florence-2"
+            ],
+            "id": "florence2-spacepxl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spacepxl/ComfyUI-Florence-2",
+            "title": "ComfyUI-Florence-2"
+        },
+        {
+            "author": "PTA",
+            "description": "A ComfyUI extension to apply better nodes layout algorithm to ComfyUI workflow (mostly for visualization purpose)",
+            "files": [
+                "https://github.com/phineas-pta/comfyui-auto-nodes-layout"
+            ],
+            "id": "autolayout",
+            "install_type": "git-clone",
+            "reference": "https://github.com/phineas-pta/comfyui-auto-nodes-layout",
+            "title": "auto nodes layout"
+        },
+        {
+            "author": "receyuki",
+            "description": "The ultimate solution for managing image metadata and multi-tool compatibility. ComfyUI node version of the SD Prompt Reader.",
+            "files": [
+                "https://github.com/receyuki/comfyui-prompt-reader-node"
+            ],
+            "id": "sdpromptreader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/receyuki/comfyui-prompt-reader-node",
+            "title": "SD Prompt Reader"
+        },
+        {
+            "author": "rklaffehn",
+            "description": "Nodes: RK_CivitAIMetaChecker, RK_CivitAIAddHashes.",
+            "files": [
+                "https://github.com/rklaffehn/rk-comfy-nodes"
+            ],
+            "id": "rknodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/rklaffehn/rk-comfy-nodes",
+            "title": "rk-comfy-nodes"
+        },
+        {
+            "author": "cubiq",
+            "description": "Essential nodes that are weirdly missing from ComfyUI core. With few exceptions they are new features and not commodities. I hope this will be just a temporary repository until the nodes get included into ComfyUI.",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_essentials"
+            ],
+            "id": "essentials",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cubiq/ComfyUI_essentials",
+            "title": "ComfyUI Essentials"
+        },
+        {
+            "author": "Clybius",
+            "description": "Nodes: Latent Diffusion Mega Modifier. ComfyUI nodes which modify the latent during the diffusion process. (Sharpness, Tonemap, Rescale, Extra Noise)",
+            "files": [
+                "https://github.com/Clybius/ComfyUI-Latent-Modifiers"
+            ],
+            "id": "latent-modifier",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Clybius/ComfyUI-Latent-Modifiers",
+            "title": "ComfyUI-Latent-Modifiers"
+        },
+        {
+            "author": "Clybius",
+            "description": "Nodes: SamplerCustomNoise, SamplerCustomNoiseDuo, SamplerCustomModelMixtureDuo, SamplerRES_Momentumized, SamplerDPMPP_DualSDE_Momentumized, SamplerCLYB_4M_SDE_Momentumized, SamplerTTM, SamplerLCMCustom\nThis extension provides various custom samplers not offered by the default nodes in ComfyUI.",
+            "files": [
+                "https://github.com/Clybius/ComfyUI-Extra-Samplers"
+            ],
+            "id": "extra-samplers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Clybius/ComfyUI-Extra-Samplers",
+            "title": "ComfyUI Extra Samplers"
+        },
+        {
+            "author": "mcmonkeyprojects",
+            "description": "Adds nodes for Dynamic Thresholding, CFG scheduling, and related techniques.",
+            "files": [
+                "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding"
+            ],
+            "id": "dynamic-thresholding",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding",
+            "title": "Dynamic Thresholding"
+        },
+        {
+            "author": "Tropfchen",
+            "description": "A slightly different Resolution Selector node, allowing to freely change base resolution and aspect ratio, with options to maintain the pixel count or use the base resolution as the highest or lowest dimension.",
+            "files": [
+                "https://github.com/Tropfchen/ComfyUI-yaResolutionSelector"
+            ],
+            "id": "yars",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Tropfchen/ComfyUI-yaResolutionSelector",
+            "title": "YARS: Yet Another Resolution Selector"
+        },
+        {
+            "author": "chrisgoringe",
+            "description": "Nodes to create small variations on noise, to shape noise, and to control noise in batches. Replaces the old 'variation-seed' nodes.",
+            "files": [
+                "https://github.com/chrisgoringe/cg-noisetools"
+            ],
+            "id": "cg-noisetools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chrisgoringe/cg-noisetools",
+            "title": "Noise variation and batch noise tools"
+        },
+        {
+            "author": "chrisgoringe",
+            "description": "A custom node that pauses the flow while you choose which image (or latent) to pass on to the rest of the workflow.",
+            "files": [
+                "https://github.com/chrisgoringe/cg-image-picker"
+            ],
+            "id": "image-chooser",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chrisgoringe/cg-image-picker",
+            "title": "Image chooser"
+        },
+        {
+            "author": "chrisgoringe",
+            "description": "A set of nodes that allow data to be 'broadcast' to some or all unconnected inputs. Greatly reduces link spaghetti.",
+            "files": [
+                "https://github.com/chrisgoringe/cg-use-everywhere"
+            ],
+            "id": "ue",
+            "install_type": "git-clone",
+            "nodename_pattern": "(^(Prompts|Anything) Everywhere|Simple String)",
+            "reference": "https://github.com/chrisgoringe/cg-use-everywhere",
+            "title": "Use Everywhere (UE Nodes)"
+        },
+        {
+            "author": "chrisgoringe",
+            "description": "Prompt Info",
+            "files": [
+                "https://github.com/chrisgoringe/cg-prompt-info"
+            ],
+            "id": "promptinfo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chrisgoringe/cg-prompt-info",
+            "title": "Prompt Info"
+        },
+        {
+            "author": "TGu-97",
+            "description": "Nodes: MPN Switch, MPN Reroute, PN Switch. This is a set of custom nodes for ComfyUI. Mainly focus on control switches.",
+            "files": [
+                "https://github.com/TGu-97/ComfyUI-TGu-utils"
+            ],
+            "id": "tgu",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TGu-97/ComfyUI-TGu-utils",
+            "title": "TGu Utilities"
+        },
+        {
+            "author": "seanlynch",
+            "description": "Nodes: SRL Conditional Interrupt, SRL Format String, SRL Eval, SRL Filter Image List. This is a collection of nodes I find useful. Note that at least one module allows execution of arbitrary code. Do not use any of these nodes on a system that allow untrusted users to control workflows or inputs.[w/WARNING: The custom nodes in this extension are vulnerable to **security risks** because they allow the execution of arbitrary code through the workflow]",
+            "files": [
+                "https://github.com/seanlynch/srl-nodes"
+            ],
+            "id": "srl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/seanlynch/srl-nodes",
+            "title": "SRL's nodes"
+        },
+        {
+            "author": "alpertunga-bile",
+            "description": "Custom AI prompt generator node for ComfyUI.",
+            "files": [
+                "https://github.com/alpertunga-bile/prompt-generator-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/alpertunga-bile/prompt-generator-comfyui",
+            "title": "prompt-generator"
+        },
+        {
+            "author": "kijai",
+            "description": "Various quality of life -nodes for ComfyUI, mostly just visual stuff to improve usability.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-KJNodes"
+            ],
+            "id": "kjnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-KJNodes",
+            "title": "KJNodes for ComfyUI"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI- CCSR upscaler node",
+            "files": [
+                "https://github.com/kijai/ComfyUI-CCSR"
+            ],
+            "id": "ccsr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-CCSR",
+            "title": "ComfyUI-CCSR"
+        },
+        {
+            "author": "kijai",
+            "description": "Preliminary use of SVD in ComfyUI.\nNOTE: Quick Implementation, Unstable. See details on repositories.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-SVD"
+            ],
+            "id": "kijai-svd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-SVD",
+            "title": "ComfyUI-SVD"
+        },
+        {
+            "author": "kijai",
+            "description": "This is a wrapper node for Marigold depth estimation: [https://github.com/prs-eth/Marigold](https://github.com/kijai/ComfyUI-Marigold). Currently using the same diffusers pipeline as in the original implementation, so in addition to the custom node, you need the model in diffusers format.\nNOTE: See details in repo to install.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-Marigold"
+            ],
+            "id": "marigold",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-Marigold",
+            "title": "Marigold depth estimation in ComfyUI"
+        },
+        {
+            "author": "kijai",
+            "description": "This is a diffusers (0.27.2) wrapper node for Geowizard: [https://github.com/fuxiao0719/GeoWizard]. The model is autodownloaded from Hugginface to ComfyUI/models/diffusers/geowizard",
+            "files": [
+                "https://github.com/kijai/ComfyUI-Geowizard"
+            ],
+            "id": "geowizard",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-Geowizard",
+            "title": "Geowizard depth and normal estimation in ComfyUI"
+        },
+        {
+            "author": "kijai",
+            "description": "Fast and accurate monocular depth estimation.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-depth-fm"
+            ],
+            "id": "depth-fm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-depth-fm",
+            "title": "ComfyUI-depth-fm"
+        },
+        {
+            "author": "kijai",
+            "description": "Node to use [a/DDColor](https://github.com/piddnad/DDColor) in ComfyUI.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DDColor"
+            ],
+            "id": "ddcolor-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-DDColor",
+            "title": "ComfyUI-DDColor"
+        },
+        {
+            "author": "kijai",
+            "description": "This is a trainer for AnimateDiff MotionLoRAs, based on the implementation of MotionDirector by ExponentialML.\nNOTE:[a/ADMotionDirector](https://github.com/ExponentialML/AnimateDiff-MotionDirector)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-ADMotionDirector"
+            ],
+            "id": "motionlora-trainer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-ADMotionDirector",
+            "title": "Animatediff MotionLoRA Trainer"
+        },
+        {
+            "author": "kijai",
+            "description": "Moondream image to text query node with batch support",
+            "files": [
+                "https://github.com/kijai/ComfyUI-moondream"
+            ],
+            "id": "moondream",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-moondream",
+            "title": "ComfyUI-moondream"
+        },
+        {
+            "author": "kijai",
+            "description": "Wrapper nodes to use SUPIR upscaling process in ComfyUI",
+            "files": [
+                "https://github.com/kijai/ComfyUI-SUPIR"
+            ],
+            "id": "supir",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-SUPIR",
+            "title": "ComfyUI-SUPIR"
+        },
+        {
+            "author": "kijai",
+            "description": "Wrapper nodes to use DynamiCrafter image2video and frame interpolation models in ComfyUI\nAnd this extension supports ToonCrafter as well",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DynamiCrafterWrapper"
+            ],
+            "id": "dynamicrafter-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-DynamiCrafterWrapper",
+            "title": "ComfyUI-DynamiCrafterWrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Node to use [a/APISR](https://github.com/Kiteretsu77/APISR) upscale models in ComfyUI.[w/NOTE: repo name is changed from ComfyUI-APISR -> ComfyUI-APISR-KJ]",
+            "files": [
+                "https://github.com/kijai/ComfyUI-APISR-KJ"
+            ],
+            "id": "apisr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-APISR-KJ",
+            "title": "ComfyUI-APISR"
+        },
+        {
+            "author": "kijai",
+            "description": "This is simplified implementation of the [a/DiffusionLight](https://github.com/DiffusionLight/DiffusionLight) method of creating light probes. You will need the included LoRA, place it in ComfyUI/loras folder like usual, it's converted from the original diffusers one.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DiffusionLight"
+            ],
+            "id": "diffusionlight",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-DiffusionLight",
+            "title": "DiffusionLight implementation for ComfyUI"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI wrapper nodes to use the Diffusers implementation of ELLA",
+            "files": [
+                "https://github.com/kijai/ComfyUI-ELLA-wrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-ELLA-wrapper",
+            "title": "ComfyUI-ELLA-wrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI wrapper node to test LaVi-Bridge using Diffusers",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LaVi-Bridge-Wrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-LaVi-Bridge-Wrapper",
+            "title": "ComfyUI-LaVi-Bridge-Wrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI wrapper nodes to use the Diffusers implementation of BrushNet",
+            "files": [
+                "https://github.com/kijai/ComfyUI-BrushNet-Wrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-BrushNet-Wrapper",
+            "title": "ComfyUI-BrushNet-Wrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI native nodes for IC-Light",
+            "files": [
+                "https://github.com/kijai/ComfyUI-IC-Light"
+            ],
+            "id": "ic-light-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-IC-Light",
+            "title": "ComfyUI-IC-Light"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI nodes to use [a/DepthAnythingV2](https://depth-anything-v2.github.io/)\nNOTE:Models autodownload to ComfyUI/models/depthanything from [a/https://huggingface.co/Kijai/DepthAnythingV2-safetensors/tree/main](https://huggingface.co/Kijai/DepthAnythingV2-safetensors/tree/main)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DepthAnythingV2"
+            ],
+            "id": "depth-anything-v2",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-DepthAnythingV2",
+            "title": "ComfyUI-DepthAnythingV2"
+        },
+        {
+            "author": "kijai",
+            "description": "Nodes to use Florence2 VLM for image vision tasks: object detection, captioning, segmentation and ocr",
+            "files": [
+                "https://github.com/kijai/ComfyUI-Florence2"
+            ],
+            "id": "florence2-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-Florence2",
+            "title": "ComfyUI-Florence2"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI wrapper nodes for Lumina models",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LuminaWrapper"
+            ],
+            "id": "lumina",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-LuminaWrapper",
+            "title": "ComfyUI-LuminaWrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Optimized wrapper nodes for MimicMotion: [a/https://github.com/tencent/MimicMotion](https://github.com/tencent/MimicMotion)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-MimicMotionWrapper"
+            ],
+            "id": "mimicmotion-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-MimicMotionWrapper",
+            "title": "ComfyUI-MimicMotionWrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Wrapper nodes for OpenDiT: [a/OpenDiT](https://github.com/NUS-HPC-AI-Lab/OpenDiT/), supports Open-Sora t2i and i2i",
+            "files": [
+                "https://github.com/kijai/ComfyUI-OpenDiTWrapper"
+            ],
+            "id": "opendit-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-OpenDiTWrapper",
+            "title": "ComfyUI-OpenDiTWrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Nodes for [a/LivePortrait](https://github.com/KwaiVGI/LivePortrait)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LivePortraitKJ"
+            ],
+            "id": "liveportrait-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-LivePortraitKJ",
+            "title": "ComfyUI-LivePortraitKJ"
+        },
+        {
+            "author": "kijai",
+            "description": "Rudimentary wrapper that runs [a/Kwai-Kolors](https://huggingface.co/Kwai-Kolors/Kolors) text2image pipeline using diffusers.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-KwaiKolorsWrapper"
+            ],
+            "id": "kwaikolors",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-KwaiKolorsWrapper",
+            "title": "ComfyUI-KwaiKolorsWrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Nodes to use [a/segment-anything-2](https://github.com/facebookresearch/segment-anything-2) for image or video segmentation.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-segment-anything-2"
+            ],
+            "id": "segment-anything-2",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-segment-anything-2",
+            "title": "ComfyUI-segment-anything-2"
+        },
+        {
+            "author": "kijai",
+            "description": "These nodes include my wrapper for the original diffusers pipeline, as well as work in progress native ComfyUI implementation.\nFor the diffusers wrapper models should be downloaded automatically, for the native version you can get the unet [a/here](https://huggingface.co/Kijai/ControlNeXt-SVD-V2-Comfy/blob/main/controlnext-svd_v2-unet-fp16_converted.safetensors).",
+            "files": [
+                "https://github.com/kijai/ComfyUI-ControlNeXt-SVD"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-ControlNeXt-SVD",
+            "title": "ComfyUI nodes for ControlNext-SVD v2"
+        },
+        {
+            "author": "kijai",
+            "description": "Currently supports LoRA training, and untested full finetune with code from kohya's scripts: [a/https://github.com/kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-FluxTrainer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-FluxTrainer",
+            "title": "ComfyUI Flux Trainer"
+        },
+        {
+            "author": "kijai",
+            "description": "Diffusers wrapper for CogVideoX -models: [a/https://github.com/THUDM/CogVideo](https://github.com/THUDM/CogVideo)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-CogVideoXWrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-CogVideoXWrapper",
+            "title": "ComfyUI CogVideoX Wrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Nodes to use the OneVision LLaVA models: [a/https://github.com/LLaVA-VL/LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LLaVA-OneVision"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-LLaVA-OneVision",
+            "title": "ComfyUI Llava-OneVision"
+        },
+        {
+            "author": "hhhzzyang",
+            "description": "Nodes: LamaaModelLoad, LamaApply, YamlConfigLoader. a costumer node is realized to remove anything/inpainting anything from a picture by mask inpainting.[w/WARN:This extension includes the entire model, which can result in a very long initial installation time, and there may be some compatibility issues with older dependencies and ComfyUI.]",
+            "files": [
+                "https://github.com/hhhzzyang/Comfyui_Lama"
+            ],
+            "id": "lama",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hhhzzyang/Comfyui_Lama",
+            "title": "Comfyui-Lama"
+        },
+        {
+            "author": "audioscavenger",
+            "description": "Upgrade the Save File node: customize subfolders, file names with checkpoint names, or any sampler attribute your want! [w/NOTE: This node is a fork from @thedyze, since the [a/original repository](https://github.com/thedyze/save-image-extended-comfyui) is no longer maintained. Simply *uninstall* the original version and **REINSTALL** this one.]",
+            "files": [
+                "https://github.com/audioscavenger/save-image-extended-comfyui"
+            ],
+            "id": "save-image-extended",
+            "install_type": "git-clone",
+            "reference": "https://github.com/audioscavenger/save-image-extended-comfyui",
+            "title": "Save Image Extended for ComfyUI"
+        },
+        {
+            "author": "SOELexicon",
+            "description": "ComfyUI-LexTools is a Python-based image processing and analysis toolkit that uses machine learning models for semantic image segmentation, image scoring, and image captioning.",
+            "files": [
+                "https://github.com/SOELexicon/ComfyUI-LexTools"
+            ],
+            "id": "lextools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SOELexicon/ComfyUI-LexTools",
+            "title": "ComfyUI-LexTools"
+        },
+        {
+            "author": "mikkel",
+            "description": "The ComfyUI Text Overlay Plugin provides functionalities for superimposing text on images. Users can select different font types, set text size, choose color, and adjust the text's position on the image.",
+            "files": [
+                "https://github.com/mikkel/ComfyUI-text-overlay"
+            ],
+            "id": "textoverlay-mikkel",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mikkel/ComfyUI-text-overlay",
+            "title": "ComfyUI - Text Overlay Plugin"
+        },
+        {
+            "author": "avatechai",
+            "description": "Include nodes for sam + bpy operation, that allows workflow creations for generative 2d character rig.",
+            "files": [
+                "https://github.com/avatechai/avatar-graph-comfyui"
+            ],
+            "id": "avatar-graph",
+            "install_type": "git-clone",
+            "reference": "https://github.com/avatechai/avatar-graph-comfyui",
+            "title": "Avatar Graph"
+        },
+        {
+            "author": "TRI3D-LC",
+            "description": "Nodes: tri3d-extract-hand, tri3d-fuzzification, tri3d-position-hands, tri3d-atr-parse.",
+            "files": [
+                "https://github.com/TRI3D-LC/tri3d-comfyui-nodes"
+            ],
+            "id": "tri3d",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TRI3D-LC/tri3d-comfyui-nodes",
+            "title": "tri3d-comfyui-nodes"
+        },
+        {
+            "author": "TRI3D-LC",
+            "description": "Nodes: add-image-miro-board.",
+            "files": [
+                "https://github.com/TRI3D-LC/ComfyUI-MiroBoard"
+            ],
+            "id": "miroboard",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TRI3D-LC/ComfyUI-MiroBoard",
+            "title": "ComfyUI-MiroBoard"
+        },
+        {
+            "author": "storyicon",
+            "description": "Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.",
+            "files": [
+                "https://github.com/storyicon/comfyui_segment_anything"
+            ],
+            "id": "sam",
+            "install_type": "git-clone",
+            "reference": "https://github.com/storyicon/comfyui_segment_anything",
+            "title": "segment anything"
+        },
+        {
+            "author": "storyicon",
+            "description": "Nodes:MuseVImg2Vid (comfyui_musev_evolved)\nNOTE: Download [a/MuseV](https://huggingface.co/TMElyralab/MuseV) to ComfyUI/models/diffusers",
+            "files": [
+                "https://github.com/storyicon/comfyui_musev_evolved"
+            ],
+            "id": "musev-evolved",
+            "install_type": "git-clone",
+            "reference": "https://github.com/storyicon/comfyui_musev_evolved",
+            "title": "ComfyUI MuseV Evolved"
+        },
+        {
+            "author": "a1lazydog",
+            "description": "Load mp3 files and use the audio nodes to power animations and prompt scheduling. Use with FizzNodes.",
+            "files": [
+                "https://github.com/a1lazydog/ComfyUI-AudioScheduler"
+            ],
+            "id": "audioscheduler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/a1lazydog/ComfyUI-AudioScheduler",
+            "title": "ComfyUI-AudioScheduler"
+        },
+        {
+            "author": "whatbirdisthat",
+            "description": "Cyberdolphin Suite of ComfyUI nodes for wiring up things.",
+            "files": [
+                "https://github.com/whatbirdisthat/cyberdolphin"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/whatbirdisthat/cyberdolphin",
+            "title": "cyberdolphin"
+        },
+        {
+            "author": "chrish-slingshot",
+            "description": "A mixture of effects and quality of life nodes. Nodes: ImageGlitcher (gives an image a cool glitchy effect), ColorStylizer (highlights a single color in an image), QueryLocalLLM (queries a local LLM API though oobabooga), SDXLReslution (resolution picker for the standard SDXL resolutions, the complete list), SDXLResolutionSplit (splits the SDXL resolution into width and height). ",
+            "files": [
+                "https://github.com/chrish-slingshot/CrasHUtils"
+            ],
+            "id": "crash",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chrish-slingshot/CrasHUtils",
+            "title": "CrasH Utils"
+        },
+        {
+            "author": "spinagon",
+            "description": "Nodes: Image Resize (seam carving). Seam carving (image resize) for ComfyUI. Based on [a/https://github.com/li-plus/seam-carving](https://github.com/li-plus/seam-carving). With seam carving algorithm, the image could be intelligently resized while keeping the important contents undistorted. The carving process could be further guided, so that an object could be removed from the image without apparent artifacts.",
+            "files": [
+                "https://github.com/spinagon/ComfyUI-seam-carving"
+            ],
+            "id": "seamcarving",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spinagon/ComfyUI-seam-carving",
+            "title": "ComfyUI-seam-carving"
+        },
+        {
+            "author": "YMC",
+            "description": "ymc 's nodes for comfyui. This extension is composed of nodes that provide various utility features such as text, region, and I/O.",
+            "files": [
+                "https://github.com/YMC-GitHub/ymc-node-suite-comfyui"
+            ],
+            "id": "ymc-suite",
+            "install_type": "git-clone",
+            "reference": "https://github.com/YMC-GitHub/ymc-node-suite-comfyui",
+            "title": "ymc-node-suite-comfyui"
+        },
+        {
+            "author": "YMC",
+            "description": "some comfyui custom nodes to set it as known type",
+            "files": [
+                "https://github.com/YMC-GitHub/ymc-node-as-x-type"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/YMC-GitHub/ymc-node-as-x-type",
+            "title": "ymc-node-as-x-type"
+        },
+        {
+            "author": "chibiace",
+            "description": "Nodes:Loader, Prompts, ImageTool, Wildcards, LoadEmbedding, ConditionText, SaveImages, ...",
+            "files": [
+                "https://github.com/chibiace/ComfyUI-Chibi-Nodes"
+            ],
+            "id": "chibi",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chibiace/ComfyUI-Chibi-Nodes",
+            "title": "ComfyUI-Chibi-Nodes"
+        },
+        {
+            "author": "DigitalIO",
+            "description": "Wildcard implementation that can be reproduced with workflows.",
+            "files": [
+                "https://github.com/DigitalIO/ComfyUI-stable-wildcards"
+            ],
+            "id": "stable-wildcards",
+            "install_type": "git-clone",
+            "reference": "https://github.com/DigitalIO/ComfyUI-stable-wildcards",
+            "title": "ComfyUI-stable-wildcards"
+        },
+        {
+            "author": "THtianhao",
+            "description": "Nodes:RetainFace, FaceFusion, RatioMerge2Image, MaskMerge2Image, ReplaceBoxImg, ExpandMaskBox, FaceSkin, SkinRetouching, PortraitEnhancement, ...",
+            "files": [
+                "https://github.com/THtianhao/ComfyUI-Portrait-Maker"
+            ],
+            "id": "portrait-maker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/THtianhao/ComfyUI-Portrait-Maker",
+            "title": "ComfyUI-Portrait-Maker"
+        },
+        {
+            "author": "THtianhao",
+            "description": "The official ComfyUI version of facechain greatly improves the speed of reasoning and has great custom process controls.",
+            "files": [
+                "https://github.com/THtianhao/ComfyUI-FaceChain"
+            ],
+            "id": "facechain",
+            "install_type": "git-clone",
+            "reference": "https://github.com/THtianhao/ComfyUI-FaceChain",
+            "title": "ComfyUI-FaceChain"
+        },
+        {
+            "author": "zer0TF",
+            "description": "Adds a configurable folder watcher that auto-converts Comfy metadata into a Civitai-friendly format for automatic resource tagging when you upload images. Oh, and it makes your UI awesome, too. \ud83d\udc9c",
+            "files": [
+                "https://github.com/zer0TF/cute-comfy"
+            ],
+            "id": "cutecomfy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/zer0TF/cute-comfy",
+            "title": "Cute Comfy"
+        },
+        {
+            "author": "chflame163",
+            "description": "A text-to-speech plugin used under ComfyUI. It utilizes the Microsoft Speech TTS interface to convert text content into MP3 format audio files.",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_MSSpeech_TTS"
+            ],
+            "id": "msspeech",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chflame163/ComfyUI_MSSpeech_TTS",
+            "title": "ComfyUI_MSSpeech_TTS"
+        },
+        {
+            "author": "chflame163",
+            "description": "Nodes:Word Cloud, Load Text File",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_WordCloud"
+            ],
+            "id": "wordcloud",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chflame163/ComfyUI_WordCloud",
+            "title": "ComfyUI_WordCloud"
+        },
+        {
+            "author": "chflame163",
+            "description": "A set of nodes for ComfyUI it generate image like Adobe Photoshop's Layer Style. the Drop Shadow is first completed node, and follow-up work is in progress.",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_LayerStyle"
+            ],
+            "id": "layerstyle",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chflame163/ComfyUI_LayerStyle",
+            "title": "ComfyUI Layer Style"
+        },
+        {
+            "author": "chflame163",
+            "description": "A custom node for ComfyUI. It compare two images to rate facial similarity.",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_FaceSimilarity"
+            ],
+            "id": "face-similarity",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chflame163/ComfyUI_FaceSimilarity",
+            "title": "ComfyUI Face Similarity"
+        },
+        {
+            "author": "chflame163",
+            "description": "[a/CatVTON](https://github.com/Zheng-Chong/CatVTON) warpper for ComfyUI",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_CatVTON_Wrapper"
+            ],
+            "id": "catvton-wrapper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chflame163/ComfyUI_CatVTON_Wrapper",
+            "title": "ComfyUI_CatVTON_Wrapper"
+        },
+        {
+            "author": "drustan-hawk",
+            "description": "Small collection of typed primitive nodes.",
+            "files": [
+                "https://github.com/drustan-hawk/primitive-types"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/drustan-hawk/primitive-types",
+            "title": "primitive-types"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "3D, ScreenShareNode & FloatingVideoNode, SpeechRecognition & SpeechSynthesis, GPT, LoadImagesFromLocal, Layers, Other Nodes, ...",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-mixlab-nodes"
+            ],
+            "id": "mixlab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-mixlab-nodes",
+            "title": "comfyui-mixlab-nodes"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "Nodes:Detect By Label.",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-ultralytics-yolo"
+            ],
+            "id": "yolo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-ultralytics-yolo",
+            "title": "comfyui-ultralytics-yolo"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "[a/openai Consistency Decoder](https://github.com/openai/consistencydecoder). After downloading the [a/OpenAI VAE model](https://openaipublic.azureedge.net/diff-vae/c9cebd3132dd9c42936d803e33424145a748843c8f716c0814838bdc8a2fe7cb/decoder.pt), place it in the `model/vae` directory for use.",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-consistency-decoder"
+            ],
+            "id": "consistency-decoder",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-consistency-decoder",
+            "title": "Consistency Decoder"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "[a/ImageReward](https://github.com/THUDM/ImageReward): Human preference learning in text-to-image generation. This is a [a/paper](https://arxiv.org/abs/2304.05977) from NeurIPS 2023",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-Image-reward"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-Image-reward",
+            "title": "comfyui-Image-reward"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "Nodes:Music Gen, Audio Play, Stable Audio",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-sound-lab"
+            ],
+            "id": "soundlab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-sound-lab",
+            "title": "comfyui-sound-lab"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "Nodes:Edit Mask",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-edit-mask"
+            ],
+            "id": "edit-mask",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-edit-mask",
+            "title": "comfyui-edit-mask"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "The ComfyUI version of [a/LivePortrait](https://github.com/KwaiVGI/LivePortrait).",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-liveportrait"
+            ],
+            "id": "liveportrait",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-liveportrait",
+            "title": "comfyui-liveportrait"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "Virtual try-on for creating a personal brand wardrobe collection.",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-try-on"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-try-on",
+            "title": "comfyui-try-on"
+        },
+        {
+            "author": "ostris",
+            "description": "This is a collection of custom nodes for ComfyUI that I made for some QOL. I will be adding much more advanced ones in the future once I get more familiar with the API.",
+            "files": [
+                "https://github.com/ostris/ostris_nodes_comfyui"
+            ],
+            "id": "ostris",
+            "install_type": "git-clone",
+            "nodename_pattern": "- Ostris$",
+            "reference": "https://github.com/ostris/ostris_nodes_comfyui",
+            "title": "Ostris Nodes ComfyUI"
+        },
+        {
+            "author": "0xbitches",
+            "description": "This custom node implements a Latent Consistency Model sampler in ComfyUI. (LCM)",
+            "files": [
+                "https://github.com/0xbitches/ComfyUI-LCM"
+            ],
+            "id": "lcm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/0xbitches/ComfyUI-LCM",
+            "title": "Latent Consistency Model for ComfyUI"
+        },
+        {
+            "author": "aszc-dev",
+            "description": "This extension contains a set of custom nodes for ComfyUI that allow you to use Core ML models in your ComfyUI workflows. The models can be obtained here, or you can convert your own models using coremltools. The main motivation behind using Core ML models in ComfyUI is to allow you to utilize the ANE (Apple Neural Engine) on Apple Silicon (M1/M2) machines to improve performance.",
+            "files": [
+                "https://github.com/aszc-dev/ComfyUI-CoreMLSuite"
+            ],
+            "id": "coreml",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aszc-dev/ComfyUI-CoreMLSuite",
+            "title": "Core ML Suite for ComfyUI"
+        },
+        {
+            "author": "taabata",
+            "description": "Nodes:Prompt editing, Word as Image",
+            "files": [
+                "https://github.com/taabata/Comfy_Syrian_Falcon_Nodes/raw/main/SyrianFalconNodes.py"
+            ],
+            "id": "syrian",
+            "install_type": "copy",
+            "reference": "https://github.com/taabata/Comfy_Syrian_Falcon_Nodes",
+            "title": "Syrian Falcon Nodes"
+        },
+        {
+            "author": "taabata",
+            "description": "ComfyUI custom nodes for inpainting/outpainting using the new latent consistency model (LCM)",
+            "files": [
+                "https://github.com/taabata/LCM_Inpaint-Outpaint_Comfy"
+            ],
+            "id": "lcm-inpaint-outpaint",
+            "install_type": "git-clone",
+            "reference": "https://github.com/taabata/LCM_Inpaint-Outpaint_Comfy",
+            "title": "LCM_Inpaint-Outpaint_Comfy"
+        },
+        {
+            "author": "noxinias",
+            "description": "Nodes: Noxin Complete Chime, Noxin Scaled Resolutions, Load from Noxin Prompt Library, Save to Noxin Prompt Library",
+            "files": [
+                "https://github.com/noxinias/ComfyUI_NoxinNodes"
+            ],
+            "id": "noxin",
+            "install_type": "git-clone",
+            "reference": "https://github.com/noxinias/ComfyUI_NoxinNodes",
+            "title": "ComfyUI_NoxinNodes"
+        },
+        {
+            "author": "apesplat",
+            "description": "Extensions/Patches: Enables linking float and integer inputs and ouputs. Values are automatically cast to the correct type and clamped to the correct range. Works with both builtin and custom nodes.[w/NOTE: This repo patches ComfyUI's validate_inputs and map_node_over_list functions while running. May break depending on your version of ComfyUI. Can be deactivated in config.yaml.]Nodes: A collection of nodes for facilitating the generation of XY plots. Capable of plotting changes over most primitive values.[w/Does not work with current version of Comfyui]",
+            "files": [
+                "https://github.com/GMapeSplat/ComfyUI_ezXY"
+            ],
+            "id": "ezxy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GMapeSplat/ComfyUI_ezXY",
+            "title": "ezXY scripts and nodes"
+        },
+        {
+            "author": "kinfolk0117",
+            "description": "Nodes:TileSplit, TileMerge.",
+            "files": [
+                "https://github.com/kinfolk0117/ComfyUI_SimpleTiles"
+            ],
+            "id": "simpletiles",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kinfolk0117/ComfyUI_SimpleTiles",
+            "title": "SimpleTiles"
+        },
+        {
+            "author": "kinfolk0117",
+            "description": "Nodes:GradientPatchModelAddDownscale (Kohya Deep Shrink).",
+            "files": [
+                "https://github.com/kinfolk0117/ComfyUI_GradientDeepShrink"
+            ],
+            "id": "deepshrink",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kinfolk0117/ComfyUI_GradientDeepShrink",
+            "title": "ComfyUI_GradientDeepShrink"
+        },
+        {
+            "author": "kinfolk0117",
+            "description": "Use [a/Pilgram2](https://github.com/mgineer85/pilgram2) filters in ComfyUI",
+            "files": [
+                "https://github.com/kinfolk0117/ComfyUI_Pilgram"
+            ],
+            "id": "pilgram",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kinfolk0117/ComfyUI_Pilgram",
+            "title": "ComfyUI_Pilgram"
+        },
+        {
+            "author": "Fictiverse",
+            "description": "Nodes:Color correction.",
+            "files": [
+                "https://github.com/Fictiverse/ComfyUI_Fictiverse"
+            ],
+            "id": "fictverse",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fictiverse/ComfyUI_Fictiverse",
+            "title": "ComfyUI Fictiverse Nodes"
+        },
+        {
+            "author": "idrirap",
+            "description": "This project is a fork of [a/https://github.com/Extraltodeus/LoadLoraWithTags](https://github.com/Extraltodeus/LoadLoraWithTags) The aim of these custom nodes is to get an easy access to the tags used to trigger a lora.",
+            "files": [
+                "https://github.com/idrirap/ComfyUI-Lora-Auto-Trigger-Words"
+            ],
+            "id": "lora-auto-trigger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/idrirap/ComfyUI-Lora-Auto-Trigger-Words",
+            "title": "ComfyUI-Lora-Auto-Trigger-Words"
+        },
+        {
+            "author": "aianimation55",
+            "description": "It's a super simple custom node for Comfy UI, to generate text, with a font size option. Useful for bigger labelling of nodes, helpful for wider screen captures or tutorials. Plus you can of course use the text within your generations.",
+            "files": [
+                "https://github.com/aianimation55/ComfyUI-FatLabels"
+            ],
+            "id": "fatlab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aianimation55/ComfyUI-FatLabels",
+            "title": "Comfy UI FatLabels"
+        },
+        {
+            "author": "noEmbryo",
+            "description": "PromptTermList (1-6): are some nodes that help with the creation of Prompts inside ComfyUI. Resolution Scale outputs image dimensions using a scale factor. Regex Text Chopper outputs the chopped parts of a text using RegEx.",
+            "files": [
+                "https://github.com/noembryo/ComfyUI-noEmbryo"
+            ],
+            "id": "noembryo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/noembryo/ComfyUI-noEmbryo",
+            "title": "noEmbryo nodes"
+        },
+        {
+            "author": "mikkel",
+            "description": "The ComfyUI Mask Bounding Box Plugin provides functionalities for selecting a specific size mask from an image. Can be combined with ClipSEG to replace any aspect of an SDXL image with an SD1.5 output.",
+            "files": [
+                "https://github.com/mikkel/comfyui-mask-boundingbox"
+            ],
+            "id": "mask-bbox",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mikkel/comfyui-mask-boundingbox",
+            "title": "ComfyUI - Mask Bounding Box"
+        },
+        {
+            "author": "ParmanBabra",
+            "description": "Nodes:Multi Lora Loader, Random (Prompt), Combine (Prompt), CSV Prompts Loader",
+            "files": [
+                "https://github.com/ParmanBabra/ComfyUI-Malefish-Custom-Scripts"
+            ],
+            "id": "malefish",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ParmanBabra/ComfyUI-Malefish-Custom-Scripts",
+            "title": "ComfyUI-Malefish-Custom-Scripts"
+        },
+        {
+            "author": "IAmMatan.com",
+            "description": "This extension adds nodes that allow you to easily serve your workflow (for example using a discord bot) ",
+            "files": [
+                "https://github.com/matan1905/ComfyUI-Serving-Toolkit"
+            ],
+            "id": "serving-toolkit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/matan1905/ComfyUI-Serving-Toolkit",
+            "title": "ComfyUI Serving toolkit"
+        },
+        {
+            "author": "PCMonsterx",
+            "description": "CSV Loader for prompt building within ComfyUI interface. Allows access to positive/negative prompts associated with a name. Selections are being pulled from CSV files.",
+            "files": [
+                "https://github.com/PCMonsterx/ComfyUI-CSV-Loader"
+            ],
+            "id": "csv-loader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/PCMonsterx/ComfyUI-CSV-Loader",
+            "title": "ComfyUI-CSV-Loader"
+        },
+        {
+            "author": "Trung0246",
+            "description": "Random nodes for ComfyUI I made to solve my struggle with ComfyUI (ex: pipe, process). Have varying quality.",
+            "files": [
+                "https://github.com/Trung0246/ComfyUI-0246"
+            ],
+            "id": "0246",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Trung0246/ComfyUI-0246",
+            "title": "ComfyUI-0246"
+        },
+        {
+            "author": "fexli",
+            "description": "Nodes:FEImagePadForOutpaint, FEColorOut, FEColor2Image, FERandomizedColor2Image",
+            "files": [
+                "https://github.com/fexli/fexli-util-node-comfyui"
+            ],
+            "id": "fexli",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fexli/fexli-util-node-comfyui",
+            "title": "fexli-util-node-comfyui"
+        },
+        {
+            "author": "AbyssYuan0",
+            "description": "Nodes:ImageOverlap-badger, FloatToInt-badger, IntToString-badger, FloatToString-badger, ImageNormalization-badger, ImageScaleToSide-badger, NovelToFizz-badger.",
+            "files": [
+                "https://github.com/AbyssYuan0/ComfyUI_BadgerTools"
+            ],
+            "id": "badger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AbyssYuan0/ComfyUI_BadgerTools",
+            "title": "ComfyUI_BadgerTools"
+        },
+        {
+            "author": "palant",
+            "description": "This custom node provides various tools for resizing images. The goal is resizing without distorting proportions, yet without having to perform any calculations with the size of the original image. If a mask is present, it is resized and modified along with the image.",
+            "files": [
+                "https://github.com/palant/image-resize-comfyui"
+            ],
+            "id": "image-resize",
+            "install_type": "git-clone",
+            "reference": "https://github.com/palant/image-resize-comfyui",
+            "title": "Image Resize for ComfyUI"
+        },
+        {
+            "author": "palant",
+            "description": "This tool will turn entire workflows or parts of them into single integrated nodes. In a way, it is similar to the Node Templates functionality but hides the inner structure. This is useful if all you want is to reuse and quickly configure a bunch of nodes without caring how they are interconnected.",
+            "files": [
+                "https://github.com/palant/integrated-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/palant/integrated-nodes-comfyui",
+            "title": "Integrated Nodes for ComfyUI"
+        },
+        {
+            "author": "palant",
+            "description": "This custom node is largely identical to the usual Save Image but allows saving images also in JPEG and WEBP formats, the latter with both lossless and lossy compression. Metadata is embedded in the images as usual, and the resulting images can be used to load a workflow.",
+            "files": [
+                "https://github.com/palant/extended-saveimage-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/palant/extended-saveimage-comfyui",
+            "title": "Extended Save Image for ComfyUI"
+        },
+        {
+            "author": "whmc76",
+            "description": "Nodes:Openpose Editor Plus",
+            "files": [
+                "https://github.com/whmc76/ComfyUI-Openpose-Editor-Plus"
+            ],
+            "id": "openpose-editor-plus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/whmc76/ComfyUI-Openpose-Editor-Plus",
+            "title": "ComfyUI-Openpose-Editor-Plus"
+        },
+        {
+            "author": "martijnat",
+            "description": "a ComfyUI plugin for previewing latents without vae decoding. Useful for showing intermediate results and can be used a faster 'preview image' if you don't wan't to use vae decode.",
+            "files": [
+                "https://github.com/martijnat/comfyui-previewlatent"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/martijnat/comfyui-previewlatent",
+            "title": "comfyui-previewlatent"
+        },
+        {
+            "author": "banodoco",
+            "description": "Steerable Motion is a ComfyUI node for batch creative interpolation. Our goal is to feature the best methods for steering motion with images as video models evolve.",
+            "files": [
+                "https://github.com/banodoco/steerable-motion"
+            ],
+            "id": "steerable-motion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/banodoco/steerable-motion",
+            "title": "Steerable Motion"
+        },
+        {
+            "author": "gemell1",
+            "description": "Nodes:GMIC Image Processing.",
+            "files": [
+                "https://github.com/gemell1/ComfyUI_GMIC"
+            ],
+            "id": "gmic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gemell1/ComfyUI_GMIC",
+            "title": "ComfyUI_GMIC"
+        },
+        {
+            "author": "LonicaMewinsky",
+            "description": "Nodes:BreakFrames, GetKeyFrames, MakeGrid.",
+            "files": [
+                "https://github.com/LonicaMewinsky/ComfyUI-MakeFrame"
+            ],
+            "id": "breakanim",
+            "install_type": "git-clone",
+            "reference": "https://github.com/LonicaMewinsky/ComfyUI-MakeFrame",
+            "title": "ComfyBreakAnim"
+        },
+        {
+            "author": "TheBarret",
+            "description": "Nodes:Prompter, RF Noise, SeedMod.",
+            "files": [
+                "https://github.com/TheBarret/ZSuite"
+            ],
+            "id": "zsuite",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TheBarret/ZSuite",
+            "title": "ZSuite"
+        },
+        {
+            "author": "romeobuilderotti",
+            "description": "Add custom Metadata fields to your saved PNG files.",
+            "files": [
+                "https://github.com/romeobuilderotti/ComfyUI-PNG-Metadata"
+            ],
+            "id": "pngmeta",
+            "install_type": "git-clone",
+            "reference": "https://github.com/romeobuilderotti/ComfyUI-PNG-Metadata",
+            "title": "ComfyUI PNG Metadata"
+        },
+        {
+            "author": "ka-puna",
+            "description": "NOTE: Concatenate Strings, Format Datetime String, Integer Caster, Multiline String, Truncate String. Yet Another Node Collection, a repository of simple nodes for ComfyUI. This repository eases the addition or removal of custom nodes to itself.",
+            "files": [
+                "https://github.com/ka-puna/comfyui-yanc"
+            ],
+            "id": "yanc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ka-puna/comfyui-yanc",
+            "title": "comfyui-yanc"
+        },
+        {
+            "author": "amorano",
+            "description": "Webcam, MIDI, Spout and GLSL shader support. Animation via tick. Parameter manipulation with wave generator. Math operations, universal value converstion, shape mask generation, image channel ops, batch splitting/merging/randomizing, load image/video from URL, Dynamic bus routing, support for GIPHY, save output anywhere! flatten, crop, transform; check color blindness, make stereograms or stereoscopic images, and much more.",
+            "files": [
+                "https://github.com/Amorano/Jovimetrix"
+            ],
+            "id": "jovimetrix",
+            "install_type": "git-clone",
+            "nodename_pattern": " \\(JOV\\)$",
+            "reference": "https://github.com/Amorano/Jovimetrix",
+            "title": "Jovimetrix Composition Nodes"
+        },
+        {
+            "author": "Umikaze-job",
+            "description": "This extension simply connects the nodes and specifies the output path of the generated images to a manageable path.",
+            "files": [
+                "https://github.com/Umikaze-job/select_folder_path_easy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Umikaze-job/select_folder_path_easy",
+            "title": "select_folder_path_easy"
+        },
+        {
+            "author": "Niutonian",
+            "description": "Nodes:Noodle webcam is a node that records frames and send them to your favourite node.",
+            "files": [
+                "https://github.com/Niutonian/ComfyUi-NoodleWebcam"
+            ],
+            "id": "noodle-webcam",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Niutonian/ComfyUi-NoodleWebcam",
+            "title": "ComfyUi-NoodleWebcam"
+        },
+        {
+            "author": "Feidorian",
+            "description": "This extension provides various custom nodes. literals, loaders, logic, output, switches",
+            "files": [
+                "https://github.com/Feidorian/feidorian-ComfyNodes"
+            ],
+            "id": "feidorian",
+            "install_type": "git-clone",
+            "nodename_pattern": "^Feidorian_",
+            "reference": "https://github.com/Feidorian/feidorian-ComfyNodes",
+            "title": "feidorian-ComfyNodes"
+        },
+        {
+            "author": "wutipong",
+            "description": "Nodes:Create N-Token String",
+            "files": [
+                "https://github.com/wutipong/ComfyUI-TextUtils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wutipong/ComfyUI-TextUtils",
+            "title": "ComfyUI-TextUtils"
+        },
+        {
+            "author": "natto-maki",
+            "description": "Nodes:OpenAI DALLe3, OpenAI Translate to English, String Function, Seed Generator",
+            "files": [
+                "https://github.com/natto-maki/ComfyUI-NegiTools"
+            ],
+            "id": "negitools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/natto-maki/ComfyUI-NegiTools",
+            "title": "ComfyUI-NegiTools"
+        },
+        {
+            "author": "LonicaMewinsky",
+            "description": "Nodes:SaveTifImage. ComfyUI custom node for purpose of saving image as uint16 tif file.",
+            "files": [
+                "https://github.com/LonicaMewinsky/ComfyUI-RawSaver"
+            ],
+            "id": "rawsaver",
+            "install_type": "git-clone",
+            "reference": "https://github.com/LonicaMewinsky/ComfyUI-RawSaver",
+            "title": "ComfyUI-RawSaver"
+        },
+        {
+            "author": "jojkaart",
+            "description": "Nodes:LCMScheduler, SamplerLCMAlternative, SamplerLCMCycle. ComfyUI Custom Sampler nodes that add a new improved LCM sampler functions",
+            "files": [
+                "https://github.com/jojkaart/ComfyUI-sampler-lcm-alternative"
+            ],
+            "id": "lmc-alt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jojkaart/ComfyUI-sampler-lcm-alternative",
+            "title": "ComfyUI-sampler-lcm-alternative"
+        },
+        {
+            "author": "GTSuya-Studio",
+            "description": "ComfyUI-GTSuya-Nodes is a ComfyUI extension designed to add several wildcards supports into ComfyUI. Wildcards allow you to use __name__ syntax in your prompt to get a random line from a file named name.txt in a wildcards directory.",
+            "files": [
+                "https://github.com/GTSuya-Studio/ComfyUI-Gtsuya-Nodes"
+            ],
+            "id": "gtsuya",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GTSuya-Studio/ComfyUI-Gtsuya-Nodes",
+            "title": "ComfyUI-GTSuya-Nodes"
+        },
+        {
+            "author": "oyvindg",
+            "description": "Nodes: BinaryImageMask, ImagePadding, LoadLastCreatedImage, RandomMask, TransparentImage.",
+            "files": [
+                "https://github.com/oyvindg/ComfyUI-TrollSuite"
+            ],
+            "id": "troll",
+            "install_type": "git-clone",
+            "reference": "https://github.com/oyvindg/ComfyUI-TrollSuite",
+            "title": "ComfyUI-TrollSuite"
+        },
+        {
+            "author": "drago87",
+            "description": "Nodes:File Padding, Image Info, VAE Loader With Name",
+            "files": [
+                "https://github.com/drago87/ComfyUI_Dragos_Nodes"
+            ],
+            "id": "dragos",
+            "install_type": "git-clone",
+            "reference": "https://github.com/drago87/ComfyUI_Dragos_Nodes",
+            "title": "ComfyUI_Dragos_Nodes"
+        },
+        {
+            "author": "ansonkao",
+            "description": "Nodes: Mask to Centroid, Mask to Eigenvector. A small collection of custom nodes for use with ComfyUI, for geometry calculations",
+            "files": [
+                "https://github.com/ansonkao/comfyui-geometry"
+            ],
+            "id": "geometry",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ansonkao/comfyui-geometry",
+            "title": "comfyui-geometry"
+        },
+        {
+            "author": "bronkula",
+            "description": "Nodes:Fit Size From Int/Image/Resize, Load Image And Resize To Fit, Pick Image From Batch/List, Crop Image Into Even Pieces, Image Region To Mask... A simple set of nodes for making an image fit within a bounding box",
+            "files": [
+                "https://github.com/bronkula/comfyui-fitsize"
+            ],
+            "id": "fitsize",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bronkula/comfyui-fitsize",
+            "title": "comfyui-fitsize"
+        },
+        {
+            "author": "toyxyz",
+            "description": "This node was created to send a webcam to ComfyUI in real time. This node is recommended for use with LCM.",
+            "files": [
+                "https://github.com/toyxyz/ComfyUI_toyxyz_test_nodes"
+            ],
+            "id": "toyxyz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/toyxyz/ComfyUI_toyxyz_test_nodes",
+            "title": "ComfyUI_toyxyz_test_nodes"
+        },
+        {
+            "author": "thecooltechguy",
+            "description": "Easily use Stable Video Diffusion inside ComfyUI!",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-Stable-Video-Diffusion"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-Stable-Video-Diffusion",
+            "title": "ComfyUI Stable Video Diffusion"
+        },
+        {
+            "author": "thecooltechguy",
+            "description": "The easiest way to run & share any ComfyUI workflow [a/https://comfyrun.com](https://comfyrun.com)",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-ComfyRun"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-ComfyRun",
+            "title": "ComfyUI-ComfyRun"
+        },
+        {
+            "author": "thecooltechguy",
+            "description": "Easily use Magic Animate within ComfyUI!\n[w/WARN: This extension requires 15GB disk space.]",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-MagicAnimate"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-MagicAnimate",
+            "title": "ComfyUI-MagicAnimate"
+        },
+        {
+            "author": "thecooltechguy",
+            "description": "The best way to run, share, & discover thousands of ComfyUI workflows.",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-ComfyWorkflows"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-ComfyWorkflows",
+            "title": "ComfyUI-ComfyWorkflows"
+        },
+        {
+            "author": "Danand",
+            "description": " If you want to draw two different characters together without blending their features, so you could try to check out this custom node.",
+            "files": [
+                "https://github.com/Danand/ComfyUI-ComfyCouple"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Danand/ComfyUI-ComfyCouple",
+            "title": "Comfy Couple"
+        },
+        {
+            "author": "42lux",
+            "description": "A NSFW/Safety Checker Node for ComfyUI.",
+            "files": [
+                "https://github.com/42lux/ComfyUI-safety-checker"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/42lux/ComfyUI-safety-checker",
+            "title": "ComfyUI-safety-checker"
+        },
+        {
+            "author": "sergekatzmann",
+            "description": "Nodes:Image Square Adapter Node, Image Resize And Crop Node",
+            "files": [
+                "https://github.com/sergekatzmann/ComfyUI_Nimbus-Pack"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/sergekatzmann/ComfyUI_Nimbus-Pack",
+            "title": "ComfyUI_Nimbus-Pack"
+        },
+        {
+            "author": "komojini",
+            "description": "Nodes:XL DreamBooth LoRA, S3 Bucket LoRA",
+            "files": [
+                "https://github.com/komojini/ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/komojini/ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes",
+            "title": "ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes"
+        },
+        {
+            "author": "komojini",
+            "description": "Nodes:YouTube Video Loader. Custom ComfyUI Nodes for video generation",
+            "files": [
+                "https://github.com/komojini/komojini-comfyui-nodes"
+            ],
+            "id": "komojini-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/komojini/komojini-comfyui-nodes",
+            "title": "komojini-comfyui-nodes"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of APISR for ComfyUI, both image and video",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-APISR"
+            ],
+            "id": "apisr-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-APISR",
+            "title": "APISR IN COMFYUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Nodes:Text_Image_Zho, Text_Image_Multiline_Zho, RGB_Image_Zho, AlphaChanelAddByMask, ImageComposite_Zho, ...",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Text_Image-Composite"
+            ],
+            "id": "txtimg-composite",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Text_Image-Composite",
+            "title": "ComfyUI-Text_Image-Composite [WIP]"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Using Gemini-pro & Gemini-pro-vision in ComfyUI.",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Gemini"
+            ],
+            "id": "gemini",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Gemini",
+            "title": "ComfyUI-Gemini"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "ComfyUI Portrait Master \u7b80\u4f53\u4e2d\u6587\u7248.",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/comfyui-portrait-master-zh-cn"
+            ],
+            "id": "portrait-master-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/comfyui-portrait-master-zh-cn",
+            "title": "comfyui-portrait-master-zh-cn"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Nodes:Q-Align Scoring. Implementation of [a/Q-Align](https://arxiv.org/abs/2312.17090) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Q-Align"
+            ],
+            "id": "qalign-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Q-Align",
+            "title": "ComfyUI-Q-Align"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/InstantID](https://github.com/InstantID/InstantID) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID"
+            ],
+            "id": "instantid-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID",
+            "title": "ComfyUI-InstantID"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/PhotoMaker](https://github.com/TencentARC/PhotoMaker) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PhotoMaker-ZHO"
+            ],
+            "id": "photomaker-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PhotoMaker-ZHO",
+            "title": "ComfyUI PhotoMaker (ZHO)"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "QWen-VL-Plus & QWen-VL-Max in ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API"
+            ],
+            "id": "qwen-vl-api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API",
+            "title": "ComfyUI-Qwen-VL-API"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "My Workflows + Auxiliary nodes for Stable Video Diffusion (SVD)",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO"
+            ],
+            "id": "svd-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO",
+            "title": "ComfyUI-SVD-ZHO (WIP)"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/SegMoE: Segmind Mixture of Diffusion Experts](https://github.com/segmind/segmoe) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE"
+            ],
+            "id": "segmoe",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE",
+            "title": "ComfyUI SegMoE"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/YOLO-World + EfficientSAM](https://huggingface.co/spaces/SkalskiP/YOLO-World) & [a/YOLO-World](https://github.com/AILab-CVC/YOLO-World) for ComfyUI\nNOTE: Install the efficient_sam model from the Install models menu.\n[w/When installing or updating this custom node, many installation packages may be downgraded due to the installation of requirements.\n!! python3.12 is incompatible.]",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM"
+            ],
+            "id": "yoloworld",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM",
+            "title": "ComfyUI YoloWorld-EfficientSAM"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/PixArt-alpha-Diffusers](https://github.com/PixArt-alpha/PixArt-alpha) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PixArt-alpha-Diffusers"
+            ],
+            "id": "pixart-alpha",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PixArt-alpha-Diffusers",
+            "title": "ComfyUI-PixArt-alpha-Diffusers"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of BRIA RMBG Model for ComfyUI.",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG"
+            ],
+            "id": "bria-ai-rmbg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG",
+            "title": "ComfyUI-BRIA_AI-RMBG"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/DepthFM](https://github.com/CompVis/depth-fm) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM"
+            ],
+            "id": "depthfm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM",
+            "title": "DepthFM IN COMFYUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Better version for [a/BiRefNet](https://github.com/zhengpeng7/birefnet) in ComfyUI | Both img and video",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BiRefNet-ZHO"
+            ],
+            "id": "birefnet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BiRefNet-ZHO",
+            "title": "ComfyUI-BiRefNet-ZHO"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Nodes:Phi3mini_4k_ModelLoader_Zho, Phi3mini_4k_Zho, Phi3mini_4k_Chat_Zho",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Phi-3-mini"
+            ],
+            "id": "phi3mini",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Phi-3-mini",
+            "title": "Phi-3-mini in ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Prompt Visualization | Art Gallery\n[w/WARN: Installation requires 2GB of space, and it will involve a long download time.]",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-ArtGallery"
+            ],
+            "id": "artgallery",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-ArtGallery",
+            "title": "ComfyUI-ArtGallery"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Animated optical illusions in ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Animated-optical-illusions"
+            ],
+            "id": "animated-optical-illusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Animated-optical-illusions",
+            "title": "ComfyUI-Animated-optical-illusions"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Using Qwen-2 in ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-2"
+            ],
+            "id": "qwen-2",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-2",
+            "title": "ComfyUI-Qwen-2"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/UltraEdit](https://github.com/HaozheZhao/UltraEdit) (Diffusers) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-UltraEdit-ZHO"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-UltraEdit-ZHO",
+            "title": "ComfyUI-UltraEdit-ZHO"
+        },
+        {
+            "author": "kenjiqq",
+            "description": "Nodes:Any List, Image Accumulator Start, Image Accumulator End, Load Lines From Text File, XY Grid Helper, Slice List, Axis To String/Int/Float/Model, ...",
+            "files": [
+                "https://github.com/kenjiqq/qq-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kenjiqq/qq-nodes-comfyui",
+            "title": "qq-nodes-comfyui"
+        },
+        {
+            "author": "80sVectorz",
+            "description": "Adds Static Primitives to ComfyUI. Mostly to work with reroute nodes",
+            "files": [
+                "https://github.com/80sVectorz/ComfyUI-Static-Primitives"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/80sVectorz/ComfyUI-Static-Primitives",
+            "title": "ComfyUI-Static-Primitives"
+        },
+        {
+            "author": "AbdullahAlfaraj",
+            "description": "Nodes: load Image with metadata, get config data, load image from base64 string, Load Loras From Prompt, Generate Latent Noise, Combine Two Latents Into Batch, General Purpose Controlnet Unit, ControlNet Script, Content Mask Latent, Auto-Photoshop-SD Seed, Expand and Blur the Mask",
+            "files": [
+                "https://github.com/AbdullahAlfaraj/Comfy-Photoshop-SD"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AbdullahAlfaraj/Comfy-Photoshop-SD",
+            "title": "Comfy-Photoshop-SD"
+        },
+        {
+            "author": "zhuanqianfish",
+            "description": "Capture window content from other programs, easyway combined with LCM for real-time painting",
+            "files": [
+                "https://github.com/zhuanqianfish/ComfyUI-EasyNode"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zhuanqianfish/ComfyUI-EasyNode",
+            "title": "EasyCaptureNode for ComfyUI"
+        },
+        {
+            "author": "discopixel-studio",
+            "description": "Nodes:TransformTemplateOntoFaceMask, ... A small collection of custom nodes for use with ComfyUI, by Discopixel",
+            "files": [
+                "https://github.com/discopixel-studio/comfyui-discopixel"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/discopixel-studio/comfyui-discopixel",
+            "title": "ComfyUI Discopixel Nodes"
+        },
+        {
+            "author": "zcfrank1st",
+            "description": "Nodes: Yolov8Detection, Yolov8Segmentation. Deadly simple yolov8 comfyui plugin",
+            "files": [
+                "https://github.com/zcfrank1st/Comfyui-Yolov8"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zcfrank1st/Comfyui-Yolov8",
+            "title": "ComfyUI Yolov8"
+        },
+        {
+            "author": "SoftMeng",
+            "description": "Nodes: ComfyUI Mexx Styler, ComfyUI Mexx Styler Advanced",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI_Mexx_Styler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SoftMeng/ComfyUI_Mexx_Styler",
+            "title": "ComfyUI_Mexx_Styler"
+        },
+        {
+            "author": "SoftMeng",
+            "description": "Nodes: ComfyUI_Mexx_Poster",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI_Mexx_Poster"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SoftMeng/ComfyUI_Mexx_Poster",
+            "title": "ComfyUI_Mexx_Poster"
+        },
+        {
+            "author": "SoftMeng",
+            "description": "Nodes: ComfyUI_ImageToText",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI_ImageToText"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SoftMeng/ComfyUI_ImageToText",
+            "title": "ComfyUI_ImageToText"
+        },
+        {
+            "author": "SoftMeng",
+            "description": "Accelerate ComfyUI Nodes for Faster Image Generation, Ensuring Consistency Pre and Post-Acceleration, Ideal for Bulk Image Production.",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI-DeepCache-Fix"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SoftMeng/ComfyUI-DeepCache-Fix",
+            "title": "ComfyUI-DeepCache-Fix"
+        },
+        {
+            "author": "wmatson",
+            "description": "A collection of utility nodes primarily for interacting with comfy via automated systems",
+            "files": [
+                "https://github.com/wmatson/easy-comfy-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wmatson/easy-comfy-nodes",
+            "title": "easy-comfy-nodes"
+        },
+        {
+            "author": "DrJKL",
+            "description": "A ComfyUI extension to add spatial anchors/waypoints to better navigate large workflows.",
+            "files": [
+                "https://github.com/DrJKL/ComfyUI-Anchors"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DrJKL/ComfyUI-Anchors",
+            "title": "ComfyUI-Anchors"
+        },
+        {
+            "author": "vanillacode314",
+            "description": "A simple wildcard node for ComfyUI. Can also be used a style prompt node.",
+            "files": [
+                "https://github.com/vanillacode314/SimpleWildcardsComfyUI"
+            ],
+            "install_type": "git-clone",
+            "pip": [
+                "pipe"
+            ],
+            "reference": "https://github.com/vanillacode314/SimpleWildcardsComfyUI",
+            "title": "Simple Wildcard"
+        },
+        {
+            "author": "WebDev9000",
+            "description": "Nodes:Ignore Braces, Settings Switch.",
+            "files": [
+                "https://github.com/WebDev9000/WebDev9000-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/WebDev9000/WebDev9000-Nodes",
+            "title": "WebDev9000-Nodes"
+        },
+        {
+            "author": "Scholar01",
+            "description": "Nodes:Keyframe Part, Keyframe Interpolation Part, Keyframe Apply.",
+            "files": [
+                "https://github.com/Scholar01/ComfyUI-Keyframe"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Scholar01/ComfyUI-Keyframe",
+            "title": "SComfyUI-Keyframe"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Perform Bringing-Old-Photos-Back-to-Life",
+            "files": [
+                "https://github.com/Haoming02/comfyui-old-photo-restoration"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-old-photo-restoration",
+            "title": "ComfyUI Old Photo Restoration"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Color Grading for Stable Diffusion",
+            "files": [
+                "https://github.com/Haoming02/comfyui-diffusion-cg"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-diffusion-cg",
+            "title": "Diffusion CG"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Add a button that formats the prompts in textfields",
+            "files": [
+                "https://github.com/Haoming02/comfyui-prompt-format"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-prompt-format",
+            "title": "Prompt Format"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Add a button that clears the console",
+            "files": [
+                "https://github.com/Haoming02/comfyui-clear-screen"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-clear-screen",
+            "title": "Clear Screen"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Snaps the menu to the corner automatically",
+            "files": [
+                "https://github.com/Haoming02/comfyui-menu-anchor"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-menu-anchor",
+            "title": "Menu Anchor"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Use the Tab key to switch between textfields",
+            "files": [
+                "https://github.com/Haoming02/comfyui-tab-handler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-tab-handler",
+            "title": "Tab Handler"
+        },
+        {
+            "author": "Haoming02",
+            "description": "A node that allows you to switch between execution flow",
+            "files": [
+                "https://github.com/Haoming02/comfyui-floodgate"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-floodgate",
+            "title": "Floodgate"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Add a button that formats the workflow graph",
+            "files": [
+                "https://github.com/Haoming02/comfyui-node-beautify"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-node-beautify",
+            "title": "Node Beautify"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Manipulate the details of generations.",
+            "files": [
+                "https://github.com/Haoming02/comfyui-resharpen"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-resharpen",
+            "title": "ComfyUI ReSharpen"
+        },
+        {
+            "author": "bedovyy",
+            "description": "This extension helps generate images through NAI.",
+            "files": [
+                "https://github.com/bedovyy/ComfyUI_NAIDGenerator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bedovyy/ComfyUI_NAIDGenerator",
+            "title": "ComfyUI_NAIDGenerator"
+        },
+        {
+            "author": "Off-Live",
+            "description": "Nodes:Image Crop Fit, OFF SEGS to Image, Crop Center wigh SEGS, Watermarking, GW Number Formatting Node.",
+            "files": [
+                "https://github.com/Off-Live/ComfyUI-off-suite"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Off-Live/ComfyUI-off-suite",
+            "title": "ComfyUI-off-suite"
+        },
+        {
+            "author": "ningxiaoxiao",
+            "description": "Real-time input output node for ComfyUI by NDI. Leveraging the powerful linking capabilities of NDI, you can access NDI video stream frames and send images generated by the model to NDI video streams.",
+            "files": [
+                "https://github.com/ningxiaoxiao/comfyui-NDI"
+            ],
+            "install_type": "git-clone",
+            "pip": [
+                "ndi-python"
+            ],
+            "reference": "https://github.com/ningxiaoxiao/comfyui-NDI",
+            "title": "comfyui-NDI"
+        },
+        {
+            "author": "subtleGradient",
+            "description": "Two-finger scrolling (vertical and horizontal) to pan the canvas. Two-finger pinch to zoom in and out. Command-scroll up and down to zoom in and out. Fixes [a/comfyanonymous/ComfyUI#2059](https://github.com/comfyanonymous/ComfyUI/issues/2059).",
+            "files": [
+                "https://github.com/subtleGradient/TinkerBot-tech-for-ComfyUI-Touchpad"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/subtleGradient/TinkerBot-tech-for-ComfyUI-Touchpad",
+            "title": "Touchpad two-finger gesture support for macOS"
+        },
+        {
+            "author": "zcfrank1st",
+            "description": "Nodes:visual_anagrams_sample, visual_anagrams_animate",
+            "files": [
+                "https://github.com/zcfrank1st/comfyui_visual_anagrams"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zcfrank1st/comfyui_visual_anagrams",
+            "title": "comfyui_visual_anagram"
+        },
+        {
+            "author": "Electrofried",
+            "description": "A simply node for hooking in to openAI API based servers via comfyUI",
+            "files": [
+                "https://github.com/Electrofried/ComfyUI-OpenAINode"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Electrofried/ComfyUI-OpenAINode",
+            "title": "OpenAINode"
+        },
+        {
+            "author": "AustinMroz",
+            "description": "Experimental utility nodes with a focus on manipulation of noised latents",
+            "files": [
+                "https://github.com/AustinMroz/ComfyUI-SpliceTools"
+            ],
+            "id": "splicetools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AustinMroz/ComfyUI-SpliceTools",
+            "title": "SpliceTools"
+        },
+        {
+            "author": "AustinMroz",
+            "description": "Nodes:DynamicSampler, MeasuredSampler, ResolveMaskPromise",
+            "files": [
+                "https://github.com/AustinMroz/ComfyUI-DynamicOversampling"
+            ],
+            "id": "dynamic-oversampling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AustinMroz/ComfyUI-DynamicOversampling",
+            "title": "DynamicOversampling"
+        },
+        {
+            "author": "AustinMroz",
+            "description": "Automatically creates checkpoints during workflow execution. If If an workflow is canceled or ComfyUI crashes mid-execution, then these checkpoints are used when the workflow is re-queued to resume execution with minimal progress loss.",
+            "files": [
+                "https://github.com/AustinMroz/ComfyUI-WorkflowCheckpointing"
+            ],
+            "id": "workflowcheckpointing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AustinMroz/ComfyUI-WorkflowCheckpointing",
+            "title": "ComfyUI-WorkflowCheckpointing"
+        },
+        {
+            "author": "11cafe",
+            "description": "A ComfyUI custom node for project management to centralize the management of all your workflows in one place. Seamlessly switch between workflows, create and update them within a single workspace, like Google Docs.",
+            "files": [
+                "https://github.com/11cafe/comfyui-workspace-manager"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/11cafe/comfyui-workspace-manager",
+            "title": "ComfyUI Workspace Manager - Comfyspace"
+        },
+        {
+            "author": "knuknX",
+            "description": "Nodes:BatchImageResizeProcessor, SingleImagePathLoader, SingleImageUrlLoader",
+            "files": [
+                "https://github.com/knuknX/ComfyUI-Image-Tools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/knuknX/ComfyUI-Image-Tools",
+            "title": "ComfyUI-Image-Tools"
+        },
+        {
+            "author": "jtrue",
+            "description": "A collection of nodes powering a tensor oracle on a home network with automation",
+            "files": [
+                "https://github.com/jtrue/ComfyUI-JaRue"
+            ],
+            "install_type": "git-clone",
+            "nodename_pattern": "_jru$",
+            "reference": "https://github.com/jtrue/ComfyUI-JaRue",
+            "title": "ComfyUI-JaRue"
+        },
+        {
+            "author": "filliptm",
+            "description": "VFX nodes, Shaders, Utilities, Mask tools, Prompting Tools, and much more!",
+            "files": [
+                "https://github.com/filliptm/ComfyUI_Fill-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/filliptm/ComfyUI_Fill-Nodes",
+            "title": "ComfyUI_Fill-Nodes"
+        },
+        {
+            "author": "zfkun",
+            "description": "A collection of nodes for common tools, including text preview, text translation (multi-platform, multi-language), image loader, webcamera capture.",
+            "files": [
+                "https://github.com/zfkun/ComfyUI_zfkun"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zfkun/ComfyUI_zfkun",
+            "title": "ComfyUI_zfkun"
+        },
+        {
+            "author": "zcfrank1st",
+            "description": "Nodes:Preview Json, Save Json, Test Json Preview, ... preview and save nodes",
+            "files": [
+                "https://github.com/zcfrank1st/Comfyui-Toolbox"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zcfrank1st/Comfyui-Toolbox",
+            "title": "Comfyui-Toolbox"
+        },
+        {
+            "author": "talesofai",
+            "description": "This is an image/video/workflow browser and manager for ComfyUI. You could add image/video/workflow to collections and load it to ComfyUI. You will be able to use your collections everywhere.",
+            "files": [
+                "https://github.com/talesofai/comfyui-browser"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/talesofai/comfyui-browser",
+            "title": "ComfyUI Browser"
+        },
+        {
+            "author": "yolain",
+            "description": "To enhance the usability of ComfyUI, optimizations and integrations have been implemented for several commonly used nodes.",
+            "files": [
+                "https://github.com/yolain/ComfyUI-Easy-Use"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolain/ComfyUI-Easy-Use",
+            "title": "ComfyUI Easy Use"
+        },
+        {
+            "author": "bruefire",
+            "description": "This is an extension node for ComfyUI that allows you to load frames from a video in bulk and perform masking and sketching on each frame through a GUI.",
+            "files": [
+                "https://github.com/bruefire/ComfyUI-SeqImageLoader"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bruefire/ComfyUI-SeqImageLoader",
+            "title": "ComfyUI Sequential Image Loader"
+        },
+        {
+            "author": "mmaker",
+            "description": "Node: Color Enhance, Color Blend. This is the same algorithm GIMP/GEGL uses for color enhancement. The gist of this implementation is that it converts the color space to CIELCh(ab) and normalizes the chroma (or [colorfulness](https://en.wikipedia.org/wiki/Colorfulness)] component. Original source can be found in the link below.",
+            "files": [
+                "https://git.mmaker.moe/mmaker/sd-webui-color-enhance"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://git.mmaker.moe/mmaker/sd-webui-color-enhance",
+            "title": "mmaker/Color Enhance"
+        },
+        {
+            "author": "modusCell",
+            "description": "Simple node for sharing latent image size between nodes. Preset dimensions for SD and XL.",
+            "files": [
+                "https://github.com/modusCell/ComfyUI-dimension-node-modusCell"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/modusCell/ComfyUI-dimension-node-modusCell",
+            "title": "Preset Dimensions"
+        },
+        {
+            "author": "aria1th",
+            "description": "Logical Utils (compare, string, boolean operations) for ComfyUI",
+            "files": [
+                "https://github.com/aria1th/ComfyUI-LogicUtils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/aria1th/ComfyUI-LogicUtils",
+            "title": "ComfyUI-LogicUtils"
+        },
+        {
+            "author": "MitoshiroPJ",
+            "description": "This custom node allow controlling output without training. The reducing method is similar to [a/Spatial-Reduction Attention](https://paperswithcode.com/method/spatial-reduction-attention), but generating speed may not be increased on typical image sizes due to overheads. (In some cases, slightly slower)",
+            "files": [
+                "https://github.com/MitoshiroPJ/comfyui_slothful_attention"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MitoshiroPJ/comfyui_slothful_attention",
+            "title": "ComfyUI Slothful Attention"
+        },
+        {
+            "author": "brianfitzgerald",
+            "description": "Implementation of the [a/StyleAligned](https://style-aligned-gen.github.io/) paper for ComfyUI. This node allows you to apply a consistent style to all images in a batch; by default it will use the first image in the batch as the style reference, forcing all other images to be consistent with it.",
+            "files": [
+                "https://github.com/brianfitzgerald/style_aligned_comfy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/brianfitzgerald/style_aligned_comfy",
+            "title": "StyleAligned for ComfyUI"
+        },
+        {
+            "author": "deroberon",
+            "description": "The Demofusion Custom Node is a wrapper that adapts the work and implementation of the [a/DemoFusion](https://ruoyidu.github.io/demofusion/demofusion.html) technique created and implemented by Ruoyi Du to the Comfyui environment.",
+            "files": [
+                "https://github.com/deroberon/demofusion-comfyui"
+            ],
+            "id": "demofusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/deroberon/demofusion-comfyui",
+            "title": "demofusion-comfyui"
+        },
+        {
+            "author": "deroberon",
+            "description": "StableZero123 is a node wrapper that uses the model and technique provided [here](https://github.com/SUDO-AI-3D/zero123plus/). It uses the Zero123plus model to generate 3D views using just one image.",
+            "files": [
+                "https://github.com/deroberon/StableZero123-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/deroberon/StableZero123-comfyui",
+            "title": "StableZero123-comfyui"
+        },
+        {
+            "author": "glifxyz",
+            "description": "Custom set of nodes used by glif.app. With glif you can build mini apps that are powered by custom comfy workflows.",
+            "files": [
+                "https://github.com/glifxyz/ComfyUI-GlifNodes"
+            ],
+            "id": "glif",
+            "install_type": "git-clone",
+            "reference": "https://github.com/glifxyz/ComfyUI-GlifNodes",
+            "title": "ComfyUI-GlifNodes"
+        },
+        {
+            "author": "concarne000",
+            "description": "Nodes:Bing Image Grabber, Zephyr chat, Hermes Chat",
+            "files": [
+                "https://github.com/concarne000/ConCarneNode"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/concarne000/ConCarneNode",
+            "title": "ConCarneNode"
+        },
+        {
+            "author": "Aegis72",
+            "description": "These nodes will be placed in comfyui/custom_nodes/aegisflow and contains the image passer (accepts an image as either wired or wirelessly, input and passes it through. Latent passer does the same for latents, and the Preprocessor chooser allows a passthrough image and 10 controlnets to be passed in AegisFlow Shima. The inputs on the Preprocessor  chooser should not be renamed if you intend to accept image inputs wirelessly through UE nodes. It can be done, but the send node input regex for each controlnet preprocessor column must also be changed.",
+            "files": [
+                "https://github.com/aegis72/aegisflow_utility_nodes"
+            ],
+            "id": "aegis",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aegis72/aegisflow_utility_nodes",
+            "title": "AegisFlow Utility Nodes"
+        },
+        {
+            "author": "Aegis72",
+            "description": "This is a straight clone of Azazeal04's all-in-one styler menu, which was removed from gh on Jan 21, 2024. I have made no changes to the files at all.",
+            "files": [
+                "https://github.com/aegis72/comfyui-styles-all"
+            ],
+            "id": "styles-all",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aegis72/comfyui-styles-all",
+            "title": "ComfyUI-styles-all"
+        },
+        {
+            "author": "glibsonoran",
+            "description": "Nodes: Style Prompt, OAI Dall_e Image. Plush contains two OpenAI enabled nodes: Style Prompt: Takes your prompt and the art style you specify and generates a prompt from ChatGPT3 or 4 that Stable Diffusion can use to generate an image in that style. OAI Dall_e 3: Takes your prompt and parameters and produces a Dall_e3 image in ComfyUI.",
+            "files": [
+                "https://github.com/glibsonoran/Plush-for-ComfyUI"
+            ],
+            "id": "plush",
+            "install_type": "git-clone",
+            "reference": "https://github.com/glibsonoran/Plush-for-ComfyUI",
+            "title": "Plush-for-ComfyUI"
+        },
+        {
+            "author": "vienteck",
+            "description": "This extension is a reimagined version based on the [a/ComfyUI-QualityOfLifeSuit_Omar92](https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92) extension, and it supports integration with ChatGPT through the new OpenAI API.\nNOTE: See detailed installation instructions on the [a/repository](https://github.com/vienteck/ComfyUI-Chat-GPT-Integration).",
+            "files": [
+                "https://github.com/vienteck/ComfyUI-Chat-GPT-Integration"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/vienteck/ComfyUI-Chat-GPT-Integration",
+            "title": "ComfyUI-Chat-GPT-Integration"
+        },
+        {
+            "author": "MNeMoNiCuZ",
+            "description": "Nodes: Save Text File, Download Image from URL, Groq LLM API, Generate Negative Prompt (experimental)",
+            "files": [
+                "https://github.com/MNeMoNiCuZ/ComfyUI-mnemic-nodes"
+            ],
+            "id": "mnemic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MNeMoNiCuZ/ComfyUI-mnemic-nodes",
+            "title": "ComfyUI-mnemic-nodes"
+        },
+        {
+            "author": "AI2lab",
+            "description": "tool set for developing workflow and publish to web api server",
+            "files": [
+                "https://github.com/AI2lab/comfyUI-tool-2lab"
+            ],
+            "id": "tool-2lab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AI2lab/comfyUI-tool-2lab",
+            "title": "comfyUI-tool-2lab"
+        },
+        {
+            "author": "AI2lab",
+            "description": "Unofficial implementation of DeepSeek for ComfyUI",
+            "files": [
+                "https://github.com/AI2lab/comfyUI-DeepSeek-2lab"
+            ],
+            "id": "deepseek",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AI2lab/comfyUI-DeepSeek-2lab",
+            "title": "comfyUI-DeepSeek-2lab"
+        },
+        {
+            "author": "AI2lab",
+            "description": "Unofficial implementation of siliconflow API for ComfyUI\nHow to use:apply api key in \uff1ahttps://cloud.siliconflow.cn/\nadd api key in config.json",
+            "files": [
+                "https://github.com/AI2lab/comfyUI-siliconflow-api-2lab"
+            ],
+            "id": "siliconflow",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AI2lab/comfyUI-siliconflow-api-2lab",
+            "title": "comfyUI-siliconflow-api-2lab"
+        },
+        {
+            "author": "SpaceKendo",
+            "description": "This is node replaces the init_image conditioning for the [a/Stable Video Diffusion](https://github.com/Stability-AI/generative-models) image to video model with text embeds, together with a conditioning frame. The conditioning frame is a set of latents.",
+            "files": [
+                "https://github.com/SpaceKendo/ComfyUI-svd_txt2vid"
+            ],
+            "id": "svd-txt2vid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SpaceKendo/ComfyUI-svd_txt2vid",
+            "title": "Text to video for Stable Video Diffusion in ComfyUI"
+        },
+        {
+            "author": "NimaNzrii",
+            "description": "popup preview for comfyui",
+            "files": [
+                "https://github.com/NimaNzrii/comfyui-popup_preview"
+            ],
+            "id": "popup-preview",
+            "install_type": "git-clone",
+            "reference": "https://github.com/NimaNzrii/comfyui-popup_preview",
+            "title": "comfyui-popup_preview"
+        },
+        {
+            "author": "NimaNzrii",
+            "description": "Powerfull bridge to Photoshop by NimaNzrii",
+            "files": [
+                "https://github.com/NimaNzrii/comfyui-photoshop"
+            ],
+            "id": "comfy-photoshop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/NimaNzrii/comfyui-photoshop",
+            "title": "comfyui-photoshop"
+        },
+        {
+            "author": "Rui",
+            "description": "Rui's workflow-specific custom node, written using GPT.",
+            "files": [
+                "https://github.com/rui40000/RUI-Nodes"
+            ],
+            "id": "rui-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/rui40000/RUI-Nodes",
+            "title": "RUI-Nodes"
+        },
+        {
+            "author": "dmarx",
+            "description": "ComfyUI nodes to facilitate parameter/prompt keyframing using comfyui nodes for defining and manipulating parameter curves. Essentially provides a ComfyUI interface to the [a/keyframed](https://github.com/dmarx/keyframed) library.",
+            "files": [
+                "https://github.com/dmarx/ComfyUI-Keyframed"
+            ],
+            "id": "keyframed",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dmarx/ComfyUI-Keyframed",
+            "title": "ComfyUI-Keyframed"
+        },
+        {
+            "author": "dmarx",
+            "description": "porting audioreactivity pipeline from vktrs to comfyui.",
+            "files": [
+                "https://github.com/dmarx/ComfyUI-AudioReactive"
+            ],
+            "id": "audioreactive",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dmarx/ComfyUI-AudioReactive",
+            "title": "ComfyUI-AudioReactive"
+        },
+        {
+            "author": "TripleHeadedMonkey",
+            "description": "This extension provides various SDXL Prompt Stylers. See: [a/youtube](https://youtu.be/WBHI-2uww7o?si=dijvDaUI4nmx4VkF)",
+            "files": [
+                "https://github.com/TripleHeadedMonkey/ComfyUI_MileHighStyler"
+            ],
+            "id": "milehighstyler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TripleHeadedMonkey/ComfyUI_MileHighStyler",
+            "title": "ComfyUI_MileHighStyler"
+        },
+        {
+            "author": "BennyKok",
+            "description": "Open source comfyui deployment platform, a vercel for generative workflow infra.",
+            "files": [
+                "https://github.com/BennyKok/comfyui-deploy"
+            ],
+            "id": "comfy-deploy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BennyKok/comfyui-deploy",
+            "title": "ComfyUI Deploy"
+        },
+        {
+            "author": "florestefano1975",
+            "description": "ComfyUI Portrait Master. A node designed to help AI image creators to generate prompts for human portraits.",
+            "files": [
+                "https://github.com/florestefano1975/comfyui-portrait-master"
+            ],
+            "id": "portrait-master",
+            "install_type": "git-clone",
+            "reference": "https://github.com/florestefano1975/comfyui-portrait-master",
+            "title": "comfyui-portrait-master"
+        },
+        {
+            "author": "florestefano1975",
+            "description": "A suite of tools for prompt management. Combining nodes helps the user sequence strings for prompts, also creating logical groupings if necessary. Individual nodes can be chained together in any order.",
+            "files": [
+                "https://github.com/florestefano1975/comfyui-prompt-composer"
+            ],
+            "id": "prompt-composer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/florestefano1975/comfyui-prompt-composer",
+            "title": "comfyui-prompt-composer"
+        },
+        {
+            "author": "florestefano1975",
+            "description": "This fork of the official StabilityAI repository contains a number of enhancements and implementations.",
+            "files": [
+                "https://github.com/florestefano1975/ComfyUI-StabilityAI-Suite"
+            ],
+            "id": "sai-suite",
+            "install_type": "git-clone",
+            "reference": "https://github.com/florestefano1975/ComfyUI-StabilityAI-Suite",
+            "title": "ComfyUI StabilityAI Suite"
+        },
+        {
+            "author": "florestefano1975",
+            "description": "Simple custom nodes for testing and use HiDiffusion technology: https://github.com/megvii-research/HiDiffusion/",
+            "files": [
+                "https://github.com/florestefano1975/ComfyUI-HiDiffusion"
+            ],
+            "id": "hidiffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/florestefano1975/ComfyUI-HiDiffusion",
+            "title": "ComfyUI HiDiffusion"
+        },
+        {
+            "author": "florestefano1975",
+            "description": "A simple seed generator based on special number sequences: Fibonacci, Prime, Padovan, Triangular, Catalan, Pell, Lucas",
+            "files": [
+                "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed"
+            ],
+            "id": "adv-seq-seed-gen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed",
+            "title": "Advanced Sequence Seed Generator"
+        },
+        {
+            "author": "mozman",
+            "description": "This extension provides styler nodes for SDXL.\n\nNOTE: Due to the dynamic nature of node name definitions, ComfyUI-Manager cannot recognize the node list from this extension. The Missing nodes and Badge features are not available for this extension.",
+            "files": [
+                "https://github.com/mozman/ComfyUI_mozman_nodes"
+            ],
+            "id": "mozman-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mozman/ComfyUI_mozman_nodes",
+            "title": "ComfyUI_mozman_nodes"
+        },
+        {
+            "author": "rcsaquino",
+            "description": "Nodes: VAE Processor, VAE Loader, Background Remover",
+            "files": [
+                "https://github.com/rcsaquino/comfyui-custom-nodes"
+            ],
+            "id": "rcsaquino-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/rcsaquino/comfyui-custom-nodes",
+            "title": "rcsaquino/comfyui-custom-nodes"
+        },
+        {
+            "author": "rcfcu2000",
+            "description": "Nodes: Combine ZHGMasks, Cover ZHGMasks, ZHG FaceIndex, ZHG SaveImage, ZHG SmoothEdge, ZHG GetMaskArea, ...",
+            "files": [
+                "https://github.com/rcfcu2000/zhihuige-nodes-comfyui"
+            ],
+            "id": "zhihuige-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/rcfcu2000/zhihuige-nodes-comfyui",
+            "title": "zhihuige-nodes-comfyui"
+        },
+        {
+            "author": "IDGallagher",
+            "description": "Custom nodes to aid in the exploration of Latent Space",
+            "files": [
+                "https://github.com/IDGallagher/ComfyUI-IG-Nodes"
+            ],
+            "id": "ig-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/IDGallagher/ComfyUI-IG-Nodes",
+            "title": "IG Interpolation Nodes"
+        },
+        {
+            "author": "violet-chen",
+            "description": "Nodes: Psd2Png.",
+            "files": [
+                "https://github.com/violet-chen/comfyui-psd2png"
+            ],
+            "id": "psd2png",
+            "install_type": "git-clone",
+            "reference": "https://github.com/violet-chen/comfyui-psd2png",
+            "title": "comfyui-psd2png"
+        },
+        {
+            "author": "lldacing",
+            "description": "Provides some features and nodes related to API calls.",
+            "files": [
+                "https://github.com/lldacing/comfyui-easyapi-nodes"
+            ],
+            "id": "easyapi",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lldacing/comfyui-easyapi-nodes",
+            "title": "comfyui-easyapi-nodes"
+        },
+        {
+            "author": "CosmicLaca",
+            "description": "This extension provides various utility nodes. Inputs(prompt, styles, dynamic, merger, ...), Outputs(style pile), Dashboard(selectors, loader, switch, ...), Networks(LORA, Embedding, Hypernetwork), Visuals(visual selectors, )",
+            "files": [
+                "https://github.com/CosmicLaca/ComfyUI_Primere_Nodes"
+            ],
+            "id": "primere",
+            "install_type": "git-clone",
+            "reference": "https://github.com/CosmicLaca/ComfyUI_Primere_Nodes",
+            "title": "Primere nodes for ComfyUI"
+        },
+        {
+            "author": "RenderRift",
+            "description": "Nodes:RR_Date_Folder_Format, RR_Image_Metadata_Overlay, RR_VideoPathMetaExtraction, RR_DisplayMetaOptions. This extension provides nodes designed to enhance the Animatediff workflow.",
+            "files": [
+                "https://github.com/RenderRift/ComfyUI-RenderRiftNodes"
+            ],
+            "id": "renderrift",
+            "install_type": "git-clone",
+            "reference": "https://github.com/RenderRift/ComfyUI-RenderRiftNodes",
+            "title": "ComfyUI-RenderRiftNodes"
+        },
+        {
+            "author": "OpenArt-AI",
+            "description": "ComfyUI Assistant is your one stop plugin for everything you need to get started with comfy-ui. Now it provides useful courses, tutorials, and basic templates.",
+            "files": [
+                "https://github.com/OpenArt-AI/ComfyUI-Assistant"
+            ],
+            "id": "openart",
+            "install_type": "git-clone",
+            "reference": "https://github.com/OpenArt-AI/ComfyUI-Assistant",
+            "title": "ComfyUI Assistant"
+        },
+        {
+            "author": "ttulttul",
+            "description": "Nodes to use Florence2 VLM for image vision tasks: object detection, captioning, segmentation and ocr",
+            "files": [
+                "https://github.com/ttulttul/ComfyUI-Iterative-Mixer"
+            ],
+            "id": "itermix",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ttulttul/ComfyUI-Iterative-Mixer",
+            "title": "ComfyUI Iterative Mixing Nodes"
+        },
+        {
+            "author": "ttulttul",
+            "description": "This repo contains nodes for ComfyUI that implement some helpful operations on tensors, such as normalization.",
+            "files": [
+                "https://github.com/ttulttul/ComfyUI-Tensor-Operations"
+            ],
+            "id": "tensorop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ttulttul/ComfyUI-Tensor-Operations",
+            "title": "ComfyUI-Tensor-Operations"
+        },
+        {
+            "author": "jitcoder",
+            "description": "Shows Lora information from CivitAI and outputs trigger words and example prompt",
+            "files": [
+                "https://github.com/jitcoder/lora-info"
+            ],
+            "id": "lorainfo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jitcoder/lora-info",
+            "title": "LoraInfo"
+        },
+        {
+            "author": "ceruleandeep",
+            "description": "A ComfyUI extension for chatting with your images. Runs on your own system, no external services used, no filter. Uses the [a/LLaVA multimodal LLM](https://llava-vl.github.io/) so you can give instructions or ask questions in natural language. It's maybe as smart as GPT3.5, and it can see.",
+            "files": [
+                "https://github.com/ceruleandeep/ComfyUI-LLaVA-Captioner"
+            ],
+            "id": "llava-captioner",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ceruleandeep/ComfyUI-LLaVA-Captioner",
+            "title": "ComfyUI LLaVA Captioner"
+        },
+        {
+            "author": "styler00dollar",
+            "description": "Directly upscaling inside the latent space. Model was trained for SD1.5 and drawn content. Might add new architectures or update models at some point. This took heavy inspriration from [city96/SD-Latent-Upscaler](https://github.com/city96/SD-Latent-Upscaler) and [Ttl/ComfyUi_NNLatentUpscale](https://github.com/Ttl/ComfyUi_NNLatentUpscale). ",
+            "files": [
+                "https://github.com/styler00dollar/ComfyUI-sudo-latent-upscale"
+            ],
+            "id": "sudo-latent-upscale",
+            "install_type": "git-clone",
+            "reference": "https://github.com/styler00dollar/ComfyUI-sudo-latent-upscale",
+            "title": "ComfyUI-sudo-latent-upscale"
+        },
+        {
+            "author": "styler00dollar",
+            "description": "This extension provides nodes for [a/DeepCache: Accelerating Diffusion Models for Free](https://arxiv.org/abs/2312.00858)\nNOTE:Original code can be found [a/here](https://gist.github.com/laksjdjf/435c512bc19636e9c9af4ee7bea9eb86). Full credit to laksjdjf for sharing the code. ",
+            "files": [
+                "https://github.com/styler00dollar/ComfyUI-deepcache"
+            ],
+            "id": "deepcache",
+            "install_type": "git-clone",
+            "reference": "https://github.com/styler00dollar/ComfyUI-deepcache",
+            "title": "ComfyUI-deepcache"
+        },
+        {
+            "author": "HarroweD and quadmoon",
+            "description": "Harronode is a custom node designed to build prompts easily for use with the Harrlogos SDXL LoRA. This Node simplifies the process of crafting prompts and makes all built in activation terms available at your fingertips.",
+            "files": [
+                "https://github.com/NotHarroweD/Harronode"
+            ],
+            "id": "harrlogos-prompt-builder",
+            "install_type": "git-clone",
+            "nodename_pattern": "Harronode",
+            "reference": "https://github.com/NotHarroweD/Harronode",
+            "title": "Harrlogos Prompt Builder Node"
+        },
+        {
+            "author": "Limitex",
+            "description": "Nodes: Center Calculation. Improved Numerical Calculation for ComfyUI",
+            "files": [
+                "https://github.com/Limitex/ComfyUI-Calculation"
+            ],
+            "id": "calc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Limitex/ComfyUI-Calculation",
+            "title": "ComfyUI-Calculation"
+        },
+        {
+            "author": "Limitex",
+            "description": "This extension enables the use of the diffuser pipeline in ComfyUI.",
+            "files": [
+                "https://github.com/Limitex/ComfyUI-Diffusers"
+            ],
+            "id": "diffusers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Limitex/ComfyUI-Diffusers",
+            "title": "ComfyUI-Diffusers"
+        },
+        {
+            "author": "aiXander",
+            "description": "Maintained by Eden.art, this is a growing suite of custom nodes for building advanced pipelines.",
+            "files": [
+                "https://github.com/edenartlab/eden_comfy_pipelines"
+            ],
+            "id": "eden",
+            "install_type": "git-clone",
+            "reference": "https://github.com/edenartlab/eden_comfy_pipelines",
+            "title": "Eden.art nodesuite"
+        },
+        {
+            "author": "aiXander",
+            "description": "Maintained by Eden.art, this is a very fast, well tuned trainer for SDXL and SD15",
+            "files": [
+                "https://github.com/edenartlab/sd-lora-trainer"
+            ],
+            "id": "eden-lora-trainer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/edenartlab/sd-lora-trainer",
+            "title": "Eden.art LoRa Trainer"
+        },
+        {
+            "author": "pkpk",
+            "description": "A custom node on ComfyUI that saves images in AVIF format. Workflow can be loaded from images saved at this node.",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-SaveAVIF"
+            ],
+            "id": "saveavif",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pkpkTech/ComfyUI-SaveAVIF",
+            "title": "ComfyUI-SaveAVIF"
+        },
+        {
+            "author": "pkpkTech",
+            "description": "Use ngrok to allow external access to ComfyUI.\nNOTE: Need to manually modify a token inside the __init__.py file.",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-ngrok"
+            ],
+            "id": "ngrok",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pkpkTech/ComfyUI-ngrok",
+            "title": "ComfyUI-ngrok"
+        },
+        {
+            "author": "pkpk",
+            "description": "This is a custom node of ComfyUI that downloads and loads models from the input URL. The model is temporarily downloaded into memory and not saved to storage.\nThis could be useful when trying out models or when using various models on machines with limited storage. Since the model is downloaded into memory, expect higher memory usage than usual.",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-TemporaryLoader"
+            ],
+            "id": "temploader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pkpkTech/ComfyUI-TemporaryLoader",
+            "title": "ComfyUI-TemporaryLoader"
+        },
+        {
+            "author": "pkpkTech",
+            "description": "Add a button to the menu to save and load the running queue and the pending queues.\nThis is intended to be used when you want to exit ComfyUI with queues still remaining.",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-SaveQueues"
+            ],
+            "id": "savequeues",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pkpkTech/ComfyUI-SaveQueues",
+            "title": "ComfyUI-SaveQueues"
+        },
+        {
+            "author": "Crystian",
+            "description": "With this suit, you can see the resources monitor, progress bar & time elapsed, metadata and compare between two images, compare between two JSONs, show any value to console/display, pipes, and more!\nThis provides better nodes to load/save images, previews, etc, and see \"hidden\" data without loading a new workflow.",
+            "files": [
+                "https://github.com/crystian/ComfyUI-Crystools"
+            ],
+            "id": "crytools",
+            "install_type": "git-clone",
+            "nodename_pattern": " \\[Crystools\\]$",
+            "reference": "https://github.com/crystian/ComfyUI-Crystools",
+            "title": "Crystools"
+        },
+        {
+            "author": "Crystian",
+            "description": "With this quality of life extension, you can save your workflow with a specific name and include additional details such as the author, a description, and the version (in metadata/json). Important: When you share your workflow (via png/json), others will be able to see your information!",
+            "files": [
+                "https://github.com/crystian/ComfyUI-Crystools-save"
+            ],
+            "id": "crytools-save",
+            "install_type": "git-clone",
+            "reference": "https://github.com/crystian/ComfyUI-Crystools-save",
+            "title": "Crystools-save"
+        },
+        {
+            "author": "Kangkang625",
+            "description": "This repo is a simple implementation of [a/Paint-by-Example](https://github.com/Fantasy-Studio/Paint-by-Example) based on its [a/huggingface pipeline](https://huggingface.co/Fantasy-Studio/Paint-by-Example).",
+            "files": [
+                "https://github.com/Kangkang625/ComfyUI-paint-by-example"
+            ],
+            "id": "paint-by-example",
+            "install_type": "git-clone",
+            "pip": [
+                "diffusers"
+            ],
+            "reference": "https://github.com/Kangkang625/ComfyUI-paint-by-example",
+            "title": "ComfyUI-Paint-by-Example"
+        },
+        {
+            "author": "54rt1n",
+            "description": "ComfyUI powertools for SD1.5 and SDXL model merging.",
+            "files": [
+                "https://github.com/54rt1n/ComfyUI-DareMerge"
+            ],
+            "id": "daremerge",
+            "install_type": "git-clone",
+            "reference": "https://github.com/54rt1n/ComfyUI-DareMerge",
+            "title": "ComfyUI-DareMerge"
+        },
+        {
+            "author": "an90ray",
+            "description": "Nodes: RErouter, String (RE), Int (RE)",
+            "files": [
+                "https://github.com/an90ray/ComfyUI_RErouter_CustomNodes"
+            ],
+            "id": "rerouter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/an90ray/ComfyUI_RErouter_CustomNodes",
+            "title": "ComfyUI_RErouter_CustomNodes"
+        },
+        {
+            "author": "jesenzhang",
+            "description": "This is a simple implementation StreamDiffusion(A Pipeline-Level Solution for Real-Time Interactive Generation) for ComfyUI",
+            "files": [
+                "https://github.com/jesenzhang/ComfyUI_StreamDiffusion"
+            ],
+            "id": "streamdiffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jesenzhang/ComfyUI_StreamDiffusion",
+            "title": "ComfyUI_StreamDiffusion"
+        },
+        {
+            "author": "ai-liam",
+            "description": "Nodes: LiamLoadImage. This node provides the capability to load images from a URL.",
+            "files": [
+                "https://github.com/ai-liam/comfyui_liam_util"
+            ],
+            "id": "liam-util-single",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ai-liam/comfyui_liam_util",
+            "title": "LiamUtil (single node)"
+        },
+        {
+            "author": "ai-liam",
+            "description": "Nodes: LiamLibLoadImage, LiamLibImageToGray, LiamLibSaveImg, LiamLibFillImage, PreviewReliefImage, GetBetterDepthImage, LiamLibSaveText",
+            "files": [
+                "https://github.com/ai-liam/comfyui-liam"
+            ],
+            "id": "liam-util",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ai-liam/comfyui-liam",
+            "title": "LiamUtil"
+        },
+        {
+            "author": "Ryuukeisyou",
+            "description": "This is a set of custom nodes for ComfyUI. The nodes utilize the [a/face parsing model](https://huggingface.co/jonathandinu/face-parsing) to provide detailed segmantation of face. To improve face segmantation accuracy, [a/yolov8 face model](https://huggingface.co/Bingsu/adetailer/) is used to first extract face from an image. There are also auxiliary nodes for image and mask processing. A guided filter is also provided for skin smoothing.",
+            "files": [
+                "https://github.com/Ryuukeisyou/comfyui_face_parsing"
+            ],
+            "id": "face-parsing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ryuukeisyou/comfyui_face_parsing",
+            "title": "comfyui_face_parsing"
+        },
+        {
+            "author": "Ryuukeisyou",
+            "description": "ComfyUI implemntation for [a/SyncTalk](https://github.com/ZiqiaoPeng/SyncTalk)",
+            "files": [
+                "https://github.com/Ryuukeisyou/ComfyUI-SyncTalk"
+            ],
+            "id": "synctalk",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ryuukeisyou/ComfyUI-SyncTalk",
+            "title": "ComfyUI-SyncTalk"
+        },
+        {
+            "author": "tocubed",
+            "description": "Nodes: Shadertoy, Load Audio (from Path), Audio Frame Transform (Shadertoy), Audio Frame Transform (Beats)",
+            "files": [
+                "https://github.com/tocubed/ComfyUI-AudioReactor"
+            ],
+            "id": "audioreactor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tocubed/ComfyUI-AudioReactor",
+            "title": "ComfyUI-AudioReactor"
+        },
+        {
+            "author": "ntc-ai",
+            "description": "An experiment about combining multiple LoRAs with [a/DARE](https://arxiv.org/pdf/2311.03099.pdf)",
+            "files": [
+                "https://github.com/ntc-ai/ComfyUI-DARE-LoRA-Merge"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ntc-ai/ComfyUI-DARE-LoRA-Merge",
+            "title": "ComfyUI - Apply LoRA Stacker with DARE"
+        },
+        {
+            "author": "wwwins",
+            "description": "Nodes:SimpleAspectRatio",
+            "files": [
+                "https://github.com/wwwins/ComfyUI-Simple-Aspect-Ratio"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wwwins/ComfyUI-Simple-Aspect-Ratio",
+            "title": "ComfyUI-Simple-Aspect-Ratio"
+        },
+        {
+            "author": "ownimage",
+            "description": "Nodes:Caching Image Loader.",
+            "files": [
+                "https://github.com/ownimage/ComfyUI-ownimage"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ownimage/ComfyUI-ownimage",
+            "title": "ComfyUI-ownimage"
+        },
+        {
+            "author": "Ryuukeisyou",
+            "description": "Nodes:ImageLoadFromBase64, ImageLoadByPath, ImageLoadAsMaskByPath, ImageSaveToPath, ImageSaveAsBase64, VHSFileNamesToStrings(IOHelpers).",
+            "files": [
+                "https://github.com/Ryuukeisyou/comfyui_io_helpers"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ryuukeisyou/comfyui_io_helpers",
+            "title": "comfyui_io_helpers"
+        },
+        {
+            "author": "flowtyone",
+            "description": "This is a custom node that lets you take advantage of Latent Diffusion Super Resolution (LDSR) models inside ComfyUI.",
+            "files": [
+                "https://github.com/flowtyone/ComfyUI-Flowty-LDSR"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/flowtyone/ComfyUI-Flowty-LDSR",
+            "title": "ComfyUI-Flowty-LDSR"
+        },
+        {
+            "author": "flowtyone",
+            "description": "This is a custom node that lets you use TripoSR right from ComfyUI.\n[a/TripoSR](https://github.com/VAST-AI-Research/TripoSR) is a state-of-the-art open-source model for fast feedforward 3D reconstruction from a single image, collaboratively developed by Tripo AI and Stability AI. (TL;DR it creates a 3d model from an image.)",
+            "files": [
+                "https://github.com/flowtyone/ComfyUI-Flowty-TripoSR"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/flowtyone/ComfyUI-Flowty-TripoSR",
+            "title": "ComfyUI-Flowty-TripoSR"
+        },
+        {
+            "author": "flowtyone",
+            "description": "This is a custom node that lets you use Convolutional Reconstruction Models right from ComfyUI.\n[a/CRM](https://ml.cs.tsinghua.edu.cn/~zhengyi/CRM/) is a high-fidelity feed-forward single image-to-3D generative model.",
+            "files": [
+                "https://github.com/flowtyone/ComfyUI-Flowty-CRM"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/flowtyone/ComfyUI-Flowty-CRM",
+            "title": "ComfyUI-Flowty-CRM"
+        },
+        {
+            "author": "massao000",
+            "description": "Aspect ratio selector for ComfyUI based on [a/sd-webui-ar](https://github.com/alemelis/sd-webui-ar?tab=readme-ov-file).",
+            "files": [
+                "https://github.com/massao000/ComfyUI_aspect_ratios"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/massao000/ComfyUI_aspect_ratios",
+            "title": "ComfyUI_aspect_ratios"
+        },
+        {
+            "author": "SiliconFlow",
+            "description": "[a/Onediff](https://github.com/siliconflow/onediff) ComfyUI Nodes.",
+            "files": [
+                "https://github.com/siliconflow/onediff_comfy_nodes"
+            ],
+            "id": "onddiff",
+            "install_type": "git-clone",
+            "reference": "https://github.com/siliconflow/onediff_comfy_nodes",
+            "title": "OneDiff Nodes"
+        },
+        {
+            "author": "hinablue",
+            "description": "Nodes:3D Pose Editor",
+            "files": [
+                "https://github.com/hinablue/ComfyUI_3dPoseEditor"
+            ],
+            "id": "3d-pose-editor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hinablue/ComfyUI_3dPoseEditor",
+            "title": "ComfyUI 3D Pose Editor"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI-CameraCtrl-Wrapper",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper"
+            ],
+            "id": "cameractrl-wrapper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper",
+            "title": "ComfyUI-CameraCtrl-Wrapper"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI-EasyAnimate",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-EasyAnimate"
+            ],
+            "id": "easyanimate",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-EasyAnimate",
+            "title": "ComfyUI-EasyAnimate"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI_StreamingT2V",
+            "files": [
+                "https://github.com/chaojie/ComfyUI_StreamingT2V"
+            ],
+            "id": "streamingt2v",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI_StreamingT2V",
+            "title": "ComfyUI_StreamingT2V"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI node for [a/Open-Sora-Plan](https://github.com/PKU-YuanGroup/Open-Sora-Plan)",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Open-Sora-Plan"
+            ],
+            "id": "opensora-plan",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Open-Sora-Plan",
+            "title": "ComfyUI-Open-Sora-Plan"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI MuseTalk",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MuseTalk"
+            ],
+            "id": "musetalk-chaojie",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-MuseTalk",
+            "title": "ComfyUI-MuseTalk"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI MuseV",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MuseV"
+            ],
+            "id": "musev",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-MuseV",
+            "title": "ComfyUI-MuseV"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI [a/AniPortrait](https://github.com/Zejun-Yang/AniPortrait)",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-AniPortrait"
+            ],
+            "id": "aniportrait",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-AniPortrait",
+            "title": "ComfyUI-AniPortrait"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI Img2Img-Turbo",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Img2Img-Turbo"
+            ],
+            "id": "img2img-turbo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Img2Img-Turbo",
+            "title": "ComfyUI-Img2Img-Turbo"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI Champ",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Champ"
+            ],
+            "id": "champ",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Champ",
+            "title": "ComfyUI-Champ"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI Open Sora\nNOTE:only supports Linux now",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Open-Sora"
+            ],
+            "id": "opensora",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Open-Sora",
+            "title": "ComfyUI-Open-Sora"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI Trajectory",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Trajectory"
+            ],
+            "id": "trajectory",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Trajectory",
+            "title": "ComfyUI-Trajectory"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI dust3r",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-dust3r"
+            ],
+            "id": "dust3r",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-dust3r",
+            "title": "ComfyUI-dust3r"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI Gemma",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Gemma"
+            ],
+            "id": "gamma",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Gemma",
+            "title": "ComfyUI-Gemma"
+        },
+        {
+            "author": "chaojie",
+            "description": "Better Dynamic, Higher Resolution, and Stronger Coherence!",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-DynamiCrafter"
+            ],
+            "id": "dynamicrafter-chaojie",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-DynamiCrafter",
+            "title": "ComfyUI-DynamiCrafter"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI 3d engine",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Panda3d"
+            ],
+            "id": "panda3d",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Panda3d",
+            "title": "ComfyUI-Panda3d"
+        },
+        {
+            "author": "chaojie",
+            "description": "Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Pymunk"
+            ],
+            "id": "pymunk",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Pymunk",
+            "title": "ComfyUI-Pymunk"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes: Download the weights of MotionCtrl [a/motionctrl.pth](https://huggingface.co/TencentARC/MotionCtrl/blob/main/motionctrl.pth) and put it to ComfyUI/models/checkpoints",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MotionCtrl"
+            ],
+            "id": "motionctrl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-MotionCtrl",
+            "title": "ComfyUI-MotionCtrl"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes: that we currently provide the package only for x86-64 linux, such as Ubuntu or Debian, and Python 3.8, 3.9, and 3.10.",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Motion-Vector-Extractor"
+            ],
+            "id": "motion-vector-extractor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Motion-Vector-Extractor",
+            "title": "ComfyUI-Motion-Vector-Extractor"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes: Download the weights of MotionCtrl-SVD [a/motionctrl_svd.ckpt](https://huggingface.co/TencentARC/MotionCtrl/blob/main/motionctrl_svd.ckpt) and put it to ComfyUI/models/checkpoints",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MotionCtrl-SVD"
+            ],
+            "id": "motionctrl-svd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-MotionCtrl-SVD",
+            "title": "ComfyUI-MotionCtrl-SVD"
+        },
+        {
+            "author": "chaojie",
+            "description": "DragAnything",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-DragAnything"
+            ],
+            "id": "draganything",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-DragAnything",
+            "title": "ComfyUI-DragAnything"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes: Download the weights of DragNUWA [a/drag_nuwa_svd.pth](https://drive.google.com/file/d/1Z4JOley0SJCb35kFF4PCc6N6P1ftfX4i/view) and put it to ComfyUI/models/checkpoints/drag_nuwa_svd.pth\n[w/Due to changes in the torch package and versions of many other packages, it may disrupt your installation environment.]",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-DragNUWA"
+            ],
+            "id": "dragnuwa",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-DragNUWA",
+            "title": "ComfyUI-DragNUWA"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes: Run python tools/download_weights.py first to download weights automatically",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Moore-AnimateAnyone"
+            ],
+            "id": "moore-animateanyone",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Moore-AnimateAnyone",
+            "title": "ComfyUI-Moore-AnimateAnyone"
+        },
+        {
+            "author": "chaojie",
+            "description": "This is an implementation of [a/i2vgen-xl](https://github.com/ali-vilab/i2vgen-xl)",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-I2VGEN-XL"
+            ],
+            "id": "i2vgen-xl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-I2VGEN-XL",
+            "title": "ComfyUI-I2VGEN-XL"
+        },
+        {
+            "author": "chaojie",
+            "description": "This is an ComfyUI implementation of LightGlue to generate motion brush",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-LightGlue"
+            ],
+            "id": "lightglue",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-LightGlue",
+            "title": "ComfyUI-LightGlue"
+        },
+        {
+            "author": "chaojie",
+            "description": "This is an ComfyUI implementation of RAFT to generate motion brush",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-RAFT"
+            ],
+            "id": "raft",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-RAFT",
+            "title": "ComfyUI-RAFT"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes:VideoLaVITLoader, VideoLaVITT2V, VideoLaVITI2V, VideoLaVITI2VLong, VideoLaVITT2VLong, VideoLaVITI2I",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-LaVIT"
+            ],
+            "id": "lavit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-LaVIT",
+            "title": "ComfyUI-LaVIT"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes:SimDATrain, SimDALoader, SimDARun, VHS_FILENAMES_STRING_SimDA",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-SimDA"
+            ],
+            "id": "simda",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-SimDA",
+            "title": "ComfyUI-SimDA"
+        },
+        {
+            "author": "chaojie",
+            "description": "Investigating the Effectiveness of Cross Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Video-Editing-X-Attention"
+            ],
+            "id": "video-editing-x-attention",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Video-Editing-X-Attention",
+            "title": "ComfyUI-Video-Editing-X-Attention"
+        },
+        {
+            "author": "alexopus",
+            "description": "Allows you to save images with their generation metadata compatible with Civitai. Works with png, jpeg and webp. Stores LoRAs, models and embeddings hashes for resource recognition.",
+            "files": [
+                "https://github.com/alexopus/ComfyUI-Image-Saver"
+            ],
+            "id": "comfyui-image-saver",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alexopus/ComfyUI-Image-Saver",
+            "title": "ComfyUI Image Saver"
+        },
+        {
+            "author": "kft334",
+            "description": "Nodes: Image(s) To Websocket (Base64), Load Image (Base64),Load Images (Base64)",
+            "files": [
+                "https://github.com/kft334/Knodes"
+            ],
+            "id": "knodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kft334/Knodes",
+            "title": "Knodes"
+        },
+        {
+            "author": "MrForExample",
+            "description": "An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)\nNOTE: Pre-built python wheels can be download from [a/https://github.com/remsky/ComfyUI3D-Assorted-Wheels](https://github.com/remsky/ComfyUI3D-Assorted-Wheels)",
+            "files": [
+                "https://github.com/MrForExample/ComfyUI-3D-Pack"
+            ],
+            "id": "3dpack",
+            "install_type": "git-clone",
+            "nodename_pattern": "^\\[Comfy3D\\]",
+            "reference": "https://github.com/MrForExample/ComfyUI-3D-Pack",
+            "title": "ComfyUI-3D-Pack"
+        },
+        {
+            "author": "Mr.ForExample",
+            "description": "Improved AnimateAnyone implementation that allows you to use the opse image sequence and reference image to generate stylized video.\nThe current goal of this project is to achieve desired pose2video result with 1+FPS on GPUs that are equal to or better than RTX 3080!\ud83d\ude80\n[w/The torch environment may be compromised due to version issues as some torch-related packages are being reinstalled.]",
+            "files": [
+                "https://github.com/MrForExample/ComfyUI-AnimateAnyone-Evolved"
+            ],
+            "id": "animateanyone-evolved",
+            "install_type": "git-clone",
+            "nodename_pattern": "^\\[AnimateAnyone\\]",
+            "reference": "https://github.com/MrForExample/ComfyUI-AnimateAnyone-Evolved",
+            "title": "ComfyUI-AnimateAnyone-Evolved"
+        },
+        {
+            "author": "Hangover3832",
+            "description": "Nodes: MS kosmos-2 Interrogator, Save Image w/o Metadata, Image Scale Bounding Box. An implementation of Microsoft [a/kosmos-2](https://huggingface.co/microsoft/kosmos-2-patch14-224) image to text transformer.",
+            "files": [
+                "https://github.com/Hangover3832/ComfyUI-Hangover-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Nodes",
+            "title": "ComfyUI-Hangover-Nodes"
+        },
+        {
+            "author": "Hangover3832",
+            "description": "Moondream is a lightweight multimodal large language model.\n[w/WARN:Additional python code will be downloaded from huggingface and executed. You have to trust this creator if you want to use this node!]",
+            "files": [
+                "https://github.com/Hangover3832/ComfyUI-Hangover-Moondream"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Moondream",
+            "title": "ComfyUI-Hangover-Moondream"
+        },
+        {
+            "author": "Hangover3832",
+            "description": "This is an image recognition node for ComfyUI based on the RAM++ model from [a/xinyu1205](https://huggingface.co/xinyu1205).\nThis node outputs a string of tags with all the recognized objects and elements in the image in English or Chinese language.\nFor image tagging and captioning.",
+            "files": [
+                "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything",
+            "title": "Recognize Anything Model (RAM) for ComfyUI"
+        },
+        {
+            "author": "tzwm",
+            "description": "Calculate the execution time of all nodes.",
+            "files": [
+                "https://github.com/tzwm/comfyui-profiler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/tzwm/comfyui-profiler",
+            "title": "ComfyUI Profiler"
+        },
+        {
+            "author": "Daniel Lewis",
+            "description": "This is a set of nodes to interact with llama-cpp-python",
+            "files": [
+                "https://github.com/daniel-lewis-ab/ComfyUI-Llama"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daniel-lewis-ab/ComfyUI-Llama",
+            "title": "ComfyUI-Llama"
+        },
+        {
+            "author": "Daniel Lewis",
+            "description": "Text To Speech (TTS) for ComfyUI",
+            "files": [
+                "https://github.com/daniel-lewis-ab/ComfyUI-TTS"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daniel-lewis-ab/ComfyUI-TTS",
+            "title": "ComfyUI-TTS"
+        },
+        {
+            "author": "djbielejeski",
+            "description": "Extension for Automatic1111 and ComfyUI to automatically create masks for Background/Hair/Body/Face/Clothes in Img2Img",
+            "files": [
+                "https://github.com/djbielejeski/a-person-mask-generator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/djbielejeski/a-person-mask-generator",
+            "title": "a-person-mask-generator"
+        },
+        {
+            "author": "smagnetize",
+            "description": "Nodes:SingleImageDataUrlLoader",
+            "files": [
+                "https://github.com/smagnetize/kb-comfyui-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/smagnetize/kb-comfyui-nodes",
+            "title": "kb-comfyui-nodes"
+        },
+        {
+            "author": "ginlov",
+            "description": "Nodes:SegToMask",
+            "files": [
+                "https://github.com/ginlov/segment_to_mask_comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ginlov/segment_to_mask_comfyui",
+            "title": "segment_to_mask_comfyui"
+        },
+        {
+            "author": "glowcone",
+            "description": "Nodes: LoadImageFromBase64. Loads an image and its transparency mask from a base64-encoded data URI for easy API connection.",
+            "files": [
+                "https://github.com/glowcone/comfyui-base64-to-image"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/glowcone/comfyui-base64-to-image",
+            "title": "Load Image From Base64 URI"
+        },
+        {
+            "author": "glowcone",
+            "description": "Nodes: Convert String To Int, Convert String To Float",
+            "files": [
+                "https://github.com/glowcone/comfyui-string-converter"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/glowcone/comfyui-string-converter",
+            "title": "String Converter"
+        },
+        {
+            "author": "AInseven",
+            "description": "fastblend for comfyui, and other nodes that I write for video2video. rebatch image, my openpose",
+            "files": [
+                "https://github.com/AInseven/ComfyUI-fastblend"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AInseven/ComfyUI-fastblend",
+            "title": "ComfyUI-fastblend"
+        },
+        {
+            "author": "HebelHuber",
+            "description": "Nodes:Enhanced Save Node",
+            "files": [
+                "https://github.com/HebelHuber/comfyui-enhanced-save-node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/HebelHuber/comfyui-enhanced-save-node",
+            "title": "comfyui-enhanced-save-node"
+        },
+        {
+            "author": "LarryJane491",
+            "description": "If you see this message, your ComfyUI-Manager is outdated.\nRecent channel provides only the list of the latest nodes. If you want to find the complete node list, please go to the Default channel.\nMaking LoRA has never been easier!",
+            "files": [
+                "https://github.com/LarryJane491/Lora-Training-in-Comfy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/LarryJane491/Lora-Training-in-Comfy",
+            "title": "Lora-Training-in-Comfy"
+        },
+        {
+            "author": "LarryJane491",
+            "description": "The LoRA Caption custom nodes, just like their name suggests, allow you to caption images so they are ready for LoRA training.",
+            "files": [
+                "https://github.com/LarryJane491/Image-Captioning-in-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/LarryJane491/Image-Captioning-in-ComfyUI",
+            "title": "Image-Captioning-in-ComfyUI"
+        },
+        {
+            "author": "Layer-norm",
+            "description": "A very simple ComfyUI node to remove item with mask.",
+            "files": [
+                "https://github.com/Layer-norm/comfyui-lama-remover"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Layer-norm/comfyui-lama-remover",
+            "title": "Comfyui lama remover"
+        },
+        {
+            "author": "Taremin",
+            "description": "Instead of LoraLoader or HypernetworkLoader, it receives a prompt and loads and applies LoRA or HN based on the specifications within the prompt. The main purpose of this custom node is to allow changes without reconnecting the LoraLoader node when the prompt is randomly altered, etc.",
+            "files": [
+                "https://github.com/Taremin/comfyui-prompt-extranetworks"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Taremin/comfyui-prompt-extranetworks",
+            "title": "ComfyUI Prompt ExtraNetworks"
+        },
+        {
+            "author": "Taremin",
+            "description": " This extension provides the StringToolsConcat node, which concatenates multiple texts, and the StringToolsRandomChoice node, which selects one randomly from multiple texts.",
+            "files": [
+                "https://github.com/Taremin/comfyui-string-tools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Taremin/comfyui-string-tools",
+            "title": "ComfyUI String Tools"
+        },
+        {
+            "author": "Taremin",
+            "description": "Make it possible to edit the prompt using the Monaco Editor, an editor implementation used in VSCode.\nNOTE: This extension supports both ComfyUI and A1111 simultaneously.",
+            "files": [
+                "https://github.com/Taremin/webui-monaco-prompt"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Taremin/webui-monaco-prompt",
+            "title": "WebUI Monaco Prompt"
+        },
+        {
+            "author": "foxtrot-roger",
+            "description": "A bunch of nodes that can be useful to manipulate primitive types (numbers, text, ...) Also some helpers to generate text and timestamps.",
+            "files": [
+                "https://github.com/foxtrot-roger/comfyui-rf-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/foxtrot-roger/comfyui-rf-nodes",
+            "title": "RF Nodes"
+        },
+        {
+            "author": "abyz22",
+            "description": "Nodes:abyz22_Padding Image, abyz22_ImpactWildcardEncode, abyz22_setimageinfo, abyz22_SaveImage, abyz22_ImpactWildcardEncode_GetPrompt, abyz22_SetQueue, abyz22_drawmask, abyz22_FirstNonNull, abyz22_blendimages, abyz22_blend_onecolor. Please check workflow in [a/https://github.com/abyz22/image_control](https://github.com/abyz22/image_control)",
+            "files": [
+                "https://github.com/abyz22/image_control"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/abyz22/image_control",
+            "title": "image_control"
+        },
+        {
+            "author": "HAL41",
+            "description": "Simple node to handle scaling of YOLOv8 segmentation masks",
+            "files": [
+                "https://github.com/HAL41/ComfyUI-aichemy-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/HAL41/ComfyUI-aichemy-nodes",
+            "title": "ComfyUI aichemy nodes"
+        },
+        {
+            "author": "nkchocoai",
+            "description": "Add a node that outputs width and height of the size selected from the preset (.csv).",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-SizeFromPresets"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nkchocoai/ComfyUI-SizeFromPresets",
+            "title": "ComfyUI-SizeFromPresets"
+        },
+        {
+            "author": "nkchocoai",
+            "description": "Nodes: Format String, Join String List, Load Preset, Load Preset (Advanced), Const String, Const String (multi line). Add useful nodes related to prompt.",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-PromptUtilities"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nkchocoai/ComfyUI-PromptUtilities",
+            "title": "ComfyUI-PromptUtilities"
+        },
+        {
+            "author": "nkchocoai",
+            "description": "Add a node for drawing text with CR Draw Text of ComfyUI_Comfyroll_CustomNodes to the area of SEGS detected by Ultralytics Detector of ComfyUI-Impact-Pack.",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-TextOnSegs"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nkchocoai/ComfyUI-TextOnSegs",
+            "title": "ComfyUI-TextOnSegs"
+        },
+        {
+            "author": "nkchocoai",
+            "description": "Add a node to save images with metadata (PNGInfo) extracted from the input values of each node.\nSince the values are extracted dynamically, values output by various extension nodes can be added to metadata.",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData",
+            "title": "ComfyUI-SaveImageWithMetaData"
+        },
+        {
+            "author": "nkchocoai",
+            "description": "Add nodes that generates danbooru tags by [a/Dart(Danbooru Tags Transformer)](https://huggingface.co/p1atdev/dart-v1-sft).",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-Dart"
+            ],
+            "id": "dart",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nkchocoai/ComfyUI-Dart",
+            "title": "ComfyUI-Dart"
+        },
+        {
+            "author": "JaredTherriault",
+            "description": "python and web UX improvements for ComfyUI: Lora/Embedding picker, web extension manager (enable/disable any extension without disabling python nodes), control any parameter with text prompts, image and video viewer, metadata viewer, token counter, comments in prompts, font control, and more! \n[w/'ImageFeed.js' from the custom scripts of pythongosssss is not compatible with this suite's ImageDrawer feature. Additionally, 'DynamicPrompts.js' and 'EditAttention.js' from the core, along with 'favicon.js' from the custom scripts of pythongosssss, are incompatible with advanced features of the suite. Please use the JNodes Extension Management setting in Settings > JNodes > Extension Management to disable these extensions by unchecking them to use the full functionality of the suite.]",
+            "files": [
+                "https://github.com/JaredTherriault/ComfyUI-JNodes"
+            ],
+            "id": "jnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JaredTherriault/ComfyUI-JNodes",
+            "title": "ComfyUI-JNodes"
+        },
+        {
+            "author": "prozacgod",
+            "description": "A simple, quick, and dirty implementation of multiple workspaces within ComfyUI.",
+            "files": [
+                "https://github.com/prozacgod/comfyui-pzc-multiworkspace"
+            ],
+            "id": "multi-workspace",
+            "install_type": "git-clone",
+            "reference": "https://github.com/prozacgod/comfyui-pzc-multiworkspace",
+            "title": "ComfyUI Multi-Workspace"
+        },
+        {
+            "author": "Siberpone",
+            "description": "A booru API powered prompt generator for A1111 and ComfyUI with flexible tag filtering system and customizable prompt templates.",
+            "files": [
+                "https://github.com/Siberpone/lazy-pony-prompter"
+            ],
+            "id": "lazy-pony-prompter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Siberpone/lazy-pony-prompter",
+            "title": "Lazy Pony Prompter"
+        },
+        {
+            "author": "dave-palt",
+            "description": "Nodes: DSP Image Concat",
+            "files": [
+                "https://github.com/dave-palt/comfyui_DSP_imagehelpers"
+            ],
+            "id": "dsp-imagehelpers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dave-palt/comfyui_DSP_imagehelpers",
+            "title": "comfyui_DSP_imagehelpers"
+        },
+        {
+            "author": "Inzaniak",
+            "description": "Ranbooru is an extension for the comfyUI. The purpose of this extension is to add a node that gets a random set of tags from boorus pictures. This is mostly being used to help me test my checkpoints on a large variety of",
+            "files": [
+                "https://github.com/Inzaniak/comfyui-ranbooru"
+            ],
+            "id": "ranbooru",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Inzaniak/comfyui-ranbooru",
+            "title": "Ranbooru for ComfyUI"
+        },
+        {
+            "author": "miosp",
+            "description": "A node for JPEG de-artifacting using [a/FBCNN](https://github.com/jiaxi-jiang/FBCNN).",
+            "files": [
+                "https://github.com/Miosp/ComfyUI-FBCNN"
+            ],
+            "id": "fbcnn",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Miosp/ComfyUI-FBCNN",
+            "title": "ComfyUI-FBCNN"
+        },
+        {
+            "author": "JcandZero",
+            "description": "GLM4 Vision Integration",
+            "files": [
+                "https://github.com/JcandZero/ComfyUI_GLM4Node"
+            ],
+            "id": "glm4node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JcandZero/ComfyUI_GLM4Node",
+            "title": "ComfyUI_GLM4Node"
+        },
+        {
+            "author": "darkpixel",
+            "description": "Slightly better random prompt generation tools that allow combining and picking prompts from both file and text input sources.",
+            "files": [
+                "https://github.com/darkpixel/darkprompts"
+            ],
+            "id": "darkprompts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/darkpixel/darkprompts",
+            "title": "DarkPrompts"
+        },
+        {
+            "author": "yytdfc",
+            "description": "Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies. This repo is the ComfyUI nodes for Bedrock service. You could invoke the foundation model in your ComfyUI pipeline.",
+            "files": [
+                "https://github.com/aws-samples/comfyui-llm-node-for-amazon-bedrock"
+            ],
+            "id": "bedrock",
+            "install_type": "git-clone",
+            "pip": [
+                "boto3"
+            ],
+            "reference": "https://github.com/aws-samples/comfyui-llm-node-for-amazon-bedrock",
+            "title": "Amazon Bedrock nodes for ComfyUI"
+        },
+        {
+            "author": "Qais Malkawi",
+            "description": "This Extension adds a few custom QOL nodes that ComfyUI lacks by default.",
+            "files": [
+                "https://github.com/QaisMalkawi/ComfyUI-QaisHelper"
+            ],
+            "id": "qais-helper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/QaisMalkawi/ComfyUI-QaisHelper",
+            "title": "ComfyUI-Qais-Helper"
+        },
+        {
+            "author": "longgui0318",
+            "description": "Nodes:Split Masks, Mask Selection Of Masks, Mask Region Info",
+            "files": [
+                "https://github.com/longgui0318/comfyui-mask-util"
+            ],
+            "id": "mask-util",
+            "install_type": "git-clone",
+            "reference": "https://github.com/longgui0318/comfyui-mask-util",
+            "title": "comfyui-mask-util"
+        },
+        {
+            "author": "longgui0318",
+            "description": "Nodes:Generate Stable Diffsution Prompt With LLM, Translate Text With LLM, Chat With LLM",
+            "files": [
+                "https://github.com/longgui0318/comfyui-llm-assistant"
+            ],
+            "id": "llm-assistant",
+            "install_type": "git-clone",
+            "reference": "https://github.com/longgui0318/comfyui-llm-assistant",
+            "title": "comfyui-llm-assistant"
+        },
+        {
+            "author": "longgui0318",
+            "description": "The comfyui supported version of the [a/Magic Clothing](https://github.com/ShineChen1024/MagicClothing) project, not the diffusers version, allows direct integration with modules such as ipadapter.[w/comfyui-oms-diffusion is renamed to comfyui-magic-clothing. You may need to reinstall this.]",
+            "files": [
+                "https://github.com/longgui0318/comfyui-magic-clothing"
+            ],
+            "id": "magic-clothing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/longgui0318/comfyui-magic-clothing",
+            "title": "comfyui-magic-clothing"
+        },
+        {
+            "author": "longgui0318",
+            "description": "Nodes:Init Layer Info Array, Added Layer Info To Array, Layer Info Array Fuse, Layer Image Seleted, Layer Images IPAdapter Advanced, Enhanced Random Light Source",
+            "files": [
+                "https://github.com/longgui0318/comfyui-common-util"
+            ],
+            "id": "common-util",
+            "install_type": "git-clone",
+            "reference": "https://github.com/longgui0318/comfyui-common-util",
+            "title": "comfyui-common-util"
+        },
+        {
+            "author": "DimaChaichan",
+            "description": "This exporter is a plugin for ComfyUI, which can export tasks for [a/LAizypainter](https://github.com/DimaChaichan/LAizypainter).\nLAizypainter is a Photoshop plugin with which you can send tasks directly to a Stable Diffusion server. More information about a [a/Task](https://github.com/DimaChaichan/LAizypainter?tab=readme-ov-file#task)",
+            "files": [
+                "https://github.com/DimaChaichan/LAizypainter-Exporter-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DimaChaichan/LAizypainter-Exporter-ComfyUI",
+            "title": "LAizypainter-Exporter-ComfyUI"
+        },
+        {
+            "author": "adriflex",
+            "description": "Nodes:Blender viewport color, Blender Viewport depth",
+            "files": [
+                "https://github.com/adriflex/ComfyUI_Blender_Texdiff"
+            ],
+            "id": "blender-texdiff",
+            "install_type": "git-clone",
+            "reference": "https://github.com/adriflex/ComfyUI_Blender_Texdiff",
+            "title": "ComfyUI_Blender_Texdiff"
+        },
+        {
+            "author": "Shraknard",
+            "description": "Custom node for ComfyUI that makes parts of the image transparent (face, background...)",
+            "files": [
+                "https://github.com/Shraknard/ComfyUI-Remover"
+            ],
+            "id": "remover",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Shraknard/ComfyUI-Remover",
+            "title": "ComfyUI-Remover"
+        },
+        {
+            "author": "FlyingFireCo",
+            "description": "Nodes:Tiled KSampler, Asymmetric Tiled KSampler, Circular VAEDecode.",
+            "files": [
+                "https://github.com/FlyingFireCo/tiled_ksampler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/FlyingFireCo/tiled_ksampler",
+            "title": "tiled_ksampler"
+        },
+        {
+            "author": "Nlar",
+            "description": "Front end ComfyUI nodes for CartoonSegmentation Based upon the work of the CartoonSegmentation repository this project will provide a front end to some of the features.",
+            "files": [
+                "https://github.com/Nlar/ComfyUI_CartoonSegmentation"
+            ],
+            "id": "cartoon-seg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nlar/ComfyUI_CartoonSegmentation",
+            "title": "ComfyUI_CartoonSegmentation"
+        },
+        {
+            "author": "godspede",
+            "description": "Just a simple substring node that takes text and length as input, and outputs the first length characters.",
+            "files": [
+                "https://github.com/godspede/ComfyUI_Substring"
+            ],
+            "id": "substring",
+            "install_type": "git-clone",
+            "reference": "https://github.com/godspede/ComfyUI_Substring",
+            "title": "ComfyUI Substring"
+        },
+        {
+            "author": "gokayfem",
+            "description": "Custom Nodes for Vision Language Models (VLM) , Large Language Models (LLM), Image Captioning, Automatic Prompt Generation, Creative and Consistent Prompt Suggestion, Keyword Extraction",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI_VLM_nodes"
+            ],
+            "id": "vlm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gokayfem/ComfyUI_VLM_nodes",
+            "title": "VLM_nodes"
+        },
+        {
+            "author": "gokayfem",
+            "description": "Tell your dream and it interprets it and puts you inside your dream",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI-Dream-Interpreter"
+            ],
+            "id": "dream-interpreter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gokayfem/ComfyUI-Dream-Interpreter",
+            "title": "ComfyUI-Dream-Interpreter"
+        },
+        {
+            "author": "gokayfem",
+            "description": "Works with any Depth Map and visualizes the applied version it inside ComfyUI",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI-Depth-Visualization"
+            ],
+            "id": "delpth-visualization",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gokayfem/ComfyUI-Depth-Visualization",
+            "title": "ComfyUI-Depth-Visualization"
+        },
+        {
+            "author": "gokayfem",
+            "description": "Visualize your textures inside ComfyUI",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI-Texture-Simple"
+            ],
+            "id": "texture-simple",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gokayfem/ComfyUI-Texture-Simple",
+            "title": "ComfyUI-Texture-Simple"
+        },
+        {
+            "author": "Hiero207",
+            "description": "Nodes:Post to Discord w/ Webhook",
+            "files": [
+                "https://github.com/Hiero207/ComfyUI-Hiero-Nodes"
+            ],
+            "id": "hiero",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hiero207/ComfyUI-Hiero-Nodes",
+            "title": "Hiero-Nodes"
+        },
+        {
+            "author": "azure-dragon-ai",
+            "description": "Nodes:ImageScore, Loader, Image Processor, Real Image Processor, Fake Image Processor, Text Processor. ComfyUI Nodes for ClipScore",
+            "files": [
+                "https://github.com/azure-dragon-ai/ComfyUI-ClipScore-Nodes"
+            ],
+            "id": "clipscore",
+            "install_type": "git-clone",
+            "reference": "https://github.com/azure-dragon-ai/ComfyUI-ClipScore-Nodes",
+            "title": "ComfyUI-ClipScore-Nodes"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "Transcribe audio and add subtitles to videos using Whisper in ComfyUI",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Whisper"
+            ],
+            "id": "whisper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Whisper",
+            "title": "ComfyUI Whisper"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "A collection of nice utility nodes for ComfyUI",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Pronodes"
+            ],
+            "id": "pronodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Pronodes",
+            "title": "ComfyUI-Pronodes"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "Nodes:Upscale Video Tensorrt",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Vsgan"
+            ],
+            "id": "vsgan",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Vsgan",
+            "title": "ComfyUI-Vsgan"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "This extension provides a ComfyUI Custom Node implementation of the [a/Depth-Anything-Tensorrt](https://github.com/spacewalk01/depth-anything-tensorrt) in Python for ultra fast depth map generation",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt"
+            ],
+            "id": "depth-anything-tensorrt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt",
+            "title": "ComfyUI Depth Anything TensorRT"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "Convert Text-to-Speech inside ComfyUI using [a/Piper](https://github.com/rhasspy/piper)",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-PiperTTS"
+            ],
+            "id": "pipertts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-PiperTTS",
+            "title": "ComfyUI PiperTTS"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "This project provides a Tensorrt implementation for fast image upscaling inside ComfyUI (3-4x faster)",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt"
+            ],
+            "id": "upscaler-tensorrt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt",
+            "title": "ComfyUI Upscaler TensorRT"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "This repo provides a ComfyUI Custom Node implementation of [a/YOLO-NAS-POSE](https://github.com/Deci-AI/super-gradients), powered by TensorRT for ultra fast pose estimation. It has been adapted to work with openpose controlnet (experimental)",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt"
+            ],
+            "id": "yolonaspose-tensorrt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt",
+            "title": "ComfyUI YoloNasPose Tensorrt"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "This project provides a Tensorrt implementation of Dwpose for ultra fast pose estimation inside ComfyUI",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt"
+            ],
+            "id": "dwpose-tensorrt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt",
+            "title": "ComfyUI Dwpose TensorRT"
+        },
+        {
+            "author": "blepping",
+            "description": "Better TAESD previews, BlehHyperTile.",
+            "files": [
+                "https://github.com/blepping/ComfyUI-bleh"
+            ],
+            "id": "bleh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/blepping/ComfyUI-bleh",
+            "title": "ComfyUI-bleh"
+        },
+        {
+            "author": "blepping",
+            "description": "A janky implementation of Sonar sampling (momentum-based sampling) for ComfyUI.",
+            "files": [
+                "https://github.com/blepping/ComfyUI-sonar"
+            ],
+            "id": "sonar",
+            "install_type": "git-clone",
+            "reference": "https://github.com/blepping/ComfyUI-sonar",
+            "title": "ComfyUI-sonar"
+        },
+        {
+            "author": "blepping",
+            "description": "Janky implementation of [a/HiDiffusion](https://github.com/megvii-research/HiDiffusion) for ComfyUI. Enables generating at resolutions higher than what the model was trained for. Only supports SD 1.x (maybe 2.x) and SDXL.",
+            "files": [
+                "https://github.com/blepping/comfyui_jankhidiffusion"
+            ],
+            "id": "jank-hidiffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/blepping/comfyui_jankhidiffusion",
+            "title": "comfyui_jankhidiffusion"
+        },
+        {
+            "author": "blepping",
+            "description": "Experimental and mathematically unsound (but fun!) sampling for ComfyUI.\nFeel free create a question in Discussions for usage help: OCS Q&A Discussion[w/Status: In flux, may be useful but likely to change/break workflows frequently. Mainly for advanced users.]",
+            "files": [
+                "https://github.com/blepping/comfyui_overly_complicated_sampling"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/blepping/comfyui_overly_complicated_sampling",
+            "title": "comfyui_overly_complicated_sampling"
+        },
+        {
+            "author": "JerryOrbachJr",
+            "description": "A ComfyUI custom node that randomly selects a height and width pair from a list in a config file",
+            "files": [
+                "https://github.com/JerryOrbachJr/ComfyUI-RandomSize"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/JerryOrbachJr/ComfyUI-RandomSize",
+            "title": "Random Size"
+        },
+        {
+            "author": "jamal-alkharrat",
+            "description": "ComfyUI Custom Node to Rotate Images, Img2Img node.",
+            "files": [
+                "https://github.com/jamal-alkharrat/ComfyUI_rotate_image"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jamal-alkharrat/ComfyUI_rotate_image",
+            "title": "ComfyUI_rotate_image"
+        },
+        {
+            "author": "mape",
+            "description": "Multi-monitor image preview, Variable Assigment/Wireless Nodes, Prompt Tweaking, Command Palette, Pinned favourite nodes, Node navigation, Fuzzy search, Node time tracking, Organizing and Error management. For more info visit: [a/https://comfyui.ma.pe/](https://comfyui.ma.pe/)",
+            "files": [
+                "https://github.com/mape/ComfyUI-mape-Helpers"
+            ],
+            "id": "mape-helpers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mape/ComfyUI-mape-Helpers",
+            "title": "mape's helpers"
+        },
+        {
+            "author": "zhongpei",
+            "description": "Enhancing Image Restoration. (ref:[a/InstructIR](https://github.com/mv-lab/InstructIR))",
+            "files": [
+                "https://github.com/zhongpei/ComfyUI-InstructIR"
+            ],
+            "id": "instructir",
+            "install_type": "git-clone",
+            "reference": "https://github.com/zhongpei/ComfyUI-InstructIR",
+            "title": "ComfyUI for InstructIR"
+        },
+        {
+            "author": "Loewen-Hob",
+            "description": "This custom node is based on the [a/rembg-comfyui-node](https://github.com/Jcd1230/rembg-comfyui-node) but provides additional functionality to select ONNX models.",
+            "files": [
+                "https://github.com/Loewen-Hob/rembg-comfyui-node-better"
+            ],
+            "id": "rembg-better",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Loewen-Hob/rembg-comfyui-node-better",
+            "title": "Rembg Background Removal Node for ComfyUI (Better)"
+        },
+        {
+            "author": "HaydenReeve",
+            "description": "Strings should be easy, and simple. This extension aims to provide a set of nodes that make working with strings in ComfyUI a little bit easier.",
+            "files": [
+                "https://github.com/HaydenReeve/ComfyUI-Better-Strings"
+            ],
+            "id": "better-string",
+            "install_type": "git-clone",
+            "reference": "https://github.com/HaydenReeve/ComfyUI-Better-Strings",
+            "title": "ComfyUI Better Strings"
+        },
+        {
+            "author": "StartHua",
+            "description": "Nodes:segformer_clothes, segformer_agnostic, segformer_remove_bg, stabel_vition. Nodes for model dress up.",
+            "files": [
+                "https://github.com/StartHua/ComfyUI_Seg_VITON"
+            ],
+            "id": "seg-viton",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/ComfyUI_Seg_VITON",
+            "title": "ComfyUI_Seg_VITON"
+        },
+        {
+            "author": "StartHua",
+            "description": "JoyTag is a state of the art AI vision model for tagging images, with a focus on sex positivity and inclusivity. It uses the Danbooru tagging schema, but works across a wide range of images, from hand drawn to photographic.\nDownload the weight and put it under checkpoints: [a/https://huggingface.co/fancyfeast/joytag/tree/main](https://huggingface.co/fancyfeast/joytag/tree/main)",
+            "files": [
+                "https://github.com/StartHua/Comfyui_joytag"
+            ],
+            "id": "joytag",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/Comfyui_joytag",
+            "title": "Comfyui_joytag"
+        },
+        {
+            "author": "StartHua",
+            "description": "SegFormer model fine-tuned on ATR dataset for clothes segmentation but can also be used for human segmentation!\nDownload the weight and put it under checkpoints: [a/https://huggingface.co/mattmdjaga/segformer_b2_clothes](https://huggingface.co/mattmdjaga/segformer_b2_clothes)",
+            "files": [
+                "https://github.com/StartHua/Comfyui_segformer_b2_clothes"
+            ],
+            "id": "segformer-b2-clothes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/Comfyui_segformer_b2_clothes",
+            "title": "comfyui_segformer_b2_clothes"
+        },
+        {
+            "author": "StartHua",
+            "description": "Nodes:Ood_hd_CXH, Ood_hd_CXH. [a/OOTDiffusion](https://github.com/levihsu/OOTDiffusion)",
+            "files": [
+                "https://github.com/StartHua/ComfyUI_OOTDiffusion_CXH"
+            ],
+            "id": "ootdiffusion-cxh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/ComfyUI_OOTDiffusion_CXH",
+            "title": "ComfyUI_OOTDiffusion_CXH"
+        },
+        {
+            "author": "StartHua",
+            "description": "Original project: [a/link](https://github.com/tencent-ailab/PCDMs)\nBased on testing, the author's original images work very well, but using my own images generally requires some luck!",
+            "files": [
+                "https://github.com/StartHua/ComfyUI_PCDMs"
+            ],
+            "id": "pcdms",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/ComfyUI_PCDMs",
+            "title": "ComfyUI_PCDMs"
+        },
+        {
+            "author": "StartHua",
+            "description": "Nodes:Joy_caption_load, Joy_caption",
+            "files": [
+                "https://github.com/StartHua/Comfyui_CXH_joy_caption"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/Comfyui_CXH_joy_caption",
+            "title": "Comfyui_CXH_joy_caption"
+        },
+        {
+            "author": "StartHua",
+            "description": "Phi-3.5-vision-instruct fast talk with image !\nFast , Fast ,Fast!\n1.Phi-3.5-vision-instruct",
+            "files": [
+                "https://github.com/StartHua/Comfyui_CXH_Phi_3.5"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/Comfyui_CXH_Phi_3.5",
+            "title": "Comfyui_CXH_Phi_3.5"
+        },
+        {
+            "author": "ricklove",
+            "description": "Nodes: Image Crop and Resize by Mask, Image Uncrop, Image Shadow, Optical Flow (Dip), Warp Image with Flow, Image Threshold (Channels), Finetune Variable, Finetune Analyze, Finetune Analyze Batch, ... Misc ComfyUI nodes by Rick Love",
+            "files": [
+                "https://github.com/ricklove/comfyui-ricklove"
+            ],
+            "id": "ricklove",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ricklove/comfyui-ricklove",
+            "title": "comfyui-ricklove"
+        },
+        {
+            "author": "nosiu",
+            "description": "Implementation of [a/faceswap](https://github.com/nosiu/InstantID-faceswap/tree/main) based on [a/InstantID](https://github.com/InstantID/InstantID) for ComfyUI. Allows usage of [a/LCM Lora](https://huggingface.co/latent-consistency/lcm-lora-sdxl) which can produce good results in only a few generation steps.\nNOTE:Works ONLY with SDXL checkpoints.",
+            "files": [
+                "https://github.com/nosiu/comfyui-instantId-faceswap"
+            ],
+            "id": "instantid-faceswapper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nosiu/comfyui-instantId-faceswap",
+            "title": "ComfyUI InstantID Faceswapper"
+        },
+        {
+            "author": "LyazS",
+            "description": "A Anime Character Segmentation node for comfyui, based on [this hf space](https://huggingface.co/spaces/skytnt/anime-remove-background).",
+            "files": [
+                "https://github.com/LyazS/comfyui-anime-seg"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/LyazS/comfyui-anime-seg",
+            "title": "Anime Character Segmentation node for comfyui"
+        },
+        {
+            "author": "Chan-0312",
+            "description": "This is a project that generates videos frame by frame based on IPAdapter+ControlNet. Unlike [a/Steerable-motion](https://github.com/banodoco/Steerable-Motion), we do not rely on AnimateDiff. This decision is primarily due to the fact that the videos generated by AnimateDiff are often blurry. Through frame-by-frame control using IPAdapter+ControlNet, we can produce higher definition and more controllable videos.",
+            "files": [
+                "https://github.com/Chan-0312/ComfyUI-IPAnimate"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Chan-0312/ComfyUI-IPAnimate",
+            "title": "ComfyUI-IPAnimate"
+        },
+        {
+            "author": "Chan-0312",
+            "description": "Nodes:Easy2DDeforum (Chan)",
+            "files": [
+                "https://github.com/Chan-0312/ComfyUI-EasyDeforum"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Chan-0312/ComfyUI-EasyDeforum",
+            "title": "ComfyUI-EasyDeforum"
+        },
+        {
+            "author": "trumanwong",
+            "description": "An implementation of NSFW Detection for ComfyUI",
+            "files": [
+                "https://github.com/trumanwong/ComfyUI-NSFW-Detection"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/trumanwong/ComfyUI-NSFW-Detection",
+            "title": "ComfyUI-NSFW-Detection"
+        },
+        {
+            "author": "TemryL",
+            "description": "ComfyS3 seamlessly integrates with [a/Amazon S3](https://aws.amazon.com/en/s3/) in ComfyUI. This open-source project provides custom nodes for effortless loading and saving of images, videos, and checkpoint models directly from S3 buckets within the ComfyUI graph interface.",
+            "files": [
+                "https://github.com/TemryL/ComfyS3"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TemryL/ComfyS3",
+            "title": "ComfyS3"
+        },
+        {
+            "author": "MaraScott",
+            "description": "A set of nodes including a universal bus, an Inpainting By Mask and a large Upscaler/Refiner\n[AnyBus,McInpainty,McBoaty]",
+            "files": [
+                "https://github.com/MaraScott/ComfyUI_MaraScott_Nodes"
+            ],
+            "id": "marascott-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MaraScott/ComfyUI_MaraScott_Nodes",
+            "title": "\ud83d\udc30 MaraScott Nodes"
+        },
+        {
+            "author": "yffyhk",
+            "description": "Nodes: Get Danbooru, Tag Encode",
+            "files": [
+                "https://github.com/yffyhk/comfyui_auto_danbooru"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/yffyhk/comfyui_auto_danbooru",
+            "title": "comfyui_auto_danbooru"
+        },
+        {
+            "author": "dfl",
+            "description": "Clip text encoder with BREAK formatting like A1111 (uses conditioning concat)",
+            "files": [
+                "https://github.com/dfl/comfyui-clip-with-break"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/dfl/comfyui-clip-with-break",
+            "title": "CLIP with BREAK syntax"
+        },
+        {
+            "author": "dfl",
+            "description": "ComfyUI Custom Sampler nodes that implement Zheng et al.'s Trajectory Consistency Distillation based on [a/https://mhh0318.github.io/tcd](https://mhh0318.github.io/tcd)",
+            "files": [
+                "https://github.com/dfl/comfyui-tcd-scheduler"
+            ],
+            "id": "dfl-tcd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dfl/comfyui-tcd-scheduler",
+            "title": "ComfyUI-TCD-scheduler"
+        },
+        {
+            "author": "antrobot",
+            "description": "A small node pack containing various things I felt like ought to be in base comfy-UI. Currently includes Some image handling nodes to help with inpainting, a version of KSampler (advanced) that allows for denoise, and a node that can swap it's inputs. Remember to make an issue if you experience any bugs or errors!",
+            "files": [
+                "https://github.com/antrobot1234/antrobots-comfyUI-nodepack"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/antrobot1234/antrobots-comfyUI-nodepack",
+            "title": "antrobots ComfyUI Nodepack"
+        },
+        {
+            "author": "bilal-arikan",
+            "description": "With this node you can upload text files to input folder from your local computer.",
+            "files": [
+                "https://github.com/bilal-arikan/ComfyUI_TextAssets"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bilal-arikan/ComfyUI_TextAssets",
+            "title": "ComfyUI_TextAssets"
+        },
+        {
+            "author": "kadirnar",
+            "description": "ComfyUI-Transformers is a cutting-edge project combining the power of computer vision and natural language processing to create intuitive and user-friendly interfaces. Our goal is to make technology more accessible and engaging.",
+            "files": [
+                "https://github.com/kadirnar/ComfyUI-Transformers"
+            ],
+            "id": "comfy-transformers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kadirnar/ComfyUI-Transformers",
+            "title": "ComfyUI-Transformers"
+        },
+        {
+            "author": "kadirnar",
+            "description": "Ultralytics-Powered Object Recognition for ComfyUI",
+            "files": [
+                "https://github.com/kadirnar/ComfyUI-YOLO"
+            ],
+            "id": "comfy-yolo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kadirnar/ComfyUI-YOLO",
+            "title": "ComfyUI-YOLO"
+        },
+        {
+            "author": "digitaljohn",
+            "description": "A set of custom ComfyUI nodes for performing basic post-processing effects including Film Grain and Vignette. These effects can help to take the edge off AI imagery and make them feel more natural.",
+            "files": [
+                "https://github.com/digitaljohn/comfyui-propost"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/digitaljohn/comfyui-propost",
+            "title": "ComfyUI-ProPost"
+        },
+        {
+            "author": "DonBaronFactory",
+            "description": "Nodes:CRE8IT Serial Prompter, CRE8IT Apply Serial Prompter, CRE8IT Image Sizer. A few simple nodes to facilitate working wiht ComfyUI Workflows",
+            "files": [
+                "https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes",
+            "title": "ComfyUI-Cre8it-Nodes"
+        },
+        {
+            "author": "deforum",
+            "description": "Official Deforum animation pipeline tools that provide a unique way to create frame-by-frame generative motion art.",
+            "files": [
+                "https://github.com/XmYx/deforum-comfy-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/XmYx/deforum-comfy-nodes",
+            "title": "Deforum Nodes"
+        },
+        {
+            "author": "adbrasi",
+            "description": "ComfyUI-TrashNodes-DownloadHuggingface is a ComfyUI node designed to facilitate the download of models you have just trained and uploaded to Hugging Face. This node is particularly useful for users who employ Google Colab for training and need to quickly download their models for deployment.",
+            "files": [
+                "https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface",
+            "title": "ComfyUI-TrashNodes-DownloadHuggingface"
+        },
+        {
+            "author": "mbrostami",
+            "description": "ComfyUI Node to work with Hugging Face repositories",
+            "files": [
+                "https://github.com/mbrostami/ComfyUI-HF"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/mbrostami/ComfyUI-HF",
+            "title": "ComfyUI-HF"
+        },
+        {
+            "author": "Billius-AI",
+            "description": "Nodes:Create Project Root, Add Folder, Add Folder Advanced, Add File Name Prefix, Add File Name Prefix Advanced, ShowPath",
+            "files": [
+                "https://github.com/Billius-AI/ComfyUI-Path-Helper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Billius-AI/ComfyUI-Path-Helper",
+            "title": "ComfyUI-Path-Helper"
+        },
+        {
+            "author": "Franck-Demongin",
+            "description": "A custom node for ComfyUI to create a prompt based on a list of keywords saved in CSV files.",
+            "files": [
+                "https://github.com/Franck-Demongin/NX_PromptStyler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Franck-Demongin/NX_PromptStyler",
+            "title": "NX_PromptStyler"
+        },
+        {
+            "author": "Franck-Demongin",
+            "description": "Nodes:Hugging Face Flux",
+            "files": [
+                "https://github.com/Franck-Demongin/NX_HuggingFace_Flux"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Franck-Demongin/NX_HuggingFace_Flux",
+            "title": "NX_HuggingFace_Flux"
+        },
+        {
+            "author": "Franck-Demongin",
+            "description": "A custom node for translating prompts with Google Translate or DeeplL directly in ComfyUI.",
+            "files": [
+                "https://github.com/Franck-Demongin/NX_Translator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Franck-Demongin/NX_Translator",
+            "title": "NX_Translator"
+        },
+        {
+            "author": "xiaoxiaodesha",
+            "description": "Nodes:Combine HDMasks, Cover HDMasks, HD FaceIndex, HD SmoothEdge, HD GetMaskArea, HD Image Levels, HD Ultimate SD Upscale",
+            "files": [
+                "https://github.com/xiaoxiaodesha/hd_node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/xiaoxiaodesha/hd_node",
+            "title": "hd-nodes-comfyui"
+        },
+        {
+            "author": "ShmuelRonen",
+            "description": "SVDResizer is a helper for resizing the source image, according to the sizes enabled in Stable Video Diffusion. The rationale behind the possibility of changing the size of the image in steps between the ranges of 576 and 1024, is the use of the greatest common denominator of these two numbers which is 64. SVD is lenient with resizing that adheres to this rule, so the chance of coherent video that is not the standard size of 576X1024 is greater. It is advisable to keep the value 1024 constant and play with the second size to maintain the stability of the result.",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI-SVDResizer"
+            ],
+            "id": "svdresizer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI-SVDResizer",
+            "title": "ComfyUI-SVDResizer"
+        },
+        {
+            "author": "ShmuelRonen",
+            "description": "The Wav2Lip node is a custom node for ComfyUI that allows you to perform lip-syncing on videos using the Wav2Lip model. It takes an input video and an audio file and generates a lip-synced output video.",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI_wav2lip"
+            ],
+            "id": "wav2lip",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI_wav2lip",
+            "title": "Wav2Lip Node for ComfyUI"
+        },
+        {
+            "author": "ShmuelRonen",
+            "description": "ComfyUI_Gemini_Flash is a custom node for ComfyUI, integrating the capabilities of the Gemini 1.5 Flash model. This node supports text and vision-based prompts, allowing users to analyze and adapt images to text prompts for text2image tasks.",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI_Gemini_Flash"
+            ],
+            "id": "gemini-flash",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI_Gemini_Flash",
+            "title": "ComfyUI_Gemini_Flash"
+        },
+        {
+            "author": "redhottensors",
+            "description": "Fully customizable Classifier Free Guidance for ComfyUI.",
+            "files": [
+                "https://github.com/redhottensors/ComfyUI-Prediction"
+            ],
+            "id": "prediction",
+            "install_type": "git-clone",
+            "reference": "https://github.com/redhottensors/ComfyUI-Prediction",
+            "title": "ComfyUI-Prediction"
+        },
+        {
+            "author": "Mamaaaamooooo",
+            "description": "Remove background of plural images.",
+            "files": [
+                "https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes"
+            ],
+            "id": "batch-rembg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes",
+            "title": "Batch Rembg for ComfyUI"
+        },
+        {
+            "author": "jordoh",
+            "description": "ComfyUI nodes wrapping the [a/deepface](https://github.com/serengil/deepface) library.",
+            "files": [
+                "https://github.com/jordoh/ComfyUI-Deepface"
+            ],
+            "id": "deepface",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jordoh/ComfyUI-Deepface",
+            "title": "ComfyUI Deepface"
+        },
+        {
+            "author": "al-swaiti",
+            "description": "Nodes:Cascade Resolutions",
+            "files": [
+                "https://github.com/al-swaiti/ComfyUI-CascadeResolutions"
+            ],
+            "id": "cascade-resolution",
+            "install_type": "git-clone",
+            "reference": "https://github.com/al-swaiti/ComfyUI-CascadeResolutions",
+            "title": "ComfyUI-CascadeResolutions"
+        },
+        {
+            "author": "al-swaiti",
+            "description": "all art styles",
+            "files": [
+                "https://github.com/al-swaiti/All-IN-ONE-style"
+            ],
+            "id": "all-in-one-style",
+            "install_type": "git-clone",
+            "reference": "https://github.com/al-swaiti/All-IN-ONE-style",
+            "title": "All-IN-ONE-style"
+        },
+        {
+            "author": "al-swaiti",
+            "description": "This extension integrates Google's Gemini API and Ollama into ComfyUI, allowing users to leverage these powerful language models directly within their ComfyUI workflows.",
+            "files": [
+                "https://github.com/al-swaiti/ComfyUI-OllamaGemini"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/al-swaiti/ComfyUI-OllamaGemini",
+            "title": "GeminiOllama ComfyUI Extension"
+        },
+        {
+            "author": "mirabarukaso",
+            "description": "Nodes:Integer Multiplier, Float Multiplier, Convert Numeral to String, Create Canvas Advanced, Create Canvas, Create PNG Mask, Color Mask to HEX String, Color Mask to INT RGB, Color Masks to List",
+            "files": [
+                "https://github.com/mirabarukaso/ComfyUI_Mira"
+            ],
+            "id": "mira",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mirabarukaso/ComfyUI_Mira",
+            "title": "ComfyUI_Mira"
+        },
+        {
+            "author": "1038lab",
+            "description": "ComfyUI Node - Hugging Face repositories GTP2 Prompt",
+            "files": [
+                "https://github.com/1038lab/ComfyUI-GPT2P"
+            ],
+            "id": "gpt2p",
+            "install_type": "git-clone",
+            "reference": "https://github.com/1038lab/ComfyUI-GPT2P",
+            "title": "ComfyUI-GPT2P"
+        },
+        {
+            "author": "Klinter",
+            "description": "Concat_strings atm - celebrating first_node",
+            "files": [
+                "https://github.com/klinter007/klinter_nodes"
+            ],
+            "id": "klinter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/klinter007/klinter_nodes",
+            "title": "Klinter_nodes"
+        },
+        {
+            "author": "Ludobico",
+            "description": "ScenarioPrompt is a custom node that helps you understand what you're prompting for each property as you build your prompts",
+            "files": [
+                "https://github.com/Ludobico/ComfyUI-ScenarioPrompt"
+            ],
+            "id": "scenarioprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ludobico/ComfyUI-ScenarioPrompt",
+            "title": "ComfyUI-ScenarioPrompt"
+        },
+        {
+            "author": "logtd",
+            "description": "A set of nodes to perform multi-object prompting with InstanceDiffusion",
+            "files": [
+                "https://github.com/logtd/ComfyUI-InstanceDiffusion"
+            ],
+            "id": "instancediffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-InstanceDiffusion",
+            "title": "InstanceDiffusion Nodes"
+        },
+        {
+            "author": "logtd",
+            "description": "A set of nodes to track objects through videos using YOLO and other processors.",
+            "files": [
+                "https://github.com/logtd/ComfyUI-TrackingNodes"
+            ],
+            "id": "tracking",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-TrackingNodes",
+            "title": "Tracking Nodes for Videos"
+        },
+        {
+            "author": "logtd",
+            "description": "Nodes:Inversed Euler Sampler, Mix Noise with Latent, Combine Latent Noise",
+            "files": [
+                "https://github.com/logtd/ComfyUI-InversedNoise"
+            ],
+            "id": "inversed-noise",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-InversedNoise",
+            "title": "ComfyUI-InversedNoise"
+        },
+        {
+            "author": "logtd",
+            "description": "Nodes:Apply Ref UNet, Ref Sampler, Ref Sampler Custom",
+            "files": [
+                "https://github.com/logtd/ComfyUI-RefSampling"
+            ],
+            "id": "refsampling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-RefSampling",
+            "title": "ComfyUI-RefSampling"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use [a/FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing](https://github.com/yrcong/flatten).",
+            "files": [
+                "https://github.com/logtd/ComfyUI-FLATTEN"
+            ],
+            "id": "flatten",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-FLATTEN",
+            "title": "ComfyUI-FLATTEN"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use RAVE attention as a temporal attention mechanism.\nThis differs from other implementations in that it does not concatenate the images together, but within the UNet's Self-Attention mechanism performs the RAVE technique. By not altering the images/latents throughout the UNet, this method does not affect other temporal techniques, style mechanisms, or other UNet modifications.\nFor example, it can be combined with AnimateDiff, ModelScope/ZeroScope, or FLATTEN.",
+            "files": [
+                "https://github.com/logtd/ComfyUI-RAVE_ATTN"
+            ],
+            "id": "rave-attn",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-RAVE_ATTN",
+            "title": "ComfyUI-RAVE Attention"
+        },
+        {
+            "author": "logtd",
+            "description": "A set of nodes to use Reference UNets",
+            "files": [
+                "https://github.com/logtd/ComfyUI-RefUNet"
+            ],
+            "id": "refunet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-RefUNet",
+            "title": "ComfyUI-RefUNet"
+        },
+        {
+            "author": "logtd",
+            "description": "Nodes to use [a/Smoothed Energy Guidance](https://github.com/SusungHong/SEG-SDXL) for ComfyUI.",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SEGAttention"
+            ],
+            "id": "segattention",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-SEGAttention",
+            "title": "ComfyUI-SEGAttention"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI Nodes to use [a/SSR Encoder:Encoding Selective Subject Representation for Subject-Driven Generation](https://github.com/Xiaojiu-z/SSR_Encoder).",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SSREncoder"
+            ],
+            "id": "ssrencoder",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-SSREncoder",
+            "title": "ComfyUI-SSREncoder"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use the SeeCoder from [a/Prompt-Free-Diffusion](https://github.com/SHI-Labs/Prompt-Free-Diffusion)",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SeeCoder"
+            ],
+            "id": "seecoder-logtd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-SeeCoder",
+            "title": "ComfyUI-SeeCoder"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use [a/4D-Humans](ComfyUI nodes to use 4D-Humans)",
+            "files": [
+                "https://github.com/logtd/ComfyUI-4DHumans"
+            ],
+            "id": "comfyui-4dhumans",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-4DHumans",
+            "title": "ComfyUI-4DHumans"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use ReNoise",
+            "files": [
+                "https://github.com/logtd/ComfyUI-ReNoise"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-ReNoise",
+            "title": "ComfyUI-ReNoise"
+        },
+        {
+            "author": "logtd",
+            "description": "experimental node pack to test using reference videos for their motion.",
+            "files": [
+                "https://github.com/logtd/ComfyUI-MotionThiefExperiment"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-MotionThiefExperiment",
+            "title": "ComfyUI-MotionThiefExperiment"
+        },
+        {
+            "author": "Big-Idea-Technology",
+            "description": "ComfyUI-Book-Tools is a set o new nodes for ComfyUI that allows users to easily add text overlays to images within their ComfyUI projects. This Node leverages Python Imaging Library (PIL) and PyTorch to dynamically render text on images, supporting a wide range of customization options including font size, alignment, color, and padding. Loop with any parameters (*), prompt batch schedule with prompt selector, end queue for automatic ending current queue.",
+            "files": [
+                "https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools"
+            ],
+            "id": "booktool",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools",
+            "title": "ComfyUI-Book-Tools Nodes for ComfyUI"
+        },
+        {
+            "author": "Big Idea Technology",
+            "description": "The LLM_Node enhances ComfyUI by integrating advanced language model capabilities, enabling a wide range of NLP tasks such as text generation, content summarization, question answering, and more. This flexibility is powered by various transformer model architectures from the transformers library, allowing for the deployment of models like T5, GPT-2, and others based on your project's needs.",
+            "files": [
+                "https://github.com/Big-Idea-Technology/ComfyUI_LLM_Node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Big-Idea-Technology/ComfyUI_LLM_Node",
+            "title": "LLM Node for ComfyUI"
+        },
+        {
+            "author": "Guillaume-Fgt",
+            "description": "A custom node to create empty latents for Stable Cascade.\nfeatures: width and height incrementation of 64 by default, possibility to lock the aspect ratio, switch width/height at execution",
+            "files": [
+                "https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio"
+            ],
+            "id": "cascade-latent-ratio",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio",
+            "title": "ComfyUI_StableCascadeLatentRatio"
+        },
+        {
+            "author": "AuroBit",
+            "description": "A ComfyUI custom node that simply integrates the [a/OOTDiffusion](https://github.com/levihsu/OOTDiffusion) functionality.",
+            "files": [
+                "https://github.com/AuroBit/ComfyUI-OOTDiffusion"
+            ],
+            "id": "ootdiffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AuroBit/ComfyUI-OOTDiffusion",
+            "title": "ComfyUI OOTDiffusion"
+        },
+        {
+            "author": "AuroBit",
+            "description": "A ComfyUI custom node that simply integrates the [a/animate-anyone-reproduction](https://github.com/bendanzzc/AnimateAnyone-reproduction) functionality.",
+            "files": [
+                "https://github.com/AuroBit/ComfyUI-AnimateAnyone-reproduction"
+            ],
+            "id": "animateanyone-reproduction",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AuroBit/ComfyUI-AnimateAnyone-reproduction",
+            "title": "ComfyUI-AnimateAnyone-reproduction"
+        },
+        {
+            "author": "czcz1024",
+            "description": "Nodes:FaceCompare",
+            "files": [
+                "https://github.com/czcz1024/Comfyui-FaceCompare"
+            ],
+            "id": "facecompare",
+            "install_type": "git-clone",
+            "reference": "https://github.com/czcz1024/Comfyui-FaceCompare",
+            "title": "Face Compare"
+        },
+        {
+            "author": "TheBill2001",
+            "description": "This custom node allow upscaling an image by a factor using a model.",
+            "files": [
+                "https://github.com/TheBill2001/comfyui-upscale-by-model"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TheBill2001/comfyui-upscale-by-model",
+            "title": "comfyui-upscale-by-model"
+        },
+        {
+            "author": "TheBill2001",
+            "description": "Provide two custom nodes to load and save images with captions as separate files.",
+            "files": [
+                "https://github.com/TheBill2001/ComfyUI-Save-Image-Caption"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TheBill2001/ComfyUI-Save-Image-Caption",
+            "title": "Save Images with Captions"
+        },
+        {
+            "author": "leoleelxh",
+            "description": "A minimalist node that calls LLMs, combined with one API, can call all language models, including local models.",
+            "files": [
+                "https://github.com/leoleelxh/ComfyUI-LLMs"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leoleelxh/ComfyUI-LLMs",
+            "title": "ComfyUI-LLMs"
+        },
+        {
+            "author": "hughescr",
+            "description": "This is a single node which can take the POSE_KEYPOINT output from the OpenPose extractor node, parse it, and return x,y,width,height bounding boxes around any elements of the OpenPose skeleton",
+            "files": [
+                "https://github.com/hughescr/ComfyUI-OpenPose-Keypoint-Extractor"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/hughescr/ComfyUI-OpenPose-Keypoint-Extractor",
+            "title": "OpenPose Keypoint Extractor"
+        },
+        {
+            "author": "jkrauss82",
+            "description": "Nodes:SaveImgAdv, CLIPTextEncodeWithStats. Collection of tools supporting txt2img generation in ComfyUI and other tasks.",
+            "files": [
+                "https://github.com/jkrauss82/ultools-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jkrauss82/ultools-comfyui",
+            "title": "ULTools for ComfyUI"
+        },
+        {
+            "author": "hiforce",
+            "description": "Custom nodes pack provided by [a/HiFORCE](https://www.hiforce.net/) for ComfyUI. This custom node helps to conveniently enhance images through Sampler, Upscaler, Mask, and more.\nNOTE:You should install [a/ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack). Many optimizations are built upon the foundation of ComfyUI-Impact-Pack.",
+            "files": [
+                "https://github.com/hiforce/comfyui-hiforce-plugin"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/hiforce/comfyui-hiforce-plugin",
+            "title": "Comfyui HiFORCE Plugin"
+        },
+        {
+            "author": "kuschanow",
+            "description": "This custom node helps to transform latent in different ways.",
+            "files": [
+                "https://github.com/RomanKuschanow/ComfyUI-Advanced-Latent-Control"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/RomanKuschanow/ComfyUI-Advanced-Latent-Control",
+            "title": "Advanced Latent Control"
+        },
+        {
+            "author": "guill",
+            "description": "Nodes:Abracadabra Summary, Abracadabra",
+            "files": [
+                "https://github.com/guill/abracadabra-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/guill/abracadabra-comfyui",
+            "title": "abracadabra-comfyui"
+        },
+        {
+            "author": "cerspense",
+            "description": "Nodes:Image Dir Iterator, Modelscopet2v, Modelscopev2v, Vid Dir Iterator, Image Dir Iterator, Text File Line Iterator, Remap Range, Split Image Channels, Resize By Image, Increment Every N.",
+            "files": [
+                "https://github.com/cerspense/ComfyUI_cspnodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/cerspense/ComfyUI_cspnodes",
+            "title": "cspnodes"
+        },
+        {
+            "author": "qwixiwp",
+            "description": "Nodes:load images (queue tools). tools made for queueing in comfyUI",
+            "files": [
+                "https://github.com/qwixiwp/queuetools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/qwixiwp/queuetools",
+            "title": "queuetools"
+        },
+        {
+            "author": "Chan-0312",
+            "description": "Welcome to ComfyUI Prompt Preview, where you can visualize the styles from [sdxl_prompt_styler](https://github.com/twri/sdxl_prompt_styler).",
+            "files": [
+                "https://github.com/Chan-0312/ComfyUI-Prompt-Preview"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Chan-0312/ComfyUI-Prompt-Preview",
+            "title": "ComfyUI-Prompt-Preview"
+        },
+        {
+            "author": "munkyfoot",
+            "description": "This extension provides a node that allows you to overlay text on an image or a batch of images with support for custom fonts and styles.",
+            "files": [
+                "https://github.com/Munkyfoot/ComfyUI-TextOverlay"
+            ],
+            "id": "textoverlay-munkyfoot",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Munkyfoot/ComfyUI-TextOverlay",
+            "title": "ComfyUI-TextOverlay"
+        },
+        {
+            "author": "holchan",
+            "description": "A ComfyUI node to download models(Checkpoints and LoRA) from external links and act as an output standalone node.",
+            "files": [
+                "https://github.com/holchan/ComfyUI-ModelDownloader"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/holchan/ComfyUI-ModelDownloader",
+            "title": "ComfyUI-ModelDownloader"
+        },
+        {
+            "author": "CC-BryanOttho",
+            "description": "This package provides three custom nodes designed to streamline workflows involving API requests, dynamic text manipulation based on API responses, and image posting to APIs. These nodes are particularly useful for automating interactions with APIs, enhancing text-based workflows with dynamic data, and facilitating image uploads.",
+            "files": [
+                "https://github.com/CC-BryanOttho/ComfyUI_API_Manager"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/CC-BryanOttho/ComfyUI_API_Manager",
+            "title": "ComfyUI_API_Manager"
+        },
+        {
+            "author": "maracman",
+            "description": "Store a CSV of prompts where the style can change for each subject. The CSV node initialises with the column (style) and row (subject) names for easy interpretability.",
+            "files": [
+                "https://github.com/maracman/ComfyUI-SubjectStyle-CSV"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/maracman/ComfyUI-SubjectStyle-CSV",
+            "title": "ComfyUI-SubjectStyle-CSV"
+        },
+        {
+            "author": "438443467",
+            "description": "Nodes:GPT4V-Image-Captioner",
+            "files": [
+                "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner",
+            "title": "ComfyUI-GPT4V-Image-Captioner"
+        },
+        {
+            "author": "uetuluk",
+            "description": "Nodes:Webcam Capture",
+            "files": [
+                "https://github.com/uetuluk/comfyui-webcam-node"
+            ],
+            "id": "webcam",
+            "install_type": "git-clone",
+            "reference": "https://github.com/uetuluk/comfyui-webcam-node",
+            "title": "comfyui-webcam-node"
+        },
+        {
+            "author": "huchenlei",
+            "description": "ComfyUI implementation of [a/LayerDiffusion](https://github.com/layerdiffusion/LayerDiffusion).",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI-layerdiffuse"
+            ],
+            "id": "layerdiffuse",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI-layerdiffuse",
+            "title": "ComfyUI-layerdiffuse (layerdiffusion)"
+        },
+        {
+            "author": "huchenlei",
+            "description": "ComfyUI node of [a/Kohaku's DanTagGen Demo](https://huggingface.co/KBlueLeaf/DanTagGen?not-for-all-audiences=true).",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI_DanTagGen"
+            ],
+            "id": "dantangen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI_DanTagGen",
+            "title": "ComfyUI_DanTagGen"
+        },
+        {
+            "author": "huchenlei",
+            "description": "Port of [a/https://github.com/huchenlei/sd-webui-openpose-editor](https://github.com/huchenlei/sd-webui-openpose-editor) in ComfyUI",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI-openpose-editor"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI-openpose-editor",
+            "title": "ComfyUI-openpose-editor"
+        },
+        {
+            "author": "huchenlei",
+            "description": "ComfyUI native implementation of [a/IC-Light](https://github.com/lllyasviel/IC-Light).",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI-IC-Light-Native"
+            ],
+            "id": "ic-light-native",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI-IC-Light-Native",
+            "title": "ComfyUI-IC-Light-Native"
+        },
+        {
+            "author": "huchenlei",
+            "description": "[a/DenseDiffusion](https://github.com/naver-ai/DenseDiffusion) custom node for ComfyUI.",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI_densediffusion"
+            ],
+            "id": "densediffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI_densediffusion",
+            "title": "ComfyUI DenseDiffusion"
+        },
+        {
+            "author": "huchenlei",
+            "description": "ComfyUI implementation of [a/Omost](https://github.com/lllyasviel/Omost), and everything about regional prompt.\nNOTE: You need to install ComfyUI_densediffusion to use this node.",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI_omost"
+            ],
+            "id": "omost",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI_omost",
+            "title": "ComfyUI_omost"
+        },
+        {
+            "author": "nathannlu",
+            "description": "Play with your pet while your workflow generates!",
+            "files": [
+                "https://github.com/nathannlu/ComfyUI-Pets"
+            ],
+            "id": "pets",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nathannlu/ComfyUI-Pets",
+            "title": "ComfyUI Pets"
+        },
+        {
+            "author": "nathannlu",
+            "description": "Run your workflow using cloud GPU resources, from your local ComfyUI.\nNOTE:After you first install the plugin...\nThe first time you click 'generate', you will be prompted to log into your account.Subsequent generations after the first is faster (the first run it takes a while to process your workflow). Once those two steps have been completed, you will be able to seamlessly generate your workflow on the cloud!",
+            "files": [
+                "https://github.com/nathannlu/ComfyUI-Cloud"
+            ],
+            "id": "cloud",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nathannlu/ComfyUI-Cloud",
+            "title": "Comfy Cloud"
+        },
+        {
+            "author": "11dogzi",
+            "description": "This is a node group kit that covers multiple nodes such as local refinement, tag management, random prompt words, text processing, image processing, mask processing, etc",
+            "files": [
+                "https://github.com/11dogzi/Comfyui-ergouzi-Nodes"
+            ],
+            "id": "ergouzi-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/11dogzi/Comfyui-ergouzi-Nodes",
+            "title": "Comfyui-ergouzi-Nodes"
+        },
+        {
+            "author": "11dogzi",
+            "description": "Partial redraw sampler and variant seed sampler",
+            "files": [
+                "https://github.com/11dogzi/Comfyui-ergouzi-samplers"
+            ],
+            "id": "ergouzi-samplers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/11dogzi/Comfyui-ergouzi-samplers",
+            "title": "Comfyui-ergouzi-samplers"
+        },
+        {
+            "author": "11dogzi",
+            "description": "Group switching control, one click control to ignore and disable multiple groups, as well as wired switch combination nodes, allowing for arbitrary switching of annotation names",
+            "files": [
+                "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan"
+            ],
+            "id": "ergouzi-kaiguan",
+            "install_type": "git-clone",
+            "reference": "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan",
+            "title": "Comfyui-ergouzi-kaiguan"
+        },
+        {
+            "author": "11dogzi",
+            "description": "This is a hierarchical auxiliary project of the IPAdapter project, which uses a slider to quickly control the hierarchical weights and add fully random and semi random modes",
+            "files": [
+                "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant"
+            ],
+            "id": "madassistant",
+            "install_type": "git-clone",
+            "reference": "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant",
+            "title": "ComfUI-EGAdapterMadAssistant"
+        },
+        {
+            "author": "BXYMartin",
+            "description": "Nodes:Multi-ControlNet Converter, List of Images, Convert PIL to Tensor (NHWC), Convert Tensor (NHWC) to (NCHW), Convert Tensor (NHWC) to PIL",
+            "files": [
+                "https://github.com/BXYMartin/ComfyUI-InstantIDUtils"
+            ],
+            "id": "instantid-utils",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BXYMartin/ComfyUI-InstantIDUtils",
+            "title": "ComfyUI-InstantIDUtils"
+        },
+        {
+            "author": "cdb-boop",
+            "description": "A simple node to round an input image up (pad) or down (crop) to the nearest integer multiple. Padding offset from left/bottom and the padding value are adjustable.",
+            "files": [
+                "https://github.com/cdb-boop/comfyui-image-round"
+            ],
+            "id": "image-round",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cdb-boop/comfyui-image-round",
+            "title": "comfyui-image-round"
+        },
+        {
+            "author": "cdb-boop",
+            "description": "Enhance old or low-quality images in ComfyUI. Optional features include automatic scratch removal and face enhancement. Based on Microsoft's Bringing-Old-Photos-Back-to-Life. Requires installing models, so see instructions here: https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life.",
+            "files": [
+                "https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life",
+            "title": "ComfyUI Bringing Old Photos Back to Life"
+        },
+        {
+            "author": "atmaranto",
+            "description": "A version of ComfyUI-to-Python-Extension that works as a custom node. Adds a button in the UI that saves the current workflow as a Python file, a CLI for converting workflows, and slightly better custom node support.",
+            "files": [
+                "https://github.com/atmaranto/ComfyUI-SaveAsScript"
+            ],
+            "id": "saveasscript",
+            "install_type": "git-clone",
+            "reference": "https://github.com/atmaranto/ComfyUI-SaveAsScript",
+            "title": "SaveAsScript"
+        },
+        {
+            "author": "meshmesh-io",
+            "description": "Nodes:ColorListMaskToImage, FlattenAndCombineMaskImages",
+            "files": [
+                "https://github.com/meshmesh-io/mm-comfyui-megamask"
+            ],
+            "id": "megamask",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meshmesh-io/mm-comfyui-megamask",
+            "title": "mm-comfyui-megamask"
+        },
+        {
+            "author": "meshmesh-io",
+            "description": "Nodes:Loop, LoopStart, LoopEnd, LoopStart_SEGIMAGE, LoopEnd_SEGIMAGE",
+            "files": [
+                "https://github.com/meshmesh-io/mm-comfyui-loopback"
+            ],
+            "id": "mm-loopback",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meshmesh-io/mm-comfyui-loopback",
+            "title": "mm-comfyui-loopback"
+        },
+        {
+            "author": "meshmesh-io",
+            "description": "Nodes:Masks to Colored Masks, Color Picker",
+            "files": [
+                "https://github.com/meshmesh-io/ComfyUI-MeshMesh"
+            ],
+            "id": "meshmesh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meshmesh-io/ComfyUI-MeshMesh",
+            "title": "ComfyUI-MeshMesh"
+        },
+        {
+            "author": "CozyMantis",
+            "description": "A ComfyUI node to automatically extract masks for body regions and clothing/fashion items. Made with \ud83d\udc9a by the CozyMantis squad.",
+            "files": [
+                "https://github.com/cozymantis/human-parser-comfyui-node"
+            ],
+            "id": "humanparser",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cozymantis/human-parser-comfyui-node",
+            "title": "Cozy Human Parser"
+        },
+        {
+            "author": "CozyMantis",
+            "description": "Generate OpenPose face/body reference poses in ComfyUI with ease. Made with \ud83d\udc9a by the CozyMantis squad.",
+            "files": [
+                "https://github.com/cozymantis/pose-generator-comfyui-node"
+            ],
+            "id": "posegen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cozymantis/pose-generator-comfyui-node",
+            "title": "Cozy Reference Pose Generator"
+        },
+        {
+            "author": "CozyMantis",
+            "description": "Various cozy nodes, made with \ud83d\udc9a by the CozyMantis squad.",
+            "files": [
+                "https://github.com/cozymantis/cozy-utils-comfyui-nodes"
+            ],
+            "id": "cozy-utils",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cozymantis/cozy-utils-comfyui-nodes",
+            "title": "Cozy Utils"
+        },
+        {
+            "author": "vivax3794",
+            "description": "Nodes:Inspect, Any String, Model From URL",
+            "files": [
+                "https://github.com/vivax3794/ComfyUI-Vivax-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/vivax3794/ComfyUI-Vivax-Nodes",
+            "title": "ComfyUI-Vivax-Nodes"
+        },
+        {
+            "author": "vivax3794",
+            "description": "Creating subgraph and Calling subgraphs.",
+            "files": [
+                "https://github.com/vivax3794/ComfyUI-Sub-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/vivax3794/ComfyUI-Sub-Nodes",
+            "title": "ComfyUI-Sub-Nodes"
+        },
+        {
+            "author": "victorchall",
+            "description": "This node captures images one at a time from your webcam when you click generate.\nThis is particular useful for img2img or controlnet workflows.\nNOTE:This node will take over your webcam, so if you have another program using it, you may need to close that program first. Likewise, you may need to close Comfyui or close the workflow to release the webcam.",
+            "files": [
+                "https://github.com/victorchall/comfyui_webcamcapture"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/victorchall/comfyui_webcamcapture",
+            "title": "Comfyui Webcam capture node"
+        },
+        {
+            "author": "ljleb",
+            "description": "model merging nodes powered by sd-mecha, a memory efficient state dict recipe merger.",
+            "files": [
+                "https://github.com/ljleb/comfy-mecha"
+            ],
+            "id": "mecha",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ljleb/comfy-mecha",
+            "title": "Mecha Merge Node Pack"
+        },
+        {
+            "author": "diSty",
+            "description": "This node creates a sequence of frames by moving and scaling a subject image over a background image.",
+            "files": [
+                "https://github.com/diStyApps/ComfyUI_FrameMaker"
+            ],
+            "id": "frame-maker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/diStyApps/ComfyUI_FrameMaker",
+            "title": "ComfyUI Frame Maker"
+        },
+        {
+            "author": "hackkhai",
+            "description": "This node improves the quality of the image mask. more suitable for image composite matting",
+            "files": [
+                "https://github.com/hackkhai/ComfyUI-Image-Matting"
+            ],
+            "id": "image-matting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hackkhai/ComfyUI-Image-Matting",
+            "title": "ComfyUI-Image-Matting"
+        },
+        {
+            "author": "Pos13",
+            "description": "This extension provides tools to iterate generation results between runs. In general, it's for cycles.",
+            "files": [
+                "https://github.com/Pos13/comfyui-cyclist"
+            ],
+            "id": "cyclist",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Pos13/comfyui-cyclist",
+            "title": "Cyclist"
+        },
+        {
+            "author": "ExponentialML",
+            "description": "Allows native usage of ModelScope based Text To Video Models in ComfyUI",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_ModelScopeT2V"
+            ],
+            "id": "modelscopet2v",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ExponentialML/ComfyUI_ModelScopeT2V",
+            "title": "ComfyUI_ModelScopeT2V"
+        },
+        {
+            "author": "ExponentialML",
+            "description": "DynamiCrafter that works natively with ComfyUI's nodes, optimizations, ControlNet, and more.",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter"
+            ],
+            "id": "dynamicrafter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter",
+            "title": "ComfyUI - Native DynamiCrafter"
+        },
+        {
+            "author": "ExponentialML",
+            "description": "ComfyUI Version of '[a/Visual Style Prompting with Swapping Self-Attention](https://github.com/naver-ai/Visual-Style-Prompting)'",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_VisualStylePrompting"
+            ],
+            "id": "visual-style-prompting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ExponentialML/ComfyUI_VisualStylePrompting",
+            "title": "ComfyUI_VisualStylePrompting"
+        },
+        {
+            "author": "angeloshredder",
+            "description": "Nodes:Cascade_Resizer",
+            "files": [
+                "https://github.com/angeloshredder/StableCascadeResizer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/angeloshredder/StableCascadeResizer",
+            "title": "StableCascadeResizer"
+        },
+        {
+            "author": "stavsap",
+            "description": "Custom ComfyUI Nodes for interacting with [a/Ollama](https://ollama.com/) using the [a/ollama python client](https://github.com/ollama/ollama-python).\nIntegrate the power of LLMs into CompfyUI workflows easily.",
+            "files": [
+                "https://github.com/stavsap/comfyui-ollama"
+            ],
+            "id": "ollama",
+            "install_type": "git-clone",
+            "reference": "https://github.com/stavsap/comfyui-ollama",
+            "title": "ComfyUI Ollama"
+        },
+        {
+            "author": "dchatel",
+            "description": "Nodes:SmartMask, ResizeCropFit, Percent Padding, SoftErosion, StringScheduleHelper, DStack, DavchaConditioningConcat, DavchaModelMergeSimple, DavchaCLIPMergeSimple, DavchaModelMergeSD1, DavchaModelMergeSDXL, ConditioningCompress... Some personal QoL and experimental nodes",
+            "files": [
+                "https://github.com/dchatel/comfyui_davcha"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/dchatel/comfyui_davcha",
+            "title": "comfyui_davcha"
+        },
+        {
+            "author": "dchatel",
+            "description": "These custom nodes provide a rotation aware face extraction, paste back, and various face related masking options.",
+            "files": [
+                "https://github.com/dchatel/comfyui_facetools"
+            ],
+            "id": "facetools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dchatel/comfyui_facetools",
+            "title": "comfyui_facetools"
+        },
+        {
+            "author": "prodogape",
+            "description": "This plugin is mainly based on Minio, implementing the ability to read images from Minio, save images, facilitating expansion and connection across multiple machines.",
+            "files": [
+                "https://github.com/prodogape/ComfyUI-Minio"
+            ],
+            "id": "minio",
+            "install_type": "git-clone",
+            "reference": "https://github.com/prodogape/ComfyUI-Minio",
+            "title": "Comfyui-Minio"
+        },
+        {
+            "author": "prodogape",
+            "description": "This node is primarily based on Easy-OCR to implement OCR text recognition functionality.",
+            "files": [
+                "https://github.com/prodogape/ComfyUI-EasyOCR"
+            ],
+            "id": "easyocr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/prodogape/ComfyUI-EasyOCR",
+            "title": "ComfyUI-EasyOCR"
+        },
+        {
+            "author": "prodogape",
+            "description": "This node is mainly based on [a/OmDet](https://github.com/om-ai-lab/OmDet) for object detection, and it outputs related images, masks, and Labelme JSON information.",
+            "files": [
+                "https://github.com/prodogape/ComfyUI-OmDet"
+            ],
+            "id": "omdet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/prodogape/ComfyUI-OmDet",
+            "title": "ComfyUI-OmDet"
+        },
+        {
+            "author": "prodogape",
+            "description": "This node is mainly based on the Yolov8 model for object detection, and it outputs related images, masks, and JSON information.[w/Repository url is changed. Please remove previous one and reinstall.]",
+            "files": [
+                "https://github.com/prodogape/Comfyui-Yolov8-JSON"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/prodogape/Comfyui-Yolov8-JSON",
+            "title": "Comfyui-Yolov8-JSON"
+        },
+        {
+            "author": "kingzcheung",
+            "description": "These nodes are mainly used to translate prompt words from other languages into English. PromptTranslateToText implements prompt word translation based on Helsinki NLP translation model.It doesn't require internet connection\u3002",
+            "files": [
+                "https://github.com/AIGCTeam/ComfyUI_kkTranslator_nodes"
+            ],
+            "id": "kktranslator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIGCTeam/ComfyUI_kkTranslator_nodes",
+            "title": "ComfyUI_kkTranslator_nodes"
+        },
+        {
+            "author": "vsevolod-oparin",
+            "description": "Nodes provide an options to combine prior and decoder models of Kandinsky 2.2.",
+            "files": [
+                "https://github.com/vsevolod-oparin/comfyui-kandinsky22"
+            ],
+            "id": "kandinsky",
+            "install_type": "git-clone",
+            "reference": "https://github.com/vsevolod-oparin/comfyui-kandinsky22",
+            "title": "Kandinsky 2.2 ComfyUI Plugin"
+        },
+        {
+            "author": "Xyem",
+            "description": "Xycuno Oobabooga provides custom nodes for ComfyUI, for sending requests to an [a/Oobabooga](https://github.com/oobabooga/text-generation-webui) instance to assist in creating prompt texts.",
+            "files": [
+                "https://github.com/Xyem/Xycuno-Oobabooga"
+            ],
+            "id": "xycuno-oobabooga",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Xyem/Xycuno-Oobabooga",
+            "title": "Xycuno Oobabooga"
+        },
+        {
+            "author": "shi3z",
+            "description": "You can use memeplex and DALL-E thru ComfyUI. You need API keys.",
+            "files": [
+                "https://github.com/shi3z/ComfyUI_Memeplex_DALLE"
+            ],
+            "id": "memeplex-dalle",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shi3z/ComfyUI_Memeplex_DALLE",
+            "title": "ComfyUI_Memeplex_DALLE"
+        },
+        {
+            "author": "if-ai",
+            "description": "Various AI tools to use in Comfy UI. Starting with VL and prompt making tools using Ollma as backend will evolve as I find time.",
+            "files": [
+                "https://github.com/if-ai/ComfyUI-IF_AI_tools"
+            ],
+            "id": "if-ai-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/if-ai/ComfyUI-IF_AI_tools",
+            "title": "ComfyUI-IF_AI_tools"
+        },
+        {
+            "author": "if-ai",
+            "description": "This repository hosts a Text-to-Speech (TTS) application that leverages Whisper Speech for voice synthesis, allowing users to train a voice model on-the-fly. It is built on ComfyUI and supports rapid training and inference processes.",
+            "files": [
+                "https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode"
+            ],
+            "id": "if-ai-whisper-speech",
+            "install_type": "git-clone",
+            "reference": "https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode",
+            "title": "ComfyUI-IF_AI_WishperSpeechNode"
+        },
+        {
+            "author": "if-ai",
+            "description": "Talking avatars Heads for the IF_AI tools integrates dreamtalk in ComfyUI",
+            "files": [
+                "https://github.com/if-ai/ComfyUI-IF_AI_HFDownloaderNode"
+            ],
+            "id": "if-ai-hfdownloader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/if-ai/ComfyUI-IF_AI_HFDownloaderNode",
+            "title": "ComfyUI-IF_AI_HFDownloaderNode"
+        },
+        {
+            "author": "dmMaze",
+            "description": "Apply screentone to line drawings or colored illustrations with diffusion models.",
+            "files": [
+                "https://github.com/dmMaze/sketch2manga"
+            ],
+            "id": "sketch2manga",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dmMaze/sketch2manga",
+            "title": "Sketch2Manga"
+        },
+        {
+            "author": "olduvai-jp",
+            "description": "Nodes:Lora Loader From HF",
+            "files": [
+                "https://github.com/olduvai-jp/ComfyUI-HfLoader"
+            ],
+            "id": "hfloader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/olduvai-jp/ComfyUI-HfLoader",
+            "title": "ComfyUI-HfLoader"
+        },
+        {
+            "author": "AiMiDi",
+            "description": "Nodes:Merge Tag, Clear Tag, Add Tag, Load Images Pair Batch, Save Images Pair",
+            "files": [
+                "https://github.com/AiMiDi/ComfyUI-Aimidi-nodes"
+            ],
+            "id": "aimidi-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AiMiDi/ComfyUI-Aimidi-nodes",
+            "title": "ComfyUI-Aimidi-nodes"
+        },
+        {
+            "author": "ForeignGods",
+            "description": "Font Animation, Speech Recognition, Caption Generator, TTS",
+            "files": [
+                "https://github.com/ForeignGods/ComfyUI-Mana-Nodes"
+            ],
+            "id": "mana-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ForeignGods/ComfyUI-Mana-Nodes",
+            "title": "ComfyUI-Mana-Nodes"
+        },
+        {
+            "author": "Cornea Valentin",
+            "description": "This ComfyUI custom node, named ControlNet Auxiliar, is designed to provide auxiliary functionalities for image processing tasks. It is particularly useful for various image manipulation and enhancement operations. The node is integrated with functionalities for converting images between different formats and applying various image processing techniques.",
+            "files": [
+                "https://github.com/madtunebk/ComfyUI-ControlnetAux"
+            ],
+            "id": "controlnet-aux-valentin",
+            "install_type": "git-clone",
+            "reference": "https://github.com/madtunebk/ComfyUI-ControlnetAux",
+            "title": "ControlNet Auxiliar"
+        },
+        {
+            "author": "MarkoCa1",
+            "description": "Text.",
+            "files": [
+                "https://github.com/MarkoCa1/ComfyUI-Text"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MarkoCa1/ComfyUI-Text",
+            "title": "ComfyUI-Text"
+        },
+        {
+            "author": "MarkoCa1",
+            "description": "Mask cutout based on Segment Anything.",
+            "files": [
+                "https://github.com/MarkoCa1/ComfyUI_Segment_Mask"
+            ],
+            "id": "seg-mask",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MarkoCa1/ComfyUI_Segment_Mask",
+            "title": "ComfyUI_Segment_Mask"
+        },
+        {
+            "author": "Shadetail",
+            "description": "Custom nodes for ComfyUI by Eagleshadow.",
+            "files": [
+                "https://github.com/Shadetail/ComfyUI_Eagleshadow"
+            ],
+            "id": "eagleshadow",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Shadetail/ComfyUI_Eagleshadow",
+            "title": "Eagleshadow Custom Nodes"
+        },
+        {
+            "author": "ArdeniusAI",
+            "description": "1 node to have control over your workflow.",
+            "files": [
+                "https://github.com/ArdeniusAI/CPlus_Ardenius"
+            ],
+            "id": "controlbox",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ArdeniusAI/CPlus_Ardenius",
+            "title": "CPlus_Ardenius ComfyUI Control Box"
+        },
+        {
+            "author": "Jannchie",
+            "description": "This is a completely different set of nodes than Comfy's own KSampler series. This set of nodes is based on Diffusers, which makes it easier to import models, apply prompts with weights, inpaint, reference only, controlnet, etc.",
+            "files": [
+                "https://github.com/Jannchie/ComfyUI-J"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Jannchie/ComfyUI-J",
+            "title": "ComfyUI-J"
+        },
+        {
+            "author": "daxcay",
+            "description": "Jerry Davos Custom Nodes for Saving Latents in Directory (BatchLatentSave) , Importing Latent from directory (BatchLatentLoadFromDir) , List to string, string to list, get any file list from directory which give filepath, filename, move any files from any directory to any other directory, VHS Video combine file mover, rebatch list of strings, batch image load from any dir, load image batch from any directory and other custom nodes.",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-JDCN"
+            ],
+            "id": "jdcn",
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxcay/ComfyUI-JDCN",
+            "title": "ComfyUI-JDCN"
+        },
+        {
+            "author": "daxcay",
+            "description": "Data research, preparation, and manipulation nodes for model trainers and artists.",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-DataSet"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxcay/ComfyUI-DataSet",
+            "title": "ComfyUI-DataSet"
+        },
+        {
+            "author": "daxcay",
+            "description": "Node to enable seamless multiuser workflow collaboration, run on local and remote comfy servers.",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-Nexus"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxcay/ComfyUI-Nexus",
+            "title": "ComfyUI-Nexus"
+        },
+        {
+            "author": "daxcay",
+            "description": "This node allows the execution of Node.js application within ComfyUI by leveraging the ComfyUI-NODEJS, which starts alongside ComfyUI and facilitates the installation of Node.js. The integration enables Python subprocesses to execute Node.js scripts.",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-NODEJS"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxcay/ComfyUI-NODEJS",
+            "title": "ComfyUI-NODEJS"
+        },
+        {
+            "author": "Seedsa",
+            "description": "This extension provides image generation features based on Fooocus.",
+            "files": [
+                "https://github.com/Seedsa/Fooocus_Nodes"
+            ],
+            "id": "fooocus-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Seedsa/Fooocus_Nodes",
+            "title": "ComfyUI Fooocus Nodes"
+        },
+        {
+            "author": "zhangp365",
+            "description": "Nodes:LoadImageWithSwitch, ImageBatchOneOrMore, ModifyTextGender, ImageCompositeMaskedWithSwitch, ColorCorrectOfUtils, SplitMask, MaskFastGrow, CheckpointLoaderSimpleWithSwitch, ImageResizeTo8x, MatchImageRatioToPreset etc.",
+            "files": [
+                "https://github.com/zhangp365/ComfyUI-utils-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zhangp365/ComfyUI-utils-nodes",
+            "title": "zhangp365/ComfyUI-utils-nodes"
+        },
+        {
+            "author": "ratulrafsan",
+            "description": "Dressup your models!\nThis is my quick implementation of the SAL-VTON node for ComfyUI.\nBased on the paper [a/Keyu Y. Tingwei G. et al. (2023). Linking Garment with Person via Semantically Associated Landmakrs for Virtual Try-On](https://openaccess.thecvf.com/content/CVPR2023/papers/Yan_Linking_Garment_With_Person_via_Semantically_Associated_Landmarks_for_Virtual_CVPR_2023_paper.pdf)",
+            "files": [
+                "https://github.com/ratulrafsan/Comfyui-SAL-VTON"
+            ],
+            "id": "sal-vton",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ratulrafsan/Comfyui-SAL-VTON",
+            "title": "Comfyui-SAL-VTON"
+        },
+        {
+            "author": "Nevysha",
+            "description": "A simple sidebar tweak to force fixe the ComfyUI menu to the top of the screen. Reaaally quick and dirty. May break with some ComfyUI setup.",
+            "files": [
+                "https://github.com/Nevysha/ComfyUI-nevysha-top-menu"
+            ],
+            "id": "nevysha-top-menu",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nevysha/ComfyUI-nevysha-top-menu",
+            "title": "ComfyUI-nevysha-top-menu"
+        },
+        {
+            "author": "alisson-anjos",
+            "description": "This is an extension for ComfyUI that makes it possible to use some LLM models provided by Ollama, such as Gemma, Llava (multimodal), Llama2, Llama3 or Mistral. Speaking specifically of the LLaVa - Large Language and Vision Assistant model, although trained on a relatively small dataset, it demonstrates exceptional capabilities in understanding images and answering questions about them. This model presents similar behaviors to multimodal models such as GPT-4, even when presented with invisible images and instructions.",
+            "files": [
+                "https://github.com/alisson-anjos/ComfyUI-Ollama-Describer"
+            ],
+            "id": "ollama-describer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alisson-anjos/ComfyUI-Ollama-Describer",
+            "title": "ComfyUI-Ollama-Describer"
+        },
+        {
+            "author": "chaosaiart",
+            "description": "LowVRAM Animation : txt2video - img2video - video2video , Frame by Frame, compatible with LowVRAM GPUs\nIncluded : Prompt Switch, Checkpoint Switch, Cache, Number Count by Frame, Ksampler txt2img & img2img ...",
+            "files": [
+                "https://github.com/chaosaiart/Chaosaiart-Nodes"
+            ],
+            "id": "chaosaiart",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaosaiart/Chaosaiart-Nodes",
+            "title": "Chaosaiart-Nodes"
+        },
+        {
+            "author": "viperyl",
+            "description": "Bilateral Reference Network achieves SOTA result in multi Salient Object Segmentation dataset, this repo pack BiRefNet as ComfyUI nodes, and make this SOTA model easier use for everyone.",
+            "files": [
+                "https://github.com/viperyl/ComfyUI-BiRefNet"
+            ],
+            "id": "comfyui-birefnet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/viperyl/ComfyUI-BiRefNet",
+            "title": "ComfyUI-BiRefNet"
+        },
+        {
+            "author": "viperyl",
+            "description": "This repo cast Recursive Generalization Transformer for Image Super-Resolution to ComfyUI, the original [a/paper link](https://arxiv.org/abs/2303.06373) and [a/github link](https://github.com/zhengchen1999/RGT)",
+            "files": [
+                "https://github.com/viperyl/ComfyUI-RGT"
+            ],
+            "id": "rgt",
+            "install_type": "git-clone",
+            "pip": [
+                "loguru"
+            ],
+            "reference": "https://github.com/viperyl/ComfyUI-RGT",
+            "title": "ComfyUI-RGT"
+        },
+        {
+            "author": "SuperBeastsAI",
+            "description": "Nodes:HDR Effects (SuperBeasts.AI). This repository contains custom nodes for ComfyUI created and used by SuperBeasts.AI (@SuperBeasts.AI on Instagram)",
+            "files": [
+                "https://github.com/SuperBeastsAI/ComfyUI-SuperBeasts"
+            ],
+            "id": "superbeasts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SuperBeastsAI/ComfyUI-SuperBeasts",
+            "title": "ComfyUI-SuperBeasts"
+        },
+        {
+            "author": "hay86",
+            "description": "Unofficial implementation of [a/dreamtalk](https://github.com/ali-vilab/dreamtalk) for ComfyUI",
+            "files": [
+                "https://github.com/hay86/ComfyUI_Dreamtalk"
+            ],
+            "id": "dreamtalk",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_Dreamtalk",
+            "title": "ComfyUI Dreamtalk"
+        },
+        {
+            "author": "hay86",
+            "description": "Unofficial implementation of [a/hallo](https://github.com/fudan-generative-vision/hallo) for ComfyUI",
+            "files": [
+                "https://github.com/hay86/ComfyUI_Hallo"
+            ],
+            "id": "hallo-hay86",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_Hallo",
+            "title": "ComfyUI Hallo"
+        },
+        {
+            "author": "hay86",
+            "description": "Unofficial implementation of [a/OpenVoice](https://github.com/myshell-ai/OpenVoice) for ComfyUI",
+            "files": [
+                "https://github.com/hay86/ComfyUI_OpenVoice"
+            ],
+            "id": "openvoice-hay86",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_OpenVoice",
+            "title": "ComfyUI OpenVoice"
+        },
+        {
+            "author": "hay86",
+            "description": "Unofficial implementation of [a/DDColor](https://github.com/piddnad/DDColor) for ComfyUI",
+            "files": [
+                "https://github.com/hay86/ComfyUI_DDColor"
+            ],
+            "id": "ddcolor-hay86",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_DDColor",
+            "title": "ComfyUI DDColor"
+        },
+        {
+            "author": "hay86",
+            "description": "Unofficial implementation of [a/MiniCPM-V](https://github.com/OpenBMB/MiniCPM-V) for ComfyUI",
+            "files": [
+                "https://github.com/hay86/ComfyUI_MiniCPM-V"
+            ],
+            "id": "minicpm-v",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_MiniCPM-V",
+            "title": "ComfyUI MiniCPM-V"
+        },
+        {
+            "author": "hay86",
+            "description": "Some useful custom nodes that are not included in ComfyUI core yet.",
+            "files": [
+                "https://github.com/hay86/ComfyUI_AceNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_AceNodes",
+            "title": "ComfyUI AceNodes"
+        },
+        {
+            "author": "shinich39",
+            "description": "This node is load png image sequentially with metadata. Only supported for PNG format that has been created by ComfyUI.[w/renamed from comfyui-load-image-39. You need to remove previous one and reinstall to this.]",
+            "files": [
+                "https://github.com/shinich39/comfyui-load-image-in-seq"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-load-image-in-seq",
+            "title": "comfyui-load-image-in-seq"
+        },
+        {
+            "author": "shinich39",
+            "description": "Shuffle nodes after queue added. [w/Repository name has been changed from comfyui-random-node-39 to comfyui-random-node. Please remove and reinstall it.]",
+            "files": [
+                "https://github.com/shinich39/comfyui-ramdom-node"
+            ],
+            "id": "random-node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-ramdom-node",
+            "title": "comfyui-random-node"
+        },
+        {
+            "author": "shinich39",
+            "description": "Store text to Key-Values pair json.",
+            "files": [
+                "https://github.com/shinich39/comfyui-local-db"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-local-db",
+            "title": "comfyui-local-db"
+        },
+        {
+            "author": "shinich39",
+            "description": "Store settings by model.",
+            "files": [
+                "https://github.com/shinich39/comfyui-model-db"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-model-db",
+            "title": "comfyui-model-db"
+        },
+        {
+            "author": "shinich39",
+            "description": "Load image and partially workflow with javascript.",
+            "files": [
+                "https://github.com/shinich39/comfyui-load-image-with-cmd"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-load-image-with-cmd",
+            "title": "comfyui-load-image-with-cmd"
+        },
+        {
+            "author": "shinich39",
+            "description": "Connect a new link from out of screen.",
+            "files": [
+                "https://github.com/shinich39/comfyui-connect-from-afar"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-connect-from-afar",
+            "title": "connect-from-afar"
+        },
+        {
+            "author": "shinich39",
+            "description": "Move canvas to target on dragging connection.",
+            "files": [
+                "https://github.com/shinich39/comfyui-target-search"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-target-search",
+            "title": "comfyui-target-search"
+        },
+        {
+            "author": "shinich39",
+            "description": "Create a new group of nodes.",
+            "files": [
+                "https://github.com/shinich39/comfyui-group-selection"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-group-selection",
+            "title": "comfyui-group-selection"
+        },
+        {
+            "author": "shinich39",
+            "description": "Add keybindings to textarea.",
+            "files": [
+                "https://github.com/shinich39/comfyui-textarea-keybindings"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-textarea-keybindings",
+            "title": "comfyui-textarea-keybindings"
+        },
+        {
+            "author": "shinich39",
+            "description": "Load image from directory.",
+            "files": [
+                "https://github.com/shinich39/comfyui-put-image"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-put-image",
+            "title": "comfyui-put-image"
+        },
+        {
+            "author": "shinich39",
+            "description": "Extract metadata from image.",
+            "files": [
+                "https://github.com/shinich39/comfyui-parse-image"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-parse-image",
+            "title": "comfyui-parse-image"
+        },
+        {
+            "author": "wei30172",
+            "description": "Setting Up a Web Interface Using ComfyUI.\nNOTE:When installed, you can access it via http://127.0.0.1:8188/comfygen.",
+            "files": [
+                "https://github.com/wei30172/comfygen"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wei30172/comfygen",
+            "title": "comfygen"
+        },
+        {
+            "author": "zombieyang",
+            "description": "getting/sending picture from/to Photoshop with a simple connection. Make Photoshop become the workspace of your ComfyUI",
+            "files": [
+                "https://github.com/zombieyang/sd-ppp"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zombieyang/sd-ppp",
+            "title": "SD-PPP"
+        },
+        {
+            "author": "KytraScript",
+            "description": "A ComfyUI node that utilizes Moviepy to convert and send your images or videos to a webhook endpoint directly from ComfyUI.",
+            "files": [
+                "https://github.com/KytraScript/ComfyUI_KytraWebhookHTTP"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/KytraScript/ComfyUI_KytraWebhookHTTP",
+            "title": "ComfyUI_KytraWebhookHTTP"
+        },
+        {
+            "author": "1mckw",
+            "description": "Get random images from gelbooru, support multiple tag searches, exclude tags, etc. user and api key are optional.",
+            "files": [
+                "https://github.com/1mckw/Comfyui-Gelbooru"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/1mckw/Comfyui-Gelbooru",
+            "title": "Comfyui-Gelbooru"
+        },
+        {
+            "author": "NeuralSamurAI",
+            "description": "The SuperPrompter node is a ComfyUI node that uses the SuperPrompt-v1 model from Hugging Face to generate text based on a given prompt. It provides various parameters to control the text generation process.",
+            "files": [
+                "https://github.com/NeuralSamurAI/Comfyui-Superprompt-Unofficial"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/NeuralSamurAI/Comfyui-Superprompt-Unofficial",
+            "title": "SuperPrompter Node for ComfyUI"
+        },
+        {
+            "author": "NeuralSamurAI",
+            "description": "Dimensional Latent Perlin is a custom node for ComfyUI that generates Perlin noise in the latent space. This node is designed to work seamlessly with various diffusion models and can be used as an alternative or complement to standard random noise generators in image generation pipelines.",
+            "files": [
+                "https://github.com/NeuralSamurAI/ComfyUI-Dimensional-Latent-Perlin"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/NeuralSamurAI/ComfyUI-Dimensional-Latent-Perlin",
+            "title": "Dimensional Latent Perlin for ComfyUI"
+        },
+        {
+            "author": "NeuralSamurAI",
+            "description": "PromptJSON is a custom node for ComfyUI that structures natural language prompts and generates prompts for external LLM nodes in image generation workflows. It aids in creating consistent, schema-based image descriptions.",
+            "files": [
+                "https://github.com/NeuralSamurAI/ComfyUI-PromptJSON"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/NeuralSamurAI/ComfyUI-PromptJSON",
+            "title": "PromptJSON Node for ComfyUI"
+        },
+        {
+            "author": "NeuralSamurAI",
+            "description": "FluxPseudoNegative is an advanced custom node for ComfyUI that converts negative prompts into positive ones. It's designed to enhance prompt engineering for image generation models that don't natively support negative prompts or where using negative prompts significantly increases generation time. So instead of hacking CFG we simply invert your negative words and find their antonyms!",
+            "files": [
+                "https://github.com/NeuralSamurAI/ComfyUI-FluxPseudoNegativePrompt"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/NeuralSamurAI/ComfyUI-FluxPseudoNegativePrompt",
+            "title": "FluxPseudoNegative"
+        },
+        {
+            "author": "MokkaBoss1",
+            "description": "Node Pack mostly for manipulating strings and integers",
+            "files": [
+                "https://github.com/MokkaBoss1/ComfyUI_Mokkaboss1"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MokkaBoss1/ComfyUI_Mokkaboss1/wiki/Documentation-for-the-ComfyUI-Nodes-in-this-Node-Pack",
+            "title": "Node Pack mostly for manipulating strings and integers"
+        },
+        {
+            "author": "jiaxiangc",
+            "description": "We provide ComfyUI-ResAdapter node to help users to use [a/ResAdapter](https://github.com/bytedance/res-adapter) in ComfyUI.",
+            "files": [
+                "https://github.com/jiaxiangc/ComfyUI-ResAdapter"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jiaxiangc/ComfyUI-ResAdapter",
+            "title": "ResAdapter for ComfyUI"
+        },
+        {
+            "author": "ParisNeo",
+            "description": "lollms_nodes_suite is a set of nodes for comfyui that harnesses the power of lollms, a state-of-the-art AI text generation tool, to improve the quality of image generation.",
+            "files": [
+                "https://github.com/ParisNeo/lollms_nodes_suite"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ParisNeo/lollms_nodes_suite",
+            "title": "lollms_nodes_suite"
+        },
+        {
+            "author": "IsItDanOrAi",
+            "description": "This initiative represents a solo venture dedicated to integrating a stereopsis effect within ComfyUI (Stable Diffusion). Presently, the project is focused on the refinement of node categorization within a unified framework, as it is in the early stages of development. However, it has achieved functionality in a fundamental capacity. By processing a video through the Side-by-Side (SBS) node and applying Frame Delay to one of the inputs, it facilitates the creation of a stereopsis effect. This effect is compatible with any Virtual Reality headset that supports SBS video playback, offering a practical application in immersive media experiences.",
+            "files": [
+                "https://github.com/IsItDanOrAi/ComfyUI-Stereopsis"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/IsItDanOrAi/ComfyUI-Stereopsis",
+            "title": "ComfyUI-Stereopsis"
+        },
+        {
+            "author": "nickve28",
+            "description": "Several utility nodes for use with ComfyUI.",
+            "files": [
+                "https://github.com/nickve28/ComfyUI-Nich-Utils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nickve28/ComfyUI-Nich-Utils",
+            "title": "ComfyUI Nich Utils"
+        },
+        {
+            "author": "FrankChieng",
+            "description": "implementation of [a/AniPortrait](https://github.com/Zejun-Yang/AniPortrait) generating of videos, includes self driven, face reenacment and audio driven with a reference image",
+            "files": [
+                "https://github.com/frankchieng/ComfyUI_Aniportrait"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/frankchieng/ComfyUI_Aniportrait",
+            "title": "ComfyUI_Aniportrait"
+        },
+        {
+            "author": "FrankChieng",
+            "description": "implementation of MagicClothing with garment and prompt in ComfyUI",
+            "files": [
+                "https://github.com/frankchieng/ComfyUI_MagicClothing"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/frankchieng/ComfyUI_MagicClothing",
+            "title": "ComfyUI_MagicClothing"
+        },
+        {
+            "author": "BlakeOne",
+            "description": "Create a custom scheduler from a weighted average of the built-in schedulers",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-SchedulerMixer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlakeOne/ComfyUI-SchedulerMixer",
+            "title": "ComfyUI SchedulerMixer"
+        },
+        {
+            "author": "BlakeOne",
+            "description": "Simple node for setting the sigma values directly. Note, for a full denoise the last sigma should be zero.",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-CustomScheduler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlakeOne/ComfyUI-CustomScheduler",
+            "title": "ComfyUI CustomScheduler"
+        },
+        {
+            "author": "BlakeOne",
+            "description": "An extension for ComyUI that enables saving and loading node presets using the node's context menu.\nRight click a node and choose 'Presets' from its context menu to access the node's presets.",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-NodePresets"
+            ],
+            "id": "nodepresets",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlakeOne/ComfyUI-NodePresets",
+            "title": "ComfyUI NodePresets"
+        },
+        {
+            "author": "BlakeOne",
+            "description": "An extension for ComyUI to allow resetting a node's inputs to their default values.\nNOTE:Right click any node and choose 'Reset' from the context menu.",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-NodeReset"
+            ],
+            "id": "nodereset",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlakeOne/ComfyUI-NodeReset",
+            "title": "ComfyUI NodeReset"
+        },
+        {
+            "author": "kale4eat",
+            "description": "Path utility for ComfyUI",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-path-util"
+            ],
+            "id": "demucus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kale4eat/ComfyUI-path-util",
+            "title": "ComfyUI_demucus"
+        },
+        {
+            "author": "kale4eat",
+            "description": "String utility for ComfyUI",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-string-util"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kale4eat/ComfyUI-string-util",
+            "title": "ComfyUI-string-util"
+        },
+        {
+            "author": "kale4eat",
+            "description": "Text file utility for ComfyUI",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-text-file-util"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kale4eat/ComfyUI-text-file-util",
+            "title": "ComfyUI-text-file-util"
+        },
+        {
+            "author": "kale4eat",
+            "description": "Basic audio tools using torchaudio for ComfyUI. It is assumed to assist in the speech dataset creation for ASR, TTS, etc.",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-speech-dataset-toolkit"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kale4eat/ComfyUI-speech-dataset-toolkit",
+            "title": "ComfyUI-speech-dataset-toolkit"
+        },
+        {
+            "author": "DrMWeigand",
+            "description": "A collection of nodes for detecting color in images, leveraging RGB and LAB color spaces. These nodes aim to distinguish colored images from black and white, including those with color tints.",
+            "files": [
+                "https://github.com/DrMWeigand/ComfyUI_ColorImageDetection"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DrMWeigand/ComfyUI_ColorImageDetection",
+            "title": "ComfyUI Color Detection Nodes"
+        },
+        {
+            "author": "bobmagicii",
+            "description": "Nodes:LoraWithMetadata, TypecasterImage.",
+            "files": [
+                "https://github.com/bobmagicii/comfykit-custom-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bobmagicii/comfykit-custom-nodes",
+            "title": "ComfyKit Custom Nodes"
+        },
+        {
+            "author": "TJ16th",
+            "description": "Custom Node for comfyUI for virtual lighting based on normal map.\nYou can use normal maps to add virtual lighting effects to your images.",
+            "files": [
+                "https://github.com/TJ16th/comfyUI_TJ_NormalLighting"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TJ16th/comfyUI_TJ_NormalLighting",
+            "title": "comfyUI_TJ_NormalLighting"
+        },
+        {
+            "author": "A4P7J1N7M05OT",
+            "description": "A barebones ComfyUI wrapper for [a/PixelOE](https://github.com/KohakuBlueleaf/PixelOE).\nI cannot promise any support, if there is someone who wants to make a proper node, please do.",
+            "files": [
+                "https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE",
+            "title": "ComfyUI-PixelOE"
+        },
+        {
+            "author": "A4P7J1N7M05OT",
+            "description": "Shamelessly copied the code to auto color correct the image like in gimp from this answer: [a/https://stackoverflow.com/a/56365560/4561887](https://stackoverflow.com/a/56365560/4561887)",
+            "files": [
+                "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp",
+            "title": "ComfyUI-AutoColorGimp"
+        },
+        {
+            "author": "ronniebasak",
+            "description": "Tara is a powerful node for ComfyUI that integrates Large Language Models (LLMs) to enhance and automate workflow processes. With Tara, you can create complex, intelligent workflows that refine and generate content, manage API keys, and seamlessly integrate various LLMs into your projects.",
+            "files": [
+                "https://github.com/ronniebasak/ComfyUI-Tara-LLM-Integration"
+            ],
+            "id": "tarallm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ronniebasak/ComfyUI-Tara-LLM-Integration",
+            "title": "ComfyUI-Tara-LLM-Integration"
+        },
+        {
+            "author": "Sida Liu",
+            "description": "Attach a debug node to an output to obtain more detailed information. Uncover the details of your models in ComfyUI with ease.",
+            "files": [
+                "https://github.com/liusida/ComfyUI-Debug"
+            ],
+            "id": "debug",
+            "install_type": "git-clone",
+            "reference": "https://github.com/liusida/ComfyUI-Debug",
+            "title": "ComfyUI-Debug"
+        },
+        {
+            "author": "Sida Liu",
+            "description": "A simple password to protect ComfyUI.",
+            "files": [
+                "https://github.com/liusida/ComfyUI-Login"
+            ],
+            "id": "login",
+            "install_type": "git-clone",
+            "reference": "https://github.com/liusida/ComfyUI-Login",
+            "title": "ComfyUI-Login"
+        },
+        {
+            "author": "Sida Liu",
+            "description": "Use RetinaFace to detect and automatically crop faces.",
+            "files": [
+                "https://github.com/liusida/ComfyUI-AutoCropFaces"
+            ],
+            "id": "autocropfaces",
+            "install_type": "git-clone",
+            "reference": "https://github.com/liusida/ComfyUI-AutoCropFaces",
+            "title": "ComfyUI-AutoCropFaces"
+        },
+        {
+            "author": "Sida Liu",
+            "description": "Nodes that support Stable Diffusion 3 Medium better.",
+            "files": [
+                "https://github.com/liusida/ComfyUI-SD3-nodes"
+            ],
+            "id": "sd3-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/liusida/ComfyUI-SD3-nodes",
+            "title": "ComfyUI-SD3-nodes"
+        },
+        {
+            "author": "Sida Liu",
+            "description": "Load and apply B-LoRA models, currently B-LoRA models only works with SDXL (sdxl_base_1.0).",
+            "files": [
+                "https://github.com/liusida/ComfyUI-B-LoRA"
+            ],
+            "id": "b-lora",
+            "install_type": "git-clone",
+            "reference": "https://github.com/liusida/ComfyUI-B-LoRA",
+            "title": "ComfyUI-B-LoRA"
+        },
+        {
+            "author": "jtydhr88",
+            "description": "Encrypt your comfyui workflow, and share it with key",
+            "files": [
+                "https://github.com/jtydhr88/ComfyUI-Workflow-Encrypt"
+            ],
+            "id": "workflow-encrypt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jtydhr88/ComfyUI-Workflow-Encrypt",
+            "title": "ComfyUI-Workflow-Encrypt"
+        },
+        {
+            "author": "jtydhr88",
+            "description": "ComfyUI LayerDivider is custom nodes that generating layered psd files inside ComfyUI[w/Please follow readme and run install_windows_portable_win_py311_cu121 for ComfyUI embedded python.]",
+            "files": [
+                "https://github.com/jtydhr88/ComfyUI-LayerDivider"
+            ],
+            "id": "layer-divider",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jtydhr88/ComfyUI-LayerDivider",
+            "title": "ComfyUI LayerDivider"
+        },
+        {
+            "author": "jtydhr88",
+            "description": "ComfyUI Unique3D is custom nodes that running AiuniAI/Unique3D into ComfyUI[w/Please follow readme to install with ComfyUI embedded python.]",
+            "files": [
+                "https://github.com/jtydhr88/ComfyUI-Unique3D"
+            ],
+            "id": "unique3d",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jtydhr88/ComfyUI-Unique3D",
+            "title": "ComfyUI Unique3D"
+        },
+        {
+            "author": "SeaArtLab",
+            "description": "This project implements the comfyui for long-clip, currently supporting the replacement of clip-l. For SD1.5, the SeaArtLongClip module can be used to replace the original clip in the model, expanding the token length from 77 to 248.",
+            "files": [
+                "https://github.com/SeaArtLab/ComfyUI-Long-CLIP"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SeaArtLab/ComfyUI-Long-CLIP",
+            "title": "ComfyUI-Long-CLIP"
+        },
+        {
+            "author": "tsogzark",
+            "description": "A simple node to load image from local path or http url.\nYou can find this node from 'image' category.",
+            "files": [
+                "https://github.com/tsogzark/ComfyUI-load-image-from-url"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/tsogzark/ComfyUI-load-image-from-url",
+            "title": "ComfyUI-load-image-from-url"
+        },
+        {
+            "author": "discus0434",
+            "description": "This repository simply caches the CLIP embeddings and subtly accelerates the inference process by bypassing unnecessary computations.",
+            "files": [
+                "https://github.com/discus0434/comfyui-caching-embeddings"
+            ],
+            "id": "caching-embeddings",
+            "install_type": "git-clone",
+            "reference": "https://github.com/discus0434/comfyui-caching-embeddings",
+            "title": "ComfyUI Caching Embeddings"
+        },
+        {
+            "author": "discus0434",
+            "description": "Simple ComfyUI node that predicts the score of an aesthetic image with SigLIP-based predictor.",
+            "files": [
+                "https://github.com/discus0434/comfyui-aesthetic-predictor-v2-5"
+            ],
+            "id": "aesthetic-predictor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/discus0434/comfyui-aesthetic-predictor-v2-5",
+            "title": "ComfyUI Aesthetic Predictor V2.5"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/StyleShot](https://github.com/open-mmlab/StyleShot.git)",
+            "files": [
+                "https://github.com/AIFSH/StyleShot-ComfyUI"
+            ],
+            "id": "styleshot",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/StyleShot-ComfyUI",
+            "title": "StyleShot-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for separation vocals from music based on [a/ZFTurbo/Music-Source-Separation-Training](https://github.com/ZFTurbo/Music-Source-Separation-Training)",
+            "files": [
+                "https://github.com/AIFSH/VocalSeparation-ComfyUI"
+            ],
+            "id": "vocalseparation",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/VocalSeparation-ComfyUI",
+            "title": "VocalSeparation-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/DiffMorpher](https://github.com/Kevin-thu/DiffMorpher),you can find base workflow in [a/doc](https://github.com/AIFSH/DiffMorpher-ComfyUI/blob/main/doc)",
+            "files": [
+                "https://github.com/AIFSH/DiffMorpher-ComfyUI"
+            ],
+            "id": "diffmorpher",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/DiffMorpher-ComfyUI",
+            "title": "DiffMorpher-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "the custom code for [a/UVR5](https://github.com/Anjok07/ultimatevocalremovergui) to separate vocals and background music",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-UVR5"
+            ],
+            "id": "uvr5",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-UVR5",
+            "title": "ComfyUI-UVR5"
+        },
+        {
+            "author": "AIFSH",
+            "description": "Nodes:IP_LAP Node, Video Loader, PreView Video, Combine Audio Video. the comfyui custom node of [a/IP_LAP](https://github.com/Weizhi-Zhong/IP_LAP) to make audio driven videos!",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-IP_LAP"
+            ],
+            "id": "iplap",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-IP_LAP",
+            "title": "ComfyUI-IP_LAP"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS)! you can voice cloning and tts in comfyui now\n[w/NOTE:make sure ffmpeg is worked in your commandline]",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-GPT_SoVITS"
+            ],
+            "id": "sovits",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-GPT_SoVITS",
+            "title": "ComfyUI-GPT_SoVITS"
+        },
+        {
+            "author": "AIFSH",
+            "description": "the comfyui custom node of [a/MuseTalk](https://github.com/TMElyralab/MuseTalk) to make audio driven videos!",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MuseTalk_FSH"
+            ],
+            "id": "musetalk-fsh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-MuseTalk_FSH",
+            "title": "ComfyUI-MuseTalk_FSH"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui cuatom node for audio subtitling based on [a/whisperX](https://github.com/m-bain/whisperX.git) and [a/translators](https://github.com/UlionTse/translators)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-WhisperX"
+            ],
+            "id": "whisperx",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-WhisperX",
+            "title": "ComfyUI-WhisperX"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git), you can Voice-Conversion in comfyui now!\nNOTE: make sure ffmpeg is worked in your commandline for Linux",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-RVC"
+            ],
+            "id": "aifsh-rvc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-RVC",
+            "title": "ComfyUI-RVC"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom comfyui node for [a/coqui-ai/TTS](https://github.com/coqui-ai/TTS.git)'s xtts module! support 17 languages voice cloning and tts",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-XTTS"
+            ],
+            "id": "xtts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-XTTS",
+            "title": "ComfyUI-XTTS"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui node for viewing Live2D model",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-Live2DViewer"
+            ],
+            "id": "live2dviewer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-Live2DViewer",
+            "title": "ComfyUI-Live2DViewer"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom comfyui node for [a/fish-speech](https://github.com/fishaudio/fish-speech.git)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-FishSpeech"
+            ],
+            "id": "fishspeech",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-FishSpeech",
+            "title": "ComfyUI-FishSpeech"
+        },
+        {
+            "author": "AIFSH",
+            "description": "the comfyui custom node of [a/V-Express](https://github.com/tencent-ailab/V-Express) to make audio driven videos!",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI_V-Express"
+            ],
+            "id": "v-express-aifsh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI_V-Express",
+            "title": "ComfyUI_V-Express"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/MimicBrush](https://github.com/ali-vilab/MimicBrush),then inpainting with reference image.",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MimicBrush"
+            ],
+            "id": "mimicbrush",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-MimicBrush",
+            "title": "ComfyUI-MimicBrush"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/hallo](https://github.com/fudan-generative-vision/hallo)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-Hallo"
+            ],
+            "id": "hallo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-Hallo",
+            "title": "ComfyUI-Hallo"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/UniAnimate](https://github.com/ali-vilab/UniAnimate)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-UniAnimate"
+            ],
+            "id": "unianimate",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-UniAnimate",
+            "title": "ComfyUI-UniAnimate"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/3d-photo-inpainting](https://github.com/vt-vl-lab/3d-photo-inpainting),then you can render one image to zoom-in/dolly zoom/swing motion/circle motion video",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-3d-photo-inpainting"
+            ],
+            "id": "3d-photo-inpainting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-3d-photo-inpainting",
+            "title": "ComfyUI-3d-photo-inpainting"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a node for [a/AuraSR](https://github.com/fal-ai/aura-sr)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-AuraSR"
+            ],
+            "id": "aurasr-aifsh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-AuraSR",
+            "title": "AIFSH/ComfyUI-AuraSR"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/MARS5-TTS](https://github.com/Camb-ai/MARS5-TTS)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MARS5-TTS"
+            ],
+            "id": "mars5-tts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-MARS5-TTS",
+            "title": "ComfyUI-MARS5-TTS"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/I2V-Adapter](https://github.com/KwaiVGI/I2V-Adapter)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-I2V-Adapter"
+            ],
+            "id": "i2v-adapter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-I2V-Adapter",
+            "title": "ComfyUI-I2V-Adapter"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/MimicMotion](https://github.com/Tencent/MimicMotion)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MimicMotion"
+            ],
+            "id": "mimicmotion-aifsh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-MimicMotion",
+            "title": "ComfyUI-MimicMotion"
+        },
+        {
+            "author": "AIFSH",
+            "description": "make [a/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) available in ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-DiffSynth-Studio"
+            ],
+            "id": "diffsynth-studio",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-DiffSynth-Studio",
+            "title": "ComfyUI-DiffSynth-Studio"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/CosyVoice](https://github.com/FunAudioLLM/CosyVoice)",
+            "files": [
+                "https://github.com/AIFSH/CosyVoice-ComfyUI"
+            ],
+            "id": "cosyvoice",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/CosyVoice-ComfyUI",
+            "title": "CosyVoice-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/SenseVoice](https://github.com/FunAudioLLM/SenseVoice)",
+            "files": [
+                "https://github.com/AIFSH/SenseVoice-ComfyUI"
+            ],
+            "id": "sensevoice",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/SenseVoice-ComfyUI",
+            "title": "SenseVoice-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/AniTalker](https://github.com/X-LANCE/AniTalker)",
+            "files": [
+                "https://github.com/AIFSH/AniTalker-ComfyUI"
+            ],
+            "id": "anitalker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/AniTalker-ComfyUI",
+            "title": "AniTalker-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/DH_live](https://github.com/kleinlee/DH_live)",
+            "files": [
+                "https://github.com/AIFSH/DHLive-ComfyUI"
+            ],
+            "id": "dhlive",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/DHLive-ComfyUI",
+            "title": "DHLive-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS)",
+            "files": [
+                "https://github.com/AIFSH/GSTTS-ComfyUI"
+            ],
+            "id": "gstts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/GSTTS-ComfyUI",
+            "title": "GSTTS-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/FancyVideo](https://github.com/360CVGroup/FancyVideo)",
+            "files": [
+                "https://github.com/AIFSH/FancyVideo-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/FancyVideo-ComfyUI",
+            "title": "FancyVideo-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "NODES:TextNode, PreViewVideo, VideoSysNode.",
+            "files": [
+                "https://github.com/AIFSH/VideoSys-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/VideoSys-ComfyUI",
+            "title": "VideoSys-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/HivisionIDPhotos](https://github.com/Zeyi-Lin/HivisionIDPhotos)",
+            "files": [
+                "https://github.com/AIFSH/HivisionIDPhotos-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/HivisionIDPhotos-ComfyUI",
+            "title": "HivisionIDPhotos-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)",
+            "files": [
+                "https://github.com/AIFSH/DiffSynth-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/DiffSynth-ComfyUI",
+            "title": "DiffSynth-ComfyUI"
+        },
+        {
+            "author": "Koishi-Star",
+            "description": "\u0421omfyUI version of [a/Euler Smea Dyn Sampler](https://github.com/Koishi-Star/Euler-Smea-Dyn-Sampler). It adds samplers directly to KSampler nodes.",
+            "files": [
+                "https://github.com/Koishi-Star/Euler-Smea-Dyn-Sampler"
+            ],
+            "id": "smea",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Koishi-Star/Euler-Smea-Dyn-Sampler",
+            "title": "Euler-Smea-Dyn-Sampler"
+        },
+        {
+            "author": "sdfxai",
+            "description": "SDFXBridgeForComfyUI is a custom node designed for seamless integration between ComfyUI and SDFX. This custom node allows users to make ComfyUI compatible with SDFX when running the ComfyUI instance on their local machines.",
+            "files": [
+                "https://github.com/sdfxai/SDFXBridgeForComfyUI"
+            ],
+            "id": "sdfx",
+            "install_type": "git-clone",
+            "reference": "https://github.com/sdfxai/SDFXBridgeForComfyUI",
+            "title": "SDFXBridgeForComfyUI - ComfyUI Custom Node for SDFX Integration"
+        },
+        {
+            "author": "smthemex",
+            "description": "FoleyCrafter is a video-to-audio generation framework which can produce realistic sound effects semantically relevant and synchronized with videos.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_FoleyCrafter"
+            ],
+            "id": "comfyui_foleycrafter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_FoleyCrafter",
+            "title": "ComfyUI_FoleyCrafter"
+        },
+        {
+            "author": "smthemex",
+            "description": "using diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Diffree"
+            ],
+            "id": "comfyui_diffree",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Diffree",
+            "title": "ComfyUI_Diffree"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can apply makeup to the characters in comfyui\nStable_Makeup From: [a/Stable_Makeup](https://github.com/Xiaojiu-z/Stable-Makeup)",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Stable_Makeup"
+            ],
+            "id": "Stable_Makeup",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Stable_Makeup",
+            "title": "ComfyUI_Stable_Makeup"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can make emoji from a video and a image in comfyui",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_FollowYourEmoji"
+            ],
+            "id": "FollowYourEmoji",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_FollowYourEmoji",
+            "title": "ComfyUI_FollowYourEmoji"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can using [a/EchoMimic](https://github.com/BadToBest/EchoMimic/tree/main) in comfyui,whitch Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning ",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_EchoMimic"
+            ],
+            "id": "EchoMimic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_EchoMimic",
+            "title": "ComfyUI_EchoMimic"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can call Chatglm's API in comfyUI to translate and describe pictures, and the API similar to OpenAI.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_ChatGLM_API"
+            ],
+            "id": "chatglm-api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_ChatGLM_API",
+            "title": "ComfyUI_ChatGLM_API"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can use stable-audio-open-1.0 in comfyUI",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_StableAudio_Open"
+            ],
+            "id": "stable-audio-open-1.0",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_StableAudio_Open",
+            "title": "ComfyUI_StableAudio_Open"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can use anydoor, change clothes or object...",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_AnyDoor"
+            ],
+            "id": "ComfyUI_AnyDoor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_AnyDoor",
+            "title": "ComfyUI_AnyDoor"
+        },
+        {
+            "author": "smthemex",
+            "description": "A HiDiffusion node for ComfyUI.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_HiDiffusion_Pro"
+            ],
+            "id": "hidiffusion-pro",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_HiDiffusion_Pro",
+            "title": "ComfyUI_HiDiffusion_Pro"
+        },
+        {
+            "author": "smthemex",
+            "description": "A StoryDiffusion node for ComfyUI.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_StoryDiffusion"
+            ],
+            "id": "StoryDiffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_StoryDiffusion",
+            "title": "ComfyUI_StoryDiffusion"
+        },
+        {
+            "author": "smthemex",
+            "description": "you can make story in comfyUI using MS-diffusion",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_MS_Diffusion"
+            ],
+            "id": "MS_Diffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_MS_Diffusion",
+            "title": "ComfyUI_MS_Diffusion"
+        },
+        {
+            "author": "smthemex",
+            "description": "you can using pic2story in comfyUI",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Pic2Story"
+            ],
+            "id": "pic2story",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Pic2Story",
+            "title": "ComfyUI_Pic2Story"
+        },
+        {
+            "author": "smthemex",
+            "description": "Llama3_8B for comfyUI\uff0c using pipeline workflow.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Llama3_8B"
+            ],
+            "id": "llama3-8b",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Llama3_8B",
+            "title": "ComfyUI_Llama3_8B"
+        },
+        {
+            "author": "smthemex",
+            "description": "Parler-TTS is a lightweight text-to-speech (TTS) model that can generate high-quality, natural sounding speech in the style of a given speaker (gender, pitch, speaking style, etc)",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_ParlerTTS"
+            ],
+            "id": "parlertts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_ParlerTTS",
+            "title": "ComfyUI_ParlerTTS"
+        },
+        {
+            "author": "smthemex",
+            "description": "A tool for novice users in Chinese Mainland to call the huggingface hub and download the huggingface models.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Pipeline_Tool"
+            ],
+            "id": "pipeline-tool",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Pipeline_Tool",
+            "title": "ComfyUI_Pipeline_Tool"
+        },
+        {
+            "author": "smthemex",
+            "description": "This node allows you to use ID_Animator, the zero shot video generation model",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_ID_Animator"
+            ],
+            "id": "id-animator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_ID_Animator",
+            "title": "ComfyUI_ID_Animator"
+        },
+        {
+            "author": "smthemex",
+            "description": "you can using customnet in comfyUI",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_CustomNet"
+            ],
+            "id": "customnet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_CustomNet",
+            "title": "ComfyUI_CustomNet"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can use [a/Popspaper](https://popspaper.github.io/pOps/) method in comfyUI",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Pops"
+            ],
+            "id": "pops",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Pops",
+            "title": "ComfyUI_Pops"
+        },
+        {
+            "author": "smthemex",
+            "description": "using [a/StreamV2V](https://github.com/Jeff-LiangF/streamv2v) in ComfyUI",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Streamv2v_Plus"
+            ],
+            "id": "streamv2v",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Streamv2v_Plus",
+            "title": "ComfyUI_Streamv2v_Plus"
+        },
+        {
+            "author": "smthemex",
+            "description": "MooER is an LLM-based Speech Recognition and Translation Model from Moore Threads.You can use MooER when install ComfyUI_MooER node",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_MooER"
+            ],
+            "id": "comfyui_mooer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_MooER",
+            "title": "ComfyUI_MooER"
+        },
+        {
+            "author": "smthemex",
+            "description": "using InstantX's CSGO in comfyUI for style",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_CSGO_Wrapper"
+            ],
+            "id": "comfyui_csgo_wrapper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_CSGO_Wrapper",
+            "title": "ComfyUI_CSGO_Wrapper"
+        },
+        {
+            "author": "smthemex",
+            "description": "ou can using DeepFakeDefenders in comfyUI to Prediction image is a DeepFake img or not.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_DeepFakeDefenders"
+            ],
+            "id": "comfyui_deepfakedefenders",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_DeepFakeDefenders",
+            "title": "ComfyUI_DeepFakeDefenders"
+        },
+        {
+            "author": "choey",
+            "description": "Comfy-Topaz is a custom node for ComfyUI, which integrates with Topaz Photo AI to enhance (upscale, sharpen, denoise, etc.) images, allowing this traditionally asynchronous step to become a part of ComfyUI workflows.\nNOTE:Licensed installation of Topaz Photo AI",
+            "files": [
+                "https://github.com/choey/Comfy-Topaz"
+            ],
+            "id": "topaz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/choey/Comfy-Topaz",
+            "title": "Comfy-Topaz"
+        },
+        {
+            "author": "ALatentPlace",
+            "description": "Yet Another Node Collection. Adds some useful nodes, check out the GitHub page for more details.",
+            "files": [
+                "https://github.com/ALatentPlace/ComfyUI_yanc"
+            ],
+            "id": "yanc-alatentplace",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ALatentPlace/ComfyUI_yanc",
+            "title": "ComfyUI_yanc"
+        },
+        {
+            "author": "Wicloz",
+            "description": "Simple nodes to help clean up your workflow, mostly focussed on text operations.",
+            "files": [
+                "https://github.com/Wicloz/ComfyUI-Simply-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Wicloz/ComfyUI-Simply-Nodes",
+            "title": "ComfyUI Simply Nodes"
+        },
+        {
+            "author": "wandbrandon",
+            "description": "pixel art workshop nodes for comfyui.",
+            "files": [
+                "https://github.com/wandbrandon/comfyui-pixel"
+            ],
+            "id": "pixel",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wandbrandon/comfyui-pixel",
+            "title": "comfyui-pixel"
+        },
+        {
+            "author": "nullquant",
+            "description": "These are custom nodes for ComfyUI native implementation of [a/BrushNet](https://arxiv.org/abs/2403.06976) (inpaint), PowerPaint (inpaint, object removal) and HiDiffusion (higher resolution for SD15 and SDXL)",
+            "files": [
+                "https://github.com/nullquant/ComfyUI-BrushNet"
+            ],
+            "id": "brushnet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nullquant/ComfyUI-BrushNet",
+            "title": "BrushNet"
+        },
+        {
+            "author": "pamparamm",
+            "description": "Perturbed-Attention Guidance with advanced parameters for ComfyUI. (PAG)",
+            "files": [
+                "https://github.com/pamparamm/sd-perturbed-attention"
+            ],
+            "id": "pag",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pamparamm/sd-perturbed-attention",
+            "title": "Perturbed-Attention Guidance"
+        },
+        {
+            "author": "pamparamm",
+            "description": "ComfyUI port of Vectorscope CC and Diffusion Color Grading by Haoming02. Makes it possible to adjust Brightness/Contrast/Saturation/Hue during image generation.",
+            "files": [
+                "https://github.com/pamparamm/ComfyUI-vectorscope-cc"
+            ],
+            "id": "vectorscope",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pamparamm/ComfyUI-vectorscope-cc",
+            "title": "ComfyUI Vectorscope CC"
+        },
+        {
+            "author": "pamparamm",
+            "description": "Fixed AttentionCouple/NegPip(negative weights in prompts), more CFG++ samplers, etc.",
+            "files": [
+                "https://github.com/pamparamm/ComfyUI-ppm"
+            ],
+            "id": "comfyui-ppm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pamparamm/ComfyUI-ppm",
+            "title": "ComfyUI-ppm"
+        },
+        {
+            "author": "unwdef",
+            "description": "Custom nodes for ComfyUI by unwdef.",
+            "files": [
+                "https://github.com/unwdef/unwdef-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/unwdef/unwdef-nodes-comfyui",
+            "title": "unwdef-nodes"
+        },
+        {
+            "author": "fevre27",
+            "description": "Unofficial ComfyUI implementation of Self-Guidance.",
+            "files": [
+                "https://github.com/forever22777/comfyui-self-guidance"
+            ],
+            "id": "self-guidance",
+            "install_type": "git-clone",
+            "reference": "https://github.com/forever22777/comfyui-self-guidance",
+            "title": "Self-Guidance nodes"
+        },
+        {
+            "author": "aburahamu",
+            "description": "This extension can send HTTP Requests. You can request image generation to StableDiffusion3 and post images to X (Twitter) and Discord.",
+            "files": [
+                "https://github.com/aburahamu/ComfyUI-RequestsPoster"
+            ],
+            "id": "request-poster",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aburahamu/ComfyUI-RequestsPoster",
+            "title": "ComfyUI-RequestPoster"
+        },
+        {
+            "author": "aburahamu",
+            "description": "This custom node detects body parts (currently only hands) from the received image and outputs the image if the skeleton can be estimated.",
+            "files": [
+                "https://github.com/aburahamu/ComfyUI-IsNiceParts"
+            ],
+            "id": "isniceparts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aburahamu/ComfyUI-IsNiceParts",
+            "title": "ComfyUI-IsNiceParts"
+        },
+        {
+            "author": "Sorcerio",
+            "description": "An image generation based music visualizer integrated into comfyanonymous/ComfyUI as custom nodes.",
+            "files": [
+                "https://github.com/Sorcerio/MBM-Music-Visualizer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Sorcerio/MBM-Music-Visualizer",
+            "title": "MBM's Music Visualizer"
+        },
+        {
+            "author": "quadmoon",
+            "description": "These are just some nodes I wanted and couldn't find where anyone else had made them yet.",
+            "files": [
+                "https://github.com/traugdor/ComfyUI-quadMoons-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/traugdor/ComfyUI-quadMoons-nodes",
+            "title": "quadmoon's ComfyUI nodes"
+        },
+        {
+            "author": "quadme7macoon",
+            "description": "Nodes:Shadertoy, Shader, ColorChannelOffset.",
+            "files": [
+                "https://github.com/e7mac/ComfyUI-ShadertoyGL"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/e7mac/ComfyUI-ShadertoyGL",
+            "title": "ComfyUI-ShadertoyGL"
+        },
+        {
+            "author": "royceschultz",
+            "description": "Transcribe audio and video files in ComfyUI.",
+            "files": [
+                "https://github.com/royceschultz/ComfyUI-TranscriptionTools"
+            ],
+            "id": "transcription-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/royceschultz/ComfyUI-TranscriptionTools",
+            "title": "ComfyUI-TranscriptionTools"
+        },
+        {
+            "author": "kunieone",
+            "description": "Nodes:A_Face3DSwapper, A_FaceCrop, A_FacePaste, A_OpenPosePreprocessor, A_EmptyLatentImageLongside, A_GetImageSize, AlkaidLoader, AdapterFaceLoader, AdapterStyleLoader, ...",
+            "files": [
+                "https://github.com/kunieone/ComfyUI_alkaid"
+            ],
+            "id": "alkadi",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kunieone/ComfyUI_alkaid",
+            "title": "ComfyUI_alkaid"
+        },
+        {
+            "author": "txt2any",
+            "description": "This is a custom node for ComfyUI that automatically saves your AI-generated images specifically to [a/www.txt2any.com](http://www.txt2any.com/).",
+            "files": [
+                "https://github.com/txt2any/ComfyUI-PromptOrganizer"
+            ],
+            "id": "prompt-organizer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/txt2any/ComfyUI-PromptOrganizer",
+            "title": "ComfyUI-PromptOrganizer"
+        },
+        {
+            "author": "kealiu",
+            "description": "Nodes:Load From S3, Save To S3.",
+            "files": [
+                "https://github.com/kealiu/ComfyUI-S3-Tools"
+            ],
+            "id": "savefile-to-s3",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kealiu/ComfyUI-S3-Tools",
+            "title": "ComfyUI Load and Save file to S3"
+        },
+        {
+            "author": "kealiu",
+            "description": "An unofficial ComfyUI custom node for [a/Zero-Shot Material Transfer from a Single Image](https://ttchengab.github.io/zest), Given an input image (e.g., a photo of an apple) and a single material exemplar image (e.g., a golden bowl), ZeST can transfer the gold material from the exemplar onto the apple with accurate lighting cues while making everything else consistent.",
+            "files": [
+                "https://github.com/kealiu/ComfyUI-ZeroShot-MTrans"
+            ],
+            "id": "zeroshot-mtrans",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kealiu/ComfyUI-ZeroShot-MTrans",
+            "title": "ComfyUI-ZeroShot-MTrans"
+        },
+        {
+            "author": "kealiu",
+            "description": "Zero-1-to-3: Zero-shot One Image to 3D Object, unofficial porting of original [Zero123](https://github.com/cvlab-columbia/zero123)",
+            "files": [
+                "https://github.com/kealiu/ComfyUI-Zero123-Porting"
+            ],
+            "id": "zero123-porting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kealiu/ComfyUI-Zero123-Porting",
+            "title": "ComfyUI-Zero123-Porting"
+        },
+        {
+            "author": "TashaSkyUp",
+            "description": "Nodes for interfacing with LiteLLM",
+            "files": [
+                "https://github.com/Hopping-Mad-Games/ComfyUI_LiteLLM"
+            ],
+            "id": "litellm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hopping-Mad-Games/ComfyUI_LiteLLM",
+            "title": "ComfyUI_LiteLLM"
+        },
+        {
+            "author": "AonekoSS",
+            "description": "Node: utils/Simple Counter\nThis node is a simple counter, when pressing 'Queue Prompt' resets the count.",
+            "files": [
+                "https://github.com/AonekoSS/ComfyUI-SimpleCounter"
+            ],
+            "id": "simplecounter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AonekoSS/ComfyUI-SimpleCounter",
+            "title": "ComfyUI-SimpleCounter"
+        },
+        {
+            "author": "AonekoSS",
+            "description": "Nodes: LoRA-Tuner. For using multiple LoRA easily.",
+            "files": [
+                "https://github.com/AonekoSS/ComfyUI-LoRA-Tuner"
+            ],
+            "id": "lora-tuner",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AonekoSS/ComfyUI-LoRA-Tuner",
+            "title": "ComfyUI-LoRA-Tuner"
+        },
+        {
+            "author": "heshengtao",
+            "description": "A set of block-based LLM agent node libraries designed for ComfyUI.This project aims to develop a complete set of nodes for LLM workflow construction based on comfyui. It allows users to quickly and conveniently build their own LLM workflows and easily integrate them into their existing SD workflows.",
+            "files": [
+                "https://github.com/heshengtao/comfyui_LLM_party"
+            ],
+            "id": "llm-party",
+            "install_type": "git-clone",
+            "reference": "https://github.com/heshengtao/comfyui_LLM_party",
+            "title": "comfyui_LLM_party"
+        },
+        {
+            "author": "heshengtao",
+            "description": "ComfyUI node library for fine-tuning LLMs",
+            "files": [
+                "https://github.com/heshengtao/comfyui_LLM_schools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/heshengtao/comfyui_LLM_schools",
+            "title": "comfyui_LLM_schools"
+        },
+        {
+            "author": "VAST-AI-Research",
+            "description": "Custom nodes for using [a/Tripo](https://www.tripo3d.ai/) in ComfyUI to create 3D from text and image prompts.",
+            "files": [
+                "https://github.com/VAST-AI-Research/ComfyUI-Tripo"
+            ],
+            "id": "tripo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/VAST-AI-Research/ComfyUI-Tripo",
+            "title": "Tripo for ComfyUI"
+        },
+        {
+            "author": "JettHu",
+            "description": "ComfyUI reference implementation for [a/T-GATE](https://github.com/HaozheLiu-ST/T-GATE).",
+            "files": [
+                "https://github.com/JettHu/ComfyUI_TGate"
+            ],
+            "id": "tgate",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JettHu/ComfyUI_TGate",
+            "title": "ComfyUI_TGate"
+        },
+        {
+            "author": "JettHu",
+            "description": "ComfyUI implementation for [a/TCD](https://github.com/jabir-zheng/TCD).",
+            "files": [
+                "https://github.com/JettHu/ComfyUI-TCD"
+            ],
+            "id": "jetthu-tcd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JettHu/ComfyUI-TCD",
+            "title": "ComfyUI-TCD"
+        },
+        {
+            "author": "sugarkwork",
+            "description": "This is a custom node of ComfyUI that categorizes tags outputted by tools like WD14Tagger, filters them by each category, and returns the filtered results.",
+            "files": [
+                "https://github.com/sugarkwork/comfyui_tag_fillter"
+            ],
+            "id": "tag-filter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/sugarkwork/comfyui_tag_fillter",
+            "title": "comfyui_tag_filter"
+        },
+        {
+            "author": "Intersection98",
+            "description": "A collection of post processing nodes for ComfyUI, dds image post-processing adjustment capabilities to the ComfyUI.",
+            "files": [
+                "https://github.com/Intersection98/ComfyUI_MX_post_processing-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Intersection98/ComfyUI_MX_post_processing-nodes",
+            "title": "ComfyUI-MX-post-processing-nodes"
+        },
+        {
+            "author": "TencentQQGYLab",
+            "description": "ComfyUI implementation for [a/ELLA](https://github.com/TencentQQGYLab/ELLA).",
+            "files": [
+                "https://github.com/TencentQQGYLab/ComfyUI-ELLA"
+            ],
+            "id": "ella",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TencentQQGYLab/ComfyUI-ELLA",
+            "title": "ComfyUI-ELLA"
+        },
+        {
+            "author": "DarKDinDoN",
+            "description": "This node was designed to help with checkpoint configuration. Fee free to add new checkpoint configurations!",
+            "files": [
+                "https://github.com/mech-tools/comfyui-checkpoint-automatic-config"
+            ],
+            "id": "checkpoint-autoconfig",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mech-tools/comfyui-checkpoint-automatic-config",
+            "title": "ComfyUI Checkpoint Automatic Config"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Use llama.cpp to help generate some nodes for prompt word related work",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-Prompt-MZ"
+            ],
+            "id": "prompt-mz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-Prompt-MZ",
+            "title": "ComfyUI-Prompt-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "A stylized node with simple operation. The effect is achieved by I2I and lora. The clay style is currently implemented.Comes with watermark function.",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-StylizePhoto-MZ"
+            ],
+            "id": "stylizephoto",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-StylizePhoto-MZ",
+            "title": "ComfyUI-StylizePhoto-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Nodes for fine-tuning lora in ComfyUI, dependent on training tools such as kohya-ss/sd-scripts",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-TrainTools-MZ"
+            ],
+            "id": "traintools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-TrainTools-MZ",
+            "title": "ComfyUI-TrainTools-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Implementation of Kolors on ComfyUI\nReference from [a/https://github.com/kijai/ComfyUI-KwaiKolorsWrapper](https://github.com/kijai/ComfyUI-KwaiKolorsWrapper)\nUsing ComfyUI Native Sampling",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ"
+            ],
+            "id": "kolors-mz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ",
+            "title": "ComfyUI-Kolors-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Quantization tools are from [a/https://github.com/casper-hansen/AutoAWQ](https://github.com/casper-hansen/AutoAWQ) and [a/https://github.com/IST-DASLab/marlin](https://github.com/IST-DASLab/marlin)\nOnly applicable to graphics cards with sm_80 and above (30 series and above)\nNeed to install marlin dependencies first",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-Flux1Quantize-MZ"
+            ],
+            "install_type": "git-clone",
+            "pip": [
+                "git+https://github.com/IST-DASLab/marlin"
+            ],
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-Flux1Quantize-MZ",
+            "title": "ComfyUI-Flux1Quantize-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Nodes:MZ_Flux1PartialLoad_Patch. Tool nodes related to flux1",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-FluxExt-MZ"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-FluxExt-MZ",
+            "title": "ComfyUI-FluxExt-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Nodes:MZ_CogVideoXLoader",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-CogVideoX-MZ"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-CogVideoX-MZ",
+            "title": "ComfyUI-CogVideoX-MZ"
+        },
+        {
+            "author": "blueraincoatli",
+            "description": "Using rgthree's fast_group_muter and bookmark nodes, introduce the pyautogui library to simulate clicks and hotkeys, and run groups in sequence. screen manipulation is involved",
+            "files": [
+                "https://github.com/blueraincoatli/comfyUI_SillyNodes"
+            ],
+            "id": "silly",
+            "install_type": "git-clone",
+            "reference": "https://github.com/blueraincoatli/comfyUI_SillyNodes",
+            "title": "comfyUI_SillyNodes"
+        },
+        {
+            "author": "ty0x2333",
+            "description": "Execution Time Analysis, Reroute Enhancement, Node collection for developers.",
+            "files": [
+                "https://github.com/ty0x2333/ComfyUI-Dev-Utils"
+            ],
+            "id": "dev-utils",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ty0x2333/ComfyUI-Dev-Utils",
+            "title": "ComfyUI-Dev-Utils"
+        },
+        {
+            "author": "lquesada",
+            "description": "'\ud83d\udd22 Prompt Combinator' is a node that generates all possible combinations of prompts from several lists of strings.\n'\ud83d\udd22 Prompt Combinator Merger' is a node that enables merging the output of two different '\ud83d\udd22 Prompt Combinator' nodes.",
+            "files": [
+                "https://github.com/lquesada/ComfyUI-Prompt-Combinator"
+            ],
+            "id": "prompt-combinator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lquesada/ComfyUI-Prompt-Combinator",
+            "title": "ComfyUI-Prompt-Combinator"
+        },
+        {
+            "author": "lquesada",
+            "description": "'\u2702\ufe0f Inpaint Crop' is a node that crops an image before sampling. The context area can be specified via the mask, expand pixels and expand factor or via a separate (optional) mask.\n'\u2702\ufe0f Inpaint Stitch' is a node that stitches the inpainted image back into the original image without altering unmasked areas.",
+            "files": [
+                "https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch"
+            ],
+            "id": "crop-and-stitch",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch",
+            "title": "ComfyUI-Inpaint-CropAndStitch"
+        },
+        {
+            "author": "randjtw",
+            "description": "Nodes:Advance Aesthetic Score",
+            "files": [
+                "https://github.com/randjtw/advance-aesthetic-score"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/randjtw/advance-aesthetic-score",
+            "title": "advance-aesthetic-score"
+        },
+        {
+            "author": "FredBill1",
+            "description": "Nodes:FBStringJoin, FBStringSplit, FBMultilineStringList, FBMultilineString",
+            "files": [
+                "https://github.com/FredBill1/comfyui-fb-utils"
+            ],
+            "id": "fb-utils",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FredBill1/comfyui-fb-utils",
+            "title": "comfyui-fb-utils"
+        },
+        {
+            "author": "jeffy5",
+            "description": "A facefusion custom node for ComfyUI. Swap or restore faces for image or video",
+            "files": [
+                "https://github.com/jeffy5/comfyui-faceless-node"
+            ],
+            "id": "faceless",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jeffy5/comfyui-faceless-node",
+            "title": "Faceless Node for ComfyUI"
+        },
+        {
+            "author": "TaiTair",
+            "description": "A hacky implementation of Simswap based on [a/Comfyui ReActor Node 0.5.1](https://github.com/Gourieff/comfyui-reactor-node) and [a/Simswap](https://github.com/neuralchen/SimSwap).",
+            "files": [
+                "https://github.com/TaiTair/comfyui-simswap"
+            ],
+            "id": "simswap",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TaiTair/comfyui-simswap",
+            "title": "Simswap Node for ComfyUI"
+        },
+        {
+            "author": "fofr",
+            "description": "Original author is ByteDance.\nComfyUI sampler for HyperSDXL UNet\nPorted from: [a/https://huggingface.co/ByteDance/Hyper-SD](https://huggingface.co/ByteDance/Hyper-SD)",
+            "files": [
+                "https://github.com/fofr/ComfyUI-HyperSDXL1StepUnetScheduler"
+            ],
+            "id": "hypersdxl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fofr/ComfyUI-HyperSDXL1StepUnetScheduler",
+            "title": "ComfyUI-HyperSDXL1StepUnetScheduler (ByteDance)"
+        },
+        {
+            "author": "fofr",
+            "description": "A prompt helper for ComfyUI, based on [a/prompter.fofr.ai](https://prompter.fofr.ai)",
+            "files": [
+                "https://github.com/fofr/ComfyUI-Prompter-fofrAI"
+            ],
+            "id": "prompter-fofr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fofr/ComfyUI-Prompter-fofrAI",
+            "title": "ComfyUI-Prompter-fofrAI"
+        },
+        {
+            "author": "fofr",
+            "description": "Nodes:Incrementer, Width and height from aspect ratio, Width and height for scaling image to ideal resolutio. A simple set of tooling nodes.",
+            "files": [
+                "https://github.com/fofr/comfyui-fofr-toolkit"
+            ],
+            "id": "fofr-toolkit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fofr/comfyui-fofr-toolkit",
+            "title": "comfyui-fofr-toolkit"
+        },
+        {
+            "author": "fofr",
+            "description": "Run [a/Replicate models](https://replicate.com/explore) in ComfyUI.",
+            "files": [
+                "https://github.com/fofr/comfyui-replicate"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/fofr/comfyui-replicate",
+            "title": "comfyui-replicate"
+        },
+        {
+            "author": "cfreilich",
+            "description": "Photoshop type functions and adjustment layers: 30 blend modes, Selective Color, Blend If, Color Balance, Solid Color Images, Black and White, Hue/Saturation, Levels, and RGB Splitting and Merging.",
+            "files": [
+                "https://github.com/chrisfreilich/virtuoso-nodes"
+            ],
+            "id": "virtuoso",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chrisfreilich/virtuoso-nodes",
+            "title": "Virtuoso Nodes for ComfyUI"
+        },
+        {
+            "author": "da2el-ai",
+            "description": "A handy custom node for using Refiner (switching to a different checkpoint midway) When you specify the end of the base checkpoint, you can extract refiner_start which is end + 1. The output is fixed as an INT, so it can be passed to the handy custom node, Anything Everywhere? Since it only outputs a numerical value, it can also be used for other purposes.",
+            "files": [
+                "https://github.com/da2el-ai/ComfyUI-d2-steps"
+            ],
+            "id": "d2steps",
+            "install_type": "git-clone",
+            "reference": "https://github.com/da2el-ai/ComfyUI-d2-steps",
+            "title": "D2 Steps"
+        },
+        {
+            "author": "da2el-ai",
+            "description": "This is a custom node that allows you to easily call up and set image size presets. Settings can be made by editing the included config.yaml. It is almost identical to Comfyroll Studio's CR AspectRatio. I created it because I wanted to easily edit the presets.",
+            "files": [
+                "https://github.com/da2el-ai/ComfyUI-d2-size-selector"
+            ],
+            "id": "size-selector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/da2el-ai/ComfyUI-d2-size-selector",
+            "title": "D2 Size Selector"
+        },
+        {
+            "author": "da2el-ai",
+            "description": "Send images generated by ComfyUI to Eagle image management software",
+            "files": [
+                "https://github.com/da2el-ai/ComfyUI-d2-send-eagle"
+            ],
+            "id": "d2-send-eagle",
+            "install_type": "git-clone",
+            "reference": "https://github.com/da2el-ai/ComfyUI-d2-send-eagle",
+            "title": "D2 Send Eagle"
+        },
+        {
+            "author": "nat-chan",
+            "description": "Transceiver is a python library that swiftly exchanges fundamental data structures, specifically numpy arrays, between processes, optimizing AI inference tasks that utilize ComfyUI.",
+            "files": [
+                "https://github.com/nat-chan/comfyui-transceiver"
+            ],
+            "id": "transceiver",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nat-chan/comfyui-transceiver",
+            "title": "ComfyUI-Transceiver\ud83d\udce1"
+        },
+        {
+            "author": "nat-chan",
+            "description": "workflow.json -> workflow_api.json",
+            "files": [
+                "https://github.com/nat-chan/ComfyUI-graphToPrompt"
+            ],
+            "id": "graph2prompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nat-chan/ComfyUI-graphToPrompt",
+            "title": "ComfyUI-graphToPrompt"
+        },
+        {
+            "author": "web3nomad",
+            "description": "Nodes: InvisibleWatermarkEncode",
+            "files": [
+                "https://github.com/web3nomad/ComfyUI_Invisible_Watermark"
+            ],
+            "id": "invisible-watermark",
+            "install_type": "git-clone",
+            "reference": "https://github.com/web3nomad/ComfyUI_Invisible_Watermark",
+            "title": "ComfyUI Invisible Watermark"
+        },
+        {
+            "author": "GentlemanHu",
+            "description": "An unofficial Python library for [a/Suno AI](https://www.suno.ai/) API",
+            "files": [
+                "https://github.com/GentlemanHu/ComfyUI-SunoAI"
+            ],
+            "id": "suno-api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GentlemanHu/ComfyUI-SunoAI",
+            "title": "ComfyUI Suno API"
+        },
+        {
+            "author": "TemryL",
+            "description": "ComfyUI adaptation of [a/IDM-VTON](https://github.com/yisol/IDM-VTON) for virtual try-on.",
+            "files": [
+                "https://github.com/TemryL/ComfyUI-IDM-VTON"
+            ],
+            "id": "idm-vton",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TemryL/ComfyUI-IDM-VTON",
+            "title": "ComfyUI-IDM-VTON [WIP]"
+        },
+        {
+            "author": "NStor",
+            "description": "Russian localization of ComfyUI, ComafyUI-Manager & more...",
+            "files": [
+                "https://github.com/Nestorchik/NStor-ComfyUI-Translation"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nestorchik/NStor-ComfyUI-Translation",
+            "title": "ComfyUI-RUS localization"
+        },
+        {
+            "author": "jax-explorer",
+            "description": "Nodes:FastImageListToImageBatch",
+            "files": [
+                "https://github.com/jax-explorer/fast_video_comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jax-explorer/fast_video_comfyui",
+            "title": "fast_video_comfyui"
+        },
+        {
+            "author": "sugarkwork",
+            "description": "This is a node for using cohere (Command R+) from ComfyUI. You need to edit the startup .bat file of ComfyUI and describe the API key obtained from Cohere as follows.",
+            "files": [
+                "https://github.com/sugarkwork/comfyui_cohere"
+            ],
+            "id": "cohere",
+            "install_type": "git-clone",
+            "reference": "https://github.com/sugarkwork/comfyui_cohere",
+            "title": "comfyui_cohere"
+        },
+        {
+            "author": "alessandrozonta",
+            "description": "This extension contains a custom node for ComfyUI. The node, called 'Bounding Box Crop', is designed to compute the top-left coordinates of a cropped bounding box based on input coordinates and dimensions of the final cropped image. It does so computing the center of the cropping area and then computing where the top-left coordinates would be.",
+            "files": [
+                "https://github.com/alessandrozonta/ComfyUI-CenterNode"
+            ],
+            "id": "bbox-crop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alessandrozonta/ComfyUI-CenterNode",
+            "title": "Bounding Box Crop Node for ComfyUI"
+        },
+        {
+            "author": "alessandrozonta",
+            "description": "This custom node for ComfyUI allows you to create layers of an image based on input masks and save them into a PSD file.",
+            "files": [
+                "https://github.com/alessandrozonta/ComfyUI-Layers"
+            ],
+            "id": "layers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alessandrozonta/ComfyUI-Layers",
+            "title": "Save Layers Node for ComfyUI"
+        },
+        {
+            "author": "alessandrozonta",
+            "description": "This extension contains a custom node for ComfyUI. The node, called 'Bounding Box Crop', is designed to compute the top-left coordinates of a cropped bounding box based on input coordinates and dimensions of the final cropped image. It does so computing the center of the cropping area and then computing where the top-left coordinates would be.",
+            "files": [
+                "https://github.com/alessandrozonta/ComfyUI-OpenPose"
+            ],
+            "id": "openpose-alessandrozonta",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alessandrozonta/ComfyUI-OpenPose",
+            "title": "OpenPose Node"
+        },
+        {
+            "author": "curiousjp",
+            "description": "Permutes a mask batch to present possible additive combinations. Passing a mask batch (e.g. out of [a/SEGS to Mask Batch](https://github.com/ltdrdata/ComfyUI-Impact-Pack)) will return a new mask batch representing all the possible combinations of the included masks. So, a mask batch with two mask sections, 'A' and 'B', will return a batch containing an empty mask, an empty mask & A, an empty mask & B, and an empty mask & A & B.",
+            "files": [
+                "https://github.com/curiousjp/ComfyUI-MaskBatchPermutations"
+            ],
+            "id": "maskbatch-permutations",
+            "install_type": "git-clone",
+            "reference": "https://github.com/curiousjp/ComfyUI-MaskBatchPermutations",
+            "title": "ComfyUI-MaskBatchPermutations"
+        },
+        {
+            "author": "BAIS1C",
+            "description": "A Simple Python RSS Feed Reader to create Prompts in Comfy UI",
+            "files": [
+                "https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader"
+            ],
+            "id": "rssfeed",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader",
+            "title": "ComfyUI_RSS_Feed_Reader"
+        },
+        {
+            "author": "runtime44",
+            "description": "Nodes: Runtime44Upscaler, Runtime44ColorMatch, Runtime44DynamicKSampler, Runtime44ImageOverlay, Runtime44ImageResizer, Runtime44ImageToNoise, Runtime44MaskSampler, Runtime44TiledMaskSampler, Runtime44IterativeUpscaleFactor, Runtime44ImageEnhance, Runtime44FilmGrain",
+            "files": [
+                "https://github.com/runtime44/comfyui_r44_nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/runtime44/comfyui_r44_nodes",
+            "title": "Runtime44 ComfyUI Nodes"
+        },
+        {
+            "author": "osiworx",
+            "description": "Nodes:Use Prompt Quill in Comfyui",
+            "files": [
+                "https://github.com/osi1880vr/prompt_quill_comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/osi1880vr/prompt_quill_comfyui",
+            "title": "ComfyUI_Prompt-Quill"
+        },
+        {
+            "author": "philz1337x",
+            "description": "[a/Clarity AI](https://clarityai.cc) is a creative image enhancer and is able to upscale to high resolution. [w/NOTE: This is a Magnific AI alternative for ComfyUI.] \nCreate an API key on [a/ClarityAI.cc/api](https://clarityai.cc/api) and add to environment variable 'CAI_API_KEY'\nAlternatively you can write your API key to file 'cai_platform_key.txt'\nYou can also use and/or override the above by entering your API key in the 'api_key_override' field of the node.",
+            "files": [
+                "https://github.com/philz1337x/ComfyUI-ClarityAI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/philz1337x/ComfyUI-ClarityAI",
+            "title": "\u2728 Clarity AI - Creative Image Upscaler and Enhancer for ComfyUI"
+        },
+        {
+            "author": "KoreTeknology",
+            "description": "A research Node based project on Artificial Intelligence using ComfyUI visual editor with Stable diffusion Local processing focus in mind. This custom node is intended to serve the purpose to offer a large palette of prompting scenrarios, based on Public Checkpoint Models OR/AND Private custom Models and LoRas. It includes an integrated learning machine process as well as a set of workflows.",
+            "files": [
+                "https://github.com/KoreTeknology/ComfyUI-Universal-Styler"
+            ],
+            "id": "universal-styler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/KoreTeknology/ComfyUI-Universal-Styler",
+            "title": "ComfyUI Universal Styler"
+        },
+        {
+            "author": "ZeDarkAdam",
+            "description": "EmbeddingsNameLoader, EmbendingList",
+            "files": [
+                "https://github.com/ZeDarkAdam/ComfyUI-Embeddings-Tools"
+            ],
+            "id": "embeddings-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZeDarkAdam/ComfyUI-Embeddings-Tools",
+            "title": "ComfyUI-Embeddings-Tools"
+        },
+        {
+            "author": "chenpx976",
+            "description": "add http api http://127.0.0.1:8188/comfyui-run/run use in other llm project.",
+            "files": [
+                "https://github.com/chenpx976/ComfyUI-RunRunRun"
+            ],
+            "id": "runrunrun",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chenpx976/ComfyUI-RunRunRun",
+            "title": "ComfyUI-RunRunRun"
+        },
+        {
+            "author": "githubYiheng",
+            "description": "GetFileNameFromURL is a ComfyUI custom node that extracts the filename from a URL. It can handle various URLs and is capable of handling redirects.",
+            "files": [
+                "https://github.com/githubYiheng/ComfyUI_GetFileNameFromURL"
+            ],
+            "id": "getfilename-from-url",
+            "install_type": "git-clone",
+            "reference": "https://github.com/githubYiheng/ComfyUI_GetFileNameFromURL",
+            "title": "ComfyUI_GetFileNameFromURL"
+        },
+        {
+            "author": "githubYiheng",
+            "description": "Nodes:Apply Kmeans Filter",
+            "files": [
+                "https://github.com/githubYiheng/comfyui_kmeans_filter"
+            ],
+            "id": "kmeans-filter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/githubYiheng/comfyui_kmeans_filter",
+            "title": "comfyui_kmeans_filter"
+        },
+        {
+            "author": "githubYiheng",
+            "description": "Nodes:Change Image Border",
+            "files": [
+                "https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER"
+            ],
+            "id": "change-image-border",
+            "install_type": "git-clone",
+            "reference": "https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER",
+            "title": "ComfyUI_Change_IMAGE_BOREDER"
+        },
+        {
+            "author": "githubYiheng",
+            "description": "Nodes:Apply Meanshift Filter",
+            "files": [
+                "https://github.com/githubYiheng/comfyui_meanshift_filter"
+            ],
+            "id": "meanshift-filter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/githubYiheng/comfyui_meanshift_filter",
+            "title": "comfyui_meanshift_filter"
+        },
+        {
+            "author": "githubYiheng",
+            "description": "Nodes:Private ImageCPostprocessor",
+            "files": [
+                "https://github.com/githubYiheng/comfyui_private_postprocessor"
+            ],
+            "id": "githubyiheng-private-postprocessor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/githubYiheng/comfyui_private_postprocessor",
+            "title": "comfyui_private_postprocessor"
+        },
+        {
+            "author": "Fihade",
+            "description": "Original repo: [a/https://github.com/lllyasviel/IC-Light](https://github.com/lllyasviel/IC-Light)\nModels: [a/https://huggingface.co/lllyasviel/ic-light/tree/main](https://huggingface.co/lllyasviel/ic-light/tree/main), [a/https://huggingface.co/digiplay/Photon_v1/tree/main](https://huggingface.co/digiplay/Photon_v1/tree/main)\nmodels go into ComfyUI/models/unet",
+            "files": [
+                "https://github.com/Fihade/IC-Light-ComfyUI-Node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fihade/IC-Light-ComfyUI-Node",
+            "title": "IC-Light-ComfyUI-Node"
+        },
+        {
+            "author": "KewkLW",
+            "description": "text_append_node, vramdebugplus, tensordebugplus, animation_schedule_output",
+            "files": [
+                "https://github.com/KewkLW/ComfyUI-kewky_tools"
+            ],
+            "id": "kewky-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/KewkLW/ComfyUI-kewky_tools",
+            "title": "ComfyUI-kewky_tools"
+        },
+        {
+            "author": "ITurchenko",
+            "description": "Nodes:SizeFromArray",
+            "files": [
+                "https://github.com/ITurchenko/ComfyUI-SizeFromArray"
+            ],
+            "id": "sizefromarray",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ITurchenko/ComfyUI-SizeFromArray",
+            "title": "ComfyUI-SizeFromArray"
+        },
+        {
+            "author": "Suplex",
+            "description": "Misc Nodes: ControlNet Selector Node, Load Optional ControlNet Model, Diffusers Selector, Save Image JPG No Meta, Multi Input Variable Rewrite",
+            "files": [
+                "https://github.com/saftle/suplex_comfy_nodes"
+            ],
+            "id": "suplex",
+            "install_type": "git-clone",
+            "reference": "https://github.com/saftle/suplex_comfy_nodes",
+            "title": "Suplex Misc ComfyUI Nodes"
+        },
+        {
+            "author": "mephisto83",
+            "description": "An integration between comfy ui and petty paint",
+            "files": [
+                "https://github.com/mephisto83/petty-paint-comfyui-node"
+            ],
+            "id": "petty-paint",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mephisto83/petty-paint-comfyui-node",
+            "title": "petty-paint-comfyui-node"
+        },
+        {
+            "author": "fsdymy1024",
+            "description": "Nodes:Save Image Without Metadata",
+            "files": [
+                "https://github.com/fsdymy1024/ComfyUI_fsdymy"
+            ],
+            "id": "fsdymy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fsdymy1024/ComfyUI_fsdymy",
+            "title": "ComfyUI_fsdymy"
+        },
+        {
+            "author": "ray",
+            "description": "Nodes:Image Gradient,Mask Gradient",
+            "files": [
+                "https://github.com/huagetai/ComfyUI_LightGradient"
+            ],
+            "id": "light-gradient",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huagetai/ComfyUI_LightGradient",
+            "title": "Light Gradient for ComfyUI"
+        },
+        {
+            "author": "ray",
+            "description": "Nodes:Load ICLight Model,Apply ICLight,Simple Light Source,Calculate Normal Map",
+            "files": [
+                "https://github.com/huagetai/ComfyUI-Gaffer"
+            ],
+            "id": "gaffer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huagetai/ComfyUI-Gaffer",
+            "title": "comfyui's gaffer(ComfyUI native implementation of IC-Light. )"
+        },
+        {
+            "author": "YFG",
+            "description": "Image Historgram Generator - Outputs a set of images displaying the Histogram of the input image. Nodes: img2histograms, img2histogramsSelf",
+            "files": [
+                "https://github.com/gonzalu/ComfyUI_YFG_Comical"
+            ],
+            "id": "comical",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gonzalu/ComfyUI_YFG_Comical",
+            "title": "\ud83d\ude38 YFG Comical Nodes"
+        },
+        {
+            "author": "ruiqutech",
+            "description": "Nodes of EvaluateMultiple1, EvaluateMultiple3...\nSupport the execution of any fragment of Python code, generating multiple outputs from multiple inputs.",
+            "files": [
+                "https://github.com/ruiqutech/ComfyUI-RuiquNodes"
+            ],
+            "id": "RuiquNodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ruiqutech/ComfyUI-RuiquNodes",
+            "title": "RuiquNodes for ComfyUI"
+        },
+        {
+            "author": "teward",
+            "description": "Nodes: HelperNodes_MultilineStringLiteral, HelperNodes_StringLiteral, HelperNodes_Steps, HelperNodes_CfgScale, HelperNodes_WidthHeight, HelperNodes_SchedulerSelector, HelperNodes_SamplerSelector, ...",
+            "files": [
+                "https://github.com/teward/ComfyUI-Helper-Nodes"
+            ],
+            "id": "helper-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/teward/ComfyUI-Helper-Nodes",
+            "title": "ComfyUI-Helper-Nodes"
+        },
+        {
+            "author": "fmatray",
+            "description": "Nodes for ComfyUI in order to generate battelmaps",
+            "files": [
+                "https://github.com/fmatray/ComfyUI_BattlemapGrid"
+            ],
+            "id": "battlemap-grid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fmatray/ComfyUI_BattlemapGrid",
+            "title": "ComfyUI_BattlemapGrid"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Get general description or specify questions to ask about images (medium, art style, background, etc.). Supports Chinese \ud83c\udde8\ud83c\uddf3 questions via MiniCPM model.",
+            "files": [
+                "https://github.com/christian-byrne/img2txt-comfyui-nodes"
+            ],
+            "id": "img2txt-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/img2txt-comfyui-nodes",
+            "title": "img2txt-comfyui-nodes"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Extract the most common colors from an image, up to any number. Convert colors to plain English names using various color naming systems.",
+            "files": [
+                "https://github.com/christian-byrne/img2colors-comfyui-node"
+            ],
+            "id": "img2colors-comfyui-node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/img2colors-comfyui-node",
+            "title": "Img2color - Extract Colors from Image"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Match image/mask sizes",
+            "files": [
+                "https://github.com/christian-byrne/size-match-compositing-nodes"
+            ],
+            "id": "sizematcher",
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/size-match-compositing-nodes",
+            "title": "Node - Size Matcher"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Search navigation extension.",
+            "files": [
+                "https://github.com/christian-byrne/comfyui-search-navigation"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/comfyui-search-navigation",
+            "title": "comfyui-search-navigation"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Separate audio track into stems (vocals, bass, drums, other). Along with tools to recombine, tempo match, slice/crop audio.",
+            "files": [
+                "https://github.com/christian-byrne/audio-separation-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/audio-separation-nodes-comfyui",
+            "title": "audio-separation-nodes-comfyui"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "comfyui-default-values-manager",
+            "files": [
+                "https://github.com/christian-byrne/comfyui-default-values-manager"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/comfyui-default-values-manager",
+            "title": "comfyui-default-values-manager"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Download youtube videos/playlists",
+            "files": [
+                "https://github.com/christian-byrne/youtube-dl-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/youtube-dl-comfyui",
+            "title": "youtube-dl-comfyui"
+        },
+        {
+            "author": "oztrkoguz",
+            "description": "Nodes:story_sampler_simple, text2, kosmos2_sampler.\nI created a dataset for generating short stories [a/Short-Story](https://huggingface.co/datasets/oztrkoguz/Short-Story) and used it to fine-tune my own model using Phi-3.",
+            "files": [
+                "https://github.com/oztrkoguz/ComfyUI_StoryCreator"
+            ],
+            "id": "storycreater",
+            "install_type": "git-clone",
+            "reference": "https://github.com/oztrkoguz/ComfyUI_StoryCreator",
+            "title": "ComfyUI StoryCreater"
+        },
+        {
+            "author": "GraftingRayman",
+            "description": "Image Manipulation Nodes",
+            "files": [
+                "https://github.com/GraftingRayman/ComfyUI_GraftingRayman"
+            ],
+            "id": "graftingrayman",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GraftingRayman/ComfyUI_GraftingRayman",
+            "title": "GraftingRayman"
+        },
+        {
+            "author": "royceschultz",
+            "description": "Send notifications when a workflow completes.",
+            "files": [
+                "https://github.com/royceschultz/ComfyUI-Notifications"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/royceschultz/ComfyUI-Notifications",
+            "title": "ComfyUI-Notifications"
+        },
+        {
+            "author": "katalist-ai",
+            "description": "Nodes: NudenetDetector",
+            "files": [
+                "https://github.com/katalist-ai/comfyUI-nsfw-detection"
+            ],
+            "id": "nsfw-detection",
+            "install_type": "git-clone",
+            "reference": "https://github.com/katalist-ai/comfyUI-nsfw-detection",
+            "title": "comfyUI-nsfw-detection"
+        },
+        {
+            "author": "kaanyalova",
+            "description": "Adds a custom node for saving images in webp, jpeg, avif, jxl (no metadata) and supports loading workflows from saved images",
+            "files": [
+                "https://github.com/kaanyalova/ComfyUI_ExtendedImageFormats"
+            ],
+            "id": "extended-image-format",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kaanyalova/ComfyUI_ExtendedImageFormats",
+            "title": "Extended Image Formats for ComfyUI"
+        },
+        {
+            "author": "badayvedat",
+            "description": "The ComfyUI-fal-Connector is a tool designed to provide an integration between ComfyUI and fal. This extension allows users to execute their ComfyUI workflows directly on [a/fal.ai](https://fal.ai/). This enables users to leverage the computational power and resources provided by fal.ai for running their ComfyUI workflows.",
+            "files": [
+                "https://github.com/badayvedat/ComfyUI-fal-Connector"
+            ],
+            "id": "fal",
+            "install_type": "git-clone",
+            "reference": "https://github.com/badayvedat/ComfyUI-fal-Connector",
+            "title": "ComfyUI-fal-Connector"
+        },
+        {
+            "author": "TheMistoAI",
+            "description": "A Fast, Accurate, and Detailed Line Detection Preprocessor.\nAnyline is a ControlNet line preprocessor that accurately extracts object edges, image details, and textual content from most images. Users can input any type of image to quickly obtain line drawings with clear edges, sufficient detail preservation, and high fidelity text, which are then used as input for conditional generation in Stable Diffusion.",
+            "files": [
+                "https://github.com/TheMistoAI/ComfyUI-Anyline"
+            ],
+            "id": "anyline",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TheMistoAI/ComfyUI-Anyline",
+            "title": "Anyline"
+        },
+        {
+            "author": "mbrostami",
+            "description": "Nodes:TextualInversionTrainingSDXL, TextualInversionTraining",
+            "files": [
+                "https://github.com/mbrostami/ComfyUI-TITrain"
+            ],
+            "id": "titrain",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mbrostami/ComfyUI-TITrain",
+            "title": "ComfyUI-TITrain"
+        },
+        {
+            "author": "ArcherFMY",
+            "description": "ComfyUI plugin of [a/SD-T2I-360PanoImage](https://github.com/ArcherFMY/SD-T2I-360PanoImage).\nbase t2i-pipeline for generating 512*1024 panorama image from text input",
+            "files": [
+                "https://github.com/ArcherFMY/Diffusion360_ComfyUI"
+            ],
+            "id": "diffusion360",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ArcherFMY/Diffusion360_ComfyUI",
+            "title": "Diffusion360_ComfyUI"
+        },
+        {
+            "author": "Makeezi",
+            "description": "connection nodes for api requests, fully supports promptLAB",
+            "files": [
+                "https://github.com/Makeezi/ComfyUI-promptLAB"
+            ],
+            "id": "promptlab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Makeezi/ComfyUI-promptLAB",
+            "title": "ComfyUI-promptLAB"
+        },
+        {
+            "author": "portu-sim",
+            "description": "BMAB for ComfyUI\n[w/comfyui-bmab is changed to comfyui_bmab. Remove 'custom_nodes/comyui-bmab' in your directory and then reinstall this.]",
+            "files": [
+                "https://github.com/portu-sim/comfyui_bmab"
+            ],
+            "id": "bmab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/portu-sim/comfyui_bmab",
+            "title": "comfyui_bmab"
+        },
+        {
+            "author": "griptape-ai",
+            "description": "This repo creates a series of nodes that enable you to utilize the [a/Griptape Python Framework](https://github.com/griptape-ai/griptape/) with ComfyUI, integrating AI into your workflow. This repo creates a series of nodes that enable you to utilize the Griptape Python Framework with ComfyUI, integrating AI into your workflow.",
+            "files": [
+                "https://github.com/griptape-ai/ComfyUI-Griptape"
+            ],
+            "id": "griptape",
+            "install_type": "git-clone",
+            "reference": "https://github.com/griptape-ai/ComfyUI-Griptape",
+            "title": "ComfyUI Griptape Nodes"
+        },
+        {
+            "author": "cavinHuang",
+            "description": "This is a plugin for displaying documentation for each comfyui node. ",
+            "files": [
+                "https://github.com/CavinHuang/comfyui-nodes-docs"
+            ],
+            "id": "nodedocs",
+            "install_type": "git-clone",
+            "reference": "https://github.com/CavinHuang/comfyui-nodes-docs",
+            "title": "comfyui-nodes-docs"
+        },
+        {
+            "author": "icesun963",
+            "description": "Download the model from huggingface and put it in any directory.",
+            "files": [
+                "https://github.com/icesun963/ComfyUI_HFDownLoad"
+            ],
+            "id": "HFDownLoad-ic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/icesun963/ComfyUI_HFDownLoad",
+            "title": "HFDownLoad Node for ComfyUI"
+        },
+        {
+            "author": "conquestace",
+            "description": "Upload images automatically to image hosting sites.",
+            "files": [
+                "https://github.com/conquestace/ComfyUI-ImageUploader"
+            ],
+            "id": "image-uploader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/conquestace/ComfyUI-ImageUploader",
+            "title": "Image Uploader"
+        },
+        {
+            "author": "chandlergis",
+            "description": "Nodes:ImageRequestNode",
+            "files": [
+                "https://github.com/chandlergis/ComfyUI-IMG_Query"
+            ],
+            "id": "img-query",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chandlergis/ComfyUI-IMG_Query",
+            "title": "ComfyUI-IMG_Query"
+        },
+        {
+            "author": "Isaac Emesowum",
+            "description": "This extension offers automatic drums extraction from audio files, as well as a few helper nodes to support my audio synchronization AnimateDiff workflows.",
+            "files": [
+                "https://github.com/iemesowum/ComfyUI_IsaacNodes"
+            ],
+            "id": "isaac",
+            "install_type": "git-clone",
+            "reference": "https://github.com/iemesowum/ComfyUI_IsaacNodes",
+            "title": "Isaac's Nodes"
+        },
+        {
+            "author": "fexploit",
+            "description": "ComfyUI-AutoCropBgTrim is a powerful tool designed to automatically clean up the background of your images. This tool trims unnecessary spaces and pixels, leaving only the main subject of the image. It generates both a mask and an image output, making it easy to focus on the essential elements. Perfect for enhancing your photos and preparing them for professional use.",
+            "files": [
+                "https://github.com/fexploit/ComfyUI-AutoTrimBG"
+            ],
+            "id": "autotrimbg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fexploit/ComfyUI-AutoTrimBG",
+            "title": "ComfyUI-AutoTrimBG"
+        },
+        {
+            "author": "fexploit",
+            "description": "ComfyUI-AutoLabel is a custom node for ComfyUI that uses BLIP (Bootstrapping Language-Image Pre-training) to generate detailed descriptions of the main object in an image. This node leverages the power of BLIP to provide accurate and context-aware captions for images.",
+            "files": [
+                "https://github.com/fexploit/ComfyUI-AutoLabel"
+            ],
+            "id": "autolabel",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fexploit/ComfyUI-AutoLabel",
+            "title": "ComfyUI-AutoLabel"
+        },
+        {
+            "author": "fexploit",
+            "description": "ComfyUI-Classifier is a custom node for ComfyUI that uses a zero-shot classification model to classify text inputs based on a set of candidate labels. This node leverages the power of Hugging Face Transformers to provide accurate and flexible text classification.",
+            "files": [
+                "https://github.com/fexploit/ComfyUI-Classifier"
+            ],
+            "id": "classifier",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fexploit/ComfyUI-Classifier",
+            "title": "ComfyUI-Classifier"
+        },
+        {
+            "author": "linshier",
+            "description": "Node:SendBase64ToRemote. To connect to another ComfyUI server.",
+            "files": [
+                "https://github.com/linshier/comfyui-remote-tools"
+            ],
+            "id": "remote-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/linshier/comfyui-remote-tools",
+            "title": "comfyui-remote-tools"
+        },
+        {
+            "author": "Fantaxico",
+            "description": "Node:GCP Storage Node. Support google-cloud-storage.",
+            "files": [
+                "https://github.com/Fantaxico/ComfyUI-GCP-Storage"
+            ],
+            "id": "gcp-storage",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fantaxico/ComfyUI-GCP-Storage",
+            "title": "ComfyUI-GCP-Storage"
+        },
+        {
+            "author": "daniabib",
+            "description": "ComfyUI custom node implementation of [a/ProPainter](https://github.com/sczhou/ProPainter) framework for video inpainting.",
+            "files": [
+                "https://github.com/daniabib/ComfyUI_ProPainter_Nodes"
+            ],
+            "id": "propainter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/daniabib/ComfyUI_ProPainter_Nodes",
+            "title": "ComfyUI ProPainter Nodes"
+        },
+        {
+            "author": "iFREEGROUP",
+            "description": "Node:Load Checkerboard Images for Calibrate Camera, Matrix and distortion coefficient to text, Undistort",
+            "files": [
+                "https://github.com/iFREEGROUP/comfyui-undistort"
+            ],
+            "id": "undistort",
+            "install_type": "git-clone",
+            "reference": "https://github.com/iFREEGROUP/comfyui-undistort",
+            "title": "comfyui-undistort"
+        },
+        {
+            "author": "Auttasak-L",
+            "description": "Nodes:Image cropping tool",
+            "files": [
+                "https://github.com/Auttasak-L/ComfyUI-ImageCropper"
+            ],
+            "id": "imagecropper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Auttasak-L/ComfyUI-ImageCropper",
+            "title": "ComfyUI-ImageCropper"
+        },
+        {
+            "author": "muzi12888",
+            "description": "Convert PoseKeypoint to mask, please refer to the example workflow for usage instructions.",
+            "files": [
+                "https://github.com/muzi12888/ComfyUI-PoseKeypoint-Mask"
+            ],
+            "id": "posekeypoint-mask",
+            "install_type": "git-clone",
+            "reference": "https://github.com/muzi12888/ComfyUI-PoseKeypoint-Mask",
+            "title": "PoseKeypoint Mask"
+        },
+        {
+            "author": "muzi12888",
+            "description": "Nodes for modifying a prompt to create prompt variations.\nScramblePrompts [m9]: Reorder prompts, remove prompts, modify weights\nTweakWeights [m9]: Modify the weights of prompts matching keywords",
+            "files": [
+                "https://github.com/MarcusNyne/m9-prompts-comfyui"
+            ],
+            "id": "m9-prompts-comfyui",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MarcusNyne/m9-prompts-comfyui",
+            "title": "m9-prompts-comfyui"
+        },
+        {
+            "author": "xuhongming251",
+            "description": "Nodes:FaceEnhancement. Based on modelscope pipeline.",
+            "files": [
+                "https://github.com/xuhongming251/ComfyUI-GPEN"
+            ],
+            "id": "gpen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/xuhongming251/ComfyUI-GPEN",
+            "title": "ComfyUI-GPEN"
+        },
+        {
+            "author": "xuhongming251",
+            "description": "MuseTalk ComfyUI Preprocess and Postprocess Nodes",
+            "files": [
+                "https://github.com/xuhongming251/ComfyUI-MuseTalkUtils"
+            ],
+            "id": "musetalk-utils",
+            "install_type": "git-clone",
+            "reference": "https://github.com/xuhongming251/ComfyUI-MuseTalkUtils",
+            "title": "ComfyUI-MuseTalkUtils"
+        },
+        {
+            "author": "Thomas Ward",
+            "description": "A collection of custom nodes to help with saving images, providing generation parameters, static literal nodes, and other useful nodes.",
+            "files": [
+                "https://github.com/TW-CUI/TW-CUI-Util"
+            ],
+            "id": "tw-cui-util",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TW-CUI/TW-CUI-Util",
+            "title": "TW-CUI-Util"
+        },
+        {
+            "author": "lks-ai",
+            "description": "Nodes: AnyNode. Nodes that can be anything you ask. Auto-Generate functional nodes using LLMs. Create impossible workflows. API Compatibility: (OpenAI, LocalLLMs, Gemini).",
+            "files": [
+                "https://github.com/lks-ai/anynode"
+            ],
+            "id": "anynode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lks-ai/anynode",
+            "title": "ComfyUI AnyNode: Any Node you ask for"
+        },
+        {
+            "author": "lks-ai",
+            "description": "Nodes: StableAudioSampler. Wraps the new Stable Audio Open Model in the sampler that dropped Jun 5th. See Github for Features",
+            "files": [
+                "https://github.com/lks-ai/ComfyUI-StableAudioSampler"
+            ],
+            "id": "stableaudiosampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lks-ai/ComfyUI-StableAudioSampler",
+            "title": "ComfyUI Stable Audio Open 1.0 Sampler"
+        },
+        {
+            "author": "SayanoAI",
+            "description": "ComfyUI custom nodes for RVC related inference and image generation",
+            "files": [
+                "https://github.com/SayanoAI/Comfy-RVC"
+            ],
+            "id": "sayano-rvc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SayanoAI/Comfy-RVC",
+            "title": "Comfy-RVC"
+        },
+        {
+            "author": "nirbhay-faaya",
+            "description": "Custom Image processing ComfyUI Nodes",
+            "files": [
+                "https://github.com/nirbhay-faaya/ImgProcessing_ComfyUI"
+            ],
+            "id": "imgprocessing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nirbhay-faaya/ImgProcessing_ComfyUI",
+            "title": "ImgProcessing_ComfyUI"
+        },
+        {
+            "author": "larsupb",
+            "description": "An extension for merging LoRAs. Offers a wide range of LoRA merge techniques (including dare) and XY plots. XY plots require efficiency nodes.",
+            "files": [
+                "https://github.com/larsupb/LoRA-Merger-ComfyUI"
+            ],
+            "id": "lora-powermerger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/larsupb/LoRA-Merger-ComfyUI",
+            "title": "LoRA Power-Merger ComfyUI"
+        },
+        {
+            "author": "Mason-McGough",
+            "description": "Create colorful mosaic images in ComfyUI by computing label images and applying lookup tables.",
+            "files": [
+                "https://github.com/Mason-McGough/ComfyUI-Mosaica"
+            ],
+            "id": "mosaica",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Mason-McGough/ComfyUI-Mosaica",
+            "title": "Mosaica"
+        },
+        {
+            "author": "cuongloveit",
+            "description": "Nodes:Send Http Request. You can use this node to save full size images through the websocket.",
+            "files": [
+                "https://github.com/cuongloveit/comfy_http_request"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/cuongloveit/comfy_http_request",
+            "title": "comfy_http_request"
+        },
+        {
+            "author": "Ron-Digital",
+            "description": "ComfyUI-SceneGenerator is a ComfyUI plugin used to generate scene preview photos from JSON files. This plugin creates scenes based on the provided JSON configuration and produces two different image outputs: one containing only the products and the other containing both the products and the props.",
+            "files": [
+                "https://github.com/Ron-Digital/ComfyUI-SceneGenerator"
+            ],
+            "id": "scenegenerator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ron-Digital/ComfyUI-SceneGenerator",
+            "title": "ComfyUI-SceneGenerator"
+        },
+        {
+            "author": "xliry",
+            "description": "Nodes:Send Video to Discord",
+            "files": [
+                "https://github.com/xliry/ComfyUI_SendDiscord"
+            ],
+            "id": "senddiscord",
+            "install_type": "git-clone",
+            "reference": "https://github.com/xliry/ComfyUI_SendDiscord",
+            "title": "ComfyUI_SendDiscord"
+        },
+        {
+            "author": "xliry",
+            "description": "Nodes:color2RGB",
+            "files": [
+                "https://github.com/vxinhao/color2rgb/raw/main/color2rgb.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/vxinhao/color2rgb",
+            "title": "color2rgb"
+        },
+        {
+            "author": "moyi7712",
+            "description": "It make any text2image create seamless patten",
+            "files": [
+                "https://github.com/moyi7712/ComfyUI_Seamless_Patten"
+            ],
+            "id": "seamless-pattern",
+            "install_type": "git-clone",
+            "reference": "https://github.com/moyi7712/ComfyUI_Seamless_Patten",
+            "title": "ComfyUI_Seamless_Patten"
+        },
+        {
+            "author": "nirex0",
+            "description": "All Credits go to the original Repo: [a/Hzzone/pytorch-openpose](https://github.com/Hzzone/pytorch-openpose).",
+            "files": [
+                "https://github.com/nirex0/ComfyUI_pytorch_openpose"
+            ],
+            "id": "pytorch-openpose",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nirex0/ComfyUI_pytorch_openpose",
+            "title": "ComfyUI_pytorch_openpose"
+        },
+        {
+            "author": "AshMartian",
+            "description": "A collection of ComfyUI directory automation utility nodes. Directory Get It Right adds a GUI directory browser, and smart directory loop/iteration node that supports regex and file extension filtering.",
+            "files": [
+                "https://github.com/AshMartian/ComfyUI-DirGir"
+            ],
+            "id": "dir-gir",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AshMartian/ComfyUI-DirGir",
+            "title": "Dir Gir"
+        },
+        {
+            "author": "SozeInc",
+            "description": "Nodes: Ultimate Concat (Mobile), Send Notification (Mobile), Settings Launcher (Mobile), Settings Launcher Outputs (Mobile)",
+            "files": [
+                "https://github.com/SozeInc/ComfyUI-Mobile"
+            ],
+            "id": "comfyui-mobile",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SozeInc/ComfyUI-Mobile",
+            "title": "ComfyUI-Mobile"
+        },
+        {
+            "author": "audioscavenger",
+            "description": "Load Image thumbnails for ComfyUI",
+            "files": [
+                "https://github.com/audioscavenger/ComfyUI-Thumbnails"
+            ],
+            "id": "thumbnails",
+            "install_type": "git-clone",
+            "reference": "https://github.com/audioscavenger/ComfyUI-Thumbnails",
+            "title": "ComfyUI Thumbnails"
+        },
+        {
+            "author": "goktug",
+            "description": "Save Image Plus is a custom node for ComfyUI that allows you to save images in JPEG and WEBP formats with optional metadata embedding.",
+            "files": [
+                "https://github.com/Goktug/comfyui-saveimage-plus"
+            ],
+            "id": "saveimage-plus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Goktug/comfyui-saveimage-plus",
+            "title": "Save Image Plus for ComfyUI"
+        },
+        {
+            "author": "wujm424606",
+            "description": "Custom ComfyUI Nodes for interacting with [a/Ollama](https://ollama.com/) using the [a/ollama python client](https://github.com/ollama/ollama-python).\n Meanwhile it will provide better prompt descriptor for stable diffusion.",
+            "files": [
+                "https://github.com/wujm424606/ComfyUi-Ollama-YN"
+            ],
+            "id": "ollama-YN",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wujm424606/ComfyUi-Ollama-YN",
+            "title": "ComfyUi-Ollama-YN"
+        },
+        {
+            "author": "tmagara",
+            "description": "prediction boost custom node for ComfyUI",
+            "files": [
+                "https://github.com/tmagara/ComfyUI-Prediction-Boost"
+            ],
+            "id": "prediction-boost",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tmagara/ComfyUI-Prediction-Boost",
+            "title": "ComfyUI-Prediction-Boost"
+        },
+        {
+            "author": "chesnokovivan",
+            "description": "ComfyUI: Novakid. A node.",
+            "files": [
+                "https://github.com/chesnokovivan/ComfyUI-Novakid"
+            ],
+            "id": "novakid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chesnokovivan/ComfyUI-Novakid",
+            "title": "ComfyUI-Novakid"
+        },
+        {
+            "author": "Jin Liu",
+            "description": "Edit images in the Photopea editor directly within ComfyUI.",
+            "files": [
+                "https://github.com/coolzilj/ComfyUI-Photopea"
+            ],
+            "id": "photopea",
+            "install_type": "git-clone",
+            "reference": "https://github.com/coolzilj/ComfyUI-Photopea",
+            "title": "ComfyUI-Photopea"
+        },
+        {
+            "author": "bitaffinity",
+            "description": "Unofficial support for Hugging Face's hosted inference.",
+            "files": [
+                "https://github.com/bitaffinity/ComfyUI_HF_Inference"
+            ],
+            "id": "hf-inference",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bitaffinity/ComfyUI_HF_Inference",
+            "title": "ComfyUI_HF_Inference"
+        },
+        {
+            "author": "claussteinmassl",
+            "description": "The CS Transform node is a custom node for ComfyUI that applies a series of transformations to an input image and mask. The transformations include scaling, rotation, and translation, all centered around a specified pivot point. The node ensures that the transformed image is properly accommodated within a canvas, which can be expanded if needed.",
+            "files": [
+                "https://github.com/claussteinmassl/ComfyUI-CS-CustomNodes"
+            ],
+            "id": "cs-transform",
+            "install_type": "git-clone",
+            "reference": "https://github.com/claussteinmassl/ComfyUI-CS-CustomNodes",
+            "title": "CS Transform Node for ComfyUI"
+        },
+        {
+            "author": "MariusKM",
+            "description": "Nodes:Badman_Blend, Badman_HexGenerator, Badman_String, Badman_Concat_String, Badman_Print, BadmanIO, BadmanIntUtil",
+            "files": [
+                "https://github.com/MariusKM/ComfyUI-BadmanNodes"
+            ],
+            "id": "badman",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MariusKM/ComfyUI-BadmanNodes",
+            "title": "ComfyUI-BadmanNodes"
+        },
+        {
+            "author": "TMElyralab",
+            "description": "[a/MusePose](https://github.com/TMElyralab/MusePose) is an image-to-video generation framework for virtual human under control signal such as pose.\nNOTE: You need to download weigths manually from: [a/https://huggingface.co/TMElyralab/MusePose](https://huggingface.co/TMElyralab/MusePose).[w/The repository name has changed. If you are not receiving updates, please delete the existing node and reinstall it.]",
+            "files": [
+                "https://github.com/TMElyralab/Comfyui-MusePose"
+            ],
+            "id": "musepose",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TMElyralab/Comfyui-MusePose",
+            "title": "Comfyui-MusePose"
+        },
+        {
+            "author": "PnthrLeo",
+            "description": "Nodes:Close Images Searcher",
+            "files": [
+                "https://github.com/PnthrLeo/comfyUI-image-search"
+            ],
+            "id": "image-search",
+            "install_type": "git-clone",
+            "reference": "https://github.com/PnthrLeo/comfyUI-image-search",
+            "title": "comfyUI-image-search"
+        },
+        {
+            "author": "l20richo",
+            "description": "ComfyUI-Azure-Blob-Storage seamlessly integrates with [a/Azure Blob Storage](https://azure.microsoft.com/en-us/products/storage/blobs/) in ComfyUI. This open-source project provides custom nodes for effortless loading and saving of images, videos, and checkpoint models directly from Azure blob containers within the ComfyUI graph interface.",
+            "files": [
+                "https://github.com/l20richo/ComfyUI-Azure-Blob-Storage"
+            ],
+            "id": "azure-blob-storage",
+            "install_type": "git-clone",
+            "reference": "https://github.com/l20richo/ComfyUI-Azure-Blob-Storage",
+            "title": "ComfyUI-Azure-Blob-Storage"
+        },
+        {
+            "author": "AARG-FAN",
+            "description": "a wrap-up of ComfyUI nodes for converting pixels to raster, sent out to [a/Vtracer](https://github.com/visioncortex/vtracer)!",
+            "files": [
+                "https://github.com/AARG-FAN/Image-Raster-for-ComfyUI"
+            ],
+            "id": "image-vector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AARG-FAN/Image-Raster-for-ComfyUI",
+            "title": "Image-vector-for-ComfyUI"
+        },
+        {
+            "author": "Smirnov75",
+            "description": "A set of useful nodes for convenient use of ComfyUI, including: Seed randomization before the generation process starts, with saving of the last used values and the ability to automatically interrupt the current generation; A function to pause the generation process; Slider nodes for convenient control of input parameters; An alternative version of the standard Reroute node.",
+            "files": [
+                "https://github.com/Smirnov75/ComfyUI-mxToolkit"
+            ],
+            "id": "mxtoolkit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Smirnov75/ComfyUI-mxToolkit",
+            "title": "ComfyUI-mxToolkit"
+        },
+        {
+            "author": "humgate",
+            "description": "Simple JS application based on ComfyUI which takes prompt and style picture from user and runs hardcoded workflow inference returning generated image to user.",
+            "files": [
+                "https://github.com/humgate/simplecomfy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/humgate/simplecomfy",
+            "title": "simplecomfy"
+        },
+        {
+            "author": "vanche1212",
+            "description": "Nodes:ApiRequestNode, LoadVideoNode, JsonParserNode, OllamaRequestNode, OldPhotoColorizationNode.",
+            "files": [
+                "https://github.com/vanche1212/ComfyUI-ZMG-Nodes"
+            ],
+            "id": "zmg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/vanche1212/ComfyUI-ZMG-Nodes",
+            "title": "ZMG PLUGIN"
+        },
+        {
+            "author": "hben35096",
+            "description": "Nodes:commonly_node.",
+            "files": [
+                "https://github.com/hben35096/ComfyUI-ToolBox"
+            ],
+            "id": "hben-toolbox",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hben35096/ComfyUI-ToolBox",
+            "title": "ComfyUI-ToolBox"
+        },
+        {
+            "author": "hben35096",
+            "description": "This repository contains two custom nodes for ComfyUI that utilize the [a/CLIPSeg model](https://huggingface.co/docs/transformers/main/en/model_doc/clipseg) to generate masks for image inpainting tasks based on text prompts.",
+            "files": [
+                "https://github.com/hben35096/ComfyUI-ReplenishNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/hben35096/ComfyUI-ReplenishNodes",
+            "title": "ComfyUI-ReplenishNodes"
+        },
+        {
+            "author": "tiankuan93",
+            "description": "[Original] In the field of portrait video generation, the use of single images to generate portrait videos has become increasingly prevalent. A common approach involves leveraging generative models to enhance adapters for controlled generation. However, control signals can vary in strength, including text, audio, image reference, pose, depth map, etc. Among these, weaker conditions often struggle to be effective due to interference from stronger conditions, posing a challenge in balancing these conditions. In our work on portrait video generation, we identified audio signals as particularly weak, often overshadowed by stronger signals such as pose and original image. However, direct training with weak signals often leads to difficulties in convergence. To address this, we propose V-Express, a simple method that balances different control signals through a series of progressive drop operations. Our method gradually enables effective control by weak conditions, thereby achieving generation capabilities that simultaneously take into account pose, input image, and audio.\nNOTE: You need to downdload [a/model_ckpts](https://huggingface.co/tk93/V-Express/tree/main) manually.",
+            "files": [
+                "https://github.com/tiankuan93/ComfyUI-V-Express"
+            ],
+            "id": "v-express",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tiankuan93/ComfyUI-V-Express",
+            "title": "V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation"
+        },
+        {
+            "author": "CMonk",
+            "description": "This custom nodes enables Stable Projectorz to work with ComfyUI Directly.",
+            "files": [
+                "https://github.com/tianlang0704/ComfyUI-StableProjectorzBridge"
+            ],
+            "id": "projectorz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tianlang0704/ComfyUI-StableProjectorzBridge",
+            "title": "Stable Projectorz Bridge"
+        },
+        {
+            "author": "Scorpinaus",
+            "description": "This node pack allows loading of SD checkpoints that uses diffusers format in comfyUI.",
+            "files": [
+                "https://github.com/Scorpinaus/ComfyUI-DiffusersLoader"
+            ],
+            "id": "comfyui-diffusersloader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Scorpinaus/ComfyUI-DiffusersLoader",
+            "title": "ComfyUI-DiffusersLoader"
+        },
+        {
+            "author": "chakib-belgaid",
+            "description": "This is a simple plugin for ComfyUI that allows you to import A1111 CSV styles into ComfyUI prompts.",
+            "files": [
+                "https://github.com/chakib-belgaid/Comfyui_Prompt_styler"
+            ],
+            "id": "style-plugin",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chakib-belgaid/Comfyui_Prompt_styler",
+            "title": "ComfyUI Style Plugin"
+        },
+        {
+            "author": "chakib-belgaid",
+            "description": "A ComfyUI utility plugin designed to optimize the latent space for generating high-quality results. It approximates the closest size model for better generation results.",
+            "files": [
+                "https://github.com/chakib-belgaid/ComfyUI-autosize"
+            ],
+            "id": "autosize",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chakib-belgaid/ComfyUI-autosize",
+            "title": "ComfyUI-autosize"
+        },
+        {
+            "author": "ThereforeGames",
+            "description": "A node that processes input text with the [a/Unprompted templating language](https://github.com/ThereforeGames/unprompted).",
+            "files": [
+                "https://github.com/ThereforeGames/ComfyUI-Unprompted"
+            ],
+            "id": "unprompted",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ThereforeGames/ComfyUI-Unprompted",
+            "title": "ComfyUI-Unprompted"
+        },
+        {
+            "author": "Tool Of North america",
+            "description": "A very simple and easy to use node to automaticaaly create (square) image crops and masks using YoloV8. This can be very useful when using controlnet and ip adapters",
+            "files": [
+                "https://github.com/tooldigital/ComfyUI-Yolo-Cropper"
+            ],
+            "id": "tooldigital",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tooldigital/ComfyUI-Yolo-Cropper",
+            "title": "Easy automatic (square) image cropper using Yolo"
+        },
+        {
+            "author": "luandev",
+            "description": "ComfyUI-CrewAI aims to integrate Crew AI's multi-agent collaboration framework into the ComfyUI environment. By combining the strengths of Crew AI's role-based, collaborative AI agent system with ComfyUI's intuitive interface, we will create a robust platform for managing and executing complex AI tasks seamlessly",
+            "files": [
+                "https://github.com/luandev/ComfyUI-CrewAI"
+            ],
+            "id": "crewai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/luandev/ComfyUI-CrewAI",
+            "title": "ComfyUI CrewAI"
+        },
+        {
+            "author": "chandlergis",
+            "description": "Nodes:Image Emoji Overlay",
+            "files": [
+                "https://github.com/chandlergis/ComfyUI_EmojiOverlay"
+            ],
+            "id": "emoji-overlay",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chandlergis/ComfyUI_EmojiOverlay",
+            "title": "ComfyUI_EmojiOverlay"
+        },
+        {
+            "author": "JayLyu",
+            "description": "Nodes:BK Img To Color, BK Color Selector",
+            "files": [
+                "https://github.com/JayLyu/ComfyUI_BaiKong_Node"
+            ],
+            "id": "baikong",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JayLyu/ComfyUI_BaiKong_Node",
+            "title": "ComfyUI_BaiKong_Node"
+        },
+        {
+            "author": "risunobushi",
+            "description": "A collection of simple nodes for Frequency Separation / Frequency Recombine with RGB and HSV methods",
+            "files": [
+                "https://github.com/risunobushi/comfyUI_FrequencySeparation_RGB-HSV"
+            ],
+            "id": "freq-sep",
+            "install_type": "git-clone",
+            "reference": "https://github.com/risunobushi/comfyUI_FrequencySeparation_RGB-HSV",
+            "title": "comfyUI_FrequencySeparation_RGB-HSV"
+        },
+        {
+            "author": "zohac",
+            "description": "Nodes:ZC DrawShape Node",
+            "files": [
+                "https://github.com/zohac/ComfyUI_ZC_DrawShape"
+            ],
+            "id": "drawshape",
+            "install_type": "git-clone",
+            "reference": "https://github.com/zohac/ComfyUI_ZC_DrawShape",
+            "title": "ComfyUI_ZC_DrawShape"
+        },
+        {
+            "author": "DataCTE",
+            "description": "This custom node for ComfyUI allows you to inject specific prompts at specific blocks of the Stable Diffusion UNet, providing fine-grained control over the generated image. It is based on the concept that the content/subject understanding of the model is primarily contained within the MID0 and MID1 blocks, as demonstrated in the B-Lora (Content Style implicit separation) paper. Features.\nInject different prompts into specific UNet blocks Three different node variations for flexible workflow integration Customize the learning rate of specific blocks to focus on content, lighting, style, or other aspects Potential for developing a 'Mix of Experts' approach by swapping blocks on-the-fly based on prompt content",
+            "files": [
+                "https://github.com/DataCTE/prompt_injection"
+            ],
+            "id": "prompt-injection",
+            "install_type": "git-clone",
+            "reference": "https://github.com/DataCTE/prompt_injection",
+            "title": "Prompt Injection Node for ComfyUI"
+        },
+        {
+            "author": "FrankChieng",
+            "description": "implementation easyanimate with llama3-8b-6bit instruction LLM generation prompt help",
+            "files": [
+                "https://github.com/frankchieng/ComfyUI_llm_easyanimiate"
+            ],
+            "id": "llm-easyanimate",
+            "install_type": "git-clone",
+            "nodename_pattern": "^FrankChiengEasyAnimate",
+            "reference": "https://github.com/frankchieng/ComfyUI_llm_easyanimiate",
+            "title": "ComfyUI_llm_easyanimiate"
+        },
+        {
+            "author": "nuanarchy",
+            "description": "ComfyUI implementation of [a/FlashFace: Human Image Personalization with High-fidelity Identity Preservation](https://github.com/ali-vilab/FlashFace)\nNOTE: You need to downalod models manually.",
+            "files": [
+                "https://github.com/nuanarchy/ComfyUI-NuA-FlashFace"
+            ],
+            "id": "nua-flashface",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nuanarchy/ComfyUI-NuA-FlashFace",
+            "title": "ComfyUI-NuA-FlashFace"
+        },
+        {
+            "author": "nuanarchy",
+            "description": "ComfyUI implementation of '[a/Blind Image Restoration via Fast Diffusion Inversion](https://github.com/hamadichihaoui/BIRD)' Original [a/article](https://arxiv.org/abs/2405.19572)",
+            "files": [
+                "https://github.com/nuanarchy/ComfyUI-NuA-BIRD"
+            ],
+            "id": "nua-bird",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nuanarchy/ComfyUI-NuA-BIRD",
+            "title": "ComfyUI-NuA-BIRD"
+        },
+        {
+            "author": "denfrost",
+            "description": "Custom nodes make easy Advanced Workflows. Focus on Image/Video and ControlNet efficiency and performances. Manipulation of Latent Space, Automatic pipeline with a bit efforts.",
+            "files": [
+                "https://github.com/denfrost/Den_ComfyUI_Workflow"
+            ],
+            "id": "den",
+            "install_type": "git-clone",
+            "reference": "https://github.com/denfrost/Den_ComfyUI_Workflow",
+            "title": "Den_ComfyUI_Workflows"
+        },
+        {
+            "author": "marduk191",
+            "description": "A node to set workflow settings.",
+            "files": [
+                "https://github.com/marduk191/comfyui-marnodes"
+            ],
+            "id": "marnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/marduk191/comfyui-marnodes",
+            "title": "marduk191 workflow settings"
+        },
+        {
+            "author": "marduk191",
+            "description": "This custom node for ComfyUI integrates the Flux-Prompt-Enhance model, allowing you to enhance your prompts directly within your ComfyUI workflows.",
+            "files": [
+                "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer"
+            ],
+            "id": "fluxpromptenhancer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer",
+            "title": "Flux Prompt Enhance Node for ComfyUI"
+        },
+        {
+            "author": "haohaocreates",
+            "description": "comfy ui custom node that returns an image from a batch based on selected criteria such as RGB value, brightness, etc (credits to chris goringe's custom nodes tutorial ).",
+            "files": [
+                "https://github.com/haohaocreates/ComfyUI-HH-Image-Selector"
+            ],
+            "id": "hh-image-selector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/haohaocreates/ComfyUI-HH-Image-Selector",
+            "title": "ComfyUI-HH-Image-Selector"
+        },
+        {
+            "author": "exdysa",
+            "description": "Nodes:Selector. Quick and dirty parameter generator node for ComfyUI.",
+            "files": [
+                "https://github.com/exdysa/comfyui-selector"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/exdysa/comfyui-selector",
+            "title": "comfyui-selector"
+        },
+        {
+            "author": "Jin Liu",
+            "description": "A variety of custom nodes to enhance ComfyUI for a buttery smooth experience.",
+            "files": [
+                "https://github.com/coolzilj/ComfyUI-LJNodes"
+            ],
+            "id": "ComfyUI-LJNodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/coolzilj/ComfyUI-LJNodes",
+            "title": "ComfyUI-LJNodes"
+        },
+        {
+            "author": "GavChap",
+            "description": "You'll get a new node called SD3 Latent Select Resolution, you can pick the x and y sizes from a list.",
+            "files": [
+                "https://github.com/GavChap/ComfyUI-SD3LatentSelectRes"
+            ],
+            "id": "sd3latent-select-res",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GavChap/ComfyUI-SD3LatentSelectRes",
+            "title": "ComfyUI-SD3LatentSelectRes"
+        },
+        {
+            "author": "BenNarum",
+            "description": "A set of tools for generating and altering sigmas in ComfyUI.",
+            "files": [
+                "https://github.com/BenNarum/SigmaWaveFormNode"
+            ],
+            "id": "sigmawaveform",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BenNarum/SigmaWaveFormNode",
+            "title": "SigmaWaveFormNodes"
+        },
+        {
+            "author": "shobhitic",
+            "description": "This adds a node that has both the positive and negative prompts as input in one node. You can just add one node and be done with both Positive and Negative prompts, in place of adding two different nodes for them.",
+            "files": [
+                "https://github.com/shobhitic/ComfyUI-PlusMinusTextClip"
+            ],
+            "id": "plusminustextclip",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shobhitic/ComfyUI-PlusMinusTextClip",
+            "title": "PlusMinusTextClip - Single node for Positive and Negative Prompts"
+        },
+        {
+            "author": "Late Night Labs",
+            "description": "Frame Selector & Sequence Selection Node for ComfyUI.",
+            "files": [
+                "https://github.com/latenightlabs/ComfyUI-LNL"
+            ],
+            "id": "lnlframeselector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/latenightlabs/ComfyUI-LNL",
+            "title": "LNL Frame Selector"
+        },
+        {
+            "author": "Michael Standen",
+            "description": "A prompt generator and CLIP encoder using AI provided by Ollama.",
+            "files": [
+                "https://github.com/ScreamingHawk/comfyui-ollama-prompt-encode"
+            ],
+            "id": "ollamapromptencode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ScreamingHawk/comfyui-ollama-prompt-encode",
+            "title": "Ollama Prompt Encode"
+        },
+        {
+            "author": "NvidiaGameWorksAdmin",
+            "description": "Use ComfyUI with RTX Remix to remaster classic games [a/https://github.com/NVIDIAGameWorks/rtx-remix](https://github.com/NVIDIAGameWorks/rtx-remix)",
+            "files": [
+                "https://github.com/NVIDIAGameWorks/ComfyUI-RTX-Remix"
+            ],
+            "id": "comfyui-rtx-remix",
+            "install_type": "git-clone",
+            "reference": "https://github.com/NVIDIAGameWorks/ComfyUI-RTX-Remix",
+            "title": "ComfyUI-RTX-Remix"
+        },
+        {
+            "author": "toxicwind",
+            "description": "Text Randomization and Formatting, JSON Extraction and Processing, SD3 Resolution Solver",
+            "files": [
+                "https://github.com/toxicwind/ComfyUI-TTools"
+            ],
+            "id": "ttools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/toxicwind/ComfyUI-TTools",
+            "title": "TTools for ComfyUI"
+        },
+        {
+            "author": "Yanick112",
+            "description": "This project converts raster images into SVG format using the [a/VTracer](https://github.com/visioncortex/vtracer) library. It's a handy tool for designers and developers who need to work with vector graphics programmatically.",
+            "files": [
+                "https://github.com/Yanick112/ComfyUI-ToSVG"
+            ],
+            "id": "tosvg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Yanick112/ComfyUI-ToSVG",
+            "title": "ComfyUI-ToSVG"
+        },
+        {
+            "author": "dicksondickson",
+            "description": "A set of custom nodes that I've either written myself or adapted from other authors",
+            "files": [
+                "https://github.com/dicksondickson/ComfyUI-Dickson-Nodes"
+            ],
+            "id": "dicksonnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dicksondickson/ComfyUI-Dickson-Nodes",
+            "title": "ComfyUI-Dickson-Nodes"
+        },
+        {
+            "author": "juehackr",
+            "description": "\ud83e\udd17\ud83e\udd17\ud83e\udd17Comfyui Universal Translation Plugin (no longer requires adding various nodes, directly add translation function on the existing nodes), allowing Comfyui to support Chinese input and automatic translation for any long text input box, while adding error translation function (calling Baidu Translate), achieving translation freedom!",
+            "files": [
+                "https://github.com/juehackr/comfyui_fk_server"
+            ],
+            "id": "fk-server",
+            "install_type": "git-clone",
+            "reference": "https://github.com/juehackr/comfyui_fk_server",
+            "title": "comfyui_fk_server"
+        },
+        {
+            "author": "G-370",
+            "description": "Nodes:Render SD3 Attention, SD3 Attention To Image, SD3 Image Into Attention.",
+            "files": [
+                "https://github.com/G-370/ComfyUI-SD3-Powerlab"
+            ],
+            "id": "sd3-powerlab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/G-370/ComfyUI-SD3-Powerlab",
+            "title": "ComfyUI-SD3-Powerlab"
+        },
+        {
+            "author": "TylerZoro",
+            "description": "Tools for scaling images and latents appropriate to SD3 in ComfyUI.",
+            "files": [
+                "https://github.com/TylerZoro/SD3-Scaling"
+            ],
+            "id": "sd3-scaling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TylerZoro/SD3-Scaling",
+            "title": "SD3-Scaling"
+        },
+        {
+            "author": "baicai99",
+            "description": "Used to process video redrawing, frame skipping, frame ending early, etc.",
+            "files": [
+                "https://github.com/baicai99/ComfyUI-FrameSkipping"
+            ],
+            "id": "FrameSkipping",
+            "install_type": "git-clone",
+            "reference": "https://github.com/baicai99/ComfyUI-FrameSkipping",
+            "title": "ComfyUI-FrameSkipping"
+        },
+        {
+            "author": "SuperMasterBlasterLaser",
+            "description": "Nodes:YOLO Classifier Model Loader, YOLO Classify.",
+            "files": [
+                "https://github.com/SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers"
+            ],
+            "id": "yolo-classifier",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers",
+            "title": "ComfyUI_YOLO_Classifiers"
+        },
+        {
+            "author": "SamKhoze",
+            "description": "DeepFuze is a state-of-the-art deep learning tool that seamlessly integrates with ComfyUI to revolutionize facial transformations, lipsyncing, video generation, voice cloning, face swapping, and lipsync translation. Leveraging advanced algorithms, DeepFuze enables users to combine audio and video with unparalleled realism, ensuring perfectly synchronized facial movements. This innovative solution is ideal for content creators, animators, developers, and anyone seeking to elevate their video editing projects with sophisticated AI-driven features.",
+            "files": [
+                "https://github.com/SamKhoze/ComfyUI-DeepFuze"
+            ],
+            "id": "deepfuze",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SamKhoze/ComfyUI-DeepFuze",
+            "title": "DeepFuze"
+        },
+        {
+            "author": "superyoman",
+            "description": "Unofficial Luma API-ComfyUI version.[w/WARN: This project is for learning purpose only!]",
+            "files": [
+                "https://github.com/superyoman/comfyui_lumaAPI"
+            ],
+            "id": "luma",
+            "install_type": "git-clone",
+            "reference": "https://github.com/superyoman/comfyui_lumaAPI",
+            "title": "comfyui_lumaAPI"
+        },
+        {
+            "author": "chris-the-wiz",
+            "description": "Edit embeddings with a curve. Actually should work on any 1D input tensor. Tested with IPAdapter-Plus.",
+            "files": [
+                "https://github.com/chris-the-wiz/EmbeddingsCurveEditor_ComfyUI"
+            ],
+            "id": "embeddings-curve-editor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chris-the-wiz/EmbeddingsCurveEditor_ComfyUI",
+            "title": "EmbeddingsCurveEditor_ComfyUI"
+        },
+        {
+            "author": "zhulu111",
+            "description": "sdBxb, a tool that converts ComfyUI workflows into WeChat Mini Program, Douyin Mini Program, and H5 with one click, and supports payments.",
+            "files": [
+                "https://github.com/zhulu111/ComfyUI_Bxb"
+            ],
+            "id": "ComfyUI_Bxb",
+            "install_type": "git-clone",
+            "reference": "https://github.com/zhulu111/ComfyUI_Bxb",
+            "title": "ComfyUI_Bxb"
+        },
+        {
+            "author": "lordgasmic",
+            "description": "This is an attempt to recreate the wildcards plugin for Automatic1111 but for ComfyUI.",
+            "files": [
+                "https://github.com/lordgasmic/comfyui_wildcards"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lordgasmic/comfyui_wildcards",
+            "title": "comfyui_wildcards"
+        },
+        {
+            "author": "lordgasmic",
+            "description": "Nodes:Save Image with Options",
+            "files": [
+                "https://github.com/lordgasmic/comfyui_save_image_with_options"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lordgasmic/comfyui_save_image_with_options",
+            "title": "comfyui_save_image_with_options"
+        },
+        {
+            "author": "opvelll",
+            "description": "This is a custom node for Comfy UI. It mainly wraps itertools.product and can be used to create patterns by combining prompts. It is recommended to install this custom node in combination with the nodes from the WAS Node Suite.",
+            "files": [
+                "https://github.com/opvelll/ComfyUI_TextListProduct"
+            ],
+            "id": "listproduct",
+            "install_type": "git-clone",
+            "reference": "https://github.com/opvelll/ComfyUI_TextListProduct",
+            "title": "Comfy UI Text List Product"
+        },
+        {
+            "author": "jakechai",
+            "description": "A ComfyUI workflow customization by Jake.",
+            "files": [
+                "https://github.com/jakechai/ComfyUI-JakeUpgrade"
+            ],
+            "id": "jkupgrade",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jakechai/ComfyUI-JakeUpgrade",
+            "title": "ComfyUI-JakeUpgrade"
+        },
+        {
+            "author": "celsojr2013",
+            "description": "Nodes:Simple Google Translator, Simple Resolution Solver.\nThis is a small set of simple nodes that help your workflow on ComfyUI.",
+            "files": [
+                "https://github.com/celsojr2013/comfyui_simpletools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/celsojr2013/comfyui_simpletools",
+            "title": "ComfyUI SimpleTools Suit"
+        },
+        {
+            "author": "celsojr2013",
+            "description": "Nodes:Jamworks_Login, Jamworks_Download, Shell_Command.\nA Simple Client for Jamworks Platform DAM Integration",
+            "files": [
+                "https://github.com/celsojr2013/comfyui_jamworks_client"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/celsojr2013/comfyui_jamworks_client",
+            "title": "comfyui_jamworks_client"
+        },
+        {
+            "author": "fablestudio",
+            "description": "Comfyui Custom Nodes for Showrunner",
+            "files": [
+                "https://github.com/fablestudio/ComfyUI-Showrunner-Utils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/fablestudio/ComfyUI-Showrunner-Utils",
+            "title": "ComfyUI-Showrunner-Utils"
+        },
+        {
+            "author": "MilitantHitchhiker",
+            "description": "Militant Hitchhiker's Switchblade Pack is a collection of custom nodes for ComfyUI that provide various multi-function capabilities.",
+            "files": [
+                "https://github.com/MilitantHitchhiker/MilitantHitchhiker-SwitchbladePack"
+            ],
+            "id": "hitchhiker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MilitantHitchhiker/MilitantHitchhiker-SwitchbladePack",
+            "title": "MilitantHitchhiker-SwitchbladePack"
+        },
+        {
+            "author": "slyt",
+            "description": "ComfyUI custom nodes for working with [a/Ollama](https://github.com/ollama/ollama).\nNOTE:Assumes that an Ollama server is running at http://127.0.0.1:11434 and accessible by the ComfyUI backend.",
+            "files": [
+                "https://github.com/slyt/comfyui-ollama-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/slyt/comfyui-ollama-nodes",
+            "title": "comfyui-ollama-nodes"
+        },
+        {
+            "author": "zwng",
+            "description": "Simple nodes for loading image files.Nodes that include a simple remote connection to Photoshop, a node that can overlay and preview an image with a mask, and a node that can load images directly from a file path.",
+            "files": [
+                "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes"
+            ],
+            "id": "zwng",
+            "install_type": "git-clone",
+            "reference": "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes",
+            "title": "ComfyUI_Zwng_Nodes"
+        },
+        {
+            "author": "RedRayz",
+            "description": "Converts booru tags to a format suitable for Waifu Diffusion(or Danbooru based models).",
+            "files": [
+                "https://github.com/RedRayz/ComfyUI-Danbooru-To-WD"
+            ],
+            "id": "danbooru2wd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/RedRayz/ComfyUI-Danbooru-To-WD",
+            "title": "ComfyUI-Danbooru-To-WD"
+        },
+        {
+            "author": "Shibiko-AI",
+            "description": "This is a collection of tools that I use to make my life easier when developing ComfyUI applications. It is a collection of tools that I have created to help me with my development process. I have decided to share these tools with the community in the hopes that they will be useful to others as well. I use this tools to further develop features for [a/https://shibiko.ai](https://shibiko.ai)",
+            "files": [
+                "https://github.com/Shibiko-AI/ShibikoAI-ComfyUI-Tools"
+            ],
+            "id": "shibiko-ai-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Shibiko-AI/ShibikoAI-ComfyUI-Tools",
+            "title": "Shibiko AI ComfyUI Tools"
+        },
+        {
+            "author": "SaltAI",
+            "description": "SaltAI AudioViz contains ComfyUI nodes for generating complex audio reactive visualizations",
+            "files": [
+                "https://github.com/get-salt-AI/SaltAI_AudioViz"
+            ],
+            "id": "saltai-audioviz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/get-salt-AI/SaltAI_AudioViz",
+            "title": "SaltAI_AudioViz"
+        },
+        {
+            "author": "SherryXieYuchen",
+            "description": "Nodes:VAE Encode Inpaint, VAE Decode Inpaint, ColorCorrection Inpaint, ImagePreprocess Inpaint, ImagePostprocess Inpaint, Load Model Inpaint, Inpainting (using Model)",
+            "files": [
+                "https://github.com/SherryXieYuchen/ComfyUI-Image-Inpainting"
+            ],
+            "id": "image-inpainting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SherryXieYuchen/ComfyUI-Image-Inpainting",
+            "title": "ComfyUI-Image-Inpainting"
+        },
+        {
+            "author": "zeroxoxo",
+            "description": "ComfyUI node for fast neural style transfer. This is a simple conversion based on this: [a/https://github.com/rrmina/fast-neural-style-pytorch](https://github.com/rrmina/fast-neural-style-pytorch) Only basic inference functionality is ported for now.",
+            "files": [
+                "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer"
+            ],
+            "id": "fast-style-transfer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer",
+            "title": "ComfyUI-Fast-Style-Transfer"
+        },
+        {
+            "author": "iwanders",
+            "description": "Nodes:IW SaveString, IW PrintString, IW ReplaceString, IW StringNode, IW StringConcat, IW TokenizerVocab, IW JsonPickItem.",
+            "files": [
+                "https://github.com/iwanders/ComfyUI_nodes"
+            ],
+            "id": "iwanders-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/iwanders/ComfyUI_nodes",
+            "title": "iwanders/ComfyUI_nodes"
+        },
+        {
+            "author": "rhdunn",
+            "description": "A collection of nodes for rerouting multiple I/O lines together in a bus.",
+            "files": [
+                "https://github.com/rhdunn/comfyui-bus-plugin"
+            ],
+            "id": "bus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/rhdunn/comfyui-bus-plugin",
+            "title": "comfyui-bus-plugin"
+        },
+        {
+            "author": "rhdunn",
+            "description": "This plugin is compatible with the ComfyUI audio nodes.",
+            "files": [
+                "https://github.com/rhdunn/comfyui-audio-processing"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/rhdunn/comfyui-audio-processing",
+            "title": "comfyui-audio-processing"
+        },
+        {
+            "author": "hyunamy",
+            "description": "A feature that sends an email via Gmail once image generation is completed in Comfy-ui.",
+            "files": [
+                "https://github.com/hyunamy/comfy-ui-on-complete-email-me"
+            ],
+            "id": "hyunamy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hyunamy/comfy-ui-on-complete-email-me",
+            "title": "Comfy-UI on-complete-email-me"
+        },
+        {
+            "author": "veighnsche",
+            "description": "Nodes:Image Dimension Resizer, Image Sizer, Random Ratio, Show Text, Random Title Character, Random Wildcard Tag Picker, Random Show Atm Loc Outfit, Contains Word, Elements Concatenator, ...",
+            "files": [
+                "https://github.com/veighnsche/comfyui_gr85"
+            ],
+            "id": "gr85",
+            "install_type": "git-clone",
+            "reference": "https://github.com/veighnsche/comfyui_gr85",
+            "title": "comfyui_gr85"
+        },
+        {
+            "author": "leiweiqiang",
+            "description": "Nodes:TCL EbSynth, TCL Extract Frames (From File), TCL Extract Frames (From Video), TCL Combine Frames, TCL Save Video (From Frames)",
+            "files": [
+                "https://github.com/leiweiqiang/ComfyUI-TRA"
+            ],
+            "id": "tra",
+            "install_type": "git-clone",
+            "reference": "https://github.com/leiweiqiang/ComfyUI-TRA",
+            "title": "ComfyUI-TRA"
+        },
+        {
+            "author": "hwhaocool",
+            "description": "a comfyui custom node, which can select value from inputs",
+            "files": [
+                "https://github.com/hwhaocool/ComfyUI-Select-Any"
+            ],
+            "id": "select-any",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hwhaocool/ComfyUI-Select-Any",
+            "title": "ComfyUI-Select-Any"
+        },
+        {
+            "author": "GreenLandisaLie",
+            "description": "ComfyUI implementation of [a/Aura-SR](https://github.com/fal-ai/aura-sr)",
+            "files": [
+                "https://github.com/GreenLandisaLie/AuraSR-ComfyUI"
+            ],
+            "id": "aurasr-greenlandisalie",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GreenLandisaLie/AuraSR-ComfyUI",
+            "title": "AuraSR-ComfyUI"
+        },
+        {
+            "author": "licyk",
+            "description": "This extension is a node that directly expands the functionality of KSampler, rather than being in the form of a custom node. [w/Workflows created using this feature are not compatible with other users.]",
+            "files": [
+                "https://github.com/licyk/ComfyUI-Restart-Sampler"
+            ],
+            "id": "restart-sampler-licyk",
+            "install_type": "git-clone",
+            "reference": "https://github.com/licyk/ComfyUI-Restart-Sampler",
+            "title": "ComfyUI-Restart-Sampler"
+        },
+        {
+            "author": "my-opencode",
+            "description": "[a/ImageMagick](https://imagemagick.org/index.php) nodes for ComfyUI. Adds nodes to call ImageMagick subprocesses from ComfyUI.\nRequirements: [a/ImagMagick7](https://imagemagick.org/script/download.php), 'magick' command in your CLI environment.",
+            "files": [
+                "https://github.com/my-opencode/ComfyUI_IndustrialMagick"
+            ],
+            "id": "industrialmagick",
+            "install_type": "git-clone",
+            "reference": "https://github.com/my-opencode/ComfyUI_IndustrialMagick",
+            "title": "ComfyUI_IndustrialMagick"
+        },
+        {
+            "author": "my-opencode",
+            "description": "A custom node that returns the generation time of the KSampler. Intended for benchmarking or debugging.",
+            "files": [
+                "https://github.com/my-opencode/ComfyUI_KSamplerTimer"
+            ],
+            "id": "ksamplertimer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/my-opencode/ComfyUI_KSamplerTimer",
+            "title": "ComfyUI_KSamplerTimer"
+        },
+        {
+            "author": "SEkINVR",
+            "description": "This custom node for ComfyUI allows you to save images in multiple formats, including PNG, JPG, WebP, and ICO.\n[w/ComfyUI-Save-Multi-Format is renamed to SaveAs. Remove previous one and reinstall to this.]",
+            "files": [
+                "https://github.com/SEkINVR/ComfyUI-SaveAs"
+            ],
+            "id": "saveas",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SEkINVR/ComfyUI-SaveAs",
+            "title": "ComfyUI SaveAS"
+        },
+        {
+            "author": "MrSamSeen",
+            "description": "Side by Side 3D Stereoscope generation node for ComfyUI by SamSeen.",
+            "files": [
+                "https://github.com/MrSamSeen/ComfyUI_SSStereoscope"
+            ],
+            "id": "ssstereoscope",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MrSamSeen/ComfyUI_SSStereoscope",
+            "title": "ComfyUI_SSStereoscope"
+        },
+        {
+            "author": "jroc22",
+            "description": "This is a simple node for creating prompts using a .csv file. I created this node as an easy way to output different prompts each time a workflow is run.",
+            "files": [
+                "https://github.com/jroc22/ComfyUI-CSV-prompt-builder"
+            ],
+            "id": "csv-prompt-builder",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jroc22/ComfyUI-CSV-prompt-builder",
+            "title": "ComfyUI-CSV-prompt-builder"
+        },
+        {
+            "author": "DeJoker",
+            "description": "provide extra api to run prompt request with parallel execution of independent node",
+            "files": [
+                "https://github.com/DeJoker/pipeline-parallel-comfy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DeJoker/pipeline-parallel-comfy",
+            "title": "Pipeline Parallel ComfyUI"
+        },
+        {
+            "author": "yiwangsimple",
+            "description": "Content generation with open source models in comfyui via graq api implementation.\n[w/This repo is renamed from ComfyUI_GroqChat to ComfyUI_DW_CHAT. Please remove previous one and reinstall to this.]",
+            "files": [
+                "https://github.com/yiwangsimple/ComfyUI_DW_Chat"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/yiwangsimple/ComfyUI_DW_Chat",
+            "title": "ComfyUI_DW_Chat"
+        },
+        {
+            "author": "Tritant",
+            "description": "Generate random prompts easily.",
+            "files": [
+                "https://github.com/tritant/ComfyUI_CreaPrompt"
+            ],
+            "id": "creaprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tritant/ComfyUI_CreaPrompt",
+            "title": "ComfyUI-CreaPrompt"
+        },
+        {
+            "author": "metncelik",
+            "description": "Nodes: Primitive BBOX, BBOX Padding, BBOX Resize, ImageResize KeepRatio.",
+            "files": [
+                "https://github.com/metncelik/comfyui_met_suite"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/metncelik/comfyui_met_suite",
+            "title": "comfyui_met_suite"
+        },
+        {
+            "author": "Smuzzies",
+            "description": "Meme Maker Node for ComfyUI.",
+            "files": [
+                "https://github.com/Smuzzies/comfyui_meme_maker"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Smuzzies/comfyui_meme_maker",
+            "title": "comfyui_meme_maker"
+        },
+        {
+            "author": "bluevisor",
+            "description": "This repository contains a simple custom node for ComfyUI that implements familiar PS-style blend modes using PyTorch. The PSBlendNode allows you to blend two images together using a variety of blend modes and an opacity parameter.",
+            "files": [
+                "https://github.com/bluevisor/ComfyUI_PS_Blend_Node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bluevisor/ComfyUI_PS_Blend_Node",
+            "title": "ComfyUI_PS_Blend_Node"
+        },
+        {
+            "author": "wTechArtist",
+            "description": "Nodes:Image Blending Mode Mask, Load Image With Bool, IPAdapter Mad Scientist Weight_Type, IPAdapter FaceID With Bool",
+            "files": [
+                "https://github.com/wTechArtist/ComfyUI-CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wTechArtist/ComfyUI-CustomNodes",
+            "title": "ComfyUI-CustomNodes"
+        },
+        {
+            "author": "mullakhmetov",
+            "description": "ComfyS3 helpful util nodes for dynamic workflows",
+            "files": [
+                "https://github.com/mullakhmetov/comfyui_dynamic_util_nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/mullakhmetov/comfyui_dynamic_util_nodes",
+            "title": "comfyui_dynamic_util_nodes"
+        },
+        {
+            "author": "HECer",
+            "description": "The ComfyUI-FilePathCreator is a custom node extension for ComfyUI designed to generate dynamic filenames based on user-defined parameters. This node helps streamline the process of creating organized and timestamped filenames, ideal for saving output files in a structured manner.",
+            "files": [
+                "https://github.com/HECer/ComfyUI-FilePathCreator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/HECer/ComfyUI-FilePathCreator",
+            "title": "ComfyUI-FilePathCreator"
+        },
+        {
+            "author": "adigayung",
+            "description": "Auto translate all languages \u200b\u200bto english",
+            "files": [
+                "https://github.com/adigayung/ComfyUI-Translator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/adigayung/ComfyUI-Translator",
+            "title": "ComfyUI-Translator"
+        },
+        {
+            "author": "ZZXYWQ",
+            "description": "Nodes: StreamRecorder, VideoFormatConverter, ZZX_PaintsUndo",
+            "files": [
+                "https://github.com/ZZXYWQ/ComfyUI-ZZXYWQ"
+            ],
+            "id": "ZZXYWQ",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZZXYWQ/ComfyUI-ZZXYWQ",
+            "title": "ZZX Nodes"
+        },
+        {
+            "author": "SiliconFlow",
+            "description": "[a/BizyAir](https://github.com/siliconflow/BizyAir) Comfy Nodes that can run in any environment.",
+            "files": [
+                "https://github.com/siliconflow/BizyAir"
+            ],
+            "id": "bizyair",
+            "install_type": "git-clone",
+            "reference": "https://github.com/siliconflow/BizyAir",
+            "title": "\u2601\ufe0fBizyAir Nodes"
+        },
+        {
+            "author": "BenNarum",
+            "description": "This extension provides nodes that allow experimentation with various elements (samplers, latent, activators, attenuator, scheulders, ...) of Stable Diffusion.",
+            "files": [
+                "https://github.com/BenNarum/ComfyUI_CAS"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/BenNarum/ComfyUI_CAS",
+            "title": "ComfyUI_CAS"
+        },
+        {
+            "author": "Indra's Mirror",
+            "description": "ComfyUI-Documents is a powerful extension for ComfyUI that enhances workflows with advanced document processing capabilities. It includes nodes for loading and parsing various document types (PDF, TXT, DOC, DOCX), converting PDF pages to images, splitting PDFs into individual pages, and selecting specific images from batches. Features include text extraction, image conversion, and seamless integration with existing ComfyUI projects.",
+            "files": [
+                "https://github.com/Excidos/ComfyUI-Documents"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Excidos/ComfyUI-Documents",
+            "title": "ComfyUI-Documents"
+        },
+        {
+            "author": "Indra's Mirror",
+            "description": "ComfyUI-Lumina-Next-SFT-DiffusersWrapper is a custom node for ComfyUI that integrates the advanced Lumina-Next-SFT model. It offers high-quality image generation with features like time-aware scaling, optional ODE sampling, and support for high-resolution outputs. This node brings the power of the Lumina text-to-image pipeline directly into ComfyUI workflows, allowing for flexible and powerful image generation capabilities.",
+            "files": [
+                "https://github.com/Excidos/ComfyUI-Lumina-Next-SFT-DiffusersWrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Excidos/ComfyUI-Lumina-Next-SFT-DiffusersWrapper",
+            "title": "ComfyUI-Lumina-Next-SFT-DiffusersWrapper"
+        },
+        {
+            "author": "Expo",
+            "description": "A custom node for ComfyUI that integrates LM Studio's vision models to generate text descriptions of images. It provides a flexible and customizable way to add image-to-text capabilities to your ComfyUI workflows, working with LM Studio's local API.",
+            "files": [
+                "https://github.com/mattjohnpowell/comfyui-lmstudio-image-to-text-node"
+            ],
+            "id": "comfyui-lmstudio-image-to-text-node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mattjohnpowell/comfyui-lmstudio-image-to-text-node",
+            "title": "LM Studio Image to Text Node for ComfyUI"
+        },
+        {
+            "author": "injet-zhou",
+            "description": "Add more endpoints to make easy for utilizing ComfyUI API.",
+            "files": [
+                "https://github.com/injet-zhou/comfyui_extra_api"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/injet-zhou/comfyui_extra_api",
+            "title": "comfyui_extra_api"
+        },
+        {
+            "author": "leestuartx",
+            "description": "ComfyUI-GG is a collection of ComfyUI nodes designed to enhance productivity in image processing workflows. This plugin provides a set of custom nodes that perform various image manipulations and metadata extractions to streamline your tasks.",
+            "files": [
+                "https://github.com/leestuartx/ComfyUI-GG"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leestuartx/ComfyUI-GG",
+            "title": "ComfyUI-GG"
+        },
+        {
+            "author": "mgfxer",
+            "description": "A set of custom nodes for frame interpolation and video processing in ComfyUI.",
+            "files": [
+                "https://github.com/mgfxer/ComfyUI-FrameFX"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/mgfxer/ComfyUI-FrameFX",
+            "title": "ComfyUI-FrameFX"
+        },
+        {
+            "author": "Cyberschorsch",
+            "description": "Provides a custom node to load config for sampler nodes from a yaml file.",
+            "files": [
+                "https://github.com/Cyberschorsch/ComfyUI-checkpoint-config-loader"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Cyberschorsch/ComfyUI-checkpoint-config-loader",
+            "title": "ComfyUI Checkpoint Loader Config"
+        },
+        {
+            "author": "fearnworks",
+            "description": "This extension provides various nodes to support multimodal workflows.",
+            "files": [
+                "https://github.com/fearnworks/ComfyUI_FearnworksNodes"
+            ],
+            "id": "fearnworks",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fearnworks/ComfyUI_FearnworksNodes",
+            "title": "Fearnworks Nodes"
+        },
+        {
+            "author": "3D-MeshTool",
+            "description": "A simple 3D model processing tool within ComfyUI.",
+            "files": [
+                "https://github.com/807502278/ComfyUI-3D-MeshTool"
+            ],
+            "id": "3D-MeshTool",
+            "install_type": "git-clone",
+            "reference": "https://github.com/807502278/ComfyUI-3D-MeshTool",
+            "title": "ComfyUI-3D-MeshTool"
+        },
+        {
+            "author": "JackEllie",
+            "description": "ComfyUI native implementation of [a/AI-Assistant](https://github.com/tori29umai0123/AI-Assistant).",
+            "files": [
+                "https://github.com/JackEllie/ComfyUI_AI_Assistant"
+            ],
+            "id": "AI-Assistant",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JackEllie/ComfyUI_AI_Assistant",
+            "title": "ComfyUI-AI-Assistant"
+        },
+        {
+            "author": "APZmedia",
+            "description": "A custom node to sanitize text to make clean file names from strings.",
+            "files": [
+                "https://github.com/APZmedia/ComfyUI-APZmedia-cleanName-from-string"
+            ],
+            "id": "clean-filename",
+            "install_type": "git-clone",
+            "reference": "https://github.com/APZmedia/ComfyUI-APZmedia-cleanName-from-string",
+            "title": "APZmedia Clean Name"
+        },
+        {
+            "author": "N3rd00d",
+            "description": "Paint3D Nodes is a custom ComfyUI node for 3D model texture inpainting based on [a/Paint3D](https://arxiv.org/pdf/2312.13913).",
+            "files": [
+                "https://github.com/N3rd00d/ComfyUI-Paint3D-Nodes"
+            ],
+            "id": "paint3d",
+            "install_type": "git-clone",
+            "reference": "https://github.com/N3rd00d/ComfyUI-Paint3D-Nodes",
+            "title": "ComfyUI-Paint3D-Nodes"
+        },
+        {
+            "author": "sn0w12",
+            "description": "A collection of nodes and improvements created for general ease and lora management. These are just nodes I made and found useful, they should work with most other nodes. Most nodes that take in a prompt are made with booru tags in mind and might not work as expected with other prompts.",
+            "files": [
+                "https://github.com/sn0w12/ComfyUI-Sn0w-Scripts"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/sn0w12/ComfyUI-Sn0w-Scripts",
+            "title": "ComfyUI-Sn0w-Scripts"
+        },
+        {
+            "author": "MiaoshouAI",
+            "description": "Nodes to use Florence2 VLM for image tagging and captioning",
+            "files": [
+                "https://github.com/miaoshouai/ComfyUI-Miaoshouai-Tagger"
+            ],
+            "id": "miaoshouai-tagger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/miaoshouai/ComfyUI-Miaoshouai-Tagger",
+            "title": "ComfyUI-Miaoshouai-Tagger"
+        },
+        {
+            "author": "Patricio Gonzalez Vivo",
+            "description": "A collections of nodes to support GLSL shaders inside a workflow.",
+            "files": [
+                "https://github.com/patriciogonzalezvivo/comfyui_glslnodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/patriciogonzalezvivo/comfyui_glslnodes",
+            "title": "GLSL Nodes"
+        },
+        {
+            "author": "2kpr",
+            "description": "Implementation of UltraPixel on ComfyUI",
+            "files": [
+                "https://github.com/2kpr/ComfyUI-UltraPixel"
+            ],
+            "id": "comfyui-ultrapixel",
+            "install_type": "git-clone",
+            "reference": "https://github.com/2kpr/ComfyUI-UltraPixel",
+            "title": "ComfyUI-UltraPixel"
+        },
+        {
+            "author": "LightSketch-ai",
+            "description": "Two simple to install nodes to get Live Portrait working in ComfyUI without the need for a fancy GPU (Replicate account needed).",
+            "files": [
+                "https://github.com/LightSketch-ai/ComfyUI-LivePortraitNode"
+            ],
+            "id": "lightsketchlp",
+            "install_type": "git-clone",
+            "reference": "https://github.com/LightSketch-ai/ComfyUI-LivePortraitNode",
+            "title": "ComfyUI-LivePortraitNode (Replicate API)"
+        },
+        {
+            "author": "aaronchm",
+            "description": "Improved DanTagGen implementation that posesses all functionality of the A1111 webui extension.",
+            "files": [
+                "https://github.com/Aaron-CHM/ComfyUI-z-a1111-sd-webui-DanTagGen"
+            ],
+            "id": "z-a1111-sd-webui-DanTagGen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Aaron-CHM/ComfyUI-z-a1111-sd-webui-DanTagGen",
+            "title": "z-a1111-sd-webui-DanTagGen"
+        },
+        {
+            "author": "mikebilly",
+            "description": "Removes background using Transparent Background",
+            "files": [
+                "https://github.com/mikebilly/Transparent-background-comfyUI"
+            ],
+            "id": "transparent-background-comfyui",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mikebilly/Transparent-background-comfyUI",
+            "title": "Transparent-background-comfyUI"
+        },
+        {
+            "author": "un-seen",
+            "description": "Nodes to perform tensor operations in ComfyUI",
+            "files": [
+                "https://github.com/un-seen/comfyui-tensorops"
+            ],
+            "id": "comfyui-tensorop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/un-seen/comfyui-tensorops",
+            "title": "comfyui-tensorop"
+        },
+        {
+            "author": "un-seen",
+            "description": "This project is a ComfyUI version of [a/sd-webui-segment-anything](https://github.com/continue-revolution/sd-webui-segment-anything). At present, only the most core functionalities have been implemented. I would like to express my gratitude to [a/continue-revolution](https://github.com/continue-revolution) for their preceding work on which this is based.",
+            "files": [
+                "https://github.com/un-seen/comfyui_segment_anything_plus"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/un-seen/comfyui_segment_anything_plus",
+            "title": "ComfyUI Segment Anything"
+        },
+        {
+            "author": "john-mnz",
+            "description": "ComfyUI node for background removal, implementing [a/InSPyReNet](https://github.com/plemeri/InSPyReNet)",
+            "files": [
+                "https://github.com/john-mnz/ComfyUI-Inspyrenet-Rembg"
+            ],
+            "id": "inspyrenet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/john-mnz/ComfyUI-Inspyrenet-Rembg",
+            "title": "ComfyUI-Inspyrenet-Rembg"
+        },
+        {
+            "author": "Koushakur",
+            "description": "The latent gets passed straight through unaltered, if it's empty (i.e from a 'Empty Latent Image' node) FLOAT outputs the first value, otherwise it outputs the second value",
+            "files": [
+                "https://github.com/Koushakur/ComfyUI-DenoiseChooser"
+            ],
+            "id": "denoise-chooser",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Koushakur/ComfyUI-DenoiseChooser",
+            "title": "ComfyUI-DenoiseChooser"
+        },
+        {
+            "author": "ycchanau",
+            "description": "Custom nodes that preview image with a magnifier.",
+            "files": [
+                "https://github.com/ycchanau/ComfyUI_Preview_Magnifier"
+            ],
+            "id": "magnifier",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ycchanau/ComfyUI_Preview_Magnifier",
+            "title": "ComfyUI Preview Magnifier"
+        },
+        {
+            "author": "lrzjason",
+            "description": "Nodes: Save Weight As Kolors Unet, Save Kolors",
+            "files": [
+                "https://github.com/lrzjason/Comfyui-Kolors-Utils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lrzjason/Comfyui-Kolors-Utils",
+            "title": "Comfyui Kolors Utils"
+        },
+        {
+            "author": "lrzjason",
+            "description": "Nodes:SDXLMixSampler, LatentByRatio",
+            "files": [
+                "https://github.com/lrzjason/ComfyUIJasonNode/raw/main/SDXLMixSampler.py",
+                "https://github.com/lrzjason/ComfyUIJasonNode/raw/main/LatentByRatio.py",
+                ""
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/lrzjason/ComfyUIJasonNode",
+            "title": "ComfyUIJasonNode"
+        },
+        {
+            "author": "amorano",
+            "description": "Post images and video to Discord. Nodes to facilitate communication using REST.",
+            "files": [
+                "https://github.com/cozy-comfyui/cozy_comm"
+            ],
+            "id": "cozy_comm",
+            "install_type": "git-clone",
+            "nodename_pattern": " \\(cozy\\)",
+            "reference": "https://github.com/cozy-comfyui/cozy_comm",
+            "title": "Cozy Communication"
+        },
+        {
+            "author": "ShmuelRonen",
+            "description": "A custom node for ComfyUI that enables smooth, keyframe-based animations for image generation. Create dynamic sequences with control over motion, zoom, rotation, and easing effects. Ideal for AI-assisted animation and video content creation.",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI-AstralAnimator"
+            ],
+            "id": "astralanimator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI-AstralAnimator",
+            "title": "ComfyUI-AstralAnimator"
+        },
+        {
+            "author": "RhizoNymph",
+            "description": "Nodes to use [a/latte](https://github.com/Vchitect/Latte) for text to video generation",
+            "files": [
+                "https://github.com/RhizoNymph/ComfyUI-Latte"
+            ],
+            "id": "latte",
+            "install_type": "git-clone",
+            "reference": "https://github.com/RhizoNymph/ComfyUI-Latte",
+            "title": "ComfyUI-Latte"
+        },
+        {
+            "author": "RhizoNymph",
+            "description": "A node to replicate [a/https://huggingface.co/spaces/latentexplorers/latentnavigation-flux](A node to replicate https://huggingface.co/spaces/latentexplorers/latentnavigation-flux)",
+            "files": [
+                "https://github.com/RhizoNymph/ComfyUI-Latte"
+            ],
+            "id": "clipslider",
+            "install_type": "git-clone",
+            "reference": "https://github.com/RhizoNymph/ComfyUI-Latte",
+            "title": "ComfyUI-CLIPSlider"
+        },
+        {
+            "author": "Marksusu",
+            "description": "MTCLIPEncode: An extension for ComfyUI's CLIPTextEncode node, offering multilingual translation (using MarianMT) and prompt enhancement (using Ollama). Seamlessly translate your native language prompts into English and further optimize them for generating your desired images with Stable Diffusion. Supports Krita AI Diffusion.",
+            "files": [
+                "https://github.com/Marksusu/ComfyUI_MTCLIPEncode"
+            ],
+            "id": "mtclipencode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Marksusu/ComfyUI_MTCLIPEncode",
+            "title": "ComfyUI_MTCLIPEncode"
+        },
+        {
+            "author": "fssorc",
+            "description": "Match two faces' shape before using other face swap nodes\nFace-swapping tools typically only replace facial features during the swap, without altering the facial shape. When there is a significant difference in facial shape between the target person and the person in the original photo, the result of the face swap is less satisfactory.\nThis project is a small script that can first liquefy and stretch the face in the original photo according to the horizontal and vertical proportions of the target person's facial contour. The resulting image can be used as input for other face-swapping nodes.",
+            "files": [
+                "https://github.com/fssorc/ComfyUI_FaceShaper"
+            ],
+            "id": "facesharper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fssorc/ComfyUI_FaceShaper",
+            "title": "ComfyUI_FaceShaper"
+        },
+        {
+            "author": "BetaDoggo",
+            "description": "Just a simple node to filter out NSFW outputs. This node utilizes [a/AdamCodd/vit-base-nsfw-detector](https://huggingface.co/AdamCodd/vit-base-nsfw-detector) to score the outputs. I chose this model because it's small, fast, and performed very well in my testing. Nudity tends to be scored in the 0.95+ range, but I've set the default to 0.8 as a safe baseline.",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-YetAnotherSafetyChecker"
+            ],
+            "id": "yetanothersafetychecker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-YetAnotherSafetyChecker",
+            "title": "ComfyUI YetAnotherSafetyChecker"
+        },
+        {
+            "author": "BetaDoggo",
+            "description": "100% of code taken from [a/https://gist.github.com/neggles/ecb6327251a9e274428d07636c727eb9](https://gist.github.com/neggles/ecb6327251a9e274428d07636c727eb9).",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-WDV-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-WDV-Nodes",
+            "title": "neggles/ComfyUI-WDV-Nodes [gist-wrapper]"
+        },
+        {
+            "author": "BetaDoggo",
+            "description": "A silly POC Video Player for ComfyUI",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-VideoPlayer"
+            ],
+            "id": "videoplayer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-VideoPlayer",
+            "title": "ComfyUI Video Player"
+        },
+        {
+            "author": "BetaDoggo",
+            "description": "A revolutionary technique for increasing output variety.",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding",
+            "title": "Gatcha Embeddings"
+        },
+        {
+            "author": "WX-NPS1598",
+            "description": "A very useful automatic cropping tool! It can realize cropping, expansion and rotation functions in the form of a slider. ",
+            "files": [
+                "https://github.com/WX-NPS1598/ComfyUI-Auto_Crop_By_NPS"
+            ],
+            "id": "autocrop-nps",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WX-NPS1598/ComfyUI-Auto_Crop_By_NPS",
+            "title": "Auto Crop By NPS"
+        },
+        {
+            "author": "googincheng",
+            "description": "Better user experience plugin for ComfyUI.",
+            "files": [
+                "https://github.com/googincheng/ComfyUX"
+            ],
+            "id": "comfyux",
+            "install_type": "git-clone",
+            "reference": "https://github.com/googincheng/ComfyUX",
+            "title": "ComfyUX"
+        },
+        {
+            "author": "wootwootwootwoot",
+            "description": "Batched Runge-Kutta Samplers for ComfyUI",
+            "files": [
+                "https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler"
+            ],
+            "id": "rk_sampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler",
+            "title": "ComfyUI-RK-Sampler"
+        },
+        {
+            "author": "TechnoByteJS",
+            "description": "ComfyUI nodes for merging, testing and more.\nNOTE: SDNext Merge, VAE Merge, MBW Layers, Repeat VAE, Quantization.",
+            "files": [
+                "https://github.com/TechnoByteJS/ComfyUI-TechNodes"
+            ],
+            "id": "technodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TechnoByteJS/ComfyUI-TechNodes",
+            "title": "TechNodes"
+        },
+        {
+            "author": "Fantasy AI Studio",
+            "description": "Various custom nodes for ComfyUI",
+            "files": [
+                "https://github.com/alanhuang67/ComfyUI-FAI-Node"
+            ],
+            "id": "FAI-Node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alanhuang67/ComfyUI-FAI-Node",
+            "title": "FAI-Node"
+        },
+        {
+            "author": "MuziekMagie",
+            "description": "A [a/Matchering](https://github.com/sergree/matchering)-node for ComfyUI.\nNOTE: You take TWO audio files and feed them into Matchering",
+            "files": [
+                "https://github.com/MuziekMagie/ComfyUI-Matchering"
+            ],
+            "id": "matchering",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MuziekMagie/ComfyUI-Matchering",
+            "title": "ComfyUI-Matchering"
+        },
+        {
+            "author": "filliptm",
+            "description": "Train Image Loras on both sd1.5 and SDXL. This repo git clones the pieces needed to train. It pops open a second terminal window do do the training. It will also display the inference samples in the node itself so you can track the results.",
+            "files": [
+                "https://github.com/filliptm/ComfyUI_FL-Trainer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/filliptm/ComfyUI_FL-Trainer",
+            "title": "ComfyUI_FL-Trainer"
+        },
+        {
+            "author": "Mintbeer96",
+            "description": "An OCR node for detect text in image and returns covering mask.",
+            "files": [
+                "https://github.com/Mintbeer96/ComfyUI-KerasOCR"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Mintbeer96/ComfyUI-KerasOCR",
+            "title": "ComfyUI-KerasOCR"
+        },
+        {
+            "author": "pikenrover",
+            "description": "Nodes:RandomPrompt, RandomPromptMixed, ImageScaleTo, EmptyLatentImageScaleBy, LoraLoaderExtended, Save Image w/Metadata, CheckpointLoaderSimpleExtended",
+            "files": [
+                "https://github.com/pikenrover/ComfyUI_PRNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/pikenrover/ComfyUI_PRNodes",
+            "title": "ComfyUI_PRNodes"
+        },
+        {
+            "author": "EnragedAntelope",
+            "description": "This custom node for ComfyUI allows you to use the Doubutsu small VLM model to describe images. Credit and further information on Doubutsu: [a/https://huggingface.co/qresearch/doubutsu-2b-pt-756](https://huggingface.co/qresearch/doubutsu-2b-pt-756)",
+            "files": [
+                "https://github.com/EnragedAntelope/ComfyUI-Doubutsu-Describer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/EnragedAntelope/ComfyUI-Doubutsu-Describer",
+            "title": "ComfyUI-Doubutsu-Describer"
+        },
+        {
+            "author": "jn-jairo",
+            "description": "ComfyUI extension with patches and nodes.\nPatches:Preview device, Extension device, Temperature, Memory estimation, Optimizations, Easy generic inputs, Easy multiple inputs.\nNODES: Image nodes, Image/Area nodes, Image/Blip nodes, Image/Face nodes, Sampling nodes, Patch nodes, Primitive nodes, Primitive/Conversion nodes, Primitive/Process nodes, Workflow nodes, etc...",
+            "files": [
+                "https://github.com/jn-jairo/jn_comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jn-jairo/jn_comfyui",
+            "title": "JNComfy"
+        },
+        {
+            "author": "akierson",
+            "description": "Basic Color Nodes for ComfyUI",
+            "files": [
+                "https://github.com/akierson/comfyui-colornodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/akierson/comfyui-colornodes",
+            "title": "comfyui-colornodes"
+        },
+        {
+            "author": "akierson",
+            "description": "Misc Text Nodes for Comfy UI",
+            "files": [
+                "https://github.com/akierson/ComfyUI-textnodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/akierson/ComfyUI-textnodes",
+            "title": "ComfyUI-textnodes"
+        },
+        {
+            "author": "ai-shizuka",
+            "description": "Nodes:ImageLoader, ImageSaver, ImagesSaver, ImageResize, ImageSize.",
+            "files": [
+                "https://github.com/ai-shizuka/ComfyUI-tbox"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ai-shizuka/ComfyUI-tbox",
+            "title": "ComfyUI-tbox"
+        },
+        {
+            "author": "neverbiasu",
+            "description": "A ComfyUI extension for generating captions for your images. Runs on your own system, no external services used, no filter.\nUses various VLMs with APIs to generate captions for images. You can give instructions or ask questions in natural language.",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-Image-Captioner"
+            ],
+            "id": "image-captioner",
+            "install_type": "git-clone",
+            "reference": "https://github.com/neverbiasu/ComfyUI-Image-Captioner",
+            "title": "ComfyUI-Image-Captioner"
+        },
+        {
+            "author": "neverbiasu",
+            "description": "This project adapts the SAM2 to incorporate functionalities from [a/comfyui_segment_anything](https://github.com/storyicon/comfyui_segment_anything). Many thanks to continue-revolution for their foundational work.",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-SAM2"
+            ],
+            "id": "sam2",
+            "install_type": "git-clone",
+            "reference": "https://github.com/neverbiasu/ComfyUI-SAM2",
+            "title": "ComfyUI SAM2(Segment Anything 2)"
+        },
+        {
+            "author": "DriftJohnson",
+            "description": "AspectSize and other nodes",
+            "files": [
+                "https://github.com/MushroomFleet/DJZ-Nodes"
+            ],
+            "id": "DJZ-Nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MushroomFleet/DJZ-Nodes",
+            "title": "DJZ-Nodes"
+        },
+        {
+            "author": "var1ableX",
+            "description": "Get Mask Dimensions",
+            "files": [
+                "https://github.com/var1ableX/ComfyUI_Accessories"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/var1ableX/ComfyUI_Accessories",
+            "title": "ComfyUI_Accessories"
+        },
+        {
+            "author": "Makki_Shizu",
+            "description": "a simple reimgsize node(s) in comfyui.",
+            "files": [
+                "https://github.com/MakkiShizu/comfyui_reimgsize"
+            ],
+            "id": "reimgsize",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MakkiShizu/comfyui_reimgsize",
+            "title": "comfyui_reimgsize"
+        },
+        {
+            "author": "JosefKuchar",
+            "description": "Advanced tiling of various shapes for ComfyUI",
+            "files": [
+                "https://github.com/JosefKuchar/ComfyUI-AdvancedTiling"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/JosefKuchar/ComfyUI-AdvancedTiling",
+            "title": "ComfyUI-AdvancedTiling"
+        },
+        {
+            "author": "Fuou Marinas",
+            "description": "Run EbSynth, Fast Example-based Image Synthesis and Style Transfer, in ComfyUI.",
+            "files": [
+                "https://github.com/FuouM/ComfyUI-EbSynth"
+            ],
+            "id": "comfyEbsynth",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FuouM/ComfyUI-EbSynth",
+            "title": "ComfyUI-EbSynth"
+        },
+        {
+            "author": "Parameshvadivel",
+            "description": "Nodes:Preview SVG",
+            "files": [
+                "https://github.com/Parameshvadivel/ComfyUI-SVGview"
+            ],
+            "id": "svgview",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Parameshvadivel/ComfyUI-SVGview",
+            "title": "ComfyUI-SVGview"
+        },
+        {
+            "author": "Visionatrix",
+            "description": "The ComfyUI-Visionatrix nodes are designed for convenient ComfyUI to [a/Visionatrix](https://github.com/Visionatrix/Visionatrix) workflow support migration, in particular to extract prompt input params (input, textarea, checkbox, select, range, file) to be used in simplified Visionatrix UI.",
+            "files": [
+                "https://github.com/Visionatrix/ComfyUI-Visionatrix"
+            ],
+            "id": "visionatrix",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Visionatrix/ComfyUI-Visionatrix",
+            "title": "ComfyUI-Visionatrix"
+        },
+        {
+            "author": "liangt",
+            "description": "Extend LoadImage node with subfolder support",
+            "files": [
+                "https://github.com/liangt/comfyui-loadimagewithsubfolder"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/liangt/comfyui-loadimagewithsubfolder",
+            "title": "comfyui-loadimagewithsubfolder"
+        },
+        {
+            "author": "vault-developer",
+            "description": "ComfyuiImageBlender is a custom node for ComfyUI. It may be used to blend two images together using a specified blending mode.",
+            "files": [
+                "https://github.com/vault-developer/comfyui-image-blender"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/vault-developer/comfyui-image-blender",
+            "title": "ImageBlender"
+        },
+        {
+            "author": "gisu",
+            "description": "Collection of nodes for the automation of workflows",
+            "files": [
+                "https://github.com/gisu/comfyui-foxpack"
+            ],
+            "id": "foxp",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gisu/comfyui-foxpack",
+            "title": "foxpack"
+        },
+        {
+            "author": "webfiltered",
+            "description": "This node provides a simple way to view the output of many nodes, without leaving ComfyUI.",
+            "files": [
+                "https://github.com/webfiltered/DebugNode-ComfyUI"
+            ],
+            "id": "debugnode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/webfiltered/DebugNode-ComfyUI",
+            "title": "WTF? - a debug node for ComfyUI"
+        },
+        {
+            "author": "pzc163",
+            "description": "Comfyui-CatVTON This repository is the modified official Comfyui node of CatVTON, which is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).\nThe original GitHub project is [a/https://github.com/Zheng-Chong/CatVTON](https://github.com/Zheng-Chong/CatVTON)",
+            "files": [
+                "https://github.com/pzc163/Comfyui-CatVTON"
+            ],
+            "id": "comfyui-catvton",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pzc163/Comfyui-CatVTON",
+            "title": "Comfyui-CatVTON"
+        },
+        {
+            "author": "pzc163",
+            "description": "This is an implementation of [MiniCPMv2_6-prompt-generator](https://huggingface.co/pzc163/MiniCPMv2_6-prompt-generator) by [ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for single-image caption, generate prompt by upload image and batch-images Prompt generation.",
+            "files": [
+                "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator"
+            ],
+            "id": "Comfyui_MiniCPMv2_6-prompt-generator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator",
+            "title": "Comfyui_MiniCPMv2_6-prompt-generator"
+        },
+        {
+            "author": "aisabervisionlab",
+            "description": "This is a simple node for connecting images. For pictures of the same size, users can choose to fill in vertical in the parameter to connect the pictures vertically or fill in horizontal to connect the pictures horizontally.",
+            "files": [
+                "https://github.com/aisabervisionlab/ComfyUI_merge_ASVL"
+            ],
+            "id": "merge-asvl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aisabervisionlab/ComfyUI_merge_ASVL",
+            "title": "ComfyUI_merge_ASVL"
+        },
+        {
+            "author": "akatz-ai",
+            "description": "Simple custom node pack for nodes I use in my workflows. Includes Dilate Mask Linear for animating masks.",
+            "files": [
+                "https://github.com/akatz-ai/ComfyUI-AKatz-Nodes"
+            ],
+            "id": "akatz-ai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/akatz-ai/ComfyUI-AKatz-Nodes",
+            "title": "Akatz Custom Nodes"
+        },
+        {
+            "author": "teward",
+            "description": "ComfyUI custom node that activates integration with a Sentry instance for loading. Has no actual nodes.",
+            "files": [
+                "https://github.com/teward/Comfy-Sentry"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/teward/Comfy-Sentry",
+            "title": "Comfy-Sentry"
+        },
+        {
+            "author": "Fuou Marinas",
+            "description": "A collection of ComfyUI nodes. Including: WFEN, RealViFormer, ProPIH",
+            "files": [
+                "https://github.com/FuouM/FM_nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/FuouM/FM_nodes",
+            "title": "FM_nodes"
+        },
+        {
+            "author": "Fuou Marinas",
+            "description": "Run [a/First Order Motion Model](https://github.com/AliaksandrSiarohin/first-order-model) for Image Animation in ComfyUI.",
+            "files": [
+                "https://github.com/FuouM/ComfyUI-FirstOrderMM"
+            ],
+            "id": "fomm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FuouM/ComfyUI-FirstOrderMM",
+            "title": "ComfyUI-FirstOrderMM"
+        },
+        {
+            "author": "Fuou Marinas",
+            "description": "Nodes:Neural Neighbor, CAST, EFDM, MicroAST, Coral Color Transfer.",
+            "files": [
+                "https://github.com/FuouM/ComfyUI-StyleTransferPlus"
+            ],
+            "id": "styletransferplus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FuouM/ComfyUI-StyleTransferPlus",
+            "title": "ComfyUI-StyleTransferPlus"
+        },
+        {
+            "author": "MiddleKD",
+            "description": "ComfyUI's Smart Memory Management efficiently manages RAM, GPU memory, and garbage collection. This feature keeps frequently used models in memory to increase inference speed, and dynamically releases less important models when memory is low to optimize resources. However, not all ComfyUI custom node developers create nodes that are compatible with Smart memory management. This includes several impressive models. Mem-safe-wrapper is a custom node that wraps these model nodes to enable ComfyUI's Smart memory management capabilities.",
+            "files": [
+                "https://github.com/MiddleKD/ComfyUI-mem-safe-wrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MiddleKD/ComfyUI-mem-safe-wrapper",
+            "title": "ComfyUI-mem-safe-wrapper"
+        },
+        {
+            "author": "MiddleKD",
+            "description": "This is a ComfyUI custom node that helps generate images while preserving the text, logos, and details of e-commerce products.",
+            "files": [
+                "https://github.com/MiddleKD/ComfyUI-productfix"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MiddleKD/ComfyUI-productfix",
+            "title": "ComfyUI-productfix"
+        },
+        {
+            "author": "PowerHouseMan",
+            "description": "AdvancedLivePortrait with Facial expression editor",
+            "files": [
+                "https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait"
+            ],
+            "id": "advancedliveportrait",
+            "install_type": "git-clone",
+            "reference": "https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait",
+            "title": "ComfyUI-AdvancedLivePortrait"
+        },
+        {
+            "author": "cdxOo",
+            "description": "multiline text node that strips c-style comments (i.e.'//' and '/* ... */') before passing output string downstream",
+            "files": [
+                "https://github.com/cdxOo/comfyui-text-node-with-comments"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/cdxOo/comfyui-text-node-with-comments",
+            "title": "Text Node With Comments (@cdxoo)"
+        },
+        {
+            "author": "noarche",
+            "description": "Script for [a/AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) and node for ComfyUI to enhance colors.\nThis is the same algorithm GIMP/GEGL uses for color enhancement. The gist of this implementation is that it converts the color space to [CIELCh(ab) and normalizes the chroma (or '[a/colorfulness](https://en.wikipedia.org/wiki/Colorfulness)') component. Original source can be found in the link below.",
+            "files": [
+                "https://github.com/noarche/sd-webui-color-enhance"
+            ],
+            "id": "color-enhance",
+            "install_type": "git-clone",
+            "reference": "https://github.com/noarche/sd-webui-color-enhance",
+            "title": "noarche/Color Enhance"
+        },
+        {
+            "author": "emojiiii",
+            "description": "Nodes:MultiTextEncode, KolorsMultiTextEncode, Caption, BatchImageProcessor",
+            "files": [
+                "https://github.com/emojiiii/ComfyUI_Emojiiii_Custom_Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/emojiiii/ComfyUI_Emojiiii_Custom_Nodes",
+            "title": "ComfyUI_Emojiiii_Custom_Nodes"
+        },
+        {
+            "author": "aonekoss",
+            "description": "A simple counter, when pressing 'Queue Prompt' resets the count.",
+            "files": [
+                "https://github.com/oleksandr612/ComfyUI-Counter"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/oleksandr612/ComfyUI-Counter",
+            "title": "ComfyUI-Counter"
+        },
+        {
+            "author": "syaofox",
+            "description": "Nodes:BatchImageFromList, Load Face Occlusion Model, Create Face Mask, Simple FaceAlign, Cacul FaceAlign, Gen Blurbord, Face Align, Face Rotate, ImageAdd, LoadImageList, SaveImage Plus, RegTextFind",
+            "files": [
+                "https://github.com/syaofox/ComfyUI_FoxTools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/syaofox/ComfyUI_FoxTools",
+            "title": "ComfyUI_FoxTools"
+        },
+        {
+            "author": "alpertunga-bile",
+            "description": "Using image caption models to extract prompts in ComfyUI",
+            "files": [
+                "https://github.com/alpertunga-bile/image-caption-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/alpertunga-bile/image-caption-comfyui",
+            "title": "image-caption-comfyui"
+        },
+        {
+            "author": "Anibaaal",
+            "description": "Nodes: Easy Resolution Picker, Save Diffusion Model, Load Checkpoint BNB On the fly, Load UNET BNB On the fly",
+            "files": [
+                "https://github.com/Anibaaal/ComfyUI-UX-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Anibaaal/ComfyUI-UX-Nodes",
+            "title": "ComfyUI UX Nodes"
+        },
+        {
+            "author": "NMWave",
+            "description": "A small set of useful nodes which aid with the tagging process by splitting tags and strings, alternating tags from multiple sources and removing duplicates.",
+            "files": [
+                "https://github.com/NMWave/ComfyUI-Nader-Tagging"
+            ],
+            "id": "naderimagecaptionandtag",
+            "install_type": "git-clone",
+            "reference": "https://github.com/NMWave/ComfyUI-Nader-Tagging",
+            "title": "Image Captioning and Tagging Assistor Nodes"
+        },
+        {
+            "author": "caleboleary",
+            "description": "This ComfyUI node library builds upon the work done to train the [a/Arc2Face](https://github.com/foivospar/Arc2Face) model by foivospar. It provides a set of nodes for ComfyUI that allow users to extract face embeddings, generate images based on these embeddings, and perform image-to-image transformations.",
+            "files": [
+                "https://github.com/caleboleary/ComfyUI-Arc2Face"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/caleboleary/ComfyUI-Arc2Face",
+            "title": "Arc2Face ComfyUI Node Library"
+        },
+        {
+            "author": "GeekyGhost",
+            "description": "GeekyRemB is a powerful and versatile image processing node for ComfyUI, designed to remove backgrounds from images with advanced customization options. This node leverages the rembg library and offers a wide range of features for fine-tuning the background removal process and enhancing the resulting images.",
+            "files": [
+                "https://github.com/GeekyGhost/ComfyUI-GeekyRemB"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/GeekyGhost/ComfyUI-GeekyRemB",
+            "title": "ComfyUI-GeekyRemB"
+        },
+        {
+            "author": "Dobidop",
+            "description": "Two simple nodes for stereoscopic image generation. Nodes: Stereo Image Node - a basic port from the Automatic1111 stereo script in thygate/stable-diffusion-webui-depthmap-script, LazyStereo - a na\u00efve stereo image generator",
+            "files": [
+                "https://github.com/Dobidop/ComfyStereo"
+            ],
+            "id": "simple-stereoscopic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Dobidop/ComfyStereo",
+            "title": "Dobidop ComfyStereo"
+        },
+        {
+            "author": "SeniorPioner",
+            "description": "Node Pack: PromptChecker for token toggling, KoboldCPP API, ModelMerging, Telegram-Bot-API, and more",
+            "files": [
+                "https://github.com/bananasss00/ComfyUI-SP-Nodes"
+            ],
+            "id": "spnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bananasss00/ComfyUI-SP-Nodes",
+            "title": "SP-Nodes"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI for [a/M3Net](https://github.com/I2-Multimedia-Lab/M3Net)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_M3Net"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_M3Net",
+            "title": "ComfyUI_M3Net"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI for [a/InternVL](https://github.com/OpenGVLab/InternVL)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_InternVL2"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_InternVL2",
+            "title": "ComfyUI_InternVL2"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI for [a/LLaSM](https://huggingface.co/spaces/LinkSoul/LLaSM)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_LLaSM"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_LLaSM",
+            "title": "ComfyUI_LLaSM"
+        },
+        {
+            "author": "leeguandong",
+            "description": "Nodes:Load Video to Images, Image to Canny, ControlNet Model Loader, VEDit Model Loader, VEdit Sampler. [a/https://github.com/SingleZombie/DiffusersExample/tree/main/ReplaceAttn](https://github.com/SingleZombie/DiffusersExample/tree/main/ReplaceAttn)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_VideoEditing"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_VideoEditing",
+            "title": "ComfyUI nodes to use VideoEditing"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI for [a/CrossImageAttention](https://github.com/garibida/cross-image-attention)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_CrossImageAttention"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_CrossImageAttention",
+            "title": "ComfyUI nodes to use CrossImageAttention"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI for [a/style-aligned](https://github.com/google/style-aligned)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_Style_Aligned"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_Style_Aligned",
+            "title": "ComfyUI nodes to use Style-Aligned"
+        },
+        {
+            "author": "leeguandong",
+            "description": "NODES:HF ModelLoader, Show Images, Text2Image Inference, Decode Latent, Show CrossAttn Map, Show SelfAttn Map",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_VisualAttentionMap"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_VisualAttentionMap",
+            "title": "ComfyUI_VisualAttentionMap"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI nodes to use MasaCtrl",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_MasaCtrl"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_MasaCtrl",
+            "title": "ComfyUI nodes to use MasaCtrl"
+        },
+        {
+            "author": "lenskikh",
+            "description": "Node:Prompt Worker. A text manipulation node for postprocessing of prompt.",
+            "files": [
+                "https://github.com/lenskikh/ComfyUI-Prompt-Worker"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lenskikh/ComfyUI-Prompt-Worker",
+            "title": "Propmt Worker"
+        },
+        {
+            "author": "kappa54",
+            "description": "Custom nodes intended to improve usability.",
+            "files": [
+                "https://github.com/kappa54m/ComfyUI_Usability"
+            ],
+            "id": "comfyui_usability",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kappa54m/ComfyUI_Usability",
+            "title": "ComfyUI Usability"
+        },
+        {
+            "author": "IuvenisSapiens",
+            "description": "This is an implementation of [a/MiniCPM-V-2_6-int4](https://github.com/OpenBMB/MiniCPM-V) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses.",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4"
+            ],
+            "id": "minicpm-v-2_6-int4",
+            "install_type": "git-clone",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4",
+            "title": "ComfyUI_MiniCPM-V-2_6-int4"
+        },
+        {
+            "author": "IuvenisSapiens",
+            "description": "This is an implementation of [a/Qwen2-Audio-7B-Instruct-Int4](https://github.com/QwenLM/Qwen2-Audio) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for text-based queries and audio queries to generate captions or responses.",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-Audio-7B-Instruct-Int4"
+            ],
+            "id": "qwen2-audio-7b-instruct-int4",
+            "install_type": "git-clone",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-Audio-7B-Instruct-Int4",
+            "title": "ComfyUI_Qwen2-Audio-7B-Instruct-Int4"
+        },
+        {
+            "author": "mltask",
+            "description": "a set of nodes to help u run ai code using MLTask",
+            "files": [
+                "https://github.com/misterjoessef/MLTask_ComfyUI"
+            ],
+            "id": "mltask_comfyui",
+            "install_type": "git-clone",
+            "reference": "https://github.com/misterjoessef/MLTask_ComfyUI",
+            "title": "MLTask_ComfyUI"
+        },
+        {
+            "author": "smlbiobot",
+            "description": "Flux Pro via Replicate API\nCreate API key at [a/https://replicate.com/account/api-tokens](https://replicate.com/account/api-tokens)\nCopy config.ini.example to config.ini and put the replicate key there.",
+            "files": [
+                "https://github.com/smlbiobot/ComfyUI-Flux-Replicate-API"
+            ],
+            "id": "replicate-api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smlbiobot/ComfyUI-Flux-Replicate-API",
+            "title": "ComfyUI-Flux-Replicate-API"
+        },
+        {
+            "author": "Jjulianadv",
+            "description": "This extension provides the ability to build prompts using wildcards for each region of a split image.",
+            "files": [
+                "https://github.com/Julian-adv/WildDivide"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Julian-adv/WildDivide",
+            "title": "Wild Divide"
+        },
+        {
+            "author": "goburiin",
+            "description": "Nodes:NSFW Detector",
+            "files": [
+                "https://github.com/goburiin/nsfwrecog-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/goburiin/nsfwrecog-comfyui",
+            "title": "nsfwrecog-comfyui"
+        },
+        {
+            "author": "eastoc",
+            "description": "Segment and Recognize Anything at Any Granularity.",
+            "files": [
+                "https://github.com/eastoc/ComfyUI_SemanticSAM"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/eastoc/ComfyUI_SemanticSAM",
+            "title": "Semantic-SAM"
+        },
+        {
+            "author": "LING-APE",
+            "description": "Simple resuluition calculator to convert pixel resolution and aspect ratio to laten friendlt pixel width and height size.",
+            "files": [
+                "https://github.com/Ling-APE/ComfyUI-PixelResolutionCalculator"
+            ],
+            "id": "PixelCalulator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ling-APE/ComfyUI-PixelResolutionCalculator",
+            "title": "ComfyUI-PixelResolutionCalculator"
+        },
+        {
+            "author": "Cyber-Blacat",
+            "description": "Some simple&practical ComfyUI image processing nodes.",
+            "files": [
+                "https://github.com/Cyber-Blacat/ComfyUI-Yuan"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Cyber-Blacat/ComfyUI-Yuan",
+            "title": "ComfyUI-Yuan"
+        },
+        {
+            "author": "blackcodetavern",
+            "description": "ComfyUI-Benripack is an extension for ComfyUI that provides a CharacterPipe node. This node allows for managing various elements such as images, prompts, and models in a single structure, simplifying the workflow for character-based image generation.",
+            "files": [
+                "https://github.com/blackcodetavern/ComfyUI-Benripack"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/blackcodetavern/ComfyUI-Benripack",
+            "title": "ComfyUI-Benripack"
+        },
+        {
+            "author": "MohammadAboulEla",
+            "description": "The iTools are some quality of life nodes, like read a possible prompt used to create an image, save a prompt to file as a new line, read prompts from a multiline file.",
+            "files": [
+                "https://github.com/MohammadAboulEla/ComfyUI-iTools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MohammadAboulEla/ComfyUI-iTools",
+            "title": "ComfyUI-iTools"
+        },
+        {
+            "author": "Hellrunner2k",
+            "description": "Nodes:Magical Save Node, Thermal Latenator. This package contains a collection of neat nodes that are supposed to ease your comfy-flow.",
+            "files": [
+                "https://github.com/Hellrunner2k/ComfyUI-HellrunnersMagicalNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hellrunner2k/ComfyUI-HellrunnersMagicalNodes",
+            "title": "Hellrunner's Magical Nodes"
+        },
+        {
+            "author": "caleboleary",
+            "description": "Nodes:CharacterManagerNode, FilmGrain, FlipFlopperSameArch",
+            "files": [
+                "https://github.com/caleboleary/Comfyui-calbenodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/caleboleary/Comfyui-calbenodes",
+            "title": "Comfyui-calbenodes"
+        },
+        {
+            "author": "Raapys",
+            "description": "Simple latent-passthrough node for running a full VRAM cleanup between workflow stages.",
+            "files": [
+                "https://github.com/Raapys/ComfyUI-LatentGC_Aggressive"
+            ],
+            "id": "latentgcaggressive",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Raapys/ComfyUI-LatentGC_Aggressive",
+            "title": "LatentGC Aggressive"
+        },
+        {
+            "author": "Pheat-AI",
+            "description": "Nodes:Batch Image Blend by Mask, Batch Enlarged Overlay, Batch Image Overlay, Remove Black Pixels to Transparent",
+            "files": [
+                "https://github.com/Pheat-AI/Remade_nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Pheat-AI/Remade_nodes",
+            "title": "Remade_nodes"
+        },
+        {
+            "author": "OgreLemonSoup",
+            "description": "Adds a gallery to the Load Image node",
+            "files": [
+                "https://github.com/OgreLemonSoup/ComfyUI-Load-Image-Gallery"
+            ],
+            "id": "LoadImageGallery",
+            "install_type": "git-clone",
+            "reference": "https://github.com/OgreLemonSoup/ComfyUI-Load-Image-Gallery",
+            "title": "Load Image Gallery"
+        },
+        {
+            "author": "OuticNZ",
+            "description": "Nodes:Text Switch 2 Way, Prompt Tidy, Text With Context.",
+            "files": [
+                "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex",
+            "title": "ComfyUI-Simple-Of-Complex"
+        },
+        {
+            "author": "justUmen",
+            "description": "Nodes: Ollama, Green Screen to Transparency, Save image for Bjornulf LobeChat, Text with random Seed, Random line from input, Combine images (Background+Overlay alpha), Image to grayscale (black & white), Remove image Transparency (alpha), Resize Image, ...",
+            "files": [
+                "https://github.com/justUmen/Bjornulf_custom_nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/justUmen/Bjornulf_custom_nodes",
+            "title": "Bjornulf_custom_nodes"
+        },
+        {
+            "author": "jstit",
+            "description": "Nodes:ImageCropCircle.",
+            "files": [
+                "https://github.com/jstit/comfyui_custom_node_image"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jstit/comfyui_custom_node_image",
+            "title": "comfyui_custom_node_image"
+        },
+        {
+            "author": "jstit",
+            "description": "Nodes:Download Dreambooth Checkpoint, Get Random Value From List, Load Canny Pose Face, Transparent to White Background, Download Flux Lora.",
+            "files": [
+                "https://github.com/HeadshotPro/ComfyUI-HeadshotPro"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/HeadshotPro/ComfyUI-HeadshotPro",
+            "title": "ComfyUI-HeadshotPro"
+        },
+        {
+            "author": "Isi-dev",
+            "description": "These are nodes to animate an image with a reference video using UniAnimate. [w/Name conflict with AIFSH/ComfyUI-UniAnimate. Cannot install simulatenously.]",
+            "files": [
+                "https://github.com/Isi-dev/ComfyUI-UniAnimate-W"
+            ],
+            "id": "comfyuiunianimatenodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Isi-dev/ComfyUI-UniAnimate-W",
+            "title": "UniAnimate Nodes for ComfyUI"
+        },
+        {
+            "author": "XLabs-AI",
+            "description": "Nodes:Load Flux LoRA, Load Flux ControlNet, Apply Flux ControlNet, Xlabs Sampler",
+            "files": [
+                "https://github.com/XLabs-AI/x-flux-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/XLabs-AI/x-flux-comfyui",
+            "title": "x-flux-comfyui"
+        },
+        {
+            "author": "okgo4",
+            "description": "ComfyUI-Mosaic-Mask is an automatic tool designed to detect and mask mosaic areas in input images.",
+            "files": [
+                "https://github.com/okgo4/ComfyUI-Mosaic-Mask"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/okgo4/ComfyUI-Mosaic-Mask",
+            "title": "ComfyUI-Mosaic-Mask"
+        },
+        {
+            "author": "ChrisColeTech",
+            "description": "This custom node package for ComfyUI is designed to streamline your workflow with powerful file-counting capabilities.",
+            "files": [
+                "https://github.com/ChrisColeTech/ComfyUI-Line-counter"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ChrisColeTech/ComfyUI-Line-counter",
+            "title": "ComfyUI-Line-counter"
+        },
+        {
+            "author": "ChrisColeTech",
+            "description": "This custom node for ComfyUI will add a simple and elegant resource monitor.",
+            "files": [
+                "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor",
+            "title": "ComfyUI-Elegant-Resource-Monitor"
+        },
+        {
+            "author": "dadoirie",
+            "description": "ComfyUI_Dados_Nodes is a collection of custom nodes for ComfyUI, designed to enhance functionality and provide integration with various services, including Pinterest. This privacy policy explains how these nodes handle user data.\nNOTE: [a/privacy_policy](https://github.com/dadoirie/ComfyUI_Dados_Nodes/blob/master/privacy_policy.md)",
+            "files": [
+                "https://github.com/dadoirie/ComfyUI_Dados_Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/dadoirie/ComfyUI_Dados_Nodes",
+            "title": "ComfyUI_Dados_Nodes"
+        },
+        {
+            "author": "fanfanfan",
+            "description": "Support input of Chinese prompts.",
+            "files": [
+                "https://github.com/yuan199696/chinese_clip_encode"
+            ],
+            "id": "chinese_clip_encode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuan199696/chinese_clip_encode",
+            "title": "chinese_clip_encode"
+        },
+        {
+            "author": "fanfanfan",
+            "description": "Support adding custom text to the generated images.",
+            "files": [
+                "https://github.com/yuan199696/add_text_2_img"
+            ],
+            "id": "add_text_2_img",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuan199696/add_text_2_img",
+            "title": "add_text_2_img"
+        },
+        {
+            "author": "fairy-root",
+            "description": "Ollama and Llava vision integration for ComfyUI",
+            "files": [
+                "https://github.com/fairy-root/comfyui-ollama-llms"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/fairy-root/comfyui-ollama-llms",
+            "title": "Ollama and Llava Vision integration for ComfyUI"
+        },
+        {
+            "author": "fairy-root",
+            "description": "A flexible and customizable prompt generator for generating detailed and creative prompts for image generation models for ComfyUI",
+            "files": [
+                "https://github.com/fairy-root/Flux-Prompt-Generator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/fairy-root/Flux-Prompt-Generator",
+            "title": "Flux Prompt Generator for ComfyUI"
+        },
+        {
+            "author": "ryanontheinside",
+            "description": "Custom nodes introducing particle simulations, optical flow, audio manipulation & reactivity, and temporal masks",
+            "files": [
+                "https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside",
+            "title": "RyanOnTheInside"
+        },
+        {
+            "author": "ControlAltAI",
+            "description": "Quality of Life ComfyUI nodes starting with Flux Resolution Calculator and Flux Sampler.",
+            "files": [
+                "https://github.com/gseth/ControlAltAI-Nodes"
+            ],
+            "id": "controlaltai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gseth/ControlAltAI-Nodes",
+            "title": "ControlAltAI Nodes"
+        },
+        {
+            "author": "OliverCrosby",
+            "description": "A simple minimap in the bottom-right of the window showing the full workflow, left click to navigate",
+            "files": [
+                "https://github.com/OliverCrosby/Comfyui-Minimap"
+            ],
+            "id": "minimap",
+            "install_type": "git-clone",
+            "reference": "https://github.com/OliverCrosby/Comfyui-Minimap",
+            "title": "ComfyUI Minimap"
+        },
+        {
+            "author": "doomy23",
+            "description": "Nodes: Images_Converter, Show_Text, Strings_From_List, Save_Text, Random_Images, Load_Images_From_Paths, JSPaint.",
+            "files": [
+                "https://github.com/doomy23/ComfyUI-D00MYsNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/doomy23/ComfyUI-D00MYsNodes",
+            "title": "ComfyUI-D00MYsNodes"
+        },
+        {
+            "author": "Sieyalixnet",
+            "description": "An easy custom node that makes the some loaders' input as Text instead of file selector.\nFor example, there are many characters in different loras respectively. If you want to generate different characters' pictures, you have to select corresponding lora, and then edit the prompt. It may cost much time.\nTo solve this problem, You can use it with a chrome extension https://github.com/Sieyalixnet/ComfyUI-Prompt-Formatter-Extension that makes the queue prompt easier when you dealing with massive loras and prompt.",
+            "files": [
+                "https://github.com/Sieyalixnet/ComfyUI_Textarea_Loaders"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Sieyalixnet/ComfyUI_Textarea_Loaders",
+            "title": "ComfyUI_Textarea_Loaders"
+        },
+        {
+            "author": "markuryy",
+            "description": "The Flux Prompt Saver is a custom node for ComfyUI that works in conjunction with the Flux Sampler Parameters node from the ComfyUI Essentials package. This node allows you to save images with metadata that includes information from the Flux Sampler Parameters pipeline.",
+            "files": [
+                "https://github.com/markuryy/ComfyUI-Flux-Prompt-Saver"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/markuryy/ComfyUI-Flux-Prompt-Saver",
+            "title": "ComfyUI Flux Prompt Saver"
+        },
+        {
+            "author": "eesahe",
+            "description": "InstantX's Flux union ControlNet loader and implementation",
+            "files": [
+                "https://github.com/EeroHeikkinen/ComfyUI-eesahesNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/EeroHeikkinen/ComfyUI-eesahesNodes",
+            "title": "ComfyUI-eesahesNodes"
+        },
+        {
+            "author": "anhkhoatranle30",
+            "description": "This is a pack with some handy nodes for ComfyUI.",
+            "files": [
+                "https://github.com/anhkhoatranle30/Handy-Nodes-ComfyUI"
+            ],
+            "id": "handynode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/anhkhoatranle30/Handy-Nodes-ComfyUI",
+            "title": "Handy Node ComfyUI"
+        },
+        {
+            "author": "Artiprocher",
+            "description": "The FLUX model API from DashScope, developed by Black Forest Labs, offers superior image generation capabilities with optimized support for Chinese prompts, achieving a commendable tradeoff between performance and the quality of generated images compared to other open-source models.",
+            "files": [
+                "https://github.com/modelscope/comfyscope"
+            ],
+            "id": "dashscope_api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/modelscope/comfyscope",
+            "title": "Dashscope FLUX API for ComfyUI"
+        },
+        {
+            "author": "lucafoscili",
+            "description": "JSON Nodes, Large Language Model Nodes, Logic Nodes, Workflow Nodes.",
+            "files": [
+                "https://github.com/lucafoscili/comfyui-lf"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lucafoscili/comfyui-lf",
+            "title": "LF Nodes"
+        },
+        {
+            "author": "JPrevots",
+            "description": "Nodes:PhyCV - Phase-Stretch Transform (PST), PhyCV - VEViD, PhyCV - Page.",
+            "files": [
+                "https://github.com/JPrevots/ComfyUI-PhyCV"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/JPrevots/ComfyUI-PhyCV",
+            "title": "ComfyUI-PhyCV"
+        },
+        {
+            "author": "rnbwdsh",
+            "description": "Latent space walks for latents, conditionals and noise",
+            "files": [
+                "https://github.com/rnbwdsh/ComfyUI-LatentWalk"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/rnbwdsh/ComfyUI-LatentWalk",
+            "title": "Latent Walk"
+        },
+        {
+            "author": "kudou-reira",
+            "description": "This is a simple ComfyUI node that will take in a string of 'color' (i.e. 'blue') and output a hex color format.",
+            "files": [
+                "https://github.com/kudou-reira/ComfyUI_StringToHex"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kudou-reira/ComfyUI_StringToHex",
+            "title": "ComfyUI_StringToHex"
+        },
+        {
+            "author": "phyblas",
+            "description": "Implementation of paint-by-example on ComfyUI",
+            "files": [
+                "https://github.com/phyblas/paint-by-example_comfyui"
+            ],
+            "id": "paintbyexample",
+            "install_type": "git-clone",
+            "reference": "https://github.com/phyblas/paint-by-example_comfyui",
+            "title": "paint-by-example @ ComfyUI"
+        },
+        {
+            "author": "aidenli",
+            "description": "Nodes: Translate, JoyTag, JoyCaption.",
+            "files": [
+                "https://github.com/aidenli/ComfyUI_NYJY"
+            ],
+            "id": "NYJY",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aidenli/ComfyUI_NYJY",
+            "title": "ComfyUI_NYJY"
+        },
+        {
+            "author": "Pseudotools",
+            "description": "A package designed to enable multi-regional prompting for architectural rendering, integrated with the Rhino Pseudorandom plugin.",
+            "files": [
+                "https://github.com/Pseudotools/Pseudocomfy"
+            ],
+            "id": "pseudocomfy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Pseudotools/Pseudocomfy",
+            "title": "Pseudocomfy"
+        },
+        {
+            "author": "TTPlanetPig",
+            "description": "This is a workflow for my simple logic amazing upscale node for DIT model. it can be common use for Flux,Hunyuan,SD3 It can simple tile the initial image into pieces and then use image-interrogator to get each tile prompts for more accurate upscale process. The condition will be properly handled and the hallucination will be significantly eliminated.",
+            "files": [
+                "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset",
+            "title": "Comfyui_TTP_Toolset"
+        },
+        {
+            "author": "TTPlanetPig",
+            "description": "Adapt for Hunyuan now\nNOTE: The files in the repo are not organized, which may lead to update issues.",
+            "files": [
+                "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor",
+            "title": "for comfyui image proprocessor"
+        },
+        {
+            "author": "camenduru",
+            "description": "NODES: SendToTostAI",
+            "files": [
+                "https://github.com/camenduru/ComfyUI-TostAI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/camenduru/ComfyUI-TostAI",
+            "title": "ComfyUI-TostAI"
+        },
+        {
+            "author": "xlinx",
+            "description": "Auto prompt by LLM and LLM-Vision. (Trigger more details hiding in model)",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-auto-prompt-llm"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-auto-prompt-llm",
+            "title": "ComfyUI-decadetw-auto-prompt-llm"
+        },
+        {
+            "author": "xlinx",
+            "description": "Auto messging sd-image and sd-info to mobile phone IM realtime. (LINE | Telegram | Discord)",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime",
+            "title": "ComfyUI-decadetw-auto-messaging-realtime"
+        },
+        {
+            "author": "xlinx",
+            "description": "I'm SD-VJ. (share SD-generating-process in realtime by gpu)",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj",
+            "title": "ComfyUI-decadetw-spout-syphon-im-vj"
+        },
+        {
+            "author": "wmpmiles",
+            "description": "Generalised 'image' processing nodes for images, masks, latents, and combinations thereof.",
+            "files": [
+                "https://github.com/wmpmiles/ComfyUI-GTF-Utilities"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wmpmiles/ComfyUI-GTF-Utilities",
+            "title": "ComfyUI-GTF-Utilities"
+        },
+        {
+            "author": "nonnonstop",
+            "description": "This extension applies a patch that limits the model loading speed when using an HDD in a Windows environment. See [a/comfyanonymous/ComfyUI#1992](https://github.com/comfyanonymous/ComfyUI/issues/1992). [w/As this patch is only useful in very limited environments, its installation is not recommended under normal circumstances. Memory usage may increase.]",
+            "files": [
+                "https://github.com/nonnonstop/comfyui-faster-loading"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nonnonstop/comfyui-faster-loading",
+            "title": "comfyui-faster-loading"
+        },
+        {
+            "author": "Dr.Jusseaux",
+            "description": "A collection of ComfyUI custom nodes that allow to use most Diffusers pipelines and components in Comfy(Txt2Img, Img2Img, Inpainting, LoRAS, B-LoRAS, ControlNet...)",
+            "files": [
+                "https://github.com/maepopi/Diffusers-in-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/maepopi/Diffusers-in-ComfyUI",
+            "title": "Diffusers-in-ComfyUI"
+        },
+        {
+            "author": "niknah",
+            "description": "Quick connections, Circuit board connections",
+            "files": [
+                "https://github.com/niknah/quick-connections"
+            ],
+            "id": "quick-connections",
+            "install_type": "git-clone",
+            "reference": "https://github.com/niknah/quick-connections",
+            "title": "Quick Connections"
+        },
+        {
+            "author": "daryltucker",
+            "description": "The primary goal of these nodes is to provide a way to access files generated by ComfyUI workflows, local to the machine running ComfyUI. These nodes should always return an updated list of files when triggered.",
+            "files": [
+                "https://github.com/daryltucker/ComfyUI-LoadFiles"
+            ],
+            "id": "LoadFiles",
+            "install_type": "git-clone",
+            "reference": "https://github.com/daryltucker/ComfyUI-LoadFiles",
+            "title": "ComfyUI-LoadFiles"
+        },
+        {
+            "author": "X-T-E-R",
+            "description": "Load your model with image previews, or directly download and import Civitai models via URL. This custom ComfyUI node supports Checkpoint, LoRA, and LoRA Stack models, offering features like bypass options.",
+            "files": [
+                "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes",
+            "title": "ComfyUI Easy Civitai (XTNodes)"
+        },
+        {
+            "author": "hyejinlee12",
+            "description": "This node is to fill image for outpainting(inpainting)\nFill image using cv2 methods(cv2_ns, cv2_telea and edge_pad)",
+            "files": [
+                "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting"
+            ],
+            "id": "fill-image-for-outpainting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting",
+            "title": "ComfyUI-Fill-Image-for-Outpainting"
+        },
+        {
+            "author": "yhayano-ponotech",
+            "description": "This repository contains custom nodes for ComfyUI that integrate the fal.ai FLUX.1 [dev] with LoRA API, specifically for text-to-image generation. These nodes allow you to use the FLUX.1 model directly within your ComfyUI workflows.",
+            "files": [
+                "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux",
+            "title": "ComfyUI-Fal-API-Flux"
+        },
+        {
+            "author": "Rvage0815",
+            "description": "With this suit, you have a lot of nodes in one place to build your workflow.",
+            "files": [
+                "https://github.com/Rvage0815/ComfyUI-RvTools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Rvage0815/ComfyUI-RvTools",
+            "title": "ComfyUI-RvTools"
+        },
+        {
+            "author": "erosDiffusion",
+            "description": "pass up to 8 images and visually place, rotate and scale them to build the perfect composition. group move and group rescale. remember their position and scaling value across generations to easy swap images. use the buffer zone to to park an asset you don't want to use or easily reach transformations controls",
+            "files": [
+                "https://github.com/erosDiffusion/ComfyUI-enricos-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/erosDiffusion/ComfyUI-enricos-nodes",
+            "title": "Compositor Node"
+        },
+        {
+            "author": "Steudio",
+            "description": "Nodes: Make_Tile_Calc, Make_Tiles, Unmake_Tiles, Make_Size, Make_Size_Latent",
+            "files": [
+                "https://github.com/Steudio/ComfyUI_Steudio"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Steudio/ComfyUI_Steudio",
+            "title": "ComfyUI_Steudio"
+        },
+        {
+            "author": "Assistant",
+            "description": "Custom node to manage prompts in YAML format.",
+            "files": [
+                "https://github.com/NakamuraShippo/ComfyUI-PromptList"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/NakamuraShippo/ComfyUI-PromptList",
+            "title": "ComfyUI-PromptList"
+        },
+        {
+            "author": "nux1111",
+            "description": "Run ComfyUI workflows on multiple local GPUs/networked machines with options to edit the json values within comfyui.\nOriginal repo: [a/city96/ComfyUI_NetDist](https://github.com/city96/ComfyUI_NetDist)",
+            "files": [
+                "https://github.com/nux1111/ComfyUI_NetDist_Plus"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nux1111/ComfyUI_NetDist_Plus",
+            "title": "ComfyUI_NetDist_Plus"
+        },
+        {
+            "author": "mittimi",
+            "description": "The system selects and loads preset.",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiLoadPreset"
+            ],
+            "id": "comfyui-mittimi-load-preset",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiLoadPreset",
+            "title": "ComfyUI_mittimiLoadPreset"
+        },
+        {
+            "author": "mittimi",
+            "description": "This is the node that performs the magnification calculation.",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize"
+            ],
+            "id": "comfyui_mittimi_recalculate_size",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize",
+            "title": "ComfyUI_mittimiRecalculateSize"
+        },
+        {
+            "author": "mittimi",
+            "description": "This node can easily switch between vertical and horizontal values with a single button.",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiWidthHeight"
+            ],
+            "id": "comfyui_mittimi_width_height",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiWidthHeight",
+            "title": "ComfyUI_mittimiWidthHeight"
+        },
+        {
+            "author": "RodrigoSKohl",
+            "description": "Simple Node to make panoramic images",
+            "files": [
+                "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher",
+            "title": "Panoramic Image Stitcher"
+        },
+        {
+            "author": "nicehero",
+            "description": "SegGPT model for comfyui,segmentation everything with mask prompt. Download (https://huggingface.co/BAAI/SegGPT/blob/main/seggpt_vit_large.pth) in this node path.",
+            "files": [
+                "https://github.com/nicehero/comfyui-SegGPT"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nicehero/comfyui-SegGPT",
+            "title": "comfyui-SegGPT"
+        },
+        {
+            "author": "sakura1bgx",
+            "description": "ComfyUI_FlipStreamViewer is a tool that provides a viewer interface for flipping images with frame interpolation, allowing you to watch high-fidelity pseudo-videos without needing AnimateDiff.",
+            "files": [
+                "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer",
+            "title": "ComfyUI_FlipStreamViewer"
+        },
+        {
+            "author": "ducido",
+            "description": "This is a node to generate new image that combine 2 objects from different scene.",
+            "files": [
+                "https://github.com/ducido/ObjectFusion_ComfyUI_nodes"
+            ],
+            "id": "objectfusion-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ducido/ObjectFusion_ComfyUI_nodes",
+            "title": "ObjectFusion_ComfyUI_nodes"
+        },
+        {
+            "author": "DanielHabib",
+            "description": "NODES:Mesh To Voxel, Voxel Block Saver, Voxel Viewer",
+            "files": [
+                "https://github.com/DanielHabib/ComfyUI-Voxels"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DanielHabib/ComfyUI-Voxels",
+            "title": "ComfyUI-Voxels"
+        },
+        {
+            "author": "jsonL",
+            "description": "Nodes to use Florence2 VLM for image vision tasks: object detection, captioning, segmentation and ocr",
+            "files": [
+                "https://github.com/StarMagicAI/comfyui_tagger"
+            ],
+            "id": "comfyui-tagger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StarMagicAI/comfyui_tagger",
+            "title": "ComfyUI-tagger"
+        },
+        {
+            "author": "boredofnames",
+            "description": "NODES:Save Image and ntfy",
+            "files": [
+                "https://github.com/boredofnames/ComfyUI-ntfy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/boredofnames/ComfyUI-ntfy",
+            "title": "ComfyUI-ntfy"
+        },
+        {
+            "author": "Xclbr7",
+            "description": "ComfyUI-Merlin is a custom node extension for ComfyUI, introducing the Magic Photo Prompter. This powerful tool enhances your prompt engineering process by allowing users to easily construct detailed, high-quality prompts for photo-realistic image generation.",
+            "files": [
+                "https://github.com/Xclbr7/ComfyUI-Merlin"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Xclbr7/ComfyUI-Merlin",
+            "title": "ComfyUI-Merlin: Magic Photo Prompter"
+        },
+        {
+            "author": "neverbiasu",
+            "description": "NODES:StyleShotApply",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-StyleShot"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/neverbiasu/ComfyUI-StyleShot",
+            "title": "ComfyUI-StyleShot"
+        },
+        {
+            "author": "microbote",
+            "description": "StyledCLIPTextEncode is a node that enables you to build your prompts(both postive and negative) based on the selected style. It provides up-to 77 styles currently and has been tested on SDXL and SD1.5 checkpoints. It's ported from project [a/Style Selector for SDXL 1.0](https://github.com/ahgsql/StyleSelectorXL), which is only availabe on WebUI.",
+            "files": [
+                "https://github.com/microbote/ComfyUI-StyledCLIPTextEncode"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/microbote/ComfyUI-StyledCLIPTextEncode",
+            "title": "StyledCLIPTextEncode"
+        },
+        {
+            "author": "yvann-ba",
+            "description": "Audio Analysis, Transform audio into float weights",
+            "files": [
+                "https://github.com/yvann-ba/ComfyUI_Yvann-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/yvann-ba/ComfyUI_Yvann-Nodes",
+            "title": "ComfyUI_Yvann-Nodes"
+        },
+        {
+            "author": "Isi-dev",
+            "description": "These are ComfyUI nodes to assist in converting an image to sketches or lineArts.",
+            "files": [
+                "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants"
+            ],
+            "id": "Img2DrawingAssistants",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants",
+            "title": "ComfyUI-Img2DrawingAssistants"
+        },
+        {
+            "author": "tianguangliu",
+            "description": "Efficiency tools, Personalized style, Other Nodes, ...",
+            "files": [
+                "https://github.com/tianguanggliu/Utools"
+            ],
+            "id": "utools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tianguanggliu/Utools",
+            "title": "comfyui-utools"
+        },
+        {
+            "author": "celoron",
+            "description": "A ComfyUI node for transforming images into descriptive text using templated visual question answering. Leverages Hugging Face's VQA models with transformers",
+            "files": [
+                "https://github.com/celoron/ComfyUI-VisualQueryTemplate"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/celoron/ComfyUI-VisualQueryTemplate",
+            "title": "ComfyUI-VisualQueryTemplate"
+        },
+        {
+            "author": "Alex Genovese",
+            "description": "Huggingface Api Serverless request",
+            "files": [
+                "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference",
+            "title": "Huggingface Api Serverless"
+        },
+        {
+            "author": "freelifehacker",
+            "description": "NODES:ImageMask2PNG",
+            "files": [
+                "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG",
+            "title": "ComfyUI-ImgMask2PNG"
+        },
+        {
+            "author": "fssorc",
+            "description": "Generate transition frames between two character posture images. The prerequisite for running is to have installed comfyui_controlnet_aux, using its Open Pose or DWPose preprocessor",
+            "files": [
+                "https://github.com/fssorc/ComfyUI_pose_inter"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/fssorc/ComfyUI_pose_inter",
+            "title": "ComfyUI_pose_inter"
+        },
+        {
+            "author": "souki202",
+            "description": "This is a node that simply integrates LoadImage, Vae Encode, Upscale, Resolution factor correction, and Color Adjustment.",
+            "files": [
+                "https://github.com/souki202/ComfyUI-LoadImage-Advanced"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/souki202/ComfyUI-LoadImage-Advanced",
+            "title": "ComfyUI-LoadImage-Advanced"
+        },
+        {
+            "author": "drmbt",
+            "description": "A collection of forks, QoL nodes and utilities for ComfyUI",
+            "files": [
+                "https://github.com/drmbt/comfyui-dreambait-nodes"
+            ],
+            "id": "drmbt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/drmbt/comfyui-dreambait-nodes",
+            "title": "comfyui-dreambait-nodes"
+        },
+        {
+            "author": "InstaSD",
+            "description": "A collection of nodes for use with InstaSD. These nodes will be transformed into app inputs when you deploy your ComfyUI workflow on InstaSD.",
+            "files": [
+                "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD",
+            "title": "InstaSD nodes for ComfyUI"
+        },
+        {
+            "author": "Shiba-2-shiba",
+            "description": "This is a custom node to convert png images into color ASCII art. As noted below, multiple font sizes are used in the specification. The resolution of the generated file is set to be the same as the input image.",
+            "files": [
+                "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node"
+            ],
+            "id": "asciiart",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node",
+            "title": "ComfyUI-color-ascii-art-node"
+        },
+        {
+            "author": "Shiba-2-shiba",
+            "description": "This is a custom node to convert only the Diffusion model part or CLIP model part to fp8 in ComfyUI.\nVAE fp8 conversion is not supported.\nThe advantage of this node is that you do not need to separate unet/clip/vae in advance when converting to fp8, but can use the safetenros files that ComfyUI provides.",
+            "files": [
+                "https://github.com/Shiba-2-shiba/ComfyUI_DiffusionModel_fp8_converter"
+            ],
+            "id": "fp8-converter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Shiba-2-shiba/ComfyUI_DiffusionModel_fp8_converter",
+            "title": "ComfyUI_DiffusionModel_fp8_converter"
+        },
+        {
+            "author": "Bao Pham",
+            "description": "This extension provides a set of nodes that can be used to mask multiple object at once",
+            "files": [
+                "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH"
+            ],
+            "id": "lyra-vsih",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH",
+            "title": "ComfyUI-LyraVSIH"
+        },
+        {
+            "author": "AbyssBadger0",
+            "description": "Nodes:KolorsAwesomePrompts",
+            "files": [
+                "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts",
+            "title": "Kolors Awesome Prompts"
+        },
+        {
+            "author": "IuvenisSapiens",
+            "description": "This is an implementation of [a/Qwen2-VL-Instruct](https://github.com/QwenLM/Qwen2-VL) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), which includes, but is not limited to, support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses.",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct"
+            ],
+            "id": "qwen2-vl-instruct",
+            "install_type": "git-clone",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct",
+            "title": "ComfyUI_Qwen2-VL-Instruct"
+        },
+        {
+            "author": "Hmily",
+            "description": "An awesome light image processing tool nodes for ComfyUI.",
+            "files": [
+                "https://github.com/ihmily/ComfyUI-Light-Tool"
+            ],
+            "id": "hmily",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ihmily/ComfyUI-Light-Tool",
+            "title": "ComfyUI-Light-Tool"
+        },
+        {
+            "author": "k-komarov",
+            "description": "Save Your Image to BunnyStorage",
+            "files": [
+                "https://github.com/k-komarov/comfyui-bunny-cdn-storage"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/k-komarov/comfyui-bunny-cdn-storage",
+            "title": "comfyui-bunny-cdn-storage"
+        },
+        {
+            "author": "PabloGFX",
+            "description": "A custom node for ComfyUI that analyzes and sorts images based on head orientation using MediaPipe. It detects facial landmarks, calculates head pose, and intelligently sorts images for enhanced AI image processing workflows.",
+            "files": [
+                "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX"
+            ],
+            "id": "head-orientation-node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX",
+            "title": "Head Orientation Node"
+        },
+        {
+            "author": "45uee",
+            "description": "Implementation of color transfer using KMeans algorithm",
+            "files": [
+                "https://github.com/45uee/ComfyUI-Color_Transfer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/45uee/ComfyUI-Color_Transfer",
+            "title": "ComfyUI-Color_Transfer"
+        },
+        {
+            "author": "Phando",
+            "description": "A collection of nodes to help streamline your ComfyUI workflows",
+            "files": [
+                "https://github.com/Phando/ComfyUI-PhandoNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Phando/ComfyUI-PhandoNodes",
+            "title": "ComfyUI-PhandoNodes"
+        },
+        {
+            "author": "geocine",
+            "description": "NODES:Image Selector (geocine), Image Scale (geocine)",
+            "files": [
+                "https://github.com/geocine/geocine-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/geocine/geocine-comfyui",
+            "title": "geocine-comfyui"
+        },
+        {
+            "author": "SeanScripts",
+            "description": "For unloading a model or all models, using the memory management that is already present in ComfyUI. Copied from [a/https://github.com/willblaschko/ComfyUI-Unload-Models](https://github.com/willblaschko/ComfyUI-Unload-Models) but without the unnecessary extra stuff.",
+            "files": [
+                "https://github.com/SeanScripts/ComfyUI-Unload-Model"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SeanScripts/ComfyUI-Unload-Model",
+            "title": "ComfyUI-Unload-Model"
+        },
+        {
+            "author": "ExterminanzHS",
+            "description": "Custom nodes for ComfyUI to automatically send generated images to Discord channels.",
+            "files": [
+                "https://github.com/ExterminanzHS/Gecco-Discord-Autosend"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ExterminanzHS/Gecco-Discord-Autosend",
+            "title": "Gecco Discord Autosend"
+        },
+        {
+            "author": "Hugo",
+            "description": "This repository wraps the latest BiRefNet model as ComfyUI nodes. Compared to the previous model, the latest model offers higher and better matting accuracy.",
+            "files": [
+                "https://github.com/MoonHugo/ComfyUI-BiRefNet-Hugo"
+            ],
+            "id": "BiRefNet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MoonHugo/ComfyUI-BiRefNet-Hugo",
+            "title": "ComfyUI-BiRefNet-Hugo"
+        },
+        {
+            "author": "GrenKain",
+            "description": "This repository provides custom nodes for ComfyUI that enable pixel art style image processing, including downscaling, upscaling, color quantization, and resolution adjustments.",
+            "files": [
+                "https://github.com/GrenKain/PixelArt-Processing-Nodes-for-ComfyUI"
+            ],
+            "id": "gk_pixelart",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GrenKain/PixelArt-Processing-Nodes-for-ComfyUI",
+            "title": "PixelArt Processing Nodes"
+        },
+        {
+            "author": "Trgtuan10",
+            "description": "NODES:Object Mask.\nNOTE:push [a/yolov8x-seg.pt](https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8x-seg.pt) in models/yolo",
+            "files": [
+                "https://github.com/Trgtuan10/ComfyUI_YoloSegment_Mask"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Trgtuan10/ComfyUI_YoloSegment_Mask",
+            "title": "ComfyUI_YoloSegment_Mask"
+        },
+        {
+            "author": "lldacing",
+            "description": "NODES:AutoDownloadBiRefNetModel, LoadRembgByBiRefNetModel, RembgByBiRefNet.",
+            "files": [
+                "https://github.com/lldacing/ComfyUI_BiRefNet_ll"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lldacing/ComfyUI_BiRefNet_ll",
+            "title": "ComfyUI_BiRefNet_ll"
+        },
+        {
+            "author": "Tenney95",
+            "description": "ComfyUI-NodeAligner is a lightweight ComfyUI layout plugin that includes features such as node alignment, distribution, and resizing. This plugin is designed to simplify layout adjustments in visual node editors or custom UI components, making node arrangement more convenient and efficient.",
+            "files": [
+                "https://github.com/Tenney95/ComfyUI-NodeAligner"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Tenney95/ComfyUI-NodeAligner",
+            "title": "ComfyUI-NodeAligner"
+        },
+        {
+            "author": "VykosX",
+            "description": "Custom nodes to improve flow control and logic + several utilities to enhance capabilities",
+            "files": [
+                "https://github.com/VykosX/ControlFlowUtils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/VykosX/ControlFlowUtils",
+            "title": "ControlFlowUtils"
+        },
+        {
+            "author": "tachyon-beep",
+            "description": "A lightweight image tray forked from Comfy-UI-CustomScripts with simple sorting, positioning and filtering options.",
+            "files": [
+                "https://github.com/tachyon-beep/comfyui-simplefeed"
+            ],
+            "id": "simplefeed",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tachyon-beep/comfyui-simplefeed",
+            "title": "ComfyUI Simple Feed"
+        },
+        {
+            "author": "alexisrolland",
+            "description": "Custom nodes to run microsoft/Phi models.",
+            "files": [
+                "https://github.com/alexisrolland/ComfyUI-Phi"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/alexisrolland/ComfyUI-Phi",
+            "title": "ComfyUI-Phi"
+        },
+        {
+            "author": "LatentRat",
+            "description": "Nodes to run nodes on remote ComfyUI instances.",
+            "files": [
+                "https://github.com/LatentRat/comfy_remote_run"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/LatentRat/comfy_remote_run",
+            "title": "comfy_remote_run"
+        },
+        {
+            "author": "Ser-Hilary",
+            "description": "Nodes:sizing_node. Size calculation node related to image size in prompts supported by SDXL.",
+            "files": [
+                "https://github.com/Ser-Hilary/SDXL_sizing/raw/main/conditioning_sizing_for_SDXL.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/Ser-Hilary/SDXL_sizing",
+            "title": "SDXL_sizing"
+        },
+        {
+            "author": "ailex000",
+            "description": "Custom javascript extensions for better UX for ComfyUI. Supported nodes: PreviewImage, SaveImage. Double click on image to open.",
+            "files": [
+                "https://github.com/ailex000/ComfyUI-Extensions/raw/main/image-gallery/imageGallery.js"
+            ],
+            "install_type": "copy",
+            "js_path": "image-gallery",
+            "reference": "https://github.com/ailex000/ComfyUI-Extensions",
+            "title": "Image Gallery"
+        },
+        {
+            "author": "rock-land",
+            "description": "ComfyUI Web Extension for saving views and navigating graphs.",
+            "files": [
+                "https://github.com/rock-land/graphNavigator/raw/main/graphNavigator/graphNavigator.js"
+            ],
+            "install_type": "copy",
+            "js_path": "graphNavigator",
+            "reference": "https://github.com/rock-land/graphNavigator",
+            "title": "graphNavigator"
+        },
+        {
+            "author": "diffus3",
+            "description": "Extensions: subgraph, setget, multiReroute",
+            "files": [
+                "https://github.com/diffus3/ComfyUI-extensions/raw/main/multiReroute/multireroute.js",
+                "https://github.com/diffus3/ComfyUI-extensions/raw/main/setget/setget.js"
+            ],
+            "install_type": "copy",
+            "js_path": "diffus3",
+            "reference": "https://github.com/diffus3/ComfyUI-extensions",
+            "title": "diffus3/ComfyUI-extensions"
+        },
+        {
+            "author": "m957ymj75urz",
+            "description": "Nodes: RawText, RawTextCLIPEncode, RawTextCombine, RawTextReplace, Extension: m957ymj75urz.colors",
+            "files": [
+                "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes/raw/main/clip-text-encode-split/clip_text_encode_split.py",
+                "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes/raw/main/colors/colors.js"
+            ],
+            "install_type": "copy",
+            "js_path": "m957ymj75urz",
+            "reference": "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes",
+            "title": "m957ymj75urz/ComfyUI-Custom-Nodes"
+        },
+        {
+            "author": "Bikecicle",
+            "description": "Some additional audio utilites for use on top of Sample Diffusion ComfyUI Extension",
+            "files": [
+                "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions/raw/main/EXT_AudioManipulation.py",
+                "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions/raw/main/EXT_VariationUtils.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions",
+            "title": "Waveform Extensions"
+        },
+        {
+            "author": "dawangraoming",
+            "description": "KSampler is provided, based on GPU random noise",
+            "files": [
+                "https://github.com/dawangraoming/ComfyUI_ksampler_gpu/raw/main/ksampler_gpu.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/dawangraoming/ComfyUI_ksampler_gpu",
+            "title": "KSampler GPU"
+        },
+        {
+            "author": "fitCorder",
+            "description": "fcFloatMatic is a custom module, that when configured correctly will increment through the lines generating you loras at different strengths. The JSON file will load the config.",
+            "files": [
+                "https://github.com/fitCorder/fcSuite/raw/main/fcSuite.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/fitCorder/fcSuite",
+            "title": "fcSuite"
+        },
+        {
+            "author": "lordgasmic",
+            "description": "Nodes:CLIPTextEncodeWithWildcards. This wildcard node is a wildcard node that operates based on the seed.",
+            "files": [
+                "https://github.com/lordgasmic/ComfyUI-Wildcards/raw/master/wildcards.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/lordgasmic/ComfyUI-Wildcards",
+            "title": "Wildcards"
+        },
+        {
+            "author": "throttlekitty",
+            "description": "A quick and easy ComfyUI custom node for setting SDXL-friendly aspect ratios.",
+            "files": [
+                "https://raw.githubusercontent.com/throttlekitty/SDXLCustomAspectRatio/main/SDXLAspectRatio.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/throttlekitty/SDXLCustomAspectRatio",
+            "title": "SDXLCustomAspectRatio"
+        },
+        {
+            "author": "s1dlx",
+            "description": "Advanced merging methods.",
+            "files": [
+                "https://github.com/s1dlx/comfy_meh/raw/main/meh.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/s1dlx/comfy_meh",
+            "title": "comfy_meh"
+        },
+        {
+            "author": "tudal",
+            "description": "Nodes: Prompt parser. ComfyUI extra nodes. Mostly prompt parsing.",
+            "files": [
+                "https://github.com/tudal/Hakkun-ComfyUI-nodes/raw/main/hakkun_nodes.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/tudal/Hakkun-ComfyUI-nodes",
+            "title": "Hakkun-ComfyUI-nodes"
+        },
+        {
+            "author": "SadaleNet",
+            "description": "Nodes: CLIPTextEncodeA1111, RerouteTextForCLIPTextEncodeA1111.",
+            "files": [
+                "https://github.com/SadaleNet/CLIPTextEncodeA1111-ComfyUI/raw/master/custom_nodes/clip_text_encoder_a1111.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/SadaleNet/CLIPTextEncodeA1111-ComfyUI",
+            "title": "ComfyUI A1111-like Prompt Custom Node Solution"
+        },
+        {
+            "author": "wsippel",
+            "description": "Nodes: SDXLResolutionPresets. Easy access to the officially supported resolutions, in both horizontal and vertical formats: 1024x1024, 1152x896, 1216x832, 1344x768, 1536x640",
+            "files": [
+                "https://github.com/wsippel/comfyui_ws/raw/main/sdxl_utility.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/wsippel/comfyui_ws",
+            "title": "SDXLResolutionPresets"
+        },
+        {
+            "author": "nicolai256",
+            "description": "Nodes: yugioh_Presets. by Nicolai256 inspired by throttlekitty SDXLAspectRatio",
+            "files": [
+                "https://github.com/nicolai256/comfyUI_Nodes_nicolai256/raw/main/yugioh-presets.py"
+            ],
+            "id": "nicoali256",
+            "install_type": "copy",
+            "reference": "https://github.com/nicolai256/comfyUI_Nodes_nicolai256",
+            "title": "comfyUI_Nodes_nicolai256"
+        },
+        {
+            "author": "Onierous",
+            "description": "Nodes: QRNG Node CSV. A node that takes in an array of random numbers from the ANU QRNG API and stores them locally for generating quantum random number noise_seeds in ComfyUI",
+            "files": [
+                "https://github.com/Onierous/QRNG_Node_ComfyUI/raw/main/qrng_node.py"
+            ],
+            "id": "qrng",
+            "install_type": "copy",
+            "reference": "https://github.com/Onierous/QRNG_Node_ComfyUI",
+            "title": "QRNG_Node_ComfyUI"
+        },
+        {
+            "author": "ntdviet",
+            "description": "Nodes:LatentGarbageCollector. This ComfyUI custom node flushes the GPU cache and empty cuda interprocess memory. It's helpfull for low memory environment such as the free Google Colab, especially when the workflow VAE decode latents of the size above 1500x1500.",
+            "files": [
+                "https://github.com/ntdviet/comfyui-ext/raw/main/custom_nodes/gcLatentTunnel/gcLatentTunnel.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/ntdviet/comfyui-ext",
+            "title": "ntdviet/comfyui-ext"
+        },
+        {
+            "author": "alkemann",
+            "description": "Nodes:Int to Text, Seed With Text, Save A1 Image.",
+            "files": [
+                "https://gist.github.com/alkemann/7361b8eb966f29c8238fd323409efb68/raw/f9605be0b38d38d3e3a2988f89248ff557010076/alkemann.py"
+            ],
+            "id": "alkemann",
+            "install_type": "copy",
+            "reference": "https://gist.github.com/alkemann/7361b8eb966f29c8238fd323409efb68",
+            "title": "alkemann nodes"
+        },
+        {
+            "author": "catscandrive",
+            "description": "Adds an Image Loader node that also shows images in subfolders of the default input directory",
+            "files": [
+                "https://github.com/catscandrive/comfyui-imagesubfolders/raw/main/loadImageWithSubfolders.py"
+            ],
+            "id": "imgsubfolders",
+            "install_type": "copy",
+            "reference": "https://github.com/catscandrive/comfyui-imagesubfolders",
+            "title": "Image loader with subfolders"
+        },
+        {
+            "author": "Smuzzies",
+            "description": "Nodes: Chatbox Overlay. Custom node for ComfyUI to add a text box over a processed image before save node.",
+            "files": [
+                "https://github.com/Smuzzies/comfyui_chatbox_overlay/raw/main/chatbox_overlay.py"
+            ],
+            "id": "chatbox-overlay",
+            "install_type": "copy",
+            "reference": "https://github.com/Smuzzies/comfyui_chatbox_overlay",
+            "title": "Chatbox Overlay node for ComfyUI"
+        },
+        {
+            "author": "CaptainGrock",
+            "description": "Nodes:Apply Invisible Watermark, Extract Watermark. Adds up to 12 characters encoded into an image that can be extracted.",
+            "files": [
+                "https://github.com/CaptainGrock/ComfyUIInvisibleWatermark/raw/main/Invisible%20Watermark.py"
+            ],
+            "id": "invisible-watermark-grock",
+            "install_type": "copy",
+            "reference": "https://github.com/CaptainGrock/ComfyUIInvisibleWatermark",
+            "title": "ComfyUIInvisibleWatermark"
+        },
+        {
+            "author": "LZC",
+            "description": "Nodes:tensor_trans_pil, Make Transparent mask, MergeImages, words_generatee, load_PIL image",
+            "files": [
+                "https://github.com/1shadow1/hayo_comfyui_nodes/raw/main/LZCNodes.py"
+            ],
+            "id": "lzcnodes",
+            "install_type": "copy",
+            "reference": "https://github.com/1shadow1/hayo_comfyui_nodes",
+            "title": "Hayo comfyui nodes"
+        },
+        {
+            "author": "underclockeddev",
+            "description": "A node which takes in x, y, width, height, total width, and total height, in order to accurately represent the area of an image which is covered by area-based conditioning.",
+            "files": [
+                "https://github.com/underclockeddev/ComfyUI-PreviewSubselection-Node/raw/master/preview_subselection.py"
+            ],
+            "id": "preview-subselection",
+            "install_type": "copy",
+            "reference": "https://github.com/underclockeddev/ComfyUI-PreviewSubselection-Node",
+            "title": "Preview Subselection Node for ComfyUI"
+        },
+        {
+            "author": "underclockeddev",
+            "description": "Nodes:BrevImage. ComfyUI Load Image From URL",
+            "files": [
+                "https://github.com/bkunbargi/BrevImage/raw/main/BrevLoadImage.py"
+            ],
+            "id": "brevimage",
+            "install_type": "copy",
+            "reference": "https://github.com/bkunbargi/BrevImage",
+            "title": "BrevImage"
+        },
+        {
+            "author": "jw782cn",
+            "description": "Extension to show random cat GIFs while queueing prompt.",
+            "files": [
+                "https://github.com/jw782cn/ComfyUI-Catcat"
+            ],
+            "id": "catcat",
+            "install_type": "copy",
+            "reference": "https://github.com/jw782cn/ComfyUI-Catcat",
+            "title": "ComfyUI-Catcat"
+        },
+        {
+            "author": "barckley75",
+            "description": "Nodes:TextToSpeech, phy_3_conditioning, SaveAudioToDaVinci, SaveImageToDaVinci.\nNOTE:In order to use DaVinci node you must have DaVinci Resolve Studio connected to the API. For more information check the help seciton in DaVinci Resolve Studio HELP>DOCUMENTATION>DEVELOPER. It will open a folder, search for scripting and the for README.txt file, the API documentation.",
+            "files": [
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/node_text_to_speech.py",
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/nodes_phy_3_contitioning.py",
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/save_audio_to_davinci.py",
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/save_image_to_davinci.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/barckley75/comfyUI_DaVinciResolve",
+            "title": "comfyUI_DaVinciResolve"
+        },
+        {
+            "author": "DannyStone1999",
+            "description": "Nodes:Depth2Mask",
+            "files": [
+                "https://github.com/DannyStone1999/ComfyUI-Depth2Mask/raw/main/Depth2Mask.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/DannyStone1999/ComfyUI-Depth2Mask",
+            "title": "ComfyUI-Depth2Mask"
+        },
+        {
+            "author": "Limbicnation",
+            "description": "A custom depth estimation node for ComfyUI using transformer models. It integrates depth estimation with automatic gamma correction, contrast adjustment, and edge detection, based on the [a/TransformDepth](https://github.com/Limbicnation/TransformDepth) repository.",
+            "files": [
+                "https://github.com/Limbicnation/ComfyUIDepthEstimation/raw/main/depth_estimation_node.py"
+            ],
+            "install_type": "copy",
+            "pip": [
+                "transformers"
+            ],
+            "reference": "https://github.com/Limbicnation/ComfyUIDepthEstimation",
+            "title": "ComfyUIDepthEstimation"
+        },
+        {
+            "author": "seghier",
+            "description": "Use LibreTranslation in ComfyUI [a/https://github.com/LibreTranslate/LibreTranslate](https://github.com/LibreTranslate/LibreTranslate)",
+            "files": [
+                "https://github.com/seghier/ComfyUI_LibreTranslate/raw/main/translate_node.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/seghier/ComfyUI_LibreTranslate",
+            "title": "ComfyUI_LibreTranslate"
+        },
+        {
+            "author": "ImmortalPie",
+            "description": "The PonySwitch node is a custom node for ComfyUI that modifies prompts based on a toggle switch and adds configurable pony tags.",
+            "files": [
+                "https://github.com/ImmortalPie/ComfyUI-PonySwitch/raw/main/PonySwitch.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/ImmortalPie/ComfyUI-PonySwitch",
+            "title": "PonySwitch Node"
+        },
+        {
+            "author": "theally",
+            "description": "Custom nodes for ComfyUI by TheAlly.",
+            "files": [
+                "https://civitai.com/api/download/models/25114",
+                "https://civitai.com/api/download/models/24679",
+                "https://civitai.com/api/download/models/24154",
+                "https://civitai.com/api/download/models/23884",
+                "https://civitai.com/api/download/models/23649",
+                "https://civitai.com/api/download/models/23467",
+                "https://civitai.com/api/download/models/23296"
+            ],
+            "id": "ally",
+            "install_type": "unzip",
+            "reference": "https://civitai.com/models/19625?modelVersionId=23296",
+            "title": "TheAlly's Custom Nodes"
+        },
+        {
+            "author": "xss",
+            "description": "Various image processing nodes.",
+            "files": [
+                "https://civitai.com/api/download/models/32717",
+                "https://civitai.com/api/download/models/47776",
+                "https://civitai.com/api/download/models/29772",
+                "https://civitai.com/api/download/models/31618",
+                "https://civitai.com/api/download/models/31591",
+                "https://civitai.com/api/download/models/29773",
+                "https://civitai.com/api/download/models/29774",
+                "https://civitai.com/api/download/models/29755",
+                "https://civitai.com/api/download/models/29750"
+            ],
+            "id": "xss",
+            "install_type": "unzip",
+            "reference": "https://civitai.com/models/24869/comfyui-custom-nodes-by-xss",
+            "title": "Custom Nodes by xss"
+        },
+        {
+            "author": "aimingfail",
+            "description": "This is a node to convert an image into a CMYK Halftone dot image.",
+            "files": [
+                "https://civitai.com/api/download/models/158997"
+            ],
+            "id": "img2halftone",
+            "install_type": "unzip",
+            "reference": "https://civitai.com/models/143293/image2halftone-node-for-comfyui",
+            "title": "Image2Halftone Node for ComfyUI"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/1514988643_custom-node-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/1514988643_custom-node-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..17d7cdf336341790ad904a52107c79648d396877
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/1514988643_custom-node-list.json
@@ -0,0 +1,14887 @@
+{
+    "custom_nodes": [
+        {
+            "author": "Dr.Lt.Data",
+            "description": "ComfyUI-Manager itself is also a custom node.",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-Manager"
+            ],
+            "id": "manager",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Manager",
+            "title": "ComfyUI-Manager"
+        },
+        {
+            "author": "Dr.Lt.Data",
+            "description": "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler.",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-Impact-Pack"
+            ],
+            "id": "impact",
+            "install_type": "git-clone",
+            "pip": [
+                "ultralytics"
+            ],
+            "preemptions": [
+                "SAMLoader"
+            ],
+            "reference": "https://github.com/ltdrdata/ComfyUI-Impact-Pack",
+            "title": "ComfyUI Impact Pack"
+        },
+        {
+            "author": "Dr.Lt.Data",
+            "description": "This extension provides various nodes to support Lora Block Weight and the Impact Pack. Provides many easily applicable regional features and applications for Variation Seed.",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-Inspire-Pack"
+            ],
+            "id": "inspire",
+            "install_type": "git-clone",
+            "nodename_pattern": "Inspire$",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Inspire-Pack",
+            "title": "ComfyUI Inspire Pack"
+        },
+        {
+            "author": "comfyanonymous",
+            "description": "Nodes: ModelSamplerTonemapNoiseTest, TonemapNoiseWithRescaleCFG, ReferenceOnlySimple, RescaleClassifierFreeGuidanceTest, ModelMergeBlockNumber, ModelMergeSDXL, ModelMergeSDXLTransformers, ModelMergeSDXLDetailedTransformers.",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_experiments"
+            ],
+            "id": "comfy-exp",
+            "install_type": "git-clone",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
+            "title": "ComfyUI_experiments"
+        },
+        {
+            "author": "comfyanonymous",
+            "description": "This node enables the best performance on NVIDIA RTX\u2122 Graphics Cards  (GPUs) for Stable Diffusion by leveraging NVIDIA TensorRT.",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_TensorRT"
+            ],
+            "id": "tensorrt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_TensorRT",
+            "title": "TensorRT Node for ComfyUI"
+        },
+        {
+            "author": "Stability-AI",
+            "description": "Nodes:Stability SD3, Stability Outpainting, Stability Search and Replace, Stability Image Core, Stability Inpainting, Stability Remove Background, Stability Creative Upscale.\nAdd API key to environment variable 'SAI_API_KEY'\nAlternatively you can write your API key to file 'sai_platform_key.txt'\nYou can also use and/or override the above by entering your API key in the 'api_key_override' field of each node.",
+            "files": [
+                "https://github.com/Stability-AI/ComfyUI-SAI_API"
+            ],
+            "id": "sai-api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Stability-AI/ComfyUI-SAI_API",
+            "title": "Stability API nodes for ComfyUI"
+        },
+        {
+            "author": "Stability-AI",
+            "description": "Nodes: ColorBlend, ControlLoraSave, GetImageSize. NOTE: Control-LoRA recolor example uses these nodes.",
+            "files": [
+                "https://github.com/Stability-AI/stability-ComfyUI-nodes"
+            ],
+            "id": "sai-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Stability-AI/stability-ComfyUI-nodes",
+            "title": "stability-ComfyUI-nodes"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "Plug-and-play ComfyUI node sets for making ControlNet hint images.",
+            "files": [
+                "https://github.com/Fannovel16/comfyui_controlnet_aux"
+            ],
+            "id": "comfyui_controlnet_aux",
+            "install_type": "git-clone",
+            "preemptions": [
+                "AIO_Preprocessor",
+                "AnimalPosePreprocessor",
+                "AnimeFace_SemSegPreprocessor",
+                "AnimeLineArtPreprocessor",
+                "BAE-NormalMapPreprocessor",
+                "BinaryPreprocessor",
+                "CannyEdgePreprocessor",
+                "ColorPreprocessor",
+                "DSINE-NormalMapPreprocessor",
+                "DWPreprocessor",
+                "DensePosePreprocessor",
+                "DepthAnythingPreprocessor",
+                "DiffusionEdge_Preprocessor",
+                "FacialPartColoringFromPoseKps",
+                "FakeScribblePreprocessor",
+                "HEDPreprocessor",
+                "HintImageEnchance",
+                "ImageGenResolutionFromImage",
+                "ImageGenResolutionFromLatent",
+                "ImageIntensityDetector",
+                "ImageLuminanceDetector",
+                "InpaintPreprocessor",
+                "LeReS-DepthMapPreprocessor",
+                "LineArtPreprocessor",
+                "LineartStandardPreprocessor",
+                "M-LSDPreprocessor",
+                "Manga2Anime_LineArt_Preprocessor",
+                "MaskOptFlow",
+                "MediaPipe-FaceMeshPreprocessor",
+                "MeshGraphormer-DepthMapPreprocessor",
+                "MiDaS-DepthMapPreprocessor",
+                "MiDaS-NormalMapPreprocessor",
+                "OneFormer-ADE20K-SemSegPreprocessor",
+                "OneFormer-COCO-SemSegPreprocessor",
+                "OpenposePreprocessor",
+                "PiDiNetPreprocessor",
+                "PixelPerfectResolution",
+                "SAMPreprocessor",
+                "SavePoseKpsAsJsonFile",
+                "ScribblePreprocessor",
+                "Scribble_XDoG_Preprocessor",
+                "SemSegPreprocessor",
+                "ShufflePreprocessor",
+                "TEEDPreprocessor",
+                "TilePreprocessor",
+                "UniFormer-SemSegPreprocessor",
+                "Unimatch_OptFlowPreprocessor",
+                "Zoe-DepthMapPreprocessor",
+                "Zoe_DepthAnythingPreprocessor"
+            ],
+            "reference": "https://github.com/Fannovel16/comfyui_controlnet_aux",
+            "title": "ComfyUI's ControlNet Auxiliary Preprocessors"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "A custom node suite for Video Frame Interpolation in ComfyUI",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-Frame-Interpolation"
+            ],
+            "id": "frame-interpolation",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fannovel16/ComfyUI-Frame-Interpolation",
+            "title": "ComfyUI Frame Interpolation"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "A collection of nodes which can be useful for animation in ComfyUI. The main focus of this extension is implementing a mechanism called loopchain. A loopchain in this case is the chain of nodes only executed repeatly in the workflow. If a node chain contains a loop node from this extension, it will become a loop chain.",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-Loopchain"
+            ],
+            "id": "loopchain",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fannovel16/ComfyUI-Loopchain",
+            "title": "ComfyUI Loopchain"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "Implementation of MDM, MotionDiffuse and ReMoDiffuse into ComfyUI.",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-MotionDiff"
+            ],
+            "id": "motiondiff",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fannovel16/ComfyUI-MotionDiff",
+            "title": "ComfyUI MotionDiff"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "A minimalistic implementation of [a/Robust Video Matting (RVM)](https://github.com/PeterL1n/RobustVideoMatting/) in ComfyUI",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-Video-Matting"
+            ],
+            "id": "video-matting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fannovel16/ComfyUI-Video-Matting",
+            "title": "ComfyUI-Video-Matting"
+        },
+        {
+            "author": "Fannovel16",
+            "description": "Proper implementation of ImageMagick - the famous software suite for editing and manipulating digital images to ComfyUI using [a/wandpy](https://github.com/emcconville/wand).\nNOTE: You need to install ImageMagick, manually.",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-MagickWand"
+            ],
+            "id": "magicwand",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fannovel16/ComfyUI-MagickWand",
+            "title": "ComfyUI-MagickWand"
+        },
+        {
+            "author": "time-river",
+            "description": "The CLIPSeg node generates a binary mask for a given input image and text prompt.\nNOTE:This custom node is a forked custom node with hotfixes applied from the [a/original repository](https://github.com/biegert/ComfyUI-CLIPSeg), which is no longer maintained.",
+            "files": [
+                "https://github.com/time-river/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py"
+            ],
+            "id": "clipseg",
+            "install_type": "copy",
+            "reference": "https://github.com/time-river/ComfyUI-CLIPSeg",
+            "title": "CLIPSeg"
+        },
+        {
+            "author": "BlenderNeko",
+            "description": "These custom nodes provides features that allow for better control over the effects of the text prompt.",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_Cutoff"
+            ],
+            "id": "cutoff",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_Cutoff",
+            "title": "ComfyUI Cutoff"
+        },
+        {
+            "author": "BlenderNeko",
+            "description": "Advanced CLIP Text Encode (if you need A1111 like prompt. you need this. But Cutoff node includes this feature, already.)",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb"
+            ],
+            "id": "adv-encode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb",
+            "title": "Advanced CLIP Text Encode"
+        },
+        {
+            "author": "BlenderNeko",
+            "description": "This extension contains 6 nodes for ComfyUI that allows for more control and flexibility over the noise.",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_Noise"
+            ],
+            "id": "comfy-noise",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_Noise",
+            "title": "ComfyUI Noise"
+        },
+        {
+            "author": "BlenderNeko",
+            "description": "This extension contains a tiled sampler for ComfyUI. It allows for denoising larger images by splitting it up into smaller tiles and denoising these. It tries to minimize any seams for showing up in the end result by gradually denoising all tiles one step at the time and randomizing tile positions for every step.",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_TiledKSampler"
+            ],
+            "id": "tiled-sampling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_TiledKSampler",
+            "title": "Tiled sampling for ComfyUI"
+        },
+        {
+            "author": "BlenderNeko",
+            "description": "It provides the capability to generate CLIP from an image input, unlike unCLIP, which works in all models. (To use this extension, you need to download the required model file from **Install Models**)",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_SeeCoder"
+            ],
+            "id": "seecoder",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_SeeCoder",
+            "title": "SeeCoder [WIP]"
+        },
+        {
+            "author": "jags111",
+            "description": "A collection of ComfyUI custom nodes to help streamline workflows and reduce total node count.[w/NOTE: This node is originally created by LucianoCirino, but the [a/original repository](https://github.com/LucianoCirino/efficiency-nodes-comfyui) is no longer maintained and has been forked by a new maintainer. To use the forked version, you should uninstall the original version and **REINSTALL** this one.]",
+            "files": [
+                "https://github.com/jags111/efficiency-nodes-comfyui"
+            ],
+            "id": "eff-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jags111/efficiency-nodes-comfyui",
+            "title": "Efficiency Nodes for ComfyUI Version 2.0+"
+        },
+        {
+            "author": "jags111",
+            "description": "a collection of nodes to explore Vector and image manipulation",
+            "files": [
+                "https://github.com/jags111/ComfyUI_Jags_VectorMagic"
+            ],
+            "id": "vectormagic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jags111/ComfyUI_Jags_VectorMagic",
+            "title": "Jags_VectorMagic"
+        },
+        {
+            "author": "jags111",
+            "description": "This extension offers various audio generation tools",
+            "files": [
+                "https://github.com/jags111/ComfyUI_Jags_Audiotools"
+            ],
+            "id": "audiotools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jags111/ComfyUI_Jags_Audiotools",
+            "title": "Jags_Audiotools"
+        },
+        {
+            "author": "Derfuu",
+            "description": "Automate calculation depending on image sizes or something you want.",
+            "files": [
+                "https://github.com/Derfuu/Derfuu_ComfyUI_ModdedNodes"
+            ],
+            "id": "derfuu",
+            "install_type": "git-clone",
+            "nodename_pattern": "^DF_",
+            "reference": "https://github.com/Derfuu/Derfuu_ComfyUI_ModdedNodes",
+            "title": "Derfuu_ComfyUI_ModdedNodes"
+        },
+        {
+            "apt_dependency": [
+                "rustc",
+                "cargo"
+            ],
+            "author": "paulo-coronado",
+            "description": "CLIPTextEncodeBLIP: This custom node provides a CLIP Encoder that is capable of receiving images as input.",
+            "files": [
+                "https://github.com/paulo-coronado/comfy_clip_blip_node"
+            ],
+            "id": "blip",
+            "install_type": "git-clone",
+            "reference": "https://github.com/paulo-coronado/comfy_clip_blip_node",
+            "title": "comfy_clip_blip_node"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "A node suite for ComfyUI with many new nodes, such as image processing, text processing, and more.",
+            "files": [
+                "https://github.com/WASasquatch/was-node-suite-comfyui"
+            ],
+            "id": "was",
+            "install_type": "git-clone",
+            "pip": [
+                "numba"
+            ],
+            "reference": "https://github.com/WASasquatch/was-node-suite-comfyui",
+            "title": "WAS Node Suite"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "Nodes: ModelMergeByPreset. Merge checkpoint models by preset",
+            "files": [
+                "https://github.com/WASasquatch/ComfyUI_Preset_Merger"
+            ],
+            "id": "preset-merger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/ComfyUI_Preset_Merger",
+            "title": "ComfyUI Preset Merger"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "Nodes: WAS_PFN_Latent. Perlin Power Fractal Noisey Latents",
+            "files": [
+                "https://github.com/WASasquatch/PPF_Noise_ComfyUI"
+            ],
+            "id": "ppf",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/PPF_Noise_ComfyUI",
+            "title": "PPF_Noise_ComfyUI"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "Power Noise Suite contains nodes centered around latent noise input, and diffusion, as well as latent adjustments.",
+            "files": [
+                "https://github.com/WASasquatch/PowerNoiseSuite"
+            ],
+            "id": "power-noise",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/PowerNoiseSuite",
+            "title": "Power Noise Suite for ComfyUI"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "This custom node provides advanced settings for FreeU.",
+            "files": [
+                "https://github.com/WASasquatch/FreeU_Advanced"
+            ],
+            "id": "freeu-adv",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/FreeU_Advanced",
+            "title": "FreeU_Advanced"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "Abstract Syntax Trees Evaluated Restricted Run (ASTERR) is a Python Script executor for ComfyUI. [w/Warning:ASTERR runs Python Code from a Web Interface! It is highly recommended to run this in a closed-off environment, as it could have potential security risks.]",
+            "files": [
+                "https://github.com/WASasquatch/ASTERR"
+            ],
+            "id": "asterr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/ASTERR",
+            "title": "ASTERR"
+        },
+        {
+            "author": "WASasquatch",
+            "description": "Nodes:Conditioning (Blend), Inpainting VAE Encode (WAS), VividSharpen. Experimental nodes, or other random extra helper nodes.",
+            "files": [
+                "https://github.com/WASasquatch/WAS_Extras"
+            ],
+            "id": "was-extras",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WASasquatch/WAS_Extras",
+            "title": "WAS_Extras"
+        },
+        {
+            "author": "SaltAI",
+            "description": "This repository is a collection of open-source nodes and workflows for ComfyUI, a dev tool that allows users to create node-based workflows often powered by various AI models to do pretty much anything.\nOur mission is to seamlessly connect people and organizations with the world\u2019s foremost AI innovations, anywhere, anytime. Our vision is to foster a flourishing AI ecosystem where the world\u2019s best developers can build and share their work, thereby redefining how software is made, pushing innovation forward, and ensuring as many people as possible can benefit from the positive promise of AI technologies.\nWe believe that ComfyUI is a powerful tool that can help us achieve our mission and vision, by enabling anyone to explore the possibilities and limitations of AI models in a visual and interactive way, without coding if desired.\nWe hope that by sharing our nodes and workflows, we can inspire and empower more people to create amazing AI-powered content with ComfyUI.",
+            "files": [
+                "https://github.com/get-salt-AI/SaltAI"
+            ],
+            "id": "saltai-open-resource",
+            "install_type": "git-clone",
+            "pip": [
+                "numba"
+            ],
+            "reference": "https://github.com/get-salt-AI/SaltAI",
+            "title": "SaltAI-Open-Resources"
+        },
+        {
+            "author": "SaltAI",
+            "description": "The project integrates the Retrieval Augmented Generation (RAG) tool [a/Llama-Index](https://www.llamaindex.ai/), [a/Microsoft's AutoGen](https://microsoft.github.io/autogen/), and [a/LlaVA-Next](https://github.com/LLaVA-VL/LLaVA-NeXT) with ComfyUI's adaptable node interface, enhancing the functionality and user experience of the platform.",
+            "files": [
+                "https://github.com/get-salt-AI/SaltAI_Language_Toolkit"
+            ],
+            "id": "saltai_language_toolkit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/get-salt-AI/SaltAI_Language_Toolkit",
+            "title": "SaltAI_Language_Toolkit"
+        },
+        {
+            "author": "omar92",
+            "description": "openAI suite, String suite, Latent Tools, Image Tools: These custom nodes provide expanded functionality for image and string processing, latent processing, as well as the ability to interface with models such as ChatGPT/DallE-2.\nNOTE: Currently, this extension does not support the new OpenAI API, leading to compatibility issues.",
+            "files": [
+                "https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92"
+            ],
+            "id": "qol",
+            "install_type": "git-clone",
+            "reference": "https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92",
+            "title": "Quality of life Suit:V2"
+        },
+        {
+            "author": "lilly1987",
+            "description": "These custom nodes provides a feature to insert arbitrary inputs through wildcards in the prompt. Additionally, this tool provides features that help simplify workflows, such as VAELoaderDecoder and SimplerSample.",
+            "files": [
+                "https://github.com/lilly1987/ComfyUI_node_Lilly"
+            ],
+            "id": "simle-wildcard",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lilly1987/ComfyUI_node_Lilly",
+            "title": "simple wildcard for ComfyUI"
+        },
+        {
+            "author": "sylym",
+            "description": "A node suite for ComfyUI that allows you to load image sequence and generate new image sequence with different styles or content.",
+            "files": [
+                "https://github.com/sylym/comfy_vid2vid"
+            ],
+            "id": "vid2vid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/sylym/comfy_vid2vid",
+            "title": "Vid2vid"
+        },
+        {
+            "author": "EllangoK",
+            "description": "A collection of post processing nodes for ComfyUI, simply download this repo and drag.",
+            "files": [
+                "https://github.com/EllangoK/ComfyUI-post-processing-nodes"
+            ],
+            "id": "post-processing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/EllangoK/ComfyUI-post-processing-nodes",
+            "title": "ComfyUI-post-processing-nodes"
+        },
+        {
+            "author": "LEv145",
+            "description": "This tool provides a viewer node that allows for checking multiple outputs in a grid, similar to the X/Y Plot extension.",
+            "files": [
+                "https://github.com/LEv145/images-grid-comfy-plugin"
+            ],
+            "id": "imagesgrid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/LEv145/images-grid-comfy-plugin",
+            "title": "ImagesGrid"
+        },
+        {
+            "author": "diontimmer",
+            "description": "Nodes: Pixel Sort, Swap Color Mode, Solid Color, Glitch This, Add Text To Image, Play Sound, Prettify Prompt, Generate Noise, Flatten Colors",
+            "files": [
+                "https://github.com/diontimmer/ComfyUI-Vextra-Nodes"
+            ],
+            "id": "vextra",
+            "install_type": "git-clone",
+            "reference": "https://github.com/diontimmer/ComfyUI-Vextra-Nodes",
+            "title": "ComfyUI-Vextra-Nodes"
+        },
+        {
+            "author": "CYBERLOOM-INC",
+            "description": "Provide various custom nodes for Latent, Sampling, Model, Loader, Image, Text. This is the fixed version of the original [a/ComfyUI-nodes-hnmr](https://github.com/hnmr293/ComfyUI-nodes-hnmr) by hnmr293.",
+            "files": [
+                "https://github.com/CYBERLOOM-INC/ComfyUI-nodes-hnmr"
+            ],
+            "id": "hnmr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/CYBERLOOM-INC/ComfyUI-nodes-hnmr",
+            "title": "ComfyUI-nodes-hnmr"
+        },
+        {
+            "author": "BadCafeCode",
+            "description": "This is a low-dependency node pack primarily dealing with masks. The author recommends using Impact-Pack instead (unless you specifically have trouble installing dependencies).",
+            "files": [
+                "https://github.com/BadCafeCode/masquerade-nodes-comfyui"
+            ],
+            "id": "masquerade",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BadCafeCode/masquerade-nodes-comfyui",
+            "title": "Masquerade Nodes"
+        },
+        {
+            "author": "guoyk93",
+            "description": "Nodes: YKImagePadForOutpaint, YKMaskToImage",
+            "files": [
+                "https://github.com/guoyk93/yk-node-suite-comfyui"
+            ],
+            "id": "yks",
+            "install_type": "git-clone",
+            "reference": "https://github.com/guoyk93/yk-node-suite-comfyui",
+            "title": "y.k.'s ComfyUI node suite"
+        },
+        {
+            "author": "Jcd1230",
+            "description": "Nodes: Image Remove Background (rembg)",
+            "files": [
+                "https://github.com/Jcd1230/rembg-comfyui-node"
+            ],
+            "id": "rembg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Jcd1230/rembg-comfyui-node",
+            "title": "Rembg Background Removal Node for ComfyUI"
+        },
+        {
+            "author": "YinBailiang",
+            "description": "Nodes: MergeBlockWeighted",
+            "files": [
+                "https://github.com/YinBailiang/MergeBlockWeighted_fo_ComfyUI"
+            ],
+            "id": "mbw",
+            "install_type": "git-clone",
+            "reference": "https://github.com/YinBailiang/MergeBlockWeighted_fo_ComfyUI",
+            "title": "MergeBlockWeighted_fo_ComfyUI"
+        },
+        {
+            "author": "trojblue",
+            "description": "Nodes: image_layering, color_correction, model_router",
+            "files": [
+                "https://github.com/trojblue/trNodes"
+            ],
+            "id": "trnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/trojblue/trNodes",
+            "title": "trNodes"
+        },
+        {
+            "author": "szhublox",
+            "description": "Auto-MBW for ComfyUI loosely based on sdweb-auto-MBW. Nodes: auto merge block weighted",
+            "files": [
+                "https://github.com/szhublox/ambw_comfyui"
+            ],
+            "id": "auto-mbw",
+            "install_type": "git-clone",
+            "reference": "https://github.com/szhublox/ambw_comfyui",
+            "title": "Auto-MBW"
+        },
+        {
+            "author": "city96",
+            "description": "Run ComfyUI workflows on multiple local GPUs/networked machines. Nodes: Remote images, Local Remote control",
+            "files": [
+                "https://github.com/city96/ComfyUI_NetDist"
+            ],
+            "id": "netdist",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/ComfyUI_NetDist",
+            "title": "ComfyUI_NetDist"
+        },
+        {
+            "author": "city96",
+            "description": "Custom node to convert the lantents between SDXL and SD v1.5 directly without the VAE decoding/encoding step.",
+            "files": [
+                "https://github.com/city96/SD-Latent-Interposer"
+            ],
+            "id": "latent-interposer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/SD-Latent-Interposer",
+            "title": "Latent-Interposer"
+        },
+        {
+            "author": "city96",
+            "description": "Nodes: LatentGaussianNoise, MathEncode. An experimental custom node that generates latent noise directly by utilizing the linear characteristics of the latent space.",
+            "files": [
+                "https://github.com/city96/SD-Advanced-Noise"
+            ],
+            "id": "adv-noise",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/SD-Advanced-Noise",
+            "title": "SD-Advanced-Noise"
+        },
+        {
+            "author": "city96",
+            "description": "Upscaling stable diffusion latents using a small neural network.",
+            "files": [
+                "https://github.com/city96/SD-Latent-Upscaler"
+            ],
+            "id": "latent-upscaler",
+            "install_type": "git-clone",
+            "pip": [
+                "huggingface-hub"
+            ],
+            "reference": "https://github.com/city96/SD-Latent-Upscaler",
+            "title": "SD-Latent-Upscaler"
+        },
+        {
+            "author": "city96",
+            "description": "Testbed for [a/DiT(Scalable Diffusion Models with Transformers)](https://github.com/facebookresearch/DiT). [w/None of this code is stable, expect breaking changes if for some reason you want to use this.]",
+            "files": [
+                "https://github.com/city96/ComfyUI_DiT"
+            ],
+            "id": "dit",
+            "install_type": "git-clone",
+            "pip": [
+                "huggingface-hub"
+            ],
+            "reference": "https://github.com/city96/ComfyUI_DiT",
+            "title": "ComfyUI_DiT [WIP]"
+        },
+        {
+            "author": "city96",
+            "description": "This extension currently has two sets of nodes - one set for editing the contrast/color of images and another set for saving images as 16 bit PNG files.",
+            "files": [
+                "https://github.com/city96/ComfyUI_ColorMod"
+            ],
+            "id": "colormod",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/ComfyUI_ColorMod",
+            "title": "ComfyUI_ColorMod"
+        },
+        {
+            "author": "city96",
+            "description": "This extension aims to add support for various random image diffusion models to ComfyUI.",
+            "files": [
+                "https://github.com/city96/ComfyUI_ExtraModels"
+            ],
+            "id": "extramodels",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/ComfyUI_ExtraModels",
+            "title": "Extra Models for ComfyUI"
+        },
+        {
+            "author": "city96",
+            "description": "GGUF Quantization support for native ComfyUI models\nThis is currently very much WIP. These custom nodes provide support for model files stored in the GGUF format popularized by llama.cpp.\nWhile quantization wasn't feasible for regular UNET models (conv2d), transformer/DiT models such as flux seem less affected by quantization. This allows running it in much lower bits per weight variable bitrate quants on low-end GPUs.",
+            "files": [
+                "https://github.com/city96/ComfyUI-GGUF"
+            ],
+            "id": "gguf",
+            "install_type": "git-clone",
+            "reference": "https://github.com/city96/ComfyUI-GGUF",
+            "title": "ComfyUI-GGUF"
+        },
+        {
+            "author": "SLAPaper",
+            "description": "A custom node for ComfyUI, which can select one or some of images from a batch.",
+            "files": [
+                "https://github.com/SLAPaper/ComfyUI-Image-Selector"
+            ],
+            "id": "image-selector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SLAPaper/ComfyUI-Image-Selector",
+            "title": "ComfyUI-Image-Selector"
+        },
+        {
+            "author": "SLAPaper",
+            "description": "the sampler introduced by [a/hallatore](https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8457)\ncode extracted from [a/smZNodes](https://github.com/shiimizu/ComfyUI_smZNodes).[w/NOTE:ComfyUI-dpmpp_2m_alt-Sampler is renamed to StableDiffusion-dpmpp_2m_alt-Sampler. Please reinstall.]",
+            "files": [
+                "https://github.com/SLAPaper/StableDiffusion-dpmpp_2m_alt-Sampler"
+            ],
+            "id": "dpmpp2m-alt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SLAPaper/StableDiffusion-dpmpp_2m_alt-Sampler",
+            "title": "StableDiffusion-dpmpp_2m_alt-Sampler"
+        },
+        {
+            "author": "flyingshutter",
+            "description": "Manipulation nodes for Image, Latent",
+            "files": [
+                "https://github.com/flyingshutter/As_ComfyUI_CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/flyingshutter/As_ComfyUI_CustomNodes",
+            "title": "As_ComfyUI_CustomNodes"
+        },
+        {
+            "author": "Zuellni",
+            "description": "Nodes: DeepFloyd, Filter, Select, Save, Decode, Encode, Repeat, Noise, Noise",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-Custom-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Zuellni/ComfyUI-Custom-Nodes",
+            "title": "Zuellni/ComfyUI-Custom-Nodes"
+        },
+        {
+            "author": "Zuellni",
+            "description": "Nodes: ExLlama Loader, ExLlama Generator.\nUsed to load 4-bit GPTQ Llama/2 models. You can find a lot of them over at [a/https://huggingface.co/TheBloke](https://huggingface.co/TheBloke)[w/NOTE: You need to manually install a pip package that suits your system. For example. If your system is 'Python3.10 + Windows + CUDA 11.8' then you need to install 'exllama-0.0.17+cu118-cp310-cp310-win_amd64.whl'. Available package files are [a/here](https://github.com/jllllll/exllama/releases)]",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-ExLlama"
+            ],
+            "id": "exllama",
+            "install_type": "git-clone",
+            "pip": [
+                "sentencepiece",
+                "https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu118-cp310-cp310-win_amd64.whl"
+            ],
+            "reference": "https://github.com/Zuellni/ComfyUI-ExLlama",
+            "title": "ComfyUI-ExLlama"
+        },
+        {
+            "author": "Zuellni",
+            "description": "A simple local text generator for ComfyUI utilizing [a/ExLlamaV2](https://github.com/turboderp/exllamav2).\n[w/NOTE:Manual package installation is required.]",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-ExLlama-Nodes"
+            ],
+            "id": "exllamav2",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Zuellni/ComfyUI-ExLlama-Nodes",
+            "title": "ComfyUI ExLlamaV2 Nodes"
+        },
+        {
+            "author": "Zuellni",
+            "description": "Image scoring nodes for ComfyUI using PickScore with a batch of images to predict which ones fit a given prompt the best.",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-PickScore-Nodes"
+            ],
+            "id": "pickscore",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Zuellni/ComfyUI-PickScore-Nodes",
+            "title": "ComfyUI PickScore Nodes"
+        },
+        {
+            "author": "AlekPet",
+            "description": "Nodes: PoseNode, PainterNode, TranslateTextNode, TranslateCLIPTextEncodeNode, DeepTranslatorTextNode, DeepTranslatorCLIPTextEncodeNode, ArgosTranslateTextNode, ArgosTranslateCLIPTextEncodeNode, PreviewTextNode.\n\nNOTE: Due to the dynamic nature of node name definitions, ComfyUI-Manager cannot recognize the node list from this extension. The Missing nodes and Badge features are not available for this extension.",
+            "files": [
+                "https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet"
+            ],
+            "id": "alekpet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet",
+            "title": "AlekPet/ComfyUI_Custom_Nodes_AlekPet"
+        },
+        {
+            "author": "pythongosssss",
+            "description": "A ComfyUI extension allowing the interrogation of booru tags from images.",
+            "files": [
+                "https://github.com/pythongosssss/ComfyUI-WD14-Tagger"
+            ],
+            "id": "wd14",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pythongosssss/ComfyUI-WD14-Tagger",
+            "title": "ComfyUI WD 1.4 Tagger"
+        },
+        {
+            "author": "pythongosssss",
+            "description": "This extension provides: Auto Arrange Graph, Workflow SVG, Favicon Status, Image Feed, Latent Upscale By, Lock Nodes & Groups, Lora Subfolders, Preset Text, Show Text, Touch Support, Link Render Mode, Locking, Node Finder, Quick Nodes, Show Image On Menu, Show Text, Workflow Managements, Custom Widget Default Values",
+            "files": [
+                "https://github.com/pythongosssss/ComfyUI-Custom-Scripts"
+            ],
+            "id": "pygos-script",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pythongosssss/ComfyUI-Custom-Scripts",
+            "title": "pythongosssss/ComfyUI-Custom-Scripts"
+        },
+        {
+            "author": "strimmlarn",
+            "description": "Nodes: CalculateAestheticScore, LoadAesteticModel, AesthetlcScoreSorter, ScoreToNumber",
+            "files": [
+                "https://github.com/strimmlarn/ComfyUI_Strimmlarns_aesthetic_score"
+            ],
+            "id": "aesthetic-score",
+            "install_type": "git-clone",
+            "js_path": "strimmlarn",
+            "reference": "https://github.com/strimmlarn/ComfyUI_Strimmlarns_aesthetic_score",
+            "title": "ComfyUI_Strimmlarns_aesthetic_score"
+        },
+        {
+            "author": "TinyTerra",
+            "description": "This extension offers various pipe nodes, extensive XYZ plotting, fullscreen image viewer based on node history, dynamic widgets, interface customization, and more.",
+            "files": [
+                "https://github.com/TinyTerra/ComfyUI_tinyterraNodes"
+            ],
+            "id": "ttn",
+            "install_type": "git-clone",
+            "nodename_pattern": "^ttN ",
+            "reference": "https://github.com/TinyTerra/ComfyUI_tinyterraNodes",
+            "title": "ComfyUI_tinyterraNodes"
+        },
+        {
+            "author": "Jordach",
+            "description": "Nodes: Plasma Noise, Random Noise, Greyscale Noise, Pink Noise, Brown Noise, Plasma KSampler",
+            "files": [
+                "https://github.com/Jordach/comfy-plasma"
+            ],
+            "id": "plasma",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Jordach/comfy-plasma",
+            "title": "comfy-plasma"
+        },
+        {
+            "author": "bvhari",
+            "description": "ComfyUI custom nodes to apply various image processing techniques.",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_ImageProcessing"
+            ],
+            "id": "imageprocessing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bvhari/ComfyUI_ImageProcessing",
+            "title": "ImageProcessing"
+        },
+        {
+            "author": "bvhari",
+            "description": "A novel weighting scheme for token vectors from CLIP. Allows a wider range of values for the weight. Inspired by Perp-Neg.",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_PerpWeight"
+            ],
+            "id": "perpweight",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bvhari/ComfyUI_PerpWeight",
+            "title": "ComfyUI_PerpWeight"
+        },
+        {
+            "author": "bvhari",
+            "description": "Scaled Uniform Noise for Ancestral and Stochastic samplers",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_SUNoise"
+            ],
+            "id": "sunoise",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bvhari/ComfyUI_SUNoise",
+            "title": "ComfyUI_SUNoise"
+        },
+        {
+            "author": "ssitu",
+            "description": "ComfyUI nodes for the Ultimate Stable Diffusion Upscale script by Coyote-A.",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_UltimateSDUpscale"
+            ],
+            "id": "usdu",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ssitu/ComfyUI_UltimateSDUpscale",
+            "title": "UltimateSDUpscale"
+        },
+        {
+            "author": "ssitu",
+            "description": "Unofficial ComfyUI nodes for restart sampling based on the paper 'Restart Sampling for Improving Generative Processes' ([a/paper](https://arxiv.org/abs/2306.14878), [a/repo](https://github.com/Newbeeer/diffusion_restart_sampling))",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_restart_sampling"
+            ],
+            "id": "restart-sampling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ssitu/ComfyUI_restart_sampling",
+            "title": "Restart Sampling"
+        },
+        {
+            "author": "ssitu",
+            "description": "ComfyUI nodes for the roop A1111 webui script.",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_roop"
+            ],
+            "id": "roop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ssitu/ComfyUI_roop",
+            "title": "ComfyUI roop"
+        },
+        {
+            "author": "ssitu",
+            "description": "ComfyUI nodes based on the paper [a/FABRIC: Personalizing Diffusion Models with Iterative Feedback](https://arxiv.org/abs/2307.10159) (Feedback via Attention-Based Reference Image Conditioning)",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_fabric"
+            ],
+            "id": "fabric",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ssitu/ComfyUI_fabric",
+            "title": "ComfyUI fabric"
+        },
+        {
+            "author": "space-nuko",
+            "description": "Modularized version of Disco Diffusion for use with ComfyUI.",
+            "files": [
+                "https://github.com/space-nuko/ComfyUI-Disco-Diffusion"
+            ],
+            "id": "disco",
+            "install_type": "git-clone",
+            "reference": "https://github.com/space-nuko/ComfyUI-Disco-Diffusion",
+            "title": "Disco Diffusion"
+        },
+        {
+            "author": "space-nuko",
+            "description": "A port of the openpose-editor extension for stable-diffusion-webui. NOTE: Requires [a/this ComfyUI patch](https://github.com/comfyanonymous/ComfyUI/pull/711) to work correctly",
+            "files": [
+                "https://github.com/space-nuko/ComfyUI-OpenPose-Editor"
+            ],
+            "id": "openpose-editor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/space-nuko/ComfyUI-OpenPose-Editor",
+            "title": "OpenPose Editor"
+        },
+        {
+            "author": "space-nuko",
+            "description": "NODES: Dynamic Prompts Text Encode, Feeling Lucky Text Encode, Output String",
+            "files": [
+                "https://github.com/space-nuko/nui-suite"
+            ],
+            "id": "nui",
+            "install_type": "git-clone",
+            "reference": "https://github.com/space-nuko/nui-suite",
+            "title": "nui suite"
+        },
+        {
+            "author": "Nourepide",
+            "description": "Allor is a plugin for ComfyUI with an emphasis on transparency and performance.",
+            "files": [
+                "https://github.com/Nourepide/ComfyUI-Allor"
+            ],
+            "id": "allor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nourepide/ComfyUI-Allor",
+            "title": "Allor Plugin"
+        },
+        {
+            "author": "melMass",
+            "description": "NODES: Face Swap, Film Interpolation, Latent Lerp, Int To Number, Bounding Box, Crop, Uncrop, ImageBlur, Denoise, ImageCompare, RGV to HSV, HSV to RGB, Color Correct, Modulo, Deglaze Image, Smart Step, ...",
+            "files": [
+                "https://github.com/melMass/comfy_mtb"
+            ],
+            "id": "mtb",
+            "install_type": "git-clone",
+            "nodename_pattern": "\\(mtb\\)$",
+            "reference": "https://github.com/melMass/comfy_mtb",
+            "title": "MTB Nodes"
+        },
+        {
+            "author": "xXAdonesXx",
+            "description": "Implementation of AutoGen inside ComfyUI. This repository is under development, and not everything is functioning correctly yet.",
+            "files": [
+                "https://github.com/xXAdonesXx/NodeGPT"
+            ],
+            "id": "nodegpt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/xXAdonesXx/NodeGPT",
+            "title": "NodeGPT"
+        },
+        {
+            "author": "Suzie1",
+            "description": "Custom nodes for SDXL and SD1.5 including Multi-ControlNet, LoRA, Aspect Ratio, Process Switches, and many more nodes. NOTE: Maintainer is changed to Suzie1 from RockOfFire. [w/Using an outdated version has resulted in reported issues with updates not being applied. Trying to reinstall the software is advised.]",
+            "files": [
+                "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes"
+            ],
+            "id": "comfyroll",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes",
+            "title": "Comfyroll Studio"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "ComfyUI extension that adds undo (and redo) functionality.",
+            "files": [
+                "https://github.com/bmad4ever/ComfyUI-Bmad-DirtyUndoRedo"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/ComfyUI-Bmad-DirtyUndoRedo",
+            "title": "ComfyUI-Bmad-DirtyUndoRedo"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "This custom node offers the following functionalities: API support for setting up API requests, computer vision primarily for masking or collages, and general utility to streamline workflow setup or implement essential missing features.",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_bmad_nodes"
+            ],
+            "id": "bmad",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/comfyui_bmad_nodes",
+            "title": "Bmad Nodes"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "Experimental sampler node. Sampling alternates between A and B inputs until only one remains, starting with A. B steps run over a 2x2 grid, where 3/4's of the grid are copies of the original input latent. When the optional mask is used, the region outside the defined roi is copied from the original latent at the end of every step.",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_ab_samplercustom"
+            ],
+            "id": "ab-sampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/comfyui_ab_samplercustom",
+            "title": "comfyui_ab_sampler"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "Given a set of lists, the node adjusts them so that when used as input to another node all the possible argument permutations are computed.",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_lists_cartesian_product"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/comfyui_lists_cartesian_product",
+            "title": "Lists Cartesian Product"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "An 'opinionated' Wave Function Collapse implementation with a set of nodes for comfyui",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_wfc_like"
+            ],
+            "id": "wfc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/comfyui_wfc_like",
+            "title": "comfyui_wfc_like"
+        },
+        {
+            "author": "bmad4ever",
+            "description": "image and latent quilting nodes for comfyui",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_quilting"
+            ],
+            "id": "quilting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bmad4ever/comfyui_quilting",
+            "title": "comfyui_quilting"
+        },
+        {
+            "author": "FizzleDorf",
+            "description": "Scheduled prompts, scheduled float/int values and wave function nodes for animations and utility. compatable with [a/framesync](https://www.framesync.xyz/) and [a/keyframe-string-generator](https://www.chigozie.co.uk/keyframe-string-generator/) for audio synced animations in Comfyui.",
+            "files": [
+                "https://github.com/FizzleDorf/ComfyUI_FizzNodes"
+            ],
+            "id": "fizz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FizzleDorf/ComfyUI_FizzNodes",
+            "title": "FizzNodes"
+        },
+        {
+            "author": "FizzleDorf",
+            "description": "A ComfyUI implementation of Facebook Meta's [a/AITemplate](https://github.com/facebookincubator/AITemplate) repo for faster inference using cpp/cuda. This new repo is behind the old version but is a much more stable foundation to keep AIT online. Please be patient as the repo will eventually include the same features as before.\nNOTE: You can find the old AIT extension in the legacy channel.",
+            "files": [
+                "https://github.com/FizzleDorf/ComfyUI-AIT"
+            ],
+            "id": "ait",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FizzleDorf/ComfyUI-AIT",
+            "title": "ComfyUI-AIT"
+        },
+        {
+            "author": "filipemeneses",
+            "description": "ComfyUI node that pixelizes images.",
+            "files": [
+                "https://github.com/filipemeneses/comfy_pixelization"
+            ],
+            "id": "pixelization",
+            "install_type": "git-clone",
+            "reference": "https://github.com/filipemeneses/comfy_pixelization",
+            "title": "Pixelization"
+        },
+        {
+            "author": "shiimizu",
+            "description": "Nodes such as CLIP Text Encode++ to achieve identical embeddings from stable-diffusion-webui for ComfyUI.",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI_smZNodes"
+            ],
+            "id": "smz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shiimizu/ComfyUI_smZNodes",
+            "title": "smZNodes"
+        },
+        {
+            "author": "shiimizu",
+            "description": "The extension enables large image drawing & upscaling with limited VRAM via the following techniques:\n1.Two SOTA diffusion tiling algorithms: [a/Mixture of Diffusers](https://github.com/albarji/mixture-of-diffusers) and [a/MultiDiffusion](https://github.com/omerbt/MultiDiffusion)\n2.pkuliyi2015's Tiled VAE algorithm.",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI-TiledDiffusion"
+            ],
+            "id": "tiled-diffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shiimizu/ComfyUI-TiledDiffusion",
+            "title": "Tiled Diffusion & VAE for ComfyUI"
+        },
+        {
+            "author": "shiimizu",
+            "description": "ComfyUI reference implementation for [a/PhotoMaker](https://github.com/TencentARC/PhotoMaker) models.\nNOTE: PhotoMaker V2 is supported.",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI-PhotoMaker-Plus"
+            ],
+            "id": "photomaker-plus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shiimizu/ComfyUI-PhotoMaker-Plus",
+            "title": "ComfyUI PhotoMaker Plus"
+        },
+        {
+            "author": "shiimizu",
+            "description": "ComfyUI node for Semantic-aware Guidance based on the [a/paper](https://arxiv.org/abs/2404.05384) 'Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance'",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI-semantic-aware-guidance"
+            ],
+            "id": "s-cfg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shiimizu/ComfyUI-semantic-aware-guidance",
+            "title": "Semantic-aware Guidance (S-CFG)"
+        },
+        {
+            "author": "ZaneA",
+            "description": "NODES: ImageRewardLoader, ImageRewardScore",
+            "files": [
+                "https://github.com/ZaneA/ComfyUI-ImageReward"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZaneA/ComfyUI-ImageReward",
+            "title": "ImageReward"
+        },
+        {
+            "author": "SeargeDP",
+            "description": "Custom nodes for easier use of SDXL in ComfyUI including an img2img workflow that utilizes both the base and refiner checkpoints.",
+            "files": [
+                "https://github.com/SeargeDP/SeargeSDXL"
+            ],
+            "id": "searge",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SeargeDP/SeargeSDXL",
+            "title": "SeargeSDXL"
+        },
+        {
+            "author": "SeargeDP",
+            "description": "A prompt-generator or prompt-improvement node for ComfyUI, utilizing the power of a language model to turn a provided text-to-image prompt into a more detailed and improved prompt.",
+            "files": [
+                "https://github.com/SeargeDP/ComfyUI_Searge_LLM"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SeargeDP/ComfyUI_Searge_LLM",
+            "title": "Searge-LLM for ComfyUI v1.0"
+        },
+        {
+            "author": "cubiq",
+            "description": "custom node for ComfyUI to perform simple math operations",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_SimpleMath"
+            ],
+            "id": "simplemath",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cubiq/ComfyUI_SimpleMath",
+            "title": "Simple Math"
+        },
+        {
+            "author": "cubiq",
+            "description": "ComfyUI reference implementation for IPAdapter models. The code is mostly taken from the original IPAdapter repository and laksjdjf's implementation, all credit goes to them. I just made the extension closer to ComfyUI philosophy.",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_IPAdapter_plus"
+            ],
+            "id": "ipadapter",
+            "install_type": "git-clone",
+            "pip": [
+                "insightface"
+            ],
+            "preemptions": [
+                "IPAAdapterFaceIDBatch",
+                "IPAdapter",
+                "IPAdapterAdvanced",
+                "IPAdapterBatch",
+                "IPAdapterClipVisionEnhancer",
+                "IPAdapterClipVisionEnhancerBatch",
+                "IPAdapterCombineEmbeds",
+                "IPAdapterCombineParams",
+                "IPAdapterCombineWeights",
+                "IPAdapterEmbeds",
+                "IPAdapterEmbedsBatch",
+                "IPAdapterEncoder",
+                "IPAdapterFaceID",
+                "IPAdapterFromParams",
+                "IPAdapterInsightFaceLoader",
+                "IPAdapterLoadEmbeds",
+                "IPAdapterMS",
+                "IPAdapterModelLoader",
+                "IPAdapterNoise",
+                "IPAdapterPreciseComposition",
+                "IPAdapterPreciseCompositionBatch",
+                "IPAdapterPreciseStyleTransfer",
+                "IPAdapterPreciseStyleTransferBatch",
+                "IPAdapterPromptScheduleFromWeightsStrategy",
+                "IPAdapterRegionalConditioning",
+                "IPAdapterSaveEmbeds",
+                "IPAdapterStyleComposition",
+                "IPAdapterStyleCompositionBatch",
+                "IPAdapterTiled",
+                "IPAdapterTiledBatch",
+                "IPAdapterUnifiedLoader",
+                "IPAdapterUnifiedLoaderCommunity",
+                "IPAdapterUnifiedLoaderFaceID",
+                "IPAdapterWeights",
+                "IPAdapterWeightsFromStrategy",
+                "PrepImageForClipVision"
+            ],
+            "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus",
+            "title": "ComfyUI_IPAdapter_plus"
+        },
+        {
+            "author": "cubiq",
+            "description": "Native [a/InstantID](https://github.com/InstantID/InstantID) support for ComfyUI.\nThis extension differs from the many already available as it doesn't use diffusers but instead implements InstantID natively and it fully integrates with ComfyUI.\nPlease note this still could be considered beta stage, looking forward to your feedback.",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_InstantID"
+            ],
+            "id": "instantid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cubiq/ComfyUI_InstantID",
+            "title": "ComfyUI InstantID (Native Support)"
+        },
+        {
+            "author": "cubiq",
+            "description": "This extension uses [a/DLib](http://dlib.net/) to calculate the Euclidean and Cosine distance between two faces.\nNOTE: Install the Shape Predictor, Face Recognition model from the Install models menu.",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_FaceAnalysis"
+            ],
+            "id": "faceanalysis",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cubiq/ComfyUI_FaceAnalysis",
+            "title": "Face Analysis for ComfyUI"
+        },
+        {
+            "author": "cubiq",
+            "description": "[a/PuLID](https://github.com/ToTheBeginning/PuLID) ComfyUI native implementation.",
+            "files": [
+                "https://github.com/cubiq/PuLID_ComfyUI"
+            ],
+            "id": "pulid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cubiq/PuLID_ComfyUI",
+            "title": "PuLID_ComfyUI"
+        },
+        {
+            "author": "shockz0rz",
+            "description": "Nodes: Interpolate Poses, Interpolate Lineart, ... Custom nodes for interpolating between, well, everything in the Stable Diffusion ComfyUI.",
+            "files": [
+                "https://github.com/shockz0rz/ComfyUI_InterpolateEverything"
+            ],
+            "id": "interpolate-everything",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shockz0rz/ComfyUI_InterpolateEverything",
+            "title": "InterpolateEverything"
+        },
+        {
+            "author": "shockz0rz",
+            "description": "A set of custom nodes for creating image grids, sequences, and batches in ComfyUI.",
+            "files": [
+                "https://github.com/shockz0rz/comfy-easy-grids"
+            ],
+            "id": "easy-grids",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shockz0rz/comfy-easy-grids",
+            "title": "comfy-easy-grids"
+        },
+        {
+            "author": "yolanother",
+            "description": "Nodes: Prompt Agent, Prompt Agent (String). This script provides a prompt agent node for the Comfy UI stable diffusion client.",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyPromptAgent"
+            ],
+            "id": "prompt-agent",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIComfyPromptAgent",
+            "title": "Comfy UI Prompt Agent"
+        },
+        {
+            "author": "yolanother",
+            "description": "Nodes: Image URL to Text, Image to Text.",
+            "files": [
+                "https://github.com/yolanother/DTAIImageToTextNode"
+            ],
+            "id": "dta-img2txt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIImageToTextNode",
+            "title": "Image to Text Node"
+        },
+        {
+            "author": "yolanother",
+            "description": "Nodes: Submit Image (Parameters), Submit Image. A collection of loaders that use a shared common online data source rather than relying on the files to be present locally.",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyLoaders"
+            ],
+            "id": "dta-loader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIComfyLoaders",
+            "title": "Comfy UI Online Loaders"
+        },
+        {
+            "author": "yolanother",
+            "description": "A ComfyAI submit node to upload images to DoubTech.ai",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyImageSubmit"
+            ],
+            "id": "dta-submit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIComfyImageSubmit",
+            "title": "Comfy AI DoubTech.ai Image Sumission Node"
+        },
+        {
+            "author": "yolanother",
+            "description": "This extension introduces QR code nodes for the Comfy UI stable diffusion client. NOTE: ComfyUI qrcode extension required.",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyQRCodes"
+            ],
+            "id": "dta-qr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIComfyQRCodes",
+            "title": "Comfy UI QR Codes"
+        },
+        {
+            "author": "yolanother",
+            "description": "Nodes: String, Int, Float, Short String, CLIP Text Encode (With Variables), String Format, Short String Format. This extension introduces quality of life improvements by providing variable nodes and shared global variables.",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyVariables"
+            ],
+            "id": "dta-var",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolanother/DTAIComfyVariables",
+            "title": "Variables for Comfy UI"
+        },
+        {
+            "author": "sipherxyz",
+            "description": "Nodes: ImagesConcat, LoadImageFromUrl, AV_UploadImage",
+            "files": [
+                "https://github.com/sipherxyz/comfyui-art-venture"
+            ],
+            "id": "artventure",
+            "install_type": "git-clone",
+            "reference": "https://github.com/sipherxyz/comfyui-art-venture",
+            "title": "comfyui-art-venture"
+        },
+        {
+            "author": "SOELexicon",
+            "description": "Nodes: MSSqlTableNode, MSSqlSelectNode. This extension provides custom nodes to interact with MSSQL.",
+            "files": [
+                "https://github.com/SOELexicon/ComfyUI-LexMSDBNodes"
+            ],
+            "id": "lexmsdb",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SOELexicon/ComfyUI-LexMSDBNodes",
+            "title": "LexMSDBNodes"
+        },
+        {
+            "author": "pants007",
+            "description": "Nodes: Make Square Node, Interrogate Node, TextEncodeAIO",
+            "files": [
+                "https://github.com/pants007/comfy-pants"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/pants007/comfy-pants",
+            "title": "pants"
+        },
+        {
+            "author": "evanspearman",
+            "description": "Provides Math Nodes for ComfyUI. Boolean Logic, Integer Arithmetic, Floating Point Arithmetic and Functions, Vec2, Vec3, and Vec4 Arithmetic and Functions",
+            "files": [
+                "https://github.com/evanspearman/ComfyMath"
+            ],
+            "id": "comfymath",
+            "install_type": "git-clone",
+            "reference": "https://github.com/evanspearman/ComfyMath",
+            "title": "ComfyMath"
+        },
+        {
+            "author": "civitai",
+            "description": "Nodes: CivitAI_Loaders. Load Checkpoints, and LORA models directly from CivitAI API.",
+            "files": [
+                "https://github.com/civitai/comfy-nodes"
+            ],
+            "id": "civitai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/civitai/comfy-nodes",
+            "title": "comfy-nodes"
+        },
+        {
+            "author": "andersxa",
+            "description": "Nodes: CLIP Directional Prompt Attention Encode. Direction prompt attention tries to solve the problem of contextual words (or parts of the prompt) having an effect on much later or irrelevant parts of the prompt.",
+            "files": [
+                "https://github.com/andersxa/comfyui-PromptAttention"
+            ],
+            "id": "prompt-attention",
+            "install_type": "git-clone",
+            "pip": [
+                "scikit-learn",
+                "matplotlib"
+            ],
+            "reference": "https://github.com/andersxa/comfyui-PromptAttention",
+            "title": "CLIP Directional Prompt Attention"
+        },
+        {
+            "author": "ArtVentureX",
+            "description": "AnimateDiff integration for ComfyUI, adapts from sd-webui-animatediff.\n[w/You only need to download one of [a/mm_sd_v14.ckpt](https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v14.ckpt) | [a/mm_sd_v15.ckpt](https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15.ckpt). Put the model weights under %%ComfyUI/custom_nodes/comfyui-animatediff/models%%. DO NOT change model filename.]",
+            "files": [
+                "https://github.com/ArtVentureX/comfyui-animatediff"
+            ],
+            "install_type": "git-clone",
+            "pip": [
+                "flash_attn"
+            ],
+            "reference": "https://github.com/ArtVentureX/comfyui-animatediff",
+            "title": "AnimateDiff"
+        },
+        {
+            "author": "twri",
+            "description": "SDXL Prompt Styler is a node that enables you to style prompts based on predefined templates stored in a JSON file.",
+            "files": [
+                "https://github.com/twri/sdxl_prompt_styler"
+            ],
+            "id": "twri-styler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/twri/sdxl_prompt_styler",
+            "title": "SDXL Prompt Styler"
+        },
+        {
+            "author": "wolfden",
+            "description": "These custom nodes provide a variety of customized prompt stylers based on [a/twri/SDXL Prompt Styler](https://github.com/twri/sdxl_prompt_styler).",
+            "files": [
+                "https://github.com/wolfden/ComfyUi_PromptStylers"
+            ],
+            "id": "wolfden-styler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wolfden/ComfyUi_PromptStylers",
+            "title": "SDXL Prompt Styler (customized version by wolfden)"
+        },
+        {
+            "author": "wolfden",
+            "description": "This custom node provides the capability to manipulate multiple string inputs.",
+            "files": [
+                "https://github.com/wolfden/ComfyUi_String_Function_Tree"
+            ],
+            "id": "str-func-tree",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wolfden/ComfyUi_String_Function_Tree",
+            "title": "ComfyUi_String_Function_Tree"
+        },
+        {
+            "author": "daxthin",
+            "description": "Face Detailer is a custom node for the 'ComfyUI' framework inspired by !After Detailer extension from auto1111, it allows you to detect faces using Mediapipe and YOLOv8n to create masks for the detected faces.",
+            "files": [
+                "https://github.com/daxthin/DZ-FaceDetailer"
+            ],
+            "id": "dz-facedetailer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxthin/DZ-FaceDetailer",
+            "title": "DZ-FaceDetailer"
+        },
+        {
+            "author": "asagi4",
+            "description": "Nodes for convenient prompt editing. The aim is to make basic generations in ComfyUI completely prompt-controllable.",
+            "files": [
+                "https://github.com/asagi4/comfyui-prompt-control"
+            ],
+            "id": "prompt-control",
+            "install_type": "git-clone",
+            "reference": "https://github.com/asagi4/comfyui-prompt-control",
+            "title": "ComfyUI prompt control"
+        },
+        {
+            "author": "asagi4",
+            "description": "Attempts to implement [a/CADS](https://arxiv.org/abs/2310.17347) for ComfyUI. Credit also to the [a/A1111 implementation](https://github.com/v0xie/sd-webui-cads/tree/main) that I used as a reference.",
+            "files": [
+                "https://github.com/asagi4/ComfyUI-CADS"
+            ],
+            "id": "cads",
+            "install_type": "git-clone",
+            "reference": "https://github.com/asagi4/ComfyUI-CADS",
+            "title": "ComfyUI-CADS"
+        },
+        {
+            "author": "asagi4",
+            "description": "Nodes:MUJinjaRender, MUSimpleWildcard",
+            "files": [
+                "https://github.com/asagi4/comfyui-utility-nodes"
+            ],
+            "id": "asagi-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/asagi4/comfyui-utility-nodes",
+            "title": "asagi4/comfyui-utility-nodes"
+        },
+        {
+            "author": "asagi4",
+            "description": "An implementation of adaptive guidance for ComfyUI\nSee [a/https://bcv-uniandes.github.io/adaptiveguidance-wp](https://bcv-uniandes.github.io/adaptiveguidance-wp)",
+            "files": [
+                "https://github.com/asagi4/ComfyUI-Adaptive-Guidance"
+            ],
+            "id": "comfyui-adaptive-guidance",
+            "install_type": "git-clone",
+            "reference": "https://github.com/asagi4/ComfyUI-Adaptive-Guidance",
+            "title": "Adaptive Guidance for ComfyUI"
+        },
+        {
+            "author": "jamesWalker55",
+            "description": "Nodes: P2LDGAN. This integrates P2LDGAN into ComfyUI. P2LDGAN extracts lineart from input images.\n[w/To use this extension, you need to download the [a/p2ldgan model](https://drive.google.com/file/d/1To4V_Btc3QhCLBWZ0PdSNgC1cbm3isHP) and save it in the %%ComfyUI/custom_nodes/comfyui-p2ldgan/checkpoints%% directory.]",
+            "files": [
+                "https://github.com/jamesWalker55/comfyui-p2ldgan"
+            ],
+            "id": "p2ldgan",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jamesWalker55/comfyui-p2ldgan",
+            "title": "ComfyUI - P2LDGAN Node"
+        },
+        {
+            "author": "jamesWalker55",
+            "description": "Nodes: JWInteger, JWFloat, JWString, JWImageLoadRGB, JWImageResize, ...",
+            "files": [
+                "https://github.com/jamesWalker55/comfyui-various"
+            ],
+            "id": "jameswalker-nodes",
+            "install_type": "git-clone",
+            "nodename_pattern": "^JW",
+            "reference": "https://github.com/jamesWalker55/comfyui-various",
+            "title": "Various ComfyUI Nodes by Type"
+        },
+        {
+            "author": "adieyal",
+            "description": "Nodes: Random Prompts, Combinatorial Prompts, I'm Feeling Lucky, Magic Prompt, Jinja2 Templates. ComfyUI-DynamicPrompts is a custom nodes library that integrates into your existing ComfyUI Library. It provides nodes that enable the use of Dynamic Prompts in your ComfyUI.",
+            "files": [
+                "https://github.com/adieyal/comfyui-dynamicprompts"
+            ],
+            "id": "dynamicprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/adieyal/comfyui-dynamicprompts",
+            "title": "DynamicPrompts Custom Nodes"
+        },
+        {
+            "author": "mihaiiancu",
+            "description": "Nodes: InpaintMediapipe. This node provides a simple interface to inpaint.",
+            "files": [
+                "https://github.com/mihaiiancu/ComfyUI_Inpaint"
+            ],
+            "id": "inpaint",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mihaiiancu/ComfyUI_Inpaint",
+            "title": "mihaiiancu/Inpaint"
+        },
+        {
+            "author": "kwaroran",
+            "description": "Nodes: Remove Image Background (abg). A Anime Background Remover node for comfyui, based on this hf space, works same as AGB extention in automatic1111.",
+            "files": [
+                "https://github.com/kwaroran/abg-comfyui"
+            ],
+            "id": "abg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kwaroran/abg-comfyui",
+            "title": "abg-comfyui"
+        },
+        {
+            "author": "bash-j",
+            "description": "Nodes: Prompt With Style, Prompt With SDXL, Resize Image for SDXL, Save Image With Prompt Data, HaldCLUT, Empty Latent Ratio Select/Custom SDXL",
+            "files": [
+                "https://github.com/bash-j/mikey_nodes"
+            ],
+            "id": "mikey",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bash-j/mikey_nodes",
+            "title": "Mikey Nodes"
+        },
+        {
+            "author": "blib-la",
+            "description": "node color customization, custom colors, dot reroutes, link rendering options, straight lines, group freezing, node pinning, automated arrangement of nodes, copy image\n[w/failfast-comfyui-extensions is renamed to blibla-comfyui-extensions. Please resintall to this.]",
+            "files": [
+                "https://github.com/blib-la/blibla-comfyui-extensions"
+            ],
+            "id": "blibla-comfyui-extensions",
+            "install_type": "git-clone",
+            "reference": "https://github.com/blib-la/blibla-comfyui-extensions",
+            "title": "blibla-comfyui-extensions"
+        },
+        {
+            "author": "Pfaeff",
+            "description": "Nodes: AstropulsePixelDetector, BackgroundRemover, ImagePadForBetterOutpaint, InpaintingPipelineLoader, Inpainting, ...",
+            "files": [
+                "https://github.com/Pfaeff/pfaeff-comfyui"
+            ],
+            "id": "pfaeff",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Pfaeff/pfaeff-comfyui",
+            "title": "pfaeff-comfyui"
+        },
+        {
+            "author": "wallish77",
+            "description": "Nodes: Checkpoint Loader with Name, Save Prompt Info, Outpaint to Image, CLIP Positive-Negative, SDXL Quick Empty Latent, Empty Latent by Ratio, Time String, SDXL Steps, SDXL Resolutions ...",
+            "files": [
+                "https://github.com/wallish77/wlsh_nodes"
+            ],
+            "id": "wlsh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wallish77/wlsh_nodes",
+            "title": "wlsh_nodes"
+        },
+        {
+            "author": "Kosinkadink",
+            "description": "Nodes for scheduling ControlNet strength across timesteps and batched latents, as well as applying custom weights and attention masks.",
+            "files": [
+                "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet"
+            ],
+            "id": "adv-cnet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet",
+            "title": "ComfyUI-Advanced-ControlNet"
+        },
+        {
+            "author": "Kosinkadink",
+            "description": "A forked repository that actively maintains [a/AnimateDiff](https://github.com/ArtVentureX/comfyui-animatediff), created by ArtVentureX.\n\nImproved AnimateDiff integration for ComfyUI, adapts from sd-webui-animatediff.\n[w/Download one or more motion models from [a/Original Models](https://huggingface.co/guoyww/animatediff/tree/main) | [a/Finetuned Models](https://huggingface.co/manshoety/AD_Stabilized_Motion/tree/main). See README for additional model links and usage. Put the model weights under %%ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/models%%. You are free to rename the models, but keeping original names will ease use when sharing your workflow.]",
+            "files": [
+                "https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved"
+            ],
+            "id": "ad-evolved",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved",
+            "title": "AnimateDiff Evolved"
+        },
+        {
+            "author": "Kosinkadink",
+            "description": "Nodes related to video workflows",
+            "files": [
+                "https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite"
+            ],
+            "id": "vhs",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite",
+            "title": "ComfyUI-VideoHelperSuite"
+        },
+        {
+            "author": "Gourieff",
+            "description": "The Fast and Simple 'roop-like' Face Swap Extension Node for ComfyUI, based on ReActor (ex Roop-GE) SD-WebUI Face Swap Extension",
+            "files": [
+                "https://github.com/Gourieff/comfyui-reactor-node"
+            ],
+            "id": "reactor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Gourieff/comfyui-reactor-node",
+            "title": "ReActor Node for ComfyUI"
+        },
+        {
+            "author": "Gourieff",
+            "description": "This extension collapses 'future warning' messages in your Console",
+            "files": [
+                "https://github.com/Gourieff/ComfyUI-FutureWarningIgnore/raw/main/0_FutureWarningIgnore.py"
+            ],
+            "id": "futureignore",
+            "install_type": "copy",
+            "reference": "https://github.com/Gourieff/ComfyUI-FutureWarningIgnore",
+            "title": "ComfyUI-FutureWarningIgnore"
+        },
+        {
+            "author": "imb101",
+            "description": "Nodes:FaceSwapNode. Very basic custom node to enable face swapping in ComfyUI. (roop)",
+            "files": [
+                "https://github.com/imb101/ComfyUI-FaceSwap"
+            ],
+            "id": "faceswap",
+            "install_type": "git-clone",
+            "reference": "https://github.com/imb101/ComfyUI-FaceSwap",
+            "title": "FaceSwap"
+        },
+        {
+            "author": "Chaoses-Ib",
+            "description": "Nodes: LoadImageFromPath. Load Image From Path loads the image from the source path and does not have such problems.",
+            "files": [
+                "https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes"
+            ],
+            "id": "ib-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes",
+            "title": "ComfyUI_Ib_CustomNodes"
+        },
+        {
+            "author": "AIrjen",
+            "description": "One Button Prompt has a prompt generation node for beginners who have problems writing a good prompt, or advanced users who want to get inspired. It generates an entire prompt from scratch. It is random, but controlled. You simply load up the script and press generate, and let it surprise you.",
+            "files": [
+                "https://github.com/AIrjen/OneButtonPrompt"
+            ],
+            "id": "1button",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIrjen/OneButtonPrompt",
+            "title": "One Button Prompt"
+        },
+        {
+            "author": "coreyryanhanson",
+            "description": "QR generation within ComfyUI. Contains nodes suitable for workflows from generating basic QR images to techniques with advanced QR masking.",
+            "files": [
+                "https://github.com/coreyryanhanson/ComfyQR"
+            ],
+            "id": "comfyqr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/coreyryanhanson/ComfyQR",
+            "title": "ComfyQR"
+        },
+        {
+            "author": "coreyryanhanson",
+            "description": "A set of ComfyUI nodes to quickly test generated QR codes for scannability. A companion project to ComfyQR.",
+            "files": [
+                "https://github.com/coreyryanhanson/ComfyQR-scanning-nodes"
+            ],
+            "id": "comfyqr-scanning",
+            "install_type": "git-clone",
+            "reference": "https://github.com/coreyryanhanson/ComfyQR-scanning-nodes",
+            "title": "ComfyQR-scanning-nodes"
+        },
+        {
+            "author": "dimtoneff",
+            "description": "This node manipulates the pixel art image in ways that it should look pixel perfect (downscales, changes palette, upscales etc.).",
+            "files": [
+                "https://github.com/dimtoneff/ComfyUI-PixelArt-Detector"
+            ],
+            "id": "pixelart-detector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dimtoneff/ComfyUI-PixelArt-Detector",
+            "title": "ComfyUI PixelArt Detector"
+        },
+        {
+            "author": "dimtoneff",
+            "description": "Nodes: EagleImageNode",
+            "files": [
+                "https://github.com/hylarucoder/ComfyUI-Eagle-PNGInfo"
+            ],
+            "id": "eaglepnginfo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hylarucoder/ComfyUI-Eagle-PNGInfo",
+            "title": "Eagle PNGInfo"
+        },
+        {
+            "author": "theUpsider",
+            "description": "This extension allows users to load styles from a CSV file, primarily for migration purposes from the automatic1111 Stable Diffusion web UI.",
+            "files": [
+                "https://github.com/theUpsider/ComfyUI-Styles_CSV_Loader"
+            ],
+            "id": "styles-csv-loader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/theUpsider/ComfyUI-Styles_CSV_Loader",
+            "title": "Styles CSV Loader Extension for ComfyUI"
+        },
+        {
+            "author": "theUpsider",
+            "description": "An extension to ComfyUI that introduces logic nodes and conditional rendering capabilities.",
+            "files": [
+                "https://github.com/theUpsider/ComfyUI-Logic"
+            ],
+            "id": "comfy-logic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/theUpsider/ComfyUI-Logic",
+            "title": "ComfyUI-Logic"
+        },
+        {
+            "author": "M1kep",
+            "description": "Nodes: Range(Step), Range(Num Steps), List Length, Image Overlay, Stack Images, Empty Images, Join Image Lists, Join Float Lists. This extension provides various list manipulation nodes",
+            "files": [
+                "https://github.com/M1kep/Comfy_KepListStuff"
+            ],
+            "id": "keplist",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/Comfy_KepListStuff",
+            "title": "Comfy_KepListStuff"
+        },
+        {
+            "author": "M1kep",
+            "description": "Nodes: Int, Float, String, Operation, Checkpoint",
+            "files": [
+                "https://github.com/M1kep/ComfyLiterals"
+            ],
+            "id": "comfyliterals",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/ComfyLiterals",
+            "title": "ComfyLiterals"
+        },
+        {
+            "author": "M1kep",
+            "description": "Nodes: Build Gif, Special CLIP Loader. It offers various manipulation capabilities for the internal operations of the prompt.",
+            "files": [
+                "https://github.com/M1kep/KepPromptLang"
+            ],
+            "id": "kepprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/KepPromptLang",
+            "title": "KepPromptLang"
+        },
+        {
+            "author": "M1kep",
+            "description": "This extension provides a custom node that allows the use of [a/Matte Anything](https://github.com/hustvl/Matte-Anything) in ComfyUI.",
+            "files": [
+                "https://github.com/M1kep/Comfy_KepMatteAnything"
+            ],
+            "id": "kepmatte",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/Comfy_KepMatteAnything",
+            "title": "Comfy_KepMatteAnything"
+        },
+        {
+            "author": "M1kep",
+            "description": "Nodes: KepRotateImage",
+            "files": [
+                "https://github.com/M1kep/Comfy_KepKitchenSink"
+            ],
+            "id": "kepkitchen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/Comfy_KepKitchenSink",
+            "title": "Comfy_KepKitchenSink"
+        },
+        {
+            "author": "M1kep",
+            "description": "Nodes: TAESD VAE Decode",
+            "files": [
+                "https://github.com/M1kep/ComfyUI-OtherVAEs"
+            ],
+            "id": "kep-othervae",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/ComfyUI-OtherVAEs",
+            "title": "ComfyUI-OtherVAEs"
+        },
+        {
+            "author": "M1kep",
+            "description": "ComfyUI-KepOpenAI is a user-friendly node that serves as an interface to the GPT-4 with Vision (GPT-4V) API. This integration facilitates the processing of images coupled with text prompts, leveraging the capabilities of the OpenAI API to generate text completions that are contextually relevant to the provided inputs.",
+            "files": [
+                "https://github.com/M1kep/ComfyUI-KepOpenAI"
+            ],
+            "id": "kep-openai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/M1kep/ComfyUI-KepOpenAI",
+            "title": "ComfyUI-KepOpenAI"
+        },
+        {
+            "author": "uarefans",
+            "description": "Nodes: Fans Styler (Max 10 Style), Fans Text Concat (Until 10 text), Fans Prompt Styler Postive (Can replace {prompt} word in your csv files), Fans Prompt Styler Negative (With sentence structure).",
+            "files": [
+                "https://github.com/uarefans/ComfyUI-Fans"
+            ],
+            "id": "fans",
+            "install_type": "git-clone",
+            "reference": "https://github.com/uarefans/ComfyUI-Fans",
+            "title": "ComfyUI-Fans"
+        },
+        {
+            "author": "NicholasMcCarthy",
+            "description": "ComfyUI custom nodes to apply various latent travel techniques.",
+            "files": [
+                "https://github.com/NicholasMcCarthy/ComfyUI_TravelSuite"
+            ],
+            "id": "travel",
+            "install_type": "git-clone",
+            "reference": "https://github.com/NicholasMcCarthy/ComfyUI_TravelSuite",
+            "title": "ComfyUI_TravelSuite"
+        },
+        {
+            "author": "ManglerFTW",
+            "description": "A set of custom nodes to perform image 2 image functions in ComfyUI.",
+            "files": [
+                "https://github.com/ManglerFTW/ComfyI2I"
+            ],
+            "id": "comfyi2i",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ManglerFTW/ComfyI2I",
+            "title": "ComfyI2I"
+        },
+        {
+            "author": "mpiquero7164",
+            "description": "Save a png or jpeg and option to save prompt/workflow in a text or json file for each image in Comfy + Workflow loading.",
+            "files": [
+                "https://github.com/mpiquero7164/ComfyUI-SaveImgPrompt"
+            ],
+            "id": "save-imgprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mpiquero7164/ComfyUI-SaveImgPrompt",
+            "title": "SaveImgPrompt"
+        },
+        {
+            "author": "m-sokes",
+            "description": "Nodes: Empty Latent Randomizer (9 Inputs)",
+            "files": [
+                "https://github.com/m-sokes/ComfyUI-Sokes-Nodes"
+            ],
+            "id": "sokes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/m-sokes/ComfyUI-Sokes-Nodes",
+            "title": "ComfyUI Sokes Nodes"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "Nodes: NoisyLatentPerlin. This allows to create latent spaces filled with perlin-based noise that can actually be used by the samplers.",
+            "files": [
+                "https://github.com/Extraltodeus/noise_latent_perlinpinpin"
+            ],
+            "id": "perlipinpin",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/noise_latent_perlinpinpin",
+            "title": "noise latent perlinpinpin"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "Nodes:LoadLoraWithTags. Save/Load trigger words for loras from a json and auto fetch them on civitai if they are missing.",
+            "files": [
+                "https://github.com/Extraltodeus/LoadLoraWithTags"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/LoadLoraWithTags",
+            "title": "LoadLoraWithTags"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "A few nodes to mix sigmas and a custom scheduler that uses phi, then one using eval() to be able to schedule with custom formulas.",
+            "files": [
+                "https://github.com/Extraltodeus/sigmas_tools_and_the_golden_scheduler"
+            ],
+            "id": "sigmas-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/sigmas_tools_and_the_golden_scheduler",
+            "title": "sigmas_tools_and_the_golden_scheduler"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "My own version 'from scratch' of a self-rescaling CFG. It isn't much but it's honest work.\nTLDR: set your CFG at 8 to try it. No burned images and artifacts anymore. CFG is also a bit more sensitive because it's a proportion around 8. Low scale like 4 also gives really nice results since your CFG is not the CFG anymore. Also in general even with relatively low settings it seems to improve the quality.",
+            "files": [
+                "https://github.com/Extraltodeus/ComfyUI-AutomaticCFG"
+            ],
+            "id": "autocfg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/ComfyUI-AutomaticCFG",
+            "title": "ComfyUI-AutomaticCFG"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "The main node makes your conditioning go towards similar concepts so to enrich your composition or further away so to make it more precise. It gathers similar pre-cond vectors for as long as the cosine similarity score diminishes. If it climbs back it stops. This allows to set a relative direction to similar concepts.\nThere are examples at the end but [a/you can also check this imgur album](https://imgur.com/a/WvPd81Y) which demonstrates the capability of improving variety.",
+            "files": [
+                "https://github.com/Extraltodeus/Vector_Sculptor_ComfyUI"
+            ],
+            "id": "vector-sculptor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/Vector_Sculptor_ComfyUI",
+            "title": "Vector_Sculptor_ComfyUI"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "Provides the ability to set the temperature for both UNET and CLIP. For ComfyUI.",
+            "files": [
+                "https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings"
+            ],
+            "id": "sd-temperature",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings",
+            "title": "Stable-Diffusion-temperature-settings"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "Allows to sample without generating any uncond with Stable Diffusion!",
+            "files": [
+                "https://github.com/Extraltodeus/Uncond-Zero-for-ComfyUI"
+            ],
+            "id": "uncond-zero",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/Uncond-Zero-for-ComfyUI",
+            "title": "Uncond-Zero-for-ComfyUI"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "A set of nodes to prepare the noise predictions before the CFG function",
+            "files": [
+                "https://github.com/Extraltodeus/pre_cfg_comfy_nodes_for_ComfyUI"
+            ],
+            "id": "precfg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/pre_cfg_comfy_nodes_for_ComfyUI",
+            "title": "pre_cfg_comfy_nodes_for_ComfyUI"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "A powerful anti-burn allowing much higher CFG scales for latent diffusion models (for ComfyUI)",
+            "files": [
+                "https://github.com/Extraltodeus/Skimmed_CFG"
+            ],
+            "id": "skimmed-cfg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/Skimmed_CFG",
+            "title": "Skimmed_CFG"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "Heuristic modification of the Heun sampler using a custom function based on normalized distances. For ComfyUI.",
+            "files": [
+                "https://github.com/Extraltodeus/Skimmed_CFG"
+            ],
+            "id": "distancesampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/DistanceSampler",
+            "title": "DistanceSampler"
+        },
+        {
+            "author": "Extraltodeus",
+            "description": "These nodes are to edit the text vectors of CLIP models, so to customize how the prompts will be interpreted. You could see it as either customisation, 'one token prompt' up to some limitation and a way to mess with how the text will be interpreted. The edited CLIP can then be saved, or as well the edited tokens themselves. The shared example weights does not contain any image-knowledge but the text vector of the words affected.",
+            "files": [
+                "https://github.com/Extraltodeus/CLIP-Token-Injection"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Extraltodeus/CLIP-Token-Injection",
+            "title": "CLIP-Token-Injection"
+        },
+        {
+            "author": "JPS",
+            "description": "Nodes: Various nodes to handle SDXL Resolutions, SDXL Basic Settings, IP Adapter Settings, Revision Settings, SDXL Prompt Styler, Crop Image to Square, Crop Image to Target Size, Get Date-Time String, Resolution Multiply, Largest Integer, 5-to-1 Switches for Integer, Images, Latents, Conditioning, Model, VAE, ControlNet",
+            "files": [
+                "https://github.com/JPS-GER/ComfyUI_JPS-Nodes"
+            ],
+            "id": "jps-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JPS-GER/ComfyUI_JPS-Nodes",
+            "title": "JPS Custom Nodes for ComfyUI"
+        },
+        {
+            "author": "hustille",
+            "description": "ComfyUI nodes primarily for seed and filename generation",
+            "files": [
+                "https://github.com/hustille/ComfyUI_hus_utils"
+            ],
+            "id": "husutil",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hustille/ComfyUI_hus_utils",
+            "title": "hus' utils for ComfyUI"
+        },
+        {
+            "author": "hustille",
+            "description": "Nodes: KSampler With Refiner (Fooocus). The KSampler from [a/Fooocus](https://github.com/lllyasviel/Fooocus) as a ComfyUI node [w/NOTE: This patches basic ComfyUI behaviour - don't use together with other samplers. Or perhaps do? Other samplers might profit from those changes ... ymmv.]",
+            "files": [
+                "https://github.com/hustille/ComfyUI_Fooocus_KSampler"
+            ],
+            "id": "fooocus-ksampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hustille/ComfyUI_Fooocus_KSampler",
+            "title": "ComfyUI_Fooocus_KSampler"
+        },
+        {
+            "author": "badjeff",
+            "description": "A ComfyUI custom node to read LoRA tag(s) from text and load it into checkpoint model.",
+            "files": [
+                "https://github.com/badjeff/comfyui_lora_tag_loader"
+            ],
+            "id": "lora-tag-loader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/badjeff/comfyui_lora_tag_loader",
+            "title": "LoRA Tag Loader for ComfyUI"
+        },
+        {
+            "author": "rgthree",
+            "description": "Nodes: Seed, Reroute, Context, Lora Loader Stack, Context Switch, Fast Muter. These custom nodes helps organize the building of complex workflows.",
+            "files": [
+                "https://github.com/rgthree/rgthree-comfy"
+            ],
+            "id": "rgthree",
+            "install_type": "git-clone",
+            "nodename_pattern": " \\(rgthree\\)$",
+            "reference": "https://github.com/rgthree/rgthree-comfy",
+            "title": "rgthree's ComfyUI Nodes"
+        },
+        {
+            "author": "AIGODLIKE",
+            "description": "It provides language settings. (Contribution from users of various languages is needed due to the support for each language.)",
+            "files": [
+                "https://github.com/AIGODLIKE/AIGODLIKE-COMFYUI-TRANSLATION"
+            ],
+            "id": "translation",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIGODLIKE/AIGODLIKE-COMFYUI-TRANSLATION",
+            "title": "AIGODLIKE-COMFYUI-TRANSLATION"
+        },
+        {
+            "author": "AIGODLIKE",
+            "description": "Improve the interactive experience of using ComfyUI, such as making the loading of ComfyUI models more intuitive and making it easier to create model thumbnails",
+            "files": [
+                "https://github.com/AIGODLIKE/AIGODLIKE-ComfyUI-Studio"
+            ],
+            "id": "comfy-studio",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIGODLIKE/AIGODLIKE-ComfyUI-Studio",
+            "title": "AIGODLIKE-ComfyUI-Studio"
+        },
+        {
+            "author": "AIGODLIKE",
+            "description": "Bridge between ComfyUI and blender's ComfyUI-BlenderAI-node addon.",
+            "files": [
+                "https://github.com/AIGODLIKE/ComfyUI-CUP"
+            ],
+            "id": "comfycup",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIGODLIKE/ComfyUI-CUP",
+            "title": "ComfyUI-CUP"
+        },
+        {
+            "author": "AIGODLIKE",
+            "description": "This project is used to enable [a/ToonCrafter](https://github.com/ToonCrafter/ToonCrafter) to be used in ComfyUI.\nYou can use it to achieve generative keyframe animation\nAnd use it in Blender for animation rendering and prediction",
+            "files": [
+                "https://github.com/AIGODLIKE/ComfyUI-ToonCrafter"
+            ],
+            "id": "tooncrafter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIGODLIKE/ComfyUI-ToonCrafter",
+            "title": "ComfyUI-ToonCrafter"
+        },
+        {
+            "author": "syllebra",
+            "description": "Nodes: BilboX's PromptGeek Photo Prompt. This provides a convenient way to compose photorealistic prompts into ComfyUI. Post-Processing: adds various post processing effects. Bonus: Option to show a distant server shutdown menu.",
+            "files": [
+                "https://github.com/syllebra/bilbox-comfyui"
+            ],
+            "id": "bilbox",
+            "install_type": "git-clone",
+            "reference": "https://github.com/syllebra/bilbox-comfyui",
+            "title": "BilboX's ComfyUI Custom Nodes"
+        },
+        {
+            "author": "Girish Gopaul",
+            "description": "All the tools you need to save images with their generation metadata on ComfyUI. Compatible with Civitai & Prompthero geninfo auto-detection. Works with png, jpeg and webp.",
+            "files": [
+                "https://github.com/giriss/comfy-image-saver"
+            ],
+            "id": "image-saver",
+            "install_type": "git-clone",
+            "reference": "https://github.com/giriss/comfy-image-saver",
+            "title": "Save Image with Generation Metadata"
+        },
+        {
+            "author": "shingo1228",
+            "description": "Nodes:Send Webp Image to Eagle. This is an extension node for ComfyUI that allows you to send generated images in webp format to Eagle. This extension node is a re-implementation of the Eagle linkage functions of the previous ComfyUI-send-Eagle node, focusing on the functions required for this node.",
+            "files": [
+                "https://github.com/shingo1228/ComfyUI-send-eagle-slim"
+            ],
+            "id": "send-eagle",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shingo1228/ComfyUI-send-eagle-slim",
+            "title": "ComfyUI-send-Eagle(slim)"
+        },
+        {
+            "author": "shingo1228",
+            "description": "Nodes:SDXL Empty Latent Image. An extension node for ComfyUI that allows you to select a resolution from the pre-defined json files and output a Latent Image.",
+            "files": [
+                "https://github.com/shingo1228/ComfyUI-SDXL-EmptyLatentImage"
+            ],
+            "id": "sdxl-emptylatent",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shingo1228/ComfyUI-SDXL-EmptyLatentImage",
+            "title": "ComfyUI-SDXL-EmptyLatentImage"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "ComfyUI version of https://github.com/laksjdjf/pfg-webui. (To use this extension, you need to download the required model file from **Install Models**)",
+            "files": [
+                "https://github.com/laksjdjf/pfg-ComfyUI"
+            ],
+            "id": "pfg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/pfg-ComfyUI",
+            "title": "pfg-ComfyUI"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "The custom nodes of laksjdjf have been integrated into the node pack of cgem156\ud83c\udf4c.\nNOTE:This includes the attention couple feature.",
+            "files": [
+                "https://github.com/laksjdjf/cgem156-ComfyUI"
+            ],
+            "id": "cgem156",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/cgem156-ComfyUI",
+            "title": "cgem156-ComfyUI\ud83c\udf4c"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "Nodes:Apply CDTuner, Apply Negapip. This extension provides the [a/CD(Color/Detail) Tuner](https://github.com/hako-mikan/sd-webui-cd-tuner) and the [a/Negative Prompt in the Prompt](https://github.com/hako-mikan/sd-webui-negpip) features.",
+            "files": [
+                "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI"
+            ],
+            "id": "cdtuner",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI",
+            "title": "cd-tuner_negpip-ComfyUI"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "This extension node is intended for the use of LCM conversion for SSD-1B-anime. It does not guarantee operation with the original LCM (as it cannot load weights in the current version). To take advantage of fast generation with LCM, a node for using TAESD as a decoder is also provided. This is inspired by ComfyUI-OtherVAEs.",
+            "files": [
+                "https://github.com/laksjdjf/LCMSampler-ComfyUI"
+            ],
+            "id": "lcm-sampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/LCMSampler-ComfyUI",
+            "title": "LCMSampler-ComfyUI"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "This is a repository for using LoRTnoC (LoRA with hint block of ControlNet) on ComfyUI.\nNOTE:Please place the model file in the same location as controlnet. (Is this too arbitrary?)",
+            "files": [
+                "https://github.com/laksjdjf/LoRTnoC-ComfyUI"
+            ],
+            "id": "lortnoc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/LoRTnoC-ComfyUI",
+            "title": "LoRTnoC-ComfyUI"
+        },
+        {
+            "author": "laksjdjf",
+            "description": "Nodes:CLIP Text Encode (Batch), String Input, Batch String",
+            "files": [
+                "https://github.com/laksjdjf/Batch-Condition-ComfyUI"
+            ],
+            "id": "batch-condition",
+            "install_type": "git-clone",
+            "reference": "https://github.com/laksjdjf/Batch-Condition-ComfyUI",
+            "title": "Batch-Condition-ComfyUI"
+        },
+        {
+            "author": "alsritter",
+            "description": "Nodes:Asymmetric_Tiling_KSampler. ",
+            "files": [
+                "https://github.com/alsritter/asymmetric-tiling-comfyui"
+            ],
+            "id": "asymmetric",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alsritter/asymmetric-tiling-comfyui",
+            "title": "asymmetric-tiling-comfyui"
+        },
+        {
+            "author": "meap158",
+            "description": "Pause image generation when GPU temperature exceeds threshold.",
+            "files": [
+                "https://github.com/meap158/ComfyUI-GPU-temperature-protection"
+            ],
+            "id": "gputemp",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meap158/ComfyUI-GPU-temperature-protection",
+            "title": "GPU temperature protection"
+        },
+        {
+            "author": "meap158",
+            "description": "Dynamic prompt expansion, powered by GPT-2 locally on your device.",
+            "files": [
+                "https://github.com/meap158/ComfyUI-Prompt-Expansion"
+            ],
+            "id": "promtp-expansion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meap158/ComfyUI-Prompt-Expansion",
+            "title": "ComfyUI-Prompt-Expansion"
+        },
+        {
+            "author": "meap158",
+            "description": "Instantly replace your image's background.",
+            "files": [
+                "https://github.com/meap158/ComfyUI-Background-Replacement"
+            ],
+            "id": "bg-replacement",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meap158/ComfyUI-Background-Replacement",
+            "title": "ComfyUI-Background-Replacement"
+        },
+        {
+            "author": "TeaCrab",
+            "description": "Nodes:TC_EqualizeCLAHE, TC_SizeApproximation, TC_ImageResize, TC_ImageScale, TC_ColorFill.",
+            "files": [
+                "https://github.com/TeaCrab/ComfyUI-TeaNodes"
+            ],
+            "id": "teanodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TeaCrab/ComfyUI-TeaNodes",
+            "title": "ComfyUI-TeaNodes"
+        },
+        {
+            "author": "nagolinc",
+            "description": "Based off of: [a/Birch-san/diffusers-play/approx_vae](https://github.com/Birch-san/diffusers-play/tree/main/approx_vae). This ComfyUI node allows you to quickly preview SDXL 1.0 latents.",
+            "files": [
+                "https://github.com/nagolinc/ComfyUI_FastVAEDecorder_SDXL"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nagolinc/ComfyUI_FastVAEDecorder_SDXL",
+            "title": "ComfyUI_FastVAEDecorder_SDXL"
+        },
+        {
+            "author": "nagolinc",
+            "description": "This provides a single node openai > Open AI query node\nthat takes a system prompt and user message and sends them to chatGPT 3.5\nNote, you MUST have an OPEN AI API key stored in the environment variable OPENAI_API_KEY in order for this to work.",
+            "files": [
+                "https://github.com/nagolinc/comfyui_openai_node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nagolinc/comfyui_openai_node",
+            "title": "comfyui_openai_node"
+        },
+        {
+            "author": "bradsec",
+            "description": "A custom node for Stable Diffusion ComfyUI to enable easy selection of image resolutions for SDXL SD15 SD21",
+            "files": [
+                "https://github.com/bradsec/ComfyUI_ResolutionSelector"
+            ],
+            "id": "resolution-selector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bradsec/ComfyUI_ResolutionSelector",
+            "title": "ResolutionSelector for ComfyUI"
+        },
+        {
+            "author": "kohya-ss",
+            "description": "Nodes: LLLiteLoader",
+            "files": [
+                "https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI"
+            ],
+            "id": "lllite",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI",
+            "title": "ControlNet-LLLite-ComfyUI"
+        },
+        {
+            "author": "jjkramhoeft",
+            "description": "Nodes: SDXLRecommendedImageSize, JjkText, JjkShowText, JjkConcat. A set of custom nodes for ComfyUI - focused on text and parameter utility",
+            "files": [
+                "https://github.com/jjkramhoeft/ComfyUI-Jjk-Nodes"
+            ],
+            "id": "jjk",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jjkramhoeft/ComfyUI-Jjk-Nodes",
+            "title": "ComfyUI-Jjk-Nodes"
+        },
+        {
+            "author": "dagthomas",
+            "description": "Easy prompting for generation of endless random art pieces and photographs!",
+            "files": [
+                "https://github.com/dagthomas/comfyui_dagthomas"
+            ],
+            "id": "autoprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dagthomas/comfyui_dagthomas",
+            "title": "SDXL Auto Prompter"
+        },
+        {
+            "author": "marhensa",
+            "description": "Input your desired output final resolution, it will automaticaly set the initial recommended SDXL ratio/size and its Upscale Factor to reach that output final resolution, also there's an option for 2x/4x reverse Upscale Factor. These all to avoid using bad/arbitary initial ratio/resolution.",
+            "files": [
+                "https://github.com/marhensa/sdxl-recommended-res-calc"
+            ],
+            "id": "resoultion-calc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/marhensa/sdxl-recommended-res-calc",
+            "title": "Recommended Resolution Calculator"
+        },
+        {
+            "author": "Nuked",
+            "description": "A suite of custom nodes for ConfyUI that includes GPT text-prompt generation, LoadVideo,SaveVideo,LoadFramesFromFolder and FrameInterpolator",
+            "files": [
+                "https://github.com/Nuked88/ComfyUI-N-Nodes"
+            ],
+            "id": "nnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nuked88/ComfyUI-N-Nodes",
+            "title": "ComfyUI-N-Nodes"
+        },
+        {
+            "author": "Nuked",
+            "description": "A simple sidebar for ComfyUI.",
+            "files": [
+                "https://github.com/Nuked88/ComfyUI-N-Sidebar"
+            ],
+            "id": "nsidebar",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nuked88/ComfyUI-N-Sidebar",
+            "title": "ComfyUI-N-Sidebar"
+        },
+        {
+            "author": "richinsley",
+            "description": "Nodes:LFO_Triangle, LFO_Sine, SawtoothNode, SquareNode, PulseNode. ComfyUI custom nodes to create Low Frequency Oscillators.",
+            "files": [
+                "https://github.com/richinsley/Comfy-LFO"
+            ],
+            "id": "lfo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/richinsley/Comfy-LFO",
+            "title": "Comfy-LFO"
+        },
+        {
+            "author": "Beinsezii",
+            "description": "This contains all-in-one 'principled' nodes for T2I, I2I, refining, and scaling. Additionally it has many tools for directly manipulating the color of latents, high res fix math, and scripted image post-processing.",
+            "files": [
+                "https://github.com/Beinsezii/bsz-cui-extras"
+            ],
+            "id": "bsz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Beinsezii/bsz-cui-extras",
+            "title": "bsz-cui-extras"
+        },
+        {
+            "author": "youyegit",
+            "description": "Add Switch on nodes, Make nodes amount small! It helps conveniently to use less nodes for doing the same things.",
+            "files": [
+                "https://github.com/youyegit/tdxh_node_comfyui"
+            ],
+            "id": "tdxh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/youyegit/tdxh_node_comfyui",
+            "title": "tdxh_node_comfyui"
+        },
+        {
+            "author": "Sxela",
+            "description": "Nodes:LoadFrameSequence, LoadFrame",
+            "files": [
+                "https://github.com/Sxela/ComfyWarp"
+            ],
+            "id": "warp",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Sxela/ComfyWarp",
+            "title": "ComfyWarp"
+        },
+        {
+            "author": "skfoo",
+            "description": "Nodes:MultiLora Loader, Lora Text Extractor. Provides a node for assisting in loading loras through text.",
+            "files": [
+                "https://github.com/skfoo/ComfyUI-Coziness"
+            ],
+            "id": "coziness",
+            "install_type": "git-clone",
+            "reference": "https://github.com/skfoo/ComfyUI-Coziness",
+            "title": "ComfyUI-Coziness"
+        },
+        {
+            "author": "YOUR-WORST-TACO",
+            "description": "Nodes:TacoLatent, TacoAnimatedLoader, TacoImg2ImgAnimatedLoader, TacoGifMaker.",
+            "files": [
+                "https://github.com/YOUR-WORST-TACO/ComfyUI-TacoNodes"
+            ],
+            "id": "taco",
+            "install_type": "git-clone",
+            "reference": "https://github.com/YOUR-WORST-TACO/ComfyUI-TacoNodes",
+            "title": "ComfyUI-TacoNodes"
+        },
+        {
+            "author": "Lerc",
+            "description": "This extension provides a full page image editor with mask support. There are two nodes, one to receive images from the editor and one to send images to the editor.",
+            "files": [
+                "https://github.com/Lerc/canvas_tab"
+            ],
+            "id": "canvastab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Lerc/canvas_tab",
+            "title": "Canvas Tab"
+        },
+        {
+            "author": "Ttl",
+            "description": "Nodes:NNLatentUpscale, A custom ComfyUI node designed for rapid latent upscaling using a compact neural network, eliminating the need for VAE-based decoding and encoding.",
+            "files": [
+                "https://github.com/Ttl/ComfyUi_NNLatentUpscale"
+            ],
+            "id": "nnlatent",
+            "install_type": "git-clone",
+            "preemptions": [
+                "NNLatentUpscale"
+            ],
+            "reference": "https://github.com/Ttl/ComfyUi_NNLatentUpscale",
+            "title": "ComfyUI Neural Network Latent Upscale"
+        },
+        {
+            "author": "spro",
+            "description": "Nodes: Latent Mirror. Node to mirror a latent along the Y (vertical / left to right) or X (horizontal / top to bottom) axis.",
+            "files": [
+                "https://github.com/spro/comfyui-mirror"
+            ],
+            "id": "latentmirror",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spro/comfyui-mirror",
+            "title": "Latent Mirror node for ComfyUI"
+        },
+        {
+            "author": "Tropfchen",
+            "description": "Tired of forgetting and misspelling often weird names of embeddings you use? Or perhaps you use only one, cause you forgot you have tens of them installed?",
+            "files": [
+                "https://github.com/Tropfchen/ComfyUI-Embedding_Picker"
+            ],
+            "id": "embedding-picker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Tropfchen/ComfyUI-Embedding_Picker",
+            "title": "Embedding Picker"
+        },
+        {
+            "author": "Acly",
+            "description": "Provides nodes and server API extensions geared towards using ComfyUI as a backend for external tools.",
+            "files": [
+                "https://github.com/Acly/comfyui-tooling-nodes"
+            ],
+            "id": "external-tooling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Acly/comfyui-tooling-nodes",
+            "title": "ComfyUI Nodes for External Tooling"
+        },
+        {
+            "author": "Acly",
+            "description": "Nodes for better inpainting with ComfyUI. Adds various ways to pre-process inpaint areas. Supports the Fooocus inpaint model, a small and flexible patch which can be applied to any SDXL checkpoint and will improve consistency when generating masked areas.",
+            "files": [
+                "https://github.com/Acly/comfyui-inpaint-nodes"
+            ],
+            "id": "inpaint-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Acly/comfyui-inpaint-nodes",
+            "title": "ComfyUI Inpaint Nodes"
+        },
+        {
+            "author": "picturesonpictures",
+            "description": "A collection of custom nodes for ComfyUI. Includes a quick canny edge detection node with unconventional settings, simple LoRA stack nodes for workflow efficiency, and a customizable aspect ratio node.",
+            "files": [
+                "https://github.com/picturesonpictures/comfy_PoP"
+            ],
+            "id": "pop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/picturesonpictures/comfy_PoP",
+            "title": "comfy_PoP"
+        },
+        {
+            "author": "Dream Project",
+            "description": "This extension offers various nodes that are useful for Deforum-like animations in ComfyUI.",
+            "files": [
+                "https://github.com/alt-key-project/comfyui-dream-project"
+            ],
+            "id": "dream-anime",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alt-key-project/comfyui-dream-project",
+            "title": "Dream Project Animation Nodes"
+        },
+        {
+            "author": "Dream Project",
+            "description": "Provide utilities for batch based video generation workflows (s.a. AnimateDiff and Stable Video Diffusion).",
+            "files": [
+                "https://github.com/alt-key-project/comfyui-dream-video-batches"
+            ],
+            "id": "dream-video",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alt-key-project/comfyui-dream-video-batches",
+            "title": "Dream Video Batches"
+        },
+        {
+            "author": "seanlynch",
+            "description": "This package contains three nodes to help you compute optical flow between pairs of images, usually adjacent frames in a video, visualize the flow, and apply the flow to another image of the same dimensions. Most of the code is from Deforum, so this is released under the same license (MIT).",
+            "files": [
+                "https://github.com/seanlynch/comfyui-optical-flow"
+            ],
+            "id": "optical-flow",
+            "install_type": "git-clone",
+            "reference": "https://github.com/seanlynch/comfyui-optical-flow",
+            "title": "ComfyUI Optical Flow"
+        },
+        {
+            "author": "ealkanat",
+            "description": "ComfyUI Easy Padding is a simple custom ComfyUI node that helps you to add padding to images on ComfyUI.",
+            "files": [
+                "https://github.com/ealkanat/comfyui_easy_padding"
+            ],
+            "id": "easy-padding",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ealkanat/comfyui_easy_padding",
+            "title": "ComfyUI Easy Padding"
+        },
+        {
+            "author": "ArtBot2023",
+            "description": "Character face swap with LoRA and embeddings.",
+            "files": [
+                "https://github.com/ArtBot2023/CharacterFaceSwap"
+            ],
+            "id": "char-faceswap",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ArtBot2023/CharacterFaceSwap",
+            "title": "Character Face Swap"
+        },
+        {
+            "author": "mav-rik",
+            "description": "This is a copy of [a/facerestore custom node](https://civitai.com/models/24690/comfyui-facerestore-node) with a bit of a change to support CodeFormer Fidelity parameter. These ComfyUI nodes can be used to restore faces in images similar to the face restore option in AUTOMATIC1111 webui.\nNOTE: To use this node, you need to download the face restoration model and face detection model from the 'Install models' menu.",
+            "files": [
+                "https://github.com/mav-rik/facerestore_cf"
+            ],
+            "id": "face-cf",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mav-rik/facerestore_cf",
+            "title": "Facerestore CF (Code Former)"
+        },
+        {
+            "author": "braintacles",
+            "description": "Nodes: CLIPTextEncodeSDXL-Multi-IO, CLIPTextEncodeSDXL-Pipe, Empty Latent Image from Aspect-Ratio, Random Find and Replace.",
+            "files": [
+                "https://github.com/braintacles/braintacles-comfyui-nodes"
+            ],
+            "id": "braintacles",
+            "install_type": "git-clone",
+            "reference": "https://github.com/braintacles/braintacles-comfyui-nodes",
+            "title": "braintacles-nodes"
+        },
+        {
+            "author": "hayden-fr",
+            "description": "Manage models: browsing, download and delete.",
+            "files": [
+                "https://github.com/hayden-fr/ComfyUI-Model-Manager"
+            ],
+            "id": "modelmanager",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hayden-fr/ComfyUI-Model-Manager",
+            "title": "ComfyUI-Model-Manager"
+        },
+        {
+            "author": "hayden-fr",
+            "description": "Image Browsing: browsing, download and delete.",
+            "files": [
+                "https://github.com/hayden-fr/ComfyUI-Image-Browsing"
+            ],
+            "id": "image-browsing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hayden-fr/ComfyUI-Image-Browsing",
+            "title": "ComfyUI-Image-Browsing"
+        },
+        {
+            "author": "ali1234",
+            "description": "Implements iteration over sequences within a single workflow run. [w/NOTE: This node replaces the execution of ComfyUI for iterative processing functionality.]",
+            "files": [
+                "https://github.com/ali1234/comfyui-job-iterator"
+            ],
+            "id": "job-iterator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ali1234/comfyui-job-iterator",
+            "title": "comfyui-job-iterator"
+        },
+        {
+            "author": "jmkl",
+            "description": "ComfyUI custom user.css and some script stuff. mainly for web interface.",
+            "files": [
+                "https://github.com/jmkl/ComfyUI-ricing"
+            ],
+            "id": "ricing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jmkl/ComfyUI-ricing",
+            "title": "ComfyUI Ricing"
+        },
+        {
+            "author": "budihartono",
+            "description": "Nodes: OTX Multiple Values, OTX KSampler Feeder. This extension provides custom nodes for ComfyUI created for personal projects. Made available for reference. Nodes may be updated or changed intermittently or not at all. Review & test before use.",
+            "files": [
+                "https://github.com/budihartono/comfyui_otonx_nodes"
+            ],
+            "id": "otonx",
+            "install_type": "git-clone",
+            "reference": "https://github.com/budihartono/comfyui_otonx_nodes",
+            "title": "Otonx's Custom Nodes"
+        },
+        {
+            "author": "ramyma",
+            "description": "Nodes: Base64Image Input Node, Base64Image Output Node. [a/A8R8](https://github.com/ramyma/a8r8) supporting nodes to integrate with ComfyUI",
+            "files": [
+                "https://github.com/ramyma/A8R8_ComfyUI_nodes"
+            ],
+            "id": "a8r8",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ramyma/A8R8_ComfyUI_nodes",
+            "title": "A8R8 ComfyUI Nodes"
+        },
+        {
+            "author": "spinagon",
+            "description": "Node for generating almost seamless textures, based on similar setting from A1111.",
+            "files": [
+                "https://github.com/spinagon/ComfyUI-seamless-tiling"
+            ],
+            "id": "seamless",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spinagon/ComfyUI-seamless-tiling",
+            "title": "Seamless tiling Node for ComfyUI"
+        },
+        {
+            "author": "BiffMunky",
+            "description": "A small set of nodes I created for various numerical and text inputs.  Features image saver with ability to have JSON saved to separate folder, parameter collection nodes, two aesthetic scoring models, switches for text and numbers, and conversion of string to numeric and vice versa.",
+            "files": [
+                "https://github.com/tusharbhutt/Endless-Nodes"
+            ],
+            "id": "endless",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tusharbhutt/Endless-Nodes",
+            "title": "Endless \ufe0f\ud83c\udf0a\u2728 Nodes"
+        },
+        {
+            "author": "spacepxl",
+            "description": "Add Image Save nodes for TIFF 16 bit and EXR 32 bit formats. Probably only useful if you're applying a LUT or other color corrections, and care about preserving as much color accuracy as possible.",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-HQ-Image-Save"
+            ],
+            "id": "hq-image-save",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spacepxl/ComfyUI-HQ-Image-Save",
+            "title": "ComfyUI-HQ-Image-Save"
+        },
+        {
+            "author": "spacepxl",
+            "description": "Image and matte filtering nodes for ComfyUI `image/filters/*`",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-Image-Filters"
+            ],
+            "id": "image-fitlers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spacepxl/ComfyUI-Image-Filters",
+            "title": "ComfyUI-Image-Filters"
+        },
+        {
+            "author": "spacepxl",
+            "description": "Unofficial ComfyUI implementation of [a/RAVE](https://rave-video.github.io/)",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-RAVE"
+            ],
+            "id": "rave",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spacepxl/ComfyUI-RAVE",
+            "title": "ComfyUI-RAVE"
+        },
+        {
+            "author": "spacepxl",
+            "description": "Basic support for StyleGAN2 and StyleGAN3 models.",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-StyleGan"
+            ],
+            "id": "stylegan",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spacepxl/ComfyUI-StyleGan",
+            "title": "ComfyUI-StyleGan"
+        },
+        {
+            "author": "spacepxl",
+            "description": "[a/https://huggingface.co/microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft)\nLarge or base model, support for captioning and bbox task modes, more coming soon.",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-Florence-2"
+            ],
+            "id": "florence2-spacepxl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spacepxl/ComfyUI-Florence-2",
+            "title": "ComfyUI-Florence-2"
+        },
+        {
+            "author": "PTA",
+            "description": "A ComfyUI extension to apply better nodes layout algorithm to ComfyUI workflow (mostly for visualization purpose)",
+            "files": [
+                "https://github.com/phineas-pta/comfyui-auto-nodes-layout"
+            ],
+            "id": "autolayout",
+            "install_type": "git-clone",
+            "reference": "https://github.com/phineas-pta/comfyui-auto-nodes-layout",
+            "title": "auto nodes layout"
+        },
+        {
+            "author": "receyuki",
+            "description": "The ultimate solution for managing image metadata and multi-tool compatibility. ComfyUI node version of the SD Prompt Reader.",
+            "files": [
+                "https://github.com/receyuki/comfyui-prompt-reader-node"
+            ],
+            "id": "sdpromptreader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/receyuki/comfyui-prompt-reader-node",
+            "title": "SD Prompt Reader"
+        },
+        {
+            "author": "rklaffehn",
+            "description": "Nodes: RK_CivitAIMetaChecker, RK_CivitAIAddHashes.",
+            "files": [
+                "https://github.com/rklaffehn/rk-comfy-nodes"
+            ],
+            "id": "rknodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/rklaffehn/rk-comfy-nodes",
+            "title": "rk-comfy-nodes"
+        },
+        {
+            "author": "cubiq",
+            "description": "Essential nodes that are weirdly missing from ComfyUI core. With few exceptions they are new features and not commodities. I hope this will be just a temporary repository until the nodes get included into ComfyUI.",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_essentials"
+            ],
+            "id": "essentials",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cubiq/ComfyUI_essentials",
+            "title": "ComfyUI Essentials"
+        },
+        {
+            "author": "Clybius",
+            "description": "Nodes: Latent Diffusion Mega Modifier. ComfyUI nodes which modify the latent during the diffusion process. (Sharpness, Tonemap, Rescale, Extra Noise)",
+            "files": [
+                "https://github.com/Clybius/ComfyUI-Latent-Modifiers"
+            ],
+            "id": "latent-modifier",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Clybius/ComfyUI-Latent-Modifiers",
+            "title": "ComfyUI-Latent-Modifiers"
+        },
+        {
+            "author": "Clybius",
+            "description": "Nodes: SamplerCustomNoise, SamplerCustomNoiseDuo, SamplerCustomModelMixtureDuo, SamplerRES_Momentumized, SamplerDPMPP_DualSDE_Momentumized, SamplerCLYB_4M_SDE_Momentumized, SamplerTTM, SamplerLCMCustom\nThis extension provides various custom samplers not offered by the default nodes in ComfyUI.",
+            "files": [
+                "https://github.com/Clybius/ComfyUI-Extra-Samplers"
+            ],
+            "id": "extra-samplers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Clybius/ComfyUI-Extra-Samplers",
+            "title": "ComfyUI Extra Samplers"
+        },
+        {
+            "author": "mcmonkeyprojects",
+            "description": "Adds nodes for Dynamic Thresholding, CFG scheduling, and related techniques.",
+            "files": [
+                "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding"
+            ],
+            "id": "dynamic-thresholding",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding",
+            "title": "Dynamic Thresholding"
+        },
+        {
+            "author": "Tropfchen",
+            "description": "A slightly different Resolution Selector node, allowing to freely change base resolution and aspect ratio, with options to maintain the pixel count or use the base resolution as the highest or lowest dimension.",
+            "files": [
+                "https://github.com/Tropfchen/ComfyUI-yaResolutionSelector"
+            ],
+            "id": "yars",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Tropfchen/ComfyUI-yaResolutionSelector",
+            "title": "YARS: Yet Another Resolution Selector"
+        },
+        {
+            "author": "chrisgoringe",
+            "description": "Nodes to create small variations on noise, to shape noise, and to control noise in batches. Replaces the old 'variation-seed' nodes.",
+            "files": [
+                "https://github.com/chrisgoringe/cg-noisetools"
+            ],
+            "id": "cg-noisetools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chrisgoringe/cg-noisetools",
+            "title": "Noise variation and batch noise tools"
+        },
+        {
+            "author": "chrisgoringe",
+            "description": "A custom node that pauses the flow while you choose which image (or latent) to pass on to the rest of the workflow.",
+            "files": [
+                "https://github.com/chrisgoringe/cg-image-picker"
+            ],
+            "id": "image-chooser",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chrisgoringe/cg-image-picker",
+            "title": "Image chooser"
+        },
+        {
+            "author": "chrisgoringe",
+            "description": "A set of nodes that allow data to be 'broadcast' to some or all unconnected inputs. Greatly reduces link spaghetti.",
+            "files": [
+                "https://github.com/chrisgoringe/cg-use-everywhere"
+            ],
+            "id": "ue",
+            "install_type": "git-clone",
+            "nodename_pattern": "(^(Prompts|Anything) Everywhere|Simple String)",
+            "reference": "https://github.com/chrisgoringe/cg-use-everywhere",
+            "title": "Use Everywhere (UE Nodes)"
+        },
+        {
+            "author": "chrisgoringe",
+            "description": "Prompt Info",
+            "files": [
+                "https://github.com/chrisgoringe/cg-prompt-info"
+            ],
+            "id": "promptinfo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chrisgoringe/cg-prompt-info",
+            "title": "Prompt Info"
+        },
+        {
+            "author": "TGu-97",
+            "description": "Nodes: MPN Switch, MPN Reroute, PN Switch. This is a set of custom nodes for ComfyUI. Mainly focus on control switches.",
+            "files": [
+                "https://github.com/TGu-97/ComfyUI-TGu-utils"
+            ],
+            "id": "tgu",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TGu-97/ComfyUI-TGu-utils",
+            "title": "TGu Utilities"
+        },
+        {
+            "author": "seanlynch",
+            "description": "Nodes: SRL Conditional Interrupt, SRL Format String, SRL Eval, SRL Filter Image List. This is a collection of nodes I find useful. Note that at least one module allows execution of arbitrary code. Do not use any of these nodes on a system that allow untrusted users to control workflows or inputs.[w/WARNING: The custom nodes in this extension are vulnerable to **security risks** because they allow the execution of arbitrary code through the workflow]",
+            "files": [
+                "https://github.com/seanlynch/srl-nodes"
+            ],
+            "id": "srl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/seanlynch/srl-nodes",
+            "title": "SRL's nodes"
+        },
+        {
+            "author": "alpertunga-bile",
+            "description": "Custom AI prompt generator node for ComfyUI.",
+            "files": [
+                "https://github.com/alpertunga-bile/prompt-generator-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/alpertunga-bile/prompt-generator-comfyui",
+            "title": "prompt-generator"
+        },
+        {
+            "author": "kijai",
+            "description": "Various quality of life -nodes for ComfyUI, mostly just visual stuff to improve usability.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-KJNodes"
+            ],
+            "id": "kjnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-KJNodes",
+            "title": "KJNodes for ComfyUI"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI- CCSR upscaler node",
+            "files": [
+                "https://github.com/kijai/ComfyUI-CCSR"
+            ],
+            "id": "ccsr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-CCSR",
+            "title": "ComfyUI-CCSR"
+        },
+        {
+            "author": "kijai",
+            "description": "Preliminary use of SVD in ComfyUI.\nNOTE: Quick Implementation, Unstable. See details on repositories.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-SVD"
+            ],
+            "id": "kijai-svd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-SVD",
+            "title": "ComfyUI-SVD"
+        },
+        {
+            "author": "kijai",
+            "description": "This is a wrapper node for Marigold depth estimation: [https://github.com/prs-eth/Marigold](https://github.com/kijai/ComfyUI-Marigold). Currently using the same diffusers pipeline as in the original implementation, so in addition to the custom node, you need the model in diffusers format.\nNOTE: See details in repo to install.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-Marigold"
+            ],
+            "id": "marigold",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-Marigold",
+            "title": "Marigold depth estimation in ComfyUI"
+        },
+        {
+            "author": "kijai",
+            "description": "This is a diffusers (0.27.2) wrapper node for Geowizard: [https://github.com/fuxiao0719/GeoWizard]. The model is autodownloaded from Hugginface to ComfyUI/models/diffusers/geowizard",
+            "files": [
+                "https://github.com/kijai/ComfyUI-Geowizard"
+            ],
+            "id": "geowizard",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-Geowizard",
+            "title": "Geowizard depth and normal estimation in ComfyUI"
+        },
+        {
+            "author": "kijai",
+            "description": "Fast and accurate monocular depth estimation.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-depth-fm"
+            ],
+            "id": "depth-fm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-depth-fm",
+            "title": "ComfyUI-depth-fm"
+        },
+        {
+            "author": "kijai",
+            "description": "Node to use [a/DDColor](https://github.com/piddnad/DDColor) in ComfyUI.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DDColor"
+            ],
+            "id": "ddcolor-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-DDColor",
+            "title": "ComfyUI-DDColor"
+        },
+        {
+            "author": "kijai",
+            "description": "This is a trainer for AnimateDiff MotionLoRAs, based on the implementation of MotionDirector by ExponentialML.\nNOTE:[a/ADMotionDirector](https://github.com/ExponentialML/AnimateDiff-MotionDirector)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-ADMotionDirector"
+            ],
+            "id": "motionlora-trainer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-ADMotionDirector",
+            "title": "Animatediff MotionLoRA Trainer"
+        },
+        {
+            "author": "kijai",
+            "description": "Moondream image to text query node with batch support",
+            "files": [
+                "https://github.com/kijai/ComfyUI-moondream"
+            ],
+            "id": "moondream",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-moondream",
+            "title": "ComfyUI-moondream"
+        },
+        {
+            "author": "kijai",
+            "description": "Wrapper nodes to use SUPIR upscaling process in ComfyUI",
+            "files": [
+                "https://github.com/kijai/ComfyUI-SUPIR"
+            ],
+            "id": "supir",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-SUPIR",
+            "title": "ComfyUI-SUPIR"
+        },
+        {
+            "author": "kijai",
+            "description": "Wrapper nodes to use DynamiCrafter image2video and frame interpolation models in ComfyUI\nAnd this extension supports ToonCrafter as well",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DynamiCrafterWrapper"
+            ],
+            "id": "dynamicrafter-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-DynamiCrafterWrapper",
+            "title": "ComfyUI-DynamiCrafterWrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Node to use [a/APISR](https://github.com/Kiteretsu77/APISR) upscale models in ComfyUI.[w/NOTE: repo name is changed from ComfyUI-APISR -> ComfyUI-APISR-KJ]",
+            "files": [
+                "https://github.com/kijai/ComfyUI-APISR-KJ"
+            ],
+            "id": "apisr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-APISR-KJ",
+            "title": "ComfyUI-APISR"
+        },
+        {
+            "author": "kijai",
+            "description": "This is simplified implementation of the [a/DiffusionLight](https://github.com/DiffusionLight/DiffusionLight) method of creating light probes. You will need the included LoRA, place it in ComfyUI/loras folder like usual, it's converted from the original diffusers one.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DiffusionLight"
+            ],
+            "id": "diffusionlight",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-DiffusionLight",
+            "title": "DiffusionLight implementation for ComfyUI"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI wrapper nodes to use the Diffusers implementation of ELLA",
+            "files": [
+                "https://github.com/kijai/ComfyUI-ELLA-wrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-ELLA-wrapper",
+            "title": "ComfyUI-ELLA-wrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI wrapper node to test LaVi-Bridge using Diffusers",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LaVi-Bridge-Wrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-LaVi-Bridge-Wrapper",
+            "title": "ComfyUI-LaVi-Bridge-Wrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI wrapper nodes to use the Diffusers implementation of BrushNet",
+            "files": [
+                "https://github.com/kijai/ComfyUI-BrushNet-Wrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-BrushNet-Wrapper",
+            "title": "ComfyUI-BrushNet-Wrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI native nodes for IC-Light",
+            "files": [
+                "https://github.com/kijai/ComfyUI-IC-Light"
+            ],
+            "id": "ic-light-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-IC-Light",
+            "title": "ComfyUI-IC-Light"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI nodes to use [a/DepthAnythingV2](https://depth-anything-v2.github.io/)\nNOTE:Models autodownload to ComfyUI/models/depthanything from [a/https://huggingface.co/Kijai/DepthAnythingV2-safetensors/tree/main](https://huggingface.co/Kijai/DepthAnythingV2-safetensors/tree/main)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DepthAnythingV2"
+            ],
+            "id": "depth-anything-v2",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-DepthAnythingV2",
+            "title": "ComfyUI-DepthAnythingV2"
+        },
+        {
+            "author": "kijai",
+            "description": "Nodes to use Florence2 VLM for image vision tasks: object detection, captioning, segmentation and ocr",
+            "files": [
+                "https://github.com/kijai/ComfyUI-Florence2"
+            ],
+            "id": "florence2-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-Florence2",
+            "title": "ComfyUI-Florence2"
+        },
+        {
+            "author": "kijai",
+            "description": "ComfyUI wrapper nodes for Lumina models",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LuminaWrapper"
+            ],
+            "id": "lumina",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-LuminaWrapper",
+            "title": "ComfyUI-LuminaWrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Optimized wrapper nodes for MimicMotion: [a/https://github.com/tencent/MimicMotion](https://github.com/tencent/MimicMotion)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-MimicMotionWrapper"
+            ],
+            "id": "mimicmotion-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-MimicMotionWrapper",
+            "title": "ComfyUI-MimicMotionWrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Wrapper nodes for OpenDiT: [a/OpenDiT](https://github.com/NUS-HPC-AI-Lab/OpenDiT/), supports Open-Sora t2i and i2i",
+            "files": [
+                "https://github.com/kijai/ComfyUI-OpenDiTWrapper"
+            ],
+            "id": "opendit-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-OpenDiTWrapper",
+            "title": "ComfyUI-OpenDiTWrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Nodes for [a/LivePortrait](https://github.com/KwaiVGI/LivePortrait)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LivePortraitKJ"
+            ],
+            "id": "liveportrait-kijai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-LivePortraitKJ",
+            "title": "ComfyUI-LivePortraitKJ"
+        },
+        {
+            "author": "kijai",
+            "description": "Rudimentary wrapper that runs [a/Kwai-Kolors](https://huggingface.co/Kwai-Kolors/Kolors) text2image pipeline using diffusers.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-KwaiKolorsWrapper"
+            ],
+            "id": "kwaikolors",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-KwaiKolorsWrapper",
+            "title": "ComfyUI-KwaiKolorsWrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Nodes to use [a/segment-anything-2](https://github.com/facebookresearch/segment-anything-2) for image or video segmentation.",
+            "files": [
+                "https://github.com/kijai/ComfyUI-segment-anything-2"
+            ],
+            "id": "segment-anything-2",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-segment-anything-2",
+            "title": "ComfyUI-segment-anything-2"
+        },
+        {
+            "author": "kijai",
+            "description": "These nodes include my wrapper for the original diffusers pipeline, as well as work in progress native ComfyUI implementation.\nFor the diffusers wrapper models should be downloaded automatically, for the native version you can get the unet [a/here](https://huggingface.co/Kijai/ControlNeXt-SVD-V2-Comfy/blob/main/controlnext-svd_v2-unet-fp16_converted.safetensors).",
+            "files": [
+                "https://github.com/kijai/ComfyUI-ControlNeXt-SVD"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-ControlNeXt-SVD",
+            "title": "ComfyUI nodes for ControlNext-SVD v2"
+        },
+        {
+            "author": "kijai",
+            "description": "Currently supports LoRA training, and untested full finetune with code from kohya's scripts: [a/https://github.com/kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-FluxTrainer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-FluxTrainer",
+            "title": "ComfyUI Flux Trainer"
+        },
+        {
+            "author": "kijai",
+            "description": "Diffusers wrapper for CogVideoX -models: [a/https://github.com/THUDM/CogVideo](https://github.com/THUDM/CogVideo)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-CogVideoXWrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-CogVideoXWrapper",
+            "title": "ComfyUI CogVideoX Wrapper"
+        },
+        {
+            "author": "kijai",
+            "description": "Nodes to use the OneVision LLaVA models: [a/https://github.com/LLaVA-VL/LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT)",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LLaVA-OneVision"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kijai/ComfyUI-LLaVA-OneVision",
+            "title": "ComfyUI Llava-OneVision"
+        },
+        {
+            "author": "hhhzzyang",
+            "description": "Nodes: LamaaModelLoad, LamaApply, YamlConfigLoader. a costumer node is realized to remove anything/inpainting anything from a picture by mask inpainting.[w/WARN:This extension includes the entire model, which can result in a very long initial installation time, and there may be some compatibility issues with older dependencies and ComfyUI.]",
+            "files": [
+                "https://github.com/hhhzzyang/Comfyui_Lama"
+            ],
+            "id": "lama",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hhhzzyang/Comfyui_Lama",
+            "title": "Comfyui-Lama"
+        },
+        {
+            "author": "audioscavenger",
+            "description": "Upgrade the Save File node: customize subfolders, file names with checkpoint names, or any sampler attribute your want! [w/NOTE: This node is a fork from @thedyze, since the [a/original repository](https://github.com/thedyze/save-image-extended-comfyui) is no longer maintained. Simply *uninstall* the original version and **REINSTALL** this one.]",
+            "files": [
+                "https://github.com/audioscavenger/save-image-extended-comfyui"
+            ],
+            "id": "save-image-extended",
+            "install_type": "git-clone",
+            "reference": "https://github.com/audioscavenger/save-image-extended-comfyui",
+            "title": "Save Image Extended for ComfyUI"
+        },
+        {
+            "author": "SOELexicon",
+            "description": "ComfyUI-LexTools is a Python-based image processing and analysis toolkit that uses machine learning models for semantic image segmentation, image scoring, and image captioning.",
+            "files": [
+                "https://github.com/SOELexicon/ComfyUI-LexTools"
+            ],
+            "id": "lextools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SOELexicon/ComfyUI-LexTools",
+            "title": "ComfyUI-LexTools"
+        },
+        {
+            "author": "mikkel",
+            "description": "The ComfyUI Text Overlay Plugin provides functionalities for superimposing text on images. Users can select different font types, set text size, choose color, and adjust the text's position on the image.",
+            "files": [
+                "https://github.com/mikkel/ComfyUI-text-overlay"
+            ],
+            "id": "textoverlay-mikkel",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mikkel/ComfyUI-text-overlay",
+            "title": "ComfyUI - Text Overlay Plugin"
+        },
+        {
+            "author": "avatechai",
+            "description": "Include nodes for sam + bpy operation, that allows workflow creations for generative 2d character rig.",
+            "files": [
+                "https://github.com/avatechai/avatar-graph-comfyui"
+            ],
+            "id": "avatar-graph",
+            "install_type": "git-clone",
+            "reference": "https://github.com/avatechai/avatar-graph-comfyui",
+            "title": "Avatar Graph"
+        },
+        {
+            "author": "TRI3D-LC",
+            "description": "Nodes: tri3d-extract-hand, tri3d-fuzzification, tri3d-position-hands, tri3d-atr-parse.",
+            "files": [
+                "https://github.com/TRI3D-LC/tri3d-comfyui-nodes"
+            ],
+            "id": "tri3d",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TRI3D-LC/tri3d-comfyui-nodes",
+            "title": "tri3d-comfyui-nodes"
+        },
+        {
+            "author": "TRI3D-LC",
+            "description": "Nodes: add-image-miro-board.",
+            "files": [
+                "https://github.com/TRI3D-LC/ComfyUI-MiroBoard"
+            ],
+            "id": "miroboard",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TRI3D-LC/ComfyUI-MiroBoard",
+            "title": "ComfyUI-MiroBoard"
+        },
+        {
+            "author": "storyicon",
+            "description": "Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.",
+            "files": [
+                "https://github.com/storyicon/comfyui_segment_anything"
+            ],
+            "id": "sam",
+            "install_type": "git-clone",
+            "reference": "https://github.com/storyicon/comfyui_segment_anything",
+            "title": "segment anything"
+        },
+        {
+            "author": "storyicon",
+            "description": "Nodes:MuseVImg2Vid (comfyui_musev_evolved)\nNOTE: Download [a/MuseV](https://huggingface.co/TMElyralab/MuseV) to ComfyUI/models/diffusers",
+            "files": [
+                "https://github.com/storyicon/comfyui_musev_evolved"
+            ],
+            "id": "musev-evolved",
+            "install_type": "git-clone",
+            "reference": "https://github.com/storyicon/comfyui_musev_evolved",
+            "title": "ComfyUI MuseV Evolved"
+        },
+        {
+            "author": "a1lazydog",
+            "description": "Load mp3 files and use the audio nodes to power animations and prompt scheduling. Use with FizzNodes.",
+            "files": [
+                "https://github.com/a1lazydog/ComfyUI-AudioScheduler"
+            ],
+            "id": "audioscheduler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/a1lazydog/ComfyUI-AudioScheduler",
+            "title": "ComfyUI-AudioScheduler"
+        },
+        {
+            "author": "whatbirdisthat",
+            "description": "Cyberdolphin Suite of ComfyUI nodes for wiring up things.",
+            "files": [
+                "https://github.com/whatbirdisthat/cyberdolphin"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/whatbirdisthat/cyberdolphin",
+            "title": "cyberdolphin"
+        },
+        {
+            "author": "chrish-slingshot",
+            "description": "A mixture of effects and quality of life nodes. Nodes: ImageGlitcher (gives an image a cool glitchy effect), ColorStylizer (highlights a single color in an image), QueryLocalLLM (queries a local LLM API though oobabooga), SDXLReslution (resolution picker for the standard SDXL resolutions, the complete list), SDXLResolutionSplit (splits the SDXL resolution into width and height). ",
+            "files": [
+                "https://github.com/chrish-slingshot/CrasHUtils"
+            ],
+            "id": "crash",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chrish-slingshot/CrasHUtils",
+            "title": "CrasH Utils"
+        },
+        {
+            "author": "spinagon",
+            "description": "Nodes: Image Resize (seam carving). Seam carving (image resize) for ComfyUI. Based on [a/https://github.com/li-plus/seam-carving](https://github.com/li-plus/seam-carving). With seam carving algorithm, the image could be intelligently resized while keeping the important contents undistorted. The carving process could be further guided, so that an object could be removed from the image without apparent artifacts.",
+            "files": [
+                "https://github.com/spinagon/ComfyUI-seam-carving"
+            ],
+            "id": "seamcarving",
+            "install_type": "git-clone",
+            "reference": "https://github.com/spinagon/ComfyUI-seam-carving",
+            "title": "ComfyUI-seam-carving"
+        },
+        {
+            "author": "YMC",
+            "description": "ymc 's nodes for comfyui. This extension is composed of nodes that provide various utility features such as text, region, and I/O.",
+            "files": [
+                "https://github.com/YMC-GitHub/ymc-node-suite-comfyui"
+            ],
+            "id": "ymc-suite",
+            "install_type": "git-clone",
+            "reference": "https://github.com/YMC-GitHub/ymc-node-suite-comfyui",
+            "title": "ymc-node-suite-comfyui"
+        },
+        {
+            "author": "YMC",
+            "description": "some comfyui custom nodes to set it as known type",
+            "files": [
+                "https://github.com/YMC-GitHub/ymc-node-as-x-type"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/YMC-GitHub/ymc-node-as-x-type",
+            "title": "ymc-node-as-x-type"
+        },
+        {
+            "author": "chibiace",
+            "description": "Nodes:Loader, Prompts, ImageTool, Wildcards, LoadEmbedding, ConditionText, SaveImages, ...",
+            "files": [
+                "https://github.com/chibiace/ComfyUI-Chibi-Nodes"
+            ],
+            "id": "chibi",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chibiace/ComfyUI-Chibi-Nodes",
+            "title": "ComfyUI-Chibi-Nodes"
+        },
+        {
+            "author": "DigitalIO",
+            "description": "Wildcard implementation that can be reproduced with workflows.",
+            "files": [
+                "https://github.com/DigitalIO/ComfyUI-stable-wildcards"
+            ],
+            "id": "stable-wildcards",
+            "install_type": "git-clone",
+            "reference": "https://github.com/DigitalIO/ComfyUI-stable-wildcards",
+            "title": "ComfyUI-stable-wildcards"
+        },
+        {
+            "author": "THtianhao",
+            "description": "Nodes:RetainFace, FaceFusion, RatioMerge2Image, MaskMerge2Image, ReplaceBoxImg, ExpandMaskBox, FaceSkin, SkinRetouching, PortraitEnhancement, ...",
+            "files": [
+                "https://github.com/THtianhao/ComfyUI-Portrait-Maker"
+            ],
+            "id": "portrait-maker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/THtianhao/ComfyUI-Portrait-Maker",
+            "title": "ComfyUI-Portrait-Maker"
+        },
+        {
+            "author": "THtianhao",
+            "description": "The official ComfyUI version of facechain greatly improves the speed of reasoning and has great custom process controls.",
+            "files": [
+                "https://github.com/THtianhao/ComfyUI-FaceChain"
+            ],
+            "id": "facechain",
+            "install_type": "git-clone",
+            "reference": "https://github.com/THtianhao/ComfyUI-FaceChain",
+            "title": "ComfyUI-FaceChain"
+        },
+        {
+            "author": "zer0TF",
+            "description": "Adds a configurable folder watcher that auto-converts Comfy metadata into a Civitai-friendly format for automatic resource tagging when you upload images. Oh, and it makes your UI awesome, too. \ud83d\udc9c",
+            "files": [
+                "https://github.com/zer0TF/cute-comfy"
+            ],
+            "id": "cutecomfy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/zer0TF/cute-comfy",
+            "title": "Cute Comfy"
+        },
+        {
+            "author": "chflame163",
+            "description": "A text-to-speech plugin used under ComfyUI. It utilizes the Microsoft Speech TTS interface to convert text content into MP3 format audio files.",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_MSSpeech_TTS"
+            ],
+            "id": "msspeech",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chflame163/ComfyUI_MSSpeech_TTS",
+            "title": "ComfyUI_MSSpeech_TTS"
+        },
+        {
+            "author": "chflame163",
+            "description": "Nodes:Word Cloud, Load Text File",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_WordCloud"
+            ],
+            "id": "wordcloud",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chflame163/ComfyUI_WordCloud",
+            "title": "ComfyUI_WordCloud"
+        },
+        {
+            "author": "chflame163",
+            "description": "A set of nodes for ComfyUI it generate image like Adobe Photoshop's Layer Style. the Drop Shadow is first completed node, and follow-up work is in progress.",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_LayerStyle"
+            ],
+            "id": "layerstyle",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chflame163/ComfyUI_LayerStyle",
+            "title": "ComfyUI Layer Style"
+        },
+        {
+            "author": "chflame163",
+            "description": "A custom node for ComfyUI. It compare two images to rate facial similarity.",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_FaceSimilarity"
+            ],
+            "id": "face-similarity",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chflame163/ComfyUI_FaceSimilarity",
+            "title": "ComfyUI Face Similarity"
+        },
+        {
+            "author": "chflame163",
+            "description": "[a/CatVTON](https://github.com/Zheng-Chong/CatVTON) warpper for ComfyUI",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_CatVTON_Wrapper"
+            ],
+            "id": "catvton-wrapper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chflame163/ComfyUI_CatVTON_Wrapper",
+            "title": "ComfyUI_CatVTON_Wrapper"
+        },
+        {
+            "author": "drustan-hawk",
+            "description": "Small collection of typed primitive nodes.",
+            "files": [
+                "https://github.com/drustan-hawk/primitive-types"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/drustan-hawk/primitive-types",
+            "title": "primitive-types"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "3D, ScreenShareNode & FloatingVideoNode, SpeechRecognition & SpeechSynthesis, GPT, LoadImagesFromLocal, Layers, Other Nodes, ...",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-mixlab-nodes"
+            ],
+            "id": "mixlab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-mixlab-nodes",
+            "title": "comfyui-mixlab-nodes"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "Nodes:Detect By Label.",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-ultralytics-yolo"
+            ],
+            "id": "yolo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-ultralytics-yolo",
+            "title": "comfyui-ultralytics-yolo"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "[a/openai Consistency Decoder](https://github.com/openai/consistencydecoder). After downloading the [a/OpenAI VAE model](https://openaipublic.azureedge.net/diff-vae/c9cebd3132dd9c42936d803e33424145a748843c8f716c0814838bdc8a2fe7cb/decoder.pt), place it in the `model/vae` directory for use.",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-consistency-decoder"
+            ],
+            "id": "consistency-decoder",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-consistency-decoder",
+            "title": "Consistency Decoder"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "[a/ImageReward](https://github.com/THUDM/ImageReward): Human preference learning in text-to-image generation. This is a [a/paper](https://arxiv.org/abs/2304.05977) from NeurIPS 2023",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-Image-reward"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-Image-reward",
+            "title": "comfyui-Image-reward"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "Nodes:Music Gen, Audio Play, Stable Audio",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-sound-lab"
+            ],
+            "id": "soundlab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-sound-lab",
+            "title": "comfyui-sound-lab"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "Nodes:Edit Mask",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-edit-mask"
+            ],
+            "id": "edit-mask",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-edit-mask",
+            "title": "comfyui-edit-mask"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "The ComfyUI version of [a/LivePortrait](https://github.com/KwaiVGI/LivePortrait).",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-liveportrait"
+            ],
+            "id": "liveportrait",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-liveportrait",
+            "title": "comfyui-liveportrait"
+        },
+        {
+            "author": "shadowcz007",
+            "description": "Virtual try-on for creating a personal brand wardrobe collection.",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-try-on"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shadowcz007/comfyui-try-on",
+            "title": "comfyui-try-on"
+        },
+        {
+            "author": "ostris",
+            "description": "This is a collection of custom nodes for ComfyUI that I made for some QOL. I will be adding much more advanced ones in the future once I get more familiar with the API.",
+            "files": [
+                "https://github.com/ostris/ostris_nodes_comfyui"
+            ],
+            "id": "ostris",
+            "install_type": "git-clone",
+            "nodename_pattern": "- Ostris$",
+            "reference": "https://github.com/ostris/ostris_nodes_comfyui",
+            "title": "Ostris Nodes ComfyUI"
+        },
+        {
+            "author": "0xbitches",
+            "description": "This custom node implements a Latent Consistency Model sampler in ComfyUI. (LCM)",
+            "files": [
+                "https://github.com/0xbitches/ComfyUI-LCM"
+            ],
+            "id": "lcm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/0xbitches/ComfyUI-LCM",
+            "title": "Latent Consistency Model for ComfyUI"
+        },
+        {
+            "author": "aszc-dev",
+            "description": "This extension contains a set of custom nodes for ComfyUI that allow you to use Core ML models in your ComfyUI workflows. The models can be obtained here, or you can convert your own models using coremltools. The main motivation behind using Core ML models in ComfyUI is to allow you to utilize the ANE (Apple Neural Engine) on Apple Silicon (M1/M2) machines to improve performance.",
+            "files": [
+                "https://github.com/aszc-dev/ComfyUI-CoreMLSuite"
+            ],
+            "id": "coreml",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aszc-dev/ComfyUI-CoreMLSuite",
+            "title": "Core ML Suite for ComfyUI"
+        },
+        {
+            "author": "taabata",
+            "description": "Nodes:Prompt editing, Word as Image",
+            "files": [
+                "https://github.com/taabata/Comfy_Syrian_Falcon_Nodes/raw/main/SyrianFalconNodes.py"
+            ],
+            "id": "syrian",
+            "install_type": "copy",
+            "reference": "https://github.com/taabata/Comfy_Syrian_Falcon_Nodes",
+            "title": "Syrian Falcon Nodes"
+        },
+        {
+            "author": "taabata",
+            "description": "ComfyUI custom nodes for inpainting/outpainting using the new latent consistency model (LCM)",
+            "files": [
+                "https://github.com/taabata/LCM_Inpaint-Outpaint_Comfy"
+            ],
+            "id": "lcm-inpaint-outpaint",
+            "install_type": "git-clone",
+            "reference": "https://github.com/taabata/LCM_Inpaint-Outpaint_Comfy",
+            "title": "LCM_Inpaint-Outpaint_Comfy"
+        },
+        {
+            "author": "noxinias",
+            "description": "Nodes: Noxin Complete Chime, Noxin Scaled Resolutions, Load from Noxin Prompt Library, Save to Noxin Prompt Library",
+            "files": [
+                "https://github.com/noxinias/ComfyUI_NoxinNodes"
+            ],
+            "id": "noxin",
+            "install_type": "git-clone",
+            "reference": "https://github.com/noxinias/ComfyUI_NoxinNodes",
+            "title": "ComfyUI_NoxinNodes"
+        },
+        {
+            "author": "apesplat",
+            "description": "Extensions/Patches: Enables linking float and integer inputs and ouputs. Values are automatically cast to the correct type and clamped to the correct range. Works with both builtin and custom nodes.[w/NOTE: This repo patches ComfyUI's validate_inputs and map_node_over_list functions while running. May break depending on your version of ComfyUI. Can be deactivated in config.yaml.]Nodes: A collection of nodes for facilitating the generation of XY plots. Capable of plotting changes over most primitive values.[w/Does not work with current version of Comfyui]",
+            "files": [
+                "https://github.com/GMapeSplat/ComfyUI_ezXY"
+            ],
+            "id": "ezxy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GMapeSplat/ComfyUI_ezXY",
+            "title": "ezXY scripts and nodes"
+        },
+        {
+            "author": "kinfolk0117",
+            "description": "Nodes:TileSplit, TileMerge.",
+            "files": [
+                "https://github.com/kinfolk0117/ComfyUI_SimpleTiles"
+            ],
+            "id": "simpletiles",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kinfolk0117/ComfyUI_SimpleTiles",
+            "title": "SimpleTiles"
+        },
+        {
+            "author": "kinfolk0117",
+            "description": "Nodes:GradientPatchModelAddDownscale (Kohya Deep Shrink).",
+            "files": [
+                "https://github.com/kinfolk0117/ComfyUI_GradientDeepShrink"
+            ],
+            "id": "deepshrink",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kinfolk0117/ComfyUI_GradientDeepShrink",
+            "title": "ComfyUI_GradientDeepShrink"
+        },
+        {
+            "author": "kinfolk0117",
+            "description": "Use [a/Pilgram2](https://github.com/mgineer85/pilgram2) filters in ComfyUI",
+            "files": [
+                "https://github.com/kinfolk0117/ComfyUI_Pilgram"
+            ],
+            "id": "pilgram",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kinfolk0117/ComfyUI_Pilgram",
+            "title": "ComfyUI_Pilgram"
+        },
+        {
+            "author": "Fictiverse",
+            "description": "Nodes:Color correction.",
+            "files": [
+                "https://github.com/Fictiverse/ComfyUI_Fictiverse"
+            ],
+            "id": "fictverse",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fictiverse/ComfyUI_Fictiverse",
+            "title": "ComfyUI Fictiverse Nodes"
+        },
+        {
+            "author": "idrirap",
+            "description": "This project is a fork of [a/https://github.com/Extraltodeus/LoadLoraWithTags](https://github.com/Extraltodeus/LoadLoraWithTags) The aim of these custom nodes is to get an easy access to the tags used to trigger a lora.",
+            "files": [
+                "https://github.com/idrirap/ComfyUI-Lora-Auto-Trigger-Words"
+            ],
+            "id": "lora-auto-trigger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/idrirap/ComfyUI-Lora-Auto-Trigger-Words",
+            "title": "ComfyUI-Lora-Auto-Trigger-Words"
+        },
+        {
+            "author": "aianimation55",
+            "description": "It's a super simple custom node for Comfy UI, to generate text, with a font size option. Useful for bigger labelling of nodes, helpful for wider screen captures or tutorials. Plus you can of course use the text within your generations.",
+            "files": [
+                "https://github.com/aianimation55/ComfyUI-FatLabels"
+            ],
+            "id": "fatlab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aianimation55/ComfyUI-FatLabels",
+            "title": "Comfy UI FatLabels"
+        },
+        {
+            "author": "noEmbryo",
+            "description": "PromptTermList (1-6): are some nodes that help with the creation of Prompts inside ComfyUI. Resolution Scale outputs image dimensions using a scale factor. Regex Text Chopper outputs the chopped parts of a text using RegEx.",
+            "files": [
+                "https://github.com/noembryo/ComfyUI-noEmbryo"
+            ],
+            "id": "noembryo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/noembryo/ComfyUI-noEmbryo",
+            "title": "noEmbryo nodes"
+        },
+        {
+            "author": "mikkel",
+            "description": "The ComfyUI Mask Bounding Box Plugin provides functionalities for selecting a specific size mask from an image. Can be combined with ClipSEG to replace any aspect of an SDXL image with an SD1.5 output.",
+            "files": [
+                "https://github.com/mikkel/comfyui-mask-boundingbox"
+            ],
+            "id": "mask-bbox",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mikkel/comfyui-mask-boundingbox",
+            "title": "ComfyUI - Mask Bounding Box"
+        },
+        {
+            "author": "ParmanBabra",
+            "description": "Nodes:Multi Lora Loader, Random (Prompt), Combine (Prompt), CSV Prompts Loader",
+            "files": [
+                "https://github.com/ParmanBabra/ComfyUI-Malefish-Custom-Scripts"
+            ],
+            "id": "malefish",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ParmanBabra/ComfyUI-Malefish-Custom-Scripts",
+            "title": "ComfyUI-Malefish-Custom-Scripts"
+        },
+        {
+            "author": "IAmMatan.com",
+            "description": "This extension adds nodes that allow you to easily serve your workflow (for example using a discord bot) ",
+            "files": [
+                "https://github.com/matan1905/ComfyUI-Serving-Toolkit"
+            ],
+            "id": "serving-toolkit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/matan1905/ComfyUI-Serving-Toolkit",
+            "title": "ComfyUI Serving toolkit"
+        },
+        {
+            "author": "PCMonsterx",
+            "description": "CSV Loader for prompt building within ComfyUI interface. Allows access to positive/negative prompts associated with a name. Selections are being pulled from CSV files.",
+            "files": [
+                "https://github.com/PCMonsterx/ComfyUI-CSV-Loader"
+            ],
+            "id": "csv-loader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/PCMonsterx/ComfyUI-CSV-Loader",
+            "title": "ComfyUI-CSV-Loader"
+        },
+        {
+            "author": "Trung0246",
+            "description": "Random nodes for ComfyUI I made to solve my struggle with ComfyUI (ex: pipe, process). Have varying quality.",
+            "files": [
+                "https://github.com/Trung0246/ComfyUI-0246"
+            ],
+            "id": "0246",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Trung0246/ComfyUI-0246",
+            "title": "ComfyUI-0246"
+        },
+        {
+            "author": "fexli",
+            "description": "Nodes:FEImagePadForOutpaint, FEColorOut, FEColor2Image, FERandomizedColor2Image",
+            "files": [
+                "https://github.com/fexli/fexli-util-node-comfyui"
+            ],
+            "id": "fexli",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fexli/fexli-util-node-comfyui",
+            "title": "fexli-util-node-comfyui"
+        },
+        {
+            "author": "AbyssYuan0",
+            "description": "Nodes:ImageOverlap-badger, FloatToInt-badger, IntToString-badger, FloatToString-badger, ImageNormalization-badger, ImageScaleToSide-badger, NovelToFizz-badger.",
+            "files": [
+                "https://github.com/AbyssYuan0/ComfyUI_BadgerTools"
+            ],
+            "id": "badger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AbyssYuan0/ComfyUI_BadgerTools",
+            "title": "ComfyUI_BadgerTools"
+        },
+        {
+            "author": "palant",
+            "description": "This custom node provides various tools for resizing images. The goal is resizing without distorting proportions, yet without having to perform any calculations with the size of the original image. If a mask is present, it is resized and modified along with the image.",
+            "files": [
+                "https://github.com/palant/image-resize-comfyui"
+            ],
+            "id": "image-resize",
+            "install_type": "git-clone",
+            "reference": "https://github.com/palant/image-resize-comfyui",
+            "title": "Image Resize for ComfyUI"
+        },
+        {
+            "author": "palant",
+            "description": "This tool will turn entire workflows or parts of them into single integrated nodes. In a way, it is similar to the Node Templates functionality but hides the inner structure. This is useful if all you want is to reuse and quickly configure a bunch of nodes without caring how they are interconnected.",
+            "files": [
+                "https://github.com/palant/integrated-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/palant/integrated-nodes-comfyui",
+            "title": "Integrated Nodes for ComfyUI"
+        },
+        {
+            "author": "palant",
+            "description": "This custom node is largely identical to the usual Save Image but allows saving images also in JPEG and WEBP formats, the latter with both lossless and lossy compression. Metadata is embedded in the images as usual, and the resulting images can be used to load a workflow.",
+            "files": [
+                "https://github.com/palant/extended-saveimage-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/palant/extended-saveimage-comfyui",
+            "title": "Extended Save Image for ComfyUI"
+        },
+        {
+            "author": "whmc76",
+            "description": "Nodes:Openpose Editor Plus",
+            "files": [
+                "https://github.com/whmc76/ComfyUI-Openpose-Editor-Plus"
+            ],
+            "id": "openpose-editor-plus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/whmc76/ComfyUI-Openpose-Editor-Plus",
+            "title": "ComfyUI-Openpose-Editor-Plus"
+        },
+        {
+            "author": "martijnat",
+            "description": "a ComfyUI plugin for previewing latents without vae decoding. Useful for showing intermediate results and can be used a faster 'preview image' if you don't wan't to use vae decode.",
+            "files": [
+                "https://github.com/martijnat/comfyui-previewlatent"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/martijnat/comfyui-previewlatent",
+            "title": "comfyui-previewlatent"
+        },
+        {
+            "author": "banodoco",
+            "description": "Steerable Motion is a ComfyUI node for batch creative interpolation. Our goal is to feature the best methods for steering motion with images as video models evolve.",
+            "files": [
+                "https://github.com/banodoco/steerable-motion"
+            ],
+            "id": "steerable-motion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/banodoco/steerable-motion",
+            "title": "Steerable Motion"
+        },
+        {
+            "author": "gemell1",
+            "description": "Nodes:GMIC Image Processing.",
+            "files": [
+                "https://github.com/gemell1/ComfyUI_GMIC"
+            ],
+            "id": "gmic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gemell1/ComfyUI_GMIC",
+            "title": "ComfyUI_GMIC"
+        },
+        {
+            "author": "LonicaMewinsky",
+            "description": "Nodes:BreakFrames, GetKeyFrames, MakeGrid.",
+            "files": [
+                "https://github.com/LonicaMewinsky/ComfyUI-MakeFrame"
+            ],
+            "id": "breakanim",
+            "install_type": "git-clone",
+            "reference": "https://github.com/LonicaMewinsky/ComfyUI-MakeFrame",
+            "title": "ComfyBreakAnim"
+        },
+        {
+            "author": "TheBarret",
+            "description": "Nodes:Prompter, RF Noise, SeedMod.",
+            "files": [
+                "https://github.com/TheBarret/ZSuite"
+            ],
+            "id": "zsuite",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TheBarret/ZSuite",
+            "title": "ZSuite"
+        },
+        {
+            "author": "romeobuilderotti",
+            "description": "Add custom Metadata fields to your saved PNG files.",
+            "files": [
+                "https://github.com/romeobuilderotti/ComfyUI-PNG-Metadata"
+            ],
+            "id": "pngmeta",
+            "install_type": "git-clone",
+            "reference": "https://github.com/romeobuilderotti/ComfyUI-PNG-Metadata",
+            "title": "ComfyUI PNG Metadata"
+        },
+        {
+            "author": "ka-puna",
+            "description": "NOTE: Concatenate Strings, Format Datetime String, Integer Caster, Multiline String, Truncate String. Yet Another Node Collection, a repository of simple nodes for ComfyUI. This repository eases the addition or removal of custom nodes to itself.",
+            "files": [
+                "https://github.com/ka-puna/comfyui-yanc"
+            ],
+            "id": "yanc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ka-puna/comfyui-yanc",
+            "title": "comfyui-yanc"
+        },
+        {
+            "author": "amorano",
+            "description": "Webcam, MIDI, Spout and GLSL shader support. Animation via tick. Parameter manipulation with wave generator. Math operations, universal value converstion, shape mask generation, image channel ops, batch splitting/merging/randomizing, load image/video from URL, Dynamic bus routing, support for GIPHY, save output anywhere! flatten, crop, transform; check color blindness, make stereograms or stereoscopic images, and much more.",
+            "files": [
+                "https://github.com/Amorano/Jovimetrix"
+            ],
+            "id": "jovimetrix",
+            "install_type": "git-clone",
+            "nodename_pattern": " \\(JOV\\)$",
+            "reference": "https://github.com/Amorano/Jovimetrix",
+            "title": "Jovimetrix Composition Nodes"
+        },
+        {
+            "author": "Umikaze-job",
+            "description": "This extension simply connects the nodes and specifies the output path of the generated images to a manageable path.",
+            "files": [
+                "https://github.com/Umikaze-job/select_folder_path_easy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Umikaze-job/select_folder_path_easy",
+            "title": "select_folder_path_easy"
+        },
+        {
+            "author": "Niutonian",
+            "description": "Nodes:Noodle webcam is a node that records frames and send them to your favourite node.",
+            "files": [
+                "https://github.com/Niutonian/ComfyUi-NoodleWebcam"
+            ],
+            "id": "noodle-webcam",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Niutonian/ComfyUi-NoodleWebcam",
+            "title": "ComfyUi-NoodleWebcam"
+        },
+        {
+            "author": "Feidorian",
+            "description": "This extension provides various custom nodes. literals, loaders, logic, output, switches",
+            "files": [
+                "https://github.com/Feidorian/feidorian-ComfyNodes"
+            ],
+            "id": "feidorian",
+            "install_type": "git-clone",
+            "nodename_pattern": "^Feidorian_",
+            "reference": "https://github.com/Feidorian/feidorian-ComfyNodes",
+            "title": "feidorian-ComfyNodes"
+        },
+        {
+            "author": "wutipong",
+            "description": "Nodes:Create N-Token String",
+            "files": [
+                "https://github.com/wutipong/ComfyUI-TextUtils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wutipong/ComfyUI-TextUtils",
+            "title": "ComfyUI-TextUtils"
+        },
+        {
+            "author": "natto-maki",
+            "description": "Nodes:OpenAI DALLe3, OpenAI Translate to English, String Function, Seed Generator",
+            "files": [
+                "https://github.com/natto-maki/ComfyUI-NegiTools"
+            ],
+            "id": "negitools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/natto-maki/ComfyUI-NegiTools",
+            "title": "ComfyUI-NegiTools"
+        },
+        {
+            "author": "LonicaMewinsky",
+            "description": "Nodes:SaveTifImage. ComfyUI custom node for purpose of saving image as uint16 tif file.",
+            "files": [
+                "https://github.com/LonicaMewinsky/ComfyUI-RawSaver"
+            ],
+            "id": "rawsaver",
+            "install_type": "git-clone",
+            "reference": "https://github.com/LonicaMewinsky/ComfyUI-RawSaver",
+            "title": "ComfyUI-RawSaver"
+        },
+        {
+            "author": "jojkaart",
+            "description": "Nodes:LCMScheduler, SamplerLCMAlternative, SamplerLCMCycle. ComfyUI Custom Sampler nodes that add a new improved LCM sampler functions",
+            "files": [
+                "https://github.com/jojkaart/ComfyUI-sampler-lcm-alternative"
+            ],
+            "id": "lmc-alt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jojkaart/ComfyUI-sampler-lcm-alternative",
+            "title": "ComfyUI-sampler-lcm-alternative"
+        },
+        {
+            "author": "GTSuya-Studio",
+            "description": "ComfyUI-GTSuya-Nodes is a ComfyUI extension designed to add several wildcards supports into ComfyUI. Wildcards allow you to use __name__ syntax in your prompt to get a random line from a file named name.txt in a wildcards directory.",
+            "files": [
+                "https://github.com/GTSuya-Studio/ComfyUI-Gtsuya-Nodes"
+            ],
+            "id": "gtsuya",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GTSuya-Studio/ComfyUI-Gtsuya-Nodes",
+            "title": "ComfyUI-GTSuya-Nodes"
+        },
+        {
+            "author": "oyvindg",
+            "description": "Nodes: BinaryImageMask, ImagePadding, LoadLastCreatedImage, RandomMask, TransparentImage.",
+            "files": [
+                "https://github.com/oyvindg/ComfyUI-TrollSuite"
+            ],
+            "id": "troll",
+            "install_type": "git-clone",
+            "reference": "https://github.com/oyvindg/ComfyUI-TrollSuite",
+            "title": "ComfyUI-TrollSuite"
+        },
+        {
+            "author": "drago87",
+            "description": "Nodes:File Padding, Image Info, VAE Loader With Name",
+            "files": [
+                "https://github.com/drago87/ComfyUI_Dragos_Nodes"
+            ],
+            "id": "dragos",
+            "install_type": "git-clone",
+            "reference": "https://github.com/drago87/ComfyUI_Dragos_Nodes",
+            "title": "ComfyUI_Dragos_Nodes"
+        },
+        {
+            "author": "ansonkao",
+            "description": "Nodes: Mask to Centroid, Mask to Eigenvector. A small collection of custom nodes for use with ComfyUI, for geometry calculations",
+            "files": [
+                "https://github.com/ansonkao/comfyui-geometry"
+            ],
+            "id": "geometry",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ansonkao/comfyui-geometry",
+            "title": "comfyui-geometry"
+        },
+        {
+            "author": "bronkula",
+            "description": "Nodes:Fit Size From Int/Image/Resize, Load Image And Resize To Fit, Pick Image From Batch/List, Crop Image Into Even Pieces, Image Region To Mask... A simple set of nodes for making an image fit within a bounding box",
+            "files": [
+                "https://github.com/bronkula/comfyui-fitsize"
+            ],
+            "id": "fitsize",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bronkula/comfyui-fitsize",
+            "title": "comfyui-fitsize"
+        },
+        {
+            "author": "toyxyz",
+            "description": "This node was created to send a webcam to ComfyUI in real time. This node is recommended for use with LCM.",
+            "files": [
+                "https://github.com/toyxyz/ComfyUI_toyxyz_test_nodes"
+            ],
+            "id": "toyxyz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/toyxyz/ComfyUI_toyxyz_test_nodes",
+            "title": "ComfyUI_toyxyz_test_nodes"
+        },
+        {
+            "author": "thecooltechguy",
+            "description": "Easily use Stable Video Diffusion inside ComfyUI!",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-Stable-Video-Diffusion"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-Stable-Video-Diffusion",
+            "title": "ComfyUI Stable Video Diffusion"
+        },
+        {
+            "author": "thecooltechguy",
+            "description": "The easiest way to run & share any ComfyUI workflow [a/https://comfyrun.com](https://comfyrun.com)",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-ComfyRun"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-ComfyRun",
+            "title": "ComfyUI-ComfyRun"
+        },
+        {
+            "author": "thecooltechguy",
+            "description": "Easily use Magic Animate within ComfyUI!\n[w/WARN: This extension requires 15GB disk space.]",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-MagicAnimate"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-MagicAnimate",
+            "title": "ComfyUI-MagicAnimate"
+        },
+        {
+            "author": "thecooltechguy",
+            "description": "The best way to run, share, & discover thousands of ComfyUI workflows.",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-ComfyWorkflows"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-ComfyWorkflows",
+            "title": "ComfyUI-ComfyWorkflows"
+        },
+        {
+            "author": "Danand",
+            "description": " If you want to draw two different characters together without blending their features, so you could try to check out this custom node.",
+            "files": [
+                "https://github.com/Danand/ComfyUI-ComfyCouple"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Danand/ComfyUI-ComfyCouple",
+            "title": "Comfy Couple"
+        },
+        {
+            "author": "42lux",
+            "description": "A NSFW/Safety Checker Node for ComfyUI.",
+            "files": [
+                "https://github.com/42lux/ComfyUI-safety-checker"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/42lux/ComfyUI-safety-checker",
+            "title": "ComfyUI-safety-checker"
+        },
+        {
+            "author": "sergekatzmann",
+            "description": "Nodes:Image Square Adapter Node, Image Resize And Crop Node",
+            "files": [
+                "https://github.com/sergekatzmann/ComfyUI_Nimbus-Pack"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/sergekatzmann/ComfyUI_Nimbus-Pack",
+            "title": "ComfyUI_Nimbus-Pack"
+        },
+        {
+            "author": "komojini",
+            "description": "Nodes:XL DreamBooth LoRA, S3 Bucket LoRA",
+            "files": [
+                "https://github.com/komojini/ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/komojini/ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes",
+            "title": "ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes"
+        },
+        {
+            "author": "komojini",
+            "description": "Nodes:YouTube Video Loader. Custom ComfyUI Nodes for video generation",
+            "files": [
+                "https://github.com/komojini/komojini-comfyui-nodes"
+            ],
+            "id": "komojini-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/komojini/komojini-comfyui-nodes",
+            "title": "komojini-comfyui-nodes"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of APISR for ComfyUI, both image and video",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-APISR"
+            ],
+            "id": "apisr-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-APISR",
+            "title": "APISR IN COMFYUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Nodes:Text_Image_Zho, Text_Image_Multiline_Zho, RGB_Image_Zho, AlphaChanelAddByMask, ImageComposite_Zho, ...",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Text_Image-Composite"
+            ],
+            "id": "txtimg-composite",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Text_Image-Composite",
+            "title": "ComfyUI-Text_Image-Composite [WIP]"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Using Gemini-pro & Gemini-pro-vision in ComfyUI.",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Gemini"
+            ],
+            "id": "gemini",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Gemini",
+            "title": "ComfyUI-Gemini"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "ComfyUI Portrait Master \u7b80\u4f53\u4e2d\u6587\u7248.",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/comfyui-portrait-master-zh-cn"
+            ],
+            "id": "portrait-master-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/comfyui-portrait-master-zh-cn",
+            "title": "comfyui-portrait-master-zh-cn"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Nodes:Q-Align Scoring. Implementation of [a/Q-Align](https://arxiv.org/abs/2312.17090) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Q-Align"
+            ],
+            "id": "qalign-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Q-Align",
+            "title": "ComfyUI-Q-Align"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/InstantID](https://github.com/InstantID/InstantID) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID"
+            ],
+            "id": "instantid-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID",
+            "title": "ComfyUI-InstantID"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/PhotoMaker](https://github.com/TencentARC/PhotoMaker) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PhotoMaker-ZHO"
+            ],
+            "id": "photomaker-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PhotoMaker-ZHO",
+            "title": "ComfyUI PhotoMaker (ZHO)"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "QWen-VL-Plus & QWen-VL-Max in ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API"
+            ],
+            "id": "qwen-vl-api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API",
+            "title": "ComfyUI-Qwen-VL-API"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "My Workflows + Auxiliary nodes for Stable Video Diffusion (SVD)",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO"
+            ],
+            "id": "svd-zho",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO",
+            "title": "ComfyUI-SVD-ZHO (WIP)"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/SegMoE: Segmind Mixture of Diffusion Experts](https://github.com/segmind/segmoe) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE"
+            ],
+            "id": "segmoe",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE",
+            "title": "ComfyUI SegMoE"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/YOLO-World + EfficientSAM](https://huggingface.co/spaces/SkalskiP/YOLO-World) & [a/YOLO-World](https://github.com/AILab-CVC/YOLO-World) for ComfyUI\nNOTE: Install the efficient_sam model from the Install models menu.\n[w/When installing or updating this custom node, many installation packages may be downgraded due to the installation of requirements.\n!! python3.12 is incompatible.]",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM"
+            ],
+            "id": "yoloworld",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM",
+            "title": "ComfyUI YoloWorld-EfficientSAM"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/PixArt-alpha-Diffusers](https://github.com/PixArt-alpha/PixArt-alpha) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PixArt-alpha-Diffusers"
+            ],
+            "id": "pixart-alpha",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PixArt-alpha-Diffusers",
+            "title": "ComfyUI-PixArt-alpha-Diffusers"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of BRIA RMBG Model for ComfyUI.",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG"
+            ],
+            "id": "bria-ai-rmbg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG",
+            "title": "ComfyUI-BRIA_AI-RMBG"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/DepthFM](https://github.com/CompVis/depth-fm) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM"
+            ],
+            "id": "depthfm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM",
+            "title": "DepthFM IN COMFYUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Better version for [a/BiRefNet](https://github.com/zhengpeng7/birefnet) in ComfyUI | Both img and video",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BiRefNet-ZHO"
+            ],
+            "id": "birefnet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BiRefNet-ZHO",
+            "title": "ComfyUI-BiRefNet-ZHO"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Nodes:Phi3mini_4k_ModelLoader_Zho, Phi3mini_4k_Zho, Phi3mini_4k_Chat_Zho",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Phi-3-mini"
+            ],
+            "id": "phi3mini",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Phi-3-mini",
+            "title": "Phi-3-mini in ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Prompt Visualization | Art Gallery\n[w/WARN: Installation requires 2GB of space, and it will involve a long download time.]",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-ArtGallery"
+            ],
+            "id": "artgallery",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-ArtGallery",
+            "title": "ComfyUI-ArtGallery"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Animated optical illusions in ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Animated-optical-illusions"
+            ],
+            "id": "animated-optical-illusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Animated-optical-illusions",
+            "title": "ComfyUI-Animated-optical-illusions"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Using Qwen-2 in ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-2"
+            ],
+            "id": "qwen-2",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-2",
+            "title": "ComfyUI-Qwen-2"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "description": "Unofficial implementation of [a/UltraEdit](https://github.com/HaozheZhao/UltraEdit) (Diffusers) for ComfyUI",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-UltraEdit-ZHO"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-UltraEdit-ZHO",
+            "title": "ComfyUI-UltraEdit-ZHO"
+        },
+        {
+            "author": "kenjiqq",
+            "description": "Nodes:Any List, Image Accumulator Start, Image Accumulator End, Load Lines From Text File, XY Grid Helper, Slice List, Axis To String/Int/Float/Model, ...",
+            "files": [
+                "https://github.com/kenjiqq/qq-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kenjiqq/qq-nodes-comfyui",
+            "title": "qq-nodes-comfyui"
+        },
+        {
+            "author": "80sVectorz",
+            "description": "Adds Static Primitives to ComfyUI. Mostly to work with reroute nodes",
+            "files": [
+                "https://github.com/80sVectorz/ComfyUI-Static-Primitives"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/80sVectorz/ComfyUI-Static-Primitives",
+            "title": "ComfyUI-Static-Primitives"
+        },
+        {
+            "author": "AbdullahAlfaraj",
+            "description": "Nodes: load Image with metadata, get config data, load image from base64 string, Load Loras From Prompt, Generate Latent Noise, Combine Two Latents Into Batch, General Purpose Controlnet Unit, ControlNet Script, Content Mask Latent, Auto-Photoshop-SD Seed, Expand and Blur the Mask",
+            "files": [
+                "https://github.com/AbdullahAlfaraj/Comfy-Photoshop-SD"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AbdullahAlfaraj/Comfy-Photoshop-SD",
+            "title": "Comfy-Photoshop-SD"
+        },
+        {
+            "author": "zhuanqianfish",
+            "description": "Capture window content from other programs, easyway combined with LCM for real-time painting",
+            "files": [
+                "https://github.com/zhuanqianfish/ComfyUI-EasyNode"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zhuanqianfish/ComfyUI-EasyNode",
+            "title": "EasyCaptureNode for ComfyUI"
+        },
+        {
+            "author": "discopixel-studio",
+            "description": "Nodes:TransformTemplateOntoFaceMask, ... A small collection of custom nodes for use with ComfyUI, by Discopixel",
+            "files": [
+                "https://github.com/discopixel-studio/comfyui-discopixel"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/discopixel-studio/comfyui-discopixel",
+            "title": "ComfyUI Discopixel Nodes"
+        },
+        {
+            "author": "zcfrank1st",
+            "description": "Nodes: Yolov8Detection, Yolov8Segmentation. Deadly simple yolov8 comfyui plugin",
+            "files": [
+                "https://github.com/zcfrank1st/Comfyui-Yolov8"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zcfrank1st/Comfyui-Yolov8",
+            "title": "ComfyUI Yolov8"
+        },
+        {
+            "author": "SoftMeng",
+            "description": "Nodes: ComfyUI Mexx Styler, ComfyUI Mexx Styler Advanced",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI_Mexx_Styler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SoftMeng/ComfyUI_Mexx_Styler",
+            "title": "ComfyUI_Mexx_Styler"
+        },
+        {
+            "author": "SoftMeng",
+            "description": "Nodes: ComfyUI_Mexx_Poster",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI_Mexx_Poster"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SoftMeng/ComfyUI_Mexx_Poster",
+            "title": "ComfyUI_Mexx_Poster"
+        },
+        {
+            "author": "SoftMeng",
+            "description": "Nodes: ComfyUI_ImageToText",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI_ImageToText"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SoftMeng/ComfyUI_ImageToText",
+            "title": "ComfyUI_ImageToText"
+        },
+        {
+            "author": "SoftMeng",
+            "description": "Accelerate ComfyUI Nodes for Faster Image Generation, Ensuring Consistency Pre and Post-Acceleration, Ideal for Bulk Image Production.",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI-DeepCache-Fix"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SoftMeng/ComfyUI-DeepCache-Fix",
+            "title": "ComfyUI-DeepCache-Fix"
+        },
+        {
+            "author": "wmatson",
+            "description": "A collection of utility nodes primarily for interacting with comfy via automated systems",
+            "files": [
+                "https://github.com/wmatson/easy-comfy-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wmatson/easy-comfy-nodes",
+            "title": "easy-comfy-nodes"
+        },
+        {
+            "author": "DrJKL",
+            "description": "A ComfyUI extension to add spatial anchors/waypoints to better navigate large workflows.",
+            "files": [
+                "https://github.com/DrJKL/ComfyUI-Anchors"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DrJKL/ComfyUI-Anchors",
+            "title": "ComfyUI-Anchors"
+        },
+        {
+            "author": "vanillacode314",
+            "description": "A simple wildcard node for ComfyUI. Can also be used a style prompt node.",
+            "files": [
+                "https://github.com/vanillacode314/SimpleWildcardsComfyUI"
+            ],
+            "install_type": "git-clone",
+            "pip": [
+                "pipe"
+            ],
+            "reference": "https://github.com/vanillacode314/SimpleWildcardsComfyUI",
+            "title": "Simple Wildcard"
+        },
+        {
+            "author": "WebDev9000",
+            "description": "Nodes:Ignore Braces, Settings Switch.",
+            "files": [
+                "https://github.com/WebDev9000/WebDev9000-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/WebDev9000/WebDev9000-Nodes",
+            "title": "WebDev9000-Nodes"
+        },
+        {
+            "author": "Scholar01",
+            "description": "Nodes:Keyframe Part, Keyframe Interpolation Part, Keyframe Apply.",
+            "files": [
+                "https://github.com/Scholar01/ComfyUI-Keyframe"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Scholar01/ComfyUI-Keyframe",
+            "title": "SComfyUI-Keyframe"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Perform Bringing-Old-Photos-Back-to-Life",
+            "files": [
+                "https://github.com/Haoming02/comfyui-old-photo-restoration"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-old-photo-restoration",
+            "title": "ComfyUI Old Photo Restoration"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Color Grading for Stable Diffusion",
+            "files": [
+                "https://github.com/Haoming02/comfyui-diffusion-cg"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-diffusion-cg",
+            "title": "Diffusion CG"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Add a button that formats the prompts in textfields",
+            "files": [
+                "https://github.com/Haoming02/comfyui-prompt-format"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-prompt-format",
+            "title": "Prompt Format"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Add a button that clears the console",
+            "files": [
+                "https://github.com/Haoming02/comfyui-clear-screen"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-clear-screen",
+            "title": "Clear Screen"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Snaps the menu to the corner automatically",
+            "files": [
+                "https://github.com/Haoming02/comfyui-menu-anchor"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-menu-anchor",
+            "title": "Menu Anchor"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Use the Tab key to switch between textfields",
+            "files": [
+                "https://github.com/Haoming02/comfyui-tab-handler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-tab-handler",
+            "title": "Tab Handler"
+        },
+        {
+            "author": "Haoming02",
+            "description": "A node that allows you to switch between execution flow",
+            "files": [
+                "https://github.com/Haoming02/comfyui-floodgate"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-floodgate",
+            "title": "Floodgate"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Add a button that formats the workflow graph",
+            "files": [
+                "https://github.com/Haoming02/comfyui-node-beautify"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-node-beautify",
+            "title": "Node Beautify"
+        },
+        {
+            "author": "Haoming02",
+            "description": "Manipulate the details of generations.",
+            "files": [
+                "https://github.com/Haoming02/comfyui-resharpen"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Haoming02/comfyui-resharpen",
+            "title": "ComfyUI ReSharpen"
+        },
+        {
+            "author": "bedovyy",
+            "description": "This extension helps generate images through NAI.",
+            "files": [
+                "https://github.com/bedovyy/ComfyUI_NAIDGenerator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bedovyy/ComfyUI_NAIDGenerator",
+            "title": "ComfyUI_NAIDGenerator"
+        },
+        {
+            "author": "Off-Live",
+            "description": "Nodes:Image Crop Fit, OFF SEGS to Image, Crop Center wigh SEGS, Watermarking, GW Number Formatting Node.",
+            "files": [
+                "https://github.com/Off-Live/ComfyUI-off-suite"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Off-Live/ComfyUI-off-suite",
+            "title": "ComfyUI-off-suite"
+        },
+        {
+            "author": "ningxiaoxiao",
+            "description": "Real-time input output node for ComfyUI by NDI. Leveraging the powerful linking capabilities of NDI, you can access NDI video stream frames and send images generated by the model to NDI video streams.",
+            "files": [
+                "https://github.com/ningxiaoxiao/comfyui-NDI"
+            ],
+            "install_type": "git-clone",
+            "pip": [
+                "ndi-python"
+            ],
+            "reference": "https://github.com/ningxiaoxiao/comfyui-NDI",
+            "title": "comfyui-NDI"
+        },
+        {
+            "author": "subtleGradient",
+            "description": "Two-finger scrolling (vertical and horizontal) to pan the canvas. Two-finger pinch to zoom in and out. Command-scroll up and down to zoom in and out. Fixes [a/comfyanonymous/ComfyUI#2059](https://github.com/comfyanonymous/ComfyUI/issues/2059).",
+            "files": [
+                "https://github.com/subtleGradient/TinkerBot-tech-for-ComfyUI-Touchpad"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/subtleGradient/TinkerBot-tech-for-ComfyUI-Touchpad",
+            "title": "Touchpad two-finger gesture support for macOS"
+        },
+        {
+            "author": "zcfrank1st",
+            "description": "Nodes:visual_anagrams_sample, visual_anagrams_animate",
+            "files": [
+                "https://github.com/zcfrank1st/comfyui_visual_anagrams"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zcfrank1st/comfyui_visual_anagrams",
+            "title": "comfyui_visual_anagram"
+        },
+        {
+            "author": "Electrofried",
+            "description": "A simply node for hooking in to openAI API based servers via comfyUI",
+            "files": [
+                "https://github.com/Electrofried/ComfyUI-OpenAINode"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Electrofried/ComfyUI-OpenAINode",
+            "title": "OpenAINode"
+        },
+        {
+            "author": "AustinMroz",
+            "description": "Experimental utility nodes with a focus on manipulation of noised latents",
+            "files": [
+                "https://github.com/AustinMroz/ComfyUI-SpliceTools"
+            ],
+            "id": "splicetools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AustinMroz/ComfyUI-SpliceTools",
+            "title": "SpliceTools"
+        },
+        {
+            "author": "AustinMroz",
+            "description": "Nodes:DynamicSampler, MeasuredSampler, ResolveMaskPromise",
+            "files": [
+                "https://github.com/AustinMroz/ComfyUI-DynamicOversampling"
+            ],
+            "id": "dynamic-oversampling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AustinMroz/ComfyUI-DynamicOversampling",
+            "title": "DynamicOversampling"
+        },
+        {
+            "author": "AustinMroz",
+            "description": "Automatically creates checkpoints during workflow execution. If If an workflow is canceled or ComfyUI crashes mid-execution, then these checkpoints are used when the workflow is re-queued to resume execution with minimal progress loss.",
+            "files": [
+                "https://github.com/AustinMroz/ComfyUI-WorkflowCheckpointing"
+            ],
+            "id": "workflowcheckpointing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AustinMroz/ComfyUI-WorkflowCheckpointing",
+            "title": "ComfyUI-WorkflowCheckpointing"
+        },
+        {
+            "author": "11cafe",
+            "description": "A ComfyUI custom node for project management to centralize the management of all your workflows in one place. Seamlessly switch between workflows, create and update them within a single workspace, like Google Docs.",
+            "files": [
+                "https://github.com/11cafe/comfyui-workspace-manager"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/11cafe/comfyui-workspace-manager",
+            "title": "ComfyUI Workspace Manager - Comfyspace"
+        },
+        {
+            "author": "knuknX",
+            "description": "Nodes:BatchImageResizeProcessor, SingleImagePathLoader, SingleImageUrlLoader",
+            "files": [
+                "https://github.com/knuknX/ComfyUI-Image-Tools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/knuknX/ComfyUI-Image-Tools",
+            "title": "ComfyUI-Image-Tools"
+        },
+        {
+            "author": "jtrue",
+            "description": "A collection of nodes powering a tensor oracle on a home network with automation",
+            "files": [
+                "https://github.com/jtrue/ComfyUI-JaRue"
+            ],
+            "install_type": "git-clone",
+            "nodename_pattern": "_jru$",
+            "reference": "https://github.com/jtrue/ComfyUI-JaRue",
+            "title": "ComfyUI-JaRue"
+        },
+        {
+            "author": "filliptm",
+            "description": "VFX nodes, Shaders, Utilities, Mask tools, Prompting Tools, and much more!",
+            "files": [
+                "https://github.com/filliptm/ComfyUI_Fill-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/filliptm/ComfyUI_Fill-Nodes",
+            "title": "ComfyUI_Fill-Nodes"
+        },
+        {
+            "author": "zfkun",
+            "description": "A collection of nodes for common tools, including text preview, text translation (multi-platform, multi-language), image loader, webcamera capture.",
+            "files": [
+                "https://github.com/zfkun/ComfyUI_zfkun"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zfkun/ComfyUI_zfkun",
+            "title": "ComfyUI_zfkun"
+        },
+        {
+            "author": "zcfrank1st",
+            "description": "Nodes:Preview Json, Save Json, Test Json Preview, ... preview and save nodes",
+            "files": [
+                "https://github.com/zcfrank1st/Comfyui-Toolbox"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zcfrank1st/Comfyui-Toolbox",
+            "title": "Comfyui-Toolbox"
+        },
+        {
+            "author": "talesofai",
+            "description": "This is an image/video/workflow browser and manager for ComfyUI. You could add image/video/workflow to collections and load it to ComfyUI. You will be able to use your collections everywhere.",
+            "files": [
+                "https://github.com/talesofai/comfyui-browser"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/talesofai/comfyui-browser",
+            "title": "ComfyUI Browser"
+        },
+        {
+            "author": "yolain",
+            "description": "To enhance the usability of ComfyUI, optimizations and integrations have been implemented for several commonly used nodes.",
+            "files": [
+                "https://github.com/yolain/ComfyUI-Easy-Use"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/yolain/ComfyUI-Easy-Use",
+            "title": "ComfyUI Easy Use"
+        },
+        {
+            "author": "bruefire",
+            "description": "This is an extension node for ComfyUI that allows you to load frames from a video in bulk and perform masking and sketching on each frame through a GUI.",
+            "files": [
+                "https://github.com/bruefire/ComfyUI-SeqImageLoader"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bruefire/ComfyUI-SeqImageLoader",
+            "title": "ComfyUI Sequential Image Loader"
+        },
+        {
+            "author": "mmaker",
+            "description": "Node: Color Enhance, Color Blend. This is the same algorithm GIMP/GEGL uses for color enhancement. The gist of this implementation is that it converts the color space to CIELCh(ab) and normalizes the chroma (or [colorfulness](https://en.wikipedia.org/wiki/Colorfulness)] component. Original source can be found in the link below.",
+            "files": [
+                "https://git.mmaker.moe/mmaker/sd-webui-color-enhance"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://git.mmaker.moe/mmaker/sd-webui-color-enhance",
+            "title": "mmaker/Color Enhance"
+        },
+        {
+            "author": "modusCell",
+            "description": "Simple node for sharing latent image size between nodes. Preset dimensions for SD and XL.",
+            "files": [
+                "https://github.com/modusCell/ComfyUI-dimension-node-modusCell"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/modusCell/ComfyUI-dimension-node-modusCell",
+            "title": "Preset Dimensions"
+        },
+        {
+            "author": "aria1th",
+            "description": "Logical Utils (compare, string, boolean operations) for ComfyUI",
+            "files": [
+                "https://github.com/aria1th/ComfyUI-LogicUtils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/aria1th/ComfyUI-LogicUtils",
+            "title": "ComfyUI-LogicUtils"
+        },
+        {
+            "author": "MitoshiroPJ",
+            "description": "This custom node allow controlling output without training. The reducing method is similar to [a/Spatial-Reduction Attention](https://paperswithcode.com/method/spatial-reduction-attention), but generating speed may not be increased on typical image sizes due to overheads. (In some cases, slightly slower)",
+            "files": [
+                "https://github.com/MitoshiroPJ/comfyui_slothful_attention"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MitoshiroPJ/comfyui_slothful_attention",
+            "title": "ComfyUI Slothful Attention"
+        },
+        {
+            "author": "brianfitzgerald",
+            "description": "Implementation of the [a/StyleAligned](https://style-aligned-gen.github.io/) paper for ComfyUI. This node allows you to apply a consistent style to all images in a batch; by default it will use the first image in the batch as the style reference, forcing all other images to be consistent with it.",
+            "files": [
+                "https://github.com/brianfitzgerald/style_aligned_comfy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/brianfitzgerald/style_aligned_comfy",
+            "title": "StyleAligned for ComfyUI"
+        },
+        {
+            "author": "deroberon",
+            "description": "The Demofusion Custom Node is a wrapper that adapts the work and implementation of the [a/DemoFusion](https://ruoyidu.github.io/demofusion/demofusion.html) technique created and implemented by Ruoyi Du to the Comfyui environment.",
+            "files": [
+                "https://github.com/deroberon/demofusion-comfyui"
+            ],
+            "id": "demofusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/deroberon/demofusion-comfyui",
+            "title": "demofusion-comfyui"
+        },
+        {
+            "author": "deroberon",
+            "description": "StableZero123 is a node wrapper that uses the model and technique provided [here](https://github.com/SUDO-AI-3D/zero123plus/). It uses the Zero123plus model to generate 3D views using just one image.",
+            "files": [
+                "https://github.com/deroberon/StableZero123-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/deroberon/StableZero123-comfyui",
+            "title": "StableZero123-comfyui"
+        },
+        {
+            "author": "glifxyz",
+            "description": "Custom set of nodes used by glif.app. With glif you can build mini apps that are powered by custom comfy workflows.",
+            "files": [
+                "https://github.com/glifxyz/ComfyUI-GlifNodes"
+            ],
+            "id": "glif",
+            "install_type": "git-clone",
+            "reference": "https://github.com/glifxyz/ComfyUI-GlifNodes",
+            "title": "ComfyUI-GlifNodes"
+        },
+        {
+            "author": "concarne000",
+            "description": "Nodes:Bing Image Grabber, Zephyr chat, Hermes Chat",
+            "files": [
+                "https://github.com/concarne000/ConCarneNode"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/concarne000/ConCarneNode",
+            "title": "ConCarneNode"
+        },
+        {
+            "author": "Aegis72",
+            "description": "These nodes will be placed in comfyui/custom_nodes/aegisflow and contains the image passer (accepts an image as either wired or wirelessly, input and passes it through. Latent passer does the same for latents, and the Preprocessor chooser allows a passthrough image and 10 controlnets to be passed in AegisFlow Shima. The inputs on the Preprocessor  chooser should not be renamed if you intend to accept image inputs wirelessly through UE nodes. It can be done, but the send node input regex for each controlnet preprocessor column must also be changed.",
+            "files": [
+                "https://github.com/aegis72/aegisflow_utility_nodes"
+            ],
+            "id": "aegis",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aegis72/aegisflow_utility_nodes",
+            "title": "AegisFlow Utility Nodes"
+        },
+        {
+            "author": "Aegis72",
+            "description": "This is a straight clone of Azazeal04's all-in-one styler menu, which was removed from gh on Jan 21, 2024. I have made no changes to the files at all.",
+            "files": [
+                "https://github.com/aegis72/comfyui-styles-all"
+            ],
+            "id": "styles-all",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aegis72/comfyui-styles-all",
+            "title": "ComfyUI-styles-all"
+        },
+        {
+            "author": "glibsonoran",
+            "description": "Nodes: Style Prompt, OAI Dall_e Image. Plush contains two OpenAI enabled nodes: Style Prompt: Takes your prompt and the art style you specify and generates a prompt from ChatGPT3 or 4 that Stable Diffusion can use to generate an image in that style. OAI Dall_e 3: Takes your prompt and parameters and produces a Dall_e3 image in ComfyUI.",
+            "files": [
+                "https://github.com/glibsonoran/Plush-for-ComfyUI"
+            ],
+            "id": "plush",
+            "install_type": "git-clone",
+            "reference": "https://github.com/glibsonoran/Plush-for-ComfyUI",
+            "title": "Plush-for-ComfyUI"
+        },
+        {
+            "author": "vienteck",
+            "description": "This extension is a reimagined version based on the [a/ComfyUI-QualityOfLifeSuit_Omar92](https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92) extension, and it supports integration with ChatGPT through the new OpenAI API.\nNOTE: See detailed installation instructions on the [a/repository](https://github.com/vienteck/ComfyUI-Chat-GPT-Integration).",
+            "files": [
+                "https://github.com/vienteck/ComfyUI-Chat-GPT-Integration"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/vienteck/ComfyUI-Chat-GPT-Integration",
+            "title": "ComfyUI-Chat-GPT-Integration"
+        },
+        {
+            "author": "MNeMoNiCuZ",
+            "description": "Nodes: Save Text File, Download Image from URL, Groq LLM API, Generate Negative Prompt (experimental)",
+            "files": [
+                "https://github.com/MNeMoNiCuZ/ComfyUI-mnemic-nodes"
+            ],
+            "id": "mnemic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MNeMoNiCuZ/ComfyUI-mnemic-nodes",
+            "title": "ComfyUI-mnemic-nodes"
+        },
+        {
+            "author": "AI2lab",
+            "description": "tool set for developing workflow and publish to web api server",
+            "files": [
+                "https://github.com/AI2lab/comfyUI-tool-2lab"
+            ],
+            "id": "tool-2lab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AI2lab/comfyUI-tool-2lab",
+            "title": "comfyUI-tool-2lab"
+        },
+        {
+            "author": "AI2lab",
+            "description": "Unofficial implementation of DeepSeek for ComfyUI",
+            "files": [
+                "https://github.com/AI2lab/comfyUI-DeepSeek-2lab"
+            ],
+            "id": "deepseek",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AI2lab/comfyUI-DeepSeek-2lab",
+            "title": "comfyUI-DeepSeek-2lab"
+        },
+        {
+            "author": "AI2lab",
+            "description": "Unofficial implementation of siliconflow API for ComfyUI\nHow to use:apply api key in \uff1ahttps://cloud.siliconflow.cn/\nadd api key in config.json",
+            "files": [
+                "https://github.com/AI2lab/comfyUI-siliconflow-api-2lab"
+            ],
+            "id": "siliconflow",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AI2lab/comfyUI-siliconflow-api-2lab",
+            "title": "comfyUI-siliconflow-api-2lab"
+        },
+        {
+            "author": "SpaceKendo",
+            "description": "This is node replaces the init_image conditioning for the [a/Stable Video Diffusion](https://github.com/Stability-AI/generative-models) image to video model with text embeds, together with a conditioning frame. The conditioning frame is a set of latents.",
+            "files": [
+                "https://github.com/SpaceKendo/ComfyUI-svd_txt2vid"
+            ],
+            "id": "svd-txt2vid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SpaceKendo/ComfyUI-svd_txt2vid",
+            "title": "Text to video for Stable Video Diffusion in ComfyUI"
+        },
+        {
+            "author": "NimaNzrii",
+            "description": "popup preview for comfyui",
+            "files": [
+                "https://github.com/NimaNzrii/comfyui-popup_preview"
+            ],
+            "id": "popup-preview",
+            "install_type": "git-clone",
+            "reference": "https://github.com/NimaNzrii/comfyui-popup_preview",
+            "title": "comfyui-popup_preview"
+        },
+        {
+            "author": "NimaNzrii",
+            "description": "Powerfull bridge to Photoshop by NimaNzrii",
+            "files": [
+                "https://github.com/NimaNzrii/comfyui-photoshop"
+            ],
+            "id": "comfy-photoshop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/NimaNzrii/comfyui-photoshop",
+            "title": "comfyui-photoshop"
+        },
+        {
+            "author": "Rui",
+            "description": "Rui's workflow-specific custom node, written using GPT.",
+            "files": [
+                "https://github.com/rui40000/RUI-Nodes"
+            ],
+            "id": "rui-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/rui40000/RUI-Nodes",
+            "title": "RUI-Nodes"
+        },
+        {
+            "author": "dmarx",
+            "description": "ComfyUI nodes to facilitate parameter/prompt keyframing using comfyui nodes for defining and manipulating parameter curves. Essentially provides a ComfyUI interface to the [a/keyframed](https://github.com/dmarx/keyframed) library.",
+            "files": [
+                "https://github.com/dmarx/ComfyUI-Keyframed"
+            ],
+            "id": "keyframed",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dmarx/ComfyUI-Keyframed",
+            "title": "ComfyUI-Keyframed"
+        },
+        {
+            "author": "dmarx",
+            "description": "porting audioreactivity pipeline from vktrs to comfyui.",
+            "files": [
+                "https://github.com/dmarx/ComfyUI-AudioReactive"
+            ],
+            "id": "audioreactive",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dmarx/ComfyUI-AudioReactive",
+            "title": "ComfyUI-AudioReactive"
+        },
+        {
+            "author": "TripleHeadedMonkey",
+            "description": "This extension provides various SDXL Prompt Stylers. See: [a/youtube](https://youtu.be/WBHI-2uww7o?si=dijvDaUI4nmx4VkF)",
+            "files": [
+                "https://github.com/TripleHeadedMonkey/ComfyUI_MileHighStyler"
+            ],
+            "id": "milehighstyler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TripleHeadedMonkey/ComfyUI_MileHighStyler",
+            "title": "ComfyUI_MileHighStyler"
+        },
+        {
+            "author": "BennyKok",
+            "description": "Open source comfyui deployment platform, a vercel for generative workflow infra.",
+            "files": [
+                "https://github.com/BennyKok/comfyui-deploy"
+            ],
+            "id": "comfy-deploy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BennyKok/comfyui-deploy",
+            "title": "ComfyUI Deploy"
+        },
+        {
+            "author": "florestefano1975",
+            "description": "ComfyUI Portrait Master. A node designed to help AI image creators to generate prompts for human portraits.",
+            "files": [
+                "https://github.com/florestefano1975/comfyui-portrait-master"
+            ],
+            "id": "portrait-master",
+            "install_type": "git-clone",
+            "reference": "https://github.com/florestefano1975/comfyui-portrait-master",
+            "title": "comfyui-portrait-master"
+        },
+        {
+            "author": "florestefano1975",
+            "description": "A suite of tools for prompt management. Combining nodes helps the user sequence strings for prompts, also creating logical groupings if necessary. Individual nodes can be chained together in any order.",
+            "files": [
+                "https://github.com/florestefano1975/comfyui-prompt-composer"
+            ],
+            "id": "prompt-composer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/florestefano1975/comfyui-prompt-composer",
+            "title": "comfyui-prompt-composer"
+        },
+        {
+            "author": "florestefano1975",
+            "description": "This fork of the official StabilityAI repository contains a number of enhancements and implementations.",
+            "files": [
+                "https://github.com/florestefano1975/ComfyUI-StabilityAI-Suite"
+            ],
+            "id": "sai-suite",
+            "install_type": "git-clone",
+            "reference": "https://github.com/florestefano1975/ComfyUI-StabilityAI-Suite",
+            "title": "ComfyUI StabilityAI Suite"
+        },
+        {
+            "author": "florestefano1975",
+            "description": "Simple custom nodes for testing and use HiDiffusion technology: https://github.com/megvii-research/HiDiffusion/",
+            "files": [
+                "https://github.com/florestefano1975/ComfyUI-HiDiffusion"
+            ],
+            "id": "hidiffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/florestefano1975/ComfyUI-HiDiffusion",
+            "title": "ComfyUI HiDiffusion"
+        },
+        {
+            "author": "florestefano1975",
+            "description": "A simple seed generator based on special number sequences: Fibonacci, Prime, Padovan, Triangular, Catalan, Pell, Lucas",
+            "files": [
+                "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed"
+            ],
+            "id": "adv-seq-seed-gen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed",
+            "title": "Advanced Sequence Seed Generator"
+        },
+        {
+            "author": "mozman",
+            "description": "This extension provides styler nodes for SDXL.\n\nNOTE: Due to the dynamic nature of node name definitions, ComfyUI-Manager cannot recognize the node list from this extension. The Missing nodes and Badge features are not available for this extension.",
+            "files": [
+                "https://github.com/mozman/ComfyUI_mozman_nodes"
+            ],
+            "id": "mozman-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mozman/ComfyUI_mozman_nodes",
+            "title": "ComfyUI_mozman_nodes"
+        },
+        {
+            "author": "rcsaquino",
+            "description": "Nodes: VAE Processor, VAE Loader, Background Remover",
+            "files": [
+                "https://github.com/rcsaquino/comfyui-custom-nodes"
+            ],
+            "id": "rcsaquino-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/rcsaquino/comfyui-custom-nodes",
+            "title": "rcsaquino/comfyui-custom-nodes"
+        },
+        {
+            "author": "rcfcu2000",
+            "description": "Nodes: Combine ZHGMasks, Cover ZHGMasks, ZHG FaceIndex, ZHG SaveImage, ZHG SmoothEdge, ZHG GetMaskArea, ...",
+            "files": [
+                "https://github.com/rcfcu2000/zhihuige-nodes-comfyui"
+            ],
+            "id": "zhihuige-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/rcfcu2000/zhihuige-nodes-comfyui",
+            "title": "zhihuige-nodes-comfyui"
+        },
+        {
+            "author": "IDGallagher",
+            "description": "Custom nodes to aid in the exploration of Latent Space",
+            "files": [
+                "https://github.com/IDGallagher/ComfyUI-IG-Nodes"
+            ],
+            "id": "ig-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/IDGallagher/ComfyUI-IG-Nodes",
+            "title": "IG Interpolation Nodes"
+        },
+        {
+            "author": "violet-chen",
+            "description": "Nodes: Psd2Png.",
+            "files": [
+                "https://github.com/violet-chen/comfyui-psd2png"
+            ],
+            "id": "psd2png",
+            "install_type": "git-clone",
+            "reference": "https://github.com/violet-chen/comfyui-psd2png",
+            "title": "comfyui-psd2png"
+        },
+        {
+            "author": "lldacing",
+            "description": "Provides some features and nodes related to API calls.",
+            "files": [
+                "https://github.com/lldacing/comfyui-easyapi-nodes"
+            ],
+            "id": "easyapi",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lldacing/comfyui-easyapi-nodes",
+            "title": "comfyui-easyapi-nodes"
+        },
+        {
+            "author": "CosmicLaca",
+            "description": "This extension provides various utility nodes. Inputs(prompt, styles, dynamic, merger, ...), Outputs(style pile), Dashboard(selectors, loader, switch, ...), Networks(LORA, Embedding, Hypernetwork), Visuals(visual selectors, )",
+            "files": [
+                "https://github.com/CosmicLaca/ComfyUI_Primere_Nodes"
+            ],
+            "id": "primere",
+            "install_type": "git-clone",
+            "reference": "https://github.com/CosmicLaca/ComfyUI_Primere_Nodes",
+            "title": "Primere nodes for ComfyUI"
+        },
+        {
+            "author": "RenderRift",
+            "description": "Nodes:RR_Date_Folder_Format, RR_Image_Metadata_Overlay, RR_VideoPathMetaExtraction, RR_DisplayMetaOptions. This extension provides nodes designed to enhance the Animatediff workflow.",
+            "files": [
+                "https://github.com/RenderRift/ComfyUI-RenderRiftNodes"
+            ],
+            "id": "renderrift",
+            "install_type": "git-clone",
+            "reference": "https://github.com/RenderRift/ComfyUI-RenderRiftNodes",
+            "title": "ComfyUI-RenderRiftNodes"
+        },
+        {
+            "author": "OpenArt-AI",
+            "description": "ComfyUI Assistant is your one stop plugin for everything you need to get started with comfy-ui. Now it provides useful courses, tutorials, and basic templates.",
+            "files": [
+                "https://github.com/OpenArt-AI/ComfyUI-Assistant"
+            ],
+            "id": "openart",
+            "install_type": "git-clone",
+            "reference": "https://github.com/OpenArt-AI/ComfyUI-Assistant",
+            "title": "ComfyUI Assistant"
+        },
+        {
+            "author": "ttulttul",
+            "description": "Nodes to use Florence2 VLM for image vision tasks: object detection, captioning, segmentation and ocr",
+            "files": [
+                "https://github.com/ttulttul/ComfyUI-Iterative-Mixer"
+            ],
+            "id": "itermix",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ttulttul/ComfyUI-Iterative-Mixer",
+            "title": "ComfyUI Iterative Mixing Nodes"
+        },
+        {
+            "author": "ttulttul",
+            "description": "This repo contains nodes for ComfyUI that implement some helpful operations on tensors, such as normalization.",
+            "files": [
+                "https://github.com/ttulttul/ComfyUI-Tensor-Operations"
+            ],
+            "id": "tensorop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ttulttul/ComfyUI-Tensor-Operations",
+            "title": "ComfyUI-Tensor-Operations"
+        },
+        {
+            "author": "jitcoder",
+            "description": "Shows Lora information from CivitAI and outputs trigger words and example prompt",
+            "files": [
+                "https://github.com/jitcoder/lora-info"
+            ],
+            "id": "lorainfo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jitcoder/lora-info",
+            "title": "LoraInfo"
+        },
+        {
+            "author": "ceruleandeep",
+            "description": "A ComfyUI extension for chatting with your images. Runs on your own system, no external services used, no filter. Uses the [a/LLaVA multimodal LLM](https://llava-vl.github.io/) so you can give instructions or ask questions in natural language. It's maybe as smart as GPT3.5, and it can see.",
+            "files": [
+                "https://github.com/ceruleandeep/ComfyUI-LLaVA-Captioner"
+            ],
+            "id": "llava-captioner",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ceruleandeep/ComfyUI-LLaVA-Captioner",
+            "title": "ComfyUI LLaVA Captioner"
+        },
+        {
+            "author": "styler00dollar",
+            "description": "Directly upscaling inside the latent space. Model was trained for SD1.5 and drawn content. Might add new architectures or update models at some point. This took heavy inspriration from [city96/SD-Latent-Upscaler](https://github.com/city96/SD-Latent-Upscaler) and [Ttl/ComfyUi_NNLatentUpscale](https://github.com/Ttl/ComfyUi_NNLatentUpscale). ",
+            "files": [
+                "https://github.com/styler00dollar/ComfyUI-sudo-latent-upscale"
+            ],
+            "id": "sudo-latent-upscale",
+            "install_type": "git-clone",
+            "reference": "https://github.com/styler00dollar/ComfyUI-sudo-latent-upscale",
+            "title": "ComfyUI-sudo-latent-upscale"
+        },
+        {
+            "author": "styler00dollar",
+            "description": "This extension provides nodes for [a/DeepCache: Accelerating Diffusion Models for Free](https://arxiv.org/abs/2312.00858)\nNOTE:Original code can be found [a/here](https://gist.github.com/laksjdjf/435c512bc19636e9c9af4ee7bea9eb86). Full credit to laksjdjf for sharing the code. ",
+            "files": [
+                "https://github.com/styler00dollar/ComfyUI-deepcache"
+            ],
+            "id": "deepcache",
+            "install_type": "git-clone",
+            "reference": "https://github.com/styler00dollar/ComfyUI-deepcache",
+            "title": "ComfyUI-deepcache"
+        },
+        {
+            "author": "HarroweD and quadmoon",
+            "description": "Harronode is a custom node designed to build prompts easily for use with the Harrlogos SDXL LoRA. This Node simplifies the process of crafting prompts and makes all built in activation terms available at your fingertips.",
+            "files": [
+                "https://github.com/NotHarroweD/Harronode"
+            ],
+            "id": "harrlogos-prompt-builder",
+            "install_type": "git-clone",
+            "nodename_pattern": "Harronode",
+            "reference": "https://github.com/NotHarroweD/Harronode",
+            "title": "Harrlogos Prompt Builder Node"
+        },
+        {
+            "author": "Limitex",
+            "description": "Nodes: Center Calculation. Improved Numerical Calculation for ComfyUI",
+            "files": [
+                "https://github.com/Limitex/ComfyUI-Calculation"
+            ],
+            "id": "calc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Limitex/ComfyUI-Calculation",
+            "title": "ComfyUI-Calculation"
+        },
+        {
+            "author": "Limitex",
+            "description": "This extension enables the use of the diffuser pipeline in ComfyUI.",
+            "files": [
+                "https://github.com/Limitex/ComfyUI-Diffusers"
+            ],
+            "id": "diffusers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Limitex/ComfyUI-Diffusers",
+            "title": "ComfyUI-Diffusers"
+        },
+        {
+            "author": "aiXander",
+            "description": "Maintained by Eden.art, this is a growing suite of custom nodes for building advanced pipelines.",
+            "files": [
+                "https://github.com/edenartlab/eden_comfy_pipelines"
+            ],
+            "id": "eden",
+            "install_type": "git-clone",
+            "reference": "https://github.com/edenartlab/eden_comfy_pipelines",
+            "title": "Eden.art nodesuite"
+        },
+        {
+            "author": "aiXander",
+            "description": "Maintained by Eden.art, this is a very fast, well tuned trainer for SDXL and SD15",
+            "files": [
+                "https://github.com/edenartlab/sd-lora-trainer"
+            ],
+            "id": "eden-lora-trainer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/edenartlab/sd-lora-trainer",
+            "title": "Eden.art LoRa Trainer"
+        },
+        {
+            "author": "pkpk",
+            "description": "A custom node on ComfyUI that saves images in AVIF format. Workflow can be loaded from images saved at this node.",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-SaveAVIF"
+            ],
+            "id": "saveavif",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pkpkTech/ComfyUI-SaveAVIF",
+            "title": "ComfyUI-SaveAVIF"
+        },
+        {
+            "author": "pkpkTech",
+            "description": "Use ngrok to allow external access to ComfyUI.\nNOTE: Need to manually modify a token inside the __init__.py file.",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-ngrok"
+            ],
+            "id": "ngrok",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pkpkTech/ComfyUI-ngrok",
+            "title": "ComfyUI-ngrok"
+        },
+        {
+            "author": "pkpk",
+            "description": "This is a custom node of ComfyUI that downloads and loads models from the input URL. The model is temporarily downloaded into memory and not saved to storage.\nThis could be useful when trying out models or when using various models on machines with limited storage. Since the model is downloaded into memory, expect higher memory usage than usual.",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-TemporaryLoader"
+            ],
+            "id": "temploader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pkpkTech/ComfyUI-TemporaryLoader",
+            "title": "ComfyUI-TemporaryLoader"
+        },
+        {
+            "author": "pkpkTech",
+            "description": "Add a button to the menu to save and load the running queue and the pending queues.\nThis is intended to be used when you want to exit ComfyUI with queues still remaining.",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-SaveQueues"
+            ],
+            "id": "savequeues",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pkpkTech/ComfyUI-SaveQueues",
+            "title": "ComfyUI-SaveQueues"
+        },
+        {
+            "author": "Crystian",
+            "description": "With this suit, you can see the resources monitor, progress bar & time elapsed, metadata and compare between two images, compare between two JSONs, show any value to console/display, pipes, and more!\nThis provides better nodes to load/save images, previews, etc, and see \"hidden\" data without loading a new workflow.",
+            "files": [
+                "https://github.com/crystian/ComfyUI-Crystools"
+            ],
+            "id": "crytools",
+            "install_type": "git-clone",
+            "nodename_pattern": " \\[Crystools\\]$",
+            "reference": "https://github.com/crystian/ComfyUI-Crystools",
+            "title": "Crystools"
+        },
+        {
+            "author": "Crystian",
+            "description": "With this quality of life extension, you can save your workflow with a specific name and include additional details such as the author, a description, and the version (in metadata/json). Important: When you share your workflow (via png/json), others will be able to see your information!",
+            "files": [
+                "https://github.com/crystian/ComfyUI-Crystools-save"
+            ],
+            "id": "crytools-save",
+            "install_type": "git-clone",
+            "reference": "https://github.com/crystian/ComfyUI-Crystools-save",
+            "title": "Crystools-save"
+        },
+        {
+            "author": "Kangkang625",
+            "description": "This repo is a simple implementation of [a/Paint-by-Example](https://github.com/Fantasy-Studio/Paint-by-Example) based on its [a/huggingface pipeline](https://huggingface.co/Fantasy-Studio/Paint-by-Example).",
+            "files": [
+                "https://github.com/Kangkang625/ComfyUI-paint-by-example"
+            ],
+            "id": "paint-by-example",
+            "install_type": "git-clone",
+            "pip": [
+                "diffusers"
+            ],
+            "reference": "https://github.com/Kangkang625/ComfyUI-paint-by-example",
+            "title": "ComfyUI-Paint-by-Example"
+        },
+        {
+            "author": "54rt1n",
+            "description": "ComfyUI powertools for SD1.5 and SDXL model merging.",
+            "files": [
+                "https://github.com/54rt1n/ComfyUI-DareMerge"
+            ],
+            "id": "daremerge",
+            "install_type": "git-clone",
+            "reference": "https://github.com/54rt1n/ComfyUI-DareMerge",
+            "title": "ComfyUI-DareMerge"
+        },
+        {
+            "author": "an90ray",
+            "description": "Nodes: RErouter, String (RE), Int (RE)",
+            "files": [
+                "https://github.com/an90ray/ComfyUI_RErouter_CustomNodes"
+            ],
+            "id": "rerouter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/an90ray/ComfyUI_RErouter_CustomNodes",
+            "title": "ComfyUI_RErouter_CustomNodes"
+        },
+        {
+            "author": "jesenzhang",
+            "description": "This is a simple implementation StreamDiffusion(A Pipeline-Level Solution for Real-Time Interactive Generation) for ComfyUI",
+            "files": [
+                "https://github.com/jesenzhang/ComfyUI_StreamDiffusion"
+            ],
+            "id": "streamdiffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jesenzhang/ComfyUI_StreamDiffusion",
+            "title": "ComfyUI_StreamDiffusion"
+        },
+        {
+            "author": "ai-liam",
+            "description": "Nodes: LiamLoadImage. This node provides the capability to load images from a URL.",
+            "files": [
+                "https://github.com/ai-liam/comfyui_liam_util"
+            ],
+            "id": "liam-util-single",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ai-liam/comfyui_liam_util",
+            "title": "LiamUtil (single node)"
+        },
+        {
+            "author": "ai-liam",
+            "description": "Nodes: LiamLibLoadImage, LiamLibImageToGray, LiamLibSaveImg, LiamLibFillImage, PreviewReliefImage, GetBetterDepthImage, LiamLibSaveText",
+            "files": [
+                "https://github.com/ai-liam/comfyui-liam"
+            ],
+            "id": "liam-util",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ai-liam/comfyui-liam",
+            "title": "LiamUtil"
+        },
+        {
+            "author": "Ryuukeisyou",
+            "description": "This is a set of custom nodes for ComfyUI. The nodes utilize the [a/face parsing model](https://huggingface.co/jonathandinu/face-parsing) to provide detailed segmantation of face. To improve face segmantation accuracy, [a/yolov8 face model](https://huggingface.co/Bingsu/adetailer/) is used to first extract face from an image. There are also auxiliary nodes for image and mask processing. A guided filter is also provided for skin smoothing.",
+            "files": [
+                "https://github.com/Ryuukeisyou/comfyui_face_parsing"
+            ],
+            "id": "face-parsing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ryuukeisyou/comfyui_face_parsing",
+            "title": "comfyui_face_parsing"
+        },
+        {
+            "author": "Ryuukeisyou",
+            "description": "ComfyUI implemntation for [a/SyncTalk](https://github.com/ZiqiaoPeng/SyncTalk)",
+            "files": [
+                "https://github.com/Ryuukeisyou/ComfyUI-SyncTalk"
+            ],
+            "id": "synctalk",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ryuukeisyou/ComfyUI-SyncTalk",
+            "title": "ComfyUI-SyncTalk"
+        },
+        {
+            "author": "tocubed",
+            "description": "Nodes: Shadertoy, Load Audio (from Path), Audio Frame Transform (Shadertoy), Audio Frame Transform (Beats)",
+            "files": [
+                "https://github.com/tocubed/ComfyUI-AudioReactor"
+            ],
+            "id": "audioreactor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tocubed/ComfyUI-AudioReactor",
+            "title": "ComfyUI-AudioReactor"
+        },
+        {
+            "author": "ntc-ai",
+            "description": "An experiment about combining multiple LoRAs with [a/DARE](https://arxiv.org/pdf/2311.03099.pdf)",
+            "files": [
+                "https://github.com/ntc-ai/ComfyUI-DARE-LoRA-Merge"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ntc-ai/ComfyUI-DARE-LoRA-Merge",
+            "title": "ComfyUI - Apply LoRA Stacker with DARE"
+        },
+        {
+            "author": "wwwins",
+            "description": "Nodes:SimpleAspectRatio",
+            "files": [
+                "https://github.com/wwwins/ComfyUI-Simple-Aspect-Ratio"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wwwins/ComfyUI-Simple-Aspect-Ratio",
+            "title": "ComfyUI-Simple-Aspect-Ratio"
+        },
+        {
+            "author": "ownimage",
+            "description": "Nodes:Caching Image Loader.",
+            "files": [
+                "https://github.com/ownimage/ComfyUI-ownimage"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ownimage/ComfyUI-ownimage",
+            "title": "ComfyUI-ownimage"
+        },
+        {
+            "author": "Ryuukeisyou",
+            "description": "Nodes:ImageLoadFromBase64, ImageLoadByPath, ImageLoadAsMaskByPath, ImageSaveToPath, ImageSaveAsBase64, VHSFileNamesToStrings(IOHelpers).",
+            "files": [
+                "https://github.com/Ryuukeisyou/comfyui_io_helpers"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ryuukeisyou/comfyui_io_helpers",
+            "title": "comfyui_io_helpers"
+        },
+        {
+            "author": "flowtyone",
+            "description": "This is a custom node that lets you take advantage of Latent Diffusion Super Resolution (LDSR) models inside ComfyUI.",
+            "files": [
+                "https://github.com/flowtyone/ComfyUI-Flowty-LDSR"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/flowtyone/ComfyUI-Flowty-LDSR",
+            "title": "ComfyUI-Flowty-LDSR"
+        },
+        {
+            "author": "flowtyone",
+            "description": "This is a custom node that lets you use TripoSR right from ComfyUI.\n[a/TripoSR](https://github.com/VAST-AI-Research/TripoSR) is a state-of-the-art open-source model for fast feedforward 3D reconstruction from a single image, collaboratively developed by Tripo AI and Stability AI. (TL;DR it creates a 3d model from an image.)",
+            "files": [
+                "https://github.com/flowtyone/ComfyUI-Flowty-TripoSR"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/flowtyone/ComfyUI-Flowty-TripoSR",
+            "title": "ComfyUI-Flowty-TripoSR"
+        },
+        {
+            "author": "flowtyone",
+            "description": "This is a custom node that lets you use Convolutional Reconstruction Models right from ComfyUI.\n[a/CRM](https://ml.cs.tsinghua.edu.cn/~zhengyi/CRM/) is a high-fidelity feed-forward single image-to-3D generative model.",
+            "files": [
+                "https://github.com/flowtyone/ComfyUI-Flowty-CRM"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/flowtyone/ComfyUI-Flowty-CRM",
+            "title": "ComfyUI-Flowty-CRM"
+        },
+        {
+            "author": "massao000",
+            "description": "Aspect ratio selector for ComfyUI based on [a/sd-webui-ar](https://github.com/alemelis/sd-webui-ar?tab=readme-ov-file).",
+            "files": [
+                "https://github.com/massao000/ComfyUI_aspect_ratios"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/massao000/ComfyUI_aspect_ratios",
+            "title": "ComfyUI_aspect_ratios"
+        },
+        {
+            "author": "SiliconFlow",
+            "description": "[a/Onediff](https://github.com/siliconflow/onediff) ComfyUI Nodes.",
+            "files": [
+                "https://github.com/siliconflow/onediff_comfy_nodes"
+            ],
+            "id": "onddiff",
+            "install_type": "git-clone",
+            "reference": "https://github.com/siliconflow/onediff_comfy_nodes",
+            "title": "OneDiff Nodes"
+        },
+        {
+            "author": "hinablue",
+            "description": "Nodes:3D Pose Editor",
+            "files": [
+                "https://github.com/hinablue/ComfyUI_3dPoseEditor"
+            ],
+            "id": "3d-pose-editor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hinablue/ComfyUI_3dPoseEditor",
+            "title": "ComfyUI 3D Pose Editor"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI-CameraCtrl-Wrapper",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper"
+            ],
+            "id": "cameractrl-wrapper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper",
+            "title": "ComfyUI-CameraCtrl-Wrapper"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI-EasyAnimate",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-EasyAnimate"
+            ],
+            "id": "easyanimate",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-EasyAnimate",
+            "title": "ComfyUI-EasyAnimate"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI_StreamingT2V",
+            "files": [
+                "https://github.com/chaojie/ComfyUI_StreamingT2V"
+            ],
+            "id": "streamingt2v",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI_StreamingT2V",
+            "title": "ComfyUI_StreamingT2V"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI node for [a/Open-Sora-Plan](https://github.com/PKU-YuanGroup/Open-Sora-Plan)",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Open-Sora-Plan"
+            ],
+            "id": "opensora-plan",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Open-Sora-Plan",
+            "title": "ComfyUI-Open-Sora-Plan"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI MuseTalk",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MuseTalk"
+            ],
+            "id": "musetalk-chaojie",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-MuseTalk",
+            "title": "ComfyUI-MuseTalk"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI MuseV",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MuseV"
+            ],
+            "id": "musev",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-MuseV",
+            "title": "ComfyUI-MuseV"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI [a/AniPortrait](https://github.com/Zejun-Yang/AniPortrait)",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-AniPortrait"
+            ],
+            "id": "aniportrait",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-AniPortrait",
+            "title": "ComfyUI-AniPortrait"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI Img2Img-Turbo",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Img2Img-Turbo"
+            ],
+            "id": "img2img-turbo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Img2Img-Turbo",
+            "title": "ComfyUI-Img2Img-Turbo"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI Champ",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Champ"
+            ],
+            "id": "champ",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Champ",
+            "title": "ComfyUI-Champ"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI Open Sora\nNOTE:only supports Linux now",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Open-Sora"
+            ],
+            "id": "opensora",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Open-Sora",
+            "title": "ComfyUI-Open-Sora"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI Trajectory",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Trajectory"
+            ],
+            "id": "trajectory",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Trajectory",
+            "title": "ComfyUI-Trajectory"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI dust3r",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-dust3r"
+            ],
+            "id": "dust3r",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-dust3r",
+            "title": "ComfyUI-dust3r"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI Gemma",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Gemma"
+            ],
+            "id": "gamma",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Gemma",
+            "title": "ComfyUI-Gemma"
+        },
+        {
+            "author": "chaojie",
+            "description": "Better Dynamic, Higher Resolution, and Stronger Coherence!",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-DynamiCrafter"
+            ],
+            "id": "dynamicrafter-chaojie",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-DynamiCrafter",
+            "title": "ComfyUI-DynamiCrafter"
+        },
+        {
+            "author": "chaojie",
+            "description": "ComfyUI 3d engine",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Panda3d"
+            ],
+            "id": "panda3d",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Panda3d",
+            "title": "ComfyUI-Panda3d"
+        },
+        {
+            "author": "chaojie",
+            "description": "Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Pymunk"
+            ],
+            "id": "pymunk",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Pymunk",
+            "title": "ComfyUI-Pymunk"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes: Download the weights of MotionCtrl [a/motionctrl.pth](https://huggingface.co/TencentARC/MotionCtrl/blob/main/motionctrl.pth) and put it to ComfyUI/models/checkpoints",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MotionCtrl"
+            ],
+            "id": "motionctrl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-MotionCtrl",
+            "title": "ComfyUI-MotionCtrl"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes: that we currently provide the package only for x86-64 linux, such as Ubuntu or Debian, and Python 3.8, 3.9, and 3.10.",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Motion-Vector-Extractor"
+            ],
+            "id": "motion-vector-extractor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Motion-Vector-Extractor",
+            "title": "ComfyUI-Motion-Vector-Extractor"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes: Download the weights of MotionCtrl-SVD [a/motionctrl_svd.ckpt](https://huggingface.co/TencentARC/MotionCtrl/blob/main/motionctrl_svd.ckpt) and put it to ComfyUI/models/checkpoints",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MotionCtrl-SVD"
+            ],
+            "id": "motionctrl-svd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-MotionCtrl-SVD",
+            "title": "ComfyUI-MotionCtrl-SVD"
+        },
+        {
+            "author": "chaojie",
+            "description": "DragAnything",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-DragAnything"
+            ],
+            "id": "draganything",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-DragAnything",
+            "title": "ComfyUI-DragAnything"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes: Download the weights of DragNUWA [a/drag_nuwa_svd.pth](https://drive.google.com/file/d/1Z4JOley0SJCb35kFF4PCc6N6P1ftfX4i/view) and put it to ComfyUI/models/checkpoints/drag_nuwa_svd.pth\n[w/Due to changes in the torch package and versions of many other packages, it may disrupt your installation environment.]",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-DragNUWA"
+            ],
+            "id": "dragnuwa",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-DragNUWA",
+            "title": "ComfyUI-DragNUWA"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes: Run python tools/download_weights.py first to download weights automatically",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Moore-AnimateAnyone"
+            ],
+            "id": "moore-animateanyone",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Moore-AnimateAnyone",
+            "title": "ComfyUI-Moore-AnimateAnyone"
+        },
+        {
+            "author": "chaojie",
+            "description": "This is an implementation of [a/i2vgen-xl](https://github.com/ali-vilab/i2vgen-xl)",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-I2VGEN-XL"
+            ],
+            "id": "i2vgen-xl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-I2VGEN-XL",
+            "title": "ComfyUI-I2VGEN-XL"
+        },
+        {
+            "author": "chaojie",
+            "description": "This is an ComfyUI implementation of LightGlue to generate motion brush",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-LightGlue"
+            ],
+            "id": "lightglue",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-LightGlue",
+            "title": "ComfyUI-LightGlue"
+        },
+        {
+            "author": "chaojie",
+            "description": "This is an ComfyUI implementation of RAFT to generate motion brush",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-RAFT"
+            ],
+            "id": "raft",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-RAFT",
+            "title": "ComfyUI-RAFT"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes:VideoLaVITLoader, VideoLaVITT2V, VideoLaVITI2V, VideoLaVITI2VLong, VideoLaVITT2VLong, VideoLaVITI2I",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-LaVIT"
+            ],
+            "id": "lavit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-LaVIT",
+            "title": "ComfyUI-LaVIT"
+        },
+        {
+            "author": "chaojie",
+            "description": "Nodes:SimDATrain, SimDALoader, SimDARun, VHS_FILENAMES_STRING_SimDA",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-SimDA"
+            ],
+            "id": "simda",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-SimDA",
+            "title": "ComfyUI-SimDA"
+        },
+        {
+            "author": "chaojie",
+            "description": "Investigating the Effectiveness of Cross Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Video-Editing-X-Attention"
+            ],
+            "id": "video-editing-x-attention",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaojie/ComfyUI-Video-Editing-X-Attention",
+            "title": "ComfyUI-Video-Editing-X-Attention"
+        },
+        {
+            "author": "alexopus",
+            "description": "Allows you to save images with their generation metadata compatible with Civitai. Works with png, jpeg and webp. Stores LoRAs, models and embeddings hashes for resource recognition.",
+            "files": [
+                "https://github.com/alexopus/ComfyUI-Image-Saver"
+            ],
+            "id": "comfyui-image-saver",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alexopus/ComfyUI-Image-Saver",
+            "title": "ComfyUI Image Saver"
+        },
+        {
+            "author": "kft334",
+            "description": "Nodes: Image(s) To Websocket (Base64), Load Image (Base64),Load Images (Base64)",
+            "files": [
+                "https://github.com/kft334/Knodes"
+            ],
+            "id": "knodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kft334/Knodes",
+            "title": "Knodes"
+        },
+        {
+            "author": "MrForExample",
+            "description": "An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)\nNOTE: Pre-built python wheels can be download from [a/https://github.com/remsky/ComfyUI3D-Assorted-Wheels](https://github.com/remsky/ComfyUI3D-Assorted-Wheels)",
+            "files": [
+                "https://github.com/MrForExample/ComfyUI-3D-Pack"
+            ],
+            "id": "3dpack",
+            "install_type": "git-clone",
+            "nodename_pattern": "^\\[Comfy3D\\]",
+            "reference": "https://github.com/MrForExample/ComfyUI-3D-Pack",
+            "title": "ComfyUI-3D-Pack"
+        },
+        {
+            "author": "Mr.ForExample",
+            "description": "Improved AnimateAnyone implementation that allows you to use the opse image sequence and reference image to generate stylized video.\nThe current goal of this project is to achieve desired pose2video result with 1+FPS on GPUs that are equal to or better than RTX 3080!\ud83d\ude80\n[w/The torch environment may be compromised due to version issues as some torch-related packages are being reinstalled.]",
+            "files": [
+                "https://github.com/MrForExample/ComfyUI-AnimateAnyone-Evolved"
+            ],
+            "id": "animateanyone-evolved",
+            "install_type": "git-clone",
+            "nodename_pattern": "^\\[AnimateAnyone\\]",
+            "reference": "https://github.com/MrForExample/ComfyUI-AnimateAnyone-Evolved",
+            "title": "ComfyUI-AnimateAnyone-Evolved"
+        },
+        {
+            "author": "Hangover3832",
+            "description": "Nodes: MS kosmos-2 Interrogator, Save Image w/o Metadata, Image Scale Bounding Box. An implementation of Microsoft [a/kosmos-2](https://huggingface.co/microsoft/kosmos-2-patch14-224) image to text transformer.",
+            "files": [
+                "https://github.com/Hangover3832/ComfyUI-Hangover-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Nodes",
+            "title": "ComfyUI-Hangover-Nodes"
+        },
+        {
+            "author": "Hangover3832",
+            "description": "Moondream is a lightweight multimodal large language model.\n[w/WARN:Additional python code will be downloaded from huggingface and executed. You have to trust this creator if you want to use this node!]",
+            "files": [
+                "https://github.com/Hangover3832/ComfyUI-Hangover-Moondream"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Moondream",
+            "title": "ComfyUI-Hangover-Moondream"
+        },
+        {
+            "author": "Hangover3832",
+            "description": "This is an image recognition node for ComfyUI based on the RAM++ model from [a/xinyu1205](https://huggingface.co/xinyu1205).\nThis node outputs a string of tags with all the recognized objects and elements in the image in English or Chinese language.\nFor image tagging and captioning.",
+            "files": [
+                "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything",
+            "title": "Recognize Anything Model (RAM) for ComfyUI"
+        },
+        {
+            "author": "tzwm",
+            "description": "Calculate the execution time of all nodes.",
+            "files": [
+                "https://github.com/tzwm/comfyui-profiler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/tzwm/comfyui-profiler",
+            "title": "ComfyUI Profiler"
+        },
+        {
+            "author": "Daniel Lewis",
+            "description": "This is a set of nodes to interact with llama-cpp-python",
+            "files": [
+                "https://github.com/daniel-lewis-ab/ComfyUI-Llama"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daniel-lewis-ab/ComfyUI-Llama",
+            "title": "ComfyUI-Llama"
+        },
+        {
+            "author": "Daniel Lewis",
+            "description": "Text To Speech (TTS) for ComfyUI",
+            "files": [
+                "https://github.com/daniel-lewis-ab/ComfyUI-TTS"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daniel-lewis-ab/ComfyUI-TTS",
+            "title": "ComfyUI-TTS"
+        },
+        {
+            "author": "djbielejeski",
+            "description": "Extension for Automatic1111 and ComfyUI to automatically create masks for Background/Hair/Body/Face/Clothes in Img2Img",
+            "files": [
+                "https://github.com/djbielejeski/a-person-mask-generator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/djbielejeski/a-person-mask-generator",
+            "title": "a-person-mask-generator"
+        },
+        {
+            "author": "smagnetize",
+            "description": "Nodes:SingleImageDataUrlLoader",
+            "files": [
+                "https://github.com/smagnetize/kb-comfyui-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/smagnetize/kb-comfyui-nodes",
+            "title": "kb-comfyui-nodes"
+        },
+        {
+            "author": "ginlov",
+            "description": "Nodes:SegToMask",
+            "files": [
+                "https://github.com/ginlov/segment_to_mask_comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ginlov/segment_to_mask_comfyui",
+            "title": "segment_to_mask_comfyui"
+        },
+        {
+            "author": "glowcone",
+            "description": "Nodes: LoadImageFromBase64. Loads an image and its transparency mask from a base64-encoded data URI for easy API connection.",
+            "files": [
+                "https://github.com/glowcone/comfyui-base64-to-image"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/glowcone/comfyui-base64-to-image",
+            "title": "Load Image From Base64 URI"
+        },
+        {
+            "author": "glowcone",
+            "description": "Nodes: Convert String To Int, Convert String To Float",
+            "files": [
+                "https://github.com/glowcone/comfyui-string-converter"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/glowcone/comfyui-string-converter",
+            "title": "String Converter"
+        },
+        {
+            "author": "AInseven",
+            "description": "fastblend for comfyui, and other nodes that I write for video2video. rebatch image, my openpose",
+            "files": [
+                "https://github.com/AInseven/ComfyUI-fastblend"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AInseven/ComfyUI-fastblend",
+            "title": "ComfyUI-fastblend"
+        },
+        {
+            "author": "HebelHuber",
+            "description": "Nodes:Enhanced Save Node",
+            "files": [
+                "https://github.com/HebelHuber/comfyui-enhanced-save-node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/HebelHuber/comfyui-enhanced-save-node",
+            "title": "comfyui-enhanced-save-node"
+        },
+        {
+            "author": "LarryJane491",
+            "description": "If you see this message, your ComfyUI-Manager is outdated.\nRecent channel provides only the list of the latest nodes. If you want to find the complete node list, please go to the Default channel.\nMaking LoRA has never been easier!",
+            "files": [
+                "https://github.com/LarryJane491/Lora-Training-in-Comfy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/LarryJane491/Lora-Training-in-Comfy",
+            "title": "Lora-Training-in-Comfy"
+        },
+        {
+            "author": "LarryJane491",
+            "description": "The LoRA Caption custom nodes, just like their name suggests, allow you to caption images so they are ready for LoRA training.",
+            "files": [
+                "https://github.com/LarryJane491/Image-Captioning-in-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/LarryJane491/Image-Captioning-in-ComfyUI",
+            "title": "Image-Captioning-in-ComfyUI"
+        },
+        {
+            "author": "Layer-norm",
+            "description": "A very simple ComfyUI node to remove item with mask.",
+            "files": [
+                "https://github.com/Layer-norm/comfyui-lama-remover"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Layer-norm/comfyui-lama-remover",
+            "title": "Comfyui lama remover"
+        },
+        {
+            "author": "Taremin",
+            "description": "Instead of LoraLoader or HypernetworkLoader, it receives a prompt and loads and applies LoRA or HN based on the specifications within the prompt. The main purpose of this custom node is to allow changes without reconnecting the LoraLoader node when the prompt is randomly altered, etc.",
+            "files": [
+                "https://github.com/Taremin/comfyui-prompt-extranetworks"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Taremin/comfyui-prompt-extranetworks",
+            "title": "ComfyUI Prompt ExtraNetworks"
+        },
+        {
+            "author": "Taremin",
+            "description": " This extension provides the StringToolsConcat node, which concatenates multiple texts, and the StringToolsRandomChoice node, which selects one randomly from multiple texts.",
+            "files": [
+                "https://github.com/Taremin/comfyui-string-tools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Taremin/comfyui-string-tools",
+            "title": "ComfyUI String Tools"
+        },
+        {
+            "author": "Taremin",
+            "description": "Make it possible to edit the prompt using the Monaco Editor, an editor implementation used in VSCode.\nNOTE: This extension supports both ComfyUI and A1111 simultaneously.",
+            "files": [
+                "https://github.com/Taremin/webui-monaco-prompt"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Taremin/webui-monaco-prompt",
+            "title": "WebUI Monaco Prompt"
+        },
+        {
+            "author": "foxtrot-roger",
+            "description": "A bunch of nodes that can be useful to manipulate primitive types (numbers, text, ...) Also some helpers to generate text and timestamps.",
+            "files": [
+                "https://github.com/foxtrot-roger/comfyui-rf-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/foxtrot-roger/comfyui-rf-nodes",
+            "title": "RF Nodes"
+        },
+        {
+            "author": "abyz22",
+            "description": "Nodes:abyz22_Padding Image, abyz22_ImpactWildcardEncode, abyz22_setimageinfo, abyz22_SaveImage, abyz22_ImpactWildcardEncode_GetPrompt, abyz22_SetQueue, abyz22_drawmask, abyz22_FirstNonNull, abyz22_blendimages, abyz22_blend_onecolor. Please check workflow in [a/https://github.com/abyz22/image_control](https://github.com/abyz22/image_control)",
+            "files": [
+                "https://github.com/abyz22/image_control"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/abyz22/image_control",
+            "title": "image_control"
+        },
+        {
+            "author": "HAL41",
+            "description": "Simple node to handle scaling of YOLOv8 segmentation masks",
+            "files": [
+                "https://github.com/HAL41/ComfyUI-aichemy-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/HAL41/ComfyUI-aichemy-nodes",
+            "title": "ComfyUI aichemy nodes"
+        },
+        {
+            "author": "nkchocoai",
+            "description": "Add a node that outputs width and height of the size selected from the preset (.csv).",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-SizeFromPresets"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nkchocoai/ComfyUI-SizeFromPresets",
+            "title": "ComfyUI-SizeFromPresets"
+        },
+        {
+            "author": "nkchocoai",
+            "description": "Nodes: Format String, Join String List, Load Preset, Load Preset (Advanced), Const String, Const String (multi line). Add useful nodes related to prompt.",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-PromptUtilities"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nkchocoai/ComfyUI-PromptUtilities",
+            "title": "ComfyUI-PromptUtilities"
+        },
+        {
+            "author": "nkchocoai",
+            "description": "Add a node for drawing text with CR Draw Text of ComfyUI_Comfyroll_CustomNodes to the area of SEGS detected by Ultralytics Detector of ComfyUI-Impact-Pack.",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-TextOnSegs"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nkchocoai/ComfyUI-TextOnSegs",
+            "title": "ComfyUI-TextOnSegs"
+        },
+        {
+            "author": "nkchocoai",
+            "description": "Add a node to save images with metadata (PNGInfo) extracted from the input values of each node.\nSince the values are extracted dynamically, values output by various extension nodes can be added to metadata.",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData",
+            "title": "ComfyUI-SaveImageWithMetaData"
+        },
+        {
+            "author": "nkchocoai",
+            "description": "Add nodes that generates danbooru tags by [a/Dart(Danbooru Tags Transformer)](https://huggingface.co/p1atdev/dart-v1-sft).",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-Dart"
+            ],
+            "id": "dart",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nkchocoai/ComfyUI-Dart",
+            "title": "ComfyUI-Dart"
+        },
+        {
+            "author": "JaredTherriault",
+            "description": "python and web UX improvements for ComfyUI: Lora/Embedding picker, web extension manager (enable/disable any extension without disabling python nodes), control any parameter with text prompts, image and video viewer, metadata viewer, token counter, comments in prompts, font control, and more! \n[w/'ImageFeed.js' from the custom scripts of pythongosssss is not compatible with this suite's ImageDrawer feature. Additionally, 'DynamicPrompts.js' and 'EditAttention.js' from the core, along with 'favicon.js' from the custom scripts of pythongosssss, are incompatible with advanced features of the suite. Please use the JNodes Extension Management setting in Settings > JNodes > Extension Management to disable these extensions by unchecking them to use the full functionality of the suite.]",
+            "files": [
+                "https://github.com/JaredTherriault/ComfyUI-JNodes"
+            ],
+            "id": "jnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JaredTherriault/ComfyUI-JNodes",
+            "title": "ComfyUI-JNodes"
+        },
+        {
+            "author": "prozacgod",
+            "description": "A simple, quick, and dirty implementation of multiple workspaces within ComfyUI.",
+            "files": [
+                "https://github.com/prozacgod/comfyui-pzc-multiworkspace"
+            ],
+            "id": "multi-workspace",
+            "install_type": "git-clone",
+            "reference": "https://github.com/prozacgod/comfyui-pzc-multiworkspace",
+            "title": "ComfyUI Multi-Workspace"
+        },
+        {
+            "author": "Siberpone",
+            "description": "A booru API powered prompt generator for A1111 and ComfyUI with flexible tag filtering system and customizable prompt templates.",
+            "files": [
+                "https://github.com/Siberpone/lazy-pony-prompter"
+            ],
+            "id": "lazy-pony-prompter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Siberpone/lazy-pony-prompter",
+            "title": "Lazy Pony Prompter"
+        },
+        {
+            "author": "dave-palt",
+            "description": "Nodes: DSP Image Concat",
+            "files": [
+                "https://github.com/dave-palt/comfyui_DSP_imagehelpers"
+            ],
+            "id": "dsp-imagehelpers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dave-palt/comfyui_DSP_imagehelpers",
+            "title": "comfyui_DSP_imagehelpers"
+        },
+        {
+            "author": "Inzaniak",
+            "description": "Ranbooru is an extension for the comfyUI. The purpose of this extension is to add a node that gets a random set of tags from boorus pictures. This is mostly being used to help me test my checkpoints on a large variety of",
+            "files": [
+                "https://github.com/Inzaniak/comfyui-ranbooru"
+            ],
+            "id": "ranbooru",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Inzaniak/comfyui-ranbooru",
+            "title": "Ranbooru for ComfyUI"
+        },
+        {
+            "author": "miosp",
+            "description": "A node for JPEG de-artifacting using [a/FBCNN](https://github.com/jiaxi-jiang/FBCNN).",
+            "files": [
+                "https://github.com/Miosp/ComfyUI-FBCNN"
+            ],
+            "id": "fbcnn",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Miosp/ComfyUI-FBCNN",
+            "title": "ComfyUI-FBCNN"
+        },
+        {
+            "author": "JcandZero",
+            "description": "GLM4 Vision Integration",
+            "files": [
+                "https://github.com/JcandZero/ComfyUI_GLM4Node"
+            ],
+            "id": "glm4node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JcandZero/ComfyUI_GLM4Node",
+            "title": "ComfyUI_GLM4Node"
+        },
+        {
+            "author": "darkpixel",
+            "description": "Slightly better random prompt generation tools that allow combining and picking prompts from both file and text input sources.",
+            "files": [
+                "https://github.com/darkpixel/darkprompts"
+            ],
+            "id": "darkprompts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/darkpixel/darkprompts",
+            "title": "DarkPrompts"
+        },
+        {
+            "author": "yytdfc",
+            "description": "Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies. This repo is the ComfyUI nodes for Bedrock service. You could invoke the foundation model in your ComfyUI pipeline.",
+            "files": [
+                "https://github.com/aws-samples/comfyui-llm-node-for-amazon-bedrock"
+            ],
+            "id": "bedrock",
+            "install_type": "git-clone",
+            "pip": [
+                "boto3"
+            ],
+            "reference": "https://github.com/aws-samples/comfyui-llm-node-for-amazon-bedrock",
+            "title": "Amazon Bedrock nodes for ComfyUI"
+        },
+        {
+            "author": "Qais Malkawi",
+            "description": "This Extension adds a few custom QOL nodes that ComfyUI lacks by default.",
+            "files": [
+                "https://github.com/QaisMalkawi/ComfyUI-QaisHelper"
+            ],
+            "id": "qais-helper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/QaisMalkawi/ComfyUI-QaisHelper",
+            "title": "ComfyUI-Qais-Helper"
+        },
+        {
+            "author": "longgui0318",
+            "description": "Nodes:Split Masks, Mask Selection Of Masks, Mask Region Info",
+            "files": [
+                "https://github.com/longgui0318/comfyui-mask-util"
+            ],
+            "id": "mask-util",
+            "install_type": "git-clone",
+            "reference": "https://github.com/longgui0318/comfyui-mask-util",
+            "title": "comfyui-mask-util"
+        },
+        {
+            "author": "longgui0318",
+            "description": "Nodes:Generate Stable Diffsution Prompt With LLM, Translate Text With LLM, Chat With LLM",
+            "files": [
+                "https://github.com/longgui0318/comfyui-llm-assistant"
+            ],
+            "id": "llm-assistant",
+            "install_type": "git-clone",
+            "reference": "https://github.com/longgui0318/comfyui-llm-assistant",
+            "title": "comfyui-llm-assistant"
+        },
+        {
+            "author": "longgui0318",
+            "description": "The comfyui supported version of the [a/Magic Clothing](https://github.com/ShineChen1024/MagicClothing) project, not the diffusers version, allows direct integration with modules such as ipadapter.[w/comfyui-oms-diffusion is renamed to comfyui-magic-clothing. You may need to reinstall this.]",
+            "files": [
+                "https://github.com/longgui0318/comfyui-magic-clothing"
+            ],
+            "id": "magic-clothing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/longgui0318/comfyui-magic-clothing",
+            "title": "comfyui-magic-clothing"
+        },
+        {
+            "author": "longgui0318",
+            "description": "Nodes:Init Layer Info Array, Added Layer Info To Array, Layer Info Array Fuse, Layer Image Seleted, Layer Images IPAdapter Advanced, Enhanced Random Light Source",
+            "files": [
+                "https://github.com/longgui0318/comfyui-common-util"
+            ],
+            "id": "common-util",
+            "install_type": "git-clone",
+            "reference": "https://github.com/longgui0318/comfyui-common-util",
+            "title": "comfyui-common-util"
+        },
+        {
+            "author": "DimaChaichan",
+            "description": "This exporter is a plugin for ComfyUI, which can export tasks for [a/LAizypainter](https://github.com/DimaChaichan/LAizypainter).\nLAizypainter is a Photoshop plugin with which you can send tasks directly to a Stable Diffusion server. More information about a [a/Task](https://github.com/DimaChaichan/LAizypainter?tab=readme-ov-file#task)",
+            "files": [
+                "https://github.com/DimaChaichan/LAizypainter-Exporter-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DimaChaichan/LAizypainter-Exporter-ComfyUI",
+            "title": "LAizypainter-Exporter-ComfyUI"
+        },
+        {
+            "author": "adriflex",
+            "description": "Nodes:Blender viewport color, Blender Viewport depth",
+            "files": [
+                "https://github.com/adriflex/ComfyUI_Blender_Texdiff"
+            ],
+            "id": "blender-texdiff",
+            "install_type": "git-clone",
+            "reference": "https://github.com/adriflex/ComfyUI_Blender_Texdiff",
+            "title": "ComfyUI_Blender_Texdiff"
+        },
+        {
+            "author": "Shraknard",
+            "description": "Custom node for ComfyUI that makes parts of the image transparent (face, background...)",
+            "files": [
+                "https://github.com/Shraknard/ComfyUI-Remover"
+            ],
+            "id": "remover",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Shraknard/ComfyUI-Remover",
+            "title": "ComfyUI-Remover"
+        },
+        {
+            "author": "FlyingFireCo",
+            "description": "Nodes:Tiled KSampler, Asymmetric Tiled KSampler, Circular VAEDecode.",
+            "files": [
+                "https://github.com/FlyingFireCo/tiled_ksampler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/FlyingFireCo/tiled_ksampler",
+            "title": "tiled_ksampler"
+        },
+        {
+            "author": "Nlar",
+            "description": "Front end ComfyUI nodes for CartoonSegmentation Based upon the work of the CartoonSegmentation repository this project will provide a front end to some of the features.",
+            "files": [
+                "https://github.com/Nlar/ComfyUI_CartoonSegmentation"
+            ],
+            "id": "cartoon-seg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nlar/ComfyUI_CartoonSegmentation",
+            "title": "ComfyUI_CartoonSegmentation"
+        },
+        {
+            "author": "godspede",
+            "description": "Just a simple substring node that takes text and length as input, and outputs the first length characters.",
+            "files": [
+                "https://github.com/godspede/ComfyUI_Substring"
+            ],
+            "id": "substring",
+            "install_type": "git-clone",
+            "reference": "https://github.com/godspede/ComfyUI_Substring",
+            "title": "ComfyUI Substring"
+        },
+        {
+            "author": "gokayfem",
+            "description": "Custom Nodes for Vision Language Models (VLM) , Large Language Models (LLM), Image Captioning, Automatic Prompt Generation, Creative and Consistent Prompt Suggestion, Keyword Extraction",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI_VLM_nodes"
+            ],
+            "id": "vlm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gokayfem/ComfyUI_VLM_nodes",
+            "title": "VLM_nodes"
+        },
+        {
+            "author": "gokayfem",
+            "description": "Tell your dream and it interprets it and puts you inside your dream",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI-Dream-Interpreter"
+            ],
+            "id": "dream-interpreter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gokayfem/ComfyUI-Dream-Interpreter",
+            "title": "ComfyUI-Dream-Interpreter"
+        },
+        {
+            "author": "gokayfem",
+            "description": "Works with any Depth Map and visualizes the applied version it inside ComfyUI",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI-Depth-Visualization"
+            ],
+            "id": "delpth-visualization",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gokayfem/ComfyUI-Depth-Visualization",
+            "title": "ComfyUI-Depth-Visualization"
+        },
+        {
+            "author": "gokayfem",
+            "description": "Visualize your textures inside ComfyUI",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI-Texture-Simple"
+            ],
+            "id": "texture-simple",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gokayfem/ComfyUI-Texture-Simple",
+            "title": "ComfyUI-Texture-Simple"
+        },
+        {
+            "author": "Hiero207",
+            "description": "Nodes:Post to Discord w/ Webhook",
+            "files": [
+                "https://github.com/Hiero207/ComfyUI-Hiero-Nodes"
+            ],
+            "id": "hiero",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hiero207/ComfyUI-Hiero-Nodes",
+            "title": "Hiero-Nodes"
+        },
+        {
+            "author": "azure-dragon-ai",
+            "description": "Nodes:ImageScore, Loader, Image Processor, Real Image Processor, Fake Image Processor, Text Processor. ComfyUI Nodes for ClipScore",
+            "files": [
+                "https://github.com/azure-dragon-ai/ComfyUI-ClipScore-Nodes"
+            ],
+            "id": "clipscore",
+            "install_type": "git-clone",
+            "reference": "https://github.com/azure-dragon-ai/ComfyUI-ClipScore-Nodes",
+            "title": "ComfyUI-ClipScore-Nodes"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "Transcribe audio and add subtitles to videos using Whisper in ComfyUI",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Whisper"
+            ],
+            "id": "whisper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Whisper",
+            "title": "ComfyUI Whisper"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "A collection of nice utility nodes for ComfyUI",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Pronodes"
+            ],
+            "id": "pronodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Pronodes",
+            "title": "ComfyUI-Pronodes"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "Nodes:Upscale Video Tensorrt",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Vsgan"
+            ],
+            "id": "vsgan",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Vsgan",
+            "title": "ComfyUI-Vsgan"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "This extension provides a ComfyUI Custom Node implementation of the [a/Depth-Anything-Tensorrt](https://github.com/spacewalk01/depth-anything-tensorrt) in Python for ultra fast depth map generation",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt"
+            ],
+            "id": "depth-anything-tensorrt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt",
+            "title": "ComfyUI Depth Anything TensorRT"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "Convert Text-to-Speech inside ComfyUI using [a/Piper](https://github.com/rhasspy/piper)",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-PiperTTS"
+            ],
+            "id": "pipertts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-PiperTTS",
+            "title": "ComfyUI PiperTTS"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "This project provides a Tensorrt implementation for fast image upscaling inside ComfyUI (3-4x faster)",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt"
+            ],
+            "id": "upscaler-tensorrt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt",
+            "title": "ComfyUI Upscaler TensorRT"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "This repo provides a ComfyUI Custom Node implementation of [a/YOLO-NAS-POSE](https://github.com/Deci-AI/super-gradients), powered by TensorRT for ultra fast pose estimation. It has been adapted to work with openpose controlnet (experimental)",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt"
+            ],
+            "id": "yolonaspose-tensorrt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt",
+            "title": "ComfyUI YoloNasPose Tensorrt"
+        },
+        {
+            "author": "yuvraj108c",
+            "description": "This project provides a Tensorrt implementation of Dwpose for ultra fast pose estimation inside ComfyUI",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt"
+            ],
+            "id": "dwpose-tensorrt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt",
+            "title": "ComfyUI Dwpose TensorRT"
+        },
+        {
+            "author": "blepping",
+            "description": "Better TAESD previews, BlehHyperTile.",
+            "files": [
+                "https://github.com/blepping/ComfyUI-bleh"
+            ],
+            "id": "bleh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/blepping/ComfyUI-bleh",
+            "title": "ComfyUI-bleh"
+        },
+        {
+            "author": "blepping",
+            "description": "A janky implementation of Sonar sampling (momentum-based sampling) for ComfyUI.",
+            "files": [
+                "https://github.com/blepping/ComfyUI-sonar"
+            ],
+            "id": "sonar",
+            "install_type": "git-clone",
+            "reference": "https://github.com/blepping/ComfyUI-sonar",
+            "title": "ComfyUI-sonar"
+        },
+        {
+            "author": "blepping",
+            "description": "Janky implementation of [a/HiDiffusion](https://github.com/megvii-research/HiDiffusion) for ComfyUI. Enables generating at resolutions higher than what the model was trained for. Only supports SD 1.x (maybe 2.x) and SDXL.",
+            "files": [
+                "https://github.com/blepping/comfyui_jankhidiffusion"
+            ],
+            "id": "jank-hidiffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/blepping/comfyui_jankhidiffusion",
+            "title": "comfyui_jankhidiffusion"
+        },
+        {
+            "author": "blepping",
+            "description": "Experimental and mathematically unsound (but fun!) sampling for ComfyUI.\nFeel free create a question in Discussions for usage help: OCS Q&A Discussion[w/Status: In flux, may be useful but likely to change/break workflows frequently. Mainly for advanced users.]",
+            "files": [
+                "https://github.com/blepping/comfyui_overly_complicated_sampling"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/blepping/comfyui_overly_complicated_sampling",
+            "title": "comfyui_overly_complicated_sampling"
+        },
+        {
+            "author": "JerryOrbachJr",
+            "description": "A ComfyUI custom node that randomly selects a height and width pair from a list in a config file",
+            "files": [
+                "https://github.com/JerryOrbachJr/ComfyUI-RandomSize"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/JerryOrbachJr/ComfyUI-RandomSize",
+            "title": "Random Size"
+        },
+        {
+            "author": "jamal-alkharrat",
+            "description": "ComfyUI Custom Node to Rotate Images, Img2Img node.",
+            "files": [
+                "https://github.com/jamal-alkharrat/ComfyUI_rotate_image"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jamal-alkharrat/ComfyUI_rotate_image",
+            "title": "ComfyUI_rotate_image"
+        },
+        {
+            "author": "mape",
+            "description": "Multi-monitor image preview, Variable Assigment/Wireless Nodes, Prompt Tweaking, Command Palette, Pinned favourite nodes, Node navigation, Fuzzy search, Node time tracking, Organizing and Error management. For more info visit: [a/https://comfyui.ma.pe/](https://comfyui.ma.pe/)",
+            "files": [
+                "https://github.com/mape/ComfyUI-mape-Helpers"
+            ],
+            "id": "mape-helpers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mape/ComfyUI-mape-Helpers",
+            "title": "mape's helpers"
+        },
+        {
+            "author": "zhongpei",
+            "description": "Enhancing Image Restoration. (ref:[a/InstructIR](https://github.com/mv-lab/InstructIR))",
+            "files": [
+                "https://github.com/zhongpei/ComfyUI-InstructIR"
+            ],
+            "id": "instructir",
+            "install_type": "git-clone",
+            "reference": "https://github.com/zhongpei/ComfyUI-InstructIR",
+            "title": "ComfyUI for InstructIR"
+        },
+        {
+            "author": "Loewen-Hob",
+            "description": "This custom node is based on the [a/rembg-comfyui-node](https://github.com/Jcd1230/rembg-comfyui-node) but provides additional functionality to select ONNX models.",
+            "files": [
+                "https://github.com/Loewen-Hob/rembg-comfyui-node-better"
+            ],
+            "id": "rembg-better",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Loewen-Hob/rembg-comfyui-node-better",
+            "title": "Rembg Background Removal Node for ComfyUI (Better)"
+        },
+        {
+            "author": "HaydenReeve",
+            "description": "Strings should be easy, and simple. This extension aims to provide a set of nodes that make working with strings in ComfyUI a little bit easier.",
+            "files": [
+                "https://github.com/HaydenReeve/ComfyUI-Better-Strings"
+            ],
+            "id": "better-string",
+            "install_type": "git-clone",
+            "reference": "https://github.com/HaydenReeve/ComfyUI-Better-Strings",
+            "title": "ComfyUI Better Strings"
+        },
+        {
+            "author": "StartHua",
+            "description": "Nodes:segformer_clothes, segformer_agnostic, segformer_remove_bg, stabel_vition. Nodes for model dress up.",
+            "files": [
+                "https://github.com/StartHua/ComfyUI_Seg_VITON"
+            ],
+            "id": "seg-viton",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/ComfyUI_Seg_VITON",
+            "title": "ComfyUI_Seg_VITON"
+        },
+        {
+            "author": "StartHua",
+            "description": "JoyTag is a state of the art AI vision model for tagging images, with a focus on sex positivity and inclusivity. It uses the Danbooru tagging schema, but works across a wide range of images, from hand drawn to photographic.\nDownload the weight and put it under checkpoints: [a/https://huggingface.co/fancyfeast/joytag/tree/main](https://huggingface.co/fancyfeast/joytag/tree/main)",
+            "files": [
+                "https://github.com/StartHua/Comfyui_joytag"
+            ],
+            "id": "joytag",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/Comfyui_joytag",
+            "title": "Comfyui_joytag"
+        },
+        {
+            "author": "StartHua",
+            "description": "SegFormer model fine-tuned on ATR dataset for clothes segmentation but can also be used for human segmentation!\nDownload the weight and put it under checkpoints: [a/https://huggingface.co/mattmdjaga/segformer_b2_clothes](https://huggingface.co/mattmdjaga/segformer_b2_clothes)",
+            "files": [
+                "https://github.com/StartHua/Comfyui_segformer_b2_clothes"
+            ],
+            "id": "segformer-b2-clothes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/Comfyui_segformer_b2_clothes",
+            "title": "comfyui_segformer_b2_clothes"
+        },
+        {
+            "author": "StartHua",
+            "description": "Nodes:Ood_hd_CXH, Ood_hd_CXH. [a/OOTDiffusion](https://github.com/levihsu/OOTDiffusion)",
+            "files": [
+                "https://github.com/StartHua/ComfyUI_OOTDiffusion_CXH"
+            ],
+            "id": "ootdiffusion-cxh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/ComfyUI_OOTDiffusion_CXH",
+            "title": "ComfyUI_OOTDiffusion_CXH"
+        },
+        {
+            "author": "StartHua",
+            "description": "Original project: [a/link](https://github.com/tencent-ailab/PCDMs)\nBased on testing, the author's original images work very well, but using my own images generally requires some luck!",
+            "files": [
+                "https://github.com/StartHua/ComfyUI_PCDMs"
+            ],
+            "id": "pcdms",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/ComfyUI_PCDMs",
+            "title": "ComfyUI_PCDMs"
+        },
+        {
+            "author": "StartHua",
+            "description": "Nodes:Joy_caption_load, Joy_caption",
+            "files": [
+                "https://github.com/StartHua/Comfyui_CXH_joy_caption"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/Comfyui_CXH_joy_caption",
+            "title": "Comfyui_CXH_joy_caption"
+        },
+        {
+            "author": "StartHua",
+            "description": "Phi-3.5-vision-instruct fast talk with image !\nFast , Fast ,Fast!\n1.Phi-3.5-vision-instruct",
+            "files": [
+                "https://github.com/StartHua/Comfyui_CXH_Phi_3.5"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/StartHua/Comfyui_CXH_Phi_3.5",
+            "title": "Comfyui_CXH_Phi_3.5"
+        },
+        {
+            "author": "ricklove",
+            "description": "Nodes: Image Crop and Resize by Mask, Image Uncrop, Image Shadow, Optical Flow (Dip), Warp Image with Flow, Image Threshold (Channels), Finetune Variable, Finetune Analyze, Finetune Analyze Batch, ... Misc ComfyUI nodes by Rick Love",
+            "files": [
+                "https://github.com/ricklove/comfyui-ricklove"
+            ],
+            "id": "ricklove",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ricklove/comfyui-ricklove",
+            "title": "comfyui-ricklove"
+        },
+        {
+            "author": "nosiu",
+            "description": "Implementation of [a/faceswap](https://github.com/nosiu/InstantID-faceswap/tree/main) based on [a/InstantID](https://github.com/InstantID/InstantID) for ComfyUI. Allows usage of [a/LCM Lora](https://huggingface.co/latent-consistency/lcm-lora-sdxl) which can produce good results in only a few generation steps.\nNOTE:Works ONLY with SDXL checkpoints.",
+            "files": [
+                "https://github.com/nosiu/comfyui-instantId-faceswap"
+            ],
+            "id": "instantid-faceswapper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nosiu/comfyui-instantId-faceswap",
+            "title": "ComfyUI InstantID Faceswapper"
+        },
+        {
+            "author": "LyazS",
+            "description": "A Anime Character Segmentation node for comfyui, based on [this hf space](https://huggingface.co/spaces/skytnt/anime-remove-background).",
+            "files": [
+                "https://github.com/LyazS/comfyui-anime-seg"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/LyazS/comfyui-anime-seg",
+            "title": "Anime Character Segmentation node for comfyui"
+        },
+        {
+            "author": "LyazS",
+            "description": "A net tool node for comfyui, rewrite from [comfyui-tooling-nodes](https://github.com/Acly/comfyui-tooling-nodes) but support more big data sending.",
+            "files": [
+                "https://github.com/LyazS/comfyui-nettools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/LyazS/comfyui-nettools",
+            "title": "net tool node for comfyui"
+        },
+        {
+            "author": "Chan-0312",
+            "description": "This is a project that generates videos frame by frame based on IPAdapter+ControlNet. Unlike [a/Steerable-motion](https://github.com/banodoco/Steerable-Motion), we do not rely on AnimateDiff. This decision is primarily due to the fact that the videos generated by AnimateDiff are often blurry. Through frame-by-frame control using IPAdapter+ControlNet, we can produce higher definition and more controllable videos.",
+            "files": [
+                "https://github.com/Chan-0312/ComfyUI-IPAnimate"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Chan-0312/ComfyUI-IPAnimate",
+            "title": "ComfyUI-IPAnimate"
+        },
+        {
+            "author": "Chan-0312",
+            "description": "Nodes:Easy2DDeforum (Chan)",
+            "files": [
+                "https://github.com/Chan-0312/ComfyUI-EasyDeforum"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Chan-0312/ComfyUI-EasyDeforum",
+            "title": "ComfyUI-EasyDeforum"
+        },
+        {
+            "author": "trumanwong",
+            "description": "An implementation of NSFW Detection for ComfyUI",
+            "files": [
+                "https://github.com/trumanwong/ComfyUI-NSFW-Detection"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/trumanwong/ComfyUI-NSFW-Detection",
+            "title": "ComfyUI-NSFW-Detection"
+        },
+        {
+            "author": "TemryL",
+            "description": "ComfyS3 seamlessly integrates with [a/Amazon S3](https://aws.amazon.com/en/s3/) in ComfyUI. This open-source project provides custom nodes for effortless loading and saving of images, videos, and checkpoint models directly from S3 buckets within the ComfyUI graph interface.",
+            "files": [
+                "https://github.com/TemryL/ComfyS3"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TemryL/ComfyS3",
+            "title": "ComfyS3"
+        },
+        {
+            "author": "MaraScott",
+            "description": "A set of nodes including a universal bus, an Inpainting By Mask and a large Upscaler/Refiner\n[AnyBus,McInpainty,McBoaty]",
+            "files": [
+                "https://github.com/MaraScott/ComfyUI_MaraScott_Nodes"
+            ],
+            "id": "marascott-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MaraScott/ComfyUI_MaraScott_Nodes",
+            "title": "\ud83d\udc30 MaraScott Nodes"
+        },
+        {
+            "author": "yffyhk",
+            "description": "Nodes: Get Danbooru, Tag Encode",
+            "files": [
+                "https://github.com/yffyhk/comfyui_auto_danbooru"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/yffyhk/comfyui_auto_danbooru",
+            "title": "comfyui_auto_danbooru"
+        },
+        {
+            "author": "dfl",
+            "description": "Clip text encoder with BREAK formatting like A1111 (uses conditioning concat)",
+            "files": [
+                "https://github.com/dfl/comfyui-clip-with-break"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/dfl/comfyui-clip-with-break",
+            "title": "CLIP with BREAK syntax"
+        },
+        {
+            "author": "dfl",
+            "description": "ComfyUI Custom Sampler nodes that implement Zheng et al.'s Trajectory Consistency Distillation based on [a/https://mhh0318.github.io/tcd](https://mhh0318.github.io/tcd)",
+            "files": [
+                "https://github.com/dfl/comfyui-tcd-scheduler"
+            ],
+            "id": "dfl-tcd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dfl/comfyui-tcd-scheduler",
+            "title": "ComfyUI-TCD-scheduler"
+        },
+        {
+            "author": "antrobot",
+            "description": "A small node pack containing various things I felt like ought to be in base comfy-UI. Currently includes Some image handling nodes to help with inpainting, a version of KSampler (advanced) that allows for denoise, and a node that can swap it's inputs. Remember to make an issue if you experience any bugs or errors!",
+            "files": [
+                "https://github.com/antrobot1234/antrobots-comfyUI-nodepack"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/antrobot1234/antrobots-comfyUI-nodepack",
+            "title": "antrobots ComfyUI Nodepack"
+        },
+        {
+            "author": "bilal-arikan",
+            "description": "With this node you can upload text files to input folder from your local computer.",
+            "files": [
+                "https://github.com/bilal-arikan/ComfyUI_TextAssets"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bilal-arikan/ComfyUI_TextAssets",
+            "title": "ComfyUI_TextAssets"
+        },
+        {
+            "author": "kadirnar",
+            "description": "ComfyUI-Transformers is a cutting-edge project combining the power of computer vision and natural language processing to create intuitive and user-friendly interfaces. Our goal is to make technology more accessible and engaging.",
+            "files": [
+                "https://github.com/kadirnar/ComfyUI-Transformers"
+            ],
+            "id": "comfy-transformers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kadirnar/ComfyUI-Transformers",
+            "title": "ComfyUI-Transformers"
+        },
+        {
+            "author": "kadirnar",
+            "description": "Ultralytics-Powered Object Recognition for ComfyUI",
+            "files": [
+                "https://github.com/kadirnar/ComfyUI-YOLO"
+            ],
+            "id": "comfy-yolo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kadirnar/ComfyUI-YOLO",
+            "title": "ComfyUI-YOLO"
+        },
+        {
+            "author": "digitaljohn",
+            "description": "A set of custom ComfyUI nodes for performing basic post-processing effects including Film Grain and Vignette. These effects can help to take the edge off AI imagery and make them feel more natural.",
+            "files": [
+                "https://github.com/digitaljohn/comfyui-propost"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/digitaljohn/comfyui-propost",
+            "title": "ComfyUI-ProPost"
+        },
+        {
+            "author": "DonBaronFactory",
+            "description": "Nodes:CRE8IT Serial Prompter, CRE8IT Apply Serial Prompter, CRE8IT Image Sizer. A few simple nodes to facilitate working wiht ComfyUI Workflows",
+            "files": [
+                "https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes",
+            "title": "ComfyUI-Cre8it-Nodes"
+        },
+        {
+            "author": "deforum",
+            "description": "Official Deforum animation pipeline tools that provide a unique way to create frame-by-frame generative motion art.",
+            "files": [
+                "https://github.com/XmYx/deforum-comfy-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/XmYx/deforum-comfy-nodes",
+            "title": "Deforum Nodes"
+        },
+        {
+            "author": "adbrasi",
+            "description": "ComfyUI-TrashNodes-DownloadHuggingface is a ComfyUI node designed to facilitate the download of models you have just trained and uploaded to Hugging Face. This node is particularly useful for users who employ Google Colab for training and need to quickly download their models for deployment.",
+            "files": [
+                "https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface",
+            "title": "ComfyUI-TrashNodes-DownloadHuggingface"
+        },
+        {
+            "author": "mbrostami",
+            "description": "ComfyUI Node to work with Hugging Face repositories",
+            "files": [
+                "https://github.com/mbrostami/ComfyUI-HF"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/mbrostami/ComfyUI-HF",
+            "title": "ComfyUI-HF"
+        },
+        {
+            "author": "Billius-AI",
+            "description": "Nodes:Create Project Root, Add Folder, Add Folder Advanced, Add File Name Prefix, Add File Name Prefix Advanced, ShowPath",
+            "files": [
+                "https://github.com/Billius-AI/ComfyUI-Path-Helper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Billius-AI/ComfyUI-Path-Helper",
+            "title": "ComfyUI-Path-Helper"
+        },
+        {
+            "author": "Franck-Demongin",
+            "description": "A custom node for ComfyUI to create a prompt based on a list of keywords saved in CSV files.",
+            "files": [
+                "https://github.com/Franck-Demongin/NX_PromptStyler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Franck-Demongin/NX_PromptStyler",
+            "title": "NX_PromptStyler"
+        },
+        {
+            "author": "Franck-Demongin",
+            "description": "Nodes:Hugging Face Flux",
+            "files": [
+                "https://github.com/Franck-Demongin/NX_HuggingFace_Flux"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Franck-Demongin/NX_HuggingFace_Flux",
+            "title": "NX_HuggingFace_Flux"
+        },
+        {
+            "author": "Franck-Demongin",
+            "description": "A custom node for translating prompts with Google Translate or DeeplL directly in ComfyUI.",
+            "files": [
+                "https://github.com/Franck-Demongin/NX_Translator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Franck-Demongin/NX_Translator",
+            "title": "NX_Translator"
+        },
+        {
+            "author": "xiaoxiaodesha",
+            "description": "Nodes:Combine HDMasks, Cover HDMasks, HD FaceIndex, HD SmoothEdge, HD GetMaskArea, HD Image Levels, HD Ultimate SD Upscale",
+            "files": [
+                "https://github.com/xiaoxiaodesha/hd_node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/xiaoxiaodesha/hd_node",
+            "title": "hd-nodes-comfyui"
+        },
+        {
+            "author": "ShmuelRonen",
+            "description": "SVDResizer is a helper for resizing the source image, according to the sizes enabled in Stable Video Diffusion. The rationale behind the possibility of changing the size of the image in steps between the ranges of 576 and 1024, is the use of the greatest common denominator of these two numbers which is 64. SVD is lenient with resizing that adheres to this rule, so the chance of coherent video that is not the standard size of 576X1024 is greater. It is advisable to keep the value 1024 constant and play with the second size to maintain the stability of the result.",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI-SVDResizer"
+            ],
+            "id": "svdresizer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI-SVDResizer",
+            "title": "ComfyUI-SVDResizer"
+        },
+        {
+            "author": "ShmuelRonen",
+            "description": "The Wav2Lip node is a custom node for ComfyUI that allows you to perform lip-syncing on videos using the Wav2Lip model. It takes an input video and an audio file and generates a lip-synced output video.",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI_wav2lip"
+            ],
+            "id": "wav2lip",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI_wav2lip",
+            "title": "Wav2Lip Node for ComfyUI"
+        },
+        {
+            "author": "ShmuelRonen",
+            "description": "ComfyUI_Gemini_Flash is a custom node for ComfyUI, integrating the capabilities of the Gemini 1.5 Flash model. This node supports text and vision-based prompts, allowing users to analyze and adapt images to text prompts for text2image tasks.",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI_Gemini_Flash"
+            ],
+            "id": "gemini-flash",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI_Gemini_Flash",
+            "title": "ComfyUI_Gemini_Flash"
+        },
+        {
+            "author": "redhottensors",
+            "description": "Fully customizable Classifier Free Guidance for ComfyUI.",
+            "files": [
+                "https://github.com/redhottensors/ComfyUI-Prediction"
+            ],
+            "id": "prediction",
+            "install_type": "git-clone",
+            "reference": "https://github.com/redhottensors/ComfyUI-Prediction",
+            "title": "ComfyUI-Prediction"
+        },
+        {
+            "author": "Mamaaaamooooo",
+            "description": "Remove background of plural images.",
+            "files": [
+                "https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes"
+            ],
+            "id": "batch-rembg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes",
+            "title": "Batch Rembg for ComfyUI"
+        },
+        {
+            "author": "jordoh",
+            "description": "ComfyUI nodes wrapping the [a/deepface](https://github.com/serengil/deepface) library.",
+            "files": [
+                "https://github.com/jordoh/ComfyUI-Deepface"
+            ],
+            "id": "deepface",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jordoh/ComfyUI-Deepface",
+            "title": "ComfyUI Deepface"
+        },
+        {
+            "author": "al-swaiti",
+            "description": "Nodes:Cascade Resolutions",
+            "files": [
+                "https://github.com/al-swaiti/ComfyUI-CascadeResolutions"
+            ],
+            "id": "cascade-resolution",
+            "install_type": "git-clone",
+            "reference": "https://github.com/al-swaiti/ComfyUI-CascadeResolutions",
+            "title": "ComfyUI-CascadeResolutions"
+        },
+        {
+            "author": "al-swaiti",
+            "description": "all art styles",
+            "files": [
+                "https://github.com/al-swaiti/All-IN-ONE-style"
+            ],
+            "id": "all-in-one-style",
+            "install_type": "git-clone",
+            "reference": "https://github.com/al-swaiti/All-IN-ONE-style",
+            "title": "All-IN-ONE-style"
+        },
+        {
+            "author": "al-swaiti",
+            "description": "This extension integrates Google's Gemini API and Ollama into ComfyUI, allowing users to leverage these powerful language models directly within their ComfyUI workflows.",
+            "files": [
+                "https://github.com/al-swaiti/ComfyUI-OllamaGemini"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/al-swaiti/ComfyUI-OllamaGemini",
+            "title": "GeminiOllama ComfyUI Extension"
+        },
+        {
+            "author": "mirabarukaso",
+            "description": "Nodes:Integer Multiplier, Float Multiplier, Convert Numeral to String, Create Canvas Advanced, Create Canvas, Create PNG Mask, Color Mask to HEX String, Color Mask to INT RGB, Color Masks to List",
+            "files": [
+                "https://github.com/mirabarukaso/ComfyUI_Mira"
+            ],
+            "id": "mira",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mirabarukaso/ComfyUI_Mira",
+            "title": "ComfyUI_Mira"
+        },
+        {
+            "author": "1038lab",
+            "description": "ComfyUI Node - Hugging Face repositories GTP2 Prompt",
+            "files": [
+                "https://github.com/1038lab/ComfyUI-GPT2P"
+            ],
+            "id": "gpt2p",
+            "install_type": "git-clone",
+            "reference": "https://github.com/1038lab/ComfyUI-GPT2P",
+            "title": "ComfyUI-GPT2P"
+        },
+        {
+            "author": "Klinter",
+            "description": "Concat_strings atm - celebrating first_node",
+            "files": [
+                "https://github.com/klinter007/klinter_nodes"
+            ],
+            "id": "klinter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/klinter007/klinter_nodes",
+            "title": "Klinter_nodes"
+        },
+        {
+            "author": "Ludobico",
+            "description": "ScenarioPrompt is a custom node that helps you understand what you're prompting for each property as you build your prompts",
+            "files": [
+                "https://github.com/Ludobico/ComfyUI-ScenarioPrompt"
+            ],
+            "id": "scenarioprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ludobico/ComfyUI-ScenarioPrompt",
+            "title": "ComfyUI-ScenarioPrompt"
+        },
+        {
+            "author": "logtd",
+            "description": "A set of nodes to perform multi-object prompting with InstanceDiffusion",
+            "files": [
+                "https://github.com/logtd/ComfyUI-InstanceDiffusion"
+            ],
+            "id": "instancediffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-InstanceDiffusion",
+            "title": "InstanceDiffusion Nodes"
+        },
+        {
+            "author": "logtd",
+            "description": "A set of nodes to track objects through videos using YOLO and other processors.",
+            "files": [
+                "https://github.com/logtd/ComfyUI-TrackingNodes"
+            ],
+            "id": "tracking",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-TrackingNodes",
+            "title": "Tracking Nodes for Videos"
+        },
+        {
+            "author": "logtd",
+            "description": "Nodes:Inversed Euler Sampler, Mix Noise with Latent, Combine Latent Noise",
+            "files": [
+                "https://github.com/logtd/ComfyUI-InversedNoise"
+            ],
+            "id": "inversed-noise",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-InversedNoise",
+            "title": "ComfyUI-InversedNoise"
+        },
+        {
+            "author": "logtd",
+            "description": "Nodes:Apply Ref UNet, Ref Sampler, Ref Sampler Custom",
+            "files": [
+                "https://github.com/logtd/ComfyUI-RefSampling"
+            ],
+            "id": "refsampling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-RefSampling",
+            "title": "ComfyUI-RefSampling"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use [a/FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing](https://github.com/yrcong/flatten).",
+            "files": [
+                "https://github.com/logtd/ComfyUI-FLATTEN"
+            ],
+            "id": "flatten",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-FLATTEN",
+            "title": "ComfyUI-FLATTEN"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use RAVE attention as a temporal attention mechanism.\nThis differs from other implementations in that it does not concatenate the images together, but within the UNet's Self-Attention mechanism performs the RAVE technique. By not altering the images/latents throughout the UNet, this method does not affect other temporal techniques, style mechanisms, or other UNet modifications.\nFor example, it can be combined with AnimateDiff, ModelScope/ZeroScope, or FLATTEN.",
+            "files": [
+                "https://github.com/logtd/ComfyUI-RAVE_ATTN"
+            ],
+            "id": "rave-attn",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-RAVE_ATTN",
+            "title": "ComfyUI-RAVE Attention"
+        },
+        {
+            "author": "logtd",
+            "description": "A set of nodes to use Reference UNets",
+            "files": [
+                "https://github.com/logtd/ComfyUI-RefUNet"
+            ],
+            "id": "refunet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-RefUNet",
+            "title": "ComfyUI-RefUNet"
+        },
+        {
+            "author": "logtd",
+            "description": "Nodes to use [a/Smoothed Energy Guidance](https://github.com/SusungHong/SEG-SDXL) for ComfyUI.",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SEGAttention"
+            ],
+            "id": "segattention",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-SEGAttention",
+            "title": "ComfyUI-SEGAttention"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI Nodes to use [a/SSR Encoder:Encoding Selective Subject Representation for Subject-Driven Generation](https://github.com/Xiaojiu-z/SSR_Encoder).",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SSREncoder"
+            ],
+            "id": "ssrencoder",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-SSREncoder",
+            "title": "ComfyUI-SSREncoder"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use the SeeCoder from [a/Prompt-Free-Diffusion](https://github.com/SHI-Labs/Prompt-Free-Diffusion)",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SeeCoder"
+            ],
+            "id": "seecoder-logtd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-SeeCoder",
+            "title": "ComfyUI-SeeCoder"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use [a/4D-Humans](ComfyUI nodes to use 4D-Humans)",
+            "files": [
+                "https://github.com/logtd/ComfyUI-4DHumans"
+            ],
+            "id": "comfyui-4dhumans",
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-4DHumans",
+            "title": "ComfyUI-4DHumans"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use ReNoise",
+            "files": [
+                "https://github.com/logtd/ComfyUI-ReNoise"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-ReNoise",
+            "title": "ComfyUI-ReNoise"
+        },
+        {
+            "author": "logtd",
+            "description": "experimental node pack to test using reference videos for their motion.",
+            "files": [
+                "https://github.com/logtd/ComfyUI-MotionThiefExperiment"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-MotionThiefExperiment",
+            "title": "ComfyUI-MotionThiefExperiment"
+        },
+        {
+            "author": "logtd",
+            "description": "ComfyUI nodes to use [a/DiLightNet](https://github.com/iamNCJ/DiLightNet).\nThese nodes can run DiLightNet, but the Dust3r or BlenderPy implementations to create lighting are not included. Expect those to be added to seperate repos when time allows.",
+            "files": [
+                "https://github.com/logtd/ComfyUI-DiLightNet"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/logtd/ComfyUI-DiLightNet",
+            "title": "ComfyUI-DiLightNet"
+        },
+        {
+            "author": "Big-Idea-Technology",
+            "description": "ComfyUI-Book-Tools is a set o new nodes for ComfyUI that allows users to easily add text overlays to images within their ComfyUI projects. This Node leverages Python Imaging Library (PIL) and PyTorch to dynamically render text on images, supporting a wide range of customization options including font size, alignment, color, and padding. Loop with any parameters (*), prompt batch schedule with prompt selector, end queue for automatic ending current queue.",
+            "files": [
+                "https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools"
+            ],
+            "id": "booktool",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools",
+            "title": "ComfyUI-Book-Tools Nodes for ComfyUI"
+        },
+        {
+            "author": "Big Idea Technology",
+            "description": "The LLM_Node enhances ComfyUI by integrating advanced language model capabilities, enabling a wide range of NLP tasks such as text generation, content summarization, question answering, and more. This flexibility is powered by various transformer model architectures from the transformers library, allowing for the deployment of models like T5, GPT-2, and others based on your project's needs.",
+            "files": [
+                "https://github.com/Big-Idea-Technology/ComfyUI_LLM_Node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Big-Idea-Technology/ComfyUI_LLM_Node",
+            "title": "LLM Node for ComfyUI"
+        },
+        {
+            "author": "Guillaume-Fgt",
+            "description": "A custom node to create empty latents for Stable Cascade.\nfeatures: width and height incrementation of 64 by default, possibility to lock the aspect ratio, switch width/height at execution",
+            "files": [
+                "https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio"
+            ],
+            "id": "cascade-latent-ratio",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio",
+            "title": "ComfyUI_StableCascadeLatentRatio"
+        },
+        {
+            "author": "AuroBit",
+            "description": "A ComfyUI custom node that simply integrates the [a/OOTDiffusion](https://github.com/levihsu/OOTDiffusion) functionality.",
+            "files": [
+                "https://github.com/AuroBit/ComfyUI-OOTDiffusion"
+            ],
+            "id": "ootdiffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AuroBit/ComfyUI-OOTDiffusion",
+            "title": "ComfyUI OOTDiffusion"
+        },
+        {
+            "author": "AuroBit",
+            "description": "A ComfyUI custom node that simply integrates the [a/animate-anyone-reproduction](https://github.com/bendanzzc/AnimateAnyone-reproduction) functionality.",
+            "files": [
+                "https://github.com/AuroBit/ComfyUI-AnimateAnyone-reproduction"
+            ],
+            "id": "animateanyone-reproduction",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AuroBit/ComfyUI-AnimateAnyone-reproduction",
+            "title": "ComfyUI-AnimateAnyone-reproduction"
+        },
+        {
+            "author": "czcz1024",
+            "description": "Nodes:FaceCompare",
+            "files": [
+                "https://github.com/czcz1024/Comfyui-FaceCompare"
+            ],
+            "id": "facecompare",
+            "install_type": "git-clone",
+            "reference": "https://github.com/czcz1024/Comfyui-FaceCompare",
+            "title": "Face Compare"
+        },
+        {
+            "author": "TheBill2001",
+            "description": "This custom node allow upscaling an image by a factor using a model.",
+            "files": [
+                "https://github.com/TheBill2001/comfyui-upscale-by-model"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TheBill2001/comfyui-upscale-by-model",
+            "title": "comfyui-upscale-by-model"
+        },
+        {
+            "author": "TheBill2001",
+            "description": "Provide two custom nodes to load and save images with captions as separate files.",
+            "files": [
+                "https://github.com/TheBill2001/ComfyUI-Save-Image-Caption"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TheBill2001/ComfyUI-Save-Image-Caption",
+            "title": "Save Images with Captions"
+        },
+        {
+            "author": "leoleelxh",
+            "description": "A minimalist node that calls LLMs, combined with one API, can call all language models, including local models.",
+            "files": [
+                "https://github.com/leoleelxh/ComfyUI-LLMs"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leoleelxh/ComfyUI-LLMs",
+            "title": "ComfyUI-LLMs"
+        },
+        {
+            "author": "hughescr",
+            "description": "This is a single node which can take the POSE_KEYPOINT output from the OpenPose extractor node, parse it, and return x,y,width,height bounding boxes around any elements of the OpenPose skeleton",
+            "files": [
+                "https://github.com/hughescr/ComfyUI-OpenPose-Keypoint-Extractor"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/hughescr/ComfyUI-OpenPose-Keypoint-Extractor",
+            "title": "OpenPose Keypoint Extractor"
+        },
+        {
+            "author": "jkrauss82",
+            "description": "Nodes:SaveImgAdv, CLIPTextEncodeWithStats. Collection of tools supporting txt2img generation in ComfyUI and other tasks.",
+            "files": [
+                "https://github.com/jkrauss82/ultools-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jkrauss82/ultools-comfyui",
+            "title": "ULTools for ComfyUI"
+        },
+        {
+            "author": "hiforce",
+            "description": "Custom nodes pack provided by [a/HiFORCE](https://www.hiforce.net/) for ComfyUI. This custom node helps to conveniently enhance images through Sampler, Upscaler, Mask, and more.\nNOTE:You should install [a/ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack). Many optimizations are built upon the foundation of ComfyUI-Impact-Pack.",
+            "files": [
+                "https://github.com/hiforce/comfyui-hiforce-plugin"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/hiforce/comfyui-hiforce-plugin",
+            "title": "Comfyui HiFORCE Plugin"
+        },
+        {
+            "author": "kuschanow",
+            "description": "This custom node helps to transform latent in different ways.",
+            "files": [
+                "https://github.com/RomanKuschanow/ComfyUI-Advanced-Latent-Control"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/RomanKuschanow/ComfyUI-Advanced-Latent-Control",
+            "title": "Advanced Latent Control"
+        },
+        {
+            "author": "guill",
+            "description": "Nodes:Abracadabra Summary, Abracadabra",
+            "files": [
+                "https://github.com/guill/abracadabra-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/guill/abracadabra-comfyui",
+            "title": "abracadabra-comfyui"
+        },
+        {
+            "author": "cerspense",
+            "description": "Nodes:Image Dir Iterator, Modelscopet2v, Modelscopev2v, Vid Dir Iterator, Image Dir Iterator, Text File Line Iterator, Remap Range, Split Image Channels, Resize By Image, Increment Every N.",
+            "files": [
+                "https://github.com/cerspense/ComfyUI_cspnodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/cerspense/ComfyUI_cspnodes",
+            "title": "cspnodes"
+        },
+        {
+            "author": "qwixiwp",
+            "description": "Nodes:load images (queue tools). tools made for queueing in comfyUI",
+            "files": [
+                "https://github.com/qwixiwp/queuetools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/qwixiwp/queuetools",
+            "title": "queuetools"
+        },
+        {
+            "author": "Chan-0312",
+            "description": "Welcome to ComfyUI Prompt Preview, where you can visualize the styles from [sdxl_prompt_styler](https://github.com/twri/sdxl_prompt_styler).",
+            "files": [
+                "https://github.com/Chan-0312/ComfyUI-Prompt-Preview"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Chan-0312/ComfyUI-Prompt-Preview",
+            "title": "ComfyUI-Prompt-Preview"
+        },
+        {
+            "author": "munkyfoot",
+            "description": "This extension provides a node that allows you to overlay text on an image or a batch of images with support for custom fonts and styles.",
+            "files": [
+                "https://github.com/Munkyfoot/ComfyUI-TextOverlay"
+            ],
+            "id": "textoverlay-munkyfoot",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Munkyfoot/ComfyUI-TextOverlay",
+            "title": "ComfyUI-TextOverlay"
+        },
+        {
+            "author": "holchan",
+            "description": "A ComfyUI node to download models(Checkpoints and LoRA) from external links and act as an output standalone node.",
+            "files": [
+                "https://github.com/holchan/ComfyUI-ModelDownloader"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/holchan/ComfyUI-ModelDownloader",
+            "title": "ComfyUI-ModelDownloader"
+        },
+        {
+            "author": "CC-BryanOttho",
+            "description": "This package provides three custom nodes designed to streamline workflows involving API requests, dynamic text manipulation based on API responses, and image posting to APIs. These nodes are particularly useful for automating interactions with APIs, enhancing text-based workflows with dynamic data, and facilitating image uploads.",
+            "files": [
+                "https://github.com/CC-BryanOttho/ComfyUI_API_Manager"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/CC-BryanOttho/ComfyUI_API_Manager",
+            "title": "ComfyUI_API_Manager"
+        },
+        {
+            "author": "maracman",
+            "description": "Store a CSV of prompts where the style can change for each subject. The CSV node initialises with the column (style) and row (subject) names for easy interpretability.",
+            "files": [
+                "https://github.com/maracman/ComfyUI-SubjectStyle-CSV"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/maracman/ComfyUI-SubjectStyle-CSV",
+            "title": "ComfyUI-SubjectStyle-CSV"
+        },
+        {
+            "author": "438443467",
+            "description": "Nodes:GPT4V-Image-Captioner",
+            "files": [
+                "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner",
+            "title": "ComfyUI-GPT4V-Image-Captioner"
+        },
+        {
+            "author": "uetuluk",
+            "description": "Nodes:Webcam Capture",
+            "files": [
+                "https://github.com/uetuluk/comfyui-webcam-node"
+            ],
+            "id": "webcam",
+            "install_type": "git-clone",
+            "reference": "https://github.com/uetuluk/comfyui-webcam-node",
+            "title": "comfyui-webcam-node"
+        },
+        {
+            "author": "huchenlei",
+            "description": "ComfyUI implementation of [a/LayerDiffusion](https://github.com/layerdiffusion/LayerDiffusion).",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI-layerdiffuse"
+            ],
+            "id": "layerdiffuse",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI-layerdiffuse",
+            "title": "ComfyUI-layerdiffuse (layerdiffusion)"
+        },
+        {
+            "author": "huchenlei",
+            "description": "ComfyUI node of [a/Kohaku's DanTagGen Demo](https://huggingface.co/KBlueLeaf/DanTagGen?not-for-all-audiences=true).",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI_DanTagGen"
+            ],
+            "id": "dantangen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI_DanTagGen",
+            "title": "ComfyUI_DanTagGen"
+        },
+        {
+            "author": "huchenlei",
+            "description": "Port of [a/https://github.com/huchenlei/sd-webui-openpose-editor](https://github.com/huchenlei/sd-webui-openpose-editor) in ComfyUI",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI-openpose-editor"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI-openpose-editor",
+            "title": "ComfyUI-openpose-editor"
+        },
+        {
+            "author": "huchenlei",
+            "description": "ComfyUI native implementation of [a/IC-Light](https://github.com/lllyasviel/IC-Light).",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI-IC-Light-Native"
+            ],
+            "id": "ic-light-native",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI-IC-Light-Native",
+            "title": "ComfyUI-IC-Light-Native"
+        },
+        {
+            "author": "huchenlei",
+            "description": "[a/DenseDiffusion](https://github.com/naver-ai/DenseDiffusion) custom node for ComfyUI.",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI_densediffusion"
+            ],
+            "id": "densediffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI_densediffusion",
+            "title": "ComfyUI DenseDiffusion"
+        },
+        {
+            "author": "huchenlei",
+            "description": "ComfyUI implementation of [a/Omost](https://github.com/lllyasviel/Omost), and everything about regional prompt.\nNOTE: You need to install ComfyUI_densediffusion to use this node.",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI_omost"
+            ],
+            "id": "omost",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huchenlei/ComfyUI_omost",
+            "title": "ComfyUI_omost"
+        },
+        {
+            "author": "nathannlu",
+            "description": "Play with your pet while your workflow generates!",
+            "files": [
+                "https://github.com/nathannlu/ComfyUI-Pets"
+            ],
+            "id": "pets",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nathannlu/ComfyUI-Pets",
+            "title": "ComfyUI Pets"
+        },
+        {
+            "author": "nathannlu",
+            "description": "Run your workflow using cloud GPU resources, from your local ComfyUI.\nNOTE:After you first install the plugin...\nThe first time you click 'generate', you will be prompted to log into your account.Subsequent generations after the first is faster (the first run it takes a while to process your workflow). Once those two steps have been completed, you will be able to seamlessly generate your workflow on the cloud!",
+            "files": [
+                "https://github.com/nathannlu/ComfyUI-Cloud"
+            ],
+            "id": "cloud",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nathannlu/ComfyUI-Cloud",
+            "title": "Comfy Cloud"
+        },
+        {
+            "author": "11dogzi",
+            "description": "This is a node group kit that covers multiple nodes such as local refinement, tag management, random prompt words, text processing, image processing, mask processing, etc",
+            "files": [
+                "https://github.com/11dogzi/Comfyui-ergouzi-Nodes"
+            ],
+            "id": "ergouzi-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/11dogzi/Comfyui-ergouzi-Nodes",
+            "title": "Comfyui-ergouzi-Nodes"
+        },
+        {
+            "author": "11dogzi",
+            "description": "Partial redraw sampler and variant seed sampler",
+            "files": [
+                "https://github.com/11dogzi/Comfyui-ergouzi-samplers"
+            ],
+            "id": "ergouzi-samplers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/11dogzi/Comfyui-ergouzi-samplers",
+            "title": "Comfyui-ergouzi-samplers"
+        },
+        {
+            "author": "11dogzi",
+            "description": "Group switching control, one click control to ignore and disable multiple groups, as well as wired switch combination nodes, allowing for arbitrary switching of annotation names",
+            "files": [
+                "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan"
+            ],
+            "id": "ergouzi-kaiguan",
+            "install_type": "git-clone",
+            "reference": "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan",
+            "title": "Comfyui-ergouzi-kaiguan"
+        },
+        {
+            "author": "11dogzi",
+            "description": "This is a hierarchical auxiliary project of the IPAdapter project, which uses a slider to quickly control the hierarchical weights and add fully random and semi random modes",
+            "files": [
+                "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant"
+            ],
+            "id": "madassistant",
+            "install_type": "git-clone",
+            "reference": "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant",
+            "title": "ComfUI-EGAdapterMadAssistant"
+        },
+        {
+            "author": "BXYMartin",
+            "description": "Nodes:Multi-ControlNet Converter, List of Images, Convert PIL to Tensor (NHWC), Convert Tensor (NHWC) to (NCHW), Convert Tensor (NHWC) to PIL",
+            "files": [
+                "https://github.com/BXYMartin/ComfyUI-InstantIDUtils"
+            ],
+            "id": "instantid-utils",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BXYMartin/ComfyUI-InstantIDUtils",
+            "title": "ComfyUI-InstantIDUtils"
+        },
+        {
+            "author": "cdb-boop",
+            "description": "A simple node to round an input image up (pad) or down (crop) to the nearest integer multiple. Padding offset from left/bottom and the padding value are adjustable.",
+            "files": [
+                "https://github.com/cdb-boop/comfyui-image-round"
+            ],
+            "id": "image-round",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cdb-boop/comfyui-image-round",
+            "title": "comfyui-image-round"
+        },
+        {
+            "author": "cdb-boop",
+            "description": "Enhance old or low-quality images in ComfyUI. Optional features include automatic scratch removal and face enhancement. Based on Microsoft's Bringing-Old-Photos-Back-to-Life. Requires installing models, so see instructions here: https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life.",
+            "files": [
+                "https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life",
+            "title": "ComfyUI Bringing Old Photos Back to Life"
+        },
+        {
+            "author": "atmaranto",
+            "description": "A version of ComfyUI-to-Python-Extension that works as a custom node. Adds a button in the UI that saves the current workflow as a Python file, a CLI for converting workflows, and slightly better custom node support.",
+            "files": [
+                "https://github.com/atmaranto/ComfyUI-SaveAsScript"
+            ],
+            "id": "saveasscript",
+            "install_type": "git-clone",
+            "reference": "https://github.com/atmaranto/ComfyUI-SaveAsScript",
+            "title": "SaveAsScript"
+        },
+        {
+            "author": "meshmesh-io",
+            "description": "Nodes:ColorListMaskToImage, FlattenAndCombineMaskImages",
+            "files": [
+                "https://github.com/meshmesh-io/mm-comfyui-megamask"
+            ],
+            "id": "megamask",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meshmesh-io/mm-comfyui-megamask",
+            "title": "mm-comfyui-megamask"
+        },
+        {
+            "author": "meshmesh-io",
+            "description": "Nodes:Loop, LoopStart, LoopEnd, LoopStart_SEGIMAGE, LoopEnd_SEGIMAGE",
+            "files": [
+                "https://github.com/meshmesh-io/mm-comfyui-loopback"
+            ],
+            "id": "mm-loopback",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meshmesh-io/mm-comfyui-loopback",
+            "title": "mm-comfyui-loopback"
+        },
+        {
+            "author": "meshmesh-io",
+            "description": "Nodes:Masks to Colored Masks, Color Picker",
+            "files": [
+                "https://github.com/meshmesh-io/ComfyUI-MeshMesh"
+            ],
+            "id": "meshmesh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/meshmesh-io/ComfyUI-MeshMesh",
+            "title": "ComfyUI-MeshMesh"
+        },
+        {
+            "author": "CozyMantis",
+            "description": "A ComfyUI node to automatically extract masks for body regions and clothing/fashion items. Made with \ud83d\udc9a by the CozyMantis squad.",
+            "files": [
+                "https://github.com/cozymantis/human-parser-comfyui-node"
+            ],
+            "id": "humanparser",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cozymantis/human-parser-comfyui-node",
+            "title": "Cozy Human Parser"
+        },
+        {
+            "author": "CozyMantis",
+            "description": "Generate OpenPose face/body reference poses in ComfyUI with ease. Made with \ud83d\udc9a by the CozyMantis squad.",
+            "files": [
+                "https://github.com/cozymantis/pose-generator-comfyui-node"
+            ],
+            "id": "posegen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cozymantis/pose-generator-comfyui-node",
+            "title": "Cozy Reference Pose Generator"
+        },
+        {
+            "author": "CozyMantis",
+            "description": "Various cozy nodes, made with \ud83d\udc9a by the CozyMantis squad.",
+            "files": [
+                "https://github.com/cozymantis/cozy-utils-comfyui-nodes"
+            ],
+            "id": "cozy-utils",
+            "install_type": "git-clone",
+            "reference": "https://github.com/cozymantis/cozy-utils-comfyui-nodes",
+            "title": "Cozy Utils"
+        },
+        {
+            "author": "vivax3794",
+            "description": "Nodes:Inspect, Any String, Model From URL",
+            "files": [
+                "https://github.com/vivax3794/ComfyUI-Vivax-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/vivax3794/ComfyUI-Vivax-Nodes",
+            "title": "ComfyUI-Vivax-Nodes"
+        },
+        {
+            "author": "vivax3794",
+            "description": "Creating subgraph and Calling subgraphs.",
+            "files": [
+                "https://github.com/vivax3794/ComfyUI-Sub-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/vivax3794/ComfyUI-Sub-Nodes",
+            "title": "ComfyUI-Sub-Nodes"
+        },
+        {
+            "author": "victorchall",
+            "description": "This node captures images one at a time from your webcam when you click generate.\nThis is particular useful for img2img or controlnet workflows.\nNOTE:This node will take over your webcam, so if you have another program using it, you may need to close that program first. Likewise, you may need to close Comfyui or close the workflow to release the webcam.",
+            "files": [
+                "https://github.com/victorchall/comfyui_webcamcapture"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/victorchall/comfyui_webcamcapture",
+            "title": "Comfyui Webcam capture node"
+        },
+        {
+            "author": "ljleb",
+            "description": "model merging nodes powered by sd-mecha, a memory efficient state dict recipe merger.",
+            "files": [
+                "https://github.com/ljleb/comfy-mecha"
+            ],
+            "id": "mecha",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ljleb/comfy-mecha",
+            "title": "Mecha Merge Node Pack"
+        },
+        {
+            "author": "diSty",
+            "description": "This node creates a sequence of frames by moving and scaling a subject image over a background image.",
+            "files": [
+                "https://github.com/diStyApps/ComfyUI_FrameMaker"
+            ],
+            "id": "frame-maker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/diStyApps/ComfyUI_FrameMaker",
+            "title": "ComfyUI Frame Maker"
+        },
+        {
+            "author": "hackkhai",
+            "description": "This node improves the quality of the image mask. more suitable for image composite matting",
+            "files": [
+                "https://github.com/hackkhai/ComfyUI-Image-Matting"
+            ],
+            "id": "image-matting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hackkhai/ComfyUI-Image-Matting",
+            "title": "ComfyUI-Image-Matting"
+        },
+        {
+            "author": "Pos13",
+            "description": "This extension provides tools to iterate generation results between runs. In general, it's for cycles.",
+            "files": [
+                "https://github.com/Pos13/comfyui-cyclist"
+            ],
+            "id": "cyclist",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Pos13/comfyui-cyclist",
+            "title": "Cyclist"
+        },
+        {
+            "author": "ExponentialML",
+            "description": "Allows native usage of ModelScope based Text To Video Models in ComfyUI",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_ModelScopeT2V"
+            ],
+            "id": "modelscopet2v",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ExponentialML/ComfyUI_ModelScopeT2V",
+            "title": "ComfyUI_ModelScopeT2V"
+        },
+        {
+            "author": "ExponentialML",
+            "description": "DynamiCrafter that works natively with ComfyUI's nodes, optimizations, ControlNet, and more.",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter"
+            ],
+            "id": "dynamicrafter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter",
+            "title": "ComfyUI - Native DynamiCrafter"
+        },
+        {
+            "author": "ExponentialML",
+            "description": "ComfyUI Version of '[a/Visual Style Prompting with Swapping Self-Attention](https://github.com/naver-ai/Visual-Style-Prompting)'",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_VisualStylePrompting"
+            ],
+            "id": "visual-style-prompting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ExponentialML/ComfyUI_VisualStylePrompting",
+            "title": "ComfyUI_VisualStylePrompting"
+        },
+        {
+            "author": "angeloshredder",
+            "description": "Nodes:Cascade_Resizer",
+            "files": [
+                "https://github.com/angeloshredder/StableCascadeResizer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/angeloshredder/StableCascadeResizer",
+            "title": "StableCascadeResizer"
+        },
+        {
+            "author": "stavsap",
+            "description": "Custom ComfyUI Nodes for interacting with [a/Ollama](https://ollama.com/) using the [a/ollama python client](https://github.com/ollama/ollama-python).\nIntegrate the power of LLMs into CompfyUI workflows easily.",
+            "files": [
+                "https://github.com/stavsap/comfyui-ollama"
+            ],
+            "id": "ollama",
+            "install_type": "git-clone",
+            "reference": "https://github.com/stavsap/comfyui-ollama",
+            "title": "ComfyUI Ollama"
+        },
+        {
+            "author": "dchatel",
+            "description": "Nodes:SmartMask, ResizeCropFit, Percent Padding, SoftErosion, StringScheduleHelper, DStack, DavchaConditioningConcat, DavchaModelMergeSimple, DavchaCLIPMergeSimple, DavchaModelMergeSD1, DavchaModelMergeSDXL, ConditioningCompress... Some personal QoL and experimental nodes",
+            "files": [
+                "https://github.com/dchatel/comfyui_davcha"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/dchatel/comfyui_davcha",
+            "title": "comfyui_davcha"
+        },
+        {
+            "author": "dchatel",
+            "description": "These custom nodes provide a rotation aware face extraction, paste back, and various face related masking options.",
+            "files": [
+                "https://github.com/dchatel/comfyui_facetools"
+            ],
+            "id": "facetools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dchatel/comfyui_facetools",
+            "title": "comfyui_facetools"
+        },
+        {
+            "author": "prodogape",
+            "description": "This plugin is mainly based on Minio, implementing the ability to read images from Minio, save images, facilitating expansion and connection across multiple machines.",
+            "files": [
+                "https://github.com/prodogape/ComfyUI-Minio"
+            ],
+            "id": "minio",
+            "install_type": "git-clone",
+            "reference": "https://github.com/prodogape/ComfyUI-Minio",
+            "title": "Comfyui-Minio"
+        },
+        {
+            "author": "prodogape",
+            "description": "This node is primarily based on Easy-OCR to implement OCR text recognition functionality.",
+            "files": [
+                "https://github.com/prodogape/ComfyUI-EasyOCR"
+            ],
+            "id": "easyocr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/prodogape/ComfyUI-EasyOCR",
+            "title": "ComfyUI-EasyOCR"
+        },
+        {
+            "author": "prodogape",
+            "description": "This node is mainly based on [a/OmDet](https://github.com/om-ai-lab/OmDet) for object detection, and it outputs related images, masks, and Labelme JSON information.",
+            "files": [
+                "https://github.com/prodogape/ComfyUI-OmDet"
+            ],
+            "id": "omdet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/prodogape/ComfyUI-OmDet",
+            "title": "ComfyUI-OmDet"
+        },
+        {
+            "author": "prodogape",
+            "description": "This node is mainly based on the Yolov8 model for object detection, and it outputs related images, masks, and JSON information.[w/Repository url is changed. Please remove previous one and reinstall.]",
+            "files": [
+                "https://github.com/prodogape/Comfyui-Yolov8-JSON"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/prodogape/Comfyui-Yolov8-JSON",
+            "title": "Comfyui-Yolov8-JSON"
+        },
+        {
+            "author": "kingzcheung",
+            "description": "These nodes are mainly used to translate prompt words from other languages into English. PromptTranslateToText implements prompt word translation based on Helsinki NLP translation model.It doesn't require internet connection\u3002",
+            "files": [
+                "https://github.com/AIGCTeam/ComfyUI_kkTranslator_nodes"
+            ],
+            "id": "kktranslator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIGCTeam/ComfyUI_kkTranslator_nodes",
+            "title": "ComfyUI_kkTranslator_nodes"
+        },
+        {
+            "author": "vsevolod-oparin",
+            "description": "Nodes provide an options to combine prior and decoder models of Kandinsky 2.2.",
+            "files": [
+                "https://github.com/vsevolod-oparin/comfyui-kandinsky22"
+            ],
+            "id": "kandinsky",
+            "install_type": "git-clone",
+            "reference": "https://github.com/vsevolod-oparin/comfyui-kandinsky22",
+            "title": "Kandinsky 2.2 ComfyUI Plugin"
+        },
+        {
+            "author": "Xyem",
+            "description": "Xycuno Oobabooga provides custom nodes for ComfyUI, for sending requests to an [a/Oobabooga](https://github.com/oobabooga/text-generation-webui) instance to assist in creating prompt texts.",
+            "files": [
+                "https://github.com/Xyem/Xycuno-Oobabooga"
+            ],
+            "id": "xycuno-oobabooga",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Xyem/Xycuno-Oobabooga",
+            "title": "Xycuno Oobabooga"
+        },
+        {
+            "author": "shi3z",
+            "description": "You can use memeplex and DALL-E thru ComfyUI. You need API keys.",
+            "files": [
+                "https://github.com/shi3z/ComfyUI_Memeplex_DALLE"
+            ],
+            "id": "memeplex-dalle",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shi3z/ComfyUI_Memeplex_DALLE",
+            "title": "ComfyUI_Memeplex_DALLE"
+        },
+        {
+            "author": "if-ai",
+            "description": "Various AI tools to use in Comfy UI. Starting with VL and prompt making tools using Ollma as backend will evolve as I find time.",
+            "files": [
+                "https://github.com/if-ai/ComfyUI-IF_AI_tools"
+            ],
+            "id": "if-ai-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/if-ai/ComfyUI-IF_AI_tools",
+            "title": "ComfyUI-IF_AI_tools"
+        },
+        {
+            "author": "if-ai",
+            "description": "This repository hosts a Text-to-Speech (TTS) application that leverages Whisper Speech for voice synthesis, allowing users to train a voice model on-the-fly. It is built on ComfyUI and supports rapid training and inference processes.",
+            "files": [
+                "https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode"
+            ],
+            "id": "if-ai-whisper-speech",
+            "install_type": "git-clone",
+            "reference": "https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode",
+            "title": "ComfyUI-IF_AI_WishperSpeechNode"
+        },
+        {
+            "author": "if-ai",
+            "description": "Talking avatars Heads for the IF_AI tools integrates dreamtalk in ComfyUI",
+            "files": [
+                "https://github.com/if-ai/ComfyUI-IF_AI_HFDownloaderNode"
+            ],
+            "id": "if-ai-hfdownloader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/if-ai/ComfyUI-IF_AI_HFDownloaderNode",
+            "title": "ComfyUI-IF_AI_HFDownloaderNode"
+        },
+        {
+            "author": "dmMaze",
+            "description": "Apply screentone to line drawings or colored illustrations with diffusion models.",
+            "files": [
+                "https://github.com/dmMaze/sketch2manga"
+            ],
+            "id": "sketch2manga",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dmMaze/sketch2manga",
+            "title": "Sketch2Manga"
+        },
+        {
+            "author": "olduvai-jp",
+            "description": "Nodes:Lora Loader From HF",
+            "files": [
+                "https://github.com/olduvai-jp/ComfyUI-HfLoader"
+            ],
+            "id": "hfloader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/olduvai-jp/ComfyUI-HfLoader",
+            "title": "ComfyUI-HfLoader"
+        },
+        {
+            "author": "AiMiDi",
+            "description": "Nodes:Merge Tag, Clear Tag, Add Tag, Load Images Pair Batch, Save Images Pair",
+            "files": [
+                "https://github.com/AiMiDi/ComfyUI-Aimidi-nodes"
+            ],
+            "id": "aimidi-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AiMiDi/ComfyUI-Aimidi-nodes",
+            "title": "ComfyUI-Aimidi-nodes"
+        },
+        {
+            "author": "ForeignGods",
+            "description": "Font Animation, Speech Recognition, Caption Generator, TTS",
+            "files": [
+                "https://github.com/ForeignGods/ComfyUI-Mana-Nodes"
+            ],
+            "id": "mana-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ForeignGods/ComfyUI-Mana-Nodes",
+            "title": "ComfyUI-Mana-Nodes"
+        },
+        {
+            "author": "Cornea Valentin",
+            "description": "This ComfyUI custom node, named ControlNet Auxiliar, is designed to provide auxiliary functionalities for image processing tasks. It is particularly useful for various image manipulation and enhancement operations. The node is integrated with functionalities for converting images between different formats and applying various image processing techniques.",
+            "files": [
+                "https://github.com/madtunebk/ComfyUI-ControlnetAux"
+            ],
+            "id": "controlnet-aux-valentin",
+            "install_type": "git-clone",
+            "reference": "https://github.com/madtunebk/ComfyUI-ControlnetAux",
+            "title": "ControlNet Auxiliar"
+        },
+        {
+            "author": "MarkoCa1",
+            "description": "Text.",
+            "files": [
+                "https://github.com/MarkoCa1/ComfyUI-Text"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MarkoCa1/ComfyUI-Text",
+            "title": "ComfyUI-Text"
+        },
+        {
+            "author": "MarkoCa1",
+            "description": "Mask cutout based on Segment Anything.",
+            "files": [
+                "https://github.com/MarkoCa1/ComfyUI_Segment_Mask"
+            ],
+            "id": "seg-mask",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MarkoCa1/ComfyUI_Segment_Mask",
+            "title": "ComfyUI_Segment_Mask"
+        },
+        {
+            "author": "Shadetail",
+            "description": "Custom nodes for ComfyUI by Eagleshadow.",
+            "files": [
+                "https://github.com/Shadetail/ComfyUI_Eagleshadow"
+            ],
+            "id": "eagleshadow",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Shadetail/ComfyUI_Eagleshadow",
+            "title": "Eagleshadow Custom Nodes"
+        },
+        {
+            "author": "ArdeniusAI",
+            "description": "1 node to have control over your workflow.",
+            "files": [
+                "https://github.com/ArdeniusAI/CPlus_Ardenius"
+            ],
+            "id": "controlbox",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ArdeniusAI/CPlus_Ardenius",
+            "title": "CPlus_Ardenius ComfyUI Control Box"
+        },
+        {
+            "author": "Jannchie",
+            "description": "This is a completely different set of nodes than Comfy's own KSampler series. This set of nodes is based on Diffusers, which makes it easier to import models, apply prompts with weights, inpaint, reference only, controlnet, etc.",
+            "files": [
+                "https://github.com/Jannchie/ComfyUI-J"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Jannchie/ComfyUI-J",
+            "title": "ComfyUI-J"
+        },
+        {
+            "author": "daxcay",
+            "description": "Jerry Davos Custom Nodes for Saving Latents in Directory (BatchLatentSave) , Importing Latent from directory (BatchLatentLoadFromDir) , List to string, string to list, get any file list from directory which give filepath, filename, move any files from any directory to any other directory, VHS Video combine file mover, rebatch list of strings, batch image load from any dir, load image batch from any directory and other custom nodes.",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-JDCN"
+            ],
+            "id": "jdcn",
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxcay/ComfyUI-JDCN",
+            "title": "ComfyUI-JDCN"
+        },
+        {
+            "author": "daxcay",
+            "description": "Data research, preparation, and manipulation nodes for model trainers and artists.",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-DataSet"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxcay/ComfyUI-DataSet",
+            "title": "ComfyUI-DataSet"
+        },
+        {
+            "author": "daxcay",
+            "description": "Node to enable seamless multiuser workflow collaboration, run on local and remote comfy servers.",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-Nexus"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxcay/ComfyUI-Nexus",
+            "title": "ComfyUI-Nexus"
+        },
+        {
+            "author": "daxcay",
+            "description": "Node to enable WhatsApp in ComfyUI.",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-WA"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxcay/ComfyUI-WA",
+            "title": "ComfyUI-WA"
+        },
+        {
+            "author": "daxcay",
+            "description": "Node to enable Telegram in ComfyUI.",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-TG"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxcay/ComfyUI-TG",
+            "title": "ComfyUI-TG"
+        },
+        {
+            "author": "daxcay",
+            "description": "This node allows the execution of Node.js application within ComfyUI by leveraging the ComfyUI-NODEJS, which starts alongside ComfyUI and facilitates the installation of Node.js. The integration enables Python subprocesses to execute Node.js scripts.",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-NODEJS"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/daxcay/ComfyUI-NODEJS",
+            "title": "ComfyUI-NODEJS"
+        },
+        {
+            "author": "Seedsa",
+            "description": "This extension provides image generation features based on Fooocus.",
+            "files": [
+                "https://github.com/Seedsa/Fooocus_Nodes"
+            ],
+            "id": "fooocus-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Seedsa/Fooocus_Nodes",
+            "title": "ComfyUI Fooocus Nodes"
+        },
+        {
+            "author": "zhangp365",
+            "description": "Nodes:LoadImageWithSwitch, ImageBatchOneOrMore, ModifyTextGender, ImageCompositeMaskedWithSwitch, ColorCorrectOfUtils, SplitMask, MaskFastGrow, CheckpointLoaderSimpleWithSwitch, ImageResizeTo8x, MatchImageRatioToPreset etc.",
+            "files": [
+                "https://github.com/zhangp365/ComfyUI-utils-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zhangp365/ComfyUI-utils-nodes",
+            "title": "zhangp365/ComfyUI-utils-nodes"
+        },
+        {
+            "author": "ratulrafsan",
+            "description": "Dressup your models!\nThis is my quick implementation of the SAL-VTON node for ComfyUI.\nBased on the paper [a/Keyu Y. Tingwei G. et al. (2023). Linking Garment with Person via Semantically Associated Landmakrs for Virtual Try-On](https://openaccess.thecvf.com/content/CVPR2023/papers/Yan_Linking_Garment_With_Person_via_Semantically_Associated_Landmarks_for_Virtual_CVPR_2023_paper.pdf)",
+            "files": [
+                "https://github.com/ratulrafsan/Comfyui-SAL-VTON"
+            ],
+            "id": "sal-vton",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ratulrafsan/Comfyui-SAL-VTON",
+            "title": "Comfyui-SAL-VTON"
+        },
+        {
+            "author": "Nevysha",
+            "description": "A simple sidebar tweak to force fixe the ComfyUI menu to the top of the screen. Reaaally quick and dirty. May break with some ComfyUI setup.",
+            "files": [
+                "https://github.com/Nevysha/ComfyUI-nevysha-top-menu"
+            ],
+            "id": "nevysha-top-menu",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nevysha/ComfyUI-nevysha-top-menu",
+            "title": "ComfyUI-nevysha-top-menu"
+        },
+        {
+            "author": "alisson-anjos",
+            "description": "This is an extension for ComfyUI that makes it possible to use some LLM models provided by Ollama, such as Gemma, Llava (multimodal), Llama2, Llama3 or Mistral. Speaking specifically of the LLaVa - Large Language and Vision Assistant model, although trained on a relatively small dataset, it demonstrates exceptional capabilities in understanding images and answering questions about them. This model presents similar behaviors to multimodal models such as GPT-4, even when presented with invisible images and instructions.",
+            "files": [
+                "https://github.com/alisson-anjos/ComfyUI-Ollama-Describer"
+            ],
+            "id": "ollama-describer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alisson-anjos/ComfyUI-Ollama-Describer",
+            "title": "ComfyUI-Ollama-Describer"
+        },
+        {
+            "author": "chaosaiart",
+            "description": "LowVRAM Animation : txt2video - img2video - video2video , Frame by Frame, compatible with LowVRAM GPUs\nIncluded : Prompt Switch, Checkpoint Switch, Cache, Number Count by Frame, Ksampler txt2img & img2img ...",
+            "files": [
+                "https://github.com/chaosaiart/Chaosaiart-Nodes"
+            ],
+            "id": "chaosaiart",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chaosaiart/Chaosaiart-Nodes",
+            "title": "Chaosaiart-Nodes"
+        },
+        {
+            "author": "viperyl",
+            "description": "Bilateral Reference Network achieves SOTA result in multi Salient Object Segmentation dataset, this repo pack BiRefNet as ComfyUI nodes, and make this SOTA model easier use for everyone.",
+            "files": [
+                "https://github.com/viperyl/ComfyUI-BiRefNet"
+            ],
+            "id": "comfyui-birefnet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/viperyl/ComfyUI-BiRefNet",
+            "title": "ComfyUI-BiRefNet"
+        },
+        {
+            "author": "viperyl",
+            "description": "This repo cast Recursive Generalization Transformer for Image Super-Resolution to ComfyUI, the original [a/paper link](https://arxiv.org/abs/2303.06373) and [a/github link](https://github.com/zhengchen1999/RGT)",
+            "files": [
+                "https://github.com/viperyl/ComfyUI-RGT"
+            ],
+            "id": "rgt",
+            "install_type": "git-clone",
+            "pip": [
+                "loguru"
+            ],
+            "reference": "https://github.com/viperyl/ComfyUI-RGT",
+            "title": "ComfyUI-RGT"
+        },
+        {
+            "author": "SuperBeastsAI",
+            "description": "Nodes:HDR Effects (SuperBeasts.AI). This repository contains custom nodes for ComfyUI created and used by SuperBeasts.AI (@SuperBeasts.AI on Instagram)",
+            "files": [
+                "https://github.com/SuperBeastsAI/ComfyUI-SuperBeasts"
+            ],
+            "id": "superbeasts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SuperBeastsAI/ComfyUI-SuperBeasts",
+            "title": "ComfyUI-SuperBeasts"
+        },
+        {
+            "author": "hay86",
+            "description": "Unofficial implementation of [a/dreamtalk](https://github.com/ali-vilab/dreamtalk) for ComfyUI",
+            "files": [
+                "https://github.com/hay86/ComfyUI_Dreamtalk"
+            ],
+            "id": "dreamtalk",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_Dreamtalk",
+            "title": "ComfyUI Dreamtalk"
+        },
+        {
+            "author": "hay86",
+            "description": "Unofficial implementation of [a/hallo](https://github.com/fudan-generative-vision/hallo) for ComfyUI",
+            "files": [
+                "https://github.com/hay86/ComfyUI_Hallo"
+            ],
+            "id": "hallo-hay86",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_Hallo",
+            "title": "ComfyUI Hallo"
+        },
+        {
+            "author": "hay86",
+            "description": "Unofficial implementation of [a/OpenVoice](https://github.com/myshell-ai/OpenVoice) for ComfyUI",
+            "files": [
+                "https://github.com/hay86/ComfyUI_OpenVoice"
+            ],
+            "id": "openvoice-hay86",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_OpenVoice",
+            "title": "ComfyUI OpenVoice"
+        },
+        {
+            "author": "hay86",
+            "description": "Unofficial implementation of [a/DDColor](https://github.com/piddnad/DDColor) for ComfyUI",
+            "files": [
+                "https://github.com/hay86/ComfyUI_DDColor"
+            ],
+            "id": "ddcolor-hay86",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_DDColor",
+            "title": "ComfyUI DDColor"
+        },
+        {
+            "author": "hay86",
+            "description": "Unofficial implementation of [a/MiniCPM-V](https://github.com/OpenBMB/MiniCPM-V) for ComfyUI",
+            "files": [
+                "https://github.com/hay86/ComfyUI_MiniCPM-V"
+            ],
+            "id": "minicpm-v",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_MiniCPM-V",
+            "title": "ComfyUI MiniCPM-V"
+        },
+        {
+            "author": "hay86",
+            "description": "Some useful custom nodes that are not included in ComfyUI core yet.",
+            "files": [
+                "https://github.com/hay86/ComfyUI_AceNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/hay86/ComfyUI_AceNodes",
+            "title": "ComfyUI AceNodes"
+        },
+        {
+            "author": "shinich39",
+            "description": "This node is load png image sequentially with metadata. Only supported for PNG format that has been created by ComfyUI.[w/renamed from comfyui-load-image-39. You need to remove previous one and reinstall to this.]",
+            "files": [
+                "https://github.com/shinich39/comfyui-load-image-in-seq"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-load-image-in-seq",
+            "title": "comfyui-load-image-in-seq"
+        },
+        {
+            "author": "shinich39",
+            "description": "Shuffle nodes after queue added. [w/Repository name has been changed from comfyui-random-node-39 to comfyui-random-node. Please remove and reinstall it.]",
+            "files": [
+                "https://github.com/shinich39/comfyui-ramdom-node"
+            ],
+            "id": "random-node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-ramdom-node",
+            "title": "comfyui-random-node"
+        },
+        {
+            "author": "shinich39",
+            "description": "Store text to Key-Values pair json.",
+            "files": [
+                "https://github.com/shinich39/comfyui-local-db"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-local-db",
+            "title": "comfyui-local-db"
+        },
+        {
+            "author": "shinich39",
+            "description": "Store settings by model.",
+            "files": [
+                "https://github.com/shinich39/comfyui-model-db"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-model-db",
+            "title": "comfyui-model-db"
+        },
+        {
+            "author": "shinich39",
+            "description": "Load image and partially workflow with javascript.",
+            "files": [
+                "https://github.com/shinich39/comfyui-load-image-with-cmd"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-load-image-with-cmd",
+            "title": "comfyui-load-image-with-cmd"
+        },
+        {
+            "author": "shinich39",
+            "description": "Connect a new link from out of screen.",
+            "files": [
+                "https://github.com/shinich39/comfyui-connect-from-afar"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-connect-from-afar",
+            "title": "connect-from-afar"
+        },
+        {
+            "author": "shinich39",
+            "description": "Move canvas to target on dragging connection.",
+            "files": [
+                "https://github.com/shinich39/comfyui-target-search"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-target-search",
+            "title": "comfyui-target-search"
+        },
+        {
+            "author": "shinich39",
+            "description": "Create a new group of nodes.",
+            "files": [
+                "https://github.com/shinich39/comfyui-group-selection"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-group-selection",
+            "title": "comfyui-group-selection"
+        },
+        {
+            "author": "shinich39",
+            "description": "Add keybindings to textarea.",
+            "files": [
+                "https://github.com/shinich39/comfyui-textarea-keybindings"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-textarea-keybindings",
+            "title": "comfyui-textarea-keybindings"
+        },
+        {
+            "author": "shinich39",
+            "description": "Load image from directory.",
+            "files": [
+                "https://github.com/shinich39/comfyui-put-image"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-put-image",
+            "title": "comfyui-put-image"
+        },
+        {
+            "author": "shinich39",
+            "description": "Extract metadata from image.",
+            "files": [
+                "https://github.com/shinich39/comfyui-parse-image"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/shinich39/comfyui-parse-image",
+            "title": "comfyui-parse-image"
+        },
+        {
+            "author": "wei30172",
+            "description": "Setting Up a Web Interface Using ComfyUI.\nNOTE:When installed, you can access it via http://127.0.0.1:8188/comfygen.",
+            "files": [
+                "https://github.com/wei30172/comfygen"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wei30172/comfygen",
+            "title": "comfygen"
+        },
+        {
+            "author": "zombieyang",
+            "description": "getting/sending picture from/to Photoshop with a simple connection. Make Photoshop become the workspace of your ComfyUI",
+            "files": [
+                "https://github.com/zombieyang/sd-ppp"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zombieyang/sd-ppp",
+            "title": "SD-PPP"
+        },
+        {
+            "author": "KytraScript",
+            "description": "A ComfyUI node that utilizes Moviepy to convert and send your images or videos to a webhook endpoint directly from ComfyUI.",
+            "files": [
+                "https://github.com/KytraScript/ComfyUI_KytraWebhookHTTP"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/KytraScript/ComfyUI_KytraWebhookHTTP",
+            "title": "ComfyUI_KytraWebhookHTTP"
+        },
+        {
+            "author": "1mckw",
+            "description": "Get random images from gelbooru, support multiple tag searches, exclude tags, etc. user and api key are optional.",
+            "files": [
+                "https://github.com/1mckw/Comfyui-Gelbooru"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/1mckw/Comfyui-Gelbooru",
+            "title": "Comfyui-Gelbooru"
+        },
+        {
+            "author": "NeuralSamurAI",
+            "description": "The SuperPrompter node is a ComfyUI node that uses the SuperPrompt-v1 model from Hugging Face to generate text based on a given prompt. It provides various parameters to control the text generation process.",
+            "files": [
+                "https://github.com/NeuralSamurAI/Comfyui-Superprompt-Unofficial"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/NeuralSamurAI/Comfyui-Superprompt-Unofficial",
+            "title": "SuperPrompter Node for ComfyUI"
+        },
+        {
+            "author": "NeuralSamurAI",
+            "description": "Dimensional Latent Perlin is a custom node for ComfyUI that generates Perlin noise in the latent space. This node is designed to work seamlessly with various diffusion models and can be used as an alternative or complement to standard random noise generators in image generation pipelines.",
+            "files": [
+                "https://github.com/NeuralSamurAI/ComfyUI-Dimensional-Latent-Perlin"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/NeuralSamurAI/ComfyUI-Dimensional-Latent-Perlin",
+            "title": "Dimensional Latent Perlin for ComfyUI"
+        },
+        {
+            "author": "NeuralSamurAI",
+            "description": "PromptJSON is a custom node for ComfyUI that structures natural language prompts and generates prompts for external LLM nodes in image generation workflows. It aids in creating consistent, schema-based image descriptions.",
+            "files": [
+                "https://github.com/NeuralSamurAI/ComfyUI-PromptJSON"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/NeuralSamurAI/ComfyUI-PromptJSON",
+            "title": "PromptJSON Node for ComfyUI"
+        },
+        {
+            "author": "NeuralSamurAI",
+            "description": "FluxPseudoNegative is an advanced custom node for ComfyUI that converts negative prompts into positive ones. It's designed to enhance prompt engineering for image generation models that don't natively support negative prompts or where using negative prompts significantly increases generation time. So instead of hacking CFG we simply invert your negative words and find their antonyms!",
+            "files": [
+                "https://github.com/NeuralSamurAI/ComfyUI-FluxPseudoNegativePrompt"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/NeuralSamurAI/ComfyUI-FluxPseudoNegativePrompt",
+            "title": "FluxPseudoNegative"
+        },
+        {
+            "author": "MokkaBoss1",
+            "description": "Node Pack mostly for manipulating strings and integers",
+            "files": [
+                "https://github.com/MokkaBoss1/ComfyUI_Mokkaboss1"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MokkaBoss1/ComfyUI_Mokkaboss1/wiki/Documentation-for-the-ComfyUI-Nodes-in-this-Node-Pack",
+            "title": "Node Pack mostly for manipulating strings and integers"
+        },
+        {
+            "author": "jiaxiangc",
+            "description": "We provide ComfyUI-ResAdapter node to help users to use [a/ResAdapter](https://github.com/bytedance/res-adapter) in ComfyUI.",
+            "files": [
+                "https://github.com/jiaxiangc/ComfyUI-ResAdapter"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jiaxiangc/ComfyUI-ResAdapter",
+            "title": "ResAdapter for ComfyUI"
+        },
+        {
+            "author": "ParisNeo",
+            "description": "lollms_nodes_suite is a set of nodes for comfyui that harnesses the power of lollms, a state-of-the-art AI text generation tool, to improve the quality of image generation.",
+            "files": [
+                "https://github.com/ParisNeo/lollms_nodes_suite"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ParisNeo/lollms_nodes_suite",
+            "title": "lollms_nodes_suite"
+        },
+        {
+            "author": "IsItDanOrAi",
+            "description": "This initiative represents a solo venture dedicated to integrating a stereopsis effect within ComfyUI (Stable Diffusion). Presently, the project is focused on the refinement of node categorization within a unified framework, as it is in the early stages of development. However, it has achieved functionality in a fundamental capacity. By processing a video through the Side-by-Side (SBS) node and applying Frame Delay to one of the inputs, it facilitates the creation of a stereopsis effect. This effect is compatible with any Virtual Reality headset that supports SBS video playback, offering a practical application in immersive media experiences.",
+            "files": [
+                "https://github.com/IsItDanOrAi/ComfyUI-Stereopsis"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/IsItDanOrAi/ComfyUI-Stereopsis",
+            "title": "ComfyUI-Stereopsis"
+        },
+        {
+            "author": "nickve28",
+            "description": "Several utility nodes for use with ComfyUI.",
+            "files": [
+                "https://github.com/nickve28/ComfyUI-Nich-Utils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nickve28/ComfyUI-Nich-Utils",
+            "title": "ComfyUI Nich Utils"
+        },
+        {
+            "author": "FrankChieng",
+            "description": "implementation of [a/AniPortrait](https://github.com/Zejun-Yang/AniPortrait) generating of videos, includes self driven, face reenacment and audio driven with a reference image",
+            "files": [
+                "https://github.com/frankchieng/ComfyUI_Aniportrait"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/frankchieng/ComfyUI_Aniportrait",
+            "title": "ComfyUI_Aniportrait"
+        },
+        {
+            "author": "FrankChieng",
+            "description": "implementation of MagicClothing with garment and prompt in ComfyUI",
+            "files": [
+                "https://github.com/frankchieng/ComfyUI_MagicClothing"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/frankchieng/ComfyUI_MagicClothing",
+            "title": "ComfyUI_MagicClothing"
+        },
+        {
+            "author": "BlakeOne",
+            "description": "Create a custom scheduler from a weighted average of the built-in schedulers",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-SchedulerMixer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlakeOne/ComfyUI-SchedulerMixer",
+            "title": "ComfyUI SchedulerMixer"
+        },
+        {
+            "author": "BlakeOne",
+            "description": "Simple node for setting the sigma values directly. Note, for a full denoise the last sigma should be zero.",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-CustomScheduler"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlakeOne/ComfyUI-CustomScheduler",
+            "title": "ComfyUI CustomScheduler"
+        },
+        {
+            "author": "BlakeOne",
+            "description": "An extension for ComyUI that enables saving and loading node presets using the node's context menu.\nRight click a node and choose 'Presets' from its context menu to access the node's presets.",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-NodePresets"
+            ],
+            "id": "nodepresets",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlakeOne/ComfyUI-NodePresets",
+            "title": "ComfyUI NodePresets"
+        },
+        {
+            "author": "BlakeOne",
+            "description": "An extension for ComyUI to allow resetting a node's inputs to their default values.\nNOTE:Right click any node and choose 'Reset' from the context menu.",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-NodeReset"
+            ],
+            "id": "nodereset",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BlakeOne/ComfyUI-NodeReset",
+            "title": "ComfyUI NodeReset"
+        },
+        {
+            "author": "kale4eat",
+            "description": "Path utility for ComfyUI",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-path-util"
+            ],
+            "id": "demucus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kale4eat/ComfyUI-path-util",
+            "title": "ComfyUI_demucus"
+        },
+        {
+            "author": "kale4eat",
+            "description": "String utility for ComfyUI",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-string-util"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kale4eat/ComfyUI-string-util",
+            "title": "ComfyUI-string-util"
+        },
+        {
+            "author": "kale4eat",
+            "description": "Text file utility for ComfyUI",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-text-file-util"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kale4eat/ComfyUI-text-file-util",
+            "title": "ComfyUI-text-file-util"
+        },
+        {
+            "author": "kale4eat",
+            "description": "Basic audio tools using torchaudio for ComfyUI. It is assumed to assist in the speech dataset creation for ASR, TTS, etc.",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-speech-dataset-toolkit"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kale4eat/ComfyUI-speech-dataset-toolkit",
+            "title": "ComfyUI-speech-dataset-toolkit"
+        },
+        {
+            "author": "DrMWeigand",
+            "description": "A collection of nodes for detecting color in images, leveraging RGB and LAB color spaces. These nodes aim to distinguish colored images from black and white, including those with color tints.",
+            "files": [
+                "https://github.com/DrMWeigand/ComfyUI_ColorImageDetection"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DrMWeigand/ComfyUI_ColorImageDetection",
+            "title": "ComfyUI Color Detection Nodes"
+        },
+        {
+            "author": "bobmagicii",
+            "description": "Nodes:LoraWithMetadata, TypecasterImage.",
+            "files": [
+                "https://github.com/bobmagicii/comfykit-custom-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bobmagicii/comfykit-custom-nodes",
+            "title": "ComfyKit Custom Nodes"
+        },
+        {
+            "author": "TJ16th",
+            "description": "Custom Node for comfyUI for virtual lighting based on normal map.\nYou can use normal maps to add virtual lighting effects to your images.",
+            "files": [
+                "https://github.com/TJ16th/comfyUI_TJ_NormalLighting"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TJ16th/comfyUI_TJ_NormalLighting",
+            "title": "comfyUI_TJ_NormalLighting"
+        },
+        {
+            "author": "A4P7J1N7M05OT",
+            "description": "A barebones ComfyUI wrapper for [a/PixelOE](https://github.com/KohakuBlueleaf/PixelOE).\nI cannot promise any support, if there is someone who wants to make a proper node, please do.",
+            "files": [
+                "https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE",
+            "title": "ComfyUI-PixelOE"
+        },
+        {
+            "author": "A4P7J1N7M05OT",
+            "description": "Shamelessly copied the code to auto color correct the image like in gimp from this answer: [a/https://stackoverflow.com/a/56365560/4561887](https://stackoverflow.com/a/56365560/4561887)",
+            "files": [
+                "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp",
+            "title": "ComfyUI-AutoColorGimp"
+        },
+        {
+            "author": "ronniebasak",
+            "description": "Tara is a powerful node for ComfyUI that integrates Large Language Models (LLMs) to enhance and automate workflow processes. With Tara, you can create complex, intelligent workflows that refine and generate content, manage API keys, and seamlessly integrate various LLMs into your projects.",
+            "files": [
+                "https://github.com/ronniebasak/ComfyUI-Tara-LLM-Integration"
+            ],
+            "id": "tarallm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ronniebasak/ComfyUI-Tara-LLM-Integration",
+            "title": "ComfyUI-Tara-LLM-Integration"
+        },
+        {
+            "author": "Sida Liu",
+            "description": "Attach a debug node to an output to obtain more detailed information. Uncover the details of your models in ComfyUI with ease.",
+            "files": [
+                "https://github.com/liusida/ComfyUI-Debug"
+            ],
+            "id": "debug",
+            "install_type": "git-clone",
+            "reference": "https://github.com/liusida/ComfyUI-Debug",
+            "title": "ComfyUI-Debug"
+        },
+        {
+            "author": "Sida Liu",
+            "description": "A simple password to protect ComfyUI.",
+            "files": [
+                "https://github.com/liusida/ComfyUI-Login"
+            ],
+            "id": "login",
+            "install_type": "git-clone",
+            "reference": "https://github.com/liusida/ComfyUI-Login",
+            "title": "ComfyUI-Login"
+        },
+        {
+            "author": "Sida Liu",
+            "description": "Use RetinaFace to detect and automatically crop faces.",
+            "files": [
+                "https://github.com/liusida/ComfyUI-AutoCropFaces"
+            ],
+            "id": "autocropfaces",
+            "install_type": "git-clone",
+            "reference": "https://github.com/liusida/ComfyUI-AutoCropFaces",
+            "title": "ComfyUI-AutoCropFaces"
+        },
+        {
+            "author": "Sida Liu",
+            "description": "Nodes that support Stable Diffusion 3 Medium better.",
+            "files": [
+                "https://github.com/liusida/ComfyUI-SD3-nodes"
+            ],
+            "id": "sd3-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/liusida/ComfyUI-SD3-nodes",
+            "title": "ComfyUI-SD3-nodes"
+        },
+        {
+            "author": "Sida Liu",
+            "description": "Load and apply B-LoRA models, currently B-LoRA models only works with SDXL (sdxl_base_1.0).",
+            "files": [
+                "https://github.com/liusida/ComfyUI-B-LoRA"
+            ],
+            "id": "b-lora",
+            "install_type": "git-clone",
+            "reference": "https://github.com/liusida/ComfyUI-B-LoRA",
+            "title": "ComfyUI-B-LoRA"
+        },
+        {
+            "author": "jtydhr88",
+            "description": "Encrypt your comfyui workflow, and share it with key",
+            "files": [
+                "https://github.com/jtydhr88/ComfyUI-Workflow-Encrypt"
+            ],
+            "id": "workflow-encrypt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jtydhr88/ComfyUI-Workflow-Encrypt",
+            "title": "ComfyUI-Workflow-Encrypt"
+        },
+        {
+            "author": "jtydhr88",
+            "description": "ComfyUI LayerDivider is custom nodes that generating layered psd files inside ComfyUI[w/Please follow readme and run install_windows_portable_win_py311_cu121 for ComfyUI embedded python.]",
+            "files": [
+                "https://github.com/jtydhr88/ComfyUI-LayerDivider"
+            ],
+            "id": "layer-divider",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jtydhr88/ComfyUI-LayerDivider",
+            "title": "ComfyUI LayerDivider"
+        },
+        {
+            "author": "jtydhr88",
+            "description": "ComfyUI Unique3D is custom nodes that running AiuniAI/Unique3D into ComfyUI[w/Please follow readme to install with ComfyUI embedded python.]",
+            "files": [
+                "https://github.com/jtydhr88/ComfyUI-Unique3D"
+            ],
+            "id": "unique3d",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jtydhr88/ComfyUI-Unique3D",
+            "title": "ComfyUI Unique3D"
+        },
+        {
+            "author": "SeaArtLab",
+            "description": "This project implements the comfyui for long-clip, currently supporting the replacement of clip-l. For SD1.5, the SeaArtLongClip module can be used to replace the original clip in the model, expanding the token length from 77 to 248.",
+            "files": [
+                "https://github.com/SeaArtLab/ComfyUI-Long-CLIP"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SeaArtLab/ComfyUI-Long-CLIP",
+            "title": "ComfyUI-Long-CLIP"
+        },
+        {
+            "author": "tsogzark",
+            "description": "A simple node to load image from local path or http url.\nYou can find this node from 'image' category.",
+            "files": [
+                "https://github.com/tsogzark/ComfyUI-load-image-from-url"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/tsogzark/ComfyUI-load-image-from-url",
+            "title": "ComfyUI-load-image-from-url"
+        },
+        {
+            "author": "discus0434",
+            "description": "This repository simply caches the CLIP embeddings and subtly accelerates the inference process by bypassing unnecessary computations.",
+            "files": [
+                "https://github.com/discus0434/comfyui-caching-embeddings"
+            ],
+            "id": "caching-embeddings",
+            "install_type": "git-clone",
+            "reference": "https://github.com/discus0434/comfyui-caching-embeddings",
+            "title": "ComfyUI Caching Embeddings"
+        },
+        {
+            "author": "discus0434",
+            "description": "Simple ComfyUI node that predicts the score of an aesthetic image with SigLIP-based predictor.",
+            "files": [
+                "https://github.com/discus0434/comfyui-aesthetic-predictor-v2-5"
+            ],
+            "id": "aesthetic-predictor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/discus0434/comfyui-aesthetic-predictor-v2-5",
+            "title": "ComfyUI Aesthetic Predictor V2.5"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/StyleShot](https://github.com/open-mmlab/StyleShot.git)",
+            "files": [
+                "https://github.com/AIFSH/StyleShot-ComfyUI"
+            ],
+            "id": "styleshot",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/StyleShot-ComfyUI",
+            "title": "StyleShot-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for separation vocals from music based on [a/ZFTurbo/Music-Source-Separation-Training](https://github.com/ZFTurbo/Music-Source-Separation-Training)",
+            "files": [
+                "https://github.com/AIFSH/VocalSeparation-ComfyUI"
+            ],
+            "id": "vocalseparation",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/VocalSeparation-ComfyUI",
+            "title": "VocalSeparation-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/DiffMorpher](https://github.com/Kevin-thu/DiffMorpher),you can find base workflow in [a/doc](https://github.com/AIFSH/DiffMorpher-ComfyUI/blob/main/doc)",
+            "files": [
+                "https://github.com/AIFSH/DiffMorpher-ComfyUI"
+            ],
+            "id": "diffmorpher",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/DiffMorpher-ComfyUI",
+            "title": "DiffMorpher-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "the custom code for [a/UVR5](https://github.com/Anjok07/ultimatevocalremovergui) to separate vocals and background music",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-UVR5"
+            ],
+            "id": "uvr5",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-UVR5",
+            "title": "ComfyUI-UVR5"
+        },
+        {
+            "author": "AIFSH",
+            "description": "Nodes:IP_LAP Node, Video Loader, PreView Video, Combine Audio Video. the comfyui custom node of [a/IP_LAP](https://github.com/Weizhi-Zhong/IP_LAP) to make audio driven videos!",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-IP_LAP"
+            ],
+            "id": "iplap",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-IP_LAP",
+            "title": "ComfyUI-IP_LAP"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS)! you can voice cloning and tts in comfyui now\n[w/NOTE:make sure ffmpeg is worked in your commandline]",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-GPT_SoVITS"
+            ],
+            "id": "sovits",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-GPT_SoVITS",
+            "title": "ComfyUI-GPT_SoVITS"
+        },
+        {
+            "author": "AIFSH",
+            "description": "the comfyui custom node of [a/MuseTalk](https://github.com/TMElyralab/MuseTalk) to make audio driven videos!",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MuseTalk_FSH"
+            ],
+            "id": "musetalk-fsh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-MuseTalk_FSH",
+            "title": "ComfyUI-MuseTalk_FSH"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui cuatom node for audio subtitling based on [a/whisperX](https://github.com/m-bain/whisperX.git) and [a/translators](https://github.com/UlionTse/translators)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-WhisperX"
+            ],
+            "id": "whisperx",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-WhisperX",
+            "title": "ComfyUI-WhisperX"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git), you can Voice-Conversion in comfyui now!\nNOTE: make sure ffmpeg is worked in your commandline for Linux",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-RVC"
+            ],
+            "id": "aifsh-rvc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-RVC",
+            "title": "ComfyUI-RVC"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom comfyui node for [a/coqui-ai/TTS](https://github.com/coqui-ai/TTS.git)'s xtts module! support 17 languages voice cloning and tts",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-XTTS"
+            ],
+            "id": "xtts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-XTTS",
+            "title": "ComfyUI-XTTS"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui node for viewing Live2D model",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-Live2DViewer"
+            ],
+            "id": "live2dviewer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-Live2DViewer",
+            "title": "ComfyUI-Live2DViewer"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom comfyui node for [a/fish-speech](https://github.com/fishaudio/fish-speech.git)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-FishSpeech"
+            ],
+            "id": "fishspeech",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-FishSpeech",
+            "title": "ComfyUI-FishSpeech"
+        },
+        {
+            "author": "AIFSH",
+            "description": "the comfyui custom node of [a/V-Express](https://github.com/tencent-ailab/V-Express) to make audio driven videos!",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI_V-Express"
+            ],
+            "id": "v-express-aifsh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI_V-Express",
+            "title": "ComfyUI_V-Express"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/MimicBrush](https://github.com/ali-vilab/MimicBrush),then inpainting with reference image.",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MimicBrush"
+            ],
+            "id": "mimicbrush",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-MimicBrush",
+            "title": "ComfyUI-MimicBrush"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/hallo](https://github.com/fudan-generative-vision/hallo)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-Hallo"
+            ],
+            "id": "hallo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-Hallo",
+            "title": "ComfyUI-Hallo"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/UniAnimate](https://github.com/ali-vilab/UniAnimate)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-UniAnimate"
+            ],
+            "id": "unianimate",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-UniAnimate",
+            "title": "ComfyUI-UniAnimate"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/3d-photo-inpainting](https://github.com/vt-vl-lab/3d-photo-inpainting),then you can render one image to zoom-in/dolly zoom/swing motion/circle motion video",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-3d-photo-inpainting"
+            ],
+            "id": "3d-photo-inpainting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-3d-photo-inpainting",
+            "title": "ComfyUI-3d-photo-inpainting"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a node for [a/AuraSR](https://github.com/fal-ai/aura-sr)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-AuraSR"
+            ],
+            "id": "aurasr-aifsh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-AuraSR",
+            "title": "AIFSH/ComfyUI-AuraSR"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/MARS5-TTS](https://github.com/Camb-ai/MARS5-TTS)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MARS5-TTS"
+            ],
+            "id": "mars5-tts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-MARS5-TTS",
+            "title": "ComfyUI-MARS5-TTS"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/I2V-Adapter](https://github.com/KwaiVGI/I2V-Adapter)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-I2V-Adapter"
+            ],
+            "id": "i2v-adapter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-I2V-Adapter",
+            "title": "ComfyUI-I2V-Adapter"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/MimicMotion](https://github.com/Tencent/MimicMotion)",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MimicMotion"
+            ],
+            "id": "mimicmotion-aifsh",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-MimicMotion",
+            "title": "ComfyUI-MimicMotion"
+        },
+        {
+            "author": "AIFSH",
+            "description": "make [a/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) available in ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-DiffSynth-Studio"
+            ],
+            "id": "diffsynth-studio",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/ComfyUI-DiffSynth-Studio",
+            "title": "ComfyUI-DiffSynth-Studio"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/CosyVoice](https://github.com/FunAudioLLM/CosyVoice)",
+            "files": [
+                "https://github.com/AIFSH/CosyVoice-ComfyUI"
+            ],
+            "id": "cosyvoice",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/CosyVoice-ComfyUI",
+            "title": "CosyVoice-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/SenseVoice](https://github.com/FunAudioLLM/SenseVoice)",
+            "files": [
+                "https://github.com/AIFSH/SenseVoice-ComfyUI"
+            ],
+            "id": "sensevoice",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/SenseVoice-ComfyUI",
+            "title": "SenseVoice-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/AniTalker](https://github.com/X-LANCE/AniTalker)",
+            "files": [
+                "https://github.com/AIFSH/AniTalker-ComfyUI"
+            ],
+            "id": "anitalker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/AniTalker-ComfyUI",
+            "title": "AniTalker-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/DH_live](https://github.com/kleinlee/DH_live)",
+            "files": [
+                "https://github.com/AIFSH/DHLive-ComfyUI"
+            ],
+            "id": "dhlive",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/DHLive-ComfyUI",
+            "title": "DHLive-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a comfyui custom node for [a/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS)",
+            "files": [
+                "https://github.com/AIFSH/GSTTS-ComfyUI"
+            ],
+            "id": "gstts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/GSTTS-ComfyUI",
+            "title": "GSTTS-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/FancyVideo](https://github.com/360CVGroup/FancyVideo)",
+            "files": [
+                "https://github.com/AIFSH/FancyVideo-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/FancyVideo-ComfyUI",
+            "title": "FancyVideo-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "NODES:TextNode, PreViewVideo, VideoSysNode.",
+            "files": [
+                "https://github.com/AIFSH/VideoSys-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/VideoSys-ComfyUI",
+            "title": "VideoSys-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/HivisionIDPhotos](https://github.com/Zeyi-Lin/HivisionIDPhotos)",
+            "files": [
+                "https://github.com/AIFSH/HivisionIDPhotos-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/HivisionIDPhotos-ComfyUI",
+            "title": "HivisionIDPhotos-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)",
+            "files": [
+                "https://github.com/AIFSH/DiffSynth-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/DiffSynth-ComfyUI",
+            "title": "DiffSynth-ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "description": "a custom node for [a/RealisDance](https://github.com/damo-cv/RealisDance)",
+            "files": [
+                "https://github.com/AIFSH/RealisDance-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AIFSH/RealisDance-ComfyUI",
+            "title": "RealisDance-ComfyUI"
+        },
+        {
+            "author": "Koishi-Star",
+            "description": "\u0421omfyUI version of [a/Euler Smea Dyn Sampler](https://github.com/Koishi-Star/Euler-Smea-Dyn-Sampler). It adds samplers directly to KSampler nodes.",
+            "files": [
+                "https://github.com/Koishi-Star/Euler-Smea-Dyn-Sampler"
+            ],
+            "id": "smea",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Koishi-Star/Euler-Smea-Dyn-Sampler",
+            "title": "Euler-Smea-Dyn-Sampler"
+        },
+        {
+            "author": "sdfxai",
+            "description": "SDFXBridgeForComfyUI is a custom node designed for seamless integration between ComfyUI and SDFX. This custom node allows users to make ComfyUI compatible with SDFX when running the ComfyUI instance on their local machines.",
+            "files": [
+                "https://github.com/sdfxai/SDFXBridgeForComfyUI"
+            ],
+            "id": "sdfx",
+            "install_type": "git-clone",
+            "reference": "https://github.com/sdfxai/SDFXBridgeForComfyUI",
+            "title": "SDFXBridgeForComfyUI - ComfyUI Custom Node for SDFX Integration"
+        },
+        {
+            "author": "smthemex",
+            "description": "FoleyCrafter is a video-to-audio generation framework which can produce realistic sound effects semantically relevant and synchronized with videos.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_FoleyCrafter"
+            ],
+            "id": "comfyui_foleycrafter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_FoleyCrafter",
+            "title": "ComfyUI_FoleyCrafter"
+        },
+        {
+            "author": "smthemex",
+            "description": "using diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Diffree"
+            ],
+            "id": "comfyui_diffree",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Diffree",
+            "title": "ComfyUI_Diffree"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can apply makeup to the characters in comfyui\nStable_Makeup From: [a/Stable_Makeup](https://github.com/Xiaojiu-z/Stable-Makeup)",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Stable_Makeup"
+            ],
+            "id": "Stable_Makeup",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Stable_Makeup",
+            "title": "ComfyUI_Stable_Makeup"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can make emoji from a video and a image in comfyui",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_FollowYourEmoji"
+            ],
+            "id": "FollowYourEmoji",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_FollowYourEmoji",
+            "title": "ComfyUI_FollowYourEmoji"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can using [a/EchoMimic](https://github.com/BadToBest/EchoMimic/tree/main) in comfyui,whitch Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning ",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_EchoMimic"
+            ],
+            "id": "EchoMimic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_EchoMimic",
+            "title": "ComfyUI_EchoMimic"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can call Chatglm's API in comfyUI to translate and describe pictures, and the API similar to OpenAI.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_ChatGLM_API"
+            ],
+            "id": "chatglm-api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_ChatGLM_API",
+            "title": "ComfyUI_ChatGLM_API"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can use stable-audio-open-1.0 in comfyUI",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_StableAudio_Open"
+            ],
+            "id": "stable-audio-open-1.0",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_StableAudio_Open",
+            "title": "ComfyUI_StableAudio_Open"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can use anydoor, change clothes or object...",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_AnyDoor"
+            ],
+            "id": "ComfyUI_AnyDoor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_AnyDoor",
+            "title": "ComfyUI_AnyDoor"
+        },
+        {
+            "author": "smthemex",
+            "description": "A HiDiffusion node for ComfyUI.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_HiDiffusion_Pro"
+            ],
+            "id": "hidiffusion-pro",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_HiDiffusion_Pro",
+            "title": "ComfyUI_HiDiffusion_Pro"
+        },
+        {
+            "author": "smthemex",
+            "description": "A StoryDiffusion node for ComfyUI.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_StoryDiffusion"
+            ],
+            "id": "StoryDiffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_StoryDiffusion",
+            "title": "ComfyUI_StoryDiffusion"
+        },
+        {
+            "author": "smthemex",
+            "description": "you can make story in comfyUI using MS-diffusion",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_MS_Diffusion"
+            ],
+            "id": "MS_Diffusion",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_MS_Diffusion",
+            "title": "ComfyUI_MS_Diffusion"
+        },
+        {
+            "author": "smthemex",
+            "description": "you can using pic2story in comfyUI",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Pic2Story"
+            ],
+            "id": "pic2story",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Pic2Story",
+            "title": "ComfyUI_Pic2Story"
+        },
+        {
+            "author": "smthemex",
+            "description": "Llama3_8B for comfyUI\uff0c using pipeline workflow.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Llama3_8B"
+            ],
+            "id": "llama3-8b",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Llama3_8B",
+            "title": "ComfyUI_Llama3_8B"
+        },
+        {
+            "author": "smthemex",
+            "description": "Parler-TTS is a lightweight text-to-speech (TTS) model that can generate high-quality, natural sounding speech in the style of a given speaker (gender, pitch, speaking style, etc)",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_ParlerTTS"
+            ],
+            "id": "parlertts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_ParlerTTS",
+            "title": "ComfyUI_ParlerTTS"
+        },
+        {
+            "author": "smthemex",
+            "description": "A tool for novice users in Chinese Mainland to call the huggingface hub and download the huggingface models.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Pipeline_Tool"
+            ],
+            "id": "pipeline-tool",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Pipeline_Tool",
+            "title": "ComfyUI_Pipeline_Tool"
+        },
+        {
+            "author": "smthemex",
+            "description": "This node allows you to use ID_Animator, the zero shot video generation model",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_ID_Animator"
+            ],
+            "id": "id-animator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_ID_Animator",
+            "title": "ComfyUI_ID_Animator"
+        },
+        {
+            "author": "smthemex",
+            "description": "you can using customnet in comfyUI",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_CustomNet"
+            ],
+            "id": "customnet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_CustomNet",
+            "title": "ComfyUI_CustomNet"
+        },
+        {
+            "author": "smthemex",
+            "description": "You can use [a/Popspaper](https://popspaper.github.io/pOps/) method in comfyUI",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Pops"
+            ],
+            "id": "pops",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Pops",
+            "title": "ComfyUI_Pops"
+        },
+        {
+            "author": "smthemex",
+            "description": "using [a/StreamV2V](https://github.com/Jeff-LiangF/streamv2v) in ComfyUI",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Streamv2v_Plus"
+            ],
+            "id": "streamv2v",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_Streamv2v_Plus",
+            "title": "ComfyUI_Streamv2v_Plus"
+        },
+        {
+            "author": "smthemex",
+            "description": "MooER is an LLM-based Speech Recognition and Translation Model from Moore Threads.You can use MooER when install ComfyUI_MooER node",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_MooER"
+            ],
+            "id": "comfyui_mooer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_MooER",
+            "title": "ComfyUI_MooER"
+        },
+        {
+            "author": "smthemex",
+            "description": "using InstantX's CSGO in comfyUI for style",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_CSGO_Wrapper"
+            ],
+            "id": "comfyui_csgo_wrapper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_CSGO_Wrapper",
+            "title": "ComfyUI_CSGO_Wrapper"
+        },
+        {
+            "author": "smthemex",
+            "description": "ou can using DeepFakeDefenders in comfyUI to Prediction image is a DeepFake img or not.",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_DeepFakeDefenders"
+            ],
+            "id": "comfyui_deepfakedefenders",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smthemex/ComfyUI_DeepFakeDefenders",
+            "title": "ComfyUI_DeepFakeDefenders"
+        },
+        {
+            "author": "choey",
+            "description": "Comfy-Topaz is a custom node for ComfyUI, which integrates with Topaz Photo AI to enhance (upscale, sharpen, denoise, etc.) images, allowing this traditionally asynchronous step to become a part of ComfyUI workflows.\nNOTE:Licensed installation of Topaz Photo AI",
+            "files": [
+                "https://github.com/choey/Comfy-Topaz"
+            ],
+            "id": "topaz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/choey/Comfy-Topaz",
+            "title": "Comfy-Topaz"
+        },
+        {
+            "author": "ALatentPlace",
+            "description": "Yet Another Node Collection. Adds some useful nodes, check out the GitHub page for more details.",
+            "files": [
+                "https://github.com/ALatentPlace/ComfyUI_yanc"
+            ],
+            "id": "yanc-alatentplace",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ALatentPlace/ComfyUI_yanc",
+            "title": "ComfyUI_yanc"
+        },
+        {
+            "author": "Wicloz",
+            "description": "Simple nodes to help clean up your workflow, mostly focussed on text operations.",
+            "files": [
+                "https://github.com/Wicloz/ComfyUI-Simply-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Wicloz/ComfyUI-Simply-Nodes",
+            "title": "ComfyUI Simply Nodes"
+        },
+        {
+            "author": "wandbrandon",
+            "description": "pixel art workshop nodes for comfyui.",
+            "files": [
+                "https://github.com/wandbrandon/comfyui-pixel"
+            ],
+            "id": "pixel",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wandbrandon/comfyui-pixel",
+            "title": "comfyui-pixel"
+        },
+        {
+            "author": "nullquant",
+            "description": "These are custom nodes for ComfyUI native implementation of [a/BrushNet](https://arxiv.org/abs/2403.06976) (inpaint), PowerPaint (inpaint, object removal) and HiDiffusion (higher resolution for SD15 and SDXL)",
+            "files": [
+                "https://github.com/nullquant/ComfyUI-BrushNet"
+            ],
+            "id": "brushnet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nullquant/ComfyUI-BrushNet",
+            "title": "BrushNet"
+        },
+        {
+            "author": "pamparamm",
+            "description": "Perturbed-Attention Guidance with advanced parameters for ComfyUI. (PAG)",
+            "files": [
+                "https://github.com/pamparamm/sd-perturbed-attention"
+            ],
+            "id": "pag",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pamparamm/sd-perturbed-attention",
+            "title": "Perturbed-Attention Guidance"
+        },
+        {
+            "author": "pamparamm",
+            "description": "ComfyUI port of Vectorscope CC and Diffusion Color Grading by Haoming02. Makes it possible to adjust Brightness/Contrast/Saturation/Hue during image generation.",
+            "files": [
+                "https://github.com/pamparamm/ComfyUI-vectorscope-cc"
+            ],
+            "id": "vectorscope",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pamparamm/ComfyUI-vectorscope-cc",
+            "title": "ComfyUI Vectorscope CC"
+        },
+        {
+            "author": "pamparamm",
+            "description": "Fixed AttentionCouple/NegPip(negative weights in prompts), more CFG++ samplers, etc.",
+            "files": [
+                "https://github.com/pamparamm/ComfyUI-ppm"
+            ],
+            "id": "comfyui-ppm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pamparamm/ComfyUI-ppm",
+            "title": "ComfyUI-ppm"
+        },
+        {
+            "author": "unwdef",
+            "description": "Custom nodes for ComfyUI by unwdef.",
+            "files": [
+                "https://github.com/unwdef/unwdef-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/unwdef/unwdef-nodes-comfyui",
+            "title": "unwdef-nodes"
+        },
+        {
+            "author": "fevre27",
+            "description": "Unofficial ComfyUI implementation of Self-Guidance.",
+            "files": [
+                "https://github.com/forever22777/comfyui-self-guidance"
+            ],
+            "id": "self-guidance",
+            "install_type": "git-clone",
+            "reference": "https://github.com/forever22777/comfyui-self-guidance",
+            "title": "Self-Guidance nodes"
+        },
+        {
+            "author": "aburahamu",
+            "description": "This extension can send HTTP Requests. You can request image generation to StableDiffusion3 and post images to X (Twitter) and Discord.",
+            "files": [
+                "https://github.com/aburahamu/ComfyUI-RequestsPoster"
+            ],
+            "id": "request-poster",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aburahamu/ComfyUI-RequestsPoster",
+            "title": "ComfyUI-RequestPoster"
+        },
+        {
+            "author": "aburahamu",
+            "description": "This custom node detects body parts (currently only hands) from the received image and outputs the image if the skeleton can be estimated.",
+            "files": [
+                "https://github.com/aburahamu/ComfyUI-IsNiceParts"
+            ],
+            "id": "isniceparts",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aburahamu/ComfyUI-IsNiceParts",
+            "title": "ComfyUI-IsNiceParts"
+        },
+        {
+            "author": "Sorcerio",
+            "description": "An image generation based music visualizer integrated into comfyanonymous/ComfyUI as custom nodes.",
+            "files": [
+                "https://github.com/Sorcerio/MBM-Music-Visualizer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Sorcerio/MBM-Music-Visualizer",
+            "title": "MBM's Music Visualizer"
+        },
+        {
+            "author": "quadmoon",
+            "description": "These are just some nodes I wanted and couldn't find where anyone else had made them yet.",
+            "files": [
+                "https://github.com/traugdor/ComfyUI-quadMoons-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/traugdor/ComfyUI-quadMoons-nodes",
+            "title": "quadmoon's ComfyUI nodes"
+        },
+        {
+            "author": "quadme7macoon",
+            "description": "Nodes:Shadertoy, Shader, ColorChannelOffset.",
+            "files": [
+                "https://github.com/e7mac/ComfyUI-ShadertoyGL"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/e7mac/ComfyUI-ShadertoyGL",
+            "title": "ComfyUI-ShadertoyGL"
+        },
+        {
+            "author": "royceschultz",
+            "description": "Transcribe audio and video files in ComfyUI.",
+            "files": [
+                "https://github.com/royceschultz/ComfyUI-TranscriptionTools"
+            ],
+            "id": "transcription-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/royceschultz/ComfyUI-TranscriptionTools",
+            "title": "ComfyUI-TranscriptionTools"
+        },
+        {
+            "author": "kunieone",
+            "description": "Nodes:A_Face3DSwapper, A_FaceCrop, A_FacePaste, A_OpenPosePreprocessor, A_EmptyLatentImageLongside, A_GetImageSize, AlkaidLoader, AdapterFaceLoader, AdapterStyleLoader, ...",
+            "files": [
+                "https://github.com/kunieone/ComfyUI_alkaid"
+            ],
+            "id": "alkadi",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kunieone/ComfyUI_alkaid",
+            "title": "ComfyUI_alkaid"
+        },
+        {
+            "author": "txt2any",
+            "description": "This is a custom node for ComfyUI that automatically saves your AI-generated images specifically to [a/www.txt2any.com](http://www.txt2any.com/).",
+            "files": [
+                "https://github.com/txt2any/ComfyUI-PromptOrganizer"
+            ],
+            "id": "prompt-organizer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/txt2any/ComfyUI-PromptOrganizer",
+            "title": "ComfyUI-PromptOrganizer"
+        },
+        {
+            "author": "kealiu",
+            "description": "Nodes:Load From S3, Save To S3.",
+            "files": [
+                "https://github.com/kealiu/ComfyUI-S3-Tools"
+            ],
+            "id": "savefile-to-s3",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kealiu/ComfyUI-S3-Tools",
+            "title": "ComfyUI Load and Save file to S3"
+        },
+        {
+            "author": "kealiu",
+            "description": "An unofficial ComfyUI custom node for [a/Zero-Shot Material Transfer from a Single Image](https://ttchengab.github.io/zest), Given an input image (e.g., a photo of an apple) and a single material exemplar image (e.g., a golden bowl), ZeST can transfer the gold material from the exemplar onto the apple with accurate lighting cues while making everything else consistent.",
+            "files": [
+                "https://github.com/kealiu/ComfyUI-ZeroShot-MTrans"
+            ],
+            "id": "zeroshot-mtrans",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kealiu/ComfyUI-ZeroShot-MTrans",
+            "title": "ComfyUI-ZeroShot-MTrans"
+        },
+        {
+            "author": "kealiu",
+            "description": "Zero-1-to-3: Zero-shot One Image to 3D Object, unofficial porting of original [Zero123](https://github.com/cvlab-columbia/zero123)",
+            "files": [
+                "https://github.com/kealiu/ComfyUI-Zero123-Porting"
+            ],
+            "id": "zero123-porting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kealiu/ComfyUI-Zero123-Porting",
+            "title": "ComfyUI-Zero123-Porting"
+        },
+        {
+            "author": "TashaSkyUp",
+            "description": "Nodes for interfacing with LiteLLM",
+            "files": [
+                "https://github.com/Hopping-Mad-Games/ComfyUI_LiteLLM"
+            ],
+            "id": "litellm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hopping-Mad-Games/ComfyUI_LiteLLM",
+            "title": "ComfyUI_LiteLLM"
+        },
+        {
+            "author": "AonekoSS",
+            "description": "Node: utils/Simple Counter\nThis node is a simple counter, when pressing 'Queue Prompt' resets the count.",
+            "files": [
+                "https://github.com/AonekoSS/ComfyUI-SimpleCounter"
+            ],
+            "id": "simplecounter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AonekoSS/ComfyUI-SimpleCounter",
+            "title": "ComfyUI-SimpleCounter"
+        },
+        {
+            "author": "AonekoSS",
+            "description": "Nodes: LoRA-Tuner. For using multiple LoRA easily.",
+            "files": [
+                "https://github.com/AonekoSS/ComfyUI-LoRA-Tuner"
+            ],
+            "id": "lora-tuner",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AonekoSS/ComfyUI-LoRA-Tuner",
+            "title": "ComfyUI-LoRA-Tuner"
+        },
+        {
+            "author": "heshengtao",
+            "description": "A set of block-based LLM agent node libraries designed for ComfyUI.This project aims to develop a complete set of nodes for LLM workflow construction based on comfyui. It allows users to quickly and conveniently build their own LLM workflows and easily integrate them into their existing SD workflows.",
+            "files": [
+                "https://github.com/heshengtao/comfyui_LLM_party"
+            ],
+            "id": "llm-party",
+            "install_type": "git-clone",
+            "reference": "https://github.com/heshengtao/comfyui_LLM_party",
+            "title": "comfyui_LLM_party"
+        },
+        {
+            "author": "heshengtao",
+            "description": "ComfyUI node library for fine-tuning LLMs",
+            "files": [
+                "https://github.com/heshengtao/comfyui_LLM_schools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/heshengtao/comfyui_LLM_schools",
+            "title": "comfyui_LLM_schools"
+        },
+        {
+            "author": "VAST-AI-Research",
+            "description": "Custom nodes for using [a/Tripo](https://www.tripo3d.ai/) in ComfyUI to create 3D from text and image prompts.",
+            "files": [
+                "https://github.com/VAST-AI-Research/ComfyUI-Tripo"
+            ],
+            "id": "tripo",
+            "install_type": "git-clone",
+            "reference": "https://github.com/VAST-AI-Research/ComfyUI-Tripo",
+            "title": "Tripo for ComfyUI"
+        },
+        {
+            "author": "JettHu",
+            "description": "ComfyUI reference implementation for [a/T-GATE](https://github.com/HaozheLiu-ST/T-GATE).",
+            "files": [
+                "https://github.com/JettHu/ComfyUI_TGate"
+            ],
+            "id": "tgate",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JettHu/ComfyUI_TGate",
+            "title": "ComfyUI_TGate"
+        },
+        {
+            "author": "JettHu",
+            "description": "ComfyUI implementation for [a/TCD](https://github.com/jabir-zheng/TCD).",
+            "files": [
+                "https://github.com/JettHu/ComfyUI-TCD"
+            ],
+            "id": "jetthu-tcd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JettHu/ComfyUI-TCD",
+            "title": "ComfyUI-TCD"
+        },
+        {
+            "author": "sugarkwork",
+            "description": "This is a custom node of ComfyUI that categorizes tags outputted by tools like WD14Tagger, filters them by each category, and returns the filtered results.",
+            "files": [
+                "https://github.com/sugarkwork/comfyui_tag_fillter"
+            ],
+            "id": "tag-filter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/sugarkwork/comfyui_tag_fillter",
+            "title": "comfyui_tag_filter"
+        },
+        {
+            "author": "Intersection98",
+            "description": "A collection of post processing nodes for ComfyUI, dds image post-processing adjustment capabilities to the ComfyUI.",
+            "files": [
+                "https://github.com/Intersection98/ComfyUI_MX_post_processing-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Intersection98/ComfyUI_MX_post_processing-nodes",
+            "title": "ComfyUI-MX-post-processing-nodes"
+        },
+        {
+            "author": "TencentQQGYLab",
+            "description": "ComfyUI implementation for [a/ELLA](https://github.com/TencentQQGYLab/ELLA).",
+            "files": [
+                "https://github.com/TencentQQGYLab/ComfyUI-ELLA"
+            ],
+            "id": "ella",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TencentQQGYLab/ComfyUI-ELLA",
+            "title": "ComfyUI-ELLA"
+        },
+        {
+            "author": "DarKDinDoN",
+            "description": "This node was designed to help with checkpoint configuration. Fee free to add new checkpoint configurations!",
+            "files": [
+                "https://github.com/mech-tools/comfyui-checkpoint-automatic-config"
+            ],
+            "id": "checkpoint-autoconfig",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mech-tools/comfyui-checkpoint-automatic-config",
+            "title": "ComfyUI Checkpoint Automatic Config"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Use llama.cpp to help generate some nodes for prompt word related work",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-Prompt-MZ"
+            ],
+            "id": "prompt-mz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-Prompt-MZ",
+            "title": "ComfyUI-Prompt-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "A stylized node with simple operation. The effect is achieved by I2I and lora. The clay style is currently implemented.Comes with watermark function.",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-StylizePhoto-MZ"
+            ],
+            "id": "stylizephoto",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-StylizePhoto-MZ",
+            "title": "ComfyUI-StylizePhoto-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Nodes for fine-tuning lora in ComfyUI, dependent on training tools such as kohya-ss/sd-scripts",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-TrainTools-MZ"
+            ],
+            "id": "traintools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-TrainTools-MZ",
+            "title": "ComfyUI-TrainTools-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Implementation of Kolors on ComfyUI\nReference from [a/https://github.com/kijai/ComfyUI-KwaiKolorsWrapper](https://github.com/kijai/ComfyUI-KwaiKolorsWrapper)\nUsing ComfyUI Native Sampling",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ"
+            ],
+            "id": "kolors-mz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ",
+            "title": "ComfyUI-Kolors-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Quantization tools are from [a/https://github.com/casper-hansen/AutoAWQ](https://github.com/casper-hansen/AutoAWQ) and [a/https://github.com/IST-DASLab/marlin](https://github.com/IST-DASLab/marlin)\nOnly applicable to graphics cards with sm_80 and above (30 series and above)\nNeed to install marlin dependencies first",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-Flux1Quantize-MZ"
+            ],
+            "install_type": "git-clone",
+            "pip": [
+                "git+https://github.com/IST-DASLab/marlin"
+            ],
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-Flux1Quantize-MZ",
+            "title": "ComfyUI-Flux1Quantize-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Nodes:MZ_Flux1PartialLoad_Patch. Tool nodes related to flux1",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-FluxExt-MZ"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-FluxExt-MZ",
+            "title": "ComfyUI-FluxExt-MZ"
+        },
+        {
+            "author": "MinusZoneAI",
+            "description": "Nodes:MZ_CogVideoXLoader",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-CogVideoX-MZ"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-CogVideoX-MZ",
+            "title": "ComfyUI-CogVideoX-MZ"
+        },
+        {
+            "author": "blueraincoatli",
+            "description": "Using rgthree's fast_group_muter and bookmark nodes, introduce the pyautogui library to simulate clicks and hotkeys, and run groups in sequence. screen manipulation is involved",
+            "files": [
+                "https://github.com/blueraincoatli/comfyUI_SillyNodes"
+            ],
+            "id": "silly",
+            "install_type": "git-clone",
+            "reference": "https://github.com/blueraincoatli/comfyUI_SillyNodes",
+            "title": "comfyUI_SillyNodes"
+        },
+        {
+            "author": "ty0x2333",
+            "description": "Execution Time Analysis, Reroute Enhancement, Node collection for developers.",
+            "files": [
+                "https://github.com/ty0x2333/ComfyUI-Dev-Utils"
+            ],
+            "id": "dev-utils",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ty0x2333/ComfyUI-Dev-Utils",
+            "title": "ComfyUI-Dev-Utils"
+        },
+        {
+            "author": "lquesada",
+            "description": "'\ud83d\udd22 Prompt Combinator' is a node that generates all possible combinations of prompts from several lists of strings.\n'\ud83d\udd22 Prompt Combinator Merger' is a node that enables merging the output of two different '\ud83d\udd22 Prompt Combinator' nodes.",
+            "files": [
+                "https://github.com/lquesada/ComfyUI-Prompt-Combinator"
+            ],
+            "id": "prompt-combinator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lquesada/ComfyUI-Prompt-Combinator",
+            "title": "ComfyUI-Prompt-Combinator"
+        },
+        {
+            "author": "lquesada",
+            "description": "'\u2702\ufe0f Inpaint Crop' is a node that crops an image before sampling. The context area can be specified via the mask, expand pixels and expand factor or via a separate (optional) mask.\n'\u2702\ufe0f Inpaint Stitch' is a node that stitches the inpainted image back into the original image without altering unmasked areas.",
+            "files": [
+                "https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch"
+            ],
+            "id": "crop-and-stitch",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch",
+            "title": "ComfyUI-Inpaint-CropAndStitch"
+        },
+        {
+            "author": "randjtw",
+            "description": "Nodes:Advance Aesthetic Score",
+            "files": [
+                "https://github.com/randjtw/advance-aesthetic-score"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/randjtw/advance-aesthetic-score",
+            "title": "advance-aesthetic-score"
+        },
+        {
+            "author": "FredBill1",
+            "description": "Nodes:FBStringJoin, FBStringSplit, FBMultilineStringList, FBMultilineString",
+            "files": [
+                "https://github.com/FredBill1/comfyui-fb-utils"
+            ],
+            "id": "fb-utils",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FredBill1/comfyui-fb-utils",
+            "title": "comfyui-fb-utils"
+        },
+        {
+            "author": "jeffy5",
+            "description": "A facefusion custom node for ComfyUI. Swap or restore faces for image or video",
+            "files": [
+                "https://github.com/jeffy5/comfyui-faceless-node"
+            ],
+            "id": "faceless",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jeffy5/comfyui-faceless-node",
+            "title": "Faceless Node for ComfyUI"
+        },
+        {
+            "author": "TaiTair",
+            "description": "A hacky implementation of Simswap based on [a/Comfyui ReActor Node 0.5.1](https://github.com/Gourieff/comfyui-reactor-node) and [a/Simswap](https://github.com/neuralchen/SimSwap).",
+            "files": [
+                "https://github.com/TaiTair/comfyui-simswap"
+            ],
+            "id": "simswap",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TaiTair/comfyui-simswap",
+            "title": "Simswap Node for ComfyUI"
+        },
+        {
+            "author": "fofr",
+            "description": "Original author is ByteDance.\nComfyUI sampler for HyperSDXL UNet\nPorted from: [a/https://huggingface.co/ByteDance/Hyper-SD](https://huggingface.co/ByteDance/Hyper-SD)",
+            "files": [
+                "https://github.com/fofr/ComfyUI-HyperSDXL1StepUnetScheduler"
+            ],
+            "id": "hypersdxl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fofr/ComfyUI-HyperSDXL1StepUnetScheduler",
+            "title": "ComfyUI-HyperSDXL1StepUnetScheduler (ByteDance)"
+        },
+        {
+            "author": "fofr",
+            "description": "A prompt helper for ComfyUI, based on [a/prompter.fofr.ai](https://prompter.fofr.ai)",
+            "files": [
+                "https://github.com/fofr/ComfyUI-Prompter-fofrAI"
+            ],
+            "id": "prompter-fofr",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fofr/ComfyUI-Prompter-fofrAI",
+            "title": "ComfyUI-Prompter-fofrAI"
+        },
+        {
+            "author": "fofr",
+            "description": "Nodes:Incrementer, Width and height from aspect ratio, Width and height for scaling image to ideal resolutio. A simple set of tooling nodes.",
+            "files": [
+                "https://github.com/fofr/comfyui-fofr-toolkit"
+            ],
+            "id": "fofr-toolkit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fofr/comfyui-fofr-toolkit",
+            "title": "comfyui-fofr-toolkit"
+        },
+        {
+            "author": "fofr",
+            "description": "Run [a/Replicate models](https://replicate.com/explore) in ComfyUI.",
+            "files": [
+                "https://github.com/fofr/comfyui-replicate"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/fofr/comfyui-replicate",
+            "title": "comfyui-replicate"
+        },
+        {
+            "author": "cfreilich",
+            "description": "Photoshop type functions and adjustment layers: 30 blend modes, Selective Color, Blend If, Color Balance, Solid Color Images, Black and White, Hue/Saturation, Levels, and RGB Splitting and Merging.",
+            "files": [
+                "https://github.com/chrisfreilich/virtuoso-nodes"
+            ],
+            "id": "virtuoso",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chrisfreilich/virtuoso-nodes",
+            "title": "Virtuoso Nodes for ComfyUI"
+        },
+        {
+            "author": "da2el-ai",
+            "description": "A handy custom node for using Refiner (switching to a different checkpoint midway) When you specify the end of the base checkpoint, you can extract refiner_start which is end + 1. The output is fixed as an INT, so it can be passed to the handy custom node, Anything Everywhere? Since it only outputs a numerical value, it can also be used for other purposes.",
+            "files": [
+                "https://github.com/da2el-ai/ComfyUI-d2-steps"
+            ],
+            "id": "d2steps",
+            "install_type": "git-clone",
+            "reference": "https://github.com/da2el-ai/ComfyUI-d2-steps",
+            "title": "D2 Steps"
+        },
+        {
+            "author": "da2el-ai",
+            "description": "This is a custom node that allows you to easily call up and set image size presets. Settings can be made by editing the included config.yaml. It is almost identical to Comfyroll Studio's CR AspectRatio. I created it because I wanted to easily edit the presets.",
+            "files": [
+                "https://github.com/da2el-ai/ComfyUI-d2-size-selector"
+            ],
+            "id": "size-selector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/da2el-ai/ComfyUI-d2-size-selector",
+            "title": "D2 Size Selector"
+        },
+        {
+            "author": "da2el-ai",
+            "description": "Send images generated by ComfyUI to Eagle image management software",
+            "files": [
+                "https://github.com/da2el-ai/ComfyUI-d2-send-eagle"
+            ],
+            "id": "d2-send-eagle",
+            "install_type": "git-clone",
+            "reference": "https://github.com/da2el-ai/ComfyUI-d2-send-eagle",
+            "title": "D2 Send Eagle"
+        },
+        {
+            "author": "nat-chan",
+            "description": "Transceiver is a python library that swiftly exchanges fundamental data structures, specifically numpy arrays, between processes, optimizing AI inference tasks that utilize ComfyUI.",
+            "files": [
+                "https://github.com/nat-chan/comfyui-transceiver"
+            ],
+            "id": "transceiver",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nat-chan/comfyui-transceiver",
+            "title": "ComfyUI-Transceiver\ud83d\udce1"
+        },
+        {
+            "author": "nat-chan",
+            "description": "workflow.json -> workflow_api.json",
+            "files": [
+                "https://github.com/nat-chan/ComfyUI-graphToPrompt"
+            ],
+            "id": "graph2prompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nat-chan/ComfyUI-graphToPrompt",
+            "title": "ComfyUI-graphToPrompt"
+        },
+        {
+            "author": "web3nomad",
+            "description": "Nodes: InvisibleWatermarkEncode",
+            "files": [
+                "https://github.com/web3nomad/ComfyUI_Invisible_Watermark"
+            ],
+            "id": "invisible-watermark",
+            "install_type": "git-clone",
+            "reference": "https://github.com/web3nomad/ComfyUI_Invisible_Watermark",
+            "title": "ComfyUI Invisible Watermark"
+        },
+        {
+            "author": "GentlemanHu",
+            "description": "An unofficial Python library for [a/Suno AI](https://www.suno.ai/) API",
+            "files": [
+                "https://github.com/GentlemanHu/ComfyUI-SunoAI"
+            ],
+            "id": "suno-api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GentlemanHu/ComfyUI-SunoAI",
+            "title": "ComfyUI Suno API"
+        },
+        {
+            "author": "TemryL",
+            "description": "ComfyUI adaptation of [a/IDM-VTON](https://github.com/yisol/IDM-VTON) for virtual try-on.",
+            "files": [
+                "https://github.com/TemryL/ComfyUI-IDM-VTON"
+            ],
+            "id": "idm-vton",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TemryL/ComfyUI-IDM-VTON",
+            "title": "ComfyUI-IDM-VTON [WIP]"
+        },
+        {
+            "author": "NStor",
+            "description": "Russian localization of ComfyUI, ComafyUI-Manager & more...",
+            "files": [
+                "https://github.com/Nestorchik/NStor-ComfyUI-Translation"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Nestorchik/NStor-ComfyUI-Translation",
+            "title": "ComfyUI-RUS localization"
+        },
+        {
+            "author": "jax-explorer",
+            "description": "Nodes:FastImageListToImageBatch",
+            "files": [
+                "https://github.com/jax-explorer/fast_video_comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jax-explorer/fast_video_comfyui",
+            "title": "fast_video_comfyui"
+        },
+        {
+            "author": "sugarkwork",
+            "description": "This is a node for using cohere (Command R+) from ComfyUI. You need to edit the startup .bat file of ComfyUI and describe the API key obtained from Cohere as follows.",
+            "files": [
+                "https://github.com/sugarkwork/comfyui_cohere"
+            ],
+            "id": "cohere",
+            "install_type": "git-clone",
+            "reference": "https://github.com/sugarkwork/comfyui_cohere",
+            "title": "comfyui_cohere"
+        },
+        {
+            "author": "alessandrozonta",
+            "description": "This extension contains a custom node for ComfyUI. The node, called 'Bounding Box Crop', is designed to compute the top-left coordinates of a cropped bounding box based on input coordinates and dimensions of the final cropped image. It does so computing the center of the cropping area and then computing where the top-left coordinates would be.",
+            "files": [
+                "https://github.com/alessandrozonta/ComfyUI-CenterNode"
+            ],
+            "id": "bbox-crop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alessandrozonta/ComfyUI-CenterNode",
+            "title": "Bounding Box Crop Node for ComfyUI"
+        },
+        {
+            "author": "alessandrozonta",
+            "description": "This custom node for ComfyUI allows you to create layers of an image based on input masks and save them into a PSD file.",
+            "files": [
+                "https://github.com/alessandrozonta/ComfyUI-Layers"
+            ],
+            "id": "layers",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alessandrozonta/ComfyUI-Layers",
+            "title": "Save Layers Node for ComfyUI"
+        },
+        {
+            "author": "alessandrozonta",
+            "description": "This extension contains a custom node for ComfyUI. The node, called 'Bounding Box Crop', is designed to compute the top-left coordinates of a cropped bounding box based on input coordinates and dimensions of the final cropped image. It does so computing the center of the cropping area and then computing where the top-left coordinates would be.",
+            "files": [
+                "https://github.com/alessandrozonta/ComfyUI-OpenPose"
+            ],
+            "id": "openpose-alessandrozonta",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alessandrozonta/ComfyUI-OpenPose",
+            "title": "OpenPose Node"
+        },
+        {
+            "author": "curiousjp",
+            "description": "Permutes a mask batch to present possible additive combinations. Passing a mask batch (e.g. out of [a/SEGS to Mask Batch](https://github.com/ltdrdata/ComfyUI-Impact-Pack)) will return a new mask batch representing all the possible combinations of the included masks. So, a mask batch with two mask sections, 'A' and 'B', will return a batch containing an empty mask, an empty mask & A, an empty mask & B, and an empty mask & A & B.",
+            "files": [
+                "https://github.com/curiousjp/ComfyUI-MaskBatchPermutations"
+            ],
+            "id": "maskbatch-permutations",
+            "install_type": "git-clone",
+            "reference": "https://github.com/curiousjp/ComfyUI-MaskBatchPermutations",
+            "title": "ComfyUI-MaskBatchPermutations"
+        },
+        {
+            "author": "BAIS1C",
+            "description": "A Simple Python RSS Feed Reader to create Prompts in Comfy UI",
+            "files": [
+                "https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader"
+            ],
+            "id": "rssfeed",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader",
+            "title": "ComfyUI_RSS_Feed_Reader"
+        },
+        {
+            "author": "runtime44",
+            "description": "Nodes: Runtime44Upscaler, Runtime44ColorMatch, Runtime44DynamicKSampler, Runtime44ImageOverlay, Runtime44ImageResizer, Runtime44ImageToNoise, Runtime44MaskSampler, Runtime44TiledMaskSampler, Runtime44IterativeUpscaleFactor, Runtime44ImageEnhance, Runtime44FilmGrain",
+            "files": [
+                "https://github.com/runtime44/comfyui_r44_nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/runtime44/comfyui_r44_nodes",
+            "title": "Runtime44 ComfyUI Nodes"
+        },
+        {
+            "author": "osiworx",
+            "description": "Nodes:Use Prompt Quill in Comfyui",
+            "files": [
+                "https://github.com/osi1880vr/prompt_quill_comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/osi1880vr/prompt_quill_comfyui",
+            "title": "ComfyUI_Prompt-Quill"
+        },
+        {
+            "author": "philz1337x",
+            "description": "[a/Clarity AI](https://clarityai.cc) is a creative image enhancer and is able to upscale to high resolution. [w/NOTE: This is a Magnific AI alternative for ComfyUI.] \nCreate an API key on [a/ClarityAI.cc/api](https://clarityai.cc/api) and add to environment variable 'CAI_API_KEY'\nAlternatively you can write your API key to file 'cai_platform_key.txt'\nYou can also use and/or override the above by entering your API key in the 'api_key_override' field of the node.",
+            "files": [
+                "https://github.com/philz1337x/ComfyUI-ClarityAI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/philz1337x/ComfyUI-ClarityAI",
+            "title": "\u2728 Clarity AI - Creative Image Upscaler and Enhancer for ComfyUI"
+        },
+        {
+            "author": "KoreTeknology",
+            "description": "A research Node based project on Artificial Intelligence using ComfyUI visual editor with Stable diffusion Local processing focus in mind. This custom node is intended to serve the purpose to offer a large palette of prompting scenrarios, based on Public Checkpoint Models OR/AND Private custom Models and LoRas. It includes an integrated learning machine process as well as a set of workflows.",
+            "files": [
+                "https://github.com/KoreTeknology/ComfyUI-Universal-Styler"
+            ],
+            "id": "universal-styler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/KoreTeknology/ComfyUI-Universal-Styler",
+            "title": "ComfyUI Universal Styler"
+        },
+        {
+            "author": "ZeDarkAdam",
+            "description": "EmbeddingsNameLoader, EmbendingList",
+            "files": [
+                "https://github.com/ZeDarkAdam/ComfyUI-Embeddings-Tools"
+            ],
+            "id": "embeddings-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZeDarkAdam/ComfyUI-Embeddings-Tools",
+            "title": "ComfyUI-Embeddings-Tools"
+        },
+        {
+            "author": "chenpx976",
+            "description": "add http api http://127.0.0.1:8188/comfyui-run/run use in other llm project.",
+            "files": [
+                "https://github.com/chenpx976/ComfyUI-RunRunRun"
+            ],
+            "id": "runrunrun",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chenpx976/ComfyUI-RunRunRun",
+            "title": "ComfyUI-RunRunRun"
+        },
+        {
+            "author": "githubYiheng",
+            "description": "GetFileNameFromURL is a ComfyUI custom node that extracts the filename from a URL. It can handle various URLs and is capable of handling redirects.",
+            "files": [
+                "https://github.com/githubYiheng/ComfyUI_GetFileNameFromURL"
+            ],
+            "id": "getfilename-from-url",
+            "install_type": "git-clone",
+            "reference": "https://github.com/githubYiheng/ComfyUI_GetFileNameFromURL",
+            "title": "ComfyUI_GetFileNameFromURL"
+        },
+        {
+            "author": "githubYiheng",
+            "description": "Nodes:Apply Kmeans Filter",
+            "files": [
+                "https://github.com/githubYiheng/comfyui_kmeans_filter"
+            ],
+            "id": "kmeans-filter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/githubYiheng/comfyui_kmeans_filter",
+            "title": "comfyui_kmeans_filter"
+        },
+        {
+            "author": "githubYiheng",
+            "description": "Nodes:Change Image Border",
+            "files": [
+                "https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER"
+            ],
+            "id": "change-image-border",
+            "install_type": "git-clone",
+            "reference": "https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER",
+            "title": "ComfyUI_Change_IMAGE_BOREDER"
+        },
+        {
+            "author": "githubYiheng",
+            "description": "Nodes:Apply Meanshift Filter",
+            "files": [
+                "https://github.com/githubYiheng/comfyui_meanshift_filter"
+            ],
+            "id": "meanshift-filter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/githubYiheng/comfyui_meanshift_filter",
+            "title": "comfyui_meanshift_filter"
+        },
+        {
+            "author": "githubYiheng",
+            "description": "Nodes:Private ImageCPostprocessor",
+            "files": [
+                "https://github.com/githubYiheng/comfyui_private_postprocessor"
+            ],
+            "id": "githubyiheng-private-postprocessor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/githubYiheng/comfyui_private_postprocessor",
+            "title": "comfyui_private_postprocessor"
+        },
+        {
+            "author": "Fihade",
+            "description": "Original repo: [a/https://github.com/lllyasviel/IC-Light](https://github.com/lllyasviel/IC-Light)\nModels: [a/https://huggingface.co/lllyasviel/ic-light/tree/main](https://huggingface.co/lllyasviel/ic-light/tree/main), [a/https://huggingface.co/digiplay/Photon_v1/tree/main](https://huggingface.co/digiplay/Photon_v1/tree/main)\nmodels go into ComfyUI/models/unet",
+            "files": [
+                "https://github.com/Fihade/IC-Light-ComfyUI-Node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fihade/IC-Light-ComfyUI-Node",
+            "title": "IC-Light-ComfyUI-Node"
+        },
+        {
+            "author": "KewkLW",
+            "description": "text_append_node, vramdebugplus, tensordebugplus, animation_schedule_output",
+            "files": [
+                "https://github.com/KewkLW/ComfyUI-kewky_tools"
+            ],
+            "id": "kewky-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/KewkLW/ComfyUI-kewky_tools",
+            "title": "ComfyUI-kewky_tools"
+        },
+        {
+            "author": "ITurchenko",
+            "description": "Nodes:SizeFromArray",
+            "files": [
+                "https://github.com/ITurchenko/ComfyUI-SizeFromArray"
+            ],
+            "id": "sizefromarray",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ITurchenko/ComfyUI-SizeFromArray",
+            "title": "ComfyUI-SizeFromArray"
+        },
+        {
+            "author": "Suplex",
+            "description": "Misc Nodes: ControlNet Selector Node, Load Optional ControlNet Model, Diffusers Selector, Save Image JPG No Meta, Multi Input Variable Rewrite",
+            "files": [
+                "https://github.com/saftle/suplex_comfy_nodes"
+            ],
+            "id": "suplex",
+            "install_type": "git-clone",
+            "reference": "https://github.com/saftle/suplex_comfy_nodes",
+            "title": "Suplex Misc ComfyUI Nodes"
+        },
+        {
+            "author": "mephisto83",
+            "description": "An integration between comfy ui and petty paint",
+            "files": [
+                "https://github.com/mephisto83/petty-paint-comfyui-node"
+            ],
+            "id": "petty-paint",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mephisto83/petty-paint-comfyui-node",
+            "title": "petty-paint-comfyui-node"
+        },
+        {
+            "author": "fsdymy1024",
+            "description": "Nodes:Save Image Without Metadata",
+            "files": [
+                "https://github.com/fsdymy1024/ComfyUI_fsdymy"
+            ],
+            "id": "fsdymy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fsdymy1024/ComfyUI_fsdymy",
+            "title": "ComfyUI_fsdymy"
+        },
+        {
+            "author": "ray",
+            "description": "Nodes:Image Gradient,Mask Gradient",
+            "files": [
+                "https://github.com/huagetai/ComfyUI_LightGradient"
+            ],
+            "id": "light-gradient",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huagetai/ComfyUI_LightGradient",
+            "title": "Light Gradient for ComfyUI"
+        },
+        {
+            "author": "ray",
+            "description": "Nodes:Load ICLight Model,Apply ICLight,Simple Light Source,Calculate Normal Map",
+            "files": [
+                "https://github.com/huagetai/ComfyUI-Gaffer"
+            ],
+            "id": "gaffer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/huagetai/ComfyUI-Gaffer",
+            "title": "comfyui's gaffer(ComfyUI native implementation of IC-Light. )"
+        },
+        {
+            "author": "YFG",
+            "description": "Image Historgram Generator - Outputs a set of images displaying the Histogram of the input image. Nodes: img2histograms, img2histogramsSelf",
+            "files": [
+                "https://github.com/gonzalu/ComfyUI_YFG_Comical"
+            ],
+            "id": "comical",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gonzalu/ComfyUI_YFG_Comical",
+            "title": "\ud83d\ude38 YFG Comical Nodes"
+        },
+        {
+            "author": "ruiqutech",
+            "description": "Nodes of EvaluateMultiple1, EvaluateMultiple3...\nSupport the execution of any fragment of Python code, generating multiple outputs from multiple inputs.",
+            "files": [
+                "https://github.com/ruiqutech/ComfyUI-RuiquNodes"
+            ],
+            "id": "RuiquNodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ruiqutech/ComfyUI-RuiquNodes",
+            "title": "RuiquNodes for ComfyUI"
+        },
+        {
+            "author": "teward",
+            "description": "Nodes: HelperNodes_MultilineStringLiteral, HelperNodes_StringLiteral, HelperNodes_Steps, HelperNodes_CfgScale, HelperNodes_WidthHeight, HelperNodes_SchedulerSelector, HelperNodes_SamplerSelector, ...",
+            "files": [
+                "https://github.com/teward/ComfyUI-Helper-Nodes"
+            ],
+            "id": "helper-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/teward/ComfyUI-Helper-Nodes",
+            "title": "ComfyUI-Helper-Nodes"
+        },
+        {
+            "author": "fmatray",
+            "description": "Nodes for ComfyUI in order to generate battelmaps",
+            "files": [
+                "https://github.com/fmatray/ComfyUI_BattlemapGrid"
+            ],
+            "id": "battlemap-grid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fmatray/ComfyUI_BattlemapGrid",
+            "title": "ComfyUI_BattlemapGrid"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Get general description or specify questions to ask about images (medium, art style, background, etc.). Supports Chinese \ud83c\udde8\ud83c\uddf3 questions via MiniCPM model.",
+            "files": [
+                "https://github.com/christian-byrne/img2txt-comfyui-nodes"
+            ],
+            "id": "img2txt-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/img2txt-comfyui-nodes",
+            "title": "img2txt-comfyui-nodes"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Extract the most common colors from an image, up to any number. Convert colors to plain English names using various color naming systems.",
+            "files": [
+                "https://github.com/christian-byrne/img2colors-comfyui-node"
+            ],
+            "id": "img2colors-comfyui-node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/img2colors-comfyui-node",
+            "title": "Img2color - Extract Colors from Image"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Match image/mask sizes",
+            "files": [
+                "https://github.com/christian-byrne/size-match-compositing-nodes"
+            ],
+            "id": "sizematcher",
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/size-match-compositing-nodes",
+            "title": "Node - Size Matcher"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Search navigation extension.",
+            "files": [
+                "https://github.com/christian-byrne/comfyui-search-navigation"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/comfyui-search-navigation",
+            "title": "comfyui-search-navigation"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Separate audio track into stems (vocals, bass, drums, other). Along with tools to recombine, tempo match, slice/crop audio.",
+            "files": [
+                "https://github.com/christian-byrne/audio-separation-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/audio-separation-nodes-comfyui",
+            "title": "audio-separation-nodes-comfyui"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "comfyui-default-values-manager",
+            "files": [
+                "https://github.com/christian-byrne/comfyui-default-values-manager"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/comfyui-default-values-manager",
+            "title": "comfyui-default-values-manager"
+        },
+        {
+            "author": "christian-byrne",
+            "description": "Download youtube videos/playlists",
+            "files": [
+                "https://github.com/christian-byrne/youtube-dl-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/christian-byrne/youtube-dl-comfyui",
+            "title": "youtube-dl-comfyui"
+        },
+        {
+            "author": "oztrkoguz",
+            "description": "Nodes:story_sampler_simple, text2, kosmos2_sampler.\nI created a dataset for generating short stories [a/Short-Story](https://huggingface.co/datasets/oztrkoguz/Short-Story) and used it to fine-tune my own model using Phi-3.",
+            "files": [
+                "https://github.com/oztrkoguz/ComfyUI_StoryCreator"
+            ],
+            "id": "storycreater",
+            "install_type": "git-clone",
+            "reference": "https://github.com/oztrkoguz/ComfyUI_StoryCreator",
+            "title": "ComfyUI StoryCreater"
+        },
+        {
+            "author": "GraftingRayman",
+            "description": "Image Manipulation Nodes",
+            "files": [
+                "https://github.com/GraftingRayman/ComfyUI_GraftingRayman"
+            ],
+            "id": "graftingrayman",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GraftingRayman/ComfyUI_GraftingRayman",
+            "title": "GraftingRayman"
+        },
+        {
+            "author": "royceschultz",
+            "description": "Send notifications when a workflow completes.",
+            "files": [
+                "https://github.com/royceschultz/ComfyUI-Notifications"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/royceschultz/ComfyUI-Notifications",
+            "title": "ComfyUI-Notifications"
+        },
+        {
+            "author": "katalist-ai",
+            "description": "Nodes: NudenetDetector",
+            "files": [
+                "https://github.com/katalist-ai/comfyUI-nsfw-detection"
+            ],
+            "id": "nsfw-detection",
+            "install_type": "git-clone",
+            "reference": "https://github.com/katalist-ai/comfyUI-nsfw-detection",
+            "title": "comfyUI-nsfw-detection"
+        },
+        {
+            "author": "kaanyalova",
+            "description": "Adds a custom node for saving images in webp, jpeg, avif, jxl (no metadata) and supports loading workflows from saved images",
+            "files": [
+                "https://github.com/kaanyalova/ComfyUI_ExtendedImageFormats"
+            ],
+            "id": "extended-image-format",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kaanyalova/ComfyUI_ExtendedImageFormats",
+            "title": "Extended Image Formats for ComfyUI"
+        },
+        {
+            "author": "badayvedat",
+            "description": "The ComfyUI-fal-Connector is a tool designed to provide an integration between ComfyUI and fal. This extension allows users to execute their ComfyUI workflows directly on [a/fal.ai](https://fal.ai/). This enables users to leverage the computational power and resources provided by fal.ai for running their ComfyUI workflows.",
+            "files": [
+                "https://github.com/badayvedat/ComfyUI-fal-Connector"
+            ],
+            "id": "fal",
+            "install_type": "git-clone",
+            "reference": "https://github.com/badayvedat/ComfyUI-fal-Connector",
+            "title": "ComfyUI-fal-Connector"
+        },
+        {
+            "author": "TheMistoAI",
+            "description": "A Fast, Accurate, and Detailed Line Detection Preprocessor.\nAnyline is a ControlNet line preprocessor that accurately extracts object edges, image details, and textual content from most images. Users can input any type of image to quickly obtain line drawings with clear edges, sufficient detail preservation, and high fidelity text, which are then used as input for conditional generation in Stable Diffusion.",
+            "files": [
+                "https://github.com/TheMistoAI/ComfyUI-Anyline"
+            ],
+            "id": "anyline",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TheMistoAI/ComfyUI-Anyline",
+            "title": "Anyline"
+        },
+        {
+            "author": "mbrostami",
+            "description": "Nodes:TextualInversionTrainingSDXL, TextualInversionTraining",
+            "files": [
+                "https://github.com/mbrostami/ComfyUI-TITrain"
+            ],
+            "id": "titrain",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mbrostami/ComfyUI-TITrain",
+            "title": "ComfyUI-TITrain"
+        },
+        {
+            "author": "ArcherFMY",
+            "description": "ComfyUI plugin of [a/SD-T2I-360PanoImage](https://github.com/ArcherFMY/SD-T2I-360PanoImage).\nbase t2i-pipeline for generating 512*1024 panorama image from text input",
+            "files": [
+                "https://github.com/ArcherFMY/Diffusion360_ComfyUI"
+            ],
+            "id": "diffusion360",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ArcherFMY/Diffusion360_ComfyUI",
+            "title": "Diffusion360_ComfyUI"
+        },
+        {
+            "author": "Makeezi",
+            "description": "connection nodes for api requests, fully supports promptLAB",
+            "files": [
+                "https://github.com/Makeezi/ComfyUI-promptLAB"
+            ],
+            "id": "promptlab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Makeezi/ComfyUI-promptLAB",
+            "title": "ComfyUI-promptLAB"
+        },
+        {
+            "author": "portu-sim",
+            "description": "BMAB for ComfyUI. BMAB is an custom nodes of ComfyUI and has the function of post-processing the generated image according to settings. If necessary, you can find and redraw people, faces, and hands, or perform functions such as resize, resample, and add noise. You can composite two images or perform the Upscale function.",
+            "files": [
+                "https://github.com/portu-sim/comfyui_bmab"
+            ],
+            "id": "bmab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/portu-sim/comfyui_bmab",
+            "title": "comfyui_bmab"
+        },
+        {
+            "author": "griptape-ai",
+            "description": "This repo creates a series of nodes that enable you to utilize the [a/Griptape Python Framework](https://github.com/griptape-ai/griptape/) with ComfyUI, integrating AI into your workflow. This repo creates a series of nodes that enable you to utilize the Griptape Python Framework with ComfyUI, integrating AI into your workflow.",
+            "files": [
+                "https://github.com/griptape-ai/ComfyUI-Griptape"
+            ],
+            "id": "griptape",
+            "install_type": "git-clone",
+            "reference": "https://github.com/griptape-ai/ComfyUI-Griptape",
+            "title": "ComfyUI Griptape Nodes"
+        },
+        {
+            "author": "cavinHuang",
+            "description": "This is a plugin for displaying documentation for each comfyui node. ",
+            "files": [
+                "https://github.com/CavinHuang/comfyui-nodes-docs"
+            ],
+            "id": "nodedocs",
+            "install_type": "git-clone",
+            "reference": "https://github.com/CavinHuang/comfyui-nodes-docs",
+            "title": "comfyui-nodes-docs"
+        },
+        {
+            "author": "icesun963",
+            "description": "Download the model from huggingface and put it in any directory.",
+            "files": [
+                "https://github.com/icesun963/ComfyUI_HFDownLoad"
+            ],
+            "id": "HFDownLoad-ic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/icesun963/ComfyUI_HFDownLoad",
+            "title": "HFDownLoad Node for ComfyUI"
+        },
+        {
+            "author": "conquestace",
+            "description": "Upload images automatically to image hosting sites.",
+            "files": [
+                "https://github.com/conquestace/ComfyUI-ImageUploader"
+            ],
+            "id": "image-uploader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/conquestace/ComfyUI-ImageUploader",
+            "title": "Image Uploader"
+        },
+        {
+            "author": "chandlergis",
+            "description": "Nodes:ImageRequestNode",
+            "files": [
+                "https://github.com/chandlergis/ComfyUI-IMG_Query"
+            ],
+            "id": "img-query",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chandlergis/ComfyUI-IMG_Query",
+            "title": "ComfyUI-IMG_Query"
+        },
+        {
+            "author": "Isaac Emesowum",
+            "description": "This extension offers automatic drums extraction from audio files, as well as a few helper nodes to support my audio synchronization AnimateDiff workflows.",
+            "files": [
+                "https://github.com/iemesowum/ComfyUI_IsaacNodes"
+            ],
+            "id": "isaac",
+            "install_type": "git-clone",
+            "reference": "https://github.com/iemesowum/ComfyUI_IsaacNodes",
+            "title": "Isaac's Nodes"
+        },
+        {
+            "author": "fexploit",
+            "description": "ComfyUI-AutoCropBgTrim is a powerful tool designed to automatically clean up the background of your images. This tool trims unnecessary spaces and pixels, leaving only the main subject of the image. It generates both a mask and an image output, making it easy to focus on the essential elements. Perfect for enhancing your photos and preparing them for professional use.",
+            "files": [
+                "https://github.com/fexploit/ComfyUI-AutoTrimBG"
+            ],
+            "id": "autotrimbg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fexploit/ComfyUI-AutoTrimBG",
+            "title": "ComfyUI-AutoTrimBG"
+        },
+        {
+            "author": "fexploit",
+            "description": "ComfyUI-AutoLabel is a custom node for ComfyUI that uses BLIP (Bootstrapping Language-Image Pre-training) to generate detailed descriptions of the main object in an image. This node leverages the power of BLIP to provide accurate and context-aware captions for images.",
+            "files": [
+                "https://github.com/fexploit/ComfyUI-AutoLabel"
+            ],
+            "id": "autolabel",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fexploit/ComfyUI-AutoLabel",
+            "title": "ComfyUI-AutoLabel"
+        },
+        {
+            "author": "fexploit",
+            "description": "ComfyUI-Classifier is a custom node for ComfyUI that uses a zero-shot classification model to classify text inputs based on a set of candidate labels. This node leverages the power of Hugging Face Transformers to provide accurate and flexible text classification.",
+            "files": [
+                "https://github.com/fexploit/ComfyUI-Classifier"
+            ],
+            "id": "classifier",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fexploit/ComfyUI-Classifier",
+            "title": "ComfyUI-Classifier"
+        },
+        {
+            "author": "linshier",
+            "description": "Node:SendBase64ToRemote. To connect to another ComfyUI server.",
+            "files": [
+                "https://github.com/linshier/comfyui-remote-tools"
+            ],
+            "id": "remote-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/linshier/comfyui-remote-tools",
+            "title": "comfyui-remote-tools"
+        },
+        {
+            "author": "Fantaxico",
+            "description": "Node:GCP Storage Node. Support google-cloud-storage.",
+            "files": [
+                "https://github.com/Fantaxico/ComfyUI-GCP-Storage"
+            ],
+            "id": "gcp-storage",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fantaxico/ComfyUI-GCP-Storage",
+            "title": "ComfyUI-GCP-Storage"
+        },
+        {
+            "author": "daniabib",
+            "description": "ComfyUI custom node implementation of [a/ProPainter](https://github.com/sczhou/ProPainter) framework for video inpainting.",
+            "files": [
+                "https://github.com/daniabib/ComfyUI_ProPainter_Nodes"
+            ],
+            "id": "propainter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/daniabib/ComfyUI_ProPainter_Nodes",
+            "title": "ComfyUI ProPainter Nodes"
+        },
+        {
+            "author": "iFREEGROUP",
+            "description": "Node:Load Checkerboard Images for Calibrate Camera, Matrix and distortion coefficient to text, Undistort",
+            "files": [
+                "https://github.com/iFREEGROUP/comfyui-undistort"
+            ],
+            "id": "undistort",
+            "install_type": "git-clone",
+            "reference": "https://github.com/iFREEGROUP/comfyui-undistort",
+            "title": "comfyui-undistort"
+        },
+        {
+            "author": "Auttasak-L",
+            "description": "Nodes:Image cropping tool",
+            "files": [
+                "https://github.com/Auttasak-L/ComfyUI-ImageCropper"
+            ],
+            "id": "imagecropper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Auttasak-L/ComfyUI-ImageCropper",
+            "title": "ComfyUI-ImageCropper"
+        },
+        {
+            "author": "muzi12888",
+            "description": "Convert PoseKeypoint to mask, please refer to the example workflow for usage instructions.",
+            "files": [
+                "https://github.com/muzi12888/ComfyUI-PoseKeypoint-Mask"
+            ],
+            "id": "posekeypoint-mask",
+            "install_type": "git-clone",
+            "reference": "https://github.com/muzi12888/ComfyUI-PoseKeypoint-Mask",
+            "title": "PoseKeypoint Mask"
+        },
+        {
+            "author": "muzi12888",
+            "description": "Nodes for modifying a prompt to create prompt variations.\nScramblePrompts [m9]: Reorder prompts, remove prompts, modify weights\nTweakWeights [m9]: Modify the weights of prompts matching keywords",
+            "files": [
+                "https://github.com/MarcusNyne/m9-prompts-comfyui"
+            ],
+            "id": "m9-prompts-comfyui",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MarcusNyne/m9-prompts-comfyui",
+            "title": "m9-prompts-comfyui"
+        },
+        {
+            "author": "xuhongming251",
+            "description": "Nodes:FaceEnhancement. Based on modelscope pipeline.",
+            "files": [
+                "https://github.com/xuhongming251/ComfyUI-GPEN"
+            ],
+            "id": "gpen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/xuhongming251/ComfyUI-GPEN",
+            "title": "ComfyUI-GPEN"
+        },
+        {
+            "author": "xuhongming251",
+            "description": "MuseTalk ComfyUI Preprocess and Postprocess Nodes",
+            "files": [
+                "https://github.com/xuhongming251/ComfyUI-MuseTalkUtils"
+            ],
+            "id": "musetalk-utils",
+            "install_type": "git-clone",
+            "reference": "https://github.com/xuhongming251/ComfyUI-MuseTalkUtils",
+            "title": "ComfyUI-MuseTalkUtils"
+        },
+        {
+            "author": "Thomas Ward",
+            "description": "A collection of custom nodes to help with saving images, providing generation parameters, static literal nodes, and other useful nodes.",
+            "files": [
+                "https://github.com/TW-CUI/TW-CUI-Util"
+            ],
+            "id": "tw-cui-util",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TW-CUI/TW-CUI-Util",
+            "title": "TW-CUI-Util"
+        },
+        {
+            "author": "lks-ai",
+            "description": "Nodes: AnyNode. Nodes that can be anything you ask. Auto-Generate functional nodes using LLMs. Create impossible workflows. API Compatibility: (OpenAI, LocalLLMs, Gemini).",
+            "files": [
+                "https://github.com/lks-ai/anynode"
+            ],
+            "id": "anynode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lks-ai/anynode",
+            "title": "ComfyUI AnyNode: Any Node you ask for"
+        },
+        {
+            "author": "lks-ai",
+            "description": "Nodes: StableAudioSampler. Wraps the new Stable Audio Open Model in the sampler that dropped Jun 5th. See Github for Features",
+            "files": [
+                "https://github.com/lks-ai/ComfyUI-StableAudioSampler"
+            ],
+            "id": "stableaudiosampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lks-ai/ComfyUI-StableAudioSampler",
+            "title": "ComfyUI Stable Audio Open 1.0 Sampler"
+        },
+        {
+            "author": "SayanoAI",
+            "description": "ComfyUI custom nodes for RVC related inference and image generation",
+            "files": [
+                "https://github.com/SayanoAI/Comfy-RVC"
+            ],
+            "id": "sayano-rvc",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SayanoAI/Comfy-RVC",
+            "title": "Comfy-RVC"
+        },
+        {
+            "author": "nirbhay-faaya",
+            "description": "Custom Image processing ComfyUI Nodes",
+            "files": [
+                "https://github.com/nirbhay-faaya/ImgProcessing_ComfyUI"
+            ],
+            "id": "imgprocessing",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nirbhay-faaya/ImgProcessing_ComfyUI",
+            "title": "ImgProcessing_ComfyUI"
+        },
+        {
+            "author": "larsupb",
+            "description": "An extension for merging LoRAs. Offers a wide range of LoRA merge techniques (including dare) and XY plots. XY plots require efficiency nodes.",
+            "files": [
+                "https://github.com/larsupb/LoRA-Merger-ComfyUI"
+            ],
+            "id": "lora-powermerger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/larsupb/LoRA-Merger-ComfyUI",
+            "title": "LoRA Power-Merger ComfyUI"
+        },
+        {
+            "author": "Mason-McGough",
+            "description": "Create colorful mosaic images in ComfyUI by computing label images and applying lookup tables.",
+            "files": [
+                "https://github.com/Mason-McGough/ComfyUI-Mosaica"
+            ],
+            "id": "mosaica",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Mason-McGough/ComfyUI-Mosaica",
+            "title": "Mosaica"
+        },
+        {
+            "author": "cuongloveit",
+            "description": "Nodes:Send Http Request. You can use this node to save full size images through the websocket.",
+            "files": [
+                "https://github.com/cuongloveit/comfy_http_request"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/cuongloveit/comfy_http_request",
+            "title": "comfy_http_request"
+        },
+        {
+            "author": "Ron-Digital",
+            "description": "ComfyUI-SceneGenerator is a ComfyUI plugin used to generate scene preview photos from JSON files. This plugin creates scenes based on the provided JSON configuration and produces two different image outputs: one containing only the products and the other containing both the products and the props.",
+            "files": [
+                "https://github.com/Ron-Digital/ComfyUI-SceneGenerator"
+            ],
+            "id": "scenegenerator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ron-Digital/ComfyUI-SceneGenerator",
+            "title": "ComfyUI-SceneGenerator"
+        },
+        {
+            "author": "xliry",
+            "description": "Nodes:Send Video to Discord",
+            "files": [
+                "https://github.com/xliry/ComfyUI_SendDiscord"
+            ],
+            "id": "senddiscord",
+            "install_type": "git-clone",
+            "reference": "https://github.com/xliry/ComfyUI_SendDiscord",
+            "title": "ComfyUI_SendDiscord"
+        },
+        {
+            "author": "xliry",
+            "description": "Nodes:color2RGB",
+            "files": [
+                "https://github.com/vxinhao/color2rgb/raw/main/color2rgb.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/vxinhao/color2rgb",
+            "title": "color2rgb"
+        },
+        {
+            "author": "moyi7712",
+            "description": "It make any text2image create seamless patten",
+            "files": [
+                "https://github.com/moyi7712/ComfyUI_Seamless_Patten"
+            ],
+            "id": "seamless-pattern",
+            "install_type": "git-clone",
+            "reference": "https://github.com/moyi7712/ComfyUI_Seamless_Patten",
+            "title": "ComfyUI_Seamless_Patten"
+        },
+        {
+            "author": "nirex0",
+            "description": "All Credits go to the original Repo: [a/Hzzone/pytorch-openpose](https://github.com/Hzzone/pytorch-openpose).",
+            "files": [
+                "https://github.com/nirex0/ComfyUI_pytorch_openpose"
+            ],
+            "id": "pytorch-openpose",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nirex0/ComfyUI_pytorch_openpose",
+            "title": "ComfyUI_pytorch_openpose"
+        },
+        {
+            "author": "AshMartian",
+            "description": "A collection of ComfyUI directory automation utility nodes. Directory Get It Right adds a GUI directory browser, and smart directory loop/iteration node that supports regex and file extension filtering.",
+            "files": [
+                "https://github.com/AshMartian/ComfyUI-DirGir"
+            ],
+            "id": "dir-gir",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AshMartian/ComfyUI-DirGir",
+            "title": "Dir Gir"
+        },
+        {
+            "author": "SozeInc",
+            "description": "Nodes: Ultimate Concat (Mobile), Send Notification (Mobile), Settings Launcher (Mobile), Settings Launcher Outputs (Mobile)",
+            "files": [
+                "https://github.com/SozeInc/ComfyUI-Mobile"
+            ],
+            "id": "comfyui-mobile",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SozeInc/ComfyUI-Mobile",
+            "title": "ComfyUI-Mobile"
+        },
+        {
+            "author": "audioscavenger",
+            "description": "Load Image thumbnails for ComfyUI",
+            "files": [
+                "https://github.com/audioscavenger/ComfyUI-Thumbnails"
+            ],
+            "id": "thumbnails",
+            "install_type": "git-clone",
+            "reference": "https://github.com/audioscavenger/ComfyUI-Thumbnails",
+            "title": "ComfyUI Thumbnails"
+        },
+        {
+            "author": "goktug",
+            "description": "Save Image Plus is a custom node for ComfyUI that allows you to save images in JPEG and WEBP formats with optional metadata embedding.",
+            "files": [
+                "https://github.com/Goktug/comfyui-saveimage-plus"
+            ],
+            "id": "saveimage-plus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Goktug/comfyui-saveimage-plus",
+            "title": "Save Image Plus for ComfyUI"
+        },
+        {
+            "author": "wujm424606",
+            "description": "Custom ComfyUI Nodes for interacting with [a/Ollama](https://ollama.com/) using the [a/ollama python client](https://github.com/ollama/ollama-python).\n Meanwhile it will provide better prompt descriptor for stable diffusion.",
+            "files": [
+                "https://github.com/wujm424606/ComfyUi-Ollama-YN"
+            ],
+            "id": "ollama-YN",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wujm424606/ComfyUi-Ollama-YN",
+            "title": "ComfyUi-Ollama-YN"
+        },
+        {
+            "author": "tmagara",
+            "description": "prediction boost custom node for ComfyUI",
+            "files": [
+                "https://github.com/tmagara/ComfyUI-Prediction-Boost"
+            ],
+            "id": "prediction-boost",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tmagara/ComfyUI-Prediction-Boost",
+            "title": "ComfyUI-Prediction-Boost"
+        },
+        {
+            "author": "chesnokovivan",
+            "description": "ComfyUI: Novakid. A node.",
+            "files": [
+                "https://github.com/chesnokovivan/ComfyUI-Novakid"
+            ],
+            "id": "novakid",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chesnokovivan/ComfyUI-Novakid",
+            "title": "ComfyUI-Novakid"
+        },
+        {
+            "author": "Jin Liu",
+            "description": "Edit images in the Photopea editor directly within ComfyUI.",
+            "files": [
+                "https://github.com/coolzilj/ComfyUI-Photopea"
+            ],
+            "id": "photopea",
+            "install_type": "git-clone",
+            "reference": "https://github.com/coolzilj/ComfyUI-Photopea",
+            "title": "ComfyUI-Photopea"
+        },
+        {
+            "author": "bitaffinity",
+            "description": "Unofficial support for Hugging Face's hosted inference.",
+            "files": [
+                "https://github.com/bitaffinity/ComfyUI_HF_Inference"
+            ],
+            "id": "hf-inference",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bitaffinity/ComfyUI_HF_Inference",
+            "title": "ComfyUI_HF_Inference"
+        },
+        {
+            "author": "claussteinmassl",
+            "description": "The CS Transform node is a custom node for ComfyUI that applies a series of transformations to an input image and mask. The transformations include scaling, rotation, and translation, all centered around a specified pivot point. The node ensures that the transformed image is properly accommodated within a canvas, which can be expanded if needed.",
+            "files": [
+                "https://github.com/claussteinmassl/ComfyUI-CS-CustomNodes"
+            ],
+            "id": "cs-transform",
+            "install_type": "git-clone",
+            "reference": "https://github.com/claussteinmassl/ComfyUI-CS-CustomNodes",
+            "title": "CS Transform Node for ComfyUI"
+        },
+        {
+            "author": "MariusKM",
+            "description": "Nodes:Badman_Blend, Badman_HexGenerator, Badman_String, Badman_Concat_String, Badman_Print, BadmanIO, BadmanIntUtil",
+            "files": [
+                "https://github.com/MariusKM/ComfyUI-BadmanNodes"
+            ],
+            "id": "badman",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MariusKM/ComfyUI-BadmanNodes",
+            "title": "ComfyUI-BadmanNodes"
+        },
+        {
+            "author": "TMElyralab",
+            "description": "[a/MusePose](https://github.com/TMElyralab/MusePose) is an image-to-video generation framework for virtual human under control signal such as pose.\nNOTE: You need to download weigths manually from: [a/https://huggingface.co/TMElyralab/MusePose](https://huggingface.co/TMElyralab/MusePose).[w/The repository name has changed. If you are not receiving updates, please delete the existing node and reinstall it.]",
+            "files": [
+                "https://github.com/TMElyralab/Comfyui-MusePose"
+            ],
+            "id": "musepose",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TMElyralab/Comfyui-MusePose",
+            "title": "Comfyui-MusePose"
+        },
+        {
+            "author": "PnthrLeo",
+            "description": "Nodes:Close Images Searcher",
+            "files": [
+                "https://github.com/PnthrLeo/comfyUI-image-search"
+            ],
+            "id": "image-search",
+            "install_type": "git-clone",
+            "reference": "https://github.com/PnthrLeo/comfyUI-image-search",
+            "title": "comfyUI-image-search"
+        },
+        {
+            "author": "l20richo",
+            "description": "ComfyUI-Azure-Blob-Storage seamlessly integrates with [a/Azure Blob Storage](https://azure.microsoft.com/en-us/products/storage/blobs/) in ComfyUI. This open-source project provides custom nodes for effortless loading and saving of images, videos, and checkpoint models directly from Azure blob containers within the ComfyUI graph interface.",
+            "files": [
+                "https://github.com/l20richo/ComfyUI-Azure-Blob-Storage"
+            ],
+            "id": "azure-blob-storage",
+            "install_type": "git-clone",
+            "reference": "https://github.com/l20richo/ComfyUI-Azure-Blob-Storage",
+            "title": "ComfyUI-Azure-Blob-Storage"
+        },
+        {
+            "author": "AARG-FAN",
+            "description": "a wrap-up of ComfyUI nodes for converting pixels to raster, sent out to [a/Vtracer](https://github.com/visioncortex/vtracer)!",
+            "files": [
+                "https://github.com/AARG-FAN/Image-Raster-for-ComfyUI"
+            ],
+            "id": "image-vector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/AARG-FAN/Image-Raster-for-ComfyUI",
+            "title": "Image-vector-for-ComfyUI"
+        },
+        {
+            "author": "Smirnov75",
+            "description": "A set of useful nodes for convenient use of ComfyUI, including: Seed randomization before the generation process starts, with saving of the last used values and the ability to automatically interrupt the current generation; A function to pause the generation process; Slider nodes for convenient control of input parameters; An alternative version of the standard Reroute node.",
+            "files": [
+                "https://github.com/Smirnov75/ComfyUI-mxToolkit"
+            ],
+            "id": "mxtoolkit",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Smirnov75/ComfyUI-mxToolkit",
+            "title": "ComfyUI-mxToolkit"
+        },
+        {
+            "author": "humgate",
+            "description": "Simple JS application based on ComfyUI which takes prompt and style picture from user and runs hardcoded workflow inference returning generated image to user.",
+            "files": [
+                "https://github.com/humgate/simplecomfy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/humgate/simplecomfy",
+            "title": "simplecomfy"
+        },
+        {
+            "author": "vanche1212",
+            "description": "Nodes:ApiRequestNode, LoadVideoNode, JsonParserNode, OllamaRequestNode, OldPhotoColorizationNode.",
+            "files": [
+                "https://github.com/vanche1212/ComfyUI-ZMG-Nodes"
+            ],
+            "id": "zmg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/vanche1212/ComfyUI-ZMG-Nodes",
+            "title": "ZMG PLUGIN"
+        },
+        {
+            "author": "hben35096",
+            "description": "Nodes:commonly_node.",
+            "files": [
+                "https://github.com/hben35096/ComfyUI-ToolBox"
+            ],
+            "id": "hben-toolbox",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hben35096/ComfyUI-ToolBox",
+            "title": "ComfyUI-ToolBox"
+        },
+        {
+            "author": "hben35096",
+            "description": "This repository contains two custom nodes for ComfyUI that utilize the [a/CLIPSeg model](https://huggingface.co/docs/transformers/main/en/model_doc/clipseg) to generate masks for image inpainting tasks based on text prompts.",
+            "files": [
+                "https://github.com/hben35096/ComfyUI-ReplenishNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/hben35096/ComfyUI-ReplenishNodes",
+            "title": "ComfyUI-ReplenishNodes"
+        },
+        {
+            "author": "tiankuan93",
+            "description": "[Original] In the field of portrait video generation, the use of single images to generate portrait videos has become increasingly prevalent. A common approach involves leveraging generative models to enhance adapters for controlled generation. However, control signals can vary in strength, including text, audio, image reference, pose, depth map, etc. Among these, weaker conditions often struggle to be effective due to interference from stronger conditions, posing a challenge in balancing these conditions. In our work on portrait video generation, we identified audio signals as particularly weak, often overshadowed by stronger signals such as pose and original image. However, direct training with weak signals often leads to difficulties in convergence. To address this, we propose V-Express, a simple method that balances different control signals through a series of progressive drop operations. Our method gradually enables effective control by weak conditions, thereby achieving generation capabilities that simultaneously take into account pose, input image, and audio.\nNOTE: You need to downdload [a/model_ckpts](https://huggingface.co/tk93/V-Express/tree/main) manually.",
+            "files": [
+                "https://github.com/tiankuan93/ComfyUI-V-Express"
+            ],
+            "id": "v-express",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tiankuan93/ComfyUI-V-Express",
+            "title": "V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation"
+        },
+        {
+            "author": "CMonk",
+            "description": "This custom nodes enables Stable Projectorz to work with ComfyUI Directly.",
+            "files": [
+                "https://github.com/tianlang0704/ComfyUI-StableProjectorzBridge"
+            ],
+            "id": "projectorz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tianlang0704/ComfyUI-StableProjectorzBridge",
+            "title": "Stable Projectorz Bridge"
+        },
+        {
+            "author": "Scorpinaus",
+            "description": "This node pack allows loading of SD checkpoints that uses diffusers format in comfyUI.",
+            "files": [
+                "https://github.com/Scorpinaus/ComfyUI-DiffusersLoader"
+            ],
+            "id": "comfyui-diffusersloader",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Scorpinaus/ComfyUI-DiffusersLoader",
+            "title": "ComfyUI-DiffusersLoader"
+        },
+        {
+            "author": "chakib-belgaid",
+            "description": "This is a simple plugin for ComfyUI that allows you to import A1111 CSV styles into ComfyUI prompts.",
+            "files": [
+                "https://github.com/chakib-belgaid/Comfyui_Prompt_styler"
+            ],
+            "id": "style-plugin",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chakib-belgaid/Comfyui_Prompt_styler",
+            "title": "ComfyUI Style Plugin"
+        },
+        {
+            "author": "chakib-belgaid",
+            "description": "A ComfyUI utility plugin designed to optimize the latent space for generating high-quality results. It approximates the closest size model for better generation results.",
+            "files": [
+                "https://github.com/chakib-belgaid/ComfyUI-autosize"
+            ],
+            "id": "autosize",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chakib-belgaid/ComfyUI-autosize",
+            "title": "ComfyUI-autosize"
+        },
+        {
+            "author": "ThereforeGames",
+            "description": "A node that processes input text with the [a/Unprompted templating language](https://github.com/ThereforeGames/unprompted).",
+            "files": [
+                "https://github.com/ThereforeGames/ComfyUI-Unprompted"
+            ],
+            "id": "unprompted",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ThereforeGames/ComfyUI-Unprompted",
+            "title": "ComfyUI-Unprompted"
+        },
+        {
+            "author": "Tool Of North america",
+            "description": "A very simple and easy to use node to automaticaaly create (square) image crops and masks using YoloV8. This can be very useful when using controlnet and ip adapters",
+            "files": [
+                "https://github.com/tooldigital/ComfyUI-Yolo-Cropper"
+            ],
+            "id": "tooldigital",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tooldigital/ComfyUI-Yolo-Cropper",
+            "title": "Easy automatic (square) image cropper using Yolo"
+        },
+        {
+            "author": "luandev",
+            "description": "ComfyUI-CrewAI aims to integrate Crew AI's multi-agent collaboration framework into the ComfyUI environment. By combining the strengths of Crew AI's role-based, collaborative AI agent system with ComfyUI's intuitive interface, we will create a robust platform for managing and executing complex AI tasks seamlessly",
+            "files": [
+                "https://github.com/luandev/ComfyUI-CrewAI"
+            ],
+            "id": "crewai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/luandev/ComfyUI-CrewAI",
+            "title": "ComfyUI CrewAI"
+        },
+        {
+            "author": "chandlergis",
+            "description": "Nodes:Image Emoji Overlay",
+            "files": [
+                "https://github.com/chandlergis/ComfyUI_EmojiOverlay"
+            ],
+            "id": "emoji-overlay",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chandlergis/ComfyUI_EmojiOverlay",
+            "title": "ComfyUI_EmojiOverlay"
+        },
+        {
+            "author": "JayLyu",
+            "description": "Nodes:BK Img To Color, BK Color Selector",
+            "files": [
+                "https://github.com/JayLyu/ComfyUI_BaiKong_Node"
+            ],
+            "id": "baikong",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JayLyu/ComfyUI_BaiKong_Node",
+            "title": "ComfyUI_BaiKong_Node"
+        },
+        {
+            "author": "risunobushi",
+            "description": "A collection of simple nodes for Frequency Separation / Frequency Recombine with RGB and HSV methods",
+            "files": [
+                "https://github.com/risunobushi/comfyUI_FrequencySeparation_RGB-HSV"
+            ],
+            "id": "freq-sep",
+            "install_type": "git-clone",
+            "reference": "https://github.com/risunobushi/comfyUI_FrequencySeparation_RGB-HSV",
+            "title": "comfyUI_FrequencySeparation_RGB-HSV"
+        },
+        {
+            "author": "zohac",
+            "description": "Nodes:ZC DrawShape Node",
+            "files": [
+                "https://github.com/zohac/ComfyUI_ZC_DrawShape"
+            ],
+            "id": "drawshape",
+            "install_type": "git-clone",
+            "reference": "https://github.com/zohac/ComfyUI_ZC_DrawShape",
+            "title": "ComfyUI_ZC_DrawShape"
+        },
+        {
+            "author": "DataCTE",
+            "description": "This custom node for ComfyUI allows you to inject specific prompts at specific blocks of the Stable Diffusion UNet, providing fine-grained control over the generated image. It is based on the concept that the content/subject understanding of the model is primarily contained within the MID0 and MID1 blocks, as demonstrated in the B-Lora (Content Style implicit separation) paper. Features.\nInject different prompts into specific UNet blocks Three different node variations for flexible workflow integration Customize the learning rate of specific blocks to focus on content, lighting, style, or other aspects Potential for developing a 'Mix of Experts' approach by swapping blocks on-the-fly based on prompt content",
+            "files": [
+                "https://github.com/DataCTE/prompt_injection"
+            ],
+            "id": "prompt-injection",
+            "install_type": "git-clone",
+            "reference": "https://github.com/DataCTE/prompt_injection",
+            "title": "Prompt Injection Node for ComfyUI"
+        },
+        {
+            "author": "FrankChieng",
+            "description": "implementation easyanimate with llama3-8b-6bit instruction LLM generation prompt help",
+            "files": [
+                "https://github.com/frankchieng/ComfyUI_llm_easyanimiate"
+            ],
+            "id": "llm-easyanimate",
+            "install_type": "git-clone",
+            "nodename_pattern": "^FrankChiengEasyAnimate",
+            "reference": "https://github.com/frankchieng/ComfyUI_llm_easyanimiate",
+            "title": "ComfyUI_llm_easyanimiate"
+        },
+        {
+            "author": "nuanarchy",
+            "description": "ComfyUI implementation of [a/FlashFace: Human Image Personalization with High-fidelity Identity Preservation](https://github.com/ali-vilab/FlashFace)\nNOTE: You need to downalod models manually.",
+            "files": [
+                "https://github.com/nuanarchy/ComfyUI-NuA-FlashFace"
+            ],
+            "id": "nua-flashface",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nuanarchy/ComfyUI-NuA-FlashFace",
+            "title": "ComfyUI-NuA-FlashFace"
+        },
+        {
+            "author": "nuanarchy",
+            "description": "ComfyUI implementation of '[a/Blind Image Restoration via Fast Diffusion Inversion](https://github.com/hamadichihaoui/BIRD)' Original [a/article](https://arxiv.org/abs/2405.19572)",
+            "files": [
+                "https://github.com/nuanarchy/ComfyUI-NuA-BIRD"
+            ],
+            "id": "nua-bird",
+            "install_type": "git-clone",
+            "reference": "https://github.com/nuanarchy/ComfyUI-NuA-BIRD",
+            "title": "ComfyUI-NuA-BIRD"
+        },
+        {
+            "author": "denfrost",
+            "description": "Custom nodes make easy Advanced Workflows. Focus on Image/Video and ControlNet efficiency and performances. Manipulation of Latent Space, Automatic pipeline with a bit efforts.",
+            "files": [
+                "https://github.com/denfrost/Den_ComfyUI_Workflow"
+            ],
+            "id": "den",
+            "install_type": "git-clone",
+            "reference": "https://github.com/denfrost/Den_ComfyUI_Workflow",
+            "title": "Den_ComfyUI_Workflows"
+        },
+        {
+            "author": "marduk191",
+            "description": "A node to set workflow settings.",
+            "files": [
+                "https://github.com/marduk191/comfyui-marnodes"
+            ],
+            "id": "marnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/marduk191/comfyui-marnodes",
+            "title": "marduk191 workflow settings"
+        },
+        {
+            "author": "marduk191",
+            "description": "This custom node for ComfyUI integrates the Flux-Prompt-Enhance model, allowing you to enhance your prompts directly within your ComfyUI workflows.",
+            "files": [
+                "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer"
+            ],
+            "id": "fluxpromptenhancer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer",
+            "title": "Flux Prompt Enhance Node for ComfyUI"
+        },
+        {
+            "author": "haohaocreates",
+            "description": "comfy ui custom node that returns an image from a batch based on selected criteria such as RGB value, brightness, etc (credits to chris goringe's custom nodes tutorial ).",
+            "files": [
+                "https://github.com/haohaocreates/ComfyUI-HH-Image-Selector"
+            ],
+            "id": "hh-image-selector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/haohaocreates/ComfyUI-HH-Image-Selector",
+            "title": "ComfyUI-HH-Image-Selector"
+        },
+        {
+            "author": "exdysa",
+            "description": "Nodes:Selector. Quick and dirty parameter generator node for ComfyUI.",
+            "files": [
+                "https://github.com/exdysa/comfyui-selector"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/exdysa/comfyui-selector",
+            "title": "comfyui-selector"
+        },
+        {
+            "author": "Jin Liu",
+            "description": "A variety of custom nodes to enhance ComfyUI for a buttery smooth experience.",
+            "files": [
+                "https://github.com/coolzilj/ComfyUI-LJNodes"
+            ],
+            "id": "ComfyUI-LJNodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/coolzilj/ComfyUI-LJNodes",
+            "title": "ComfyUI-LJNodes"
+        },
+        {
+            "author": "GavChap",
+            "description": "You'll get a new node called SD3 Latent Select Resolution, you can pick the x and y sizes from a list.",
+            "files": [
+                "https://github.com/GavChap/ComfyUI-SD3LatentSelectRes"
+            ],
+            "id": "sd3latent-select-res",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GavChap/ComfyUI-SD3LatentSelectRes",
+            "title": "ComfyUI-SD3LatentSelectRes"
+        },
+        {
+            "author": "BenNarum",
+            "description": "A set of tools for generating and altering sigmas in ComfyUI.",
+            "files": [
+                "https://github.com/BenNarum/SigmaWaveFormNode"
+            ],
+            "id": "sigmawaveform",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BenNarum/SigmaWaveFormNode",
+            "title": "SigmaWaveFormNodes"
+        },
+        {
+            "author": "shobhitic",
+            "description": "This adds a node that has both the positive and negative prompts as input in one node. You can just add one node and be done with both Positive and Negative prompts, in place of adding two different nodes for them.",
+            "files": [
+                "https://github.com/shobhitic/ComfyUI-PlusMinusTextClip"
+            ],
+            "id": "plusminustextclip",
+            "install_type": "git-clone",
+            "reference": "https://github.com/shobhitic/ComfyUI-PlusMinusTextClip",
+            "title": "PlusMinusTextClip - Single node for Positive and Negative Prompts"
+        },
+        {
+            "author": "Late Night Labs",
+            "description": "Frame Selector & Sequence Selection Node for ComfyUI.",
+            "files": [
+                "https://github.com/latenightlabs/ComfyUI-LNL"
+            ],
+            "id": "lnlframeselector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/latenightlabs/ComfyUI-LNL",
+            "title": "LNL Frame Selector"
+        },
+        {
+            "author": "Michael Standen",
+            "description": "A prompt generator and CLIP encoder using AI provided by Ollama.",
+            "files": [
+                "https://github.com/ScreamingHawk/comfyui-ollama-prompt-encode"
+            ],
+            "id": "ollamapromptencode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ScreamingHawk/comfyui-ollama-prompt-encode",
+            "title": "Ollama Prompt Encode"
+        },
+        {
+            "author": "NvidiaGameWorksAdmin",
+            "description": "Use ComfyUI with RTX Remix to remaster classic games [a/https://github.com/NVIDIAGameWorks/rtx-remix](https://github.com/NVIDIAGameWorks/rtx-remix)",
+            "files": [
+                "https://github.com/NVIDIAGameWorks/ComfyUI-RTX-Remix"
+            ],
+            "id": "comfyui-rtx-remix",
+            "install_type": "git-clone",
+            "reference": "https://github.com/NVIDIAGameWorks/ComfyUI-RTX-Remix",
+            "title": "ComfyUI-RTX-Remix"
+        },
+        {
+            "author": "toxicwind",
+            "description": "Text Randomization and Formatting, JSON Extraction and Processing, SD3 Resolution Solver",
+            "files": [
+                "https://github.com/toxicwind/ComfyUI-TTools"
+            ],
+            "id": "ttools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/toxicwind/ComfyUI-TTools",
+            "title": "TTools for ComfyUI"
+        },
+        {
+            "author": "Yanick112",
+            "description": "This project converts raster images into SVG format using the [a/VTracer](https://github.com/visioncortex/vtracer) library. It's a handy tool for designers and developers who need to work with vector graphics programmatically.",
+            "files": [
+                "https://github.com/Yanick112/ComfyUI-ToSVG"
+            ],
+            "id": "tosvg",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Yanick112/ComfyUI-ToSVG",
+            "title": "ComfyUI-ToSVG"
+        },
+        {
+            "author": "dicksondickson",
+            "description": "A set of custom nodes that I've either written myself or adapted from other authors",
+            "files": [
+                "https://github.com/dicksondickson/ComfyUI-Dickson-Nodes"
+            ],
+            "id": "dicksonnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/dicksondickson/ComfyUI-Dickson-Nodes",
+            "title": "ComfyUI-Dickson-Nodes"
+        },
+        {
+            "author": "juehackr",
+            "description": "\ud83e\udd17\ud83e\udd17\ud83e\udd17Comfyui Universal Translation Plugin (no longer requires adding various nodes, directly add translation function on the existing nodes), allowing Comfyui to support Chinese input and automatic translation for any long text input box, while adding error translation function (calling Baidu Translate), achieving translation freedom!",
+            "files": [
+                "https://github.com/juehackr/comfyui_fk_server"
+            ],
+            "id": "fk-server",
+            "install_type": "git-clone",
+            "reference": "https://github.com/juehackr/comfyui_fk_server",
+            "title": "comfyui_fk_server"
+        },
+        {
+            "author": "G-370",
+            "description": "Nodes:Render SD3 Attention, SD3 Attention To Image, SD3 Image Into Attention.",
+            "files": [
+                "https://github.com/G-370/ComfyUI-SD3-Powerlab"
+            ],
+            "id": "sd3-powerlab",
+            "install_type": "git-clone",
+            "reference": "https://github.com/G-370/ComfyUI-SD3-Powerlab",
+            "title": "ComfyUI-SD3-Powerlab"
+        },
+        {
+            "author": "TylerZoro",
+            "description": "Tools for scaling images and latents appropriate to SD3 in ComfyUI.",
+            "files": [
+                "https://github.com/TylerZoro/SD3-Scaling"
+            ],
+            "id": "sd3-scaling",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TylerZoro/SD3-Scaling",
+            "title": "SD3-Scaling"
+        },
+        {
+            "author": "baicai99",
+            "description": "Used to process video redrawing, frame skipping, frame ending early, etc.",
+            "files": [
+                "https://github.com/baicai99/ComfyUI-FrameSkipping"
+            ],
+            "id": "FrameSkipping",
+            "install_type": "git-clone",
+            "reference": "https://github.com/baicai99/ComfyUI-FrameSkipping",
+            "title": "ComfyUI-FrameSkipping"
+        },
+        {
+            "author": "SuperMasterBlasterLaser",
+            "description": "Nodes:YOLO Classifier Model Loader, YOLO Classify.",
+            "files": [
+                "https://github.com/SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers"
+            ],
+            "id": "yolo-classifier",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers",
+            "title": "ComfyUI_YOLO_Classifiers"
+        },
+        {
+            "author": "SamKhoze",
+            "description": "DeepFuze is a state-of-the-art deep learning tool that seamlessly integrates with ComfyUI to revolutionize facial transformations, lipsyncing, video generation, voice cloning, face swapping, and lipsync translation. Leveraging advanced algorithms, DeepFuze enables users to combine audio and video with unparalleled realism, ensuring perfectly synchronized facial movements. This innovative solution is ideal for content creators, animators, developers, and anyone seeking to elevate their video editing projects with sophisticated AI-driven features.",
+            "files": [
+                "https://github.com/SamKhoze/ComfyUI-DeepFuze"
+            ],
+            "id": "deepfuze",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SamKhoze/ComfyUI-DeepFuze",
+            "title": "DeepFuze"
+        },
+        {
+            "author": "superyoman",
+            "description": "Unofficial Luma API-ComfyUI version.[w/WARN: This project is for learning purpose only!]",
+            "files": [
+                "https://github.com/superyoman/comfyui_lumaAPI"
+            ],
+            "id": "luma",
+            "install_type": "git-clone",
+            "reference": "https://github.com/superyoman/comfyui_lumaAPI",
+            "title": "comfyui_lumaAPI"
+        },
+        {
+            "author": "chris-the-wiz",
+            "description": "Edit embeddings with a curve. Actually should work on any 1D input tensor. Tested with IPAdapter-Plus.",
+            "files": [
+                "https://github.com/chris-the-wiz/EmbeddingsCurveEditor_ComfyUI"
+            ],
+            "id": "embeddings-curve-editor",
+            "install_type": "git-clone",
+            "reference": "https://github.com/chris-the-wiz/EmbeddingsCurveEditor_ComfyUI",
+            "title": "EmbeddingsCurveEditor_ComfyUI"
+        },
+        {
+            "author": "zhulu111",
+            "description": "sdBxb, a tool that converts ComfyUI workflows into WeChat Mini Program, Douyin Mini Program, and H5 with one click, and supports payments.",
+            "files": [
+                "https://github.com/zhulu111/ComfyUI_Bxb"
+            ],
+            "id": "ComfyUI_Bxb",
+            "install_type": "git-clone",
+            "reference": "https://github.com/zhulu111/ComfyUI_Bxb",
+            "title": "ComfyUI_Bxb"
+        },
+        {
+            "author": "lordgasmic",
+            "description": "This is an attempt to recreate the wildcards plugin for Automatic1111 but for ComfyUI.",
+            "files": [
+                "https://github.com/lordgasmic/comfyui_wildcards"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lordgasmic/comfyui_wildcards",
+            "title": "comfyui_wildcards"
+        },
+        {
+            "author": "lordgasmic",
+            "description": "Nodes:Save Image with Options",
+            "files": [
+                "https://github.com/lordgasmic/comfyui_save_image_with_options"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lordgasmic/comfyui_save_image_with_options",
+            "title": "comfyui_save_image_with_options"
+        },
+        {
+            "author": "opvelll",
+            "description": "This is a custom node for Comfy UI. It mainly wraps itertools.product and can be used to create patterns by combining prompts. It is recommended to install this custom node in combination with the nodes from the WAS Node Suite.",
+            "files": [
+                "https://github.com/opvelll/ComfyUI_TextListProduct"
+            ],
+            "id": "listproduct",
+            "install_type": "git-clone",
+            "reference": "https://github.com/opvelll/ComfyUI_TextListProduct",
+            "title": "Comfy UI Text List Product"
+        },
+        {
+            "author": "jakechai",
+            "description": "A ComfyUI workflow customization by Jake.",
+            "files": [
+                "https://github.com/jakechai/ComfyUI-JakeUpgrade"
+            ],
+            "id": "jkupgrade",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jakechai/ComfyUI-JakeUpgrade",
+            "title": "ComfyUI-JakeUpgrade"
+        },
+        {
+            "author": "celsojr2013",
+            "description": "Nodes:Simple Google Translator, Simple Resolution Solver.\nThis is a small set of simple nodes that help your workflow on ComfyUI.",
+            "files": [
+                "https://github.com/celsojr2013/comfyui_simpletools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/celsojr2013/comfyui_simpletools",
+            "title": "ComfyUI SimpleTools Suit"
+        },
+        {
+            "author": "celsojr2013",
+            "description": "Nodes:Jamworks_Login, Jamworks_Download, Shell_Command.\nA Simple Client for Jamworks Platform DAM Integration",
+            "files": [
+                "https://github.com/celsojr2013/comfyui_jamworks_client"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/celsojr2013/comfyui_jamworks_client",
+            "title": "comfyui_jamworks_client"
+        },
+        {
+            "author": "fablestudio",
+            "description": "Comfyui Custom Nodes for Showrunner",
+            "files": [
+                "https://github.com/fablestudio/ComfyUI-Showrunner-Utils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/fablestudio/ComfyUI-Showrunner-Utils",
+            "title": "ComfyUI-Showrunner-Utils"
+        },
+        {
+            "author": "MilitantHitchhiker",
+            "description": "Militant Hitchhiker's Switchblade Pack is a collection of custom nodes for ComfyUI that provide various multi-function capabilities.",
+            "files": [
+                "https://github.com/MilitantHitchhiker/MilitantHitchhiker-SwitchbladePack"
+            ],
+            "id": "hitchhiker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MilitantHitchhiker/MilitantHitchhiker-SwitchbladePack",
+            "title": "MilitantHitchhiker-SwitchbladePack"
+        },
+        {
+            "author": "slyt",
+            "description": "ComfyUI custom nodes for working with [a/Ollama](https://github.com/ollama/ollama).\nNOTE:Assumes that an Ollama server is running at http://127.0.0.1:11434 and accessible by the ComfyUI backend.",
+            "files": [
+                "https://github.com/slyt/comfyui-ollama-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/slyt/comfyui-ollama-nodes",
+            "title": "comfyui-ollama-nodes"
+        },
+        {
+            "author": "zwng",
+            "description": "Simple nodes for loading image files.Nodes that include a simple remote connection to Photoshop, a node that can overlay and preview an image with a mask, and a node that can load images directly from a file path.",
+            "files": [
+                "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes"
+            ],
+            "id": "zwng",
+            "install_type": "git-clone",
+            "reference": "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes",
+            "title": "ComfyUI_Zwng_Nodes"
+        },
+        {
+            "author": "RedRayz",
+            "description": "Converts booru tags to a format suitable for Waifu Diffusion(or Danbooru based models).",
+            "files": [
+                "https://github.com/RedRayz/ComfyUI-Danbooru-To-WD"
+            ],
+            "id": "danbooru2wd",
+            "install_type": "git-clone",
+            "reference": "https://github.com/RedRayz/ComfyUI-Danbooru-To-WD",
+            "title": "ComfyUI-Danbooru-To-WD"
+        },
+        {
+            "author": "Shibiko-AI",
+            "description": "This is a collection of tools that I use to make my life easier when developing ComfyUI applications. It is a collection of tools that I have created to help me with my development process. I have decided to share these tools with the community in the hopes that they will be useful to others as well. I use this tools to further develop features for [a/https://shibiko.ai](https://shibiko.ai)",
+            "files": [
+                "https://github.com/Shibiko-AI/ShibikoAI-ComfyUI-Tools"
+            ],
+            "id": "shibiko-ai-tools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Shibiko-AI/ShibikoAI-ComfyUI-Tools",
+            "title": "Shibiko AI ComfyUI Tools"
+        },
+        {
+            "author": "SaltAI",
+            "description": "SaltAI AudioViz contains ComfyUI nodes for generating complex audio reactive visualizations",
+            "files": [
+                "https://github.com/get-salt-AI/SaltAI_AudioViz"
+            ],
+            "id": "saltai-audioviz",
+            "install_type": "git-clone",
+            "reference": "https://github.com/get-salt-AI/SaltAI_AudioViz",
+            "title": "SaltAI_AudioViz"
+        },
+        {
+            "author": "SherryXieYuchen",
+            "description": "Nodes:VAE Encode Inpaint, VAE Decode Inpaint, ColorCorrection Inpaint, ImagePreprocess Inpaint, ImagePostprocess Inpaint, Load Model Inpaint, Inpainting (using Model)",
+            "files": [
+                "https://github.com/SherryXieYuchen/ComfyUI-Image-Inpainting"
+            ],
+            "id": "image-inpainting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SherryXieYuchen/ComfyUI-Image-Inpainting",
+            "title": "ComfyUI-Image-Inpainting"
+        },
+        {
+            "author": "zeroxoxo",
+            "description": "ComfyUI node for fast neural style transfer. This is a simple conversion based on this: [a/https://github.com/rrmina/fast-neural-style-pytorch](https://github.com/rrmina/fast-neural-style-pytorch) Only basic inference functionality is ported for now.",
+            "files": [
+                "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer"
+            ],
+            "id": "fast-style-transfer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer",
+            "title": "ComfyUI-Fast-Style-Transfer"
+        },
+        {
+            "author": "iwanders",
+            "description": "Nodes:IW SaveString, IW PrintString, IW ReplaceString, IW StringNode, IW StringConcat, IW TokenizerVocab, IW JsonPickItem.",
+            "files": [
+                "https://github.com/iwanders/ComfyUI_nodes"
+            ],
+            "id": "iwanders-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/iwanders/ComfyUI_nodes",
+            "title": "iwanders/ComfyUI_nodes"
+        },
+        {
+            "author": "rhdunn",
+            "description": "A collection of nodes for rerouting multiple I/O lines together in a bus.",
+            "files": [
+                "https://github.com/rhdunn/comfyui-bus-plugin"
+            ],
+            "id": "bus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/rhdunn/comfyui-bus-plugin",
+            "title": "comfyui-bus-plugin"
+        },
+        {
+            "author": "rhdunn",
+            "description": "This plugin is compatible with the ComfyUI audio nodes.",
+            "files": [
+                "https://github.com/rhdunn/comfyui-audio-processing"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/rhdunn/comfyui-audio-processing",
+            "title": "comfyui-audio-processing"
+        },
+        {
+            "author": "hyunamy",
+            "description": "A feature that sends an email via Gmail once image generation is completed in Comfy-ui.",
+            "files": [
+                "https://github.com/hyunamy/comfy-ui-on-complete-email-me"
+            ],
+            "id": "hyunamy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hyunamy/comfy-ui-on-complete-email-me",
+            "title": "Comfy-UI on-complete-email-me"
+        },
+        {
+            "author": "veighnsche",
+            "description": "Nodes:Image Dimension Resizer, Image Sizer, Random Ratio, Show Text, Random Title Character, Random Wildcard Tag Picker, Random Show Atm Loc Outfit, Contains Word, Elements Concatenator, ...",
+            "files": [
+                "https://github.com/veighnsche/comfyui_gr85"
+            ],
+            "id": "gr85",
+            "install_type": "git-clone",
+            "reference": "https://github.com/veighnsche/comfyui_gr85",
+            "title": "comfyui_gr85"
+        },
+        {
+            "author": "leiweiqiang",
+            "description": "Nodes:TCL EbSynth, TCL Extract Frames (From File), TCL Extract Frames (From Video), TCL Combine Frames, TCL Save Video (From Frames)",
+            "files": [
+                "https://github.com/leiweiqiang/ComfyUI-TRA"
+            ],
+            "id": "tra",
+            "install_type": "git-clone",
+            "reference": "https://github.com/leiweiqiang/ComfyUI-TRA",
+            "title": "ComfyUI-TRA"
+        },
+        {
+            "author": "hwhaocool",
+            "description": "a comfyui custom node, which can select value from inputs",
+            "files": [
+                "https://github.com/hwhaocool/ComfyUI-Select-Any"
+            ],
+            "id": "select-any",
+            "install_type": "git-clone",
+            "reference": "https://github.com/hwhaocool/ComfyUI-Select-Any",
+            "title": "ComfyUI-Select-Any"
+        },
+        {
+            "author": "GreenLandisaLie",
+            "description": "ComfyUI implementation of [a/Aura-SR](https://github.com/fal-ai/aura-sr)",
+            "files": [
+                "https://github.com/GreenLandisaLie/AuraSR-ComfyUI"
+            ],
+            "id": "aurasr-greenlandisalie",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GreenLandisaLie/AuraSR-ComfyUI",
+            "title": "AuraSR-ComfyUI"
+        },
+        {
+            "author": "licyk",
+            "description": "This extension is a node that directly expands the functionality of KSampler, rather than being in the form of a custom node. [w/Workflows created using this feature are not compatible with other users.]",
+            "files": [
+                "https://github.com/licyk/ComfyUI-Restart-Sampler"
+            ],
+            "id": "restart-sampler-licyk",
+            "install_type": "git-clone",
+            "reference": "https://github.com/licyk/ComfyUI-Restart-Sampler",
+            "title": "ComfyUI-Restart-Sampler"
+        },
+        {
+            "author": "my-opencode",
+            "description": "[a/ImageMagick](https://imagemagick.org/index.php) nodes for ComfyUI. Adds nodes to call ImageMagick subprocesses from ComfyUI.\nRequirements: [a/ImagMagick7](https://imagemagick.org/script/download.php), 'magick' command in your CLI environment.",
+            "files": [
+                "https://github.com/my-opencode/ComfyUI_IndustrialMagick"
+            ],
+            "id": "industrialmagick",
+            "install_type": "git-clone",
+            "reference": "https://github.com/my-opencode/ComfyUI_IndustrialMagick",
+            "title": "ComfyUI_IndustrialMagick"
+        },
+        {
+            "author": "my-opencode",
+            "description": "A custom node that returns the generation time of the KSampler. Intended for benchmarking or debugging.",
+            "files": [
+                "https://github.com/my-opencode/ComfyUI_KSamplerTimer"
+            ],
+            "id": "ksamplertimer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/my-opencode/ComfyUI_KSamplerTimer",
+            "title": "ComfyUI_KSamplerTimer"
+        },
+        {
+            "author": "SEkINVR",
+            "description": "This custom node for ComfyUI allows you to save images in multiple formats, including PNG, JPG, WebP, and ICO.\n[w/ComfyUI-Save-Multi-Format is renamed to SaveAs. Remove previous one and reinstall to this.]",
+            "files": [
+                "https://github.com/SEkINVR/ComfyUI-SaveAs"
+            ],
+            "id": "saveas",
+            "install_type": "git-clone",
+            "reference": "https://github.com/SEkINVR/ComfyUI-SaveAs",
+            "title": "ComfyUI SaveAS"
+        },
+        {
+            "author": "MrSamSeen",
+            "description": "Side by Side 3D Stereoscope generation node for ComfyUI by SamSeen.",
+            "files": [
+                "https://github.com/MrSamSeen/ComfyUI_SSStereoscope"
+            ],
+            "id": "ssstereoscope",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MrSamSeen/ComfyUI_SSStereoscope",
+            "title": "ComfyUI_SSStereoscope"
+        },
+        {
+            "author": "jroc22",
+            "description": "This is a simple node for creating prompts using a .csv file. I created this node as an easy way to output different prompts each time a workflow is run.",
+            "files": [
+                "https://github.com/jroc22/ComfyUI-CSV-prompt-builder"
+            ],
+            "id": "csv-prompt-builder",
+            "install_type": "git-clone",
+            "reference": "https://github.com/jroc22/ComfyUI-CSV-prompt-builder",
+            "title": "ComfyUI-CSV-prompt-builder"
+        },
+        {
+            "author": "DeJoker",
+            "description": "provide extra api to run prompt request with parallel execution of independent node",
+            "files": [
+                "https://github.com/DeJoker/pipeline-parallel-comfy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DeJoker/pipeline-parallel-comfy",
+            "title": "Pipeline Parallel ComfyUI"
+        },
+        {
+            "author": "yiwangsimple",
+            "description": "Content generation with open source models in comfyui via graq api implementation.\n[w/This repo is renamed from ComfyUI_GroqChat to ComfyUI_DW_CHAT. Please remove previous one and reinstall to this.]",
+            "files": [
+                "https://github.com/yiwangsimple/ComfyUI_DW_Chat"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/yiwangsimple/ComfyUI_DW_Chat",
+            "title": "ComfyUI_DW_Chat"
+        },
+        {
+            "author": "Tritant",
+            "description": "Generate random prompts easily.",
+            "files": [
+                "https://github.com/tritant/ComfyUI_CreaPrompt"
+            ],
+            "id": "creaprompt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tritant/ComfyUI_CreaPrompt",
+            "title": "ComfyUI-CreaPrompt"
+        },
+        {
+            "author": "metncelik",
+            "description": "Nodes: Primitive BBOX, BBOX Padding, BBOX Resize, ImageResize KeepRatio.",
+            "files": [
+                "https://github.com/metncelik/comfyui_met_suite"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/metncelik/comfyui_met_suite",
+            "title": "comfyui_met_suite"
+        },
+        {
+            "author": "Smuzzies",
+            "description": "Meme Maker Node for ComfyUI.",
+            "files": [
+                "https://github.com/Smuzzies/comfyui_meme_maker"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Smuzzies/comfyui_meme_maker",
+            "title": "comfyui_meme_maker"
+        },
+        {
+            "author": "bluevisor",
+            "description": "This repository contains a simple custom node for ComfyUI that implements familiar PS-style blend modes using PyTorch. The PSBlendNode allows you to blend two images together using a variety of blend modes and an opacity parameter.",
+            "files": [
+                "https://github.com/bluevisor/ComfyUI_PS_Blend_Node"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/bluevisor/ComfyUI_PS_Blend_Node",
+            "title": "ComfyUI_PS_Blend_Node"
+        },
+        {
+            "author": "wTechArtist",
+            "description": "Nodes:Image Blending Mode Mask, Load Image With Bool, IPAdapter Mad Scientist Weight_Type, IPAdapter FaceID With Bool",
+            "files": [
+                "https://github.com/wTechArtist/ComfyUI-CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wTechArtist/ComfyUI-CustomNodes",
+            "title": "ComfyUI-CustomNodes"
+        },
+        {
+            "author": "mullakhmetov",
+            "description": "ComfyS3 helpful util nodes for dynamic workflows",
+            "files": [
+                "https://github.com/mullakhmetov/comfyui_dynamic_util_nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/mullakhmetov/comfyui_dynamic_util_nodes",
+            "title": "comfyui_dynamic_util_nodes"
+        },
+        {
+            "author": "HECer",
+            "description": "The ComfyUI-FilePathCreator is a custom node extension for ComfyUI designed to generate dynamic filenames based on user-defined parameters. This node helps streamline the process of creating organized and timestamped filenames, ideal for saving output files in a structured manner.",
+            "files": [
+                "https://github.com/HECer/ComfyUI-FilePathCreator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/HECer/ComfyUI-FilePathCreator",
+            "title": "ComfyUI-FilePathCreator"
+        },
+        {
+            "author": "adigayung",
+            "description": "Auto translate all languages \u200b\u200bto english",
+            "files": [
+                "https://github.com/adigayung/ComfyUI-Translator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/adigayung/ComfyUI-Translator",
+            "title": "ComfyUI-Translator"
+        },
+        {
+            "author": "ZZXYWQ",
+            "description": "Nodes: StreamRecorder, VideoFormatConverter, ZZX_PaintsUndo",
+            "files": [
+                "https://github.com/ZZXYWQ/ComfyUI-ZZXYWQ"
+            ],
+            "id": "ZZXYWQ",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ZZXYWQ/ComfyUI-ZZXYWQ",
+            "title": "ZZX Nodes"
+        },
+        {
+            "author": "SiliconFlow",
+            "description": "[a/BizyAir](https://github.com/siliconflow/BizyAir) Comfy Nodes that can run in any environment.",
+            "files": [
+                "https://github.com/siliconflow/BizyAir"
+            ],
+            "id": "bizyair",
+            "install_type": "git-clone",
+            "reference": "https://github.com/siliconflow/BizyAir",
+            "title": "\u2601\ufe0fBizyAir Nodes"
+        },
+        {
+            "author": "BenNarum",
+            "description": "This extension provides nodes that allow experimentation with various elements (samplers, latent, activators, attenuator, scheulders, ...) of Stable Diffusion.",
+            "files": [
+                "https://github.com/BenNarum/ComfyUI_CAS"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/BenNarum/ComfyUI_CAS",
+            "title": "ComfyUI_CAS"
+        },
+        {
+            "author": "Indra's Mirror",
+            "description": "ComfyUI-Documents is a powerful extension for ComfyUI that enhances workflows with advanced document processing capabilities. It includes nodes for loading and parsing various document types (PDF, TXT, DOC, DOCX), converting PDF pages to images, splitting PDFs into individual pages, and selecting specific images from batches. Features include text extraction, image conversion, and seamless integration with existing ComfyUI projects.",
+            "files": [
+                "https://github.com/Excidos/ComfyUI-Documents"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Excidos/ComfyUI-Documents",
+            "title": "ComfyUI-Documents"
+        },
+        {
+            "author": "Indra's Mirror",
+            "description": "ComfyUI-Lumina-Next-SFT-DiffusersWrapper is a custom node for ComfyUI that integrates the advanced Lumina-Next-SFT model. It offers high-quality image generation with features like time-aware scaling, optional ODE sampling, and support for high-resolution outputs. This node brings the power of the Lumina text-to-image pipeline directly into ComfyUI workflows, allowing for flexible and powerful image generation capabilities.",
+            "files": [
+                "https://github.com/Excidos/ComfyUI-Lumina-Next-SFT-DiffusersWrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Excidos/ComfyUI-Lumina-Next-SFT-DiffusersWrapper",
+            "title": "ComfyUI-Lumina-Next-SFT-DiffusersWrapper"
+        },
+        {
+            "author": "Expo",
+            "description": "A custom node for ComfyUI that integrates LM Studio's vision models to generate text descriptions of images. It provides a flexible and customizable way to add image-to-text capabilities to your ComfyUI workflows, working with LM Studio's local API.",
+            "files": [
+                "https://github.com/mattjohnpowell/comfyui-lmstudio-image-to-text-node"
+            ],
+            "id": "comfyui-lmstudio-image-to-text-node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mattjohnpowell/comfyui-lmstudio-image-to-text-node",
+            "title": "LM Studio Image to Text Node for ComfyUI"
+        },
+        {
+            "author": "injet-zhou",
+            "description": "Add more endpoints to make easy for utilizing ComfyUI API.",
+            "files": [
+                "https://github.com/injet-zhou/comfyui_extra_api"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/injet-zhou/comfyui_extra_api",
+            "title": "comfyui_extra_api"
+        },
+        {
+            "author": "leestuartx",
+            "description": "ComfyUI-GG is a collection of ComfyUI nodes designed to enhance productivity in image processing workflows. This plugin provides a set of custom nodes that perform various image manipulations and metadata extractions to streamline your tasks.",
+            "files": [
+                "https://github.com/leestuartx/ComfyUI-GG"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leestuartx/ComfyUI-GG",
+            "title": "ComfyUI-GG"
+        },
+        {
+            "author": "mgfxer",
+            "description": "A set of custom nodes for frame interpolation and video processing in ComfyUI.",
+            "files": [
+                "https://github.com/mgfxer/ComfyUI-FrameFX"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/mgfxer/ComfyUI-FrameFX",
+            "title": "ComfyUI-FrameFX"
+        },
+        {
+            "author": "Cyberschorsch",
+            "description": "Provides a custom node to load config for sampler nodes from a yaml file.",
+            "files": [
+                "https://github.com/Cyberschorsch/ComfyUI-checkpoint-config-loader"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Cyberschorsch/ComfyUI-checkpoint-config-loader",
+            "title": "ComfyUI Checkpoint Loader Config"
+        },
+        {
+            "author": "fearnworks",
+            "description": "This extension provides various nodes to support multimodal workflows.",
+            "files": [
+                "https://github.com/fearnworks/ComfyUI_FearnworksNodes"
+            ],
+            "id": "fearnworks",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fearnworks/ComfyUI_FearnworksNodes",
+            "title": "Fearnworks Nodes"
+        },
+        {
+            "author": "3D-MeshTool",
+            "description": "A simple 3D model processing tool within ComfyUI.",
+            "files": [
+                "https://github.com/807502278/ComfyUI-3D-MeshTool"
+            ],
+            "id": "3D-MeshTool",
+            "install_type": "git-clone",
+            "reference": "https://github.com/807502278/ComfyUI-3D-MeshTool",
+            "title": "ComfyUI-3D-MeshTool"
+        },
+        {
+            "author": "JackEllie",
+            "description": "ComfyUI native implementation of [a/AI-Assistant](https://github.com/tori29umai0123/AI-Assistant).",
+            "files": [
+                "https://github.com/JackEllie/ComfyUI_AI_Assistant"
+            ],
+            "id": "AI-Assistant",
+            "install_type": "git-clone",
+            "reference": "https://github.com/JackEllie/ComfyUI_AI_Assistant",
+            "title": "ComfyUI-AI-Assistant"
+        },
+        {
+            "author": "APZmedia",
+            "description": "A custom node to sanitize text to make clean file names from strings.",
+            "files": [
+                "https://github.com/APZmedia/ComfyUI-APZmedia-cleanName-from-string"
+            ],
+            "id": "clean-filename",
+            "install_type": "git-clone",
+            "reference": "https://github.com/APZmedia/ComfyUI-APZmedia-cleanName-from-string",
+            "title": "APZmedia Clean Name"
+        },
+        {
+            "author": "N3rd00d",
+            "description": "Paint3D Nodes is a custom ComfyUI node for 3D model texture inpainting based on [a/Paint3D](https://arxiv.org/pdf/2312.13913).",
+            "files": [
+                "https://github.com/N3rd00d/ComfyUI-Paint3D-Nodes"
+            ],
+            "id": "paint3d",
+            "install_type": "git-clone",
+            "reference": "https://github.com/N3rd00d/ComfyUI-Paint3D-Nodes",
+            "title": "ComfyUI-Paint3D-Nodes"
+        },
+        {
+            "author": "sn0w12",
+            "description": "A collection of nodes and improvements created for general ease and lora management. These are just nodes I made and found useful, they should work with most other nodes. Most nodes that take in a prompt are made with booru tags in mind and might not work as expected with other prompts.",
+            "files": [
+                "https://github.com/sn0w12/ComfyUI-Sn0w-Scripts"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/sn0w12/ComfyUI-Sn0w-Scripts",
+            "title": "ComfyUI-Sn0w-Scripts"
+        },
+        {
+            "author": "MiaoshouAI",
+            "description": "Nodes to use Florence2 VLM for image tagging and captioning",
+            "files": [
+                "https://github.com/miaoshouai/ComfyUI-Miaoshouai-Tagger"
+            ],
+            "id": "miaoshouai-tagger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/miaoshouai/ComfyUI-Miaoshouai-Tagger",
+            "title": "ComfyUI-Miaoshouai-Tagger"
+        },
+        {
+            "author": "Patricio Gonzalez Vivo",
+            "description": "A collections of nodes to support GLSL shaders inside a workflow.",
+            "files": [
+                "https://github.com/patriciogonzalezvivo/comfyui_glslnodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/patriciogonzalezvivo/comfyui_glslnodes",
+            "title": "GLSL Nodes"
+        },
+        {
+            "author": "2kpr",
+            "description": "Implementation of UltraPixel on ComfyUI",
+            "files": [
+                "https://github.com/2kpr/ComfyUI-UltraPixel"
+            ],
+            "id": "comfyui-ultrapixel",
+            "install_type": "git-clone",
+            "reference": "https://github.com/2kpr/ComfyUI-UltraPixel",
+            "title": "ComfyUI-UltraPixel"
+        },
+        {
+            "author": "LightSketch-ai",
+            "description": "Two simple to install nodes to get Live Portrait working in ComfyUI without the need for a fancy GPU (Replicate account needed).",
+            "files": [
+                "https://github.com/LightSketch-ai/ComfyUI-LivePortraitNode"
+            ],
+            "id": "lightsketchlp",
+            "install_type": "git-clone",
+            "reference": "https://github.com/LightSketch-ai/ComfyUI-LivePortraitNode",
+            "title": "ComfyUI-LivePortraitNode (Replicate API)"
+        },
+        {
+            "author": "aaronchm",
+            "description": "Improved DanTagGen implementation that posesses all functionality of the A1111 webui extension.",
+            "files": [
+                "https://github.com/Aaron-CHM/ComfyUI-z-a1111-sd-webui-DanTagGen"
+            ],
+            "id": "z-a1111-sd-webui-DanTagGen",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Aaron-CHM/ComfyUI-z-a1111-sd-webui-DanTagGen",
+            "title": "z-a1111-sd-webui-DanTagGen"
+        },
+        {
+            "author": "mikebilly",
+            "description": "Removes background using Transparent Background",
+            "files": [
+                "https://github.com/mikebilly/Transparent-background-comfyUI"
+            ],
+            "id": "transparent-background-comfyui",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mikebilly/Transparent-background-comfyUI",
+            "title": "Transparent-background-comfyUI"
+        },
+        {
+            "author": "un-seen",
+            "description": "Nodes to perform tensor operations in ComfyUI",
+            "files": [
+                "https://github.com/un-seen/comfyui-tensorops"
+            ],
+            "id": "comfyui-tensorop",
+            "install_type": "git-clone",
+            "reference": "https://github.com/un-seen/comfyui-tensorops",
+            "title": "comfyui-tensorop"
+        },
+        {
+            "author": "un-seen",
+            "description": "This project is a ComfyUI version of [a/sd-webui-segment-anything](https://github.com/continue-revolution/sd-webui-segment-anything). At present, only the most core functionalities have been implemented. I would like to express my gratitude to [a/continue-revolution](https://github.com/continue-revolution) for their preceding work on which this is based.",
+            "files": [
+                "https://github.com/un-seen/comfyui_segment_anything_plus"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/un-seen/comfyui_segment_anything_plus",
+            "title": "ComfyUI Segment Anything"
+        },
+        {
+            "author": "john-mnz",
+            "description": "ComfyUI node for background removal, implementing [a/InSPyReNet](https://github.com/plemeri/InSPyReNet)",
+            "files": [
+                "https://github.com/john-mnz/ComfyUI-Inspyrenet-Rembg"
+            ],
+            "id": "inspyrenet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/john-mnz/ComfyUI-Inspyrenet-Rembg",
+            "title": "ComfyUI-Inspyrenet-Rembg"
+        },
+        {
+            "author": "Koushakur",
+            "description": "The latent gets passed straight through unaltered, if it's empty (i.e from a 'Empty Latent Image' node) FLOAT outputs the first value, otherwise it outputs the second value",
+            "files": [
+                "https://github.com/Koushakur/ComfyUI-DenoiseChooser"
+            ],
+            "id": "denoise-chooser",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Koushakur/ComfyUI-DenoiseChooser",
+            "title": "ComfyUI-DenoiseChooser"
+        },
+        {
+            "author": "ycchanau",
+            "description": "Custom nodes that preview image with a magnifier.",
+            "files": [
+                "https://github.com/ycchanau/ComfyUI_Preview_Magnifier"
+            ],
+            "id": "magnifier",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ycchanau/ComfyUI_Preview_Magnifier",
+            "title": "ComfyUI Preview Magnifier"
+        },
+        {
+            "author": "lrzjason",
+            "description": "Nodes: Save Weight As Kolors Unet, Save Kolors",
+            "files": [
+                "https://github.com/lrzjason/Comfyui-Kolors-Utils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lrzjason/Comfyui-Kolors-Utils",
+            "title": "Comfyui Kolors Utils"
+        },
+        {
+            "author": "lrzjason",
+            "description": "Nodes:SDXLMixSampler, LatentByRatio",
+            "files": [
+                "https://github.com/lrzjason/ComfyUIJasonNode/raw/main/SDXLMixSampler.py",
+                "https://github.com/lrzjason/ComfyUIJasonNode/raw/main/LatentByRatio.py",
+                ""
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/lrzjason/ComfyUIJasonNode",
+            "title": "ComfyUIJasonNode"
+        },
+        {
+            "author": "amorano",
+            "description": "Post images and video to Discord. Nodes to facilitate communication using REST.",
+            "files": [
+                "https://github.com/cozy-comfyui/cozy_comm"
+            ],
+            "id": "cozy_comm",
+            "install_type": "git-clone",
+            "nodename_pattern": " \\(cozy\\)",
+            "reference": "https://github.com/cozy-comfyui/cozy_comm",
+            "title": "Cozy Communication"
+        },
+        {
+            "author": "ShmuelRonen",
+            "description": "A custom node for ComfyUI that enables smooth, keyframe-based animations for image generation. Create dynamic sequences with control over motion, zoom, rotation, and easing effects. Ideal for AI-assisted animation and video content creation.",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI-AstralAnimator"
+            ],
+            "id": "astralanimator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI-AstralAnimator",
+            "title": "ComfyUI-AstralAnimator"
+        },
+        {
+            "author": "RhizoNymph",
+            "description": "Nodes to use [a/latte](https://github.com/Vchitect/Latte) for text to video generation",
+            "files": [
+                "https://github.com/RhizoNymph/ComfyUI-Latte"
+            ],
+            "id": "latte",
+            "install_type": "git-clone",
+            "reference": "https://github.com/RhizoNymph/ComfyUI-Latte",
+            "title": "ComfyUI-Latte"
+        },
+        {
+            "author": "RhizoNymph",
+            "description": "A node to replicate [a/https://huggingface.co/spaces/latentexplorers/latentnavigation-flux](A node to replicate https://huggingface.co/spaces/latentexplorers/latentnavigation-flux)",
+            "files": [
+                "https://github.com/RhizoNymph/ComfyUI-Latte"
+            ],
+            "id": "clipslider",
+            "install_type": "git-clone",
+            "reference": "https://github.com/RhizoNymph/ComfyUI-Latte",
+            "title": "ComfyUI-CLIPSlider"
+        },
+        {
+            "author": "Marksusu",
+            "description": "MTCLIPEncode: An extension for ComfyUI's CLIPTextEncode node, offering multilingual translation (using MarianMT) and prompt enhancement (using Ollama). Seamlessly translate your native language prompts into English and further optimize them for generating your desired images with Stable Diffusion. Supports Krita AI Diffusion.",
+            "files": [
+                "https://github.com/Marksusu/ComfyUI_MTCLIPEncode"
+            ],
+            "id": "mtclipencode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Marksusu/ComfyUI_MTCLIPEncode",
+            "title": "ComfyUI_MTCLIPEncode"
+        },
+        {
+            "author": "fssorc",
+            "description": "Match two faces' shape before using other face swap nodes\nFace-swapping tools typically only replace facial features during the swap, without altering the facial shape. When there is a significant difference in facial shape between the target person and the person in the original photo, the result of the face swap is less satisfactory.\nThis project is a small script that can first liquefy and stretch the face in the original photo according to the horizontal and vertical proportions of the target person's facial contour. The resulting image can be used as input for other face-swapping nodes.",
+            "files": [
+                "https://github.com/fssorc/ComfyUI_FaceShaper"
+            ],
+            "id": "facesharper",
+            "install_type": "git-clone",
+            "reference": "https://github.com/fssorc/ComfyUI_FaceShaper",
+            "title": "ComfyUI_FaceShaper"
+        },
+        {
+            "author": "BetaDoggo",
+            "description": "Just a simple node to filter out NSFW outputs. This node utilizes [a/AdamCodd/vit-base-nsfw-detector](https://huggingface.co/AdamCodd/vit-base-nsfw-detector) to score the outputs. I chose this model because it's small, fast, and performed very well in my testing. Nudity tends to be scored in the 0.95+ range, but I've set the default to 0.8 as a safe baseline.",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-YetAnotherSafetyChecker"
+            ],
+            "id": "yetanothersafetychecker",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-YetAnotherSafetyChecker",
+            "title": "ComfyUI YetAnotherSafetyChecker"
+        },
+        {
+            "author": "BetaDoggo",
+            "description": "100% of code taken from [a/https://gist.github.com/neggles/ecb6327251a9e274428d07636c727eb9](https://gist.github.com/neggles/ecb6327251a9e274428d07636c727eb9).",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-WDV-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-WDV-Nodes",
+            "title": "neggles/ComfyUI-WDV-Nodes [gist-wrapper]"
+        },
+        {
+            "author": "BetaDoggo",
+            "description": "A silly POC Video Player for ComfyUI",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-VideoPlayer"
+            ],
+            "id": "videoplayer",
+            "install_type": "git-clone",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-VideoPlayer",
+            "title": "ComfyUI Video Player"
+        },
+        {
+            "author": "BetaDoggo",
+            "description": "A revolutionary technique for increasing output variety.",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding",
+            "title": "Gatcha Embeddings"
+        },
+        {
+            "author": "WX-NPS1598",
+            "description": "A very useful automatic cropping tool! It can realize cropping, expansion and rotation functions in the form of a slider. ",
+            "files": [
+                "https://github.com/WX-NPS1598/ComfyUI-Auto_Crop_By_NPS"
+            ],
+            "id": "autocrop-nps",
+            "install_type": "git-clone",
+            "reference": "https://github.com/WX-NPS1598/ComfyUI-Auto_Crop_By_NPS",
+            "title": "Auto Crop By NPS"
+        },
+        {
+            "author": "googincheng",
+            "description": "Better user experience plugin for ComfyUI.",
+            "files": [
+                "https://github.com/googincheng/ComfyUX"
+            ],
+            "id": "comfyux",
+            "install_type": "git-clone",
+            "reference": "https://github.com/googincheng/ComfyUX",
+            "title": "ComfyUX"
+        },
+        {
+            "author": "wootwootwootwoot",
+            "description": "Batched Runge-Kutta Samplers for ComfyUI",
+            "files": [
+                "https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler"
+            ],
+            "id": "rk_sampler",
+            "install_type": "git-clone",
+            "reference": "https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler",
+            "title": "ComfyUI-RK-Sampler"
+        },
+        {
+            "author": "TechnoByteJS",
+            "description": "ComfyUI nodes for merging, testing and more.\nNOTE: SDNext Merge, VAE Merge, MBW Layers, Repeat VAE, Quantization.",
+            "files": [
+                "https://github.com/TechnoByteJS/ComfyUI-TechNodes"
+            ],
+            "id": "technodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/TechnoByteJS/ComfyUI-TechNodes",
+            "title": "TechNodes"
+        },
+        {
+            "author": "Fantasy AI Studio",
+            "description": "Various custom nodes for ComfyUI",
+            "files": [
+                "https://github.com/alanhuang67/ComfyUI-FAI-Node"
+            ],
+            "id": "FAI-Node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alanhuang67/ComfyUI-FAI-Node",
+            "title": "FAI-Node"
+        },
+        {
+            "author": "MuziekMagie",
+            "description": "A [a/Matchering](https://github.com/sergree/matchering)-node for ComfyUI.\nNOTE: You take TWO audio files and feed them into Matchering",
+            "files": [
+                "https://github.com/MuziekMagie/ComfyUI-Matchering"
+            ],
+            "id": "matchering",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MuziekMagie/ComfyUI-Matchering",
+            "title": "ComfyUI-Matchering"
+        },
+        {
+            "author": "filliptm",
+            "description": "Train Image Loras on both sd1.5 and SDXL. This repo git clones the pieces needed to train. It pops open a second terminal window do do the training. It will also display the inference samples in the node itself so you can track the results.",
+            "files": [
+                "https://github.com/filliptm/ComfyUI_FL-Trainer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/filliptm/ComfyUI_FL-Trainer",
+            "title": "ComfyUI_FL-Trainer"
+        },
+        {
+            "author": "Mintbeer96",
+            "description": "An OCR node for detect text in image and returns covering mask.",
+            "files": [
+                "https://github.com/Mintbeer96/ComfyUI-KerasOCR"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Mintbeer96/ComfyUI-KerasOCR",
+            "title": "ComfyUI-KerasOCR"
+        },
+        {
+            "author": "pikenrover",
+            "description": "Nodes:RandomPrompt, RandomPromptMixed, ImageScaleTo, EmptyLatentImageScaleBy, LoraLoaderExtended, Save Image w/Metadata, CheckpointLoaderSimpleExtended",
+            "files": [
+                "https://github.com/pikenrover/ComfyUI_PRNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/pikenrover/ComfyUI_PRNodes",
+            "title": "ComfyUI_PRNodes"
+        },
+        {
+            "author": "EnragedAntelope",
+            "description": "This custom node for ComfyUI allows you to use the Doubutsu small VLM model to describe images. Credit and further information on Doubutsu: [a/https://huggingface.co/qresearch/doubutsu-2b-pt-756](https://huggingface.co/qresearch/doubutsu-2b-pt-756)",
+            "files": [
+                "https://github.com/EnragedAntelope/ComfyUI-Doubutsu-Describer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/EnragedAntelope/ComfyUI-Doubutsu-Describer",
+            "title": "ComfyUI-Doubutsu-Describer"
+        },
+        {
+            "author": "jn-jairo",
+            "description": "ComfyUI extension with patches and nodes.\nPatches:Preview device, Extension device, Temperature, Memory estimation, Optimizations, Easy generic inputs, Easy multiple inputs.\nNODES: Image nodes, Image/Area nodes, Image/Blip nodes, Image/Face nodes, Sampling nodes, Patch nodes, Primitive nodes, Primitive/Conversion nodes, Primitive/Process nodes, Workflow nodes, etc...",
+            "files": [
+                "https://github.com/jn-jairo/jn_comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jn-jairo/jn_comfyui",
+            "title": "JNComfy"
+        },
+        {
+            "author": "akierson",
+            "description": "Basic Color Nodes for ComfyUI",
+            "files": [
+                "https://github.com/akierson/comfyui-colornodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/akierson/comfyui-colornodes",
+            "title": "comfyui-colornodes"
+        },
+        {
+            "author": "akierson",
+            "description": "Misc Text Nodes for Comfy UI",
+            "files": [
+                "https://github.com/akierson/ComfyUI-textnodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/akierson/ComfyUI-textnodes",
+            "title": "ComfyUI-textnodes"
+        },
+        {
+            "author": "ai-shizuka",
+            "description": "Nodes:ImageLoader, ImageSaver, ImagesSaver, ImageResize, ImageSize.",
+            "files": [
+                "https://github.com/ai-shizuka/ComfyUI-tbox"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ai-shizuka/ComfyUI-tbox",
+            "title": "ComfyUI-tbox"
+        },
+        {
+            "author": "neverbiasu",
+            "description": "A ComfyUI extension for generating captions for your images. Runs on your own system, no external services used, no filter.\nUses various VLMs with APIs to generate captions for images. You can give instructions or ask questions in natural language.",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-Image-Captioner"
+            ],
+            "id": "image-captioner",
+            "install_type": "git-clone",
+            "reference": "https://github.com/neverbiasu/ComfyUI-Image-Captioner",
+            "title": "ComfyUI-Image-Captioner"
+        },
+        {
+            "author": "neverbiasu",
+            "description": "This project adapts the SAM2 to incorporate functionalities from [a/comfyui_segment_anything](https://github.com/storyicon/comfyui_segment_anything). Many thanks to continue-revolution for their foundational work.",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-SAM2"
+            ],
+            "id": "sam2",
+            "install_type": "git-clone",
+            "reference": "https://github.com/neverbiasu/ComfyUI-SAM2",
+            "title": "ComfyUI SAM2(Segment Anything 2)"
+        },
+        {
+            "author": "DriftJohnson",
+            "description": "AspectSize and other nodes",
+            "files": [
+                "https://github.com/MushroomFleet/DJZ-Nodes"
+            ],
+            "id": "DJZ-Nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MushroomFleet/DJZ-Nodes",
+            "title": "DJZ-Nodes"
+        },
+        {
+            "author": "var1ableX",
+            "description": "Get Mask Dimensions",
+            "files": [
+                "https://github.com/var1ableX/ComfyUI_Accessories"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/var1ableX/ComfyUI_Accessories",
+            "title": "ComfyUI_Accessories"
+        },
+        {
+            "author": "Makki_Shizu",
+            "description": "a simple reimgsize node(s) in comfyui.",
+            "files": [
+                "https://github.com/MakkiShizu/comfyui_reimgsize"
+            ],
+            "id": "reimgsize",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MakkiShizu/comfyui_reimgsize",
+            "title": "comfyui_reimgsize"
+        },
+        {
+            "author": "JosefKuchar",
+            "description": "Advanced tiling of various shapes for ComfyUI",
+            "files": [
+                "https://github.com/JosefKuchar/ComfyUI-AdvancedTiling"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/JosefKuchar/ComfyUI-AdvancedTiling",
+            "title": "ComfyUI-AdvancedTiling"
+        },
+        {
+            "author": "Fuou Marinas",
+            "description": "Run EbSynth, Fast Example-based Image Synthesis and Style Transfer, in ComfyUI.",
+            "files": [
+                "https://github.com/FuouM/ComfyUI-EbSynth"
+            ],
+            "id": "comfyEbsynth",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FuouM/ComfyUI-EbSynth",
+            "title": "ComfyUI-EbSynth"
+        },
+        {
+            "author": "Parameshvadivel",
+            "description": "Nodes:Preview SVG",
+            "files": [
+                "https://github.com/Parameshvadivel/ComfyUI-SVGview"
+            ],
+            "id": "svgview",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Parameshvadivel/ComfyUI-SVGview",
+            "title": "ComfyUI-SVGview"
+        },
+        {
+            "author": "Visionatrix",
+            "description": "The ComfyUI-Visionatrix nodes are designed for convenient ComfyUI to [a/Visionatrix](https://github.com/Visionatrix/Visionatrix) workflow support migration, in particular to extract prompt input params (input, textarea, checkbox, select, range, file) to be used in simplified Visionatrix UI.",
+            "files": [
+                "https://github.com/Visionatrix/ComfyUI-Visionatrix"
+            ],
+            "id": "visionatrix",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Visionatrix/ComfyUI-Visionatrix",
+            "title": "ComfyUI-Visionatrix"
+        },
+        {
+            "author": "liangt",
+            "description": "Extend LoadImage node with subfolder support",
+            "files": [
+                "https://github.com/liangt/comfyui-loadimagewithsubfolder"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/liangt/comfyui-loadimagewithsubfolder",
+            "title": "comfyui-loadimagewithsubfolder"
+        },
+        {
+            "author": "vault-developer",
+            "description": "ComfyuiImageBlender is a custom node for ComfyUI. It may be used to blend two images together using a specified blending mode.",
+            "files": [
+                "https://github.com/vault-developer/comfyui-image-blender"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/vault-developer/comfyui-image-blender",
+            "title": "ImageBlender"
+        },
+        {
+            "author": "gisu",
+            "description": "Collection of nodes for the automation of workflows",
+            "files": [
+                "https://github.com/gisu/comfyui-foxpack"
+            ],
+            "id": "foxp",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gisu/comfyui-foxpack",
+            "title": "foxpack"
+        },
+        {
+            "author": "webfiltered",
+            "description": "This node provides a simple way to view the output of many nodes, without leaving ComfyUI.",
+            "files": [
+                "https://github.com/webfiltered/DebugNode-ComfyUI"
+            ],
+            "id": "debugnode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/webfiltered/DebugNode-ComfyUI",
+            "title": "WTF? - a debug node for ComfyUI"
+        },
+        {
+            "author": "pzc163",
+            "description": "Comfyui-CatVTON This repository is the modified official Comfyui node of CatVTON, which is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).\nThe original GitHub project is [a/https://github.com/Zheng-Chong/CatVTON](https://github.com/Zheng-Chong/CatVTON)",
+            "files": [
+                "https://github.com/pzc163/Comfyui-CatVTON"
+            ],
+            "id": "comfyui-catvton",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pzc163/Comfyui-CatVTON",
+            "title": "Comfyui-CatVTON"
+        },
+        {
+            "author": "pzc163",
+            "description": "This is an implementation of [MiniCPMv2_6-prompt-generator](https://huggingface.co/pzc163/MiniCPMv2_6-prompt-generator) by [ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for single-image caption, generate prompt by upload image and batch-images Prompt generation.",
+            "files": [
+                "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator"
+            ],
+            "id": "Comfyui_MiniCPMv2_6-prompt-generator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator",
+            "title": "Comfyui_MiniCPMv2_6-prompt-generator"
+        },
+        {
+            "author": "aisabervisionlab",
+            "description": "This is a simple node for connecting images. For pictures of the same size, users can choose to fill in vertical in the parameter to connect the pictures vertically or fill in horizontal to connect the pictures horizontally.",
+            "files": [
+                "https://github.com/aisabervisionlab/ComfyUI_merge_ASVL"
+            ],
+            "id": "merge-asvl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aisabervisionlab/ComfyUI_merge_ASVL",
+            "title": "ComfyUI_merge_ASVL"
+        },
+        {
+            "author": "akatz-ai",
+            "description": "Simple custom node pack for nodes I use in my workflows. Includes Dilate Mask Linear for animating masks.",
+            "files": [
+                "https://github.com/akatz-ai/ComfyUI-AKatz-Nodes"
+            ],
+            "id": "akatz-ai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/akatz-ai/ComfyUI-AKatz-Nodes",
+            "title": "Akatz Custom Nodes"
+        },
+        {
+            "author": "teward",
+            "description": "ComfyUI custom node that activates integration with a Sentry instance for loading. Has no actual nodes.",
+            "files": [
+                "https://github.com/teward/Comfy-Sentry"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/teward/Comfy-Sentry",
+            "title": "Comfy-Sentry"
+        },
+        {
+            "author": "Fuou Marinas",
+            "description": "A collection of ComfyUI nodes. Including: WFEN, RealViFormer, ProPIH",
+            "files": [
+                "https://github.com/FuouM/FM_nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/FuouM/FM_nodes",
+            "title": "FM_nodes"
+        },
+        {
+            "author": "Fuou Marinas",
+            "description": "Run [a/First Order Motion Model](https://github.com/AliaksandrSiarohin/first-order-model) for Image Animation in ComfyUI.",
+            "files": [
+                "https://github.com/FuouM/ComfyUI-FirstOrderMM"
+            ],
+            "id": "fomm",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FuouM/ComfyUI-FirstOrderMM",
+            "title": "ComfyUI-FirstOrderMM"
+        },
+        {
+            "author": "Fuou Marinas",
+            "description": "Nodes:Neural Neighbor, CAST, EFDM, MicroAST, Coral Color Transfer.",
+            "files": [
+                "https://github.com/FuouM/ComfyUI-StyleTransferPlus"
+            ],
+            "id": "styletransferplus",
+            "install_type": "git-clone",
+            "reference": "https://github.com/FuouM/ComfyUI-StyleTransferPlus",
+            "title": "ComfyUI-StyleTransferPlus"
+        },
+        {
+            "author": "MiddleKD",
+            "description": "ComfyUI's Smart Memory Management efficiently manages RAM, GPU memory, and garbage collection. This feature keeps frequently used models in memory to increase inference speed, and dynamically releases less important models when memory is low to optimize resources. However, not all ComfyUI custom node developers create nodes that are compatible with Smart memory management. This includes several impressive models. Mem-safe-wrapper is a custom node that wraps these model nodes to enable ComfyUI's Smart memory management capabilities.",
+            "files": [
+                "https://github.com/MiddleKD/ComfyUI-mem-safe-wrapper"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MiddleKD/ComfyUI-mem-safe-wrapper",
+            "title": "ComfyUI-mem-safe-wrapper"
+        },
+        {
+            "author": "MiddleKD",
+            "description": "This is a ComfyUI custom node that helps generate images while preserving the text, logos, and details of e-commerce products.",
+            "files": [
+                "https://github.com/MiddleKD/ComfyUI-productfix"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MiddleKD/ComfyUI-productfix",
+            "title": "ComfyUI-productfix"
+        },
+        {
+            "author": "PowerHouseMan",
+            "description": "AdvancedLivePortrait with Facial expression editor",
+            "files": [
+                "https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait"
+            ],
+            "id": "advancedliveportrait",
+            "install_type": "git-clone",
+            "reference": "https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait",
+            "title": "ComfyUI-AdvancedLivePortrait"
+        },
+        {
+            "author": "cdxOo",
+            "description": "multiline text node that strips c-style comments (i.e.'//' and '/* ... */') before passing output string downstream",
+            "files": [
+                "https://github.com/cdxOo/comfyui-text-node-with-comments"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/cdxOo/comfyui-text-node-with-comments",
+            "title": "Text Node With Comments (@cdxoo)"
+        },
+        {
+            "author": "noarche",
+            "description": "Script for [a/AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) and node for ComfyUI to enhance colors.\nThis is the same algorithm GIMP/GEGL uses for color enhancement. The gist of this implementation is that it converts the color space to [CIELCh(ab) and normalizes the chroma (or '[a/colorfulness](https://en.wikipedia.org/wiki/Colorfulness)') component. Original source can be found in the link below.",
+            "files": [
+                "https://github.com/noarche/sd-webui-color-enhance"
+            ],
+            "id": "color-enhance",
+            "install_type": "git-clone",
+            "reference": "https://github.com/noarche/sd-webui-color-enhance",
+            "title": "noarche/Color Enhance"
+        },
+        {
+            "author": "emojiiii",
+            "description": "Nodes:MultiTextEncode, KolorsMultiTextEncode, Caption, BatchImageProcessor",
+            "files": [
+                "https://github.com/emojiiii/ComfyUI_Emojiiii_Custom_Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/emojiiii/ComfyUI_Emojiiii_Custom_Nodes",
+            "title": "ComfyUI_Emojiiii_Custom_Nodes"
+        },
+        {
+            "author": "aonekoss",
+            "description": "A simple counter, when pressing 'Queue Prompt' resets the count.",
+            "files": [
+                "https://github.com/oleksandr612/ComfyUI-Counter"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/oleksandr612/ComfyUI-Counter",
+            "title": "ComfyUI-Counter"
+        },
+        {
+            "author": "syaofox",
+            "description": "Nodes:BatchImageFromList, Load Face Occlusion Model, Create Face Mask, Simple FaceAlign, Cacul FaceAlign, Gen Blurbord, Face Align, Face Rotate, ImageAdd, LoadImageList, SaveImage Plus, RegTextFind",
+            "files": [
+                "https://github.com/syaofox/ComfyUI_FoxTools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/syaofox/ComfyUI_FoxTools",
+            "title": "ComfyUI_FoxTools"
+        },
+        {
+            "author": "alpertunga-bile",
+            "description": "Using image caption models to extract prompts in ComfyUI",
+            "files": [
+                "https://github.com/alpertunga-bile/image-caption-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/alpertunga-bile/image-caption-comfyui",
+            "title": "image-caption-comfyui"
+        },
+        {
+            "author": "Anibaaal",
+            "description": "Nodes: Easy Resolution Picker, Save Diffusion Model, Load Checkpoint BNB On the fly, Load UNET BNB On the fly",
+            "files": [
+                "https://github.com/Anibaaal/ComfyUI-UX-Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Anibaaal/ComfyUI-UX-Nodes",
+            "title": "ComfyUI UX Nodes"
+        },
+        {
+            "author": "NMWave",
+            "description": "A small set of useful nodes which aid with the tagging process by splitting tags and strings, alternating tags from multiple sources and removing duplicates.",
+            "files": [
+                "https://github.com/NMWave/ComfyUI-Nader-Tagging"
+            ],
+            "id": "naderimagecaptionandtag",
+            "install_type": "git-clone",
+            "reference": "https://github.com/NMWave/ComfyUI-Nader-Tagging",
+            "title": "Image Captioning and Tagging Assistor Nodes"
+        },
+        {
+            "author": "caleboleary",
+            "description": "This ComfyUI node library builds upon the work done to train the [a/Arc2Face](https://github.com/foivospar/Arc2Face) model by foivospar. It provides a set of nodes for ComfyUI that allow users to extract face embeddings, generate images based on these embeddings, and perform image-to-image transformations.",
+            "files": [
+                "https://github.com/caleboleary/ComfyUI-Arc2Face"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/caleboleary/ComfyUI-Arc2Face",
+            "title": "Arc2Face ComfyUI Node Library"
+        },
+        {
+            "author": "GeekyGhost",
+            "description": "GeekyRemB is a powerful and versatile image processing node for ComfyUI, designed to remove backgrounds from images with advanced customization options. This node leverages the rembg library and offers a wide range of features for fine-tuning the background removal process and enhancing the resulting images.",
+            "files": [
+                "https://github.com/GeekyGhost/ComfyUI-GeekyRemB"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/GeekyGhost/ComfyUI-GeekyRemB",
+            "title": "ComfyUI-GeekyRemB"
+        },
+        {
+            "author": "Dobidop",
+            "description": "Two simple nodes for stereoscopic image generation. Nodes: Stereo Image Node - a basic port from the Automatic1111 stereo script in thygate/stable-diffusion-webui-depthmap-script, LazyStereo - a na\u00efve stereo image generator",
+            "files": [
+                "https://github.com/Dobidop/ComfyStereo"
+            ],
+            "id": "simple-stereoscopic",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Dobidop/ComfyStereo",
+            "title": "Dobidop ComfyStereo"
+        },
+        {
+            "author": "SeniorPioner",
+            "description": "Node Pack: PromptChecker for token toggling, KoboldCPP API, ModelMerging, Telegram-Bot-API, and more",
+            "files": [
+                "https://github.com/bananasss00/ComfyUI-SP-Nodes"
+            ],
+            "id": "spnodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/bananasss00/ComfyUI-SP-Nodes",
+            "title": "SP-Nodes"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI for [a/M3Net](https://github.com/I2-Multimedia-Lab/M3Net)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_M3Net"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_M3Net",
+            "title": "ComfyUI_M3Net"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI for [a/InternVL](https://github.com/OpenGVLab/InternVL)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_InternVL2"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_InternVL2",
+            "title": "ComfyUI_InternVL2"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI for [a/LLaSM](https://huggingface.co/spaces/LinkSoul/LLaSM)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_LLaSM"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_LLaSM",
+            "title": "ComfyUI_LLaSM"
+        },
+        {
+            "author": "leeguandong",
+            "description": "Nodes:Load Video to Images, Image to Canny, ControlNet Model Loader, VEDit Model Loader, VEdit Sampler. [a/https://github.com/SingleZombie/DiffusersExample/tree/main/ReplaceAttn](https://github.com/SingleZombie/DiffusersExample/tree/main/ReplaceAttn)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_VideoEditing"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_VideoEditing",
+            "title": "ComfyUI nodes to use VideoEditing"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI for [a/CrossImageAttention](https://github.com/garibida/cross-image-attention)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_CrossImageAttention"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_CrossImageAttention",
+            "title": "ComfyUI nodes to use CrossImageAttention"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI for [a/style-aligned](https://github.com/google/style-aligned)",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_Style_Aligned"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_Style_Aligned",
+            "title": "ComfyUI nodes to use Style-Aligned"
+        },
+        {
+            "author": "leeguandong",
+            "description": "NODES:HF ModelLoader, Show Images, Text2Image Inference, Decode Latent, Show CrossAttn Map, Show SelfAttn Map",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_VisualAttentionMap"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_VisualAttentionMap",
+            "title": "ComfyUI_VisualAttentionMap"
+        },
+        {
+            "author": "leeguandong",
+            "description": "ComfyUI nodes to use MasaCtrl",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_MasaCtrl"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/leeguandong/ComfyUI_MasaCtrl",
+            "title": "ComfyUI nodes to use MasaCtrl"
+        },
+        {
+            "author": "lenskikh",
+            "description": "Node:Prompt Worker. A text manipulation node for postprocessing of prompt.",
+            "files": [
+                "https://github.com/lenskikh/ComfyUI-Prompt-Worker"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lenskikh/ComfyUI-Prompt-Worker",
+            "title": "Propmt Worker"
+        },
+        {
+            "author": "kappa54",
+            "description": "Custom nodes intended to improve usability.",
+            "files": [
+                "https://github.com/kappa54m/ComfyUI_Usability"
+            ],
+            "id": "comfyui_usability",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kappa54m/ComfyUI_Usability",
+            "title": "ComfyUI Usability"
+        },
+        {
+            "author": "IuvenisSapiens",
+            "description": "This is an implementation of [a/MiniCPM-V-2_6-int4](https://github.com/OpenBMB/MiniCPM-V) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses.",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4"
+            ],
+            "id": "minicpm-v-2_6-int4",
+            "install_type": "git-clone",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4",
+            "title": "ComfyUI_MiniCPM-V-2_6-int4"
+        },
+        {
+            "author": "IuvenisSapiens",
+            "description": "This is an implementation of [a/Qwen2-Audio-7B-Instruct-Int4](https://github.com/QwenLM/Qwen2-Audio) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for text-based queries and audio queries to generate captions or responses.",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-Audio-7B-Instruct-Int4"
+            ],
+            "id": "qwen2-audio-7b-instruct-int4",
+            "install_type": "git-clone",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-Audio-7B-Instruct-Int4",
+            "title": "ComfyUI_Qwen2-Audio-7B-Instruct-Int4"
+        },
+        {
+            "author": "mltask",
+            "description": "a set of nodes to help u run ai code using MLTask",
+            "files": [
+                "https://github.com/misterjoessef/MLTask_ComfyUI"
+            ],
+            "id": "mltask_comfyui",
+            "install_type": "git-clone",
+            "reference": "https://github.com/misterjoessef/MLTask_ComfyUI",
+            "title": "MLTask_ComfyUI"
+        },
+        {
+            "author": "smlbiobot",
+            "description": "Flux Pro via Replicate API\nCreate API key at [a/https://replicate.com/account/api-tokens](https://replicate.com/account/api-tokens)\nCopy config.ini.example to config.ini and put the replicate key there.",
+            "files": [
+                "https://github.com/smlbiobot/ComfyUI-Flux-Replicate-API"
+            ],
+            "id": "replicate-api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/smlbiobot/ComfyUI-Flux-Replicate-API",
+            "title": "ComfyUI-Flux-Replicate-API"
+        },
+        {
+            "author": "Jjulianadv",
+            "description": "This extension provides the ability to build prompts using wildcards for each region of a split image.",
+            "files": [
+                "https://github.com/Julian-adv/WildDivide"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Julian-adv/WildDivide",
+            "title": "Wild Divide"
+        },
+        {
+            "author": "goburiin",
+            "description": "Nodes:NSFW Detector",
+            "files": [
+                "https://github.com/goburiin/nsfwrecog-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/goburiin/nsfwrecog-comfyui",
+            "title": "nsfwrecog-comfyui"
+        },
+        {
+            "author": "eastoc",
+            "description": "Segment and Recognize Anything at Any Granularity.",
+            "files": [
+                "https://github.com/eastoc/ComfyUI_SemanticSAM"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/eastoc/ComfyUI_SemanticSAM",
+            "title": "Semantic-SAM"
+        },
+        {
+            "author": "LING-APE",
+            "description": "Simple resuluition calculator to convert pixel resolution and aspect ratio to laten friendlt pixel width and height size.",
+            "files": [
+                "https://github.com/Ling-APE/ComfyUI-PixelResolutionCalculator"
+            ],
+            "id": "PixelCalulator",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Ling-APE/ComfyUI-PixelResolutionCalculator",
+            "title": "ComfyUI-PixelResolutionCalculator"
+        },
+        {
+            "author": "Cyber-Blacat",
+            "description": "Some simple&practical ComfyUI image processing nodes.",
+            "files": [
+                "https://github.com/Cyber-Blacat/ComfyUI-Yuan"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Cyber-Blacat/ComfyUI-Yuan",
+            "title": "ComfyUI-Yuan"
+        },
+        {
+            "author": "blackcodetavern",
+            "description": "ComfyUI-Benripack is an extension for ComfyUI that provides a CharacterPipe node. This node allows for managing various elements such as images, prompts, and models in a single structure, simplifying the workflow for character-based image generation.",
+            "files": [
+                "https://github.com/blackcodetavern/ComfyUI-Benripack"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/blackcodetavern/ComfyUI-Benripack",
+            "title": "ComfyUI-Benripack"
+        },
+        {
+            "author": "MohammadAboulEla",
+            "description": "The iTools are some quality of life nodes, like read a possible prompt used to create an image, save a prompt to file as a new line, read prompts from a multiline file.",
+            "files": [
+                "https://github.com/MohammadAboulEla/ComfyUI-iTools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/MohammadAboulEla/ComfyUI-iTools",
+            "title": "ComfyUI-iTools"
+        },
+        {
+            "author": "Hellrunner2k",
+            "description": "Nodes:Magical Save Node, Thermal Latenator. This package contains a collection of neat nodes that are supposed to ease your comfy-flow.",
+            "files": [
+                "https://github.com/Hellrunner2k/ComfyUI-HellrunnersMagicalNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Hellrunner2k/ComfyUI-HellrunnersMagicalNodes",
+            "title": "Hellrunner's Magical Nodes"
+        },
+        {
+            "author": "caleboleary",
+            "description": "Nodes:CharacterManagerNode, FilmGrain, FlipFlopperSameArch",
+            "files": [
+                "https://github.com/caleboleary/Comfyui-calbenodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/caleboleary/Comfyui-calbenodes",
+            "title": "Comfyui-calbenodes"
+        },
+        {
+            "author": "Raapys",
+            "description": "Simple latent-passthrough node for running a full VRAM cleanup between workflow stages.",
+            "files": [
+                "https://github.com/Raapys/ComfyUI-LatentGC_Aggressive"
+            ],
+            "id": "latentgcaggressive",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Raapys/ComfyUI-LatentGC_Aggressive",
+            "title": "LatentGC Aggressive"
+        },
+        {
+            "author": "Pheat-AI",
+            "description": "Nodes:Batch Image Blend by Mask, Batch Enlarged Overlay, Batch Image Overlay, Remove Black Pixels to Transparent, Canny Shrink and Recenter",
+            "files": [
+                "https://github.com/Pheat-AI/Remade_nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Pheat-AI/Remade_nodes",
+            "title": "Remade_nodes"
+        },
+        {
+            "author": "OgreLemonSoup",
+            "description": "Adds a gallery to the Load Image node",
+            "files": [
+                "https://github.com/OgreLemonSoup/ComfyUI-Load-Image-Gallery"
+            ],
+            "id": "LoadImageGallery",
+            "install_type": "git-clone",
+            "reference": "https://github.com/OgreLemonSoup/ComfyUI-Load-Image-Gallery",
+            "title": "Load Image Gallery"
+        },
+        {
+            "author": "OuticNZ",
+            "description": "Nodes:Text Switch 2 Way, Prompt Tidy, Text With Context.",
+            "files": [
+                "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex",
+            "title": "ComfyUI-Simple-Of-Complex"
+        },
+        {
+            "author": "justUmen",
+            "description": "Nodes: Ollama, Green Screen to Transparency, Save image for Bjornulf LobeChat, Text with random Seed, Random line from input, Combine images (Background+Overlay alpha), Image to grayscale (black & white), Remove image Transparency (alpha), Resize Image, ...",
+            "files": [
+                "https://github.com/justUmen/Bjornulf_custom_nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/justUmen/Bjornulf_custom_nodes",
+            "title": "Bjornulf_custom_nodes"
+        },
+        {
+            "author": "jstit",
+            "description": "Nodes:ImageCropCircle.",
+            "files": [
+                "https://github.com/jstit/comfyui_custom_node_image"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/jstit/comfyui_custom_node_image",
+            "title": "comfyui_custom_node_image"
+        },
+        {
+            "author": "jstit",
+            "description": "Nodes:Download Dreambooth Checkpoint, Get Random Value From List, Load Canny Pose Face, Transparent to White Background, Download Flux Lora.",
+            "files": [
+                "https://github.com/HeadshotPro/ComfyUI-HeadshotPro"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/HeadshotPro/ComfyUI-HeadshotPro",
+            "title": "ComfyUI-HeadshotPro"
+        },
+        {
+            "author": "Isi-dev",
+            "description": "These are nodes to animate an image with a reference video using UniAnimate. [w/Name conflict with AIFSH/ComfyUI-UniAnimate. Cannot install simulatenously.]",
+            "files": [
+                "https://github.com/Isi-dev/ComfyUI-UniAnimate-W"
+            ],
+            "id": "comfyuiunianimatenodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Isi-dev/ComfyUI-UniAnimate-W",
+            "title": "UniAnimate Nodes for ComfyUI"
+        },
+        {
+            "author": "XLabs-AI",
+            "description": "Nodes:Load Flux LoRA, Load Flux ControlNet, Apply Flux ControlNet, Xlabs Sampler",
+            "files": [
+                "https://github.com/XLabs-AI/x-flux-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/XLabs-AI/x-flux-comfyui",
+            "title": "x-flux-comfyui"
+        },
+        {
+            "author": "okgo4",
+            "description": "ComfyUI-Mosaic-Mask is an automatic tool designed to detect and mask mosaic areas in input images.",
+            "files": [
+                "https://github.com/okgo4/ComfyUI-Mosaic-Mask"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/okgo4/ComfyUI-Mosaic-Mask",
+            "title": "ComfyUI-Mosaic-Mask"
+        },
+        {
+            "author": "ChrisColeTech",
+            "description": "This custom node package for ComfyUI is designed to streamline your workflow with powerful file-counting capabilities.",
+            "files": [
+                "https://github.com/ChrisColeTech/ComfyUI-Line-counter"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ChrisColeTech/ComfyUI-Line-counter",
+            "title": "ComfyUI-Line-counter"
+        },
+        {
+            "author": "ChrisColeTech",
+            "description": "This custom node for ComfyUI will add a simple and elegant resource monitor.",
+            "files": [
+                "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor",
+            "title": "ComfyUI-Elegant-Resource-Monitor"
+        },
+        {
+            "author": "dadoirie",
+            "description": "ComfyUI_Dados_Nodes is a collection of custom nodes for ComfyUI, designed to enhance functionality and provide integration with various services, including Pinterest. This privacy policy explains how these nodes handle user data.\nNOTE: [a/privacy_policy](https://github.com/dadoirie/ComfyUI_Dados_Nodes/blob/master/privacy_policy.md)",
+            "files": [
+                "https://github.com/dadoirie/ComfyUI_Dados_Nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/dadoirie/ComfyUI_Dados_Nodes",
+            "title": "ComfyUI_Dados_Nodes"
+        },
+        {
+            "author": "fanfanfan",
+            "description": "Support input of Chinese prompts.",
+            "files": [
+                "https://github.com/yuan199696/chinese_clip_encode"
+            ],
+            "id": "chinese_clip_encode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuan199696/chinese_clip_encode",
+            "title": "chinese_clip_encode"
+        },
+        {
+            "author": "fanfanfan",
+            "description": "Support adding custom text to the generated images.",
+            "files": [
+                "https://github.com/yuan199696/add_text_2_img"
+            ],
+            "id": "add_text_2_img",
+            "install_type": "git-clone",
+            "reference": "https://github.com/yuan199696/add_text_2_img",
+            "title": "add_text_2_img"
+        },
+        {
+            "author": "fairy-root",
+            "description": "Ollama and Llava vision integration for ComfyUI",
+            "files": [
+                "https://github.com/fairy-root/comfyui-ollama-llms"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/fairy-root/comfyui-ollama-llms",
+            "title": "Ollama and Llava Vision integration for ComfyUI"
+        },
+        {
+            "author": "fairy-root",
+            "description": "A flexible and customizable prompt generator for generating detailed and creative prompts for image generation models for ComfyUI",
+            "files": [
+                "https://github.com/fairy-root/Flux-Prompt-Generator"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/fairy-root/Flux-Prompt-Generator",
+            "title": "Flux Prompt Generator for ComfyUI"
+        },
+        {
+            "author": "ryanontheinside",
+            "description": "Custom nodes introducing particle simulations, optical flow, audio manipulation & reactivity, and temporal masks",
+            "files": [
+                "https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside",
+            "title": "RyanOnTheInside"
+        },
+        {
+            "author": "ControlAltAI",
+            "description": "Quality of Life ComfyUI nodes starting with Flux Resolution Calculator and Flux Sampler.",
+            "files": [
+                "https://github.com/gseth/ControlAltAI-Nodes"
+            ],
+            "id": "controlaltai",
+            "install_type": "git-clone",
+            "reference": "https://github.com/gseth/ControlAltAI-Nodes",
+            "title": "ControlAltAI Nodes"
+        },
+        {
+            "author": "OliverCrosby",
+            "description": "A simple minimap in the bottom-right of the window showing the full workflow, left click to navigate",
+            "files": [
+                "https://github.com/OliverCrosby/Comfyui-Minimap"
+            ],
+            "id": "minimap",
+            "install_type": "git-clone",
+            "reference": "https://github.com/OliverCrosby/Comfyui-Minimap",
+            "title": "ComfyUI Minimap"
+        },
+        {
+            "author": "doomy23",
+            "description": "Nodes: Images_Converter, Show_Text, Strings_From_List, Save_Text, Random_Images, Load_Images_From_Paths, JSPaint.",
+            "files": [
+                "https://github.com/doomy23/ComfyUI-D00MYsNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/doomy23/ComfyUI-D00MYsNodes",
+            "title": "ComfyUI-D00MYsNodes"
+        },
+        {
+            "author": "Sieyalixnet",
+            "description": "An easy custom node that makes the some loaders' input as Text instead of file selector.\nFor example, there are many characters in different loras respectively. If you want to generate different characters' pictures, you have to select corresponding lora, and then edit the prompt. It may cost much time.\nTo solve this problem, You can use it with a chrome extension https://github.com/Sieyalixnet/ComfyUI-Prompt-Formatter-Extension that makes the queue prompt easier when you dealing with massive loras and prompt.",
+            "files": [
+                "https://github.com/Sieyalixnet/ComfyUI_Textarea_Loaders"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Sieyalixnet/ComfyUI_Textarea_Loaders",
+            "title": "ComfyUI_Textarea_Loaders"
+        },
+        {
+            "author": "markuryy",
+            "description": "The Flux Prompt Saver is a custom node for ComfyUI that works in conjunction with the Flux Sampler Parameters node from the ComfyUI Essentials package. This node allows you to save images with metadata that includes information from the Flux Sampler Parameters pipeline.",
+            "files": [
+                "https://github.com/markuryy/ComfyUI-Flux-Prompt-Saver"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/markuryy/ComfyUI-Flux-Prompt-Saver",
+            "title": "ComfyUI Flux Prompt Saver"
+        },
+        {
+            "author": "eesahe",
+            "description": "InstantX's Flux union ControlNet loader and implementation",
+            "files": [
+                "https://github.com/EeroHeikkinen/ComfyUI-eesahesNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/EeroHeikkinen/ComfyUI-eesahesNodes",
+            "title": "ComfyUI-eesahesNodes"
+        },
+        {
+            "author": "anhkhoatranle30",
+            "description": "This is a pack with some handy nodes for ComfyUI.",
+            "files": [
+                "https://github.com/anhkhoatranle30/Handy-Nodes-ComfyUI"
+            ],
+            "id": "handynode",
+            "install_type": "git-clone",
+            "reference": "https://github.com/anhkhoatranle30/Handy-Nodes-ComfyUI",
+            "title": "Handy Node ComfyUI"
+        },
+        {
+            "author": "Artiprocher",
+            "description": "The FLUX model API from DashScope, developed by Black Forest Labs, offers superior image generation capabilities with optimized support for Chinese prompts, achieving a commendable tradeoff between performance and the quality of generated images compared to other open-source models.",
+            "files": [
+                "https://github.com/modelscope/comfyscope"
+            ],
+            "id": "dashscope_api",
+            "install_type": "git-clone",
+            "reference": "https://github.com/modelscope/comfyscope",
+            "title": "Dashscope FLUX API for ComfyUI"
+        },
+        {
+            "author": "lucafoscili",
+            "description": "JSON Nodes, Large Language Model Nodes, Logic Nodes, Workflow Nodes.",
+            "files": [
+                "https://github.com/lucafoscili/comfyui-lf"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lucafoscili/comfyui-lf",
+            "title": "LF Nodes"
+        },
+        {
+            "author": "JPrevots",
+            "description": "Nodes:PhyCV - Phase-Stretch Transform (PST), PhyCV - VEViD, PhyCV - Page.",
+            "files": [
+                "https://github.com/JPrevots/ComfyUI-PhyCV"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/JPrevots/ComfyUI-PhyCV",
+            "title": "ComfyUI-PhyCV"
+        },
+        {
+            "author": "rnbwdsh",
+            "description": "Latent space walks for latents, conditionals and noise",
+            "files": [
+                "https://github.com/rnbwdsh/ComfyUI-LatentWalk"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/rnbwdsh/ComfyUI-LatentWalk",
+            "title": "Latent Walk"
+        },
+        {
+            "author": "kudou-reira",
+            "description": "This is a simple ComfyUI node that will take in a string of 'color' (i.e. 'blue') and output a hex color format.",
+            "files": [
+                "https://github.com/kudou-reira/ComfyUI_StringToHex"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/kudou-reira/ComfyUI_StringToHex",
+            "title": "ComfyUI_StringToHex"
+        },
+        {
+            "author": "phyblas",
+            "description": "Implementation of paint-by-example on ComfyUI",
+            "files": [
+                "https://github.com/phyblas/paint-by-example_comfyui"
+            ],
+            "id": "paintbyexample",
+            "install_type": "git-clone",
+            "reference": "https://github.com/phyblas/paint-by-example_comfyui",
+            "title": "paint-by-example @ ComfyUI"
+        },
+        {
+            "author": "aidenli",
+            "description": "Nodes: Translate, JoyTag, JoyCaption.",
+            "files": [
+                "https://github.com/aidenli/ComfyUI_NYJY"
+            ],
+            "id": "NYJY",
+            "install_type": "git-clone",
+            "reference": "https://github.com/aidenli/ComfyUI_NYJY",
+            "title": "ComfyUI_NYJY"
+        },
+        {
+            "author": "Pseudotools",
+            "description": "A package designed to enable multi-regional prompting for architectural rendering, integrated with the Rhino Pseudorandom plugin.",
+            "files": [
+                "https://github.com/Pseudotools/Pseudocomfy"
+            ],
+            "id": "pseudocomfy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Pseudotools/Pseudocomfy",
+            "title": "Pseudocomfy"
+        },
+        {
+            "author": "TTPlanetPig",
+            "description": "This is a workflow for my simple logic amazing upscale node for DIT model. it can be common use for Flux,Hunyuan,SD3 It can simple tile the initial image into pieces and then use image-interrogator to get each tile prompts for more accurate upscale process. The condition will be properly handled and the hallucination will be significantly eliminated.",
+            "files": [
+                "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset",
+            "title": "Comfyui_TTP_Toolset"
+        },
+        {
+            "author": "TTPlanetPig",
+            "description": "Adapt for Hunyuan now\nNOTE: The files in the repo are not organized, which may lead to update issues.",
+            "files": [
+                "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor",
+            "title": "for comfyui image proprocessor"
+        },
+        {
+            "author": "camenduru",
+            "description": "NODES: SendToTostAI",
+            "files": [
+                "https://github.com/camenduru/ComfyUI-TostAI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/camenduru/ComfyUI-TostAI",
+            "title": "ComfyUI-TostAI"
+        },
+        {
+            "author": "xlinx",
+            "description": "Auto prompt by LLM and LLM-Vision. (Trigger more details hiding in model)",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-auto-prompt-llm"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-auto-prompt-llm",
+            "title": "ComfyUI-decadetw-auto-prompt-llm"
+        },
+        {
+            "author": "xlinx",
+            "description": "Auto messging sd-image and sd-info to mobile phone IM realtime. (LINE | Telegram | Discord)",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime",
+            "title": "ComfyUI-decadetw-auto-messaging-realtime"
+        },
+        {
+            "author": "xlinx",
+            "description": "I'm SD-VJ. (share SD-generating-process in realtime by gpu)",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj",
+            "title": "ComfyUI-decadetw-spout-syphon-im-vj"
+        },
+        {
+            "author": "wmpmiles",
+            "description": "Generalised 'image' processing nodes for images, masks, latents, and combinations thereof.",
+            "files": [
+                "https://github.com/wmpmiles/ComfyUI-GTF-Utilities"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/wmpmiles/ComfyUI-GTF-Utilities",
+            "title": "ComfyUI-GTF-Utilities"
+        },
+        {
+            "author": "nonnonstop",
+            "description": "This extension applies a patch that limits the model loading speed when using an HDD in a Windows environment. See [a/comfyanonymous/ComfyUI#1992](https://github.com/comfyanonymous/ComfyUI/issues/1992). [w/As this patch is only useful in very limited environments, its installation is not recommended under normal circumstances. Memory usage may increase.]",
+            "files": [
+                "https://github.com/nonnonstop/comfyui-faster-loading"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nonnonstop/comfyui-faster-loading",
+            "title": "comfyui-faster-loading"
+        },
+        {
+            "author": "Dr.Jusseaux",
+            "description": "A collection of ComfyUI custom nodes that allow to use most Diffusers pipelines and components in Comfy(Txt2Img, Img2Img, Inpainting, LoRAS, B-LoRAS, ControlNet...)",
+            "files": [
+                "https://github.com/maepopi/Diffusers-in-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/maepopi/Diffusers-in-ComfyUI",
+            "title": "Diffusers-in-ComfyUI"
+        },
+        {
+            "author": "niknah",
+            "description": "Quick connections, Circuit board connections",
+            "files": [
+                "https://github.com/niknah/quick-connections"
+            ],
+            "id": "quick-connections",
+            "install_type": "git-clone",
+            "reference": "https://github.com/niknah/quick-connections",
+            "title": "Quick Connections"
+        },
+        {
+            "author": "daryltucker",
+            "description": "The primary goal of these nodes is to provide a way to access files generated by ComfyUI workflows, local to the machine running ComfyUI. These nodes should always return an updated list of files when triggered.",
+            "files": [
+                "https://github.com/daryltucker/ComfyUI-LoadFiles"
+            ],
+            "id": "LoadFiles",
+            "install_type": "git-clone",
+            "reference": "https://github.com/daryltucker/ComfyUI-LoadFiles",
+            "title": "ComfyUI-LoadFiles"
+        },
+        {
+            "author": "X-T-E-R",
+            "description": "Load your model with image previews, or directly download and import Civitai models via URL. This custom ComfyUI node supports Checkpoint, LoRA, and LoRA Stack models, offering features like bypass options.",
+            "files": [
+                "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes",
+            "title": "ComfyUI Easy Civitai (XTNodes)"
+        },
+        {
+            "author": "hyejinlee12",
+            "description": "This node is to fill image for outpainting(inpainting)\nFill image using cv2 methods(cv2_ns, cv2_telea and edge_pad)",
+            "files": [
+                "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting"
+            ],
+            "id": "fill-image-for-outpainting",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting",
+            "title": "ComfyUI-Fill-Image-for-Outpainting"
+        },
+        {
+            "author": "yhayano-ponotech",
+            "description": "This repository contains custom nodes for ComfyUI that integrate the fal.ai FLUX.1 [dev] with LoRA API, specifically for text-to-image generation. These nodes allow you to use the FLUX.1 model directly within your ComfyUI workflows.",
+            "files": [
+                "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux",
+            "title": "ComfyUI-Fal-API-Flux"
+        },
+        {
+            "author": "Rvage0815",
+            "description": "With this suit, you have a lot of nodes in one place to build your workflow.",
+            "files": [
+                "https://github.com/Rvage0815/ComfyUI-RvTools"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Rvage0815/ComfyUI-RvTools",
+            "title": "ComfyUI-RvTools"
+        },
+        {
+            "author": "erosDiffusion",
+            "description": "pass up to 8 images and visually place, rotate and scale them to build the perfect composition. group move and group rescale. remember their position and scaling value across generations to easy swap images. use the buffer zone to to park an asset you don't want to use or easily reach transformations controls",
+            "files": [
+                "https://github.com/erosDiffusion/ComfyUI-enricos-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/erosDiffusion/ComfyUI-enricos-nodes",
+            "title": "Compositor Node"
+        },
+        {
+            "author": "Steudio",
+            "description": "Nodes: Make_Tile_Calc, Make_Tiles, Unmake_Tiles, Make_Size, Make_Size_Latent",
+            "files": [
+                "https://github.com/Steudio/ComfyUI_Steudio"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Steudio/ComfyUI_Steudio",
+            "title": "ComfyUI_Steudio"
+        },
+        {
+            "author": "Assistant",
+            "description": "Custom node to manage prompts in YAML format.",
+            "files": [
+                "https://github.com/NakamuraShippo/ComfyUI-PromptList"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/NakamuraShippo/ComfyUI-PromptList",
+            "title": "ComfyUI-PromptList"
+        },
+        {
+            "author": "nux1111",
+            "description": "Run ComfyUI workflows on multiple local GPUs/networked machines with options to edit the json values within comfyui.\nOriginal repo: [a/city96/ComfyUI_NetDist](https://github.com/city96/ComfyUI_NetDist)",
+            "files": [
+                "https://github.com/nux1111/ComfyUI_NetDist_Plus"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nux1111/ComfyUI_NetDist_Plus",
+            "title": "ComfyUI_NetDist_Plus"
+        },
+        {
+            "author": "mittimi",
+            "description": "The system selects and loads preset.",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiLoadPreset"
+            ],
+            "id": "comfyui-mittimi-load-preset",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiLoadPreset",
+            "title": "ComfyUI_mittimiLoadPreset"
+        },
+        {
+            "author": "mittimi",
+            "description": "This is the node that performs the magnification calculation.",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize"
+            ],
+            "id": "comfyui_mittimi_recalculate_size",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize",
+            "title": "ComfyUI_mittimiRecalculateSize"
+        },
+        {
+            "author": "mittimi",
+            "description": "This node can easily switch between vertical and horizontal values with a single button.",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiWidthHeight"
+            ],
+            "id": "comfyui_mittimi_width_height",
+            "install_type": "git-clone",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiWidthHeight",
+            "title": "ComfyUI_mittimiWidthHeight"
+        },
+        {
+            "author": "RodrigoSKohl",
+            "description": "Simple Node to make panoramic images",
+            "files": [
+                "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher",
+            "title": "Panoramic Image Stitcher"
+        },
+        {
+            "author": "nicehero",
+            "description": "SegGPT model for comfyui,segmentation everything with mask prompt. Download (https://huggingface.co/BAAI/SegGPT/blob/main/seggpt_vit_large.pth) in this node path.",
+            "files": [
+                "https://github.com/nicehero/comfyui-SegGPT"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nicehero/comfyui-SegGPT",
+            "title": "comfyui-SegGPT"
+        },
+        {
+            "author": "sakura1bgx",
+            "description": "ComfyUI_FlipStreamViewer is a tool that provides a viewer interface for flipping images with frame interpolation, allowing you to watch high-fidelity pseudo-videos without needing AnimateDiff.",
+            "files": [
+                "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer",
+            "title": "ComfyUI_FlipStreamViewer"
+        },
+        {
+            "author": "ducido",
+            "description": "This is a node to generate new image that combine 2 objects from different scene.",
+            "files": [
+                "https://github.com/ducido/ObjectFusion_ComfyUI_nodes"
+            ],
+            "id": "objectfusion-nodes",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ducido/ObjectFusion_ComfyUI_nodes",
+            "title": "ObjectFusion_ComfyUI_nodes"
+        },
+        {
+            "author": "DanielHabib",
+            "description": "NODES:Mesh To Voxel, Voxel Block Saver, Voxel Viewer",
+            "files": [
+                "https://github.com/DanielHabib/ComfyUI-Voxels"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/DanielHabib/ComfyUI-Voxels",
+            "title": "ComfyUI-Voxels"
+        },
+        {
+            "author": "jsonL",
+            "description": "Nodes to use Florence2 VLM for image vision tasks: object detection, captioning, segmentation and ocr",
+            "files": [
+                "https://github.com/StarMagicAI/comfyui_tagger"
+            ],
+            "id": "comfyui-tagger",
+            "install_type": "git-clone",
+            "reference": "https://github.com/StarMagicAI/comfyui_tagger",
+            "title": "ComfyUI-tagger"
+        },
+        {
+            "author": "boredofnames",
+            "description": "NODES:Save Image and ntfy",
+            "files": [
+                "https://github.com/boredofnames/ComfyUI-ntfy"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/boredofnames/ComfyUI-ntfy",
+            "title": "ComfyUI-ntfy"
+        },
+        {
+            "author": "Xclbr7",
+            "description": "ComfyUI-Merlin is a custom node extension for ComfyUI, introducing the Magic Photo Prompter. This powerful tool enhances your prompt engineering process by allowing users to easily construct detailed, high-quality prompts for photo-realistic image generation.",
+            "files": [
+                "https://github.com/Xclbr7/ComfyUI-Merlin"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Xclbr7/ComfyUI-Merlin",
+            "title": "ComfyUI-Merlin: Magic Photo Prompter"
+        },
+        {
+            "author": "neverbiasu",
+            "description": "NODES:StyleShotApply",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-StyleShot"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/neverbiasu/ComfyUI-StyleShot",
+            "title": "ComfyUI-StyleShot"
+        },
+        {
+            "author": "microbote",
+            "description": "StyledCLIPTextEncode is a node that enables you to build your prompts(both postive and negative) based on the selected style. It provides up-to 77 styles currently and has been tested on SDXL and SD1.5 checkpoints. It's ported from project [a/Style Selector for SDXL 1.0](https://github.com/ahgsql/StyleSelectorXL), which is only availabe on WebUI.",
+            "files": [
+                "https://github.com/microbote/ComfyUI-StyledCLIPTextEncode"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/microbote/ComfyUI-StyledCLIPTextEncode",
+            "title": "StyledCLIPTextEncode"
+        },
+        {
+            "author": "Isi-dev",
+            "description": "These are ComfyUI nodes to assist in converting an image to sketches or lineArts.",
+            "files": [
+                "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants"
+            ],
+            "id": "Img2DrawingAssistants",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants",
+            "title": "ComfyUI-Img2DrawingAssistants"
+        },
+        {
+            "author": "tianguangliu",
+            "description": "Efficiency tools, Personalized style, Other Nodes, ...",
+            "files": [
+                "https://github.com/tianguanggliu/Utools"
+            ],
+            "id": "utools",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tianguanggliu/Utools",
+            "title": "comfyui-utools"
+        },
+        {
+            "author": "celoron",
+            "description": "A ComfyUI node for transforming images into descriptive text using templated visual question answering. Leverages Hugging Face's VQA models with transformers",
+            "files": [
+                "https://github.com/celoron/ComfyUI-VisualQueryTemplate"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/celoron/ComfyUI-VisualQueryTemplate",
+            "title": "ComfyUI-VisualQueryTemplate"
+        },
+        {
+            "author": "Alex Genovese",
+            "description": "Huggingface Api Serverless request",
+            "files": [
+                "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference",
+            "title": "Huggingface Api Serverless"
+        },
+        {
+            "author": "freelifehacker",
+            "description": "NODES:ImageMask2PNG",
+            "files": [
+                "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG",
+            "title": "ComfyUI-ImgMask2PNG"
+        },
+        {
+            "author": "fssorc",
+            "description": "Generate transition frames between two character posture images. The prerequisite for running is to have installed comfyui_controlnet_aux, using its Open Pose or DWPose preprocessor",
+            "files": [
+                "https://github.com/fssorc/ComfyUI_pose_inter"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/fssorc/ComfyUI_pose_inter",
+            "title": "ComfyUI_pose_inter"
+        },
+        {
+            "author": "souki202",
+            "description": "This is a node that simply integrates LoadImage, Vae Encode, Upscale, Resolution factor correction, and Color Adjustment.",
+            "files": [
+                "https://github.com/souki202/ComfyUI-LoadImage-Advanced"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/souki202/ComfyUI-LoadImage-Advanced",
+            "title": "ComfyUI-LoadImage-Advanced"
+        },
+        {
+            "author": "drmbt",
+            "description": "A collection of forks, QoL nodes and utilities for ComfyUI",
+            "files": [
+                "https://github.com/drmbt/comfyui-dreambait-nodes"
+            ],
+            "id": "drmbt",
+            "install_type": "git-clone",
+            "reference": "https://github.com/drmbt/comfyui-dreambait-nodes",
+            "title": "comfyui-dreambait-nodes"
+        },
+        {
+            "author": "InstaSD",
+            "description": "A collection of nodes for use with InstaSD. These nodes will be transformed into app inputs when you deploy your ComfyUI workflow on InstaSD.",
+            "files": [
+                "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD",
+            "title": "InstaSD nodes for ComfyUI"
+        },
+        {
+            "author": "Shiba-2-shiba",
+            "description": "This is a custom node to convert png images into color ASCII art. As noted below, multiple font sizes are used in the specification. The resolution of the generated file is set to be the same as the input image.",
+            "files": [
+                "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node"
+            ],
+            "id": "asciiart",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node",
+            "title": "ComfyUI-color-ascii-art-node"
+        },
+        {
+            "author": "Shiba-2-shiba",
+            "description": "This is a custom node to convert only the Diffusion model part or CLIP model part to fp8 in ComfyUI.\nVAE fp8 conversion is not supported.\nThe advantage of this node is that you do not need to separate unet/clip/vae in advance when converting to fp8, but can use the safetenros files that ComfyUI provides.",
+            "files": [
+                "https://github.com/Shiba-2-shiba/ComfyUI_DiffusionModel_fp8_converter"
+            ],
+            "id": "fp8-converter",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Shiba-2-shiba/ComfyUI_DiffusionModel_fp8_converter",
+            "title": "ComfyUI_DiffusionModel_fp8_converter"
+        },
+        {
+            "author": "Bao Pham",
+            "description": "This extension provides a set of nodes that can be used to mask multiple object at once",
+            "files": [
+                "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH"
+            ],
+            "id": "lyra-vsih",
+            "install_type": "git-clone",
+            "reference": "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH",
+            "title": "ComfyUI-LyraVSIH"
+        },
+        {
+            "author": "AbyssBadger0",
+            "description": "Nodes:KolorsAwesomePrompts",
+            "files": [
+                "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts",
+            "title": "Kolors Awesome Prompts"
+        },
+        {
+            "author": "IuvenisSapiens",
+            "description": "This is an implementation of [a/Qwen2-VL-Instruct](https://github.com/QwenLM/Qwen2-VL) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), which includes, but is not limited to, support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses.",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct"
+            ],
+            "id": "qwen2-vl-instruct",
+            "install_type": "git-clone",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct",
+            "title": "ComfyUI_Qwen2-VL-Instruct"
+        },
+        {
+            "author": "Hmily",
+            "description": "An awesome light image processing tool nodes for ComfyUI.",
+            "files": [
+                "https://github.com/ihmily/ComfyUI-Light-Tool"
+            ],
+            "id": "comfyui-light-tool",
+            "install_type": "git-clone",
+            "reference": "https://github.com/ihmily/ComfyUI-Light-Tool",
+            "title": "ComfyUI-Light-Tool"
+        },
+        {
+            "author": "k-komarov",
+            "description": "Save Your Image to BunnyStorage",
+            "files": [
+                "https://github.com/k-komarov/comfyui-bunny-cdn-storage"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/k-komarov/comfyui-bunny-cdn-storage",
+            "title": "comfyui-bunny-cdn-storage"
+        },
+        {
+            "author": "PabloGFX",
+            "description": "A custom node for ComfyUI that analyzes and sorts images based on head orientation using MediaPipe. It detects facial landmarks, calculates head pose, and intelligently sorts images for enhanced AI image processing workflows.",
+            "files": [
+                "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX"
+            ],
+            "id": "head-orientation-node",
+            "install_type": "git-clone",
+            "reference": "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX",
+            "title": "Head Orientation Node"
+        },
+        {
+            "author": "45uee",
+            "description": "Implementation of color transfer using KMeans algorithm",
+            "files": [
+                "https://github.com/45uee/ComfyUI-Color_Transfer"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/45uee/ComfyUI-Color_Transfer",
+            "title": "ComfyUI-Color_Transfer"
+        },
+        {
+            "author": "Phando",
+            "description": "A collection of nodes to help streamline your ComfyUI workflows",
+            "files": [
+                "https://github.com/Phando/ComfyUI-PhandoNodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Phando/ComfyUI-PhandoNodes",
+            "title": "ComfyUI-PhandoNodes"
+        },
+        {
+            "author": "geocine",
+            "description": "NODES:Image Selector (geocine), Image Scale (geocine)",
+            "files": [
+                "https://github.com/geocine/geocine-comfyui"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/geocine/geocine-comfyui",
+            "title": "geocine-comfyui"
+        },
+        {
+            "author": "SeanScripts",
+            "description": "For unloading a model or all models, using the memory management that is already present in ComfyUI. Copied from [a/https://github.com/willblaschko/ComfyUI-Unload-Models](https://github.com/willblaschko/ComfyUI-Unload-Models) but without the unnecessary extra stuff.",
+            "files": [
+                "https://github.com/SeanScripts/ComfyUI-Unload-Model"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/SeanScripts/ComfyUI-Unload-Model",
+            "title": "ComfyUI-Unload-Model"
+        },
+        {
+            "author": "ExterminanzHS",
+            "description": "Custom nodes for ComfyUI to automatically send generated images to Discord channels.",
+            "files": [
+                "https://github.com/ExterminanzHS/Gecco-Discord-Autosend"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/ExterminanzHS/Gecco-Discord-Autosend",
+            "title": "Gecco Discord Autosend"
+        },
+        {
+            "author": "Hugo",
+            "description": "This repository wraps the latest BiRefNet model as ComfyUI nodes. Compared to the previous model, the latest model offers higher and better matting accuracy.",
+            "files": [
+                "https://github.com/MoonHugo/ComfyUI-BiRefNet-Hugo"
+            ],
+            "id": "BiRefNet",
+            "install_type": "git-clone",
+            "reference": "https://github.com/MoonHugo/ComfyUI-BiRefNet-Hugo",
+            "title": "ComfyUI-BiRefNet-Hugo"
+        },
+        {
+            "author": "GrenKain",
+            "description": "This repository provides custom nodes for ComfyUI that enable pixel art style image processing, including downscaling, upscaling, color quantization, and resolution adjustments.",
+            "files": [
+                "https://github.com/GrenKain/PixelArt-Processing-Nodes-for-ComfyUI"
+            ],
+            "id": "gk_pixelart",
+            "install_type": "git-clone",
+            "reference": "https://github.com/GrenKain/PixelArt-Processing-Nodes-for-ComfyUI",
+            "title": "PixelArt Processing Nodes"
+        },
+        {
+            "author": "Trgtuan10",
+            "description": "NODES:Object Mask.\nNOTE:push [a/yolov8x-seg.pt](https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8x-seg.pt) in models/yolo",
+            "files": [
+                "https://github.com/Trgtuan10/ComfyUI_YoloSegment_Mask"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Trgtuan10/ComfyUI_YoloSegment_Mask",
+            "title": "ComfyUI_YoloSegment_Mask"
+        },
+        {
+            "author": "lldacing",
+            "description": "Sync with version of BiRefNet. NODES:AutoDownloadBiRefNetModel, LoadRembgByBiRefNetModel, RembgByBiRefNet.",
+            "files": [
+                "https://github.com/lldacing/ComfyUI_BiRefNet_ll"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/lldacing/ComfyUI_BiRefNet_ll",
+            "title": "ComfyUI_BiRefNet_ll"
+        },
+        {
+            "author": "Tenney95",
+            "description": "ComfyUI-NodeAligner is a lightweight ComfyUI layout plugin that includes features such as node alignment, distribution, and resizing. This plugin is designed to simplify layout adjustments in visual node editors or custom UI components, making node arrangement more convenient and efficient.",
+            "files": [
+                "https://github.com/Tenney95/ComfyUI-NodeAligner"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Tenney95/ComfyUI-NodeAligner",
+            "title": "ComfyUI-NodeAligner"
+        },
+        {
+            "author": "VykosX",
+            "description": "Custom nodes to improve flow control and logic + several utilities to enhance capabilities",
+            "files": [
+                "https://github.com/VykosX/ControlFlowUtils"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/VykosX/ControlFlowUtils",
+            "title": "ControlFlowUtils"
+        },
+        {
+            "author": "tachyon-beep",
+            "description": "A lightweight image tray forked from Comfy-UI-CustomScripts with simple sorting, positioning and filtering options.",
+            "files": [
+                "https://github.com/tachyon-beep/comfyui-simplefeed"
+            ],
+            "id": "simplefeed",
+            "install_type": "git-clone",
+            "reference": "https://github.com/tachyon-beep/comfyui-simplefeed",
+            "title": "ComfyUI Simple Feed"
+        },
+        {
+            "author": "alexisrolland",
+            "description": "Custom nodes to run microsoft/Phi models.",
+            "files": [
+                "https://github.com/alexisrolland/ComfyUI-Phi"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/alexisrolland/ComfyUI-Phi",
+            "title": "ComfyUI-Phi"
+        },
+        {
+            "author": "LatentRat",
+            "description": "Nodes to run nodes on remote ComfyUI instances.",
+            "files": [
+                "https://github.com/LatentRat/comfy_remote_run"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/LatentRat/comfy_remote_run",
+            "title": "comfy_remote_run"
+        },
+        {
+            "author": "kinglord",
+            "description": "New UI on the sidebar that allows for quick and easy navigation of images to help build styles, characters, backgrounds, etc. or even entire random prompts.",
+            "files": [
+                "https://github.com/Kinglord/ComfyUI_Prompt_Gallery"
+            ],
+            "id": "promptGallery",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Kinglord/ComfyUI_Prompt_Gallery",
+            "title": "Prompt Gallery"
+        },
+        {
+            "author": "alexcong",
+            "description": "ComfyUI Qwen2-VL wrapper that supports text-based and single-image queries.",
+            "files": [
+                "https://github.com/alexcong/ComfyUI_QwenVL"
+            ],
+            "id": "comfyui-qwen2-vl",
+            "install_type": "git-clone",
+            "reference": "https://github.com/alexcong/ComfyUI_QwenVL",
+            "title": "Qwen2-VL wrapper for ComfyUI"
+        },
+        {
+            "author": "Bin-sam",
+            "description": "NODES:pose_extraction, Load_reference_unet, Load_denoising_unet, Load_Pose_Guider, Pose_Guider_Encode, DynamicPose_Sampler, load_pose_model, align",
+            "files": [
+                "https://github.com/Bin-sam/DynamicPose-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Bin-sam/DynamicPose-ComfyUI",
+            "title": "DynamicPose-ComfyUI"
+        },
+        {
+            "author": "Metal3d",
+            "description": "Detect human parts using the DeepLabV3+ ResNet50 model from Keras-io. You can extract hair, arms, legs, and other parts with ease and with small memory usage.",
+            "files": [
+                "https://github.com/metal3d/ComfyUI_Human_Parts"
+            ],
+            "id": "human-parts-detector",
+            "install_type": "git-clone",
+            "reference": "https://github.com/metal3d/ComfyUI_Human_Parts",
+            "title": "Human Parts Detector"
+        },
+        {
+            "author": "Fuwuffy",
+            "description": "This is a collection of nodes created to aid when managing area conditionings.",
+            "files": [
+                "https://github.com/Fuwuffyi/ComfyUI-VisualArea-Nodes"
+            ],
+            "id": "comfy-visual-area",
+            "install_type": "git-clone",
+            "reference": "https://github.com/Fuwuffyi/ComfyUI-VisualArea-Nodes",
+            "title": "ComfyUI Visual Area Nodes"
+        },
+        {
+            "author": "HentaiGirlfriendDotCom",
+            "description": "A node that can be dropped into a group. When a node is then clicked within that group, all nodes and connections in that group get greyed out and the connections from the clicked node go bright red.",
+            "files": [
+                "https://github.com/HentaiGirlfriendDotCom/comfyui-highlight-connections"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/HentaiGirlfriendDotCom/comfyui-highlight-connections",
+            "title": "comfyui-highlight-connections"
+        },
+        {
+            "author": "openart",
+            "description": "NODES: External Boolean (ComfyUI Deploy), External Checkpoint (ComfyUI Deploy), External Image (ComfyUI Deploy), External Video (ComfyUI Deploy x VHS), OpenArt Text, Image Websocket Output (ComfyDeploy), ...",
+            "files": [
+                "https://github.com/kulsisme/openart-comfyui-deploy"
+            ],
+            "id": "openart-comfyui-deploy",
+            "install_type": "git-clone",
+            "reference": "https://github.com/kulsisme/openart-comfyui-deploy",
+            "title": "openart-comfyui-deploy"
+        },
+        {
+            "author": "Cyber-BCat",
+            "description": "This report contains a 'load many images' node which is going to load the image set by the number of file names from smallest to largest, and the images will no longer be loaded in the wrong order! Setting index=0 makes it load from the first small value (image flie name) image, and index=2 will load them from the second image. Another node 'load images & resize' can resize the image by the first loaded image.",
+            "files": [
+                "https://github.com/Cyber-BCat/ComfyUI_Auto_Caption"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/Cyber-BCat/ComfyUI_Auto_Caption",
+            "title": "ComfyUI_Auto_Caption"
+        },
+        {
+            "author": "cr7Por",
+            "description": "comfyui custom node for depthflow\noriginal depthflow website: [a/https://github.com/BrokenSource/DepthFlow](https://github.com/BrokenSource/DepthFlow)\ncheck this for installation: [a/https://brokensrc.dev/get/](https://brokensrc.dev/get/)",
+            "files": [
+                "https://github.com/cr7Por/ComfyUI_DepthFlow"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/cr7Por/ComfyUI_DepthFlow",
+            "title": "ComfyUI_DepthFlow"
+        },
+        {
+            "author": "aimerib",
+            "description": "A comfyui node that provides save image with higher bit depth.",
+            "files": [
+                "https://github.com/aimerib/ComfyUI_HigherBitDepthSaveImage"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/aimerib/ComfyUI_HigherBitDepthSaveImage",
+            "title": "ComfyUI-HigherBitDepthSaveImage"
+        },
+        {
+            "author": "nchenevey1",
+            "description": "Provides nodes geared towards using GIMP as a frontend for ComfyUI.",
+            "files": [
+                "https://github.com/nchenevey1/comfyui-gimp-nodes"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/nchenevey1/comfyui-gimp-nodes",
+            "title": "comfyui-gimp-nodes"
+        },
+        {
+            "author": "MetaGLM",
+            "description": "This platform extension provides ZhipuAI nodes, enabling you to configure a workflow for online video generation.",
+            "files": [
+                "https://github.com/MetaGLM/ComfyUI-ZhipuAI-Platform"
+            ],
+            "id": "zhipuai-platform",
+            "install_type": "git-clone",
+            "pip": [
+                "zhipuai-platform-video"
+            ],
+            "reference": "https://github.com/MetaGLM/ComfyUI-ZhipuAI-Platform",
+            "title": "ComfyUI ZhipuAI Platform"
+        },
+        {
+            "author": "zhiselfly",
+            "description": "Compatible with alimama's SD3-ControlNet Demo on ComfyUI.",
+            "files": [
+                "https://github.com/zhiselfly/ComfyUI-Alimama-ControlNet-compatible"
+            ],
+            "install_type": "git-clone",
+            "reference": "https://github.com/zhiselfly/ComfyUI-Alimama-ControlNet-compatible",
+            "title": "ComfyUI-Alimama-ControlNet-compatible"
+        },
+        {
+            "author": "Ser-Hilary",
+            "description": "Nodes:sizing_node. Size calculation node related to image size in prompts supported by SDXL.",
+            "files": [
+                "https://github.com/Ser-Hilary/SDXL_sizing/raw/main/conditioning_sizing_for_SDXL.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/Ser-Hilary/SDXL_sizing",
+            "title": "SDXL_sizing"
+        },
+        {
+            "author": "ailex000",
+            "description": "Custom javascript extensions for better UX for ComfyUI. Supported nodes: PreviewImage, SaveImage. Double click on image to open.",
+            "files": [
+                "https://github.com/ailex000/ComfyUI-Extensions/raw/main/image-gallery/imageGallery.js"
+            ],
+            "install_type": "copy",
+            "js_path": "image-gallery",
+            "reference": "https://github.com/ailex000/ComfyUI-Extensions",
+            "title": "Image Gallery"
+        },
+        {
+            "author": "rock-land",
+            "description": "ComfyUI Web Extension for saving views and navigating graphs.",
+            "files": [
+                "https://github.com/rock-land/graphNavigator/raw/main/graphNavigator/graphNavigator.js"
+            ],
+            "install_type": "copy",
+            "js_path": "graphNavigator",
+            "reference": "https://github.com/rock-land/graphNavigator",
+            "title": "graphNavigator"
+        },
+        {
+            "author": "diffus3",
+            "description": "Extensions: subgraph, setget, multiReroute",
+            "files": [
+                "https://github.com/diffus3/ComfyUI-extensions/raw/main/multiReroute/multireroute.js",
+                "https://github.com/diffus3/ComfyUI-extensions/raw/main/setget/setget.js"
+            ],
+            "install_type": "copy",
+            "js_path": "diffus3",
+            "reference": "https://github.com/diffus3/ComfyUI-extensions",
+            "title": "diffus3/ComfyUI-extensions"
+        },
+        {
+            "author": "m957ymj75urz",
+            "description": "Nodes: RawText, RawTextCLIPEncode, RawTextCombine, RawTextReplace, Extension: m957ymj75urz.colors",
+            "files": [
+                "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes/raw/main/clip-text-encode-split/clip_text_encode_split.py",
+                "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes/raw/main/colors/colors.js"
+            ],
+            "install_type": "copy",
+            "js_path": "m957ymj75urz",
+            "reference": "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes",
+            "title": "m957ymj75urz/ComfyUI-Custom-Nodes"
+        },
+        {
+            "author": "Bikecicle",
+            "description": "Some additional audio utilites for use on top of Sample Diffusion ComfyUI Extension",
+            "files": [
+                "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions/raw/main/EXT_AudioManipulation.py",
+                "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions/raw/main/EXT_VariationUtils.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions",
+            "title": "Waveform Extensions"
+        },
+        {
+            "author": "dawangraoming",
+            "description": "KSampler is provided, based on GPU random noise",
+            "files": [
+                "https://github.com/dawangraoming/ComfyUI_ksampler_gpu/raw/main/ksampler_gpu.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/dawangraoming/ComfyUI_ksampler_gpu",
+            "title": "KSampler GPU"
+        },
+        {
+            "author": "fitCorder",
+            "description": "fcFloatMatic is a custom module, that when configured correctly will increment through the lines generating you loras at different strengths. The JSON file will load the config.",
+            "files": [
+                "https://github.com/fitCorder/fcSuite/raw/main/fcSuite.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/fitCorder/fcSuite",
+            "title": "fcSuite"
+        },
+        {
+            "author": "lordgasmic",
+            "description": "Nodes:CLIPTextEncodeWithWildcards. This wildcard node is a wildcard node that operates based on the seed.",
+            "files": [
+                "https://github.com/lordgasmic/ComfyUI-Wildcards/raw/master/wildcards.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/lordgasmic/ComfyUI-Wildcards",
+            "title": "Wildcards"
+        },
+        {
+            "author": "throttlekitty",
+            "description": "A quick and easy ComfyUI custom node for setting SDXL-friendly aspect ratios.",
+            "files": [
+                "https://raw.githubusercontent.com/throttlekitty/SDXLCustomAspectRatio/main/SDXLAspectRatio.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/throttlekitty/SDXLCustomAspectRatio",
+            "title": "SDXLCustomAspectRatio"
+        },
+        {
+            "author": "s1dlx",
+            "description": "Advanced merging methods.",
+            "files": [
+                "https://github.com/s1dlx/comfy_meh/raw/main/meh.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/s1dlx/comfy_meh",
+            "title": "comfy_meh"
+        },
+        {
+            "author": "tudal",
+            "description": "Nodes: Prompt parser. ComfyUI extra nodes. Mostly prompt parsing.",
+            "files": [
+                "https://github.com/tudal/Hakkun-ComfyUI-nodes/raw/main/hakkun_nodes.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/tudal/Hakkun-ComfyUI-nodes",
+            "title": "Hakkun-ComfyUI-nodes"
+        },
+        {
+            "author": "SadaleNet",
+            "description": "Nodes: CLIPTextEncodeA1111, RerouteTextForCLIPTextEncodeA1111.",
+            "files": [
+                "https://github.com/SadaleNet/CLIPTextEncodeA1111-ComfyUI/raw/master/custom_nodes/clip_text_encoder_a1111.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/SadaleNet/CLIPTextEncodeA1111-ComfyUI",
+            "title": "ComfyUI A1111-like Prompt Custom Node Solution"
+        },
+        {
+            "author": "wsippel",
+            "description": "Nodes: SDXLResolutionPresets. Easy access to the officially supported resolutions, in both horizontal and vertical formats: 1024x1024, 1152x896, 1216x832, 1344x768, 1536x640",
+            "files": [
+                "https://github.com/wsippel/comfyui_ws/raw/main/sdxl_utility.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/wsippel/comfyui_ws",
+            "title": "SDXLResolutionPresets"
+        },
+        {
+            "author": "nicolai256",
+            "description": "Nodes: yugioh_Presets. by Nicolai256 inspired by throttlekitty SDXLAspectRatio",
+            "files": [
+                "https://github.com/nicolai256/comfyUI_Nodes_nicolai256/raw/main/yugioh-presets.py"
+            ],
+            "id": "nicoali256",
+            "install_type": "copy",
+            "reference": "https://github.com/nicolai256/comfyUI_Nodes_nicolai256",
+            "title": "comfyUI_Nodes_nicolai256"
+        },
+        {
+            "author": "Onierous",
+            "description": "Nodes: QRNG Node CSV. A node that takes in an array of random numbers from the ANU QRNG API and stores them locally for generating quantum random number noise_seeds in ComfyUI",
+            "files": [
+                "https://github.com/Onierous/QRNG_Node_ComfyUI/raw/main/qrng_node.py"
+            ],
+            "id": "qrng",
+            "install_type": "copy",
+            "reference": "https://github.com/Onierous/QRNG_Node_ComfyUI",
+            "title": "QRNG_Node_ComfyUI"
+        },
+        {
+            "author": "ntdviet",
+            "description": "Nodes:LatentGarbageCollector. This ComfyUI custom node flushes the GPU cache and empty cuda interprocess memory. It's helpfull for low memory environment such as the free Google Colab, especially when the workflow VAE decode latents of the size above 1500x1500.",
+            "files": [
+                "https://github.com/ntdviet/comfyui-ext/raw/main/custom_nodes/gcLatentTunnel/gcLatentTunnel.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/ntdviet/comfyui-ext",
+            "title": "ntdviet/comfyui-ext"
+        },
+        {
+            "author": "alkemann",
+            "description": "Nodes:Int to Text, Seed With Text, Save A1 Image.",
+            "files": [
+                "https://gist.github.com/alkemann/7361b8eb966f29c8238fd323409efb68/raw/f9605be0b38d38d3e3a2988f89248ff557010076/alkemann.py"
+            ],
+            "id": "alkemann",
+            "install_type": "copy",
+            "reference": "https://gist.github.com/alkemann/7361b8eb966f29c8238fd323409efb68",
+            "title": "alkemann nodes"
+        },
+        {
+            "author": "catscandrive",
+            "description": "Adds an Image Loader node that also shows images in subfolders of the default input directory",
+            "files": [
+                "https://github.com/catscandrive/comfyui-imagesubfolders/raw/main/loadImageWithSubfolders.py"
+            ],
+            "id": "imgsubfolders",
+            "install_type": "copy",
+            "reference": "https://github.com/catscandrive/comfyui-imagesubfolders",
+            "title": "Image loader with subfolders"
+        },
+        {
+            "author": "Smuzzies",
+            "description": "Nodes: Chatbox Overlay. Custom node for ComfyUI to add a text box over a processed image before save node.",
+            "files": [
+                "https://github.com/Smuzzies/comfyui_chatbox_overlay/raw/main/chatbox_overlay.py"
+            ],
+            "id": "chatbox-overlay",
+            "install_type": "copy",
+            "reference": "https://github.com/Smuzzies/comfyui_chatbox_overlay",
+            "title": "Chatbox Overlay node for ComfyUI"
+        },
+        {
+            "author": "CaptainGrock",
+            "description": "Nodes:Apply Invisible Watermark, Extract Watermark. Adds up to 12 characters encoded into an image that can be extracted.",
+            "files": [
+                "https://github.com/CaptainGrock/ComfyUIInvisibleWatermark/raw/main/Invisible%20Watermark.py"
+            ],
+            "id": "invisible-watermark-grock",
+            "install_type": "copy",
+            "reference": "https://github.com/CaptainGrock/ComfyUIInvisibleWatermark",
+            "title": "ComfyUIInvisibleWatermark"
+        },
+        {
+            "author": "LZC",
+            "description": "Nodes:tensor_trans_pil, Make Transparent mask, MergeImages, words_generatee, load_PIL image",
+            "files": [
+                "https://github.com/1shadow1/hayo_comfyui_nodes/raw/main/LZCNodes.py"
+            ],
+            "id": "lzcnodes",
+            "install_type": "copy",
+            "reference": "https://github.com/1shadow1/hayo_comfyui_nodes",
+            "title": "Hayo comfyui nodes"
+        },
+        {
+            "author": "underclockeddev",
+            "description": "A node which takes in x, y, width, height, total width, and total height, in order to accurately represent the area of an image which is covered by area-based conditioning.",
+            "files": [
+                "https://github.com/underclockeddev/ComfyUI-PreviewSubselection-Node/raw/master/preview_subselection.py"
+            ],
+            "id": "preview-subselection",
+            "install_type": "copy",
+            "reference": "https://github.com/underclockeddev/ComfyUI-PreviewSubselection-Node",
+            "title": "Preview Subselection Node for ComfyUI"
+        },
+        {
+            "author": "underclockeddev",
+            "description": "Nodes:BrevImage. ComfyUI Load Image From URL",
+            "files": [
+                "https://github.com/bkunbargi/BrevImage/raw/main/BrevLoadImage.py"
+            ],
+            "id": "brevimage",
+            "install_type": "copy",
+            "reference": "https://github.com/bkunbargi/BrevImage",
+            "title": "BrevImage"
+        },
+        {
+            "author": "jw782cn",
+            "description": "Extension to show random cat GIFs while queueing prompt.",
+            "files": [
+                "https://github.com/jw782cn/ComfyUI-Catcat"
+            ],
+            "id": "catcat",
+            "install_type": "copy",
+            "reference": "https://github.com/jw782cn/ComfyUI-Catcat",
+            "title": "ComfyUI-Catcat"
+        },
+        {
+            "author": "barckley75",
+            "description": "Nodes:TextToSpeech, phy_3_conditioning, SaveAudioToDaVinci, SaveImageToDaVinci.\nNOTE:In order to use DaVinci node you must have DaVinci Resolve Studio connected to the API. For more information check the help seciton in DaVinci Resolve Studio HELP>DOCUMENTATION>DEVELOPER. It will open a folder, search for scripting and the for README.txt file, the API documentation.",
+            "files": [
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/node_text_to_speech.py",
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/nodes_phy_3_contitioning.py",
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/save_audio_to_davinci.py",
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/save_image_to_davinci.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/barckley75/comfyUI_DaVinciResolve",
+            "title": "comfyUI_DaVinciResolve"
+        },
+        {
+            "author": "DannyStone1999",
+            "description": "Nodes:Depth2Mask",
+            "files": [
+                "https://github.com/DannyStone1999/ComfyUI-Depth2Mask/raw/main/Depth2Mask.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/DannyStone1999/ComfyUI-Depth2Mask",
+            "title": "ComfyUI-Depth2Mask"
+        },
+        {
+            "author": "Limbicnation",
+            "description": "A custom depth estimation node for ComfyUI using transformer models. It integrates depth estimation with automatic gamma correction, contrast adjustment, and edge detection, based on the [a/TransformDepth](https://github.com/Limbicnation/TransformDepth) repository.",
+            "files": [
+                "https://github.com/Limbicnation/ComfyUIDepthEstimation/raw/main/depth_estimation_node.py"
+            ],
+            "install_type": "copy",
+            "pip": [
+                "transformers"
+            ],
+            "reference": "https://github.com/Limbicnation/ComfyUIDepthEstimation",
+            "title": "ComfyUIDepthEstimation"
+        },
+        {
+            "author": "seghier",
+            "description": "Use LibreTranslation in ComfyUI [a/https://github.com/LibreTranslate/LibreTranslate](https://github.com/LibreTranslate/LibreTranslate)",
+            "files": [
+                "https://github.com/seghier/ComfyUI_LibreTranslate/raw/main/translate_node.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/seghier/ComfyUI_LibreTranslate",
+            "title": "ComfyUI_LibreTranslate"
+        },
+        {
+            "author": "ImmortalPie",
+            "description": "The PonySwitch node is a custom node for ComfyUI that modifies prompts based on a toggle switch and adds configurable pony tags.",
+            "files": [
+                "https://github.com/ImmortalPie/ComfyUI-PonySwitch/raw/main/PonySwitch.py"
+            ],
+            "install_type": "copy",
+            "reference": "https://github.com/ImmortalPie/ComfyUI-PonySwitch",
+            "title": "PonySwitch Node"
+        },
+        {
+            "author": "theally",
+            "description": "Custom nodes for ComfyUI by TheAlly.",
+            "files": [
+                "https://civitai.com/api/download/models/25114",
+                "https://civitai.com/api/download/models/24679",
+                "https://civitai.com/api/download/models/24154",
+                "https://civitai.com/api/download/models/23884",
+                "https://civitai.com/api/download/models/23649",
+                "https://civitai.com/api/download/models/23467",
+                "https://civitai.com/api/download/models/23296"
+            ],
+            "id": "ally",
+            "install_type": "unzip",
+            "reference": "https://civitai.com/models/19625?modelVersionId=23296",
+            "title": "TheAlly's Custom Nodes"
+        },
+        {
+            "author": "xss",
+            "description": "Various image processing nodes.",
+            "files": [
+                "https://civitai.com/api/download/models/32717",
+                "https://civitai.com/api/download/models/47776",
+                "https://civitai.com/api/download/models/29772",
+                "https://civitai.com/api/download/models/31618",
+                "https://civitai.com/api/download/models/31591",
+                "https://civitai.com/api/download/models/29773",
+                "https://civitai.com/api/download/models/29774",
+                "https://civitai.com/api/download/models/29755",
+                "https://civitai.com/api/download/models/29750"
+            ],
+            "id": "xss",
+            "install_type": "unzip",
+            "reference": "https://civitai.com/models/24869/comfyui-custom-nodes-by-xss",
+            "title": "Custom Nodes by xss"
+        },
+        {
+            "author": "aimingfail",
+            "description": "This is a node to convert an image into a CMYK Halftone dot image.",
+            "files": [
+                "https://civitai.com/api/download/models/158997"
+            ],
+            "id": "img2halftone",
+            "install_type": "unzip",
+            "reference": "https://civitai.com/models/143293/image2halftone-node-for-comfyui",
+            "title": "Image2Halftone Node for ComfyUI"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/1742899825_extension-node-map.json b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/1742899825_extension-node-map.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bcba1e3e7c641047a4dd22884f7540554dc7a88
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/1742899825_extension-node-map.json
@@ -0,0 +1,20354 @@
+{
+    "https://gist.github.com/alkemann/7361b8eb966f29c8238fd323409efb68/raw/f9605be0b38d38d3e3a2988f89248ff557010076/alkemann.py": [
+        [
+            "Int to Text",
+            "Save A1 Image",
+            "Seed With Text"
+        ],
+        {
+            "title_aux": "alkemann nodes"
+        }
+    ],
+    "https://github.com/0xbitches/ComfyUI-LCM": [
+        [
+            "LCM_Sampler",
+            "LCM_Sampler_Advanced",
+            "LCM_img2img_Sampler",
+            "LCM_img2img_Sampler_Advanced"
+        ],
+        {
+            "title_aux": "Latent Consistency Model for ComfyUI"
+        }
+    ],
+    "https://github.com/1038lab/ComfyUI-GPT2P": [
+        [
+            "GPT2PNode"
+        ],
+        {
+            "title_aux": "ComfyUI-GPT2P"
+        }
+    ],
+    "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant": [
+        [
+            "EGIPAdapter_Mad_Assistant",
+            "EGIPAdapter_Mad_AssistantV1",
+            "EGIPAdapter_Mad_AssistantV2",
+            "EGIPAdapter_Mad_AssistantV3",
+            "EGIPAdapter_Mad_AssistantV4",
+            "EGIPAdapter_Mad_AssistantV5",
+            "EGIPAdapter_Mad_AssistantV6"
+        ],
+        {
+            "title_aux": "ComfUI-EGAdapterMadAssistant"
+        }
+    ],
+    "https://github.com/11dogzi/Comfyui-ergouzi-Nodes": [
+        [
+            "EG-YSZT-ZT",
+            "EG_CPSYTJ",
+            "EG_FX_BDAPI",
+            "EG_HT_YSTZ",
+            "EG_JF_ZZSC",
+            "EG_JXFZ_node",
+            "EG_K_LATENT",
+            "EG_RY_HT",
+            "EG_SCQY_BHDQY",
+            "EG_SCQY_QBQY",
+            "EG_SCQY_SXQY",
+            "EG_SJ",
+            "EG_SJPJ_Node",
+            "EG_SS_RYZH",
+            "EG_SZ_JDYS",
+            "EG_TC_Node",
+            "EG_TSCDS_CJ",
+            "EG_TSCDS_DG",
+            "EG_TSCDS_FG",
+            "EG_TSCDS_JT",
+            "EG_TSCDS_QT",
+            "EG_TSCDS_RW",
+            "EG_TSCDS_WP",
+            "EG_TSCDS_ZL",
+            "EG_TSCMB_GL",
+            "EG_TXZZ_ZH",
+            "EG_TX_CCHQ",
+            "EG_TX_CJPJ",
+            "EG_TX_JZRY",
+            "EG_TX_LJ",
+            "EG_TX_LJBC",
+            "EG_TX_SFBLS",
+            "EG_TX_WHLJ",
+            "EG_WB_KSH",
+            "EG_WXZ_QH",
+            "EG_XZ_QH",
+            "EG_YSQY_BBLLD",
+            "EG_YSQY_BLLD",
+            "EG_ZY_WBK",
+            "EG_ZZHBCJ",
+            "EG_ZZKZ_HT_node",
+            "EG_ZZ_BSYH",
+            "EG_ZZ_BYYH",
+            "EG_ZZ_HSYH",
+            "EG_ZZ_MHHT",
+            "EG_ZZ_SSKZ",
+            "ER_JBCH",
+            "ER_TX_ZZCJ"
+        ],
+        {
+            "title_aux": "Comfyui-ergouzi-Nodes"
+        }
+    ],
+    "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan": [
+        [
+            "ALLty",
+            "EGRYDZQHNode",
+            "GroupSwitchNode",
+            "GroupSwitchNodee",
+            "GroupSwitchNodeee",
+            "GroupSwitchNodeeee",
+            "hulue",
+            "jinyong"
+        ],
+        {
+            "title_aux": "Comfyui-ergouzi-kaiguan"
+        }
+    ],
+    "https://github.com/11dogzi/Comfyui-ergouzi-samplers": [
+        [
+            "EGBYZZCYQ",
+            "EGCYQJB",
+            "EGCYQJBCJ"
+        ],
+        {
+            "title_aux": "Comfyui-ergouzi-samplers"
+        }
+    ],
+    "https://github.com/1mckw/Comfyui-Gelbooru": [
+        [
+            "Gelbooru (ID)",
+            "Gelbooru (Random)"
+        ],
+        {
+            "title_aux": "Comfyui-Gelbooru"
+        }
+    ],
+    "https://github.com/1shadow1/hayo_comfyui_nodes/raw/main/LZCNodes.py": [
+        [
+            "LoadPILImages",
+            "MergeImages",
+            "make_transparentmask",
+            "tensor_trans_pil",
+            "words_generatee"
+        ],
+        {
+            "title_aux": "Hayo comfyui nodes"
+        }
+    ],
+    "https://github.com/2kpr/ComfyUI-UltraPixel": [
+        [
+            "UltraPixelLoad",
+            "UltraPixelProcess"
+        ],
+        {
+            "author": "italo",
+            "title_aux": "ComfyUI-UltraPixel"
+        }
+    ],
+    "https://github.com/42lux/ComfyUI-safety-checker": [
+        [
+            "Safety Checker"
+        ],
+        {
+            "title_aux": "ComfyUI-safety-checker"
+        }
+    ],
+    "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner": [
+        [
+            "GPT4VCaptioner",
+            "Image Load with Metadata",
+            "SAMIN String Attribute Selector",
+            "SANMIN Adapt Coordinates",
+            "SANMIN AdjustTransparency",
+            "SANMIN BlurMaskArea",
+            "SANMIN ChineseToCharacter",
+            "SANMIN ClothingWildcards",
+            "SANMIN ConvertToEnglish",
+            "SANMIN EditWildcards",
+            "SANMIN Float",
+            "SANMIN LoadPathImagesPreview",
+            "SANMIN SCALE AND FILL BLACK",
+            "SANMIN SanmiSaveImageToLocal",
+            "SANMIN SimpleWildcards",
+            "SANMIN Upscale And Original Size",
+            "Samin Counter",
+            "Samin Load Image Batch"
+        ],
+        {
+            "title_aux": "ComfyUI-GPT4V-Image-Captioner"
+        }
+    ],
+    "https://github.com/45uee/ComfyUI-Color_Transfer": [
+        [
+            "ColorPalette",
+            "PaletteTransfer"
+        ],
+        {
+            "title_aux": "ComfyUI-Color_Transfer"
+        }
+    ],
+    "https://github.com/54rt1n/ComfyUI-DareMerge": [
+        [
+            "DM_AdvancedDareModelMerger",
+            "DM_AdvancedModelMerger",
+            "DM_AttentionGradient",
+            "DM_BlockGradient",
+            "DM_BlockModelMerger",
+            "DM_DareClipMerger",
+            "DM_DareModelMergerBlock",
+            "DM_DareModelMergerElement",
+            "DM_DareModelMergerMBW",
+            "DM_GradientEdit",
+            "DM_GradientOperations",
+            "DM_GradientReporting",
+            "DM_InjectNoise",
+            "DM_LoRALoaderTags",
+            "DM_LoRAReporting",
+            "DM_MBWGradient",
+            "DM_MagnitudeMasker",
+            "DM_MaskEdit",
+            "DM_MaskOperations",
+            "DM_MaskReporting",
+            "DM_ModelReporting",
+            "DM_NormalizeModel",
+            "DM_QuadMasker",
+            "DM_ShellGradient",
+            "DM_SimpleMasker"
+        ],
+        {
+            "title_aux": "ComfyUI-DareMerge"
+        }
+    ],
+    "https://github.com/807502278/ComfyUI-3D-MeshTool": [
+        [
+            "Auto_Normal",
+            "Load_OBJ",
+            "Mesh_Clean_Data",
+            "Mesh_Cleanup",
+            "Mesh_Data",
+            "Mesh_Data_Statistics",
+            "Mesh_Optimization",
+            "Mesh_Subdivide",
+            "UV_options",
+            "UnwrapUV_Auto_xatlas",
+            "UnwrapUV_xatlas",
+            "array-append",
+            "array-attribute",
+            "array-convert",
+            "array-end-increment",
+            "array-end-step",
+            "array-is-null",
+            "array-number-to-angle",
+            "array-select-element",
+            "array-step",
+            "array-step-increment",
+            "array-t",
+            "array-to-camposes",
+            "cam-pos-bus",
+            "mesh_data_bus",
+            "mesh_remap_cubvh",
+            "ply_load",
+            "ply_normalize",
+            "ply_save",
+            "show_any",
+            "string-to-array",
+            "vc_to_texture"
+        ],
+        {
+            "author": "807502278",
+            "description": "A simple 3D model processing tool within ComfyUI",
+            "nickname": "3D Mesh Tool",
+            "title": "3D Mesh Tool",
+            "title_aux": "ComfyUI-3D-MeshTool"
+        }
+    ],
+    "https://github.com/80sVectorz/ComfyUI-Static-Primitives": [
+        [
+            "FloatStaticPrimitive",
+            "IntStaticPrimitive",
+            "StringMlStaticPrimitive",
+            "StringStaticPrimitive"
+        ],
+        {
+            "title_aux": "ComfyUI-Static-Primitives"
+        }
+    ],
+    "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp": [
+        [
+            "AutoColorGimp"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoColorGimp"
+        }
+    ],
+    "https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE": [
+        [
+            "PixelOE"
+        ],
+        {
+            "title_aux": "ComfyUI-PixelOE"
+        }
+    ],
+    "https://github.com/AARG-FAN/Image-Raster-for-ComfyUI": [
+        [
+            "AIraster"
+        ],
+        {
+            "title_aux": "Image-vector-for-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/AniTalker-ComfyUI": [
+        [
+            "AniTalkerNode",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "AniTalker-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-3d-photo-inpainting": [
+        [
+            "LoadImagePath",
+            "PreViewVideo",
+            "TreeDNode"
+        ],
+        {
+            "title_aux": "ComfyUI-3d-photo-inpainting"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-AuraSR": [
+        [
+            "AuraSRNode"
+        ],
+        {
+            "title_aux": "AIFSH/ComfyUI-AuraSR"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-DiffSynth-Studio": [
+        [
+            "ControlNetPathLoader",
+            "DiffTextNode",
+            "DiffutoonNode",
+            "ExVideoNode",
+            "LoadVideo",
+            "PreViewVideo",
+            "SDPathLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-DiffSynth-Studio"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-FishSpeech": [
+        [
+            "FishSpeech_INFER",
+            "FishSpeech_INFER_SRT",
+            "LoadAudio",
+            "LoadSRT",
+            "PreViewAudio"
+        ],
+        {
+            "title_aux": "ComfyUI-FishSpeech"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-GPT_SoVITS": [
+        [
+            "GPT_SOVITS_FT",
+            "GPT_SOVITS_INFER",
+            "GPT_SOVITS_TTS",
+            "LoadAudio",
+            "LoadSRT",
+            "PreViewAudio"
+        ],
+        {
+            "title_aux": "ComfyUI-GPT_SoVITS"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-Hallo": [
+        [
+            "HalloNode",
+            "LoadAudioPath",
+            "LoadImagePath",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-Hallo"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-I2V-Adapter": [
+        [
+            "I2V_AdapterNode",
+            "LoraPathLoader",
+            "MotionLoraLoader",
+            "PreViewVideo",
+            "PromptNode"
+        ],
+        {
+            "title_aux": "ComfyUI-I2V-Adapter"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-IP_LAP": [
+        [
+            "CombineAudioVideo",
+            "IP_LAP",
+            "LoadVideo",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-IP_LAP"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-Live2DViewer": [
+        [
+            "Live2DViewer",
+            "LoadAudio"
+        ],
+        {
+            "title_aux": "ComfyUI-Live2DViewer"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MARS5-TTS": [
+        [
+            "LoadAudioPath",
+            "MARS5TTS_Node",
+            "PreViewAudio",
+            "TTSTextEncode"
+        ],
+        {
+            "title_aux": "ComfyUI-MARS5-TTS"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MimicBrush": [
+        [
+            "MimicBrushNode"
+        ],
+        {
+            "title_aux": "ComfyUI-MimicBrush"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MimicMotion": [
+        [
+            "LoadVideo",
+            "MimicMotionNode",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-MimicMotion"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MuseTalk_FSH": [
+        [
+            "CombineAudioVideo",
+            "LoadVideo",
+            "MuseTalk",
+            "MuseTalkRealTime",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-MuseTalk_FSH"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-RVC": [
+        [
+            "CombineAudio",
+            "LoadAudio",
+            "PreViewAudio",
+            "RVC_Infer",
+            "RVC_Train"
+        ],
+        {
+            "title_aux": "ComfyUI-RVC"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-UVR5": [
+        [
+            "LoadAudioPath",
+            "PreViewAudio",
+            "UVR5_Node"
+        ],
+        {
+            "title_aux": "ComfyUI-UVR5"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-UniAnimate": [
+        [
+            "LoadImagePath",
+            "LoadVideo",
+            "PoseAlignNode",
+            "PreViewVideo",
+            "UniAnimateNode"
+        ],
+        {
+            "title_aux": "ComfyUI-UniAnimate"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-WhisperX": [
+        [
+            "LoadAudio",
+            "PreViewSRT",
+            "WhisperX"
+        ],
+        {
+            "title_aux": "ComfyUI-WhisperX"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-XTTS": [
+        [
+            "LoadAudioPath",
+            "LoadSRT",
+            "PreViewAudio",
+            "XTTS_INFER",
+            "XTTS_INFER_SRT"
+        ],
+        {
+            "title_aux": "ComfyUI-XTTS"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI_V-Express": [
+        [
+            "LoadAudioPath",
+            "LoadImagePath",
+            "LoadVideo",
+            "PreViewVideo",
+            "VExpress"
+        ],
+        {
+            "title_aux": "ComfyUI_V-Express"
+        }
+    ],
+    "https://github.com/AIFSH/CosyVoice-ComfyUI": [
+        [
+            "CosyVoiceDubbingNode",
+            "CosyVoiceNode",
+            "LoadSRT",
+            "TextNode"
+        ],
+        {
+            "title_aux": "CosyVoice-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/DHLive-ComfyUI": [
+        [
+            "CombineVideo",
+            "DHLIVELoadVideo",
+            "DHLiveNode",
+            "PreViewVideo",
+            "StaticVideo"
+        ],
+        {
+            "title_aux": "DHLive-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/DiffMorpher-ComfyUI": [
+        [
+            "DiffMorpherNode",
+            "PreViewGIF",
+            "TextNode"
+        ],
+        {
+            "title_aux": "DiffMorpher-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/DiffSynth-ComfyUI": [
+        [
+            "CogVideoNode",
+            "DownloadModelsNode",
+            "LoadVideo",
+            "PreViewVideo",
+            "TextEncode"
+        ],
+        {
+            "title_aux": "DiffSynth-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/FancyVideo-ComfyUI": [
+        [
+            "FancyVideoNode",
+            "PreViewVideo",
+            "TextEncode"
+        ],
+        {
+            "title_aux": "FancyVideo-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/GSTTS-ComfyUI": [
+        [
+            "ASRNode",
+            "AudioSlicerNode",
+            "ConfigGPTNode",
+            "ConfigSoVITSNode",
+            "DatasetNode",
+            "ExperienceNode",
+            "GSFinetuneNone",
+            "GSVTTSNode",
+            "LoadSRT",
+            "PreViewSRT",
+            "TSCY_Node",
+            "TextDictNode"
+        ],
+        {
+            "title_aux": "GSTTS-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/HivisionIDPhotos-ComfyUI": [
+        [
+            "AddBackgroundNode",
+            "AddWaterMarkNode",
+            "ENHivisionParamsNode",
+            "HivisionLayOutNode",
+            "HivisionNode",
+            "ZHHivisionParamsNode"
+        ],
+        {
+            "author": "cuny",
+            "description": "",
+            "title_aux": "HivisionIDPhotos-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/RealisDance-ComfyUI": [
+        [
+            "LoadFile",
+            "LoadVideo",
+            "PreViewVideo",
+            "RealisDanceNode"
+        ],
+        {
+            "title_aux": "RealisDance-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/SenseVoice-ComfyUI": [
+        [
+            "SenseVoiceNode",
+            "ShowTextNode"
+        ],
+        {
+            "title_aux": "SenseVoice-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/StyleShot-ComfyUI": [
+        [
+            "StyleShotNode",
+            "TextNode"
+        ],
+        {
+            "title_aux": "StyleShot-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/VideoSys-ComfyUI": [
+        [
+            "PreViewVideo",
+            "TextNode",
+            "VideoSysNode"
+        ],
+        {
+            "title_aux": "VideoSys-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/VocalSeparation-ComfyUI": [
+        [
+            "VocalSeparationNode"
+        ],
+        {
+            "title_aux": "VocalSeparation-ComfyUI"
+        }
+    ],
+    "https://github.com/AIGCTeam/ComfyUI_kkTranslator_nodes": [
+        [
+            "LoadMarianMTCheckPoint",
+            "PromptBaiduFanyiToText",
+            "PromptTranslateToText"
+        ],
+        {
+            "title_aux": "ComfyUI_kkTranslator_nodes"
+        }
+    ],
+    "https://github.com/AIGODLIKE/ComfyUI-CUP": [
+        [
+            "Mask",
+            "OpenPose",
+            "OpenPoseCanny",
+            "OpenPoseDepth",
+            "OpenPoseFace",
+            "OpenPoseFull",
+            "OpenPoseFullExtraLimb",
+            "OpenPoseHand",
+            "OpenPoseKeyPose",
+            "OpenPoseLineart",
+            "OpenPoseMediaPipeFace",
+            "PreviewAudio",
+            "SaveAudioBL",
+            "\u5b58\u50a8",
+            "\u5bfc\u5165",
+            "\u622a\u56fe",
+            "\u6750\u8d28\u56fe",
+            "\u8f93\u5165\u56fe\u50cf",
+            "\u9884\u89c8"
+        ],
+        {
+            "title_aux": "ComfyUI-CUP"
+        }
+    ],
+    "https://github.com/AIGODLIKE/ComfyUI-ToonCrafter": [
+        [
+            "ToonCrafterNode",
+            "ToonCrafterWithSketch"
+        ],
+        {
+            "title_aux": "ComfyUI-ToonCrafter"
+        }
+    ],
+    "https://github.com/AInseven/ComfyUI-fastblend": [
+        [
+            "FillDarkMask",
+            "InterpolateKeyFrame",
+            "MaskListcaptoBatch",
+            "Merge_Image_List",
+            "MyOpenPoseNode",
+            "SmoothVideo",
+            "alert_when_finished",
+            "reBatchImage"
+        ],
+        {
+            "title_aux": "ComfyUI-fastblend"
+        }
+    ],
+    "https://github.com/AIrjen/OneButtonPrompt": [
+        [
+            "AutoNegativePrompt",
+            "CreatePromptVariant",
+            "OneButtonArtify",
+            "OneButtonFlufferize",
+            "OneButtonPreset",
+            "OneButtonPrompt",
+            "OneButtonSuperPrompt",
+            "SavePromptToFile"
+        ],
+        {
+            "title_aux": "One Button Prompt"
+        }
+    ],
+    "https://github.com/ALatentPlace/ComfyUI_yanc": [
+        [
+            "> Bloom",
+            "> Blur",
+            "> Brightness",
+            "> Clear Text",
+            "> Combine Channels",
+            "> Contrast",
+            "> Divide Channels",
+            "> Edge Enhance",
+            "> Film Grain",
+            "> Float to Int",
+            "> Fog",
+            "> Get Mean Color",
+            "> HUE",
+            "> Int",
+            "> Int to Text",
+            "> Layer Weights (for IPAMS)",
+            "> Lens Distortion",
+            "> Light Source Mask",
+            "> Load Image",
+            "> Load Image From Folder",
+            "> Mask Curves",
+            "> NIKSampler",
+            "> Noise From Image",
+            "> Normal Map Lighting",
+            "> RGB Color",
+            "> RGB Shift",
+            "> Resolution by Aspect Ratio",
+            "> Rotate Image",
+            "> Saturation",
+            "> Save Image",
+            "> Scale Image to Side",
+            "> Scanlines",
+            "> Sharpen",
+            "> Text",
+            "> Text Combine",
+            "> Text Pick Line by Index",
+            "> Text Pick Random Line",
+            "> Text Random Weights",
+            "> Text Replace",
+            "> Vignette"
+        ],
+        {
+            "title_aux": "ComfyUI_yanc"
+        }
+    ],
+    "https://github.com/APZmedia/ComfyUI-APZmedia-cleanName-from-string": [
+        [
+            "APZmediaStandardFilenameBuilder",
+            "CleanFileNameNode",
+            "GenerateFilePathNode"
+        ],
+        {
+            "title_aux": "APZmedia Clean Name"
+        }
+    ],
+    "https://github.com/Aaron-CHM/ComfyUI-z-a1111-sd-webui-DanTagGen": [
+        [
+            "DanTagGen"
+        ],
+        {
+            "title_aux": "z-a1111-sd-webui-DanTagGen"
+        }
+    ],
+    "https://github.com/AbdullahAlfaraj/Comfy-Photoshop-SD": [
+        [
+            "APS_LatentBatch",
+            "APS_Seed",
+            "ContentMaskLatent",
+            "ControlNetScript",
+            "ControlnetUnit",
+            "GaussianLatentImage",
+            "GetConfig",
+            "LoadImageBase64",
+            "LoadImageWithMetaData",
+            "LoadLorasFromPrompt",
+            "MaskExpansion"
+        ],
+        {
+            "title_aux": "Comfy-Photoshop-SD"
+        }
+    ],
+    "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts": [
+        [
+            "KolorsAwesomePrompts"
+        ],
+        {
+            "title_aux": "Kolors Awesome Prompts"
+        }
+    ],
+    "https://github.com/AbyssYuan0/ComfyUI_BadgerTools": [
+        [
+            "ApplyMaskToImage-badger",
+            "CropImageByMask-badger",
+            "ExpandImageWithColor-badger",
+            "FindThickLinesFromCanny-badger",
+            "FloatToInt-badger",
+            "FloatToString-badger",
+            "FrameToVideo-badger",
+            "GETRequset-badger",
+            "GarbageCollect-badger",
+            "GetColorFromBorder-badger",
+            "GetDirName-badger",
+            "GetUUID-badger",
+            "IdentifyBorderColorToMask-badger",
+            "IdentifyColorToMask-badger",
+            "ImageNormalization-badger",
+            "ImageOverlap-badger",
+            "ImageScaleToSide-badger",
+            "IntToString-badger",
+            "IntToStringAdvanced-badger",
+            "LoadImageAdvanced-badger",
+            "LoadImagesFromDirListAdvanced-badger",
+            "NormalizationNumber-badger",
+            "RotateImageWithPadding",
+            "SegmentToMaskByPoint-badger",
+            "SimpleBoolean-badger",
+            "StringToFizz-badger",
+            "TextListToString-badger",
+            "ToPixel-badger",
+            "TrimTransparentEdges-badger",
+            "VideoCutFromDir-badger",
+            "VideoToFrame-badger",
+            "deleteDir-badger",
+            "findCenterOfMask-badger",
+            "getImageSide-badger",
+            "getParentDir-badger",
+            "mkdir-badger"
+        ],
+        {
+            "title_aux": "ComfyUI_BadgerTools"
+        }
+    ],
+    "https://github.com/Acly/comfyui-inpaint-nodes": [
+        [
+            "INPAINT_ApplyFooocusInpaint",
+            "INPAINT_DenoiseToCompositingMask",
+            "INPAINT_ExpandMask",
+            "INPAINT_InpaintWithModel",
+            "INPAINT_LoadFooocusInpaint",
+            "INPAINT_LoadInpaintModel",
+            "INPAINT_MaskedBlur",
+            "INPAINT_MaskedFill",
+            "INPAINT_VAEEncodeInpaintConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI Inpaint Nodes"
+        }
+    ],
+    "https://github.com/Acly/comfyui-tooling-nodes": [
+        [
+            "ETN_ApplyMaskToImage",
+            "ETN_AttentionMask",
+            "ETN_BackgroundRegion",
+            "ETN_CropImage",
+            "ETN_DefineRegion",
+            "ETN_ExtractImageTile",
+            "ETN_ExtractMaskTile",
+            "ETN_GenerateTileMask",
+            "ETN_ListRegionMasks",
+            "ETN_LoadImageBase64",
+            "ETN_LoadMaskBase64",
+            "ETN_MergeImageTile",
+            "ETN_NSFWFilter",
+            "ETN_SendImageWebSocket",
+            "ETN_TileLayout",
+            "ETN_Translate"
+        ],
+        {
+            "title_aux": "ComfyUI Nodes for External Tooling"
+        }
+    ],
+    "https://github.com/AiMiDi/ComfyUI-Aimidi-nodes": [
+        [
+            "Add Tag",
+            "Clear Tag",
+            "Load Images Pair Batch",
+            "Merge Tag",
+            "Move Tag To Top",
+            "Reserve Tag",
+            "Save Images Pair"
+        ],
+        {
+            "title_aux": "ComfyUI-Aimidi-nodes"
+        }
+    ],
+    "https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet": [
+        [
+            "ArgosTranslateCLIPTextEncodeNode",
+            "ArgosTranslateTextNode",
+            "ColorsCorrectNode",
+            "DeepTranslatorCLIPTextEncodeNode",
+            "DeepTranslatorTextNode",
+            "GoogleTranslateCLIPTextEncodeNode",
+            "GoogleTranslateTextNode",
+            "HexToHueNode",
+            "IDENode",
+            "PainterNode",
+            "PoseNode",
+            "PreviewTextNode"
+        ],
+        {
+            "title_aux": "AlekPet/ComfyUI_Custom_Nodes_AlekPet"
+        }
+    ],
+    "https://github.com/Amorano/Jovimetrix": [
+        [
+            "ADJUST (JOV) \ud83d\udd78\ufe0f",
+            "AKASHIC (JOV) \ud83d\udcd3",
+            "ARRAY (JOV) \ud83d\udcda",
+            "BLEND (JOV) \u2697\ufe0f",
+            "COLOR BLIND (JOV) \ud83d\udc41\u200d\ud83d\udde8",
+            "COLOR MATCH (JOV) \ud83d\udc9e",
+            "COLOR THEORY (JOV) \ud83d\udede",
+            "COMPARISON (JOV) \ud83d\udd75\ud83c\udffd",
+            "CONSTANT (JOV) \ud83d\udfea",
+            "CROP (JOV) \u2702\ufe0f",
+            "DELAY (JOV) \u270b\ud83c\udffd",
+            "EXPORT (JOV) \ud83d\udcfd",
+            "FILTER MASK (JOV) \ud83e\udd3f",
+            "FLATTEN (JOV) \u2b07\ufe0f",
+            "GLSL (JOV) \ud83c\udf69",
+            "GLSL BLEND LINEAR (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL COLOR CONVERSION (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL COLOR PALETTE (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL CONICAL GRADIENT (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL DIRECTIONAL WARP (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL GRAYSCALE (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL HSV ADJUST (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL NORMAL (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL NORMAL BLEND (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL POSTERIZE (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL TRANSFORM (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GRADIENT MAP (JOV) \ud83c\uddf2\ud83c\uddfa",
+            "GRAPH (JOV) \ud83d\udcc8",
+            "IMAGE INFO (JOV) \ud83d\udcda",
+            "LERP (JOV) \ud83d\udd30",
+            "MIDI FILTER (JOV) \u2733\ufe0f",
+            "MIDI FILTER EZ (JOV) \u2747\ufe0f",
+            "MIDI MESSAGE (JOV) \ud83c\udf9b\ufe0f",
+            "MIDI READER (JOV) \ud83c\udfb9",
+            "OP BINARY (JOV) \ud83c\udf1f",
+            "OP UNARY (JOV) \ud83c\udfb2",
+            "PIXEL MERGE (JOV) \ud83e\udec2",
+            "PIXEL SPLIT (JOV) \ud83d\udc94",
+            "PIXEL SWAP (JOV) \ud83d\udd03",
+            "QUEUE (JOV) \ud83d\uddc3",
+            "QUEUE TOO (JOV) \ud83d\uddc3",
+            "ROUTE (JOV) \ud83d\ude8c",
+            "SAVE OUTPUT (JOV) \ud83d\udcbe",
+            "SHAPE GEN (JOV) \u2728",
+            "SPOUT WRITER (JOV) \ud83c\udfa5",
+            "STACK (JOV) \u2795",
+            "STEREOGRAM (JOV) \ud83d\udcfb",
+            "STEREOSCOPIC (JOV) \ud83d\udd76\ufe0f",
+            "STREAM READER (JOV) \ud83d\udcfa",
+            "STREAM WRITER (JOV) \ud83c\udf9e\ufe0f",
+            "STRINGER (JOV) \ud83e\ude80",
+            "SWIZZLE (JOV) \ud83d\ude35",
+            "TEXT GEN (JOV) \ud83d\udcdd",
+            "THRESHOLD (JOV) \ud83d\udcc9",
+            "TICK (JOV) \u23f1",
+            "TRANSFORM (JOV) \ud83c\udfdd\ufe0f",
+            "VALUE (JOV) \ud83e\uddec",
+            "WAVE GEN (JOV) \ud83c\udf0a",
+            "WAVE GRAPH (JOV) \u25b6 \u0131l\u0131\u0131l\u0131"
+        ],
+        {
+            "author": "amorano",
+            "description": "Integrates Webcam, MIDI, Spout and GLSL shader support. Animation",
+            "nodename_pattern": " \\(JOV\\)$",
+            "title": "Jovimetrix",
+            "title_aux": "Jovimetrix Composition Nodes"
+        }
+    ],
+    "https://github.com/Anibaaal/ComfyUI-UX-Nodes": [
+        [
+            "CheckpointLoaderBNB",
+            "EasyResolutionPicker",
+            "ModelSave",
+            "UNETLoaderBNB"
+        ],
+        {
+            "title_aux": "ComfyUI UX Nodes"
+        }
+    ],
+    "https://github.com/AonekoSS/ComfyUI-LoRA-Tuner": [
+        [
+            "LoraTuner"
+        ],
+        {
+            "title_aux": "ComfyUI-LoRA-Tuner"
+        }
+    ],
+    "https://github.com/AonekoSS/ComfyUI-SimpleCounter": [
+        [
+            "Simple Counter"
+        ],
+        {
+            "title_aux": "ComfyUI-SimpleCounter"
+        }
+    ],
+    "https://github.com/ArcherFMY/Diffusion360_ComfyUI": [
+        [
+            "Diffusion360LoaderImage2Pano",
+            "Diffusion360LoaderText2Pano",
+            "Diffusion360Sampler",
+            "Diffusion360SamplerImage2Pano",
+            "Diffusion360SamplerText2Pano",
+            "InputImage",
+            "InputText",
+            "VAEDecodeTiledBlended"
+        ],
+        {
+            "title_aux": "Diffusion360_ComfyUI"
+        }
+    ],
+    "https://github.com/ArdeniusAI/CPlus_Ardenius": [
+        [
+            "Control_Box"
+        ],
+        {
+            "author": "initials AMA",
+            "description": "CPlus control box is designed to gather workflow variables into 1 node for easier control of your workflow.",
+            "nickname": "Ardenius",
+            "title": "Ardenius",
+            "title_aux": "CPlus_Ardenius ComfyUI Control Box"
+        }
+    ],
+    "https://github.com/ArtBot2023/CharacterFaceSwap": [
+        [
+            "Color Blend",
+            "Crop Face",
+            "Exclude Facial Feature",
+            "Generation Parameter Input",
+            "Generation Parameter Output",
+            "Image Full BBox",
+            "Load BiseNet",
+            "Load RetinaFace",
+            "Mask Contour",
+            "Segment Face",
+            "Uncrop Face"
+        ],
+        {
+            "title_aux": "Character Face Swap"
+        }
+    ],
+    "https://github.com/ArtVentureX/comfyui-animatediff": [
+        [
+            "AnimateDiffCombine",
+            "AnimateDiffLoraLoader",
+            "AnimateDiffModuleLoader",
+            "AnimateDiffSampler",
+            "AnimateDiffSlidingWindowOptions",
+            "ImageSizeAndBatchSize",
+            "LoadVideo"
+        ],
+        {
+            "title_aux": "AnimateDiff"
+        }
+    ],
+    "https://github.com/AshMartian/ComfyUI-DirGir": [
+        [
+            "Dir_Gir_Looper",
+            "Dir_Gir_Picker",
+            "Gir_Image_Nabber"
+        ],
+        {
+            "title_aux": "Dir Gir"
+        }
+    ],
+    "https://github.com/AuroBit/ComfyUI-AnimateAnyone-reproduction": [
+        [
+            "AnimateAnyone"
+        ],
+        {
+            "title_aux": "ComfyUI-AnimateAnyone-reproduction"
+        }
+    ],
+    "https://github.com/AustinMroz/ComfyUI-DynamicOversampling": [
+        [
+            "DynamicSampler",
+            "MeasuredSampler",
+            "ResolveMaskPromise"
+        ],
+        {
+            "title_aux": "DynamicOversampling"
+        }
+    ],
+    "https://github.com/AustinMroz/ComfyUI-SpliceTools": [
+        [
+            "LogSigmas",
+            "RerangeSigmas",
+            "SpliceDenoised",
+            "SpliceLatents",
+            "TemporalSplice"
+        ],
+        {
+            "title_aux": "SpliceTools"
+        }
+    ],
+    "https://github.com/Auttasak-L/ComfyUI-ImageCropper": [
+        [
+            "ImageCropper"
+        ],
+        {
+            "title_aux": "ComfyUI-ImageCropper"
+        }
+    ],
+    "https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader": [
+        [
+            "RSSFeedNode"
+        ],
+        {
+            "title_aux": "ComfyUI_RSS_Feed_Reader"
+        }
+    ],
+    "https://github.com/BXYMartin/ComfyUI-InstantIDUtils": [
+        [
+            "ListOfImages",
+            "MultiControlNetConverter",
+            "NHWC2NCHWTensor",
+            "NHWCTensor2PIL",
+            "PIL2NHWCTensor"
+        ],
+        {
+            "title_aux": "ComfyUI-InstantIDUtils"
+        }
+    ],
+    "https://github.com/BadCafeCode/masquerade-nodes-comfyui": [
+        [
+            "Blur",
+            "Change Channel Count",
+            "Combine Masks",
+            "Constant Mask",
+            "Convert Color Space",
+            "Create QR Code",
+            "Create Rect Mask",
+            "Cut By Mask",
+            "Get Image Size",
+            "Image To Mask",
+            "Make Image Batch",
+            "Mask By Text",
+            "Mask Morphology",
+            "Mask To Region",
+            "MasqueradeIncrementer",
+            "Mix Color By Mask",
+            "Mix Images By Mask",
+            "Paste By Mask",
+            "Prune By Mask",
+            "Separate Mask Components",
+            "Unary Image Op",
+            "Unary Mask Op"
+        ],
+        {
+            "title_aux": "Masquerade Nodes"
+        }
+    ],
+    "https://github.com/Beinsezii/bsz-cui-extras": [
+        [
+            "BSZAbsoluteHires",
+            "BSZAspectHires",
+            "BSZColoredLatentImageXL",
+            "BSZCombinedHires",
+            "BSZHueChromaXL",
+            "BSZInjectionKSampler",
+            "BSZLatentDebug",
+            "BSZLatentFill",
+            "BSZLatentGradient",
+            "BSZLatentHSVAImage",
+            "BSZLatentOffsetXL",
+            "BSZLatentRGBAImage",
+            "BSZLatentbuster",
+            "BSZPixelbuster",
+            "BSZPixelbusterHelp",
+            "BSZPrincipledConditioning",
+            "BSZPrincipledSampler",
+            "BSZPrincipledScale",
+            "BSZStrangeResample"
+        ],
+        {
+            "title_aux": "bsz-cui-extras"
+        }
+    ],
+    "https://github.com/BenNarum/ComfyUI_CAS": [
+        [
+            "AttentionToSigmas",
+            "AttenuatorNode",
+            "BasicCFGGuider",
+            "CELU",
+            "CustomAdvancedSampler",
+            "CustomLCMCFGPP",
+            "CustomModelSamplingDiscreteDistilledAncestralCFGPP",
+            "CustomModelSamplingDiscreteDistilledCFGPP",
+            "CustomX0AncestralCFGPP",
+            "CustomX0CFGPP",
+            "ELU",
+            "EPSCFGPPScheduler",
+            "GELU",
+            "GLU",
+            "HardTanhScheduler",
+            "Hardshrink",
+            "Hardsigmoid",
+            "Hardswish",
+            "Hardtanh",
+            "LatentActivation",
+            "LatentChannelPresets",
+            "LatentConvolution",
+            "LatentFFT",
+            "LatentFrequencyPresets",
+            "LatentGlitch",
+            "LatentMath",
+            "LatentMathFormulaBuilder",
+            "LatentMosaic",
+            "LatentNoisePresets",
+            "LatentPixelSort",
+            "LatentSelfAttention",
+            "LatentTwist",
+            "LatentValuePresets",
+            "LatentWarpPresets",
+            "LeakyReLU",
+            "LogSigmoid",
+            "LogSoftmax",
+            "Mish",
+            "PReLU",
+            "RReLU",
+            "ReLU",
+            "ReLU6",
+            "SELU",
+            "SamplerCustomLCMCFGPP",
+            "SamplerCustomModelSamplingDiscreteDistilledAncestralCFGPP",
+            "SamplerCustomModelSamplingDiscreteDistilledCFGPP",
+            "SamplerCustomX0AncestralCFGPP",
+            "SamplerCustomX0CFGPP",
+            "SamplerDPMCFGPP",
+            "SamplerDynamicCFGPP",
+            "SamplerEulerAttnCFGPP",
+            "SamplerEulerStepControlAncestralCFGPP",
+            "SamplerHeunCFGPP",
+            "SamplerLCMUpscaleW",
+            "SamplerLCMUpscaleWCFGPP",
+            "SamplerLCMUpscaleWGPU",
+            "SamplerStepSizeControlCFGPP",
+            "SamplerWeightedCFGPP",
+            "SiLU",
+            "Softmax",
+            "Softmax2D",
+            "SoftmaxScheduler",
+            "Softmin",
+            "Softplus",
+            "Softshrink",
+            "Softsign",
+            "Tanh",
+            "Tanhshrink",
+            "Threshold",
+            "tcd_euler_a_w",
+            "tcd_w"
+        ],
+        {
+            "title_aux": "ComfyUI_CAS"
+        }
+    ],
+    "https://github.com/BenNarum/SigmaWaveFormNode": [
+        [
+            "AttenuatorNode",
+            "FourierFilterNode",
+            "PhaseLockedLoopNode",
+            "SigmaWaveFormNode",
+            "SigmaWaveFormNodeAdvanced",
+            "SigmaWaveFormNodeSimple"
+        ],
+        {
+            "title_aux": "SigmaWaveFormNodes"
+        }
+    ],
+    "https://github.com/BennyKok/comfyui-deploy": [
+        [
+            "ComfyDeployWebscoketImageInput",
+            "ComfyDeployWebscoketImageOutput",
+            "ComfyUIDeployExternalBoolean",
+            "ComfyUIDeployExternalCheckpoint",
+            "ComfyUIDeployExternalImage",
+            "ComfyUIDeployExternalImageAlpha",
+            "ComfyUIDeployExternalImageBatch",
+            "ComfyUIDeployExternalLora",
+            "ComfyUIDeployExternalNumber",
+            "ComfyUIDeployExternalNumberInt",
+            "ComfyUIDeployExternalNumberSlider",
+            "ComfyUIDeployExternalText",
+            "ComfyUIDeployExternalTextList",
+            "ComfyUIDeployExternalVid",
+            "ComfyUIDeployExternalVideo"
+        ],
+        {
+            "author": "BennyKok",
+            "description": "",
+            "nickname": "Comfy Deploy",
+            "title": "comfyui-deploy",
+            "title_aux": "ComfyUI Deploy"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding": [
+        [
+            "GatchaEmbedding"
+        ],
+        {
+            "title_aux": "Gatcha Embeddings"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-VideoPlayer": [
+        [
+            "AllInOnePlayer",
+            "ImageToEmoji",
+            "LoadFrame",
+            "LoadJPGFrame",
+            "LoadVideoFrame"
+        ],
+        {
+            "title_aux": "ComfyUI Video Player"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-WDV-Nodes": [
+        [
+            "ModelSamplingWaifuDiffusionV"
+        ],
+        {
+            "title_aux": "neggles/ComfyUI-WDV-Nodes [gist-wrapper]"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-YetAnotherSafetyChecker": [
+        [
+            "YetAnotherSafetyChecker"
+        ],
+        {
+            "title_aux": "ComfyUI YetAnotherSafetyChecker"
+        }
+    ],
+    "https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools": [
+        [
+            "BTPromptSchedule",
+            "BTPromptSelector",
+            "EndQueue",
+            "ImageTextOverlay",
+            "Loop",
+            "LoopEnd",
+            "LoopStart"
+        ],
+        {
+            "title_aux": "ComfyUI-Book-Tools Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/Big-Idea-Technology/ComfyUI_LLM_Node": [
+        [
+            "AdvOptions_Node",
+            "CodingOptionsNode",
+            "LLM_Node",
+            "Output_Node",
+            "QuantizationConfig_Node"
+        ],
+        {
+            "title_aux": "LLM Node for ComfyUI"
+        }
+    ],
+    "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions/raw/main/EXT_AudioManipulation.py": [
+        [
+            "BatchJoinAudio",
+            "CutAudio",
+            "DuplicateAudio",
+            "JoinAudio",
+            "ResampleAudio",
+            "ReverseAudio",
+            "StretchAudio"
+        ],
+        {
+            "title_aux": "Waveform Extensions"
+        }
+    ],
+    "https://github.com/Billius-AI/ComfyUI-Path-Helper": [
+        [
+            "Add File Name Prefix",
+            "Add File Name Prefix Advanced",
+            "Add Folder",
+            "Add Folder Advanced",
+            "Create Project Root",
+            "Join Variables",
+            "Show Path",
+            "Show String"
+        ],
+        {
+            "title_aux": "ComfyUI-Path-Helper"
+        }
+    ],
+    "https://github.com/Bin-sam/DynamicPose-ComfyUI": [
+        [
+            "DynamicPose_Sampler",
+            "Load_Pose_Guider",
+            "Load_denoising_unet",
+            "Load_reference_unet",
+            "Pose_Guider_Encode",
+            "align",
+            "load_pose_model",
+            "pose_extraction"
+        ],
+        {
+            "title_aux": "DynamicPose-ComfyUI"
+        }
+    ],
+    "https://github.com/BlakeOne/ComfyUI-CustomScheduler": [
+        [
+            "CustomScheduler"
+        ],
+        {
+            "title_aux": "ComfyUI CustomScheduler"
+        }
+    ],
+    "https://github.com/BlakeOne/ComfyUI-SchedulerMixer": [
+        [
+            "SchedulerMixer"
+        ],
+        {
+            "title_aux": "ComfyUI SchedulerMixer"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb": [
+        [
+            "BNK_AddCLIPSDXLParams",
+            "BNK_AddCLIPSDXLRParams",
+            "BNK_CLIPTextEncodeAdvanced",
+            "BNK_CLIPTextEncodeSDXLAdvanced"
+        ],
+        {
+            "title_aux": "Advanced CLIP Text Encode"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_Cutoff": [
+        [
+            "BNK_CutoffBasePrompt",
+            "BNK_CutoffRegionsToConditioning",
+            "BNK_CutoffRegionsToConditioning_ADV",
+            "BNK_CutoffSetRegions"
+        ],
+        {
+            "title_aux": "ComfyUI Cutoff"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_Noise": [
+        [
+            "BNK_DuplicateBatchIndex",
+            "BNK_GetSigma",
+            "BNK_InjectNoise",
+            "BNK_NoisyLatentImage",
+            "BNK_SlerpLatent",
+            "BNK_Unsampler"
+        ],
+        {
+            "title_aux": "ComfyUI Noise"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_SeeCoder": [
+        [
+            "ConcatConditioning",
+            "SEECoderImageEncode"
+        ],
+        {
+            "title_aux": "SeeCoder [WIP]"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_TiledKSampler": [
+        [
+            "BNK_TiledKSampler",
+            "BNK_TiledKSamplerAdvanced"
+        ],
+        {
+            "title_aux": "Tiled sampling for ComfyUI"
+        }
+    ],
+    "https://github.com/CC-BryanOttho/ComfyUI_API_Manager": [
+        [
+            "APIRequestNode",
+            "PostImageToAPI",
+            "TextPromptCombinerNode"
+        ],
+        {
+            "title_aux": "ComfyUI_API_Manager"
+        }
+    ],
+    "https://github.com/CYBERLOOM-INC/ComfyUI-nodes-hnmr": [
+        [
+            "CLIPIter",
+            "Dict2Model",
+            "GridImage",
+            "ImageBlend2",
+            "KSamplerOverrided",
+            "KSamplerSetting",
+            "KSamplerXYZ",
+            "LatentToHist",
+            "LatentToImage",
+            "ModelIter",
+            "RandomLatentImage",
+            "SaveStateDict",
+            "SaveText",
+            "StateDictLoader",
+            "StateDictMerger",
+            "StateDictMergerBlockWeighted",
+            "StateDictMergerBlockWeightedMulti",
+            "VAEDecodeBatched",
+            "VAEEncodeBatched",
+            "VAEIter"
+        ],
+        {
+            "title_aux": "ComfyUI-nodes-hnmr"
+        }
+    ],
+    "https://github.com/CaptainGrock/ComfyUIInvisibleWatermark/raw/main/Invisible%20Watermark.py": [
+        [
+            "Apply Invisible Watermark",
+            "Extract Watermark"
+        ],
+        {
+            "title_aux": "ComfyUIInvisibleWatermark"
+        }
+    ],
+    "https://github.com/Chan-0312/ComfyUI-EasyDeforum": [
+        [
+            "Easy2DDeforum"
+        ],
+        {
+            "title_aux": "ComfyUI-EasyDeforum"
+        }
+    ],
+    "https://github.com/Chan-0312/ComfyUI-IPAnimate": [
+        [
+            "IPAdapterAnimate"
+        ],
+        {
+            "title_aux": "ComfyUI-IPAnimate"
+        }
+    ],
+    "https://github.com/Chan-0312/ComfyUI-Prompt-Preview": [
+        [
+            "SDXLPromptStylerAdvancedPreview",
+            "SDXLPromptStylerPreview"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompt-Preview"
+        }
+    ],
+    "https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes": [
+        [
+            "ImageToPIL",
+            "LoadImageFromPath",
+            "PILToImage",
+            "PILToMask"
+        ],
+        {
+            "title_aux": "ComfyUI_Ib_CustomNodes"
+        }
+    ],
+    "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor": [
+        [
+            "Resource Monitor"
+        ],
+        {
+            "title_aux": "ComfyUI-Elegant-Resource-Monitor"
+        }
+    ],
+    "https://github.com/ChrisColeTech/ComfyUI-Line-counter": [
+        [
+            "Directory File Counter",
+            "Simple Number Counter",
+            "Text File Line Counter"
+        ],
+        {
+            "title_aux": "ComfyUI-Line-counter"
+        }
+    ],
+    "https://github.com/Clybius/ComfyUI-Extra-Samplers": [
+        [
+            "GeometricCFGGuider",
+            "ImageAssistedCFGGuider",
+            "MegaCFGGuider",
+            "SamplerCLYB_4M_SDE_Momentumized",
+            "SamplerCustomModelMixtureDuo",
+            "SamplerCustomNoise",
+            "SamplerCustomNoiseDuo",
+            "SamplerDPMPP_3M_SDE_DynETA",
+            "SamplerDPMPP_DualSDE_Momentumized",
+            "SamplerEulerAncestralDancing_Experimental",
+            "SamplerLCMCustom",
+            "SamplerRES_Momentumized",
+            "SamplerSupreme",
+            "SamplerTTM",
+            "ScaledCFGGuider",
+            "SimpleExponentialScheduler",
+            "WarmupDecayCFGGuider"
+        ],
+        {
+            "title_aux": "ComfyUI Extra Samplers"
+        }
+    ],
+    "https://github.com/Clybius/ComfyUI-Latent-Modifiers": [
+        [
+            "Latent Diffusion Mega Modifier"
+        ],
+        {
+            "title_aux": "ComfyUI-Latent-Modifiers"
+        }
+    ],
+    "https://github.com/CosmicLaca/ComfyUI_Primere_Nodes": [
+        [
+            "PrimereAestheticCKPTScorer",
+            "PrimereAnyDetailer",
+            "PrimereAnyOutput",
+            "PrimereCKPT",
+            "PrimereCKPTLoader",
+            "PrimereCLIPEncoder",
+            "PrimereClearPrompt",
+            "PrimereConceptDataTuple",
+            "PrimereDynamicParser",
+            "PrimereEmbedding",
+            "PrimereEmbeddingHandler",
+            "PrimereEmbeddingKeywordMerger",
+            "PrimereEmotionsStyles",
+            "PrimereHypernetwork",
+            "PrimereImageSegments",
+            "PrimereKSampler",
+            "PrimereLCMSelector",
+            "PrimereLORA",
+            "PrimereLYCORIS",
+            "PrimereLatentNoise",
+            "PrimereLoraKeywordMerger",
+            "PrimereLoraStackMerger",
+            "PrimereLycorisKeywordMerger",
+            "PrimereLycorisStackMerger",
+            "PrimereMetaCollector",
+            "PrimereMetaDistributor",
+            "PrimereMetaDistributorStage2",
+            "PrimereMetaHandler",
+            "PrimereMetaRead",
+            "PrimereMetaSave",
+            "PrimereMetaTupleCollector",
+            "PrimereMidjourneyStyles",
+            "PrimereModelConceptSelector",
+            "PrimereModelKeyword",
+            "PrimereNetworkDataCollector",
+            "PrimereNetworkTagLoader",
+            "PrimerePreviewImage",
+            "PrimerePrompt",
+            "PrimerePromptOrganizer",
+            "PrimerePromptSwitch",
+            "PrimereRefinerPrompt",
+            "PrimereResolution",
+            "PrimereResolutionCoordinatorMPX",
+            "PrimereResolutionMultiplier",
+            "PrimereResolutionMultiplierMPX",
+            "PrimereSamplers",
+            "PrimereSamplersSteps",
+            "PrimereSeed",
+            "PrimereStepsCfg",
+            "PrimereStyleLoader",
+            "PrimereStylePile",
+            "PrimereTextOutput",
+            "PrimereUpscaleModel",
+            "PrimereVAE",
+            "PrimereVAELoader",
+            "PrimereVAESelector",
+            "PrimereVisualCKPT",
+            "PrimereVisualEmbedding",
+            "PrimereVisualHypernetwork",
+            "PrimereVisualLORA",
+            "PrimereVisualLYCORIS",
+            "PrimereVisualStyle"
+        ],
+        {
+            "title_aux": "Primere nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/Cyber-BCat/ComfyUI_Auto_Caption": [
+        [
+            "Auto Caption",
+            "Joy Model load",
+            "LoadManyImages"
+        ],
+        {
+            "title_aux": "ComfyUI_Auto_Caption"
+        }
+    ],
+    "https://github.com/Cyber-Blacat/ComfyUI-Yuan": [
+        [
+            "Image Judgment",
+            "ImageMinusMask",
+            "Yuan",
+            "Yuan Transfer",
+            "YuanBW"
+        ],
+        {
+            "title_aux": "ComfyUI-Yuan"
+        }
+    ],
+    "https://github.com/Cyberschorsch/ComfyUI-checkpoint-config-loader": [
+        [
+            "Checkpoint Loader Config"
+        ],
+        {
+            "title_aux": "ComfyUI Checkpoint Loader Config"
+        }
+    ],
+    "https://github.com/Danand/ComfyUI-ComfyCouple": [
+        [
+            "Attention couple",
+            "Comfy Couple"
+        ],
+        {
+            "author": "Rei D.",
+            "description": "If you want to draw two different characters together without blending their features, so you could try to check out this custom node.",
+            "nickname": "Danand",
+            "title": "Comfy Couple",
+            "title_aux": "Comfy Couple"
+        }
+    ],
+    "https://github.com/DanielHabib/ComfyUI-Voxels": [
+        [
+            "ImageBatchToImageList",
+            "MaskBatchToMaskList",
+            "MeshToVoxel",
+            "VoxelBlockLoader",
+            "VoxelBlockSaver",
+            "VoxelBlocksIntoVoxelVideo",
+            "VoxelVideoAPIInputNode",
+            "VoxelVideoLoader",
+            "VoxelVideoPreview",
+            "VoxelVideoViewer",
+            "VoxelViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Voxels"
+        }
+    ],
+    "https://github.com/DannyStone1999/ComfyUI-Depth2Mask/raw/main/Depth2Mask.py": [
+        [
+            "Depth2Mask"
+        ],
+        {
+            "title_aux": "ComfyUI-Depth2Mask"
+        }
+    ],
+    "https://github.com/DataCTE/prompt_injection": [
+        [
+            "AdvancedPromptInjection",
+            "PromptInjection",
+            "SVDPromptInjection",
+            "SimplePromptInjection"
+        ],
+        {
+            "title_aux": "Prompt Injection Node for ComfyUI"
+        }
+    ],
+    "https://github.com/DeJoker/pipeline-parallel-comfy": [
+        [
+            "PipelineParallel"
+        ],
+        {
+            "title_aux": "Pipeline Parallel ComfyUI"
+        }
+    ],
+    "https://github.com/Derfuu/Derfuu_ComfyUI_ModdedNodes": [
+        [],
+        {
+            "author": "Derfuu",
+            "description": "Pack of simple (or not) and modded nodes for scaling images/latents, editing numbers or text. Automate calculations depending on image sizes or any other thing you want. Or randomize any number in your workflow. Debug node included.",
+            "nickname": "Derfuu simple/modded Nodes",
+            "nodename_pattern": "^DF_",
+            "title": "Derfuu simple/modded Nodes",
+            "title_aux": "Derfuu_ComfyUI_ModdedNodes"
+        }
+    ],
+    "https://github.com/Dobidop/ComfyStereo": [
+        [
+            "LazyStereo",
+            "StereoImageNode"
+        ],
+        {
+            "title_aux": "Dobidop ComfyStereo"
+        }
+    ],
+    "https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes": [
+        [
+            "ApplySerialPrompter",
+            "ImageSizer",
+            "SerialPrompter"
+        ],
+        {
+            "author": "CRE8IT GmbH",
+            "description": "This extension offers various nodes.",
+            "nickname": "cre8Nodes",
+            "title": "cr8SerialPrompter",
+            "title_aux": "ComfyUI-Cre8it-Nodes"
+        }
+    ],
+    "https://github.com/DrMWeigand/ComfyUI_ColorImageDetection": [
+        [
+            "LABColorDetection",
+            "RGBColorDetection"
+        ],
+        {
+            "title_aux": "ComfyUI Color Detection Nodes"
+        }
+    ],
+    "https://github.com/EeroHeikkinen/ComfyUI-eesahesNodes": [
+        [
+            "InstantX Flux Union ControlNet Loader"
+        ],
+        {
+            "author": "eesahe",
+            "description": "InstantX's Flux union ControlNet loader and implementation",
+            "nickname": "eesahesNodes",
+            "title": "eesahe's Nodes",
+            "title_aux": "ComfyUI-eesahesNodes"
+        }
+    ],
+    "https://github.com/Electrofried/ComfyUI-OpenAINode": [
+        [
+            "OpenAINode"
+        ],
+        {
+            "title_aux": "OpenAINode"
+        }
+    ],
+    "https://github.com/EllangoK/ComfyUI-post-processing-nodes": [
+        [
+            "ArithmeticBlend",
+            "AsciiArt",
+            "Blend",
+            "Blur",
+            "CannyEdgeMask",
+            "ChromaticAberration",
+            "ColorCorrect",
+            "ColorTint",
+            "Dissolve",
+            "Dither",
+            "DodgeAndBurn",
+            "FilmGrain",
+            "Glow",
+            "HSVThresholdMask",
+            "KMeansQuantize",
+            "KuwaharaBlur",
+            "Parabolize",
+            "PencilSketch",
+            "PixelSort",
+            "Pixelize",
+            "Quantize",
+            "Sharpen",
+            "SineWave",
+            "Solarize",
+            "Vignette"
+        ],
+        {
+            "title_aux": "ComfyUI-post-processing-nodes"
+        }
+    ],
+    "https://github.com/EnragedAntelope/ComfyUI-Doubutsu-Describer": [
+        [
+            "DoubutsuDescriber"
+        ],
+        {
+            "title_aux": "ComfyUI-Doubutsu-Describer"
+        }
+    ],
+    "https://github.com/Excidos/ComfyUI-Documents": [
+        [
+            "ChunkRouter",
+            "DocumentLoader",
+            "ImageSelector",
+            "PDFPageSplitter",
+            "PDFToImage",
+            "TextChunker"
+        ],
+        {
+            "title_aux": "ComfyUI-Documents"
+        }
+    ],
+    "https://github.com/Excidos/ComfyUI-Lumina-Next-SFT-DiffusersWrapper": [
+        [
+            "LuminaDiffusersNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Lumina-Next-SFT-DiffusersWrapper"
+        }
+    ],
+    "https://github.com/ExponentialML/ComfyUI_ModelScopeT2V": [
+        [
+            "ModelScopeT2VLoader"
+        ],
+        {
+            "title_aux": "ComfyUI_ModelScopeT2V"
+        }
+    ],
+    "https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter": [
+        [
+            "DynamiCrafterLoader",
+            "DynamiCrafterProcessor"
+        ],
+        {
+            "title_aux": "ComfyUI - Native DynamiCrafter"
+        }
+    ],
+    "https://github.com/ExponentialML/ComfyUI_VisualStylePrompting": [
+        [
+            "ApplyVisualStyle"
+        ],
+        {
+            "title_aux": "ComfyUI_VisualStylePrompting"
+        }
+    ],
+    "https://github.com/ExterminanzHS/Gecco-Discord-Autosend": [
+        [
+            "GeccoAutosend",
+            "GeccoImageSave",
+            "GeccoSelectchannel"
+        ],
+        {
+            "title_aux": "Gecco Discord Autosend"
+        }
+    ],
+    "https://github.com/Extraltodeus/CLIP-Token-Injection": [
+        [
+            "CLIP load custom tokens",
+            "CLIP save custom tokens",
+            "CLIP token injection"
+        ],
+        {
+            "title_aux": "CLIP-Token-Injection"
+        }
+    ],
+    "https://github.com/Extraltodeus/ComfyUI-AutomaticCFG": [
+        [
+            "Automatic CFG",
+            "Automatic CFG - Advanced",
+            "Automatic CFG - Attention modifiers",
+            "Automatic CFG - Attention modifiers tester",
+            "Automatic CFG - Custom attentions",
+            "Automatic CFG - Excellent attention",
+            "Automatic CFG - Negative",
+            "Automatic CFG - Post rescale only",
+            "Automatic CFG - Preset Loader",
+            "Automatic CFG - Unpatch function",
+            "Automatic CFG - Warp Drive",
+            "SAG delayed activation",
+            "Temperature separate settings CLIP SDXL",
+            "Temperature settings CLIP",
+            "Temperature settings SD 1.5",
+            "Temperature settings SDXL",
+            "Zero Uncond CFG - standalone patch (incompatible with the others)"
+        ],
+        {
+            "title_aux": "ComfyUI-AutomaticCFG"
+        }
+    ],
+    "https://github.com/Extraltodeus/LoadLoraWithTags": [
+        [
+            "LoraLoaderTagsQuery"
+        ],
+        {
+            "title_aux": "LoadLoraWithTags"
+        }
+    ],
+    "https://github.com/Extraltodeus/Skimmed_CFG": [
+        [
+            "Skimmed CFG",
+            "Skimmed CFG - Clean Skim",
+            "Skimmed CFG - Difference CFG",
+            "Skimmed CFG - Timed flip",
+            "Skimmed CFG - linear interpolation",
+            "Skimmed CFG - linear interpolation dual scales",
+            "Skimmed CFG - replace"
+        ],
+        {
+            "title_aux": "DistanceSampler"
+        }
+    ],
+    "https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings": [
+        [
+            "CLIP Temperature",
+            "Unet Temperature"
+        ],
+        {
+            "title_aux": "Stable-Diffusion-temperature-settings"
+        }
+    ],
+    "https://github.com/Extraltodeus/Uncond-Zero-for-ComfyUI": [
+        [
+            "Conditioning combine positive and negative",
+            "Conditioning crop or fill",
+            "Uncond Zero",
+            "interrupt on NaN"
+        ],
+        {
+            "title_aux": "Uncond-Zero-for-ComfyUI"
+        }
+    ],
+    "https://github.com/Extraltodeus/Vector_Sculptor_ComfyUI": [
+        [
+            "CLIP Vector Sculptor text encode",
+            "Conditioning (Average keep magnitude)",
+            "Conditioning (Slerp)",
+            "Conditioning SDXL merge clip_g / clip_l",
+            "Conditioning normalize magnitude to empty"
+        ],
+        {
+            "title_aux": "Vector_Sculptor_ComfyUI"
+        }
+    ],
+    "https://github.com/Extraltodeus/noise_latent_perlinpinpin": [
+        [
+            "NoisyLatentPerlin",
+            "NoisyLatentPerlin16ch"
+        ],
+        {
+            "title_aux": "noise latent perlinpinpin"
+        }
+    ],
+    "https://github.com/Extraltodeus/sigmas_tools_and_the_golden_scheduler": [
+        [
+            "Aligned Scheduler",
+            "Gaussian Tail Scheduler",
+            "Get sigmas as float",
+            "Graph sigmas",
+            "Manual scheduler",
+            "Merge many sigmas by average",
+            "Merge sigmas by average",
+            "Merge sigmas gradually",
+            "Multiply sigmas",
+            "Output min/max sigmas",
+            "Split and concatenate sigmas",
+            "The Golden Scheduler"
+        ],
+        {
+            "title_aux": "sigmas_tools_and_the_golden_scheduler"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-Frame-Interpolation": [
+        [
+            "AMT VFI",
+            "CAIN VFI",
+            "FILM VFI",
+            "FLAVR VFI",
+            "GMFSS Fortuna VFI",
+            "IFRNet VFI",
+            "IFUnet VFI",
+            "KSampler Gradually Adding More Denoise (efficient)",
+            "M2M VFI",
+            "Make Interpolation State List",
+            "RIFE VFI",
+            "STMFNet VFI",
+            "Sepconv VFI",
+            "VFI FloatToInt"
+        ],
+        {
+            "title_aux": "ComfyUI Frame Interpolation"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-Loopchain": [
+        [
+            "EmptyLatentImageLoop",
+            "FolderToImageStorage",
+            "ImageStorageExportLoop",
+            "ImageStorageImport",
+            "ImageStorageReset",
+            "LatentStorageExportLoop",
+            "LatentStorageImport",
+            "LatentStorageReset"
+        ],
+        {
+            "title_aux": "ComfyUI Loopchain"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-MagickWand": [
+        [
+            "ImageMagick Adaptive Blur",
+            "ImageMagick Adaptive Resize",
+            "ImageMagick Adaptive Sharpen",
+            "ImageMagick Adaptive Threshold",
+            "ImageMagick Auto Gamma",
+            "ImageMagick Auto Level",
+            "ImageMagick Auto Orient",
+            "ImageMagick Auto Threshold",
+            "ImageMagick Blue Shift",
+            "ImageMagick Blur",
+            "ImageMagick Brightness Contrast",
+            "ImageMagick Canny",
+            "ImageMagick Charcoal",
+            "ImageMagick Chop",
+            "ImageMagick Clahe",
+            "ImageMagick Clamp",
+            "ImageMagick Coalesce",
+            "ImageMagick Color Decision List",
+            "ImageMagick Color Matrix",
+            "ImageMagick Combine",
+            "ImageMagick Concat",
+            "ImageMagick Contrast",
+            "ImageMagick Contrast Stretch",
+            "ImageMagick Crop",
+            "ImageMagick Cycle Color Map",
+            "ImageMagick Decipher",
+            "ImageMagick Despeckle",
+            "ImageMagick Distort",
+            "ImageMagick Edge",
+            "ImageMagick Emboss",
+            "ImageMagick Encipher",
+            "ImageMagick Enhance",
+            "ImageMagick Equalize",
+            "ImageMagick Evaluate",
+            "ImageMagick Extent",
+            "ImageMagick Flip",
+            "ImageMagick Flop",
+            "ImageMagick Forward Fourier Transform",
+            "ImageMagick Function",
+            "ImageMagick Gamma",
+            "ImageMagick Gaussian Blur",
+            "ImageMagick Hough Lines",
+            "ImageMagick Implode",
+            "ImageMagick Kmeans",
+            "ImageMagick Kuwahara",
+            "ImageMagick Level",
+            "ImageMagick Levelize",
+            "ImageMagick Linear Stretch",
+            "ImageMagick Liquid Rescale",
+            "ImageMagick Local Contrast",
+            "ImageMagick Magnify",
+            "ImageMagick Mean Shift",
+            "ImageMagick Merge Layers",
+            "ImageMagick Mode",
+            "ImageMagick Modulate",
+            "ImageMagick Morphology",
+            "ImageMagick Motion Blur",
+            "ImageMagick Negate",
+            "ImageMagick Noise",
+            "ImageMagick Normalize",
+            "ImageMagick Oil Paint",
+            "ImageMagick Ordered Dither",
+            "ImageMagick Polynomial",
+            "ImageMagick Posterize",
+            "ImageMagick Quantize",
+            "ImageMagick Random Threshold",
+            "ImageMagick Range Threshold",
+            "ImageMagick Resample",
+            "ImageMagick Resize",
+            "ImageMagick Roll",
+            "ImageMagick Rotational Blur",
+            "ImageMagick Sample",
+            "ImageMagick Scale",
+            "ImageMagick Selective Blur",
+            "ImageMagick Sepia Tone",
+            "ImageMagick Shade",
+            "ImageMagick Shadow",
+            "ImageMagick Sharpen",
+            "ImageMagick Shave",
+            "ImageMagick Sigmoidal Contrast",
+            "ImageMagick Sketch",
+            "ImageMagick Smush",
+            "ImageMagick Solarize",
+            "ImageMagick Splice",
+            "ImageMagick Spread",
+            "ImageMagick Statistic",
+            "ImageMagick Swirl",
+            "ImageMagick Threshold",
+            "ImageMagick Thumbnail",
+            "ImageMagick Transform",
+            "ImageMagick Transform Colorspace",
+            "ImageMagick Transparentize",
+            "ImageMagick Transpose",
+            "ImageMagick Transverse",
+            "ImageMagick Unsharp Mask",
+            "ImageMagick Vignette",
+            "ImageMagick Wave",
+            "ImageMagick Wavelet Denoise",
+            "ImageMagick White Balance"
+        ],
+        {
+            "title_aux": "ComfyUI-MagickWand"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-MotionDiff": [
+        [
+            "EmptyMotionData",
+            "ExportSMPLTo3DSoftware",
+            "Export_SMPLMultipleSubjects_To_3DSoftware",
+            "Human4D_Img2SMPL",
+            "Humans4DLoader",
+            "MotionCLIPTextEncode",
+            "MotionDataVisualizer",
+            "MotionDiffLoader",
+            "MotionDiffSimpleSampler",
+            "RenderMultipleSubjectsSMPLMesh",
+            "RenderSMPLMesh",
+            "Render_OpenPose_From_SMPL_Mesh_Multiple_Subjects",
+            "SMPLLoader",
+            "SMPLShapeParameters",
+            "SaveSMPL",
+            "SmplifyMotionData",
+            "SpectreFaceReconLoader",
+            "SpectreImg2SMPL",
+            "mgpt_model_loader",
+            "mgpt_t2m"
+        ],
+        {
+            "title_aux": "ComfyUI MotionDiff"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-Video-Matting": [
+        [
+            "BRIAAI Matting",
+            "Robust Video Matting"
+        ],
+        {
+            "title_aux": "ComfyUI-Video-Matting"
+        }
+    ],
+    "https://github.com/Fannovel16/comfyui_controlnet_aux": [
+        [
+            "AIO_Preprocessor",
+            "AnimalPosePreprocessor",
+            "AnimeFace_SemSegPreprocessor",
+            "AnimeLineArtPreprocessor",
+            "AnyLineArtPreprocessor_aux",
+            "BAE-NormalMapPreprocessor",
+            "BinaryPreprocessor",
+            "CannyEdgePreprocessor",
+            "ColorPreprocessor",
+            "ControlNetAuxSimpleAddText",
+            "ControlNetPreprocessorSelector",
+            "DSINE-NormalMapPreprocessor",
+            "DWPreprocessor",
+            "DensePosePreprocessor",
+            "DepthAnythingPreprocessor",
+            "DepthAnythingV2Preprocessor",
+            "DiffusionEdge_Preprocessor",
+            "ExecuteAllControlNetPreprocessors",
+            "FacialPartColoringFromPoseKps",
+            "FakeScribblePreprocessor",
+            "HEDPreprocessor",
+            "HintImageEnchance",
+            "ImageGenResolutionFromImage",
+            "ImageGenResolutionFromLatent",
+            "ImageIntensityDetector",
+            "ImageLuminanceDetector",
+            "InpaintPreprocessor",
+            "LeReS-DepthMapPreprocessor",
+            "LineArtPreprocessor",
+            "LineartStandardPreprocessor",
+            "M-LSDPreprocessor",
+            "Manga2Anime_LineArt_Preprocessor",
+            "MaskOptFlow",
+            "MediaPipe-FaceMeshPreprocessor",
+            "MeshGraphormer+ImpactDetector-DepthMapPreprocessor",
+            "MeshGraphormer-DepthMapPreprocessor",
+            "Metric3D-DepthMapPreprocessor",
+            "Metric3D-NormalMapPreprocessor",
+            "Metric_DepthAnythingV2Preprocessor",
+            "MiDaS-DepthMapPreprocessor",
+            "MiDaS-NormalMapPreprocessor",
+            "OneFormer-ADE20K-SemSegPreprocessor",
+            "OneFormer-COCO-SemSegPreprocessor",
+            "OpenposePreprocessor",
+            "PiDiNetPreprocessor",
+            "PixelPerfectResolution",
+            "RenderAnimalKps",
+            "RenderPeopleKps",
+            "SAMPreprocessor",
+            "SavePoseKpsAsJsonFile",
+            "ScribblePreprocessor",
+            "Scribble_PiDiNet_Preprocessor",
+            "Scribble_XDoG_Preprocessor",
+            "SemSegPreprocessor",
+            "ShufflePreprocessor",
+            "TEEDPreprocessor",
+            "TTPlanet_TileGF_Preprocessor",
+            "TTPlanet_TileSimple_Preprocessor",
+            "TilePreprocessor",
+            "UniFormer-SemSegPreprocessor",
+            "Unimatch_OptFlowPreprocessor",
+            "UpperBodyTrackingFromPoseKps",
+            "Zoe-DepthMapPreprocessor",
+            "Zoe_DepthAnythingPreprocessor"
+        ],
+        {
+            "author": "tstandley",
+            "preemptions": [
+                "AIO_Preprocessor",
+                "AnimalPosePreprocessor",
+                "AnimeFace_SemSegPreprocessor",
+                "AnimeLineArtPreprocessor",
+                "BAE-NormalMapPreprocessor",
+                "BinaryPreprocessor",
+                "CannyEdgePreprocessor",
+                "ColorPreprocessor",
+                "DSINE-NormalMapPreprocessor",
+                "DWPreprocessor",
+                "DensePosePreprocessor",
+                "DepthAnythingPreprocessor",
+                "DiffusionEdge_Preprocessor",
+                "FacialPartColoringFromPoseKps",
+                "FakeScribblePreprocessor",
+                "HEDPreprocessor",
+                "HintImageEnchance",
+                "ImageGenResolutionFromImage",
+                "ImageGenResolutionFromLatent",
+                "ImageIntensityDetector",
+                "ImageLuminanceDetector",
+                "InpaintPreprocessor",
+                "LeReS-DepthMapPreprocessor",
+                "LineArtPreprocessor",
+                "LineartStandardPreprocessor",
+                "M-LSDPreprocessor",
+                "Manga2Anime_LineArt_Preprocessor",
+                "MaskOptFlow",
+                "MediaPipe-FaceMeshPreprocessor",
+                "MeshGraphormer-DepthMapPreprocessor",
+                "MiDaS-DepthMapPreprocessor",
+                "MiDaS-NormalMapPreprocessor",
+                "OneFormer-ADE20K-SemSegPreprocessor",
+                "OneFormer-COCO-SemSegPreprocessor",
+                "OpenposePreprocessor",
+                "PiDiNetPreprocessor",
+                "PixelPerfectResolution",
+                "SAMPreprocessor",
+                "SavePoseKpsAsJsonFile",
+                "ScribblePreprocessor",
+                "Scribble_XDoG_Preprocessor",
+                "SemSegPreprocessor",
+                "ShufflePreprocessor",
+                "TEEDPreprocessor",
+                "TilePreprocessor",
+                "UniFormer-SemSegPreprocessor",
+                "Unimatch_OptFlowPreprocessor",
+                "Zoe-DepthMapPreprocessor",
+                "Zoe_DepthAnythingPreprocessor"
+            ],
+            "title_aux": "ComfyUI's ControlNet Auxiliary Preprocessors"
+        }
+    ],
+    "https://github.com/Fantaxico/ComfyUI-GCP-Storage": [
+        [
+            "GCPStorageNode"
+        ],
+        {
+            "title_aux": "ComfyUI-GCP-Storage"
+        }
+    ],
+    "https://github.com/Feidorian/feidorian-ComfyNodes": [
+        [],
+        {
+            "nodename_pattern": "^Feidorian_",
+            "title_aux": "feidorian-ComfyNodes"
+        }
+    ],
+    "https://github.com/Fictiverse/ComfyUI_Fictiverse": [
+        [
+            "Add Noise to Image with Mask",
+            "Color correction",
+            "Displace Image with Depth",
+            "Displace Images with Mask",
+            "Zoom Image with Depth"
+        ],
+        {
+            "title_aux": "ComfyUI Fictiverse Nodes"
+        }
+    ],
+    "https://github.com/Fihade/IC-Light-ComfyUI-Node": [
+        [
+            "LoadICLightUnetDiffusers",
+            "diffusers_model_loader",
+            "iclight_diffusers_sampler"
+        ],
+        {
+            "title_aux": "IC-Light-ComfyUI-Node"
+        }
+    ],
+    "https://github.com/FizzleDorf/ComfyUI-AIT": [
+        [
+            "AIT_Unet_Loader",
+            "AIT_VAE_Encode_Loader"
+        ],
+        {
+            "title_aux": "ComfyUI-AIT"
+        }
+    ],
+    "https://github.com/FizzleDorf/ComfyUI_FizzNodes": [
+        [
+            "AbsCosWave",
+            "AbsSinWave",
+            "BatchGLIGENSchedule",
+            "BatchPromptSchedule",
+            "BatchPromptScheduleEncodeSDXL",
+            "BatchPromptScheduleLatentInput",
+            "BatchPromptScheduleNodeFlowEnd",
+            "BatchPromptScheduleSDXLLatentInput",
+            "BatchStringSchedule",
+            "BatchValueSchedule",
+            "BatchValueScheduleLatentInput",
+            "CalculateFrameOffset",
+            "ConcatStringSingle",
+            "CosWave",
+            "FizzFrame",
+            "FizzFrameConcatenate",
+            "ImagesFromBatchSchedule",
+            "Init FizzFrame",
+            "InvCosWave",
+            "InvSinWave",
+            "Lerp",
+            "PromptSchedule",
+            "PromptScheduleEncodeSDXL",
+            "PromptScheduleNodeFlow",
+            "PromptScheduleNodeFlowEnd",
+            "SawtoothWave",
+            "SinWave",
+            "SquareWave",
+            "StringConcatenate",
+            "StringSchedule",
+            "TriangleWave",
+            "ValueSchedule",
+            "convertKeyframeKeysToBatchKeys"
+        ],
+        {
+            "title_aux": "FizzNodes"
+        }
+    ],
+    "https://github.com/FlyingFireCo/tiled_ksampler": [
+        [
+            "Asymmetric Tiled KSampler",
+            "Circular VAEDecode",
+            "Tiled KSampler"
+        ],
+        {
+            "title_aux": "tiled_ksampler"
+        }
+    ],
+    "https://github.com/ForeignGods/ComfyUI-Mana-Nodes": [
+        [
+            "Canvas Properties",
+            "Combine Video",
+            "Font Properties",
+            "Generate Audio",
+            "Preset Color Animations",
+            "Save/Preview Text",
+            "Scheduled Values",
+            "Speech Recognition",
+            "Split Video",
+            "Text to Image Generator"
+        ],
+        {
+            "title_aux": "ComfyUI-Mana-Nodes"
+        }
+    ],
+    "https://github.com/Franck-Demongin/NX_HuggingFace_Flux": [
+        [
+            "HFFlux"
+        ],
+        {
+            "title_aux": "NX_HuggingFace_Flux"
+        }
+    ],
+    "https://github.com/Franck-Demongin/NX_PromptStyler": [
+        [
+            "NX_PromptStyler"
+        ],
+        {
+            "title_aux": "NX_PromptStyler"
+        }
+    ],
+    "https://github.com/Franck-Demongin/NX_Translator": [
+        [
+            "Nx_Translator"
+        ],
+        {
+            "title_aux": "NX_Translator"
+        }
+    ],
+    "https://github.com/FuouM/ComfyUI-EbSynth": [
+        [
+            "ES_Guides7",
+            "ES_Translate",
+            "ES_VideoTransfer",
+            "ES_VideoTransferExtra"
+        ],
+        {
+            "author": "Fuou Marinas",
+            "description": "Run EbSynth in ComfyUI.",
+            "nickname": "EbSynth",
+            "title": "ComfyUI-EbSynth",
+            "title_aux": "ComfyUI-EbSynth"
+        }
+    ],
+    "https://github.com/FuouM/ComfyUI-FirstOrderMM": [
+        [
+            "Articulate_Runner",
+            "FOMM_Partswap",
+            "FOMM_Runner",
+            "FOMM_Seg10Chooser",
+            "FOMM_Seg15Chooser",
+            "FOMM_Seg5Chooser",
+            "FSRT_Runner",
+            "MRFA_Runner",
+            "Spline_Runner"
+        ],
+        {
+            "author": "Fuou Marinas",
+            "description": "ComfyUI-native nodes to run First Order Motion Model for Image Animation and its non-diffusion-based successors.",
+            "nickname": "FOMM",
+            "title": "ComfyUI-FirstOrderMM",
+            "title_aux": "ComfyUI-FirstOrderMM"
+        }
+    ],
+    "https://github.com/FuouM/ComfyUI-StyleTransferPlus": [
+        [
+            "AESFA",
+            "AesFAStyleBlend",
+            "AesPA",
+            "CAST",
+            "CoralColorTransfer",
+            "EFDM",
+            "MicroAST",
+            "NeuralNeighbor",
+            "TSSAT",
+            "UniST",
+            "UniST_Video"
+        ],
+        {
+            "author": "ZJU",
+            "description": "A collection of style transfer nodes.",
+            "nickname": "StyleTransferPlus",
+            "title": "ComfyUI-StyleTransferPlus",
+            "title_aux": "ComfyUI-StyleTransferPlus"
+        }
+    ],
+    "https://github.com/FuouM/FM_nodes": [
+        [
+            "CoLIE_LowLight_Enhance",
+            "ConvIR_DeHaze",
+            "ConvIR_DeRain",
+            "ConvIR_DeSnow",
+            "ConvIR_DefocusDeblur",
+            "ConvIR_MotionDeBlur",
+            "ProPIH_Harmonizer",
+            "RealViFormerSR",
+            "StabStitch",
+            "StabStitch_Crop_Resize",
+            "StabStitch_Stabilize",
+            "WFEN"
+        ],
+        {
+            "author": "Fuou Marinas",
+            "description": "A collection of nodes.",
+            "nickname": "FM_nodes",
+            "title": "FM Nodes",
+            "title_aux": "FM_nodes"
+        }
+    ],
+    "https://github.com/Fuwuffyi/ComfyUI-VisualArea-Nodes": [
+        [
+            "VisualAreaPrompt"
+        ],
+        {
+            "author": "Fuwuffy",
+            "description": "Nodes used for more comfortable area prompting design.",
+            "nickname": "AreaPrompts",
+            "title": "Area Prompts",
+            "title_aux": "ComfyUI Visual Area Nodes"
+        }
+    ],
+    "https://github.com/G-370/ComfyUI-SD3-Powerlab": [
+        [
+            "G370SD3PowerLab_AttentionToImage",
+            "G370SD3PowerLab_ImageIntoAttention",
+            "G370SD3PowerLab_ImageIntoLayer",
+            "G370SD3PowerLab_LayerToImage",
+            "G370SD3PowerLab_RenderAttention"
+        ],
+        {
+            "title_aux": "ComfyUI-SD3-Powerlab"
+        }
+    ],
+    "https://github.com/GMapeSplat/ComfyUI_ezXY": [
+        [
+            "ConcatenateString",
+            "ItemFromDropdown",
+            "IterationDriver",
+            "JoinImages",
+            "LineToConsole",
+            "NumberFromList",
+            "NumbersToList",
+            "PlotImages",
+            "StringFromList",
+            "StringToLabel",
+            "StringsToList",
+            "ezMath",
+            "ezXY_AssemblePlot",
+            "ezXY_Driver"
+        ],
+        {
+            "title_aux": "ezXY scripts and nodes"
+        }
+    ],
+    "https://github.com/GTSuya-Studio/ComfyUI-Gtsuya-Nodes": [
+        [
+            "Danbooru (ID)",
+            "Danbooru (Random)",
+            "Random File From Path",
+            "Replace Strings",
+            "Simple Wildcards",
+            "Simple Wildcards (Dir.)",
+            "Wildcards Nodes"
+        ],
+        {
+            "title_aux": "ComfyUI-GTSuya-Nodes"
+        }
+    ],
+    "https://github.com/GavChap/ComfyUI-SD3LatentSelectRes": [
+        [
+            "SD3LatentSelectRes"
+        ],
+        {
+            "title_aux": "ComfyUI-SD3LatentSelectRes"
+        }
+    ],
+    "https://github.com/GeekyGhost/ComfyUI-GeekyRemB": [
+        [
+            "GeekyRemB"
+        ],
+        {
+            "title_aux": "ComfyUI-GeekyRemB"
+        }
+    ],
+    "https://github.com/GentlemanHu/ComfyUI-SunoAI": [
+        [
+            "GentlemanHu_SunoAI",
+            "GentlemanHu_SunoAI_NotSafe"
+        ],
+        {
+            "title_aux": "ComfyUI Suno API"
+        }
+    ],
+    "https://github.com/Goktug/comfyui-saveimage-plus": [
+        [
+            "SaveImagePlus"
+        ],
+        {
+            "title_aux": "Save Image Plus for ComfyUI"
+        }
+    ],
+    "https://github.com/Gourieff/comfyui-reactor-node": [
+        [
+            "ImageRGBA2RGB",
+            "ReActorBuildFaceModel",
+            "ReActorFaceBoost",
+            "ReActorFaceSwap",
+            "ReActorFaceSwapOpt",
+            "ReActorImageDublicator",
+            "ReActorLoadFaceModel",
+            "ReActorMakeFaceModelBatch",
+            "ReActorMaskHelper",
+            "ReActorOptions",
+            "ReActorRestoreFace",
+            "ReActorSaveFaceModel"
+        ],
+        {
+            "title_aux": "ReActor Node for ComfyUI"
+        }
+    ],
+    "https://github.com/GraftingRayman/ComfyUI_GraftingRayman": [
+        [
+            "GR Background Remover REMBG",
+            "GR Checkered Board",
+            "GR Counter",
+            "GR Flip Tile Random Inverted",
+            "GR Flip Tile Random Red Ring",
+            "GR Image Details Displayer",
+            "GR Image Details Saver",
+            "GR Image Paste",
+            "GR Image Paste With Mask",
+            "GR Image Resize",
+            "GR Image Resize Methods",
+            "GR Image Size",
+            "GR Image/Depth Mask",
+            "GR Mask Create",
+            "GR Mask Create Random",
+            "GR Mask Create Random Multi",
+            "GR Mask Resize",
+            "GR Multi Mask Create",
+            "GR Onomatopoeia",
+            "GR Prompt HUB",
+            "GR Prompt Selector",
+            "GR Prompt Selector Multi",
+            "GR Scroller",
+            "GR Stack Image",
+            "GR Text Overlay",
+            "GR Tile and Border Image",
+            "GR Tile and Border Image Random Flip"
+        ],
+        {
+            "title_aux": "GraftingRayman"
+        }
+    ],
+    "https://github.com/GreenLandisaLie/AuraSR-ComfyUI": [
+        [
+            "AuraSR.AuraSRUpscaler"
+        ],
+        {
+            "title_aux": "AuraSR-ComfyUI"
+        }
+    ],
+    "https://github.com/GrenKain/PixelArt-Processing-Nodes-for-ComfyUI": [
+        [
+            "PixelArtDownscaleNode",
+            "PixelArtNode"
+        ],
+        {
+            "title_aux": "PixelArt Processing Nodes"
+        }
+    ],
+    "https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio": [
+        [
+            "StableCascadeLatentRatio"
+        ],
+        {
+            "title_aux": "ComfyUI_StableCascadeLatentRatio"
+        }
+    ],
+    "https://github.com/HAL41/ComfyUI-aichemy-nodes": [
+        [
+            "aichemyYOLOv8Segmentation"
+        ],
+        {
+            "title_aux": "ComfyUI aichemy nodes"
+        }
+    ],
+    "https://github.com/HECer/ComfyUI-FilePathCreator": [
+        [
+            "FilePathCreator"
+        ],
+        {
+            "title_aux": "ComfyUI-FilePathCreator"
+        }
+    ],
+    "https://github.com/Hangover3832/ComfyUI-Hangover-Moondream": [
+        [
+            "Moondream Interrogator"
+        ],
+        {
+            "author": "AlexL",
+            "description": "An implementation of the moondream visual LLM",
+            "nickname": "Hangover-Moondream",
+            "title": "ComfyUI-Hangover-Moondream",
+            "title_aux": "ComfyUI-Hangover-Moondream"
+        }
+    ],
+    "https://github.com/Hangover3832/ComfyUI-Hangover-Nodes": [
+        [
+            "Image Scale Bounding Box",
+            "MS kosmos-2 Interrogator",
+            "Make Inpaint Model",
+            "Save Image w/o Metadata"
+        ],
+        {
+            "author": "AlexL",
+            "description": "Display, save or not save image, with or without extra metadata.",
+            "nickname": "Hangover-Save_Image_Extra_Metadata",
+            "title": "ComfyUI-Hangover-Save_Image",
+            "title_aux": "ComfyUI-Hangover-Nodes"
+        }
+    ],
+    "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything": [
+        [
+            "Recognize Anything Model (RAM)"
+        ],
+        {
+            "author": "AlexL",
+            "description": "An implementation of the Recognize Anything Model (RAM++) for ComfyUI. The counterpart of Segment Anything Model (SAM).",
+            "nickname": "Hangover-Recognize_Anything",
+            "title": "ComfyUI-Hangover-Recognize_Anything",
+            "title_aux": "Recognize Anything Model (RAM) for ComfyUI"
+        }
+    ],
+    "https://github.com/Haoming02/comfyui-diffusion-cg": [
+        [
+            "Normalization",
+            "Recenter",
+            "Recenter XL"
+        ],
+        {
+            "title_aux": "Diffusion CG"
+        }
+    ],
+    "https://github.com/Haoming02/comfyui-floodgate": [
+        [
+            "FloodGate"
+        ],
+        {
+            "title_aux": "Floodgate"
+        }
+    ],
+    "https://github.com/Haoming02/comfyui-resharpen": [
+        [
+            "Resharpen"
+        ],
+        {
+            "title_aux": "ComfyUI ReSharpen"
+        }
+    ],
+    "https://github.com/HaydenReeve/ComfyUI-Better-Strings": [
+        [
+            "BetterString"
+        ],
+        {
+            "title_aux": "ComfyUI Better Strings"
+        }
+    ],
+    "https://github.com/HeadshotPro/ComfyUI-HeadshotPro": [
+        [
+            "[HSP] Download Dreambooth Checkpoint",
+            "[HSP] Download Flux Lora",
+            "[HSP] Get Random Value From List",
+            "[HSP] Load Canny Pose Face",
+            "[HSP] Transparent to White Background"
+        ],
+        {
+            "title_aux": "ComfyUI-HeadshotPro"
+        }
+    ],
+    "https://github.com/HebelHuber/comfyui-enhanced-save-node": [
+        [
+            "EnhancedSaveNode"
+        ],
+        {
+            "title_aux": "comfyui-enhanced-save-node"
+        }
+    ],
+    "https://github.com/Hellrunner2k/ComfyUI-HellrunnersMagicalNodes": [
+        [
+            "AdjustMojo",
+            "LoadMaskMap",
+            "MagicalSaveNode",
+            "MojoLoader",
+            "MojoMaker",
+            "SaveMojo",
+            "ThermalLatenator"
+        ],
+        {
+            "title_aux": "Hellrunner's Magical Nodes"
+        }
+    ],
+    "https://github.com/HentaiGirlfriendDotCom/comfyui-highlight-connections": [
+        [
+            "HighlightConnections"
+        ],
+        {
+            "title_aux": "comfyui-highlight-connections"
+        }
+    ],
+    "https://github.com/Hiero207/ComfyUI-Hiero-Nodes": [
+        [
+            "Load Prompt Travel file",
+            "Post to Discord w/ Webhook",
+            "Save Prompt Travel file"
+        ],
+        {
+            "author": "Hiero",
+            "description": "Just some nodes that I wanted/needed, so I made them.",
+            "nickname": "HNodes",
+            "title": "Hiero-Nodes",
+            "title_aux": "Hiero-Nodes"
+        }
+    ],
+    "https://github.com/IDGallagher/ComfyUI-IG-Nodes": [
+        [
+            "IG Analyze SSIM",
+            "IG Cross Fade Images",
+            "IG Explorer",
+            "IG Float",
+            "IG Float List",
+            "IG Folder",
+            "IG Int",
+            "IG Interpolate",
+            "IG Load Image",
+            "IG Load Images",
+            "IG MotionPredictor",
+            "IG Multiply",
+            "IG Path Join",
+            "IG String",
+            "IG String List",
+            "IG ZFill"
+        ],
+        {
+            "author": "IDGallagher",
+            "description": "Custom nodes to aid in the exploration of Latent Space",
+            "nickname": "IG Interpolation Nodes",
+            "title": "IG Interpolation Nodes",
+            "title_aux": "IG Interpolation Nodes"
+        }
+    ],
+    "https://github.com/ITurchenko/ComfyUI-SizeFromArray": [
+        [
+            "SizeFromArray"
+        ],
+        {
+            "title_aux": "ComfyUI-SizeFromArray"
+        }
+    ],
+    "https://github.com/ImmortalPie/ComfyUI-PonySwitch/raw/main/PonySwitch.py": [
+        [
+            "PonySwitch"
+        ],
+        {
+            "title_aux": "PonySwitch Node"
+        }
+    ],
+    "https://github.com/Intersection98/ComfyUI_MX_post_processing-nodes": [
+        [
+            "MX_AlphaBlend",
+            "MX_Blend",
+            "MX_Blur",
+            "MX_Canny",
+            "MX_ChromaticAberration",
+            "MX_ColorCorrect",
+            "MX_ColorMatch",
+            "MX_ColorTint",
+            "MX_Glow",
+            "MX_HSVThresholdMask",
+            "MX_KuwaharaBlur(Cartoon)",
+            "MX_LUT",
+            "MX_LensBokeh",
+            "MX_LensOpticAxis",
+            "MX_LensZoomBurst",
+            "MX_Mosaic",
+            "MX_Noise",
+            "MX_Posterize",
+            "MX_SineWave",
+            "MX_Solarize",
+            "MX_Vignette"
+        ],
+        {
+            "title_aux": "ComfyUI-MX-post-processing-nodes"
+        }
+    ],
+    "https://github.com/Inzaniak/comfyui-ranbooru": [
+        [
+            "LockSeed",
+            "PromptBackground",
+            "PromptLimit",
+            "PromptMix",
+            "PromptRandomWeight",
+            "PromptRemove",
+            "Ranbooru",
+            "RanbooruURL",
+            "RandomPicturePath",
+            "TimestampFileName"
+        ],
+        {
+            "title_aux": "Ranbooru for ComfyUI"
+        }
+    ],
+    "https://github.com/IsItDanOrAi/ComfyUI-Stereopsis": [
+        [
+            "Dan_FrameDelay",
+            "Dan_Stereopsis"
+        ],
+        {
+            "title_aux": "ComfyUI-Stereopsis"
+        }
+    ],
+    "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants": [
+        [
+            "LineArt_Assistant",
+            "LineArt_Assistant_2",
+            "Sketch_Assistant",
+            "Sketch_Assistant_grayScale"
+        ],
+        {
+            "title_aux": "ComfyUI-Img2DrawingAssistants"
+        }
+    ],
+    "https://github.com/Isi-dev/ComfyUI-UniAnimate-W": [
+        [
+            "Gen_align_pose",
+            "ReposeImage",
+            "UniAnimateImage",
+            "UniAnimateImageLong"
+        ],
+        {
+            "title_aux": "UniAnimate Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4": [
+        [
+            "DisplayText",
+            "LoadVideo",
+            "MiniCPM_VQA",
+            "MiniCPM_VQA_Polished",
+            "MultipleImagesInput",
+            "PreviewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI_MiniCPM-V-2_6-int4"
+        }
+    ],
+    "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-Audio-7B-Instruct-Int4": [
+        [
+            "AudioLoader",
+            "AudioPreviewer",
+            "Qwen2_AQA"
+        ],
+        {
+            "title_aux": "ComfyUI_Qwen2-Audio-7B-Instruct-Int4"
+        }
+    ],
+    "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct": [
+        [
+            "ImageLoader",
+            "MultiplePathsInput",
+            "Qwen2_VQA"
+        ],
+        {
+            "title_aux": "ComfyUI_Qwen2-VL-Instruct"
+        }
+    ],
+    "https://github.com/JPS-GER/ComfyUI_JPS-Nodes": [
+        [
+            "CLIPTextEncode SDXL Plus (JPS)",
+            "Conditioning Switch (JPS)",
+            "ControlNet Switch (JPS)",
+            "Crop Image Pipe (JPS)",
+            "Crop Image Settings (JPS)",
+            "Crop Image Square (JPS)",
+            "Crop Image TargetSize (JPS)",
+            "CtrlNet CannyEdge Pipe (JPS)",
+            "CtrlNet CannyEdge Settings (JPS)",
+            "CtrlNet MiDaS Pipe (JPS)",
+            "CtrlNet MiDaS Settings (JPS)",
+            "CtrlNet OpenPose Pipe (JPS)",
+            "CtrlNet OpenPose Settings (JPS)",
+            "CtrlNet ZoeDepth Pipe (JPS)",
+            "CtrlNet ZoeDepth Settings (JPS)",
+            "Disable Enable Switch (JPS)",
+            "Enable Disable Switch (JPS)",
+            "Generation TXT IMG Settings (JPS)",
+            "Get Date Time String (JPS)",
+            "Get Image Size (JPS)",
+            "IP Adapter Settings (JPS)",
+            "IP Adapter Settings Pipe (JPS)",
+            "IP Adapter Tiled Settings (JPS)",
+            "IP Adapter Tiled Settings Pipe (JPS)",
+            "IPA Switch (JPS)",
+            "Image Prepare Pipe (JPS)",
+            "Image Prepare Settings (JPS)",
+            "Image Switch (JPS)",
+            "ImageToImage Pipe (JPS)",
+            "ImageToImage Settings (JPS)",
+            "Images Masks MultiPipe (JPS)",
+            "InstantID Mask Prepare Pipe (JPS)",
+            "InstantID Mask Prepare Settings (JPS)",
+            "InstantID Pipe (JPS)",
+            "InstantID Pose Prepare Pipe (JPS)",
+            "InstantID Pose Prepare Settings (JPS)",
+            "InstantID Settings (JPS)",
+            "InstantID Source Prepare Pipe (JPS)",
+            "InstantID Source Prepare Settings (JPS)",
+            "Integer Switch (JPS)",
+            "Largest Int (JPS)",
+            "Latent Switch (JPS)",
+            "Lora Loader (JPS)",
+            "Mask Switch (JPS)",
+            "Model Switch (JPS)",
+            "Multiply Float Float (JPS)",
+            "Multiply Int Float (JPS)",
+            "Multiply Int Int (JPS)",
+            "Prepare Image (JPS)",
+            "Prepare Image Plus (JPS)",
+            "Prepare Image Tiled IPA (JPS)",
+            "Resolution Multiply (JPS)",
+            "Revision Settings (JPS)",
+            "Revision Settings Pipe (JPS)",
+            "SDXL Basic Settings (JPS)",
+            "SDXL Basic Settings Pipe (JPS)",
+            "SDXL Fundamentals MultiPipe (JPS)",
+            "SDXL Prompt Handling (JPS)",
+            "SDXL Prompt Handling Plus (JPS)",
+            "SDXL Prompt Styler (JPS)",
+            "SDXL Recommended Resolution Calc (JPS)",
+            "SDXL Resolutions (JPS)",
+            "SDXL Settings (JPS)",
+            "SDXL Settings Pipe (JPS)",
+            "Sampler Scheduler Settings (JPS)",
+            "Save Images Plus (JPS)",
+            "Substract Int Int (JPS)",
+            "Text Concatenate (JPS)",
+            "Text Prompt (JPS)",
+            "Text Prompt Combo (JPS)",
+            "Time Seed (JPS)",
+            "VAE Switch (JPS)"
+        ],
+        {
+            "author": "JPS",
+            "description": "Various nodes to handle SDXL Resolutions, SDXL Basic Settings, IP Adapter Settings, Revision Settings, SDXL Prompt Styler, Crop Image to Square, Crop Image to Target Size, Get Date-Time String, Resolution Multiply, Largest Integer, 5-to-1 Switches for Integer, Images, Latents, Conditioning, Model, VAE, ControlNet",
+            "nickname": "JPS Custom Nodes",
+            "title": "JPS Custom Nodes for ComfyUI",
+            "title_aux": "JPS Custom Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/JPrevots/ComfyUI-PhyCV": [
+        [
+            "PAGE",
+            "PST",
+            "VEVID"
+        ],
+        {
+            "title_aux": "ComfyUI-PhyCV"
+        }
+    ],
+    "https://github.com/JackEllie/ComfyUI_AI_Assistant": [
+        [
+            "apply_lighting_effects",
+            "clean_prompt_tags",
+            "noline_process",
+            "prompt_blacklist",
+            "prompt_sorting",
+            "resize_image_sdxl_ratio"
+        ],
+        {
+            "title_aux": "ComfyUI-AI-Assistant"
+        }
+    ],
+    "https://github.com/Jannchie/ComfyUI-J": [
+        [
+            "DiffusersCompelPromptEmbedding",
+            "DiffusersControlnetLoader",
+            "DiffusersControlnetUnit",
+            "DiffusersControlnetUnitStack",
+            "DiffusersDecoder",
+            "DiffusersGenerator",
+            "DiffusersPipeline",
+            "DiffusersPrepareLatents",
+            "DiffusersTextureInversionLoader",
+            "DiffusersXLPipeline",
+            "GetAverageColorFromImage",
+            "GetFilledColorImage"
+        ],
+        {
+            "title_aux": "ComfyUI-J"
+        }
+    ],
+    "https://github.com/JaredTherriault/ComfyUI-JNodes": [
+        [
+            "JNodes_AddOrSetMetaDataKey",
+            "JNodes_AnyToString",
+            "JNodes_AppendReversedFrames",
+            "JNodes_BooleanSelectorWithString",
+            "JNodes_BreakMediaInfo",
+            "JNodes_CheckpointSelectorWithString",
+            "JNodes_ConditioningInOut",
+            "JNodes_CreateStereoscopicImageFromDepth",
+            "JNodes_FloatLiteral",
+            "JNodes_GetCleanFilename",
+            "JNodes_GetComfyDirectory",
+            "JNodes_GetLeafDirectory",
+            "JNodes_GetOutputDirectory",
+            "JNodes_GetParameterFromList",
+            "JNodes_GetParameterGlobal",
+            "JNodes_GetTempDirectory",
+            "JNodes_ImageFormatSelector",
+            "JNodes_ImageSizeSelector",
+            "JNodes_IntLiteral",
+            "JNodes_LoadVideo",
+            "JNodes_LoadVisualMediaFromPath",
+            "JNodes_LoadVisualMediaFromPath_Batch",
+            "JNodes_LoraExtractor",
+            "JNodes_MediaInfoToString",
+            "JNodes_ModelInOut",
+            "JNodes_OutVideoInfo",
+            "JNodes_ParseDynamicPrompts",
+            "JNodes_ParseParametersToGlobalList",
+            "JNodes_ParseWildcards",
+            "JNodes_PromptBuilderSingleSubject",
+            "JNodes_RemoveCommentedText",
+            "JNodes_RemoveMetaDataKey",
+            "JNodes_RemoveParseableDataForInference",
+            "JNodes_SamplerSelectorWithString",
+            "JNodes_SaveImageWithOutput",
+            "JNodes_SaveVideo",
+            "JNodes_SchedulerSelectorWithString",
+            "JNodes_SearchAndReplace",
+            "JNodes_SearchAndReplaceFromFile",
+            "JNodes_SearchAndReplaceFromList",
+            "JNodes_SelectRandomFileFromDirectory",
+            "JNodes_SetNegativePromptInMetaData",
+            "JNodes_SetPositivePromptInMetaData",
+            "JNodes_SplitAndJoin",
+            "JNodes_StringLiteral",
+            "JNodes_SubdirectorySelector",
+            "JNodes_SyncedStringLiteral",
+            "JNodes_TokenCounter",
+            "JNodes_TrimAndStrip",
+            "JNodes_UploadVideo",
+            "JNodes_UploadVisualMedia",
+            "JNodes_VaeSelectorWithString"
+        ],
+        {
+            "title_aux": "ComfyUI-JNodes"
+        }
+    ],
+    "https://github.com/JayLyu/ComfyUI_BaiKong_Node": [
+        [
+            "BK_ColorContrast",
+            "BK_ColorLimit",
+            "BK_ColorLuminance",
+            "BK_ColorSelector",
+            "BK_GradientImage",
+            "BK_ImageFilterByAspectRatio",
+            "BK_Img2Color"
+        ],
+        {
+            "title_aux": "ComfyUI_BaiKong_Node"
+        }
+    ],
+    "https://github.com/JcandZero/ComfyUI_GLM4Node": [
+        [
+            "GLM3_turbo_CHAT",
+            "GLM4_CHAT",
+            "GLM4_Vsion_IMGURL"
+        ],
+        {
+            "title_aux": "ComfyUI_GLM4Node"
+        }
+    ],
+    "https://github.com/Jcd1230/rembg-comfyui-node": [
+        [
+            "Image Remove Background (rembg)"
+        ],
+        {
+            "title_aux": "Rembg Background Removal Node for ComfyUI"
+        }
+    ],
+    "https://github.com/JerryOrbachJr/ComfyUI-RandomSize": [
+        [
+            "JOJR_RandomSize"
+        ],
+        {
+            "author": "JerryOrbachJr",
+            "description": "A ComfyUI custom node that randomly selects a height and width pair from a list in a config file",
+            "nickname": "Random Size",
+            "title": "Random Size",
+            "title_aux": "Random Size"
+        }
+    ],
+    "https://github.com/JettHu/ComfyUI-TCD": [
+        [
+            "TCDModelSamplingDiscrete"
+        ],
+        {
+            "title_aux": "ComfyUI-TCD"
+        }
+    ],
+    "https://github.com/JettHu/ComfyUI_TGate": [
+        [
+            "TGateApply",
+            "TGateApplyAdvanced",
+            "TGateApplySimple"
+        ],
+        {
+            "title_aux": "ComfyUI_TGate"
+        }
+    ],
+    "https://github.com/Jordach/comfy-plasma": [
+        [
+            "JDC_AutoContrast",
+            "JDC_BlendImages",
+            "JDC_BrownNoise",
+            "JDC_Contrast",
+            "JDC_EqualizeGrey",
+            "JDC_GaussianBlur",
+            "JDC_GreyNoise",
+            "JDC_Greyscale",
+            "JDC_ImageLoader",
+            "JDC_ImageLoaderMeta",
+            "JDC_PinkNoise",
+            "JDC_Plasma",
+            "JDC_PlasmaSampler",
+            "JDC_PowerImage",
+            "JDC_RandNoise",
+            "JDC_ResizeFactor"
+        ],
+        {
+            "title_aux": "comfy-plasma"
+        }
+    ],
+    "https://github.com/JosefKuchar/ComfyUI-AdvancedTiling": [
+        [
+            "AdvancedTiling",
+            "AdvancedTilingSettings",
+            "AdvancedTilingVAEDecode"
+        ],
+        {
+            "title_aux": "ComfyUI-AdvancedTiling"
+        }
+    ],
+    "https://github.com/Julian-adv/WildDivide": [
+        [
+            "Attention couple",
+            "Comfy Divide",
+            "WildcardEncode"
+        ],
+        {
+            "author": "Julian Adventurer.",
+            "description": "This node is used to encode a wildcard string.",
+            "nickname": "WildDivide",
+            "title": "Wild Divide",
+            "title_aux": "Wild Divide"
+        }
+    ],
+    "https://github.com/Kangkang625/ComfyUI-paint-by-example": [
+        [
+            "PaintbyExamplePipeLoader",
+            "PaintbyExampleSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-Paint-by-Example"
+        }
+    ],
+    "https://github.com/KewkLW/ComfyUI-kewky_tools": [
+        [
+            "CLIPInterrogator",
+            "FormattedPromptNode",
+            "ImageBatcher",
+            "LoadImagePlus",
+            "LoadVideoPlus",
+            "TensorDebugPlus",
+            "TextAppendNode",
+            "TextSearchNode",
+            "VRAM_Debug_Plus"
+        ],
+        {
+            "title_aux": "ComfyUI-kewky_tools"
+        }
+    ],
+    "https://github.com/KoreTeknology/ComfyUI-Universal-Styler": [
+        [
+            "Load Nai Styles Complex CSV",
+            "ShowText|pysssss",
+            "Universal_Styler_Node",
+            "concat"
+        ],
+        {
+            "title_aux": "ComfyUI Universal Styler"
+        }
+    ],
+    "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet": [
+        [
+            "ACN_AdvancedControlNetApply",
+            "ACN_AdvancedControlNetApplySingle",
+            "ACN_ControlNet++InputNode",
+            "ACN_ControlNet++LoaderAdvanced",
+            "ACN_ControlNet++LoaderSingle",
+            "ACN_ControlNetLoaderWithLoraAdvanced",
+            "ACN_CustomControlNetWeightsFlux",
+            "ACN_CustomControlNetWeightsSD15",
+            "ACN_CustomT2IAdapterWeights",
+            "ACN_DefaultUniversalWeights",
+            "ACN_ReferenceControlNet",
+            "ACN_ReferenceControlNetFinetune",
+            "ACN_ReferencePreprocessor",
+            "ACN_ScaledSoftControlNetWeights",
+            "ACN_SoftControlNetWeightsSD15",
+            "ACN_SoftT2IAdapterWeights",
+            "ACN_SparseCtrlIndexMethodNode",
+            "ACN_SparseCtrlLoaderAdvanced",
+            "ACN_SparseCtrlMergedLoaderAdvanced",
+            "ACN_SparseCtrlRGBPreprocessor",
+            "ACN_SparseCtrlSpreadMethodNode",
+            "ACN_SparseCtrlWeightExtras",
+            "ACN_TimestepKeyframeFromStrengthList",
+            "ACN_TimestepKeyframeInterpolation",
+            "ControlNetLoaderAdvanced",
+            "CustomControlNetWeights",
+            "CustomT2IAdapterWeights",
+            "DiffControlNetLoaderAdvanced",
+            "LatentKeyframe",
+            "LatentKeyframeBatchedGroup",
+            "LatentKeyframeGroup",
+            "LatentKeyframeTiming",
+            "LoadImagesFromDirectory",
+            "ScaledSoftControlNetWeights",
+            "ScaledSoftMaskedUniversalWeights",
+            "SoftControlNetWeights",
+            "SoftT2IAdapterWeights",
+            "TimestepKeyframe"
+        ],
+        {
+            "title_aux": "ComfyUI-Advanced-ControlNet"
+        }
+    ],
+    "https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved": [
+        [
+            "ADE_AdjustPEFullStretch",
+            "ADE_AdjustPEManual",
+            "ADE_AdjustPESweetspotStretch",
+            "ADE_AdjustWeightAllAdd",
+            "ADE_AdjustWeightAllMult",
+            "ADE_AdjustWeightIndivAdd",
+            "ADE_AdjustWeightIndivAttnAdd",
+            "ADE_AdjustWeightIndivAttnMult",
+            "ADE_AdjustWeightIndivMult",
+            "ADE_AnimateDiffCombine",
+            "ADE_AnimateDiffKeyframe",
+            "ADE_AnimateDiffLoRALoader",
+            "ADE_AnimateDiffLoaderGen1",
+            "ADE_AnimateDiffLoaderV1Advanced",
+            "ADE_AnimateDiffLoaderWithContext",
+            "ADE_AnimateDiffModelSettings",
+            "ADE_AnimateDiffModelSettingsAdvancedAttnStrengths",
+            "ADE_AnimateDiffModelSettingsSimple",
+            "ADE_AnimateDiffModelSettings_Release",
+            "ADE_AnimateDiffSamplingSettings",
+            "ADE_AnimateDiffSettings",
+            "ADE_AnimateDiffUniformContextOptions",
+            "ADE_AnimateDiffUnload",
+            "ADE_ApplyAnimateDiffModel",
+            "ADE_ApplyAnimateDiffModelSimple",
+            "ADE_ApplyAnimateDiffModelWithCameraCtrl",
+            "ADE_ApplyAnimateDiffModelWithPIA",
+            "ADE_ApplyAnimateLCMI2VModel",
+            "ADE_AttachLoraHookToCLIP",
+            "ADE_AttachLoraHookToConditioning",
+            "ADE_BatchedContextOptions",
+            "ADE_CFGExtrasPAG",
+            "ADE_CFGExtrasPAGSimple",
+            "ADE_CFGExtrasRescaleCFG",
+            "ADE_CFGExtrasRescaleCFGSimple",
+            "ADE_CameraCtrlAnimateDiffKeyframe",
+            "ADE_CameraManualPoseAppend",
+            "ADE_CameraPoseAdvanced",
+            "ADE_CameraPoseBasic",
+            "ADE_CameraPoseCombo",
+            "ADE_CombineLoraHooks",
+            "ADE_CombineLoraHooksEight",
+            "ADE_CombineLoraHooksFour",
+            "ADE_ConditioningCombine",
+            "ADE_ConditioningSetMask",
+            "ADE_ConditioningSetMaskAndCombine",
+            "ADE_ConditioningSetUnmaskedAndCombine",
+            "ADE_ContextExtras_ContextRef",
+            "ADE_ContextExtras_ContextRef_Keyframe",
+            "ADE_ContextExtras_ContextRef_KeyframeFromList",
+            "ADE_ContextExtras_ContextRef_KeyframeInterpolation",
+            "ADE_ContextExtras_ContextRef_ModeFirst",
+            "ADE_ContextExtras_ContextRef_ModeIndexes",
+            "ADE_ContextExtras_ContextRef_ModeSliding",
+            "ADE_ContextExtras_ContextRef_TuneAttn",
+            "ADE_ContextExtras_ContextRef_TuneAttnAdain",
+            "ADE_ContextExtras_NaiveReuse",
+            "ADE_ContextExtras_NaiveReuse_Keyframe",
+            "ADE_ContextExtras_NaiveReuse_KeyframeFromList",
+            "ADE_ContextExtras_NaiveReuse_KeyframeInterpolation",
+            "ADE_ContextExtras_Set",
+            "ADE_CustomCFG",
+            "ADE_CustomCFGKeyframe",
+            "ADE_CustomCFGKeyframeFromList",
+            "ADE_CustomCFGKeyframeInterpolation",
+            "ADE_CustomCFGKeyframeSimple",
+            "ADE_CustomCFGSimple",
+            "ADE_EmptyLatentImageLarge",
+            "ADE_InjectI2VIntoAnimateDiffModel",
+            "ADE_InjectPIAIntoAnimateDiffModel",
+            "ADE_InputPIA_Multival",
+            "ADE_InputPIA_PaperPresets",
+            "ADE_IterationOptsDefault",
+            "ADE_IterationOptsFreeInit",
+            "ADE_LoadAnimateDiffModel",
+            "ADE_LoadAnimateDiffModelWithCameraCtrl",
+            "ADE_LoadAnimateLCMI2VModel",
+            "ADE_LoadCameraPoses",
+            "ADE_LoadCameraPosesFromPath",
+            "ADE_LoopedUniformContextOptions",
+            "ADE_LoopedUniformViewOptions",
+            "ADE_LoraHookKeyframe",
+            "ADE_LoraHookKeyframeFromStrengthList",
+            "ADE_LoraHookKeyframeInterpolation",
+            "ADE_MultivalConvertToMask",
+            "ADE_MultivalDynamic",
+            "ADE_MultivalDynamicFloatInput",
+            "ADE_MultivalDynamicFloats",
+            "ADE_MultivalScaledMask",
+            "ADE_NoiseLayerAdd",
+            "ADE_NoiseLayerAddWeighted",
+            "ADE_NoiseLayerReplace",
+            "ADE_NoisedImageInjectOptions",
+            "ADE_NoisedImageInjection",
+            "ADE_PIA_AnimateDiffKeyframe",
+            "ADE_PairedConditioningCombine",
+            "ADE_PairedConditioningSetMask",
+            "ADE_PairedConditioningSetMaskAndCombine",
+            "ADE_PairedConditioningSetUnmaskedAndCombine",
+            "ADE_PerturbedAttentionGuidanceMultival",
+            "ADE_RawSigmaSchedule",
+            "ADE_RegisterLoraHook",
+            "ADE_RegisterLoraHookModelOnly",
+            "ADE_RegisterModelAsLoraHook",
+            "ADE_RegisterModelAsLoraHookModelOnly",
+            "ADE_ReplaceCameraParameters",
+            "ADE_ReplaceOriginalPoseAspectRatio",
+            "ADE_RescaleCFGMultival",
+            "ADE_SetLoraHookKeyframe",
+            "ADE_SigmaSchedule",
+            "ADE_SigmaScheduleSplitAndCombine",
+            "ADE_SigmaScheduleToSigmas",
+            "ADE_SigmaScheduleWeightedAverage",
+            "ADE_SigmaScheduleWeightedAverageInterp",
+            "ADE_StandardStaticContextOptions",
+            "ADE_StandardStaticViewOptions",
+            "ADE_StandardUniformContextOptions",
+            "ADE_StandardUniformViewOptions",
+            "ADE_TimestepsConditioning",
+            "ADE_UpscaleAndVAEEncode",
+            "ADE_UseEvolvedSampling",
+            "ADE_ViewsOnlyContextOptions",
+            "ADE_VisualizeContextOptionsK",
+            "ADE_VisualizeContextOptionsKAdv",
+            "ADE_VisualizeContextOptionsSCustom",
+            "AnimateDiffLoaderV1",
+            "CheckpointLoaderSimpleWithNoiseSelect"
+        ],
+        {
+            "title_aux": "AnimateDiff Evolved"
+        }
+    ],
+    "https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite": [
+        [
+            "VHS_AudioToVHSAudio",
+            "VHS_BatchManager",
+            "VHS_DuplicateImages",
+            "VHS_DuplicateLatents",
+            "VHS_DuplicateMasks",
+            "VHS_GetImageCount",
+            "VHS_GetLatentCount",
+            "VHS_GetMaskCount",
+            "VHS_LoadAudio",
+            "VHS_LoadAudioUpload",
+            "VHS_LoadImages",
+            "VHS_LoadImagesPath",
+            "VHS_LoadVideo",
+            "VHS_LoadVideoPath",
+            "VHS_MergeImages",
+            "VHS_MergeLatents",
+            "VHS_MergeMasks",
+            "VHS_PruneOutputs",
+            "VHS_SelectEveryNthImage",
+            "VHS_SelectEveryNthLatent",
+            "VHS_SelectEveryNthMask",
+            "VHS_SelectFilename",
+            "VHS_SelectImages",
+            "VHS_SelectLatents",
+            "VHS_SelectMasks",
+            "VHS_SplitImages",
+            "VHS_SplitLatents",
+            "VHS_SplitMasks",
+            "VHS_Unbatch",
+            "VHS_VAEDecodeBatched",
+            "VHS_VAEEncodeBatched",
+            "VHS_VHSAudioToAudio",
+            "VHS_VideoCombine",
+            "VHS_VideoInfo",
+            "VHS_VideoInfoLoaded",
+            "VHS_VideoInfoSource"
+        ],
+        {
+            "title_aux": "ComfyUI-VideoHelperSuite"
+        }
+    ],
+    "https://github.com/Koushakur/ComfyUI-DenoiseChooser": [
+        [
+            "DenoiseChooser|Koushakur"
+        ],
+        {
+            "title_aux": "ComfyUI-DenoiseChooser"
+        }
+    ],
+    "https://github.com/KytraScript/ComfyUI_KytraWebhookHTTP": [
+        [
+            "SendToDiscordWebhook"
+        ],
+        {
+            "title_aux": "ComfyUI_KytraWebhookHTTP"
+        }
+    ],
+    "https://github.com/LEv145/images-grid-comfy-plugin": [
+        [
+            "GridAnnotation",
+            "ImageCombine",
+            "ImagesGridByColumns",
+            "ImagesGridByRows",
+            "LatentCombine"
+        ],
+        {
+            "title_aux": "ImagesGrid"
+        }
+    ],
+    "https://github.com/LarryJane491/Image-Captioning-in-ComfyUI": [
+        [
+            "LoRA Caption Load",
+            "LoRA Caption Save"
+        ],
+        {
+            "title_aux": "Image-Captioning-in-ComfyUI"
+        }
+    ],
+    "https://github.com/LarryJane491/Lora-Training-in-Comfy": [
+        [
+            "Lora Training in Comfy (Advanced)",
+            "Lora Training in ComfyUI",
+            "Tensorboard Access"
+        ],
+        {
+            "title_aux": "Lora-Training-in-Comfy"
+        }
+    ],
+    "https://github.com/Layer-norm/comfyui-lama-remover": [
+        [
+            "LamaRemover",
+            "LamaRemoverIMG"
+        ],
+        {
+            "title_aux": "Comfyui lama remover"
+        }
+    ],
+    "https://github.com/Lerc/canvas_tab": [
+        [
+            "Canvas_Tab",
+            "Send_To_Editor"
+        ],
+        {
+            "author": "Lerc",
+            "description": "This extension provides a full page image editor with mask support. There are two nodes, one to receive images from the editor and one to send images to the editor.",
+            "nickname": "Canvas Tab",
+            "title": "Canvas Tab",
+            "title_aux": "Canvas Tab"
+        }
+    ],
+    "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting": [
+        [
+            "FillImageForOutpainting"
+        ],
+        {
+            "title_aux": "ComfyUI-Fill-Image-for-Outpainting"
+        }
+    ],
+    "https://github.com/LightSketch-ai/ComfyUI-LivePortraitNode": [
+        [
+            "LightSketch Live Portrait",
+            "Preview Video"
+        ],
+        {
+            "title_aux": "ComfyUI-LivePortraitNode (Replicate API)"
+        }
+    ],
+    "https://github.com/Limitex/ComfyUI-Calculation": [
+        [
+            "CenterCalculation",
+            "CreateQRCode"
+        ],
+        {
+            "title_aux": "ComfyUI-Calculation"
+        }
+    ],
+    "https://github.com/Limitex/ComfyUI-Diffusers": [
+        [
+            "CreateIntListNode",
+            "DiffusersClipTextEncode",
+            "DiffusersModelMakeup",
+            "DiffusersPipelineLoader",
+            "DiffusersSampler",
+            "DiffusersSchedulerLoader",
+            "DiffusersVaeLoader",
+            "LcmLoraLoader",
+            "StreamDiffusionCreateStream",
+            "StreamDiffusionFastSampler",
+            "StreamDiffusionSampler",
+            "StreamDiffusionWarmup"
+        ],
+        {
+            "title_aux": "ComfyUI-Diffusers"
+        }
+    ],
+    "https://github.com/Ling-APE/ComfyUI-PixelResolutionCalculator": [
+        [
+            "LatentSizeToPixelSize",
+            "PixelResolutionCalculator"
+        ],
+        {
+            "title_aux": "ComfyUI-PixelResolutionCalculator"
+        }
+    ],
+    "https://github.com/Loewen-Hob/rembg-comfyui-node-better": [
+        [
+            "Image Remove Background (rembg)"
+        ],
+        {
+            "title_aux": "Rembg Background Removal Node for ComfyUI (Better)"
+        }
+    ],
+    "https://github.com/LonicaMewinsky/ComfyUI-MakeFrame": [
+        [
+            "BreakFrames",
+            "BreakGrid",
+            "GetKeyFrames",
+            "MakeGrid",
+            "RandomImageFromDir"
+        ],
+        {
+            "title_aux": "ComfyBreakAnim"
+        }
+    ],
+    "https://github.com/LonicaMewinsky/ComfyUI-RawSaver": [
+        [
+            "SaveTifImage"
+        ],
+        {
+            "title_aux": "ComfyUI-RawSaver"
+        }
+    ],
+    "https://github.com/Ludobico/ComfyUI-ScenarioPrompt": [
+        [
+            "ScenarioPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-ScenarioPrompt"
+        }
+    ],
+    "https://github.com/LyazS/comfyui-anime-seg": [
+        [
+            "Anime Character Seg"
+        ],
+        {
+            "title_aux": "Anime Character Segmentation node for comfyui"
+        }
+    ],
+    "https://github.com/LyazS/comfyui-nettools": [
+        [
+            "NTL_LoadImagesBase64",
+            "NTL_SendImagesWebSocket"
+        ],
+        {
+            "title_aux": "net tool node for comfyui"
+        }
+    ],
+    "https://github.com/M1kep/ComfyLiterals": [
+        [
+            "Checkpoint",
+            "Float",
+            "Int",
+            "KepStringLiteral",
+            "Lora",
+            "Operation",
+            "String"
+        ],
+        {
+            "title_aux": "ComfyLiterals"
+        }
+    ],
+    "https://github.com/M1kep/ComfyUI-KepOpenAI": [
+        [
+            "KepOpenAI_ImageWithPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-KepOpenAI"
+        }
+    ],
+    "https://github.com/M1kep/ComfyUI-OtherVAEs": [
+        [
+            "OtherVAE_Taesd"
+        ],
+        {
+            "title_aux": "ComfyUI-OtherVAEs"
+        }
+    ],
+    "https://github.com/M1kep/Comfy_KepKitchenSink": [
+        [
+            "KepRotateImage"
+        ],
+        {
+            "title_aux": "Comfy_KepKitchenSink"
+        }
+    ],
+    "https://github.com/M1kep/Comfy_KepListStuff": [
+        [
+            "Empty Images",
+            "Image Overlay",
+            "ImageListLoader",
+            "Join Float Lists",
+            "Join Image Lists",
+            "KepStringList",
+            "KepStringListFromNewline",
+            "Kep_JoinListAny",
+            "Kep_RepeatList",
+            "Kep_ReverseList",
+            "Kep_VariableImageBuilder",
+            "List Length",
+            "Range(Num Steps) - Float",
+            "Range(Num Steps) - Int",
+            "Range(Step) - Float",
+            "Range(Step) - Int",
+            "Stack Images",
+            "XYAny",
+            "XYImage"
+        ],
+        {
+            "title_aux": "Comfy_KepListStuff"
+        }
+    ],
+    "https://github.com/M1kep/Comfy_KepMatteAnything": [
+        [
+            "MatteAnything_DinoBoxes",
+            "MatteAnything_GenerateVITMatte",
+            "MatteAnything_InitSamPredictor",
+            "MatteAnything_LoadDINO",
+            "MatteAnything_LoadVITMatteModel",
+            "MatteAnything_SAMLoader",
+            "MatteAnything_SAMMaskFromBoxes",
+            "MatteAnything_ToTrimap"
+        ],
+        {
+            "title_aux": "Comfy_KepMatteAnything"
+        }
+    ],
+    "https://github.com/M1kep/KepPromptLang": [
+        [
+            "Build Gif",
+            "Special CLIP Loader"
+        ],
+        {
+            "title_aux": "KepPromptLang"
+        }
+    ],
+    "https://github.com/MNeMoNiCuZ/ComfyUI-mnemic-nodes": [
+        [
+            "\u26d4 Generate Negative Prompt",
+            "\u2728 Groq LLM API",
+            "\ud83d\udcbe Save Text File With Path",
+            "\ud83d\uddbc\ufe0f Download Image from URL"
+        ],
+        {
+            "title_aux": "ComfyUI-mnemic-nodes"
+        }
+    ],
+    "https://github.com/Makeezi/ComfyUI-promptLAB": [
+        [
+            "PromptLAB"
+        ],
+        {
+            "title_aux": "ComfyUI-promptLAB"
+        }
+    ],
+    "https://github.com/MakkiShizu/comfyui_reimgsize": [
+        [
+            "Cropimg",
+            "Reimgsize"
+        ],
+        {
+            "title_aux": "comfyui_reimgsize"
+        }
+    ],
+    "https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes": [
+        [
+            "Image Remove Background (rembg)"
+        ],
+        {
+            "title_aux": "Batch Rembg for ComfyUI"
+        }
+    ],
+    "https://github.com/ManglerFTW/ComfyI2I": [
+        [
+            "Color Transfer",
+            "Combine and Paste",
+            "Inpaint Segments",
+            "Mask Ops"
+        ],
+        {
+            "author": "ManglerFTW",
+            "title": "ComfyI2I",
+            "title_aux": "ComfyI2I"
+        }
+    ],
+    "https://github.com/MaraScott/ComfyUI_MaraScott_Nodes": [
+        [
+            "MaraScottAnyBusNode",
+            "MaraScottAnyBus_v2",
+            "MaraScottDisplayInfoNode",
+            "MaraScottDisplayInfo_v1",
+            "MaraScottMcBoatyRefiner_v4",
+            "MaraScottMcBoatyRefiner_v5",
+            "MaraScottMcBoatyTilePrompter_v4",
+            "MaraScottMcBoatyTilePrompter_v5",
+            "MaraScottMcBoatyUpscalerRefiner_v5",
+            "MaraScottMcBoatyUpscaler_v4",
+            "MaraScottMcBoatyUpscaler_v5",
+            "MaraScottPasteInpaintingByMask_v1",
+            "MaraScottPromptFromImage_v1",
+            "MaraScottSetInpaintingByMask_v1",
+            "MaraScottUpscalerRefinerNode_v2",
+            "MaraScottUpscalerRefinerNode_v3",
+            "MaraScott_Kijai_TokenCounter_v1"
+        ],
+        {
+            "title_aux": "\ud83d\udc30 MaraScott Nodes"
+        }
+    ],
+    "https://github.com/MarcusNyne/m9-prompts-comfyui": [
+        [
+            "ScramblePrompts_m9",
+            "TweakWeights_m9"
+        ],
+        {
+            "title_aux": "m9-prompts-comfyui"
+        }
+    ],
+    "https://github.com/MariusKM/ComfyUI-BadmanNodes": [
+        [
+            "BadmanCLIPTextEncodeSDXLRegion",
+            "BadmanIO",
+            "BadmanIntUtil",
+            "BadmanStringSelect",
+            "Badman_Blend",
+            "Badman_Concat_String",
+            "Badman_HexGenerator",
+            "Badman_Print",
+            "Badman_String"
+        ],
+        {
+            "title_aux": "ComfyUI-BadmanNodes"
+        }
+    ],
+    "https://github.com/MarkoCa1/ComfyUI-Text": [
+        [
+            "CombinationText",
+            "PlaceholderText",
+            "ReplaceText",
+            "ShowText"
+        ],
+        {
+            "title_aux": "ComfyUI-Text"
+        }
+    ],
+    "https://github.com/MarkoCa1/ComfyUI_Segment_Mask": [
+        [
+            "AutomaticMask(segment anything)"
+        ],
+        {
+            "title_aux": "ComfyUI_Segment_Mask"
+        }
+    ],
+    "https://github.com/Marksusu/ComfyUI_MTCLIPEncode": [
+        [
+            "MTCLIPEncode"
+        ],
+        {
+            "title_aux": "ComfyUI_MTCLIPEncode"
+        }
+    ],
+    "https://github.com/Mason-McGough/ComfyUI-Mosaica": [
+        [
+            "ApplyLUTToLabelImage",
+            "KMeans",
+            "LoadLUTFromMatplotlib",
+            "MeanShift",
+            "RandomLUT",
+            "Watershed"
+        ],
+        {
+            "title_aux": "Mosaica"
+        }
+    ],
+    "https://github.com/MetaGLM/ComfyUI-ZhipuAI-Platform": [
+        [
+            "VideoReportData",
+            "VideoReportGenerate",
+            "VideoReportPull"
+        ],
+        {
+            "title_aux": "ComfyUI ZhipuAI Platform"
+        }
+    ],
+    "https://github.com/MiddleKD/ComfyUI-mem-safe-wrapper": [
+        [
+            "MakeModelMemorySafe-safewrapper",
+            "ResetModelPatcher-safewrapper",
+            "SimpleDummyModel-safewrapper",
+            "SimpleDummyRun-safewrapper"
+        ],
+        {
+            "title_aux": "ComfyUI-mem-safe-wrapper"
+        }
+    ],
+    "https://github.com/MiddleKD/ComfyUI-productfix": [
+        [
+            "ApplyLatentInjection",
+            "DetailTransferAdd",
+            "DetailTransferLatentAdd",
+            "DynamicImageResize",
+            "GetTextMask",
+            "ResetModelPatcherCalculateWeight",
+            "VQDecoder",
+            "VQEncoder",
+            "VQLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-productfix"
+        }
+    ],
+    "https://github.com/MilitantHitchhiker/MilitantHitchhiker-SwitchbladePack": [
+        [
+            "FluxModelSave_v2",
+            "IntegratedRandomPromptGenerator",
+            "MilitantMergeNodev2",
+            "ModelAnalyserNode",
+            "TextAppender_v2"
+        ],
+        {
+            "author": "Militant Hitchhiker",
+            "description": "Militant Hitchhiker's multi-function nodes.",
+            "nickname": "Switchblade",
+            "title": "Switchblade Pack",
+            "title_aux": "MilitantHitchhiker-SwitchbladePack"
+        }
+    ],
+    "https://github.com/Mintbeer96/ComfyUI-KerasOCR": [
+        [
+            "KerasOCR"
+        ],
+        {
+            "title_aux": "ComfyUI-KerasOCR"
+        }
+    ],
+    "https://github.com/Miosp/ComfyUI-FBCNN": [
+        [
+            "JPEG artifacts removal FBCNN"
+        ],
+        {
+            "title_aux": "ComfyUI-FBCNN"
+        }
+    ],
+    "https://github.com/MitoshiroPJ/comfyui_slothful_attention": [
+        [
+            "NearSightedAttention",
+            "NearSightedAttentionSimple",
+            "NearSightedTile",
+            "SlothfulAttention"
+        ],
+        {
+            "title_aux": "ComfyUI Slothful Attention"
+        }
+    ],
+    "https://github.com/MohammadAboulEla/ComfyUI-iTools": [
+        [
+            "iToolsAddOverlay",
+            "iToolsLoadImagePlus",
+            "iToolsLoadImages",
+            "iToolsPromptLoader",
+            "iToolsPromptSaver"
+        ],
+        {
+            "title_aux": "ComfyUI-iTools"
+        }
+    ],
+    "https://github.com/MokkaBoss1/ComfyUI_Mokkaboss1": [
+        [
+            "AnimeCosplayDir",
+            "AspectRatioCondition",
+            "ChooseImage",
+            "Colors",
+            "CombinedCrop",
+            "ConnectFloat",
+            "ConnectImage",
+            "ConnectInteger",
+            "ConnectLatent",
+            "ConnectString",
+            "DirSelector",
+            "DoubleClipTextEncode",
+            "EmbeddingLoader",
+            "FilmCharDir",
+            "FuseImages",
+            "FuseImages2",
+            "HashText",
+            "HueSatLum",
+            "HueShift",
+            "ImageDimensions",
+            "ImageDimensionsBatch",
+            "ImageOverlayResized",
+            "ImageResizeLong",
+            "ImageZigzag",
+            "IndoorBackgrounds",
+            "IndoorDir",
+            "IntEvaluate",
+            "IntFloatDict",
+            "IntStringDict",
+            "JsonSearch",
+            "KillWorkflow",
+            "LandscapeBackgrounds",
+            "LandscapeDir",
+            "MakeupStylesDir",
+            "Mbsampler",
+            "OptimalCrop",
+            "Overlay",
+            "PhotomontageA",
+            "PhotomontageB",
+            "PhotomontageC",
+            "PostSamplerCrop",
+            "PresetLoad",
+            "PresetRemove",
+            "PresetSave",
+            "PromptSwitcher",
+            "RandomString",
+            "SDXLEmptyLatent",
+            "SavePrompt",
+            "SaveWithMetaData",
+            "SaveWithMetaData2",
+            "SearchReplace",
+            "SimplePrompts",
+            "SpecificStylesDir",
+            "SplitImages",
+            "StringJoin",
+            "TimeStamp",
+            "TintnShift",
+            "TricolorComposition",
+            "WorkflowSettings",
+            "WrapText",
+            "X_In_a_Dress",
+            "X_In_a_Suit",
+            "X_In_a_Suit)",
+            "ZoomCrop",
+            "imageborder"
+        ],
+        {
+            "title_aux": "Node Pack mostly for manipulating strings and integers"
+        }
+    ],
+    "https://github.com/MoonHugo/ComfyUI-BiRefNet-Hugo": [
+        [
+            "BiRefNet_Hugo"
+        ],
+        {
+            "title_aux": "ComfyUI-BiRefNet-Hugo"
+        }
+    ],
+    "https://github.com/MrForExample/ComfyUI-3D-Pack": [
+        [],
+        {
+            "nodename_pattern": "^\\[Comfy3D\\]",
+            "title_aux": "ComfyUI-3D-Pack"
+        }
+    ],
+    "https://github.com/MrForExample/ComfyUI-AnimateAnyone-Evolved": [
+        [],
+        {
+            "nodename_pattern": "^\\[AnimateAnyone\\]",
+            "title_aux": "ComfyUI-AnimateAnyone-Evolved"
+        }
+    ],
+    "https://github.com/MrSamSeen/ComfyUI_SSStereoscope": [
+        [
+            "SBS_by_SamSeen"
+        ],
+        {
+            "title_aux": "ComfyUI_SSStereoscope"
+        }
+    ],
+    "https://github.com/Munkyfoot/ComfyUI-TextOverlay": [
+        [
+            "Text Overlay"
+        ],
+        {
+            "title_aux": "ComfyUI-TextOverlay"
+        }
+    ],
+    "https://github.com/MushroomFleet/DJZ-Nodes": [
+        [
+            "AspectSize",
+            "AspectSizeV2",
+            "ImageSizeAdjuster",
+            "ImageSizeAdjusterV2",
+            "ProjectFilePathNode",
+            "StringWeights",
+            "ZenkaiPrompt",
+            "ZenkaiPromptV2",
+            "ZenkaiWildcard",
+            "ZenkaiWildcardV2"
+        ],
+        {
+            "title_aux": "DJZ-Nodes"
+        }
+    ],
+    "https://github.com/MuziekMagie/ComfyUI-Matchering": [
+        [
+            "Matchering",
+            "MatcheringAdvanced",
+            "MatcheringLimiterConfig"
+        ],
+        {
+            "title_aux": "ComfyUI-Matchering"
+        }
+    ],
+    "https://github.com/N3rd00d/ComfyUI-Paint3D-Nodes": [
+        [
+            "3D_GenerateDepthImage",
+            "3D_GenerateInpaintMask",
+            "3D_GenerateInpaintUVMapMask",
+            "3D_GeneratePreviewVideo",
+            "3D_LoadMeshModel",
+            "3D_Projection",
+            "3D_SaveUVMapImage",
+            "3D_TrainConfig",
+            "3D_TrainConfigPipe"
+        ],
+        {
+            "title_aux": "ComfyUI-Paint3D-Nodes"
+        }
+    ],
+    "https://github.com/NMWave/ComfyUI-Nader-Tagging": [
+        [
+            "Load Text List",
+            "Split Sentences",
+            "Split Tags",
+            "Tag Alternating Combiner",
+            "Tag Duplicate Remover",
+            "Token Counter"
+        ],
+        {
+            "title_aux": "Image Captioning and Tagging Assistor Nodes"
+        }
+    ],
+    "https://github.com/NVIDIAGameWorks/ComfyUI-RTX-Remix": [
+        [
+            "RTXRemixCreateLayer",
+            "RTXRemixDefineLayerId",
+            "RTXRemixDeleteFile",
+            "RTXRemixEndContext",
+            "RTXRemixGetEditTarget",
+            "RTXRemixGetLayers",
+            "RTXRemixGetTextures",
+            "RTXRemixIngestTexture",
+            "RTXRemixInvertBool",
+            "RTXRemixLayerType",
+            "RTXRemixLayerTypes",
+            "RTXRemixMuteLayer",
+            "RTXRemixRemoveLayer",
+            "RTXRemixRestAPIDetails",
+            "RTXRemixSaveLayer",
+            "RTXRemixSetEditTarget",
+            "RTXRemixSetTexture",
+            "RTXRemixStartContext",
+            "RTXRemixStrToList",
+            "RTXRemixStringConcatenate",
+            "RTXRemixStringConstant",
+            "RTXRemixSwitch",
+            "RTXRemixTextureTypeToUSDAttribute",
+            "RTXRemixTexturesType",
+            "RTXRemixTexturesTypes"
+        ],
+        {
+            "title_aux": "ComfyUI-RTX-Remix"
+        }
+    ],
+    "https://github.com/NakamuraShippo/ComfyUI-PromptList": [
+        [
+            "ComfyUI-PromptList"
+        ],
+        {
+            "author": "NakamuraShippo",
+            "description": "Custom node to manage prompts in YAML format.",
+            "title": "ComfyUI-PromptList",
+            "title_aux": "ComfyUI-PromptList"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/ComfyUI-Dimensional-Latent-Perlin": [
+        [
+            "NoisyLatentPerlinD"
+        ],
+        {
+            "title_aux": "Dimensional Latent Perlin for ComfyUI"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/ComfyUI-FluxPseudoNegativePrompt": [
+        [
+            "FluxPseudoNegativeNode"
+        ],
+        {
+            "title_aux": "FluxPseudoNegative"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/ComfyUI-PromptJSON": [
+        [
+            "PromptJSON"
+        ],
+        {
+            "title_aux": "PromptJSON Node for ComfyUI"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/Comfyui-Superprompt-Unofficial": [
+        [
+            "SuperPrompterNode"
+        ],
+        {
+            "title_aux": "SuperPrompter Node for ComfyUI"
+        }
+    ],
+    "https://github.com/NicholasMcCarthy/ComfyUI_TravelSuite": [
+        [
+            "LatentTravel"
+        ],
+        {
+            "title_aux": "ComfyUI_TravelSuite"
+        }
+    ],
+    "https://github.com/NimaNzrii/comfyui-photoshop": [
+        [
+            "\ud83d\udd39 Photoshop RemoteConnection",
+            "\ud83d\udd39ClipPass",
+            "\ud83d\udd39Photoshop ComfyUI Plugin",
+            "\ud83d\udd39SendTo Photoshop Plugin",
+            "\ud83d\udd39modelPass"
+        ],
+        {
+            "title_aux": "comfyui-photoshop"
+        }
+    ],
+    "https://github.com/NimaNzrii/comfyui-popup_preview": [
+        [
+            "PreviewPopup"
+        ],
+        {
+            "title_aux": "comfyui-popup_preview"
+        }
+    ],
+    "https://github.com/Niutonian/ComfyUi-NoodleWebcam": [
+        [
+            "WebcamNode"
+        ],
+        {
+            "title_aux": "ComfyUi-NoodleWebcam"
+        }
+    ],
+    "https://github.com/Nlar/ComfyUI_CartoonSegmentation": [
+        [
+            "AnimeSegmentation",
+            "KenBurnsConfigLoader",
+            "KenBurns_Processor",
+            "LoadImageFilename"
+        ],
+        {
+            "author": "Nels Larsen",
+            "description": "This extension offers a front end to the Cartoon Segmentation Project (https://github.com/CartoonSegmentation/CartoonSegmentation)",
+            "nickname": "CfyCS",
+            "title": "ComfyUI_CartoonSegmentation",
+            "title_aux": "ComfyUI_CartoonSegmentation"
+        }
+    ],
+    "https://github.com/NotHarroweD/Harronode": [
+        [
+            "Harronode"
+        ],
+        {
+            "author": "HarroweD and quadmoon (https://github.com/traugdor)",
+            "description": "This extension to ComfyUI will build a prompt for the Harrlogos LoRA for SDXL.",
+            "nickname": "Harronode",
+            "nodename_pattern": "Harronode",
+            "title": "Harrlogos Prompt Builder Node",
+            "title_aux": "Harrlogos Prompt Builder Node"
+        }
+    ],
+    "https://github.com/Nourepide/ComfyUI-Allor": [
+        [
+            "AlphaChanelAdd",
+            "AlphaChanelAddByMask",
+            "AlphaChanelAsMask",
+            "AlphaChanelRemove",
+            "AlphaChanelRestore",
+            "ClipClamp",
+            "ClipVisionClamp",
+            "ClipVisionOutputClamp",
+            "ConditioningClamp",
+            "ControlNetClamp",
+            "GligenClamp",
+            "ImageBatchCopy",
+            "ImageBatchFork",
+            "ImageBatchGet",
+            "ImageBatchJoin",
+            "ImageBatchPermute",
+            "ImageBatchRemove",
+            "ImageClamp",
+            "ImageCompositeAbsolute",
+            "ImageCompositeAbsoluteByContainer",
+            "ImageCompositeRelative",
+            "ImageCompositeRelativeByContainer",
+            "ImageContainer",
+            "ImageContainerInheritanceAdd",
+            "ImageContainerInheritanceMax",
+            "ImageContainerInheritanceScale",
+            "ImageContainerInheritanceSum",
+            "ImageDrawArc",
+            "ImageDrawArcByContainer",
+            "ImageDrawChord",
+            "ImageDrawChordByContainer",
+            "ImageDrawEllipse",
+            "ImageDrawEllipseByContainer",
+            "ImageDrawLine",
+            "ImageDrawLineByContainer",
+            "ImageDrawPieslice",
+            "ImageDrawPiesliceByContainer",
+            "ImageDrawPolygon",
+            "ImageDrawRectangle",
+            "ImageDrawRectangleByContainer",
+            "ImageDrawRectangleRounded",
+            "ImageDrawRectangleRoundedByContainer",
+            "ImageEffectsAdjustment",
+            "ImageEffectsGrayscale",
+            "ImageEffectsLensBokeh",
+            "ImageEffectsLensChromaticAberration",
+            "ImageEffectsLensOpticAxis",
+            "ImageEffectsLensVignette",
+            "ImageEffectsLensZoomBurst",
+            "ImageEffectsNegative",
+            "ImageEffectsSepia",
+            "ImageFilterBilateralBlur",
+            "ImageFilterBlur",
+            "ImageFilterBoxBlur",
+            "ImageFilterContour",
+            "ImageFilterDetail",
+            "ImageFilterEdgeEnhance",
+            "ImageFilterEdgeEnhanceMore",
+            "ImageFilterEmboss",
+            "ImageFilterFindEdges",
+            "ImageFilterGaussianBlur",
+            "ImageFilterGaussianBlurAdvanced",
+            "ImageFilterMax",
+            "ImageFilterMedianBlur",
+            "ImageFilterMin",
+            "ImageFilterMode",
+            "ImageFilterRank",
+            "ImageFilterSharpen",
+            "ImageFilterSmooth",
+            "ImageFilterSmoothMore",
+            "ImageFilterStackBlur",
+            "ImageNoiseBeta",
+            "ImageNoiseBinomial",
+            "ImageNoiseBytes",
+            "ImageNoiseGaussian",
+            "ImageSegmentation",
+            "ImageSegmentationCustom",
+            "ImageSegmentationCustomAdvanced",
+            "ImageText",
+            "ImageTextMultiline",
+            "ImageTextMultilineOutlined",
+            "ImageTextOutlined",
+            "ImageTransformCropAbsolute",
+            "ImageTransformCropCorners",
+            "ImageTransformCropRelative",
+            "ImageTransformPaddingAbsolute",
+            "ImageTransformPaddingRelative",
+            "ImageTransformResizeAbsolute",
+            "ImageTransformResizeClip",
+            "ImageTransformResizeRelative",
+            "ImageTransformRotate",
+            "ImageTransformTranspose",
+            "LatentClamp",
+            "MaskClamp",
+            "ModelClamp",
+            "StyleModelClamp",
+            "UpscaleModelClamp",
+            "VaeClamp"
+        ],
+        {
+            "title_aux": "Allor Plugin"
+        }
+    ],
+    "https://github.com/Nuked88/ComfyUI-N-Nodes": [
+        [
+            "CLIPTextEncodeAdvancedNSuite [n-suite]",
+            "DynamicPrompt [n-suite]",
+            "Float Variable [n-suite]",
+            "FrameInterpolator [n-suite]",
+            "GPT Loader Simple [n-suite]",
+            "GPT Sampler [n-suite]",
+            "ImagePadForOutpaintAdvanced [n-suite]",
+            "Integer Variable [n-suite]",
+            "Llava Clip Loader [n-suite]",
+            "LoadFramesFromFolder [n-suite]",
+            "LoadImageFromFolder [n-suite]",
+            "LoadVideo [n-suite]",
+            "SaveVideo [n-suite]",
+            "SetMetadataForSaveVideo [n-suite]",
+            "String Variable [n-suite]"
+        ],
+        {
+            "title_aux": "ComfyUI-N-Nodes"
+        }
+    ],
+    "https://github.com/Off-Live/ComfyUI-off-suite": [
+        [
+            "Apply CLAHE",
+            "Cached Image Load From URL",
+            "CalcMaskBound",
+            "Crop Center wigh SEGS",
+            "Crop Center with SEGS",
+            "Dilate Mask for Each Face",
+            "GW Number Formatting",
+            "Grid Image from batch (OFF)",
+            "Image Crop Fit",
+            "Image Resize Fit",
+            "OFF SEGS to Image",
+            "Paste Face Segment to Image",
+            "Query Gender and Age",
+            "RandomSeedfromList",
+            "SEGS to Face Crop Data",
+            "Safe Mask to Image",
+            "VAE Encode For Inpaint V2",
+            "Watermarking"
+        ],
+        {
+            "title_aux": "ComfyUI-off-suite"
+        }
+    ],
+    "https://github.com/Onierous/QRNG_Node_ComfyUI/raw/main/qrng_node.py": [
+        [
+            "QRNG_Node_CSV"
+        ],
+        {
+            "preemptions": [
+                "SAMLoader"
+            ],
+            "title_aux": "QRNG_Node_ComfyUI"
+        }
+    ],
+    "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex": [
+        [
+            "Pipe From Parameters",
+            "Pipe To Parameters",
+            "Prompt Tidy",
+            "Text Switch 2 Way",
+            "Text With Context"
+        ],
+        {
+            "title_aux": "ComfyUI-Simple-Of-Complex"
+        }
+    ],
+    "https://github.com/PCMonsterx/ComfyUI-CSV-Loader": [
+        [
+            "Load Artists CSV",
+            "Load Artmovements CSV",
+            "Load Characters CSV",
+            "Load Colors CSV",
+            "Load Composition CSV",
+            "Load Lighting CSV",
+            "Load Negative CSV",
+            "Load Positive CSV",
+            "Load Settings CSV",
+            "Load Styles CSV"
+        ],
+        {
+            "title_aux": "ComfyUI-CSV-Loader"
+        }
+    ],
+    "https://github.com/Parameshvadivel/ComfyUI-SVGview": [
+        [
+            "SVGPreview"
+        ],
+        {
+            "title_aux": "ComfyUI-SVGview"
+        }
+    ],
+    "https://github.com/ParisNeo/lollms_nodes_suite": [
+        [
+            "Artbot",
+            "Lollms_Text_Gen",
+            "Lollms_Text_Saver",
+            "RandomizeVideo"
+        ],
+        {
+            "title_aux": "lollms_nodes_suite"
+        }
+    ],
+    "https://github.com/ParmanBabra/ComfyUI-Malefish-Custom-Scripts": [
+        [
+            "CSVPromptsLoader",
+            "CombinePrompt",
+            "MultiLoraLoader",
+            "RandomPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-Malefish-Custom-Scripts"
+        }
+    ],
+    "https://github.com/Pfaeff/pfaeff-comfyui": [
+        [
+            "AstropulsePixelDetector",
+            "BackgroundRemover",
+            "ImagePadForBetterOutpaint",
+            "Inpainting",
+            "InpaintingPipelineLoader"
+        ],
+        {
+            "title_aux": "pfaeff-comfyui"
+        }
+    ],
+    "https://github.com/Phando/ComfyUI-PhandoNodes": [
+        [
+            "SearchBySubstring",
+            "TextConcatenateDynamic"
+        ],
+        {
+            "title_aux": "ComfyUI-PhandoNodes"
+        }
+    ],
+    "https://github.com/Pheat-AI/Remade_nodes": [
+        [
+            "Batch Enlarged Overlay",
+            "Batch Image Blend by Mask",
+            "Batch Image Overlay",
+            "CannyImageCropper",
+            "MaskBoundingBox",
+            "Place Canny On Canvas",
+            "Remove Black To Transparent",
+            "Shrink Canny Image"
+        ],
+        {
+            "title_aux": "Remade_nodes"
+        }
+    ],
+    "https://github.com/PnthrLeo/comfyUI-image-search": [
+        [
+            "CloseImagesSearcher"
+        ],
+        {
+            "title_aux": "comfyUI-image-search"
+        }
+    ],
+    "https://github.com/Pos13/comfyui-cyclist": [
+        [
+            "CyclistCompare",
+            "CyclistMathFloat",
+            "CyclistMathInt",
+            "CyclistTimer",
+            "CyclistTimerStop",
+            "CyclistTypeCast",
+            "Interrupt",
+            "LoopManager",
+            "MemorizeConditioning",
+            "MemorizeFloat",
+            "MemorizeInt",
+            "MemorizeString",
+            "OverrideImage",
+            "OverrideLatent",
+            "OverrideModel",
+            "RecallConditioning",
+            "RecallFloat",
+            "RecallInt",
+            "RecallString",
+            "ReloadImage",
+            "ReloadLatent",
+            "ReloadModel"
+        ],
+        {
+            "author": "Pos13",
+            "description": "This extension provides tools to iterate generation results between runs. In general, it's for cycles.",
+            "nickname": "comfyui-cyclist",
+            "title": "Cyclist",
+            "title_aux": "Cyclist"
+        }
+    ],
+    "https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait": [
+        [
+            "AdvancedLivePortrait",
+            "ExpData",
+            "ExpressionEditor",
+            "LoadExpData",
+            "PrintExpData:",
+            "SaveExpData"
+        ],
+        {
+            "title_aux": "ComfyUI-AdvancedLivePortrait"
+        }
+    ],
+    "https://github.com/Pseudotools/Pseudocomfy": [
+        [
+            "Combiner",
+            "LoadJSONAuto",
+            "LoadJSONFromFolder",
+            "MakeMaskBatch",
+            "MixedBuiltinCombinerIPAdaper",
+            "ProcessJSON"
+        ],
+        {
+            "title_aux": "Pseudocomfy"
+        }
+    ],
+    "https://github.com/QaisMalkawi/ComfyUI-QaisHelper": [
+        [
+            "Bool Binary Operation",
+            "Bool Unary Operation",
+            "Item Debugger",
+            "Item Switch",
+            "Nearest SDXL Resolution",
+            "SDXL Resolution",
+            "Size Swapper"
+        ],
+        {
+            "title_aux": "ComfyUI-Qais-Helper"
+        }
+    ],
+    "https://github.com/Raapys/ComfyUI-LatentGC_Aggressive": [
+        [
+            "LatentGC"
+        ],
+        {
+            "title_aux": "LatentGC Aggressive"
+        }
+    ],
+    "https://github.com/RedRayz/ComfyUI-Danbooru-To-WD": [
+        [
+            "DanbooruToWD"
+        ],
+        {
+            "title_aux": "ComfyUI-Danbooru-To-WD"
+        }
+    ],
+    "https://github.com/RenderRift/ComfyUI-RenderRiftNodes": [
+        [
+            "AnalyseMetadata",
+            "DateIntegerNode",
+            "DisplayMetaOptions",
+            "LoadImageWithMeta",
+            "MetadataOverlayNode",
+            "VideoPathMetaExtraction"
+        ],
+        {
+            "title_aux": "ComfyUI-RenderRiftNodes"
+        }
+    ],
+    "https://github.com/RhizoNymph/ComfyUI-Latte": [
+        [
+            "LatteVideoGenerator"
+        ],
+        {
+            "title_aux": "ComfyUI-CLIPSlider"
+        }
+    ],
+    "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher": [
+        [
+            "Image Stitching Node"
+        ],
+        {
+            "title_aux": "Panoramic Image Stitcher"
+        }
+    ],
+    "https://github.com/RomanKuschanow/ComfyUI-Advanced-Latent-Control": [
+        [
+            "LatentAddTransform",
+            "LatentInterpolateTransform",
+            "LatentMirror",
+            "LatentNormalize",
+            "LatentShift",
+            "MirrorTransform",
+            "MultiplyTransform",
+            "OffsetCombine",
+            "OneTimeLatentAddTransform",
+            "OneTimeLatentInterpolateTransform",
+            "OneTimeMirrorTransform",
+            "OneTimeMultiplyTransform",
+            "OneTimeShiftTransform",
+            "ShiftTransform",
+            "TransformHijack",
+            "TransformOffset",
+            "TransformSampler",
+            "TransformSamplerAdvanced",
+            "TransformsCombine"
+        ],
+        {
+            "title_aux": "Advanced Latent Control"
+        }
+    ],
+    "https://github.com/Ron-Digital/ComfyUI-SceneGenerator": [
+        [
+            "Scene Generator"
+        ],
+        {
+            "title_aux": "ComfyUI-SceneGenerator"
+        }
+    ],
+    "https://github.com/Ryuukeisyou/comfyui_face_parsing": [
+        [
+            "BBoxListItemSelect(FaceParsing)",
+            "BBoxResize(FaceParsing)",
+            "ColorAdjust(FaceParsing)",
+            "FaceBBoxDetect(FaceParsing)",
+            "FaceBBoxDetectorLoader(FaceParsing)",
+            "FaceParse(FaceParsing)",
+            "FaceParsingModelLoader(FaceParsing)",
+            "FaceParsingProcessorLoader(FaceParsing)",
+            "FaceParsingResultsParser(FaceParsing)",
+            "GuidedFilter(FaceParsing)",
+            "ImageCropWithBBox(FaceParsing)",
+            "ImageInsertWithBBox(FaceParsing)",
+            "ImageListSelect(FaceParsing)",
+            "ImagePadWithBBox(FaceParsing)",
+            "ImageResizeCalculator(FaceParsing)",
+            "ImageResizeWithBBox(FaceParsing)",
+            "ImageSize(FaceParsing)",
+            "LatentCropWithBBox(FaceParsing)",
+            "LatentInsertWithBBox(FaceParsing)",
+            "LatentSize(FaceParsing)",
+            "MaskComposite(FaceParsing)",
+            "MaskInsertWithBBox(FaceParsing)",
+            "MaskListComposite(FaceParsing)",
+            "MaskListSelect(FaceParsing)",
+            "MaskToBBox(FaceParsing)",
+            "SkinDetectTraditional(FaceParsing)"
+        ],
+        {
+            "title_aux": "comfyui_face_parsing"
+        }
+    ],
+    "https://github.com/Ryuukeisyou/comfyui_io_helpers": [
+        [
+            "ImageLoadAsMaskByPath(IOHelpers)",
+            "ImageLoadByPath(IOHelpers)",
+            "ImageLoadFromBase64(IOHelpers)",
+            "ImageSaveAsBase64(IOHelpers)",
+            "ImageSaveToPath(IOHelpers)",
+            "TypeConversion(IOHelpers)",
+            "VHSFileNamesToStrings(IOHelpers)"
+        ],
+        {
+            "title_aux": "comfyui_io_helpers"
+        }
+    ],
+    "https://github.com/SEkINVR/ComfyUI-SaveAs": [
+        [
+            "ComfyUISaveAs"
+        ],
+        {
+            "title_aux": "ComfyUI SaveAS"
+        }
+    ],
+    "https://github.com/SLAPaper/ComfyUI-Image-Selector": [
+        [
+            "ImageDuplicator",
+            "ImageSelector",
+            "LatentDuplicator",
+            "LatentSelector"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Selector"
+        }
+    ],
+    "https://github.com/SOELexicon/ComfyUI-LexMSDBNodes": [
+        [
+            "MSSqlSelectNode",
+            "MSSqlTableNode"
+        ],
+        {
+            "title_aux": "LexMSDBNodes"
+        }
+    ],
+    "https://github.com/SOELexicon/ComfyUI-LexTools": [
+        [
+            "AesthetlcScoreSorter",
+            "AgeClassifierNode",
+            "ArtOrHumanClassifierNode",
+            "CalculateAestheticScore",
+            "DocumentClassificationNode",
+            "FoodCategoryClassifierNode",
+            "ImageAspectPadNode",
+            "ImageCaptioning",
+            "ImageFilterByFloatScoreNode",
+            "ImageFilterByIntScoreNode",
+            "ImageQualityScoreNode",
+            "ImageRankingNode",
+            "ImageScaleToMin",
+            "LoadAesteticModel",
+            "MD5ImageHashNode",
+            "SamplerPropertiesNode",
+            "ScoreConverterNode",
+            "SeedIncrementerNode",
+            "SegformerNode",
+            "SegformerNodeMasks",
+            "SegformerNodeMergeSegments",
+            "StepCfgIncrementNode"
+        ],
+        {
+            "title_aux": "ComfyUI-LexTools"
+        }
+    ],
+    "https://github.com/SadaleNet/CLIPTextEncodeA1111-ComfyUI/raw/master/custom_nodes/clip_text_encoder_a1111.py": [
+        [
+            "CLIPTextEncodeA1111",
+            "RerouteTextForCLIPTextEncodeA1111"
+        ],
+        {
+            "title_aux": "ComfyUI A1111-like Prompt Custom Node Solution"
+        }
+    ],
+    "https://github.com/SamKhoze/ComfyUI-DeepFuze": [
+        [
+            "DeepFuze Save",
+            "DeepFuzeAdavance",
+            "DeepFuzeFaceSwap",
+            "DeepfuzePreview",
+            "LLM_node",
+            "PlayBackAudio",
+            "TTS_generation"
+        ],
+        {
+            "title_aux": "DeepFuze"
+        }
+    ],
+    "https://github.com/SayanoAI/Comfy-RVC": [
+        [
+            "Any2ListNode",
+            "AudioBatchValueNode",
+            "AudioTranscriptionNode",
+            "BatchedTranscriptionEncoderNode",
+            "DownloadAudio",
+            "ImageRepeatInterleavedNode",
+            "LatentRepeatInterleavedNode",
+            "List2AnyNode",
+            "LoadHubertModel",
+            "LoadPitchExtractionParams",
+            "LoadRVCModelNode",
+            "LoadWhisperModelNode",
+            "MergeAudioNode",
+            "MergeImageBatches",
+            "MergeLatentBatches",
+            "MuseAudioFeatureExtractionNode",
+            "MuseImageFeatureExtractionNode",
+            "MuseTalkNode",
+            "ProcessAudioNode",
+            "RVC-Studio.LoadAudio",
+            "RVC-Studio.PreviewAudio",
+            "RVCNode",
+            "RVCProcessDatasetNode",
+            "RVCTrainModelNode",
+            "RVCTrainParamsNode",
+            "SimpleMathNode",
+            "SliceNode",
+            "SortImagesNode",
+            "UVR5Node",
+            "ZipNode"
+        ],
+        {
+            "title_aux": "Comfy-RVC"
+        }
+    ],
+    "https://github.com/Scholar01/ComfyUI-Keyframe": [
+        [
+            "KeyframeApply",
+            "KeyframeInterpolationPart",
+            "KeyframePart"
+        ],
+        {
+            "title_aux": "SComfyUI-Keyframe"
+        }
+    ],
+    "https://github.com/Scorpinaus/ComfyUI-DiffusersLoader": [
+        [
+            "CombinedDiffusersLoader",
+            "DiffusersClipLoader",
+            "DiffusersUNETLoader",
+            "DiffusersVAELoader"
+        ],
+        {
+            "title_aux": "ComfyUI-DiffusersLoader"
+        }
+    ],
+    "https://github.com/ScreamingHawk/comfyui-ollama-prompt-encode": [
+        [
+            "OllamaCLIPTextEncode",
+            "OllamaPromptGenerator"
+        ],
+        {
+            "author": "Michael Standen",
+            "description": "Use AI to generate prompts and perform CLIP text encoding",
+            "nickname": "Ollama Prompt Encode",
+            "title": "Ollama Prompt Encode",
+            "title_aux": "Ollama Prompt Encode"
+        }
+    ],
+    "https://github.com/SeaArtLab/ComfyUI-Long-CLIP": [
+        [
+            "LongCLIPTextEncodeFlux",
+            "SeaArtLongClip",
+            "SeaArtLongXLClipMerge"
+        ],
+        {
+            "title_aux": "ComfyUI-Long-CLIP"
+        }
+    ],
+    "https://github.com/SeanScripts/ComfyUI-Unload-Model": [
+        [
+            "UnloadAllModels",
+            "UnloadModel"
+        ],
+        {
+            "title_aux": "ComfyUI-Unload-Model"
+        }
+    ],
+    "https://github.com/SeargeDP/ComfyUI_Searge_LLM": [
+        [
+            "Searge_AdvOptionsNode",
+            "Searge_LLM_Node",
+            "Searge_Output_Node"
+        ],
+        {
+            "title_aux": "Searge-LLM for ComfyUI v1.0"
+        }
+    ],
+    "https://github.com/SeargeDP/SeargeSDXL": [
+        [
+            "SeargeAdvancedParameters",
+            "SeargeCheckpointLoader",
+            "SeargeConditionMixing",
+            "SeargeConditioningMuxer2",
+            "SeargeConditioningMuxer5",
+            "SeargeConditioningParameters",
+            "SeargeControlnetAdapterV2",
+            "SeargeControlnetModels",
+            "SeargeCustomAfterUpscaling",
+            "SeargeCustomAfterVaeDecode",
+            "SeargeCustomPromptMode",
+            "SeargeDebugPrinter",
+            "SeargeEnablerInputs",
+            "SeargeFloatConstant",
+            "SeargeFloatMath",
+            "SeargeFloatPair",
+            "SeargeFreeU",
+            "SeargeGenerated1",
+            "SeargeGenerationParameters",
+            "SeargeHighResolution",
+            "SeargeImage2ImageAndInpainting",
+            "SeargeImageAdapterV2",
+            "SeargeImageSave",
+            "SeargeImageSaving",
+            "SeargeInput1",
+            "SeargeInput2",
+            "SeargeInput3",
+            "SeargeInput4",
+            "SeargeInput5",
+            "SeargeInput6",
+            "SeargeInput7",
+            "SeargeIntegerConstant",
+            "SeargeIntegerMath",
+            "SeargeIntegerPair",
+            "SeargeIntegerScaler",
+            "SeargeLatentMuxer3",
+            "SeargeLoraLoader",
+            "SeargeLoras",
+            "SeargeMagicBox",
+            "SeargeModelSelector",
+            "SeargeOperatingMode",
+            "SeargeOutput1",
+            "SeargeOutput2",
+            "SeargeOutput3",
+            "SeargeOutput4",
+            "SeargeOutput5",
+            "SeargeOutput6",
+            "SeargeOutput7",
+            "SeargeParameterProcessor",
+            "SeargePipelineStart",
+            "SeargePipelineTerminator",
+            "SeargePreviewImage",
+            "SeargePromptAdapterV2",
+            "SeargePromptCombiner",
+            "SeargePromptStyles",
+            "SeargePromptText",
+            "SeargeSDXLBasePromptEncoder",
+            "SeargeSDXLImage2ImageSampler",
+            "SeargeSDXLImage2ImageSampler2",
+            "SeargeSDXLPromptEncoder",
+            "SeargeSDXLRefinerPromptEncoder",
+            "SeargeSDXLSampler",
+            "SeargeSDXLSampler2",
+            "SeargeSDXLSamplerV3",
+            "SeargeSamplerAdvanced",
+            "SeargeSamplerInputs",
+            "SeargeSaveFolderInputs",
+            "SeargeSeparator",
+            "SeargeStylePreprocessor",
+            "SeargeTextInputV2",
+            "SeargeUpscaleModelLoader",
+            "SeargeUpscaleModels",
+            "SeargeVAELoader"
+        ],
+        {
+            "title_aux": "SeargeSDXL"
+        }
+    ],
+    "https://github.com/Seedsa/Fooocus_Nodes": [
+        [
+            "BasicScheduler",
+            "CLIPLoader",
+            "CLIPMergeSimple",
+            "CLIPSave",
+            "CLIPSetLastLayer",
+            "CLIPTextEncode",
+            "CLIPTextEncodeSDXL",
+            "CLIPTextEncodeSDXLRefiner",
+            "CLIPVisionEncode",
+            "CLIPVisionLoader",
+            "Canny",
+            "CheckpointLoader",
+            "CheckpointLoaderSimple",
+            "CheckpointSave",
+            "ConditioningAverage",
+            "ConditioningCombine",
+            "ConditioningConcat",
+            "ConditioningSetArea",
+            "ConditioningSetAreaPercentage",
+            "ConditioningSetMask",
+            "ConditioningSetTimestepRange",
+            "ConditioningZeroOut",
+            "ControlNetApply",
+            "ControlNetApplyAdvanced",
+            "ControlNetLoader",
+            "CropMask",
+            "DiffControlNetLoader",
+            "DiffusersLoader",
+            "DualCLIPLoader",
+            "EmptyImage",
+            "EmptyLatentImage",
+            "ExponentialScheduler",
+            "FeatherMask",
+            "FlipSigmas",
+            "Fooocus ApplyImagePrompt",
+            "Fooocus Controlnet",
+            "Fooocus Describe",
+            "Fooocus Expansion",
+            "Fooocus ImagePrompt",
+            "Fooocus Inpaint",
+            "Fooocus KSampler",
+            "Fooocus Loader",
+            "Fooocus LoraStack",
+            "Fooocus PipeOut",
+            "Fooocus PreKSampler",
+            "Fooocus Styles",
+            "Fooocus Upscale",
+            "Fooocus detailerFix",
+            "Fooocus negative",
+            "Fooocus positive",
+            "Fooocus preDetailerFix",
+            "Fooocus samLoaderPipe",
+            "Fooocus ultralyticsDetectorPipe",
+            "FreeU",
+            "FreeU_V2",
+            "GLIGENLoader",
+            "GLIGENTextBoxApply",
+            "GrowMask",
+            "HyperTile",
+            "HypernetworkLoader",
+            "ImageBatch",
+            "ImageBlend",
+            "ImageBlur",
+            "ImageColorToMask",
+            "ImageCompositeMasked",
+            "ImageCrop",
+            "ImageInvert",
+            "ImageOnlyCheckpointLoader",
+            "ImageOnlyCheckpointSave",
+            "ImagePadForOutpaint",
+            "ImageQuantize",
+            "ImageScale",
+            "ImageScaleBy",
+            "ImageScaleToTotalPixels",
+            "ImageSharpen",
+            "ImageToMask",
+            "ImageUpscaleWithModel",
+            "InpaintModelConditioning",
+            "InvertMask",
+            "JoinImageWithAlpha",
+            "KSampler",
+            "KSamplerAdvanced",
+            "KSamplerSelect",
+            "KarrasScheduler",
+            "LatentAdd",
+            "LatentBatch",
+            "LatentBatchSeedBehavior",
+            "LatentBlend",
+            "LatentComposite",
+            "LatentCompositeMasked",
+            "LatentCrop",
+            "LatentFlip",
+            "LatentFromBatch",
+            "LatentInterpolate",
+            "LatentMultiply",
+            "LatentRotate",
+            "LatentSubtract",
+            "LatentUpscale",
+            "LatentUpscaleBy",
+            "LoadImage",
+            "LoadImageMask",
+            "LoadLatent",
+            "LoraLoader",
+            "LoraLoaderModelOnly",
+            "MaskComposite",
+            "MaskToImage",
+            "ModelMergeAdd",
+            "ModelMergeBlocks",
+            "ModelMergeSimple",
+            "ModelMergeSubtract",
+            "ModelSamplingContinuousEDM",
+            "ModelSamplingDiscrete",
+            "PatchModelAddDownscale",
+            "PerpNeg",
+            "PhotoMakerEncode",
+            "PhotoMakerLoader",
+            "PolyexponentialScheduler",
+            "PorterDuffImageComposite",
+            "PreviewImage",
+            "RebatchImages",
+            "RebatchLatents",
+            "RepeatImageBatch",
+            "RepeatLatentBatch",
+            "RescaleCFG",
+            "SDTurboScheduler",
+            "SD_4XUpscale_Conditioning",
+            "SVD_img2vid_Conditioning",
+            "SamplerCustom",
+            "SamplerDPMPP_2M_SDE",
+            "SamplerDPMPP_SDE",
+            "SaveAnimatedPNG",
+            "SaveAnimatedWEBP",
+            "SaveImage",
+            "SaveLatent",
+            "SelfAttentionGuidance",
+            "SetLatentNoiseMask",
+            "SolidMask",
+            "SplitImageWithAlpha",
+            "SplitSigmas",
+            "StableZero123_Conditioning",
+            "StableZero123_Conditioning_Batched",
+            "StyleModelApply",
+            "StyleModelLoader",
+            "TomePatchModel",
+            "UNETLoader",
+            "UpscaleModelLoader",
+            "VAEDecode",
+            "VAEDecodeTiled",
+            "VAEEncode",
+            "VAEEncodeForInpaint",
+            "VAEEncodeTiled",
+            "VAELoader",
+            "VAESave",
+            "VPScheduler",
+            "VideoLinearCFGGuidance",
+            "unCLIPCheckpointLoader",
+            "unCLIPConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI Fooocus Nodes"
+        }
+    ],
+    "https://github.com/Ser-Hilary/SDXL_sizing/raw/main/conditioning_sizing_for_SDXL.py": [
+        [
+            "get_aspect_from_image",
+            "get_aspect_from_ints",
+            "sizing_node",
+            "sizing_node_basic",
+            "sizing_node_unparsed"
+        ],
+        {
+            "title_aux": "SDXL_sizing"
+        }
+    ],
+    "https://github.com/Shadetail/ComfyUI_Eagleshadow": [
+        [
+            "Batch 12 Images",
+            "Detect Transparency",
+            "Fix Checkpoint Name",
+            "ImageLinearGammaCompositeMasked",
+            "KSampler Same Noise",
+            "MaskGlow",
+            "OffsetImage",
+            "Round Float to String",
+            "SaveImageToFolder",
+            "Select ControlNet",
+            "Select Model 20",
+            "Simple Load Image Batch"
+        ],
+        {
+            "title_aux": "Eagleshadow Custom Nodes"
+        }
+    ],
+    "https://github.com/SherryXieYuchen/ComfyUI-Image-Inpainting": [
+        [
+            "CropImageByRect",
+            "INPAINT_ColorCorrection",
+            "INPAINT_CropImage",
+            "INPAINT_InpaintingWithModel",
+            "INPAINT_LoadModel",
+            "INPAINT_PasteBackCropImage",
+            "INPAINT_VAEDecode",
+            "INPAINT_VAEEncode",
+            "ImagePostprocess",
+            "ImagePreprocess"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Inpainting"
+        }
+    ],
+    "https://github.com/Shiba-2-shiba/ComfyUI_DiffusionModel_fp8_converter": [
+        [
+            "ClipFP8ConverterNode",
+            "ModelFP8ConverterNode"
+        ],
+        {
+            "title_aux": "ComfyUI_DiffusionModel_fp8_converter"
+        }
+    ],
+    "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node": [
+        [
+            "ASCIIArtNode",
+            "ASCIIArtNodev2",
+            "ASCIIArtSinglefontNode"
+        ],
+        {
+            "author": "Shiba-2-shiba",
+            "description": "This node generates colorful ASCII art using custom character sets and fonts.",
+            "nickname": "ColorASCII",
+            "title": "Colorful ASCII Art Node",
+            "title_aux": "ComfyUI-color-ascii-art-node"
+        }
+    ],
+    "https://github.com/Shibiko-AI/ShibikoAI-ComfyUI-Tools": [
+        [
+            "Cascade",
+            "Luts",
+            "Waifu2x"
+        ],
+        {
+            "title_aux": "Shibiko AI ComfyUI Tools"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI-AstralAnimator": [
+        [
+            "AstralAnimator"
+        ],
+        {
+            "title_aux": "ComfyUI-AstralAnimator"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI-SVDResizer": [
+        [
+            "SVDRsizer"
+        ],
+        {
+            "title_aux": "ComfyUI-SVDResizer"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI_Gemini_Flash": [
+        [
+            "Gemini_Flash"
+        ],
+        {
+            "title_aux": "ComfyUI_Gemini_Flash"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI_wav2lip": [
+        [
+            "AudioPath",
+            "Wav2Lip"
+        ],
+        {
+            "title_aux": "Wav2Lip Node for ComfyUI"
+        }
+    ],
+    "https://github.com/Shraknard/ComfyUI-Remover": [
+        [
+            "Remover"
+        ],
+        {
+            "title_aux": "ComfyUI-Remover"
+        }
+    ],
+    "https://github.com/Siberpone/lazy-pony-prompter": [
+        [
+            "LPP_Deleter",
+            "LPP_Derpibooru",
+            "LPP_E621",
+            "LPP_Loader_Derpibooru",
+            "LPP_Loader_E621",
+            "LPP_Saver"
+        ],
+        {
+            "title_aux": "Lazy Pony Prompter"
+        }
+    ],
+    "https://github.com/Sieyalixnet/ComfyUI_Textarea_Loaders": [
+        [
+            "CheckPointLoader_Text",
+            "EmptyLatentImage_Text",
+            "LoRALoader_Text",
+            "LoadImage_Text"
+        ],
+        {
+            "title_aux": "ComfyUI_Textarea_Loaders"
+        }
+    ],
+    "https://github.com/Smirnov75/ComfyUI-mxToolkit": [
+        [
+            "mxSeed",
+            "mxSlider",
+            "mxSlider2D",
+            "mxStop"
+        ],
+        {
+            "title_aux": "ComfyUI-mxToolkit"
+        }
+    ],
+    "https://github.com/Smuzzies/comfyui_chatbox_overlay/raw/main/chatbox_overlay.py": [
+        [
+            "Chatbox Overlay"
+        ],
+        {
+            "title_aux": "Chatbox Overlay node for ComfyUI"
+        }
+    ],
+    "https://github.com/Smuzzies/comfyui_meme_maker": [
+        [
+            "MemeMaker"
+        ],
+        {
+            "title_aux": "comfyui_meme_maker"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI-DeepCache-Fix": [
+        [
+            "DeepCache_Fix"
+        ],
+        {
+            "title_aux": "ComfyUI-DeepCache-Fix"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI_ImageToText": [
+        [
+            "ComfyUI_ImageToText"
+        ],
+        {
+            "title_aux": "ComfyUI_ImageToText"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI_Mexx_Poster": [
+        [
+            "ComfyUI_Mexx_Poster"
+        ],
+        {
+            "title_aux": "ComfyUI_Mexx_Poster"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI_Mexx_Styler": [
+        [
+            "MexxSDXLPromptStyler",
+            "MexxSDXLPromptStylerAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI_Mexx_Styler"
+        }
+    ],
+    "https://github.com/Sorcerio/MBM-Music-Visualizer": [
+        [
+            "id",
+            "mbmAudioFeatureCalculator",
+            "mbmAudioLoader",
+            "mbmImageConcat",
+            "mbmPromptSequenceBuilder",
+            "mbmPromptSequenceBuilderAdv",
+            "mbmPromptSequenceInterpolator",
+            "mbmPromptSequenceLoader",
+            "mbmPromptSequenceRenderer"
+        ],
+        {
+            "title_aux": "MBM's Music Visualizer"
+        }
+    ],
+    "https://github.com/SozeInc/ComfyUI-Mobile": [
+        [
+            "Mobile_Settings_Launcher_Data",
+            "Send Notification (Mobile)",
+            "Settings Launcher (Mobile)",
+            "Ultimate Concat (Mobile)"
+        ],
+        {
+            "title_aux": "ComfyUI-Mobile"
+        }
+    ],
+    "https://github.com/SpaceKendo/ComfyUI-svd_txt2vid": [
+        [
+            "SVD_txt2vid_ConditioningwithLatent"
+        ],
+        {
+            "title_aux": "Text to video for Stable Video Diffusion in ComfyUI"
+        }
+    ],
+    "https://github.com/Stability-AI/ComfyUI-SAI_API": [
+        [
+            "Stability Conservative Upscale",
+            "Stability Control Skech",
+            "Stability Control Structure",
+            "Stability Creative Upscale",
+            "Stability Erase",
+            "Stability Image Core",
+            "Stability Image Ultra",
+            "Stability Inpainting",
+            "Stability Outpainting",
+            "Stability Remove Background",
+            "Stability SD3",
+            "Stability Search and Replace"
+        ],
+        {
+            "title_aux": "Stability API nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/Stability-AI/stability-ComfyUI-nodes": [
+        [
+            "ColorBlend",
+            "ControlLoraSave",
+            "GetImageSize"
+        ],
+        {
+            "title_aux": "stability-ComfyUI-nodes"
+        }
+    ],
+    "https://github.com/StarMagicAI/comfyui_tagger": [
+        [
+            "DownloadAndLoadFlorence2Lora_jsonL",
+            "DownloadAndLoadFlorence2Model_jsonL",
+            "Florence2ModelLoader_jsonL",
+            "Florence2Run_jsonL",
+            "batch_text_save_jsonL"
+        ],
+        {
+            "title_aux": "ComfyUI-tagger"
+        }
+    ],
+    "https://github.com/StartHua/ComfyUI_OOTDiffusion_CXH": [
+        [
+            "Ood_CXH"
+        ],
+        {
+            "title_aux": "ComfyUI_OOTDiffusion_CXH"
+        }
+    ],
+    "https://github.com/StartHua/ComfyUI_PCDMs": [
+        [
+            "PCDMS_CXH"
+        ],
+        {
+            "title_aux": "ComfyUI_PCDMs"
+        }
+    ],
+    "https://github.com/StartHua/ComfyUI_Seg_VITON": [
+        [
+            "segformer_agnostic",
+            "segformer_clothes",
+            "segformer_remove_bg",
+            "stabel_vition"
+        ],
+        {
+            "title_aux": "ComfyUI_Seg_VITON"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_CXH_joy_caption": [
+        [
+            "CXH_DownloadAndLoadFlorence2Model",
+            "CXH_Florence2Run",
+            "CXH_HG_Model_Load",
+            "CXH_Min2_6_prompt_Run",
+            "CXH_MinCP3_4B_Chat",
+            "CXH_MinCP3_4B_Load",
+            "Joy_caption",
+            "Joy_caption_load"
+        ],
+        {
+            "title_aux": "Comfyui_CXH_joy_caption"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_joytag": [
+        [
+            "CXH_JoyTag"
+        ],
+        {
+            "title_aux": "Comfyui_joytag"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_segformer_b2_clothes": [
+        [
+            "segformer_b2_clothes",
+            "segformer_b3_fashion"
+        ],
+        {
+            "title_aux": "comfyui_segformer_b2_clothes"
+        }
+    ],
+    "https://github.com/Steudio/ComfyUI_Steudio": [
+        [
+            "Make Size",
+            "Make Size Latent",
+            "Make Tiles",
+            "Make Tiles Math",
+            "Unmake Tiles"
+        ],
+        {
+            "title_aux": "ComfyUI_Steudio"
+        }
+    ],
+    "https://github.com/SuperBeastsAI/ComfyUI-SuperBeasts": [
+        [
+            "Deflicker - Experimental (SuperBeasts.AI)",
+            "HDR Effects (SuperBeasts.AI)",
+            "Image Batch Manager (SuperBeasts.AI)",
+            "Make Resized Mask Batch (SuperBeasts.AI)",
+            "Mask Batch Manager (SuperBeasts.AI)",
+            "Pixel Deflicker - Experimental (SuperBeasts.AI)",
+            "String List Manager (SuperBeasts.AI)"
+        ],
+        {
+            "title_aux": "ComfyUI-SuperBeasts"
+        }
+    ],
+    "https://github.com/SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers": [
+        [
+            "YOLO Classifier Model Loader",
+            "YOLO Classify"
+        ],
+        {
+            "title_aux": "ComfyUI_YOLO_Classifiers"
+        }
+    ],
+    "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes": [
+        [
+            "CR 8 Channel In",
+            "CR 8 Channel Out",
+            "CR Apply ControlNet",
+            "CR Apply LoRA Stack",
+            "CR Apply Model Merge",
+            "CR Apply Multi Upscale",
+            "CR Apply Multi-ControlNet",
+            "CR Arabic Text RTL",
+            "CR Aspect Ratio",
+            "CR Aspect Ratio Banners",
+            "CR Aspect Ratio SDXL",
+            "CR Aspect Ratio Social Media",
+            "CR Batch Images From List",
+            "CR Batch Process Switch",
+            "CR Binary Pattern",
+            "CR Binary To Bit List",
+            "CR Bit Schedule",
+            "CR Central Schedule",
+            "CR Checker Pattern",
+            "CR Clamp Value",
+            "CR Clip Input Switch",
+            "CR Color Bars",
+            "CR Color Gradient",
+            "CR Color Panel",
+            "CR Color Tint",
+            "CR Combine Prompt",
+            "CR Combine Schedules",
+            "CR Comic Panel Templates",
+            "CR Composite Text",
+            "CR Conditioning Input Switch",
+            "CR Conditioning Mixer",
+            "CR ControlNet Input Switch",
+            "CR Current Frame",
+            "CR Cycle Images",
+            "CR Cycle Images Simple",
+            "CR Cycle LoRAs",
+            "CR Cycle Models",
+            "CR Cycle Text",
+            "CR Cycle Text Simple",
+            "CR Data Bus In",
+            "CR Data Bus Out",
+            "CR Debatch Frames",
+            "CR Diamond Panel",
+            "CR Draw Perspective Text",
+            "CR Draw Pie",
+            "CR Draw Shape",
+            "CR Draw Text",
+            "CR Encode Scheduled Prompts",
+            "CR Feathered Border",
+            "CR Float Range List",
+            "CR Float To Integer",
+            "CR Float To String",
+            "CR Font File List",
+            "CR Get Parameter From Prompt",
+            "CR Gradient Float",
+            "CR Gradient Integer",
+            "CR Half Drop Panel",
+            "CR Halftone Filter",
+            "CR Halftone Grid",
+            "CR Hires Fix Process Switch",
+            "CR Image Border",
+            "CR Image Grid Panel",
+            "CR Image Input Switch",
+            "CR Image Input Switch (4 way)",
+            "CR Image List",
+            "CR Image List Simple",
+            "CR Image Output",
+            "CR Image Panel",
+            "CR Image Pipe Edit",
+            "CR Image Pipe In",
+            "CR Image Pipe Out",
+            "CR Image Size",
+            "CR Img2Img Process Switch",
+            "CR Increment Float",
+            "CR Increment Integer",
+            "CR Index",
+            "CR Index Increment",
+            "CR Index Multiply",
+            "CR Index Reset",
+            "CR Input Text List",
+            "CR Integer Multiple",
+            "CR Integer Range List",
+            "CR Integer To String",
+            "CR Interpolate Latents",
+            "CR Intertwine Lists",
+            "CR Keyframe List",
+            "CR Latent Batch Size",
+            "CR Latent Input Switch",
+            "CR LoRA List",
+            "CR LoRA Stack",
+            "CR Load Animation Frames",
+            "CR Load Flow Frames",
+            "CR Load GIF As List",
+            "CR Load Image List",
+            "CR Load Image List Plus",
+            "CR Load LoRA",
+            "CR Load Prompt Style",
+            "CR Load Schedule From File",
+            "CR Load Scheduled ControlNets",
+            "CR Load Scheduled LoRAs",
+            "CR Load Scheduled Models",
+            "CR Load Text List",
+            "CR Mask Text",
+            "CR Math Operation",
+            "CR Model Input Switch",
+            "CR Model List",
+            "CR Model Merge Stack",
+            "CR Module Input",
+            "CR Module Output",
+            "CR Module Pipe Loader",
+            "CR Multi Upscale Stack",
+            "CR Multi-ControlNet Stack",
+            "CR Multiline Text",
+            "CR Output Flow Frames",
+            "CR Output Schedule To File",
+            "CR Overlay Text",
+            "CR Overlay Transparent Image",
+            "CR Page Layout",
+            "CR Pipe Switch",
+            "CR Polygons",
+            "CR Prompt List",
+            "CR Prompt List Keyframes",
+            "CR Prompt Scheduler",
+            "CR Prompt Text",
+            "CR Radial Gradient",
+            "CR Random Hex Color",
+            "CR Random LoRA Stack",
+            "CR Random Multiline Colors",
+            "CR Random Multiline Values",
+            "CR Random Panel Codes",
+            "CR Random RGB",
+            "CR Random RGB Gradient",
+            "CR Random Shape Pattern",
+            "CR Random Weight LoRA",
+            "CR Repeater",
+            "CR SD1.5 Aspect Ratio",
+            "CR SDXL Aspect Ratio",
+            "CR SDXL Base Prompt Encoder",
+            "CR SDXL Prompt Mix Presets",
+            "CR SDXL Prompt Mixer",
+            "CR SDXL Style Text",
+            "CR Save Text To File",
+            "CR Schedule Input Switch",
+            "CR Schedule To ScheduleList",
+            "CR Seamless Checker",
+            "CR Seed",
+            "CR Seed to Int",
+            "CR Select Font",
+            "CR Select ISO Size",
+            "CR Select Model",
+            "CR Select Resize Method",
+            "CR Set Switch From String",
+            "CR Set Value On Binary",
+            "CR Set Value On Boolean",
+            "CR Set Value on String",
+            "CR Simple Banner",
+            "CR Simple Binary Pattern",
+            "CR Simple Binary Pattern Simple",
+            "CR Simple Image Compare",
+            "CR Simple List",
+            "CR Simple Meme Template",
+            "CR Simple Prompt List",
+            "CR Simple Prompt List Keyframes",
+            "CR Simple Prompt Scheduler",
+            "CR Simple Schedule",
+            "CR Simple Text Panel",
+            "CR Simple Text Scheduler",
+            "CR Simple Text Watermark",
+            "CR Simple Titles",
+            "CR Simple Value Scheduler",
+            "CR Split String",
+            "CR Starburst Colors",
+            "CR Starburst Lines",
+            "CR String To Boolean",
+            "CR String To Combo",
+            "CR String To Number",
+            "CR Style Bars",
+            "CR Switch Model and CLIP",
+            "CR Text",
+            "CR Text Blacklist",
+            "CR Text Concatenate",
+            "CR Text Cycler",
+            "CR Text Input Switch",
+            "CR Text Input Switch (4 way)",
+            "CR Text Length",
+            "CR Text List",
+            "CR Text List Simple",
+            "CR Text List To String",
+            "CR Text Operation",
+            "CR Text Replace",
+            "CR Text Scheduler",
+            "CR Thumbnail Preview",
+            "CR Trigger",
+            "CR Upscale Image",
+            "CR VAE Decode",
+            "CR VAE Input Switch",
+            "CR Value",
+            "CR Value Cycler",
+            "CR Value Scheduler",
+            "CR Vignette Filter",
+            "CR XY From Folder",
+            "CR XY Index",
+            "CR XY Interpolate",
+            "CR XY List",
+            "CR XY Product",
+            "CR XY Save Grid Image",
+            "CR XYZ Index",
+            "CR_Aspect Ratio For Print"
+        ],
+        {
+            "author": "Suzie1",
+            "description": "175 custom nodes for artists, designers and animators.",
+            "nickname": "Comfyroll Studio",
+            "title": "Comfyroll Studio",
+            "title_aux": "Comfyroll Studio"
+        }
+    ],
+    "https://github.com/Sxela/ComfyWarp": [
+        [
+            "ExtractOpticalFlow",
+            "LoadFrame",
+            "LoadFrameFromDataset",
+            "LoadFrameFromFolder",
+            "LoadFramePairFromDataset",
+            "LoadFrameSequence",
+            "MakeFrameDataset",
+            "MixConsistencyMaps",
+            "OffsetNumber",
+            "ResizeToFit",
+            "SaveFrame",
+            "WarpFrame"
+        ],
+        {
+            "title_aux": "ComfyWarp"
+        }
+    ],
+    "https://github.com/TGu-97/ComfyUI-TGu-utils": [
+        [
+            "MPNReroute",
+            "MPNSwitch",
+            "PNSwitch"
+        ],
+        {
+            "title_aux": "TGu Utilities"
+        }
+    ],
+    "https://github.com/THtianhao/ComfyUI-FaceChain": [
+        [
+            "FC CropAndPaste",
+            "FC CropBottom",
+            "FC CropToOrigin",
+            "FC FaceDetectCrop",
+            "FC FaceFusion",
+            "FC FaceSegAndReplace",
+            "FC FaceSegment",
+            "FC MaskOP",
+            "FC RemoveCannyFace",
+            "FC ReplaceByMask",
+            "FC StyleLoraLoad"
+        ],
+        {
+            "title_aux": "ComfyUI-FaceChain"
+        }
+    ],
+    "https://github.com/THtianhao/ComfyUI-Portrait-Maker": [
+        [
+            "PM_BoxCropImage",
+            "PM_ColorTransfer",
+            "PM_ExpandMaskBox",
+            "PM_FaceFusion",
+            "PM_FaceShapMatch",
+            "PM_FaceSkin",
+            "PM_GetImageInfo",
+            "PM_ImageResizeTarget",
+            "PM_ImageScaleShort",
+            "PM_MakeUpTransfer",
+            "PM_MaskDilateErode",
+            "PM_MaskMerge2Image",
+            "PM_PortraitEnhancement",
+            "PM_RatioMerge2Image",
+            "PM_ReplaceBoxImg",
+            "PM_RetinaFace",
+            "PM_Similarity",
+            "PM_SkinRetouching",
+            "PM_SuperColorTransfer",
+            "PM_SuperMakeUpTransfer"
+        ],
+        {
+            "title_aux": "ComfyUI-Portrait-Maker"
+        }
+    ],
+    "https://github.com/TJ16th/comfyUI_TJ_NormalLighting": [
+        [
+            "EulerLightingNode"
+        ],
+        {
+            "title_aux": "comfyUI_TJ_NormalLighting"
+        }
+    ],
+    "https://github.com/TMElyralab/Comfyui-MusePose": [
+        [
+            "filenamestring",
+            "musepose",
+            "museposealign"
+        ],
+        {
+            "title_aux": "Comfyui-MusePose"
+        }
+    ],
+    "https://github.com/TRI3D-LC/ComfyUI-MiroBoard": [
+        [
+            "add-image-miro-board"
+        ],
+        {
+            "title_aux": "ComfyUI-MiroBoard"
+        }
+    ],
+    "https://github.com/TRI3D-LC/tri3d-comfyui-nodes": [
+        [
+            "get_histogram_limits",
+            "main_light_layer",
+            "main_scaled_paste",
+            "simple_rescale_histogram",
+            "tri3d-HistogramEqualization",
+            "tri3d-LAB_2_RGB",
+            "tri3d-RGB_2_LAB",
+            "tri3d-adjust-neck",
+            "tri3d-atr-parse",
+            "tri3d-atr-parse-batch",
+            "tri3d-bgremove-mega",
+            "tri3d-clean_mask",
+            "tri3d-clear-memory",
+            "tri3d-clipdrop-bgremove-api",
+            "tri3d-clipdrop-bgreplace-api",
+            "tri3d-composite-image-splitter",
+            "tri3d-dwpose",
+            "tri3d-extract-hand",
+            "tri3d-extract-masks-batch",
+            "tri3d-extract-parts-batch",
+            "tri3d-extract-parts-batch2",
+            "tri3d-extract-parts-mask-batch",
+            "tri3d-extract-pascal-parts-batch",
+            "tri3d-extract_pose_part",
+            "tri3d-face-recognise",
+            "tri3d-flexible_color_extract",
+            "tri3d-float-to-image",
+            "tri3d-fuzzification",
+            "tri3d-get_histogram_limits",
+            "tri3d-get_mean_and_standard_deviation",
+            "tri3d-get_threshold_for_bg_swap",
+            "tri3d-image-mask-2-box",
+            "tri3d-image-mask-box-2-image",
+            "tri3d-interaction-canny",
+            "tri3d-levindabhi-cloth-seg",
+            "tri3d-load-pose-json",
+            "tri3d-load_AEMatter_Model",
+            "tri3d-luminosity-match",
+            "tri3d-main_transparent_background",
+            "tri3d-photoroom-bgremove-api",
+            "tri3d-pose-adaption",
+            "tri3d-pose-to-image",
+            "tri3d-position-hands",
+            "tri3d-position-parts-batch",
+            "tri3d-position-pascal-parts-batch",
+            "tri3d-recolor-mask",
+            "tri3d-recolor-mask-LAB_space",
+            "tri3d-recolor-mask-LAB_space_manual",
+            "tri3d-recolor-mask-RGB_space",
+            "tri3d-renormalize_array",
+            "tri3d-run_AEMatter_inference",
+            "tri3d-scaled-paste",
+            "tri3d-scaled-paste_unsafe",
+            "tri3d-simple_bg_swap",
+            "tri3d-simple_rescale_histogram",
+            "tri3d-skin-feathered-padded-mask",
+            "tri3d-swap-pixels",
+            "tri3d_extract_facer_mask",
+            "tri3d_fill_mask",
+            "tri3d_is_only_trouser",
+            "tri3d_position_pose_part"
+        ],
+        {
+            "title_aux": "tri3d-comfyui-nodes"
+        }
+    ],
+    "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor": [
+        [
+            "TTPlanet_Tile_Preprocessor_GF",
+            "TTPlanet_Tile_Preprocessor_Simple",
+            "TTPlanet_Tile_Preprocessor_cufoff",
+            "TTPlanet_inpainting_Preprecessor"
+        ],
+        {
+            "title_aux": "for comfyui image proprocessor"
+        }
+    ],
+    "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset": [
+        [
+            "TTP_CoordinateSplitter",
+            "TTP_Image_Assy",
+            "TTP_Image_Tile_Batch",
+            "TTP_Tile_image_size",
+            "TTP_condsetarea_merge",
+            "TTP_condtobatch",
+            "TTPlanet_Tile_Preprocessor_Simple"
+        ],
+        {
+            "title_aux": "Comfyui_TTP_Toolset"
+        }
+    ],
+    "https://github.com/TW-CUI/TW-CUI-Util": [
+        [
+            "TWCUI_Util_CommonSDXLResolutions",
+            "TWCUI_Util_FloatLiteral",
+            "TWCUI_Util_GenerationParameters",
+            "TWCUI_Util_GenerationPrompts",
+            "TWCUI_Util_IntLiteral",
+            "TWCUI_Util_ModelVAELORALoader",
+            "TWCUI_Util_ModelVAELoader",
+            "TWCUI_Util_MultilineStringLiteral",
+            "TWCUI_Util_SaveImage",
+            "TWCUI_Util_SaveImageAdvanced",
+            "TWCUI_Util_StringLiteral"
+        ],
+        {
+            "title_aux": "TW-CUI-Util"
+        }
+    ],
+    "https://github.com/TaiTair/comfyui-simswap": [
+        [
+            "Simswap",
+            "SimswapBuildFaceModel",
+            "SimswapFaceSwapOpt",
+            "SimswapImageDublicator",
+            "SimswapLoadFaceModel",
+            "SimswapMaskHelper",
+            "SimswapOptions",
+            "SimswapRestoreFace",
+            "SimswapSaveFaceModel"
+        ],
+        {
+            "title_aux": "Simswap Node for ComfyUI"
+        }
+    ],
+    "https://github.com/Taremin/comfyui-prompt-extranetworks": [
+        [
+            "PromptExtraNetworks"
+        ],
+        {
+            "title_aux": "ComfyUI Prompt ExtraNetworks"
+        }
+    ],
+    "https://github.com/Taremin/comfyui-string-tools": [
+        [
+            "StringToolsBalancedChoice",
+            "StringToolsConcat",
+            "StringToolsRandomChoice",
+            "StringToolsString",
+            "StringToolsText"
+        ],
+        {
+            "title_aux": "ComfyUI String Tools"
+        }
+    ],
+    "https://github.com/Taremin/webui-monaco-prompt": [
+        [
+            "WebuiMonacoPromptFind",
+            "WebuiMonacoPromptReplace"
+        ],
+        {
+            "title_aux": "WebUI Monaco Prompt"
+        }
+    ],
+    "https://github.com/TeaCrab/ComfyUI-TeaNodes": [
+        [
+            "TC_ColorFill",
+            "TC_CropTo",
+            "TC_EqualizeCLAHE",
+            "TC_ImageResize",
+            "TC_ImageScale",
+            "TC_KorniaGamma",
+            "TC_RandomColorFill",
+            "TC_SizeApproximation"
+        ],
+        {
+            "title_aux": "ComfyUI-TeaNodes"
+        }
+    ],
+    "https://github.com/TechnoByteJS/ComfyUI-TechNodes": [
+        [
+            "ClipQuant",
+            "MBW Layers String",
+            "ModelQuant",
+            "SD1 MBW Layers",
+            "SD1 MBW Layers Binary",
+            "SDNext Merge",
+            "SDXL MBW Layers",
+            "SDXL MBW Layers Binary",
+            "VAE Merge",
+            "VAEQuant",
+            "VAERepeat"
+        ],
+        {
+            "title_aux": "TechNodes"
+        }
+    ],
+    "https://github.com/TemryL/ComfyS3": [
+        [
+            "DownloadFileS3",
+            "LoadImageS3",
+            "SaveImageS3",
+            "SaveVideoFilesS3",
+            "UploadFileS3"
+        ],
+        {
+            "title_aux": "ComfyS3"
+        }
+    ],
+    "https://github.com/TemryL/ComfyUI-IDM-VTON": [
+        [
+            "IDM-VTON",
+            "PipelineLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-IDM-VTON [WIP]"
+        }
+    ],
+    "https://github.com/TencentQQGYLab/ComfyUI-ELLA": [
+        [
+            "CombineClipEllaEmbeds",
+            "ConcatConditionEllaEmbeds",
+            "ConditionToEllaEmbeds",
+            "ELLALoader",
+            "EllaApply",
+            "EllaCombineEmbeds",
+            "EllaEncode",
+            "EllaTextEncode",
+            "SetEllaTimesteps",
+            "T5TextEncode #ELLA",
+            "T5TextEncoderLoader #ELLA"
+        ],
+        {
+            "title_aux": "ComfyUI-ELLA"
+        }
+    ],
+    "https://github.com/TheBarret/ZSuite": [
+        [
+            "ZSuite: Prompter",
+            "ZSuite: RF Noise",
+            "ZSuite: SeedMod"
+        ],
+        {
+            "title_aux": "ZSuite"
+        }
+    ],
+    "https://github.com/TheBill2001/comfyui-upscale-by-model": [
+        [
+            "UpscaleImageByUsingModel"
+        ],
+        {
+            "author": "Tr\u1ea7n Nam Tu\u1ea5n",
+            "description": "This custom node allow upscaling an image by a factor using a model.",
+            "nickname": "Upscale Image By (Using Model)",
+            "title": "Upscale Image By (Using Model)",
+            "title_aux": "comfyui-upscale-by-model"
+        }
+    ],
+    "https://github.com/TheMistoAI/ComfyUI-Anyline": [
+        [
+            "AnyLinePreprocessor"
+        ],
+        {
+            "title_aux": "Anyline"
+        }
+    ],
+    "https://github.com/ThereforeGames/ComfyUI-Unprompted": [
+        [
+            "Unprompted"
+        ],
+        {
+            "title_aux": "ComfyUI-Unprompted"
+        }
+    ],
+    "https://github.com/TinyTerra/ComfyUI_tinyterraNodes": [
+        [
+            "ttN KSampler_v2",
+            "ttN advPlot combo",
+            "ttN advPlot range",
+            "ttN advPlot string",
+            "ttN advanced xyPlot",
+            "ttN compareInput",
+            "ttN concat",
+            "ttN conditioning",
+            "ttN debugInput",
+            "ttN float",
+            "ttN hiresfixScale",
+            "ttN imageOutput",
+            "ttN imageREMBG",
+            "ttN int",
+            "ttN multiModelMerge",
+            "ttN pipe2BASIC",
+            "ttN pipe2DETAILER",
+            "ttN pipeEDIT",
+            "ttN pipeEncodeConcat",
+            "ttN pipeIN",
+            "ttN pipeKSampler",
+            "ttN pipeKSamplerAdvanced",
+            "ttN pipeKSamplerAdvanced_v2",
+            "ttN pipeKSamplerSDXL",
+            "ttN pipeKSamplerSDXL_v2",
+            "ttN pipeKSampler_v2",
+            "ttN pipeLoader",
+            "ttN pipeLoaderSDXL",
+            "ttN pipeLoaderSDXL_v2",
+            "ttN pipeLoader_v2",
+            "ttN pipeLoraStack",
+            "ttN pipeOUT",
+            "ttN seed",
+            "ttN text",
+            "ttN text3BOX_3WAYconcat",
+            "ttN text7BOX_concat",
+            "ttN textCycleLine",
+            "ttN textDebug",
+            "ttN textOutput",
+            "ttN tinyLoader",
+            "ttN xyPlot"
+        ],
+        {
+            "author": "tinyterra",
+            "description": "This extension offers extensive xyPlot, various pipe nodes, fullscreen image viewer based on node history, dynamic widgets, interface customization, and more.",
+            "nickname": "\ud83c\udf0f",
+            "nodename_pattern": "^ttN ",
+            "title": "tinyterraNodes",
+            "title_aux": "ComfyUI_tinyterraNodes"
+        }
+    ],
+    "https://github.com/Trgtuan10/ComfyUI_YoloSegment_Mask": [
+        [
+            "Object Mask"
+        ],
+        {
+            "title_aux": "ComfyUI_YoloSegment_Mask"
+        }
+    ],
+    "https://github.com/TripleHeadedMonkey/ComfyUI_MileHighStyler": [
+        [
+            "menus"
+        ],
+        {
+            "title_aux": "ComfyUI_MileHighStyler"
+        }
+    ],
+    "https://github.com/Tropfchen/ComfyUI-Embedding_Picker": [
+        [
+            "EmbeddingPicker"
+        ],
+        {
+            "title_aux": "Embedding Picker"
+        }
+    ],
+    "https://github.com/Tropfchen/ComfyUI-yaResolutionSelector": [
+        [
+            "YARS",
+            "YARSAdv"
+        ],
+        {
+            "title_aux": "YARS: Yet Another Resolution Selector"
+        }
+    ],
+    "https://github.com/Trung0246/ComfyUI-0246": [
+        [
+            "0246.Beautify",
+            "0246.BoxRange",
+            "0246.CastReroute",
+            "0246.Cloud",
+            "0246.Count",
+            "0246.Highway",
+            "0246.HighwayBatch",
+            "0246.Hold",
+            "0246.Hub",
+            "0246.Junction",
+            "0246.JunctionBatch",
+            "0246.Loop",
+            "0246.Merge",
+            "0246.Meta",
+            "0246.RandomInt",
+            "0246.Script",
+            "0246.ScriptNode",
+            "0246.ScriptPile",
+            "0246.ScriptRule",
+            "0246.Stringify",
+            "0246.Switch",
+            "0246.Tag"
+        ],
+        {
+            "author": "Trung0246",
+            "description": "Random nodes for ComfyUI I made to solve my struggle with ComfyUI (ex: pipe, process). Have varying quality.",
+            "nickname": "ComfyUI-0246",
+            "title": "ComfyUI-0246",
+            "title_aux": "ComfyUI-0246"
+        }
+    ],
+    "https://github.com/Ttl/ComfyUi_NNLatentUpscale": [
+        [
+            "NNLatentUpscale"
+        ],
+        {
+            "preemptions": [
+                "NNLatentUpscale"
+            ],
+            "title_aux": "ComfyUI Neural Network Latent Upscale"
+        }
+    ],
+    "https://github.com/TylerZoro/SD3-Scaling": [
+        [
+            "SD3ImageScaleToTotalPixels"
+        ],
+        {
+            "title_aux": "SD3-Scaling"
+        }
+    ],
+    "https://github.com/Umikaze-job/select_folder_path_easy": [
+        [
+            "SelectFolderPathEasy"
+        ],
+        {
+            "title_aux": "select_folder_path_easy"
+        }
+    ],
+    "https://github.com/VAST-AI-Research/ComfyUI-Tripo": [
+        [
+            "TripoAPIDraft",
+            "TripoAnimateRetargetNode",
+            "TripoAnimateRigNode",
+            "TripoGLBViewer",
+            "TripoRefineModel"
+        ],
+        {
+            "title_aux": "Tripo for ComfyUI"
+        }
+    ],
+    "https://github.com/Visionatrix/ComfyUI-Visionatrix": [
+        [
+            "VixUiCheckbox",
+            "VixUiCheckboxLogic",
+            "VixUiList",
+            "VixUiListLogic",
+            "VixUiPrompt",
+            "VixUiRangeFloat",
+            "VixUiRangeInt",
+            "VixUiRangeScaleFloat",
+            "VixUiWorkflowMetadata"
+        ],
+        {
+            "title_aux": "ComfyUI-Visionatrix"
+        }
+    ],
+    "https://github.com/VykosX/ControlFlowUtils": [
+        [
+            "Cycle",
+            "CycleContinue",
+            "CycleEnd",
+            "DataMonitor",
+            "FallbackImagePreviewer",
+            "FolderSearch",
+            "GarbageCollector",
+            "HaltExecution",
+            "IfConditionSelector",
+            "ImageResolutionAdjust",
+            "InvertCondition",
+            "LoraSelector",
+            "MemoryStorage",
+            "ModelSelector",
+            "NullInput",
+            "NullOutput",
+            "ReadTextFile",
+            "SaveTextFile",
+            "SimpleToggle",
+            "StringOperation",
+            "UniversalSwitch",
+            "UnloadModels",
+            "VAESelector",
+            "Wait"
+        ],
+        {
+            "title_aux": "ControlFlowUtils"
+        }
+    ],
+    "https://github.com/WASasquatch/ASTERR": [
+        [
+            "ASTERR",
+            "SaveASTERR"
+        ],
+        {
+            "title_aux": "ASTERR"
+        }
+    ],
+    "https://github.com/WASasquatch/ComfyUI_Preset_Merger": [
+        [
+            "Preset_Model_Merge"
+        ],
+        {
+            "title_aux": "ComfyUI Preset Merger"
+        }
+    ],
+    "https://github.com/WASasquatch/FreeU_Advanced": [
+        [
+            "FreeU (Advanced)",
+            "FreeU_V2 (Advanced)"
+        ],
+        {
+            "title_aux": "FreeU_Advanced"
+        }
+    ],
+    "https://github.com/WASasquatch/PPF_Noise_ComfyUI": [
+        [
+            "Blend Latents (PPF Noise)",
+            "Cross-Hatch Power Fractal (PPF Noise)",
+            "Images as Latents (PPF Noise)",
+            "Perlin Power Fractal Latent (PPF Noise)"
+        ],
+        {
+            "title_aux": "PPF_Noise_ComfyUI"
+        }
+    ],
+    "https://github.com/WASasquatch/PowerNoiseSuite": [
+        [
+            "Blend Latents (PPF Noise)",
+            "Cross-Hatch Power Fractal (PPF Noise)",
+            "Cross-Hatch Power Fractal Settings (PPF Noise)",
+            "Images as Latents (PPF Noise)",
+            "Latent Adjustment (PPF Noise)",
+            "Latents to CPU (PPF Noise)",
+            "Linear Cross-Hatch Power Fractal (PPF Noise)",
+            "Perlin Power Fractal Latent (PPF Noise)",
+            "Perlin Power Fractal Settings (PPF Noise)",
+            "Power KSampler Advanced (PPF Noise)",
+            "Power-Law Noise (PPF Noise)"
+        ],
+        {
+            "title_aux": "Power Noise Suite for ComfyUI"
+        }
+    ],
+    "https://github.com/WASasquatch/WAS_Extras": [
+        [
+            "BLVAEEncode",
+            "CLIPTextEncodeList",
+            "CLIPTextEncodeSequence2",
+            "ConditioningBlend",
+            "DebugInput",
+            "KSamplerSeq",
+            "KSamplerSeq2",
+            "VAEEncodeForInpaint (WAS)",
+            "VividSharpen"
+        ],
+        {
+            "title_aux": "WAS_Extras"
+        }
+    ],
+    "https://github.com/WASasquatch/was-node-suite-comfyui": [
+        [
+            "BLIP Analyze Image",
+            "BLIP Model Loader",
+            "Blend Latents",
+            "Boolean To Text",
+            "Bounded Image Blend",
+            "Bounded Image Blend with Mask",
+            "Bounded Image Crop",
+            "Bounded Image Crop with Mask",
+            "Bus Node",
+            "CLIP Input Switch",
+            "CLIP Vision Input Switch",
+            "CLIPSEG2",
+            "CLIPSeg Batch Masking",
+            "CLIPSeg Masking",
+            "CLIPSeg Model Loader",
+            "CLIPTextEncode (BlenderNeko Advanced + NSP)",
+            "CLIPTextEncode (NSP)",
+            "Cache Node",
+            "Checkpoint Loader",
+            "Checkpoint Loader (Simple)",
+            "Conditioning Input Switch",
+            "Constant Number",
+            "Control Net Model Input Switch",
+            "Convert Masks to Images",
+            "Create Grid Image",
+            "Create Grid Image from Batch",
+            "Create Morph Image",
+            "Create Morph Image from Path",
+            "Create Video from Path",
+            "Debug Number to Console",
+            "Dictionary to Console",
+            "Diffusers Hub Model Down-Loader",
+            "Diffusers Model Loader",
+            "Export API",
+            "HSL to Hex",
+            "Hex to HSL",
+            "Image Analyze",
+            "Image Aspect Ratio",
+            "Image Batch",
+            "Image Blank",
+            "Image Blend",
+            "Image Blend by Mask",
+            "Image Blending Mode",
+            "Image Bloom Filter",
+            "Image Bounds",
+            "Image Bounds to Console",
+            "Image Canny Filter",
+            "Image Chromatic Aberration",
+            "Image Color Palette",
+            "Image Crop Face",
+            "Image Crop Location",
+            "Image Crop Square Location",
+            "Image Displacement Warp",
+            "Image Dragan Photography Filter",
+            "Image Edge Detection Filter",
+            "Image Film Grain",
+            "Image Filter Adjustments",
+            "Image Flip",
+            "Image Generate Gradient",
+            "Image Gradient Map",
+            "Image High Pass Filter",
+            "Image History Loader",
+            "Image Input Switch",
+            "Image Levels Adjustment",
+            "Image Load",
+            "Image Lucy Sharpen",
+            "Image Median Filter",
+            "Image Mix RGB Channels",
+            "Image Monitor Effects Filter",
+            "Image Nova Filter",
+            "Image Padding",
+            "Image Paste Crop",
+            "Image Paste Crop by Location",
+            "Image Paste Face",
+            "Image Perlin Noise",
+            "Image Perlin Power Fractal",
+            "Image Pixelate",
+            "Image Power Noise",
+            "Image Rembg (Remove Background)",
+            "Image Remove Background (Alpha)",
+            "Image Remove Color",
+            "Image Resize",
+            "Image Rotate",
+            "Image Rotate Hue",
+            "Image SSAO (Ambient Occlusion)",
+            "Image SSDO (Direct Occlusion)",
+            "Image Save",
+            "Image Seamless Texture",
+            "Image Select Channel",
+            "Image Select Color",
+            "Image Send HTTP",
+            "Image Shadows and Highlights",
+            "Image Size to Number",
+            "Image Stitch",
+            "Image Style Filter",
+            "Image Threshold",
+            "Image Tiled",
+            "Image Transpose",
+            "Image Voronoi Noise Filter",
+            "Image fDOF Filter",
+            "Image to Latent Mask",
+            "Image to Noise",
+            "Image to Seed",
+            "Images to Linear",
+            "Images to RGB",
+            "Inset Image Bounds",
+            "Integer place counter",
+            "KSampler (WAS)",
+            "KSampler Cycle",
+            "Latent Batch",
+            "Latent Input Switch",
+            "Latent Noise Injection",
+            "Latent Size to Number",
+            "Latent Upscale by Factor (WAS)",
+            "Load Cache",
+            "Load Image Batch",
+            "Load Lora",
+            "Load Text File",
+            "Logic Boolean",
+            "Logic Boolean Primitive",
+            "Logic Comparison AND",
+            "Logic Comparison OR",
+            "Logic Comparison XOR",
+            "Logic NOT",
+            "Lora Input Switch",
+            "Lora Loader",
+            "Mask Arbitrary Region",
+            "Mask Batch",
+            "Mask Batch to Mask",
+            "Mask Ceiling Region",
+            "Mask Crop Dominant Region",
+            "Mask Crop Minority Region",
+            "Mask Crop Region",
+            "Mask Dilate Region",
+            "Mask Dominant Region",
+            "Mask Erode Region",
+            "Mask Fill Holes",
+            "Mask Floor Region",
+            "Mask Gaussian Region",
+            "Mask Invert",
+            "Mask Minority Region",
+            "Mask Paste Region",
+            "Mask Smooth Region",
+            "Mask Threshold Region",
+            "Masks Add",
+            "Masks Combine Batch",
+            "Masks Combine Regions",
+            "Masks Subtract",
+            "MiDaS Depth Approximation",
+            "MiDaS Mask Image",
+            "MiDaS Model Loader",
+            "Model Input Switch",
+            "Number Counter",
+            "Number Input Condition",
+            "Number Input Switch",
+            "Number Multiple Of",
+            "Number Operation",
+            "Number PI",
+            "Number to Float",
+            "Number to Int",
+            "Number to Seed",
+            "Number to String",
+            "Number to Text",
+            "Prompt Multiple Styles Selector",
+            "Prompt Styles Selector",
+            "Random Number",
+            "SAM Image Mask",
+            "SAM Model Loader",
+            "SAM Parameters",
+            "SAM Parameters Combine",
+            "Samples Passthrough (Stat System)",
+            "Save Text File",
+            "Seed",
+            "String to Text",
+            "Tensor Batch to Image",
+            "Text Add Token by Input",
+            "Text Add Tokens",
+            "Text Compare",
+            "Text Concatenate",
+            "Text Contains",
+            "Text Dictionary Convert",
+            "Text Dictionary Get",
+            "Text Dictionary Keys",
+            "Text Dictionary New",
+            "Text Dictionary To Text",
+            "Text Dictionary Update",
+            "Text File History Loader",
+            "Text Find",
+            "Text Find and Replace",
+            "Text Find and Replace Input",
+            "Text Find and Replace by Dictionary",
+            "Text Input Switch",
+            "Text List",
+            "Text List Concatenate",
+            "Text List to Text",
+            "Text Load Line From File",
+            "Text Multiline",
+            "Text Multiline (Code Compatible)",
+            "Text Parse A1111 Embeddings",
+            "Text Parse Noodle Soup Prompts",
+            "Text Parse Tokens",
+            "Text Random Line",
+            "Text Random Prompt",
+            "Text Shuffle",
+            "Text Sort",
+            "Text String",
+            "Text String Truncate",
+            "Text to Conditioning",
+            "Text to Console",
+            "Text to Number",
+            "Text to String",
+            "True Random.org Number Generator",
+            "Upscale Model Loader",
+            "Upscale Model Switch",
+            "VAE Input Switch",
+            "Video Dump Frames",
+            "Write to GIF",
+            "Write to Video",
+            "unCLIP Checkpoint Loader"
+        ],
+        {
+            "title_aux": "WAS Node Suite"
+        }
+    ],
+    "https://github.com/WX-NPS1598/ComfyUI-Auto_Crop_By_NPS": [
+        [
+            "AutoCropByNPS"
+        ],
+        {
+            "title_aux": "Auto Crop By NPS"
+        }
+    ],
+    "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD": [
+        [
+            "InstaCBoolean",
+            "InstaCFloat",
+            "InstaCInteger",
+            "InstaCSeed",
+            "InstaCText",
+            "InstaCTextML"
+        ],
+        {
+            "title_aux": "InstaSD nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/WebDev9000/WebDev9000-Nodes": [
+        [
+            "IgnoreBraces",
+            "SettingsSwitch"
+        ],
+        {
+            "title_aux": "WebDev9000-Nodes"
+        }
+    ],
+    "https://github.com/Wicloz/ComfyUI-Simply-Nodes": [
+        [
+            "WF_ConditionalLoraLoader",
+            "WF_MultilineText",
+            "WF_RandomStyle",
+            "WF_ResolutionSDXL",
+            "WF_TextFlow"
+        ],
+        {
+            "title_aux": "ComfyUI Simply Nodes"
+        }
+    ],
+    "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes": [
+        [
+            "CheckpointLoaderSimpleWithPreviews",
+            "CivitaiCheckpointLoaderSimple",
+            "CivitaiLoraLoader",
+            "CivitaiLoraLoaderStacked",
+            "CivitaiLoraLoaderStackedAdvanced",
+            "LoraLoaderStackedAdvancedWithPreviews",
+            "LoraLoaderStackedWithPreviews",
+            "LoraLoaderWithPreviews",
+            "XTNodesCleanPrompt",
+            "XTNodesPromptConcatenate"
+        ],
+        {
+            "title_aux": "ComfyUI Easy Civitai (XTNodes)"
+        }
+    ],
+    "https://github.com/XLabs-AI/x-flux-comfyui": [
+        [
+            "ApplyAdvancedFluxControlNet",
+            "ApplyAdvancedFluxIPAdapter",
+            "ApplyFluxControlNet",
+            "ApplyFluxIPAdapter",
+            "FluxLoraLoader",
+            "LoadFluxControlNet",
+            "LoadFluxIPAdapter",
+            "XlabsSampler"
+        ],
+        {
+            "title_aux": "x-flux-comfyui"
+        }
+    ],
+    "https://github.com/Xclbr7/ComfyUI-Merlin": [
+        [
+            "GeminiPromptExpander",
+            "Magic Photo Prompter \ud83e\ude84"
+        ],
+        {
+            "title_aux": "ComfyUI-Merlin: Magic Photo Prompter"
+        }
+    ],
+    "https://github.com/XmYx/deforum-comfy-nodes": [
+        [
+            "DeforumAddNoiseNode",
+            "DeforumAnimParamsNode",
+            "DeforumAreaPromptNode",
+            "DeforumBaseParamsNode",
+            "DeforumCacheLatentNode",
+            "DeforumCadenceNode",
+            "DeforumCadenceParamsNode",
+            "DeforumColorMatchNode",
+            "DeforumColorParamsNode",
+            "DeforumConditioningBlendNode",
+            "DeforumDepthParamsNode",
+            "DeforumDiffusionParamsNode",
+            "DeforumFILMInterpolationNode",
+            "DeforumFrameWarpNode",
+            "DeforumGetCachedLatentNode",
+            "DeforumHybridMotionNode",
+            "DeforumHybridParamsNode",
+            "DeforumHybridScheduleNode",
+            "DeforumIteratorNode",
+            "DeforumKSampler",
+            "DeforumLoadVideo",
+            "DeforumNoiseParamsNode",
+            "DeforumPromptNode",
+            "DeforumSeedNode",
+            "DeforumSetVAEDownscaleRatioNode",
+            "DeforumSimpleInterpolationNode",
+            "DeforumSingleSampleNode",
+            "DeforumTranslationParamsNode",
+            "DeforumVideoSaveNode"
+        ],
+        {
+            "title_aux": "Deforum Nodes"
+        }
+    ],
+    "https://github.com/Xyem/Xycuno-Oobabooga": [
+        [
+            "Oobabooga"
+        ],
+        {
+            "title_aux": "Xycuno Oobabooga"
+        }
+    ],
+    "https://github.com/YMC-GitHub/ymc-node-suite-comfyui": [
+        [
+            "canvas-util-cal-size",
+            "conditioning-util-input-switch",
+            "cutoff-region-util",
+            "hks-util-cal-denoise-step",
+            "img-util-get-image-size",
+            "img-util-switch-input-image",
+            "io-image-save",
+            "io-text-save",
+            "io-util-file-list-get",
+            "io-util-file-list-get-text",
+            "number-util-random-num",
+            "pipe-util-to-basic-pipe",
+            "region-util-get-by-center-and-size",
+            "region-util-get-by-lt",
+            "region-util-get-crop-location-from-center-size-text",
+            "region-util-get-pad-out-location-by-size",
+            "text-preset-colors",
+            "text-util-join-text",
+            "text-util-loop-text",
+            "text-util-path-list",
+            "text-util-prompt-add-prompt",
+            "text-util-prompt-adv-dup",
+            "text-util-prompt-adv-search",
+            "text-util-prompt-del",
+            "text-util-prompt-dup",
+            "text-util-prompt-join",
+            "text-util-prompt-search",
+            "text-util-prompt-shuffle",
+            "text-util-prompt-std",
+            "text-util-prompt-unweight",
+            "text-util-random-text",
+            "text-util-search-text",
+            "text-util-show-text",
+            "text-util-switch-text",
+            "xyz-util-txt-to-int"
+        ],
+        {
+            "title_aux": "ymc-node-suite-comfyui"
+        }
+    ],
+    "https://github.com/YOUR-WORST-TACO/ComfyUI-TacoNodes": [
+        [
+            "Example",
+            "TacoAnimatedLoader",
+            "TacoGifMaker",
+            "TacoImg2ImgAnimatedLoader",
+            "TacoImg2ImgAnimatedProcessor",
+            "TacoLatent"
+        ],
+        {
+            "title_aux": "ComfyUI-TacoNodes"
+        }
+    ],
+    "https://github.com/Yanick112/ComfyUI-ToSVG": [
+        [
+            "ConvertRasterToVector",
+            "SaveSVG"
+        ],
+        {
+            "title_aux": "ComfyUI-ToSVG"
+        }
+    ],
+    "https://github.com/YinBailiang/MergeBlockWeighted_fo_ComfyUI": [
+        [
+            "MergeBlockWeighted"
+        ],
+        {
+            "title_aux": "MergeBlockWeighted_fo_ComfyUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-APISR": [
+        [
+            "APISR_Lterative_Zho",
+            "APISR_ModelLoader_Zho",
+            "APISR_Zho"
+        ],
+        {
+            "title_aux": "APISR IN COMFYUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Animated-optical-illusions": [
+        [
+            "AOI_Processing_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Animated-optical-illusions"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-ArtGallery": [
+        [
+            "ArtGallery_Zho",
+            "ArtistsImage_Zho",
+            "CamerasImage_Zho",
+            "FilmsImage_Zho",
+            "MovementsImage_Zho",
+            "StylesImage_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-ArtGallery"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG": [
+        [
+            "BRIA_RMBG_ModelLoader_Zho",
+            "BRIA_RMBG_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-BRIA_AI-RMBG"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BiRefNet-ZHO": [
+        [
+            "BiRefNet_ModelLoader_Zho",
+            "BiRefNet_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-BiRefNet-ZHO"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM": [
+        [
+            "DepthFM_Literative_Zho",
+            "DepthFM_ModelLoader_Zho",
+            "DepthFM_Zho"
+        ],
+        {
+            "title_aux": "DepthFM IN COMFYUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Gemini": [
+        [
+            "ConcatText_Zho",
+            "DisplayText_Zho",
+            "Gemini_15P_API_S_Advance_Zho",
+            "Gemini_15P_API_S_Chat_Advance_Zho",
+            "Gemini_API_Chat_Zho",
+            "Gemini_API_S_Chat_Zho",
+            "Gemini_API_S_Vsion_ImgURL_Zho",
+            "Gemini_API_S_Zho",
+            "Gemini_API_Vsion_ImgURL_Zho",
+            "Gemini_API_Zho",
+            "Gemini_FileUpload_API_S_Zho",
+            "Gemini_File_API_S_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Gemini"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID": [
+        [
+            "IDBaseModelLoader_fromhub",
+            "IDBaseModelLoader_local",
+            "IDControlNetLoader",
+            "IDGenerationNode",
+            "ID_Prompt_Styler",
+            "InsightFaceLoader_Zho",
+            "Ipadapter_instantidLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-InstantID"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Phi-3-mini": [
+        [
+            "Phi3mini_4k_Chat_Zho",
+            "Phi3mini_4k_ModelLoader_Zho",
+            "Phi3mini_4k_Zho"
+        ],
+        {
+            "title_aux": "Phi-3-mini in ComfyUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PhotoMaker-ZHO": [
+        [
+            "BaseModel_Loader_fromhub",
+            "BaseModel_Loader_local",
+            "LoRALoader",
+            "NEW_PhotoMaker_Generation",
+            "PhotoMakerAdapter_Loader_fromhub",
+            "PhotoMakerAdapter_Loader_local",
+            "PhotoMaker_Generation",
+            "Prompt_Styler",
+            "Ref_Image_Preprocessing"
+        ],
+        {
+            "title_aux": "ComfyUI PhotoMaker (ZHO)"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PixArt-alpha-Diffusers": [
+        [
+            "PA_BaseModelLoader_fromhub_Zho",
+            "PA_Generation_Zho",
+            "PA_Styler_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-PixArt-alpha-Diffusers"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Q-Align": [
+        [
+            "QAlign_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Q-Align"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-2": [
+        [
+            "Qwen2_Chat_Zho",
+            "Qwen2_ModelLoader_Zho",
+            "Qwen2_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Qwen-2"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API": [
+        [
+            "QWenVL_API_S_Multi_Zho",
+            "QWenVL_API_S_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Qwen-VL-API"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO": [
+        [
+            "SVD_Aspect_Ratio_Zho",
+            "SVD_Steps_MotionStrength_Seed_Zho",
+            "SVD_Styler_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-SVD-ZHO (WIP)"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE": [
+        [
+            "SMoE_Generation_Zho",
+            "SMoE_ModelLoader_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI SegMoE"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Text_Image-Composite": [
+        [
+            "AlphaChanelAddByMask",
+            "ImageCompositeBy_BG_Zho",
+            "ImageCompositeBy_Zho",
+            "ImageComposite_BG_Zho",
+            "ImageComposite_Zho",
+            "RGB_Image_Zho",
+            "Text_Image_Frame_Zho",
+            "Text_Image_Multiline_Zho",
+            "Text_Image_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Text_Image-Composite [WIP]"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-UltraEdit-ZHO": [
+        [
+            "UltraEdit_Generation_Zho",
+            "UltraEdit_ModelLoader_Zho",
+            "UltraEdit_ModelLoader_local_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-UltraEdit-ZHO"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM": [
+        [
+            "ESAM_ModelLoader_Zho",
+            "Yoloworld_ESAM_DetectorProvider_Zho",
+            "Yoloworld_ESAM_Zho",
+            "Yoloworld_ModelLoader_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI YoloWorld-EfficientSAM"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/comfyui-portrait-master-zh-cn": [
+        [
+            "PortraitMaster_\u4e2d\u6587\u7248"
+        ],
+        {
+            "title_aux": "comfyui-portrait-master-zh-cn"
+        }
+    ],
+    "https://github.com/ZZXYWQ/ComfyUI-ZZXYWQ": [
+        [
+            "StreamRecorder",
+            "VideoFormatConverter",
+            "ZZX_PaintsUndo"
+        ],
+        {
+            "title_aux": "ZZX Nodes"
+        }
+    ],
+    "https://github.com/ZaneA/ComfyUI-ImageReward": [
+        [
+            "ImageRewardLoader",
+            "ImageRewardScore"
+        ],
+        {
+            "title_aux": "ImageReward"
+        }
+    ],
+    "https://github.com/ZeDarkAdam/ComfyUI-Embeddings-Tools": [
+        [
+            "EmbeddingsNameLoader",
+            "EmbendingList"
+        ],
+        {
+            "title_aux": "ComfyUI-Embeddings-Tools"
+        }
+    ],
+    "https://github.com/a1lazydog/ComfyUI-AudioScheduler": [
+        [
+            "AmplitudeToGraph",
+            "AmplitudeToNumber",
+            "AudioToAmplitudeGraph",
+            "AudioToAudioData",
+            "AudioToFFTs",
+            "BatchAmplitudeSchedule",
+            "ClipAmplitude",
+            "FloatArrayToGraph",
+            "GateNormalizedAmplitude",
+            "NormalizeAmplitude",
+            "NormalizedAmplitudeDrivenString",
+            "NormalizedAmplitudeToGraph",
+            "NormalizedAmplitudeToNumber",
+            "TransientAmplitudeBasic"
+        ],
+        {
+            "title_aux": "ComfyUI-AudioScheduler"
+        }
+    ],
+    "https://github.com/aburahamu/ComfyUI-IsNiceParts": [
+        [
+            "NiceHand"
+        ],
+        {
+            "title_aux": "ComfyUI-IsNiceParts"
+        }
+    ],
+    "https://github.com/aburahamu/ComfyUI-RequestsPoster": [
+        [
+            "GetImageFromSD3byI2I",
+            "GetImageFromSD3byT2I",
+            "PostImage2Discord",
+            "PostImage2X",
+            "PostText"
+        ],
+        {
+            "title_aux": "ComfyUI-RequestPoster"
+        }
+    ],
+    "https://github.com/abyz22/image_control": [
+        [
+            "abyz22_AddPrompt",
+            "abyz22_Convertpipe",
+            "abyz22_Editpipe",
+            "abyz22_FirstNonNull",
+            "abyz22_FromBasicPipe_v2",
+            "abyz22_Frompipe",
+            "abyz22_ImpactWildcardEncode",
+            "abyz22_ImpactWildcardEncode_GetPrompt",
+            "abyz22_Ksampler",
+            "abyz22_Padding Image",
+            "abyz22_RandomMask",
+            "abyz22_RemoveControlnet",
+            "abyz22_ResizeOpenpose",
+            "abyz22_SaveImage",
+            "abyz22_SetQueue",
+            "abyz22_ToBasicPipe",
+            "abyz22_Topipe",
+            "abyz22_blend_onecolor",
+            "abyz22_blendimages",
+            "abyz22_bypass",
+            "abyz22_censoring",
+            "abyz22_drawmask",
+            "abyz22_lamaInpaint",
+            "abyz22_lamaPreprocessor",
+            "abyz22_makecircles",
+            "abyz22_path_generator",
+            "abyz22_setimageinfo",
+            "abyz22_smallhead"
+        ],
+        {
+            "title_aux": "image_control"
+        }
+    ],
+    "https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface": [
+        [
+            "DownloadLinkChecker",
+            "ShowFileNames"
+        ],
+        {
+            "title_aux": "ComfyUI-TrashNodes-DownloadHuggingface"
+        }
+    ],
+    "https://github.com/adieyal/comfyui-dynamicprompts": [
+        [
+            "DPCombinatorialGenerator",
+            "DPFeelingLucky",
+            "DPJinja",
+            "DPMagicPrompt",
+            "DPOutput",
+            "DPRandomGenerator"
+        ],
+        {
+            "title_aux": "DynamicPrompts Custom Nodes"
+        }
+    ],
+    "https://github.com/adigayung/ComfyUI-Translator": [
+        [
+            "CLIP Text Encode (Auto Translate)",
+            "Prompt Text (Auto Translate)"
+        ],
+        {
+            "title_aux": "ComfyUI-Translator"
+        }
+    ],
+    "https://github.com/adriflex/ComfyUI_Blender_Texdiff": [
+        [
+            "ViewportColor",
+            "ViewportDepth"
+        ],
+        {
+            "title_aux": "ComfyUI_Blender_Texdiff"
+        }
+    ],
+    "https://github.com/aegis72/aegisflow_utility_nodes": [
+        [
+            "Add Text To Image",
+            "Aegisflow CLIP Pass",
+            "Aegisflow Conditioning Pass",
+            "Aegisflow Image Pass",
+            "Aegisflow Latent Pass",
+            "Aegisflow Mask Pass",
+            "Aegisflow Model Pass",
+            "Aegisflow Pos/Neg Pass",
+            "Aegisflow SDXL Tuple Pass",
+            "Aegisflow VAE Pass",
+            "Aegisflow controlnet preprocessor bus",
+            "Apply Instagram Filter",
+            "Binary INT Switch",
+            "Brightness_Contrast_Ally",
+            "Flatten Colors",
+            "Gaussian Blur_Ally",
+            "GlitchThis Effect",
+            "Hue Rotation",
+            "Image Flip_ally",
+            "Placeholder Tuple",
+            "Swap Color Mode",
+            "aegisflow Multi_Pass",
+            "aegisflow Multi_Pass XL",
+            "af_pipe_in_15",
+            "af_pipe_in_xl",
+            "af_pipe_out_15",
+            "af_pipe_out_xl"
+        ],
+        {
+            "title_aux": "AegisFlow Utility Nodes"
+        }
+    ],
+    "https://github.com/aegis72/comfyui-styles-all": [
+        [
+            "menus"
+        ],
+        {
+            "title_aux": "ComfyUI-styles-all"
+        }
+    ],
+    "https://github.com/ai-liam/comfyui-liam": [
+        [
+            "AiStoreAzureGPTLiam",
+            "GetBetterDepthImage",
+            "LiamLibDisplayText",
+            "LiamLibFillImage",
+            "LiamLibImageToGray",
+            "LiamLibLoadImage",
+            "LiamLibMergeText",
+            "LiamLibSaveImg",
+            "LiamLibSaveText",
+            "OllamaApiTNodeLiam",
+            "PreviewReliefImage",
+            "SpeechRecognitionLiam",
+            "SpeechSynthesisLiam"
+        ],
+        {
+            "title_aux": "LiamUtil"
+        }
+    ],
+    "https://github.com/ai-liam/comfyui_liam_util": [
+        [
+            "LiamLoadImage"
+        ],
+        {
+            "title_aux": "LiamUtil (single node)"
+        }
+    ],
+    "https://github.com/ai-shizuka/ComfyUI-tbox": [
+        [
+            "AnimalPosePreprocessor",
+            "ConstrainImageNode",
+            "DWPosePreprocessor",
+            "DWPreprocessor",
+            "DensePosePreprocessor",
+            "ImageLoader",
+            "ImageResize",
+            "ImageSaver",
+            "ImageSize",
+            "ImagesSaver",
+            "MiDaSDepthPreprocessor"
+        ],
+        {
+            "author": "tstandley",
+            "title_aux": "ComfyUI-tbox"
+        }
+    ],
+    "https://github.com/aianimation55/ComfyUI-FatLabels": [
+        [
+            "FatLabels"
+        ],
+        {
+            "title_aux": "Comfy UI FatLabels"
+        }
+    ],
+    "https://github.com/aidenli/ComfyUI_NYJY": [
+        [
+            "CivitaiPrompt",
+            "JoyCaption",
+            "JoyTag",
+            "LoadLlamaModel",
+            "Translate"
+        ],
+        {
+            "title_aux": "ComfyUI_NYJY"
+        }
+    ],
+    "https://github.com/aimerib/ComfyUI_HigherBitDepthSaveImage": [
+        [
+            "SaveImageHigherBitDepth"
+        ],
+        {
+            "title_aux": "ComfyUI-HigherBitDepthSaveImage"
+        }
+    ],
+    "https://github.com/aisabervisionlab/ComfyUI_merge_ASVL": [
+        [
+            "ASVL"
+        ],
+        {
+            "title_aux": "ComfyUI_merge_ASVL"
+        }
+    ],
+    "https://github.com/akatz-ai/ComfyUI-AKatz-Nodes": [
+        [
+            "AK_AdjustListSize",
+            "AK_AnimatedDilationMaskLinear",
+            "AK_AudioFramesyncSchedule",
+            "AK_AudioreactiveDilateMaskInfinite",
+            "AK_AudioreactiveDilationMask",
+            "AK_AudioreactiveDynamicDilationMask",
+            "AK_BinaryAmplitudeGate",
+            "AK_BrightnessToFloatList",
+            "AK_ConvertAudioToSaltAudio",
+            "AK_ConvertListToFloatList",
+            "AK_ConvertSaltAudioToAudio",
+            "AK_DilateMaskLinearInfinite",
+            "AK_FloatListToDilateMaskSchedule",
+            "AK_IPAdapterCustomWeights",
+            "AK_KeyframeScheduler",
+            "AK_LagChop",
+            "AK_ListToNumpyFloatArray",
+            "AK_NormalizeMaskImage",
+            "AK_RescaleFloatList",
+            "AK_ScheduledBinaryComparison",
+            "AK_ShrinkNumSequence",
+            "AK_VideoSpeedAdjust"
+        ],
+        {
+            "author": "akatz",
+            "description": "Custom node pack for nodes I use in my workflows.",
+            "nickname": "Akatz Custom Nodes",
+            "title": "Akatz Custom Nodes",
+            "title_aux": "Akatz Custom Nodes"
+        }
+    ],
+    "https://github.com/akierson/ComfyUI-textnodes": [
+        [
+            "Prompt Truncate",
+            "Tidy Tags"
+        ],
+        {
+            "title_aux": "ComfyUI-textnodes"
+        }
+    ],
+    "https://github.com/akierson/comfyui-colornodes": [
+        [
+            "Color Picker",
+            "Color to Hex",
+            "Color to RGB",
+            "Image Replace Color",
+            "Invert Color"
+        ],
+        {
+            "title_aux": "comfyui-colornodes"
+        }
+    ],
+    "https://github.com/al-swaiti/All-IN-ONE-style": [
+        [
+            "ComfyUIStyler",
+            "menus"
+        ],
+        {
+            "title_aux": "All-IN-ONE-style"
+        }
+    ],
+    "https://github.com/al-swaiti/ComfyUI-CascadeResolutions": [
+        [
+            "CascadeResolutions"
+        ],
+        {
+            "title_aux": "ComfyUI-CascadeResolutions"
+        }
+    ],
+    "https://github.com/al-swaiti/ComfyUI-OllamaGemini": [
+        [
+            "BRIA_RMBG",
+            "BRIA_RMBG_ModelLoader",
+            "ComfyUIStyler",
+            "ConvertRasterToVector",
+            "FLUXResolutions",
+            "GeminiAPI",
+            "OllamaAPI",
+            "Save text",
+            "SaveSVG",
+            "TextSplitByDelimiter",
+            "menus"
+        ],
+        {
+            "title_aux": "GeminiOllama ComfyUI Extension"
+        }
+    ],
+    "https://github.com/alanhuang67/ComfyUI-FAI-Node": [
+        [
+            "FAIDynamicMask",
+            "FAIScaleScheduler",
+            "FAI_Voronoi_Generator"
+        ],
+        {
+            "title_aux": "FAI-Node"
+        }
+    ],
+    "https://github.com/alessandrozonta/ComfyUI-CenterNode": [
+        [
+            "BBoxCrop"
+        ],
+        {
+            "title_aux": "Bounding Box Crop Node for ComfyUI"
+        }
+    ],
+    "https://github.com/alessandrozonta/ComfyUI-Layers": [
+        [
+            "LayersSaver - Save Layer",
+            "LayersSaver - Save Layer From Images"
+        ],
+        {
+            "title_aux": "Save Layers Node for ComfyUI"
+        }
+    ],
+    "https://github.com/alessandrozonta/ComfyUI-OpenPose": [
+        [
+            "OpenPose - Get poses"
+        ],
+        {
+            "author": "joe",
+            "title_aux": "OpenPose Node"
+        }
+    ],
+    "https://github.com/alexcong/ComfyUI_QwenVL": [
+        [
+            "Qwen2VL"
+        ],
+        {
+            "title_aux": "Qwen2-VL wrapper for ComfyUI"
+        }
+    ],
+    "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference": [
+        [
+            "HF_QuestionAnswer",
+            "Job_Caption",
+            "Joy_caption",
+            "Joy_caption_load"
+        ],
+        {
+            "author": "Alex Genovese",
+            "description": "Huggingface Api Serverless request",
+            "nickname": "alexgenovese",
+            "title": "Huggingface Api Serverless",
+            "title_aux": "Huggingface Api Serverless"
+        }
+    ],
+    "https://github.com/alexisrolland/ComfyUI-Phi": [
+        [
+            "DownloadAndLoadPhi",
+            "DownloadAndLoadPhiVision",
+            "RunPhi",
+            "RunPhiVision"
+        ],
+        {
+            "title_aux": "ComfyUI-Phi"
+        }
+    ],
+    "https://github.com/alexopus/ComfyUI-Image-Saver": [
+        [
+            "Cfg Literal (Image Saver)",
+            "Checkpoint Loader with Name (Image Saver)",
+            "Float Literal (Image Saver)",
+            "Image Saver",
+            "Int Literal (Image Saver)",
+            "Sampler Selector (Image Saver)",
+            "SamplerToString (Image Saver)",
+            "Scheduler Selector (Comfy) (Image Saver)",
+            "Scheduler Selector (Image Saver)",
+            "SchedulerComfyToString (Image Saver)",
+            "SchedulerToString (Image Saver)",
+            "Seed Generator (Image Saver)",
+            "String Literal (Image Saver)",
+            "Width/Height Literal (Image Saver)"
+        ],
+        {
+            "title_aux": "ComfyUI Image Saver"
+        }
+    ],
+    "https://github.com/alisson-anjos/ComfyUI-Ollama-Describer": [
+        [
+            "InputText",
+            "OllamaImageDescriber",
+            "OllamaTextDescriber",
+            "ShowText",
+            "TextTransformer"
+        ],
+        {
+            "title_aux": "ComfyUI-Ollama-Describer"
+        }
+    ],
+    "https://github.com/alpertunga-bile/image-caption-comfyui": [
+        [
+            "Image Caption Node",
+            "Insert Prompt Node"
+        ],
+        {
+            "title_aux": "image-caption-comfyui"
+        }
+    ],
+    "https://github.com/alpertunga-bile/prompt-generator-comfyui": [
+        [
+            "Prompt Generator"
+        ],
+        {
+            "title_aux": "prompt-generator"
+        }
+    ],
+    "https://github.com/alsritter/asymmetric-tiling-comfyui": [
+        [
+            "Asymmetric_Tiling_KSampler"
+        ],
+        {
+            "title_aux": "asymmetric-tiling-comfyui"
+        }
+    ],
+    "https://github.com/alt-key-project/comfyui-dream-project": [
+        [
+            "Analyze Palette [Dream]",
+            "Beat Curve [Dream]",
+            "Big Float Switch [Dream]",
+            "Big Image Switch [Dream]",
+            "Big Int Switch [Dream]",
+            "Big Latent Switch [Dream]",
+            "Big Palette Switch [Dream]",
+            "Big Text Switch [Dream]",
+            "Boolean To Float [Dream]",
+            "Boolean To Int [Dream]",
+            "Build Prompt [Dream]",
+            "CSV Curve [Dream]",
+            "CSV Generator [Dream]",
+            "Calculation [Dream]",
+            "Common Frame Dimensions [Dream]",
+            "Compare Palettes [Dream]",
+            "FFMPEG Video Encoder [Dream]",
+            "File Count [Dream]",
+            "Finalize Prompt [Dream]",
+            "Float Input [Dream]",
+            "Float to Log Entry [Dream]",
+            "Frame Count Calculator [Dream]",
+            "Frame Counter (Directory) [Dream]",
+            "Frame Counter (Simple) [Dream]",
+            "Frame Counter Info [Dream]",
+            "Frame Counter Offset [Dream]",
+            "Frame Counter Time Offset [Dream]",
+            "Image Brightness Adjustment [Dream]",
+            "Image Color Shift [Dream]",
+            "Image Contrast Adjustment [Dream]",
+            "Image Motion [Dream]",
+            "Image Sequence Blend [Dream]",
+            "Image Sequence Loader [Dream]",
+            "Image Sequence Saver [Dream]",
+            "Image Sequence Tweening [Dream]",
+            "Int Input [Dream]",
+            "Int to Log Entry [Dream]",
+            "Laboratory [Dream]",
+            "Linear Curve [Dream]",
+            "Log Entry Joiner [Dream]",
+            "Log File [Dream]",
+            "Noise from Area Palettes [Dream]",
+            "Noise from Palette [Dream]",
+            "Palette Color Align [Dream]",
+            "Palette Color Shift [Dream]",
+            "Sample Image Area as Palette [Dream]",
+            "Sample Image as Palette [Dream]",
+            "Saw Curve [Dream]",
+            "Sine Curve [Dream]",
+            "Smooth Event Curve [Dream]",
+            "String Input [Dream]",
+            "String Tokenizer [Dream]",
+            "String to Log Entry [Dream]",
+            "Text Input [Dream]",
+            "Triangle Curve [Dream]",
+            "Triangle Event Curve [Dream]",
+            "WAV Curve [Dream]"
+        ],
+        {
+            "title_aux": "Dream Project Animation Nodes"
+        }
+    ],
+    "https://github.com/alt-key-project/comfyui-dream-video-batches": [
+        [
+            "Blended Transition [DVB]",
+            "Calculation [DVB]",
+            "Create Frame Set [DVB]",
+            "Divide [DVB]",
+            "Fade From Black [DVB]",
+            "Fade To Black [DVB]",
+            "Float Input [DVB]",
+            "For Each Done [DVB]",
+            "For Each Filename [DVB]",
+            "Frame Set Append [DVB]",
+            "Frame Set Frame Dimensions Scaled [DVB]",
+            "Frame Set Index Offset [DVB]",
+            "Frame Set Merger [DVB]",
+            "Frame Set Reindex [DVB]",
+            "Frame Set Repeat [DVB]",
+            "Frame Set Reverse [DVB]",
+            "Frame Set Split Beginning [DVB]",
+            "Frame Set Split End [DVB]",
+            "Frame Set Splitter [DVB]",
+            "Generate Inbetween Frames [DVB]",
+            "Int Input [DVB]",
+            "Linear Camera Pan [DVB]",
+            "Linear Camera Roll [DVB]",
+            "Linear Camera Zoom [DVB]",
+            "Load Image From Path [DVB]",
+            "Multiply [DVB]",
+            "Sine Camera Pan [DVB]",
+            "Sine Camera Roll [DVB]",
+            "Sine Camera Zoom [DVB]",
+            "String Input [DVB]",
+            "Text Input [DVB]",
+            "Trace Memory Allocation [DVB]",
+            "Unwrap Frame Set [DVB]"
+        ],
+        {
+            "title_aux": "Dream Video Batches"
+        }
+    ],
+    "https://github.com/an90ray/ComfyUI_RErouter_CustomNodes": [
+        [
+            "CLIPTextEncode (RE)",
+            "CLIPTextEncodeSDXL (RE)",
+            "CLIPTextEncodeSDXLRefiner (RE)",
+            "Int (RE)",
+            "RErouter <=",
+            "RErouter =>",
+            "String (RE)"
+        ],
+        {
+            "title_aux": "ComfyUI_RErouter_CustomNodes"
+        }
+    ],
+    "https://github.com/andersxa/comfyui-PromptAttention": [
+        [
+            "CLIPAttentionMaskEncode"
+        ],
+        {
+            "title_aux": "CLIP Directional Prompt Attention"
+        }
+    ],
+    "https://github.com/angeloshredder/StableCascadeResizer": [
+        [
+            "CascadeResize"
+        ],
+        {
+            "title_aux": "StableCascadeResizer"
+        }
+    ],
+    "https://github.com/anhkhoatranle30/Handy-Nodes-ComfyUI": [
+        [
+            "Custom Save Image //Handy"
+        ],
+        {
+            "author": "Khoa Tran",
+            "description": "This extension offers various handy nodes.",
+            "nickname": "Handy-Nodes-ComfyUI",
+            "title": "Handy-Nodes-ComfyUI",
+            "title_aux": "Handy Node ComfyUI"
+        }
+    ],
+    "https://github.com/ansonkao/comfyui-geometry": [
+        [
+            "TransformTemplateOntoFaceMask"
+        ],
+        {
+            "author": "Anson Kao",
+            "description": "A small collection of custom nodes for use with ComfyUI, by Discopixel",
+            "nickname": "ComfyUI Discopixel",
+            "title": "ComfyUI Discopixel",
+            "title_aux": "comfyui-geometry"
+        }
+    ],
+    "https://github.com/antrobot1234/antrobots-comfyUI-nodepack": [
+        [
+            "composite",
+            "crop",
+            "paste",
+            "preview_mask",
+            "scale"
+        ],
+        {
+            "title_aux": "antrobots ComfyUI Nodepack"
+        }
+    ],
+    "https://github.com/asagi4/ComfyUI-Adaptive-Guidance": [
+        [
+            "AdaptiveGuidance",
+            "PerpNegAdaptiveGuidanceGuider"
+        ],
+        {
+            "title_aux": "Adaptive Guidance for ComfyUI"
+        }
+    ],
+    "https://github.com/asagi4/ComfyUI-CADS": [
+        [
+            "CADS"
+        ],
+        {
+            "title_aux": "ComfyUI-CADS"
+        }
+    ],
+    "https://github.com/asagi4/comfyui-prompt-control": [
+        [
+            "EditableCLIPEncode",
+            "FilterSchedule",
+            "LoRAScheduler",
+            "PCApplySettings",
+            "PCPromptFromSchedule",
+            "PCScheduleAddMasks",
+            "PCScheduleSettings",
+            "PCSplitSampling",
+            "PCWrapGuider",
+            "PromptControlSimple",
+            "PromptToSchedule",
+            "ScheduleToCond",
+            "ScheduleToModel"
+        ],
+        {
+            "title_aux": "ComfyUI prompt control"
+        }
+    ],
+    "https://github.com/asagi4/comfyui-utility-nodes": [
+        [
+            "MUForceCacheClear",
+            "MUJinjaRender",
+            "MUReplaceModelWeights",
+            "MUSimpleWildcard"
+        ],
+        {
+            "title_aux": "asagi4/comfyui-utility-nodes"
+        }
+    ],
+    "https://github.com/aszc-dev/ComfyUI-CoreMLSuite": [
+        [
+            "Core ML Converter",
+            "Core ML LCM Converter",
+            "Core ML LoRA Loader",
+            "CoreMLModelAdapter",
+            "CoreMLSampler",
+            "CoreMLSamplerAdvanced",
+            "CoreMLUNetLoader"
+        ],
+        {
+            "title_aux": "Core ML Suite for ComfyUI"
+        }
+    ],
+    "https://github.com/audioscavenger/ComfyUI-Thumbnails": [
+        [
+            "LoadImageThumbnails"
+        ],
+        {
+            "author": "AudioscavengeR",
+            "description": "Load Image thumbnails and show input subfolders.",
+            "nickname": "ComfyUI Thumbnails",
+            "title": "ComfyUI Thumbnails",
+            "title_aux": "ComfyUI Thumbnails"
+        }
+    ],
+    "https://github.com/audioscavenger/save-image-extended-comfyui": [
+        [
+            "SaveImageExtended"
+        ],
+        {
+            "title_aux": "Save Image Extended for ComfyUI"
+        }
+    ],
+    "https://github.com/avatechai/avatar-graph-comfyui": [
+        [
+            "ApplyMeshTransformAsShapeKey",
+            "B_ENUM",
+            "B_VECTOR3",
+            "B_VECTOR4",
+            "Combine Points",
+            "CreateShapeFlow",
+            "ExportBlendshapes",
+            "ExportGLTF",
+            "Extract Boundary Points",
+            "Image Alpha Mask Merge",
+            "ImageBridge",
+            "LoadImageFromRequest",
+            "LoadImageWithAlpha",
+            "LoadValueFromRequest",
+            "SAM MultiLayer",
+            "Save Image With Workflow"
+        ],
+        {
+            "author": "Avatech Limited",
+            "description": "Include nodes for sam + bpy operation, that allows workflow creations for generative 2d character rig.",
+            "nickname": "Avatar Graph",
+            "title": "Avatar Graph",
+            "title_aux": "Avatar Graph"
+        }
+    ],
+    "https://github.com/aws-samples/comfyui-llm-node-for-amazon-bedrock": [
+        [
+            "Bedrock - Claude",
+            "Bedrock - Claude Multimodal",
+            "Bedrock - SDXL",
+            "Bedrock - Titan Inpainting",
+            "Bedrock - Titan Outpainting",
+            "Bedrock - Titan Text to Image",
+            "Bedrock - Titan Variation",
+            "Image From S3",
+            "Image From URL",
+            "Image To S3",
+            "JSON Text Extraction",
+            "Prompt Regex Remove",
+            "Prompt Template",
+            "Prompt Template with Two Inputs"
+        ],
+        {
+            "title_aux": "Amazon Bedrock nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/azure-dragon-ai/ComfyUI-ClipScore-Nodes": [
+        [
+            "HaojihuiClipScoreFakeImageProcessor",
+            "HaojihuiClipScoreImageProcessor",
+            "HaojihuiClipScoreImageScore",
+            "HaojihuiClipScoreLoader",
+            "HaojihuiClipScoreRealImageProcessor",
+            "HaojihuiClipScoreTextProcessor"
+        ],
+        {
+            "title_aux": "ComfyUI-ClipScore-Nodes"
+        }
+    ],
+    "https://github.com/badayvedat/ComfyUI-fal-Connector": [
+        [
+            "RemoteCheckpointLoader_fal",
+            "RemoteLoraLoader_fal"
+        ],
+        {
+            "title_aux": "ComfyUI-fal-Connector"
+        }
+    ],
+    "https://github.com/badjeff/comfyui_lora_tag_loader": [
+        [
+            "LoraTagLoader"
+        ],
+        {
+            "title_aux": "LoRA Tag Loader for ComfyUI"
+        }
+    ],
+    "https://github.com/baicai99/ComfyUI-FrameSkipping": [
+        [
+            "FrameSelector",
+            "FrameSkipping",
+            "FrameTruncating",
+            "IntOperationsNode",
+            "MaskFrameSkipping",
+            "MaskGenerator",
+            "MaskSelector"
+        ],
+        {
+            "title_aux": "ComfyUI-FrameSkipping"
+        }
+    ],
+    "https://github.com/bananasss00/ComfyUI-SP-Nodes": [
+        [
+            "BoolSwitchOutStr",
+            "CivitaiPrompts",
+            "ComfyuiRuntimeArgs",
+            "FaceScatter",
+            "FaceScatter2",
+            "FluxInspireLbw_Batch",
+            "FluxInspireLbw_BlockVectorPreset",
+            "GodnessMerger_Apply",
+            "GodnessMerger_InputBlocks",
+            "GodnessMerger_InputBlocksExperimental",
+            "GodnessMerger_LabelEmb",
+            "GodnessMerger_MiddleBlock",
+            "GodnessMerger_MiddleBlockExperimental",
+            "GodnessMerger_NoiseInjection",
+            "GodnessMerger_Out",
+            "GodnessMerger_OutputBlocks",
+            "GodnessMerger_OutputBlocksExperimental",
+            "GodnessMerger_RAW_Apply",
+            "GodnessMerger_TimeEmbed",
+            "ImageMonitor",
+            "ImgMetaValueExtractor",
+            "LoraLoaderByPath",
+            "LoraLoaderFromFolder",
+            "LoraLoaderOnlyModelByPath",
+            "PreviewImageWEBP",
+            "PromptChecker",
+            "RandomPromptFromBook",
+            "Random_Model_Merge",
+            "SD3BlocksMultiply",
+            "SD3Multiply",
+            "SP-CheckpointSave",
+            "SP-UnetSave",
+            "SP_FluxFastMergePatchFP8 [Experimental]",
+            "SP_KoboldCpp",
+            "SP_KoboldCppWithContext",
+            "SP_WebsocketSendImage",
+            "ScatterParams",
+            "ScatterParamsBatch",
+            "SendTelegramChatBot",
+            "StrToCombo",
+            "TextSplitJoinByDelimiter"
+        ],
+        {
+            "author": "SeniorPioner",
+            "description": "Node Pack: PromptChecker for token toggling, KoboldCPP API, ModelMerging, Telegram-Bot-API, and more",
+            "nickname": "SP-Nodes",
+            "title": "SP-Nodes",
+            "title_aux": "SP-Nodes"
+        }
+    ],
+    "https://github.com/banodoco/steerable-motion": [
+        [
+            "BatchCreativeInterpolation",
+            "IpaConfiguration",
+            "RemoveAndInterpolateFrames"
+        ],
+        {
+            "title_aux": "Steerable Motion"
+        }
+    ],
+    "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/node_text_to_speech.py": [
+        [
+            "TextToSpeech"
+        ],
+        {
+            "title_aux": "comfyUI_DaVinciResolve"
+        }
+    ],
+    "https://github.com/bash-j/mikey_nodes": [
+        [
+            "AddMetaData",
+            "Batch Crop Image",
+            "Batch Crop Resize Inplace",
+            "Batch Load Images",
+            "Batch Resize Image for SDXL",
+            "Checkpoint Loader Simple Mikey",
+            "CheckpointHash",
+            "CheckpointSaveModelOnly",
+            "CinematicLook",
+            "Empty Latent Ratio Custom SDXL",
+            "Empty Latent Ratio Select SDXL",
+            "EvalFloats",
+            "FaceFixerOpenCV",
+            "FileNamePrefix",
+            "FileNamePrefixDateDirFirst",
+            "Float to String",
+            "GetSubdirectories",
+            "HaldCLUT",
+            "Image Caption",
+            "ImageBorder",
+            "ImageOverlay",
+            "ImagePaste",
+            "Int to String",
+            "LMStudioPrompt",
+            "Load Image Based on Number",
+            "LoraSyntaxProcessor",
+            "Mikey Sampler",
+            "Mikey Sampler Base Only",
+            "Mikey Sampler Base Only Advanced",
+            "Mikey Sampler Tiled",
+            "Mikey Sampler Tiled Base Only",
+            "MikeyLatentTileSampler",
+            "MikeyLatentTileSamplerCustom",
+            "MikeySamplerTiledAdvanced",
+            "MikeySamplerTiledAdvancedBaseOnly",
+            "ModelMergePixArtSigmaXL2_1024MS",
+            "ModelMergeTrainDiff",
+            "ModelMergeTrainDiffPixartSigmaXL2_1024MS",
+            "MosaicExpandImage",
+            "OobaPrompt",
+            "PresetRatioSelector",
+            "Prompt With SDXL",
+            "Prompt With Style",
+            "Prompt With Style V2",
+            "Prompt With Style V3",
+            "Range Float",
+            "Range Integer",
+            "Ratio Advanced",
+            "Resize Image for SDXL",
+            "SD3TextConditioningWithOptionsOnePrompt",
+            "SRFloatPromptInput",
+            "SRIntPromptInput",
+            "SRStringPromptInput",
+            "Save Image If True",
+            "Save Image With Prompt Data",
+            "Save Images Mikey",
+            "Save Images No Display",
+            "SaveMetaData",
+            "SearchAndReplace",
+            "Seed String",
+            "Style Conditioner",
+            "Style Conditioner Base Only",
+            "Text2InputOr3rdOption",
+            "TextCombinations",
+            "TextCombinations3",
+            "TextConcat",
+            "TextPadderMikey",
+            "TextPreserve",
+            "Upscale Tile Calculator",
+            "Wildcard Processor",
+            "WildcardAndLoraSyntaxProcessor",
+            "WildcardOobaPrompt"
+        ],
+        {
+            "title_aux": "Mikey Nodes"
+        }
+    ],
+    "https://github.com/bedovyy/ComfyUI_NAIDGenerator": [
+        [
+            "ColorizeNAID",
+            "DeclutterNAID",
+            "EmotionNAID",
+            "GenerateNAID",
+            "Img2ImgOptionNAID",
+            "InpaintingOptionNAID",
+            "LineArtNAID",
+            "MaskImageToNAID",
+            "ModelOptionNAID",
+            "NetworkOptionNAID",
+            "PromptToNAID",
+            "RemoveBGNAID",
+            "SketchNAID",
+            "VibeTransferOptionNAID"
+        ],
+        {
+            "title_aux": "ComfyUI_NAIDGenerator"
+        }
+    ],
+    "https://github.com/bilal-arikan/ComfyUI_TextAssets": [
+        [
+            "LoadTextAsset"
+        ],
+        {
+            "title_aux": "ComfyUI_TextAssets"
+        }
+    ],
+    "https://github.com/bitaffinity/ComfyUI_HF_Inference": [
+        [
+            "Classification",
+            "FeatureExtraction",
+            "Generation",
+            "ObjectDetection",
+            "QuestionAnswering",
+            "Segmentation",
+            "TextToImage",
+            "Translation"
+        ],
+        {
+            "title_aux": "ComfyUI_HF_Inference"
+        }
+    ],
+    "https://github.com/bkunbargi/BrevImage/raw/main/BrevLoadImage.py": [
+        [
+            "BrevImage"
+        ],
+        {
+            "title_aux": "BrevImage"
+        }
+    ],
+    "https://github.com/blackcodetavern/ComfyUI-Benripack": [
+        [
+            "AnimationExtractor",
+            "CharacterPipe",
+            "Load3DModel"
+        ],
+        {
+            "title_aux": "ComfyUI-Benripack"
+        }
+    ],
+    "https://github.com/blepping/ComfyUI-bleh": [
+        [
+            "BlehBlockOps",
+            "BlehDeepShrink",
+            "BlehDisableNoise",
+            "BlehDiscardPenultimateSigma",
+            "BlehForceSeedSampler",
+            "BlehHyperTile",
+            "BlehInsaneChainSampler",
+            "BlehLatentOps",
+            "BlehLatentScaleBy",
+            "BlehModelPatchConditional",
+            "BlehPlug",
+            "BlehRefinerAfter"
+        ],
+        {
+            "title_aux": "ComfyUI-bleh"
+        }
+    ],
+    "https://github.com/blepping/ComfyUI-sonar": [
+        [
+            "NoisyLatentLike",
+            "SONAR_CUSTOM_NOISE to NOISE",
+            "SamplerConfigOverride",
+            "SamplerSonarDPMPPSDE",
+            "SamplerSonarEuler",
+            "SamplerSonarEulerA",
+            "SonarAdvancedPyramidNoise",
+            "SonarCompositeNoise",
+            "SonarCustomNoise",
+            "SonarGuidanceConfig",
+            "SonarGuidedNoise",
+            "SonarModulatedNoise",
+            "SonarRandomNoise",
+            "SonarRepeatedNoise",
+            "SonarScheduledNoise"
+        ],
+        {
+            "title_aux": "ComfyUI-sonar"
+        }
+    ],
+    "https://github.com/blepping/comfyui_jankhidiffusion": [
+        [
+            "ApplyMSWMSAAttention",
+            "ApplyMSWMSAAttentionSimple",
+            "ApplyRAUNet",
+            "ApplyRAUNetSimple"
+        ],
+        {
+            "title_aux": "comfyui_jankhidiffusion"
+        }
+    ],
+    "https://github.com/blepping/comfyui_overly_complicated_sampling": [
+        [
+            "OCS Group",
+            "OCS ModelSetMaxSigma",
+            "OCS MultiParam",
+            "OCS Param",
+            "OCS Sampler",
+            "OCS SimpleRestartSchedule",
+            "OCS Substeps",
+            "OCSNoise PerlinAdvanced",
+            "OCSNoise PerlinSimple",
+            "OCSNoise to SONAR_CUSTOM_NOISE"
+        ],
+        {
+            "title_aux": "comfyui_overly_complicated_sampling"
+        }
+    ],
+    "https://github.com/blueraincoatli/comfyUI_SillyNodes": [
+        [
+            "BooleanJumper|SillyNode",
+            "QueueSequence|SillyNode",
+            "Screenshots|SillyNode",
+            "dummyInput|SillyNode",
+            "dummyInput|blueraincoat"
+        ],
+        {
+            "title_aux": "comfyUI_SillyNodes"
+        }
+    ],
+    "https://github.com/bluevisor/ComfyUI_PS_Blend_Node": [
+        [
+            "PSBlendNode"
+        ],
+        {
+            "title_aux": "ComfyUI_PS_Blend_Node"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_ab_samplercustom": [
+        [
+            "AB SamplerCustom (experimental)"
+        ],
+        {
+            "title_aux": "comfyui_ab_sampler"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_bmad_nodes": [
+        [
+            "AdaptiveThresholding",
+            "Add String To Many",
+            "AddAlpha",
+            "AdjustRect",
+            "AnyToAny",
+            "BoundingRect (contours)",
+            "BuildColorRangeAdvanced (hsv)",
+            "BuildColorRangeHSV (hsv)",
+            "CLAHE",
+            "CLIPEncodeMultiple",
+            "CLIPEncodeMultipleAdvanced",
+            "ChameleonMask",
+            "CheckpointLoader (dirty)",
+            "CheckpointLoaderSimple (dirty)",
+            "Color (RGB)",
+            "Color (hexadecimal)",
+            "Color Clip",
+            "Color Clip (advanced)",
+            "Color Clip ADE20k",
+            "ColorDictionary",
+            "ColorDictionary (custom)",
+            "Conditioning (combine multiple)",
+            "Conditioning (combine selective)",
+            "Conditioning Grid (cond)",
+            "Conditioning Grid (string)",
+            "Conditioning Grid (string) Advanced",
+            "Contour To Mask",
+            "Contours",
+            "ControlNetHadamard",
+            "ControlNetHadamard (manual)",
+            "ConvertImg",
+            "CopyMakeBorder",
+            "CreateRequestMetadata",
+            "DistanceTransform",
+            "Draw Contour(s)",
+            "EqualizeHistogram",
+            "ExtendColorList",
+            "ExtendCondList",
+            "ExtendFloatList",
+            "ExtendImageList",
+            "ExtendIntList",
+            "ExtendLatentList",
+            "ExtendMaskList",
+            "ExtendModelList",
+            "ExtendStringList",
+            "FadeMaskEdges",
+            "Filter Contour",
+            "FindComplementaryColor",
+            "FindThreshold",
+            "FlatLatentsIntoSingleGrid",
+            "Framed Mask Grab Cut",
+            "Framed Mask Grab Cut 2",
+            "FromListGet1Color",
+            "FromListGet1Cond",
+            "FromListGet1Float",
+            "FromListGet1Image",
+            "FromListGet1Int",
+            "FromListGet1Latent",
+            "FromListGet1Mask",
+            "FromListGet1Model",
+            "FromListGet1String",
+            "FromListGetColors",
+            "FromListGetConds",
+            "FromListGetFloats",
+            "FromListGetImages",
+            "FromListGetInts",
+            "FromListGetLatents",
+            "FromListGetMasks",
+            "FromListGetModels",
+            "FromListGetStrings",
+            "Get Contour from list",
+            "Get Models",
+            "Get Prompt",
+            "Hue Mode (InRange hsv)",
+            "HypernetworkLoader (dirty)",
+            "ImageBatchToList",
+            "InRange (hsv)",
+            "Inpaint",
+            "Input/String to Int Array",
+            "KMeansColor",
+            "Load 64 Encoded Image",
+            "LoraLoader (dirty)",
+            "MaskGrid N KSamplers Advanced",
+            "MaskOuterBlur",
+            "Merge Latent Batch Gridwise",
+            "MonoMerge",
+            "MorphologicOperation",
+            "MorphologicSkeletoning",
+            "NaiveAutoKMeansColor",
+            "OtsuThreshold",
+            "RGB to HSV",
+            "Rect Grab Cut",
+            "Remap",
+            "RemapBarrelDistortion",
+            "RemapFromInsideParabolas",
+            "RemapFromQuadrilateral (homography)",
+            "RemapInsideParabolas",
+            "RemapInsideParabolasAdvanced",
+            "RemapPinch",
+            "RemapReverseBarrelDistortion",
+            "RemapStretch",
+            "RemapToInnerCylinder",
+            "RemapToOuterCylinder",
+            "RemapToQuadrilateral",
+            "RemapWarpPolar",
+            "Repeat Into Grid (image)",
+            "Repeat Into Grid (latent)",
+            "RequestInputs",
+            "SampleColorHSV",
+            "Save Image (api)",
+            "SeamlessClone",
+            "SeamlessClone (simple)",
+            "SetRequestStateToComplete",
+            "String",
+            "String to Float",
+            "String to Integer",
+            "ToColorList",
+            "ToCondList",
+            "ToFloatList",
+            "ToImageList",
+            "ToIntList",
+            "ToLatentList",
+            "ToMaskList",
+            "ToModelList",
+            "ToStringList",
+            "UnGridify (image)",
+            "VAEEncodeBatch"
+        ],
+        {
+            "title_aux": "Bmad Nodes"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_lists_cartesian_product": [
+        [
+            "AnyListCartesianProduct"
+        ],
+        {
+            "title_aux": "Lists Cartesian Product"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_quilting": [
+        [
+            "GuessQuiltingBlockSize_Bmad",
+            "ImageQuiltingSeamlessMB_Bmad",
+            "ImageQuiltingSeamlessSB_Bmad",
+            "ImageQuilting_Bmad",
+            "LatentQuiltingSeamlessMB_Bmad",
+            "LatentQuiltingSeamlessSB_Bmad",
+            "LatentQuilting_Bmad"
+        ],
+        {
+            "title_aux": "comfyui_quilting"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_wfc_like": [
+        [
+            "WFC_CustomTemperature_Bmad",
+            "WFC_CustomValueWeights_Bmad",
+            "WFC_Decode_BMad",
+            "WFC_EmptyState_Bmad",
+            "WFC_Encode_BMad",
+            "WFC_Filter_Bmad",
+            "WFC_GenParallel_Bmad",
+            "WFC_Generate_BMad",
+            "WFC_SampleNode_BMad"
+        ],
+        {
+            "title_aux": "comfyui_wfc_like"
+        }
+    ],
+    "https://github.com/bobmagicii/comfykit-custom-nodes": [
+        [
+            "LoraStackFiveSimple",
+            "LoraThree",
+            "LoraWithMeta",
+            "TypecasterClip",
+            "TypecasterCond",
+            "TypecasterImage",
+            "TypecasterLatent",
+            "TypecasterModel",
+            "TypecasterVae"
+        ],
+        {
+            "title_aux": "ComfyKit Custom Nodes"
+        }
+    ],
+    "https://github.com/boredofnames/ComfyUI-ntfy": [
+        [
+            "Ntfy",
+            "SaveImageAndNtfy"
+        ],
+        {
+            "title_aux": "ComfyUI-ntfy"
+        }
+    ],
+    "https://github.com/bradsec/ComfyUI_ResolutionSelector": [
+        [
+            "ResolutionSelector"
+        ],
+        {
+            "title_aux": "ResolutionSelector for ComfyUI"
+        }
+    ],
+    "https://github.com/braintacles/braintacles-comfyui-nodes": [
+        [
+            "CLIPTextEncodeSDXL-Multi-IO",
+            "CLIPTextEncodeSDXL-Pipe",
+            "Empty Latent Image from Aspect-Ratio",
+            "Interval Sampler",
+            "Random Find and Replace"
+        ],
+        {
+            "title_aux": "braintacles-nodes"
+        }
+    ],
+    "https://github.com/brianfitzgerald/style_aligned_comfy": [
+        [
+            "StyleAlignedBatchAlign",
+            "StyleAlignedReferenceSampler",
+            "StyleAlignedSampleReferenceLatents"
+        ],
+        {
+            "title_aux": "StyleAligned for ComfyUI"
+        }
+    ],
+    "https://github.com/bronkula/comfyui-fitsize": [
+        [
+            "FS: Crop Image Into Even Pieces",
+            "FS: Fit Image And Resize",
+            "FS: Fit Size From Image",
+            "FS: Fit Size From Int",
+            "FS: Image Region To Mask",
+            "FS: Load Image And Resize To Fit",
+            "FS: Pick Image From Batch",
+            "FS: Pick Image From Batches",
+            "FS: Pick Image From List"
+        ],
+        {
+            "title_aux": "comfyui-fitsize"
+        }
+    ],
+    "https://github.com/bruefire/ComfyUI-SeqImageLoader": [
+        [
+            "VFrame Loader With Mask Editor",
+            "Video Loader With Mask Editor"
+        ],
+        {
+            "title_aux": "ComfyUI Sequential Image Loader"
+        }
+    ],
+    "https://github.com/budihartono/comfyui_otonx_nodes": [
+        [
+            "OTX Integer Multiple Inputs 4",
+            "OTX Integer Multiple Inputs 5",
+            "OTX Integer Multiple Inputs 6",
+            "OTX KSampler Feeder",
+            "OTX Versatile Multiple Inputs 4",
+            "OTX Versatile Multiple Inputs 5",
+            "OTX Versatile Multiple Inputs 6"
+        ],
+        {
+            "title_aux": "Otonx's Custom Nodes"
+        }
+    ],
+    "https://github.com/bvhari/ComfyUI_ImageProcessing": [
+        [
+            "BilateralFilter",
+            "Brightness",
+            "Gamma",
+            "Hue",
+            "Saturation",
+            "SigmoidCorrection",
+            "UnsharpMask"
+        ],
+        {
+            "title_aux": "ImageProcessing"
+        }
+    ],
+    "https://github.com/bvhari/ComfyUI_PerpWeight": [
+        [
+            "CLIPTextEncodePerpWeight"
+        ],
+        {
+            "title_aux": "ComfyUI_PerpWeight"
+        }
+    ],
+    "https://github.com/bvhari/ComfyUI_SUNoise": [
+        [
+            "SUNoiseLatent",
+            "SamplersSUNoise",
+            "SamplersSUNoiseAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI_SUNoise"
+        }
+    ],
+    "https://github.com/caleboleary/ComfyUI-Arc2Face": [
+        [
+            "Arc2FaceEncoderLoader",
+            "Arc2FaceFaceExtractor",
+            "Arc2FaceGenerator",
+            "Arc2FaceImageGridGenerator",
+            "Arc2FaceImg2ImgGenerator",
+            "Arc2FaceUNetLoader"
+        ],
+        {
+            "title_aux": "Arc2Face ComfyUI Node Library"
+        }
+    ],
+    "https://github.com/camenduru/ComfyUI-TostAI": [
+        [
+            "SendToTostAI"
+        ],
+        {
+            "title_aux": "ComfyUI-TostAI"
+        }
+    ],
+    "https://github.com/catscandrive/comfyui-imagesubfolders/raw/main/loadImageWithSubfolders.py": [
+        [
+            "LoadImagewithSubfolders"
+        ],
+        {
+            "title_aux": "Image loader with subfolders"
+        }
+    ],
+    "https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life": [
+        [
+            "BOPBTL_BlendFaces",
+            "BOPBTL_DetectEnhanceBlendFaces",
+            "BOPBTL_DetectFaces",
+            "BOPBTL_EnhanceFaces",
+            "BOPBTL_EnhanceFacesAdvanced",
+            "BOPBTL_LoadFaceDetectorModel",
+            "BOPBTL_LoadFaceEnhancerModel",
+            "BOPBTL_LoadRestoreOldPhotosModel",
+            "BOPBTL_LoadScratchMaskModel",
+            "BOPBTL_RestoreOldPhotos",
+            "BOPBTL_ScratchMask"
+        ],
+        {
+            "title_aux": "ComfyUI Bringing Old Photos Back to Life"
+        }
+    ],
+    "https://github.com/cdb-boop/comfyui-image-round": [
+        [
+            "ComfyUI_Image_Round__ImageCropAdvanced",
+            "ComfyUI_Image_Round__ImageRound",
+            "ComfyUI_Image_Round__ImageRoundAdvanced"
+        ],
+        {
+            "title_aux": "comfyui-image-round"
+        }
+    ],
+    "https://github.com/cdxOo/comfyui-text-node-with-comments": [
+        [
+            "text-node-with-comments"
+        ],
+        {
+            "title_aux": "Text Node With Comments (@cdxoo)"
+        }
+    ],
+    "https://github.com/celoron/ComfyUI-VisualQueryTemplate": [
+        [
+            "VisualQueryTemplateNode"
+        ],
+        {
+            "title_aux": "ComfyUI-VisualQueryTemplate"
+        }
+    ],
+    "https://github.com/celsojr2013/comfyui_jamworks_client": [
+        [
+            "Jamworks_Download",
+            "Jamworks_Login",
+            "Shell_Command"
+        ],
+        {
+            "title_aux": "comfyui_jamworks_client"
+        }
+    ],
+    "https://github.com/celsojr2013/comfyui_simpletools": [
+        [
+            "GoogleTranslator",
+            "Parameters",
+            "ResolutionSolver"
+        ],
+        {
+            "title_aux": "ComfyUI SimpleTools Suit"
+        }
+    ],
+    "https://github.com/cerspense/ComfyUI_cspnodes": [
+        [
+            "DepthToNormalMap",
+            "ImageDirIterator",
+            "IncrementEveryN",
+            "Modelscopet2v",
+            "Modelscopev2v",
+            "RemapRange",
+            "ResizeByImage",
+            "SplitImageChannels",
+            "TextFileLineIterator",
+            "VidDirIterator"
+        ],
+        {
+            "title_aux": "cspnodes"
+        }
+    ],
+    "https://github.com/ceruleandeep/ComfyUI-LLaVA-Captioner": [
+        [
+            "LlavaCaptioner"
+        ],
+        {
+            "title_aux": "ComfyUI LLaVA Captioner"
+        }
+    ],
+    "https://github.com/chakib-belgaid/ComfyUI-autosize": [
+        [
+            "CustomAutoSize",
+            "SDXLAutoSize"
+        ],
+        {
+            "title_aux": "ComfyUI-autosize"
+        }
+    ],
+    "https://github.com/chakib-belgaid/Comfyui_Prompt_styler": [
+        [
+            "Prompt_Styler"
+        ],
+        {
+            "title_aux": "ComfyUI Style Plugin"
+        }
+    ],
+    "https://github.com/chandlergis/ComfyUI-IMG_Query": [
+        [
+            "ImageRequestNode"
+        ],
+        {
+            "title_aux": "ComfyUI-IMG_Query"
+        }
+    ],
+    "https://github.com/chandlergis/ComfyUI_EmojiOverlay": [
+        [
+            "Image Emoji Overlay"
+        ],
+        {
+            "title_aux": "ComfyUI_EmojiOverlay"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-AniPortrait": [
+        [
+            "AniPortraitLoader",
+            "AniPortraitRun",
+            "Box2Video",
+            "CoverVideo",
+            "MaskList2Video"
+        ],
+        {
+            "title_aux": "ComfyUI-AniPortrait"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper": [
+        [
+            "CameraBasic",
+            "CameraCombine",
+            "CameraCtrlLoader",
+            "CameraCtrlRun",
+            "CameraJoin",
+            "CameraTrajectory"
+        ],
+        {
+            "title_aux": "ComfyUI-CameraCtrl-Wrapper"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Champ": [
+        [
+            "ChampLoader",
+            "ChampRun",
+            "ImageCombineOneColumn",
+            "ImageCombineOneRow"
+        ],
+        {
+            "title_aux": "ComfyUI-Champ"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-DragAnything": [
+        [
+            "DragAnythingLoader",
+            "DragAnythingPipelineRun",
+            "DragAnythingPipelineRunRandom",
+            "DragAnythingRun",
+            "DragAnythingRunRandom",
+            "LoadText",
+            "SaveText",
+            "VHS_FILENAMES_STRING"
+        ],
+        {
+            "title_aux": "ComfyUI-DragAnything"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-DragNUWA": [
+        [
+            "BrushMotion",
+            "CompositeMotionBrush",
+            "CompositeMotionBrushWithoutModel",
+            "DragNUWA Run",
+            "DragNUWA Run MotionBrush",
+            "Get First Image",
+            "Get Last Image",
+            "InstantCameraMotionBrush",
+            "InstantObjectMotionBrush",
+            "Load CheckPoint DragNUWA",
+            "Load MotionBrush From Optical Flow",
+            "Load MotionBrush From Optical Flow Directory",
+            "Load MotionBrush From Optical Flow Without Model",
+            "Load MotionBrush From Tracking Points",
+            "Load MotionBrush From Tracking Points Without Model",
+            "Load Pose KeyPoints",
+            "Loop",
+            "LoopEnd_IMAGE",
+            "LoopStart_IMAGE",
+            "Split Tracking Points"
+        ],
+        {
+            "title_aux": "ComfyUI-DragNUWA"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-DynamiCrafter": [
+        [
+            "DynamiCrafter Simple",
+            "DynamiCrafterInterp Simple",
+            "DynamiCrafterInterpLoader",
+            "DynamiCrafterLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-DynamiCrafter"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-EasyAnimate": [
+        [
+            "EasyAnimateLoader",
+            "EasyAnimateRun"
+        ],
+        {
+            "title_aux": "ComfyUI-EasyAnimate"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Gemma": [
+        [
+            "GemmaLoader",
+            "GemmaRun"
+        ],
+        {
+            "title_aux": "ComfyUI-Gemma"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-I2VGEN-XL": [
+        [
+            "I2VGEN-XL Simple",
+            "Modelscope Pipeline Loader"
+        ],
+        {
+            "title_aux": "ComfyUI-I2VGEN-XL"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Img2Img-Turbo": [
+        [
+            "Img2ImgTurboEdgeLoader",
+            "Img2ImgTurboEdgeRun",
+            "Img2ImgTurboSketchLoader",
+            "Img2ImgTurboSketchRun"
+        ],
+        {
+            "title_aux": "ComfyUI-Img2Img-Turbo"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-LaVIT": [
+        [
+            "VHS_FILENAMES_STRING_LaVIT",
+            "VideoLaVITI2I",
+            "VideoLaVITI2V",
+            "VideoLaVITI2VLong",
+            "VideoLaVITLoader",
+            "VideoLaVITT2V",
+            "VideoLaVITT2VLong",
+            "VideoLaVITUnderstandingImage",
+            "VideoLaVITUnderstandingLoader",
+            "VideoLaVITUnderstandingVideo",
+            "VideoLaVITVideoDetokenizerLoader",
+            "VideoLaVITVideoReconstruction"
+        ],
+        {
+            "title_aux": "ComfyUI-LaVIT"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-LightGlue": [
+        [
+            "LightGlue Loader",
+            "LightGlue Simple",
+            "LightGlue Simple Multi"
+        ],
+        {
+            "title_aux": "ComfyUI-LightGlue"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Moore-AnimateAnyone": [
+        [
+            "Moore-AnimateAnyone Denoising Unet",
+            "Moore-AnimateAnyone Image Encoder",
+            "Moore-AnimateAnyone Pipeline Loader",
+            "Moore-AnimateAnyone Pose Guider",
+            "Moore-AnimateAnyone Reference Unet",
+            "Moore-AnimateAnyone Simple",
+            "Moore-AnimateAnyone VAE"
+        ],
+        {
+            "title_aux": "ComfyUI-Moore-AnimateAnyone"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Motion-Vector-Extractor": [
+        [
+            "Motion Vector Extractor",
+            "VideoCombineThenPath"
+        ],
+        {
+            "title_aux": "ComfyUI-Motion-Vector-Extractor"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MotionCtrl": [
+        [
+            "Load Motion Camera Preset",
+            "Load Motion Traj Preset",
+            "Load Motionctrl Checkpoint",
+            "Motionctrl Cond",
+            "Motionctrl Sample",
+            "Motionctrl Sample Simple",
+            "Select Image Indices"
+        ],
+        {
+            "title_aux": "ComfyUI-MotionCtrl"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MotionCtrl-SVD": [
+        [
+            "Load Motionctrl-SVD Camera Preset",
+            "Load Motionctrl-SVD Checkpoint",
+            "Motionctrl-SVD Sample Simple"
+        ],
+        {
+            "title_aux": "ComfyUI-MotionCtrl-SVD"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MuseTalk": [
+        [
+            "MuseTalkCupAudio",
+            "MuseTalkRun",
+            "VHS_FILENAMES_STRING_MuseTalk"
+        ],
+        {
+            "title_aux": "ComfyUI-MuseTalk"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MuseV": [
+        [
+            "MuseVRun",
+            "MuseVRunVid2Vid",
+            "VHS_FILENAMES_STRING_MuseV"
+        ],
+        {
+            "author": "infguo",
+            "title_aux": "ComfyUI-MuseV"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Open-Sora": [
+        [
+            "OpenSoraLoader",
+            "OpenSoraRun",
+            "OpenSoraSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-Open-Sora"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Open-Sora-Plan": [
+        [
+            "OpenSoraPlanDecode",
+            "OpenSoraPlanLoader",
+            "OpenSoraPlanRun",
+            "OpenSoraPlanSample"
+        ],
+        {
+            "title_aux": "ComfyUI-Open-Sora-Plan"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Panda3d": [
+        [
+            "Panda3dAmbientLight",
+            "Panda3dAttachNewNode",
+            "Panda3dBase",
+            "Panda3dDirectionalLight",
+            "Panda3dLoadDepthModel",
+            "Panda3dLoadModel",
+            "Panda3dLoadTexture",
+            "Panda3dModelMerge",
+            "Panda3dTest",
+            "Panda3dTextureMerge"
+        ],
+        {
+            "title_aux": "ComfyUI-Panda3d"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Pymunk": [
+        [
+            "PygameRun",
+            "PygameSurface",
+            "PymunkDynamicBox",
+            "PymunkDynamicCircle",
+            "PymunkRun",
+            "PymunkShapeMerge",
+            "PymunkSpace",
+            "PymunkStaticLine"
+        ],
+        {
+            "title_aux": "ComfyUI-Pymunk"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-RAFT": [
+        [
+            "Load MotionBrush",
+            "RAFT Run",
+            "Save MotionBrush",
+            "VizMotionBrush"
+        ],
+        {
+            "title_aux": "ComfyUI-RAFT"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-SimDA": [
+        [
+            "SimDALoader",
+            "SimDARun",
+            "SimDATrain",
+            "VHS_FILENAMES_STRING_SimDA"
+        ],
+        {
+            "title_aux": "ComfyUI-SimDA"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Trajectory": [
+        [
+            "Trajectory_Canvas_Tab"
+        ],
+        {
+            "author": "Lerc",
+            "description": "This extension provides a full page image editor with mask support. There are two nodes, one to receive images from the editor and one to send images to the editor.",
+            "nickname": "Canvas Tab",
+            "title": "Canvas Tab",
+            "title_aux": "ComfyUI-Trajectory"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Video-Editing-X-Attention": [
+        [
+            "StringList",
+            "VEXAGuidance",
+            "VEXALoader",
+            "VEXARun"
+        ],
+        {
+            "title_aux": "ComfyUI-Video-Editing-X-Attention"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-dust3r": [
+        [
+            "CameraPoseVideo",
+            "Dust3rLoader",
+            "Dust3rRun"
+        ],
+        {
+            "title_aux": "ComfyUI-dust3r"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI_StreamingT2V": [
+        [
+            "LoadText_StreamingT2V",
+            "PromptTravelIndex",
+            "SaveText_StreamingT2V",
+            "StreamingT2VLoaderAnimateDiff",
+            "StreamingT2VLoaderAnimateDiffModel",
+            "StreamingT2VLoaderEnhanceModel",
+            "StreamingT2VLoaderModelscopeModel",
+            "StreamingT2VLoaderModelscopeT2V",
+            "StreamingT2VLoaderSVD",
+            "StreamingT2VLoaderSVDModel",
+            "StreamingT2VLoaderStreamModel",
+            "StreamingT2VLoaderVidXTendModel",
+            "StreamingT2VRunEnhanceStep",
+            "StreamingT2VRunI2V",
+            "StreamingT2VRunLongStep",
+            "StreamingT2VRunLongStepVidXTendPipeline",
+            "StreamingT2VRunLongStepVidXTendPipelineCustomRef",
+            "StreamingT2VRunLongStepVidXTendPipelineCustomRefOutExtendOnly",
+            "StreamingT2VRunLongStepVidXTendPipelinePromptTravel",
+            "StreamingT2VRunShortStepAnimateDiff",
+            "StreamingT2VRunShortStepModelscopeT2V",
+            "StreamingT2VRunShortStepSVD",
+            "StreamingT2VRunT2V",
+            "VHS_FILENAMES_STRING_StreamingT2V"
+        ],
+        {
+            "title_aux": "ComfyUI_StreamingT2V"
+        }
+    ],
+    "https://github.com/chaosaiart/Chaosaiart-Nodes": [
+        [
+            "chaosaiart_Any_Switch",
+            "chaosaiart_Any_Switch_Big_Number",
+            "chaosaiart_Any_Switch_small",
+            "chaosaiart_AutoNone_Switch_small",
+            "chaosaiart_CheckpointLoader",
+            "chaosaiart_CheckpointPrompt",
+            "chaosaiart_CheckpointPrompt2",
+            "chaosaiart_CheckpointPrompt_Frame",
+            "chaosaiart_CheckpointPrompt_FrameMixer",
+            "chaosaiart_ControlNetApply",
+            "chaosaiart_ControlNetApply2",
+            "chaosaiart_ControlNetApply3",
+            "chaosaiart_Denoising_Switch",
+            "chaosaiart_EmptyLatentImage",
+            "chaosaiart_FramePromptCLIPEncode",
+            "chaosaiart_Frame_Switch",
+            "chaosaiart_KSampler1",
+            "chaosaiart_KSampler2",
+            "chaosaiart_KSampler3",
+            "chaosaiart_KSampler4",
+            "chaosaiart_KSampler5",
+            "chaosaiart_KSampler7",
+            "chaosaiart_KSampler_a1",
+            "chaosaiart_KSampler_a1a",
+            "chaosaiart_KSampler_a2",
+            "chaosaiart_KSampler_expert_0",
+            "chaosaiart_KSampler_expert_1",
+            "chaosaiart_Ksampler_attribut",
+            "chaosaiart_Load_Image_Batch",
+            "chaosaiart_Load_Image_Batch_2img",
+            "chaosaiart_MainPromptCLIPEncode",
+            "chaosaiart_Number",
+            "chaosaiart_Number2",
+            "chaosaiart_Number_Counter",
+            "chaosaiart_Number_Switch",
+            "chaosaiart_Prompt",
+            "chaosaiart_Prompt_Frame",
+            "chaosaiart_Prompt_mixer_byFrame",
+            "chaosaiart_SaveImage",
+            "chaosaiart_Show_Info",
+            "chaosaiart_Simple_Prompt",
+            "chaosaiart_Style_Node",
+            "chaosaiart_TextCLIPEncode",
+            "chaosaiart_TextCLIPEncode_lora",
+            "chaosaiart_adjust_color",
+            "chaosaiart_any_array2input_1Input",
+            "chaosaiart_any_array2input_all_big",
+            "chaosaiart_any_array2input_all_small",
+            "chaosaiart_any_input2array_big",
+            "chaosaiart_any_input2array_small",
+            "chaosaiart_controlnet_weidgth",
+            "chaosaiart_convert",
+            "chaosaiart_convert_Prompt",
+            "chaosaiart_forPreview",
+            "chaosaiart_image_loop",
+            "chaosaiart_img2gif",
+            "chaosaiart_img2video",
+            "chaosaiart_lora",
+            "chaosaiart_lora_advanced",
+            "chaosaiart_merge_Folders",
+            "chaosaiart_oneNode",
+            "chaosaiart_reloadAny_Load",
+            "chaosaiart_reloadAny_Save",
+            "chaosaiart_reloadIMG_Load",
+            "chaosaiart_reloadIMG_Save",
+            "chaosaiart_reloadLatent_Load",
+            "chaosaiart_reloadLatent_Save",
+            "chaosaiart_restarter",
+            "chaosaiart_restarter_advanced",
+            "chaosaiart_video2img1",
+            "chaosaiart_zoom_frame"
+        ],
+        {
+            "title_aux": "Chaosaiart-Nodes"
+        }
+    ],
+    "https://github.com/chesnokovivan/ComfyUI-Novakid": [
+        [
+            "Novakid Styler"
+        ],
+        {
+            "title_aux": "ComfyUI-Novakid"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_CatVTON_Wrapper": [
+        [
+            "CatVTONWrapper"
+        ],
+        {
+            "author": "chflame",
+            "description": "CatVTON warpper for ComfyUI",
+            "nickname": "CatVTON_Wrapper",
+            "title": "CatVTON_Wrapper",
+            "title_aux": "ComfyUI_CatVTON_Wrapper"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_FaceSimilarity": [
+        [
+            "Face Similarity"
+        ],
+        {
+            "title_aux": "ComfyUI Face Similarity"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_LayerStyle": [
+        [
+            "LayerColor: AutoAdjust",
+            "LayerColor: AutoAdjustV2",
+            "LayerColor: AutoBrightness",
+            "LayerColor: Brightness & Contrast",
+            "LayerColor: Color of Shadow & Highlight",
+            "LayerColor: ColorAdapter",
+            "LayerColor: ColorBalance",
+            "LayerColor: ColorTemperature",
+            "LayerColor: Exposure",
+            "LayerColor: Gamma",
+            "LayerColor: HSV",
+            "LayerColor: LAB",
+            "LayerColor: LUT Apply",
+            "LayerColor: Levels",
+            "LayerColor: RGB",
+            "LayerColor: YUV",
+            "LayerFilter: AddGrain",
+            "LayerFilter: ChannelShake",
+            "LayerFilter: ColorMap",
+            "LayerFilter: Film",
+            "LayerFilter: FilmV2",
+            "LayerFilter: GaussianBlur",
+            "LayerFilter: HDREffects",
+            "LayerFilter: LightLeak",
+            "LayerFilter: MotionBlur",
+            "LayerFilter: Sharp & Soft",
+            "LayerFilter: SkinBeauty",
+            "LayerFilter: SoftLight",
+            "LayerFilter: WaterColor",
+            "LayerMask: BBoxJoin",
+            "LayerMask: BiRefNetUltra",
+            "LayerMask: BiRefNetUltraV2",
+            "LayerMask: BlendIf Mask",
+            "LayerMask: CreateGradientMask",
+            "LayerMask: EVFSAMUltra",
+            "LayerMask: Florence2Ultra",
+            "LayerMask: ImageToMask",
+            "LayerMask: LoadBiRefNetModel",
+            "LayerMask: LoadFlorence2Model",
+            "LayerMask: MaskBoxDetect",
+            "LayerMask: MaskByColor",
+            "LayerMask: MaskByDifferent",
+            "LayerMask: MaskEdgeShrink",
+            "LayerMask: MaskEdgeUltraDetail",
+            "LayerMask: MaskEdgeUltraDetail V2",
+            "LayerMask: MaskGradient",
+            "LayerMask: MaskGrain",
+            "LayerMask: MaskGrow",
+            "LayerMask: MaskInvert",
+            "LayerMask: MaskMotionBlur",
+            "LayerMask: MaskPreview",
+            "LayerMask: MaskStroke",
+            "LayerMask: MediapipeFacialSegment",
+            "LayerMask: ObjectDetectorFL2",
+            "LayerMask: ObjectDetectorMask",
+            "LayerMask: ObjectDetectorYOLO8",
+            "LayerMask: ObjectDetectorYOLOWorld",
+            "LayerMask: PersonMaskUltra",
+            "LayerMask: PersonMaskUltra V2",
+            "LayerMask: PixelSpread",
+            "LayerMask: RemBgUltra",
+            "LayerMask: RmBgUltra V2",
+            "LayerMask: SAM2Ultra",
+            "LayerMask: SAM2VideoUltra",
+            "LayerMask: SegformerB2ClothesUltra",
+            "LayerMask: SegformerClothesPipelineLoader",
+            "LayerMask: SegformerFashionPipelineLoader",
+            "LayerMask: SegformerUltraV2",
+            "LayerMask: SegmentAnythingUltra",
+            "LayerMask: SegmentAnythingUltra V2",
+            "LayerMask: Shadow & Highlight Mask",
+            "LayerMask: TransparentBackgroundUltra",
+            "LayerMask: YoloV8Detect",
+            "LayerStyle: ColorOverlay",
+            "LayerStyle: ColorOverlay V2",
+            "LayerStyle: DropShadow",
+            "LayerStyle: DropShadow V2",
+            "LayerStyle: Gradient Map",
+            "LayerStyle: GradientOverlay",
+            "LayerStyle: GradientOverlay V2",
+            "LayerStyle: InnerGlow",
+            "LayerStyle: InnerGlow V2",
+            "LayerStyle: InnerShadow",
+            "LayerStyle: InnerShadow V2",
+            "LayerStyle: OuterGlow",
+            "LayerStyle: OuterGlow V2",
+            "LayerStyle: Stroke",
+            "LayerStyle: Stroke V2",
+            "LayerUtility: AddBlindWaterMark",
+            "LayerUtility: BatchSelector",
+            "LayerUtility: Boolean",
+            "LayerUtility: BooleanOperator",
+            "LayerUtility: BooleanOperatorV2",
+            "LayerUtility: CheckMask",
+            "LayerUtility: CheckMaskV2",
+            "LayerUtility: ColorImage",
+            "LayerUtility: ColorImage V2",
+            "LayerUtility: ColorPicker",
+            "LayerUtility: CreateQRCode",
+            "LayerUtility: CropBoxResolve",
+            "LayerUtility: CropByMask",
+            "LayerUtility: CropByMask V2",
+            "LayerUtility: DecodeQRCode",
+            "LayerUtility: ExtendCanvas",
+            "LayerUtility: ExtendCanvasV2",
+            "LayerUtility: Float",
+            "LayerUtility: Florence2Image2Prompt",
+            "LayerUtility: GetColorTone",
+            "LayerUtility: GetColorToneV2",
+            "LayerUtility: GetImageSize",
+            "LayerUtility: GradientImage",
+            "LayerUtility: GradientImage V2",
+            "LayerUtility: HLFrequencyDetailRestore",
+            "LayerUtility: HSV Value",
+            "LayerUtility: If",
+            "LayerUtility: ImageAutoCrop",
+            "LayerUtility: ImageAutoCrop V2",
+            "LayerUtility: ImageAutoCrop V3",
+            "LayerUtility: ImageBlend",
+            "LayerUtility: ImageBlend V2",
+            "LayerUtility: ImageBlendAdvance",
+            "LayerUtility: ImageBlendAdvance V2",
+            "LayerUtility: ImageChannelMerge",
+            "LayerUtility: ImageChannelSplit",
+            "LayerUtility: ImageCombineAlpha",
+            "LayerUtility: ImageHub",
+            "LayerUtility: ImageMaskScaleAs",
+            "LayerUtility: ImageOpacity",
+            "LayerUtility: ImageReel",
+            "LayerUtility: ImageReelComposit",
+            "LayerUtility: ImageRemoveAlpha",
+            "LayerUtility: ImageRewardFilter",
+            "LayerUtility: ImageScaleByAspectRatio",
+            "LayerUtility: ImageScaleByAspectRatio V2",
+            "LayerUtility: ImageScaleRestore",
+            "LayerUtility: ImageScaleRestore V2",
+            "LayerUtility: ImageShift",
+            "LayerUtility: ImageTaggerSave",
+            "LayerUtility: Integer",
+            "LayerUtility: LaMa",
+            "LayerUtility: LayerImageTransform",
+            "LayerUtility: LayerMaskTransform",
+            "LayerUtility: LoadPSD",
+            "LayerUtility: LoadVQAModel",
+            "LayerUtility: NumberCalculator",
+            "LayerUtility: NumberCalculatorV2",
+            "LayerUtility: PrintInfo",
+            "LayerUtility: PromptEmbellish",
+            "LayerUtility: PromptTagger",
+            "LayerUtility: PurgeVRAM",
+            "LayerUtility: QWenImage2Prompt",
+            "LayerUtility: QueueStop",
+            "LayerUtility: RGB Value",
+            "LayerUtility: RandomGenerator",
+            "LayerUtility: RestoreCropBox",
+            "LayerUtility: SD3NegativeConditioning",
+            "LayerUtility: SaveImagePlus",
+            "LayerUtility: Seed",
+            "LayerUtility: ShowBlindWaterMark",
+            "LayerUtility: SimpleTextImage",
+            "LayerUtility: String",
+            "LayerUtility: StringCondition",
+            "LayerUtility: SwitchCase",
+            "LayerUtility: TextBox",
+            "LayerUtility: TextImage",
+            "LayerUtility: TextImage V2",
+            "LayerUtility: TextJoin",
+            "LayerUtility: VQAPrompt",
+            "LayerUtility: XY to Percent"
+        ],
+        {
+            "author": "chflame",
+            "description": "A set of nodes for ComfyUI that can composite layer and mask to achieve Photoshop like functionality.",
+            "nickname": "LayerStyle",
+            "title": "LayerStyle",
+            "title_aux": "ComfyUI Layer Style"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_MSSpeech_TTS": [
+        [
+            "Input Trigger",
+            "MicrosoftSpeech_TTS",
+            "Play Sound",
+            "Play Sound (loop)"
+        ],
+        {
+            "title_aux": "ComfyUI_MSSpeech_TTS"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_WordCloud": [
+        [
+            "ComfyWordCloud",
+            "LoadTextFile",
+            "RGB_Picker"
+        ],
+        {
+            "title_aux": "ComfyUI_WordCloud"
+        }
+    ],
+    "https://github.com/chibiace/ComfyUI-Chibi-Nodes": [
+        [
+            "ConditionText",
+            "ConditionTextMulti",
+            "ConditionTextPrompts",
+            "ImageAddText",
+            "ImageSimpleResize",
+            "ImageSizeInfo",
+            "ImageTool",
+            "Int2String",
+            "LoadEmbedding",
+            "LoadImageExtended",
+            "Loader",
+            "Prompts",
+            "RandomResolutionLatent",
+            "SaveImages",
+            "SeedGenerator",
+            "SimpleSampler",
+            "TextSplit",
+            "Textbox",
+            "Wildcards"
+        ],
+        {
+            "title_aux": "ComfyUI-Chibi-Nodes"
+        }
+    ],
+    "https://github.com/choey/Comfy-Topaz": [
+        [
+            "TopazPhotoAI",
+            "TopazSharpenSettings",
+            "TopazUpscaleSettings"
+        ],
+        {
+            "title_aux": "Comfy-Topaz"
+        }
+    ],
+    "https://github.com/chris-the-wiz/EmbeddingsCurveEditor_ComfyUI": [
+        [
+            "Embeddings Curve Editor"
+        ],
+        {
+            "title_aux": "EmbeddingsCurveEditor_ComfyUI"
+        }
+    ],
+    "https://github.com/chrisfreilich/virtuoso-nodes": [
+        [
+            "BlackAndWhite",
+            "BlendIf",
+            "BlendModes",
+            "ColorBalance",
+            "ColorBalanceAdvanced",
+            "GaussianBlur",
+            "GaussianBlurDepth",
+            "HueSat",
+            "HueSatAdvanced",
+            "LensBlur",
+            "LensBlurDepth",
+            "Levels",
+            "MergeRGB",
+            "MotionBlur",
+            "MotionBlurDepth",
+            "SelectiveColor",
+            "SolidColor",
+            "SolidColorHSV",
+            "SolidColorRGB",
+            "SplitRGB"
+        ],
+        {
+            "author": "Chris Freilich",
+            "description": "This extension provides blur nodes.",
+            "nickname": "Virtuoso Pack - Blur",
+            "title": "Virtuoso Pack - Blur",
+            "title_aux": "Virtuoso Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/chrisgoringe/cg-image-picker": [
+        [
+            "Preview Chooser",
+            "Preview Chooser Fabric",
+            "Simple Chooser"
+        ],
+        {
+            "author": "chrisgoringe",
+            "description": "Custom nodes that preview images and pause the workflow to allow the user to select one or more to progress",
+            "nickname": "Image Chooser",
+            "title": "Image Chooser",
+            "title_aux": "Image chooser"
+        }
+    ],
+    "https://github.com/chrisgoringe/cg-noisetools": [
+        [
+            "Batch Noise Simulate",
+            "Mix Noise",
+            "Seperable Batch Noise",
+            "Shape Noise"
+        ],
+        {
+            "title_aux": "Noise variation and batch noise tools"
+        }
+    ],
+    "https://github.com/chrisgoringe/cg-use-everywhere": [
+        [
+            "Seed Everywhere"
+        ],
+        {
+            "nodename_pattern": "(^(Prompts|Anything) Everywhere|Simple String)",
+            "title_aux": "Use Everywhere (UE Nodes)"
+        }
+    ],
+    "https://github.com/christian-byrne/audio-separation-nodes-comfyui": [
+        [
+            "AudioCombine",
+            "AudioCrop",
+            "AudioGetTempo",
+            "AudioSeparation",
+            "AudioSpeedShift",
+            "AudioTempoMatch",
+            "AudioVideoCombine"
+        ],
+        {
+            "title_aux": "audio-separation-nodes-comfyui"
+        }
+    ],
+    "https://github.com/christian-byrne/img2colors-comfyui-node": [
+        [
+            "bmy_Img2ColorNode"
+        ],
+        {
+            "author": "christian-byrne",
+            "description": "",
+            "nickname": "img2color",
+            "title": "Img2Color Node - Detect and describe color palettes in images",
+            "title_aux": "Img2color - Extract Colors from Image"
+        }
+    ],
+    "https://github.com/christian-byrne/img2txt-comfyui-nodes": [
+        [
+            "img2txt BLIP/Llava Multimodel Tagger"
+        ],
+        {
+            "author": "christian-byrne",
+            "title": "Img2Txt auto captioning",
+            "title_aux": "img2txt-comfyui-nodes"
+        }
+    ],
+    "https://github.com/christian-byrne/size-match-compositing-nodes": [
+        [
+            "Composite Alpha Layer",
+            "Size Match Images/Masks"
+        ],
+        {
+            "title_aux": "Node - Size Matcher"
+        }
+    ],
+    "https://github.com/christian-byrne/youtube-dl-comfyui": [
+        [
+            "YoutubeDL"
+        ],
+        {
+            "title_aux": "youtube-dl-comfyui"
+        }
+    ],
+    "https://github.com/city96/ComfyUI-GGUF": [
+        [
+            "CLIPLoaderGGUF",
+            "DualCLIPLoaderGGUF",
+            "TripleCLIPLoaderGGUF",
+            "UnetLoaderGGUF",
+            "UnetLoaderGGUFAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI-GGUF"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_ColorMod": [
+        [
+            "CV2Tonemap",
+            "CV2TonemapDrago",
+            "CV2TonemapDurand",
+            "CV2TonemapMantiuk",
+            "CV2TonemapReinhard",
+            "ColorModCompress",
+            "ColorModEdges",
+            "ColorModMove",
+            "ColorModPivot",
+            "ColorspaceConvert",
+            "HDRCreate",
+            "HDRExposureFusion",
+            "LoadImageHDR",
+            "LoadImageHighPrec",
+            "PreviewImageHighPrec",
+            "SaveImageHDR",
+            "SaveImageHighPrec"
+        ],
+        {
+            "title_aux": "ComfyUI_ColorMod"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_DiT": [
+        [
+            "DiTCheckpointLoader",
+            "DiTCheckpointLoaderSimple",
+            "DiTLabelCombine",
+            "DiTLabelSelect",
+            "DiTSampler"
+        ],
+        {
+            "title_aux": "ComfyUI_DiT [WIP]"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_ExtraModels": [
+        [
+            "DiTCondLabelEmpty",
+            "DiTCondLabelSelect",
+            "DitCheckpointLoader",
+            "ExtraVAELoader",
+            "HYDiTCheckpointLoader",
+            "HYDiTSrcSizeCond",
+            "HYDiTTextEncode",
+            "HYDiTTextEncodeSimple",
+            "HYDiTTextEncoderLoader",
+            "MiaoBiCLIPLoader",
+            "MiaoBiDiffusersLoader",
+            "OverrideCLIPDevice",
+            "OverrideVAEDevice",
+            "PixArtCheckpointLoader",
+            "PixArtCheckpointLoaderSimple",
+            "PixArtControlNetCond",
+            "PixArtLoraLoader",
+            "PixArtResolutionCond",
+            "PixArtResolutionSelect",
+            "PixArtT5FromSD3CLIP",
+            "PixArtT5TextEncode",
+            "T5TextEncode",
+            "T5v11Loader"
+        ],
+        {
+            "title_aux": "Extra Models for ComfyUI"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_NetDist": [
+        [
+            "CombineImageBatch",
+            "FetchRemote",
+            "LoadCurrentWorkflowJSON",
+            "LoadDiskWorkflowJSON",
+            "LoadImageUrl",
+            "LoadLatentNumpy",
+            "LoadLatentUrl",
+            "RemoteChainEnd",
+            "RemoteChainStart",
+            "RemoteQueueSimple",
+            "RemoteQueueWorker",
+            "SaveDiskWorkflowJSON",
+            "SaveImageUrl",
+            "SaveLatentNumpy"
+        ],
+        {
+            "title_aux": "ComfyUI_NetDist"
+        }
+    ],
+    "https://github.com/city96/SD-Advanced-Noise": [
+        [
+            "LatentGaussianNoise",
+            "MathEncode"
+        ],
+        {
+            "title_aux": "SD-Advanced-Noise"
+        }
+    ],
+    "https://github.com/city96/SD-Latent-Interposer": [
+        [
+            "LatentInterposer"
+        ],
+        {
+            "title_aux": "Latent-Interposer"
+        }
+    ],
+    "https://github.com/city96/SD-Latent-Upscaler": [
+        [
+            "LatentUpscaler"
+        ],
+        {
+            "title_aux": "SD-Latent-Upscaler"
+        }
+    ],
+    "https://github.com/civitai/comfy-nodes": [
+        [
+            "CivitAI_Checkpoint_Loader",
+            "CivitAI_Lora_Loader"
+        ],
+        {
+            "title_aux": "comfy-nodes"
+        }
+    ],
+    "https://github.com/claussteinmassl/ComfyUI-CS-CustomNodes": [
+        [
+            "CS Transform"
+        ],
+        {
+            "title_aux": "CS Transform Node for ComfyUI"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI": [
+        [
+            "AddNoise",
+            "AlignYourStepsScheduler",
+            "BasicGuider",
+            "BasicScheduler",
+            "BetaSamplingScheduler",
+            "CFGGuider",
+            "CLIPAttentionMultiply",
+            "CLIPLoader",
+            "CLIPMergeAdd",
+            "CLIPMergeSimple",
+            "CLIPMergeSubtract",
+            "CLIPSave",
+            "CLIPSetLastLayer",
+            "CLIPTextEncode",
+            "CLIPTextEncodeControlnet",
+            "CLIPTextEncodeFlux",
+            "CLIPTextEncodeHunyuanDiT",
+            "CLIPTextEncodeSD3",
+            "CLIPTextEncodeSDXL",
+            "CLIPTextEncodeSDXLRefiner",
+            "CLIPVisionEncode",
+            "CLIPVisionLoader",
+            "Canny",
+            "CheckpointLoader",
+            "CheckpointLoaderSimple",
+            "CheckpointSave",
+            "ConditioningAverage",
+            "ConditioningCombine",
+            "ConditioningConcat",
+            "ConditioningSetArea",
+            "ConditioningSetAreaPercentage",
+            "ConditioningSetAreaStrength",
+            "ConditioningSetMask",
+            "ConditioningSetTimestepRange",
+            "ConditioningZeroOut",
+            "ControlNetApply",
+            "ControlNetApplyAdvanced",
+            "ControlNetApplySD3",
+            "ControlNetLoader",
+            "CropMask",
+            "DiffControlNetLoader",
+            "DifferentialDiffusion",
+            "DiffusersLoader",
+            "DisableNoise",
+            "DualCFGGuider",
+            "DualCLIPLoader",
+            "EmptyImage",
+            "EmptyLatentAudio",
+            "EmptyLatentImage",
+            "EmptySD3LatentImage",
+            "ExponentialScheduler",
+            "FeatherMask",
+            "FlipSigmas",
+            "FluxGuidance",
+            "FreeU",
+            "FreeU_V2",
+            "GITSScheduler",
+            "GLIGENLoader",
+            "GLIGENTextBoxApply",
+            "GrowMask",
+            "HyperTile",
+            "HypernetworkLoader",
+            "ImageBatch",
+            "ImageBlend",
+            "ImageBlur",
+            "ImageColorToMask",
+            "ImageCompositeMasked",
+            "ImageCrop",
+            "ImageFromBatch",
+            "ImageInvert",
+            "ImageOnlyCheckpointLoader",
+            "ImageOnlyCheckpointSave",
+            "ImagePadForOutpaint",
+            "ImageQuantize",
+            "ImageScale",
+            "ImageScaleBy",
+            "ImageScaleToTotalPixels",
+            "ImageSharpen",
+            "ImageToMask",
+            "ImageUpscaleWithModel",
+            "InpaintModelConditioning",
+            "InstructPixToPixConditioning",
+            "InvertMask",
+            "JoinImageWithAlpha",
+            "KSampler",
+            "KSamplerAdvanced",
+            "KSamplerSelect",
+            "KarrasScheduler",
+            "LatentAdd",
+            "LatentBatch",
+            "LatentBatchSeedBehavior",
+            "LatentBlend",
+            "LatentComposite",
+            "LatentCompositeMasked",
+            "LatentCrop",
+            "LatentFlip",
+            "LatentFromBatch",
+            "LatentInterpolate",
+            "LatentMultiply",
+            "LatentRotate",
+            "LatentSubtract",
+            "LatentUpscale",
+            "LatentUpscaleBy",
+            "LoadAudio",
+            "LoadImage",
+            "LoadImageMask",
+            "LoadLatent",
+            "LoraLoader",
+            "LoraLoaderModelOnly",
+            "LoraSave",
+            "MaskComposite",
+            "MaskToImage",
+            "ModelMergeAdd",
+            "ModelMergeBlocks",
+            "ModelMergeFlux1",
+            "ModelMergeSD1",
+            "ModelMergeSD2",
+            "ModelMergeSD3_2B",
+            "ModelMergeSDXL",
+            "ModelMergeSimple",
+            "ModelMergeSubtract",
+            "ModelSamplingAuraFlow",
+            "ModelSamplingContinuousEDM",
+            "ModelSamplingContinuousV",
+            "ModelSamplingDiscrete",
+            "ModelSamplingFlux",
+            "ModelSamplingSD3",
+            "ModelSamplingStableCascade",
+            "ModelSave",
+            "Morphology",
+            "PatchModelAddDownscale",
+            "PerpNeg",
+            "PerpNegGuider",
+            "PerturbedAttentionGuidance",
+            "PhotoMakerEncode",
+            "PhotoMakerLoader",
+            "PolyexponentialScheduler",
+            "PorterDuffImageComposite",
+            "PreviewAudio",
+            "PreviewImage",
+            "RandomNoise",
+            "RebatchImages",
+            "RebatchLatents",
+            "RepeatImageBatch",
+            "RepeatLatentBatch",
+            "RescaleCFG",
+            "SDTurboScheduler",
+            "SD_4XUpscale_Conditioning",
+            "SV3D_Conditioning",
+            "SVD_img2vid_Conditioning",
+            "SamplerCustom",
+            "SamplerCustomAdvanced",
+            "SamplerDPMAdaptative",
+            "SamplerDPMPP_2M_SDE",
+            "SamplerDPMPP_2S_Ancestral",
+            "SamplerDPMPP_3M_SDE",
+            "SamplerDPMPP_SDE",
+            "SamplerEulerAncestral",
+            "SamplerEulerAncestralCFGPP",
+            "SamplerEulerCFGpp",
+            "SamplerLCMUpscale",
+            "SamplerLMS",
+            "SaveAnimatedPNG",
+            "SaveAnimatedWEBP",
+            "SaveAudio",
+            "SaveImage",
+            "SaveImageWebsocket",
+            "SaveLatent",
+            "SelfAttentionGuidance",
+            "SetLatentNoiseMask",
+            "SetUnionControlNetType",
+            "SolidMask",
+            "SplitImageWithAlpha",
+            "SplitSigmas",
+            "SplitSigmasDenoise",
+            "StableCascade_EmptyLatentImage",
+            "StableCascade_StageB_Conditioning",
+            "StableCascade_StageC_VAEEncode",
+            "StableCascade_SuperResolutionControlnet",
+            "StableZero123_Conditioning",
+            "StableZero123_Conditioning_Batched",
+            "StubConstantImage",
+            "StubFloat",
+            "StubImage",
+            "StubInt",
+            "StubMask",
+            "StyleModelApply",
+            "StyleModelLoader",
+            "TestAccumulateNode",
+            "TestAccumulationGetItemNode",
+            "TestAccumulationGetLengthNode",
+            "TestAccumulationHeadNode",
+            "TestAccumulationSetItemNode",
+            "TestAccumulationTailNode",
+            "TestAccumulationToListNode",
+            "TestBoolOperationNode",
+            "TestCustomIsChanged",
+            "TestCustomValidation1",
+            "TestCustomValidation2",
+            "TestCustomValidation3",
+            "TestCustomValidation4",
+            "TestCustomValidation5",
+            "TestDynamicDependencyCycle",
+            "TestExecutionBlocker",
+            "TestFloatConditions",
+            "TestForLoopClose",
+            "TestForLoopOpen",
+            "TestIntConditions",
+            "TestIntMathOperation",
+            "TestIsChangedWithConstants",
+            "TestLazyMixImages",
+            "TestListToAccumulationNode",
+            "TestMakeListNode",
+            "TestMixedExpansionReturns",
+            "TestStringConditions",
+            "TestToBoolNode",
+            "TestVariadicAverage",
+            "TestWhileLoopClose",
+            "TestWhileLoopOpen",
+            "ThresholdMask",
+            "TomePatchModel",
+            "TorchCompileModel",
+            "TripleCLIPLoader",
+            "UNETLoader",
+            "UNetCrossAttentionMultiply",
+            "UNetSelfAttentionMultiply",
+            "UNetTemporalAttentionMultiply",
+            "UpscaleModelLoader",
+            "VAEDecode",
+            "VAEDecodeAudio",
+            "VAEDecodeTiled",
+            "VAEEncode",
+            "VAEEncodeAudio",
+            "VAEEncodeForInpaint",
+            "VAEEncodeTiled",
+            "VAELoader",
+            "VAESave",
+            "VPScheduler",
+            "VideoLinearCFGGuidance",
+            "VideoTriangleCFGGuidance",
+            "WebcamCapture",
+            "unCLIPCheckpointLoader",
+            "unCLIPConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI_TensorRT": [
+        [
+            "DYNAMIC_TRT_MODEL_CONVERSION",
+            "STATIC_TRT_MODEL_CONVERSION",
+            "TensorRTLoader"
+        ],
+        {
+            "title_aux": "TensorRT Node for ComfyUI"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI_experiments": [
+        [
+            "ModelMergeBlockNumber",
+            "ModelMergeSDXL",
+            "ModelMergeSDXLDetailedTransformers",
+            "ModelMergeSDXLTransformers",
+            "ModelSamplerTonemapNoiseTest",
+            "ReferenceOnlySimple",
+            "RescaleClassifierFreeGuidanceTest",
+            "TonemapNoiseWithRescaleCFG"
+        ],
+        {
+            "title_aux": "ComfyUI_experiments"
+        }
+    ],
+    "https://github.com/concarne000/ConCarneNode": [
+        [
+            "BingImageGrabber",
+            "Hermes",
+            "Zephyr"
+        ],
+        {
+            "title_aux": "ConCarneNode"
+        }
+    ],
+    "https://github.com/conquestace/ComfyUI-ImageUploader": [
+        [
+            "ImageUploader"
+        ],
+        {
+            "author": "ConquestAce",
+            "description": "Upload to temporary websites with API.",
+            "nickname": "Image Uploader",
+            "title": "Image Uploader",
+            "title_aux": "Image Uploader"
+        }
+    ],
+    "https://github.com/coreyryanhanson/ComfyQR": [
+        [
+            "comfy-qr-by-image-size",
+            "comfy-qr-by-module-size",
+            "comfy-qr-by-module-split",
+            "comfy-qr-mask_errors"
+        ],
+        {
+            "title_aux": "ComfyQR"
+        }
+    ],
+    "https://github.com/coreyryanhanson/ComfyQR-scanning-nodes": [
+        [
+            "comfy-qr-read",
+            "comfy-qr-validate"
+        ],
+        {
+            "title_aux": "ComfyQR-scanning-nodes"
+        }
+    ],
+    "https://github.com/cozy-comfyui/cozy_comm": [
+        [
+            "CozyDiscordPost"
+        ],
+        {
+            "nodename_pattern": " \\(cozy\\)",
+            "title_aux": "Cozy Communication"
+        }
+    ],
+    "https://github.com/cozymantis/cozy-utils-comfyui-nodes": [
+        [
+            "Cozy Sampler Options"
+        ],
+        {
+            "title_aux": "Cozy Utils"
+        }
+    ],
+    "https://github.com/cozymantis/human-parser-comfyui-node": [
+        [
+            "Cozy Human Parser ATR",
+            "Cozy Human Parser LIP",
+            "Cozy Human Parser Pascal"
+        ],
+        {
+            "title_aux": "Cozy Human Parser"
+        }
+    ],
+    "https://github.com/cozymantis/pose-generator-comfyui-node": [
+        [
+            "Cozy Pose Body Reference",
+            "Cozy Pose Face Reference"
+        ],
+        {
+            "title_aux": "Cozy Reference Pose Generator"
+        }
+    ],
+    "https://github.com/cr7Por/ComfyUI_DepthFlow": [
+        [
+            "DepthFlowSimple"
+        ],
+        {
+            "title_aux": "ComfyUI_DepthFlow"
+        }
+    ],
+    "https://github.com/crystian/ComfyUI-Crystools": [
+        [],
+        {
+            "author": "Crystian",
+            "description": "Plugins for multiples uses, mainly for debugging, you need them! IG: https://www.instagram.com/crystian.ia",
+            "nickname": "Crystools",
+            "nodename_pattern": " \\[Crystools\\]$",
+            "title": "Crystools",
+            "title_aux": "Crystools"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_FaceAnalysis": [
+        [
+            "FaceAlign",
+            "FaceAnalysisModels",
+            "FaceBoundingBox",
+            "FaceEmbedDistance",
+            "FaceSegmentation",
+            "FaceWarp"
+        ],
+        {
+            "title_aux": "Face Analysis for ComfyUI"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_IPAdapter_plus": [
+        [
+            "IPAAdapterFaceIDBatch",
+            "IPAdapter",
+            "IPAdapterAdvanced",
+            "IPAdapterBatch",
+            "IPAdapterClipVisionEnhancer",
+            "IPAdapterClipVisionEnhancerBatch",
+            "IPAdapterCombineEmbeds",
+            "IPAdapterCombineParams",
+            "IPAdapterCombineWeights",
+            "IPAdapterEmbeds",
+            "IPAdapterEmbedsBatch",
+            "IPAdapterEncoder",
+            "IPAdapterFaceID",
+            "IPAdapterFaceIDKolors",
+            "IPAdapterFromParams",
+            "IPAdapterInsightFaceLoader",
+            "IPAdapterLoadEmbeds",
+            "IPAdapterMS",
+            "IPAdapterModelLoader",
+            "IPAdapterNoise",
+            "IPAdapterPreciseComposition",
+            "IPAdapterPreciseCompositionBatch",
+            "IPAdapterPreciseStyleTransfer",
+            "IPAdapterPreciseStyleTransferBatch",
+            "IPAdapterPromptScheduleFromWeightsStrategy",
+            "IPAdapterRegionalConditioning",
+            "IPAdapterSaveEmbeds",
+            "IPAdapterStyleComposition",
+            "IPAdapterStyleCompositionBatch",
+            "IPAdapterTiled",
+            "IPAdapterTiledBatch",
+            "IPAdapterUnifiedLoader",
+            "IPAdapterUnifiedLoaderCommunity",
+            "IPAdapterUnifiedLoaderFaceID",
+            "IPAdapterWeights",
+            "IPAdapterWeightsFromStrategy",
+            "PrepImageForClipVision"
+        ],
+        {
+            "preemptions": [
+                "IPAAdapterFaceIDBatch",
+                "IPAdapter",
+                "IPAdapterAdvanced",
+                "IPAdapterBatch",
+                "IPAdapterClipVisionEnhancer",
+                "IPAdapterClipVisionEnhancerBatch",
+                "IPAdapterCombineEmbeds",
+                "IPAdapterCombineParams",
+                "IPAdapterCombineWeights",
+                "IPAdapterEmbeds",
+                "IPAdapterEmbedsBatch",
+                "IPAdapterEncoder",
+                "IPAdapterFaceID",
+                "IPAdapterFromParams",
+                "IPAdapterInsightFaceLoader",
+                "IPAdapterLoadEmbeds",
+                "IPAdapterMS",
+                "IPAdapterModelLoader",
+                "IPAdapterNoise",
+                "IPAdapterPreciseComposition",
+                "IPAdapterPreciseCompositionBatch",
+                "IPAdapterPreciseStyleTransfer",
+                "IPAdapterPreciseStyleTransferBatch",
+                "IPAdapterPromptScheduleFromWeightsStrategy",
+                "IPAdapterRegionalConditioning",
+                "IPAdapterSaveEmbeds",
+                "IPAdapterStyleComposition",
+                "IPAdapterStyleCompositionBatch",
+                "IPAdapterTiled",
+                "IPAdapterTiledBatch",
+                "IPAdapterUnifiedLoader",
+                "IPAdapterUnifiedLoaderCommunity",
+                "IPAdapterUnifiedLoaderFaceID",
+                "IPAdapterWeights",
+                "IPAdapterWeightsFromStrategy",
+                "PrepImageForClipVision"
+            ],
+            "title_aux": "ComfyUI_IPAdapter_plus"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_InstantID": [
+        [
+            "ApplyInstantID",
+            "ApplyInstantIDAdvanced",
+            "ApplyInstantIDControlNet",
+            "FaceKeypointsPreprocessor",
+            "InstantIDAttentionPatch",
+            "InstantIDFaceAnalysis",
+            "InstantIDModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI InstantID (Native Support)"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_SimpleMath": [
+        [
+            "SimpleMath",
+            "SimpleMathDebug"
+        ],
+        {
+            "title_aux": "Simple Math"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_essentials": [
+        [
+            "ApplyCLIPSeg+",
+            "BatchCount+",
+            "CLIPTextEncodeSDXL+",
+            "ConditioningCombineMultiple+",
+            "ConsoleDebug+",
+            "DebugTensorShape+",
+            "DisplayAny",
+            "DrawText+",
+            "ExtractKeyframes+",
+            "FluxAttentionSeeker+",
+            "FluxBlocksBuster+",
+            "FluxSamplerParams+",
+            "GetImageSize+",
+            "ImageApplyLUT+",
+            "ImageBatchMultiple+",
+            "ImageBatchToList+",
+            "ImageCASharpening+",
+            "ImageColorMatch+",
+            "ImageColorMatchAdobe+",
+            "ImageComposite+",
+            "ImageCompositeFromMaskBatch+",
+            "ImageCrop+",
+            "ImageDesaturate+",
+            "ImageEnhanceDifference+",
+            "ImageExpandBatch+",
+            "ImageFlip+",
+            "ImageFromBatch+",
+            "ImageHistogramMatch+",
+            "ImageListToBatch+",
+            "ImagePosterize+",
+            "ImagePreviewFromLatent+",
+            "ImageRandomTransform+",
+            "ImageRemoveAlpha+",
+            "ImageRemoveBackground+",
+            "ImageResize+",
+            "ImageSeamCarving+",
+            "ImageSmartSharpen+",
+            "ImageTile+",
+            "ImageToDevice+",
+            "ImageUntile+",
+            "InjectLatentNoise+",
+            "KSamplerVariationsStochastic+",
+            "KSamplerVariationsWithNoise+",
+            "LoadCLIPSegModels+",
+            "LorasForFluxParams+",
+            "MaskBatch+",
+            "MaskBlur+",
+            "MaskBoundingBox+",
+            "MaskExpandBatch+",
+            "MaskFix+",
+            "MaskFlip+",
+            "MaskFromBatch+",
+            "MaskFromColor+",
+            "MaskFromList+",
+            "MaskFromRGBCMYBW+",
+            "MaskFromSegmentation+",
+            "MaskPreview+",
+            "MaskSmooth+",
+            "ModelCompile+",
+            "NoiseFromImage+",
+            "PixelOEPixelize+",
+            "PlotParameters+",
+            "RemBGSession+",
+            "RemoveLatentMask+",
+            "SD3AttentionSeekerLG+",
+            "SD3AttentionSeekerT5+",
+            "SD3NegativeConditioning+",
+            "SDXLEmptyLatentSizePicker+",
+            "SamplerSelectHelper+",
+            "SchedulerSelectHelper+",
+            "SimpleComparison+",
+            "SimpleCondition+",
+            "SimpleMath+",
+            "SimpleMathBoolean+",
+            "SimpleMathCondition+",
+            "SimpleMathDual+",
+            "SimpleMathFloat+",
+            "SimpleMathInt+",
+            "SimpleMathPercent+",
+            "SimpleMathSlider+",
+            "SimpleMathSliderLowRes+",
+            "TextEncodeForSamplerParams+",
+            "TransitionMask+",
+            "TransparentBGSession+"
+        ],
+        {
+            "title_aux": "ComfyUI Essentials"
+        }
+    ],
+    "https://github.com/cubiq/PuLID_ComfyUI": [
+        [
+            "ApplyPulid",
+            "ApplyPulidAdvanced",
+            "PulidEvaClipLoader",
+            "PulidInsightFaceLoader",
+            "PulidModelLoader"
+        ],
+        {
+            "title_aux": "PuLID_ComfyUI"
+        }
+    ],
+    "https://github.com/cuongloveit/comfy_http_request": [
+        [
+            "Send Http Request",
+            "Send Http request"
+        ],
+        {
+            "title_aux": "comfy_http_request"
+        }
+    ],
+    "https://github.com/curiousjp/ComfyUI-MaskBatchPermutations": [
+        [
+            "CombinatorialDetailer",
+            "FlattenAgainstOriginal",
+            "PermuteMaskBatch"
+        ],
+        {
+            "title_aux": "ComfyUI-MaskBatchPermutations"
+        }
+    ],
+    "https://github.com/czcz1024/Comfyui-FaceCompare": [
+        [
+            "FaceCompare"
+        ],
+        {
+            "author": "czcz1024",
+            "description": "Face Compare",
+            "nickname": "Face Compare",
+            "title": "Face Compare",
+            "title_aux": "Face Compare"
+        }
+    ],
+    "https://github.com/da2el-ai/ComfyUI-d2-send-eagle": [
+        [
+            "D2 Send Eagle"
+        ],
+        {
+            "author": "da2el",
+            "description": "Send images to Eagle, an image management application",
+            "title": "D2 Send Eagle",
+            "title_aux": "D2 Send Eagle"
+        }
+    ],
+    "https://github.com/da2el-ai/ComfyUI-d2-size-selector": [
+        [
+            "D2_SizeSelector"
+        ],
+        {
+            "author": "da2el",
+            "description": "Easy select image size",
+            "title": "D2 Size Selector",
+            "title_aux": "D2 Size Selector"
+        }
+    ],
+    "https://github.com/da2el-ai/ComfyUI-d2-steps": [
+        [
+            "D2 Refiner Steps",
+            "D2 Refiner Steps A1111",
+            "D2 Refiner Steps Tester"
+        ],
+        {
+            "author": "da2el",
+            "description": "Calculate the steps for the refiner",
+            "title": "D2 Steps",
+            "title_aux": "D2 Steps"
+        }
+    ],
+    "https://github.com/dadoirie/ComfyUI_Dados_Nodes": [
+        [
+            "PinterestImageNode"
+        ],
+        {
+            "title_aux": "ComfyUI_Dados_Nodes"
+        }
+    ],
+    "https://github.com/dagthomas/comfyui_dagthomas": [
+        [
+            "APNLatent",
+            "ApplyBloom",
+            "CustomPromptLoader",
+            "DynamicStringCombinerNode",
+            "FileReaderNode",
+            "FlexibleStringMergerNode",
+            "GPT4MiniNode",
+            "GPT4VisionNode",
+            "GeminiCustomVision",
+            "Gpt4CustomVision",
+            "Gpt4VisionCloner",
+            "MedianOppositeColorNode",
+            "OllamaNode",
+            "OllamaVisionNode",
+            "PGSD3LatentGenerator",
+            "PhiCustomModelInference",
+            "PhiModelInference",
+            "PhiModelLoader",
+            "ProminentOppositeColorNode",
+            "PromptGenerator",
+            "RandomIntegerNode",
+            "SentenceMixerNode",
+            "StringMergerNode"
+        ],
+        {
+            "title_aux": "SDXL Auto Prompter"
+        }
+    ],
+    "https://github.com/daniabib/ComfyUI_ProPainter_Nodes": [
+        [
+            "ProPainterInpaint",
+            "ProPainterOutpaint"
+        ],
+        {
+            "title_aux": "ComfyUI ProPainter Nodes"
+        }
+    ],
+    "https://github.com/daniel-lewis-ab/ComfyUI-Llama": [
+        [
+            "Call LLM Advanced",
+            "Call LLM Basic",
+            "LLM_Create_Completion Advanced",
+            "LLM_Detokenize",
+            "LLM_Embed",
+            "LLM_Eval",
+            "LLM_Load_State",
+            "LLM_Reset",
+            "LLM_Sample",
+            "LLM_Save_State",
+            "LLM_Token_BOS",
+            "LLM_Token_EOS",
+            "LLM_Tokenize",
+            "Load LLM Model Advanced",
+            "Load LLM Model Basic"
+        ],
+        {
+            "title_aux": "ComfyUI-Llama"
+        }
+    ],
+    "https://github.com/daniel-lewis-ab/ComfyUI-TTS": [
+        [
+            "Load_Piper_Model",
+            "Piper_Speak_Text"
+        ],
+        {
+            "title_aux": "ComfyUI-TTS"
+        }
+    ],
+    "https://github.com/darkpixel/darkprompts": [
+        [
+            "DarkAnyToString",
+            "DarkCheckpointRandomizer",
+            "DarkCheckpointSwitcher",
+            "DarkCombine",
+            "DarkFaceIndexGenerator",
+            "DarkFaceIndexShuffle",
+            "DarkFolders",
+            "DarkLoRALoader",
+            "DarkPrompt"
+        ],
+        {
+            "title_aux": "DarkPrompts"
+        }
+    ],
+    "https://github.com/daryltucker/ComfyUI-LoadFiles": [
+        [
+            "CountLines",
+            "ListFilenames",
+            "LoadImages"
+        ],
+        {
+            "title_aux": "ComfyUI-LoadFiles"
+        }
+    ],
+    "https://github.com/dave-palt/comfyui_DSP_imagehelpers": [
+        [
+            "dsp-imagehelpers-concat"
+        ],
+        {
+            "title_aux": "comfyui_DSP_imagehelpers"
+        }
+    ],
+    "https://github.com/dawangraoming/ComfyUI_ksampler_gpu/raw/main/ksampler_gpu.py": [
+        [
+            "KSamplerAdvancedGPU",
+            "KSamplerGPU"
+        ],
+        {
+            "title_aux": "KSampler GPU"
+        }
+    ],
+    "https://github.com/daxcay/ComfyUI-DataSet": [
+        [
+            "DataSet_ConceptManager",
+            "DataSet_CopyFiles",
+            "DataSet_FindAndReplace",
+            "DataSet_LoadImage",
+            "DataSet_OpenAIChat",
+            "DataSet_OpenAIChatImage",
+            "DataSet_OpenAIChatImageBatch",
+            "DataSet_PathSelector",
+            "DataSet_SaveImage",
+            "DataSet_TextFilesLoad",
+            "DataSet_TextFilesLoadFromList",
+            "DataSet_TextFilesSave",
+            "DataSet_TriggerWords",
+            "DataSet_Visualizer"
+        ],
+        {
+            "author": "Daxton Caylor",
+            "description": "Data Research, Preparation, and Manipulation Nodes for Model Trainers, Artists, Designers, and Animators.",
+            "nickname": "ComfyUI-DataSet",
+            "title": "ComfyUI-DataSet",
+            "title_aux": "ComfyUI-DataSet"
+        }
+    ],
+    "https://github.com/daxcay/ComfyUI-JDCN": [
+        [
+            "JDCN_AnyCheckpointLoader",
+            "JDCN_AnyFileList",
+            "JDCN_AnyFileListHelper",
+            "JDCN_AnyFileListRandom",
+            "JDCN_AnyFileSelector",
+            "JDCN_BatchCounter",
+            "JDCN_BatchCounterAdvance",
+            "JDCN_BatchImageLoadFromDir",
+            "JDCN_BatchImageLoadFromList",
+            "JDCN_BatchLatentLoadFromDir",
+            "JDCN_BatchLatentLoadFromList",
+            "JDCN_BatchSaveLatent",
+            "JDCN_BoolInt",
+            "JDCN_EnableDisable",
+            "JDCN_FileMover",
+            "JDCN_ImageSaver",
+            "JDCN_ListToString",
+            "JDCN_ReBatch",
+            "JDCN_SeamlessExperience",
+            "JDCN_ShowAny",
+            "JDCN_SplitString",
+            "JDCN_StringManipulator",
+            "JDCN_StringToList",
+            "JDCN_SwapInputs",
+            "JDCN_TXTFileSaver",
+            "JDCN_VHSFileMover"
+        ],
+        {
+            "author": "Daxton Caylor & Jerry Davos",
+            "description": "Custom Utility Nodes for Artists, Designers and Animators.",
+            "nickname": "ComfyUI-JDCN",
+            "title": "ComfyUI-JDCN",
+            "title_aux": "ComfyUI-JDCN"
+        }
+    ],
+    "https://github.com/daxcay/ComfyUI-TG": [
+        [
+            "TG_ImageSaver"
+        ],
+        {
+            "author": "Daxton Caylor",
+            "description": "This node enables someone to run comfyui in telegram.",
+            "nickname": "ComfyUI-TG",
+            "title": "ComfyUI-TG",
+            "title_aux": "ComfyUI-TG"
+        }
+    ],
+    "https://github.com/daxcay/ComfyUI-WA": [
+        [
+            "WA_ImageSaver"
+        ],
+        {
+            "author": "Daxton Caylor",
+            "description": "This node enables someone to run comfyui in whatsapp.",
+            "nickname": "ComfyUI-WA",
+            "title": "ComfyUI-WA",
+            "title_aux": "ComfyUI-WA"
+        }
+    ],
+    "https://github.com/daxthin/DZ-FaceDetailer": [
+        [
+            "DZ_Face_Detailer"
+        ],
+        {
+            "title_aux": "DZ-FaceDetailer"
+        }
+    ],
+    "https://github.com/dchatel/comfyui_davcha": [
+        [
+            "ConditioningCompress",
+            "DStack",
+            "DavchaCLIPMergeSimple",
+            "DavchaConditioningConcat",
+            "DavchaModelMergeSD1",
+            "DavchaModelMergeSDXL",
+            "DavchaModelMergeSimple",
+            "PercentPadding",
+            "ResizeCropFit",
+            "SmartMask",
+            "SoftErosion",
+            "StringScheduleHelper"
+        ],
+        {
+            "title_aux": "comfyui_davcha"
+        }
+    ],
+    "https://github.com/dchatel/comfyui_facetools": [
+        [
+            "BiSeNetMask",
+            "CropFaces",
+            "DetectFaces",
+            "GenderFaceFilter",
+            "JonathandinuMask",
+            "MergeWarps",
+            "OrderedFaceFilter",
+            "WarpFacesBack"
+        ],
+        {
+            "title_aux": "comfyui_facetools"
+        }
+    ],
+    "https://github.com/denfrost/Den_ComfyUI_Workflow": [
+        [
+            "Den_BatchIndex_AS",
+            "Den_CropImage_AS",
+            "Den_Eval_AS",
+            "Den_FaceRestoreCFWithModel",
+            "Den_GPTLoaderSimple_llama",
+            "Den_GPTSampler_llama",
+            "Den_ImageMixMasked_As",
+            "Den_ImageToLatentSpace",
+            "Den_ImageToMask_AS",
+            "Den_Int2Any_AS",
+            "Den_LatentAdd_AS",
+            "Den_LatentMixMasked_As",
+            "Den_LatentMix_AS",
+            "Den_LatentToImages_AS",
+            "Den_LoadLatent_AS",
+            "Den_MapRange_AS",
+            "Den_MaskToImage_AS",
+            "Den_Math_AS",
+            "Den_NoiseImage_AS",
+            "Den_Number2Float_AS",
+            "Den_Number2Int_AS",
+            "Den_Number_AS",
+            "Den_SVD_img2vid",
+            "Den_SaveLatent_AS",
+            "Den_TextToImage_AS",
+            "Den_TextWildcardList_AS",
+            "Increment_AS"
+        ],
+        {
+            "title_aux": "Den_ComfyUI_Workflows"
+        }
+    ],
+    "https://github.com/deroberon/StableZero123-comfyui": [
+        [
+            "SDZero ImageSplit",
+            "Stablezero123",
+            "Stablezero123WithDepth"
+        ],
+        {
+            "title_aux": "StableZero123-comfyui"
+        }
+    ],
+    "https://github.com/deroberon/demofusion-comfyui": [
+        [
+            "Batch Unsampler",
+            "Demofusion",
+            "Demofusion From Single File",
+            "Iterative Mixing KSampler"
+        ],
+        {
+            "title_aux": "demofusion-comfyui"
+        }
+    ],
+    "https://github.com/dfl/comfyui-clip-with-break": [
+        [
+            "AdvancedCLIPTextEncodeWithBreak",
+            "CLIPTextEncodeWithBreak"
+        ],
+        {
+            "author": "dfl",
+            "description": "CLIP text encoder that does BREAK prompting like A1111",
+            "nickname": "CLIP with BREAK",
+            "title": "CLIP with BREAK syntax",
+            "title_aux": "CLIP with BREAK syntax"
+        }
+    ],
+    "https://github.com/dfl/comfyui-tcd-scheduler": [
+        [
+            "SamplerTCD",
+            "SamplerTCD EulerA",
+            "TCDScheduler"
+        ],
+        {
+            "title_aux": "ComfyUI-TCD-scheduler"
+        }
+    ],
+    "https://github.com/diStyApps/ComfyUI_FrameMaker": [
+        [
+            "FrameMaker",
+            "FrameMakerBatch"
+        ],
+        {
+            "title_aux": "ComfyUI Frame Maker"
+        }
+    ],
+    "https://github.com/dicksondickson/ComfyUI-Dickson-Nodes": [
+        [
+            "DicksonColorMatch",
+            "DicksonLoadImage",
+            "Dickson_TTP_Preprocessor_Simple",
+            "Dickson_TTP_Preprocessor_cufoff",
+            "Dickson_TTP_Tile_Preprocessor_GF"
+        ],
+        {
+            "description": "This is a set of custom nodes that I've either written myself or adapted from other authors for my own convenience. Currently includes color matching node forked from StableSR and TTPlanet's controlnet preprocessor. https://github.com/dicksondickson",
+            "nickname": "Dickson Nodes",
+            "title": "Dickson Nodes",
+            "title_aux": "ComfyUI-Dickson-Nodes"
+        }
+    ],
+    "https://github.com/digitaljohn/comfyui-propost": [
+        [
+            "ProPostApplyLUT",
+            "ProPostDepthMapBlur",
+            "ProPostFilmGrain",
+            "ProPostRadialBlur",
+            "ProPostVignette"
+        ],
+        {
+            "title_aux": "ComfyUI-ProPost"
+        }
+    ],
+    "https://github.com/dimtoneff/ComfyUI-PixelArt-Detector": [
+        [
+            "PixelArtAddDitherPattern",
+            "PixelArtDetectorConverter",
+            "PixelArtDetectorSave",
+            "PixelArtDetectorToImage",
+            "PixelArtLoadPalettes"
+        ],
+        {
+            "title_aux": "ComfyUI PixelArt Detector"
+        }
+    ],
+    "https://github.com/diontimmer/ComfyUI-Vextra-Nodes": [
+        [
+            "Add Text To Image",
+            "Apply Instagram Filter",
+            "Create Solid Color",
+            "Flatten Colors",
+            "Generate Noise Image",
+            "GlitchThis Effect",
+            "Hue Rotation",
+            "Load Picture Index",
+            "Pixel Sort",
+            "Play Sound At Execution",
+            "Prettify Prompt Using distilgpt2",
+            "Swap Color Mode"
+        ],
+        {
+            "title_aux": "ComfyUI-Vextra-Nodes"
+        }
+    ],
+    "https://github.com/discopixel-studio/comfyui-discopixel": [
+        [
+            "TransformTemplateOntoFaceMask"
+        ],
+        {
+            "author": "Anson Kao",
+            "description": "A small collection of custom nodes for use with ComfyUI, by Discopixel",
+            "nickname": "ComfyUI Discopixel",
+            "title": "ComfyUI Discopixel",
+            "title_aux": "ComfyUI Discopixel Nodes"
+        }
+    ],
+    "https://github.com/discus0434/comfyui-caching-embeddings": [
+        [
+            "CachingCLIPTextEncode"
+        ],
+        {
+            "title_aux": "ComfyUI Caching Embeddings"
+        }
+    ],
+    "https://github.com/djbielejeski/a-person-mask-generator": [
+        [
+            "APersonFaceLandmarkMaskGenerator",
+            "APersonMaskGenerator"
+        ],
+        {
+            "title_aux": "a-person-mask-generator"
+        }
+    ],
+    "https://github.com/dmMaze/sketch2manga": [
+        [
+            "BlendScreentone",
+            "EmptyLatentImageAdvanced"
+        ],
+        {
+            "title_aux": "Sketch2Manga"
+        }
+    ],
+    "https://github.com/dmarx/ComfyUI-AudioReactive": [
+        [
+            "OpAbs",
+            "OpBandpass",
+            "OpClamp",
+            "OpHarmonic",
+            "OpModulo",
+            "OpNormalize",
+            "OpNovelty",
+            "OpPercussive",
+            "OpPow",
+            "OpPow2",
+            "OpPredominant_pulse",
+            "OpQuantize",
+            "OpRms",
+            "OpSmoosh",
+            "OpSmooth",
+            "OpSqrt",
+            "OpStretch",
+            "OpSustain",
+            "OpThreshold"
+        ],
+        {
+            "title_aux": "ComfyUI-AudioReactive"
+        }
+    ],
+    "https://github.com/dmarx/ComfyUI-Keyframed": [
+        [
+            "Example",
+            "KfAddCurveToPGroup",
+            "KfAddCurveToPGroupx10",
+            "KfApplyCurveToCond",
+            "KfConditioningAdd",
+            "KfConditioningAddx10",
+            "KfCurveConstant",
+            "KfCurveDraw",
+            "KfCurveFromString",
+            "KfCurveFromYAML",
+            "KfCurveInverse",
+            "KfCurveToAcnLatentKeyframe",
+            "KfCurvesAdd",
+            "KfCurvesAddx10",
+            "KfCurvesDivide",
+            "KfCurvesMultiply",
+            "KfCurvesMultiplyx10",
+            "KfCurvesSubtract",
+            "KfDebug_Clip",
+            "KfDebug_Cond",
+            "KfDebug_Curve",
+            "KfDebug_Float",
+            "KfDebug_Image",
+            "KfDebug_Int",
+            "KfDebug_Latent",
+            "KfDebug_Model",
+            "KfDebug_Passthrough",
+            "KfDebug_Segs",
+            "KfDebug_String",
+            "KfDebug_Vae",
+            "KfDrawSchedule",
+            "KfEvaluateCurveAtT",
+            "KfGetCurveFromPGroup",
+            "KfGetScheduleConditionAtTime",
+            "KfGetScheduleConditionSlice",
+            "KfKeyframedCondition",
+            "KfKeyframedConditionWithText",
+            "KfPGroupCurveAdd",
+            "KfPGroupCurveMultiply",
+            "KfPGroupDraw",
+            "KfPGroupProd",
+            "KfPGroupSum",
+            "KfSetCurveLabel",
+            "KfSetKeyframe",
+            "KfSinusoidalAdjustAmplitude",
+            "KfSinusoidalAdjustFrequency",
+            "KfSinusoidalAdjustPhase",
+            "KfSinusoidalAdjustWavelength",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx2",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx3",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx4",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx5",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx6",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx7",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx8",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx9",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx2",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx3",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx4",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx5",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx6",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx7",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx8",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx9",
+            "KfSinusoidalGetAmplitude",
+            "KfSinusoidalGetFrequency",
+            "KfSinusoidalGetPhase",
+            "KfSinusoidalGetWavelength",
+            "KfSinusoidalWithFrequency",
+            "KfSinusoidalWithWavelength"
+        ],
+        {
+            "title_aux": "ComfyUI-Keyframed"
+        }
+    ],
+    "https://github.com/doomy23/ComfyUI-D00MYsNodes": [
+        [
+            "Images_Converter|D00MYs",
+            "JSPaint|D00MYs",
+            "Load_Images_From_Paths|D00MYs",
+            "Random_Images|D00MYs",
+            "Save_Images|D00MYs",
+            "Save_Text|D00MYs",
+            "Show_Text|D00MYs",
+            "Strings_From_List|D00MYs"
+        ],
+        {
+            "title_aux": "ComfyUI-D00MYsNodes"
+        }
+    ],
+    "https://github.com/drago87/ComfyUI_Dragos_Nodes": [
+        [
+            "file_padding",
+            "image_info",
+            "lora_loader",
+            "vae_loader"
+        ],
+        {
+            "title_aux": "ComfyUI_Dragos_Nodes"
+        }
+    ],
+    "https://github.com/drmbt/comfyui-dreambait-nodes": [
+        [
+            "DRMBT_AspectPadImageForOutpainting",
+            "DRMBT_LoadMedia",
+            "DRMBT_Model_Context_Selector",
+            "DRMBT_MultiMinMax",
+            "DRMBT_String_Item_Menu"
+        ],
+        {
+            "title_aux": "comfyui-dreambait-nodes"
+        }
+    ],
+    "https://github.com/drustan-hawk/primitive-types": [
+        [
+            "float",
+            "int",
+            "string",
+            "string_multiline"
+        ],
+        {
+            "title_aux": "primitive-types"
+        }
+    ],
+    "https://github.com/ducido/ObjectFusion_ComfyUI_nodes": [
+        [
+            "Custom ESAM_ModelLoader_Zho",
+            "Custom Generate Stable Diffsution Prompt With LLM",
+            "Custom Yoloworld_ESAM_Zho",
+            "Custom Yoloworld_ModelLoader_Zho",
+            "ObjectCrop"
+        ],
+        {
+            "title_aux": "ObjectFusion_ComfyUI_nodes"
+        }
+    ],
+    "https://github.com/e7mac/ComfyUI-ShadertoyGL": [
+        [
+            "ColorChannelOffset",
+            "Shader",
+            "Shadertoy"
+        ],
+        {
+            "title_aux": "ComfyUI-ShadertoyGL"
+        }
+    ],
+    "https://github.com/ealkanat/comfyui_easy_padding": [
+        [
+            "comfyui-easy-padding"
+        ],
+        {
+            "title_aux": "ComfyUI Easy Padding"
+        }
+    ],
+    "https://github.com/eastoc/ComfyUI_SemanticSAM": [
+        [
+            "PointPrompt",
+            "SemanticSAMLoader",
+            "SemanticSAMSegment"
+        ],
+        {
+            "title_aux": "Semantic-SAM"
+        }
+    ],
+    "https://github.com/edenartlab/eden_comfy_pipelines": [
+        [
+            "Animation_RGB_Mask",
+            "AspectPadImageForOutpainting",
+            "CLIP_Interrogator",
+            "ConvertToGrayscale",
+            "DepthSlicer",
+            "Eden_Bool",
+            "Eden_Compare",
+            "Eden_DebugPrint",
+            "Eden_Float",
+            "Eden_IMG_padder",
+            "Eden_IMG_unpadder",
+            "Eden_Int",
+            "Eden_MaskBoundingBox",
+            "Eden_String",
+            "Eden_gpt4_node",
+            "FolderScanner",
+            "GetRandomFile",
+            "Get_Prefixed_Imgs",
+            "HistogramMatching",
+            "IMG_blender",
+            "IMG_resolution_multiple_of",
+            "IMG_scaler",
+            "If ANY execute A else B",
+            "ImageDescriptionNode",
+            "LatentTypeConversion",
+            "Linear_Combine_IP_Embeds",
+            "LoadImagesByFilename",
+            "LoadRandomImage",
+            "Load_Embeddings_From_Folder",
+            "MaskFromRGB",
+            "MaskFromRGB_KMeans",
+            "ParallaxZoom",
+            "Random_Style_Mixture",
+            "SaveImageAdvanced",
+            "SavePosEmbeds",
+            "VAEDecode_to_folder",
+            "VideoFrameSelector",
+            "WidthHeightPicker"
+        ],
+        {
+            "title_aux": "Eden.art nodesuite"
+        }
+    ],
+    "https://github.com/edenartlab/sd-lora-trainer": [
+        [
+            "Eden_LoRa_trainer"
+        ],
+        {
+            "title_aux": "Eden.art LoRa Trainer"
+        }
+    ],
+    "https://github.com/emojiiii/ComfyUI_Emojiiii_Custom_Nodes": [
+        [
+            "BatchImageProcessor",
+            "Caption",
+            "CaptionDownload",
+            "KolorsMultiTextEncode",
+            "MultiTextEncode"
+        ],
+        {
+            "title_aux": "ComfyUI_Emojiiii_Custom_Nodes"
+        }
+    ],
+    "https://github.com/erosDiffusion/ComfyUI-enricos-nodes": [
+        [
+            "Compositor",
+            "CompositorConfig"
+        ],
+        {
+            "title_aux": "Compositor Node"
+        }
+    ],
+    "https://github.com/evanspearman/ComfyMath": [
+        [
+            "CM_BoolBinaryOperation",
+            "CM_BoolToInt",
+            "CM_BoolUnaryOperation",
+            "CM_BreakoutVec2",
+            "CM_BreakoutVec3",
+            "CM_BreakoutVec4",
+            "CM_ComposeVec2",
+            "CM_ComposeVec3",
+            "CM_ComposeVec4",
+            "CM_FloatBinaryCondition",
+            "CM_FloatBinaryOperation",
+            "CM_FloatToInt",
+            "CM_FloatToNumber",
+            "CM_FloatUnaryCondition",
+            "CM_FloatUnaryOperation",
+            "CM_IntBinaryCondition",
+            "CM_IntBinaryOperation",
+            "CM_IntToBool",
+            "CM_IntToFloat",
+            "CM_IntToNumber",
+            "CM_IntUnaryCondition",
+            "CM_IntUnaryOperation",
+            "CM_NearestSDXLExtendedResolution",
+            "CM_NearestSDXLResolution",
+            "CM_NumberBinaryCondition",
+            "CM_NumberBinaryOperation",
+            "CM_NumberToFloat",
+            "CM_NumberToInt",
+            "CM_NumberUnaryCondition",
+            "CM_NumberUnaryOperation",
+            "CM_SDXLExtendedResolution",
+            "CM_SDXLResolution",
+            "CM_Vec2BinaryCondition",
+            "CM_Vec2BinaryOperation",
+            "CM_Vec2ScalarOperation",
+            "CM_Vec2ToScalarBinaryOperation",
+            "CM_Vec2ToScalarUnaryOperation",
+            "CM_Vec2UnaryCondition",
+            "CM_Vec2UnaryOperation",
+            "CM_Vec3BinaryCondition",
+            "CM_Vec3BinaryOperation",
+            "CM_Vec3ScalarOperation",
+            "CM_Vec3ToScalarBinaryOperation",
+            "CM_Vec3ToScalarUnaryOperation",
+            "CM_Vec3UnaryCondition",
+            "CM_Vec3UnaryOperation",
+            "CM_Vec4BinaryCondition",
+            "CM_Vec4BinaryOperation",
+            "CM_Vec4ScalarOperation",
+            "CM_Vec4ToScalarBinaryOperation",
+            "CM_Vec4ToScalarUnaryOperation",
+            "CM_Vec4UnaryCondition",
+            "CM_Vec4UnaryOperation"
+        ],
+        {
+            "title_aux": "ComfyMath"
+        }
+    ],
+    "https://github.com/exdysa/comfyui-selector": [
+        [
+            "Fork",
+            "ForkClip",
+            "Recourse",
+            "Recourse+/-",
+            "RecourseCkpt",
+            "RecourseImage",
+            "Selector",
+            "Unite"
+        ],
+        {
+            "author": "\"\u02f6\ud835\udfa2\u292c\u2ad2\u2d56s\u143c\u02f6\"",
+            "description": "\"EXDYSA. Selector and Recourse. Presets & failsafes. Work flow.\"",
+            "nickname": "\"Selector\"",
+            "title": "\"Selector\"",
+            "title_aux": "comfyui-selector"
+        }
+    ],
+    "https://github.com/fablestudio/ComfyUI-Showrunner-Utils": [
+        [
+            "AlignFace"
+        ],
+        {
+            "title_aux": "ComfyUI-Showrunner-Utils"
+        }
+    ],
+    "https://github.com/fairy-root/Flux-Prompt-Generator": [
+        [
+            "FluxPromptGenerator"
+        ],
+        {
+            "title_aux": "Flux Prompt Generator for ComfyUI"
+        }
+    ],
+    "https://github.com/fairy-root/comfyui-ollama-llms": [
+        [
+            "ConcatenateText",
+            "llava",
+            "ollama"
+        ],
+        {
+            "title_aux": "Ollama and Llava Vision integration for ComfyUI"
+        }
+    ],
+    "https://github.com/fearnworks/ComfyUI_FearnworksNodes": [
+        [
+            "Count Files in Directory (FW)",
+            "Count Tokens (FW)",
+            "CountTokens",
+            "FileCountInDirectory",
+            "Token Count Ranker(FW)",
+            "TokenCountRanker",
+            "Trim To Tokens (FW)",
+            "TrimToTokens"
+        ],
+        {
+            "title_aux": "Fearnworks Nodes"
+        }
+    ],
+    "https://github.com/fexli/fexli-util-node-comfyui": [
+        [
+            "FEBCPrompt",
+            "FEBatchGenStringBCDocker",
+            "FEColor2Image",
+            "FEColorOut",
+            "FEDataInsertor",
+            "FEDataPacker",
+            "FEDataUnpacker",
+            "FEDeepClone",
+            "FEDictPacker",
+            "FEDictUnpacker",
+            "FEEncLoraLoader",
+            "FEExtraInfoAdd",
+            "FEGenStringBCDocker",
+            "FEGenStringGPT",
+            "FEImageNoiseGenerate",
+            "FEImagePadForOutpaint",
+            "FEImagePadForOutpaintByImage",
+            "FEOperatorIf",
+            "FEPythonStrOp",
+            "FERandomBool",
+            "FERandomLoraSelect",
+            "FERandomPrompt",
+            "FERandomizedColor2Image",
+            "FERandomizedColorOut",
+            "FERerouteWithName",
+            "FESaveEncryptImage",
+            "FETextCombine",
+            "FETextCombine2Any",
+            "FETextInput"
+        ],
+        {
+            "title_aux": "fexli-util-node-comfyui"
+        }
+    ],
+    "https://github.com/fexploit/ComfyUI-AutoLabel": [
+        [
+            "AutoLabel"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoLabel"
+        }
+    ],
+    "https://github.com/fexploit/ComfyUI-AutoTrimBG": [
+        [
+            "RonLayers/TrimBg: RonLayersTrimBgUltraV2"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoTrimBG"
+        }
+    ],
+    "https://github.com/fexploit/ComfyUI-Classifier": [
+        [
+            "ClassifierNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Classifier"
+        }
+    ],
+    "https://github.com/filipemeneses/comfy_pixelization": [
+        [
+            "Pixelization"
+        ],
+        {
+            "title_aux": "Pixelization"
+        }
+    ],
+    "https://github.com/filliptm/ComfyUI_FL-Trainer": [
+        [
+            "FL_ImageCaptionSaver",
+            "FL_KohyaSSAdvConfig",
+            "FL_KohyaSSDatasetConfig",
+            "FL_KohyaSSInitWorkspace",
+            "FL_KohyaSSTrain",
+            "FL_Kohya_EasyTrain",
+            "FL_LoadImagesFromDirectoryPath",
+            "FL_SliderLoraAdvConfig",
+            "FL_SliderLoraDatasetConfig",
+            "FL_SliderLoraInitWorkspace",
+            "FL_SliderLoraTrain"
+        ],
+        {
+            "title_aux": "ComfyUI_FL-Trainer"
+        }
+    ],
+    "https://github.com/filliptm/ComfyUI_Fill-Nodes": [
+        [
+            "FL_Ascii",
+            "FL_BatchAlign",
+            "FL_BulkPDFLoader",
+            "FL_BulletHellGame",
+            "FL_CaptionToCSV",
+            "FL_CodeNode",
+            "FL_ColorPicker",
+            "FL_Dalle3",
+            "FL_DirectoryCrawl",
+            "FL_Dither",
+            "FL_FractalKSampler",
+            "FL_GPT_Vision",
+            "FL_Glitch",
+            "FL_GradGenerator",
+            "FL_HFHubModelUploader",
+            "FL_HF_Character",
+            "FL_HalftonePattern",
+            "FL_HexagonalPattern",
+            "FL_ImageCaptionLayout",
+            "FL_ImageCaptionLayoutPDF",
+            "FL_ImageCaptionSaver",
+            "FL_ImageCollage",
+            "FL_ImageDimensionDisplay",
+            "FL_ImageNotes",
+            "FL_ImagePixelator",
+            "FL_ImageRandomizer",
+            "FL_ImagesToPDF",
+            "FL_InfiniteZoom",
+            "FL_InpaintCrop",
+            "FL_Inpaint_Stitch",
+            "FL_KSamplerXYZPlot",
+            "FL_KsamplerBasic",
+            "FL_KsamplerPlus",
+            "FL_KsamplerSettings",
+            "FL_LoadImage",
+            "FL_MirrorAndAppendCaptions",
+            "FL_NFTGenerator",
+            "FL_OllamaCaptioner",
+            "FL_PDFImageExtractor",
+            "FL_PDFLoader",
+            "FL_PDFMerger",
+            "FL_PDFSaver",
+            "FL_PDFTextExtractor",
+            "FL_PDFToImages",
+            "FL_PaperDrawn",
+            "FL_PasteOnCanvas",
+            "FL_PixelArtShader",
+            "FL_PixelSort",
+            "FL_PromptSelector",
+            "FL_RandomNumber",
+            "FL_RetroEffect",
+            "FL_Ripple",
+            "FL_SDUltimate_Slices",
+            "FL_SamplerStrings",
+            "FL_SaveAndDisplayImage",
+            "FL_SaveCSV",
+            "FL_SaveImages",
+            "FL_SchedulerStrings",
+            "FL_SendToDiscordWebhook",
+            "FL_SeparateMaskComponents",
+            "FL_Shadertoy",
+            "FL_SimpleGPTVision",
+            "FL_SystemCheck",
+            "FL_TetrisGame",
+            "FL_TimeLine",
+            "FL_UpscaleModel",
+            "FL_VideoCropMask",
+            "FL_VideoRecompose",
+            "FL_ZipDirectory",
+            "FL_ZipSave",
+            "GradientImageGenerator"
+        ],
+        {
+            "title_aux": "ComfyUI_Fill-Nodes"
+        }
+    ],
+    "https://github.com/fitCorder/fcSuite/raw/main/fcSuite.py": [
+        [
+            "fcFloat",
+            "fcFloatMatic",
+            "fcHex",
+            "fcInteger"
+        ],
+        {
+            "title_aux": "fcSuite"
+        }
+    ],
+    "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed": [
+        [
+            "AdvancedSequenceSeedNode"
+        ],
+        {
+            "title_aux": "Advanced Sequence Seed Generator"
+        }
+    ],
+    "https://github.com/florestefano1975/ComfyUI-HiDiffusion": [
+        [
+            "HiDiffusionSD15",
+            "HiDiffusionSD21",
+            "HiDiffusionSDXL",
+            "HiDiffusionSDXLTurbo"
+        ],
+        {
+            "title_aux": "ComfyUI HiDiffusion"
+        }
+    ],
+    "https://github.com/florestefano1975/ComfyUI-StabilityAI-Suite": [
+        [
+            "StabilityAI Suite - Creative Upscale",
+            "StabilityAI Suite - Creative Upscale Recover File",
+            "StabilityAI Suite - Image Core + Style Preset",
+            "StabilityAI Suite - Inpainting",
+            "StabilityAI Suite - Outpainting",
+            "StabilityAI Suite - Remove Background",
+            "StabilityAI Suite - SD3",
+            "StabilityAI Suite - Search and Replace"
+        ],
+        {
+            "title_aux": "ComfyUI StabilityAI Suite"
+        }
+    ],
+    "https://github.com/florestefano1975/comfyui-portrait-master": [
+        [
+            "PortraitMaster",
+            "PortraitMasterBaseCharacter",
+            "PortraitMasterMakeup",
+            "PortraitMasterSkinDetails",
+            "PortraitMasterStylePose"
+        ],
+        {
+            "title_aux": "comfyui-portrait-master"
+        }
+    ],
+    "https://github.com/florestefano1975/comfyui-prompt-composer": [
+        [
+            "PromptComposerCustomLists",
+            "PromptComposerEffect",
+            "PromptComposerGrouping",
+            "PromptComposerMerge",
+            "PromptComposerStyler",
+            "PromptComposerTextSingle",
+            "promptComposerTextMultiple"
+        ],
+        {
+            "title_aux": "comfyui-prompt-composer"
+        }
+    ],
+    "https://github.com/flowtyone/ComfyUI-Flowty-CRM": [
+        [
+            "CCMSampler",
+            "CRMModelLoader",
+            "CRMModeler",
+            "CRMModelerCuda",
+            "CRMPoseSampler",
+            "CRMPoserConfig",
+            "CRMPreprocessForPoser",
+            "CRMViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Flowty-CRM"
+        }
+    ],
+    "https://github.com/flowtyone/ComfyUI-Flowty-LDSR": [
+        [
+            "LDSRModelLoader",
+            "LDSRUpscale",
+            "LDSRUpscaler"
+        ],
+        {
+            "title_aux": "ComfyUI-Flowty-LDSR"
+        }
+    ],
+    "https://github.com/flowtyone/ComfyUI-Flowty-TripoSR": [
+        [
+            "TripoSRModelLoader",
+            "TripoSRSampler",
+            "TripoSRViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Flowty-TripoSR"
+        }
+    ],
+    "https://github.com/flyingshutter/As_ComfyUI_CustomNodes": [
+        [
+            "BatchIndex_AS",
+            "CropImage_AS",
+            "Eval_AS",
+            "ImageMixMasked_As",
+            "ImageToMask_AS",
+            "Increment_AS",
+            "Int2Any_AS",
+            "LatentAdd_AS",
+            "LatentMixMasked_As",
+            "LatentMix_AS",
+            "LatentToImages_AS",
+            "LoadLatent_AS",
+            "MapRange_AS",
+            "MaskToImage_AS",
+            "Math_AS",
+            "NoiseImage_AS",
+            "Number2Float_AS",
+            "Number2Int_AS",
+            "Number_AS",
+            "SaveLatent_AS",
+            "TextToImage_AS",
+            "TextWildcardList_AS"
+        ],
+        {
+            "title_aux": "As_ComfyUI_CustomNodes"
+        }
+    ],
+    "https://github.com/fmatray/ComfyUI_BattlemapGrid": [
+        [
+            "Battlemap Grid",
+            "Compass",
+            "Map Generator",
+            "Map Generator(Outdoors)"
+        ],
+        {
+            "title_aux": "ComfyUI_BattlemapGrid"
+        }
+    ],
+    "https://github.com/fofr/ComfyUI-HyperSDXL1StepUnetScheduler": [
+        [
+            "HyperSDXL1StepUnetScheduler"
+        ],
+        {
+            "title_aux": "ComfyUI-HyperSDXL1StepUnetScheduler (ByteDance)"
+        }
+    ],
+    "https://github.com/fofr/ComfyUI-Prompter-fofrAI": [
+        [
+            "List sampler \ud83e\udeb4",
+            "Prompt from template \ud83e\udeb4"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompter-fofrAI"
+        }
+    ],
+    "https://github.com/fofr/comfyui-fofr-toolkit": [
+        [
+            "Incrementer \ud83e\udeb4",
+            "Width and height for scaling image to ideal resolution \ud83e\udeb4",
+            "Width and height from aspect ratio \ud83e\udeb4"
+        ],
+        {
+            "title_aux": "comfyui-fofr-toolkit"
+        }
+    ],
+    "https://github.com/forever22777/comfyui-self-guidance": [
+        [
+            "CLIPConditioning",
+            "CheckpointLoaderMixWithDiffusers",
+            "SelfGuidanceSampler"
+        ],
+        {
+            "title_aux": "Self-Guidance nodes"
+        }
+    ],
+    "https://github.com/foxtrot-roger/comfyui-rf-nodes": [
+        [
+            "LogBool",
+            "LogFloat",
+            "LogInt",
+            "LogNumber",
+            "LogString",
+            "LogVec2",
+            "LogVec3",
+            "RF_AtIndexString",
+            "RF_BoolToString",
+            "RF_FloatToString",
+            "RF_IntToString",
+            "RF_JsonStyleLoader",
+            "RF_MergeLines",
+            "RF_NumberToString",
+            "RF_OptionsString",
+            "RF_RangeFloat",
+            "RF_RangeInt",
+            "RF_RangeNumber",
+            "RF_SavePromptInfo",
+            "RF_SplitLines",
+            "RF_TextConcatenate",
+            "RF_TextInput",
+            "RF_TextReplace",
+            "RF_Timestamp",
+            "RF_ToString",
+            "RF_Vec2ToString",
+            "RF_Vec3ToString",
+            "TextLine"
+        ],
+        {
+            "title_aux": "RF Nodes"
+        }
+    ],
+    "https://github.com/frankchieng/ComfyUI_Aniportrait": [
+        [
+            "AniPortrait_Audio2Video",
+            "AniPortrait_Audio_Path",
+            "AniPortrait_LoadVideoPath",
+            "AniPortrait_Pose_Gen_Video",
+            "AniPortrait_Ref_Image_Path",
+            "AniPortrait_Video_Gen_Pose"
+        ],
+        {
+            "title_aux": "ComfyUI_Aniportrait"
+        }
+    ],
+    "https://github.com/frankchieng/ComfyUI_MagicClothing": [
+        [
+            "MagicClothing_Animatediff",
+            "MagicClothing_Generate",
+            "MagicClothing_Inpainting"
+        ],
+        {
+            "title_aux": "ComfyUI_MagicClothing"
+        }
+    ],
+    "https://github.com/frankchieng/ComfyUI_llm_easyanimiate": [
+        [],
+        {
+            "nodename_pattern": "^FrankChiengEasyAnimate",
+            "title_aux": "ComfyUI_llm_easyanimiate"
+        }
+    ],
+    "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG": [
+        [
+            "ImageMask2PNG"
+        ],
+        {
+            "title_aux": "ComfyUI-ImgMask2PNG"
+        }
+    ],
+    "https://github.com/fsdymy1024/ComfyUI_fsdymy": [
+        [
+            "IPAdapterLayerWeight",
+            "Preview Image Without Metadata",
+            "PreviewImageWithoutMetadata",
+            "Save Image Without Metadata",
+            "SaveImageWithoutMetadata",
+            "ShowText",
+            "ZhiPuAiNode"
+        ],
+        {
+            "title_aux": "ComfyUI_fsdymy"
+        }
+    ],
+    "https://github.com/fssorc/ComfyUI_FaceShaper": [
+        [
+            "FaceAlignmentCropper",
+            "FaceShaper",
+            "FaceShaperComposite",
+            "FaceShaperCropper",
+            "FaceShaperLoadInsightFaceCropper",
+            "FaceShaperLoadMediaPipeCropper",
+            "FaceShaperMatchV2",
+            "FaceShaperModels",
+            "FaceShaperShowLandMarks"
+        ],
+        {
+            "title_aux": "ComfyUI_FaceShaper"
+        }
+    ],
+    "https://github.com/fssorc/ComfyUI_pose_inter": [
+        [
+            "Pose_Inter"
+        ],
+        {
+            "title_aux": "ComfyUI_pose_inter"
+        }
+    ],
+    "https://github.com/gemell1/ComfyUI_GMIC": [
+        [
+            "GmicCliWrapper",
+            "GmicQtWrapper"
+        ],
+        {
+            "title_aux": "ComfyUI_GMIC"
+        }
+    ],
+    "https://github.com/geocine/geocine-comfyui": [
+        [
+            "Image Scale",
+            "Image Selector",
+            "Seed to Noise"
+        ],
+        {
+            "title_aux": "geocine-comfyui"
+        }
+    ],
+    "https://github.com/get-salt-AI/SaltAI": [
+        [
+            "SAIPrimitiveConverter",
+            "SAIStringRegexSearchMatch",
+            "SAIStringRegexSearchReplace",
+            "SaltAIStableVideoDiffusion",
+            "SaltBatchCropDataExtractor",
+            "SaltCLIPSegLoader",
+            "SaltCLIPSegMasking",
+            "SaltCropImageLocation",
+            "SaltDisplayAny",
+            "SaltImagePasteCrop",
+            "SaltInfo",
+            "SaltInput",
+            "SaltLoadImageZip",
+            "SaltMaskCropRegion",
+            "SaltMasksToImages",
+            "SaltOutput",
+            "SaltRGBAFromMask",
+            "SaltWebsiteScreenshot"
+        ],
+        {
+            "title_aux": "SaltAI-Open-Resources"
+        }
+    ],
+    "https://github.com/get-salt-AI/SaltAI_Language_Toolkit": [
+        [
+            "AddTool",
+            "ChangeSystemMessage",
+            "ClearMemory",
+            "ConversableAgentCreator",
+            "ConversableAgentCreatorAdvanced",
+            "ConvertAgentAsTool",
+            "ConvertAgentToLlamaindex",
+            "CreateTavilySearchTool",
+            "Example",
+            "GenerateReply",
+            "GroupChat",
+            "GroupChatAdvanced",
+            "GroupChatManagerCreator",
+            "LLMCSVReader",
+            "LLMChat",
+            "LLMChatBot",
+            "LLMChatEngine",
+            "LLMChatMessageConcat",
+            "LLMChatMessages",
+            "LLMChatMessagesAdv",
+            "LLMComplete",
+            "LLMCustomNodeComposer",
+            "LLMDirectoryReader",
+            "LLMDocumentListAppend",
+            "LLMDocxReader",
+            "LLMEpubReader",
+            "LLMFlatReader",
+            "LLMHTMLTagReader",
+            "LLMHWPReader",
+            "LLMHtmlComposer",
+            "LLMHtmlRepair",
+            "LLMIPYNBReader",
+            "LLMImageCaptionReader",
+            "LLMImageTabularChartReader",
+            "LLMImageTextReader",
+            "LLMImageVisionLLMReader",
+            "LLMInputToDocuments",
+            "LLMJsonComposer",
+            "LLMJsonRepair",
+            "LLMLLaVANextImageEvaluator",
+            "LLMLLaVANextModelLoader",
+            "LLMMarkdownComposer",
+            "LLMMarkdownReader",
+            "LLMMarkdownRepair",
+            "LLMMboxReader",
+            "LLMMultiModalImageEvaluation",
+            "LLMNotionReader",
+            "LLMOpenAIModel",
+            "LLMOpenAIModelOpts",
+            "LLMPDFReader",
+            "LLMPagedCSVReader",
+            "LLMPandasCSVReader",
+            "LLMParquetDatasetSearcher",
+            "LLMPostProcessDocuments",
+            "LLMPptxReader",
+            "LLMPyMuPDFReader",
+            "LLMQueryEngine",
+            "LLMQueryEngineAdv",
+            "LLMQueryEngineAsTool",
+            "LLMRTFReader",
+            "LLMRegexCreator",
+            "LLMRegexRepair",
+            "LLMRssReaderNode",
+            "LLMSaltWebCrawler",
+            "LLMScaleSERPSearch",
+            "LLMSemanticSplitterNodeParser",
+            "LLMSentenceSplitterNodeCreator",
+            "LLMServiceContextAdv",
+            "LLMServiceContextDefault",
+            "LLMSimpleWebPageReader",
+            "LLMSimpleWebPageReaderAdv",
+            "LLMSummaryIndex",
+            "LLMTavilyResearch",
+            "LLMTrafilaturaWebReader",
+            "LLMTrafilaturaWebReaderAdv",
+            "LLMTreeIndex",
+            "LLMUnstructuredReader",
+            "LLMVectorStoreIndex",
+            "LLMVectorStoreIndexAdv",
+            "LLMVideoAudioReader",
+            "LLMXMLReader",
+            "LLMYamlComposer",
+            "LLMYamlRepair",
+            "SaltJSONQueryEngine",
+            "SendMessage",
+            "SimpleChat"
+        ],
+        {
+            "title_aux": "SaltAI_Language_Toolkit"
+        }
+    ],
+    "https://github.com/giriss/comfy-image-saver": [
+        [
+            "Cfg Literal",
+            "Checkpoint Selector",
+            "Int Literal",
+            "Sampler Selector",
+            "Save Image w/Metadata",
+            "Scheduler Selector",
+            "Seed Generator",
+            "String Literal",
+            "Width/Height Literal"
+        ],
+        {
+            "title_aux": "Save Image with Generation Metadata"
+        }
+    ],
+    "https://github.com/gisu/comfyui-foxpack": [
+        [
+            "Add_To_List",
+            "BaseSamplerSetup",
+            "Big_Prompter",
+            "Change_Entries_In_A_List",
+            "Change_Entry_From_List",
+            "CheckpointMetaExtractor",
+            "CheckpointSelector",
+            "Complete_Setup",
+            "Convert_Into",
+            "Negate_Boolean",
+            "Optional_Value_Override",
+            "OverrideSamplerSetup",
+            "Override_Value_If_Unset",
+            "Pick_Value_From_Dict",
+            "Pick_Values_From_List",
+            "Refine_Prompt",
+            "Refine_Setup",
+            "Remap_Values",
+            "Remove_Values_From_List",
+            "Select_By_Index",
+            "Select_Line_By_Index",
+            "Select_String_By_Index",
+            "SetupSelector",
+            "Show_Type",
+            "Split_Entry_In_2Chunks",
+            "Split_Entry_In_4Chunks",
+            "Split_Entry_In_6Chunks",
+            "Split_Entry_In_8Chunks",
+            "Step_Denoise",
+            "UniversalLatentHelper",
+            "Universal_VAE_Loader"
+        ],
+        {
+            "title_aux": "foxpack"
+        }
+    ],
+    "https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER": [
+        [
+            "ChangeImageBorder"
+        ],
+        {
+            "title_aux": "ComfyUI_Change_IMAGE_BOREDER"
+        }
+    ],
+    "https://github.com/githubYiheng/ComfyUI_GetFileNameFromURL": [
+        [
+            "GetFileNameFromURL"
+        ],
+        {
+            "title_aux": "ComfyUI_GetFileNameFromURL"
+        }
+    ],
+    "https://github.com/githubYiheng/comfyui_kmeans_filter": [
+        [
+            "ImageKmeansFilter"
+        ],
+        {
+            "title_aux": "comfyui_kmeans_filter"
+        }
+    ],
+    "https://github.com/githubYiheng/comfyui_meanshift_filter": [
+        [
+            "ImageMeanshiftFilter"
+        ],
+        {
+            "title_aux": "comfyui_meanshift_filter"
+        }
+    ],
+    "https://github.com/githubYiheng/comfyui_private_postprocessor": [
+        [
+            "ImageCPostprocessor",
+            "PrivateImageMask"
+        ],
+        {
+            "title_aux": "comfyui_private_postprocessor"
+        }
+    ],
+    "https://github.com/glibsonoran/Plush-for-ComfyUI": [
+        [
+            "AI Chooser",
+            "AdvPromptEnhancer",
+            "DalleImage",
+            "Enhancer",
+            "ImgTextSwitch",
+            "Plush-Exif Wrangler",
+            "Tagger",
+            "mulTextSwitch"
+        ],
+        {
+            "title_aux": "Plush-for-ComfyUI"
+        }
+    ],
+    "https://github.com/glifxyz/ComfyUI-GlifNodes": [
+        [
+            "FilmGrain",
+            "GlifConsistencyDecoder",
+            "GlifPatchConsistencyDecoderTiled",
+            "GlifVariable",
+            "HFHubEmbeddingLoader",
+            "HFHubLoraLoader",
+            "ImageToMultipleOf",
+            "SDXLAspectRatio"
+        ],
+        {
+            "title_aux": "ComfyUI-GlifNodes"
+        }
+    ],
+    "https://github.com/glowcone/comfyui-base64-to-image": [
+        [
+            "LoadImageFromBase64"
+        ],
+        {
+            "title_aux": "Load Image From Base64 URI"
+        }
+    ],
+    "https://github.com/glowcone/comfyui-string-converter": [
+        [
+            "StringToFloat",
+            "StringToInt"
+        ],
+        {
+            "title_aux": "String Converter"
+        }
+    ],
+    "https://github.com/goburiin/nsfwrecog-comfyui": [
+        [
+            "NSFWDetectorNode"
+        ],
+        {
+            "title_aux": "nsfwrecog-comfyui"
+        }
+    ],
+    "https://github.com/godspede/ComfyUI_Substring": [
+        [
+            "SubstringTheory"
+        ],
+        {
+            "title_aux": "ComfyUI Substring"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI-Depth-Visualization": [
+        [
+            "DepthViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Depth-Visualization"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI-Dream-Interpreter": [
+        [
+            "DreamViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Dream-Interpreter"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI-Texture-Simple": [
+        [
+            "TextureViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Texture-Simple"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI_VLM_nodes": [
+        [
+            "AudioLDM2Node",
+            "ChatMusician",
+            "CreativeArtPromptGenerator",
+            "Internlm",
+            "Joytag",
+            "JsonToText",
+            "KeywordExtraction",
+            "Kosmos2model",
+            "LLMLoader",
+            "LLMPromptGenerator",
+            "LLMSampler",
+            "LLava Loader Simple",
+            "LLavaOptionalMemoryFreeAdvanced",
+            "LLavaOptionalMemoryFreeSimple",
+            "LLavaPromptGenerator",
+            "LLavaSamplerAdvanced",
+            "LLavaSamplerSimple",
+            "LlavaClipLoader",
+            "MCLLaVAModel",
+            "MoonDream",
+            "Moondream2model",
+            "PlayMusic",
+            "PromptGenerateAPI",
+            "SaveAudioNode",
+            "SimpleText",
+            "StructuredOutput",
+            "Suggester",
+            "UformGen2QwenNode",
+            "ViewText"
+        ],
+        {
+            "title_aux": "VLM_nodes"
+        }
+    ],
+    "https://github.com/gonzalu/ComfyUI_YFG_Comical": [
+        [
+            "Image10Switcher_node",
+            "Image15Switcher_node",
+            "Image20Switcher_node",
+            "Image3Switcher_node",
+            "Image5Switcher_node",
+            "MonoClip_node",
+            "PixelArt_node",
+            "VAEDecodePreview_node",
+            "image2contrastMask_node",
+            "image2imbgg_node",
+            "image_halftone",
+            "image_histograms_node",
+            "image_histograms_node_compact",
+            "images_side_by_side",
+            "imgbbLoader_node",
+            "smartCheckpointLoader_node",
+            "storeURL_node",
+            "textMaskOverlay_node"
+        ],
+        {
+            "author": "Manny Gonzalez",
+            "description": "Utility custom nodes for special effects, image manipulation and quality of life tools.",
+            "nickname": "\ud83d\udc2f YFG Comical Nodes",
+            "title": "\ud83d\udc2f YFG Comical Nodes",
+            "title_aux": "\ud83d\ude38 YFG Comical Nodes"
+        }
+    ],
+    "https://github.com/griptape-ai/ComfyUI-Griptape": [
+        [
+            "Griptape Agent Config: Amazon Bedrock Drivers",
+            "Griptape Agent Config: Amazon Bedrock [DEPRICATED]",
+            "Griptape Agent Config: Anthropic Drivers",
+            "Griptape Agent Config: Anthropic [DEPRICATED]",
+            "Griptape Agent Config: Azure OpenAI Drivers",
+            "Griptape Agent Config: Azure OpenAI [DEPRICATED]",
+            "Griptape Agent Config: Cohere Drivers",
+            "Griptape Agent Config: Custom Structure",
+            "Griptape Agent Config: Environment Variables",
+            "Griptape Agent Config: Expand",
+            "Griptape Agent Config: Google Drivers",
+            "Griptape Agent Config: Google [DEPRICATED]",
+            "Griptape Agent Config: HuggingFace Drivers",
+            "Griptape Agent Config: HuggingFace [DEPRICATED]",
+            "Griptape Agent Config: LM Studio Drivers",
+            "Griptape Agent Config: LM Studio [DEPRICATED]",
+            "Griptape Agent Config: Ollama Drivers",
+            "Griptape Agent Config: Ollama [DEPRICATED]",
+            "Griptape Agent Config: OpenAI Compatible Drivers",
+            "Griptape Agent Config: OpenAI Compatible [DEPRICATED]",
+            "Griptape Agent Config: OpenAI Drivers",
+            "Griptape Agent Config: OpenAI [DEPRICATED]",
+            "Griptape Audio Transcription Driver: OpenAI",
+            "Griptape Combine: Merge Inputs",
+            "Griptape Combine: Merge Texts",
+            "Griptape Combine: RAG Module List",
+            "Griptape Combine: Rules List",
+            "Griptape Combine: Tool List",
+            "Griptape Config: Environment Variables",
+            "Griptape Convert: Agent to Tool",
+            "Griptape Convert: Text to CLIP Encode",
+            "Griptape Convert: Text to Combo",
+            "Griptape Create: Agent",
+            "Griptape Create: Agent from Config",
+            "Griptape Create: CLIP Text Encode",
+            "Griptape Create: Image Variation",
+            "Griptape Create: Image from Text",
+            "Griptape Create: Pipeline",
+            "Griptape Create: Rules",
+            "Griptape Create: Text",
+            "Griptape Display: Artifact",
+            "Griptape Display: Data as Text",
+            "Griptape Display: Image",
+            "Griptape Display: Text",
+            "Griptape Driver: Amazon Bedrock Stable Diffusion",
+            "Griptape Driver: Amazon Bedrock Titan",
+            "Griptape Driver: Azure OpenAI Image Generation",
+            "Griptape Driver: Leonardo.AI",
+            "Griptape Driver: OpenAI Compatible Image Generation",
+            "Griptape Driver: OpenAI Image Generation",
+            "Griptape Embedding Driver: Amazon Bedrock Titan",
+            "Griptape Embedding Driver: Amazon SageMaker Jumpstart",
+            "Griptape Embedding Driver: Azure OpenAI",
+            "Griptape Embedding Driver: Cohere",
+            "Griptape Embedding Driver: Google",
+            "Griptape Embedding Driver: HuggingFace",
+            "Griptape Embedding Driver: LM Studio",
+            "Griptape Embedding Driver: Ollama",
+            "Griptape Embedding Driver: OpenAI",
+            "Griptape Embedding Driver: OpenAI Compatible",
+            "Griptape Embedding Driver: Voyage AI",
+            "Griptape Expand: Agent Nodes",
+            "Griptape Load: Audio",
+            "Griptape Load: Image From URL",
+            "Griptape Load: Text",
+            "Griptape Pipeline: Add Task",
+            "Griptape Pipeline: Insert Task",
+            "Griptape Prompt Driver: Amazon Bedrock",
+            "Griptape Prompt Driver: Amazon SageMaker Jumpstart",
+            "Griptape Prompt Driver: Anthropic",
+            "Griptape Prompt Driver: Azure OpenAI",
+            "Griptape Prompt Driver: Cohere",
+            "Griptape Prompt Driver: Google",
+            "Griptape Prompt Driver: HuggingFace",
+            "Griptape Prompt Driver: LM Studio",
+            "Griptape Prompt Driver: Ollama",
+            "Griptape Prompt Driver: OpenAI",
+            "Griptape Prompt Driver: OpenAI Compatible",
+            "Griptape RAG Query: Translate Module",
+            "Griptape RAG Rerank: Text Chunks Module",
+            "Griptape RAG Response: Footnote Prompt Module",
+            "Griptape RAG Response: Prompt Module",
+            "Griptape RAG Response: Text Chunks Module",
+            "Griptape RAG Retrieve: Text Loader Module",
+            "Griptape RAG Retrieve: Vector Store Module",
+            "Griptape RAG: Engine",
+            "Griptape Replace: Rulesets on Agent",
+            "Griptape Replace: Tools on Agent",
+            "Griptape Rerank Driver: Cohere",
+            "Griptape Run: Agent",
+            "Griptape Run: Audio Transcription",
+            "Griptape Run: Image Description",
+            "Griptape Run: Parallel Image Description",
+            "Griptape Run: Prompt Task",
+            "Griptape Run: Structure",
+            "Griptape Run: Text Summary",
+            "Griptape Run: Text to Speech",
+            "Griptape Run: Tool Task",
+            "Griptape Run: Toolkit Task",
+            "Griptape Save: Text",
+            "Griptape Set: Default Agent",
+            "Griptape Text To Speech Driver: ElevenLabs",
+            "Griptape Text To Speech Driver: OpenAI",
+            "Griptape Tool: Audio Transcription",
+            "Griptape Tool: Calculator",
+            "Griptape Tool: DateTime",
+            "Griptape Tool: Extraction",
+            "Griptape Tool: FileManager",
+            "Griptape Tool: Griptape Cloud KnowledgeBase",
+            "Griptape Tool: Prompt Summary",
+            "Griptape Tool: Query",
+            "Griptape Tool: RAG",
+            "Griptape Tool: Text to Speech",
+            "Griptape Tool: VectorStore",
+            "Griptape Tool: WebScraper",
+            "Griptape Tool: WebSearch",
+            "Griptape Util: Create Agent Modelfile",
+            "Griptape Util: Create Model from Modelfile",
+            "Griptape Util: Remove Ollama Model",
+            "Griptape Vector Store Driver: Amazon OpenSearch",
+            "Griptape Vector Store Driver: Azure MongoDB",
+            "Griptape Vector Store Driver: Griptape Cloud KnowledgeBase",
+            "Griptape Vector Store Driver: Local",
+            "Griptape Vector Store Driver: Marqo",
+            "Griptape Vector Store Driver: MongoDB Atlas",
+            "Griptape Vector Store Driver: PGVector",
+            "Griptape Vector Store Driver: Pinecone",
+            "Griptape Vector Store Driver: Qdrant",
+            "Griptape Vector Store Driver: Redis",
+            "Griptape Vector Store: Add Text",
+            "Griptape Vector Store: Query",
+            "Griptape WebSearch Driver: DuckDuckGo",
+            "Griptape WebSearch Driver: Google",
+            "Gt Run Agent"
+        ],
+        {
+            "author": "Jason Schleifer",
+            "description": "This extension offers various nodes that allow you to work with LLMs using the Griptape Python Framework (https://griptape.ai)",
+            "nickname": "ComfyUI-Griptape",
+            "title": "ComfyUI Griptape Nodes",
+            "title_aux": "ComfyUI Griptape Nodes"
+        }
+    ],
+    "https://github.com/gseth/ControlAltAI-Nodes": [
+        [
+            "BooleanBasic",
+            "BooleanReverse",
+            "FluxControlNetApply",
+            "FluxResolutionNode",
+            "FluxSampler",
+            "GetImageSizeRatio"
+        ],
+        {
+            "title_aux": "ControlAltAI Nodes"
+        }
+    ],
+    "https://github.com/guill/abracadabra-comfyui": [
+        [
+            "AbracadabraNode",
+            "AbracadabraNodeDefSummary"
+        ],
+        {
+            "title_aux": "abracadabra-comfyui"
+        }
+    ],
+    "https://github.com/guoyk93/yk-node-suite-comfyui": [
+        [
+            "YKImagePadForOutpaint",
+            "YKMaskToImage"
+        ],
+        {
+            "title_aux": "y.k.'s ComfyUI node suite"
+        }
+    ],
+    "https://github.com/hackkhai/ComfyUI-Image-Matting": [
+        [
+            "ApplyMatting",
+            "CreateTrimap",
+            "MattingModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Matting"
+        }
+    ],
+    "https://github.com/haohaocreates/ComfyUI-HH-Image-Selector": [
+        [
+            "Image Selector"
+        ],
+        {
+            "title_aux": "ComfyUI-HH-Image-Selector"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_AceNodes": [
+        [
+            "ACE_AnyInputSwitchBool",
+            "ACE_AnyInputToAny",
+            "ACE_AudioLoad",
+            "ACE_AudioPlay",
+            "ACE_AudioSave",
+            "ACE_Expression_Eval",
+            "ACE_Float",
+            "ACE_ImageColorFix",
+            "ACE_ImageConstrain",
+            "ACE_ImageFaceCrop",
+            "ACE_ImageGetSize",
+            "ACE_ImageLoadFromCloud",
+            "ACE_ImagePixelate",
+            "ACE_ImageQA",
+            "ACE_ImageRemoveBackground",
+            "ACE_ImageSaveToCloud",
+            "ACE_Integer",
+            "ACE_MaskBlur",
+            "ACE_Seed",
+            "ACE_Text",
+            "ACE_TextConcatenate",
+            "ACE_TextGoogleTranslate",
+            "ACE_TextInputSwitch2Way",
+            "ACE_TextInputSwitch4Way",
+            "ACE_TextInputSwitch8Way",
+            "ACE_TextList",
+            "ACE_TextPreview",
+            "ACE_TextSelector",
+            "ACE_TextToResolution",
+            "ACE_TextTranslate"
+        ],
+        {
+            "title_aux": "ComfyUI AceNodes"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_DDColor": [
+        [
+            "D_DDColor"
+        ],
+        {
+            "title_aux": "ComfyUI DDColor"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_Dreamtalk": [
+        [
+            "D_DreamTalk"
+        ],
+        {
+            "title_aux": "ComfyUI Dreamtalk"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_Hallo": [
+        [
+            "D_HalloNode"
+        ],
+        {
+            "title_aux": "ComfyUI Hallo"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_MiniCPM-V": [
+        [
+            "D_MiniCPM_VQA"
+        ],
+        {
+            "title_aux": "ComfyUI MiniCPM-V"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_OpenVoice": [
+        [
+            "D_OpenVoice_STS",
+            "D_OpenVoice_TTS",
+            "D_OpenVoice_TTS_V2"
+        ],
+        {
+            "title_aux": "ComfyUI OpenVoice"
+        }
+    ],
+    "https://github.com/hben35096/ComfyUI-ReplenishNodes": [
+        [
+            "CLIPSegToMask",
+            "CombineSegMasks"
+        ],
+        {
+            "title_aux": "ComfyUI-ReplenishNodes"
+        }
+    ],
+    "https://github.com/hben35096/ComfyUI-ToolBox": [
+        [
+            "AutoDLDownload",
+            "CreatePaths",
+            "FolderDeleter",
+            "FolderViewe",
+            "PathOutput"
+        ],
+        {
+            "title_aux": "ComfyUI-ToolBox"
+        }
+    ],
+    "https://github.com/heshengtao/comfyui_LLM_party": [
+        [
+            "About_us",
+            "AmapRegeoTool",
+            "AmapWeatherTool",
+            "CLIPTextEncode_party",
+            "Dingding",
+            "Dingding_tool",
+            "FeishuDownloadAudio",
+            "FeishuDownloadImage",
+            "FeishuGetHistory",
+            "FeishuSendMsg",
+            "FileOnlineDelete_gitee",
+            "FileOnlineStorage_gitee",
+            "FilePathExists",
+            "GeocodeTool",
+            "Images2Image",
+            "KG_csv_toolkit_developer",
+            "KG_csv_toolkit_user",
+            "KG_json_toolkit_developer",
+            "KG_json_toolkit_user",
+            "KG_neo_toolkit_developer",
+            "KG_neo_toolkit_user",
+            "KSampler_party",
+            "LLM",
+            "LLM_api_loader",
+            "LLM_local",
+            "LLM_local_loader",
+            "LLavaLoader",
+            "Lorebook",
+            "URL2IMG",
+            "VAEDecode_party",
+            "accuweather_tool",
+            "advance_ebd_tool",
+            "api_function",
+            "api_tool",
+            "arxiv_tool",
+            "bing_loader",
+            "bing_tool",
+            "bool_logic",
+            "check_web_tool",
+            "classify_function",
+            "classify_function_plus",
+            "classify_persona",
+            "classify_persona_plus",
+            "clear_file",
+            "clear_model",
+            "custom_persona",
+            "discord_bot",
+            "discord_file_monitor",
+            "discord_send",
+            "duckduckgo_loader",
+            "duckduckgo_tool",
+            "ebd_tool",
+            "embeddings_function",
+            "end_dialog",
+            "end_workflow",
+            "extra_parameters",
+            "feishu",
+            "feishu_tool",
+            "file_combine",
+            "file_combine_plus",
+            "flux_persona",
+            "genai_api_loader",
+            "get_string",
+            "github_tool",
+            "google_loader",
+            "google_tool",
+            "gpt_sovits",
+            "html2img_function",
+            "image_iterator",
+            "img2path",
+            "interpreter_function",
+            "interpreter_tool",
+            "json2text",
+            "json_get_value",
+            "json_iterator",
+            "json_parser",
+            "keyword_tool",
+            "list_append",
+            "list_append_plus",
+            "list_extend",
+            "list_extend_plus",
+            "listen_audio",
+            "load_ebd",
+            "load_excel",
+            "load_file",
+            "load_file_folder",
+            "load_img_path",
+            "load_int",
+            "load_keyword",
+            "load_name",
+            "load_openai_ebd",
+            "load_persona",
+            "load_url",
+            "load_wikipedia",
+            "md_to_html",
+            "none2false",
+            "omost_decode",
+            "omost_json2py",
+            "omost_setting",
+            "openai_ebd_tool",
+            "openai_tts",
+            "openai_whisper",
+            "parameter_combine",
+            "parameter_combine_plus",
+            "parameter_function",
+            "replace_string",
+            "save_ebd_database",
+            "save_openai_ebd",
+            "show_text_party",
+            "sql_tool",
+            "start_dialog",
+            "start_workflow",
+            "story_json_tool",
+            "str2float",
+            "string_logic",
+            "substring",
+            "text2json",
+            "text2parameters",
+            "text_iterator",
+            "text_writing",
+            "time_tool",
+            "tool_combine",
+            "tool_combine_plus",
+            "translate_persona",
+            "weather_tool",
+            "weekday_tool",
+            "wikipedia_tool",
+            "work_wechat",
+            "work_wechat_tool",
+            "workflow_tool",
+            "workflow_transfer",
+            "workflow_transfer_v2"
+        ],
+        {
+            "title_aux": "comfyui_LLM_party"
+        }
+    ],
+    "https://github.com/heshengtao/comfyui_LLM_schools": [
+        [
+            "CausalLM_trainer",
+            "IA3_Arguments",
+            "LLM_Arguments",
+            "Lora_or_adapter_Arguments",
+            "P_or_Prompt_Arguments",
+            "Prefix_Arguments",
+            "download_dataset",
+            "get_dataset_name",
+            "split_dataset"
+        ],
+        {
+            "title_aux": "comfyui_LLM_schools"
+        }
+    ],
+    "https://github.com/hhhzzyang/Comfyui_Lama": [
+        [
+            "LamaApply",
+            "LamaModelLoader",
+            "YamlConfigLoader"
+        ],
+        {
+            "title_aux": "Comfyui-Lama"
+        }
+    ],
+    "https://github.com/hiforce/comfyui-hiforce-plugin": [
+        [
+            "HfBoolSwitchKSampleStatus",
+            "HfImageAutoExpansionSquare",
+            "HfImageToRGB",
+            "HfImageToRGBA",
+            "HfInitImageWithMaxSize",
+            "HfIterativeLatentUpscale",
+            "HfLoadImageWithCropper",
+            "HfLookbackSamplerLoader",
+            "HfLoopback",
+            "HfResizeImage",
+            "HfSampler",
+            "HfSamplerLoader",
+            "HfSamplerLoopback",
+            "HfSaveImage",
+            "HfSwitchKSampleStatus",
+            "HfTwoSamplersForMask",
+            "HfTwoStepSamplers",
+            "LoadImageFromURL"
+        ],
+        {
+            "title_aux": "Comfyui HiFORCE Plugin"
+        }
+    ],
+    "https://github.com/hinablue/ComfyUI_3dPoseEditor": [
+        [
+            "Hina.PoseEditor3D"
+        ],
+        {
+            "title_aux": "ComfyUI 3D Pose Editor"
+        }
+    ],
+    "https://github.com/holchan/ComfyUI-ModelDownloader": [
+        [
+            "LoRADownloader",
+            "ModelDownloader"
+        ],
+        {
+            "title_aux": "ComfyUI-ModelDownloader"
+        }
+    ],
+    "https://github.com/huagetai/ComfyUI-Gaffer": [
+        [
+            "ApplyICLight",
+            "CalculateNormalMap",
+            "GrayScaler",
+            "ICLightModelLoader",
+            "LightSource"
+        ],
+        {
+            "title_aux": "comfyui's gaffer(ComfyUI native implementation of IC-Light. )"
+        }
+    ],
+    "https://github.com/huagetai/ComfyUI_LightGradient": [
+        [
+            "ImageGradient",
+            "MaskGradient"
+        ],
+        {
+            "title_aux": "Light Gradient for ComfyUI"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI-IC-Light-Native": [
+        [
+            "ICLightApplyMaskGrey",
+            "ICLightAppply",
+            "VAEEncodeArgMax"
+        ],
+        {
+            "title_aux": "ComfyUI-IC-Light-Native"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI-layerdiffuse": [
+        [
+            "LayeredDiffusionApply",
+            "LayeredDiffusionCondApply",
+            "LayeredDiffusionCondJointApply",
+            "LayeredDiffusionDecode",
+            "LayeredDiffusionDecodeRGBA",
+            "LayeredDiffusionDecodeSplit",
+            "LayeredDiffusionDiffApply",
+            "LayeredDiffusionJointApply"
+        ],
+        {
+            "title_aux": "ComfyUI-layerdiffuse (layerdiffusion)"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI-openpose-editor": [
+        [
+            "huchenlei.LoadOpenposeJSON"
+        ],
+        {
+            "title_aux": "ComfyUI-openpose-editor"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI_DanTagGen": [
+        [
+            "PromptDanTagGen"
+        ],
+        {
+            "title_aux": "ComfyUI_DanTagGen"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI_densediffusion": [
+        [
+            "DenseDiffusionAddCondNode",
+            "DenseDiffusionApplyNode"
+        ],
+        {
+            "title_aux": "ComfyUI DenseDiffusion"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI_omost": [
+        [
+            "OmostDenseDiffusionLayoutNode",
+            "OmostGreedyBagsTextEmbeddingNode",
+            "OmostLLMChatNode",
+            "OmostLLMHTTPServerNode",
+            "OmostLLMLoaderNode",
+            "OmostLayoutCondNode",
+            "OmostLoadCanvasConditioningNode",
+            "OmostLoadCanvasPythonCodeNode",
+            "OmostRenderCanvasConditioningNode"
+        ],
+        {
+            "title_aux": "ComfyUI_omost"
+        }
+    ],
+    "https://github.com/hughescr/ComfyUI-OpenPose-Keypoint-Extractor": [
+        [
+            "Openpose Keypoint Extractor"
+        ],
+        {
+            "title_aux": "OpenPose Keypoint Extractor"
+        }
+    ],
+    "https://github.com/hustille/ComfyUI_Fooocus_KSampler": [
+        [
+            "KSampler With Refiner (Fooocus)"
+        ],
+        {
+            "title_aux": "ComfyUI_Fooocus_KSampler"
+        }
+    ],
+    "https://github.com/hustille/ComfyUI_hus_utils": [
+        [
+            "3way Prompt Styler",
+            "Batch State",
+            "Date Time Format",
+            "Debug Extra",
+            "Fetch widget value",
+            "Text Hash"
+        ],
+        {
+            "title_aux": "hus' utils for ComfyUI"
+        }
+    ],
+    "https://github.com/hwhaocool/ComfyUI-Select-Any": [
+        [
+            "SelectAnyValues"
+        ],
+        {
+            "title_aux": "ComfyUI-Select-Any"
+        }
+    ],
+    "https://github.com/hylarucoder/ComfyUI-Eagle-PNGInfo": [
+        [
+            "EagleImageNode",
+            "SDXLPromptStyler",
+            "SDXLPromptStylerAdvanced",
+            "SDXLResolutionPresets"
+        ],
+        {
+            "title_aux": "Eagle PNGInfo"
+        }
+    ],
+    "https://github.com/hyunamy/comfy-ui-on-complete-email-me": [
+        [
+            "OnCompleteEmailMe",
+            "OnCompleteWebhook"
+        ],
+        {
+            "title_aux": "Comfy-UI on-complete-email-me"
+        }
+    ],
+    "https://github.com/iFREEGROUP/comfyui-undistort": [
+        [
+            "IG_LoadCheckerboardImageForCalibrateCamera",
+            "IG_MatrixAndDistCoefToText",
+            "IG_Undistort"
+        ],
+        {
+            "title_aux": "comfyui-undistort"
+        }
+    ],
+    "https://github.com/icesun963/ComfyUI_HFDownLoad": [
+        [
+            "Apply EasyOCR V2",
+            "HFDownLoad_Tool",
+            "LayerMask: SegmentAnythingUltra V2.1",
+            "LayerUtility: LaMa V2"
+        ],
+        {
+            "author": "chflame",
+            "description": "A set of nodes for ComfyUI that can composite layer and mask to achieve Photoshop like functionality.",
+            "nickname": "LayerStyle",
+            "title": "LayerStyle",
+            "title_aux": "HFDownLoad Node for ComfyUI"
+        }
+    ],
+    "https://github.com/idrirap/ComfyUI-Lora-Auto-Trigger-Words": [
+        [
+            "FusionText",
+            "LoraListNames",
+            "LoraLoaderAdvanced",
+            "LoraLoaderStackedAdvanced",
+            "LoraLoaderStackedVanilla",
+            "LoraLoaderVanilla",
+            "LoraTagsOnly",
+            "Randomizer",
+            "TagsFormater",
+            "TagsSelector",
+            "TextInputBasic"
+        ],
+        {
+            "title_aux": "ComfyUI-Lora-Auto-Trigger-Words"
+        }
+    ],
+    "https://github.com/iemesowum/ComfyUI_IsaacNodes": [
+        [
+            "I_AmplitudeToWeights",
+            "I_BinaryAmplitudeGate",
+            "I_UnmixAudio",
+            "I_WeightsListToWeights"
+        ],
+        {
+            "author": "Isaac Emesowum",
+            "description": "This extension offers automatic drums extraction from audio files, as well as a few helper nodes to support my audio synchronization AnimateDiff workflows.",
+            "nickname": "Isaac's Nodes",
+            "title": "Isaac's Nodes",
+            "title_aux": "Isaac's Nodes"
+        }
+    ],
+    "https://github.com/if-ai/ComfyUI-IF_AI_HFDownloaderNode": [
+        [
+            "IF_HFDownload",
+            "IF_HFDownloadNode"
+        ],
+        {
+            "title_aux": "ComfyUI-IF_AI_HFDownloaderNode"
+        }
+    ],
+    "https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode": [
+        [
+            "IF_WhisperSpeech"
+        ],
+        {
+            "title_aux": "ComfyUI-IF_AI_WishperSpeechNode"
+        }
+    ],
+    "https://github.com/if-ai/ComfyUI-IF_AI_tools": [
+        [
+            "IF_ChatPrompt",
+            "IF_DisplayOmni",
+            "IF_DisplayText",
+            "IF_ImagePrompt",
+            "IF_PromptMkr",
+            "IF_SaveText",
+            "IF_TextTyper",
+            "IF_saveText"
+        ],
+        {
+            "title_aux": "ComfyUI-IF_AI_tools"
+        }
+    ],
+    "https://github.com/ihmily/ComfyUI-Light-Tool": [
+        [
+            "Light-Tool: AddBackground",
+            "Light-Tool: AddBackgroundV2",
+            "Light-Tool: BoundingBoxCropping",
+            "Light-Tool: ImageMaskApply",
+            "Light-Tool: ImageOverlay",
+            "Light-Tool: ImageToMask",
+            "Light-Tool: InvertMask",
+            "Light-Tool: IsTransparent",
+            "Light-Tool: LoadImage",
+            "Light-Tool: LoadImageFromURL",
+            "Light-Tool: LoadImagesFromDir",
+            "Light-Tool: MaskBoundingBoxCropping",
+            "Light-Tool: MaskContourExtractor",
+            "Light-Tool: MaskImageToTransparent",
+            "Light-Tool: MaskToImage",
+            "Light-Tool: PhantomTankEffect",
+            "Light-Tool: ResizeImage",
+            "Light-Tool: SolidColorBackground"
+        ],
+        {
+            "author": "Hmily",
+            "description": "An awesome light image processing tool nodes for ComfyUI.",
+            "nickname": "ComfyUI-Light-Tool",
+            "title": "ComfyUI-Light-Tool",
+            "title_aux": "ComfyUI-Light-Tool"
+        }
+    ],
+    "https://github.com/imb101/ComfyUI-FaceSwap": [
+        [
+            "FaceSwapNode"
+        ],
+        {
+            "title_aux": "FaceSwap"
+        }
+    ],
+    "https://github.com/injet-zhou/comfyui_extra_api": [
+        [
+            "SimpleGenImageInterface"
+        ],
+        {
+            "title_aux": "comfyui_extra_api"
+        }
+    ],
+    "https://github.com/iwanders/ComfyUI_nodes": [
+        [
+            "IW_JsonPickItem",
+            "IW_ModelHook",
+            "IW_StringConcat",
+            "IW_StringFromInt",
+            "IW_StringNode",
+            "IW_StringPrint",
+            "IW_StringReplace",
+            "IW_StringSave",
+            "IW_TokenizerVocab"
+        ],
+        {
+            "title_aux": "iwanders/ComfyUI_nodes"
+        }
+    ],
+    "https://github.com/jags111/ComfyUI_Jags_Audiotools": [
+        [
+            "BatchJoinAudio",
+            "BatchToList",
+            "BitCrushAudioFX",
+            "BulkVariation",
+            "ChorusAudioFX",
+            "ClippingAudioFX",
+            "CompressorAudioFX",
+            "ConcatAudioList",
+            "ConvolutionAudioFX",
+            "CutAudio",
+            "DelayAudioFX",
+            "DistortionAudioFX",
+            "DuplicateAudio",
+            "GainAudioFX",
+            "GenerateAudioSample",
+            "GenerateAudioWave",
+            "GetAudioFromFolderIndex",
+            "GetSingle",
+            "GetStringByIndex",
+            "HighShelfFilter",
+            "HighpassFilter",
+            "ImageToSpectral",
+            "InvertAudioFX",
+            "JoinAudio",
+            "LadderFilter",
+            "LimiterAudioFX",
+            "ListToBatch",
+            "LoadAudioDir",
+            "LoadAudioFile",
+            "LoadAudioModel (DD)",
+            "LoadVST3",
+            "LowShelfFilter",
+            "LowpassFilter",
+            "MP3CompressorAudioFX",
+            "MixAudioTensors",
+            "NoiseGateAudioFX",
+            "OTTAudioFX",
+            "PeakFilter",
+            "PhaserEffectAudioFX",
+            "PitchShiftAudioFX",
+            "PlotSpectrogram",
+            "PreviewAudioFile",
+            "PreviewAudioTensor",
+            "ResampleAudio",
+            "ReverbAudioFX",
+            "ReverseAudio",
+            "SaveAudioTensor",
+            "SequenceVariation",
+            "SliceAudio",
+            "SoundPlayer",
+            "StretchAudio",
+            "samplerate"
+        ],
+        {
+            "author": "jags111",
+            "description": "This extension offers various audio generation tools",
+            "nickname": "Audiotools",
+            "title": "Jags_Audiotools",
+            "title_aux": "Jags_Audiotools"
+        }
+    ],
+    "https://github.com/jags111/ComfyUI_Jags_VectorMagic": [
+        [
+            "CircularVAEDecode",
+            "JagsCLIPSeg",
+            "JagsClipseg",
+            "JagsCombineMasks",
+            "SVG",
+            "YoloSEGdetectionNode",
+            "YoloSegNode",
+            "color_drop",
+            "xy_Tiling_KSampler"
+        ],
+        {
+            "author": "jags111",
+            "description": "This extension offers various vector manipulation and  generation tools",
+            "nickname": "Jags_VectorMagic",
+            "title": "Jags_VectorMagic",
+            "title_aux": "Jags_VectorMagic"
+        }
+    ],
+    "https://github.com/jags111/efficiency-nodes-comfyui": [
+        [
+            "AnimateDiff Script",
+            "Apply ControlNet Stack",
+            "Control Net Stacker",
+            "Eff. Loader SDXL",
+            "Efficient Loader",
+            "HighRes-Fix Script",
+            "Image Overlay",
+            "Join XY Inputs of Same Type",
+            "KSampler (Efficient)",
+            "KSampler Adv. (Efficient)",
+            "KSampler SDXL (Eff.)",
+            "LatentUpscaler",
+            "LoRA Stack to String converter",
+            "LoRA Stacker",
+            "Manual XY Entry Info",
+            "NNLatentUpscale",
+            "Noise Control Script",
+            "Pack SDXL Tuple",
+            "Tiled Upscaler Script",
+            "Unpack SDXL Tuple",
+            "XY Input: Add/Return Noise",
+            "XY Input: Aesthetic Score",
+            "XY Input: CFG Scale",
+            "XY Input: Checkpoint",
+            "XY Input: Clip Skip",
+            "XY Input: Control Net",
+            "XY Input: Control Net Plot",
+            "XY Input: Denoise",
+            "XY Input: LoRA",
+            "XY Input: LoRA Plot",
+            "XY Input: LoRA Stacks",
+            "XY Input: Manual XY Entry",
+            "XY Input: Prompt S/R",
+            "XY Input: Refiner On/Off",
+            "XY Input: Sampler/Scheduler",
+            "XY Input: Seeds++ Batch",
+            "XY Input: Steps",
+            "XY Input: VAE",
+            "XY Plot"
+        ],
+        {
+            "title_aux": "Efficiency Nodes for ComfyUI Version 2.0+"
+        }
+    ],
+    "https://github.com/jakechai/ComfyUI-JakeUpgrade": [
+        [
+            "Animation Prompt JK",
+            "Animation Value JK",
+            "Base Image Parameters Extract JK",
+            "Base Model Parameters Extract JK",
+            "Base Model Parameters JK",
+            "Base Model Pipe Extract JK",
+            "Base Model Pipe JK",
+            "CM_BoolBinaryOperation JK",
+            "CM_BoolToInt JK",
+            "CM_BoolUnaryOperation JK",
+            "CM_BreakoutVec2 JK",
+            "CM_BreakoutVec3 JK",
+            "CM_BreakoutVec4 JK",
+            "CM_ComposeVec2 JK",
+            "CM_ComposeVec3 JK",
+            "CM_ComposeVec4 JK",
+            "CM_FloatBinaryCondition JK",
+            "CM_FloatBinaryOperation JK",
+            "CM_FloatToInt JK",
+            "CM_FloatToNumber JK",
+            "CM_FloatUnaryCondition JK",
+            "CM_FloatUnaryOperation JK",
+            "CM_IntBinaryCondition JK",
+            "CM_IntBinaryOperation JK",
+            "CM_IntToBool JK",
+            "CM_IntToFloat JK",
+            "CM_IntToNumber JK",
+            "CM_IntUnaryCondition JK",
+            "CM_IntUnaryOperation JK",
+            "CM_NumberBinaryCondition JK",
+            "CM_NumberBinaryOperation JK",
+            "CM_NumberToFloat JK",
+            "CM_NumberToInt JK",
+            "CM_NumberUnaryCondition JK",
+            "CM_NumberUnaryOperation JK",
+            "CM_PromptCombine_JK",
+            "CM_StringBinaryCondition_JK",
+            "CM_Vec2BinaryCondition JK",
+            "CM_Vec2BinaryOperation JK",
+            "CM_Vec2FloatOperation_JK",
+            "CM_Vec2ToFloatBinaryOperation JK",
+            "CM_Vec2ToFloatUnaryOperation JK",
+            "CM_Vec2UnaryCondition JK",
+            "CM_Vec2UnaryOperation JK",
+            "CM_Vec3BinaryCondition JK",
+            "CM_Vec3BinaryOperation JK",
+            "CM_Vec3FloatOperation_JK",
+            "CM_Vec3ToFloatBinaryOperation JK",
+            "CM_Vec3ToFloatUnaryOperation JK",
+            "CM_Vec3UnaryCondition JK",
+            "CM_Vec3UnaryOperation JK",
+            "CM_Vec4BinaryCondition JK",
+            "CM_Vec4BinaryOperation JK",
+            "CM_Vec4FloatOperation_JK",
+            "CM_Vec4ToFloatBinaryOperation JK",
+            "CM_Vec4ToFloatUnaryOperation JK",
+            "CM_Vec4UnaryCondition JK",
+            "CM_Vec4UnaryOperation JK",
+            "CR Apply ControlNet JK",
+            "CR Apply Multi-ControlNet JK",
+            "CR Boolean JK",
+            "CR Clip Input Switch JK",
+            "CR Conditioning Input Switch JK",
+            "CR ControlNet Input Switch JK",
+            "CR Float Input Switch JK",
+            "CR Image Input Switch JK",
+            "CR Impact Pipe Input Switch JK",
+            "CR Int Input Switch JK",
+            "CR Latent Input Switch JK",
+            "CR LoRA Stack JK",
+            "CR Load LoRA JK",
+            "CR Mask Input Switch JK",
+            "CR Mesh Input Switch JK",
+            "CR Model Input Switch JK",
+            "CR Multi-ControlNet Stack JK",
+            "CR Obit Pose Input Switch JK",
+            "CR Orbit Pose Input Switch JK",
+            "CR Pipe Input Switch JK",
+            "CR Ply Input Switch JK",
+            "CR SD1.5 Aspect Ratio JK",
+            "CR SDXL Aspect Ratio JK",
+            "CR Switch Model and CLIP JK",
+            "CR Text Input Switch JK",
+            "CR VAE Input Switch JK",
+            "CR_Apply Multi-ControlNet SD3 JK",
+            "Ckpt Loader JK",
+            "Detailer Parameters JK",
+            "Embedding Picker JK",
+            "Embedding Picker Multi JK",
+            "Evaluate Examples JK",
+            "Evaluate Floats JK",
+            "Evaluate Ints JK",
+            "Evaluate Strings JK",
+            "HintImageEnchance JK",
+            "Image Remove Alpha JK",
+            "Image Upscale Parameters Extract JK",
+            "Ksampler Parameters JK",
+            "Latent Upscale Parameters Extract JK",
+            "Load Image With Metadata JK",
+            "Metadata Pipe Extract JK",
+            "Metadata Pipe JK",
+            "NodesState JK",
+            "Noise Injection Parameters JK",
+            "Noise Injection Pipe Extract JK",
+            "Orbit Poses JK",
+            "OrbitLists to OrbitPoses JK",
+            "OrbitPoses to OrbitLists JK",
+            "Pipe End JK",
+            "Project Setting JK",
+            "Random Beats JK",
+            "Refine 1 Parameters Extract JK",
+            "Refine 2 Parameters Extract JK",
+            "Refine Model Parameters JK",
+            "Refine Pipe Extract JK",
+            "Refine Pipe JK",
+            "Reroute Ckpt JK",
+            "Reroute List JK",
+            "Reroute Resize JK",
+            "Reroute Sampler JK",
+            "Reroute String JK",
+            "Reroute Upscale JK",
+            "Reroute Vae JK",
+            "SDXLPromptStylerAll",
+            "SDXLPromptStylerHorror",
+            "SDXLPromptStylerMisc",
+            "SDXLPromptStylerbyArtist",
+            "SDXLPromptStylerbyCamera",
+            "SDXLPromptStylerbyComposition",
+            "SDXLPromptStylerbyCyberpunkSurrealism",
+            "SDXLPromptStylerbyDepth",
+            "SDXLPromptStylerbyDiva",
+            "SDXLPromptStylerbyEnvironment",
+            "SDXLPromptStylerbyFantasySetting",
+            "SDXLPromptStylerbyFilter",
+            "SDXLPromptStylerbyFocus",
+            "SDXLPromptStylerbyFooocus",
+            "SDXLPromptStylerbyImpressionism",
+            "SDXLPromptStylerbyLighting",
+            "SDXLPromptStylerbyMarc",
+            "SDXLPromptStylerbyMileHigh",
+            "SDXLPromptStylerbyMood",
+            "SDXLPromptStylerbyMre",
+            "SDXLPromptStylerbyMythicalCreature",
+            "SDXLPromptStylerbyOriginal",
+            "SDXLPromptStylerbyQuantumRealism",
+            "SDXLPromptStylerbySai",
+            "SDXLPromptStylerbySteamPunkRealism",
+            "SDXLPromptStylerbySubject",
+            "SDXLPromptStylerbySurrealism",
+            "SDXLPromptStylerbyTheme",
+            "SDXLPromptStylerbyTimeofDay",
+            "SDXLPromptStylerbyTwri",
+            "SDXLPromptStylerbyWyvern",
+            "SDXLPromptbyCelticArt",
+            "SDXLPromptbyContemporaryNordicArt",
+            "SDXLPromptbyFashionArt",
+            "SDXLPromptbyGothicRevival",
+            "SDXLPromptbyIrishFolkArt",
+            "SDXLPromptbyRomanticNationalismArt",
+            "SDXLPromptbySportsArt",
+            "SDXLPromptbyStreetArt",
+            "SDXLPromptbyVikingArt",
+            "SDXLPromptbyWildlifeArt",
+            "Sampler Loader JK",
+            "Save Image with Metadata Flow JK",
+            "Save Image with Metadata JK",
+            "Upscale Model Loader JK",
+            "Upscale Model Parameters Extract JK",
+            "Upscale Model Parameters JK",
+            "Vae Loader JK"
+        ],
+        {
+            "title_aux": "ComfyUI-JakeUpgrade"
+        }
+    ],
+    "https://github.com/jamal-alkharrat/ComfyUI_rotate_image": [
+        [
+            "RotateImage"
+        ],
+        {
+            "title_aux": "ComfyUI_rotate_image"
+        }
+    ],
+    "https://github.com/jamesWalker55/comfyui-p2ldgan": [
+        [
+            "P2LDGAN"
+        ],
+        {
+            "title_aux": "ComfyUI - P2LDGAN Node"
+        }
+    ],
+    "https://github.com/jamesWalker55/comfyui-various": [
+        [
+            "BatchLoadImage",
+            "BatchSaveImage",
+            "GroupInfoExtractFloat",
+            "GroupInfoExtractInt",
+            "GroupLoadBatchImages",
+            "GroupLoadImage",
+            "JWDatetimeString",
+            "JWImageBatchCount",
+            "JWImageContrast",
+            "JWImageExtractFromBatch",
+            "JWImageFlip",
+            "JWImageLevels",
+            "JWImageLoadRGB",
+            "JWImageLoadRGBA",
+            "JWImageLoadRGBA From Clipboard",
+            "JWImageLoadRGBFromClipboard",
+            "JWImageLoadRGBIfExists",
+            "JWImageMix",
+            "JWImageResize",
+            "JWImageResizeByFactor",
+            "JWImageResizeByLongerSide",
+            "JWImageResizeByShorterSide",
+            "JWImageResizeToSquare",
+            "JWImageSaturation",
+            "JWImageSaveToPath",
+            "JWImageSequenceExtractFromBatch",
+            "JWImageStackChannels",
+            "JWInfoHashExtractFloat",
+            "JWInfoHashExtractInteger",
+            "JWInfoHashExtractString",
+            "JWInfoHashFromInfoHashList",
+            "JWInfoHashFromRangedInfo",
+            "JWInfoHashListExtractStringList",
+            "JWInfoHashListFromRangedInfo",
+            "JWInfoHashPrint",
+            "JWLoadImageSequence",
+            "JWLoadImagesFromString",
+            "JWLoopImageSequence",
+            "JWMaskLikeImageSize",
+            "JWMaskResize",
+            "JWMaskSequenceApplyToLatent",
+            "JWMaskSequenceFromMask",
+            "JWMaskSequenceJoin",
+            "JWPrintFloat",
+            "JWPrintImage",
+            "JWPrintInteger",
+            "JWPrintLatent",
+            "JWPrintMask",
+            "JWPrintString",
+            "JWRangedInfoCalculateSubBatch",
+            "JWReferenceOnly",
+            "JWSaveImageSequence",
+            "JWStringListCLIPEncode",
+            "JWStringListFromString",
+            "JWStringListFromStrings",
+            "JWStringListJoin",
+            "JWStringListRepeat",
+            "JWStringListToFormatedString",
+            "JWStringListToString",
+            "JWUncropCrop",
+            "JWUncropNewRect",
+            "JWUncropUncrop",
+            "JamesLoadImageGroup",
+            "RAFTEstimate",
+            "RAFTFlowToImage",
+            "RAFTLoadFlowFromEXRChannels",
+            "RCReceiveFloat",
+            "RCReceiveFloatList",
+            "RCReceiveInt",
+            "RCReceiveIntList",
+            "RCReceiveLatent",
+            "RCSendLatent"
+        ],
+        {
+            "nodename_pattern": "^JW",
+            "title_aux": "Various ComfyUI Nodes by Type"
+        }
+    ],
+    "https://github.com/jax-explorer/fast_video_comfyui": [
+        [
+            "FastImageListToImageBatch"
+        ],
+        {
+            "title_aux": "fast_video_comfyui"
+        }
+    ],
+    "https://github.com/jeffy5/comfyui-faceless-node": [
+        [
+            "FacelessFaceRestore",
+            "FacelessFaceSwap",
+            "FacelessLoadImageUrl",
+            "FacelessLoadVideo",
+            "FacelessLoadVideoImages",
+            "FacelessLoadVideoUrl",
+            "FacelessMergeVideos",
+            "FacelessRemoveBackground",
+            "FacelessSaveVideo",
+            "FacelessUploadVideo",
+            "FacelessVideoFaceRestore",
+            "FacelessVideoFaceSwap",
+            "FacelessVideoRemoveBackground"
+        ],
+        {
+            "title_aux": "Faceless Node for ComfyUI"
+        }
+    ],
+    "https://github.com/jesenzhang/ComfyUI_StreamDiffusion": [
+        [
+            "StreamDiffusion_Loader",
+            "StreamDiffusion_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_StreamDiffusion"
+        }
+    ],
+    "https://github.com/jiaxiangc/ComfyUI-ResAdapter": [
+        [
+            "ResAdapterLoader"
+        ],
+        {
+            "title_aux": "ResAdapter for ComfyUI"
+        }
+    ],
+    "https://github.com/jitcoder/lora-info": [
+        [
+            "ImageFromURL",
+            "LoraInfo"
+        ],
+        {
+            "title_aux": "LoraInfo"
+        }
+    ],
+    "https://github.com/jjkramhoeft/ComfyUI-Jjk-Nodes": [
+        [
+            "JjkConcat",
+            "JjkShowText",
+            "JjkText",
+            "SDXLRecommendedImageSize"
+        ],
+        {
+            "title_aux": "ComfyUI-Jjk-Nodes"
+        }
+    ],
+    "https://github.com/jkrauss82/ultools-comfyui": [
+        [
+            "CLIPTextEncodeWithStats",
+            "OpenPoseEditorAdv",
+            "SaveImgAdv",
+            "SolidMaskAdv"
+        ],
+        {
+            "title_aux": "ULTools for ComfyUI"
+        }
+    ],
+    "https://github.com/jn-jairo/jn_comfyui": [
+        [
+            "JN_AreaAround",
+            "JN_AreaInfo",
+            "JN_AreaNormalize",
+            "JN_AreaToMask",
+            "JN_AreaWidthHeight",
+            "JN_AreaXY",
+            "JN_AudioArrayToBatch",
+            "JN_AudioAutoTune",
+            "JN_AudioBatchToArray",
+            "JN_AudioCompare",
+            "JN_AudioConcatenation",
+            "JN_AudioGetChannels",
+            "JN_AudioInfo",
+            "JN_AudioNoiseReduction",
+            "JN_AudioNormalize",
+            "JN_AudioPitch",
+            "JN_AudioPlot",
+            "JN_AudioReverberation",
+            "JN_AudioSampleRate",
+            "JN_AudioSetChannels",
+            "JN_AudioSlice",
+            "JN_AudioSpeed",
+            "JN_AudioSplitChannels",
+            "JN_AudioStackChannels",
+            "JN_AudioTempo",
+            "JN_AudioTrimSilence",
+            "JN_AudioVolume",
+            "JN_Blip",
+            "JN_BlipLoader",
+            "JN_BooleanOperation",
+            "JN_Condition",
+            "JN_CoolDown",
+            "JN_CoolDownOutput",
+            "JN_DatetimeFormat",
+            "JN_DatetimeInfo",
+            "JN_DatetimeNow",
+            "JN_Dump",
+            "JN_DumpOutput",
+            "JN_Exec",
+            "JN_ExecOutput",
+            "JN_FaceCrop",
+            "JN_FaceRestoreModelLoader",
+            "JN_FaceRestoreWithModel",
+            "JN_FirstActive",
+            "JN_Flow",
+            "JN_FlowOutput",
+            "JN_ImageAddBackground",
+            "JN_ImageAddMask",
+            "JN_ImageBatch",
+            "JN_ImageCenterArea",
+            "JN_ImageCrop",
+            "JN_ImageGrid",
+            "JN_ImageInfo",
+            "JN_ImageRemoveBackground",
+            "JN_ImageSharpness",
+            "JN_ImageSquare",
+            "JN_ImageToMask",
+            "JN_ImageUncrop",
+            "JN_KSampler",
+            "JN_KSamplerAdvancedParams",
+            "JN_KSamplerFaceRestoreParams",
+            "JN_KSamplerResizeInputParams",
+            "JN_KSamplerResizeMaskAreaParams",
+            "JN_KSamplerResizeOutputParams",
+            "JN_KSamplerSeamlessParams",
+            "JN_KSamplerTileParams",
+            "JN_KeyValue",
+            "JN_LoadAudioDirectory",
+            "JN_LoadImageDirectory",
+            "JN_LogicOperation",
+            "JN_MaskBatch",
+            "JN_MaskInfo",
+            "JN_MaskToArea",
+            "JN_MaskToImage",
+            "JN_MathOperation",
+            "JN_MathOperationArray",
+            "JN_MeowHrtfAudio3d",
+            "JN_MeowHrtfModel",
+            "JN_MeowHrtfPosition",
+            "JN_MeowLoadVoice",
+            "JN_MeowSaveVoice",
+            "JN_MeowSentenceSplit",
+            "JN_MeowTts",
+            "JN_MeowTtsAudioToContext",
+            "JN_MeowTtsCoarse",
+            "JN_MeowTtsDecode",
+            "JN_MeowTtsFine",
+            "JN_MeowTtsLoadContext",
+            "JN_MeowTtsModel",
+            "JN_MeowTtsModelCoarse",
+            "JN_MeowTtsModelEncodec",
+            "JN_MeowTtsModelFine",
+            "JN_MeowTtsModelHubert",
+            "JN_MeowTtsModelSemantic",
+            "JN_MeowTtsSaveContext",
+            "JN_MeowTtsSemantic",
+            "JN_MeowTtsTokenizerHubert",
+            "JN_MeowVc",
+            "JN_MeowVcConvertVoice",
+            "JN_MeowVcEncodeSource",
+            "JN_MeowVcEncodeTarget",
+            "JN_MeowVcLoadSpeaker",
+            "JN_MeowVcModelFreeVC",
+            "JN_MeowVcModelWavLM",
+            "JN_MeowVcSaveSpeaker",
+            "JN_PreviewAudio",
+            "JN_PreviewImage",
+            "JN_PreviewMask",
+            "JN_PrimitiveArrayInfo",
+            "JN_PrimitiveBatchToArray",
+            "JN_PrimitiveBoolean",
+            "JN_PrimitiveFloat",
+            "JN_PrimitiveInt",
+            "JN_PrimitivePrompt",
+            "JN_PrimitiveString",
+            "JN_PrimitiveStringMultiline",
+            "JN_PrimitiveStringToArray",
+            "JN_PrimitiveToArray",
+            "JN_PrimitiveToBoolean",
+            "JN_PrimitiveToFloat",
+            "JN_PrimitiveToInt",
+            "JN_PrimitiveToString",
+            "JN_RemBGSession",
+            "JN_SaveAudio",
+            "JN_SaveImage",
+            "JN_Seamless",
+            "JN_SeamlessBorder",
+            "JN_SeamlessBorderCrop",
+            "JN_SelectItem",
+            "JN_Sleep",
+            "JN_SleepOutput",
+            "JN_SliceOperation",
+            "JN_StopIf",
+            "JN_StopIfOutput",
+            "JN_TensorInfo",
+            "JN_TextConcatenation",
+            "JN_TextReplace",
+            "JN_TimedeltaFormat",
+            "JN_TimedeltaInfo"
+        ],
+        {
+            "title_aux": "JNComfy"
+        }
+    ],
+    "https://github.com/john-mnz/ComfyUI-Inspyrenet-Rembg": [
+        [
+            "InspyrenetRembg",
+            "InspyrenetRembgAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI-Inspyrenet-Rembg"
+        }
+    ],
+    "https://github.com/jojkaart/ComfyUI-sampler-lcm-alternative": [
+        [
+            "LCMScheduler",
+            "SamplerLCMAlternative",
+            "SamplerLCMCycle",
+            "SamplerLCMDualNoise",
+            "SamplerLCMDuoFusion",
+            "SamplerLCMParallel"
+        ],
+        {
+            "title_aux": "ComfyUI-sampler-lcm-alternative"
+        }
+    ],
+    "https://github.com/jordoh/ComfyUI-Deepface": [
+        [
+            "DeepfaceExtractFaces",
+            "DeepfaceVerify"
+        ],
+        {
+            "title_aux": "ComfyUI Deepface"
+        }
+    ],
+    "https://github.com/jroc22/ComfyUI-CSV-prompt-builder": [
+        [
+            "BuildPromptFromCSV"
+        ],
+        {
+            "title_aux": "ComfyUI-CSV-prompt-builder"
+        }
+    ],
+    "https://github.com/jstit/comfyui_custom_node_image": [
+        [
+            "ImageCropCircle"
+        ],
+        {
+            "title_aux": "comfyui_custom_node_image"
+        }
+    ],
+    "https://github.com/jtrue/ComfyUI-JaRue": [
+        [
+            "Text2Image_jru",
+            "YouTube2Prompt_jru"
+        ],
+        {
+            "nodename_pattern": "_jru$",
+            "title_aux": "ComfyUI-JaRue"
+        }
+    ],
+    "https://github.com/jtydhr88/ComfyUI-LayerDivider": [
+        [
+            "LayerDivider - Color Base",
+            "LayerDivider - Divide Layer",
+            "LayerDivider - Load SAM Mask Generator",
+            "LayerDivider - Segment Mask"
+        ],
+        {
+            "title_aux": "ComfyUI LayerDivider"
+        }
+    ],
+    "https://github.com/jtydhr88/ComfyUI-Unique3D": [
+        [
+            "Unique3DLoadPipeline",
+            "Unique3DRun - Geo Reconstruct",
+            "Unique3DRun - MVPrediction"
+        ],
+        {
+            "title_aux": "ComfyUI Unique3D"
+        }
+    ],
+    "https://github.com/justUmen/Bjornulf_custom_nodes": [
+        [
+            "Bjornulf_CharacterDescriptionGenerator",
+            "Bjornulf_CheckBlackImage",
+            "Bjornulf_ClearVRAM",
+            "Bjornulf_CombineBackgroundOverlay",
+            "Bjornulf_CombineTexts",
+            "Bjornulf_CombineTextsByLines",
+            "Bjornulf_CustomStringType",
+            "Bjornulf_FreeVRAM",
+            "Bjornulf_GrayscaleTransform",
+            "Bjornulf_GreenScreenToTransparency",
+            "Bjornulf_ImageMaskCutter",
+            "Bjornulf_LoadImageWithTransparency",
+            "Bjornulf_LoopAllLines",
+            "Bjornulf_LoopBasicBatch",
+            "Bjornulf_LoopCombosSamplersSchedulers",
+            "Bjornulf_LoopFloat",
+            "Bjornulf_LoopImages",
+            "Bjornulf_LoopInteger",
+            "Bjornulf_LoopSamplers",
+            "Bjornulf_LoopSchedulers",
+            "Bjornulf_LoopTexts",
+            "Bjornulf_PassPreviewImage",
+            "Bjornulf_PauseResume",
+            "Bjornulf_PickInput",
+            "Bjornulf_RandomImage",
+            "Bjornulf_RandomLineFromInput",
+            "Bjornulf_RandomModelClipVae",
+            "Bjornulf_RandomTexts",
+            "Bjornulf_RemoveTransparency",
+            "Bjornulf_ResizeImage",
+            "Bjornulf_SaveApiImage",
+            "Bjornulf_SaveBjornulfLobeChat",
+            "Bjornulf_SaveImagePath",
+            "Bjornulf_SaveImageToFolder",
+            "Bjornulf_SaveText",
+            "Bjornulf_SaveTmpImage",
+            "Bjornulf_ShowFloat",
+            "Bjornulf_ShowInt",
+            "Bjornulf_ShowText",
+            "Bjornulf_TextToSpeech",
+            "Bjornulf_TextToStringAndSeed",
+            "Bjornulf_VideoPingPong",
+            "Bjornulf_WriteImageAllInOne",
+            "Bjornulf_WriteImageCharacter",
+            "Bjornulf_WriteImageCharacters",
+            "Bjornulf_WriteImageEnvironment",
+            "Bjornulf_WriteText",
+            "Bjornulf_WriteTextInConsole",
+            "Bjornulf_imagesToVideo",
+            "Bjornulf_ollamaLoader"
+        ],
+        {
+            "title_aux": "Bjornulf_custom_nodes"
+        }
+    ],
+    "https://github.com/k-komarov/comfyui-bunny-cdn-storage": [
+        [
+            "Save Image to BunnyStorage"
+        ],
+        {
+            "title_aux": "comfyui-bunny-cdn-storage"
+        }
+    ],
+    "https://github.com/ka-puna/comfyui-yanc": [
+        [
+            "YANC.ConcatStrings",
+            "YANC.FormatDatetimeString",
+            "YANC.GetWidgetValueString",
+            "YANC.IntegerCaster",
+            "YANC.MultilineString",
+            "YANC.SaveImageWEBP",
+            "YANC.TruncateString"
+        ],
+        {
+            "title_aux": "comfyui-yanc"
+        }
+    ],
+    "https://github.com/kaanyalova/ComfyUI_ExtendedImageFormats": [
+        [
+            "ExtendedSaveImage"
+        ],
+        {
+            "title_aux": "Extended Image Formats for ComfyUI"
+        }
+    ],
+    "https://github.com/kadirnar/ComfyUI-Transformers": [
+        [
+            "DepthEstimationInference",
+            "ImageClassificationPipeline",
+            "ImageSegmentationPipeline",
+            "LoadDepthModel",
+            "ObjectDetectionPipeline"
+        ],
+        {
+            "title_aux": "ComfyUI-Transformers"
+        }
+    ],
+    "https://github.com/kadirnar/ComfyUI-YOLO": [
+        [
+            "BBoxToCoco",
+            "BBoxToXYWH",
+            "BBoxVisNode",
+            "CocoToNumber",
+            "ConvertToDict",
+            "CustomUltralyticsModelLoader",
+            "GetImageSize",
+            "ImageResizeAdvanced",
+            "UltralyticsInference",
+            "UltralyticsModelLoader",
+            "UltralyticsVisualization",
+            "ViewText"
+        ],
+        {
+            "title_aux": "ComfyUI-YOLO"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-path-util": [
+        [
+            "path_util_PathAbspath",
+            "path_util_PathBasename",
+            "path_util_PathDirname",
+            "path_util_PathExists",
+            "path_util_PathIsdir",
+            "path_util_PathIsfile",
+            "path_util_PathJoin",
+            "path_util_PathRelpath",
+            "path_util_PathSplitext"
+        ],
+        {
+            "title_aux": "ComfyUI_demucus"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-speech-dataset-toolkit": [
+        [
+            "SDT_AudioProperty",
+            "SDT_ConcatAudio",
+            "SDT_CutAudio",
+            "SDT_DemucsApply",
+            "SDT_DemucsLoader",
+            "SDT_FasterWhisperListSegments",
+            "SDT_FasterWhisperLoader",
+            "SDT_FasterWhisperSegmentProperty",
+            "SDT_FasterWhisperTextFromSegments",
+            "SDT_FasterWhisperTranscribe",
+            "SDT_GriffinLim",
+            "SDT_JoinAudio",
+            "SDT_KotobaWhisperListSegments",
+            "SDT_KotobaWhisperLoaderLong",
+            "SDT_KotobaWhisperLoaderShort",
+            "SDT_KotobaWhisperSegmentProperty",
+            "SDT_KotobaWhisperTranscribeLong",
+            "SDT_KotobaWhisperTranscribeShort",
+            "SDT_LFCC",
+            "SDT_LoadAudio",
+            "SDT_LoadAudios",
+            "SDT_MFCC",
+            "SDT_MakeSilenceAudio",
+            "SDT_MelSpectrogram",
+            "SDT_NemoAsrListSegments",
+            "SDT_NemoAsrListSubwords",
+            "SDT_NemoAsrLoader",
+            "SDT_NemoAsrSegmentProperty",
+            "SDT_NemoAsrSubwordProperty",
+            "SDT_NemoAsrTranscribe",
+            "SDT_NueAsrLoader",
+            "SDT_NueAsrTranscribe",
+            "SDT_PlayAudio",
+            "SDT_PlotMelFilterBank",
+            "SDT_PlotPitch",
+            "SDT_PlotSpecgram",
+            "SDT_PlotSpectrogram",
+            "SDT_PlotWaveForm",
+            "SDT_ResampleAudio",
+            "SDT_SaveAudio",
+            "SDT_SaveAudioWithSequentialNumbering",
+            "SDT_SilenceAudio",
+            "SDT_SileroVADApply",
+            "SDT_SileroVADCollectChunks",
+            "SDT_SileroVADListTimestamps",
+            "SDT_SileroVADLoader",
+            "SDT_SileroVADTimestampProperty",
+            "SDT_Spectrogram",
+            "SDT_SpeechMOSLoader",
+            "SDT_SpeechMOSScore",
+            "SDT_SplitAudio",
+            "SDT_TrimAudio",
+            "SDT_TrimAudioBySample"
+        ],
+        {
+            "title_aux": "ComfyUI-speech-dataset-toolkit"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-string-util": [
+        [
+            "string_util_Str",
+            "string_util_StrConcat",
+            "string_util_StrCount",
+            "string_util_StrEndsWith",
+            "string_util_StrEqual",
+            "string_util_StrFind",
+            "string_util_StrFormat",
+            "string_util_StrJoin",
+            "string_util_StrLen",
+            "string_util_StrLower",
+            "string_util_StrLstrip",
+            "string_util_StrNotEqual",
+            "string_util_StrReplace",
+            "string_util_StrRstrip",
+            "string_util_StrSlice",
+            "string_util_StrSplit",
+            "string_util_StrStartsWith",
+            "string_util_StrStrip",
+            "string_util_StrUpper"
+        ],
+        {
+            "title_aux": "ComfyUI-string-util"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-text-file-util": [
+        [
+            "text_file_util_ReadAllLines",
+            "text_file_util_ReadAllText",
+            "text_file_util_WriteText",
+            "text_file_util_WriteTextLines",
+            "text_file_util_WriteTextWithSequentialNumbering"
+        ],
+        {
+            "title_aux": "ComfyUI-text-file-util"
+        }
+    ],
+    "https://github.com/kappa54m/ComfyUI_Usability": [
+        [
+            "KLoadImageByPath",
+            "KLoadImageByPathAdvanced",
+            "KLoadImageDedup"
+        ],
+        {
+            "title_aux": "ComfyUI Usability"
+        }
+    ],
+    "https://github.com/katalist-ai/comfyUI-nsfw-detection": [
+        [
+            "NudenetDetector"
+        ],
+        {
+            "title_aux": "comfyUI-nsfw-detection"
+        }
+    ],
+    "https://github.com/kealiu/ComfyUI-S3-Tools": [
+        [
+            "Load Image From S3",
+            "Save Image To S3"
+        ],
+        {
+            "title_aux": "ComfyUI Load and Save file to S3"
+        }
+    ],
+    "https://github.com/kealiu/ComfyUI-Zero123-Porting": [
+        [
+            "Zero123: Image Preprocess",
+            "Zero123: Image Rotate in 3D"
+        ],
+        {
+            "title_aux": "ComfyUI-Zero123-Porting"
+        }
+    ],
+    "https://github.com/kealiu/ComfyUI-ZeroShot-MTrans": [
+        [
+            "ZeST: Grayout Subject"
+        ],
+        {
+            "title_aux": "ComfyUI-ZeroShot-MTrans"
+        }
+    ],
+    "https://github.com/kenjiqq/qq-nodes-comfyui": [
+        [
+            "Any List",
+            "Any List Iterator",
+            "Any To Any",
+            "Axis Pack",
+            "Axis To Any",
+            "Axis Unpack",
+            "Load Lines From Text File",
+            "Slice List",
+            "Text Splitter",
+            "XY Grid Accumulator",
+            "XY Grid Helper"
+        ],
+        {
+            "title_aux": "qq-nodes-comfyui"
+        }
+    ],
+    "https://github.com/kft334/Knodes": [
+        [
+            "Image(s) To Websocket (Base64)",
+            "ImageOutput",
+            "Load Image (Base64)",
+            "Load Images (Base64)"
+        ],
+        {
+            "title_aux": "Knodes"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-ADMotionDirector": [
+        [
+            "ADMD_AdditionalModelSelect",
+            "ADMD_CheckpointLoader",
+            "ADMD_ComfyModelLoader",
+            "ADMD_DiffusersLoader",
+            "ADMD_InitializeTraining",
+            "ADMD_LoadLora",
+            "ADMD_MakeBatchList",
+            "ADMD_SaveLora",
+            "ADMD_TrainLora",
+            "ADMD_ValidationSampler",
+            "ADMD_ValidationSettings"
+        ],
+        {
+            "title_aux": "Animatediff MotionLoRA Trainer"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-APISR-KJ": [
+        [
+            "APISR_upscale"
+        ],
+        {
+            "title_aux": "ComfyUI-APISR"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-BrushNet-Wrapper": [
+        [
+            "brushnet_ella_loader",
+            "brushnet_ipadapter_matteo",
+            "brushnet_model_loader",
+            "brushnet_sampler",
+            "brushnet_sampler_ella",
+            "powerpaint_brushnet_sampler"
+        ],
+        {
+            "title_aux": "ComfyUI-BrushNet-Wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-CCSR": [
+        [
+            "CCSR_Model_Select",
+            "CCSR_Upscale",
+            "DownloadAndLoadCCSRModel"
+        ],
+        {
+            "title_aux": "ComfyUI-CCSR"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-CogVideoXWrapper": [
+        [
+            "CogVideoDecode",
+            "CogVideoImageEncode",
+            "CogVideoSampler",
+            "CogVideoTextEncode",
+            "DownloadAndLoadCogVideoModel"
+        ],
+        {
+            "title_aux": "ComfyUI CogVideoX Wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-ControlNeXt-SVD": [
+        [
+            "ControlNextDecode",
+            "ControlNextDiffusersScheduler",
+            "ControlNextGetPoses",
+            "ControlNextSVDApply",
+            "ControlNextSampler",
+            "DownloadAndLoadControlNeXt"
+        ],
+        {
+            "title_aux": "ComfyUI nodes for ControlNext-SVD v2"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DDColor": [
+        [
+            "DDColor_Colorize"
+        ],
+        {
+            "title_aux": "ComfyUI-DDColor"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DepthAnythingV2": [
+        [
+            "DepthAnything_V2",
+            "DownloadAndLoadDepthAnythingV2Model"
+        ],
+        {
+            "title_aux": "ComfyUI-DepthAnythingV2"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DiffusionLight": [
+        [
+            "chrome_ball_to_envmap",
+            "exposure_to_hdr"
+        ],
+        {
+            "title_aux": "DiffusionLight implementation for ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DynamiCrafterWrapper": [
+        [
+            "DownloadAndLoadCLIPModel",
+            "DownloadAndLoadCLIPVisionModel",
+            "DownloadAndLoadDynamiCrafterCNModel",
+            "DownloadAndLoadDynamiCrafterModel",
+            "DynamiCrafterBatchInterpolation",
+            "DynamiCrafterCNLoader",
+            "DynamiCrafterControlnetApply",
+            "DynamiCrafterI2V",
+            "DynamiCrafterLoadInitNoise",
+            "DynamiCrafterModelLoader",
+            "ToonCrafterDecode",
+            "ToonCrafterInterpolation"
+        ],
+        {
+            "title_aux": "ComfyUI-DynamiCrafterWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-ELLA-wrapper": [
+        [
+            "diffusers_model_loader",
+            "diffusers_sampler",
+            "ella_model_loader",
+            "ella_sampler",
+            "ella_t5_embeds"
+        ],
+        {
+            "title_aux": "ComfyUI-ELLA-wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-Florence2": [
+        [
+            "DownloadAndLoadFlorence2Lora",
+            "DownloadAndLoadFlorence2Model",
+            "Florence2ModelLoader",
+            "Florence2Run"
+        ],
+        {
+            "title_aux": "ComfyUI-Florence2"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-FluxTrainer": [
+        [
+            "ExtractFluxLoRA",
+            "FluxKohyaInferenceSampler",
+            "FluxTrainBlockSelect",
+            "FluxTrainEnd",
+            "FluxTrainLoop",
+            "FluxTrainModelSelect",
+            "FluxTrainResume",
+            "FluxTrainSave",
+            "FluxTrainSaveModel",
+            "FluxTrainValidate",
+            "FluxTrainValidationSettings",
+            "InitFluxLoRATraining",
+            "InitFluxTraining",
+            "OptimizerConfig",
+            "OptimizerConfigAdafactor",
+            "OptimizerConfigProdigy",
+            "TrainDatasetAdd",
+            "TrainDatasetGeneralConfig",
+            "TrainDatasetRegularization",
+            "UploadToHuggingFace",
+            "VisualizeLoss"
+        ],
+        {
+            "title_aux": "ComfyUI Flux Trainer"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-Geowizard": [
+        [
+            "geowizard_model_loader",
+            "geowizard_sampler"
+        ],
+        {
+            "title_aux": "Geowizard depth and normal estimation in ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-IC-Light": [
+        [
+            "BackgroundScaler",
+            "CalculateNormalsFromImages",
+            "DetailTransfer",
+            "ICLightConditioning",
+            "LightSource",
+            "LoadAndApplyICLightUnet",
+            "LoadHDRImage"
+        ],
+        {
+            "title_aux": "ComfyUI-IC-Light"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-KJNodes": [
+        [
+            "AddLabel",
+            "AppendInstanceDiffusionTracking",
+            "BatchCLIPSeg",
+            "BatchCropFromMask",
+            "BatchCropFromMaskAdvanced",
+            "BatchUncrop",
+            "BatchUncropAdvanced",
+            "BboxToInt",
+            "BboxVisualize",
+            "CameraPoseVisualizer",
+            "CheckpointPerturbWeights",
+            "ColorMatch",
+            "ColorToMask",
+            "CondPassThrough",
+            "ConditioningMultiCombine",
+            "ConditioningSetMaskAndCombine",
+            "ConditioningSetMaskAndCombine3",
+            "ConditioningSetMaskAndCombine4",
+            "ConditioningSetMaskAndCombine5",
+            "CreateAudioMask",
+            "CreateFadeMask",
+            "CreateFadeMaskAdvanced",
+            "CreateFluidMask",
+            "CreateGradientFromCoords",
+            "CreateGradientMask",
+            "CreateInstanceDiffusionTracking",
+            "CreateMagicMask",
+            "CreateShapeImageOnPath",
+            "CreateShapeMask",
+            "CreateShapeMaskOnPath",
+            "CreateTextMask",
+            "CreateTextOnPath",
+            "CreateVoronoiMask",
+            "CrossFadeImages",
+            "CustomSigmas",
+            "DifferentialDiffusionAdvanced",
+            "DownloadAndLoadCLIPSeg",
+            "DrawInstanceDiffusionTracking",
+            "DummyOut",
+            "EmptyLatentImagePresets",
+            "FilterZeroMasksAndCorrespondingImages",
+            "FlipSigmasAdjusted",
+            "FloatConstant",
+            "FloatToMask",
+            "FloatToSigmas",
+            "FluxBlockLoraLoader",
+            "FluxBlockLoraSelect",
+            "GLIGENTextBoxApplyBatchCoords",
+            "GenerateNoise",
+            "GetImageRangeFromBatch",
+            "GetImageSizeAndCount",
+            "GetImagesFromBatchIndexed",
+            "GetLatentsFromBatchIndexed",
+            "GetMaskSizeAndCount",
+            "GradientToFloat",
+            "GrowMaskWithBlur",
+            "INTConstant",
+            "ImageAddMulti",
+            "ImageAndMaskPreview",
+            "ImageBatchMulti",
+            "ImageBatchRepeatInterleaving",
+            "ImageBatchTestPattern",
+            "ImageConcanate",
+            "ImageConcatFromBatch",
+            "ImageConcatMulti",
+            "ImageGrabPIL",
+            "ImageGridComposite2x2",
+            "ImageGridComposite3x3",
+            "ImageGridtoBatch",
+            "ImageNormalize_Neg1_To_1",
+            "ImagePadForOutpaintMasked",
+            "ImagePadForOutpaintTargetSize",
+            "ImagePass",
+            "ImageResizeKJ",
+            "ImageTransformByNormalizedAmplitude",
+            "ImageUpscaleWithModelBatched",
+            "InjectNoiseToLatent",
+            "InsertImageBatchByIndexes",
+            "InsertImagesToBatchIndexed",
+            "InterpolateCoords",
+            "Intrinsic_lora_sampling",
+            "JoinStringMulti",
+            "JoinStrings",
+            "LoadAndResizeImage",
+            "LoadImagesFromFolderKJ",
+            "LoadResAdapterNormalization",
+            "MaskBatchMulti",
+            "MaskOrImageToWeight",
+            "MergeImageChannels",
+            "ModelPassThrough",
+            "NormalizedAmplitudeToFloatList",
+            "NormalizedAmplitudeToMask",
+            "OffsetMask",
+            "OffsetMaskByNormalizedAmplitude",
+            "PlotCoordinates",
+            "PointsEditor",
+            "PreviewAnimation",
+            "RemapImageRange",
+            "RemapMaskRange",
+            "ReplaceImagesInBatch",
+            "ResizeMask",
+            "ReverseImageBatch",
+            "RoundMask",
+            "SV3D_BatchSchedule",
+            "SaveImageWithAlpha",
+            "ScaleBatchPromptSchedule",
+            "Screencap_mss",
+            "Sleep",
+            "SomethingToString",
+            "SoundReactive",
+            "SplineEditor",
+            "SplitBboxes",
+            "SplitImageChannels",
+            "StabilityAPI_SD3",
+            "StableZero123_BatchSchedule",
+            "StringConstant",
+            "StringConstantMultiline",
+            "Superprompt",
+            "VRAM_Debug",
+            "WebcamCaptureCV2",
+            "WeightScheduleConvert",
+            "WeightScheduleExtend",
+            "WidgetToString"
+        ],
+        {
+            "title_aux": "KJNodes for ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-KwaiKolorsWrapper": [
+        [
+            "DownloadAndLoadChatGLM3",
+            "DownloadAndLoadKolorsModel",
+            "KolorsSampler",
+            "KolorsTextEncode",
+            "LoadChatGLM3"
+        ],
+        {
+            "title_aux": "ComfyUI-KwaiKolorsWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LLaVA-OneVision": [
+        [
+            "DownloadAndLoadLLaVAOneVisionModel",
+            "LLaVA_OneVision_Run",
+            "OneVisionCaptionFolder",
+            "SaveCaptionToTextFile"
+        ],
+        {
+            "title_aux": "ComfyUI Llava-OneVision"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LaVi-Bridge-Wrapper": [
+        [
+            "lavi_bridge_llama_encoder",
+            "lavi_bridge_t5_encoder",
+            "lavibridge_model_loader",
+            "lavibridge_sampler"
+        ],
+        {
+            "title_aux": "ComfyUI-LaVi-Bridge-Wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LivePortraitKJ": [
+        [
+            "DownloadAndLoadLivePortraitModels",
+            "KeypointScaler",
+            "KeypointsToImage",
+            "LivePortraitComposite",
+            "LivePortraitCropper",
+            "LivePortraitLoadCropper",
+            "LivePortraitLoadFaceAlignmentCropper",
+            "LivePortraitLoadMediaPipeCropper",
+            "LivePortraitProcess",
+            "LivePortraitRetargeting"
+        ],
+        {
+            "title_aux": "ComfyUI-LivePortraitKJ"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LuminaWrapper": [
+        [
+            "DownloadAndLoadGemmaModel",
+            "DownloadAndLoadLuminaModel",
+            "GemmaSampler",
+            "LuminaGemmaTextEncode",
+            "LuminaGemmaTextEncodeArea",
+            "LuminaT2ISampler",
+            "LuminaTextAreaAppend"
+        ],
+        {
+            "title_aux": "ComfyUI-LuminaWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-Marigold": [
+        [
+            "ColorizeDepthmap",
+            "MarigoldDepthEstimation",
+            "MarigoldDepthEstimationVideo",
+            "MarigoldDepthEstimation_v2",
+            "MarigoldDepthEstimation_v2_video",
+            "MarigoldModelLoader",
+            "RemapDepth",
+            "SaveImageOpenEXR"
+        ],
+        {
+            "title_aux": "Marigold depth estimation in ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-MimicMotionWrapper": [
+        [
+            "DiffusersScheduler",
+            "DownloadAndLoadMimicMotionModel",
+            "MimicMotionDecode",
+            "MimicMotionGetPoses",
+            "MimicMotionSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-MimicMotionWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-OpenDiTWrapper": [
+        [
+            "DownloadAndLoadOpenDiTT5Model",
+            "DownloadAndLoadOpenSoraModel",
+            "DownloadAndLoadOpenSoraVAE",
+            "OpenDiTConditioning",
+            "OpenDiTSampler",
+            "OpenSoraDecode",
+            "OpenSoraEncodeReference"
+        ],
+        {
+            "title_aux": "ComfyUI-OpenDiTWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-SUPIR": [
+        [
+            "SUPIR_Upscale",
+            "SUPIR_conditioner",
+            "SUPIR_decode",
+            "SUPIR_encode",
+            "SUPIR_first_stage",
+            "SUPIR_model_loader",
+            "SUPIR_model_loader_v2",
+            "SUPIR_model_loader_v2_clip",
+            "SUPIR_sample",
+            "SUPIR_tiles"
+        ],
+        {
+            "title_aux": "ComfyUI-SUPIR"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-depth-fm": [
+        [
+            "Depth_fm"
+        ],
+        {
+            "title_aux": "ComfyUI-depth-fm"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-moondream": [
+        [
+            "MoondreamQuery",
+            "MoondreamQueryCaptions"
+        ],
+        {
+            "title_aux": "ComfyUI-moondream"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-segment-anything-2": [
+        [
+            "DownloadAndLoadSAM2Model",
+            "Florence2toCoordinates",
+            "Sam2AutoSegmentation",
+            "Sam2Segmentation",
+            "Sam2VideoSegmentation",
+            "Sam2VideoSegmentationAddPoints"
+        ],
+        {
+            "title_aux": "ComfyUI-segment-anything-2"
+        }
+    ],
+    "https://github.com/kinfolk0117/ComfyUI_GradientDeepShrink": [
+        [
+            "GradientPatchModelAddDownscale",
+            "GradientPatchModelAddDownscaleAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI_GradientDeepShrink"
+        }
+    ],
+    "https://github.com/kinfolk0117/ComfyUI_Pilgram": [
+        [
+            "Pilgram"
+        ],
+        {
+            "title_aux": "ComfyUI_Pilgram"
+        }
+    ],
+    "https://github.com/kinfolk0117/ComfyUI_SimpleTiles": [
+        [
+            "DynamicTileMerge",
+            "DynamicTileSplit",
+            "TileCalc",
+            "TileMerge",
+            "TileSplit"
+        ],
+        {
+            "title_aux": "SimpleTiles"
+        }
+    ],
+    "https://github.com/klinter007/klinter_nodes": [
+        [
+            "Filter",
+            "Florence2Captions2IPA",
+            "PresentString",
+            "SingleString",
+            "SizeSelector",
+            "YellowBus",
+            "YellowBusV2",
+            "concat"
+        ],
+        {
+            "title_aux": "Klinter_nodes"
+        }
+    ],
+    "https://github.com/knuknX/ComfyUI-Image-Tools": [
+        [
+            "BatchImagePathLoader",
+            "ImageBgRemoveProcessor",
+            "ImageCheveretoUploader",
+            "ImageStandardResizeProcessor",
+            "JSONMessageNotifyTool",
+            "PreviewJSONNode",
+            "SingleImagePathLoader",
+            "SingleImageUrlLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Tools"
+        }
+    ],
+    "https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI": [
+        [
+            "LLLiteLoader"
+        ],
+        {
+            "title_aux": "ControlNet-LLLite-ComfyUI"
+        }
+    ],
+    "https://github.com/komojini/ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes": [
+        [
+            "S3 Bucket LoRA",
+            "S3Bucket_Load_LoRA",
+            "XL DreamBooth LoRA",
+            "XLDB_LoRA"
+        ],
+        {
+            "title_aux": "ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes"
+        }
+    ],
+    "https://github.com/komojini/komojini-comfyui-nodes": [
+        [
+            "BatchCreativeInterpolationNodeDynamicSettings",
+            "CachedGetter",
+            "DragNUWAImageCanvas",
+            "FlowBuilder",
+            "FlowBuilder (adv)",
+            "FlowBuilder (advanced)",
+            "FlowBuilder (advanced) Setter",
+            "FlowBuilderSetter",
+            "FlowBuilderSetter (adv)",
+            "Getter",
+            "ImageCropByRatio",
+            "ImageCropByRatioAndResize",
+            "ImageGetter",
+            "ImageMerger",
+            "ImagesCropByRatioAndResizeBatch",
+            "KSamplerAdvancedCacheable",
+            "KSamplerCacheable",
+            "Setter",
+            "UltimateVideoLoader",
+            "UltimateVideoLoader (simple)",
+            "YouTubeVideoLoader"
+        ],
+        {
+            "title_aux": "komojini-comfyui-nodes"
+        }
+    ],
+    "https://github.com/kudou-reira/ComfyUI_StringToHex": [
+        [
+            "ColorNameToHex"
+        ],
+        {
+            "title_aux": "ComfyUI_StringToHex"
+        }
+    ],
+    "https://github.com/kulsisme/openart-comfyui-deploy": [
+        [
+            "ComfyDeployWebscoketImageInput",
+            "ComfyDeployWebscoketImageOutput",
+            "ComfyUIDeployExternalBoolean",
+            "ComfyUIDeployExternalCheckpoint",
+            "ComfyUIDeployExternalImage",
+            "ComfyUIDeployExternalImageAlpha",
+            "ComfyUIDeployExternalImageBatch",
+            "ComfyUIDeployExternalLora",
+            "ComfyUIDeployExternalNumber",
+            "ComfyUIDeployExternalNumberInt",
+            "ComfyUIDeployExternalNumberSlider",
+            "ComfyUIDeployExternalTextList",
+            "ComfyUIDeployExternalVid",
+            "ComfyUIDeployExternalVideo",
+            "OpenArtDeployText"
+        ],
+        {
+            "title_aux": "openart-comfyui-deploy"
+        }
+    ],
+    "https://github.com/kunieone/ComfyUI_alkaid": [
+        [
+            "A_EmptyLatentImageLongside",
+            "A_Face3DSwapper",
+            "A_FaceCrop",
+            "A_FacePaste",
+            "A_GetImageSize",
+            "A_OpenPosePreprocessor",
+            "AdapterFace",
+            "AdapterFaceLoader",
+            "AdapterStyle",
+            "AdapterStyleLoader",
+            "AlkaidLoader",
+            "ApplyAdapter",
+            "ApplyControlNet_KPS",
+            "CombineAdapterPatch",
+            "KSamplerHires"
+        ],
+        {
+            "title_aux": "ComfyUI_alkaid"
+        }
+    ],
+    "https://github.com/kwaroran/abg-comfyui": [
+        [
+            "Remove Image Background (abg)"
+        ],
+        {
+            "title_aux": "abg-comfyui"
+        }
+    ],
+    "https://github.com/l20richo/ComfyUI-Azure-Blob-Storage": [
+        [
+            "DownloadFileBLOB",
+            "LoadImageBLOB",
+            "SaveImageBLOB",
+            "SaveVideoFilesBLOB",
+            "UploadFileBLOB"
+        ],
+        {
+            "title_aux": "ComfyUI-Azure-Blob-Storage"
+        }
+    ],
+    "https://github.com/laksjdjf/Batch-Condition-ComfyUI": [
+        [
+            "Batch String",
+            "CLIP Text Encode (Batch)",
+            "String Input"
+        ],
+        {
+            "title_aux": "Batch-Condition-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/LCMSampler-ComfyUI": [
+        [
+            "SamplerLCM",
+            "TAESDLoader"
+        ],
+        {
+            "title_aux": "LCMSampler-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/LoRTnoC-ComfyUI": [
+        [
+            "LortnocLoader"
+        ],
+        {
+            "title_aux": "LoRTnoC-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI": [
+        [
+            "CDTuner",
+            "Negapip",
+            "Negpip"
+        ],
+        {
+            "title_aux": "cd-tuner_negpip-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/cgem156-ComfyUI": [
+        [
+            "GradualLatentSampler",
+            "LCMSamplerRCFG",
+            "LoadAestheticShadow",
+            "PredictAesthetic",
+            "TCDSampler",
+            "TextScheduler"
+        ],
+        {
+            "title_aux": "cgem156-ComfyUI\ud83c\udf4c"
+        }
+    ],
+    "https://github.com/laksjdjf/pfg-ComfyUI": [
+        [
+            "PFG"
+        ],
+        {
+            "title_aux": "pfg-ComfyUI"
+        }
+    ],
+    "https://github.com/larsupb/LoRA-Merger-ComfyUI": [
+        [
+            "PM LoRA Apply",
+            "PM LoRA Loader",
+            "PM LoRA Merger",
+            "PM LoRA Resizer",
+            "PM LoRA SVD Merger",
+            "PM LoRA Save",
+            "XY: PM LoRA Modes",
+            "XY: PM LoRA SVD Rank",
+            "XY: PM LoRA Strengths"
+        ],
+        {
+            "title_aux": "LoRA Power-Merger ComfyUI"
+        }
+    ],
+    "https://github.com/latenightlabs/ComfyUI-LNL": [
+        [
+            "LNL_FrameSelector",
+            "LNL_FrameSelectorV2",
+            "LNL_FrameSelectorV3"
+        ],
+        {
+            "title_aux": "LNL Frame Selector"
+        }
+    ],
+    "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX": [
+        [
+            "HeadOrientationNode"
+        ],
+        {
+            "title_aux": "Head Orientation Node"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_CrossImageAttention": [
+        [
+            "AppearanceTransferInference",
+            "AppearanceTransferModelModelLoader",
+            "CIAConfig",
+            "LoadImagePath",
+            "LoadLatents"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use CrossImageAttention"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_InternVL2": [
+        [
+            "DynamicPreprocess",
+            "InternVLHFInference",
+            "InternVLLMDEPLOYInference",
+            "InternVLModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI_InternVL2"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_LLaSM": [
+        [
+            "LLaSM2Interface",
+            "LLaSM2ModelLoader",
+            "LLaSMLoadAudio"
+        ],
+        {
+            "title_aux": "ComfyUI_LLaSM"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_M3Net": [
+        [
+            "M3Net_Interface",
+            "M3Net_ModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI_M3Net"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_MasaCtrl": [
+        [
+            "DirectSampler",
+            "MasaCtrlConcatImage",
+            "MasaCtrlInversion",
+            "MasaCtrlLoadImage",
+            "MasaCtrlModelLoader",
+            "MutualSelfAttentionControlMaskAutoSampler",
+            "MutualSelfAttentionControlSampler"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use MasaCtrl"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_Style_Aligned": [
+        [
+            "SAControlnet_ModelLoader",
+            "SADepth",
+            "SAHandler",
+            "SAInversion",
+            "SASDXLControlnetKsampler",
+            "SASDXLKampler",
+            "SASDXLTransferKsampler",
+            "SASDXL_ModelLoader",
+            "SchedulerLoader"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use Style-Aligned"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_VideoEditing": [
+        [
+            "LoadVideo2Images",
+            "VEdit_ControlNet_ModelLoader",
+            "VEdit_ModelLoader",
+            "VEdit_Sampler",
+            "VEdit_image2canny"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use VideoEditing"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_VisualAttentionMap": [
+        [
+            "DecodeLatent",
+            "HFModelLoader",
+            "ShowCrossAttn",
+            "ShowImages",
+            "ShowSelfAttn",
+            "Text2ImageInference"
+        ],
+        {
+            "title_aux": "ComfyUI_VisualAttentionMap"
+        }
+    ],
+    "https://github.com/leestuartx/ComfyUI-GG": [
+        [
+            "AddPaddingToImage",
+            "ForLoopNode",
+            "ImageMetadataExtractor",
+            "InputNode",
+            "MetadataExtractBySeed",
+            "MetadataExtractorBySeed",
+            "OutputNode",
+            "ResizeImageProportionally",
+            "WorkspaceNode"
+        ],
+        {
+            "title_aux": "ComfyUI-GG"
+        }
+    ],
+    "https://github.com/leiweiqiang/ComfyUI-TRA": [
+        [
+            "TclEbSynth",
+            "TclEbSynthBatch",
+            "TclExr2png",
+            "TclExtractFramesFromVideo",
+            "TclExtractFramesFromVideoFile",
+            "TclFrames2Video",
+            "TclFresco",
+            "TclLoraGenDatasets",
+            "TclLoraSaveImages",
+            "TclLoraTraining",
+            "TclSaveVideoFromFrames",
+            "TclYoloV8Segmentation",
+            "TclYoloV9Segmentation"
+        ],
+        {
+            "title_aux": "ComfyUI-TRA"
+        }
+    ],
+    "https://github.com/lenskikh/ComfyUI-Prompt-Worker": [
+        [
+            "Prompt Worker"
+        ],
+        {
+            "title_aux": "Propmt Worker"
+        }
+    ],
+    "https://github.com/leoleelxh/ComfyUI-LLMs": [
+        [
+            "\ud83d\uddbc\ufe0f LLMs_Vison_Ali",
+            "\ud83d\uddbc\ufe0f LLMs_Vison_GLM4",
+            "\ud83d\uddbc\ufe0f LLMs_Vison_Gemini",
+            "\ud83d\ude00 LLMs_Chat",
+            "\ud83d\ude00 LLMs_Chat_GLM4_Only"
+        ],
+        {
+            "title_aux": "ComfyUI-LLMs"
+        }
+    ],
+    "https://github.com/liangt/comfyui-loadimagewithsubfolder": [
+        [
+            "LoadImageWithSubfolder"
+        ],
+        {
+            "title_aux": "comfyui-loadimagewithsubfolder"
+        }
+    ],
+    "https://github.com/linshier/comfyui-remote-tools": [
+        [
+            "LoadBase64(js)",
+            "LoadBase64FromRemote",
+            "SendBase64ToRemote"
+        ],
+        {
+            "title_aux": "comfyui-remote-tools"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-AutoCropFaces": [
+        [
+            "AutoCropFaces"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoCropFaces"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-B-LoRA": [
+        [
+            "LoadBLoRA"
+        ],
+        {
+            "title_aux": "ComfyUI-B-LoRA"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-Debug": [
+        [
+            "DebugInspectorNode",
+            "DebugModelInspectorNode",
+            "DebugModelPrintOutNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Debug"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-Login": [
+        [
+            "LoadImageIncognito"
+        ],
+        {
+            "title_aux": "ComfyUI-Login"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-SD3-nodes": [
+        [
+            "SD3EmptyLatent",
+            "SD3LoadCLIPs",
+            "SD3LoadCheckpoint"
+        ],
+        {
+            "title_aux": "ComfyUI-SD3-nodes"
+        }
+    ],
+    "https://github.com/ljleb/comfy-mecha": [
+        [
+            "Blocks Mecha Hyper",
+            "Float Mecha Hyper",
+            "Lora Mecha Recipe",
+            "Mecha Deserializer",
+            "Mecha Merger",
+            "Mecha Recipe List",
+            "Mecha Serializer",
+            "Model Mecha Recipe"
+        ],
+        {
+            "title_aux": "Mecha Merge Node Pack"
+        }
+    ],
+    "https://github.com/lks-ai/ComfyUI-StableAudioSampler": [
+        [
+            "StableAudioConditioning",
+            "StableAudioLoadModel",
+            "StableAudioPrompt",
+            "StableAudioSampler"
+        ],
+        {
+            "author": "lks-ai",
+            "description": "A Simple integration of Stable Audio Diffusion with knobs and stuff!",
+            "nickname": "stableaudio",
+            "title": "StableAudioSampler",
+            "title_aux": "ComfyUI Stable Audio Open 1.0 Sampler"
+        }
+    ],
+    "https://github.com/lks-ai/anynode": [
+        [
+            "AnyNode",
+            "AnyNodeAnthropic",
+            "AnyNodeCodeViewer",
+            "AnyNodeExport",
+            "AnyNodeGemini",
+            "AnyNodeLocal"
+        ],
+        {
+            "author": "newsbubbles",
+            "description": "This single node uses an LLM to generate a functionality based on your request. You can make the node do anything.",
+            "nickname": "AnyNode",
+            "title": "AnyNode v0.1.1",
+            "title_aux": "ComfyUI AnyNode: Any Node you ask for"
+        }
+    ],
+    "https://github.com/lldacing/ComfyUI_BiRefNet_ll": [
+        [
+            "AutoDownloadBiRefNetModel",
+            "LoadRembgByBiRefNetModel",
+            "RembgByBiRefNet"
+        ],
+        {
+            "title_aux": "ComfyUI_BiRefNet_ll"
+        }
+    ],
+    "https://github.com/lldacing/comfyui-easyapi-nodes": [
+        [
+            "Base64ToImage",
+            "Base64ToMask",
+            "BboxToBbox",
+            "BboxToCropData",
+            "BboxesToBboxes",
+            "ColorPicker",
+            "CropImageByBbox",
+            "GetImageBatchSize",
+            "ImageEqual",
+            "ImageToBase64",
+            "ImageToBase64Advanced",
+            "InsightFaceBBOXDetect",
+            "IntToList",
+            "IntToNumber",
+            "JoinList",
+            "ListMerge",
+            "ListWrapper",
+            "LoadImageFromURL",
+            "LoadImageToBase64",
+            "LoadMaskFromURL",
+            "MaskByBboxes",
+            "MaskImageToBase64",
+            "MaskToBase64",
+            "MaskToBase64Image",
+            "SDBaseVerNumber",
+            "SamAutoMaskSEGS",
+            "SelectBbox",
+            "SelectBboxes",
+            "ShowBoolean",
+            "ShowFloat",
+            "ShowInt",
+            "ShowNumber",
+            "ShowString",
+            "StringToList"
+        ],
+        {
+            "title_aux": "comfyui-easyapi-nodes"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-4DHumans": [
+        [
+            "LoadDetectron",
+            "LoadHMR",
+            "ProcessHumans",
+            "SelectHuman"
+        ],
+        {
+            "title_aux": "ComfyUI-4DHumans"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-DiLightNet": [
+        [
+            "LoadDiLightControlNet",
+            "PrepareDiLightCond"
+        ],
+        {
+            "title_aux": "ComfyUI-DiLightNet"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-FLATTEN": [
+        [
+            "ApplyFlattenAttentionNode",
+            "CreateFlowNoiseNode",
+            "FlattenCheckpointLoaderNode",
+            "KSamplerFlattenNode",
+            "TrajectoryNode",
+            "UnsamplerFlattenNode"
+        ],
+        {
+            "title_aux": "ComfyUI-FLATTEN"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-InstanceDiffusion": [
+        [
+            "ApplyScaleUModelNode",
+            "DownloadInstanceDiffusionModels",
+            "InstanceDiffusionTrackingPrompt",
+            "LoadInstanceFusersNode",
+            "LoadInstancePositionNetModel",
+            "LoadInstanceScaleUNode"
+        ],
+        {
+            "title_aux": "InstanceDiffusion Nodes"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-InversedNoise": [
+        [
+            "CombineNoiseLatentNode",
+            "MixNoiseNode",
+            "SamplerInversedEulerNode"
+        ],
+        {
+            "title_aux": "ComfyUI-InversedNoise"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-MotionThiefExperiment": [
+        [
+            "ApplyRefMotionNode",
+            "MotionRefSettingsCustomNode",
+            "MotionRefSettingsDefaultNode"
+        ],
+        {
+            "title_aux": "ComfyUI-MotionThiefExperiment"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-RAVE_ATTN": [
+        [
+            "ApplyRaveAttentionNode",
+            "AttentionOverrideSD15Node",
+            "AttentionOverrideSDXLNode"
+        ],
+        {
+            "title_aux": "ComfyUI-RAVE Attention"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-ReNoise": [
+        [
+            "ReNoiseModelSamplingPred",
+            "ReNoiseSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-ReNoise"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-RefSampling": [
+        [
+            "ApplyRefContentNode",
+            "ApplyRefStyleNode",
+            "ApplyRefUNetNode"
+        ],
+        {
+            "title_aux": "ComfyUI-RefSampling"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-RefUNet": [
+        [
+            "ConfigRefMapAdv",
+            "ConfigureRefNet",
+            "CreateRefBank",
+            "CustomRefMapSD1",
+            "PrepareRefLatents",
+            "ReadSampler",
+            "RefModelSamplingPred",
+            "VisionClipEncode",
+            "WriteSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-RefUNet"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-SEGAttention": [
+        [
+            "SEGAttention"
+        ],
+        {
+            "title_aux": "ComfyUI-SEGAttention"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-SSREncoder": [
+        [
+            "ApplySSR",
+            "EncodeSSRQuery",
+            "LoadSSRAligner",
+            "LoadSSRAttention"
+        ],
+        {
+            "title_aux": "ComfyUI-SSREncoder"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-SeeCoder": [
+        [
+            "LoadSeeCoder",
+            "LoadSeeCoderUncond",
+            "SeecoderEncode"
+        ],
+        {
+            "title_aux": "ComfyUI-SeeCoder"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-TrackingNodes": [
+        [
+            "OpenPoseTrackerNode",
+            "YOLOTrackerNode"
+        ],
+        {
+            "title_aux": "Tracking Nodes for Videos"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-common-util": [
+        [
+            "Added Layer Info To Array",
+            "Enhanced Random Light Source",
+            "Float Relay",
+            "Image Relay",
+            "Init Layer Info Array",
+            "Int Relay",
+            "Layer Image Seleted",
+            "Layer Images IPAdapter Advanced",
+            "Layer Info Array Fuse",
+            "Mask Relay",
+            "String Relay"
+        ],
+        {
+            "title_aux": "comfyui-common-util"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-llm-assistant": [
+        [
+            "Chat With LLM",
+            "Generate Stable Diffsution Prompt With LLM",
+            "Translate Text With LLM"
+        ],
+        {
+            "title_aux": "comfyui-llm-assistant"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-magic-clothing": [
+        [
+            "Add Magic Clothing Attention",
+            "Change Pipeline Dtype And Device",
+            "Change Pixel Value Normalization",
+            "Diffusers Model Makeup &MC",
+            "Diffusers Scheduler Loader &MC",
+            "Load Magic Clothing Adapter",
+            "Load Magic Clothing Model",
+            "Load Magic Clothing Pipeline",
+            "Load Magic Clothing Pipeline With Path",
+            "RUN Magic Clothing Diffusers Model"
+        ],
+        {
+            "title_aux": "comfyui-magic-clothing"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-mask-util": [
+        [
+            "Image Adaptive Crop M&R",
+            "Image Adaptive Crop With Mask",
+            "Image Change DType",
+            "Image Change Device",
+            "Image Resolution Adaptive With X",
+            "Image Resolution Limit With 8K",
+            "Load Image With Name",
+            "Mask Change DType",
+            "Mask Change Device",
+            "Mask Selection Of Masks",
+            "Model Change Device",
+            "Model Change Device Repeaters",
+            "Output Image To Input",
+            "Split Masks"
+        ],
+        {
+            "title_aux": "comfyui-mask-util"
+        }
+    ],
+    "https://github.com/lordgasmic/ComfyUI-Wildcards/raw/master/wildcards.py": [
+        [
+            "CLIPTextEncodeWithWildcards"
+        ],
+        {
+            "title_aux": "Wildcards"
+        }
+    ],
+    "https://github.com/lordgasmic/comfyui_save_image_with_options": [
+        [
+            "SaveImageWithOptions"
+        ],
+        {
+            "title_aux": "comfyui_save_image_with_options"
+        }
+    ],
+    "https://github.com/lordgasmic/comfyui_wildcards": [
+        [
+            "CLIPTextEncodeWithWildcards"
+        ],
+        {
+            "title_aux": "comfyui_wildcards"
+        }
+    ],
+    "https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch": [
+        [
+            "InpaintCrop",
+            "InpaintExtendOutpaint",
+            "InpaintResize",
+            "InpaintStitch"
+        ],
+        {
+            "title_aux": "ComfyUI-Inpaint-CropAndStitch"
+        }
+    ],
+    "https://github.com/lquesada/ComfyUI-Prompt-Combinator": [
+        [
+            "PromptCombinator",
+            "PromptCombinatorExportGallery",
+            "PromptCombinatorMerger",
+            "PromptCombinatorRandomPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompt-Combinator"
+        }
+    ],
+    "https://github.com/lrzjason/ComfyUIJasonNode/raw/main/SDXLMixSampler.py": [
+        [
+            "SDXLMixSampler"
+        ],
+        {
+            "title_aux": "ComfyUIJasonNode"
+        }
+    ],
+    "https://github.com/lrzjason/Comfyui-Kolors-Utils": [
+        [
+            "SaveKolors",
+            "SaveWeightAsKolorsUnet"
+        ],
+        {
+            "title_aux": "Comfyui Kolors Utils"
+        }
+    ],
+    "https://github.com/ltdrdata/ComfyUI-Impact-Pack": [
+        [
+            "AddMask",
+            "BasicPipeToDetailerPipe",
+            "BasicPipeToDetailerPipeSDXL",
+            "BboxDetectorCombined",
+            "BboxDetectorCombined_v2",
+            "BboxDetectorForEach",
+            "BboxDetectorSEGS",
+            "BitwiseAndMask",
+            "BitwiseAndMaskForEach",
+            "CLIPSegDetectorProvider",
+            "CfgScheduleHookProvider",
+            "CombineRegionalPrompts",
+            "CoreMLDetailerHookProvider",
+            "CustomNoiseDetailerHookProvider",
+            "DenoiseScheduleHookProvider",
+            "DenoiseSchedulerDetailerHookProvider",
+            "DetailerForEach",
+            "DetailerForEachDebug",
+            "DetailerForEachDebugPipe",
+            "DetailerForEachPipe",
+            "DetailerForEachPipeForAnimateDiff",
+            "DetailerHookCombine",
+            "DetailerPipeToBasicPipe",
+            "EditBasicPipe",
+            "EditDetailerPipe",
+            "EditDetailerPipeSDXL",
+            "EmptySegs",
+            "FaceDetailer",
+            "FaceDetailerPipe",
+            "FromBasicPipe",
+            "FromBasicPipe_v2",
+            "FromDetailerPipe",
+            "FromDetailerPipeSDXL",
+            "FromDetailerPipe_v2",
+            "GITSSchedulerFuncProvider",
+            "ImageListToImageBatch",
+            "ImageMaskSwitch",
+            "ImageReceiver",
+            "ImageSender",
+            "ImpactAssembleSEGS",
+            "ImpactCombineConditionings",
+            "ImpactCompare",
+            "ImpactConcatConditionings",
+            "ImpactConditionalBranch",
+            "ImpactConditionalBranchSelMode",
+            "ImpactConditionalStopIteration",
+            "ImpactControlBridge",
+            "ImpactControlNetApplyAdvancedSEGS",
+            "ImpactControlNetApplySEGS",
+            "ImpactControlNetClearSEGS",
+            "ImpactConvertDataType",
+            "ImpactCount_Elts_in_SEGS",
+            "ImpactDecomposeSEGS",
+            "ImpactDilateMask",
+            "ImpactDilateMaskInSEGS",
+            "ImpactDilate_Mask_SEG_ELT",
+            "ImpactDummyInput",
+            "ImpactEdit_SEG_ELT",
+            "ImpactExecutionOrderController",
+            "ImpactFlattenMask",
+            "ImpactFloat",
+            "ImpactFrom_SEG_ELT",
+            "ImpactFrom_SEG_ELT_bbox",
+            "ImpactFrom_SEG_ELT_crop_region",
+            "ImpactGaussianBlurMask",
+            "ImpactGaussianBlurMaskInSEGS",
+            "ImpactHFTransformersClassifierProvider",
+            "ImpactIPAdapterApplySEGS",
+            "ImpactIfNone",
+            "ImpactImageBatchToImageList",
+            "ImpactImageInfo",
+            "ImpactInt",
+            "ImpactInversedSwitch",
+            "ImpactIsNotEmptySEGS",
+            "ImpactKSamplerAdvancedBasicPipe",
+            "ImpactKSamplerBasicPipe",
+            "ImpactLatentInfo",
+            "ImpactLogger",
+            "ImpactLogicalOperators",
+            "ImpactMakeImageBatch",
+            "ImpactMakeImageList",
+            "ImpactMakeMaskBatch",
+            "ImpactMakeMaskList",
+            "ImpactMakeTileSEGS",
+            "ImpactMinMax",
+            "ImpactNeg",
+            "ImpactNegativeConditioningPlaceholder",
+            "ImpactNodeSetMuteState",
+            "ImpactQueueTrigger",
+            "ImpactQueueTriggerCountdown",
+            "ImpactRemoteBoolean",
+            "ImpactRemoteInt",
+            "ImpactSEGSClassify",
+            "ImpactSEGSConcat",
+            "ImpactSEGSLabelAssign",
+            "ImpactSEGSLabelFilter",
+            "ImpactSEGSOrderedFilter",
+            "ImpactSEGSPicker",
+            "ImpactSEGSRangeFilter",
+            "ImpactSEGSToMaskBatch",
+            "ImpactSEGSToMaskList",
+            "ImpactScaleBy_BBOX_SEG_ELT",
+            "ImpactSchedulerAdapter",
+            "ImpactSegsAndMask",
+            "ImpactSegsAndMaskForEach",
+            "ImpactSetWidgetValue",
+            "ImpactSimpleDetectorSEGS",
+            "ImpactSimpleDetectorSEGSPipe",
+            "ImpactSimpleDetectorSEGS_for_AD",
+            "ImpactSleep",
+            "ImpactStringSelector",
+            "ImpactSwitch",
+            "ImpactValueReceiver",
+            "ImpactValueSender",
+            "ImpactWildcardEncode",
+            "ImpactWildcardProcessor",
+            "IterativeImageUpscale",
+            "IterativeLatentUpscale",
+            "KSamplerAdvancedProvider",
+            "KSamplerProvider",
+            "LatentPixelScale",
+            "LatentReceiver",
+            "LatentSender",
+            "LatentSwitch",
+            "MMDetDetectorProvider",
+            "MMDetLoader",
+            "MaskDetailerPipe",
+            "MaskListToMaskBatch",
+            "MaskPainter",
+            "MaskToSEGS",
+            "MaskToSEGS_for_AnimateDiff",
+            "MasksToMaskList",
+            "MediaPipeFaceMeshToSEGS",
+            "NoiseInjectionDetailerHookProvider",
+            "NoiseInjectionHookProvider",
+            "ONNXDetectorProvider",
+            "ONNXDetectorSEGS",
+            "PixelKSampleHookCombine",
+            "PixelKSampleUpscalerProvider",
+            "PixelKSampleUpscalerProviderPipe",
+            "PixelTiledKSampleUpscalerProvider",
+            "PixelTiledKSampleUpscalerProviderPipe",
+            "PreviewBridge",
+            "PreviewBridgeLatent",
+            "PreviewDetailerHookProvider",
+            "ReencodeLatent",
+            "ReencodeLatentPipe",
+            "RegionalPrompt",
+            "RegionalSampler",
+            "RegionalSamplerAdvanced",
+            "RemoveImageFromSEGS",
+            "RemoveNoiseMask",
+            "SAMDetectorCombined",
+            "SAMDetectorSegmented",
+            "SAMLoader",
+            "SEGSDetailer",
+            "SEGSDetailerForAnimateDiff",
+            "SEGSLabelFilterDetailerHookProvider",
+            "SEGSOrderedFilterDetailerHookProvider",
+            "SEGSPaste",
+            "SEGSPreview",
+            "SEGSPreviewCNet",
+            "SEGSRangeFilterDetailerHookProvider",
+            "SEGSSwitch",
+            "SEGSToImageList",
+            "SEGSUpscaler",
+            "SEGSUpscalerPipe",
+            "SegmDetectorCombined",
+            "SegmDetectorCombined_v2",
+            "SegmDetectorForEach",
+            "SegmDetectorSEGS",
+            "Segs  Mask",
+            "Segs  Mask ForEach",
+            "SegsMaskCombine",
+            "SegsToCombinedMask",
+            "SetDefaultImageForSEGS",
+            "StepsScheduleHookProvider",
+            "StringListToString",
+            "SubtractMask",
+            "SubtractMaskForEach",
+            "TiledKSamplerProvider",
+            "ToBasicPipe",
+            "ToBinaryMask",
+            "ToDetailerPipe",
+            "ToDetailerPipeSDXL",
+            "TwoAdvancedSamplersForMask",
+            "TwoSamplersForMask",
+            "TwoSamplersForMaskUpscalerProvider",
+            "TwoSamplersForMaskUpscalerProviderPipe",
+            "UltralyticsDetectorProvider",
+            "UnsamplerDetailerHookProvider",
+            "UnsamplerHookProvider",
+            "VariationNoiseDetailerHookProvider",
+            "WildcardPromptFromString"
+        ],
+        {
+            "author": "Dr.Lt.Data",
+            "description": "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler.",
+            "nickname": "Impact Pack",
+            "preemptions": [
+                "SAMLoader"
+            ],
+            "title": "Impact Pack",
+            "title_aux": "ComfyUI Impact Pack"
+        }
+    ],
+    "https://github.com/ltdrdata/ComfyUI-Inspire-Pack": [
+        [
+            "AnimeLineArt_Preprocessor_Provider_for_SEGS //Inspire",
+            "ApplyLBW //Inspire",
+            "ApplyRegionalIPAdapters //Inspire",
+            "BindImageListPromptList //Inspire",
+            "CLIPTextEncodeWithWeight //Inspire",
+            "CacheBackendData //Inspire",
+            "CacheBackendDataList //Inspire",
+            "CacheBackendDataNumberKey //Inspire",
+            "CacheBackendDataNumberKeyList //Inspire",
+            "Canny_Preprocessor_Provider_for_SEGS //Inspire",
+            "ChangeImageBatchSize //Inspire",
+            "ChangeLatentBatchSize //Inspire",
+            "CheckpointLoaderSimpleShared //Inspire",
+            "ColorMapToMasks //Inspire",
+            "ColorMaskToDepthMask //Inspire",
+            "Color_Preprocessor_Provider_for_SEGS //Inspire",
+            "CompositeNoise //Inspire",
+            "ConcatConditioningsWithMultiplier //Inspire",
+            "ConditioningStretch //Inspire",
+            "ConditioningUpscale //Inspire",
+            "DWPreprocessor_Provider_for_SEGS //Inspire",
+            "FakeScribblePreprocessor_Provider_for_SEGS //Inspire",
+            "FloatRange //Inspire",
+            "FromIPAdapterPipe //Inspire",
+            "GlobalSampler //Inspire",
+            "GlobalSeed //Inspire",
+            "HEDPreprocessor_Provider_for_SEGS //Inspire",
+            "HyperTile //Inspire",
+            "IPAdapterModelHelper //Inspire",
+            "ImageBatchSplitter //Inspire",
+            "InpaintPreprocessor_Provider_for_SEGS //Inspire",
+            "KSampler //Inspire",
+            "KSamplerAdvanced //Inspire",
+            "KSamplerAdvancedPipe //Inspire",
+            "KSamplerAdvancedProgress //Inspire",
+            "KSamplerPipe //Inspire",
+            "KSamplerProgress //Inspire",
+            "LatentBatchSplitter //Inspire",
+            "LeRes_DepthMap_Preprocessor_Provider_for_SEGS //Inspire",
+            "LineArt_Preprocessor_Provider_for_SEGS //Inspire",
+            "ListCounter //Inspire",
+            "LoadImage //Inspire",
+            "LoadImageListFromDir //Inspire",
+            "LoadImagesFromDir //Inspire",
+            "LoadLBW //Inspire",
+            "LoadPromptsFromDir //Inspire",
+            "LoadPromptsFromFile //Inspire",
+            "LoadSinglePromptFromFile //Inspire",
+            "LoraBlockInfo //Inspire",
+            "LoraLoaderBlockWeight //Inspire",
+            "MakeBasicPipe //Inspire",
+            "MakeLBW //Inspire",
+            "Manga2Anime_LineArt_Preprocessor_Provider_for_SEGS //Inspire",
+            "MediaPipeFaceMeshDetectorProvider //Inspire",
+            "MediaPipe_FaceMesh_Preprocessor_Provider_for_SEGS //Inspire",
+            "MeshGraphormerDepthMapPreprocessorProvider_for_SEGS //Inspire",
+            "MiDaS_DepthMap_Preprocessor_Provider_for_SEGS //Inspire",
+            "OpenPose_Preprocessor_Provider_for_SEGS //Inspire",
+            "PromptBuilder //Inspire",
+            "PromptExtractor //Inspire",
+            "RGB_HexToHSV //Inspire",
+            "RandomGeneratorForList //Inspire",
+            "RandomNoise //Inspire",
+            "RegionalCFG //Inspire",
+            "RegionalConditioningColorMask //Inspire",
+            "RegionalConditioningSimple //Inspire",
+            "RegionalIPAdapterColorMask //Inspire",
+            "RegionalIPAdapterEncodedColorMask //Inspire",
+            "RegionalIPAdapterEncodedMask //Inspire",
+            "RegionalIPAdapterMask //Inspire",
+            "RegionalPromptColorMask //Inspire",
+            "RegionalPromptSimple //Inspire",
+            "RegionalSeedExplorerColorMask //Inspire",
+            "RegionalSeedExplorerMask //Inspire",
+            "RemoveBackendData //Inspire",
+            "RemoveBackendDataNumberKey //Inspire",
+            "RemoveControlNet //Inspire",
+            "RemoveControlNetFromRegionalPrompts //Inspire",
+            "RetrieveBackendData //Inspire",
+            "RetrieveBackendDataNumberKey //Inspire",
+            "SaveLBW //Inspire",
+            "ScheduledCFGGuider //Inspire",
+            "ScheduledPerpNegCFGGuider //Inspire",
+            "SeedExplorer //Inspire",
+            "SelectNthMask //Inspire",
+            "ShowCachedInfo //Inspire",
+            "StableCascade_CheckpointLoader //Inspire",
+            "TilePreprocessor_Provider_for_SEGS //Inspire",
+            "ToIPAdapterPipe //Inspire",
+            "UnzipPrompt //Inspire",
+            "WildcardEncode //Inspire",
+            "XY Input: Lora Block Weight //Inspire",
+            "ZipPrompt //Inspire",
+            "Zoe_DepthMap_Preprocessor_Provider_for_SEGS //Inspire"
+        ],
+        {
+            "author": "Dr.Lt.Data",
+            "description": "This extension provides various nodes to support Lora Block Weight and the Impact Pack.",
+            "nickname": "Inspire Pack",
+            "nodename_pattern": "Inspire$",
+            "title": "Inspire Pack",
+            "title_aux": "ComfyUI Inspire Pack"
+        }
+    ],
+    "https://github.com/luandev/ComfyUI-CrewAI": [
+        [
+            "\ud83d\udcceCrewAI Agent",
+            "\ud83d\udcceCrewAI Agent List",
+            "\ud83d\udcceCrewAI Crew",
+            "\ud83d\udcceCrewAI LLM Chat GPT",
+            "\ud83d\udcceCrewAI LLM Hugging Face",
+            "\ud83d\udcceCrewAI LLM OpenAI",
+            "\ud83d\udcceCrewAI Task",
+            "\ud83d\udcceCrewAI Task List"
+        ],
+        {
+            "title_aux": "ComfyUI CrewAI"
+        }
+    ],
+    "https://github.com/lucafoscili/comfyui-lf": [
+        [
+            "LF_BlurImages",
+            "LF_Boolean",
+            "LF_CharacterImpersonator",
+            "LF_CivitAIMetadataSetup",
+            "LF_ControlPanel",
+            "LF_DisplayJSON",
+            "LF_Float",
+            "LF_GetRandomKeyFromJSON",
+            "LF_GetValueFromJSON",
+            "LF_ImageClassifier",
+            "LF_ImageHistogram",
+            "LF_Integer",
+            "LF_KeywordCounter",
+            "LF_KeywordToggleFromJSON",
+            "LF_LLMChat",
+            "LF_LoadImages",
+            "LF_LoadLocalJSON",
+            "LF_LoadMetadata",
+            "LF_Lora2Prompt",
+            "LF_LoraTag2Prompt",
+            "LF_MultipleImageResizeForWeb",
+            "LF_RandomBoolean",
+            "LF_ResizeImageByEdge",
+            "LF_ResizeImageToSquare",
+            "LF_SaveImageForCivitAI",
+            "LF_SequentialSeedsGenerator",
+            "LF_SetValueInJSON",
+            "LF_Something2Number",
+            "LF_Something2String",
+            "LF_String",
+            "LF_StringToJSON",
+            "LF_SwitchImage",
+            "LF_SwitchInteger",
+            "LF_SwitchJSON",
+            "LF_SwitchString",
+            "LF_UrandomSeedGenerator",
+            "LF_WallOfText",
+            "LF_WorkflowSettings",
+            "LF_WriteJSON"
+        ],
+        {
+            "title_aux": "LF Nodes"
+        }
+    ],
+    "https://github.com/m-sokes/ComfyUI-Sokes-Nodes": [
+        [
+            "Custom Date Format | sokes \ud83e\uddac",
+            "Latent Switch x9 | sokes \ud83e\uddac"
+        ],
+        {
+            "title_aux": "ComfyUI Sokes Nodes"
+        }
+    ],
+    "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes/raw/main/clip-text-encode-split/clip_text_encode_split.py": [
+        [
+            "RawText",
+            "RawTextCombine",
+            "RawTextEncode",
+            "RawTextReplace"
+        ],
+        {
+            "title_aux": "m957ymj75urz/ComfyUI-Custom-Nodes"
+        }
+    ],
+    "https://github.com/maepopi/Diffusers-in-ComfyUI": [
+        [
+            "BLoRALoader",
+            "GenerateImg2Image",
+            "GenerateInpaintImage",
+            "GenerateTxt2Image",
+            "Img2ImgStableDiffusionPipeline",
+            "InpaintingStableDiffusionPipeline",
+            "LoRALoader",
+            "MakeCanny",
+            "Text2ImgStableDiffusionPipeline"
+        ],
+        {
+            "title_aux": "Diffusers-in-ComfyUI"
+        }
+    ],
+    "https://github.com/mape/ComfyUI-mape-Helpers": [
+        [
+            "mape Variable"
+        ],
+        {
+            "author": "mape",
+            "description": "Various QoL improvements like prompt tweaking, variable assignment, image preview, fuzzy search, error reporting, organizing and node navigation.",
+            "nickname": "\ud83d\udfe1 mape's helpers",
+            "title": "mape's helpers",
+            "title_aux": "mape's helpers"
+        }
+    ],
+    "https://github.com/maracman/ComfyUI-SubjectStyle-CSV": [
+        [
+            "CSVPromptProcessor"
+        ],
+        {
+            "title_aux": "ComfyUI-SubjectStyle-CSV"
+        }
+    ],
+    "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer": [
+        [
+            "FluxPromptEnhance"
+        ],
+        {
+            "title_aux": "Flux Prompt Enhance Node for ComfyUI"
+        }
+    ],
+    "https://github.com/marduk191/comfyui-marnodes": [
+        [
+            "ImageToDevice",
+            "marduk191_5_text_string",
+            "marduk191_5way_text_switch",
+            "marduk191_s_random_latent",
+            "marduk191_workflow_settings"
+        ],
+        {
+            "author": "\u02f6marduk191",
+            "description": "marduk191s nodes.",
+            "nickname": "marduk191 workflow settings",
+            "title": "marduk191 workflow settings",
+            "title_aux": "marduk191 workflow settings"
+        }
+    ],
+    "https://github.com/marhensa/sdxl-recommended-res-calc": [
+        [
+            "RecommendedResCalc"
+        ],
+        {
+            "title_aux": "Recommended Resolution Calculator"
+        }
+    ],
+    "https://github.com/markuryy/ComfyUI-Flux-Prompt-Saver": [
+        [
+            "FluxPromptSaver"
+        ],
+        {
+            "title_aux": "ComfyUI Flux Prompt Saver"
+        }
+    ],
+    "https://github.com/martijnat/comfyui-previewlatent": [
+        [
+            "PreviewLatent",
+            "PreviewLatentAdvanced",
+            "PreviewLatentXL"
+        ],
+        {
+            "title_aux": "comfyui-previewlatent"
+        }
+    ],
+    "https://github.com/massao000/ComfyUI_aspect_ratios": [
+        [
+            "Aspect Ratios Node"
+        ],
+        {
+            "title_aux": "ComfyUI_aspect_ratios"
+        }
+    ],
+    "https://github.com/matan1905/ComfyUI-Serving-Toolkit": [
+        [
+            "DiscordServing",
+            "ServingInputImage",
+            "ServingInputImageAsLatent",
+            "ServingInputNumber",
+            "ServingInputText",
+            "ServingMultiImageOutput",
+            "ServingOutput",
+            "ServingTextOutput",
+            "TelegramServing",
+            "WebSocketServing"
+        ],
+        {
+            "title_aux": "ComfyUI Serving toolkit"
+        }
+    ],
+    "https://github.com/mattjohnpowell/comfyui-lmstudio-image-to-text-node": [
+        [
+            "LM Studio Image To Text",
+            "LM Studio Text Generation"
+        ],
+        {
+            "author": "Matt John Powell",
+            "description": "This extension provides two custom nodes for ComfyUI that integrate LM Studio's capabilities:",
+            "nickname": "LM Studio Nodes",
+            "title": "LM Studio Nodes for ComfyUI",
+            "title_aux": "LM Studio Image to Text Node for ComfyUI"
+        }
+    ],
+    "https://github.com/mav-rik/facerestore_cf": [
+        [
+            "CropFace",
+            "FaceRestoreCFWithModel",
+            "FaceRestoreModelLoader"
+        ],
+        {
+            "title_aux": "Facerestore CF (Code Former)"
+        }
+    ],
+    "https://github.com/mbrostami/ComfyUI-HF": [
+        [
+            "GPT2Node"
+        ],
+        {
+            "title_aux": "ComfyUI-HF"
+        }
+    ],
+    "https://github.com/mbrostami/ComfyUI-TITrain": [
+        [
+            "TextualInversionTraining",
+            "TextualInversionTrainingSDXL"
+        ],
+        {
+            "title_aux": "ComfyUI-TITrain"
+        }
+    ],
+    "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding": [
+        [
+            "DynamicThresholdingFull",
+            "DynamicThresholdingSimple"
+        ],
+        {
+            "title_aux": "Dynamic Thresholding"
+        }
+    ],
+    "https://github.com/meap158/ComfyUI-Background-Replacement": [
+        [
+            "BackgroundReplacement",
+            "ImageComposite"
+        ],
+        {
+            "title_aux": "ComfyUI-Background-Replacement"
+        }
+    ],
+    "https://github.com/meap158/ComfyUI-GPU-temperature-protection": [
+        [
+            "GPUTemperatureProtection"
+        ],
+        {
+            "title_aux": "GPU temperature protection"
+        }
+    ],
+    "https://github.com/meap158/ComfyUI-Prompt-Expansion": [
+        [
+            "PromptExpansion"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompt-Expansion"
+        }
+    ],
+    "https://github.com/mech-tools/comfyui-checkpoint-automatic-config": [
+        [
+            "CheckpointAutomaticConfig",
+            "ConfigPipe"
+        ],
+        {
+            "title_aux": "ComfyUI Checkpoint Automatic Config"
+        }
+    ],
+    "https://github.com/melMass/comfy_mtb": [
+        [
+            "Animation Builder (mtb)",
+            "Any To String (mtb)",
+            "Batch Float (mtb)",
+            "Batch Float Assemble (mtb)",
+            "Batch Float Fill (mtb)",
+            "Batch Make (mtb)",
+            "Batch Merge (mtb)",
+            "Batch Shake (mtb)",
+            "Batch Shape (mtb)",
+            "Batch Transform (mtb)",
+            "Bbox (mtb)",
+            "Bbox From Mask (mtb)",
+            "Blur (mtb)",
+            "Color Correct (mtb)",
+            "Colored Image (mtb)",
+            "Concat Images (mtb)",
+            "Crop (mtb)",
+            "Debug (mtb)",
+            "Deep Bump (mtb)",
+            "Export With Ffmpeg (mtb)",
+            "Face Swap (mtb)",
+            "Film Interpolation (mtb)",
+            "Fit Number (mtb)",
+            "Float To Number (mtb)",
+            "Get Batch From History (mtb)",
+            "Image Compare (mtb)",
+            "Image Premultiply (mtb)",
+            "Image Remove Background Rembg (mtb)",
+            "Image Resize Factor (mtb)",
+            "Image Tile Offset (mtb)",
+            "Int To Bool (mtb)",
+            "Int To Number (mtb)",
+            "Interpolate Clip Sequential (mtb)",
+            "Latent Lerp (mtb)",
+            "Load Face Analysis Model (mtb)",
+            "Load Face Enhance Model (mtb)",
+            "Load Face Swap Model (mtb)",
+            "Load Film Model (mtb)",
+            "Load Image From Url (mtb)",
+            "Load Image Sequence (mtb)",
+            "Mask To Image (mtb)",
+            "Math Expression (mtb)",
+            "Model Patch Seamless (mtb)",
+            "Pick From Batch (mtb)",
+            "Qr Code (mtb)",
+            "Restore Face (mtb)",
+            "Save Gif (mtb)",
+            "Save Image Grid (mtb)",
+            "Save Image Sequence (mtb)",
+            "Save Tensors (mtb)",
+            "Sharpen (mtb)",
+            "Smart Step (mtb)",
+            "Stack Images (mtb)",
+            "String Replace (mtb)",
+            "Styles Loader (mtb)",
+            "Text To Image (mtb)",
+            "Transform Image (mtb)",
+            "Uncrop (mtb)",
+            "Unsplash Image (mtb)",
+            "Vae Decode (mtb)"
+        ],
+        {
+            "nodename_pattern": "\\(mtb\\)$",
+            "title_aux": "MTB Nodes"
+        }
+    ],
+    "https://github.com/mephisto83/petty-paint-comfyui-node": [
+        [
+            "PettyImageImageColorToMask",
+            "PettyPaintAppend",
+            "PettyPaintApplyLoRAStack",
+            "PettyPaintBlurs",
+            "PettyPaintComponent",
+            "PettyPaintConditioningSetMaskAndCombine",
+            "PettyPaintConvert",
+            "PettyPaintCountFiles",
+            "PettyPaintEnsureDirectory",
+            "PettyPaintExec",
+            "PettyPaintFakeConvert",
+            "PettyPaintFileExists",
+            "PettyPaintImageColorsToMasks",
+            "PettyPaintImageCompositeMasked",
+            "PettyPaintImageDims",
+            "PettyPaintImageMaskCropper",
+            "PettyPaintImagePlacement",
+            "PettyPaintImageSave",
+            "PettyPaintImageStore",
+            "PettyPaintImageToMask",
+            "PettyPaintImagesToMasks",
+            "PettyPaintJsonMap",
+            "PettyPaintJsonRead",
+            "PettyPaintJsonReadArray",
+            "PettyPaintKSampler",
+            "PettyPaintKSamplerAdvanced",
+            "PettyPaintLoRAStack",
+            "PettyPaintLoadImage",
+            "PettyPaintLoadImageMasks",
+            "PettyPaintLoadImages",
+            "PettyPaintMap",
+            "PettyPaintMasksToImages",
+            "PettyPaintNot",
+            "PettyPaintPassThroughNode",
+            "PettyPaintProcessor",
+            "PettyPaintRemoveAddText",
+            "PettyPaintSDTurboScheduler",
+            "PettyPaintStoryImage",
+            "PettyPaintText",
+            "PettyPaintTexts_to_Conditioning",
+            "PettyPaintToJson",
+            "PettyPaintVAEDecode"
+        ],
+        {
+            "title_aux": "petty-paint-comfyui-node"
+        }
+    ],
+    "https://github.com/meshmesh-io/ComfyUI-MeshMesh": [
+        [
+            "ColorPicker",
+            "MasksToColoredMasks"
+        ],
+        {
+            "title_aux": "ComfyUI-MeshMesh"
+        }
+    ],
+    "https://github.com/meshmesh-io/mm-comfyui-loopback": [
+        [
+            "Loop",
+            "LoopEnd",
+            "LoopEnd_SEGIMAGE",
+            "LoopStart",
+            "LoopStart_SEGIMAGE"
+        ],
+        {
+            "title_aux": "mm-comfyui-loopback"
+        }
+    ],
+    "https://github.com/meshmesh-io/mm-comfyui-megamask": [
+        [
+            "ColorListMaskToImage",
+            "FlattenAndCombineMaskImages"
+        ],
+        {
+            "title_aux": "mm-comfyui-megamask"
+        }
+    ],
+    "https://github.com/metal3d/ComfyUI_Human_Parts": [
+        [
+            "HumanParts"
+        ],
+        {
+            "title_aux": "Human Parts Detector"
+        }
+    ],
+    "https://github.com/metncelik/comfyui_met_suite": [
+        [
+            "BBOXPadding",
+            "BBOXResize",
+            "ImageResizeKeepRatio",
+            "PrimitiveBBOX",
+            "RaiseError"
+        ],
+        {
+            "title_aux": "comfyui_met_suite"
+        }
+    ],
+    "https://github.com/mgfxer/ComfyUI-FrameFX": [
+        [
+            "DynamicAnimatedWeightsHelper",
+            "EdgeFXSourceImages",
+            "FlorencePromptTravelHelper",
+            "LivePromptInterpolation",
+            "MaskSequenceHelper",
+            "PromptStackManager",
+            "PromptTravelHelper"
+        ],
+        {
+            "author": "mgfxer",
+            "description": "This extension provides various frame and mask sequence manipulation tools for animation workflows.",
+            "nickname": "FrameFX \ud83d\udcab",
+            "title": "FrameFX",
+            "title_aux": "ComfyUI-FrameFX"
+        }
+    ],
+    "https://github.com/miaoshouai/ComfyUI-Miaoshouai-Tagger": [
+        [
+            "Miaoshouai_Flux_CLIPTextEncode",
+            "Miaoshouai_SaveTags",
+            "Miaoshouai_Tagger"
+        ],
+        {
+            "title_aux": "ComfyUI-Miaoshouai-Tagger"
+        }
+    ],
+    "https://github.com/microbote/ComfyUI-StyledCLIPTextEncode": [
+        [
+            "StyledCLIPTextEncode"
+        ],
+        {
+            "title_aux": "StyledCLIPTextEncode"
+        }
+    ],
+    "https://github.com/mihaiiancu/ComfyUI_Inpaint": [
+        [
+            "InpaintMediapipe"
+        ],
+        {
+            "title_aux": "mihaiiancu/Inpaint"
+        }
+    ],
+    "https://github.com/mikebilly/Transparent-background-comfyUI": [
+        [
+            "Transparentbackground RemBg"
+        ],
+        {
+            "title_aux": "Transparent-background-comfyUI"
+        }
+    ],
+    "https://github.com/mikkel/ComfyUI-text-overlay": [
+        [
+            "Image Text Overlay"
+        ],
+        {
+            "title_aux": "ComfyUI - Text Overlay Plugin"
+        }
+    ],
+    "https://github.com/mikkel/comfyui-mask-boundingbox": [
+        [
+            "Mask Bounding Box"
+        ],
+        {
+            "title_aux": "ComfyUI - Mask Bounding Box"
+        }
+    ],
+    "https://github.com/mirabarukaso/ComfyUI_Mira": [
+        [
+            "BooleanListInterpreter1",
+            "BooleanListInterpreter4",
+            "BooleanListInterpreter8",
+            "CanvasCreatorAdvanced",
+            "CanvasCreatorBasic",
+            "CanvasCreatorSimple",
+            "CircleCreator",
+            "CirclesGenerator",
+            "CreateMaskWithCanvas",
+            "CreateNestedPNGMask",
+            "CreateSimpleMask",
+            "CreateTillingPNGMask",
+            "CreateWatermarkRemovalMask",
+            "EightBooleanTrigger",
+            "EightFloats",
+            "EvenOrOdd",
+            "EvenOrOddList",
+            "FloatListInterpreter1",
+            "FloatListInterpreter4",
+            "FloatListInterpreter8",
+            "FloatMultiplication",
+            "FourBooleanTrigger",
+            "FourFloats",
+            "FunctionSwap",
+            "IntMultiplication",
+            "IntSubtraction",
+            "IntToFloatMultiplication",
+            "LoRALoaderWithNameStacker",
+            "LogicNot",
+            "NoneToZero",
+            "NumeralToString",
+            "OneFloat",
+            "PngColorMasksToMaskList",
+            "PngColorMasksToRGB",
+            "PngColorMasksToString",
+            "PngColorMasksToStringList",
+            "PngRectanglesToMask",
+            "PngRectanglesToMaskList",
+            "RandomNestedLayouts",
+            "RandomTillingLayouts",
+            "SN74HC1G86",
+            "SN74HC86",
+            "SN74LVC1G125",
+            "SeedGenerator",
+            "SingleBooleanTrigger",
+            "SixBooleanTrigger",
+            "StepsAndCfg",
+            "TextBox",
+            "TextCombinerSix",
+            "TextCombinerTwo",
+            "TextSwitcherThreeWays",
+            "TextSwitcherTwoWays",
+            "TextWithBooleanSwitchAndCommonTextInput",
+            "TwoBooleanTrigger",
+            "TwoFloats"
+        ],
+        {
+            "title_aux": "ComfyUI_Mira"
+        }
+    ],
+    "https://github.com/misterjoessef/MLTask_ComfyUI": [
+        [
+            "FacebookPosterData",
+            "InstagramPosterData",
+            "LinkedinPosterData",
+            "MLTaskUtilsTextImageGenerator",
+            "PinterestPosterData",
+            "SocialManMediaToPoster",
+            "SocialManPostData",
+            "SocialManPoster",
+            "TiktokPosterData",
+            "TwitterPosterData",
+            "YoutubePosterData"
+        ],
+        {
+            "title_aux": "MLTask_ComfyUI"
+        }
+    ],
+    "https://github.com/mittimi/ComfyUI_mittimiLoadPreset": [
+        [
+            "LoadAndSettingParametersMittimi01",
+            "LoadAndSettingParametersMittimi02",
+            "LoadPresetForSettingParametersMittimi01",
+            "SettingParametersMittimi01"
+        ],
+        {
+            "author": "mittimi",
+            "description": "The system selects and loads presets that have been saved in advance.",
+            "nickname": "mittimiLoadPreset",
+            "title": "mittimiLoadPreset",
+            "title_aux": "ComfyUI_mittimiLoadPreset"
+        }
+    ],
+    "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize": [
+        [
+            "RecalculateSizeMittimi01"
+        ],
+        {
+            "author": "mittimi",
+            "description": "Switch between vertical and horizontal values with a single button.",
+            "nickname": "mittimiWidthHeight",
+            "title": "mittimiWidthHeight",
+            "title_aux": "ComfyUI_mittimiRecalculateSize"
+        }
+    ],
+    "https://github.com/mittimi/ComfyUI_mittimiWidthHeight": [
+        [
+            "WidthHeightMittimi01"
+        ],
+        {
+            "author": "mittimi",
+            "description": "Switch between vertical and horizontal values with a single button.",
+            "nickname": "mittimiWidthHeight",
+            "title": "mittimiWidthHeight",
+            "title_aux": "ComfyUI_mittimiWidthHeight"
+        }
+    ],
+    "https://github.com/modelscope/comfyscope": [
+        [
+            "DashScopeFLUXAPI"
+        ],
+        {
+            "title_aux": "Dashscope FLUX API for ComfyUI"
+        }
+    ],
+    "https://github.com/modusCell/ComfyUI-dimension-node-modusCell": [
+        [
+            "DimensionProviderFree modusCell",
+            "DimensionProviderRatio modusCell",
+            "String Concat modusCell"
+        ],
+        {
+            "title_aux": "Preset Dimensions"
+        }
+    ],
+    "https://github.com/moyi7712/ComfyUI_Seamless_Patten": [
+        [
+            "SeamlessApply",
+            "SeamlessKSampler",
+            "SeamlessKSamplerAdvanced",
+            "SeamlessVae"
+        ],
+        {
+            "title_aux": "ComfyUI_Seamless_Patten"
+        }
+    ],
+    "https://github.com/mpiquero7164/ComfyUI-SaveImgPrompt": [
+        [
+            "Save IMG Prompt"
+        ],
+        {
+            "title_aux": "SaveImgPrompt"
+        }
+    ],
+    "https://github.com/mullakhmetov/comfyui_dynamic_util_nodes": [
+        [
+            "ConcatStrings",
+            "FormatString",
+            "GetFiles",
+            "LoadImageByPath",
+            "StringOutput"
+        ],
+        {
+            "title_aux": "comfyui_dynamic_util_nodes"
+        }
+    ],
+    "https://github.com/muzi12888/ComfyUI-PoseKeypoint-Mask": [
+        [
+            "Image Brightness",
+            "Openpose Keypoint Mask"
+        ],
+        {
+            "title_aux": "PoseKeypoint Mask"
+        }
+    ],
+    "https://github.com/my-opencode/ComfyUI_IndustrialMagick": [
+        [
+            "IndustrialMagick",
+            "IndustrialMagickImageIngest"
+        ],
+        {
+            "title_aux": "ComfyUI_IndustrialMagick"
+        }
+    ],
+    "https://github.com/my-opencode/ComfyUI_KSamplerTimer": [
+        [
+            "KSamplerTimer"
+        ],
+        {
+            "author": "Ludovic Anterieur",
+            "description": "This extension provides a wrapper of the native KSampler which outputs generation time.",
+            "nickname": "\u23f1",
+            "title": "KSampler (timer)",
+            "title_aux": "ComfyUI_KSamplerTimer"
+        }
+    ],
+    "https://github.com/nagolinc/ComfyUI_FastVAEDecorder_SDXL": [
+        [
+            "FastLatentToImage"
+        ],
+        {
+            "title_aux": "ComfyUI_FastVAEDecorder_SDXL"
+        }
+    ],
+    "https://github.com/nagolinc/comfyui_openai_node": [
+        [
+            "OpenAINode"
+        ],
+        {
+            "title_aux": "comfyui_openai_node"
+        }
+    ],
+    "https://github.com/natto-maki/ComfyUI-NegiTools": [
+        [
+            "NegiTools_CompositeImages",
+            "NegiTools_DepthEstimationByMarigold",
+            "NegiTools_DetectFaceRotationForInpainting",
+            "NegiTools_ImageProperties",
+            "NegiTools_LatentProperties",
+            "NegiTools_NoiseImageGenerator",
+            "NegiTools_OpenAiDalle3",
+            "NegiTools_OpenAiGpt",
+            "NegiTools_OpenAiGpt4v",
+            "NegiTools_OpenAiTranslate",
+            "NegiTools_OpenPoseToPointList",
+            "NegiTools_PointListToMask",
+            "NegiTools_RandomImageLoader",
+            "NegiTools_SaveImageToDirectory",
+            "NegiTools_SeedGenerator",
+            "NegiTools_StereoImageGenerator",
+            "NegiTools_StringFunction"
+        ],
+        {
+            "title_aux": "ComfyUI-NegiTools"
+        }
+    ],
+    "https://github.com/nchenevey1/comfyui-gimp-nodes": [
+        [
+            "NC_LoadImageGIMP",
+            "NC_LoadMaskGIMP",
+            "NC_SendImageWebSocketGIMP"
+        ],
+        {
+            "title_aux": "comfyui-gimp-nodes"
+        }
+    ],
+    "https://github.com/neverbiasu/ComfyUI-Image-Captioner": [
+        [
+            "ImageCaptioner"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Captioner"
+        }
+    ],
+    "https://github.com/neverbiasu/ComfyUI-SAM2": [
+        [
+            "GroundingDinoModelLoader (segment anything)",
+            "GroundingDinoSAMSegment (segment anything)",
+            "InvertMask (segment anything)",
+            "IsMaskEmpty",
+            "SAM2ModelLoader (segment anything)"
+        ],
+        {
+            "title_aux": "ComfyUI SAM2(Segment Anything 2)"
+        }
+    ],
+    "https://github.com/neverbiasu/ComfyUI-StyleShot": [
+        [
+            "StyleShotApply"
+        ],
+        {
+            "title_aux": "ComfyUI-StyleShot"
+        }
+    ],
+    "https://github.com/nicehero/comfyui-SegGPT": [
+        [
+            "SegGPT"
+        ],
+        {
+            "title_aux": "comfyui-SegGPT"
+        }
+    ],
+    "https://github.com/nickve28/ComfyUI-Nich-Utils": [
+        [
+            "Image from Dir Selector (Nich)",
+            "Select Text with Regular Expression (Nich)"
+        ],
+        {
+            "title_aux": "ComfyUI Nich Utils"
+        }
+    ],
+    "https://github.com/nicolai256/comfyUI_Nodes_nicolai256/raw/main/yugioh-presets.py": [
+        [
+            "yugioh_Presets"
+        ],
+        {
+            "title_aux": "comfyUI_Nodes_nicolai256"
+        }
+    ],
+    "https://github.com/ningxiaoxiao/comfyui-NDI": [
+        [
+            "NDI_LoadImage",
+            "NDI_SendImage"
+        ],
+        {
+            "title_aux": "comfyui-NDI"
+        }
+    ],
+    "https://github.com/nirbhay-faaya/ImgProcessing_ComfyUI": [
+        [
+            "ImageConcat",
+            "ImageCropMultEight",
+            "ImageCut",
+            "LightingPreprocessor"
+        ],
+        {
+            "title_aux": "ImgProcessing_ComfyUI"
+        }
+    ],
+    "https://github.com/nirex0/ComfyUI_pytorch_openpose": [
+        [
+            "pytorch_openpose"
+        ],
+        {
+            "title_aux": "ComfyUI_pytorch_openpose"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-Dart": [
+        [
+            "DanbooruTagsTransformerBanTagsFromRegex",
+            "DanbooruTagsTransformerComposePrompt",
+            "DanbooruTagsTransformerComposePromptV2",
+            "DanbooruTagsTransformerDecode",
+            "DanbooruTagsTransformerDecodeBySplitedParts",
+            "DanbooruTagsTransformerGenerate",
+            "DanbooruTagsTransformerGenerateAdvanced",
+            "DanbooruTagsTransformerGenerationConfig",
+            "DanbooruTagsTransformerGetAspectRatio",
+            "DanbooruTagsTransformerLoader",
+            "DanbooruTagsTransformerRearrangedByAnimagine",
+            "DanbooruTagsTransformerRemoveTagToken"
+        ],
+        {
+            "title_aux": "ComfyUI-Dart"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-PromptUtilities": [
+        [
+            "PromptUtilitiesConstString",
+            "PromptUtilitiesConstStringMultiLine",
+            "PromptUtilitiesFormatString",
+            "PromptUtilitiesJoinStringList",
+            "PromptUtilitiesLoadPreset",
+            "PromptUtilitiesLoadPresetAdvanced",
+            "PromptUtilitiesPromptWeight",
+            "PromptUtilitiesRandomPreset",
+            "PromptUtilitiesRandomPresetAdvanced",
+            "PromptUtilitiesReplaceOrInsertTag",
+            "PromptUtilitiesRoundPromptWeight"
+        ],
+        {
+            "title_aux": "ComfyUI-PromptUtilities"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData": [
+        [
+            "CreateExtraMetaData",
+            "SaveImageWithMetaData"
+        ],
+        {
+            "title_aux": "ComfyUI-SaveImageWithMetaData"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-SizeFromPresets": [
+        [
+            "EmptyLatentImageFromPresetsSD15",
+            "EmptyLatentImageFromPresetsSDXL",
+            "GetSimilarResolution",
+            "GetSimilarResolutionEmptyLatent",
+            "RandomEmptyLatentImageFromPresetsSD15",
+            "RandomEmptyLatentImageFromPresetsSDXL",
+            "RandomSizeFromPresetsSD15",
+            "RandomSizeFromPresetsSDXL",
+            "SizeFromPresetsSD15",
+            "SizeFromPresetsSDXL"
+        ],
+        {
+            "title_aux": "ComfyUI-SizeFromPresets"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-TextOnSegs": [
+        [
+            "CalcMaxFontSize",
+            "ExtractDominantColor",
+            "GetComplementaryColor",
+            "SegsToRegion",
+            "TextOnSegsFloodFill"
+        ],
+        {
+            "title_aux": "ComfyUI-TextOnSegs"
+        }
+    ],
+    "https://github.com/noarche/sd-webui-color-enhance": [
+        [
+            "MMakerColorBlend",
+            "MMakerColorEnhance"
+        ],
+        {
+            "title_aux": "noarche/Color Enhance"
+        }
+    ],
+    "https://github.com/noembryo/ComfyUI-noEmbryo": [
+        [
+            "PromptTermList1",
+            "PromptTermList2",
+            "PromptTermList3",
+            "PromptTermList4",
+            "PromptTermList5",
+            "PromptTermList6"
+        ],
+        {
+            "author": "noEmbryo",
+            "description": "Some useful nodes for ComfyUI",
+            "nickname": "noEmbryo",
+            "title": "noEmbryo nodes",
+            "title_aux": "noEmbryo nodes"
+        }
+    ],
+    "https://github.com/nosiu/comfyui-instantId-faceswap": [
+        [
+            "FaceEmbed",
+            "FaceSwapGenerationInpaint",
+            "FaceSwapSetupPipeline",
+            "LCMLora"
+        ],
+        {
+            "title_aux": "ComfyUI InstantID Faceswapper"
+        }
+    ],
+    "https://github.com/noxinias/ComfyUI_NoxinNodes": [
+        [
+            "NoxinChime",
+            "NoxinPromptLoad",
+            "NoxinPromptSave",
+            "NoxinScaledResolution",
+            "NoxinSimpleMath",
+            "NoxinSplitPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI_NoxinNodes"
+        }
+    ],
+    "https://github.com/ntc-ai/ComfyUI-DARE-LoRA-Merge": [
+        [
+            "Apply LoRA",
+            "DARE Merge LoRA Stack",
+            "Save LoRA"
+        ],
+        {
+            "title_aux": "ComfyUI - Apply LoRA Stacker with DARE"
+        }
+    ],
+    "https://github.com/ntdviet/comfyui-ext/raw/main/custom_nodes/gcLatentTunnel/gcLatentTunnel.py": [
+        [
+            "gcLatentTunnel"
+        ],
+        {
+            "title_aux": "ntdviet/comfyui-ext"
+        }
+    ],
+    "https://github.com/nuanarchy/ComfyUI-NuA-BIRD": [
+        [
+            "Bird_Deblurring_NuA",
+            "Bird_Denoising_NuA",
+            "Bird_Inpainting_NuA",
+            "Bird_Loader_NuA",
+            "Bird_Non_Uniform_Deblurring_NuA",
+            "Bird_Super_Resolution_NuA"
+        ],
+        {
+            "title_aux": "ComfyUI-NuA-BIRD"
+        }
+    ],
+    "https://github.com/nuanarchy/ComfyUI-NuA-FlashFace": [
+        [
+            "FlashFace_Loader_NuA",
+            "FlashFace_Sampler_NuA"
+        ],
+        {
+            "title_aux": "ComfyUI-NuA-FlashFace"
+        }
+    ],
+    "https://github.com/nullquant/ComfyUI-BrushNet": [
+        [
+            "BlendInpaint",
+            "BrushNet",
+            "BrushNetLoader",
+            "CutForInpaint",
+            "PowerPaint",
+            "PowerPaintCLIPLoader",
+            "RAUNet",
+            "Terminal"
+        ],
+        {
+            "author": "nullquant",
+            "description": "These are custom nodes for ComfyUI native implementation of BrushNet, PowerPaint and RAUNet models",
+            "nickname": "BrushName nodes",
+            "title": "BrushNet",
+            "title_aux": "BrushNet"
+        }
+    ],
+    "https://github.com/nux1111/ComfyUI_NetDist_Plus": [
+        [
+            "CombineImageBatch",
+            "ConditioningFromBase64(Nux)",
+            "ConditioningToBase64(Nux)",
+            "ExtractBase64FromImage(Nux)",
+            "ExtractBase64FromImageUpload(Nux)",
+            "FetchRemote",
+            "FetchRemoteWithExtras(Nux)",
+            "LatentToBase64(Nux)",
+            "LoadCurrentWorkflowJSON",
+            "LoadDiskWorkflowJSON",
+            "LoadImageUrl",
+            "LoadLatentFromBase64(Nux)",
+            "LoadLatentNumpy",
+            "LoadLatentUrl",
+            "LoadWorkflowJSON",
+            "RemoteApplyValues(Nux)",
+            "RemoteApplyValuesMulti(Nux)",
+            "RemoteChainEnd",
+            "RemoteChainStart",
+            "RemoteChainStart(Nux)",
+            "RemoteQueueSimple",
+            "RemoteQueueSimple(Nux)",
+            "RemoteQueueWorker",
+            "SaveDiskWorkflowJSON",
+            "SaveImageUrl",
+            "SaveImageWithBase64(Nux)",
+            "SaveLatentNumpy"
+        ],
+        {
+            "title_aux": "ComfyUI_NetDist_Plus"
+        }
+    ],
+    "https://github.com/okgo4/ComfyUI-Mosaic-Mask": [
+        [
+            "MosaicMask"
+        ],
+        {
+            "title_aux": "ComfyUI-Mosaic-Mask"
+        }
+    ],
+    "https://github.com/olduvai-jp/ComfyUI-HfLoader": [
+        [
+            "Lora Loader From HF"
+        ],
+        {
+            "title_aux": "ComfyUI-HfLoader"
+        }
+    ],
+    "https://github.com/oleksandr612/ComfyUI-Counter": [
+        [
+            "Simple Counter"
+        ],
+        {
+            "title_aux": "ComfyUI-Counter"
+        }
+    ],
+    "https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92": [
+        [
+            "CLIPStringEncode _O",
+            "Chat completion _O",
+            "ChatGPT Simple _O",
+            "ChatGPT _O",
+            "ChatGPT compact _O",
+            "Chat_Completion _O",
+            "Chat_Message _O",
+            "Chat_Message_fromString _O",
+            "Concat Text _O",
+            "ConcatRandomNSP_O",
+            "Debug String _O",
+            "Debug Text _O",
+            "Debug Text route _O",
+            "Edit_image _O",
+            "Equation1param _O",
+            "Equation2params _O",
+            "GetImage_(Width&Height) _O",
+            "GetLatent_(Width&Height) _O",
+            "ImageScaleFactor _O",
+            "ImageScaleFactorSimple _O",
+            "LatentUpscaleFactor _O",
+            "LatentUpscaleFactorSimple _O",
+            "LatentUpscaleMultiply",
+            "Note _O",
+            "QOL Split String",
+            "RandomNSP _O",
+            "Replace Text _O",
+            "String _O",
+            "Text _O",
+            "Text2Image _O",
+            "Trim Text _O",
+            "VAEDecodeParallel _O",
+            "combine_chat_messages _O",
+            "compine_chat_messages _O",
+            "concat Strings _O",
+            "create image _O",
+            "create_image _O",
+            "debug Completeion _O",
+            "debug messages_O",
+            "float _O",
+            "floatToInt _O",
+            "floatToText _O",
+            "int _O",
+            "intToFloat _O",
+            "load_openAI _O",
+            "replace String _O",
+            "replace String advanced _O",
+            "saveTextToFile _O",
+            "seed _O",
+            "selectLatentFromBatch _O",
+            "string2Image _O",
+            "trim String _O",
+            "variation_image _O"
+        ],
+        {
+            "title_aux": "Quality of life Suit:V2"
+        }
+    ],
+    "https://github.com/opvelll/ComfyUI_TextListProduct": [
+        [
+            "ProductedString",
+            "TextListProduct",
+            "TextListProductWithSingleA",
+            "TextListProductWithSingleB",
+            "TextListProductWithSingleBoth"
+        ],
+        {
+            "title_aux": "Comfy UI Text List Product"
+        }
+    ],
+    "https://github.com/osi1880vr/prompt_quill_comfyui": [
+        [
+            "PromptQuillGenerate",
+            "PromptQuillGenerateConditioning",
+            "PromptQuillSail",
+            "PromptQuillSailConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI_Prompt-Quill"
+        }
+    ],
+    "https://github.com/ostris/ostris_nodes_comfyui": [
+        [
+            "LLM Pipe Loader - Ostris",
+            "LLM Prompt Upsampling - Ostris",
+            "One Seed - Ostris",
+            "Text Box - Ostris"
+        ],
+        {
+            "nodename_pattern": "- Ostris$",
+            "title_aux": "Ostris Nodes ComfyUI"
+        }
+    ],
+    "https://github.com/ownimage/ComfyUI-ownimage": [
+        [
+            "Caching Image Loader"
+        ],
+        {
+            "title_aux": "ComfyUI-ownimage"
+        }
+    ],
+    "https://github.com/oyvindg/ComfyUI-TrollSuite": [
+        [
+            "BinaryImageMask",
+            "ImagePadding",
+            "LoadLastImage",
+            "RandomMask",
+            "TransparentImage"
+        ],
+        {
+            "title_aux": "ComfyUI-TrollSuite"
+        }
+    ],
+    "https://github.com/oztrkoguz/ComfyUI_StoryCreator": [
+        [
+            "Kosmos2SamplerSimple2",
+            "KosmosLoader2",
+            "StoryLoader",
+            "StorySamplerSimple",
+            "Write2"
+        ],
+        {
+            "title_aux": "ComfyUI StoryCreater"
+        }
+    ],
+    "https://github.com/palant/extended-saveimage-comfyui": [
+        [
+            "SaveImageExtended"
+        ],
+        {
+            "title_aux": "Extended Save Image for ComfyUI"
+        }
+    ],
+    "https://github.com/palant/image-resize-comfyui": [
+        [
+            "ImageResize"
+        ],
+        {
+            "title_aux": "Image Resize for ComfyUI"
+        }
+    ],
+    "https://github.com/pamparamm/ComfyUI-ppm": [
+        [
+            "AttentionCouplePPM",
+            "CFGLimiterGuider",
+            "CFGPPSamplerSelect",
+            "CLIPMicroConditioning",
+            "CLIPNegPip",
+            "CLIPTextEncodeBREAK",
+            "CLIPTokenCounter",
+            "DynSamplerSelect",
+            "EmptyLatentImageAR",
+            "EmptyLatentImageARAdvanced",
+            "Guidance Limiter",
+            "LatentToMaskBB",
+            "LatentToWidthHeight",
+            "RandomPromptGenerator",
+            "StableCascade_AutoCompLatent"
+        ],
+        {
+            "title_aux": "ComfyUI-ppm"
+        }
+    ],
+    "https://github.com/pamparamm/ComfyUI-vectorscope-cc": [
+        [
+            "DiffusionCG",
+            "NormalizeLatent",
+            "VectorscopeCC"
+        ],
+        {
+            "title_aux": "ComfyUI Vectorscope CC"
+        }
+    ],
+    "https://github.com/pamparamm/sd-perturbed-attention": [
+        [
+            "PerturbedAttention",
+            "SmoothedEnergyGuidanceAdvanced",
+            "TRTAttachPag",
+            "TRTPerturbedAttention"
+        ],
+        {
+            "title_aux": "Perturbed-Attention Guidance"
+        }
+    ],
+    "https://github.com/pants007/comfy-pants": [
+        [
+            "CLIPTextEncodeAIO",
+            "Image Make Square"
+        ],
+        {
+            "title_aux": "pants"
+        }
+    ],
+    "https://github.com/patriciogonzalezvivo/comfyui_glslnodes": [
+        [
+            "float",
+            "glslBuffers",
+            "glslEditor",
+            "glslEditorPro",
+            "glslUniforms",
+            "glslViewer",
+            "int",
+            "vec2",
+            "vec2 (pos)",
+            "vec3",
+            "vec3 (pos)",
+            "vec4",
+            "vec4 (color)"
+        ],
+        {
+            "author": "Patricio Gonzalez Vivo",
+            "description": "A set of nodes to work with GLSL shaders",
+            "nickname": "GLSL Nodes",
+            "title": "GLSL Nodes",
+            "title_aux": "GLSL Nodes"
+        }
+    ],
+    "https://github.com/paulo-coronado/comfy_clip_blip_node": [
+        [
+            "CLIPTextEncodeBLIP",
+            "CLIPTextEncodeBLIP-2",
+            "Example"
+        ],
+        {
+            "title_aux": "comfy_clip_blip_node"
+        }
+    ],
+    "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH": [
+        [
+            "MultiObjectMask"
+        ],
+        {
+            "title_aux": "ComfyUI-LyraVSIH"
+        }
+    ],
+    "https://github.com/philz1337x/ComfyUI-ClarityAI": [
+        [
+            "Clarity AI Upscaler"
+        ],
+        {
+            "title_aux": "\u2728 Clarity AI - Creative Image Upscaler and Enhancer for ComfyUI"
+        }
+    ],
+    "https://github.com/phyblas/paint-by-example_comfyui": [
+        [
+            "PaintbyExampleAdvanced",
+            "PaintbyExampleGen",
+            "PaintbyExampleSimple",
+            "PaintbyIchimatsu",
+            "PaintbySingleColor"
+        ],
+        {
+            "title_aux": "paint-by-example @ ComfyUI"
+        }
+    ],
+    "https://github.com/picturesonpictures/comfy_PoP": [
+        [
+            "AdaptiveCannyDetector_PoP",
+            "AnyAspectRatio",
+            "ConditioningMultiplier_PoP",
+            "ConditioningNormalizer_PoP",
+            "DallE3_PoP",
+            "EfficientAttention",
+            "LoadImageResizer_PoP",
+            "LoraStackLoader10_PoP",
+            "LoraStackLoader_PoP",
+            "VAEDecoderPoP",
+            "VAEEncoderPoP"
+        ],
+        {
+            "title_aux": "comfy_PoP"
+        }
+    ],
+    "https://github.com/pikenrover/ComfyUI_PRNodes": [
+        [
+            "CheckpointLoaderSimpleExtended",
+            "EmptyLatentImageScaleBy",
+            "ImageScaleTo",
+            "LoadRandomImage",
+            "LoraLoaderExtended",
+            "RandomPrompt",
+            "RandomPromptMixed",
+            "Save Image w/Metadata"
+        ],
+        {
+            "title_aux": "ComfyUI_PRNodes"
+        }
+    ],
+    "https://github.com/pkpkTech/ComfyUI-SaveAVIF": [
+        [
+            "SaveAvif"
+        ],
+        {
+            "title_aux": "ComfyUI-SaveAVIF"
+        }
+    ],
+    "https://github.com/pkpkTech/ComfyUI-TemporaryLoader": [
+        [
+            "LoadTempCheckpoint",
+            "LoadTempLoRA",
+            "LoadTempMultiLoRA"
+        ],
+        {
+            "title_aux": "ComfyUI-TemporaryLoader"
+        }
+    ],
+    "https://github.com/portu-sim/comfyui_bmab": [
+        [
+            "BMAB Alpha Composit",
+            "BMAB Basic",
+            "BMAB Black And White",
+            "BMAB Blend",
+            "BMAB Clip Text Encoder SDXL",
+            "BMAB Conditioning To Bind",
+            "BMAB Context",
+            "BMAB ControlNet",
+            "BMAB ControlNet IPAdapter",
+            "BMAB ControlNet Openpose",
+            "BMAB Crop",
+            "BMAB Detail Anything",
+            "BMAB Detect And Mask",
+            "BMAB Detect And Paste",
+            "BMAB Detection Crop",
+            "BMAB Detector",
+            "BMAB Edge",
+            "BMAB Extractor",
+            "BMAB Face Detailer",
+            "BMAB Flux ControlNet",
+            "BMAB Flux Integrator",
+            "BMAB Google Gemini Prompt",
+            "BMAB Import Integrator",
+            "BMAB Integrator",
+            "BMAB KSampler",
+            "BMAB KSamplerHiresFix",
+            "BMAB KSamplerHiresFixWithUpscaler",
+            "BMAB KSamplerKohyaDeepShrink",
+            "BMAB Lama Inpaint",
+            "BMAB LoRA Loader",
+            "BMAB Load Image",
+            "BMAB Load Output Image",
+            "BMAB Masks To Images",
+            "BMAB Model To Bind",
+            "BMAB Noise Generator",
+            "BMAB Openpose Hand Detailer",
+            "BMAB Person Detailer",
+            "BMAB Preview Text",
+            "BMAB Prompt",
+            "BMAB Remote Access And Save",
+            "BMAB Remove Background",
+            "BMAB Resize By Person",
+            "BMAB Resize By Ratio",
+            "BMAB Resize and Fill",
+            "BMAB SD-WebUI API BMAB Extension",
+            "BMAB SD-WebUI API ControlNet",
+            "BMAB SD-WebUI API I2I",
+            "BMAB SD-WebUI API Server",
+            "BMAB SD-WebUI API T2I",
+            "BMAB SD-WebUI API T2I Hires.Fix",
+            "BMAB Save Image",
+            "BMAB SeedGenerator",
+            "BMAB Segment Anything",
+            "BMAB Simple Hand Detailer",
+            "BMAB Square",
+            "BMAB Subframe Hand Detailer",
+            "BMAB Text",
+            "BMAB ToBind",
+            "BMAB Upscale With Model",
+            "BMAB Upscaler",
+            "BMAB Watermark",
+            "BMAB Zoom Out"
+        ],
+        {
+            "title_aux": "comfyui_bmab"
+        }
+    ],
+    "https://github.com/prodogape/ComfyUI-EasyOCR": [
+        [
+            "Apply EasyOCR"
+        ],
+        {
+            "title_aux": "ComfyUI-EasyOCR"
+        }
+    ],
+    "https://github.com/prodogape/ComfyUI-Minio": [
+        [
+            "Load Image From Minio",
+            "Save Image To Minio",
+            "Set Minio Config"
+        ],
+        {
+            "title_aux": "Comfyui-Minio"
+        }
+    ],
+    "https://github.com/prodogape/ComfyUI-OmDet": [
+        [
+            "Apply OmDet"
+        ],
+        {
+            "title_aux": "ComfyUI-OmDet"
+        }
+    ],
+    "https://github.com/prodogape/Comfyui-Yolov8-JSON": [
+        [
+            "Apply Yolov8 Model",
+            "Apply Yolov8 Model Seg",
+            "Draw Labelme Json",
+            "Load Yolov8 Model",
+            "Load Yolov8 Model From Path",
+            "Save Labelme Json"
+        ],
+        {
+            "title_aux": "Comfyui-Yolov8-JSON"
+        }
+    ],
+    "https://github.com/pythongosssss/ComfyUI-Custom-Scripts": [
+        [
+            "CheckpointLoader|pysssss",
+            "ConstrainImageforVideo|pysssss",
+            "ConstrainImage|pysssss",
+            "LoadText|pysssss",
+            "LoraLoader|pysssss",
+            "MathExpression|pysssss",
+            "MultiPrimitive|pysssss",
+            "PlaySound|pysssss",
+            "Repeater|pysssss",
+            "ReroutePrimitive|pysssss",
+            "SaveText|pysssss",
+            "ShowText|pysssss",
+            "StringFunction|pysssss",
+            "SystemNotification|pysssss"
+        ],
+        {
+            "title_aux": "pythongosssss/ComfyUI-Custom-Scripts"
+        }
+    ],
+    "https://github.com/pythongosssss/ComfyUI-WD14-Tagger": [
+        [
+            "WD14Tagger|pysssss"
+        ],
+        {
+            "title_aux": "ComfyUI WD 1.4 Tagger"
+        }
+    ],
+    "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator": [
+        [
+            "Prompt_Generator",
+            "Save_Prompts"
+        ],
+        {
+            "title_aux": "Comfyui_MiniCPMv2_6-prompt-generator"
+        }
+    ],
+    "https://github.com/qwixiwp/queuetools": [
+        [
+            "load images (queue tools)"
+        ],
+        {
+            "title_aux": "queuetools"
+        }
+    ],
+    "https://github.com/ramyma/A8R8_ComfyUI_nodes": [
+        [
+            "AttentionCouple",
+            "AttentionCoupleRegion",
+            "AttentionCoupleRegions",
+            "Base64ImageInput",
+            "Base64ImageOutput"
+        ],
+        {
+            "title_aux": "A8R8 ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/randjtw/advance-aesthetic-score": [
+        [
+            "Adv_Scoring"
+        ],
+        {
+            "title_aux": "advance-aesthetic-score"
+        }
+    ],
+    "https://github.com/ratulrafsan/Comfyui-SAL-VTON": [
+        [
+            "SALVTON_Apply",
+            "SV_random"
+        ],
+        {
+            "title_aux": "Comfyui-SAL-VTON"
+        }
+    ],
+    "https://github.com/rcfcu2000/zhihuige-nodes-comfyui": [
+        [
+            "Combine ZHGMasks",
+            "Cover ZHGMasks",
+            "From ZHG pip",
+            "GroundingDinoModelLoader (zhihuige)",
+            "GroundingDinoPIPESegment (zhihuige)",
+            "GroundingDinoSAMSegment (zhihuige)",
+            "InvertMask (zhihuige)",
+            "SAMModelLoader (zhihuige)",
+            "To ZHG pip",
+            "ZHG FaceIndex",
+            "ZHG GetMaskArea",
+            "ZHG Image Levels",
+            "ZHG SaveImage",
+            "ZHG SmoothEdge",
+            "ZHG UltimateSDUpscale"
+        ],
+        {
+            "title_aux": "zhihuige-nodes-comfyui"
+        }
+    ],
+    "https://github.com/rcsaquino/comfyui-custom-nodes": [
+        [
+            "BackgroundRemover | rcsaquino",
+            "VAELoader | rcsaquino",
+            "VAEProcessor | rcsaquino"
+        ],
+        {
+            "title_aux": "rcsaquino/comfyui-custom-nodes"
+        }
+    ],
+    "https://github.com/receyuki/comfyui-prompt-reader-node": [
+        [
+            "SDAnyConverter",
+            "SDBatchLoader",
+            "SDLoraLoader",
+            "SDLoraSelector",
+            "SDParameterExtractor",
+            "SDParameterGenerator",
+            "SDPromptMerger",
+            "SDPromptReader",
+            "SDPromptSaver",
+            "SDTypeConverter"
+        ],
+        {
+            "author": "receyuki",
+            "description": "The ultimate solution for managing image metadata and multi-tool compatibility. ComfyUI node version of the SD Prompt Reader",
+            "nickname": "SD Prompt Reader",
+            "title": "SD Prompt Reader",
+            "title_aux": "SD Prompt Reader"
+        }
+    ],
+    "https://github.com/redhottensors/ComfyUI-Prediction": [
+        [
+            "AvoidErasePrediction",
+            "CFGPrediction",
+            "CharacteristicGuidancePrediction",
+            "CombinePredictions",
+            "ConditionedPrediction",
+            "EarlyMiddleLatePrediction",
+            "InterpolatePredictions",
+            "LogSigmas",
+            "PerpNegPrediction",
+            "SamplerCustomPrediction",
+            "ScalePrediction",
+            "ScaledGuidancePrediction",
+            "SelectSigmas",
+            "SplitAtSigma",
+            "SwitchPredictions"
+        ],
+        {
+            "author": "RedHotTensors",
+            "description": "Fully customizable Classifer Free Guidance for ComfyUI",
+            "nickname": "ComfyUI-Prediction",
+            "title": "ComfyUI-Prediction",
+            "title_aux": "ComfyUI-Prediction"
+        }
+    ],
+    "https://github.com/rgthree/rgthree-comfy": [
+        [],
+        {
+            "author": "rgthree",
+            "description": "A bunch of nodes I created that I also find useful.",
+            "nickname": "rgthree",
+            "nodename_pattern": " \\(rgthree\\)$",
+            "title": "Comfy Nodes",
+            "title_aux": "rgthree's ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/rhdunn/comfyui-audio-processing": [
+        [
+            "ComfyAudio.ApplyFilterBank",
+            "ComfyAudio.GriffinLim",
+            "ComfyAudio.InverseSpectrogram",
+            "ComfyAudio.LinearFilterBank",
+            "ComfyAudio.LoadAudio",
+            "ComfyAudio.MelScaleFilterBank",
+            "ComfyAudio.PlotFilterBank",
+            "ComfyAudio.PlotSpectrogram",
+            "ComfyAudio.PlotWaveform",
+            "ComfyAudio.Spectrogram"
+        ],
+        {
+            "title_aux": "comfyui-audio-processing"
+        }
+    ],
+    "https://github.com/rhdunn/comfyui-bus-plugin": [
+        [
+            "ComfyBus.CLIPConditioningBusNode",
+            "ComfyBus.CLIPEncodedPromptBusNode",
+            "ComfyBus.CheckpointBusNode",
+            "ComfyBus.ImageBusNode",
+            "ComfyBus.ImageParameterBusNode",
+            "ComfyBus.ImageScaleToSideParameterBusNode",
+            "ComfyBus.ImageSizeBusNode",
+            "ComfyBus.LatentImageBusNode",
+            "ComfyBus.LatentImageParameterBusNode",
+            "ComfyBus.PromptBusNode",
+            "ComfyBus.PromptSDXLBusNode"
+        ],
+        {
+            "title_aux": "comfyui-bus-plugin"
+        }
+    ],
+    "https://github.com/richinsley/Comfy-LFO": [
+        [
+            "LFO_Pulse",
+            "LFO_Sawtooth",
+            "LFO_Sine",
+            "LFO_Square",
+            "LFO_Triangle"
+        ],
+        {
+            "title_aux": "Comfy-LFO"
+        }
+    ],
+    "https://github.com/ricklove/comfyui-ricklove": [
+        [
+            "RL_Crop_Resize",
+            "RL_Crop_Resize_Batch",
+            "RL_Finetune_Analyze",
+            "RL_Finetune_Analyze_Batch",
+            "RL_Finetune_Variable",
+            "RL_Image_Shadow",
+            "RL_Image_Threshold_Channels",
+            "RL_Internet_Search",
+            "RL_LoadImageSequence",
+            "RL_Optical_Flow_Dip",
+            "RL_SaveImageSequence",
+            "RL_Uncrop",
+            "RL_Warp_Image",
+            "RL_Zoe_Depth_Map_Preprocessor",
+            "RL_Zoe_Depth_Map_Preprocessor_Raw_Infer",
+            "RL_Zoe_Depth_Map_Preprocessor_Raw_Process"
+        ],
+        {
+            "title_aux": "comfyui-ricklove"
+        }
+    ],
+    "https://github.com/risunobushi/comfyUI_FrequencySeparation_RGB-HSV": [
+        [
+            "FrequencyCombination",
+            "FrequencyCombinationHSV",
+            "FrequencySeparation",
+            "FrequencySeparationHSV"
+        ],
+        {
+            "title_aux": "comfyUI_FrequencySeparation_RGB-HSV"
+        }
+    ],
+    "https://github.com/rklaffehn/rk-comfy-nodes": [
+        [
+            "RK_CivitAIAddHashes",
+            "RK_CivitAIMetaChecker"
+        ],
+        {
+            "title_aux": "rk-comfy-nodes"
+        }
+    ],
+    "https://github.com/romeobuilderotti/ComfyUI-PNG-Metadata": [
+        [
+            "SetMetadataAll",
+            "SetMetadataString"
+        ],
+        {
+            "title_aux": "ComfyUI PNG Metadata"
+        }
+    ],
+    "https://github.com/ronniebasak/ComfyUI-Tara-LLM-Integration": [
+        [
+            "TaraAdvancedComposition",
+            "TaraApiKeyLoader",
+            "TaraApiKeySaver",
+            "TaraDaisyChainNode",
+            "TaraLLMConfig",
+            "TaraPresetLLMConfig",
+            "TaraPrompter",
+            "TaraPrompterAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI-Tara-LLM-Integration"
+        }
+    ],
+    "https://github.com/royceschultz/ComfyUI-Notifications": [
+        [
+            "Notif-PlaySound",
+            "Notif-SystemNotification",
+            "Notif-UnifiedNotification",
+            "Notif-Webhook"
+        ],
+        {
+            "title_aux": "ComfyUI-Notifications"
+        }
+    ],
+    "https://github.com/royceschultz/ComfyUI-TranscriptionTools": [
+        [
+            "TT-AudioSink",
+            "TT-ConvertVhsAudioToAudio",
+            "TT-LoadAudio",
+            "TT-LoadBatch",
+            "TT-LoadVideoAudio",
+            "TT-LoadWhisperModel",
+            "TT-WhisperTranscription",
+            "TT-WhisperTranscriptionBatch"
+        ],
+        {
+            "title_aux": "ComfyUI-TranscriptionTools"
+        }
+    ],
+    "https://github.com/rui40000/RUI-Nodes": [
+        [
+            "ABCondition",
+            "CharacterCount"
+        ],
+        {
+            "title_aux": "RUI-Nodes"
+        }
+    ],
+    "https://github.com/ruiqutech/ComfyUI-RuiquNodes": [
+        [
+            "EvaluateListMultiple1",
+            "EvaluateListMultiple3",
+            "EvaluateListMultiple6",
+            "EvaluateListMultiple9",
+            "EvaluateMultiple1",
+            "EvaluateMultiple3",
+            "EvaluateMultiple6",
+            "EvaluateMultiple9",
+            "ImageDilate",
+            "ImageErode",
+            "ListPath",
+            "MaskDilate",
+            "MaskErode",
+            "PreviewMask",
+            "RangeSplit",
+            "SaveMask",
+            "StringAsAny",
+            "StringConcat1",
+            "StringConcat3",
+            "StringConcat6",
+            "StringConcat9",
+            "StringPathStem",
+            "TermsToList",
+            "VAEDecodeSave"
+        ],
+        {
+            "title_aux": "RuiquNodes for ComfyUI"
+        }
+    ],
+    "https://github.com/runtime44/comfyui_r44_nodes": [
+        [
+            "Runtime44ColorMatch",
+            "Runtime44DynamicKSampler",
+            "Runtime44FilmGrain",
+            "Runtime44ImageEnhance",
+            "Runtime44ImageOverlay",
+            "Runtime44ImageResizer",
+            "Runtime44ImageToNoise",
+            "Runtime44IterativeUpscaleFactor",
+            "Runtime44MaskSampler",
+            "Runtime44TiledMaskSampler",
+            "Runtime44Upscaler"
+        ],
+        {
+            "title_aux": "Runtime44 ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside": [
+        [
+            "AreaFeatureNode",
+            "AudioFeatureExtractor",
+            "AudioFeatureVisualizer",
+            "AudioFilter",
+            "AudioSeparator",
+            "BrightnessFeatureNode",
+            "ColorFeatureNode",
+            "DepthBasedMaskOpacity",
+            "DepthFeatureNode",
+            "DepthShapeModifier",
+            "DownloadOpenUnmixModel",
+            "DyeImage",
+            "EmitterMovement",
+            "FeatureCombine",
+            "FeatureFade",
+            "FeatureMath",
+            "FeatureMixer",
+            "FeatureOscillator",
+            "FeatureRebase",
+            "FeatureScaler",
+            "FeatureSmoothing",
+            "FeatureToWeightsStrategy",
+            "FlexDepthBasedMaskOpacity",
+            "FlexImageBloom",
+            "FlexImageChromaticAberration",
+            "FlexImageColorGrade",
+            "FlexImageEdgeDetect",
+            "FlexImageGlitch",
+            "FlexImageKaleidoscope",
+            "FlexImageParallax",
+            "FlexImagePixelate",
+            "FlexImagePosterize",
+            "FlexImageTiltShift",
+            "FlexMaskBinary",
+            "FlexMaskDepthChamber",
+            "FlexMaskDepthChamberRelative",
+            "FlexMaskEmanatingRings",
+            "FlexMaskMath",
+            "FlexMaskMorph",
+            "FlexMaskOpacity",
+            "FlexMaskRandomShapes",
+            "FlexMaskTransform",
+            "FlexMaskVoronoiScheduled",
+            "FlexMaskWarp",
+            "FlexMaskWavePropagation",
+            "FrequencyFilterCustom",
+            "FrequencyFilterPreset",
+            "GravityWell",
+            "ImageChunk",
+            "ImageDifference",
+            "ImageInterval",
+            "ImageIntervalSelectPercentage",
+            "ImageShuffle",
+            "LocationFromMask",
+            "LocationFromPoint",
+            "LocationTransform",
+            "MIDILoadAndExtract",
+            "MaskMath",
+            "MaskMorph",
+            "MaskRings",
+            "MaskTransform",
+            "MaskWarp",
+            "MotionFeatureNode",
+            "MovingShape",
+            "OpticalFlowDirectionMask",
+            "OpticalFlowMaskModulation",
+            "OpticalFlowParticleSystem",
+            "ParticleColorModulation",
+            "ParticleEmissionMask",
+            "ParticleEmitter",
+            "ParticleSizeModulation",
+            "ParticleSpeedModulation",
+            "PreviewFeature",
+            "ProximityFeatureNode",
+            "ProximityVisualizer",
+            "SpringJointSetting",
+            "StaticBody",
+            "SwapDevice",
+            "TextMaskNode",
+            "TimeFeatureNode",
+            "VideoChunk",
+            "Vortex",
+            "_mfc"
+        ],
+        {
+            "title_aux": "RyanOnTheInside"
+        }
+    ],
+    "https://github.com/s1dlx/comfy_meh/raw/main/meh.py": [
+        [
+            "MergingExecutionHelper"
+        ],
+        {
+            "title_aux": "comfy_meh"
+        }
+    ],
+    "https://github.com/saftle/suplex_comfy_nodes": [
+        [
+            "ControlNet Selector",
+            "ControlNetOptionalLoader",
+            "DiffusersSelector",
+            "MultiInputVariableRewrite",
+            "SaveImageJPGNoMeta"
+        ],
+        {
+            "title_aux": "Suplex Misc ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer": [
+        [
+            "FlipStreamBatch",
+            "FlipStreamLoader",
+            "FlipStreamMap",
+            "FlipStreamOption",
+            "FlipStreamReduce",
+            "FlipStreamSetMode",
+            "FlipStreamSwitchVFI",
+            "FlipStreamUpdate",
+            "FlipStreamViewer"
+        ],
+        {
+            "title_aux": "ComfyUI_FlipStreamViewer"
+        }
+    ],
+    "https://github.com/sdfxai/SDFXBridgeForComfyUI": [
+        [
+            "SDFXClipTextEncode"
+        ],
+        {
+            "title_aux": "SDFXBridgeForComfyUI - ComfyUI Custom Node for SDFX Integration"
+        }
+    ],
+    "https://github.com/seanlynch/comfyui-optical-flow": [
+        [
+            "Apply optical flow",
+            "Compute optical flow",
+            "Visualize optical flow"
+        ],
+        {
+            "title_aux": "ComfyUI Optical Flow"
+        }
+    ],
+    "https://github.com/seanlynch/srl-nodes": [
+        [
+            "SRL Conditional Interrrupt",
+            "SRL Eval",
+            "SRL Filter Image List",
+            "SRL Format String"
+        ],
+        {
+            "title_aux": "SRL's nodes"
+        }
+    ],
+    "https://github.com/seghier/ComfyUI_LibreTranslate/raw/main/translate_node.py": [
+        [
+            "LibreTranslate"
+        ],
+        {
+            "title_aux": "ComfyUI_LibreTranslate"
+        }
+    ],
+    "https://github.com/sergekatzmann/ComfyUI_Nimbus-Pack": [
+        [
+            "AdjustAndRoundDimensions",
+            "AspectRatioMobileDevices",
+            "ImageResizeAndCropNode",
+            "ImageSquareAdapterNode",
+            "PopularScreenResolutions"
+        ],
+        {
+            "title_aux": "ComfyUI_Nimbus-Pack"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-Image-reward": [
+        [
+            "ImageBatchToList_",
+            "ImageRewardScore_"
+        ],
+        {
+            "title_aux": "comfyui-Image-reward"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-consistency-decoder": [
+        [
+            "VAEDecodeConsistencyDecoder",
+            "VAELoaderConsistencyDecoder"
+        ],
+        {
+            "title_aux": "Consistency Decoder"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-edit-mask": [
+        [
+            "EditMask"
+        ],
+        {
+            "title_aux": "comfyui-edit-mask"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-liveportrait": [
+        [
+            "ExpressionEditor_",
+            "ExpressionVideo2VideoNode",
+            "ExpressionVideoNode",
+            "FaceCropInfo",
+            "LivePortraitNode",
+            "LivePortraitVideoNode",
+            "Retargeting"
+        ],
+        {
+            "title_aux": "comfyui-liveportrait"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-mixlab-nodes": [
+        [
+            "3DImage",
+            "AppInfo",
+            "ApplyVisualStylePrompting_",
+            "AreaToMask",
+            "AudioPlay",
+            "CenterImage",
+            "CkptNames_",
+            "Color",
+            "ComparingTwoFrames_",
+            "CompositeImages_",
+            "DepthViewer",
+            "DynamicDelayProcessor",
+            "EmbeddingPrompt",
+            "EnhanceImage",
+            "FaceToMask",
+            "FeatheredMask",
+            "FloatSlider",
+            "FloatingVideo",
+            "Font",
+            "GLIGENTextBoxApply_Advanced",
+            "GetImageSize_",
+            "GradientImage",
+            "GridDisplayAndSave",
+            "GridInput",
+            "GridOutput",
+            "ImageBatchToList_",
+            "ImageColorTransfer",
+            "ImageCropByAlpha",
+            "ImageListToBatch_",
+            "ImagesPrompt_",
+            "IncrementingListNode_",
+            "IntNumber",
+            "JoinWithDelimiter",
+            "KeyInput",
+            "LimitNumber",
+            "ListSplit_",
+            "LoadImagesFromPath",
+            "LoadImagesFromURL",
+            "LoadImagesToBatch",
+            "LoraNames_",
+            "LoraPrompt",
+            "MaskListMerge_",
+            "MaskListReplace_",
+            "MergeLayers",
+            "MirroredImage",
+            "MultiplicationNode",
+            "NewLayer",
+            "NoiseImage",
+            "OutlineMask",
+            "P5Input",
+            "PreviewMask_",
+            "PromptImage",
+            "PromptSimplification",
+            "PromptSlide",
+            "RandomPrompt",
+            "ResizeImageMixlab",
+            "SamplerNames_",
+            "SaveImageAndMetadata_",
+            "SaveImageToLocal",
+            "ScreenShare",
+            "Seed_",
+            "ShowLayer",
+            "SmoothMask",
+            "SpeechRecognition",
+            "SpeechSynthesis",
+            "SplitImage",
+            "SplitLongMask",
+            "StyleAlignedBatchAlign_",
+            "StyleAlignedReferenceSampler_",
+            "StyleAlignedSampleReferenceLatents_",
+            "SvgImage",
+            "SwitchByIndex",
+            "TESTNODE_",
+            "TESTNODE_TOKEN",
+            "TextImage",
+            "TextInput_",
+            "TextToNumber",
+            "TransparentImage",
+            "VAEDecodeConsistencyDecoder",
+            "VAELoaderConsistencyDecoder"
+        ],
+        {
+            "title_aux": "comfyui-mixlab-nodes"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-sound-lab": [
+        [
+            "AudioPlay",
+            "Musicgen_",
+            "StableAudio_"
+        ],
+        {
+            "title_aux": "comfyui-sound-lab"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-try-on": [
+        [
+            "CatVTONNode",
+            "FashionClothMask",
+            "FashionClothMask2"
+        ],
+        {
+            "author": "chflame",
+            "description": "CatVTON warpper for ComfyUI",
+            "nickname": "CatVTON_Wrapper",
+            "title": "CatVTON_Wrapper",
+            "title_aux": "comfyui-try-on"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-ultralytics-yolo": [
+        [
+            "DetectByLabel"
+        ],
+        {
+            "title_aux": "comfyui-ultralytics-yolo"
+        }
+    ],
+    "https://github.com/shi3z/ComfyUI_Memeplex_DALLE": [
+        [
+            "DallERender",
+            "GPT",
+            "MemeplexCustomSDXLRender",
+            "MemeplexRender",
+            "TextInput",
+            "TextSend"
+        ],
+        {
+            "title_aux": "ComfyUI_Memeplex_DALLE"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI-PhotoMaker-Plus": [
+        [
+            "PhotoMakerEncodePlus",
+            "PhotoMakerInsightFaceLoader",
+            "PhotoMakerLoaderPlus",
+            "PhotoMakerLoraLoaderPlus",
+            "PhotoMakerStyles",
+            "PrepImagesForClipVisionFromPath"
+        ],
+        {
+            "title_aux": "ComfyUI PhotoMaker Plus"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI-TiledDiffusion": [
+        [
+            "NoiseInversion",
+            "SpotDiffusionParams_TiledDiffusion",
+            "TiledDiffusion",
+            "VAEDecodeTiled_TiledDiffusion",
+            "VAEEncodeTiled_TiledDiffusion"
+        ],
+        {
+            "title_aux": "Tiled Diffusion & VAE for ComfyUI"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI-semantic-aware-guidance": [
+        [
+            "SemanticAwareGuidance"
+        ],
+        {
+            "title_aux": "Semantic-aware Guidance (S-CFG)"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI_smZNodes": [
+        [
+            "smZ CLIPTextEncode",
+            "smZ Settings"
+        ],
+        {
+            "title_aux": "smZNodes"
+        }
+    ],
+    "https://github.com/shingo1228/ComfyUI-SDXL-EmptyLatentImage": [
+        [
+            "SDXL Empty Latent Image"
+        ],
+        {
+            "title_aux": "ComfyUI-SDXL-EmptyLatentImage"
+        }
+    ],
+    "https://github.com/shingo1228/ComfyUI-send-eagle-slim": [
+        [
+            "Send Eagle with text",
+            "Send Webp Image to Eagle"
+        ],
+        {
+            "title_aux": "ComfyUI-send-Eagle(slim)"
+        }
+    ],
+    "https://github.com/shinich39/comfyui-load-image-with-cmd": [
+        [
+            "LoadImageWithCMD"
+        ],
+        {
+            "author": "shinich39",
+            "description": "Load image and partially workflow with javascript.",
+            "nickname": "load-image-with-cmd",
+            "title": "load-image-with-cmd",
+            "title_aux": "comfyui-load-image-with-cmd"
+        }
+    ],
+    "https://github.com/shinich39/comfyui-parse-image": [
+        [
+            "LoadBooleanFromImage",
+            "LoadComboFromImage",
+            "LoadFloatFromImage",
+            "LoadIntFromImage",
+            "LoadStringFromImage"
+        ],
+        {
+            "author": "shinich39",
+            "description": "Extract metadata from image.",
+            "nickname": "parse-image",
+            "title": "parse-image",
+            "title_aux": "comfyui-parse-image"
+        }
+    ],
+    "https://github.com/shinich39/comfyui-put-image": [
+        [
+            "PutImage"
+        ],
+        {
+            "author": "shinich39",
+            "description": "Load image from directory.",
+            "nickname": "put-image",
+            "title": "put-image",
+            "title_aux": "comfyui-put-image"
+        }
+    ],
+    "https://github.com/shobhitic/ComfyUI-PlusMinusTextClip": [
+        [
+            "PlusMinusTextClip"
+        ],
+        {
+            "title_aux": "PlusMinusTextClip - Single node for Positive and Negative Prompts"
+        }
+    ],
+    "https://github.com/shockz0rz/ComfyUI_InterpolateEverything": [
+        [
+            "OpenposePreprocessorInterpolate"
+        ],
+        {
+            "title_aux": "InterpolateEverything"
+        }
+    ],
+    "https://github.com/shockz0rz/comfy-easy-grids": [
+        [
+            "FloatToText",
+            "GridFloatList",
+            "GridFloats",
+            "GridIntList",
+            "GridInts",
+            "GridLoras",
+            "GridStringList",
+            "GridStrings",
+            "ImageGridCommander",
+            "IntToText",
+            "SaveImageGrid",
+            "TextConcatenator"
+        ],
+        {
+            "title_aux": "comfy-easy-grids"
+        }
+    ],
+    "https://github.com/siliconflow/BizyAir": [
+        [
+            "BizyAirAuraSR",
+            "BizyAirBAE_NormalMapPreprocessor",
+            "BizyAirBinaryPreprocessor",
+            "BizyAirCannyEdgePreprocessor",
+            "BizyAirColorPreprocessor",
+            "BizyAirDWPreprocessor",
+            "BizyAirDepthAnythingV2Preprocessor",
+            "BizyAirFakeScribblePreprocessor",
+            "BizyAirGenerateLightningImage",
+            "BizyAirHEDPreprocessor",
+            "BizyAirJoyCaption",
+            "BizyAirLeReS_DepthMapPreprocessor",
+            "BizyAirLineArtPreprocessor",
+            "BizyAirM_LSDPreprocessor",
+            "BizyAirMetric3D_DepthMapPreprocessor",
+            "BizyAirMetric3D_NormalMapPreprocessor",
+            "BizyAirMiDaS_DepthMapPreprocessor",
+            "BizyAirMiDaS_NormalMapPreprocessor",
+            "BizyAirOneFormer_ADE20K_SemSegPreprocessor",
+            "BizyAirOneFormer_COCO_SemSegPreprocessor",
+            "BizyAirOpenposePreprocessor",
+            "BizyAirPiDiNetPreprocessor",
+            "BizyAirRemoveBackground",
+            "BizyAirSAMPreprocessor",
+            "BizyAirScribblePreprocessor",
+            "BizyAirSiliconCloudLLMAPI",
+            "BizyAirSuperResolution",
+            "BizyAirTilePreprocessor",
+            "BizyAirUniFormer_SemSegPreprocessor",
+            "BizyAirZoe_DepthMapPreprocessor",
+            "BizyAir_MinusZoneChatGLM3TextEncode",
+            "StableDiffusionXLControlNetUnionPipeline"
+        ],
+        {
+            "title_aux": "\u2601\ufe0fBizyAir Nodes"
+        }
+    ],
+    "https://github.com/sipherxyz/comfyui-art-venture": [
+        [
+            "AV_AwsBedrockClaudeApi",
+            "AV_AwsBedrockMistralApi",
+            "AV_CheckpointMerge",
+            "AV_CheckpointModelsToParametersPipe",
+            "AV_CheckpointSave",
+            "AV_ClaudeApi",
+            "AV_ControlNetEfficientLoader",
+            "AV_ControlNetEfficientLoaderAdvanced",
+            "AV_ControlNetEfficientStacker",
+            "AV_ControlNetEfficientStackerSimple",
+            "AV_ControlNetLoader",
+            "AV_ControlNetPreprocessor",
+            "AV_LLMApiConfig",
+            "AV_LLMChat",
+            "AV_LLMCompletion",
+            "AV_LLMMessage",
+            "AV_LoraListLoader",
+            "AV_LoraListStacker",
+            "AV_LoraLoader",
+            "AV_OpenAIApi",
+            "AV_ParametersPipeToCheckpointModels",
+            "AV_ParametersPipeToPrompts",
+            "AV_PromptsToParametersPipe",
+            "AV_SAMLoader",
+            "AV_VAELoader",
+            "AspectRatioSelector",
+            "BLIPCaption",
+            "BLIPLoader",
+            "BooleanPrimitive",
+            "CheckpointNameSelector",
+            "ColorBlend",
+            "ColorCorrect",
+            "DeepDanbooruCaption",
+            "DependenciesEdit",
+            "Fooocus_KSampler",
+            "Fooocus_KSamplerAdvanced",
+            "GetBoolFromJson",
+            "GetFloatFromJson",
+            "GetIntFromJson",
+            "GetObjectFromJson",
+            "GetSAMEmbedding",
+            "GetTextFromJson",
+            "ISNetLoader",
+            "ISNetSegment",
+            "ImageAlphaComposite",
+            "ImageApplyChannel",
+            "ImageExtractChannel",
+            "ImageGaussianBlur",
+            "ImageMuxer",
+            "ImageRepeat",
+            "ImageScaleDown",
+            "ImageScaleDownBy",
+            "ImageScaleDownToSize",
+            "ImageScaleToMegapixels",
+            "LaMaInpaint",
+            "LoadImageAsMaskFromUrl",
+            "LoadImageFromUrl",
+            "LoadJsonFromUrl",
+            "MergeModels",
+            "NumberScaler",
+            "OverlayInpaintedImage",
+            "OverlayInpaintedLatent",
+            "PrepareImageAndMaskForInpaint",
+            "QRCodeGenerator",
+            "RandomFloat",
+            "RandomInt",
+            "SAMEmbeddingToImage",
+            "SDXLAspectRatioSelector",
+            "SDXLPromptStyler",
+            "SeedSelector",
+            "StringToInt",
+            "StringToNumber"
+        ],
+        {
+            "title_aux": "comfyui-art-venture"
+        }
+    ],
+    "https://github.com/skfoo/ComfyUI-Coziness": [
+        [
+            "LoraTextExtractor-b1f83aa2",
+            "MultiLoraLoader-70bf3d77"
+        ],
+        {
+            "title_aux": "ComfyUI-Coziness"
+        }
+    ],
+    "https://github.com/slyt/comfyui-ollama-nodes": [
+        [
+            "BooleanToString",
+            "DownloadHuggingfaceModel",
+            "FloatToString",
+            "GenerateOllama",
+            "IntToString",
+            "ListModels",
+            "ListToString",
+            "PullModel"
+        ],
+        {
+            "title_aux": "comfyui-ollama-nodes"
+        }
+    ],
+    "https://github.com/smagnetize/kb-comfyui-nodes": [
+        [
+            "SingleImageDataUrlLoader"
+        ],
+        {
+            "title_aux": "kb-comfyui-nodes"
+        }
+    ],
+    "https://github.com/smlbiobot/ComfyUI-Flux-Replicate-API": [
+        [
+            "SML_FluxPro_Replicate_Standalone"
+        ],
+        {
+            "title_aux": "ComfyUI-Flux-Replicate-API"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_AnyDoor": [
+        [
+            "AnyDoor_LoadModel",
+            "AnyDoor_img2img"
+        ],
+        {
+            "title_aux": "ComfyUI_AnyDoor"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_CSGO_Wrapper": [
+        [
+            "Blip_Loader",
+            "CSGO_Loader",
+            "CSGO_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_CSGO_Wrapper"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_ChatGLM_API": [
+        [
+            "Glm_4_9b_Chat",
+            "Glm_4v_9b",
+            "Glm_Lcoal_Or_Repo",
+            "ZhipuaiApi_Character",
+            "ZhipuaiApi_Txt",
+            "ZhipuaiApi_img"
+        ],
+        {
+            "title_aux": "ComfyUI_ChatGLM_API"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_CustomNet": [
+        [
+            "CustomNet_LoadModel",
+            "CustomNet_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_CustomNet"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_DeepFakeDefenders": [
+        [
+            "DeepFakeDefender_Loader",
+            "DeepFakeDefender_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_DeepFakeDefenders"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Diffree": [
+        [
+            "Diffree_Model_Loader",
+            "Diffree_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Diffree"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_EchoMimic": [
+        [
+            "Echo_LoadModel",
+            "Echo_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_EchoMimic"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_FoleyCrafter": [
+        [
+            "FoleyCrafter_LoadModel",
+            "FoleyCrafter_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_FoleyCrafter"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_FollowYourEmoji": [
+        [
+            "Emoji_Make_Temple",
+            "FollowYouEmoji_LoadModel",
+            "FollowYouEmoji_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_FollowYourEmoji"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_HiDiffusion_Pro": [
+        [
+            "HI_Diffusers_Model_Loader",
+            "Hi_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_HiDiffusion_Pro"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_ID_Animator": [
+        [
+            "ID_Animator",
+            "ID_Repo_Choice"
+        ],
+        {
+            "title_aux": "ComfyUI_ID_Animator"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Llama3_8B": [
+        [
+            "ChatQA_1p5_8b",
+            "Local_Or_Repo_Choice",
+            "Meta_Llama3_8B",
+            "MiniCPM_Llama3_V25"
+        ],
+        {
+            "title_aux": "ComfyUI_Llama3_8B"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_MS_Diffusion": [
+        [
+            "MS_Object_img_Batch",
+            "MSdiffusion_Model_Loader",
+            "MSdiffusion_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_MS_Diffusion"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_MooER": [
+        [
+            "MooER_LoadModel",
+            "MooER_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_MooER"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_ParlerTTS": [
+        [
+            "ParlerTTS_LoadModel",
+            "ParlerTTS_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_ParlerTTS"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Pic2Story": [
+        [
+            "Pic2Story_Loader",
+            "Pic2Story_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Pic2Story"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Pipeline_Tool": [
+        [
+            "Pipeline_Tool"
+        ],
+        {
+            "title_aux": "ComfyUI_Pipeline_Tool"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Pops": [
+        [
+            "Pops_Decoder",
+            "Pops_Repo_Loader",
+            "Pops_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Pops"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_StableAudio_Open": [
+        [
+            "StableAudio_ModelLoader",
+            "StableAudio_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_StableAudio_Open"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Stable_Makeup": [
+        [
+            "StableMakeup_LoadModel",
+            "StableMakeup_Sampler"
+        ],
+        {
+            "author": "Sajjad Ayobbi",
+            "title_aux": "ComfyUI_Stable_Makeup"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_StoryDiffusion": [
+        [
+            "Comic_Type",
+            "Pre_Translate_prompt",
+            "Storydiffusion_Model_Loader",
+            "Storydiffusion_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_StoryDiffusion"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Streamv2v_Plus": [
+        [
+            "Stream_Lora_Loader",
+            "Stream_Model_Loader",
+            "Stream_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Streamv2v_Plus"
+        }
+    ],
+    "https://github.com/sn0w12/ComfyUI-Sn0w-Scripts": [
+        [
+            "Character Selector",
+            "Copy/Paste Textbox",
+            "Filter Tags",
+            "Get Font Size",
+            "Load Lora Folder",
+            "Load Lora Sn0w",
+            "Lora Selector",
+            "Lora Tester",
+            "Prompt Combine",
+            "Prompt Selector",
+            "Sn0w KSampler",
+            "Sn0w Lora Stacker",
+            "Upscale Image With Model By"
+        ],
+        {
+            "title_aux": "ComfyUI-Sn0w-Scripts"
+        }
+    ],
+    "https://github.com/souki202/ComfyUI-LoadImage-Advanced": [
+        [
+            "ColorAdjustment",
+            "LoadImageUpscale",
+            "LoadImageUpscaleBy"
+        ],
+        {
+            "title_aux": "ComfyUI-LoadImage-Advanced"
+        }
+    ],
+    "https://github.com/space-nuko/ComfyUI-Disco-Diffusion": [
+        [
+            "DiscoDiffusion_DiscoDiffusion",
+            "DiscoDiffusion_DiscoDiffusionExtraSettings",
+            "DiscoDiffusion_GuidedDiffusionLoader",
+            "DiscoDiffusion_OpenAICLIPLoader"
+        ],
+        {
+            "title_aux": "Disco Diffusion"
+        }
+    ],
+    "https://github.com/space-nuko/ComfyUI-OpenPose-Editor": [
+        [
+            "Nui.OpenPoseEditor"
+        ],
+        {
+            "title_aux": "OpenPose Editor"
+        }
+    ],
+    "https://github.com/space-nuko/nui-suite": [
+        [
+            "Nui.DynamicPromptsTextGen",
+            "Nui.FeelingLuckyTextGen",
+            "Nui.OutputString"
+        ],
+        {
+            "title_aux": "nui suite"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-Florence-2": [
+        [
+            "Florence2",
+            "Florence2Postprocess",
+            "Florence2PostprocessAll",
+            "LoadFlorence2Model"
+        ],
+        {
+            "title_aux": "ComfyUI-Florence-2"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-HQ-Image-Save": [
+        [
+            "LoadEXR",
+            "LoadEXRFrames",
+            "LoadLatentEXR",
+            "SaveEXR",
+            "SaveEXRFrames",
+            "SaveLatentEXR",
+            "SaveTiff"
+        ],
+        {
+            "title_aux": "ComfyUI-HQ-Image-Save"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-Image-Filters": [
+        [
+            "AdainFilterLatent",
+            "AdainImage",
+            "AdainLatent",
+            "AlphaClean",
+            "AlphaMatte",
+            "BatchAlign",
+            "BatchAverageImage",
+            "BatchAverageUnJittered",
+            "BatchNormalizeImage",
+            "BatchNormalizeLatent",
+            "BetterFilmGrain",
+            "BilateralFilterImage",
+            "BlurImageFast",
+            "BlurMaskFast",
+            "ClampOutliers",
+            "ColorMatchImage",
+            "ConditioningSubtract",
+            "ConvertNormals",
+            "CustomNoise",
+            "DepthToNormals",
+            "DifferenceChecker",
+            "DilateErodeMask",
+            "EnhanceDetail",
+            "ExposureAdjust",
+            "FrequencyCombine",
+            "FrequencySeparate",
+            "GameOfLife",
+            "GuidedFilterAlpha",
+            "GuidedFilterImage",
+            "ImageConstant",
+            "ImageConstantHSV",
+            "InstructPixToPixConditioningAdvanced",
+            "JitterImage",
+            "Keyer",
+            "LatentNormalizeShuffle",
+            "LatentStats",
+            "MedianFilterImage",
+            "ModelTest",
+            "NormalMapSimple",
+            "OffsetLatentImage",
+            "PrintSigmas",
+            "RelightSimple",
+            "RemapRange",
+            "RestoreDetail",
+            "SharpenFilterLatent",
+            "ShuffleChannels",
+            "Tonemap",
+            "UnJitterImage",
+            "UnTonemap",
+            "VisualizeLatents"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Filters"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-RAVE": [
+        [
+            "ConditioningDebug",
+            "ImageGridCompose",
+            "ImageGridDecompose",
+            "KSamplerRAVE",
+            "LatentGridCompose",
+            "LatentGridDecompose"
+        ],
+        {
+            "title_aux": "ComfyUI-RAVE"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-StyleGan": [
+        [
+            "BatchAverageStyleGANLatents",
+            "BlendStyleGANLatents",
+            "GenerateStyleGANLatent",
+            "LoadStyleGAN",
+            "StyleGANInversion",
+            "StyleGANLatentFromBatch",
+            "StyleGANSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-StyleGan"
+        }
+    ],
+    "https://github.com/spinagon/ComfyUI-seam-carving": [
+        [
+            "SeamCarving"
+        ],
+        {
+            "title_aux": "ComfyUI-seam-carving"
+        }
+    ],
+    "https://github.com/spinagon/ComfyUI-seamless-tiling": [
+        [
+            "CircularVAEDecode",
+            "MakeCircularVAE",
+            "OffsetImage",
+            "SeamlessTile"
+        ],
+        {
+            "title_aux": "Seamless tiling Node for ComfyUI"
+        }
+    ],
+    "https://github.com/spro/comfyui-mirror": [
+        [
+            "LatentMirror"
+        ],
+        {
+            "title_aux": "Latent Mirror node for ComfyUI"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_UltimateSDUpscale": [
+        [
+            "UltimateSDUpscale",
+            "UltimateSDUpscaleCustomSample",
+            "UltimateSDUpscaleNoUpscale"
+        ],
+        {
+            "title_aux": "UltimateSDUpscale"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_fabric": [
+        [
+            "FABRICPatchModel",
+            "FABRICPatchModelAdv",
+            "KSamplerAdvFABRICAdv",
+            "KSamplerFABRIC",
+            "KSamplerFABRICAdv"
+        ],
+        {
+            "title_aux": "ComfyUI fabric"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_restart_sampling": [
+        [
+            "KRestartSampler",
+            "KRestartSamplerAdv",
+            "KRestartSamplerCustom",
+            "KRestartSamplerSimple",
+            "RestartSampler",
+            "RestartScheduler"
+        ],
+        {
+            "title_aux": "Restart Sampling"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_roop": [
+        [
+            "RoopImproved",
+            "roop"
+        ],
+        {
+            "title_aux": "ComfyUI roop"
+        }
+    ],
+    "https://github.com/stavsap/comfyui-ollama": [
+        [
+            "OllamaGenerate",
+            "OllamaGenerateAdvance",
+            "OllamaLoadContext",
+            "OllamaSaveContext",
+            "OllamaVision"
+        ],
+        {
+            "title_aux": "ComfyUI Ollama"
+        }
+    ],
+    "https://github.com/storyicon/comfyui_musev_evolved": [
+        [
+            "AnimationZoom (comfyui_musev_evolved)",
+            "ImageSelector (comfyui_musev_evolved)",
+            "MuseVImg2Vid V1 (comfyui_musev_evolved)",
+            "MuseVPredictor V1 (comfyui_musev_evolved)"
+        ],
+        {
+            "author": "infguo",
+            "title_aux": "ComfyUI MuseV Evolved"
+        }
+    ],
+    "https://github.com/storyicon/comfyui_segment_anything": [
+        [
+            "GroundingDinoModelLoader (segment anything)",
+            "GroundingDinoSAMSegment (segment anything)",
+            "InvertMask (segment anything)",
+            "IsMaskEmpty",
+            "SAMModelLoader (segment anything)"
+        ],
+        {
+            "title_aux": "segment anything"
+        }
+    ],
+    "https://github.com/strimmlarn/ComfyUI_Strimmlarns_aesthetic_score": [
+        [
+            "AesthetlcScoreSorter",
+            "CalculateAestheticScore",
+            "LoadAesteticModel",
+            "ScoreToNumber"
+        ],
+        {
+            "title_aux": "ComfyUI_Strimmlarns_aesthetic_score"
+        }
+    ],
+    "https://github.com/styler00dollar/ComfyUI-deepcache": [
+        [
+            "DeepCache"
+        ],
+        {
+            "title_aux": "ComfyUI-deepcache"
+        }
+    ],
+    "https://github.com/styler00dollar/ComfyUI-sudo-latent-upscale": [
+        [
+            "SudoLatentUpscale"
+        ],
+        {
+            "title_aux": "ComfyUI-sudo-latent-upscale"
+        }
+    ],
+    "https://github.com/sugarkwork/comfyui_cohere": [
+        [
+            "SimpleCohereNode"
+        ],
+        {
+            "title_aux": "comfyui_cohere"
+        }
+    ],
+    "https://github.com/sugarkwork/comfyui_tag_fillter": [
+        [
+            "TagFilter",
+            "TagMerger",
+            "TagRemover",
+            "TagReplace",
+            "TagSwitcher"
+        ],
+        {
+            "title_aux": "comfyui_tag_filter"
+        }
+    ],
+    "https://github.com/superyoman/comfyui_lumaAPI": [
+        [
+            "LUMA_API_YoC",
+            "LUMA_API_result_YoC"
+        ],
+        {
+            "title_aux": "comfyui_lumaAPI"
+        }
+    ],
+    "https://github.com/syaofox/ComfyUI_FoxTools": [
+        [
+            "FoxBatchImageFromList",
+            "FoxChineseCLIPEncode",
+            "FoxColorCorrect",
+            "FoxColorMatch",
+            "FoxColorTint",
+            "FoxCreateBlurBord",
+            "FoxCreateFaceMask",
+            "FoxDepth2Mask",
+            "FoxFaceAlign",
+            "FoxFaceAlignCacul",
+            "FoxFaceAlignSimple",
+            "FoxFaceAnalysisModels",
+            "FoxFaceBoundingBox",
+            "FoxFaceEmbedDistance",
+            "FoxFaceOcclusionModelLoader",
+            "FoxFaceSegmentation",
+            "FoxFaceShaper",
+            "FoxFaceShaperModels",
+            "FoxFaceWarp",
+            "FoxGenSwapPathText",
+            "FoxGetImageScaleBySize",
+            "FoxGrowMaskWithBlur",
+            "FoxImageAdd",
+            "FoxImageBlendingMode",
+            "FoxImageConcanate",
+            "FoxImageExtractFromBatch",
+            "FoxImageResizeBySpecialSide",
+            "FoxImageRotate",
+            "FoxImageScaleToSDType",
+            "FoxImageTileBatch",
+            "FoxLoadImageList",
+            "FoxLoadImagePlus",
+            "FoxLoraLoaderPlus",
+            "FoxMaskAddMask",
+            "FoxMaskAndMask",
+            "FoxMaskSubMask",
+            "FoxOutlineMask",
+            "FoxPreviewMask",
+            "FoxPrimitiveText",
+            "FoxRegTextFind",
+            "FoxSDXLPromptStyler",
+            "FoxSDXLPromptStylerAdvanced",
+            "FoxSDXLPromptStylerByName",
+            "FoxSaveImagePlus",
+            "FoxSelectFace",
+            "FoxShowText",
+            "FoxTextConcatenate",
+            "FoxTrimBlackBoard",
+            "FoxUltraImageLoader",
+            "Fox_Seed",
+            "FoxcleanGPUUsed"
+        ],
+        {
+            "title_aux": "ComfyUI_FoxTools"
+        }
+    ],
+    "https://github.com/syllebra/bilbox-comfyui": [
+        [
+            "BilboXLut",
+            "BilboXPhotoPrompt",
+            "BilboXVignette"
+        ],
+        {
+            "title_aux": "BilboX's ComfyUI Custom Nodes"
+        }
+    ],
+    "https://github.com/sylym/comfy_vid2vid": [
+        [
+            "CheckpointLoaderSimpleSequence",
+            "DdimInversionSequence",
+            "KSamplerSequence",
+            "LoadImageMaskSequence",
+            "LoadImageSequence",
+            "LoraLoaderSequence",
+            "SetLatentNoiseSequence",
+            "TrainUnetSequence",
+            "VAEEncodeForInpaintSequence"
+        ],
+        {
+            "title_aux": "Vid2vid"
+        }
+    ],
+    "https://github.com/szhublox/ambw_comfyui": [
+        [
+            "Auto Merge Block Weighted",
+            "CLIPMergeSimple",
+            "CheckpointSave",
+            "ModelMergeBlocks",
+            "ModelMergeSimple"
+        ],
+        {
+            "title_aux": "Auto-MBW"
+        }
+    ],
+    "https://github.com/taabata/Comfy_Syrian_Falcon_Nodes/raw/main/SyrianFalconNodes.py": [
+        [
+            "CompositeImage",
+            "KSamplerAlternate",
+            "KSamplerPromptEdit",
+            "KSamplerPromptEditAndAlternate",
+            "LoopBack",
+            "QRGenerate",
+            "WordAsImage"
+        ],
+        {
+            "title_aux": "Syrian Falcon Nodes"
+        }
+    ],
+    "https://github.com/taabata/LCM_Inpaint-Outpaint_Comfy": [
+        [
+            "ComfyNodesToSaveCanvas",
+            "FloatNumber",
+            "FreeU_LCM",
+            "ImageDims",
+            "ImageOutputToComfyNodes",
+            "ImageResize",
+            "ImageShuffle",
+            "ImageSwitch",
+            "LCMGenerate",
+            "LCMGenerate_ReferenceOnly",
+            "LCMGenerate_SDTurbo",
+            "LCMGenerate_img2img",
+            "LCMGenerate_img2img_IPAdapter",
+            "LCMGenerate_img2img_controlnet",
+            "LCMGenerate_inpaintv2",
+            "LCMGenerate_inpaintv3",
+            "LCMLoader",
+            "LCMLoader_RefInpaint",
+            "LCMLoader_ReferenceOnly",
+            "LCMLoader_SDTurbo",
+            "LCMLoader_controlnet",
+            "LCMLoader_controlnet_inpaint",
+            "LCMLoader_img2img",
+            "LCMLoraLoader_inpaint",
+            "LCMLoraLoader_ipadapter",
+            "LCMLora_inpaint",
+            "LCMLora_inpaintV2",
+            "LCMLora_ipadapter",
+            "LCMT2IAdapter",
+            "LCM_IPAdapter",
+            "LCM_IPAdapter_inpaint",
+            "LCM_outpaint_prep",
+            "LoadImageNode_LCM",
+            "Loader_SegmindVega",
+            "OutpaintCanvasTool",
+            "SaveImage_Canvas",
+            "SaveImage_LCM",
+            "SaveImage_Puzzle",
+            "SaveImage_PuzzleV2",
+            "SegmindVega",
+            "SettingsSwitch",
+            "stitch"
+        ],
+        {
+            "title_aux": "LCM_Inpaint-Outpaint_Comfy"
+        }
+    ],
+    "https://github.com/talesofai/comfyui-browser": [
+        [
+            "DifyTextGenerator //Browser",
+            "LoadImageByUrl //Browser",
+            "SelectInputs //Browser",
+            "UploadToRemote //Browser",
+            "XyzPlot //Browser"
+        ],
+        {
+            "title_aux": "ComfyUI Browser"
+        }
+    ],
+    "https://github.com/teward/ComfyUI-Helper-Nodes": [
+        [
+            "HelperNodes_CfgScale",
+            "HelperNodes_CheckpointSelector",
+            "HelperNodes_MultilineStringLiteral",
+            "HelperNodes_Prompt",
+            "HelperNodes_SDXLCommonResolutions",
+            "HelperNodes_SamplerSelector",
+            "HelperNodes_SaveImage",
+            "HelperNodes_SchedulerSelector",
+            "HelperNodes_SeedSelector",
+            "HelperNodes_Steps",
+            "HelperNodes_StringLiteral",
+            "HelperNodes_VAESelector",
+            "HelperNodes_WidthHeight"
+        ],
+        {
+            "title_aux": "ComfyUI-Helper-Nodes"
+        }
+    ],
+    "https://github.com/theUpsider/ComfyUI-Logic": [
+        [
+            "Bool-\ud83d\udd2c",
+            "Compare-\ud83d\udd2c",
+            "DebugPrint-\ud83d\udd2c",
+            "Float-\ud83d\udd2c",
+            "If ANY execute A else B-\ud83d\udd2c",
+            "If ANY return A else B-\ud83d\udd2c",
+            "Int-\ud83d\udd2c",
+            "String-\ud83d\udd2c"
+        ],
+        {
+            "title_aux": "ComfyUI-Logic"
+        }
+    ],
+    "https://github.com/theUpsider/ComfyUI-Styles_CSV_Loader": [
+        [
+            "Load Styles CSV"
+        ],
+        {
+            "title_aux": "Styles CSV Loader Extension for ComfyUI"
+        }
+    ],
+    "https://github.com/thecooltechguy/ComfyUI-MagicAnimate": [
+        [
+            "MagicAnimate",
+            "MagicAnimateModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-MagicAnimate"
+        }
+    ],
+    "https://github.com/thecooltechguy/ComfyUI-Stable-Video-Diffusion": [
+        [
+            "SVDDecoder",
+            "SVDModelLoader",
+            "SVDSampler",
+            "SVDSimpleImg2Vid"
+        ],
+        {
+            "title_aux": "ComfyUI Stable Video Diffusion"
+        }
+    ],
+    "https://github.com/tianguanggliu/Utools": [
+        [
+            "UTools"
+        ],
+        {
+            "title_aux": "comfyui-utools"
+        }
+    ],
+    "https://github.com/tiankuan93/ComfyUI-V-Express": [
+        [
+            "Load_Audio_Path",
+            "Load_Audio_Path_From_Video",
+            "Load_Image_Path",
+            "Load_Kps_Path",
+            "Load_Kps_Path_From_Video",
+            "Load_Video_Path",
+            "VEINTConstant",
+            "VEPreview_Video",
+            "VEStringConstant",
+            "V_Express_Loader",
+            "V_Express_Sampler"
+        ],
+        {
+            "title_aux": "V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation"
+        }
+    ],
+    "https://github.com/tianlang0704/ComfyUI-StableProjectorzBridge": [
+        [
+            "ProjectorzControlnetInput",
+            "ProjectorzControlnetParameter",
+            "ProjectorzInitInput",
+            "ProjectorzOutput",
+            "ProjectorzParameter",
+            "ProjectorzStringToFloat",
+            "ProjectorzStringToInt"
+        ],
+        {
+            "title_aux": "Stable Projectorz Bridge"
+        }
+    ],
+    "https://github.com/time-river/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py": [
+        [
+            "CLIPSeg",
+            "CombineSegMasks"
+        ],
+        {
+            "title_aux": "CLIPSeg"
+        }
+    ],
+    "https://github.com/tmagara/ComfyUI-Prediction-Boost": [
+        [
+            "PredictionBoost"
+        ],
+        {
+            "title_aux": "ComfyUI-Prediction-Boost"
+        }
+    ],
+    "https://github.com/tocubed/ComfyUI-AudioReactor": [
+        [
+            "AudioFrameTransformBeats",
+            "AudioFrameTransformShadertoy",
+            "AudioLoadPath",
+            "Shadertoy"
+        ],
+        {
+            "title_aux": "ComfyUI-AudioReactor"
+        }
+    ],
+    "https://github.com/tooldigital/ComfyUI-Yolo-Cropper": [
+        [
+            "ToolYoloCropper"
+        ],
+        {
+            "title_aux": "Easy automatic (square) image cropper using Yolo"
+        }
+    ],
+    "https://github.com/toxicwind/ComfyUI-TTools": [
+        [
+            "TTools Extract JSON",
+            "TTools SD3 Resolution Solver"
+        ],
+        {
+            "title_aux": "TTools for ComfyUI"
+        }
+    ],
+    "https://github.com/toyxyz/ComfyUI_toyxyz_test_nodes": [
+        [
+            "CaptureWebcam",
+            "Direct Screen Capture",
+            "ImageResize_Padding",
+            "LatentDelay",
+            "LoadWebcamImage",
+            "SaveImagetoPath"
+        ],
+        {
+            "title_aux": "ComfyUI_toyxyz_test_nodes"
+        }
+    ],
+    "https://github.com/traugdor/ComfyUI-quadMoons-nodes": [
+        [
+            "quadmoonCLIPTextEncode",
+            "quadmoonChangeBackground",
+            "quadmoonConvertBoolToString",
+            "quadmoonConvertFloatToString",
+            "quadmoonConvertIntToString",
+            "quadmoonConvertNormalizeHW",
+            "quadmoonConvertNumberToString",
+            "quadmoonINTConditionalOperation",
+            "quadmoonKSampler",
+            "quadmoonKSamplerAdvanced",
+            "quadmoonLoadConfigs",
+            "quadmoonModelLoader",
+            "quadmoonRotationalSampler",
+            "quadmoonSaveNeg",
+            "quadmoonSavePrompt",
+            "quadmoonSmartNeg",
+            "quadmoonSmartPrompt",
+            "quadmoonThebutton"
+        ],
+        {
+            "author": "quadmoon (https://github.com/traugdor)",
+            "description": "These are just some nodes I wanted and couldn't find where anyone else had made them yet.",
+            "nickname": "quadmoon's Nodes",
+            "title": "quadmoon's ComfyUI nodes",
+            "title_aux": "quadmoon's ComfyUI nodes"
+        }
+    ],
+    "https://github.com/tritant/ComfyUI_CreaPrompt": [
+        [
+            "CreaPrompt",
+            "CreaPrompt List",
+            "CreaPrompt_1",
+            "CreaPrompt_2",
+            "CreaPrompt_3",
+            "CreaPrompt_4"
+        ],
+        {
+            "title_aux": "ComfyUI-CreaPrompt"
+        }
+    ],
+    "https://github.com/trojblue/trNodes": [
+        [
+            "trColorCorrection",
+            "trLayering",
+            "trRouter",
+            "trRouterLonger"
+        ],
+        {
+            "title_aux": "trNodes"
+        }
+    ],
+    "https://github.com/trumanwong/ComfyUI-NSFW-Detection": [
+        [
+            "NSFWDetection"
+        ],
+        {
+            "title_aux": "ComfyUI-NSFW-Detection"
+        }
+    ],
+    "https://github.com/tsogzark/ComfyUI-load-image-from-url": [
+        [
+            "LoadImageFromUrlOrPath"
+        ],
+        {
+            "title_aux": "ComfyUI-load-image-from-url"
+        }
+    ],
+    "https://github.com/ttulttul/ComfyUI-Iterative-Mixer": [
+        [
+            "Batch Unsampler",
+            "Iterative Mixing KSampler",
+            "Iterative Mixing KSampler Advanced",
+            "IterativeMixingSampler",
+            "IterativeMixingScheduler",
+            "IterativeMixingSchedulerAdvanced",
+            "Latent Batch Comparison Plot",
+            "Latent Batch Statistics Plot",
+            "MixingMaskGenerator"
+        ],
+        {
+            "title_aux": "ComfyUI Iterative Mixing Nodes"
+        }
+    ],
+    "https://github.com/ttulttul/ComfyUI-Tensor-Operations": [
+        [
+            "Fast Image to Noise",
+            "Image Match Normalize",
+            "Latent Match Normalize"
+        ],
+        {
+            "title_aux": "ComfyUI-Tensor-Operations"
+        }
+    ],
+    "https://github.com/tudal/Hakkun-ComfyUI-nodes/raw/main/hakkun_nodes.py": [
+        [
+            "Any Converter",
+            "Calculate Upscale",
+            "Image Resize To Height",
+            "Image Resize To Width",
+            "Image size to string",
+            "Load Random Image",
+            "Load Text",
+            "Multi Text Merge",
+            "Prompt Parser",
+            "Random Line",
+            "Random Line 4"
+        ],
+        {
+            "title_aux": "Hakkun-ComfyUI-nodes"
+        }
+    ],
+    "https://github.com/tusharbhutt/Endless-Nodes": [
+        [
+            "ESS Aesthetic Scoring",
+            "ESS Combo Parameterizer",
+            "ESS Combo Parameterizer & Prompts",
+            "ESS Eight Input Text Switch",
+            "ESS Float to Integer",
+            "ESS Float to Number",
+            "ESS Float to String",
+            "ESS Float to X",
+            "ESS Image Reward",
+            "ESS Image Saver with JSON",
+            "ESS Integer to Float",
+            "ESS Integer to Number",
+            "ESS Integer to String",
+            "ESS Integer to X",
+            "ESS Number to Float",
+            "ESS Number to Integer",
+            "ESS Number to String",
+            "ESS Number to X",
+            "ESS Parameterizer",
+            "ESS Parameterizer & Prompts",
+            "ESS Six Float Output",
+            "ESS Six Input Text Switch",
+            "ESS Six Integer IO Switch",
+            "ESS Six Integer IO Widget",
+            "ESS String to Float",
+            "ESS String to Integer",
+            "ESS String to Num",
+            "ESS String to X",
+            "\u267e\ufe0f\ud83c\udf0a\u2728 Image Saver with JSON"
+        ],
+        {
+            "author": "BiffMunky",
+            "description": "A small set of nodes I created for various numerical and text inputs.  Features image saver with ability to have JSON saved to separate folder, parameter collection nodes, two aesthetic scoring models, switches for text and numbers, and conversion of string to numeric and vice versa.",
+            "nickname": "\u267e\ufe0f\ud83c\udf0a\u2728",
+            "title": "Endless \ufe0f\ud83c\udf0a\u2728 Nodes",
+            "title_aux": "Endless \ufe0f\ud83c\udf0a\u2728 Nodes"
+        }
+    ],
+    "https://github.com/twri/sdxl_prompt_styler": [
+        [
+            "SDXLPromptStyler",
+            "SDXLPromptStylerAdvanced"
+        ],
+        {
+            "title_aux": "SDXL Prompt Styler"
+        }
+    ],
+    "https://github.com/ty0x2333/ComfyUI-Dev-Utils": [
+        [
+            "TY_ExecutionTime",
+            "TY_UploadAnything",
+            "TY_UrlDownload"
+        ],
+        {
+            "title_aux": "ComfyUI-Dev-Utils"
+        }
+    ],
+    "https://github.com/uarefans/ComfyUI-Fans": [
+        [
+            "Fans Prompt Styler Negative",
+            "Fans Prompt Styler Positive",
+            "Fans Styler",
+            "Fans Text Concatenate"
+        ],
+        {
+            "title_aux": "ComfyUI-Fans"
+        }
+    ],
+    "https://github.com/uetuluk/comfyui-webcam-node": [
+        [
+            "webcam_capture_node"
+        ],
+        {
+            "title_aux": "comfyui-webcam-node"
+        }
+    ],
+    "https://github.com/un-seen/comfyui-tensorops": [
+        [
+            "BackgroundSelect",
+            "ChannelSelector",
+            "DownloadAndLoadFlorence2Model",
+            "DownloadAndLoadSAM2Model",
+            "FalDifferentialDiffusion",
+            "FalDiffusion",
+            "FetchFromRedis",
+            "FetchJsonFromSurreal",
+            "Florence2Run",
+            "Florence2toCoordinates",
+            "ForegroundMask",
+            "MaskImage",
+            "Sam2AutoSegmentation",
+            "Sam2Segmentation",
+            "Sam2VideoSegmentation",
+            "Sam2VideoSegmentationAddPoints",
+            "SaveImageToS3",
+            "SaveJsonToSurreal",
+            "SaveTextToSurreal",
+            "SaveToRedis"
+        ],
+        {
+            "title_aux": "comfyui-tensorop"
+        }
+    ],
+    "https://github.com/un-seen/comfyui_segment_anything_plus": [
+        [
+            "GroundingDinoModelLoader (segment anything plus)",
+            "GroundingDinoSAMSegment (segment anything plus)",
+            "InvertMask (segment anything plus)",
+            "IsMaskEmpty  (segment anything plus)",
+            "SAMModelLoader (segment anything plus)"
+        ],
+        {
+            "title_aux": "ComfyUI Segment Anything"
+        }
+    ],
+    "https://github.com/unwdef/unwdef-nodes-comfyui": [
+        [
+            "RandomTextFromMultiline",
+            "RandomizeLoras",
+            "RandomizeLorasStack",
+            "TextMultilineWithVariables"
+        ],
+        {
+            "title_aux": "unwdef-nodes"
+        }
+    ],
+    "https://github.com/vanche1212/ComfyUI-ZMG-Nodes": [
+        [
+            "VC_Load_Video_Path_Unified_Output",
+            "VC_Load_Video_Upload_Unified_Output",
+            "VC_Video_Combine_Unified_Output",
+            "Waveform2Audio",
+            "\ud83d\ude0bAPI Request Node",
+            "\ud83d\ude0bJSON Parser Node",
+            "\ud83d\ude0bOld Photo Colorization Node",
+            "\ud83d\ude0bOllama Request Node",
+            "\ud83d\ude0bSave Image Unified Output"
+        ],
+        {
+            "title_aux": "ZMG PLUGIN"
+        }
+    ],
+    "https://github.com/vanillacode314/SimpleWildcardsComfyUI": [
+        [
+            "SimpleConcat",
+            "SimpleWildcard"
+        ],
+        {
+            "author": "VanillaCode314",
+            "description": "A simple wildcard node for ComfyUI. Can also be used a style prompt node.",
+            "nickname": "Simple Wildcard",
+            "title": "Simple Wildcard",
+            "title_aux": "Simple Wildcard"
+        }
+    ],
+    "https://github.com/var1ableX/ComfyUI_Accessories": [
+        [
+            "GetMaskDimensions",
+            "GetRandomDimensions",
+            "isMaskEmpty"
+        ],
+        {
+            "title_aux": "ComfyUI_Accessories"
+        }
+    ],
+    "https://github.com/vault-developer/comfyui-image-blender": [
+        [
+            "ImageBlender"
+        ],
+        {
+            "title_aux": "ImageBlender"
+        }
+    ],
+    "https://github.com/veighnsche/comfyui_gr85": [
+        [
+            "GR85_ContainsWord",
+            "GR85_ElementsConcatenator",
+            "GR85_ImageDimensionResizer",
+            "GR85_ImageSizer",
+            "GR85_ImageSizerAll",
+            "GR85_InsertCharacter",
+            "GR85_IntToString",
+            "GR85_JSONFileReader",
+            "GR85_JSONFileSaver",
+            "GR85_LlmEnhancer",
+            "GR85_NextSeed",
+            "GR85_RandomAtmLocOutfit",
+            "GR85_RandomRatio",
+            "GR85_RandomTitleCharacter",
+            "GR85_RandomWildcardTagPicker",
+            "GR85_ShowText",
+            "GR85_StrSafe",
+            "GR85_TagInjector"
+        ],
+        {
+            "title_aux": "comfyui_gr85"
+        }
+    ],
+    "https://github.com/victorchall/comfyui_webcamcapture": [
+        [
+            "WebcamCapture"
+        ],
+        {
+            "title_aux": "Comfyui Webcam capture node"
+        }
+    ],
+    "https://github.com/vienteck/ComfyUI-Chat-GPT-Integration": [
+        [
+            "ChatGptPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-Chat-GPT-Integration"
+        }
+    ],
+    "https://github.com/violet-chen/comfyui-psd2png": [
+        [
+            "Psd2Png"
+        ],
+        {
+            "title_aux": "comfyui-psd2png"
+        }
+    ],
+    "https://github.com/viperyl/ComfyUI-BiRefNet": [
+        [
+            "BiRefNet"
+        ],
+        {
+            "title_aux": "ComfyUI-BiRefNet"
+        }
+    ],
+    "https://github.com/viperyl/ComfyUI-RGT": [
+        [
+            "RGT_Upscale"
+        ],
+        {
+            "title_aux": "ComfyUI-RGT"
+        }
+    ],
+    "https://github.com/vivax3794/ComfyUI-Sub-Nodes": [
+        [
+            "VIV_Default",
+            "VIV_Subgraph",
+            "VIV_Subgraph_Inputs",
+            "VIV_Subgraph_Outputs"
+        ],
+        {
+            "title_aux": "ComfyUI-Sub-Nodes"
+        }
+    ],
+    "https://github.com/vivax3794/ComfyUI-Vivax-Nodes": [
+        [
+            "Any String",
+            "Chunk Up",
+            "Get Chunk",
+            "Inspect",
+            "Join Chunks",
+            "Model From URL"
+        ],
+        {
+            "title_aux": "ComfyUI-Vivax-Nodes"
+        }
+    ],
+    "https://github.com/vsevolod-oparin/comfyui-kandinsky22": [
+        [
+            "comfy-kandinsky22-decoder-loader",
+            "comfy-kandinsky22-hint-combiner",
+            "comfy-kandinsky22-image-encoder",
+            "comfy-kandinsky22-img-latents",
+            "comfy-kandinsky22-latents",
+            "comfy-kandinsky22-movq-decoder",
+            "comfy-kandinsky22-positive-text-encoder",
+            "comfy-kandinsky22-prior-averaging-2",
+            "comfy-kandinsky22-prior-averaging-3",
+            "comfy-kandinsky22-prior-averaging-4",
+            "comfy-kandinsky22-prior-loader",
+            "comfy-kandinsky22-text-encoder",
+            "comfy-kandinsky22-unet-decoder"
+        ],
+        {
+            "title_aux": "Kandinsky 2.2 ComfyUI Plugin"
+        }
+    ],
+    "https://github.com/vxinhao/color2rgb/raw/main/color2rgb.py": [
+        [
+            "color2RGB"
+        ],
+        {
+            "title_aux": "color2rgb"
+        }
+    ],
+    "https://github.com/wTechArtist/ComfyUI-CustomNodes": [
+        [
+            "GPT4 WWL",
+            "IPAdapter FaceID With Bool",
+            "IPAdapter Mad Scientist Weight_Type",
+            "Image Blending Mode Mask",
+            "Load Image With Bool",
+            "Load Lora With Shared"
+        ],
+        {
+            "title_aux": "ComfyUI-CustomNodes"
+        }
+    ],
+    "https://github.com/wallish77/wlsh_nodes": [
+        [
+            "Alternating KSampler (WLSH)",
+            "Build Filename String (WLSH)",
+            "CLIP +/- w/Text Unified (WLSH)",
+            "CLIP Positive-Negative (WLSH)",
+            "CLIP Positive-Negative XL (WLSH)",
+            "CLIP Positive-Negative XL w/Text (WLSH)",
+            "CLIP Positive-Negative w/Text (WLSH)",
+            "Checkpoint Loader w/Name (WLSH)",
+            "Empty Latent by Pixels (WLSH)",
+            "Empty Latent by Ratio (WLSH)",
+            "Empty Latent by Size (WLSH)",
+            "Generate Border Mask (WLSH)",
+            "Grayscale Image (WLSH)",
+            "Image Load with Metadata (WLSH)",
+            "Image Save with Prompt (WLSH)",
+            "Image Save with Prompt File (WLSH)",
+            "Image Save with Prompt/Info (WLSH)",
+            "Image Save with Prompt/Info File (WLSH)",
+            "Image Scale By Factor (WLSH)",
+            "Image Scale by Shortside (WLSH)",
+            "KSamplerAdvanced (WLSH)",
+            "Multiply Integer (WLSH)",
+            "Outpaint to Image (WLSH)",
+            "Prompt Weight (WLSH)",
+            "Quick Resolution Multiply (WLSH)",
+            "Resolutions by Ratio (WLSH)",
+            "SDXL Quick Empty Latent (WLSH)",
+            "SDXL Quick Image Scale (WLSH)",
+            "SDXL Resolutions (WLSH)",
+            "SDXL Steps (WLSH)",
+            "Save Positive Prompt(WLSH)",
+            "Save Prompt (WLSH)",
+            "Save Prompt/Info (WLSH)",
+            "Seed and Int (WLSH)",
+            "Seed to Number (WLSH)",
+            "Simple Pattern Replace (WLSH)",
+            "Simple String Combine (WLSH)",
+            "Time String (WLSH)",
+            "Upscale by Factor with Model (WLSH)",
+            "VAE Encode for Inpaint w/Padding (WLSH)"
+        ],
+        {
+            "title_aux": "wlsh_nodes"
+        }
+    ],
+    "https://github.com/web3nomad/ComfyUI_Invisible_Watermark": [
+        [
+            "InvisibleWatermarkEncode"
+        ],
+        {
+            "title_aux": "ComfyUI Invisible Watermark"
+        }
+    ],
+    "https://github.com/webfiltered/DebugNode-ComfyUI": [
+        [
+            "WTFDebugNode"
+        ],
+        {
+            "title_aux": "WTF? - a debug node for ComfyUI"
+        }
+    ],
+    "https://github.com/whatbirdisthat/cyberdolphin": [
+        [
+            "\ud83d\udc2c Gradio ChatInterface",
+            "\ud83d\udc2c OpenAI Advanced",
+            "\ud83d\udc2c OpenAI Compatible",
+            "\ud83d\udc2c OpenAI DALL\u00b7E",
+            "\ud83d\udc2c OpenAI Simple"
+        ],
+        {
+            "title_aux": "cyberdolphin"
+        }
+    ],
+    "https://github.com/whmc76/ComfyUI-Openpose-Editor-Plus": [
+        [
+            "CDL.OpenPoseEditorPlus"
+        ],
+        {
+            "title_aux": "ComfyUI-Openpose-Editor-Plus"
+        }
+    ],
+    "https://github.com/wmatson/easy-comfy-nodes": [
+        [
+            "EZAssocDictNode",
+            "EZAssocImgNode",
+            "EZAssocStrNode",
+            "EZEmptyDictNode",
+            "EZHttpPostNode",
+            "EZLoadImgBatchFromUrlsNode",
+            "EZLoadImgFromUrlNode",
+            "EZRemoveImgBackground",
+            "EZS3Uploader"
+        ],
+        {
+            "title_aux": "easy-comfy-nodes"
+        }
+    ],
+    "https://github.com/wmpmiles/ComfyUI-GTF-Utilities": [
+        [
+            "BBOX | Change",
+            "BBOX | From Mask",
+            "BBOX | Scale Area",
+            "Dimensions | Align To",
+            "Dimensions | Change",
+            "Dimensions | From GTF",
+            "Dimensions | From Raw",
+            "Dimensions | Scale",
+            "Dimensions | Scale to Megapixels",
+            "Dimensions | To Raw",
+            "GTF | Colorspace - Linear to Log",
+            "GTF | Colorspace - Log to Linear",
+            "GTF | Colorspace - SRGB Gamma to Linear",
+            "GTF | Colorspace - SRGB Linear to Gamma",
+            "GTF | Colorspace - Standard Gamma to Linear",
+            "GTF | Colorspace - Standard Linear to Gamma",
+            "GTF | Convert - Batch Max",
+            "GTF | Convert - Batch Min",
+            "GTF | Convert - Channel Max",
+            "GTF | Convert - Channel Min",
+            "GTF | Convert - Luminance",
+            "GTF | Convert - Max",
+            "GTF | Convert - Min",
+            "GTF | Filter - Binary Threshold",
+            "GTF | Filter - Convolve",
+            "GTF | Filter - Gradient NMS Mask",
+            "GTF | Filter - Hysteresis Threshold",
+            "GTF | Filter - Invert",
+            "GTF | Filter - Morphological",
+            "GTF | Filter - Patch Max",
+            "GTF | Filter - Patch Median",
+            "GTF | Filter - Patch Min",
+            "GTF | Filter - Patch Range Normalize",
+            "GTF | Filter - Quantize",
+            "GTF | Filter - Range Normalize",
+            "GTF | Filter - Sum Normalize",
+            "GTF | From Image",
+            "GTF | From Latent",
+            "GTF | From Mask",
+            "GTF | Helper - Area Window Radius",
+            "GTF | Helper - Derivative of Gaussian Area Radius",
+            "GTF | Helper - Gaussian Area Radius",
+            "GTF | Helper - Mitchell Netravali Radius",
+            "GTF | Helper - Otsu's Method",
+            "GTF | Logic - And",
+            "GTF | Logic - Equal",
+            "GTF | Logic - Greater Than",
+            "GTF | Logic - Greater Than or Equal",
+            "GTF | Logic - Less Than",
+            "GTF | Logic - Less Than or Equal",
+            "GTF | Logic - Not",
+            "GTF | Logic - Or",
+            "GTF | Logic - Xor",
+            "GTF | Math - Absolute",
+            "GTF | Math - Add",
+            "GTF | Math - Cartesian to Polar",
+            "GTF | Math - Divide",
+            "GTF | Math - Lerp",
+            "GTF | Math - Multiply",
+            "GTF | Math - Negative",
+            "GTF | Math - Polar to Cartesian",
+            "GTF | Math - Pow",
+            "GTF | Math - Reciprocal",
+            "GTF | Math - Subtract",
+            "GTF | Resample - 2D",
+            "GTF | Resample - Coords",
+            "GTF | Resample - Separable",
+            "GTF | Source - Kernel X",
+            "GTF | Source - Kernel Y",
+            "GTF | Source - One",
+            "GTF | Source - RGB",
+            "GTF | Source - Value",
+            "GTF | Source - Zero",
+            "GTF | Special - Derivative of Gaussian",
+            "GTF | Special - Gaussian",
+            "GTF | Special - Jinc",
+            "GTF | Special - Sinc",
+            "GTF | To Image",
+            "GTF | To Mask",
+            "GTF | Tonemap - ACES",
+            "GTF | Tonemap - Reinhard",
+            "GTF | Tonemap - Reinhard Extended",
+            "GTF | Tonemap - Reinhard Extended over Luminance",
+            "GTF | Tonemap - Reinhard over Luminance",
+            "GTF | Tonemap - Reinhard-Jodie",
+            "GTF | Tonemap - Reinhard-Jodie Extended",
+            "GTF | Tonemap - Uncharted 2",
+            "GTF | Transform - Batch Concatenate",
+            "GTF | Transform - Channel Concatenate",
+            "GTF | Transform - Connected Components",
+            "GTF | Transform - Crop to BBOX",
+            "GTF | Transform - Crop/Uncrop with Anchor",
+            "GTF | Transform - Flip Horizontal",
+            "GTF | Transform - Flip Vertical",
+            "GTF | Transform - Rotate 180",
+            "GTF | Transform - Rotate CCW",
+            "GTF | Transform - Rotate CW",
+            "GTF | Transform - Transpose",
+            "GTF | Transform - Uncrop from BBOX",
+            "GTF | Trig - Acos",
+            "GTF | Trig - Asin",
+            "GTF | Trig - Atan",
+            "GTF | Trig - Atan2",
+            "GTF | Trig - Cos",
+            "GTF | Trig - Hypot",
+            "GTF | Trig - Sin",
+            "GTF | Trig - Tan",
+            "GTF | Update Latent",
+            "GTF | Window - Area",
+            "GTF | Window - Boxcar",
+            "GTF | Window - Lanczos",
+            "GTF | Window - Mitchell-Netravali",
+            "GTF | Window - Triangle",
+            "Primitive | Boolean",
+            "Primitive | Float",
+            "Primitive | Integer",
+            "Primitive | String",
+            "Primitive | Text"
+        ],
+        {
+            "author": "wmpmiles",
+            "description": "TODO",
+            "nickname": "GTFU",
+            "title": "GTF Utilities",
+            "title_aux": "ComfyUI-GTF-Utilities"
+        }
+    ],
+    "https://github.com/wolfden/ComfyUi_PromptStylers": [
+        [
+            "SDXLPromptStylerAll",
+            "SDXLPromptStylerHorror",
+            "SDXLPromptStylerMisc",
+            "SDXLPromptStylerbyArtist",
+            "SDXLPromptStylerbyCamera",
+            "SDXLPromptStylerbyComposition",
+            "SDXLPromptStylerbyCyberpunkSurrealism",
+            "SDXLPromptStylerbyDepth",
+            "SDXLPromptStylerbyEnvironment",
+            "SDXLPromptStylerbyFantasySetting",
+            "SDXLPromptStylerbyFilter",
+            "SDXLPromptStylerbyFocus",
+            "SDXLPromptStylerbyImpressionism",
+            "SDXLPromptStylerbyLighting",
+            "SDXLPromptStylerbyMileHigh",
+            "SDXLPromptStylerbyMood",
+            "SDXLPromptStylerbyMythicalCreature",
+            "SDXLPromptStylerbyOriginal",
+            "SDXLPromptStylerbyQuantumRealism",
+            "SDXLPromptStylerbySteamPunkRealism",
+            "SDXLPromptStylerbySubject",
+            "SDXLPromptStylerbySurrealism",
+            "SDXLPromptStylerbyTheme",
+            "SDXLPromptStylerbyTimeofDay",
+            "SDXLPromptStylerbyWyvern",
+            "SDXLPromptbyCelticArt",
+            "SDXLPromptbyContemporaryNordicArt",
+            "SDXLPromptbyFashionArt",
+            "SDXLPromptbyGothicRevival",
+            "SDXLPromptbyIrishFolkArt",
+            "SDXLPromptbyRomanticNationalismArt",
+            "SDXLPromptbySportsArt",
+            "SDXLPromptbyStreetArt",
+            "SDXLPromptbyVikingArt",
+            "SDXLPromptbyWildlifeArt"
+        ],
+        {
+            "title_aux": "SDXL Prompt Styler (customized version by wolfden)"
+        }
+    ],
+    "https://github.com/wolfden/ComfyUi_String_Function_Tree": [
+        [
+            "StringFunction"
+        ],
+        {
+            "title_aux": "ComfyUi_String_Function_Tree"
+        }
+    ],
+    "https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler": [
+        [
+            "RungeKuttaSampler"
+        ],
+        {
+            "author": "wootwootwootwoot",
+            "description": "Batched Runge-Kutta Samplers for ComfyUI",
+            "nickname": "ComfyUI-RK-Sampler",
+            "title": "ComfyUI-RK-Sampler",
+            "title_aux": "ComfyUI-RK-Sampler"
+        }
+    ],
+    "https://github.com/wsippel/comfyui_ws/raw/main/sdxl_utility.py": [
+        [
+            "SDXLResolutionPresets"
+        ],
+        {
+            "title_aux": "SDXLResolutionPresets"
+        }
+    ],
+    "https://github.com/wujm424606/ComfyUi-Ollama-YN": [
+        [
+            "OllamaGenerate",
+            "OllamaGenerateAdvance",
+            "OllamaSpecialGenerateAdvance",
+            "OllamaVision"
+        ],
+        {
+            "title_aux": "ComfyUi-Ollama-YN"
+        }
+    ],
+    "https://github.com/wutipong/ComfyUI-TextUtils": [
+        [
+            "Text Utils - Join N-Elements of String List",
+            "Text Utils - Join String List",
+            "Text Utils - Join Strings",
+            "Text Utils - Split String to List"
+        ],
+        {
+            "title_aux": "ComfyUI-TextUtils"
+        }
+    ],
+    "https://github.com/wwwins/ComfyUI-Simple-Aspect-Ratio": [
+        [
+            "SimpleAspectRatio"
+        ],
+        {
+            "title_aux": "ComfyUI-Simple-Aspect-Ratio"
+        }
+    ],
+    "https://github.com/xXAdonesXx/NodeGPT": [
+        [
+            "AppendAgent",
+            "Assistant",
+            "Chat",
+            "ChatGPT",
+            "CombineInput",
+            "Conditioning",
+            "CostumeAgent_1",
+            "CostumeAgent_2",
+            "CostumeMaster_1",
+            "Critic",
+            "DisplayString",
+            "DisplayTextAsImage",
+            "EVAL",
+            "Engineer",
+            "Executor",
+            "GroupChat",
+            "Image_generation_Conditioning",
+            "LM_Studio",
+            "LoadAPIconfig",
+            "LoadTXT",
+            "MemGPT",
+            "Memory_Excel",
+            "Model_1",
+            "Ollama",
+            "Output2String",
+            "Planner",
+            "Scientist",
+            "TextCombine",
+            "TextGeneration",
+            "TextGenerator",
+            "TextInput",
+            "TextOutput",
+            "UserProxy",
+            "llama-cpp",
+            "llava",
+            "oobaboogaOpenAI"
+        ],
+        {
+            "title_aux": "NodeGPT"
+        }
+    ],
+    "https://github.com/xiaoxiaodesha/hd_node": [
+        [
+            "Combine HDMasks",
+            "Cover HDMasks",
+            "HD FaceIndex",
+            "HD GetMaskArea",
+            "HD Image Levels",
+            "HD SmoothEdge",
+            "HD UltimateSDUpscale"
+        ],
+        {
+            "title_aux": "hd-nodes-comfyui"
+        }
+    ],
+    "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime": [
+        [
+            "Auto-MSG-ALL",
+            "Auto-MSG-Discord-Bot",
+            "Auto-MSG-Line-Notify",
+            "Auto-MSG-Telegram-Bot"
+        ],
+        {
+            "title_aux": "ComfyUI-decadetw-auto-messaging-realtime"
+        }
+    ],
+    "https://github.com/xlinx/ComfyUI-decadetw-auto-prompt-llm": [
+        [
+            "Auto-LLM-Text",
+            "Auto-LLM-Text-Vision",
+            "Auto-LLM-Vision"
+        ],
+        {
+            "title_aux": "ComfyUI-decadetw-auto-prompt-llm"
+        }
+    ],
+    "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj": [
+        [
+            "Im-SD-VJ-SPOUT",
+            "Im-SD-VJ-SYPHON"
+        ],
+        {
+            "title_aux": "ComfyUI-decadetw-spout-syphon-im-vj"
+        }
+    ],
+    "https://github.com/xliry/ComfyUI_SendDiscord": [
+        [
+            "SendDiscord"
+        ],
+        {
+            "title_aux": "ComfyUI_SendDiscord"
+        }
+    ],
+    "https://github.com/xuhongming251/ComfyUI-GPEN": [
+        [
+            "FaceEnhancement"
+        ],
+        {
+            "title_aux": "ComfyUI-GPEN"
+        }
+    ],
+    "https://github.com/xuhongming251/ComfyUI-MuseTalkUtils": [
+        [
+            "MuseTalkPostprocess",
+            "MuseTalkPreprocess",
+            "MuseTalkTrain",
+            "MuseTalkTrainPreprocess",
+            "MuseTalkUncropMask"
+        ],
+        {
+            "title_aux": "ComfyUI-MuseTalkUtils"
+        }
+    ],
+    "https://github.com/ycchanau/ComfyUI_Preview_Magnifier": [
+        [
+            "YC.ImageComparerMagnifier",
+            "YC.PreviewImageMagnifier",
+            "YC.XYPreviewImageMagnifier"
+        ],
+        {
+            "title_aux": "ComfyUI Preview Magnifier"
+        }
+    ],
+    "https://github.com/yffyhk/comfyui_auto_danbooru": [
+        [
+            "GetDanbooru",
+            "TagEncode"
+        ],
+        {
+            "title_aux": "comfyui_auto_danbooru"
+        }
+    ],
+    "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux": [
+        [
+            "FalAPIFluxControlNetConfigNode",
+            "FalAPIFluxControlNetUnionConfigNode",
+            "FalAPIFluxLoraConfigNode",
+            "FalAPIFluxNode",
+            "FalAPIFluxNodeWithControlNet"
+        ],
+        {
+            "title_aux": "ComfyUI-Fal-API-Flux"
+        }
+    ],
+    "https://github.com/yiwangsimple/ComfyUI_DW_Chat": [
+        [
+            "DeepSeekChatNode",
+            "DeepSeekTranslator",
+            "ErrorLogNode",
+            "ExecutionTime",
+            "FileBasedChatNode",
+            "Gemini1_5Text",
+            "Gemini1_5Vision",
+            "GeminiFluxPrompt",
+            "Gemma2PromptNode",
+            "GemmaDialogueNode",
+            "GithubLinkNode",
+            "GroqChatNode",
+            "MoonshotMultiChatNode",
+            "MoonshotSingleChatNode",
+            "OllamaImageToText",
+            "OllamaPromptExtractor",
+            "OllamaTextToText",
+            "PaliGemma3bCaptioner",
+            "PromptEngineeringNode",
+            "PromptExtractorNode",
+            "Qwen2VLCaption",
+            "Qwen2VLLocalCaption",
+            "SD3LongCaptionerV2",
+            "SDPromptAgent",
+            "dwimage2"
+        ],
+        {
+            "title_aux": "ComfyUI_DW_Chat"
+        }
+    ],
+    "https://github.com/yolain/ComfyUI-Easy-Use": [
+        [
+            "dynamicThresholdingFull",
+            "easy LLLiteLoader",
+            "easy XYInputs: CFG Scale",
+            "easy XYInputs: Checkpoint",
+            "easy XYInputs: ControlNet",
+            "easy XYInputs: Denoise",
+            "easy XYInputs: Lora",
+            "easy XYInputs: ModelMergeBlocks",
+            "easy XYInputs: NegativeCond",
+            "easy XYInputs: NegativeCondList",
+            "easy XYInputs: PositiveCond",
+            "easy XYInputs: PositiveCondList",
+            "easy XYInputs: PromptSR",
+            "easy XYInputs: Sampler/Scheduler",
+            "easy XYInputs: Seeds++ Batch",
+            "easy XYInputs: Steps",
+            "easy XYPlot",
+            "easy XYPlotAdvanced",
+            "easy a1111Loader",
+            "easy ab",
+            "easy anythingIndexSwitch",
+            "easy anythingInversedSwitch",
+            "easy applyBrushNet",
+            "easy applyFooocusInpaint",
+            "easy applyInpaint",
+            "easy applyPowerPaint",
+            "easy batchAnything",
+            "easy blocker",
+            "easy boolean",
+            "easy cascadeKSampler",
+            "easy cascadeLoader",
+            "easy ckptNames",
+            "easy cleanGpuUsed",
+            "easy clearCacheAll",
+            "easy clearCacheKey",
+            "easy comfyLoader",
+            "easy compare",
+            "easy conditioningIndexSwitch",
+            "easy controlnetLoader",
+            "easy controlnetLoader++",
+            "easy controlnetLoaderADV",
+            "easy controlnetNames",
+            "easy controlnetStack",
+            "easy controlnetStackApply",
+            "easy convertAnything",
+            "easy detailerFix",
+            "easy dynamiCrafterLoader",
+            "easy float",
+            "easy fluxLoader",
+            "easy forLoopEnd",
+            "easy forLoopStart",
+            "easy fullCascadeKSampler",
+            "easy fullLoader",
+            "easy fullkSampler",
+            "easy globalSeed",
+            "easy hiresFix",
+            "easy humanSegmentation",
+            "easy hunyuanDiTLoader",
+            "easy icLightApply",
+            "easy if",
+            "easy ifElse",
+            "easy imageBatchToImageList",
+            "easy imageChooser",
+            "easy imageColorMatch",
+            "easy imageConcat",
+            "easy imageCount",
+            "easy imageCropFromMask",
+            "easy imageDetailTransfer",
+            "easy imageIndexSwitch",
+            "easy imageInsetCrop",
+            "easy imageInterrogator",
+            "easy imageListToImageBatch",
+            "easy imagePixelPerfect",
+            "easy imageRatio",
+            "easy imageRemBg",
+            "easy imageSave",
+            "easy imageSaveWithText",
+            "easy imageScaleDown",
+            "easy imageScaleDownBy",
+            "easy imageScaleDownToSize",
+            "easy imageScaleToNormPixels",
+            "easy imageSize",
+            "easy imageSizeByLongerSide",
+            "easy imageSizeBySide",
+            "easy imageSplitGrid",
+            "easy imageSplitList",
+            "easy imageSplitTiles",
+            "easy imageSwitch",
+            "easy imageToBase64",
+            "easy imageToMask",
+            "easy imageUncropFromBBOX",
+            "easy imagesSplitImage",
+            "easy injectNoiseToLatent",
+            "easy instantIDApply",
+            "easy instantIDApplyADV",
+            "easy int",
+            "easy ipadapterApply",
+            "easy ipadapterApplyADV",
+            "easy ipadapterApplyEmbeds",
+            "easy ipadapterApplyEncoder",
+            "easy ipadapterApplyFaceIDKolors",
+            "easy ipadapterApplyFromParams",
+            "easy ipadapterApplyRegional",
+            "easy ipadapterStyleComposition",
+            "easy isNone",
+            "easy isSDXL",
+            "easy joinImageBatch",
+            "easy kSampler",
+            "easy kSamplerCustom",
+            "easy kSamplerDownscaleUnet",
+            "easy kSamplerInpainting",
+            "easy kSamplerLayerDiffusion",
+            "easy kSamplerSDTurbo",
+            "easy kSamplerTiled",
+            "easy kolorsLoader",
+            "easy latentCompositeMaskedWithCond",
+            "easy latentNoisy",
+            "easy lengthAnything",
+            "easy loadImageBase64",
+            "easy loraStack",
+            "easy loraStackApply",
+            "easy mathFloat",
+            "easy mathInt",
+            "easy mathString",
+            "easy negative",
+            "easy outputToList",
+            "easy pipeBatchIndex",
+            "easy pipeEdit",
+            "easy pipeEditPrompt",
+            "easy pipeIn",
+            "easy pipeOut",
+            "easy pipeToBasicPipe",
+            "easy pixArtLoader",
+            "easy pixels",
+            "easy portraitMaster",
+            "easy poseEditor",
+            "easy positive",
+            "easy preDetailerFix",
+            "easy preMaskDetailerFix",
+            "easy preSampling",
+            "easy preSamplingAdvanced",
+            "easy preSamplingCascade",
+            "easy preSamplingCustom",
+            "easy preSamplingDynamicCFG",
+            "easy preSamplingLayerDiffusion",
+            "easy preSamplingLayerDiffusionADDTL",
+            "easy preSamplingNoiseIn",
+            "easy preSamplingSdTurbo",
+            "easy prompt",
+            "easy promptConcat",
+            "easy promptLine",
+            "easy promptList",
+            "easy promptReplace",
+            "easy pulIDApply",
+            "easy pulIDApplyADV",
+            "easy rangeFloat",
+            "easy rangeInt",
+            "easy removeLocalImage",
+            "easy samLoaderPipe",
+            "easy seed",
+            "easy showAnything",
+            "easy showLoaderSettingsNames",
+            "easy showSpentTime",
+            "easy showTensorShape",
+            "easy sliderControl",
+            "easy stableDiffusion3API",
+            "easy string",
+            "easy styleAlignedBatchAlign",
+            "easy stylesSelector",
+            "easy sv3dLoader",
+            "easy svdLoader",
+            "easy textIndexSwitch",
+            "easy textSwitch",
+            "easy ultralyticsDetectorPipe",
+            "easy unSampler",
+            "easy whileLoopEnd",
+            "easy whileLoopStart",
+            "easy wildcards",
+            "easy xyAny",
+            "easy zero123Loader"
+        ],
+        {
+            "title_aux": "ComfyUI Easy Use"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyImageSubmit": [
+        [
+            "DTSimpleSubmitImage",
+            "DTSubmitImage"
+        ],
+        {
+            "title_aux": "Comfy AI DoubTech.ai Image Sumission Node"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyLoaders": [
+        [
+            "DTCLIPLoader",
+            "DTCLIPVisionLoader",
+            "DTCheckpointLoader",
+            "DTCheckpointLoaderSimple",
+            "DTControlNetLoader",
+            "DTDiffControlNetLoader",
+            "DTDiffusersLoader",
+            "DTGLIGENLoader",
+            "DTLoadImage",
+            "DTLoadImageMask",
+            "DTLoadLatent",
+            "DTLoraLoader",
+            "DTLorasLoader",
+            "DTStyleModelLoader",
+            "DTUpscaleModelLoader",
+            "DTVAELoader",
+            "DTunCLIPCheckpointLoader"
+        ],
+        {
+            "title_aux": "Comfy UI Online Loaders"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyPromptAgent": [
+        [
+            "DTPromptAgent",
+            "DTPromptAgentString"
+        ],
+        {
+            "title_aux": "Comfy UI Prompt Agent"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyQRCodes": [
+        [
+            "QRCode"
+        ],
+        {
+            "title_aux": "Comfy UI QR Codes"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyVariables": [
+        [
+            "DTCLIPTextEncode",
+            "DTSingleLineStringVariable",
+            "DTSingleLineStringVariableNoClip",
+            "FloatVariable",
+            "IntVariable",
+            "StringFormat",
+            "StringFormatSingleLine",
+            "StringVariable"
+        ],
+        {
+            "title_aux": "Variables for Comfy UI"
+        }
+    ],
+    "https://github.com/yolanother/DTAIImageToTextNode": [
+        [
+            "DTAIImageToTextNode",
+            "DTAIImageUrlToTextNode"
+        ],
+        {
+            "title_aux": "Image to Text Node"
+        }
+    ],
+    "https://github.com/youyegit/tdxh_node_comfyui": [
+        [
+            "TdxhBoolNumber",
+            "TdxhClipVison",
+            "TdxhControlNetApply",
+            "TdxhControlNetProcessor",
+            "TdxhFloatInput",
+            "TdxhImageToSize",
+            "TdxhImageToSizeAdvanced",
+            "TdxhImg2ImgLatent",
+            "TdxhIntInput",
+            "TdxhLoraLoader",
+            "TdxhOnOrOff",
+            "TdxhReference",
+            "TdxhStringInput",
+            "TdxhStringInputTranslator"
+        ],
+        {
+            "title_aux": "tdxh_node_comfyui"
+        }
+    ],
+    "https://github.com/yuan199696/add_text_2_img": [
+        [
+            "AddText"
+        ],
+        {
+            "title_aux": "add_text_2_img"
+        }
+    ],
+    "https://github.com/yuan199696/chinese_clip_encode": [
+        [
+            "ChineseCLIPEncode"
+        ],
+        {
+            "title_aux": "chinese_clip_encode"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt": [
+        [
+            "DepthAnythingTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI Depth Anything TensorRT"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt": [
+        [
+            "DwposeTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI Dwpose TensorRT"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-PiperTTS": [
+        [
+            "PiperTTS"
+        ],
+        {
+            "title_aux": "ComfyUI PiperTTS"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Pronodes": [
+        [
+            "LoadImageFromOutputDirectoryNode",
+            "LoadYoutubeVideoNode",
+            "PreviewVHSAudioNode",
+            "SaveAndOverwriteImageNode",
+            "VHSFilenamesToPathNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Pronodes"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt": [
+        [
+            "UpscalerTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI Upscaler TensorRT"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Vsgan": [
+        [
+            "DepthAnythingTrtNode",
+            "TTSCapcutNode",
+            "UpscaleVideoTrtNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Vsgan"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Whisper": [
+        [
+            "Add Subtitles To Background",
+            "Add Subtitles To Frames",
+            "Apply Whisper",
+            "Resize Cropped Subtitles"
+        ],
+        {
+            "title_aux": "ComfyUI Whisper"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt": [
+        [
+            "YoloNasPoseTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI YoloNasPose Tensorrt"
+        }
+    ],
+    "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes": [
+        [
+            "ZwngLoadImagePathOrURL",
+            "ZwngPreviewImageAndMask",
+            "ZwngSimpleGoogleTranslater",
+            "ZwngSimplePhotoshopConnector"
+        ],
+        {
+            "title_aux": "ComfyUI_Zwng_Nodes"
+        }
+    ],
+    "https://github.com/zcfrank1st/Comfyui-Toolbox": [
+        [
+            "PreviewJson",
+            "PreviewVideo",
+            "SaveJson",
+            "TestJsonPreview"
+        ],
+        {
+            "title_aux": "Comfyui-Toolbox"
+        }
+    ],
+    "https://github.com/zcfrank1st/Comfyui-Yolov8": [
+        [
+            "Yolov8Detection",
+            "Yolov8Segmentation"
+        ],
+        {
+            "title_aux": "ComfyUI Yolov8"
+        }
+    ],
+    "https://github.com/zcfrank1st/comfyui_visual_anagrams": [
+        [
+            "VisualAnagramsAnimate",
+            "VisualAnagramsSample"
+        ],
+        {
+            "title_aux": "comfyui_visual_anagram"
+        }
+    ],
+    "https://github.com/zer0TF/cute-comfy": [
+        [
+            "Cute.Placeholder"
+        ],
+        {
+            "title_aux": "Cute Comfy"
+        }
+    ],
+    "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer": [
+        [
+            "FastStyleTransfer",
+            "NeuralStyleTransfer",
+            "TrainFastStyleTransfer"
+        ],
+        {
+            "title_aux": "ComfyUI-Fast-Style-Transfer"
+        }
+    ],
+    "https://github.com/zfkun/ComfyUI_zfkun": [
+        [
+            "ZFLoadImagePath",
+            "ZFPreviewText",
+            "ZFPreviewTextMultiline",
+            "ZFShareScreen",
+            "ZFTextTranslation"
+        ],
+        {
+            "title_aux": "ComfyUI_zfkun"
+        }
+    ],
+    "https://github.com/zhangp365/ComfyUI-utils-nodes": [
+        [
+            "CheckpointLoaderSimpleWithSwitch",
+            "ColorCorrectOfUtils",
+            "ConcatTextOfUtils",
+            "GenderControlOutput",
+            "ImageBatchOneOrMore",
+            "ImageCompositeMaskedWithSwitch",
+            "ImageConcanateOfUtils",
+            "ImageResizeTo8x",
+            "IntAndIntAddOffsetLiteral",
+            "IntMultipleAddLiteral",
+            "LoadImageMaskWithSwitch",
+            "LoadImageMaskWithoutListDir",
+            "LoadImageWithSwitch",
+            "LoadImageWithoutListDir",
+            "MaskAutoSelector",
+            "MaskCoverFourCorners",
+            "MaskFastGrow",
+            "MaskFromFaceModel",
+            "MatchImageRatioToPreset",
+            "ModifyTextGender",
+            "SplitMask",
+            "TextPreview",
+            "UpscaleImageWithModelIfNeed"
+        ],
+        {
+            "title_aux": "zhangp365/ComfyUI-utils-nodes"
+        }
+    ],
+    "https://github.com/zhiselfly/ComfyUI-Alimama-ControlNet-compatible": [
+        [
+            "SD3AlimamaInpaintControlNetApplyAdvanced",
+            "SD3AlimamaInpaintControlNetLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-Alimama-ControlNet-compatible"
+        }
+    ],
+    "https://github.com/zhongpei/ComfyUI-InstructIR": [
+        [
+            "InstructIRProcess",
+            "LoadInstructIRModel"
+        ],
+        {
+            "title_aux": "ComfyUI for InstructIR"
+        }
+    ],
+    "https://github.com/zhuanqianfish/ComfyUI-EasyNode": [
+        [
+            "EasyCaptureNode",
+            "EasyVideoOutputNode",
+            "SendImageWebSocket"
+        ],
+        {
+            "title_aux": "EasyCaptureNode for ComfyUI"
+        }
+    ],
+    "https://github.com/zhulu111/ComfyUI_Bxb": [
+        [
+            "bxbSwitch",
+            "sdBxb",
+            "sdBxb_saveImage",
+            "sdBxb_textInput"
+        ],
+        {
+            "title_aux": "ComfyUI_Bxb"
+        }
+    ],
+    "https://github.com/zohac/ComfyUI_ZC_DrawShape": [
+        [
+            "ZcDrawShape"
+        ],
+        {
+            "author": "Zohac",
+            "description": "nodes for artists, designers and animators.",
+            "nickname": "Zc DrawShape",
+            "title": "Zc DrawShape",
+            "title_aux": "ComfyUI_ZC_DrawShape"
+        }
+    ],
+    "https://github.com/zombieyang/sd-ppp": [
+        [
+            "Get Image From Photoshop Layer",
+            "Image Times Opacity",
+            "Mask Times Opacity",
+            "Send Images To Photoshop"
+        ],
+        {
+            "title_aux": "SD-PPP"
+        }
+    ],
+    "https://raw.githubusercontent.com/throttlekitty/SDXLCustomAspectRatio/main/SDXLAspectRatio.py": [
+        [
+            "SDXLAspectRatio"
+        ],
+        {
+            "title_aux": "SDXLCustomAspectRatio"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/2259715867_alter-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/2259715867_alter-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..bbab8e84a82ec815307f78453309ff5e3d6945f9
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/2259715867_alter-list.json
@@ -0,0 +1,224 @@
+{
+    "items": [
+        {
+            "description": "This extension provides preprocessor nodes for using controlnet.",
+            "id": "https://github.com/Fannovel16/comfyui_controlnet_aux",
+            "tags": "controlnet"
+        },
+        {
+            "description": "This experimental nodes contains a 'Reference Only' node and a 'ModelSamplerTonemapNoiseTest' node corresponding to the 'Dynamic Threshold'.",
+            "id": "https://github.com/comfyanonymous/ComfyUI_experiments",
+            "tags": "Dynamic Thresholding, DT, CFG, controlnet, reference only"
+        },
+        {
+            "description": "To implement the feature of automatically detecting faces and enhancing details, various detection nodes and detailers provided by the Impact Pack can be applied. Similarly to Loopback Scaler, it also provides various custom workflows that can apply Ksampler while gradually scaling up.",
+            "id": "https://github.com/ltdrdata/ComfyUI-Impact-Pack",
+            "tags": "ddetailer, adetailer, ddsd, DD, loopback scaler, prompt, wildcard, dynamic prompt"
+        },
+        {
+            "description": "The Inspire Pack provides the functionality of Lora Block Weight, Variation Seed.",
+            "id": "https://github.com/ltdrdata/ComfyUI-Inspire-Pack",
+            "tags": "lora block weight, effective block analyzer, lbw, variation seed"
+        },
+        {
+            "description": "This extension provides a feature that generates segment masks on an image using a text prompt. When used in conjunction with Impact Pack, it enables applications such as DDSD.",
+            "id": "https://github.com/biegert/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py",
+            "tags": "ddsd"
+        },
+        {
+            "description": "This extension is a less feature-rich and well-maintained alternative to Impact Pack, but it has fewer dependencies and may be easier to install on abnormal configurations. The author recommends trying Impact Pack first.",
+            "id": "https://github.com/BadCafeCode/masquerade-nodes-comfyui",
+            "tags": "ddetailer"
+        },
+        {
+            "description": "By using this extension, prompts like 'blue hair' can be prevented from interfering with other prompts by blocking the attribute 'blue' from being used in prompts other than 'hair'.",
+            "id": "https://github.com/BlenderNeko/ComfyUI_Cutoff",
+            "tags": "cutoff"
+        },
+        {
+            "description": "There are differences in the processing methods of prompts, such as weighting and scheduling, between A1111 and ComfyUI. With this extension, various settings can be used to implement prompt processing methods similar to A1111. As this feature is also integrated into ComfyUI Cutoff, please download the Cutoff extension if you plan to use it in conjunction with Cutoff.",
+            "id": "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb",
+            "tags": "prompt, weight"
+        },
+        {
+            "description": "There are differences in the processing methods of prompts, such as weighting and scheduling, between A1111 and ComfyUI. This extension helps to reproduce the same embedding as A1111.",
+            "id": "https://github.com/shiimizu/ComfyUI_smZNodes",
+            "tags": "prompt, weight"
+        },
+        {
+            "description": "The extension provides an unsampler that reverses the sampling process, allowing for a function similar to img2img alt to be implemented. Furthermore, ComfyUI uses CPU's Random instead of GPU's Random for better reproducibility compared to A1111. This extension provides the ability to use GPU's Random for Latent Noise. However, since GPU's Random may vary depending on the GPU model, reproducibility on different devices cannot be guaranteed.",
+            "id": "https://github.com/BlenderNeko/ComfyUI_Noise",
+            "tags": "img2img alt, random"
+        },
+        {
+            "description": "The extension provides seecoder feature.",
+            "id": "https://github.com/BlenderNeko/ComfyUI_SeeCoder",
+            "tags": "seecoder, prompt-free-diffusion"
+        },
+        {
+            "description": "This extension provides features such as a wildcard function that randomly selects prompts belonging to a category and the ability to directly load lora from prompts.",
+            "id": "https://github.com/lilly1987/ComfyUI_node_Lilly",
+            "tags": "prompt, wildcard"
+        },
+        {
+            "description": "ComfyUI already provides the ability to composite latents by default. However, this extension makes it more convenient to use by visualizing the composite area.",
+            "id": "https://github.com/Davemane42/ComfyUI_Dave_CustomNode",
+            "tags": "latent couple"
+        },
+        {
+            "description": "This tool provides a viewer node that allows for checking multiple outputs in a grid, similar to the X/Y Plot extension.",
+            "id": "https://github.com/LEv145/images-grid-comfy-plugin",
+            "tags": "X/Y Plot"
+        },
+        {
+            "description": "This extension generates clip text by taking an image as input and using the Deepbooru model.",
+            "id": "https://github.com/pythongosssss/ComfyUI-WD14-Tagger",
+            "tags": "deepbooru, clip interrogation"
+        },
+        {
+            "description": "This node takes two models, merges individual blocks together at various ratios, and automatically rates each merge, keeping the ratio with the highest score. ",
+            "id": "https://github.com/szhublox/ambw_comfyui",
+            "tags": "supermerger"
+        },
+        {
+            "description": "ComfyUI nodes for the Ultimate Stable Diffusion Upscale script by Coyote-A. Uses the same script used in the A1111 extension to hopefully replicate images generated using the A1111 webui.",
+            "id": "https://github.com/ssitu/ComfyUI_UltimateSDUpscale",
+            "tags": "upscaler, Ultimate SD Upscale"
+        },
+        {
+            "description": "A1111 provides KSampler that uses GPU-based random noise. This extension offers KSampler utilizing GPU-based random noise.",
+            "id": "https://github.com/dawangraoming/ComfyUI_ksampler_gpu/raw/main/ksampler_gpu.py",
+            "tags": "random, noise"
+        },
+        {
+            "description": "This extension provides nodes with the functionality of dynamic prompts.",
+            "id": "https://github.com/space-nuko/nui-suite",
+            "tags": "prompt, dynamic prompt"
+        },
+        {
+            "description": "This extension provides bunch of nodes including roop",
+            "id": "https://github.com/melMass/comfy_mtb",
+            "tags": "roop"
+        },
+        {
+            "description": "This extension provides nodes for the roop A1111 webui script.",
+            "id": "https://github.com/ssitu/ComfyUI_roop",
+            "tags": "roop"
+        },
+        {
+            "description": "This extension provides the ability to use prompts like \n\n**a [large::0.1] [cat|dog:0.05] [<lora:somelora:0.5:0.6>::0.5] [in a park:in space:0.4]**\n\n",
+            "id": "https://github.com/asagi4/comfyui-prompt-control",
+            "tags": "prompt, prompt editing"
+        },
+        {
+            "description": "This extension is a port of sd-dynamic-prompt to ComfyUI.",
+            "id": "https://github.com/adieyal/comfyui-dynamicprompts",
+            "tags": "prompt, dynamic prompt"
+        },
+        {
+            "description": "A Anime Background Remover node for comfyui, based on this hf space, works same as AGB extention in automatic1111.",
+            "id": "https://github.com/kwaroran/abg-comfyui",
+            "tags": "abg, background remover"
+        },
+        {
+            "description": "This is a ported version of ComfyUI for the sd-webui-roop-nsfw extension.",
+            "id": "https://github.com/Gourieff/comfyui-reactor-node",
+            "tags": "reactor, sd-webui-roop-nsfw"
+        },
+        {
+            "description": "This custom nodes provide a functionality similar to regional prompts, offering couple features at the attention level.",
+            "id": "https://github.com/laksjdjf/cgem156-ComfyUI",
+            "tags": "regional prompt, latent couple, prompt"
+        },
+        {
+            "description": "This custom nodes provide functionality that assists in animation creation, similar to deforum.",
+            "id": "https://github.com/FizzleDorf/ComfyUI_FizzNodes",
+            "tags": "deforum"
+        },
+        {
+            "description": "This custom nodes provide functionality that assists in animation creation, similar to deforum.",
+            "id": "https://github.com/seanlynch/comfyui-optical-flow",
+            "tags": "deforum, vid2vid"
+        },
+        {
+            "description": "Similar to sd-webui-fabric, this custom nodes provide the functionality of [a/FABRIC](https://github.com/sd-fabric/fabric).",
+            "id": "https://github.com/ssitu/ComfyUI_fabric",
+            "tags": "fabric"
+        },
+        {
+            "description": "Similar to text-generation-webui, this custom nodes provide the functionality of [a/exllama](https://github.com/turboderp/exllama).",
+            "id": "https://github.com/Zuellni/ComfyUI-ExLlama",
+            "tags": "ExLlama, prompt, language model"
+        },
+        {
+            "description": "ComfyUI node for generating seamless textures Replicates 'Tiling' option from A1111",
+            "id": "https://github.com/spinagon/ComfyUI-seamless-tiling",
+            "tags": "tiling"
+        },
+        {
+            "description": "This extension is a port of the [a/sd-webui-cd-tuner](https://github.com/hako-mikan/sd-webui-cd-tuner)(a.k.a. CD(color/Detail) Tuner )and  [a/sd-webui-negpip](https://github.com/hako-mikan/sd-webui-negpip)(a.k.a. NegPiP) extensions of A1111 to ComfyUI.",
+            "id": "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI",
+            "tags": "cd-tuner, negpip"
+        },
+        {
+            "description": "This custom node is a port of the Dynamic Thresholding extension from A1111 to make it available for use in ComfyUI.",
+            "id": "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding",
+            "tags": "DT, dynamic thresholding"
+        },
+        {
+            "description": "This extension provides custom nodes developed based on [a/LaMa](https://github.com/advimman/lama) and [a/Inpainting anything](https://github.com/geekyutao/Inpaint-Anything).",
+            "id": "https://github.com/hhhzzyang/Comfyui_Lama",
+            "tags": "lama, inpainting anything"
+        },
+        {
+            "description": "This extension provides custom nodes for [a/LaMa](https://github.com/advimman/lama) functionality.",
+            "id": "https://github.com/mlinmg/ComfyUI-LaMA-Preprocessor",
+            "tags": "lama"
+        },
+        {
+            "description": "This extension provides custom nodes for [a/SD Webui Diffusion Color Grading](https://github.com/Haoming02/sd-webui-diffusion-cg) functionality.",
+            "id": "https://github.com/Haoming02/comfyui-diffusion-cg",
+            "tags": "diffusion-cg"
+        },
+        {
+            "description": "This extension provides custom nodes for [a/sd-webui-cads](https://github.com/v0xie/sd-webui-cads) functionality.",
+            "id": "https://github.com/asagi4/ComfyUI-CADS",
+            "tags": "diffusion-cg"
+        },
+        {
+            "description": "This extension supports both A1111 and ComfyUI simultaneously.",
+            "id": "https://git.mmaker.moe/mmaker/sd-webui-color-enhance",
+            "tags": "color-enhance"
+        },
+        {
+            "description": "This extension provides custom nodes for [a/Mixture of Diffusers](https://github.com/albarji/mixture-of-diffusers) and [a/MultiDiffusion](https://github.com/omerbt/MultiDiffusion)",
+            "id": "https://github.com/shiimizu/ComfyUI-TiledDiffusion",
+            "tags": "multidiffusion"
+        },
+        {
+            "description": "This extension provides some alternative functionalities of the [a/sd-webui-bmab](https://github.com/portu-sim/sd-webui-bmab) extension.",
+            "id": "https://github.com/abyz22/image_control",
+            "tags": "BMAB"
+        },
+        {
+            "description": "This extension provides some alternative functionalities of the [a/stable-diffusion-webui-sonar](https://github.com/Kahsolt/stable-diffusion-webui-sonar) extension.",
+            "id": "https://github.com/blepping/ComfyUI-sonar",
+            "tags": "sonar"
+        },
+        {
+            "description": "a comfyui custom node for [a/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git), you can Voice-Conversion in comfyui now!",
+            "id": "https://github.com/AIFSH/ComfyUI-RVC",
+            "tags": "sonar"
+        },
+        {
+            "description": "a comfyui custom node for [a/sd-webui-bmab](https://github.com/portu-sim/sd-webui-bmab)",
+            "id": "https://github.com/portu-sim/comfyui-bmab",
+            "tags": "bmab"
+        },
+        {
+            "description": "This extension is a port of [a/unprompted](https://github.com/ThereforeGames/unprompted)",
+            "id": "https://github.com/ThereforeGames/ComfyUI-Unprompted",
+            "tags": "unprompted"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/4245046894_model-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/4245046894_model-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..203df4bc27830b89d8e3403fb9b9919f664715c1
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/4245046894_model-list.json
@@ -0,0 +1,4118 @@
+{
+    "models": [
+        {
+            "base": "FLUX.1",
+            "description": "(FLUX.1 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+            "filename": "taef1_decoder.pth",
+            "name": "TAEF1 Decoder",
+            "reference": "https://github.com/madebyollin/taesd",
+            "save_path": "vae_approx",
+            "size": "4.71MB",
+            "type": "TAESD",
+            "url": "https://github.com/madebyollin/taesd/raw/main/taef1_decoder.pth"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "(FLUX.1 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+            "filename": "taef1_encoder.pth",
+            "name": "TAEF1 Encoder",
+            "reference": "https://github.com/madebyollin/taesd",
+            "save_path": "vae_approx",
+            "size": "4.71MB",
+            "type": "TAESD",
+            "url": "https://github.com/madebyollin/taesd/raw/main/taef1_encoder.pth"
+        },
+        {
+            "base": "SD3",
+            "description": "(SD3 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+            "filename": "taesd3_decoder.pth",
+            "name": "TAESD3 Decoder",
+            "reference": "https://github.com/madebyollin/taesd",
+            "save_path": "vae_approx",
+            "size": "4.94MB",
+            "type": "TAESD",
+            "url": "https://github.com/madebyollin/taesd/raw/main/taesd3_decoder.pth"
+        },
+        {
+            "base": "SD3",
+            "description": "(SD3 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+            "filename": "taesd3_encoder.pth",
+            "name": "TAESD3 Encoder",
+            "reference": "https://github.com/madebyollin/taesd",
+            "save_path": "vae_approx",
+            "size": "4.94MB",
+            "type": "TAESD",
+            "url": "https://github.com/madebyollin/taesd/raw/main/taesd3_encoder.pth"
+        },
+        {
+            "base": "SDXL",
+            "description": "(SDXL Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+            "filename": "taesdxl_decoder.pth",
+            "name": "TAESDXL Decoder",
+            "reference": "https://github.com/madebyollin/taesd",
+            "save_path": "vae_approx",
+            "size": "4.91MB",
+            "type": "TAESD",
+            "url": "https://github.com/madebyollin/taesd/raw/main/taesdxl_decoder.pth"
+        },
+        {
+            "base": "SDXL",
+            "description": "(SDXL Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+            "filename": "taesdxl_encoder.pth",
+            "name": "TAESDXL Encoder",
+            "reference": "https://github.com/madebyollin/taesd",
+            "save_path": "vae_approx",
+            "size": "4.91MB",
+            "type": "TAESD",
+            "url": "https://github.com/madebyollin/taesd/raw/main/taesdxl_encoder.pth"
+        },
+        {
+            "base": "SD1.x",
+            "description": "To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+            "filename": "taesd_decoder.pth",
+            "name": "TAESD Decoder",
+            "reference": "https://github.com/madebyollin/taesd",
+            "save_path": "vae_approx",
+            "size": "4.91MB",
+            "type": "TAESD",
+            "url": "https://github.com/madebyollin/taesd/raw/main/taesd_decoder.pth"
+        },
+        {
+            "base": "SD1.x",
+            "description": "To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+            "filename": "taesd_encoder.pth",
+            "name": "TAESD Encoder",
+            "reference": "https://github.com/madebyollin/taesd",
+            "save_path": "vae_approx",
+            "size": "4.91MB",
+            "type": "TAESD",
+            "url": "https://github.com/madebyollin/taesd/raw/main/taesd_encoder.pth"
+        },
+        {
+            "base": "upscale",
+            "description": "RealESRGAN x2 upscaler model",
+            "filename": "RealESRGAN_x2.pth",
+            "name": "RealESRGAN x2",
+            "reference": "https://huggingface.co/ai-forever/Real-ESRGAN",
+            "save_path": "default",
+            "size": "67.1MB",
+            "type": "upscale",
+            "url": "https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x2.pth"
+        },
+        {
+            "base": "upscale",
+            "description": "RealESRGAN x4 upscaler model",
+            "filename": "RealESRGAN_x4.pth",
+            "name": "RealESRGAN x4",
+            "reference": "https://huggingface.co/ai-forever/Real-ESRGAN",
+            "save_path": "default",
+            "size": "67.0MB",
+            "type": "upscale",
+            "url": "https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x4.pth"
+        },
+        {
+            "base": "upscale",
+            "description": "ESRGAN x4 upscaler model",
+            "filename": "ESRGAN_4x.pth",
+            "name": "ESRGAN x4",
+            "reference": "https://huggingface.co/Afizi/ESRGAN_4x.pth",
+            "save_path": "default",
+            "size": "66.9MB",
+            "type": "upscale",
+            "url": "https://huggingface.co/Afizi/ESRGAN_4x.pth/resolve/main/ESRGAN_4x.pth"
+        },
+        {
+            "base": "upscale",
+            "description": "4x_foolhardy_Remacri upscaler model",
+            "filename": "4x_foolhardy_Remacri.pth",
+            "name": "4x_foolhardy_Remacri",
+            "reference": "https://huggingface.co/FacehugmanIII/4x_foolhardy_Remacri",
+            "save_path": "default",
+            "size": "67.0MB",
+            "type": "upscale",
+            "url": "https://huggingface.co/FacehugmanIII/4x_foolhardy_Remacri/resolve/main/4x_foolhardy_Remacri.pth"
+        },
+        {
+            "base": "upscale",
+            "description": "4x-AnimeSharp upscaler model",
+            "filename": "4x-AnimeSharp.pth",
+            "name": "4x-AnimeSharp",
+            "reference": "https://huggingface.co/Kim2091/AnimeSharp/",
+            "save_path": "default",
+            "size": "67.0MB",
+            "type": "upscale",
+            "url": "https://huggingface.co/Kim2091/AnimeSharp/resolve/main/4x-AnimeSharp.pth"
+        },
+        {
+            "base": "upscale",
+            "description": "4x-UltraSharp upscaler model",
+            "filename": "4x-UltraSharp.pth",
+            "name": "4x-UltraSharp",
+            "reference": "https://huggingface.co/Kim2091/UltraSharp/",
+            "save_path": "default",
+            "size": "67.0MB",
+            "type": "upscale",
+            "url": "https://huggingface.co/Kim2091/UltraSharp/resolve/main/4x-UltraSharp.pth"
+        },
+        {
+            "base": "upscale",
+            "description": "4x_NMKD-Siax_200k upscaler model",
+            "filename": "4x_NMKD-Siax_200k.pth",
+            "name": "4x_NMKD-Siax_200k",
+            "reference": "https://huggingface.co/gemasai/4x_NMKD-Siax_200k",
+            "save_path": "default",
+            "size": "67.0MB",
+            "type": "upscale",
+            "url": "https://huggingface.co/gemasai/4x_NMKD-Siax_200k/resolve/main/4x_NMKD-Siax_200k.pth"
+        },
+        {
+            "base": "upscale",
+            "description": "8x_NMKD-Superscale_150000_G upscaler model",
+            "filename": "8x_NMKD-Superscale_150000_G.pth",
+            "name": "8x_NMKD-Superscale_150000_G",
+            "reference": "https://huggingface.co/uwg/upscaler",
+            "save_path": "default",
+            "size": "67.1MB",
+            "type": "upscale",
+            "url": "https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/8x_NMKD-Superscale_150000_G.pth"
+        },
+        {
+            "base": "upscale",
+            "description": "8x_NMKD-Faces_160000_G upscaler model",
+            "filename": "8x_NMKD-Faces_160000_G.pth",
+            "name": "8x_NMKD-Faces_160000_G",
+            "reference": "https://huggingface.co/gemasai/8x_NMKD-Faces_160000_G/tree/main",
+            "save_path": "default",
+            "size": "67.2MB",
+            "type": "upscale",
+            "url": "https://huggingface.co/gemasai/8x_NMKD-Faces_160000_G/resolve/main/8x_NMKD-Faces_160000_G.pth"
+        },
+        {
+            "base": "upscale",
+            "description": "LDSR upscale model. Through the [a/ComfyUI-Flowty-LDSR](https://github.com/flowtyone/ComfyUI-Flowty-LDSR) extension, the upscale model can be utilized.",
+            "filename": "last.ckpt",
+            "name": "LDSR(Latent Diffusion Super Resolution)",
+            "reference": "https://github.com/CompVis/latent-diffusion",
+            "save_path": "upscale_models/ldsr",
+            "size": "2.04GB",
+            "type": "upscale",
+            "url": "https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1"
+        },
+        {
+            "base": "upscale",
+            "description": "This upscaling model is a latent text-guided diffusion model and should be used with SD_4XUpscale_Conditioning and KSampler.",
+            "filename": "x4-upscaler-ema.safetensors",
+            "name": "stabilityai/stable-diffusion-x4-upscaler",
+            "reference": "https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler",
+            "save_path": "checkpoints/upscale",
+            "size": "3.53GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler/resolve/main/x4-upscaler-ema.safetensors"
+        },
+        {
+            "base": "inswapper",
+            "description": "Checkpoint of the insightface swapper model\n(used by ComfyUI-FaceSwap, comfyui-reactor-node, CharacterFaceSwap,\nComfyUI roop and comfy_mtb)",
+            "filename": "inswapper_128_fp16.onnx",
+            "name": "Inswapper-fp16 (face swap)",
+            "reference": "https://github.com/facefusion/facefusion-assets",
+            "save_path": "insightface",
+            "size": "277.7MB",
+            "type": "insightface",
+            "url": "https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128_fp16.onnx"
+        },
+        {
+            "base": "inswapper",
+            "description": "Checkpoint of the insightface swapper model\n(used by ComfyUI-FaceSwap, comfyui-reactor-node, CharacterFaceSwap,\nComfyUI roop and comfy_mtb)",
+            "filename": "inswapper_128.onnx",
+            "name": "Inswapper (face swap)",
+            "reference": "https://github.com/facefusion/facefusion-assets",
+            "save_path": "insightface",
+            "size": "555.3MB",
+            "type": "insightface",
+            "url": "https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx"
+        },
+        {
+            "base": "deepbump",
+            "description": "Checkpoint of the deepbump model to generate height and normal maps textures from an image (requires comfy_mtb)",
+            "filename": "deepbump256.onnx",
+            "name": "Deepbump",
+            "reference": "https://github.com/HugoTini/DeepBump",
+            "save_path": "deepbump",
+            "size": "26.7MB",
+            "type": "deepbump",
+            "url": "https://github.com/HugoTini/DeepBump/raw/master/deepbump256.onnx"
+        },
+        {
+            "base": "face_restore",
+            "description": "Face restoration",
+            "filename": "GFPGANv1.3.pth",
+            "name": "GFPGAN 1.3",
+            "reference": "https://github.com/TencentARC/GFPGAN",
+            "save_path": "face_restore",
+            "size": "348.6MB",
+            "type": "face_restore",
+            "url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth"
+        },
+        {
+            "base": "face_restore",
+            "description": "Face restoration",
+            "filename": "GFPGANv1.4.pth",
+            "name": "GFPGAN 1.4",
+            "reference": "https://github.com/TencentARC/GFPGAN",
+            "save_path": "face_restore",
+            "size": "348.6MB",
+            "type": "face_restore",
+            "url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth"
+        },
+        {
+            "base": "face_restore",
+            "description": "Face restoration",
+            "filename": "RestoreFormer.pth",
+            "name": "RestoreFormer",
+            "reference": "https://github.com/TencentARC/GFPGAN",
+            "save_path": "face_restore",
+            "size": "290.8MB",
+            "type": "face_restore",
+            "url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/RestoreFormer.pth"
+        },
+        {
+            "base": "SVD",
+            "description": "Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.\nNOTE: 14 frames @ 576x1024",
+            "filename": "svd.safetensors",
+            "name": "Stable Video Diffusion Image-to-Video",
+            "reference": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid",
+            "save_path": "checkpoints/SVD",
+            "size": "9.56GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid/resolve/main/svd.safetensors"
+        },
+        {
+            "base": "zero123",
+            "description": "Stable Zero123 is a model for view-conditioned image generation based on [a/Zero123](https://github.com/cvlab-columbia/zero123).",
+            "filename": "stable_zero123.ckpt",
+            "name": "stabilityai/Stable Zero123",
+            "reference": "https://huggingface.co/stabilityai/stable-zero123",
+            "save_path": "checkpoints/zero123",
+            "size": "8.58GB",
+            "type": "zero123",
+            "url": "https://huggingface.co/stabilityai/stable-zero123/resolve/main/stable_zero123.ckpt"
+        },
+        {
+            "base": "SVD",
+            "description": "Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.\nNOTE: 25 frames @ 576x1024 ",
+            "filename": "svd_xt.safetensors",
+            "name": "Stable Video Diffusion Image-to-Video (XT)",
+            "reference": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt",
+            "save_path": "checkpoints/SVD",
+            "size": "9.56GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt/resolve/main/svd_xt.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "If you use this embedding with negatives, you can solve the issue of damaging your hands.",
+            "filename": "negative_hand-neg.pt",
+            "name": "negative_hand Negative Embedding",
+            "reference": "https://civitai.com/models/56519/negativehand-negative-embedding",
+            "save_path": "default",
+            "size": "25KB",
+            "type": "embeddings",
+            "url": "https://civitai.com/api/download/models/60938"
+        },
+        {
+            "base": "SD1.5",
+            "description": "The idea behind this embedding was to somehow train the negative prompt as an embedding, thus unifying the basis of the negative prompt into one word or embedding.",
+            "filename": "bad_prompt_version2-neg.pt",
+            "name": "bad_prompt Negative Embedding",
+            "reference": "https://civitai.com/models/55700/badprompt-negative-embedding",
+            "save_path": "default",
+            "size": "25KB",
+            "type": "embeddings",
+            "url": "https://civitai.com/api/download/models/60095"
+        },
+        {
+            "base": "SD1.5",
+            "description": "These embedding learn what disgusting compositions and color patterns are, including faulty human anatomy, offensive color schemes, upside-down spatial structures, and more. Placing it in the negative can go a long way to avoiding these things.",
+            "filename": "ng_deepnegative_v1_75t.pt",
+            "name": "Deep Negative V1.75",
+            "reference": "https://civitai.com/models/4629/deep-negative-v1x",
+            "save_path": "default",
+            "size": "226KB",
+            "type": "embeddings",
+            "url": "https://civitai.com/api/download/models/5637"
+        },
+        {
+            "base": "SD1.5",
+            "description": "This embedding should be used in your NEGATIVE prompt. Adjust the strength as desired (seems to scale well without any distortions), the strength required may vary based on positive and negative prompts.",
+            "filename": "easynegative.safetensors",
+            "name": "EasyNegative",
+            "reference": "https://civitai.com/models/7808/easynegative",
+            "save_path": "default",
+            "size": "25KB",
+            "type": "embeddings",
+            "url": "https://civitai.com/api/download/models/9208"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade stage_b checkpoints",
+            "filename": "stable_cascade_stage_b.safetensors",
+            "name": "stabilityai/comfyui_checkpoints/stable_cascade_stage_b.safetensors",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "checkpoints/Stable-Cascade",
+            "size": "4.55GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/comfyui_checkpoints/stable_cascade_stage_b.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade stage_c checkpoints",
+            "filename": "stable_cascade_stage_c.safetensors",
+            "name": "stabilityai/comfyui_checkpoints/stable_cascade_stage_c.safetensors",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "checkpoints/Stable-Cascade",
+            "size": "9.22GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/comfyui_checkpoints/stable_cascade_stage_c.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: stage_a",
+            "filename": "stage_a.safetensors",
+            "name": "stabilityai/Stable Cascade: stage_a.safetensors (VAE)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "vae/Stable-Cascade",
+            "size": "73.7MB",
+            "type": "VAE",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_a.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: effnet_encoder.\nVAE encoder for stage_c latent.",
+            "filename": "effnet_encoder.safetensors",
+            "name": "stabilityai/Stable Cascade: effnet_encoder.safetensors (VAE)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "vae/Stable-Cascade",
+            "size": "81.5MB",
+            "type": "VAE",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/effnet_encoder.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: stage_b",
+            "filename": "stage_b.safetensors",
+            "name": "stabilityai/Stable Cascade: stage_b.safetensors (UNET)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "diffusion_models/Stable-Cascade",
+            "size": "6.25GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: stage_b/bf16",
+            "filename": "stage_b_bf16.safetensors",
+            "name": "stabilityai/Stable Cascade: stage_b_bf16.safetensors (UNET)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "diffusion_models/Stable-Cascade",
+            "size": "3.13GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_bf16.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: stage_b/lite",
+            "filename": "stage_b_lite.safetensors",
+            "name": "stabilityai/Stable Cascade: stage_b_lite.safetensors (UNET)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "diffusion_models/Stable-Cascade",
+            "size": "2.80GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_lite.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: stage_b/bf16,lite",
+            "filename": "stage_b_lite_bf16.safetensors",
+            "name": "stabilityai/Stable Cascade: stage_b_lite.safetensors (UNET)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "diffusion_models/Stable-Cascade",
+            "size": "1.40GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_lite_bf16.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: stage_c",
+            "filename": "stage_c.safetensors",
+            "name": "stabilityai/Stable Cascade: stage_c.safetensors (UNET)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "diffusion_models/Stable-Cascade",
+            "size": "14.4GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: stage_c/bf16",
+            "filename": "stage_c_bf16.safetensors",
+            "name": "stabilityai/Stable Cascade: stage_c_bf16.safetensors (UNET)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "diffusion_models/Stable-Cascade",
+            "size": "7.18GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c_bf16.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: stage_c/lite",
+            "filename": "stage_c_lite.safetensors",
+            "name": "stabilityai/Stable Cascade: stage_c_lite.safetensors (UNET)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "diffusion_models/Stable-Cascade",
+            "size": "4.12GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c_lite.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: stage_c/bf16,lite",
+            "filename": "stage_c_lite_bf16.safetensors",
+            "name": "stabilityai/Stable Cascade: stage_c_lite.safetensors (UNET)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "diffusion_models/Stable-Cascade",
+            "size": "2.06GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c_lite_bf16.safetensors"
+        },
+        {
+            "base": "Stable Cascade",
+            "description": "Stable Cascade: text_encoder",
+            "filename": "model.safetensors",
+            "name": "stabilityai/Stable Cascade: text_encoder (CLIP)",
+            "reference": "https://huggingface.co/stabilityai/stable-cascade",
+            "save_path": "clip/Stable-Cascade",
+            "size": "1.39GB",
+            "type": "clip",
+            "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/text_encoder/model.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "SDXL-Turbo 1.0 fp16",
+            "filename": "sd_xl_turbo_1.0_fp16.safetensors",
+            "name": "SDXL-Turbo 1.0 (fp16)",
+            "reference": "https://huggingface.co/stabilityai/sdxl-turbo",
+            "save_path": "checkpoints/SDXL-TURBO",
+            "size": "6.94GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/sdxl-turbo/resolve/main/sd_xl_turbo_1.0_fp16.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "SDXL-Turbo 1.0",
+            "filename": "sd_xl_turbo_1.0.safetensors",
+            "name": "SDXL-Turbo 1.0",
+            "reference": "https://huggingface.co/stabilityai/sdxl-turbo",
+            "save_path": "checkpoints/SDXL-TURBO",
+            "size": "13.9GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/sdxl-turbo/resolve/main/sd_xl_turbo_1.0.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Stable Diffusion XL base model (VAE 0.9)",
+            "filename": "sd_xl_base_1.0_0.9vae.safetensors",
+            "name": "sd_xl_base_1.0_0.9vae.safetensors",
+            "reference": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0",
+            "save_path": "default",
+            "size": "6.94GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0_0.9vae.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Stable Diffusion XL base model",
+            "filename": "sd_xl_base_1.0.safetensors",
+            "name": "sd_xl_base_1.0.safetensors",
+            "reference": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0",
+            "save_path": "default",
+            "size": "6.94GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Stable Diffusion XL refiner model (VAE 0.9)",
+            "filename": "sd_xl_refiner_1.0_0.9vae.safetensors",
+            "name": "sd_xl_refiner_1.0_0.9vae.safetensors",
+            "reference": "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0",
+            "save_path": "default",
+            "size": "6.08GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0_0.9vae.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Stable Diffusion XL refiner model",
+            "filename": "sd_xl_refiner_1.0.safetensors",
+            "name": "stable-diffusion-xl-refiner-1.0",
+            "reference": "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0",
+            "save_path": "default",
+            "size": "6.08GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Stable Diffusion XL inpainting model 0.1. You need UNETLoader instead of CheckpointLoader.",
+            "filename": "diffusion_pytorch_model.fp16.safetensors",
+            "name": "diffusers/stable-diffusion-xl-1.0-inpainting-0.1 (diffusion_models/fp16)",
+            "reference": "https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
+            "save_path": "diffusion_models/xl-inpaint-0.1",
+            "size": "5.14GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1/resolve/main/unet/diffusion_pytorch_model.fp16.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Stable Diffusion XL inpainting model 0.1. You need UNETLoader instead of CheckpointLoader.",
+            "filename": "diffusion_pytorch_model.safetensors",
+            "name": "diffusers/stable-diffusion-xl-1.0-inpainting-0.1 (UNET)",
+            "reference": "https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
+            "save_path": "diffusion_models/xl-inpaint-0.1",
+            "size": "10.3GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1/resolve/main/unet/diffusion_pytorch_model.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Stable Diffusion XL offset LoRA",
+            "filename": "sd_xl_offset_example-lora_1.0.safetensors",
+            "name": "sd_xl_offset_example-lora_1.0.safetensors",
+            "reference": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0",
+            "save_path": "default",
+            "size": "49.6MB",
+            "type": "lora",
+            "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "SDXL Lightning LoRA (2steps)",
+            "filename": "sdxl_lightning_2step_lora.safetensors",
+            "name": "SDXL Lightning LoRA (2steps)",
+            "reference": "https://huggingface.co/ByteDance/SDXL-Lightning",
+            "save_path": "loras/SDXL-Lightning",
+            "size": "393.9MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_2step_lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "SDXL Lightning LoRA (4steps)",
+            "filename": "sdxl_lightning_4step_lora.safetensors",
+            "name": "SDXL Lightning LoRA (4steps)",
+            "reference": "https://huggingface.co/ByteDance/SDXL-Lightning",
+            "save_path": "loras/SDXL-Lightning",
+            "size": "393.9MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_4step_lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "SDXL Lightning LoRA (8steps)",
+            "filename": "sdxl_lightning_8step_lora.safetensors",
+            "name": "SDXL Lightning LoRA (8steps)",
+            "reference": "https://huggingface.co/ByteDance/SDXL-Lightning",
+            "save_path": "loras/SDXL-Lightning",
+            "size": "393.9MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_8step_lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "DMD2 LoRA (4steps)",
+            "filename": "dmd2_sdxl_4step_lora.safetensors",
+            "name": "DMD2 LoRA (4steps)",
+            "reference": "https://huggingface.co/tianweiy/DMD2",
+            "save_path": "loras/DMD2",
+            "size": "787MB",
+            "type": "lora",
+            "url": "https://huggingface.co/tianweiy/DMD2/resolve/main/dmd2_sdxl_4step_lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "DMD2 LoRA (4steps/fp16)",
+            "filename": "dmd2_sdxl_4step_lora_fp16.safetensors",
+            "name": "DMD2 LoRA (4steps/fp16)",
+            "reference": "https://huggingface.co/tianweiy/DMD2",
+            "save_path": "loras/DMD2",
+            "size": "394MB",
+            "type": "lora",
+            "url": "https://huggingface.co/tianweiy/DMD2/resolve/main/dmd2_sdxl_4step_lora_fp16.safetensors"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "Hyper-SD LoRA (8steps) - FLUX.1 [Dev]",
+            "filename": "Hyper-FLUX.1-dev-8steps-lora.safetensors",
+            "name": "Hyper-SD LoRA (8steps) - FLUX.1 [Dev]",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/FLUX.1",
+            "size": "1.39GB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-FLUX.1-dev-8steps-lora.safetensors"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "Hyper-SD LoRA (16steps) - FLUX.1 [Dev]",
+            "filename": "Hyper-FLUX.1-dev-16steps-lora.safetensors",
+            "name": "Hyper-SD LoRA (16steps) - FLUX.1 [Dev]",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/FLUX.1",
+            "size": "1.39GB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-FLUX.1-dev-16steps-lora.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Hyper-SD LoRA (1step) - SD1.5",
+            "filename": "Hyper-SD15-1step-lora.safetensors",
+            "name": "Hyper-SD LoRA (1step) - SD1.5",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SD15",
+            "size": "269MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-1step-lora.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Hyper-SD LoRA (2steps) - SD1.5",
+            "filename": "Hyper-SD15-2steps-lora.safetensors",
+            "name": "Hyper-SD LoRA (2steps) - SD1.5",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SD15",
+            "size": "269MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-2steps-lora.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Hyper-SD LoRA (4steps)",
+            "filename": "Hyper-SD15-4steps-lora.safetensors",
+            "name": "Hyper-SD LoRA (4steps) - SD1.5",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SD15",
+            "size": "269MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-4steps-lora.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Hyper-SD LoRA (8steps)",
+            "filename": "Hyper-SD15-8steps-lora.safetensors",
+            "name": "Hyper-SD LoRA (8steps) - SD1.5",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SD15",
+            "size": "269MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-8steps-lora.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Hyper-SD CFG LoRA (8steps)",
+            "filename": "Hyper-SD15-8steps-CFG-lora.safetensors",
+            "name": "Hyper-SD CFG LoRA (8steps) - SD1.5",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SD15",
+            "size": "269MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-8steps-CFG-lora.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Hyper-SD CFG LoRA (12steps)",
+            "filename": "Hyper-SD15-12steps-CFG-lora.safetensors",
+            "name": "Hyper-SD CFG LoRA (12steps) - SD1.5",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SD15",
+            "size": "269MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-12steps-CFG-lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Hyper-SD LoRA (1step) - SDXL",
+            "filename": "Hyper-SDXL-1step-lora.safetensors",
+            "name": "Hyper-SD LoRA (1step) - SDXL",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SDXL",
+            "size": "787MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-1step-lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Hyper-SD LoRA (2steps) - SDXL",
+            "filename": "Hyper-SDXL-2steps-lora.safetensors",
+            "name": "Hyper-SD LoRA (2steps) - SDXL",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SDXL",
+            "size": "787MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-2steps-lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Hyper-SD LoRA (4steps) - SDXL",
+            "filename": "Hyper-SD15-4steps-lora.safetensors",
+            "name": "Hyper-SD LoRA (4steps) - SDXL",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SDXL",
+            "size": "787MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-4steps-lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Hyper-SD LoRA (8steps) - SDXL",
+            "filename": "Hyper-SDXL-8steps-lora.safetensors",
+            "name": "Hyper-SD LoRA (8steps) - SDXL",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SDXL",
+            "size": "787MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-8steps-lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Hyper-SD CFG LoRA (8steps) - SDXL",
+            "filename": "Hyper-SDXL-8steps-CFG-lora.safetensors",
+            "name": "Hyper-SD CFG LoRA (8steps) - SDXL",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SDXL",
+            "size": "787MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-8steps-CFG-lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Hyper-SD CFG LoRA (12steps) - SDXL",
+            "filename": "Hyper-SDXL-12steps-CFG-lora.safetensors",
+            "name": "Hyper-SD CFG LoRA (12steps) - SDXL",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SDXL",
+            "size": "787MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-12steps-CFG-lora.safetensors"
+        },
+        {
+            "base": "SD3",
+            "description": "Hyper-SD CFG LoRA (4steps) - SD3",
+            "filename": "Hyper-SD3-4steps-CFG-lora.safetensors",
+            "name": "Hyper-SD CFG LoRA (4steps) - SD3",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SD3",
+            "size": "472MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD3-4steps-CFG-lora.safetensors"
+        },
+        {
+            "base": "SD3",
+            "description": "Hyper-SD CFG LoRA (8steps) - SD3",
+            "filename": "Hyper-SD3-8steps-CFG-lora.safetensors",
+            "name": "Hyper-SD CFG LoRA (8steps) - SD3",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SD3",
+            "size": "472MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD3-8steps-CFG-lora.safetensors"
+        },
+        {
+            "base": "SD3",
+            "description": "Hyper-SD CFG LoRA (16steps) - SD3",
+            "filename": "Hyper-SD3-16steps-CFG-lora.safetensors",
+            "name": "Hyper-SD CFG LoRA (16steps) - SD3",
+            "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+            "save_path": "loras/HyperSD/SD3",
+            "size": "472MB",
+            "type": "lora",
+            "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD3-16steps-CFG-lora.safetensors"
+        },
+        {
+            "base": "t5-base",
+            "description": "T5 Base: Text-To-Text Transfer Transformer. This model can be loaded via CLIPLoader for Stable Audio workflow.",
+            "filename": "model.safetensors",
+            "name": "google-t5/t5-base",
+            "reference": "https://huggingface.co/google-t5/t5-base",
+            "save_path": "clip/t5-base",
+            "size": "892MB",
+            "type": "clip",
+            "url": "https://huggingface.co/google-t5/t5-base/resolve/main/model.safetensors"
+        },
+        {
+            "base": "t5",
+            "description": "The encoder part of https://huggingface.co/google/t5-v1_1-xxl, used with SD3 and Flux1",
+            "filename": "google_t5-v1_1-xxl_encoderonly-fp16.safetensors",
+            "name": "google-t5/t5-v1_1-xxl_encoderonly-fp16",
+            "reference": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly",
+            "save_path": "clip/t5",
+            "size": "10.1GB",
+            "type": "clip",
+            "url": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly/resolve/main/pytorch_model.safetensors"
+        },
+        {
+            "base": "t5",
+            "description": "The encoder part of https://huggingface.co/google/t5-v1_1-xxl, used with SD3 and Flux1",
+            "filename": "google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors",
+            "name": "google-t5/t5-v1_1-xxl_encoderonly-fp8_e4m3fn",
+            "reference": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly",
+            "save_path": "clip/t5",
+            "size": "4.89GB",
+            "type": "clip",
+            "url": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly/resolve/main/t5xxl_fp8_e4m3fn.safetensors"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (Q3_K_L quantized)",
+            "filename": "t5-v1_1-xxl-encoder-Q3_K_L.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-Q3_K_L.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "2.46GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q3_K_L.gguf"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (Q3_K_M quantized)",
+            "filename": "t5-v1_1-xxl-encoder-Q3_K_M.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-Q3_K_M.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "2.3GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q3_K_M.gguf"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (Q3_K_S quantized)",
+            "filename": "t5-v1_1-xxl-encoder-Q3_K_S.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-Q3_K_S.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "2.1GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q3_K_S.gguf"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (Q4_K_M quantized)",
+            "filename": "t5-v1_1-xxl-encoder-Q4_K_M.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-Q4_K_M.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "2.9GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q4_K_M.gguf"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (Q4_K_S quantized)",
+            "filename": "t5-v1_1-xxl-encoder-Q4_K_S.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-Q4_K_S.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "2.74GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q4_K_S.gguf"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (Q5_K_M quantized)",
+            "filename": "t5-v1_1-xxl-encoder-Q5_K_M.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-Q5_K_M.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "3.39GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q5_K_M.gguf"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (Q5_K_S quantized)",
+            "filename": "t5-v1_1-xxl-encoder-Q5_K_S.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-Q5_K_S.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "3.29GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q5_K_S.gguf"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (Q6_K quantized)",
+            "filename": "t5-v1_1-xxl-encoder-Q6_K.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-Q6_K.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "3.91GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q6_K.gguf"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (Q8_0 quantized)",
+            "filename": "t5-v1_1-xxl-encoder-Q8_0.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-Q8_0.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "5.06GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q8_0.gguf"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (float 16)",
+            "filename": "t5-v1_1-xxl-encoder-f16.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-f16.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "9.53GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-f16.gguf"
+        },
+        {
+            "base": "t5",
+            "description": "t5xxl Text Encoder GGUF model. (float 32)",
+            "filename": "t5-v1_1-xxl-encoder-f32.gguf",
+            "name": "city96/t5-v1_1-xxl-encoder-f32.gguf",
+            "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+            "save_path": "clip/t5",
+            "size": "19.1GB",
+            "type": "clip",
+            "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-f32.gguf"
+        },
+        {
+            "base": "clip",
+            "description": "clip_l model",
+            "filename": "clip_l.safetensors",
+            "name": "comfyanonymous/clip_l",
+            "reference": "https://huggingface.co/comfyanonymous/flux_text_encoders/tree/main",
+            "save_path": "default",
+            "size": "246MB",
+            "type": "clip",
+            "url": "https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Stable Diffusion 1.5 base model",
+            "filename": "v1-5-pruned-emaonly.ckpt",
+            "name": "v1-5-pruned-emaonly.ckpt",
+            "reference": "https://huggingface.co/runwayml/stable-diffusion-v1-5",
+            "save_path": "default",
+            "size": "4.27GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt"
+        },
+        {
+            "base": "SD2",
+            "description": "Stable Diffusion 2 base model (512)",
+            "filename": "v2-1_512-ema-pruned.safetensors",
+            "name": "v2-1_512-ema-pruned.safetensors",
+            "reference": "https://huggingface.co/stabilityai/stable-diffusion-2-1-base",
+            "save_path": "default",
+            "size": "5.21GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/v2-1_512-ema-pruned.safetensors"
+        },
+        {
+            "base": "SD2",
+            "description": "Stable Diffusion 2 base model (768)",
+            "filename": "v2-1_768-ema-pruned.safetensors",
+            "name": "v2-1_768-ema-pruned.safetensors",
+            "reference": "https://huggingface.co/stabilityai/stable-diffusion-2-1",
+            "save_path": "default",
+            "size": "5.21GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "AbyssOrangeMix2 - hard version (anime style)",
+            "filename": "AbyssOrangeMix2_hard.safetensors",
+            "name": "AbyssOrangeMix2 (hard)",
+            "reference": "https://huggingface.co/WarriorMama777/OrangeMixs",
+            "save_path": "default",
+            "size": "5.57GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix2/AbyssOrangeMix2_hard.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "AbyssOrangeMix3 - A1 (anime style)",
+            "filename": "AOM3A1_orangemixs.safetensors",
+            "name": "AbyssOrangeMix3 A1",
+            "reference": "https://huggingface.co/WarriorMama777/OrangeMixs",
+            "save_path": "default",
+            "size": "2.13GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A1_orangemixs.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "AbyssOrangeMix - A3 (anime style)",
+            "filename": "AOM3A3_orangemixs.safetensors",
+            "name": "AbyssOrangeMix3 A3",
+            "reference": "https://huggingface.co/WarriorMama777/OrangeMixs",
+            "save_path": "default",
+            "size": "2.13GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A3_orangemixs.safetensors"
+        },
+        {
+            "base": "SD2.1",
+            "description": "Waifu Diffusion 1.5 Beta3",
+            "filename": "wd-illusion-fp16.safetensors",
+            "name": "Waifu Diffusion 1.5 Beta3 (fp16)",
+            "reference": "https://huggingface.co/waifu-diffusion/wd-1-5-beta3",
+            "save_path": "default",
+            "size": "2.58GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/waifu-diffusion/wd-1-5-beta3/resolve/main/wd-illusion-fp16.safetensors"
+        },
+        {
+            "base": "SD2.1",
+            "description": "Mix model (SD2.1 unCLIP + illuminatiDiffusionV1_v11)",
+            "filename": "illuminatiDiffusionV1_v11-unclip-h-fp16.safetensors",
+            "name": "illuminatiDiffusionV1_v11 unCLIP model",
+            "reference": "https://huggingface.co/comfyanonymous/illuminatiDiffusionV1_v11_unCLIP",
+            "save_path": "default",
+            "size": "3.98GB",
+            "type": "unclip",
+            "url": "https://huggingface.co/comfyanonymous/illuminatiDiffusionV1_v11_unCLIP/resolve/main/illuminatiDiffusionV1_v11-unclip-h-fp16.safetensors"
+        },
+        {
+            "base": "SD2.1",
+            "description": "Mix model (SD2.1 unCLIP + Waifu Diffusion 1.5)",
+            "filename": "wd-1-5-beta2-aesthetic-unclip-h-fp16.safetensors",
+            "name": "Waifu Diffusion 1.5 unCLIP model",
+            "reference": "https://huggingface.co/comfyanonymous/wd-1.5-beta2_unCLIP",
+            "save_path": "default",
+            "size": "3.98GB",
+            "type": "unclip",
+            "url": "https://huggingface.co/comfyanonymous/wd-1.5-beta2_unCLIP/resolve/main/wd-1-5-beta2-aesthetic-unclip-h-fp16.safetensors"
+        },
+        {
+            "base": "SDXL VAE",
+            "description": "SDXL-VAE",
+            "filename": "sdxl_vae.safetensors",
+            "name": "sdxl_vae.safetensors",
+            "reference": "https://huggingface.co/stabilityai/sdxl-vae",
+            "save_path": "default",
+            "size": "334.6MB",
+            "type": "VAE",
+            "url": "https://huggingface.co/stabilityai/sdxl-vae/resolve/main/sdxl_vae.safetensors"
+        },
+        {
+            "base": "SD1.5 VAE",
+            "description": "vae-ft-mse-840000-ema-pruned",
+            "filename": "vae-ft-mse-840000-ema-pruned.safetensors",
+            "name": "vae-ft-mse-840000-ema-pruned",
+            "reference": "https://huggingface.co/stabilityai/sd-vae-ft-mse-original",
+            "save_path": "default",
+            "size": "334.6MB",
+            "type": "VAE",
+            "url": "https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors"
+        },
+        {
+            "base": "SD1.5 VAE",
+            "description": "orangemix vae model",
+            "filename": "orangemix.vae.pt",
+            "name": "orangemix.vae",
+            "reference": "https://huggingface.co/WarriorMama777/OrangeMixs",
+            "save_path": "default",
+            "size": "822.8MB",
+            "type": "VAE",
+            "url": "https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/VAEs/orangemix.vae.pt"
+        },
+        {
+            "base": "SD2.1 VAE",
+            "description": "kl-f8-anime2 vae model",
+            "filename": "kl-f8-anime2.ckpt",
+            "name": "kl-f8-anime2",
+            "reference": "https://huggingface.co/hakurei/waifu-diffusion-v1-4",
+            "save_path": "default",
+            "size": "404.7MB",
+            "type": "VAE",
+            "url": "https://huggingface.co/hakurei/waifu-diffusion-v1-4/resolve/main/vae/kl-f8-anime2.ckpt"
+        },
+        {
+            "base": "SD1.5 VAE",
+            "description": "OpenAI Consistency Decoder. Improved decoding for stable diffusion vaes.",
+            "filename": "decoder.pt",
+            "name": "OpenAI Consistency Decoder",
+            "reference": "https://github.com/openai/consistencydecoder",
+            "save_path": "vae/openai_consistency_decoder",
+            "size": "2.49GB",
+            "type": "VAE",
+            "url": "https://openaipublic.azureedge.net/diff-vae/c9cebd3132dd9c42936d803e33424145a748843c8f716c0814838bdc8a2fe7cb/decoder.pt"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Latent Consistency LoRA for SD1.5",
+            "filename": "pytorch_lora_weights.safetensors",
+            "name": "LCM LoRA SD1.5",
+            "reference": "https://huggingface.co/latent-consistency/lcm-lora-sdv1-5",
+            "save_path": "loras/lcm/SD1.5",
+            "size": "134.6MB",
+            "type": "lora",
+            "url": "https://huggingface.co/latent-consistency/lcm-lora-sdv1-5/resolve/main/pytorch_lora_weights.safetensors"
+        },
+        {
+            "base": "SSD-1B",
+            "description": "Latent Consistency LoRA for SSD-1B",
+            "filename": "pytorch_lora_weights.safetensors",
+            "name": "LCM LoRA SSD-1B",
+            "reference": "https://huggingface.co/latent-consistency/lcm-lora-ssd-1b",
+            "save_path": "loras/lcm/SSD-1B",
+            "size": "210.0MB",
+            "type": "lora",
+            "url": "https://huggingface.co/latent-consistency/lcm-lora-ssd-1b/resolve/main/pytorch_lora_weights.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "Latent Consistency LoRA for SDXL",
+            "filename": "pytorch_lora_weights.safetensors",
+            "name": "LCM LoRA SDXL",
+            "reference": "https://huggingface.co/latent-consistency/lcm-lora-sdxl",
+            "save_path": "loras/lcm/SDXL",
+            "size": "393.9MB",
+            "type": "lora",
+            "url": "https://huggingface.co/latent-consistency/lcm-lora-sdxl/resolve/main/pytorch_lora_weights.safetensors"
+        },
+        {
+            "base": "segmind-vega",
+            "description": "The Segmind-Vega Model is a distilled version of the Stable Diffusion XL (SDXL), offering a remarkable 70% reduction in size and an impressive 100% speedup while retaining high-quality text-to-image generation capabilities.",
+            "filename": "segmind-vega.safetensors",
+            "name": "Segmind-Vega",
+            "reference": "https://huggingface.co/segmind/Segmind-Vega",
+            "save_path": "checkpoints/segmind-vega",
+            "size": "3.29GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/segmind/Segmind-Vega/resolve/main/segmind-vega.safetensors"
+        },
+        {
+            "base": "segmind-vega",
+            "description": "Segmind-VegaRT a distilled consistency adapter for Segmind-Vega that allows to reduce the number of inference steps to only between 2 - 8 steps.",
+            "filename": "pytorch_lora_weights.safetensors",
+            "name": "Segmind-VegaRT - Latent Consistency Model (LCM) LoRA of Segmind-Vega",
+            "reference": "https://huggingface.co/segmind/Segmind-VegaRT",
+            "save_path": "loras/segmind-vega",
+            "size": "239.2MB",
+            "type": "lora",
+            "url": "https://huggingface.co/segmind/Segmind-VegaRT/resolve/main/pytorch_lora_weights.safetensors"
+        },
+        {
+            "base": "SD2.1",
+            "description": "LORA: Theovercomer8's Contrast Fix (SD2.1)",
+            "filename": "theovercomer8sContrastFix_sd21768.safetensors",
+            "name": "Theovercomer8's Contrast Fix (SD2.1)",
+            "reference": "https://civitai.com/models/8765/theovercomer8s-contrast-fix-sd15sd21-768",
+            "save_path": "default",
+            "size": "163MB",
+            "type": "lora",
+            "url": "https://civitai.com/api/download/models/10350"
+        },
+        {
+            "base": "SD1.5",
+            "description": "LORA: Theovercomer8's Contrast Fix (SD1.5)",
+            "filename": "theovercomer8sContrastFix_sd15.safetensors",
+            "name": "Theovercomer8's Contrast Fix (SD1.5)",
+            "reference": "https://civitai.com/models/8765/theovercomer8s-contrast-fix-sd15sd21-768",
+            "save_path": "default",
+            "size": "113MB",
+            "type": "lora",
+            "url": "https://civitai.com/api/download/models/10638"
+        },
+        {
+            "base": "SD1.5",
+            "description": "ControlNet T2I-Adapter for depth",
+            "filename": "t2iadapter_depth_sd14v1.pth",
+            "name": "T2I-Adapter (depth)",
+            "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
+            "save_path": "default",
+            "size": "309.5MB",
+            "type": "T2I-Adapter",
+            "url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_depth_sd14v1.pth"
+        },
+        {
+            "base": "SD1.5",
+            "description": "ControlNet T2I-Adapter for seg",
+            "filename": "t2iadapter_seg_sd14v1.pth",
+            "name": "T2I-Adapter (seg)",
+            "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
+            "save_path": "default",
+            "size": "309.5MB",
+            "type": "T2I-Adapter",
+            "url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_seg_sd14v1.pth"
+        },
+        {
+            "base": "SD1.5",
+            "description": "ControlNet T2I-Adapter for sketch",
+            "filename": "t2iadapter_sketch_sd14v1.pth",
+            "name": "T2I-Adapter (sketch)",
+            "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
+            "save_path": "default",
+            "size": "308.0MB",
+            "type": "T2I-Adapter",
+            "url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_sketch_sd14v1.pth"
+        },
+        {
+            "base": "SD1.5",
+            "description": "ControlNet T2I-Adapter for keypose",
+            "filename": "t2iadapter_keypose_sd14v1.pth",
+            "name": "T2I-Adapter (keypose)",
+            "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
+            "save_path": "default",
+            "size": "309.5MB",
+            "type": "T2I-Adapter",
+            "url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_keypose_sd14v1.pth"
+        },
+        {
+            "base": "SD1.5",
+            "description": "ControlNet T2I-Adapter for openpose",
+            "filename": "t2iadapter_openpose_sd14v1.pth",
+            "name": "T2I-Adapter (openpose)",
+            "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
+            "save_path": "default",
+            "size": "309.5MB",
+            "type": "T2I-Adapter",
+            "url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_openpose_sd14v1.pth"
+        },
+        {
+            "base": "SD1.5",
+            "description": "ControlNet T2I-Adapter for color",
+            "filename": "t2iadapter_color_sd14v1.pth",
+            "name": "T2I-Adapter (color)",
+            "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
+            "save_path": "default",
+            "size": "74.8MB",
+            "type": "T2I-Adapter",
+            "url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_color_sd14v1.pth"
+        },
+        {
+            "base": "SD1.5",
+            "description": "ControlNet T2I-Adapter for canny",
+            "filename": "t2iadapter_canny_sd14v1.pth",
+            "name": "T2I-Adapter (canny)",
+            "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
+            "save_path": "default",
+            "size": "308.0MB",
+            "type": "T2I-Adapter",
+            "url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_canny_sd14v1.pth"
+        },
+        {
+            "base": "SD1.5",
+            "description": "ControlNet T2I-Adapter style model. Need to download CLIPVision model.",
+            "filename": "t2iadapter_style_sd14v1.pth",
+            "name": "T2I-Style model",
+            "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
+            "save_path": "default",
+            "size": "154.4MB",
+            "type": "T2I-Style",
+            "url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_style_sd14v1.pth"
+        },
+        {
+            "base": "SDXL",
+            "description": "ControlNet T2I-Adapter XL for lineart",
+            "filename": "t2i-adapter-lineart-sdxl-1.0.fp16.safetensors",
+            "name": "T2I-Adapter XL (lineart) FP16",
+            "reference": "https://huggingface.co/TencentARC/t2i-adapter-lineart-sdxl-1.0",
+            "save_path": "default",
+            "size": "158.1MB",
+            "type": "T2I-Adapter",
+            "url": "https://huggingface.co/TencentARC/t2i-adapter-lineart-sdxl-1.0/resolve/main/diffusion_pytorch_model.fp16.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "ControlNet T2I-Adapter XL for canny",
+            "filename": "t2i-adapter-canny-sdxl-1.0.fp16.safetensors",
+            "name": "T2I-Adapter XL (canny) FP16",
+            "reference": "https://huggingface.co/TencentARC/t2i-adapter-canny-sdxl-1.0",
+            "save_path": "default",
+            "size": "158.1MB",
+            "type": "T2I-Adapter",
+            "url": "https://huggingface.co/TencentARC/t2i-adapter-canny-sdxl-1.0/resolve/main/diffusion_pytorch_model.fp16.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "ControlNet T2I-Adapter XL for depth-zoe",
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+        },
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+        },
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+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
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+            "name": "face_yolov8m (bbox)",
+            "reference": "https://huggingface.co/Bingsu/adetailer/tree/main",
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+            "size": "52.0MB",
+            "type": "Ultralytics",
+            "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/face_yolov8m.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "face_yolov8n.pt",
+            "name": "face_yolov8n (bbox)",
+            "reference": "https://huggingface.co/Bingsu/adetailer/tree/main",
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+            "type": "Ultralytics",
+            "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/face_yolov8n.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "face_yolov8n_v2.pt",
+            "name": "face_yolov8n_v2 (bbox)",
+            "reference": "https://huggingface.co/Bingsu/adetailer/tree/main",
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+            "size": "6.24MB",
+            "type": "Ultralytics",
+            "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/face_yolov8n_v2.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "face_yolov8s.pt",
+            "name": "face_yolov8s (bbox)",
+            "reference": "https://huggingface.co/Bingsu/adetailer/tree/main",
+            "save_path": "ultralytics/bbox",
+            "size": "22.5MB",
+            "type": "Ultralytics",
+            "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/face_yolov8s.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "hand_yolov8n.pt",
+            "name": "hand_yolov8n (bbox)",
+            "reference": "https://huggingface.co/Bingsu/adetailer/tree/main",
+            "save_path": "ultralytics/bbox",
+            "size": "6.24MB",
+            "type": "Ultralytics",
+            "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/hand_yolov8n.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "hand_yolov8s.pt",
+            "name": "hand_yolov8s (bbox)",
+            "reference": "https://huggingface.co/Bingsu/adetailer/tree/main",
+            "save_path": "ultralytics/bbox",
+            "size": "22.5MB",
+            "type": "Ultralytics",
+            "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/hand_yolov8s.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "person_yolov8m-seg.pt",
+            "name": "person_yolov8m (segm)",
+            "reference": "https://huggingface.co/Bingsu/adetailer/tree/main",
+            "save_path": "ultralytics/segm",
+            "size": "54.8MB",
+            "type": "Ultralytics",
+            "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/person_yolov8m-seg.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "person_yolov8n-seg.pt",
+            "name": "person_yolov8n (segm)",
+            "reference": "https://huggingface.co/Bingsu/adetailer/tree/main",
+            "save_path": "ultralytics/segm",
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+            "type": "Ultralytics",
+            "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/person_yolov8n-seg.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
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+            "name": "person_yolov8s (segm)",
+            "reference": "https://huggingface.co/Bingsu/adetailer/tree/main",
+            "save_path": "ultralytics/segm",
+            "size": "23.9MB",
+            "type": "Ultralytics",
+            "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/person_yolov8s-seg.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "deepfashion2_yolov8s-seg.pt",
+            "name": "deepfashion2_yolov8s (segm)",
+            "reference": "https://huggingface.co/Bingsu/adetailer/tree/main",
+            "save_path": "ultralytics/segm",
+            "size": "23.9MB",
+            "type": "Ultralytics",
+            "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/deepfashion2_yolov8s-seg.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "face_yolov8m-seg_60.pt",
+            "name": "face_yolov8m-seg_60.pt (segm)",
+            "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+            "save_path": "ultralytics/segm",
+            "size": "54.8MB",
+            "type": "Ultralytics",
+            "url": "https://github.com/hben35096/assets/releases/download/yolo8/face_yolov8m-seg_60.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "face_yolov8n-seg2_60.pt",
+            "name": "face_yolov8n-seg2_60.pt (segm)",
+            "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+            "save_path": "ultralytics/segm",
+            "size": "6.77MB",
+            "type": "Ultralytics",
+            "url": "https://github.com/hben35096/assets/releases/download/yolo8/face_yolov8n-seg2_60.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "hair_yolov8n-seg_60.pt",
+            "name": "hair_yolov8n-seg_60.pt (segm)",
+            "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+            "save_path": "ultralytics/segm",
+            "size": "6.77MB",
+            "type": "Ultralytics",
+            "url": "https://github.com/hben35096/assets/releases/download/yolo8/hair_yolov8n-seg_60.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "skin_yolov8m-seg_400.pt",
+            "name": "skin_yolov8m-seg_400.pt (segm)",
+            "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+            "save_path": "ultralytics/segm",
+            "size": "54.9MB",
+            "type": "Ultralytics",
+            "url": "https://github.com/hben35096/assets/releases/download/yolo8/skin_yolov8m-seg_400.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "skin_yolov8n-seg_400.pt",
+            "name": "skin_yolov8n-seg_400.pt (segm)",
+            "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+            "save_path": "ultralytics/segm",
+            "size": "6.83MB",
+            "type": "Ultralytics",
+            "url": "https://github.com/hben35096/assets/releases/download/yolo8/skin_yolov8n-seg_400.pt"
+        },
+        {
+            "base": "Ultralytics",
+            "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+            "filename": "skin_yolov8n-seg_800.pt",
+            "name": "skin_yolov8n-seg_800.pt (segm)",
+            "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+            "save_path": "ultralytics/segm",
+            "size": "6.84MB",
+            "type": "Ultralytics",
+            "url": "https://github.com/hben35096/assets/releases/download/yolo8/skin_yolov8n-seg_800.pt"
+        },
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+            "name": "animatediff/mmd_sd_v14.ckpt (comfyui-animatediff) (Updated path)",
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+            "size": "1.67GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v14.ckpt"
+        },
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+            "description": "Pressing 'install' directly downloads the model from the ArtVentureX/AnimateDiff extension node.",
+            "filename": "mm_sd_v15.ckpt",
+            "name": "animatediff/mm_sd_v15.ckpt (comfyui-animatediff) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "AnimateDiff",
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+            "type": "animatediff",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15.ckpt"
+        },
+        {
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+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "mm_sd_v14.ckpt",
+            "name": "animatediff/mmd_sd_v14.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_models",
+            "size": "1.67GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v14.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "mm_sd_v15.ckpt",
+            "name": "animatediff/mm_sd_v15.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_models",
+            "size": "1.67GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "mm_sd_v15_v2.ckpt",
+            "name": "animatediff/mm_sd_v15_v2.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_models",
+            "size": "1.82GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15_v2.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "v3_sd15_mm.ckpt",
+            "name": "animatediff/v3_sd15_mm.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_models",
+            "size": "1.67GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_mm.ckpt"
+        },
+        {
+            "base": "SDXL",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "mm_sdxl_v10_beta.ckpt",
+            "name": "animatediff/mm_sdxl_v10_beta.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_models",
+            "size": "950.1MB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sdxl_v10_beta.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "mm-Stabilized_high.pth",
+            "name": "AD_Stabilized_Motion/mm-Stabilized_high.pth (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/manshoety/AD_Stabilized_Motion",
+            "save_path": "animatediff_models",
+            "size": "1.67GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/manshoety/AD_Stabilized_Motion/resolve/main/mm-Stabilized_high.pth"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "mm-Stabilized_mid.pth",
+            "name": "AD_Stabilized_Motion/mm-Stabilized_mid.pth (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/manshoety/AD_Stabilized_Motion",
+            "save_path": "animatediff_models",
+            "size": "1.67GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/manshoety/AD_Stabilized_Motion/resolve/main/mm-Stabilized_mid.pth"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "temporaldiff-v1-animatediff.ckpt",
+            "name": "CiaraRowles/temporaldiff-v1-animatediff.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/CiaraRowles/TemporalDiff",
+            "save_path": "animatediff_models",
+            "size": "1.67GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/CiaraRowles/TemporalDiff/resolve/main/temporaldiff-v1-animatediff.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "v2_lora_PanLeft.ckpt",
+            "name": "animatediff/v2_lora_PanLeft.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_motion_lora",
+            "size": "77.5MB",
+            "type": "motion lora",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_PanLeft.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "v2_lora_PanRight.ckpt",
+            "name": "animatediff/v2_lora_PanRight.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_motion_lora",
+            "size": "77.5MB",
+            "type": "motion lora",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_PanRight.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "v2_lora_RollingAnticlockwise.ckpt",
+            "name": "animatediff/v2_lora_RollingAnticlockwise.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_motion_lora",
+            "size": "77.5MB",
+            "type": "motion lora",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_RollingAnticlockwise.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "v2_lora_RollingClockwise.ckpt",
+            "name": "animatediff/v2_lora_RollingClockwise.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_motion_lora",
+            "size": "77.5MB",
+            "type": "motion lora",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_RollingClockwise.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "v2_lora_TiltDown.ckpt",
+            "name": "animatediff/v2_lora_TiltDown.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_motion_lora",
+            "size": "77.5MB",
+            "type": "motion lora",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_TiltDown.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "v2_lora_TiltUp.ckpt",
+            "name": "animatediff/v2_lora_TiltUp.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_motion_lora",
+            "size": "77.5MB",
+            "type": "motion lora",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_TiltUp.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "v2_lora_ZoomIn.ckpt",
+            "name": "animatediff/v2_lora_ZoomIn.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_motion_lora",
+            "size": "77.5MB",
+            "type": "motion lora",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_ZoomIn.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "v2_lora_ZoomOut.ckpt",
+            "name": "animatediff/v2_lora_ZoomOut.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "animatediff_motion_lora",
+            "size": "77.5MB",
+            "type": "motion lora",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_ZoomOut.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "lt_long_mm_32_frames.ckpt",
+            "name": "LongAnimatediff/lt_long_mm_32_frames.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/Lightricks/LongAnimateDiff",
+            "save_path": "animatediff_models",
+            "size": "1.82GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/Lightricks/LongAnimateDiff/resolve/main/lt_long_mm_32_frames.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "lt_long_mm_16_64_frames.ckpt",
+            "name": "LongAnimatediff/lt_long_mm_16_64_frames.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/Lightricks/LongAnimateDiff",
+            "save_path": "animatediff_models",
+            "size": "1.83GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/Lightricks/LongAnimateDiff/resolve/main/lt_long_mm_16_64_frames.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+            "filename": "lt_long_mm_16_64_frames_v1.1.ckpt",
+            "name": "LongAnimatediff/lt_long_mm_16_64_frames_v1.1.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+            "reference": "https://huggingface.co/Lightricks/LongAnimateDiff",
+            "save_path": "animatediff_models",
+            "size": "1.83GB",
+            "type": "animatediff",
+            "url": "https://huggingface.co/Lightricks/LongAnimateDiff/resolve/main/lt_long_mm_16_64_frames_v1.1.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "AnimateDiff SparseCtrl RGB ControlNet model",
+            "filename": "v3_sd15_sparsectrl_rgb.ckpt",
+            "name": "animatediff/v3_sd15_sparsectrl_rgb.ckpt (ComfyUI-AnimateDiff-Evolved)",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "controlnet/SD1.5/animatediff",
+            "size": "1.99GB",
+            "type": "controlnet",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_sparsectrl_rgb.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "AnimateDiff SparseCtrl Scribble ControlNet model",
+            "filename": "v3_sd15_sparsectrl_scribble.ckpt",
+            "name": "animatediff/v3_sd15_sparsectrl_scribble.ckpt",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "controlnet/SD1.5/animatediff",
+            "size": "1.99GB",
+            "type": "controlnet",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_sparsectrl_scribble.ckpt"
+        },
+        {
+            "base": "SD1.x",
+            "description": "AnimateDiff Adapter LoRA (SD1.5)",
+            "filename": "v3_sd15_adapter.ckpt",
+            "name": "animatediff/v3_sd15_adapter.ckpt",
+            "reference": "https://huggingface.co/guoyww/animatediff",
+            "save_path": "loras/SD1.5/animatediff",
+            "size": "102.1MB",
+            "type": "lora",
+            "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_adapter.ckpt"
+        },
+        {
+            "base": "MotionCtrl",
+            "description": "To use the ComfyUI-MotionCtrl extension, downloading this model is required.",
+            "filename": "motionctrl.pth",
+            "name": "TencentARC/motionctrl.pth",
+            "reference": "https://huggingface.co/TencentARC/MotionCtrl",
+            "save_path": "checkpoints/motionctrl",
+            "size": "4.02GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/TencentARC/MotionCtrl/resolve/main/motionctrl.pth"
+        },
+        {
+            "base": "SD1.5",
+            "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+            "filename": "ip-adapter_sd15.safetensors",
+            "name": "ip-adapter_sd15.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "44.6MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+            "filename": "ip-adapter_sd15_light_v11.bin",
+            "name": "ip-adapter_sd15_light_v11.bin",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "44.6MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15_light_v11.bin"
+        },
+        {
+            "base": "SD1.5",
+            "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+            "filename": "ip-adapter_sd15_light.safetensors",
+            "name": "ip-adapter_sd15_light.safetensors [DEPRECATED]",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "44.6MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15_light.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+            "filename": "ip-adapter-plus_sd15.safetensors",
+            "name": "ip-adapter-plus_sd15.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "98.2MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus_sd15.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+            "filename": "ip-adapter-plus-face_sd15.safetensors",
+            "name": "ip-adapter-plus-face_sd15.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "98.2MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus-face_sd15.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+            "filename": "ip-adapter-full-face_sd15.safetensors",
+            "name": "ip-adapter-full-face_sd15.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "43.6MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-full-face_sd15.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+            "filename": "ip-adapter_sd15_vit-G.safetensors",
+            "name": "ip-adapter_sd15_vit-G.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "46.2MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15_vit-G.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "IP-Adapter-FaceID Model (SD1.5) [ipadapter]",
+            "filename": "ip-adapter-faceid_sd15.bin",
+            "name": "ip-adapter-faceid_sd15.bin",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "ipadapter",
+            "size": "96.7MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sd15.bin"
+        },
+        {
+            "base": "SD1.5",
+            "description": "IP-Adapter-FaceID Plus V2 Model (SD1.5) [ipadapter]",
+            "filename": "ip-adapter-faceid-plusv2_sd15.bin",
+            "name": "ip-adapter-faceid-plusv2_sd15.bin",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "ipadapter",
+            "size": "156.6MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sd15.bin"
+        },
+        {
+            "base": "SD1.5",
+            "description": "IP-Adapter-FaceID Plus Model (SD1.5) [ipadapter]",
+            "filename": "ip-adapter-faceid-plus_sd15.bin",
+            "name": "ip-adapter-faceid-plus_sd15.bin [DEPRECATED]",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "ipadapter",
+            "size": "156.6MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plus_sd15.bin"
+        },
+        {
+            "base": "SD1.5",
+            "description": "IP-Adapter-FaceID Portrait V11 Model (SD1.5) [ipadapter]",
+            "filename": "ip-adapter-faceid-portrait-v11_sd15.bin",
+            "name": "ip-adapter-faceid-portrait-v11_sd15.bin",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "ipadapter",
+            "size": "64.6MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-portrait-v11_sd15.bin"
+        },
+        {
+            "base": "SD1.5",
+            "description": "IP-Adapter-FaceID Portrait Model (SD1.5) [ipadapter]",
+            "filename": "ip-adapter-faceid-portrait_sd15.bin",
+            "name": "ip-adapter-faceid-portrait_sd15.bin [DEPRECATED]",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "ipadapter",
+            "size": "64.6MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-portrait_sd15.bin"
+        },
+        {
+            "base": "SDXL",
+            "description": "IP-Adapter-FaceID Model (SDXL) [ipadapter]",
+            "filename": "ip-adapter-faceid_sdxl.bin",
+            "name": "ip-adapter-faceid_sdxl.bin",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "ipadapter",
+            "size": "1.07GB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sdxl.bin"
+        },
+        {
+            "base": "SDXL",
+            "description": "IP-Adapter-FaceID Plus Model (SDXL) [ipadapter]",
+            "filename": "ip-adapter-faceid-plusv2_sdxl.bin",
+            "name": "ip-adapter-faceid-plusv2_sdxl.bin",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "ipadapter",
+            "size": "1.49GB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sdxl.bin"
+        },
+        {
+            "base": "SDXL",
+            "description": "IP-Adapter-FaceID Portrait Model (SDXL) [ipadapter]",
+            "filename": "ip-adapter-faceid-portrait_sdxl.bin",
+            "name": "ip-adapter-faceid-portrait_sdxl.bin",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "ipadapter",
+            "size": "749.8MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-portrait_sdxl.bin"
+        },
+        {
+            "base": "SDXL",
+            "description": "IP-Adapter-FaceID Portrait Model (SDXL/unnorm) [ipadapter]",
+            "filename": "ip-adapter-faceid-portrait_sdxl_unnorm.bin",
+            "name": "ip-adapter-faceid-portrait_sdxl_unnorm.bin",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "ipadapter",
+            "size": "1.01GB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-portrait_sdxl_unnorm.bin"
+        },
+        {
+            "base": "SD1.5",
+            "description": "IP-Adapter-FaceID LoRA Model (SD1.5) [ipadapter]",
+            "filename": "ip-adapter-faceid_sd15_lora.safetensors",
+            "name": "ip-adapter-faceid_sd15_lora.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "loras/ipadapter",
+            "size": "51.1MB",
+            "type": "lora",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sd15_lora.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "IP-Adapter-FaceID Plus LoRA Model (SD1.5) [ipadapter]",
+            "filename": "ip-adapter-faceid-plus_sd15_lora.safetensors",
+            "name": "ip-adapter-faceid-plus_sd15_lora.safetensors [DEPRECATED]",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "loras/ipadapter",
+            "size": "51.1MB",
+            "type": "lora",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plus_sd15_lora.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "IP-Adapter-FaceID-Plus V2 LoRA Model (SD1.5) [ipadapter]",
+            "filename": "ip-adapter-faceid-plusv2_sd15_lora.safetensors",
+            "name": "ip-adapter-faceid-plusv2_sd15_lora.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "loras/ipadapter",
+            "size": "51.1MB",
+            "type": "lora",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sd15_lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "IP-Adapter-FaceID LoRA Model (SDXL) [ipadapter]",
+            "filename": "ip-adapter-faceid_sdxl_lora.safetensors",
+            "name": "ip-adapter-faceid_sdxl_lora.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "loras/ipadapter",
+            "size": "371.8MB",
+            "type": "lora",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sdxl_lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "IP-Adapter-FaceID-Plus V2 LoRA Model (SDXL) [ipadapter]",
+            "filename": "ip-adapter-faceid-plusv2_sdxl_lora.safetensors",
+            "name": "ip-adapter-faceid-plusv2_sdxl_lora.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+            "save_path": "loras/ipadapter",
+            "size": "371.8MB",
+            "type": "lora",
+            "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sdxl_lora.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+            "filename": "ip-adapter_sdxl.safetensors",
+            "name": "ip-adapter_sdxl.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "702.6MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter_sdxl.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "This model requires the use of the SD1.5 encoder despite being for SDXL checkpoints [ipadapter]",
+            "filename": "ip-adapter_sdxl_vit-h.safetensors",
+            "name": "ip-adapter_sdxl_vit-h.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "698.4MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter_sdxl_vit-h.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "This model requires the use of the SD1.5 encoder despite being for SDXL checkpoints [ipadapter]",
+            "filename": "ip-adapter-plus_sdxl_vit-h.safetensors",
+            "name": "ip-adapter-plus_sdxl_vit-h.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "847.5MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus_sdxl_vit-h.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "This model requires the use of the SD1.5 encoder despite being for SDXL checkpoints [ipadapter]",
+            "filename": "ip-adapter-plus-face_sdxl_vit-h.safetensors",
+            "name": "ip-adapter-plus-face_sdxl_vit-h.safetensors",
+            "reference": "https://huggingface.co/h94/IP-Adapter",
+            "save_path": "ipadapter",
+            "size": "847.5MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus-face_sdxl_vit-h.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+            "filename": "ip_plus_composition_sd15.safetensors",
+            "name": "ip_plus_composition_sd15.safetensors",
+            "reference": "https://huggingface.co/ostris/ip-composition-adapter",
+            "save_path": "ipadapter",
+            "size": "98.2MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/ostris/ip-composition-adapter/resolve/main/ip_plus_composition_sd15.safetensors"
+        },
+        {
+            "base": "SDXL",
+            "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+            "filename": "ip_plus_composition_sdxl.safetensors",
+            "name": "ip_plus_composition_sdxl.safetensors",
+            "reference": "https://huggingface.co/ostris/ip-composition-adapter",
+            "save_path": "ipadapter",
+            "size": "847.5MB",
+            "type": "IP-Adapter",
+            "url": "https://huggingface.co/ostris/ip-composition-adapter/resolve/main/ip_plus_composition_sdxl.safetensors"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Pressing 'install' directly downloads the model from the pfg-ComfyUI/models extension node. (Note: Requires ComfyUI-Manager V0.24 or above)",
+            "filename": "pfg-novel-n10.pt",
+            "name": "pfg-novel-n10.pt",
+            "reference": "https://huggingface.co/furusu/PFG",
+            "save_path": "custom_nodes/pfg-ComfyUI/models",
+            "size": "23.6MB",
+            "type": "PFG",
+            "url": "https://huggingface.co/furusu/PFG/resolve/main/pfg-novel-n10.pt"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Pressing 'install' directly downloads the model from the pfg-ComfyUI/models extension node. (Note: Requires ComfyUI-Manager V0.24 or above)",
+            "filename": "pfg-wd14-n10.pt",
+            "name": "pfg-wd14-n10.pt",
+            "reference": "https://huggingface.co/furusu/PFG",
+            "save_path": "custom_nodes/pfg-ComfyUI/models",
+            "size": "31.5MB",
+            "type": "PFG",
+            "url": "https://huggingface.co/furusu/PFG/resolve/main/pfg-wd14-n10.pt"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Pressing 'install' directly downloads the model from the pfg-ComfyUI/models extension node. (Note: Requires ComfyUI-Manager V0.24 or above)",
+            "filename": "pfg-wd15beta2-n10.pt",
+            "name": "pfg-wd15beta2-n10.pt",
+            "reference": "https://huggingface.co/furusu/PFG",
+            "save_path": "custom_nodes/pfg-ComfyUI/models",
+            "size": "31.5MB",
+            "type": "PFG",
+            "url": "https://huggingface.co/furusu/PFG/resolve/main/pfg-wd15beta2-n10.pt"
+        },
+        {
+            "base": "GFPGAN",
+            "description": "Face Restoration Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+            "filename": "GFPGANv1.4.pth",
+            "name": "GFPGANv1.4.pth",
+            "reference": "https://github.com/TencentARC/GFPGAN/releases",
+            "save_path": "facerestore_models",
+            "size": "348.6MB",
+            "type": "GFPGAN",
+            "url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth"
+        },
+        {
+            "base": "CodeFormer",
+            "description": "Face Restoration Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+            "filename": "codeformer.pth",
+            "name": "codeformer.pth",
+            "reference": "https://github.com/sczhou/CodeFormer/releases",
+            "save_path": "facerestore_models",
+            "size": "376.6MB",
+            "type": "CodeFormer",
+            "url": "https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth"
+        },
+        {
+            "base": "facexlib",
+            "description": "Face Detection Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+            "filename": "detection_Resnet50_Final.pth",
+            "name": "detection_Resnet50_Final.pth",
+            "reference": "https://github.com/xinntao/facexlib",
+            "save_path": "facerestore_models",
+            "size": "109.5MB",
+            "type": "facexlib",
+            "url": "https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth"
+        },
+        {
+            "base": "facexlib",
+            "description": "Face Detection Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+            "filename": "detection_mobilenet0.25_Final.pth",
+            "name": "detection_mobilenet0.25_Final.pth",
+            "reference": "https://github.com/xinntao/facexlib",
+            "save_path": "facerestore_models",
+            "size": "1.79MB",
+            "type": "facexlib",
+            "url": "https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_mobilenet0.25_Final.pth"
+        },
+        {
+            "base": "facexlib",
+            "description": "Face Detection Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+            "filename": "yolov5l-face.pth",
+            "name": "yolov5l-face.pth",
+            "reference": "https://github.com/xinntao/facexlib",
+            "save_path": "facedetection",
+            "size": "187.0MB",
+            "type": "facexlib",
+            "url": "https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/yolov5l-face.pth"
+        },
+        {
+            "base": "facexlib",
+            "description": "Face Detection Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+            "filename": "yolov5n-face.pth",
+            "name": "yolov5n-face.pth",
+            "reference": "https://github.com/xinntao/facexlib",
+            "save_path": "facedetection",
+            "size": "7.15MB",
+            "type": "facexlib",
+            "url": "https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/yolov5n-face.pth"
+        },
+        {
+            "base": "SDXL",
+            "description": "PhotoMaker model. This model is compatible with SDXL.",
+            "filename": "photomaker-v1.bin",
+            "name": "photomaker-v1.bin",
+            "reference": "https://huggingface.co/TencentARC/PhotoMaker",
+            "save_path": "photomaker",
+            "size": "934.1MB",
+            "type": "photomaker",
+            "url": "https://huggingface.co/TencentARC/PhotoMaker/resolve/main/photomaker-v1.bin"
+        },
+        {
+            "base": "SDXL",
+            "description": "PhotoMaker model. This model is compatible with SDXL.",
+            "filename": "photomaker-v2.bin",
+            "name": "photomaker-v2.bin",
+            "reference": "https://huggingface.co/TencentARC/PhotoMaker-V2",
+            "save_path": "photomaker",
+            "size": "1.8GB",
+            "type": "photomaker",
+            "url": "https://huggingface.co/TencentARC/PhotoMaker-V2/resolve/main/photomaker-v2.bin"
+        },
+        {
+            "base": "inswapper",
+            "description": "Antelopev2 1k3d68.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
+            "filename": "1k3d68.onnx",
+            "name": "1k3d68.onnx",
+            "reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
+            "save_path": "insightface/models/antelopev2",
+            "size": "143.6MB",
+            "type": "insightface",
+            "url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/1k3d68.onnx"
+        },
+        {
+            "base": "inswapper",
+            "description": "Antelopev2 2d106det.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
+            "filename": "2d106det.onnx",
+            "name": "2d106det.onnx",
+            "reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
+            "save_path": "insightface/models/antelopev2",
+            "size": "5.03MB",
+            "type": "insightface",
+            "url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/2d106det.onnx"
+        },
+        {
+            "base": "inswapper",
+            "description": "Antelopev2 genderage.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
+            "filename": "genderage.onnx",
+            "name": "genderage.onnx",
+            "reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
+            "save_path": "insightface/models/antelopev2",
+            "size": "1.32MB",
+            "type": "insightface",
+            "url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/genderage.onnx"
+        },
+        {
+            "base": "inswapper",
+            "description": "Antelopev2 glintr100.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
+            "filename": "glintr100.onnx",
+            "name": "glintr100.onnx",
+            "reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
+            "save_path": "insightface/models/antelopev2",
+            "size": "260.7MB",
+            "type": "insightface",
+            "url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/glintr100.onnx"
+        },
+        {
+            "base": "inswapper",
+            "description": "Antelopev2 scrfd_10g_bnkps.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
+            "filename": "scrfd_10g_bnkps.onnx",
+            "name": "scrfd_10g_bnkps.onnx",
+            "reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
+            "save_path": "insightface/models/antelopev2",
+            "size": "16.9MB",
+            "type": "insightface",
+            "url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/scrfd_10g_bnkps.onnx"
+        },
+        {
+            "base": "SDXL",
+            "description": "InstantId main model based on IpAdapter",
+            "filename": "ip-adapter.bin",
+            "name": "ip-adapter.bin",
+            "reference": "https://huggingface.co/InstantX/InstantID",
+            "save_path": "instantid",
+            "size": "1.69GB",
+            "type": "instantid",
+            "url": "https://huggingface.co/InstantX/InstantID/resolve/main/ip-adapter.bin"
+        },
+        {
+            "base": "SDXL",
+            "description": "InstantId controlnet model",
+            "filename": "diffusion_pytorch_model.safetensors",
+            "name": "diffusion_pytorch_model.safetensors",
+            "reference": "https://huggingface.co/InstantX/InstantID",
+            "save_path": "controlnet/instantid",
+            "size": "2.50GB",
+            "type": "controlnet",
+            "url": "https://huggingface.co/InstantX/InstantID/resolve/main/ControlNetModel/diffusion_pytorch_model.safetensors"
+        },
+        {
+            "base": "efficient_sam",
+            "description": "Install efficient_sam_s_cpu.jit into ComfyUI-YoloWorld-EfficientSAM",
+            "filename": "efficient_sam_s_cpu.jit",
+            "name": "efficient_sam_s_cpu.jit [ComfyUI-YoloWorld-EfficientSAM]",
+            "reference": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/tree/main",
+            "save_path": "custom_nodes/ComfyUI-YoloWorld-EfficientSAM",
+            "size": "106.0MB",
+            "type": "efficient_sam",
+            "url": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/resolve/main/efficient_sam_s_cpu.jit"
+        },
+        {
+            "base": "efficient_sam",
+            "description": "Install efficient_sam_s_gpu.jit into ComfyUI-YoloWorld-EfficientSAM",
+            "filename": "efficient_sam_s_gpu.jit",
+            "name": "efficient_sam_s_gpu.jit [ComfyUI-YoloWorld-EfficientSAM]",
+            "reference": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/tree/main",
+            "save_path": "custom_nodes/ComfyUI-YoloWorld-EfficientSAM",
+            "size": "106.0MB",
+            "type": "efficient_sam",
+            "url": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/resolve/main/efficient_sam_s_gpu.jit"
+        },
+        {
+            "base": "DLIB",
+            "description": "To use the Face Analysis for ComfyUI custom node, installation of this model is needed.",
+            "filename": "shape_predictor_68_face_landmarks.dat",
+            "name": "shape_predictor_68_face_landmarks.dat [Face Analysis]",
+            "reference": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/tree/main",
+            "save_path": "custom_nodes/ComfyUI_FaceAnalysis/dlib",
+            "size": "99.7MB",
+            "type": "Shape Predictor",
+            "url": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/resolve/main/shape_predictor_68_face_landmarks.dat"
+        },
+        {
+            "base": "DLIB",
+            "description": "To use the Face Analysis for ComfyUI custom node, installation of this model is needed.",
+            "filename": "dlib_face_recognition_resnet_model_v1.dat",
+            "name": "dlib_face_recognition_resnet_model_v1.dat [Face Analysis]",
+            "reference": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/tree/main",
+            "save_path": "custom_nodes/ComfyUI_FaceAnalysis/dlib",
+            "size": "22.5MB",
+            "type": "Face Recognition",
+            "url": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/resolve/main/dlib_face_recognition_resnet_model_v1.dat"
+        },
+        {
+            "base": "SD1.5",
+            "description": "Fusers checkpoints for multi-object prompting with InstanceDiffusion.",
+            "filename": "fusers.ckpt",
+            "name": "InstanceDiffusion/fusers",
+            "reference": "https://huggingface.co/logtd/instance_diffusion",
+            "save_path": "instance_models/fuser_models",
+            "size": "832.1MB",
+            "type": "InstanceDiffusion",
+            "url": "https://huggingface.co/logtd/instance_diffusion/resolve/main/fusers.ckpt"
+        },
+        {
+            "base": "SD1.5",
+            "description": "PositionNet checkpoints for multi-object prompting with InstanceDiffusion.",
+            "filename": "position_net.ckpt",
+            "name": "InstanceDiffusion/position_net",
+            "reference": "https://huggingface.co/logtd/instance_diffusion",
+            "save_path": "instance_models/positionnet_models",
+            "size": "643.2MB",
+            "type": "InstanceDiffusion",
+            "url": "https://huggingface.co/logtd/instance_diffusion/resolve/main/position_net.ckpt"
+        },
+        {
+            "base": "SD1.5",
+            "description": "ScaleU checkpoints for multi-object prompting with InstanceDiffusion.",
+            "filename": "scaleu.ckpt",
+            "name": "InstanceDiffusion/scaleu",
+            "reference": "https://huggingface.co/logtd/instance_diffusion",
+            "save_path": "instance_models/scaleu_models",
+            "size": "53.1KB",
+            "type": "InstanceDiffusion",
+            "url": "https://huggingface.co/logtd/instance_diffusion/resolve/main/scaleu.ckpt"
+        },
+        {
+            "base": "inswapper",
+            "description": "Buffalo_l 1k3d68.onnx model for IpAdapterPlus",
+            "filename": "1k3d68.onnx",
+            "name": "1k3d68.onnx",
+            "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus?tab=readme-ov-file#faceid",
+            "save_path": "insightface/models/buffalo_l",
+            "size": "143.6MB",
+            "type": "insightface",
+            "url": "https://huggingface.co/public-data/insightface/resolve/main/models/buffalo_l/1k3d68.onnx"
+        },
+        {
+            "base": "inswapper",
+            "description": "Buffalo_l 2d106det.onnx model for IpAdapterPlus",
+            "filename": "2d106det.onnx",
+            "name": "2d106det.onnx",
+            "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus?tab=readme-ov-file#faceid",
+            "save_path": "insightface/models/buffalo_l",
+            "size": "5.03MB",
+            "type": "insightface",
+            "url": "https://huggingface.co/public-data/insightface/resolve/main/models/buffalo_l/2d106det.onnx"
+        },
+        {
+            "base": "inswapper",
+            "description": "Buffalo_l det_10g.onnx model for IpAdapterPlus",
+            "filename": "det_10g.onnx",
+            "name": "det_10g.onnx",
+            "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus?tab=readme-ov-file#faceid",
+            "save_path": "insightface/models/buffalo_l",
+            "size": "16.9MB",
+            "type": "insightface",
+            "url": "https://huggingface.co/public-data/insightface/resolve/main/models/buffalo_l/det_10g.onnx"
+        },
+        {
+            "base": "inswapper",
+            "description": "Buffalo_l genderage.onnx model for IpAdapterPlus",
+            "filename": "genderage.onnx",
+            "name": "genderage.onnx",
+            "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus?tab=readme-ov-file#faceid",
+            "save_path": "insightface/models/buffalo_l",
+            "size": "1.32MB",
+            "type": "insightface",
+            "url": "https://huggingface.co/public-data/insightface/resolve/main/models/buffalo_l/genderage.onnx"
+        },
+        {
+            "base": "inswapper",
+            "description": "Buffalo_l w600k_r50.onnx model for IpAdapterPlus",
+            "filename": "w600k_r50.onnx",
+            "name": "w600k_r50.onnx",
+            "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus?tab=readme-ov-file#faceid",
+            "save_path": "insightface/models/buffalo_l",
+            "size": "174.4MB",
+            "type": "insightface",
+            "url": "https://huggingface.co/public-data/insightface/resolve/main/models/buffalo_l/w600k_r50.onnx"
+        },
+        {
+            "base": "blip_model",
+            "description": "BLIP ImageCaption (COCO) w/ ViT-B and CapFilt-L",
+            "filename": "model_base_capfilt_large.pth",
+            "name": "BLIP ImageCaption (COCO) w/ ViT-B and CapFilt-L",
+            "reference": "https://github.com/salesforce/BLIP",
+            "save_path": "blip",
+            "size": "2.12GB",
+            "type": "BLIP_MODEL",
+            "url": "https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base_capfilt_large.pth"
+        },
+        {
+            "base": "DINO",
+            "description": "GroundingDINO SwinT OGC Model",
+            "filename": "groundingdino_swint_ogc.pth",
+            "name": "GroundingDINO SwinT OGC - Model",
+            "reference": "https://huggingface.co/ShilongLiu/GroundingDINO",
+            "save_path": "groundingdino",
+            "size": "694.0MB",
+            "type": "GroundingDINO",
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+        },
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+            "description": "tag2text Recognize Anything Model",
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+            "type": "zero123",
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+            "description": "MonsterMMORPG insightface model for cubiq/InstantID",
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+            "name": "MonsterMMORPG/insightface (for InstantID)",
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+            "description": "ID-Animator checkpoint",
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+            "name": "ID-Animator/animator.ckpt",
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+            "description": "Controlnet SDXL Tile model realistic version.",
+            "filename": "TTPLANET_Controlnet_Tile_realistic_v2_fp16.safetensors",
+            "name": "TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic v2 (fp16)",
+            "reference": "https://huggingface.co/TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic",
+            "save_path": "controlnet/SDXL",
+            "size": "2.50GB",
+            "type": "controlnet",
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+        {
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+            "description": "Controlnet SDXL Tile model realistic version.",
+            "filename": "TTPLANET_Controlnet_Tile_realistic_v2_rank256.safetensors",
+            "name": "TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic v2 (rank256)",
+            "reference": "https://huggingface.co/TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic",
+            "save_path": "controlnet/SDXL",
+            "size": "774.4MB",
+            "type": "controlnet",
+            "url": "https://huggingface.co/TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic/resolve/main/TTPLANET_Controlnet_Tile_realistic_v2_rank256.safetensors"
+        },
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+            "description": "RGT x2 upscale model for ComfyUI-RGT",
+            "filename": "RGT_x2.pth",
+            "name": "ViperYX/RGT_x2.pth",
+            "reference": "https://huggingface.co/ViperYX/RGT/tree/main",
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+            "type": "RGT",
+            "url": "https://huggingface.co/ViperYX/RGT/resolve/main/RGT/RGT_x2.pth"
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+            "description": "RGT x3 upscale model for ComfyUI-RGT",
+            "filename": "RGT_x3.pth",
+            "name": "ViperYX/RGT_x3.pth",
+            "reference": "https://huggingface.co/ViperYX/RGT/tree/main",
+            "save_path": "RGT/RGT",
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+            "type": "RGT",
+            "url": "https://huggingface.co/ViperYX/RGT/resolve/main/RGT/RGT_x3.pth"
+        },
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+            "description": "RGT_S x4 upscale model for ComfyUI-RGT",
+            "filename": "RGT_x4.pth",
+            "name": "ViperYX/RGT_x4.pth",
+            "reference": "https://huggingface.co/ViperYX/RGT/tree/main",
+            "save_path": "RGT/RGT",
+            "size": "180.4MB",
+            "type": "RGT",
+            "url": "https://huggingface.co/ViperYX/RGT/resolve/main/RGT/RGT_x4.pth"
+        },
+        {
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+            "description": "RGT_S x2 upscale model for ComfyUI-RGT",
+            "filename": "RGT_S_x2.pth",
+            "name": "ViperYX/RGT_S_x2.pth",
+            "reference": "https://huggingface.co/ViperYX/RGT/tree/main",
+            "save_path": "RGT/RGT_S",
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+            "type": "RGT",
+            "url": "https://huggingface.co/ViperYX/RGT/resolve/main/RGT_S/RGT_S_x2.pth"
+        },
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+            "description": "RGT_S x3 upscale model for ComfyUI-RGT",
+            "filename": "RGT_S_x3.pth",
+            "name": "ViperYX/RGT_S_x3.pth",
+            "reference": "https://huggingface.co/ViperYX/RGT/tree/main",
+            "save_path": "RGT/RGT_S",
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+            "type": "RGT",
+            "url": "https://huggingface.co/ViperYX/RGT/resolve/main/RGT_S/RGT_S_x3.pth"
+        },
+        {
+            "base": "RGT",
+            "description": "RGT_S x4 upscale model for ComfyUI-RGT",
+            "filename": "RGT_S_x4.pth",
+            "name": "ViperYX/RGT_S_x4.pth",
+            "reference": "https://huggingface.co/ViperYX/RGT/tree/main",
+            "save_path": "RGT/RGT_S",
+            "size": "136.0MB",
+            "type": "RGT",
+            "url": "https://huggingface.co/ViperYX/RGT/resolve/main/RGT_S/RGT_S_x4.pth"
+        },
+        {
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+            "description": "ToonCrafter checkpoint model for ComfyUI-ToonCrafter",
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+            "name": "Doubiiu/ToonCrafter model checkpoint",
+            "reference": "https://huggingface.co/Doubiiu/ToonCrafter/tree/main",
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+            "size": "10.5GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/Doubiiu/ToonCrafter/resolve/main/model.ckpt"
+        },
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+            "filename": "diffusion_pytorch_model.safetensors",
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+            "reference": "https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Union",
+            "save_path": "controlnet/FLUX.1/InstantX-FLUX1-Dev-Union",
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+            "type": "controlnet",
+            "url": "https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Union/resolve/main/diffusion_pytorch_model.safetensors"
+        },
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+            "description": "FLUX.1 [Dev] Union Controlnet. Supports Canny, Tile, Depth, Blur, Pose, Gray, Low Quality",
+            "filename": "diffusion_pytorch_model.safetensors",
+            "name": "Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro",
+            "reference": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro",
+            "save_path": "controlnet/FLUX.1/Shakker-Labs-ControlNet-Union-Pro",
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+            "type": "controlnet",
+            "url": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro/resolve/main/diffusion_pytorch_model.safetensors"
+        },
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+            "description": "All-in-one ControlNet for image generations and editing!",
+            "filename": "diffusion_pytorch_model.safetensors",
+            "name": "xinsir/ControlNet++: All-in-one ControlNet",
+            "reference": "https://huggingface.co/xinsir/controlnet-union-sdxl-1.0",
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+            "type": "controlnet",
+            "url": "https://huggingface.co/xinsir/controlnet-union-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors"
+        },
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+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [dev] Checkpoint model (fp8)",
+            "filename": "flux1-dev-fp8.safetensors",
+            "name": "Comfy Org/FLUX.1 [dev] Checkpoint model (fp8)",
+            "reference": "https://huggingface.co/Comfy-Org/flux1-dev/tree/main",
+            "save_path": "checkpoints/FLUX1",
+            "size": "17.2GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/Comfy-Org/flux1-dev/resolve/main/flux1-dev-fp8.safetensors"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [schnell] Checkpoint model (fp8)",
+            "filename": "flux1-schnell-fp8.safetensors",
+            "name": "Comfy Org/FLUX.1 [schnell] Checkpoint model (fp8)",
+            "reference": "https://huggingface.co/Comfy-Org/flux1-dev/tree/main",
+            "save_path": "checkpoints/FLUX1",
+            "size": "17.2GB",
+            "type": "checkpoint",
+            "url": "https://huggingface.co/Comfy-Org/flux1-schnell/resolve/main/flux1-schnell-fp8.safetensors"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (f16/.gguf)",
+            "filename": "flux1-dev-F16.gguf",
+            "name": "city96/flux1-dev-F16.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_model/FLUX1",
+            "size": "23.8GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-F16.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q2_K/.gguf)",
+            "filename": "flux1-dev-Q2_K.gguf",
+            "name": "city96/flux1-dev-Q2_K.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "4.03GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q2_K.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q3_K_S/.gguf)",
+            "filename": "flux1-dev-Q3_K_S.gguf",
+            "name": "city96/flux1-dev-Q3_K_S.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "5.23GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q3_K_S.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q4_0/.gguf)",
+            "filename": "flux1-dev-Q4_0.gguf",
+            "name": "city96/flux1-dev-Q4_0.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "6.79GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q4_0.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q4_1/.gguf)",
+            "filename": "flux1-dev-Q4_1.gguf",
+            "name": "city96/flux1-dev-Q4_1.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "7.53GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q4_1.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q4_K_S/.gguf)",
+            "filename": "flux1-dev-Q4_K_S.gguf",
+            "name": "city96/flux1-dev-Q4_K_S.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "6.81GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q4_K_S.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q5_0/.gguf)",
+            "filename": "flux1-dev-Q5_0.gguf",
+            "name": "city96/flux1-dev-Q5_0.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "8.27GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q5_0.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q5_1/.gguf)",
+            "filename": "flux1-dev-Q5_1.gguf",
+            "name": "city96/flux1-dev-Q5_1.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "9.01GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q5_1.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q5_K_S/.gguf)",
+            "filename": "flux1-dev-Q5_K_S.gguf",
+            "name": "city96/flux1-dev-Q5_K_S.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "8.29GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q5_K_S.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q6_K/.gguf)",
+            "filename": "flux1-dev-Q6_K.gguf",
+            "name": "city96/flux1-dev-Q6_K.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "9.86GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q6_K.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q8_0/.gguf)",
+            "filename": "flux1-dev-Q8_0.gguf",
+            "name": "city96/flux1-dev-Q8_0.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "12.7GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q8_0.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (f16/.gguf)",
+            "filename": "flux1-schnell-F16.gguf",
+            "name": "city96/flux1-schnell-F16.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "23.8GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-F16.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q2_K/.gguf)",
+            "filename": "flux1-schnell-Q2_K.gguf",
+            "name": "city96/flux1-schnell-Q2_K.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "4.01GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q2_K.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q3_K_S/.gguf)",
+            "filename": "flux1-schnell-Q3_K_S.gguf",
+            "name": "city96/flux1-schnell-Q3_K_S.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "5.21GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q3_K_S.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q4_0/.gguf)",
+            "filename": "flux1-schnell-Q4_0.gguf",
+            "name": "city96/flux1-schnell-Q4_0.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "6.77GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q4_0.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q4_1/.gguf)",
+            "filename": "flux1-schnell-Q4_1.gguf",
+            "name": "city96/flux1-schnell-Q4_1.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "7.51GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q4_1.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q4_K_S/.gguf)",
+            "filename": "flux1-schnell-Q4_K_S.gguf",
+            "name": "city96/flux1-schnell-Q4_K_S.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "6.78GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q4_K_S.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q5_0/.gguf)",
+            "filename": "flux1-schnell-Q5_0.gguf",
+            "name": "city96/flux1-schnell-Q5_0.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "8.25GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q5_0.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q5_1/.gguf)",
+            "filename": "flux1-schnell-Q5_1.gguf",
+            "name": "city96/flux1-schnell-Q5_1.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "8.99GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q5_1.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q5_K_S/.gguf)",
+            "filename": "flux1-schnell-Q5_K_S.gguf",
+            "name": "city96/flux1-schnell-Q5_K_S.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "8.26GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q5_K_S.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q6_K/.gguf)",
+            "filename": "flux1-schnell-Q6_K.gguf",
+            "name": "city96/flux1-schnell-Q6_K.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "9.83GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q6_K.gguf"
+        },
+        {
+            "base": "FLUX.1",
+            "description": "FLUX.1 [Dev] Diffusion model (Q8_0/.gguf)",
+            "filename": "flux1-schnell-Q8_0.gguf",
+            "name": "city96/flux1-schnell-Q8_0.gguf",
+            "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+            "save_path": "diffusion_models/FLUX1",
+            "size": "12.7GB",
+            "type": "diffusion_model",
+            "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q8_0.gguf"
+        },
+        {
+            "base": "SegGPT",
+            "description": "SegGPT",
+            "filename": "seggpt_vit_large.pth",
+            "name": "BAAI/SegGPT",
+            "reference": "https://huggingface.co/BAAI/SegGPT",
+            "save_path": "custom_nodes/comfyui-SegGPT",
+            "size": "1.48GB",
+            "type": "SegGPT",
+            "url": "https://huggingface.co/BAAI/SegGPT/resolve/main/seggpt_vit_large.pth"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/746607195_github-stats.json b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/746607195_github-stats.json
new file mode 100644
index 0000000000000000000000000000000000000000..a493f77122b286ebe30701b8f86c637086686b81
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/746607195_github-stats.json
@@ -0,0 +1,6782 @@
+{
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+        "author_account_age_days": 313,
+        "last_update": "2024-07-17 01:24:59",
+        "stars": 13
+    },
+    "https://github.com/0xbitches/ComfyUI-LCM": {
+        "author_account_age_days": 613,
+        "last_update": "2023-11-11 21:24:33",
+        "stars": 250
+    },
+    "https://github.com/1038lab/ComfyUI-GPT2P": {
+        "author_account_age_days": 534,
+        "last_update": "2024-08-08 19:04:38",
+        "stars": 4
+    },
+    "https://github.com/11cafe/comfyui-workspace-manager": {
+        "author_account_age_days": 286,
+        "last_update": "2024-08-23 03:39:01",
+        "stars": 1018
+    },
+    "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant": {
+        "author_account_age_days": 207,
+        "last_update": "2024-08-02 05:24:19",
+        "stars": 30
+    },
+    "https://github.com/11dogzi/Comfyui-ergouzi-Nodes": {
+        "author_account_age_days": 207,
+        "last_update": "2024-08-23 12:04:09",
+        "stars": 47
+    },
+    "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan": {
+        "author_account_age_days": 207,
+        "last_update": "2024-08-23 00:36:39",
+        "stars": 27
+    },
+    "https://github.com/11dogzi/Comfyui-ergouzi-samplers": {
+        "author_account_age_days": 207,
+        "last_update": "2024-06-28 05:28:05",
+        "stars": 24
+    },
+    "https://github.com/1mckw/Comfyui-Gelbooru": {
+        "author_account_age_days": 771,
+        "last_update": "2024-08-08 08:38:19",
+        "stars": 3
+    },
+    "https://github.com/2kpr/ComfyUI-UltraPixel": {
+        "author_account_age_days": 1000,
+        "last_update": "2024-07-27 14:52:10",
+        "stars": 210
+    },
+    "https://github.com/42lux/ComfyUI-safety-checker": {
+        "author_account_age_days": 3780,
+        "last_update": "2024-05-22 22:11:59",
+        "stars": 24
+    },
+    "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner": {
+        "author_account_age_days": 495,
+        "last_update": "2024-06-13 05:51:56",
+        "stars": 23
+    },
+    "https://github.com/45uee/ComfyUI-Color_Transfer": {
+        "author_account_age_days": 2384,
+        "last_update": "2024-09-14 01:22:09",
+        "stars": 3
+    },
+    "https://github.com/54rt1n/ComfyUI-DareMerge": {
+        "author_account_age_days": 4132,
+        "last_update": "2024-08-01 15:28:19",
+        "stars": 61
+    },
+    "https://github.com/807502278/ComfyUI-3D-MeshTool": {
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+        "last_update": "2024-08-22 07:18:28",
+        "stars": 11
+    },
+    "https://github.com/80sVectorz/ComfyUI-Static-Primitives": {
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+        "last_update": "2024-08-07 11:21:06",
+        "stars": 11
+    },
+    "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp": {
+        "author_account_age_days": 554,
+        "last_update": "2024-05-23 00:26:10",
+        "stars": 1
+    },
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+        "last_update": "2024-06-02 14:57:59",
+        "stars": 7
+    },
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+        "author_account_age_days": 581,
+        "last_update": "2024-06-23 14:56:16",
+        "stars": 93
+    },
+    "https://github.com/AI2lab/comfyUI-DeepSeek-2lab": {
+        "author_account_age_days": 274,
+        "last_update": "2024-08-01 15:14:01",
+        "stars": 5
+    },
+    "https://github.com/AI2lab/comfyUI-siliconflow-api-2lab": {
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+        "last_update": "2024-08-01 15:13:33",
+        "stars": 4
+    },
+    "https://github.com/AI2lab/comfyUI-tool-2lab": {
+        "author_account_age_days": 274,
+        "last_update": "2024-09-09 16:48:41",
+        "stars": 19
+    },
+    "https://github.com/AIFSH/AniTalker-ComfyUI": {
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+        "last_update": "2024-08-06 03:08:44",
+        "stars": 6
+    },
+    "https://github.com/AIFSH/ComfyUI-3d-photo-inpainting": {
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+        "last_update": "2024-06-19 13:59:49",
+        "stars": 7
+    },
+    "https://github.com/AIFSH/ComfyUI-AuraSR": {
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+        "last_update": "2024-06-27 14:00:16",
+        "stars": 22
+    },
+    "https://github.com/AIFSH/ComfyUI-DiffSynth-Studio": {
+        "author_account_age_days": 313,
+        "last_update": "2024-08-05 08:48:03",
+        "stars": 55
+    },
+    "https://github.com/AIFSH/ComfyUI-FishSpeech": {
+        "author_account_age_days": 313,
+        "last_update": "2024-05-23 01:18:49",
+        "stars": 15
+    },
+    "https://github.com/AIFSH/ComfyUI-GPT_SoVITS": {
+        "author_account_age_days": 313,
+        "last_update": "2024-08-09 22:00:45",
+        "stars": 187
+    },
+    "https://github.com/AIFSH/ComfyUI-Hallo": {
+        "author_account_age_days": 313,
+        "last_update": "2024-06-24 06:43:23",
+        "stars": 255
+    },
+    "https://github.com/AIFSH/ComfyUI-I2V-Adapter": {
+        "author_account_age_days": 313,
+        "last_update": "2024-07-02 01:59:49",
+        "stars": 19
+    },
+    "https://github.com/AIFSH/ComfyUI-IP_LAP": {
+        "author_account_age_days": 313,
+        "last_update": "2024-06-14 07:05:39",
+        "stars": 28
+    },
+    "https://github.com/AIFSH/ComfyUI-Live2DViewer": {
+        "author_account_age_days": 313,
+        "last_update": "2024-06-14 07:04:49",
+        "stars": 4
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+        "last_update": "2024-06-11 02:36:48",
+        "stars": 9
+    },
+    "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime": {
+        "author_account_age_days": 4580,
+        "last_update": "2024-08-30 17:38:52",
+        "stars": 3
+    },
+    "https://github.com/xlinx/ComfyUI-decadetw-auto-prompt-llm": {
+        "author_account_age_days": 4580,
+        "last_update": "2024-08-30 17:39:03",
+        "stars": 7
+    },
+    "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj": {
+        "author_account_age_days": 4580,
+        "last_update": "2024-09-03 08:55:08",
+        "stars": 3
+    },
+    "https://github.com/xliry/ComfyUI_SendDiscord": {
+        "author_account_age_days": 1355,
+        "last_update": "2024-05-23 02:21:38",
+        "stars": 0
+    },
+    "https://github.com/xuhongming251/ComfyUI-GPEN": {
+        "author_account_age_days": 4187,
+        "last_update": "2024-06-15 14:33:37",
+        "stars": 1
+    },
+    "https://github.com/xuhongming251/ComfyUI-MuseTalkUtils": {
+        "author_account_age_days": 4187,
+        "last_update": "2024-06-15 14:32:32",
+        "stars": 14
+    },
+    "https://github.com/ycchanau/ComfyUI_Preview_Magnifier": {
+        "author_account_age_days": 2199,
+        "last_update": "2024-07-31 13:59:12",
+        "stars": 3
+    },
+    "https://github.com/yffyhk/comfyui_auto_danbooru": {
+        "author_account_age_days": 3803,
+        "last_update": "2024-05-22 23:23:03",
+        "stars": 1
+    },
+    "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux": {
+        "author_account_age_days": 652,
+        "last_update": "2024-08-24 12:40:06",
+        "stars": 2
+    },
+    "https://github.com/yiwangsimple/ComfyUI_DW_Chat": {
+        "author_account_age_days": 633,
+        "last_update": "2024-09-12 04:56:08",
+        "stars": 79
+    },
+    "https://github.com/yiwangsimple/ComfyUI_GroqChat": {
+        "author_account_age_days": 633,
+        "last_update": "2024-09-12 04:56:08",
+        "stars": 79
+    },
+    "https://github.com/yolain/ComfyUI-Easy-Use": {
+        "author_account_age_days": 1422,
+        "last_update": "2024-09-13 10:15:20",
+        "stars": 872
+    },
+    "https://github.com/yolanother/DTAIComfyImageSubmit": {
+        "author_account_age_days": 4945,
+        "last_update": "2024-08-16 02:34:51",
+        "stars": 1
+    },
+    "https://github.com/yolanother/DTAIComfyLoaders": {
+        "author_account_age_days": 4945,
+        "last_update": "2024-05-22 18:14:44",
+        "stars": 1
+    },
+    "https://github.com/yolanother/DTAIComfyPromptAgent": {
+        "author_account_age_days": 4945,
+        "last_update": "2024-05-22 18:14:18",
+        "stars": 5
+    },
+    "https://github.com/yolanother/DTAIComfyQRCodes": {
+        "author_account_age_days": 4945,
+        "last_update": "2024-05-22 18:15:09",
+        "stars": 2
+    },
+    "https://github.com/yolanother/DTAIComfyVariables": {
+        "author_account_age_days": 4945,
+        "last_update": "2024-05-22 18:15:21",
+        "stars": 9
+    },
+    "https://github.com/yolanother/DTAIImageToTextNode": {
+        "author_account_age_days": 4945,
+        "last_update": "2024-05-22 18:14:31",
+        "stars": 16
+    },
+    "https://github.com/youyegit/tdxh_node_comfyui": {
+        "author_account_age_days": 510,
+        "last_update": "2024-08-02 09:47:45",
+        "stars": 3
+    },
+    "https://github.com/yuan199696/add_text_2_img": {
+        "author_account_age_days": 2524,
+        "last_update": "2024-08-15 02:51:45",
+        "stars": 1
+    },
+    "https://github.com/yuan199696/chinese_clip_encode": {
+        "author_account_age_days": 2524,
+        "last_update": "2024-08-15 02:47:23",
+        "stars": 2
+    },
+    "https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt": {
+        "author_account_age_days": 2234,
+        "last_update": "2024-07-02 08:09:45",
+        "stars": 76
+    },
+    "https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt": {
+        "author_account_age_days": 2234,
+        "last_update": "2024-08-14 04:00:22",
+        "stars": 18
+    },
+    "https://github.com/yuvraj108c/ComfyUI-PiperTTS": {
+        "author_account_age_days": 2234,
+        "last_update": "2024-05-22 23:17:27",
+        "stars": 28
+    },
+    "https://github.com/yuvraj108c/ComfyUI-Pronodes": {
+        "author_account_age_days": 2234,
+        "last_update": "2024-05-22 23:16:51",
+        "stars": 1
+    },
+    "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt": {
+        "author_account_age_days": 2234,
+        "last_update": "2024-08-12 10:56:15",
+        "stars": 55
+    },
+    "https://github.com/yuvraj108c/ComfyUI-Vsgan": {
+        "author_account_age_days": 2234,
+        "last_update": "2024-05-22 23:17:02",
+        "stars": 2
+    },
+    "https://github.com/yuvraj108c/ComfyUI-Whisper": {
+        "author_account_age_days": 2234,
+        "last_update": "2024-08-06 05:31:10",
+        "stars": 65
+    },
+    "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt": {
+        "author_account_age_days": 2234,
+        "last_update": "2024-06-28 15:59:14",
+        "stars": 8
+    },
+    "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes": {
+        "author_account_age_days": 670,
+        "last_update": "2024-07-31 13:52:30",
+        "stars": 4
+    },
+    "https://github.com/zcfrank1st/Comfyui-Toolbox": {
+        "author_account_age_days": 4497,
+        "last_update": "2024-05-22 22:08:07",
+        "stars": 5
+    },
+    "https://github.com/zcfrank1st/Comfyui-Yolov8": {
+        "author_account_age_days": 4497,
+        "last_update": "2024-06-14 07:08:40",
+        "stars": 19
+    },
+    "https://github.com/zcfrank1st/comfyui_visual_anagrams": {
+        "author_account_age_days": 4497,
+        "last_update": "2024-06-14 07:07:27",
+        "stars": 5
+    },
+    "https://github.com/zer0TF/cute-comfy": {
+        "author_account_age_days": 2752,
+        "last_update": "2024-05-22 21:18:53",
+        "stars": 31
+    },
+    "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer": {
+        "author_account_age_days": 2525,
+        "last_update": "2024-08-15 03:56:51",
+        "stars": 66
+    },
+    "https://github.com/zfkun/ComfyUI_zfkun": {
+        "author_account_age_days": 4944,
+        "last_update": "2024-05-27 11:21:51",
+        "stars": 19
+    },
+    "https://github.com/zhangp365/ComfyUI-utils-nodes": {
+        "author_account_age_days": 373,
+        "last_update": "2024-09-10 01:30:06",
+        "stars": 18
+    },
+    "https://github.com/zhiselfly/ComfyUI-Alimama-ControlNet-compatible": {
+        "author_account_age_days": 3431,
+        "last_update": "2024-09-14 02:28:10",
+        "stars": 2
+    },
+    "https://github.com/zhongpei/ComfyUI-InstructIR": {
+        "author_account_age_days": 3540,
+        "last_update": "2024-05-22 23:19:43",
+        "stars": 64
+    },
+    "https://github.com/zhongpei/Comfyui_image2prompt": {
+        "author_account_age_days": 3540,
+        "last_update": "2024-05-22 23:19:30",
+        "stars": 280
+    },
+    "https://github.com/zhuanqianfish/ComfyUI-EasyNode": {
+        "author_account_age_days": 4316,
+        "last_update": "2024-06-14 07:10:18",
+        "stars": 61
+    },
+    "https://github.com/zhulu111/ComfyUI_Bxb": {
+        "author_account_age_days": 121,
+        "last_update": "2024-09-12 09:04:20",
+        "stars": 1008
+    },
+    "https://github.com/zohac/ComfyUI_ZC_DrawShape": {
+        "author_account_age_days": 2743,
+        "last_update": "2024-06-25 15:05:28",
+        "stars": 3
+    },
+    "https://github.com/zombieyang/sd-ppp": {
+        "author_account_age_days": 3999,
+        "last_update": "2024-09-14 04:50:37",
+        "stars": 117
+    }
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/.github/workflows/publish.yml b/ComfyUI/custom_nodes/ComfyUI-Manager/.github/workflows/publish.yml
new file mode 100644
index 0000000000000000000000000000000000000000..828f300203c628d32100495bfc3c1f2a94eead55
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/.github/workflows/publish.yml
@@ -0,0 +1,21 @@
+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+    paths:
+      - "pyproject.toml"
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          ## Add your own personal access token to your Github Repository secrets and reference it here.
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/.gitignore b/ComfyUI/custom_nodes/ComfyUI-Manager/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..fb07dcff2fab505114bf02098fe4af922df0a046
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/.gitignore
@@ -0,0 +1,17 @@
+__pycache__/
+.idea/
+.vscode/
+.tmp
+.cache
+config.ini
+snapshots/**
+startup-scripts/**
+.openart_key
+.youml
+matrix_auth
+channels.list
+comfyworkflows_sharekey
+github-stats-cache.json
+pip_overrides.json
+*.json
+check2.sh
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/LICENSE.txt b/ComfyUI/custom_nodes/ComfyUI-Manager/LICENSE.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f288702d2fa16d3cdf0035b15a9fcbc552cd88e7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/LICENSE.txt
@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights.  Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
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+know their rights.
+
+  Developers that use the GNU GPL protect your rights with two steps:
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+  For the developers' and authors' protection, the GPL clearly explains
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diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/README.md b/ComfyUI/custom_nodes/ComfyUI-Manager/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..51a47c3d72f76077fd0c79e0b1ef85bb2f262357
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/README.md
@@ -0,0 +1,422 @@
+# ComfyUI Manager
+
+**ComfyUI-Manager** is an extension designed to enhance the usability of [ComfyUI](https://github.com/comfyanonymous/ComfyUI). It offers management functions to **install, remove, disable, and enable** various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI.
+
+![menu](misc/menu.jpg)
+
+## NOTICE
+* V2.48.1: Security policy has been changed. Downloads of models in the list are allowed under the 'normal' security level.
+* V2.47: Security policy has been changed. The former 'normal' is now 'normal-', and 'normal' no longer allows high-risk features, even if your ComfyUI is local.
+* V2.37 Show a ✅ mark to accounts that have been active on GitHub for more than six months.
+* V2.33 Security policy is applied.
+* V2.21 [cm-cli](docs/en/cm-cli.md) tool is added.
+* V2.18 to V2.18.3 is not functioning due to a severe bug. Users on these versions are advised to promptly update to V2.18.4. Please navigate to the `ComfyUI/custom_nodes/ComfyUI-Manager` directory and execute `git pull` to update.
+* You can see whole nodes info on [ComfyUI Nodes Info](https://ltdrdata.github.io/) page.
+
+## Installation
+
+### Installation[method1] (General installation method: ComfyUI-Manager only)
+
+To install ComfyUI-Manager in addition to an existing installation of ComfyUI, you can follow the following steps:
+
+1. goto `ComfyUI/custom_nodes` dir in terminal(cmd)
+2. `git clone https://github.com/ltdrdata/ComfyUI-Manager.git`
+3. Restart ComfyUI
+
+
+### Installation[method2] (Installation for portable ComfyUI version: ComfyUI-Manager only)
+1. install git 
+- https://git-scm.com/download/win
+- standalone version  
+- select option: use windows default console window
+2. Download [scripts/install-manager-for-portable-version.bat](https://github.com/ltdrdata/ComfyUI-Manager/raw/main/scripts/install-manager-for-portable-version.bat) into installed `"ComfyUI_windows_portable"` directory
+3. double click `install-manager-for-portable-version.bat` batch file
+
+![portable-install](misc/portable-install.png)
+
+
+### Installation[method3] (Installation through comfy-cli: install ComfyUI and ComfyUI-Manager at once.)  
+> RECOMMENDED: comfy-cli provides various features to manage ComfyUI from the CLI.
+
+* **prerequisite: python 3, git**
+
+Windows:
+```commandline
+python -m venv venv
+venv\Scripts\activate
+pip install comfy-cli
+comfy install
+```
+
+Linux/OSX:
+```commandline
+python -m venv venv
+. venv/bin/activate
+pip install comfy-cli
+comfy install
+```
+
+
+### Installation[method4] (Installation for linux+venv: ComfyUI + ComfyUI-Manager)
+
+To install ComfyUI with ComfyUI-Manager on Linux using a venv environment, you can follow these steps:
+* **prerequisite: python-is-python3, python3-venv, git**
+
+1. Download [scripts/install-comfyui-venv-linux.sh](https://github.com/ltdrdata/ComfyUI-Manager/raw/main/scripts/install-comfyui-venv-linux.sh) into empty install directory
+- ComfyUI will be installed in the subdirectory of the specified directory, and the directory will contain the generated executable script.
+2. `chmod +x install-comfyui-venv-linux.sh`
+3. `./install-comfyui-venv-linux.sh`
+
+### Installation Precautions
+* **DO**: `ComfyUI-Manager` files must be accurately located in the path `ComfyUI/custom_nodes/ComfyUI-Manager`
+  * Installing in a compressed file format is not recommended.
+* **DON'T**: Decompress directly into the `ComfyUI/custom_nodes` location, resulting in the Manager contents like `__init__.py` being placed directly in that directory.
+  * You have to remove all ComfyUI-Manager files from `ComfyUI/custom_nodes`
+* **DON'T**: In a form where decompression occurs in a path such as `ComfyUI/custom_nodes/ComfyUI-Manager/ComfyUI-Manager`.
+  * You have to move `ComfyUI/custom_nodes/ComfyUI-Manager/ComfyUI-Manager` to `ComfyUI/custom_nodes/ComfyUI-Manager`
+* **DON'T**: In a form where decompression occurs in a path such as `ComfyUI/custom_nodes/ComfyUI-Manager-main`.
+  * In such cases, `ComfyUI-Manager` may operate, but it won't be recognized within `ComfyUI-Manager`, and updates cannot be performed. It also poses the risk of duplicate installations.
+  * You have to rename `ComfyUI/custom_nodes/ComfyUI-Manager-main` to `ComfyUI/custom_nodes/ComfyUI-Manager`
+
+
+You can execute ComfyUI by running either `./run_gpu.sh` or `./run_cpu.sh` depending on your system configuration.
+
+## Colab Notebook
+This repository provides Colab notebooks that allow you to install and use ComfyUI, including ComfyUI-Manager. To use ComfyUI, [click on this link](https://colab.research.google.com/github/ltdrdata/ComfyUI-Manager/blob/main/notebooks/comfyui_colab_with_manager.ipynb).
+* Support for installing ComfyUI
+* Support for basic installation of ComfyUI-Manager
+* Support for automatically installing dependencies of custom nodes upon restarting Colab notebooks.
+
+## Changes
+* **2.38** `Install Custom Nodes` menu is changed to `Custom Nodes Manager`.
+* **2.21** [cm-cli](docs/en/cm-cli.md) tool is added.
+* **2.4** Copy the connections of the nearest node by double-clicking.
+* **2.2.3** Support Components System
+* **0.29** Add `Update all` feature
+* **0.25** support db channel
+  * You can directly modify the db channel settings in the `config.ini` file.
+  * If you want to maintain a new DB channel, please modify the `channels.list` and submit a PR.
+* **0.23** support multiple selection
+* **0.18.1** `skip update check` feature added.
+  * A feature that allows quickly opening windows in environments where update checks take a long time.
+* **0.17.1** Bug fix for the issue where enable/disable of the web extension was not working. Compatibility patch for StableSwarmUI.
+  * Requires latest version of ComfyUI (Revision: 1240)
+* **0.17** Support preview method setting feature.
+* **0.14** Support robust update.
+* **0.13** Support additional 'pip' section for install spec.
+* **0.12** Better installation support for Windows.
+* **0.9** Support keyword search in installer menu.
+* **V0.7.1** Bug fix for the issue where updates were not being applied on Windows.
+  * **For those who have been using versions 0.6, please perform a manual git pull in the custom_nodes/ComfyUI-Manager directory.**
+* **V0.7** To address the issue of a slow list refresh, separate the fetch update and update check processes.
+* **V0.6** Support extension installation for missing nodes.
+* **V0.5** Removed external git program dependencies.
+
+
+## How To Use
+
+1. Click "Manager" button on main menu
+
+    ![mainmenu](misc/main.jpg)
+
+
+2. If you click on 'Install Custom Nodes' or 'Install Models', an installer dialog will open.
+
+    ![menu](misc/menu.jpg)
+
+    * There are three DB modes: `DB: Channel (1day cache)`, `DB: Local`, and `DB: Channel (remote)`. 
+      * `Channel (1day cache)` utilizes Channel cache information with a validity period of one day to quickly display the list.
+        * This information will be updated when there is no cache, when the cache expires, or when external information is retrieved through the Channel (remote).
+        * Whenever you start ComfyUI anew, this mode is always set as the **default** mode.
+      * `Local` uses information stored locally in ComfyUI-Manager.
+        * This information will be updated only when you update ComfyUI-Manager.
+        * For custom node developers, they should use this mode when registering their nodes in `custom-node-list.json` and testing them.
+      * `Channel (remote)` retrieves information from the remote channel, always displaying the latest list.
+      * In cases where retrieval is not possible due to network errors, it will forcibly use local information.
+
+    * The ```Fetch Updates``` menu retrieves update data for custom nodes locally. Actual updates are applied by clicking the ```Update``` button in the ```Install Custom Nodes``` menu.
+
+3. Click 'Install' or 'Try Install' button.
+
+    ![node-install-dialog](misc/custom-nodes.jpg)
+
+    ![model-install-dialog](misc/models.png)
+
+    * Installed: This item is already installed.
+    * Install: Clicking this button will install the item.
+    * Try Install: This is a custom node of which installation information cannot be confirmed. Click the button to try installing it.
+
+    * If a red background `Channel` indicator appears at the top, it means it is not the default channel. Since the amount of information held is different from the default channel, many custom nodes may not appear in this channel state.
+      * Channel settings have a broad impact, affecting not only the node list but also all functions like "Update all."
+    * Conflicted Nodes with a yellow background show a list of nodes conflicting with other extensions in the respective extension. This issue needs to be addressed by the developer, and users should be aware that due to these conflicts, some nodes may not function correctly and may need to be installed accordingly.
+
+4. If you set the `Badge:` item in the menu as `Badge: Nickname`, `Badge: Nickname (hide built-in)`, `Badge: #ID Nickname`, `Badge: #ID Nickname (hide built-in)` the information badge will be displayed on the node.
+    * When selecting (hide built-in), it hides the 🦊 icon, which signifies built-in nodes.
+      * Nodes without any indication on the badge are custom nodes that Manager cannot recognize.
+    * `Badge: Nickname` displays the nickname of custom nodes, while `Badge: #ID Nickname` also includes the internal ID of the node.
+
+    ![model-install-dialog](misc/nickname.jpg)
+
+
+5. Share
+  ![menu](misc/main.jpg) ![share](misc/share.jpg) 
+
+  * You can share the workflow by clicking the Share button at the bottom of the main menu or selecting Share Output from the Context Menu of the Image node.
+  * Currently, it supports sharing via [https://comfyworkflows.com/](https://comfyworkflows.com/),
+    [https://openart.ai](https://openart.ai/workflows/dev), [https://youml.com](https://youml.com) 
+    as well as through the Matrix channel.
+
+  ![menu](misc/share-setting.jpg)
+  
+  * Through the Share settings in the Manager menu, you can configure the behavior of the Share button in the Main menu or Share Ouput button on Context Menu.
+    * `None`: hide from Main menu
+    * `All`: Show a dialog where the user can select a title for sharing.
+
+
+## Snapshot-Manager
+* When you press `Save snapshot` or use `Update All` on `Manager Menu`, the current installation status snapshot is saved.
+  * Snapshot file dir: `ComfyUI-Manager/snapshots`
+  * You can rename snapshot file.
+* Press the "Restore" button to revert to the installation status of the respective snapshot.
+  * However, for custom nodes not managed by Git, snapshot support is incomplete.
+* When you press `Restore`, it will take effect on the next ComfyUI startup.
+  * The selected snapshot file is saved in `ComfyUI-Manager/startup-scripts/restore-snapshot.json`, and upon restarting ComfyUI, the snapshot is applied and then deleted.
+
+![model-install-dialog](misc/snapshot.jpg)
+
+
+## cm-cli: command line tools for power user
+* A tool is provided that allows you to use the features of ComfyUI-Manager without running ComfyUI.
+* For more details, please refer to the [cm-cli documentation](docs/en/cm-cli.md).
+
+
+## How to register your custom node into ComfyUI-Manager
+
+* Add an entry to `custom-node-list.json` located in the root of ComfyUI-Manager and submit a Pull Request.
+* NOTE: Before submitting the PR after making changes, please check `Use local DB` and ensure that the extension list loads without any issues in the `Install custom nodes` dialog. Occasionally, missing or extra commas can lead to JSON syntax errors.
+* The remaining JSON will be updated through scripts in the future, so you don't need to worry about it.
+
+
+## Custom node support guide
+
+* Currently, the system operates by cloning the git repository and sequentially installing the dependencies listed in requirements.txt using pip, followed by invoking the install.py script. In the future, we plan to discuss and determine the specifications for supporting custom nodes.
+
+* Please submit a pull request to update either the custom-node-list.json or model-list.json file.
+
+* The scanner currently provides a detection function for missing nodes, which is capable of detecting nodes described by the following two patterns.
+  * Or you can provide manually `node_list.json` file.
+
+```
+NODE_CLASS_MAPPINGS = {
+    "ExecutionSwitch": ExecutionSwitch,
+    "ExecutionBlocker": ExecutionBlocker,
+    ...
+}
+
+NODE_CLASS_MAPPINGS.update({
+    "UniFormer-SemSegPreprocessor": Uniformer_SemSegPreprocessor,
+    "SemSegPreprocessor": Uniformer_SemSegPreprocessor,
+})
+```
+
+* When you write a docstring in the header of the .py file for the Node as follows, it will be used for managing the database in the Manager.
+  * Currently, only the `nickname` is being used, but other parts will also be utilized in the future.
+  * The `nickname` will be the name displayed on the badge of the node.
+  * If there is no `nickname`, it will be truncated to 20 characters from the arbitrarily written title and used.
+```
+"""
+@author: Dr.Lt.Data
+@title: Impact Pack
+@nickname: Impact Pack
+@description: This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler.
+"""
+```
+
+
+* **Special purpose files** (optional)
+  * `node_list.json` - When your custom nodes pattern of NODE_CLASS_MAPPINGS is not conventional, it is used to manually provide a list of nodes for reference. ([example](https://github.com/melMass/comfy_mtb/raw/main/node_list.json))
+  * `requirements.txt` - When installing, this pip requirements will be installed automatically 
+  * `install.py` - When installing, it is automatically called
+  * `uninstall.py` - When uninstalling, it is automatically called
+  * `disable.py` - When disabled, it is automatically called
+    * When installing a custom node setup `.js` file, it is recommended to write this script for disabling.
+  * `enable.py` - When enabled, it is automatically called
+  * **All scripts are executed from the root path of the corresponding custom node.**
+
+
+## Component Sharing
+* **Copy & Paste**
+  * [Demo Page](https://ltdrdata.github.io/component-demo/)
+  * When pasting a component from the clipboard, it supports text in the following JSON format. (text/plain)
+    ```
+    {
+      "kind": "ComfyUI Components",
+      "timestamp": <current timestamp>,
+      "components": 
+        {
+          <component name>: <component nodedata>
+        }
+    }
+    ```
+  * `<current timestamp>` Ensure that the timestamp is always unique.
+    * "components" should have the same structure as the content of the file stored in ComfyUI-Manager/components.
+      * `<component name>`: The name should be in the format `<prefix>::<node name>`.
+        * `<compnent nodeata>`: In the nodedata of the group node.
+          * `<version>`: Only two formats are allowed: `major.minor.patch` or `major.minor`. (e.g. `1.0`, `2.2.1`)
+          * `<datetime>`: Saved time
+          * `<packname>`: If the packname is not empty, the category becomes packname/workflow, and it is saved in the <packname>.pack file in ComfyUI-Manager/components.
+          * `<category>`: If there is neither a category nor a packname, it is saved in the components category.
+          ```
+              "version":"1.0",
+              "datetime": 1705390656516,
+              "packname": "mypack",
+              "category": "util/pipe",
+          ```
+* **Drag & Drop**
+  * Dragging and dropping a `.pack` or `.json` file will add the corresponding components.
+  * Example pack: [Impact.pack](misc/Impact.pack)
+
+* Dragging and dropping or pasting a single component will add a node. However, when adding multiple components, nodes will not be added.
+
+
+## Support of missing nodes installation
+
+![missing-menu](misc/missing-menu.jpg)
+
+* When you click on the ```Install Missing Custom Nodes``` button in the menu, it displays a list of extension nodes that contain nodes not currently present in the workflow.
+
+![missing-list](misc/missing-list.jpg)
+
+
+## Additional Feature
+* Logging to file feature
+  * This feature is enabled by default and can be disabled by setting `file_logging = False` in the `config.ini`.
+
+* Fix node(recreate): When right-clicking on a node and selecting `Fix node (recreate)`, you can recreate the node. The widget's values are reset, while the connections maintain those with the same names.
+  * It is used to correct errors in nodes of old workflows created before, which are incompatible with the version changes of custom nodes.
+
+* Double-Click Node Title: You can set the double click behavior of nodes in the ComfyUI-Manager menu.
+  * `Copy All Connections`, `Copy Input Connections`: Double-clicking a node copies the connections of the nearest node.
+    * This action targets the nearest node within a straight-line distance of 1000 pixels from the center of the node.
+    * In the case of `Copy All Connections`, it duplicates existing outputs, but since it does not allow duplicate connections, the existing output connections of the original node are disconnected.
+    * This feature copies only the input and output that match the names.
+  
+  * `Possible Input Connections`: It connects all outputs that match the closest type within the specified range.
+    * This connection links to the closest outputs among the nodes located on the left side of the target node.
+    
+  * `Possible(left) + Copy(right)`: When you Double-Click on the left half of the title, it operates as `Possible Input Connections`, and when you Double-Click on the right half, it operates as `Copy All Connections`.
+
+* Prevent downgrade of specific packages
+  * List the package names in the `downgrade_blacklist` section of the `config.ini` file, separating them with commas.
+    * e.g
+    ```
+      downgrade_blacklist = diffusers, kornia
+    ```
+
+* Custom pip mapping
+  * When you create the `pip_overrides.json` file, it changes the installation of specific pip packages to installations defined by the user.
+    * Please refer to the `pip_overrides.json.template` file.
+    
+* Use `aria2` as downloader
+  * [howto](docs/en/use_aria2.md)
+
+## Scanner
+When you run the `scan.sh` script:
+
+* It updates the `extension-node-map.json`.
+  * To do this, it pulls or clones the custom nodes listed in `custom-node-list.json` into `~/.tmp/default`.
+  * To skip this step, add the `--skip-update` option.
+  * If you want to specify a different path instead of `~/.tmp/default`, run `python scanner.py [path]` directly instead of `scan.sh`.
+
+* It updates the `github-stats.json`.
+  * This uses the GitHub API, so set your token with `export GITHUB_TOKEN=your_token_here` to avoid quickly reaching the rate limit and malfunctioning.
+  * To skip this step, add the `--skip-update-stat` option.
+
+* The `--skip-all` option applies both `--skip-update` and `--skip-stat-update`.
+
+
+## Troubleshooting
+* If your `git.exe` is installed in a specific location other than system git, please install ComfyUI-Manager and run ComfyUI. Then, specify the path including the file name in `git_exe = ` in the ComfyUI-Manager/config.ini file that is generated.
+* If updating ComfyUI-Manager itself fails, please go to the **ComfyUI-Manager** directory and execute the command `git update-ref refs/remotes/origin/main a361cc1 && git fetch --all && git pull`.
+ * Alternatively, download the update-fix.py script from [update-fix.py](https://github.com/ltdrdata/ComfyUI-Manager/raw/main/scripts/update-fix.py) and place it in the ComfyUI-Manager directory. Then, run it using your Python command.
+   For the portable version, use `..\..\..\python_embeded\python.exe update-fix.py`.
+* For cases where nodes like `PreviewTextNode` from `ComfyUI_Custom_Nodes_AlekPet` are only supported as front-end nodes, we currently do not provide missing nodes for them.
+* Currently, `vid2vid` is not being updated, causing compatibility issues.
+* If you encounter the error message `Overlapped Object has pending operation at deallocation on Comfyui Manager load` under Windows
+  * Edit `config.ini` file: add `windows_selector_event_loop_policy = True`
+* if `SSL: CERTIFICATE_VERIFY_FAILED` error is occured.
+  * Edit `config.ini` file: add `bypass_ssl = True`
+
+## Security policy
+  * Edit `config.ini` file: add `security_level = <LEVEL>`
+    * `strong`
+      * doesn't allow `high` and `middle` level risky feature
+    * `normal`
+      * doesn't allow `high` level risky feature
+      * `middle` level risky feature is available
+    * `normal-`
+      * doesn't allow `high` level risky feature if `--listen` is specified and not starts with `127.`
+      * `middle` level risky feature is available
+    * `weak`
+      * all feature is available
+    
+  * `high` level risky features
+    * `Install via git url`, `pip install`
+    * Installation of custom nodes registered not in the `default channel`.
+    * Display terminal log
+  
+  * `middle` level risky features
+    * Uninstall/Update/Fix custom nodes
+    * Installation of custom nodes registered in the `default channel`.
+    * Restore/Remove Snapshot
+    * Restart
+  
+  * `low` level risky features
+    * Update ComfyUI
+
+
+## TODO: Unconventional form of custom node list
+
+* https://github.com/diontimmer/Sample-Diffusion-ComfyUI-Extension
+* https://github.com/senshilabs/NINJA-plugin
+* https://github.com/MockbaTheBorg/Nodes
+* https://github.com/StartHua/Comfyui_GPT_Story
+* https://github.com/NielsGercama/comfyui_customsampling
+* https://github.com/wrightdaniel2017/ComfyUI-VideoLipSync
+* https://github.com/bxdsjs/ComfyUI-Image-preprocessing
+* https://github.com/SMUELDigital/ComfyUI-ONSET
+* https://github.com/SimithWang/comfyui-renameImages
+* https://github.com/icefairy64/comfyui-model-tilt
+* https://github.com/andrewharp/ComfyUI-EasyNodes
+* https://github.com/SimithWang/comfyui-renameImages
+* https://github.com/Tcheko243/ComfyUI-Photographer-Alpha7-Nodes
+* https://github.com/Limbicnation/ComfyUINodeToolbox
+* https://github.com/chenpipi0807/pip_longsize
+* https://github.com/APZmedia/ComfyUI-APZmedia-srtTools
+
+## Roadmap
+
+- [x] System displaying information about failed custom nodes import.
+- [x] Guide for missing nodes in ComfyUI vanilla nodes.
+- [x] Collision checking system for nodes with the same ID across extensions.
+- [x] Template sharing system. (-> Component system based on Group Nodes)
+- [x] 3rd party API system.
+- [ ] Auto migration for custom nodes with changed structures.
+- [ ] Version control feature for nodes.
+- [ ] List of currently used custom nodes.
+- [x] Download support multiple model download.
+- [x] Model download via url.
+- [x] List sorting (custom nodes).
+- [x] List sorting (model).
+- [ ] Provides description of node.
+
+
+# Disclaimer
+
+* This extension simply provides the convenience of installing custom nodes and does not guarantee their proper functioning.
+
+
+## Credit
+ComfyUI/[ComfyUI](https://github.com/comfyanonymous/ComfyUI) - A powerful and modular stable diffusion GUI.
+
+**And, for all ComfyUI custom node developers**
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/__init__.py b/ComfyUI/custom_nodes/ComfyUI-Manager/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..728a4a0ea0a55464e8dbb9110649bf424ffa53f6
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/__init__.py
@@ -0,0 +1,16 @@
+import os
+
+cli_mode_flag = os.path.join(os.path.dirname(__file__), '.enable-cli-only-mode')
+
+if not os.path.exists(cli_mode_flag):
+    from .glob import manager_server
+    from .glob import share_3rdparty
+    WEB_DIRECTORY = "js"
+else:
+    print(f"\n[ComfyUI-Manager] !! cli-only-mode is enabled !!\n")
+
+NODE_CLASS_MAPPINGS = {}
+__all__ = ['NODE_CLASS_MAPPINGS']
+
+
+
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diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/alter-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/alter-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..33398277e06631225ae609196d79c260a7849963
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/alter-list.json
@@ -0,0 +1,224 @@
+{
+   "items": [
+     {
+       "id":"https://github.com/Fannovel16/comfyui_controlnet_aux",
+       "tags":"controlnet",
+       "description": "This extension provides preprocessor nodes for using controlnet."
+     },
+     {
+       "id":"https://github.com/comfyanonymous/ComfyUI_experiments",
+       "tags":"Dynamic Thresholding, DT, CFG, controlnet, reference only",
+       "description": "This experimental nodes contains a 'Reference Only' node and a 'ModelSamplerTonemapNoiseTest' node corresponding to the 'Dynamic Threshold'."
+     },
+     {
+       "id":"https://github.com/ltdrdata/ComfyUI-Impact-Pack",
+       "tags":"ddetailer, adetailer, ddsd, DD, loopback scaler, prompt, wildcard, dynamic prompt",
+       "description": "To implement the feature of automatically detecting faces and enhancing details, various detection nodes and detailers provided by the Impact Pack can be applied. Similarly to Loopback Scaler, it also provides various custom workflows that can apply Ksampler while gradually scaling up."
+     },
+     {
+       "id":"https://github.com/ltdrdata/ComfyUI-Inspire-Pack",
+       "tags":"lora block weight, effective block analyzer, lbw, variation seed",
+       "description": "The Inspire Pack provides the functionality of Lora Block Weight, Variation Seed."
+     },
+     {
+       "id":"https://github.com/biegert/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py",
+       "tags":"ddsd",
+       "description": "This extension provides a feature that generates segment masks on an image using a text prompt. When used in conjunction with Impact Pack, it enables applications such as DDSD."
+     },
+     {
+       "id":"https://github.com/BadCafeCode/masquerade-nodes-comfyui",
+       "tags":"ddetailer",
+       "description": "This extension is a less feature-rich and well-maintained alternative to Impact Pack, but it has fewer dependencies and may be easier to install on abnormal configurations. The author recommends trying Impact Pack first."
+     },
+     {
+       "id":"https://github.com/BlenderNeko/ComfyUI_Cutoff",
+       "tags":"cutoff",
+       "description": "By using this extension, prompts like 'blue hair' can be prevented from interfering with other prompts by blocking the attribute 'blue' from being used in prompts other than 'hair'."
+     },
+     {
+       "id":"https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb",
+       "tags":"prompt, weight",
+       "description": "There are differences in the processing methods of prompts, such as weighting and scheduling, between A1111 and ComfyUI. With this extension, various settings can be used to implement prompt processing methods similar to A1111. As this feature is also integrated into ComfyUI Cutoff, please download the Cutoff extension if you plan to use it in conjunction with Cutoff."
+     },
+     {
+       "id":"https://github.com/shiimizu/ComfyUI_smZNodes",
+       "tags":"prompt, weight",
+       "description": "There are differences in the processing methods of prompts, such as weighting and scheduling, between A1111 and ComfyUI. This extension helps to reproduce the same embedding as A1111."
+     },
+     {
+       "id":"https://github.com/BlenderNeko/ComfyUI_Noise",
+       "tags":"img2img alt, random",
+       "description": "The extension provides an unsampler that reverses the sampling process, allowing for a function similar to img2img alt to be implemented. Furthermore, ComfyUI uses CPU's Random instead of GPU's Random for better reproducibility compared to A1111. This extension provides the ability to use GPU's Random for Latent Noise. However, since GPU's Random may vary depending on the GPU model, reproducibility on different devices cannot be guaranteed."
+     },
+     {
+       "id":"https://github.com/BlenderNeko/ComfyUI_SeeCoder",
+       "tags":"seecoder, prompt-free-diffusion",
+       "description": "The extension provides seecoder feature."
+     },
+     {
+       "id":"https://github.com/lilly1987/ComfyUI_node_Lilly",
+       "tags":"prompt, wildcard",
+       "description": "This extension provides features such as a wildcard function that randomly selects prompts belonging to a category and the ability to directly load lora from prompts."
+     },
+     {
+       "id":"https://github.com/Davemane42/ComfyUI_Dave_CustomNode",
+       "tags":"latent couple",
+       "description": "ComfyUI already provides the ability to composite latents by default. However, this extension makes it more convenient to use by visualizing the composite area."
+     },
+     {
+       "id":"https://github.com/LEv145/images-grid-comfy-plugin",
+       "tags":"X/Y Plot",
+       "description": "This tool provides a viewer node that allows for checking multiple outputs in a grid, similar to the X/Y Plot extension."
+     },
+     {
+       "id":"https://github.com/pythongosssss/ComfyUI-WD14-Tagger",
+       "tags":"deepbooru, clip interrogation",
+       "description": "This extension generates clip text by taking an image as input and using the Deepbooru model."
+     },
+     {
+       "id":"https://github.com/szhublox/ambw_comfyui",
+       "tags":"supermerger",
+       "description": "This node takes two models, merges individual blocks together at various ratios, and automatically rates each merge, keeping the ratio with the highest score. "
+     },
+     {
+       "id":"https://github.com/ssitu/ComfyUI_UltimateSDUpscale",
+       "tags":"upscaler, Ultimate SD Upscale",
+       "description": "ComfyUI nodes for the Ultimate Stable Diffusion Upscale script by Coyote-A. Uses the same script used in the A1111 extension to hopefully replicate images generated using the A1111 webui."
+     },
+     {
+       "id":"https://github.com/dawangraoming/ComfyUI_ksampler_gpu/raw/main/ksampler_gpu.py",
+       "tags":"random, noise",
+       "description": "A1111 provides KSampler that uses GPU-based random noise. This extension offers KSampler utilizing GPU-based random noise."
+     },
+     {
+       "id":"https://github.com/space-nuko/nui-suite",
+       "tags":"prompt, dynamic prompt",
+       "description": "This extension provides nodes with the functionality of dynamic prompts."
+     },
+     {
+       "id":"https://github.com/melMass/comfy_mtb",
+       "tags":"roop",
+       "description": "This extension provides bunch of nodes including roop"
+     },
+     {
+       "id":"https://github.com/ssitu/ComfyUI_roop",
+       "tags":"roop",
+       "description": "This extension provides nodes for the roop A1111 webui script."
+     },
+     {
+       "id":"https://github.com/asagi4/comfyui-prompt-control",
+       "tags":"prompt, prompt editing",
+       "description": "This extension provides the ability to use prompts like \n\n**a [large::0.1] [cat|dog:0.05] [<lora:somelora:0.5:0.6>::0.5] [in a park:in space:0.4]**\n\n"
+     },
+     {
+       "id":"https://github.com/adieyal/comfyui-dynamicprompts",
+       "tags":"prompt, dynamic prompt",
+       "description": "This extension is a port of sd-dynamic-prompt to ComfyUI."
+     },
+     {
+       "id":"https://github.com/kwaroran/abg-comfyui",
+       "tags":"abg, background remover",
+       "description": "A Anime Background Remover node for comfyui, based on this hf space, works same as AGB extention in automatic1111."
+     },
+     {
+       "id":"https://github.com/Gourieff/comfyui-reactor-node",
+       "tags":"reactor, sd-webui-roop-nsfw",
+       "description": "This is a ported version of ComfyUI for the sd-webui-roop-nsfw extension."
+     },
+     {
+       "id":"https://github.com/laksjdjf/cgem156-ComfyUI",
+       "tags":"regional prompt, latent couple, prompt",
+       "description": "This custom nodes provide a functionality similar to regional prompts, offering couple features at the attention level."
+     },
+     {
+       "id":"https://github.com/FizzleDorf/ComfyUI_FizzNodes",
+       "tags":"deforum",
+       "description": "This custom nodes provide functionality that assists in animation creation, similar to deforum."
+     },
+     {
+       "id":"https://github.com/seanlynch/comfyui-optical-flow",
+       "tags":"deforum, vid2vid",
+       "description": "This custom nodes provide functionality that assists in animation creation, similar to deforum."
+     },
+     {
+       "id":"https://github.com/ssitu/ComfyUI_fabric",
+       "tags":"fabric",
+       "description": "Similar to sd-webui-fabric, this custom nodes provide the functionality of [a/FABRIC](https://github.com/sd-fabric/fabric)."
+     },
+     {
+       "id":"https://github.com/Zuellni/ComfyUI-ExLlama",
+       "tags":"ExLlama, prompt, language model",
+       "description": "Similar to text-generation-webui, this custom nodes provide the functionality of [a/exllama](https://github.com/turboderp/exllama)."
+     },
+     {
+       "id":"https://github.com/spinagon/ComfyUI-seamless-tiling",
+       "tags":"tiling",
+       "description": "ComfyUI node for generating seamless textures Replicates 'Tiling' option from A1111"
+     },
+     {
+       "id":"https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI",
+       "tags":"cd-tuner, negpip",
+       "description": "This extension is a port of the [a/sd-webui-cd-tuner](https://github.com/hako-mikan/sd-webui-cd-tuner)(a.k.a. CD(color/Detail) Tuner )and  [a/sd-webui-negpip](https://github.com/hako-mikan/sd-webui-negpip)(a.k.a. NegPiP) extensions of A1111 to ComfyUI."
+     },
+     {
+       "id":"https://github.com/mcmonkeyprojects/sd-dynamic-thresholding",
+       "tags":"DT, dynamic thresholding",
+       "description": "This custom node is a port of the Dynamic Thresholding extension from A1111 to make it available for use in ComfyUI."
+     },
+     {
+       "id":"https://github.com/hhhzzyang/Comfyui_Lama",
+       "tags":"lama, inpainting anything",
+       "description": "This extension provides custom nodes developed based on [a/LaMa](https://github.com/advimman/lama) and [a/Inpainting anything](https://github.com/geekyutao/Inpaint-Anything)."
+     },
+     {
+       "id":"https://github.com/mlinmg/ComfyUI-LaMA-Preprocessor",
+       "tags":"lama",
+       "description": "This extension provides custom nodes for [a/LaMa](https://github.com/advimman/lama) functionality."
+     },
+     {
+       "id":"https://github.com/Haoming02/comfyui-diffusion-cg",
+       "tags":"diffusion-cg",
+       "description": "This extension provides custom nodes for [a/SD Webui Diffusion Color Grading](https://github.com/Haoming02/sd-webui-diffusion-cg) functionality."
+     },
+     {
+       "id":"https://github.com/asagi4/ComfyUI-CADS",
+       "tags":"diffusion-cg",
+       "description": "This extension provides custom nodes for [a/sd-webui-cads](https://github.com/v0xie/sd-webui-cads) functionality."
+     },
+     {
+       "id":"https://git.mmaker.moe/mmaker/sd-webui-color-enhance",
+       "tags":"color-enhance",
+       "description": "This extension supports both A1111 and ComfyUI simultaneously."
+     },
+     {
+       "id":"https://github.com/shiimizu/ComfyUI-TiledDiffusion",
+       "tags":"multidiffusion",
+       "description": "This extension provides custom nodes for [a/Mixture of Diffusers](https://github.com/albarji/mixture-of-diffusers) and [a/MultiDiffusion](https://github.com/omerbt/MultiDiffusion)"
+     },
+     {
+       "id":"https://github.com/abyz22/image_control",
+       "tags":"BMAB",
+       "description": "This extension provides some alternative functionalities of the [a/sd-webui-bmab](https://github.com/portu-sim/sd-webui-bmab) extension."
+     },
+     {
+       "id":"https://github.com/blepping/ComfyUI-sonar",
+       "tags":"sonar",
+       "description": "This extension provides some alternative functionalities of the [a/stable-diffusion-webui-sonar](https://github.com/Kahsolt/stable-diffusion-webui-sonar) extension."
+     },
+     {
+       "id":"https://github.com/AIFSH/ComfyUI-RVC",
+       "tags":"sonar",
+       "description": "a comfyui custom node for [a/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git), you can Voice-Conversion in comfyui now!"
+     },
+     {
+       "id":"https://github.com/portu-sim/comfyui-bmab",
+       "tags":"bmab",
+       "description": "a comfyui custom node for [a/sd-webui-bmab](https://github.com/portu-sim/sd-webui-bmab)"
+     },
+     {
+       "id":"https://github.com/ThereforeGames/ComfyUI-Unprompted",
+       "tags":"unprompted",
+       "description": "This extension is a port of [a/unprompted](https://github.com/ThereforeGames/unprompted)"
+     }
+   ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/channels.list b/ComfyUI/custom_nodes/ComfyUI-Manager/channels.list
new file mode 100644
index 0000000000000000000000000000000000000000..9a8d6877b3b0f62be0f92b3ae81aea8337952cba
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/channels.list
@@ -0,0 +1,6 @@
+default::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main
+recent::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/new
+legacy::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/legacy
+forked::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/forked
+dev::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/dev
+tutorial::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/tutorial
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/channels.list.template b/ComfyUI/custom_nodes/ComfyUI-Manager/channels.list.template
new file mode 100644
index 0000000000000000000000000000000000000000..9a8d6877b3b0f62be0f92b3ae81aea8337952cba
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/channels.list.template
@@ -0,0 +1,6 @@
+default::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main
+recent::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/new
+legacy::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/legacy
+forked::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/forked
+dev::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/dev
+tutorial::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/tutorial
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/check.bat b/ComfyUI/custom_nodes/ComfyUI-Manager/check.bat
new file mode 100644
index 0000000000000000000000000000000000000000..e7a3b09fc58f749522aef0053f48e5a0a55cf955
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/check.bat
@@ -0,0 +1,21 @@
+@echo off
+
+python json-checker.py "custom-node-list.json"
+python json-checker.py "model-list.json"
+python json-checker.py "alter-list.json"
+python json-checker.py "extension-node-map.json"
+python json-checker.py "node_db\new\custom-node-list.json"
+python json-checker.py "node_db\new\model-list.json"
+python json-checker.py "node_db\new\extension-node-map.json"
+python json-checker.py "node_db\dev\custom-node-list.json"
+python json-checker.py "node_db\dev\model-list.json"
+python json-checker.py "node_db\dev\extension-node-map.json"
+python json-checker.py "node_db\tutorial\custom-node-list.json"
+python json-checker.py "node_db\tutorial\model-list.json"
+python json-checker.py "node_db\tutorial\extension-node-map.json"
+python json-checker.py "node_db\legacy\custom-node-list.json"
+python json-checker.py "node_db\legacy\model-list.json"
+python json-checker.py "node_db\legacy\extension-node-map.json"
+python json-checker.py "node_db\forked\custom-node-list.json"
+python json-checker.py "node_db\forked\model-list.json"
+python json-checker.py "node_db\forked\extension-node-map.json"
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/check.sh b/ComfyUI/custom_nodes/ComfyUI-Manager/check.sh
new file mode 100644
index 0000000000000000000000000000000000000000..d0df44b803c0cd29463dc495ced356faf1262818
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/check.sh
@@ -0,0 +1,42 @@
+#!/bin/bash
+
+echo
+echo CHECK1
+
+files=(
+    "custom-node-list.json"
+    "model-list.json"
+    "alter-list.json"
+    "extension-node-map.json"
+    "github-stats.json"
+    "node_db/new/custom-node-list.json"
+    "node_db/new/model-list.json"
+    "node_db/new/extension-node-map.json"
+    "node_db/dev/custom-node-list.json"
+    "node_db/dev/model-list.json"
+    "node_db/dev/extension-node-map.json"
+    "node_db/tutorial/custom-node-list.json"
+    "node_db/tutorial/model-list.json"
+    "node_db/tutorial/extension-node-map.json"
+    "node_db/legacy/custom-node-list.json"
+    "node_db/legacy/model-list.json"
+    "node_db/legacy/extension-node-map.json"
+    "node_db/forked/custom-node-list.json"
+    "node_db/forked/model-list.json"
+    "node_db/forked/extension-node-map.json"
+)
+
+for file in "${files[@]}"; do
+    python json-checker.py "$file"
+done
+
+echo
+echo CHECK2
+find ~/.tmp/default -name "*.py" -print0 | xargs -0 grep -E "crypto|^_A="
+
+echo
+echo CHECK3
+find ~/.tmp/default -name "requirements.txt" | xargs grep "^\s*https\\?:"
+find ~/.tmp/default -name "requirements.txt" | xargs grep "\.whl"
+
+echo
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/cm-cli.py b/ComfyUI/custom_nodes/ComfyUI-Manager/cm-cli.py
new file mode 100644
index 0000000000000000000000000000000000000000..cb0e7c98fd81021d1e79bd8cf89e250564882764
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/cm-cli.py
@@ -0,0 +1,1031 @@
+import os
+import sys
+import traceback
+import json
+import asyncio
+import subprocess
+import shutil
+import concurrent
+import threading
+from typing import Optional
+
+import typer
+from rich import print
+from typing_extensions import List, Annotated
+import re
+import git
+
+sys.path.append(os.path.dirname(__file__))
+sys.path.append(os.path.join(os.path.dirname(__file__), "glob"))
+import manager_core as core
+import cm_global
+
+comfyui_manager_path = os.path.dirname(__file__)
+comfy_path = os.environ.get('COMFYUI_PATH')
+
+if comfy_path is None:
+    print(f"\n[bold yellow]WARN: The `COMFYUI_PATH` environment variable is not set. Assuming `custom_nodes/ComfyUI-Manager/../../` as the ComfyUI path.[/bold yellow]", file=sys.stderr)
+    comfy_path = os.path.abspath(os.path.join(comfyui_manager_path, '..', '..'))
+
+startup_script_path = os.path.join(comfyui_manager_path, "startup-scripts")
+custom_nodes_path = os.path.join(comfy_path, 'custom_nodes')
+
+script_path = os.path.join(startup_script_path, "install-scripts.txt")
+restore_snapshot_path = os.path.join(startup_script_path, "restore-snapshot.json")
+pip_overrides_path = os.path.join(comfyui_manager_path, "pip_overrides.json")
+git_script_path = os.path.join(comfyui_manager_path, "git_helper.py")
+
+cm_global.pip_blacklist = ['torch', 'torchsde', 'torchvision']
+cm_global.pip_downgrade_blacklist = ['torch', 'torchsde', 'torchvision', 'transformers', 'safetensors', 'kornia']
+cm_global.pip_overrides = {}
+if os.path.exists(pip_overrides_path):
+    with open(pip_overrides_path, 'r', encoding="UTF-8", errors="ignore") as json_file:
+        cm_global.pip_overrides = json.load(json_file)
+        cm_global.pip_overrides['numpy'] = 'numpy<2'
+
+
+def check_comfyui_hash():
+    repo = git.Repo(comfy_path)
+    core.comfy_ui_revision = len(list(repo.iter_commits('HEAD')))
+
+    comfy_ui_hash = repo.head.commit.hexsha
+    cm_global.variables['comfyui.revision'] = core.comfy_ui_revision
+
+    core.comfy_ui_commit_datetime = repo.head.commit.committed_datetime
+
+
+check_comfyui_hash()  # This is a preparation step for manager_core
+
+
+def read_downgrade_blacklist():
+    try:
+        import configparser
+        config_path = os.path.join(os.path.dirname(__file__), "config.ini")
+        config = configparser.ConfigParser()
+        config.read(config_path)
+        default_conf = config['default']
+
+        if 'downgrade_blacklist' in default_conf:
+            items = default_conf['downgrade_blacklist'].split(',')
+            items = [x.strip() for x in items if x != '']
+            cm_global.pip_downgrade_blacklist += items
+            cm_global.pip_downgrade_blacklist = list(set(cm_global.pip_downgrade_blacklist))
+    except:
+        pass
+
+
+read_downgrade_blacklist()  # This is a preparation step for manager_core
+
+
+class Ctx:
+    def __init__(self):
+        self.channel = 'default'
+        self.mode = 'remote'
+        self.processed_install = set()
+        self.custom_node_map_cache = None
+
+    def set_channel_mode(self, channel, mode):
+        if mode is not None:
+            self.mode = mode
+
+        valid_modes = ["remote", "local", "cache"]
+        if mode and mode.lower() not in valid_modes:
+            typer.echo(
+                f"Invalid mode: {mode}. Allowed modes are 'remote', 'local', 'cache'.",
+                err=True,
+            )
+            exit(1)
+
+        if channel is not None:
+            self.channel = channel
+
+    def post_install(self, url):
+        try:
+            repository_name = url.split("/")[-1].strip()
+            repo_path = os.path.join(custom_nodes_path, repository_name)
+            repo_path = os.path.abspath(repo_path)
+
+            requirements_path = os.path.join(repo_path, 'requirements.txt')
+            install_script_path = os.path.join(repo_path, 'install.py')
+
+            if os.path.exists(requirements_path):
+                with open(requirements_path, 'r', encoding="UTF-8", errors="ignore") as file:
+                    for line in file:
+                        package_name = core.remap_pip_package(line.strip())
+                        if package_name and not core.is_installed(package_name):
+                            install_cmd = [sys.executable, "-m", "pip", "install", package_name]
+                            output = subprocess.check_output(install_cmd, cwd=repo_path, text=True)
+                            for msg_line in output.split('\n'):
+                                if 'Requirement already satisfied:' in msg_line:
+                                    print('.', end='')
+                                else:
+                                    print(msg_line)
+
+            if os.path.exists(install_script_path) and f'{repo_path}/install.py' not in self.processed_install:
+                self.processed_install.add(f'{repo_path}/install.py')
+                install_cmd = [sys.executable, install_script_path]
+                output = subprocess.check_output(install_cmd, cwd=repo_path, text=True)
+                for msg_line in output.split('\n'):
+                    if 'Requirement already satisfied:' in msg_line:
+                        print('.', end='')
+                    else:
+                        print(msg_line)
+
+        except Exception:
+            print(f"ERROR: Restoring '{url}' is failed.")
+
+    def restore_dependencies(self):
+        node_paths = [os.path.join(custom_nodes_path, name) for name in os.listdir(custom_nodes_path)
+                      if os.path.isdir(os.path.join(custom_nodes_path, name)) and not name.endswith('.disabled')]
+
+        total = len(node_paths)
+        i = 1
+        for x in node_paths:
+            print(f"----------------------------------------------------------------------------------------------------")
+            print(f"Restoring [{i}/{total}]: {x}")
+            self.post_install(x)
+            i += 1
+
+    def load_custom_nodes(self):
+        channel_dict = core.get_channel_dict()
+        if self.channel not in channel_dict:
+            print(f"[bold red]ERROR: Invalid channel is specified `--channel {self.channel}`[/bold red]", file=sys.stderr)
+            exit(1)
+
+        if self.mode not in ['remote', 'local', 'cache']:
+            print(f"[bold red]ERROR: Invalid mode is specified `--mode {self.mode}`[/bold red]", file=sys.stderr)
+            exit(1)
+
+        channel_url = channel_dict[self.channel]
+
+        res = {}
+        json_obj = asyncio.run(core.get_data_by_mode(self.mode, 'custom-node-list.json', channel_url=channel_url))
+        for x in json_obj['custom_nodes']:
+            for y in x['files']:
+                if 'github.com' in y and not (y.endswith('.py') or y.endswith('.js')):
+                    repo_name = y.split('/')[-1]
+                    res[repo_name] = (x, False)
+
+            if 'id' in x:
+                if x['id'] not in res:
+                    res[x['id']] = (x, True)
+
+        return res
+
+    def get_custom_node_map(self):
+        if self.custom_node_map_cache is not None:
+            return self.custom_node_map_cache
+
+        self.custom_node_map_cache = self.load_custom_nodes()
+
+        return self.custom_node_map_cache
+
+    def lookup_node_path(self, node_name, robust=False):
+        if '..' in node_name:
+            print(f"\n[bold red]ERROR: Invalid node name '{node_name}'[/bold red]\n")
+            exit(2)
+
+        custom_node_map = self.get_custom_node_map()
+        if node_name in custom_node_map:
+            node_url = custom_node_map[node_name][0]['files'][0]
+            repo_name = node_url.split('/')[-1]
+            node_path = os.path.join(custom_nodes_path, repo_name)
+            return node_path, custom_node_map[node_name][0]
+        elif robust:
+            node_path = os.path.join(custom_nodes_path, node_name)
+            return node_path, None
+
+        print(f"\n[bold red]ERROR: Invalid node name '{node_name}'[/bold red]\n")
+        exit(2)
+
+
+cm_ctx = Ctx()
+
+
+def install_node(node_name, is_all=False, cnt_msg=''):
+    if core.is_valid_url(node_name):
+        # install via urls
+        res = core.gitclone_install([node_name])
+        if not res:
+            print(f"[bold red]ERROR: An error occurred while installing '{node_name}'.[/bold red]")
+        else:
+            print(f"{cnt_msg} [INSTALLED] {node_name:50}")
+    else:
+        node_path, node_item = cm_ctx.lookup_node_path(node_name)
+
+        if os.path.exists(node_path):
+            if not is_all:
+                print(f"{cnt_msg} [ SKIPPED ] {node_name:50} => Already installed")
+        elif os.path.exists(node_path + '.disabled'):
+            enable_node(node_name)
+        else:
+            res = core.gitclone_install(node_item['files'], instant_execution=True, msg_prefix=f"[{cnt_msg}] ")
+            if not res:
+                print(f"[bold red]ERROR: An error occurred while installing '{node_name}'.[/bold red]")
+            else:
+                print(f"{cnt_msg} [INSTALLED] {node_name:50}")
+
+
+def reinstall_node(node_name, is_all=False, cnt_msg=''):
+    node_path, node_item = cm_ctx.lookup_node_path(node_name)
+
+    if os.path.exists(node_path):
+        shutil.rmtree(node_path)
+    if os.path.exists(node_path + '.disabled'):
+        shutil.rmtree(node_path + '.disabled')
+
+    install_node(node_name, is_all=is_all, cnt_msg=cnt_msg)
+
+
+def fix_node(node_name, is_all=False, cnt_msg=''):
+    node_path, node_item = cm_ctx.lookup_node_path(node_name, robust=True)
+
+    files = node_item['files'] if node_item is not None else [node_path]
+
+    if os.path.exists(node_path):
+        print(f"{cnt_msg} [   FIXING  ]: {node_name:50} => Disabled")
+        res = core.gitclone_fix(files, instant_execution=True)
+        if not res:
+            print(f"ERROR: An error occurred while fixing '{node_name}'.")
+    elif not is_all and os.path.exists(node_path + '.disabled'):
+        print(f"{cnt_msg} [  SKIPPED  ]: {node_name:50} => Disabled")
+    elif not is_all:
+        print(f"{cnt_msg} [  SKIPPED  ]: {node_name:50} => Not installed")
+
+
+def uninstall_node(node_name, is_all=False, cnt_msg=''):
+    node_path, node_item = cm_ctx.lookup_node_path(node_name, robust=True)
+
+    files = node_item['files'] if node_item is not None else [node_path]
+
+    if os.path.exists(node_path) or os.path.exists(node_path + '.disabled'):
+        res = core.gitclone_uninstall(files)
+        if not res:
+            print(f"ERROR: An error occurred while uninstalling '{node_name}'.")
+        else:
+            print(f"{cnt_msg} [UNINSTALLED] {node_name:50}")
+    else:
+        print(f"{cnt_msg} [  SKIPPED  ]: {node_name:50} => Not installed")
+
+
+def update_node(node_name, is_all=False, cnt_msg=''):
+    node_path, node_item = cm_ctx.lookup_node_path(node_name, robust=True)
+
+    files = node_item['files'] if node_item is not None else [node_path]
+
+    res = core.gitclone_update(files, skip_script=True, msg_prefix=f"[{cnt_msg}] ")
+
+    if not res:
+        print(f"ERROR: An error occurred while updating '{node_name}'.")
+        return None
+
+    return node_path
+
+
+def update_parallel(nodes):
+    is_all = False
+    if 'all' in nodes:
+        is_all = True
+        nodes = [x for x in cm_ctx.get_custom_node_map().keys() if os.path.exists(os.path.join(custom_nodes_path, x)) or os.path.exists(os.path.join(custom_nodes_path, x) + '.disabled')]
+
+    nodes = [x for x in nodes if x.lower() not in ['comfy', 'comfyui', 'all']]
+
+    total = len(nodes)
+
+    lock = threading.Lock()
+    processed = []
+
+    i = 0
+
+    def process_custom_node(x):
+        nonlocal i
+        nonlocal processed
+
+        with lock:
+            i += 1
+
+        try:
+            node_path = update_node(x, is_all=is_all, cnt_msg=f'{i}/{total}')
+            with lock:
+                processed.append(node_path)
+        except Exception as e:
+            print(f"ERROR: {e}")
+            traceback.print_exc()
+
+    with concurrent.futures.ThreadPoolExecutor(4) as executor:
+        for item in nodes:
+            executor.submit(process_custom_node, item)
+
+    i = 1
+    for node_path in processed:
+        if node_path is None:
+            print(f"[{i}/{total}] Post update: ERROR")
+        else:
+            print(f"[{i}/{total}] Post update: {node_path}")
+            cm_ctx.post_install(node_path)
+        i += 1
+
+
+def update_comfyui():
+    res = core.update_path(comfy_path, instant_execution=True)
+    if res == 'fail':
+        print("Updating ComfyUI has failed.")
+    elif res == 'updated':
+        print("ComfyUI is updated.")
+    else:
+        print("ComfyUI is already up to date.")
+
+
+def enable_node(node_name, is_all=False, cnt_msg=''):
+    if node_name == 'ComfyUI-Manager':
+        return
+
+    node_path, node_item = cm_ctx.lookup_node_path(node_name, robust=True)
+
+    if os.path.exists(node_path + '.disabled'):
+        current_name = node_path + '.disabled'
+        os.rename(current_name, node_path)
+        print(f"{cnt_msg} [ENABLED] {node_name:50}")
+    elif os.path.exists(node_path):
+        print(f"{cnt_msg} [SKIPPED] {node_name:50} => Already enabled")
+    elif not is_all:
+        print(f"{cnt_msg} [SKIPPED] {node_name:50} => Not installed")
+
+
+def disable_node(node_name, is_all=False, cnt_msg=''):
+    if node_name == 'ComfyUI-Manager':
+        return
+
+    node_path, node_item = cm_ctx.lookup_node_path(node_name, robust=True)
+
+    if os.path.exists(node_path):
+        current_name = node_path
+        new_name = node_path + '.disabled'
+        os.rename(current_name, new_name)
+        print(f"{cnt_msg} [DISABLED] {node_name:50}")
+    elif os.path.exists(node_path + '.disabled'):
+        print(f"{cnt_msg} [ SKIPPED] {node_name:50} => Already disabled")
+    elif not is_all:
+        print(f"{cnt_msg} [ SKIPPED] {node_name:50} => Not installed")
+
+
+def show_list(kind, simple=False):
+    for k, v in cm_ctx.get_custom_node_map().items():
+        if v[1]:
+            continue
+
+        node_path = os.path.join(custom_nodes_path, k)
+
+        states = set()
+        if os.path.exists(node_path):
+            prefix = '[    ENABLED    ] '
+            states.add('installed')
+            states.add('enabled')
+            states.add('all')
+        elif os.path.exists(node_path + '.disabled'):
+            prefix = '[    DISABLED   ] '
+            states.add('installed')
+            states.add('disabled')
+            states.add('all')
+        else:
+            prefix = '[ NOT INSTALLED ] '
+            states.add('not-installed')
+            states.add('all')
+
+        if kind in states:
+            if simple:
+                print(f"{k:50}")
+            else:
+                short_id = v[0].get('id', "")
+                print(f"{prefix} {k:50} {short_id:20} (author: {v[0]['author']})")
+
+    # unregistered nodes
+    candidates = os.listdir(os.path.realpath(custom_nodes_path))
+
+    for k in candidates:
+        fullpath = os.path.join(custom_nodes_path, k)
+
+        if os.path.isfile(fullpath):
+            continue
+
+        if k in ['__pycache__']:
+            continue
+
+        states = set()
+        if k.endswith('.disabled'):
+            prefix = '[    DISABLED   ] '
+            states.add('installed')
+            states.add('disabled')
+            states.add('all')
+            k = k[:-9]
+        else:
+            prefix = '[    ENABLED    ] '
+            states.add('installed')
+            states.add('enabled')
+            states.add('all')
+
+        if k not in cm_ctx.get_custom_node_map():
+            if kind in states:
+                if simple:
+                    print(f"{k:50}")
+                else:
+                    print(f"{prefix} {k:50} {'':20} (author: N/A)")
+
+
+def show_snapshot(simple_mode=False):
+    json_obj = core.get_current_snapshot()
+
+    if simple_mode:
+        print(f"[{json_obj['comfyui']}] comfyui")
+        for k, v in json_obj['git_custom_nodes'].items():
+            print(f"[{v['hash']}] {k}")
+        for v in json_obj['file_custom_nodes']:
+            print(f"[                   N/A                  ] {v['filename']}")
+
+    else:
+        formatted_json = json.dumps(json_obj, ensure_ascii=False, indent=4)
+        print(formatted_json)
+
+
+def show_snapshot_list(simple_mode=False):
+    snapshot_path = os.path.join(comfyui_manager_path, 'snapshots')
+
+    files = os.listdir(snapshot_path)
+    json_files = [x for x in files if x.endswith('.json')]
+    for x in sorted(json_files):
+        print(x)
+
+
+def cancel():
+    if os.path.exists(script_path):
+        os.remove(script_path)
+
+    if os.path.exists(restore_snapshot_path):
+        os.remove(restore_snapshot_path)
+
+
+def auto_save_snapshot():
+    path = core.save_snapshot_with_postfix('cli-autosave')
+    print(f"Current snapshot is saved as `{path}`")
+
+
+def for_each_nodes(nodes, act, allow_all=True):
+    is_all = False
+    if allow_all and 'all' in nodes:
+        is_all = True
+        nodes = [x for x in cm_ctx.get_custom_node_map().keys() if os.path.exists(os.path.join(custom_nodes_path, x)) or os.path.exists(os.path.join(custom_nodes_path, x) + '.disabled')]
+
+    nodes = [x for x in nodes if x.lower() not in ['comfy', 'comfyui', 'all']]
+
+    total = len(nodes)
+    i = 1
+    for x in nodes:
+        try:
+            act(x, is_all=is_all, cnt_msg=f'{i}/{total}')
+        except Exception as e:
+            print(f"ERROR: {e}")
+            traceback.print_exc()
+        i += 1
+
+
+app = typer.Typer()
+
+
+@app.command(help="Display help for commands")
+def help(ctx: typer.Context):
+    print(ctx.find_root().get_help())
+    ctx.exit(0)
+
+
+@app.command(help="Install custom nodes")
+def install(
+        nodes: List[str] = typer.Argument(
+            ..., help="List of custom nodes to install"
+        ),
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    cm_ctx.set_channel_mode(channel, mode)
+    for_each_nodes(nodes, act=install_node)
+
+
+@app.command(help="Reinstall custom nodes")
+def reinstall(
+        nodes: List[str] = typer.Argument(
+            ..., help="List of custom nodes to reinstall"
+        ),
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    cm_ctx.set_channel_mode(channel, mode)
+    for_each_nodes(nodes, act=reinstall_node)
+
+
+@app.command(help="Uninstall custom nodes")
+def uninstall(
+        nodes: List[str] = typer.Argument(
+            ..., help="List of custom nodes to uninstall"
+        ),
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    cm_ctx.set_channel_mode(channel, mode)
+    for_each_nodes(nodes, act=uninstall_node)
+
+
+@app.command(help="Disable custom nodes")
+def update(
+        nodes: List[str] = typer.Argument(
+            ...,
+            help="[all|List of custom nodes to update]"
+        ),
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    cm_ctx.set_channel_mode(channel, mode)
+
+    if 'all' in nodes:
+        auto_save_snapshot()
+
+    for x in nodes:
+        if x.lower() in ['comfyui', 'comfy', 'all']:
+            update_comfyui()
+            break
+
+    update_parallel(nodes)
+
+
+@app.command(help="Disable custom nodes")
+def disable(
+        nodes: List[str] = typer.Argument(
+            ...,
+            help="[all|List of custom nodes to disable]"
+        ),
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    cm_ctx.set_channel_mode(channel, mode)
+
+    if 'all' in nodes:
+        auto_save_snapshot()
+
+    for_each_nodes(nodes, disable_node, allow_all=True)
+
+
+@app.command(help="Enable custom nodes")
+def enable(
+        nodes: List[str] = typer.Argument(
+            ...,
+            help="[all|List of custom nodes to enable]"
+        ),
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    cm_ctx.set_channel_mode(channel, mode)
+
+    if 'all' in nodes:
+        auto_save_snapshot()
+
+    for_each_nodes(nodes, enable_node, allow_all=True)
+
+
+@app.command(help="Fix dependencies of custom nodes")
+def fix(
+        nodes: List[str] = typer.Argument(
+            ...,
+            help="[all|List of custom nodes to fix]"
+        ),
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    cm_ctx.set_channel_mode(channel, mode)
+
+    if 'all' in nodes:
+        auto_save_snapshot()
+
+    for_each_nodes(nodes, fix_node, allow_all=True)
+
+
+@app.command("show", help="Show node list (simple mode)")
+def show(
+        arg: str = typer.Argument(
+            help="[installed|enabled|not-installed|disabled|all|snapshot|snapshot-list]"
+        ),
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    valid_commands = [
+        "installed",
+        "enabled",
+        "not-installed",
+        "disabled",
+        "all",
+        "snapshot",
+        "snapshot-list",
+    ]
+    if arg not in valid_commands:
+        typer.echo(f"Invalid command: `show {arg}`", err=True)
+        exit(1)
+
+    cm_ctx.set_channel_mode(channel, mode)
+    if arg == 'snapshot':
+        show_snapshot()
+    elif arg == 'snapshot-list':
+        show_snapshot_list()
+    else:
+        show_list(arg)
+
+
+@app.command("simple-show", help="Show node list (simple mode)")
+def simple_show(
+        arg: str = typer.Argument(
+            help="[installed|enabled|not-installed|disabled|all|snapshot|snapshot-list]"
+        ),
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    valid_commands = [
+        "installed",
+        "enabled",
+        "not-installed",
+        "disabled",
+        "all",
+        "snapshot",
+        "snapshot-list",
+    ]
+    if arg not in valid_commands:
+        typer.echo(f"[bold red]Invalid command: `show {arg}`[/bold red]", err=True)
+        exit(1)
+
+    cm_ctx.set_channel_mode(channel, mode)
+    if arg == 'snapshot':
+        show_snapshot(True)
+    elif arg == 'snapshot-list':
+        show_snapshot_list(True)
+    else:
+        show_list(arg, True)
+
+
+@app.command('cli-only-mode', help="Set whether to use ComfyUI-Manager in CLI-only mode.")
+def cli_only_mode(
+        mode: str = typer.Argument(
+            ..., help="[enable|disable]"
+        )):
+    cli_mode_flag = os.path.join(os.path.dirname(__file__), '.enable-cli-only-mode')
+    if mode.lower() == 'enable':
+        with open(cli_mode_flag, 'w') as file:
+            pass
+        print(f"\nINFO: `cli-only-mode` is enabled\n")
+    elif mode.lower() == 'disable':
+        if os.path.exists(cli_mode_flag):
+            os.remove(cli_mode_flag)
+        print(f"\nINFO: `cli-only-mode` is disabled\n")
+    else:
+        print(f"\n[bold red]Invalid value for cli-only-mode: {mode}[/bold red]\n")
+        exit(1)
+
+
+@app.command(
+    "deps-in-workflow", help="Generate dependencies file from workflow (.json/.png)"
+)
+def deps_in_workflow(
+        workflow: Annotated[
+            str, typer.Option(show_default=False, help="Workflow file (.json/.png)")
+        ],
+        output: Annotated[
+            str, typer.Option(show_default=False, help="Output file (.json)")
+        ],
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    cm_ctx.set_channel_mode(channel, mode)
+
+    input_path = workflow
+    output_path = output
+
+    if not os.path.exists(input_path):
+        print(f"[bold red]File not found: {input_path}[/bold red]")
+        exit(1)
+
+    used_exts, unknown_nodes = asyncio.run(core.extract_nodes_from_workflow(input_path, mode=cm_ctx.mode, channel_url=cm_ctx.channel))
+
+    custom_nodes = {}
+    for x in used_exts:
+        custom_nodes[x] = {'state': core.simple_check_custom_node(x),
+                           'hash': '-'
+                           }
+
+    res = {
+        'custom_nodes': custom_nodes,
+        'unknown_nodes': list(unknown_nodes)
+    }
+
+    with open(output_path, "w", encoding='utf-8') as output_file:
+        json.dump(res, output_file, indent=4)
+
+    print(f"Workflow dependencies are being saved into {output_path}.")
+
+
+@app.command("save-snapshot", help="Save a snapshot of the current ComfyUI environment. If output path isn't provided. Save to ComfyUI-Manager/snapshots path.")
+def save_snapshot(
+        output: Annotated[
+            str,
+            typer.Option(
+                show_default=False, help="Specify the output file path. (.json/.yaml)"
+            ),
+        ] = None,
+):
+    path = core.save_snapshot_with_postfix('snapshot', output)
+    print(f"Current snapshot is saved as `{path}`")
+
+
+@app.command("restore-snapshot", help="Restore snapshot from snapshot file")
+def restore_snapshot(
+        snapshot_name: str,
+        pip_non_url: Optional[bool] = typer.Option(
+            default=None,
+            show_default=False,
+            is_flag=True,
+            help="Restore for pip packages registered on PyPI.",
+        ),
+        pip_non_local_url: Optional[bool] = typer.Option(
+            default=None,
+            show_default=False,
+            is_flag=True,
+            help="Restore for pip packages registered at web URLs.",
+        ),
+        pip_local_url: Optional[bool] = typer.Option(
+            default=None,
+            show_default=False,
+            is_flag=True,
+            help="Restore for pip packages specified by local paths.",
+        ),
+):
+    extras = []
+    if pip_non_url:
+        extras.append('--pip-non-url')
+
+    if pip_non_local_url:
+        extras.append('--pip-non-local-url')
+
+    if pip_local_url:
+        extras.append('--pip-local-url')
+
+    print(f"PIPs restore mode: {extras}")
+
+    if os.path.exists(snapshot_name):
+        snapshot_path = os.path.abspath(snapshot_name)
+    else:
+        snapshot_path = os.path.join(core.comfyui_manager_path, 'snapshots', snapshot_name)
+        if not os.path.exists(snapshot_path):
+            print(f"[bold red]ERROR: `{snapshot_path}` is not exists.[/bold red]")
+            exit(1)
+
+    try:
+        cloned_repos = []
+        checkout_repos = []
+        skipped_repos = []
+        enabled_repos = []
+        disabled_repos = []
+        is_failed = False
+
+        def extract_infos(msg):
+            nonlocal is_failed
+
+            for x in msg:
+                if x.startswith("CLONE: "):
+                    cloned_repos.append(x[7:])
+                elif x.startswith("CHECKOUT: "):
+                    checkout_repos.append(x[10:])
+                elif x.startswith("SKIPPED: "):
+                    skipped_repos.append(x[9:])
+                elif x.startswith("ENABLE: "):
+                    enabled_repos.append(x[8:])
+                elif x.startswith("DISABLE: "):
+                    disabled_repos.append(x[9:])
+                elif 'APPLY SNAPSHOT: False' in x:
+                    is_failed = True
+
+        print(f"Restore snapshot.")
+        cmd_str = [sys.executable, git_script_path, '--apply-snapshot', snapshot_path] + extras
+        output = subprocess.check_output(cmd_str, cwd=custom_nodes_path, text=True)
+        msg_lines = output.split('\n')
+        extract_infos(msg_lines)
+
+        for url in cloned_repos:
+            cm_ctx.post_install(url)
+
+        # print summary
+        for x in cloned_repos:
+            print(f"[ INSTALLED ] {x}")
+        for x in checkout_repos:
+            print(f"[  CHECKOUT ] {x}")
+        for x in enabled_repos:
+            print(f"[  ENABLED  ] {x}")
+        for x in disabled_repos:
+            print(f"[  DISABLED ] {x}")
+
+        if is_failed:
+            print(output)
+            print("[bold red]ERROR: Failed to restore snapshot.[/bold red]")
+
+    except Exception:
+        print("[bold red]ERROR: Failed to restore snapshot.[/bold red]")
+        traceback.print_exc()
+        raise typer.Exit(code=1)
+
+
+@app.command(
+    "restore-dependencies", help="Restore dependencies from whole installed custom nodes."
+)
+def restore_dependencies():
+    node_paths = [os.path.join(custom_nodes_path, name) for name in os.listdir(custom_nodes_path)
+                  if os.path.isdir(os.path.join(custom_nodes_path, name)) and not name.endswith('.disabled')]
+
+    total = len(node_paths)
+    i = 1
+    for x in node_paths:
+        print(f"----------------------------------------------------------------------------------------------------")
+        print(f"Restoring [{i}/{total}]: {x}")
+        cm_ctx.post_install(x)
+        i += 1
+
+
+@app.command(
+    "post-install", help="Install dependencies and execute installation script"
+)
+def post_install(
+        path: str = typer.Argument(
+            help="path to custom node",
+        )):
+    path = os.path.expanduser(path)
+    cm_ctx.post_install(path)
+
+
+@app.command(
+    "install-deps",
+    help="Install dependencies from dependencies file(.json) or workflow(.png/.json)",
+)
+def install_deps(
+        deps: str = typer.Argument(
+            help="Dependency spec file (.json)",
+        ),
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        ),
+):
+    cm_ctx.set_channel_mode(channel, mode)
+    auto_save_snapshot()
+
+    if not os.path.exists(deps):
+        print(f"[bold red]File not found: {deps}[/bold red]")
+        exit(1)
+    else:
+        with open(deps, 'r', encoding="UTF-8", errors="ignore") as json_file:
+            try:
+                json_obj = json.load(json_file)
+            except:
+                print(f"[bold red]Invalid json file: {deps}[/bold red]")
+                exit(1)
+
+            for k in json_obj['custom_nodes'].keys():
+                state = core.simple_check_custom_node(k)
+                if state == 'installed':
+                    continue
+                elif state == 'not-installed':
+                    core.gitclone_install([k], instant_execution=True)
+                else:  # disabled
+                    core.gitclone_set_active([k], False)
+
+        print("Dependency installation and activation complete.")
+
+
+@app.command(help="Clear reserved startup action in ComfyUI-Manager")
+def clear():
+    cancel()
+
+
+@app.command("export-custom-node-ids", help="Export custom node ids")
+def export_custom_node_ids(
+        path: str,
+        channel: Annotated[
+            str,
+            typer.Option(
+                show_default=False,
+                help="Specify the operation mode"
+            ),
+        ] = None,
+        mode: str = typer.Option(
+            None,
+            help="[remote|local|cache]"
+        )):
+    cm_ctx.set_channel_mode(channel, mode)
+
+    with open(path, "w", encoding='utf-8') as output_file:
+        for x in cm_ctx.get_custom_node_map().keys():
+            print(x, file=output_file)
+
+
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(app())
+
+print(f"")
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/components/.gitignore b/ComfyUI/custom_nodes/ComfyUI-Manager/components/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..fab7a5e2492a15845fc6e2c1d5723ebccd11f75e
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/components/.gitignore
@@ -0,0 +1,2 @@
+*.json
+*.pack
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/config.ini b/ComfyUI/custom_nodes/ComfyUI-Manager/config.ini
new file mode 100644
index 0000000000000000000000000000000000000000..e85bba12270f5caec560ce13e4ccee2427bb2838
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/config.ini
@@ -0,0 +1,16 @@
+[default]
+preview_method = none
+badge_mode = none
+git_exe = 
+channel_url = https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main
+share_option = none
+bypass_ssl = False
+file_logging = True
+default_ui = none
+component_policy = workflow
+double_click_policy = copy-all
+windows_selector_event_loop_policy = False
+model_download_by_agent = False
+downgrade_blacklist = 
+security_level = normal
+
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/custom-node-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/custom-node-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e9e883c77edbb3fd11ac1af686f4a10a18e3ede
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/custom-node-list.json
@@ -0,0 +1,14462 @@
+{
+    "custom_nodes": [
+        {
+            "author": "Dr.Lt.Data",
+            "title": "ComfyUI-Manager",
+            "id": "manager",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Manager",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-Manager"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Manager itself is also a custom node."
+        },
+        {
+            "author": "Dr.Lt.Data",
+            "title": "ComfyUI Impact Pack",
+            "id": "impact",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Impact-Pack",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-Impact-Pack"
+            ],
+            "pip": ["ultralytics"],
+            "install_type": "git-clone",
+            "description": "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler.",
+            "preemptions":["SAMLoader"]
+        },
+        {
+            "author": "Dr.Lt.Data",
+            "title": "ComfyUI Inspire Pack",
+            "id": "inspire",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Inspire-Pack",
+            "nodename_pattern": "Inspire$",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-Inspire-Pack"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides various nodes to support Lora Block Weight and the Impact Pack. Provides many easily applicable regional features and applications for Variation Seed."
+        },
+        {
+            "author": "comfyanonymous",
+            "title": "ComfyUI_experiments",
+            "id": "comfy-exp",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_experiments"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: ModelSamplerTonemapNoiseTest, TonemapNoiseWithRescaleCFG, ReferenceOnlySimple, RescaleClassifierFreeGuidanceTest, ModelMergeBlockNumber, ModelMergeSDXL, ModelMergeSDXLTransformers, ModelMergeSDXLDetailedTransformers."
+        },
+        {
+            "author": "comfyanonymous",
+            "title": "TensorRT Node for ComfyUI",
+            "id": "tensorrt",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_TensorRT",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_TensorRT"
+            ],
+            "install_type": "git-clone",
+            "description": "This node enables the best performance on NVIDIA RTX™ Graphics Cards  (GPUs) for Stable Diffusion by leveraging NVIDIA TensorRT."
+        },
+        {
+            "author": "Stability-AI",
+            "title": "Stability API nodes for ComfyUI",
+            "id": "sai-api",
+            "reference": "https://github.com/Stability-AI/ComfyUI-SAI_API",
+            "files": [
+                "https://github.com/Stability-AI/ComfyUI-SAI_API"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Stability SD3, Stability Outpainting, Stability Search and Replace, Stability Image Core, Stability Inpainting, Stability Remove Background, Stability Creative Upscale.\nAdd API key to environment variable 'SAI_API_KEY'\nAlternatively you can write your API key to file 'sai_platform_key.txt'\nYou can also use and/or override the above by entering your API key in the 'api_key_override' field of each node."
+        },
+        {
+            "author": "Stability-AI",
+            "title": "stability-ComfyUI-nodes",
+            "id": "sai-nodes",
+            "reference": "https://github.com/Stability-AI/stability-ComfyUI-nodes",
+            "files": [
+                "https://github.com/Stability-AI/stability-ComfyUI-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: ColorBlend, ControlLoraSave, GetImageSize. NOTE: Control-LoRA recolor example uses these nodes."
+        },
+        {
+            "author": "Fannovel16",
+            "title": "ComfyUI's ControlNet Auxiliary Preprocessors",
+            "id": "comfyui_controlnet_aux",
+            "reference": "https://github.com/Fannovel16/comfyui_controlnet_aux",
+            "files": [
+                "https://github.com/Fannovel16/comfyui_controlnet_aux"
+            ],
+            "preemptions":[
+                "AIO_Preprocessor",
+                "AnimalPosePreprocessor",
+                "AnimeFace_SemSegPreprocessor",
+                "AnimeLineArtPreprocessor",
+                "BAE-NormalMapPreprocessor",
+                "BinaryPreprocessor",
+                "CannyEdgePreprocessor",
+                "ColorPreprocessor",
+                "DSINE-NormalMapPreprocessor",
+                "DWPreprocessor",
+                "DensePosePreprocessor",
+                "DepthAnythingPreprocessor",
+                "DiffusionEdge_Preprocessor",
+                "FacialPartColoringFromPoseKps",
+                "FakeScribblePreprocessor",
+                "HEDPreprocessor",
+                "HintImageEnchance",
+                "ImageGenResolutionFromImage",
+                "ImageGenResolutionFromLatent",
+                "ImageIntensityDetector",
+                "ImageLuminanceDetector",
+                "InpaintPreprocessor",
+                "LeReS-DepthMapPreprocessor",
+                "LineArtPreprocessor",
+                "LineartStandardPreprocessor",
+                "M-LSDPreprocessor",
+                "Manga2Anime_LineArt_Preprocessor",
+                "MaskOptFlow",
+                "MediaPipe-FaceMeshPreprocessor",
+                "MeshGraphormer-DepthMapPreprocessor",
+                "MiDaS-DepthMapPreprocessor",
+                "MiDaS-NormalMapPreprocessor",
+                "OneFormer-ADE20K-SemSegPreprocessor",
+                "OneFormer-COCO-SemSegPreprocessor",
+                "OpenposePreprocessor",
+                "PiDiNetPreprocessor",
+                "PixelPerfectResolution",
+                "SAMPreprocessor",
+                "SavePoseKpsAsJsonFile",
+                "ScribblePreprocessor",
+                "Scribble_XDoG_Preprocessor",
+                "SemSegPreprocessor",
+                "ShufflePreprocessor",
+                "TEEDPreprocessor",
+                "TilePreprocessor",
+                "UniFormer-SemSegPreprocessor",
+                "Unimatch_OptFlowPreprocessor",
+                "Zoe-DepthMapPreprocessor",
+                "Zoe_DepthAnythingPreprocessor"],
+            "install_type": "git-clone",
+            "description": "Plug-and-play ComfyUI node sets for making ControlNet hint images."
+        },
+        {
+            "author": "Fannovel16",
+            "title": "ComfyUI Frame Interpolation",
+            "id": "frame-interpolation",
+            "reference": "https://github.com/Fannovel16/ComfyUI-Frame-Interpolation",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-Frame-Interpolation"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node suite for Video Frame Interpolation in ComfyUI"
+        },
+        {
+            "author": "Fannovel16",
+            "title": "ComfyUI Loopchain",
+            "id": "loopchain",
+            "reference": "https://github.com/Fannovel16/ComfyUI-Loopchain",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-Loopchain"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of nodes which can be useful for animation in ComfyUI. The main focus of this extension is implementing a mechanism called loopchain. A loopchain in this case is the chain of nodes only executed repeatly in the workflow. If a node chain contains a loop node from this extension, it will become a loop chain."
+        },
+        {
+            "author": "Fannovel16",
+            "title": "ComfyUI MotionDiff",
+            "id": "motiondiff",
+            "reference": "https://github.com/Fannovel16/ComfyUI-MotionDiff",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-MotionDiff"
+            ],
+            "install_type": "git-clone",
+            "description": "Implementation of MDM, MotionDiffuse and ReMoDiffuse into ComfyUI."
+        },
+        {
+            "author": "Fannovel16",
+            "title": "ComfyUI-Video-Matting",
+            "id": "video-matting",
+            "reference": "https://github.com/Fannovel16/ComfyUI-Video-Matting",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-Video-Matting"
+            ],
+            "install_type": "git-clone",
+            "description": "A minimalistic implementation of [a/Robust Video Matting (RVM)](https://github.com/PeterL1n/RobustVideoMatting/) in ComfyUI"
+        },
+        {
+            "author": "Fannovel16",
+            "title": "ComfyUI-MagickWand",
+            "id": "magicwand",
+            "reference": "https://github.com/Fannovel16/ComfyUI-MagickWand",
+            "files": [
+                "https://github.com/Fannovel16/ComfyUI-MagickWand"
+            ],
+            "install_type": "git-clone",
+            "description": "Proper implementation of ImageMagick - the famous software suite for editing and manipulating digital images to ComfyUI using [a/wandpy](https://github.com/emcconville/wand).\nNOTE: You need to install ImageMagick, manually."
+        },
+        {
+            "author": "time-river",
+            "title": "CLIPSeg",
+            "id": "clipseg",
+            "reference": "https://github.com/time-river/ComfyUI-CLIPSeg",
+            "files": [
+                "https://github.com/time-river/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py"
+            ],
+            "install_type": "copy",
+            "description": "The CLIPSeg node generates a binary mask for a given input image and text prompt.\nNOTE:This custom node is a forked custom node with hotfixes applied from the [a/original repository](https://github.com/biegert/ComfyUI-CLIPSeg), which is no longer maintained."
+        },
+        {
+            "author": "BlenderNeko",
+            "title": "ComfyUI Cutoff",
+            "id": "cutoff",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_Cutoff",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_Cutoff"
+            ],
+            "install_type": "git-clone",
+            "description": "These custom nodes provides features that allow for better control over the effects of the text prompt."
+        },
+        {
+            "author": "BlenderNeko",
+            "title": "Advanced CLIP Text Encode",
+            "id": "adv-encode",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb"
+            ],
+            "install_type": "git-clone",
+            "description": "Advanced CLIP Text Encode (if you need A1111 like prompt. you need this. But Cutoff node includes this feature, already.)"
+        },
+        {
+            "author": "BlenderNeko",
+            "title": "ComfyUI Noise",
+            "id": "comfy-noise",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_Noise",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_Noise"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension contains 6 nodes for ComfyUI that allows for more control and flexibility over the noise."
+        },
+        {
+            "author": "BlenderNeko",
+            "title": "Tiled sampling for ComfyUI",
+            "id": "tiled-sampling",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_TiledKSampler",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_TiledKSampler"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension contains a tiled sampler for ComfyUI. It allows for denoising larger images by splitting it up into smaller tiles and denoising these. It tries to minimize any seams for showing up in the end result by gradually denoising all tiles one step at the time and randomizing tile positions for every step."
+        },
+        {
+            "author": "BlenderNeko",
+            "title": "SeeCoder [WIP]",
+            "id": "seecoder",
+            "reference": "https://github.com/BlenderNeko/ComfyUI_SeeCoder",
+            "files": [
+                "https://github.com/BlenderNeko/ComfyUI_SeeCoder"
+            ],
+            "install_type": "git-clone",
+            "description": "It provides the capability to generate CLIP from an image input, unlike unCLIP, which works in all models. (To use this extension, you need to download the required model file from **Install Models**)"
+        },
+        {
+            "author": "jags111",
+            "title": "Efficiency Nodes for ComfyUI Version 2.0+",
+            "id": "eff-nodes",
+            "reference": "https://github.com/jags111/efficiency-nodes-comfyui",
+            "files": [
+                "https://github.com/jags111/efficiency-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of ComfyUI custom nodes to help streamline workflows and reduce total node count.[w/NOTE: This node is originally created by LucianoCirino, but the [a/original repository](https://github.com/LucianoCirino/efficiency-nodes-comfyui) is no longer maintained and has been forked by a new maintainer. To use the forked version, you should uninstall the original version and **REINSTALL** this one.]"
+        },
+        {
+            "author": "jags111",
+            "title": "Jags_VectorMagic",
+            "id": "vectormagic",
+            "reference": "https://github.com/jags111/ComfyUI_Jags_VectorMagic",
+            "files": [
+                "https://github.com/jags111/ComfyUI_Jags_VectorMagic"
+            ],
+            "install_type": "git-clone",
+            "description": "a collection of nodes to explore Vector and image manipulation"
+        },
+        {
+            "author": "jags111",
+            "title": "Jags_Audiotools",
+            "id": "audiotools",
+            "reference": "https://github.com/jags111/ComfyUI_Jags_Audiotools",
+            "files": [
+                "https://github.com/jags111/ComfyUI_Jags_Audiotools"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension offers various audio generation tools"
+        },
+        {
+            "author": "Derfuu",
+            "title": "Derfuu_ComfyUI_ModdedNodes",
+            "id": "derfuu",
+            "reference": "https://github.com/Derfuu/Derfuu_ComfyUI_ModdedNodes",
+            "nodename_pattern": "^DF_",
+            "files": [
+                "https://github.com/Derfuu/Derfuu_ComfyUI_ModdedNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Automate calculation depending on image sizes or something you want."
+        },
+        {
+            "author": "paulo-coronado",
+            "title": "comfy_clip_blip_node",
+            "id": "blip",
+            "reference": "https://github.com/paulo-coronado/comfy_clip_blip_node",
+            "files": [
+                "https://github.com/paulo-coronado/comfy_clip_blip_node"
+            ],
+            "install_type": "git-clone",
+            "apt_dependency": [
+                "rustc",
+                "cargo"
+            ],
+            "description": "CLIPTextEncodeBLIP: This custom node provides a CLIP Encoder that is capable of receiving images as input."
+        },
+        {
+            "author": "WASasquatch",
+            "title": "WAS Node Suite",
+            "id": "was",
+            "reference": "https://github.com/WASasquatch/was-node-suite-comfyui",
+            "pip": ["numba"],
+            "files": [
+                "https://github.com/WASasquatch/was-node-suite-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "A node suite for ComfyUI with many new nodes, such as image processing, text processing, and more."
+        },
+        {
+            "author": "WASasquatch",
+            "title": "ComfyUI Preset Merger",
+            "id": "preset-merger",
+            "reference": "https://github.com/WASasquatch/ComfyUI_Preset_Merger",
+            "files": [
+                "https://github.com/WASasquatch/ComfyUI_Preset_Merger"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: ModelMergeByPreset. Merge checkpoint models by preset"
+        },
+        {
+            "author": "WASasquatch",
+            "title": "PPF_Noise_ComfyUI",
+            "id": "ppf",
+            "reference": "https://github.com/WASasquatch/PPF_Noise_ComfyUI",
+            "files": [
+                "https://github.com/WASasquatch/PPF_Noise_ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: WAS_PFN_Latent. Perlin Power Fractal Noisey Latents"
+        },
+        {
+            "author": "WASasquatch",
+            "title": "Power Noise Suite for ComfyUI",
+            "id": "power-noise",
+            "reference": "https://github.com/WASasquatch/PowerNoiseSuite",
+            "files": [
+                "https://github.com/WASasquatch/PowerNoiseSuite"
+            ],
+            "install_type": "git-clone",
+            "description": "Power Noise Suite contains nodes centered around latent noise input, and diffusion, as well as latent adjustments."
+        },
+        {
+            "author": "WASasquatch",
+            "title": "FreeU_Advanced",
+            "id": "freeu-adv",
+            "reference": "https://github.com/WASasquatch/FreeU_Advanced",
+            "files": [
+                "https://github.com/WASasquatch/FreeU_Advanced"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node provides advanced settings for FreeU."
+        },
+        {
+            "author": "WASasquatch",
+            "title": "ASTERR",
+            "id": "asterr",
+            "reference": "https://github.com/WASasquatch/ASTERR",
+            "files": [
+                "https://github.com/WASasquatch/ASTERR"
+            ],
+            "install_type": "git-clone",
+            "description": "Abstract Syntax Trees Evaluated Restricted Run (ASTERR) is a Python Script executor for ComfyUI. [w/Warning:ASTERR runs Python Code from a Web Interface! It is highly recommended to run this in a closed-off environment, as it could have potential security risks.]"
+        },
+        {
+            "author": "WASasquatch",
+            "title": "WAS_Extras",
+            "id": "was-extras",
+            "reference": "https://github.com/WASasquatch/WAS_Extras",
+            "files": [
+                "https://github.com/WASasquatch/WAS_Extras"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Conditioning (Blend), Inpainting VAE Encode (WAS), VividSharpen. Experimental nodes, or other random extra helper nodes."
+        },
+        {
+            "author": "SaltAI",
+            "title": "SaltAI-Open-Resources",
+            "id": "saltai-open-resource",
+            "reference": "https://github.com/get-salt-AI/SaltAI",
+            "pip": ["numba"],
+            "files": [
+                "https://github.com/get-salt-AI/SaltAI"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository is a collection of open-source nodes and workflows for ComfyUI, a dev tool that allows users to create node-based workflows often powered by various AI models to do pretty much anything.\nOur mission is to seamlessly connect people and organizations with the world’s foremost AI innovations, anywhere, anytime. Our vision is to foster a flourishing AI ecosystem where the world’s best developers can build and share their work, thereby redefining how software is made, pushing innovation forward, and ensuring as many people as possible can benefit from the positive promise of AI technologies.\nWe believe that ComfyUI is a powerful tool that can help us achieve our mission and vision, by enabling anyone to explore the possibilities and limitations of AI models in a visual and interactive way, without coding if desired.\nWe hope that by sharing our nodes and workflows, we can inspire and empower more people to create amazing AI-powered content with ComfyUI."
+        },
+        {
+            "author": "SaltAI",
+            "title": "SaltAI_Language_Toolkit",
+            "id": "saltai_language_toolkit",
+            "reference": "https://github.com/get-salt-AI/SaltAI_Language_Toolkit",
+            "files": [
+                "https://github.com/get-salt-AI/SaltAI_Language_Toolkit"
+            ],
+            "install_type": "git-clone",
+            "description": "The project integrates the Retrieval Augmented Generation (RAG) tool [a/Llama-Index](https://www.llamaindex.ai/), [a/Microsoft's AutoGen](https://microsoft.github.io/autogen/), and [a/LlaVA-Next](https://github.com/LLaVA-VL/LLaVA-NeXT) with ComfyUI's adaptable node interface, enhancing the functionality and user experience of the platform."
+        },
+        {
+            "author": "omar92",
+            "title": "Quality of life Suit:V2",
+            "id": "qol",
+            "reference": "https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92",
+            "files": [
+                "https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92"
+            ],
+            "install_type": "git-clone",
+            "description": "openAI suite, String suite, Latent Tools, Image Tools: These custom nodes provide expanded functionality for image and string processing, latent processing, as well as the ability to interface with models such as ChatGPT/DallE-2.\nNOTE: Currently, this extension does not support the new OpenAI API, leading to compatibility issues."
+        },
+        {
+            "author": "lilly1987",
+            "title": "simple wildcard for ComfyUI",
+            "id": "simle-wildcard",
+            "reference": "https://github.com/lilly1987/ComfyUI_node_Lilly",
+            "files": [
+                "https://github.com/lilly1987/ComfyUI_node_Lilly"
+            ],
+            "install_type": "git-clone",
+            "description": "These custom nodes provides a feature to insert arbitrary inputs through wildcards in the prompt. Additionally, this tool provides features that help simplify workflows, such as VAELoaderDecoder and SimplerSample."
+        },
+        {
+            "author": "sylym",
+            "title": "Vid2vid",
+            "id": "vid2vid",
+            "reference": "https://github.com/sylym/comfy_vid2vid",
+            "files": [
+                "https://github.com/sylym/comfy_vid2vid"
+            ],
+            "install_type": "git-clone",
+            "description": "A node suite for ComfyUI that allows you to load image sequence and generate new image sequence with different styles or content."
+        },
+        {
+            "author": "EllangoK",
+            "title": "ComfyUI-post-processing-nodes",
+            "id": "post-processing",
+            "reference": "https://github.com/EllangoK/ComfyUI-post-processing-nodes",
+            "files": [
+                "https://github.com/EllangoK/ComfyUI-post-processing-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of post processing nodes for ComfyUI, simply download this repo and drag."
+        },
+        {
+            "author": "LEv145",
+            "title": "ImagesGrid",
+            "id": "imagesgrid",
+            "reference": "https://github.com/LEv145/images-grid-comfy-plugin",
+            "files": [
+                "https://github.com/LEv145/images-grid-comfy-plugin"
+            ],
+            "install_type": "git-clone",
+            "description": "This tool provides a viewer node that allows for checking multiple outputs in a grid, similar to the X/Y Plot extension."
+        },
+        {
+            "author": "diontimmer",
+            "title": "ComfyUI-Vextra-Nodes",
+            "id": "vextra",
+            "reference": "https://github.com/diontimmer/ComfyUI-Vextra-Nodes",
+            "files": [
+                "https://github.com/diontimmer/ComfyUI-Vextra-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Pixel Sort, Swap Color Mode, Solid Color, Glitch This, Add Text To Image, Play Sound, Prettify Prompt, Generate Noise, Flatten Colors"
+        },
+        {
+            "author": "CYBERLOOM-INC",
+            "title": "ComfyUI-nodes-hnmr",
+            "id": "hnmr",
+            "reference": "https://github.com/CYBERLOOM-INC/ComfyUI-nodes-hnmr",
+            "files": [
+                "https://github.com/CYBERLOOM-INC/ComfyUI-nodes-hnmr"
+            ],
+            "install_type": "git-clone",
+            "description": "Provide various custom nodes for Latent, Sampling, Model, Loader, Image, Text. This is the fixed version of the original [a/ComfyUI-nodes-hnmr](https://github.com/hnmr293/ComfyUI-nodes-hnmr) by hnmr293."
+        },
+        {
+            "author": "BadCafeCode",
+            "title": "Masquerade Nodes",
+            "id": "masquerade",
+            "reference": "https://github.com/BadCafeCode/masquerade-nodes-comfyui",
+            "files": [
+                "https://github.com/BadCafeCode/masquerade-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a low-dependency node pack primarily dealing with masks. The author recommends using Impact-Pack instead (unless you specifically have trouble installing dependencies)."
+        },
+        {
+            "author": "guoyk93",
+            "title": "y.k.'s ComfyUI node suite",
+            "id": "yks",
+            "reference": "https://github.com/guoyk93/yk-node-suite-comfyui",
+            "files": [
+                "https://github.com/guoyk93/yk-node-suite-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: YKImagePadForOutpaint, YKMaskToImage"
+        },
+        {
+            "author": "Jcd1230",
+            "title": "Rembg Background Removal Node for ComfyUI",
+            "id": "rembg",
+            "reference": "https://github.com/Jcd1230/rembg-comfyui-node",
+            "files": [
+                "https://github.com/Jcd1230/rembg-comfyui-node"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Image Remove Background (rembg)"
+        },
+        {
+            "author": "YinBailiang",
+            "title": "MergeBlockWeighted_fo_ComfyUI",
+            "id": "mbw",
+            "reference": "https://github.com/YinBailiang/MergeBlockWeighted_fo_ComfyUI",
+            "files": [
+                "https://github.com/YinBailiang/MergeBlockWeighted_fo_ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: MergeBlockWeighted"
+        },
+        {
+            "author": "trojblue",
+            "title": "trNodes",
+            "id": "trnodes",
+            "reference": "https://github.com/trojblue/trNodes",
+            "files": [
+                "https://github.com/trojblue/trNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: image_layering, color_correction, model_router"
+        },
+        {
+            "author": "szhublox",
+            "title": "Auto-MBW",
+            "id": "auto-mbw",
+            "reference": "https://github.com/szhublox/ambw_comfyui",
+            "files": [
+                "https://github.com/szhublox/ambw_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Auto-MBW for ComfyUI loosely based on sdweb-auto-MBW. Nodes: auto merge block weighted"
+        },
+        {
+            "author": "city96",
+            "title": "ComfyUI_NetDist",
+            "id": "netdist",
+            "reference": "https://github.com/city96/ComfyUI_NetDist",
+            "files": [
+                "https://github.com/city96/ComfyUI_NetDist"
+            ],
+            "install_type": "git-clone",
+            "description": "Run ComfyUI workflows on multiple local GPUs/networked machines. Nodes: Remote images, Local Remote control"
+        },
+        {
+            "author": "city96",
+            "title": "Latent-Interposer",
+            "id": "latent-interposer",
+            "reference": "https://github.com/city96/SD-Latent-Interposer",
+            "files": [
+                "https://github.com/city96/SD-Latent-Interposer"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom node to convert the lantents between SDXL and SD v1.5 directly without the VAE decoding/encoding step."
+        },
+        {
+            "author": "city96",
+            "title": "SD-Advanced-Noise",
+            "id": "adv-noise",
+            "reference": "https://github.com/city96/SD-Advanced-Noise",
+            "files": [
+                "https://github.com/city96/SD-Advanced-Noise"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: LatentGaussianNoise, MathEncode. An experimental custom node that generates latent noise directly by utilizing the linear characteristics of the latent space."
+        },
+        {
+            "author": "city96",
+            "title": "SD-Latent-Upscaler",
+            "id": "latent-upscaler",
+            "reference": "https://github.com/city96/SD-Latent-Upscaler",
+            "files": [
+                "https://github.com/city96/SD-Latent-Upscaler"
+            ],
+            "pip": ["huggingface-hub"],
+            "install_type": "git-clone",
+            "description": "Upscaling stable diffusion latents using a small neural network."
+        },
+        {
+            "author": "city96",
+            "title": "ComfyUI_DiT [WIP]",
+            "id": "dit",
+            "reference": "https://github.com/city96/ComfyUI_DiT",
+            "files": [
+                "https://github.com/city96/ComfyUI_DiT"
+            ],
+            "pip": ["huggingface-hub"],
+            "install_type": "git-clone",
+            "description": "Testbed for [a/DiT(Scalable Diffusion Models with Transformers)](https://github.com/facebookresearch/DiT). [w/None of this code is stable, expect breaking changes if for some reason you want to use this.]"
+        },
+        {
+            "author": "city96",
+            "title": "ComfyUI_ColorMod",
+            "id": "colormod",
+            "reference": "https://github.com/city96/ComfyUI_ColorMod",
+            "files": [
+                "https://github.com/city96/ComfyUI_ColorMod"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension currently has two sets of nodes - one set for editing the contrast/color of images and another set for saving images as 16 bit PNG files."
+        },
+        {
+            "author": "city96",
+            "title": "Extra Models for ComfyUI",
+            "id": "extramodels",
+            "reference": "https://github.com/city96/ComfyUI_ExtraModels",
+            "files": [
+                "https://github.com/city96/ComfyUI_ExtraModels"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension aims to add support for various random image diffusion models to ComfyUI."
+        },
+        {
+            "author": "city96",
+            "title": "ComfyUI-GGUF",
+            "id": "gguf",
+            "reference": "https://github.com/city96/ComfyUI-GGUF",
+            "files": [
+                "https://github.com/city96/ComfyUI-GGUF"
+            ],
+            "install_type": "git-clone",
+            "description": "GGUF Quantization support for native ComfyUI models\nThis is currently very much WIP. These custom nodes provide support for model files stored in the GGUF format popularized by llama.cpp.\nWhile quantization wasn't feasible for regular UNET models (conv2d), transformer/DiT models such as flux seem less affected by quantization. This allows running it in much lower bits per weight variable bitrate quants on low-end GPUs."
+        },
+        {
+            "author": "SLAPaper",
+            "title": "ComfyUI-Image-Selector",
+            "id": "image-selector",
+            "reference": "https://github.com/SLAPaper/ComfyUI-Image-Selector",
+            "files": [
+                "https://github.com/SLAPaper/ComfyUI-Image-Selector"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for ComfyUI, which can select one or some of images from a batch."
+        },
+        {
+            "author": "SLAPaper",
+            "title": "StableDiffusion-dpmpp_2m_alt-Sampler",
+            "id": "dpmpp2m-alt",
+            "reference": "https://github.com/SLAPaper/StableDiffusion-dpmpp_2m_alt-Sampler",
+            "files": [
+                "https://github.com/SLAPaper/StableDiffusion-dpmpp_2m_alt-Sampler"
+            ],
+            "install_type": "git-clone",
+            "description": "the sampler introduced by [a/hallatore](https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8457)\ncode extracted from [a/smZNodes](https://github.com/shiimizu/ComfyUI_smZNodes).[w/NOTE:ComfyUI-dpmpp_2m_alt-Sampler is renamed to StableDiffusion-dpmpp_2m_alt-Sampler. Please reinstall.]"
+        },
+        {
+            "author": "flyingshutter",
+            "title": "As_ComfyUI_CustomNodes",
+            "reference": "https://github.com/flyingshutter/As_ComfyUI_CustomNodes",
+            "files": [
+                "https://github.com/flyingshutter/As_ComfyUI_CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Manipulation nodes for Image, Latent"
+        },
+        {
+            "author": "Zuellni",
+            "title": "Zuellni/ComfyUI-Custom-Nodes",
+            "reference": "https://github.com/Zuellni/ComfyUI-Custom-Nodes",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-Custom-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: DeepFloyd, Filter, Select, Save, Decode, Encode, Repeat, Noise, Noise"
+        },
+        {
+            "author": "Zuellni",
+            "title": "ComfyUI-ExLlama",
+            "id": "exllama",
+            "reference": "https://github.com/Zuellni/ComfyUI-ExLlama",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-ExLlama"
+            ],
+            "pip": ["sentencepiece", "https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu118-cp310-cp310-win_amd64.whl"],
+            "install_type": "git-clone",
+            "description": "Nodes: ExLlama Loader, ExLlama Generator.\nUsed to load 4-bit GPTQ Llama/2 models. You can find a lot of them over at [a/https://huggingface.co/TheBloke](https://huggingface.co/TheBloke)[w/NOTE: You need to manually install a pip package that suits your system. For example. If your system is 'Python3.10 + Windows + CUDA 11.8' then you need to install 'exllama-0.0.17+cu118-cp310-cp310-win_amd64.whl'. Available package files are [a/here](https://github.com/jllllll/exllama/releases)]"
+        },
+        {
+            "author": "Zuellni",
+            "title": "ComfyUI ExLlamaV2 Nodes",
+            "id": "exllamav2",
+            "reference": "https://github.com/Zuellni/ComfyUI-ExLlama-Nodes",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-ExLlama-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple local text generator for ComfyUI utilizing [a/ExLlamaV2](https://github.com/turboderp/exllamav2).\n[w/NOTE:Manual package installation is required.]"
+        },
+        {
+            "author": "Zuellni",
+            "title": "ComfyUI PickScore Nodes",
+            "id": "pickscore",
+            "reference": "https://github.com/Zuellni/ComfyUI-PickScore-Nodes",
+            "files": [
+                "https://github.com/Zuellni/ComfyUI-PickScore-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Image scoring nodes for ComfyUI using PickScore with a batch of images to predict which ones fit a given prompt the best."
+        },
+        {
+            "author": "AlekPet",
+            "title": "AlekPet/ComfyUI_Custom_Nodes_AlekPet",
+            "id": "alekpet",
+            "reference": "https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet",
+            "files": [
+                "https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: PoseNode, PainterNode, TranslateTextNode, TranslateCLIPTextEncodeNode, DeepTranslatorTextNode, DeepTranslatorCLIPTextEncodeNode, ArgosTranslateTextNode, ArgosTranslateCLIPTextEncodeNode, PreviewTextNode.\n\nNOTE: Due to the dynamic nature of node name definitions, ComfyUI-Manager cannot recognize the node list from this extension. The Missing nodes and Badge features are not available for this extension."
+        },
+        {
+            "author": "pythongosssss",
+            "title": "ComfyUI WD 1.4 Tagger",
+            "id": "wd14",
+            "reference": "https://github.com/pythongosssss/ComfyUI-WD14-Tagger",
+            "files": [
+                "https://github.com/pythongosssss/ComfyUI-WD14-Tagger"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI extension allowing the interrogation of booru tags from images."
+        },
+        {
+            "author": "pythongosssss",
+            "title": "pythongosssss/ComfyUI-Custom-Scripts",
+            "id": "pygos-script",
+            "reference": "https://github.com/pythongosssss/ComfyUI-Custom-Scripts",
+            "files": [
+                "https://github.com/pythongosssss/ComfyUI-Custom-Scripts"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides: Auto Arrange Graph, Workflow SVG, Favicon Status, Image Feed, Latent Upscale By, Lock Nodes & Groups, Lora Subfolders, Preset Text, Show Text, Touch Support, Link Render Mode, Locking, Node Finder, Quick Nodes, Show Image On Menu, Show Text, Workflow Managements, Custom Widget Default Values"
+        },
+        {
+            "author": "strimmlarn",
+            "title": "ComfyUI_Strimmlarns_aesthetic_score",
+            "id": "aesthetic-score",
+            "reference": "https://github.com/strimmlarn/ComfyUI_Strimmlarns_aesthetic_score",
+            "js_path": "strimmlarn",
+            "files": [
+                "https://github.com/strimmlarn/ComfyUI_Strimmlarns_aesthetic_score"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: CalculateAestheticScore, LoadAesteticModel, AesthetlcScoreSorter, ScoreToNumber"
+        },
+        {
+            "author": "TinyTerra",
+            "title": "ComfyUI_tinyterraNodes",
+            "id": "ttn",
+            "reference": "https://github.com/TinyTerra/ComfyUI_tinyterraNodes",
+            "files": [
+                "https://github.com/TinyTerra/ComfyUI_tinyterraNodes"
+            ],
+            "install_type": "git-clone",
+            "nodename_pattern": "^ttN ",
+            "description": "This extension offers various pipe nodes, extensive XYZ plotting, fullscreen image viewer based on node history, dynamic widgets, interface customization, and more."
+        },
+        {
+            "author": "Jordach",
+            "title": "comfy-plasma",
+            "id": "plasma",
+            "reference": "https://github.com/Jordach/comfy-plasma",
+            "files": [
+                "https://github.com/Jordach/comfy-plasma"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Plasma Noise, Random Noise, Greyscale Noise, Pink Noise, Brown Noise, Plasma KSampler"
+        },
+        {
+            "author": "bvhari",
+            "title": "ImageProcessing",
+            "id": "imageprocessing",
+            "reference": "https://github.com/bvhari/ComfyUI_ImageProcessing",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_ImageProcessing"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI custom nodes to apply various image processing techniques."
+        },
+        {
+            "author": "bvhari",
+            "title": "ComfyUI_PerpWeight",
+            "id": "perpweight",
+            "reference": "https://github.com/bvhari/ComfyUI_PerpWeight",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_PerpWeight"
+            ],
+            "install_type": "git-clone",
+            "description": "A novel weighting scheme for token vectors from CLIP. Allows a wider range of values for the weight. Inspired by Perp-Neg."
+        },
+        {
+            "author": "bvhari",
+            "title": "ComfyUI_SUNoise",
+            "id": "sunoise",
+            "reference": "https://github.com/bvhari/ComfyUI_SUNoise",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_SUNoise"
+            ],
+            "install_type": "git-clone",
+            "description": "Scaled Uniform Noise for Ancestral and Stochastic samplers"
+        },
+        {
+            "author": "ssitu",
+            "title": "UltimateSDUpscale",
+            "id": "usdu",
+            "reference": "https://github.com/ssitu/ComfyUI_UltimateSDUpscale",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_UltimateSDUpscale"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes for the Ultimate Stable Diffusion Upscale script by Coyote-A."
+        },
+        {
+            "author": "ssitu",
+            "title": "Restart Sampling",
+            "id": "restart-sampling",
+            "reference": "https://github.com/ssitu/ComfyUI_restart_sampling",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_restart_sampling"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial ComfyUI nodes for restart sampling based on the paper 'Restart Sampling for Improving Generative Processes' ([a/paper](https://arxiv.org/abs/2306.14878), [a/repo](https://github.com/Newbeeer/diffusion_restart_sampling))"
+        },
+        {
+            "author": "ssitu",
+            "title": "ComfyUI roop",
+            "id": "roop",
+            "reference": "https://github.com/ssitu/ComfyUI_roop",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_roop"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes for the roop A1111 webui script."
+        },
+        {
+            "author": "ssitu",
+            "title": "ComfyUI fabric",
+            "id": "fabric",
+            "reference": "https://github.com/ssitu/ComfyUI_fabric",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_fabric"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes based on the paper [a/FABRIC: Personalizing Diffusion Models with Iterative Feedback](https://arxiv.org/abs/2307.10159) (Feedback via Attention-Based Reference Image Conditioning)"
+        },
+        {
+            "author": "space-nuko",
+            "title": "Disco Diffusion",
+            "id": "disco",
+            "reference": "https://github.com/space-nuko/ComfyUI-Disco-Diffusion",
+            "files": [
+                "https://github.com/space-nuko/ComfyUI-Disco-Diffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "Modularized version of Disco Diffusion for use with ComfyUI."
+        },
+        {
+            "author": "space-nuko",
+            "title": "OpenPose Editor",
+            "id": "openpose-editor",
+            "reference": "https://github.com/space-nuko/ComfyUI-OpenPose-Editor",
+            "files": [
+                "https://github.com/space-nuko/ComfyUI-OpenPose-Editor"
+            ],
+            "install_type": "git-clone",
+            "description": "A port of the openpose-editor extension for stable-diffusion-webui. NOTE: Requires [a/this ComfyUI patch](https://github.com/comfyanonymous/ComfyUI/pull/711) to work correctly"
+        },
+        {
+            "author": "space-nuko",
+            "title": "nui suite",
+            "id": "nui",
+            "reference": "https://github.com/space-nuko/nui-suite",
+            "files": [
+                "https://github.com/space-nuko/nui-suite"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES: Dynamic Prompts Text Encode, Feeling Lucky Text Encode, Output String"
+        },
+        {
+            "author": "Nourepide",
+            "title": "Allor Plugin",
+            "id": "allor",
+            "reference": "https://github.com/Nourepide/ComfyUI-Allor",
+            "files": [
+                "https://github.com/Nourepide/ComfyUI-Allor"
+            ],
+            "install_type": "git-clone",
+            "description": "Allor is a plugin for ComfyUI with an emphasis on transparency and performance."
+        },
+        {
+            "author": "melMass",
+            "title": "MTB Nodes",
+            "id": "mtb",
+            "reference": "https://github.com/melMass/comfy_mtb",
+            "files": [
+                "https://github.com/melMass/comfy_mtb"
+            ],
+            "nodename_pattern": "\\(mtb\\)$",
+            "install_type": "git-clone",
+            "description": "NODES: Face Swap, Film Interpolation, Latent Lerp, Int To Number, Bounding Box, Crop, Uncrop, ImageBlur, Denoise, ImageCompare, RGV to HSV, HSV to RGB, Color Correct, Modulo, Deglaze Image, Smart Step, ..."
+        },
+        {
+            "author": "xXAdonesXx",
+            "title": "NodeGPT",
+            "id": "nodegpt",
+            "reference": "https://github.com/xXAdonesXx/NodeGPT",
+            "files": [
+                "https://github.com/xXAdonesXx/NodeGPT"
+            ],
+            "install_type": "git-clone",
+            "description": "Implementation of AutoGen inside ComfyUI. This repository is under development, and not everything is functioning correctly yet."
+        },
+        {
+            "author": "Suzie1",
+            "title": "Comfyroll Studio",
+            "id": "comfyroll",
+            "reference": "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes",
+            "files": [
+                "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes for SDXL and SD1.5 including Multi-ControlNet, LoRA, Aspect Ratio, Process Switches, and many more nodes. NOTE: Maintainer is changed to Suzie1 from RockOfFire. [w/Using an outdated version has resulted in reported issues with updates not being applied. Trying to reinstall the software is advised.]"
+        },
+        {
+            "author": "bmad4ever",
+            "title": "ComfyUI-Bmad-DirtyUndoRedo",
+            "reference": "https://github.com/bmad4ever/ComfyUI-Bmad-DirtyUndoRedo",
+            "files": [
+                "https://github.com/bmad4ever/ComfyUI-Bmad-DirtyUndoRedo"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI extension that adds undo (and redo) functionality."
+        },
+        {
+            "author": "bmad4ever",
+            "title": "Bmad Nodes",
+            "id": "bmad",
+            "reference": "https://github.com/bmad4ever/comfyui_bmad_nodes",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_bmad_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node offers the following functionalities: API support for setting up API requests, computer vision primarily for masking or collages, and general utility to streamline workflow setup or implement essential missing features."
+        },
+        {
+            "author": "bmad4ever",
+            "title": "comfyui_ab_sampler",
+            "id": "ab-sampler",
+            "reference": "https://github.com/bmad4ever/comfyui_ab_samplercustom",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_ab_samplercustom"
+            ],
+            "install_type": "git-clone",
+            "description": "Experimental sampler node. Sampling alternates between A and B inputs until only one remains, starting with A. B steps run over a 2x2 grid, where 3/4's of the grid are copies of the original input latent. When the optional mask is used, the region outside the defined roi is copied from the original latent at the end of every step."
+        },
+        {
+            "author": "bmad4ever",
+            "title": "Lists Cartesian Product",
+            "reference": "https://github.com/bmad4ever/comfyui_lists_cartesian_product",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_lists_cartesian_product"
+            ],
+            "install_type": "git-clone",
+            "description": "Given a set of lists, the node adjusts them so that when used as input to another node all the possible argument permutations are computed."
+        },
+        {
+            "author": "bmad4ever",
+            "title": "comfyui_wfc_like",
+            "id": "wfc",
+            "reference": "https://github.com/bmad4ever/comfyui_wfc_like",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_wfc_like"
+            ],
+            "install_type": "git-clone",
+            "description": "An 'opinionated' Wave Function Collapse implementation with a set of nodes for comfyui"
+        },
+        {
+            "author": "bmad4ever",
+            "title": "comfyui_quilting",
+            "id": "quilting",
+            "reference": "https://github.com/bmad4ever/comfyui_quilting",
+            "files": [
+                "https://github.com/bmad4ever/comfyui_quilting"
+            ],
+            "install_type": "git-clone",
+            "description": "image and latent quilting nodes for comfyui"
+        },
+        {
+            "author": "FizzleDorf",
+            "title": "FizzNodes",
+            "id": "fizz",
+            "reference": "https://github.com/FizzleDorf/ComfyUI_FizzNodes",
+            "files": [
+                "https://github.com/FizzleDorf/ComfyUI_FizzNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Scheduled prompts, scheduled float/int values and wave function nodes for animations and utility. compatable with [a/framesync](https://www.framesync.xyz/) and [a/keyframe-string-generator](https://www.chigozie.co.uk/keyframe-string-generator/) for audio synced animations in Comfyui."
+        },
+        {
+            "author": "FizzleDorf",
+            "title": "ComfyUI-AIT",
+            "id": "ait",
+            "reference": "https://github.com/FizzleDorf/ComfyUI-AIT",
+            "files": [
+                "https://github.com/FizzleDorf/ComfyUI-AIT"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI implementation of Facebook Meta's [a/AITemplate](https://github.com/facebookincubator/AITemplate) repo for faster inference using cpp/cuda. This new repo is behind the old version but is a much more stable foundation to keep AIT online. Please be patient as the repo will eventually include the same features as before.\nNOTE: You can find the old AIT extension in the legacy channel."
+        },
+        {
+            "author": "filipemeneses",
+            "title": "Pixelization",
+            "id": "pixelization",
+            "reference": "https://github.com/filipemeneses/comfy_pixelization",
+            "files": [
+                "https://github.com/filipemeneses/comfy_pixelization"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI node that pixelizes images."
+        },
+        {
+            "author": "shiimizu",
+            "title": "smZNodes",
+            "id": "smz",
+            "reference": "https://github.com/shiimizu/ComfyUI_smZNodes",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI_smZNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes such as CLIP Text Encode++ to achieve identical embeddings from stable-diffusion-webui for ComfyUI."
+        },
+        {
+            "author": "shiimizu",
+            "title": "Tiled Diffusion & VAE for ComfyUI",
+            "id": "tiled-diffusion",
+            "reference": "https://github.com/shiimizu/ComfyUI-TiledDiffusion",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI-TiledDiffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "The extension enables large image drawing & upscaling with limited VRAM via the following techniques:\n1.Two SOTA diffusion tiling algorithms: [a/Mixture of Diffusers](https://github.com/albarji/mixture-of-diffusers) and [a/MultiDiffusion](https://github.com/omerbt/MultiDiffusion)\n2.pkuliyi2015's Tiled VAE algorithm."
+        },
+        {
+            "author": "shiimizu",
+            "title": "ComfyUI PhotoMaker Plus",
+            "id": "photomaker-plus",
+            "reference": "https://github.com/shiimizu/ComfyUI-PhotoMaker-Plus",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI-PhotoMaker-Plus"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI reference implementation for [a/PhotoMaker](https://github.com/TencentARC/PhotoMaker) models.\nNOTE: PhotoMaker V2 is supported."
+        },
+        {
+            "author": "shiimizu",
+            "title": "Semantic-aware Guidance (S-CFG)",
+            "id": "s-cfg",
+            "reference": "https://github.com/shiimizu/ComfyUI-semantic-aware-guidance",
+            "files": [
+                "https://github.com/shiimizu/ComfyUI-semantic-aware-guidance"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI node for Semantic-aware Guidance based on the [a/paper](https://arxiv.org/abs/2404.05384) 'Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance'"
+        },
+        {
+            "author": "ZaneA",
+            "title": "ImageReward",
+            "reference": "https://github.com/ZaneA/ComfyUI-ImageReward",
+            "files": [
+                "https://github.com/ZaneA/ComfyUI-ImageReward"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES: ImageRewardLoader, ImageRewardScore"
+        },
+        {
+            "author": "SeargeDP",
+            "title": "SeargeSDXL",
+            "id": "searge",
+            "reference": "https://github.com/SeargeDP/SeargeSDXL",
+            "files": [
+                "https://github.com/SeargeDP/SeargeSDXL"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes for easier use of SDXL in ComfyUI including an img2img workflow that utilizes both the base and refiner checkpoints."
+        },
+        {
+            "author": "SeargeDP",
+            "title": "Searge-LLM for ComfyUI v1.0",
+            "reference": "https://github.com/SeargeDP/ComfyUI_Searge_LLM",
+            "files": [
+                "https://github.com/SeargeDP/ComfyUI_Searge_LLM"
+            ],
+            "install_type": "git-clone",
+            "description": "A prompt-generator or prompt-improvement node for ComfyUI, utilizing the power of a language model to turn a provided text-to-image prompt into a more detailed and improved prompt."
+        },
+        {
+            "author": "cubiq",
+            "title": "Simple Math",
+            "id": "simplemath",
+            "reference": "https://github.com/cubiq/ComfyUI_SimpleMath",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_SimpleMath"
+            ],
+            "install_type": "git-clone",
+            "description": "custom node for ComfyUI to perform simple math operations"
+        },
+        {
+            "author": "cubiq",
+            "title": "ComfyUI_IPAdapter_plus",
+            "id": "ipadapter",
+            "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_IPAdapter_plus"
+            ],
+            "preemptions": [
+                "IPAAdapterFaceIDBatch",
+                "IPAdapter",
+                "IPAdapterAdvanced",
+                "IPAdapterBatch",
+                "IPAdapterClipVisionEnhancer",
+                "IPAdapterClipVisionEnhancerBatch",
+                "IPAdapterCombineEmbeds",
+                "IPAdapterCombineParams",
+                "IPAdapterCombineWeights",
+                "IPAdapterEmbeds",
+                "IPAdapterEmbedsBatch",
+                "IPAdapterEncoder",
+                "IPAdapterFaceID",
+                "IPAdapterFromParams",
+                "IPAdapterInsightFaceLoader",
+                "IPAdapterLoadEmbeds",
+                "IPAdapterMS",
+                "IPAdapterModelLoader",
+                "IPAdapterNoise",
+                "IPAdapterPreciseComposition",
+                "IPAdapterPreciseCompositionBatch",
+                "IPAdapterPreciseStyleTransfer",
+                "IPAdapterPreciseStyleTransferBatch",
+                "IPAdapterPromptScheduleFromWeightsStrategy",
+                "IPAdapterRegionalConditioning",
+                "IPAdapterSaveEmbeds",
+                "IPAdapterStyleComposition",
+                "IPAdapterStyleCompositionBatch",
+                "IPAdapterTiled",
+                "IPAdapterTiledBatch",
+                "IPAdapterUnifiedLoader",
+                "IPAdapterUnifiedLoaderCommunity",
+                "IPAdapterUnifiedLoaderFaceID",
+                "IPAdapterWeights",
+                "IPAdapterWeightsFromStrategy",
+                "PrepImageForClipVision"
+            ],
+            "pip": ["insightface"],
+            "install_type": "git-clone",
+            "description": "ComfyUI reference implementation for IPAdapter models. The code is mostly taken from the original IPAdapter repository and laksjdjf's implementation, all credit goes to them. I just made the extension closer to ComfyUI philosophy."
+        },
+        {
+            "author": "cubiq",
+            "title": "ComfyUI InstantID (Native Support)",
+            "id": "instantid",
+            "reference": "https://github.com/cubiq/ComfyUI_InstantID",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_InstantID"
+            ],
+            "install_type": "git-clone",
+            "description": "Native [a/InstantID](https://github.com/InstantID/InstantID) support for ComfyUI.\nThis extension differs from the many already available as it doesn't use diffusers but instead implements InstantID natively and it fully integrates with ComfyUI.\nPlease note this still could be considered beta stage, looking forward to your feedback."
+        },
+        {
+            "author": "cubiq",
+            "title": "Face Analysis for ComfyUI",
+            "id": "faceanalysis",
+            "reference": "https://github.com/cubiq/ComfyUI_FaceAnalysis",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_FaceAnalysis"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension uses [a/DLib](http://dlib.net/) to calculate the Euclidean and Cosine distance between two faces.\nNOTE: Install the Shape Predictor, Face Recognition model from the Install models menu."
+        },
+        {
+            "author": "cubiq",
+            "title": "PuLID_ComfyUI",
+            "id": "pulid",
+            "reference": "https://github.com/cubiq/PuLID_ComfyUI",
+            "files": [
+                "https://github.com/cubiq/PuLID_ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/PuLID](https://github.com/ToTheBeginning/PuLID) ComfyUI native implementation."
+        },
+        {
+            "author": "shockz0rz",
+            "title": "InterpolateEverything",
+            "id": "interpolate-everything",
+            "reference": "https://github.com/shockz0rz/ComfyUI_InterpolateEverything",
+            "files": [
+                "https://github.com/shockz0rz/ComfyUI_InterpolateEverything"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Interpolate Poses, Interpolate Lineart, ... Custom nodes for interpolating between, well, everything in the Stable Diffusion ComfyUI."
+        },
+        {
+            "author": "shockz0rz",
+            "title": "comfy-easy-grids",
+            "id": "easy-grids",
+            "reference": "https://github.com/shockz0rz/comfy-easy-grids",
+            "files": [
+                "https://github.com/shockz0rz/comfy-easy-grids"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of custom nodes for creating image grids, sequences, and batches in ComfyUI."
+        },
+        {
+            "author": "yolanother",
+            "title": "Comfy UI Prompt Agent",
+            "id": "prompt-agent",
+            "reference": "https://github.com/yolanother/DTAIComfyPromptAgent",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyPromptAgent"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Prompt Agent, Prompt Agent (String). This script provides a prompt agent node for the Comfy UI stable diffusion client."
+        },
+        {
+            "author": "yolanother",
+            "title": "Image to Text Node",
+            "id": "dta-img2txt",
+            "reference": "https://github.com/yolanother/DTAIImageToTextNode",
+            "files": [
+                "https://github.com/yolanother/DTAIImageToTextNode"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Image URL to Text, Image to Text."
+        },
+        {
+            "author": "yolanother",
+            "title": "Comfy UI Online Loaders",
+            "id": "dta-loader",
+            "reference": "https://github.com/yolanother/DTAIComfyLoaders",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyLoaders"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Submit Image (Parameters), Submit Image. A collection of loaders that use a shared common online data source rather than relying on the files to be present locally."
+        },
+        {
+            "author": "yolanother",
+            "title": "Comfy AI DoubTech.ai Image Sumission Node",
+            "id": "dta-submit",
+            "reference": "https://github.com/yolanother/DTAIComfyImageSubmit",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyImageSubmit"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyAI submit node to upload images to DoubTech.ai"
+        },
+        {
+            "author": "yolanother",
+            "title": "Comfy UI QR Codes",
+            "id": "dta-qr",
+            "reference": "https://github.com/yolanother/DTAIComfyQRCodes",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyQRCodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension introduces QR code nodes for the Comfy UI stable diffusion client. NOTE: ComfyUI qrcode extension required."
+        },
+        {
+            "author": "yolanother",
+            "title": "Variables for Comfy UI",
+            "id": "dta-var",
+            "reference": "https://github.com/yolanother/DTAIComfyVariables",
+            "files": [
+                "https://github.com/yolanother/DTAIComfyVariables"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: String, Int, Float, Short String, CLIP Text Encode (With Variables), String Format, Short String Format. This extension introduces quality of life improvements by providing variable nodes and shared global variables."
+        },
+        {
+            "author": "sipherxyz",
+            "title": "comfyui-art-venture",
+            "id": "artventure",
+            "reference": "https://github.com/sipherxyz/comfyui-art-venture",
+            "files": [
+                "https://github.com/sipherxyz/comfyui-art-venture"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: ImagesConcat, LoadImageFromUrl, AV_UploadImage"
+        },
+        {
+            "author": "SOELexicon",
+            "title": "LexMSDBNodes",
+            "id": "lexmsdb",
+            "reference": "https://github.com/SOELexicon/ComfyUI-LexMSDBNodes",
+            "files": [
+                "https://github.com/SOELexicon/ComfyUI-LexMSDBNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: MSSqlTableNode, MSSqlSelectNode. This extension provides custom nodes to interact with MSSQL."
+        },
+        {
+            "author": "pants007",
+            "title": "pants",
+            "reference": "https://github.com/pants007/comfy-pants",
+            "files": [
+                "https://github.com/pants007/comfy-pants"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Make Square Node, Interrogate Node, TextEncodeAIO"
+        },
+        {
+            "author": "evanspearman",
+            "title": "ComfyMath",
+            "id": "comfymath",
+            "reference": "https://github.com/evanspearman/ComfyMath",
+            "files": [
+                "https://github.com/evanspearman/ComfyMath"
+            ],
+            "install_type": "git-clone",
+            "description": "Provides Math Nodes for ComfyUI. Boolean Logic, Integer Arithmetic, Floating Point Arithmetic and Functions, Vec2, Vec3, and Vec4 Arithmetic and Functions"
+        },
+        {
+            "author": "civitai",
+            "title": "comfy-nodes",
+            "id": "civitai",
+            "reference": "https://github.com/civitai/comfy-nodes",
+            "files": [
+                "https://github.com/civitai/comfy-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: CivitAI_Loaders. Load Checkpoints, and LORA models directly from CivitAI API."
+        },
+        {
+            "author": "andersxa",
+            "title": "CLIP Directional Prompt Attention",
+            "id": "prompt-attention",
+            "reference": "https://github.com/andersxa/comfyui-PromptAttention",
+            "files": [
+                "https://github.com/andersxa/comfyui-PromptAttention"
+            ],
+            "pip": ["scikit-learn", "matplotlib"],
+            "install_type": "git-clone",
+            "description": "Nodes: CLIP Directional Prompt Attention Encode. Direction prompt attention tries to solve the problem of contextual words (or parts of the prompt) having an effect on much later or irrelevant parts of the prompt."
+        },
+        {
+            "author": "ArtVentureX",
+            "title": "AnimateDiff",
+            "reference": "https://github.com/ArtVentureX/comfyui-animatediff",
+            "pip": ["flash_attn"],
+            "files": [
+                "https://github.com/ArtVentureX/comfyui-animatediff"
+            ],
+            "install_type": "git-clone",
+            "description": "AnimateDiff integration for ComfyUI, adapts from sd-webui-animatediff.\n[w/You only need to download one of [a/mm_sd_v14.ckpt](https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v14.ckpt) | [a/mm_sd_v15.ckpt](https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15.ckpt). Put the model weights under %%ComfyUI/custom_nodes/comfyui-animatediff/models%%. DO NOT change model filename.]"
+        },
+        {
+            "author": "twri",
+            "title": "SDXL Prompt Styler",
+            "id": "twri-styler",
+            "reference": "https://github.com/twri/sdxl_prompt_styler",
+            "files": [
+                "https://github.com/twri/sdxl_prompt_styler"
+            ],
+            "install_type": "git-clone",
+            "description": "SDXL Prompt Styler is a node that enables you to style prompts based on predefined templates stored in a JSON file."
+        },
+        {
+            "author": "wolfden",
+            "title": "SDXL Prompt Styler (customized version by wolfden)",
+            "id": "wolfden-styler",
+            "reference": "https://github.com/wolfden/ComfyUi_PromptStylers",
+            "files": [
+                "https://github.com/wolfden/ComfyUi_PromptStylers"
+            ],
+            "install_type": "git-clone",
+            "description": "These custom nodes provide a variety of customized prompt stylers based on [a/twri/SDXL Prompt Styler](https://github.com/twri/sdxl_prompt_styler)."
+        },
+        {
+            "author": "wolfden",
+            "title": "ComfyUi_String_Function_Tree",
+            "id": "str-func-tree",
+            "reference": "https://github.com/wolfden/ComfyUi_String_Function_Tree",
+            "files": [
+                "https://github.com/wolfden/ComfyUi_String_Function_Tree"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node provides the capability to manipulate multiple string inputs."
+        },
+        {
+            "author": "daxthin",
+            "title": "DZ-FaceDetailer",
+            "id": "dz-facedetailer",
+            "reference": "https://github.com/daxthin/DZ-FaceDetailer",
+            "files": [
+                "https://github.com/daxthin/DZ-FaceDetailer"
+            ],
+            "install_type": "git-clone",
+            "description": "Face Detailer is a custom node for the 'ComfyUI' framework inspired by !After Detailer extension from auto1111, it allows you to detect faces using Mediapipe and YOLOv8n to create masks for the detected faces."
+        },
+        {
+            "author": "asagi4",
+            "title": "ComfyUI prompt control",
+            "id": "prompt-control",
+            "reference": "https://github.com/asagi4/comfyui-prompt-control",
+            "files": [
+                "https://github.com/asagi4/comfyui-prompt-control"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes for convenient prompt editing. The aim is to make basic generations in ComfyUI completely prompt-controllable."
+        },
+        {
+            "author": "asagi4",
+            "title": "ComfyUI-CADS",
+            "id": "cads",
+            "reference": "https://github.com/asagi4/ComfyUI-CADS",
+            "files": [
+                "https://github.com/asagi4/ComfyUI-CADS"
+            ],
+            "install_type": "git-clone",
+            "description": "Attempts to implement [a/CADS](https://arxiv.org/abs/2310.17347) for ComfyUI. Credit also to the [a/A1111 implementation](https://github.com/v0xie/sd-webui-cads/tree/main) that I used as a reference."
+        },
+        {
+            "author": "asagi4",
+            "title": "asagi4/comfyui-utility-nodes",
+            "id": "asagi-nodes",
+            "reference": "https://github.com/asagi4/comfyui-utility-nodes",
+            "files": [
+                "https://github.com/asagi4/comfyui-utility-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:MUJinjaRender, MUSimpleWildcard"
+        },
+        {
+            "author": "asagi4",
+            "title": "Adaptive Guidance for ComfyUI",
+            "id": "comfyui-adaptive-guidance",
+            "reference": "https://github.com/asagi4/ComfyUI-Adaptive-Guidance",
+            "files": [
+                "https://github.com/asagi4/ComfyUI-Adaptive-Guidance"
+            ],
+            "install_type": "git-clone",
+            "description": "An implementation of adaptive guidance for ComfyUI\nSee [a/https://bcv-uniandes.github.io/adaptiveguidance-wp](https://bcv-uniandes.github.io/adaptiveguidance-wp)"
+        },
+        {
+            "author": "jamesWalker55",
+            "title": "ComfyUI - P2LDGAN Node",
+            "id": "p2ldgan",
+            "reference": "https://github.com/jamesWalker55/comfyui-p2ldgan",
+            "files": [
+                "https://github.com/jamesWalker55/comfyui-p2ldgan"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: P2LDGAN. This integrates P2LDGAN into ComfyUI. P2LDGAN extracts lineart from input images.\n[w/To use this extension, you need to download the [a/p2ldgan model](https://drive.google.com/file/d/1To4V_Btc3QhCLBWZ0PdSNgC1cbm3isHP) and save it in the %%ComfyUI/custom_nodes/comfyui-p2ldgan/checkpoints%% directory.]"
+        },
+        {
+            "author": "jamesWalker55",
+            "title": "Various ComfyUI Nodes by Type",
+            "id": "jameswalker-nodes",
+            "reference": "https://github.com/jamesWalker55/comfyui-various",
+            "files": [
+                "https://github.com/jamesWalker55/comfyui-various"
+            ],
+            "nodename_pattern": "^JW",
+            "install_type": "git-clone",
+            "description": "Nodes: JWInteger, JWFloat, JWString, JWImageLoadRGB, JWImageResize, ..."
+        },
+        {
+            "author": "adieyal",
+            "title": "DynamicPrompts Custom Nodes",
+            "id": "dynamicprompt",
+            "reference": "https://github.com/adieyal/comfyui-dynamicprompts",
+            "files": [
+                "https://github.com/adieyal/comfyui-dynamicprompts"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Random Prompts, Combinatorial Prompts, I'm Feeling Lucky, Magic Prompt, Jinja2 Templates. ComfyUI-DynamicPrompts is a custom nodes library that integrates into your existing ComfyUI Library. It provides nodes that enable the use of Dynamic Prompts in your ComfyUI."
+        },
+        {
+            "author": "mihaiiancu",
+            "title": "mihaiiancu/Inpaint",
+            "id": "inpaint",
+            "reference": "https://github.com/mihaiiancu/ComfyUI_Inpaint",
+            "files": [
+                "https://github.com/mihaiiancu/ComfyUI_Inpaint"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: InpaintMediapipe. This node provides a simple interface to inpaint."
+        },
+        {
+            "author": "kwaroran",
+            "title": "abg-comfyui",
+            "id": "abg",
+            "reference": "https://github.com/kwaroran/abg-comfyui",
+            "files": [
+                "https://github.com/kwaroran/abg-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Remove Image Background (abg). A Anime Background Remover node for comfyui, based on this hf space, works same as AGB extention in automatic1111."
+        },
+        {
+            "author": "bash-j",
+            "title": "Mikey Nodes",
+            "id": "mikey",
+            "reference": "https://github.com/bash-j/mikey_nodes",
+            "files": [
+                "https://github.com/bash-j/mikey_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Prompt With Style, Prompt With SDXL, Resize Image for SDXL, Save Image With Prompt Data, HaldCLUT, Empty Latent Ratio Select/Custom SDXL"
+        },
+        {
+            "author": "blib-la",
+            "title": "blibla-comfyui-extensions",
+            "id": "blibla-comfyui-extensions",
+            "reference": "https://github.com/blib-la/blibla-comfyui-extensions",
+            "files": [
+                "https://github.com/blib-la/blibla-comfyui-extensions"
+            ],
+            "install_type": "git-clone",
+            "description": "node color customization, custom colors, dot reroutes, link rendering options, straight lines, group freezing, node pinning, automated arrangement of nodes, copy image\n[w/failfast-comfyui-extensions is renamed to blibla-comfyui-extensions. Please resintall to this.]"
+        },
+        {
+            "author": "Pfaeff",
+            "title": "pfaeff-comfyui",
+            "id": "pfaeff",
+            "reference": "https://github.com/Pfaeff/pfaeff-comfyui",
+            "files": [
+                "https://github.com/Pfaeff/pfaeff-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: AstropulsePixelDetector, BackgroundRemover, ImagePadForBetterOutpaint, InpaintingPipelineLoader, Inpainting, ..."
+        },
+        {
+            "author": "wallish77",
+            "title": "wlsh_nodes",
+            "id": "wlsh",
+            "reference": "https://github.com/wallish77/wlsh_nodes",
+            "files": [
+                "https://github.com/wallish77/wlsh_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Checkpoint Loader with Name, Save Prompt Info, Outpaint to Image, CLIP Positive-Negative, SDXL Quick Empty Latent, Empty Latent by Ratio, Time String, SDXL Steps, SDXL Resolutions ..."
+        },
+        {
+            "author": "Kosinkadink",
+            "title": "ComfyUI-Advanced-ControlNet",
+            "id": "adv-cnet",
+            "reference": "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet",
+            "files": [
+                "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes for scheduling ControlNet strength across timesteps and batched latents, as well as applying custom weights and attention masks."
+        },
+        {
+            "author": "Kosinkadink",
+            "title": "AnimateDiff Evolved",
+            "id": "ad-evolved",
+            "reference": "https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved",
+            "files": [
+                "https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved"
+            ],
+            "install_type": "git-clone",
+            "description": "A forked repository that actively maintains [a/AnimateDiff](https://github.com/ArtVentureX/comfyui-animatediff), created by ArtVentureX.\n\nImproved AnimateDiff integration for ComfyUI, adapts from sd-webui-animatediff.\n[w/Download one or more motion models from [a/Original Models](https://huggingface.co/guoyww/animatediff/tree/main) | [a/Finetuned Models](https://huggingface.co/manshoety/AD_Stabilized_Motion/tree/main). See README for additional model links and usage. Put the model weights under %%ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/models%%. You are free to rename the models, but keeping original names will ease use when sharing your workflow.]"
+        },
+        {
+            "author": "Kosinkadink",
+            "title": "ComfyUI-VideoHelperSuite",
+            "id": "vhs",
+            "reference": "https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite",
+            "files": [
+                "https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes related to video workflows"
+        },
+        {
+            "author": "Gourieff",
+            "title": "ReActor Node for ComfyUI",
+            "id": "reactor",
+            "reference": "https://github.com/Gourieff/comfyui-reactor-node",
+            "files": [
+                "https://github.com/Gourieff/comfyui-reactor-node"
+            ],
+            "install_type": "git-clone",
+            "description": "The Fast and Simple 'roop-like' Face Swap Extension Node for ComfyUI, based on ReActor (ex Roop-GE) SD-WebUI Face Swap Extension"
+        },
+        {
+            "author": "Gourieff",
+            "title": "ComfyUI-FutureWarningIgnore",
+            "id": "futureignore",
+            "reference": "https://github.com/Gourieff/ComfyUI-FutureWarningIgnore",
+            "files": [
+                "https://github.com/Gourieff/ComfyUI-FutureWarningIgnore/raw/main/0_FutureWarningIgnore.py"
+            ],
+            "install_type": "copy",
+            "description": "This extension collapses 'future warning' messages in your Console"
+        },
+        {
+            "author": "imb101",
+            "title": "FaceSwap",
+            "id": "faceswap",
+            "reference": "https://github.com/imb101/ComfyUI-FaceSwap",
+            "files": [
+                "https://github.com/imb101/ComfyUI-FaceSwap"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:FaceSwapNode. Very basic custom node to enable face swapping in ComfyUI. (roop)"
+        },
+        {
+            "author": "Chaoses-Ib",
+            "title": "ComfyUI_Ib_CustomNodes",
+            "id": "ib-nodes",
+            "reference": "https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes",
+            "files": [
+                "https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: LoadImageFromPath. Load Image From Path loads the image from the source path and does not have such problems."
+        },
+        {
+            "author": "AIrjen",
+            "title": "One Button Prompt",
+            "id": "1button",
+            "reference": "https://github.com/AIrjen/OneButtonPrompt",
+            "files": [
+                "https://github.com/AIrjen/OneButtonPrompt"
+            ],
+            "install_type": "git-clone",
+            "description": "One Button Prompt has a prompt generation node for beginners who have problems writing a good prompt, or advanced users who want to get inspired. It generates an entire prompt from scratch. It is random, but controlled. You simply load up the script and press generate, and let it surprise you."
+        },
+        {
+            "author": "coreyryanhanson",
+            "title": "ComfyQR",
+            "id": "comfyqr",
+            "reference": "https://github.com/coreyryanhanson/ComfyQR",
+            "files": [
+                "https://github.com/coreyryanhanson/ComfyQR"
+            ],
+            "install_type": "git-clone",
+            "description": "QR generation within ComfyUI. Contains nodes suitable for workflows from generating basic QR images to techniques with advanced QR masking."
+        },
+        {
+            "author": "coreyryanhanson",
+            "title": "ComfyQR-scanning-nodes",
+            "id": "comfyqr-scanning",
+            "reference": "https://github.com/coreyryanhanson/ComfyQR-scanning-nodes",
+            "files": [
+                "https://github.com/coreyryanhanson/ComfyQR-scanning-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of ComfyUI nodes to quickly test generated QR codes for scannability. A companion project to ComfyQR."
+        },
+        {
+            "author": "dimtoneff",
+            "title": "ComfyUI PixelArt Detector",
+            "id": "pixelart-detector",
+            "reference": "https://github.com/dimtoneff/ComfyUI-PixelArt-Detector",
+            "files": [
+                "https://github.com/dimtoneff/ComfyUI-PixelArt-Detector"
+            ],
+            "install_type": "git-clone",
+            "description": "This node manipulates the pixel art image in ways that it should look pixel perfect (downscales, changes palette, upscales etc.)."
+        },
+        {
+            "author": "dimtoneff",
+            "title": "Eagle PNGInfo",
+            "id": "eaglepnginfo",
+            "reference": "https://github.com/hylarucoder/ComfyUI-Eagle-PNGInfo",
+            "files": [
+                "https://github.com/hylarucoder/ComfyUI-Eagle-PNGInfo"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: EagleImageNode"
+        },
+        {
+            "author": "theUpsider",
+            "title": "Styles CSV Loader Extension for ComfyUI",
+            "id": "styles-csv-loader",
+            "reference": "https://github.com/theUpsider/ComfyUI-Styles_CSV_Loader",
+            "files": [
+                "https://github.com/theUpsider/ComfyUI-Styles_CSV_Loader"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension allows users to load styles from a CSV file, primarily for migration purposes from the automatic1111 Stable Diffusion web UI."
+        },
+        {
+            "author": "theUpsider",
+            "title": "ComfyUI-Logic",
+            "id": "comfy-logic",
+            "reference": "https://github.com/theUpsider/ComfyUI-Logic",
+            "files": [
+                "https://github.com/theUpsider/ComfyUI-Logic"
+            ],
+            "install_type": "git-clone",
+            "description": "An extension to ComfyUI that introduces logic nodes and conditional rendering capabilities."
+        },
+        {
+            "author": "M1kep",
+            "title": "Comfy_KepListStuff",
+            "id": "keplist",
+            "reference": "https://github.com/M1kep/Comfy_KepListStuff",
+            "files": [
+                "https://github.com/M1kep/Comfy_KepListStuff"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Range(Step), Range(Num Steps), List Length, Image Overlay, Stack Images, Empty Images, Join Image Lists, Join Float Lists. This extension provides various list manipulation nodes"
+        },
+        {
+            "author": "M1kep",
+            "title": "ComfyLiterals",
+            "id": "comfyliterals",
+            "reference": "https://github.com/M1kep/ComfyLiterals",
+            "files": [
+                "https://github.com/M1kep/ComfyLiterals"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Int, Float, String, Operation, Checkpoint"
+        },
+        {
+            "author": "M1kep",
+            "title": "KepPromptLang",
+            "id": "kepprompt",
+            "reference": "https://github.com/M1kep/KepPromptLang",
+            "files": [
+                "https://github.com/M1kep/KepPromptLang"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Build Gif, Special CLIP Loader. It offers various manipulation capabilities for the internal operations of the prompt."
+        },
+        {
+            "author": "M1kep",
+            "title": "Comfy_KepMatteAnything",
+            "id": "kepmatte",
+            "reference": "https://github.com/M1kep/Comfy_KepMatteAnything",
+            "files": [
+                "https://github.com/M1kep/Comfy_KepMatteAnything"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides a custom node that allows the use of [a/Matte Anything](https://github.com/hustvl/Matte-Anything) in ComfyUI."
+        },
+        {
+            "author": "M1kep",
+            "title": "Comfy_KepKitchenSink",
+            "id": "kepkitchen",
+            "reference": "https://github.com/M1kep/Comfy_KepKitchenSink",
+            "files": [
+                "https://github.com/M1kep/Comfy_KepKitchenSink"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: KepRotateImage"
+        },
+        {
+            "author": "M1kep",
+            "title": "ComfyUI-OtherVAEs",
+            "id": "kep-othervae",
+            "reference": "https://github.com/M1kep/ComfyUI-OtherVAEs",
+            "files": [
+                "https://github.com/M1kep/ComfyUI-OtherVAEs"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: TAESD VAE Decode"
+        },
+        {
+            "author": "M1kep",
+            "title": "ComfyUI-KepOpenAI",
+            "id": "kep-openai",
+            "reference": "https://github.com/M1kep/ComfyUI-KepOpenAI",
+            "files": [
+                "https://github.com/M1kep/ComfyUI-KepOpenAI"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-KepOpenAI is a user-friendly node that serves as an interface to the GPT-4 with Vision (GPT-4V) API. This integration facilitates the processing of images coupled with text prompts, leveraging the capabilities of the OpenAI API to generate text completions that are contextually relevant to the provided inputs."
+        },
+        {
+            "author": "uarefans",
+            "title": "ComfyUI-Fans",
+            "id": "fans",
+            "reference": "https://github.com/uarefans/ComfyUI-Fans",
+            "files": [
+                "https://github.com/uarefans/ComfyUI-Fans"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Fans Styler (Max 10 Style), Fans Text Concat (Until 10 text), Fans Prompt Styler Postive (Can replace {prompt} word in your csv files), Fans Prompt Styler Negative (With sentence structure)."
+        },
+        {
+            "author": "NicholasMcCarthy",
+            "title": "ComfyUI_TravelSuite",
+            "id": "travel",
+            "reference": "https://github.com/NicholasMcCarthy/ComfyUI_TravelSuite",
+            "files": [
+                "https://github.com/NicholasMcCarthy/ComfyUI_TravelSuite"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI custom nodes to apply various latent travel techniques."
+        },
+        {
+            "author": "ManglerFTW",
+            "title": "ComfyI2I",
+            "id": "comfyi2i",
+            "reference": "https://github.com/ManglerFTW/ComfyI2I",
+            "files": [
+                "https://github.com/ManglerFTW/ComfyI2I"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of custom nodes to perform image 2 image functions in ComfyUI."
+        },
+        {
+            "author": "mpiquero7164",
+            "title": "SaveImgPrompt",
+            "id": "save-imgprompt",
+            "reference": "https://github.com/mpiquero7164/ComfyUI-SaveImgPrompt",
+            "files": [
+                "https://github.com/mpiquero7164/ComfyUI-SaveImgPrompt"
+            ],
+            "install_type": "git-clone",
+            "description": "Save a png or jpeg and option to save prompt/workflow in a text or json file for each image in Comfy + Workflow loading."
+        },
+        {
+            "author": "m-sokes",
+            "title": "ComfyUI Sokes Nodes",
+            "id": "sokes",
+            "reference": "https://github.com/m-sokes/ComfyUI-Sokes-Nodes",
+            "files": [
+                "https://github.com/m-sokes/ComfyUI-Sokes-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Empty Latent Randomizer (9 Inputs)"
+        },
+        {
+            "author": "Extraltodeus",
+            "title": "noise latent perlinpinpin",
+            "id": "perlipinpin",
+            "reference": "https://github.com/Extraltodeus/noise_latent_perlinpinpin",
+            "files": [
+                "https://github.com/Extraltodeus/noise_latent_perlinpinpin"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: NoisyLatentPerlin. This allows to create latent spaces filled with perlin-based noise that can actually be used by the samplers."
+        },
+        {
+            "author": "Extraltodeus",
+            "title": "LoadLoraWithTags",
+            "reference": "https://github.com/Extraltodeus/LoadLoraWithTags",
+            "files": [
+                "https://github.com/Extraltodeus/LoadLoraWithTags"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:LoadLoraWithTags. Save/Load trigger words for loras from a json and auto fetch them on civitai if they are missing."
+        },
+        {
+            "author": "Extraltodeus",
+            "title": "sigmas_tools_and_the_golden_scheduler",
+            "id": "sigmas-tools",
+            "reference": "https://github.com/Extraltodeus/sigmas_tools_and_the_golden_scheduler",
+            "files": [
+                "https://github.com/Extraltodeus/sigmas_tools_and_the_golden_scheduler"
+            ],
+            "install_type": "git-clone",
+            "description": "A few nodes to mix sigmas and a custom scheduler that uses phi, then one using eval() to be able to schedule with custom formulas."
+        },
+        {
+            "author": "Extraltodeus",
+            "title": "ComfyUI-AutomaticCFG",
+            "id": "autocfg",
+            "reference": "https://github.com/Extraltodeus/ComfyUI-AutomaticCFG",
+            "files": [
+                "https://github.com/Extraltodeus/ComfyUI-AutomaticCFG"
+            ],
+            "install_type": "git-clone",
+            "description": "My own version 'from scratch' of a self-rescaling CFG. It isn't much but it's honest work.\nTLDR: set your CFG at 8 to try it. No burned images and artifacts anymore. CFG is also a bit more sensitive because it's a proportion around 8. Low scale like 4 also gives really nice results since your CFG is not the CFG anymore. Also in general even with relatively low settings it seems to improve the quality."
+        },
+        {
+            "author": "Extraltodeus",
+            "title": "Vector_Sculptor_ComfyUI",
+            "id": "vector-sculptor",
+            "reference": "https://github.com/Extraltodeus/Vector_Sculptor_ComfyUI",
+            "files": [
+                "https://github.com/Extraltodeus/Vector_Sculptor_ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "The main node makes your conditioning go towards similar concepts so to enrich your composition or further away so to make it more precise. It gathers similar pre-cond vectors for as long as the cosine similarity score diminishes. If it climbs back it stops. This allows to set a relative direction to similar concepts.\nThere are examples at the end but [a/you can also check this imgur album](https://imgur.com/a/WvPd81Y) which demonstrates the capability of improving variety."
+        },
+        {
+            "author": "Extraltodeus",
+            "title": "Stable-Diffusion-temperature-settings",
+            "id": "sd-temperature",
+            "reference": "https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings",
+            "files": [
+                "https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings"
+            ],
+            "install_type": "git-clone",
+            "description": "Provides the ability to set the temperature for both UNET and CLIP. For ComfyUI."
+        },
+        {
+            "author": "Extraltodeus",
+            "title": "Uncond-Zero-for-ComfyUI",
+            "id": "uncond-zero",
+            "reference": "https://github.com/Extraltodeus/Uncond-Zero-for-ComfyUI",
+            "files": [
+                "https://github.com/Extraltodeus/Uncond-Zero-for-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Allows to sample without generating any uncond with Stable Diffusion!"
+        },
+        {
+            "author": "Extraltodeus",
+            "title": "pre_cfg_comfy_nodes_for_ComfyUI",
+            "id": "precfg",
+            "reference": "https://github.com/Extraltodeus/pre_cfg_comfy_nodes_for_ComfyUI",
+            "files": [
+                "https://github.com/Extraltodeus/pre_cfg_comfy_nodes_for_ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of nodes to prepare the noise predictions before the CFG function"
+        },
+        {
+            "author": "Extraltodeus",
+            "title": "Skimmed_CFG",
+            "id": "skimmed-cfg",
+            "reference": "https://github.com/Extraltodeus/Skimmed_CFG",
+            "files": [
+                "https://github.com/Extraltodeus/Skimmed_CFG"
+            ],
+            "install_type": "git-clone",
+            "description": "A powerful anti-burn allowing much higher CFG scales for latent diffusion models (for ComfyUI)"
+        },
+        {
+            "author": "JPS",
+            "title": "JPS Custom Nodes for ComfyUI",
+            "id": "jps-nodes",
+            "reference": "https://github.com/JPS-GER/ComfyUI_JPS-Nodes",
+            "files": [
+                "https://github.com/JPS-GER/ComfyUI_JPS-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Various nodes to handle SDXL Resolutions, SDXL Basic Settings, IP Adapter Settings, Revision Settings, SDXL Prompt Styler, Crop Image to Square, Crop Image to Target Size, Get Date-Time String, Resolution Multiply, Largest Integer, 5-to-1 Switches for Integer, Images, Latents, Conditioning, Model, VAE, ControlNet"
+        },
+        {
+            "author": "hustille",
+            "title": "hus' utils for ComfyUI",
+            "id": "husutil",
+            "reference": "https://github.com/hustille/ComfyUI_hus_utils",
+            "files": [
+                "https://github.com/hustille/ComfyUI_hus_utils"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes primarily for seed and filename generation"
+        },
+        {
+            "author": "hustille",
+            "title": "ComfyUI_Fooocus_KSampler",
+            "id": "fooocus-ksampler",
+            "reference": "https://github.com/hustille/ComfyUI_Fooocus_KSampler",
+            "files": [
+                "https://github.com/hustille/ComfyUI_Fooocus_KSampler"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: KSampler With Refiner (Fooocus). The KSampler from [a/Fooocus](https://github.com/lllyasviel/Fooocus) as a ComfyUI node [w/NOTE: This patches basic ComfyUI behaviour - don't use together with other samplers. Or perhaps do? Other samplers might profit from those changes ... ymmv.]"
+        },
+        {
+            "author": "badjeff",
+            "title": "LoRA Tag Loader for ComfyUI",
+            "id": "lora-tag-loader",
+            "reference": "https://github.com/badjeff/comfyui_lora_tag_loader",
+            "files": [
+                "https://github.com/badjeff/comfyui_lora_tag_loader"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI custom node to read LoRA tag(s) from text and load it into checkpoint model."
+        },
+        {
+            "author": "rgthree",
+            "title": "rgthree's ComfyUI Nodes",
+            "id": "rgthree",
+            "reference": "https://github.com/rgthree/rgthree-comfy",
+            "files": [
+                "https://github.com/rgthree/rgthree-comfy"
+            ],
+            "nodename_pattern": " \\(rgthree\\)$",
+            "install_type": "git-clone",
+            "description": "Nodes: Seed, Reroute, Context, Lora Loader Stack, Context Switch, Fast Muter. These custom nodes helps organize the building of complex workflows."
+        },
+        {
+            "author": "AIGODLIKE",
+            "title": "AIGODLIKE-COMFYUI-TRANSLATION",
+            "id": "translation",
+            "reference": "https://github.com/AIGODLIKE/AIGODLIKE-COMFYUI-TRANSLATION",
+            "files": [
+                "https://github.com/AIGODLIKE/AIGODLIKE-COMFYUI-TRANSLATION"
+            ],
+            "install_type": "git-clone",
+            "description": "It provides language settings. (Contribution from users of various languages is needed due to the support for each language.)"
+        },
+        {
+            "author": "AIGODLIKE",
+            "title": "AIGODLIKE-ComfyUI-Studio",
+            "id": "comfy-studio",
+            "reference": "https://github.com/AIGODLIKE/AIGODLIKE-ComfyUI-Studio",
+            "files": [
+                "https://github.com/AIGODLIKE/AIGODLIKE-ComfyUI-Studio"
+            ],
+            "install_type": "git-clone",
+            "description": "Improve the interactive experience of using ComfyUI, such as making the loading of ComfyUI models more intuitive and making it easier to create model thumbnails"
+        },
+        {
+            "author": "AIGODLIKE",
+            "title": "ComfyUI-CUP",
+            "id": "comfycup",
+            "reference": "https://github.com/AIGODLIKE/ComfyUI-CUP",
+            "files": [
+                "https://github.com/AIGODLIKE/ComfyUI-CUP"
+            ],
+            "install_type": "git-clone",
+            "description": "Bridge between ComfyUI and blender's ComfyUI-BlenderAI-node addon."
+        },
+        {
+            "author": "AIGODLIKE",
+            "title": "ComfyUI-ToonCrafter",
+            "id": "tooncrafter",
+            "reference": "https://github.com/AIGODLIKE/ComfyUI-ToonCrafter",
+            "files": [
+                "https://github.com/AIGODLIKE/ComfyUI-ToonCrafter"
+            ],
+            "install_type": "git-clone",
+            "description": "This project is used to enable [a/ToonCrafter](https://github.com/ToonCrafter/ToonCrafter) to be used in ComfyUI.\nYou can use it to achieve generative keyframe animation\nAnd use it in Blender for animation rendering and prediction"
+        },
+        {
+            "author": "syllebra",
+            "title": "BilboX's ComfyUI Custom Nodes",
+            "id": "bilbox",
+            "reference": "https://github.com/syllebra/bilbox-comfyui",
+            "files": [
+                "https://github.com/syllebra/bilbox-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: BilboX's PromptGeek Photo Prompt. This provides a convenient way to compose photorealistic prompts into ComfyUI."
+        },
+        {
+            "author": "Girish Gopaul",
+            "title": "Save Image with Generation Metadata",
+            "id": "image-saver",
+            "reference": "https://github.com/giriss/comfy-image-saver",
+            "files": [
+                "https://github.com/giriss/comfy-image-saver"
+            ],
+            "install_type": "git-clone",
+            "description": "All the tools you need to save images with their generation metadata on ComfyUI. Compatible with Civitai & Prompthero geninfo auto-detection. Works with png, jpeg and webp."
+        },
+        {
+            "author": "shingo1228",
+            "title": "ComfyUI-send-Eagle(slim)",
+            "id": "send-eagle",
+            "reference": "https://github.com/shingo1228/ComfyUI-send-eagle-slim",
+            "files": [
+                "https://github.com/shingo1228/ComfyUI-send-eagle-slim"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Send Webp Image to Eagle. This is an extension node for ComfyUI that allows you to send generated images in webp format to Eagle. This extension node is a re-implementation of the Eagle linkage functions of the previous ComfyUI-send-Eagle node, focusing on the functions required for this node."
+        },
+        {
+            "author": "shingo1228",
+            "title": "ComfyUI-SDXL-EmptyLatentImage",
+            "id": "sdxl-emptylatent",
+            "reference": "https://github.com/shingo1228/ComfyUI-SDXL-EmptyLatentImage",
+            "files": [
+                "https://github.com/shingo1228/ComfyUI-SDXL-EmptyLatentImage"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SDXL Empty Latent Image. An extension node for ComfyUI that allows you to select a resolution from the pre-defined json files and output a Latent Image."
+        },
+        {
+            "author": "laksjdjf",
+            "title": "pfg-ComfyUI",
+            "id": "pfg",
+            "reference": "https://github.com/laksjdjf/pfg-ComfyUI",
+            "files": [
+                "https://github.com/laksjdjf/pfg-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI version of https://github.com/laksjdjf/pfg-webui. (To use this extension, you need to download the required model file from **Install Models**)"
+        },
+        {
+            "author": "laksjdjf",
+            "title": "cgem156-ComfyUI🍌",
+            "id": "cgem156",
+            "reference": "https://github.com/laksjdjf/cgem156-ComfyUI",
+            "files": [
+                "https://github.com/laksjdjf/cgem156-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "The custom nodes of laksjdjf have been integrated into the node pack of cgem156🍌.\nNOTE:This includes the attention couple feature."
+        },
+        {
+            "author": "laksjdjf",
+            "title": "cd-tuner_negpip-ComfyUI",
+            "id": "cdtuner",
+            "reference": "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI",
+            "files": [
+                "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Apply CDTuner, Apply Negapip. This extension provides the [a/CD(Color/Detail) Tuner](https://github.com/hako-mikan/sd-webui-cd-tuner) and the [a/Negative Prompt in the Prompt](https://github.com/hako-mikan/sd-webui-negpip) features."
+        },
+        {
+            "author": "laksjdjf",
+            "title": "LCMSampler-ComfyUI",
+            "id": "lcm-sampler",
+            "reference": "https://github.com/laksjdjf/LCMSampler-ComfyUI",
+            "files": [
+                "https://github.com/laksjdjf/LCMSampler-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension node is intended for the use of LCM conversion for SSD-1B-anime. It does not guarantee operation with the original LCM (as it cannot load weights in the current version). To take advantage of fast generation with LCM, a node for using TAESD as a decoder is also provided. This is inspired by ComfyUI-OtherVAEs."
+        },
+        {
+            "author": "laksjdjf",
+            "title": "LoRTnoC-ComfyUI",
+            "id": "lortnoc",
+            "reference": "https://github.com/laksjdjf/LoRTnoC-ComfyUI",
+            "files": [
+                "https://github.com/laksjdjf/LoRTnoC-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a repository for using LoRTnoC (LoRA with hint block of ControlNet) on ComfyUI.\nNOTE:Please place the model file in the same location as controlnet. (Is this too arbitrary?)"
+        },
+        {
+            "author": "laksjdjf",
+            "title": "Batch-Condition-ComfyUI",
+            "id": "batch-condition",
+            "reference": "https://github.com/laksjdjf/Batch-Condition-ComfyUI",
+            "files": [
+                "https://github.com/laksjdjf/Batch-Condition-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:CLIP Text Encode (Batch), String Input, Batch String"
+        },
+        {
+            "author": "alsritter",
+            "title": "asymmetric-tiling-comfyui",
+            "id": "asymmetric",
+            "reference": "https://github.com/alsritter/asymmetric-tiling-comfyui",
+            "files": [
+                "https://github.com/alsritter/asymmetric-tiling-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Asymmetric_Tiling_KSampler. "
+        },
+        {
+            "author": "meap158",
+            "title": "GPU temperature protection",
+            "id": "gputemp",
+            "reference": "https://github.com/meap158/ComfyUI-GPU-temperature-protection",
+            "files": [
+                "https://github.com/meap158/ComfyUI-GPU-temperature-protection"
+            ],
+            "install_type": "git-clone",
+            "description": "Pause image generation when GPU temperature exceeds threshold."
+        },
+        {
+            "author": "meap158",
+            "title": "ComfyUI-Prompt-Expansion",
+            "id": "promtp-expansion",
+            "reference": "https://github.com/meap158/ComfyUI-Prompt-Expansion",
+            "files": [
+                "https://github.com/meap158/ComfyUI-Prompt-Expansion"
+            ],
+            "install_type": "git-clone",
+            "description": "Dynamic prompt expansion, powered by GPT-2 locally on your device."
+        },
+        {
+            "author": "meap158",
+            "title": "ComfyUI-Background-Replacement",
+            "id": "bg-replacement",
+            "reference": "https://github.com/meap158/ComfyUI-Background-Replacement",
+            "files": [
+                "https://github.com/meap158/ComfyUI-Background-Replacement"
+            ],
+            "install_type": "git-clone",
+            "description": "Instantly replace your image's background."
+        },
+        {
+            "author": "TeaCrab",
+            "title": "ComfyUI-TeaNodes",
+            "id": "teanodes",
+            "reference": "https://github.com/TeaCrab/ComfyUI-TeaNodes",
+            "files": [
+                "https://github.com/TeaCrab/ComfyUI-TeaNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:TC_EqualizeCLAHE, TC_SizeApproximation, TC_ImageResize, TC_ImageScale, TC_ColorFill."
+        },
+        {
+            "author": "nagolinc",
+            "title": "ComfyUI_FastVAEDecorder_SDXL",
+            "reference": "https://github.com/nagolinc/ComfyUI_FastVAEDecorder_SDXL",
+            "files": [
+                "https://github.com/nagolinc/ComfyUI_FastVAEDecorder_SDXL"
+            ],
+            "install_type": "git-clone",
+            "description": "Based off of: [a/Birch-san/diffusers-play/approx_vae](https://github.com/Birch-san/diffusers-play/tree/main/approx_vae). This ComfyUI node allows you to quickly preview SDXL 1.0 latents."
+        },
+        {
+            "author": "nagolinc",
+            "title": "comfyui_openai_node",
+            "reference": "https://github.com/nagolinc/comfyui_openai_node",
+            "files": [
+                "https://github.com/nagolinc/comfyui_openai_node"
+            ],
+            "install_type": "git-clone",
+            "description": "This provides a single node openai > Open AI query node\nthat takes a system prompt and user message and sends them to chatGPT 3.5\nNote, you MUST have an OPEN AI API key stored in the environment variable OPENAI_API_KEY in order for this to work."
+        },
+        {
+            "author": "bradsec",
+            "title": "ResolutionSelector for ComfyUI",
+            "id": "resolution-selector",
+            "reference": "https://github.com/bradsec/ComfyUI_ResolutionSelector",
+            "files": [
+                "https://github.com/bradsec/ComfyUI_ResolutionSelector"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for Stable Diffusion ComfyUI to enable easy selection of image resolutions for SDXL SD15 SD21"
+        },
+        {
+            "author": "kohya-ss",
+            "title": "ControlNet-LLLite-ComfyUI",
+            "id": "lllite",
+            "reference": "https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI",
+            "files": [
+                "https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: LLLiteLoader"
+        },
+        {
+            "author": "jjkramhoeft",
+            "title": "ComfyUI-Jjk-Nodes",
+            "id": "jjk",
+            "reference": "https://github.com/jjkramhoeft/ComfyUI-Jjk-Nodes",
+            "files": [
+                "https://github.com/jjkramhoeft/ComfyUI-Jjk-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: SDXLRecommendedImageSize, JjkText, JjkShowText, JjkConcat. A set of custom nodes for ComfyUI - focused on text and parameter utility"
+        },
+        {
+            "author": "dagthomas",
+            "title": "SDXL Auto Prompter",
+            "id": "autoprompt",
+            "reference": "https://github.com/dagthomas/comfyui_dagthomas",
+            "files": [
+                "https://github.com/dagthomas/comfyui_dagthomas"
+            ],
+            "install_type": "git-clone",
+            "description": "Easy prompting for generation of endless random art pieces and photographs!"
+        },
+        {
+            "author": "marhensa",
+            "title": "Recommended Resolution Calculator",
+            "id": "resoultion-calc",
+            "reference": "https://github.com/marhensa/sdxl-recommended-res-calc",
+            "files": [
+                "https://github.com/marhensa/sdxl-recommended-res-calc"
+            ],
+            "install_type": "git-clone",
+            "description": "Input your desired output final resolution, it will automaticaly set the initial recommended SDXL ratio/size and its Upscale Factor to reach that output final resolution, also there's an option for 2x/4x reverse Upscale Factor. These all to avoid using bad/arbitary initial ratio/resolution."
+        },
+        {
+            "author": "Nuked",
+            "title": "ComfyUI-N-Nodes",
+            "id": "nnodes",
+            "reference": "https://github.com/Nuked88/ComfyUI-N-Nodes",
+            "files": [
+                "https://github.com/Nuked88/ComfyUI-N-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A suite of custom nodes for ConfyUI that includes GPT text-prompt generation, LoadVideo,SaveVideo,LoadFramesFromFolder and FrameInterpolator"
+        },
+        {
+            "author": "Nuked",
+            "title": "ComfyUI-N-Sidebar",
+            "id": "nsidebar",
+            "reference": "https://github.com/Nuked88/ComfyUI-N-Sidebar",
+            "files": [
+                "https://github.com/Nuked88/ComfyUI-N-Sidebar"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple sidebar for ComfyUI."
+        },
+        {
+            "author": "richinsley",
+            "title": "Comfy-LFO",
+            "id": "lfo",
+            "reference": "https://github.com/richinsley/Comfy-LFO",
+            "files": [
+                "https://github.com/richinsley/Comfy-LFO"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:LFO_Triangle, LFO_Sine, SawtoothNode, SquareNode, PulseNode. ComfyUI custom nodes to create Low Frequency Oscillators."
+        },
+        {
+            "author": "Beinsezii",
+            "title": "bsz-cui-extras",
+            "id": "bsz",
+            "reference": "https://github.com/Beinsezii/bsz-cui-extras",
+            "files": [
+                "https://github.com/Beinsezii/bsz-cui-extras"
+            ],
+            "install_type": "git-clone",
+            "description": "This contains all-in-one 'principled' nodes for T2I, I2I, refining, and scaling. Additionally it has many tools for directly manipulating the color of latents, high res fix math, and scripted image post-processing."
+        },
+        {
+            "author": "youyegit",
+            "title": "tdxh_node_comfyui",
+            "id": "tdxh",
+            "reference": "https://github.com/youyegit/tdxh_node_comfyui",
+            "files": [
+                "https://github.com/youyegit/tdxh_node_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Add Switch on nodes, Make nodes amount small! It helps conveniently to use less nodes for doing the same things."
+        },
+        {
+            "author": "Sxela",
+            "title": "ComfyWarp",
+            "id": "warp",
+            "reference": "https://github.com/Sxela/ComfyWarp",
+            "files": [
+                "https://github.com/Sxela/ComfyWarp"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:LoadFrameSequence, LoadFrame"
+        },
+        {
+            "author": "skfoo",
+            "title": "ComfyUI-Coziness",
+            "id": "coziness",
+            "reference": "https://github.com/skfoo/ComfyUI-Coziness",
+            "files": [
+                "https://github.com/skfoo/ComfyUI-Coziness"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:MultiLora Loader, Lora Text Extractor. Provides a node for assisting in loading loras through text."
+        },
+        {
+            "author": "YOUR-WORST-TACO",
+            "title": "ComfyUI-TacoNodes",
+            "id": "taco",
+            "reference": "https://github.com/YOUR-WORST-TACO/ComfyUI-TacoNodes",
+            "files": [
+                "https://github.com/YOUR-WORST-TACO/ComfyUI-TacoNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:TacoLatent, TacoAnimatedLoader, TacoImg2ImgAnimatedLoader, TacoGifMaker."
+        },
+        {
+            "author": "Lerc",
+            "title": "Canvas Tab",
+            "id": "canvastab",
+            "reference": "https://github.com/Lerc/canvas_tab",
+            "files": [
+                "https://github.com/Lerc/canvas_tab"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides a full page image editor with mask support. There are two nodes, one to receive images from the editor and one to send images to the editor."
+        },
+        {
+            "author": "Ttl",
+            "title": "ComfyUI Neural Network Latent Upscale",
+            "id": "nnlatent",
+            "reference": "https://github.com/Ttl/ComfyUi_NNLatentUpscale",
+            "files": [
+                "https://github.com/Ttl/ComfyUi_NNLatentUpscale"
+            ],
+            "install_type": "git-clone",
+            "preemptions": ["NNLatentUpscale"],
+            "description": "Nodes:NNLatentUpscale, A custom ComfyUI node designed for rapid latent upscaling using a compact neural network, eliminating the need for VAE-based decoding and encoding."
+        },
+        {
+            "author": "spro",
+            "title": "Latent Mirror node for ComfyUI",
+            "id": "latentmirror",
+            "reference": "https://github.com/spro/comfyui-mirror",
+            "files": [
+                "https://github.com/spro/comfyui-mirror"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Latent Mirror. Node to mirror a latent along the Y (vertical / left to right) or X (horizontal / top to bottom) axis."
+        },
+        {
+            "author": "Tropfchen",
+            "title": "Embedding Picker",
+            "id": "embedding-picker",
+            "reference": "https://github.com/Tropfchen/ComfyUI-Embedding_Picker",
+            "files": [
+                "https://github.com/Tropfchen/ComfyUI-Embedding_Picker"
+            ],
+            "install_type": "git-clone",
+            "description": "Tired of forgetting and misspelling often weird names of embeddings you use? Or perhaps you use only one, cause you forgot you have tens of them installed?"
+        },
+        {
+            "author": "Acly",
+            "title": "ComfyUI Nodes for External Tooling",
+            "id": "external-tooling",
+            "reference": "https://github.com/Acly/comfyui-tooling-nodes",
+            "files": [
+                "https://github.com/Acly/comfyui-tooling-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Provides nodes and server API extensions geared towards using ComfyUI as a backend for external tools."
+        },
+        {
+            "author": "Acly",
+            "title": "ComfyUI Inpaint Nodes",
+            "id": "inpaint-nodes",
+            "reference": "https://github.com/Acly/comfyui-inpaint-nodes",
+            "files": [
+                "https://github.com/Acly/comfyui-inpaint-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes for better inpainting with ComfyUI. Adds various ways to pre-process inpaint areas. Supports the Fooocus inpaint model, a small and flexible patch which can be applied to any SDXL checkpoint and will improve consistency when generating masked areas."
+        },
+        {
+            "author": "picturesonpictures",
+            "title": "comfy_PoP",
+            "id": "pop",
+            "reference": "https://github.com/picturesonpictures/comfy_PoP",
+            "files": ["https://github.com/picturesonpictures/comfy_PoP"],
+            "install_type": "git-clone",
+            "description": "A collection of custom nodes for ComfyUI. Includes a quick canny edge detection node with unconventional settings, simple LoRA stack nodes for workflow efficiency, and a customizable aspect ratio node."
+        },
+        {
+            "author": "Dream Project",
+            "title": "Dream Project Animation Nodes",
+            "id": "dream-anime",
+            "reference": "https://github.com/alt-key-project/comfyui-dream-project",
+            "files": [
+                "https://github.com/alt-key-project/comfyui-dream-project"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension offers various nodes that are useful for Deforum-like animations in ComfyUI."
+        },
+        {
+            "author": "Dream Project",
+            "title": "Dream Video Batches",
+            "id": "dream-video",
+            "reference": "https://github.com/alt-key-project/comfyui-dream-video-batches",
+            "files": [
+                "https://github.com/alt-key-project/comfyui-dream-video-batches"
+            ],
+            "install_type": "git-clone",
+            "description": "Provide utilities for batch based video generation workflows (s.a. AnimateDiff and Stable Video Diffusion)."
+        },
+        {
+            "author": "seanlynch",
+            "title": "ComfyUI Optical Flow",
+            "id": "optical-flow",
+            "reference": "https://github.com/seanlynch/comfyui-optical-flow",
+            "files": [
+                "https://github.com/seanlynch/comfyui-optical-flow"
+            ],
+            "install_type": "git-clone",
+            "description": "This package contains three nodes to help you compute optical flow between pairs of images, usually adjacent frames in a video, visualize the flow, and apply the flow to another image of the same dimensions. Most of the code is from Deforum, so this is released under the same license (MIT)."
+        },
+        {
+            "author": "ealkanat",
+            "title": "ComfyUI Easy Padding",
+            "id": "easy-padding",
+            "reference": "https://github.com/ealkanat/comfyui_easy_padding",
+            "files": [
+                "https://github.com/ealkanat/comfyui_easy_padding"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Easy Padding is a simple custom ComfyUI node that helps you to add padding to images on ComfyUI."
+        },
+        {
+            "author": "ArtBot2023",
+            "title": "Character Face Swap",
+            "id": "char-faceswap",
+            "reference": "https://github.com/ArtBot2023/CharacterFaceSwap",
+            "files": [
+                "https://github.com/ArtBot2023/CharacterFaceSwap"
+            ],
+            "install_type": "git-clone",
+            "description": "Character face swap with LoRA and embeddings."
+        },
+        {
+            "author": "mav-rik",
+            "title": "Facerestore CF (Code Former)",
+            "id": "face-cf",
+            "reference": "https://github.com/mav-rik/facerestore_cf",
+            "files": [
+                "https://github.com/mav-rik/facerestore_cf"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a copy of [a/facerestore custom node](https://civitai.com/models/24690/comfyui-facerestore-node) with a bit of a change to support CodeFormer Fidelity parameter. These ComfyUI nodes can be used to restore faces in images similar to the face restore option in AUTOMATIC1111 webui.\nNOTE: To use this node, you need to download the face restoration model and face detection model from the 'Install models' menu."
+        },
+        {
+            "author": "braintacles",
+            "title": "braintacles-nodes",
+            "id": "braintacles",
+            "reference": "https://github.com/braintacles/braintacles-comfyui-nodes",
+            "files": [
+                "https://github.com/braintacles/braintacles-comfyui-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: CLIPTextEncodeSDXL-Multi-IO, CLIPTextEncodeSDXL-Pipe, Empty Latent Image from Aspect-Ratio, Random Find and Replace."
+        },
+        {
+            "author": "hayden-fr",
+            "title": "ComfyUI-Model-Manager",
+            "id": "modelmanager",
+            "reference": "https://github.com/hayden-fr/ComfyUI-Model-Manager",
+            "files": [
+                "https://github.com/hayden-fr/ComfyUI-Model-Manager"
+            ],
+            "install_type": "git-clone",
+            "description": "Manage models: browsing, download and delete."
+        },
+        {
+            "author": "hayden-fr",
+            "title": "ComfyUI-Image-Browsing",
+            "id": "image-browsing",
+            "reference": "https://github.com/hayden-fr/ComfyUI-Image-Browsing",
+            "files": [
+                "https://github.com/hayden-fr/ComfyUI-Image-Browsing"
+            ],
+            "install_type": "git-clone",
+            "description": "Image Browsing: browsing, download and delete."
+        },
+        {
+            "author": "ali1234",
+            "title": "comfyui-job-iterator",
+            "id": "job-iterator",
+            "reference": "https://github.com/ali1234/comfyui-job-iterator",
+            "files": [
+                "https://github.com/ali1234/comfyui-job-iterator"
+            ],
+            "install_type": "git-clone",
+            "description": "Implements iteration over sequences within a single workflow run. [w/NOTE: This node replaces the execution of ComfyUI for iterative processing functionality.]"
+        },
+        {
+            "author": "jmkl",
+            "title": "ComfyUI Ricing",
+            "id": "ricing",
+            "reference": "https://github.com/jmkl/ComfyUI-ricing",
+            "files": [
+                "https://github.com/jmkl/ComfyUI-ricing"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI custom user.css and some script stuff. mainly for web interface."
+        },
+        {
+            "author": "budihartono",
+            "title": "Otonx's Custom Nodes",
+            "id": "otonx",
+            "reference": "https://github.com/budihartono/comfyui_otonx_nodes",
+            "files": [
+                "https://github.com/budihartono/comfyui_otonx_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: OTX Multiple Values, OTX KSampler Feeder. This extension provides custom nodes for ComfyUI created for personal projects. Made available for reference. Nodes may be updated or changed intermittently or not at all. Review & test before use."
+        },
+        {
+            "author": "ramyma",
+            "title": "A8R8 ComfyUI Nodes",
+            "id": "a8r8",
+            "reference": "https://github.com/ramyma/A8R8_ComfyUI_nodes",
+            "files": [
+                "https://github.com/ramyma/A8R8_ComfyUI_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Base64Image Input Node, Base64Image Output Node. [a/A8R8](https://github.com/ramyma/a8r8) supporting nodes to integrate with ComfyUI"
+        },
+        {
+            "author": "spinagon",
+            "title": "Seamless tiling Node for ComfyUI",
+            "id": "seamless",
+            "reference": "https://github.com/spinagon/ComfyUI-seamless-tiling",
+            "files": [
+                "https://github.com/spinagon/ComfyUI-seamless-tiling"
+            ],
+            "install_type": "git-clone",
+            "description": "Node for generating almost seamless textures, based on similar setting from A1111."
+        },
+        {
+            "author": "BiffMunky",
+            "title": "Endless ️🌊✨ Nodes",
+            "id": "endless",
+            "reference": "https://github.com/tusharbhutt/Endless-Nodes",
+            "files": [
+                "https://github.com/tusharbhutt/Endless-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A small set of nodes I created for various numerical and text inputs.  Features image saver with ability to have JSON saved to separate folder, parameter collection nodes, two aesthetic scoring models, switches for text and numbers, and conversion of string to numeric and vice versa."
+        },
+        {
+            "author": "spacepxl",
+            "title": "ComfyUI-HQ-Image-Save",
+            "id": "hq-image-save",
+            "reference": "https://github.com/spacepxl/ComfyUI-HQ-Image-Save",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-HQ-Image-Save"
+            ],
+            "install_type": "git-clone",
+            "description": "Add Image Save nodes for TIFF 16 bit and EXR 32 bit formats. Probably only useful if you're applying a LUT or other color corrections, and care about preserving as much color accuracy as possible."
+        },
+        {
+            "author": "spacepxl",
+            "title": "ComfyUI-Image-Filters",
+            "id": "image-fitlers",
+            "reference": "https://github.com/spacepxl/ComfyUI-Image-Filters",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-Image-Filters"
+            ],
+            "install_type": "git-clone",
+            "description": "Image and matte filtering nodes for ComfyUI `image/filters/*`"
+        },
+        {
+            "author": "spacepxl",
+            "title": "ComfyUI-RAVE",
+            "id": "rave",
+            "reference": "https://github.com/spacepxl/ComfyUI-RAVE",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-RAVE"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial ComfyUI implementation of [a/RAVE](https://rave-video.github.io/)"
+        },
+        {
+            "author": "spacepxl",
+            "title": "ComfyUI-StyleGan",
+            "id": "stylegan",
+            "reference": "https://github.com/spacepxl/ComfyUI-StyleGan",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-StyleGan"
+            ],
+            "install_type": "git-clone",
+            "description": "Basic support for StyleGAN2 and StyleGAN3 models."
+        },
+        {
+            "author": "spacepxl",
+            "title": "ComfyUI-Florence-2",
+            "id": "florence2-spacepxl",
+            "reference": "https://github.com/spacepxl/ComfyUI-Florence-2",
+            "files": [
+                "https://github.com/spacepxl/ComfyUI-Florence-2"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/https://huggingface.co/microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft)\nLarge or base model, support for captioning and bbox task modes, more coming soon."
+        },
+        {
+            "author": "PTA",
+            "title": "auto nodes layout",
+            "id": "autolayout",
+            "reference": "https://github.com/phineas-pta/comfyui-auto-nodes-layout",
+            "files": [
+                "https://github.com/phineas-pta/comfyui-auto-nodes-layout"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI extension to apply better nodes layout algorithm to ComfyUI workflow (mostly for visualization purpose)"
+        },
+        {
+            "author": "receyuki",
+            "title": "SD Prompt Reader",
+            "id": "sdpromptreader",
+            "reference": "https://github.com/receyuki/comfyui-prompt-reader-node",
+            "files": [
+                "https://github.com/receyuki/comfyui-prompt-reader-node"
+            ],
+            "install_type": "git-clone",
+            "description": "The ultimate solution for managing image metadata and multi-tool compatibility. ComfyUI node version of the SD Prompt Reader."
+        },
+        {
+            "author": "rklaffehn",
+            "title": "rk-comfy-nodes",
+            "id": "rknodes",
+            "reference": "https://github.com/rklaffehn/rk-comfy-nodes",
+            "files": [
+                "https://github.com/rklaffehn/rk-comfy-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: RK_CivitAIMetaChecker, RK_CivitAIAddHashes."
+        },
+        {
+            "author": "cubiq",
+            "title": "ComfyUI Essentials",
+            "id": "essentials",
+            "reference": "https://github.com/cubiq/ComfyUI_essentials",
+            "files": [
+                "https://github.com/cubiq/ComfyUI_essentials"
+            ],
+            "install_type": "git-clone",
+            "description": "Essential nodes that are weirdly missing from ComfyUI core. With few exceptions they are new features and not commodities. I hope this will be just a temporary repository until the nodes get included into ComfyUI."
+        },
+        {
+            "author": "Clybius",
+            "title": "ComfyUI-Latent-Modifiers",
+            "id": "latent-modifier",
+            "reference": "https://github.com/Clybius/ComfyUI-Latent-Modifiers",
+            "files": [
+                "https://github.com/Clybius/ComfyUI-Latent-Modifiers"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Latent Diffusion Mega Modifier. ComfyUI nodes which modify the latent during the diffusion process. (Sharpness, Tonemap, Rescale, Extra Noise)"
+        },
+        {
+            "author": "Clybius",
+            "title": "ComfyUI Extra Samplers",
+            "id": "extra-samplers",
+            "reference": "https://github.com/Clybius/ComfyUI-Extra-Samplers",
+            "files": [
+                "https://github.com/Clybius/ComfyUI-Extra-Samplers"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: SamplerCustomNoise, SamplerCustomNoiseDuo, SamplerCustomModelMixtureDuo, SamplerRES_Momentumized, SamplerDPMPP_DualSDE_Momentumized, SamplerCLYB_4M_SDE_Momentumized, SamplerTTM, SamplerLCMCustom\nThis extension provides various custom samplers not offered by the default nodes in ComfyUI."
+        },
+        {
+            "author": "mcmonkeyprojects",
+            "title": "Dynamic Thresholding",
+            "id": "dynamic-thresholding",
+            "reference": "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding",
+            "files": [
+                "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding"
+            ],
+            "install_type": "git-clone",
+            "description": "Adds nodes for Dynamic Thresholding, CFG scheduling, and related techniques."
+        },
+        {
+            "author": "Tropfchen",
+            "title": "YARS: Yet Another Resolution Selector",
+            "id": "yars",
+            "reference": "https://github.com/Tropfchen/ComfyUI-yaResolutionSelector",
+            "files": [
+                "https://github.com/Tropfchen/ComfyUI-yaResolutionSelector"
+            ],
+            "install_type": "git-clone",
+            "description": "A slightly different Resolution Selector node, allowing to freely change base resolution and aspect ratio, with options to maintain the pixel count or use the base resolution as the highest or lowest dimension."
+        },
+        {
+            "author": "chrisgoringe",
+            "title": "Noise variation and batch noise tools",
+            "id": "cg-noisetools",
+            "reference": "https://github.com/chrisgoringe/cg-noisetools",
+            "files": [
+                "https://github.com/chrisgoringe/cg-noisetools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to create small variations on noise, to shape noise, and to control noise in batches. Replaces the old 'variation-seed' nodes."
+        },
+        {
+            "author": "chrisgoringe",
+            "title": "Image chooser",
+            "id": "image-chooser",
+            "reference": "https://github.com/chrisgoringe/cg-image-picker",
+            "files": [
+                "https://github.com/chrisgoringe/cg-image-picker"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node that pauses the flow while you choose which image (or latent) to pass on to the rest of the workflow."
+        },
+        {
+            "author": "chrisgoringe",
+            "title": "Use Everywhere (UE Nodes)",
+            "id": "ue",
+            "reference": "https://github.com/chrisgoringe/cg-use-everywhere",
+            "files": [
+                "https://github.com/chrisgoringe/cg-use-everywhere"
+            ],
+            "install_type": "git-clone",
+            "nodename_pattern": "(^(Prompts|Anything) Everywhere|Simple String)",
+            "description": "A set of nodes that allow data to be 'broadcast' to some or all unconnected inputs. Greatly reduces link spaghetti."
+        },
+        {
+            "author": "chrisgoringe",
+            "title": "Prompt Info",
+            "id": "promptinfo",
+            "reference": "https://github.com/chrisgoringe/cg-prompt-info",
+            "files": [
+                "https://github.com/chrisgoringe/cg-prompt-info"
+            ],
+            "install_type": "git-clone",
+            "description": "Prompt Info"
+        },
+        {
+            "author": "TGu-97",
+            "title": "TGu Utilities",
+            "id": "tgu",
+            "reference": "https://github.com/TGu-97/ComfyUI-TGu-utils",
+            "files": [
+                "https://github.com/TGu-97/ComfyUI-TGu-utils"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: MPN Switch, MPN Reroute, PN Switch. This is a set of custom nodes for ComfyUI. Mainly focus on control switches."
+        },
+        {
+            "author": "seanlynch",
+            "title": "SRL's nodes",
+            "id": "srl",
+            "reference": "https://github.com/seanlynch/srl-nodes",
+            "files": [
+                "https://github.com/seanlynch/srl-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: SRL Conditional Interrupt, SRL Format String, SRL Eval, SRL Filter Image List. This is a collection of nodes I find useful. Note that at least one module allows execution of arbitrary code. Do not use any of these nodes on a system that allow untrusted users to control workflows or inputs.[w/WARNING: The custom nodes in this extension are vulnerable to **security risks** because they allow the execution of arbitrary code through the workflow]"
+        },
+        {
+            "author": "alpertunga-bile",
+            "title": "prompt-generator",
+            "reference": "https://github.com/alpertunga-bile/prompt-generator-comfyui",
+            "files": [
+                "https://github.com/alpertunga-bile/prompt-generator-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom AI prompt generator node for ComfyUI."
+        },
+        {
+            "author": "kijai",
+            "title": "KJNodes for ComfyUI",
+            "id": "kjnodes",
+            "reference": "https://github.com/kijai/ComfyUI-KJNodes",
+            "files": [
+                "https://github.com/kijai/ComfyUI-KJNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Various quality of life -nodes for ComfyUI, mostly just visual stuff to improve usability."
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-CCSR",
+            "id": "ccsr",
+            "reference": "https://github.com/kijai/ComfyUI-CCSR",
+            "files": [
+                "https://github.com/kijai/ComfyUI-CCSR"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI- CCSR upscaler node"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-SVD",
+            "id": "kijai-svd",
+            "reference": "https://github.com/kijai/ComfyUI-SVD",
+            "files": [
+                "https://github.com/kijai/ComfyUI-SVD"
+            ],
+            "install_type": "git-clone",
+            "description": "Preliminary use of SVD in ComfyUI.\nNOTE: Quick Implementation, Unstable. See details on repositories."
+        },
+        {
+            "author": "kijai",
+            "title": "Marigold depth estimation in ComfyUI",
+            "id": "marigold",
+            "reference": "https://github.com/kijai/ComfyUI-Marigold",
+            "files": [
+                "https://github.com/kijai/ComfyUI-Marigold"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a wrapper node for Marigold depth estimation: [https://github.com/prs-eth/Marigold](https://github.com/kijai/ComfyUI-Marigold). Currently using the same diffusers pipeline as in the original implementation, so in addition to the custom node, you need the model in diffusers format.\nNOTE: See details in repo to install."
+        },
+        {
+            "author": "kijai",
+            "title": "Geowizard depth and normal estimation in ComfyUI",
+            "id": "geowizard",
+            "reference": "https://github.com/kijai/ComfyUI-Geowizard",
+            "files": [
+                "https://github.com/kijai/ComfyUI-Geowizard"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a diffusers (0.27.2) wrapper node for Geowizard: [https://github.com/fuxiao0719/GeoWizard]. The model is autodownloaded from Hugginface to ComfyUI/models/diffusers/geowizard"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-depth-fm",
+            "id": "depth-fm",
+            "reference": "https://github.com/kijai/ComfyUI-depth-fm",
+            "files": [
+                "https://github.com/kijai/ComfyUI-depth-fm"
+            ],
+            "install_type": "git-clone",
+            "description": "Fast and accurate monocular depth estimation."
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-DDColor",
+            "id": "ddcolor-kijai",
+            "reference": "https://github.com/kijai/ComfyUI-DDColor",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DDColor"
+            ],
+            "install_type": "git-clone",
+            "description": "Node to use [a/DDColor](https://github.com/piddnad/DDColor) in ComfyUI."
+        },
+        {
+            "author": "kijai",
+            "title": "Animatediff MotionLoRA Trainer",
+            "id": "motionlora-trainer",
+            "reference": "https://github.com/kijai/ComfyUI-ADMotionDirector",
+            "files": [
+                "https://github.com/kijai/ComfyUI-ADMotionDirector"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a trainer for AnimateDiff MotionLoRAs, based on the implementation of MotionDirector by ExponentialML.\nNOTE:[a/ADMotionDirector](https://github.com/ExponentialML/AnimateDiff-MotionDirector)"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-moondream",
+            "id": "moondream",
+            "reference": "https://github.com/kijai/ComfyUI-moondream",
+            "files": [
+                "https://github.com/kijai/ComfyUI-moondream"
+            ],
+            "install_type": "git-clone",
+            "description": "Moondream image to text query node with batch support"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-SUPIR",
+            "id": "supir",
+            "reference": "https://github.com/kijai/ComfyUI-SUPIR",
+            "files": [
+                "https://github.com/kijai/ComfyUI-SUPIR"
+            ],
+            "install_type": "git-clone",
+            "description": "Wrapper nodes to use SUPIR upscaling process in ComfyUI"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-DynamiCrafterWrapper",
+            "id": "dynamicrafter-kijai",
+            "reference": "https://github.com/kijai/ComfyUI-DynamiCrafterWrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DynamiCrafterWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "Wrapper nodes to use DynamiCrafter image2video and frame interpolation models in ComfyUI\nAnd this extension supports ToonCrafter as well"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-APISR",
+            "id": "apisr",
+            "reference": "https://github.com/kijai/ComfyUI-APISR-KJ",
+            "files": [
+                "https://github.com/kijai/ComfyUI-APISR-KJ"
+            ],
+            "install_type": "git-clone",
+            "description": "Node to use [a/APISR](https://github.com/Kiteretsu77/APISR) upscale models in ComfyUI.[w/NOTE: repo name is changed from ComfyUI-APISR -> ComfyUI-APISR-KJ]"
+        },
+        {
+            "author": "kijai",
+            "title": "DiffusionLight implementation for ComfyUI",
+            "id": "diffusionlight",
+            "reference": "https://github.com/kijai/ComfyUI-DiffusionLight",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DiffusionLight"
+            ],
+            "install_type": "git-clone",
+            "description": "This is simplified implementation of the [a/DiffusionLight](https://github.com/DiffusionLight/DiffusionLight) method of creating light probes. You will need the included LoRA, place it in ComfyUI/loras folder like usual, it's converted from the original diffusers one."
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-ELLA-wrapper",
+            "reference": "https://github.com/kijai/ComfyUI-ELLA-wrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-ELLA-wrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI wrapper nodes to use the Diffusers implementation of ELLA"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-LaVi-Bridge-Wrapper",
+            "reference": "https://github.com/kijai/ComfyUI-LaVi-Bridge-Wrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LaVi-Bridge-Wrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI wrapper node to test LaVi-Bridge using Diffusers"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-BrushNet-Wrapper",
+            "reference": "https://github.com/kijai/ComfyUI-BrushNet-Wrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-BrushNet-Wrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI wrapper nodes to use the Diffusers implementation of BrushNet"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-IC-Light",
+            "id": "ic-light-kijai",
+            "reference": "https://github.com/kijai/ComfyUI-IC-Light",
+            "files": [
+                "https://github.com/kijai/ComfyUI-IC-Light"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI native nodes for IC-Light"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-DepthAnythingV2",
+            "id": "depth-anything-v2",
+            "reference": "https://github.com/kijai/ComfyUI-DepthAnythingV2",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DepthAnythingV2"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use [a/DepthAnythingV2](https://depth-anything-v2.github.io/)\nNOTE:Models autodownload to ComfyUI/models/depthanything from [a/https://huggingface.co/Kijai/DepthAnythingV2-safetensors/tree/main](https://huggingface.co/Kijai/DepthAnythingV2-safetensors/tree/main)"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-Florence2",
+            "id": "florence2-kijai",
+            "reference": "https://github.com/kijai/ComfyUI-Florence2",
+            "files": [
+                "https://github.com/kijai/ComfyUI-Florence2"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to use Florence2 VLM for image vision tasks: object detection, captioning, segmentation and ocr"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-LuminaWrapper",
+            "id": "lumina",
+            "reference": "https://github.com/kijai/ComfyUI-LuminaWrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LuminaWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI wrapper nodes for Lumina models"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-MimicMotionWrapper",
+            "id": "mimicmotion-kijai",
+            "reference": "https://github.com/kijai/ComfyUI-MimicMotionWrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-MimicMotionWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "Optimized wrapper nodes for MimicMotion: [a/https://github.com/tencent/MimicMotion](https://github.com/tencent/MimicMotion)"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-OpenDiTWrapper",
+            "id": "opendit-kijai",
+            "reference": "https://github.com/kijai/ComfyUI-OpenDiTWrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-OpenDiTWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "Wrapper nodes for OpenDiT: [a/OpenDiT](https://github.com/NUS-HPC-AI-Lab/OpenDiT/), supports Open-Sora t2i and i2i"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-LivePortraitKJ",
+            "id": "liveportrait-kijai",
+            "reference": "https://github.com/kijai/ComfyUI-LivePortraitKJ",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LivePortraitKJ"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes for [a/LivePortrait](https://github.com/KwaiVGI/LivePortrait)"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-KwaiKolorsWrapper",
+            "id": "kwaikolors",
+            "reference": "https://github.com/kijai/ComfyUI-KwaiKolorsWrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-KwaiKolorsWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "Rudimentary wrapper that runs [a/Kwai-Kolors](https://huggingface.co/Kwai-Kolors/Kolors) text2image pipeline using diffusers."
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-segment-anything-2",
+            "id": "segment-anything-2",
+            "reference": "https://github.com/kijai/ComfyUI-segment-anything-2",
+            "files": [
+                "https://github.com/kijai/ComfyUI-segment-anything-2"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to use [a/segment-anything-2](https://github.com/facebookresearch/segment-anything-2) for image or video segmentation."
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI nodes for ControlNext-SVD v2",
+            "reference": "https://github.com/kijai/ComfyUI-ControlNeXt-SVD",
+            "files": [
+                "https://github.com/kijai/ComfyUI-ControlNeXt-SVD"
+            ],
+            "install_type": "git-clone",
+            "description": "These nodes include my wrapper for the original diffusers pipeline, as well as work in progress native ComfyUI implementation.\nFor the diffusers wrapper models should be downloaded automatically, for the native version you can get the unet [a/here](https://huggingface.co/Kijai/ControlNeXt-SVD-V2-Comfy/blob/main/controlnext-svd_v2-unet-fp16_converted.safetensors)."
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI Flux Trainer",
+            "reference": "https://github.com/kijai/ComfyUI-FluxTrainer",
+            "files": [
+                "https://github.com/kijai/ComfyUI-FluxTrainer"
+            ],
+            "install_type": "git-clone",
+            "description": "Currently supports LoRA training, and untested full finetune with code from kohya's scripts: [a/https://github.com/kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts)"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI CogVideoX Wrapper",
+            "reference": "https://github.com/kijai/ComfyUI-CogVideoXWrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-CogVideoXWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "Diffusers wrapper for CogVideoX -models: [a/https://github.com/THUDM/CogVideo](https://github.com/THUDM/CogVideo)"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI Llava-OneVision",
+            "reference": "https://github.com/kijai/ComfyUI-LLaVA-OneVision",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LLaVA-OneVision"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to use the OneVision LLaVA models: [a/https://github.com/LLaVA-VL/LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT)"
+        },
+        {
+            "author": "hhhzzyang",
+            "title": "Comfyui-Lama",
+            "id": "lama",
+            "reference": "https://github.com/hhhzzyang/Comfyui_Lama",
+            "files": [
+                "https://github.com/hhhzzyang/Comfyui_Lama"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: LamaaModelLoad, LamaApply, YamlConfigLoader. a costumer node is realized to remove anything/inpainting anything from a picture by mask inpainting.[w/WARN:This extension includes the entire model, which can result in a very long initial installation time, and there may be some compatibility issues with older dependencies and ComfyUI.]"
+        },
+        {
+            "author": "audioscavenger",
+            "title": "Save Image Extended for ComfyUI",
+            "id": "save-image-extended",
+            "reference": "https://github.com/audioscavenger/save-image-extended-comfyui",
+            "files": [
+                "https://github.com/audioscavenger/save-image-extended-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Upgrade the Save File node: customize subfolders, file names with checkpoint names, or any sampler attribute your want! [w/NOTE: This node is a fork from @thedyze, since the [a/original repository](https://github.com/thedyze/save-image-extended-comfyui) is no longer maintained. Simply *uninstall* the original version and **REINSTALL** this one.]"
+        },
+        {
+            "author": "SOELexicon",
+            "title": "ComfyUI-LexTools",
+            "id": "lextools",
+            "reference": "https://github.com/SOELexicon/ComfyUI-LexTools",
+            "files": [
+                "https://github.com/SOELexicon/ComfyUI-LexTools"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-LexTools is a Python-based image processing and analysis toolkit that uses machine learning models for semantic image segmentation, image scoring, and image captioning."
+        },
+        {
+            "author": "mikkel",
+            "title": "ComfyUI - Text Overlay Plugin",
+            "id": "textoverlay-mikkel",
+            "reference": "https://github.com/mikkel/ComfyUI-text-overlay",
+            "files": [
+                "https://github.com/mikkel/ComfyUI-text-overlay"
+            ],
+            "install_type": "git-clone",
+            "description": "The ComfyUI Text Overlay Plugin provides functionalities for superimposing text on images. Users can select different font types, set text size, choose color, and adjust the text's position on the image."
+        },
+        {
+            "author": "avatechai",
+            "title": "Avatar Graph",
+            "id": "avatar-graph",
+            "reference": "https://github.com/avatechai/avatar-graph-comfyui",
+            "files": [
+                "https://github.com/avatechai/avatar-graph-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Include nodes for sam + bpy operation, that allows workflow creations for generative 2d character rig."
+        },
+        {
+            "author": "TRI3D-LC",
+            "title": "tri3d-comfyui-nodes",
+            "id": "tri3d",
+            "reference": "https://github.com/TRI3D-LC/tri3d-comfyui-nodes",
+            "files": [
+                "https://github.com/TRI3D-LC/tri3d-comfyui-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: tri3d-extract-hand, tri3d-fuzzification, tri3d-position-hands, tri3d-atr-parse."
+        },
+        {
+            "author": "TRI3D-LC",
+            "title": "ComfyUI-MiroBoard",
+            "id": "miroboard",
+            "reference": "https://github.com/TRI3D-LC/ComfyUI-MiroBoard",
+            "files": [
+                "https://github.com/TRI3D-LC/ComfyUI-MiroBoard"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: add-image-miro-board."
+        },
+        {
+            "author": "storyicon",
+            "title": "segment anything",
+            "id": "sam",
+            "reference": "https://github.com/storyicon/comfyui_segment_anything",
+            "files": [
+                "https://github.com/storyicon/comfyui_segment_anything"
+            ],
+            "install_type": "git-clone",
+            "description": "Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything."
+        },
+        {
+            "author": "storyicon",
+            "title": "ComfyUI MuseV Evolved",
+            "id": "musev-evolved",
+            "reference": "https://github.com/storyicon/comfyui_musev_evolved",
+            "files": [
+                "https://github.com/storyicon/comfyui_musev_evolved"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:MuseVImg2Vid (comfyui_musev_evolved)\nNOTE: Download [a/MuseV](https://huggingface.co/TMElyralab/MuseV) to ComfyUI/models/diffusers"
+        },
+        {
+            "author": "a1lazydog",
+            "title": "ComfyUI-AudioScheduler",
+            "id": "audioscheduler",
+            "reference": "https://github.com/a1lazydog/ComfyUI-AudioScheduler",
+            "files": [
+                "https://github.com/a1lazydog/ComfyUI-AudioScheduler"
+            ],
+            "install_type": "git-clone",
+            "description": "Load mp3 files and use the audio nodes to power animations and prompt scheduling. Use with FizzNodes."
+        },
+        {
+            "author": "whatbirdisthat",
+            "title": "cyberdolphin",
+            "reference": "https://github.com/whatbirdisthat/cyberdolphin",
+            "files": [
+                "https://github.com/whatbirdisthat/cyberdolphin"
+            ],
+            "install_type": "git-clone",
+            "description": "Cyberdolphin Suite of ComfyUI nodes for wiring up things."
+        },
+        {
+            "author": "chrish-slingshot",
+            "title": "CrasH Utils",
+            "id": "crash",
+            "reference": "https://github.com/chrish-slingshot/CrasHUtils",
+            "files": [
+                "https://github.com/chrish-slingshot/CrasHUtils"
+            ],
+            "install_type": "git-clone",
+            "description": "A mixture of effects and quality of life nodes. Nodes: ImageGlitcher (gives an image a cool glitchy effect), ColorStylizer (highlights a single color in an image), QueryLocalLLM (queries a local LLM API though oobabooga), SDXLReslution (resolution picker for the standard SDXL resolutions, the complete list), SDXLResolutionSplit (splits the SDXL resolution into width and height). "
+        },
+        {
+            "author": "spinagon",
+            "title": "ComfyUI-seam-carving",
+            "id": "seamcarving",
+            "reference": "https://github.com/spinagon/ComfyUI-seam-carving",
+            "files": [
+                "https://github.com/spinagon/ComfyUI-seam-carving"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Image Resize (seam carving). Seam carving (image resize) for ComfyUI. Based on [a/https://github.com/li-plus/seam-carving](https://github.com/li-plus/seam-carving). With seam carving algorithm, the image could be intelligently resized while keeping the important contents undistorted. The carving process could be further guided, so that an object could be removed from the image without apparent artifacts."
+        },
+        {
+            "author": "YMC",
+            "title": "ymc-node-suite-comfyui",
+            "id": "ymc-suite",
+            "reference": "https://github.com/YMC-GitHub/ymc-node-suite-comfyui",
+            "files": [
+                "https://github.com/YMC-GitHub/ymc-node-suite-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "ymc 's nodes for comfyui. This extension is composed of nodes that provide various utility features such as text, region, and I/O."
+        },
+        {
+            "author": "YMC",
+            "title": "ymc-node-as-x-type",
+            "reference": "https://github.com/YMC-GitHub/ymc-node-as-x-type",
+            "files": [
+                "https://github.com/YMC-GitHub/ymc-node-as-x-type"
+            ],
+            "install_type": "git-clone",
+            "description": "some comfyui custom nodes to set it as known type"
+        },
+        {
+            "author": "chibiace",
+            "title": "ComfyUI-Chibi-Nodes",
+            "id": "chibi",
+            "reference": "https://github.com/chibiace/ComfyUI-Chibi-Nodes",
+            "files": [
+                "https://github.com/chibiace/ComfyUI-Chibi-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Loader, Prompts, ImageTool, Wildcards, LoadEmbedding, ConditionText, SaveImages, ..."
+        },
+        {
+            "author": "DigitalIO",
+            "title": "ComfyUI-stable-wildcards",
+            "id": "stable-wildcards",
+            "reference": "https://github.com/DigitalIO/ComfyUI-stable-wildcards",
+            "files": [
+                "https://github.com/DigitalIO/ComfyUI-stable-wildcards"
+            ],
+            "install_type": "git-clone",
+            "description": "Wildcard implementation that can be reproduced with workflows."
+        },
+        {
+            "author": "THtianhao",
+            "title": "ComfyUI-Portrait-Maker",
+            "id": "portrait-maker",
+            "reference": "https://github.com/THtianhao/ComfyUI-Portrait-Maker",
+            "files": [
+                "https://github.com/THtianhao/ComfyUI-Portrait-Maker"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:RetainFace, FaceFusion, RatioMerge2Image, MaskMerge2Image, ReplaceBoxImg, ExpandMaskBox, FaceSkin, SkinRetouching, PortraitEnhancement, ..."
+        },
+        {
+            "author": "THtianhao",
+            "title": "ComfyUI-FaceChain",
+            "id": "facechain",
+            "reference": "https://github.com/THtianhao/ComfyUI-FaceChain",
+            "files": [
+                "https://github.com/THtianhao/ComfyUI-FaceChain"
+            ],
+            "install_type": "git-clone",
+            "description": "The official ComfyUI version of facechain greatly improves the speed of reasoning and has great custom process controls."
+        },
+        {
+            "author": "zer0TF",
+            "title": "Cute Comfy",
+            "id": "cutecomfy",
+            "reference": "https://github.com/zer0TF/cute-comfy",
+            "files": [
+                "https://github.com/zer0TF/cute-comfy"
+            ],
+            "install_type": "git-clone",
+            "description": "Adds a configurable folder watcher that auto-converts Comfy metadata into a Civitai-friendly format for automatic resource tagging when you upload images. Oh, and it makes your UI awesome, too. 💜"
+        },
+        {
+            "author": "chflame163",
+            "title": "ComfyUI_MSSpeech_TTS",
+            "id": "msspeech",
+            "reference": "https://github.com/chflame163/ComfyUI_MSSpeech_TTS",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_MSSpeech_TTS"
+            ],
+            "install_type": "git-clone",
+            "description": "A text-to-speech plugin used under ComfyUI. It utilizes the Microsoft Speech TTS interface to convert text content into MP3 format audio files."
+        },
+        {
+            "author": "chflame163",
+            "title": "ComfyUI_WordCloud",
+            "id": "wordcloud",
+            "reference": "https://github.com/chflame163/ComfyUI_WordCloud",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_WordCloud"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Word Cloud, Load Text File"
+        },
+        {
+            "author": "chflame163",
+            "title": "ComfyUI Layer Style",
+            "id": "layerstyle",
+            "reference": "https://github.com/chflame163/ComfyUI_LayerStyle",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_LayerStyle"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of nodes for ComfyUI it generate image like Adobe Photoshop's Layer Style. the Drop Shadow is first completed node, and follow-up work is in progress."
+        },
+        {
+            "author": "chflame163",
+            "title": "ComfyUI Face Similarity",
+            "id": "face-similarity",
+            "reference": "https://github.com/chflame163/ComfyUI_FaceSimilarity",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_FaceSimilarity"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for ComfyUI. It compare two images to rate facial similarity."
+        },
+        {
+            "author": "chflame163",
+            "title": "ComfyUI_CatVTON_Wrapper",
+            "id": "catvton-wrapper",
+            "reference": "https://github.com/chflame163/ComfyUI_CatVTON_Wrapper",
+            "files": [
+                "https://github.com/chflame163/ComfyUI_CatVTON_Wrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/CatVTON](https://github.com/Zheng-Chong/CatVTON) warpper for ComfyUI"
+        },
+        {
+            "author": "drustan-hawk",
+            "title": "primitive-types",
+            "reference": "https://github.com/drustan-hawk/primitive-types",
+            "files": [
+                "https://github.com/drustan-hawk/primitive-types"
+            ],
+            "install_type": "git-clone",
+            "description": "Small collection of typed primitive nodes."
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-mixlab-nodes",
+            "id": "mixlab",
+            "reference": "https://github.com/shadowcz007/comfyui-mixlab-nodes",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-mixlab-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "3D, ScreenShareNode & FloatingVideoNode, SpeechRecognition & SpeechSynthesis, GPT, LoadImagesFromLocal, Layers, Other Nodes, ..."
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-ultralytics-yolo",
+            "id": "yolo",
+            "reference": "https://github.com/shadowcz007/comfyui-ultralytics-yolo",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-ultralytics-yolo"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Detect By Label."
+        },
+        {
+            "author": "shadowcz007",
+            "title": "Consistency Decoder",
+            "id": "consistency-decoder",
+            "reference": "https://github.com/shadowcz007/comfyui-consistency-decoder",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-consistency-decoder"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/openai Consistency Decoder](https://github.com/openai/consistencydecoder). After downloading the [a/OpenAI VAE model](https://openaipublic.azureedge.net/diff-vae/c9cebd3132dd9c42936d803e33424145a748843c8f716c0814838bdc8a2fe7cb/decoder.pt), place it in the `model/vae` directory for use."
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-Image-reward",
+            "reference": "https://github.com/shadowcz007/comfyui-Image-reward",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-Image-reward"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/ImageReward](https://github.com/THUDM/ImageReward): Human preference learning in text-to-image generation. This is a [a/paper](https://arxiv.org/abs/2304.05977) from NeurIPS 2023"
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-sound-lab",
+            "id": "soundlab",
+            "reference": "https://github.com/shadowcz007/comfyui-sound-lab",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-sound-lab"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Music Gen, Audio Play, Stable Audio"
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-edit-mask",
+            "id": "edit-mask",
+            "reference": "https://github.com/shadowcz007/comfyui-edit-mask",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-edit-mask"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Edit Mask"
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-liveportrait",
+            "id": "liveportrait",
+            "reference": "https://github.com/shadowcz007/comfyui-liveportrait",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-liveportrait"
+            ],
+            "install_type": "git-clone",
+            "description": "The ComfyUI version of [a/LivePortrait](https://github.com/KwaiVGI/LivePortrait)."
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-try-on",
+            "reference": "https://github.com/shadowcz007/comfyui-try-on",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-try-on"
+            ],
+            "install_type": "git-clone",
+            "description": "Virtual try-on for creating a personal brand wardrobe collection."
+        },
+        {
+            "author": "ostris",
+            "title": "Ostris Nodes ComfyUI",
+            "id": "ostris",
+            "reference": "https://github.com/ostris/ostris_nodes_comfyui",
+            "files": [
+                "https://github.com/ostris/ostris_nodes_comfyui"
+            ],
+            "install_type": "git-clone",
+            "nodename_pattern": "- Ostris$",
+            "description": "This is a collection of custom nodes for ComfyUI that I made for some QOL. I will be adding much more advanced ones in the future once I get more familiar with the API."
+        },
+        {
+            "author": "0xbitches",
+            "title": "Latent Consistency Model for ComfyUI",
+            "id": "lcm",
+            "reference": "https://github.com/0xbitches/ComfyUI-LCM",
+            "files": [
+                "https://github.com/0xbitches/ComfyUI-LCM"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node implements a Latent Consistency Model sampler in ComfyUI. (LCM)"
+        },
+        {
+            "author": "aszc-dev",
+            "title": "Core ML Suite for ComfyUI",
+            "id": "coreml",
+            "reference": "https://github.com/aszc-dev/ComfyUI-CoreMLSuite",
+            "files": [
+                "https://github.com/aszc-dev/ComfyUI-CoreMLSuite"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension contains a set of custom nodes for ComfyUI that allow you to use Core ML models in your ComfyUI workflows. The models can be obtained here, or you can convert your own models using coremltools. The main motivation behind using Core ML models in ComfyUI is to allow you to utilize the ANE (Apple Neural Engine) on Apple Silicon (M1/M2) machines to improve performance."
+        },
+        {
+            "author": "taabata",
+            "title": "Syrian Falcon Nodes",
+            "id": "syrian",
+            "reference": "https://github.com/taabata/Comfy_Syrian_Falcon_Nodes",
+            "files": [
+                "https://github.com/taabata/Comfy_Syrian_Falcon_Nodes/raw/main/SyrianFalconNodes.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:Prompt editing, Word as Image"
+        },
+        {
+            "author": "taabata",
+            "title": "LCM_Inpaint-Outpaint_Comfy",
+            "id": "lcm-inpaint-outpaint",
+            "reference": "https://github.com/taabata/LCM_Inpaint-Outpaint_Comfy",
+            "files": [
+                "https://github.com/taabata/LCM_Inpaint-Outpaint_Comfy"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI custom nodes for inpainting/outpainting using the new latent consistency model (LCM)"
+        },
+        {
+            "author": "noxinias",
+            "title": "ComfyUI_NoxinNodes",
+            "id": "noxin",
+            "reference": "https://github.com/noxinias/ComfyUI_NoxinNodes",
+            "files": [
+                "https://github.com/noxinias/ComfyUI_NoxinNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Noxin Complete Chime, Noxin Scaled Resolutions, Load from Noxin Prompt Library, Save to Noxin Prompt Library"
+        },
+        {
+            "author": "apesplat",
+            "title": "ezXY scripts and nodes",
+            "id": "ezxy",
+            "reference": "https://github.com/GMapeSplat/ComfyUI_ezXY",
+            "files": [
+                "https://github.com/GMapeSplat/ComfyUI_ezXY"
+            ],
+            "install_type": "git-clone",
+            "description": "Extensions/Patches: Enables linking float and integer inputs and ouputs. Values are automatically cast to the correct type and clamped to the correct range. Works with both builtin and custom nodes.[w/NOTE: This repo patches ComfyUI's validate_inputs and map_node_over_list functions while running. May break depending on your version of ComfyUI. Can be deactivated in config.yaml.]Nodes: A collection of nodes for facilitating the generation of XY plots. Capable of plotting changes over most primitive values."
+        },
+        {
+            "author": "kinfolk0117",
+            "title": "SimpleTiles",
+            "id": "simpletiles",
+            "reference": "https://github.com/kinfolk0117/ComfyUI_SimpleTiles",
+            "files": [
+                "https://github.com/kinfolk0117/ComfyUI_SimpleTiles"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:TileSplit, TileMerge."
+        },
+        {
+            "author": "kinfolk0117",
+            "title": "ComfyUI_GradientDeepShrink",
+            "id": "deepshrink",
+            "reference": "https://github.com/kinfolk0117/ComfyUI_GradientDeepShrink",
+            "files": [
+                "https://github.com/kinfolk0117/ComfyUI_GradientDeepShrink"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:GradientPatchModelAddDownscale (Kohya Deep Shrink)."
+        },
+        {
+            "author": "kinfolk0117",
+            "title": "ComfyUI_Pilgram",
+            "id": "pilgram",
+            "reference": "https://github.com/kinfolk0117/ComfyUI_Pilgram",
+            "files": [
+                "https://github.com/kinfolk0117/ComfyUI_Pilgram"
+            ],
+            "install_type": "git-clone",
+            "description": "Use [a/Pilgram2](https://github.com/mgineer85/pilgram2) filters in ComfyUI"
+        },
+        {
+            "author": "Fictiverse",
+            "title": "ComfyUI Fictiverse Nodes",
+            "id": "fictverse",
+            "reference": "https://github.com/Fictiverse/ComfyUI_Fictiverse",
+            "files": [
+                "https://github.com/Fictiverse/ComfyUI_Fictiverse"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Color correction."
+        },
+        {
+            "author": "idrirap",
+            "title": "ComfyUI-Lora-Auto-Trigger-Words",
+            "id": "lora-auto-trigger",
+            "reference": "https://github.com/idrirap/ComfyUI-Lora-Auto-Trigger-Words",
+            "files": [
+                "https://github.com/idrirap/ComfyUI-Lora-Auto-Trigger-Words"
+            ],
+            "install_type": "git-clone",
+            "description": "This project is a fork of [a/https://github.com/Extraltodeus/LoadLoraWithTags](https://github.com/Extraltodeus/LoadLoraWithTags) The aim of these custom nodes is to get an easy access to the tags used to trigger a lora."
+        },
+        {
+            "author": "aianimation55",
+            "title": "Comfy UI FatLabels",
+            "id": "fatlab",
+            "reference": "https://github.com/aianimation55/ComfyUI-FatLabels",
+            "files": [
+                "https://github.com/aianimation55/ComfyUI-FatLabels"
+            ],
+            "install_type": "git-clone",
+            "description": "It's a super simple custom node for Comfy UI, to generate text, with a font size option. Useful for bigger labelling of nodes, helpful for wider screen captures or tutorials. Plus you can of course use the text within your generations."
+        },
+        {
+            "author": "noEmbryo",
+            "title": "noEmbryo nodes",
+            "id": "noembryo",
+            "reference": "https://github.com/noembryo/ComfyUI-noEmbryo",
+            "files": [
+                "https://github.com/noembryo/ComfyUI-noEmbryo"
+            ],
+            "install_type": "git-clone",
+            "description": "PromptTermList (1-6): are some nodes that help with the creation of Prompts inside ComfyUI. Resolution Scale outputs image dimensions using a scale factor. Regex Text Chopper outputs the chopped parts of a text using RegEx."
+        },
+        {
+            "author": "mikkel",
+            "title": "ComfyUI - Mask Bounding Box",
+            "id": "mask-bbox",
+            "reference": "https://github.com/mikkel/comfyui-mask-boundingbox",
+            "files": [
+                "https://github.com/mikkel/comfyui-mask-boundingbox"
+            ],
+            "install_type": "git-clone",
+            "description": "The ComfyUI Mask Bounding Box Plugin provides functionalities for selecting a specific size mask from an image. Can be combined with ClipSEG to replace any aspect of an SDXL image with an SD1.5 output."
+        },
+        {
+            "author": "ParmanBabra",
+            "title": "ComfyUI-Malefish-Custom-Scripts",
+            "id": "malefish",
+            "reference": "https://github.com/ParmanBabra/ComfyUI-Malefish-Custom-Scripts",
+            "files": [
+                "https://github.com/ParmanBabra/ComfyUI-Malefish-Custom-Scripts"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Multi Lora Loader, Random (Prompt), Combine (Prompt), CSV Prompts Loader"
+        },
+        {
+            "author": "IAmMatan.com",
+            "title": "ComfyUI Serving toolkit",
+            "id": "serving-toolkit",
+            "reference": "https://github.com/matan1905/ComfyUI-Serving-Toolkit",
+            "files": [
+                "https://github.com/matan1905/ComfyUI-Serving-Toolkit"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension adds nodes that allow you to easily serve your workflow (for example using a discord bot) "
+        },
+        {
+            "author": "PCMonsterx",
+            "title": "ComfyUI-CSV-Loader",
+            "id": "csv-loader",
+            "reference": "https://github.com/PCMonsterx/ComfyUI-CSV-Loader",
+            "files": [
+                "https://github.com/PCMonsterx/ComfyUI-CSV-Loader"
+            ],
+            "install_type": "git-clone",
+            "description": "CSV Loader for prompt building within ComfyUI interface. Allows access to positive/negative prompts associated with a name. Selections are being pulled from CSV files."
+        },
+        {
+            "author": "Trung0246",
+            "title": "ComfyUI-0246",
+            "id": "0246",
+            "reference": "https://github.com/Trung0246/ComfyUI-0246",
+            "files": [
+                "https://github.com/Trung0246/ComfyUI-0246"
+            ],
+            "install_type": "git-clone",
+            "description": "Random nodes for ComfyUI I made to solve my struggle with ComfyUI (ex: pipe, process). Have varying quality."
+        },
+        {
+            "author": "fexli",
+            "title": "fexli-util-node-comfyui",
+            "id": "fexli",
+            "reference": "https://github.com/fexli/fexli-util-node-comfyui",
+            "files": [
+                "https://github.com/fexli/fexli-util-node-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:FEImagePadForOutpaint, FEColorOut, FEColor2Image, FERandomizedColor2Image"
+        },
+        {
+            "author": "AbyssYuan0",
+            "title": "ComfyUI_BadgerTools",
+            "id": "badger",
+            "reference": "https://github.com/AbyssYuan0/ComfyUI_BadgerTools",
+            "files": [
+                "https://github.com/AbyssYuan0/ComfyUI_BadgerTools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ImageOverlap-badger, FloatToInt-badger, IntToString-badger, FloatToString-badger, ImageNormalization-badger, ImageScaleToSide-badger, NovelToFizz-badger."
+        },
+        {
+            "author": "palant",
+            "title": "Image Resize for ComfyUI",
+            "id": "image-resize",
+            "reference": "https://github.com/palant/image-resize-comfyui",
+            "files": [
+                "https://github.com/palant/image-resize-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node provides various tools for resizing images. The goal is resizing without distorting proportions, yet without having to perform any calculations with the size of the original image. If a mask is present, it is resized and modified along with the image."
+        },
+        {
+            "author": "palant",
+            "title": "Integrated Nodes for ComfyUI",
+            "reference": "https://github.com/palant/integrated-nodes-comfyui",
+            "files": [
+                "https://github.com/palant/integrated-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "This tool will turn entire workflows or parts of them into single integrated nodes. In a way, it is similar to the Node Templates functionality but hides the inner structure. This is useful if all you want is to reuse and quickly configure a bunch of nodes without caring how they are interconnected."
+        },
+        {
+            "author": "palant",
+            "title": "Extended Save Image for ComfyUI",
+            "reference": "https://github.com/palant/extended-saveimage-comfyui",
+            "files": [
+                "https://github.com/palant/extended-saveimage-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node is largely identical to the usual Save Image but allows saving images also in JPEG and WEBP formats, the latter with both lossless and lossy compression. Metadata is embedded in the images as usual, and the resulting images can be used to load a workflow."
+        },
+        {
+            "author": "whmc76",
+            "title": "ComfyUI-Openpose-Editor-Plus",
+            "id": "openpose-editor-plus",
+            "reference": "https://github.com/whmc76/ComfyUI-Openpose-Editor-Plus",
+            "files": [
+                "https://github.com/whmc76/ComfyUI-Openpose-Editor-Plus"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Openpose Editor Plus"
+        },
+        {
+            "author": "martijnat",
+            "title": "comfyui-previewlatent",
+            "reference": "https://github.com/martijnat/comfyui-previewlatent",
+            "files": [
+                "https://github.com/martijnat/comfyui-previewlatent"
+            ],
+            "install_type": "git-clone",
+            "description": "a ComfyUI plugin for previewing latents without vae decoding. Useful for showing intermediate results and can be used a faster 'preview image' if you don't wan't to use vae decode."
+        },
+        {
+            "author": "banodoco",
+            "title": "Steerable Motion",
+            "id": "steerable-motion",
+            "reference": "https://github.com/banodoco/steerable-motion",
+            "files": [
+                "https://github.com/banodoco/steerable-motion"
+            ],
+            "install_type": "git-clone",
+            "description": "Steerable Motion is a ComfyUI node for batch creative interpolation. Our goal is to feature the best methods for steering motion with images as video models evolve."
+        },
+        {
+            "author": "gemell1",
+            "title": "ComfyUI_GMIC",
+            "id": "gmic",
+            "reference": "https://github.com/gemell1/ComfyUI_GMIC",
+            "files": [
+                "https://github.com/gemell1/ComfyUI_GMIC"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:GMIC Image Processing."
+        },
+        {
+            "author": "LonicaMewinsky",
+            "title": "ComfyBreakAnim",
+            "id": "breakanim",
+            "reference": "https://github.com/LonicaMewinsky/ComfyUI-MakeFrame",
+            "files": [
+                "https://github.com/LonicaMewinsky/ComfyUI-MakeFrame"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:BreakFrames, GetKeyFrames, MakeGrid."
+        },
+        {
+            "author": "TheBarret",
+            "title": "ZSuite",
+            "id": "zsuite",
+            "reference": "https://github.com/TheBarret/ZSuite",
+            "files": [
+                "https://github.com/TheBarret/ZSuite"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Prompter, RF Noise, SeedMod."
+        },
+        {
+            "author": "romeobuilderotti",
+            "title": "ComfyUI PNG Metadata",
+            "id": "pngmeta",
+            "reference": "https://github.com/romeobuilderotti/ComfyUI-PNG-Metadata",
+            "files": [
+                "https://github.com/romeobuilderotti/ComfyUI-PNG-Metadata"
+            ],
+            "install_type": "git-clone",
+            "description": "Add custom Metadata fields to your saved PNG files."
+        },
+        {
+            "author": "ka-puna",
+            "title": "comfyui-yanc",
+            "id": "yanc",
+            "reference": "https://github.com/ka-puna/comfyui-yanc",
+            "files": [
+                "https://github.com/ka-puna/comfyui-yanc"
+            ],
+            "install_type": "git-clone",
+            "description": "NOTE: Concatenate Strings, Format Datetime String, Integer Caster, Multiline String, Truncate String. Yet Another Node Collection, a repository of simple nodes for ComfyUI. This repository eases the addition or removal of custom nodes to itself."
+        },
+        {
+            "author": "amorano",
+            "title": "Jovimetrix Composition Nodes",
+            "id": "jovimetrix",
+            "reference": "https://github.com/Amorano/Jovimetrix",
+            "files": [
+                "https://github.com/Amorano/Jovimetrix"
+            ],
+            "nodename_pattern": " \\(JOV\\)$",
+            "install_type": "git-clone",
+            "description": "Webcam, MIDI, Spout and GLSL shader support. Animation via tick. Parameter manipulation with wave generator. Math operations, universal value converstion, shape mask generation, image channel ops, batch splitting/merging/randomizing, load image/video from URL, Dynamic bus routing, support for GIPHY, save output anywhere! flatten, crop, transform; check color blindness, make stereograms or stereoscopic images, and much more."
+        },
+        {
+            "author": "Umikaze-job",
+            "title": "select_folder_path_easy",
+            "reference": "https://github.com/Umikaze-job/select_folder_path_easy",
+            "files": [
+                "https://github.com/Umikaze-job/select_folder_path_easy"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension simply connects the nodes and specifies the output path of the generated images to a manageable path."
+        },
+        {
+            "author": "Niutonian",
+            "title": "ComfyUi-NoodleWebcam",
+            "id": "noodle-webcam",
+            "reference": "https://github.com/Niutonian/ComfyUi-NoodleWebcam",
+            "files": [
+                "https://github.com/Niutonian/ComfyUi-NoodleWebcam"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Noodle webcam is a node that records frames and send them to your favourite node."
+        },
+        {
+            "author": "Feidorian",
+            "title": "feidorian-ComfyNodes",
+            "id": "feidorian",
+            "reference": "https://github.com/Feidorian/feidorian-ComfyNodes",
+            "nodename_pattern": "^Feidorian_",
+            "files": [
+                "https://github.com/Feidorian/feidorian-ComfyNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides various custom nodes. literals, loaders, logic, output, switches"
+        },
+        {
+            "author": "wutipong",
+            "title": "ComfyUI-TextUtils",
+            "reference": "https://github.com/wutipong/ComfyUI-TextUtils",
+            "files": [
+                "https://github.com/wutipong/ComfyUI-TextUtils"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Create N-Token String"
+        },
+        {
+            "author": "natto-maki",
+            "title": "ComfyUI-NegiTools",
+            "id": "negitools",
+            "reference": "https://github.com/natto-maki/ComfyUI-NegiTools",
+            "files": [
+                "https://github.com/natto-maki/ComfyUI-NegiTools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:OpenAI DALLe3, OpenAI Translate to English, String Function, Seed Generator"
+        },
+        {
+            "author": "LonicaMewinsky",
+            "title": "ComfyUI-RawSaver",
+            "id": "rawsaver",
+            "reference": "https://github.com/LonicaMewinsky/ComfyUI-RawSaver",
+            "files": [
+                "https://github.com/LonicaMewinsky/ComfyUI-RawSaver"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SaveTifImage. ComfyUI custom node for purpose of saving image as uint16 tif file."
+        },
+        {
+            "author": "jojkaart",
+            "title": "ComfyUI-sampler-lcm-alternative",
+            "id": "lmc-alt",
+            "reference": "https://github.com/jojkaart/ComfyUI-sampler-lcm-alternative",
+            "files": [
+                "https://github.com/jojkaart/ComfyUI-sampler-lcm-alternative"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:LCMScheduler, SamplerLCMAlternative, SamplerLCMCycle. ComfyUI Custom Sampler nodes that add a new improved LCM sampler functions"
+        },
+        {
+            "author": "GTSuya-Studio",
+            "title": "ComfyUI-GTSuya-Nodes",
+            "id": "gtsuya",
+            "reference": "https://github.com/GTSuya-Studio/ComfyUI-Gtsuya-Nodes",
+            "files": [
+                "https://github.com/GTSuya-Studio/ComfyUI-Gtsuya-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-GTSuya-Nodes is a ComfyUI extension designed to add several wildcards supports into ComfyUI. Wildcards allow you to use __name__ syntax in your prompt to get a random line from a file named name.txt in a wildcards directory."
+        },
+        {
+            "author": "oyvindg",
+            "title": "ComfyUI-TrollSuite",
+            "id": "troll",
+            "reference": "https://github.com/oyvindg/ComfyUI-TrollSuite",
+            "files": [
+                "https://github.com/oyvindg/ComfyUI-TrollSuite"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: BinaryImageMask, ImagePadding, LoadLastCreatedImage, RandomMask, TransparentImage."
+        },
+        {
+            "author": "drago87",
+            "title": "ComfyUI_Dragos_Nodes",
+            "id": "dragos",
+            "reference": "https://github.com/drago87/ComfyUI_Dragos_Nodes",
+            "files": [
+                "https://github.com/drago87/ComfyUI_Dragos_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:File Padding, Image Info, VAE Loader With Name"
+        },
+        {
+            "author": "ansonkao",
+            "title": "comfyui-geometry",
+            "id": "geometry",
+            "reference": "https://github.com/ansonkao/comfyui-geometry",
+            "files": [
+                "https://github.com/ansonkao/comfyui-geometry"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Mask to Centroid, Mask to Eigenvector. A small collection of custom nodes for use with ComfyUI, for geometry calculations"
+        },
+        {
+            "author": "bronkula",
+            "title": "comfyui-fitsize",
+            "id": "fitsize",
+            "reference": "https://github.com/bronkula/comfyui-fitsize",
+            "files": [
+                "https://github.com/bronkula/comfyui-fitsize"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Fit Size From Int/Image/Resize, Load Image And Resize To Fit, Pick Image From Batch/List, Crop Image Into Even Pieces, Image Region To Mask... A simple set of nodes for making an image fit within a bounding box"
+        },
+        {
+            "author": "toyxyz",
+            "title": "ComfyUI_toyxyz_test_nodes",
+            "id": "toyxyz",
+            "reference": "https://github.com/toyxyz/ComfyUI_toyxyz_test_nodes",
+            "files": [
+                "https://github.com/toyxyz/ComfyUI_toyxyz_test_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This node was created to send a webcam to ComfyUI in real time. This node is recommended for use with LCM."
+        },
+        {
+            "author": "thecooltechguy",
+            "title": "ComfyUI Stable Video Diffusion",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-Stable-Video-Diffusion",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-Stable-Video-Diffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "Easily use Stable Video Diffusion inside ComfyUI!"
+        },
+        {
+            "author": "thecooltechguy",
+            "title": "ComfyUI-ComfyRun",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-ComfyRun",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-ComfyRun"
+            ],
+            "install_type": "git-clone",
+            "description": "The easiest way to run & share any ComfyUI workflow [a/https://comfyrun.com](https://comfyrun.com)"
+        },
+        {
+            "author": "thecooltechguy",
+            "title": "ComfyUI-MagicAnimate",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-MagicAnimate",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-MagicAnimate"
+            ],
+            "install_type": "git-clone",
+            "description": "Easily use Magic Animate within ComfyUI!\n[w/WARN: This extension requires 15GB disk space.]"
+        },
+        {
+            "author": "thecooltechguy",
+            "title": "ComfyUI-ComfyWorkflows",
+            "reference": "https://github.com/thecooltechguy/ComfyUI-ComfyWorkflows",
+            "files": [
+                "https://github.com/thecooltechguy/ComfyUI-ComfyWorkflows"
+            ],
+            "install_type": "git-clone",
+            "description": "The best way to run, share, & discover thousands of ComfyUI workflows."
+        },
+        {
+            "author": "Danand",
+            "title": "Comfy Couple",
+            "reference": "https://github.com/Danand/ComfyUI-ComfyCouple",
+            "files": [
+                "https://github.com/Danand/ComfyUI-ComfyCouple"
+            ],
+            "install_type": "git-clone",
+            "description": " If you want to draw two different characters together without blending their features, so you could try to check out this custom node."
+        },
+        {
+            "author": "42lux",
+            "title": "ComfyUI-safety-checker",
+            "reference": "https://github.com/42lux/ComfyUI-safety-checker",
+            "files": [
+                "https://github.com/42lux/ComfyUI-safety-checker"
+            ],
+            "install_type": "git-clone",
+            "description": "A NSFW/Safety Checker Node for ComfyUI."
+        },
+        {
+            "author": "sergekatzmann",
+            "title": "ComfyUI_Nimbus-Pack",
+            "reference": "https://github.com/sergekatzmann/ComfyUI_Nimbus-Pack",
+            "files": [
+                "https://github.com/sergekatzmann/ComfyUI_Nimbus-Pack"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image Square Adapter Node, Image Resize And Crop Node"
+        },
+        {
+            "author": "komojini",
+            "title": "ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes",
+            "reference": "https://github.com/komojini/ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes",
+            "files": [
+                "https://github.com/komojini/ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:XL DreamBooth LoRA, S3 Bucket LoRA"
+        },
+        {
+            "author": "komojini",
+            "title": "komojini-comfyui-nodes",
+            "id": "komojini-nodes",
+            "reference": "https://github.com/komojini/komojini-comfyui-nodes",
+            "files": [
+                "https://github.com/komojini/komojini-comfyui-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:YouTube Video Loader. Custom ComfyUI Nodes for video generation"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "APISR IN COMFYUI",
+            "id": "apisr-zho",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-APISR",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-APISR"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of APISR for ComfyUI, both image and video"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-Text_Image-Composite [WIP]",
+            "id": "txtimg-composite",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Text_Image-Composite",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Text_Image-Composite"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Text_Image_Zho, Text_Image_Multiline_Zho, RGB_Image_Zho, AlphaChanelAddByMask, ImageComposite_Zho, ..."
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-Gemini",
+            "id": "gemini",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Gemini",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Gemini"
+            ],
+            "install_type": "git-clone",
+            "description": "Using Gemini-pro & Gemini-pro-vision in ComfyUI."
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "comfyui-portrait-master-zh-cn",
+            "id": "portrait-master-zho",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/comfyui-portrait-master-zh-cn",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/comfyui-portrait-master-zh-cn"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Portrait Master 简体中文版."
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-Q-Align",
+            "id": "qalign-zho",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Q-Align",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Q-Align"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Q-Align Scoring. Implementation of [a/Q-Align](https://arxiv.org/abs/2312.17090) for ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-InstantID",
+            "id": "instantid-zho",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/InstantID](https://github.com/InstantID/InstantID) for ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI PhotoMaker (ZHO)",
+            "id": "photomaker-zho",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PhotoMaker-ZHO",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PhotoMaker-ZHO"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/PhotoMaker](https://github.com/TencentARC/PhotoMaker) for ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-Qwen-VL-API",
+            "id": "qwen-vl-api",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API"
+            ],
+            "install_type": "git-clone",
+            "description": "QWen-VL-Plus & QWen-VL-Max in ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-SVD-ZHO (WIP)",
+            "id": "svd-zho",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO"
+            ],
+            "install_type": "git-clone",
+            "description": "My Workflows + Auxiliary nodes for Stable Video Diffusion (SVD)"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI SegMoE",
+            "id": "segmoe",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/SegMoE: Segmind Mixture of Diffusion Experts](https://github.com/segmind/segmoe) for ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI YoloWorld-EfficientSAM",
+            "id": "yoloworld",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/YOLO-World + EfficientSAM](https://huggingface.co/spaces/SkalskiP/YOLO-World) & [a/YOLO-World](https://github.com/AILab-CVC/YOLO-World) for ComfyUI\nNOTE: Install the efficient_sam model from the Install models menu.\n[w/When installing or updating this custom node, many installation packages may be downgraded due to the installation of requirements.\n!! python3.12 is incompatible.]"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-PixArt-alpha-Diffusers",
+            "id": "pixart-alpha",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PixArt-alpha-Diffusers",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PixArt-alpha-Diffusers"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/PixArt-alpha-Diffusers](https://github.com/PixArt-alpha/PixArt-alpha) for ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-BRIA_AI-RMBG",
+            "id": "bria-ai-rmbg",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of BRIA RMBG Model for ComfyUI."
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "DepthFM IN COMFYUI",
+            "id": "depthfm",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/DepthFM](https://github.com/CompVis/depth-fm) for ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-BiRefNet-ZHO",
+            "id": "birefnet",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BiRefNet-ZHO",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BiRefNet-ZHO"
+            ],
+            "install_type": "git-clone",
+            "description": "Better version for [a/BiRefNet](https://github.com/zhengpeng7/birefnet) in ComfyUI | Both img and video"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "Phi-3-mini in ComfyUI",
+            "id": "phi3mini",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Phi-3-mini",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Phi-3-mini"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Phi3mini_4k_ModelLoader_Zho, Phi3mini_4k_Zho, Phi3mini_4k_Chat_Zho"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-ArtGallery",
+            "id": "artgallery",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-ArtGallery",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-ArtGallery"
+            ],
+            "install_type": "git-clone",
+            "description": "Prompt Visualization | Art Gallery\n[w/WARN: Installation requires 2GB of space, and it will involve a long download time.]"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-Animated-optical-illusions",
+            "id": "animated-optical-illusion",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Animated-optical-illusions",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Animated-optical-illusions"
+            ],
+            "install_type": "git-clone",
+            "description": "Animated optical illusions in ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-Qwen-2",
+            "id": "qwen-2",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-2",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-2"
+            ],
+            "install_type": "git-clone",
+            "description": "Using Qwen-2 in ComfyUI"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-UltraEdit-ZHO",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-UltraEdit-ZHO",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-UltraEdit-ZHO"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/UltraEdit](https://github.com/HaozheZhao/UltraEdit) (Diffusers) for ComfyUI"
+        },
+        {
+            "author": "kenjiqq",
+            "title": "qq-nodes-comfyui",
+            "reference": "https://github.com/kenjiqq/qq-nodes-comfyui",
+            "files": [
+                "https://github.com/kenjiqq/qq-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Any List, Image Accumulator Start, Image Accumulator End, Load Lines From Text File, XY Grid Helper, Slice List, Axis To String/Int/Float/Model, ..."
+        },
+        {
+            "author": "80sVectorz",
+            "title": "ComfyUI-Static-Primitives",
+            "reference": "https://github.com/80sVectorz/ComfyUI-Static-Primitives",
+            "files": [
+                "https://github.com/80sVectorz/ComfyUI-Static-Primitives"
+            ],
+            "install_type": "git-clone",
+            "description": "Adds Static Primitives to ComfyUI. Mostly to work with reroute nodes"
+        },
+        {
+            "author": "AbdullahAlfaraj",
+            "title": "Comfy-Photoshop-SD",
+            "reference": "https://github.com/AbdullahAlfaraj/Comfy-Photoshop-SD",
+            "files": [
+                "https://github.com/AbdullahAlfaraj/Comfy-Photoshop-SD"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: load Image with metadata, get config data, load image from base64 string, Load Loras From Prompt, Generate Latent Noise, Combine Two Latents Into Batch, General Purpose Controlnet Unit, ControlNet Script, Content Mask Latent, Auto-Photoshop-SD Seed, Expand and Blur the Mask"
+        },
+        {
+            "author": "zhuanqianfish",
+            "title": "EasyCaptureNode for ComfyUI",
+            "reference": "https://github.com/zhuanqianfish/ComfyUI-EasyNode",
+            "files": [
+                "https://github.com/zhuanqianfish/ComfyUI-EasyNode"
+            ],
+            "install_type": "git-clone",
+            "description": "Capture window content from other programs, easyway combined with LCM for real-time painting"
+        },
+        {
+            "author": "discopixel-studio",
+            "title": "ComfyUI Discopixel Nodes",
+            "reference": "https://github.com/discopixel-studio/comfyui-discopixel",
+            "files": [
+                "https://github.com/discopixel-studio/comfyui-discopixel"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:TransformTemplateOntoFaceMask, ... A small collection of custom nodes for use with ComfyUI, by Discopixel"
+        },
+        {
+            "author": "zcfrank1st",
+            "title": "ComfyUI Yolov8",
+            "reference": "https://github.com/zcfrank1st/Comfyui-Yolov8",
+            "files": [
+                "https://github.com/zcfrank1st/Comfyui-Yolov8"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Yolov8Detection, Yolov8Segmentation. Deadly simple yolov8 comfyui plugin"
+        },
+        {
+            "author": "SoftMeng",
+            "title": "ComfyUI_Mexx_Styler",
+            "reference": "https://github.com/SoftMeng/ComfyUI_Mexx_Styler",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI_Mexx_Styler"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: ComfyUI Mexx Styler, ComfyUI Mexx Styler Advanced"
+        },
+        {
+            "author": "SoftMeng",
+            "title": "ComfyUI_Mexx_Poster",
+            "reference": "https://github.com/SoftMeng/ComfyUI_Mexx_Poster",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI_Mexx_Poster"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: ComfyUI_Mexx_Poster"
+        },
+        {
+            "author": "SoftMeng",
+            "title": "ComfyUI_ImageToText",
+            "reference": "https://github.com/SoftMeng/ComfyUI_ImageToText",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI_ImageToText"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: ComfyUI_ImageToText"
+        },
+        {
+            "author": "SoftMeng",
+            "title": "ComfyUI-DeepCache-Fix",
+            "reference": "https://github.com/SoftMeng/ComfyUI-DeepCache-Fix",
+            "files": [
+                "https://github.com/SoftMeng/ComfyUI-DeepCache-Fix"
+            ],
+            "install_type": "git-clone",
+            "description": "Accelerate ComfyUI Nodes for Faster Image Generation, Ensuring Consistency Pre and Post-Acceleration, Ideal for Bulk Image Production."
+        },
+        {
+            "author": "wmatson",
+            "title": "easy-comfy-nodes",
+            "reference": "https://github.com/wmatson/easy-comfy-nodes",
+            "files": [
+                "https://github.com/wmatson/easy-comfy-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of utility nodes primarily for interacting with comfy via automated systems"
+        },
+        {
+            "author": "DrJKL",
+            "title": "ComfyUI-Anchors",
+            "reference": "https://github.com/DrJKL/ComfyUI-Anchors",
+            "files": [
+                "https://github.com/DrJKL/ComfyUI-Anchors"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI extension to add spatial anchors/waypoints to better navigate large workflows."
+        },
+        {
+            "author": "vanillacode314",
+            "title": "Simple Wildcard",
+            "reference": "https://github.com/vanillacode314/SimpleWildcardsComfyUI",
+            "files": ["https://github.com/vanillacode314/SimpleWildcardsComfyUI"],
+            "install_type": "git-clone",
+            "pip": ["pipe"],
+            "description": "A simple wildcard node for ComfyUI. Can also be used a style prompt node."
+        },
+        {
+            "author": "WebDev9000",
+            "title": "WebDev9000-Nodes",
+            "reference": "https://github.com/WebDev9000/WebDev9000-Nodes",
+            "files": [
+                "https://github.com/WebDev9000/WebDev9000-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Ignore Braces, Settings Switch."
+        },
+        {
+            "author": "Scholar01",
+            "title": "SComfyUI-Keyframe",
+            "reference": "https://github.com/Scholar01/ComfyUI-Keyframe",
+            "files": [
+                "https://github.com/Scholar01/ComfyUI-Keyframe"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Keyframe Part, Keyframe Interpolation Part, Keyframe Apply."
+        },
+        {
+            "author": "Haoming02",
+            "title": "ComfyUI Old Photo Restoration",
+            "reference": "https://github.com/Haoming02/comfyui-old-photo-restoration",
+            "files": [
+                "https://github.com/Haoming02/comfyui-old-photo-restoration"
+            ],
+            "install_type": "git-clone",
+            "description": "Perform Bringing-Old-Photos-Back-to-Life"
+        },
+        {
+            "author": "Haoming02",
+            "title": "Diffusion CG",
+            "reference": "https://github.com/Haoming02/comfyui-diffusion-cg",
+            "files": [
+                "https://github.com/Haoming02/comfyui-diffusion-cg"
+            ],
+            "install_type": "git-clone",
+            "description": "Color Grading for Stable Diffusion"
+        },
+        {
+            "author": "Haoming02",
+            "title": "Prompt Format",
+            "reference": "https://github.com/Haoming02/comfyui-prompt-format",
+            "files": [
+                "https://github.com/Haoming02/comfyui-prompt-format"
+            ],
+            "install_type": "git-clone",
+            "description": "Add a button that formats the prompts in textfields"
+        },
+        {
+            "author": "Haoming02",
+            "title": "Clear Screen",
+            "reference": "https://github.com/Haoming02/comfyui-clear-screen",
+            "files": [
+                "https://github.com/Haoming02/comfyui-clear-screen"
+            ],
+            "install_type": "git-clone",
+            "description": "Add a button that clears the console"
+        },
+        {
+            "author": "Haoming02",
+            "title": "Menu Anchor",
+            "reference": "https://github.com/Haoming02/comfyui-menu-anchor",
+            "files": [
+                "https://github.com/Haoming02/comfyui-menu-anchor"
+            ],
+            "install_type": "git-clone",
+            "description": "Snaps the menu to the corner automatically"
+        },
+        {
+            "author": "Haoming02",
+            "title": "Tab Handler",
+            "reference": "https://github.com/Haoming02/comfyui-tab-handler",
+            "files": [
+                "https://github.com/Haoming02/comfyui-tab-handler"
+            ],
+            "install_type": "git-clone",
+            "description": "Use the Tab key to switch between textfields"
+        },
+        {
+            "author": "Haoming02",
+            "title": "Floodgate",
+            "reference": "https://github.com/Haoming02/comfyui-floodgate",
+            "files": [
+                "https://github.com/Haoming02/comfyui-floodgate"
+            ],
+            "install_type": "git-clone",
+            "description": "A node that allows you to switch between execution flow"
+        },
+        {
+            "author": "Haoming02",
+            "title": "Node Beautify",
+            "reference": "https://github.com/Haoming02/comfyui-node-beautify",
+            "files": [
+                "https://github.com/Haoming02/comfyui-node-beautify"
+            ],
+            "install_type": "git-clone",
+            "description": "Add a button that formats the workflow graph"
+        },
+        {
+            "author": "Haoming02",
+            "title": "ComfyUI ReSharpen",
+            "reference": "https://github.com/Haoming02/comfyui-resharpen",
+            "files": [
+                "https://github.com/Haoming02/comfyui-resharpen"
+            ],
+            "install_type": "git-clone",
+            "description": "Manipulate the details of generations."
+        },
+        {
+            "author": "bedovyy",
+            "title": "ComfyUI_NAIDGenerator",
+            "reference": "https://github.com/bedovyy/ComfyUI_NAIDGenerator",
+            "files": [
+                "https://github.com/bedovyy/ComfyUI_NAIDGenerator"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension helps generate images through NAI."
+        },
+        {
+            "author": "Off-Live",
+            "title": "ComfyUI-off-suite",
+            "reference": "https://github.com/Off-Live/ComfyUI-off-suite",
+            "files": [
+                "https://github.com/Off-Live/ComfyUI-off-suite"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image Crop Fit, OFF SEGS to Image, Crop Center wigh SEGS, Watermarking, GW Number Formatting Node."
+        },
+        {
+            "author": "ningxiaoxiao",
+            "title": "comfyui-NDI",
+            "reference": "https://github.com/ningxiaoxiao/comfyui-NDI",
+            "files": [
+                "https://github.com/ningxiaoxiao/comfyui-NDI"
+            ],
+            "pip": ["ndi-python"],
+            "install_type": "git-clone",
+            "description": "Real-time input output node for ComfyUI by NDI. Leveraging the powerful linking capabilities of NDI, you can access NDI video stream frames and send images generated by the model to NDI video streams."
+        },
+        {
+            "author": "subtleGradient",
+            "title": "Touchpad two-finger gesture support for macOS",
+            "reference": "https://github.com/subtleGradient/TinkerBot-tech-for-ComfyUI-Touchpad",
+            "files": [
+                "https://github.com/subtleGradient/TinkerBot-tech-for-ComfyUI-Touchpad"
+            ],
+            "install_type": "git-clone",
+            "description": "Two-finger scrolling (vertical and horizontal) to pan the canvas. Two-finger pinch to zoom in and out. Command-scroll up and down to zoom in and out. Fixes [a/comfyanonymous/ComfyUI#2059](https://github.com/comfyanonymous/ComfyUI/issues/2059)."
+        },
+        {
+            "author": "zcfrank1st",
+            "title": "comfyui_visual_anagram",
+            "reference": "https://github.com/zcfrank1st/comfyui_visual_anagrams",
+            "files": [
+                "https://github.com/zcfrank1st/comfyui_visual_anagrams"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:visual_anagrams_sample, visual_anagrams_animate"
+        },
+        {
+            "author": "Electrofried",
+            "title": "OpenAINode",
+            "reference": "https://github.com/Electrofried/ComfyUI-OpenAINode",
+            "files": [
+                "https://github.com/Electrofried/ComfyUI-OpenAINode"
+            ],
+            "install_type": "git-clone",
+            "description": "A simply node for hooking in to openAI API based servers via comfyUI"
+        },
+        {
+            "author": "AustinMroz",
+            "title": "SpliceTools",
+            "id": "splicetools",
+            "reference": "https://github.com/AustinMroz/ComfyUI-SpliceTools",
+            "files": [
+                "https://github.com/AustinMroz/ComfyUI-SpliceTools"
+            ],
+            "install_type": "git-clone",
+            "description": "Experimental utility nodes with a focus on manipulation of noised latents"
+        },
+        {
+            "author": "AustinMroz",
+            "title": "DynamicOversampling",
+            "id": "dynamic-oversampling",
+            "reference": "https://github.com/AustinMroz/ComfyUI-DynamicOversampling",
+            "files": [
+                "https://github.com/AustinMroz/ComfyUI-DynamicOversampling"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:DynamicSampler, MeasuredSampler, ResolveMaskPromise"
+        },
+        {
+            "author": "AustinMroz",
+            "title": "ComfyUI-WorkflowCheckpointing",
+            "id": "workflowcheckpointing",
+            "reference": "https://github.com/AustinMroz/ComfyUI-WorkflowCheckpointing",
+            "files": [
+                "https://github.com/AustinMroz/ComfyUI-WorkflowCheckpointing"
+            ],
+            "install_type": "git-clone",
+            "description": "Automatically creates checkpoints during workflow execution. If If an workflow is canceled or ComfyUI crashes mid-execution, then these checkpoints are used when the workflow is re-queued to resume execution with minimal progress loss."
+        },
+        {
+            "author": "11cafe",
+            "title": "ComfyUI Workspace Manager - Comfyspace",
+            "reference": "https://github.com/11cafe/comfyui-workspace-manager",
+            "files": [
+                "https://github.com/11cafe/comfyui-workspace-manager"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI custom node for project management to centralize the management of all your workflows in one place. Seamlessly switch between workflows, create and update them within a single workspace, like Google Docs."
+        },
+        {
+            "author": "knuknX",
+            "title": "ComfyUI-Image-Tools",
+            "reference": "https://github.com/knuknX/ComfyUI-Image-Tools",
+            "files": [
+                "https://github.com/knuknX/ComfyUI-Image-Tools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:BatchImageResizeProcessor, SingleImagePathLoader, SingleImageUrlLoader"
+        },
+        {
+            "author": "jtrue",
+            "title": "ComfyUI-JaRue",
+            "reference": "https://github.com/jtrue/ComfyUI-JaRue",
+            "files": [
+                "https://github.com/jtrue/ComfyUI-JaRue"
+            ],
+            "nodename_pattern": "_jru$",
+            "install_type": "git-clone",
+            "description": "A collection of nodes powering a tensor oracle on a home network with automation"
+        },
+        {
+            "author": "filliptm",
+            "title": "ComfyUI_Fill-Nodes",
+            "reference": "https://github.com/filliptm/ComfyUI_Fill-Nodes",
+            "files": [
+                "https://github.com/filliptm/ComfyUI_Fill-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "VFX nodes, Shaders, Utilities, Mask tools, Prompting Tools, and much more!"
+        },
+        {
+            "author": "zfkun",
+            "title": "ComfyUI_zfkun",
+            "reference": "https://github.com/zfkun/ComfyUI_zfkun",
+            "files": [
+                "https://github.com/zfkun/ComfyUI_zfkun"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of nodes for common tools, including text preview, text translation (multi-platform, multi-language), image loader, webcamera capture."
+        },
+        {
+            "author": "zcfrank1st",
+            "title": "Comfyui-Toolbox",
+            "reference": "https://github.com/zcfrank1st/Comfyui-Toolbox",
+            "files": [
+                "https://github.com/zcfrank1st/Comfyui-Toolbox"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Preview Json, Save Json, Test Json Preview, ... preview and save nodes"
+        },
+        {
+            "author": "talesofai",
+            "title": "ComfyUI Browser",
+            "reference": "https://github.com/talesofai/comfyui-browser",
+            "files": [
+                "https://github.com/talesofai/comfyui-browser"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an image/video/workflow browser and manager for ComfyUI. You could add image/video/workflow to collections and load it to ComfyUI. You will be able to use your collections everywhere."
+        },
+        {
+            "author": "yolain",
+            "title": "ComfyUI Easy Use",
+            "reference": "https://github.com/yolain/ComfyUI-Easy-Use",
+            "files": [
+                "https://github.com/yolain/ComfyUI-Easy-Use"
+            ],
+            "install_type": "git-clone",
+            "description": "To enhance the usability of ComfyUI, optimizations and integrations have been implemented for several commonly used nodes."
+        },
+        {
+            "author": "bruefire",
+            "title": "ComfyUI Sequential Image Loader",
+            "reference": "https://github.com/bruefire/ComfyUI-SeqImageLoader",
+            "files": [
+                "https://github.com/bruefire/ComfyUI-SeqImageLoader"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an extension node for ComfyUI that allows you to load frames from a video in bulk and perform masking and sketching on each frame through a GUI."
+        },
+        {
+            "author": "mmaker",
+            "title": "mmaker/Color Enhance",
+            "reference": "https://git.mmaker.moe/mmaker/sd-webui-color-enhance",
+            "files": [
+                "https://git.mmaker.moe/mmaker/sd-webui-color-enhance"
+            ],
+            "install_type": "git-clone",
+            "description": "Node: Color Enhance, Color Blend. This is the same algorithm GIMP/GEGL uses for color enhancement. The gist of this implementation is that it converts the color space to CIELCh(ab) and normalizes the chroma (or [colorfulness](https://en.wikipedia.org/wiki/Colorfulness)] component. Original source can be found in the link below."
+        },
+        {
+            "author": "modusCell",
+            "title": "Preset Dimensions",
+            "reference": "https://github.com/modusCell/ComfyUI-dimension-node-modusCell",
+            "files": [
+                "https://github.com/modusCell/ComfyUI-dimension-node-modusCell"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple node for sharing latent image size between nodes. Preset dimensions for SD and XL."
+        },
+        {
+            "author": "aria1th",
+            "title": "ComfyUI-LogicUtils",
+            "reference": "https://github.com/aria1th/ComfyUI-LogicUtils",
+            "files": [
+                "https://github.com/aria1th/ComfyUI-LogicUtils"
+            ],
+            "install_type": "git-clone",
+            "description": "Logical Utils (compare, string, boolean operations) for ComfyUI"
+        },
+        {
+            "author": "MitoshiroPJ",
+            "title": "ComfyUI Slothful Attention",
+            "reference": "https://github.com/MitoshiroPJ/comfyui_slothful_attention",
+            "files": [
+                "https://github.com/MitoshiroPJ/comfyui_slothful_attention"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node allow controlling output without training. The reducing method is similar to [a/Spatial-Reduction Attention](https://paperswithcode.com/method/spatial-reduction-attention), but generating speed may not be increased on typical image sizes due to overheads. (In some cases, slightly slower)"
+        },
+        {
+            "author": "brianfitzgerald",
+            "title": "StyleAligned for ComfyUI",
+            "reference": "https://github.com/brianfitzgerald/style_aligned_comfy",
+            "files": [
+                "https://github.com/brianfitzgerald/style_aligned_comfy"
+            ],
+            "install_type": "git-clone",
+            "description": "Implementation of the [a/StyleAligned](https://style-aligned-gen.github.io/) paper for ComfyUI. This node allows you to apply a consistent style to all images in a batch; by default it will use the first image in the batch as the style reference, forcing all other images to be consistent with it."
+        },
+        {
+            "author": "deroberon",
+            "title": "demofusion-comfyui",
+            "id": "demofusion",
+            "reference": "https://github.com/deroberon/demofusion-comfyui",
+            "files": [
+                "https://github.com/deroberon/demofusion-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "The Demofusion Custom Node is a wrapper that adapts the work and implementation of the [a/DemoFusion](https://ruoyidu.github.io/demofusion/demofusion.html) technique created and implemented by Ruoyi Du to the Comfyui environment."
+        },
+        {
+            "author": "deroberon",
+            "title": "StableZero123-comfyui",
+            "reference": "https://github.com/deroberon/StableZero123-comfyui",
+            "files": [
+                "https://github.com/deroberon/StableZero123-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "StableZero123 is a node wrapper that uses the model and technique provided [here](https://github.com/SUDO-AI-3D/zero123plus/). It uses the Zero123plus model to generate 3D views using just one image."
+        },
+        {
+            "author": "glifxyz",
+            "title": "ComfyUI-GlifNodes",
+            "id": "glif",
+            "reference": "https://github.com/glifxyz/ComfyUI-GlifNodes",
+            "files": [
+                "https://github.com/glifxyz/ComfyUI-GlifNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom set of nodes used by glif.app. With glif you can build mini apps that are powered by custom comfy workflows."
+        },
+        {
+            "author": "concarne000",
+            "title": "ConCarneNode",
+            "reference": "https://github.com/concarne000/ConCarneNode",
+            "files": [
+                "https://github.com/concarne000/ConCarneNode"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Bing Image Grabber, Zephyr chat, Hermes Chat"
+        },
+        {
+            "author": "Aegis72",
+            "title": "AegisFlow Utility Nodes",
+            "id": "aegis",
+            "reference": "https://github.com/aegis72/aegisflow_utility_nodes",
+            "files": [
+                "https://github.com/aegis72/aegisflow_utility_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "These nodes will be placed in comfyui/custom_nodes/aegisflow and contains the image passer (accepts an image as either wired or wirelessly, input and passes it through. Latent passer does the same for latents, and the Preprocessor chooser allows a passthrough image and 10 controlnets to be passed in AegisFlow Shima. The inputs on the Preprocessor  chooser should not be renamed if you intend to accept image inputs wirelessly through UE nodes. It can be done, but the send node input regex for each controlnet preprocessor column must also be changed."
+        },
+        {
+            "author": "Aegis72",
+            "title": "ComfyUI-styles-all",
+            "id": "styles-all",
+            "reference": "https://github.com/aegis72/comfyui-styles-all",
+            "files": [
+                "https://github.com/aegis72/comfyui-styles-all"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a straight clone of Azazeal04's all-in-one styler menu, which was removed from gh on Jan 21, 2024. I have made no changes to the files at all."
+        },
+        {
+            "author": "glibsonoran",
+            "title": "Plush-for-ComfyUI",
+            "id": "plush",
+            "reference": "https://github.com/glibsonoran/Plush-for-ComfyUI",
+            "files": [
+                "https://github.com/glibsonoran/Plush-for-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Style Prompt, OAI Dall_e Image. Plush contains two OpenAI enabled nodes: Style Prompt: Takes your prompt and the art style you specify and generates a prompt from ChatGPT3 or 4 that Stable Diffusion can use to generate an image in that style. OAI Dall_e 3: Takes your prompt and parameters and produces a Dall_e3 image in ComfyUI."
+        },
+        {
+            "author": "vienteck",
+            "title": "ComfyUI-Chat-GPT-Integration",
+            "reference": "https://github.com/vienteck/ComfyUI-Chat-GPT-Integration",
+            "files": [
+                "https://github.com/vienteck/ComfyUI-Chat-GPT-Integration"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension is a reimagined version based on the [a/ComfyUI-QualityOfLifeSuit_Omar92](https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92) extension, and it supports integration with ChatGPT through the new OpenAI API.\nNOTE: See detailed installation instructions on the [a/repository](https://github.com/vienteck/ComfyUI-Chat-GPT-Integration)."
+        },
+        {
+            "author": "MNeMoNiCuZ",
+            "title": "ComfyUI-mnemic-nodes",
+            "id": "mnemic",
+            "reference": "https://github.com/MNeMoNiCuZ/ComfyUI-mnemic-nodes",
+            "files": [
+                "https://github.com/MNeMoNiCuZ/ComfyUI-mnemic-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Save Text File, Download Image from URL, Groq LLM API, Generate Negative Prompt (experimental)"
+        },
+        {
+            "author": "AI2lab",
+            "title": "comfyUI-tool-2lab",
+            "id": "tool-2lab",
+            "reference": "https://github.com/AI2lab/comfyUI-tool-2lab",
+            "files": [
+                "https://github.com/AI2lab/comfyUI-tool-2lab"
+            ],
+            "install_type": "git-clone",
+            "description": "tool set for developing workflow and publish to web api server"
+        },
+        {
+            "author": "AI2lab",
+            "title": "comfyUI-DeepSeek-2lab",
+            "id": "deepseek",
+            "reference": "https://github.com/AI2lab/comfyUI-DeepSeek-2lab",
+            "files": [
+                "https://github.com/AI2lab/comfyUI-DeepSeek-2lab"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of DeepSeek for ComfyUI"
+        },
+        {
+            "author": "AI2lab",
+            "title": "comfyUI-siliconflow-api-2lab",
+            "id": "siliconflow",
+            "reference": "https://github.com/AI2lab/comfyUI-siliconflow-api-2lab",
+            "files": [
+                "https://github.com/AI2lab/comfyUI-siliconflow-api-2lab"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of siliconflow API for ComfyUI\nHow to use:apply api key in ：https://cloud.siliconflow.cn/\nadd api key in config.json"
+        },
+        {
+            "author": "SpaceKendo",
+            "title": "Text to video for Stable Video Diffusion in ComfyUI",
+            "id": "svd-txt2vid",
+            "reference": "https://github.com/SpaceKendo/ComfyUI-svd_txt2vid",
+            "files": [
+                "https://github.com/SpaceKendo/ComfyUI-svd_txt2vid"
+            ],
+            "install_type": "git-clone",
+            "description": "This is node replaces the init_image conditioning for the [a/Stable Video Diffusion](https://github.com/Stability-AI/generative-models) image to video model with text embeds, together with a conditioning frame. The conditioning frame is a set of latents."
+        },
+        {
+            "author": "NimaNzrii",
+            "title": "comfyui-popup_preview",
+            "id": "popup-preview",
+            "reference": "https://github.com/NimaNzrii/comfyui-popup_preview",
+            "files": [
+                "https://github.com/NimaNzrii/comfyui-popup_preview"
+            ],
+            "install_type": "git-clone",
+            "description": "popup preview for comfyui"
+        },
+        {
+            "author": "NimaNzrii",
+            "title": "comfyui-photoshop",
+            "id": "comfy-photoshop",
+            "reference": "https://github.com/NimaNzrii/comfyui-photoshop",
+            "files": [
+                "https://github.com/NimaNzrii/comfyui-photoshop"
+            ],
+            "install_type": "git-clone",
+            "description": "Powerfull bridge to Photoshop by NimaNzrii"
+        },
+        {
+            "author": "Rui",
+            "title": "RUI-Nodes",
+            "id": "rui-nodes",
+            "reference": "https://github.com/rui40000/RUI-Nodes",
+            "files": [
+                "https://github.com/rui40000/RUI-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Rui's workflow-specific custom node, written using GPT."
+        },
+        {
+            "author": "dmarx",
+            "title": "ComfyUI-Keyframed",
+            "id": "keyframed",
+            "reference": "https://github.com/dmarx/ComfyUI-Keyframed",
+            "files": [
+                "https://github.com/dmarx/ComfyUI-Keyframed"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to facilitate parameter/prompt keyframing using comfyui nodes for defining and manipulating parameter curves. Essentially provides a ComfyUI interface to the [a/keyframed](https://github.com/dmarx/keyframed) library."
+        },
+        {
+            "author": "dmarx",
+            "title": "ComfyUI-AudioReactive",
+            "id": "audioreactive",
+            "reference": "https://github.com/dmarx/ComfyUI-AudioReactive",
+            "files": [
+                "https://github.com/dmarx/ComfyUI-AudioReactive"
+            ],
+            "install_type": "git-clone",
+            "description": "porting audioreactivity pipeline from vktrs to comfyui."
+        },
+        {
+            "author": "TripleHeadedMonkey",
+            "title": "ComfyUI_MileHighStyler",
+            "id": "milehighstyler",
+            "reference": "https://github.com/TripleHeadedMonkey/ComfyUI_MileHighStyler",
+            "files": [
+                "https://github.com/TripleHeadedMonkey/ComfyUI_MileHighStyler"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides various SDXL Prompt Stylers. See: [a/youtube](https://youtu.be/WBHI-2uww7o?si=dijvDaUI4nmx4VkF)"
+        },
+        {
+            "author": "BennyKok",
+            "title": "ComfyUI Deploy",
+            "id": "comfy-deploy",
+            "reference": "https://github.com/BennyKok/comfyui-deploy",
+            "files": [
+                "https://github.com/BennyKok/comfyui-deploy"
+            ],
+            "install_type": "git-clone",
+            "description": "Open source comfyui deployment platform, a vercel for generative workflow infra."
+        },
+        {
+            "author": "florestefano1975",
+            "title": "comfyui-portrait-master",
+            "id": "portrait-master",
+            "reference": "https://github.com/florestefano1975/comfyui-portrait-master",
+            "files": [
+                "https://github.com/florestefano1975/comfyui-portrait-master"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Portrait Master. A node designed to help AI image creators to generate prompts for human portraits."
+        },
+        {
+            "author": "florestefano1975",
+            "title": "comfyui-prompt-composer",
+            "id": "prompt-composer",
+            "reference": "https://github.com/florestefano1975/comfyui-prompt-composer",
+            "files": [
+                "https://github.com/florestefano1975/comfyui-prompt-composer"
+            ],
+            "install_type": "git-clone",
+            "description": "A suite of tools for prompt management. Combining nodes helps the user sequence strings for prompts, also creating logical groupings if necessary. Individual nodes can be chained together in any order."
+        },
+        {
+            "author": "florestefano1975",
+            "title": "ComfyUI StabilityAI Suite",
+            "id": "sai-suite",
+            "reference": "https://github.com/florestefano1975/ComfyUI-StabilityAI-Suite",
+            "files": [
+                "https://github.com/florestefano1975/ComfyUI-StabilityAI-Suite"
+            ],
+            "install_type": "git-clone",
+            "description": "This fork of the official StabilityAI repository contains a number of enhancements and implementations."
+        },
+        {
+            "author": "florestefano1975",
+            "title": "ComfyUI HiDiffusion",
+            "id": "hidiffusion",
+            "reference": "https://github.com/florestefano1975/ComfyUI-HiDiffusion",
+            "files": [
+                "https://github.com/florestefano1975/ComfyUI-HiDiffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple custom nodes for testing and use HiDiffusion technology: https://github.com/megvii-research/HiDiffusion/"
+        },
+        {
+            "author": "florestefano1975",
+            "title": "Advanced Sequence Seed Generator",
+            "id": "adv-seq-seed-gen",
+            "reference": "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed",
+            "files": [
+                "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple seed generator based on special number sequences: Fibonacci, Prime, Padovan, Triangular, Catalan, Pell, Lucas"
+        },
+        {
+            "author": "mozman",
+            "title": "ComfyUI_mozman_nodes",
+            "id": "mozman-nodes",
+            "reference": "https://github.com/mozman/ComfyUI_mozman_nodes",
+            "files": [
+                "https://github.com/mozman/ComfyUI_mozman_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides styler nodes for SDXL.\n\nNOTE: Due to the dynamic nature of node name definitions, ComfyUI-Manager cannot recognize the node list from this extension. The Missing nodes and Badge features are not available for this extension."
+        },
+        {
+            "author": "rcsaquino",
+            "title": "rcsaquino/comfyui-custom-nodes",
+            "id": "rcsaquino-nodes",
+            "reference": "https://github.com/rcsaquino/comfyui-custom-nodes",
+            "files": [
+                "https://github.com/rcsaquino/comfyui-custom-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: VAE Processor, VAE Loader, Background Remover"
+        },
+        {
+            "author": "rcfcu2000",
+            "title": "zhihuige-nodes-comfyui",
+            "id": "zhihuige-nodes",
+            "reference": "https://github.com/rcfcu2000/zhihuige-nodes-comfyui",
+            "files": [
+                "https://github.com/rcfcu2000/zhihuige-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Combine ZHGMasks, Cover ZHGMasks, ZHG FaceIndex, ZHG SaveImage, ZHG SmoothEdge, ZHG GetMaskArea, ..."
+        },
+        {
+            "author": "IDGallagher",
+            "title": "IG Interpolation Nodes",
+            "id": "ig-nodes",
+            "reference": "https://github.com/IDGallagher/ComfyUI-IG-Nodes",
+            "files": [
+                "https://github.com/IDGallagher/ComfyUI-IG-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes to aid in the exploration of Latent Space"
+        },
+        {
+            "author": "violet-chen",
+            "title": "comfyui-psd2png",
+            "id": "psd2png",
+            "reference": "https://github.com/violet-chen/comfyui-psd2png",
+            "files": [
+                "https://github.com/violet-chen/comfyui-psd2png"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Psd2Png."
+        },
+        {
+            "author": "lldacing",
+            "title": "comfyui-easyapi-nodes",
+            "id": "easyapi",
+            "reference": "https://github.com/lldacing/comfyui-easyapi-nodes",
+            "files": [
+                "https://github.com/lldacing/comfyui-easyapi-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Provides some features and nodes related to API calls."
+        },
+        {
+            "author": "CosmicLaca",
+            "title": "Primere nodes for ComfyUI",
+            "id": "primere",
+            "reference": "https://github.com/CosmicLaca/ComfyUI_Primere_Nodes",
+            "files": [
+                "https://github.com/CosmicLaca/ComfyUI_Primere_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides various utility nodes. Inputs(prompt, styles, dynamic, merger, ...), Outputs(style pile), Dashboard(selectors, loader, switch, ...), Networks(LORA, Embedding, Hypernetwork), Visuals(visual selectors, )"
+        },
+        {
+            "author": "RenderRift",
+            "title": "ComfyUI-RenderRiftNodes",
+            "id": "renderrift",
+            "reference": "https://github.com/RenderRift/ComfyUI-RenderRiftNodes",
+            "files": [
+                "https://github.com/RenderRift/ComfyUI-RenderRiftNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:RR_Date_Folder_Format, RR_Image_Metadata_Overlay, RR_VideoPathMetaExtraction, RR_DisplayMetaOptions. This extension provides nodes designed to enhance the Animatediff workflow."
+        },
+        {
+            "author": "OpenArt-AI",
+            "title": "ComfyUI Assistant",
+            "id": "openart",
+            "reference": "https://github.com/OpenArt-AI/ComfyUI-Assistant",
+            "files": [
+                "https://github.com/OpenArt-AI/ComfyUI-Assistant"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Assistant is your one stop plugin for everything you need to get started with comfy-ui. Now it provides useful courses, tutorials, and basic templates."
+        },
+        {
+            "author": "ttulttul",
+            "title": "ComfyUI Iterative Mixing Nodes",
+            "id": "itermix",
+            "reference": "https://github.com/ttulttul/ComfyUI-Iterative-Mixer",
+            "files": [
+                "https://github.com/ttulttul/ComfyUI-Iterative-Mixer"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to use Florence2 VLM for image vision tasks: object detection, captioning, segmentation and ocr"
+        },
+        {
+            "author": "ttulttul",
+            "title": "ComfyUI-Tensor-Operations",
+            "id": "tensorop",
+            "reference": "https://github.com/ttulttul/ComfyUI-Tensor-Operations",
+            "files": [
+                "https://github.com/ttulttul/ComfyUI-Tensor-Operations"
+            ],
+            "install_type": "git-clone",
+            "description": "This repo contains nodes for ComfyUI that implement some helpful operations on tensors, such as normalization."
+        },
+        {
+            "author": "jitcoder",
+            "title": "LoraInfo",
+            "id": "lorainfo",
+            "reference": "https://github.com/jitcoder/lora-info",
+            "files": [
+                "https://github.com/jitcoder/lora-info"
+            ],
+            "install_type": "git-clone",
+            "description": "Shows Lora information from CivitAI and outputs trigger words and example prompt"
+        },
+        {
+            "author": "ceruleandeep",
+            "title": "ComfyUI LLaVA Captioner",
+            "id": "llava-captioner",
+            "reference": "https://github.com/ceruleandeep/ComfyUI-LLaVA-Captioner",
+            "files": [
+                "https://github.com/ceruleandeep/ComfyUI-LLaVA-Captioner"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI extension for chatting with your images. Runs on your own system, no external services used, no filter. Uses the [a/LLaVA multimodal LLM](https://llava-vl.github.io/) so you can give instructions or ask questions in natural language. It's maybe as smart as GPT3.5, and it can see."
+        },
+        {
+            "author": "styler00dollar",
+            "title": "ComfyUI-sudo-latent-upscale",
+            "id": "sudo-latent-upscale",
+            "reference": "https://github.com/styler00dollar/ComfyUI-sudo-latent-upscale",
+            "files": [
+                "https://github.com/styler00dollar/ComfyUI-sudo-latent-upscale"
+            ],
+            "install_type": "git-clone",
+            "description": "Directly upscaling inside the latent space. Model was trained for SD1.5 and drawn content. Might add new architectures or update models at some point. This took heavy inspriration from [city96/SD-Latent-Upscaler](https://github.com/city96/SD-Latent-Upscaler) and [Ttl/ComfyUi_NNLatentUpscale](https://github.com/Ttl/ComfyUi_NNLatentUpscale). "
+        },
+        {
+            "author": "styler00dollar",
+            "title": "ComfyUI-deepcache",
+            "id": "deepcache",
+            "reference": "https://github.com/styler00dollar/ComfyUI-deepcache",
+            "files": [
+                "https://github.com/styler00dollar/ComfyUI-deepcache"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides nodes for [a/DeepCache: Accelerating Diffusion Models for Free](https://arxiv.org/abs/2312.00858)\nNOTE:Original code can be found [a/here](https://gist.github.com/laksjdjf/435c512bc19636e9c9af4ee7bea9eb86). Full credit to laksjdjf for sharing the code. "
+        },
+        {
+            "author": "HarroweD and quadmoon",
+            "title": "Harrlogos Prompt Builder Node",
+            "id": "harrlogos-prompt-builder",
+            "reference": "https://github.com/NotHarroweD/Harronode",
+            "nodename_pattern": "Harronode",
+            "files": [
+                "https://github.com/NotHarroweD/Harronode"
+            ],
+            "install_type": "git-clone",
+            "description": "Harronode is a custom node designed to build prompts easily for use with the Harrlogos SDXL LoRA. This Node simplifies the process of crafting prompts and makes all built in activation terms available at your fingertips."
+        },
+        {
+            "author": "Limitex",
+            "title": "ComfyUI-Calculation",
+            "id": "calc",
+            "reference": "https://github.com/Limitex/ComfyUI-Calculation",
+            "files": [
+                "https://github.com/Limitex/ComfyUI-Calculation"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Center Calculation. Improved Numerical Calculation for ComfyUI"
+        },
+        {
+            "author": "Limitex",
+            "title": "ComfyUI-Diffusers",
+            "id": "diffusers",
+            "reference": "https://github.com/Limitex/ComfyUI-Diffusers",
+            "files": [
+                "https://github.com/Limitex/ComfyUI-Diffusers"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension enables the use of the diffuser pipeline in ComfyUI."
+        },
+        {
+            "author": "aiXander",
+            "title": "Eden.art nodesuite",
+            "id": "eden",
+            "reference": "https://github.com/edenartlab/eden_comfy_pipelines",
+            "files": [
+                "https://github.com/edenartlab/eden_comfy_pipelines"
+            ],
+            "install_type": "git-clone",
+            "description": "Maintained by Eden.art, this is a growing suite of custom nodes for building advanced pipelines."
+        },
+        {
+            "author": "aiXander",
+            "title": "Eden.art LoRa Trainer",
+            "id": "eden-lora-trainer",
+            "reference": "https://github.com/edenartlab/sd-lora-trainer",
+            "files": [
+                "https://github.com/edenartlab/sd-lora-trainer"
+            ],
+            "install_type": "git-clone",
+            "description": "Maintained by Eden.art, this is a very fast, well tuned trainer for SDXL and SD15"
+        },
+        {
+            "author": "pkpk",
+            "title": "ComfyUI-SaveAVIF",
+            "id": "saveavif",
+            "reference": "https://github.com/pkpkTech/ComfyUI-SaveAVIF",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-SaveAVIF"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node on ComfyUI that saves images in AVIF format. Workflow can be loaded from images saved at this node."
+        },
+        {
+            "author": "pkpkTech",
+            "title": "ComfyUI-ngrok",
+            "id": "ngrok",
+            "reference": "https://github.com/pkpkTech/ComfyUI-ngrok",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-ngrok"
+            ],
+            "install_type": "git-clone",
+            "description": "Use ngrok to allow external access to ComfyUI.\nNOTE: Need to manually modify a token inside the __init__.py file."
+        },
+        {
+            "author": "pkpk",
+            "title": "ComfyUI-TemporaryLoader",
+            "id": "temploader",
+            "reference": "https://github.com/pkpkTech/ComfyUI-TemporaryLoader",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-TemporaryLoader"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a custom node of ComfyUI that downloads and loads models from the input URL. The model is temporarily downloaded into memory and not saved to storage.\nThis could be useful when trying out models or when using various models on machines with limited storage. Since the model is downloaded into memory, expect higher memory usage than usual."
+        },
+        {
+            "author": "pkpkTech",
+            "title": "ComfyUI-SaveQueues",
+            "id": "savequeues",
+            "reference": "https://github.com/pkpkTech/ComfyUI-SaveQueues",
+            "files": [
+                "https://github.com/pkpkTech/ComfyUI-SaveQueues"
+            ],
+            "install_type": "git-clone",
+            "description": "Add a button to the menu to save and load the running queue and the pending queues.\nThis is intended to be used when you want to exit ComfyUI with queues still remaining."
+        },
+        {
+            "author": "Crystian",
+            "title": "Crystools",
+            "id": "crytools",
+            "reference": "https://github.com/crystian/ComfyUI-Crystools",
+            "files": [
+                "https://github.com/crystian/ComfyUI-Crystools"
+            ],
+            "nodename_pattern": " \\[Crystools\\]$",
+            "install_type": "git-clone",
+            "description": "With this suit, you can see the resources monitor, progress bar & time elapsed, metadata and compare between two images, compare between two JSONs, show any value to console/display, pipes, and more!\nThis provides better nodes to load/save images, previews, etc, and see \"hidden\" data without loading a new workflow."
+        },
+        {
+            "author": "Crystian",
+            "title": "Crystools-save",
+            "id": "crytools-save",
+            "reference": "https://github.com/crystian/ComfyUI-Crystools-save",
+            "files": [
+                "https://github.com/crystian/ComfyUI-Crystools-save"
+            ],
+            "install_type": "git-clone",
+            "description": "With this quality of life extension, you can save your workflow with a specific name and include additional details such as the author, a description, and the version (in metadata/json). Important: When you share your workflow (via png/json), others will be able to see your information!"
+        },
+        {
+            "author": "Kangkang625",
+            "title": "ComfyUI-Paint-by-Example",
+            "id": "paint-by-example",
+            "reference": "https://github.com/Kangkang625/ComfyUI-paint-by-example",
+            "pip": ["diffusers"],
+            "files": [
+                "https://github.com/Kangkang625/ComfyUI-paint-by-example"
+            ],
+            "install_type": "git-clone",
+            "description": "This repo is a simple implementation of [a/Paint-by-Example](https://github.com/Fantasy-Studio/Paint-by-Example) based on its [a/huggingface pipeline](https://huggingface.co/Fantasy-Studio/Paint-by-Example)."
+        },
+        {
+            "author": "54rt1n",
+            "title": "ComfyUI-DareMerge",
+            "id": "daremerge",
+            "reference": "https://github.com/54rt1n/ComfyUI-DareMerge",
+            "files": [
+                "https://github.com/54rt1n/ComfyUI-DareMerge"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI powertools for SD1.5 and SDXL model merging."
+        },
+        {
+            "author": "an90ray",
+            "title": "ComfyUI_RErouter_CustomNodes",
+            "id": "rerouter",
+            "reference": "https://github.com/an90ray/ComfyUI_RErouter_CustomNodes",
+            "files": [
+                "https://github.com/an90ray/ComfyUI_RErouter_CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: RErouter, String (RE), Int (RE)"
+        },
+        {
+            "author": "jesenzhang",
+            "title": "ComfyUI_StreamDiffusion",
+            "id": "streamdiffusion",
+            "reference": "https://github.com/jesenzhang/ComfyUI_StreamDiffusion",
+            "files": [
+                "https://github.com/jesenzhang/ComfyUI_StreamDiffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a simple implementation StreamDiffusion(A Pipeline-Level Solution for Real-Time Interactive Generation) for ComfyUI"
+        },
+        {
+            "author": "ai-liam",
+            "title": "LiamUtil (single node)",
+            "id": "liam-util-single",
+            "reference": "https://github.com/ai-liam/comfyui_liam_util",
+            "files": [
+                "https://github.com/ai-liam/comfyui_liam_util"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: LiamLoadImage. This node provides the capability to load images from a URL."
+        },
+        {
+            "author": "ai-liam",
+            "title": "LiamUtil",
+            "id": "liam-util",
+            "reference": "https://github.com/ai-liam/comfyui-liam",
+            "files": [
+                "https://github.com/ai-liam/comfyui-liam"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: LiamLibLoadImage, LiamLibImageToGray, LiamLibSaveImg, LiamLibFillImage, PreviewReliefImage, GetBetterDepthImage, LiamLibSaveText"
+        },
+        {
+            "author": "Ryuukeisyou",
+            "title": "comfyui_face_parsing",
+            "id": "face-parsing",
+            "reference": "https://github.com/Ryuukeisyou/comfyui_face_parsing",
+            "files": [
+                "https://github.com/Ryuukeisyou/comfyui_face_parsing"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a set of custom nodes for ComfyUI. The nodes utilize the [a/face parsing model](https://huggingface.co/jonathandinu/face-parsing) to provide detailed segmantation of face. To improve face segmantation accuracy, [a/yolov8 face model](https://huggingface.co/Bingsu/adetailer/) is used to first extract face from an image. There are also auxiliary nodes for image and mask processing. A guided filter is also provided for skin smoothing."
+        },
+        {
+            "author": "Ryuukeisyou",
+            "title": "ComfyUI-SyncTalk",
+            "id": "synctalk",
+            "reference": "https://github.com/Ryuukeisyou/ComfyUI-SyncTalk",
+            "files": [
+                "https://github.com/Ryuukeisyou/ComfyUI-SyncTalk"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI implemntation for [a/SyncTalk](https://github.com/ZiqiaoPeng/SyncTalk)"
+        },
+        {
+            "author": "tocubed",
+            "title": "ComfyUI-AudioReactor",
+            "id": "audioreactor",
+            "reference": "https://github.com/tocubed/ComfyUI-AudioReactor",
+            "files": [
+                "https://github.com/tocubed/ComfyUI-AudioReactor"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Shadertoy, Load Audio (from Path), Audio Frame Transform (Shadertoy), Audio Frame Transform (Beats)"
+        },
+        {
+            "author": "ntc-ai",
+            "title": "ComfyUI - Apply LoRA Stacker with DARE",
+            "reference": "https://github.com/ntc-ai/ComfyUI-DARE-LoRA-Merge",
+            "files": [
+                "https://github.com/ntc-ai/ComfyUI-DARE-LoRA-Merge"
+            ],
+            "install_type": "git-clone",
+            "description": "An experiment about combining multiple LoRAs with [a/DARE](https://arxiv.org/pdf/2311.03099.pdf)"
+        },
+        {
+            "author": "wwwins",
+            "title": "ComfyUI-Simple-Aspect-Ratio",
+            "reference": "https://github.com/wwwins/ComfyUI-Simple-Aspect-Ratio",
+            "files": [
+                "https://github.com/wwwins/ComfyUI-Simple-Aspect-Ratio"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SimpleAspectRatio"
+        },
+        {
+            "author": "ownimage",
+            "title": "ComfyUI-ownimage",
+            "reference": "https://github.com/ownimage/ComfyUI-ownimage",
+            "files": [
+                "https://github.com/ownimage/ComfyUI-ownimage"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Caching Image Loader."
+        },
+        {
+            "author": "Ryuukeisyou",
+            "title": "comfyui_io_helpers",
+            "reference": "https://github.com/Ryuukeisyou/comfyui_io_helpers",
+            "files": [
+                "https://github.com/Ryuukeisyou/comfyui_io_helpers"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ImageLoadFromBase64, ImageLoadByPath, ImageLoadAsMaskByPath, ImageSaveToPath, ImageSaveAsBase64, VHSFileNamesToStrings(IOHelpers)."
+        },
+        {
+            "author": "flowtyone",
+            "title": "ComfyUI-Flowty-LDSR",
+            "reference": "https://github.com/flowtyone/ComfyUI-Flowty-LDSR",
+            "files": [
+                "https://github.com/flowtyone/ComfyUI-Flowty-LDSR"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a custom node that lets you take advantage of Latent Diffusion Super Resolution (LDSR) models inside ComfyUI."
+        },
+        {
+            "author": "flowtyone",
+            "title": "ComfyUI-Flowty-TripoSR",
+            "reference": "https://github.com/flowtyone/ComfyUI-Flowty-TripoSR",
+            "files": [
+                "https://github.com/flowtyone/ComfyUI-Flowty-TripoSR"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a custom node that lets you use TripoSR right from ComfyUI.\n[a/TripoSR](https://github.com/VAST-AI-Research/TripoSR) is a state-of-the-art open-source model for fast feedforward 3D reconstruction from a single image, collaboratively developed by Tripo AI and Stability AI. (TL;DR it creates a 3d model from an image.)"
+        },
+        {
+            "author": "flowtyone",
+            "title": "ComfyUI-Flowty-CRM",
+            "reference": "https://github.com/flowtyone/ComfyUI-Flowty-CRM",
+            "files": [
+                "https://github.com/flowtyone/ComfyUI-Flowty-CRM"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a custom node that lets you use Convolutional Reconstruction Models right from ComfyUI.\n[a/CRM](https://ml.cs.tsinghua.edu.cn/~zhengyi/CRM/) is a high-fidelity feed-forward single image-to-3D generative model."
+        },
+        {
+            "author": "massao000",
+            "title": "ComfyUI_aspect_ratios",
+            "reference": "https://github.com/massao000/ComfyUI_aspect_ratios",
+            "files": [
+                "https://github.com/massao000/ComfyUI_aspect_ratios"
+            ],
+            "install_type": "git-clone",
+            "description": "Aspect ratio selector for ComfyUI based on [a/sd-webui-ar](https://github.com/alemelis/sd-webui-ar?tab=readme-ov-file)."
+        },
+        {
+            "author": "SiliconFlow",
+            "title": "OneDiff Nodes",
+            "id": "onddiff",
+            "reference": "https://github.com/siliconflow/onediff_comfy_nodes",
+            "files": [
+                "https://github.com/siliconflow/onediff_comfy_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/Onediff](https://github.com/siliconflow/onediff) ComfyUI Nodes."
+        },
+        {
+            "author": "hinablue",
+            "title": "ComfyUI 3D Pose Editor",
+            "id": "3d-pose-editor",
+            "reference": "https://github.com/hinablue/ComfyUI_3dPoseEditor",
+            "files": [
+                "https://github.com/hinablue/ComfyUI_3dPoseEditor"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:3D Pose Editor"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-CameraCtrl-Wrapper",
+            "id": "cameractrl-wrapper",
+            "reference": "https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-CameraCtrl-Wrapper"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-EasyAnimate",
+            "id": "easyanimate",
+            "reference": "https://github.com/chaojie/ComfyUI-EasyAnimate",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-EasyAnimate"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-EasyAnimate"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI_StreamingT2V",
+            "id": "streamingt2v",
+            "reference": "https://github.com/chaojie/ComfyUI_StreamingT2V",
+            "files": [
+                "https://github.com/chaojie/ComfyUI_StreamingT2V"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI_StreamingT2V"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Open-Sora-Plan",
+            "id": "opensora-plan",
+            "reference": "https://github.com/chaojie/ComfyUI-Open-Sora-Plan",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Open-Sora-Plan"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI node for [a/Open-Sora-Plan](https://github.com/PKU-YuanGroup/Open-Sora-Plan)"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-MuseTalk",
+            "id": "musetalk-chaojie",
+            "reference": "https://github.com/chaojie/ComfyUI-MuseTalk",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MuseTalk"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI MuseTalk"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-MuseV",
+            "id": "musev",
+            "reference": "https://github.com/chaojie/ComfyUI-MuseV",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MuseV"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI MuseV"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-AniPortrait",
+            "id": "aniportrait",
+            "reference": "https://github.com/chaojie/ComfyUI-AniPortrait",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-AniPortrait"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI [a/AniPortrait](https://github.com/Zejun-Yang/AniPortrait)"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Img2Img-Turbo",
+            "id": "img2img-turbo",
+            "reference": "https://github.com/chaojie/ComfyUI-Img2Img-Turbo",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Img2Img-Turbo"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Img2Img-Turbo"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Champ",
+            "id": "champ",
+            "reference": "https://github.com/chaojie/ComfyUI-Champ",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Champ"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Champ"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Open-Sora",
+            "id": "opensora",
+            "reference": "https://github.com/chaojie/ComfyUI-Open-Sora",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Open-Sora"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Open Sora\nNOTE:only supports Linux now"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Trajectory",
+            "id": "trajectory",
+            "reference": "https://github.com/chaojie/ComfyUI-Trajectory",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Trajectory"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Trajectory"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-dust3r",
+            "id": "dust3r",
+            "reference": "https://github.com/chaojie/ComfyUI-dust3r",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-dust3r"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI dust3r"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Gemma",
+            "id": "gamma",
+            "reference": "https://github.com/chaojie/ComfyUI-Gemma",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Gemma"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Gemma"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-DynamiCrafter",
+            "id": "dynamicrafter-chaojie",
+            "reference": "https://github.com/chaojie/ComfyUI-DynamiCrafter",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-DynamiCrafter"
+            ],
+            "install_type": "git-clone",
+            "description": "Better Dynamic, Higher Resolution, and Stronger Coherence!"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Panda3d",
+            "id": "panda3d",
+            "reference": "https://github.com/chaojie/ComfyUI-Panda3d",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Panda3d"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI 3d engine"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Pymunk",
+            "id": "pymunk",
+            "reference": "https://github.com/chaojie/ComfyUI-Pymunk",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Pymunk"
+            ],
+            "install_type": "git-clone",
+            "description": "Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-MotionCtrl",
+            "id": "motionctrl",
+            "reference": "https://github.com/chaojie/ComfyUI-MotionCtrl",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MotionCtrl"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Download the weights of MotionCtrl [a/motionctrl.pth](https://huggingface.co/TencentARC/MotionCtrl/blob/main/motionctrl.pth) and put it to ComfyUI/models/checkpoints"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Motion-Vector-Extractor",
+            "id": "motion-vector-extractor",
+            "reference": "https://github.com/chaojie/ComfyUI-Motion-Vector-Extractor",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Motion-Vector-Extractor"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: that we currently provide the package only for x86-64 linux, such as Ubuntu or Debian, and Python 3.8, 3.9, and 3.10."
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-MotionCtrl-SVD",
+            "id": "motionctrl-svd",
+            "reference": "https://github.com/chaojie/ComfyUI-MotionCtrl-SVD",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-MotionCtrl-SVD"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Download the weights of MotionCtrl-SVD [a/motionctrl_svd.ckpt](https://huggingface.co/TencentARC/MotionCtrl/blob/main/motionctrl_svd.ckpt) and put it to ComfyUI/models/checkpoints"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-DragAnything",
+            "id": "draganything",
+            "reference": "https://github.com/chaojie/ComfyUI-DragAnything",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-DragAnything"
+            ],
+            "install_type": "git-clone",
+            "description": "DragAnything"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-DragNUWA",
+            "id": "dragnuwa",
+            "reference": "https://github.com/chaojie/ComfyUI-DragNUWA",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-DragNUWA"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Download the weights of DragNUWA [a/drag_nuwa_svd.pth](https://drive.google.com/file/d/1Z4JOley0SJCb35kFF4PCc6N6P1ftfX4i/view) and put it to ComfyUI/models/checkpoints/drag_nuwa_svd.pth\n[w/Due to changes in the torch package and versions of many other packages, it may disrupt your installation environment.]"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Moore-AnimateAnyone",
+            "id": "moore-animateanyone",
+            "reference": "https://github.com/chaojie/ComfyUI-Moore-AnimateAnyone",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Moore-AnimateAnyone"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Run python tools/download_weights.py first to download weights automatically"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-I2VGEN-XL",
+            "id": "i2vgen-xl",
+            "reference": "https://github.com/chaojie/ComfyUI-I2VGEN-XL",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-I2VGEN-XL"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an implementation of [a/i2vgen-xl](https://github.com/ali-vilab/i2vgen-xl)"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-LightGlue",
+            "id": "lightglue",
+            "reference": "https://github.com/chaojie/ComfyUI-LightGlue",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-LightGlue"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an ComfyUI implementation of LightGlue to generate motion brush"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-RAFT",
+            "id": "raft",
+            "reference": "https://github.com/chaojie/ComfyUI-RAFT",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-RAFT"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an ComfyUI implementation of RAFT to generate motion brush"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-LaVIT",
+            "id": "lavit",
+            "reference": "https://github.com/chaojie/ComfyUI-LaVIT",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-LaVIT"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:VideoLaVITLoader, VideoLaVITT2V, VideoLaVITI2V, VideoLaVITI2VLong, VideoLaVITT2VLong, VideoLaVITI2I"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-SimDA",
+            "id": "simda",
+            "reference": "https://github.com/chaojie/ComfyUI-SimDA",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-SimDA"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SimDATrain, SimDALoader, SimDARun, VHS_FILENAMES_STRING_SimDA"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-Video-Editing-X-Attention",
+            "id": "video-editing-x-attention",
+            "reference": "https://github.com/chaojie/ComfyUI-Video-Editing-X-Attention",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-Video-Editing-X-Attention"
+            ],
+            "install_type": "git-clone",
+            "description": "Investigating the Effectiveness of Cross Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models"
+        },
+        {
+            "author": "alexopus",
+            "title": "ComfyUI Image Saver",
+            "id": "comfyui-image-saver",
+            "reference": "https://github.com/alexopus/ComfyUI-Image-Saver",
+            "files": [
+                "https://github.com/alexopus/ComfyUI-Image-Saver"
+            ],
+            "install_type": "git-clone",
+            "description": "Allows you to save images with their generation metadata compatible with Civitai. Works with png, jpeg and webp. Stores LoRAs, models and embeddings hashes for resource recognition."
+        },
+        {
+            "author": "kft334",
+            "title": "Knodes",
+            "id": "knodes",
+            "reference": "https://github.com/kft334/Knodes",
+            "files": [
+                "https://github.com/kft334/Knodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Image(s) To Websocket (Base64), Load Image (Base64),Load Images (Base64)"
+        },
+        {
+            "author": "MrForExample",
+            "title": "ComfyUI-3D-Pack",
+            "id": "3dpack",
+            "reference": "https://github.com/MrForExample/ComfyUI-3D-Pack",
+            "files": [
+                "https://github.com/MrForExample/ComfyUI-3D-Pack"
+            ],
+            "nodename_pattern": "^\\[Comfy3D\\]",
+            "install_type": "git-clone",
+            "description": "An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)\nNOTE: Pre-built python wheels can be download from [a/https://github.com/remsky/ComfyUI3D-Assorted-Wheels](https://github.com/remsky/ComfyUI3D-Assorted-Wheels)"
+        },
+        {
+            "author": "Mr.ForExample",
+            "title": "ComfyUI-AnimateAnyone-Evolved",
+            "id": "animateanyone-evolved",
+            "reference": "https://github.com/MrForExample/ComfyUI-AnimateAnyone-Evolved",
+            "files": [
+                "https://github.com/MrForExample/ComfyUI-AnimateAnyone-Evolved"
+            ],
+            "nodename_pattern": "^\\[AnimateAnyone\\]",
+            "install_type": "git-clone",
+            "description": "Improved AnimateAnyone implementation that allows you to use the opse image sequence and reference image to generate stylized video.\nThe current goal of this project is to achieve desired pose2video result with 1+FPS on GPUs that are equal to or better than RTX 3080!🚀\n[w/The torch environment may be compromised due to version issues as some torch-related packages are being reinstalled.]"
+        },
+        {
+            "author": "Hangover3832",
+            "title": "ComfyUI-Hangover-Nodes",
+            "reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Nodes",
+            "files": [
+                "https://github.com/Hangover3832/ComfyUI-Hangover-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: MS kosmos-2 Interrogator, Save Image w/o Metadata, Image Scale Bounding Box. An implementation of Microsoft [a/kosmos-2](https://huggingface.co/microsoft/kosmos-2-patch14-224) image to text transformer."
+        },
+        {
+            "author": "Hangover3832",
+            "title": "ComfyUI-Hangover-Moondream",
+            "reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Moondream",
+            "files": [
+                "https://github.com/Hangover3832/ComfyUI-Hangover-Moondream"
+            ],
+            "install_type": "git-clone",
+            "description": "Moondream is a lightweight multimodal large language model.\n[w/WARN:Additional python code will be downloaded from huggingface and executed. You have to trust this creator if you want to use this node!]"
+        },
+        {
+            "author": "Hangover3832",
+            "title": "Recognize Anything Model (RAM) for ComfyUI",
+            "reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything",
+            "files": [
+                "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an image recognition node for ComfyUI based on the RAM++ model from [a/xinyu1205](https://huggingface.co/xinyu1205).\nThis node outputs a string of tags with all the recognized objects and elements in the image in English or Chinese language.\nFor image tagging and captioning."
+        },
+        {
+            "author": "tzwm",
+            "title": "ComfyUI Profiler",
+            "reference": "https://github.com/tzwm/comfyui-profiler",
+            "files": [
+                "https://github.com/tzwm/comfyui-profiler"
+            ],
+            "install_type": "git-clone",
+            "description": "Calculate the execution time of all nodes."
+        },
+        {
+            "author": "Daniel Lewis",
+            "title": "ComfyUI-Llama",
+            "reference": "https://github.com/daniel-lewis-ab/ComfyUI-Llama",
+            "files": [
+                "https://github.com/daniel-lewis-ab/ComfyUI-Llama"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a set of nodes to interact with llama-cpp-python"
+        },
+        {
+            "author": "Daniel Lewis",
+            "title": "ComfyUI-TTS",
+            "reference": "https://github.com/daniel-lewis-ab/ComfyUI-TTS",
+            "files": [
+                "https://github.com/daniel-lewis-ab/ComfyUI-TTS"
+            ],
+            "install_type": "git-clone",
+            "description": "Text To Speech (TTS) for ComfyUI"
+        },
+        {
+            "author": "djbielejeski",
+            "title": "a-person-mask-generator",
+            "reference": "https://github.com/djbielejeski/a-person-mask-generator",
+            "files": [
+                "https://github.com/djbielejeski/a-person-mask-generator"
+            ],
+            "install_type": "git-clone",
+            "description": "Extension for Automatic1111 and ComfyUI to automatically create masks for Background/Hair/Body/Face/Clothes in Img2Img"
+        },
+        {
+            "author": "smagnetize",
+            "title": "kb-comfyui-nodes",
+            "reference": "https://github.com/smagnetize/kb-comfyui-nodes",
+            "files": [
+                "https://github.com/smagnetize/kb-comfyui-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SingleImageDataUrlLoader"
+        },
+        {
+            "author": "ginlov",
+            "title": "segment_to_mask_comfyui",
+            "reference": "https://github.com/ginlov/segment_to_mask_comfyui",
+            "files": [
+                "https://github.com/ginlov/segment_to_mask_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SegToMask"
+        },
+        {
+            "author": "glowcone",
+            "title": "Load Image From Base64 URI",
+            "reference": "https://github.com/glowcone/comfyui-base64-to-image",
+            "files": [
+                "https://github.com/glowcone/comfyui-base64-to-image"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: LoadImageFromBase64. Loads an image and its transparency mask from a base64-encoded data URI for easy API connection."
+        },
+        {
+            "author": "glowcone",
+            "title": "String Converter",
+            "reference": "https://github.com/glowcone/comfyui-string-converter",
+            "files": [
+                "https://github.com/glowcone/comfyui-string-converter"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Convert String To Int, Convert String To Float"
+        },
+        {
+            "author": "AInseven",
+            "title": "ComfyUI-fastblend",
+            "reference": "https://github.com/AInseven/ComfyUI-fastblend",
+            "files": [
+                "https://github.com/AInseven/ComfyUI-fastblend"
+            ],
+            "install_type": "git-clone",
+            "description": "fastblend for comfyui, and other nodes that I write for video2video. rebatch image, my openpose"
+        },
+        {
+            "author": "HebelHuber",
+            "title": "comfyui-enhanced-save-node",
+            "reference": "https://github.com/HebelHuber/comfyui-enhanced-save-node",
+            "files": [
+                "https://github.com/HebelHuber/comfyui-enhanced-save-node"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Enhanced Save Node"
+        },
+        {
+            "author": "LarryJane491",
+            "title": "Lora-Training-in-Comfy",
+            "reference": "https://github.com/LarryJane491/Lora-Training-in-Comfy",
+            "files": [
+                "https://github.com/LarryJane491/Lora-Training-in-Comfy"
+            ],
+            "install_type": "git-clone",
+            "description": "If you see this message, your ComfyUI-Manager is outdated.\nRecent channel provides only the list of the latest nodes. If you want to find the complete node list, please go to the Default channel.\nMaking LoRA has never been easier!"
+        },
+        {
+            "author": "LarryJane491",
+            "title": "Image-Captioning-in-ComfyUI",
+            "reference": "https://github.com/LarryJane491/Image-Captioning-in-ComfyUI",
+            "files": [
+                "https://github.com/LarryJane491/Image-Captioning-in-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "The LoRA Caption custom nodes, just like their name suggests, allow you to caption images so they are ready for LoRA training."
+        },
+        {
+            "author": "Layer-norm",
+            "title": "Comfyui lama remover",
+            "reference": "https://github.com/Layer-norm/comfyui-lama-remover",
+            "files": [
+                "https://github.com/Layer-norm/comfyui-lama-remover"
+            ],
+            "install_type": "git-clone",
+            "description": "A very simple ComfyUI node to remove item with mask."
+        },
+        {
+            "author": "Taremin",
+            "title": "ComfyUI Prompt ExtraNetworks",
+            "reference": "https://github.com/Taremin/comfyui-prompt-extranetworks",
+            "files": [
+                "https://github.com/Taremin/comfyui-prompt-extranetworks"
+            ],
+            "install_type": "git-clone",
+            "description": "Instead of LoraLoader or HypernetworkLoader, it receives a prompt and loads and applies LoRA or HN based on the specifications within the prompt. The main purpose of this custom node is to allow changes without reconnecting the LoraLoader node when the prompt is randomly altered, etc."
+        },
+        {
+            "author": "Taremin",
+            "title": "ComfyUI String Tools",
+            "reference": "https://github.com/Taremin/comfyui-string-tools",
+            "files": [
+                "https://github.com/Taremin/comfyui-string-tools"
+            ],
+            "install_type": "git-clone",
+            "description": " This extension provides the StringToolsConcat node, which concatenates multiple texts, and the StringToolsRandomChoice node, which selects one randomly from multiple texts."
+        },
+        {
+            "author": "Taremin",
+            "title": "WebUI Monaco Prompt",
+            "reference": "https://github.com/Taremin/webui-monaco-prompt",
+            "files": [
+                "https://github.com/Taremin/webui-monaco-prompt"
+            ],
+            "install_type": "git-clone",
+            "description": "Make it possible to edit the prompt using the Monaco Editor, an editor implementation used in VSCode.\nNOTE: This extension supports both ComfyUI and A1111 simultaneously."
+        },
+        {
+            "author": "foxtrot-roger",
+            "title": "RF Nodes",
+            "reference": "https://github.com/foxtrot-roger/comfyui-rf-nodes",
+            "files": [
+                "https://github.com/foxtrot-roger/comfyui-rf-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A bunch of nodes that can be useful to manipulate primitive types (numbers, text, ...) Also some helpers to generate text and timestamps."
+        },
+        {
+            "author": "abyz22",
+            "title": "image_control",
+            "reference": "https://github.com/abyz22/image_control",
+            "files": [
+                "https://github.com/abyz22/image_control"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:abyz22_Padding Image, abyz22_ImpactWildcardEncode, abyz22_setimageinfo, abyz22_SaveImage, abyz22_ImpactWildcardEncode_GetPrompt, abyz22_SetQueue, abyz22_drawmask, abyz22_FirstNonNull, abyz22_blendimages, abyz22_blend_onecolor. Please check workflow in [a/https://github.com/abyz22/image_control](https://github.com/abyz22/image_control)"
+        },
+        {
+            "author": "HAL41",
+            "title": "ComfyUI aichemy nodes",
+            "reference": "https://github.com/HAL41/ComfyUI-aichemy-nodes",
+            "files": [
+                "https://github.com/HAL41/ComfyUI-aichemy-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple node to handle scaling of YOLOv8 segmentation masks"
+        },
+        {
+            "author": "nkchocoai",
+            "title": "ComfyUI-SizeFromPresets",
+            "reference": "https://github.com/nkchocoai/ComfyUI-SizeFromPresets",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-SizeFromPresets"
+            ],
+            "install_type": "git-clone",
+            "description": "Add a node that outputs width and height of the size selected from the preset (.csv)."
+        },
+        {
+            "author": "nkchocoai",
+            "title": "ComfyUI-PromptUtilities",
+            "reference": "https://github.com/nkchocoai/ComfyUI-PromptUtilities",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-PromptUtilities"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Format String, Join String List, Load Preset, Load Preset (Advanced), Const String, Const String (multi line). Add useful nodes related to prompt."
+        },
+        {
+            "author": "nkchocoai",
+            "title": "ComfyUI-TextOnSegs",
+            "reference": "https://github.com/nkchocoai/ComfyUI-TextOnSegs",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-TextOnSegs"
+            ],
+            "install_type": "git-clone",
+            "description": "Add a node for drawing text with CR Draw Text of ComfyUI_Comfyroll_CustomNodes to the area of SEGS detected by Ultralytics Detector of ComfyUI-Impact-Pack."
+        },
+        {
+            "author": "nkchocoai",
+            "title": "ComfyUI-SaveImageWithMetaData",
+            "reference": "https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData"
+            ],
+            "install_type": "git-clone",
+            "description": "Add a node to save images with metadata (PNGInfo) extracted from the input values of each node.\nSince the values are extracted dynamically, values output by various extension nodes can be added to metadata."
+        },
+        {
+            "author": "nkchocoai",
+            "title": "ComfyUI-Dart",
+            "id": "dart",
+            "reference": "https://github.com/nkchocoai/ComfyUI-Dart",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-Dart"
+            ],
+            "install_type": "git-clone",
+            "description": "Add nodes that generates danbooru tags by [a/Dart(Danbooru Tags Transformer)](https://huggingface.co/p1atdev/dart-v1-sft)."
+        },
+        {
+            "author": "JaredTherriault",
+            "title": "ComfyUI-JNodes",
+            "id": "jnodes",
+            "reference": "https://github.com/JaredTherriault/ComfyUI-JNodes",
+            "files": [
+                "https://github.com/JaredTherriault/ComfyUI-JNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "python and web UX improvements for ComfyUI: Lora/Embedding picker, web extension manager (enable/disable any extension without disabling python nodes), control any parameter with text prompts, image and video viewer, metadata viewer, token counter, comments in prompts, font control, and more! \n[w/'ImageFeed.js' from the custom scripts of pythongosssss is not compatible with this suite's ImageDrawer feature. Additionally, 'DynamicPrompts.js' and 'EditAttention.js' from the core, along with 'favicon.js' from the custom scripts of pythongosssss, are incompatible with advanced features of the suite. Please use the JNodes Extension Management setting in Settings > JNodes > Extension Management to disable these extensions by unchecking them to use the full functionality of the suite.]"
+        },
+        {
+            "author": "prozacgod",
+            "title": "ComfyUI Multi-Workspace",
+            "id": "multi-workspace",
+            "reference": "https://github.com/prozacgod/comfyui-pzc-multiworkspace",
+            "files": [
+                "https://github.com/prozacgod/comfyui-pzc-multiworkspace"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple, quick, and dirty implementation of multiple workspaces within ComfyUI."
+        },
+        {
+            "author": "Siberpone",
+            "title": "Lazy Pony Prompter",
+            "id": "lazy-pony-prompter",
+            "reference": "https://github.com/Siberpone/lazy-pony-prompter",
+            "files": [
+                "https://github.com/Siberpone/lazy-pony-prompter"
+            ],
+            "install_type": "git-clone",
+            "description": "A booru API powered prompt generator for A1111 and ComfyUI with flexible tag filtering system and customizable prompt templates."
+        },
+        {
+            "author": "dave-palt",
+            "title": "comfyui_DSP_imagehelpers",
+            "id": "dsp-imagehelpers",
+            "reference": "https://github.com/dave-palt/comfyui_DSP_imagehelpers",
+            "files": [
+                "https://github.com/dave-palt/comfyui_DSP_imagehelpers"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: DSP Image Concat"
+        },
+        {
+            "author": "Inzaniak",
+            "title": "Ranbooru for ComfyUI",
+            "id": "ranbooru",
+            "reference": "https://github.com/Inzaniak/comfyui-ranbooru",
+            "files": [
+                "https://github.com/Inzaniak/comfyui-ranbooru"
+            ],
+            "install_type": "git-clone",
+            "description": "Ranbooru is an extension for the comfyUI. The purpose of this extension is to add a node that gets a random set of tags from boorus pictures. This is mostly being used to help me test my checkpoints on a large variety of"
+        },
+        {
+            "author": "miosp",
+            "title": "ComfyUI-FBCNN",
+            "id": "fbcnn",
+            "reference": "https://github.com/Miosp/ComfyUI-FBCNN",
+            "files": [
+                "https://github.com/Miosp/ComfyUI-FBCNN"
+            ],
+            "install_type": "git-clone",
+            "description": "A node for JPEG de-artifacting using [a/FBCNN](https://github.com/jiaxi-jiang/FBCNN)."
+        },
+        {
+            "author": "JcandZero",
+            "title": "ComfyUI_GLM4Node",
+            "id": "glm4node",
+            "reference": "https://github.com/JcandZero/ComfyUI_GLM4Node",
+            "files": [
+                "https://github.com/JcandZero/ComfyUI_GLM4Node"
+            ],
+            "install_type": "git-clone",
+            "description": "GLM4 Vision Integration"
+        },
+        {
+            "author": "darkpixel",
+            "title": "DarkPrompts",
+            "id": "darkprompts",
+            "reference": "https://github.com/darkpixel/darkprompts",
+            "files": [
+                "https://github.com/darkpixel/darkprompts"
+            ],
+            "install_type": "git-clone",
+            "description": "Slightly better random prompt generation tools that allow combining and picking prompts from both file and text input sources."
+        },
+        {
+            "author": "yytdfc",
+            "title": "Amazon Bedrock nodes for ComfyUI",
+            "id": "bedrock",
+            "reference": "https://github.com/aws-samples/comfyui-llm-node-for-amazon-bedrock",
+            "files": [
+                "https://github.com/aws-samples/comfyui-llm-node-for-amazon-bedrock"
+            ],
+            "pip": ["boto3"],
+            "install_type": "git-clone",
+            "description": "Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies. This repo is the ComfyUI nodes for Bedrock service. You could invoke the foundation model in your ComfyUI pipeline."
+        },
+        {
+            "author": "Qais Malkawi",
+            "title": "ComfyUI-Qais-Helper",
+            "id": "qais-helper",
+            "reference": "https://github.com/QaisMalkawi/ComfyUI-QaisHelper",
+            "files": [
+                "https://github.com/QaisMalkawi/ComfyUI-QaisHelper"
+            ],
+            "install_type": "git-clone",
+            "description": "This Extension adds a few custom QOL nodes that ComfyUI lacks by default."
+        },
+        {
+            "author": "longgui0318",
+            "title": "comfyui-mask-util",
+            "id": "mask-util",
+            "reference": "https://github.com/longgui0318/comfyui-mask-util",
+            "files": [
+                "https://github.com/longgui0318/comfyui-mask-util"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Split Masks, Mask Selection Of Masks, Mask Region Info"
+        },
+        {
+            "author": "longgui0318",
+            "title": "comfyui-llm-assistant",
+            "id": "llm-assistant",
+            "reference": "https://github.com/longgui0318/comfyui-llm-assistant",
+            "files": [
+                "https://github.com/longgui0318/comfyui-llm-assistant"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Generate Stable Diffsution Prompt With LLM, Translate Text With LLM, Chat With LLM"
+        },
+        {
+            "author": "longgui0318",
+            "title": "comfyui-magic-clothing",
+            "id": "magic-clothing",
+            "reference": "https://github.com/longgui0318/comfyui-magic-clothing",
+            "files": [
+                "https://github.com/longgui0318/comfyui-magic-clothing"
+            ],
+            "install_type": "git-clone",
+            "description": "The comfyui supported version of the [a/Magic Clothing](https://github.com/ShineChen1024/MagicClothing) project, not the diffusers version, allows direct integration with modules such as ipadapter.[w/comfyui-oms-diffusion is renamed to comfyui-magic-clothing. You may need to reinstall this.]"
+        },
+        {
+            "author": "longgui0318",
+            "title": "comfyui-common-util",
+            "id": "common-util",
+            "reference": "https://github.com/longgui0318/comfyui-common-util",
+            "files": [
+                "https://github.com/longgui0318/comfyui-common-util"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Init Layer Info Array, Added Layer Info To Array, Layer Info Array Fuse, Layer Image Seleted, Layer Images IPAdapter Advanced, Enhanced Random Light Source"
+        },
+        {
+            "author": "DimaChaichan",
+            "title": "LAizypainter-Exporter-ComfyUI",
+            "reference": "https://github.com/DimaChaichan/LAizypainter-Exporter-ComfyUI",
+            "files": [
+                "https://github.com/DimaChaichan/LAizypainter-Exporter-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "This exporter is a plugin for ComfyUI, which can export tasks for [a/LAizypainter](https://github.com/DimaChaichan/LAizypainter).\nLAizypainter is a Photoshop plugin with which you can send tasks directly to a Stable Diffusion server. More information about a [a/Task](https://github.com/DimaChaichan/LAizypainter?tab=readme-ov-file#task)"
+        },
+        {
+            "author": "adriflex",
+            "title": "ComfyUI_Blender_Texdiff",
+            "id": "blender-texdiff",
+            "reference": "https://github.com/adriflex/ComfyUI_Blender_Texdiff",
+            "files": [
+                "https://github.com/adriflex/ComfyUI_Blender_Texdiff"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Blender viewport color, Blender Viewport depth"
+        },
+        {
+            "author": "Shraknard",
+            "title": "ComfyUI-Remover",
+            "id": "remover",
+            "reference": "https://github.com/Shraknard/ComfyUI-Remover",
+            "files": [
+                "https://github.com/Shraknard/ComfyUI-Remover"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom node for ComfyUI that makes parts of the image transparent (face, background...)"
+        },
+        {
+            "author": "FlyingFireCo",
+            "title": "tiled_ksampler",
+            "reference": "https://github.com/FlyingFireCo/tiled_ksampler",
+            "files": [
+                "https://github.com/FlyingFireCo/tiled_ksampler"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Tiled KSampler, Asymmetric Tiled KSampler, Circular VAEDecode."
+        },
+        {
+            "author": "Nlar",
+            "title": "ComfyUI_CartoonSegmentation",
+            "id": "cartoon-seg",
+            "reference": "https://github.com/Nlar/ComfyUI_CartoonSegmentation",
+            "files": [
+                "https://github.com/Nlar/ComfyUI_CartoonSegmentation"
+            ],
+            "install_type": "git-clone",
+            "description": "Front end ComfyUI nodes for CartoonSegmentation Based upon the work of the CartoonSegmentation repository this project will provide a front end to some of the features."
+        },
+        {
+            "author": "godspede",
+            "title": "ComfyUI Substring",
+            "id": "substring",
+            "reference": "https://github.com/godspede/ComfyUI_Substring",
+            "files": [
+                "https://github.com/godspede/ComfyUI_Substring"
+            ],
+            "install_type": "git-clone",
+            "description": "Just a simple substring node that takes text and length as input, and outputs the first length characters."
+        },
+        {
+            "author": "gokayfem",
+            "title": "VLM_nodes",
+            "id": "vlm",
+            "reference": "https://github.com/gokayfem/ComfyUI_VLM_nodes",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI_VLM_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom Nodes for Vision Language Models (VLM) , Large Language Models (LLM), Image Captioning, Automatic Prompt Generation, Creative and Consistent Prompt Suggestion, Keyword Extraction"
+        },
+        {
+            "author": "gokayfem",
+            "title": "ComfyUI-Dream-Interpreter",
+            "id": "dream-interpreter",
+            "reference": "https://github.com/gokayfem/ComfyUI-Dream-Interpreter",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI-Dream-Interpreter"
+            ],
+            "install_type": "git-clone",
+            "description": "Tell your dream and it interprets it and puts you inside your dream"
+        },
+        {
+            "author": "gokayfem",
+            "title": "ComfyUI-Depth-Visualization",
+            "id": "delpth-visualization",
+            "reference": "https://github.com/gokayfem/ComfyUI-Depth-Visualization",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI-Depth-Visualization"
+            ],
+            "install_type": "git-clone",
+            "description": "Works with any Depth Map and visualizes the applied version it inside ComfyUI"
+        },
+        {
+            "author": "gokayfem",
+            "title": "ComfyUI-Texture-Simple",
+            "id": "texture-simple",
+            "reference": "https://github.com/gokayfem/ComfyUI-Texture-Simple",
+            "files": [
+                "https://github.com/gokayfem/ComfyUI-Texture-Simple"
+            ],
+            "install_type": "git-clone",
+            "description": "Visualize your textures inside ComfyUI"
+        },
+        {
+            "author": "Hiero207",
+            "title": "Hiero-Nodes",
+            "id": "hiero",
+            "reference": "https://github.com/Hiero207/ComfyUI-Hiero-Nodes",
+            "files": [
+                "https://github.com/Hiero207/ComfyUI-Hiero-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Post to Discord w/ Webhook"
+        },
+        {
+            "author": "azure-dragon-ai",
+            "title": "ComfyUI-ClipScore-Nodes",
+            "id": "clipscore",
+            "reference": "https://github.com/azure-dragon-ai/ComfyUI-ClipScore-Nodes",
+            "files": [
+                "https://github.com/azure-dragon-ai/ComfyUI-ClipScore-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ImageScore, Loader, Image Processor, Real Image Processor, Fake Image Processor, Text Processor. ComfyUI Nodes for ClipScore"
+        },
+        {
+            "author": "yuvraj108c",
+            "title": "ComfyUI Whisper",
+            "id": "whisper",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Whisper",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Whisper"
+            ],
+            "install_type": "git-clone",
+            "description": "Transcribe audio and add subtitles to videos using Whisper in ComfyUI"
+        },
+        {
+            "author": "yuvraj108c",
+            "title": "ComfyUI-Pronodes",
+            "id": "pronodes",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Pronodes",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Pronodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of nice utility nodes for ComfyUI"
+        },
+        {
+            "author": "yuvraj108c",
+            "title": "ComfyUI-Vsgan",
+            "id": "vsgan",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Vsgan",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Vsgan"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Upscale Video Tensorrt"
+        },
+        {
+            "author": "yuvraj108c",
+            "title": "ComfyUI Depth Anything TensorRT",
+            "id": "depth-anything-tensorrt",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides a ComfyUI Custom Node implementation of the [a/Depth-Anything-Tensorrt](https://github.com/spacewalk01/depth-anything-tensorrt) in Python for ultra fast depth map generation"
+        },
+        {
+            "author": "yuvraj108c",
+            "title": "ComfyUI PiperTTS",
+            "id": "pipertts",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-PiperTTS",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-PiperTTS"
+            ],
+            "install_type": "git-clone",
+            "description": "Convert Text-to-Speech inside ComfyUI using [a/Piper](https://github.com/rhasspy/piper)"
+        },
+        {
+            "author": "yuvraj108c",
+            "title": "ComfyUI Upscaler TensorRT",
+            "id": "upscaler-tensorrt",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt"
+            ],
+            "install_type": "git-clone",
+            "description": "This project provides a Tensorrt implementation for fast image upscaling inside ComfyUI (3-4x faster)"
+        },
+        {
+            "author": "yuvraj108c",
+            "title": "ComfyUI YoloNasPose Tensorrt",
+            "id": "yolonaspose-tensorrt",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt"
+            ],
+            "install_type": "git-clone",
+            "description": "This repo provides a ComfyUI Custom Node implementation of [a/YOLO-NAS-POSE](https://github.com/Deci-AI/super-gradients), powered by TensorRT for ultra fast pose estimation. It has been adapted to work with openpose controlnet (experimental)"
+        },
+        {
+            "author": "yuvraj108c",
+            "title": "ComfyUI Dwpose TensorRT",
+            "id": "dwpose-tensorrt",
+            "reference": "https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt",
+            "files": [
+                "https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt"
+            ],
+            "install_type": "git-clone",
+            "description": "This project provides a Tensorrt implementation of Dwpose for ultra fast pose estimation inside ComfyUI"
+        },
+        {
+            "author": "blepping",
+            "title": "ComfyUI-bleh",
+            "id": "bleh",
+            "reference": "https://github.com/blepping/ComfyUI-bleh",
+            "files": [
+                "https://github.com/blepping/ComfyUI-bleh"
+            ],
+            "install_type": "git-clone",
+            "description": "Better TAESD previews, BlehHyperTile."
+        },
+        {
+            "author": "blepping",
+            "title": "ComfyUI-sonar",
+            "id": "sonar",
+            "reference": "https://github.com/blepping/ComfyUI-sonar",
+            "files": [
+                "https://github.com/blepping/ComfyUI-sonar"
+            ],
+            "install_type": "git-clone",
+            "description": "A janky implementation of Sonar sampling (momentum-based sampling) for ComfyUI."
+        },
+        {
+            "author": "blepping",
+            "title": "comfyui_jankhidiffusion",
+            "id": "jank-hidiffusion",
+            "reference": "https://github.com/blepping/comfyui_jankhidiffusion",
+            "files": [
+                "https://github.com/blepping/comfyui_jankhidiffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "Janky implementation of [a/HiDiffusion](https://github.com/megvii-research/HiDiffusion) for ComfyUI. Enables generating at resolutions higher than what the model was trained for. Only supports SD 1.x (maybe 2.x) and SDXL."
+        },
+        {
+            "author": "blepping",
+            "title": "comfyui_overly_complicated_sampling",
+            "reference": "https://github.com/blepping/comfyui_overly_complicated_sampling",
+            "files": [
+                  "https://github.com/blepping/comfyui_overly_complicated_sampling"
+            ],
+            "install_type": "git-clone",
+            "description": "Experimental and mathematically unsound (but fun!) sampling for ComfyUI.\nFeel free create a question in Discussions for usage help: OCS Q&A Discussion[w/Status: In flux, may be useful but likely to change/break workflows frequently. Mainly for advanced users.]"
+        },
+        {
+            "author": "JerryOrbachJr",
+            "title": "Random Size",
+            "reference": "https://github.com/JerryOrbachJr/ComfyUI-RandomSize",
+            "files": [
+                "https://github.com/JerryOrbachJr/ComfyUI-RandomSize"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI custom node that randomly selects a height and width pair from a list in a config file"
+        },
+        {
+            "author": "jamal-alkharrat",
+            "title": "ComfyUI_rotate_image",
+            "reference": "https://github.com/jamal-alkharrat/ComfyUI_rotate_image",
+            "files": [
+                "https://github.com/jamal-alkharrat/ComfyUI_rotate_image"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Custom Node to Rotate Images, Img2Img node."
+        },
+        {
+            "author": "mape",
+            "title": "mape's helpers",
+            "id": "mape-helpers",
+            "reference": "https://github.com/mape/ComfyUI-mape-Helpers",
+            "files": [
+                "https://github.com/mape/ComfyUI-mape-Helpers"
+            ],
+            "install_type": "git-clone",
+            "description": "Multi-monitor image preview, Variable Assigment/Wireless Nodes, Prompt Tweaking, Command Palette, Pinned favourite nodes, Node navigation, Fuzzy search, Node time tracking, Organizing and Error management. For more info visit: [a/https://comfyui.ma.pe/](https://comfyui.ma.pe/)"
+        },
+        {
+            "author": "zhongpei",
+            "title": "ComfyUI for InstructIR",
+            "id": "instructir",
+            "reference": "https://github.com/zhongpei/ComfyUI-InstructIR",
+            "files": [
+                "https://github.com/zhongpei/ComfyUI-InstructIR"
+            ],
+            "install_type": "git-clone",
+            "description": "Enhancing Image Restoration. (ref:[a/InstructIR](https://github.com/mv-lab/InstructIR))"
+        },
+        {
+            "author": "Loewen-Hob",
+            "title": "Rembg Background Removal Node for ComfyUI (Better)",
+            "id": "rembg-better",
+            "reference": "https://github.com/Loewen-Hob/rembg-comfyui-node-better",
+            "files": [
+                "https://github.com/Loewen-Hob/rembg-comfyui-node-better"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node is based on the [a/rembg-comfyui-node](https://github.com/Jcd1230/rembg-comfyui-node) but provides additional functionality to select ONNX models."
+        },
+        {
+            "author": "HaydenReeve",
+            "title": "ComfyUI Better Strings",
+            "id": "better-string",
+            "reference": "https://github.com/HaydenReeve/ComfyUI-Better-Strings",
+            "files": [
+                "https://github.com/HaydenReeve/ComfyUI-Better-Strings"
+            ],
+            "install_type": "git-clone",
+            "description": "Strings should be easy, and simple. This extension aims to provide a set of nodes that make working with strings in ComfyUI a little bit easier."
+        },
+        {
+            "author": "StartHua",
+            "title": "ComfyUI_Seg_VITON",
+            "id": "seg-viton",
+            "reference": "https://github.com/StartHua/ComfyUI_Seg_VITON",
+            "files": [
+                "https://github.com/StartHua/ComfyUI_Seg_VITON"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:segformer_clothes, segformer_agnostic, segformer_remove_bg, stabel_vition. Nodes for model dress up."
+        },
+        {
+            "author": "StartHua",
+            "title": "Comfyui_joytag",
+            "id": "joytag",
+            "reference": "https://github.com/StartHua/Comfyui_joytag",
+            "files": [
+                "https://github.com/StartHua/Comfyui_joytag"
+            ],
+            "install_type": "git-clone",
+            "description": "JoyTag is a state of the art AI vision model for tagging images, with a focus on sex positivity and inclusivity. It uses the Danbooru tagging schema, but works across a wide range of images, from hand drawn to photographic.\nDownload the weight and put it under checkpoints: [a/https://huggingface.co/fancyfeast/joytag/tree/main](https://huggingface.co/fancyfeast/joytag/tree/main)"
+        },
+        {
+            "author": "StartHua",
+            "title": "comfyui_segformer_b2_clothes",
+            "id": "segformer-b2-clothes",
+            "reference": "https://github.com/StartHua/Comfyui_segformer_b2_clothes",
+            "files": [
+                "https://github.com/StartHua/Comfyui_segformer_b2_clothes"
+            ],
+            "install_type": "git-clone",
+            "description": "SegFormer model fine-tuned on ATR dataset for clothes segmentation but can also be used for human segmentation!\nDownload the weight and put it under checkpoints: [a/https://huggingface.co/mattmdjaga/segformer_b2_clothes](https://huggingface.co/mattmdjaga/segformer_b2_clothes)"
+        },
+        {
+            "author": "StartHua",
+            "title": "ComfyUI_OOTDiffusion_CXH",
+            "id": "ootdiffusion-cxh",
+            "reference": "https://github.com/StartHua/ComfyUI_OOTDiffusion_CXH",
+            "files": [
+                "https://github.com/StartHua/ComfyUI_OOTDiffusion_CXH"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Ood_hd_CXH, Ood_hd_CXH. [a/OOTDiffusion](https://github.com/levihsu/OOTDiffusion)"
+        },
+        {
+            "author": "StartHua",
+            "title": "ComfyUI_PCDMs",
+            "id": "pcdms",
+            "reference": "https://github.com/StartHua/ComfyUI_PCDMs",
+            "files": [
+                "https://github.com/StartHua/ComfyUI_PCDMs"
+            ],
+            "install_type": "git-clone",
+            "description": "Original project: [a/link](https://github.com/tencent-ailab/PCDMs)\nBased on testing, the author's original images work very well, but using my own images generally requires some luck!"
+        },
+        {
+            "author": "StartHua",
+            "title": "Comfyui_CXH_joy_caption",
+            "reference": "https://github.com/StartHua/Comfyui_CXH_joy_caption",
+            "files": [
+                "https://github.com/StartHua/Comfyui_CXH_joy_caption"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Joy_caption_load, Joy_caption"
+        },
+        {
+            "author": "StartHua",
+            "title": "Comfyui_CXH_Phi_3.5",
+            "reference": "https://github.com/StartHua/Comfyui_CXH_Phi_3.5",
+            "files": [
+                "https://github.com/StartHua/Comfyui_CXH_Phi_3.5"
+            ],
+            "install_type": "git-clone",
+            "description": "Phi-3.5-vision-instruct fast talk with image !\nFast , Fast ,Fast!\n1.Phi-3.5-vision-instruct"
+        },
+        {
+            "author": "ricklove",
+            "title": "comfyui-ricklove",
+            "id": "ricklove",
+            "reference": "https://github.com/ricklove/comfyui-ricklove",
+            "files": [
+                "https://github.com/ricklove/comfyui-ricklove"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Image Crop and Resize by Mask, Image Uncrop, Image Shadow, Optical Flow (Dip), Warp Image with Flow, Image Threshold (Channels), Finetune Variable, Finetune Analyze, Finetune Analyze Batch, ... Misc ComfyUI nodes by Rick Love"
+        },
+        {
+            "author": "nosiu",
+            "title": "ComfyUI InstantID Faceswapper",
+            "id": "instantid-faceswapper",
+            "reference": "https://github.com/nosiu/comfyui-instantId-faceswap",
+            "files": [
+                "https://github.com/nosiu/comfyui-instantId-faceswap"
+            ],
+            "install_type": "git-clone",
+            "description": "Implementation of [a/faceswap](https://github.com/nosiu/InstantID-faceswap/tree/main) based on [a/InstantID](https://github.com/InstantID/InstantID) for ComfyUI. Allows usage of [a/LCM Lora](https://huggingface.co/latent-consistency/lcm-lora-sdxl) which can produce good results in only a few generation steps.\nNOTE:Works ONLY with SDXL checkpoints."
+        },
+        {
+            "author": "LyazS",
+            "title": "Anime Character Segmentation node for comfyui",
+            "reference": "https://github.com/LyazS/comfyui-anime-seg",
+            "files": [
+                "https://github.com/LyazS/comfyui-anime-seg"
+            ],
+            "install_type": "git-clone",
+            "description": "A Anime Character Segmentation node for comfyui, based on [this hf space](https://huggingface.co/spaces/skytnt/anime-remove-background)."
+        },
+        {
+            "author": "Chan-0312",
+            "title": "ComfyUI-IPAnimate",
+            "reference": "https://github.com/Chan-0312/ComfyUI-IPAnimate",
+            "files": [
+                "https://github.com/Chan-0312/ComfyUI-IPAnimate"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a project that generates videos frame by frame based on IPAdapter+ControlNet. Unlike [a/Steerable-motion](https://github.com/banodoco/Steerable-Motion), we do not rely on AnimateDiff. This decision is primarily due to the fact that the videos generated by AnimateDiff are often blurry. Through frame-by-frame control using IPAdapter+ControlNet, we can produce higher definition and more controllable videos."
+        },
+        {
+            "author": "Chan-0312",
+            "title": "ComfyUI-EasyDeforum",
+            "reference": "https://github.com/Chan-0312/ComfyUI-EasyDeforum",
+            "files": [
+                "https://github.com/Chan-0312/ComfyUI-EasyDeforum"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Easy2DDeforum (Chan)"
+        },
+        {
+            "author": "trumanwong",
+            "title": "ComfyUI-NSFW-Detection",
+            "reference": "https://github.com/trumanwong/ComfyUI-NSFW-Detection",
+            "files": [
+                "https://github.com/trumanwong/ComfyUI-NSFW-Detection"
+            ],
+            "install_type": "git-clone",
+            "description": "An implementation of NSFW Detection for ComfyUI"
+        },
+        {
+            "author": "TemryL",
+            "title": "ComfyS3",
+            "reference": "https://github.com/TemryL/ComfyS3",
+            "files": [
+                "https://github.com/TemryL/ComfyS3"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyS3 seamlessly integrates with [a/Amazon S3](https://aws.amazon.com/en/s3/) in ComfyUI. This open-source project provides custom nodes for effortless loading and saving of images, videos, and checkpoint models directly from S3 buckets within the ComfyUI graph interface."
+        },
+        {
+            "author": "MaraScott",
+            "title": "🐰 MaraScott Nodes",
+            "id": "marascott-nodes",
+            "reference": "https://github.com/MaraScott/ComfyUI_MaraScott_Nodes",
+            "files": [
+                "https://github.com/MaraScott/ComfyUI_MaraScott_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of nodes including a universal bus, an Inpainting By Mask and a large Upscaler/Refiner\n[AnyBus,McInpainty,McBoaty]"
+        },
+        {
+            "author": "yffyhk",
+            "title": "comfyui_auto_danbooru",
+            "reference": "https://github.com/yffyhk/comfyui_auto_danbooru",
+            "files": [
+                "https://github.com/yffyhk/comfyui_auto_danbooru"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Get Danbooru, Tag Encode"
+        },
+        {
+            "author": "dfl",
+            "title": "CLIP with BREAK syntax",
+            "reference": "https://github.com/dfl/comfyui-clip-with-break",
+            "files": [
+                "https://github.com/dfl/comfyui-clip-with-break"
+            ],
+            "install_type": "git-clone",
+            "description": "Clip text encoder with BREAK formatting like A1111 (uses conditioning concat)"
+        },
+        {
+            "author": "dfl",
+            "title": "ComfyUI-TCD-scheduler",
+            "id": "dfl-tcd",
+            "reference": "https://github.com/dfl/comfyui-tcd-scheduler",
+            "files": [
+                "https://github.com/dfl/comfyui-tcd-scheduler"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Custom Sampler nodes that implement Zheng et al.'s Trajectory Consistency Distillation based on [a/https://mhh0318.github.io/tcd](https://mhh0318.github.io/tcd)"
+        },
+        {
+            "author": "antrobot",
+            "title": "antrobots ComfyUI Nodepack",
+            "reference": "https://github.com/antrobot1234/antrobots-comfyUI-nodepack",
+            "files": [
+                "https://github.com/antrobot1234/antrobots-comfyUI-nodepack"
+            ],
+            "install_type": "git-clone",
+            "description": "A small node pack containing various things I felt like ought to be in base comfy-UI. Currently includes Some image handling nodes to help with inpainting, a version of KSampler (advanced) that allows for denoise, and a node that can swap it's inputs. Remember to make an issue if you experience any bugs or errors!"
+        },
+        {
+            "author": "bilal-arikan",
+            "title": "ComfyUI_TextAssets",
+            "reference": "https://github.com/bilal-arikan/ComfyUI_TextAssets",
+            "files": [
+                "https://github.com/bilal-arikan/ComfyUI_TextAssets"
+            ],
+            "install_type": "git-clone",
+            "description": "With this node you can upload text files to input folder from your local computer."
+        },
+        {
+            "author": "kadirnar",
+            "title": "ComfyUI-Transformers",
+            "id": "comfy-transformers",
+            "reference": "https://github.com/kadirnar/ComfyUI-Transformers",
+            "files": [
+                "https://github.com/kadirnar/ComfyUI-Transformers"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Transformers is a cutting-edge project combining the power of computer vision and natural language processing to create intuitive and user-friendly interfaces. Our goal is to make technology more accessible and engaging."
+        },
+        {
+            "author": "kadirnar",
+            "title": "ComfyUI-YOLO",
+            "id": "comfy-yolo",
+            "reference": "https://github.com/kadirnar/ComfyUI-YOLO",
+            "files": [
+                "https://github.com/kadirnar/ComfyUI-YOLO"
+            ],
+            "install_type": "git-clone",
+            "description": "Ultralytics-Powered Object Recognition for ComfyUI"
+        },
+        {
+            "author": "digitaljohn",
+            "title": "ComfyUI-ProPost",
+            "reference": "https://github.com/digitaljohn/comfyui-propost",
+            "files": [
+                "https://github.com/digitaljohn/comfyui-propost"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of custom ComfyUI nodes for performing basic post-processing effects including Film Grain and Vignette. These effects can help to take the edge off AI imagery and make them feel more natural."
+        },
+        {
+            "author": "DonBaronFactory",
+            "title": "ComfyUI-Cre8it-Nodes",
+            "reference": "https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes",
+            "files": [
+                "https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:CRE8IT Serial Prompter, CRE8IT Apply Serial Prompter, CRE8IT Image Sizer. A few simple nodes to facilitate working wiht ComfyUI Workflows"
+        },
+        {
+            "author": "deforum",
+            "title": "Deforum Nodes",
+            "reference": "https://github.com/XmYx/deforum-comfy-nodes",
+            "files": [
+                "https://github.com/XmYx/deforum-comfy-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Official Deforum animation pipeline tools that provide a unique way to create frame-by-frame generative motion art."
+        },
+        {
+            "author": "adbrasi",
+            "title": "ComfyUI-TrashNodes-DownloadHuggingface",
+            "reference": "https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface",
+            "files": [
+                "https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-TrashNodes-DownloadHuggingface is a ComfyUI node designed to facilitate the download of models you have just trained and uploaded to Hugging Face. This node is particularly useful for users who employ Google Colab for training and need to quickly download their models for deployment."
+        },
+        {
+            "author": "mbrostami",
+            "title": "ComfyUI-HF",
+            "reference": "https://github.com/mbrostami/ComfyUI-HF",
+            "files": [
+                "https://github.com/mbrostami/ComfyUI-HF"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Node to work with Hugging Face repositories"
+        },
+        {
+            "author": "Billius-AI",
+            "title": "ComfyUI-Path-Helper",
+            "reference": "https://github.com/Billius-AI/ComfyUI-Path-Helper",
+            "files": [
+                "https://github.com/Billius-AI/ComfyUI-Path-Helper"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Create Project Root, Add Folder, Add Folder Advanced, Add File Name Prefix, Add File Name Prefix Advanced, ShowPath"
+        },
+        {
+            "author": "Franck-Demongin",
+            "title": "NX_PromptStyler",
+            "reference": "https://github.com/Franck-Demongin/NX_PromptStyler",
+            "files": [
+                "https://github.com/Franck-Demongin/NX_PromptStyler"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for ComfyUI to create a prompt based on a list of keywords saved in CSV files."
+        },
+        {
+            "author": "Franck-Demongin",
+            "title": "NX_HuggingFace_Flux",
+            "reference": "https://github.com/Franck-Demongin/NX_HuggingFace_Flux",
+            "files": [
+                "https://github.com/Franck-Demongin/NX_HuggingFace_Flux"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Hugging Face Flux"
+        },
+        {
+            "author": "Franck-Demongin",
+            "title": "NX_Translator",
+            "reference": "https://github.com/Franck-Demongin/NX_Translator",
+            "files": [
+                "https://github.com/Franck-Demongin/NX_Translator"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for translating prompts with Google Translate or DeeplL directly in ComfyUI."
+        },
+        {
+            "author": "xiaoxiaodesha",
+            "title": "hd-nodes-comfyui",
+            "reference": "https://github.com/xiaoxiaodesha/hd_node",
+            "files": [
+                "https://github.com/xiaoxiaodesha/hd_node"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Combine HDMasks, Cover HDMasks, HD FaceIndex, HD SmoothEdge, HD GetMaskArea, HD Image Levels, HD Ultimate SD Upscale"
+        },
+        {
+            "author": "ShmuelRonen",
+            "title": "ComfyUI-SVDResizer",
+            "id": "svdresizer",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI-SVDResizer",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI-SVDResizer"
+            ],
+            "install_type": "git-clone",
+            "description": "SVDResizer is a helper for resizing the source image, according to the sizes enabled in Stable Video Diffusion. The rationale behind the possibility of changing the size of the image in steps between the ranges of 576 and 1024, is the use of the greatest common denominator of these two numbers which is 64. SVD is lenient with resizing that adheres to this rule, so the chance of coherent video that is not the standard size of 576X1024 is greater. It is advisable to keep the value 1024 constant and play with the second size to maintain the stability of the result."
+        },
+        {
+            "author": "ShmuelRonen",
+            "title": "Wav2Lip Node for ComfyUI",
+            "id": "wav2lip",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI_wav2lip",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI_wav2lip"
+            ],
+            "install_type": "git-clone",
+            "description": "The Wav2Lip node is a custom node for ComfyUI that allows you to perform lip-syncing on videos using the Wav2Lip model. It takes an input video and an audio file and generates a lip-synced output video."
+        },
+        {
+            "author": "ShmuelRonen",
+            "title": "ComfyUI_Gemini_Flash",
+            "id": "gemini-flash",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI_Gemini_Flash",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI_Gemini_Flash"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI_Gemini_Flash is a custom node for ComfyUI, integrating the capabilities of the Gemini 1.5 Flash model. This node supports text and vision-based prompts, allowing users to analyze and adapt images to text prompts for text2image tasks."
+        },
+        {
+            "author": "redhottensors",
+            "title": "ComfyUI-Prediction",
+            "id": "prediction",
+            "reference": "https://github.com/redhottensors/ComfyUI-Prediction",
+            "files": [
+                "https://github.com/redhottensors/ComfyUI-Prediction"
+            ],
+            "install_type": "git-clone",
+            "description": "Fully customizable Classifier Free Guidance for ComfyUI."
+        },
+        {
+            "author": "Mamaaaamooooo",
+            "title": "Batch Rembg for ComfyUI",
+            "id": "batch-rembg",
+            "reference": "https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes",
+            "files": [
+                "https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Remove background of plural images."
+        },
+        {
+            "author": "jordoh",
+            "title": "ComfyUI Deepface",
+            "id": "deepface",
+            "reference": "https://github.com/jordoh/ComfyUI-Deepface",
+            "files": [
+                "https://github.com/jordoh/ComfyUI-Deepface"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes wrapping the [a/deepface](https://github.com/serengil/deepface) library."
+        },
+        {
+            "author": "al-swaiti",
+            "title": "ComfyUI-CascadeResolutions",
+            "id": "cascade-resolution",
+            "reference": "https://github.com/al-swaiti/ComfyUI-CascadeResolutions",
+            "files": [
+                "https://github.com/al-swaiti/ComfyUI-CascadeResolutions"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Cascade Resolutions"
+        },
+        {
+            "author": "al-swaiti",
+            "title": "All-IN-ONE-style",
+            "id": "all-in-one-style",
+            "reference": "https://github.com/al-swaiti/All-IN-ONE-style",
+            "files": [
+                "https://github.com/al-swaiti/All-IN-ONE-style"
+            ],
+            "install_type": "git-clone",
+            "description": "all art styles"
+        },
+        {
+            "author": "al-swaiti",
+            "title": "GeminiOllama ComfyUI Extension",
+            "reference": "https://github.com/al-swaiti/ComfyUI-OllamaGemini",
+            "files": [
+                "https://github.com/al-swaiti/ComfyUI-OllamaGemini"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension integrates Google's Gemini API and Ollama into ComfyUI, allowing users to leverage these powerful language models directly within their ComfyUI workflows."
+        },
+        {
+            "author": "mirabarukaso",
+            "title": "ComfyUI_Mira",
+            "id": "mira",
+            "reference": "https://github.com/mirabarukaso/ComfyUI_Mira",
+            "files": [
+                "https://github.com/mirabarukaso/ComfyUI_Mira"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Integer Multiplier, Float Multiplier, Convert Numeral to String, Create Canvas Advanced, Create Canvas, Create PNG Mask, Color Mask to HEX String, Color Mask to INT RGB, Color Masks to List"
+        },
+        {
+            "author": "1038lab",
+            "title": "ComfyUI-GPT2P",
+            "id": "gpt2p",
+            "reference": "https://github.com/1038lab/ComfyUI-GPT2P",
+            "files": [
+                "https://github.com/1038lab/ComfyUI-GPT2P"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Node - Hugging Face repositories GTP2 Prompt"
+        },
+        {
+            "author": "Klinter",
+            "title": "Klinter_nodes",
+            "id": "klinter",
+            "reference": "https://github.com/klinter007/klinter_nodes",
+            "files": [
+                "https://github.com/klinter007/klinter_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Concat_strings atm - celebrating first_node"
+        },
+        {
+            "author": "Ludobico",
+            "title": "ComfyUI-ScenarioPrompt",
+            "id": "scenarioprompt",
+            "reference": "https://github.com/Ludobico/ComfyUI-ScenarioPrompt",
+            "files": [
+                "https://github.com/Ludobico/ComfyUI-ScenarioPrompt"
+            ],
+            "install_type": "git-clone",
+            "description": "ScenarioPrompt is a custom node that helps you understand what you're prompting for each property as you build your prompts"
+        },
+        {
+            "author": "logtd",
+            "title": "InstanceDiffusion Nodes",
+            "id": "instancediffusion",
+            "reference": "https://github.com/logtd/ComfyUI-InstanceDiffusion",
+            "files": [
+                "https://github.com/logtd/ComfyUI-InstanceDiffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of nodes to perform multi-object prompting with InstanceDiffusion"
+        },
+        {
+            "author": "logtd",
+            "title": "Tracking Nodes for Videos",
+            "id": "tracking",
+            "reference": "https://github.com/logtd/ComfyUI-TrackingNodes",
+            "files": [
+                "https://github.com/logtd/ComfyUI-TrackingNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of nodes to track objects through videos using YOLO and other processors."
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-InversedNoise",
+            "id": "inversed-noise",
+            "reference": "https://github.com/logtd/ComfyUI-InversedNoise",
+            "files": [
+                "https://github.com/logtd/ComfyUI-InversedNoise"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Inversed Euler Sampler, Mix Noise with Latent, Combine Latent Noise"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-RefSampling",
+            "id": "refsampling",
+            "reference": "https://github.com/logtd/ComfyUI-RefSampling",
+            "files": [
+                "https://github.com/logtd/ComfyUI-RefSampling"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Apply Ref UNet, Ref Sampler, Ref Sampler Custom"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-FLATTEN",
+            "id": "flatten",
+            "reference": "https://github.com/logtd/ComfyUI-FLATTEN",
+            "files": [
+                "https://github.com/logtd/ComfyUI-FLATTEN"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use [a/FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing](https://github.com/yrcong/flatten)."
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-RAVE Attention",
+            "id": "rave-attn",
+            "reference": "https://github.com/logtd/ComfyUI-RAVE_ATTN",
+            "files": [
+                "https://github.com/logtd/ComfyUI-RAVE_ATTN"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use RAVE attention as a temporal attention mechanism.\nThis differs from other implementations in that it does not concatenate the images together, but within the UNet's Self-Attention mechanism performs the RAVE technique. By not altering the images/latents throughout the UNet, this method does not affect other temporal techniques, style mechanisms, or other UNet modifications.\nFor example, it can be combined with AnimateDiff, ModelScope/ZeroScope, or FLATTEN."
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-RefUNet",
+            "id": "refunet",
+            "reference": "https://github.com/logtd/ComfyUI-RefUNet",
+            "files": [
+                "https://github.com/logtd/ComfyUI-RefUNet"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of nodes to use Reference UNets"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-SEGAttention",
+            "id": "segattention",
+            "reference": "https://github.com/logtd/ComfyUI-SEGAttention",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SEGAttention"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to use [a/Smoothed Energy Guidance](https://github.com/SusungHong/SEG-SDXL) for ComfyUI."
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-SSREncoder",
+            "id": "ssrencoder",
+            "reference": "https://github.com/logtd/ComfyUI-SSREncoder",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SSREncoder"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Nodes to use [a/SSR Encoder:Encoding Selective Subject Representation for Subject-Driven Generation](https://github.com/Xiaojiu-z/SSR_Encoder)."
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-SeeCoder",
+            "id": "seecoder-logtd",
+            "reference": "https://github.com/logtd/ComfyUI-SeeCoder",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SeeCoder"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use the SeeCoder from [a/Prompt-Free-Diffusion](https://github.com/SHI-Labs/Prompt-Free-Diffusion)"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-4DHumans",
+            "id": "comfyui-4dhumans",
+            "reference": "https://github.com/logtd/ComfyUI-4DHumans",
+            "files": [
+                "https://github.com/logtd/ComfyUI-4DHumans"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use [a/4D-Humans](ComfyUI nodes to use 4D-Humans)"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-ReNoise",
+            "reference": "https://github.com/logtd/ComfyUI-ReNoise",
+            "files": [
+                "https://github.com/logtd/ComfyUI-ReNoise"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use ReNoise"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-MotionThiefExperiment",
+            "reference": "https://github.com/logtd/ComfyUI-MotionThiefExperiment",
+            "files": [
+                "https://github.com/logtd/ComfyUI-MotionThiefExperiment"
+            ],
+            "install_type": "git-clone",
+            "description": "experimental node pack to test using reference videos for their motion."
+        },
+        {
+            "author": "Big-Idea-Technology",
+            "title": "ComfyUI-Book-Tools Nodes for ComfyUI",
+            "id": "booktool",
+            "reference": "https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools",
+            "files": [
+                "https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Book-Tools is a set o new nodes for ComfyUI that allows users to easily add text overlays to images within their ComfyUI projects. This Node leverages Python Imaging Library (PIL) and PyTorch to dynamically render text on images, supporting a wide range of customization options including font size, alignment, color, and padding. Loop with any parameters (*), prompt batch schedule with prompt selector, end queue for automatic ending current queue."
+        },
+        {
+            "author": "Big Idea Technology",
+            "title": "LLM Node for ComfyUI",
+            "reference": "https://github.com/Big-Idea-Technology/ComfyUI_LLM_Node",
+            "files": [
+                "https://github.com/Big-Idea-Technology/ComfyUI_LLM_Node"
+            ],
+            "install_type": "git-clone",
+            "description": "The LLM_Node enhances ComfyUI by integrating advanced language model capabilities, enabling a wide range of NLP tasks such as text generation, content summarization, question answering, and more. This flexibility is powered by various transformer model architectures from the transformers library, allowing for the deployment of models like T5, GPT-2, and others based on your project's needs."
+        },
+        {
+            "author": "Guillaume-Fgt",
+            "title": "ComfyUI_StableCascadeLatentRatio",
+            "id": "cascade-latent-ratio",
+            "reference": "https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio",
+            "files": [
+                "https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node to create empty latents for Stable Cascade.\nfeatures: width and height incrementation of 64 by default, possibility to lock the aspect ratio, switch width/height at execution"
+        },
+        {
+            "author": "AuroBit",
+            "title": "ComfyUI OOTDiffusion",
+            "id": "ootdiffusion",
+            "reference": "https://github.com/AuroBit/ComfyUI-OOTDiffusion",
+            "files": [
+                "https://github.com/AuroBit/ComfyUI-OOTDiffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI custom node that simply integrates the [a/OOTDiffusion](https://github.com/levihsu/OOTDiffusion) functionality."
+        },
+        {
+            "author": "AuroBit",
+            "title": "ComfyUI-AnimateAnyone-reproduction",
+            "id": "animateanyone-reproduction",
+            "reference": "https://github.com/AuroBit/ComfyUI-AnimateAnyone-reproduction",
+            "files": [
+                "https://github.com/AuroBit/ComfyUI-AnimateAnyone-reproduction"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI custom node that simply integrates the [a/animate-anyone-reproduction](https://github.com/bendanzzc/AnimateAnyone-reproduction) functionality."
+        },
+        {
+            "author": "czcz1024",
+            "title": "Face Compare",
+            "id": "facecompare",
+            "reference": "https://github.com/czcz1024/Comfyui-FaceCompare",
+            "files": [
+                "https://github.com/czcz1024/Comfyui-FaceCompare"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:FaceCompare"
+        },
+        {
+            "author": "TheBill2001",
+            "title": "comfyui-upscale-by-model",
+            "reference": "https://github.com/TheBill2001/comfyui-upscale-by-model",
+            "files": [
+                "https://github.com/TheBill2001/comfyui-upscale-by-model"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node allow upscaling an image by a factor using a model."
+        },
+        {
+            "author": "TheBill2001",
+            "title": "Save Images with Captions",
+            "reference": "https://github.com/TheBill2001/ComfyUI-Save-Image-Caption",
+            "files": [
+                "https://github.com/TheBill2001/ComfyUI-Save-Image-Caption"
+            ],
+            "install_type": "git-clone",
+            "description": "Provide two custom nodes to load and save images with captions as separate files."
+        },
+        {
+            "author": "leoleelxh",
+            "title": "ComfyUI-LLMs",
+            "reference": "https://github.com/leoleelxh/ComfyUI-LLMs",
+            "files": [
+                "https://github.com/leoleelxh/ComfyUI-LLMs"
+            ],
+            "install_type": "git-clone",
+            "description": "A minimalist node that calls LLMs, combined with one API, can call all language models, including local models."
+        },
+        {
+            "author": "hughescr",
+            "title": "OpenPose Keypoint Extractor",
+            "reference": "https://github.com/hughescr/ComfyUI-OpenPose-Keypoint-Extractor",
+            "files": [
+                "https://github.com/hughescr/ComfyUI-OpenPose-Keypoint-Extractor"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a single node which can take the POSE_KEYPOINT output from the OpenPose extractor node, parse it, and return x,y,width,height bounding boxes around any elements of the OpenPose skeleton"
+        },
+        {
+            "author": "jkrauss82",
+            "title": "ULTools for ComfyUI",
+            "reference": "https://github.com/jkrauss82/ultools-comfyui",
+            "files": [
+                "https://github.com/jkrauss82/ultools-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SaveImgAdv, CLIPTextEncodeWithStats. Collection of tools supporting txt2img generation in ComfyUI and other tasks."
+        },
+        {
+            "author": "hiforce",
+            "title": "Comfyui HiFORCE Plugin",
+            "reference": "https://github.com/hiforce/comfyui-hiforce-plugin",
+            "files": [
+                "https://github.com/hiforce/comfyui-hiforce-plugin"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes pack provided by [a/HiFORCE](https://www.hiforce.net/) for ComfyUI. This custom node helps to conveniently enhance images through Sampler, Upscaler, Mask, and more.\nNOTE:You should install [a/ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack). Many optimizations are built upon the foundation of ComfyUI-Impact-Pack."
+        },
+        {
+            "author": "kuschanow",
+            "title": "Advanced Latent Control",
+            "reference": "https://github.com/RomanKuschanow/ComfyUI-Advanced-Latent-Control",
+            "files": [
+                "https://github.com/RomanKuschanow/ComfyUI-Advanced-Latent-Control"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node helps to transform latent in different ways."
+        },
+        {
+            "author": "guill",
+            "title": "abracadabra-comfyui",
+            "reference": "https://github.com/guill/abracadabra-comfyui",
+            "files": [
+                "https://github.com/guill/abracadabra-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Abracadabra Summary, Abracadabra"
+        },
+        {
+            "author": "cerspense",
+            "title": "cspnodes",
+            "reference": "https://github.com/cerspense/ComfyUI_cspnodes",
+            "files": [
+                "https://github.com/cerspense/ComfyUI_cspnodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image Dir Iterator, Modelscopet2v, Modelscopev2v, Vid Dir Iterator, Image Dir Iterator, Text File Line Iterator, Remap Range, Split Image Channels, Resize By Image, Increment Every N."
+        },
+        {
+            "author": "qwixiwp",
+            "title": "queuetools",
+            "reference": "https://github.com/qwixiwp/queuetools",
+            "files": [
+                "https://github.com/qwixiwp/queuetools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:load images (queue tools). tools made for queueing in comfyUI"
+        },
+        {
+            "author": "Chan-0312",
+            "title": "ComfyUI-Prompt-Preview",
+            "reference": "https://github.com/Chan-0312/ComfyUI-Prompt-Preview",
+            "files": [
+                "https://github.com/Chan-0312/ComfyUI-Prompt-Preview"
+            ],
+            "install_type": "git-clone",
+            "description": "Welcome to ComfyUI Prompt Preview, where you can visualize the styles from [sdxl_prompt_styler](https://github.com/twri/sdxl_prompt_styler)."
+        },
+        {
+            "author": "munkyfoot",
+            "title": "ComfyUI-TextOverlay",
+            "id": "textoverlay-munkyfoot",
+            "reference": "https://github.com/Munkyfoot/ComfyUI-TextOverlay",
+            "files": [
+                "https://github.com/Munkyfoot/ComfyUI-TextOverlay"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides a node that allows you to overlay text on an image or a batch of images with support for custom fonts and styles."
+        },
+        {
+            "author": "holchan",
+            "title": "ComfyUI-ModelDownloader",
+            "reference": "https://github.com/holchan/ComfyUI-ModelDownloader",
+            "files": [
+                "https://github.com/holchan/ComfyUI-ModelDownloader"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI node to download models(Checkpoints and LoRA) from external links and act as an output standalone node."
+        },
+        {
+            "author": "CC-BryanOttho",
+            "title": "ComfyUI_API_Manager",
+            "reference": "https://github.com/CC-BryanOttho/ComfyUI_API_Manager",
+            "files": [
+                "https://github.com/CC-BryanOttho/ComfyUI_API_Manager"
+            ],
+            "install_type": "git-clone",
+            "description": "This package provides three custom nodes designed to streamline workflows involving API requests, dynamic text manipulation based on API responses, and image posting to APIs. These nodes are particularly useful for automating interactions with APIs, enhancing text-based workflows with dynamic data, and facilitating image uploads."
+        },
+        {
+            "author": "maracman",
+            "title": "ComfyUI-SubjectStyle-CSV",
+            "reference": "https://github.com/maracman/ComfyUI-SubjectStyle-CSV",
+            "files": [
+                "https://github.com/maracman/ComfyUI-SubjectStyle-CSV"
+            ],
+            "install_type": "git-clone",
+            "description": "Store a CSV of prompts where the style can change for each subject. The CSV node initialises with the column (style) and row (subject) names for easy interpretability."
+        },
+        {
+            "author": "438443467",
+            "title": "ComfyUI-GPT4V-Image-Captioner",
+            "reference": "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner",
+            "files": [
+                "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:GPT4V-Image-Captioner"
+        },
+        {
+            "author": "uetuluk",
+            "title": "comfyui-webcam-node",
+            "id": "webcam",
+            "reference": "https://github.com/uetuluk/comfyui-webcam-node",
+            "files": [
+                "https://github.com/uetuluk/comfyui-webcam-node"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Webcam Capture"
+        },
+        {
+            "author": "huchenlei",
+            "title": "ComfyUI-layerdiffuse (layerdiffusion)",
+            "id": "layerdiffuse",
+            "reference": "https://github.com/huchenlei/ComfyUI-layerdiffuse",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI-layerdiffuse"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI implementation of [a/LayerDiffusion](https://github.com/layerdiffusion/LayerDiffusion)."
+        },
+        {
+            "author": "huchenlei",
+            "title": "ComfyUI_DanTagGen",
+            "id": "dantangen",
+            "reference": "https://github.com/huchenlei/ComfyUI_DanTagGen",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI_DanTagGen"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI node of [a/Kohaku's DanTagGen Demo](https://huggingface.co/KBlueLeaf/DanTagGen?not-for-all-audiences=true)."
+        },
+        {
+            "author": "huchenlei",
+            "title": "ComfyUI-openpose-editor",
+            "reference": "https://github.com/huchenlei/ComfyUI-openpose-editor",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI-openpose-editor"
+            ],
+            "install_type": "git-clone",
+            "description": "Port of [a/https://github.com/huchenlei/sd-webui-openpose-editor](https://github.com/huchenlei/sd-webui-openpose-editor) in ComfyUI"
+        },
+        {
+            "author": "huchenlei",
+            "title": "ComfyUI-IC-Light-Native",
+            "id": "ic-light-native",
+            "reference": "https://github.com/huchenlei/ComfyUI-IC-Light-Native",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI-IC-Light-Native"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI native implementation of [a/IC-Light](https://github.com/lllyasviel/IC-Light)."
+        },
+        {
+            "author": "huchenlei",
+            "title": "ComfyUI DenseDiffusion",
+            "id": "densediffusion",
+            "reference": "https://github.com/huchenlei/ComfyUI_densediffusion",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI_densediffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/DenseDiffusion](https://github.com/naver-ai/DenseDiffusion) custom node for ComfyUI."
+        },
+        {
+            "author": "huchenlei",
+            "title": "ComfyUI_omost",
+            "id": "omost",
+            "reference": "https://github.com/huchenlei/ComfyUI_omost",
+            "files": [
+                "https://github.com/huchenlei/ComfyUI_omost"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI implementation of [a/Omost](https://github.com/lllyasviel/Omost), and everything about regional prompt.\nNOTE: You need to install ComfyUI_densediffusion to use this node."
+        },
+        {
+            "author": "nathannlu",
+            "title": "ComfyUI Pets",
+            "id": "pets",
+            "reference": "https://github.com/nathannlu/ComfyUI-Pets",
+            "files": [
+                "https://github.com/nathannlu/ComfyUI-Pets"
+            ],
+            "install_type": "git-clone",
+            "description": "Play with your pet while your workflow generates!"
+        },
+        {
+            "author": "nathannlu",
+            "title": "Comfy Cloud",
+            "id": "cloud",
+            "reference": "https://github.com/nathannlu/ComfyUI-Cloud",
+            "files": [
+                "https://github.com/nathannlu/ComfyUI-Cloud"
+            ],
+            "install_type": "git-clone",
+            "description": "Run your workflow using cloud GPU resources, from your local ComfyUI.\nNOTE:After you first install the plugin...\nThe first time you click 'generate', you will be prompted to log into your account.Subsequent generations after the first is faster (the first run it takes a while to process your workflow). Once those two steps have been completed, you will be able to seamlessly generate your workflow on the cloud!"
+        },
+        {
+            "author": "11dogzi",
+            "title": "Comfyui-ergouzi-Nodes",
+            "id": "ergouzi-nodes",
+            "reference": "https://github.com/11dogzi/Comfyui-ergouzi-Nodes",
+            "files": [
+                "https://github.com/11dogzi/Comfyui-ergouzi-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a node group kit that covers multiple nodes such as local refinement, tag management, random prompt words, text processing, image processing, mask processing, etc"
+        },
+        {
+            "author": "11dogzi",
+            "title": "Comfyui-ergouzi-samplers",
+            "id": "ergouzi-samplers",
+            "reference": "https://github.com/11dogzi/Comfyui-ergouzi-samplers",
+            "files": [
+                "https://github.com/11dogzi/Comfyui-ergouzi-samplers"
+            ],
+            "install_type": "git-clone",
+            "description": "Partial redraw sampler and variant seed sampler"
+        },
+        {
+            "author": "11dogzi",
+            "title": "Comfyui-ergouzi-kaiguan",
+            "id": "ergouzi-kaiguan",
+            "reference": "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan",
+            "files": [
+                "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan"
+            ],
+            "install_type": "git-clone",
+            "description": "Group switching control, one click control to ignore and disable multiple groups, as well as wired switch combination nodes, allowing for arbitrary switching of annotation names"
+        },
+        {
+            "author": "11dogzi",
+            "title": "ComfUI-EGAdapterMadAssistant",
+            "id": "madassistant",
+            "reference": "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant",
+            "files": [
+                "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a hierarchical auxiliary project of the IPAdapter project, which uses a slider to quickly control the hierarchical weights and add fully random and semi random modes"
+        },
+        {
+            "author": "BXYMartin",
+            "title": "ComfyUI-InstantIDUtils",
+            "id": "instantid-utils",
+            "reference": "https://github.com/BXYMartin/ComfyUI-InstantIDUtils",
+            "files": [
+                "https://github.com/BXYMartin/ComfyUI-InstantIDUtils"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Multi-ControlNet Converter, List of Images, Convert PIL to Tensor (NHWC), Convert Tensor (NHWC) to (NCHW), Convert Tensor (NHWC) to PIL"
+        },
+        {
+            "author": "cdb-boop",
+            "title": "comfyui-image-round",
+            "id": "image-round",
+            "reference": "https://github.com/cdb-boop/comfyui-image-round",
+            "files": [
+                "https://github.com/cdb-boop/comfyui-image-round"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple node to round an input image up (pad) or down (crop) to the nearest integer multiple. Padding offset from left/bottom and the padding value are adjustable."
+        },
+        {
+            "author": "cdb-boop",
+            "title": "ComfyUI Bringing Old Photos Back to Life",
+            "reference": "https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life",
+            "files": [
+                "https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life"
+            ],
+            "install_type": "git-clone",
+            "description": "Enhance old or low-quality images in ComfyUI. Optional features include automatic scratch removal and face enhancement. Based on Microsoft's Bringing-Old-Photos-Back-to-Life. Requires installing models, so see instructions here: https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life."
+        },
+        {
+            "author": "atmaranto",
+            "title": "SaveAsScript",
+            "id": "saveasscript",
+            "reference": "https://github.com/atmaranto/ComfyUI-SaveAsScript",
+            "files": [
+                "https://github.com/atmaranto/ComfyUI-SaveAsScript"
+            ],
+            "install_type": "git-clone",
+            "description": "A version of ComfyUI-to-Python-Extension that works as a custom node. Adds a button in the UI that saves the current workflow as a Python file, a CLI for converting workflows, and slightly better custom node support."
+        },
+        {
+            "author": "meshmesh-io",
+            "title": "mm-comfyui-megamask",
+            "id": "megamask",
+            "reference": "https://github.com/meshmesh-io/mm-comfyui-megamask",
+            "files": [
+                "https://github.com/meshmesh-io/mm-comfyui-megamask"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ColorListMaskToImage, FlattenAndCombineMaskImages"
+        },
+        {
+            "author": "meshmesh-io",
+            "title": "mm-comfyui-loopback",
+            "id": "mm-loopback",
+            "reference": "https://github.com/meshmesh-io/mm-comfyui-loopback",
+            "files": [
+                "https://github.com/meshmesh-io/mm-comfyui-loopback"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Loop, LoopStart, LoopEnd, LoopStart_SEGIMAGE, LoopEnd_SEGIMAGE"
+        },
+        {
+            "author": "meshmesh-io",
+            "title": "ComfyUI-MeshMesh",
+            "id": "meshmesh",
+            "reference": "https://github.com/meshmesh-io/ComfyUI-MeshMesh",
+            "files": [
+                "https://github.com/meshmesh-io/ComfyUI-MeshMesh"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Masks to Colored Masks, Color Picker"
+        },
+        {
+            "author": "CozyMantis",
+            "title": "Cozy Human Parser",
+            "id": "humanparser",
+            "reference": "https://github.com/cozymantis/human-parser-comfyui-node",
+            "files": [
+                "https://github.com/cozymantis/human-parser-comfyui-node"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI node to automatically extract masks for body regions and clothing/fashion items. Made with 💚 by the CozyMantis squad."
+        },
+        {
+            "author": "CozyMantis",
+            "title": "Cozy Reference Pose Generator",
+            "id": "posegen",
+            "reference": "https://github.com/cozymantis/pose-generator-comfyui-node",
+            "files": [
+                "https://github.com/cozymantis/pose-generator-comfyui-node"
+            ],
+            "install_type": "git-clone",
+            "description": "Generate OpenPose face/body reference poses in ComfyUI with ease. Made with 💚 by the CozyMantis squad."
+        },
+        {
+            "author": "CozyMantis",
+            "title": "Cozy Utils",
+            "id": "cozy-utils",
+            "reference": "https://github.com/cozymantis/cozy-utils-comfyui-nodes",
+            "files": [
+                "https://github.com/cozymantis/cozy-utils-comfyui-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Various cozy nodes, made with 💚 by the CozyMantis squad."
+        },
+        {
+            "author": "vivax3794",
+            "title": "ComfyUI-Vivax-Nodes",
+            "reference": "https://github.com/vivax3794/ComfyUI-Vivax-Nodes",
+            "files": [
+                "https://github.com/vivax3794/ComfyUI-Vivax-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Inspect, Any String, Model From URL"
+        },
+        {
+            "author": "vivax3794",
+            "title": "ComfyUI-Sub-Nodes",
+            "reference": "https://github.com/vivax3794/ComfyUI-Sub-Nodes",
+            "files": [
+                "https://github.com/vivax3794/ComfyUI-Sub-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Creating subgraph and Calling subgraphs."
+        },
+        {
+            "author": "victorchall",
+            "title": "Comfyui Webcam capture node",
+            "reference": "https://github.com/victorchall/comfyui_webcamcapture",
+            "files": [
+                "https://github.com/victorchall/comfyui_webcamcapture"
+            ],
+            "install_type": "git-clone",
+            "description": "This node captures images one at a time from your webcam when you click generate.\nThis is particular useful for img2img or controlnet workflows.\nNOTE:This node will take over your webcam, so if you have another program using it, you may need to close that program first. Likewise, you may need to close Comfyui or close the workflow to release the webcam."
+        },
+        {
+            "author": "ljleb",
+            "title": "Mecha Merge Node Pack",
+            "id": "mecha",
+            "reference": "https://github.com/ljleb/comfy-mecha",
+            "files": [
+                "https://github.com/ljleb/comfy-mecha"
+            ],
+            "install_type": "git-clone",
+            "description": "model merging nodes powered by sd-mecha, a memory efficient state dict recipe merger."
+        },
+        {
+            "author": "diSty",
+            "title": "ComfyUI Frame Maker",
+            "id": "frame-maker",
+            "reference": "https://github.com/diStyApps/ComfyUI_FrameMaker",
+            "files": [
+                "https://github.com/diStyApps/ComfyUI_FrameMaker"
+            ],
+            "install_type": "git-clone",
+            "description": "This node creates a sequence of frames by moving and scaling a subject image over a background image."
+        },
+        {
+            "author": "hackkhai",
+            "title": "ComfyUI-Image-Matting",
+            "id": "image-matting",
+            "reference": "https://github.com/hackkhai/ComfyUI-Image-Matting",
+            "files": [
+                "https://github.com/hackkhai/ComfyUI-Image-Matting"
+            ],
+            "install_type": "git-clone",
+            "description": "This node improves the quality of the image mask. more suitable for image composite matting"
+        },
+        {
+            "author": "Pos13",
+            "title": "Cyclist",
+            "id": "cyclist",
+            "reference": "https://github.com/Pos13/comfyui-cyclist",
+            "files": [
+                "https://github.com/Pos13/comfyui-cyclist"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides tools to iterate generation results between runs. In general, it's for cycles."
+        },
+        {
+            "author": "ExponentialML",
+            "title": "ComfyUI_ModelScopeT2V",
+            "id": "modelscopet2v",
+            "reference": "https://github.com/ExponentialML/ComfyUI_ModelScopeT2V",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_ModelScopeT2V"
+            ],
+            "install_type": "git-clone",
+            "description": "Allows native usage of ModelScope based Text To Video Models in ComfyUI"
+        },
+        {
+            "author": "ExponentialML",
+            "title": "ComfyUI - Native DynamiCrafter",
+            "id": "dynamicrafter",
+            "reference": "https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter"
+            ],
+            "install_type": "git-clone",
+            "description": "DynamiCrafter that works natively with ComfyUI's nodes, optimizations, ControlNet, and more."
+        },
+        {
+            "author": "ExponentialML",
+            "title": "ComfyUI_VisualStylePrompting",
+            "id": "visual-style-prompting",
+            "reference": "https://github.com/ExponentialML/ComfyUI_VisualStylePrompting",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_VisualStylePrompting"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Version of '[a/Visual Style Prompting with Swapping Self-Attention](https://github.com/naver-ai/Visual-Style-Prompting)'"
+        },
+        {
+            "author": "angeloshredder",
+            "title": "StableCascadeResizer",
+            "reference": "https://github.com/angeloshredder/StableCascadeResizer",
+            "files": [
+                "https://github.com/angeloshredder/StableCascadeResizer"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Cascade_Resizer"
+        },
+        {
+            "author": "stavsap",
+            "title": "ComfyUI Ollama",
+            "id": "ollama",
+            "reference": "https://github.com/stavsap/comfyui-ollama",
+            "files": [
+                "https://github.com/stavsap/comfyui-ollama"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom ComfyUI Nodes for interacting with [a/Ollama](https://ollama.com/) using the [a/ollama python client](https://github.com/ollama/ollama-python).\nIntegrate the power of LLMs into CompfyUI workflows easily."
+        },
+        {
+            "author": "dchatel",
+            "title": "comfyui_davcha",
+            "reference": "https://github.com/dchatel/comfyui_davcha",
+            "files": [
+                "https://github.com/dchatel/comfyui_davcha"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SmartMask, ResizeCropFit, Percent Padding, SoftErosion, StringScheduleHelper, DStack, DavchaConditioningConcat, DavchaModelMergeSimple, DavchaCLIPMergeSimple, DavchaModelMergeSD1, DavchaModelMergeSDXL, ConditioningCompress... Some personal QoL and experimental nodes"
+        },
+        {
+            "author": "dchatel",
+            "title": "comfyui_facetools",
+            "id": "facetools",
+            "reference": "https://github.com/dchatel/comfyui_facetools",
+            "files": [
+                "https://github.com/dchatel/comfyui_facetools"
+            ],
+            "install_type": "git-clone",
+            "description": "These custom nodes provide a rotation aware face extraction, paste back, and various face related masking options."
+        },
+        {
+            "author": "prodogape",
+            "title": "Comfyui-Minio",
+            "id": "minio",
+            "reference": "https://github.com/prodogape/ComfyUI-Minio",
+            "files": [
+                "https://github.com/prodogape/ComfyUI-Minio"
+            ],
+            "install_type": "git-clone",
+            "description": "This plugin is mainly based on Minio, implementing the ability to read images from Minio, save images, facilitating expansion and connection across multiple machines."
+        },
+        {
+            "author": "prodogape",
+            "title": "ComfyUI-EasyOCR",
+            "id": "easyocr",
+            "reference": "https://github.com/prodogape/ComfyUI-EasyOCR",
+            "files": [
+                "https://github.com/prodogape/ComfyUI-EasyOCR"
+            ],
+            "install_type": "git-clone",
+            "description": "This node is primarily based on Easy-OCR to implement OCR text recognition functionality."
+        },
+        {
+            "author": "prodogape",
+            "title": "ComfyUI-OmDet",
+            "id": "omdet",
+            "reference": "https://github.com/prodogape/ComfyUI-OmDet",
+            "files": [
+                "https://github.com/prodogape/ComfyUI-OmDet"
+            ],
+            "install_type": "git-clone",
+            "description": "This node is mainly based on [a/OmDet](https://github.com/om-ai-lab/OmDet) for object detection, and it outputs related images, masks, and Labelme JSON information."
+        },
+        {
+            "author": "prodogape",
+            "title": "Comfyui-Yolov8-JSON",
+            "reference": "https://github.com/prodogape/Comfyui-Yolov8-JSON",
+            "files": [
+                "https://github.com/prodogape/Comfyui-Yolov8-JSON"
+            ],
+            "install_type": "git-clone",
+            "description": "This node is mainly based on the Yolov8 model for object detection, and it outputs related images, masks, and JSON information.[w/Repository url is changed. Please remove previous one and reinstall.]"
+        },
+        {
+            "author": "kingzcheung",
+            "title": "ComfyUI_kkTranslator_nodes",
+            "id": "kktranslator",
+            "reference": "https://github.com/AIGCTeam/ComfyUI_kkTranslator_nodes",
+            "files": [
+                "https://github.com/AIGCTeam/ComfyUI_kkTranslator_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "These nodes are mainly used to translate prompt words from other languages into English. PromptTranslateToText implements prompt word translation based on Helsinki NLP translation model.It doesn't require internet connection。"
+        },
+        {
+            "author": "vsevolod-oparin",
+            "title": "Kandinsky 2.2 ComfyUI Plugin",
+            "id": "kandinsky",
+            "reference": "https://github.com/vsevolod-oparin/comfyui-kandinsky22",
+            "files": [
+                "https://github.com/vsevolod-oparin/comfyui-kandinsky22"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes provide an options to combine prior and decoder models of Kandinsky 2.2."
+        },
+        {
+            "author": "Xyem",
+            "title": "Xycuno Oobabooga",
+            "id": "xycuno-oobabooga",
+            "reference": "https://github.com/Xyem/Xycuno-Oobabooga",
+            "files": [
+                "https://github.com/Xyem/Xycuno-Oobabooga"
+            ],
+            "install_type": "git-clone",
+            "description": "Xycuno Oobabooga provides custom nodes for ComfyUI, for sending requests to an [a/Oobabooga](https://github.com/oobabooga/text-generation-webui) instance to assist in creating prompt texts."
+        },
+        {
+            "author": "shi3z",
+            "title": "ComfyUI_Memeplex_DALLE",
+            "id": "memeplex-dalle",
+            "reference": "https://github.com/shi3z/ComfyUI_Memeplex_DALLE",
+            "files": [
+                "https://github.com/shi3z/ComfyUI_Memeplex_DALLE"
+            ],
+            "install_type": "git-clone",
+            "description": "You can use memeplex and DALL-E thru ComfyUI. You need API keys."
+        },
+        {
+            "author": "if-ai",
+            "title": "ComfyUI-IF_AI_tools",
+            "id": "if-ai-tools",
+            "reference": "https://github.com/if-ai/ComfyUI-IF_AI_tools",
+            "files": [
+                "https://github.com/if-ai/ComfyUI-IF_AI_tools"
+            ],
+            "install_type": "git-clone",
+            "description": "Various AI tools to use in Comfy UI. Starting with VL and prompt making tools using Ollma as backend will evolve as I find time."
+        },
+        {
+            "author": "if-ai",
+            "title": "ComfyUI-IF_AI_WishperSpeechNode",
+            "id": "if-ai-whisper-speech",
+            "reference": "https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode",
+            "files": [
+                "https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository hosts a Text-to-Speech (TTS) application that leverages Whisper Speech for voice synthesis, allowing users to train a voice model on-the-fly. It is built on ComfyUI and supports rapid training and inference processes."
+        },
+        {
+            "author": "if-ai",
+            "title": "ComfyUI-IF_AI_HFDownloaderNode",
+            "id": "if-ai-hfdownloader",
+            "reference": "https://github.com/if-ai/ComfyUI-IF_AI_HFDownloaderNode",
+            "files": [
+                "https://github.com/if-ai/ComfyUI-IF_AI_HFDownloaderNode"
+            ],
+            "install_type": "git-clone",
+            "description": "Talking avatars Heads for the IF_AI tools integrates dreamtalk in ComfyUI"
+        },
+        {
+            "author": "dmMaze",
+            "title": "Sketch2Manga",
+            "id": "sketch2manga",
+            "reference": "https://github.com/dmMaze/sketch2manga",
+            "files": [
+                "https://github.com/dmMaze/sketch2manga"
+            ],
+            "install_type": "git-clone",
+            "description": "Apply screentone to line drawings or colored illustrations with diffusion models."
+        },
+        {
+            "author": "olduvai-jp",
+            "title": "ComfyUI-HfLoader",
+            "id": "hfloader",
+            "reference": "https://github.com/olduvai-jp/ComfyUI-HfLoader",
+            "files": [
+                "https://github.com/olduvai-jp/ComfyUI-HfLoader"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Lora Loader From HF"
+        },
+        {
+            "author": "AiMiDi",
+            "title": "ComfyUI-Aimidi-nodes",
+            "id": "aimidi-nodes",
+            "reference": "https://github.com/AiMiDi/ComfyUI-Aimidi-nodes",
+            "files": [
+                "https://github.com/AiMiDi/ComfyUI-Aimidi-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Merge Tag, Clear Tag, Add Tag, Load Images Pair Batch, Save Images Pair"
+        },
+        {
+            "author": "ForeignGods",
+            "title": "ComfyUI-Mana-Nodes",
+            "id": "mana-nodes",
+            "reference": "https://github.com/ForeignGods/ComfyUI-Mana-Nodes",
+            "files": [
+                "https://github.com/ForeignGods/ComfyUI-Mana-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Font Animation, Speech Recognition, Caption Generator, TTS"
+        },
+        {
+            "author": "Cornea Valentin",
+            "title": "ControlNet Auxiliar",
+            "id": "controlnet-aux-valentin",
+            "reference": "https://github.com/madtunebk/ComfyUI-ControlnetAux",
+            "files": [
+                "https://github.com/madtunebk/ComfyUI-ControlnetAux"
+            ],
+            "install_type": "git-clone",
+            "description": "This ComfyUI custom node, named ControlNet Auxiliar, is designed to provide auxiliary functionalities for image processing tasks. It is particularly useful for various image manipulation and enhancement operations. The node is integrated with functionalities for converting images between different formats and applying various image processing techniques."
+        },
+        {
+            "author": "MarkoCa1",
+            "title": "ComfyUI-Text",
+            "reference": "https://github.com/MarkoCa1/ComfyUI-Text",
+            "files": [
+                "https://github.com/MarkoCa1/ComfyUI-Text"
+            ],
+            "install_type": "git-clone",
+            "description": "Text."
+        },
+        {
+            "author": "MarkoCa1",
+            "title": "ComfyUI_Segment_Mask",
+            "id": "seg-mask",
+            "reference": "https://github.com/MarkoCa1/ComfyUI_Segment_Mask",
+            "files": [
+                "https://github.com/MarkoCa1/ComfyUI_Segment_Mask"
+            ],
+            "install_type": "git-clone",
+            "description": "Mask cutout based on Segment Anything."
+        },
+        {
+            "author": "Shadetail",
+            "title": "Eagleshadow Custom Nodes",
+            "id": "eagleshadow",
+            "reference": "https://github.com/Shadetail/ComfyUI_Eagleshadow",
+            "files": [
+                "https://github.com/Shadetail/ComfyUI_Eagleshadow"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes for ComfyUI by Eagleshadow."
+        },
+        {
+            "author": "ArdeniusAI",
+            "title": "CPlus_Ardenius ComfyUI Control Box",
+            "id": "controlbox",
+            "reference": "https://github.com/ArdeniusAI/CPlus_Ardenius",
+            "files": [
+                "https://github.com/ArdeniusAI/CPlus_Ardenius"
+            ],
+            "install_type": "git-clone",
+            "description": "1 node to have control over your workflow."
+        },
+        {
+            "author": "Jannchie",
+            "title": "ComfyUI-J",
+            "reference": "https://github.com/Jannchie/ComfyUI-J",
+            "files": [
+                "https://github.com/Jannchie/ComfyUI-J"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a completely different set of nodes than Comfy's own KSampler series. This set of nodes is based on Diffusers, which makes it easier to import models, apply prompts with weights, inpaint, reference only, controlnet, etc."
+        },
+        {
+            "author": "daxcay",
+            "title": "ComfyUI-JDCN",
+            "id": "jdcn",
+            "reference": "https://github.com/daxcay/ComfyUI-JDCN",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-JDCN"
+            ],
+            "install_type": "git-clone",
+            "description": "Jerry Davos Custom Nodes for Saving Latents in Directory (BatchLatentSave) , Importing Latent from directory (BatchLatentLoadFromDir) , List to string, string to list, get any file list from directory which give filepath, filename, move any files from any directory to any other directory, VHS Video combine file mover, rebatch list of strings, batch image load from any dir, load image batch from any directory and other custom nodes."
+        },
+        {
+            "author": "daxcay",
+            "title": "ComfyUI-DataSet",
+            "reference": "https://github.com/daxcay/ComfyUI-DataSet",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-DataSet"
+            ],
+            "install_type": "git-clone",
+            "description": "Data research, preparation, and manipulation nodes for model trainers and artists."
+        },
+        {
+            "author": "daxcay",
+            "title": "ComfyUI-Nexus",
+            "reference": "https://github.com/daxcay/ComfyUI-Nexus",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-Nexus"
+            ],
+            "install_type": "git-clone",
+            "description": "Node to enable seamless multiuser workflow collaboration, run on local and remote comfy servers."
+        },
+        {
+            "author": "daxcay",
+            "title": "ComfyUI-NODEJS",
+            "reference": "https://github.com/daxcay/ComfyUI-NODEJS",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-NODEJS"
+            ],
+            "install_type": "git-clone",
+            "description": "This node allows the execution of Node.js application within ComfyUI by leveraging the ComfyUI-NODEJS, which starts alongside ComfyUI and facilitates the installation of Node.js. The integration enables Python subprocesses to execute Node.js scripts."
+        },
+        {
+            "author": "Seedsa",
+            "title": "ComfyUI Fooocus Nodes",
+            "id": "fooocus-nodes",
+            "reference": "https://github.com/Seedsa/Fooocus_Nodes",
+            "files": [
+                "https://github.com/Seedsa/Fooocus_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides image generation features based on Fooocus."
+        },
+        {
+            "author": "zhangp365",
+            "title": "zhangp365/ComfyUI-utils-nodes",
+            "reference": "https://github.com/zhangp365/ComfyUI-utils-nodes",
+            "files": [
+                "https://github.com/zhangp365/ComfyUI-utils-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:LoadImageWithSwitch, ImageBatchOneOrMore, ModifyTextGender, ImageCompositeMaskedWithSwitch, ColorCorrectOfUtils, SplitMask, MaskFastGrow, CheckpointLoaderSimpleWithSwitch, ImageResizeTo8x, MatchImageRatioToPreset etc."
+        },
+        {
+            "author": "ratulrafsan",
+            "title": "Comfyui-SAL-VTON",
+            "id": "sal-vton",
+            "reference": "https://github.com/ratulrafsan/Comfyui-SAL-VTON",
+            "files": [
+                "https://github.com/ratulrafsan/Comfyui-SAL-VTON"
+            ],
+            "install_type": "git-clone",
+            "description": "Dressup your models!\nThis is my quick implementation of the SAL-VTON node for ComfyUI.\nBased on the paper [a/Keyu Y. Tingwei G. et al. (2023). Linking Garment with Person via Semantically Associated Landmakrs for Virtual Try-On](https://openaccess.thecvf.com/content/CVPR2023/papers/Yan_Linking_Garment_With_Person_via_Semantically_Associated_Landmarks_for_Virtual_CVPR_2023_paper.pdf)"
+        },
+        {
+            "author": "Nevysha",
+            "title": "ComfyUI-nevysha-top-menu",
+            "id": "nevysha-top-menu",
+            "reference": "https://github.com/Nevysha/ComfyUI-nevysha-top-menu",
+            "files": [
+                "https://github.com/Nevysha/ComfyUI-nevysha-top-menu"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple sidebar tweak to force fixe the ComfyUI menu to the top of the screen. Reaaally quick and dirty. May break with some ComfyUI setup."
+        },
+        {
+            "author": "alisson-anjos",
+            "title": "ComfyUI-Ollama-Describer",
+            "id": "ollama-describer",
+            "reference": "https://github.com/alisson-anjos/ComfyUI-Ollama-Describer",
+            "files": [
+                "https://github.com/alisson-anjos/ComfyUI-Ollama-Describer"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an extension for ComfyUI that makes it possible to use some LLM models provided by Ollama, such as Gemma, Llava (multimodal), Llama2, Llama3 or Mistral. Speaking specifically of the LLaVa - Large Language and Vision Assistant model, although trained on a relatively small dataset, it demonstrates exceptional capabilities in understanding images and answering questions about them. This model presents similar behaviors to multimodal models such as GPT-4, even when presented with invisible images and instructions."
+        },
+        {
+            "author": "chaosaiart",
+            "title": "Chaosaiart-Nodes",
+            "id": "chaosaiart",
+            "reference": "https://github.com/chaosaiart/Chaosaiart-Nodes",
+            "files": [
+                "https://github.com/chaosaiart/Chaosaiart-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "LowVRAM Animation : txt2video - img2video - video2video , Frame by Frame, compatible with LowVRAM GPUs\nIncluded : Prompt Switch, Checkpoint Switch, Cache, Number Count by Frame, Ksampler txt2img & img2img ..."
+        },
+        {
+            "author": "viperyl",
+            "title": "ComfyUI-BiRefNet",
+            "id": "comfyui-birefnet",
+            "reference": "https://github.com/viperyl/ComfyUI-BiRefNet",
+            "files": [
+                "https://github.com/viperyl/ComfyUI-BiRefNet"
+            ],
+            "install_type": "git-clone",
+            "description": "Bilateral Reference Network achieves SOTA result in multi Salient Object Segmentation dataset, this repo pack BiRefNet as ComfyUI nodes, and make this SOTA model easier use for everyone."
+        },
+        {
+            "author": "viperyl",
+            "title": "ComfyUI-RGT",
+            "id": "rgt",
+            "reference": "https://github.com/viperyl/ComfyUI-RGT",
+            "pip": ["loguru"],
+            "files": [
+                "https://github.com/viperyl/ComfyUI-RGT"
+            ],
+            "install_type": "git-clone",
+            "description": "This repo cast Recursive Generalization Transformer for Image Super-Resolution to ComfyUI, the original [a/paper link](https://arxiv.org/abs/2303.06373) and [a/github link](https://github.com/zhengchen1999/RGT)"
+        },
+        {
+            "author": "SuperBeastsAI",
+            "title": "ComfyUI-SuperBeasts",
+            "id": "superbeasts",
+            "reference": "https://github.com/SuperBeastsAI/ComfyUI-SuperBeasts",
+            "files": [
+                "https://github.com/SuperBeastsAI/ComfyUI-SuperBeasts"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:HDR Effects (SuperBeasts.AI). This repository contains custom nodes for ComfyUI created and used by SuperBeasts.AI (@SuperBeasts.AI on Instagram)"
+        },
+        {
+            "author": "hay86",
+            "title": "ComfyUI Dreamtalk",
+            "id": "dreamtalk",
+            "reference": "https://github.com/hay86/ComfyUI_Dreamtalk",
+            "files": [
+                "https://github.com/hay86/ComfyUI_Dreamtalk"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/dreamtalk](https://github.com/ali-vilab/dreamtalk) for ComfyUI"
+        },
+        {
+            "author": "hay86",
+            "title": "ComfyUI Hallo",
+            "id": "hallo-hay86",
+            "reference": "https://github.com/hay86/ComfyUI_Hallo",
+            "files": [
+                "https://github.com/hay86/ComfyUI_Hallo"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/hallo](https://github.com/fudan-generative-vision/hallo) for ComfyUI"
+        },
+        {
+            "author": "hay86",
+            "title": "ComfyUI OpenVoice",
+            "id": "openvoice-hay86",
+            "reference": "https://github.com/hay86/ComfyUI_OpenVoice",
+            "files": [
+                "https://github.com/hay86/ComfyUI_OpenVoice"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/OpenVoice](https://github.com/myshell-ai/OpenVoice) for ComfyUI"
+        },
+        {
+            "author": "hay86",
+            "title": "ComfyUI DDColor",
+            "id": "ddcolor-hay86",
+            "reference": "https://github.com/hay86/ComfyUI_DDColor",
+            "files": [
+                "https://github.com/hay86/ComfyUI_DDColor"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/DDColor](https://github.com/piddnad/DDColor) for ComfyUI"
+        },
+        {
+            "author": "hay86",
+            "title": "ComfyUI MiniCPM-V",
+            "id": "minicpm-v",
+            "reference": "https://github.com/hay86/ComfyUI_MiniCPM-V",
+            "files": [
+                "https://github.com/hay86/ComfyUI_MiniCPM-V"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/MiniCPM-V](https://github.com/OpenBMB/MiniCPM-V) for ComfyUI"
+        },
+        {
+            "author": "hay86",
+            "title": "ComfyUI AceNodes",
+            "reference": "https://github.com/hay86/ComfyUI_AceNodes",
+            "files": [
+                "https://github.com/hay86/ComfyUI_AceNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Some useful custom nodes that are not included in ComfyUI core yet."
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-load-image-in-seq",
+            "reference": "https://github.com/shinich39/comfyui-load-image-in-seq",
+            "files": [
+                "https://github.com/shinich39/comfyui-load-image-in-seq"
+            ],
+            "install_type": "git-clone",
+            "description": "This node is load png image sequentially with metadata. Only supported for PNG format that has been created by ComfyUI.[w/renamed from comfyui-load-image-39. You need to remove previous one and reinstall to this.]"
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-random-node",
+            "id": "random-node",
+            "reference": "https://github.com/shinich39/comfyui-ramdom-node",
+            "files": [
+                "https://github.com/shinich39/comfyui-ramdom-node"
+            ],
+            "install_type": "git-clone",
+            "description": "Shuffle nodes after queue added. [w/Repository name has been changed from comfyui-random-node-39 to comfyui-random-node. Please remove and reinstall it.]"
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-local-db",
+            "reference": "https://github.com/shinich39/comfyui-local-db",
+            "files": [
+                "https://github.com/shinich39/comfyui-local-db"
+            ],
+            "install_type": "git-clone",
+            "description": "Store text to Key-Values pair json."
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-model-db",
+            "reference": "https://github.com/shinich39/comfyui-model-db",
+            "files": [
+                "https://github.com/shinich39/comfyui-model-db"
+            ],
+            "install_type": "git-clone",
+            "description": "Store settings by model."
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-load-image-with-cmd",
+            "reference": "https://github.com/shinich39/comfyui-load-image-with-cmd",
+            "files": [
+                "https://github.com/shinich39/comfyui-load-image-with-cmd"
+            ],
+            "install_type": "git-clone",
+            "description": "Load image and partially workflow with javascript."
+        },
+        {
+            "author": "shinich39",
+            "title": "connect-from-afar",
+            "reference": "https://github.com/shinich39/comfyui-connect-from-afar",
+            "files": [
+                "https://github.com/shinich39/comfyui-connect-from-afar"
+            ],
+            "install_type": "git-clone",
+            "description": "Connect a new link from out of screen."
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-target-search",
+            "reference": "https://github.com/shinich39/comfyui-target-search",
+            "files": [
+                "https://github.com/shinich39/comfyui-target-search"
+            ],
+            "install_type": "git-clone",
+            "description": "Move canvas to target on dragging connection."
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-group-selection",
+            "reference": "https://github.com/shinich39/comfyui-group-selection",
+            "files": [
+                "https://github.com/shinich39/comfyui-group-selection"
+            ],
+            "install_type": "git-clone",
+            "description": "Create a new group of nodes."
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-textarea-keybindings",
+            "reference": "https://github.com/shinich39/comfyui-textarea-keybindings",
+            "files": [
+                "https://github.com/shinich39/comfyui-textarea-keybindings"
+            ],
+            "install_type": "git-clone",
+            "description": "Add keybindings to textarea."
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-put-image",
+            "reference": "https://github.com/shinich39/comfyui-put-image",
+            "files": [
+                "https://github.com/shinich39/comfyui-put-image"
+            ],
+            "install_type": "git-clone",
+            "description": "Load image from directory."
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-parse-image",
+            "reference": "https://github.com/shinich39/comfyui-parse-image",
+            "files": [
+                "https://github.com/shinich39/comfyui-parse-image"
+            ],
+            "install_type": "git-clone",
+            "description": "Extract metadata from image."
+        },
+        {
+            "author": "wei30172",
+            "title": "comfygen",
+            "reference": "https://github.com/wei30172/comfygen",
+            "files": [
+                "https://github.com/wei30172/comfygen"
+            ],
+            "install_type": "git-clone",
+            "description": "Setting Up a Web Interface Using ComfyUI.\nNOTE:When installed, you can access it via http://127.0.0.1:8188/comfygen."
+        },
+        {
+            "author": "zombieyang",
+            "title": "SD-PPP",
+            "reference": "https://github.com/zombieyang/sd-ppp",
+            "files": [
+                "https://github.com/zombieyang/sd-ppp"
+            ],
+            "install_type": "git-clone",
+            "description": "getting/sending picture from/to Photoshop with a simple connection. Make Photoshop become the workspace of your ComfyUI"
+        },
+        {
+            "author": "KytraScript",
+            "title": "ComfyUI_KytraWebhookHTTP",
+            "reference": "https://github.com/KytraScript/ComfyUI_KytraWebhookHTTP",
+            "files": [
+                "https://github.com/KytraScript/ComfyUI_KytraWebhookHTTP"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI node that utilizes Moviepy to convert and send your images or videos to a webhook endpoint directly from ComfyUI."
+        },
+        {
+            "author": "1mckw",
+            "title": "Comfyui-Gelbooru",
+            "reference": "https://github.com/1mckw/Comfyui-Gelbooru",
+            "files": [
+                "https://github.com/1mckw/Comfyui-Gelbooru"
+            ],
+            "install_type": "git-clone",
+            "description": "Get random images from gelbooru, support multiple tag searches, exclude tags, etc. user and api key are optional."
+        },
+        {
+            "author": "NeuralSamurAI",
+            "title": "SuperPrompter Node for ComfyUI",
+            "reference": "https://github.com/NeuralSamurAI/Comfyui-Superprompt-Unofficial",
+            "files": [
+                "https://github.com/NeuralSamurAI/Comfyui-Superprompt-Unofficial"
+            ],
+            "install_type": "git-clone",
+            "description": "The SuperPrompter node is a ComfyUI node that uses the SuperPrompt-v1 model from Hugging Face to generate text based on a given prompt. It provides various parameters to control the text generation process."
+        },
+        {
+            "author": "NeuralSamurAI",
+            "title": "Dimensional Latent Perlin for ComfyUI",
+            "reference": "https://github.com/NeuralSamurAI/ComfyUI-Dimensional-Latent-Perlin",
+            "files": [
+                "https://github.com/NeuralSamurAI/ComfyUI-Dimensional-Latent-Perlin"
+            ],
+            "install_type": "git-clone",
+            "description": "Dimensional Latent Perlin is a custom node for ComfyUI that generates Perlin noise in the latent space. This node is designed to work seamlessly with various diffusion models and can be used as an alternative or complement to standard random noise generators in image generation pipelines."
+        },
+        {
+            "author": "NeuralSamurAI",
+            "title": "PromptJSON Node for ComfyUI",
+            "reference": "https://github.com/NeuralSamurAI/ComfyUI-PromptJSON",
+            "files": [
+                "https://github.com/NeuralSamurAI/ComfyUI-PromptJSON"
+            ],
+            "install_type": "git-clone",
+            "description": "PromptJSON is a custom node for ComfyUI that structures natural language prompts and generates prompts for external LLM nodes in image generation workflows. It aids in creating consistent, schema-based image descriptions."
+        },
+        {
+            "author": "NeuralSamurAI",
+            "title": "FluxPseudoNegative",
+            "reference": "https://github.com/NeuralSamurAI/ComfyUI-FluxPseudoNegativePrompt",
+            "files": [
+                "https://github.com/NeuralSamurAI/ComfyUI-FluxPseudoNegativePrompt"
+            ],
+            "install_type": "git-clone",
+            "description": "FluxPseudoNegative is an advanced custom node for ComfyUI that converts negative prompts into positive ones. It's designed to enhance prompt engineering for image generation models that don't natively support negative prompts or where using negative prompts significantly increases generation time. So instead of hacking CFG we simply invert your negative words and find their antonyms!"
+        },
+        {
+            "author": "MokkaBoss1",
+            "title": "Node Pack mostly for manipulating strings and integers",
+            "reference": "https://github.com/MokkaBoss1/ComfyUI_Mokkaboss1/wiki/Documentation-for-the-ComfyUI-Nodes-in-this-Node-Pack",
+            "files": [
+                "https://github.com/MokkaBoss1/ComfyUI_Mokkaboss1"
+            ],
+            "install_type": "git-clone",
+            "description": "Node Pack mostly for manipulating strings and integers"
+        },
+        {
+            "author": "jiaxiangc",
+            "title": "ResAdapter for ComfyUI",
+            "reference": "https://github.com/jiaxiangc/ComfyUI-ResAdapter",
+            "files": [
+                "https://github.com/jiaxiangc/ComfyUI-ResAdapter"
+            ],
+            "install_type": "git-clone",
+            "description": "We provide ComfyUI-ResAdapter node to help users to use [a/ResAdapter](https://github.com/bytedance/res-adapter) in ComfyUI."
+        },
+        {
+            "author": "ParisNeo",
+            "title": "lollms_nodes_suite",
+            "reference": "https://github.com/ParisNeo/lollms_nodes_suite",
+            "files": [
+                "https://github.com/ParisNeo/lollms_nodes_suite"
+            ],
+            "install_type": "git-clone",
+            "description": "lollms_nodes_suite is a set of nodes for comfyui that harnesses the power of lollms, a state-of-the-art AI text generation tool, to improve the quality of image generation."
+        },
+        {
+            "author": "IsItDanOrAi",
+            "title": "ComfyUI-Stereopsis",
+            "reference": "https://github.com/IsItDanOrAi/ComfyUI-Stereopsis",
+            "files": [
+                "https://github.com/IsItDanOrAi/ComfyUI-Stereopsis"
+            ],
+            "install_type": "git-clone",
+            "description": "This initiative represents a solo venture dedicated to integrating a stereopsis effect within ComfyUI (Stable Diffusion). Presently, the project is focused on the refinement of node categorization within a unified framework, as it is in the early stages of development. However, it has achieved functionality in a fundamental capacity. By processing a video through the Side-by-Side (SBS) node and applying Frame Delay to one of the inputs, it facilitates the creation of a stereopsis effect. This effect is compatible with any Virtual Reality headset that supports SBS video playback, offering a practical application in immersive media experiences."
+        },
+        {
+            "author": "nickve28",
+            "title": "ComfyUI Nich Utils",
+            "reference": "https://github.com/nickve28/ComfyUI-Nich-Utils",
+            "files": [
+                "https://github.com/nickve28/ComfyUI-Nich-Utils"
+            ],
+            "install_type": "git-clone",
+            "description": "Several utility nodes for use with ComfyUI."
+        },
+        {
+            "author": "FrankChieng",
+            "title": "ComfyUI_Aniportrait",
+            "reference": "https://github.com/frankchieng/ComfyUI_Aniportrait",
+            "files": [
+                "https://github.com/frankchieng/ComfyUI_Aniportrait"
+            ],
+            "install_type": "git-clone",
+            "description": "implementation of [a/AniPortrait](https://github.com/Zejun-Yang/AniPortrait) generating of videos, includes self driven, face reenacment and audio driven with a reference image"
+        },
+        {
+            "author": "FrankChieng",
+            "title": "ComfyUI_MagicClothing",
+            "reference": "https://github.com/frankchieng/ComfyUI_MagicClothing",
+            "files": [
+                "https://github.com/frankchieng/ComfyUI_MagicClothing"
+            ],
+            "install_type": "git-clone",
+            "description": "implementation of MagicClothing with garment and prompt in ComfyUI"
+        },
+        {
+            "author": "BlakeOne",
+            "title": "ComfyUI SchedulerMixer",
+            "reference": "https://github.com/BlakeOne/ComfyUI-SchedulerMixer",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-SchedulerMixer"
+            ],
+            "install_type": "git-clone",
+            "description": "Create a custom scheduler from a weighted average of the built-in schedulers"
+        },
+        {
+            "author": "BlakeOne",
+            "title": "ComfyUI CustomScheduler",
+            "reference": "https://github.com/BlakeOne/ComfyUI-CustomScheduler",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-CustomScheduler"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple node for setting the sigma values directly. Note, for a full denoise the last sigma should be zero."
+        },
+        {
+            "author": "BlakeOne",
+            "title": "ComfyUI NodePresets",
+            "id": "nodepresets",
+            "reference": "https://github.com/BlakeOne/ComfyUI-NodePresets",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-NodePresets"
+            ],
+            "install_type": "git-clone",
+            "description": "An extension for ComyUI that enables saving and loading node presets using the node's context menu.\nRight click a node and choose 'Presets' from its context menu to access the node's presets."
+        },
+        {
+            "author": "BlakeOne",
+            "title": "ComfyUI NodeReset",
+            "id": "nodereset",
+            "reference": "https://github.com/BlakeOne/ComfyUI-NodeReset",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-NodeReset"
+            ],
+            "install_type": "git-clone",
+            "description": "An extension for ComyUI to allow resetting a node's inputs to their default values.\nNOTE:Right click any node and choose 'Reset' from the context menu."
+        },
+        {
+            "author": "kale4eat",
+            "title": "ComfyUI_demucus",
+            "id": "demucus",
+            "reference": "https://github.com/kale4eat/ComfyUI-path-util",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-path-util"
+            ],
+            "install_type": "git-clone",
+            "description": "Path utility for ComfyUI"
+        },
+        {
+            "author": "kale4eat",
+            "title": "ComfyUI-string-util",
+            "reference": "https://github.com/kale4eat/ComfyUI-string-util",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-string-util"
+            ],
+            "install_type": "git-clone",
+            "description": "String utility for ComfyUI"
+        },
+        {
+            "author": "kale4eat",
+            "title": "ComfyUI-text-file-util",
+            "reference": "https://github.com/kale4eat/ComfyUI-text-file-util",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-text-file-util"
+            ],
+            "install_type": "git-clone",
+            "description": "Text file utility for ComfyUI"
+        },
+        {
+            "author": "kale4eat",
+            "title": "ComfyUI-speech-dataset-toolkit",
+            "reference": "https://github.com/kale4eat/ComfyUI-speech-dataset-toolkit",
+            "files": [
+                "https://github.com/kale4eat/ComfyUI-speech-dataset-toolkit"
+            ],
+            "install_type": "git-clone",
+            "description": "Basic audio tools using torchaudio for ComfyUI. It is assumed to assist in the speech dataset creation for ASR, TTS, etc."
+        },
+        {
+            "author": "DrMWeigand",
+            "title": "ComfyUI Color Detection Nodes",
+            "reference": "https://github.com/DrMWeigand/ComfyUI_ColorImageDetection",
+            "files": [
+                "https://github.com/DrMWeigand/ComfyUI_ColorImageDetection"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of nodes for detecting color in images, leveraging RGB and LAB color spaces. These nodes aim to distinguish colored images from black and white, including those with color tints."
+        },
+        {
+            "author": "bobmagicii",
+            "title": "ComfyKit Custom Nodes",
+            "reference": "https://github.com/bobmagicii/comfykit-custom-nodes",
+            "files": [
+                "https://github.com/bobmagicii/comfykit-custom-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:LoraWithMetadata, TypecasterImage."
+        },
+        {
+            "author": "TJ16th",
+            "title": "comfyUI_TJ_NormalLighting",
+            "reference": "https://github.com/TJ16th/comfyUI_TJ_NormalLighting",
+            "files": [
+                "https://github.com/TJ16th/comfyUI_TJ_NormalLighting"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom Node for comfyUI for virtual lighting based on normal map.\nYou can use normal maps to add virtual lighting effects to your images."
+        },
+        {
+            "author": "A4P7J1N7M05OT",
+            "title": "ComfyUI-PixelOE",
+            "reference": "https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE",
+            "files": [
+                "https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE"
+            ],
+            "install_type": "git-clone",
+            "description": "A barebones ComfyUI wrapper for [a/PixelOE](https://github.com/KohakuBlueleaf/PixelOE).\nI cannot promise any support, if there is someone who wants to make a proper node, please do."
+        },
+        {
+            "author": "A4P7J1N7M05OT",
+            "title": "ComfyUI-AutoColorGimp",
+            "reference": "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp",
+            "files": [
+                "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp"
+            ],
+            "install_type": "git-clone",
+            "description": "Shamelessly copied the code to auto color correct the image like in gimp from this answer: [a/https://stackoverflow.com/a/56365560/4561887](https://stackoverflow.com/a/56365560/4561887)"
+        },
+        {
+            "author": "ronniebasak",
+            "title": "ComfyUI-Tara-LLM-Integration",
+            "id": "tarallm",
+            "reference": "https://github.com/ronniebasak/ComfyUI-Tara-LLM-Integration",
+            "files": [
+                "https://github.com/ronniebasak/ComfyUI-Tara-LLM-Integration"
+            ],
+            "install_type": "git-clone",
+            "description": "Tara is a powerful node for ComfyUI that integrates Large Language Models (LLMs) to enhance and automate workflow processes. With Tara, you can create complex, intelligent workflows that refine and generate content, manage API keys, and seamlessly integrate various LLMs into your projects."
+        },
+        {
+            "author": "Sida Liu",
+            "title": "ComfyUI-Debug",
+            "id": "debug",
+            "reference": "https://github.com/liusida/ComfyUI-Debug",
+            "files": [
+                "https://github.com/liusida/ComfyUI-Debug"
+            ],
+            "install_type": "git-clone",
+            "description": "Attach a debug node to an output to obtain more detailed information. Uncover the details of your models in ComfyUI with ease."
+        },
+        {
+            "author": "Sida Liu",
+            "title": "ComfyUI-Login",
+            "id": "login",
+            "reference": "https://github.com/liusida/ComfyUI-Login",
+            "files": [
+                "https://github.com/liusida/ComfyUI-Login"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple password to protect ComfyUI."
+        },
+        {
+            "author": "Sida Liu",
+            "title": "ComfyUI-AutoCropFaces",
+            "id": "autocropfaces",
+            "reference": "https://github.com/liusida/ComfyUI-AutoCropFaces",
+            "files": [
+                "https://github.com/liusida/ComfyUI-AutoCropFaces"
+            ],
+            "install_type": "git-clone",
+            "description": "Use RetinaFace to detect and automatically crop faces."
+        },
+        {
+            "author": "Sida Liu",
+            "title": "ComfyUI-SD3-nodes",
+            "id": "sd3-nodes",
+            "reference": "https://github.com/liusida/ComfyUI-SD3-nodes",
+            "files": [
+                "https://github.com/liusida/ComfyUI-SD3-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes that support Stable Diffusion 3 Medium better."
+        },
+        {
+            "author": "Sida Liu",
+            "title": "ComfyUI-B-LoRA",
+            "id": "b-lora",
+            "reference": "https://github.com/liusida/ComfyUI-B-LoRA",
+            "files": [
+                "https://github.com/liusida/ComfyUI-B-LoRA"
+            ],
+            "install_type": "git-clone",
+            "description": "Load and apply B-LoRA models, currently B-LoRA models only works with SDXL (sdxl_base_1.0)."
+        },
+        {
+            "author": "jtydhr88",
+            "title": "ComfyUI-Workflow-Encrypt",
+            "id": "workflow-encrypt",
+            "reference": "https://github.com/jtydhr88/ComfyUI-Workflow-Encrypt",
+            "files": [
+                "https://github.com/jtydhr88/ComfyUI-Workflow-Encrypt"
+            ],
+            "install_type": "git-clone",
+            "description": "Encrypt your comfyui workflow, and share it with key"
+        },
+        {
+            "author": "jtydhr88",
+            "title": "ComfyUI LayerDivider",
+            "id": "layer-divider",
+            "reference": "https://github.com/jtydhr88/ComfyUI-LayerDivider",
+            "files": [
+                "https://github.com/jtydhr88/ComfyUI-LayerDivider"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI LayerDivider is custom nodes that generating layered psd files inside ComfyUI[w/Please follow readme and run install_windows_portable_win_py311_cu121 for ComfyUI embedded python.]"
+        },
+        {
+            "author": "jtydhr88",
+            "title": "ComfyUI Unique3D",
+            "id": "unique3d",
+            "reference": "https://github.com/jtydhr88/ComfyUI-Unique3D",
+            "files": [
+                "https://github.com/jtydhr88/ComfyUI-Unique3D"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Unique3D is custom nodes that running AiuniAI/Unique3D into ComfyUI[w/Please follow readme to install with ComfyUI embedded python.]"
+        },
+        {
+            "author": "SeaArtLab",
+            "title": "ComfyUI-Long-CLIP",
+            "reference": "https://github.com/SeaArtLab/ComfyUI-Long-CLIP",
+            "files": [
+                "https://github.com/SeaArtLab/ComfyUI-Long-CLIP"
+            ],
+            "install_type": "git-clone",
+            "description": "This project implements the comfyui for long-clip, currently supporting the replacement of clip-l. For SD1.5, the SeaArtLongClip module can be used to replace the original clip in the model, expanding the token length from 77 to 248."
+        },
+        {
+            "author": "tsogzark",
+            "title": "ComfyUI-load-image-from-url",
+            "reference": "https://github.com/tsogzark/ComfyUI-load-image-from-url",
+            "files": [
+                "https://github.com/tsogzark/ComfyUI-load-image-from-url"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple node to load image from local path or http url.\nYou can find this node from 'image' category."
+        },
+        {
+            "author": "discus0434",
+            "title": "ComfyUI Caching Embeddings",
+            "id": "caching-embeddings",
+            "reference": "https://github.com/discus0434/comfyui-caching-embeddings",
+            "files": [
+                "https://github.com/discus0434/comfyui-caching-embeddings"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository simply caches the CLIP embeddings and subtly accelerates the inference process by bypassing unnecessary computations."
+        },
+        {
+            "author": "discus0434",
+            "title": "ComfyUI Aesthetic Predictor V2.5",
+            "id": "aesthetic-predictor",
+            "reference": "https://github.com/discus0434/comfyui-aesthetic-predictor-v2-5",
+            "files": [
+                "https://github.com/discus0434/comfyui-aesthetic-predictor-v2-5"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple ComfyUI node that predicts the score of an aesthetic image with SigLIP-based predictor."
+        },
+        {
+            "author": "AIFSH",
+            "title": "StyleShot-ComfyUI",
+            "id": "styleshot",
+            "reference": "https://github.com/AIFSH/StyleShot-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/StyleShot-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a custom node for [a/StyleShot](https://github.com/open-mmlab/StyleShot.git)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "VocalSeparation-ComfyUI",
+            "id": "vocalseparation",
+            "reference": "https://github.com/AIFSH/VocalSeparation-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/VocalSeparation-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a custom node for separation vocals from music based on [a/ZFTurbo/Music-Source-Separation-Training](https://github.com/ZFTurbo/Music-Source-Separation-Training)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "DiffMorpher-ComfyUI",
+            "id": "diffmorpher",
+            "reference": "https://github.com/AIFSH/DiffMorpher-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/DiffMorpher-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a custom node for [a/DiffMorpher](https://github.com/Kevin-thu/DiffMorpher),you can find base workflow in [a/doc](https://github.com/AIFSH/DiffMorpher-ComfyUI/blob/main/doc)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-UVR5",
+            "id": "uvr5",
+            "reference": "https://github.com/AIFSH/ComfyUI-UVR5",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-UVR5"
+            ],
+            "install_type": "git-clone",
+            "description": "the custom code for [a/UVR5](https://github.com/Anjok07/ultimatevocalremovergui) to separate vocals and background music"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-IP_LAP",
+            "id": "iplap",
+            "reference": "https://github.com/AIFSH/ComfyUI-IP_LAP",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-IP_LAP"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:IP_LAP Node, Video Loader, PreView Video, Combine Audio Video. the comfyui custom node of [a/IP_LAP](https://github.com/Weizhi-Zhong/IP_LAP) to make audio driven videos!"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-GPT_SoVITS",
+            "id": "sovits",
+            "reference": "https://github.com/AIFSH/ComfyUI-GPT_SoVITS",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-GPT_SoVITS"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS)! you can voice cloning and tts in comfyui now\n[w/NOTE:make sure ffmpeg is worked in your commandline]"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-MuseTalk_FSH",
+            "id": "musetalk-fsh",
+            "reference": "https://github.com/AIFSH/ComfyUI-MuseTalk_FSH",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MuseTalk_FSH"
+            ],
+            "install_type": "git-clone",
+            "description": "the comfyui custom node of [a/MuseTalk](https://github.com/TMElyralab/MuseTalk) to make audio driven videos!"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-WhisperX",
+            "id": "whisperx",
+            "reference": "https://github.com/AIFSH/ComfyUI-WhisperX",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-WhisperX"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui cuatom node for audio subtitling based on [a/whisperX](https://github.com/m-bain/whisperX.git) and [a/translators](https://github.com/UlionTse/translators)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-RVC",
+            "id": "aifsh-rvc",
+            "reference": "https://github.com/AIFSH/ComfyUI-RVC",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-RVC"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git), you can Voice-Conversion in comfyui now!\nNOTE: make sure ffmpeg is worked in your commandline for Linux"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-XTTS",
+            "id": "xtts",
+            "reference": "https://github.com/AIFSH/ComfyUI-XTTS",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-XTTS"
+            ],
+            "install_type": "git-clone",
+            "description": "a custom comfyui node for [a/coqui-ai/TTS](https://github.com/coqui-ai/TTS.git)'s xtts module! support 17 languages voice cloning and tts"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-Live2DViewer",
+            "id": "live2dviewer",
+            "reference": "https://github.com/AIFSH/ComfyUI-Live2DViewer",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-Live2DViewer"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui node for viewing Live2D model"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-FishSpeech",
+            "id": "fishspeech",
+            "reference": "https://github.com/AIFSH/ComfyUI-FishSpeech",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-FishSpeech"
+            ],
+            "install_type": "git-clone",
+            "description": "a custom comfyui node for [a/fish-speech](https://github.com/fishaudio/fish-speech.git)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI_V-Express",
+            "id": "v-express-aifsh",
+            "reference": "https://github.com/AIFSH/ComfyUI_V-Express",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI_V-Express"
+            ],
+            "install_type": "git-clone",
+            "description": "the comfyui custom node of [a/V-Express](https://github.com/tencent-ailab/V-Express) to make audio driven videos!"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-MimicBrush",
+            "id": "mimicbrush",
+            "reference": "https://github.com/AIFSH/ComfyUI-MimicBrush",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MimicBrush"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/MimicBrush](https://github.com/ali-vilab/MimicBrush),then inpainting with reference image."
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-Hallo",
+            "id": "hallo",
+            "reference": "https://github.com/AIFSH/ComfyUI-Hallo",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-Hallo"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/hallo](https://github.com/fudan-generative-vision/hallo)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-UniAnimate",
+            "id": "unianimate",
+            "reference": "https://github.com/AIFSH/ComfyUI-UniAnimate",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-UniAnimate"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/UniAnimate](https://github.com/ali-vilab/UniAnimate)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-3d-photo-inpainting",
+            "id": "3d-photo-inpainting",
+            "reference": "https://github.com/AIFSH/ComfyUI-3d-photo-inpainting",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-3d-photo-inpainting"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/3d-photo-inpainting](https://github.com/vt-vl-lab/3d-photo-inpainting),then you can render one image to zoom-in/dolly zoom/swing motion/circle motion video"
+        },
+        {
+            "author": "AIFSH",
+            "title": "AIFSH/ComfyUI-AuraSR",
+            "id": "aurasr-aifsh",
+            "reference": "https://github.com/AIFSH/ComfyUI-AuraSR",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-AuraSR"
+            ],
+            "install_type": "git-clone",
+            "description": "a node for [a/AuraSR](https://github.com/fal-ai/aura-sr)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-MARS5-TTS",
+            "id": "mars5-tts",
+            "reference": "https://github.com/AIFSH/ComfyUI-MARS5-TTS",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MARS5-TTS"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/MARS5-TTS](https://github.com/Camb-ai/MARS5-TTS)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-I2V-Adapter",
+            "id": "i2v-adapter",
+            "reference": "https://github.com/AIFSH/ComfyUI-I2V-Adapter",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-I2V-Adapter"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/I2V-Adapter](https://github.com/KwaiVGI/I2V-Adapter)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-MimicMotion",
+            "id": "mimicmotion-aifsh",
+            "reference": "https://github.com/AIFSH/ComfyUI-MimicMotion",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-MimicMotion"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/MimicMotion](https://github.com/Tencent/MimicMotion)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-DiffSynth-Studio",
+            "id": "diffsynth-studio",
+            "reference": "https://github.com/AIFSH/ComfyUI-DiffSynth-Studio",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-DiffSynth-Studio"
+            ],
+            "install_type": "git-clone",
+            "description": "make [a/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) available in ComfyUI"
+        },
+        {
+            "author": "AIFSH",
+            "title": "CosyVoice-ComfyUI",
+            "id": "cosyvoice",
+            "reference": "https://github.com/AIFSH/CosyVoice-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/CosyVoice-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/CosyVoice](https://github.com/FunAudioLLM/CosyVoice)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "SenseVoice-ComfyUI",
+            "id": "sensevoice",
+            "reference": "https://github.com/AIFSH/SenseVoice-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/SenseVoice-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a custom node for [a/SenseVoice](https://github.com/FunAudioLLM/SenseVoice)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "AniTalker-ComfyUI",
+            "id": "anitalker",
+            "reference": "https://github.com/AIFSH/AniTalker-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/AniTalker-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/AniTalker](https://github.com/X-LANCE/AniTalker)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "DHLive-ComfyUI",
+            "id": "dhlive",
+            "reference": "https://github.com/AIFSH/DHLive-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/DHLive-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/DH_live](https://github.com/kleinlee/DH_live)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "GSTTS-ComfyUI",
+            "id": "gstts",
+            "reference": "https://github.com/AIFSH/GSTTS-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/GSTTS-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for [a/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "FancyVideo-ComfyUI",
+            "reference": "https://github.com/AIFSH/FancyVideo-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/FancyVideo-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a custom node for [a/FancyVideo](https://github.com/360CVGroup/FancyVideo)"
+        },
+        {
+            "author": "AIFSH",
+            "title": "VideoSys-ComfyUI",
+            "reference": "https://github.com/AIFSH/VideoSys-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/VideoSys-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:TextNode, PreViewVideo, VideoSysNode."
+        },
+        {
+            "author": "Koishi-Star",
+            "title": "Euler-Smea-Dyn-Sampler",
+            "id": "smea",
+            "reference": "https://github.com/Koishi-Star/Euler-Smea-Dyn-Sampler",
+            "files": [
+                "https://github.com/Koishi-Star/Euler-Smea-Dyn-Sampler"
+            ],
+            "install_type": "git-clone",
+            "description": "СomfyUI version of [a/Euler Smea Dyn Sampler](https://github.com/Koishi-Star/Euler-Smea-Dyn-Sampler). It adds samplers directly to KSampler nodes."
+        },
+        {
+            "author": "sdfxai",
+            "title": "SDFXBridgeForComfyUI - ComfyUI Custom Node for SDFX Integration",
+            "id": "sdfx",
+            "reference": "https://github.com/sdfxai/SDFXBridgeForComfyUI",
+            "files": [
+                "https://github.com/sdfxai/SDFXBridgeForComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "SDFXBridgeForComfyUI is a custom node designed for seamless integration between ComfyUI and SDFX. This custom node allows users to make ComfyUI compatible with SDFX when running the ComfyUI instance on their local machines."
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_FoleyCrafter",
+            "id": "comfyui_foleycrafter",
+            "reference": "https://github.com/smthemex/ComfyUI_FoleyCrafter",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_FoleyCrafter"
+            ],
+            "install_type": "git-clone",
+            "description": "FoleyCrafter is a video-to-audio generation framework which can produce realistic sound effects semantically relevant and synchronized with videos."
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_Diffree",
+            "id": "comfyui_diffree",
+            "reference": "https://github.com/smthemex/ComfyUI_Diffree",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Diffree"
+            ],
+            "install_type": "git-clone",
+            "description": "using diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model"
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_Stable_Makeup",
+            "id": "Stable_Makeup",
+            "reference": "https://github.com/smthemex/ComfyUI_Stable_Makeup",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Stable_Makeup"
+            ],
+            "install_type": "git-clone",
+            "description": "You can apply makeup to the characters in comfyui"
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_FollowYourEmoji",
+            "id": "FollowYourEmoji",
+            "reference": "https://github.com/smthemex/ComfyUI_FollowYourEmoji",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_FollowYourEmoji"
+            ],
+            "install_type": "git-clone",
+            "description": "You can make emoji from a video and a image in comfyui"
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_EchoMimic",
+            "id": "EchoMimic",
+            "reference": "https://github.com/smthemex/ComfyUI_EchoMimic",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_EchoMimic"
+            ],
+            "install_type": "git-clone",
+            "description": "You can using [a/EchoMimic](https://github.com/BadToBest/EchoMimic/tree/main) in comfyui,whitch Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning "
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_ChatGLM_API",
+            "id": "chatglm-api",
+            "reference": "https://github.com/smthemex/ComfyUI_ChatGLM_API",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_ChatGLM_API"
+            ],
+            "install_type": "git-clone",
+            "description": "You can call Chatglm's API in comfyUI to translate and describe pictures, and the API similar to OpenAI."
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_StableAudio_Open",
+            "id": "stable-audio-open-1.0",
+            "reference": "https://github.com/smthemex/ComfyUI_StableAudio_Open",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_StableAudio_Open"
+            ],
+            "install_type": "git-clone",
+            "description": "You can use stable-audio-open-1.0 in comfyUI"
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_AnyDoor",
+            "id": "ComfyUI_AnyDoor",
+            "reference": "https://github.com/smthemex/ComfyUI_AnyDoor",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_AnyDoor"
+            ],
+            "install_type": "git-clone",
+            "description": "You can use anydoor, change clothes or object..."
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_HiDiffusion_Pro",
+            "id": "hidiffusion-pro",
+            "reference": "https://github.com/smthemex/ComfyUI_HiDiffusion_Pro",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_HiDiffusion_Pro"
+            ],
+            "install_type": "git-clone",
+            "description": "A HiDiffusion node for ComfyUI."
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_StoryDiffusion",
+            "id": "StoryDiffusion",
+            "reference": "https://github.com/smthemex/ComfyUI_StoryDiffusion",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_StoryDiffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "A StoryDiffusion node for ComfyUI."
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_MS_Diffusion",
+            "id": "MS_Diffusion",
+            "reference": "https://github.com/smthemex/ComfyUI_MS_Diffusion",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_MS_Diffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "You can using MS-diffusion make story in comfyUI."
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_Pic2Story",
+            "id": "pic2story",
+            "reference": "https://github.com/smthemex/ComfyUI_Pic2Story",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Pic2Story"
+            ],
+            "install_type": "git-clone",
+            "description": "you can using pic2story in comfyUI"
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_Llama3_8B",
+            "id": "llama3-8b",
+            "reference": "https://github.com/smthemex/ComfyUI_Llama3_8B",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Llama3_8B"
+            ],
+            "install_type": "git-clone",
+            "description": "Llama3_8B for comfyUI， using pipeline workflow."
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_ParlerTTS",
+            "id": "parlertts",
+            "reference": "https://github.com/smthemex/ComfyUI_ParlerTTS",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_ParlerTTS"
+            ],
+            "install_type": "git-clone",
+            "description": "Parler-TTS is a lightweight text-to-speech (TTS) model that can generate high-quality, natural sounding speech in the style of a given speaker (gender, pitch, speaking style, etc)"
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_Pipeline_Tool",
+            "id": "pipeline-tool",
+            "reference": "https://github.com/smthemex/ComfyUI_Pipeline_Tool",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Pipeline_Tool"
+            ],
+            "install_type": "git-clone",
+            "description": "A tool for novice users in Chinese Mainland to call the huggingface hub and download the huggingface models."
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_ID_Animator",
+            "id": "id-animator",
+            "reference": "https://github.com/smthemex/ComfyUI_ID_Animator",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_ID_Animator"
+            ],
+            "install_type": "git-clone",
+            "description": "This node allows you to use ID_Animator, the zero shot video generation model"
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_CustomNet",
+            "id": "customnet",
+            "reference": "https://github.com/smthemex/ComfyUI_CustomNet",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_CustomNet"
+            ],
+            "install_type": "git-clone",
+            "description": "you can using customnet in comfyUI"
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_Pops",
+            "id": "pops",
+            "reference": "https://github.com/smthemex/ComfyUI_Pops",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Pops"
+            ],
+            "install_type": "git-clone",
+            "description": "You can use [a/Popspaper](https://popspaper.github.io/pOps/) method in comfyUI"
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_Streamv2v_Plus",
+            "id": "streamv2v",
+            "reference": "https://github.com/smthemex/ComfyUI_Streamv2v_Plus",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_Streamv2v_Plus"
+            ],
+            "install_type": "git-clone",
+            "description": "using [a/StreamV2V](https://github.com/Jeff-LiangF/streamv2v) in ComfyUI"
+        },
+        {
+            "author": "smthemex",
+            "title": "ComfyUI_MooER",
+            "id": "comfyui_mooer",
+            "reference": "https://github.com/smthemex/ComfyUI_MooER",
+            "files": [
+                "https://github.com/smthemex/ComfyUI_MooER"
+            ],
+            "install_type": "git-clone",
+            "description": "MooER is an LLM-based Speech Recognition and Translation Model from Moore Threads.You can use MooER when install ComfyUI_MooER node"
+        },
+        {
+            "author": "choey",
+            "title": "Comfy-Topaz",
+            "id": "topaz",
+            "reference": "https://github.com/choey/Comfy-Topaz",
+            "files": [
+                "https://github.com/choey/Comfy-Topaz"
+            ],
+            "install_type": "git-clone",
+            "description": "Comfy-Topaz is a custom node for ComfyUI, which integrates with Topaz Photo AI to enhance (upscale, sharpen, denoise, etc.) images, allowing this traditionally asynchronous step to become a part of ComfyUI workflows.\nNOTE:Licensed installation of Topaz Photo AI"
+        },
+        {
+            "author": "ALatentPlace",
+            "title": "ComfyUI_yanc",
+            "id": "yanc-alatentplace",
+            "reference": "https://github.com/ALatentPlace/ComfyUI_yanc",
+            "files": [
+                "https://github.com/ALatentPlace/ComfyUI_yanc"
+            ],
+            "install_type": "git-clone",
+            "description": "Yet Another Node Collection. Adds some useful nodes, check out the GitHub page for more details."
+        },
+        {
+            "author": "Wicloz",
+            "title": "ComfyUI Simply Nodes",
+            "reference": "https://github.com/Wicloz/ComfyUI-Simply-Nodes",
+            "files": [
+                "https://github.com/Wicloz/ComfyUI-Simply-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple nodes to help clean up your workflow, mostly focussed on text operations."
+        },
+        {
+            "author": "wandbrandon",
+            "title": "comfyui-pixel",
+            "id": "pixel",
+            "reference": "https://github.com/wandbrandon/comfyui-pixel",
+            "files": [
+                "https://github.com/wandbrandon/comfyui-pixel"
+            ],
+            "install_type": "git-clone",
+            "description": "pixel art workshop nodes for comfyui."
+        },
+        {
+            "author": "nullquant",
+            "title": "BrushNet",
+            "id": "brushnet",
+            "reference": "https://github.com/nullquant/ComfyUI-BrushNet",
+            "files": [
+                "https://github.com/nullquant/ComfyUI-BrushNet"
+            ],
+            "install_type": "git-clone",
+            "description": "These are custom nodes for ComfyUI native implementation of [a/BrushNet](https://arxiv.org/abs/2403.06976) (inpaint), PowerPaint (inpaint, object removal) and HiDiffusion (higher resolution for SD15 and SDXL)"
+        },
+        {
+            "author": "pamparamm",
+            "title": "Perturbed-Attention Guidance",
+            "id": "pag",
+            "reference": "https://github.com/pamparamm/sd-perturbed-attention",
+            "files": [
+                "https://github.com/pamparamm/sd-perturbed-attention"
+            ],
+            "install_type": "git-clone",
+            "description": "Perturbed-Attention Guidance with advanced parameters for ComfyUI. (PAG)"
+        },
+        {
+            "author": "pamparamm",
+            "title": "ComfyUI Vectorscope CC",
+            "id": "vectorscope",
+            "reference": "https://github.com/pamparamm/ComfyUI-vectorscope-cc",
+            "files": [
+                "https://github.com/pamparamm/ComfyUI-vectorscope-cc"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI port of Vectorscope CC and Diffusion Color Grading by Haoming02. Makes it possible to adjust Brightness/Contrast/Saturation/Hue during image generation."
+        },
+        {
+            "author": "pamparamm",
+            "title": "ComfyUI-ppm",
+            "id": "comfyui-ppm",
+            "reference": "https://github.com/pamparamm/ComfyUI-ppm",
+            "files": [
+                "https://github.com/pamparamm/ComfyUI-ppm"
+            ],
+            "install_type": "git-clone",
+            "description": "Fixed AttentionCouple/NegPip(negative weights in prompts), more CFG++ samplers, etc."
+        },
+        {
+            "author": "unwdef",
+            "title": "unwdef-nodes",
+            "reference": "https://github.com/unwdef/unwdef-nodes-comfyui",
+            "files": [
+                "https://github.com/unwdef/unwdef-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes for ComfyUI by unwdef."
+        },
+        {
+            "author": "fevre27",
+            "title": "Self-Guidance nodes",
+            "id": "self-guidance",
+            "reference": "https://github.com/forever22777/comfyui-self-guidance",
+            "files": [
+                "https://github.com/forever22777/comfyui-self-guidance"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial ComfyUI implementation of Self-Guidance."
+        },
+        {
+            "author": "aburahamu",
+            "title": "ComfyUI-RequestPoster",
+            "id": "request-poster",
+            "reference": "https://github.com/aburahamu/ComfyUI-RequestsPoster",
+            "files": [
+                "https://github.com/aburahamu/ComfyUI-RequestsPoster"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension can send HTTP Requests. You can request image generation to StableDiffusion3 and post images to X (Twitter) and Discord."
+        },
+        {
+            "author": "aburahamu",
+            "title": "ComfyUI-IsNiceParts",
+            "id": "isniceparts",
+            "reference": "https://github.com/aburahamu/ComfyUI-IsNiceParts",
+            "files": [
+                "https://github.com/aburahamu/ComfyUI-IsNiceParts"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node detects body parts (currently only hands) from the received image and outputs the image if the skeleton can be estimated."
+        },
+        {
+            "author": "Sorcerio",
+            "title": "MBM's Music Visualizer",
+            "reference": "https://github.com/Sorcerio/MBM-Music-Visualizer",
+            "files": [
+                "https://github.com/Sorcerio/MBM-Music-Visualizer"
+            ],
+            "install_type": "git-clone",
+            "description": "An image generation based music visualizer integrated into comfyanonymous/ComfyUI as custom nodes."
+        },
+        {
+            "author": "quadmoon",
+            "title": "quadmoon's ComfyUI nodes",
+            "reference": "https://github.com/traugdor/ComfyUI-quadMoons-nodes",
+            "files": [
+                "https://github.com/traugdor/ComfyUI-quadMoons-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "These are just some nodes I wanted and couldn't find where anyone else had made them yet."
+        },
+        {
+            "author": "quadme7macoon",
+            "title": "ComfyUI-ShadertoyGL",
+            "reference": "https://github.com/e7mac/ComfyUI-ShadertoyGL",
+            "files": [
+                "https://github.com/e7mac/ComfyUI-ShadertoyGL"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Shadertoy, Shader, ColorChannelOffset."
+        },
+        {
+            "author": "royceschultz",
+            "title": "ComfyUI-TranscriptionTools",
+            "id": "transcription-tools",
+            "reference": "https://github.com/royceschultz/ComfyUI-TranscriptionTools",
+            "files": [
+                "https://github.com/royceschultz/ComfyUI-TranscriptionTools"
+            ],
+            "install_type": "git-clone",
+            "description": "Transcribe audio and video files in ComfyUI."
+        },
+        {
+            "author": "kunieone",
+            "title": "ComfyUI_alkaid",
+            "id": "alkadi",
+            "reference": "https://github.com/kunieone/ComfyUI_alkaid",
+            "files": [
+                "https://github.com/kunieone/ComfyUI_alkaid"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:A_Face3DSwapper, A_FaceCrop, A_FacePaste, A_OpenPosePreprocessor, A_EmptyLatentImageLongside, A_GetImageSize, AlkaidLoader, AdapterFaceLoader, AdapterStyleLoader, ..."
+        },
+        {
+            "author": "txt2any",
+            "title": "ComfyUI-PromptOrganizer",
+            "id": "prompt-organizer",
+            "reference": "https://github.com/txt2any/ComfyUI-PromptOrganizer",
+            "files": [
+                "https://github.com/txt2any/ComfyUI-PromptOrganizer"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a custom node for ComfyUI that automatically saves your AI-generated images specifically to [a/www.txt2any.com](http://www.txt2any.com/)."
+        },
+        {
+            "author": "kealiu",
+            "title": "ComfyUI Load and Save file to S3",
+            "id": "savefile-to-s3",
+            "reference": "https://github.com/kealiu/ComfyUI-S3-Tools",
+            "files": [
+                "https://github.com/kealiu/ComfyUI-S3-Tools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Load From S3, Save To S3."
+        },
+        {
+            "author": "kealiu",
+            "title": "ComfyUI-ZeroShot-MTrans",
+            "id": "zeroshot-mtrans",
+            "reference": "https://github.com/kealiu/ComfyUI-ZeroShot-MTrans",
+            "files": [
+                "https://github.com/kealiu/ComfyUI-ZeroShot-MTrans"
+            ],
+            "install_type": "git-clone",
+            "description": "An unofficial ComfyUI custom node for [a/Zero-Shot Material Transfer from a Single Image](https://ttchengab.github.io/zest), Given an input image (e.g., a photo of an apple) and a single material exemplar image (e.g., a golden bowl), ZeST can transfer the gold material from the exemplar onto the apple with accurate lighting cues while making everything else consistent."
+        },
+        {
+            "author": "kealiu",
+            "title": "ComfyUI-Zero123-Porting",
+            "id": "zero123-porting",
+            "reference": "https://github.com/kealiu/ComfyUI-Zero123-Porting",
+            "files": [
+                "https://github.com/kealiu/ComfyUI-Zero123-Porting"
+            ],
+            "install_type": "git-clone",
+            "description": "Zero-1-to-3: Zero-shot One Image to 3D Object, unofficial porting of original [Zero123](https://github.com/cvlab-columbia/zero123)"
+        },
+        {
+            "author": "TashaSkyUp",
+            "title": "ComfyUI_LiteLLM",
+            "id": "litellm",
+            "reference": "https://github.com/Hopping-Mad-Games/ComfyUI_LiteLLM",
+            "files": [
+                "https://github.com/Hopping-Mad-Games/ComfyUI_LiteLLM"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes for interfacing with LiteLLM"
+        },
+        {
+            "author": "AonekoSS",
+            "title": "ComfyUI-SimpleCounter",
+            "id": "simplecounter",
+            "reference": "https://github.com/AonekoSS/ComfyUI-SimpleCounter",
+            "files": [
+                "https://github.com/AonekoSS/ComfyUI-SimpleCounter"
+            ],
+            "install_type": "git-clone",
+            "description": "Node: utils/Simple Counter\nThis node is a simple counter, when pressing 'Queue Prompt' resets the count."
+        },
+        {
+            "author": "AonekoSS",
+            "title": "ComfyUI-LoRA-Tuner",
+            "id": "lora-tuner",
+            "reference": "https://github.com/AonekoSS/ComfyUI-LoRA-Tuner",
+            "files": [
+                "https://github.com/AonekoSS/ComfyUI-LoRA-Tuner"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: LoRA-Tuner. For using multiple LoRA easily."
+        },
+        {
+            "author": "heshengtao",
+            "title": "comfyui_LLM_party",
+            "id": "llm-party",
+            "reference": "https://github.com/heshengtao/comfyui_LLM_party",
+            "files": [
+                "https://github.com/heshengtao/comfyui_LLM_party"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of block-based LLM agent node libraries designed for ComfyUI.This project aims to develop a complete set of nodes for LLM workflow construction based on comfyui. It allows users to quickly and conveniently build their own LLM workflows and easily integrate them into their existing SD workflows."
+        },
+        {
+            "author": "heshengtao",
+            "title": "comfyui_LLM_schools",
+            "reference": "https://github.com/heshengtao/comfyui_LLM_schools",
+            "files": [
+                "https://github.com/heshengtao/comfyui_LLM_schools"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI node library for fine-tuning LLMs"
+        },
+        {
+            "author": "VAST-AI-Research",
+            "title": "Tripo for ComfyUI",
+            "id": "tripo",
+            "reference": "https://github.com/VAST-AI-Research/ComfyUI-Tripo",
+            "files": [
+                "https://github.com/VAST-AI-Research/ComfyUI-Tripo"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes for using [a/Tripo](https://www.tripo3d.ai/) in ComfyUI to create 3D from text and image prompts."
+        },
+        {
+            "author": "JettHu",
+            "title": "ComfyUI_TGate",
+            "id": "tgate",
+            "reference": "https://github.com/JettHu/ComfyUI_TGate",
+            "files": [
+                "https://github.com/JettHu/ComfyUI_TGate"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI reference implementation for [a/T-GATE](https://github.com/HaozheLiu-ST/T-GATE)."
+        },
+        {
+            "author": "JettHu",
+            "title": "ComfyUI-TCD",
+            "id": "jetthu-tcd",
+            "reference": "https://github.com/JettHu/ComfyUI-TCD",
+            "files": [
+                "https://github.com/JettHu/ComfyUI-TCD"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI implementation for [a/TCD](https://github.com/jabir-zheng/TCD)."
+        },
+        {
+            "author": "sugarkwork",
+            "title": "comfyui_tag_filter",
+            "id": "tag-filter",
+            "reference": "https://github.com/sugarkwork/comfyui_tag_fillter",
+            "files": [
+                "https://github.com/sugarkwork/comfyui_tag_fillter"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a custom node of ComfyUI that categorizes tags outputted by tools like WD14Tagger, filters them by each category, and returns the filtered results."
+        },
+        {
+            "author": "Intersection98",
+            "title": "ComfyUI-MX-post-processing-nodes",
+            "reference": "https://github.com/Intersection98/ComfyUI_MX_post_processing-nodes",
+            "files": [
+                "https://github.com/Intersection98/ComfyUI_MX_post_processing-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of post processing nodes for ComfyUI, dds image post-processing adjustment capabilities to the ComfyUI."
+        },
+        {
+            "author": "TencentQQGYLab",
+            "title": "ComfyUI-ELLA",
+            "id": "ella",
+            "reference": "https://github.com/TencentQQGYLab/ComfyUI-ELLA",
+            "files": [
+                "https://github.com/TencentQQGYLab/ComfyUI-ELLA"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI implementation for [a/ELLA](https://github.com/TencentQQGYLab/ELLA)."
+        },
+        {
+            "author": "DarKDinDoN",
+            "title": "ComfyUI Checkpoint Automatic Config",
+            "id": "checkpoint-autoconfig",
+            "reference": "https://github.com/DarKDinDoN/comfyui-checkpoint-automatic-config",
+            "files": [
+                "https://github.com/DarKDinDoN/comfyui-checkpoint-automatic-config"
+            ],
+            "install_type": "git-clone",
+            "description": "This node was designed to help with checkpoint configuration. Fee free to add new checkpoint configurations!"
+        },
+        {
+            "author": "MinusZoneAI",
+            "title": "ComfyUI-Prompt-MZ",
+            "id": "prompt-mz",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-Prompt-MZ",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-Prompt-MZ"
+            ],
+            "install_type": "git-clone",
+            "description": "Use llama.cpp to help generate some nodes for prompt word related work"
+        },
+        {
+            "author": "MinusZoneAI",
+            "title": "ComfyUI-StylizePhoto-MZ",
+            "id": "stylizephoto",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-StylizePhoto-MZ",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-StylizePhoto-MZ"
+            ],
+            "install_type": "git-clone",
+            "description": "A stylized node with simple operation. The effect is achieved by I2I and lora. The clay style is currently implemented.Comes with watermark function."
+        },
+        {
+            "author": "MinusZoneAI",
+            "title": "ComfyUI-TrainTools-MZ",
+            "id": "traintools",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-TrainTools-MZ",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-TrainTools-MZ"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes for fine-tuning lora in ComfyUI, dependent on training tools such as kohya-ss/sd-scripts"
+        },
+        {
+            "author": "MinusZoneAI",
+            "title": "ComfyUI-Kolors-MZ",
+            "id": "kolors-mz",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ"
+            ],
+            "install_type": "git-clone",
+            "description": "Implementation of Kolors on ComfyUI\nReference from [a/https://github.com/kijai/ComfyUI-KwaiKolorsWrapper](https://github.com/kijai/ComfyUI-KwaiKolorsWrapper)\nUsing ComfyUI Native Sampling"
+        },
+        {
+            "author": "MinusZoneAI",
+            "title": "ComfyUI-Flux1Quantize-MZ",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-Flux1Quantize-MZ",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-Flux1Quantize-MZ"
+            ],
+            "pip": ["git+https://github.com/IST-DASLab/marlin"],
+            "install_type": "git-clone",
+            "description": "Quantization tools are from [a/https://github.com/casper-hansen/AutoAWQ](https://github.com/casper-hansen/AutoAWQ) and [a/https://github.com/IST-DASLab/marlin](https://github.com/IST-DASLab/marlin)\nOnly applicable to graphics cards with sm_80 and above (30 series and above)\nNeed to install marlin dependencies first"
+        },
+        {
+            "author": "MinusZoneAI",
+            "title": "ComfyUI-FluxExt-MZ",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-FluxExt-MZ",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-FluxExt-MZ"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:MZ_Flux1PartialLoad_Patch. Tool nodes related to flux1"
+        },
+        {
+            "author": "MinusZoneAI",
+            "title": "ComfyUI-CogVideoX-MZ",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-CogVideoX-MZ",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-CogVideoX-MZ"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:MZ_CogVideoXLoader"
+        },
+        {
+            "author": "blueraincoatli",
+            "title": "comfyUI_SillyNodes",
+            "id": "silly",
+            "reference": "https://github.com/blueraincoatli/comfyUI_SillyNodes",
+            "files": [
+                "https://github.com/blueraincoatli/comfyUI_SillyNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Using rgthree's fast_group_muter and bookmark nodes, introduce the pyautogui library to simulate clicks and hotkeys, and run groups in sequence. screen manipulation is involved"
+        },
+        {
+            "author": "ty0x2333",
+            "title": "ComfyUI-Dev-Utils",
+            "id": "dev-utils",
+            "reference": "https://github.com/ty0x2333/ComfyUI-Dev-Utils",
+            "files": [
+                "https://github.com/ty0x2333/ComfyUI-Dev-Utils"
+            ],
+            "install_type": "git-clone",
+            "description": "Execution Time Analysis, Reroute Enhancement, Node collection for developers."
+        },
+        {
+            "author": "lquesada",
+            "title": "ComfyUI-Prompt-Combinator",
+            "id": "prompt-combinator",
+            "reference": "https://github.com/lquesada/ComfyUI-Prompt-Combinator",
+            "files": [
+                "https://github.com/lquesada/ComfyUI-Prompt-Combinator"
+            ],
+            "install_type": "git-clone",
+            "description": "'🔢 Prompt Combinator' is a node that generates all possible combinations of prompts from several lists of strings.\n'🔢 Prompt Combinator Merger' is a node that enables merging the output of two different '🔢 Prompt Combinator' nodes."
+        },
+        {
+            "author": "lquesada",
+            "title": "ComfyUI-Inpaint-CropAndStitch",
+            "id": "crop-and-stitch",
+            "reference": "https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch",
+            "files": [
+                "https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch"
+            ],
+            "install_type": "git-clone",
+            "description": "'✂️ Inpaint Crop' is a node that crops an image before sampling. The context area can be specified via the mask, expand pixels and expand factor or via a separate (optional) mask.\n'✂️ Inpaint Stitch' is a node that stitches the inpainted image back into the original image without altering unmasked areas."
+        },
+        {
+            "author": "randjtw",
+            "title": "advance-aesthetic-score",
+            "reference": "https://github.com/randjtw/advance-aesthetic-score",
+            "files": [
+                "https://github.com/randjtw/advance-aesthetic-score"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Advance Aesthetic Score"
+        },
+        {
+            "author": "FredBill1",
+            "title": "comfyui-fb-utils",
+            "id": "fb-utils",
+            "reference": "https://github.com/FredBill1/comfyui-fb-utils",
+            "files": [
+                "https://github.com/FredBill1/comfyui-fb-utils"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:FBStringJoin, FBStringSplit, FBMultilineStringList, FBMultilineString"
+        },
+        {
+            "author": "jeffy5",
+            "title": "Faceless Node for ComfyUI",
+            "id": "faceless",
+            "reference": "https://github.com/jeffy5/comfyui-faceless-node",
+            "files": [
+                "https://github.com/jeffy5/comfyui-faceless-node"
+            ],
+            "install_type": "git-clone",
+            "description": "A facefusion custom node for ComfyUI. Swap or restore faces for image or video"
+        },
+        {
+            "author": "TaiTair",
+            "title": "Simswap Node for ComfyUI",
+            "id": "simswap",
+            "reference": "https://github.com/TaiTair/comfyui-simswap",
+            "files": [
+                "https://github.com/TaiTair/comfyui-simswap"
+            ],
+            "install_type": "git-clone",
+            "description": "A hacky implementation of Simswap based on [a/Comfyui ReActor Node 0.5.1](https://github.com/Gourieff/comfyui-reactor-node) and [a/Simswap](https://github.com/neuralchen/SimSwap)."
+        },
+        {
+            "author": "fofr",
+            "title": "ComfyUI-HyperSDXL1StepUnetScheduler (ByteDance)",
+            "id": "hypersdxl",
+            "reference": "https://github.com/fofr/ComfyUI-HyperSDXL1StepUnetScheduler",
+            "files": [
+                "https://github.com/fofr/ComfyUI-HyperSDXL1StepUnetScheduler"
+            ],
+            "install_type": "git-clone",
+            "description": "Original author is ByteDance.\nComfyUI sampler for HyperSDXL UNet\nPorted from: [a/https://huggingface.co/ByteDance/Hyper-SD](https://huggingface.co/ByteDance/Hyper-SD)"
+        },
+        {
+            "author": "fofr",
+            "title": "ComfyUI-Prompter-fofrAI",
+            "id": "prompter-fofr",
+            "reference": "https://github.com/fofr/ComfyUI-Prompter-fofrAI",
+            "files": [
+                "https://github.com/fofr/ComfyUI-Prompter-fofrAI"
+            ],
+            "install_type": "git-clone",
+            "description": "A prompt helper for ComfyUI, based on [a/prompter.fofr.ai](https://prompter.fofr.ai)"
+        },
+        {
+            "author": "fofr",
+            "title": "comfyui-fofr-toolkit",
+            "id": "fofr-toolkit",
+            "reference": "https://github.com/fofr/comfyui-fofr-toolkit",
+            "files": [
+                "https://github.com/fofr/comfyui-fofr-toolkit"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Incrementer, Width and height from aspect ratio, Width and height for scaling image to ideal resolutio. A simple set of tooling nodes."
+        },
+        {
+            "author": "fofr",
+            "title": "comfyui-replicate",
+            "reference": "https://github.com/fofr/comfyui-replicate",
+            "files": [
+                "https://github.com/fofr/comfyui-replicate"
+            ],
+            "install_type": "git-clone",
+            "description": "Run [a/Replicate models](https://replicate.com/explore) in ComfyUI."
+        },
+        {
+            "author": "cfreilich",
+            "title": "Virtuoso Nodes for ComfyUI",
+            "id": "virtuoso",
+            "reference": "https://github.com/chrisfreilich/virtuoso-nodes",
+            "files": [
+                "https://github.com/chrisfreilich/virtuoso-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Photoshop type functions and adjustment layers: 30 blend modes, Selective Color, Blend If, Color Balance, Solid Color Images, Black and White, Hue/Saturation, Levels, and RGB Splitting and Merging."
+        },
+        {
+            "author": "da2el-ai",
+            "title": "D2 Steps",
+            "id": "d2steps",
+            "reference": "https://github.com/da2el-ai/ComfyUI-d2-steps",
+            "files": [
+                "https://github.com/da2el-ai/ComfyUI-d2-steps"
+            ],
+            "install_type": "git-clone",
+            "description": "A handy custom node for using Refiner (switching to a different checkpoint midway) When you specify the end of the base checkpoint, you can extract refiner_start which is end + 1. The output is fixed as an INT, so it can be passed to the handy custom node, Anything Everywhere? Since it only outputs a numerical value, it can also be used for other purposes."
+        },
+        {
+            "author": "da2el-ai",
+            "title": "D2 Size Selector",
+            "id": "size-selector",
+            "reference": "https://github.com/da2el-ai/ComfyUI-d2-size-selector",
+            "files": [
+                "https://github.com/da2el-ai/ComfyUI-d2-size-selector"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a custom node that allows you to easily call up and set image size presets. Settings can be made by editing the included config.yaml. It is almost identical to Comfyroll Studio's CR AspectRatio. I created it because I wanted to easily edit the presets."
+        },
+        {
+            "author": "da2el-ai",
+            "title": "D2 Send Eagle",
+            "id": "d2-send-eagle",
+            "reference": "https://github.com/da2el-ai/ComfyUI-d2-send-eagle",
+            "files": [
+                "https://github.com/da2el-ai/ComfyUI-d2-send-eagle"
+            ],
+            "install_type": "git-clone",
+            "description": "Send images generated by ComfyUI to Eagle image management software"
+        },
+        {
+            "author": "nat-chan",
+            "title": "ComfyUI-Transceiver📡",
+            "id": "transceiver",
+            "reference": "https://github.com/nat-chan/comfyui-transceiver",
+            "files": [
+                "https://github.com/nat-chan/comfyui-transceiver"
+            ],
+            "install_type": "git-clone",
+            "description": "Transceiver is a python library that swiftly exchanges fundamental data structures, specifically numpy arrays, between processes, optimizing AI inference tasks that utilize ComfyUI."
+        },
+        {
+            "author": "nat-chan",
+            "title": "ComfyUI-graphToPrompt",
+            "id": "graph2prompt",
+            "reference": "https://github.com/nat-chan/ComfyUI-graphToPrompt",
+            "files": [
+                "https://github.com/nat-chan/ComfyUI-graphToPrompt"
+            ],
+            "install_type": "git-clone",
+            "description": "workflow.json -> workflow_api.json"
+        },
+        {
+            "author": "web3nomad",
+            "title": "ComfyUI Invisible Watermark",
+            "id": "invisible-watermark",
+            "reference": "https://github.com/web3nomad/ComfyUI_Invisible_Watermark",
+            "files": [
+                "https://github.com/web3nomad/ComfyUI_Invisible_Watermark"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: InvisibleWatermarkEncode"
+        },
+        {
+            "author": "GentlemanHu",
+            "title": "ComfyUI Suno API",
+            "id": "suno-api",
+            "reference": "https://github.com/GentlemanHu/ComfyUI-SunoAI",
+            "files": [
+                "https://github.com/GentlemanHu/ComfyUI-SunoAI"
+            ],
+            "install_type": "git-clone",
+            "description": "An unofficial Python library for [a/Suno AI](https://www.suno.ai/) API"
+        },
+        {
+            "author": "TemryL",
+            "title": "ComfyUI-IDM-VTON [WIP]",
+            "id": "idm-vton",
+            "reference": "https://github.com/TemryL/ComfyUI-IDM-VTON",
+            "files": [
+                "https://github.com/TemryL/ComfyUI-IDM-VTON"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI adaptation of [a/IDM-VTON](https://github.com/yisol/IDM-VTON) for virtual try-on."
+        },
+        {
+            "author": "NStor",
+            "title": "ComfyUI-RUS localization",
+            "reference": "https://github.com/Nestorchik/NStor-ComfyUI-Translation",
+            "files": [
+                "https://github.com/Nestorchik/NStor-ComfyUI-Translation"
+            ],
+            "install_type": "git-clone",
+            "description": "Russian localization of ComfyUI, ComafyUI-Manager & more..."
+        },
+        {
+            "author": "jax-explorer",
+            "title": "fast_video_comfyui",
+            "reference": "https://github.com/jax-explorer/fast_video_comfyui",
+            "files": [
+                "https://github.com/jax-explorer/fast_video_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:FastImageListToImageBatch"
+        },
+        {
+            "author": "sugarkwork",
+            "title": "comfyui_cohere",
+            "id": "cohere",
+            "reference": "https://github.com/sugarkwork/comfyui_cohere",
+            "files": [
+                "https://github.com/sugarkwork/comfyui_cohere"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a node for using cohere (Command R+) from ComfyUI. You need to edit the startup .bat file of ComfyUI and describe the API key obtained from Cohere as follows."
+        },
+        {
+            "author": "alessandrozonta",
+            "title": "Bounding Box Crop Node for ComfyUI",
+            "id": "bbox-crop",
+            "reference": "https://github.com/alessandrozonta/ComfyUI-CenterNode",
+            "files": [
+                "https://github.com/alessandrozonta/ComfyUI-CenterNode"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension contains a custom node for ComfyUI. The node, called 'Bounding Box Crop', is designed to compute the top-left coordinates of a cropped bounding box based on input coordinates and dimensions of the final cropped image. It does so computing the center of the cropping area and then computing where the top-left coordinates would be."
+        },
+        {
+            "author": "alessandrozonta",
+            "title": "Save Layers Node for ComfyUI",
+            "id": "layers",
+            "reference": "https://github.com/alessandrozonta/ComfyUI-Layers",
+            "files": [
+                "https://github.com/alessandrozonta/ComfyUI-Layers"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node for ComfyUI allows you to create layers of an image based on input masks and save them into a PSD file."
+        },
+        {
+            "author": "alessandrozonta",
+            "title": "OpenPose Node",
+            "id": "openpose-alessandrozonta",
+            "reference": "https://github.com/alessandrozonta/ComfyUI-OpenPose",
+            "files": [
+                "https://github.com/alessandrozonta/ComfyUI-OpenPose"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension contains a custom node for ComfyUI. The node, called 'Bounding Box Crop', is designed to compute the top-left coordinates of a cropped bounding box based on input coordinates and dimensions of the final cropped image. It does so computing the center of the cropping area and then computing where the top-left coordinates would be."
+        },
+        {
+            "author": "curiousjp",
+            "title": "ComfyUI-MaskBatchPermutations",
+            "id": "maskbatch-permutations",
+            "reference": "https://github.com/curiousjp/ComfyUI-MaskBatchPermutations",
+            "files": [
+                "https://github.com/curiousjp/ComfyUI-MaskBatchPermutations"
+            ],
+            "install_type": "git-clone",
+            "description": "Permutes a mask batch to present possible additive combinations. Passing a mask batch (e.g. out of [a/SEGS to Mask Batch](https://github.com/ltdrdata/ComfyUI-Impact-Pack)) will return a new mask batch representing all the possible combinations of the included masks. So, a mask batch with two mask sections, 'A' and 'B', will return a batch containing an empty mask, an empty mask & A, an empty mask & B, and an empty mask & A & B."
+        },
+        {
+            "author": "BAIS1C",
+            "title": "ComfyUI_RSS_Feed_Reader",
+            "id": "rssfeed",
+            "reference": "https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader",
+            "files": [
+                "https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader"
+            ],
+            "install_type": "git-clone",
+            "description": "A Simple Python RSS Feed Reader to create Prompts in Comfy UI"
+        },
+        {
+            "author": "runtime44",
+            "title": "Runtime44 ComfyUI Nodes",
+            "reference": "https://github.com/runtime44/comfyui_r44_nodes",
+            "files": [
+                "https://github.com/runtime44/comfyui_r44_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Runtime44Upscaler, Runtime44ColorMatch, Runtime44DynamicKSampler, Runtime44ImageOverlay, Runtime44ImageResizer, Runtime44ImageToNoise, Runtime44MaskSampler, Runtime44TiledMaskSampler, Runtime44IterativeUpscaleFactor, Runtime44ImageEnhance, Runtime44FilmGrain"
+        },
+        {
+            "author": "osiworx",
+            "title": "ComfyUI_Prompt-Quill",
+            "reference": "https://github.com/osi1880vr/prompt_quill_comfyui",
+            "files": [
+                "https://github.com/osi1880vr/prompt_quill_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Use Prompt Quill in Comfyui"
+        },
+        {
+            "author": "philz1337x",
+            "title": "✨ Clarity AI - Creative Image Upscaler and Enhancer for ComfyUI",
+            "reference": "https://github.com/philz1337x/ComfyUI-ClarityAI",
+            "files": [
+                "https://github.com/philz1337x/ComfyUI-ClarityAI"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/Clarity AI](https://clarityai.cc) is a creative image enhancer and is able to upscale to high resolution. [w/NOTE: This is a Magnific AI alternative for ComfyUI.] \nCreate an API key on [a/ClarityAI.cc/api](https://clarityai.cc/api) and add to environment variable 'CAI_API_KEY'\nAlternatively you can write your API key to file 'cai_platform_key.txt'\nYou can also use and/or override the above by entering your API key in the 'api_key_override' field of the node."
+        },
+        {
+            "author": "KoreTeknology",
+            "title": "ComfyUI Universal Styler",
+            "id": "universal-styler",
+            "reference": "https://github.com/KoreTeknology/ComfyUI-Universal-Styler",
+            "files": [
+                "https://github.com/KoreTeknology/ComfyUI-Universal-Styler"
+            ],
+            "install_type": "git-clone",
+            "description": "A research Node based project on Artificial Intelligence using ComfyUI visual editor with Stable diffusion Local processing focus in mind. This custom node is intended to serve the purpose to offer a large palette of prompting scenrarios, based on Public Checkpoint Models OR/AND Private custom Models and LoRas. It includes an integrated learning machine process as well as a set of workflows."
+        },
+        {
+            "author": "ZeDarkAdam",
+            "title": "ComfyUI-Embeddings-Tools",
+            "id": "embeddings-tools",
+            "reference": "https://github.com/ZeDarkAdam/ComfyUI-Embeddings-Tools",
+            "files": [
+                "https://github.com/ZeDarkAdam/ComfyUI-Embeddings-Tools"
+            ],
+            "install_type": "git-clone",
+            "description": "EmbeddingsNameLoader, EmbendingList"
+        },
+        {
+            "author": "chenpx976",
+            "title": "ComfyUI-RunRunRun",
+            "id": "runrunrun",
+            "reference": "https://github.com/chenpx976/ComfyUI-RunRunRun",
+            "files": [
+                "https://github.com/chenpx976/ComfyUI-RunRunRun"
+            ],
+            "install_type": "git-clone",
+            "description": "add http api http://127.0.0.1:8188/comfyui-run/run use in other llm project."
+        },
+        {
+            "author": "githubYiheng",
+            "title": "ComfyUI_GetFileNameFromURL",
+            "id": "getfilename-from-url",
+            "reference": "https://github.com/githubYiheng/ComfyUI_GetFileNameFromURL",
+            "files": [
+                "https://github.com/githubYiheng/ComfyUI_GetFileNameFromURL"
+            ],
+            "install_type": "git-clone",
+            "description": "GetFileNameFromURL is a ComfyUI custom node that extracts the filename from a URL. It can handle various URLs and is capable of handling redirects."
+        },
+        {
+            "author": "githubYiheng",
+            "title": "comfyui_kmeans_filter",
+            "id": "kmeans-filter",
+            "reference": "https://github.com/githubYiheng/comfyui_kmeans_filter",
+            "files": [
+                "https://github.com/githubYiheng/comfyui_kmeans_filter"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Apply Kmeans Filter"
+        },
+        {
+            "author": "githubYiheng",
+            "title": "ComfyUI_Change_IMAGE_BOREDER",
+            "id": "change-image-border",
+            "reference": "https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER",
+            "files": [
+                "https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Change Image Border"
+        },
+        {
+            "author": "githubYiheng",
+            "title": "comfyui_meanshift_filter",
+            "id": "meanshift-filter",
+            "reference": "https://github.com/githubYiheng/comfyui_meanshift_filter",
+            "files": [
+                "https://github.com/githubYiheng/comfyui_meanshift_filter"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Apply Meanshift Filter"
+        },
+        {
+            "author": "githubYiheng",
+            "title": "comfyui_private_postprocessor",
+            "id": "githubyiheng-private-postprocessor",
+            "reference": "https://github.com/githubYiheng/comfyui_private_postprocessor",
+            "files": [
+                "https://github.com/githubYiheng/comfyui_private_postprocessor"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Private ImageCPostprocessor"
+        },
+        {
+            "author": "Fihade",
+            "title": "IC-Light-ComfyUI-Node",
+            "reference": "https://github.com/Fihade/IC-Light-ComfyUI-Node",
+            "files": [
+                "https://github.com/Fihade/IC-Light-ComfyUI-Node"
+            ],
+            "install_type": "git-clone",
+            "description": "Original repo: [a/https://github.com/lllyasviel/IC-Light](https://github.com/lllyasviel/IC-Light)\nModels: [a/https://huggingface.co/lllyasviel/ic-light/tree/main](https://huggingface.co/lllyasviel/ic-light/tree/main), [a/https://huggingface.co/digiplay/Photon_v1/tree/main](https://huggingface.co/digiplay/Photon_v1/tree/main)\nmodels go into ComfyUI/models/unet"
+        },
+        {
+            "author": "KewkLW",
+            "title": "ComfyUI-kewky_tools",
+            "id": "kewky-tools",
+            "reference": "https://github.com/KewkLW/ComfyUI-kewky_tools",
+            "files": [
+                "https://github.com/KewkLW/ComfyUI-kewky_tools"
+            ],
+            "install_type": "git-clone",
+            "description": "text_append_node, vramdebugplus, tensordebugplus, animation_schedule_output"
+        },
+        {
+            "author": "ITurchenko",
+            "title": "ComfyUI-SizeFromArray",
+            "id": "sizefromarray",
+            "reference": "https://github.com/ITurchenko/ComfyUI-SizeFromArray",
+            "files": [
+                "https://github.com/ITurchenko/ComfyUI-SizeFromArray"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SizeFromArray"
+        },
+        {
+            "author": "Suplex",
+            "title": "Suplex Misc ComfyUI Nodes",
+            "id": "suplex",
+            "reference": "https://github.com/saftle/suplex_comfy_nodes",
+            "files": [
+                "https://github.com/saftle/suplex_comfy_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Misc Nodes: ControlNet Selector Node, Load Optional ControlNet Model, Diffusers Selector, Save Image JPG No Meta, Multi Input Variable Rewrite"
+        },
+        {
+            "author": "mephisto83",
+            "title": "petty-paint-comfyui-node",
+            "id": "petty-paint",
+            "reference": "https://github.com/mephisto83/petty-paint-comfyui-node",
+            "files": [
+                "https://github.com/mephisto83/petty-paint-comfyui-node"
+            ],
+            "install_type": "git-clone",
+            "description": "An integration between comfy ui and petty paint"
+        },
+        {
+            "author": "fsdymy1024",
+            "title": "ComfyUI_fsdymy",
+            "id": "fsdymy",
+            "reference": "https://github.com/fsdymy1024/ComfyUI_fsdymy",
+            "files": [
+                "https://github.com/fsdymy1024/ComfyUI_fsdymy"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Save Image Without Metadata"
+        },
+        {
+            "author": "ray",
+            "title": "Light Gradient for ComfyUI",
+            "id": "light-gradient",
+            "reference": "https://github.com/huagetai/ComfyUI_LightGradient",
+            "files": [
+                "https://github.com/huagetai/ComfyUI_LightGradient"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image Gradient,Mask Gradient"
+        },
+        {
+            "author": "ray",
+            "title": "comfyui's gaffer(ComfyUI native implementation of IC-Light. )",
+            "id": "gaffer",
+            "reference": "https://github.com/huagetai/ComfyUI-Gaffer",
+            "files": [
+                "https://github.com/huagetai/ComfyUI-Gaffer"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Load ICLight Model,Apply ICLight,Simple Light Source,Calculate Normal Map"
+        },
+        {
+            "author": "YFG",
+            "title": "😸 YFG Comical Nodes",
+            "id": "comical",
+            "reference": "https://github.com/gonzalu/ComfyUI_YFG_Comical",
+            "files": [
+                "https://github.com/gonzalu/ComfyUI_YFG_Comical"
+            ],
+            "install_type": "git-clone",
+            "description": "Image Historgram Generator - Outputs a set of images displaying the Histogram of the input image. Nodes: img2histograms, img2histogramsSelf"
+        },
+        {
+            "author": "ruiqutech",
+            "title": "RuiquNodes for ComfyUI",
+            "id": "RuiquNodes",
+            "reference": "https://github.com/ruiqutech/ComfyUI-RuiquNodes",
+            "files": [
+                "https://github.com/ruiqutech/ComfyUI-RuiquNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes of EvaluateMultiple1, EvaluateMultiple3...\nSupport the execution of any fragment of Python code, generating multiple outputs from multiple inputs."
+        },
+        {
+            "author": "teward",
+            "title": "ComfyUI-Helper-Nodes",
+            "id": "helper-nodes",
+            "reference": "https://github.com/teward/ComfyUI-Helper-Nodes",
+            "files": [
+                "https://github.com/teward/ComfyUI-Helper-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: HelperNodes_MultilineStringLiteral, HelperNodes_StringLiteral, HelperNodes_Steps, HelperNodes_CfgScale, HelperNodes_WidthHeight, HelperNodes_SchedulerSelector, HelperNodes_SamplerSelector, ..."
+        },
+        {
+            "author": "fmatray",
+            "title": "ComfyUI_BattlemapGrid",
+            "id": "battlemap-grid",
+            "reference": "https://github.com/fmatray/ComfyUI_BattlemapGrid",
+            "files": [
+                "https://github.com/fmatray/ComfyUI_BattlemapGrid"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes for ComfyUI in order to generate battelmaps"
+        },
+        {
+            "author": "christian-byrne",
+            "title": "img2txt-comfyui-nodes",
+            "id": "img2txt-nodes",
+            "reference": "https://github.com/christian-byrne/img2txt-comfyui-nodes",
+            "files": [
+                "https://github.com/christian-byrne/img2txt-comfyui-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Get general description or specify questions to ask about images (medium, art style, background, etc.). Supports Chinese 🇨🇳 questions via MiniCPM model."
+        },
+        {
+            "author": "christian-byrne",
+            "title": "Img2color - Extract Colors from Image",
+            "id": "img2colors-comfyui-node",
+            "reference": "https://github.com/christian-byrne/img2colors-comfyui-node",
+            "files": [
+                "https://github.com/christian-byrne/img2colors-comfyui-node"
+            ],
+            "install_type": "git-clone",
+            "description": "Extract the most common colors from an image, up to any number. Convert colors to plain English names using various color naming systems."
+        },
+        {
+            "author": "christian-byrne",
+            "title": "Node - Size Matcher",
+            "id": "sizematcher",
+            "reference": "https://github.com/christian-byrne/size-match-compositing-nodes",
+            "files": [
+                "https://github.com/christian-byrne/size-match-compositing-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Match image/mask sizes"
+        },
+        {
+            "author": "christian-byrne",
+            "title": "comfyui-search-navigation",
+            "reference": "https://github.com/christian-byrne/comfyui-search-navigation",
+            "files": [
+                "https://github.com/christian-byrne/comfyui-search-navigation"
+            ],
+            "install_type": "git-clone",
+            "description": "Search navigation extension."
+        },
+        {
+            "author": "christian-byrne",
+            "title": "audio-separation-nodes-comfyui",
+            "reference": "https://github.com/christian-byrne/audio-separation-nodes-comfyui",
+            "files": [
+                "https://github.com/christian-byrne/audio-separation-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Separate audio track into stems (vocals, bass, drums, other). Along with tools to recombine, tempo match, slice/crop audio."
+        },
+        {
+            "author": "christian-byrne",
+            "title": "comfyui-default-values-manager",
+            "reference": "https://github.com/christian-byrne/comfyui-default-values-manager",
+            "files": [
+                "https://github.com/christian-byrne/comfyui-default-values-manager"
+            ],
+            "install_type": "git-clone",
+            "description": "comfyui-default-values-manager"
+        },
+        {
+            "author": "christian-byrne",
+            "title": "youtube-dl-comfyui",
+            "reference": "https://github.com/christian-byrne/youtube-dl-comfyui",
+            "files": [
+                "https://github.com/christian-byrne/youtube-dl-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Download youtube videos/playlists"
+        },
+        {
+            "author": "oztrkoguz",
+            "title": "ComfyUI StoryCreater",
+            "id": "storycreater",
+            "reference": "https://github.com/oztrkoguz/ComfyUI_StoryCreator",
+            "files": [
+                "https://github.com/oztrkoguz/ComfyUI_StoryCreator"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:story_sampler_simple, text2, kosmos2_sampler.\nI created a dataset for generating short stories [a/Short-Story](https://huggingface.co/datasets/oztrkoguz/Short-Story) and used it to fine-tune my own model using Phi-3."
+        },
+        {
+            "author": "GraftingRayman",
+            "title": "GraftingRayman",
+            "id": "graftingrayman",
+            "reference": "https://github.com/GraftingRayman/ComfyUI_GraftingRayman",
+            "files": [
+                "https://github.com/GraftingRayman/ComfyUI_GraftingRayman"
+            ],
+            "install_type": "git-clone",
+            "description": "Image Manipulation Nodes"
+        },
+        {
+            "author": "royceschultz",
+            "title": "ComfyUI-Notifications",
+            "reference": "https://github.com/royceschultz/ComfyUI-Notifications",
+            "files": [
+                "https://github.com/royceschultz/ComfyUI-Notifications"
+            ],
+            "install_type": "git-clone",
+            "description": "Send notifications when a workflow completes."
+        },
+        {
+            "author": "katalist-ai",
+            "title": "comfyUI-nsfw-detection",
+            "id": "nsfw-detection",
+            "reference": "https://github.com/katalist-ai/comfyUI-nsfw-detection",
+            "files": [
+                "https://github.com/katalist-ai/comfyUI-nsfw-detection"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: NudenetDetector"
+        },
+        {
+            "author": "kaanyalova",
+            "title": "Extended Image Formats for ComfyUI",
+            "id": "extended-image-format",
+            "reference": "https://github.com/kaanyalova/ComfyUI_ExtendedImageFormats",
+            "files": [
+                "https://github.com/kaanyalova/ComfyUI_ExtendedImageFormats"
+            ],
+            "install_type": "git-clone",
+            "description": "Adds a custom node for saving images in webp, jpeg, avif, jxl (no metadata) and supports loading workflows from saved images"
+        },
+        {
+            "author": "badayvedat",
+            "title": "ComfyUI-fal-Connector",
+            "id": "fal",
+            "reference": "https://github.com/badayvedat/ComfyUI-fal-Connector",
+            "files": [
+                "https://github.com/badayvedat/ComfyUI-fal-Connector"
+            ],
+            "install_type": "git-clone",
+            "description": "The ComfyUI-fal-Connector is a tool designed to provide an integration between ComfyUI and fal. This extension allows users to execute their ComfyUI workflows directly on [a/fal.ai](https://fal.ai/). This enables users to leverage the computational power and resources provided by fal.ai for running their ComfyUI workflows."
+        },
+        {
+            "author": "TheMistoAI",
+            "title": "Anyline",
+            "id": "anyline",
+            "reference": "https://github.com/TheMistoAI/ComfyUI-Anyline",
+            "files": [
+                "https://github.com/TheMistoAI/ComfyUI-Anyline"
+            ],
+            "install_type": "git-clone",
+            "description": "A Fast, Accurate, and Detailed Line Detection Preprocessor.\nAnyline is a ControlNet line preprocessor that accurately extracts object edges, image details, and textual content from most images. Users can input any type of image to quickly obtain line drawings with clear edges, sufficient detail preservation, and high fidelity text, which are then used as input for conditional generation in Stable Diffusion."
+        },
+        {
+            "author": "mbrostami",
+            "title": "ComfyUI-TITrain",
+            "id": "titrain",
+            "reference": "https://github.com/mbrostami/ComfyUI-TITrain",
+            "files": [
+                "https://github.com/mbrostami/ComfyUI-TITrain"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:TextualInversionTrainingSDXL, TextualInversionTraining"
+        },
+        {
+            "author": "ArcherFMY",
+            "title": "Diffusion360_ComfyUI",
+            "id": "diffusion360",
+            "reference": "https://github.com/ArcherFMY/Diffusion360_ComfyUI",
+            "files": [
+                "https://github.com/ArcherFMY/Diffusion360_ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI plugin of [a/SD-T2I-360PanoImage](https://github.com/ArcherFMY/SD-T2I-360PanoImage).\nbase t2i-pipeline for generating 512*1024 panorama image from text input"
+        },
+        {
+            "author": "Makeezi",
+            "title": "ComfyUI-promptLAB",
+            "id": "promptlab",
+            "reference": "https://github.com/Makeezi/ComfyUI-promptLAB",
+            "files": [
+                "https://github.com/Makeezi/ComfyUI-promptLAB"
+            ],
+            "install_type": "git-clone",
+            "description": "connection nodes for api requests, fully supports promptLAB"
+        },
+        {
+            "author": "portu-sim",
+            "title": "comfyui_bmab",
+            "id": "bmab",
+            "reference": "https://github.com/portu-sim/comfyui_bmab",
+            "files": [
+                "https://github.com/portu-sim/comfyui_bmab"
+            ],
+            "install_type": "git-clone",
+            "description": "BMAB for ComfyUI\n[w/comfyui-bmab is changed to comfyui_bmab. Remove 'custom_nodes/comyui-bmab' in your directory and then reinstall this.]"
+        },
+        {
+            "author": "griptape-ai",
+            "title": "ComfyUI Griptape Nodes",
+            "id": "griptape",
+            "reference": "https://github.com/griptape-ai/ComfyUI-Griptape",
+            "files": [
+                "https://github.com/griptape-ai/ComfyUI-Griptape"
+            ],
+            "install_type": "git-clone",
+            "description": "This repo creates a series of nodes that enable you to utilize the [a/Griptape Python Framework](https://github.com/griptape-ai/griptape/) with ComfyUI, integrating AI into your workflow. This repo creates a series of nodes that enable you to utilize the Griptape Python Framework with ComfyUI, integrating AI into your workflow."
+        },
+        {
+            "author": "cavinHuang",
+            "title": "comfyui-nodes-docs",
+            "id": "nodedocs",
+            "reference": "https://github.com/CavinHuang/comfyui-nodes-docs",
+            "files": [
+                "https://github.com/CavinHuang/comfyui-nodes-docs"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a plugin for displaying documentation for each comfyui node. "
+        },
+        {
+            "author": "icesun963",
+            "title": "HFDownLoad Node for ComfyUI",
+            "id": "HFDownLoad-ic",
+            "reference": "https://github.com/icesun963/ComfyUI_HFDownLoad",
+            "files": [
+                "https://github.com/icesun963/ComfyUI_HFDownLoad"
+            ],
+            "install_type": "git-clone",
+            "description": "Download the model from huggingface and put it in any directory."
+        },
+        {
+            "author": "conquestace",
+            "title": "Image Uploader",
+            "id": "image-uploader",
+            "reference": "https://github.com/conquestace/ComfyUI-ImageUploader",
+            "files": [
+                "https://github.com/conquestace/ComfyUI-ImageUploader"
+            ],
+            "install_type": "git-clone",
+            "description": "Upload images automatically to image hosting sites."
+        },
+        {
+            "author": "chandlergis",
+            "title": "ComfyUI-IMG_Query",
+            "id": "img-query",
+            "reference": "https://github.com/chandlergis/ComfyUI-IMG_Query",
+            "files": [
+                "https://github.com/chandlergis/ComfyUI-IMG_Query"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ImageRequestNode"
+        },
+        {
+            "author": "Isaac Emesowum",
+            "title": "Isaac's Nodes",
+            "id": "isaac",
+            "reference": "https://github.com/iemesowum/ComfyUI_IsaacNodes",
+            "files": [
+                "https://github.com/iemesowum/ComfyUI_IsaacNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension offers automatic drums extraction from audio files, as well as a few helper nodes to support my audio synchronization AnimateDiff workflows."
+        },
+        {
+            "author": "fexploit",
+            "title": "ComfyUI-AutoTrimBG",
+            "id": "autotrimbg",
+            "reference": "https://github.com/fexploit/ComfyUI-AutoTrimBG",
+            "files": [
+                "https://github.com/fexploit/ComfyUI-AutoTrimBG"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-AutoCropBgTrim is a powerful tool designed to automatically clean up the background of your images. This tool trims unnecessary spaces and pixels, leaving only the main subject of the image. It generates both a mask and an image output, making it easy to focus on the essential elements. Perfect for enhancing your photos and preparing them for professional use."
+        },
+        {
+            "author": "fexploit",
+            "title": "ComfyUI-AutoLabel",
+            "id": "autolabel",
+            "reference": "https://github.com/fexploit/ComfyUI-AutoLabel",
+            "files": [
+                "https://github.com/fexploit/ComfyUI-AutoLabel"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-AutoLabel is a custom node for ComfyUI that uses BLIP (Bootstrapping Language-Image Pre-training) to generate detailed descriptions of the main object in an image. This node leverages the power of BLIP to provide accurate and context-aware captions for images."
+        },
+        {
+            "author": "fexploit",
+            "title": "ComfyUI-Classifier",
+            "id": "classifier",
+            "reference": "https://github.com/fexploit/ComfyUI-Classifier",
+            "files": [
+                "https://github.com/fexploit/ComfyUI-Classifier"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Classifier is a custom node for ComfyUI that uses a zero-shot classification model to classify text inputs based on a set of candidate labels. This node leverages the power of Hugging Face Transformers to provide accurate and flexible text classification."
+        },
+        {
+            "author": "linshier",
+            "title": "comfyui-remote-tools",
+            "id": "remote-tools",
+            "reference": "https://github.com/linshier/comfyui-remote-tools",
+            "files": [
+                "https://github.com/linshier/comfyui-remote-tools"
+            ],
+            "install_type": "git-clone",
+            "description": "Node:SendBase64ToRemote. To connect to another ComfyUI server."
+        },
+        {
+            "author": "Fantaxico",
+            "title": "ComfyUI-GCP-Storage",
+            "id": "gcp-storage",
+            "reference": "https://github.com/Fantaxico/ComfyUI-GCP-Storage",
+            "files": [
+                "https://github.com/Fantaxico/ComfyUI-GCP-Storage"
+            ],
+            "install_type": "git-clone",
+            "description": "Node:GCP Storage Node. Support google-cloud-storage."
+        },
+        {
+            "author": "daniabib",
+            "title": "ComfyUI ProPainter Nodes",
+            "id": "propainter",
+            "reference": "https://github.com/daniabib/ComfyUI_ProPainter_Nodes",
+            "files": [
+                "https://github.com/daniabib/ComfyUI_ProPainter_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI custom node implementation of [a/ProPainter](https://github.com/sczhou/ProPainter) framework for video inpainting."
+        },
+        {
+            "author": "iFREEGROUP",
+            "title": "comfyui-undistort",
+            "id": "undistort",
+            "reference": "https://github.com/iFREEGROUP/comfyui-undistort",
+            "files": [
+                "https://github.com/iFREEGROUP/comfyui-undistort"
+            ],
+            "install_type": "git-clone",
+            "description": "Node:Load Checkerboard Images for Calibrate Camera, Matrix and distortion coefficient to text, Undistort"
+        },
+        {
+            "author": "Auttasak-L",
+            "title": "ComfyUI-ImageCropper",
+            "id": "imagecropper",
+            "reference": "https://github.com/Auttasak-L/ComfyUI-ImageCropper",
+            "files": [
+                "https://github.com/Auttasak-L/ComfyUI-ImageCropper"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image cropping tool"
+        },
+        {
+            "author": "muzi12888",
+            "title": "PoseKeypoint Mask",
+            "id": "posekeypoint-mask",
+            "reference": "https://github.com/muzi12888/ComfyUI-PoseKeypoint-Mask",
+            "files": [
+                "https://github.com/muzi12888/ComfyUI-PoseKeypoint-Mask"
+            ],
+            "install_type": "git-clone",
+            "description": "Convert PoseKeypoint to mask, please refer to the example workflow for usage instructions."
+        },
+        {
+            "author": "muzi12888",
+            "title": "m9-prompts-comfyui",
+            "id": "m9-prompts-comfyui",
+            "reference": "https://github.com/MarcusNyne/m9-prompts-comfyui",
+            "files": [
+                "https://github.com/MarcusNyne/m9-prompts-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes for modifying a prompt to create prompt variations.\nScramblePrompts [m9]: Reorder prompts, remove prompts, modify weights\nTweakWeights [m9]: Modify the weights of prompts matching keywords"
+        },
+        {
+            "author": "xuhongming251",
+            "title": "ComfyUI-GPEN",
+            "id": "gpen",
+            "reference": "https://github.com/xuhongming251/ComfyUI-GPEN",
+            "files": [
+                "https://github.com/xuhongming251/ComfyUI-GPEN"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:FaceEnhancement. Based on modelscope pipeline."
+        },
+        {
+            "author": "xuhongming251",
+            "title": "ComfyUI-MuseTalkUtils",
+            "id": "musetalk-utils",
+            "reference": "https://github.com/xuhongming251/ComfyUI-MuseTalkUtils",
+            "files": [
+                "https://github.com/xuhongming251/ComfyUI-MuseTalkUtils"
+            ],
+            "install_type": "git-clone",
+            "description": "MuseTalk ComfyUI Preprocess and Postprocess Nodes"
+        },
+        {
+            "author": "Thomas Ward",
+            "title": "TW-CUI-Util",
+            "id": "tw-cui-util",
+            "reference": "https://github.com/TW-CUI/TW-CUI-Util",
+            "files": [
+                "https://github.com/TW-CUI/TW-CUI-Util"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of custom nodes to help with saving images, providing generation parameters, static literal nodes, and other useful nodes."
+        },
+        {
+            "author": "lks-ai",
+            "title": "ComfyUI AnyNode: Any Node you ask for",
+            "id": "anynode",
+            "reference": "https://github.com/lks-ai/anynode",
+            "files": [
+                "https://github.com/lks-ai/anynode"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: AnyNode. Nodes that can be anything you ask. Auto-Generate functional nodes using LLMs. Create impossible workflows. API Compatibility: (OpenAI, LocalLLMs, Gemini)."
+        },
+        {
+            "author": "lks-ai",
+            "title": "ComfyUI Stable Audio Open 1.0 Sampler",
+            "id": "stableaudiosampler",
+            "reference": "https://github.com/lks-ai/ComfyUI-StableAudioSampler",
+            "files": [
+                "https://github.com/lks-ai/ComfyUI-StableAudioSampler"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: StableAudioSampler. Wraps the new Stable Audio Open Model in the sampler that dropped Jun 5th. See Github for Features"
+        },
+        {
+            "author": "SayanoAI",
+            "title": "Comfy-RVC",
+            "id": "sayano-rvc",
+            "reference": "https://github.com/SayanoAI/Comfy-RVC",
+            "files": [
+                "https://github.com/SayanoAI/Comfy-RVC"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI custom nodes for RVC related inference and image generation"
+        },
+        {
+            "author": "nirbhay-faaya",
+            "title": "ImgProcessing_ComfyUI",
+            "id": "imgprocessing",
+            "reference": "https://github.com/nirbhay-faaya/ImgProcessing_ComfyUI",
+            "files": [
+                "https://github.com/nirbhay-faaya/ImgProcessing_ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom Image processing ComfyUI Nodes"
+        },
+        {
+            "author": "larsupb",
+            "title": "LoRA Power-Merger ComfyUI",
+            "id": "lora-powermerger",
+            "reference": "https://github.com/larsupb/LoRA-Merger-ComfyUI",
+            "files": [
+                "https://github.com/larsupb/LoRA-Merger-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "An extension for merging LoRAs. Offers a wide range of LoRA merge techniques (including dare) and XY plots. XY plots require efficiency nodes."
+        },
+        {
+            "author": "Mason-McGough",
+            "title": "Mosaica",
+            "id": "mosaica",
+            "reference": "https://github.com/Mason-McGough/ComfyUI-Mosaica",
+            "files": [
+                "https://github.com/Mason-McGough/ComfyUI-Mosaica"
+            ],
+            "install_type": "git-clone",
+            "description": "Create colorful mosaic images in ComfyUI by computing label images and applying lookup tables."
+        },
+        {
+            "author": "cuongloveit",
+            "title": "comfy_http_request",
+            "reference": "https://github.com/cuongloveit/comfy_http_request",
+            "files": [
+                "https://github.com/cuongloveit/comfy_http_request"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Send Http Request. You can use this node to save full size images through the websocket."
+        },
+        {
+            "author": "Ron-Digital",
+            "title": "ComfyUI-SceneGenerator",
+            "id": "scenegenerator",
+            "reference": "https://github.com/Ron-Digital/ComfyUI-SceneGenerator",
+            "files": [
+                "https://github.com/Ron-Digital/ComfyUI-SceneGenerator"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-SceneGenerator is a ComfyUI plugin used to generate scene preview photos from JSON files. This plugin creates scenes based on the provided JSON configuration and produces two different image outputs: one containing only the products and the other containing both the products and the props."
+        },
+        {
+            "author": "xliry",
+            "title": "ComfyUI_SendDiscord",
+            "id": "senddiscord",
+            "reference": "https://github.com/xliry/ComfyUI_SendDiscord",
+            "files": [
+                "https://github.com/xliry/ComfyUI_SendDiscord"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Send Video to Discord"
+        },
+        {
+            "author": "xliry",
+            "title": "color2rgb",
+            "reference": "https://github.com/vxinhao/color2rgb",
+            "files": [
+                "https://github.com/vxinhao/color2rgb/raw/main/color2rgb.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:color2RGB"
+        },
+        {
+            "author": "moyi7712",
+            "title": "ComfyUI_Seamless_Patten",
+            "id": "seamless-pattern",
+            "reference": "https://github.com/moyi7712/ComfyUI_Seamless_Patten",
+            "files": [
+                "https://github.com/moyi7712/ComfyUI_Seamless_Patten"
+            ],
+            "install_type": "git-clone",
+            "description": "It make any text2image create seamless patten"
+        },
+        {
+            "author": "nirex0",
+            "title": "ComfyUI_pytorch_openpose",
+            "id": "pytorch-openpose",
+            "reference": "https://github.com/nirex0/ComfyUI_pytorch_openpose",
+            "files": [
+                "https://github.com/nirex0/ComfyUI_pytorch_openpose"
+            ],
+            "install_type": "git-clone",
+            "description": "All Credits go to the original Repo: [a/Hzzone/pytorch-openpose](https://github.com/Hzzone/pytorch-openpose)."
+        },
+        {
+            "author": "AshMartian",
+            "title": "Dir Gir",
+            "id": "dir-gir",
+            "reference": "https://github.com/AshMartian/ComfyUI-DirGir",
+            "files": [
+                "https://github.com/AshMartian/ComfyUI-DirGir"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of ComfyUI directory automation utility nodes. Directory Get It Right adds a GUI directory browser, and smart directory loop/iteration node that supports regex and file extension filtering."
+        },
+        {
+            "author": "SozeInc",
+            "title": "ComfyUI-Mobile",
+            "id": "comfyui-mobile",
+            "reference": "https://github.com/SozeInc/ComfyUI-Mobile",
+            "files": [
+                "https://github.com/SozeInc/ComfyUI-Mobile"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Ultimate Concat (Mobile), Send Notification (Mobile), Settings Launcher (Mobile), Settings Launcher Outputs (Mobile)"
+        },
+        {
+            "author": "audioscavenger",
+            "title": "ComfyUI Thumbnails",
+            "id": "thumbnails",
+            "reference": "https://github.com/audioscavenger/ComfyUI-Thumbnails",
+            "files": [
+                "https://github.com/audioscavenger/ComfyUI-Thumbnails"
+            ],
+            "install_type": "git-clone",
+            "description": "Load Image thumbnails for ComfyUI"
+        },
+        {
+            "author": "goktug",
+            "title": "Save Image Plus for ComfyUI",
+            "id": "saveimage-plus",
+            "reference": "https://github.com/Goktug/comfyui-saveimage-plus",
+            "files": [
+                "https://github.com/Goktug/comfyui-saveimage-plus"
+            ],
+            "install_type": "git-clone",
+            "description": "Save Image Plus is a custom node for ComfyUI that allows you to save images in JPEG and WEBP formats with optional metadata embedding."
+        },
+        {
+            "author": "wujm424606",
+            "title": "ComfyUi-Ollama-YN",
+            "id": "ollama-YN",
+            "reference": "https://github.com/wujm424606/ComfyUi-Ollama-YN",
+            "files": [
+                "https://github.com/wujm424606/ComfyUi-Ollama-YN"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom ComfyUI Nodes for interacting with [a/Ollama](https://ollama.com/) using the [a/ollama python client](https://github.com/ollama/ollama-python).\n Meanwhile it will provide better prompt descriptor for stable diffusion."
+        },
+        {
+            "author": "tmagara",
+            "title": "ComfyUI-Prediction-Boost",
+            "id": "prediction-boost",
+            "reference": "https://github.com/tmagara/ComfyUI-Prediction-Boost",
+            "files": [
+                "https://github.com/tmagara/ComfyUI-Prediction-Boost"
+            ],
+            "install_type": "git-clone",
+            "description": "prediction boost custom node for ComfyUI"
+        },
+        {
+            "author": "chesnokovivan",
+            "title": "ComfyUI-Novakid",
+            "id": "novakid",
+            "reference": "https://github.com/chesnokovivan/ComfyUI-Novakid",
+            "files": [
+                "https://github.com/chesnokovivan/ComfyUI-Novakid"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI: Novakid. A node."
+        },
+        {
+            "author": "Jin Liu",
+            "title": "ComfyUI-Photopea",
+            "id": "photopea",
+            "reference": "https://github.com/coolzilj/ComfyUI-Photopea",
+            "files": [
+                "https://github.com/coolzilj/ComfyUI-Photopea"
+            ],
+            "install_type": "git-clone",
+            "description": "Edit images in the Photopea editor directly within ComfyUI."
+        },
+        {
+            "author": "bitaffinity",
+            "title": "ComfyUI_HF_Inference",
+            "id": "hf-inference",
+            "reference": "https://github.com/bitaffinity/ComfyUI_HF_Inference",
+            "files": [
+                "https://github.com/bitaffinity/ComfyUI_HF_Inference"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial support for Hugging Face's hosted inference."
+        },
+        {
+            "author": "claussteinmassl",
+            "title": "CS Transform Node for ComfyUI",
+            "id": "cs-transform",
+            "reference": "https://github.com/claussteinmassl/ComfyUI-CS-CustomNodes",
+            "files": [
+                "https://github.com/claussteinmassl/ComfyUI-CS-CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "The CS Transform node is a custom node for ComfyUI that applies a series of transformations to an input image and mask. The transformations include scaling, rotation, and translation, all centered around a specified pivot point. The node ensures that the transformed image is properly accommodated within a canvas, which can be expanded if needed."
+        },
+        {
+            "author": "MariusKM",
+            "title": "ComfyUI-BadmanNodes",
+            "id": "badman",
+            "reference": "https://github.com/MariusKM/ComfyUI-BadmanNodes",
+            "files": [
+                "https://github.com/MariusKM/ComfyUI-BadmanNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Badman_Blend, Badman_HexGenerator, Badman_String, Badman_Concat_String, Badman_Print, BadmanIO, BadmanIntUtil"
+        },
+        {
+            "author": "TMElyralab",
+            "title": "Comfyui-MusePose",
+            "id": "musepose",
+            "reference": "https://github.com/TMElyralab/Comfyui-MusePose",
+            "files": [
+                "https://github.com/TMElyralab/Comfyui-MusePose"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/MusePose](https://github.com/TMElyralab/MusePose) is an image-to-video generation framework for virtual human under control signal such as pose.\nNOTE: You need to download weigths manually from: [a/https://huggingface.co/TMElyralab/MusePose](https://huggingface.co/TMElyralab/MusePose).[w/The repository name has changed. If you are not receiving updates, please delete the existing node and reinstall it.]"
+        },
+        {
+            "author": "PnthrLeo",
+            "title": "comfyUI-image-search",
+            "id": "image-search",
+            "reference": "https://github.com/PnthrLeo/comfyUI-image-search",
+            "files": [
+                "https://github.com/PnthrLeo/comfyUI-image-search"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Close Images Searcher"
+        },
+        {
+            "author": "l20richo",
+            "title": "ComfyUI-Azure-Blob-Storage",
+            "id": "azure-blob-storage",
+            "reference": "https://github.com/l20richo/ComfyUI-Azure-Blob-Storage",
+            "files": [
+                "https://github.com/l20richo/ComfyUI-Azure-Blob-Storage"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Azure-Blob-Storage seamlessly integrates with [a/Azure Blob Storage](https://azure.microsoft.com/en-us/products/storage/blobs/) in ComfyUI. This open-source project provides custom nodes for effortless loading and saving of images, videos, and checkpoint models directly from Azure blob containers within the ComfyUI graph interface."
+        },
+        {
+            "author": "AARG-FAN",
+            "title": "Image-vector-for-ComfyUI",
+            "id": "image-vector",
+            "reference": "https://github.com/AARG-FAN/Image-Raster-for-ComfyUI",
+            "files": [
+                "https://github.com/AARG-FAN/Image-Raster-for-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a wrap-up of ComfyUI nodes for converting pixels to raster, sent out to [a/Vtracer](https://github.com/visioncortex/vtracer)!"
+        },
+        {
+            "author": "Smirnov75",
+            "title": "ComfyUI-mxToolkit",
+            "id": "mxtoolkit",
+            "reference": "https://github.com/Smirnov75/ComfyUI-mxToolkit",
+            "files": [
+                "https://github.com/Smirnov75/ComfyUI-mxToolkit"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of useful nodes for convenient use of ComfyUI, including: Seed randomization before the generation process starts, with saving of the last used values and the ability to automatically interrupt the current generation; A function to pause the generation process; Slider nodes for convenient control of input parameters; An alternative version of the standard Reroute node."
+        },
+        {
+            "author": "humgate",
+            "title": "simplecomfy",
+            "reference": "https://github.com/humgate/simplecomfy",
+            "files": [
+                "https://github.com/humgate/simplecomfy"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple JS application based on ComfyUI which takes prompt and style picture from user and runs hardcoded workflow inference returning generated image to user."
+        },
+        {
+            "author": "vanche1212",
+            "title": "ZMG PLUGIN",
+            "id": "zmg",
+            "reference": "https://github.com/vanche1212/ComfyUI-ZMG-Nodes",
+            "files": [
+                "https://github.com/vanche1212/ComfyUI-ZMG-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ApiRequestNode, LoadVideoNode, JsonParserNode, OllamaRequestNode, OldPhotoColorizationNode."
+        },
+        {
+            "author": "hben35096",
+            "title": "ComfyUI-ToolBox",
+            "id": "hben-toolbox",
+            "reference": "https://github.com/hben35096/ComfyUI-ToolBox",
+            "files": [
+                "https://github.com/hben35096/ComfyUI-ToolBox"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:commonly_node."
+        },
+        {
+            "author": "hben35096",
+            "title": "ComfyUI-ReplenishNodes",
+            "reference": "https://github.com/hben35096/ComfyUI-ReplenishNodes",
+            "files": [
+                "https://github.com/hben35096/ComfyUI-ReplenishNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository contains two custom nodes for ComfyUI that utilize the [a/CLIPSeg model](https://huggingface.co/docs/transformers/main/en/model_doc/clipseg) to generate masks for image inpainting tasks based on text prompts."
+        },
+        {
+            "author": "tiankuan93",
+            "title": "V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation",
+            "id": "v-express",
+            "reference": "https://github.com/tiankuan93/ComfyUI-V-Express",
+            "files": [
+                "https://github.com/tiankuan93/ComfyUI-V-Express"
+            ],
+            "install_type": "git-clone",
+            "description": "[Original] In the field of portrait video generation, the use of single images to generate portrait videos has become increasingly prevalent. A common approach involves leveraging generative models to enhance adapters for controlled generation. However, control signals can vary in strength, including text, audio, image reference, pose, depth map, etc. Among these, weaker conditions often struggle to be effective due to interference from stronger conditions, posing a challenge in balancing these conditions. In our work on portrait video generation, we identified audio signals as particularly weak, often overshadowed by stronger signals such as pose and original image. However, direct training with weak signals often leads to difficulties in convergence. To address this, we propose V-Express, a simple method that balances different control signals through a series of progressive drop operations. Our method gradually enables effective control by weak conditions, thereby achieving generation capabilities that simultaneously take into account pose, input image, and audio.\nNOTE: You need to downdload [a/model_ckpts](https://huggingface.co/tk93/V-Express/tree/main) manually."
+        },
+        {
+            "author": "CMonk",
+            "title": "Stable Projectorz Bridge",
+            "id": "projectorz",
+            "reference": "https://github.com/tianlang0704/ComfyUI-StableProjectorzBridge",
+            "files": [
+                "https://github.com/tianlang0704/ComfyUI-StableProjectorzBridge"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom nodes enables Stable Projectorz to work with ComfyUI Directly."
+        },
+        {
+            "author": "Scorpinaus",
+            "title": "ComfyUI-DiffusersLoader",
+            "id": "comfyui-diffusersloader",
+            "reference": "https://github.com/Scorpinaus/ComfyUI-DiffusersLoader",
+            "files": [
+                "https://github.com/Scorpinaus/ComfyUI-DiffusersLoader"
+            ],
+            "install_type": "git-clone",
+            "description": "This node pack allows loading of SD checkpoints that uses diffusers format in comfyUI."
+        },
+        {
+            "author": "chakib-belgaid",
+            "title": "ComfyUI Style Plugin",
+            "id": "style-plugin",
+            "reference": "https://github.com/chakib-belgaid/Comfyui_Prompt_styler",
+            "files": [
+                "https://github.com/chakib-belgaid/Comfyui_Prompt_styler"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a simple plugin for ComfyUI that allows you to import A1111 CSV styles into ComfyUI prompts."
+        },
+        {
+            "author": "chakib-belgaid",
+            "title": "ComfyUI-autosize",
+            "id": "autosize",
+            "reference": "https://github.com/chakib-belgaid/ComfyUI-autosize",
+            "files": [
+                "https://github.com/chakib-belgaid/ComfyUI-autosize"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI utility plugin designed to optimize the latent space for generating high-quality results. It approximates the closest size model for better generation results."
+        },
+        {
+            "author": "ThereforeGames",
+            "title": "ComfyUI-Unprompted",
+            "id": "unprompted",
+            "reference": "https://github.com/ThereforeGames/ComfyUI-Unprompted",
+            "files": [
+                "https://github.com/ThereforeGames/ComfyUI-Unprompted"
+            ],
+            "install_type": "git-clone",
+            "description": "A node that processes input text with the [a/Unprompted templating language](https://github.com/ThereforeGames/unprompted)."
+        },
+        {
+            "author": "Tool Of North america",
+            "title": "Easy automatic (square) image cropper using Yolo",
+            "id": "tooldigital",
+            "reference": "https://github.com/tooldigital/ComfyUI-Yolo-Cropper",
+            "files": [
+                "https://github.com/tooldigital/ComfyUI-Yolo-Cropper"
+            ],
+            "install_type": "git-clone",
+            "description": "A very simple and easy to use node to automaticaaly create (square) image crops and masks using YoloV8. This can be very useful when using controlnet and ip adapters"
+        },
+        {
+            "author": "luandev",
+            "title": "ComfyUI CrewAI",
+            "id": "crewai",
+            "reference": "https://github.com/luandev/ComfyUI-CrewAI",
+            "files": [
+                "https://github.com/luandev/ComfyUI-CrewAI"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-CrewAI aims to integrate Crew AI's multi-agent collaboration framework into the ComfyUI environment. By combining the strengths of Crew AI's role-based, collaborative AI agent system with ComfyUI's intuitive interface, we will create a robust platform for managing and executing complex AI tasks seamlessly"
+        },
+        {
+            "author": "chandlergis",
+            "title": "ComfyUI_EmojiOverlay",
+            "id": "emoji-overlay",
+            "reference": "https://github.com/chandlergis/ComfyUI_EmojiOverlay",
+            "files": [
+                "https://github.com/chandlergis/ComfyUI_EmojiOverlay"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image Emoji Overlay"
+        },
+        {
+            "author": "JayLyu",
+            "title": "ComfyUI_BaiKong_Node",
+            "id": "baikong",
+            "reference": "https://github.com/JayLyu/ComfyUI_BaiKong_Node",
+            "files": [
+                "https://github.com/JayLyu/ComfyUI_BaiKong_Node"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:BK Img To Color, BK Color Selector"
+        },
+        {
+            "author": "risunobushi",
+            "title": "comfyUI_FrequencySeparation_RGB-HSV",
+            "id": "freq-sep",
+            "reference": "https://github.com/risunobushi/comfyUI_FrequencySeparation_RGB-HSV",
+            "files": [
+                "https://github.com/risunobushi/comfyUI_FrequencySeparation_RGB-HSV"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of simple nodes for Frequency Separation / Frequency Recombine with RGB and HSV methods"
+        },
+        {
+            "author": "zohac",
+            "title": "ComfyUI_ZC_DrawShape",
+            "id": "drawshape",
+            "reference": "https://github.com/zohac/ComfyUI_ZC_DrawShape",
+            "files": [
+                "https://github.com/zohac/ComfyUI_ZC_DrawShape"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ZC DrawShape Node"
+        },
+        {
+            "author": "DataCTE",
+            "title": "Prompt Injection Node for ComfyUI",
+            "id": "prompt-injection",
+            "reference": "https://github.com/DataCTE/prompt_injection",
+            "files": [
+                "https://github.com/DataCTE/prompt_injection"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node for ComfyUI allows you to inject specific prompts at specific blocks of the Stable Diffusion UNet, providing fine-grained control over the generated image. It is based on the concept that the content/subject understanding of the model is primarily contained within the MID0 and MID1 blocks, as demonstrated in the B-Lora (Content Style implicit separation) paper. Features.\nInject different prompts into specific UNet blocks Three different node variations for flexible workflow integration Customize the learning rate of specific blocks to focus on content, lighting, style, or other aspects Potential for developing a 'Mix of Experts' approach by swapping blocks on-the-fly based on prompt content"
+        },
+        {
+            "author": "FrankChieng",
+            "title": "ComfyUI_llm_easyanimiate",
+            "id": "llm-easyanimate",
+            "nodename_pattern": "^FrankChiengEasyAnimate",
+            "reference": "https://github.com/frankchieng/ComfyUI_llm_easyanimiate",
+            "files": [
+                "https://github.com/frankchieng/ComfyUI_llm_easyanimiate"
+            ],
+            "install_type": "git-clone",
+            "description": "implementation easyanimate with llama3-8b-6bit instruction LLM generation prompt help"
+        },
+        {
+            "author": "nuanarchy",
+            "title": "ComfyUI-NuA-FlashFace",
+            "id": "nua-flashface",
+            "reference": "https://github.com/nuanarchy/ComfyUI-NuA-FlashFace",
+            "files": [
+                "https://github.com/nuanarchy/ComfyUI-NuA-FlashFace"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI implementation of [a/FlashFace: Human Image Personalization with High-fidelity Identity Preservation](https://github.com/ali-vilab/FlashFace)\nNOTE: You need to downalod models manually."
+        },
+        {
+            "author": "nuanarchy",
+            "title": "ComfyUI-NuA-BIRD",
+            "id": "nua-bird",
+            "reference": "https://github.com/nuanarchy/ComfyUI-NuA-BIRD",
+            "files": [
+                "https://github.com/nuanarchy/ComfyUI-NuA-BIRD"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI implementation of '[a/Blind Image Restoration via Fast Diffusion Inversion](https://github.com/hamadichihaoui/BIRD)' Original [a/article](https://arxiv.org/abs/2405.19572)"
+        },
+        {
+            "author": "denfrost",
+            "title": "Den_ComfyUI_Workflows",
+            "id": "den",
+            "reference": "https://github.com/denfrost/Den_ComfyUI_Workflow",
+            "files": [
+                "https://github.com/denfrost/Den_ComfyUI_Workflow"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes make easy Advanced Workflows. Focus on Image/Video and ControlNet efficiency and performances. Manipulation of Latent Space, Automatic pipeline with a bit efforts."
+        },
+        {
+            "author": "marduk191",
+            "title": "marduk191 workflow settings",
+            "id": "marnodes",
+            "reference": "https://github.com/marduk191/comfyui-marnodes",
+            "files": [
+                "https://github.com/marduk191/comfyui-marnodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A node to set workflow settings."
+        },
+        {
+            "author": "marduk191",
+            "title": "Flux Prompt Enhance Node for ComfyUI",
+            "id": "fluxpromptenhancer",
+            "reference": "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer",
+            "files": [
+                "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node for ComfyUI integrates the Flux-Prompt-Enhance model, allowing you to enhance your prompts directly within your ComfyUI workflows."
+        },
+        {
+            "author": "haohaocreates",
+            "title": "ComfyUI-HH-Image-Selector",
+            "id": "hh-image-selector",
+            "reference": "https://github.com/haohaocreates/ComfyUI-HH-Image-Selector",
+            "files": [
+                "https://github.com/haohaocreates/ComfyUI-HH-Image-Selector"
+            ],
+            "install_type": "git-clone",
+            "description": "comfy ui custom node that returns an image from a batch based on selected criteria such as RGB value, brightness, etc (credits to chris goringe's custom nodes tutorial )."
+        },
+        {
+            "author": "exdysa",
+            "title": "comfyui-selector",
+            "reference": "https://github.com/exdysa/comfyui-selector",
+            "files": [
+                "https://github.com/exdysa/comfyui-selector"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Selector. Quick and dirty parameter generator node for ComfyUI."
+        },
+        {
+            "author": "Jin Liu",
+            "title": "ComfyUI-LJNodes",
+            "id": "ComfyUI-LJNodes",
+            "reference": "https://github.com/coolzilj/ComfyUI-LJNodes",
+            "files": [
+                "https://github.com/coolzilj/ComfyUI-LJNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A variety of custom nodes to enhance ComfyUI for a buttery smooth experience."
+        },
+        {
+            "author": "GavChap",
+            "title": "ComfyUI-SD3LatentSelectRes",
+            "id": "sd3latent-select-res",
+            "reference": "https://github.com/GavChap/ComfyUI-SD3LatentSelectRes",
+            "files": [
+                "https://github.com/GavChap/ComfyUI-SD3LatentSelectRes"
+            ],
+            "install_type": "git-clone",
+            "description": "You'll get a new node called SD3 Latent Select Resolution, you can pick the x and y sizes from a list."
+        },
+        {
+            "author": "BenNarum",
+            "title": "SigmaWaveFormNodes",
+            "id": "sigmawaveform",
+            "reference": "https://github.com/BenNarum/SigmaWaveFormNode",
+            "files": [
+                "https://github.com/BenNarum/SigmaWaveFormNode"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of tools for generating and altering sigmas in ComfyUI."
+        },
+        {
+            "author": "shobhitic",
+            "title": "PlusMinusTextClip - Single node for Positive and Negative Prompts",
+            "id": "plusminustextclip",
+            "reference": "https://github.com/shobhitic/ComfyUI-PlusMinusTextClip",
+            "files": [
+                "https://github.com/shobhitic/ComfyUI-PlusMinusTextClip"
+            ],
+            "install_type": "git-clone",
+            "description": "This adds a node that has both the positive and negative prompts as input in one node. You can just add one node and be done with both Positive and Negative prompts, in place of adding two different nodes for them."
+        },
+        {
+            "author": "Late Night Labs",
+            "title": "LNL Frame Selector",
+            "id": "lnlframeselector",
+            "reference": "https://github.com/latenightlabs/ComfyUI-LNL",
+            "files": [
+                "https://github.com/latenightlabs/ComfyUI-LNL"
+            ],
+            "install_type": "git-clone",
+            "description": "Frame Selector & Sequence Selection Node for ComfyUI."
+        },
+        {
+            "author": "Michael Standen",
+            "title": "Ollama Prompt Encode",
+            "id": "ollamapromptencode",
+            "reference": "https://github.com/ScreamingHawk/comfyui-ollama-prompt-encode",
+            "files": [
+                "https://github.com/ScreamingHawk/comfyui-ollama-prompt-encode"
+            ],
+            "install_type": "git-clone",
+            "description": "A prompt generator and CLIP encoder using AI provided by Ollama."
+        },
+        {
+            "author": "NvidiaGameWorksAdmin",
+            "title": "ComfyUI-RTX-Remix",
+            "id": "comfyui-rtx-remix",
+            "reference": "https://github.com/NVIDIAGameWorks/ComfyUI-RTX-Remix",
+            "files": [
+                "https://github.com/NVIDIAGameWorks/ComfyUI-RTX-Remix"
+            ],
+            "install_type": "git-clone",
+            "description": "Use ComfyUI with RTX Remix to remaster classic games [a/https://github.com/NVIDIAGameWorks/rtx-remix](https://github.com/NVIDIAGameWorks/rtx-remix)"
+        },
+        {
+            "author": "toxicwind",
+            "title": "TTools for ComfyUI",
+            "id": "ttools",
+            "reference": "https://github.com/toxicwind/ComfyUI-TTools",
+            "files": [
+                "https://github.com/toxicwind/ComfyUI-TTools"
+            ],
+            "install_type": "git-clone",
+            "description": "Text Randomization and Formatting, JSON Extraction and Processing, SD3 Resolution Solver"
+        },
+        {
+            "author": "Yanick112",
+            "title": "ComfyUI-ToSVG",
+            "id": "tosvg",
+            "reference": "https://github.com/Yanick112/ComfyUI-ToSVG",
+            "files": [
+                "https://github.com/Yanick112/ComfyUI-ToSVG"
+            ],
+            "install_type": "git-clone",
+            "description": "This project converts raster images into SVG format using the [a/VTracer](https://github.com/visioncortex/vtracer) library. It's a handy tool for designers and developers who need to work with vector graphics programmatically."
+        },
+        {
+            "author": "dicksondickson",
+            "title": "ComfyUI-Dickson-Nodes",
+            "id": "dicksonnodes",
+            "reference": "https://github.com/dicksondickson/ComfyUI-Dickson-Nodes",
+            "files": [
+                "https://github.com/dicksondickson/ComfyUI-Dickson-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of custom nodes that I've either written myself or adapted from other authors"
+        },
+        {
+            "author": "juehackr",
+            "title": "comfyui_fk_server",
+            "id": "fk-server",
+            "reference": "https://github.com/juehackr/comfyui_fk_server",
+            "files": [
+                "https://github.com/juehackr/comfyui_fk_server"
+            ],
+            "install_type": "git-clone",
+            "description": "🤗🤗🤗Comfyui Universal Translation Plugin (no longer requires adding various nodes, directly add translation function on the existing nodes), allowing Comfyui to support Chinese input and automatic translation for any long text input box, while adding error translation function (calling Baidu Translate), achieving translation freedom!"
+        },
+        {
+            "author": "G-370",
+            "title": "ComfyUI-SD3-Powerlab",
+            "id": "sd3-powerlab",
+            "reference": "https://github.com/G-370/ComfyUI-SD3-Powerlab",
+            "files": [
+                "https://github.com/G-370/ComfyUI-SD3-Powerlab"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Render SD3 Attention, SD3 Attention To Image, SD3 Image Into Attention."
+        },
+        {
+            "author": "TylerZoro",
+            "title": "SD3-Scaling",
+            "id": "sd3-scaling",
+            "reference": "https://github.com/TylerZoro/SD3-Scaling",
+            "files": [
+                "https://github.com/TylerZoro/SD3-Scaling"
+            ],
+            "install_type": "git-clone",
+            "description": "Tools for scaling images and latents appropriate to SD3 in ComfyUI."
+        },
+        {
+            "author": "baicai99",
+            "title": "ComfyUI-FrameSkipping",
+            "id": "FrameSkipping",
+            "reference": "https://github.com/baicai99/ComfyUI-FrameSkipping",
+            "files": [
+                "https://github.com/baicai99/ComfyUI-FrameSkipping"
+            ],
+            "install_type": "git-clone",
+            "description": "Used to process video redrawing, frame skipping, frame ending early, etc."
+        },
+        {
+            "author": "SuperMasterBlasterLaser",
+            "title": "ComfyUI_YOLO_Classifiers",
+            "id": "yolo-classifier",
+            "reference": "https://github.com/SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers",
+            "files": [
+                "https://github.com/SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:YOLO Classifier Model Loader, YOLO Classify."
+        },
+        {
+            "author": "SamKhoze",
+            "title": "DeepFuze",
+            "id": "deepfuze",
+            "reference": "https://github.com/SamKhoze/ComfyUI-DeepFuze",
+            "files": [
+                "https://github.com/SamKhoze/ComfyUI-DeepFuze"
+            ],
+            "install_type": "git-clone",
+            "description": "DeepFuze is a state-of-the-art deep learning tool that seamlessly integrates with ComfyUI to revolutionize facial transformations, lipsyncing, video generation, voice cloning, face swapping, and lipsync translation. Leveraging advanced algorithms, DeepFuze enables users to combine audio and video with unparalleled realism, ensuring perfectly synchronized facial movements. This innovative solution is ideal for content creators, animators, developers, and anyone seeking to elevate their video editing projects with sophisticated AI-driven features."
+        },
+        {
+            "author": "superyoman",
+            "title": "comfyui_lumaAPI",
+            "id": "luma",
+            "reference": "https://github.com/superyoman/comfyui_lumaAPI",
+            "files": [
+                "https://github.com/superyoman/comfyui_lumaAPI"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial Luma API-ComfyUI version.[w/WARN: This project is for learning purpose only!]"
+        },
+        {
+            "author": "chris-the-wiz",
+            "title": "EmbeddingsCurveEditor_ComfyUI",
+            "id": "embeddings-curve-editor",
+            "reference": "https://github.com/chris-the-wiz/EmbeddingsCurveEditor_ComfyUI",
+            "files": [
+                "https://github.com/chris-the-wiz/EmbeddingsCurveEditor_ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Edit embeddings with a curve. Actually should work on any 1D input tensor. Tested with IPAdapter-Plus."
+        },
+        {
+            "author": "zhulu111",
+            "title": "ComfyUI_Bxb",
+            "id": "ComfyUI_Bxb",
+            "reference": "https://github.com/zhulu111/ComfyUI_Bxb",
+            "files": [
+                "https://github.com/zhulu111/ComfyUI_Bxb"
+            ],
+            "install_type": "git-clone",
+            "description": "sdBxb, a tool that converts ComfyUI workflows into WeChat Mini Program, Douyin Mini Program, and H5 with one click, and supports payments."
+        },
+        {
+            "author": "lordgasmic",
+            "title": "comfyui_wildcards",
+            "reference": "https://github.com/lordgasmic/comfyui_wildcards",
+            "files": [
+                "https://github.com/lordgasmic/comfyui_wildcards"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an attempt to recreate the wildcards plugin for Automatic1111 but for ComfyUI."
+        },
+        {
+            "author": "lordgasmic",
+            "title": "comfyui_save_image_with_options",
+            "reference": "https://github.com/lordgasmic/comfyui_save_image_with_options",
+            "files": [
+                "https://github.com/lordgasmic/comfyui_save_image_with_options"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Save Image with Options"
+        },
+        {
+            "author": "opvelll",
+            "title": "Comfy UI Text List Product",
+            "id": "listproduct",
+            "reference": "https://github.com/opvelll/ComfyUI_TextListProduct",
+            "files": [
+                "https://github.com/opvelll/ComfyUI_TextListProduct"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a custom node for Comfy UI. It mainly wraps itertools.product and can be used to create patterns by combining prompts. It is recommended to install this custom node in combination with the nodes from the WAS Node Suite."
+        },
+        {
+            "author": "jakechai",
+            "title": "ComfyUI-JakeUpgrade",
+            "id": "jkupgrade",
+            "reference": "https://github.com/jakechai/ComfyUI-JakeUpgrade",
+            "files": [
+                "https://github.com/jakechai/ComfyUI-JakeUpgrade"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI workflow customization by Jake."
+        },
+        {
+            "author": "celsojr2013",
+            "title": "ComfyUI SimpleTools Suit",
+            "reference": "https://github.com/celsojr2013/comfyui_simpletools",
+            "files": [
+                "https://github.com/celsojr2013/comfyui_simpletools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Simple Google Translator, Simple Resolution Solver.\nThis is a small set of simple nodes that help your workflow on ComfyUI."
+        },
+        {
+            "author": "celsojr2013",
+            "title": "comfyui_jamworks_client",
+            "reference": "https://github.com/celsojr2013/comfyui_jamworks_client",
+            "files": [
+                "https://github.com/celsojr2013/comfyui_jamworks_client"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Jamworks_Login, Jamworks_Download, Shell_Command.\nA Simple Client for Jamworks Platform DAM Integration"
+        },
+        {
+            "author": "fablestudio",
+            "title": "ComfyUI-Showrunner-Utils",
+            "reference": "https://github.com/fablestudio/ComfyUI-Showrunner-Utils",
+            "files": [
+                "https://github.com/fablestudio/ComfyUI-Showrunner-Utils"
+            ],
+            "install_type": "git-clone",
+            "description": "Comfyui Custom Nodes for Showrunner"
+        },
+        {
+            "author": "MilitantHitchhiker",
+            "title": "MilitantHitchhiker-SwitchbladePack",
+            "id": "hitchhiker",
+            "reference": "https://github.com/MilitantHitchhiker/MilitantHitchhiker-SwitchbladePack",
+            "files": [
+                "https://github.com/MilitantHitchhiker/MilitantHitchhiker-SwitchbladePack"
+            ],
+            "install_type": "git-clone",
+            "description": "Militant Hitchhiker's Switchblade Pack is a collection of custom nodes for ComfyUI that provide various multi-function capabilities."
+        },
+        {
+            "author": "slyt",
+            "title": "comfyui-ollama-nodes",
+            "reference": "https://github.com/slyt/comfyui-ollama-nodes",
+            "files": [
+                "https://github.com/slyt/comfyui-ollama-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI custom nodes for working with [a/Ollama](https://github.com/ollama/ollama).\nNOTE:Assumes that an Ollama server is running at http://127.0.0.1:11434 and accessible by the ComfyUI backend."
+        },
+        {
+            "author": "zwng",
+            "title": "ComfyUI_Zwng_Nodes",
+            "id": "zwng",
+            "reference": "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes",
+            "files": [
+                "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple nodes for loading image files.Nodes that include a simple remote connection to Photoshop, a node that can overlay and preview an image with a mask, and a node that can load images directly from a file path."
+        },
+        {
+            "author": "RedRayz",
+            "title": "ComfyUI-Danbooru-To-WD",
+            "id": "danbooru2wd",
+            "reference": "https://github.com/RedRayz/ComfyUI-Danbooru-To-WD",
+            "files": [
+                "https://github.com/RedRayz/ComfyUI-Danbooru-To-WD"
+            ],
+            "install_type": "git-clone",
+            "description": "Converts booru tags to a format suitable for Waifu Diffusion(or Danbooru based models)."
+        },
+        {
+            "author": "Shibiko-AI",
+            "title": "Shibiko AI ComfyUI Tools",
+            "id": "shibiko-ai-tools",
+            "reference": "https://github.com/Shibiko-AI/ShibikoAI-ComfyUI-Tools",
+            "files": [
+                "https://github.com/Shibiko-AI/ShibikoAI-ComfyUI-Tools"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a collection of tools that I use to make my life easier when developing ComfyUI applications. It is a collection of tools that I have created to help me with my development process. I have decided to share these tools with the community in the hopes that they will be useful to others as well. I use this tools to further develop features for [a/https://shibiko.ai](https://shibiko.ai)"
+        },
+        {
+            "author": "SaltAI",
+            "title": "SaltAI_AudioViz",
+            "id": "saltai-audioviz",
+            "reference": "https://github.com/get-salt-AI/SaltAI_AudioViz",
+            "files": [
+                "https://github.com/get-salt-AI/SaltAI_AudioViz"
+            ],
+            "install_type": "git-clone",
+            "description": "SaltAI AudioViz contains ComfyUI nodes for generating complex audio reactive visualizations"
+        },
+        {
+            "author": "SherryXieYuchen",
+            "title": "ComfyUI-Image-Inpainting",
+            "id": "image-inpainting",
+            "reference": "https://github.com/SherryXieYuchen/ComfyUI-Image-Inpainting",
+            "files": [
+                "https://github.com/SherryXieYuchen/ComfyUI-Image-Inpainting"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:VAE Encode Inpaint, VAE Decode Inpaint, ColorCorrection Inpaint, ImagePreprocess Inpaint, ImagePostprocess Inpaint, Load Model Inpaint, Inpainting (using Model)"
+        },
+        {
+            "author": "zeroxoxo",
+            "title": "ComfyUI-Fast-Style-Transfer",
+            "id": "fast-style-transfer",
+            "reference": "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer",
+            "files": [
+                "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI node for fast neural style transfer. This is a simple conversion based on this: [a/https://github.com/rrmina/fast-neural-style-pytorch](https://github.com/rrmina/fast-neural-style-pytorch) Only basic inference functionality is ported for now."
+        },
+        {
+            "author": "iwanders",
+            "title": "iwanders/ComfyUI_nodes",
+            "id": "iwanders-nodes",
+            "reference": "https://github.com/iwanders/ComfyUI_nodes",
+            "files": [
+                "https://github.com/iwanders/ComfyUI_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:IW SaveString, IW PrintString, IW ReplaceString, IW StringNode, IW StringConcat, IW TokenizerVocab, IW JsonPickItem."
+        },
+        {
+            "author": "rhdunn",
+            "title": "comfyui-bus-plugin",
+            "id": "bus",
+            "reference": "https://github.com/rhdunn/comfyui-bus-plugin",
+            "files": [
+                "https://github.com/rhdunn/comfyui-bus-plugin"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of nodes for rerouting multiple I/O lines together in a bus."
+        },
+        {
+            "author": "rhdunn",
+            "title": "comfyui-audio-processing",
+            "reference": "https://github.com/rhdunn/comfyui-audio-processing",
+            "files": [
+                "https://github.com/rhdunn/comfyui-audio-processing"
+            ],
+            "install_type": "git-clone",
+            "description": "This plugin is compatible with the ComfyUI audio nodes."
+        },
+        {
+            "author": "hyunamy",
+            "title": "Comfy-UI on-complete-email-me",
+            "id": "hyunamy",
+            "reference": "https://github.com/hyunamy/comfy-ui-on-complete-email-me",
+            "files": [
+                "https://github.com/hyunamy/comfy-ui-on-complete-email-me"
+            ],
+            "install_type": "git-clone",
+            "description": "A feature that sends an email via Gmail once image generation is completed in Comfy-ui."
+        },
+        {
+            "author": "veighnsche",
+            "title": "comfyui_gr85",
+            "id": "gr85",
+            "reference": "https://github.com/veighnsche/comfyui_gr85",
+            "files": [
+                "https://github.com/veighnsche/comfyui_gr85"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image Dimension Resizer, Image Sizer, Random Ratio, Show Text, Random Title Character, Random Wildcard Tag Picker, Random Show Atm Loc Outfit, Contains Word, Elements Concatenator, ..."
+        },
+        {
+            "author": "leiweiqiang",
+            "title": "ComfyUI-TRA",
+            "id": "tra",
+            "reference": "https://github.com/leiweiqiang/ComfyUI-TRA",
+            "files": [
+                "https://github.com/leiweiqiang/ComfyUI-TRA"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:TCL EbSynth, TCL Extract Frames (From File), TCL Extract Frames (From Video), TCL Combine Frames, TCL Save Video (From Frames)"
+        },
+        {
+            "author": "hwhaocool",
+            "title": "ComfyUI-Select-Any",
+            "id": "select-any",
+            "reference": "https://github.com/hwhaocool/ComfyUI-Select-Any",
+            "files": [
+                "https://github.com/hwhaocool/ComfyUI-Select-Any"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node, which can select value from inputs"
+        },
+        {
+            "author": "GreenLandisaLie",
+            "title": "AuraSR-ComfyUI",
+            "id": "aurasr-greenlandisalie",
+            "reference": "https://github.com/GreenLandisaLie/AuraSR-ComfyUI",
+            "files": [
+                "https://github.com/GreenLandisaLie/AuraSR-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI implementation of [a/Aura-SR](https://github.com/fal-ai/aura-sr)"
+        },
+        {
+            "author": "licyk",
+            "title": "ComfyUI-Restart-Sampler",
+            "id": "restart-sampler-licyk",
+            "reference": "https://github.com/licyk/ComfyUI-Restart-Sampler",
+            "files": [
+                "https://github.com/licyk/ComfyUI-Restart-Sampler"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension is a node that directly expands the functionality of KSampler, rather than being in the form of a custom node. [w/Workflows created using this feature are not compatible with other users.]"
+        },
+        {
+            "author": "my-opencode",
+            "title": "ComfyUI_IndustrialMagick",
+            "id": "industrialmagick",
+            "reference": "https://github.com/my-opencode/ComfyUI_IndustrialMagick",
+            "files": [
+                "https://github.com/my-opencode/ComfyUI_IndustrialMagick"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/ImageMagick](https://imagemagick.org/index.php) nodes for ComfyUI. Adds nodes to call ImageMagick subprocesses from ComfyUI.\nRequirements: [a/ImagMagick7](https://imagemagick.org/script/download.php), 'magick' command in your CLI environment."
+        },
+        {
+            "author": "my-opencode",
+            "title": "ComfyUI_KSamplerTimer",
+            "id": "ksamplertimer",
+            "reference": "https://github.com/my-opencode/ComfyUI_KSamplerTimer",
+            "files": [
+                "https://github.com/my-opencode/ComfyUI_KSamplerTimer"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node that returns the generation time of the KSampler. Intended for benchmarking or debugging."
+        },
+        {
+            "author": "SEkINVR",
+            "title": "ComfyUI SaveAS",
+            "id": "saveas",
+            "reference": "https://github.com/SEkINVR/ComfyUI-SaveAs",
+            "files": [
+                "https://github.com/SEkINVR/ComfyUI-SaveAs"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node for ComfyUI allows you to save images in multiple formats, including PNG, JPG, WebP, and ICO.\n[w/ComfyUI-Save-Multi-Format is renamed to SaveAs. Remove previous one and reinstall to this.]"
+        },
+        {
+            "author": "MrSamSeen",
+            "title": "ComfyUI_SSStereoscope",
+            "id": "ssstereoscope",
+            "reference": "https://github.com/MrSamSeen/ComfyUI_SSStereoscope",
+            "files": [
+                "https://github.com/MrSamSeen/ComfyUI_SSStereoscope"
+            ],
+            "install_type": "git-clone",
+            "description": "Side by Side 3D Stereoscope generation node for ComfyUI by SamSeen."
+        },
+        {
+            "author": "jroc22",
+            "title": "ComfyUI-CSV-prompt-builder",
+            "id": "csv-prompt-builder",
+            "reference": "https://github.com/jroc22/ComfyUI-CSV-prompt-builder",
+            "files": [
+                "https://github.com/jroc22/ComfyUI-CSV-prompt-builder"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a simple node for creating prompts using a .csv file. I created this node as an easy way to output different prompts each time a workflow is run."
+        },
+        {
+            "author": "DeJoker",
+            "title": "Pipeline Parallel ComfyUI",
+            "reference": "https://github.com/DeJoker/pipeline-parallel-comfy",
+            "files": [
+                "https://github.com/DeJoker/pipeline-parallel-comfy"
+            ],
+            "install_type": "git-clone",
+            "description": "provide extra api to run prompt request with parallel execution of independent node"
+        },
+        {
+            "author": "yiwangsimple",
+            "title": "ComfyUI_DW_Chat",
+            "reference": "https://github.com/yiwangsimple/ComfyUI_DW_Chat",
+            "files": [
+                "https://github.com/yiwangsimple/ComfyUI_DW_Chat"
+            ],
+            "install_type": "git-clone",
+            "description": "Content generation with open source models in comfyui via graq api implementation.\n[w/This repo is renamed from ComfyUI_GroqChat to ComfyUI_DW_CHAT. Please remove previous one and reinstall to this.]"
+        },
+        {
+            "author": "Tritant",
+            "title": "ComfyUI-CreaPrompt",
+            "id": "creaprompt",
+            "reference": "https://github.com/tritant/ComfyUI_CreaPrompt",
+            "files": [
+                "https://github.com/tritant/ComfyUI_CreaPrompt"
+            ],
+            "install_type": "git-clone",
+            "description": "Generate random prompts easily."
+        },
+        {
+            "author": "metncelik",
+            "title": "comfyui_met_suite",
+            "reference": "https://github.com/metncelik/comfyui_met_suite",
+            "files": [
+                "https://github.com/metncelik/comfyui_met_suite"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Primitive BBOX, BBOX Padding, BBOX Resize, ImageResize KeepRatio."
+        },
+        {
+            "author": "Smuzzies",
+            "title": "comfyui_meme_maker",
+            "reference": "https://github.com/Smuzzies/comfyui_meme_maker",
+            "files": [
+                "https://github.com/Smuzzies/comfyui_meme_maker"
+            ],
+            "install_type": "git-clone",
+            "description": "Meme Maker Node for ComfyUI."
+        },
+        {
+            "author": "bluevisor",
+            "title": "ComfyUI_PS_Blend_Node",
+            "reference": "https://github.com/bluevisor/ComfyUI_PS_Blend_Node",
+            "files": [
+                "https://github.com/bluevisor/ComfyUI_PS_Blend_Node"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository contains a simple custom node for ComfyUI that implements familiar PS-style blend modes using PyTorch. The PSBlendNode allows you to blend two images together using a variety of blend modes and an opacity parameter."
+        },
+        {
+            "author": "wTechArtist",
+            "title": "ComfyUI-CustomNodes",
+            "reference": "https://github.com/wTechArtist/ComfyUI-CustomNodes",
+            "files": [
+                "https://github.com/wTechArtist/ComfyUI-CustomNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image Blending Mode Mask, Load Image With Bool, IPAdapter Mad Scientist Weight_Type, IPAdapter FaceID With Bool"
+        },
+        {
+            "author": "mullakhmetov",
+            "title": "comfyui_dynamic_util_nodes",
+            "reference": "https://github.com/mullakhmetov/comfyui_dynamic_util_nodes",
+            "files": [
+                "https://github.com/mullakhmetov/comfyui_dynamic_util_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyS3 helpful util nodes for dynamic workflows"
+        },
+        {
+            "author": "HECer",
+            "title": "ComfyUI-FilePathCreator",
+            "reference": "https://github.com/HECer/ComfyUI-FilePathCreator",
+            "files": [
+                "https://github.com/HECer/ComfyUI-FilePathCreator"
+            ],
+            "install_type": "git-clone",
+            "description": "The ComfyUI-FilePathCreator is a custom node extension for ComfyUI designed to generate dynamic filenames based on user-defined parameters. This node helps streamline the process of creating organized and timestamped filenames, ideal for saving output files in a structured manner."
+        },
+        {
+            "author": "adigayung",
+            "title": "ComfyUI-Translator",
+            "reference": "https://github.com/adigayung/ComfyUI-Translator",
+            "files": [
+                "https://github.com/adigayung/ComfyUI-Translator"
+            ],
+            "install_type": "git-clone",
+            "description": "Auto translate all languages ​​to english"
+        },
+        {
+            "author": "ZZXYWQ",
+            "title": "ZZX Nodes",
+            "id": "ZZXYWQ",
+            "reference": "https://github.com/ZZXYWQ/ComfyUI-ZZXYWQ",
+            "files": [
+                "https://github.com/ZZXYWQ/ComfyUI-ZZXYWQ"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: StreamRecorder, VideoFormatConverter, ZZX_PaintsUndo"
+        },
+        {
+            "author": "SiliconFlow",
+            "title": "☁️BizyAir Nodes",
+            "id": "bizyair",
+            "reference": "https://github.com/siliconflow/BizyAir",
+            "files": [
+                "https://github.com/siliconflow/BizyAir"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/BizyAir](https://github.com/siliconflow/BizyAir) Comfy Nodes that can run in any environment."
+        },
+        {
+            "author": "BenNarum",
+            "title": "ComfyUI_CAS",
+            "reference": "https://github.com/BenNarum/ComfyUI_CAS",
+            "files": [
+                "https://github.com/BenNarum/ComfyUI_CAS"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides nodes that allow experimentation with various elements (samplers, latent, activators, attenuator, scheulders, ...) of Stable Diffusion."
+        },
+        {
+            "author": "Indra's Mirror",
+            "title": "ComfyUI-Documents",
+            "reference": "https://github.com/Excidos/ComfyUI-Documents",
+            "files": [
+                "https://github.com/Excidos/ComfyUI-Documents"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Documents is a powerful extension for ComfyUI that enhances workflows with advanced document processing capabilities. It includes nodes for loading and parsing various document types (PDF, TXT, DOC, DOCX), converting PDF pages to images, splitting PDFs into individual pages, and selecting specific images from batches. Features include text extraction, image conversion, and seamless integration with existing ComfyUI projects."
+        },
+        {
+            "author": "Indra's Mirror",
+            "title": "ComfyUI-Lumina-Next-SFT-DiffusersWrapper",
+            "reference": "https://github.com/Excidos/ComfyUI-Lumina-Next-SFT-DiffusersWrapper",
+            "files": [
+                "https://github.com/Excidos/ComfyUI-Lumina-Next-SFT-DiffusersWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Lumina-Next-SFT-DiffusersWrapper is a custom node for ComfyUI that integrates the advanced Lumina-Next-SFT model. It offers high-quality image generation with features like time-aware scaling, optional ODE sampling, and support for high-resolution outputs. This node brings the power of the Lumina text-to-image pipeline directly into ComfyUI workflows, allowing for flexible and powerful image generation capabilities."
+        },
+        {
+            "author": "Expo",
+            "title": "LM Studio Image to Text Node for ComfyUI",
+            "id": "comfyui-lmstudio-image-to-text-node",
+            "reference": "https://github.com/mattjohnpowell/comfyui-lmstudio-image-to-text-node",
+            "files": [
+                "https://github.com/mattjohnpowell/comfyui-lmstudio-image-to-text-node"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for ComfyUI that integrates LM Studio's vision models to generate text descriptions of images. It provides a flexible and customizable way to add image-to-text capabilities to your ComfyUI workflows, working with LM Studio's local API."
+        },
+        {
+            "author": "injet-zhou",
+            "title": "comfyui_extra_api",
+            "reference": "https://github.com/injet-zhou/comfyui_extra_api",
+            "files": [
+                "https://github.com/injet-zhou/comfyui_extra_api"
+            ],
+            "install_type": "git-clone",
+            "description": "Add more endpoints to make easy for utilizing ComfyUI API."
+        },
+        {
+            "author": "leestuartx",
+            "title": "ComfyUI-GG",
+            "reference": "https://github.com/leestuartx/ComfyUI-GG",
+            "files": [
+                "https://github.com/leestuartx/ComfyUI-GG"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-GG is a collection of ComfyUI nodes designed to enhance productivity in image processing workflows. This plugin provides a set of custom nodes that perform various image manipulations and metadata extractions to streamline your tasks."
+        },
+        {
+            "author": "mgfxer",
+            "title": "ComfyUI-FrameFX",
+            "reference": "https://github.com/mgfxer/ComfyUI-FrameFX",
+            "files": [
+                "https://github.com/mgfxer/ComfyUI-FrameFX"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of custom nodes for frame interpolation and video processing in ComfyUI."
+        },
+        {
+            "author": "Cyberschorsch",
+            "title": "ComfyUI Checkpoint Loader Config",
+            "reference": "https://github.com/Cyberschorsch/ComfyUI-checkpoint-config-loader",
+            "files": [
+                "https://github.com/Cyberschorsch/ComfyUI-checkpoint-config-loader"
+            ],
+            "install_type": "git-clone",
+            "description": "Provides a custom node to load config for sampler nodes from a yaml file."
+        },
+        {
+            "author": "fearnworks",
+            "title": "Fearnworks Nodes",
+            "id": "fearnworks",
+            "reference": "https://github.com/fearnworks/ComfyUI_FearnworksNodes",
+            "files": [
+                "https://github.com/fearnworks/ComfyUI_FearnworksNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides various nodes to support multimodal workflows."
+        },
+        {
+            "author": "3D-MeshTool",
+            "title": "ComfyUI-3D-MeshTool",
+            "id": "3D-MeshTool",
+            "reference": "https://github.com/807502278/ComfyUI-3D-MeshTool",
+            "files": [
+                "https://github.com/807502278/ComfyUI-3D-MeshTool"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple 3D model processing tool within ComfyUI."
+        },
+        {
+            "author": "JackEllie",
+            "title": "ComfyUI-AI-Assistant",
+            "id": "AI-Assistant",
+            "reference": "https://github.com/JackEllie/ComfyUI_AI_Assistant",
+            "files": [
+                "https://github.com/JackEllie/ComfyUI_AI_Assistant"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI native implementation of [a/AI-Assistant](https://github.com/tori29umai0123/AI-Assistant)."
+        },
+        {
+            "author": "APZmedia",
+            "title": "APZmedia Clean Name",
+            "id": "clean-filename",
+            "reference": "https://github.com/APZmedia/ComfyUI-APZmedia-cleanName-from-string",
+            "files": [
+                "https://github.com/APZmedia/ComfyUI-APZmedia-cleanName-from-string"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node to sanitize text to make clean file names from strings."
+        },
+        {
+            "author": "N3rd00d",
+            "title": "ComfyUI-Paint3D-Nodes",
+            "id": "paint3d",
+            "reference": "https://github.com/N3rd00d/ComfyUI-Paint3D-Nodes",
+            "files": [
+                "https://github.com/N3rd00d/ComfyUI-Paint3D-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Paint3D Nodes is a custom ComfyUI node for 3D model texture inpainting based on [a/Paint3D](https://arxiv.org/pdf/2312.13913)."
+        },
+        {
+            "author": "sn0w12",
+            "title": "ComfyUI-Sn0w-Scripts",
+            "reference": "https://github.com/sn0w12/ComfyUI-Sn0w-Scripts",
+            "files": [
+                "https://github.com/sn0w12/ComfyUI-Sn0w-Scripts"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of nodes and improvements created for general ease and lora management. These are just nodes I made and found useful, they should work with most other nodes. Most nodes that take in a prompt are made with booru tags in mind and might not work as expected with other prompts."
+        },
+        {
+            "author": "MiaoshouAI",
+            "title": "ComfyUI-Miaoshouai-Tagger",
+            "id": "miaoshouai-tagger",
+            "reference": "https://github.com/miaoshouai/ComfyUI-Miaoshouai-Tagger",
+            "files": [
+                "https://github.com/miaoshouai/ComfyUI-Miaoshouai-Tagger"
+            ],
+            "install_type": "git-clone",
+            "description": "A node helps with image tagging and caption based on Florence-2-base-PromptGen model."
+        },
+        {
+            "author": "Patricio Gonzalez Vivo",
+            "title": "GLSL Nodes",
+            "reference": "https://github.com/patriciogonzalezvivo/comfyui_glslnodes",
+            "files": [
+                "https://github.com/patriciogonzalezvivo/comfyui_glslnodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A collections of nodes to support GLSL shaders inside a workflow."
+        },
+        {
+            "author": "2kpr",
+            "title": "ComfyUI-UltraPixel",
+            "id": "comfyui-ultrapixel",
+            "reference": "https://github.com/2kpr/ComfyUI-UltraPixel",
+            "files": [
+                "https://github.com/2kpr/ComfyUI-UltraPixel"
+            ],
+            "install_type": "git-clone",
+            "description": "Implementation of UltraPixel on ComfyUI"
+        },
+        {
+            "author": "LightSketch-ai",
+            "title": "ComfyUI-LivePortraitNode (Replicate API)",
+            "id": "lightsketchlp",
+            "reference": "https://github.com/LightSketch-ai/ComfyUI-LivePortraitNode",
+            "files": [
+                "https://github.com/LightSketch-ai/ComfyUI-LivePortraitNode"
+            ],
+            "install_type": "git-clone",
+            "description": "Two simple to install nodes to get Live Portrait working in ComfyUI without the need for a fancy GPU (Replicate account needed)."
+        },
+        {
+            "author": "aaronchm",
+            "title": "z-a1111-sd-webui-DanTagGen",
+            "id": "z-a1111-sd-webui-DanTagGen",
+            "reference": "https://github.com/Aaron-CHM/ComfyUI-z-a1111-sd-webui-DanTagGen",
+            "files": [
+                "https://github.com/Aaron-CHM/ComfyUI-z-a1111-sd-webui-DanTagGen"
+            ],
+            "install_type": "git-clone",
+            "description": "Improved DanTagGen implementation that posesses all functionality of the A1111 webui extension."
+        },
+        {
+            "author": "mikebilly",
+            "title": "Transparent-background-comfyUI",
+            "id": "transparent-background-comfyui",
+            "reference": "https://github.com/mikebilly/Transparent-background-comfyUI",
+            "files": [
+                "https://github.com/mikebilly/Transparent-background-comfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Removes background using Transparent Background"
+        },
+        {
+            "author": "un-seen",
+            "title": "comfyui-tensorop",
+            "id": "comfyui-tensorop",
+            "reference": "https://github.com/un-seen/comfyui-tensorops",
+            "files": [
+                "https://github.com/un-seen/comfyui-tensorops"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to perform tensor operations in ComfyUI"
+        },
+        {
+            "author": "un-seen",
+            "title": "ComfyUI Segment Anything",
+            "reference": "https://github.com/un-seen/comfyui_segment_anything_plus",
+            "files": [
+                "https://github.com/un-seen/comfyui_segment_anything_plus"
+            ],
+            "install_type": "git-clone",
+            "description": "This project is a ComfyUI version of [a/sd-webui-segment-anything](https://github.com/continue-revolution/sd-webui-segment-anything). At present, only the most core functionalities have been implemented. I would like to express my gratitude to [a/continue-revolution](https://github.com/continue-revolution) for their preceding work on which this is based."
+        },
+        {
+            "author": "john-mnz",
+            "title": "ComfyUI-Inspyrenet-Rembg",
+            "id": "inspyrenet",
+            "reference": "https://github.com/john-mnz/ComfyUI-Inspyrenet-Rembg",
+            "files": [
+                "https://github.com/john-mnz/ComfyUI-Inspyrenet-Rembg"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI node for background removal, implementing [a/InSPyReNet](https://github.com/plemeri/InSPyReNet)"
+        },
+        {
+            "author": "Koushakur",
+            "title": "ComfyUI-DenoiseChooser",
+            "id": "denoise-chooser",
+            "reference": "https://github.com/Koushakur/ComfyUI-DenoiseChooser",
+            "files": [
+                "https://github.com/Koushakur/ComfyUI-DenoiseChooser"
+            ],
+            "install_type": "git-clone",
+            "description": "The latent gets passed straight through unaltered, if it's empty (i.e from a 'Empty Latent Image' node) FLOAT outputs the first value, otherwise it outputs the second value"
+        },
+        {
+            "author": "ycchanau",
+            "title": "ComfyUI Preview Magnifier",
+            "id": "magnifier",
+            "reference": "https://github.com/ycchanau/ComfyUI_Preview_Magnifier",
+            "files": [
+                "https://github.com/ycchanau/ComfyUI_Preview_Magnifier"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes that preview image with a magnifier."
+        },
+        {
+            "author": "lrzjason",
+            "title": "Comfyui Kolors Utils",
+            "reference": "https://github.com/lrzjason/Comfyui-Kolors-Utils",
+            "files": [
+                "https://github.com/lrzjason/Comfyui-Kolors-Utils"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Save Weight As Kolors Unet, Save Kolors"
+        },
+        {
+            "author": "lrzjason",
+            "title": "ComfyUIJasonNode",
+            "reference": "https://github.com/lrzjason/ComfyUIJasonNode",
+            "files": [
+                "https://github.com/lrzjason/ComfyUIJasonNode/raw/main/SDXLMixSampler.py",
+                "https://github.com/lrzjason/ComfyUIJasonNode/raw/main/LatentByRatio.py",
+                ""
+            ],
+            "install_type": "copy",
+            "description": "Nodes:SDXLMixSampler, LatentByRatio"
+        },
+        {
+            "author": "amorano",
+            "title": "Cozy Communication",
+            "id": "cozy_comm",
+            "reference": "https://github.com/cozy-comfyui/cozy_comm",
+            "files": [
+                "https://github.com/cozy-comfyui/cozy_comm"
+            ],
+            "nodename_pattern": " \\(cozy\\)",
+            "install_type": "git-clone",
+            "description": "Post images and video to Discord. Nodes to facilitate communication using REST."
+        },
+        {
+            "author": "ShmuelRonen",
+            "title": "ComfyUI-AstralAnimator",
+            "id": "astralanimator",
+            "reference": "https://github.com/ShmuelRonen/ComfyUI-AstralAnimator",
+            "files": [
+                "https://github.com/ShmuelRonen/ComfyUI-AstralAnimator"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for ComfyUI that enables smooth, keyframe-based animations for image generation. Create dynamic sequences with control over motion, zoom, rotation, and easing effects. Ideal for AI-assisted animation and video content creation."
+        },
+        {
+            "author": "RhizoNymph",
+            "title": "ComfyUI-Latte",
+            "id": "latte",
+            "reference": "https://github.com/RhizoNymph/ComfyUI-Latte",
+            "files": [
+                "https://github.com/RhizoNymph/ComfyUI-Latte"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to use [a/latte](https://github.com/Vchitect/Latte) for text to video generation"
+        },
+        {
+            "author": "Marksusu",
+            "title": "ComfyUI_MTCLIPEncode",
+            "id": "mtclipencode",
+            "reference": "https://github.com/Marksusu/ComfyUI_MTCLIPEncode",
+            "files": [
+                "https://github.com/Marksusu/ComfyUI_MTCLIPEncode"
+            ],
+            "install_type": "git-clone",
+            "description": "MTCLIPEncode: An extension for ComfyUI's CLIPTextEncode node, offering multilingual translation (using MarianMT) and prompt enhancement (using Ollama). Seamlessly translate your native language prompts into English and further optimize them for generating your desired images with Stable Diffusion. Supports Krita AI Diffusion."
+        },
+        {
+            "author": "fssorc",
+            "title": "ComfyUI_FaceShaper",
+            "id": "facesharper",
+            "reference": "https://github.com/fssorc/ComfyUI_FaceShaper",
+            "files": [
+                "https://github.com/fssorc/ComfyUI_FaceShaper"
+            ],
+            "install_type": "git-clone",
+            "description": "Match two faces' shape before using other face swap nodes\nFace-swapping tools typically only replace facial features during the swap, without altering the facial shape. When there is a significant difference in facial shape between the target person and the person in the original photo, the result of the face swap is less satisfactory.\nThis project is a small script that can first liquefy and stretch the face in the original photo according to the horizontal and vertical proportions of the target person's facial contour. The resulting image can be used as input for other face-swapping nodes."
+        },
+        {
+            "author": "BetaDoggo",
+            "title": "ComfyUI YetAnotherSafetyChecker",
+            "id": "yetanothersafetychecker",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-YetAnotherSafetyChecker",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-YetAnotherSafetyChecker"
+            ],
+            "install_type": "git-clone",
+            "description": "Just a simple node to filter out NSFW outputs. This node utilizes [a/AdamCodd/vit-base-nsfw-detector](https://huggingface.co/AdamCodd/vit-base-nsfw-detector) to score the outputs. I chose this model because it's small, fast, and performed very well in my testing. Nudity tends to be scored in the 0.95+ range, but I've set the default to 0.8 as a safe baseline."
+        },
+        {
+            "author": "BetaDoggo",
+            "title": "neggles/ComfyUI-WDV-Nodes [gist-wrapper]",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-WDV-Nodes",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-WDV-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "100% of code taken from [a/https://gist.github.com/neggles/ecb6327251a9e274428d07636c727eb9](https://gist.github.com/neggles/ecb6327251a9e274428d07636c727eb9)."
+        },
+        {
+            "author": "BetaDoggo",
+            "title": "ComfyUI Video Player",
+            "id": "videoplayer",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-VideoPlayer",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-VideoPlayer"
+            ],
+            "install_type": "git-clone",
+            "description": "A silly POC Video Player for ComfyUI"
+        },
+        {
+            "author": "BetaDoggo",
+            "title": "Gatcha Embeddings",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding"
+            ],
+            "install_type": "git-clone",
+            "description": "A revolutionary technique for increasing output variety."
+        },
+        {
+            "author": "WX-NPS1598",
+            "title": "Auto Crop By NPS",
+            "id": "autocrop-nps",
+            "reference": "https://github.com/WX-NPS1598/ComfyUI-Auto_Crop_By_NPS",
+            "files": [
+                "https://github.com/WX-NPS1598/ComfyUI-Auto_Crop_By_NPS"
+            ],
+            "install_type": "git-clone",
+            "description": "A very useful automatic cropping tool! It can realize cropping, expansion and rotation functions in the form of a slider. "
+        },
+        {
+            "author": "googincheng",
+            "title": "ComfyUX",
+            "id": "comfyux",
+            "reference": "https://github.com/googincheng/ComfyUX",
+            "files": [
+                "https://github.com/googincheng/ComfyUX"
+            ],
+            "install_type": "git-clone",
+            "description": "Better user experience plugin for ComfyUI."
+        },
+        {
+            "author": "wootwootwootwoot",
+            "title": "ComfyUI-RK-Sampler",
+            "id": "rk_sampler",
+            "reference": "https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler",
+            "files": [
+                "https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler"
+            ],
+            "install_type": "git-clone",
+            "description": "Batched Runge-Kutta Samplers for ComfyUI"
+        },
+        {
+            "author": "TechnoByteJS",
+            "title": "TechNodes",
+            "id": "technodes",
+            "reference": "https://github.com/TechnoByteJS/ComfyUI-TechNodes",
+            "files": [
+                "https://github.com/TechnoByteJS/ComfyUI-TechNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes for merging, testing and more.\nNOTE: SDNext Merge, VAE Merge, MBW Layers, Repeat VAE, Quantization."
+        },
+        {
+            "author": "Fantasy AI Studio",
+            "title": "FAI-Node",
+            "id": "FAI-Node",
+            "reference": "https://github.com/alanhuang67/ComfyUI-FAI-Node",
+            "files": [
+                "https://github.com/alanhuang67/ComfyUI-FAI-Node"
+            ],
+            "install_type": "git-clone",
+            "description": "Various custom nodes for ComfyUI"
+        },
+        {
+            "author": "MuziekMagie",
+            "title": "ComfyUI-Matchering",
+            "id": "matchering",
+            "reference": "https://github.com/MuziekMagie/ComfyUI-Matchering",
+            "files": [
+                "https://github.com/MuziekMagie/ComfyUI-Matchering"
+            ],
+            "install_type": "git-clone",
+            "description": "A [a/Matchering](https://github.com/sergree/matchering)-node for ComfyUI.\nNOTE: You take TWO audio files and feed them into Matchering"
+        },
+        {
+            "author": "filliptm",
+            "title": "ComfyUI_FL-Trainer",
+            "reference": "https://github.com/filliptm/ComfyUI_FL-Trainer",
+            "files": [
+                "https://github.com/filliptm/ComfyUI_FL-Trainer"
+            ],
+            "install_type": "git-clone",
+            "description": "Train Image Loras on both sd1.5 and SDXL. This repo git clones the pieces needed to train. It pops open a second terminal window do do the training. It will also display the inference samples in the node itself so you can track the results."
+        },
+        {
+            "author": "Mintbeer96",
+            "title": "ComfyUI-KerasOCR",
+            "reference": "https://github.com/Mintbeer96/ComfyUI-KerasOCR",
+            "files": [
+                "https://github.com/Mintbeer96/ComfyUI-KerasOCR"
+            ],
+            "install_type": "git-clone",
+            "description": "An OCR node for detect text in image and returns covering mask."
+        },
+        {
+            "author": "pikenrover",
+            "title": "ComfyUI_PRNodes",
+            "reference": "https://github.com/pikenrover/ComfyUI_PRNodes",
+            "files": [
+                "https://github.com/pikenrover/ComfyUI_PRNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:RandomPrompt, RandomPromptMixed, ImageScaleTo, EmptyLatentImageScaleBy, LoraLoaderExtended, Save Image w/Metadata, CheckpointLoaderSimpleExtended"
+        },
+        {
+            "author": "EnragedAntelope",
+            "title": "ComfyUI-Doubutsu-Describer",
+            "reference": "https://github.com/EnragedAntelope/ComfyUI-Doubutsu-Describer",
+            "files": [
+                "https://github.com/EnragedAntelope/ComfyUI-Doubutsu-Describer"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node for ComfyUI allows you to use the Doubutsu small VLM model to describe images. Credit and further information on Doubutsu: [a/https://huggingface.co/qresearch/doubutsu-2b-pt-756](https://huggingface.co/qresearch/doubutsu-2b-pt-756)"
+        },
+        {
+            "author": "jn-jairo",
+            "title": "JNComfy",
+            "reference": "https://github.com/jn-jairo/jn_comfyui",
+            "files": [
+                "https://github.com/jn-jairo/jn_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI extension with patches and nodes.\nPatches:Preview device, Extension device, Temperature, Memory estimation, Optimizations, Easy generic inputs, Easy multiple inputs.\nNODES: Image nodes, Image/Area nodes, Image/Blip nodes, Image/Face nodes, Sampling nodes, Patch nodes, Primitive nodes, Primitive/Conversion nodes, Primitive/Process nodes, Workflow nodes, etc..."
+        },
+        {
+            "author": "akierson",
+            "title": "comfyui-colornodes",
+            "reference": "https://github.com/akierson/comfyui-colornodes",
+            "files": [
+                "https://github.com/akierson/comfyui-colornodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Basic Color Nodes for ComfyUI"
+        },
+        {
+            "author": "akierson",
+            "title": "ComfyUI-textnodes",
+            "reference": "https://github.com/akierson/ComfyUI-textnodes",
+            "files": [
+                "https://github.com/akierson/ComfyUI-textnodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Misc Text Nodes for Comfy UI"
+        },
+        {
+            "author": "ai-shizuka",
+            "title": "ComfyUI-tbox",
+            "reference": "https://github.com/ai-shizuka/ComfyUI-tbox",
+            "files": [
+                "https://github.com/ai-shizuka/ComfyUI-tbox"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ImageLoader, ImageSaver, ImagesSaver, ImageResize, ImageSize."
+        },
+        {
+            "author": "neverbiasu",
+            "title": "ComfyUI-Image-Captioner",
+            "id": "image-captioner",
+            "reference": "https://github.com/neverbiasu/ComfyUI-Image-Captioner",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-Image-Captioner"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI extension for generating captions for your images. Runs on your own system, no external services used, no filter.\nUses various VLMs with APIs to generate captions for images. You can give instructions or ask questions in natural language."
+        },
+        {
+            "author": "neverbiasu",
+            "title": "ComfyUI SAM2(Segment Anything 2)",
+            "id": "sam2",
+            "reference": "https://github.com/neverbiasu/ComfyUI-SAM2",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-SAM2"
+            ],
+            "install_type": "git-clone",
+            "description": "This project adapts the SAM2 to incorporate functionalities from [a/comfyui_segment_anything](https://github.com/storyicon/comfyui_segment_anything). Many thanks to continue-revolution for their foundational work."
+        },
+        {
+            "author": "DriftJohnson",
+            "title": "DJZ-Nodes",
+            "id": "DJZ-Nodes",
+            "reference": "https://github.com/MushroomFleet/DJZ-Nodes",
+            "files": [
+                "https://github.com/MushroomFleet/DJZ-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "AspectSize and other nodes"
+        },
+        {
+            "author": "var1ableX",
+            "title": "ComfyUI_Accessories",
+            "reference": "https://github.com/var1ableX/ComfyUI_Accessories",
+            "files": [
+                "https://github.com/var1ableX/ComfyUI_Accessories"
+            ],
+            "install_type": "git-clone",
+            "description": "Get Mask Dimensions"
+        },
+        {
+            "author": "Makki_Shizu",
+            "title": "comfyui_reimgsize",
+            "id": "reimgsize",
+            "reference": "https://github.com/MakkiShizu/comfyui_reimgsize",
+            "files": [
+                "https://github.com/MakkiShizu/comfyui_reimgsize"
+            ],
+            "install_type": "git-clone",
+            "description": "a simple reimgsize node(s) in comfyui."
+        },
+        {
+            "author": "JosefKuchar",
+            "title": "ComfyUI-AdvancedTiling",
+            "reference": "https://github.com/JosefKuchar/ComfyUI-AdvancedTiling",
+            "files": [
+                "https://github.com/JosefKuchar/ComfyUI-AdvancedTiling"
+            ],
+            "install_type": "git-clone",
+            "description": "Advanced tiling of various shapes for ComfyUI"
+        },
+        {
+            "author": "Fuou Marinas",
+            "title": "ComfyUI-EbSynth",
+            "id": "comfyEbsynth",
+            "reference": "https://github.com/FuouM/ComfyUI-EbSynth",
+            "files": [
+                "https://github.com/FuouM/ComfyUI-EbSynth"
+            ],
+            "install_type": "git-clone",
+            "description": "Run EbSynth, Fast Example-based Image Synthesis and Style Transfer, in ComfyUI."
+        },
+        {
+            "author": "Parameshvadivel",
+            "title": "ComfyUI-SVGview",
+            "id": "svgview",
+            "reference": "https://github.com/Parameshvadivel/ComfyUI-SVGview",
+            "files": [
+                "https://github.com/Parameshvadivel/ComfyUI-SVGview"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Preview SVG"
+        },
+        {
+            "author": "Visionatrix",
+            "title": "ComfyUI-Visionatrix",
+            "id": "visionatrix",
+            "reference": "https://github.com/Visionatrix/ComfyUI-Visionatrix",
+            "files": [
+                "https://github.com/Visionatrix/ComfyUI-Visionatrix"
+            ],
+            "install_type": "git-clone",
+            "description": "The ComfyUI-Visionatrix nodes are designed for convenient ComfyUI to [a/Visionatrix](https://github.com/Visionatrix/Visionatrix) workflow support migration, in particular to extract prompt input params (input, textarea, checkbox, select, range, file) to be used in simplified Visionatrix UI."
+        },
+        {
+            "author": "liangt",
+            "title": "comfyui-loadimagewithsubfolder",
+            "reference": "https://github.com/liangt/comfyui-loadimagewithsubfolder",
+            "files": [
+                "https://github.com/liangt/comfyui-loadimagewithsubfolder"
+            ],
+            "install_type": "git-clone",
+            "description": "Extend LoadImage node with subfolder support"
+        },
+        {
+            "author": "vault-developer",
+            "title": "ImageBlender",
+            "reference": "https://github.com/vault-developer/comfyui-image-blender",
+            "files": [
+                "https://github.com/vault-developer/comfyui-image-blender"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyuiImageBlender is a custom node for ComfyUI. It may be used to blend two images together using a specified blending mode."
+        },
+        {
+            "author": "gisu",
+            "title": "foxpack",
+            "id": "foxp",
+            "reference": "https://github.com/gisu/comfyui-foxpack",
+            "files": [
+                "https://github.com/gisu/comfyui-foxpack"
+            ],
+            "install_type": "git-clone",
+            "description": "Collection of nodes for the automation of workflows"
+        },
+        {
+            "author": "webfiltered",
+            "title": "WTF? - a debug node for ComfyUI",
+            "id": "debugnode",
+            "reference": "https://github.com/webfiltered/DebugNode-ComfyUI",
+            "files": [
+                "https://github.com/webfiltered/DebugNode-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "This node provides a simple way to view the output of many nodes, without leaving ComfyUI."
+        },
+        {
+            "author": "pzc163",
+            "title": "Comfyui-CatVTON",
+            "id": "comfyui-catvton",
+            "reference": "https://github.com/pzc163/Comfyui-CatVTON",
+            "files": [
+                "https://github.com/pzc163/Comfyui-CatVTON"
+            ],
+            "install_type": "git-clone",
+            "description": "Comfyui-CatVTON This repository is the modified official Comfyui node of CatVTON, which is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).\nThe original GitHub project is [a/https://github.com/Zheng-Chong/CatVTON](https://github.com/Zheng-Chong/CatVTON)"
+        },
+        {
+            "author": "pzc163",
+            "title": "Comfyui_MiniCPMv2_6-prompt-generator",
+            "id": "Comfyui_MiniCPMv2_6-prompt-generator",
+            "reference": "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator",
+            "files": [
+                "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an implementation of [MiniCPMv2_6-prompt-generator](https://huggingface.co/pzc163/MiniCPMv2_6-prompt-generator) by [ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for single-image caption, generate prompt by upload image and batch-images Prompt generation."
+        },
+        {
+            "author": "aisabervisionlab",
+            "title": "ComfyUI_merge_ASVL",
+            "id": "merge-asvl",
+            "reference": "https://github.com/aisabervisionlab/ComfyUI_merge_ASVL",
+            "files": [
+                "https://github.com/aisabervisionlab/ComfyUI_merge_ASVL"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a simple node for connecting images. For pictures of the same size, users can choose to fill in vertical in the parameter to connect the pictures vertically or fill in horizontal to connect the pictures horizontally."
+        },
+        {
+            "author": "akatz-ai",
+            "title": "Akatz Custom Nodes",
+            "id": "akatz-ai",
+            "reference": "https://github.com/akatz-ai/ComfyUI-AKatz-Nodes",
+            "files": [
+                "https://github.com/akatz-ai/ComfyUI-AKatz-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple custom node pack for nodes I use in my workflows. Includes Dilate Mask Linear for animating masks."
+        },
+        {
+            "author": "teward",
+            "title": "Comfy-Sentry",
+            "reference": "https://github.com/teward/Comfy-Sentry",
+            "files": [
+                "https://github.com/teward/Comfy-Sentry"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI custom node that activates integration with a Sentry instance for loading. Has no actual nodes."
+        },
+        {
+            "author": "Fuou Marinas",
+            "title": "FM_nodes",
+            "reference": "https://github.com/FuouM/FM_nodes",
+            "files": [
+                "https://github.com/FuouM/FM_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of ComfyUI nodes. Including: WFEN, RealViFormer, ProPIH"
+        },
+        {
+            "author": "Fuou Marinas",
+            "title": "ComfyUI-FirstOrderMM",
+            "id": "fomm",
+            "reference": "https://github.com/FuouM/ComfyUI-FirstOrderMM",
+            "files": [
+                "https://github.com/FuouM/ComfyUI-FirstOrderMM"
+            ],
+            "install_type": "git-clone",
+            "description": "Run [a/First Order Motion Model](https://github.com/AliaksandrSiarohin/first-order-model) for Image Animation in ComfyUI."
+        },
+        {
+            "author": "Fuou Marinas",
+            "title": "ComfyUI-StyleTransferPlus",
+            "id": "styletransferplus",
+            "reference": "https://github.com/FuouM/ComfyUI-StyleTransferPlus",
+            "files": [
+                "https://github.com/FuouM/ComfyUI-StyleTransferPlus"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Neural Neighbor, CAST, EFDM, MicroAST, Coral Color Transfer."
+        },
+        {
+            "author": "MiddleKD",
+            "title": "ComfyUI-mem-safe-wrapper",
+            "reference": "https://github.com/MiddleKD/ComfyUI-mem-safe-wrapper",
+            "files": [
+                "https://github.com/MiddleKD/ComfyUI-mem-safe-wrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI's Smart Memory Management efficiently manages RAM, GPU memory, and garbage collection. This feature keeps frequently used models in memory to increase inference speed, and dynamically releases less important models when memory is low to optimize resources. However, not all ComfyUI custom node developers create nodes that are compatible with Smart memory management. This includes several impressive models. Mem-safe-wrapper is a custom node that wraps these model nodes to enable ComfyUI's Smart memory management capabilities."
+        },
+        {
+            "author": "MiddleKD",
+            "title": "ComfyUI-productfix",
+            "reference": "https://github.com/MiddleKD/ComfyUI-productfix",
+            "files": [
+                "https://github.com/MiddleKD/ComfyUI-productfix"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a ComfyUI custom node that helps generate images while preserving the text, logos, and details of e-commerce products."
+        },
+        {
+            "author": "PowerHouseMan",
+            "title": "ComfyUI-AdvancedLivePortrait",
+            "id": "advancedliveportrait",
+            "reference": "https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait",
+            "files": [
+                "https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait"
+            ],
+            "install_type": "git-clone",
+            "description": "AdvancedLivePortrait with Facial expression editor"
+        },
+        {
+            "author": "cdxOo",
+            "title": "Text Node With Comments (@cdxoo)",
+            "reference": "https://github.com/cdxOo/comfyui-text-node-with-comments",
+            "files": [
+                "https://github.com/cdxOo/comfyui-text-node-with-comments"
+            ],
+            "install_type": "git-clone",
+            "description": "multiline text node that strips c-style comments (i.e.'//' and '/* ... */') before passing output string downstream"
+        },
+        {
+            "author": "noarche",
+            "title": "noarche/Color Enhance",
+            "id": "color-enhance",
+            "reference": "https://github.com/noarche/sd-webui-color-enhance",
+            "files": [
+                "https://github.com/noarche/sd-webui-color-enhance"
+            ],
+            "install_type": "git-clone",
+            "description": "Script for [a/AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) and node for ComfyUI to enhance colors.\nThis is the same algorithm GIMP/GEGL uses for color enhancement. The gist of this implementation is that it converts the color space to [CIELCh(ab) and normalizes the chroma (or '[a/colorfulness](https://en.wikipedia.org/wiki/Colorfulness)') component. Original source can be found in the link below."
+        },
+        {
+            "author": "emojiiii",
+            "title": "ComfyUI_Emojiiii_Custom_Nodes",
+            "reference": "https://github.com/emojiiii/ComfyUI_Emojiiii_Custom_Nodes",
+            "files": [
+                "https://github.com/emojiiii/ComfyUI_Emojiiii_Custom_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:MultiTextEncode, KolorsMultiTextEncode"
+        },
+        {
+            "author": "aonekoss",
+            "title": "ComfyUI-Counter",
+            "reference": "https://github.com/oleksandr612/ComfyUI-Counter",
+            "files": [
+                "https://github.com/oleksandr612/ComfyUI-Counter"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple counter, when pressing 'Queue Prompt' resets the count."
+        },
+        {
+            "author": "syaofox",
+            "title": "ComfyUI_FoxTools",
+            "reference": "https://github.com/syaofox/ComfyUI_FoxTools",
+            "files": [
+                "https://github.com/syaofox/ComfyUI_FoxTools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:BatchImageFromList, Load Face Occlusion Model, Create Face Mask, Simple FaceAlign, Cacul FaceAlign, Gen Blurbord, Face Align, Face Rotate, ImageAdd, LoadImageList, SaveImage Plus, RegTextFind"
+        },
+        {
+            "author": "alpertunga-bile",
+            "title": "image-caption-comfyui",
+            "reference": "https://github.com/alpertunga-bile/image-caption-comfyui",
+            "files": [
+                "https://github.com/alpertunga-bile/image-caption-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Using image caption models to extract prompts in ComfyUI"
+        },
+        {
+            "author": "Anibaaal",
+            "title": "ComfyUI UX Nodes",
+            "reference": "https://github.com/Anibaaal/ComfyUI-UX-Nodes",
+            "files": [
+                "https://github.com/Anibaaal/ComfyUI-UX-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Easy Resolution Picker, Save Diffusion Model, Load Checkpoint BNB On the fly, Load UNET BNB On the fly"
+        },
+        {
+            "author": "NMWave",
+            "title": "Image Captioning and Tagging Assistor Nodes",
+            "id": "naderimagecaptionandtag",
+            "reference": "https://github.com/NMWave/ComfyUI-Nader-Tagging",
+            "files": [
+                "https://github.com/NMWave/ComfyUI-Nader-Tagging"
+            ],
+            "install_type": "git-clone",
+            "description": "A small set of useful nodes which aid with the tagging process by splitting tags and strings, alternating tags from multiple sources and removing duplicates."
+        },
+        {
+            "author": "caleboleary",
+            "title": "Arc2Face ComfyUI Node Library",
+            "reference": "https://github.com/caleboleary/ComfyUI-Arc2Face",
+            "files": [
+                "https://github.com/caleboleary/ComfyUI-Arc2Face"
+            ],
+            "install_type": "git-clone",
+            "description": "This ComfyUI node library builds upon the work done to train the [a/Arc2Face](https://github.com/foivospar/Arc2Face) model by foivospar. It provides a set of nodes for ComfyUI that allow users to extract face embeddings, generate images based on these embeddings, and perform image-to-image transformations."
+        },
+        {
+            "author": "GeekyGhost",
+            "title": "ComfyUI-GeekyRemB",
+            "reference": "https://github.com/GeekyGhost/ComfyUI-GeekyRemB",
+            "files": [
+                "https://github.com/GeekyGhost/ComfyUI-GeekyRemB"
+            ],
+            "install_type": "git-clone",
+            "description": "GeekyRemB is a powerful and versatile image processing node for ComfyUI, designed to remove backgrounds from images with advanced customization options. This node leverages the rembg library and offers a wide range of features for fine-tuning the background removal process and enhancing the resulting images."
+        },
+        {
+            "author": "Dobidop",
+            "title": "Dobidop ComfyStereo",
+            "id": "simple-stereoscopic",
+            "reference": "https://github.com/Dobidop/ComfyStereo",
+            "files": [
+                "https://github.com/Dobidop/ComfyStereo"
+            ],
+            "install_type": "git-clone",
+            "description": "Two simple nodes for stereoscopic image generation. Nodes: Stereo Image Node - a basic port from the Automatic1111 stereo script in thygate/stable-diffusion-webui-depthmap-script, LazyStereo - a naïve stereo image generator"
+        },
+        {
+            "author": "SeniorPioner",
+            "title": "SP-Nodes",
+            "id": "spnodes",
+            "reference": "https://github.com/bananasss00/ComfyUI-SP-Nodes",
+            "files": [
+                "https://github.com/bananasss00/ComfyUI-SP-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Node Pack: PromptChecker for token toggling, KoboldCPP API, ModelMerging, Telegram-Bot-API, and more"
+        },
+        {
+            "author": "leeguandong",
+            "title": "ComfyUI_M3Net",
+            "reference": "https://github.com/leeguandong/ComfyUI_M3Net",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_M3Net"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI for [a/M3Net](https://github.com/I2-Multimedia-Lab/M3Net)"
+        },
+        {
+            "author": "leeguandong",
+            "title": "ComfyUI_InternVL2",
+            "reference": "https://github.com/leeguandong/ComfyUI_InternVL2",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_InternVL2"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI for [a/InternVL](https://github.com/OpenGVLab/InternVL)"
+        },
+        {
+            "author": "leeguandong",
+            "title": "ComfyUI_LLaSM",
+            "reference": "https://github.com/leeguandong/ComfyUI_LLaSM",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_LLaSM"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI for [a/LLaSM](https://huggingface.co/spaces/LinkSoul/LLaSM)"
+        },
+        {
+            "author": "leeguandong",
+            "title": "ComfyUI nodes to use VideoEditing",
+            "reference": "https://github.com/leeguandong/ComfyUI_VideoEditing",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_VideoEditing"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Load Video to Images, Image to Canny, ControlNet Model Loader, VEDit Model Loader, VEdit Sampler. [a/https://github.com/SingleZombie/DiffusersExample/tree/main/ReplaceAttn](https://github.com/SingleZombie/DiffusersExample/tree/main/ReplaceAttn)"
+        },
+        {
+            "author": "leeguandong",
+            "title": "ComfyUI nodes to use CrossImageAttention",
+            "reference": "https://github.com/leeguandong/ComfyUI_CrossImageAttention",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_CrossImageAttention"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI for [a/CrossImageAttention](https://github.com/garibida/cross-image-attention)"
+        },
+        {
+            "author": "leeguandong",
+            "title": "ComfyUI nodes to use Style-Aligned",
+            "reference": "https://github.com/leeguandong/ComfyUI_Style_Aligned",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_Style_Aligned"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI for [a/style-aligned](https://github.com/google/style-aligned)"
+        },
+        {
+            "author": "leeguandong",
+            "title": "ComfyUI_VisualAttentionMap",
+            "reference": "https://github.com/leeguandong/ComfyUI_VisualAttentionMap",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_VisualAttentionMap"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:HF ModelLoader, Show Images, Text2Image Inference, Decode Latent, Show CrossAttn Map, Show SelfAttn Map"
+        },
+        {
+            "author": "leeguandong",
+            "title": "ComfyUI nodes to use MasaCtrl",
+            "reference": "https://github.com/leeguandong/ComfyUI_MasaCtrl",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_MasaCtrl"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use MasaCtrl"
+        },
+        {
+            "author": "lenskikh",
+            "title": "Propmt Worker",
+            "reference": "https://github.com/lenskikh/ComfyUI-Prompt-Worker",
+            "files": [
+                "https://github.com/lenskikh/ComfyUI-Prompt-Worker"
+            ],
+            "install_type": "git-clone",
+            "description": "Node:Prompt Worker. A text manipulation node for postprocessing of prompt."
+        },
+        {
+            "author": "kappa54",
+            "title": "ComfyUI Usability",
+            "id": "comfyui_usability",
+            "reference": "https://github.com/kappa54m/ComfyUI_Usability",
+            "files": [
+                "https://github.com/kappa54m/ComfyUI_Usability"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes intended to improve usability."
+        },
+        {
+            "author": "IuvenisSapiens",
+            "title": "ComfyUI_MiniCPM-V-2_6-int4",
+            "id": "minicpm-v-2_6-int4",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an implementation of [a/MiniCPM-V-2_6-int4](https://github.com/OpenBMB/MiniCPM-V) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses."
+        },
+        {
+            "author": "IuvenisSapiens",
+            "title": "ComfyUI_Qwen2-Audio-7B-Instruct-Int4",
+            "id": "qwen2-audio-7b-instruct-int4",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-Audio-7B-Instruct-Int4",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-Audio-7B-Instruct-Int4"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an implementation of [a/Qwen2-Audio-7B-Instruct-Int4](https://github.com/QwenLM/Qwen2-Audio) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for text-based queries and audio queries to generate captions or responses."
+        },
+        {
+            "author": "mltask",
+            "title": "MLTask_ComfyUI",
+            "id": "mltask_comfyui",
+            "reference": "https://github.com/misterjoessef/MLTask_ComfyUI",
+            "files": [
+                "https://github.com/misterjoessef/MLTask_ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "a set of nodes to help u run ai code using MLTask"
+        },
+        {
+            "author": "smlbiobot",
+            "title": "ComfyUI-Flux-Replicate-API",
+            "id": "replicate-api",
+            "reference": "https://github.com/smlbiobot/ComfyUI-Flux-Replicate-API",
+            "files": [
+                "https://github.com/smlbiobot/ComfyUI-Flux-Replicate-API"
+            ],
+            "install_type": "git-clone",
+            "description": "Flux Pro via Replicate API\nCreate API key at [a/https://replicate.com/account/api-tokens](https://replicate.com/account/api-tokens)\nCopy config.ini.example to config.ini and put the replicate key there."
+        },
+        {
+            "author": "Jjulianadv",
+            "title": "Wild Divide",
+            "reference": "https://github.com/Julian-adv/WildDivide",
+            "files": [
+                "https://github.com/Julian-adv/WildDivide"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides the ability to build prompts using wildcards for each region of a split image."
+        },
+        {
+            "author": "goburiin",
+            "title": "nsfwrecog-comfyui",
+            "reference": "https://github.com/goburiin/nsfwrecog-comfyui",
+            "files": [
+                "https://github.com/goburiin/nsfwrecog-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:NSFW Detector"
+        },
+        {
+            "author": "eastoc",
+            "title": "Semantic-SAM",
+            "reference": "https://github.com/eastoc/ComfyUI_SemanticSAM",
+            "files": [
+                "https://github.com/eastoc/ComfyUI_SemanticSAM"
+            ],
+            "install_type": "git-clone",
+            "description": "Segment and Recognize Anything at Any Granularity."
+        },
+        {
+            "author": "LING-APE",
+            "title": "ComfyUI-PixelResolutionCalculator",
+            "id": "PixelCalulator",
+            "reference": "https://github.com/Ling-APE/ComfyUI-PixelResolutionCalculator",
+            "files": [
+                "https://github.com/Ling-APE/ComfyUI-PixelResolutionCalculator"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple resuluition calculator to convert pixel resolution and aspect ratio to laten friendlt pixel width and height size."
+        },
+        {
+            "author": "Cyber-Blacat",
+            "title": "ComfyUI-Yuan",
+            "reference": "https://github.com/Cyber-Blacat/ComfyUI-Yuan",
+            "files": [
+                "https://github.com/Cyber-Blacat/ComfyUI-Yuan"
+            ],
+            "install_type": "git-clone",
+            "description": "Some simple&practical ComfyUI image processing nodes."
+        },
+        {
+            "author": "blackcodetavern",
+            "title": "ComfyUI-Benripack",
+            "reference": "https://github.com/blackcodetavern/ComfyUI-Benripack",
+            "files": [
+                "https://github.com/blackcodetavern/ComfyUI-Benripack"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Benripack is an extension for ComfyUI that provides a CharacterPipe node. This node allows for managing various elements such as images, prompts, and models in a single structure, simplifying the workflow for character-based image generation."
+        },
+        {
+            "author": "MohammadAboulEla",
+            "title": "ComfyUI-iTools",
+            "reference": "https://github.com/MohammadAboulEla/ComfyUI-iTools",
+            "files": [
+                "https://github.com/MohammadAboulEla/ComfyUI-iTools"
+            ],
+            "install_type": "git-clone",
+            "description": "The iTools are some quality of life nodes, like read a possible prompt used to create an image, save a prompt to file as a new line, read prompts from a multiline file."
+        },
+        {
+            "author": "Hellrunner2k",
+            "title": "Hellrunner's Magical Nodes",
+            "reference": "https://github.com/Hellrunner2k/ComfyUI-HellrunnersMagicalNodes",
+            "files": [
+                "https://github.com/Hellrunner2k/ComfyUI-HellrunnersMagicalNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Magical Save Node, Thermal Latenator. This package contains a collection of neat nodes that are supposed to ease your comfy-flow."
+        },
+        {
+            "author": "caleboleary",
+            "title": "Comfyui-calbenodes",
+            "reference": "https://github.com/caleboleary/Comfyui-calbenodes",
+            "files": [
+                "https://github.com/caleboleary/Comfyui-calbenodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:CharacterManagerNode, FilmGrain, FlipFlopperSameArch"
+        },
+        {
+            "author": "Raapys",
+            "title": "LatentGC Aggressive",
+            "id": "latentgcaggressive",
+            "reference": "https://github.com/Raapys/ComfyUI-LatentGC_Aggressive",
+            "files": [
+                "https://github.com/Raapys/ComfyUI-LatentGC_Aggressive"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple latent-passthrough node for running a full VRAM cleanup between workflow stages."
+        },
+        {
+            "author": "Pheat-AI",
+            "title": "Remade_nodes",
+            "reference": "https://github.com/Pheat-AI/Remade_nodes",
+            "files": [
+                "https://github.com/Pheat-AI/Remade_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Batch Image Blend by Mask"
+        },
+        {
+            "author": "OgreLemonSoup",
+            "title": "Load Image Gallery",
+            "id": "LoadImageGallery",
+            "reference": "https://github.com/OgreLemonSoup/ComfyUI-Load-Image-Gallery",
+            "files": [
+                "https://github.com/OgreLemonSoup/ComfyUI-Load-Image-Gallery"
+            ],
+            "install_type": "git-clone",
+            "description": "Adds a gallery to the Load Image node"
+        },
+        {
+            "author": "OuticNZ",
+            "title": "ComfyUI-Simple-Of-Complex",
+            "reference": "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex",
+            "files": [
+                "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Text Switch 2 Way, Prompt Tidy, Text With Context."
+        },
+        {
+            "author": "justUmen",
+            "title": "Bjornulf_custom_nodes",
+            "reference": "https://github.com/justUmen/Bjornulf_custom_nodes",
+            "files": [
+                "https://github.com/justUmen/Bjornulf_custom_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Ollama, Green Screen to Transparency, Save image for Bjornulf LobeChat, Text with random Seed, Random line from input, Combine images (Background+Overlay alpha), Image to grayscale (black & white), Remove image Transparency (alpha), Resize Image, ..."
+        },
+        {
+            "author": "jstit",
+            "title": "comfyui_custom_node_image",
+            "reference": "https://github.com/jstit/comfyui_custom_node_image",
+            "files": [
+                "https://github.com/jstit/comfyui_custom_node_image"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ImageCropCircle."
+        },
+        {
+            "author": "jstit",
+            "title": "ComfyUI-HeadshotPro",
+            "reference": "https://github.com/HeadshotPro/ComfyUI-HeadshotPro",
+            "files": [
+                "https://github.com/HeadshotPro/ComfyUI-HeadshotPro"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Download Dreambooth Checkpoint, Get Random Value From List, Load Canny Pose Face, Transparent to White Background, Download Flux Lora."
+        },
+        {
+            "author": "Isi-dev",
+            "title": "UniAnimate Nodes for ComfyUI",
+            "id": "comfyuiunianimatenodes",
+            "reference": "https://github.com/Isi-dev/ComfyUI-UniAnimate-W",
+            "files": [
+                "https://github.com/Isi-dev/ComfyUI-UniAnimate-W"
+            ],
+            "install_type": "git-clone",
+            "description": "These are nodes to animate an image with a reference video using UniAnimate. [w/Name conflict with AIFSH/ComfyUI-UniAnimate. Cannot install simulatenously.]"
+        },
+        {
+            "author": "XLabs-AI",
+            "title": "x-flux-comfyui",
+            "reference": "https://github.com/XLabs-AI/x-flux-comfyui",
+            "files": [
+                "https://github.com/XLabs-AI/x-flux-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Load Flux LoRA, Load Flux ControlNet, Apply Flux ControlNet, Xlabs Sampler"
+        },
+        {
+            "author": "okgo4",
+            "title": "ComfyUI-Mosaic-Mask",
+            "reference": "https://github.com/okgo4/ComfyUI-Mosaic-Mask",
+            "files": [
+                "https://github.com/okgo4/ComfyUI-Mosaic-Mask"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Mosaic-Mask is an automatic tool designed to detect and mask mosaic areas in input images."
+        },
+        {
+            "author": "ChrisColeTech",
+            "title": "ComfyUI-Line-counter",
+            "reference": "https://github.com/ChrisColeTech/ComfyUI-Line-counter",
+            "files": [
+                "https://github.com/ChrisColeTech/ComfyUI-Line-counter"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node package for ComfyUI is designed to streamline your workflow with powerful file-counting capabilities."
+        },
+        {
+            "author": "ChrisColeTech",
+            "title": "ComfyUI-Elegant-Resource-Monitor",
+            "reference": "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor",
+            "files": [
+                "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node for ComfyUI will add a simple and elegant resource monitor."
+        },
+        {
+            "author": "dadoirie",
+            "title": "ComfyUI_Dados_Nodes",
+            "reference": "https://github.com/dadoirie/ComfyUI_Dados_Nodes",
+            "files": [
+                "https://github.com/dadoirie/ComfyUI_Dados_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI_Dados_Nodes is a collection of custom nodes for ComfyUI, designed to enhance functionality and provide integration with various services, including Pinterest. This privacy policy explains how these nodes handle user data.\nNOTE: [a/privacy_policy](https://github.com/dadoirie/ComfyUI_Dados_Nodes/blob/master/privacy_policy.md)"
+        },
+        {
+            "author": "fanfanfan",
+            "title": "chinese_clip_encode",
+            "id": "chinese_clip_encode",
+            "reference": "https://github.com/yuan199696/chinese_clip_encode",
+            "files": [
+                "https://github.com/yuan199696/chinese_clip_encode"
+            ],
+            "install_type": "git-clone",
+            "description": "Support input of Chinese prompts."
+        },
+        {
+            "author": "fanfanfan",
+            "title": "add_text_2_img",
+            "id": "add_text_2_img",
+            "reference": "https://github.com/yuan199696/add_text_2_img",
+            "files": [
+                "https://github.com/yuan199696/add_text_2_img"
+            ],
+            "install_type": "git-clone",
+            "description": "Support adding custom text to the generated images."
+        },
+        {
+            "author": "fairy-root",
+            "title": "Ollama and Llava Vision integration for ComfyUI",
+            "reference": "https://github.com/fairy-root/comfyui-ollama-llms",
+            "files": [
+                "https://github.com/fairy-root/comfyui-ollama-llms"
+            ],
+            "install_type": "git-clone",
+            "description": "Ollama and Llava vision integration for ComfyUI"
+        },
+        {
+            "author": "fairy-root",
+            "title": "Flux Prompt Generator for ComfyUI",
+            "reference": "https://github.com/fairy-root/Flux-Prompt-Generator",
+            "files": [
+                "https://github.com/fairy-root/Flux-Prompt-Generator"
+            ],
+            "install_type": "git-clone",
+            "description": "A flexible and customizable prompt generator for generating detailed and creative prompts for image generation models for ComfyUI"
+        },
+        {
+            "author": "ryanontheinside",
+            "title": "RyanOnTheInside",
+            "reference": "https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside",
+            "files": [
+                "https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes introducing particle simulations, optical flow, audio manipulation & reactivity, and temporal masks"
+        },
+        {
+            "author": "ControlAltAI",
+            "title": "ControlAltAI Nodes",
+            "id": "controlaltai",
+            "reference": "https://github.com/gseth/ControlAltAI-Nodes",
+            "files":
+            [
+                "https://github.com/gseth/ControlAltAI-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Quality of Life ComfyUI nodes starting with Flux Resolution Calculator and Flux Sampler."
+        },
+        {
+            "author": "OliverCrosby",
+            "title": "ComfyUI Minimap",
+            "id": "minimap",
+            "reference": "https://github.com/OliverCrosby/Comfyui-Minimap",
+            "files": [
+                "https://github.com/OliverCrosby/Comfyui-Minimap"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple minimap in the bottom-right of the window showing the full workflow, left click to navigate"
+        },
+        {
+            "author": "doomy23",
+            "title": "ComfyUI-D00MYsNodes",
+            "reference": "https://github.com/doomy23/ComfyUI-D00MYsNodes",
+            "files": [
+                "https://github.com/doomy23/ComfyUI-D00MYsNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Images_Converter, Show_Text, Strings_From_List, Save_Text, Random_Images, Load_Images_From_Paths, JSPaint."
+        },
+        {
+            "author": "Sieyalixnet",
+            "title": "ComfyUI_Textarea_Loaders",
+            "reference": "https://github.com/Sieyalixnet/ComfyUI_Textarea_Loaders",
+            "files": [
+                "https://github.com/Sieyalixnet/ComfyUI_Textarea_Loaders"
+            ],
+            "install_type": "git-clone",
+            "description": "An easy custom node that makes the some loaders' input as Text instead of file selector.\nFor example, there are many characters in different loras respectively. If you want to generate different characters' pictures, you have to select corresponding lora, and then edit the prompt. It may cost much time.\nTo solve this problem, You can use it with a chrome extension https://github.com/Sieyalixnet/ComfyUI-Prompt-Formatter-Extension that makes the queue prompt easier when you dealing with massive loras and prompt."
+        },
+        {
+            "author": "markuryy",
+            "title": "ComfyUI Flux Prompt Saver",
+            "reference": "https://github.com/markuryy/ComfyUI-Flux-Prompt-Saver",
+            "files": [
+                "https://github.com/markuryy/ComfyUI-Flux-Prompt-Saver"
+            ],
+            "install_type": "git-clone",
+            "description": "The Flux Prompt Saver is a custom node for ComfyUI that works in conjunction with the Flux Sampler Parameters node from the ComfyUI Essentials package. This node allows you to save images with metadata that includes information from the Flux Sampler Parameters pipeline."
+        },
+        {
+            "author": "eesahe",
+            "title": "ComfyUI-eesahesNodes",
+            "reference": "https://github.com/EeroHeikkinen/ComfyUI-eesahesNodes",
+            "files": [
+                "https://github.com/EeroHeikkinen/ComfyUI-eesahesNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "InstantX's Flux union ControlNet loader and implementation"
+        },
+        {
+            "author": "anhkhoatranle30",
+            "title": "Handy Node ComfyUI",
+            "id": "handynode",
+            "reference": "https://github.com/anhkhoatranle30/Handy-Nodes-ComfyUI",
+            "files": [
+                "https://github.com/anhkhoatranle30/Handy-Nodes-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a pack with some handy nodes for ComfyUI."
+        },
+        {
+            "author": "Artiprocher",
+            "title": "Dashscope FLUX API for ComfyUI",
+            "id": "dashscope_api",
+            "reference": "https://github.com/modelscope/comfyscope",
+            "files": [
+                "https://github.com/modelscope/comfyscope"
+            ],
+            "install_type": "git-clone",
+            "description": "The FLUX model API from DashScope, developed by Black Forest Labs, offers superior image generation capabilities with optimized support for Chinese prompts, achieving a commendable tradeoff between performance and the quality of generated images compared to other open-source models."
+        },
+        {
+            "author": "lucafoscili",
+            "title": "LF Nodes",
+            "reference": "https://github.com/lucafoscili/comfyui-lf",
+            "files": [
+                "https://github.com/lucafoscili/comfyui-lf"
+            ],
+            "install_type": "git-clone",
+            "description": "JSON Nodes, Large Language Model Nodes, Logic Nodes, Workflow Nodes."
+        },
+        {
+            "author": "JPrevots",
+            "title": "ComfyUI-PhyCV",
+            "reference": "https://github.com/JPrevots/ComfyUI-PhyCV",
+            "files": [
+                "https://github.com/JPrevots/ComfyUI-PhyCV"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:PhyCV - Phase-Stretch Transform (PST), PhyCV - VEViD, PhyCV - Page."
+        },
+        {
+            "author": "rnbwdsh",
+            "title": "Latent Walk",
+            "reference": "https://github.com/rnbwdsh/ComfyUI-LatentWalk",
+            "files": [
+                "https://github.com/rnbwdsh/ComfyUI-LatentWalk"
+            ],
+            "install_type": "git-clone",
+            "description": "Latent space walks for latents, conditionals and noise"
+        },
+        {
+            "author": "kudou-reira",
+            "title": "ComfyUI_StringToHex",
+            "reference": "https://github.com/kudou-reira/ComfyUI_StringToHex",
+            "files": [
+                "https://github.com/kudou-reira/ComfyUI_StringToHex"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a simple ComfyUI node that will take in a string of 'color' (i.e. 'blue') and output a hex color format."
+        },
+        {
+            "author": "phyblas",
+            "title": "paint-by-example @ ComfyUI",
+            "id": "paintbyexample",
+            "reference": "https://github.com/phyblas/paint-by-example_comfyui",
+            "files": [
+                "https://github.com/phyblas/paint-by-example_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Implementation of paint-by-example on ComfyUI"
+        },
+        {
+            "author": "aidenli",
+            "title": "ComfyUI_NYJY",
+            "id": "NYJY",
+            "reference": "https://github.com/aidenli/ComfyUI_NYJY",
+            "files": [
+                "https://github.com/aidenli/ComfyUI_NYJY"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Translate, JoyTag, JoyCaption."
+        },
+        {
+            "author": "Pseudotools",
+            "title": "Pseudocomfy",
+            "id": "pseudocomfy",
+            "reference": "https://github.com/Pseudotools/Pseudocomfy",
+            "files": [
+                "https://github.com/Pseudotools/Pseudocomfy"
+            ],
+            "install_type": "git-clone",
+            "description": "A package designed to enable multi-regional prompting for architectural rendering, integrated with the Rhino Pseudorandom plugin."
+        },
+        {
+            "author": "TTPlanetPig",
+            "title": "Comfyui_TTP_Toolset",
+            "reference": "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset",
+            "files": [
+                "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a workflow for my simple logic amazing upscale node for DIT model. it can be common use for Flux,Hunyuan,SD3 It can simple tile the initial image into pieces and then use image-interrogator to get each tile prompts for more accurate upscale process. The condition will be properly handled and the hallucination will be significantly eliminated."
+        },
+        {
+            "author": "TTPlanetPig",
+            "title": "for comfyui image proprocessor",
+            "reference": "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor",
+            "files": [
+                "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor"
+            ],
+            "install_type": "git-clone",
+            "description": "Adapt for Hunyuan now\nNOTE: The files in the repo are not organized, which may lead to update issues."
+        },
+        {
+            "author": "camenduru",
+            "title": "ComfyUI-TostAI",
+            "reference": "https://github.com/camenduru/ComfyUI-TostAI",
+            "files": [
+                "https://github.com/camenduru/ComfyUI-TostAI"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES: SendToTostAI"
+        },
+        {
+            "author": "xlinx",
+            "title": "ComfyUI-decadetw-auto-prompt-llm",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-auto-prompt-llm",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-auto-prompt-llm"
+            ],
+            "install_type": "git-clone",
+            "description": "Auto prompt by LLM and LLM-Vision. (Trigger more details hiding in model)"
+        },
+        {
+            "author": "xlinx",
+            "title": "ComfyUI-decadetw-auto-messaging-realtime",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime"
+            ],
+            "install_type": "git-clone",
+            "description": "Auto messging sd-image and sd-info to mobile phone IM realtime. (LINE | Telegram | Discord)"
+        },
+        {
+            "author": "xlinx",
+            "title": "ComfyUI-decadetw-spout-syphon-im-vj",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj"
+            ],
+            "install_type": "git-clone",
+            "description": "I'm SD-VJ. (share SD-generating-process in realtime by gpu)"
+        },
+        {
+            "author": "wmpmiles",
+            "title": "ComfyUI-GTF-Utilities",
+            "reference": "https://github.com/wmpmiles/ComfyUI-GTF-Utilities",
+            "files": [
+                "https://github.com/wmpmiles/ComfyUI-GTF-Utilities"
+            ],
+            "install_type": "git-clone",
+            "description": "Generalised 'image' processing nodes for images, masks, latents, and combinations thereof."
+        },
+        {
+            "author": "nonnonstop",
+            "title": "comfyui-faster-loading",
+            "reference": "https://github.com/nonnonstop/comfyui-faster-loading",
+            "files": [
+                "https://github.com/nonnonstop/comfyui-faster-loading"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension applies a patch that limits the model loading speed when using an HDD in a Windows environment. See [a/comfyanonymous/ComfyUI#1992](https://github.com/comfyanonymous/ComfyUI/issues/1992). [w/As this patch is only useful in very limited environments, its installation is not recommended under normal circumstances. Memory usage may increase.]"
+        },
+        {
+            "author": "Dr.Jusseaux",
+            "title": "Diffusers-in-ComfyUI",
+            "reference": "https://github.com/maepopi/Diffusers-in-ComfyUI",
+            "files": [
+                "https://github.com/maepopi/Diffusers-in-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of ComfyUI custom nodes that allow to use most Diffusers pipelines and components in Comfy(Txt2Img, Img2Img, Inpainting, LoRAS, B-LoRAS, ControlNet...)"
+        },
+        {
+            "author": "niknah",
+            "title": "Quick Connections",
+            "id": "quick-connections",
+            "reference": "https://github.com/niknah/quick-connections",
+            "files": [
+                "https://github.com/niknah/quick-connections"
+            ],
+            "install_type": "git-clone",
+            "description": "Quick connections, Circuit board connections"
+        },
+        {
+            "author": "daryltucker",
+            "title": "ComfyUI-LoadFiles",
+            "id": "LoadFiles",
+            "reference": "https://github.com/daryltucker/ComfyUI-LoadFiles",
+            "files": [
+                "https://github.com/daryltucker/ComfyUI-LoadFiles"
+            ],
+            "install_type": "git-clone",
+            "description": "The primary goal of these nodes is to provide a way to access files generated by ComfyUI workflows, local to the machine running ComfyUI. These nodes should always return an updated list of files when triggered."
+        },
+        {
+            "author": "X-T-E-R",
+            "title": "ComfyUI Easy Civitai (XTNodes)",
+            "reference": "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes",
+            "files": [
+                "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Load your model with image previews, or directly download and import Civitai models via URL. This custom ComfyUI node supports Checkpoint, LoRA, and LoRA Stack models, offering features like bypass options."
+        },
+        {
+            "author": "hyejinlee12",
+            "title": "ComfyUI-Fill-Image-for-Outpainting",
+            "id": "fill-image-for-outpainting",
+            "reference": "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting",
+            "files": [
+                "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting"
+            ],
+            "install_type": "git-clone",
+            "description": "This node is to fill image for outpainting(inpainting)\nFill image using cv2 methods(cv2_ns, cv2_telea and edge_pad)"
+        },
+        {
+            "author": "yhayano-ponotech",
+            "title": "ComfyUI-Fal-API-Flux",
+            "reference": "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux",
+            "files": [
+                "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository contains custom nodes for ComfyUI that integrate the fal.ai FLUX.1 [dev] with LoRA API, specifically for text-to-image generation. These nodes allow you to use the FLUX.1 model directly within your ComfyUI workflows."
+        },
+        {
+            "author": "Rvage0815",
+            "title": "ComfyUI-RvTools",
+            "reference": "https://github.com/Rvage0815/ComfyUI-RvTools",
+            "files": [
+                "https://github.com/Rvage0815/ComfyUI-RvTools"
+            ],
+            "install_type": "git-clone",
+            "description": "With this suit, you have a lot of nodes in one place to build your workflow."
+        },
+        {
+            "author": "erosDiffusion",
+            "title": "Compositor Node",
+            "reference": "https://github.com/erosDiffusion/ComfyUI-enricos-nodes",
+            "files": [
+                "https://github.com/erosDiffusion/ComfyUI-enricos-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "pass up to 8 images and visually place, rotate and scale them to build the perfect composition. group move and group rescale. remember their position and scaling value across generations to easy swap images. use the buffer zone to to park an asset you don't want to use or easily reach transformations controls"
+        },
+        {
+            "author": "Steudio",
+            "title": "ComfyUI_Steudio",
+            "reference": "https://github.com/Steudio/ComfyUI_Steudio",
+            "files": [
+                "https://github.com/Steudio/ComfyUI_Steudio"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: TileSplit (Dynamic), TileMerge (Dynamic)"
+        },
+        {
+            "author": "Assistant",
+            "title": "ComfyUI-PromptList",
+            "reference": "https://github.com/NakamuraShippo/ComfyUI-PromptList",
+            "files": [
+                "https://github.com/NakamuraShippo/ComfyUI-PromptList"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom node for managing prompts with CSV integration"
+        },
+        {
+            "author": "nux1111",
+            "title": "ComfyUI_NetDist_Plus",
+            "reference": "https://github.com/nux1111/ComfyUI_NetDist_Plus",
+            "files": [
+                "https://github.com/nux1111/ComfyUI_NetDist_Plus"
+            ],
+            "install_type": "git-clone",
+            "description": "Run ComfyUI workflows on multiple local GPUs/networked machines with options to edit the json values within comfyui.\nOriginal repo: [a/city96/ComfyUI_NetDist](https://github.com/city96/ComfyUI_NetDist)"
+        },
+        {
+            "author": "mittimi",
+            "title": "ComfyUI_mittimiLoadPreset",
+            "id": "comfyui-mittimi-load-preset",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiLoadPreset",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiLoadPreset"
+            ],
+            "install_type": "git-clone",
+            "description": "The system selects and loads preset."
+        },
+        {
+            "author": "mittimi",
+            "title": "ComfyUI_mittimiRecalculateSize",
+            "id": "comfyui_mittimi_recalculate_size",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize"
+            ],
+            "install_type": "git-clone",
+            "description": "This is the node that performs the magnification calculation."
+        },
+        {
+            "author": "mittimi",
+            "title": "ComfyUI_mittimiWidthHeight",
+            "id": "comfyui_mittimi_width_height",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiWidthHeight",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiWidthHeight"
+            ],
+            "install_type": "git-clone",
+            "description": "This node can easily switch between vertical and horizontal values with a single button."
+        },
+        {
+            "author": "RodrigoSKohl",
+            "title": "Panoramic Image Stitcher",
+            "reference": "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher",
+            "files": [
+                "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple Node to make panoramic images"
+        },
+        {
+            "author": "nicehero",
+            "title": "comfyui-SegGPT",
+            "reference": "https://github.com/nicehero/comfyui-SegGPT",
+            "files": [
+                "https://github.com/nicehero/comfyui-SegGPT"
+            ],
+            "install_type": "git-clone",
+            "description": "SegGPT model for comfyui,segmentation everything with mask prompt. Download (https://huggingface.co/BAAI/SegGPT/blob/main/seggpt_vit_large.pth) in this node path."
+        },
+        {
+            "author": "sakura1bgx",
+            "title": "ComfyUI_FlipStreamViewer",
+            "reference": "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer",
+            "files": [
+                "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI_FlipStreamViewer is a tool that provides a viewer interface for flipping images with frame interpolation, allowing you to watch high-fidelity pseudo-videos without needing AnimateDiff."
+        },
+        {
+            "author": "ducido",
+            "title": "ObjectFusion_ComfyUI_nodes",
+            "id": "objectfusion-nodes",
+            "reference": "https://github.com/ducido/ObjectFusion_ComfyUI_nodes",
+            "files": [
+                "https://github.com/ducido/ObjectFusion_ComfyUI_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a node to generate new image that combine 2 objects from different scene."
+        },
+        {
+            "author": "DanielHabib",
+            "title": "ComfyUI-Voxels",
+            "reference": "https://github.com/DanielHabib/ComfyUI-Voxels",
+            "files": [
+                "https://github.com/DanielHabib/ComfyUI-Voxels"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:Mesh To Voxel, Voxel Block Saver, Voxel Viewer"
+        },
+        {
+            "author": "jsonL",
+            "title": "ComfyUI-tagger",
+            "id": "comfyui-tagger",
+            "reference": "https://github.com/StarMagicAI/comfyui_tagger",
+            "files": [
+                "https://github.com/StarMagicAI/comfyui_tagger"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to use Florence2 VLM for image vision tasks: object detection, captioning, segmentation and ocr"
+        },
+        {
+            "author": "boredofnames",
+            "title": "ComfyUI-ntfy",
+            "reference": "https://github.com/boredofnames/ComfyUI-ntfy",
+            "files": [
+                "https://github.com/boredofnames/ComfyUI-ntfy"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:Save Image and ntfy"
+        },
+        {
+            "author": "Xclbr7",
+            "title": "ComfyUI-Merlin: Magic Photo Prompter",
+            "reference": "https://github.com/Xclbr7/ComfyUI-Merlin",
+            "files": [
+                "https://github.com/Xclbr7/ComfyUI-Merlin"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Merlin is a custom node extension for ComfyUI, introducing the Magic Photo Prompter. This powerful tool enhances your prompt engineering process by allowing users to easily construct detailed, high-quality prompts for photo-realistic image generation."
+        },
+        {
+            "author": "neverbiasu",
+            "title": "ComfyUI-StyleShot",
+            "reference": "https://github.com/neverbiasu/ComfyUI-StyleShot",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-StyleShot"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:StyleShotApply"
+        },
+        {
+            "author": "microbote",
+            "title": "StyledCLIPTextEncode",
+            "reference": "https://github.com/microbote/ComfyUI-StyledCLIPTextEncode",
+            "files": [
+                "https://github.com/microbote/ComfyUI-StyledCLIPTextEncode"
+            ],
+            "install_type": "git-clone",
+            "description": "StyledCLIPTextEncode is a node that enables you to build your prompts(both postive and negative) based on the selected style. It provides up-to 77 styles currently and has been tested on SDXL and SD1.5 checkpoints. It's ported from project [a/Style Selector for SDXL 1.0](https://github.com/ahgsql/StyleSelectorXL), which is only availabe on WebUI."
+        },
+        {
+            "author": "yvann-ba",
+            "title": "ComfyUI_Yvann-Nodes",
+            "reference": "https://github.com/yvann-ba/ComfyUI_Yvann-Nodes",
+            "files": [
+                "https://github.com/yvann-ba/ComfyUI_Yvann-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Audio Analysis, Transform audio into float weights"
+        },
+        {
+            "author": "Isi-dev",
+            "title": "ComfyUI-Img2DrawingAssistants",
+            "id": "Img2DrawingAssistants",
+            "reference": "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants",
+            "files": [
+                "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants"
+            ],
+            "install_type": "git-clone",
+            "description": "These are ComfyUI nodes to assist in converting an image to sketches or lineArts."
+        },
+        {
+            "author": "tianguangliu",
+            "title": "comfyui-utools",
+            "id": "utools",
+            "reference": "https://github.com/tianguanggliu/Utools",
+            "files": [
+                "https://github.com/tianguanggliu/Utools"
+            ],
+            "install_type": "git-clone",
+            "description": "Efficiency tools, Personalized style, Other Nodes, ..."
+        },
+        {
+            "author": "celoron",
+            "title": "ComfyUI-VisualQueryTemplate",
+            "reference": "https://github.com/celoron/ComfyUI-VisualQueryTemplate",
+            "files": [
+                "https://github.com/celoron/ComfyUI-VisualQueryTemplate"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI node for transforming images into descriptive text using templated visual question answering. Leverages Hugging Face's VQA models with transformers"
+        },
+        {
+            "author": "Alex Genovese",
+            "title": "Huggingface Api Serverless",
+            "reference": "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference",
+            "files": [
+                "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference"
+            ],
+            "install_type": "git-clone",
+            "description": "Huggingface Api Serverless request"
+        },
+        {
+            "author": "freelifehacker",
+            "title": "ComfyUI-ImgMask2PNG",
+            "reference": "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG",
+            "files": [
+                "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:ImageMask2PNG"
+        },
+        {
+            "author": "fssorc",
+            "title": "ComfyUI_pose_inter",
+            "reference": "https://github.com/fssorc/ComfyUI_pose_inter",
+            "files": [
+                "https://github.com/fssorc/ComfyUI_pose_inter"
+            ],
+            "install_type": "git-clone",
+            "description": "Generate transition frames between two character posture images. The prerequisite for running is to have installed comfyui_controlnet_aux, using its Open Pose or DWPose preprocessor"
+        },
+        {
+            "author": "souki202",
+            "title": "ComfyUI-LoadImage-Advanced",
+            "reference": "https://github.com/souki202/ComfyUI-LoadImage-Advanced",
+            "files": [
+                "https://github.com/souki202/ComfyUI-LoadImage-Advanced"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a node that simply integrates LoadImage, Vae Encode, Upscale, Resolution factor correction, and Color Adjustment."
+        },
+        {
+            "author": "drmbt",
+            "title": "comfyui-dreambait-nodes",
+            "id": "drmbt",
+            "reference": "https://github.com/drmbt/comfyui-dreambait-nodes",
+            "files": [
+                "https://github.com/drmbt/comfyui-dreambait-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of forks, QoL nodes and utilities for ComfyUI"
+        },
+        {
+            "author": "InstaSD",
+            "title": "InstaSD nodes for ComfyUI",
+            "reference": "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD",
+            "files": [
+                "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of nodes for use with InstaSD. These nodes will be transformed into app inputs when you deploy your ComfyUI workflow on InstaSD."
+        },
+        {
+            "author": "Shiba-2-shiba",
+            "title": "ComfyUI-color-ascii-art-node",
+            "id": "asciiart",
+            "reference": "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node",
+            "files": [
+                "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a custom node to convert png images into color ASCII art. As noted below, multiple font sizes are used in the specification. The resolution of the generated file is set to be the same as the input image."
+        },
+        {
+            "author": "Bao Pham",
+            "title": "ComfyUI-LyraVSIH",
+            "id": "lyra-vsih",
+            "reference": "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH",
+            "files": [
+                "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides a set of nodes that can be used to mask multiple object at once"
+        },
+        {
+            "author": "AbyssBadger0",
+            "title": "Kolors Awesome Prompts",
+            "reference": "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts",
+            "files": [
+                "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:KolorsAwesomePrompts"
+        },
+        {
+            "author": "IuvenisSapiens",
+            "title": "ComfyUI_Qwen2-VL-Instruct",
+            "id": "qwen2-vl-instruct",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an implementation of [a/Qwen2-VL-Instruct](https://github.com/QwenLM/Qwen2-VL) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), which includes, but is not limited to, support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses."
+        },
+        {
+            "author": "Hmily",
+            "title": "ComfyUI-Light-Tool",
+            "id": "hmily",
+            "reference": "https://github.com/ihmily/ComfyUI-Light-Tool",
+            "files": [
+                "https://github.com/ihmily/ComfyUI-Light-Tool"
+            ],
+            "install_type": "git-clone",
+            "description": "An awesome light image processing tool nodes for ComfyUI."
+        },
+        {
+            "author": "k-komarov",
+            "title": "comfyui-bunny-cdn-storage",
+            "reference": "https://github.com/k-komarov/comfyui-bunny-cdn-storage",
+            "files": [
+                "https://github.com/k-komarov/comfyui-bunny-cdn-storage"
+            ],
+            "install_type": "git-clone",
+            "description": "Save Your Image to BunnyStorage"
+        },
+        {
+            "author": "PabloGFX",
+            "title": "Head Orientation Node",
+            "id": "head-orientation-node",
+            "reference": "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX",
+            "files": [
+                "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for ComfyUI that analyzes and sorts images based on head orientation using MediaPipe. It detects facial landmarks, calculates head pose, and intelligently sorts images for enhanced AI image processing workflows."
+        },
+        {
+            "author": "45uee",
+            "title": "ComfyUI-Color_Transfer",
+            "reference": "https://github.com/45uee/ComfyUI-Color_Transfer",
+            "files": [
+                "https://github.com/45uee/ComfyUI-Color_Transfer"
+            ],
+            "install_type": "git-clone",
+            "description": "Implementation of color transfer using KMeans algorithm"
+        },
+
+
+
+
+
+
+
+
+
+
+
+
+
+        
+        {
+            "author": "Ser-Hilary",
+            "title": "SDXL_sizing",
+            "reference": "https://github.com/Ser-Hilary/SDXL_sizing",
+            "files": [
+                "https://github.com/Ser-Hilary/SDXL_sizing/raw/main/conditioning_sizing_for_SDXL.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:sizing_node. Size calculation node related to image size in prompts supported by SDXL."
+        },
+        {
+            "author": "ailex000",
+            "title": "Image Gallery",
+            "reference": "https://github.com/ailex000/ComfyUI-Extensions",
+            "js_path": "image-gallery",
+            "files": [
+                "https://github.com/ailex000/ComfyUI-Extensions/raw/main/image-gallery/imageGallery.js"
+            ],
+            "install_type": "copy",
+            "description": "Custom javascript extensions for better UX for ComfyUI. Supported nodes: PreviewImage, SaveImage. Double click on image to open."
+        },
+        {
+            "author": "rock-land",
+            "title": "graphNavigator",
+            "reference": "https://github.com/rock-land/graphNavigator",
+            "js_path": "graphNavigator",
+            "files": [
+                "https://github.com/rock-land/graphNavigator/raw/main/graphNavigator/graphNavigator.js"
+            ],
+            "install_type": "copy",
+            "description": "ComfyUI Web Extension for saving views and navigating graphs."
+        },
+        {
+            "author": "diffus3",
+            "title": "diffus3/ComfyUI-extensions",
+            "reference": "https://github.com/diffus3/ComfyUI-extensions",
+            "js_path": "diffus3",
+            "files": [
+                "https://github.com/diffus3/ComfyUI-extensions/raw/main/multiReroute/multireroute.js",
+                "https://github.com/diffus3/ComfyUI-extensions/raw/main/setget/setget.js"
+            ],
+            "install_type": "copy",
+            "description": "Extensions: subgraph, setget, multiReroute"
+        },
+        {
+            "author": "m957ymj75urz",
+            "title": "m957ymj75urz/ComfyUI-Custom-Nodes",
+            "reference": "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes",
+            "js_path": "m957ymj75urz",
+            "files": [
+                "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes/raw/main/clip-text-encode-split/clip_text_encode_split.py",
+                "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes/raw/main/colors/colors.js"
+            ],
+            "install_type": "copy",
+            "description": "Nodes: RawText, RawTextCLIPEncode, RawTextCombine, RawTextReplace, Extension: m957ymj75urz.colors"
+        },
+        {
+            "author": "Bikecicle",
+            "title": "Waveform Extensions",
+            "reference": "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions",
+            "files": [
+                "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions/raw/main/EXT_AudioManipulation.py",
+                "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions/raw/main/EXT_VariationUtils.py"
+            ],
+            "install_type": "copy",
+            "description": "Some additional audio utilites for use on top of Sample Diffusion ComfyUI Extension"
+        },
+        {
+            "author": "dawangraoming",
+            "title": "KSampler GPU",
+            "reference": "https://github.com/dawangraoming/ComfyUI_ksampler_gpu",
+            "files": [
+                "https://github.com/dawangraoming/ComfyUI_ksampler_gpu/raw/main/ksampler_gpu.py"
+            ],
+            "install_type": "copy",
+            "description": "KSampler is provided, based on GPU random noise"
+        },
+        {
+            "author": "fitCorder",
+            "title": "fcSuite",
+            "reference": "https://github.com/fitCorder/fcSuite",
+            "files": [
+                "https://github.com/fitCorder/fcSuite/raw/main/fcSuite.py"
+            ],
+            "install_type": "copy",
+            "description": "fcFloatMatic is a custom module, that when configured correctly will increment through the lines generating you loras at different strengths. The JSON file will load the config."
+        },
+        {
+            "author": "lordgasmic",
+            "title": "Wildcards",
+            "reference": "https://github.com/lordgasmic/ComfyUI-Wildcards",
+            "files": [
+                "https://github.com/lordgasmic/ComfyUI-Wildcards/raw/master/wildcards.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:CLIPTextEncodeWithWildcards. This wildcard node is a wildcard node that operates based on the seed."
+        },
+        {
+            "author": "throttlekitty",
+            "title": "SDXLCustomAspectRatio",
+            "reference": "https://github.com/throttlekitty/SDXLCustomAspectRatio",
+            "files": [
+                "https://raw.githubusercontent.com/throttlekitty/SDXLCustomAspectRatio/main/SDXLAspectRatio.py"
+            ],
+            "install_type": "copy",
+            "description": "A quick and easy ComfyUI custom node for setting SDXL-friendly aspect ratios."
+        },
+        {
+            "author": "s1dlx",
+            "title": "comfy_meh",
+            "reference": "https://github.com/s1dlx/comfy_meh",
+            "files": [
+                "https://github.com/s1dlx/comfy_meh/raw/main/meh.py"
+            ],
+            "install_type": "copy",
+            "description": "Advanced merging methods."
+        },
+        {
+            "author": "tudal",
+            "title": "Hakkun-ComfyUI-nodes",
+            "reference": "https://github.com/tudal/Hakkun-ComfyUI-nodes",
+            "files": [
+                "https://github.com/tudal/Hakkun-ComfyUI-nodes/raw/main/hakkun_nodes.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes: Prompt parser. ComfyUI extra nodes. Mostly prompt parsing."
+        },
+        {
+            "author": "SadaleNet",
+            "title": "ComfyUI A1111-like Prompt Custom Node Solution",
+            "reference": "https://github.com/SadaleNet/CLIPTextEncodeA1111-ComfyUI",
+            "files": [
+                "https://github.com/SadaleNet/CLIPTextEncodeA1111-ComfyUI/raw/master/custom_nodes/clip_text_encoder_a1111.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes: CLIPTextEncodeA1111, RerouteTextForCLIPTextEncodeA1111."
+        },
+        {
+            "author": "wsippel",
+            "title": "SDXLResolutionPresets",
+            "reference": "https://github.com/wsippel/comfyui_ws",
+            "files": [
+                "https://github.com/wsippel/comfyui_ws/raw/main/sdxl_utility.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes: SDXLResolutionPresets. Easy access to the officially supported resolutions, in both horizontal and vertical formats: 1024x1024, 1152x896, 1216x832, 1344x768, 1536x640"
+        },
+        {
+            "author": "nicolai256",
+            "title": "comfyUI_Nodes_nicolai256",
+            "id": "nicoali256",
+            "reference": "https://github.com/nicolai256/comfyUI_Nodes_nicolai256",
+            "files": [
+                "https://github.com/nicolai256/comfyUI_Nodes_nicolai256/raw/main/yugioh-presets.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes: yugioh_Presets. by Nicolai256 inspired by throttlekitty SDXLAspectRatio"
+        },
+        {
+            "author": "Onierous",
+            "title": "QRNG_Node_ComfyUI",
+            "id": "qrng",
+            "reference": "https://github.com/Onierous/QRNG_Node_ComfyUI",
+            "files": [
+                "https://github.com/Onierous/QRNG_Node_ComfyUI/raw/main/qrng_node.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes: QRNG Node CSV. A node that takes in an array of random numbers from the ANU QRNG API and stores them locally for generating quantum random number noise_seeds in ComfyUI"
+        },
+        {
+            "author": "ntdviet",
+            "title": "ntdviet/comfyui-ext",
+            "reference": "https://github.com/ntdviet/comfyui-ext",
+            "files": [
+                "https://github.com/ntdviet/comfyui-ext/raw/main/custom_nodes/gcLatentTunnel/gcLatentTunnel.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:LatentGarbageCollector. This ComfyUI custom node flushes the GPU cache and empty cuda interprocess memory. It's helpfull for low memory environment such as the free Google Colab, especially when the workflow VAE decode latents of the size above 1500x1500."
+        },
+        {
+            "author": "alkemann",
+            "title": "alkemann nodes",
+            "id": "alkemann",
+            "reference": "https://gist.github.com/alkemann/7361b8eb966f29c8238fd323409efb68",
+            "files": [
+                "https://gist.github.com/alkemann/7361b8eb966f29c8238fd323409efb68/raw/f9605be0b38d38d3e3a2988f89248ff557010076/alkemann.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:Int to Text, Seed With Text, Save A1 Image."
+        },
+        {
+            "author": "catscandrive",
+            "title": "Image loader with subfolders",
+            "id": "imgsubfolders",
+            "reference": "https://github.com/catscandrive/comfyui-imagesubfolders",
+            "files": [
+                "https://github.com/catscandrive/comfyui-imagesubfolders/raw/main/loadImageWithSubfolders.py"
+            ],
+            "install_type": "copy",
+            "description": "Adds an Image Loader node that also shows images in subfolders of the default input directory"
+        },
+        {
+            "author": "Smuzzies",
+            "title": "Chatbox Overlay node for ComfyUI",
+            "id": "chatbox-overlay",
+            "reference": "https://github.com/Smuzzies/comfyui_chatbox_overlay",
+            "files": [
+                "https://github.com/Smuzzies/comfyui_chatbox_overlay/raw/main/chatbox_overlay.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes: Chatbox Overlay. Custom node for ComfyUI to add a text box over a processed image before save node."
+        },
+        {
+            "author": "CaptainGrock",
+            "title": "ComfyUIInvisibleWatermark",
+            "id": "invisible-watermark-grock",
+            "reference": "https://github.com/CaptainGrock/ComfyUIInvisibleWatermark",
+            "files": [
+                "https://github.com/CaptainGrock/ComfyUIInvisibleWatermark/raw/main/Invisible%20Watermark.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:Apply Invisible Watermark, Extract Watermark. Adds up to 12 characters encoded into an image that can be extracted."
+        },
+        {
+            "author": "LZC",
+            "title": "Hayo comfyui nodes",
+            "id": "lzcnodes",
+            "reference": "https://github.com/1shadow1/hayo_comfyui_nodes",
+            "files": [
+                "https://github.com/1shadow1/hayo_comfyui_nodes/raw/main/LZCNodes.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:tensor_trans_pil, Make Transparent mask, MergeImages, words_generatee, load_PIL image"
+        },
+        {
+            "author": "underclockeddev",
+            "title": "Preview Subselection Node for ComfyUI",
+            "id": "preview-subselection",
+            "reference": "https://github.com/underclockeddev/ComfyUI-PreviewSubselection-Node",
+            "files": [
+                "https://github.com/underclockeddev/ComfyUI-PreviewSubselection-Node/raw/master/preview_subselection.py"
+            ],
+            "install_type": "copy",
+            "description": "A node which takes in x, y, width, height, total width, and total height, in order to accurately represent the area of an image which is covered by area-based conditioning."
+        },
+        {
+            "author": "underclockeddev",
+            "title": "BrevImage",
+            "id": "brevimage",
+            "reference": "https://github.com/bkunbargi/BrevImage",
+            "files": [
+                "https://github.com/bkunbargi/BrevImage/raw/main/BrevLoadImage.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:BrevImage. ComfyUI Load Image From URL"
+        },
+        {
+            "author": "jw782cn",
+            "title": "ComfyUI-Catcat",
+            "id": "catcat",
+            "reference": "https://github.com/jw782cn/ComfyUI-Catcat",
+            "files": [
+                "https://github.com/jw782cn/ComfyUI-Catcat"
+            ],
+            "install_type": "copy",
+            "description": "Extension to show random cat GIFs while queueing prompt."
+        },
+        {
+            "author": "barckley75",
+            "title": "comfyUI_DaVinciResolve",
+            "reference": "https://github.com/barckley75/comfyUI_DaVinciResolve",
+            "files": [
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/node_text_to_speech.py",
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/nodes_phy_3_contitioning.py",
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/save_audio_to_davinci.py",
+                "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/save_image_to_davinci.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:TextToSpeech, phy_3_conditioning, SaveAudioToDaVinci, SaveImageToDaVinci.\nNOTE:In order to use DaVinci node you must have DaVinci Resolve Studio connected to the API. For more information check the help seciton in DaVinci Resolve Studio HELP>DOCUMENTATION>DEVELOPER. It will open a folder, search for scripting and the for README.txt file, the API documentation."
+        },
+        {
+            "author": "DannyStone1999",
+            "title": "ComfyUI-Depth2Mask",
+            "reference": "https://github.com/DannyStone1999/ComfyUI-Depth2Mask",
+            "files": [
+                "https://github.com/DannyStone1999/ComfyUI-Depth2Mask/raw/main/Depth2Mask.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:Depth2Mask"
+        },
+        {
+            "author": "Limbicnation",
+            "title": "ComfyUIDepthEstimation",
+            "reference": "https://github.com/Limbicnation/ComfyUIDepthEstimation",
+            "files": [
+                "https://github.com/Limbicnation/ComfyUIDepthEstimation/raw/main/depth_estimation_node.py"
+            ],
+            "pip": ["transformers"],
+            "install_type": "copy",
+            "description": "A custom depth estimation node for ComfyUI using transformer models. It integrates depth estimation with automatic gamma correction, contrast adjustment, and edge detection, based on the [a/TransformDepth](https://github.com/Limbicnation/TransformDepth) repository."
+        },
+        {
+            "author": "seghier",
+            "title": "ComfyUI_LibreTranslate",
+            "reference": "https://github.com/seghier/ComfyUI_LibreTranslate",
+            "files": [
+                "https://github.com/seghier/ComfyUI_LibreTranslate/raw/main/translate_node.py"
+            ],
+            "install_type": "copy",
+            "description": "Use LibreTranslation in ComfyUI [a/https://github.com/LibreTranslate/LibreTranslate](https://github.com/LibreTranslate/LibreTranslate)"
+        },
+        {
+            "author": "ImmortalPie",
+            "title": "PonySwitch Node",
+            "reference": "https://github.com/ImmortalPie/ComfyUI-PonySwitch",
+            "files": [
+                "https://github.com/ImmortalPie/ComfyUI-PonySwitch/raw/main/PonySwitch.py"
+            ],
+            "install_type": "copy",
+            "description": "The PonySwitch node is a custom node for ComfyUI that modifies prompts based on a toggle switch and adds configurable pony tags."
+        },
+        {
+            "author": "theally",
+            "title": "TheAlly's Custom Nodes",
+            "id": "ally",
+            "reference": "https://civitai.com/models/19625?modelVersionId=23296",
+            "files": [
+                "https://civitai.com/api/download/models/25114",
+                "https://civitai.com/api/download/models/24679",
+                "https://civitai.com/api/download/models/24154",
+                "https://civitai.com/api/download/models/23884",
+                "https://civitai.com/api/download/models/23649",
+                "https://civitai.com/api/download/models/23467",
+                "https://civitai.com/api/download/models/23296"
+            ],
+            "install_type": "unzip",
+            "description": "Custom nodes for ComfyUI by TheAlly."
+        },
+        {
+            "author": "xss",
+            "title": "Custom Nodes by xss",
+            "id": "xss",
+            "reference": "https://civitai.com/models/24869/comfyui-custom-nodes-by-xss",
+            "files": [
+                "https://civitai.com/api/download/models/32717",
+                "https://civitai.com/api/download/models/47776",
+                "https://civitai.com/api/download/models/29772",
+                "https://civitai.com/api/download/models/31618",
+                "https://civitai.com/api/download/models/31591",
+                "https://civitai.com/api/download/models/29773",
+                "https://civitai.com/api/download/models/29774",
+                "https://civitai.com/api/download/models/29755",
+                "https://civitai.com/api/download/models/29750"
+            ],
+            "install_type": "unzip",
+            "description": "Various image processing nodes."
+        },
+        {
+            "author": "aimingfail",
+            "title": "Image2Halftone Node for ComfyUI",
+            "id": "img2halftone",
+            "reference": "https://civitai.com/models/143293/image2halftone-node-for-comfyui",
+            "files": [
+                "https://civitai.com/api/download/models/158997"
+            ],
+            "install_type": "unzip",
+            "description": "This is a node to convert an image into a CMYK Halftone dot image."
+        }
+    ]
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/docs/en/cm-cli.md b/ComfyUI/custom_nodes/ComfyUI-Manager/docs/en/cm-cli.md
new file mode 100644
index 0000000000000000000000000000000000000000..e5158be842410ba705c1b70d3e2084a9f93aa247
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/docs/en/cm-cli.md
@@ -0,0 +1,146 @@
+# `cm-cli`: ComfyUI-Manager CLI
+
+`cm-cli` is a tool that allows you to use various functions of ComfyUI-Manager from the command line without launching ComfyUI.
+
+
+```
+-= ComfyUI-Manager CLI (V2.24) =-
+
+
+python cm-cli.py [OPTIONS]
+
+OPTIONS:
+    [install|reinstall|uninstall|update|disable|enable|fix] node_name ... ?[--channel <channel name>] ?[--mode [remote|local|cache]]
+    [update|disable|enable|fix] all ?[--channel <channel name>] ?[--mode [remote|local|cache]]
+    [simple-show|show] [installed|enabled|not-installed|disabled|all|snapshot|snapshot-list] ?[--channel <channel name>] ?[--mode [remote|local|cache]]
+    save-snapshot ?[--output <snapshot .json/.yaml>]
+    restore-snapshot <snapshot .json/.yaml> ?[--pip-non-url] ?[--pip-non-local-url] ?[--pip-local-url]
+    cli-only-mode [enable|disable]
+    restore-dependencies
+    clear
+```
+
+## How To Use?
+* You can execute it via `python cm-cli.py`.
+* For example, if you want to update all custom nodes:
+    * In the ComfyUI-Manager directory, you can execute the command `python cm-cli.py update all`.
+    * If running from the ComfyUI directory, you can specify the path to cm-cli.py like this: `python custom_nodes/ComfyUI-Manager/cm-cli.py update all`.
+
+## Prerequisite
+* It must be run in the same Python environment as the one running ComfyUI.
+    * If using a venv, you must run it with the venv activated.
+    * If using a portable version, and you are in the directory with the run_nvidia_gpu.bat file, you should execute the command as follows:
+        `.\python_embeded\python.exe ComfyUI\custom_nodes\ComfyUI-Manager\cm-cli.py update all`
+* The path for ComfyUI can be set with the COMFYUI_PATH environment variable. If omitted, a warning message will appear, and the path will be set relative to the installed location of ComfyUI-Manager:
+        ```
+        WARN: The `COMFYUI_PATH` environment variable is not set. Assuming `custom_nodes/ComfyUI-Manager/../../` as the ComfyUI path.
+        ```
+
+## Features
+
+### 1. --channel, --mode
+* For viewing information and managing custom nodes, you can set the information database through --channel and --mode.
+* For instance, executing the command `python cm-cli.py update all --channel recent --mode remote` will operate based on the latest information from remote rather than local data embedded in the current ComfyUI-Manager repo and will only target the list in the recent channel.
+* --channel, --mode are only available with the commands `simple-show, show, install, uninstall, update, disable, enable, fix`.
+
+### 2. Viewing Management Information
+
+`[simple-show|show] [installed|enabled|not-installed|disabled|all|snapshot|snapshot-list] ?[--channel <channel name>] ?[--mode [remote|local|cache]]`
+
+* `[show|simple-show]` - `show` provides detailed information, while `simple-show` displays information more simply.
+
+Executing a command like `python cm-cli.py show installed` will display detailed information about the installed custom nodes.
+
+```
+-= ComfyUI-Manager CLI (V2.24) =-
+
+FETCH DATA from: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[    ENABLED    ]  ComfyUI-Manager                                   (author: Dr.Lt.Data)
+[    ENABLED    ]  ComfyUI-Impact-Pack                               (author: Dr.Lt.Data)
+[    ENABLED    ]  ComfyUI-Inspire-Pack                              (author: Dr.Lt.Data)
+[    ENABLED    ]  ComfyUI_experiments                               (author: comfyanonymous)
+[    ENABLED    ]  ComfyUI-SAI_API                                   (author: Stability-AI)
+[    ENABLED    ]  stability-ComfyUI-nodes                           (author: Stability-AI)
+[    ENABLED    ]  comfyui_controlnet_aux                            (author: Fannovel16)
+[    ENABLED    ]  ComfyUI-Frame-Interpolation                       (author: Fannovel16)
+[    DISABLED   ]  ComfyUI-Loopchain                                 (author: Fannovel16)
+```
+
+Using a command like `python cm-cli.py simple-show installed` will simply display information about the installed custom nodes.
+
+```
+-= ComfyUI-Manager CLI (V2.24) =-
+
+FETCH DATA from: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+ComfyUI-Manager                                   
+ComfyUI-Impact-Pack                               
+ComfyUI-Inspire-Pack                              
+ComfyUI_experiments                               
+ComfyUI-SAI_API                                   
+stability-ComfyUI-nodes                           
+comfyui_controlnet_aux                            
+ComfyUI-Frame-Interpolation                       
+ComfyUI-Loopchain                                 
+```
+
+`[installed|enabled|not-installed|disabled|all|snapshot|snapshot-list]`
+   * `enabled`, `disabled`: Shows nodes that have been enabled or disabled among the installed custom nodes.
+   * `installed`: Shows all nodes that have been installed, regardless of whether they are enabled or disabled.
+   * `not-installed`: Shows a list of custom nodes that have not been installed.
+   * `all`: Shows a list of all custom nodes.
+   * `snapshot`: Displays snapshot information of the currently installed custom nodes. When viewed with `show`, it is displayed in JSON format, and with `simple-show`, it is displayed simply, along with the commit hash.
+   * `snapshot-list`: Shows a list of snapshot files stored in ComfyUI-Manager/snapshots.
+
+### 3. Managing Custom Nodes
+
+`[install|reinstall|uninstall|update|disable|enable|fix] node_name ... ?[--channel <channel name>] ?[--mode [remote|local|cache]]`
+
+* You can apply management functions by listing the names of custom nodes, such as `python cm-cli.py install ComfyUI-Impact-Pack ComfyUI-Inspire-Pack ComfyUI_experiments`.
+* The names of the custom nodes are as shown by `show` and are the names of the git repositories.
+(Plans are to update the use of nicknames in the future.)
+
+`[update|disable|enable|fix] all ?[--channel <channel name>] ?[--mode [remote|local|cache]]`
+
+* The `update, disable, enable, fix` functions can be specified for all.
+
+* Detailed Operations
+    * `install`: Installs the specified custom nodes.
+    * `reinstall`: Removes and then reinstalls the specified custom nodes.
+    * `uninstall`: Uninstalls the specified custom nodes.
+    * `update`: Updates the specified custom nodes.
+    * `disable`: Disables the specified custom nodes.
+    * `enable`: Enables the specified custom nodes.
+    * `fix`: Attempts to fix dependencies for the specified custom nodes.
+
+
+### 4. Snapshot Management
+* `python cm-cli.py save-snapshot [--output <snapshot .json/.yaml>]`: Saves the current snapshot.
+  * With `--output`, you can save a file in .yaml format to any specified path.
+* `python cm-cli.py restore-snapshot <snapshot .json/.yaml>`: Restores to the specified snapshot.
+  * If a file exists at the snapshot path, that snapshot is loaded.
+  * If no file exists at the snapshot path, it is implicitly assumed to be in ComfyUI-Manager/snapshots.
+  * `--pip-non-url`: Restore for pip packages registered on PyPI.
+  * `--pip-non-local-url`: Restore for pip packages registered at web URLs.
+  * `--pip-local-url`: Restore for pip packages specified by local paths. 
+
+
+### 5. CLI Only Mode
+
+You can set whether to use ComfyUI-Manager solely via CLI.
+
+`cli-only-mode [enable|disable]`
+
+* This mode can be used if you want to restrict the use of ComfyUI-Manager through the GUI for security or policy reasons.
+    * When CLI only mode is enabled, ComfyUI-Manager is loaded in a very restricted state, the internal web API is disabled, and the Manager button is not displayed in the main menu.
+
+### 6. Dependency Restoration
+
+`restore-dependencies`
+
+* This command can be used if custom nodes are installed under the `ComfyUI/custom_nodes` path but their dependencies are not installed.
+* It is useful when starting a new cloud instance, like colab, where dependencies need to be reinstalled and installation scripts re-executed.
+* It can also be utilized if ComfyUI is reinstalled and only the custom_nodes path has been backed up and restored.
+
+### 7. Clear
+
+In the GUI, installations, updates, or snapshot restorations are scheduled to execute the next time ComfyUI is launched. The `clear` command clears this scheduled state, ensuring no pre-execution actions are applied.
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/docs/en/use_aria2.md b/ComfyUI/custom_nodes/ComfyUI-Manager/docs/en/use_aria2.md
new file mode 100644
index 0000000000000000000000000000000000000000..10a7c6dd55fbb96874e4159af976a8125f836f24
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/docs/en/use_aria2.md
@@ -0,0 +1,40 @@
+# Use `aria2` as downloader
+
+Two environment variables are needed to use `aria2` as the downloader.
+
+```bash
+export COMFYUI_MANAGER_ARIA2_SERVER=http://127.0.0.1:6800
+export COMFYUI_MANAGER_ARIA2_SECRET=__YOU_MUST_CHANGE_IT__
+```
+
+An example `docker-compose.yml`
+
+```yaml
+services:
+
+  aria2:
+    container_name: aria2
+    image: p3terx/aria2-pro
+    environment:
+      - PUID=1000
+      - PGID=1000
+      - UMASK_SET=022
+      - RPC_SECRET=__YOU_MUST_CHANGE_IT__
+      - RPC_PORT=5080
+      - DISK_CACHE=64M
+      - IPV6_MODE=false
+      - UPDATE_TRACKERS=false
+      - CUSTOM_TRACKER_URL=
+    volumes:
+      - ./config:/config
+      - ./downloads:/downloads
+      - ~/ComfyUI/models:/models
+      - ~/ComfyUI/custom_nodes:/custom_nodes
+    ports:
+      - 6800:6800
+    restart: unless-stopped
+    logging:
+      driver: json-file
+      options:
+        max-size: 1m
+```
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/docs/ko/cm-cli.md b/ComfyUI/custom_nodes/ComfyUI-Manager/docs/ko/cm-cli.md
new file mode 100644
index 0000000000000000000000000000000000000000..33860f6b2e8478cce6baa0c6670844acc6ceefc0
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/docs/ko/cm-cli.md
@@ -0,0 +1,149 @@
+# `cm-cli`: ComfyUI-Manager CLI
+
+`cm-cli` 는 ComfyUI를 실행시키지 않고 command line에서 ComfyUI-Manager의 여러가지 기능을 사용할 수 있도록 도와주는 도구입니다.
+
+
+```
+-= ComfyUI-Manager CLI (V2.24) =-
+
+
+python cm-cli.py [OPTIONS]
+
+OPTIONS:
+    [install|reinstall|uninstall|update|disable|enable|fix] node_name ... ?[--channel <channel name>] ?[--mode [remote|local|cache]]
+    [update|disable|enable|fix] all ?[--channel <channel name>] ?[--mode [remote|local|cache]]
+    [simple-show|show] [installed|enabled|not-installed|disabled|all|snapshot|snapshot-list] ?[--channel <channel name>] ?[--mode [remote|local|cache]]
+    save-snapshot ?[--output <snapshot .json/.yaml>]
+    restore-snapshot <snapshot .json/.yaml> ?[--pip-non-url] ?[--pip-non-local-url] ?[--pip-local-url]
+    cli-only-mode [enable|disable]
+    restore-dependencies
+    clear
+```
+
+## How To Use?
+* `python cm-cli.py` 를 통해서 실행 시킬 수 있습니다.
+* 예를 들어 custom node를 모두 업데이트 하고 싶다면
+    * ComfyUI-Manager경로 에서 `python cm-cli.py update all` 를 command를 실행할 수 있습니다.
+    * ComfyUI 경로에서 실행한다면, `python custom_nodes/ComfyUI-Manager/cm-cli.py update all` 와 같이 cm-cli.py 의 경로를 지정할 수도 있습니다.
+
+## Prerequisite
+* ComfyUI 를 실행하는 python과 동일한 python 환경에서 실행해야 합니다.
+    * venv를 사용할 경우 해당 venv를 activate 한 상태에서 실행해야 합니다.
+    * portable 버전을 사용할 경우 run_nvidia_gpu.bat 파일이 있는 경로인 경우, 다음과 같은 방식으로 코맨드를 실행해야 합니다.
+        `.\python_embeded\python.exe ComfyUI\custom_nodes\ComfyUI-Manager\cm-cli.py update all`
+* ComfyUI 의 경로는 COMFYUI_PATH 환경 변수로 설정할 수 있습니다. 만약 생략할 경우 다음과 같은 경고 메시지가 나타나며, ComfyUI-Manager가 설치된 경로를 기준으로 상대 경로로 설정됩니다.
+        ```
+        WARN: The `COMFYUI_PATH` environment variable is not set. Assuming `custom_nodes/ComfyUI-Manager/../../` as the ComfyUI path.
+        ```
+
+## Features
+
+### 1. --channel, --mode
+* 정보 보기 기능과 커스텀 노드 관리 기능의 경우는 --channel과 --mode를 통해 정보 DB를 설정할 수 있습니다.
+* 예들 들어 `python cm-cli.py update all --channel recent --mode remote`와 같은 command를 실행할 경우, 현재 ComfyUI-Manager repo에 내장된 로컬의 정보가 아닌 remote의 최신 정보를 기준으로 동작하며, recent channel에 있는 목록을 대상으로만 동작합니다.
+* --channel, --mode 는 `simple-show, show, install, uninstall, update, disable, enable, fix` command에서만 사용 가능합니다.
+
+### 2. 관리 정보 보기
+
+`[simple-show|show] [installed|enabled|not-installed|disabled|all|snapshot|snapshot-list] ?[--channel <channel name>] ?[--mode [remote|local|cache]]`
+
+
+* `[show|simple-show]` - `show`는 상세하게 정보를 보여주며, `simple-show`는 간단하게 정보를 보여줍니다.
+
+
+`python cm-cli.py show installed` 와 같은 코맨드를 실행하면 설치된 커스텀 노드의 정보를 상세하게 보여줍니다.
+```
+-= ComfyUI-Manager CLI (V2.24) =-
+
+FETCH DATA from: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+[    ENABLED    ]  ComfyUI-Manager                                   (author: Dr.Lt.Data)
+[    ENABLED    ]  ComfyUI-Impact-Pack                               (author: Dr.Lt.Data)
+[    ENABLED    ]  ComfyUI-Inspire-Pack                              (author: Dr.Lt.Data)
+[    ENABLED    ]  ComfyUI_experiments                               (author: comfyanonymous)
+[    ENABLED    ]  ComfyUI-SAI_API                                   (author: Stability-AI)
+[    ENABLED    ]  stability-ComfyUI-nodes                           (author: Stability-AI)
+[    ENABLED    ]  comfyui_controlnet_aux                            (author: Fannovel16)
+[    ENABLED    ]  ComfyUI-Frame-Interpolation                       (author: Fannovel16)
+[    DISABLED   ]  ComfyUI-Loopchain                                 (author: Fannovel16)
+```
+
+`python cm-cli.py simple-show installed` 와 같은 코맨드를 이용해서 설치된 커스텀 노드의 정보를 간단하게 보여줍니다.
+
+```
+-= ComfyUI-Manager CLI (V2.24) =-
+
+FETCH DATA from: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
+ComfyUI-Manager                                   
+ComfyUI-Impact-Pack                               
+ComfyUI-Inspire-Pack                              
+ComfyUI_experiments                               
+ComfyUI-SAI_API                                   
+stability-ComfyUI-nodes                           
+comfyui_controlnet_aux                            
+ComfyUI-Frame-Interpolation                       
+ComfyUI-Loopchain                                 
+```
+
+* `[installed|enabled|not-installed|disabled|all|snapshot|snapshot-list]`
+    * `enabled`, `disabled`: 설치된 커스텀 노드들 중 enable 되었거나, disable된 노드들을 보여줍니다.
+    * `installed`: enable, disable 여부와 상관없이 설치된 모든 노드를 보여줍니다
+    * `not-installed`: 설치되지 않은 커스텀 노드의 목록을 보여줍니다.
+    * `all`: 모든 커스텀 노드의 목록을 보여줍니다.
+    * `snapshot`: 현재 설치된 커스텀 노드의 snapshot 정보를 보여줍니다. `show`롤 통해서 볼 경우는 json 출력 형태로  보여주며, `simple-show`를 통해서 볼 경우는 간단하게, 커밋 해시와 함께 보여줍니다.
+    * `snapshot-list`: ComfyUI-Manager/snapshots 에 저장된 snapshot 파일의 목록을 보여줍니다.
+
+### 3. 커스텀 노드 관리 하기
+
+`[install|reinstall|uninstall|update|disable|enable|fix] node_name ... ?[--channel <channel name>] ?[--mode [remote|local|cache]]`
+
+* `python cm-cli.py install ComfyUI-Impact-Pack ComfyUI-Inspire-Pack ComfyUI_experiments` 와 같이 커스텀 노드의 이름을 나열해서 관리 기능을 적용할 수 있습니다.
+* 커스텀 노드의 이름은 `show`를 했을 때 보여주는 이름이며, git repository의 이름입니다. 
+(추후 nickname 을 사용가능하돌고 업데이트 할 예정입니다.)
+
+`[update|disable|enable|fix] all ?[--channel <channel name>] ?[--mode [remote|local|cache]]`
+
+* `update, disable, enable, fix` 기능은 all 로 지정 가능합니다.
+
+* 세부 동작
+    * `install`: 지정된 커스텀 노드들을 설치합니다
+    * `reinstall`: 지정된 커스텀 노드를 삭제하고 재설치 합니다.
+    * `uninstall`: 지정된 커스텀 노드들을 삭제합니다.
+    * `update`: 지정된 커스텀 노드들을 업데이트합니다.
+    * `disable`: 지정된 커스텀 노드들을 비활성화합니다.
+    * `enable`: 지정된 커스텀 노드들을 활성화합니다.
+    * `fix`: 지정된 커스텀 노드의 의존성을 고치기 위한 시도를 합니다.
+
+
+### 4. 스냅샷 관리 기능
+* `python cm-cli.py save-snapshot ?[--output <snapshot .json/.yaml>]`: 현재의 snapshot을 저장합니다.
+  * --output 으로 임의의 경로에 .yaml 파일과 format으로 저장할 수 있습니다.
+* `python cm-cli.py restore-snapshot <snapshot .json/.yaml>`: 지정된 snapshot으로 복구합니다.
+  * snapshot 경로에 파일이 존재하는 경우 해당 snapshot을 로드합니다.
+  * snapshot 경로에 파일이 존재하지 않는 경우 묵시적으로, ComfyUI-Manager/snapshots 에 있다고 가정합니다.
+  * `--pip-non-url`: PyPI 에 등록된 pip 패키지들에 대해서 복구를 수행
+  * `--pip-non-local-url`: web URL에 등록된 pip 패키지들에 대해서 복구를 수행
+  * `--pip-local-url`: local 경로를 지정하고 있는 pip 패키지들에 대해서 복구를 수행 
+
+
+### 5. CLI only mode
+
+ComfyUI-Manager를 CLI로만 사용할 것인지를 설정할 수 있습니다.
+
+`cli-only-mode [enable|disable]`
+
+* security 혹은 policy 의 이유로 GUI 를 통한 ComfyUI-Manager 사용을 제한하고 싶은 경우 이 모드를 사용할 수 있습니다.
+    * CLI only mode를 적용할 경우 ComfyUI-Manager 가 매우 제한된 상태로 로드되어, 내부적으로 제공하는 web API가 비활성화 되며, 메인 메뉴에서도 Manager 버튼이 표시되지 않습니다.
+
+
+### 6. 의존성 설치
+
+`restore-dependencies`
+
+* `ComfyUI/custom_nodes` 하위 경로에 커스텀 노드들이 설치되어 있긴 하지만, 의존성이 설치되지 않은 경우 사용할 수 있습니다.
+* colab 과 같이 cloud instance를 새로 시작하는 경우 의존성 재설치 및 설치 스크립트가 재실행 되어야 하는 경우 사용합니다.
+* ComfyUI을 재설치할 경우, custom_nodes 경로만 백업했다가 재설치 할 경우 활용 가능합니다.
+
+
+### 7. clear
+
+GUI에서 install, update를 하거나 snapshot 을 restore하는 경우 예약을 통해서 다음번 ComfyUI를 실행할 경우 실행되는 구조입니다. `clear` 는 이런 예약 상태를 clear해서, 아무런 사전 실행이 적용되지 않도록 합니다.
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json b/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json
new file mode 100644
index 0000000000000000000000000000000000000000..9066944aa478cb9c589580c91bc7a9a584c8b49e
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json
@@ -0,0 +1,19801 @@
+{
+    "https://gist.github.com/alkemann/7361b8eb966f29c8238fd323409efb68/raw/f9605be0b38d38d3e3a2988f89248ff557010076/alkemann.py": [
+        [
+            "Int to Text",
+            "Save A1 Image",
+            "Seed With Text"
+        ],
+        {
+            "title_aux": "alkemann nodes"
+        }
+    ],
+    "https://github.com/0xbitches/ComfyUI-LCM": [
+        [
+            "LCM_Sampler",
+            "LCM_Sampler_Advanced",
+            "LCM_img2img_Sampler",
+            "LCM_img2img_Sampler_Advanced"
+        ],
+        {
+            "title_aux": "Latent Consistency Model for ComfyUI"
+        }
+    ],
+    "https://github.com/1038lab/ComfyUI-GPT2P": [
+        [
+            "GPT2PNode"
+        ],
+        {
+            "title_aux": "ComfyUI-GPT2P"
+        }
+    ],
+    "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant": [
+        [
+            "EGIPAdapter_Mad_Assistant",
+            "EGIPAdapter_Mad_AssistantV1",
+            "EGIPAdapter_Mad_AssistantV2",
+            "EGIPAdapter_Mad_AssistantV3",
+            "EGIPAdapter_Mad_AssistantV4",
+            "EGIPAdapter_Mad_AssistantV5",
+            "EGIPAdapter_Mad_AssistantV6"
+        ],
+        {
+            "title_aux": "ComfUI-EGAdapterMadAssistant"
+        }
+    ],
+    "https://github.com/11dogzi/Comfyui-ergouzi-Nodes": [
+        [
+            "EG-YSZT-ZT",
+            "EG_CPSYTJ",
+            "EG_FX_BDAPI",
+            "EG_HT_YSTZ",
+            "EG_JF_ZZSC",
+            "EG_JXFZ_node",
+            "EG_K_LATENT",
+            "EG_RY_HT",
+            "EG_SCQY_BHDQY",
+            "EG_SCQY_QBQY",
+            "EG_SCQY_SXQY",
+            "EG_SJ",
+            "EG_SJPJ_Node",
+            "EG_SS_RYZH",
+            "EG_SZ_JDYS",
+            "EG_TC_Node",
+            "EG_TSCDS_CJ",
+            "EG_TSCDS_DG",
+            "EG_TSCDS_FG",
+            "EG_TSCDS_JT",
+            "EG_TSCDS_QT",
+            "EG_TSCDS_RW",
+            "EG_TSCDS_WP",
+            "EG_TSCDS_ZL",
+            "EG_TSCMB_GL",
+            "EG_TXZZ_ZH",
+            "EG_TX_CCHQ",
+            "EG_TX_CJPJ",
+            "EG_TX_JZRY",
+            "EG_TX_LJ",
+            "EG_TX_LJBC",
+            "EG_TX_SFBLS",
+            "EG_TX_WHLJ",
+            "EG_WB_KSH",
+            "EG_WXZ_QH",
+            "EG_XZ_QH",
+            "EG_YSQY_BBLLD",
+            "EG_YSQY_BLLD",
+            "EG_ZY_WBK",
+            "EG_ZZHBCJ",
+            "EG_ZZKZ_HT_node",
+            "EG_ZZ_BSYH",
+            "EG_ZZ_BYYH",
+            "EG_ZZ_HSYH",
+            "EG_ZZ_MHHT",
+            "EG_ZZ_SSKZ",
+            "ER_JBCH",
+            "ER_TX_ZZCJ"
+        ],
+        {
+            "title_aux": "Comfyui-ergouzi-Nodes"
+        }
+    ],
+    "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan": [
+        [
+            "ALLty",
+            "EGRYDZQHNode",
+            "GroupSwitchNode",
+            "GroupSwitchNodee",
+            "GroupSwitchNodeee",
+            "GroupSwitchNodeeee",
+            "hulue",
+            "jinyong"
+        ],
+        {
+            "title_aux": "Comfyui-ergouzi-kaiguan"
+        }
+    ],
+    "https://github.com/11dogzi/Comfyui-ergouzi-samplers": [
+        [
+            "EGBYZZCYQ",
+            "EGCYQJB",
+            "EGCYQJBCJ"
+        ],
+        {
+            "title_aux": "Comfyui-ergouzi-samplers"
+        }
+    ],
+    "https://github.com/1mckw/Comfyui-Gelbooru": [
+        [
+            "Gelbooru (ID)",
+            "Gelbooru (Random)"
+        ],
+        {
+            "title_aux": "Comfyui-Gelbooru"
+        }
+    ],
+    "https://github.com/1shadow1/hayo_comfyui_nodes/raw/main/LZCNodes.py": [
+        [
+            "LoadPILImages",
+            "MergeImages",
+            "make_transparentmask",
+            "tensor_trans_pil",
+            "words_generatee"
+        ],
+        {
+            "title_aux": "Hayo comfyui nodes"
+        }
+    ],
+    "https://github.com/2kpr/ComfyUI-UltraPixel": [
+        [
+            "UltraPixelLoad",
+            "UltraPixelProcess"
+        ],
+        {
+            "author": "italo",
+            "title_aux": "ComfyUI-UltraPixel"
+        }
+    ],
+    "https://github.com/42lux/ComfyUI-safety-checker": [
+        [
+            "Safety Checker"
+        ],
+        {
+            "title_aux": "ComfyUI-safety-checker"
+        }
+    ],
+    "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner": [
+        [
+            "GPT4VCaptioner",
+            "Image Load with Metadata",
+            "SAMIN String Attribute Selector",
+            "SANMIN Adapt Coordinates",
+            "SANMIN AdjustTransparency",
+            "SANMIN BlurMaskArea",
+            "SANMIN ChineseToCharacter",
+            "SANMIN ClothingWildcards",
+            "SANMIN ConvertToEnglish",
+            "SANMIN EditWildcards",
+            "SANMIN Float",
+            "SANMIN LoadPathImagesPreview",
+            "SANMIN SCALE AND FILL BLACK",
+            "SANMIN SanmiSaveImageToLocal",
+            "SANMIN SimpleWildcards",
+            "SANMIN Upscale And Original Size",
+            "Samin Counter",
+            "Samin Load Image Batch"
+        ],
+        {
+            "title_aux": "ComfyUI-GPT4V-Image-Captioner"
+        }
+    ],
+    "https://github.com/45uee/ComfyUI-Color_Transfer": [
+        [
+            "ColorPalette",
+            "PaletteTransfer"
+        ],
+        {
+            "title_aux": "ComfyUI-Color_Transfer"
+        }
+    ],
+    "https://github.com/54rt1n/ComfyUI-DareMerge": [
+        [
+            "DM_AdvancedDareModelMerger",
+            "DM_AdvancedModelMerger",
+            "DM_AttentionGradient",
+            "DM_BlockGradient",
+            "DM_BlockModelMerger",
+            "DM_DareClipMerger",
+            "DM_DareModelMergerBlock",
+            "DM_DareModelMergerElement",
+            "DM_DareModelMergerMBW",
+            "DM_GradientEdit",
+            "DM_GradientOperations",
+            "DM_GradientReporting",
+            "DM_InjectNoise",
+            "DM_LoRALoaderTags",
+            "DM_LoRAReporting",
+            "DM_MBWGradient",
+            "DM_MagnitudeMasker",
+            "DM_MaskEdit",
+            "DM_MaskOperations",
+            "DM_MaskReporting",
+            "DM_ModelReporting",
+            "DM_NormalizeModel",
+            "DM_QuadMasker",
+            "DM_ShellGradient",
+            "DM_SimpleMasker"
+        ],
+        {
+            "title_aux": "ComfyUI-DareMerge"
+        }
+    ],
+    "https://github.com/807502278/ComfyUI-3D-MeshTool": [
+        [
+            "Auto_Normal",
+            "Load_OBJ",
+            "Mesh_Clean_Data",
+            "Mesh_Cleanup",
+            "Mesh_Data",
+            "Mesh_Data_Statistics",
+            "Mesh_Optimization",
+            "Mesh_Subdivide",
+            "UV_options",
+            "UnwrapUV_Auto_xatlas",
+            "UnwrapUV_xatlas",
+            "array-append",
+            "array-attribute",
+            "array-convert",
+            "array-end-increment",
+            "array-end-step",
+            "array-is-null",
+            "array-number-to-angle",
+            "array-select-element",
+            "array-step",
+            "array-step-increment",
+            "array-t",
+            "array-to-camposes",
+            "cam-pos-bus",
+            "mesh_data_bus",
+            "mesh_remap_cubvh",
+            "ply_load",
+            "ply_normalize",
+            "ply_save",
+            "show_any",
+            "string-to-array",
+            "vc_to_texture"
+        ],
+        {
+            "author": "807502278",
+            "description": "A simple 3D model processing tool within ComfyUI",
+            "nickname": "3D Mesh Tool",
+            "title": "3D Mesh Tool",
+            "title_aux": "ComfyUI-3D-MeshTool"
+        }
+    ],
+    "https://github.com/80sVectorz/ComfyUI-Static-Primitives": [
+        [
+            "FloatStaticPrimitive",
+            "IntStaticPrimitive",
+            "StringMlStaticPrimitive",
+            "StringStaticPrimitive"
+        ],
+        {
+            "title_aux": "ComfyUI-Static-Primitives"
+        }
+    ],
+    "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp": [
+        [
+            "AutoColorGimp"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoColorGimp"
+        }
+    ],
+    "https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE": [
+        [
+            "PixelOE"
+        ],
+        {
+            "title_aux": "ComfyUI-PixelOE"
+        }
+    ],
+    "https://github.com/AARG-FAN/Image-Raster-for-ComfyUI": [
+        [
+            "AIraster"
+        ],
+        {
+            "title_aux": "Image-vector-for-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/AniTalker-ComfyUI": [
+        [
+            "AniTalkerNode",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "AniTalker-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-3d-photo-inpainting": [
+        [
+            "LoadImagePath",
+            "PreViewVideo",
+            "TreeDNode"
+        ],
+        {
+            "title_aux": "ComfyUI-3d-photo-inpainting"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-AuraSR": [
+        [
+            "AuraSRNode"
+        ],
+        {
+            "title_aux": "AIFSH/ComfyUI-AuraSR"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-DiffSynth-Studio": [
+        [
+            "ControlNetPathLoader",
+            "DiffTextNode",
+            "DiffutoonNode",
+            "ExVideoNode",
+            "LoadVideo",
+            "PreViewVideo",
+            "SDPathLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-DiffSynth-Studio"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-FishSpeech": [
+        [
+            "FishSpeech_INFER",
+            "FishSpeech_INFER_SRT",
+            "LoadAudio",
+            "LoadSRT",
+            "PreViewAudio"
+        ],
+        {
+            "title_aux": "ComfyUI-FishSpeech"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-GPT_SoVITS": [
+        [
+            "GPT_SOVITS_FT",
+            "GPT_SOVITS_INFER",
+            "GPT_SOVITS_TTS",
+            "LoadAudio",
+            "LoadSRT",
+            "PreViewAudio"
+        ],
+        {
+            "title_aux": "ComfyUI-GPT_SoVITS"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-Hallo": [
+        [
+            "HalloNode",
+            "LoadAudioPath",
+            "LoadImagePath",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-Hallo"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-I2V-Adapter": [
+        [
+            "I2V_AdapterNode",
+            "LoraPathLoader",
+            "MotionLoraLoader",
+            "PreViewVideo",
+            "PromptNode"
+        ],
+        {
+            "title_aux": "ComfyUI-I2V-Adapter"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-IP_LAP": [
+        [
+            "CombineAudioVideo",
+            "IP_LAP",
+            "LoadVideo",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-IP_LAP"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-Live2DViewer": [
+        [
+            "Live2DViewer",
+            "LoadAudio"
+        ],
+        {
+            "title_aux": "ComfyUI-Live2DViewer"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MARS5-TTS": [
+        [
+            "LoadAudioPath",
+            "MARS5TTS_Node",
+            "PreViewAudio",
+            "TTSTextEncode"
+        ],
+        {
+            "title_aux": "ComfyUI-MARS5-TTS"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MimicBrush": [
+        [
+            "MimicBrushNode"
+        ],
+        {
+            "title_aux": "ComfyUI-MimicBrush"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MimicMotion": [
+        [
+            "LoadVideo",
+            "MimicMotionNode",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-MimicMotion"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MuseTalk_FSH": [
+        [
+            "CombineAudioVideo",
+            "LoadVideo",
+            "MuseTalk",
+            "MuseTalkRealTime",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-MuseTalk_FSH"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-RVC": [
+        [
+            "CombineAudio",
+            "LoadAudio",
+            "PreViewAudio",
+            "RVC_Infer",
+            "RVC_Train"
+        ],
+        {
+            "title_aux": "ComfyUI-RVC"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-UVR5": [
+        [
+            "LoadAudioPath",
+            "PreViewAudio",
+            "UVR5_Node"
+        ],
+        {
+            "title_aux": "ComfyUI-UVR5"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-UniAnimate": [
+        [
+            "LoadImagePath",
+            "LoadVideo",
+            "PoseAlignNode",
+            "PreViewVideo",
+            "UniAnimateNode"
+        ],
+        {
+            "title_aux": "ComfyUI-UniAnimate"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-WhisperX": [
+        [
+            "LoadAudio",
+            "PreViewSRT",
+            "WhisperX"
+        ],
+        {
+            "title_aux": "ComfyUI-WhisperX"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-XTTS": [
+        [
+            "LoadAudioPath",
+            "LoadSRT",
+            "PreViewAudio",
+            "XTTS_INFER",
+            "XTTS_INFER_SRT"
+        ],
+        {
+            "title_aux": "ComfyUI-XTTS"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI_V-Express": [
+        [
+            "LoadAudioPath",
+            "LoadImagePath",
+            "LoadVideo",
+            "PreViewVideo",
+            "VExpress"
+        ],
+        {
+            "title_aux": "ComfyUI_V-Express"
+        }
+    ],
+    "https://github.com/AIFSH/CosyVoice-ComfyUI": [
+        [
+            "CosyVoiceDubbingNode",
+            "CosyVoiceNode",
+            "LoadSRT",
+            "TextNode"
+        ],
+        {
+            "title_aux": "CosyVoice-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/DHLive-ComfyUI": [
+        [
+            "CombineVideo",
+            "DHLIVELoadVideo",
+            "DHLiveNode",
+            "PreViewVideo",
+            "StaticVideo"
+        ],
+        {
+            "title_aux": "DHLive-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/DiffMorpher-ComfyUI": [
+        [
+            "DiffMorpherNode",
+            "PreViewGIF",
+            "TextNode"
+        ],
+        {
+            "title_aux": "DiffMorpher-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/FancyVideo-ComfyUI": [
+        [
+            "FancyVideoNode",
+            "PreViewVideo",
+            "TextEncode"
+        ],
+        {
+            "title_aux": "FancyVideo-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/GSTTS-ComfyUI": [
+        [
+            "ASRNode",
+            "AudioSlicerNode",
+            "ConfigGPTNode",
+            "ConfigSoVITSNode",
+            "DatasetNode",
+            "ExperienceNode",
+            "GSFinetuneNone",
+            "GSVTTSNode",
+            "LoadSRT",
+            "PreViewSRT",
+            "TSCY_Node",
+            "TextDictNode"
+        ],
+        {
+            "title_aux": "GSTTS-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/SenseVoice-ComfyUI": [
+        [
+            "SenseVoiceNode",
+            "ShowTextNode"
+        ],
+        {
+            "title_aux": "SenseVoice-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/StyleShot-ComfyUI": [
+        [
+            "StyleShotNode",
+            "TextNode"
+        ],
+        {
+            "title_aux": "StyleShot-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/VideoSys-ComfyUI": [
+        [
+            "PreViewVideo",
+            "TextNode",
+            "VideoSysNode"
+        ],
+        {
+            "title_aux": "VideoSys-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/VocalSeparation-ComfyUI": [
+        [
+            "VocalSeparationNode"
+        ],
+        {
+            "title_aux": "VocalSeparation-ComfyUI"
+        }
+    ],
+    "https://github.com/AIGCTeam/ComfyUI_kkTranslator_nodes": [
+        [
+            "LoadMarianMTCheckPoint",
+            "PromptBaiduFanyiToText",
+            "PromptTranslateToText"
+        ],
+        {
+            "title_aux": "ComfyUI_kkTranslator_nodes"
+        }
+    ],
+    "https://github.com/AIGODLIKE/ComfyUI-CUP": [
+        [
+            "Mask",
+            "OpenPose",
+            "OpenPoseCanny",
+            "OpenPoseDepth",
+            "OpenPoseFace",
+            "OpenPoseFull",
+            "OpenPoseFullExtraLimb",
+            "OpenPoseHand",
+            "OpenPoseKeyPose",
+            "OpenPoseLineart",
+            "OpenPoseMediaPipeFace",
+            "PreviewAudio",
+            "SaveAudioBL",
+            "\u5b58\u50a8",
+            "\u5bfc\u5165",
+            "\u622a\u56fe",
+            "\u6750\u8d28\u56fe",
+            "\u8f93\u5165\u56fe\u50cf",
+            "\u9884\u89c8"
+        ],
+        {
+            "title_aux": "ComfyUI-CUP"
+        }
+    ],
+    "https://github.com/AIGODLIKE/ComfyUI-ToonCrafter": [
+        [
+            "ToonCrafterNode",
+            "ToonCrafterWithSketch"
+        ],
+        {
+            "title_aux": "ComfyUI-ToonCrafter"
+        }
+    ],
+    "https://github.com/AInseven/ComfyUI-fastblend": [
+        [
+            "FillDarkMask",
+            "InterpolateKeyFrame",
+            "MaskListcaptoBatch",
+            "Merge_Image_List",
+            "MyOpenPoseNode",
+            "SmoothVideo",
+            "alert_when_finished",
+            "reBatchImage"
+        ],
+        {
+            "title_aux": "ComfyUI-fastblend"
+        }
+    ],
+    "https://github.com/AIrjen/OneButtonPrompt": [
+        [
+            "AutoNegativePrompt",
+            "CreatePromptVariant",
+            "OneButtonArtify",
+            "OneButtonFlufferize",
+            "OneButtonPreset",
+            "OneButtonPrompt",
+            "OneButtonSuperPrompt",
+            "SavePromptToFile"
+        ],
+        {
+            "title_aux": "One Button Prompt"
+        }
+    ],
+    "https://github.com/ALatentPlace/ComfyUI_yanc": [
+        [
+            "> Bloom",
+            "> Blur",
+            "> Brightness",
+            "> Clear Text",
+            "> Combine Channels",
+            "> Contrast",
+            "> Divide Channels",
+            "> Edge Enhance",
+            "> Film Grain",
+            "> Float to Int",
+            "> Fog",
+            "> Get Mean Color",
+            "> HUE",
+            "> Int",
+            "> Int to Text",
+            "> Layer Weights (for IPAMS)",
+            "> Lens Distortion",
+            "> Light Source Mask",
+            "> Load Image",
+            "> Load Image From Folder",
+            "> Mask Curves",
+            "> NIKSampler",
+            "> Noise From Image",
+            "> Normal Map Lighting",
+            "> RGB Color",
+            "> RGB Shift",
+            "> Resolution by Aspect Ratio",
+            "> Rotate Image",
+            "> Saturation",
+            "> Save Image",
+            "> Scale Image to Side",
+            "> Scanlines",
+            "> Sharpen",
+            "> Text",
+            "> Text Combine",
+            "> Text Pick Line by Index",
+            "> Text Pick Random Line",
+            "> Text Random Weights",
+            "> Text Replace",
+            "> Vignette"
+        ],
+        {
+            "title_aux": "ComfyUI_yanc"
+        }
+    ],
+    "https://github.com/APZmedia/ComfyUI-APZmedia-cleanName-from-string": [
+        [
+            "CleanFileNameNode",
+            "GenerateFilePathNode"
+        ],
+        {
+            "title_aux": "APZmedia Clean Name"
+        }
+    ],
+    "https://github.com/Aaron-CHM/ComfyUI-z-a1111-sd-webui-DanTagGen": [
+        [
+            "DanTagGen"
+        ],
+        {
+            "title_aux": "z-a1111-sd-webui-DanTagGen"
+        }
+    ],
+    "https://github.com/AbdullahAlfaraj/Comfy-Photoshop-SD": [
+        [
+            "APS_LatentBatch",
+            "APS_Seed",
+            "ContentMaskLatent",
+            "ControlNetScript",
+            "ControlnetUnit",
+            "GaussianLatentImage",
+            "GetConfig",
+            "LoadImageBase64",
+            "LoadImageWithMetaData",
+            "LoadLorasFromPrompt",
+            "MaskExpansion"
+        ],
+        {
+            "title_aux": "Comfy-Photoshop-SD"
+        }
+    ],
+    "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts": [
+        [
+            "KolorsAwesomePrompts"
+        ],
+        {
+            "title_aux": "Kolors Awesome Prompts"
+        }
+    ],
+    "https://github.com/AbyssYuan0/ComfyUI_BadgerTools": [
+        [
+            "ApplyMaskToImage-badger",
+            "CropImageByMask-badger",
+            "ExpandImageWithColor-badger",
+            "FindThickLinesFromCanny-badger",
+            "FloatToInt-badger",
+            "FloatToString-badger",
+            "FrameToVideo-badger",
+            "GETRequset-badger",
+            "GarbageCollect-badger",
+            "GetColorFromBorder-badger",
+            "GetDirName-badger",
+            "GetUUID-badger",
+            "IdentifyBorderColorToMask-badger",
+            "IdentifyColorToMask-badger",
+            "ImageNormalization-badger",
+            "ImageOverlap-badger",
+            "ImageScaleToSide-badger",
+            "IntToString-badger",
+            "IntToStringAdvanced-badger",
+            "LoadImageAdvanced-badger",
+            "LoadImagesFromDirListAdvanced-badger",
+            "RotateImageWithPadding",
+            "SegmentToMaskByPoint-badger",
+            "SimpleBoolean-badger",
+            "StringToFizz-badger",
+            "TextListToString-badger",
+            "ToPixel-badger",
+            "TrimTransparentEdges-badger",
+            "VideoCutFromDir-badger",
+            "VideoToFrame-badger",
+            "deleteDir-badger",
+            "findCenterOfMask-badger",
+            "getImageSide-badger",
+            "getParentDir-badger",
+            "mkdir-badger"
+        ],
+        {
+            "title_aux": "ComfyUI_BadgerTools"
+        }
+    ],
+    "https://github.com/Acly/comfyui-inpaint-nodes": [
+        [
+            "INPAINT_ApplyFooocusInpaint",
+            "INPAINT_DenoiseToCompositingMask",
+            "INPAINT_ExpandMask",
+            "INPAINT_InpaintWithModel",
+            "INPAINT_LoadFooocusInpaint",
+            "INPAINT_LoadInpaintModel",
+            "INPAINT_MaskedBlur",
+            "INPAINT_MaskedFill",
+            "INPAINT_VAEEncodeInpaintConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI Inpaint Nodes"
+        }
+    ],
+    "https://github.com/Acly/comfyui-tooling-nodes": [
+        [
+            "ETN_ApplyMaskToImage",
+            "ETN_AttentionMask",
+            "ETN_BackgroundRegion",
+            "ETN_CropImage",
+            "ETN_DefineRegion",
+            "ETN_ExtractImageTile",
+            "ETN_ExtractMaskTile",
+            "ETN_GenerateTileMask",
+            "ETN_ListRegionMasks",
+            "ETN_LoadImageBase64",
+            "ETN_LoadMaskBase64",
+            "ETN_MergeImageTile",
+            "ETN_NSFWFilter",
+            "ETN_SendImageWebSocket",
+            "ETN_TileLayout",
+            "ETN_Translate"
+        ],
+        {
+            "title_aux": "ComfyUI Nodes for External Tooling"
+        }
+    ],
+    "https://github.com/AiMiDi/ComfyUI-Aimidi-nodes": [
+        [
+            "Add Tag",
+            "Clear Tag",
+            "Load Images Pair Batch",
+            "Merge Tag",
+            "Move Tag To Top",
+            "Reserve Tag",
+            "Save Images Pair"
+        ],
+        {
+            "title_aux": "ComfyUI-Aimidi-nodes"
+        }
+    ],
+    "https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet": [
+        [
+            "ArgosTranslateCLIPTextEncodeNode",
+            "ArgosTranslateTextNode",
+            "ColorsCorrectNode",
+            "DeepTranslatorCLIPTextEncodeNode",
+            "DeepTranslatorTextNode",
+            "GoogleTranslateCLIPTextEncodeNode",
+            "GoogleTranslateTextNode",
+            "HexToHueNode",
+            "IDENode",
+            "PainterNode",
+            "PoseNode",
+            "PreviewTextNode"
+        ],
+        {
+            "title_aux": "AlekPet/ComfyUI_Custom_Nodes_AlekPet"
+        }
+    ],
+    "https://github.com/Amorano/Jovimetrix": [
+        [
+            "ADJUST (JOV) \ud83d\udd78\ufe0f",
+            "AKASHIC (JOV) \ud83d\udcd3",
+            "ARRAY (JOV) \ud83d\udcda",
+            "BLEND (JOV) \u2697\ufe0f",
+            "COLOR BLIND (JOV) \ud83d\udc41\u200d\ud83d\udde8",
+            "COLOR MATCH (JOV) \ud83d\udc9e",
+            "COLOR THEORY (JOV) \ud83d\udede",
+            "COMPARISON (JOV) \ud83d\udd75\ud83c\udffd",
+            "CONSTANT (JOV) \ud83d\udfea",
+            "CROP (JOV) \u2702\ufe0f",
+            "DELAY (JOV) \u270b\ud83c\udffd",
+            "EXPORT (JOV) \ud83d\udcfd",
+            "FILTER MASK (JOV) \ud83e\udd3f",
+            "FLATTEN (JOV) \u2b07\ufe0f",
+            "GLSL (JOV) \ud83c\udf69",
+            "GLSL BLEND LINEAR (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL GRAYSCALE (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL HSV-2-LAB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL HSV-2-RGB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL LAB-2-HSV (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL LAB-2-RGB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL LAB-2-XYZ (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL NORMAL (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL NORMAL BLEND (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL RGB-2-HSV (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL RGB-2-LAB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL RGB-2-XYZ (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL XYZ-2-LAB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL XYZ-2-RGB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GRADIENT MAP (JOV) \ud83c\uddf2\ud83c\uddfa",
+            "GRAPH (JOV) \ud83d\udcc8",
+            "IMAGE INFO (JOV) \ud83d\udcda",
+            "LERP (JOV) \ud83d\udd30",
+            "MIDI FILTER (JOV) \u2733\ufe0f",
+            "MIDI FILTER EZ (JOV) \u2747\ufe0f",
+            "MIDI MESSAGE (JOV) \ud83c\udf9b\ufe0f",
+            "MIDI READER (JOV) \ud83c\udfb9",
+            "OP BINARY (JOV) \ud83c\udf1f",
+            "OP UNARY (JOV) \ud83c\udfb2",
+            "PIXEL MERGE (JOV) \ud83e\udec2",
+            "PIXEL SPLIT (JOV) \ud83d\udc94",
+            "PIXEL SWAP (JOV) \ud83d\udd03",
+            "QUEUE (JOV) \ud83d\uddc3",
+            "ROUTE (JOV) \ud83d\ude8c",
+            "SAVE OUTPUT (JOV) \ud83d\udcbe",
+            "SHAPE GEN (JOV) \u2728",
+            "SPOUT WRITER (JOV) \ud83c\udfa5",
+            "STACK (JOV) \u2795",
+            "STEREOGRAM (JOV) \ud83d\udcfb",
+            "STEREOSCOPIC (JOV) \ud83d\udd76\ufe0f",
+            "STREAM READER (JOV) \ud83d\udcfa",
+            "STREAM WRITER (JOV) \ud83c\udf9e\ufe0f",
+            "STRINGER (JOV) \ud83e\ude80",
+            "SWIZZLE (JOV) \ud83d\ude35",
+            "TEXT GEN (JOV) \ud83d\udcdd",
+            "THRESHOLD (JOV) \ud83d\udcc9",
+            "TICK (JOV) \u23f1",
+            "TRANSFORM (JOV) \ud83c\udfdd\ufe0f",
+            "VALUE (JOV) \ud83e\uddec",
+            "WAVE GEN (JOV) \ud83c\udf0a",
+            "WAVE GRAPH (JOV) \u25b6 \u0131l\u0131\u0131l\u0131"
+        ],
+        {
+            "author": "amorano",
+            "description": "Integrates Webcam, MIDI, Spout and GLSL shader support. Animation",
+            "nodename_pattern": " \\(JOV\\)$",
+            "title": "Jovimetrix",
+            "title_aux": "Jovimetrix Composition Nodes"
+        }
+    ],
+    "https://github.com/Anibaaal/ComfyUI-UX-Nodes": [
+        [
+            "CheckpointLoaderBNB",
+            "EasyResolutionPicker",
+            "ModelSave",
+            "UNETLoaderBNB"
+        ],
+        {
+            "title_aux": "ComfyUI UX Nodes"
+        }
+    ],
+    "https://github.com/AonekoSS/ComfyUI-LoRA-Tuner": [
+        [
+            "LoraTuner"
+        ],
+        {
+            "title_aux": "ComfyUI-LoRA-Tuner"
+        }
+    ],
+    "https://github.com/AonekoSS/ComfyUI-SimpleCounter": [
+        [
+            "Simple Counter"
+        ],
+        {
+            "title_aux": "ComfyUI-SimpleCounter"
+        }
+    ],
+    "https://github.com/ArcherFMY/Diffusion360_ComfyUI": [
+        [
+            "Diffusion360LoaderImage2Pano",
+            "Diffusion360LoaderText2Pano",
+            "Diffusion360Sampler",
+            "Diffusion360SamplerImage2Pano",
+            "Diffusion360SamplerText2Pano",
+            "InputImage",
+            "InputText",
+            "VAEDecodeTiledBlended"
+        ],
+        {
+            "title_aux": "Diffusion360_ComfyUI"
+        }
+    ],
+    "https://github.com/ArdeniusAI/CPlus_Ardenius": [
+        [
+            "Control_Box"
+        ],
+        {
+            "author": "initials AMA",
+            "description": "CPlus control box is designed to gather workflow variables into 1 node for easier control of your workflow.",
+            "nickname": "Ardenius",
+            "title": "Ardenius",
+            "title_aux": "CPlus_Ardenius ComfyUI Control Box"
+        }
+    ],
+    "https://github.com/ArtBot2023/CharacterFaceSwap": [
+        [
+            "Color Blend",
+            "Crop Face",
+            "Exclude Facial Feature",
+            "Generation Parameter Input",
+            "Generation Parameter Output",
+            "Image Full BBox",
+            "Load BiseNet",
+            "Load RetinaFace",
+            "Mask Contour",
+            "Segment Face",
+            "Uncrop Face"
+        ],
+        {
+            "title_aux": "Character Face Swap"
+        }
+    ],
+    "https://github.com/ArtVentureX/comfyui-animatediff": [
+        [
+            "AnimateDiffCombine",
+            "AnimateDiffLoraLoader",
+            "AnimateDiffModuleLoader",
+            "AnimateDiffSampler",
+            "AnimateDiffSlidingWindowOptions",
+            "ImageSizeAndBatchSize",
+            "LoadVideo"
+        ],
+        {
+            "title_aux": "AnimateDiff"
+        }
+    ],
+    "https://github.com/AshMartian/ComfyUI-DirGir": [
+        [
+            "Dir_Gir_Looper",
+            "Dir_Gir_Picker",
+            "Gir_Image_Nabber"
+        ],
+        {
+            "title_aux": "Dir Gir"
+        }
+    ],
+    "https://github.com/AuroBit/ComfyUI-AnimateAnyone-reproduction": [
+        [
+            "AnimateAnyone"
+        ],
+        {
+            "title_aux": "ComfyUI-AnimateAnyone-reproduction"
+        }
+    ],
+    "https://github.com/AustinMroz/ComfyUI-DynamicOversampling": [
+        [
+            "DynamicSampler",
+            "MeasuredSampler",
+            "ResolveMaskPromise"
+        ],
+        {
+            "title_aux": "DynamicOversampling"
+        }
+    ],
+    "https://github.com/AustinMroz/ComfyUI-SpliceTools": [
+        [
+            "LogSigmas",
+            "RerangeSigmas",
+            "SpliceDenoised",
+            "SpliceLatents",
+            "TemporalSplice"
+        ],
+        {
+            "title_aux": "SpliceTools"
+        }
+    ],
+    "https://github.com/Auttasak-L/ComfyUI-ImageCropper": [
+        [
+            "ImageCropper"
+        ],
+        {
+            "title_aux": "ComfyUI-ImageCropper"
+        }
+    ],
+    "https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader": [
+        [
+            "RSSFeedNode"
+        ],
+        {
+            "title_aux": "ComfyUI_RSS_Feed_Reader"
+        }
+    ],
+    "https://github.com/BXYMartin/ComfyUI-InstantIDUtils": [
+        [
+            "ListOfImages",
+            "MultiControlNetConverter",
+            "NHWC2NCHWTensor",
+            "NHWCTensor2PIL",
+            "PIL2NHWCTensor"
+        ],
+        {
+            "title_aux": "ComfyUI-InstantIDUtils"
+        }
+    ],
+    "https://github.com/BadCafeCode/masquerade-nodes-comfyui": [
+        [
+            "Blur",
+            "Change Channel Count",
+            "Combine Masks",
+            "Constant Mask",
+            "Convert Color Space",
+            "Create QR Code",
+            "Create Rect Mask",
+            "Cut By Mask",
+            "Get Image Size",
+            "Image To Mask",
+            "Make Image Batch",
+            "Mask By Text",
+            "Mask Morphology",
+            "Mask To Region",
+            "MasqueradeIncrementer",
+            "Mix Color By Mask",
+            "Mix Images By Mask",
+            "Paste By Mask",
+            "Prune By Mask",
+            "Separate Mask Components",
+            "Unary Image Op",
+            "Unary Mask Op"
+        ],
+        {
+            "title_aux": "Masquerade Nodes"
+        }
+    ],
+    "https://github.com/Beinsezii/bsz-cui-extras": [
+        [
+            "BSZAbsoluteHires",
+            "BSZAspectHires",
+            "BSZColoredLatentImageXL",
+            "BSZCombinedHires",
+            "BSZHueChromaXL",
+            "BSZInjectionKSampler",
+            "BSZLatentDebug",
+            "BSZLatentFill",
+            "BSZLatentGradient",
+            "BSZLatentHSVAImage",
+            "BSZLatentOffsetXL",
+            "BSZLatentRGBAImage",
+            "BSZLatentbuster",
+            "BSZPixelbuster",
+            "BSZPixelbusterHelp",
+            "BSZPrincipledConditioning",
+            "BSZPrincipledSampler",
+            "BSZPrincipledScale",
+            "BSZStrangeResample"
+        ],
+        {
+            "title_aux": "bsz-cui-extras"
+        }
+    ],
+    "https://github.com/BenNarum/ComfyUI_CAS": [
+        [
+            "AttentionToSigmas",
+            "AttenuatorNode",
+            "BasicCFGGuider",
+            "CELU",
+            "CustomAdvancedSampler",
+            "CustomLCMCFGPP",
+            "CustomModelSamplingDiscreteDistilledAncestralCFGPP",
+            "CustomModelSamplingDiscreteDistilledCFGPP",
+            "CustomX0AncestralCFGPP",
+            "CustomX0CFGPP",
+            "ELU",
+            "EPSCFGPPScheduler",
+            "GELU",
+            "GLU",
+            "HardTanhScheduler",
+            "Hardshrink",
+            "Hardsigmoid",
+            "Hardswish",
+            "Hardtanh",
+            "LatentActivation",
+            "LatentChannelPresets",
+            "LatentConvolution",
+            "LatentFFT",
+            "LatentFrequencyPresets",
+            "LatentGlitch",
+            "LatentMath",
+            "LatentMathFormulaBuilder",
+            "LatentMosaic",
+            "LatentNoisePresets",
+            "LatentPixelSort",
+            "LatentSelfAttention",
+            "LatentTwist",
+            "LatentValuePresets",
+            "LatentWarpPresets",
+            "LeakyReLU",
+            "LogSigmoid",
+            "LogSoftmax",
+            "Mish",
+            "PReLU",
+            "RReLU",
+            "ReLU",
+            "ReLU6",
+            "SELU",
+            "SamplerCustomLCMCFGPP",
+            "SamplerCustomModelSamplingDiscreteDistilledAncestralCFGPP",
+            "SamplerCustomModelSamplingDiscreteDistilledCFGPP",
+            "SamplerCustomX0AncestralCFGPP",
+            "SamplerCustomX0CFGPP",
+            "SamplerDPMCFGPP",
+            "SamplerDynamicCFGPP",
+            "SamplerEulerAttnCFGPP",
+            "SamplerEulerStepControlAncestralCFGPP",
+            "SamplerHeunCFGPP",
+            "SamplerLCMUpscaleW",
+            "SamplerLCMUpscaleWCFGPP",
+            "SamplerLCMUpscaleWGPU",
+            "SamplerStepSizeControlCFGPP",
+            "SamplerWeightedCFGPP",
+            "SiLU",
+            "Softmax",
+            "Softmax2D",
+            "SoftmaxScheduler",
+            "Softmin",
+            "Softplus",
+            "Softshrink",
+            "Softsign",
+            "Tanh",
+            "Tanhshrink",
+            "Threshold",
+            "tcd_euler_a_w",
+            "tcd_w"
+        ],
+        {
+            "title_aux": "ComfyUI_CAS"
+        }
+    ],
+    "https://github.com/BenNarum/SigmaWaveFormNode": [
+        [
+            "AttenuatorNode",
+            "FourierFilterNode",
+            "PhaseLockedLoopNode",
+            "SigmaWaveFormNode",
+            "SigmaWaveFormNodeAdvanced",
+            "SigmaWaveFormNodeSimple"
+        ],
+        {
+            "title_aux": "SigmaWaveFormNodes"
+        }
+    ],
+    "https://github.com/BennyKok/comfyui-deploy": [
+        [
+            "ComfyDeployWebscoketImageInput",
+            "ComfyDeployWebscoketImageOutput",
+            "ComfyUIDeployExternalBoolean",
+            "ComfyUIDeployExternalCheckpoint",
+            "ComfyUIDeployExternalImage",
+            "ComfyUIDeployExternalImageAlpha",
+            "ComfyUIDeployExternalImageBatch",
+            "ComfyUIDeployExternalLora",
+            "ComfyUIDeployExternalNumber",
+            "ComfyUIDeployExternalNumberInt",
+            "ComfyUIDeployExternalNumberSlider",
+            "ComfyUIDeployExternalText",
+            "ComfyUIDeployExternalTextList",
+            "ComfyUIDeployExternalVid",
+            "ComfyUIDeployExternalVideo"
+        ],
+        {
+            "author": "BennyKok",
+            "description": "",
+            "nickname": "Comfy Deploy",
+            "title": "comfyui-deploy",
+            "title_aux": "ComfyUI Deploy"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding": [
+        [
+            "GatchaEmbedding"
+        ],
+        {
+            "title_aux": "Gatcha Embeddings"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-VideoPlayer": [
+        [
+            "AllInOnePlayer",
+            "ImageToEmoji",
+            "LoadFrame",
+            "LoadJPGFrame",
+            "LoadVideoFrame"
+        ],
+        {
+            "title_aux": "ComfyUI Video Player"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-WDV-Nodes": [
+        [
+            "ModelSamplingWaifuDiffusionV"
+        ],
+        {
+            "title_aux": "neggles/ComfyUI-WDV-Nodes [gist-wrapper]"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-YetAnotherSafetyChecker": [
+        [
+            "YetAnotherSafetyChecker"
+        ],
+        {
+            "title_aux": "ComfyUI YetAnotherSafetyChecker"
+        }
+    ],
+    "https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools": [
+        [
+            "BTPromptSchedule",
+            "BTPromptSelector",
+            "EndQueue",
+            "ImageTextOverlay",
+            "Loop",
+            "LoopEnd",
+            "LoopStart"
+        ],
+        {
+            "title_aux": "ComfyUI-Book-Tools Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/Big-Idea-Technology/ComfyUI_LLM_Node": [
+        [
+            "AdvOptions_Node",
+            "CodingOptionsNode",
+            "LLM_Node",
+            "Output_Node",
+            "QuantizationConfig_Node"
+        ],
+        {
+            "title_aux": "LLM Node for ComfyUI"
+        }
+    ],
+    "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions/raw/main/EXT_AudioManipulation.py": [
+        [
+            "BatchJoinAudio",
+            "CutAudio",
+            "DuplicateAudio",
+            "JoinAudio",
+            "ResampleAudio",
+            "ReverseAudio",
+            "StretchAudio"
+        ],
+        {
+            "title_aux": "Waveform Extensions"
+        }
+    ],
+    "https://github.com/Billius-AI/ComfyUI-Path-Helper": [
+        [
+            "Add File Name Prefix",
+            "Add File Name Prefix Advanced",
+            "Add Folder",
+            "Add Folder Advanced",
+            "Create Project Root",
+            "Join Variables",
+            "Show Path",
+            "Show String"
+        ],
+        {
+            "title_aux": "ComfyUI-Path-Helper"
+        }
+    ],
+    "https://github.com/BlakeOne/ComfyUI-CustomScheduler": [
+        [
+            "CustomScheduler"
+        ],
+        {
+            "title_aux": "ComfyUI CustomScheduler"
+        }
+    ],
+    "https://github.com/BlakeOne/ComfyUI-SchedulerMixer": [
+        [
+            "SchedulerMixer"
+        ],
+        {
+            "title_aux": "ComfyUI SchedulerMixer"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb": [
+        [
+            "BNK_AddCLIPSDXLParams",
+            "BNK_AddCLIPSDXLRParams",
+            "BNK_CLIPTextEncodeAdvanced",
+            "BNK_CLIPTextEncodeSDXLAdvanced"
+        ],
+        {
+            "title_aux": "Advanced CLIP Text Encode"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_Cutoff": [
+        [
+            "BNK_CutoffBasePrompt",
+            "BNK_CutoffRegionsToConditioning",
+            "BNK_CutoffRegionsToConditioning_ADV",
+            "BNK_CutoffSetRegions"
+        ],
+        {
+            "title_aux": "ComfyUI Cutoff"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_Noise": [
+        [
+            "BNK_DuplicateBatchIndex",
+            "BNK_GetSigma",
+            "BNK_InjectNoise",
+            "BNK_NoisyLatentImage",
+            "BNK_SlerpLatent",
+            "BNK_Unsampler"
+        ],
+        {
+            "title_aux": "ComfyUI Noise"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_SeeCoder": [
+        [
+            "ConcatConditioning",
+            "SEECoderImageEncode"
+        ],
+        {
+            "title_aux": "SeeCoder [WIP]"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_TiledKSampler": [
+        [
+            "BNK_TiledKSampler",
+            "BNK_TiledKSamplerAdvanced"
+        ],
+        {
+            "title_aux": "Tiled sampling for ComfyUI"
+        }
+    ],
+    "https://github.com/CC-BryanOttho/ComfyUI_API_Manager": [
+        [
+            "APIRequestNode",
+            "PostImageToAPI",
+            "TextPromptCombinerNode"
+        ],
+        {
+            "title_aux": "ComfyUI_API_Manager"
+        }
+    ],
+    "https://github.com/CYBERLOOM-INC/ComfyUI-nodes-hnmr": [
+        [
+            "CLIPIter",
+            "Dict2Model",
+            "GridImage",
+            "ImageBlend2",
+            "KSamplerOverrided",
+            "KSamplerSetting",
+            "KSamplerXYZ",
+            "LatentToHist",
+            "LatentToImage",
+            "ModelIter",
+            "RandomLatentImage",
+            "SaveStateDict",
+            "SaveText",
+            "StateDictLoader",
+            "StateDictMerger",
+            "StateDictMergerBlockWeighted",
+            "StateDictMergerBlockWeightedMulti",
+            "VAEDecodeBatched",
+            "VAEEncodeBatched",
+            "VAEIter"
+        ],
+        {
+            "title_aux": "ComfyUI-nodes-hnmr"
+        }
+    ],
+    "https://github.com/CaptainGrock/ComfyUIInvisibleWatermark/raw/main/Invisible%20Watermark.py": [
+        [
+            "Apply Invisible Watermark",
+            "Extract Watermark"
+        ],
+        {
+            "title_aux": "ComfyUIInvisibleWatermark"
+        }
+    ],
+    "https://github.com/Chan-0312/ComfyUI-EasyDeforum": [
+        [
+            "Easy2DDeforum"
+        ],
+        {
+            "title_aux": "ComfyUI-EasyDeforum"
+        }
+    ],
+    "https://github.com/Chan-0312/ComfyUI-IPAnimate": [
+        [
+            "IPAdapterAnimate"
+        ],
+        {
+            "title_aux": "ComfyUI-IPAnimate"
+        }
+    ],
+    "https://github.com/Chan-0312/ComfyUI-Prompt-Preview": [
+        [
+            "SDXLPromptStylerAdvancedPreview",
+            "SDXLPromptStylerPreview"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompt-Preview"
+        }
+    ],
+    "https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes": [
+        [
+            "ImageToPIL",
+            "LoadImageFromPath",
+            "PILToImage",
+            "PILToMask"
+        ],
+        {
+            "title_aux": "ComfyUI_Ib_CustomNodes"
+        }
+    ],
+    "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor": [
+        [
+            "Resource Monitor"
+        ],
+        {
+            "title_aux": "ComfyUI-Elegant-Resource-Monitor"
+        }
+    ],
+    "https://github.com/ChrisColeTech/ComfyUI-Line-counter": [
+        [
+            "Directory File Counter",
+            "Simple Number Counter",
+            "Text File Line Counter"
+        ],
+        {
+            "title_aux": "ComfyUI-Line-counter"
+        }
+    ],
+    "https://github.com/Clybius/ComfyUI-Extra-Samplers": [
+        [
+            "GeometricCFGGuider",
+            "ImageAssistedCFGGuider",
+            "MegaCFGGuider",
+            "SamplerCLYB_4M_SDE_Momentumized",
+            "SamplerCustomModelMixtureDuo",
+            "SamplerCustomNoise",
+            "SamplerCustomNoiseDuo",
+            "SamplerDPMPP_3M_SDE_DynETA",
+            "SamplerDPMPP_DualSDE_Momentumized",
+            "SamplerEulerAncestralDancing_Experimental",
+            "SamplerLCMCustom",
+            "SamplerRES_Momentumized",
+            "SamplerSupreme",
+            "SamplerTTM",
+            "ScaledCFGGuider",
+            "SimpleExponentialScheduler",
+            "WarmupDecayCFGGuider"
+        ],
+        {
+            "title_aux": "ComfyUI Extra Samplers"
+        }
+    ],
+    "https://github.com/Clybius/ComfyUI-Latent-Modifiers": [
+        [
+            "Latent Diffusion Mega Modifier"
+        ],
+        {
+            "title_aux": "ComfyUI-Latent-Modifiers"
+        }
+    ],
+    "https://github.com/CosmicLaca/ComfyUI_Primere_Nodes": [
+        [
+            "PrimereAestheticCKPTScorer",
+            "PrimereAnyDetailer",
+            "PrimereAnyOutput",
+            "PrimereCKPT",
+            "PrimereCKPTLoader",
+            "PrimereCLIPEncoder",
+            "PrimereClearPrompt",
+            "PrimereConceptDataTuple",
+            "PrimereDynamicParser",
+            "PrimereEmbedding",
+            "PrimereEmbeddingHandler",
+            "PrimereEmbeddingKeywordMerger",
+            "PrimereEmotionsStyles",
+            "PrimereHypernetwork",
+            "PrimereImageSegments",
+            "PrimereKSampler",
+            "PrimereLCMSelector",
+            "PrimereLORA",
+            "PrimereLYCORIS",
+            "PrimereLatentNoise",
+            "PrimereLoraKeywordMerger",
+            "PrimereLoraStackMerger",
+            "PrimereLycorisKeywordMerger",
+            "PrimereLycorisStackMerger",
+            "PrimereMetaCollector",
+            "PrimereMetaDistributor",
+            "PrimereMetaDistributorStage2",
+            "PrimereMetaHandler",
+            "PrimereMetaRead",
+            "PrimereMetaSave",
+            "PrimereMidjourneyStyles",
+            "PrimereModelConceptSelector",
+            "PrimereModelKeyword",
+            "PrimereNetworkTagLoader",
+            "PrimerePreviewImage",
+            "PrimerePrompt",
+            "PrimerePromptOrganizer",
+            "PrimerePromptSwitch",
+            "PrimereRefinerPrompt",
+            "PrimereResolution",
+            "PrimereResolutionCoordinatorMPX",
+            "PrimereResolutionMultiplier",
+            "PrimereResolutionMultiplierMPX",
+            "PrimereSamplers",
+            "PrimereSamplersSteps",
+            "PrimereSeed",
+            "PrimereStepsCfg",
+            "PrimereStyleLoader",
+            "PrimereStylePile",
+            "PrimereTextOutput",
+            "PrimereUpscaleModel",
+            "PrimereVAE",
+            "PrimereVAELoader",
+            "PrimereVAESelector",
+            "PrimereVisualCKPT",
+            "PrimereVisualEmbedding",
+            "PrimereVisualHypernetwork",
+            "PrimereVisualLORA",
+            "PrimereVisualLYCORIS",
+            "PrimereVisualStyle"
+        ],
+        {
+            "title_aux": "Primere nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/Cyber-Blacat/ComfyUI-Yuan": [
+        [
+            "Image Judgment",
+            "ImageMinusMask",
+            "Yuan",
+            "Yuan Transfer",
+            "YuanBW"
+        ],
+        {
+            "title_aux": "ComfyUI-Yuan"
+        }
+    ],
+    "https://github.com/Cyberschorsch/ComfyUI-checkpoint-config-loader": [
+        [
+            "Checkpoint Loader Config"
+        ],
+        {
+            "title_aux": "ComfyUI Checkpoint Loader Config"
+        }
+    ],
+    "https://github.com/Danand/ComfyUI-ComfyCouple": [
+        [
+            "Attention couple",
+            "Comfy Couple"
+        ],
+        {
+            "author": "Rei D.",
+            "description": "If you want to draw two different characters together without blending their features, so you could try to check out this custom node.",
+            "nickname": "Danand",
+            "title": "Comfy Couple",
+            "title_aux": "Comfy Couple"
+        }
+    ],
+    "https://github.com/DanielHabib/ComfyUI-Voxels": [
+        [
+            "ImageBatchToImageList",
+            "MaskBatchToMaskList",
+            "MeshToVoxel",
+            "VoxelBlockLoader",
+            "VoxelBlockSaver",
+            "VoxelBlocksIntoVoxelVideo",
+            "VoxelVideoAPIInputNode",
+            "VoxelVideoLoader",
+            "VoxelVideoPreview",
+            "VoxelVideoViewer",
+            "VoxelViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Voxels"
+        }
+    ],
+    "https://github.com/DannyStone1999/ComfyUI-Depth2Mask/raw/main/Depth2Mask.py": [
+        [
+            "Depth2Mask"
+        ],
+        {
+            "title_aux": "ComfyUI-Depth2Mask"
+        }
+    ],
+    "https://github.com/DarKDinDoN/comfyui-checkpoint-automatic-config": [
+        [
+            "CheckpointAutomaticConfig",
+            "ConfigPipe"
+        ],
+        {
+            "title_aux": "ComfyUI Checkpoint Automatic Config"
+        }
+    ],
+    "https://github.com/DataCTE/prompt_injection": [
+        [
+            "AdvancedPromptInjection",
+            "PromptInjection",
+            "SVDPromptInjection",
+            "SimplePromptInjection"
+        ],
+        {
+            "title_aux": "Prompt Injection Node for ComfyUI"
+        }
+    ],
+    "https://github.com/DeJoker/pipeline-parallel-comfy": [
+        [
+            "PipelineParallel"
+        ],
+        {
+            "title_aux": "Pipeline Parallel ComfyUI"
+        }
+    ],
+    "https://github.com/Derfuu/Derfuu_ComfyUI_ModdedNodes": [
+        [],
+        {
+            "author": "Derfuu",
+            "description": "Pack of simple (or not) and modded nodes for scaling images/latents, editing numbers or text. Automate calculations depending on image sizes or any other thing you want. Or randomize any number in your workflow. Debug node included.",
+            "nickname": "Derfuu simple/modded Nodes",
+            "nodename_pattern": "^DF_",
+            "title": "Derfuu simple/modded Nodes",
+            "title_aux": "Derfuu_ComfyUI_ModdedNodes"
+        }
+    ],
+    "https://github.com/Dobidop/ComfyStereo": [
+        [
+            "LazyStereo",
+            "StereoImageNode"
+        ],
+        {
+            "title_aux": "Dobidop ComfyStereo"
+        }
+    ],
+    "https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes": [
+        [
+            "ApplySerialPrompter",
+            "ImageSizer",
+            "SerialPrompter"
+        ],
+        {
+            "author": "CRE8IT GmbH",
+            "description": "This extension offers various nodes.",
+            "nickname": "cre8Nodes",
+            "title": "cr8SerialPrompter",
+            "title_aux": "ComfyUI-Cre8it-Nodes"
+        }
+    ],
+    "https://github.com/DrMWeigand/ComfyUI_ColorImageDetection": [
+        [
+            "LABColorDetection",
+            "RGBColorDetection"
+        ],
+        {
+            "title_aux": "ComfyUI Color Detection Nodes"
+        }
+    ],
+    "https://github.com/EeroHeikkinen/ComfyUI-eesahesNodes": [
+        [
+            "InstantX Flux Union ControlNet Loader"
+        ],
+        {
+            "author": "eesahe",
+            "description": "InstantX's Flux union ControlNet loader and implementation",
+            "nickname": "eesahesNodes",
+            "title": "eesahe's Nodes",
+            "title_aux": "ComfyUI-eesahesNodes"
+        }
+    ],
+    "https://github.com/Electrofried/ComfyUI-OpenAINode": [
+        [
+            "OpenAINode"
+        ],
+        {
+            "title_aux": "OpenAINode"
+        }
+    ],
+    "https://github.com/EllangoK/ComfyUI-post-processing-nodes": [
+        [
+            "ArithmeticBlend",
+            "AsciiArt",
+            "Blend",
+            "Blur",
+            "CannyEdgeMask",
+            "ChromaticAberration",
+            "ColorCorrect",
+            "ColorTint",
+            "Dissolve",
+            "Dither",
+            "DodgeAndBurn",
+            "FilmGrain",
+            "Glow",
+            "HSVThresholdMask",
+            "KMeansQuantize",
+            "KuwaharaBlur",
+            "Parabolize",
+            "PencilSketch",
+            "PixelSort",
+            "Pixelize",
+            "Quantize",
+            "Sharpen",
+            "SineWave",
+            "Solarize",
+            "Vignette"
+        ],
+        {
+            "title_aux": "ComfyUI-post-processing-nodes"
+        }
+    ],
+    "https://github.com/EnragedAntelope/ComfyUI-Doubutsu-Describer": [
+        [
+            "DoubutsuDescriber"
+        ],
+        {
+            "title_aux": "ComfyUI-Doubutsu-Describer"
+        }
+    ],
+    "https://github.com/Excidos/ComfyUI-Documents": [
+        [
+            "ChunkRouter",
+            "DocumentLoader",
+            "ImageSelector",
+            "PDFPageSplitter",
+            "PDFToImage",
+            "TextChunker"
+        ],
+        {
+            "title_aux": "ComfyUI-Documents"
+        }
+    ],
+    "https://github.com/Excidos/ComfyUI-Lumina-Next-SFT-DiffusersWrapper": [
+        [
+            "LuminaDiffusersNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Lumina-Next-SFT-DiffusersWrapper"
+        }
+    ],
+    "https://github.com/ExponentialML/ComfyUI_ModelScopeT2V": [
+        [
+            "ModelScopeT2VLoader"
+        ],
+        {
+            "title_aux": "ComfyUI_ModelScopeT2V"
+        }
+    ],
+    "https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter": [
+        [
+            "DynamiCrafterLoader",
+            "DynamiCrafterProcessor"
+        ],
+        {
+            "title_aux": "ComfyUI - Native DynamiCrafter"
+        }
+    ],
+    "https://github.com/ExponentialML/ComfyUI_VisualStylePrompting": [
+        [
+            "ApplyVisualStyle"
+        ],
+        {
+            "title_aux": "ComfyUI_VisualStylePrompting"
+        }
+    ],
+    "https://github.com/Extraltodeus/ComfyUI-AutomaticCFG": [
+        [
+            "Automatic CFG",
+            "Automatic CFG - Advanced",
+            "Automatic CFG - Attention modifiers",
+            "Automatic CFG - Attention modifiers tester",
+            "Automatic CFG - Custom attentions",
+            "Automatic CFG - Excellent attention",
+            "Automatic CFG - Negative",
+            "Automatic CFG - Post rescale only",
+            "Automatic CFG - Preset Loader",
+            "Automatic CFG - Unpatch function",
+            "Automatic CFG - Warp Drive",
+            "SAG delayed activation",
+            "Temperature separate settings CLIP SDXL",
+            "Temperature settings CLIP",
+            "Temperature settings SD 1.5",
+            "Temperature settings SDXL",
+            "Zero Uncond CFG - standalone patch (incompatible with the others)"
+        ],
+        {
+            "title_aux": "ComfyUI-AutomaticCFG"
+        }
+    ],
+    "https://github.com/Extraltodeus/LoadLoraWithTags": [
+        [
+            "LoraLoaderTagsQuery"
+        ],
+        {
+            "title_aux": "LoadLoraWithTags"
+        }
+    ],
+    "https://github.com/Extraltodeus/Skimmed_CFG": [
+        [
+            "Skimmed CFG",
+            "Skimmed CFG - Difference CFG",
+            "Skimmed CFG - linear interpolation",
+            "Skimmed CFG - linear interpolation dual scales",
+            "Skimmed CFG - replace"
+        ],
+        {
+            "title_aux": "Skimmed_CFG"
+        }
+    ],
+    "https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings": [
+        [
+            "CLIP Temperature",
+            "Unet Temperature"
+        ],
+        {
+            "title_aux": "Stable-Diffusion-temperature-settings"
+        }
+    ],
+    "https://github.com/Extraltodeus/Uncond-Zero-for-ComfyUI": [
+        [
+            "Conditioning combine positive and negative",
+            "Conditioning crop or fill",
+            "Uncond Zero",
+            "interrupt on NaN"
+        ],
+        {
+            "title_aux": "Uncond-Zero-for-ComfyUI"
+        }
+    ],
+    "https://github.com/Extraltodeus/Vector_Sculptor_ComfyUI": [
+        [
+            "CLIP Vector Sculptor text encode",
+            "Conditioning (Average keep magnitude)",
+            "Conditioning (Slerp)",
+            "Conditioning SDXL merge clip_g / clip_l",
+            "Conditioning normalize magnitude to empty"
+        ],
+        {
+            "title_aux": "Vector_Sculptor_ComfyUI"
+        }
+    ],
+    "https://github.com/Extraltodeus/noise_latent_perlinpinpin": [
+        [
+            "NoisyLatentPerlin",
+            "NoisyLatentPerlin16ch"
+        ],
+        {
+            "title_aux": "noise latent perlinpinpin"
+        }
+    ],
+    "https://github.com/Extraltodeus/sigmas_tools_and_the_golden_scheduler": [
+        [
+            "Aligned Scheduler",
+            "Gaussian Tail Scheduler",
+            "Get sigmas as float",
+            "Graph sigmas",
+            "Manual scheduler",
+            "Merge many sigmas by average",
+            "Merge sigmas by average",
+            "Merge sigmas gradually",
+            "Multiply sigmas",
+            "Output min/max sigmas",
+            "Split and concatenate sigmas",
+            "The Golden Scheduler"
+        ],
+        {
+            "title_aux": "sigmas_tools_and_the_golden_scheduler"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-Frame-Interpolation": [
+        [
+            "AMT VFI",
+            "CAIN VFI",
+            "FILM VFI",
+            "FLAVR VFI",
+            "GMFSS Fortuna VFI",
+            "IFRNet VFI",
+            "IFUnet VFI",
+            "KSampler Gradually Adding More Denoise (efficient)",
+            "M2M VFI",
+            "Make Interpolation State List",
+            "RIFE VFI",
+            "STMFNet VFI",
+            "Sepconv VFI",
+            "VFI FloatToInt"
+        ],
+        {
+            "title_aux": "ComfyUI Frame Interpolation"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-Loopchain": [
+        [
+            "EmptyLatentImageLoop",
+            "FolderToImageStorage",
+            "ImageStorageExportLoop",
+            "ImageStorageImport",
+            "ImageStorageReset",
+            "LatentStorageExportLoop",
+            "LatentStorageImport",
+            "LatentStorageReset"
+        ],
+        {
+            "title_aux": "ComfyUI Loopchain"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-MagickWand": [
+        [
+            "ImageMagick Adaptive Blur",
+            "ImageMagick Adaptive Resize",
+            "ImageMagick Adaptive Sharpen",
+            "ImageMagick Adaptive Threshold",
+            "ImageMagick Auto Gamma",
+            "ImageMagick Auto Level",
+            "ImageMagick Auto Orient",
+            "ImageMagick Auto Threshold",
+            "ImageMagick Blue Shift",
+            "ImageMagick Blur",
+            "ImageMagick Brightness Contrast",
+            "ImageMagick Canny",
+            "ImageMagick Charcoal",
+            "ImageMagick Chop",
+            "ImageMagick Clahe",
+            "ImageMagick Clamp",
+            "ImageMagick Coalesce",
+            "ImageMagick Color Decision List",
+            "ImageMagick Color Matrix",
+            "ImageMagick Combine",
+            "ImageMagick Concat",
+            "ImageMagick Contrast",
+            "ImageMagick Contrast Stretch",
+            "ImageMagick Crop",
+            "ImageMagick Cycle Color Map",
+            "ImageMagick Decipher",
+            "ImageMagick Despeckle",
+            "ImageMagick Distort",
+            "ImageMagick Edge",
+            "ImageMagick Emboss",
+            "ImageMagick Encipher",
+            "ImageMagick Enhance",
+            "ImageMagick Equalize",
+            "ImageMagick Evaluate",
+            "ImageMagick Extent",
+            "ImageMagick Flip",
+            "ImageMagick Flop",
+            "ImageMagick Forward Fourier Transform",
+            "ImageMagick Function",
+            "ImageMagick Gamma",
+            "ImageMagick Gaussian Blur",
+            "ImageMagick Hough Lines",
+            "ImageMagick Implode",
+            "ImageMagick Kmeans",
+            "ImageMagick Kuwahara",
+            "ImageMagick Level",
+            "ImageMagick Levelize",
+            "ImageMagick Linear Stretch",
+            "ImageMagick Liquid Rescale",
+            "ImageMagick Local Contrast",
+            "ImageMagick Magnify",
+            "ImageMagick Mean Shift",
+            "ImageMagick Merge Layers",
+            "ImageMagick Mode",
+            "ImageMagick Modulate",
+            "ImageMagick Morphology",
+            "ImageMagick Motion Blur",
+            "ImageMagick Negate",
+            "ImageMagick Noise",
+            "ImageMagick Normalize",
+            "ImageMagick Oil Paint",
+            "ImageMagick Ordered Dither",
+            "ImageMagick Polynomial",
+            "ImageMagick Posterize",
+            "ImageMagick Quantize",
+            "ImageMagick Random Threshold",
+            "ImageMagick Range Threshold",
+            "ImageMagick Resample",
+            "ImageMagick Resize",
+            "ImageMagick Roll",
+            "ImageMagick Rotational Blur",
+            "ImageMagick Sample",
+            "ImageMagick Scale",
+            "ImageMagick Selective Blur",
+            "ImageMagick Sepia Tone",
+            "ImageMagick Shade",
+            "ImageMagick Shadow",
+            "ImageMagick Sharpen",
+            "ImageMagick Shave",
+            "ImageMagick Sigmoidal Contrast",
+            "ImageMagick Sketch",
+            "ImageMagick Smush",
+            "ImageMagick Solarize",
+            "ImageMagick Splice",
+            "ImageMagick Spread",
+            "ImageMagick Statistic",
+            "ImageMagick Swirl",
+            "ImageMagick Threshold",
+            "ImageMagick Thumbnail",
+            "ImageMagick Transform",
+            "ImageMagick Transform Colorspace",
+            "ImageMagick Transparentize",
+            "ImageMagick Transpose",
+            "ImageMagick Transverse",
+            "ImageMagick Unsharp Mask",
+            "ImageMagick Vignette",
+            "ImageMagick Wave",
+            "ImageMagick Wavelet Denoise",
+            "ImageMagick White Balance"
+        ],
+        {
+            "title_aux": "ComfyUI-MagickWand"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-MotionDiff": [
+        [
+            "EmptyMotionData",
+            "ExportSMPLTo3DSoftware",
+            "Export_SMPLMultipleSubjects_To_3DSoftware",
+            "Human4D_Img2SMPL",
+            "Humans4DLoader",
+            "MotionCLIPTextEncode",
+            "MotionDataVisualizer",
+            "MotionDiffLoader",
+            "MotionDiffSimpleSampler",
+            "RenderMultipleSubjectsSMPLMesh",
+            "RenderSMPLMesh",
+            "Render_OpenPose_From_SMPL_Mesh_Multiple_Subjects",
+            "SMPLLoader",
+            "SMPLShapeParameters",
+            "SaveSMPL",
+            "SmplifyMotionData",
+            "SpectreFaceReconLoader",
+            "SpectreImg2SMPL",
+            "mgpt_model_loader",
+            "mgpt_t2m"
+        ],
+        {
+            "title_aux": "ComfyUI MotionDiff"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-Video-Matting": [
+        [
+            "BRIAAI Matting",
+            "Robust Video Matting"
+        ],
+        {
+            "title_aux": "ComfyUI-Video-Matting"
+        }
+    ],
+    "https://github.com/Fannovel16/comfyui_controlnet_aux": [
+        [
+            "AIO_Preprocessor",
+            "AnimalPosePreprocessor",
+            "AnimeFace_SemSegPreprocessor",
+            "AnimeLineArtPreprocessor",
+            "AnyLineArtPreprocessor_aux",
+            "BAE-NormalMapPreprocessor",
+            "BinaryPreprocessor",
+            "CannyEdgePreprocessor",
+            "ColorPreprocessor",
+            "ControlNetAuxSimpleAddText",
+            "ControlNetPreprocessorSelector",
+            "DSINE-NormalMapPreprocessor",
+            "DWPreprocessor",
+            "DensePosePreprocessor",
+            "DepthAnythingPreprocessor",
+            "DepthAnythingV2Preprocessor",
+            "DiffusionEdge_Preprocessor",
+            "ExecuteAllControlNetPreprocessors",
+            "FacialPartColoringFromPoseKps",
+            "FakeScribblePreprocessor",
+            "HEDPreprocessor",
+            "HintImageEnchance",
+            "ImageGenResolutionFromImage",
+            "ImageGenResolutionFromLatent",
+            "ImageIntensityDetector",
+            "ImageLuminanceDetector",
+            "InpaintPreprocessor",
+            "LeReS-DepthMapPreprocessor",
+            "LineArtPreprocessor",
+            "LineartStandardPreprocessor",
+            "M-LSDPreprocessor",
+            "Manga2Anime_LineArt_Preprocessor",
+            "MaskOptFlow",
+            "MediaPipe-FaceMeshPreprocessor",
+            "MeshGraphormer+ImpactDetector-DepthMapPreprocessor",
+            "MeshGraphormer-DepthMapPreprocessor",
+            "Metric3D-DepthMapPreprocessor",
+            "Metric3D-NormalMapPreprocessor",
+            "Metric_DepthAnythingV2Preprocessor",
+            "MiDaS-DepthMapPreprocessor",
+            "MiDaS-NormalMapPreprocessor",
+            "OneFormer-ADE20K-SemSegPreprocessor",
+            "OneFormer-COCO-SemSegPreprocessor",
+            "OpenposePreprocessor",
+            "PiDiNetPreprocessor",
+            "PixelPerfectResolution",
+            "RenderAnimalKps",
+            "RenderPeopleKps",
+            "SAMPreprocessor",
+            "SavePoseKpsAsJsonFile",
+            "ScribblePreprocessor",
+            "Scribble_PiDiNet_Preprocessor",
+            "Scribble_XDoG_Preprocessor",
+            "SemSegPreprocessor",
+            "ShufflePreprocessor",
+            "TEEDPreprocessor",
+            "TTPlanet_TileGF_Preprocessor",
+            "TTPlanet_TileSimple_Preprocessor",
+            "TilePreprocessor",
+            "UniFormer-SemSegPreprocessor",
+            "Unimatch_OptFlowPreprocessor",
+            "UpperBodyTrackingFromPoseKps",
+            "Zoe-DepthMapPreprocessor",
+            "Zoe_DepthAnythingPreprocessor"
+        ],
+        {
+            "author": "tstandley",
+            "preemptions": [
+                "AIO_Preprocessor",
+                "AnimalPosePreprocessor",
+                "AnimeFace_SemSegPreprocessor",
+                "AnimeLineArtPreprocessor",
+                "BAE-NormalMapPreprocessor",
+                "BinaryPreprocessor",
+                "CannyEdgePreprocessor",
+                "ColorPreprocessor",
+                "DSINE-NormalMapPreprocessor",
+                "DWPreprocessor",
+                "DensePosePreprocessor",
+                "DepthAnythingPreprocessor",
+                "DiffusionEdge_Preprocessor",
+                "FacialPartColoringFromPoseKps",
+                "FakeScribblePreprocessor",
+                "HEDPreprocessor",
+                "HintImageEnchance",
+                "ImageGenResolutionFromImage",
+                "ImageGenResolutionFromLatent",
+                "ImageIntensityDetector",
+                "ImageLuminanceDetector",
+                "InpaintPreprocessor",
+                "LeReS-DepthMapPreprocessor",
+                "LineArtPreprocessor",
+                "LineartStandardPreprocessor",
+                "M-LSDPreprocessor",
+                "Manga2Anime_LineArt_Preprocessor",
+                "MaskOptFlow",
+                "MediaPipe-FaceMeshPreprocessor",
+                "MeshGraphormer-DepthMapPreprocessor",
+                "MiDaS-DepthMapPreprocessor",
+                "MiDaS-NormalMapPreprocessor",
+                "OneFormer-ADE20K-SemSegPreprocessor",
+                "OneFormer-COCO-SemSegPreprocessor",
+                "OpenposePreprocessor",
+                "PiDiNetPreprocessor",
+                "PixelPerfectResolution",
+                "SAMPreprocessor",
+                "SavePoseKpsAsJsonFile",
+                "ScribblePreprocessor",
+                "Scribble_XDoG_Preprocessor",
+                "SemSegPreprocessor",
+                "ShufflePreprocessor",
+                "TEEDPreprocessor",
+                "TilePreprocessor",
+                "UniFormer-SemSegPreprocessor",
+                "Unimatch_OptFlowPreprocessor",
+                "Zoe-DepthMapPreprocessor",
+                "Zoe_DepthAnythingPreprocessor"
+            ],
+            "title_aux": "ComfyUI's ControlNet Auxiliary Preprocessors"
+        }
+    ],
+    "https://github.com/Fantaxico/ComfyUI-GCP-Storage": [
+        [
+            "GCPStorageNode"
+        ],
+        {
+            "title_aux": "ComfyUI-GCP-Storage"
+        }
+    ],
+    "https://github.com/Feidorian/feidorian-ComfyNodes": [
+        [],
+        {
+            "nodename_pattern": "^Feidorian_",
+            "title_aux": "feidorian-ComfyNodes"
+        }
+    ],
+    "https://github.com/Fictiverse/ComfyUI_Fictiverse": [
+        [
+            "Add Noise to Image with Mask",
+            "Color correction",
+            "Displace Image with Depth",
+            "Displace Images with Mask",
+            "Zoom Image with Depth"
+        ],
+        {
+            "title_aux": "ComfyUI Fictiverse Nodes"
+        }
+    ],
+    "https://github.com/Fihade/IC-Light-ComfyUI-Node": [
+        [
+            "LoadICLightUnetDiffusers",
+            "diffusers_model_loader",
+            "iclight_diffusers_sampler"
+        ],
+        {
+            "title_aux": "IC-Light-ComfyUI-Node"
+        }
+    ],
+    "https://github.com/FizzleDorf/ComfyUI-AIT": [
+        [
+            "AIT_Unet_Loader",
+            "AIT_VAE_Encode_Loader"
+        ],
+        {
+            "title_aux": "ComfyUI-AIT"
+        }
+    ],
+    "https://github.com/FizzleDorf/ComfyUI_FizzNodes": [
+        [
+            "AbsCosWave",
+            "AbsSinWave",
+            "BatchGLIGENSchedule",
+            "BatchPromptSchedule",
+            "BatchPromptScheduleEncodeSDXL",
+            "BatchPromptScheduleLatentInput",
+            "BatchPromptScheduleNodeFlowEnd",
+            "BatchPromptScheduleSDXLLatentInput",
+            "BatchStringSchedule",
+            "BatchValueSchedule",
+            "BatchValueScheduleLatentInput",
+            "CalculateFrameOffset",
+            "ConcatStringSingle",
+            "CosWave",
+            "FizzFrame",
+            "FizzFrameConcatenate",
+            "ImagesFromBatchSchedule",
+            "Init FizzFrame",
+            "InvCosWave",
+            "InvSinWave",
+            "Lerp",
+            "PromptSchedule",
+            "PromptScheduleEncodeSDXL",
+            "PromptScheduleNodeFlow",
+            "PromptScheduleNodeFlowEnd",
+            "SawtoothWave",
+            "SinWave",
+            "SquareWave",
+            "StringConcatenate",
+            "StringSchedule",
+            "TriangleWave",
+            "ValueSchedule",
+            "convertKeyframeKeysToBatchKeys"
+        ],
+        {
+            "title_aux": "FizzNodes"
+        }
+    ],
+    "https://github.com/FlyingFireCo/tiled_ksampler": [
+        [
+            "Asymmetric Tiled KSampler",
+            "Circular VAEDecode",
+            "Tiled KSampler"
+        ],
+        {
+            "title_aux": "tiled_ksampler"
+        }
+    ],
+    "https://github.com/ForeignGods/ComfyUI-Mana-Nodes": [
+        [
+            "Canvas Properties",
+            "Combine Video",
+            "Font Properties",
+            "Generate Audio",
+            "Preset Color Animations",
+            "Save/Preview Text",
+            "Scheduled Values",
+            "Speech Recognition",
+            "Split Video",
+            "Text to Image Generator"
+        ],
+        {
+            "title_aux": "ComfyUI-Mana-Nodes"
+        }
+    ],
+    "https://github.com/Franck-Demongin/NX_HuggingFace_Flux": [
+        [
+            "HFFlux"
+        ],
+        {
+            "title_aux": "NX_HuggingFace_Flux"
+        }
+    ],
+    "https://github.com/Franck-Demongin/NX_PromptStyler": [
+        [
+            "NX_PromptStyler"
+        ],
+        {
+            "title_aux": "NX_PromptStyler"
+        }
+    ],
+    "https://github.com/Franck-Demongin/NX_Translator": [
+        [
+            "Nx_Translator"
+        ],
+        {
+            "title_aux": "NX_Translator"
+        }
+    ],
+    "https://github.com/FuouM/ComfyUI-EbSynth": [
+        [
+            "ES_Guides7",
+            "ES_Translate",
+            "ES_VideoTransfer",
+            "ES_VideoTransferExtra"
+        ],
+        {
+            "author": "Fuou Marinas",
+            "description": "Run EbSynth in ComfyUI.",
+            "nickname": "EbSynth",
+            "title": "ComfyUI-EbSynth",
+            "title_aux": "ComfyUI-EbSynth"
+        }
+    ],
+    "https://github.com/FuouM/ComfyUI-FirstOrderMM": [
+        [
+            "Articulate_Runner",
+            "FOMM_Partswap",
+            "FOMM_Runner",
+            "FOMM_Seg10Chooser",
+            "FOMM_Seg15Chooser",
+            "FOMM_Seg5Chooser",
+            "FSRT_Runner",
+            "MRFA_Runner",
+            "Spline_Runner"
+        ],
+        {
+            "author": "Fuou Marinas",
+            "description": "ComfyUI-native nodes to run First Order Motion Model for Image Animation and its non-diffusion-based successors.",
+            "nickname": "FOMM",
+            "title": "ComfyUI-FirstOrderMM",
+            "title_aux": "ComfyUI-FirstOrderMM"
+        }
+    ],
+    "https://github.com/FuouM/ComfyUI-StyleTransferPlus": [
+        [
+            "AESFA",
+            "AesFAStyleBlend",
+            "AesPA",
+            "CAST",
+            "CoralColorTransfer",
+            "EFDM",
+            "MicroAST",
+            "NeuralNeighbor",
+            "TSSAT",
+            "UniST",
+            "UniST_Video"
+        ],
+        {
+            "author": "ZJU",
+            "description": "A collection of style transfer nodes.",
+            "nickname": "StyleTransferPlus",
+            "title": "ComfyUI-StyleTransferPlus",
+            "title_aux": "ComfyUI-StyleTransferPlus"
+        }
+    ],
+    "https://github.com/FuouM/FM_nodes": [
+        [
+            "CoLIE_LowLight_Enhance",
+            "ConvIR_DeHaze",
+            "ConvIR_DeRain",
+            "ConvIR_DeSnow",
+            "ConvIR_DefocusDeblur",
+            "ConvIR_MotionDeBlur",
+            "ProPIH_Harmonizer",
+            "RealViFormerSR",
+            "StabStitch",
+            "StabStitch_Crop_Resize",
+            "StabStitch_Stabilize",
+            "WFEN"
+        ],
+        {
+            "author": "Fuou Marinas",
+            "description": "A collection of nodes.",
+            "nickname": "FM_nodes",
+            "title": "FM Nodes",
+            "title_aux": "FM_nodes"
+        }
+    ],
+    "https://github.com/G-370/ComfyUI-SD3-Powerlab": [
+        [
+            "G370SD3PowerLab_AttentionToImage",
+            "G370SD3PowerLab_ImageIntoAttention",
+            "G370SD3PowerLab_ImageIntoLayer",
+            "G370SD3PowerLab_LayerToImage",
+            "G370SD3PowerLab_RenderAttention"
+        ],
+        {
+            "title_aux": "ComfyUI-SD3-Powerlab"
+        }
+    ],
+    "https://github.com/GMapeSplat/ComfyUI_ezXY": [
+        [
+            "ConcatenateString",
+            "ItemFromDropdown",
+            "IterationDriver",
+            "JoinImages",
+            "LineToConsole",
+            "NumberFromList",
+            "NumbersToList",
+            "PlotImages",
+            "StringFromList",
+            "StringToLabel",
+            "StringsToList",
+            "ezMath",
+            "ezXY_AssemblePlot",
+            "ezXY_Driver"
+        ],
+        {
+            "title_aux": "ezXY scripts and nodes"
+        }
+    ],
+    "https://github.com/GTSuya-Studio/ComfyUI-Gtsuya-Nodes": [
+        [
+            "Danbooru (ID)",
+            "Danbooru (Random)",
+            "Random File From Path",
+            "Replace Strings",
+            "Simple Wildcards",
+            "Simple Wildcards (Dir.)",
+            "Wildcards Nodes"
+        ],
+        {
+            "title_aux": "ComfyUI-GTSuya-Nodes"
+        }
+    ],
+    "https://github.com/GavChap/ComfyUI-SD3LatentSelectRes": [
+        [
+            "SD3LatentSelectRes"
+        ],
+        {
+            "title_aux": "ComfyUI-SD3LatentSelectRes"
+        }
+    ],
+    "https://github.com/GeekyGhost/ComfyUI-GeekyRemB": [
+        [
+            "GeekyRemB"
+        ],
+        {
+            "title_aux": "ComfyUI-GeekyRemB"
+        }
+    ],
+    "https://github.com/GentlemanHu/ComfyUI-SunoAI": [
+        [
+            "GentlemanHu_SunoAI",
+            "GentlemanHu_SunoAI_NotSafe"
+        ],
+        {
+            "title_aux": "ComfyUI Suno API"
+        }
+    ],
+    "https://github.com/Goktug/comfyui-saveimage-plus": [
+        [
+            "SaveImagePlus"
+        ],
+        {
+            "title_aux": "Save Image Plus for ComfyUI"
+        }
+    ],
+    "https://github.com/Gourieff/comfyui-reactor-node": [
+        [
+            "ImageRGBA2RGB",
+            "ReActorBuildFaceModel",
+            "ReActorFaceBoost",
+            "ReActorFaceSwap",
+            "ReActorFaceSwapOpt",
+            "ReActorImageDublicator",
+            "ReActorLoadFaceModel",
+            "ReActorMakeFaceModelBatch",
+            "ReActorMaskHelper",
+            "ReActorOptions",
+            "ReActorRestoreFace",
+            "ReActorSaveFaceModel"
+        ],
+        {
+            "title_aux": "ReActor Node for ComfyUI"
+        }
+    ],
+    "https://github.com/GraftingRayman/ComfyUI_GraftingRayman": [
+        [
+            "GR Background Remover REMBG",
+            "GR Checkered Board",
+            "GR Counter",
+            "GR Flip Tile Random Inverted",
+            "GR Flip Tile Random Red Ring",
+            "GR Image Details Displayer",
+            "GR Image Details Saver",
+            "GR Image Paste",
+            "GR Image Paste With Mask",
+            "GR Image Resize",
+            "GR Image Resize Methods",
+            "GR Image Size",
+            "GR Image/Depth Mask",
+            "GR Mask Create",
+            "GR Mask Create Random",
+            "GR Mask Create Random Multi",
+            "GR Mask Resize",
+            "GR Multi Mask Create",
+            "GR Onomatopoeia",
+            "GR Prompt HUB",
+            "GR Prompt Selector",
+            "GR Prompt Selector Multi",
+            "GR Scroller",
+            "GR Stack Image",
+            "GR Text Overlay",
+            "GR Tile and Border Image",
+            "GR Tile and Border Image Random Flip"
+        ],
+        {
+            "title_aux": "GraftingRayman"
+        }
+    ],
+    "https://github.com/GreenLandisaLie/AuraSR-ComfyUI": [
+        [
+            "AuraSR.AuraSRUpscaler"
+        ],
+        {
+            "title_aux": "AuraSR-ComfyUI"
+        }
+    ],
+    "https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio": [
+        [
+            "StableCascadeLatentRatio"
+        ],
+        {
+            "title_aux": "ComfyUI_StableCascadeLatentRatio"
+        }
+    ],
+    "https://github.com/HAL41/ComfyUI-aichemy-nodes": [
+        [
+            "aichemyYOLOv8Segmentation"
+        ],
+        {
+            "title_aux": "ComfyUI aichemy nodes"
+        }
+    ],
+    "https://github.com/HECer/ComfyUI-FilePathCreator": [
+        [
+            "FilePathCreator"
+        ],
+        {
+            "title_aux": "ComfyUI-FilePathCreator"
+        }
+    ],
+    "https://github.com/Hangover3832/ComfyUI-Hangover-Moondream": [
+        [
+            "Moondream Interrogator"
+        ],
+        {
+            "author": "AlexL",
+            "description": "An implementation of the moondream visual LLM",
+            "nickname": "Hangover-Moondream",
+            "title": "ComfyUI-Hangover-Moondream",
+            "title_aux": "ComfyUI-Hangover-Moondream"
+        }
+    ],
+    "https://github.com/Hangover3832/ComfyUI-Hangover-Nodes": [
+        [
+            "Image Scale Bounding Box",
+            "MS kosmos-2 Interrogator",
+            "Make Inpaint Model",
+            "Save Image w/o Metadata"
+        ],
+        {
+            "author": "AlexL",
+            "description": "Display, save or not save image, with or without extra metadata.",
+            "nickname": "Hangover-Save_Image_Extra_Metadata",
+            "title": "ComfyUI-Hangover-Save_Image",
+            "title_aux": "ComfyUI-Hangover-Nodes"
+        }
+    ],
+    "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything": [
+        [
+            "Recognize Anything Model (RAM)"
+        ],
+        {
+            "author": "AlexL",
+            "description": "An implementation of the Recognize Anything Model (RAM++) for ComfyUI. The counterpart of Segment Anything Model (SAM).",
+            "nickname": "Hangover-Recognize_Anything",
+            "title": "ComfyUI-Hangover-Recognize_Anything",
+            "title_aux": "Recognize Anything Model (RAM) for ComfyUI"
+        }
+    ],
+    "https://github.com/Haoming02/comfyui-diffusion-cg": [
+        [
+            "Normalization",
+            "Recenter",
+            "Recenter XL"
+        ],
+        {
+            "title_aux": "Diffusion CG"
+        }
+    ],
+    "https://github.com/Haoming02/comfyui-floodgate": [
+        [
+            "FloodGate"
+        ],
+        {
+            "title_aux": "Floodgate"
+        }
+    ],
+    "https://github.com/Haoming02/comfyui-resharpen": [
+        [
+            "Resharpen"
+        ],
+        {
+            "title_aux": "ComfyUI ReSharpen"
+        }
+    ],
+    "https://github.com/HaydenReeve/ComfyUI-Better-Strings": [
+        [
+            "BetterString"
+        ],
+        {
+            "title_aux": "ComfyUI Better Strings"
+        }
+    ],
+    "https://github.com/HeadshotPro/ComfyUI-HeadshotPro": [
+        [
+            "[HSP] Download Dreambooth Checkpoint",
+            "[HSP] Download Flux Lora",
+            "[HSP] Get Random Value From List",
+            "[HSP] Load Canny Pose Face",
+            "[HSP] Transparent to White Background"
+        ],
+        {
+            "title_aux": "ComfyUI-HeadshotPro"
+        }
+    ],
+    "https://github.com/HebelHuber/comfyui-enhanced-save-node": [
+        [
+            "EnhancedSaveNode"
+        ],
+        {
+            "title_aux": "comfyui-enhanced-save-node"
+        }
+    ],
+    "https://github.com/Hellrunner2k/ComfyUI-HellrunnersMagicalNodes": [
+        [
+            "MagicalSaveNode",
+            "ThermalLatenator"
+        ],
+        {
+            "title_aux": "Hellrunner's Magical Nodes"
+        }
+    ],
+    "https://github.com/Hiero207/ComfyUI-Hiero-Nodes": [
+        [
+            "Load Prompt Travel file",
+            "Post to Discord w/ Webhook",
+            "Save Prompt Travel file"
+        ],
+        {
+            "author": "Hiero",
+            "description": "Just some nodes that I wanted/needed, so I made them.",
+            "nickname": "HNodes",
+            "title": "Hiero-Nodes",
+            "title_aux": "Hiero-Nodes"
+        }
+    ],
+    "https://github.com/IDGallagher/ComfyUI-IG-Nodes": [
+        [
+            "IG Analyze SSIM",
+            "IG Cross Fade Images",
+            "IG Explorer",
+            "IG Float",
+            "IG Float List",
+            "IG Folder",
+            "IG Int",
+            "IG Interpolate",
+            "IG Load Image",
+            "IG Load Images",
+            "IG MotionPredictor",
+            "IG Multiply",
+            "IG Path Join",
+            "IG String",
+            "IG String List",
+            "IG ZFill"
+        ],
+        {
+            "author": "IDGallagher",
+            "description": "Custom nodes to aid in the exploration of Latent Space",
+            "nickname": "IG Interpolation Nodes",
+            "title": "IG Interpolation Nodes",
+            "title_aux": "IG Interpolation Nodes"
+        }
+    ],
+    "https://github.com/ITurchenko/ComfyUI-SizeFromArray": [
+        [
+            "SizeFromArray"
+        ],
+        {
+            "title_aux": "ComfyUI-SizeFromArray"
+        }
+    ],
+    "https://github.com/ImmortalPie/ComfyUI-PonySwitch/raw/main/PonySwitch.py": [
+        [
+            "PonySwitch"
+        ],
+        {
+            "title_aux": "PonySwitch Node"
+        }
+    ],
+    "https://github.com/Intersection98/ComfyUI_MX_post_processing-nodes": [
+        [
+            "MX_AlphaBlend",
+            "MX_Blend",
+            "MX_Blur",
+            "MX_Canny",
+            "MX_ChromaticAberration",
+            "MX_ColorCorrect",
+            "MX_ColorMatch",
+            "MX_ColorTint",
+            "MX_Glow",
+            "MX_HSVThresholdMask",
+            "MX_KuwaharaBlur(Cartoon)",
+            "MX_LUT",
+            "MX_LensBokeh",
+            "MX_LensOpticAxis",
+            "MX_LensZoomBurst",
+            "MX_Mosaic",
+            "MX_Noise",
+            "MX_Posterize",
+            "MX_SineWave",
+            "MX_Solarize",
+            "MX_Vignette"
+        ],
+        {
+            "title_aux": "ComfyUI-MX-post-processing-nodes"
+        }
+    ],
+    "https://github.com/Inzaniak/comfyui-ranbooru": [
+        [
+            "LockSeed",
+            "PromptBackground",
+            "PromptLimit",
+            "PromptMix",
+            "PromptRandomWeight",
+            "PromptRemove",
+            "Ranbooru",
+            "RanbooruURL",
+            "RandomPicturePath",
+            "TimestampFileName"
+        ],
+        {
+            "title_aux": "Ranbooru for ComfyUI"
+        }
+    ],
+    "https://github.com/IsItDanOrAi/ComfyUI-Stereopsis": [
+        [
+            "Dan_FrameDelay",
+            "Dan_Stereopsis"
+        ],
+        {
+            "title_aux": "ComfyUI-Stereopsis"
+        }
+    ],
+    "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants": [
+        [
+            "LineArt_Assistant",
+            "LineArt_Assistant_2",
+            "Sketch_Assistant",
+            "Sketch_Assistant_grayScale"
+        ],
+        {
+            "title_aux": "ComfyUI-Img2DrawingAssistants"
+        }
+    ],
+    "https://github.com/Isi-dev/ComfyUI-UniAnimate-W": [
+        [
+            "Gen_align_pose",
+            "UniAnimateImage"
+        ],
+        {
+            "title_aux": "UniAnimate Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4": [
+        [
+            "DisplayText",
+            "LoadVideo",
+            "MiniCPM_VQA",
+            "MiniCPM_VQA_Polished",
+            "MultipleImagesInput",
+            "PreviewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI_MiniCPM-V-2_6-int4"
+        }
+    ],
+    "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-Audio-7B-Instruct-Int4": [
+        [
+            "AudioLoader",
+            "AudioPreviewer",
+            "Qwen2_AQA"
+        ],
+        {
+            "title_aux": "ComfyUI_Qwen2-Audio-7B-Instruct-Int4"
+        }
+    ],
+    "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct": [
+        [
+            "ImageLoader",
+            "MultiplePathsInput",
+            "Qwen2_VQA"
+        ],
+        {
+            "title_aux": "ComfyUI_Qwen2-VL-Instruct"
+        }
+    ],
+    "https://github.com/JPS-GER/ComfyUI_JPS-Nodes": [
+        [
+            "CLIPTextEncode SDXL Plus (JPS)",
+            "Conditioning Switch (JPS)",
+            "ControlNet Switch (JPS)",
+            "Crop Image Pipe (JPS)",
+            "Crop Image Settings (JPS)",
+            "Crop Image Square (JPS)",
+            "Crop Image TargetSize (JPS)",
+            "CtrlNet CannyEdge Pipe (JPS)",
+            "CtrlNet CannyEdge Settings (JPS)",
+            "CtrlNet MiDaS Pipe (JPS)",
+            "CtrlNet MiDaS Settings (JPS)",
+            "CtrlNet OpenPose Pipe (JPS)",
+            "CtrlNet OpenPose Settings (JPS)",
+            "CtrlNet ZoeDepth Pipe (JPS)",
+            "CtrlNet ZoeDepth Settings (JPS)",
+            "Disable Enable Switch (JPS)",
+            "Enable Disable Switch (JPS)",
+            "Generation TXT IMG Settings (JPS)",
+            "Get Date Time String (JPS)",
+            "Get Image Size (JPS)",
+            "IP Adapter Settings (JPS)",
+            "IP Adapter Settings Pipe (JPS)",
+            "IP Adapter Tiled Settings (JPS)",
+            "IP Adapter Tiled Settings Pipe (JPS)",
+            "IPA Switch (JPS)",
+            "Image Prepare Pipe (JPS)",
+            "Image Prepare Settings (JPS)",
+            "Image Switch (JPS)",
+            "ImageToImage Pipe (JPS)",
+            "ImageToImage Settings (JPS)",
+            "Images Masks MultiPipe (JPS)",
+            "InstantID Mask Prepare Pipe (JPS)",
+            "InstantID Mask Prepare Settings (JPS)",
+            "InstantID Pipe (JPS)",
+            "InstantID Pose Prepare Pipe (JPS)",
+            "InstantID Pose Prepare Settings (JPS)",
+            "InstantID Settings (JPS)",
+            "InstantID Source Prepare Pipe (JPS)",
+            "InstantID Source Prepare Settings (JPS)",
+            "Integer Switch (JPS)",
+            "Largest Int (JPS)",
+            "Latent Switch (JPS)",
+            "Lora Loader (JPS)",
+            "Mask Switch (JPS)",
+            "Model Switch (JPS)",
+            "Multiply Float Float (JPS)",
+            "Multiply Int Float (JPS)",
+            "Multiply Int Int (JPS)",
+            "Prepare Image (JPS)",
+            "Prepare Image Plus (JPS)",
+            "Prepare Image Tiled IPA (JPS)",
+            "Resolution Multiply (JPS)",
+            "Revision Settings (JPS)",
+            "Revision Settings Pipe (JPS)",
+            "SDXL Basic Settings (JPS)",
+            "SDXL Basic Settings Pipe (JPS)",
+            "SDXL Fundamentals MultiPipe (JPS)",
+            "SDXL Prompt Handling (JPS)",
+            "SDXL Prompt Handling Plus (JPS)",
+            "SDXL Prompt Styler (JPS)",
+            "SDXL Recommended Resolution Calc (JPS)",
+            "SDXL Resolutions (JPS)",
+            "SDXL Settings (JPS)",
+            "SDXL Settings Pipe (JPS)",
+            "Sampler Scheduler Settings (JPS)",
+            "Save Images Plus (JPS)",
+            "Substract Int Int (JPS)",
+            "Text Concatenate (JPS)",
+            "Text Prompt (JPS)",
+            "Text Prompt Combo (JPS)",
+            "Time Seed (JPS)",
+            "VAE Switch (JPS)"
+        ],
+        {
+            "author": "JPS",
+            "description": "Various nodes to handle SDXL Resolutions, SDXL Basic Settings, IP Adapter Settings, Revision Settings, SDXL Prompt Styler, Crop Image to Square, Crop Image to Target Size, Get Date-Time String, Resolution Multiply, Largest Integer, 5-to-1 Switches for Integer, Images, Latents, Conditioning, Model, VAE, ControlNet",
+            "nickname": "JPS Custom Nodes",
+            "title": "JPS Custom Nodes for ComfyUI",
+            "title_aux": "JPS Custom Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/JPrevots/ComfyUI-PhyCV": [
+        [
+            "PAGE",
+            "PST",
+            "VEVID"
+        ],
+        {
+            "title_aux": "ComfyUI-PhyCV"
+        }
+    ],
+    "https://github.com/JackEllie/ComfyUI_AI_Assistant": [
+        [
+            "apply_lighting_effects",
+            "clean_prompt_tags",
+            "noline_process",
+            "prompt_blacklist",
+            "prompt_sorting",
+            "resize_image_sdxl_ratio"
+        ],
+        {
+            "title_aux": "ComfyUI-AI-Assistant"
+        }
+    ],
+    "https://github.com/Jannchie/ComfyUI-J": [
+        [
+            "DiffusersCompelPromptEmbedding",
+            "DiffusersControlnetLoader",
+            "DiffusersControlnetUnit",
+            "DiffusersControlnetUnitStack",
+            "DiffusersDecoder",
+            "DiffusersGenerator",
+            "DiffusersPipeline",
+            "DiffusersPrepareLatents",
+            "DiffusersTextureInversionLoader",
+            "DiffusersXLPipeline",
+            "GetAverageColorFromImage",
+            "GetFilledColorImage"
+        ],
+        {
+            "title_aux": "ComfyUI-J"
+        }
+    ],
+    "https://github.com/JaredTherriault/ComfyUI-JNodes": [
+        [
+            "JNodes_AddOrSetMetaDataKey",
+            "JNodes_AnyToString",
+            "JNodes_AppendReversedFrames",
+            "JNodes_BooleanSelectorWithString",
+            "JNodes_BreakMediaInfo",
+            "JNodes_CheckpointSelectorWithString",
+            "JNodes_ConditioningInOut",
+            "JNodes_CreateStereoscopicImageFromDepth",
+            "JNodes_FloatLiteral",
+            "JNodes_GetCleanFilename",
+            "JNodes_GetComfyDirectory",
+            "JNodes_GetLeafDirectory",
+            "JNodes_GetOutputDirectory",
+            "JNodes_GetParameterFromList",
+            "JNodes_GetParameterGlobal",
+            "JNodes_GetTempDirectory",
+            "JNodes_ImageFormatSelector",
+            "JNodes_ImageSizeSelector",
+            "JNodes_IntLiteral",
+            "JNodes_LoadVideo",
+            "JNodes_LoadVisualMediaFromPath",
+            "JNodes_LoadVisualMediaFromPath_Batch",
+            "JNodes_LoraExtractor",
+            "JNodes_MediaInfoToString",
+            "JNodes_ModelInOut",
+            "JNodes_OutVideoInfo",
+            "JNodes_ParseDynamicPrompts",
+            "JNodes_ParseParametersToGlobalList",
+            "JNodes_ParseWildcards",
+            "JNodes_PromptBuilderSingleSubject",
+            "JNodes_RemoveCommentedText",
+            "JNodes_RemoveMetaDataKey",
+            "JNodes_RemoveParseableDataForInference",
+            "JNodes_SamplerSelectorWithString",
+            "JNodes_SaveImageWithOutput",
+            "JNodes_SaveVideo",
+            "JNodes_SchedulerSelectorWithString",
+            "JNodes_SearchAndReplace",
+            "JNodes_SearchAndReplaceFromFile",
+            "JNodes_SearchAndReplaceFromList",
+            "JNodes_SelectRandomFileFromDirectory",
+            "JNodes_SetNegativePromptInMetaData",
+            "JNodes_SetPositivePromptInMetaData",
+            "JNodes_SplitAndJoin",
+            "JNodes_StringLiteral",
+            "JNodes_SubdirectorySelector",
+            "JNodes_SyncedStringLiteral",
+            "JNodes_TokenCounter",
+            "JNodes_TrimAndStrip",
+            "JNodes_UploadVideo",
+            "JNodes_UploadVisualMedia",
+            "JNodes_VaeSelectorWithString"
+        ],
+        {
+            "title_aux": "ComfyUI-JNodes"
+        }
+    ],
+    "https://github.com/JayLyu/ComfyUI_BaiKong_Node": [
+        [
+            "BK_ColorContrast",
+            "BK_ColorLimit",
+            "BK_ColorSelector",
+            "BK_GradientImage",
+            "BK_ImageFilterByAspectRatio",
+            "BK_Img2Color"
+        ],
+        {
+            "title_aux": "ComfyUI_BaiKong_Node"
+        }
+    ],
+    "https://github.com/JcandZero/ComfyUI_GLM4Node": [
+        [
+            "GLM3_turbo_CHAT",
+            "GLM4_CHAT",
+            "GLM4_Vsion_IMGURL"
+        ],
+        {
+            "title_aux": "ComfyUI_GLM4Node"
+        }
+    ],
+    "https://github.com/Jcd1230/rembg-comfyui-node": [
+        [
+            "Image Remove Background (rembg)"
+        ],
+        {
+            "title_aux": "Rembg Background Removal Node for ComfyUI"
+        }
+    ],
+    "https://github.com/JerryOrbachJr/ComfyUI-RandomSize": [
+        [
+            "JOJR_RandomSize"
+        ],
+        {
+            "author": "JerryOrbachJr",
+            "description": "A ComfyUI custom node that randomly selects a height and width pair from a list in a config file",
+            "nickname": "Random Size",
+            "title": "Random Size",
+            "title_aux": "Random Size"
+        }
+    ],
+    "https://github.com/JettHu/ComfyUI-TCD": [
+        [
+            "TCDModelSamplingDiscrete"
+        ],
+        {
+            "title_aux": "ComfyUI-TCD"
+        }
+    ],
+    "https://github.com/JettHu/ComfyUI_TGate": [
+        [
+            "TGateApply",
+            "TGateApplyAdvanced",
+            "TGateApplySimple"
+        ],
+        {
+            "title_aux": "ComfyUI_TGate"
+        }
+    ],
+    "https://github.com/Jordach/comfy-plasma": [
+        [
+            "JDC_AutoContrast",
+            "JDC_BlendImages",
+            "JDC_BrownNoise",
+            "JDC_Contrast",
+            "JDC_EqualizeGrey",
+            "JDC_GaussianBlur",
+            "JDC_GreyNoise",
+            "JDC_Greyscale",
+            "JDC_ImageLoader",
+            "JDC_ImageLoaderMeta",
+            "JDC_PinkNoise",
+            "JDC_Plasma",
+            "JDC_PlasmaSampler",
+            "JDC_PowerImage",
+            "JDC_RandNoise",
+            "JDC_ResizeFactor"
+        ],
+        {
+            "title_aux": "comfy-plasma"
+        }
+    ],
+    "https://github.com/JosefKuchar/ComfyUI-AdvancedTiling": [
+        [
+            "AdvancedTiling",
+            "AdvancedTilingSettings",
+            "AdvancedTilingVAEDecode"
+        ],
+        {
+            "title_aux": "ComfyUI-AdvancedTiling"
+        }
+    ],
+    "https://github.com/Julian-adv/WildDivide": [
+        [
+            "Attention couple",
+            "Comfy Divide",
+            "WildcardEncode"
+        ],
+        {
+            "author": "Julian Adventurer.",
+            "description": "This node is used to encode a wildcard string.",
+            "nickname": "WildDivide",
+            "title": "Wild Divide",
+            "title_aux": "Wild Divide"
+        }
+    ],
+    "https://github.com/Kangkang625/ComfyUI-paint-by-example": [
+        [
+            "PaintbyExamplePipeLoader",
+            "PaintbyExampleSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-Paint-by-Example"
+        }
+    ],
+    "https://github.com/KewkLW/ComfyUI-kewky_tools": [
+        [
+            "CLIPInterrogator",
+            "FormattedPromptNode",
+            "ImageBatcher",
+            "LoadImagePlus",
+            "LoadVideoPlus",
+            "TensorDebugPlus",
+            "TextAppendNode",
+            "TextSearchNode",
+            "VRAM_Debug_Plus"
+        ],
+        {
+            "title_aux": "ComfyUI-kewky_tools"
+        }
+    ],
+    "https://github.com/KoreTeknology/ComfyUI-Universal-Styler": [
+        [
+            "Load Nai Styles Complex CSV",
+            "ShowText|pysssss",
+            "Universal_Styler_Node",
+            "concat"
+        ],
+        {
+            "title_aux": "ComfyUI Universal Styler"
+        }
+    ],
+    "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet": [
+        [
+            "ACN_AdvancedControlNetApply",
+            "ACN_AdvancedControlNetApplySingle",
+            "ACN_ControlNet++InputNode",
+            "ACN_ControlNet++LoaderAdvanced",
+            "ACN_ControlNet++LoaderSingle",
+            "ACN_ControlNetLoaderWithLoraAdvanced",
+            "ACN_CustomControlNetWeightsFlux",
+            "ACN_CustomControlNetWeightsSD15",
+            "ACN_CustomT2IAdapterWeights",
+            "ACN_DefaultUniversalWeights",
+            "ACN_ReferenceControlNet",
+            "ACN_ReferenceControlNetFinetune",
+            "ACN_ReferencePreprocessor",
+            "ACN_ScaledSoftControlNetWeights",
+            "ACN_SoftControlNetWeightsSD15",
+            "ACN_SoftT2IAdapterWeights",
+            "ACN_SparseCtrlIndexMethodNode",
+            "ACN_SparseCtrlLoaderAdvanced",
+            "ACN_SparseCtrlMergedLoaderAdvanced",
+            "ACN_SparseCtrlRGBPreprocessor",
+            "ACN_SparseCtrlSpreadMethodNode",
+            "ACN_SparseCtrlWeightExtras",
+            "ACN_TimestepKeyframeFromStrengthList",
+            "ACN_TimestepKeyframeInterpolation",
+            "ControlNetLoaderAdvanced",
+            "CustomControlNetWeights",
+            "CustomT2IAdapterWeights",
+            "DiffControlNetLoaderAdvanced",
+            "LatentKeyframe",
+            "LatentKeyframeBatchedGroup",
+            "LatentKeyframeGroup",
+            "LatentKeyframeTiming",
+            "LoadImagesFromDirectory",
+            "ScaledSoftControlNetWeights",
+            "ScaledSoftMaskedUniversalWeights",
+            "SoftControlNetWeights",
+            "SoftT2IAdapterWeights",
+            "TimestepKeyframe"
+        ],
+        {
+            "title_aux": "ComfyUI-Advanced-ControlNet"
+        }
+    ],
+    "https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved": [
+        [
+            "ADE_AdjustPEFullStretch",
+            "ADE_AdjustPEManual",
+            "ADE_AdjustPESweetspotStretch",
+            "ADE_AdjustWeightAllAdd",
+            "ADE_AdjustWeightAllMult",
+            "ADE_AdjustWeightIndivAdd",
+            "ADE_AdjustWeightIndivAttnAdd",
+            "ADE_AdjustWeightIndivAttnMult",
+            "ADE_AdjustWeightIndivMult",
+            "ADE_AnimateDiffCombine",
+            "ADE_AnimateDiffKeyframe",
+            "ADE_AnimateDiffLoRALoader",
+            "ADE_AnimateDiffLoaderGen1",
+            "ADE_AnimateDiffLoaderV1Advanced",
+            "ADE_AnimateDiffLoaderWithContext",
+            "ADE_AnimateDiffModelSettings",
+            "ADE_AnimateDiffModelSettingsAdvancedAttnStrengths",
+            "ADE_AnimateDiffModelSettingsSimple",
+            "ADE_AnimateDiffModelSettings_Release",
+            "ADE_AnimateDiffSamplingSettings",
+            "ADE_AnimateDiffSettings",
+            "ADE_AnimateDiffUniformContextOptions",
+            "ADE_AnimateDiffUnload",
+            "ADE_ApplyAnimateDiffModel",
+            "ADE_ApplyAnimateDiffModelSimple",
+            "ADE_ApplyAnimateDiffModelWithCameraCtrl",
+            "ADE_ApplyAnimateDiffModelWithPIA",
+            "ADE_ApplyAnimateLCMI2VModel",
+            "ADE_AttachLoraHookToCLIP",
+            "ADE_AttachLoraHookToConditioning",
+            "ADE_BatchedContextOptions",
+            "ADE_CFGExtrasPAG",
+            "ADE_CFGExtrasPAGSimple",
+            "ADE_CFGExtrasRescaleCFG",
+            "ADE_CFGExtrasRescaleCFGSimple",
+            "ADE_CameraCtrlAnimateDiffKeyframe",
+            "ADE_CameraManualPoseAppend",
+            "ADE_CameraPoseAdvanced",
+            "ADE_CameraPoseBasic",
+            "ADE_CameraPoseCombo",
+            "ADE_CombineLoraHooks",
+            "ADE_CombineLoraHooksEight",
+            "ADE_CombineLoraHooksFour",
+            "ADE_ConditioningCombine",
+            "ADE_ConditioningSetMask",
+            "ADE_ConditioningSetMaskAndCombine",
+            "ADE_ConditioningSetUnmaskedAndCombine",
+            "ADE_ContextExtras_ContextRef",
+            "ADE_ContextExtras_ContextRef_Keyframe",
+            "ADE_ContextExtras_ContextRef_KeyframeFromList",
+            "ADE_ContextExtras_ContextRef_KeyframeInterpolation",
+            "ADE_ContextExtras_ContextRef_ModeFirst",
+            "ADE_ContextExtras_ContextRef_ModeIndexes",
+            "ADE_ContextExtras_ContextRef_ModeSliding",
+            "ADE_ContextExtras_ContextRef_TuneAttn",
+            "ADE_ContextExtras_ContextRef_TuneAttnAdain",
+            "ADE_ContextExtras_NaiveReuse",
+            "ADE_ContextExtras_NaiveReuse_Keyframe",
+            "ADE_ContextExtras_NaiveReuse_KeyframeFromList",
+            "ADE_ContextExtras_NaiveReuse_KeyframeInterpolation",
+            "ADE_ContextExtras_Set",
+            "ADE_CustomCFG",
+            "ADE_CustomCFGKeyframe",
+            "ADE_CustomCFGKeyframeFromList",
+            "ADE_CustomCFGKeyframeInterpolation",
+            "ADE_CustomCFGKeyframeSimple",
+            "ADE_CustomCFGSimple",
+            "ADE_EmptyLatentImageLarge",
+            "ADE_InjectI2VIntoAnimateDiffModel",
+            "ADE_InjectPIAIntoAnimateDiffModel",
+            "ADE_InputPIA_Multival",
+            "ADE_InputPIA_PaperPresets",
+            "ADE_IterationOptsDefault",
+            "ADE_IterationOptsFreeInit",
+            "ADE_LoadAnimateDiffModel",
+            "ADE_LoadAnimateDiffModelWithCameraCtrl",
+            "ADE_LoadAnimateLCMI2VModel",
+            "ADE_LoadCameraPoses",
+            "ADE_LoadCameraPosesFromPath",
+            "ADE_LoopedUniformContextOptions",
+            "ADE_LoopedUniformViewOptions",
+            "ADE_LoraHookKeyframe",
+            "ADE_LoraHookKeyframeFromStrengthList",
+            "ADE_LoraHookKeyframeInterpolation",
+            "ADE_MultivalConvertToMask",
+            "ADE_MultivalDynamic",
+            "ADE_MultivalDynamicFloatInput",
+            "ADE_MultivalDynamicFloats",
+            "ADE_MultivalScaledMask",
+            "ADE_NoiseLayerAdd",
+            "ADE_NoiseLayerAddWeighted",
+            "ADE_NoiseLayerReplace",
+            "ADE_NoisedImageInjectOptions",
+            "ADE_NoisedImageInjection",
+            "ADE_PIA_AnimateDiffKeyframe",
+            "ADE_PairedConditioningCombine",
+            "ADE_PairedConditioningSetMask",
+            "ADE_PairedConditioningSetMaskAndCombine",
+            "ADE_PairedConditioningSetUnmaskedAndCombine",
+            "ADE_PerturbedAttentionGuidanceMultival",
+            "ADE_RawSigmaSchedule",
+            "ADE_RegisterLoraHook",
+            "ADE_RegisterLoraHookModelOnly",
+            "ADE_RegisterModelAsLoraHook",
+            "ADE_RegisterModelAsLoraHookModelOnly",
+            "ADE_ReplaceCameraParameters",
+            "ADE_ReplaceOriginalPoseAspectRatio",
+            "ADE_RescaleCFGMultival",
+            "ADE_SetLoraHookKeyframe",
+            "ADE_SigmaSchedule",
+            "ADE_SigmaScheduleSplitAndCombine",
+            "ADE_SigmaScheduleToSigmas",
+            "ADE_SigmaScheduleWeightedAverage",
+            "ADE_SigmaScheduleWeightedAverageInterp",
+            "ADE_StandardStaticContextOptions",
+            "ADE_StandardStaticViewOptions",
+            "ADE_StandardUniformContextOptions",
+            "ADE_StandardUniformViewOptions",
+            "ADE_TimestepsConditioning",
+            "ADE_UpscaleAndVAEEncode",
+            "ADE_UseEvolvedSampling",
+            "ADE_ViewsOnlyContextOptions",
+            "ADE_VisualizeContextOptionsK",
+            "ADE_VisualizeContextOptionsKAdv",
+            "ADE_VisualizeContextOptionsSCustom",
+            "AnimateDiffLoaderV1",
+            "CheckpointLoaderSimpleWithNoiseSelect"
+        ],
+        {
+            "title_aux": "AnimateDiff Evolved"
+        }
+    ],
+    "https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite": [
+        [
+            "VHS_AudioToVHSAudio",
+            "VHS_BatchManager",
+            "VHS_DuplicateImages",
+            "VHS_DuplicateLatents",
+            "VHS_DuplicateMasks",
+            "VHS_GetImageCount",
+            "VHS_GetLatentCount",
+            "VHS_GetMaskCount",
+            "VHS_LoadAudio",
+            "VHS_LoadAudioUpload",
+            "VHS_LoadImages",
+            "VHS_LoadImagesPath",
+            "VHS_LoadVideo",
+            "VHS_LoadVideoPath",
+            "VHS_MergeImages",
+            "VHS_MergeLatents",
+            "VHS_MergeMasks",
+            "VHS_PruneOutputs",
+            "VHS_SelectEveryNthImage",
+            "VHS_SelectEveryNthLatent",
+            "VHS_SelectEveryNthMask",
+            "VHS_SelectFilename",
+            "VHS_SelectImages",
+            "VHS_SelectLatents",
+            "VHS_SelectMasks",
+            "VHS_SplitImages",
+            "VHS_SplitLatents",
+            "VHS_SplitMasks",
+            "VHS_Unbatch",
+            "VHS_VAEDecodeBatched",
+            "VHS_VAEEncodeBatched",
+            "VHS_VHSAudioToAudio",
+            "VHS_VideoCombine",
+            "VHS_VideoInfo",
+            "VHS_VideoInfoLoaded",
+            "VHS_VideoInfoSource"
+        ],
+        {
+            "title_aux": "ComfyUI-VideoHelperSuite"
+        }
+    ],
+    "https://github.com/Koushakur/ComfyUI-DenoiseChooser": [
+        [
+            "DenoiseChooser|Koushakur"
+        ],
+        {
+            "title_aux": "ComfyUI-DenoiseChooser"
+        }
+    ],
+    "https://github.com/KytraScript/ComfyUI_KytraWebhookHTTP": [
+        [
+            "SendToDiscordWebhook"
+        ],
+        {
+            "title_aux": "ComfyUI_KytraWebhookHTTP"
+        }
+    ],
+    "https://github.com/LEv145/images-grid-comfy-plugin": [
+        [
+            "GridAnnotation",
+            "ImageCombine",
+            "ImagesGridByColumns",
+            "ImagesGridByRows",
+            "LatentCombine"
+        ],
+        {
+            "title_aux": "ImagesGrid"
+        }
+    ],
+    "https://github.com/LarryJane491/Image-Captioning-in-ComfyUI": [
+        [
+            "LoRA Caption Load",
+            "LoRA Caption Save"
+        ],
+        {
+            "title_aux": "Image-Captioning-in-ComfyUI"
+        }
+    ],
+    "https://github.com/LarryJane491/Lora-Training-in-Comfy": [
+        [
+            "Lora Training in Comfy (Advanced)",
+            "Lora Training in ComfyUI",
+            "Tensorboard Access"
+        ],
+        {
+            "title_aux": "Lora-Training-in-Comfy"
+        }
+    ],
+    "https://github.com/Layer-norm/comfyui-lama-remover": [
+        [
+            "LamaRemover",
+            "LamaRemoverIMG"
+        ],
+        {
+            "title_aux": "Comfyui lama remover"
+        }
+    ],
+    "https://github.com/Lerc/canvas_tab": [
+        [
+            "Canvas_Tab",
+            "Send_To_Editor"
+        ],
+        {
+            "author": "Lerc",
+            "description": "This extension provides a full page image editor with mask support. There are two nodes, one to receive images from the editor and one to send images to the editor.",
+            "nickname": "Canvas Tab",
+            "title": "Canvas Tab",
+            "title_aux": "Canvas Tab"
+        }
+    ],
+    "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting": [
+        [
+            "FillImageForOutpainting"
+        ],
+        {
+            "title_aux": "ComfyUI-Fill-Image-for-Outpainting"
+        }
+    ],
+    "https://github.com/LightSketch-ai/ComfyUI-LivePortraitNode": [
+        [
+            "LightSketch Live Portrait",
+            "Preview Video"
+        ],
+        {
+            "title_aux": "ComfyUI-LivePortraitNode (Replicate API)"
+        }
+    ],
+    "https://github.com/Limitex/ComfyUI-Calculation": [
+        [
+            "CenterCalculation",
+            "CreateQRCode"
+        ],
+        {
+            "title_aux": "ComfyUI-Calculation"
+        }
+    ],
+    "https://github.com/Limitex/ComfyUI-Diffusers": [
+        [
+            "CreateIntListNode",
+            "DiffusersClipTextEncode",
+            "DiffusersModelMakeup",
+            "DiffusersPipelineLoader",
+            "DiffusersSampler",
+            "DiffusersSchedulerLoader",
+            "DiffusersVaeLoader",
+            "LcmLoraLoader",
+            "StreamDiffusionCreateStream",
+            "StreamDiffusionFastSampler",
+            "StreamDiffusionSampler",
+            "StreamDiffusionWarmup"
+        ],
+        {
+            "title_aux": "ComfyUI-Diffusers"
+        }
+    ],
+    "https://github.com/Ling-APE/ComfyUI-PixelResolutionCalculator": [
+        [
+            "LatentSizeToPixelSize",
+            "PixelResolutionCalculator"
+        ],
+        {
+            "title_aux": "ComfyUI-PixelResolutionCalculator"
+        }
+    ],
+    "https://github.com/Loewen-Hob/rembg-comfyui-node-better": [
+        [
+            "Image Remove Background (rembg)"
+        ],
+        {
+            "title_aux": "Rembg Background Removal Node for ComfyUI (Better)"
+        }
+    ],
+    "https://github.com/LonicaMewinsky/ComfyUI-MakeFrame": [
+        [
+            "BreakFrames",
+            "BreakGrid",
+            "GetKeyFrames",
+            "MakeGrid",
+            "RandomImageFromDir"
+        ],
+        {
+            "title_aux": "ComfyBreakAnim"
+        }
+    ],
+    "https://github.com/LonicaMewinsky/ComfyUI-RawSaver": [
+        [
+            "SaveTifImage"
+        ],
+        {
+            "title_aux": "ComfyUI-RawSaver"
+        }
+    ],
+    "https://github.com/Ludobico/ComfyUI-ScenarioPrompt": [
+        [
+            "ScenarioPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-ScenarioPrompt"
+        }
+    ],
+    "https://github.com/LyazS/comfyui-anime-seg": [
+        [
+            "Anime Character Seg"
+        ],
+        {
+            "title_aux": "Anime Character Segmentation node for comfyui"
+        }
+    ],
+    "https://github.com/M1kep/ComfyLiterals": [
+        [
+            "Checkpoint",
+            "Float",
+            "Int",
+            "KepStringLiteral",
+            "Lora",
+            "Operation",
+            "String"
+        ],
+        {
+            "title_aux": "ComfyLiterals"
+        }
+    ],
+    "https://github.com/M1kep/ComfyUI-KepOpenAI": [
+        [
+            "KepOpenAI_ImageWithPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-KepOpenAI"
+        }
+    ],
+    "https://github.com/M1kep/ComfyUI-OtherVAEs": [
+        [
+            "OtherVAE_Taesd"
+        ],
+        {
+            "title_aux": "ComfyUI-OtherVAEs"
+        }
+    ],
+    "https://github.com/M1kep/Comfy_KepKitchenSink": [
+        [
+            "KepRotateImage"
+        ],
+        {
+            "title_aux": "Comfy_KepKitchenSink"
+        }
+    ],
+    "https://github.com/M1kep/Comfy_KepListStuff": [
+        [
+            "Empty Images",
+            "Image Overlay",
+            "ImageListLoader",
+            "Join Float Lists",
+            "Join Image Lists",
+            "KepStringList",
+            "KepStringListFromNewline",
+            "Kep_JoinListAny",
+            "Kep_RepeatList",
+            "Kep_ReverseList",
+            "Kep_VariableImageBuilder",
+            "List Length",
+            "Range(Num Steps) - Float",
+            "Range(Num Steps) - Int",
+            "Range(Step) - Float",
+            "Range(Step) - Int",
+            "Stack Images",
+            "XYAny",
+            "XYImage"
+        ],
+        {
+            "title_aux": "Comfy_KepListStuff"
+        }
+    ],
+    "https://github.com/M1kep/Comfy_KepMatteAnything": [
+        [
+            "MatteAnything_DinoBoxes",
+            "MatteAnything_GenerateVITMatte",
+            "MatteAnything_InitSamPredictor",
+            "MatteAnything_LoadDINO",
+            "MatteAnything_LoadVITMatteModel",
+            "MatteAnything_SAMLoader",
+            "MatteAnything_SAMMaskFromBoxes",
+            "MatteAnything_ToTrimap"
+        ],
+        {
+            "title_aux": "Comfy_KepMatteAnything"
+        }
+    ],
+    "https://github.com/M1kep/KepPromptLang": [
+        [
+            "Build Gif",
+            "Special CLIP Loader"
+        ],
+        {
+            "title_aux": "KepPromptLang"
+        }
+    ],
+    "https://github.com/MNeMoNiCuZ/ComfyUI-mnemic-nodes": [
+        [
+            "\u26d4 Generate Negative Prompt",
+            "\u2728 Groq LLM API",
+            "\ud83d\udcbe Save Text File With Path",
+            "\ud83d\uddbc\ufe0f Download Image from URL"
+        ],
+        {
+            "title_aux": "ComfyUI-mnemic-nodes"
+        }
+    ],
+    "https://github.com/Makeezi/ComfyUI-promptLAB": [
+        [
+            "PromptLAB"
+        ],
+        {
+            "title_aux": "ComfyUI-promptLAB"
+        }
+    ],
+    "https://github.com/MakkiShizu/comfyui_reimgsize": [
+        [
+            "Cropimg",
+            "Resize"
+        ],
+        {
+            "title_aux": "comfyui_reimgsize"
+        }
+    ],
+    "https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes": [
+        [
+            "Image Remove Background (rembg)"
+        ],
+        {
+            "title_aux": "Batch Rembg for ComfyUI"
+        }
+    ],
+    "https://github.com/ManglerFTW/ComfyI2I": [
+        [
+            "Color Transfer",
+            "Combine and Paste",
+            "Inpaint Segments",
+            "Mask Ops"
+        ],
+        {
+            "author": "ManglerFTW",
+            "title": "ComfyI2I",
+            "title_aux": "ComfyI2I"
+        }
+    ],
+    "https://github.com/MaraScott/ComfyUI_MaraScott_Nodes": [
+        [
+            "MaraScottAnyBusNode",
+            "MaraScottAnyBus_v2",
+            "MaraScottDisplayInfoNode",
+            "MaraScottDisplayInfo_v1",
+            "MaraScottMcBoatyRefiner_v4",
+            "MaraScottMcBoatyRefiner_v5",
+            "MaraScottMcBoatyTilePrompter_v4",
+            "MaraScottMcBoatyTilePrompter_v5",
+            "MaraScottMcBoatyUpscalerRefiner_v5",
+            "MaraScottMcBoatyUpscaler_v4",
+            "MaraScottMcBoatyUpscaler_v5",
+            "MaraScottPasteInpaintingByMask_v1",
+            "MaraScottPromptFromImage_v1",
+            "MaraScottSetInpaintingByMask_v1",
+            "MaraScottUpscalerRefinerNode_v2",
+            "MaraScottUpscalerRefinerNode_v3",
+            "MaraScott_Kijai_TokenCounter_v1"
+        ],
+        {
+            "title_aux": "\ud83d\udc30 MaraScott Nodes"
+        }
+    ],
+    "https://github.com/MarcusNyne/m9-prompts-comfyui": [
+        [
+            "ScramblePrompts_m9",
+            "TweakWeights_m9"
+        ],
+        {
+            "title_aux": "m9-prompts-comfyui"
+        }
+    ],
+    "https://github.com/MariusKM/ComfyUI-BadmanNodes": [
+        [
+            "BadmanCLIPTextEncodeSDXLRegion",
+            "BadmanIO",
+            "BadmanIntUtil",
+            "BadmanStringSelect",
+            "Badman_Blend",
+            "Badman_Concat_String",
+            "Badman_HexGenerator",
+            "Badman_Print",
+            "Badman_String"
+        ],
+        {
+            "title_aux": "ComfyUI-BadmanNodes"
+        }
+    ],
+    "https://github.com/MarkoCa1/ComfyUI-Text": [
+        [
+            "CombinationText",
+            "PlaceholderText",
+            "ReplaceText",
+            "ShowText"
+        ],
+        {
+            "title_aux": "ComfyUI-Text"
+        }
+    ],
+    "https://github.com/MarkoCa1/ComfyUI_Segment_Mask": [
+        [
+            "AutomaticMask(segment anything)"
+        ],
+        {
+            "title_aux": "ComfyUI_Segment_Mask"
+        }
+    ],
+    "https://github.com/Marksusu/ComfyUI_MTCLIPEncode": [
+        [
+            "MTCLIPEncode"
+        ],
+        {
+            "title_aux": "ComfyUI_MTCLIPEncode"
+        }
+    ],
+    "https://github.com/Mason-McGough/ComfyUI-Mosaica": [
+        [
+            "ApplyLUTToLabelImage",
+            "KMeans",
+            "LoadLUTFromMatplotlib",
+            "MeanShift",
+            "RandomLUT",
+            "Watershed"
+        ],
+        {
+            "title_aux": "Mosaica"
+        }
+    ],
+    "https://github.com/MiddleKD/ComfyUI-mem-safe-wrapper": [
+        [
+            "MakeModelMemorySafe-safewrapper",
+            "ResetModelPatcher-safewrapper",
+            "SimpleDummyModel-safewrapper",
+            "SimpleDummyRun-safewrapper"
+        ],
+        {
+            "title_aux": "ComfyUI-mem-safe-wrapper"
+        }
+    ],
+    "https://github.com/MiddleKD/ComfyUI-productfix": [
+        [
+            "ApplyLatentInjection",
+            "DetailTransferAdd",
+            "DetailTransferLatentAdd",
+            "DynamicImageResize",
+            "GetTextMask",
+            "ResetModelPatcherCalculateWeight",
+            "VQDecoder",
+            "VQEncoder",
+            "VQLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-productfix"
+        }
+    ],
+    "https://github.com/MilitantHitchhiker/MilitantHitchhiker-SwitchbladePack": [
+        [
+            "FluxModelSave_v2",
+            "IntegratedRandomPromptGenerator",
+            "MilitantMergeNodev2",
+            "ModelAnalyserNode",
+            "TextAppender_v2"
+        ],
+        {
+            "author": "Militant Hitchhiker",
+            "description": "Militant Hitchhiker's multi-function nodes.",
+            "nickname": "Switchblade",
+            "title": "Switchblade Pack",
+            "title_aux": "MilitantHitchhiker-SwitchbladePack"
+        }
+    ],
+    "https://github.com/Mintbeer96/ComfyUI-KerasOCR": [
+        [
+            "KerasOCR"
+        ],
+        {
+            "title_aux": "ComfyUI-KerasOCR"
+        }
+    ],
+    "https://github.com/Miosp/ComfyUI-FBCNN": [
+        [
+            "JPEG artifacts removal FBCNN"
+        ],
+        {
+            "title_aux": "ComfyUI-FBCNN"
+        }
+    ],
+    "https://github.com/MitoshiroPJ/comfyui_slothful_attention": [
+        [
+            "NearSightedAttention",
+            "NearSightedAttentionSimple",
+            "NearSightedTile",
+            "SlothfulAttention"
+        ],
+        {
+            "title_aux": "ComfyUI Slothful Attention"
+        }
+    ],
+    "https://github.com/MohammadAboulEla/ComfyUI-iTools": [
+        [
+            "iToolsAddOverlay",
+            "iToolsLoadImagePlus",
+            "iToolsLoadImages",
+            "iToolsPromptLoader",
+            "iToolsPromptSaver"
+        ],
+        {
+            "title_aux": "ComfyUI-iTools"
+        }
+    ],
+    "https://github.com/MokkaBoss1/ComfyUI_Mokkaboss1": [
+        [
+            "AnimeCosplayDir",
+            "AspectRatioCondition",
+            "ChooseImage",
+            "Colors",
+            "CombinedCrop",
+            "ConnectFloat",
+            "ConnectImage",
+            "ConnectInteger",
+            "ConnectLatent",
+            "ConnectString",
+            "DirSelector",
+            "DoubleClipTextEncode",
+            "EmbeddingLoader",
+            "FilmCharDir",
+            "FuseImages",
+            "FuseImages2",
+            "HashText",
+            "HueSatLum",
+            "HueShift",
+            "ImageDimensions",
+            "ImageDimensionsBatch",
+            "ImageOverlayResized",
+            "ImageResizeLong",
+            "ImageZigzag",
+            "IndoorBackgrounds",
+            "IndoorDir",
+            "IntEvaluate",
+            "IntFloatDict",
+            "IntStringDict",
+            "JsonSearch",
+            "KillWorkflow",
+            "LandscapeBackgrounds",
+            "LandscapeDir",
+            "MakeupStylesDir",
+            "Mbsampler",
+            "OptimalCrop",
+            "Overlay",
+            "PhotomontageA",
+            "PhotomontageB",
+            "PhotomontageC",
+            "PostSamplerCrop",
+            "PresetLoad",
+            "PresetRemove",
+            "PresetSave",
+            "PromptSwitcher",
+            "RandomString",
+            "SDXLEmptyLatent",
+            "SavePrompt",
+            "SaveWithMetaData",
+            "SaveWithMetaData2",
+            "SearchReplace",
+            "SimplePrompts",
+            "SpecificStylesDir",
+            "SplitImages",
+            "StringJoin",
+            "TimeStamp",
+            "TintnShift",
+            "TricolorComposition",
+            "WorkflowSettings",
+            "WrapText",
+            "X_In_a_Dress",
+            "X_In_a_Suit",
+            "X_In_a_Suit)",
+            "ZoomCrop",
+            "imageborder"
+        ],
+        {
+            "title_aux": "Node Pack mostly for manipulating strings and integers"
+        }
+    ],
+    "https://github.com/MrForExample/ComfyUI-3D-Pack": [
+        [],
+        {
+            "nodename_pattern": "^\\[Comfy3D\\]",
+            "title_aux": "ComfyUI-3D-Pack"
+        }
+    ],
+    "https://github.com/MrForExample/ComfyUI-AnimateAnyone-Evolved": [
+        [],
+        {
+            "nodename_pattern": "^\\[AnimateAnyone\\]",
+            "title_aux": "ComfyUI-AnimateAnyone-Evolved"
+        }
+    ],
+    "https://github.com/MrSamSeen/ComfyUI_SSStereoscope": [
+        [
+            "SBS_by_SamSeen"
+        ],
+        {
+            "title_aux": "ComfyUI_SSStereoscope"
+        }
+    ],
+    "https://github.com/Munkyfoot/ComfyUI-TextOverlay": [
+        [
+            "Text Overlay"
+        ],
+        {
+            "title_aux": "ComfyUI-TextOverlay"
+        }
+    ],
+    "https://github.com/MushroomFleet/DJZ-Nodes": [
+        [
+            "AspectSize",
+            "AspectSizeV2",
+            "ImageSizeAdjuster",
+            "ImageSizeAdjusterV2",
+            "StringWeights",
+            "ZenkaiPrompt",
+            "ZenkaiPromptV2",
+            "ZenkaiWildcard",
+            "ZenkaiWildcardV2"
+        ],
+        {
+            "title_aux": "DJZ-Nodes"
+        }
+    ],
+    "https://github.com/MuziekMagie/ComfyUI-Matchering": [
+        [
+            "Matchering",
+            "MatcheringAdvanced",
+            "MatcheringLimiterConfig"
+        ],
+        {
+            "title_aux": "ComfyUI-Matchering"
+        }
+    ],
+    "https://github.com/N3rd00d/ComfyUI-Paint3D-Nodes": [
+        [
+            "3D_GenerateDepthImage",
+            "3D_GenerateInpaintMask",
+            "3D_GenerateInpaintUVMapMask",
+            "3D_GeneratePreviewVideo",
+            "3D_LoadMeshModel",
+            "3D_Projection",
+            "3D_SaveUVMapImage",
+            "3D_TrainConfig",
+            "3D_TrainConfigPipe"
+        ],
+        {
+            "title_aux": "ComfyUI-Paint3D-Nodes"
+        }
+    ],
+    "https://github.com/NMWave/ComfyUI-Nader-Tagging": [
+        [
+            "Load Text List",
+            "Split Sentences",
+            "Split Tags",
+            "Tag Alternating Combiner",
+            "Tag Duplicate Remover",
+            "Token Counter"
+        ],
+        {
+            "title_aux": "Image Captioning and Tagging Assistor Nodes"
+        }
+    ],
+    "https://github.com/NVIDIAGameWorks/ComfyUI-RTX-Remix": [
+        [
+            "RTXRemixCreateLayer",
+            "RTXRemixDefineLayerId",
+            "RTXRemixDeleteFile",
+            "RTXRemixEndContext",
+            "RTXRemixGetEditTarget",
+            "RTXRemixGetLayers",
+            "RTXRemixGetTextures",
+            "RTXRemixIngestTexture",
+            "RTXRemixInvertBool",
+            "RTXRemixLayerType",
+            "RTXRemixLayerTypes",
+            "RTXRemixMuteLayer",
+            "RTXRemixRemoveLayer",
+            "RTXRemixRestAPIDetails",
+            "RTXRemixSaveLayer",
+            "RTXRemixSetEditTarget",
+            "RTXRemixSetTexture",
+            "RTXRemixStartContext",
+            "RTXRemixStrToList",
+            "RTXRemixStringConcatenate",
+            "RTXRemixStringConstant",
+            "RTXRemixSwitch",
+            "RTXRemixTextureTypeToUSDAttribute",
+            "RTXRemixTexturesType",
+            "RTXRemixTexturesTypes"
+        ],
+        {
+            "title_aux": "ComfyUI-RTX-Remix"
+        }
+    ],
+    "https://github.com/NakamuraShippo/ComfyUI-PromptList": [
+        [
+            "ComfyUI-PromptList"
+        ],
+        {
+            "author": "NakamuraShippo",
+            "description": "Custom node to manage prompts in YAML format.|YAML\u3067\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u7ba1\u7406\u3059\u308b\u30ce\u30fc\u30c9",
+            "title": "ComfyUI-PromptList",
+            "title_aux": "ComfyUI-PromptList"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/ComfyUI-Dimensional-Latent-Perlin": [
+        [
+            "NoisyLatentPerlinD"
+        ],
+        {
+            "title_aux": "Dimensional Latent Perlin for ComfyUI"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/ComfyUI-FluxPseudoNegativePrompt": [
+        [
+            "FluxPseudoNegativeNode"
+        ],
+        {
+            "title_aux": "FluxPseudoNegative"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/ComfyUI-PromptJSON": [
+        [
+            "PromptJSON"
+        ],
+        {
+            "title_aux": "PromptJSON Node for ComfyUI"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/Comfyui-Superprompt-Unofficial": [
+        [
+            "SuperPrompterNode"
+        ],
+        {
+            "title_aux": "SuperPrompter Node for ComfyUI"
+        }
+    ],
+    "https://github.com/NicholasMcCarthy/ComfyUI_TravelSuite": [
+        [
+            "LatentTravel"
+        ],
+        {
+            "title_aux": "ComfyUI_TravelSuite"
+        }
+    ],
+    "https://github.com/NimaNzrii/comfyui-photoshop": [
+        [
+            "\ud83d\udd39 Photoshop RemoteConnection",
+            "\ud83d\udd39ClipPass",
+            "\ud83d\udd39Photoshop ComfyUI Plugin",
+            "\ud83d\udd39SendTo Photoshop Plugin",
+            "\ud83d\udd39modelPass"
+        ],
+        {
+            "title_aux": "comfyui-photoshop"
+        }
+    ],
+    "https://github.com/NimaNzrii/comfyui-popup_preview": [
+        [
+            "PreviewPopup"
+        ],
+        {
+            "title_aux": "comfyui-popup_preview"
+        }
+    ],
+    "https://github.com/Niutonian/ComfyUi-NoodleWebcam": [
+        [
+            "WebcamNode"
+        ],
+        {
+            "title_aux": "ComfyUi-NoodleWebcam"
+        }
+    ],
+    "https://github.com/Nlar/ComfyUI_CartoonSegmentation": [
+        [
+            "AnimeSegmentation",
+            "KenBurnsConfigLoader",
+            "KenBurns_Processor",
+            "LoadImageFilename"
+        ],
+        {
+            "author": "Nels Larsen",
+            "description": "This extension offers a front end to the Cartoon Segmentation Project (https://github.com/CartoonSegmentation/CartoonSegmentation)",
+            "nickname": "CfyCS",
+            "title": "ComfyUI_CartoonSegmentation",
+            "title_aux": "ComfyUI_CartoonSegmentation"
+        }
+    ],
+    "https://github.com/NotHarroweD/Harronode": [
+        [
+            "Harronode"
+        ],
+        {
+            "author": "HarroweD and quadmoon (https://github.com/traugdor)",
+            "description": "This extension to ComfyUI will build a prompt for the Harrlogos LoRA for SDXL.",
+            "nickname": "Harronode",
+            "nodename_pattern": "Harronode",
+            "title": "Harrlogos Prompt Builder Node",
+            "title_aux": "Harrlogos Prompt Builder Node"
+        }
+    ],
+    "https://github.com/Nourepide/ComfyUI-Allor": [
+        [
+            "AlphaChanelAdd",
+            "AlphaChanelAddByMask",
+            "AlphaChanelAsMask",
+            "AlphaChanelRemove",
+            "AlphaChanelRestore",
+            "ClipClamp",
+            "ClipVisionClamp",
+            "ClipVisionOutputClamp",
+            "ConditioningClamp",
+            "ControlNetClamp",
+            "GligenClamp",
+            "ImageBatchCopy",
+            "ImageBatchFork",
+            "ImageBatchGet",
+            "ImageBatchJoin",
+            "ImageBatchPermute",
+            "ImageBatchRemove",
+            "ImageClamp",
+            "ImageCompositeAbsolute",
+            "ImageCompositeAbsoluteByContainer",
+            "ImageCompositeRelative",
+            "ImageCompositeRelativeByContainer",
+            "ImageContainer",
+            "ImageContainerInheritanceAdd",
+            "ImageContainerInheritanceMax",
+            "ImageContainerInheritanceScale",
+            "ImageContainerInheritanceSum",
+            "ImageDrawArc",
+            "ImageDrawArcByContainer",
+            "ImageDrawChord",
+            "ImageDrawChordByContainer",
+            "ImageDrawEllipse",
+            "ImageDrawEllipseByContainer",
+            "ImageDrawLine",
+            "ImageDrawLineByContainer",
+            "ImageDrawPieslice",
+            "ImageDrawPiesliceByContainer",
+            "ImageDrawPolygon",
+            "ImageDrawRectangle",
+            "ImageDrawRectangleByContainer",
+            "ImageDrawRectangleRounded",
+            "ImageDrawRectangleRoundedByContainer",
+            "ImageEffectsAdjustment",
+            "ImageEffectsGrayscale",
+            "ImageEffectsLensBokeh",
+            "ImageEffectsLensChromaticAberration",
+            "ImageEffectsLensOpticAxis",
+            "ImageEffectsLensVignette",
+            "ImageEffectsLensZoomBurst",
+            "ImageEffectsNegative",
+            "ImageEffectsSepia",
+            "ImageFilterBilateralBlur",
+            "ImageFilterBlur",
+            "ImageFilterBoxBlur",
+            "ImageFilterContour",
+            "ImageFilterDetail",
+            "ImageFilterEdgeEnhance",
+            "ImageFilterEdgeEnhanceMore",
+            "ImageFilterEmboss",
+            "ImageFilterFindEdges",
+            "ImageFilterGaussianBlur",
+            "ImageFilterGaussianBlurAdvanced",
+            "ImageFilterMax",
+            "ImageFilterMedianBlur",
+            "ImageFilterMin",
+            "ImageFilterMode",
+            "ImageFilterRank",
+            "ImageFilterSharpen",
+            "ImageFilterSmooth",
+            "ImageFilterSmoothMore",
+            "ImageFilterStackBlur",
+            "ImageNoiseBeta",
+            "ImageNoiseBinomial",
+            "ImageNoiseBytes",
+            "ImageNoiseGaussian",
+            "ImageSegmentation",
+            "ImageSegmentationCustom",
+            "ImageSegmentationCustomAdvanced",
+            "ImageText",
+            "ImageTextMultiline",
+            "ImageTextMultilineOutlined",
+            "ImageTextOutlined",
+            "ImageTransformCropAbsolute",
+            "ImageTransformCropCorners",
+            "ImageTransformCropRelative",
+            "ImageTransformPaddingAbsolute",
+            "ImageTransformPaddingRelative",
+            "ImageTransformResizeAbsolute",
+            "ImageTransformResizeClip",
+            "ImageTransformResizeRelative",
+            "ImageTransformRotate",
+            "ImageTransformTranspose",
+            "LatentClamp",
+            "MaskClamp",
+            "ModelClamp",
+            "StyleModelClamp",
+            "UpscaleModelClamp",
+            "VaeClamp"
+        ],
+        {
+            "title_aux": "Allor Plugin"
+        }
+    ],
+    "https://github.com/Nuked88/ComfyUI-N-Nodes": [
+        [
+            "CLIPTextEncodeAdvancedNSuite [n-suite]",
+            "DynamicPrompt [n-suite]",
+            "Float Variable [n-suite]",
+            "FrameInterpolator [n-suite]",
+            "GPT Loader Simple [n-suite]",
+            "GPT Sampler [n-suite]",
+            "ImagePadForOutpaintAdvanced [n-suite]",
+            "Integer Variable [n-suite]",
+            "Llava Clip Loader [n-suite]",
+            "LoadFramesFromFolder [n-suite]",
+            "LoadImageFromFolder [n-suite]",
+            "LoadVideo [n-suite]",
+            "SaveVideo [n-suite]",
+            "SetMetadataForSaveVideo [n-suite]",
+            "String Variable [n-suite]"
+        ],
+        {
+            "title_aux": "ComfyUI-N-Nodes"
+        }
+    ],
+    "https://github.com/Off-Live/ComfyUI-off-suite": [
+        [
+            "Apply CLAHE",
+            "Cached Image Load From URL",
+            "CalcMaskBound",
+            "Crop Center wigh SEGS",
+            "Crop Center with SEGS",
+            "Dilate Mask for Each Face",
+            "GW Number Formatting",
+            "Grid Image from batch (OFF)",
+            "Image Crop Fit",
+            "Image Resize Fit",
+            "OFF SEGS to Image",
+            "Paste Face Segment to Image",
+            "Query Gender and Age",
+            "RandomSeedfromList",
+            "SEGS to Face Crop Data",
+            "Safe Mask to Image",
+            "VAE Encode For Inpaint V2",
+            "Watermarking"
+        ],
+        {
+            "title_aux": "ComfyUI-off-suite"
+        }
+    ],
+    "https://github.com/Onierous/QRNG_Node_ComfyUI/raw/main/qrng_node.py": [
+        [
+            "QRNG_Node_CSV"
+        ],
+        {
+            "preemptions": [
+                "SAMLoader"
+            ],
+            "title_aux": "QRNG_Node_ComfyUI"
+        }
+    ],
+    "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex": [
+        [
+            "Pipe From Parameters",
+            "Pipe To Parameters",
+            "Prompt Tidy",
+            "Text Switch 2 Way",
+            "Text With Context"
+        ],
+        {
+            "title_aux": "ComfyUI-Simple-Of-Complex"
+        }
+    ],
+    "https://github.com/PCMonsterx/ComfyUI-CSV-Loader": [
+        [
+            "Load Artists CSV",
+            "Load Artmovements CSV",
+            "Load Characters CSV",
+            "Load Colors CSV",
+            "Load Composition CSV",
+            "Load Lighting CSV",
+            "Load Negative CSV",
+            "Load Positive CSV",
+            "Load Settings CSV",
+            "Load Styles CSV"
+        ],
+        {
+            "title_aux": "ComfyUI-CSV-Loader"
+        }
+    ],
+    "https://github.com/Parameshvadivel/ComfyUI-SVGview": [
+        [
+            "SVGPreview"
+        ],
+        {
+            "title_aux": "ComfyUI-SVGview"
+        }
+    ],
+    "https://github.com/ParisNeo/lollms_nodes_suite": [
+        [
+            "Artbot",
+            "Lollms_Text_Gen",
+            "Lollms_Text_Saver",
+            "RandomizeVideo"
+        ],
+        {
+            "title_aux": "lollms_nodes_suite"
+        }
+    ],
+    "https://github.com/ParmanBabra/ComfyUI-Malefish-Custom-Scripts": [
+        [
+            "CSVPromptsLoader",
+            "CombinePrompt",
+            "MultiLoraLoader",
+            "RandomPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-Malefish-Custom-Scripts"
+        }
+    ],
+    "https://github.com/Pfaeff/pfaeff-comfyui": [
+        [
+            "AstropulsePixelDetector",
+            "BackgroundRemover",
+            "ImagePadForBetterOutpaint",
+            "Inpainting",
+            "InpaintingPipelineLoader"
+        ],
+        {
+            "title_aux": "pfaeff-comfyui"
+        }
+    ],
+    "https://github.com/Pheat-AI/Remade_nodes": [
+        [
+            "Batch Image Blend by Mask"
+        ],
+        {
+            "title_aux": "Remade_nodes"
+        }
+    ],
+    "https://github.com/PnthrLeo/comfyUI-image-search": [
+        [
+            "CloseImagesSearcher"
+        ],
+        {
+            "title_aux": "comfyUI-image-search"
+        }
+    ],
+    "https://github.com/Pos13/comfyui-cyclist": [
+        [
+            "CyclistCompare",
+            "CyclistMathFloat",
+            "CyclistMathInt",
+            "CyclistTimer",
+            "CyclistTimerStop",
+            "CyclistTypeCast",
+            "Interrupt",
+            "LoopManager",
+            "MemorizeConditioning",
+            "MemorizeFloat",
+            "MemorizeInt",
+            "MemorizeString",
+            "OverrideImage",
+            "OverrideLatent",
+            "OverrideModel",
+            "RecallConditioning",
+            "RecallFloat",
+            "RecallInt",
+            "RecallString",
+            "ReloadImage",
+            "ReloadLatent",
+            "ReloadModel"
+        ],
+        {
+            "author": "Pos13",
+            "description": "This extension provides tools to iterate generation results between runs. In general, it's for cycles.",
+            "nickname": "comfyui-cyclist",
+            "title": "Cyclist",
+            "title_aux": "Cyclist"
+        }
+    ],
+    "https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait": [
+        [
+            "AdvancedLivePortrait",
+            "ExpData",
+            "ExpressionEditor",
+            "LoadExpData",
+            "PrintExpData:",
+            "SaveExpData"
+        ],
+        {
+            "title_aux": "ComfyUI-AdvancedLivePortrait"
+        }
+    ],
+    "https://github.com/Pseudotools/Pseudocomfy": [
+        [
+            "Combiner",
+            "LoadJSONAuto",
+            "LoadJSONFromFolder",
+            "MakeMaskBatch",
+            "MixedBuiltinCombinerIPAdaper",
+            "ProcessJSON"
+        ],
+        {
+            "title_aux": "Pseudocomfy"
+        }
+    ],
+    "https://github.com/QaisMalkawi/ComfyUI-QaisHelper": [
+        [
+            "Bool Binary Operation",
+            "Bool Unary Operation",
+            "Item Debugger",
+            "Item Switch",
+            "Nearest SDXL Resolution",
+            "SDXL Resolution",
+            "Size Swapper"
+        ],
+        {
+            "title_aux": "ComfyUI-Qais-Helper"
+        }
+    ],
+    "https://github.com/Raapys/ComfyUI-LatentGC_Aggressive": [
+        [
+            "LatentGC"
+        ],
+        {
+            "title_aux": "LatentGC Aggressive"
+        }
+    ],
+    "https://github.com/RedRayz/ComfyUI-Danbooru-To-WD": [
+        [
+            "DanbooruToWD"
+        ],
+        {
+            "title_aux": "ComfyUI-Danbooru-To-WD"
+        }
+    ],
+    "https://github.com/RenderRift/ComfyUI-RenderRiftNodes": [
+        [
+            "AnalyseMetadata",
+            "DateIntegerNode",
+            "DisplayMetaOptions",
+            "LoadImageWithMeta",
+            "MetadataOverlayNode",
+            "VideoPathMetaExtraction"
+        ],
+        {
+            "title_aux": "ComfyUI-RenderRiftNodes"
+        }
+    ],
+    "https://github.com/RhizoNymph/ComfyUI-Latte": [
+        [
+            "LatteVideoGenerator"
+        ],
+        {
+            "title_aux": "ComfyUI-Latte"
+        }
+    ],
+    "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher": [
+        [
+            "Image Stitching Node"
+        ],
+        {
+            "title_aux": "Panoramic Image Stitcher"
+        }
+    ],
+    "https://github.com/RomanKuschanow/ComfyUI-Advanced-Latent-Control": [
+        [
+            "LatentAddTransform",
+            "LatentInterpolateTransform",
+            "LatentMirror",
+            "LatentNormalize",
+            "LatentShift",
+            "MirrorTransform",
+            "MultiplyTransform",
+            "OffsetCombine",
+            "OneTimeLatentAddTransform",
+            "OneTimeLatentInterpolateTransform",
+            "OneTimeMirrorTransform",
+            "OneTimeMultiplyTransform",
+            "OneTimeShiftTransform",
+            "ShiftTransform",
+            "TransformHijack",
+            "TransformOffset",
+            "TransformSampler",
+            "TransformSamplerAdvanced",
+            "TransformsCombine"
+        ],
+        {
+            "title_aux": "Advanced Latent Control"
+        }
+    ],
+    "https://github.com/Ron-Digital/ComfyUI-SceneGenerator": [
+        [
+            "Scene Generator"
+        ],
+        {
+            "title_aux": "ComfyUI-SceneGenerator"
+        }
+    ],
+    "https://github.com/Ryuukeisyou/comfyui_face_parsing": [
+        [
+            "BBoxListItemSelect(FaceParsing)",
+            "BBoxResize(FaceParsing)",
+            "ColorAdjust(FaceParsing)",
+            "FaceBBoxDetect(FaceParsing)",
+            "FaceBBoxDetectorLoader(FaceParsing)",
+            "FaceParse(FaceParsing)",
+            "FaceParsingModelLoader(FaceParsing)",
+            "FaceParsingProcessorLoader(FaceParsing)",
+            "FaceParsingResultsParser(FaceParsing)",
+            "GuidedFilter(FaceParsing)",
+            "ImageCropWithBBox(FaceParsing)",
+            "ImageInsertWithBBox(FaceParsing)",
+            "ImageListSelect(FaceParsing)",
+            "ImagePadWithBBox(FaceParsing)",
+            "ImageResizeCalculator(FaceParsing)",
+            "ImageResizeWithBBox(FaceParsing)",
+            "ImageSize(FaceParsing)",
+            "LatentCropWithBBox(FaceParsing)",
+            "LatentInsertWithBBox(FaceParsing)",
+            "LatentSize(FaceParsing)",
+            "MaskComposite(FaceParsing)",
+            "MaskInsertWithBBox(FaceParsing)",
+            "MaskListComposite(FaceParsing)",
+            "MaskListSelect(FaceParsing)",
+            "MaskToBBox(FaceParsing)",
+            "SkinDetectTraditional(FaceParsing)"
+        ],
+        {
+            "title_aux": "comfyui_face_parsing"
+        }
+    ],
+    "https://github.com/Ryuukeisyou/comfyui_io_helpers": [
+        [
+            "ImageLoadAsMaskByPath(IOHelpers)",
+            "ImageLoadByPath(IOHelpers)",
+            "ImageLoadFromBase64(IOHelpers)",
+            "ImageSaveAsBase64(IOHelpers)",
+            "ImageSaveToPath(IOHelpers)",
+            "TypeConversion(IOHelpers)",
+            "VHSFileNamesToStrings(IOHelpers)"
+        ],
+        {
+            "title_aux": "comfyui_io_helpers"
+        }
+    ],
+    "https://github.com/SEkINVR/ComfyUI-SaveAs": [
+        [
+            "ComfyUISaveAs"
+        ],
+        {
+            "title_aux": "ComfyUI SaveAS"
+        }
+    ],
+    "https://github.com/SLAPaper/ComfyUI-Image-Selector": [
+        [
+            "ImageDuplicator",
+            "ImageSelector",
+            "LatentDuplicator",
+            "LatentSelector"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Selector"
+        }
+    ],
+    "https://github.com/SOELexicon/ComfyUI-LexMSDBNodes": [
+        [
+            "MSSqlSelectNode",
+            "MSSqlTableNode"
+        ],
+        {
+            "title_aux": "LexMSDBNodes"
+        }
+    ],
+    "https://github.com/SOELexicon/ComfyUI-LexTools": [
+        [
+            "AesthetlcScoreSorter",
+            "AgeClassifierNode",
+            "ArtOrHumanClassifierNode",
+            "CalculateAestheticScore",
+            "DocumentClassificationNode",
+            "FoodCategoryClassifierNode",
+            "ImageAspectPadNode",
+            "ImageCaptioning",
+            "ImageFilterByFloatScoreNode",
+            "ImageFilterByIntScoreNode",
+            "ImageQualityScoreNode",
+            "ImageRankingNode",
+            "ImageScaleToMin",
+            "LoadAesteticModel",
+            "MD5ImageHashNode",
+            "SamplerPropertiesNode",
+            "ScoreConverterNode",
+            "SeedIncrementerNode",
+            "SegformerNode",
+            "SegformerNodeMasks",
+            "SegformerNodeMergeSegments",
+            "StepCfgIncrementNode"
+        ],
+        {
+            "title_aux": "ComfyUI-LexTools"
+        }
+    ],
+    "https://github.com/SadaleNet/CLIPTextEncodeA1111-ComfyUI/raw/master/custom_nodes/clip_text_encoder_a1111.py": [
+        [
+            "CLIPTextEncodeA1111",
+            "RerouteTextForCLIPTextEncodeA1111"
+        ],
+        {
+            "title_aux": "ComfyUI A1111-like Prompt Custom Node Solution"
+        }
+    ],
+    "https://github.com/SamKhoze/ComfyUI-DeepFuze": [
+        [
+            "DeepFuze Save",
+            "DeepFuzeAdavance",
+            "DeepFuzeFaceSwap",
+            "DeepfuzePreview",
+            "LLM_node",
+            "PlayBackAudio",
+            "TTS_generation"
+        ],
+        {
+            "title_aux": "DeepFuze"
+        }
+    ],
+    "https://github.com/SayanoAI/Comfy-RVC": [
+        [
+            "Any2ListNode",
+            "AudioBatchValueNode",
+            "AudioTranscriptionNode",
+            "BatchedTranscriptionEncoderNode",
+            "DownloadAudio",
+            "ImageRepeatInterleavedNode",
+            "LatentRepeatInterleavedNode",
+            "List2AnyNode",
+            "LoadHubertModel",
+            "LoadPitchExtractionParams",
+            "LoadRVCModelNode",
+            "LoadWhisperModelNode",
+            "MergeAudioNode",
+            "MergeImageBatches",
+            "MergeLatentBatches",
+            "MuseAudioFeatureExtractionNode",
+            "MuseImageFeatureExtractionNode",
+            "MuseTalkNode",
+            "RVC-Studio.LoadAudio",
+            "RVC-Studio.PreviewAudio",
+            "RVCNode",
+            "RVCProcessDatasetNode",
+            "RVCTrainModelNode",
+            "SimpleMathNode",
+            "SliceNode",
+            "SortImagesNode",
+            "UVR5Node",
+            "ZipNode"
+        ],
+        {
+            "title_aux": "Comfy-RVC"
+        }
+    ],
+    "https://github.com/Scholar01/ComfyUI-Keyframe": [
+        [
+            "KeyframeApply",
+            "KeyframeInterpolationPart",
+            "KeyframePart"
+        ],
+        {
+            "title_aux": "SComfyUI-Keyframe"
+        }
+    ],
+    "https://github.com/Scorpinaus/ComfyUI-DiffusersLoader": [
+        [
+            "CombinedDiffusersLoader",
+            "DiffusersClipLoader",
+            "DiffusersUNETLoader",
+            "DiffusersVAELoader"
+        ],
+        {
+            "title_aux": "ComfyUI-DiffusersLoader"
+        }
+    ],
+    "https://github.com/ScreamingHawk/comfyui-ollama-prompt-encode": [
+        [
+            "OllamaCLIPTextEncode",
+            "OllamaPromptGenerator"
+        ],
+        {
+            "author": "Michael Standen",
+            "description": "Use AI to generate prompts and perform CLIP text encoding",
+            "nickname": "Ollama Prompt Encode",
+            "title": "Ollama Prompt Encode",
+            "title_aux": "Ollama Prompt Encode"
+        }
+    ],
+    "https://github.com/SeaArtLab/ComfyUI-Long-CLIP": [
+        [
+            "SeaArtLongClip",
+            "SeaArtLongXLClipMerge"
+        ],
+        {
+            "title_aux": "ComfyUI-Long-CLIP"
+        }
+    ],
+    "https://github.com/SeargeDP/ComfyUI_Searge_LLM": [
+        [
+            "Searge_AdvOptionsNode",
+            "Searge_LLM_Node",
+            "Searge_Output_Node"
+        ],
+        {
+            "title_aux": "Searge-LLM for ComfyUI v1.0"
+        }
+    ],
+    "https://github.com/SeargeDP/SeargeSDXL": [
+        [
+            "SeargeAdvancedParameters",
+            "SeargeCheckpointLoader",
+            "SeargeConditionMixing",
+            "SeargeConditioningMuxer2",
+            "SeargeConditioningMuxer5",
+            "SeargeConditioningParameters",
+            "SeargeControlnetAdapterV2",
+            "SeargeControlnetModels",
+            "SeargeCustomAfterUpscaling",
+            "SeargeCustomAfterVaeDecode",
+            "SeargeCustomPromptMode",
+            "SeargeDebugPrinter",
+            "SeargeEnablerInputs",
+            "SeargeFloatConstant",
+            "SeargeFloatMath",
+            "SeargeFloatPair",
+            "SeargeFreeU",
+            "SeargeGenerated1",
+            "SeargeGenerationParameters",
+            "SeargeHighResolution",
+            "SeargeImage2ImageAndInpainting",
+            "SeargeImageAdapterV2",
+            "SeargeImageSave",
+            "SeargeImageSaving",
+            "SeargeInput1",
+            "SeargeInput2",
+            "SeargeInput3",
+            "SeargeInput4",
+            "SeargeInput5",
+            "SeargeInput6",
+            "SeargeInput7",
+            "SeargeIntegerConstant",
+            "SeargeIntegerMath",
+            "SeargeIntegerPair",
+            "SeargeIntegerScaler",
+            "SeargeLatentMuxer3",
+            "SeargeLoraLoader",
+            "SeargeLoras",
+            "SeargeMagicBox",
+            "SeargeModelSelector",
+            "SeargeOperatingMode",
+            "SeargeOutput1",
+            "SeargeOutput2",
+            "SeargeOutput3",
+            "SeargeOutput4",
+            "SeargeOutput5",
+            "SeargeOutput6",
+            "SeargeOutput7",
+            "SeargeParameterProcessor",
+            "SeargePipelineStart",
+            "SeargePipelineTerminator",
+            "SeargePreviewImage",
+            "SeargePromptAdapterV2",
+            "SeargePromptCombiner",
+            "SeargePromptStyles",
+            "SeargePromptText",
+            "SeargeSDXLBasePromptEncoder",
+            "SeargeSDXLImage2ImageSampler",
+            "SeargeSDXLImage2ImageSampler2",
+            "SeargeSDXLPromptEncoder",
+            "SeargeSDXLRefinerPromptEncoder",
+            "SeargeSDXLSampler",
+            "SeargeSDXLSampler2",
+            "SeargeSDXLSamplerV3",
+            "SeargeSamplerAdvanced",
+            "SeargeSamplerInputs",
+            "SeargeSaveFolderInputs",
+            "SeargeSeparator",
+            "SeargeStylePreprocessor",
+            "SeargeTextInputV2",
+            "SeargeUpscaleModelLoader",
+            "SeargeUpscaleModels",
+            "SeargeVAELoader"
+        ],
+        {
+            "title_aux": "SeargeSDXL"
+        }
+    ],
+    "https://github.com/Seedsa/Fooocus_Nodes": [
+        [
+            "BasicScheduler",
+            "CLIPLoader",
+            "CLIPMergeSimple",
+            "CLIPSave",
+            "CLIPSetLastLayer",
+            "CLIPTextEncode",
+            "CLIPTextEncodeSDXL",
+            "CLIPTextEncodeSDXLRefiner",
+            "CLIPVisionEncode",
+            "CLIPVisionLoader",
+            "Canny",
+            "CheckpointLoader",
+            "CheckpointLoaderSimple",
+            "CheckpointSave",
+            "ConditioningAverage",
+            "ConditioningCombine",
+            "ConditioningConcat",
+            "ConditioningSetArea",
+            "ConditioningSetAreaPercentage",
+            "ConditioningSetMask",
+            "ConditioningSetTimestepRange",
+            "ConditioningZeroOut",
+            "ControlNetApply",
+            "ControlNetApplyAdvanced",
+            "ControlNetLoader",
+            "CropMask",
+            "DiffControlNetLoader",
+            "DiffusersLoader",
+            "DualCLIPLoader",
+            "EmptyImage",
+            "EmptyLatentImage",
+            "ExponentialScheduler",
+            "FeatherMask",
+            "FlipSigmas",
+            "Fooocus ApplyImagePrompt",
+            "Fooocus Controlnet",
+            "Fooocus Describe",
+            "Fooocus Expansion",
+            "Fooocus ImagePrompt",
+            "Fooocus Inpaint",
+            "Fooocus KSampler",
+            "Fooocus Loader",
+            "Fooocus LoraStack",
+            "Fooocus PipeOut",
+            "Fooocus PreKSampler",
+            "Fooocus Styles",
+            "Fooocus Upscale",
+            "Fooocus detailerFix",
+            "Fooocus negative",
+            "Fooocus positive",
+            "Fooocus preDetailerFix",
+            "Fooocus samLoaderPipe",
+            "Fooocus ultralyticsDetectorPipe",
+            "FreeU",
+            "FreeU_V2",
+            "GLIGENLoader",
+            "GLIGENTextBoxApply",
+            "GrowMask",
+            "HyperTile",
+            "HypernetworkLoader",
+            "ImageBatch",
+            "ImageBlend",
+            "ImageBlur",
+            "ImageColorToMask",
+            "ImageCompositeMasked",
+            "ImageCrop",
+            "ImageInvert",
+            "ImageOnlyCheckpointLoader",
+            "ImageOnlyCheckpointSave",
+            "ImagePadForOutpaint",
+            "ImageQuantize",
+            "ImageScale",
+            "ImageScaleBy",
+            "ImageScaleToTotalPixels",
+            "ImageSharpen",
+            "ImageToMask",
+            "ImageUpscaleWithModel",
+            "InpaintModelConditioning",
+            "InvertMask",
+            "JoinImageWithAlpha",
+            "KSampler",
+            "KSamplerAdvanced",
+            "KSamplerSelect",
+            "KarrasScheduler",
+            "LatentAdd",
+            "LatentBatch",
+            "LatentBatchSeedBehavior",
+            "LatentBlend",
+            "LatentComposite",
+            "LatentCompositeMasked",
+            "LatentCrop",
+            "LatentFlip",
+            "LatentFromBatch",
+            "LatentInterpolate",
+            "LatentMultiply",
+            "LatentRotate",
+            "LatentSubtract",
+            "LatentUpscale",
+            "LatentUpscaleBy",
+            "LoadImage",
+            "LoadImageMask",
+            "LoadLatent",
+            "LoraLoader",
+            "LoraLoaderModelOnly",
+            "MaskComposite",
+            "MaskToImage",
+            "ModelMergeAdd",
+            "ModelMergeBlocks",
+            "ModelMergeSimple",
+            "ModelMergeSubtract",
+            "ModelSamplingContinuousEDM",
+            "ModelSamplingDiscrete",
+            "PatchModelAddDownscale",
+            "PerpNeg",
+            "PhotoMakerEncode",
+            "PhotoMakerLoader",
+            "PolyexponentialScheduler",
+            "PorterDuffImageComposite",
+            "PreviewImage",
+            "RebatchImages",
+            "RebatchLatents",
+            "RepeatImageBatch",
+            "RepeatLatentBatch",
+            "RescaleCFG",
+            "SDTurboScheduler",
+            "SD_4XUpscale_Conditioning",
+            "SVD_img2vid_Conditioning",
+            "SamplerCustom",
+            "SamplerDPMPP_2M_SDE",
+            "SamplerDPMPP_SDE",
+            "SaveAnimatedPNG",
+            "SaveAnimatedWEBP",
+            "SaveImage",
+            "SaveLatent",
+            "SelfAttentionGuidance",
+            "SetLatentNoiseMask",
+            "SolidMask",
+            "SplitImageWithAlpha",
+            "SplitSigmas",
+            "StableZero123_Conditioning",
+            "StableZero123_Conditioning_Batched",
+            "StyleModelApply",
+            "StyleModelLoader",
+            "TomePatchModel",
+            "UNETLoader",
+            "UpscaleModelLoader",
+            "VAEDecode",
+            "VAEDecodeTiled",
+            "VAEEncode",
+            "VAEEncodeForInpaint",
+            "VAEEncodeTiled",
+            "VAELoader",
+            "VAESave",
+            "VPScheduler",
+            "VideoLinearCFGGuidance",
+            "unCLIPCheckpointLoader",
+            "unCLIPConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI Fooocus Nodes"
+        }
+    ],
+    "https://github.com/Ser-Hilary/SDXL_sizing/raw/main/conditioning_sizing_for_SDXL.py": [
+        [
+            "get_aspect_from_image",
+            "get_aspect_from_ints",
+            "sizing_node",
+            "sizing_node_basic",
+            "sizing_node_unparsed"
+        ],
+        {
+            "title_aux": "SDXL_sizing"
+        }
+    ],
+    "https://github.com/Shadetail/ComfyUI_Eagleshadow": [
+        [
+            "Batch 12 Images",
+            "Detect Transparency",
+            "Fix Checkpoint Name",
+            "ImageLinearGammaCompositeMasked",
+            "KSampler Same Noise",
+            "MaskGlow",
+            "OffsetImage",
+            "Round Float to String",
+            "SaveImageToFolder",
+            "Select ControlNet",
+            "Select Model 20",
+            "Simple Load Image Batch"
+        ],
+        {
+            "title_aux": "Eagleshadow Custom Nodes"
+        }
+    ],
+    "https://github.com/SherryXieYuchen/ComfyUI-Image-Inpainting": [
+        [
+            "CropImageByRect",
+            "INPAINT_ColorCorrection",
+            "INPAINT_CropImage",
+            "INPAINT_InpaintingWithModel",
+            "INPAINT_LoadModel",
+            "INPAINT_PasteBackCropImage",
+            "INPAINT_VAEDecode",
+            "INPAINT_VAEEncode",
+            "ImagePostprocess",
+            "ImagePreprocess"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Inpainting"
+        }
+    ],
+    "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node": [
+        [
+            "ASCIIArtNode",
+            "ASCIIArtNodev2",
+            "ASCIIArtSinglefontNode"
+        ],
+        {
+            "author": "Shiba-2-shiba",
+            "description": "This node generates colorful ASCII art using custom character sets and fonts.",
+            "nickname": "ColorASCII",
+            "title": "Colorful ASCII Art Node",
+            "title_aux": "ComfyUI-color-ascii-art-node"
+        }
+    ],
+    "https://github.com/Shibiko-AI/ShibikoAI-ComfyUI-Tools": [
+        [
+            "Cascade",
+            "Luts",
+            "Waifu2x"
+        ],
+        {
+            "title_aux": "Shibiko AI ComfyUI Tools"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI-AstralAnimator": [
+        [
+            "AstralAnimator"
+        ],
+        {
+            "title_aux": "ComfyUI-AstralAnimator"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI-SVDResizer": [
+        [
+            "SVDRsizer"
+        ],
+        {
+            "title_aux": "ComfyUI-SVDResizer"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI_Gemini_Flash": [
+        [
+            "Gemini_Flash"
+        ],
+        {
+            "title_aux": "ComfyUI_Gemini_Flash"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI_wav2lip": [
+        [
+            "AudioPath",
+            "Wav2Lip"
+        ],
+        {
+            "title_aux": "Wav2Lip Node for ComfyUI"
+        }
+    ],
+    "https://github.com/Shraknard/ComfyUI-Remover": [
+        [
+            "Remover"
+        ],
+        {
+            "title_aux": "ComfyUI-Remover"
+        }
+    ],
+    "https://github.com/Siberpone/lazy-pony-prompter": [
+        [
+            "LPP_Deleter",
+            "LPP_Derpibooru",
+            "LPP_E621",
+            "LPP_Loader_Derpibooru",
+            "LPP_Loader_E621",
+            "LPP_Saver"
+        ],
+        {
+            "title_aux": "Lazy Pony Prompter"
+        }
+    ],
+    "https://github.com/Sieyalixnet/ComfyUI_Textarea_Loaders": [
+        [
+            "CheckPointLoader_Text",
+            "EmptyLatentImage_Text",
+            "LoRALoader_Text",
+            "LoadImage_Text"
+        ],
+        {
+            "title_aux": "ComfyUI_Textarea_Loaders"
+        }
+    ],
+    "https://github.com/Smirnov75/ComfyUI-mxToolkit": [
+        [
+            "mxSeed",
+            "mxSlider",
+            "mxSlider2D",
+            "mxStop"
+        ],
+        {
+            "title_aux": "ComfyUI-mxToolkit"
+        }
+    ],
+    "https://github.com/Smuzzies/comfyui_chatbox_overlay/raw/main/chatbox_overlay.py": [
+        [
+            "Chatbox Overlay"
+        ],
+        {
+            "title_aux": "Chatbox Overlay node for ComfyUI"
+        }
+    ],
+    "https://github.com/Smuzzies/comfyui_meme_maker": [
+        [
+            "MemeMaker"
+        ],
+        {
+            "title_aux": "comfyui_meme_maker"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI-DeepCache-Fix": [
+        [
+            "DeepCache_Fix"
+        ],
+        {
+            "title_aux": "ComfyUI-DeepCache-Fix"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI_ImageToText": [
+        [
+            "ComfyUI_ImageToText"
+        ],
+        {
+            "title_aux": "ComfyUI_ImageToText"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI_Mexx_Poster": [
+        [
+            "ComfyUI_Mexx_Poster"
+        ],
+        {
+            "title_aux": "ComfyUI_Mexx_Poster"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI_Mexx_Styler": [
+        [
+            "MexxSDXLPromptStyler",
+            "MexxSDXLPromptStylerAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI_Mexx_Styler"
+        }
+    ],
+    "https://github.com/Sorcerio/MBM-Music-Visualizer": [
+        [
+            "id",
+            "mbmAudioFeatureCalculator",
+            "mbmAudioLoader",
+            "mbmImageConcat",
+            "mbmPromptSequenceBuilder",
+            "mbmPromptSequenceBuilderAdv",
+            "mbmPromptSequenceInterpolator",
+            "mbmPromptSequenceLoader",
+            "mbmPromptSequenceRenderer"
+        ],
+        {
+            "title_aux": "MBM's Music Visualizer"
+        }
+    ],
+    "https://github.com/SozeInc/ComfyUI-Mobile": [
+        [
+            "Mobile_Settings_Launcher_Data",
+            "Send Notification (Mobile)",
+            "Settings Launcher (Mobile)",
+            "Ultimate Concat (Mobile)"
+        ],
+        {
+            "title_aux": "ComfyUI-Mobile"
+        }
+    ],
+    "https://github.com/SpaceKendo/ComfyUI-svd_txt2vid": [
+        [
+            "SVD_txt2vid_ConditioningwithLatent"
+        ],
+        {
+            "title_aux": "Text to video for Stable Video Diffusion in ComfyUI"
+        }
+    ],
+    "https://github.com/Stability-AI/ComfyUI-SAI_API": [
+        [
+            "Stability Conservative Upscale",
+            "Stability Control Skech",
+            "Stability Control Structure",
+            "Stability Creative Upscale",
+            "Stability Erase",
+            "Stability Image Core",
+            "Stability Image Ultra",
+            "Stability Inpainting",
+            "Stability Outpainting",
+            "Stability Remove Background",
+            "Stability SD3",
+            "Stability Search and Replace"
+        ],
+        {
+            "title_aux": "Stability API nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/Stability-AI/stability-ComfyUI-nodes": [
+        [
+            "ColorBlend",
+            "ControlLoraSave",
+            "GetImageSize"
+        ],
+        {
+            "title_aux": "stability-ComfyUI-nodes"
+        }
+    ],
+    "https://github.com/StarMagicAI/comfyui_tagger": [
+        [
+            "DownloadAndLoadFlorence2Lora_jsonL",
+            "DownloadAndLoadFlorence2Model_jsonL",
+            "Florence2ModelLoader_jsonL",
+            "Florence2Run_jsonL",
+            "Florence2Run_save_file_jsonL"
+        ],
+        {
+            "title_aux": "ComfyUI-tagger"
+        }
+    ],
+    "https://github.com/StartHua/ComfyUI_OOTDiffusion_CXH": [
+        [
+            "Ood_CXH"
+        ],
+        {
+            "title_aux": "ComfyUI_OOTDiffusion_CXH"
+        }
+    ],
+    "https://github.com/StartHua/ComfyUI_PCDMs": [
+        [
+            "PCDMS_CXH"
+        ],
+        {
+            "title_aux": "ComfyUI_PCDMs"
+        }
+    ],
+    "https://github.com/StartHua/ComfyUI_Seg_VITON": [
+        [
+            "segformer_agnostic",
+            "segformer_clothes",
+            "segformer_remove_bg",
+            "stabel_vition"
+        ],
+        {
+            "title_aux": "ComfyUI_Seg_VITON"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_CXH_joy_caption": [
+        [
+            "CXH_DownloadAndLoadFlorence2Model",
+            "CXH_Florence2Run",
+            "CXH_HG_Model_Load",
+            "CXH_Min2_6_prompt_Run",
+            "Joy_caption",
+            "Joy_caption_load"
+        ],
+        {
+            "title_aux": "Comfyui_CXH_joy_caption"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_joytag": [
+        [
+            "CXH_JoyTag"
+        ],
+        {
+            "title_aux": "Comfyui_joytag"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_segformer_b2_clothes": [
+        [
+            "segformer_b2_clothes",
+            "segformer_b3_fashion"
+        ],
+        {
+            "title_aux": "comfyui_segformer_b2_clothes"
+        }
+    ],
+    "https://github.com/Steudio/ComfyUI_Steudio": [
+        [
+            "DynamicTileMerge",
+            "DynamicTileSplit",
+            "Make Size",
+            "Make Size Latent",
+            "TileCalc"
+        ],
+        {
+            "title_aux": "ComfyUI_Steudio"
+        }
+    ],
+    "https://github.com/SuperBeastsAI/ComfyUI-SuperBeasts": [
+        [
+            "Deflicker - Experimental (SuperBeasts.AI)",
+            "HDR Effects (SuperBeasts.AI)",
+            "Image Batch Manager (SuperBeasts.AI)",
+            "Make Resized Mask Batch (SuperBeasts.AI)",
+            "Mask Batch Manager (SuperBeasts.AI)",
+            "Pixel Deflicker - Experimental (SuperBeasts.AI)",
+            "String List Manager (SuperBeasts.AI)"
+        ],
+        {
+            "title_aux": "ComfyUI-SuperBeasts"
+        }
+    ],
+    "https://github.com/SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers": [
+        [
+            "YOLO Classifier Model Loader",
+            "YOLO Classify"
+        ],
+        {
+            "title_aux": "ComfyUI_YOLO_Classifiers"
+        }
+    ],
+    "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes": [
+        [
+            "CR 8 Channel In",
+            "CR 8 Channel Out",
+            "CR Apply ControlNet",
+            "CR Apply LoRA Stack",
+            "CR Apply Model Merge",
+            "CR Apply Multi Upscale",
+            "CR Apply Multi-ControlNet",
+            "CR Arabic Text RTL",
+            "CR Aspect Ratio",
+            "CR Aspect Ratio Banners",
+            "CR Aspect Ratio SDXL",
+            "CR Aspect Ratio Social Media",
+            "CR Batch Images From List",
+            "CR Batch Process Switch",
+            "CR Binary Pattern",
+            "CR Binary To Bit List",
+            "CR Bit Schedule",
+            "CR Central Schedule",
+            "CR Checker Pattern",
+            "CR Clamp Value",
+            "CR Clip Input Switch",
+            "CR Color Bars",
+            "CR Color Gradient",
+            "CR Color Panel",
+            "CR Color Tint",
+            "CR Combine Prompt",
+            "CR Combine Schedules",
+            "CR Comic Panel Templates",
+            "CR Composite Text",
+            "CR Conditioning Input Switch",
+            "CR Conditioning Mixer",
+            "CR ControlNet Input Switch",
+            "CR Current Frame",
+            "CR Cycle Images",
+            "CR Cycle Images Simple",
+            "CR Cycle LoRAs",
+            "CR Cycle Models",
+            "CR Cycle Text",
+            "CR Cycle Text Simple",
+            "CR Data Bus In",
+            "CR Data Bus Out",
+            "CR Debatch Frames",
+            "CR Diamond Panel",
+            "CR Draw Perspective Text",
+            "CR Draw Pie",
+            "CR Draw Shape",
+            "CR Draw Text",
+            "CR Encode Scheduled Prompts",
+            "CR Feathered Border",
+            "CR Float Range List",
+            "CR Float To Integer",
+            "CR Float To String",
+            "CR Font File List",
+            "CR Get Parameter From Prompt",
+            "CR Gradient Float",
+            "CR Gradient Integer",
+            "CR Half Drop Panel",
+            "CR Halftone Filter",
+            "CR Halftone Grid",
+            "CR Hires Fix Process Switch",
+            "CR Image Border",
+            "CR Image Grid Panel",
+            "CR Image Input Switch",
+            "CR Image Input Switch (4 way)",
+            "CR Image List",
+            "CR Image List Simple",
+            "CR Image Output",
+            "CR Image Panel",
+            "CR Image Pipe Edit",
+            "CR Image Pipe In",
+            "CR Image Pipe Out",
+            "CR Image Size",
+            "CR Img2Img Process Switch",
+            "CR Increment Float",
+            "CR Increment Integer",
+            "CR Index",
+            "CR Index Increment",
+            "CR Index Multiply",
+            "CR Index Reset",
+            "CR Input Text List",
+            "CR Integer Multiple",
+            "CR Integer Range List",
+            "CR Integer To String",
+            "CR Interpolate Latents",
+            "CR Intertwine Lists",
+            "CR Keyframe List",
+            "CR Latent Batch Size",
+            "CR Latent Input Switch",
+            "CR LoRA List",
+            "CR LoRA Stack",
+            "CR Load Animation Frames",
+            "CR Load Flow Frames",
+            "CR Load GIF As List",
+            "CR Load Image List",
+            "CR Load Image List Plus",
+            "CR Load LoRA",
+            "CR Load Prompt Style",
+            "CR Load Schedule From File",
+            "CR Load Scheduled ControlNets",
+            "CR Load Scheduled LoRAs",
+            "CR Load Scheduled Models",
+            "CR Load Text List",
+            "CR Mask Text",
+            "CR Math Operation",
+            "CR Model Input Switch",
+            "CR Model List",
+            "CR Model Merge Stack",
+            "CR Module Input",
+            "CR Module Output",
+            "CR Module Pipe Loader",
+            "CR Multi Upscale Stack",
+            "CR Multi-ControlNet Stack",
+            "CR Multiline Text",
+            "CR Output Flow Frames",
+            "CR Output Schedule To File",
+            "CR Overlay Text",
+            "CR Overlay Transparent Image",
+            "CR Page Layout",
+            "CR Pipe Switch",
+            "CR Polygons",
+            "CR Prompt List",
+            "CR Prompt List Keyframes",
+            "CR Prompt Scheduler",
+            "CR Prompt Text",
+            "CR Radial Gradient",
+            "CR Random Hex Color",
+            "CR Random LoRA Stack",
+            "CR Random Multiline Colors",
+            "CR Random Multiline Values",
+            "CR Random Panel Codes",
+            "CR Random RGB",
+            "CR Random RGB Gradient",
+            "CR Random Shape Pattern",
+            "CR Random Weight LoRA",
+            "CR Repeater",
+            "CR SD1.5 Aspect Ratio",
+            "CR SDXL Aspect Ratio",
+            "CR SDXL Base Prompt Encoder",
+            "CR SDXL Prompt Mix Presets",
+            "CR SDXL Prompt Mixer",
+            "CR SDXL Style Text",
+            "CR Save Text To File",
+            "CR Schedule Input Switch",
+            "CR Schedule To ScheduleList",
+            "CR Seamless Checker",
+            "CR Seed",
+            "CR Seed to Int",
+            "CR Select Font",
+            "CR Select ISO Size",
+            "CR Select Model",
+            "CR Select Resize Method",
+            "CR Set Switch From String",
+            "CR Set Value On Binary",
+            "CR Set Value On Boolean",
+            "CR Set Value on String",
+            "CR Simple Banner",
+            "CR Simple Binary Pattern",
+            "CR Simple Binary Pattern Simple",
+            "CR Simple Image Compare",
+            "CR Simple List",
+            "CR Simple Meme Template",
+            "CR Simple Prompt List",
+            "CR Simple Prompt List Keyframes",
+            "CR Simple Prompt Scheduler",
+            "CR Simple Schedule",
+            "CR Simple Text Panel",
+            "CR Simple Text Scheduler",
+            "CR Simple Text Watermark",
+            "CR Simple Titles",
+            "CR Simple Value Scheduler",
+            "CR Split String",
+            "CR Starburst Colors",
+            "CR Starburst Lines",
+            "CR String To Boolean",
+            "CR String To Combo",
+            "CR String To Number",
+            "CR Style Bars",
+            "CR Switch Model and CLIP",
+            "CR Text",
+            "CR Text Blacklist",
+            "CR Text Concatenate",
+            "CR Text Cycler",
+            "CR Text Input Switch",
+            "CR Text Input Switch (4 way)",
+            "CR Text Length",
+            "CR Text List",
+            "CR Text List Simple",
+            "CR Text List To String",
+            "CR Text Operation",
+            "CR Text Replace",
+            "CR Text Scheduler",
+            "CR Thumbnail Preview",
+            "CR Trigger",
+            "CR Upscale Image",
+            "CR VAE Decode",
+            "CR VAE Input Switch",
+            "CR Value",
+            "CR Value Cycler",
+            "CR Value Scheduler",
+            "CR Vignette Filter",
+            "CR XY From Folder",
+            "CR XY Index",
+            "CR XY Interpolate",
+            "CR XY List",
+            "CR XY Product",
+            "CR XY Save Grid Image",
+            "CR XYZ Index",
+            "CR_Aspect Ratio For Print"
+        ],
+        {
+            "author": "Suzie1",
+            "description": "175 custom nodes for artists, designers and animators.",
+            "nickname": "Comfyroll Studio",
+            "title": "Comfyroll Studio",
+            "title_aux": "Comfyroll Studio"
+        }
+    ],
+    "https://github.com/Sxela/ComfyWarp": [
+        [
+            "ExtractOpticalFlow",
+            "LoadFrame",
+            "LoadFrameFromDataset",
+            "LoadFrameFromFolder",
+            "LoadFramePairFromDataset",
+            "LoadFrameSequence",
+            "MakeFrameDataset",
+            "MixConsistencyMaps",
+            "OffsetNumber",
+            "ResizeToFit",
+            "SaveFrame",
+            "WarpFrame"
+        ],
+        {
+            "title_aux": "ComfyWarp"
+        }
+    ],
+    "https://github.com/TGu-97/ComfyUI-TGu-utils": [
+        [
+            "MPNReroute",
+            "MPNSwitch",
+            "PNSwitch"
+        ],
+        {
+            "title_aux": "TGu Utilities"
+        }
+    ],
+    "https://github.com/THtianhao/ComfyUI-FaceChain": [
+        [
+            "FC CropAndPaste",
+            "FC CropBottom",
+            "FC CropToOrigin",
+            "FC FaceDetectCrop",
+            "FC FaceFusion",
+            "FC FaceSegAndReplace",
+            "FC FaceSegment",
+            "FC MaskOP",
+            "FC RemoveCannyFace",
+            "FC ReplaceByMask",
+            "FC StyleLoraLoad"
+        ],
+        {
+            "title_aux": "ComfyUI-FaceChain"
+        }
+    ],
+    "https://github.com/THtianhao/ComfyUI-Portrait-Maker": [
+        [
+            "PM_BoxCropImage",
+            "PM_ColorTransfer",
+            "PM_ExpandMaskBox",
+            "PM_FaceFusion",
+            "PM_FaceShapMatch",
+            "PM_FaceSkin",
+            "PM_GetImageInfo",
+            "PM_ImageResizeTarget",
+            "PM_ImageScaleShort",
+            "PM_MakeUpTransfer",
+            "PM_MaskDilateErode",
+            "PM_MaskMerge2Image",
+            "PM_PortraitEnhancement",
+            "PM_RatioMerge2Image",
+            "PM_ReplaceBoxImg",
+            "PM_RetinaFace",
+            "PM_Similarity",
+            "PM_SkinRetouching",
+            "PM_SuperColorTransfer",
+            "PM_SuperMakeUpTransfer"
+        ],
+        {
+            "title_aux": "ComfyUI-Portrait-Maker"
+        }
+    ],
+    "https://github.com/TJ16th/comfyUI_TJ_NormalLighting": [
+        [
+            "EulerLightingNode"
+        ],
+        {
+            "title_aux": "comfyUI_TJ_NormalLighting"
+        }
+    ],
+    "https://github.com/TMElyralab/Comfyui-MusePose": [
+        [
+            "filenamestring",
+            "musepose",
+            "museposealign"
+        ],
+        {
+            "title_aux": "Comfyui-MusePose"
+        }
+    ],
+    "https://github.com/TRI3D-LC/ComfyUI-MiroBoard": [
+        [
+            "add-image-miro-board"
+        ],
+        {
+            "title_aux": "ComfyUI-MiroBoard"
+        }
+    ],
+    "https://github.com/TRI3D-LC/tri3d-comfyui-nodes": [
+        [
+            "get_histogram_limits",
+            "main_light_layer",
+            "main_scaled_paste",
+            "simple_rescale_histogram",
+            "tri3d-HistogramEqualization",
+            "tri3d-LAB_2_RGB",
+            "tri3d-RGB_2_LAB",
+            "tri3d-adjust-neck",
+            "tri3d-atr-parse",
+            "tri3d-atr-parse-batch",
+            "tri3d-bgremove-mega",
+            "tri3d-clean_mask",
+            "tri3d-clear-memory",
+            "tri3d-clipdrop-bgremove-api",
+            "tri3d-clipdrop-bgreplace-api",
+            "tri3d-composite-image-splitter",
+            "tri3d-dwpose",
+            "tri3d-extract-hand",
+            "tri3d-extract-masks-batch",
+            "tri3d-extract-parts-batch",
+            "tri3d-extract-parts-batch2",
+            "tri3d-extract-parts-mask-batch",
+            "tri3d-extract-pascal-parts-batch",
+            "tri3d-extract_pose_part",
+            "tri3d-face-recognise",
+            "tri3d-flexible_color_extract",
+            "tri3d-float-to-image",
+            "tri3d-fuzzification",
+            "tri3d-get_histogram_limits",
+            "tri3d-get_mean_and_standard_deviation",
+            "tri3d-get_threshold_for_bg_swap",
+            "tri3d-image-mask-2-box",
+            "tri3d-image-mask-box-2-image",
+            "tri3d-interaction-canny",
+            "tri3d-levindabhi-cloth-seg",
+            "tri3d-load-pose-json",
+            "tri3d-load_AEMatter_Model",
+            "tri3d-luminosity-match",
+            "tri3d-main_transparent_background",
+            "tri3d-photoroom-bgremove-api",
+            "tri3d-pose-adaption",
+            "tri3d-pose-to-image",
+            "tri3d-position-hands",
+            "tri3d-position-parts-batch",
+            "tri3d-position-pascal-parts-batch",
+            "tri3d-recolor-mask",
+            "tri3d-recolor-mask-LAB_space",
+            "tri3d-recolor-mask-LAB_space_manual",
+            "tri3d-recolor-mask-RGB_space",
+            "tri3d-renormalize_array",
+            "tri3d-run_AEMatter_inference",
+            "tri3d-scaled-paste",
+            "tri3d-scaled-paste_unsafe",
+            "tri3d-simple_bg_swap",
+            "tri3d-simple_rescale_histogram",
+            "tri3d-skin-feathered-padded-mask",
+            "tri3d-swap-pixels",
+            "tri3d_extract_facer_mask",
+            "tri3d_fill_mask",
+            "tri3d_is_only_trouser",
+            "tri3d_position_pose_part"
+        ],
+        {
+            "title_aux": "tri3d-comfyui-nodes"
+        }
+    ],
+    "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor": [
+        [
+            "TTPlanet_Tile_Preprocessor_GF",
+            "TTPlanet_Tile_Preprocessor_Simple",
+            "TTPlanet_Tile_Preprocessor_cufoff",
+            "TTPlanet_inpainting_Preprecessor"
+        ],
+        {
+            "title_aux": "for comfyui image proprocessor"
+        }
+    ],
+    "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset": [
+        [
+            "TTP_CoordinateSplitter",
+            "TTP_Image_Assy",
+            "TTP_Image_Tile_Batch",
+            "TTP_Tile_image_size",
+            "TTP_condsetarea_merge",
+            "TTP_condtobatch",
+            "TTPlanet_Tile_Preprocessor_Simple"
+        ],
+        {
+            "title_aux": "Comfyui_TTP_Toolset"
+        }
+    ],
+    "https://github.com/TW-CUI/TW-CUI-Util": [
+        [
+            "TWCUI_Util_CommonSDXLResolutions",
+            "TWCUI_Util_FloatLiteral",
+            "TWCUI_Util_GenerationParameters",
+            "TWCUI_Util_GenerationPrompts",
+            "TWCUI_Util_IntLiteral",
+            "TWCUI_Util_ModelVAELORALoader",
+            "TWCUI_Util_ModelVAELoader",
+            "TWCUI_Util_MultilineStringLiteral",
+            "TWCUI_Util_SaveImage",
+            "TWCUI_Util_SaveImageAdvanced",
+            "TWCUI_Util_StringLiteral"
+        ],
+        {
+            "title_aux": "TW-CUI-Util"
+        }
+    ],
+    "https://github.com/TaiTair/comfyui-simswap": [
+        [
+            "Simswap",
+            "SimswapBuildFaceModel",
+            "SimswapFaceSwapOpt",
+            "SimswapImageDublicator",
+            "SimswapLoadFaceModel",
+            "SimswapMaskHelper",
+            "SimswapOptions",
+            "SimswapRestoreFace",
+            "SimswapSaveFaceModel"
+        ],
+        {
+            "title_aux": "Simswap Node for ComfyUI"
+        }
+    ],
+    "https://github.com/Taremin/comfyui-prompt-extranetworks": [
+        [
+            "PromptExtraNetworks"
+        ],
+        {
+            "title_aux": "ComfyUI Prompt ExtraNetworks"
+        }
+    ],
+    "https://github.com/Taremin/comfyui-string-tools": [
+        [
+            "StringToolsBalancedChoice",
+            "StringToolsConcat",
+            "StringToolsRandomChoice",
+            "StringToolsString",
+            "StringToolsText"
+        ],
+        {
+            "title_aux": "ComfyUI String Tools"
+        }
+    ],
+    "https://github.com/Taremin/webui-monaco-prompt": [
+        [
+            "WebuiMonacoPromptFind",
+            "WebuiMonacoPromptReplace"
+        ],
+        {
+            "title_aux": "WebUI Monaco Prompt"
+        }
+    ],
+    "https://github.com/TeaCrab/ComfyUI-TeaNodes": [
+        [
+            "TC_ColorFill",
+            "TC_CropTo",
+            "TC_EqualizeCLAHE",
+            "TC_ImageResize",
+            "TC_ImageScale",
+            "TC_KorniaGamma",
+            "TC_RandomColorFill",
+            "TC_SizeApproximation"
+        ],
+        {
+            "title_aux": "ComfyUI-TeaNodes"
+        }
+    ],
+    "https://github.com/TechnoByteJS/ComfyUI-TechNodes": [
+        [
+            "ClipQuant",
+            "MBW Layers String",
+            "ModelQuant",
+            "SD1 MBW Layers",
+            "SD1 MBW Layers Binary",
+            "SDNext Merge",
+            "SDXL MBW Layers",
+            "SDXL MBW Layers Binary",
+            "VAE Merge",
+            "VAEQuant",
+            "VAERepeat"
+        ],
+        {
+            "title_aux": "TechNodes"
+        }
+    ],
+    "https://github.com/TemryL/ComfyS3": [
+        [
+            "DownloadFileS3",
+            "LoadImageS3",
+            "SaveImageS3",
+            "SaveVideoFilesS3",
+            "UploadFileS3"
+        ],
+        {
+            "title_aux": "ComfyS3"
+        }
+    ],
+    "https://github.com/TemryL/ComfyUI-IDM-VTON": [
+        [
+            "IDM-VTON",
+            "PipelineLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-IDM-VTON [WIP]"
+        }
+    ],
+    "https://github.com/TencentQQGYLab/ComfyUI-ELLA": [
+        [
+            "CombineClipEllaEmbeds",
+            "ConcatConditionEllaEmbeds",
+            "ConditionToEllaEmbeds",
+            "ELLALoader",
+            "EllaApply",
+            "EllaCombineEmbeds",
+            "EllaEncode",
+            "EllaTextEncode",
+            "SetEllaTimesteps",
+            "T5TextEncode #ELLA",
+            "T5TextEncoderLoader #ELLA"
+        ],
+        {
+            "title_aux": "ComfyUI-ELLA"
+        }
+    ],
+    "https://github.com/TheBarret/ZSuite": [
+        [
+            "ZSuite: Prompter",
+            "ZSuite: RF Noise",
+            "ZSuite: SeedMod"
+        ],
+        {
+            "title_aux": "ZSuite"
+        }
+    ],
+    "https://github.com/TheBill2001/comfyui-upscale-by-model": [
+        [
+            "UpscaleImageByUsingModel"
+        ],
+        {
+            "author": "Tr\u1ea7n Nam Tu\u1ea5n",
+            "description": "This custom node allow upscaling an image by a factor using a model.",
+            "nickname": "Upscale Image By (Using Model)",
+            "title": "Upscale Image By (Using Model)",
+            "title_aux": "comfyui-upscale-by-model"
+        }
+    ],
+    "https://github.com/TheMistoAI/ComfyUI-Anyline": [
+        [
+            "AnyLinePreprocessor"
+        ],
+        {
+            "title_aux": "Anyline"
+        }
+    ],
+    "https://github.com/ThereforeGames/ComfyUI-Unprompted": [
+        [
+            "Unprompted"
+        ],
+        {
+            "title_aux": "ComfyUI-Unprompted"
+        }
+    ],
+    "https://github.com/TinyTerra/ComfyUI_tinyterraNodes": [
+        [
+            "ttN KSampler_v2",
+            "ttN advPlot combo",
+            "ttN advPlot range",
+            "ttN advPlot string",
+            "ttN advanced xyPlot",
+            "ttN compareInput",
+            "ttN concat",
+            "ttN conditioning",
+            "ttN debugInput",
+            "ttN float",
+            "ttN hiresfixScale",
+            "ttN imageOutput",
+            "ttN imageREMBG",
+            "ttN int",
+            "ttN multiModelMerge",
+            "ttN pipe2BASIC",
+            "ttN pipe2DETAILER",
+            "ttN pipeEDIT",
+            "ttN pipeEncodeConcat",
+            "ttN pipeIN",
+            "ttN pipeKSampler",
+            "ttN pipeKSamplerAdvanced",
+            "ttN pipeKSamplerAdvanced_v2",
+            "ttN pipeKSamplerSDXL",
+            "ttN pipeKSamplerSDXL_v2",
+            "ttN pipeKSampler_v2",
+            "ttN pipeLoader",
+            "ttN pipeLoaderSDXL",
+            "ttN pipeLoaderSDXL_v2",
+            "ttN pipeLoader_v2",
+            "ttN pipeLoraStack",
+            "ttN pipeOUT",
+            "ttN seed",
+            "ttN text",
+            "ttN text3BOX_3WAYconcat",
+            "ttN text7BOX_concat",
+            "ttN textCycleLine",
+            "ttN textDebug",
+            "ttN textOutput",
+            "ttN tinyLoader",
+            "ttN xyPlot"
+        ],
+        {
+            "author": "tinyterra",
+            "description": "This extension offers extensive xyPlot, various pipe nodes, fullscreen image viewer based on node history, dynamic widgets, interface customization, and more.",
+            "nickname": "\ud83c\udf0f",
+            "nodename_pattern": "^ttN ",
+            "title": "tinyterraNodes",
+            "title_aux": "ComfyUI_tinyterraNodes"
+        }
+    ],
+    "https://github.com/TripleHeadedMonkey/ComfyUI_MileHighStyler": [
+        [
+            "menus"
+        ],
+        {
+            "title_aux": "ComfyUI_MileHighStyler"
+        }
+    ],
+    "https://github.com/Tropfchen/ComfyUI-Embedding_Picker": [
+        [
+            "EmbeddingPicker"
+        ],
+        {
+            "title_aux": "Embedding Picker"
+        }
+    ],
+    "https://github.com/Tropfchen/ComfyUI-yaResolutionSelector": [
+        [
+            "YARS",
+            "YARSAdv"
+        ],
+        {
+            "title_aux": "YARS: Yet Another Resolution Selector"
+        }
+    ],
+    "https://github.com/Trung0246/ComfyUI-0246": [
+        [
+            "0246.Beautify",
+            "0246.BoxRange",
+            "0246.CastReroute",
+            "0246.Cloud",
+            "0246.Count",
+            "0246.Highway",
+            "0246.HighwayBatch",
+            "0246.Hold",
+            "0246.Hub",
+            "0246.Junction",
+            "0246.JunctionBatch",
+            "0246.Loop",
+            "0246.Merge",
+            "0246.Meta",
+            "0246.RandomInt",
+            "0246.Script",
+            "0246.ScriptNode",
+            "0246.ScriptPile",
+            "0246.ScriptRule",
+            "0246.Stringify",
+            "0246.Switch",
+            "0246.Tag"
+        ],
+        {
+            "author": "Trung0246",
+            "description": "Random nodes for ComfyUI I made to solve my struggle with ComfyUI (ex: pipe, process). Have varying quality.",
+            "nickname": "ComfyUI-0246",
+            "title": "ComfyUI-0246",
+            "title_aux": "ComfyUI-0246"
+        }
+    ],
+    "https://github.com/Ttl/ComfyUi_NNLatentUpscale": [
+        [
+            "NNLatentUpscale"
+        ],
+        {
+            "preemptions": [
+                "NNLatentUpscale"
+            ],
+            "title_aux": "ComfyUI Neural Network Latent Upscale"
+        }
+    ],
+    "https://github.com/TylerZoro/SD3-Scaling": [
+        [
+            "SD3ImageScaleToTotalPixels"
+        ],
+        {
+            "title_aux": "SD3-Scaling"
+        }
+    ],
+    "https://github.com/Umikaze-job/select_folder_path_easy": [
+        [
+            "SelectFolderPathEasy"
+        ],
+        {
+            "title_aux": "select_folder_path_easy"
+        }
+    ],
+    "https://github.com/VAST-AI-Research/ComfyUI-Tripo": [
+        [
+            "TripoAPIDraft",
+            "TripoAnimateRetargetNode",
+            "TripoAnimateRigNode",
+            "TripoGLBViewer",
+            "TripoRefineModel"
+        ],
+        {
+            "title_aux": "Tripo for ComfyUI"
+        }
+    ],
+    "https://github.com/Visionatrix/ComfyUI-Visionatrix": [
+        [
+            "VixUiCheckbox",
+            "VixUiCheckboxLogic",
+            "VixUiList",
+            "VixUiListLogic",
+            "VixUiPrompt",
+            "VixUiRangeFloat",
+            "VixUiRangeInt",
+            "VixUiRangeScaleFloat",
+            "VixUiWorkflowMetadata"
+        ],
+        {
+            "title_aux": "ComfyUI-Visionatrix"
+        }
+    ],
+    "https://github.com/WASasquatch/ASTERR": [
+        [
+            "ASTERR",
+            "SaveASTERR"
+        ],
+        {
+            "title_aux": "ASTERR"
+        }
+    ],
+    "https://github.com/WASasquatch/ComfyUI_Preset_Merger": [
+        [
+            "Preset_Model_Merge"
+        ],
+        {
+            "title_aux": "ComfyUI Preset Merger"
+        }
+    ],
+    "https://github.com/WASasquatch/FreeU_Advanced": [
+        [
+            "FreeU (Advanced)",
+            "FreeU_V2 (Advanced)"
+        ],
+        {
+            "title_aux": "FreeU_Advanced"
+        }
+    ],
+    "https://github.com/WASasquatch/PPF_Noise_ComfyUI": [
+        [
+            "Blend Latents (PPF Noise)",
+            "Cross-Hatch Power Fractal (PPF Noise)",
+            "Images as Latents (PPF Noise)",
+            "Perlin Power Fractal Latent (PPF Noise)"
+        ],
+        {
+            "title_aux": "PPF_Noise_ComfyUI"
+        }
+    ],
+    "https://github.com/WASasquatch/PowerNoiseSuite": [
+        [
+            "Blend Latents (PPF Noise)",
+            "Cross-Hatch Power Fractal (PPF Noise)",
+            "Cross-Hatch Power Fractal Settings (PPF Noise)",
+            "Images as Latents (PPF Noise)",
+            "Latent Adjustment (PPF Noise)",
+            "Latents to CPU (PPF Noise)",
+            "Linear Cross-Hatch Power Fractal (PPF Noise)",
+            "Perlin Power Fractal Latent (PPF Noise)",
+            "Perlin Power Fractal Settings (PPF Noise)",
+            "Power KSampler Advanced (PPF Noise)",
+            "Power-Law Noise (PPF Noise)"
+        ],
+        {
+            "title_aux": "Power Noise Suite for ComfyUI"
+        }
+    ],
+    "https://github.com/WASasquatch/WAS_Extras": [
+        [
+            "BLVAEEncode",
+            "CLIPTextEncodeList",
+            "CLIPTextEncodeSequence2",
+            "ConditioningBlend",
+            "DebugInput",
+            "KSamplerSeq",
+            "KSamplerSeq2",
+            "VAEEncodeForInpaint (WAS)",
+            "VividSharpen"
+        ],
+        {
+            "title_aux": "WAS_Extras"
+        }
+    ],
+    "https://github.com/WASasquatch/was-node-suite-comfyui": [
+        [
+            "BLIP Analyze Image",
+            "BLIP Model Loader",
+            "Blend Latents",
+            "Boolean To Text",
+            "Bounded Image Blend",
+            "Bounded Image Blend with Mask",
+            "Bounded Image Crop",
+            "Bounded Image Crop with Mask",
+            "Bus Node",
+            "CLIP Input Switch",
+            "CLIP Vision Input Switch",
+            "CLIPSEG2",
+            "CLIPSeg Batch Masking",
+            "CLIPSeg Masking",
+            "CLIPSeg Model Loader",
+            "CLIPTextEncode (BlenderNeko Advanced + NSP)",
+            "CLIPTextEncode (NSP)",
+            "Cache Node",
+            "Checkpoint Loader",
+            "Checkpoint Loader (Simple)",
+            "Conditioning Input Switch",
+            "Constant Number",
+            "Control Net Model Input Switch",
+            "Convert Masks to Images",
+            "Create Grid Image",
+            "Create Grid Image from Batch",
+            "Create Morph Image",
+            "Create Morph Image from Path",
+            "Create Video from Path",
+            "Debug Number to Console",
+            "Dictionary to Console",
+            "Diffusers Hub Model Down-Loader",
+            "Diffusers Model Loader",
+            "Export API",
+            "HSL to Hex",
+            "Hex to HSL",
+            "Image Analyze",
+            "Image Aspect Ratio",
+            "Image Batch",
+            "Image Blank",
+            "Image Blend",
+            "Image Blend by Mask",
+            "Image Blending Mode",
+            "Image Bloom Filter",
+            "Image Bounds",
+            "Image Bounds to Console",
+            "Image Canny Filter",
+            "Image Chromatic Aberration",
+            "Image Color Palette",
+            "Image Crop Face",
+            "Image Crop Location",
+            "Image Crop Square Location",
+            "Image Displacement Warp",
+            "Image Dragan Photography Filter",
+            "Image Edge Detection Filter",
+            "Image Film Grain",
+            "Image Filter Adjustments",
+            "Image Flip",
+            "Image Generate Gradient",
+            "Image Gradient Map",
+            "Image High Pass Filter",
+            "Image History Loader",
+            "Image Input Switch",
+            "Image Levels Adjustment",
+            "Image Load",
+            "Image Lucy Sharpen",
+            "Image Median Filter",
+            "Image Mix RGB Channels",
+            "Image Monitor Effects Filter",
+            "Image Nova Filter",
+            "Image Padding",
+            "Image Paste Crop",
+            "Image Paste Crop by Location",
+            "Image Paste Face",
+            "Image Perlin Noise",
+            "Image Perlin Power Fractal",
+            "Image Pixelate",
+            "Image Power Noise",
+            "Image Rembg (Remove Background)",
+            "Image Remove Background (Alpha)",
+            "Image Remove Color",
+            "Image Resize",
+            "Image Rotate",
+            "Image Rotate Hue",
+            "Image SSAO (Ambient Occlusion)",
+            "Image SSDO (Direct Occlusion)",
+            "Image Save",
+            "Image Seamless Texture",
+            "Image Select Channel",
+            "Image Select Color",
+            "Image Send HTTP",
+            "Image Shadows and Highlights",
+            "Image Size to Number",
+            "Image Stitch",
+            "Image Style Filter",
+            "Image Threshold",
+            "Image Tiled",
+            "Image Transpose",
+            "Image Voronoi Noise Filter",
+            "Image fDOF Filter",
+            "Image to Latent Mask",
+            "Image to Noise",
+            "Image to Seed",
+            "Images to Linear",
+            "Images to RGB",
+            "Inset Image Bounds",
+            "Integer place counter",
+            "KSampler (WAS)",
+            "KSampler Cycle",
+            "Latent Batch",
+            "Latent Input Switch",
+            "Latent Noise Injection",
+            "Latent Size to Number",
+            "Latent Upscale by Factor (WAS)",
+            "Load Cache",
+            "Load Image Batch",
+            "Load Lora",
+            "Load Text File",
+            "Logic Boolean",
+            "Logic Boolean Primitive",
+            "Logic Comparison AND",
+            "Logic Comparison OR",
+            "Logic Comparison XOR",
+            "Logic NOT",
+            "Lora Input Switch",
+            "Lora Loader",
+            "Mask Arbitrary Region",
+            "Mask Batch",
+            "Mask Batch to Mask",
+            "Mask Ceiling Region",
+            "Mask Crop Dominant Region",
+            "Mask Crop Minority Region",
+            "Mask Crop Region",
+            "Mask Dilate Region",
+            "Mask Dominant Region",
+            "Mask Erode Region",
+            "Mask Fill Holes",
+            "Mask Floor Region",
+            "Mask Gaussian Region",
+            "Mask Invert",
+            "Mask Minority Region",
+            "Mask Paste Region",
+            "Mask Smooth Region",
+            "Mask Threshold Region",
+            "Masks Add",
+            "Masks Combine Batch",
+            "Masks Combine Regions",
+            "Masks Subtract",
+            "MiDaS Depth Approximation",
+            "MiDaS Mask Image",
+            "MiDaS Model Loader",
+            "Model Input Switch",
+            "Number Counter",
+            "Number Input Condition",
+            "Number Input Switch",
+            "Number Multiple Of",
+            "Number Operation",
+            "Number PI",
+            "Number to Float",
+            "Number to Int",
+            "Number to Seed",
+            "Number to String",
+            "Number to Text",
+            "Prompt Multiple Styles Selector",
+            "Prompt Styles Selector",
+            "Random Number",
+            "SAM Image Mask",
+            "SAM Model Loader",
+            "SAM Parameters",
+            "SAM Parameters Combine",
+            "Samples Passthrough (Stat System)",
+            "Save Text File",
+            "Seed",
+            "String to Text",
+            "Tensor Batch to Image",
+            "Text Add Token by Input",
+            "Text Add Tokens",
+            "Text Compare",
+            "Text Concatenate",
+            "Text Contains",
+            "Text Dictionary Convert",
+            "Text Dictionary Get",
+            "Text Dictionary Keys",
+            "Text Dictionary New",
+            "Text Dictionary To Text",
+            "Text Dictionary Update",
+            "Text File History Loader",
+            "Text Find",
+            "Text Find and Replace",
+            "Text Find and Replace Input",
+            "Text Find and Replace by Dictionary",
+            "Text Input Switch",
+            "Text List",
+            "Text List Concatenate",
+            "Text List to Text",
+            "Text Load Line From File",
+            "Text Multiline",
+            "Text Multiline (Code Compatible)",
+            "Text Parse A1111 Embeddings",
+            "Text Parse Noodle Soup Prompts",
+            "Text Parse Tokens",
+            "Text Random Line",
+            "Text Random Prompt",
+            "Text Shuffle",
+            "Text Sort",
+            "Text String",
+            "Text String Truncate",
+            "Text to Conditioning",
+            "Text to Console",
+            "Text to Number",
+            "Text to String",
+            "True Random.org Number Generator",
+            "Upscale Model Loader",
+            "Upscale Model Switch",
+            "VAE Input Switch",
+            "Video Dump Frames",
+            "Write to GIF",
+            "Write to Video",
+            "unCLIP Checkpoint Loader"
+        ],
+        {
+            "title_aux": "WAS Node Suite"
+        }
+    ],
+    "https://github.com/WX-NPS1598/ComfyUI-Auto_Crop_By_NPS": [
+        [
+            "AutoCropByNPS"
+        ],
+        {
+            "title_aux": "Auto Crop By NPS"
+        }
+    ],
+    "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD": [
+        [
+            "InstaCBoolean",
+            "InstaCFloat",
+            "InstaCInteger",
+            "InstaCSeed",
+            "InstaCText",
+            "InstaCTextML"
+        ],
+        {
+            "title_aux": "InstaSD nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/WebDev9000/WebDev9000-Nodes": [
+        [
+            "IgnoreBraces",
+            "SettingsSwitch"
+        ],
+        {
+            "title_aux": "WebDev9000-Nodes"
+        }
+    ],
+    "https://github.com/Wicloz/ComfyUI-Simply-Nodes": [
+        [
+            "WF_ConditionalLoraLoader",
+            "WF_MultilineText",
+            "WF_RandomStyle",
+            "WF_ResolutionSDXL",
+            "WF_TextFlow"
+        ],
+        {
+            "title_aux": "ComfyUI Simply Nodes"
+        }
+    ],
+    "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes": [
+        [
+            "CheckpointLoaderSimpleWithPreviews",
+            "CivitaiCheckpointLoaderSimple",
+            "CivitaiLoraLoader",
+            "CivitaiLoraLoaderStacked",
+            "CivitaiLoraLoaderStackedAdvanced",
+            "LoraLoaderStackedAdvancedWithPreviews",
+            "LoraLoaderStackedWithPreviews",
+            "LoraLoaderWithPreviews"
+        ],
+        {
+            "title_aux": "ComfyUI Easy Civitai (XTNodes)"
+        }
+    ],
+    "https://github.com/XLabs-AI/x-flux-comfyui": [
+        [
+            "ApplyAdvancedFluxIPAdapter",
+            "ApplyFluxControlNet",
+            "ApplyFluxIPAdapter",
+            "FluxLoraLoader",
+            "LoadFluxControlNet",
+            "LoadFluxIPAdapter",
+            "XlabsSampler"
+        ],
+        {
+            "title_aux": "x-flux-comfyui"
+        }
+    ],
+    "https://github.com/Xclbr7/ComfyUI-Merlin": [
+        [
+            "GeminiPromptExpander",
+            "Magic Photo Prompter \ud83e\ude84"
+        ],
+        {
+            "title_aux": "ComfyUI-Merlin: Magic Photo Prompter"
+        }
+    ],
+    "https://github.com/XmYx/deforum-comfy-nodes": [
+        [
+            "DeforumAddNoiseNode",
+            "DeforumAnimParamsNode",
+            "DeforumAreaPromptNode",
+            "DeforumBaseParamsNode",
+            "DeforumCacheLatentNode",
+            "DeforumCadenceNode",
+            "DeforumCadenceParamsNode",
+            "DeforumColorMatchNode",
+            "DeforumColorParamsNode",
+            "DeforumConditioningBlendNode",
+            "DeforumDepthParamsNode",
+            "DeforumDiffusionParamsNode",
+            "DeforumFILMInterpolationNode",
+            "DeforumFrameWarpNode",
+            "DeforumGetCachedLatentNode",
+            "DeforumHybridMotionNode",
+            "DeforumHybridParamsNode",
+            "DeforumHybridScheduleNode",
+            "DeforumIteratorNode",
+            "DeforumKSampler",
+            "DeforumLoadVideo",
+            "DeforumNoiseParamsNode",
+            "DeforumPromptNode",
+            "DeforumSeedNode",
+            "DeforumSetVAEDownscaleRatioNode",
+            "DeforumSimpleInterpolationNode",
+            "DeforumSingleSampleNode",
+            "DeforumTranslationParamsNode",
+            "DeforumVideoSaveNode"
+        ],
+        {
+            "title_aux": "Deforum Nodes"
+        }
+    ],
+    "https://github.com/Xyem/Xycuno-Oobabooga": [
+        [
+            "Oobabooga"
+        ],
+        {
+            "title_aux": "Xycuno Oobabooga"
+        }
+    ],
+    "https://github.com/YMC-GitHub/ymc-node-suite-comfyui": [
+        [
+            "canvas-util-cal-size",
+            "conditioning-util-input-switch",
+            "cutoff-region-util",
+            "hks-util-cal-denoise-step",
+            "img-util-get-image-size",
+            "img-util-switch-input-image",
+            "io-image-save",
+            "io-text-save",
+            "io-util-file-list-get",
+            "io-util-file-list-get-text",
+            "number-util-random-num",
+            "pipe-util-to-basic-pipe",
+            "region-util-get-by-center-and-size",
+            "region-util-get-by-lt",
+            "region-util-get-crop-location-from-center-size-text",
+            "region-util-get-pad-out-location-by-size",
+            "text-preset-colors",
+            "text-util-join-text",
+            "text-util-loop-text",
+            "text-util-path-list",
+            "text-util-prompt-add-prompt",
+            "text-util-prompt-adv-dup",
+            "text-util-prompt-adv-search",
+            "text-util-prompt-del",
+            "text-util-prompt-dup",
+            "text-util-prompt-join",
+            "text-util-prompt-search",
+            "text-util-prompt-shuffle",
+            "text-util-prompt-std",
+            "text-util-prompt-unweight",
+            "text-util-random-text",
+            "text-util-search-text",
+            "text-util-show-text",
+            "text-util-switch-text",
+            "xyz-util-txt-to-int"
+        ],
+        {
+            "title_aux": "ymc-node-suite-comfyui"
+        }
+    ],
+    "https://github.com/YOUR-WORST-TACO/ComfyUI-TacoNodes": [
+        [
+            "Example",
+            "TacoAnimatedLoader",
+            "TacoGifMaker",
+            "TacoImg2ImgAnimatedLoader",
+            "TacoImg2ImgAnimatedProcessor",
+            "TacoLatent"
+        ],
+        {
+            "title_aux": "ComfyUI-TacoNodes"
+        }
+    ],
+    "https://github.com/Yanick112/ComfyUI-ToSVG": [
+        [
+            "ConvertRasterToVector",
+            "SaveSVG"
+        ],
+        {
+            "title_aux": "ComfyUI-ToSVG"
+        }
+    ],
+    "https://github.com/YinBailiang/MergeBlockWeighted_fo_ComfyUI": [
+        [
+            "MergeBlockWeighted"
+        ],
+        {
+            "title_aux": "MergeBlockWeighted_fo_ComfyUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-APISR": [
+        [
+            "APISR_Lterative_Zho",
+            "APISR_ModelLoader_Zho",
+            "APISR_Zho"
+        ],
+        {
+            "title_aux": "APISR IN COMFYUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Animated-optical-illusions": [
+        [
+            "AOI_Processing_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Animated-optical-illusions"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-ArtGallery": [
+        [
+            "ArtGallery_Zho",
+            "ArtistsImage_Zho",
+            "CamerasImage_Zho",
+            "FilmsImage_Zho",
+            "MovementsImage_Zho",
+            "StylesImage_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-ArtGallery"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG": [
+        [
+            "BRIA_RMBG_ModelLoader_Zho",
+            "BRIA_RMBG_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-BRIA_AI-RMBG"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BiRefNet-ZHO": [
+        [
+            "BiRefNet_ModelLoader_Zho",
+            "BiRefNet_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-BiRefNet-ZHO"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM": [
+        [
+            "DepthFM_Literative_Zho",
+            "DepthFM_ModelLoader_Zho",
+            "DepthFM_Zho"
+        ],
+        {
+            "title_aux": "DepthFM IN COMFYUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Gemini": [
+        [
+            "ConcatText_Zho",
+            "DisplayText_Zho",
+            "Gemini_15P_API_S_Advance_Zho",
+            "Gemini_15P_API_S_Chat_Advance_Zho",
+            "Gemini_API_Chat_Zho",
+            "Gemini_API_S_Chat_Zho",
+            "Gemini_API_S_Vsion_ImgURL_Zho",
+            "Gemini_API_S_Zho",
+            "Gemini_API_Vsion_ImgURL_Zho",
+            "Gemini_API_Zho",
+            "Gemini_FileUpload_API_S_Zho",
+            "Gemini_File_API_S_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Gemini"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID": [
+        [
+            "IDBaseModelLoader_fromhub",
+            "IDBaseModelLoader_local",
+            "IDControlNetLoader",
+            "IDGenerationNode",
+            "ID_Prompt_Styler",
+            "InsightFaceLoader_Zho",
+            "Ipadapter_instantidLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-InstantID"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Phi-3-mini": [
+        [
+            "Phi3mini_4k_Chat_Zho",
+            "Phi3mini_4k_ModelLoader_Zho",
+            "Phi3mini_4k_Zho"
+        ],
+        {
+            "title_aux": "Phi-3-mini in ComfyUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PhotoMaker-ZHO": [
+        [
+            "BaseModel_Loader_fromhub",
+            "BaseModel_Loader_local",
+            "LoRALoader",
+            "NEW_PhotoMaker_Generation",
+            "PhotoMakerAdapter_Loader_fromhub",
+            "PhotoMakerAdapter_Loader_local",
+            "PhotoMaker_Generation",
+            "Prompt_Styler",
+            "Ref_Image_Preprocessing"
+        ],
+        {
+            "title_aux": "ComfyUI PhotoMaker (ZHO)"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PixArt-alpha-Diffusers": [
+        [
+            "PA_BaseModelLoader_fromhub_Zho",
+            "PA_Generation_Zho",
+            "PA_Styler_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-PixArt-alpha-Diffusers"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Q-Align": [
+        [
+            "QAlign_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Q-Align"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-2": [
+        [
+            "Qwen2_Chat_Zho",
+            "Qwen2_ModelLoader_Zho",
+            "Qwen2_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Qwen-2"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API": [
+        [
+            "QWenVL_API_S_Multi_Zho",
+            "QWenVL_API_S_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Qwen-VL-API"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO": [
+        [
+            "SVD_Aspect_Ratio_Zho",
+            "SVD_Steps_MotionStrength_Seed_Zho",
+            "SVD_Styler_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-SVD-ZHO (WIP)"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE": [
+        [
+            "SMoE_Generation_Zho",
+            "SMoE_ModelLoader_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI SegMoE"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Text_Image-Composite": [
+        [
+            "AlphaChanelAddByMask",
+            "ImageCompositeBy_BG_Zho",
+            "ImageCompositeBy_Zho",
+            "ImageComposite_BG_Zho",
+            "ImageComposite_Zho",
+            "RGB_Image_Zho",
+            "Text_Image_Frame_Zho",
+            "Text_Image_Multiline_Zho",
+            "Text_Image_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Text_Image-Composite [WIP]"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-UltraEdit-ZHO": [
+        [
+            "UltraEdit_Generation_Zho",
+            "UltraEdit_ModelLoader_Zho",
+            "UltraEdit_ModelLoader_local_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-UltraEdit-ZHO"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM": [
+        [
+            "ESAM_ModelLoader_Zho",
+            "Yoloworld_ESAM_DetectorProvider_Zho",
+            "Yoloworld_ESAM_Zho",
+            "Yoloworld_ModelLoader_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI YoloWorld-EfficientSAM"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/comfyui-portrait-master-zh-cn": [
+        [
+            "PortraitMaster_\u4e2d\u6587\u7248"
+        ],
+        {
+            "title_aux": "comfyui-portrait-master-zh-cn"
+        }
+    ],
+    "https://github.com/ZZXYWQ/ComfyUI-ZZXYWQ": [
+        [
+            "StreamRecorder",
+            "VideoFormatConverter",
+            "ZZX_PaintsUndo"
+        ],
+        {
+            "title_aux": "ZZX Nodes"
+        }
+    ],
+    "https://github.com/ZaneA/ComfyUI-ImageReward": [
+        [
+            "ImageRewardLoader",
+            "ImageRewardScore"
+        ],
+        {
+            "title_aux": "ImageReward"
+        }
+    ],
+    "https://github.com/ZeDarkAdam/ComfyUI-Embeddings-Tools": [
+        [
+            "EmbeddingsNameLoader",
+            "EmbendingList"
+        ],
+        {
+            "title_aux": "ComfyUI-Embeddings-Tools"
+        }
+    ],
+    "https://github.com/a1lazydog/ComfyUI-AudioScheduler": [
+        [
+            "AmplitudeToGraph",
+            "AmplitudeToNumber",
+            "AudioToAmplitudeGraph",
+            "AudioToAudioData",
+            "AudioToFFTs",
+            "BatchAmplitudeSchedule",
+            "ClipAmplitude",
+            "FloatArrayToGraph",
+            "GateNormalizedAmplitude",
+            "NormalizeAmplitude",
+            "NormalizedAmplitudeDrivenString",
+            "NormalizedAmplitudeToGraph",
+            "NormalizedAmplitudeToNumber",
+            "TransientAmplitudeBasic"
+        ],
+        {
+            "title_aux": "ComfyUI-AudioScheduler"
+        }
+    ],
+    "https://github.com/aburahamu/ComfyUI-IsNiceParts": [
+        [
+            "NiceHand"
+        ],
+        {
+            "title_aux": "ComfyUI-IsNiceParts"
+        }
+    ],
+    "https://github.com/aburahamu/ComfyUI-RequestsPoster": [
+        [
+            "GetImageFromSD3byI2I",
+            "GetImageFromSD3byT2I",
+            "PostImage2Discord",
+            "PostImage2X",
+            "PostText"
+        ],
+        {
+            "title_aux": "ComfyUI-RequestPoster"
+        }
+    ],
+    "https://github.com/abyz22/image_control": [
+        [
+            "abyz22_AddPrompt",
+            "abyz22_Convertpipe",
+            "abyz22_Editpipe",
+            "abyz22_FirstNonNull",
+            "abyz22_FromBasicPipe_v2",
+            "abyz22_Frompipe",
+            "abyz22_ImpactWildcardEncode",
+            "abyz22_ImpactWildcardEncode_GetPrompt",
+            "abyz22_Ksampler",
+            "abyz22_Padding Image",
+            "abyz22_RandomMask",
+            "abyz22_RemoveControlnet",
+            "abyz22_ResizeOpenpose",
+            "abyz22_SaveImage",
+            "abyz22_SetQueue",
+            "abyz22_ToBasicPipe",
+            "abyz22_Topipe",
+            "abyz22_blend_onecolor",
+            "abyz22_blendimages",
+            "abyz22_bypass",
+            "abyz22_censoring",
+            "abyz22_drawmask",
+            "abyz22_lamaInpaint",
+            "abyz22_lamaPreprocessor",
+            "abyz22_makecircles",
+            "abyz22_path_generator",
+            "abyz22_setimageinfo",
+            "abyz22_smallhead"
+        ],
+        {
+            "title_aux": "image_control"
+        }
+    ],
+    "https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface": [
+        [
+            "DownloadLinkChecker",
+            "ShowFileNames"
+        ],
+        {
+            "title_aux": "ComfyUI-TrashNodes-DownloadHuggingface"
+        }
+    ],
+    "https://github.com/adieyal/comfyui-dynamicprompts": [
+        [
+            "DPCombinatorialGenerator",
+            "DPFeelingLucky",
+            "DPJinja",
+            "DPMagicPrompt",
+            "DPOutput",
+            "DPRandomGenerator"
+        ],
+        {
+            "title_aux": "DynamicPrompts Custom Nodes"
+        }
+    ],
+    "https://github.com/adigayung/ComfyUI-Translator": [
+        [
+            "CLIP Text Encode (Auto Translate)",
+            "Prompt Text (Auto Translate)"
+        ],
+        {
+            "title_aux": "ComfyUI-Translator"
+        }
+    ],
+    "https://github.com/adriflex/ComfyUI_Blender_Texdiff": [
+        [
+            "ViewportColor",
+            "ViewportDepth"
+        ],
+        {
+            "title_aux": "ComfyUI_Blender_Texdiff"
+        }
+    ],
+    "https://github.com/aegis72/aegisflow_utility_nodes": [
+        [
+            "Add Text To Image",
+            "Aegisflow CLIP Pass",
+            "Aegisflow Conditioning Pass",
+            "Aegisflow Image Pass",
+            "Aegisflow Latent Pass",
+            "Aegisflow Mask Pass",
+            "Aegisflow Model Pass",
+            "Aegisflow Pos/Neg Pass",
+            "Aegisflow SDXL Tuple Pass",
+            "Aegisflow VAE Pass",
+            "Aegisflow controlnet preprocessor bus",
+            "Apply Instagram Filter",
+            "Binary INT Switch",
+            "Brightness_Contrast_Ally",
+            "Flatten Colors",
+            "Gaussian Blur_Ally",
+            "GlitchThis Effect",
+            "Hue Rotation",
+            "Image Flip_ally",
+            "Placeholder Tuple",
+            "Swap Color Mode",
+            "aegisflow Multi_Pass",
+            "aegisflow Multi_Pass XL",
+            "af_pipe_in_15",
+            "af_pipe_in_xl",
+            "af_pipe_out_15",
+            "af_pipe_out_xl"
+        ],
+        {
+            "title_aux": "AegisFlow Utility Nodes"
+        }
+    ],
+    "https://github.com/aegis72/comfyui-styles-all": [
+        [
+            "menus"
+        ],
+        {
+            "title_aux": "ComfyUI-styles-all"
+        }
+    ],
+    "https://github.com/ai-liam/comfyui-liam": [
+        [
+            "AiStoreAzureGPTLiam",
+            "GetBetterDepthImage",
+            "LiamLibDisplayText",
+            "LiamLibFillImage",
+            "LiamLibImageToGray",
+            "LiamLibLoadImage",
+            "LiamLibMergeText",
+            "LiamLibSaveImg",
+            "LiamLibSaveText",
+            "OllamaApiTNodeLiam",
+            "PreviewReliefImage",
+            "SpeechRecognitionLiam",
+            "SpeechSynthesisLiam"
+        ],
+        {
+            "title_aux": "LiamUtil"
+        }
+    ],
+    "https://github.com/ai-liam/comfyui_liam_util": [
+        [
+            "LiamLoadImage"
+        ],
+        {
+            "title_aux": "LiamUtil (single node)"
+        }
+    ],
+    "https://github.com/ai-shizuka/ComfyUI-tbox": [
+        [
+            "AnimalPosePreprocessor",
+            "ConstrainImageNode",
+            "DWPosePreprocessor",
+            "DWPreprocessor",
+            "DensePosePreprocessor",
+            "ImageLoader",
+            "ImageResize",
+            "ImageSaver",
+            "ImageSize",
+            "ImagesSaver",
+            "MiDaSDepthPreprocessor"
+        ],
+        {
+            "author": "tstandley",
+            "title_aux": "ComfyUI-tbox"
+        }
+    ],
+    "https://github.com/aianimation55/ComfyUI-FatLabels": [
+        [
+            "FatLabels"
+        ],
+        {
+            "title_aux": "Comfy UI FatLabels"
+        }
+    ],
+    "https://github.com/aidenli/ComfyUI_NYJY": [
+        [
+            "JoyCaption",
+            "JoyTag",
+            "LoadLlamaModel",
+            "Translate"
+        ],
+        {
+            "title_aux": "ComfyUI_NYJY"
+        }
+    ],
+    "https://github.com/aisabervisionlab/ComfyUI_merge_ASVL": [
+        [
+            "ASVL"
+        ],
+        {
+            "title_aux": "ComfyUI_merge_ASVL"
+        }
+    ],
+    "https://github.com/akatz-ai/ComfyUI-AKatz-Nodes": [
+        [
+            "AK_AdjustListSize",
+            "AK_AnimatedDilationMaskLinear",
+            "AK_AudioreactiveDilationMask",
+            "AK_AudioreactiveDynamicDilationMask",
+            "AK_BinaryAmplitudeGate",
+            "AK_ConvertAudioToSaltAudio",
+            "AK_ConvertListToFloatList",
+            "AK_ConvertSaltAudioToAudio",
+            "AK_IPAdapterCustomWeights",
+            "AK_LagChop",
+            "AK_ListToNumpyFloatArray",
+            "AK_NormalizeMaskImage",
+            "AK_RescaleFloatList",
+            "AK_ShrinkNumSequence",
+            "AK_VideoSpeedAdjust"
+        ],
+        {
+            "author": "akatz",
+            "description": "Custom node pack for nodes I use in my workflows.",
+            "nickname": "Akatz Custom Nodes",
+            "title": "Akatz Custom Nodes",
+            "title_aux": "Akatz Custom Nodes"
+        }
+    ],
+    "https://github.com/akierson/ComfyUI-textnodes": [
+        [
+            "Prompt Truncate",
+            "Tidy Tags"
+        ],
+        {
+            "title_aux": "ComfyUI-textnodes"
+        }
+    ],
+    "https://github.com/akierson/comfyui-colornodes": [
+        [
+            "Color Picker",
+            "Color to Hex",
+            "Color to RGB",
+            "Image Replace Color",
+            "Invert Color"
+        ],
+        {
+            "title_aux": "comfyui-colornodes"
+        }
+    ],
+    "https://github.com/al-swaiti/All-IN-ONE-style": [
+        [
+            "ComfyUIStyler",
+            "menus"
+        ],
+        {
+            "title_aux": "All-IN-ONE-style"
+        }
+    ],
+    "https://github.com/al-swaiti/ComfyUI-CascadeResolutions": [
+        [
+            "CascadeResolutions"
+        ],
+        {
+            "title_aux": "ComfyUI-CascadeResolutions"
+        }
+    ],
+    "https://github.com/al-swaiti/ComfyUI-OllamaGemini": [
+        [
+            "BRIA_RMBG",
+            "BRIA_RMBG_ModelLoader",
+            "ComfyUIStyler",
+            "ConvertRasterToVector",
+            "FLUXResolutions",
+            "GeminiAPI",
+            "OllamaAPI",
+            "SaveSVG",
+            "TextSplitByDelimiter",
+            "menus"
+        ],
+        {
+            "title_aux": "GeminiOllama ComfyUI Extension"
+        }
+    ],
+    "https://github.com/alanhuang67/ComfyUI-FAI-Node": [
+        [
+            "FAIDynamicMask",
+            "FAIScaleScheduler",
+            "FAI_Voronoi_Generator"
+        ],
+        {
+            "title_aux": "FAI-Node"
+        }
+    ],
+    "https://github.com/alessandrozonta/ComfyUI-CenterNode": [
+        [
+            "BBoxCrop"
+        ],
+        {
+            "title_aux": "Bounding Box Crop Node for ComfyUI"
+        }
+    ],
+    "https://github.com/alessandrozonta/ComfyUI-Layers": [
+        [
+            "LayersSaver - Save Layer",
+            "LayersSaver - Save Layer From Images"
+        ],
+        {
+            "title_aux": "Save Layers Node for ComfyUI"
+        }
+    ],
+    "https://github.com/alessandrozonta/ComfyUI-OpenPose": [
+        [
+            "OpenPose - Get poses"
+        ],
+        {
+            "author": "joe",
+            "title_aux": "OpenPose Node"
+        }
+    ],
+    "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference": [
+        [
+            "HF_QuestionAnswer",
+            "Job_Caption",
+            "Joy_caption",
+            "Joy_caption_load"
+        ],
+        {
+            "author": "Alex Genovese",
+            "description": "Huggingface Api Serverless request",
+            "nickname": "alexgenovese",
+            "title": "Huggingface Api Serverless",
+            "title_aux": "Huggingface Api Serverless"
+        }
+    ],
+    "https://github.com/alexopus/ComfyUI-Image-Saver": [
+        [
+            "Cfg Literal (Image Saver)",
+            "Checkpoint Loader with Name (Image Saver)",
+            "Float Literal (Image Saver)",
+            "Image Saver",
+            "Int Literal (Image Saver)",
+            "Sampler Selector (Image Saver)",
+            "SamplerToString (Image Saver)",
+            "Scheduler Selector (Comfy) (Image Saver)",
+            "Scheduler Selector (Image Saver)",
+            "SchedulerComfyToString (Image Saver)",
+            "SchedulerToString (Image Saver)",
+            "Seed Generator (Image Saver)",
+            "String Literal (Image Saver)",
+            "Width/Height Literal (Image Saver)"
+        ],
+        {
+            "title_aux": "ComfyUI Image Saver"
+        }
+    ],
+    "https://github.com/alisson-anjos/ComfyUI-Ollama-Describer": [
+        [
+            "InputText",
+            "OllamaImageDescriber",
+            "OllamaTextDescriber",
+            "ShowText",
+            "TextTransformer"
+        ],
+        {
+            "title_aux": "ComfyUI-Ollama-Describer"
+        }
+    ],
+    "https://github.com/alpertunga-bile/image-caption-comfyui": [
+        [
+            "Image Caption Node",
+            "Insert Prompt Node"
+        ],
+        {
+            "title_aux": "image-caption-comfyui"
+        }
+    ],
+    "https://github.com/alpertunga-bile/prompt-generator-comfyui": [
+        [
+            "Prompt Generator"
+        ],
+        {
+            "title_aux": "prompt-generator"
+        }
+    ],
+    "https://github.com/alsritter/asymmetric-tiling-comfyui": [
+        [
+            "Asymmetric_Tiling_KSampler"
+        ],
+        {
+            "title_aux": "asymmetric-tiling-comfyui"
+        }
+    ],
+    "https://github.com/alt-key-project/comfyui-dream-project": [
+        [
+            "Analyze Palette [Dream]",
+            "Beat Curve [Dream]",
+            "Big Float Switch [Dream]",
+            "Big Image Switch [Dream]",
+            "Big Int Switch [Dream]",
+            "Big Latent Switch [Dream]",
+            "Big Palette Switch [Dream]",
+            "Big Text Switch [Dream]",
+            "Boolean To Float [Dream]",
+            "Boolean To Int [Dream]",
+            "Build Prompt [Dream]",
+            "CSV Curve [Dream]",
+            "CSV Generator [Dream]",
+            "Calculation [Dream]",
+            "Common Frame Dimensions [Dream]",
+            "Compare Palettes [Dream]",
+            "FFMPEG Video Encoder [Dream]",
+            "File Count [Dream]",
+            "Finalize Prompt [Dream]",
+            "Float Input [Dream]",
+            "Float to Log Entry [Dream]",
+            "Frame Count Calculator [Dream]",
+            "Frame Counter (Directory) [Dream]",
+            "Frame Counter (Simple) [Dream]",
+            "Frame Counter Info [Dream]",
+            "Frame Counter Offset [Dream]",
+            "Frame Counter Time Offset [Dream]",
+            "Image Brightness Adjustment [Dream]",
+            "Image Color Shift [Dream]",
+            "Image Contrast Adjustment [Dream]",
+            "Image Motion [Dream]",
+            "Image Sequence Blend [Dream]",
+            "Image Sequence Loader [Dream]",
+            "Image Sequence Saver [Dream]",
+            "Image Sequence Tweening [Dream]",
+            "Int Input [Dream]",
+            "Int to Log Entry [Dream]",
+            "Laboratory [Dream]",
+            "Linear Curve [Dream]",
+            "Log Entry Joiner [Dream]",
+            "Log File [Dream]",
+            "Noise from Area Palettes [Dream]",
+            "Noise from Palette [Dream]",
+            "Palette Color Align [Dream]",
+            "Palette Color Shift [Dream]",
+            "Sample Image Area as Palette [Dream]",
+            "Sample Image as Palette [Dream]",
+            "Saw Curve [Dream]",
+            "Sine Curve [Dream]",
+            "Smooth Event Curve [Dream]",
+            "String Input [Dream]",
+            "String Tokenizer [Dream]",
+            "String to Log Entry [Dream]",
+            "Text Input [Dream]",
+            "Triangle Curve [Dream]",
+            "Triangle Event Curve [Dream]",
+            "WAV Curve [Dream]"
+        ],
+        {
+            "title_aux": "Dream Project Animation Nodes"
+        }
+    ],
+    "https://github.com/alt-key-project/comfyui-dream-video-batches": [
+        [
+            "Blended Transition [DVB]",
+            "Calculation [DVB]",
+            "Create Frame Set [DVB]",
+            "Divide [DVB]",
+            "Fade From Black [DVB]",
+            "Fade To Black [DVB]",
+            "Float Input [DVB]",
+            "For Each Done [DVB]",
+            "For Each Filename [DVB]",
+            "Frame Set Append [DVB]",
+            "Frame Set Frame Dimensions Scaled [DVB]",
+            "Frame Set Index Offset [DVB]",
+            "Frame Set Merger [DVB]",
+            "Frame Set Reindex [DVB]",
+            "Frame Set Repeat [DVB]",
+            "Frame Set Reverse [DVB]",
+            "Frame Set Split Beginning [DVB]",
+            "Frame Set Split End [DVB]",
+            "Frame Set Splitter [DVB]",
+            "Generate Inbetween Frames [DVB]",
+            "Int Input [DVB]",
+            "Linear Camera Pan [DVB]",
+            "Linear Camera Roll [DVB]",
+            "Linear Camera Zoom [DVB]",
+            "Load Image From Path [DVB]",
+            "Multiply [DVB]",
+            "Sine Camera Pan [DVB]",
+            "Sine Camera Roll [DVB]",
+            "Sine Camera Zoom [DVB]",
+            "String Input [DVB]",
+            "Text Input [DVB]",
+            "Trace Memory Allocation [DVB]",
+            "Unwrap Frame Set [DVB]"
+        ],
+        {
+            "title_aux": "Dream Video Batches"
+        }
+    ],
+    "https://github.com/an90ray/ComfyUI_RErouter_CustomNodes": [
+        [
+            "CLIPTextEncode (RE)",
+            "CLIPTextEncodeSDXL (RE)",
+            "CLIPTextEncodeSDXLRefiner (RE)",
+            "Int (RE)",
+            "RErouter <=",
+            "RErouter =>",
+            "String (RE)"
+        ],
+        {
+            "title_aux": "ComfyUI_RErouter_CustomNodes"
+        }
+    ],
+    "https://github.com/andersxa/comfyui-PromptAttention": [
+        [
+            "CLIPAttentionMaskEncode"
+        ],
+        {
+            "title_aux": "CLIP Directional Prompt Attention"
+        }
+    ],
+    "https://github.com/angeloshredder/StableCascadeResizer": [
+        [
+            "CascadeResize"
+        ],
+        {
+            "title_aux": "StableCascadeResizer"
+        }
+    ],
+    "https://github.com/anhkhoatranle30/Handy-Nodes-ComfyUI": [
+        [
+            "Custom Save Image //Handy"
+        ],
+        {
+            "author": "Khoa Tran",
+            "description": "This extension offers various handy nodes.",
+            "nickname": "Handy-Nodes-ComfyUI",
+            "title": "Handy-Nodes-ComfyUI",
+            "title_aux": "Handy Node ComfyUI"
+        }
+    ],
+    "https://github.com/ansonkao/comfyui-geometry": [
+        [
+            "TransformTemplateOntoFaceMask"
+        ],
+        {
+            "author": "Anson Kao",
+            "description": "A small collection of custom nodes for use with ComfyUI, by Discopixel",
+            "nickname": "ComfyUI Discopixel",
+            "title": "ComfyUI Discopixel",
+            "title_aux": "comfyui-geometry"
+        }
+    ],
+    "https://github.com/antrobot1234/antrobots-comfyUI-nodepack": [
+        [
+            "composite",
+            "crop",
+            "paste",
+            "preview_mask",
+            "scale"
+        ],
+        {
+            "title_aux": "antrobots ComfyUI Nodepack"
+        }
+    ],
+    "https://github.com/asagi4/ComfyUI-Adaptive-Guidance": [
+        [
+            "AdaptiveGuidance",
+            "PerpNegAdaptiveGuidanceGuider"
+        ],
+        {
+            "title_aux": "Adaptive Guidance for ComfyUI"
+        }
+    ],
+    "https://github.com/asagi4/ComfyUI-CADS": [
+        [
+            "CADS"
+        ],
+        {
+            "title_aux": "ComfyUI-CADS"
+        }
+    ],
+    "https://github.com/asagi4/comfyui-prompt-control": [
+        [
+            "EditableCLIPEncode",
+            "FilterSchedule",
+            "LoRAScheduler",
+            "PCApplySettings",
+            "PCPromptFromSchedule",
+            "PCScheduleAddMasks",
+            "PCScheduleSettings",
+            "PCSplitSampling",
+            "PCWrapGuider",
+            "PromptControlSimple",
+            "PromptToSchedule",
+            "ScheduleToCond",
+            "ScheduleToModel"
+        ],
+        {
+            "title_aux": "ComfyUI prompt control"
+        }
+    ],
+    "https://github.com/asagi4/comfyui-utility-nodes": [
+        [
+            "MUForceCacheClear",
+            "MUJinjaRender",
+            "MUReplaceModelWeights",
+            "MUSimpleWildcard"
+        ],
+        {
+            "title_aux": "asagi4/comfyui-utility-nodes"
+        }
+    ],
+    "https://github.com/aszc-dev/ComfyUI-CoreMLSuite": [
+        [
+            "Core ML Converter",
+            "Core ML LCM Converter",
+            "Core ML LoRA Loader",
+            "CoreMLModelAdapter",
+            "CoreMLSampler",
+            "CoreMLSamplerAdvanced",
+            "CoreMLUNetLoader"
+        ],
+        {
+            "title_aux": "Core ML Suite for ComfyUI"
+        }
+    ],
+    "https://github.com/audioscavenger/ComfyUI-Thumbnails": [
+        [
+            "LoadImageThumbnails"
+        ],
+        {
+            "author": "AudioscavengeR",
+            "description": "Load Image thumbnails and show input subfolders.",
+            "nickname": "ComfyUI Thumbnails",
+            "title": "ComfyUI Thumbnails",
+            "title_aux": "ComfyUI Thumbnails"
+        }
+    ],
+    "https://github.com/audioscavenger/save-image-extended-comfyui": [
+        [
+            "SaveImageExtended"
+        ],
+        {
+            "title_aux": "Save Image Extended for ComfyUI"
+        }
+    ],
+    "https://github.com/avatechai/avatar-graph-comfyui": [
+        [
+            "ApplyMeshTransformAsShapeKey",
+            "B_ENUM",
+            "B_VECTOR3",
+            "B_VECTOR4",
+            "Combine Points",
+            "CreateShapeFlow",
+            "ExportBlendshapes",
+            "ExportGLTF",
+            "Extract Boundary Points",
+            "Image Alpha Mask Merge",
+            "ImageBridge",
+            "LoadImageFromRequest",
+            "LoadImageWithAlpha",
+            "LoadValueFromRequest",
+            "SAM MultiLayer",
+            "Save Image With Workflow"
+        ],
+        {
+            "author": "Avatech Limited",
+            "description": "Include nodes for sam + bpy operation, that allows workflow creations for generative 2d character rig.",
+            "nickname": "Avatar Graph",
+            "title": "Avatar Graph",
+            "title_aux": "Avatar Graph"
+        }
+    ],
+    "https://github.com/aws-samples/comfyui-llm-node-for-amazon-bedrock": [
+        [
+            "Bedrock - Claude",
+            "Bedrock - Claude Multimodal",
+            "Bedrock - SDXL",
+            "Bedrock - Titan Inpainting",
+            "Bedrock - Titan Outpainting",
+            "Bedrock - Titan Text to Image",
+            "Bedrock - Titan Variation",
+            "Image From S3",
+            "Image From URL",
+            "Image To S3",
+            "JSON Text Extraction",
+            "Prompt Regex Remove",
+            "Prompt Template",
+            "Prompt Template with Two Inputs"
+        ],
+        {
+            "title_aux": "Amazon Bedrock nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/azure-dragon-ai/ComfyUI-ClipScore-Nodes": [
+        [
+            "HaojihuiClipScoreFakeImageProcessor",
+            "HaojihuiClipScoreImageProcessor",
+            "HaojihuiClipScoreImageScore",
+            "HaojihuiClipScoreLoader",
+            "HaojihuiClipScoreRealImageProcessor",
+            "HaojihuiClipScoreTextProcessor"
+        ],
+        {
+            "title_aux": "ComfyUI-ClipScore-Nodes"
+        }
+    ],
+    "https://github.com/badayvedat/ComfyUI-fal-Connector": [
+        [
+            "RemoteCheckpointLoader_fal",
+            "RemoteLoraLoader_fal"
+        ],
+        {
+            "title_aux": "ComfyUI-fal-Connector"
+        }
+    ],
+    "https://github.com/badjeff/comfyui_lora_tag_loader": [
+        [
+            "LoraTagLoader"
+        ],
+        {
+            "title_aux": "LoRA Tag Loader for ComfyUI"
+        }
+    ],
+    "https://github.com/baicai99/ComfyUI-FrameSkipping": [
+        [
+            "FrameSelector",
+            "FrameSkipping",
+            "FrameTruncating",
+            "IntOperationsNode",
+            "MaskFrameSkipping",
+            "MaskGenerator",
+            "MaskSelector"
+        ],
+        {
+            "title_aux": "ComfyUI-FrameSkipping"
+        }
+    ],
+    "https://github.com/bananasss00/ComfyUI-SP-Nodes": [
+        [
+            "BoolSwitchOutStr",
+            "CivitaiPrompts",
+            "FaceScatter",
+            "FaceScatter2",
+            "GodnessMerger_Apply",
+            "GodnessMerger_InputBlocks",
+            "GodnessMerger_InputBlocksExperimental",
+            "GodnessMerger_LabelEmb",
+            "GodnessMerger_MiddleBlock",
+            "GodnessMerger_MiddleBlockExperimental",
+            "GodnessMerger_NoiseInjection",
+            "GodnessMerger_Out",
+            "GodnessMerger_OutputBlocks",
+            "GodnessMerger_OutputBlocksExperimental",
+            "GodnessMerger_RAW_Apply",
+            "GodnessMerger_TimeEmbed",
+            "ImageMonitor",
+            "ImgMetaValueExtractor",
+            "LoraLoaderByPath",
+            "LoraLoaderOnlyModelByPath",
+            "PreviewImageWEBP",
+            "PromptChecker",
+            "RandomPromptFromBook",
+            "Random_Model_Merge",
+            "SD3BlocksMultiply",
+            "SD3Multiply",
+            "SP-CheckpointSave",
+            "SP-UnetSave",
+            "SP_FluxFastMergePatchFP8 [Experimental]",
+            "SP_KoboldCpp",
+            "SP_WebsocketSendImage",
+            "ScatterParams",
+            "ScatterParamsBatch",
+            "SendTelegramChatBot",
+            "StrToCombo",
+            "TESTER",
+            "TextSplitJoinByDelimiter"
+        ],
+        {
+            "author": "SeniorPioner",
+            "description": "Node Pack: PromptChecker for token toggling, KoboldCPP API, ModelMerging, Telegram-Bot-API, and more",
+            "nickname": "SP-Nodes",
+            "title": "SP-Nodes",
+            "title_aux": "SP-Nodes"
+        }
+    ],
+    "https://github.com/banodoco/steerable-motion": [
+        [
+            "BatchCreativeInterpolation",
+            "IpaConfiguration",
+            "RemoveAndInterpolateFrames"
+        ],
+        {
+            "title_aux": "Steerable Motion"
+        }
+    ],
+    "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/node_text_to_speech.py": [
+        [
+            "TextToSpeech"
+        ],
+        {
+            "title_aux": "comfyUI_DaVinciResolve"
+        }
+    ],
+    "https://github.com/bash-j/mikey_nodes": [
+        [
+            "AddMetaData",
+            "Batch Crop Image",
+            "Batch Crop Resize Inplace",
+            "Batch Load Images",
+            "Batch Resize Image for SDXL",
+            "Checkpoint Loader Simple Mikey",
+            "CheckpointHash",
+            "CheckpointSaveModelOnly",
+            "CinematicLook",
+            "Empty Latent Ratio Custom SDXL",
+            "Empty Latent Ratio Select SDXL",
+            "EvalFloats",
+            "FaceFixerOpenCV",
+            "FileNamePrefix",
+            "FileNamePrefixDateDirFirst",
+            "Float to String",
+            "GetSubdirectories",
+            "HaldCLUT",
+            "Image Caption",
+            "ImageBorder",
+            "ImageOverlay",
+            "ImagePaste",
+            "Int to String",
+            "LMStudioPrompt",
+            "Load Image Based on Number",
+            "LoraSyntaxProcessor",
+            "Mikey Sampler",
+            "Mikey Sampler Base Only",
+            "Mikey Sampler Base Only Advanced",
+            "Mikey Sampler Tiled",
+            "Mikey Sampler Tiled Base Only",
+            "MikeyLatentTileSampler",
+            "MikeyLatentTileSamplerCustom",
+            "MikeySamplerTiledAdvanced",
+            "MikeySamplerTiledAdvancedBaseOnly",
+            "ModelMergePixArtSigmaXL2_1024MS",
+            "ModelMergeTrainDiff",
+            "ModelMergeTrainDiffPixartSigmaXL2_1024MS",
+            "MosaicExpandImage",
+            "OobaPrompt",
+            "PresetRatioSelector",
+            "Prompt With SDXL",
+            "Prompt With Style",
+            "Prompt With Style V2",
+            "Prompt With Style V3",
+            "Range Float",
+            "Range Integer",
+            "Ratio Advanced",
+            "Resize Image for SDXL",
+            "SD3TextConditioningWithOptionsOnePrompt",
+            "SRFloatPromptInput",
+            "SRIntPromptInput",
+            "SRStringPromptInput",
+            "Save Image If True",
+            "Save Image With Prompt Data",
+            "Save Images Mikey",
+            "Save Images No Display",
+            "SaveMetaData",
+            "SearchAndReplace",
+            "Seed String",
+            "Style Conditioner",
+            "Style Conditioner Base Only",
+            "Text2InputOr3rdOption",
+            "TextCombinations",
+            "TextCombinations3",
+            "TextConcat",
+            "TextPadderMikey",
+            "TextPreserve",
+            "Upscale Tile Calculator",
+            "Wildcard Processor",
+            "WildcardAndLoraSyntaxProcessor",
+            "WildcardOobaPrompt"
+        ],
+        {
+            "title_aux": "Mikey Nodes"
+        }
+    ],
+    "https://github.com/bedovyy/ComfyUI_NAIDGenerator": [
+        [
+            "ColorizeNAID",
+            "DeclutterNAID",
+            "EmotionNAID",
+            "GenerateNAID",
+            "Img2ImgOptionNAID",
+            "InpaintingOptionNAID",
+            "LineArtNAID",
+            "MaskImageToNAID",
+            "ModelOptionNAID",
+            "NetworkOptionNAID",
+            "PromptToNAID",
+            "RemoveBGNAID",
+            "SketchNAID",
+            "VibeTransferOptionNAID"
+        ],
+        {
+            "title_aux": "ComfyUI_NAIDGenerator"
+        }
+    ],
+    "https://github.com/bilal-arikan/ComfyUI_TextAssets": [
+        [
+            "LoadTextAsset"
+        ],
+        {
+            "title_aux": "ComfyUI_TextAssets"
+        }
+    ],
+    "https://github.com/bitaffinity/ComfyUI_HF_Inference": [
+        [
+            "Classification",
+            "FeatureExtraction",
+            "Generation",
+            "ObjectDetection",
+            "QuestionAnswering",
+            "Segmentation",
+            "TextToImage",
+            "Translation"
+        ],
+        {
+            "title_aux": "ComfyUI_HF_Inference"
+        }
+    ],
+    "https://github.com/bkunbargi/BrevImage/raw/main/BrevLoadImage.py": [
+        [
+            "BrevImage"
+        ],
+        {
+            "title_aux": "BrevImage"
+        }
+    ],
+    "https://github.com/blackcodetavern/ComfyUI-Benripack": [
+        [
+            "CharacterPipe"
+        ],
+        {
+            "title_aux": "ComfyUI-Benripack"
+        }
+    ],
+    "https://github.com/blepping/ComfyUI-bleh": [
+        [
+            "BlehBlockOps",
+            "BlehDeepShrink",
+            "BlehDisableNoise",
+            "BlehDiscardPenultimateSigma",
+            "BlehForceSeedSampler",
+            "BlehHyperTile",
+            "BlehInsaneChainSampler",
+            "BlehLatentOps",
+            "BlehLatentScaleBy",
+            "BlehModelPatchConditional",
+            "BlehPlug",
+            "BlehRefinerAfter"
+        ],
+        {
+            "title_aux": "ComfyUI-bleh"
+        }
+    ],
+    "https://github.com/blepping/ComfyUI-sonar": [
+        [
+            "NoisyLatentLike",
+            "SONAR_CUSTOM_NOISE to NOISE",
+            "SamplerConfigOverride",
+            "SamplerSonarDPMPPSDE",
+            "SamplerSonarEuler",
+            "SamplerSonarEulerA",
+            "SonarAdvancedPyramidNoise",
+            "SonarCompositeNoise",
+            "SonarCustomNoise",
+            "SonarGuidanceConfig",
+            "SonarGuidedNoise",
+            "SonarModulatedNoise",
+            "SonarRandomNoise",
+            "SonarRepeatedNoise",
+            "SonarScheduledNoise"
+        ],
+        {
+            "title_aux": "ComfyUI-sonar"
+        }
+    ],
+    "https://github.com/blepping/comfyui_jankhidiffusion": [
+        [
+            "ApplyMSWMSAAttention",
+            "ApplyMSWMSAAttentionSimple",
+            "ApplyRAUNet",
+            "ApplyRAUNetSimple"
+        ],
+        {
+            "title_aux": "comfyui_jankhidiffusion"
+        }
+    ],
+    "https://github.com/blepping/comfyui_overly_complicated_sampling": [
+        [
+            "OCS Group",
+            "OCS ModelSetMaxSigma",
+            "OCS MultiParam",
+            "OCS Param",
+            "OCS Sampler",
+            "OCS SimpleRestartSchedule",
+            "OCS Substeps",
+            "OCSNoise PerlinAdvanced",
+            "OCSNoise PerlinSimple",
+            "OCSNoise to SONAR_CUSTOM_NOISE"
+        ],
+        {
+            "title_aux": "comfyui_overly_complicated_sampling"
+        }
+    ],
+    "https://github.com/blueraincoatli/comfyUI_SillyNodes": [
+        [
+            "BooleanJumper|SillyNode",
+            "QueueSequence|SillyNode",
+            "Screenshots|SillyNode",
+            "dummyInput|SillyNode",
+            "dummyInput|blueraincoat"
+        ],
+        {
+            "title_aux": "comfyUI_SillyNodes"
+        }
+    ],
+    "https://github.com/bluevisor/ComfyUI_PS_Blend_Node": [
+        [
+            "PSBlendNode"
+        ],
+        {
+            "title_aux": "ComfyUI_PS_Blend_Node"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_ab_samplercustom": [
+        [
+            "AB SamplerCustom (experimental)"
+        ],
+        {
+            "title_aux": "comfyui_ab_sampler"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_bmad_nodes": [
+        [
+            "AdaptiveThresholding",
+            "Add String To Many",
+            "AddAlpha",
+            "AdjustRect",
+            "AnyToAny",
+            "BoundingRect (contours)",
+            "BuildColorRangeAdvanced (hsv)",
+            "BuildColorRangeHSV (hsv)",
+            "CLAHE",
+            "CLIPEncodeMultiple",
+            "CLIPEncodeMultipleAdvanced",
+            "ChameleonMask",
+            "CheckpointLoader (dirty)",
+            "CheckpointLoaderSimple (dirty)",
+            "Color (RGB)",
+            "Color (hexadecimal)",
+            "Color Clip",
+            "Color Clip (advanced)",
+            "Color Clip ADE20k",
+            "ColorDictionary",
+            "ColorDictionary (custom)",
+            "Conditioning (combine multiple)",
+            "Conditioning (combine selective)",
+            "Conditioning Grid (cond)",
+            "Conditioning Grid (string)",
+            "Conditioning Grid (string) Advanced",
+            "Contour To Mask",
+            "Contours",
+            "ControlNetHadamard",
+            "ControlNetHadamard (manual)",
+            "ConvertImg",
+            "CopyMakeBorder",
+            "CreateRequestMetadata",
+            "DistanceTransform",
+            "Draw Contour(s)",
+            "EqualizeHistogram",
+            "ExtendColorList",
+            "ExtendCondList",
+            "ExtendFloatList",
+            "ExtendImageList",
+            "ExtendIntList",
+            "ExtendLatentList",
+            "ExtendMaskList",
+            "ExtendModelList",
+            "ExtendStringList",
+            "FadeMaskEdges",
+            "Filter Contour",
+            "FindComplementaryColor",
+            "FindThreshold",
+            "FlatLatentsIntoSingleGrid",
+            "Framed Mask Grab Cut",
+            "Framed Mask Grab Cut 2",
+            "FromListGet1Color",
+            "FromListGet1Cond",
+            "FromListGet1Float",
+            "FromListGet1Image",
+            "FromListGet1Int",
+            "FromListGet1Latent",
+            "FromListGet1Mask",
+            "FromListGet1Model",
+            "FromListGet1String",
+            "FromListGetColors",
+            "FromListGetConds",
+            "FromListGetFloats",
+            "FromListGetImages",
+            "FromListGetInts",
+            "FromListGetLatents",
+            "FromListGetMasks",
+            "FromListGetModels",
+            "FromListGetStrings",
+            "Get Contour from list",
+            "Get Models",
+            "Get Prompt",
+            "HypernetworkLoader (dirty)",
+            "ImageBatchToList",
+            "InRange (hsv)",
+            "Inpaint",
+            "Input/String to Int Array",
+            "KMeansColor",
+            "Load 64 Encoded Image",
+            "LoraLoader (dirty)",
+            "MaskGrid N KSamplers Advanced",
+            "MaskOuterBlur",
+            "Merge Latent Batch Gridwise",
+            "MonoMerge",
+            "MorphologicOperation",
+            "MorphologicSkeletoning",
+            "NaiveAutoKMeansColor",
+            "OtsuThreshold",
+            "RGB to HSV",
+            "Rect Grab Cut",
+            "Remap",
+            "RemapBarrelDistortion",
+            "RemapFromInsideParabolas",
+            "RemapFromQuadrilateral (homography)",
+            "RemapInsideParabolas",
+            "RemapInsideParabolasAdvanced",
+            "RemapPinch",
+            "RemapReverseBarrelDistortion",
+            "RemapStretch",
+            "RemapToInnerCylinder",
+            "RemapToOuterCylinder",
+            "RemapToQuadrilateral",
+            "RemapWarpPolar",
+            "Repeat Into Grid (image)",
+            "Repeat Into Grid (latent)",
+            "RequestInputs",
+            "SampleColorHSV",
+            "Save Image (api)",
+            "SeamlessClone",
+            "SeamlessClone (simple)",
+            "SetRequestStateToComplete",
+            "String",
+            "String to Float",
+            "String to Integer",
+            "ToColorList",
+            "ToCondList",
+            "ToFloatList",
+            "ToImageList",
+            "ToIntList",
+            "ToLatentList",
+            "ToMaskList",
+            "ToModelList",
+            "ToStringList",
+            "UnGridify (image)",
+            "VAEEncodeBatch"
+        ],
+        {
+            "title_aux": "Bmad Nodes"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_lists_cartesian_product": [
+        [
+            "AnyListCartesianProduct"
+        ],
+        {
+            "title_aux": "Lists Cartesian Product"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_quilting": [
+        [
+            "GuessQuiltingBlockSize_Bmad",
+            "ImageQuiltingSeamlessMB_Bmad",
+            "ImageQuiltingSeamlessSB_Bmad",
+            "ImageQuilting_Bmad",
+            "LatentQuiltingSeamlessMB_Bmad",
+            "LatentQuiltingSeamlessSB_Bmad",
+            "LatentQuilting_Bmad"
+        ],
+        {
+            "title_aux": "comfyui_quilting"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_wfc_like": [
+        [
+            "WFC_CustomTemperature_Bmad",
+            "WFC_CustomValueWeights_Bmad",
+            "WFC_Decode_BMad",
+            "WFC_EmptyState_Bmad",
+            "WFC_Encode_BMad",
+            "WFC_Filter_Bmad",
+            "WFC_GenParallel_Bmad",
+            "WFC_Generate_BMad",
+            "WFC_SampleNode_BMad"
+        ],
+        {
+            "title_aux": "comfyui_wfc_like"
+        }
+    ],
+    "https://github.com/bobmagicii/comfykit-custom-nodes": [
+        [
+            "LoraStackFiveSimple",
+            "LoraThree",
+            "LoraWithMeta",
+            "TypecasterClip",
+            "TypecasterCond",
+            "TypecasterImage",
+            "TypecasterLatent",
+            "TypecasterModel",
+            "TypecasterVae"
+        ],
+        {
+            "title_aux": "ComfyKit Custom Nodes"
+        }
+    ],
+    "https://github.com/boredofnames/ComfyUI-ntfy": [
+        [
+            "Ntfy",
+            "SaveImageAndNtfy"
+        ],
+        {
+            "title_aux": "ComfyUI-ntfy"
+        }
+    ],
+    "https://github.com/bradsec/ComfyUI_ResolutionSelector": [
+        [
+            "ResolutionSelector"
+        ],
+        {
+            "title_aux": "ResolutionSelector for ComfyUI"
+        }
+    ],
+    "https://github.com/braintacles/braintacles-comfyui-nodes": [
+        [
+            "CLIPTextEncodeSDXL-Multi-IO",
+            "CLIPTextEncodeSDXL-Pipe",
+            "Empty Latent Image from Aspect-Ratio",
+            "Interval Sampler",
+            "Random Find and Replace"
+        ],
+        {
+            "title_aux": "braintacles-nodes"
+        }
+    ],
+    "https://github.com/brianfitzgerald/style_aligned_comfy": [
+        [
+            "StyleAlignedBatchAlign",
+            "StyleAlignedReferenceSampler",
+            "StyleAlignedSampleReferenceLatents"
+        ],
+        {
+            "title_aux": "StyleAligned for ComfyUI"
+        }
+    ],
+    "https://github.com/bronkula/comfyui-fitsize": [
+        [
+            "FS: Crop Image Into Even Pieces",
+            "FS: Fit Image And Resize",
+            "FS: Fit Size From Image",
+            "FS: Fit Size From Int",
+            "FS: Image Region To Mask",
+            "FS: Load Image And Resize To Fit",
+            "FS: Pick Image From Batch",
+            "FS: Pick Image From Batches",
+            "FS: Pick Image From List"
+        ],
+        {
+            "title_aux": "comfyui-fitsize"
+        }
+    ],
+    "https://github.com/bruefire/ComfyUI-SeqImageLoader": [
+        [
+            "VFrame Loader With Mask Editor",
+            "Video Loader With Mask Editor"
+        ],
+        {
+            "title_aux": "ComfyUI Sequential Image Loader"
+        }
+    ],
+    "https://github.com/budihartono/comfyui_otonx_nodes": [
+        [
+            "OTX Integer Multiple Inputs 4",
+            "OTX Integer Multiple Inputs 5",
+            "OTX Integer Multiple Inputs 6",
+            "OTX KSampler Feeder",
+            "OTX Versatile Multiple Inputs 4",
+            "OTX Versatile Multiple Inputs 5",
+            "OTX Versatile Multiple Inputs 6"
+        ],
+        {
+            "title_aux": "Otonx's Custom Nodes"
+        }
+    ],
+    "https://github.com/bvhari/ComfyUI_ImageProcessing": [
+        [
+            "BilateralFilter",
+            "Brightness",
+            "Gamma",
+            "Hue",
+            "Saturation",
+            "SigmoidCorrection",
+            "UnsharpMask"
+        ],
+        {
+            "title_aux": "ImageProcessing"
+        }
+    ],
+    "https://github.com/bvhari/ComfyUI_PerpWeight": [
+        [
+            "CLIPTextEncodePerpWeight"
+        ],
+        {
+            "title_aux": "ComfyUI_PerpWeight"
+        }
+    ],
+    "https://github.com/bvhari/ComfyUI_SUNoise": [
+        [
+            "SUNoiseLatent",
+            "SamplersSUNoise",
+            "SamplersSUNoiseAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI_SUNoise"
+        }
+    ],
+    "https://github.com/caleboleary/ComfyUI-Arc2Face": [
+        [
+            "Arc2FaceEncoderLoader",
+            "Arc2FaceFaceExtractor",
+            "Arc2FaceGenerator",
+            "Arc2FaceImageGridGenerator",
+            "Arc2FaceImg2ImgGenerator",
+            "Arc2FaceUNetLoader"
+        ],
+        {
+            "title_aux": "Arc2Face ComfyUI Node Library"
+        }
+    ],
+    "https://github.com/camenduru/ComfyUI-TostAI": [
+        [
+            "SendToTostAI"
+        ],
+        {
+            "title_aux": "ComfyUI-TostAI"
+        }
+    ],
+    "https://github.com/catscandrive/comfyui-imagesubfolders/raw/main/loadImageWithSubfolders.py": [
+        [
+            "LoadImagewithSubfolders"
+        ],
+        {
+            "title_aux": "Image loader with subfolders"
+        }
+    ],
+    "https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life": [
+        [
+            "BOPBTL_BlendFaces",
+            "BOPBTL_DetectEnhanceBlendFaces",
+            "BOPBTL_DetectFaces",
+            "BOPBTL_EnhanceFaces",
+            "BOPBTL_EnhanceFacesAdvanced",
+            "BOPBTL_LoadFaceDetectorModel",
+            "BOPBTL_LoadFaceEnhancerModel",
+            "BOPBTL_LoadRestoreOldPhotosModel",
+            "BOPBTL_LoadScratchMaskModel",
+            "BOPBTL_RestoreOldPhotos",
+            "BOPBTL_ScratchMask"
+        ],
+        {
+            "title_aux": "ComfyUI Bringing Old Photos Back to Life"
+        }
+    ],
+    "https://github.com/cdb-boop/comfyui-image-round": [
+        [
+            "ComfyUI_Image_Round__ImageCropAdvanced",
+            "ComfyUI_Image_Round__ImageRound",
+            "ComfyUI_Image_Round__ImageRoundAdvanced"
+        ],
+        {
+            "title_aux": "comfyui-image-round"
+        }
+    ],
+    "https://github.com/cdxOo/comfyui-text-node-with-comments": [
+        [
+            "text-node-with-comments"
+        ],
+        {
+            "title_aux": "Text Node With Comments (@cdxoo)"
+        }
+    ],
+    "https://github.com/celoron/ComfyUI-VisualQueryTemplate": [
+        [
+            "VisualQueryTemplateNode"
+        ],
+        {
+            "title_aux": "ComfyUI-VisualQueryTemplate"
+        }
+    ],
+    "https://github.com/celsojr2013/comfyui_jamworks_client": [
+        [
+            "Jamworks_Download",
+            "Jamworks_Login",
+            "Shell_Command"
+        ],
+        {
+            "title_aux": "comfyui_jamworks_client"
+        }
+    ],
+    "https://github.com/celsojr2013/comfyui_simpletools": [
+        [
+            "GoogleTranslator",
+            "Parameters",
+            "ResolutionSolver"
+        ],
+        {
+            "title_aux": "ComfyUI SimpleTools Suit"
+        }
+    ],
+    "https://github.com/cerspense/ComfyUI_cspnodes": [
+        [
+            "DepthToNormalMap",
+            "ImageDirIterator",
+            "IncrementEveryN",
+            "Modelscopet2v",
+            "Modelscopev2v",
+            "RemapRange",
+            "ResizeByImage",
+            "SplitImageChannels",
+            "TextFileLineIterator",
+            "VidDirIterator"
+        ],
+        {
+            "title_aux": "cspnodes"
+        }
+    ],
+    "https://github.com/ceruleandeep/ComfyUI-LLaVA-Captioner": [
+        [
+            "LlavaCaptioner"
+        ],
+        {
+            "title_aux": "ComfyUI LLaVA Captioner"
+        }
+    ],
+    "https://github.com/chakib-belgaid/ComfyUI-autosize": [
+        [
+            "CustomAutoSize",
+            "SDXLAutoSize"
+        ],
+        {
+            "title_aux": "ComfyUI-autosize"
+        }
+    ],
+    "https://github.com/chakib-belgaid/Comfyui_Prompt_styler": [
+        [
+            "Prompt_Styler"
+        ],
+        {
+            "title_aux": "ComfyUI Style Plugin"
+        }
+    ],
+    "https://github.com/chandlergis/ComfyUI-IMG_Query": [
+        [
+            "ImageRequestNode"
+        ],
+        {
+            "title_aux": "ComfyUI-IMG_Query"
+        }
+    ],
+    "https://github.com/chandlergis/ComfyUI_EmojiOverlay": [
+        [
+            "Image Emoji Overlay"
+        ],
+        {
+            "title_aux": "ComfyUI_EmojiOverlay"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-AniPortrait": [
+        [
+            "AniPortraitLoader",
+            "AniPortraitRun",
+            "Box2Video",
+            "CoverVideo",
+            "MaskList2Video"
+        ],
+        {
+            "title_aux": "ComfyUI-AniPortrait"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper": [
+        [
+            "CameraBasic",
+            "CameraCombine",
+            "CameraCtrlLoader",
+            "CameraCtrlRun",
+            "CameraJoin",
+            "CameraTrajectory"
+        ],
+        {
+            "title_aux": "ComfyUI-CameraCtrl-Wrapper"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Champ": [
+        [
+            "ChampLoader",
+            "ChampRun",
+            "ImageCombineOneColumn",
+            "ImageCombineOneRow"
+        ],
+        {
+            "title_aux": "ComfyUI-Champ"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-DragAnything": [
+        [
+            "DragAnythingLoader",
+            "DragAnythingPipelineRun",
+            "DragAnythingPipelineRunRandom",
+            "DragAnythingRun",
+            "DragAnythingRunRandom",
+            "LoadText",
+            "SaveText",
+            "VHS_FILENAMES_STRING"
+        ],
+        {
+            "title_aux": "ComfyUI-DragAnything"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-DragNUWA": [
+        [
+            "BrushMotion",
+            "CompositeMotionBrush",
+            "CompositeMotionBrushWithoutModel",
+            "DragNUWA Run",
+            "DragNUWA Run MotionBrush",
+            "Get First Image",
+            "Get Last Image",
+            "InstantCameraMotionBrush",
+            "InstantObjectMotionBrush",
+            "Load CheckPoint DragNUWA",
+            "Load MotionBrush From Optical Flow",
+            "Load MotionBrush From Optical Flow Directory",
+            "Load MotionBrush From Optical Flow Without Model",
+            "Load MotionBrush From Tracking Points",
+            "Load MotionBrush From Tracking Points Without Model",
+            "Load Pose KeyPoints",
+            "Loop",
+            "LoopEnd_IMAGE",
+            "LoopStart_IMAGE",
+            "Split Tracking Points"
+        ],
+        {
+            "title_aux": "ComfyUI-DragNUWA"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-DynamiCrafter": [
+        [
+            "DynamiCrafter Simple",
+            "DynamiCrafterInterp Simple",
+            "DynamiCrafterInterpLoader",
+            "DynamiCrafterLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-DynamiCrafter"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-EasyAnimate": [
+        [
+            "EasyAnimateLoader",
+            "EasyAnimateRun"
+        ],
+        {
+            "title_aux": "ComfyUI-EasyAnimate"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Gemma": [
+        [
+            "GemmaLoader",
+            "GemmaRun"
+        ],
+        {
+            "title_aux": "ComfyUI-Gemma"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-I2VGEN-XL": [
+        [
+            "I2VGEN-XL Simple",
+            "Modelscope Pipeline Loader"
+        ],
+        {
+            "title_aux": "ComfyUI-I2VGEN-XL"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Img2Img-Turbo": [
+        [
+            "Img2ImgTurboEdgeLoader",
+            "Img2ImgTurboEdgeRun",
+            "Img2ImgTurboSketchLoader",
+            "Img2ImgTurboSketchRun"
+        ],
+        {
+            "title_aux": "ComfyUI-Img2Img-Turbo"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-LaVIT": [
+        [
+            "VHS_FILENAMES_STRING_LaVIT",
+            "VideoLaVITI2I",
+            "VideoLaVITI2V",
+            "VideoLaVITI2VLong",
+            "VideoLaVITLoader",
+            "VideoLaVITT2V",
+            "VideoLaVITT2VLong",
+            "VideoLaVITUnderstandingImage",
+            "VideoLaVITUnderstandingLoader",
+            "VideoLaVITUnderstandingVideo",
+            "VideoLaVITVideoDetokenizerLoader",
+            "VideoLaVITVideoReconstruction"
+        ],
+        {
+            "title_aux": "ComfyUI-LaVIT"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-LightGlue": [
+        [
+            "LightGlue Loader",
+            "LightGlue Simple",
+            "LightGlue Simple Multi"
+        ],
+        {
+            "title_aux": "ComfyUI-LightGlue"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Moore-AnimateAnyone": [
+        [
+            "Moore-AnimateAnyone Denoising Unet",
+            "Moore-AnimateAnyone Image Encoder",
+            "Moore-AnimateAnyone Pipeline Loader",
+            "Moore-AnimateAnyone Pose Guider",
+            "Moore-AnimateAnyone Reference Unet",
+            "Moore-AnimateAnyone Simple",
+            "Moore-AnimateAnyone VAE"
+        ],
+        {
+            "title_aux": "ComfyUI-Moore-AnimateAnyone"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Motion-Vector-Extractor": [
+        [
+            "Motion Vector Extractor",
+            "VideoCombineThenPath"
+        ],
+        {
+            "title_aux": "ComfyUI-Motion-Vector-Extractor"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MotionCtrl": [
+        [
+            "Load Motion Camera Preset",
+            "Load Motion Traj Preset",
+            "Load Motionctrl Checkpoint",
+            "Motionctrl Cond",
+            "Motionctrl Sample",
+            "Motionctrl Sample Simple",
+            "Select Image Indices"
+        ],
+        {
+            "title_aux": "ComfyUI-MotionCtrl"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MotionCtrl-SVD": [
+        [
+            "Load Motionctrl-SVD Camera Preset",
+            "Load Motionctrl-SVD Checkpoint",
+            "Motionctrl-SVD Sample Simple"
+        ],
+        {
+            "title_aux": "ComfyUI-MotionCtrl-SVD"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MuseTalk": [
+        [
+            "MuseTalkCupAudio",
+            "MuseTalkRun",
+            "VHS_FILENAMES_STRING_MuseTalk"
+        ],
+        {
+            "title_aux": "ComfyUI-MuseTalk"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MuseV": [
+        [
+            "MuseVRun",
+            "MuseVRunVid2Vid",
+            "VHS_FILENAMES_STRING_MuseV"
+        ],
+        {
+            "author": "infguo",
+            "title_aux": "ComfyUI-MuseV"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Open-Sora": [
+        [
+            "OpenSoraLoader",
+            "OpenSoraRun",
+            "OpenSoraSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-Open-Sora"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Open-Sora-Plan": [
+        [
+            "OpenSoraPlanDecode",
+            "OpenSoraPlanLoader",
+            "OpenSoraPlanRun",
+            "OpenSoraPlanSample"
+        ],
+        {
+            "title_aux": "ComfyUI-Open-Sora-Plan"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Panda3d": [
+        [
+            "Panda3dAmbientLight",
+            "Panda3dAttachNewNode",
+            "Panda3dBase",
+            "Panda3dDirectionalLight",
+            "Panda3dLoadDepthModel",
+            "Panda3dLoadModel",
+            "Panda3dLoadTexture",
+            "Panda3dModelMerge",
+            "Panda3dTest",
+            "Panda3dTextureMerge"
+        ],
+        {
+            "title_aux": "ComfyUI-Panda3d"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Pymunk": [
+        [
+            "PygameRun",
+            "PygameSurface",
+            "PymunkDynamicBox",
+            "PymunkDynamicCircle",
+            "PymunkRun",
+            "PymunkShapeMerge",
+            "PymunkSpace",
+            "PymunkStaticLine"
+        ],
+        {
+            "title_aux": "ComfyUI-Pymunk"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-RAFT": [
+        [
+            "Load MotionBrush",
+            "RAFT Run",
+            "Save MotionBrush",
+            "VizMotionBrush"
+        ],
+        {
+            "title_aux": "ComfyUI-RAFT"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-SimDA": [
+        [
+            "SimDALoader",
+            "SimDARun",
+            "SimDATrain",
+            "VHS_FILENAMES_STRING_SimDA"
+        ],
+        {
+            "title_aux": "ComfyUI-SimDA"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Trajectory": [
+        [
+            "Trajectory_Canvas_Tab"
+        ],
+        {
+            "author": "Lerc",
+            "description": "This extension provides a full page image editor with mask support. There are two nodes, one to receive images from the editor and one to send images to the editor.",
+            "nickname": "Canvas Tab",
+            "title": "Canvas Tab",
+            "title_aux": "ComfyUI-Trajectory"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Video-Editing-X-Attention": [
+        [
+            "StringList",
+            "VEXAGuidance",
+            "VEXALoader",
+            "VEXARun"
+        ],
+        {
+            "title_aux": "ComfyUI-Video-Editing-X-Attention"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-dust3r": [
+        [
+            "CameraPoseVideo",
+            "Dust3rLoader",
+            "Dust3rRun"
+        ],
+        {
+            "title_aux": "ComfyUI-dust3r"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI_StreamingT2V": [
+        [
+            "LoadText_StreamingT2V",
+            "PromptTravelIndex",
+            "SaveText_StreamingT2V",
+            "StreamingT2VLoaderAnimateDiff",
+            "StreamingT2VLoaderAnimateDiffModel",
+            "StreamingT2VLoaderEnhanceModel",
+            "StreamingT2VLoaderModelscopeModel",
+            "StreamingT2VLoaderModelscopeT2V",
+            "StreamingT2VLoaderSVD",
+            "StreamingT2VLoaderSVDModel",
+            "StreamingT2VLoaderStreamModel",
+            "StreamingT2VLoaderVidXTendModel",
+            "StreamingT2VRunEnhanceStep",
+            "StreamingT2VRunI2V",
+            "StreamingT2VRunLongStep",
+            "StreamingT2VRunLongStepVidXTendPipeline",
+            "StreamingT2VRunLongStepVidXTendPipelineCustomRef",
+            "StreamingT2VRunLongStepVidXTendPipelineCustomRefOutExtendOnly",
+            "StreamingT2VRunLongStepVidXTendPipelinePromptTravel",
+            "StreamingT2VRunShortStepAnimateDiff",
+            "StreamingT2VRunShortStepModelscopeT2V",
+            "StreamingT2VRunShortStepSVD",
+            "StreamingT2VRunT2V",
+            "VHS_FILENAMES_STRING_StreamingT2V"
+        ],
+        {
+            "title_aux": "ComfyUI_StreamingT2V"
+        }
+    ],
+    "https://github.com/chaosaiart/Chaosaiart-Nodes": [
+        [
+            "chaosaiart_Any_Switch",
+            "chaosaiart_Any_Switch_Big_Number",
+            "chaosaiart_Any_Switch_small",
+            "chaosaiart_CheckpointLoader",
+            "chaosaiart_CheckpointPrompt",
+            "chaosaiart_CheckpointPrompt2",
+            "chaosaiart_CheckpointPrompt_Frame",
+            "chaosaiart_CheckpointPrompt_FrameMixer",
+            "chaosaiart_ControlNetApply",
+            "chaosaiart_ControlNetApply2",
+            "chaosaiart_ControlNetApply3",
+            "chaosaiart_Denoising_Switch",
+            "chaosaiart_EmptyLatentImage",
+            "chaosaiart_FramePromptCLIPEncode",
+            "chaosaiart_Frame_Switch",
+            "chaosaiart_KSampler1",
+            "chaosaiart_KSampler2",
+            "chaosaiart_KSampler3",
+            "chaosaiart_KSampler4",
+            "chaosaiart_KSampler5",
+            "chaosaiart_KSampler7",
+            "chaosaiart_KSampler_a1",
+            "chaosaiart_KSampler_a1a",
+            "chaosaiart_KSampler_a2",
+            "chaosaiart_KSampler_expert_0",
+            "chaosaiart_KSampler_expert_1",
+            "chaosaiart_Ksampler_attribut",
+            "chaosaiart_Load_Image_Batch",
+            "chaosaiart_Load_Image_Batch_2img",
+            "chaosaiart_MainPromptCLIPEncode",
+            "chaosaiart_Number",
+            "chaosaiart_Number2",
+            "chaosaiart_Number_Counter",
+            "chaosaiart_Number_Switch",
+            "chaosaiart_Prompt",
+            "chaosaiart_Prompt_Frame",
+            "chaosaiart_Prompt_mixer_byFrame",
+            "chaosaiart_SaveImage",
+            "chaosaiart_Show_Info",
+            "chaosaiart_Simple_Prompt",
+            "chaosaiart_Style_Node",
+            "chaosaiart_TextCLIPEncode",
+            "chaosaiart_TextCLIPEncode_lora",
+            "chaosaiart_adjust_color",
+            "chaosaiart_any_array2input_1Input",
+            "chaosaiart_any_array2input_all_big",
+            "chaosaiart_any_array2input_all_small",
+            "chaosaiart_any_input2array_big",
+            "chaosaiart_any_input2array_small",
+            "chaosaiart_controlnet_weidgth",
+            "chaosaiart_convert",
+            "chaosaiart_convert_Prompt",
+            "chaosaiart_forPreview",
+            "chaosaiart_image_loop",
+            "chaosaiart_img2gif",
+            "chaosaiart_img2video",
+            "chaosaiart_lora",
+            "chaosaiart_lora_advanced",
+            "chaosaiart_merge_Folders",
+            "chaosaiart_oneNode",
+            "chaosaiart_reloadAny_Load",
+            "chaosaiart_reloadAny_Save",
+            "chaosaiart_reloadIMG_Load",
+            "chaosaiart_reloadIMG_Save",
+            "chaosaiart_reloadLatent_Load",
+            "chaosaiart_reloadLatent_Save",
+            "chaosaiart_restarter",
+            "chaosaiart_restarter_advanced",
+            "chaosaiart_video2img1",
+            "chaosaiart_zoom_frame"
+        ],
+        {
+            "title_aux": "Chaosaiart-Nodes"
+        }
+    ],
+    "https://github.com/chesnokovivan/ComfyUI-Novakid": [
+        [
+            "Novakid Styler"
+        ],
+        {
+            "title_aux": "ComfyUI-Novakid"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_CatVTON_Wrapper": [
+        [
+            "CatVTONWrapper"
+        ],
+        {
+            "author": "chflame",
+            "description": "CatVTON warpper for ComfyUI",
+            "nickname": "CatVTON_Wrapper",
+            "title": "CatVTON_Wrapper",
+            "title_aux": "ComfyUI_CatVTON_Wrapper"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_FaceSimilarity": [
+        [
+            "Face Similarity"
+        ],
+        {
+            "title_aux": "ComfyUI Face Similarity"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_LayerStyle": [
+        [
+            "LayerColor: AutoAdjust",
+            "LayerColor: AutoAdjustV2",
+            "LayerColor: AutoBrightness",
+            "LayerColor: Brightness & Contrast",
+            "LayerColor: Color of Shadow & Highlight",
+            "LayerColor: ColorAdapter",
+            "LayerColor: ColorBalance",
+            "LayerColor: ColorTemperature",
+            "LayerColor: Exposure",
+            "LayerColor: Gamma",
+            "LayerColor: HSV",
+            "LayerColor: LAB",
+            "LayerColor: LUT Apply",
+            "LayerColor: Levels",
+            "LayerColor: RGB",
+            "LayerColor: YUV",
+            "LayerFilter: AddGrain",
+            "LayerFilter: ChannelShake",
+            "LayerFilter: ColorMap",
+            "LayerFilter: Film",
+            "LayerFilter: FilmV2",
+            "LayerFilter: GaussianBlur",
+            "LayerFilter: HDREffects",
+            "LayerFilter: LightLeak",
+            "LayerFilter: MotionBlur",
+            "LayerFilter: Sharp & Soft",
+            "LayerFilter: SkinBeauty",
+            "LayerFilter: SoftLight",
+            "LayerFilter: WaterColor",
+            "LayerMask: BBoxJoin",
+            "LayerMask: BiRefNetUltra",
+            "LayerMask: BlendIf Mask",
+            "LayerMask: CreateGradientMask",
+            "LayerMask: EVFSAMUltra",
+            "LayerMask: Florence2Ultra",
+            "LayerMask: ImageToMask",
+            "LayerMask: LoadFlorence2Model",
+            "LayerMask: MaskBoxDetect",
+            "LayerMask: MaskByColor",
+            "LayerMask: MaskByDifferent",
+            "LayerMask: MaskEdgeShrink",
+            "LayerMask: MaskEdgeUltraDetail",
+            "LayerMask: MaskEdgeUltraDetail V2",
+            "LayerMask: MaskGradient",
+            "LayerMask: MaskGrain",
+            "LayerMask: MaskGrow",
+            "LayerMask: MaskInvert",
+            "LayerMask: MaskMotionBlur",
+            "LayerMask: MaskPreview",
+            "LayerMask: MaskStroke",
+            "LayerMask: MediapipeFacialSegment",
+            "LayerMask: ObjectDetectorFL2",
+            "LayerMask: ObjectDetectorMask",
+            "LayerMask: ObjectDetectorYOLO8",
+            "LayerMask: ObjectDetectorYOLOWorld",
+            "LayerMask: PersonMaskUltra",
+            "LayerMask: PersonMaskUltra V2",
+            "LayerMask: PixelSpread",
+            "LayerMask: RemBgUltra",
+            "LayerMask: RmBgUltra V2",
+            "LayerMask: SAM2Ultra",
+            "LayerMask: SAM2VideoUltra",
+            "LayerMask: SegformerB2ClothesUltra",
+            "LayerMask: SegformerClothesPipelineLoader",
+            "LayerMask: SegformerFashionPipelineLoader",
+            "LayerMask: SegformerUltraV2",
+            "LayerMask: SegmentAnythingUltra",
+            "LayerMask: SegmentAnythingUltra V2",
+            "LayerMask: Shadow & Highlight Mask",
+            "LayerMask: TransparentBackgroundUltra",
+            "LayerMask: YoloV8Detect",
+            "LayerStyle: ColorOverlay",
+            "LayerStyle: ColorOverlay V2",
+            "LayerStyle: DropShadow",
+            "LayerStyle: DropShadow V2",
+            "LayerStyle: Gradient Map",
+            "LayerStyle: GradientOverlay",
+            "LayerStyle: GradientOverlay V2",
+            "LayerStyle: InnerGlow",
+            "LayerStyle: InnerGlow V2",
+            "LayerStyle: InnerShadow",
+            "LayerStyle: InnerShadow V2",
+            "LayerStyle: OuterGlow",
+            "LayerStyle: OuterGlow V2",
+            "LayerStyle: Stroke",
+            "LayerStyle: Stroke V2",
+            "LayerUtility: AddBlindWaterMark",
+            "LayerUtility: BatchSelector",
+            "LayerUtility: Boolean",
+            "LayerUtility: BooleanOperator",
+            "LayerUtility: BooleanOperatorV2",
+            "LayerUtility: CheckMask",
+            "LayerUtility: CheckMaskV2",
+            "LayerUtility: ColorImage",
+            "LayerUtility: ColorImage V2",
+            "LayerUtility: ColorPicker",
+            "LayerUtility: CreateQRCode",
+            "LayerUtility: CropBoxResolve",
+            "LayerUtility: CropByMask",
+            "LayerUtility: CropByMask V2",
+            "LayerUtility: DecodeQRCode",
+            "LayerUtility: ExtendCanvas",
+            "LayerUtility: ExtendCanvasV2",
+            "LayerUtility: Float",
+            "LayerUtility: Florence2Image2Prompt",
+            "LayerUtility: GetColorTone",
+            "LayerUtility: GetColorToneV2",
+            "LayerUtility: GetImageSize",
+            "LayerUtility: GradientImage",
+            "LayerUtility: GradientImage V2",
+            "LayerUtility: HLFrequencyDetailRestore",
+            "LayerUtility: HSV Value",
+            "LayerUtility: If",
+            "LayerUtility: ImageAutoCrop",
+            "LayerUtility: ImageAutoCrop V2",
+            "LayerUtility: ImageAutoCrop V3",
+            "LayerUtility: ImageBlend",
+            "LayerUtility: ImageBlend V2",
+            "LayerUtility: ImageBlendAdvance",
+            "LayerUtility: ImageBlendAdvance V2",
+            "LayerUtility: ImageChannelMerge",
+            "LayerUtility: ImageChannelSplit",
+            "LayerUtility: ImageCombineAlpha",
+            "LayerUtility: ImageHub",
+            "LayerUtility: ImageMaskScaleAs",
+            "LayerUtility: ImageOpacity",
+            "LayerUtility: ImageReel",
+            "LayerUtility: ImageReelComposit",
+            "LayerUtility: ImageRemoveAlpha",
+            "LayerUtility: ImageRewardFilter",
+            "LayerUtility: ImageScaleByAspectRatio",
+            "LayerUtility: ImageScaleByAspectRatio V2",
+            "LayerUtility: ImageScaleRestore",
+            "LayerUtility: ImageScaleRestore V2",
+            "LayerUtility: ImageShift",
+            "LayerUtility: ImageTaggerSave",
+            "LayerUtility: Integer",
+            "LayerUtility: LaMa",
+            "LayerUtility: LayerImageTransform",
+            "LayerUtility: LayerMaskTransform",
+            "LayerUtility: LoadPSD",
+            "LayerUtility: NumberCalculator",
+            "LayerUtility: NumberCalculatorV2",
+            "LayerUtility: PrintInfo",
+            "LayerUtility: PromptEmbellish",
+            "LayerUtility: PromptTagger",
+            "LayerUtility: PurgeVRAM",
+            "LayerUtility: QWenImage2Prompt",
+            "LayerUtility: QueueStop",
+            "LayerUtility: RGB Value",
+            "LayerUtility: RandomGenerator",
+            "LayerUtility: RestoreCropBox",
+            "LayerUtility: SD3NegativeConditioning",
+            "LayerUtility: SaveImagePlus",
+            "LayerUtility: Seed",
+            "LayerUtility: ShowBlindWaterMark",
+            "LayerUtility: SimpleTextImage",
+            "LayerUtility: String",
+            "LayerUtility: StringCondition",
+            "LayerUtility: SwitchCase",
+            "LayerUtility: TextBox",
+            "LayerUtility: TextImage",
+            "LayerUtility: TextJoin",
+            "LayerUtility: XY to Percent"
+        ],
+        {
+            "author": "chflame",
+            "description": "A set of nodes for ComfyUI that can composite layer and mask to achieve Photoshop like functionality.",
+            "nickname": "LayerStyle",
+            "title": "LayerStyle",
+            "title_aux": "ComfyUI Layer Style"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_MSSpeech_TTS": [
+        [
+            "Input Trigger",
+            "MicrosoftSpeech_TTS",
+            "Play Sound",
+            "Play Sound (loop)"
+        ],
+        {
+            "title_aux": "ComfyUI_MSSpeech_TTS"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_WordCloud": [
+        [
+            "ComfyWordCloud",
+            "LoadTextFile",
+            "RGB_Picker"
+        ],
+        {
+            "title_aux": "ComfyUI_WordCloud"
+        }
+    ],
+    "https://github.com/chibiace/ComfyUI-Chibi-Nodes": [
+        [
+            "ConditionText",
+            "ConditionTextMulti",
+            "ConditionTextPrompts",
+            "ImageAddText",
+            "ImageSimpleResize",
+            "ImageSizeInfo",
+            "ImageTool",
+            "Int2String",
+            "LoadEmbedding",
+            "LoadImageExtended",
+            "Loader",
+            "Prompts",
+            "RandomResolutionLatent",
+            "SaveImages",
+            "SeedGenerator",
+            "SimpleSampler",
+            "TextSplit",
+            "Textbox",
+            "Wildcards"
+        ],
+        {
+            "title_aux": "ComfyUI-Chibi-Nodes"
+        }
+    ],
+    "https://github.com/choey/Comfy-Topaz": [
+        [
+            "TopazPhotoAI",
+            "TopazSharpenSettings",
+            "TopazUpscaleSettings"
+        ],
+        {
+            "title_aux": "Comfy-Topaz"
+        }
+    ],
+    "https://github.com/chris-the-wiz/EmbeddingsCurveEditor_ComfyUI": [
+        [
+            "Embeddings Curve Editor"
+        ],
+        {
+            "title_aux": "EmbeddingsCurveEditor_ComfyUI"
+        }
+    ],
+    "https://github.com/chrisfreilich/virtuoso-nodes": [
+        [
+            "BlackAndWhite",
+            "BlendIf",
+            "BlendModes",
+            "ColorBalance",
+            "ColorBalanceAdvanced",
+            "GaussianBlur",
+            "GaussianBlurDepth",
+            "HueSat",
+            "HueSatAdvanced",
+            "LensBlur",
+            "LensBlurDepth",
+            "Levels",
+            "MergeRGB",
+            "MotionBlur",
+            "MotionBlurDepth",
+            "SelectiveColor",
+            "SolidColor",
+            "SolidColorHSV",
+            "SolidColorRGB",
+            "SplitRGB"
+        ],
+        {
+            "author": "Chris Freilich",
+            "description": "This extension provides blur nodes.",
+            "nickname": "Virtuoso Pack - Blur",
+            "title": "Virtuoso Pack - Blur",
+            "title_aux": "Virtuoso Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/chrisgoringe/cg-image-picker": [
+        [
+            "Preview Chooser",
+            "Preview Chooser Fabric",
+            "Simple Chooser"
+        ],
+        {
+            "author": "chrisgoringe",
+            "description": "Custom nodes that preview images and pause the workflow to allow the user to select one or more to progress",
+            "nickname": "Image Chooser",
+            "title": "Image Chooser",
+            "title_aux": "Image chooser"
+        }
+    ],
+    "https://github.com/chrisgoringe/cg-noisetools": [
+        [
+            "Batch Noise Simulate",
+            "Mix Noise",
+            "Seperable Batch Noise",
+            "Shape Noise"
+        ],
+        {
+            "title_aux": "Noise variation and batch noise tools"
+        }
+    ],
+    "https://github.com/chrisgoringe/cg-use-everywhere": [
+        [
+            "Seed Everywhere"
+        ],
+        {
+            "nodename_pattern": "(^(Prompts|Anything) Everywhere|Simple String)",
+            "title_aux": "Use Everywhere (UE Nodes)"
+        }
+    ],
+    "https://github.com/christian-byrne/audio-separation-nodes-comfyui": [
+        [
+            "AudioCombine",
+            "AudioCrop",
+            "AudioGetTempo",
+            "AudioSeparation",
+            "AudioSpeedShift",
+            "AudioTempoMatch",
+            "AudioVideoCombine"
+        ],
+        {
+            "title_aux": "audio-separation-nodes-comfyui"
+        }
+    ],
+    "https://github.com/christian-byrne/img2colors-comfyui-node": [
+        [
+            "bmy_Img2ColorNode"
+        ],
+        {
+            "author": "christian-byrne",
+            "description": "",
+            "nickname": "img2color",
+            "title": "Img2Color Node - Detect and describe color palettes in images",
+            "title_aux": "Img2color - Extract Colors from Image"
+        }
+    ],
+    "https://github.com/christian-byrne/img2txt-comfyui-nodes": [
+        [
+            "img2txt BLIP/Llava Multimodel Tagger"
+        ],
+        {
+            "author": "christian-byrne",
+            "title": "Img2Txt auto captioning",
+            "title_aux": "img2txt-comfyui-nodes"
+        }
+    ],
+    "https://github.com/christian-byrne/size-match-compositing-nodes": [
+        [
+            "Composite Alpha Layer",
+            "Size Match Images/Masks"
+        ],
+        {
+            "title_aux": "Node - Size Matcher"
+        }
+    ],
+    "https://github.com/christian-byrne/youtube-dl-comfyui": [
+        [
+            "YoutubeDL"
+        ],
+        {
+            "title_aux": "youtube-dl-comfyui"
+        }
+    ],
+    "https://github.com/city96/ComfyUI-GGUF": [
+        [
+            "CLIPLoaderGGUF",
+            "DualCLIPLoaderGGUF",
+            "TripleCLIPLoaderGGUF",
+            "UnetLoaderGGUF",
+            "UnetLoaderGGUFAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI-GGUF"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_ColorMod": [
+        [
+            "CV2Tonemap",
+            "CV2TonemapDrago",
+            "CV2TonemapDurand",
+            "CV2TonemapMantiuk",
+            "CV2TonemapReinhard",
+            "ColorModCompress",
+            "ColorModEdges",
+            "ColorModMove",
+            "ColorModPivot",
+            "ColorspaceConvert",
+            "HDRCreate",
+            "HDRExposureFusion",
+            "LoadImageHDR",
+            "LoadImageHighPrec",
+            "PreviewImageHighPrec",
+            "SaveImageHDR",
+            "SaveImageHighPrec"
+        ],
+        {
+            "title_aux": "ComfyUI_ColorMod"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_DiT": [
+        [
+            "DiTCheckpointLoader",
+            "DiTCheckpointLoaderSimple",
+            "DiTLabelCombine",
+            "DiTLabelSelect",
+            "DiTSampler"
+        ],
+        {
+            "title_aux": "ComfyUI_DiT [WIP]"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_ExtraModels": [
+        [
+            "DiTCondLabelEmpty",
+            "DiTCondLabelSelect",
+            "DitCheckpointLoader",
+            "ExtraVAELoader",
+            "HYDiTCheckpointLoader",
+            "HYDiTSrcSizeCond",
+            "HYDiTTextEncode",
+            "HYDiTTextEncodeSimple",
+            "HYDiTTextEncoderLoader",
+            "MiaoBiCLIPLoader",
+            "MiaoBiDiffusersLoader",
+            "OverrideCLIPDevice",
+            "OverrideVAEDevice",
+            "PixArtCheckpointLoader",
+            "PixArtCheckpointLoaderSimple",
+            "PixArtControlNetCond",
+            "PixArtLoraLoader",
+            "PixArtResolutionCond",
+            "PixArtResolutionSelect",
+            "PixArtT5FromSD3CLIP",
+            "PixArtT5TextEncode",
+            "T5TextEncode",
+            "T5v11Loader"
+        ],
+        {
+            "title_aux": "Extra Models for ComfyUI"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_NetDist": [
+        [
+            "CombineImageBatch",
+            "FetchRemote",
+            "LoadCurrentWorkflowJSON",
+            "LoadDiskWorkflowJSON",
+            "LoadImageUrl",
+            "LoadLatentNumpy",
+            "LoadLatentUrl",
+            "RemoteChainEnd",
+            "RemoteChainStart",
+            "RemoteQueueSimple",
+            "RemoteQueueWorker",
+            "SaveDiskWorkflowJSON",
+            "SaveImageUrl",
+            "SaveLatentNumpy"
+        ],
+        {
+            "title_aux": "ComfyUI_NetDist"
+        }
+    ],
+    "https://github.com/city96/SD-Advanced-Noise": [
+        [
+            "LatentGaussianNoise",
+            "MathEncode"
+        ],
+        {
+            "title_aux": "SD-Advanced-Noise"
+        }
+    ],
+    "https://github.com/city96/SD-Latent-Interposer": [
+        [
+            "LatentInterposer"
+        ],
+        {
+            "title_aux": "Latent-Interposer"
+        }
+    ],
+    "https://github.com/city96/SD-Latent-Upscaler": [
+        [
+            "LatentUpscaler"
+        ],
+        {
+            "title_aux": "SD-Latent-Upscaler"
+        }
+    ],
+    "https://github.com/civitai/comfy-nodes": [
+        [
+            "CivitAI_Checkpoint_Loader",
+            "CivitAI_Lora_Loader"
+        ],
+        {
+            "title_aux": "comfy-nodes"
+        }
+    ],
+    "https://github.com/claussteinmassl/ComfyUI-CS-CustomNodes": [
+        [
+            "CS Transform"
+        ],
+        {
+            "title_aux": "CS Transform Node for ComfyUI"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI": [
+        [
+            "AddNoise",
+            "AlignYourStepsScheduler",
+            "BasicGuider",
+            "BasicScheduler",
+            "BetaSamplingScheduler",
+            "CFGGuider",
+            "CLIPAttentionMultiply",
+            "CLIPLoader",
+            "CLIPMergeAdd",
+            "CLIPMergeSimple",
+            "CLIPMergeSubtract",
+            "CLIPSave",
+            "CLIPSetLastLayer",
+            "CLIPTextEncode",
+            "CLIPTextEncodeControlnet",
+            "CLIPTextEncodeFlux",
+            "CLIPTextEncodeHunyuanDiT",
+            "CLIPTextEncodeSD3",
+            "CLIPTextEncodeSDXL",
+            "CLIPTextEncodeSDXLRefiner",
+            "CLIPVisionEncode",
+            "CLIPVisionLoader",
+            "Canny",
+            "CheckpointLoader",
+            "CheckpointLoaderSimple",
+            "CheckpointSave",
+            "ConditioningAverage",
+            "ConditioningCombine",
+            "ConditioningConcat",
+            "ConditioningSetArea",
+            "ConditioningSetAreaPercentage",
+            "ConditioningSetAreaStrength",
+            "ConditioningSetMask",
+            "ConditioningSetTimestepRange",
+            "ConditioningZeroOut",
+            "ControlNetApply",
+            "ControlNetApplyAdvanced",
+            "ControlNetApplySD3",
+            "ControlNetLoader",
+            "CropMask",
+            "DiffControlNetLoader",
+            "DifferentialDiffusion",
+            "DiffusersLoader",
+            "DisableNoise",
+            "DualCFGGuider",
+            "DualCLIPLoader",
+            "EmptyImage",
+            "EmptyLatentAudio",
+            "EmptyLatentImage",
+            "EmptySD3LatentImage",
+            "ExponentialScheduler",
+            "FeatherMask",
+            "FlipSigmas",
+            "FluxGuidance",
+            "FreeU",
+            "FreeU_V2",
+            "GITSScheduler",
+            "GLIGENLoader",
+            "GLIGENTextBoxApply",
+            "GrowMask",
+            "HyperTile",
+            "HypernetworkLoader",
+            "ImageBatch",
+            "ImageBlend",
+            "ImageBlur",
+            "ImageColorToMask",
+            "ImageCompositeMasked",
+            "ImageCrop",
+            "ImageFromBatch",
+            "ImageInvert",
+            "ImageOnlyCheckpointLoader",
+            "ImageOnlyCheckpointSave",
+            "ImagePadForOutpaint",
+            "ImageQuantize",
+            "ImageScale",
+            "ImageScaleBy",
+            "ImageScaleToTotalPixels",
+            "ImageSharpen",
+            "ImageToMask",
+            "ImageUpscaleWithModel",
+            "InpaintModelConditioning",
+            "InstructPixToPixConditioning",
+            "InvertMask",
+            "JoinImageWithAlpha",
+            "KSampler",
+            "KSamplerAdvanced",
+            "KSamplerSelect",
+            "KarrasScheduler",
+            "LatentAdd",
+            "LatentBatch",
+            "LatentBatchSeedBehavior",
+            "LatentBlend",
+            "LatentComposite",
+            "LatentCompositeMasked",
+            "LatentCrop",
+            "LatentFlip",
+            "LatentFromBatch",
+            "LatentInterpolate",
+            "LatentMultiply",
+            "LatentRotate",
+            "LatentSubtract",
+            "LatentUpscale",
+            "LatentUpscaleBy",
+            "LoadAudio",
+            "LoadImage",
+            "LoadImageMask",
+            "LoadLatent",
+            "LoraLoader",
+            "LoraLoaderModelOnly",
+            "MaskComposite",
+            "MaskToImage",
+            "ModelMergeAdd",
+            "ModelMergeBlocks",
+            "ModelMergeFlux1",
+            "ModelMergeSD1",
+            "ModelMergeSD2",
+            "ModelMergeSD3_2B",
+            "ModelMergeSDXL",
+            "ModelMergeSimple",
+            "ModelMergeSubtract",
+            "ModelSamplingAuraFlow",
+            "ModelSamplingContinuousEDM",
+            "ModelSamplingContinuousV",
+            "ModelSamplingDiscrete",
+            "ModelSamplingFlux",
+            "ModelSamplingSD3",
+            "ModelSamplingStableCascade",
+            "ModelSave",
+            "Morphology",
+            "PatchModelAddDownscale",
+            "PerpNeg",
+            "PerpNegGuider",
+            "PerturbedAttentionGuidance",
+            "PhotoMakerEncode",
+            "PhotoMakerLoader",
+            "PolyexponentialScheduler",
+            "PorterDuffImageComposite",
+            "PreviewAudio",
+            "PreviewImage",
+            "RandomNoise",
+            "RebatchImages",
+            "RebatchLatents",
+            "RepeatImageBatch",
+            "RepeatLatentBatch",
+            "RescaleCFG",
+            "SDTurboScheduler",
+            "SD_4XUpscale_Conditioning",
+            "SV3D_Conditioning",
+            "SVD_img2vid_Conditioning",
+            "SamplerCustom",
+            "SamplerCustomAdvanced",
+            "SamplerDPMAdaptative",
+            "SamplerDPMPP_2M_SDE",
+            "SamplerDPMPP_2S_Ancestral",
+            "SamplerDPMPP_3M_SDE",
+            "SamplerDPMPP_SDE",
+            "SamplerEulerAncestral",
+            "SamplerEulerAncestralCFGPP",
+            "SamplerEulerCFGpp",
+            "SamplerLCMUpscale",
+            "SamplerLMS",
+            "SaveAnimatedPNG",
+            "SaveAnimatedWEBP",
+            "SaveAudio",
+            "SaveImage",
+            "SaveImageWebsocket",
+            "SaveLatent",
+            "SelfAttentionGuidance",
+            "SetLatentNoiseMask",
+            "SetUnionControlNetType",
+            "SolidMask",
+            "SplitImageWithAlpha",
+            "SplitSigmas",
+            "SplitSigmasDenoise",
+            "StableCascade_EmptyLatentImage",
+            "StableCascade_StageB_Conditioning",
+            "StableCascade_StageC_VAEEncode",
+            "StableCascade_SuperResolutionControlnet",
+            "StableZero123_Conditioning",
+            "StableZero123_Conditioning_Batched",
+            "StubConstantImage",
+            "StubFloat",
+            "StubImage",
+            "StubInt",
+            "StubMask",
+            "StyleModelApply",
+            "StyleModelLoader",
+            "TestAccumulateNode",
+            "TestAccumulationGetItemNode",
+            "TestAccumulationGetLengthNode",
+            "TestAccumulationHeadNode",
+            "TestAccumulationSetItemNode",
+            "TestAccumulationTailNode",
+            "TestAccumulationToListNode",
+            "TestBoolOperationNode",
+            "TestCustomIsChanged",
+            "TestCustomValidation1",
+            "TestCustomValidation2",
+            "TestCustomValidation3",
+            "TestCustomValidation4",
+            "TestCustomValidation5",
+            "TestDynamicDependencyCycle",
+            "TestExecutionBlocker",
+            "TestFloatConditions",
+            "TestForLoopClose",
+            "TestForLoopOpen",
+            "TestIntConditions",
+            "TestIntMathOperation",
+            "TestIsChangedWithConstants",
+            "TestLazyMixImages",
+            "TestListToAccumulationNode",
+            "TestMakeListNode",
+            "TestMixedExpansionReturns",
+            "TestStringConditions",
+            "TestToBoolNode",
+            "TestVariadicAverage",
+            "TestWhileLoopClose",
+            "TestWhileLoopOpen",
+            "ThresholdMask",
+            "TomePatchModel",
+            "TripleCLIPLoader",
+            "UNETLoader",
+            "UNetCrossAttentionMultiply",
+            "UNetSelfAttentionMultiply",
+            "UNetTemporalAttentionMultiply",
+            "UpscaleModelLoader",
+            "VAEDecode",
+            "VAEDecodeAudio",
+            "VAEDecodeTiled",
+            "VAEEncode",
+            "VAEEncodeAudio",
+            "VAEEncodeForInpaint",
+            "VAEEncodeTiled",
+            "VAELoader",
+            "VAESave",
+            "VPScheduler",
+            "VideoLinearCFGGuidance",
+            "VideoTriangleCFGGuidance",
+            "WebcamCapture",
+            "unCLIPCheckpointLoader",
+            "unCLIPConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI_TensorRT": [
+        [
+            "DYNAMIC_TRT_MODEL_CONVERSION",
+            "STATIC_TRT_MODEL_CONVERSION",
+            "TensorRTLoader"
+        ],
+        {
+            "title_aux": "TensorRT Node for ComfyUI"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI_experiments": [
+        [
+            "ModelMergeBlockNumber",
+            "ModelMergeSDXL",
+            "ModelMergeSDXLDetailedTransformers",
+            "ModelMergeSDXLTransformers",
+            "ModelSamplerTonemapNoiseTest",
+            "ReferenceOnlySimple",
+            "RescaleClassifierFreeGuidanceTest",
+            "TonemapNoiseWithRescaleCFG"
+        ],
+        {
+            "title_aux": "ComfyUI_experiments"
+        }
+    ],
+    "https://github.com/concarne000/ConCarneNode": [
+        [
+            "BingImageGrabber",
+            "Hermes",
+            "Zephyr"
+        ],
+        {
+            "title_aux": "ConCarneNode"
+        }
+    ],
+    "https://github.com/conquestace/ComfyUI-ImageUploader": [
+        [
+            "ImageUploader"
+        ],
+        {
+            "author": "ConquestAce",
+            "description": "Upload to temporary websites with API.",
+            "nickname": "Image Uploader",
+            "title": "Image Uploader",
+            "title_aux": "Image Uploader"
+        }
+    ],
+    "https://github.com/coreyryanhanson/ComfyQR": [
+        [
+            "comfy-qr-by-image-size",
+            "comfy-qr-by-module-size",
+            "comfy-qr-by-module-split",
+            "comfy-qr-mask_errors"
+        ],
+        {
+            "title_aux": "ComfyQR"
+        }
+    ],
+    "https://github.com/coreyryanhanson/ComfyQR-scanning-nodes": [
+        [
+            "comfy-qr-read",
+            "comfy-qr-validate"
+        ],
+        {
+            "title_aux": "ComfyQR-scanning-nodes"
+        }
+    ],
+    "https://github.com/cozy-comfyui/cozy_comm": [
+        [
+            "CozyDiscordPost"
+        ],
+        {
+            "nodename_pattern": " \\(cozy\\)",
+            "title_aux": "Cozy Communication"
+        }
+    ],
+    "https://github.com/cozymantis/cozy-utils-comfyui-nodes": [
+        [
+            "Cozy Sampler Options"
+        ],
+        {
+            "title_aux": "Cozy Utils"
+        }
+    ],
+    "https://github.com/cozymantis/human-parser-comfyui-node": [
+        [
+            "Cozy Human Parser ATR",
+            "Cozy Human Parser LIP",
+            "Cozy Human Parser Pascal"
+        ],
+        {
+            "title_aux": "Cozy Human Parser"
+        }
+    ],
+    "https://github.com/cozymantis/pose-generator-comfyui-node": [
+        [
+            "Cozy Pose Body Reference",
+            "Cozy Pose Face Reference"
+        ],
+        {
+            "title_aux": "Cozy Reference Pose Generator"
+        }
+    ],
+    "https://github.com/crystian/ComfyUI-Crystools": [
+        [],
+        {
+            "author": "Crystian",
+            "description": "Plugins for multiples uses, mainly for debugging, you need them! IG: https://www.instagram.com/crystian.ia",
+            "nickname": "Crystools",
+            "nodename_pattern": " \\[Crystools\\]$",
+            "title": "Crystools",
+            "title_aux": "Crystools"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_FaceAnalysis": [
+        [
+            "FaceAlign",
+            "FaceAnalysisModels",
+            "FaceBoundingBox",
+            "FaceEmbedDistance",
+            "FaceSegmentation",
+            "FaceWarp"
+        ],
+        {
+            "title_aux": "Face Analysis for ComfyUI"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_IPAdapter_plus": [
+        [
+            "IPAAdapterFaceIDBatch",
+            "IPAdapter",
+            "IPAdapterAdvanced",
+            "IPAdapterBatch",
+            "IPAdapterClipVisionEnhancer",
+            "IPAdapterClipVisionEnhancerBatch",
+            "IPAdapterCombineEmbeds",
+            "IPAdapterCombineParams",
+            "IPAdapterCombineWeights",
+            "IPAdapterEmbeds",
+            "IPAdapterEmbedsBatch",
+            "IPAdapterEncoder",
+            "IPAdapterFaceID",
+            "IPAdapterFaceIDKolors",
+            "IPAdapterFromParams",
+            "IPAdapterInsightFaceLoader",
+            "IPAdapterLoadEmbeds",
+            "IPAdapterMS",
+            "IPAdapterModelLoader",
+            "IPAdapterNoise",
+            "IPAdapterPreciseComposition",
+            "IPAdapterPreciseCompositionBatch",
+            "IPAdapterPreciseStyleTransfer",
+            "IPAdapterPreciseStyleTransferBatch",
+            "IPAdapterPromptScheduleFromWeightsStrategy",
+            "IPAdapterRegionalConditioning",
+            "IPAdapterSaveEmbeds",
+            "IPAdapterStyleComposition",
+            "IPAdapterStyleCompositionBatch",
+            "IPAdapterTiled",
+            "IPAdapterTiledBatch",
+            "IPAdapterUnifiedLoader",
+            "IPAdapterUnifiedLoaderCommunity",
+            "IPAdapterUnifiedLoaderFaceID",
+            "IPAdapterWeights",
+            "IPAdapterWeightsFromStrategy",
+            "PrepImageForClipVision"
+        ],
+        {
+            "preemptions": [
+                "IPAAdapterFaceIDBatch",
+                "IPAdapter",
+                "IPAdapterAdvanced",
+                "IPAdapterBatch",
+                "IPAdapterClipVisionEnhancer",
+                "IPAdapterClipVisionEnhancerBatch",
+                "IPAdapterCombineEmbeds",
+                "IPAdapterCombineParams",
+                "IPAdapterCombineWeights",
+                "IPAdapterEmbeds",
+                "IPAdapterEmbedsBatch",
+                "IPAdapterEncoder",
+                "IPAdapterFaceID",
+                "IPAdapterFromParams",
+                "IPAdapterInsightFaceLoader",
+                "IPAdapterLoadEmbeds",
+                "IPAdapterMS",
+                "IPAdapterModelLoader",
+                "IPAdapterNoise",
+                "IPAdapterPreciseComposition",
+                "IPAdapterPreciseCompositionBatch",
+                "IPAdapterPreciseStyleTransfer",
+                "IPAdapterPreciseStyleTransferBatch",
+                "IPAdapterPromptScheduleFromWeightsStrategy",
+                "IPAdapterRegionalConditioning",
+                "IPAdapterSaveEmbeds",
+                "IPAdapterStyleComposition",
+                "IPAdapterStyleCompositionBatch",
+                "IPAdapterTiled",
+                "IPAdapterTiledBatch",
+                "IPAdapterUnifiedLoader",
+                "IPAdapterUnifiedLoaderCommunity",
+                "IPAdapterUnifiedLoaderFaceID",
+                "IPAdapterWeights",
+                "IPAdapterWeightsFromStrategy",
+                "PrepImageForClipVision"
+            ],
+            "title_aux": "ComfyUI_IPAdapter_plus"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_InstantID": [
+        [
+            "ApplyInstantID",
+            "ApplyInstantIDAdvanced",
+            "ApplyInstantIDControlNet",
+            "FaceKeypointsPreprocessor",
+            "InstantIDAttentionPatch",
+            "InstantIDFaceAnalysis",
+            "InstantIDModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI InstantID (Native Support)"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_SimpleMath": [
+        [
+            "SimpleMath",
+            "SimpleMathDebug"
+        ],
+        {
+            "title_aux": "Simple Math"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_essentials": [
+        [
+            "ApplyCLIPSeg+",
+            "BatchCount+",
+            "CLIPTextEncodeSDXL+",
+            "ConditioningCombineMultiple+",
+            "ConsoleDebug+",
+            "DebugTensorShape+",
+            "DrawText+",
+            "ExtractKeyframes+",
+            "FluxSamplerParams+",
+            "GetImageSize+",
+            "ImageApplyLUT+",
+            "ImageBatchMultiple+",
+            "ImageBatchToList+",
+            "ImageCASharpening+",
+            "ImageColorMatch+",
+            "ImageColorMatchAdobe+",
+            "ImageComposite+",
+            "ImageCompositeFromMaskBatch+",
+            "ImageCrop+",
+            "ImageDesaturate+",
+            "ImageEnhanceDifference+",
+            "ImageExpandBatch+",
+            "ImageFlip+",
+            "ImageFromBatch+",
+            "ImageHistogramMatch+",
+            "ImageListToBatch+",
+            "ImagePosterize+",
+            "ImagePreviewFromLatent+",
+            "ImageRandomTransform+",
+            "ImageRemoveAlpha+",
+            "ImageRemoveBackground+",
+            "ImageResize+",
+            "ImageSeamCarving+",
+            "ImageSmartSharpen+",
+            "ImageTile+",
+            "ImageToDevice+",
+            "ImageUntile+",
+            "InjectLatentNoise+",
+            "KSamplerVariationsStochastic+",
+            "KSamplerVariationsWithNoise+",
+            "LoadCLIPSegModels+",
+            "LorasForFluxParams+",
+            "MaskBatch+",
+            "MaskBlur+",
+            "MaskBoundingBox+",
+            "MaskExpandBatch+",
+            "MaskFix+",
+            "MaskFlip+",
+            "MaskFromBatch+",
+            "MaskFromColor+",
+            "MaskFromList+",
+            "MaskFromRGBCMYBW+",
+            "MaskFromSegmentation+",
+            "MaskPreview+",
+            "MaskSmooth+",
+            "ModelCompile+",
+            "NoiseFromImage+",
+            "PixelOEPixelize+",
+            "PlotParameters+",
+            "RemBGSession+",
+            "RemoveLatentMask+",
+            "SD3NegativeConditioning+",
+            "SDXLEmptyLatentSizePicker+",
+            "SamplerSelectHelper+",
+            "SchedulerSelectHelper+",
+            "SimpleComparison+",
+            "SimpleCondition+",
+            "SimpleMath+",
+            "SimpleMathBoolean+",
+            "SimpleMathCondition+",
+            "SimpleMathDual+",
+            "SimpleMathFloat+",
+            "SimpleMathInt+",
+            "SimpleMathPercent+",
+            "SimpleMathSlider+",
+            "SimpleMathSliderLowRes+",
+            "TextEncodeForSamplerParams+",
+            "TransitionMask+",
+            "TransparentBGSession+"
+        ],
+        {
+            "title_aux": "ComfyUI Essentials"
+        }
+    ],
+    "https://github.com/cubiq/PuLID_ComfyUI": [
+        [
+            "ApplyPulid",
+            "ApplyPulidAdvanced",
+            "PulidEvaClipLoader",
+            "PulidInsightFaceLoader",
+            "PulidModelLoader"
+        ],
+        {
+            "title_aux": "PuLID_ComfyUI"
+        }
+    ],
+    "https://github.com/cuongloveit/comfy_http_request": [
+        [
+            "Send Http Request",
+            "Send Http request"
+        ],
+        {
+            "title_aux": "comfy_http_request"
+        }
+    ],
+    "https://github.com/curiousjp/ComfyUI-MaskBatchPermutations": [
+        [
+            "CombinatorialDetailer",
+            "FlattenAgainstOriginal",
+            "PermuteMaskBatch"
+        ],
+        {
+            "title_aux": "ComfyUI-MaskBatchPermutations"
+        }
+    ],
+    "https://github.com/czcz1024/Comfyui-FaceCompare": [
+        [
+            "FaceCompare"
+        ],
+        {
+            "author": "czcz1024",
+            "description": "Face Compare",
+            "nickname": "Face Compare",
+            "title": "Face Compare",
+            "title_aux": "Face Compare"
+        }
+    ],
+    "https://github.com/da2el-ai/ComfyUI-d2-send-eagle": [
+        [
+            "D2 Send Eagle"
+        ],
+        {
+            "author": "da2el",
+            "description": "Send images to Eagle, an image management application",
+            "title": "D2 Send Eagle",
+            "title_aux": "D2 Send Eagle"
+        }
+    ],
+    "https://github.com/da2el-ai/ComfyUI-d2-size-selector": [
+        [
+            "D2_SizeSelector"
+        ],
+        {
+            "author": "da2el",
+            "description": "Easy select image size",
+            "title": "D2 Size Selector",
+            "title_aux": "D2 Size Selector"
+        }
+    ],
+    "https://github.com/da2el-ai/ComfyUI-d2-steps": [
+        [
+            "D2 Refiner Steps",
+            "D2 Refiner Steps A1111",
+            "D2 Refiner Steps Tester"
+        ],
+        {
+            "author": "da2el",
+            "description": "Calculate the steps for the refiner",
+            "title": "D2 Steps",
+            "title_aux": "D2 Steps"
+        }
+    ],
+    "https://github.com/dadoirie/ComfyUI_Dados_Nodes": [
+        [
+            "PinterestImageNode"
+        ],
+        {
+            "title_aux": "ComfyUI_Dados_Nodes"
+        }
+    ],
+    "https://github.com/dagthomas/comfyui_dagthomas": [
+        [
+            "APNLatent",
+            "ApplyBloom",
+            "CFGSkimming",
+            "CustomPromptLoader",
+            "DynamicStringCombinerNode",
+            "FileReaderNode",
+            "FlexibleStringMergerNode",
+            "GPT4MiniNode",
+            "GPT4VisionNode",
+            "Gpt4CustomVision",
+            "Gpt4VisionCloner",
+            "MedianOppositeColorNode",
+            "OllamaNode",
+            "OllamaVisionNode",
+            "PGSD3LatentGenerator",
+            "PhiCustomModelInference",
+            "PhiModelInference",
+            "PhiModelLoader",
+            "ProminentOppositeColorNode",
+            "PromptGenerator",
+            "RandomIntegerNode",
+            "SentenceMixerNode",
+            "StringMergerNode"
+        ],
+        {
+            "title_aux": "SDXL Auto Prompter"
+        }
+    ],
+    "https://github.com/daniabib/ComfyUI_ProPainter_Nodes": [
+        [
+            "ProPainterInpaint",
+            "ProPainterOutpaint"
+        ],
+        {
+            "title_aux": "ComfyUI ProPainter Nodes"
+        }
+    ],
+    "https://github.com/daniel-lewis-ab/ComfyUI-Llama": [
+        [
+            "Call LLM Advanced",
+            "Call LLM Basic",
+            "LLM_Create_Completion Advanced",
+            "LLM_Detokenize",
+            "LLM_Embed",
+            "LLM_Eval",
+            "LLM_Load_State",
+            "LLM_Reset",
+            "LLM_Sample",
+            "LLM_Save_State",
+            "LLM_Token_BOS",
+            "LLM_Token_EOS",
+            "LLM_Tokenize",
+            "Load LLM Model Advanced",
+            "Load LLM Model Basic"
+        ],
+        {
+            "title_aux": "ComfyUI-Llama"
+        }
+    ],
+    "https://github.com/daniel-lewis-ab/ComfyUI-TTS": [
+        [
+            "Load_Piper_Model",
+            "Piper_Speak_Text"
+        ],
+        {
+            "title_aux": "ComfyUI-TTS"
+        }
+    ],
+    "https://github.com/darkpixel/darkprompts": [
+        [
+            "DarkCheckpointRandomizer",
+            "DarkCheckpointSwitcher",
+            "DarkCombine",
+            "DarkFaceIndexGenerator",
+            "DarkFaceIndexShuffle",
+            "DarkFolders",
+            "DarkLoRALoader",
+            "DarkPrompt"
+        ],
+        {
+            "title_aux": "DarkPrompts"
+        }
+    ],
+    "https://github.com/daryltucker/ComfyUI-LoadFiles": [
+        [
+            "CountLines",
+            "ListFilenames",
+            "LoadImages"
+        ],
+        {
+            "title_aux": "ComfyUI-LoadFiles"
+        }
+    ],
+    "https://github.com/dave-palt/comfyui_DSP_imagehelpers": [
+        [
+            "dsp-imagehelpers-concat"
+        ],
+        {
+            "title_aux": "comfyui_DSP_imagehelpers"
+        }
+    ],
+    "https://github.com/dawangraoming/ComfyUI_ksampler_gpu/raw/main/ksampler_gpu.py": [
+        [
+            "KSamplerAdvancedGPU",
+            "KSamplerGPU"
+        ],
+        {
+            "title_aux": "KSampler GPU"
+        }
+    ],
+    "https://github.com/daxcay/ComfyUI-DataSet": [
+        [
+            "DataSet_ConceptManager",
+            "DataSet_CopyFiles",
+            "DataSet_FindAndReplace",
+            "DataSet_LoadImage",
+            "DataSet_OpenAIChat",
+            "DataSet_OpenAIChatImage",
+            "DataSet_OpenAIChatImageBatch",
+            "DataSet_PathSelector",
+            "DataSet_SaveImage",
+            "DataSet_TextFilesLoad",
+            "DataSet_TextFilesLoadFromList",
+            "DataSet_TextFilesSave",
+            "DataSet_TriggerWords",
+            "DataSet_Visualizer"
+        ],
+        {
+            "author": "Daxton Caylor",
+            "description": "Data Research, Preparation, and Manipulation Nodes for Model Trainers, Artists, Designers, and Animators.",
+            "nickname": "ComfyUI-DataSet",
+            "title": "ComfyUI-DataSet",
+            "title_aux": "ComfyUI-DataSet"
+        }
+    ],
+    "https://github.com/daxcay/ComfyUI-JDCN": [
+        [
+            "JDCN_AnyCheckpointLoader",
+            "JDCN_AnyFileList",
+            "JDCN_AnyFileListHelper",
+            "JDCN_AnyFileListRandom",
+            "JDCN_AnyFileSelector",
+            "JDCN_BatchCounter",
+            "JDCN_BatchCounterAdvance",
+            "JDCN_BatchImageLoadFromDir",
+            "JDCN_BatchImageLoadFromList",
+            "JDCN_BatchLatentLoadFromDir",
+            "JDCN_BatchLatentLoadFromList",
+            "JDCN_BatchSaveLatent",
+            "JDCN_BoolInt",
+            "JDCN_EnableDisable",
+            "JDCN_FileMover",
+            "JDCN_ImageSaver",
+            "JDCN_ListToString",
+            "JDCN_ReBatch",
+            "JDCN_SeamlessExperience",
+            "JDCN_ShowAny",
+            "JDCN_SplitString",
+            "JDCN_StringManipulator",
+            "JDCN_StringToList",
+            "JDCN_SwapInputs",
+            "JDCN_TXTFileSaver",
+            "JDCN_VHSFileMover"
+        ],
+        {
+            "author": "Daxton Caylor & Jerry Davos",
+            "description": "Custom Utility Nodes for Artists, Designers and Animators.",
+            "nickname": "ComfyUI-JDCN",
+            "title": "ComfyUI-JDCN",
+            "title_aux": "ComfyUI-JDCN"
+        }
+    ],
+    "https://github.com/daxthin/DZ-FaceDetailer": [
+        [
+            "DZ_Face_Detailer"
+        ],
+        {
+            "title_aux": "DZ-FaceDetailer"
+        }
+    ],
+    "https://github.com/dchatel/comfyui_davcha": [
+        [
+            "ConditioningCompress",
+            "DStack",
+            "DavchaCLIPMergeSimple",
+            "DavchaConditioningConcat",
+            "DavchaModelMergeSD1",
+            "DavchaModelMergeSDXL",
+            "DavchaModelMergeSimple",
+            "PercentPadding",
+            "ResizeCropFit",
+            "SmartMask",
+            "SoftErosion",
+            "StringScheduleHelper"
+        ],
+        {
+            "title_aux": "comfyui_davcha"
+        }
+    ],
+    "https://github.com/dchatel/comfyui_facetools": [
+        [
+            "BiSeNetMask",
+            "CropFaces",
+            "DetectFaces",
+            "GenderFaceFilter",
+            "JonathandinuMask",
+            "MergeWarps",
+            "OrderedFaceFilter",
+            "WarpFacesBack"
+        ],
+        {
+            "title_aux": "comfyui_facetools"
+        }
+    ],
+    "https://github.com/denfrost/Den_ComfyUI_Workflow": [
+        [
+            "Den_BatchIndex_AS",
+            "Den_CropImage_AS",
+            "Den_Eval_AS",
+            "Den_FaceRestoreCFWithModel",
+            "Den_GPTLoaderSimple_llama",
+            "Den_GPTSampler_llama",
+            "Den_ImageMixMasked_As",
+            "Den_ImageToLatentSpace",
+            "Den_ImageToMask_AS",
+            "Den_Int2Any_AS",
+            "Den_LatentAdd_AS",
+            "Den_LatentMixMasked_As",
+            "Den_LatentMix_AS",
+            "Den_LatentToImages_AS",
+            "Den_LoadLatent_AS",
+            "Den_MapRange_AS",
+            "Den_MaskToImage_AS",
+            "Den_Math_AS",
+            "Den_NoiseImage_AS",
+            "Den_Number2Float_AS",
+            "Den_Number2Int_AS",
+            "Den_Number_AS",
+            "Den_SVD_img2vid",
+            "Den_SaveLatent_AS",
+            "Den_TextToImage_AS",
+            "Den_TextWildcardList_AS",
+            "Increment_AS"
+        ],
+        {
+            "title_aux": "Den_ComfyUI_Workflows"
+        }
+    ],
+    "https://github.com/deroberon/StableZero123-comfyui": [
+        [
+            "SDZero ImageSplit",
+            "Stablezero123",
+            "Stablezero123WithDepth"
+        ],
+        {
+            "title_aux": "StableZero123-comfyui"
+        }
+    ],
+    "https://github.com/deroberon/demofusion-comfyui": [
+        [
+            "Batch Unsampler",
+            "Demofusion",
+            "Demofusion From Single File",
+            "Iterative Mixing KSampler"
+        ],
+        {
+            "title_aux": "demofusion-comfyui"
+        }
+    ],
+    "https://github.com/dfl/comfyui-clip-with-break": [
+        [
+            "AdvancedCLIPTextEncodeWithBreak",
+            "CLIPTextEncodeWithBreak"
+        ],
+        {
+            "author": "dfl",
+            "description": "CLIP text encoder that does BREAK prompting like A1111",
+            "nickname": "CLIP with BREAK",
+            "title": "CLIP with BREAK syntax",
+            "title_aux": "CLIP with BREAK syntax"
+        }
+    ],
+    "https://github.com/dfl/comfyui-tcd-scheduler": [
+        [
+            "SamplerTCD",
+            "SamplerTCD EulerA",
+            "TCDScheduler"
+        ],
+        {
+            "title_aux": "ComfyUI-TCD-scheduler"
+        }
+    ],
+    "https://github.com/diStyApps/ComfyUI_FrameMaker": [
+        [
+            "FrameMaker",
+            "FrameMakerBatch"
+        ],
+        {
+            "title_aux": "ComfyUI Frame Maker"
+        }
+    ],
+    "https://github.com/dicksondickson/ComfyUI-Dickson-Nodes": [
+        [
+            "DicksonColorMatch",
+            "DicksonLoadImage",
+            "TTPlanet_Tile_Preprocessor_GF",
+            "TTPlanet_Tile_Preprocessor_Simple",
+            "TTPlanet_Tile_Preprocessor_cufoff"
+        ],
+        {
+            "description": "This is a set of custom nodes that I've either written myself or adapted from other authors for my own convenience. Currently includes color matching node forked from StableSR and TTPlanet's controlnet preprocessor. https://github.com/dicksondickson",
+            "nickname": "Dickson Nodes",
+            "title": "Dickson Nodes",
+            "title_aux": "ComfyUI-Dickson-Nodes"
+        }
+    ],
+    "https://github.com/digitaljohn/comfyui-propost": [
+        [
+            "ProPostApplyLUT",
+            "ProPostDepthMapBlur",
+            "ProPostFilmGrain",
+            "ProPostRadialBlur",
+            "ProPostVignette"
+        ],
+        {
+            "title_aux": "ComfyUI-ProPost"
+        }
+    ],
+    "https://github.com/dimtoneff/ComfyUI-PixelArt-Detector": [
+        [
+            "PixelArtAddDitherPattern",
+            "PixelArtDetectorConverter",
+            "PixelArtDetectorSave",
+            "PixelArtDetectorToImage",
+            "PixelArtLoadPalettes"
+        ],
+        {
+            "title_aux": "ComfyUI PixelArt Detector"
+        }
+    ],
+    "https://github.com/diontimmer/ComfyUI-Vextra-Nodes": [
+        [
+            "Add Text To Image",
+            "Apply Instagram Filter",
+            "Create Solid Color",
+            "Flatten Colors",
+            "Generate Noise Image",
+            "GlitchThis Effect",
+            "Hue Rotation",
+            "Load Picture Index",
+            "Pixel Sort",
+            "Play Sound At Execution",
+            "Prettify Prompt Using distilgpt2",
+            "Swap Color Mode"
+        ],
+        {
+            "title_aux": "ComfyUI-Vextra-Nodes"
+        }
+    ],
+    "https://github.com/discopixel-studio/comfyui-discopixel": [
+        [
+            "TransformTemplateOntoFaceMask"
+        ],
+        {
+            "author": "Anson Kao",
+            "description": "A small collection of custom nodes for use with ComfyUI, by Discopixel",
+            "nickname": "ComfyUI Discopixel",
+            "title": "ComfyUI Discopixel",
+            "title_aux": "ComfyUI Discopixel Nodes"
+        }
+    ],
+    "https://github.com/discus0434/comfyui-caching-embeddings": [
+        [
+            "CachingCLIPTextEncode"
+        ],
+        {
+            "title_aux": "ComfyUI Caching Embeddings"
+        }
+    ],
+    "https://github.com/djbielejeski/a-person-mask-generator": [
+        [
+            "APersonFaceLandmarkMaskGenerator",
+            "APersonMaskGenerator"
+        ],
+        {
+            "title_aux": "a-person-mask-generator"
+        }
+    ],
+    "https://github.com/dmMaze/sketch2manga": [
+        [
+            "BlendScreentone",
+            "EmptyLatentImageAdvanced"
+        ],
+        {
+            "title_aux": "Sketch2Manga"
+        }
+    ],
+    "https://github.com/dmarx/ComfyUI-AudioReactive": [
+        [
+            "OpAbs",
+            "OpBandpass",
+            "OpClamp",
+            "OpHarmonic",
+            "OpModulo",
+            "OpNormalize",
+            "OpNovelty",
+            "OpPercussive",
+            "OpPow",
+            "OpPow2",
+            "OpPredominant_pulse",
+            "OpQuantize",
+            "OpRms",
+            "OpSmoosh",
+            "OpSmooth",
+            "OpSqrt",
+            "OpStretch",
+            "OpSustain",
+            "OpThreshold"
+        ],
+        {
+            "title_aux": "ComfyUI-AudioReactive"
+        }
+    ],
+    "https://github.com/dmarx/ComfyUI-Keyframed": [
+        [
+            "Example",
+            "KfAddCurveToPGroup",
+            "KfAddCurveToPGroupx10",
+            "KfApplyCurveToCond",
+            "KfConditioningAdd",
+            "KfConditioningAddx10",
+            "KfCurveConstant",
+            "KfCurveDraw",
+            "KfCurveFromString",
+            "KfCurveFromYAML",
+            "KfCurveInverse",
+            "KfCurveToAcnLatentKeyframe",
+            "KfCurvesAdd",
+            "KfCurvesAddx10",
+            "KfCurvesDivide",
+            "KfCurvesMultiply",
+            "KfCurvesMultiplyx10",
+            "KfCurvesSubtract",
+            "KfDebug_Clip",
+            "KfDebug_Cond",
+            "KfDebug_Curve",
+            "KfDebug_Float",
+            "KfDebug_Image",
+            "KfDebug_Int",
+            "KfDebug_Latent",
+            "KfDebug_Model",
+            "KfDebug_Passthrough",
+            "KfDebug_Segs",
+            "KfDebug_String",
+            "KfDebug_Vae",
+            "KfDrawSchedule",
+            "KfEvaluateCurveAtT",
+            "KfGetCurveFromPGroup",
+            "KfGetScheduleConditionAtTime",
+            "KfGetScheduleConditionSlice",
+            "KfKeyframedCondition",
+            "KfKeyframedConditionWithText",
+            "KfPGroupCurveAdd",
+            "KfPGroupCurveMultiply",
+            "KfPGroupDraw",
+            "KfPGroupProd",
+            "KfPGroupSum",
+            "KfSetCurveLabel",
+            "KfSetKeyframe",
+            "KfSinusoidalAdjustAmplitude",
+            "KfSinusoidalAdjustFrequency",
+            "KfSinusoidalAdjustPhase",
+            "KfSinusoidalAdjustWavelength",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx2",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx3",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx4",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx5",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx6",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx7",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx8",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx9",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx2",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx3",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx4",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx5",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx6",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx7",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx8",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx9",
+            "KfSinusoidalGetAmplitude",
+            "KfSinusoidalGetFrequency",
+            "KfSinusoidalGetPhase",
+            "KfSinusoidalGetWavelength",
+            "KfSinusoidalWithFrequency",
+            "KfSinusoidalWithWavelength"
+        ],
+        {
+            "title_aux": "ComfyUI-Keyframed"
+        }
+    ],
+    "https://github.com/doomy23/ComfyUI-D00MYsNodes": [
+        [
+            "Images_Converter|D00MYs",
+            "JSPaint|D00MYs",
+            "Load_Images_From_Paths|D00MYs",
+            "Random_Images|D00MYs",
+            "Save_Images|D00MYs",
+            "Save_Text|D00MYs",
+            "Show_Text|D00MYs",
+            "Strings_From_List|D00MYs"
+        ],
+        {
+            "title_aux": "ComfyUI-D00MYsNodes"
+        }
+    ],
+    "https://github.com/drago87/ComfyUI_Dragos_Nodes": [
+        [
+            "file_padding",
+            "image_info",
+            "lora_loader",
+            "vae_loader"
+        ],
+        {
+            "title_aux": "ComfyUI_Dragos_Nodes"
+        }
+    ],
+    "https://github.com/drmbt/comfyui-dreambait-nodes": [
+        [
+            "DRMBT_AspectPadImageForOutpainting",
+            "DRMBT_LoadMedia",
+            "DRMBT_Model_Context_Selector",
+            "DRMBT_MultiMinMax",
+            "DRMBT_String_Item_Menu"
+        ],
+        {
+            "title_aux": "comfyui-dreambait-nodes"
+        }
+    ],
+    "https://github.com/drustan-hawk/primitive-types": [
+        [
+            "float",
+            "int",
+            "string",
+            "string_multiline"
+        ],
+        {
+            "title_aux": "primitive-types"
+        }
+    ],
+    "https://github.com/ducido/ObjectFusion_ComfyUI_nodes": [
+        [
+            "Custom ESAM_ModelLoader_Zho",
+            "Custom Generate Stable Diffsution Prompt With LLM",
+            "Custom Yoloworld_ESAM_Zho",
+            "Custom Yoloworld_ModelLoader_Zho",
+            "ObjectCrop"
+        ],
+        {
+            "title_aux": "ObjectFusion_ComfyUI_nodes"
+        }
+    ],
+    "https://github.com/e7mac/ComfyUI-ShadertoyGL": [
+        [
+            "ColorChannelOffset",
+            "Shader",
+            "Shadertoy"
+        ],
+        {
+            "title_aux": "ComfyUI-ShadertoyGL"
+        }
+    ],
+    "https://github.com/ealkanat/comfyui_easy_padding": [
+        [
+            "comfyui-easy-padding"
+        ],
+        {
+            "title_aux": "ComfyUI Easy Padding"
+        }
+    ],
+    "https://github.com/eastoc/ComfyUI_SemanticSAM": [
+        [
+            "PointPrompt",
+            "SemanticSAMLoader",
+            "SemanticSAMSegment"
+        ],
+        {
+            "title_aux": "Semantic-SAM"
+        }
+    ],
+    "https://github.com/edenartlab/eden_comfy_pipelines": [
+        [
+            "Animation_RGB_Mask",
+            "AspectPadImageForOutpainting",
+            "CLIP_Interrogator",
+            "ConvertToGrayscale",
+            "DepthSlicer",
+            "Eden_Bool",
+            "Eden_Compare",
+            "Eden_DebugPrint",
+            "Eden_Float",
+            "Eden_IMG_padder",
+            "Eden_IMG_unpadder",
+            "Eden_Int",
+            "Eden_String",
+            "Eden_gpt4_node",
+            "FolderScanner",
+            "GetRandomFile",
+            "Get_Prefixed_Imgs",
+            "HistogramMatching",
+            "IMG_blender",
+            "IMG_resolution_multiple_of",
+            "IMG_scaler",
+            "If ANY execute A else B",
+            "ImageDescriptionNode",
+            "LatentTypeConversion",
+            "Linear_Combine_IP_Embeds",
+            "LoadImagesByFilename",
+            "LoadRandomImage",
+            "Load_Embeddings_From_Folder",
+            "MaskFromRGB",
+            "MaskFromRGB_KMeans",
+            "ParallaxZoom",
+            "Random_Style_Mixture",
+            "SaveImageAdvanced",
+            "SavePosEmbeds",
+            "VAEDecode_to_folder",
+            "VideoFrameSelector",
+            "WidthHeightPicker"
+        ],
+        {
+            "title_aux": "Eden.art nodesuite"
+        }
+    ],
+    "https://github.com/edenartlab/sd-lora-trainer": [
+        [
+            "Eden_LoRa_trainer"
+        ],
+        {
+            "title_aux": "Eden.art LoRa Trainer"
+        }
+    ],
+    "https://github.com/emojiiii/ComfyUI_Emojiiii_Custom_Nodes": [
+        [
+            "BatchImageProcessor",
+            "Caption",
+            "CaptionDownload",
+            "KolorsMultiTextEncode",
+            "MultiTextEncode"
+        ],
+        {
+            "title_aux": "ComfyUI_Emojiiii_Custom_Nodes"
+        }
+    ],
+    "https://github.com/erosDiffusion/ComfyUI-enricos-nodes": [
+        [
+            "Compositor",
+            "EnricosCompositor"
+        ],
+        {
+            "title_aux": "Compositor Node"
+        }
+    ],
+    "https://github.com/evanspearman/ComfyMath": [
+        [
+            "CM_BoolBinaryOperation",
+            "CM_BoolToInt",
+            "CM_BoolUnaryOperation",
+            "CM_BreakoutVec2",
+            "CM_BreakoutVec3",
+            "CM_BreakoutVec4",
+            "CM_ComposeVec2",
+            "CM_ComposeVec3",
+            "CM_ComposeVec4",
+            "CM_FloatBinaryCondition",
+            "CM_FloatBinaryOperation",
+            "CM_FloatToInt",
+            "CM_FloatToNumber",
+            "CM_FloatUnaryCondition",
+            "CM_FloatUnaryOperation",
+            "CM_IntBinaryCondition",
+            "CM_IntBinaryOperation",
+            "CM_IntToBool",
+            "CM_IntToFloat",
+            "CM_IntToNumber",
+            "CM_IntUnaryCondition",
+            "CM_IntUnaryOperation",
+            "CM_NearestSDXLExtendedResolution",
+            "CM_NearestSDXLResolution",
+            "CM_NumberBinaryCondition",
+            "CM_NumberBinaryOperation",
+            "CM_NumberToFloat",
+            "CM_NumberToInt",
+            "CM_NumberUnaryCondition",
+            "CM_NumberUnaryOperation",
+            "CM_SDXLExtendedResolution",
+            "CM_SDXLResolution",
+            "CM_Vec2BinaryCondition",
+            "CM_Vec2BinaryOperation",
+            "CM_Vec2ScalarOperation",
+            "CM_Vec2ToScalarBinaryOperation",
+            "CM_Vec2ToScalarUnaryOperation",
+            "CM_Vec2UnaryCondition",
+            "CM_Vec2UnaryOperation",
+            "CM_Vec3BinaryCondition",
+            "CM_Vec3BinaryOperation",
+            "CM_Vec3ScalarOperation",
+            "CM_Vec3ToScalarBinaryOperation",
+            "CM_Vec3ToScalarUnaryOperation",
+            "CM_Vec3UnaryCondition",
+            "CM_Vec3UnaryOperation",
+            "CM_Vec4BinaryCondition",
+            "CM_Vec4BinaryOperation",
+            "CM_Vec4ScalarOperation",
+            "CM_Vec4ToScalarBinaryOperation",
+            "CM_Vec4ToScalarUnaryOperation",
+            "CM_Vec4UnaryCondition",
+            "CM_Vec4UnaryOperation"
+        ],
+        {
+            "title_aux": "ComfyMath"
+        }
+    ],
+    "https://github.com/exdysa/comfyui-selector": [
+        [
+            "Fork",
+            "ForkClip",
+            "Recourse",
+            "Recourse+/-",
+            "RecourseCkpt",
+            "RecourseImage",
+            "Selector",
+            "Unite"
+        ],
+        {
+            "author": "\"\u02f6\ud835\udfa2\u292c\u2ad2\u2d56s\u143c\u02f6\"",
+            "description": "\"EXDYSA. Selector and Recourse. Presets & failsafes. Work flow.\"",
+            "nickname": "\"Selector\"",
+            "title": "\"Selector\"",
+            "title_aux": "comfyui-selector"
+        }
+    ],
+    "https://github.com/fablestudio/ComfyUI-Showrunner-Utils": [
+        [
+            "AlignFace"
+        ],
+        {
+            "title_aux": "ComfyUI-Showrunner-Utils"
+        }
+    ],
+    "https://github.com/fairy-root/Flux-Prompt-Generator": [
+        [
+            "FluxPromptGenerator"
+        ],
+        {
+            "title_aux": "Flux Prompt Generator for ComfyUI"
+        }
+    ],
+    "https://github.com/fairy-root/comfyui-ollama-llms": [
+        [
+            "ConcatenateText",
+            "llava",
+            "ollama"
+        ],
+        {
+            "title_aux": "Ollama and Llava Vision integration for ComfyUI"
+        }
+    ],
+    "https://github.com/fearnworks/ComfyUI_FearnworksNodes": [
+        [
+            "Count Files in Directory (FW)",
+            "Count Tokens (FW)",
+            "CountTokens",
+            "FileCountInDirectory",
+            "Token Count Ranker(FW)",
+            "TokenCountRanker",
+            "Trim To Tokens (FW)",
+            "TrimToTokens"
+        ],
+        {
+            "title_aux": "Fearnworks Nodes"
+        }
+    ],
+    "https://github.com/fexli/fexli-util-node-comfyui": [
+        [
+            "FEBCPrompt",
+            "FEBatchGenStringBCDocker",
+            "FEColor2Image",
+            "FEColorOut",
+            "FEDataInsertor",
+            "FEDataPacker",
+            "FEDataUnpacker",
+            "FEDeepClone",
+            "FEDictPacker",
+            "FEDictUnpacker",
+            "FEEncLoraLoader",
+            "FEExtraInfoAdd",
+            "FEGenStringBCDocker",
+            "FEGenStringGPT",
+            "FEImageNoiseGenerate",
+            "FEImagePadForOutpaint",
+            "FEImagePadForOutpaintByImage",
+            "FEOperatorIf",
+            "FEPythonStrOp",
+            "FERandomBool",
+            "FERandomLoraSelect",
+            "FERandomPrompt",
+            "FERandomizedColor2Image",
+            "FERandomizedColorOut",
+            "FERerouteWithName",
+            "FESaveEncryptImage",
+            "FETextCombine",
+            "FETextCombine2Any",
+            "FETextInput"
+        ],
+        {
+            "title_aux": "fexli-util-node-comfyui"
+        }
+    ],
+    "https://github.com/fexploit/ComfyUI-AutoLabel": [
+        [
+            "AutoLabel"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoLabel"
+        }
+    ],
+    "https://github.com/fexploit/ComfyUI-AutoTrimBG": [
+        [
+            "RonLayers/TrimBg: RonLayersTrimBgUltraV2"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoTrimBG"
+        }
+    ],
+    "https://github.com/fexploit/ComfyUI-Classifier": [
+        [
+            "ClassifierNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Classifier"
+        }
+    ],
+    "https://github.com/filipemeneses/comfy_pixelization": [
+        [
+            "Pixelization"
+        ],
+        {
+            "title_aux": "Pixelization"
+        }
+    ],
+    "https://github.com/filliptm/ComfyUI_FL-Trainer": [
+        [
+            "FL_ImageCaptionSaver",
+            "FL_KohyaSSAdvConfig",
+            "FL_KohyaSSDatasetConfig",
+            "FL_KohyaSSInitWorkspace",
+            "FL_KohyaSSTrain",
+            "FL_Kohya_EasyTrain",
+            "FL_LoadImagesFromDirectoryPath",
+            "FL_SliderLoraAdvConfig",
+            "FL_SliderLoraDatasetConfig",
+            "FL_SliderLoraInitWorkspace",
+            "FL_SliderLoraTrain"
+        ],
+        {
+            "title_aux": "ComfyUI_FL-Trainer"
+        }
+    ],
+    "https://github.com/filliptm/ComfyUI_Fill-Nodes": [
+        [
+            "FL_Ascii",
+            "FL_BatchAlign",
+            "FL_BulkPDFLoader",
+            "FL_BulletHellGame",
+            "FL_CaptionToCSV",
+            "FL_CodeNode",
+            "FL_ColorPicker",
+            "FL_Dalle3",
+            "FL_DirectoryCrawl",
+            "FL_Dither",
+            "FL_FractalKSampler",
+            "FL_GPT_Vision",
+            "FL_Glitch",
+            "FL_GradGenerator",
+            "FL_HFHubModelUploader",
+            "FL_HF_Character",
+            "FL_HalftonePattern",
+            "FL_HexagonalPattern",
+            "FL_ImageCaptionLayout",
+            "FL_ImageCaptionLayoutPDF",
+            "FL_ImageCaptionSaver",
+            "FL_ImageCollage",
+            "FL_ImageDimensionDisplay",
+            "FL_ImageNotes",
+            "FL_ImagePixelator",
+            "FL_ImageRandomizer",
+            "FL_ImagesToPDF",
+            "FL_InfiniteZoom",
+            "FL_InpaintCrop",
+            "FL_Inpaint_Stitch",
+            "FL_KSamplerXYZPlot",
+            "FL_KsamplerBasic",
+            "FL_KsamplerPlus",
+            "FL_KsamplerSettings",
+            "FL_LoadImage",
+            "FL_MirrorAndAppendCaptions",
+            "FL_NFTGenerator",
+            "FL_OllamaCaptioner",
+            "FL_PDFImageExtractor",
+            "FL_PDFLoader",
+            "FL_PDFMerger",
+            "FL_PDFSaver",
+            "FL_PDFTextExtractor",
+            "FL_PDFToImages",
+            "FL_PaperDrawn",
+            "FL_PasteOnCanvas",
+            "FL_PixelArtShader",
+            "FL_PixelSort",
+            "FL_PromptSelector",
+            "FL_RandomNumber",
+            "FL_RetroEffect",
+            "FL_Ripple",
+            "FL_SDUltimate_Slices",
+            "FL_SamplerStrings",
+            "FL_SaveAndDisplayImage",
+            "FL_SaveCSV",
+            "FL_SaveImages",
+            "FL_SchedulerStrings",
+            "FL_SendToDiscordWebhook",
+            "FL_SeparateMaskComponents",
+            "FL_Shadertoy",
+            "FL_SimpleGPTVision",
+            "FL_SystemCheck",
+            "FL_TetrisGame",
+            "FL_TimeLine",
+            "FL_UpscaleModel",
+            "FL_VideoCropMask",
+            "FL_VideoRecompose",
+            "FL_ZipDirectory",
+            "FL_ZipSave",
+            "GradientImageGenerator"
+        ],
+        {
+            "title_aux": "ComfyUI_Fill-Nodes"
+        }
+    ],
+    "https://github.com/fitCorder/fcSuite/raw/main/fcSuite.py": [
+        [
+            "fcFloat",
+            "fcFloatMatic",
+            "fcHex",
+            "fcInteger"
+        ],
+        {
+            "title_aux": "fcSuite"
+        }
+    ],
+    "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed": [
+        [
+            "AdvancedSequenceSeedNode"
+        ],
+        {
+            "title_aux": "Advanced Sequence Seed Generator"
+        }
+    ],
+    "https://github.com/florestefano1975/ComfyUI-HiDiffusion": [
+        [
+            "HiDiffusionSD15",
+            "HiDiffusionSD21",
+            "HiDiffusionSDXL",
+            "HiDiffusionSDXLTurbo"
+        ],
+        {
+            "title_aux": "ComfyUI HiDiffusion"
+        }
+    ],
+    "https://github.com/florestefano1975/ComfyUI-StabilityAI-Suite": [
+        [
+            "StabilityAI Suite - Creative Upscale",
+            "StabilityAI Suite - Creative Upscale Recover File",
+            "StabilityAI Suite - Image Core + Style Preset",
+            "StabilityAI Suite - Inpainting",
+            "StabilityAI Suite - Outpainting",
+            "StabilityAI Suite - Remove Background",
+            "StabilityAI Suite - SD3",
+            "StabilityAI Suite - Search and Replace"
+        ],
+        {
+            "title_aux": "ComfyUI StabilityAI Suite"
+        }
+    ],
+    "https://github.com/florestefano1975/comfyui-portrait-master": [
+        [
+            "PortraitMaster",
+            "PortraitMasterBaseCharacter",
+            "PortraitMasterMakeup",
+            "PortraitMasterSkinDetails",
+            "PortraitMasterStylePose"
+        ],
+        {
+            "title_aux": "comfyui-portrait-master"
+        }
+    ],
+    "https://github.com/florestefano1975/comfyui-prompt-composer": [
+        [
+            "PromptComposerCustomLists",
+            "PromptComposerEffect",
+            "PromptComposerGrouping",
+            "PromptComposerMerge",
+            "PromptComposerStyler",
+            "PromptComposerTextSingle",
+            "promptComposerTextMultiple"
+        ],
+        {
+            "title_aux": "comfyui-prompt-composer"
+        }
+    ],
+    "https://github.com/flowtyone/ComfyUI-Flowty-CRM": [
+        [
+            "CCMSampler",
+            "CRMModelLoader",
+            "CRMModeler",
+            "CRMModelerCuda",
+            "CRMPoseSampler",
+            "CRMPoserConfig",
+            "CRMPreprocessForPoser",
+            "CRMViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Flowty-CRM"
+        }
+    ],
+    "https://github.com/flowtyone/ComfyUI-Flowty-LDSR": [
+        [
+            "LDSRModelLoader",
+            "LDSRUpscale",
+            "LDSRUpscaler"
+        ],
+        {
+            "title_aux": "ComfyUI-Flowty-LDSR"
+        }
+    ],
+    "https://github.com/flowtyone/ComfyUI-Flowty-TripoSR": [
+        [
+            "TripoSRModelLoader",
+            "TripoSRSampler",
+            "TripoSRViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Flowty-TripoSR"
+        }
+    ],
+    "https://github.com/flyingshutter/As_ComfyUI_CustomNodes": [
+        [
+            "BatchIndex_AS",
+            "CropImage_AS",
+            "Eval_AS",
+            "ImageMixMasked_As",
+            "ImageToMask_AS",
+            "Increment_AS",
+            "Int2Any_AS",
+            "LatentAdd_AS",
+            "LatentMixMasked_As",
+            "LatentMix_AS",
+            "LatentToImages_AS",
+            "LoadLatent_AS",
+            "MapRange_AS",
+            "MaskToImage_AS",
+            "Math_AS",
+            "NoiseImage_AS",
+            "Number2Float_AS",
+            "Number2Int_AS",
+            "Number_AS",
+            "SaveLatent_AS",
+            "TextToImage_AS",
+            "TextWildcardList_AS"
+        ],
+        {
+            "title_aux": "As_ComfyUI_CustomNodes"
+        }
+    ],
+    "https://github.com/fmatray/ComfyUI_BattlemapGrid": [
+        [
+            "Battlemap Grid",
+            "Compass",
+            "Map Generator",
+            "Map Generator(Outdoors)"
+        ],
+        {
+            "title_aux": "ComfyUI_BattlemapGrid"
+        }
+    ],
+    "https://github.com/fofr/ComfyUI-HyperSDXL1StepUnetScheduler": [
+        [
+            "HyperSDXL1StepUnetScheduler"
+        ],
+        {
+            "title_aux": "ComfyUI-HyperSDXL1StepUnetScheduler (ByteDance)"
+        }
+    ],
+    "https://github.com/fofr/ComfyUI-Prompter-fofrAI": [
+        [
+            "List sampler \ud83e\udeb4",
+            "Prompt from template \ud83e\udeb4"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompter-fofrAI"
+        }
+    ],
+    "https://github.com/fofr/comfyui-fofr-toolkit": [
+        [
+            "Incrementer \ud83e\udeb4",
+            "Width and height for scaling image to ideal resolution \ud83e\udeb4",
+            "Width and height from aspect ratio \ud83e\udeb4"
+        ],
+        {
+            "title_aux": "comfyui-fofr-toolkit"
+        }
+    ],
+    "https://github.com/forever22777/comfyui-self-guidance": [
+        [
+            "CLIPConditioning",
+            "CheckpointLoaderMixWithDiffusers",
+            "SelfGuidanceSampler"
+        ],
+        {
+            "title_aux": "Self-Guidance nodes"
+        }
+    ],
+    "https://github.com/foxtrot-roger/comfyui-rf-nodes": [
+        [
+            "LogBool",
+            "LogFloat",
+            "LogInt",
+            "LogNumber",
+            "LogString",
+            "LogVec2",
+            "LogVec3",
+            "RF_AtIndexString",
+            "RF_BoolToString",
+            "RF_FloatToString",
+            "RF_IntToString",
+            "RF_JsonStyleLoader",
+            "RF_MergeLines",
+            "RF_NumberToString",
+            "RF_OptionsString",
+            "RF_RangeFloat",
+            "RF_RangeInt",
+            "RF_RangeNumber",
+            "RF_SavePromptInfo",
+            "RF_SplitLines",
+            "RF_TextConcatenate",
+            "RF_TextInput",
+            "RF_TextReplace",
+            "RF_Timestamp",
+            "RF_ToString",
+            "RF_Vec2ToString",
+            "RF_Vec3ToString",
+            "TextLine"
+        ],
+        {
+            "title_aux": "RF Nodes"
+        }
+    ],
+    "https://github.com/frankchieng/ComfyUI_Aniportrait": [
+        [
+            "AniPortrait_Audio2Video",
+            "AniPortrait_Audio_Path",
+            "AniPortrait_LoadVideoPath",
+            "AniPortrait_Pose_Gen_Video",
+            "AniPortrait_Ref_Image_Path",
+            "AniPortrait_Video_Gen_Pose"
+        ],
+        {
+            "title_aux": "ComfyUI_Aniportrait"
+        }
+    ],
+    "https://github.com/frankchieng/ComfyUI_MagicClothing": [
+        [
+            "MagicClothing_Animatediff",
+            "MagicClothing_Generate",
+            "MagicClothing_Inpainting"
+        ],
+        {
+            "title_aux": "ComfyUI_MagicClothing"
+        }
+    ],
+    "https://github.com/frankchieng/ComfyUI_llm_easyanimiate": [
+        [],
+        {
+            "nodename_pattern": "^FrankChiengEasyAnimate",
+            "title_aux": "ComfyUI_llm_easyanimiate"
+        }
+    ],
+    "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG": [
+        [
+            "ImageMask2PNG"
+        ],
+        {
+            "title_aux": "ComfyUI-ImgMask2PNG"
+        }
+    ],
+    "https://github.com/fsdymy1024/ComfyUI_fsdymy": [
+        [
+            "IPAdapterLayerWeight",
+            "Preview Image Without Metadata",
+            "PreviewImageWithoutMetadata",
+            "Save Image Without Metadata",
+            "SaveImageWithoutMetadata",
+            "ShowText",
+            "ZhiPuAiNode"
+        ],
+        {
+            "title_aux": "ComfyUI_fsdymy"
+        }
+    ],
+    "https://github.com/fssorc/ComfyUI_FaceShaper": [
+        [
+            "FaceAlignmentCropper",
+            "FaceShaper",
+            "FaceShaperComposite",
+            "FaceShaperCropper",
+            "FaceShaperLoadInsightFaceCropper",
+            "FaceShaperLoadMediaPipeCropper",
+            "FaceShaperMatchV2",
+            "FaceShaperModels",
+            "FaceShaperShowLandMarks"
+        ],
+        {
+            "title_aux": "ComfyUI_FaceShaper"
+        }
+    ],
+    "https://github.com/fssorc/ComfyUI_pose_inter": [
+        [
+            "Pose_Inter"
+        ],
+        {
+            "title_aux": "ComfyUI_pose_inter"
+        }
+    ],
+    "https://github.com/gemell1/ComfyUI_GMIC": [
+        [
+            "GmicCliWrapper",
+            "GmicQtWrapper"
+        ],
+        {
+            "title_aux": "ComfyUI_GMIC"
+        }
+    ],
+    "https://github.com/get-salt-AI/SaltAI": [
+        [
+            "SAIPrimitiveConverter",
+            "SAIStringRegexSearchMatch",
+            "SAIStringRegexSearchReplace",
+            "SaltAIStableVideoDiffusion",
+            "SaltBatchCropDataExtractor",
+            "SaltCLIPSegLoader",
+            "SaltCLIPSegMasking",
+            "SaltCropImageLocation",
+            "SaltDisplayAny",
+            "SaltImagePasteCrop",
+            "SaltInfo",
+            "SaltInput",
+            "SaltLoadImageZip",
+            "SaltMaskCropRegion",
+            "SaltMasksToImages",
+            "SaltOutput",
+            "SaltRGBAFromMask",
+            "SaltWebsiteScreenshot"
+        ],
+        {
+            "title_aux": "SaltAI-Open-Resources"
+        }
+    ],
+    "https://github.com/get-salt-AI/SaltAI_Language_Toolkit": [
+        [
+            "AddTool",
+            "ChangeSystemMessage",
+            "ClearMemory",
+            "ConversableAgentCreator",
+            "ConversableAgentCreatorAdvanced",
+            "ConvertAgentAsTool",
+            "ConvertAgentToLlamaindex",
+            "CreateTavilySearchTool",
+            "Example",
+            "GenerateReply",
+            "GroupChat",
+            "GroupChatAdvanced",
+            "GroupChatManagerCreator",
+            "LLMCSVReader",
+            "LLMChat",
+            "LLMChatBot",
+            "LLMChatEngine",
+            "LLMChatMessageConcat",
+            "LLMChatMessages",
+            "LLMChatMessagesAdv",
+            "LLMComplete",
+            "LLMCustomNodeComposer",
+            "LLMDirectoryReader",
+            "LLMDocumentListAppend",
+            "LLMDocxReader",
+            "LLMEpubReader",
+            "LLMFlatReader",
+            "LLMHTMLTagReader",
+            "LLMHWPReader",
+            "LLMHtmlComposer",
+            "LLMHtmlRepair",
+            "LLMIPYNBReader",
+            "LLMImageCaptionReader",
+            "LLMImageTabularChartReader",
+            "LLMImageTextReader",
+            "LLMImageVisionLLMReader",
+            "LLMInputToDocuments",
+            "LLMJsonComposer",
+            "LLMJsonRepair",
+            "LLMLLaVANextImageEvaluator",
+            "LLMLLaVANextModelLoader",
+            "LLMMarkdownComposer",
+            "LLMMarkdownReader",
+            "LLMMarkdownRepair",
+            "LLMMboxReader",
+            "LLMMultiModalImageEvaluation",
+            "LLMNotionReader",
+            "LLMOpenAIModel",
+            "LLMOpenAIModelOpts",
+            "LLMPDFReader",
+            "LLMPagedCSVReader",
+            "LLMPandasCSVReader",
+            "LLMParquetDatasetSearcher",
+            "LLMPostProcessDocuments",
+            "LLMPptxReader",
+            "LLMPyMuPDFReader",
+            "LLMQueryEngine",
+            "LLMQueryEngineAdv",
+            "LLMQueryEngineAsTool",
+            "LLMRTFReader",
+            "LLMRegexCreator",
+            "LLMRegexRepair",
+            "LLMRssReaderNode",
+            "LLMSaltWebCrawler",
+            "LLMScaleSERPSearch",
+            "LLMSemanticSplitterNodeParser",
+            "LLMSentenceSplitterNodeCreator",
+            "LLMServiceContextAdv",
+            "LLMServiceContextDefault",
+            "LLMSimpleWebPageReader",
+            "LLMSimpleWebPageReaderAdv",
+            "LLMSummaryIndex",
+            "LLMTavilyResearch",
+            "LLMTrafilaturaWebReader",
+            "LLMTrafilaturaWebReaderAdv",
+            "LLMTreeIndex",
+            "LLMUnstructuredReader",
+            "LLMVectorStoreIndex",
+            "LLMVectorStoreIndexAdv",
+            "LLMVideoAudioReader",
+            "LLMXMLReader",
+            "LLMYamlComposer",
+            "LLMYamlRepair",
+            "SaltJSONQueryEngine",
+            "SendMessage",
+            "SimpleChat"
+        ],
+        {
+            "title_aux": "SaltAI_Language_Toolkit"
+        }
+    ],
+    "https://github.com/giriss/comfy-image-saver": [
+        [
+            "Cfg Literal",
+            "Checkpoint Selector",
+            "Int Literal",
+            "Sampler Selector",
+            "Save Image w/Metadata",
+            "Scheduler Selector",
+            "Seed Generator",
+            "String Literal",
+            "Width/Height Literal"
+        ],
+        {
+            "title_aux": "Save Image with Generation Metadata"
+        }
+    ],
+    "https://github.com/gisu/comfyui-foxpack": [
+        [
+            "Add_To_List",
+            "BaseSamplerSetup",
+            "Big_Prompter",
+            "Change_Entries_In_A_List",
+            "Change_Entry_From_List",
+            "CheckpointMetaExtractor",
+            "CheckpointSelector",
+            "Complete_Setup",
+            "Convert_Into",
+            "Negate_Boolean",
+            "Optional_Value_Override",
+            "OverrideSamplerSetup",
+            "Override_Value_If_Unset",
+            "Pick_Value_From_Dict",
+            "Pick_Values_From_List",
+            "Refine_Prompt",
+            "Refine_Setup",
+            "Remap_Values",
+            "Remove_Values_From_List",
+            "Select_By_Index",
+            "Select_Line_By_Index",
+            "Select_String_By_Index",
+            "SetupSelector",
+            "Show_Type",
+            "Split_Entry_In_2Chunks",
+            "Split_Entry_In_4Chunks",
+            "Split_Entry_In_6Chunks",
+            "Split_Entry_In_8Chunks",
+            "Step_Denoise",
+            "UniversalLatentHelper",
+            "Universal_VAE_Loader"
+        ],
+        {
+            "title_aux": "foxpack"
+        }
+    ],
+    "https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER": [
+        [
+            "ChangeImageBorder"
+        ],
+        {
+            "title_aux": "ComfyUI_Change_IMAGE_BOREDER"
+        }
+    ],
+    "https://github.com/githubYiheng/ComfyUI_GetFileNameFromURL": [
+        [
+            "GetFileNameFromURL"
+        ],
+        {
+            "title_aux": "ComfyUI_GetFileNameFromURL"
+        }
+    ],
+    "https://github.com/githubYiheng/comfyui_kmeans_filter": [
+        [
+            "ImageKmeansFilter"
+        ],
+        {
+            "title_aux": "comfyui_kmeans_filter"
+        }
+    ],
+    "https://github.com/githubYiheng/comfyui_meanshift_filter": [
+        [
+            "ImageMeanshiftFilter"
+        ],
+        {
+            "title_aux": "comfyui_meanshift_filter"
+        }
+    ],
+    "https://github.com/githubYiheng/comfyui_private_postprocessor": [
+        [
+            "ImageCPostprocessor",
+            "PrivateImageMask"
+        ],
+        {
+            "title_aux": "comfyui_private_postprocessor"
+        }
+    ],
+    "https://github.com/glibsonoran/Plush-for-ComfyUI": [
+        [
+            "AI Chooser",
+            "AdvPromptEnhancer",
+            "DalleImage",
+            "Enhancer",
+            "ImgTextSwitch",
+            "Plush-Exif Wrangler",
+            "Tagger",
+            "mulTextSwitch"
+        ],
+        {
+            "title_aux": "Plush-for-ComfyUI"
+        }
+    ],
+    "https://github.com/glifxyz/ComfyUI-GlifNodes": [
+        [
+            "FilmGrain",
+            "GlifConsistencyDecoder",
+            "GlifPatchConsistencyDecoderTiled",
+            "GlifVariable",
+            "HFHubEmbeddingLoader",
+            "HFHubLoraLoader",
+            "ImageToMultipleOf",
+            "SDXLAspectRatio"
+        ],
+        {
+            "title_aux": "ComfyUI-GlifNodes"
+        }
+    ],
+    "https://github.com/glowcone/comfyui-base64-to-image": [
+        [
+            "LoadImageFromBase64"
+        ],
+        {
+            "title_aux": "Load Image From Base64 URI"
+        }
+    ],
+    "https://github.com/glowcone/comfyui-string-converter": [
+        [
+            "StringToFloat",
+            "StringToInt"
+        ],
+        {
+            "title_aux": "String Converter"
+        }
+    ],
+    "https://github.com/goburiin/nsfwrecog-comfyui": [
+        [
+            "NSFWDetectorNode"
+        ],
+        {
+            "title_aux": "nsfwrecog-comfyui"
+        }
+    ],
+    "https://github.com/godspede/ComfyUI_Substring": [
+        [
+            "SubstringTheory"
+        ],
+        {
+            "title_aux": "ComfyUI Substring"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI-Depth-Visualization": [
+        [
+            "DepthViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Depth-Visualization"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI-Dream-Interpreter": [
+        [
+            "DreamViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Dream-Interpreter"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI-Texture-Simple": [
+        [
+            "TextureViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Texture-Simple"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI_VLM_nodes": [
+        [
+            "AudioLDM2Node",
+            "ChatMusician",
+            "CreativeArtPromptGenerator",
+            "Internlm",
+            "Joytag",
+            "JsonToText",
+            "KeywordExtraction",
+            "Kosmos2model",
+            "LLMLoader",
+            "LLMPromptGenerator",
+            "LLMSampler",
+            "LLava Loader Simple",
+            "LLavaOptionalMemoryFreeAdvanced",
+            "LLavaOptionalMemoryFreeSimple",
+            "LLavaPromptGenerator",
+            "LLavaSamplerAdvanced",
+            "LLavaSamplerSimple",
+            "LlavaClipLoader",
+            "MCLLaVAModel",
+            "MoonDream",
+            "Moondream2model",
+            "PlayMusic",
+            "PromptGenerateAPI",
+            "SaveAudioNode",
+            "SimpleText",
+            "StructuredOutput",
+            "Suggester",
+            "UformGen2QwenNode",
+            "ViewText"
+        ],
+        {
+            "title_aux": "VLM_nodes"
+        }
+    ],
+    "https://github.com/gonzalu/ComfyUI_YFG_Comical": [
+        [
+            "Image10Switcher_node",
+            "Image15Switcher_node",
+            "Image20Switcher_node",
+            "Image3Switcher_node",
+            "Image5Switcher_node",
+            "MonoClip_node",
+            "PixelArt_node",
+            "VAEDecodePreview_node",
+            "image2contrastMask_node",
+            "image2imbgg_node",
+            "image_halftone",
+            "image_histograms_node",
+            "image_histograms_node_compact",
+            "images_side_by_side",
+            "imgbbLoader_node",
+            "smartCheckpointLoader_node",
+            "storeURL_node",
+            "textMaskOverlay_node"
+        ],
+        {
+            "author": "Manny Gonzalez",
+            "description": "Utility custom nodes for special effects, image manipulation and quality of life tools.",
+            "nickname": "\ud83d\udc2f YFG Comical Nodes",
+            "title": "\ud83d\udc2f YFG Comical Nodes",
+            "title_aux": "\ud83d\ude38 YFG Comical Nodes"
+        }
+    ],
+    "https://github.com/griptape-ai/ComfyUI-Griptape": [
+        [
+            "Griptape Agent Config: Amazon Bedrock",
+            "Griptape Agent Config: Anthropic",
+            "Griptape Agent Config: Azure OpenAI",
+            "Griptape Agent Config: Custom Structure",
+            "Griptape Agent Config: Environment Variables",
+            "Griptape Agent Config: Google",
+            "Griptape Agent Config: HuggingFace",
+            "Griptape Agent Config: LM Studio",
+            "Griptape Agent Config: Ollama",
+            "Griptape Agent Config: OpenAI",
+            "Griptape Agent Config: OpenAI Compatible",
+            "Griptape Audio Transcription Driver: OpenAI",
+            "Griptape Combine: Merge Inputs",
+            "Griptape Combine: Merge Texts",
+            "Griptape Combine: Rules List",
+            "Griptape Combine: Tool List",
+            "Griptape Config: Environment Variables",
+            "Griptape Convert: Agent to Tool",
+            "Griptape Convert: Text to CLIP Encode",
+            "Griptape Convert: Text to Combo",
+            "Griptape Create: Agent",
+            "Griptape Create: Agent from Config",
+            "Griptape Create: CLIP Text Encode",
+            "Griptape Create: Image Variation",
+            "Griptape Create: Image from Text",
+            "Griptape Create: Pipeline",
+            "Griptape Create: Rules",
+            "Griptape Create: Text",
+            "Griptape Display: Artifact",
+            "Griptape Display: Data as Text",
+            "Griptape Display: Image",
+            "Griptape Display: Text",
+            "Griptape Driver: Amazon Bedrock Stable Diffusion",
+            "Griptape Driver: Amazon Bedrock Titan",
+            "Griptape Driver: Azure OpenAI Image Generation",
+            "Griptape Driver: Leonardo.AI",
+            "Griptape Driver: OpenAI Image Generation",
+            "Griptape Embedding Driver: Amazon Bedrock Titan",
+            "Griptape Embedding Driver: Amazon SageMaker Jumpstart",
+            "Griptape Embedding Driver: Azure OpenAI",
+            "Griptape Embedding Driver: Cohere",
+            "Griptape Embedding Driver: Google",
+            "Griptape Embedding Driver: HuggingFace",
+            "Griptape Embedding Driver: Ollama",
+            "Griptape Embedding Driver: OpenAI",
+            "Griptape Embedding Driver: OpenAI Compatible",
+            "Griptape Embedding Driver: Voyage AI",
+            "Griptape Expand: Agent Nodes",
+            "Griptape Load: Audio",
+            "Griptape Load: Image From URL",
+            "Griptape Load: Text",
+            "Griptape Pipeline: Add Task",
+            "Griptape Pipeline: Insert Task",
+            "Griptape Prompt Driver: Amazon Bedrock",
+            "Griptape Prompt Driver: Amazon SageMaker Jumpstart",
+            "Griptape Prompt Driver: Anthropic",
+            "Griptape Prompt Driver: Azure OpenAI",
+            "Griptape Prompt Driver: Cohere",
+            "Griptape Prompt Driver: Google",
+            "Griptape Prompt Driver: HuggingFace",
+            "Griptape Prompt Driver: LM Studio",
+            "Griptape Prompt Driver: Ollama",
+            "Griptape Prompt Driver: OpenAI",
+            "Griptape Prompt Driver: OpenAI Compatible",
+            "Griptape Replace: Rulesets on Agent",
+            "Griptape Replace: Tools on Agent",
+            "Griptape Run: Agent",
+            "Griptape Run: Audio Transcription",
+            "Griptape Run: Image Description",
+            "Griptape Run: Parallel Image Description",
+            "Griptape Run: Prompt Task",
+            "Griptape Run: Structure",
+            "Griptape Run: Text Summary",
+            "Griptape Run: Text to Speech",
+            "Griptape Run: Tool Task",
+            "Griptape Run: Toolkit Task",
+            "Griptape Save: Text",
+            "Griptape Set: Default Agent",
+            "Griptape Text To Speech Driver: ElevenLabs",
+            "Griptape Text To Speech Driver: OpenAI",
+            "Griptape Tool: Audio Transcription",
+            "Griptape Tool: Calculator",
+            "Griptape Tool: DateTime",
+            "Griptape Tool: Extraction",
+            "Griptape Tool: FileManager",
+            "Griptape Tool: Griptape Cloud KnowledgeBase",
+            "Griptape Tool: Prompt Summary",
+            "Griptape Tool: Query",
+            "Griptape Tool: Text to Speech",
+            "Griptape Tool: VectorStore",
+            "Griptape Tool: WebScraper",
+            "Griptape Tool: WebSearch",
+            "Griptape Vector Store Driver: Amazon OpenSearch",
+            "Griptape Vector Store Driver: Azure MongoDB",
+            "Griptape Vector Store Driver: Griptape Cloud KnowledgeBase",
+            "Griptape Vector Store Driver: Local",
+            "Griptape Vector Store Driver: Marqo",
+            "Griptape Vector Store Driver: MongoDB Atlas",
+            "Griptape Vector Store Driver: PGVector",
+            "Griptape Vector Store Driver: Pinecone",
+            "Griptape Vector Store Driver: Qdrant",
+            "Griptape Vector Store Driver: Redis",
+            "Griptape Vector Store: Add Text",
+            "Griptape Vector Store: Query",
+            "Griptape WebSearch Driver: DuckDuckGo",
+            "Griptape WebSearch Driver: Google",
+            "Gt Run Agent"
+        ],
+        {
+            "author": "Jason Schleifer",
+            "description": "This extension offers various nodes that allow you to work with LLMs using the Griptape Python Framework (https://griptape.ai)",
+            "nickname": "ComfyUI-Griptape",
+            "title": "ComfyUI Griptape Nodes",
+            "title_aux": "ComfyUI Griptape Nodes"
+        }
+    ],
+    "https://github.com/gseth/ControlAltAI-Nodes": [
+        [
+            "BooleanBasic",
+            "BooleanReverse",
+            "FluxControlNetApply",
+            "FluxResolutionNode",
+            "FluxSampler",
+            "GetImageSizeRatio"
+        ],
+        {
+            "title_aux": "ControlAltAI Nodes"
+        }
+    ],
+    "https://github.com/guill/abracadabra-comfyui": [
+        [
+            "AbracadabraNode",
+            "AbracadabraNodeDefSummary"
+        ],
+        {
+            "title_aux": "abracadabra-comfyui"
+        }
+    ],
+    "https://github.com/guoyk93/yk-node-suite-comfyui": [
+        [
+            "YKImagePadForOutpaint",
+            "YKMaskToImage"
+        ],
+        {
+            "title_aux": "y.k.'s ComfyUI node suite"
+        }
+    ],
+    "https://github.com/hackkhai/ComfyUI-Image-Matting": [
+        [
+            "ApplyMatting",
+            "CreateTrimap",
+            "MattingModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Matting"
+        }
+    ],
+    "https://github.com/haohaocreates/ComfyUI-HH-Image-Selector": [
+        [
+            "Image Selector"
+        ],
+        {
+            "title_aux": "ComfyUI-HH-Image-Selector"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_AceNodes": [
+        [
+            "ACE_AnyInputSwitchBool",
+            "ACE_AnyInputToAny",
+            "ACE_AudioLoad",
+            "ACE_AudioPlay",
+            "ACE_AudioSave",
+            "ACE_Expression_Eval",
+            "ACE_Float",
+            "ACE_ImageColorFix",
+            "ACE_ImageConstrain",
+            "ACE_ImageFaceCrop",
+            "ACE_ImageGetSize",
+            "ACE_ImageLoadFromCloud",
+            "ACE_ImageQA",
+            "ACE_ImageRemoveBackground",
+            "ACE_ImageSaveToCloud",
+            "ACE_Integer",
+            "ACE_MaskBlur",
+            "ACE_Seed",
+            "ACE_Text",
+            "ACE_TextConcatenate",
+            "ACE_TextGoogleTranslate",
+            "ACE_TextInputSwitch2Way",
+            "ACE_TextInputSwitch4Way",
+            "ACE_TextInputSwitch8Way",
+            "ACE_TextList",
+            "ACE_TextPreview",
+            "ACE_TextSelector",
+            "ACE_TextToResolution",
+            "ACE_TextTranslate"
+        ],
+        {
+            "title_aux": "ComfyUI AceNodes"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_DDColor": [
+        [
+            "D_DDColor"
+        ],
+        {
+            "title_aux": "ComfyUI DDColor"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_Dreamtalk": [
+        [
+            "D_DreamTalk"
+        ],
+        {
+            "title_aux": "ComfyUI Dreamtalk"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_Hallo": [
+        [
+            "D_HalloNode"
+        ],
+        {
+            "title_aux": "ComfyUI Hallo"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_MiniCPM-V": [
+        [
+            "D_MiniCPM_VQA"
+        ],
+        {
+            "title_aux": "ComfyUI MiniCPM-V"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_OpenVoice": [
+        [
+            "D_OpenVoice_STS",
+            "D_OpenVoice_TTS",
+            "D_OpenVoice_TTS_V2"
+        ],
+        {
+            "title_aux": "ComfyUI OpenVoice"
+        }
+    ],
+    "https://github.com/hben35096/ComfyUI-ReplenishNodes": [
+        [
+            "CLIPSegToMask",
+            "CombineSegMasks"
+        ],
+        {
+            "title_aux": "ComfyUI-ReplenishNodes"
+        }
+    ],
+    "https://github.com/hben35096/ComfyUI-ToolBox": [
+        [
+            "AutoDLDownload",
+            "CreatePaths",
+            "FolderDeleter",
+            "FolderViewe",
+            "PathOutput"
+        ],
+        {
+            "title_aux": "ComfyUI-ToolBox"
+        }
+    ],
+    "https://github.com/heshengtao/comfyui_LLM_party": [
+        [
+            "About_us",
+            "AmapRegeoTool",
+            "AmapWeatherTool",
+            "CLIPTextEncode_party",
+            "ChatTTS_Node",
+            "CosyVoice",
+            "Dingding",
+            "Dingding_tool",
+            "FeishuDownloadAudio",
+            "FeishuDownloadImage",
+            "FeishuGetHistory",
+            "FeishuSendMsg",
+            "FileOnlineDelete_gitee",
+            "FileOnlineStorage_gitee",
+            "FilePathExists",
+            "GeocodeTool",
+            "Images2Image",
+            "KG_csv_toolkit_developer",
+            "KG_csv_toolkit_user",
+            "KG_json_toolkit_developer",
+            "KG_json_toolkit_user",
+            "KG_neo_toolkit_developer",
+            "KG_neo_toolkit_user",
+            "KSampler_party",
+            "LLM",
+            "LLM_api_loader",
+            "LLM_local",
+            "LLM_local_loader",
+            "LLavaLoader",
+            "Lorebook",
+            "URL2IMG",
+            "VAEDecode_party",
+            "accuweather_tool",
+            "advance_ebd_tool",
+            "api_function",
+            "api_tool",
+            "arxiv_tool",
+            "bing_loader",
+            "bing_tool",
+            "bool_logic",
+            "check_web_tool",
+            "classify_function",
+            "classify_function_plus",
+            "classify_persona",
+            "classify_persona_plus",
+            "clear_file",
+            "clear_model",
+            "custom_persona",
+            "discord_bot",
+            "discord_file_monitor",
+            "discord_send",
+            "duckduckgo_loader",
+            "duckduckgo_tool",
+            "ebd_tool",
+            "embeddings_function",
+            "end_dialog",
+            "end_workflow",
+            "extra_parameters",
+            "feishu",
+            "feishu_tool",
+            "file_combine",
+            "file_combine_plus",
+            "flux_persona",
+            "genai_api_loader",
+            "get_string",
+            "github_tool",
+            "google_loader",
+            "google_tool",
+            "image_iterator",
+            "img2path",
+            "interpreter_function",
+            "interpreter_tool",
+            "json2text",
+            "json_get_value",
+            "json_iterator",
+            "json_parser",
+            "keyword_tool",
+            "list_append",
+            "list_append_plus",
+            "list_extend",
+            "list_extend_plus",
+            "listen_audio",
+            "load_ebd",
+            "load_excel",
+            "load_file",
+            "load_file_folder",
+            "load_img_path",
+            "load_int",
+            "load_keyword",
+            "load_name",
+            "load_openai_ebd",
+            "load_persona",
+            "load_url",
+            "load_wikipedia",
+            "new_interpreter_tool",
+            "none2false",
+            "omost_decode",
+            "omost_json2py",
+            "omost_setting",
+            "openai_ebd_tool",
+            "openai_tts",
+            "openai_whisper",
+            "parameter_combine",
+            "parameter_combine_plus",
+            "parameter_function",
+            "replace_string",
+            "save_ebd_database",
+            "save_openai_ebd",
+            "show_text_party",
+            "start_dialog",
+            "start_workflow",
+            "story_json_tool",
+            "str2float",
+            "string_logic",
+            "substring",
+            "text2json",
+            "text2parameters",
+            "text_iterator",
+            "time_tool",
+            "tool_combine",
+            "tool_combine_plus",
+            "translate_persona",
+            "weather_tool",
+            "weekday_tool",
+            "wikipedia_tool",
+            "work_wechat",
+            "work_wechat_tool",
+            "workflow_tool",
+            "workflow_transfer",
+            "workflow_transfer_v2"
+        ],
+        {
+            "title_aux": "comfyui_LLM_party"
+        }
+    ],
+    "https://github.com/heshengtao/comfyui_LLM_schools": [
+        [
+            "CausalLM_trainer",
+            "IA3_Arguments",
+            "LLM_Arguments",
+            "Lora_or_adapter_Arguments",
+            "P_or_Prompt_Arguments",
+            "Prefix_Arguments",
+            "download_dataset",
+            "get_dataset_name",
+            "split_dataset"
+        ],
+        {
+            "title_aux": "comfyui_LLM_schools"
+        }
+    ],
+    "https://github.com/hhhzzyang/Comfyui_Lama": [
+        [
+            "LamaApply",
+            "LamaModelLoader",
+            "YamlConfigLoader"
+        ],
+        {
+            "title_aux": "Comfyui-Lama"
+        }
+    ],
+    "https://github.com/hiforce/comfyui-hiforce-plugin": [
+        [
+            "HfBoolSwitchKSampleStatus",
+            "HfImageAutoExpansionSquare",
+            "HfImageToRGB",
+            "HfImageToRGBA",
+            "HfInitImageWithMaxSize",
+            "HfIterativeLatentUpscale",
+            "HfLoadImageWithCropper",
+            "HfLookbackSamplerLoader",
+            "HfLoopback",
+            "HfResizeImage",
+            "HfSampler",
+            "HfSamplerLoader",
+            "HfSamplerLoopback",
+            "HfSaveImage",
+            "HfSwitchKSampleStatus",
+            "HfTwoSamplersForMask",
+            "HfTwoStepSamplers",
+            "LoadImageFromURL"
+        ],
+        {
+            "title_aux": "Comfyui HiFORCE Plugin"
+        }
+    ],
+    "https://github.com/hinablue/ComfyUI_3dPoseEditor": [
+        [
+            "Hina.PoseEditor3D"
+        ],
+        {
+            "title_aux": "ComfyUI 3D Pose Editor"
+        }
+    ],
+    "https://github.com/holchan/ComfyUI-ModelDownloader": [
+        [
+            "LoRADownloader",
+            "ModelDownloader"
+        ],
+        {
+            "title_aux": "ComfyUI-ModelDownloader"
+        }
+    ],
+    "https://github.com/huagetai/ComfyUI-Gaffer": [
+        [
+            "ApplyICLight",
+            "CalculateNormalMap",
+            "GrayScaler",
+            "ICLightModelLoader",
+            "LightSource"
+        ],
+        {
+            "title_aux": "comfyui's gaffer(ComfyUI native implementation of IC-Light. )"
+        }
+    ],
+    "https://github.com/huagetai/ComfyUI_LightGradient": [
+        [
+            "ImageGradient",
+            "MaskGradient"
+        ],
+        {
+            "title_aux": "Light Gradient for ComfyUI"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI-IC-Light-Native": [
+        [
+            "ICLightApplyMaskGrey",
+            "ICLightAppply",
+            "VAEEncodeArgMax"
+        ],
+        {
+            "title_aux": "ComfyUI-IC-Light-Native"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI-layerdiffuse": [
+        [
+            "LayeredDiffusionApply",
+            "LayeredDiffusionCondApply",
+            "LayeredDiffusionCondJointApply",
+            "LayeredDiffusionDecode",
+            "LayeredDiffusionDecodeRGBA",
+            "LayeredDiffusionDecodeSplit",
+            "LayeredDiffusionDiffApply",
+            "LayeredDiffusionJointApply"
+        ],
+        {
+            "title_aux": "ComfyUI-layerdiffuse (layerdiffusion)"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI-openpose-editor": [
+        [
+            "huchenlei.LoadOpenposeJSON"
+        ],
+        {
+            "title_aux": "ComfyUI-openpose-editor"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI_DanTagGen": [
+        [
+            "PromptDanTagGen"
+        ],
+        {
+            "title_aux": "ComfyUI_DanTagGen"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI_densediffusion": [
+        [
+            "DenseDiffusionAddCondNode",
+            "DenseDiffusionApplyNode"
+        ],
+        {
+            "title_aux": "ComfyUI DenseDiffusion"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI_omost": [
+        [
+            "OmostDenseDiffusionLayoutNode",
+            "OmostGreedyBagsTextEmbeddingNode",
+            "OmostLLMChatNode",
+            "OmostLLMHTTPServerNode",
+            "OmostLLMLoaderNode",
+            "OmostLayoutCondNode",
+            "OmostLoadCanvasConditioningNode",
+            "OmostLoadCanvasPythonCodeNode",
+            "OmostRenderCanvasConditioningNode"
+        ],
+        {
+            "title_aux": "ComfyUI_omost"
+        }
+    ],
+    "https://github.com/hughescr/ComfyUI-OpenPose-Keypoint-Extractor": [
+        [
+            "Openpose Keypoint Extractor"
+        ],
+        {
+            "title_aux": "OpenPose Keypoint Extractor"
+        }
+    ],
+    "https://github.com/hustille/ComfyUI_Fooocus_KSampler": [
+        [
+            "KSampler With Refiner (Fooocus)"
+        ],
+        {
+            "title_aux": "ComfyUI_Fooocus_KSampler"
+        }
+    ],
+    "https://github.com/hustille/ComfyUI_hus_utils": [
+        [
+            "3way Prompt Styler",
+            "Batch State",
+            "Date Time Format",
+            "Debug Extra",
+            "Fetch widget value",
+            "Text Hash"
+        ],
+        {
+            "title_aux": "hus' utils for ComfyUI"
+        }
+    ],
+    "https://github.com/hwhaocool/ComfyUI-Select-Any": [
+        [
+            "SelectAnyValues"
+        ],
+        {
+            "title_aux": "ComfyUI-Select-Any"
+        }
+    ],
+    "https://github.com/hylarucoder/ComfyUI-Eagle-PNGInfo": [
+        [
+            "EagleImageNode",
+            "SDXLPromptStyler",
+            "SDXLPromptStylerAdvanced",
+            "SDXLResolutionPresets"
+        ],
+        {
+            "title_aux": "Eagle PNGInfo"
+        }
+    ],
+    "https://github.com/hyunamy/comfy-ui-on-complete-email-me": [
+        [
+            "OnCompleteEmailMe",
+            "OnCompleteWebhook"
+        ],
+        {
+            "title_aux": "Comfy-UI on-complete-email-me"
+        }
+    ],
+    "https://github.com/iFREEGROUP/comfyui-undistort": [
+        [
+            "IG_LoadCheckerboardImageForCalibrateCamera",
+            "IG_MatrixAndDistCoefToText",
+            "IG_Undistort"
+        ],
+        {
+            "title_aux": "comfyui-undistort"
+        }
+    ],
+    "https://github.com/icesun963/ComfyUI_HFDownLoad": [
+        [
+            "Apply EasyOCR V2",
+            "HFDownLoad_Tool",
+            "LayerMask: SegmentAnythingUltra V2.1",
+            "LayerUtility: LaMa V2"
+        ],
+        {
+            "author": "chflame",
+            "description": "A set of nodes for ComfyUI that can composite layer and mask to achieve Photoshop like functionality.",
+            "nickname": "LayerStyle",
+            "title": "LayerStyle",
+            "title_aux": "HFDownLoad Node for ComfyUI"
+        }
+    ],
+    "https://github.com/idrirap/ComfyUI-Lora-Auto-Trigger-Words": [
+        [
+            "FusionText",
+            "LoraListNames",
+            "LoraLoaderAdvanced",
+            "LoraLoaderStackedAdvanced",
+            "LoraLoaderStackedVanilla",
+            "LoraLoaderVanilla",
+            "LoraTagsOnly",
+            "Randomizer",
+            "TagsFormater",
+            "TagsSelector",
+            "TextInputBasic"
+        ],
+        {
+            "title_aux": "ComfyUI-Lora-Auto-Trigger-Words"
+        }
+    ],
+    "https://github.com/iemesowum/ComfyUI_IsaacNodes": [
+        [
+            "I_AmplitudeToWeights",
+            "I_BinaryAmplitudeGate",
+            "I_UnmixAudio",
+            "I_WeightsListToWeights"
+        ],
+        {
+            "author": "Isaac Emesowum",
+            "description": "This extension offers automatic drums extraction from audio files, as well as a few helper nodes to support my audio synchronization AnimateDiff workflows.",
+            "nickname": "Isaac's Nodes",
+            "title": "Isaac's Nodes",
+            "title_aux": "Isaac's Nodes"
+        }
+    ],
+    "https://github.com/if-ai/ComfyUI-IF_AI_HFDownloaderNode": [
+        [
+            "IF_HFDownload",
+            "IF_HFDownloadNode"
+        ],
+        {
+            "title_aux": "ComfyUI-IF_AI_HFDownloaderNode"
+        }
+    ],
+    "https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode": [
+        [
+            "IF_WhisperSpeech"
+        ],
+        {
+            "title_aux": "ComfyUI-IF_AI_WishperSpeechNode"
+        }
+    ],
+    "https://github.com/if-ai/ComfyUI-IF_AI_tools": [
+        [
+            "IF_ChatPrompt",
+            "IF_DisplayOmni",
+            "IF_DisplayText",
+            "IF_ImagePrompt",
+            "IF_PromptMkr",
+            "IF_SaveText",
+            "IF_TextTyper",
+            "IF_saveText"
+        ],
+        {
+            "title_aux": "ComfyUI-IF_AI_tools"
+        }
+    ],
+    "https://github.com/ihmily/ComfyUI-Light-Tool": [
+        [
+            "Light-Tool: BoundingBoxCropping",
+            "Light-Tool: ChangeBackground",
+            "Light-Tool: ImageMaskApply",
+            "Light-Tool: ImageOverlay",
+            "Light-Tool: ImageToMask",
+            "Light-Tool: InvertMask",
+            "Light-Tool: MaskBoundingBoxCropping",
+            "Light-Tool: MaskImageToTransparent",
+            "Light-Tool: MaskToImage"
+        ],
+        {
+            "author": "Hmily",
+            "description": "An awesome light image processing tool nodes for ComfyUI.",
+            "nickname": "ComfyUI-Light-Tool",
+            "title": "ComfyUI-Light-Tool",
+            "title_aux": "ComfyUI-Light-Tool"
+        }
+    ],
+    "https://github.com/imb101/ComfyUI-FaceSwap": [
+        [
+            "FaceSwapNode"
+        ],
+        {
+            "title_aux": "FaceSwap"
+        }
+    ],
+    "https://github.com/injet-zhou/comfyui_extra_api": [
+        [
+            "SimpleGenImageInterface"
+        ],
+        {
+            "title_aux": "comfyui_extra_api"
+        }
+    ],
+    "https://github.com/iwanders/ComfyUI_nodes": [
+        [
+            "IW_JsonPickItem",
+            "IW_ModelHook",
+            "IW_StringConcat",
+            "IW_StringFromInt",
+            "IW_StringNode",
+            "IW_StringPrint",
+            "IW_StringReplace",
+            "IW_StringSave",
+            "IW_TokenizerVocab"
+        ],
+        {
+            "title_aux": "iwanders/ComfyUI_nodes"
+        }
+    ],
+    "https://github.com/jags111/ComfyUI_Jags_Audiotools": [
+        [
+            "BatchJoinAudio",
+            "BatchToList",
+            "BitCrushAudioFX",
+            "BulkVariation",
+            "ChorusAudioFX",
+            "ClippingAudioFX",
+            "CompressorAudioFX",
+            "ConcatAudioList",
+            "ConvolutionAudioFX",
+            "CutAudio",
+            "DelayAudioFX",
+            "DistortionAudioFX",
+            "DuplicateAudio",
+            "GainAudioFX",
+            "GenerateAudioSample",
+            "GenerateAudioWave",
+            "GetAudioFromFolderIndex",
+            "GetSingle",
+            "GetStringByIndex",
+            "HighShelfFilter",
+            "HighpassFilter",
+            "ImageToSpectral",
+            "InvertAudioFX",
+            "JoinAudio",
+            "LadderFilter",
+            "LimiterAudioFX",
+            "ListToBatch",
+            "LoadAudioDir",
+            "LoadAudioFile",
+            "LoadAudioModel (DD)",
+            "LoadVST3",
+            "LowShelfFilter",
+            "LowpassFilter",
+            "MP3CompressorAudioFX",
+            "MixAudioTensors",
+            "NoiseGateAudioFX",
+            "OTTAudioFX",
+            "PeakFilter",
+            "PhaserEffectAudioFX",
+            "PitchShiftAudioFX",
+            "PlotSpectrogram",
+            "PreviewAudioFile",
+            "PreviewAudioTensor",
+            "ResampleAudio",
+            "ReverbAudioFX",
+            "ReverseAudio",
+            "SaveAudioTensor",
+            "SequenceVariation",
+            "SliceAudio",
+            "SoundPlayer",
+            "StretchAudio",
+            "samplerate"
+        ],
+        {
+            "author": "jags111",
+            "description": "This extension offers various audio generation tools",
+            "nickname": "Audiotools",
+            "title": "Jags_Audiotools",
+            "title_aux": "Jags_Audiotools"
+        }
+    ],
+    "https://github.com/jags111/ComfyUI_Jags_VectorMagic": [
+        [
+            "CircularVAEDecode",
+            "JagsCLIPSeg",
+            "JagsClipseg",
+            "JagsCombineMasks",
+            "SVG",
+            "YoloSEGdetectionNode",
+            "YoloSegNode",
+            "color_drop",
+            "xy_Tiling_KSampler"
+        ],
+        {
+            "author": "jags111",
+            "description": "This extension offers various vector manipulation and  generation tools",
+            "nickname": "Jags_VectorMagic",
+            "title": "Jags_VectorMagic",
+            "title_aux": "Jags_VectorMagic"
+        }
+    ],
+    "https://github.com/jags111/efficiency-nodes-comfyui": [
+        [
+            "AnimateDiff Script",
+            "Apply ControlNet Stack",
+            "Control Net Stacker",
+            "Eff. Loader SDXL",
+            "Efficient Loader",
+            "HighRes-Fix Script",
+            "Image Overlay",
+            "Join XY Inputs of Same Type",
+            "KSampler (Efficient)",
+            "KSampler Adv. (Efficient)",
+            "KSampler SDXL (Eff.)",
+            "LatentUpscaler",
+            "LoRA Stack to String converter",
+            "LoRA Stacker",
+            "Manual XY Entry Info",
+            "NNLatentUpscale",
+            "Noise Control Script",
+            "Pack SDXL Tuple",
+            "Tiled Upscaler Script",
+            "Unpack SDXL Tuple",
+            "XY Input: Add/Return Noise",
+            "XY Input: Aesthetic Score",
+            "XY Input: CFG Scale",
+            "XY Input: Checkpoint",
+            "XY Input: Clip Skip",
+            "XY Input: Control Net",
+            "XY Input: Control Net Plot",
+            "XY Input: Denoise",
+            "XY Input: LoRA",
+            "XY Input: LoRA Plot",
+            "XY Input: LoRA Stacks",
+            "XY Input: Manual XY Entry",
+            "XY Input: Prompt S/R",
+            "XY Input: Refiner On/Off",
+            "XY Input: Sampler/Scheduler",
+            "XY Input: Seeds++ Batch",
+            "XY Input: Steps",
+            "XY Input: VAE",
+            "XY Plot"
+        ],
+        {
+            "title_aux": "Efficiency Nodes for ComfyUI Version 2.0+"
+        }
+    ],
+    "https://github.com/jakechai/ComfyUI-JakeUpgrade": [
+        [
+            "Animation Prompt JK",
+            "Animation Value JK",
+            "Base Image Parameters Extract JK",
+            "Base Model Parameters Extract JK",
+            "Base Model Parameters JK",
+            "Base Model Pipe Extract JK",
+            "Base Model Pipe JK",
+            "CM_BoolBinaryOperation JK",
+            "CM_BoolToInt JK",
+            "CM_BoolUnaryOperation JK",
+            "CM_BreakoutVec2 JK",
+            "CM_BreakoutVec3 JK",
+            "CM_BreakoutVec4 JK",
+            "CM_ComposeVec2 JK",
+            "CM_ComposeVec3 JK",
+            "CM_ComposeVec4 JK",
+            "CM_FloatBinaryCondition JK",
+            "CM_FloatBinaryOperation JK",
+            "CM_FloatToInt JK",
+            "CM_FloatToNumber JK",
+            "CM_FloatUnaryCondition JK",
+            "CM_FloatUnaryOperation JK",
+            "CM_IntBinaryCondition JK",
+            "CM_IntBinaryOperation JK",
+            "CM_IntToBool JK",
+            "CM_IntToFloat JK",
+            "CM_IntToNumber JK",
+            "CM_IntUnaryCondition JK",
+            "CM_IntUnaryOperation JK",
+            "CM_NumberBinaryCondition JK",
+            "CM_NumberBinaryOperation JK",
+            "CM_NumberToFloat JK",
+            "CM_NumberToInt JK",
+            "CM_NumberUnaryCondition JK",
+            "CM_NumberUnaryOperation JK",
+            "CM_PromptCombine_JK",
+            "CM_StringBinaryCondition_JK",
+            "CM_Vec2BinaryCondition JK",
+            "CM_Vec2BinaryOperation JK",
+            "CM_Vec2FloatOperation_JK",
+            "CM_Vec2ToFloatBinaryOperation JK",
+            "CM_Vec2ToFloatUnaryOperation JK",
+            "CM_Vec2UnaryCondition JK",
+            "CM_Vec2UnaryOperation JK",
+            "CM_Vec3BinaryCondition JK",
+            "CM_Vec3BinaryOperation JK",
+            "CM_Vec3FloatOperation_JK",
+            "CM_Vec3ToFloatBinaryOperation JK",
+            "CM_Vec3ToFloatUnaryOperation JK",
+            "CM_Vec3UnaryCondition JK",
+            "CM_Vec3UnaryOperation JK",
+            "CM_Vec4BinaryCondition JK",
+            "CM_Vec4BinaryOperation JK",
+            "CM_Vec4FloatOperation_JK",
+            "CM_Vec4ToFloatBinaryOperation JK",
+            "CM_Vec4ToFloatUnaryOperation JK",
+            "CM_Vec4UnaryCondition JK",
+            "CM_Vec4UnaryOperation JK",
+            "CR Apply ControlNet JK",
+            "CR Apply Multi-ControlNet JK",
+            "CR Boolean JK",
+            "CR Clip Input Switch JK",
+            "CR Conditioning Input Switch JK",
+            "CR ControlNet Input Switch JK",
+            "CR Float Input Switch JK",
+            "CR Image Input Switch JK",
+            "CR Impact Pipe Input Switch JK",
+            "CR Int Input Switch JK",
+            "CR Latent Input Switch JK",
+            "CR LoRA Stack JK",
+            "CR Load LoRA JK",
+            "CR Mask Input Switch JK",
+            "CR Mesh Input Switch JK",
+            "CR Model Input Switch JK",
+            "CR Multi-ControlNet Stack JK",
+            "CR Obit Pose Input Switch JK",
+            "CR Orbit Pose Input Switch JK",
+            "CR Pipe Input Switch JK",
+            "CR Ply Input Switch JK",
+            "CR SD1.5 Aspect Ratio JK",
+            "CR SDXL Aspect Ratio JK",
+            "CR Switch Model and CLIP JK",
+            "CR Text Input Switch JK",
+            "CR VAE Input Switch JK",
+            "CR_Apply Multi-ControlNet SD3 JK",
+            "Ckpt Loader JK",
+            "Detailer Parameters JK",
+            "Embedding Picker JK",
+            "Embedding Picker Multi JK",
+            "Evaluate Examples JK",
+            "Evaluate Floats JK",
+            "Evaluate Ints JK",
+            "Evaluate Strings JK",
+            "HintImageEnchance JK",
+            "Image Upscale Parameters Extract JK",
+            "Ksampler Parameters JK",
+            "Latent Upscale Parameters Extract JK",
+            "Load Image With Metadata JK",
+            "Metadata Pipe Extract JK",
+            "Metadata Pipe JK",
+            "NodesState JK",
+            "Noise Injection Parameters JK",
+            "Noise Injection Pipe Extract JK",
+            "Orbit Poses JK",
+            "OrbitLists to OrbitPoses JK",
+            "OrbitPoses to OrbitLists JK",
+            "Pipe End JK",
+            "Project Setting JK",
+            "Random Beats JK",
+            "Refine 1 Parameters Extract JK",
+            "Refine 2 Parameters Extract JK",
+            "Refine Model Parameters JK",
+            "Refine Pipe Extract JK",
+            "Refine Pipe JK",
+            "Reroute Ckpt JK",
+            "Reroute List JK",
+            "Reroute Resize JK",
+            "Reroute Sampler JK",
+            "Reroute String JK",
+            "Reroute Upscale JK",
+            "Reroute Vae JK",
+            "SDXLPromptStylerAll",
+            "SDXLPromptStylerHorror",
+            "SDXLPromptStylerMisc",
+            "SDXLPromptStylerbyArtist",
+            "SDXLPromptStylerbyCamera",
+            "SDXLPromptStylerbyComposition",
+            "SDXLPromptStylerbyCyberpunkSurrealism",
+            "SDXLPromptStylerbyDepth",
+            "SDXLPromptStylerbyDiva",
+            "SDXLPromptStylerbyEnvironment",
+            "SDXLPromptStylerbyFantasySetting",
+            "SDXLPromptStylerbyFilter",
+            "SDXLPromptStylerbyFocus",
+            "SDXLPromptStylerbyFooocus",
+            "SDXLPromptStylerbyImpressionism",
+            "SDXLPromptStylerbyLighting",
+            "SDXLPromptStylerbyMarc",
+            "SDXLPromptStylerbyMileHigh",
+            "SDXLPromptStylerbyMood",
+            "SDXLPromptStylerbyMre",
+            "SDXLPromptStylerbyMythicalCreature",
+            "SDXLPromptStylerbyOriginal",
+            "SDXLPromptStylerbyQuantumRealism",
+            "SDXLPromptStylerbySai",
+            "SDXLPromptStylerbySteamPunkRealism",
+            "SDXLPromptStylerbySubject",
+            "SDXLPromptStylerbySurrealism",
+            "SDXLPromptStylerbyTheme",
+            "SDXLPromptStylerbyTimeofDay",
+            "SDXLPromptStylerbyTwri",
+            "SDXLPromptStylerbyWyvern",
+            "SDXLPromptbyCelticArt",
+            "SDXLPromptbyContemporaryNordicArt",
+            "SDXLPromptbyFashionArt",
+            "SDXLPromptbyGothicRevival",
+            "SDXLPromptbyIrishFolkArt",
+            "SDXLPromptbyRomanticNationalismArt",
+            "SDXLPromptbySportsArt",
+            "SDXLPromptbyStreetArt",
+            "SDXLPromptbyVikingArt",
+            "SDXLPromptbyWildlifeArt",
+            "Sampler Loader JK",
+            "Save Image with Metadata Flow JK",
+            "Save Image with Metadata JK",
+            "Upscale Model Loader JK",
+            "Upscale Model Parameters Extract JK",
+            "Upscale Model Parameters JK",
+            "Vae Loader JK"
+        ],
+        {
+            "title_aux": "ComfyUI-JakeUpgrade"
+        }
+    ],
+    "https://github.com/jamal-alkharrat/ComfyUI_rotate_image": [
+        [
+            "RotateImage"
+        ],
+        {
+            "title_aux": "ComfyUI_rotate_image"
+        }
+    ],
+    "https://github.com/jamesWalker55/comfyui-p2ldgan": [
+        [
+            "P2LDGAN"
+        ],
+        {
+            "title_aux": "ComfyUI - P2LDGAN Node"
+        }
+    ],
+    "https://github.com/jamesWalker55/comfyui-various": [
+        [
+            "BatchLoadImage",
+            "BatchSaveImage",
+            "GroupInfoExtractFloat",
+            "GroupInfoExtractInt",
+            "GroupLoadBatchImages",
+            "GroupLoadImage",
+            "JWDatetimeString",
+            "JWImageBatchCount",
+            "JWImageContrast",
+            "JWImageExtractFromBatch",
+            "JWImageFlip",
+            "JWImageLevels",
+            "JWImageLoadRGB",
+            "JWImageLoadRGBA",
+            "JWImageLoadRGBA From Clipboard",
+            "JWImageLoadRGBFromClipboard",
+            "JWImageLoadRGBIfExists",
+            "JWImageMix",
+            "JWImageResize",
+            "JWImageResizeByFactor",
+            "JWImageResizeByLongerSide",
+            "JWImageResizeByShorterSide",
+            "JWImageResizeToSquare",
+            "JWImageSaturation",
+            "JWImageSaveToPath",
+            "JWImageSequenceExtractFromBatch",
+            "JWImageStackChannels",
+            "JWInfoHashExtractFloat",
+            "JWInfoHashExtractInteger",
+            "JWInfoHashExtractString",
+            "JWInfoHashFromInfoHashList",
+            "JWInfoHashFromRangedInfo",
+            "JWInfoHashListExtractStringList",
+            "JWInfoHashListFromRangedInfo",
+            "JWInfoHashPrint",
+            "JWLoadImageSequence",
+            "JWLoadImagesFromString",
+            "JWLoopImageSequence",
+            "JWMaskLikeImageSize",
+            "JWMaskResize",
+            "JWMaskSequenceApplyToLatent",
+            "JWMaskSequenceFromMask",
+            "JWMaskSequenceJoin",
+            "JWPrintFloat",
+            "JWPrintImage",
+            "JWPrintInteger",
+            "JWPrintLatent",
+            "JWPrintMask",
+            "JWPrintString",
+            "JWRangedInfoCalculateSubBatch",
+            "JWReferenceOnly",
+            "JWSaveImageSequence",
+            "JWStringListCLIPEncode",
+            "JWStringListFromString",
+            "JWStringListFromStrings",
+            "JWStringListJoin",
+            "JWStringListRepeat",
+            "JWStringListToFormatedString",
+            "JWStringListToString",
+            "JWUncropCrop",
+            "JWUncropNewRect",
+            "JWUncropUncrop",
+            "JamesLoadImageGroup",
+            "RAFTEstimate",
+            "RAFTFlowToImage",
+            "RAFTLoadFlowFromEXRChannels",
+            "RCReceiveFloat",
+            "RCReceiveFloatList",
+            "RCReceiveInt",
+            "RCReceiveIntList",
+            "RCReceiveLatent",
+            "RCSendLatent"
+        ],
+        {
+            "nodename_pattern": "^JW",
+            "title_aux": "Various ComfyUI Nodes by Type"
+        }
+    ],
+    "https://github.com/jax-explorer/fast_video_comfyui": [
+        [
+            "FastImageListToImageBatch"
+        ],
+        {
+            "title_aux": "fast_video_comfyui"
+        }
+    ],
+    "https://github.com/jeffy5/comfyui-faceless-node": [
+        [
+            "FacelessFaceRestore",
+            "FacelessFaceSwap",
+            "FacelessLoadImageUrl",
+            "FacelessLoadVideo",
+            "FacelessLoadVideoImages",
+            "FacelessLoadVideoUrl",
+            "FacelessMergeVideos",
+            "FacelessRemoveBackground",
+            "FacelessSaveVideo",
+            "FacelessUploadVideo",
+            "FacelessVideoFaceRestore",
+            "FacelessVideoFaceSwap",
+            "FacelessVideoRemoveBackground"
+        ],
+        {
+            "title_aux": "Faceless Node for ComfyUI"
+        }
+    ],
+    "https://github.com/jesenzhang/ComfyUI_StreamDiffusion": [
+        [
+            "StreamDiffusion_Loader",
+            "StreamDiffusion_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_StreamDiffusion"
+        }
+    ],
+    "https://github.com/jiaxiangc/ComfyUI-ResAdapter": [
+        [
+            "ResAdapterLoader"
+        ],
+        {
+            "title_aux": "ResAdapter for ComfyUI"
+        }
+    ],
+    "https://github.com/jitcoder/lora-info": [
+        [
+            "ImageFromURL",
+            "LoraInfo"
+        ],
+        {
+            "title_aux": "LoraInfo"
+        }
+    ],
+    "https://github.com/jjkramhoeft/ComfyUI-Jjk-Nodes": [
+        [
+            "JjkConcat",
+            "JjkShowText",
+            "JjkText",
+            "SDXLRecommendedImageSize"
+        ],
+        {
+            "title_aux": "ComfyUI-Jjk-Nodes"
+        }
+    ],
+    "https://github.com/jkrauss82/ultools-comfyui": [
+        [
+            "CLIPTextEncodeWithStats",
+            "OpenPoseEditorAdv",
+            "SaveImgAdv",
+            "SolidMaskAdv"
+        ],
+        {
+            "title_aux": "ULTools for ComfyUI"
+        }
+    ],
+    "https://github.com/jn-jairo/jn_comfyui": [
+        [
+            "JN_AreaAround",
+            "JN_AreaInfo",
+            "JN_AreaNormalize",
+            "JN_AreaToMask",
+            "JN_AreaWidthHeight",
+            "JN_AreaXY",
+            "JN_AudioArrayToBatch",
+            "JN_AudioAutoTune",
+            "JN_AudioBatchToArray",
+            "JN_AudioCompare",
+            "JN_AudioConcatenation",
+            "JN_AudioGetChannels",
+            "JN_AudioInfo",
+            "JN_AudioNoiseReduction",
+            "JN_AudioNormalize",
+            "JN_AudioPitch",
+            "JN_AudioPlot",
+            "JN_AudioReverberation",
+            "JN_AudioSampleRate",
+            "JN_AudioSetChannels",
+            "JN_AudioSlice",
+            "JN_AudioSpeed",
+            "JN_AudioSplitChannels",
+            "JN_AudioStackChannels",
+            "JN_AudioTempo",
+            "JN_AudioTrimSilence",
+            "JN_AudioVolume",
+            "JN_Blip",
+            "JN_BlipLoader",
+            "JN_BooleanOperation",
+            "JN_Condition",
+            "JN_CoolDown",
+            "JN_CoolDownOutput",
+            "JN_DatetimeFormat",
+            "JN_DatetimeInfo",
+            "JN_DatetimeNow",
+            "JN_Dump",
+            "JN_DumpOutput",
+            "JN_Exec",
+            "JN_ExecOutput",
+            "JN_FaceCrop",
+            "JN_FaceRestoreModelLoader",
+            "JN_FaceRestoreWithModel",
+            "JN_FirstActive",
+            "JN_Flow",
+            "JN_FlowOutput",
+            "JN_ImageAddBackground",
+            "JN_ImageAddMask",
+            "JN_ImageBatch",
+            "JN_ImageCenterArea",
+            "JN_ImageCrop",
+            "JN_ImageGrid",
+            "JN_ImageInfo",
+            "JN_ImageRemoveBackground",
+            "JN_ImageSharpness",
+            "JN_ImageSquare",
+            "JN_ImageToMask",
+            "JN_ImageUncrop",
+            "JN_KSampler",
+            "JN_KSamplerAdvancedParams",
+            "JN_KSamplerFaceRestoreParams",
+            "JN_KSamplerResizeInputParams",
+            "JN_KSamplerResizeMaskAreaParams",
+            "JN_KSamplerResizeOutputParams",
+            "JN_KSamplerSeamlessParams",
+            "JN_KSamplerTileParams",
+            "JN_KeyValue",
+            "JN_LoadAudioDirectory",
+            "JN_LoadImageDirectory",
+            "JN_LogicOperation",
+            "JN_MaskBatch",
+            "JN_MaskInfo",
+            "JN_MaskToArea",
+            "JN_MaskToImage",
+            "JN_MathOperation",
+            "JN_MathOperationArray",
+            "JN_MeowHrtfAudio3d",
+            "JN_MeowHrtfModel",
+            "JN_MeowHrtfPosition",
+            "JN_MeowLoadVoice",
+            "JN_MeowSaveVoice",
+            "JN_MeowSentenceSplit",
+            "JN_MeowTts",
+            "JN_MeowTtsAudioToContext",
+            "JN_MeowTtsCoarse",
+            "JN_MeowTtsDecode",
+            "JN_MeowTtsFine",
+            "JN_MeowTtsLoadContext",
+            "JN_MeowTtsModel",
+            "JN_MeowTtsModelCoarse",
+            "JN_MeowTtsModelEncodec",
+            "JN_MeowTtsModelFine",
+            "JN_MeowTtsModelHubert",
+            "JN_MeowTtsModelSemantic",
+            "JN_MeowTtsSaveContext",
+            "JN_MeowTtsSemantic",
+            "JN_MeowTtsTokenizerHubert",
+            "JN_MeowVc",
+            "JN_MeowVcConvertVoice",
+            "JN_MeowVcEncodeSource",
+            "JN_MeowVcEncodeTarget",
+            "JN_MeowVcLoadSpeaker",
+            "JN_MeowVcModelFreeVC",
+            "JN_MeowVcModelWavLM",
+            "JN_MeowVcSaveSpeaker",
+            "JN_PreviewAudio",
+            "JN_PreviewImage",
+            "JN_PreviewMask",
+            "JN_PrimitiveArrayInfo",
+            "JN_PrimitiveBatchToArray",
+            "JN_PrimitiveBoolean",
+            "JN_PrimitiveFloat",
+            "JN_PrimitiveInt",
+            "JN_PrimitivePrompt",
+            "JN_PrimitiveString",
+            "JN_PrimitiveStringMultiline",
+            "JN_PrimitiveStringToArray",
+            "JN_PrimitiveToArray",
+            "JN_PrimitiveToBoolean",
+            "JN_PrimitiveToFloat",
+            "JN_PrimitiveToInt",
+            "JN_PrimitiveToString",
+            "JN_RemBGSession",
+            "JN_SaveAudio",
+            "JN_SaveImage",
+            "JN_Seamless",
+            "JN_SeamlessBorder",
+            "JN_SeamlessBorderCrop",
+            "JN_SelectItem",
+            "JN_Sleep",
+            "JN_SleepOutput",
+            "JN_SliceOperation",
+            "JN_StopIf",
+            "JN_StopIfOutput",
+            "JN_TensorInfo",
+            "JN_TextConcatenation",
+            "JN_TextReplace",
+            "JN_TimedeltaFormat",
+            "JN_TimedeltaInfo"
+        ],
+        {
+            "title_aux": "JNComfy"
+        }
+    ],
+    "https://github.com/john-mnz/ComfyUI-Inspyrenet-Rembg": [
+        [
+            "InspyrenetRembg",
+            "InspyrenetRembgAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI-Inspyrenet-Rembg"
+        }
+    ],
+    "https://github.com/jojkaart/ComfyUI-sampler-lcm-alternative": [
+        [
+            "LCMScheduler",
+            "SamplerLCMAlternative",
+            "SamplerLCMCycle",
+            "SamplerLCMDualNoise",
+            "SamplerLCMDuoFusion",
+            "SamplerLCMParallel"
+        ],
+        {
+            "title_aux": "ComfyUI-sampler-lcm-alternative"
+        }
+    ],
+    "https://github.com/jordoh/ComfyUI-Deepface": [
+        [
+            "DeepfaceExtractFaces",
+            "DeepfaceVerify"
+        ],
+        {
+            "title_aux": "ComfyUI Deepface"
+        }
+    ],
+    "https://github.com/jroc22/ComfyUI-CSV-prompt-builder": [
+        [
+            "BuildPromptFromCSV"
+        ],
+        {
+            "title_aux": "ComfyUI-CSV-prompt-builder"
+        }
+    ],
+    "https://github.com/jstit/comfyui_custom_node_image": [
+        [
+            "ImageCropCircle"
+        ],
+        {
+            "title_aux": "comfyui_custom_node_image"
+        }
+    ],
+    "https://github.com/jtrue/ComfyUI-JaRue": [
+        [
+            "Text2Image_jru",
+            "YouTube2Prompt_jru"
+        ],
+        {
+            "nodename_pattern": "_jru$",
+            "title_aux": "ComfyUI-JaRue"
+        }
+    ],
+    "https://github.com/jtydhr88/ComfyUI-LayerDivider": [
+        [
+            "LayerDivider - Color Base",
+            "LayerDivider - Divide Layer",
+            "LayerDivider - Load SAM Mask Generator",
+            "LayerDivider - Segment Mask"
+        ],
+        {
+            "title_aux": "ComfyUI LayerDivider"
+        }
+    ],
+    "https://github.com/jtydhr88/ComfyUI-Unique3D": [
+        [
+            "Unique3DLoadPipeline",
+            "Unique3DRun - Geo Reconstruct",
+            "Unique3DRun - MVPrediction"
+        ],
+        {
+            "title_aux": "ComfyUI Unique3D"
+        }
+    ],
+    "https://github.com/justUmen/Bjornulf_custom_nodes": [
+        [
+            "Bjornulf_CheckBlackImage",
+            "Bjornulf_ClearVRAM",
+            "Bjornulf_CombineBackgroundOverlay",
+            "Bjornulf_CombineTexts",
+            "Bjornulf_CustomStringType",
+            "Bjornulf_GrayscaleTransform",
+            "Bjornulf_GreenScreenToTransparency",
+            "Bjornulf_ImageMaskCutter",
+            "Bjornulf_LoadImageWithTransparency",
+            "Bjornulf_LoopAllLines",
+            "Bjornulf_LoopBasicBatch",
+            "Bjornulf_LoopCombosSamplersSchedulers",
+            "Bjornulf_LoopFloat",
+            "Bjornulf_LoopInteger",
+            "Bjornulf_LoopSamplers",
+            "Bjornulf_LoopSchedulers",
+            "Bjornulf_LoopTexts",
+            "Bjornulf_RandomLineFromInput",
+            "Bjornulf_RandomModelClipVae",
+            "Bjornulf_RandomTexts",
+            "Bjornulf_RemoveTransparency",
+            "Bjornulf_ResizeImage",
+            "Bjornulf_SaveApiImage",
+            "Bjornulf_SaveBjornulfLobeChat",
+            "Bjornulf_SaveImagePath",
+            "Bjornulf_SaveImageToFolder",
+            "Bjornulf_SaveText",
+            "Bjornulf_SaveTmpImage",
+            "Bjornulf_ShowFloat",
+            "Bjornulf_ShowInt",
+            "Bjornulf_ShowText",
+            "Bjornulf_TextToStringAndSeed",
+            "Bjornulf_VideoPingPong",
+            "Bjornulf_WriteImageAllInOne",
+            "Bjornulf_WriteImageCharacter",
+            "Bjornulf_WriteImageCharacters",
+            "Bjornulf_WriteImageEnvironment",
+            "Bjornulf_WriteText",
+            "Bjornulf_imagesToVideo",
+            "Bjornulf_ollamaLoader"
+        ],
+        {
+            "title_aux": "Bjornulf_custom_nodes"
+        }
+    ],
+    "https://github.com/k-komarov/comfyui-bunny-cdn-storage": [
+        [
+            "Save Image to BunnyStorage"
+        ],
+        {
+            "title_aux": "comfyui-bunny-cdn-storage"
+        }
+    ],
+    "https://github.com/ka-puna/comfyui-yanc": [
+        [
+            "YANC.ConcatStrings",
+            "YANC.FormatDatetimeString",
+            "YANC.GetWidgetValueString",
+            "YANC.IntegerCaster",
+            "YANC.MultilineString",
+            "YANC.SaveImageWEBP",
+            "YANC.TruncateString"
+        ],
+        {
+            "title_aux": "comfyui-yanc"
+        }
+    ],
+    "https://github.com/kaanyalova/ComfyUI_ExtendedImageFormats": [
+        [
+            "ExtendedSaveImage"
+        ],
+        {
+            "title_aux": "Extended Image Formats for ComfyUI"
+        }
+    ],
+    "https://github.com/kadirnar/ComfyUI-Transformers": [
+        [
+            "DepthEstimationInference",
+            "ImageClassificationPipeline",
+            "ImageSegmentationPipeline",
+            "LoadDepthModel",
+            "ObjectDetectionPipeline"
+        ],
+        {
+            "title_aux": "ComfyUI-Transformers"
+        }
+    ],
+    "https://github.com/kadirnar/ComfyUI-YOLO": [
+        [
+            "BBoxToCoco",
+            "BBoxToXYWH",
+            "BBoxVisNode",
+            "CocoToNumber",
+            "ConvertToDict",
+            "CustomUltralyticsModelLoader",
+            "GetImageSize",
+            "ImageResizeAdvanced",
+            "UltralyticsInference",
+            "UltralyticsModelLoader",
+            "UltralyticsVisualization",
+            "ViewText"
+        ],
+        {
+            "title_aux": "ComfyUI-YOLO"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-path-util": [
+        [
+            "path_util_PathAbspath",
+            "path_util_PathBasename",
+            "path_util_PathDirname",
+            "path_util_PathExists",
+            "path_util_PathIsdir",
+            "path_util_PathIsfile",
+            "path_util_PathJoin",
+            "path_util_PathRelpath",
+            "path_util_PathSplitext"
+        ],
+        {
+            "title_aux": "ComfyUI_demucus"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-speech-dataset-toolkit": [
+        [
+            "SDT_AudioProperty",
+            "SDT_ConcatAudio",
+            "SDT_CutAudio",
+            "SDT_DemucsApply",
+            "SDT_DemucsLoader",
+            "SDT_FasterWhisperListSegments",
+            "SDT_FasterWhisperLoader",
+            "SDT_FasterWhisperSegmentProperty",
+            "SDT_FasterWhisperTextFromSegments",
+            "SDT_FasterWhisperTranscribe",
+            "SDT_GriffinLim",
+            "SDT_JoinAudio",
+            "SDT_KotobaWhisperListSegments",
+            "SDT_KotobaWhisperLoaderLong",
+            "SDT_KotobaWhisperLoaderShort",
+            "SDT_KotobaWhisperSegmentProperty",
+            "SDT_KotobaWhisperTranscribeLong",
+            "SDT_KotobaWhisperTranscribeShort",
+            "SDT_LFCC",
+            "SDT_LoadAudio",
+            "SDT_LoadAudios",
+            "SDT_MFCC",
+            "SDT_MakeSilenceAudio",
+            "SDT_MelSpectrogram",
+            "SDT_NemoAsrListSegments",
+            "SDT_NemoAsrListSubwords",
+            "SDT_NemoAsrLoader",
+            "SDT_NemoAsrSegmentProperty",
+            "SDT_NemoAsrSubwordProperty",
+            "SDT_NemoAsrTranscribe",
+            "SDT_NueAsrLoader",
+            "SDT_NueAsrTranscribe",
+            "SDT_PlayAudio",
+            "SDT_PlotMelFilterBank",
+            "SDT_PlotPitch",
+            "SDT_PlotSpecgram",
+            "SDT_PlotSpectrogram",
+            "SDT_PlotWaveForm",
+            "SDT_ResampleAudio",
+            "SDT_SaveAudio",
+            "SDT_SaveAudioWithSequentialNumbering",
+            "SDT_SilenceAudio",
+            "SDT_SileroVADApply",
+            "SDT_SileroVADCollectChunks",
+            "SDT_SileroVADListTimestamps",
+            "SDT_SileroVADLoader",
+            "SDT_SileroVADTimestampProperty",
+            "SDT_Spectrogram",
+            "SDT_SpeechMOSLoader",
+            "SDT_SpeechMOSScore",
+            "SDT_SplitAudio",
+            "SDT_TrimAudio",
+            "SDT_TrimAudioBySample"
+        ],
+        {
+            "title_aux": "ComfyUI-speech-dataset-toolkit"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-string-util": [
+        [
+            "string_util_Str",
+            "string_util_StrConcat",
+            "string_util_StrCount",
+            "string_util_StrEndsWith",
+            "string_util_StrEqual",
+            "string_util_StrFind",
+            "string_util_StrFormat",
+            "string_util_StrJoin",
+            "string_util_StrLen",
+            "string_util_StrLower",
+            "string_util_StrLstrip",
+            "string_util_StrNotEqual",
+            "string_util_StrReplace",
+            "string_util_StrRstrip",
+            "string_util_StrSlice",
+            "string_util_StrSplit",
+            "string_util_StrStartsWith",
+            "string_util_StrStrip",
+            "string_util_StrUpper"
+        ],
+        {
+            "title_aux": "ComfyUI-string-util"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-text-file-util": [
+        [
+            "text_file_util_ReadAllLines",
+            "text_file_util_ReadAllText",
+            "text_file_util_WriteText",
+            "text_file_util_WriteTextLines",
+            "text_file_util_WriteTextWithSequentialNumbering"
+        ],
+        {
+            "title_aux": "ComfyUI-text-file-util"
+        }
+    ],
+    "https://github.com/kappa54m/ComfyUI_Usability": [
+        [
+            "KLoadImageByPath",
+            "KLoadImageByPathAdvanced",
+            "KLoadImageDedup"
+        ],
+        {
+            "title_aux": "ComfyUI Usability"
+        }
+    ],
+    "https://github.com/katalist-ai/comfyUI-nsfw-detection": [
+        [
+            "NudenetDetector"
+        ],
+        {
+            "title_aux": "comfyUI-nsfw-detection"
+        }
+    ],
+    "https://github.com/kealiu/ComfyUI-S3-Tools": [
+        [
+            "Load Image From S3",
+            "Save Image To S3"
+        ],
+        {
+            "title_aux": "ComfyUI Load and Save file to S3"
+        }
+    ],
+    "https://github.com/kealiu/ComfyUI-Zero123-Porting": [
+        [
+            "Zero123: Image Preprocess",
+            "Zero123: Image Rotate in 3D"
+        ],
+        {
+            "title_aux": "ComfyUI-Zero123-Porting"
+        }
+    ],
+    "https://github.com/kealiu/ComfyUI-ZeroShot-MTrans": [
+        [
+            "ZeST: Grayout Subject"
+        ],
+        {
+            "title_aux": "ComfyUI-ZeroShot-MTrans"
+        }
+    ],
+    "https://github.com/kenjiqq/qq-nodes-comfyui": [
+        [
+            "Any List",
+            "Any List Iterator",
+            "Any To Any",
+            "Axis Pack",
+            "Axis To Any",
+            "Axis Unpack",
+            "Load Lines From Text File",
+            "Slice List",
+            "Text Splitter",
+            "XY Grid Accumulator",
+            "XY Grid Helper"
+        ],
+        {
+            "title_aux": "qq-nodes-comfyui"
+        }
+    ],
+    "https://github.com/kft334/Knodes": [
+        [
+            "Image(s) To Websocket (Base64)",
+            "ImageOutput",
+            "Load Image (Base64)",
+            "Load Images (Base64)"
+        ],
+        {
+            "title_aux": "Knodes"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-ADMotionDirector": [
+        [
+            "ADMD_AdditionalModelSelect",
+            "ADMD_CheckpointLoader",
+            "ADMD_ComfyModelLoader",
+            "ADMD_DiffusersLoader",
+            "ADMD_InitializeTraining",
+            "ADMD_LoadLora",
+            "ADMD_MakeBatchList",
+            "ADMD_SaveLora",
+            "ADMD_TrainLora",
+            "ADMD_ValidationSampler",
+            "ADMD_ValidationSettings"
+        ],
+        {
+            "title_aux": "Animatediff MotionLoRA Trainer"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-APISR-KJ": [
+        [
+            "APISR_upscale"
+        ],
+        {
+            "title_aux": "ComfyUI-APISR"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-BrushNet-Wrapper": [
+        [
+            "brushnet_ella_loader",
+            "brushnet_ipadapter_matteo",
+            "brushnet_model_loader",
+            "brushnet_sampler",
+            "brushnet_sampler_ella",
+            "powerpaint_brushnet_sampler"
+        ],
+        {
+            "title_aux": "ComfyUI-BrushNet-Wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-CCSR": [
+        [
+            "CCSR_Model_Select",
+            "CCSR_Upscale",
+            "DownloadAndLoadCCSRModel"
+        ],
+        {
+            "title_aux": "ComfyUI-CCSR"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-CogVideoXWrapper": [
+        [
+            "CogVideoDecode",
+            "CogVideoImageEncode",
+            "CogVideoSampler",
+            "CogVideoTextEncode",
+            "DownloadAndLoadCogVideoModel"
+        ],
+        {
+            "title_aux": "ComfyUI CogVideoX Wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-ControlNeXt-SVD": [
+        [
+            "ControlNextDecode",
+            "ControlNextDiffusersScheduler",
+            "ControlNextGetPoses",
+            "ControlNextSVDApply",
+            "ControlNextSampler",
+            "DownloadAndLoadControlNeXt"
+        ],
+        {
+            "title_aux": "ComfyUI nodes for ControlNext-SVD v2"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DDColor": [
+        [
+            "DDColor_Colorize"
+        ],
+        {
+            "title_aux": "ComfyUI-DDColor"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DepthAnythingV2": [
+        [
+            "DepthAnything_V2",
+            "DownloadAndLoadDepthAnythingV2Model"
+        ],
+        {
+            "title_aux": "ComfyUI-DepthAnythingV2"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DiffusionLight": [
+        [
+            "chrome_ball_to_envmap",
+            "exposure_to_hdr"
+        ],
+        {
+            "title_aux": "DiffusionLight implementation for ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DynamiCrafterWrapper": [
+        [
+            "DownloadAndLoadCLIPModel",
+            "DownloadAndLoadCLIPVisionModel",
+            "DownloadAndLoadDynamiCrafterCNModel",
+            "DownloadAndLoadDynamiCrafterModel",
+            "DynamiCrafterBatchInterpolation",
+            "DynamiCrafterCNLoader",
+            "DynamiCrafterControlnetApply",
+            "DynamiCrafterI2V",
+            "DynamiCrafterLoadInitNoise",
+            "DynamiCrafterModelLoader",
+            "ToonCrafterDecode",
+            "ToonCrafterInterpolation"
+        ],
+        {
+            "title_aux": "ComfyUI-DynamiCrafterWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-ELLA-wrapper": [
+        [
+            "diffusers_model_loader",
+            "diffusers_sampler",
+            "ella_model_loader",
+            "ella_sampler",
+            "ella_t5_embeds"
+        ],
+        {
+            "title_aux": "ComfyUI-ELLA-wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-Florence2": [
+        [
+            "DownloadAndLoadFlorence2Lora",
+            "DownloadAndLoadFlorence2Model",
+            "Florence2ModelLoader",
+            "Florence2Run"
+        ],
+        {
+            "title_aux": "ComfyUI-Florence2"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-FluxTrainer": [
+        [
+            "ExtractFluxLoRA",
+            "FluxKohyaInferenceSampler",
+            "FluxTrainEnd",
+            "FluxTrainLoop",
+            "FluxTrainModelSelect",
+            "FluxTrainResume",
+            "FluxTrainSave",
+            "FluxTrainSaveModel",
+            "FluxTrainValidate",
+            "FluxTrainValidationSettings",
+            "InitFluxLoRATraining",
+            "InitFluxTraining",
+            "OptimizerConfig",
+            "OptimizerConfigAdafactor",
+            "OptimizerConfigProdigy",
+            "TrainDatasetAdd",
+            "TrainDatasetGeneralConfig",
+            "UploadToHuggingFace",
+            "VisualizeLoss"
+        ],
+        {
+            "title_aux": "ComfyUI Flux Trainer"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-Geowizard": [
+        [
+            "geowizard_model_loader",
+            "geowizard_sampler"
+        ],
+        {
+            "title_aux": "Geowizard depth and normal estimation in ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-IC-Light": [
+        [
+            "BackgroundScaler",
+            "CalculateNormalsFromImages",
+            "DetailTransfer",
+            "ICLightConditioning",
+            "LightSource",
+            "LoadAndApplyICLightUnet",
+            "LoadHDRImage"
+        ],
+        {
+            "title_aux": "ComfyUI-IC-Light"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-KJNodes": [
+        [
+            "AddLabel",
+            "AppendInstanceDiffusionTracking",
+            "BatchCLIPSeg",
+            "BatchCropFromMask",
+            "BatchCropFromMaskAdvanced",
+            "BatchUncrop",
+            "BatchUncropAdvanced",
+            "BboxToInt",
+            "BboxVisualize",
+            "CameraPoseVisualizer",
+            "CheckpointPerturbWeights",
+            "ColorMatch",
+            "ColorToMask",
+            "CondPassThrough",
+            "ConditioningMultiCombine",
+            "ConditioningSetMaskAndCombine",
+            "ConditioningSetMaskAndCombine3",
+            "ConditioningSetMaskAndCombine4",
+            "ConditioningSetMaskAndCombine5",
+            "CreateAudioMask",
+            "CreateFadeMask",
+            "CreateFadeMaskAdvanced",
+            "CreateFluidMask",
+            "CreateGradientFromCoords",
+            "CreateGradientMask",
+            "CreateInstanceDiffusionTracking",
+            "CreateMagicMask",
+            "CreateShapeImageOnPath",
+            "CreateShapeMask",
+            "CreateShapeMaskOnPath",
+            "CreateTextMask",
+            "CreateTextOnPath",
+            "CreateVoronoiMask",
+            "CrossFadeImages",
+            "CustomSigmas",
+            "DifferentialDiffusionAdvanced",
+            "DownloadAndLoadCLIPSeg",
+            "DrawInstanceDiffusionTracking",
+            "DummyOut",
+            "EmptyLatentImagePresets",
+            "FilterZeroMasksAndCorrespondingImages",
+            "FlipSigmasAdjusted",
+            "FloatConstant",
+            "FloatToMask",
+            "FloatToSigmas",
+            "FluxBlockLoraLoader",
+            "FluxBlockLoraSelect",
+            "GLIGENTextBoxApplyBatchCoords",
+            "GenerateNoise",
+            "GetImageRangeFromBatch",
+            "GetImageSizeAndCount",
+            "GetImagesFromBatchIndexed",
+            "GetLatentsFromBatchIndexed",
+            "GetMaskSizeAndCount",
+            "GradientToFloat",
+            "GrowMaskWithBlur",
+            "INTConstant",
+            "ImageAddMulti",
+            "ImageAndMaskPreview",
+            "ImageBatchMulti",
+            "ImageBatchRepeatInterleaving",
+            "ImageBatchTestPattern",
+            "ImageConcanate",
+            "ImageConcatFromBatch",
+            "ImageConcatMulti",
+            "ImageGrabPIL",
+            "ImageGridComposite2x2",
+            "ImageGridComposite3x3",
+            "ImageGridtoBatch",
+            "ImageNormalize_Neg1_To_1",
+            "ImagePadForOutpaintMasked",
+            "ImagePadForOutpaintTargetSize",
+            "ImagePass",
+            "ImageResizeKJ",
+            "ImageTransformByNormalizedAmplitude",
+            "ImageUpscaleWithModelBatched",
+            "InjectNoiseToLatent",
+            "InsertImageBatchByIndexes",
+            "InsertImagesToBatchIndexed",
+            "InterpolateCoords",
+            "Intrinsic_lora_sampling",
+            "JoinStringMulti",
+            "JoinStrings",
+            "LoadAndResizeImage",
+            "LoadImagesFromFolderKJ",
+            "LoadResAdapterNormalization",
+            "MaskBatchMulti",
+            "MaskOrImageToWeight",
+            "MergeImageChannels",
+            "ModelPassThrough",
+            "NormalizedAmplitudeToFloatList",
+            "NormalizedAmplitudeToMask",
+            "OffsetMask",
+            "OffsetMaskByNormalizedAmplitude",
+            "PlotCoordinates",
+            "PointsEditor",
+            "PreviewAnimation",
+            "RemapImageRange",
+            "RemapMaskRange",
+            "ReplaceImagesInBatch",
+            "ResizeMask",
+            "ReverseImageBatch",
+            "RoundMask",
+            "SV3D_BatchSchedule",
+            "SaveImageWithAlpha",
+            "ScaleBatchPromptSchedule",
+            "Screencap_mss",
+            "Sleep",
+            "SomethingToString",
+            "SoundReactive",
+            "SplineEditor",
+            "SplitBboxes",
+            "SplitImageChannels",
+            "StabilityAPI_SD3",
+            "StableZero123_BatchSchedule",
+            "StringConstant",
+            "StringConstantMultiline",
+            "Superprompt",
+            "VRAM_Debug",
+            "WebcamCaptureCV2",
+            "WeightScheduleConvert",
+            "WeightScheduleExtend",
+            "WidgetToString"
+        ],
+        {
+            "title_aux": "KJNodes for ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-KwaiKolorsWrapper": [
+        [
+            "DownloadAndLoadChatGLM3",
+            "DownloadAndLoadKolorsModel",
+            "KolorsSampler",
+            "KolorsTextEncode",
+            "LoadChatGLM3"
+        ],
+        {
+            "title_aux": "ComfyUI-KwaiKolorsWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LLaVA-OneVision": [
+        [
+            "DownloadAndLoadLLaVAOneVisionModel",
+            "LLaVA_OneVision_Run",
+            "OneVisionCaptionFolder",
+            "SaveCaptionToTextFile"
+        ],
+        {
+            "title_aux": "ComfyUI Llava-OneVision"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LaVi-Bridge-Wrapper": [
+        [
+            "lavi_bridge_llama_encoder",
+            "lavi_bridge_t5_encoder",
+            "lavibridge_model_loader",
+            "lavibridge_sampler"
+        ],
+        {
+            "title_aux": "ComfyUI-LaVi-Bridge-Wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LivePortraitKJ": [
+        [
+            "DownloadAndLoadLivePortraitModels",
+            "KeypointScaler",
+            "KeypointsToImage",
+            "LivePortraitComposite",
+            "LivePortraitCropper",
+            "LivePortraitLoadCropper",
+            "LivePortraitLoadFaceAlignmentCropper",
+            "LivePortraitLoadMediaPipeCropper",
+            "LivePortraitProcess",
+            "LivePortraitRetargeting"
+        ],
+        {
+            "title_aux": "ComfyUI-LivePortraitKJ"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LuminaWrapper": [
+        [
+            "DownloadAndLoadGemmaModel",
+            "DownloadAndLoadLuminaModel",
+            "GemmaSampler",
+            "LuminaGemmaTextEncode",
+            "LuminaGemmaTextEncodeArea",
+            "LuminaT2ISampler",
+            "LuminaTextAreaAppend"
+        ],
+        {
+            "title_aux": "ComfyUI-LuminaWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-Marigold": [
+        [
+            "ColorizeDepthmap",
+            "MarigoldDepthEstimation",
+            "MarigoldDepthEstimationVideo",
+            "MarigoldDepthEstimation_v2",
+            "MarigoldDepthEstimation_v2_video",
+            "MarigoldModelLoader",
+            "RemapDepth",
+            "SaveImageOpenEXR"
+        ],
+        {
+            "title_aux": "Marigold depth estimation in ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-MimicMotionWrapper": [
+        [
+            "DiffusersScheduler",
+            "DownloadAndLoadMimicMotionModel",
+            "MimicMotionDecode",
+            "MimicMotionGetPoses",
+            "MimicMotionSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-MimicMotionWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-OpenDiTWrapper": [
+        [
+            "DownloadAndLoadOpenDiTT5Model",
+            "DownloadAndLoadOpenSoraModel",
+            "DownloadAndLoadOpenSoraVAE",
+            "OpenDiTConditioning",
+            "OpenDiTSampler",
+            "OpenSoraDecode",
+            "OpenSoraEncodeReference"
+        ],
+        {
+            "title_aux": "ComfyUI-OpenDiTWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-SUPIR": [
+        [
+            "SUPIR_Upscale",
+            "SUPIR_conditioner",
+            "SUPIR_decode",
+            "SUPIR_encode",
+            "SUPIR_first_stage",
+            "SUPIR_model_loader",
+            "SUPIR_model_loader_v2",
+            "SUPIR_model_loader_v2_clip",
+            "SUPIR_sample",
+            "SUPIR_tiles"
+        ],
+        {
+            "title_aux": "ComfyUI-SUPIR"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-depth-fm": [
+        [
+            "Depth_fm"
+        ],
+        {
+            "title_aux": "ComfyUI-depth-fm"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-moondream": [
+        [
+            "MoondreamQuery",
+            "MoondreamQueryCaptions"
+        ],
+        {
+            "title_aux": "ComfyUI-moondream"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-segment-anything-2": [
+        [
+            "DownloadAndLoadSAM2Model",
+            "Florence2toCoordinates",
+            "Sam2AutoSegmentation",
+            "Sam2Segmentation",
+            "Sam2VideoSegmentation",
+            "Sam2VideoSegmentationAddPoints"
+        ],
+        {
+            "title_aux": "ComfyUI-segment-anything-2"
+        }
+    ],
+    "https://github.com/kinfolk0117/ComfyUI_GradientDeepShrink": [
+        [
+            "GradientPatchModelAddDownscale",
+            "GradientPatchModelAddDownscaleAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI_GradientDeepShrink"
+        }
+    ],
+    "https://github.com/kinfolk0117/ComfyUI_Pilgram": [
+        [
+            "Pilgram"
+        ],
+        {
+            "title_aux": "ComfyUI_Pilgram"
+        }
+    ],
+    "https://github.com/kinfolk0117/ComfyUI_SimpleTiles": [
+        [
+            "DynamicTileMerge",
+            "DynamicTileSplit",
+            "TileCalc",
+            "TileMerge",
+            "TileSplit"
+        ],
+        {
+            "title_aux": "SimpleTiles"
+        }
+    ],
+    "https://github.com/klinter007/klinter_nodes": [
+        [
+            "Filter",
+            "Florence2Captions2IPA",
+            "PresentString",
+            "SingleString",
+            "SizeSelector",
+            "YellowBus",
+            "YellowBusV2",
+            "concat"
+        ],
+        {
+            "title_aux": "Klinter_nodes"
+        }
+    ],
+    "https://github.com/knuknX/ComfyUI-Image-Tools": [
+        [
+            "BatchImagePathLoader",
+            "ImageBgRemoveProcessor",
+            "ImageCheveretoUploader",
+            "ImageStandardResizeProcessor",
+            "JSONMessageNotifyTool",
+            "PreviewJSONNode",
+            "SingleImagePathLoader",
+            "SingleImageUrlLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Tools"
+        }
+    ],
+    "https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI": [
+        [
+            "LLLiteLoader"
+        ],
+        {
+            "title_aux": "ControlNet-LLLite-ComfyUI"
+        }
+    ],
+    "https://github.com/komojini/ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes": [
+        [
+            "S3 Bucket LoRA",
+            "S3Bucket_Load_LoRA",
+            "XL DreamBooth LoRA",
+            "XLDB_LoRA"
+        ],
+        {
+            "title_aux": "ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes"
+        }
+    ],
+    "https://github.com/komojini/komojini-comfyui-nodes": [
+        [
+            "BatchCreativeInterpolationNodeDynamicSettings",
+            "CachedGetter",
+            "DragNUWAImageCanvas",
+            "FlowBuilder",
+            "FlowBuilder (adv)",
+            "FlowBuilder (advanced)",
+            "FlowBuilder (advanced) Setter",
+            "FlowBuilderSetter",
+            "FlowBuilderSetter (adv)",
+            "Getter",
+            "ImageCropByRatio",
+            "ImageCropByRatioAndResize",
+            "ImageGetter",
+            "ImageMerger",
+            "ImagesCropByRatioAndResizeBatch",
+            "KSamplerAdvancedCacheable",
+            "KSamplerCacheable",
+            "Setter",
+            "UltimateVideoLoader",
+            "UltimateVideoLoader (simple)",
+            "YouTubeVideoLoader"
+        ],
+        {
+            "title_aux": "komojini-comfyui-nodes"
+        }
+    ],
+    "https://github.com/kudou-reira/ComfyUI_StringToHex": [
+        [
+            "ColorNameToHex"
+        ],
+        {
+            "title_aux": "ComfyUI_StringToHex"
+        }
+    ],
+    "https://github.com/kunieone/ComfyUI_alkaid": [
+        [
+            "A_EmptyLatentImageLongside",
+            "A_Face3DSwapper",
+            "A_FaceCrop",
+            "A_FacePaste",
+            "A_GetImageSize",
+            "A_OpenPosePreprocessor",
+            "AdapterFace",
+            "AdapterFaceLoader",
+            "AdapterStyle",
+            "AdapterStyleLoader",
+            "AlkaidLoader",
+            "ApplyAdapter",
+            "ApplyControlNet_KPS",
+            "CombineAdapterPatch",
+            "KSamplerHires"
+        ],
+        {
+            "title_aux": "ComfyUI_alkaid"
+        }
+    ],
+    "https://github.com/kwaroran/abg-comfyui": [
+        [
+            "Remove Image Background (abg)"
+        ],
+        {
+            "title_aux": "abg-comfyui"
+        }
+    ],
+    "https://github.com/l20richo/ComfyUI-Azure-Blob-Storage": [
+        [
+            "DownloadFileBLOB",
+            "LoadImageBLOB",
+            "SaveImageBLOB",
+            "SaveVideoFilesBLOB",
+            "UploadFileBLOB"
+        ],
+        {
+            "title_aux": "ComfyUI-Azure-Blob-Storage"
+        }
+    ],
+    "https://github.com/laksjdjf/Batch-Condition-ComfyUI": [
+        [
+            "Batch String",
+            "CLIP Text Encode (Batch)",
+            "String Input"
+        ],
+        {
+            "title_aux": "Batch-Condition-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/LCMSampler-ComfyUI": [
+        [
+            "SamplerLCM",
+            "TAESDLoader"
+        ],
+        {
+            "title_aux": "LCMSampler-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/LoRTnoC-ComfyUI": [
+        [
+            "LortnocLoader"
+        ],
+        {
+            "title_aux": "LoRTnoC-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI": [
+        [
+            "CDTuner",
+            "Negapip",
+            "Negpip"
+        ],
+        {
+            "title_aux": "cd-tuner_negpip-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/cgem156-ComfyUI": [
+        [
+            "GradualLatentSampler",
+            "LCMSamplerRCFG",
+            "LoadAestheticShadow",
+            "PredictAesthetic",
+            "TCDSampler",
+            "TextScheduler"
+        ],
+        {
+            "title_aux": "cgem156-ComfyUI\ud83c\udf4c"
+        }
+    ],
+    "https://github.com/laksjdjf/pfg-ComfyUI": [
+        [
+            "PFG"
+        ],
+        {
+            "title_aux": "pfg-ComfyUI"
+        }
+    ],
+    "https://github.com/larsupb/LoRA-Merger-ComfyUI": [
+        [
+            "PM LoRA Apply",
+            "PM LoRA Loader",
+            "PM LoRA Merger",
+            "PM LoRA Resizer",
+            "PM LoRA SVD Merger",
+            "PM LoRA Save",
+            "XY: PM LoRA Modes",
+            "XY: PM LoRA SVD Rank",
+            "XY: PM LoRA Strengths"
+        ],
+        {
+            "title_aux": "LoRA Power-Merger ComfyUI"
+        }
+    ],
+    "https://github.com/latenightlabs/ComfyUI-LNL": [
+        [
+            "LNL_FrameSelector",
+            "LNL_FrameSelectorV2",
+            "LNL_FrameSelectorV3"
+        ],
+        {
+            "title_aux": "LNL Frame Selector"
+        }
+    ],
+    "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX": [
+        [
+            "HeadOrientationNode"
+        ],
+        {
+            "title_aux": "Head Orientation Node"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_CrossImageAttention": [
+        [
+            "AppearanceTransferInference",
+            "AppearanceTransferModelModelLoader",
+            "CIAConfig",
+            "LoadImagePath",
+            "LoadLatents"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use CrossImageAttention"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_InternVL2": [
+        [
+            "DynamicPreprocess",
+            "InternVLHFInference",
+            "InternVLLMDEPLOYInference",
+            "InternVLModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI_InternVL2"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_LLaSM": [
+        [
+            "LLaSM2Interface",
+            "LLaSM2ModelLoader",
+            "LLaSMLoadAudio"
+        ],
+        {
+            "title_aux": "ComfyUI_LLaSM"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_M3Net": [
+        [
+            "M3Net_Interface",
+            "M3Net_ModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI_M3Net"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_MasaCtrl": [
+        [
+            "DirectSampler",
+            "MasaCtrlConcatImage",
+            "MasaCtrlInversion",
+            "MasaCtrlLoadImage",
+            "MasaCtrlModelLoader",
+            "MutualSelfAttentionControlMaskAutoSampler",
+            "MutualSelfAttentionControlSampler"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use MasaCtrl"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_Style_Aligned": [
+        [
+            "SAControlnet_ModelLoader",
+            "SADepth",
+            "SAHandler",
+            "SAInversion",
+            "SASDXLControlnetKsampler",
+            "SASDXLKampler",
+            "SASDXLTransferKsampler",
+            "SASDXL_ModelLoader",
+            "SchedulerLoader"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use Style-Aligned"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_VideoEditing": [
+        [
+            "LoadVideo2Images",
+            "VEdit_ControlNet_ModelLoader",
+            "VEdit_ModelLoader",
+            "VEdit_Sampler",
+            "VEdit_image2canny"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use VideoEditing"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_VisualAttentionMap": [
+        [
+            "DecodeLatent",
+            "HFModelLoader",
+            "ShowCrossAttn",
+            "ShowImages",
+            "ShowSelfAttn",
+            "Text2ImageInference"
+        ],
+        {
+            "title_aux": "ComfyUI_VisualAttentionMap"
+        }
+    ],
+    "https://github.com/leestuartx/ComfyUI-GG": [
+        [
+            "AddPaddingToImage",
+            "ForLoopNode",
+            "ImageMetadataExtractor",
+            "InputNode",
+            "MetadataExtractBySeed",
+            "MetadataExtractorBySeed",
+            "OutputNode",
+            "ResizeImageProportionally",
+            "WorkspaceNode"
+        ],
+        {
+            "title_aux": "ComfyUI-GG"
+        }
+    ],
+    "https://github.com/leiweiqiang/ComfyUI-TRA": [
+        [
+            "TclEbSynth",
+            "TclEbSynthBatch",
+            "TclExtractFramesFromVideo",
+            "TclExtractFramesFromVideoFile",
+            "TclFrames2Video",
+            "TclLoraGenDatasets",
+            "TclLoraSaveImages",
+            "TclLoraTraining",
+            "TclSaveVideoFromFrames",
+            "TclYoloV8Segmentation",
+            "TclYoloV9Segmentation"
+        ],
+        {
+            "title_aux": "ComfyUI-TRA"
+        }
+    ],
+    "https://github.com/lenskikh/ComfyUI-Prompt-Worker": [
+        [
+            "Prompt Worker"
+        ],
+        {
+            "title_aux": "Propmt Worker"
+        }
+    ],
+    "https://github.com/leoleelxh/ComfyUI-LLMs": [
+        [
+            "\ud83d\uddbc\ufe0f LLMs_Vison_Ali",
+            "\ud83d\uddbc\ufe0f LLMs_Vison_GLM4",
+            "\ud83d\uddbc\ufe0f LLMs_Vison_Gemini",
+            "\ud83d\ude00 LLMs_Chat",
+            "\ud83d\ude00 LLMs_Chat_GLM4_Only"
+        ],
+        {
+            "title_aux": "ComfyUI-LLMs"
+        }
+    ],
+    "https://github.com/liangt/comfyui-loadimagewithsubfolder": [
+        [
+            "LoadImageWithSubfolder"
+        ],
+        {
+            "title_aux": "comfyui-loadimagewithsubfolder"
+        }
+    ],
+    "https://github.com/linshier/comfyui-remote-tools": [
+        [
+            "LoadBase64(js)",
+            "LoadBase64FromRemote",
+            "SendBase64ToRemote"
+        ],
+        {
+            "title_aux": "comfyui-remote-tools"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-AutoCropFaces": [
+        [
+            "AutoCropFaces"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoCropFaces"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-B-LoRA": [
+        [
+            "LoadBLoRA"
+        ],
+        {
+            "title_aux": "ComfyUI-B-LoRA"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-Debug": [
+        [
+            "DebugInspectorNode",
+            "DebugModelInspectorNode",
+            "DebugModelPrintOutNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Debug"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-Login": [
+        [
+            "LoadImageIncognito"
+        ],
+        {
+            "title_aux": "ComfyUI-Login"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-SD3-nodes": [
+        [
+            "SD3EmptyLatent",
+            "SD3LoadCLIPs",
+            "SD3LoadCheckpoint"
+        ],
+        {
+            "title_aux": "ComfyUI-SD3-nodes"
+        }
+    ],
+    "https://github.com/ljleb/comfy-mecha": [
+        [
+            "Blocks Mecha Hyper",
+            "Float Mecha Hyper",
+            "Lora Mecha Recipe",
+            "Mecha Deserializer",
+            "Mecha Merger",
+            "Mecha Recipe List",
+            "Mecha Serializer",
+            "Model Mecha Recipe"
+        ],
+        {
+            "title_aux": "Mecha Merge Node Pack"
+        }
+    ],
+    "https://github.com/lks-ai/ComfyUI-StableAudioSampler": [
+        [
+            "StableAudioConditioning",
+            "StableAudioLoadModel",
+            "StableAudioPrompt",
+            "StableAudioSampler"
+        ],
+        {
+            "author": "lks-ai",
+            "description": "A Simple integration of Stable Audio Diffusion with knobs and stuff!",
+            "nickname": "stableaudio",
+            "title": "StableAudioSampler",
+            "title_aux": "ComfyUI Stable Audio Open 1.0 Sampler"
+        }
+    ],
+    "https://github.com/lks-ai/anynode": [
+        [
+            "AnyNode",
+            "AnyNodeAnthropic",
+            "AnyNodeCodeViewer",
+            "AnyNodeExport",
+            "AnyNodeGemini",
+            "AnyNodeLocal"
+        ],
+        {
+            "author": "newsbubbles",
+            "description": "This single node uses an LLM to generate a functionality based on your request. You can make the node do anything.",
+            "nickname": "AnyNode",
+            "title": "AnyNode v0.1.1",
+            "title_aux": "ComfyUI AnyNode: Any Node you ask for"
+        }
+    ],
+    "https://github.com/lldacing/comfyui-easyapi-nodes": [
+        [
+            "Base64ToImage",
+            "Base64ToMask",
+            "ColorPicker",
+            "GetImageBatchSize",
+            "ImageEqual",
+            "ImageToBase64",
+            "ImageToBase64Advanced",
+            "InsightFaceBBOXDetect",
+            "IntToList",
+            "IntToNumber",
+            "JoinList",
+            "ListMerge",
+            "LoadImageFromURL",
+            "LoadImageToBase64",
+            "LoadMaskFromURL",
+            "MaskImageToBase64",
+            "MaskToBase64",
+            "MaskToBase64Image",
+            "SDBaseVerNumber",
+            "SamAutoMaskSEGS",
+            "ShowBoolean",
+            "ShowFloat",
+            "ShowInt",
+            "ShowNumber",
+            "ShowString",
+            "StringToList"
+        ],
+        {
+            "title_aux": "comfyui-easyapi-nodes"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-4DHumans": [
+        [
+            "LoadDetectron",
+            "LoadHMR",
+            "ProcessHumans",
+            "SelectHuman"
+        ],
+        {
+            "title_aux": "ComfyUI-4DHumans"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-FLATTEN": [
+        [
+            "ApplyFlattenAttentionNode",
+            "CreateFlowNoiseNode",
+            "FlattenCheckpointLoaderNode",
+            "KSamplerFlattenNode",
+            "TrajectoryNode",
+            "UnsamplerFlattenNode"
+        ],
+        {
+            "title_aux": "ComfyUI-FLATTEN"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-InstanceDiffusion": [
+        [
+            "ApplyScaleUModelNode",
+            "DownloadInstanceDiffusionModels",
+            "InstanceDiffusionTrackingPrompt",
+            "LoadInstanceFusersNode",
+            "LoadInstancePositionNetModel",
+            "LoadInstanceScaleUNode"
+        ],
+        {
+            "title_aux": "InstanceDiffusion Nodes"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-InversedNoise": [
+        [
+            "CombineNoiseLatentNode",
+            "MixNoiseNode",
+            "SamplerInversedEulerNode"
+        ],
+        {
+            "title_aux": "ComfyUI-InversedNoise"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-MotionThiefExperiment": [
+        [
+            "ApplyRefMotionNode",
+            "MotionRefSettingsCustomNode",
+            "MotionRefSettingsDefaultNode"
+        ],
+        {
+            "title_aux": "ComfyUI-MotionThiefExperiment"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-RAVE_ATTN": [
+        [
+            "ApplyRaveAttentionNode",
+            "AttentionOverrideSD15Node",
+            "AttentionOverrideSDXLNode"
+        ],
+        {
+            "title_aux": "ComfyUI-RAVE Attention"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-ReNoise": [
+        [
+            "ReNoiseModelSamplingPred",
+            "ReNoiseSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-ReNoise"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-RefSampling": [
+        [
+            "ApplyRefContentNode",
+            "ApplyRefStyleNode",
+            "ApplyRefUNetNode"
+        ],
+        {
+            "title_aux": "ComfyUI-RefSampling"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-RefUNet": [
+        [
+            "ConfigRefMapAdv",
+            "ConfigureRefNet",
+            "CreateRefBank",
+            "CustomRefMapSD1",
+            "PrepareRefLatents",
+            "ReadSampler",
+            "RefModelSamplingPred",
+            "VisionClipEncode",
+            "WriteSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-RefUNet"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-SEGAttention": [
+        [
+            "SEGAttention"
+        ],
+        {
+            "title_aux": "ComfyUI-SEGAttention"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-SSREncoder": [
+        [
+            "ApplySSR",
+            "EncodeSSRQuery",
+            "LoadSSRAligner",
+            "LoadSSRAttention"
+        ],
+        {
+            "title_aux": "ComfyUI-SSREncoder"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-SeeCoder": [
+        [
+            "LoadSeeCoder",
+            "LoadSeeCoderUncond",
+            "SeecoderEncode"
+        ],
+        {
+            "title_aux": "ComfyUI-SeeCoder"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-TrackingNodes": [
+        [
+            "OpenPoseTrackerNode",
+            "YOLOTrackerNode"
+        ],
+        {
+            "title_aux": "Tracking Nodes for Videos"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-common-util": [
+        [
+            "Added Layer Info To Array",
+            "Enhanced Random Light Source",
+            "Float Relay",
+            "Image Relay",
+            "Init Layer Info Array",
+            "Int Relay",
+            "Layer Image Seleted",
+            "Layer Images IPAdapter Advanced",
+            "Layer Info Array Fuse",
+            "Mask Relay",
+            "String Relay"
+        ],
+        {
+            "title_aux": "comfyui-common-util"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-llm-assistant": [
+        [
+            "Chat With LLM",
+            "Generate Stable Diffsution Prompt With LLM",
+            "Translate Text With LLM"
+        ],
+        {
+            "title_aux": "comfyui-llm-assistant"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-magic-clothing": [
+        [
+            "Add Magic Clothing Attention",
+            "Change Pipeline Dtype And Device",
+            "Change Pixel Value Normalization",
+            "Diffusers Model Makeup &MC",
+            "Diffusers Scheduler Loader &MC",
+            "Load Magic Clothing Adapter",
+            "Load Magic Clothing Model",
+            "Load Magic Clothing Pipeline",
+            "Load Magic Clothing Pipeline With Path",
+            "RUN Magic Clothing Diffusers Model"
+        ],
+        {
+            "title_aux": "comfyui-magic-clothing"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-mask-util": [
+        [
+            "Image Adaptive Crop M&R",
+            "Image Adaptive Crop With Mask",
+            "Image Change DType",
+            "Image Change Device",
+            "Image Resolution Adaptive With X",
+            "Image Resolution Limit With 8K",
+            "Load Image With Name",
+            "Mask Change DType",
+            "Mask Change Device",
+            "Mask Selection Of Masks",
+            "Model Change Device",
+            "Model Change Device Repeaters",
+            "Output Image To Input",
+            "Split Masks"
+        ],
+        {
+            "title_aux": "comfyui-mask-util"
+        }
+    ],
+    "https://github.com/lordgasmic/ComfyUI-Wildcards/raw/master/wildcards.py": [
+        [
+            "CLIPTextEncodeWithWildcards"
+        ],
+        {
+            "title_aux": "Wildcards"
+        }
+    ],
+    "https://github.com/lordgasmic/comfyui_save_image_with_options": [
+        [
+            "SaveImageWithOptions"
+        ],
+        {
+            "title_aux": "comfyui_save_image_with_options"
+        }
+    ],
+    "https://github.com/lordgasmic/comfyui_wildcards": [
+        [
+            "CLIPTextEncodeWithWildcards"
+        ],
+        {
+            "title_aux": "comfyui_wildcards"
+        }
+    ],
+    "https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch": [
+        [
+            "InpaintCrop",
+            "InpaintExtendOutpaint",
+            "InpaintResize",
+            "InpaintStitch"
+        ],
+        {
+            "title_aux": "ComfyUI-Inpaint-CropAndStitch"
+        }
+    ],
+    "https://github.com/lquesada/ComfyUI-Prompt-Combinator": [
+        [
+            "PromptCombinator",
+            "PromptCombinatorExportGallery",
+            "PromptCombinatorMerger",
+            "PromptCombinatorRandomPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompt-Combinator"
+        }
+    ],
+    "https://github.com/lrzjason/ComfyUIJasonNode/raw/main/SDXLMixSampler.py": [
+        [
+            "SDXLMixSampler"
+        ],
+        {
+            "title_aux": "ComfyUIJasonNode"
+        }
+    ],
+    "https://github.com/lrzjason/Comfyui-Kolors-Utils": [
+        [
+            "SaveKolors",
+            "SaveWeightAsKolorsUnet"
+        ],
+        {
+            "title_aux": "Comfyui Kolors Utils"
+        }
+    ],
+    "https://github.com/ltdrdata/ComfyUI-Impact-Pack": [
+        [
+            "AddMask",
+            "BasicPipeToDetailerPipe",
+            "BasicPipeToDetailerPipeSDXL",
+            "BboxDetectorCombined",
+            "BboxDetectorCombined_v2",
+            "BboxDetectorForEach",
+            "BboxDetectorSEGS",
+            "BitwiseAndMask",
+            "BitwiseAndMaskForEach",
+            "CLIPSegDetectorProvider",
+            "CfgScheduleHookProvider",
+            "CombineRegionalPrompts",
+            "CoreMLDetailerHookProvider",
+            "CustomNoiseDetailerHookProvider",
+            "DenoiseScheduleHookProvider",
+            "DenoiseSchedulerDetailerHookProvider",
+            "DetailerForEach",
+            "DetailerForEachDebug",
+            "DetailerForEachDebugPipe",
+            "DetailerForEachPipe",
+            "DetailerForEachPipeForAnimateDiff",
+            "DetailerHookCombine",
+            "DetailerPipeToBasicPipe",
+            "EditBasicPipe",
+            "EditDetailerPipe",
+            "EditDetailerPipeSDXL",
+            "EmptySegs",
+            "FaceDetailer",
+            "FaceDetailerPipe",
+            "FromBasicPipe",
+            "FromBasicPipe_v2",
+            "FromDetailerPipe",
+            "FromDetailerPipeSDXL",
+            "FromDetailerPipe_v2",
+            "GITSSchedulerFuncProvider",
+            "ImageListToImageBatch",
+            "ImageMaskSwitch",
+            "ImageReceiver",
+            "ImageSender",
+            "ImpactAssembleSEGS",
+            "ImpactCombineConditionings",
+            "ImpactCompare",
+            "ImpactConcatConditionings",
+            "ImpactConditionalBranch",
+            "ImpactConditionalBranchSelMode",
+            "ImpactConditionalStopIteration",
+            "ImpactControlBridge",
+            "ImpactControlNetApplyAdvancedSEGS",
+            "ImpactControlNetApplySEGS",
+            "ImpactControlNetClearSEGS",
+            "ImpactConvertDataType",
+            "ImpactCount_Elts_in_SEGS",
+            "ImpactDecomposeSEGS",
+            "ImpactDilateMask",
+            "ImpactDilateMaskInSEGS",
+            "ImpactDilate_Mask_SEG_ELT",
+            "ImpactDummyInput",
+            "ImpactEdit_SEG_ELT",
+            "ImpactExecutionOrderController",
+            "ImpactFloat",
+            "ImpactFrom_SEG_ELT",
+            "ImpactFrom_SEG_ELT_bbox",
+            "ImpactFrom_SEG_ELT_crop_region",
+            "ImpactGaussianBlurMask",
+            "ImpactGaussianBlurMaskInSEGS",
+            "ImpactHFTransformersClassifierProvider",
+            "ImpactIPAdapterApplySEGS",
+            "ImpactIfNone",
+            "ImpactImageBatchToImageList",
+            "ImpactImageInfo",
+            "ImpactInt",
+            "ImpactInversedSwitch",
+            "ImpactIsNotEmptySEGS",
+            "ImpactKSamplerAdvancedBasicPipe",
+            "ImpactKSamplerBasicPipe",
+            "ImpactLatentInfo",
+            "ImpactLogger",
+            "ImpactLogicalOperators",
+            "ImpactMakeImageBatch",
+            "ImpactMakeImageList",
+            "ImpactMakeTileSEGS",
+            "ImpactMinMax",
+            "ImpactNeg",
+            "ImpactNegativeConditioningPlaceholder",
+            "ImpactNodeSetMuteState",
+            "ImpactQueueTrigger",
+            "ImpactQueueTriggerCountdown",
+            "ImpactRemoteBoolean",
+            "ImpactRemoteInt",
+            "ImpactSEGSClassify",
+            "ImpactSEGSConcat",
+            "ImpactSEGSLabelAssign",
+            "ImpactSEGSLabelFilter",
+            "ImpactSEGSOrderedFilter",
+            "ImpactSEGSPicker",
+            "ImpactSEGSRangeFilter",
+            "ImpactSEGSToMaskBatch",
+            "ImpactSEGSToMaskList",
+            "ImpactScaleBy_BBOX_SEG_ELT",
+            "ImpactSchedulerAdapter",
+            "ImpactSegsAndMask",
+            "ImpactSegsAndMaskForEach",
+            "ImpactSetWidgetValue",
+            "ImpactSimpleDetectorSEGS",
+            "ImpactSimpleDetectorSEGSPipe",
+            "ImpactSimpleDetectorSEGS_for_AD",
+            "ImpactSleep",
+            "ImpactStringSelector",
+            "ImpactSwitch",
+            "ImpactValueReceiver",
+            "ImpactValueSender",
+            "ImpactWildcardEncode",
+            "ImpactWildcardProcessor",
+            "IterativeImageUpscale",
+            "IterativeLatentUpscale",
+            "KSamplerAdvancedProvider",
+            "KSamplerProvider",
+            "LatentPixelScale",
+            "LatentReceiver",
+            "LatentSender",
+            "LatentSwitch",
+            "MMDetDetectorProvider",
+            "MMDetLoader",
+            "MaskDetailerPipe",
+            "MaskListToMaskBatch",
+            "MaskPainter",
+            "MaskToSEGS",
+            "MaskToSEGS_for_AnimateDiff",
+            "MasksToMaskList",
+            "MediaPipeFaceMeshToSEGS",
+            "NoiseInjectionDetailerHookProvider",
+            "NoiseInjectionHookProvider",
+            "ONNXDetectorProvider",
+            "ONNXDetectorSEGS",
+            "PixelKSampleHookCombine",
+            "PixelKSampleUpscalerProvider",
+            "PixelKSampleUpscalerProviderPipe",
+            "PixelTiledKSampleUpscalerProvider",
+            "PixelTiledKSampleUpscalerProviderPipe",
+            "PreviewBridge",
+            "PreviewBridgeLatent",
+            "PreviewDetailerHookProvider",
+            "ReencodeLatent",
+            "ReencodeLatentPipe",
+            "RegionalPrompt",
+            "RegionalSampler",
+            "RegionalSamplerAdvanced",
+            "RemoveImageFromSEGS",
+            "RemoveNoiseMask",
+            "SAMDetectorCombined",
+            "SAMDetectorSegmented",
+            "SAMLoader",
+            "SEGSDetailer",
+            "SEGSDetailerForAnimateDiff",
+            "SEGSLabelFilterDetailerHookProvider",
+            "SEGSOrderedFilterDetailerHookProvider",
+            "SEGSPaste",
+            "SEGSPreview",
+            "SEGSPreviewCNet",
+            "SEGSRangeFilterDetailerHookProvider",
+            "SEGSSwitch",
+            "SEGSToImageList",
+            "SEGSUpscaler",
+            "SEGSUpscalerPipe",
+            "SegmDetectorCombined",
+            "SegmDetectorCombined_v2",
+            "SegmDetectorForEach",
+            "SegmDetectorSEGS",
+            "Segs  Mask",
+            "Segs  Mask ForEach",
+            "SegsMaskCombine",
+            "SegsToCombinedMask",
+            "SetDefaultImageForSEGS",
+            "StepsScheduleHookProvider",
+            "StringListToString",
+            "SubtractMask",
+            "SubtractMaskForEach",
+            "TiledKSamplerProvider",
+            "ToBasicPipe",
+            "ToBinaryMask",
+            "ToDetailerPipe",
+            "ToDetailerPipeSDXL",
+            "TwoAdvancedSamplersForMask",
+            "TwoSamplersForMask",
+            "TwoSamplersForMaskUpscalerProvider",
+            "TwoSamplersForMaskUpscalerProviderPipe",
+            "UltralyticsDetectorProvider",
+            "UnsamplerDetailerHookProvider",
+            "UnsamplerHookProvider",
+            "VariationNoiseDetailerHookProvider",
+            "WildcardPromptFromString"
+        ],
+        {
+            "author": "Dr.Lt.Data",
+            "description": "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler.",
+            "nickname": "Impact Pack",
+            "preemptions": [
+                "SAMLoader"
+            ],
+            "title": "Impact Pack",
+            "title_aux": "ComfyUI Impact Pack"
+        }
+    ],
+    "https://github.com/ltdrdata/ComfyUI-Inspire-Pack": [
+        [
+            "AnimeLineArt_Preprocessor_Provider_for_SEGS //Inspire",
+            "ApplyLBW //Inspire",
+            "ApplyRegionalIPAdapters //Inspire",
+            "BindImageListPromptList //Inspire",
+            "CLIPTextEncodeWithWeight //Inspire",
+            "CacheBackendData //Inspire",
+            "CacheBackendDataList //Inspire",
+            "CacheBackendDataNumberKey //Inspire",
+            "CacheBackendDataNumberKeyList //Inspire",
+            "Canny_Preprocessor_Provider_for_SEGS //Inspire",
+            "ChangeImageBatchSize //Inspire",
+            "ChangeLatentBatchSize //Inspire",
+            "CheckpointLoaderSimpleShared //Inspire",
+            "ColorMapToMasks //Inspire",
+            "ColorMaskToDepthMask //Inspire",
+            "Color_Preprocessor_Provider_for_SEGS //Inspire",
+            "CompositeNoise //Inspire",
+            "ConcatConditioningsWithMultiplier //Inspire",
+            "ConditioningStretch //Inspire",
+            "ConditioningUpscale //Inspire",
+            "DWPreprocessor_Provider_for_SEGS //Inspire",
+            "FakeScribblePreprocessor_Provider_for_SEGS //Inspire",
+            "FloatRange //Inspire",
+            "FromIPAdapterPipe //Inspire",
+            "GlobalSampler //Inspire",
+            "GlobalSeed //Inspire",
+            "HEDPreprocessor_Provider_for_SEGS //Inspire",
+            "HyperTile //Inspire",
+            "IPAdapterModelHelper //Inspire",
+            "ImageBatchSplitter //Inspire",
+            "InpaintPreprocessor_Provider_for_SEGS //Inspire",
+            "KSampler //Inspire",
+            "KSamplerAdvanced //Inspire",
+            "KSamplerAdvancedPipe //Inspire",
+            "KSamplerAdvancedProgress //Inspire",
+            "KSamplerPipe //Inspire",
+            "KSamplerProgress //Inspire",
+            "LatentBatchSplitter //Inspire",
+            "LeRes_DepthMap_Preprocessor_Provider_for_SEGS //Inspire",
+            "LineArt_Preprocessor_Provider_for_SEGS //Inspire",
+            "ListCounter //Inspire",
+            "LoadImage //Inspire",
+            "LoadImageListFromDir //Inspire",
+            "LoadImagesFromDir //Inspire",
+            "LoadLBW //Inspire",
+            "LoadPromptsFromDir //Inspire",
+            "LoadPromptsFromFile //Inspire",
+            "LoadSinglePromptFromFile //Inspire",
+            "LoraBlockInfo //Inspire",
+            "LoraLoaderBlockWeight //Inspire",
+            "MakeBasicPipe //Inspire",
+            "MakeLBW //Inspire",
+            "Manga2Anime_LineArt_Preprocessor_Provider_for_SEGS //Inspire",
+            "MediaPipeFaceMeshDetectorProvider //Inspire",
+            "MediaPipe_FaceMesh_Preprocessor_Provider_for_SEGS //Inspire",
+            "MeshGraphormerDepthMapPreprocessorProvider_for_SEGS //Inspire",
+            "MiDaS_DepthMap_Preprocessor_Provider_for_SEGS //Inspire",
+            "OpenPose_Preprocessor_Provider_for_SEGS //Inspire",
+            "PromptBuilder //Inspire",
+            "PromptExtractor //Inspire",
+            "RGB_HexToHSV //Inspire",
+            "RandomGeneratorForList //Inspire",
+            "RandomNoise //Inspire",
+            "RegionalCFG //Inspire",
+            "RegionalConditioningColorMask //Inspire",
+            "RegionalConditioningSimple //Inspire",
+            "RegionalIPAdapterColorMask //Inspire",
+            "RegionalIPAdapterEncodedColorMask //Inspire",
+            "RegionalIPAdapterEncodedMask //Inspire",
+            "RegionalIPAdapterMask //Inspire",
+            "RegionalPromptColorMask //Inspire",
+            "RegionalPromptSimple //Inspire",
+            "RegionalSeedExplorerColorMask //Inspire",
+            "RegionalSeedExplorerMask //Inspire",
+            "RemoveBackendData //Inspire",
+            "RemoveBackendDataNumberKey //Inspire",
+            "RemoveControlNet //Inspire",
+            "RemoveControlNetFromRegionalPrompts //Inspire",
+            "RetrieveBackendData //Inspire",
+            "RetrieveBackendDataNumberKey //Inspire",
+            "SaveLBW //Inspire",
+            "ScheduledCFGGuider //Inspire",
+            "ScheduledPerpNegCFGGuider //Inspire",
+            "SeedExplorer //Inspire",
+            "SelectNthMask //Inspire",
+            "ShowCachedInfo //Inspire",
+            "StableCascade_CheckpointLoader //Inspire",
+            "TilePreprocessor_Provider_for_SEGS //Inspire",
+            "ToIPAdapterPipe //Inspire",
+            "UnzipPrompt //Inspire",
+            "WildcardEncode //Inspire",
+            "XY Input: Lora Block Weight //Inspire",
+            "ZipPrompt //Inspire",
+            "Zoe_DepthMap_Preprocessor_Provider_for_SEGS //Inspire"
+        ],
+        {
+            "author": "Dr.Lt.Data",
+            "description": "This extension provides various nodes to support Lora Block Weight and the Impact Pack.",
+            "nickname": "Inspire Pack",
+            "nodename_pattern": "Inspire$",
+            "title": "Inspire Pack",
+            "title_aux": "ComfyUI Inspire Pack"
+        }
+    ],
+    "https://github.com/luandev/ComfyUI-CrewAI": [
+        [
+            "\ud83d\udcceCrewAI Agent",
+            "\ud83d\udcceCrewAI Agent List",
+            "\ud83d\udcceCrewAI Crew",
+            "\ud83d\udcceCrewAI LLM Chat GPT",
+            "\ud83d\udcceCrewAI LLM Hugging Face",
+            "\ud83d\udcceCrewAI LLM OpenAI",
+            "\ud83d\udcceCrewAI Task",
+            "\ud83d\udcceCrewAI Task List"
+        ],
+        {
+            "title_aux": "ComfyUI CrewAI"
+        }
+    ],
+    "https://github.com/lucafoscili/comfyui-lf": [
+        [
+            "LF_BlurImages",
+            "LF_CharacterImpersonator",
+            "LF_ControlPanel",
+            "LF_DisplayJSON",
+            "LF_GetRandomKeyFromJSON",
+            "LF_GetValueFromJSON",
+            "LF_ImageClassifier",
+            "LF_ImageHistogram",
+            "LF_ImageResizeByEdge",
+            "LF_LoadImages",
+            "LF_LoadLocalJSON",
+            "LF_Lora2Prompt",
+            "LF_LoraTag2Prompt",
+            "LF_MultipleImageResizeForWeb",
+            "LF_SequentialSeedsGenerator",
+            "LF_Something2Number",
+            "LF_Something2String",
+            "LF_SwitchImage",
+            "LF_SwitchInteger",
+            "LF_SwitchJSON",
+            "LF_SwitchString",
+            "LF_WallOfText",
+            "LF_WorkflowSettings",
+            "LF_WriteJSON"
+        ],
+        {
+            "title_aux": "LF Nodes"
+        }
+    ],
+    "https://github.com/m-sokes/ComfyUI-Sokes-Nodes": [
+        [
+            "Custom Date Format | sokes \ud83e\uddac",
+            "Latent Switch x9 | sokes \ud83e\uddac"
+        ],
+        {
+            "title_aux": "ComfyUI Sokes Nodes"
+        }
+    ],
+    "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes/raw/main/clip-text-encode-split/clip_text_encode_split.py": [
+        [
+            "RawText",
+            "RawTextCombine",
+            "RawTextEncode",
+            "RawTextReplace"
+        ],
+        {
+            "title_aux": "m957ymj75urz/ComfyUI-Custom-Nodes"
+        }
+    ],
+    "https://github.com/maepopi/Diffusers-in-ComfyUI": [
+        [
+            "BLoRALoader",
+            "GenerateImg2Image",
+            "GenerateInpaintImage",
+            "GenerateTxt2Image",
+            "Img2ImgStableDiffusionPipeline",
+            "InpaintingStableDiffusionPipeline",
+            "LoRALoader",
+            "MakeCanny",
+            "Text2ImgStableDiffusionPipeline"
+        ],
+        {
+            "title_aux": "Diffusers-in-ComfyUI"
+        }
+    ],
+    "https://github.com/mape/ComfyUI-mape-Helpers": [
+        [
+            "mape Variable"
+        ],
+        {
+            "author": "mape",
+            "description": "Various QoL improvements like prompt tweaking, variable assignment, image preview, fuzzy search, error reporting, organizing and node navigation.",
+            "nickname": "\ud83d\udfe1 mape's helpers",
+            "title": "mape's helpers",
+            "title_aux": "mape's helpers"
+        }
+    ],
+    "https://github.com/maracman/ComfyUI-SubjectStyle-CSV": [
+        [
+            "CSVPromptProcessor"
+        ],
+        {
+            "title_aux": "ComfyUI-SubjectStyle-CSV"
+        }
+    ],
+    "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer": [
+        [
+            "FluxPromptEnhance"
+        ],
+        {
+            "title_aux": "Flux Prompt Enhance Node for ComfyUI"
+        }
+    ],
+    "https://github.com/marduk191/comfyui-marnodes": [
+        [
+            "marduk191_5_text_string",
+            "marduk191_5way_text_switch",
+            "marduk191_s_random_latent",
+            "marduk191_workflow_settings"
+        ],
+        {
+            "author": "\u02f6marduk191",
+            "description": "marduk191s nodes.",
+            "nickname": "marduk191 workflow settings",
+            "title": "marduk191 workflow settings",
+            "title_aux": "marduk191 workflow settings"
+        }
+    ],
+    "https://github.com/marhensa/sdxl-recommended-res-calc": [
+        [
+            "RecommendedResCalc"
+        ],
+        {
+            "title_aux": "Recommended Resolution Calculator"
+        }
+    ],
+    "https://github.com/markuryy/ComfyUI-Flux-Prompt-Saver": [
+        [
+            "FluxPromptSaver"
+        ],
+        {
+            "title_aux": "ComfyUI Flux Prompt Saver"
+        }
+    ],
+    "https://github.com/martijnat/comfyui-previewlatent": [
+        [
+            "PreviewLatent",
+            "PreviewLatentAdvanced",
+            "PreviewLatentXL"
+        ],
+        {
+            "title_aux": "comfyui-previewlatent"
+        }
+    ],
+    "https://github.com/massao000/ComfyUI_aspect_ratios": [
+        [
+            "Aspect Ratios Node"
+        ],
+        {
+            "title_aux": "ComfyUI_aspect_ratios"
+        }
+    ],
+    "https://github.com/matan1905/ComfyUI-Serving-Toolkit": [
+        [
+            "DiscordServing",
+            "ServingInputImage",
+            "ServingInputImageAsLatent",
+            "ServingInputNumber",
+            "ServingInputText",
+            "ServingMultiImageOutput",
+            "ServingOutput",
+            "ServingTextOutput",
+            "WebSocketServing"
+        ],
+        {
+            "title_aux": "ComfyUI Serving toolkit"
+        }
+    ],
+    "https://github.com/mattjohnpowell/comfyui-lmstudio-image-to-text-node": [
+        [
+            "LM Studio Image To Text",
+            "LM Studio Text Generation"
+        ],
+        {
+            "author": "Matt John Powell",
+            "description": "This extension provides two custom nodes for ComfyUI that integrate LM Studio's capabilities:",
+            "nickname": "LM Studio Nodes",
+            "title": "LM Studio Nodes for ComfyUI",
+            "title_aux": "LM Studio Image to Text Node for ComfyUI"
+        }
+    ],
+    "https://github.com/mav-rik/facerestore_cf": [
+        [
+            "CropFace",
+            "FaceRestoreCFWithModel",
+            "FaceRestoreModelLoader"
+        ],
+        {
+            "title_aux": "Facerestore CF (Code Former)"
+        }
+    ],
+    "https://github.com/mbrostami/ComfyUI-HF": [
+        [
+            "GPT2Node"
+        ],
+        {
+            "title_aux": "ComfyUI-HF"
+        }
+    ],
+    "https://github.com/mbrostami/ComfyUI-TITrain": [
+        [
+            "TextualInversionTraining",
+            "TextualInversionTrainingSDXL"
+        ],
+        {
+            "title_aux": "ComfyUI-TITrain"
+        }
+    ],
+    "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding": [
+        [
+            "DynamicThresholdingFull",
+            "DynamicThresholdingSimple"
+        ],
+        {
+            "title_aux": "Dynamic Thresholding"
+        }
+    ],
+    "https://github.com/meap158/ComfyUI-Background-Replacement": [
+        [
+            "BackgroundReplacement",
+            "ImageComposite"
+        ],
+        {
+            "title_aux": "ComfyUI-Background-Replacement"
+        }
+    ],
+    "https://github.com/meap158/ComfyUI-GPU-temperature-protection": [
+        [
+            "GPUTemperatureProtection"
+        ],
+        {
+            "title_aux": "GPU temperature protection"
+        }
+    ],
+    "https://github.com/meap158/ComfyUI-Prompt-Expansion": [
+        [
+            "PromptExpansion"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompt-Expansion"
+        }
+    ],
+    "https://github.com/melMass/comfy_mtb": [
+        [
+            "Animation Builder (mtb)",
+            "Any To String (mtb)",
+            "Batch Float (mtb)",
+            "Batch Float Assemble (mtb)",
+            "Batch Float Fill (mtb)",
+            "Batch Make (mtb)",
+            "Batch Merge (mtb)",
+            "Batch Shake (mtb)",
+            "Batch Shape (mtb)",
+            "Batch Transform (mtb)",
+            "Bbox (mtb)",
+            "Bbox From Mask (mtb)",
+            "Blur (mtb)",
+            "Color Correct (mtb)",
+            "Colored Image (mtb)",
+            "Concat Images (mtb)",
+            "Crop (mtb)",
+            "Debug (mtb)",
+            "Deep Bump (mtb)",
+            "Export With Ffmpeg (mtb)",
+            "Face Swap (mtb)",
+            "Film Interpolation (mtb)",
+            "Fit Number (mtb)",
+            "Float To Number (mtb)",
+            "Get Batch From History (mtb)",
+            "Image Compare (mtb)",
+            "Image Premultiply (mtb)",
+            "Image Remove Background Rembg (mtb)",
+            "Image Resize Factor (mtb)",
+            "Image Tile Offset (mtb)",
+            "Int To Bool (mtb)",
+            "Int To Number (mtb)",
+            "Interpolate Clip Sequential (mtb)",
+            "Latent Lerp (mtb)",
+            "Load Face Analysis Model (mtb)",
+            "Load Face Enhance Model (mtb)",
+            "Load Face Swap Model (mtb)",
+            "Load Film Model (mtb)",
+            "Load Image From Url (mtb)",
+            "Load Image Sequence (mtb)",
+            "Mask To Image (mtb)",
+            "Math Expression (mtb)",
+            "Model Patch Seamless (mtb)",
+            "Pick From Batch (mtb)",
+            "Qr Code (mtb)",
+            "Restore Face (mtb)",
+            "Save Gif (mtb)",
+            "Save Image Grid (mtb)",
+            "Save Image Sequence (mtb)",
+            "Save Tensors (mtb)",
+            "Sharpen (mtb)",
+            "Smart Step (mtb)",
+            "Stack Images (mtb)",
+            "String Replace (mtb)",
+            "Styles Loader (mtb)",
+            "Text To Image (mtb)",
+            "Transform Image (mtb)",
+            "Uncrop (mtb)",
+            "Unsplash Image (mtb)",
+            "Vae Decode (mtb)"
+        ],
+        {
+            "nodename_pattern": "\\(mtb\\)$",
+            "title_aux": "MTB Nodes"
+        }
+    ],
+    "https://github.com/mephisto83/petty-paint-comfyui-node": [
+        [
+            "PettyImageImageColorToMask",
+            "PettyPaintAppend",
+            "PettyPaintApplyLoRAStack",
+            "PettyPaintBlurs",
+            "PettyPaintComponent",
+            "PettyPaintConditioningSetMaskAndCombine",
+            "PettyPaintConvert",
+            "PettyPaintCountFiles",
+            "PettyPaintEnsureDirectory",
+            "PettyPaintExec",
+            "PettyPaintFakeConvert",
+            "PettyPaintFileExists",
+            "PettyPaintImageColorsToMasks",
+            "PettyPaintImageCompositeMasked",
+            "PettyPaintImageDims",
+            "PettyPaintImageMaskCropper",
+            "PettyPaintImagePlacement",
+            "PettyPaintImageSave",
+            "PettyPaintImageStore",
+            "PettyPaintImageToMask",
+            "PettyPaintImagesToMasks",
+            "PettyPaintJsonMap",
+            "PettyPaintJsonRead",
+            "PettyPaintJsonReadArray",
+            "PettyPaintKSampler",
+            "PettyPaintKSamplerAdvanced",
+            "PettyPaintLoRAStack",
+            "PettyPaintLoadImage",
+            "PettyPaintLoadImageMasks",
+            "PettyPaintLoadImages",
+            "PettyPaintMap",
+            "PettyPaintMasksToImages",
+            "PettyPaintNot",
+            "PettyPaintPassThroughNode",
+            "PettyPaintProcessor",
+            "PettyPaintRemoveAddText",
+            "PettyPaintSDTurboScheduler",
+            "PettyPaintStoryImage",
+            "PettyPaintText",
+            "PettyPaintTexts_to_Conditioning",
+            "PettyPaintToJson",
+            "PettyPaintVAEDecode"
+        ],
+        {
+            "title_aux": "petty-paint-comfyui-node"
+        }
+    ],
+    "https://github.com/meshmesh-io/ComfyUI-MeshMesh": [
+        [
+            "ColorPicker",
+            "MasksToColoredMasks"
+        ],
+        {
+            "title_aux": "ComfyUI-MeshMesh"
+        }
+    ],
+    "https://github.com/meshmesh-io/mm-comfyui-loopback": [
+        [
+            "Loop",
+            "LoopEnd",
+            "LoopEnd_SEGIMAGE",
+            "LoopStart",
+            "LoopStart_SEGIMAGE"
+        ],
+        {
+            "title_aux": "mm-comfyui-loopback"
+        }
+    ],
+    "https://github.com/meshmesh-io/mm-comfyui-megamask": [
+        [
+            "ColorListMaskToImage",
+            "FlattenAndCombineMaskImages"
+        ],
+        {
+            "title_aux": "mm-comfyui-megamask"
+        }
+    ],
+    "https://github.com/metncelik/comfyui_met_suite": [
+        [
+            "BBOXPadding",
+            "BBOXResize",
+            "ImageResizeKeepRatio",
+            "PrimitiveBBOX",
+            "RaiseError"
+        ],
+        {
+            "title_aux": "comfyui_met_suite"
+        }
+    ],
+    "https://github.com/mgfxer/ComfyUI-FrameFX": [
+        [
+            "DynamicAnimatedWeightsHelper",
+            "EdgeFXSourceImages",
+            "FlorencePromptTravelHelper",
+            "LivePromptInterpolation",
+            "MaskSequenceHelper",
+            "PromptStackManager",
+            "PromptTravelHelper"
+        ],
+        {
+            "author": "mgfxer",
+            "description": "This extension provides various frame and mask sequence manipulation tools for animation workflows.",
+            "nickname": "FrameFX \ud83d\udcab",
+            "title": "FrameFX",
+            "title_aux": "ComfyUI-FrameFX"
+        }
+    ],
+    "https://github.com/miaoshouai/ComfyUI-Miaoshouai-Tagger": [
+        [
+            "Miaoshouai_SaveTags",
+            "Miaoshouai_Tagger"
+        ],
+        {
+            "title_aux": "ComfyUI-Miaoshouai-Tagger"
+        }
+    ],
+    "https://github.com/microbote/ComfyUI-StyledCLIPTextEncode": [
+        [
+            "StyledCLIPTextEncode"
+        ],
+        {
+            "title_aux": "StyledCLIPTextEncode"
+        }
+    ],
+    "https://github.com/mihaiiancu/ComfyUI_Inpaint": [
+        [
+            "InpaintMediapipe"
+        ],
+        {
+            "title_aux": "mihaiiancu/Inpaint"
+        }
+    ],
+    "https://github.com/mikebilly/Transparent-background-comfyUI": [
+        [
+            "Transparentbackground RemBg"
+        ],
+        {
+            "title_aux": "Transparent-background-comfyUI"
+        }
+    ],
+    "https://github.com/mikkel/ComfyUI-text-overlay": [
+        [
+            "Image Text Overlay"
+        ],
+        {
+            "title_aux": "ComfyUI - Text Overlay Plugin"
+        }
+    ],
+    "https://github.com/mikkel/comfyui-mask-boundingbox": [
+        [
+            "Mask Bounding Box"
+        ],
+        {
+            "title_aux": "ComfyUI - Mask Bounding Box"
+        }
+    ],
+    "https://github.com/mirabarukaso/ComfyUI_Mira": [
+        [
+            "BooleanListInterpreter1",
+            "BooleanListInterpreter4",
+            "BooleanListInterpreter8",
+            "CanvasCreatorAdvanced",
+            "CanvasCreatorBasic",
+            "CanvasCreatorSimple",
+            "CircleCreator",
+            "CirclesGenerator",
+            "CreateMaskWithCanvas",
+            "CreateNestedPNGMask",
+            "CreateSimpleMask",
+            "CreateTillingPNGMask",
+            "CreateWatermarkRemovalMask",
+            "EightBooleanTrigger",
+            "EightFloats",
+            "EvenOrOdd",
+            "EvenOrOddList",
+            "FloatListInterpreter1",
+            "FloatListInterpreter4",
+            "FloatListInterpreter8",
+            "FloatMultiplication",
+            "FourBooleanTrigger",
+            "FourFloats",
+            "FunctionSwap",
+            "IntMultiplication",
+            "IntSubtraction",
+            "IntToFloatMultiplication",
+            "LoRALoaderWithNameStacker",
+            "LogicNot",
+            "NoneToZero",
+            "NumeralToString",
+            "OneFloat",
+            "PngColorMasksToMaskList",
+            "PngColorMasksToRGB",
+            "PngColorMasksToString",
+            "PngColorMasksToStringList",
+            "PngRectanglesToMask",
+            "PngRectanglesToMaskList",
+            "RandomNestedLayouts",
+            "RandomTillingLayouts",
+            "SN74HC1G86",
+            "SN74HC86",
+            "SN74LVC1G125",
+            "SeedGenerator",
+            "SingleBooleanTrigger",
+            "SixBooleanTrigger",
+            "StepsAndCfg",
+            "TextBox",
+            "TextCombinerSix",
+            "TextCombinerTwo",
+            "TextSwitcherThreeWays",
+            "TextSwitcherTwoWays",
+            "TextWithBooleanSwitchAndCommonTextInput",
+            "TwoBooleanTrigger",
+            "TwoFloats"
+        ],
+        {
+            "title_aux": "ComfyUI_Mira"
+        }
+    ],
+    "https://github.com/misterjoessef/MLTask_ComfyUI": [
+        [
+            "FacebookPosterData",
+            "InstagramPosterData",
+            "LinkedinPosterData",
+            "MLTaskUtilsTextImageGenerator",
+            "PinterestPosterData",
+            "SocialManMediaToPoster",
+            "SocialManPostData",
+            "SocialManPoster",
+            "TiktokPosterData",
+            "TwitterPosterData",
+            "YoutubePosterData"
+        ],
+        {
+            "title_aux": "MLTask_ComfyUI"
+        }
+    ],
+    "https://github.com/mittimi/ComfyUI_mittimiLoadPreset": [
+        [
+            "LoadAndSettingParametersMittimi01",
+            "LoadAndSettingParametersMittimi02",
+            "LoadPresetForSettingParametersMittimi01",
+            "SettingParametersMittimi01"
+        ],
+        {
+            "author": "mittimi",
+            "description": "The system selects and loads presets that have been saved in advance.",
+            "nickname": "mittimiLoadPreset",
+            "title": "mittimiLoadPreset",
+            "title_aux": "ComfyUI_mittimiLoadPreset"
+        }
+    ],
+    "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize": [
+        [
+            "RecalculateSizeMittimi01"
+        ],
+        {
+            "author": "mittimi",
+            "description": "Switch between vertical and horizontal values with a single button.",
+            "nickname": "mittimiWidthHeight",
+            "title": "mittimiWidthHeight",
+            "title_aux": "ComfyUI_mittimiRecalculateSize"
+        }
+    ],
+    "https://github.com/mittimi/ComfyUI_mittimiWidthHeight": [
+        [
+            "WidthHeightMittimi01"
+        ],
+        {
+            "author": "mittimi",
+            "description": "Switch between vertical and horizontal values with a single button.",
+            "nickname": "mittimiWidthHeight",
+            "title": "mittimiWidthHeight",
+            "title_aux": "ComfyUI_mittimiWidthHeight"
+        }
+    ],
+    "https://github.com/modelscope/comfyscope": [
+        [
+            "DashScopeFLUXAPI"
+        ],
+        {
+            "title_aux": "Dashscope FLUX API for ComfyUI"
+        }
+    ],
+    "https://github.com/modusCell/ComfyUI-dimension-node-modusCell": [
+        [
+            "DimensionProviderFree modusCell",
+            "DimensionProviderRatio modusCell",
+            "String Concat modusCell"
+        ],
+        {
+            "title_aux": "Preset Dimensions"
+        }
+    ],
+    "https://github.com/moyi7712/ComfyUI_Seamless_Patten": [
+        [
+            "SeamlessApply",
+            "SeamlessKSampler",
+            "SeamlessKSamplerAdvanced",
+            "SeamlessVae"
+        ],
+        {
+            "title_aux": "ComfyUI_Seamless_Patten"
+        }
+    ],
+    "https://github.com/mpiquero7164/ComfyUI-SaveImgPrompt": [
+        [
+            "Save IMG Prompt"
+        ],
+        {
+            "title_aux": "SaveImgPrompt"
+        }
+    ],
+    "https://github.com/mullakhmetov/comfyui_dynamic_util_nodes": [
+        [
+            "ConcatStrings",
+            "FormatString",
+            "GetFiles",
+            "LoadImageByPath",
+            "StringOutput"
+        ],
+        {
+            "title_aux": "comfyui_dynamic_util_nodes"
+        }
+    ],
+    "https://github.com/muzi12888/ComfyUI-PoseKeypoint-Mask": [
+        [
+            "Image Brightness",
+            "Openpose Keypoint Mask"
+        ],
+        {
+            "title_aux": "PoseKeypoint Mask"
+        }
+    ],
+    "https://github.com/my-opencode/ComfyUI_IndustrialMagick": [
+        [
+            "IndustrialMagick",
+            "IndustrialMagickImageIngest"
+        ],
+        {
+            "title_aux": "ComfyUI_IndustrialMagick"
+        }
+    ],
+    "https://github.com/my-opencode/ComfyUI_KSamplerTimer": [
+        [
+            "KSamplerTimer"
+        ],
+        {
+            "author": "Ludovic Anterieur",
+            "description": "This extension provides a wrapper of the native KSampler which outputs generation time.",
+            "nickname": "\u23f1",
+            "title": "KSampler (timer)",
+            "title_aux": "ComfyUI_KSamplerTimer"
+        }
+    ],
+    "https://github.com/nagolinc/ComfyUI_FastVAEDecorder_SDXL": [
+        [
+            "FastLatentToImage"
+        ],
+        {
+            "title_aux": "ComfyUI_FastVAEDecorder_SDXL"
+        }
+    ],
+    "https://github.com/nagolinc/comfyui_openai_node": [
+        [
+            "OpenAINode"
+        ],
+        {
+            "title_aux": "comfyui_openai_node"
+        }
+    ],
+    "https://github.com/natto-maki/ComfyUI-NegiTools": [
+        [
+            "NegiTools_CompositeImages",
+            "NegiTools_DepthEstimationByMarigold",
+            "NegiTools_DetectFaceRotationForInpainting",
+            "NegiTools_ImageProperties",
+            "NegiTools_LatentProperties",
+            "NegiTools_NoiseImageGenerator",
+            "NegiTools_OpenAiDalle3",
+            "NegiTools_OpenAiGpt",
+            "NegiTools_OpenAiGpt4v",
+            "NegiTools_OpenAiTranslate",
+            "NegiTools_OpenPoseToPointList",
+            "NegiTools_PointListToMask",
+            "NegiTools_RandomImageLoader",
+            "NegiTools_SaveImageToDirectory",
+            "NegiTools_SeedGenerator",
+            "NegiTools_StereoImageGenerator",
+            "NegiTools_StringFunction"
+        ],
+        {
+            "title_aux": "ComfyUI-NegiTools"
+        }
+    ],
+    "https://github.com/neverbiasu/ComfyUI-Image-Captioner": [
+        [
+            "ImageCaptioner"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Captioner"
+        }
+    ],
+    "https://github.com/neverbiasu/ComfyUI-SAM2": [
+        [
+            "GroundingDinoModelLoader (segment anything)",
+            "GroundingDinoSAMSegment (segment anything)",
+            "InvertMask (segment anything)",
+            "IsMaskEmpty",
+            "SAM2ModelLoader (segment anything)"
+        ],
+        {
+            "title_aux": "ComfyUI SAM2(Segment Anything 2)"
+        }
+    ],
+    "https://github.com/neverbiasu/ComfyUI-StyleShot": [
+        [
+            "StyleShotApply"
+        ],
+        {
+            "title_aux": "ComfyUI-StyleShot"
+        }
+    ],
+    "https://github.com/nicehero/comfyui-SegGPT": [
+        [
+            "SegGPT"
+        ],
+        {
+            "title_aux": "comfyui-SegGPT"
+        }
+    ],
+    "https://github.com/nickve28/ComfyUI-Nich-Utils": [
+        [
+            "Image from Dir Selector (Nich)",
+            "Select Text with Regular Expression (Nich)"
+        ],
+        {
+            "title_aux": "ComfyUI Nich Utils"
+        }
+    ],
+    "https://github.com/nicolai256/comfyUI_Nodes_nicolai256/raw/main/yugioh-presets.py": [
+        [
+            "yugioh_Presets"
+        ],
+        {
+            "title_aux": "comfyUI_Nodes_nicolai256"
+        }
+    ],
+    "https://github.com/ningxiaoxiao/comfyui-NDI": [
+        [
+            "NDI_LoadImage",
+            "NDI_SendImage"
+        ],
+        {
+            "title_aux": "comfyui-NDI"
+        }
+    ],
+    "https://github.com/nirbhay-faaya/ImgProcessing_ComfyUI": [
+        [
+            "ImageConcat",
+            "ImageCropMultEight",
+            "ImageCut",
+            "LightingPreprocessor"
+        ],
+        {
+            "title_aux": "ImgProcessing_ComfyUI"
+        }
+    ],
+    "https://github.com/nirex0/ComfyUI_pytorch_openpose": [
+        [
+            "pytorch_openpose"
+        ],
+        {
+            "title_aux": "ComfyUI_pytorch_openpose"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-Dart": [
+        [
+            "DanbooruTagsTransformerBanTagsFromRegex",
+            "DanbooruTagsTransformerComposePrompt",
+            "DanbooruTagsTransformerComposePromptV2",
+            "DanbooruTagsTransformerDecode",
+            "DanbooruTagsTransformerDecodeBySplitedParts",
+            "DanbooruTagsTransformerGenerate",
+            "DanbooruTagsTransformerGenerateAdvanced",
+            "DanbooruTagsTransformerGenerationConfig",
+            "DanbooruTagsTransformerGetAspectRatio",
+            "DanbooruTagsTransformerLoader",
+            "DanbooruTagsTransformerRearrangedByAnimagine",
+            "DanbooruTagsTransformerRemoveTagToken"
+        ],
+        {
+            "title_aux": "ComfyUI-Dart"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-PromptUtilities": [
+        [
+            "PromptUtilitiesConstString",
+            "PromptUtilitiesConstStringMultiLine",
+            "PromptUtilitiesFormatString",
+            "PromptUtilitiesJoinStringList",
+            "PromptUtilitiesLoadPreset",
+            "PromptUtilitiesLoadPresetAdvanced",
+            "PromptUtilitiesPromptWeight",
+            "PromptUtilitiesRandomPreset",
+            "PromptUtilitiesRandomPresetAdvanced",
+            "PromptUtilitiesReplaceOrInsertTag",
+            "PromptUtilitiesRoundPromptWeight"
+        ],
+        {
+            "title_aux": "ComfyUI-PromptUtilities"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData": [
+        [
+            "CreateExtraMetaData",
+            "SaveImageWithMetaData"
+        ],
+        {
+            "title_aux": "ComfyUI-SaveImageWithMetaData"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-SizeFromPresets": [
+        [
+            "EmptyLatentImageFromPresetsSD15",
+            "EmptyLatentImageFromPresetsSDXL",
+            "GetSimilarResolution",
+            "GetSimilarResolutionEmptyLatent",
+            "RandomEmptyLatentImageFromPresetsSD15",
+            "RandomEmptyLatentImageFromPresetsSDXL",
+            "RandomSizeFromPresetsSD15",
+            "RandomSizeFromPresetsSDXL",
+            "SizeFromPresetsSD15",
+            "SizeFromPresetsSDXL"
+        ],
+        {
+            "title_aux": "ComfyUI-SizeFromPresets"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-TextOnSegs": [
+        [
+            "CalcMaxFontSize",
+            "ExtractDominantColor",
+            "GetComplementaryColor",
+            "SegsToRegion",
+            "TextOnSegsFloodFill"
+        ],
+        {
+            "title_aux": "ComfyUI-TextOnSegs"
+        }
+    ],
+    "https://github.com/noarche/sd-webui-color-enhance": [
+        [
+            "MMakerColorBlend",
+            "MMakerColorEnhance"
+        ],
+        {
+            "title_aux": "noarche/Color Enhance"
+        }
+    ],
+    "https://github.com/noembryo/ComfyUI-noEmbryo": [
+        [
+            "PromptTermList1",
+            "PromptTermList2",
+            "PromptTermList3",
+            "PromptTermList4",
+            "PromptTermList5",
+            "PromptTermList6"
+        ],
+        {
+            "author": "noEmbryo",
+            "description": "Some useful nodes for ComfyUI",
+            "nickname": "noEmbryo",
+            "title": "noEmbryo nodes",
+            "title_aux": "noEmbryo nodes"
+        }
+    ],
+    "https://github.com/nosiu/comfyui-instantId-faceswap": [
+        [
+            "FaceEmbed",
+            "FaceSwapGenerationInpaint",
+            "FaceSwapSetupPipeline",
+            "LCMLora"
+        ],
+        {
+            "title_aux": "ComfyUI InstantID Faceswapper"
+        }
+    ],
+    "https://github.com/noxinias/ComfyUI_NoxinNodes": [
+        [
+            "NoxinChime",
+            "NoxinPromptLoad",
+            "NoxinPromptSave",
+            "NoxinScaledResolution",
+            "NoxinSimpleMath",
+            "NoxinSplitPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI_NoxinNodes"
+        }
+    ],
+    "https://github.com/ntc-ai/ComfyUI-DARE-LoRA-Merge": [
+        [
+            "Apply LoRA",
+            "DARE Merge LoRA Stack",
+            "Save LoRA"
+        ],
+        {
+            "title_aux": "ComfyUI - Apply LoRA Stacker with DARE"
+        }
+    ],
+    "https://github.com/ntdviet/comfyui-ext/raw/main/custom_nodes/gcLatentTunnel/gcLatentTunnel.py": [
+        [
+            "gcLatentTunnel"
+        ],
+        {
+            "title_aux": "ntdviet/comfyui-ext"
+        }
+    ],
+    "https://github.com/nuanarchy/ComfyUI-NuA-BIRD": [
+        [
+            "Bird_Deblurring_NuA",
+            "Bird_Denoising_NuA",
+            "Bird_Inpainting_NuA",
+            "Bird_Loader_NuA",
+            "Bird_Non_Uniform_Deblurring_NuA",
+            "Bird_Super_Resolution_NuA"
+        ],
+        {
+            "title_aux": "ComfyUI-NuA-BIRD"
+        }
+    ],
+    "https://github.com/nuanarchy/ComfyUI-NuA-FlashFace": [
+        [
+            "FlashFace_Loader_NuA",
+            "FlashFace_Sampler_NuA"
+        ],
+        {
+            "title_aux": "ComfyUI-NuA-FlashFace"
+        }
+    ],
+    "https://github.com/nullquant/ComfyUI-BrushNet": [
+        [
+            "BlendInpaint",
+            "BrushNet",
+            "BrushNetLoader",
+            "CutForInpaint",
+            "PowerPaint",
+            "PowerPaintCLIPLoader",
+            "RAUNet",
+            "Terminal"
+        ],
+        {
+            "author": "nullquant",
+            "description": "These are custom nodes for ComfyUI native implementation of BrushNet, PowerPaint and RAUNet models",
+            "nickname": "BrushName nodes",
+            "title": "BrushNet",
+            "title_aux": "BrushNet"
+        }
+    ],
+    "https://github.com/nux1111/ComfyUI_NetDist_Plus": [
+        [
+            "CombineImageBatch",
+            "ConditioningFromBase64(Nux)",
+            "ConditioningToBase64(Nux)",
+            "ExtractBase64FromImage(Nux)",
+            "ExtractBase64FromImageUpload(Nux)",
+            "FetchRemote",
+            "FetchRemoteWithExtras(Nux)",
+            "LatentToBase64(Nux)",
+            "LoadCurrentWorkflowJSON",
+            "LoadDiskWorkflowJSON",
+            "LoadImageUrl",
+            "LoadLatentFromBase64(Nux)",
+            "LoadLatentNumpy",
+            "LoadLatentUrl",
+            "LoadWorkflowJSON",
+            "RemoteApplyValues(Nux)",
+            "RemoteApplyValuesMulti(Nux)",
+            "RemoteChainEnd",
+            "RemoteChainStart",
+            "RemoteChainStart(Nux)",
+            "RemoteQueueSimple",
+            "RemoteQueueSimple(Nux)",
+            "RemoteQueueWorker",
+            "SaveDiskWorkflowJSON",
+            "SaveImageUrl",
+            "SaveImageWithBase64(Nux)",
+            "SaveLatentNumpy"
+        ],
+        {
+            "title_aux": "ComfyUI_NetDist_Plus"
+        }
+    ],
+    "https://github.com/okgo4/ComfyUI-Mosaic-Mask": [
+        [
+            "MosaicMask"
+        ],
+        {
+            "title_aux": "ComfyUI-Mosaic-Mask"
+        }
+    ],
+    "https://github.com/olduvai-jp/ComfyUI-HfLoader": [
+        [
+            "Lora Loader From HF"
+        ],
+        {
+            "title_aux": "ComfyUI-HfLoader"
+        }
+    ],
+    "https://github.com/oleksandr612/ComfyUI-Counter": [
+        [
+            "Simple Counter"
+        ],
+        {
+            "title_aux": "ComfyUI-Counter"
+        }
+    ],
+    "https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92": [
+        [
+            "CLIPStringEncode _O",
+            "Chat completion _O",
+            "ChatGPT Simple _O",
+            "ChatGPT _O",
+            "ChatGPT compact _O",
+            "Chat_Completion _O",
+            "Chat_Message _O",
+            "Chat_Message_fromString _O",
+            "Concat Text _O",
+            "ConcatRandomNSP_O",
+            "Debug String _O",
+            "Debug Text _O",
+            "Debug Text route _O",
+            "Edit_image _O",
+            "Equation1param _O",
+            "Equation2params _O",
+            "GetImage_(Width&Height) _O",
+            "GetLatent_(Width&Height) _O",
+            "ImageScaleFactor _O",
+            "ImageScaleFactorSimple _O",
+            "LatentUpscaleFactor _O",
+            "LatentUpscaleFactorSimple _O",
+            "LatentUpscaleMultiply",
+            "Note _O",
+            "RandomNSP _O",
+            "Replace Text _O",
+            "String _O",
+            "Text _O",
+            "Text2Image _O",
+            "Trim Text _O",
+            "VAEDecodeParallel _O",
+            "combine_chat_messages _O",
+            "compine_chat_messages _O",
+            "concat Strings _O",
+            "create image _O",
+            "create_image _O",
+            "debug Completeion _O",
+            "debug messages_O",
+            "float _O",
+            "floatToInt _O",
+            "floatToText _O",
+            "int _O",
+            "intToFloat _O",
+            "load_openAI _O",
+            "replace String _O",
+            "replace String advanced _O",
+            "saveTextToFile _O",
+            "seed _O",
+            "selectLatentFromBatch _O",
+            "string2Image _O",
+            "trim String _O",
+            "variation_image _O"
+        ],
+        {
+            "title_aux": "Quality of life Suit:V2"
+        }
+    ],
+    "https://github.com/opvelll/ComfyUI_TextListProduct": [
+        [
+            "ProductedString",
+            "TextListProduct",
+            "TextListProductWithSingleA",
+            "TextListProductWithSingleB",
+            "TextListProductWithSingleBoth"
+        ],
+        {
+            "title_aux": "Comfy UI Text List Product"
+        }
+    ],
+    "https://github.com/osi1880vr/prompt_quill_comfyui": [
+        [
+            "PromptQuillGenerate",
+            "PromptQuillGenerateConditioning",
+            "PromptQuillSail",
+            "PromptQuillSailConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI_Prompt-Quill"
+        }
+    ],
+    "https://github.com/ostris/ostris_nodes_comfyui": [
+        [
+            "LLM Pipe Loader - Ostris",
+            "LLM Prompt Upsampling - Ostris",
+            "One Seed - Ostris",
+            "Text Box - Ostris"
+        ],
+        {
+            "nodename_pattern": "- Ostris$",
+            "title_aux": "Ostris Nodes ComfyUI"
+        }
+    ],
+    "https://github.com/ownimage/ComfyUI-ownimage": [
+        [
+            "Caching Image Loader"
+        ],
+        {
+            "title_aux": "ComfyUI-ownimage"
+        }
+    ],
+    "https://github.com/oyvindg/ComfyUI-TrollSuite": [
+        [
+            "BinaryImageMask",
+            "ImagePadding",
+            "LoadLastImage",
+            "RandomMask",
+            "TransparentImage"
+        ],
+        {
+            "title_aux": "ComfyUI-TrollSuite"
+        }
+    ],
+    "https://github.com/oztrkoguz/ComfyUI_StoryCreator": [
+        [
+            "Kosmos2SamplerSimple2",
+            "KosmosLoader2",
+            "StoryLoader",
+            "StorySamplerSimple",
+            "Write2"
+        ],
+        {
+            "title_aux": "ComfyUI StoryCreater"
+        }
+    ],
+    "https://github.com/palant/extended-saveimage-comfyui": [
+        [
+            "SaveImageExtended"
+        ],
+        {
+            "title_aux": "Extended Save Image for ComfyUI"
+        }
+    ],
+    "https://github.com/palant/image-resize-comfyui": [
+        [
+            "ImageResize"
+        ],
+        {
+            "title_aux": "Image Resize for ComfyUI"
+        }
+    ],
+    "https://github.com/pamparamm/ComfyUI-ppm": [
+        [
+            "AttentionCouplePPM",
+            "CFGLimiterGuider",
+            "CFGPPSamplerSelect",
+            "CLIPMicroConditioning",
+            "CLIPNegPip",
+            "CLIPTextEncodeBREAK",
+            "CLIPTokenCounter",
+            "DynSamplerSelect",
+            "EmptyLatentImageAR",
+            "EmptyLatentImageARAdvanced",
+            "Guidance Limiter",
+            "LatentToMaskBB",
+            "LatentToWidthHeight",
+            "RandomPromptGenerator",
+            "StableCascade_AutoCompLatent"
+        ],
+        {
+            "title_aux": "ComfyUI-ppm"
+        }
+    ],
+    "https://github.com/pamparamm/ComfyUI-vectorscope-cc": [
+        [
+            "DiffusionCG",
+            "NormalizeLatent",
+            "VectorscopeCC"
+        ],
+        {
+            "title_aux": "ComfyUI Vectorscope CC"
+        }
+    ],
+    "https://github.com/pamparamm/sd-perturbed-attention": [
+        [
+            "PerturbedAttention",
+            "SmoothedEnergyGuidanceAdvanced",
+            "TRTAttachPag",
+            "TRTPerturbedAttention"
+        ],
+        {
+            "title_aux": "Perturbed-Attention Guidance"
+        }
+    ],
+    "https://github.com/pants007/comfy-pants": [
+        [
+            "CLIPTextEncodeAIO",
+            "Image Make Square"
+        ],
+        {
+            "title_aux": "pants"
+        }
+    ],
+    "https://github.com/patriciogonzalezvivo/comfyui_glslnodes": [
+        [
+            "float",
+            "glslBuffers",
+            "glslEditor",
+            "glslEditorPro",
+            "glslUniforms",
+            "glslViewer",
+            "int",
+            "vec2",
+            "vec2 (pos)",
+            "vec3",
+            "vec3 (pos)",
+            "vec4",
+            "vec4 (color)"
+        ],
+        {
+            "author": "Patricio Gonzalez Vivo",
+            "description": "A set of nodes to work with GLSL shaders",
+            "nickname": "GLSL Nodes",
+            "title": "GLSL Nodes",
+            "title_aux": "GLSL Nodes"
+        }
+    ],
+    "https://github.com/paulo-coronado/comfy_clip_blip_node": [
+        [
+            "CLIPTextEncodeBLIP",
+            "CLIPTextEncodeBLIP-2",
+            "Example"
+        ],
+        {
+            "title_aux": "comfy_clip_blip_node"
+        }
+    ],
+    "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH": [
+        [
+            "MultiObjectMask"
+        ],
+        {
+            "title_aux": "ComfyUI-LyraVSIH"
+        }
+    ],
+    "https://github.com/philz1337x/ComfyUI-ClarityAI": [
+        [
+            "Clarity AI Upscaler"
+        ],
+        {
+            "title_aux": "\u2728 Clarity AI - Creative Image Upscaler and Enhancer for ComfyUI"
+        }
+    ],
+    "https://github.com/phyblas/paint-by-example_comfyui": [
+        [
+            "PaintbyExampleAdvanced",
+            "PaintbyExampleGen",
+            "PaintbyExampleSimple",
+            "PaintbyIchimatsu",
+            "PaintbySingleColor"
+        ],
+        {
+            "title_aux": "paint-by-example @ ComfyUI"
+        }
+    ],
+    "https://github.com/picturesonpictures/comfy_PoP": [
+        [
+            "AdaptiveCannyDetector_PoP",
+            "AnyAspectRatio",
+            "ConditioningMultiplier_PoP",
+            "ConditioningNormalizer_PoP",
+            "DallE3_PoP",
+            "EfficientAttention",
+            "LoadImageResizer_PoP",
+            "LoraStackLoader10_PoP",
+            "LoraStackLoader_PoP",
+            "VAEDecoderPoP",
+            "VAEEncoderPoP"
+        ],
+        {
+            "title_aux": "comfy_PoP"
+        }
+    ],
+    "https://github.com/pikenrover/ComfyUI_PRNodes": [
+        [
+            "CheckpointLoaderSimpleExtended",
+            "EmptyLatentImageScaleBy",
+            "ImageScaleTo",
+            "LoadRandomImage",
+            "LoraLoaderExtended",
+            "RandomPrompt",
+            "RandomPromptMixed",
+            "Save Image w/Metadata"
+        ],
+        {
+            "title_aux": "ComfyUI_PRNodes"
+        }
+    ],
+    "https://github.com/pkpkTech/ComfyUI-SaveAVIF": [
+        [
+            "SaveAvif"
+        ],
+        {
+            "title_aux": "ComfyUI-SaveAVIF"
+        }
+    ],
+    "https://github.com/pkpkTech/ComfyUI-TemporaryLoader": [
+        [
+            "LoadTempCheckpoint",
+            "LoadTempLoRA",
+            "LoadTempMultiLoRA"
+        ],
+        {
+            "title_aux": "ComfyUI-TemporaryLoader"
+        }
+    ],
+    "https://github.com/portu-sim/comfyui_bmab": [
+        [
+            "BMAB Alpha Composit",
+            "BMAB Basic",
+            "BMAB Black And White",
+            "BMAB Blend",
+            "BMAB Clip Text Encoder SDXL",
+            "BMAB Conditioning To Bind",
+            "BMAB Context",
+            "BMAB ControlNet",
+            "BMAB ControlNet IPAdapter",
+            "BMAB ControlNet Openpose",
+            "BMAB Crop",
+            "BMAB Detail Anything",
+            "BMAB Detect And Mask",
+            "BMAB Detect And Paste",
+            "BMAB Detection Crop",
+            "BMAB Detector",
+            "BMAB Edge",
+            "BMAB Extractor",
+            "BMAB Face Detailer",
+            "BMAB Flux ControlNet",
+            "BMAB Flux Integrator",
+            "BMAB Google Gemini Prompt",
+            "BMAB Import Integrator",
+            "BMAB Integrator",
+            "BMAB KSampler",
+            "BMAB KSamplerHiresFix",
+            "BMAB KSamplerHiresFixWithUpscaler",
+            "BMAB KSamplerKohyaDeepShrink",
+            "BMAB Lama Inpaint",
+            "BMAB LoRA Loader",
+            "BMAB Load Image",
+            "BMAB Load Output Image",
+            "BMAB Masks To Images",
+            "BMAB Model To Bind",
+            "BMAB Noise Generator",
+            "BMAB Openpose Hand Detailer",
+            "BMAB Person Detailer",
+            "BMAB Preview Text",
+            "BMAB Prompt",
+            "BMAB Remote Access And Save",
+            "BMAB Remove Background",
+            "BMAB Resize By Person",
+            "BMAB Resize By Ratio",
+            "BMAB Resize and Fill",
+            "BMAB SD-WebUI API BMAB Extension",
+            "BMAB SD-WebUI API ControlNet",
+            "BMAB SD-WebUI API I2I",
+            "BMAB SD-WebUI API Server",
+            "BMAB SD-WebUI API T2I",
+            "BMAB SD-WebUI API T2I Hires.Fix",
+            "BMAB Save Image",
+            "BMAB SeedGenerator",
+            "BMAB Segment Anything",
+            "BMAB Simple Hand Detailer",
+            "BMAB Square",
+            "BMAB Subframe Hand Detailer",
+            "BMAB Text",
+            "BMAB Upscale With Model",
+            "BMAB Upscaler",
+            "BMAB Watermark",
+            "BMAB Zoom Out"
+        ],
+        {
+            "title_aux": "comfyui_bmab"
+        }
+    ],
+    "https://github.com/prodogape/ComfyUI-EasyOCR": [
+        [
+            "Apply EasyOCR"
+        ],
+        {
+            "title_aux": "ComfyUI-EasyOCR"
+        }
+    ],
+    "https://github.com/prodogape/ComfyUI-Minio": [
+        [
+            "Load Image From Minio",
+            "Save Image To Minio",
+            "Set Minio Config"
+        ],
+        {
+            "title_aux": "Comfyui-Minio"
+        }
+    ],
+    "https://github.com/prodogape/ComfyUI-OmDet": [
+        [
+            "Apply OmDet"
+        ],
+        {
+            "title_aux": "ComfyUI-OmDet"
+        }
+    ],
+    "https://github.com/prodogape/Comfyui-Yolov8-JSON": [
+        [
+            "Apply Yolov8 Model",
+            "Apply Yolov8 Model Seg",
+            "Draw Labelme Json",
+            "Load Yolov8 Model",
+            "Load Yolov8 Model From Path",
+            "Save Labelme Json"
+        ],
+        {
+            "title_aux": "Comfyui-Yolov8-JSON"
+        }
+    ],
+    "https://github.com/pythongosssss/ComfyUI-Custom-Scripts": [
+        [
+            "CheckpointLoader|pysssss",
+            "ConstrainImageforVideo|pysssss",
+            "ConstrainImage|pysssss",
+            "LoadText|pysssss",
+            "LoraLoader|pysssss",
+            "MathExpression|pysssss",
+            "MultiPrimitive|pysssss",
+            "PlaySound|pysssss",
+            "Repeater|pysssss",
+            "ReroutePrimitive|pysssss",
+            "SaveText|pysssss",
+            "ShowText|pysssss",
+            "StringFunction|pysssss",
+            "SystemNotification|pysssss"
+        ],
+        {
+            "title_aux": "pythongosssss/ComfyUI-Custom-Scripts"
+        }
+    ],
+    "https://github.com/pythongosssss/ComfyUI-WD14-Tagger": [
+        [
+            "WD14Tagger|pysssss"
+        ],
+        {
+            "title_aux": "ComfyUI WD 1.4 Tagger"
+        }
+    ],
+    "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator": [
+        [
+            "Prompt_Generator",
+            "Save_Prompts"
+        ],
+        {
+            "title_aux": "Comfyui_MiniCPMv2_6-prompt-generator"
+        }
+    ],
+    "https://github.com/qwixiwp/queuetools": [
+        [
+            "load images (queue tools)"
+        ],
+        {
+            "title_aux": "queuetools"
+        }
+    ],
+    "https://github.com/ramyma/A8R8_ComfyUI_nodes": [
+        [
+            "AttentionCouple",
+            "AttentionCoupleRegion",
+            "AttentionCoupleRegions",
+            "Base64ImageInput",
+            "Base64ImageOutput"
+        ],
+        {
+            "title_aux": "A8R8 ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/randjtw/advance-aesthetic-score": [
+        [
+            "Adv_Scoring"
+        ],
+        {
+            "title_aux": "advance-aesthetic-score"
+        }
+    ],
+    "https://github.com/ratulrafsan/Comfyui-SAL-VTON": [
+        [
+            "SALVTON_Apply",
+            "SV_random"
+        ],
+        {
+            "title_aux": "Comfyui-SAL-VTON"
+        }
+    ],
+    "https://github.com/rcfcu2000/zhihuige-nodes-comfyui": [
+        [
+            "Combine ZHGMasks",
+            "Cover ZHGMasks",
+            "From ZHG pip",
+            "GroundingDinoModelLoader (zhihuige)",
+            "GroundingDinoPIPESegment (zhihuige)",
+            "GroundingDinoSAMSegment (zhihuige)",
+            "InvertMask (zhihuige)",
+            "SAMModelLoader (zhihuige)",
+            "To ZHG pip",
+            "ZHG FaceIndex",
+            "ZHG GetMaskArea",
+            "ZHG Image Levels",
+            "ZHG SaveImage",
+            "ZHG SmoothEdge",
+            "ZHG UltimateSDUpscale"
+        ],
+        {
+            "title_aux": "zhihuige-nodes-comfyui"
+        }
+    ],
+    "https://github.com/rcsaquino/comfyui-custom-nodes": [
+        [
+            "BackgroundRemover | rcsaquino",
+            "VAELoader | rcsaquino",
+            "VAEProcessor | rcsaquino"
+        ],
+        {
+            "title_aux": "rcsaquino/comfyui-custom-nodes"
+        }
+    ],
+    "https://github.com/receyuki/comfyui-prompt-reader-node": [
+        [
+            "SDAnyConverter",
+            "SDBatchLoader",
+            "SDLoraLoader",
+            "SDLoraSelector",
+            "SDParameterExtractor",
+            "SDParameterGenerator",
+            "SDPromptMerger",
+            "SDPromptReader",
+            "SDPromptSaver",
+            "SDTypeConverter"
+        ],
+        {
+            "author": "receyuki",
+            "description": "The ultimate solution for managing image metadata and multi-tool compatibility. ComfyUI node version of the SD Prompt Reader",
+            "nickname": "SD Prompt Reader",
+            "title": "SD Prompt Reader",
+            "title_aux": "SD Prompt Reader"
+        }
+    ],
+    "https://github.com/redhottensors/ComfyUI-Prediction": [
+        [
+            "AvoidErasePrediction",
+            "CFGPrediction",
+            "CharacteristicGuidancePrediction",
+            "CombinePredictions",
+            "ConditionedPrediction",
+            "EarlyMiddleLatePrediction",
+            "InterpolatePredictions",
+            "LogSigmas",
+            "PerpNegPrediction",
+            "SamplerCustomPrediction",
+            "ScalePrediction",
+            "ScaledGuidancePrediction",
+            "SelectSigmas",
+            "SplitAtSigma",
+            "SwitchPredictions"
+        ],
+        {
+            "author": "RedHotTensors",
+            "description": "Fully customizable Classifer Free Guidance for ComfyUI",
+            "nickname": "ComfyUI-Prediction",
+            "title": "ComfyUI-Prediction",
+            "title_aux": "ComfyUI-Prediction"
+        }
+    ],
+    "https://github.com/rgthree/rgthree-comfy": [
+        [],
+        {
+            "author": "rgthree",
+            "description": "A bunch of nodes I created that I also find useful.",
+            "nickname": "rgthree",
+            "nodename_pattern": " \\(rgthree\\)$",
+            "title": "Comfy Nodes",
+            "title_aux": "rgthree's ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/rhdunn/comfyui-audio-processing": [
+        [
+            "ComfyAudio.ApplyFilterBank",
+            "ComfyAudio.GriffinLim",
+            "ComfyAudio.InverseSpectrogram",
+            "ComfyAudio.LinearFilterBank",
+            "ComfyAudio.LoadAudio",
+            "ComfyAudio.MelScaleFilterBank",
+            "ComfyAudio.PlotFilterBank",
+            "ComfyAudio.PlotSpectrogram",
+            "ComfyAudio.PlotWaveform",
+            "ComfyAudio.Spectrogram"
+        ],
+        {
+            "title_aux": "comfyui-audio-processing"
+        }
+    ],
+    "https://github.com/rhdunn/comfyui-bus-plugin": [
+        [
+            "ComfyBus.CLIPConditioningBusNode",
+            "ComfyBus.CLIPEncodedPromptBusNode",
+            "ComfyBus.CheckpointBusNode",
+            "ComfyBus.ImageBusNode",
+            "ComfyBus.ImageParameterBusNode",
+            "ComfyBus.ImageScaleToSideParameterBusNode",
+            "ComfyBus.ImageSizeBusNode",
+            "ComfyBus.LatentImageBusNode",
+            "ComfyBus.LatentImageParameterBusNode",
+            "ComfyBus.PromptBusNode",
+            "ComfyBus.PromptSDXLBusNode"
+        ],
+        {
+            "title_aux": "comfyui-bus-plugin"
+        }
+    ],
+    "https://github.com/richinsley/Comfy-LFO": [
+        [
+            "LFO_Pulse",
+            "LFO_Sawtooth",
+            "LFO_Sine",
+            "LFO_Square",
+            "LFO_Triangle"
+        ],
+        {
+            "title_aux": "Comfy-LFO"
+        }
+    ],
+    "https://github.com/ricklove/comfyui-ricklove": [
+        [
+            "RL_Crop_Resize",
+            "RL_Crop_Resize_Batch",
+            "RL_Finetune_Analyze",
+            "RL_Finetune_Analyze_Batch",
+            "RL_Finetune_Variable",
+            "RL_Image_Shadow",
+            "RL_Image_Threshold_Channels",
+            "RL_Internet_Search",
+            "RL_LoadImageSequence",
+            "RL_Optical_Flow_Dip",
+            "RL_SaveImageSequence",
+            "RL_Uncrop",
+            "RL_Warp_Image",
+            "RL_Zoe_Depth_Map_Preprocessor",
+            "RL_Zoe_Depth_Map_Preprocessor_Raw_Infer",
+            "RL_Zoe_Depth_Map_Preprocessor_Raw_Process"
+        ],
+        {
+            "title_aux": "comfyui-ricklove"
+        }
+    ],
+    "https://github.com/risunobushi/comfyUI_FrequencySeparation_RGB-HSV": [
+        [
+            "FrequencyCombination",
+            "FrequencyCombinationHSV",
+            "FrequencySeparation",
+            "FrequencySeparationHSV"
+        ],
+        {
+            "title_aux": "comfyUI_FrequencySeparation_RGB-HSV"
+        }
+    ],
+    "https://github.com/rklaffehn/rk-comfy-nodes": [
+        [
+            "RK_CivitAIAddHashes",
+            "RK_CivitAIMetaChecker"
+        ],
+        {
+            "title_aux": "rk-comfy-nodes"
+        }
+    ],
+    "https://github.com/romeobuilderotti/ComfyUI-PNG-Metadata": [
+        [
+            "SetMetadataAll",
+            "SetMetadataString"
+        ],
+        {
+            "title_aux": "ComfyUI PNG Metadata"
+        }
+    ],
+    "https://github.com/ronniebasak/ComfyUI-Tara-LLM-Integration": [
+        [
+            "TaraAdvancedComposition",
+            "TaraApiKeyLoader",
+            "TaraApiKeySaver",
+            "TaraDaisyChainNode",
+            "TaraLLMConfig",
+            "TaraPresetLLMConfig",
+            "TaraPrompter",
+            "TaraPrompterAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI-Tara-LLM-Integration"
+        }
+    ],
+    "https://github.com/royceschultz/ComfyUI-Notifications": [
+        [
+            "Notif-PlaySound",
+            "Notif-SystemNotification",
+            "Notif-UnifiedNotification",
+            "Notif-Webhook"
+        ],
+        {
+            "title_aux": "ComfyUI-Notifications"
+        }
+    ],
+    "https://github.com/royceschultz/ComfyUI-TranscriptionTools": [
+        [
+            "TT-AudioSink",
+            "TT-ConvertVhsAudioToAudio",
+            "TT-LoadAudio",
+            "TT-LoadBatch",
+            "TT-LoadVideoAudio",
+            "TT-LoadWhisperModel",
+            "TT-WhisperTranscription",
+            "TT-WhisperTranscriptionBatch"
+        ],
+        {
+            "title_aux": "ComfyUI-TranscriptionTools"
+        }
+    ],
+    "https://github.com/rui40000/RUI-Nodes": [
+        [
+            "ABCondition",
+            "CharacterCount"
+        ],
+        {
+            "title_aux": "RUI-Nodes"
+        }
+    ],
+    "https://github.com/ruiqutech/ComfyUI-RuiquNodes": [
+        [
+            "EvaluateListMultiple1",
+            "EvaluateListMultiple3",
+            "EvaluateListMultiple6",
+            "EvaluateListMultiple9",
+            "EvaluateMultiple1",
+            "EvaluateMultiple3",
+            "EvaluateMultiple6",
+            "EvaluateMultiple9",
+            "ImageDilate",
+            "ImageErode",
+            "ListPath",
+            "MaskDilate",
+            "MaskErode",
+            "PreviewMask",
+            "RangeSplit",
+            "SaveMask",
+            "StringAsAny",
+            "StringConcat1",
+            "StringConcat3",
+            "StringConcat6",
+            "StringConcat9",
+            "StringPathStem",
+            "TermsToList",
+            "VAEDecodeSave"
+        ],
+        {
+            "title_aux": "RuiquNodes for ComfyUI"
+        }
+    ],
+    "https://github.com/runtime44/comfyui_r44_nodes": [
+        [
+            "Runtime44ColorMatch",
+            "Runtime44DynamicKSampler",
+            "Runtime44FilmGrain",
+            "Runtime44ImageEnhance",
+            "Runtime44ImageOverlay",
+            "Runtime44ImageResizer",
+            "Runtime44ImageToNoise",
+            "Runtime44IterativeUpscaleFactor",
+            "Runtime44MaskSampler",
+            "Runtime44TiledMaskSampler",
+            "Runtime44Upscaler"
+        ],
+        {
+            "title_aux": "Runtime44 ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside": [
+        [
+            "AudioFeatureExtractor",
+            "AudioFeatureVisualizer",
+            "AudioFilter",
+            "AudioSeparator",
+            "BrightnessFeatureNode",
+            "ColorFeatureNode",
+            "DepthBasedMaskOpacity",
+            "DepthFeatureNode",
+            "DownloadOpenUnmixModel",
+            "DyeImage",
+            "EmitterMovement",
+            "FeatureMath",
+            "FeatureMixer",
+            "FeatureOscillator",
+            "FeatureScaler",
+            "FeatureSmoothing",
+            "FeatureToWeightsStrategy",
+            "FlexDepthBasedMaskOpacity",
+            "FlexImageBloom",
+            "FlexImageChromaticAberration",
+            "FlexImageColorGrade",
+            "FlexImageEdgeDetect",
+            "FlexImageGlitch",
+            "FlexImageKaleidoscope",
+            "FlexImagePixelate",
+            "FlexImagePosterize",
+            "FlexImageTiltShift",
+            "FlexMaskBinary",
+            "FlexMaskEmanatingRings",
+            "FlexMaskMath",
+            "FlexMaskMorph",
+            "FlexMaskOpacity",
+            "FlexMaskRandomShapes",
+            "FlexMaskTransform",
+            "FlexMaskVoronoiScheduled",
+            "FlexMaskWarp",
+            "FlexMaskWavePropagation",
+            "FrequencyFilterCustom",
+            "FrequencyFilterPreset",
+            "GravityWell",
+            "ImageChunk",
+            "ImageDifference",
+            "ImageInterval",
+            "ImageShuffle",
+            "MIDILoadAndExtract",
+            "MaskMath",
+            "MaskMorph",
+            "MaskRings",
+            "MaskTransform",
+            "MaskWarp",
+            "MotionFeatureNode",
+            "MovingShape",
+            "OpticalFlowDirectionMask",
+            "OpticalFlowMaskModulation",
+            "OpticalFlowParticleSystem",
+            "ParticleColorModulation",
+            "ParticleEmissionMask",
+            "ParticleEmitter",
+            "ParticleSizeModulation",
+            "ParticleSpeedModulation",
+            "SpringJointSetting",
+            "StaticBody",
+            "SwapDevice",
+            "TextMaskNode",
+            "TimeFeatureNode",
+            "VideoChunk",
+            "Vortex",
+            "_mfc"
+        ],
+        {
+            "title_aux": "RyanOnTheInside"
+        }
+    ],
+    "https://github.com/s1dlx/comfy_meh/raw/main/meh.py": [
+        [
+            "MergingExecutionHelper"
+        ],
+        {
+            "title_aux": "comfy_meh"
+        }
+    ],
+    "https://github.com/saftle/suplex_comfy_nodes": [
+        [
+            "ControlNet Selector",
+            "ControlNetOptionalLoader",
+            "DiffusersSelector",
+            "MultiInputVariableRewrite",
+            "SaveImageJPGNoMeta"
+        ],
+        {
+            "title_aux": "Suplex Misc ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer": [
+        [
+            "FlipStreamLoader",
+            "FlipStreamOption",
+            "FlipStreamUpdate",
+            "FlipStreamViewer"
+        ],
+        {
+            "title_aux": "ComfyUI_FlipStreamViewer"
+        }
+    ],
+    "https://github.com/sdfxai/SDFXBridgeForComfyUI": [
+        [
+            "SDFXClipTextEncode"
+        ],
+        {
+            "title_aux": "SDFXBridgeForComfyUI - ComfyUI Custom Node for SDFX Integration"
+        }
+    ],
+    "https://github.com/seanlynch/comfyui-optical-flow": [
+        [
+            "Apply optical flow",
+            "Compute optical flow",
+            "Visualize optical flow"
+        ],
+        {
+            "title_aux": "ComfyUI Optical Flow"
+        }
+    ],
+    "https://github.com/seanlynch/srl-nodes": [
+        [
+            "SRL Conditional Interrrupt",
+            "SRL Eval",
+            "SRL Filter Image List",
+            "SRL Format String"
+        ],
+        {
+            "title_aux": "SRL's nodes"
+        }
+    ],
+    "https://github.com/seghier/ComfyUI_LibreTranslate/raw/main/translate_node.py": [
+        [
+            "LibreTranslate"
+        ],
+        {
+            "title_aux": "ComfyUI_LibreTranslate"
+        }
+    ],
+    "https://github.com/sergekatzmann/ComfyUI_Nimbus-Pack": [
+        [
+            "AdjustAndRoundDimensions",
+            "AspectRatioMobileDevices",
+            "ImageResizeAndCropNode",
+            "ImageSquareAdapterNode",
+            "PopularScreenResolutions"
+        ],
+        {
+            "title_aux": "ComfyUI_Nimbus-Pack"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-Image-reward": [
+        [
+            "ImageBatchToList_",
+            "ImageRewardScore_"
+        ],
+        {
+            "title_aux": "comfyui-Image-reward"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-consistency-decoder": [
+        [
+            "VAEDecodeConsistencyDecoder",
+            "VAELoaderConsistencyDecoder"
+        ],
+        {
+            "title_aux": "Consistency Decoder"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-edit-mask": [
+        [
+            "EditMask"
+        ],
+        {
+            "title_aux": "comfyui-edit-mask"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-liveportrait": [
+        [
+            "ExpressionEditor_",
+            "ExpressionVideo2VideoNode",
+            "ExpressionVideoNode",
+            "FaceCropInfo",
+            "LivePortraitNode",
+            "LivePortraitVideoNode",
+            "Retargeting"
+        ],
+        {
+            "title_aux": "comfyui-liveportrait"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-mixlab-nodes": [
+        [
+            "3DImage",
+            "AppInfo",
+            "ApplyVisualStylePrompting_",
+            "AreaToMask",
+            "AudioPlay",
+            "CenterImage",
+            "CkptNames_",
+            "Color",
+            "ComparingTwoFrames_",
+            "CompositeImages_",
+            "DepthViewer",
+            "DynamicDelayProcessor",
+            "EmbeddingPrompt",
+            "EnhanceImage",
+            "FaceToMask",
+            "FeatheredMask",
+            "FloatSlider",
+            "FloatingVideo",
+            "Font",
+            "GLIGENTextBoxApply_Advanced",
+            "GetImageSize_",
+            "GradientImage",
+            "GridDisplayAndSave",
+            "GridInput",
+            "GridOutput",
+            "ImageBatchToList_",
+            "ImageColorTransfer",
+            "ImageCropByAlpha",
+            "ImageListToBatch_",
+            "ImagesPrompt_",
+            "IncrementingListNode_",
+            "IntNumber",
+            "JoinWithDelimiter",
+            "KeyInput",
+            "LimitNumber",
+            "ListSplit_",
+            "LoadImagesFromPath",
+            "LoadImagesFromURL",
+            "LoadImagesToBatch",
+            "LoraNames_",
+            "LoraPrompt",
+            "MaskListMerge_",
+            "MaskListReplace_",
+            "MergeLayers",
+            "MirroredImage",
+            "MultiplicationNode",
+            "NewLayer",
+            "NoiseImage",
+            "OutlineMask",
+            "P5Input",
+            "PreviewMask_",
+            "PromptImage",
+            "PromptSimplification",
+            "PromptSlide",
+            "RandomPrompt",
+            "ResizeImageMixlab",
+            "SamplerNames_",
+            "SaveImageAndMetadata_",
+            "SaveImageToLocal",
+            "ScreenShare",
+            "Seed_",
+            "ShowLayer",
+            "SmoothMask",
+            "SpeechRecognition",
+            "SpeechSynthesis",
+            "SplitImage",
+            "SplitLongMask",
+            "StyleAlignedBatchAlign_",
+            "StyleAlignedReferenceSampler_",
+            "StyleAlignedSampleReferenceLatents_",
+            "SvgImage",
+            "SwitchByIndex",
+            "TESTNODE_",
+            "TESTNODE_TOKEN",
+            "TextImage",
+            "TextInput_",
+            "TextToNumber",
+            "TransparentImage",
+            "VAEDecodeConsistencyDecoder",
+            "VAELoaderConsistencyDecoder"
+        ],
+        {
+            "title_aux": "comfyui-mixlab-nodes"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-sound-lab": [
+        [
+            "AudioPlay",
+            "Musicgen_",
+            "StableAudio_"
+        ],
+        {
+            "title_aux": "comfyui-sound-lab"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-try-on": [
+        [
+            "CatVTONNode",
+            "FashionClothMask",
+            "FashionClothMask2"
+        ],
+        {
+            "author": "chflame",
+            "description": "CatVTON warpper for ComfyUI",
+            "nickname": "CatVTON_Wrapper",
+            "title": "CatVTON_Wrapper",
+            "title_aux": "comfyui-try-on"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-ultralytics-yolo": [
+        [
+            "DetectByLabel"
+        ],
+        {
+            "title_aux": "comfyui-ultralytics-yolo"
+        }
+    ],
+    "https://github.com/shi3z/ComfyUI_Memeplex_DALLE": [
+        [
+            "DallERender",
+            "GPT",
+            "MemeplexCustomSDXLRender",
+            "MemeplexRender",
+            "TextInput",
+            "TextSend"
+        ],
+        {
+            "title_aux": "ComfyUI_Memeplex_DALLE"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI-PhotoMaker-Plus": [
+        [
+            "PhotoMakerEncodePlus",
+            "PhotoMakerInsightFaceLoader",
+            "PhotoMakerLoaderPlus",
+            "PhotoMakerLoraLoaderPlus",
+            "PhotoMakerStyles",
+            "PrepImagesForClipVisionFromPath"
+        ],
+        {
+            "title_aux": "ComfyUI PhotoMaker Plus"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI-TiledDiffusion": [
+        [
+            "NoiseInversion",
+            "TiledDiffusion",
+            "VAEDecodeTiled_TiledDiffusion",
+            "VAEEncodeTiled_TiledDiffusion"
+        ],
+        {
+            "title_aux": "Tiled Diffusion & VAE for ComfyUI"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI-semantic-aware-guidance": [
+        [
+            "SemanticAwareGuidance"
+        ],
+        {
+            "title_aux": "Semantic-aware Guidance (S-CFG)"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI_smZNodes": [
+        [
+            "smZ CLIPTextEncode",
+            "smZ Settings"
+        ],
+        {
+            "title_aux": "smZNodes"
+        }
+    ],
+    "https://github.com/shingo1228/ComfyUI-SDXL-EmptyLatentImage": [
+        [
+            "SDXL Empty Latent Image"
+        ],
+        {
+            "title_aux": "ComfyUI-SDXL-EmptyLatentImage"
+        }
+    ],
+    "https://github.com/shingo1228/ComfyUI-send-eagle-slim": [
+        [
+            "Send Eagle with text",
+            "Send Webp Image to Eagle"
+        ],
+        {
+            "title_aux": "ComfyUI-send-Eagle(slim)"
+        }
+    ],
+    "https://github.com/shinich39/comfyui-load-image-with-cmd": [
+        [
+            "LoadImageWithCMD"
+        ],
+        {
+            "author": "shinich39",
+            "description": "Load image and partially workflow with javascript.",
+            "nickname": "load-image-with-cmd",
+            "title": "load-image-with-cmd",
+            "title_aux": "comfyui-load-image-with-cmd"
+        }
+    ],
+    "https://github.com/shinich39/comfyui-parse-image": [
+        [
+            "LoadBooleanFromImage",
+            "LoadComboFromImage",
+            "LoadFloatFromImage",
+            "LoadIntFromImage",
+            "LoadStringFromImage"
+        ],
+        {
+            "author": "shinich39",
+            "description": "Extract metadata from image.",
+            "nickname": "parse-image",
+            "title": "parse-image",
+            "title_aux": "comfyui-parse-image"
+        }
+    ],
+    "https://github.com/shinich39/comfyui-put-image": [
+        [
+            "PutImage"
+        ],
+        {
+            "author": "shinich39",
+            "description": "Load image from directory.",
+            "nickname": "put-image",
+            "title": "put-image",
+            "title_aux": "comfyui-put-image"
+        }
+    ],
+    "https://github.com/shobhitic/ComfyUI-PlusMinusTextClip": [
+        [
+            "PlusMinusTextClip"
+        ],
+        {
+            "title_aux": "PlusMinusTextClip - Single node for Positive and Negative Prompts"
+        }
+    ],
+    "https://github.com/shockz0rz/ComfyUI_InterpolateEverything": [
+        [
+            "OpenposePreprocessorInterpolate"
+        ],
+        {
+            "title_aux": "InterpolateEverything"
+        }
+    ],
+    "https://github.com/shockz0rz/comfy-easy-grids": [
+        [
+            "FloatToText",
+            "GridFloatList",
+            "GridFloats",
+            "GridIntList",
+            "GridInts",
+            "GridLoras",
+            "GridStringList",
+            "GridStrings",
+            "ImageGridCommander",
+            "IntToText",
+            "SaveImageGrid",
+            "TextConcatenator"
+        ],
+        {
+            "title_aux": "comfy-easy-grids"
+        }
+    ],
+    "https://github.com/siliconflow/BizyAir": [
+        [
+            "BizyAirAuraSR",
+            "BizyAirBAE_NormalMapPreprocessor",
+            "BizyAirBinaryPreprocessor",
+            "BizyAirCannyEdgePreprocessor",
+            "BizyAirColorPreprocessor",
+            "BizyAirDWPreprocessor",
+            "BizyAirDepthAnythingV2Preprocessor",
+            "BizyAirFakeScribblePreprocessor",
+            "BizyAirGenerateLightningImage",
+            "BizyAirHEDPreprocessor",
+            "BizyAirJoyCaption",
+            "BizyAirLeReS_DepthMapPreprocessor",
+            "BizyAirLineArtPreprocessor",
+            "BizyAirM_LSDPreprocessor",
+            "BizyAirMetric3D_DepthMapPreprocessor",
+            "BizyAirMetric3D_NormalMapPreprocessor",
+            "BizyAirMiDaS_DepthMapPreprocessor",
+            "BizyAirMiDaS_NormalMapPreprocessor",
+            "BizyAirOneFormer_ADE20K_SemSegPreprocessor",
+            "BizyAirOneFormer_COCO_SemSegPreprocessor",
+            "BizyAirOpenposePreprocessor",
+            "BizyAirPiDiNetPreprocessor",
+            "BizyAirRemoveBackground",
+            "BizyAirSAMPreprocessor",
+            "BizyAirScribblePreprocessor",
+            "BizyAirSiliconCloudLLMAPI",
+            "BizyAirSuperResolution",
+            "BizyAirTilePreprocessor",
+            "BizyAirUniFormer_SemSegPreprocessor",
+            "BizyAirZoe_DepthMapPreprocessor",
+            "BizyAir_MinusZoneChatGLM3TextEncode",
+            "StableDiffusionXLControlNetUnionPipeline"
+        ],
+        {
+            "title_aux": "\u2601\ufe0fBizyAir Nodes"
+        }
+    ],
+    "https://github.com/sipherxyz/comfyui-art-venture": [
+        [
+            "AV_AwsBedrockClaudeApi",
+            "AV_AwsBedrockMistralApi",
+            "AV_CheckpointMerge",
+            "AV_CheckpointModelsToParametersPipe",
+            "AV_CheckpointSave",
+            "AV_ClaudeApi",
+            "AV_ControlNetEfficientLoader",
+            "AV_ControlNetEfficientLoaderAdvanced",
+            "AV_ControlNetEfficientStacker",
+            "AV_ControlNetEfficientStackerSimple",
+            "AV_ControlNetLoader",
+            "AV_ControlNetPreprocessor",
+            "AV_LLMApiConfig",
+            "AV_LLMChat",
+            "AV_LLMCompletion",
+            "AV_LLMMessage",
+            "AV_LoraListLoader",
+            "AV_LoraListStacker",
+            "AV_LoraLoader",
+            "AV_OpenAIApi",
+            "AV_ParametersPipeToCheckpointModels",
+            "AV_ParametersPipeToPrompts",
+            "AV_PromptsToParametersPipe",
+            "AV_SAMLoader",
+            "AV_VAELoader",
+            "AspectRatioSelector",
+            "BLIPCaption",
+            "BLIPLoader",
+            "BooleanPrimitive",
+            "CheckpointNameSelector",
+            "ColorBlend",
+            "ColorCorrect",
+            "DeepDanbooruCaption",
+            "DependenciesEdit",
+            "Fooocus_KSampler",
+            "Fooocus_KSamplerAdvanced",
+            "GetBoolFromJson",
+            "GetFloatFromJson",
+            "GetIntFromJson",
+            "GetObjectFromJson",
+            "GetSAMEmbedding",
+            "GetTextFromJson",
+            "ISNetLoader",
+            "ISNetSegment",
+            "ImageAlphaComposite",
+            "ImageApplyChannel",
+            "ImageExtractChannel",
+            "ImageGaussianBlur",
+            "ImageMuxer",
+            "ImageRepeat",
+            "ImageScaleDown",
+            "ImageScaleDownBy",
+            "ImageScaleDownToSize",
+            "ImageScaleToMegapixels",
+            "LaMaInpaint",
+            "LoadImageAsMaskFromUrl",
+            "LoadImageFromUrl",
+            "LoadJsonFromUrl",
+            "MergeModels",
+            "NumberScaler",
+            "OverlayInpaintedImage",
+            "OverlayInpaintedLatent",
+            "PrepareImageAndMaskForInpaint",
+            "QRCodeGenerator",
+            "RandomFloat",
+            "RandomInt",
+            "SAMEmbeddingToImage",
+            "SDXLAspectRatioSelector",
+            "SDXLPromptStyler",
+            "SeedSelector",
+            "StringToInt",
+            "StringToNumber"
+        ],
+        {
+            "title_aux": "comfyui-art-venture"
+        }
+    ],
+    "https://github.com/skfoo/ComfyUI-Coziness": [
+        [
+            "LoraTextExtractor-b1f83aa2",
+            "MultiLoraLoader-70bf3d77"
+        ],
+        {
+            "title_aux": "ComfyUI-Coziness"
+        }
+    ],
+    "https://github.com/slyt/comfyui-ollama-nodes": [
+        [
+            "BooleanToString",
+            "DownloadHuggingfaceModel",
+            "FloatToString",
+            "GenerateOllama",
+            "IntToString",
+            "ListModels",
+            "ListToString",
+            "PullModel"
+        ],
+        {
+            "title_aux": "comfyui-ollama-nodes"
+        }
+    ],
+    "https://github.com/smagnetize/kb-comfyui-nodes": [
+        [
+            "SingleImageDataUrlLoader"
+        ],
+        {
+            "title_aux": "kb-comfyui-nodes"
+        }
+    ],
+    "https://github.com/smlbiobot/ComfyUI-Flux-Replicate-API": [
+        [
+            "SML_FluxPro_Replicate_Standalone"
+        ],
+        {
+            "title_aux": "ComfyUI-Flux-Replicate-API"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_AnyDoor": [
+        [
+            "AnyDoor_LoadModel",
+            "AnyDoor_img2img"
+        ],
+        {
+            "title_aux": "ComfyUI_AnyDoor"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_ChatGLM_API": [
+        [
+            "Glm_4_9b_Chat",
+            "Glm_4v_9b",
+            "Glm_Lcoal_Or_Repo",
+            "ZhipuaiApi_Character",
+            "ZhipuaiApi_Txt",
+            "ZhipuaiApi_img"
+        ],
+        {
+            "title_aux": "ComfyUI_ChatGLM_API"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_CustomNet": [
+        [
+            "CustomNet_LoadModel",
+            "CustomNet_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_CustomNet"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Diffree": [
+        [
+            "Diffree_Model_Loader",
+            "Diffree_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Diffree"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_EchoMimic": [
+        [
+            "Echo_LoadModel",
+            "Echo_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_EchoMimic"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_FoleyCrafter": [
+        [
+            "FoleyCrafter_LoadModel",
+            "FoleyCrafter_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_FoleyCrafter"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_FollowYourEmoji": [
+        [
+            "Emoji_Make_Temple",
+            "FollowYouEmoji_LoadModel",
+            "FollowYouEmoji_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_FollowYourEmoji"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_HiDiffusion_Pro": [
+        [
+            "HI_Diffusers_Model_Loader",
+            "Hi_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_HiDiffusion_Pro"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_ID_Animator": [
+        [
+            "ID_Animator",
+            "ID_Repo_Choice"
+        ],
+        {
+            "title_aux": "ComfyUI_ID_Animator"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Llama3_8B": [
+        [
+            "ChatQA_1p5_8b",
+            "Local_Or_Repo_Choice",
+            "Meta_Llama3_8B",
+            "MiniCPM_Llama3_V25"
+        ],
+        {
+            "title_aux": "ComfyUI_Llama3_8B"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_MS_Diffusion": [
+        [
+            "MS_Object_img_Batch",
+            "MSdiffusion_Model_Loader",
+            "MSdiffusion_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_MS_Diffusion"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_MooER": [
+        [
+            "MooER_LoadModel",
+            "MooER_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_MooER"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_ParlerTTS": [
+        [
+            "ParlerTTS_LoadModel",
+            "ParlerTTS_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_ParlerTTS"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Pic2Story": [
+        [
+            "Pic2Story_Loader",
+            "Pic2Story_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Pic2Story"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Pipeline_Tool": [
+        [
+            "Pipeline_Tool"
+        ],
+        {
+            "title_aux": "ComfyUI_Pipeline_Tool"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Pops": [
+        [
+            "Pops_Decoder",
+            "Pops_Repo_Loader",
+            "Pops_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Pops"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_StableAudio_Open": [
+        [
+            "StableAudio_ModelLoader",
+            "StableAudio_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_StableAudio_Open"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Stable_Makeup": [
+        [
+            "StableMakeup_LoadModel",
+            "StableMakeup_Sampler"
+        ],
+        {
+            "author": "Sajjad Ayobbi",
+            "title_aux": "ComfyUI_Stable_Makeup"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_StoryDiffusion": [
+        [
+            "Comic_Type",
+            "Pre_Translate_prompt",
+            "Storydiffusion_Model_Loader",
+            "Storydiffusion_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_StoryDiffusion"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Streamv2v_Plus": [
+        [
+            "Stream_Lora_Loader",
+            "Stream_Model_Loader",
+            "Stream_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Streamv2v_Plus"
+        }
+    ],
+    "https://github.com/sn0w12/ComfyUI-Sn0w-Scripts": [
+        [
+            "Character Selector",
+            "Copy/Paste Textbox",
+            "Filter Tags",
+            "Get Font Size",
+            "Load Lora Folder",
+            "Load Lora Sn0w",
+            "Lora Selector",
+            "Lora Tester",
+            "Prompt Combine",
+            "Prompt Selector",
+            "Sn0w KSampler",
+            "Sn0w Lora Stacker",
+            "Upscale Image With Model By"
+        ],
+        {
+            "title_aux": "ComfyUI-Sn0w-Scripts"
+        }
+    ],
+    "https://github.com/souki202/ComfyUI-LoadImage-Advanced": [
+        [
+            "ColorAdjustment",
+            "LoadImageUpscale",
+            "LoadImageUpscaleBy"
+        ],
+        {
+            "title_aux": "ComfyUI-LoadImage-Advanced"
+        }
+    ],
+    "https://github.com/space-nuko/ComfyUI-Disco-Diffusion": [
+        [
+            "DiscoDiffusion_DiscoDiffusion",
+            "DiscoDiffusion_DiscoDiffusionExtraSettings",
+            "DiscoDiffusion_GuidedDiffusionLoader",
+            "DiscoDiffusion_OpenAICLIPLoader"
+        ],
+        {
+            "title_aux": "Disco Diffusion"
+        }
+    ],
+    "https://github.com/space-nuko/ComfyUI-OpenPose-Editor": [
+        [
+            "Nui.OpenPoseEditor"
+        ],
+        {
+            "title_aux": "OpenPose Editor"
+        }
+    ],
+    "https://github.com/space-nuko/nui-suite": [
+        [
+            "Nui.DynamicPromptsTextGen",
+            "Nui.FeelingLuckyTextGen",
+            "Nui.OutputString"
+        ],
+        {
+            "title_aux": "nui suite"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-Florence-2": [
+        [
+            "Florence2",
+            "Florence2Postprocess",
+            "Florence2PostprocessAll",
+            "LoadFlorence2Model"
+        ],
+        {
+            "title_aux": "ComfyUI-Florence-2"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-HQ-Image-Save": [
+        [
+            "LoadEXR",
+            "LoadEXRFrames",
+            "LoadLatentEXR",
+            "SaveEXR",
+            "SaveEXRFrames",
+            "SaveLatentEXR",
+            "SaveTiff"
+        ],
+        {
+            "title_aux": "ComfyUI-HQ-Image-Save"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-Image-Filters": [
+        [
+            "AdainFilterLatent",
+            "AdainImage",
+            "AdainLatent",
+            "AlphaClean",
+            "AlphaMatte",
+            "BatchAlign",
+            "BatchAverageImage",
+            "BatchAverageUnJittered",
+            "BatchNormalizeImage",
+            "BatchNormalizeLatent",
+            "BetterFilmGrain",
+            "BilateralFilterImage",
+            "BlurImageFast",
+            "BlurMaskFast",
+            "ClampOutliers",
+            "ColorMatchImage",
+            "ConditioningSubtract",
+            "ConvertNormals",
+            "CustomNoise",
+            "DepthToNormals",
+            "DifferenceChecker",
+            "DilateErodeMask",
+            "EnhanceDetail",
+            "ExposureAdjust",
+            "FrequencyCombine",
+            "FrequencySeparate",
+            "GameOfLife",
+            "GuidedFilterAlpha",
+            "GuidedFilterImage",
+            "ImageConstant",
+            "ImageConstantHSV",
+            "InstructPixToPixConditioningAdvanced",
+            "JitterImage",
+            "Keyer",
+            "LatentNormalizeShuffle",
+            "LatentStats",
+            "MedianFilterImage",
+            "ModelTest",
+            "NormalMapSimple",
+            "OffsetLatentImage",
+            "PrintSigmas",
+            "RelightSimple",
+            "RemapRange",
+            "RestoreDetail",
+            "SharpenFilterLatent",
+            "ShuffleChannels",
+            "Tonemap",
+            "UnJitterImage",
+            "UnTonemap",
+            "VisualizeLatents"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Filters"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-RAVE": [
+        [
+            "ConditioningDebug",
+            "ImageGridCompose",
+            "ImageGridDecompose",
+            "KSamplerRAVE",
+            "LatentGridCompose",
+            "LatentGridDecompose"
+        ],
+        {
+            "title_aux": "ComfyUI-RAVE"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-StyleGan": [
+        [
+            "BatchAverageStyleGANLatents",
+            "BlendStyleGANLatents",
+            "GenerateStyleGANLatent",
+            "LoadStyleGAN",
+            "StyleGANInversion",
+            "StyleGANLatentFromBatch",
+            "StyleGANSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-StyleGan"
+        }
+    ],
+    "https://github.com/spinagon/ComfyUI-seam-carving": [
+        [
+            "SeamCarving"
+        ],
+        {
+            "title_aux": "ComfyUI-seam-carving"
+        }
+    ],
+    "https://github.com/spinagon/ComfyUI-seamless-tiling": [
+        [
+            "CircularVAEDecode",
+            "MakeCircularVAE",
+            "OffsetImage",
+            "SeamlessTile"
+        ],
+        {
+            "title_aux": "Seamless tiling Node for ComfyUI"
+        }
+    ],
+    "https://github.com/spro/comfyui-mirror": [
+        [
+            "LatentMirror"
+        ],
+        {
+            "title_aux": "Latent Mirror node for ComfyUI"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_UltimateSDUpscale": [
+        [
+            "UltimateSDUpscale",
+            "UltimateSDUpscaleCustomSample",
+            "UltimateSDUpscaleNoUpscale"
+        ],
+        {
+            "title_aux": "UltimateSDUpscale"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_fabric": [
+        [
+            "FABRICPatchModel",
+            "FABRICPatchModelAdv",
+            "KSamplerAdvFABRICAdv",
+            "KSamplerFABRIC",
+            "KSamplerFABRICAdv"
+        ],
+        {
+            "title_aux": "ComfyUI fabric"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_restart_sampling": [
+        [
+            "KRestartSampler",
+            "KRestartSamplerAdv",
+            "KRestartSamplerCustom",
+            "KRestartSamplerSimple",
+            "RestartSampler",
+            "RestartScheduler"
+        ],
+        {
+            "title_aux": "Restart Sampling"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_roop": [
+        [
+            "RoopImproved",
+            "roop"
+        ],
+        {
+            "title_aux": "ComfyUI roop"
+        }
+    ],
+    "https://github.com/stavsap/comfyui-ollama": [
+        [
+            "OllamaGenerate",
+            "OllamaGenerateAdvance",
+            "OllamaLoadContext",
+            "OllamaSaveContext",
+            "OllamaVision"
+        ],
+        {
+            "title_aux": "ComfyUI Ollama"
+        }
+    ],
+    "https://github.com/storyicon/comfyui_musev_evolved": [
+        [
+            "AnimationZoom (comfyui_musev_evolved)",
+            "ImageSelector (comfyui_musev_evolved)",
+            "MuseVImg2Vid V1 (comfyui_musev_evolved)",
+            "MuseVPredictor V1 (comfyui_musev_evolved)"
+        ],
+        {
+            "author": "infguo",
+            "title_aux": "ComfyUI MuseV Evolved"
+        }
+    ],
+    "https://github.com/storyicon/comfyui_segment_anything": [
+        [
+            "GroundingDinoModelLoader (segment anything)",
+            "GroundingDinoSAMSegment (segment anything)",
+            "InvertMask (segment anything)",
+            "IsMaskEmpty",
+            "SAMModelLoader (segment anything)"
+        ],
+        {
+            "title_aux": "segment anything"
+        }
+    ],
+    "https://github.com/strimmlarn/ComfyUI_Strimmlarns_aesthetic_score": [
+        [
+            "AesthetlcScoreSorter",
+            "CalculateAestheticScore",
+            "LoadAesteticModel",
+            "ScoreToNumber"
+        ],
+        {
+            "title_aux": "ComfyUI_Strimmlarns_aesthetic_score"
+        }
+    ],
+    "https://github.com/styler00dollar/ComfyUI-deepcache": [
+        [
+            "DeepCache"
+        ],
+        {
+            "title_aux": "ComfyUI-deepcache"
+        }
+    ],
+    "https://github.com/styler00dollar/ComfyUI-sudo-latent-upscale": [
+        [
+            "SudoLatentUpscale"
+        ],
+        {
+            "title_aux": "ComfyUI-sudo-latent-upscale"
+        }
+    ],
+    "https://github.com/sugarkwork/comfyui_cohere": [
+        [
+            "SimpleCohereNode"
+        ],
+        {
+            "title_aux": "comfyui_cohere"
+        }
+    ],
+    "https://github.com/sugarkwork/comfyui_tag_fillter": [
+        [
+            "TagFilter",
+            "TagMerger",
+            "TagRemover",
+            "TagReplace",
+            "TagSwitcher"
+        ],
+        {
+            "title_aux": "comfyui_tag_filter"
+        }
+    ],
+    "https://github.com/superyoman/comfyui_lumaAPI": [
+        [
+            "LUMA_API_YoC",
+            "LUMA_API_result_YoC"
+        ],
+        {
+            "title_aux": "comfyui_lumaAPI"
+        }
+    ],
+    "https://github.com/syaofox/ComfyUI_FoxTools": [
+        [
+            "FoxBatchImageFromList",
+            "FoxChineseCLIPEncode",
+            "FoxColorMatch",
+            "FoxCreateBlurBord",
+            "FoxCreateFaceMask",
+            "FoxFaceAlign",
+            "FoxFaceAlignCacul",
+            "FoxFaceAlignSimple",
+            "FoxFaceAnalysisModels",
+            "FoxFaceBoundingBox",
+            "FoxFaceEmbedDistance",
+            "FoxFaceOcclusionModelLoader",
+            "FoxFaceSegmentation",
+            "FoxFaceShaper",
+            "FoxFaceShaperModels",
+            "FoxFaceWarp",
+            "FoxGenSwapPathText",
+            "FoxGrowMaskWithBlur",
+            "FoxImageAdd",
+            "FoxImageConcanate",
+            "FoxImageExtractFromBatch",
+            "FoxImageResizeBySpecialSide",
+            "FoxImageRotate",
+            "FoxImageScaleToSDType",
+            "FoxImageTileBatch",
+            "FoxLoadImageList",
+            "FoxLoadImagePlus",
+            "FoxMaskAddMask",
+            "FoxMaskAndMask",
+            "FoxMaskSubMask",
+            "FoxOutlineMask",
+            "FoxPreviewMask",
+            "FoxPrimitiveText",
+            "FoxRegTextFind",
+            "FoxSDXLPromptStyler",
+            "FoxSDXLPromptStylerAdvanced",
+            "FoxSaveImagePlus",
+            "FoxSelectFace",
+            "FoxShowText",
+            "FoxTextConcatenate",
+            "FoxTrimBlackBoard",
+            "FoxUltraImageLoader",
+            "Fox_Seed",
+            "FoxcleanGPUUsed"
+        ],
+        {
+            "title_aux": "ComfyUI_FoxTools"
+        }
+    ],
+    "https://github.com/syllebra/bilbox-comfyui": [
+        [
+            "BilboXLut",
+            "BilboXPhotoPrompt",
+            "BilboXVignette"
+        ],
+        {
+            "title_aux": "BilboX's ComfyUI Custom Nodes"
+        }
+    ],
+    "https://github.com/sylym/comfy_vid2vid": [
+        [
+            "CheckpointLoaderSimpleSequence",
+            "DdimInversionSequence",
+            "KSamplerSequence",
+            "LoadImageMaskSequence",
+            "LoadImageSequence",
+            "LoraLoaderSequence",
+            "SetLatentNoiseSequence",
+            "TrainUnetSequence",
+            "VAEEncodeForInpaintSequence"
+        ],
+        {
+            "title_aux": "Vid2vid"
+        }
+    ],
+    "https://github.com/szhublox/ambw_comfyui": [
+        [
+            "Auto Merge Block Weighted",
+            "CLIPMergeSimple",
+            "CheckpointSave",
+            "ModelMergeBlocks",
+            "ModelMergeSimple"
+        ],
+        {
+            "title_aux": "Auto-MBW"
+        }
+    ],
+    "https://github.com/taabata/Comfy_Syrian_Falcon_Nodes/raw/main/SyrianFalconNodes.py": [
+        [
+            "CompositeImage",
+            "KSamplerAlternate",
+            "KSamplerPromptEdit",
+            "KSamplerPromptEditAndAlternate",
+            "LoopBack",
+            "QRGenerate",
+            "WordAsImage"
+        ],
+        {
+            "title_aux": "Syrian Falcon Nodes"
+        }
+    ],
+    "https://github.com/taabata/LCM_Inpaint-Outpaint_Comfy": [
+        [
+            "ComfyNodesToSaveCanvas",
+            "FloatNumber",
+            "FreeU_LCM",
+            "ImageDims",
+            "ImageOutputToComfyNodes",
+            "ImageResize",
+            "ImageShuffle",
+            "ImageSwitch",
+            "LCMGenerate",
+            "LCMGenerate_ReferenceOnly",
+            "LCMGenerate_SDTurbo",
+            "LCMGenerate_img2img",
+            "LCMGenerate_img2img_IPAdapter",
+            "LCMGenerate_img2img_controlnet",
+            "LCMGenerate_inpaintv2",
+            "LCMGenerate_inpaintv3",
+            "LCMLoader",
+            "LCMLoader_RefInpaint",
+            "LCMLoader_ReferenceOnly",
+            "LCMLoader_SDTurbo",
+            "LCMLoader_controlnet",
+            "LCMLoader_controlnet_inpaint",
+            "LCMLoader_img2img",
+            "LCMLoraLoader_inpaint",
+            "LCMLoraLoader_ipadapter",
+            "LCMLora_inpaint",
+            "LCMLora_inpaintV2",
+            "LCMLora_ipadapter",
+            "LCMT2IAdapter",
+            "LCM_IPAdapter",
+            "LCM_IPAdapter_inpaint",
+            "LCM_outpaint_prep",
+            "LoadImageNode_LCM",
+            "Loader_SegmindVega",
+            "OutpaintCanvasTool",
+            "SaveImage_Canvas",
+            "SaveImage_LCM",
+            "SaveImage_Puzzle",
+            "SaveImage_PuzzleV2",
+            "SegmindVega",
+            "SettingsSwitch",
+            "stitch"
+        ],
+        {
+            "title_aux": "LCM_Inpaint-Outpaint_Comfy"
+        }
+    ],
+    "https://github.com/talesofai/comfyui-browser": [
+        [
+            "DifyTextGenerator //Browser",
+            "LoadImageByUrl //Browser",
+            "SelectInputs //Browser",
+            "UploadToRemote //Browser",
+            "XyzPlot //Browser"
+        ],
+        {
+            "title_aux": "ComfyUI Browser"
+        }
+    ],
+    "https://github.com/teward/ComfyUI-Helper-Nodes": [
+        [
+            "HelperNodes_CfgScale",
+            "HelperNodes_CheckpointSelector",
+            "HelperNodes_MultilineStringLiteral",
+            "HelperNodes_Prompt",
+            "HelperNodes_SDXLCommonResolutions",
+            "HelperNodes_SamplerSelector",
+            "HelperNodes_SaveImage",
+            "HelperNodes_SchedulerSelector",
+            "HelperNodes_SeedSelector",
+            "HelperNodes_Steps",
+            "HelperNodes_StringLiteral",
+            "HelperNodes_VAESelector",
+            "HelperNodes_WidthHeight"
+        ],
+        {
+            "title_aux": "ComfyUI-Helper-Nodes"
+        }
+    ],
+    "https://github.com/theUpsider/ComfyUI-Logic": [
+        [
+            "Bool-\ud83d\udd2c",
+            "Compare-\ud83d\udd2c",
+            "DebugPrint-\ud83d\udd2c",
+            "Float-\ud83d\udd2c",
+            "If ANY execute A else B-\ud83d\udd2c",
+            "If ANY return A else B-\ud83d\udd2c",
+            "Int-\ud83d\udd2c",
+            "String-\ud83d\udd2c"
+        ],
+        {
+            "title_aux": "ComfyUI-Logic"
+        }
+    ],
+    "https://github.com/theUpsider/ComfyUI-Styles_CSV_Loader": [
+        [
+            "Load Styles CSV"
+        ],
+        {
+            "title_aux": "Styles CSV Loader Extension for ComfyUI"
+        }
+    ],
+    "https://github.com/thecooltechguy/ComfyUI-MagicAnimate": [
+        [
+            "MagicAnimate",
+            "MagicAnimateModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-MagicAnimate"
+        }
+    ],
+    "https://github.com/thecooltechguy/ComfyUI-Stable-Video-Diffusion": [
+        [
+            "SVDDecoder",
+            "SVDModelLoader",
+            "SVDSampler",
+            "SVDSimpleImg2Vid"
+        ],
+        {
+            "title_aux": "ComfyUI Stable Video Diffusion"
+        }
+    ],
+    "https://github.com/tianguanggliu/Utools": [
+        [
+            "UTools"
+        ],
+        {
+            "title_aux": "comfyui-utools"
+        }
+    ],
+    "https://github.com/tiankuan93/ComfyUI-V-Express": [
+        [
+            "Load_Audio_Path",
+            "Load_Audio_Path_From_Video",
+            "Load_Image_Path",
+            "Load_Kps_Path",
+            "Load_Kps_Path_From_Video",
+            "Load_Video_Path",
+            "VEINTConstant",
+            "VEPreview_Video",
+            "VEStringConstant",
+            "V_Express_Loader",
+            "V_Express_Sampler"
+        ],
+        {
+            "title_aux": "V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation"
+        }
+    ],
+    "https://github.com/tianlang0704/ComfyUI-StableProjectorzBridge": [
+        [
+            "ProjectorzControlnetInput",
+            "ProjectorzControlnetParameter",
+            "ProjectorzInitInput",
+            "ProjectorzOutput",
+            "ProjectorzParameter",
+            "ProjectorzStringToFloat",
+            "ProjectorzStringToInt"
+        ],
+        {
+            "title_aux": "Stable Projectorz Bridge"
+        }
+    ],
+    "https://github.com/time-river/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py": [
+        [
+            "CLIPSeg",
+            "CombineSegMasks"
+        ],
+        {
+            "title_aux": "CLIPSeg"
+        }
+    ],
+    "https://github.com/tmagara/ComfyUI-Prediction-Boost": [
+        [
+            "PredictionBoost"
+        ],
+        {
+            "title_aux": "ComfyUI-Prediction-Boost"
+        }
+    ],
+    "https://github.com/tocubed/ComfyUI-AudioReactor": [
+        [
+            "AudioFrameTransformBeats",
+            "AudioFrameTransformShadertoy",
+            "AudioLoadPath",
+            "Shadertoy"
+        ],
+        {
+            "title_aux": "ComfyUI-AudioReactor"
+        }
+    ],
+    "https://github.com/tooldigital/ComfyUI-Yolo-Cropper": [
+        [
+            "ToolYoloCropper"
+        ],
+        {
+            "title_aux": "Easy automatic (square) image cropper using Yolo"
+        }
+    ],
+    "https://github.com/toxicwind/ComfyUI-TTools": [
+        [
+            "TTools Extract JSON",
+            "TTools SD3 Resolution Solver"
+        ],
+        {
+            "title_aux": "TTools for ComfyUI"
+        }
+    ],
+    "https://github.com/toyxyz/ComfyUI_toyxyz_test_nodes": [
+        [
+            "CaptureWebcam",
+            "Direct Screen Capture",
+            "ImageResize_Padding",
+            "LatentDelay",
+            "LoadWebcamImage",
+            "SaveImagetoPath"
+        ],
+        {
+            "title_aux": "ComfyUI_toyxyz_test_nodes"
+        }
+    ],
+    "https://github.com/traugdor/ComfyUI-quadMoons-nodes": [
+        [
+            "quadmoonCLIPTextEncode",
+            "quadmoonChangeBackground",
+            "quadmoonConvertBoolToString",
+            "quadmoonConvertFloatToString",
+            "quadmoonConvertIntToString",
+            "quadmoonConvertNormalizeHW",
+            "quadmoonConvertNumberToString",
+            "quadmoonINTConditionalOperation",
+            "quadmoonKSampler",
+            "quadmoonKSamplerAdvanced",
+            "quadmoonLoadConfigs",
+            "quadmoonModelLoader",
+            "quadmoonRotationalSampler",
+            "quadmoonSaveNeg",
+            "quadmoonSavePrompt",
+            "quadmoonSmartNeg",
+            "quadmoonSmartPrompt",
+            "quadmoonThebutton"
+        ],
+        {
+            "author": "quadmoon (https://github.com/traugdor)",
+            "description": "These are just some nodes I wanted and couldn't find where anyone else had made them yet.",
+            "nickname": "quadmoon's Nodes",
+            "title": "quadmoon's ComfyUI nodes",
+            "title_aux": "quadmoon's ComfyUI nodes"
+        }
+    ],
+    "https://github.com/tritant/ComfyUI_CreaPrompt": [
+        [
+            "CreaPrompt",
+            "CreaPrompt List",
+            "CreaPrompt_1",
+            "CreaPrompt_2",
+            "CreaPrompt_3",
+            "CreaPrompt_4"
+        ],
+        {
+            "title_aux": "ComfyUI-CreaPrompt"
+        }
+    ],
+    "https://github.com/trojblue/trNodes": [
+        [
+            "trColorCorrection",
+            "trLayering",
+            "trRouter",
+            "trRouterLonger"
+        ],
+        {
+            "title_aux": "trNodes"
+        }
+    ],
+    "https://github.com/trumanwong/ComfyUI-NSFW-Detection": [
+        [
+            "NSFWDetection"
+        ],
+        {
+            "title_aux": "ComfyUI-NSFW-Detection"
+        }
+    ],
+    "https://github.com/tsogzark/ComfyUI-load-image-from-url": [
+        [
+            "LoadImageFromUrlOrPath"
+        ],
+        {
+            "title_aux": "ComfyUI-load-image-from-url"
+        }
+    ],
+    "https://github.com/ttulttul/ComfyUI-Iterative-Mixer": [
+        [
+            "Batch Unsampler",
+            "Iterative Mixing KSampler",
+            "Iterative Mixing KSampler Advanced",
+            "IterativeMixingSampler",
+            "IterativeMixingScheduler",
+            "IterativeMixingSchedulerAdvanced",
+            "Latent Batch Comparison Plot",
+            "Latent Batch Statistics Plot",
+            "MixingMaskGenerator"
+        ],
+        {
+            "title_aux": "ComfyUI Iterative Mixing Nodes"
+        }
+    ],
+    "https://github.com/ttulttul/ComfyUI-Tensor-Operations": [
+        [
+            "Fast Image to Noise",
+            "Image Match Normalize",
+            "Latent Match Normalize"
+        ],
+        {
+            "title_aux": "ComfyUI-Tensor-Operations"
+        }
+    ],
+    "https://github.com/tudal/Hakkun-ComfyUI-nodes/raw/main/hakkun_nodes.py": [
+        [
+            "Any Converter",
+            "Calculate Upscale",
+            "Image Resize To Height",
+            "Image Resize To Width",
+            "Image size to string",
+            "Load Random Image",
+            "Load Text",
+            "Multi Text Merge",
+            "Prompt Parser",
+            "Random Line",
+            "Random Line 4"
+        ],
+        {
+            "title_aux": "Hakkun-ComfyUI-nodes"
+        }
+    ],
+    "https://github.com/tusharbhutt/Endless-Nodes": [
+        [
+            "ESS Aesthetic Scoring",
+            "ESS Combo Parameterizer",
+            "ESS Combo Parameterizer & Prompts",
+            "ESS Eight Input Text Switch",
+            "ESS Float to Integer",
+            "ESS Float to Number",
+            "ESS Float to String",
+            "ESS Float to X",
+            "ESS Image Reward",
+            "ESS Image Saver with JSON",
+            "ESS Integer to Float",
+            "ESS Integer to Number",
+            "ESS Integer to String",
+            "ESS Integer to X",
+            "ESS Number to Float",
+            "ESS Number to Integer",
+            "ESS Number to String",
+            "ESS Number to X",
+            "ESS Parameterizer",
+            "ESS Parameterizer & Prompts",
+            "ESS Six Float Output",
+            "ESS Six Input Text Switch",
+            "ESS Six Integer IO Switch",
+            "ESS Six Integer IO Widget",
+            "ESS String to Float",
+            "ESS String to Integer",
+            "ESS String to Num",
+            "ESS String to X",
+            "\u267e\ufe0f\ud83c\udf0a\u2728 Image Saver with JSON"
+        ],
+        {
+            "author": "BiffMunky",
+            "description": "A small set of nodes I created for various numerical and text inputs.  Features image saver with ability to have JSON saved to separate folder, parameter collection nodes, two aesthetic scoring models, switches for text and numbers, and conversion of string to numeric and vice versa.",
+            "nickname": "\u267e\ufe0f\ud83c\udf0a\u2728",
+            "title": "Endless \ufe0f\ud83c\udf0a\u2728 Nodes",
+            "title_aux": "Endless \ufe0f\ud83c\udf0a\u2728 Nodes"
+        }
+    ],
+    "https://github.com/twri/sdxl_prompt_styler": [
+        [
+            "SDXLPromptStyler",
+            "SDXLPromptStylerAdvanced"
+        ],
+        {
+            "title_aux": "SDXL Prompt Styler"
+        }
+    ],
+    "https://github.com/ty0x2333/ComfyUI-Dev-Utils": [
+        [
+            "TY_ExecutionTime",
+            "TY_UploadAnything",
+            "TY_UrlDownload"
+        ],
+        {
+            "title_aux": "ComfyUI-Dev-Utils"
+        }
+    ],
+    "https://github.com/uarefans/ComfyUI-Fans": [
+        [
+            "Fans Prompt Styler Negative",
+            "Fans Prompt Styler Positive",
+            "Fans Styler",
+            "Fans Text Concatenate"
+        ],
+        {
+            "title_aux": "ComfyUI-Fans"
+        }
+    ],
+    "https://github.com/uetuluk/comfyui-webcam-node": [
+        [
+            "webcam_capture_node"
+        ],
+        {
+            "title_aux": "comfyui-webcam-node"
+        }
+    ],
+    "https://github.com/un-seen/comfyui-tensorops": [
+        [
+            "BackgroundSelect",
+            "ChannelSelector",
+            "DownloadAndLoadFlorence2Model",
+            "FalDifferentialDiffusion",
+            "FalDiffusion",
+            "FetchFromRedis",
+            "FetchJsonFromSurreal",
+            "Florence2Run",
+            "ForegroundMask",
+            "MaskImage",
+            "SaveImageToS3",
+            "SaveJsonToSurreal",
+            "SaveTextToSurreal",
+            "SaveToRedis"
+        ],
+        {
+            "title_aux": "comfyui-tensorop"
+        }
+    ],
+    "https://github.com/un-seen/comfyui_segment_anything_plus": [
+        [
+            "GroundingDinoModelLoader (segment anything plus)",
+            "GroundingDinoSAMSegment (segment anything plus)",
+            "InvertMask (segment anything plus)",
+            "IsMaskEmpty  (segment anything plus)",
+            "SAMModelLoader (segment anything plus)"
+        ],
+        {
+            "title_aux": "ComfyUI Segment Anything"
+        }
+    ],
+    "https://github.com/unwdef/unwdef-nodes-comfyui": [
+        [
+            "RandomTextFromMultiline",
+            "RandomizeLoras",
+            "RandomizeLorasStack",
+            "TextMultilineWithVariables"
+        ],
+        {
+            "title_aux": "unwdef-nodes"
+        }
+    ],
+    "https://github.com/vanche1212/ComfyUI-ZMG-Nodes": [
+        [
+            "VC_Load_Video_Path_Unified_Output",
+            "VC_Load_Video_Upload_Unified_Output",
+            "VC_Video_Combine_Unified_Output",
+            "Waveform2Audio",
+            "\ud83d\ude0bAPI Request Node",
+            "\ud83d\ude0bJSON Parser Node",
+            "\ud83d\ude0bOld Photo Colorization Node",
+            "\ud83d\ude0bOllama Request Node",
+            "\ud83d\ude0bSave Image Unified Output"
+        ],
+        {
+            "title_aux": "ZMG PLUGIN"
+        }
+    ],
+    "https://github.com/vanillacode314/SimpleWildcardsComfyUI": [
+        [
+            "SimpleConcat",
+            "SimpleWildcard"
+        ],
+        {
+            "author": "VanillaCode314",
+            "description": "A simple wildcard node for ComfyUI. Can also be used a style prompt node.",
+            "nickname": "Simple Wildcard",
+            "title": "Simple Wildcard",
+            "title_aux": "Simple Wildcard"
+        }
+    ],
+    "https://github.com/var1ableX/ComfyUI_Accessories": [
+        [
+            "GetMaskDimensions"
+        ],
+        {
+            "title_aux": "ComfyUI_Accessories"
+        }
+    ],
+    "https://github.com/vault-developer/comfyui-image-blender": [
+        [
+            "ImageBlender"
+        ],
+        {
+            "title_aux": "ImageBlender"
+        }
+    ],
+    "https://github.com/veighnsche/comfyui_gr85": [
+        [
+            "GR85_ContainsWord",
+            "GR85_ElementsConcatenator",
+            "GR85_ImageDimensionResizer",
+            "GR85_ImageSizer",
+            "GR85_InsertCharacter",
+            "GR85_LlmEnhancer",
+            "GR85_NextSeed",
+            "GR85_RandomAtmLocOutfit",
+            "GR85_RandomRatio",
+            "GR85_RandomTitleCharacter",
+            "GR85_RandomWildcardTagPicker",
+            "GR85_ShowText",
+            "GR85_StrSafe",
+            "GR85_TagInjector"
+        ],
+        {
+            "title_aux": "comfyui_gr85"
+        }
+    ],
+    "https://github.com/victorchall/comfyui_webcamcapture": [
+        [
+            "WebcamCapture"
+        ],
+        {
+            "title_aux": "Comfyui Webcam capture node"
+        }
+    ],
+    "https://github.com/vienteck/ComfyUI-Chat-GPT-Integration": [
+        [
+            "ChatGptPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-Chat-GPT-Integration"
+        }
+    ],
+    "https://github.com/violet-chen/comfyui-psd2png": [
+        [
+            "Psd2Png"
+        ],
+        {
+            "title_aux": "comfyui-psd2png"
+        }
+    ],
+    "https://github.com/viperyl/ComfyUI-BiRefNet": [
+        [
+            "BiRefNet"
+        ],
+        {
+            "title_aux": "ComfyUI-BiRefNet"
+        }
+    ],
+    "https://github.com/viperyl/ComfyUI-RGT": [
+        [
+            "RGT_Upscale"
+        ],
+        {
+            "title_aux": "ComfyUI-RGT"
+        }
+    ],
+    "https://github.com/vivax3794/ComfyUI-Sub-Nodes": [
+        [
+            "VIV_Default",
+            "VIV_Subgraph",
+            "VIV_Subgraph_Inputs",
+            "VIV_Subgraph_Outputs"
+        ],
+        {
+            "title_aux": "ComfyUI-Sub-Nodes"
+        }
+    ],
+    "https://github.com/vivax3794/ComfyUI-Vivax-Nodes": [
+        [
+            "Any String",
+            "Chunk Up",
+            "Get Chunk",
+            "Inspect",
+            "Join Chunks",
+            "Model From URL"
+        ],
+        {
+            "title_aux": "ComfyUI-Vivax-Nodes"
+        }
+    ],
+    "https://github.com/vsevolod-oparin/comfyui-kandinsky22": [
+        [
+            "comfy-kandinsky22-decoder-loader",
+            "comfy-kandinsky22-hint-combiner",
+            "comfy-kandinsky22-image-encoder",
+            "comfy-kandinsky22-img-latents",
+            "comfy-kandinsky22-latents",
+            "comfy-kandinsky22-movq-decoder",
+            "comfy-kandinsky22-positive-text-encoder",
+            "comfy-kandinsky22-prior-averaging-2",
+            "comfy-kandinsky22-prior-averaging-3",
+            "comfy-kandinsky22-prior-averaging-4",
+            "comfy-kandinsky22-prior-loader",
+            "comfy-kandinsky22-text-encoder",
+            "comfy-kandinsky22-unet-decoder"
+        ],
+        {
+            "title_aux": "Kandinsky 2.2 ComfyUI Plugin"
+        }
+    ],
+    "https://github.com/vxinhao/color2rgb/raw/main/color2rgb.py": [
+        [
+            "color2RGB"
+        ],
+        {
+            "title_aux": "color2rgb"
+        }
+    ],
+    "https://github.com/wTechArtist/ComfyUI-CustomNodes": [
+        [
+            "GPT4 WWL",
+            "IPAdapter FaceID With Bool",
+            "IPAdapter Mad Scientist Weight_Type",
+            "Image Blending Mode Mask",
+            "Load Image With Bool",
+            "Load Lora With Shared"
+        ],
+        {
+            "title_aux": "ComfyUI-CustomNodes"
+        }
+    ],
+    "https://github.com/wallish77/wlsh_nodes": [
+        [
+            "Alternating KSampler (WLSH)",
+            "Build Filename String (WLSH)",
+            "CLIP +/- w/Text Unified (WLSH)",
+            "CLIP Positive-Negative (WLSH)",
+            "CLIP Positive-Negative XL (WLSH)",
+            "CLIP Positive-Negative XL w/Text (WLSH)",
+            "CLIP Positive-Negative w/Text (WLSH)",
+            "Checkpoint Loader w/Name (WLSH)",
+            "Empty Latent by Pixels (WLSH)",
+            "Empty Latent by Ratio (WLSH)",
+            "Empty Latent by Size (WLSH)",
+            "Generate Border Mask (WLSH)",
+            "Grayscale Image (WLSH)",
+            "Image Load with Metadata (WLSH)",
+            "Image Save with Prompt (WLSH)",
+            "Image Save with Prompt File (WLSH)",
+            "Image Save with Prompt/Info (WLSH)",
+            "Image Save with Prompt/Info File (WLSH)",
+            "Image Scale By Factor (WLSH)",
+            "Image Scale by Shortside (WLSH)",
+            "KSamplerAdvanced (WLSH)",
+            "Multiply Integer (WLSH)",
+            "Outpaint to Image (WLSH)",
+            "Prompt Weight (WLSH)",
+            "Quick Resolution Multiply (WLSH)",
+            "Resolutions by Ratio (WLSH)",
+            "SDXL Quick Empty Latent (WLSH)",
+            "SDXL Quick Image Scale (WLSH)",
+            "SDXL Resolutions (WLSH)",
+            "SDXL Steps (WLSH)",
+            "Save Positive Prompt(WLSH)",
+            "Save Prompt (WLSH)",
+            "Save Prompt/Info (WLSH)",
+            "Seed and Int (WLSH)",
+            "Seed to Number (WLSH)",
+            "Simple Pattern Replace (WLSH)",
+            "Simple String Combine (WLSH)",
+            "Time String (WLSH)",
+            "Upscale by Factor with Model (WLSH)",
+            "VAE Encode for Inpaint w/Padding (WLSH)"
+        ],
+        {
+            "title_aux": "wlsh_nodes"
+        }
+    ],
+    "https://github.com/web3nomad/ComfyUI_Invisible_Watermark": [
+        [
+            "InvisibleWatermarkEncode"
+        ],
+        {
+            "title_aux": "ComfyUI Invisible Watermark"
+        }
+    ],
+    "https://github.com/webfiltered/DebugNode-ComfyUI": [
+        [
+            "WTFDebugNode"
+        ],
+        {
+            "title_aux": "WTF? - a debug node for ComfyUI"
+        }
+    ],
+    "https://github.com/whatbirdisthat/cyberdolphin": [
+        [
+            "\ud83d\udc2c Gradio ChatInterface",
+            "\ud83d\udc2c OpenAI Advanced",
+            "\ud83d\udc2c OpenAI Compatible",
+            "\ud83d\udc2c OpenAI DALL\u00b7E",
+            "\ud83d\udc2c OpenAI Simple"
+        ],
+        {
+            "title_aux": "cyberdolphin"
+        }
+    ],
+    "https://github.com/whmc76/ComfyUI-Openpose-Editor-Plus": [
+        [
+            "CDL.OpenPoseEditorPlus"
+        ],
+        {
+            "title_aux": "ComfyUI-Openpose-Editor-Plus"
+        }
+    ],
+    "https://github.com/wmatson/easy-comfy-nodes": [
+        [
+            "EZAssocDictNode",
+            "EZAssocImgNode",
+            "EZAssocStrNode",
+            "EZEmptyDictNode",
+            "EZHttpPostNode",
+            "EZLoadImgBatchFromUrlsNode",
+            "EZLoadImgFromUrlNode",
+            "EZRemoveImgBackground",
+            "EZS3Uploader"
+        ],
+        {
+            "title_aux": "easy-comfy-nodes"
+        }
+    ],
+    "https://github.com/wmpmiles/ComfyUI-GTF-Utilities": [
+        [
+            "BBOX | Change",
+            "BBOX | From Mask",
+            "BBOX | Scale Area",
+            "Dimensions | Align To",
+            "Dimensions | Change",
+            "Dimensions | From GTF",
+            "Dimensions | From Raw",
+            "Dimensions | Scale",
+            "Dimensions | Scale to Megapixels",
+            "Dimensions | To Raw",
+            "GTF | Colorspace - Linear to Log",
+            "GTF | Colorspace - Log to Linear",
+            "GTF | Colorspace - SRGB Gamma to Linear",
+            "GTF | Colorspace - SRGB Linear to Gamma",
+            "GTF | Colorspace - Standard Gamma to Linear",
+            "GTF | Colorspace - Standard Linear to Gamma",
+            "GTF | Convert - Batch Max",
+            "GTF | Convert - Batch Min",
+            "GTF | Convert - Channel Max",
+            "GTF | Convert - Channel Min",
+            "GTF | Convert - Luminance",
+            "GTF | Convert - Max",
+            "GTF | Convert - Min",
+            "GTF | Filter - Binary Threshold",
+            "GTF | Filter - Convolve",
+            "GTF | Filter - Gradient NMS Mask",
+            "GTF | Filter - Hysteresis Threshold",
+            "GTF | Filter - Invert",
+            "GTF | Filter - Morphological",
+            "GTF | Filter - Patch Max",
+            "GTF | Filter - Patch Median",
+            "GTF | Filter - Patch Min",
+            "GTF | Filter - Patch Range Normalize",
+            "GTF | Filter - Quantize",
+            "GTF | Filter - Range Normalize",
+            "GTF | Filter - Sum Normalize",
+            "GTF | From Image",
+            "GTF | From Latent",
+            "GTF | From Mask",
+            "GTF | Helper - Area Window Radius",
+            "GTF | Helper - Derivative of Gaussian Area Radius",
+            "GTF | Helper - Gaussian Area Radius",
+            "GTF | Helper - Mitchell Netravali Radius",
+            "GTF | Helper - Otsu's Method",
+            "GTF | Logic - And",
+            "GTF | Logic - Equal",
+            "GTF | Logic - Greater Than",
+            "GTF | Logic - Greater Than or Equal",
+            "GTF | Logic - Less Than",
+            "GTF | Logic - Less Than or Equal",
+            "GTF | Logic - Not",
+            "GTF | Logic - Or",
+            "GTF | Logic - Xor",
+            "GTF | Math - Absolute",
+            "GTF | Math - Add",
+            "GTF | Math - Cartesian to Polar",
+            "GTF | Math - Divide",
+            "GTF | Math - Lerp",
+            "GTF | Math - Multiply",
+            "GTF | Math - Negative",
+            "GTF | Math - Polar to Cartesian",
+            "GTF | Math - Pow",
+            "GTF | Math - Reciprocal",
+            "GTF | Math - Subtract",
+            "GTF | Resample - 2D",
+            "GTF | Resample - Coords",
+            "GTF | Resample - Separable",
+            "GTF | Source - Kernel X",
+            "GTF | Source - Kernel Y",
+            "GTF | Source - One",
+            "GTF | Source - RGB",
+            "GTF | Source - Value",
+            "GTF | Source - Zero",
+            "GTF | Special - Derivative of Gaussian",
+            "GTF | Special - Gaussian",
+            "GTF | Special - Jinc",
+            "GTF | Special - Sinc",
+            "GTF | To Image",
+            "GTF | To Mask",
+            "GTF | Tonemap - ACES",
+            "GTF | Tonemap - Reinhard",
+            "GTF | Tonemap - Reinhard Extended",
+            "GTF | Tonemap - Reinhard Extended over Luminance",
+            "GTF | Tonemap - Reinhard over Luminance",
+            "GTF | Tonemap - Reinhard-Jodie",
+            "GTF | Tonemap - Reinhard-Jodie Extended",
+            "GTF | Tonemap - Uncharted 2",
+            "GTF | Transform - Batch Concatenate",
+            "GTF | Transform - Channel Concatenate",
+            "GTF | Transform - Connected Components",
+            "GTF | Transform - Crop to BBOX",
+            "GTF | Transform - Crop/Uncrop with Anchor",
+            "GTF | Transform - Flip Horizontal",
+            "GTF | Transform - Flip Vertical",
+            "GTF | Transform - Rotate 180",
+            "GTF | Transform - Rotate CCW",
+            "GTF | Transform - Rotate CW",
+            "GTF | Transform - Transpose",
+            "GTF | Transform - Uncrop from BBOX",
+            "GTF | Trig - Acos",
+            "GTF | Trig - Asin",
+            "GTF | Trig - Atan",
+            "GTF | Trig - Atan2",
+            "GTF | Trig - Cos",
+            "GTF | Trig - Hypot",
+            "GTF | Trig - Sin",
+            "GTF | Trig - Tan",
+            "GTF | Update Latent",
+            "GTF | Window - Area",
+            "GTF | Window - Boxcar",
+            "GTF | Window - Lanczos",
+            "GTF | Window - Mitchell-Netravali",
+            "GTF | Window - Triangle",
+            "Primitive | Boolean",
+            "Primitive | Float",
+            "Primitive | Integer",
+            "Primitive | String",
+            "Primitive | Text"
+        ],
+        {
+            "author": "wmpmiles",
+            "description": "TODO",
+            "nickname": "GTFU",
+            "title": "GTF Utilities",
+            "title_aux": "ComfyUI-GTF-Utilities"
+        }
+    ],
+    "https://github.com/wolfden/ComfyUi_PromptStylers": [
+        [
+            "SDXLPromptStylerAll",
+            "SDXLPromptStylerHorror",
+            "SDXLPromptStylerMisc",
+            "SDXLPromptStylerbyArtist",
+            "SDXLPromptStylerbyCamera",
+            "SDXLPromptStylerbyComposition",
+            "SDXLPromptStylerbyCyberpunkSurrealism",
+            "SDXLPromptStylerbyDepth",
+            "SDXLPromptStylerbyEnvironment",
+            "SDXLPromptStylerbyFantasySetting",
+            "SDXLPromptStylerbyFilter",
+            "SDXLPromptStylerbyFocus",
+            "SDXLPromptStylerbyImpressionism",
+            "SDXLPromptStylerbyLighting",
+            "SDXLPromptStylerbyMileHigh",
+            "SDXLPromptStylerbyMood",
+            "SDXLPromptStylerbyMythicalCreature",
+            "SDXLPromptStylerbyOriginal",
+            "SDXLPromptStylerbyQuantumRealism",
+            "SDXLPromptStylerbySteamPunkRealism",
+            "SDXLPromptStylerbySubject",
+            "SDXLPromptStylerbySurrealism",
+            "SDXLPromptStylerbyTheme",
+            "SDXLPromptStylerbyTimeofDay",
+            "SDXLPromptStylerbyWyvern",
+            "SDXLPromptbyCelticArt",
+            "SDXLPromptbyContemporaryNordicArt",
+            "SDXLPromptbyFashionArt",
+            "SDXLPromptbyGothicRevival",
+            "SDXLPromptbyIrishFolkArt",
+            "SDXLPromptbyRomanticNationalismArt",
+            "SDXLPromptbySportsArt",
+            "SDXLPromptbyStreetArt",
+            "SDXLPromptbyVikingArt",
+            "SDXLPromptbyWildlifeArt"
+        ],
+        {
+            "title_aux": "SDXL Prompt Styler (customized version by wolfden)"
+        }
+    ],
+    "https://github.com/wolfden/ComfyUi_String_Function_Tree": [
+        [
+            "StringFunction"
+        ],
+        {
+            "title_aux": "ComfyUi_String_Function_Tree"
+        }
+    ],
+    "https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler": [
+        [
+            "RungeKuttaSampler"
+        ],
+        {
+            "author": "wootwootwootwoot",
+            "description": "Batched Runge-Kutta Samplers for ComfyUI",
+            "nickname": "ComfyUI-RK-Sampler",
+            "title": "ComfyUI-RK-Sampler",
+            "title_aux": "ComfyUI-RK-Sampler"
+        }
+    ],
+    "https://github.com/wsippel/comfyui_ws/raw/main/sdxl_utility.py": [
+        [
+            "SDXLResolutionPresets"
+        ],
+        {
+            "title_aux": "SDXLResolutionPresets"
+        }
+    ],
+    "https://github.com/wujm424606/ComfyUi-Ollama-YN": [
+        [
+            "OllamaGenerate",
+            "OllamaGenerateAdvance",
+            "OllamaSpecialGenerateAdvance",
+            "OllamaVision"
+        ],
+        {
+            "title_aux": "ComfyUi-Ollama-YN"
+        }
+    ],
+    "https://github.com/wutipong/ComfyUI-TextUtils": [
+        [
+            "Text Utils - Join N-Elements of String List",
+            "Text Utils - Join String List",
+            "Text Utils - Join Strings",
+            "Text Utils - Split String to List"
+        ],
+        {
+            "title_aux": "ComfyUI-TextUtils"
+        }
+    ],
+    "https://github.com/wwwins/ComfyUI-Simple-Aspect-Ratio": [
+        [
+            "SimpleAspectRatio"
+        ],
+        {
+            "title_aux": "ComfyUI-Simple-Aspect-Ratio"
+        }
+    ],
+    "https://github.com/xXAdonesXx/NodeGPT": [
+        [
+            "AppendAgent",
+            "Assistant",
+            "Chat",
+            "ChatGPT",
+            "CombineInput",
+            "Conditioning",
+            "CostumeAgent_1",
+            "CostumeAgent_2",
+            "CostumeMaster_1",
+            "Critic",
+            "DisplayString",
+            "DisplayTextAsImage",
+            "EVAL",
+            "Engineer",
+            "Executor",
+            "GroupChat",
+            "Image_generation_Conditioning",
+            "LM_Studio",
+            "LoadAPIconfig",
+            "LoadTXT",
+            "MemGPT",
+            "Memory_Excel",
+            "Model_1",
+            "Ollama",
+            "Output2String",
+            "Planner",
+            "Scientist",
+            "TextCombine",
+            "TextGeneration",
+            "TextGenerator",
+            "TextInput",
+            "TextOutput",
+            "UserProxy",
+            "llama-cpp",
+            "llava",
+            "oobaboogaOpenAI"
+        ],
+        {
+            "title_aux": "NodeGPT"
+        }
+    ],
+    "https://github.com/xiaoxiaodesha/hd_node": [
+        [
+            "Combine HDMasks",
+            "Cover HDMasks",
+            "HD FaceIndex",
+            "HD GetMaskArea",
+            "HD Image Levels",
+            "HD SmoothEdge",
+            "HD UltimateSDUpscale"
+        ],
+        {
+            "title_aux": "hd-nodes-comfyui"
+        }
+    ],
+    "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime": [
+        [
+            "Auto-MSG-ALL",
+            "Auto-MSG-Discord-Bot",
+            "Auto-MSG-Line-Notify",
+            "Auto-MSG-Telegram-Bot"
+        ],
+        {
+            "title_aux": "ComfyUI-decadetw-auto-messaging-realtime"
+        }
+    ],
+    "https://github.com/xlinx/ComfyUI-decadetw-auto-prompt-llm": [
+        [
+            "Auto-LLM-Text",
+            "Auto-LLM-Text-Vision",
+            "Auto-LLM-Vision"
+        ],
+        {
+            "title_aux": "ComfyUI-decadetw-auto-prompt-llm"
+        }
+    ],
+    "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj": [
+        [
+            "Im-SD-VJ-SPOUT",
+            "Im-SD-VJ-SYPHON"
+        ],
+        {
+            "title_aux": "ComfyUI-decadetw-spout-syphon-im-vj"
+        }
+    ],
+    "https://github.com/xliry/ComfyUI_SendDiscord": [
+        [
+            "SendDiscord"
+        ],
+        {
+            "title_aux": "ComfyUI_SendDiscord"
+        }
+    ],
+    "https://github.com/xuhongming251/ComfyUI-GPEN": [
+        [
+            "FaceEnhancement"
+        ],
+        {
+            "title_aux": "ComfyUI-GPEN"
+        }
+    ],
+    "https://github.com/xuhongming251/ComfyUI-MuseTalkUtils": [
+        [
+            "MuseTalkPostprocess",
+            "MuseTalkPreprocess",
+            "MuseTalkTrain",
+            "MuseTalkTrainPreprocess",
+            "MuseTalkUncropMask"
+        ],
+        {
+            "title_aux": "ComfyUI-MuseTalkUtils"
+        }
+    ],
+    "https://github.com/ycchanau/ComfyUI_Preview_Magnifier": [
+        [
+            "YC.ImageComparerMagnifier",
+            "YC.PreviewImageMagnifier",
+            "YC.XYPreviewImageMagnifier"
+        ],
+        {
+            "title_aux": "ComfyUI Preview Magnifier"
+        }
+    ],
+    "https://github.com/yffyhk/comfyui_auto_danbooru": [
+        [
+            "GetDanbooru",
+            "TagEncode"
+        ],
+        {
+            "title_aux": "comfyui_auto_danbooru"
+        }
+    ],
+    "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux": [
+        [
+            "FalAPIFluxControlNetConfigNode",
+            "FalAPIFluxControlNetUnionConfigNode",
+            "FalAPIFluxLoraConfigNode",
+            "FalAPIFluxNode",
+            "FalAPIFluxNodeWithControlNet"
+        ],
+        {
+            "title_aux": "ComfyUI-Fal-API-Flux"
+        }
+    ],
+    "https://github.com/yiwangsimple/ComfyUI_DW_Chat": [
+        [
+            "DeepSeekChatNode",
+            "DeepSeekTranslator",
+            "ErrorLogNode",
+            "ExecutionTime",
+            "FileBasedChatNode",
+            "Gemini1_5Text",
+            "Gemini1_5Vision",
+            "GeminiFluxPrompt",
+            "Gemma2PromptNode",
+            "GemmaDialogueNode",
+            "GithubLinkNode",
+            "GroqChatNode",
+            "MoonshotMultiChatNode",
+            "MoonshotSingleChatNode",
+            "OllamaImageToText",
+            "OllamaPromptExtractor",
+            "OllamaTextToText",
+            "PromptExtractorNode",
+            "SD3LongCaptionerV2",
+            "SDPromptAgent",
+            "dwimage2"
+        ],
+        {
+            "title_aux": "ComfyUI_DW_Chat"
+        }
+    ],
+    "https://github.com/yolain/ComfyUI-Easy-Use": [
+        [
+            "dynamicThresholdingFull",
+            "easy LLLiteLoader",
+            "easy XYInputs: CFG Scale",
+            "easy XYInputs: Checkpoint",
+            "easy XYInputs: ControlNet",
+            "easy XYInputs: Denoise",
+            "easy XYInputs: Lora",
+            "easy XYInputs: ModelMergeBlocks",
+            "easy XYInputs: NegativeCond",
+            "easy XYInputs: NegativeCondList",
+            "easy XYInputs: PositiveCond",
+            "easy XYInputs: PositiveCondList",
+            "easy XYInputs: PromptSR",
+            "easy XYInputs: Sampler/Scheduler",
+            "easy XYInputs: Seeds++ Batch",
+            "easy XYInputs: Steps",
+            "easy XYPlot",
+            "easy XYPlotAdvanced",
+            "easy a1111Loader",
+            "easy anythingIndexSwitch",
+            "easy applyBrushNet",
+            "easy applyFooocusInpaint",
+            "easy applyInpaint",
+            "easy applyPowerPaint",
+            "easy batchAnything",
+            "easy boolean",
+            "easy cascadeKSampler",
+            "easy cascadeLoader",
+            "easy ckptNames",
+            "easy cleanGpuUsed",
+            "easy clearCacheAll",
+            "easy clearCacheKey",
+            "easy comfyLoader",
+            "easy compare",
+            "easy conditioningIndexSwitch",
+            "easy controlnetLoader",
+            "easy controlnetLoader++",
+            "easy controlnetLoaderADV",
+            "easy controlnetNames",
+            "easy controlnetStack",
+            "easy convertAnything",
+            "easy detailerFix",
+            "easy dynamiCrafterLoader",
+            "easy float",
+            "easy fluxLoader",
+            "easy forLoopEnd",
+            "easy forLoopStart",
+            "easy fullCascadeKSampler",
+            "easy fullLoader",
+            "easy fullkSampler",
+            "easy globalSeed",
+            "easy hiresFix",
+            "easy humanSegmentation",
+            "easy hunyuanDiTLoader",
+            "easy icLightApply",
+            "easy if",
+            "easy ifElse",
+            "easy imageBatchToImageList",
+            "easy imageChooser",
+            "easy imageColorMatch",
+            "easy imageConcat",
+            "easy imageCount",
+            "easy imageCropFromMask",
+            "easy imageDetailTransfer",
+            "easy imageIndexSwitch",
+            "easy imageInsetCrop",
+            "easy imageInterrogator",
+            "easy imageListToImageBatch",
+            "easy imagePixelPerfect",
+            "easy imageRatio",
+            "easy imageRemBg",
+            "easy imageSave",
+            "easy imageScaleDown",
+            "easy imageScaleDownBy",
+            "easy imageScaleDownToSize",
+            "easy imageSize",
+            "easy imageSizeByLongerSide",
+            "easy imageSizeBySide",
+            "easy imageSplitGrid",
+            "easy imageSplitList",
+            "easy imageSwitch",
+            "easy imageToBase64",
+            "easy imageToMask",
+            "easy imageUncropFromBBOX",
+            "easy imagesSplitImage",
+            "easy injectNoiseToLatent",
+            "easy instantIDApply",
+            "easy instantIDApplyADV",
+            "easy int",
+            "easy ipadapterApply",
+            "easy ipadapterApplyADV",
+            "easy ipadapterApplyEmbeds",
+            "easy ipadapterApplyEncoder",
+            "easy ipadapterApplyFaceIDKolors",
+            "easy ipadapterApplyFromParams",
+            "easy ipadapterApplyRegional",
+            "easy ipadapterStyleComposition",
+            "easy isNone",
+            "easy isSDXL",
+            "easy joinImageBatch",
+            "easy kSampler",
+            "easy kSamplerDownscaleUnet",
+            "easy kSamplerInpainting",
+            "easy kSamplerLayerDiffusion",
+            "easy kSamplerSDTurbo",
+            "easy kSamplerTiled",
+            "easy kolorsLoader",
+            "easy latentCompositeMaskedWithCond",
+            "easy latentNoisy",
+            "easy loadImageBase64",
+            "easy loraStack",
+            "easy mathFloat",
+            "easy mathInt",
+            "easy mathString",
+            "easy negative",
+            "easy outputToList",
+            "easy pipeBatchIndex",
+            "easy pipeEdit",
+            "easy pipeEditPrompt",
+            "easy pipeIn",
+            "easy pipeOut",
+            "easy pipeToBasicPipe",
+            "easy pixArtLoader",
+            "easy portraitMaster",
+            "easy poseEditor",
+            "easy positive",
+            "easy preDetailerFix",
+            "easy preMaskDetailerFix",
+            "easy preSampling",
+            "easy preSamplingAdvanced",
+            "easy preSamplingCascade",
+            "easy preSamplingCustom",
+            "easy preSamplingDynamicCFG",
+            "easy preSamplingLayerDiffusion",
+            "easy preSamplingLayerDiffusionADDTL",
+            "easy preSamplingNoiseIn",
+            "easy preSamplingSdTurbo",
+            "easy prompt",
+            "easy promptConcat",
+            "easy promptLine",
+            "easy promptList",
+            "easy promptReplace",
+            "easy pulIDApply",
+            "easy pulIDApplyADV",
+            "easy rangeFloat",
+            "easy rangeInt",
+            "easy removeLocalImage",
+            "easy samLoaderPipe",
+            "easy seed",
+            "easy showAnything",
+            "easy showLoaderSettingsNames",
+            "easy showSpentTime",
+            "easy showTensorShape",
+            "easy sliderControl",
+            "easy stableDiffusion3API",
+            "easy string",
+            "easy styleAlignedBatchAlign",
+            "easy stylesSelector",
+            "easy sv3dLoader",
+            "easy svdLoader",
+            "easy textIndexSwitch",
+            "easy textSwitch",
+            "easy ultralyticsDetectorPipe",
+            "easy unSampler",
+            "easy whileLoopEnd",
+            "easy whileLoopStart",
+            "easy wildcards",
+            "easy xyAny",
+            "easy zero123Loader"
+        ],
+        {
+            "title_aux": "ComfyUI Easy Use"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyImageSubmit": [
+        [
+            "DTSimpleSubmitImage",
+            "DTSubmitImage"
+        ],
+        {
+            "title_aux": "Comfy AI DoubTech.ai Image Sumission Node"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyLoaders": [
+        [
+            "DTCLIPLoader",
+            "DTCLIPVisionLoader",
+            "DTCheckpointLoader",
+            "DTCheckpointLoaderSimple",
+            "DTControlNetLoader",
+            "DTDiffControlNetLoader",
+            "DTDiffusersLoader",
+            "DTGLIGENLoader",
+            "DTLoadImage",
+            "DTLoadImageMask",
+            "DTLoadLatent",
+            "DTLoraLoader",
+            "DTLorasLoader",
+            "DTStyleModelLoader",
+            "DTUpscaleModelLoader",
+            "DTVAELoader",
+            "DTunCLIPCheckpointLoader"
+        ],
+        {
+            "title_aux": "Comfy UI Online Loaders"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyPromptAgent": [
+        [
+            "DTPromptAgent",
+            "DTPromptAgentString"
+        ],
+        {
+            "title_aux": "Comfy UI Prompt Agent"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyQRCodes": [
+        [
+            "QRCode"
+        ],
+        {
+            "title_aux": "Comfy UI QR Codes"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyVariables": [
+        [
+            "DTCLIPTextEncode",
+            "DTSingleLineStringVariable",
+            "DTSingleLineStringVariableNoClip",
+            "FloatVariable",
+            "IntVariable",
+            "StringFormat",
+            "StringFormatSingleLine",
+            "StringVariable"
+        ],
+        {
+            "title_aux": "Variables for Comfy UI"
+        }
+    ],
+    "https://github.com/yolanother/DTAIImageToTextNode": [
+        [
+            "DTAIImageToTextNode",
+            "DTAIImageUrlToTextNode"
+        ],
+        {
+            "title_aux": "Image to Text Node"
+        }
+    ],
+    "https://github.com/youyegit/tdxh_node_comfyui": [
+        [
+            "TdxhBoolNumber",
+            "TdxhClipVison",
+            "TdxhControlNetApply",
+            "TdxhControlNetProcessor",
+            "TdxhFloatInput",
+            "TdxhImageToSize",
+            "TdxhImageToSizeAdvanced",
+            "TdxhImg2ImgLatent",
+            "TdxhIntInput",
+            "TdxhLoraLoader",
+            "TdxhOnOrOff",
+            "TdxhReference",
+            "TdxhStringInput",
+            "TdxhStringInputTranslator"
+        ],
+        {
+            "title_aux": "tdxh_node_comfyui"
+        }
+    ],
+    "https://github.com/yuan199696/add_text_2_img": [
+        [
+            "AddText"
+        ],
+        {
+            "title_aux": "add_text_2_img"
+        }
+    ],
+    "https://github.com/yuan199696/chinese_clip_encode": [
+        [
+            "ChineseCLIPEncode"
+        ],
+        {
+            "title_aux": "chinese_clip_encode"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt": [
+        [
+            "DepthAnythingTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI Depth Anything TensorRT"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt": [
+        [
+            "DwposeTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI Dwpose TensorRT"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-PiperTTS": [
+        [
+            "PiperTTS"
+        ],
+        {
+            "title_aux": "ComfyUI PiperTTS"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Pronodes": [
+        [
+            "LoadImageFromOutputDirectoryNode",
+            "LoadYoutubeVideoNode",
+            "PreviewVHSAudioNode",
+            "SaveAndOverwriteImageNode",
+            "VHSFilenamesToPathNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Pronodes"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt": [
+        [
+            "UpscalerTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI Upscaler TensorRT"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Vsgan": [
+        [
+            "DepthAnythingTrtNode",
+            "TTSCapcutNode",
+            "UpscaleVideoTrtNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Vsgan"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Whisper": [
+        [
+            "Add Subtitles To Background",
+            "Add Subtitles To Frames",
+            "Apply Whisper",
+            "Resize Cropped Subtitles"
+        ],
+        {
+            "title_aux": "ComfyUI Whisper"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt": [
+        [
+            "YoloNasPoseTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI YoloNasPose Tensorrt"
+        }
+    ],
+    "https://github.com/yvann-ba/ComfyUI_Yvann-Nodes": [
+        [
+            "Audio Analysis | YVANN",
+            "Audio Frequency Analysis | YVANN",
+            "Show Text | YVANN"
+        ],
+        {
+            "title_aux": "ComfyUI_Yvann-Nodes"
+        }
+    ],
+    "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes": [
+        [
+            "ZwngLoadImagePathOrURL",
+            "ZwngPreviewImageAndMask",
+            "ZwngSimpleGoogleTranslater",
+            "ZwngSimplePhotoshopConnector"
+        ],
+        {
+            "title_aux": "ComfyUI_Zwng_Nodes"
+        }
+    ],
+    "https://github.com/zcfrank1st/Comfyui-Toolbox": [
+        [
+            "PreviewJson",
+            "PreviewVideo",
+            "SaveJson",
+            "TestJsonPreview"
+        ],
+        {
+            "title_aux": "Comfyui-Toolbox"
+        }
+    ],
+    "https://github.com/zcfrank1st/Comfyui-Yolov8": [
+        [
+            "Yolov8Detection",
+            "Yolov8Segmentation"
+        ],
+        {
+            "title_aux": "ComfyUI Yolov8"
+        }
+    ],
+    "https://github.com/zcfrank1st/comfyui_visual_anagrams": [
+        [
+            "VisualAnagramsAnimate",
+            "VisualAnagramsSample"
+        ],
+        {
+            "title_aux": "comfyui_visual_anagram"
+        }
+    ],
+    "https://github.com/zer0TF/cute-comfy": [
+        [
+            "Cute.Placeholder"
+        ],
+        {
+            "title_aux": "Cute Comfy"
+        }
+    ],
+    "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer": [
+        [
+            "FastStyleTransfer",
+            "NeuralStyleTransfer",
+            "TrainFastStyleTransfer"
+        ],
+        {
+            "title_aux": "ComfyUI-Fast-Style-Transfer"
+        }
+    ],
+    "https://github.com/zfkun/ComfyUI_zfkun": [
+        [
+            "ZFLoadImagePath",
+            "ZFPreviewText",
+            "ZFPreviewTextMultiline",
+            "ZFShareScreen",
+            "ZFTextTranslation"
+        ],
+        {
+            "title_aux": "ComfyUI_zfkun"
+        }
+    ],
+    "https://github.com/zhangp365/ComfyUI-utils-nodes": [
+        [
+            "CheckpointLoaderSimpleWithSwitch",
+            "ColorCorrectOfUtils",
+            "ConcatTextOfUtils",
+            "GenderControlOutput",
+            "ImageBatchOneOrMore",
+            "ImageCompositeMaskedWithSwitch",
+            "ImageConcanateOfUtils",
+            "ImageResizeTo8x",
+            "IntAndIntAddOffsetLiteral",
+            "IntMultipleAddLiteral",
+            "LoadImageMaskWithSwitch",
+            "LoadImageMaskWithoutListDir",
+            "LoadImageWithSwitch",
+            "LoadImageWithoutListDir",
+            "MaskAutoSelector",
+            "MaskFastGrow",
+            "MatchImageRatioToPreset",
+            "ModifyTextGender",
+            "SplitMask",
+            "TextPreview",
+            "UpscaleImageWithModelIfNeed"
+        ],
+        {
+            "title_aux": "zhangp365/ComfyUI-utils-nodes"
+        }
+    ],
+    "https://github.com/zhongpei/ComfyUI-InstructIR": [
+        [
+            "InstructIRProcess",
+            "LoadInstructIRModel"
+        ],
+        {
+            "title_aux": "ComfyUI for InstructIR"
+        }
+    ],
+    "https://github.com/zhuanqianfish/ComfyUI-EasyNode": [
+        [
+            "EasyCaptureNode",
+            "EasyVideoOutputNode",
+            "SendImageWebSocket"
+        ],
+        {
+            "title_aux": "EasyCaptureNode for ComfyUI"
+        }
+    ],
+    "https://github.com/zhulu111/ComfyUI_Bxb": [
+        [
+            "sdBxb",
+            "sdBxb_saveImage",
+            "sdBxb_textInput"
+        ],
+        {
+            "title_aux": "ComfyUI_Bxb"
+        }
+    ],
+    "https://github.com/zohac/ComfyUI_ZC_DrawShape": [
+        [
+            "ZcDrawShape"
+        ],
+        {
+            "author": "Zohac",
+            "description": "nodes for artists, designers and animators.",
+            "nickname": "Zc DrawShape",
+            "title": "Zc DrawShape",
+            "title_aux": "ComfyUI_ZC_DrawShape"
+        }
+    ],
+    "https://github.com/zombieyang/sd-ppp": [
+        [
+            "Get Image From Photoshop Layer",
+            "Image Times Opacity",
+            "Mask Times Opacity",
+            "Send Images To Photoshop"
+        ],
+        {
+            "title_aux": "SD-PPP"
+        }
+    ],
+    "https://raw.githubusercontent.com/throttlekitty/SDXLCustomAspectRatio/main/SDXLAspectRatio.py": [
+        [
+            "SDXLAspectRatio"
+        ],
+        {
+            "title_aux": "SDXLCustomAspectRatio"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/git_helper.py b/ComfyUI/custom_nodes/ComfyUI-Manager/git_helper.py
new file mode 100644
index 0000000000000000000000000000000000000000..85ad9dbc7649d98915ee719be500fa38f4d3e6d3
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/git_helper.py
@@ -0,0 +1,450 @@
+import subprocess
+import sys
+import os
+import traceback
+
+import git
+import configparser
+import re
+import json
+import yaml
+import requests
+from tqdm.auto import tqdm
+from git.remote import RemoteProgress
+
+
+def download_url(url, dest_folder, filename=None):
+    # Ensure the destination folder exists
+    if not os.path.exists(dest_folder):
+        os.makedirs(dest_folder)
+
+    # Extract filename from URL if not provided
+    if filename is None:
+        filename = os.path.basename(url)
+
+    # Full path to save the file
+    dest_path = os.path.join(dest_folder, filename)
+
+    # Download the file
+    response = requests.get(url, stream=True)
+    if response.status_code == 200:
+        with open(dest_path, 'wb') as file:
+            for chunk in response.iter_content(chunk_size=1024):
+                if chunk:
+                    file.write(chunk)
+    else:
+        print(f"Failed to download file from {url}")
+
+
+config_path = os.path.join(os.path.dirname(__file__), "config.ini")
+nodelist_path = os.path.join(os.path.dirname(__file__), "custom-node-list.json")
+working_directory = os.getcwd()
+
+if os.path.basename(working_directory) != 'custom_nodes':
+    print(f"WARN: This script should be executed in custom_nodes dir")
+    print(f"DBG: INFO {working_directory}")
+    print(f"DBG: INFO {sys.argv}")
+    # exit(-1)
+
+
+class GitProgress(RemoteProgress):
+    def __init__(self):
+        super().__init__()
+        self.pbar = tqdm(ascii=True)
+
+    def update(self, op_code, cur_count, max_count=None, message=''):
+        self.pbar.total = max_count
+        self.pbar.n = cur_count
+        self.pbar.pos = 0
+        self.pbar.refresh()
+
+
+def gitclone(custom_nodes_path, url, target_hash=None):
+    repo_name = os.path.splitext(os.path.basename(url))[0]
+    repo_path = os.path.join(custom_nodes_path, repo_name)
+
+    # Clone the repository from the remote URL
+    repo = git.Repo.clone_from(url, repo_path, recursive=True, progress=GitProgress())
+
+    if target_hash is not None:
+        print(f"CHECKOUT: {repo_name} [{target_hash}]")
+        repo.git.checkout(target_hash)
+            
+    repo.git.clear_cache()
+    repo.close()
+
+
+def gitcheck(path, do_fetch=False):
+    try:
+        # Fetch the latest commits from the remote repository
+        repo = git.Repo(path)
+
+        if repo.head.is_detached:
+            print("CUSTOM NODE CHECK: True")
+            return
+
+        current_branch = repo.active_branch
+        branch_name = current_branch.name
+
+        remote_name = current_branch.tracking_branch().remote_name
+        remote = repo.remote(name=remote_name)
+
+        if do_fetch:
+            remote.fetch()
+
+        # Get the current commit hash and the commit hash of the remote branch
+        commit_hash = repo.head.commit.hexsha
+        remote_commit_hash = repo.refs[f'{remote_name}/{branch_name}'].object.hexsha
+
+        # Compare the commit hashes to determine if the local repository is behind the remote repository
+        if commit_hash != remote_commit_hash:
+            # Get the commit dates
+            commit_date = repo.head.commit.committed_datetime
+            remote_commit_date = repo.refs[f'{remote_name}/{branch_name}'].object.committed_datetime
+
+            # Compare the commit dates to determine if the local repository is behind the remote repository
+            if commit_date < remote_commit_date:
+                print("CUSTOM NODE CHECK: True")
+        else:
+            print("CUSTOM NODE CHECK: False")
+    except Exception as e:
+        print(e)
+        print("CUSTOM NODE CHECK: Error")
+
+
+def switch_to_default_branch(repo):
+    show_result = repo.git.remote("show", "origin")
+    matches = re.search(r"\s*HEAD branch:\s*(.*)", show_result)
+    if matches:
+        default_branch = matches.group(1)
+        repo.git.checkout(default_branch)
+
+
+def gitpull(path):
+    # Check if the path is a git repository
+    if not os.path.exists(os.path.join(path, '.git')):
+        raise ValueError('Not a git repository')
+
+    # Pull the latest changes from the remote repository
+    repo = git.Repo(path)
+    if repo.is_dirty():
+        repo.git.stash()
+
+    commit_hash = repo.head.commit.hexsha
+    try:
+        if repo.head.is_detached:
+            switch_to_default_branch(repo)
+
+        current_branch = repo.active_branch
+        branch_name = current_branch.name
+
+        remote_name = current_branch.tracking_branch().remote_name
+        remote = repo.remote(name=remote_name)
+
+        remote.fetch()
+        remote_commit_hash = repo.refs[f'{remote_name}/{branch_name}'].object.hexsha
+
+        if commit_hash == remote_commit_hash:
+            print("CUSTOM NODE PULL: None")  # there is no update
+            repo.close()
+            return
+
+        remote.pull()
+
+        repo.git.submodule('update', '--init', '--recursive')
+        new_commit_hash = repo.head.commit.hexsha
+
+        if commit_hash != new_commit_hash:
+            print("CUSTOM NODE PULL: Success")  # update success
+        else:
+            print("CUSTOM NODE PULL: Fail")  # update fail
+    except Exception as e:
+        print(e)
+        print("CUSTOM NODE PULL: Fail")  # unknown git error
+
+    repo.close()
+
+
+def checkout_comfyui_hash(target_hash):
+    repo_path = os.path.abspath(os.path.join(working_directory, '..'))  # ComfyUI dir
+
+    repo = git.Repo(repo_path)
+    commit_hash = repo.head.commit.hexsha
+
+    if commit_hash != target_hash:
+        try:
+            print(f"CHECKOUT: ComfyUI [{target_hash}]")
+            repo.git.checkout(target_hash)
+        except git.GitCommandError as e:
+            print(f"Error checking out the ComfyUI: {str(e)}")
+
+
+def checkout_custom_node_hash(git_custom_node_infos):
+    repo_name_to_url = {}
+
+    for url in git_custom_node_infos.keys():
+        repo_name = url.split('/')[-1]
+
+        if repo_name.endswith('.git'):
+            repo_name = repo_name[:-4]
+
+        repo_name_to_url[repo_name] = url
+
+    for path in os.listdir(working_directory):
+        if path.endswith("ComfyUI-Manager"):
+            continue
+
+        fullpath = os.path.join(working_directory, path)
+
+        if os.path.isdir(fullpath):
+            is_disabled = path.endswith(".disabled")
+
+            try:
+                git_dir = os.path.join(fullpath, '.git')
+                if not os.path.exists(git_dir):
+                    continue
+
+                need_checkout = False
+                repo_name = os.path.basename(fullpath)
+
+                if repo_name.endswith('.disabled'):
+                    repo_name = repo_name[:-9]
+
+                if repo_name not in repo_name_to_url:
+                    if not is_disabled:
+                        # should be disabled
+                        print(f"DISABLE: {repo_name}")
+                        new_path = fullpath + ".disabled"
+                        os.rename(fullpath, new_path)
+                        need_checkout = False
+                else:
+                    item = git_custom_node_infos[repo_name_to_url[repo_name]]
+                    if item['disabled'] and is_disabled:
+                        pass
+                    elif item['disabled'] and not is_disabled:
+                        # disable
+                        print(f"DISABLE: {repo_name}")
+                        new_path = fullpath + ".disabled"
+                        os.rename(fullpath, new_path)
+
+                    elif not item['disabled'] and is_disabled:
+                        # enable
+                        print(f"ENABLE: {repo_name}")
+                        new_path = fullpath[:-9]
+                        os.rename(fullpath, new_path)
+                        fullpath = new_path
+                        need_checkout = True
+                    else:
+                        need_checkout = True
+
+                if need_checkout:
+                    repo = git.Repo(fullpath)
+                    commit_hash = repo.head.commit.hexsha
+
+                    if commit_hash != item['hash']:
+                        print(f"CHECKOUT: {repo_name} [{item['hash']}]")
+                        repo.git.checkout(item['hash'])
+
+            except Exception:
+                print(f"Failed to restore snapshots for the custom node '{path}'")
+
+    # clone missing
+    for k, v in git_custom_node_infos.items():
+        if not v['disabled']:
+            repo_name = k.split('/')[-1]
+            if repo_name.endswith('.git'):
+                repo_name = repo_name[:-4]
+
+            path = os.path.join(working_directory, repo_name)
+            if not os.path.exists(path):
+                print(f"CLONE: {path}")
+                gitclone(working_directory, k, v['hash'])
+
+
+def invalidate_custom_node_file(file_custom_node_infos):
+    global nodelist_path
+
+    enabled_set = set()
+    for item in file_custom_node_infos:
+        if not item['disabled']:
+            enabled_set.add(item['filename'])
+
+    for path in os.listdir(working_directory):
+        fullpath = os.path.join(working_directory, path)
+
+        if not os.path.isdir(fullpath) and fullpath.endswith('.py'):
+            if path not in enabled_set:
+                print(f"DISABLE: {path}")
+                new_path = fullpath+'.disabled'
+                os.rename(fullpath, new_path)
+
+        elif not os.path.isdir(fullpath) and fullpath.endswith('.py.disabled'):
+            path = path[:-9]
+            if path in enabled_set:
+                print(f"ENABLE: {path}")
+                new_path = fullpath[:-9]
+                os.rename(fullpath, new_path)
+
+    # download missing: just support for 'copy' style
+    py_to_url = {}
+
+    with open(nodelist_path, 'r', encoding="UTF-8") as json_file:
+        info = json.load(json_file)
+        for item in info['custom_nodes']:
+            if item['install_type'] == 'copy':
+                for url in item['files']:
+                    if url.endswith('.py'):
+                        py = url.split('/')[-1]
+                        py_to_url[py] = url
+
+        for item in file_custom_node_infos:
+            filename = item['filename']
+            if not item['disabled']:
+                target_path = os.path.join(working_directory, filename)
+
+                if not os.path.exists(target_path) and filename in py_to_url:
+                    url = py_to_url[filename]
+                    print(f"DOWNLOAD: {filename}")
+                    download_url(url, working_directory)
+
+
+def apply_snapshot(target):
+    try:
+        path = os.path.join(os.path.dirname(__file__), 'snapshots', f"{target}")
+        if os.path.exists(path):
+            if not target.endswith('.json') and not target.endswith('.yaml'):
+                print(f"Snapshot file not found: `{path}`")
+                print("APPLY SNAPSHOT: False")
+                return None
+
+            with open(path, 'r', encoding="UTF-8") as snapshot_file:
+                if target.endswith('.json'):
+                    info = json.load(snapshot_file)
+                elif target.endswith('.yaml'):
+                    info = yaml.load(snapshot_file, Loader=yaml.SafeLoader)
+                    info = info['custom_nodes']
+                else:
+                    # impossible case
+                    print("APPLY SNAPSHOT: False")
+                    return None
+
+                comfyui_hash = info['comfyui']
+                git_custom_node_infos = info['git_custom_nodes']
+                file_custom_node_infos = info['file_custom_nodes']
+
+                checkout_comfyui_hash(comfyui_hash)
+                checkout_custom_node_hash(git_custom_node_infos)
+                invalidate_custom_node_file(file_custom_node_infos)
+
+                print("APPLY SNAPSHOT: True")
+                if 'pips' in info:
+                    return info['pips']
+                else:
+                    return None
+
+        print(f"Snapshot file not found: `{path}`")
+        print("APPLY SNAPSHOT: False")
+
+        return None
+    except Exception as e:
+        print(e)
+        traceback.print_exc()
+        print("APPLY SNAPSHOT: False")
+
+        return None
+
+
+def restore_pip_snapshot(pips, options):
+    non_url = []
+    local_url = []
+    non_local_url = []
+    for k, v in pips.items():
+        if v == "":
+            non_url.append(k)
+        else:
+            if v.startswith('file:'):
+                local_url.append(v)
+            else:
+                non_local_url.append(v)
+
+    failed = []
+    if '--pip-non-url' in options:
+        # try all at once
+        res = 1
+        try:
+            res = subprocess.check_call([sys.executable, '-m', 'pip', 'install'] + non_url)
+        except:
+            pass
+
+        # fallback
+        if res != 0:
+            for x in non_url:
+                res = 1
+                try:
+                    res = subprocess.check_call([sys.executable, '-m', 'pip', 'install', x])
+                except:
+                    pass
+
+                if res != 0:
+                    failed.append(x)
+
+    if '--pip-non-local-url' in options:
+        for x in non_local_url:
+            res = 1
+            try:
+                res = subprocess.check_call([sys.executable, '-m', 'pip', 'install', x])
+            except:
+                pass
+
+            if res != 0:
+                failed.append(x)
+
+    if '--pip-local-url' in options:
+        for x in local_url:
+            res = 1
+            try:
+                res = subprocess.check_call([sys.executable, '-m', 'pip', 'install', x])
+            except:
+                pass
+
+            if res != 0:
+                failed.append(x)
+
+    print(f"Installation failed for pip packages: {failed}")
+
+
+def setup_environment():
+    config = configparser.ConfigParser()
+    config.read(config_path)
+    if 'default' in config and 'git_exe' in config['default'] and config['default']['git_exe'] != '':
+        git.Git().update_environment(GIT_PYTHON_GIT_EXECUTABLE=config['default']['git_exe'])
+
+
+setup_environment()
+
+
+try:
+    if sys.argv[1] == "--clone":
+        gitclone(sys.argv[2], sys.argv[3])
+    elif sys.argv[1] == "--check":
+        gitcheck(sys.argv[2], False)
+    elif sys.argv[1] == "--fetch":
+        gitcheck(sys.argv[2], True)
+    elif sys.argv[1] == "--pull":
+        gitpull(sys.argv[2])
+    elif sys.argv[1] == "--apply-snapshot":
+        options = set()
+        for x in sys.argv:
+            if x in ['--pip-non-url', '--pip-local-url', '--pip-non-local-url']:
+                options.add(x)
+
+        pips = apply_snapshot(sys.argv[2])
+
+        if pips and len(options) > 0:
+            restore_pip_snapshot(pips, options)
+    sys.exit(0)
+except Exception as e:
+    print(e)
+    sys.exit(-1)
+    
+    
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/github-stats.json b/ComfyUI/custom_nodes/ComfyUI-Manager/github-stats.json
new file mode 100644
index 0000000000000000000000000000000000000000..d31f8e032a6612f87d5e29844dcfc56a235e1ed7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/github-stats.json
@@ -0,0 +1,6597 @@
+{
+    "hhttps://github.com/AIFSH/DiffMorpher-ComfyUI": {
+        "stars": 13,
+        "last_update": "2024-07-17 01:24:59",
+        "author_account_age_days": 301
+    },
+    "https://github.com/0xbitches/ComfyUI-LCM": {
+        "stars": 251,
+        "last_update": "2023-11-11 21:24:33",
+        "author_account_age_days": 601
+    },
+    "https://github.com/1038lab/ComfyUI-GPT2P": {
+        "stars": 4,
+        "last_update": "2024-08-08 19:04:38",
+        "author_account_age_days": 522
+    },
+    "https://github.com/11cafe/comfyui-workspace-manager": {
+        "stars": 989,
+        "last_update": "2024-08-23 03:39:01",
+        "author_account_age_days": 274
+    },
+    "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant": {
+        "stars": 29,
+        "last_update": "2024-08-02 05:24:19",
+        "author_account_age_days": 195
+    },
+    "https://github.com/11dogzi/Comfyui-ergouzi-Nodes": {
+        "stars": 43,
+        "last_update": "2024-08-23 12:04:09",
+        "author_account_age_days": 195
+    },
+    "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan": {
+        "stars": 27,
+        "last_update": "2024-08-23 00:36:39",
+        "author_account_age_days": 195
+    },
+    "https://github.com/11dogzi/Comfyui-ergouzi-samplers": {
+        "stars": 23,
+        "last_update": "2024-06-28 05:28:05",
+        "author_account_age_days": 195
+    },
+    "https://github.com/1mckw/Comfyui-Gelbooru": {
+        "stars": 3,
+        "last_update": "2024-08-08 08:38:19",
+        "author_account_age_days": 760
+    },
+    "https://github.com/2kpr/ComfyUI-UltraPixel": {
+        "stars": 212,
+        "last_update": "2024-07-27 14:52:10",
+        "author_account_age_days": 989
+    },
+    "https://github.com/42lux/ComfyUI-safety-checker": {
+        "stars": 25,
+        "last_update": "2024-05-22 22:11:59",
+        "author_account_age_days": 3768
+    },
+    "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner": {
+        "stars": 22,
+        "last_update": "2024-06-13 05:51:56",
+        "author_account_age_days": 484
+    },
+    "https://github.com/45uee/ComfyUI-Color_Transfer": {
+        "stars": 1,
+        "last_update": "2024-09-01 20:27:52",
+        "author_account_age_days": 2373
+    },
+    "https://github.com/54rt1n/ComfyUI-DareMerge": {
+        "stars": 60,
+        "last_update": "2024-08-01 15:28:19",
+        "author_account_age_days": 4120
+    },
+    "https://github.com/807502278/ComfyUI-3D-MeshTool": {
+        "stars": 11,
+        "last_update": "2024-08-22 07:18:28",
+        "author_account_age_days": 2083
+    },
+    "https://github.com/80sVectorz/ComfyUI-Static-Primitives": {
+        "stars": 11,
+        "last_update": "2024-08-07 11:21:06",
+        "author_account_age_days": 1540
+    },
+    "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp": {
+        "stars": 1,
+        "last_update": "2024-05-23 00:26:10",
+        "author_account_age_days": 542
+    },
+    "https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE": {
+        "stars": 7,
+        "last_update": "2024-06-02 14:57:59",
+        "author_account_age_days": 542
+    },
+    "https://github.com/AARG-FAN/Image-Raster-for-ComfyUI": {
+        "stars": 89,
+        "last_update": "2024-06-23 14:56:16",
+        "author_account_age_days": 569
+    },
+    "https://github.com/AI2lab/comfyUI-DeepSeek-2lab": {
+        "stars": 5,
+        "last_update": "2024-08-01 15:14:01",
+        "author_account_age_days": 262
+    },
+    "https://github.com/AI2lab/comfyUI-siliconflow-api-2lab": {
+        "stars": 4,
+        "last_update": "2024-08-01 15:13:33",
+        "author_account_age_days": 262
+    },
+    "https://github.com/AI2lab/comfyUI-tool-2lab": {
+        "stars": 19,
+        "last_update": "2024-08-25 11:59:09",
+        "author_account_age_days": 262
+    },
+    "https://github.com/AIFSH/AniTalker-ComfyUI": {
+        "stars": 5,
+        "last_update": "2024-08-06 03:08:44",
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+    "https://github.com/yuvraj108c/ComfyUI-Vsgan": {
+        "stars": 2,
+        "last_update": "2024-05-22 23:17:02",
+        "author_account_age_days": 2222
+    },
+    "https://github.com/yuvraj108c/ComfyUI-Whisper": {
+        "stars": 64,
+        "last_update": "2024-08-06 05:31:10",
+        "author_account_age_days": 2222
+    },
+    "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt": {
+        "stars": 8,
+        "last_update": "2024-06-28 15:59:14",
+        "author_account_age_days": 2222
+    },
+    "https://github.com/yvann-ba/ComfyUI_Yvann-Nodes": {
+        "stars": 3,
+        "last_update": "2024-09-01 21:58:30",
+        "author_account_age_days": 969
+    },
+    "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes": {
+        "stars": 4,
+        "last_update": "2024-07-31 13:52:30",
+        "author_account_age_days": 658
+    },
+    "https://github.com/zcfrank1st/Comfyui-Toolbox": {
+        "stars": 5,
+        "last_update": "2024-05-22 22:08:07",
+        "author_account_age_days": 4485
+    },
+    "https://github.com/zcfrank1st/Comfyui-Yolov8": {
+        "stars": 19,
+        "last_update": "2024-06-14 07:08:40",
+        "author_account_age_days": 4485
+    },
+    "https://github.com/zcfrank1st/comfyui_visual_anagrams": {
+        "stars": 5,
+        "last_update": "2024-06-14 07:07:27",
+        "author_account_age_days": 4485
+    },
+    "https://github.com/zer0TF/cute-comfy": {
+        "stars": 31,
+        "last_update": "2024-05-22 21:18:53",
+        "author_account_age_days": 2740
+    },
+    "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer": {
+        "stars": 66,
+        "last_update": "2024-08-15 03:56:51",
+        "author_account_age_days": 2513
+    },
+    "https://github.com/zfkun/ComfyUI_zfkun": {
+        "stars": 19,
+        "last_update": "2024-05-27 11:21:51",
+        "author_account_age_days": 4933
+    },
+    "https://github.com/zhangp365/ComfyUI-utils-nodes": {
+        "stars": 14,
+        "last_update": "2024-08-20 07:11:36",
+        "author_account_age_days": 361
+    },
+    "https://github.com/zhongpei/ComfyUI-InstructIR": {
+        "stars": 63,
+        "last_update": "2024-05-22 23:19:43",
+        "author_account_age_days": 3529
+    },
+    "https://github.com/zhongpei/Comfyui_image2prompt": {
+        "stars": 273,
+        "last_update": "2024-05-22 23:19:30",
+        "author_account_age_days": 3529
+    },
+    "https://github.com/zhuanqianfish/ComfyUI-EasyNode": {
+        "stars": 61,
+        "last_update": "2024-06-14 07:10:18",
+        "author_account_age_days": 4305
+    },
+    "https://github.com/zhulu111/ComfyUI_Bxb": {
+        "stars": 928,
+        "last_update": "2024-08-20 12:57:42",
+        "author_account_age_days": 109
+    },
+    "https://github.com/zohac/ComfyUI_ZC_DrawShape": {
+        "stars": 3,
+        "last_update": "2024-06-25 15:05:28",
+        "author_account_age_days": 2731
+    },
+    "https://github.com/zombieyang/sd-ppp": {
+        "stars": 108,
+        "last_update": "2024-08-27 12:00:19",
+        "author_account_age_days": 3987
+    }
+}
\ No newline at end of file
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diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/glob/cm_global.py b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/cm_global.py
new file mode 100644
index 0000000000000000000000000000000000000000..4041bcb6d0b72d7c802a01274971a3be03e87bbb
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/cm_global.py
@@ -0,0 +1,112 @@
+import traceback
+
+#
+# Global Var
+#
+# Usage:
+#   import cm_global
+#   cm_global.variables['comfyui.revision'] = 1832
+#   print(f"log mode: {cm_global.variables['logger.enabled']}")
+#
+variables = {}
+
+
+#
+# Global API
+#
+# Usage:
+# [register API]
+#   import cm_global
+#
+#   def api_hello(msg):
+#       print(f"hello: {msg}")
+#       return msg
+#
+#   cm_global.register_api('hello', api_hello)
+#
+# [use API]
+#   import cm_global
+#
+#   test = cm_global.try_call(api='hello', msg='an example')
+#   print(f"'{test}' is returned")
+#
+
+APIs = {}
+
+
+def register_api(k, f):
+    global APIs
+    APIs[k] = f
+
+
+def try_call(**kwargs):
+    if 'api' in kwargs:
+        api_name = kwargs['api']
+        try:
+            api = APIs.get(api_name)
+            if api is not None:
+                del kwargs['api']
+                return api(**kwargs)
+            else:
+                print(f"WARN: The '{kwargs['api']}' API has not been registered.")
+        except Exception as e:
+            print(f"ERROR: An exception occurred while calling the '{api_name}' API.")
+            raise e
+    else:
+        return None
+
+
+#
+# Extension Info
+#
+# Usage:
+#   import cm_global
+#
+#   cm_global.extension_infos['my_extension'] = {'version': [0, 1], 'name': 'me', 'description': 'example extension', }
+#
+extension_infos = {}
+
+on_extension_registered_handlers = {}
+
+
+def register_extension(extension_name, v):
+    global extension_infos
+    global on_extension_registered_handlers
+    extension_infos[extension_name] = v
+
+    if extension_name in on_extension_registered_handlers:
+        for k, f in on_extension_registered_handlers[extension_name]:
+            try:
+                f(extension_name, v)
+            except Exception:
+                print(f"[ERROR] '{k}' on_extension_registered_handlers")
+                traceback.print_exc()
+
+        del on_extension_registered_handlers[extension_name]
+
+
+def add_on_extension_registered(k, extension_name, f):
+    global on_extension_registered_handlers
+    if extension_name in extension_infos:
+        try:
+            v = extension_infos[extension_name]
+            f(extension_name, v)
+        except Exception:
+            print(f"[ERROR] '{k}' on_extension_registered_handler")
+            traceback.print_exc()
+    else:
+        if extension_name not in on_extension_registered_handlers:
+            on_extension_registered_handlers[extension_name] = []
+
+        on_extension_registered_handlers[extension_name].append((k, f))
+
+
+def add_on_revision_detected(k, f):
+    if 'comfyui.revision' in variables:
+        try:
+            f(variables['comfyui.revision'])
+        except Exception:
+            print(f"[ERROR] '{k}' on_revision_detected_handler")
+            traceback.print_exc()
+    else:
+        variables['cm.on_revision_detected_handler'].append((k, f))
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_core.py b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_core.py
new file mode 100644
index 0000000000000000000000000000000000000000..0e7400bf3442fe37722aa9c9152a8f99b8b51b16
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_core.py
@@ -0,0 +1,1238 @@
+import os
+import sys
+import subprocess
+import re
+import shutil
+import configparser
+import platform
+from datetime import datetime
+import git
+from git.remote import RemoteProgress
+from urllib.parse import urlparse
+from tqdm.auto import tqdm
+import aiohttp
+import threading
+import json
+import time
+import yaml
+import zipfile
+
+glob_path = os.path.join(os.path.dirname(__file__))  # ComfyUI-Manager/glob
+sys.path.append(glob_path)
+
+import cm_global
+from manager_util import *
+
+version = [2, 50, 3]
+version_str = f"V{version[0]}.{version[1]}" + (f'.{version[2]}' if len(version) > 2 else '')
+
+
+comfyui_manager_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
+custom_nodes_path = os.path.abspath(os.path.join(comfyui_manager_path, '..'))
+
+comfy_path = os.environ.get('COMFYUI_PATH')
+if comfy_path is None:
+    comfy_path = os.path.abspath(os.path.join(custom_nodes_path, '..'))
+
+channel_list_path = os.path.join(comfyui_manager_path, 'channels.list')
+config_path = os.path.join(comfyui_manager_path, "config.ini")
+startup_script_path = os.path.join(comfyui_manager_path, "startup-scripts")
+git_script_path = os.path.join(comfyui_manager_path, "git_helper.py")
+cache_dir = os.path.join(comfyui_manager_path, '.cache')
+cached_config = None
+js_path = None
+
+comfy_ui_required_revision = 1930
+comfy_ui_required_commit_datetime = datetime(2024, 1, 24, 0, 0, 0)
+
+comfy_ui_revision = "Unknown"
+comfy_ui_commit_datetime = datetime(1900, 1, 1, 0, 0, 0)
+
+
+cache_lock = threading.Lock()
+
+
+channel_dict = None
+channel_list = None
+pip_map = None
+
+
+def remap_pip_package(pkg):
+    if pkg in cm_global.pip_overrides:
+        res = cm_global.pip_overrides[pkg]
+        print(f"[ComfyUI-Manager] '{pkg}' is remapped to '{res}'")
+        return res
+    else:
+        return pkg
+
+
+def get_installed_packages():
+    global pip_map
+
+    if pip_map is None:
+        try:
+            result = subprocess.check_output([sys.executable, '-m', 'pip', 'list'], universal_newlines=True)
+
+            pip_map = {}
+            for line in result.split('\n'):
+                x = line.strip()
+                if x:
+                    y = line.split()
+                    if y[0] == 'Package' or y[0].startswith('-'):
+                        continue
+
+                    pip_map[y[0]] = y[1]
+        except subprocess.CalledProcessError as e:
+            print(f"[ComfyUI-Manager] Failed to retrieve the information of installed pip packages.")
+            return set()
+
+    return pip_map
+
+
+def clear_pip_cache():
+    global pip_map
+    pip_map = None
+
+
+def is_blacklisted(name):
+    name = name.strip()
+
+    pattern = r'([^<>!=]+)([<>!=]=?)([^ ]*)'
+    match = re.search(pattern, name)
+
+    if match:
+        name = match.group(1)
+
+    if name in cm_global.pip_blacklist:
+        return True
+
+    if name in cm_global.pip_downgrade_blacklist:
+        pips = get_installed_packages()
+
+        if match is None:
+            if name in pips:
+                return True
+        elif match.group(2) in ['<=', '==', '<']:
+            if name in pips:
+                if StrictVersion(pips[name]) >= StrictVersion(match.group(3)):
+                    return True
+
+    return False
+
+
+def is_installed(name):
+    name = name.strip()
+
+    if name.startswith('#'):
+        return True
+
+    pattern = r'([^<>!=]+)([<>!=]=?)([0-9.a-zA-Z]*)'
+    match = re.search(pattern, name)
+
+    if match:
+        name = match.group(1)
+
+    if name in cm_global.pip_blacklist:
+        return True
+
+    if name in cm_global.pip_downgrade_blacklist:
+        pips = get_installed_packages()
+
+        if match is None:
+            if name in pips:
+                return True
+        elif match.group(2) in ['<=', '==', '<']:
+            if name in pips:
+                if StrictVersion(pips[name]) >= StrictVersion(match.group(3)):
+                    print(f"[ComfyUI-Manager] skip black listed pip installation: '{name}'")
+                    return True
+
+    return name.lower() in get_installed_packages()
+
+
+def get_channel_dict():
+    global channel_dict
+
+    if channel_dict is None:
+        channel_dict = {}
+
+        if not os.path.exists(channel_list_path):
+            shutil.copy(channel_list_path+'.template', channel_list_path)
+
+        with open(os.path.join(comfyui_manager_path, 'channels.list'), 'r') as file:
+            channels = file.read()
+            for x in channels.split('\n'):
+                channel_info = x.split("::")
+                if len(channel_info) == 2:
+                    channel_dict[channel_info[0]] = channel_info[1]
+
+    return channel_dict
+
+
+def get_channel_list():
+    global channel_list
+
+    if channel_list is None:
+        channel_list = []
+        for k, v in get_channel_dict().items():
+            channel_list.append(f"{k}::{v}")
+
+    return channel_list
+
+
+class ManagerFuncs:
+    def __init__(self):
+        pass
+
+    def get_current_preview_method(self):
+        return "none"
+
+    def run_script(self, cmd, cwd='.'):
+        if len(cmd) > 0 and cmd[0].startswith("#"):
+            print(f"[ComfyUI-Manager] Unexpected behavior: `{cmd}`")
+            return 0
+
+        new_env = os.environ.copy()
+        new_env["COMFYUI_PATH"] = comfy_path
+        subprocess.check_call(cmd, cwd=cwd, env=new_env)
+
+        return 0
+
+
+manager_funcs = ManagerFuncs()
+
+
+def write_config():
+    config = configparser.ConfigParser()
+    config['default'] = {
+        'preview_method': manager_funcs.get_current_preview_method(),
+        'badge_mode': get_config()['badge_mode'],
+        'git_exe':  get_config()['git_exe'],
+        'channel_url': get_config()['channel_url'],
+        'share_option': get_config()['share_option'],
+        'bypass_ssl': get_config()['bypass_ssl'],
+        "file_logging": get_config()['file_logging'],
+        'default_ui': get_config()['default_ui'],
+        'component_policy': get_config()['component_policy'],
+        'double_click_policy': get_config()['double_click_policy'],
+        'windows_selector_event_loop_policy': get_config()['windows_selector_event_loop_policy'],
+        'model_download_by_agent': get_config()['model_download_by_agent'],
+        'downgrade_blacklist': get_config()['downgrade_blacklist'],
+        'security_level': get_config()['security_level'],
+    }
+    with open(config_path, 'w') as configfile:
+        config.write(configfile)
+
+
+def read_config():
+    try:
+        config = configparser.ConfigParser()
+        config.read(config_path)
+        default_conf = config['default']
+
+        # policy migration: disable_unsecure_features -> security_level
+        if 'disable_unsecure_features' in default_conf:
+            if default_conf['disable_unsecure_features'].lower() == 'true':
+                security_level = 'strong'
+            else:
+                security_level = 'normal'
+        else:
+            security_level = default_conf['security_level'] if 'security_level' in default_conf else 'normal'
+
+        return {
+                    'preview_method': default_conf['preview_method'] if 'preview_method' in default_conf else manager_funcs.get_current_preview_method(),
+                    'badge_mode': default_conf['badge_mode'] if 'badge_mode' in default_conf else 'none',
+                    'git_exe': default_conf['git_exe'] if 'git_exe' in default_conf else '',
+                    'channel_url': default_conf['channel_url'] if 'channel_url' in default_conf else 'https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main',
+                    'share_option': default_conf['share_option'] if 'share_option' in default_conf else 'all',
+                    'bypass_ssl': default_conf['bypass_ssl'].lower() == 'true' if 'bypass_ssl' in default_conf else False,
+                    'file_logging': default_conf['file_logging'].lower() == 'true' if 'file_logging' in default_conf else True,
+                    'default_ui': default_conf['default_ui'] if 'default_ui' in default_conf else 'none',
+                    'component_policy': default_conf['component_policy'] if 'component_policy' in default_conf else 'workflow',
+                    'double_click_policy': default_conf['double_click_policy'] if 'double_click_policy' in default_conf else 'copy-all',
+                    'windows_selector_event_loop_policy': default_conf['windows_selector_event_loop_policy'].lower() == 'true' if 'windows_selector_event_loop_policy' in default_conf else False,
+                    'model_download_by_agent': default_conf['model_download_by_agent'].lower() == 'true' if 'model_download_by_agent' in default_conf else False,
+                    'downgrade_blacklist': default_conf['downgrade_blacklist'] if 'downgrade_blacklist' in default_conf else '',
+                    'security_level': security_level
+               }
+
+    except Exception:
+        return {
+            'preview_method': manager_funcs.get_current_preview_method(),
+            'badge_mode': 'none',
+            'git_exe': '',
+            'channel_url': 'https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main',
+            'share_option': 'all',
+            'bypass_ssl': False,
+            'file_logging': True,
+            'default_ui': 'none',
+            'component_policy': 'workflow',
+            'double_click_policy': 'copy-all',
+            'windows_selector_event_loop_policy': False,
+            'model_download_by_agent': False,
+            'downgrade_blacklist': '',
+            'security_level': 'normal',
+        }
+
+
+def get_config():
+    global cached_config
+
+    if cached_config is None:
+        cached_config = read_config()
+
+    return cached_config
+
+
+def switch_to_default_branch(repo):
+    show_result = repo.git.remote("show", "origin")
+    matches = re.search(r"\s*HEAD branch:\s*(.*)", show_result)
+    if matches:
+        default_branch = matches.group(1)
+        repo.git.checkout(default_branch)
+
+
+def try_install_script(url, repo_path, install_cmd, instant_execution=False):
+    if not instant_execution and ((len(install_cmd) > 0 and install_cmd[0].startswith('#')) or (platform.system() == "Windows" and comfy_ui_commit_datetime.date() >= comfy_ui_required_commit_datetime.date())):
+        if not os.path.exists(startup_script_path):
+            os.makedirs(startup_script_path)
+
+        script_path = os.path.join(startup_script_path, "install-scripts.txt")
+        with open(script_path, "a") as file:
+            obj = [repo_path] + install_cmd
+            file.write(f"{obj}\n")
+
+        return True
+    else:
+        if len(install_cmd) == 5 and install_cmd[2:4] == ['pip', 'install']:
+            if is_blacklisted(install_cmd[4]):
+                print(f"[ComfyUI-Manager] skip black listed pip installation: '{install_cmd[4]}'")
+                return True
+
+        print(f"\n## ComfyUI-Manager: EXECUTE => {install_cmd}")
+        code = manager_funcs.run_script(install_cmd, cwd=repo_path)
+
+        if platform.system() != "Windows":
+            try:
+                if comfy_ui_commit_datetime.date() < comfy_ui_required_commit_datetime.date():
+                    print("\n\n###################################################################")
+                    print(f"[WARN] ComfyUI-Manager: Your ComfyUI version ({comfy_ui_revision})[{comfy_ui_commit_datetime.date()}] is too old. Please update to the latest version.")
+                    print(f"[WARN] The extension installation feature may not work properly in the current installed ComfyUI version on Windows environment.")
+                    print("###################################################################\n\n")
+            except:
+                pass
+
+        if code != 0:
+            if url is None:
+                url = os.path.dirname(repo_path)
+            print(f"install script failed: {url}")
+            return False
+
+
+# use subprocess to avoid file system lock by git (Windows)
+def __win_check_git_update(path, do_fetch=False, do_update=False):
+    if do_fetch:
+        command = [sys.executable, git_script_path, "--fetch", path]
+    elif do_update:
+        command = [sys.executable, git_script_path, "--pull", path]
+    else:
+        command = [sys.executable, git_script_path, "--check", path]
+
+    new_env = os.environ.copy()
+    new_env["COMFYUI_PATH"] = comfy_path
+    process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=custom_nodes_path)
+    output, _ = process.communicate()
+    output = output.decode('utf-8').strip()
+
+    if 'detected dubious' in output:
+        # fix and try again
+        safedir_path = path.replace('\\', '/')
+        try:
+            print(f"[ComfyUI-Manager] Try fixing 'dubious repository' error on '{safedir_path}' repo")
+            process = subprocess.Popen(['git', 'config', '--global', '--add', 'safe.directory', safedir_path], env=new_env, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+            output, _ = process.communicate()
+
+            process = subprocess.Popen(command, env=new_env, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+            output, _ = process.communicate()
+            output = output.decode('utf-8').strip()
+        except Exception:
+            print(f'[ComfyUI-Manager] failed to fixing')
+
+        if 'detected dubious' in output:
+            print(f'\n[ComfyUI-Manager] Failed to fixing repository setup. Please execute this command on cmd: \n'
+                  f'-----------------------------------------------------------------------------------------\n'
+                  f'git config --global --add safe.directory "{safedir_path}"\n'
+                  f'-----------------------------------------------------------------------------------------\n')
+
+    if do_update:
+        if "CUSTOM NODE PULL: Success" in output:
+            process.wait()
+            print(f"\rUpdated: {path}")
+            return True, True    # updated
+        elif "CUSTOM NODE PULL: None" in output:
+            process.wait()
+            return False, True   # there is no update
+        else:
+            print(f"\rUpdate error: {path}")
+            process.wait()
+            return False, False  # update failed
+    else:
+        if "CUSTOM NODE CHECK: True" in output:
+            process.wait()
+            return True, True
+        elif "CUSTOM NODE CHECK: False" in output:
+            process.wait()
+            return False, True
+        else:
+            print(f"\rFetch error: {path}")
+            print(f"\n{output}\n")
+            process.wait()
+            return False, True
+
+
+def __win_check_git_pull(path):
+    new_env = os.environ.copy()
+    new_env["COMFYUI_PATH"] = comfy_path
+    command = [sys.executable, git_script_path, "--pull", path]
+    process = subprocess.Popen(command, env=new_env, cwd=custom_nodes_path)
+    process.wait()
+
+
+def execute_install_script(url, repo_path, lazy_mode=False, instant_execution=False):
+    install_script_path = os.path.join(repo_path, "install.py")
+    requirements_path = os.path.join(repo_path, "requirements.txt")
+
+    if lazy_mode:
+        install_cmd = ["#LAZY-INSTALL-SCRIPT",  sys.executable]
+        try_install_script(url, repo_path, install_cmd)
+    else:
+        if os.path.exists(requirements_path):
+            print("Install: pip packages")
+            with open(requirements_path, "r") as requirements_file:
+                for line in requirements_file:
+                    #handle comments
+                    if '#' in line:
+                        if line.strip()[0] == '#':
+                            print("Line is comment...skipping")
+                            continue
+                        else:
+                            line = line.split('#')[0].strip()
+
+                    package_name = remap_pip_package(line.strip())
+
+                    if package_name and not package_name.startswith('#'):
+                        if '--index-url' in package_name:
+                            s = package_name.split('--index-url')
+                            install_cmd = [sys.executable, "-m", "pip", "install", s[0].strip(), '--index-url', s[1].strip()]
+                        else:
+                            install_cmd = [sys.executable, "-m", "pip", "install", package_name]
+
+                        if package_name.strip() != "" and not package_name.startswith('#'):
+                            try_install_script(url, repo_path, install_cmd, instant_execution=instant_execution)
+
+        if os.path.exists(install_script_path):
+            print(f"Install: install script")
+            install_cmd = [sys.executable, "install.py"]
+            try_install_script(url, repo_path, install_cmd, instant_execution=instant_execution)
+
+    return True
+
+
+def git_repo_has_updates(path, do_fetch=False, do_update=False):
+    if do_fetch:
+        print(f"\x1b[2K\rFetching: {path}", end='')
+    elif do_update:
+        print(f"\x1b[2K\rUpdating: {path}", end='')
+
+    # Check if the path is a git repository
+    if not os.path.exists(os.path.join(path, '.git')):
+        raise ValueError('Not a git repository')
+
+    if platform.system() == "Windows":
+        updated, success = __win_check_git_update(path, do_fetch, do_update)
+        if updated and success:
+            execute_install_script(None, path, lazy_mode=True)
+        return updated, success
+    else:
+        # Fetch the latest commits from the remote repository
+        repo = git.Repo(path)
+
+        current_branch = repo.active_branch
+        branch_name = current_branch.name
+
+        remote_name = 'origin'
+        remote = repo.remote(name=remote_name)
+
+        # Get the current commit hash
+        commit_hash = repo.head.commit.hexsha
+
+        if do_fetch or do_update:
+            remote.fetch()
+
+        if do_update:
+            if repo.head.is_detached:
+                switch_to_default_branch(repo)
+
+            remote_commit_hash = repo.refs[f'{remote_name}/{branch_name}'].object.hexsha
+
+            if commit_hash == remote_commit_hash:
+                repo.close()
+                return False, True
+
+            try:
+                remote.pull()
+                repo.git.submodule('update', '--init', '--recursive')
+                new_commit_hash = repo.head.commit.hexsha
+
+                if commit_hash != new_commit_hash:
+                    execute_install_script(None, path)
+                    print(f"\x1b[2K\rUpdated: {path}")
+                    return True, True
+                else:
+                    return False, False
+
+            except Exception as e:
+                print(f"\nUpdating failed: {path}\n{e}", file=sys.stderr)
+                return False, False
+
+        if repo.head.is_detached:
+            repo.close()
+            return True, True
+
+        # Get commit hash of the remote branch
+        current_branch = repo.active_branch
+        branch_name = current_branch.name
+
+        remote_commit_hash = repo.refs[f'{remote_name}/{branch_name}'].object.hexsha
+
+        # Compare the commit hashes to determine if the local repository is behind the remote repository
+        if commit_hash != remote_commit_hash:
+            # Get the commit dates
+            commit_date = repo.head.commit.committed_datetime
+            remote_commit_date = repo.refs[f'{remote_name}/{branch_name}'].object.committed_datetime
+
+            # Compare the commit dates to determine if the local repository is behind the remote repository
+            if commit_date < remote_commit_date:
+                repo.close()
+                return True, True
+
+        repo.close()
+
+    return False, True
+
+
+class GitProgress(RemoteProgress):
+    def __init__(self):
+        super().__init__()
+        self.pbar = tqdm()
+
+    def update(self, op_code, cur_count, max_count=None, message=''):
+        self.pbar.total = max_count
+        self.pbar.n = cur_count
+        self.pbar.pos = 0
+        self.pbar.refresh()
+
+
+def is_valid_url(url):
+    try:
+        # Check for HTTP/HTTPS URL format
+        result = urlparse(url)
+        if all([result.scheme, result.netloc]):
+            return True
+    finally:
+        # Check for SSH git URL format
+        pattern = re.compile(r"^(.+@|ssh:\/\/).+:.+$")
+        if pattern.match(url):
+            return True
+    return False
+
+
+def gitclone_install(files, instant_execution=False, msg_prefix=''):
+    print(f"{msg_prefix}Install: {files}")
+    for url in files:
+        if not is_valid_url(url):
+            print(f"Invalid git url: '{url}'")
+            return False
+
+        if url.endswith("/"):
+            url = url[:-1]
+        try:
+            print(f"Download: git clone '{url}'")
+            repo_name = os.path.splitext(os.path.basename(url))[0]
+            repo_path = os.path.join(custom_nodes_path, repo_name)
+
+            # Clone the repository from the remote URL
+            if not instant_execution and platform.system() == 'Windows':
+                res = manager_funcs.run_script([sys.executable, git_script_path, "--clone", custom_nodes_path, url], cwd=custom_nodes_path)
+                if res != 0:
+                    return False
+            else:
+                repo = git.Repo.clone_from(url, repo_path, recursive=True, progress=GitProgress())
+                repo.git.clear_cache()
+                repo.close()
+
+            if not execute_install_script(url, repo_path, instant_execution=instant_execution):
+                return False
+
+        except Exception as e:
+            print(f"Install(git-clone) error: {url} / {e}", file=sys.stderr)
+            return False
+
+    print("Installation was successful.")
+    return True
+
+
+def git_pull(path):
+    # Check if the path is a git repository
+    if not os.path.exists(os.path.join(path, '.git')):
+        raise ValueError('Not a git repository')
+
+    # Pull the latest changes from the remote repository
+    if platform.system() == "Windows":
+        return __win_check_git_pull(path)
+    else:
+        repo = git.Repo(path)
+
+        if repo.is_dirty():
+            repo.git.stash()
+
+        if repo.head.is_detached:
+            switch_to_default_branch(repo)
+
+        current_branch = repo.active_branch
+        remote_name = current_branch.tracking_branch().remote_name
+        remote = repo.remote(name=remote_name)
+
+        remote.pull()
+        repo.git.submodule('update', '--init', '--recursive')
+
+        repo.close()
+
+    return True
+
+
+async def get_data(uri, silent=False):
+    if not silent:
+        print(f"FETCH DATA from: {uri}", end="")
+
+    if uri.startswith("http"):
+        async with aiohttp.ClientSession(trust_env=True, connector=aiohttp.TCPConnector(verify_ssl=False)) as session:
+            async with session.get(uri) as resp:
+                json_text = await resp.text()
+    else:
+        with cache_lock:
+            with open(uri, "r", encoding="utf-8") as f:
+                json_text = f.read()
+
+    json_obj = json.loads(json_text)
+    if not silent:
+        print(f" [DONE]")
+    return json_obj
+
+
+def simple_hash(input_string):
+    hash_value = 0
+    for char in input_string:
+        hash_value = (hash_value * 31 + ord(char)) % (2**32)
+
+    return hash_value
+
+
+def is_file_created_within_one_day(file_path):
+    if not os.path.exists(file_path):
+        return False
+
+    file_creation_time = os.path.getctime(file_path)
+    current_time = datetime.now().timestamp()
+    time_difference = current_time - file_creation_time
+
+    return time_difference <= 86400
+
+
+async def get_data_by_mode(mode, filename, channel_url=None):
+    if channel_url in get_channel_dict():
+        channel_url = get_channel_dict()[channel_url]
+
+    try:
+        if mode == "local":
+            uri = os.path.join(comfyui_manager_path, filename)
+            json_obj = await get_data(uri)
+        else:
+            if channel_url is None:
+                uri = get_config()['channel_url'] + '/' + filename
+            else:
+                uri = channel_url + '/' + filename
+
+            cache_uri = str(simple_hash(uri))+'_'+filename
+            cache_uri = os.path.join(cache_dir, cache_uri)
+
+            if mode == "cache":
+                if is_file_created_within_one_day(cache_uri):
+                    json_obj = await get_data(cache_uri)
+                else:
+                    json_obj = await get_data(uri)
+                    with cache_lock:
+                        with open(cache_uri, "w", encoding='utf-8') as file:
+                            json.dump(json_obj, file, indent=4, sort_keys=True)
+            else:
+                json_obj = await get_data(uri)
+                with cache_lock:
+                    with open(cache_uri, "w", encoding='utf-8') as file:
+                        json.dump(json_obj, file, indent=4, sort_keys=True)
+    except Exception as e:
+        print(f"[ComfyUI-Manager] Due to a network error, switching to local mode.\n=> {filename}\n=> {e}")
+        uri = os.path.join(comfyui_manager_path, filename)
+        json_obj = await get_data(uri)
+
+    return json_obj
+
+
+def gitclone_fix(files, instant_execution=False):
+    print(f"Try fixing: {files}")
+    for url in files:
+        if not is_valid_url(url):
+            print(f"Invalid git url: '{url}'")
+            return False
+
+        if url.endswith("/"):
+            url = url[:-1]
+        try:
+            repo_name = os.path.splitext(os.path.basename(url))[0]
+            repo_path = os.path.join(custom_nodes_path, repo_name)
+
+            if os.path.exists(repo_path+'.disabled'):
+                repo_path = repo_path+'.disabled'
+
+            if not execute_install_script(url, repo_path, instant_execution=instant_execution):
+                return False
+
+        except Exception as e:
+            print(f"Install(git-clone) error: {url} / {e}", file=sys.stderr)
+            return False
+
+    print(f"Attempt to fixing '{files}' is done.")
+    return True
+
+
+def pip_install(packages):
+    install_cmd = ['#FORCE', sys.executable, "-m", "pip", "install", '-U'] + packages
+    try_install_script('pip install via manager', '..', install_cmd)
+
+
+def rmtree(path):
+    retry_count = 3
+
+    while True:
+        try:
+            retry_count -= 1
+
+            if platform.system() == "Windows":
+                manager_funcs.run_script(['attrib', '-R', path + '\\*', '/S'])
+            shutil.rmtree(path)
+
+            return True
+
+        except Exception as ex:
+            print(f"ex: {ex}")
+            time.sleep(3)
+
+            if retry_count < 0:
+                raise ex
+
+            print(f"Uninstall retry({retry_count})")
+
+
+def gitclone_uninstall(files):
+    import os
+
+    print(f"Uninstall: {files}")
+    for url in files:
+        if url.endswith("/"):
+            url = url[:-1]
+        try:
+            dir_name = os.path.splitext(os.path.basename(url))[0].replace(".git", "")
+            dir_path = os.path.join(custom_nodes_path, dir_name)
+
+            # safety check
+            if dir_path == '/' or dir_path[1:] == ":/" or dir_path == '':
+                print(f"Uninstall(git-clone) error: invalid path '{dir_path}' for '{url}'")
+                return False
+
+            install_script_path = os.path.join(dir_path, "uninstall.py")
+            disable_script_path = os.path.join(dir_path, "disable.py")
+            if os.path.exists(install_script_path):
+                uninstall_cmd = [sys.executable, "uninstall.py"]
+                code = manager_funcs.run_script(uninstall_cmd, cwd=dir_path)
+
+                if code != 0:
+                    print(f"An error occurred during the execution of the uninstall.py script. Only the '{dir_path}' will be deleted.")
+            elif os.path.exists(disable_script_path):
+                disable_script = [sys.executable, "disable.py"]
+                code = manager_funcs.run_script(disable_script, cwd=dir_path)
+                if code != 0:
+                    print(f"An error occurred during the execution of the disable.py script. Only the '{dir_path}' will be deleted.")
+
+            if os.path.exists(dir_path):
+                rmtree(dir_path)
+            elif os.path.exists(dir_path + ".disabled"):
+                rmtree(dir_path + ".disabled")
+        except Exception as e:
+            print(f"Uninstall(git-clone) error: {url} / {e}", file=sys.stderr)
+            return False
+
+    print("Uninstallation was successful.")
+    return True
+
+
+def gitclone_set_active(files, is_disable):
+    import os
+
+    if is_disable:
+        action_name = "Disable"
+    else:
+        action_name = "Enable"
+
+    print(f"{action_name}: {files}")
+    for url in files:
+        if url.endswith("/"):
+            url = url[:-1]
+        try:
+            dir_name = os.path.splitext(os.path.basename(url))[0].replace(".git", "")
+            dir_path = os.path.join(custom_nodes_path, dir_name)
+
+            # safety check
+            if dir_path == '/' or dir_path[1:] == ":/" or dir_path == '':
+                print(f"{action_name}(git-clone) error: invalid path '{dir_path}' for '{url}'")
+                return False
+
+            if is_disable:
+                current_path = dir_path
+                new_path = dir_path + ".disabled"
+            else:
+                current_path = dir_path + ".disabled"
+                new_path = dir_path
+
+            os.rename(current_path, new_path)
+
+            if is_disable:
+                if os.path.exists(os.path.join(new_path, "disable.py")):
+                    disable_script = [sys.executable, "disable.py"]
+                    try_install_script(url, new_path, disable_script)
+            else:
+                if os.path.exists(os.path.join(new_path, "enable.py")):
+                    enable_script = [sys.executable, "enable.py"]
+                    try_install_script(url, new_path, enable_script)
+
+        except Exception as e:
+            print(f"{action_name}(git-clone) error: {url} / {e}", file=sys.stderr)
+            return False
+
+    print(f"{action_name} was successful.")
+    return True
+
+
+def gitclone_update(files, instant_execution=False, skip_script=False, msg_prefix=""):
+    import os
+
+    print(f"{msg_prefix}Update: {files}")
+    for url in files:
+        if url.endswith("/"):
+            url = url[:-1]
+        try:
+            repo_name = os.path.splitext(os.path.basename(url))[0].replace(".git", "")
+            repo_path = os.path.join(custom_nodes_path, repo_name)
+
+            if os.path.exists(repo_path+'.disabled'):
+                repo_path = repo_path+'.disabled'
+
+            git_pull(repo_path)
+
+            if not skip_script:
+                if instant_execution:
+                    if not execute_install_script(url, repo_path, lazy_mode=False, instant_execution=True):
+                        return False
+                else:
+                    if not execute_install_script(url, repo_path, lazy_mode=True):
+                        return False
+
+        except Exception as e:
+            print(f"Update(git-clone) error: {url} / {e}", file=sys.stderr)
+            return False
+
+    if not skip_script:
+        print("Update was successful.")
+    return True
+
+
+def update_path(repo_path, instant_execution=False):
+    if not os.path.exists(os.path.join(repo_path, '.git')):
+        return "fail"
+
+    # version check
+    repo = git.Repo(repo_path)
+
+    if repo.head.is_detached:
+        switch_to_default_branch(repo)
+
+    current_branch = repo.active_branch
+    branch_name = current_branch.name
+
+    if current_branch.tracking_branch() is None:
+        print(f"[ComfyUI-Manager] There is no tracking branch ({current_branch})")
+        remote_name = 'origin'
+    else:
+        remote_name = current_branch.tracking_branch().remote_name
+    remote = repo.remote(name=remote_name)
+
+    try:
+        remote.fetch()
+    except Exception as e:
+        if 'detected dubious' in str(e):
+            print(f"[ComfyUI-Manager] Try fixing 'dubious repository' error on 'ComfyUI' repository")
+            safedir_path = comfy_path.replace('\\', '/')
+            subprocess.run(['git', 'config', '--global', '--add', 'safe.directory', safedir_path])
+            try:
+                remote.fetch()
+            except Exception:
+                print(f"\n[ComfyUI-Manager] Failed to fixing repository setup. Please execute this command on cmd: \n"
+                      f"-----------------------------------------------------------------------------------------\n"
+                      f'git config --global --add safe.directory "{safedir_path}"\n'
+                      f"-----------------------------------------------------------------------------------------\n")
+
+    commit_hash = repo.head.commit.hexsha
+    remote_commit_hash = repo.refs[f'{remote_name}/{branch_name}'].object.hexsha
+
+    if commit_hash != remote_commit_hash:
+        git_pull(repo_path)
+        execute_install_script("ComfyUI", repo_path, instant_execution=instant_execution)
+        return "updated"
+    else:
+        return "skipped"
+
+
+def lookup_customnode_by_url(data, target):
+    for x in data['custom_nodes']:
+        if target in x['files']:
+            dir_name = os.path.splitext(os.path.basename(target))[0].replace(".git", "")
+            dir_path = os.path.join(custom_nodes_path, dir_name)
+            if os.path.exists(dir_path):
+                x['installed'] = 'True'
+            elif os.path.exists(dir_path + ".disabled"):
+                x['installed'] = 'Disabled'
+            return x
+
+    return None
+
+
+def simple_check_custom_node(url):
+    dir_name = os.path.splitext(os.path.basename(url))[0].replace(".git", "")
+    dir_path = os.path.join(custom_nodes_path, dir_name)
+    if os.path.exists(dir_path):
+        return 'installed'
+    elif os.path.exists(dir_path+'.disabled'):
+        return 'disabled'
+
+    return 'not-installed'
+
+
+def check_a_custom_node_installed(item, do_fetch=False, do_update_check=True, do_update=False):
+    item['installed'] = 'None'
+
+    if item['install_type'] == 'git-clone' and len(item['files']) == 1:
+        url = item['files'][0]
+
+        if url.endswith("/"):
+            url = url[:-1]
+
+        dir_name = os.path.splitext(os.path.basename(url))[0].replace(".git", "")
+        dir_path = os.path.join(custom_nodes_path, dir_name)
+        if os.path.exists(dir_path):
+            try:
+                item['installed'] = 'True'  # default
+
+                if cm_global.try_call(api="cm.is_import_failed_extension", name=dir_name):
+                    item['installed'] = 'Fail'
+
+                if do_update_check:
+                    update_state, success = git_repo_has_updates(dir_path, do_fetch, do_update)
+                    if (do_update_check or do_update) and update_state:
+                        item['installed'] = 'Update'
+                    elif do_update and not success:
+                        item['installed'] = 'Fail'
+            except:
+                if cm_global.try_call(api="cm.is_import_failed_extension", name=dir_name):
+                    item['installed'] = 'Fail'
+                else:
+                    item['installed'] = 'True'
+
+        elif os.path.exists(dir_path + ".disabled"):
+            item['installed'] = 'Disabled'
+
+        else:
+            item['installed'] = 'False'
+
+    elif item['install_type'] == 'copy' and len(item['files']) == 1:
+        dir_name = os.path.basename(item['files'][0])
+
+        if item['files'][0].endswith('.py'):
+            base_path = custom_nodes_path
+        elif 'js_path' in item:
+            base_path = os.path.join(js_path, item['js_path'])
+        else:
+            base_path = js_path
+
+        file_path = os.path.join(base_path, dir_name)
+        if os.path.exists(file_path):
+            if cm_global.try_call(api="cm.is_import_failed_extension", name=dir_name):
+                item['installed'] = 'Fail'
+            else:
+                item['installed'] = 'True'
+        elif os.path.exists(file_path + ".disabled"):
+            item['installed'] = 'Disabled'
+        else:
+            item['installed'] = 'False'
+
+
+def get_installed_pip_packages():
+    # extract pip package infos
+    pips = subprocess.check_output([sys.executable, '-m', 'pip', 'freeze'], text=True).split('\n')
+
+    res = {}
+    for x in pips:
+        if x.strip() == "":
+            continue
+
+        if ' @ ' in x:
+            spec_url = x.split(' @ ')
+            res[spec_url[0]] = spec_url[1]
+        else:
+            res[x] = ""
+
+    return res
+
+
+def get_current_snapshot():
+    # Get ComfyUI hash
+    repo_path = comfy_path
+
+    if not os.path.exists(os.path.join(repo_path, '.git')):
+        print(f"ComfyUI update fail: The installed ComfyUI does not have a Git repository.")
+        return {}
+
+    repo = git.Repo(repo_path)
+    comfyui_commit_hash = repo.head.commit.hexsha
+
+    git_custom_nodes = {}
+    file_custom_nodes = []
+
+    # Get custom nodes hash
+    for path in os.listdir(custom_nodes_path):
+        fullpath = os.path.join(custom_nodes_path, path)
+
+        if os.path.isdir(fullpath):
+            is_disabled = path.endswith(".disabled")
+
+            try:
+                git_dir = os.path.join(fullpath, '.git')
+
+                if not os.path.exists(git_dir):
+                    continue
+
+                repo = git.Repo(fullpath)
+                commit_hash = repo.head.commit.hexsha
+                url = repo.remotes.origin.url
+                git_custom_nodes[url] = {
+                    'hash': commit_hash,
+                    'disabled': is_disabled
+                }
+
+            except:
+                print(f"Failed to extract snapshots for the custom node '{path}'.")
+
+        elif path.endswith('.py'):
+            is_disabled = path.endswith(".py.disabled")
+            filename = os.path.basename(path)
+            item = {
+                'filename': filename,
+                'disabled': is_disabled
+            }
+
+            file_custom_nodes.append(item)
+
+    pip_packages = get_installed_pip_packages()
+
+    return {
+        'comfyui': comfyui_commit_hash,
+        'git_custom_nodes': git_custom_nodes,
+        'file_custom_nodes': file_custom_nodes,
+        'pips': pip_packages,
+    }
+
+
+def save_snapshot_with_postfix(postfix, path=None):
+    if path is None:
+        now = datetime.now()
+
+        date_time_format = now.strftime("%Y-%m-%d_%H-%M-%S")
+        file_name = f"{date_time_format}_{postfix}"
+
+        path = os.path.join(comfyui_manager_path, 'snapshots', f"{file_name}.json")
+    else:
+        file_name = path.replace('\\', '/').split('/')[-1]
+        file_name = file_name.split('.')[-2]
+
+    snapshot = get_current_snapshot()
+    if path.endswith('.json'):
+        with open(path, "w") as json_file:
+            json.dump(snapshot, json_file, indent=4)
+
+        return file_name + '.json'
+
+    elif path.endswith('.yaml'):
+        with open(path, "w") as yaml_file:
+            snapshot = {'custom_nodes': snapshot}
+            yaml.dump(snapshot, yaml_file, allow_unicode=True)
+
+        return path
+
+
+async def extract_nodes_from_workflow(filepath, mode='local', channel_url='default'):
+    # prepare json data
+    workflow = None
+    if filepath.endswith('.json'):
+        with open(filepath, "r", encoding="UTF-8", errors="ignore") as json_file:
+            try:
+                workflow = json.load(json_file)
+            except:
+                print(f"Invalid workflow file: {filepath}")
+                exit(-1)
+
+    elif filepath.endswith('.png'):
+        from PIL import Image
+        with Image.open(filepath) as img:
+            if 'workflow' not in img.info:
+                print(f"The specified .png file doesn't have a workflow: {filepath}")
+                exit(-1)
+            else:
+                try:
+                    workflow = json.loads(img.info['workflow'])
+                except:
+                    print(f"This is not a valid .png file containing a ComfyUI workflow: {filepath}")
+                    exit(-1)
+
+    if workflow is None:
+        print(f"Invalid workflow file: {filepath}")
+        exit(-1)
+
+    # extract nodes
+    used_nodes = set()
+
+    def extract_nodes(sub_workflow):
+        for x in sub_workflow['nodes']:
+            node_name = x.get('type')
+
+            # skip virtual nodes
+            if node_name in ['Reroute', 'Note']:
+                continue
+
+            if node_name is not None and not node_name.startswith('workflow/'):
+                used_nodes.add(node_name)
+
+    if 'nodes' in workflow:
+        extract_nodes(workflow)
+
+        if 'extra' in workflow:
+            if 'groupNodes' in workflow['extra']:
+                for x in workflow['extra']['groupNodes'].values():
+                    extract_nodes(x)
+
+    # lookup dependent custom nodes
+    ext_map = await get_data_by_mode(mode, 'extension-node-map.json', channel_url)
+
+    rext_map = {}
+    preemption_map = {}
+    patterns = []
+    for k, v in ext_map.items():
+        if k == 'https://github.com/comfyanonymous/ComfyUI':
+            for x in v[0]:
+                if x not in preemption_map:
+                    preemption_map[x] = []
+
+                preemption_map[x] = k
+            continue
+
+        for x in v[0]:
+            if x not in rext_map:
+                rext_map[x] = []
+
+            rext_map[x].append(k)
+
+        if 'preemptions' in v[1]:
+            for x in v[1]['preemptions']:
+                if x not in preemption_map:
+                    preemption_map[x] = []
+
+                preemption_map[x] = k
+
+        if 'nodename_pattern' in v[1]:
+            patterns.append((v[1]['nodename_pattern'], k))
+
+    # identify used extensions
+    used_exts = set()
+    unknown_nodes = set()
+
+    for node_name in used_nodes:
+        ext = preemption_map.get(node_name)
+
+        if ext is None:
+            ext = rext_map.get(node_name)
+            if ext is not None:
+                ext = ext[0]
+
+        if ext is None:
+            for pat_ext in patterns:
+                if re.search(pat_ext[0], node_name):
+                    ext = pat_ext[1]
+                    break
+
+        if ext == 'https://github.com/comfyanonymous/ComfyUI':
+            pass
+        elif ext is not None:
+            if 'Fooocus' in ext:
+                print(f">> {node_name}")
+
+            used_exts.add(ext)
+        else:
+            unknown_nodes.add(node_name)
+
+    return used_exts, unknown_nodes
+
+
+def unzip(model_path):
+    if not os.path.exists(model_path):
+        print(f"[ComfyUI-Manager] unzip: File not found: {model_path}")
+        return False
+
+    base_dir = os.path.dirname(model_path)
+    filename = os.path.basename(model_path)
+    target_dir = os.path.join(base_dir, filename[:-4])
+
+    os.makedirs(target_dir, exist_ok=True)
+
+    with zipfile.ZipFile(model_path, 'r') as zip_ref:
+        zip_ref.extractall(target_dir)
+
+    # Check if there's only one directory inside the target directory
+    contents = os.listdir(target_dir)
+    if len(contents) == 1 and os.path.isdir(os.path.join(target_dir, contents[0])):
+        nested_dir = os.path.join(target_dir, contents[0])
+        # Move each file and sub-directory in the nested directory up to the target directory
+        for item in os.listdir(nested_dir):
+            shutil.move(os.path.join(nested_dir, item), os.path.join(target_dir, item))
+        # Remove the now empty nested directory
+        os.rmdir(nested_dir)
+
+    os.remove(model_path)
+    return True
+
+
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_downloader.py b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_downloader.py
new file mode 100644
index 0000000000000000000000000000000000000000..8a8c73c0383d8c7d6630c99aa6d94eec87fae613
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_downloader.py
@@ -0,0 +1,70 @@
+import os
+from urllib.parse import urlparse
+
+aria2 = os.getenv('COMFYUI_MANAGER_ARIA2_SERVER')
+HF_ENDPOINT = os.getenv('HF_ENDPOINT')
+
+if aria2 is not None:
+    secret = os.getenv('COMFYUI_MANAGER_ARIA2_SECRET')
+    url = urlparse(aria2)
+    port = url.port
+    host = url.scheme + '://' + url.hostname
+    import aria2p
+
+    aria2 = aria2p.API(aria2p.Client(host=host, port=port, secret=secret))
+
+
+def download_url(model_url: str, model_dir: str, filename: str):
+    if aria2:
+        return aria2_download_url(model_url, model_dir, filename)
+    else:
+        from torchvision.datasets.utils import download_url as torchvision_download_url
+
+        return torchvision_download_url(model_url, model_dir, filename)
+
+
+def aria2_find_task(dir: str, filename: str):
+    target = os.path.join(dir, filename)
+
+    downloads = aria2.get_downloads()
+
+    for download in downloads:
+        for file in download.files:
+            if file.is_metadata:
+                continue
+            if str(file.path) == target:
+                return download
+
+
+def aria2_download_url(model_url: str, model_dir: str, filename: str):
+    import manager_core as core
+    import tqdm
+    import time
+
+    if model_dir.startswith(core.comfy_path):
+        model_dir = model_dir[len(core.comfy_path) :]
+
+    if HF_ENDPOINT:
+        model_url = model_url.replace('https://huggingface.co', HF_ENDPOINT)
+
+    download_dir = model_dir if model_dir.startswith('/') else os.path.join('/models', model_dir)
+
+    download = aria2_find_task(download_dir, filename)
+    if download is None:
+        options = {'dir': download_dir, 'out': filename}
+        download = aria2.add(model_url, options)[0]
+
+    if download.is_active:
+        with tqdm.tqdm(
+            total=download.total_length,
+            bar_format='{l_bar}{bar}{r_bar}',
+            desc=filename,
+            unit='B',
+            unit_scale=True,
+        ) as progress_bar:
+            while download.is_active:
+                if progress_bar.total == 0 and download.total_length != 0:
+                    progress_bar.reset(download.total_length)
+                progress_bar.update(download.completed_length - progress_bar.n)
+                time.sleep(1)
+                download.update()
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_server.py b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_server.py
new file mode 100644
index 0000000000000000000000000000000000000000..1401293e6d7781dfe2be91376c78f3d9a11f4887
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_server.py
@@ -0,0 +1,1355 @@
+import traceback
+
+import folder_paths
+import locale
+import subprocess  # don't remove this
+import concurrent
+import nodes
+import os
+import sys
+import threading
+import re
+import shutil
+import git
+
+from server import PromptServer
+import manager_core as core
+import cm_global
+
+print(f"### Loading: ComfyUI-Manager ({core.version_str})")
+
+comfy_ui_hash = "-"
+
+SECURITY_MESSAGE_MIDDLE_OR_BELOW = f"ERROR: To use this action, a security_level of `middle or below` is required. Please contact the administrator.\nReference: https://github.com/ltdrdata/ComfyUI-Manager#security-policy"
+SECURITY_MESSAGE_NORMAL_MINUS = f"ERROR: To use this feature, you must either set '--listen' to a local IP and set the security level to 'normal-' or lower, or set the security level to 'middle' or 'weak'. Please contact the administrator.\nReference: https://github.com/ltdrdata/ComfyUI-Manager#security-policy"
+SECURITY_MESSAGE_GENERAL = f"ERROR: This installation is not allowed in this security_level. Please contact the administrator.\nReference: https://github.com/ltdrdata/ComfyUI-Manager#security-policy"
+
+def handle_stream(stream, prefix):
+    stream.reconfigure(encoding=locale.getpreferredencoding(), errors='replace')
+    for msg in stream:
+        if prefix == '[!]' and ('it/s]' in msg or 's/it]' in msg) and ('%|' in msg or 'it [' in msg):
+            if msg.startswith('100%'):
+                print('\r' + msg, end="", file=sys.stderr),
+            else:
+                print('\r' + msg[:-1], end="", file=sys.stderr),
+        else:
+            if prefix == '[!]':
+                print(prefix, msg, end="", file=sys.stderr)
+            else:
+                print(prefix, msg, end="")
+
+
+from comfy.cli_args import args
+import latent_preview
+
+
+is_local_mode = args.listen.startswith('127.') or args.listen.startswith('local.')
+
+
+def is_allowed_security_level(level):
+    if level == 'high':
+        if is_local_mode:
+            return core.get_config()['security_level'].lower() in ['weak', 'normal-']
+        else:
+            return core.get_config()['security_level'].lower() == 'weak'
+    elif level == 'middle':
+        return core.get_config()['security_level'].lower() in ['weak', 'normal', 'normal-']
+    else:
+        return True
+
+
+async def get_risky_level(files):
+    json_data1 = await core.get_data_by_mode('local', 'custom-node-list.json')
+    json_data2 = await core.get_data_by_mode('cache', 'custom-node-list.json', channel_url='https://github.com/ltdrdata/ComfyUI-Manager/raw/main')
+
+    all_urls = set()
+    for x in json_data1['custom_nodes'] + json_data2['custom_nodes']:
+        all_urls.update(x['files'])
+
+    for x in files:
+        if x not in all_urls:
+            return "high"
+
+    return "middle"
+
+
+class ManagerFuncsInComfyUI(core.ManagerFuncs):
+    def get_current_preview_method(self):
+        if args.preview_method == latent_preview.LatentPreviewMethod.Auto:
+            return "auto"
+        elif args.preview_method == latent_preview.LatentPreviewMethod.Latent2RGB:
+            return "latent2rgb"
+        elif args.preview_method == latent_preview.LatentPreviewMethod.TAESD:
+            return "taesd"
+        else:
+            return "none"
+
+    def run_script(self, cmd, cwd='.'):
+        if len(cmd) > 0 and cmd[0].startswith("#"):
+            print(f"[ComfyUI-Manager] Unexpected behavior: `{cmd}`")
+            return 0
+
+        process = subprocess.Popen(cmd, cwd=cwd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1)
+
+        stdout_thread = threading.Thread(target=handle_stream, args=(process.stdout, ""))
+        stderr_thread = threading.Thread(target=handle_stream, args=(process.stderr, "[!]"))
+
+        stdout_thread.start()
+        stderr_thread.start()
+
+        stdout_thread.join()
+        stderr_thread.join()
+
+        return process.wait()
+
+
+core.manager_funcs = ManagerFuncsInComfyUI()
+
+sys.path.append('../..')
+
+from manager_downloader import download_url
+
+core.comfy_path = os.path.dirname(folder_paths.__file__)
+core.js_path = os.path.join(core.comfy_path, "web", "extensions")
+
+local_db_model = os.path.join(core.comfyui_manager_path, "model-list.json")
+local_db_alter = os.path.join(core.comfyui_manager_path, "alter-list.json")
+local_db_custom_node_list = os.path.join(core.comfyui_manager_path, "custom-node-list.json")
+local_db_extension_node_mappings = os.path.join(core.comfyui_manager_path, "extension-node-map.json")
+components_path = os.path.join(core.comfyui_manager_path, 'components')
+
+
+def set_preview_method(method):
+    if method == 'auto':
+        args.preview_method = latent_preview.LatentPreviewMethod.Auto
+    elif method == 'latent2rgb':
+        args.preview_method = latent_preview.LatentPreviewMethod.Latent2RGB
+    elif method == 'taesd':
+        args.preview_method = latent_preview.LatentPreviewMethod.TAESD
+    else:
+        args.preview_method = latent_preview.LatentPreviewMethod.NoPreviews
+
+    core.get_config()['preview_method'] = args.preview_method
+
+
+set_preview_method(core.get_config()['preview_method'])
+
+
+def set_badge_mode(mode):
+    core.get_config()['badge_mode'] = mode
+
+
+def set_default_ui_mode(mode):
+    core.get_config()['default_ui'] = mode
+
+
+def set_component_policy(mode):
+    core.get_config()['component_policy'] = mode
+
+
+def set_double_click_policy(mode):
+    core.get_config()['double_click_policy'] = mode
+
+
+def print_comfyui_version():
+    global comfy_ui_hash
+
+    is_detached = False
+    try:
+        repo = git.Repo(os.path.dirname(folder_paths.__file__))
+        core.comfy_ui_revision = len(list(repo.iter_commits('HEAD')))
+
+        comfy_ui_hash = repo.head.commit.hexsha
+        cm_global.variables['comfyui.revision'] = core.comfy_ui_revision
+
+        core.comfy_ui_commit_datetime = repo.head.commit.committed_datetime
+        cm_global.variables['comfyui.commit_datetime'] = core.comfy_ui_commit_datetime
+
+        is_detached = repo.head.is_detached
+        current_branch = repo.active_branch.name
+
+        try:
+            if core.comfy_ui_commit_datetime.date() < core.comfy_ui_required_commit_datetime.date():
+                print(f"\n\n## [WARN] ComfyUI-Manager: Your ComfyUI version ({core.comfy_ui_revision})[{core.comfy_ui_commit_datetime.date()}] is too old. Please update to the latest version. ##\n\n")
+        except:
+            pass
+
+        # process on_revision_detected -->
+        if 'cm.on_revision_detected_handler' in cm_global.variables:
+            for k, f in cm_global.variables['cm.on_revision_detected_handler']:
+                try:
+                    f(core.comfy_ui_revision)
+                except Exception:
+                    print(f"[ERROR] '{k}' on_revision_detected_handler")
+                    traceback.print_exc()
+
+            del cm_global.variables['cm.on_revision_detected_handler']
+        else:
+            print(f"[ComfyUI-Manager] Some features are restricted due to your ComfyUI being outdated.")
+        # <--
+
+        if current_branch == "master":
+            print(f"### ComfyUI Revision: {core.comfy_ui_revision} [{comfy_ui_hash[:8]}] | Released on '{core.comfy_ui_commit_datetime.date()}'")
+        else:
+            print(f"### ComfyUI Revision: {core.comfy_ui_revision} on '{current_branch}' [{comfy_ui_hash[:8]}] | Released on '{core.comfy_ui_commit_datetime.date()}'")
+    except:
+        if is_detached:
+            print(f"### ComfyUI Revision: {core.comfy_ui_revision} [{comfy_ui_hash[:8]}] *DETACHED | Released on '{core.comfy_ui_commit_datetime.date()}'")
+        else:
+            print("### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)")
+
+
+print_comfyui_version()
+
+
+async def populate_github_stats(json_obj, json_obj_github):
+    if 'custom_nodes' in json_obj:
+        for i, node in enumerate(json_obj['custom_nodes']):
+            url = node['reference']
+            if url in json_obj_github:
+                json_obj['custom_nodes'][i]['stars'] = json_obj_github[url]['stars']
+                json_obj['custom_nodes'][i]['last_update'] = json_obj_github[url]['last_update']
+                json_obj['custom_nodes'][i]['trust'] = json_obj_github[url]['author_account_age_days'] > 180
+            else:
+                json_obj['custom_nodes'][i]['stars'] = -1
+                json_obj['custom_nodes'][i]['last_update'] = -1
+                json_obj['custom_nodes'][i]['trust'] = False
+        return json_obj
+
+
+def setup_environment():
+    git_exe = core.get_config()['git_exe']
+
+    if git_exe != '':
+        git.Git().update_environment(GIT_PYTHON_GIT_EXECUTABLE=git_exe)
+
+
+setup_environment()
+
+# Expand Server api
+
+import server
+from aiohttp import web
+import aiohttp
+import json
+import zipfile
+import urllib.request
+
+
+def get_model_dir(data):
+    if data['save_path'] != 'default':
+        if '..' in data['save_path'] or data['save_path'].startswith('/'):
+            print(f"[WARN] '{data['save_path']}' is not allowed path. So it will be saved into 'models/etc'.")
+            base_model = os.path.join(folder_paths.models_dir, "etc")
+        else:
+            if data['save_path'].startswith("custom_nodes"):
+                base_model = os.path.join(core.comfy_path, data['save_path'])
+            else:
+                base_model = os.path.join(folder_paths.models_dir, data['save_path'])
+    else:
+        model_type = data['type']
+        if model_type == "checkpoints" or model_type == "checkpoint":
+            base_model = folder_paths.folder_names_and_paths["checkpoints"][0][0]
+        elif model_type == "unclip":
+            base_model = folder_paths.folder_names_and_paths["checkpoints"][0][0]
+        elif model_type == "clip":
+            base_model = folder_paths.folder_names_and_paths["clip"][0][0]
+        elif model_type == "VAE":
+            base_model = folder_paths.folder_names_and_paths["vae"][0][0]
+        elif model_type == "lora":
+            base_model = folder_paths.folder_names_and_paths["loras"][0][0]
+        elif model_type == "T2I-Adapter":
+            base_model = folder_paths.folder_names_and_paths["controlnet"][0][0]
+        elif model_type == "T2I-Style":
+            base_model = folder_paths.folder_names_and_paths["controlnet"][0][0]
+        elif model_type == "controlnet":
+            base_model = folder_paths.folder_names_and_paths["controlnet"][0][0]
+        elif model_type == "clip_vision":
+            base_model = folder_paths.folder_names_and_paths["clip_vision"][0][0]
+        elif model_type == "gligen":
+            base_model = folder_paths.folder_names_and_paths["gligen"][0][0]
+        elif model_type == "upscale":
+            base_model = folder_paths.folder_names_and_paths["upscale_models"][0][0]
+        elif model_type == "embeddings":
+            base_model = folder_paths.folder_names_and_paths["embeddings"][0][0]
+        elif model_type == "unet" or model_type == "diffusion_model":
+            if folder_paths.folder_names_and_paths.get("diffusion_models"):
+                base_model = folder_paths.folder_names_and_paths["diffusion_models"][0][1]
+            else:
+                print(f"[ComfyUI-Manager] Your ComfyUI is outdated version.")
+                base_model = folder_paths.folder_names_and_paths["unet"][0][0]  # outdated version
+        else:
+            base_model = os.path.join(folder_paths.models_dir, "etc")
+
+    return base_model
+
+
+def get_model_path(data):
+    base_model = get_model_dir(data)
+    return os.path.join(base_model, data['filename'])
+
+
+def check_custom_nodes_installed(json_obj, do_fetch=False, do_update_check=True, do_update=False):
+    if do_fetch:
+        print("Start fetching...", end="")
+    elif do_update:
+        print("Start updating...", end="")
+    elif do_update_check:
+        print("Start update check...", end="")
+
+    def process_custom_node(item):
+        core.check_a_custom_node_installed(item, do_fetch, do_update_check, do_update)
+
+    with concurrent.futures.ThreadPoolExecutor(4) as executor:
+        for item in json_obj['custom_nodes']:
+            executor.submit(process_custom_node, item)
+
+    if do_fetch:
+        print(f"\x1b[2K\rFetching done.")
+    elif do_update:
+        update_exists = any(item['installed'] == 'Update' for item in json_obj['custom_nodes'])
+        if update_exists:
+            print(f"\x1b[2K\rUpdate done.")
+        else:
+            print(f"\x1b[2K\rAll extensions are already up-to-date.")
+    elif do_update_check:
+        print(f"\x1b[2K\rUpdate check done.")
+
+
+def nickname_filter(json_obj):
+    preemptions_map = {}
+
+    for k, x in json_obj.items():
+        if 'preemptions' in x[1]:
+            for y in x[1]['preemptions']:
+                preemptions_map[y] = k
+        elif k.endswith("/ComfyUI"):
+            for y in x[0]:
+                preemptions_map[y] = k
+
+    updates = {}
+    for k, x in json_obj.items():
+        removes = set()
+        for y in x[0]:
+            k2 = preemptions_map.get(y)
+            if k2 is not None and k != k2:
+                removes.add(y)
+
+        if len(removes) > 0:
+            updates[k] = [y for y in x[0] if y not in removes]
+
+    for k, v in updates.items():
+        json_obj[k][0] = v
+
+    return json_obj
+
+
+@PromptServer.instance.routes.get("/customnode/getmappings")
+async def fetch_customnode_mappings(request):
+    mode = request.rel_url.query["mode"]
+
+    nickname_mode = False
+    if mode == "nickname":
+        mode = "local"
+        nickname_mode = True
+
+    json_obj = await core.get_data_by_mode(mode, 'extension-node-map.json')
+
+    if nickname_mode:
+        json_obj = nickname_filter(json_obj)
+
+    all_nodes = set()
+    patterns = []
+    for k, x in json_obj.items():
+        all_nodes.update(set(x[0]))
+
+        if 'nodename_pattern' in x[1]:
+            patterns.append((x[1]['nodename_pattern'], x[0]))
+
+    missing_nodes = set(nodes.NODE_CLASS_MAPPINGS.keys()) - all_nodes
+
+    for x in missing_nodes:
+        for pat, item in patterns:
+            if re.match(pat, x):
+                item.append(x)
+
+    return web.json_response(json_obj, content_type='application/json')
+
+
+@PromptServer.instance.routes.get("/customnode/fetch_updates")
+async def fetch_updates(request):
+    try:
+        json_obj = await core.get_data_by_mode(request.rel_url.query["mode"], 'custom-node-list.json')
+
+        check_custom_nodes_installed(json_obj, True)
+
+        update_exists = any('custom_nodes' in json_obj and 'installed' in node and node['installed'] == 'Update' for node in
+                            json_obj['custom_nodes'])
+
+        if update_exists:
+            return web.Response(status=201)
+
+        return web.Response(status=200)
+    except:
+        return web.Response(status=400)
+
+
+@PromptServer.instance.routes.get("/customnode/update_all")
+async def update_all(request):
+    if not is_allowed_security_level('middle'):
+        print(SECURITY_MESSAGE_MIDDLE_OR_BELOW)
+        return web.Response(status=403)
+
+    try:
+        core.save_snapshot_with_postfix('autosave')
+
+        json_obj = await core.get_data_by_mode(request.rel_url.query["mode"], 'custom-node-list.json')
+
+        check_custom_nodes_installed(json_obj, do_update=True)
+
+        updated = [item['title'] for item in json_obj['custom_nodes'] if item['installed'] == 'Update']
+        failed = [item['title'] for item in json_obj['custom_nodes'] if item['installed'] == 'Fail']
+
+        res = {'updated': updated, 'failed': failed}
+
+        if len(updated) == 0 and len(failed) == 0:
+            status = 200
+        else:
+            status = 201
+
+        return web.json_response(res, status=status, content_type='application/json')
+    except:
+        return web.Response(status=400)
+    finally:
+        core.clear_pip_cache()
+
+
+def convert_markdown_to_html(input_text):
+    pattern_a = re.compile(r'\[a/([^]]+)\]\(([^)]+)\)')
+    pattern_w = re.compile(r'\[w/([^]]+)\]')
+    pattern_i = re.compile(r'\[i/([^]]+)\]')
+    pattern_bold = re.compile(r'\*\*([^*]+)\*\*')
+    pattern_white = re.compile(r'%%([^*]+)%%')
+
+    def replace_a(match):
+        return f"<a href='{match.group(2)}' target='blank'>{match.group(1)}</a>"
+
+    def replace_w(match):
+        return f"<p class='cm-warn-note'>{match.group(1)}</p>"
+
+    def replace_i(match):
+        return f"<p class='cm-info-note'>{match.group(1)}</p>"
+
+    def replace_bold(match):
+        return f"<B>{match.group(1)}</B>"
+
+    def replace_white(match):
+        return f"<font color='white'>{match.group(1)}</font>"
+
+    input_text = input_text.replace('\\[', '&#91;').replace('\\]', '&#93;').replace('<', '&lt;').replace('>', '&gt;')
+
+    result_text = re.sub(pattern_a, replace_a, input_text)
+    result_text = re.sub(pattern_w, replace_w, result_text)
+    result_text = re.sub(pattern_i, replace_i, result_text)
+    result_text = re.sub(pattern_bold, replace_bold, result_text)
+    result_text = re.sub(pattern_white, replace_white, result_text)
+
+    return result_text.replace("\n", "<BR>")
+
+
+def populate_markdown(x):
+    if 'description' in x:
+        x['description'] = convert_markdown_to_html(x['description'])
+
+    if 'name' in x:
+        x['name'] = x['name'].replace('<', '&lt;').replace('>', '&gt;')
+
+    if 'title' in x:
+        x['title'] = x['title'].replace('<', '&lt;').replace('>', '&gt;')
+
+
+@PromptServer.instance.routes.get("/customnode/getlist")
+async def fetch_customnode_list(request):
+    if "skip_update" in request.rel_url.query and request.rel_url.query["skip_update"] == "true":
+        skip_update = True
+    else:
+        skip_update = False
+
+    if request.rel_url.query["mode"] == "local":
+        channel = 'local'
+    else:
+        channel = core.get_config()['channel_url']
+
+    json_obj = await core.get_data_by_mode(request.rel_url.query["mode"], 'custom-node-list.json')
+    json_obj_github = await core.get_data_by_mode(request.rel_url.query["mode"], 'github-stats.json', 'default')
+    json_obj = await populate_github_stats(json_obj, json_obj_github)
+
+    def is_ignored_notice(code):
+        if code is not None and code.startswith('#NOTICE_'):
+            try:
+                notice_version = [int(x) for x in code[8:].split('.')]
+                return notice_version[0] < core.version[0] or (notice_version[0] == core.version[0] and notice_version[1] <= core.version[1])
+            except Exception:
+                return False
+        else:
+            return False
+
+    json_obj['custom_nodes'] = [record for record in json_obj['custom_nodes'] if not is_ignored_notice(record.get('author'))]
+
+    check_custom_nodes_installed(json_obj, False, not skip_update)
+
+    for x in json_obj['custom_nodes']:
+        populate_markdown(x)
+
+    if channel != 'local':
+        found = 'custom'
+
+        for name, url in core.get_channel_dict().items():
+            if url == channel:
+                found = name
+                break
+
+        channel = found
+
+    json_obj['channel'] = channel
+
+    return web.json_response(json_obj, content_type='application/json')
+
+
+@PromptServer.instance.routes.get("/customnode/alternatives")
+async def fetch_customnode_alternatives(request):
+    alter_json = await core.get_data_by_mode(request.rel_url.query["mode"], 'alter-list.json')
+
+    for item in alter_json['items']:
+        populate_markdown(item)
+        
+    return web.json_response(alter_json, content_type='application/json')
+
+
+@PromptServer.instance.routes.get("/alternatives/getlist")
+async def fetch_alternatives_list(request):
+    if "skip_update" in request.rel_url.query and request.rel_url.query["skip_update"] == "true":
+        skip_update = True
+    else:
+        skip_update = False
+
+    alter_json = await core.get_data_by_mode(request.rel_url.query["mode"], 'alter-list.json')
+    custom_node_json = await core.get_data_by_mode(request.rel_url.query["mode"], 'custom-node-list.json')
+
+    fileurl_to_custom_node = {}
+
+    for item in custom_node_json['custom_nodes']:
+        for fileurl in item['files']:
+            fileurl_to_custom_node[fileurl] = item
+
+    for item in alter_json['items']:
+        fileurl = item['id']
+        if fileurl in fileurl_to_custom_node:
+            custom_node = fileurl_to_custom_node[fileurl]
+            core.check_a_custom_node_installed(custom_node, not skip_update)
+
+            populate_markdown(item)
+            populate_markdown(custom_node)
+            item['custom_node'] = custom_node
+
+    return web.json_response(alter_json, content_type='application/json')
+
+
+def check_model_installed(json_obj):
+    def process_model(item):
+        model_path = get_model_path(item)
+        item['installed'] = 'None'
+
+        if model_path is not None:
+            if model_path.endswith('.zip'):
+                if os.path.exists(model_path[:-4]):
+                    item['installed'] = 'True'
+                else:
+                    item['installed'] = 'False'
+            elif os.path.exists(model_path):
+                item['installed'] = 'True'
+            else:
+                item['installed'] = 'False'
+
+    with concurrent.futures.ThreadPoolExecutor(8) as executor:
+        for item in json_obj['models']:
+            executor.submit(process_model, item)
+
+
+@PromptServer.instance.routes.get("/externalmodel/getlist")
+async def fetch_externalmodel_list(request):
+    json_obj = await core.get_data_by_mode(request.rel_url.query["mode"], 'model-list.json')
+
+    check_model_installed(json_obj)
+
+    for x in json_obj['models']:
+        populate_markdown(x)
+
+    return web.json_response(json_obj, content_type='application/json')
+
+
+@PromptServer.instance.routes.get("/snapshot/getlist")
+async def get_snapshot_list(request):
+    snapshots_directory = os.path.join(core.comfyui_manager_path, 'snapshots')
+    items = [f[:-5] for f in os.listdir(snapshots_directory) if f.endswith('.json')]
+    items.sort(reverse=True)
+    return web.json_response({'items': items}, content_type='application/json')
+
+
+@PromptServer.instance.routes.get("/snapshot/remove")
+async def remove_snapshot(request):
+    if not is_allowed_security_level('middle'):
+        print(SECURITY_MESSAGE_MIDDLE_OR_BELOW)
+        return web.Response(status=403)
+    
+    try:
+        target = request.rel_url.query["target"]
+
+        path = os.path.join(core.comfyui_manager_path, 'snapshots', f"{target}.json")
+        if os.path.exists(path):
+            os.remove(path)
+
+        return web.Response(status=200)
+    except:
+        return web.Response(status=400)
+
+
+@PromptServer.instance.routes.get("/snapshot/restore")
+async def remove_snapshot(request):
+    if not is_allowed_security_level('middle'):
+        print(SECURITY_MESSAGE_MIDDLE_OR_BELOW)
+        return web.Response(status=403)
+    
+    try:
+        target = request.rel_url.query["target"]
+
+        path = os.path.join(core.comfyui_manager_path, 'snapshots', f"{target}.json")
+        if os.path.exists(path):
+            if not os.path.exists(core.startup_script_path):
+                os.makedirs(core.startup_script_path)
+
+            target_path = os.path.join(core.startup_script_path, "restore-snapshot.json")
+            shutil.copy(path, target_path)
+
+            print(f"Snapshot restore scheduled: `{target}`")
+            return web.Response(status=200)
+
+        print(f"Snapshot file not found: `{path}`")
+        return web.Response(status=400)
+    except:
+        return web.Response(status=400)
+
+
+@PromptServer.instance.routes.get("/snapshot/get_current")
+async def get_current_snapshot_api(request):
+    try:
+        return web.json_response(core.get_current_snapshot(), content_type='application/json')
+    except:
+        return web.Response(status=400)
+
+
+@PromptServer.instance.routes.get("/snapshot/save")
+async def save_snapshot(request):
+    try:
+        core.save_snapshot_with_postfix('snapshot')
+        return web.Response(status=200)
+    except:
+        return web.Response(status=400)
+
+
+def unzip_install(files):
+    temp_filename = 'manager-temp.zip'
+    for url in files:
+        if url.endswith("/"):
+            url = url[:-1]
+        try:
+            headers = {
+                'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
+
+            req = urllib.request.Request(url, headers=headers)
+            response = urllib.request.urlopen(req)
+            data = response.read()
+
+            with open(temp_filename, 'wb') as f:
+                f.write(data)
+
+            with zipfile.ZipFile(temp_filename, 'r') as zip_ref:
+                zip_ref.extractall(core.custom_nodes_path)
+
+            os.remove(temp_filename)
+        except Exception as e:
+            print(f"Install(unzip) error: {url} / {e}", file=sys.stderr)
+            return False
+
+    print("Installation was successful.")
+    return True
+
+
+def download_url_with_agent(url, save_path):
+    try:
+        headers = {
+            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
+
+        req = urllib.request.Request(url, headers=headers)
+        response = urllib.request.urlopen(req)
+        data = response.read()
+
+        if not os.path.exists(os.path.dirname(save_path)):
+            os.makedirs(os.path.dirname(save_path))
+
+        with open(save_path, 'wb') as f:
+            f.write(data)
+
+    except Exception as e:
+        print(f"Download error: {url} / {e}", file=sys.stderr)
+        return False
+
+    print("Installation was successful.")
+    return True
+
+
+def copy_install(files, js_path_name=None):
+    for url in files:
+        if url.endswith("/"):
+            url = url[:-1]
+        try:
+            filename = os.path.basename(url)
+            if url.endswith(".py"):
+                download_url(url, core.custom_nodes_path, filename)
+            else:
+                path = os.path.join(core.js_path, js_path_name) if js_path_name is not None else core.js_path
+                if not os.path.exists(path):
+                    os.makedirs(path)
+                download_url(url, path, filename)
+
+        except Exception as e:
+            print(f"Install(copy) error: {url} / {e}", file=sys.stderr)
+            return False
+
+    print("Installation was successful.")
+    return True
+
+
+def copy_uninstall(files, js_path_name='.'):
+    for url in files:
+        if url.endswith("/"):
+            url = url[:-1]
+        dir_name = os.path.basename(url)
+        base_path = core.custom_nodes_path if url.endswith('.py') else os.path.join(core.js_path, js_path_name)
+        file_path = os.path.join(base_path, dir_name)
+
+        try:
+            if os.path.exists(file_path):
+                os.remove(file_path)
+            elif os.path.exists(file_path + ".disabled"):
+                os.remove(file_path + ".disabled")
+        except Exception as e:
+            print(f"Uninstall(copy) error: {url} / {e}", file=sys.stderr)
+            return False
+
+    print("Uninstallation was successful.")
+    return True
+
+
+def copy_set_active(files, is_disable, js_path_name='.'):
+    if is_disable:
+        action_name = "Disable"
+    else:
+        action_name = "Enable"
+
+    for url in files:
+        if url.endswith("/"):
+            url = url[:-1]
+        dir_name = os.path.basename(url)
+        base_path = core.custom_nodes_path if url.endswith('.py') else os.path.join(core.js_path, js_path_name)
+        file_path = os.path.join(base_path, dir_name)
+
+        try:
+            if is_disable:
+                current_name = file_path
+                new_name = file_path + ".disabled"
+            else:
+                current_name = file_path + ".disabled"
+                new_name = file_path
+
+            os.rename(current_name, new_name)
+
+        except Exception as e:
+            print(f"{action_name}(copy) error: {url} / {e}", file=sys.stderr)
+
+            return False
+
+    print(f"{action_name} was successful.")
+    return True
+
+
+@PromptServer.instance.routes.post("/customnode/install")
+async def install_custom_node(request):
+    if not is_allowed_security_level('middle'):
+        print(SECURITY_MESSAGE_MIDDLE_OR_BELOW)
+        return web.Response(status=403)
+
+    json_data = await request.json()
+
+    risky_level = await get_risky_level(json_data['files'])
+    if not is_allowed_security_level(risky_level):
+        print(SECURITY_MESSAGE_GENERAL)
+        return web.Response(status=404)
+
+    install_type = json_data['install_type']
+
+    print(f"Install custom node '{json_data['title']}'")
+
+    res = False
+
+    if len(json_data['files']) == 0:
+        return web.Response(status=400)
+
+    if install_type == "unzip":
+        res = unzip_install(json_data['files'])
+
+    if install_type == "copy":
+        js_path_name = json_data['js_path'] if 'js_path' in json_data else '.'
+        res = copy_install(json_data['files'], js_path_name)
+
+    elif install_type == "git-clone":
+        res = core.gitclone_install(json_data['files'])
+
+    if 'pip' in json_data:
+        for pname in json_data['pip']:
+            pkg = core.remap_pip_package(pname)
+            install_cmd = [sys.executable, "-m", "pip", "install", pkg]
+            core.try_install_script(json_data['files'][0], ".", install_cmd)
+
+    core.clear_pip_cache()
+
+    if res:
+        print(f"After restarting ComfyUI, please refresh the browser.")
+        return web.json_response({}, content_type='application/json')
+
+    return web.Response(status=400)
+
+
+@PromptServer.instance.routes.post("/customnode/fix")
+async def fix_custom_node(request):
+    if not is_allowed_security_level('middle'):
+        print(SECURITY_MESSAGE_MIDDLE_OR_BELOW)
+        return web.Response(status=403)
+
+    json_data = await request.json()
+
+    install_type = json_data['install_type']
+
+    print(f"Install custom node '{json_data['title']}'")
+
+    res = False
+
+    if len(json_data['files']) == 0:
+        return web.Response(status=400)
+
+    if install_type == "git-clone":
+        res = core.gitclone_fix(json_data['files'])
+    else:
+        return web.Response(status=400)
+
+    if 'pip' in json_data:
+        for pname in json_data['pip']:
+            install_cmd = [sys.executable, "-m", "pip", "install", '-U', pname]
+            core.try_install_script(json_data['files'][0], ".", install_cmd)
+
+    # HOTFIX: force downgrade to numpy<2
+    install_cmd = [sys.executable, "-m", "pip", "install", "numpy<2"]
+    core.try_install_script(json_data['files'][0], ".", install_cmd)
+
+    if res:
+        print(f"After restarting ComfyUI, please refresh the browser.")
+        return web.json_response({}, content_type='application/json')
+
+    return web.Response(status=400)
+
+
+@PromptServer.instance.routes.post("/customnode/install/git_url")
+async def install_custom_node_git_url(request):
+    if not is_allowed_security_level('high'):
+        print(SECURITY_MESSAGE_NORMAL_MINUS)
+        return web.Response(status=403)
+
+    url = await request.text()
+    res = core.gitclone_install([url])
+
+    if res:
+        print(f"After restarting ComfyUI, please refresh the browser.")
+        return web.Response(status=200)
+
+    return web.Response(status=400)
+
+
+@PromptServer.instance.routes.post("/customnode/install/pip")
+async def install_custom_node_git_url(request):
+    if not is_allowed_security_level('high'):
+        print(SECURITY_MESSAGE_NORMAL_MINUS)
+        return web.Response(status=403)
+
+    packages = await request.text()
+    core.pip_install(packages.split(' '))
+
+    return web.Response(status=200)
+
+
+@PromptServer.instance.routes.post("/customnode/uninstall")
+async def uninstall_custom_node(request):
+    if not is_allowed_security_level('middle'):
+        print(SECURITY_MESSAGE_MIDDLE_OR_BELOW)
+        return web.Response(status=403)
+
+    json_data = await request.json()
+
+    install_type = json_data['install_type']
+
+    print(f"Uninstall custom node '{json_data['title']}'")
+
+    res = False
+
+    if install_type == "copy":
+        js_path_name = json_data['js_path'] if 'js_path' in json_data else '.'
+        res = copy_uninstall(json_data['files'], js_path_name)
+
+    elif install_type == "git-clone":
+        res = core.gitclone_uninstall(json_data['files'])
+
+    if res:
+        print(f"After restarting ComfyUI, please refresh the browser.")
+        return web.json_response({}, content_type='application/json')
+
+    return web.Response(status=400)
+
+
+@PromptServer.instance.routes.post("/customnode/update")
+async def update_custom_node(request):
+    if not is_allowed_security_level('middle'):
+        print(SECURITY_MESSAGE_MIDDLE_OR_BELOW)
+        return web.Response(status=403)
+
+    json_data = await request.json()
+
+    install_type = json_data['install_type']
+
+    print(f"Update custom node '{json_data['title']}'")
+
+    res = False
+
+    if install_type == "git-clone":
+        res = core.gitclone_update(json_data['files'])
+
+    core.clear_pip_cache()
+
+    if res:
+        print(f"After restarting ComfyUI, please refresh the browser.")
+        return web.json_response({}, content_type='application/json')
+
+    return web.Response(status=400)
+
+
+@PromptServer.instance.routes.get("/comfyui_manager/update_comfyui")
+async def update_comfyui(request):
+    print(f"Update ComfyUI")
+
+    try:
+        repo_path = os.path.dirname(folder_paths.__file__)
+        res = core.update_path(repo_path)
+        if res == "fail":
+            print(f"ComfyUI update fail: The installed ComfyUI does not have a Git repository.")
+            return web.Response(status=400)
+        elif res == "updated":
+            return web.Response(status=201)
+        else:  # skipped
+            return web.Response(status=200)
+    except Exception as e:
+        print(f"ComfyUI update fail: {e}", file=sys.stderr)
+
+    return web.Response(status=400)
+
+
+@PromptServer.instance.routes.post("/customnode/toggle_active")
+async def toggle_active(request):
+    json_data = await request.json()
+
+    install_type = json_data['install_type']
+    is_disabled = json_data['installed'] == "Disabled"
+
+    print(f"Update custom node '{json_data['title']}'")
+
+    res = False
+
+    if install_type == "git-clone":
+        res = core.gitclone_set_active(json_data['files'], not is_disabled)
+    elif install_type == "copy":
+        res = copy_set_active(json_data['files'], not is_disabled, json_data.get('js_path', None))
+
+    if res:
+        return web.json_response({}, content_type='application/json')
+
+    return web.Response(status=400)
+
+
+@PromptServer.instance.routes.post("/model/install")
+async def install_model(request):
+    json_data = await request.json()
+
+    model_path = get_model_path(json_data)
+
+    if not is_allowed_security_level('middle'):
+        print(SECURITY_MESSAGE_MIDDLE_OR_BELOW)
+        return web.Response(status=403)
+
+    if not json_data['filename'].endswith('.safetensors') and not is_allowed_security_level('high'):
+        models_json = await core.get_data_by_mode('cache', 'model-list.json')
+
+        is_belongs_to_whitelist = False
+        for x in models_json['models']:
+            if x.get('url') == json_data['url']:
+                is_belongs_to_whitelist = True
+                break
+
+        if not is_belongs_to_whitelist:
+            print(SECURITY_MESSAGE_NORMAL_MINUS)
+            return web.Response(status=403)
+
+    res = False
+
+    try:
+        if model_path is not None:
+            print(f"Install model '{json_data['name']}' into '{model_path}'")
+
+            model_url = json_data['url']
+            if not core.get_config()['model_download_by_agent'] and (
+                    model_url.startswith('https://github.com') or model_url.startswith('https://huggingface.co') or model_url.startswith('https://heibox.uni-heidelberg.de')):
+                model_dir = get_model_dir(json_data)
+                download_url(model_url, model_dir, filename=json_data['filename'])
+                if model_path.endswith('.zip'):
+                    res = core.unzip(model_path)
+                else:
+                    res = True
+
+                if res:
+                    return web.json_response({}, content_type='application/json')
+            else:
+                res = download_url_with_agent(model_url, model_path)
+                if res and model_path.endswith('.zip'):
+                    res = core.unzip(model_path)
+        else:
+            print(f"Model installation error: invalid model type - {json_data['type']}")
+
+        if res:
+            return web.json_response({}, content_type='application/json')
+    except Exception as e:
+        print(f"[ERROR] {e}", file=sys.stderr)
+
+    return web.Response(status=400)
+
+
+class ManagerTerminalHook:
+    def write_stderr(self, msg):
+        PromptServer.instance.send_sync("manager-terminal-feedback", {"data": msg})
+
+    def write_stdout(self, msg):
+        PromptServer.instance.send_sync("manager-terminal-feedback", {"data": msg})
+
+
+manager_terminal_hook = ManagerTerminalHook()
+
+
+@PromptServer.instance.routes.get("/manager/terminal")
+async def terminal_mode(request):
+    if not is_allowed_security_level('high'):
+        print(SECURITY_MESSAGE_NORMAL_MINUS)
+        return web.Response(status=403)
+
+    if "mode" in request.rel_url.query:
+        if request.rel_url.query['mode'] == 'true':
+            sys.__comfyui_manager_terminal_hook.add_hook('cm', manager_terminal_hook)
+        else:
+            sys.__comfyui_manager_terminal_hook.remove_hook('cm')
+
+    return web.Response(status=200)
+
+
+@PromptServer.instance.routes.get("/manager/preview_method")
+async def preview_method(request):
+    if "value" in request.rel_url.query:
+        set_preview_method(request.rel_url.query['value'])
+        core.write_config()
+    else:
+        return web.Response(text=core.manager_funcs.get_current_preview_method(), status=200)
+
+    return web.Response(status=200)
+
+
+@PromptServer.instance.routes.get("/manager/badge_mode")
+async def badge_mode(request):
+    if "value" in request.rel_url.query:
+        set_badge_mode(request.rel_url.query['value'])
+        core.write_config()
+    else:
+        return web.Response(text=core.get_config()['badge_mode'], status=200)
+
+    return web.Response(status=200)
+
+
+@PromptServer.instance.routes.get("/manager/default_ui")
+async def default_ui_mode(request):
+    if "value" in request.rel_url.query:
+        set_default_ui_mode(request.rel_url.query['value'])
+        core.write_config()
+    else:
+        return web.Response(text=core.get_config()['default_ui'], status=200)
+
+    return web.Response(status=200)
+
+
+@PromptServer.instance.routes.get("/manager/component/policy")
+async def component_policy(request):
+    if "value" in request.rel_url.query:
+        set_component_policy(request.rel_url.query['value'])
+        core.write_config()
+    else:
+        return web.Response(text=core.get_config()['component_policy'], status=200)
+
+    return web.Response(status=200)
+
+
+@PromptServer.instance.routes.get("/manager/dbl_click/policy")
+async def dbl_click_policy(request):
+    if "value" in request.rel_url.query:
+        set_double_click_policy(request.rel_url.query['value'])
+        core.write_config()
+    else:
+        return web.Response(text=core.get_config()['double_click_policy'], status=200)
+
+    return web.Response(status=200)
+
+
+@PromptServer.instance.routes.get("/manager/channel_url_list")
+async def channel_url_list(request):
+    channels = core.get_channel_dict()
+    if "value" in request.rel_url.query:
+        channel_url = channels.get(request.rel_url.query['value'])
+        if channel_url is not None:
+            core.get_config()['channel_url'] = channel_url
+            core.write_config()
+    else:
+        selected = 'custom'
+        selected_url = core.get_config()['channel_url']
+
+        for name, url in channels.items():
+            if url == selected_url:
+                selected = name
+                break
+
+        res = {'selected': selected,
+               'list': core.get_channel_list()}
+        return web.json_response(res, status=200)
+
+    return web.Response(status=200)
+
+
+def add_target_blank(html_text):
+    pattern = r'(<a\s+href="[^"]*"\s*[^>]*)(>)'
+
+    def add_target(match):
+        if 'target=' not in match.group(1):
+            return match.group(1) + ' target="_blank"' + match.group(2)
+        return match.group(0)
+
+    modified_html = re.sub(pattern, add_target, html_text)
+
+    return modified_html
+
+
+@PromptServer.instance.routes.get("/manager/notice")
+async def get_notice(request):
+    url = "github.com"
+    path = "/ltdrdata/ltdrdata.github.io/wiki/News"
+
+    async with aiohttp.ClientSession(trust_env=True, connector=aiohttp.TCPConnector(verify_ssl=False)) as session:
+        async with session.get(f"https://{url}{path}") as response:
+            if response.status == 200:
+                # html_content = response.read().decode('utf-8')
+                html_content = await response.text()
+
+                pattern = re.compile(r'<div class="markdown-body">([\s\S]*?)</div>')
+                match = pattern.search(html_content)
+
+                if match:
+                    markdown_content = match.group(1)
+                    markdown_content += f"<HR>ComfyUI: {core.comfy_ui_revision}[{comfy_ui_hash[:6]}]({core.comfy_ui_commit_datetime.date()})"
+                    # markdown_content += f"<BR>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;()"
+                    markdown_content += f"<BR>Manager: {core.version_str}"
+
+                    markdown_content = add_target_blank(markdown_content)
+
+                    try:
+                        if core.comfy_ui_required_commit_datetime.date() > core.comfy_ui_commit_datetime.date():
+                            markdown_content = f'<P style="text-align: center; color:red; background-color:white; font-weight:bold">Your ComfyUI is too OUTDATED!!!</P>' + markdown_content
+                    except:
+                        pass
+
+                    return web.Response(text=markdown_content, status=200)
+                else:
+                    return web.Response(text="Unable to retrieve Notice", status=200)
+            else:
+                return web.Response(text="Unable to retrieve Notice", status=200)
+
+
+@PromptServer.instance.routes.get("/manager/reboot")
+def restart(self):
+    if not is_allowed_security_level('middle'):
+        print(SECURITY_MESSAGE_MIDDLE_OR_BELOW)
+        return web.Response(status=403)
+
+    try:
+        sys.stdout.close_log()
+    except Exception as e:
+        pass
+
+    if '__COMFY_CLI_SESSION__' in os.environ:
+        with open(os.path.join(os.environ['__COMFY_CLI_SESSION__'] + '.reboot'), 'w') as file:
+            pass
+
+        print(f"\nRestarting...\n\n")
+        exit(0)
+
+    print(f"\nRestarting... [Legacy Mode]\n\n")
+    if sys.platform.startswith('win32'):
+        return os.execv(sys.executable, ['"' + sys.executable + '"', '"' + sys.argv[0] + '"'] + sys.argv[1:])
+    else:
+        return os.execv(sys.executable, [sys.executable] + sys.argv)
+
+
+def sanitize_filename(input_string):
+    # 알파벳, 숫자, 및 밑줄 이외의 문자를 밑줄로 대체
+    result_string = re.sub(r'[^a-zA-Z0-9_]', '_', input_string)
+    return result_string
+
+
+@PromptServer.instance.routes.post("/manager/component/save")
+async def save_component(request):
+    try:
+        data = await request.json()
+        name = data['name']
+        workflow = data['workflow']
+
+        if not os.path.exists(components_path):
+            os.mkdir(components_path)
+
+        if 'packname' in workflow and workflow['packname'] != '':
+            sanitized_name = sanitize_filename(workflow['packname']) + '.pack'
+        else:
+            sanitized_name = sanitize_filename(name) + '.json'
+
+        filepath = os.path.join(components_path, sanitized_name)
+        components = {}
+        if os.path.exists(filepath):
+            with open(filepath) as f:
+                components = json.load(f)
+
+        components[name] = workflow
+
+        with open(filepath, 'w') as f:
+            json.dump(components, f, indent=4, sort_keys=True)
+        return web.Response(text=filepath, status=200)
+    except:
+        return web.Response(status=400)
+
+
+@PromptServer.instance.routes.post("/manager/component/loads")
+async def load_components(request):
+    try:
+        json_files = [f for f in os.listdir(components_path) if f.endswith('.json')]
+        pack_files = [f for f in os.listdir(components_path) if f.endswith('.pack')]
+
+        components = {}
+        for json_file in json_files + pack_files:
+            file_path = os.path.join(components_path, json_file)
+            with open(file_path, 'r') as file:
+                try:
+                    # When there is a conflict between the .pack and the .json, the pack takes precedence and overrides.
+                    components.update(json.load(file))
+                except json.JSONDecodeError as e:
+                    print(f"[ComfyUI-Manager] Error decoding component file in file {json_file}: {e}")
+
+        return web.json_response(components)
+    except Exception as e:
+        print(f"[ComfyUI-Manager] failed to load components\n{e}")
+        return web.Response(status=400)
+
+
+args.enable_cors_header = "*"
+if hasattr(PromptServer.instance, "app"):
+    app = PromptServer.instance.app
+    cors_middleware = server.create_cors_middleware(args.enable_cors_header)
+    app.middlewares.append(cors_middleware)
+
+
+def sanitize(data):
+    return data.replace("<", "&lt;").replace(">", "&gt;")
+
+
+async def _confirm_try_install(sender, custom_node_url, msg):
+    json_obj = await core.get_data_by_mode('default', 'custom-node-list.json')
+
+    sender = sanitize(sender)
+    msg = sanitize(msg)
+    target = core.lookup_customnode_by_url(json_obj, custom_node_url)
+
+    if target is not None:
+        PromptServer.instance.send_sync("cm-api-try-install-customnode",
+                                        {"sender": sender, "target": target, "msg": msg})
+    else:
+        print(f"[ComfyUI Manager API] Failed to try install - Unknown custom node url '{custom_node_url}'")
+
+
+def confirm_try_install(sender, custom_node_url, msg):
+    asyncio.run(_confirm_try_install(sender, custom_node_url, msg))
+
+
+cm_global.register_api('cm.try-install-custom-node', confirm_try_install)
+
+import asyncio
+
+
+async def default_cache_update():
+    async def get_cache(filename):
+        uri = 'https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/' + filename
+        cache_uri = str(core.simple_hash(uri)) + '_' + filename
+        cache_uri = os.path.join(core.cache_dir, cache_uri)
+
+        json_obj = await core.get_data(uri, True)
+
+        with core.cache_lock:
+            with open(cache_uri, "w", encoding='utf-8') as file:
+                json.dump(json_obj, file, indent=4, sort_keys=True)
+                print(f"[ComfyUI-Manager] default cache updated: {uri}")
+
+    a = get_cache("custom-node-list.json")
+    b = get_cache("extension-node-map.json")
+    c = get_cache("model-list.json")
+    d = get_cache("alter-list.json")
+    e = get_cache("github-stats.json")
+
+    await asyncio.gather(a, b, c, d, e)
+
+
+threading.Thread(target=lambda: asyncio.run(default_cache_update())).start()
+
+if not os.path.exists(core.config_path):
+    core.get_config()
+    core.write_config()
+
+
+cm_global.register_extension('ComfyUI-Manager',
+                             {'version': core.version,
+                                 'name': 'ComfyUI Manager',
+                                 'nodes': {'Terminal Log //CM'},
+                                 'description': 'It provides the ability to manage custom nodes in ComfyUI.', })
+
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_util.py b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_util.py
new file mode 100644
index 0000000000000000000000000000000000000000..c8a93d7b0b03bf2ff43e5637e3818bc42e92eed8
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/manager_util.py
@@ -0,0 +1,64 @@
+# DON'T USE StrictVersion - cannot handle pre_release version
+# try:
+#     from distutils.version import StrictVersion
+# except:
+#     print(f"[ComfyUI-Manager]  'distutils' package not found. Activating fallback mode for compatibility.")
+class StrictVersion:
+    def __init__(self, version_string):
+        self.version_string = version_string
+        self.major = 0
+        self.minor = 0
+        self.patch = 0
+        self.pre_release = None
+        self.parse_version_string()
+
+    def parse_version_string(self):
+        parts = self.version_string.split('.')
+        if not parts:
+            raise ValueError("Version string must not be empty")
+
+        self.major = int(parts[0])
+        self.minor = int(parts[1]) if len(parts) > 1 else 0
+        self.patch = int(parts[2]) if len(parts) > 2 else 0
+
+        # Handling pre-release versions if present
+        if len(parts) > 3:
+            self.pre_release = parts[3]
+
+    def __str__(self):
+        version = f"{self.major}.{self.minor}.{self.patch}"
+        if self.pre_release:
+            version += f"-{self.pre_release}"
+        return version
+
+    def __eq__(self, other):
+        return (self.major, self.minor, self.patch, self.pre_release) == \
+            (other.major, other.minor, other.patch, other.pre_release)
+
+    def __lt__(self, other):
+        if (self.major, self.minor, self.patch) == (other.major, other.minor, other.patch):
+            return self.pre_release_compare(self.pre_release, other.pre_release) < 0
+        return (self.major, self.minor, self.patch) < (other.major, other.minor, other.patch)
+
+    @staticmethod
+    def pre_release_compare(pre1, pre2):
+        if pre1 == pre2:
+            return 0
+        if pre1 is None:
+            return 1
+        if pre2 is None:
+            return -1
+        return -1 if pre1 < pre2 else 1
+
+    def __le__(self, other):
+        return self == other or self < other
+
+    def __gt__(self, other):
+        return not self <= other
+
+    def __ge__(self, other):
+        return not self < other
+
+    def __ne__(self, other):
+        return not self == other
+
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/glob/security_check.py b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/security_check.py
new file mode 100644
index 0000000000000000000000000000000000000000..12fe527c1f1d2a510255c9c300d7a03839d43fdf
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/security_check.py
@@ -0,0 +1,92 @@
+import sys
+import subprocess
+import os
+
+
+def security_check():
+    print("[START] Security scan")
+
+    custom_nodes_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..'))
+    comfyui_path = os.path.abspath(os.path.join(custom_nodes_path, '..'))
+
+    guide = {
+        "ComfyUI_LLMVISION": """
+0.Remove ComfyUI\\custom_nodes\\ComfyUI_LLMVISION.
+1.Remove pip packages: openai-1.16.3.dist-info, anthropic-0.21.4.dist-info, openai-1.30.2.dist-info, anthropic-0.21.5.dist-info, anthropic-0.26.1.dist-info, %LocalAppData%\\rundll64.exe
+  (For portable versions, it is recommended to reinstall. If you are using a venv, it is advised to recreate the venv.)
+2.Remove these files in your system: lib/browser/admin.py, Cadmino.py, Fadmino.py, VISION-D.exe, BeamNG.UI.exe
+3.Check your Windows registry for the key listed above and remove it.
+  (HKEY_CURRENT_USER\\Software\\OpenAICLI)
+4.Run a malware scanner.
+5.Change all of your passwords, everywhere.
+
+(Reinstall OS is recommended.)
+\n
+Detailed information: https://old.reddit.com/r/comfyui/comments/1dbls5n/psa_if_youve_used_the_comfyui_llmvision_node_from/
+    """,
+        "lolMiner": """
+1. Remove pip packages: lolMiner*
+2. Remove files: lolMiner*, 4G_Ethash_Linux_Readme.txt, mine* in ComfyUI dir.
+
+(Reinstall ComfyUI is recommended.)
+    """
+             }
+
+    node_blacklist = {"ComfyUI_LLMVISION": "ComfyUI_LLMVISION"}
+
+    pip_blacklist = {"AppleBotzz": "ComfyUI_LLMVISION"}
+
+    file_blacklist = {
+        "ComfyUI_LLMVISION": ["%LocalAppData%\\rundll64.exe"],
+        "lolMiner": [os.path.join(comfyui_path, 'lolMiner')]
+    }
+
+    installed_pips = subprocess.check_output([sys.executable, '-m', "pip", "freeze"], text=True)
+
+    detected = set()
+    try:
+        anthropic_info = subprocess.check_output([sys.executable, '-m', "pip", "show", "anthropic"], text=True, stderr=subprocess.DEVNULL)
+        anthropic_reqs = [x for x in anthropic_info.split('\n') if x.startswith("Requires")][0].split(': ')[1]
+        if "pycrypto" in anthropic_reqs:
+            location = [x for x in anthropic_info.split('\n') if x.startswith("Location")][0].split(': ')[1]
+            for fi in os.listdir(location):
+                if fi.startswith("anthropic"):
+                    guide["ComfyUI_LLMVISION"] = f"\n0.Remove {os.path.join(location, fi)}" + guide["ComfyUI_LLMVISION"]
+                    detected.add("ComfyUI_LLMVISION")
+    except subprocess.CalledProcessError:
+        pass
+
+    for k, v in node_blacklist.items():
+        if os.path.exists(os.path.join(custom_nodes_path, k)):
+            print(f"[SECURITY ALERT] custom node '{k}' is dangerous.")
+            detected.add(v)
+
+    for k, v in pip_blacklist.items():
+        if k in installed_pips:
+            detected.add(v)
+            break
+
+    for k, v in file_blacklist.items():
+        for x in v:
+            if os.path.exists(os.path.expandvars(x)):
+                detected.add(k)
+                break
+
+    if len(detected) > 0:
+        for line in installed_pips.split('\n'):
+            for k, v in pip_blacklist.items():
+                if k in line:
+                    print(f"[SECURITY ALERT] '{line}' is dangerous.")
+
+        print("\n########################################################################")
+        print("   Malware has been detected, forcibly terminating ComfyUI execution.")
+        print("########################################################################\n")
+
+        for x in detected:
+            print(f"\n======== TARGET: {x} =========")
+            print(f"\nTODO:")
+            print(guide.get(x))
+
+        exit(-1)
+
+    print("[DONE] Security scan")
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/glob/share_3rdparty.py b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/share_3rdparty.py
new file mode 100644
index 0000000000000000000000000000000000000000..fd5fc9147d51e698f0b9d417f126270f08d7894d
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/glob/share_3rdparty.py
@@ -0,0 +1,386 @@
+import mimetypes
+import manager_core as core
+import os
+from aiohttp import web
+import aiohttp
+import json
+import hashlib
+
+import folder_paths
+from server import PromptServer
+
+
+def extract_model_file_names(json_data):
+    """Extract unique file names from the input JSON data."""
+    file_names = set()
+    model_filename_extensions = {'.safetensors', '.ckpt', '.pt', '.pth', '.bin'}
+
+    # Recursively search for file names in the JSON data
+    def recursive_search(data):
+        if isinstance(data, dict):
+            for value in data.values():
+                recursive_search(value)
+        elif isinstance(data, list):
+            for item in data:
+                recursive_search(item)
+        elif isinstance(data, str) and '.' in data:
+            file_names.add(os.path.basename(data))  # file_names.add(data)
+
+    recursive_search(json_data)
+    return [f for f in list(file_names) if os.path.splitext(f)[1] in model_filename_extensions]
+
+
+def find_file_paths(base_dir, file_names):
+    """Find the paths of the files in the base directory."""
+    file_paths = {}
+
+    for root, dirs, files in os.walk(base_dir):
+        # Exclude certain directories
+        dirs[:] = [d for d in dirs if d not in ['.git']]
+
+        for file in files:
+            if file in file_names:
+                file_paths[file] = os.path.join(root, file)
+    return file_paths
+
+
+def compute_sha256_checksum(filepath):
+    """Compute the SHA256 checksum of a file, in chunks"""
+    sha256 = hashlib.sha256()
+    with open(filepath, 'rb') as f:
+        for chunk in iter(lambda: f.read(4096), b''):
+            sha256.update(chunk)
+    return sha256.hexdigest()
+
+
+@PromptServer.instance.routes.get("/manager/share_option")
+async def share_option(request):
+    if "value" in request.rel_url.query:
+        core.get_config()['share_option'] = request.rel_url.query['value']
+        core.write_config()
+    else:
+        return web.Response(text=core.get_config()['share_option'], status=200)
+
+    return web.Response(status=200)
+
+
+def get_openart_auth():
+    if not os.path.exists(os.path.join(core.comfyui_manager_path, ".openart_key")):
+        return None
+    try:
+        with open(os.path.join(core.comfyui_manager_path, ".openart_key"), "r") as f:
+            openart_key = f.read().strip()
+        return openart_key if openart_key else None
+    except:
+        return None
+
+
+def get_matrix_auth():
+    if not os.path.exists(os.path.join(core.comfyui_manager_path, "matrix_auth")):
+        return None
+    try:
+        with open(os.path.join(core.comfyui_manager_path, "matrix_auth"), "r") as f:
+            matrix_auth = f.read()
+            homeserver, username, password = matrix_auth.strip().split("\n")
+            if not homeserver or not username or not password:
+                return None
+        return {
+            "homeserver": homeserver,
+            "username": username,
+            "password": password,
+        }
+    except:
+        return None
+
+
+def get_comfyworkflows_auth():
+    if not os.path.exists(os.path.join(core.comfyui_manager_path, "comfyworkflows_sharekey")):
+        return None
+    try:
+        with open(os.path.join(core.comfyui_manager_path, "comfyworkflows_sharekey"), "r") as f:
+            share_key = f.read()
+            if not share_key.strip():
+                return None
+        return share_key
+    except:
+        return None
+
+
+def get_youml_settings():
+    if not os.path.exists(os.path.join(core.comfyui_manager_path, ".youml")):
+        return None
+    try:
+        with open(os.path.join(core.comfyui_manager_path, ".youml"), "r") as f:
+            youml_settings = f.read().strip()
+        return youml_settings if youml_settings else None
+    except:
+        return None
+
+
+def set_youml_settings(settings):
+    with open(os.path.join(core.comfyui_manager_path, ".youml"), "w") as f:
+        f.write(settings)
+
+
+@PromptServer.instance.routes.get("/manager/get_openart_auth")
+async def api_get_openart_auth(request):
+    # print("Getting stored Matrix credentials...")
+    openart_key = get_openart_auth()
+    if not openart_key:
+        return web.Response(status=404)
+    return web.json_response({"openart_key": openart_key})
+
+
+@PromptServer.instance.routes.post("/manager/set_openart_auth")
+async def api_set_openart_auth(request):
+    json_data = await request.json()
+    openart_key = json_data['openart_key']
+    with open(os.path.join(core.comfyui_manager_path, ".openart_key"), "w") as f:
+        f.write(openart_key)
+    return web.Response(status=200)
+
+
+@PromptServer.instance.routes.get("/manager/get_matrix_auth")
+async def api_get_matrix_auth(request):
+    # print("Getting stored Matrix credentials...")
+    matrix_auth = get_matrix_auth()
+    if not matrix_auth:
+        return web.Response(status=404)
+    return web.json_response(matrix_auth)
+
+
+@PromptServer.instance.routes.get("/manager/youml/settings")
+async def api_get_youml_settings(request):
+    youml_settings = get_youml_settings()
+    if not youml_settings:
+        return web.Response(status=404)
+    return web.json_response(json.loads(youml_settings))
+
+
+@PromptServer.instance.routes.post("/manager/youml/settings")
+async def api_set_youml_settings(request):
+    json_data = await request.json()
+    set_youml_settings(json.dumps(json_data))
+    return web.Response(status=200)
+
+
+@PromptServer.instance.routes.get("/manager/get_comfyworkflows_auth")
+async def api_get_comfyworkflows_auth(request):
+    # Check if the user has provided Matrix credentials in a file called 'matrix_accesstoken'
+    # in the same directory as the ComfyUI base folder
+    # print("Getting stored Comfyworkflows.com auth...")
+    comfyworkflows_auth = get_comfyworkflows_auth()
+    if not comfyworkflows_auth:
+        return web.Response(status=404)
+    return web.json_response({"comfyworkflows_sharekey": comfyworkflows_auth})
+
+
+@PromptServer.instance.routes.post("/manager/set_esheep_workflow_and_images")
+async def set_esheep_workflow_and_images(request):
+    json_data = await request.json()
+    current_workflow = json_data['workflow']
+    images = json_data['images']
+    with open(os.path.join(core.comfyui_manager_path, "esheep_share_message.json"), "w", encoding='utf-8') as file:
+        json.dump(json_data, file, indent=4)
+        return web.Response(status=200)
+
+
+@PromptServer.instance.routes.get("/manager/get_esheep_workflow_and_images")
+async def get_esheep_workflow_and_images(request):
+    with open(os.path.join(core.comfyui_manager_path, "esheep_share_message.json"), 'r', encoding='utf-8') as file:
+        data = json.load(file)
+        return web.Response(status=200, text=json.dumps(data))
+
+
+def set_matrix_auth(json_data):
+    homeserver = json_data['homeserver']
+    username = json_data['username']
+    password = json_data['password']
+    with open(os.path.join(core.comfyui_manager_path, "matrix_auth"), "w") as f:
+        f.write("\n".join([homeserver, username, password]))
+
+
+def set_comfyworkflows_auth(comfyworkflows_sharekey):
+    with open(os.path.join(core.comfyui_manager_path, "comfyworkflows_sharekey"), "w") as f:
+        f.write(comfyworkflows_sharekey)
+
+
+def has_provided_matrix_auth(matrix_auth):
+    return matrix_auth['homeserver'].strip() and matrix_auth['username'].strip() and matrix_auth['password'].strip()
+
+
+def has_provided_comfyworkflows_auth(comfyworkflows_sharekey):
+    return comfyworkflows_sharekey.strip()
+
+
+@PromptServer.instance.routes.post("/manager/share")
+async def share_art(request):
+    # get json data
+    json_data = await request.json()
+
+    matrix_auth = json_data['matrix_auth']
+    comfyworkflows_sharekey = json_data['cw_auth']['cw_sharekey']
+
+    set_matrix_auth(matrix_auth)
+    set_comfyworkflows_auth(comfyworkflows_sharekey)
+
+    share_destinations = json_data['share_destinations']
+    credits = json_data['credits']
+    title = json_data['title']
+    description = json_data['description']
+    is_nsfw = json_data['is_nsfw']
+    prompt = json_data['prompt']
+    potential_outputs = json_data['potential_outputs']
+    selected_output_index = json_data['selected_output_index']
+
+    try:
+        output_to_share = potential_outputs[int(selected_output_index)]
+    except:
+        # for now, pick the first output
+        output_to_share = potential_outputs[0]
+
+    assert output_to_share['type'] in ('image', 'output')
+    output_dir = folder_paths.get_output_directory()
+
+    if output_to_share['type'] == 'image':
+        asset_filename = output_to_share['image']['filename']
+        asset_subfolder = output_to_share['image']['subfolder']
+
+        if output_to_share['image']['type'] == 'temp':
+            output_dir = folder_paths.get_temp_directory()
+    else:
+        asset_filename = output_to_share['output']['filename']
+        asset_subfolder = output_to_share['output']['subfolder']
+
+    if asset_subfolder:
+        asset_filepath = os.path.join(output_dir, asset_subfolder, asset_filename)
+    else:
+        asset_filepath = os.path.join(output_dir, asset_filename)
+
+    # get the mime type of the asset
+    assetFileType = mimetypes.guess_type(asset_filepath)[0]
+
+    share_website_host = "UNKNOWN"
+    if "comfyworkflows" in share_destinations:
+        share_website_host = "https://comfyworkflows.com"
+        share_endpoint = f"{share_website_host}/api"
+
+        # get presigned urls
+        async with aiohttp.ClientSession(trust_env=True, connector=aiohttp.TCPConnector(verify_ssl=False)) as session:
+            async with session.post(
+                    f"{share_endpoint}/get_presigned_urls",
+                    json={
+                        "assetFileName": asset_filename,
+                        "assetFileType": assetFileType,
+                        "workflowJsonFileName": 'workflow.json',
+                        "workflowJsonFileType": 'application/json',
+                    },
+            ) as resp:
+                assert resp.status == 200
+                presigned_urls_json = await resp.json()
+                assetFilePresignedUrl = presigned_urls_json["assetFilePresignedUrl"]
+                assetFileKey = presigned_urls_json["assetFileKey"]
+                workflowJsonFilePresignedUrl = presigned_urls_json["workflowJsonFilePresignedUrl"]
+                workflowJsonFileKey = presigned_urls_json["workflowJsonFileKey"]
+
+        # upload asset
+        async with aiohttp.ClientSession(trust_env=True, connector=aiohttp.TCPConnector(verify_ssl=False)) as session:
+            async with session.put(assetFilePresignedUrl, data=open(asset_filepath, "rb")) as resp:
+                assert resp.status == 200
+
+        # upload workflow json
+        async with aiohttp.ClientSession(trust_env=True, connector=aiohttp.TCPConnector(verify_ssl=False)) as session:
+            async with session.put(workflowJsonFilePresignedUrl, data=json.dumps(prompt['workflow']).encode('utf-8')) as resp:
+                assert resp.status == 200
+
+        model_filenames = extract_model_file_names(prompt['workflow'])
+        model_file_paths = find_file_paths(folder_paths.base_path, model_filenames)
+
+        models_info = {}
+        for filename, filepath in model_file_paths.items():
+            models_info[filename] = {
+                "filename": filename,
+                "sha256_checksum": compute_sha256_checksum(filepath),
+                "relative_path": os.path.relpath(filepath, folder_paths.base_path),
+            }
+
+        # make a POST request to /api/upload_workflow with form data key values
+        async with aiohttp.ClientSession(trust_env=True, connector=aiohttp.TCPConnector(verify_ssl=False)) as session:
+            form = aiohttp.FormData()
+            if comfyworkflows_sharekey:
+                form.add_field("shareKey", comfyworkflows_sharekey)
+            form.add_field("source", "comfyui_manager")
+            form.add_field("assetFileKey", assetFileKey)
+            form.add_field("assetFileType", assetFileType)
+            form.add_field("workflowJsonFileKey", workflowJsonFileKey)
+            form.add_field("sharedWorkflowWorkflowJsonString", json.dumps(prompt['workflow']))
+            form.add_field("sharedWorkflowPromptJsonString", json.dumps(prompt['output']))
+            form.add_field("shareWorkflowCredits", credits)
+            form.add_field("shareWorkflowTitle", title)
+            form.add_field("shareWorkflowDescription", description)
+            form.add_field("shareWorkflowIsNSFW", str(is_nsfw).lower())
+            form.add_field("currentSnapshot", json.dumps(core.get_current_snapshot()))
+            form.add_field("modelsInfo", json.dumps(models_info))
+
+            async with session.post(
+                    f"{share_endpoint}/upload_workflow",
+                    data=form,
+            ) as resp:
+                assert resp.status == 200
+                upload_workflow_json = await resp.json()
+                workflowId = upload_workflow_json["workflowId"]
+
+    # check if the user has provided Matrix credentials
+    if "matrix" in share_destinations:
+        comfyui_share_room_id = '!LGYSoacpJPhIfBqVfb:matrix.org'
+        filename = os.path.basename(asset_filepath)
+        content_type = assetFileType
+
+        try:
+            from matrix_client.api import MatrixHttpApi
+            from matrix_client.client import MatrixClient
+
+            homeserver = 'matrix.org'
+            if matrix_auth:
+                homeserver = matrix_auth.get('homeserver', 'matrix.org')
+            homeserver = homeserver.replace("http://", "https://")
+            if not homeserver.startswith("https://"):
+                homeserver = "https://" + homeserver
+
+            client = MatrixClient(homeserver)
+            try:
+                token = client.login(username=matrix_auth['username'], password=matrix_auth['password'])
+                if not token:
+                    return web.json_response({"error": "Invalid Matrix credentials."}, content_type='application/json', status=400)
+            except:
+                return web.json_response({"error": "Invalid Matrix credentials."}, content_type='application/json', status=400)
+
+            matrix = MatrixHttpApi(homeserver, token=token)
+            with open(asset_filepath, 'rb') as f:
+                mxc_url = matrix.media_upload(f.read(), content_type, filename=filename)['content_uri']
+
+            workflow_json_mxc_url = matrix.media_upload(prompt['workflow'], 'application/json', filename='workflow.json')['content_uri']
+
+            text_content = ""
+            if title:
+                text_content += f"{title}\n"
+            if description:
+                text_content += f"{description}\n"
+            if credits:
+                text_content += f"\ncredits: {credits}\n"
+            response = matrix.send_message(comfyui_share_room_id, text_content)
+            response = matrix.send_content(comfyui_share_room_id, mxc_url, filename, 'm.image')
+            response = matrix.send_content(comfyui_share_room_id, workflow_json_mxc_url, 'workflow.json', 'm.file')
+        except:
+            import traceback
+            traceback.print_exc()
+            return web.json_response({"error": "An error occurred when sharing your art to Matrix."}, content_type='application/json', status=500)
+
+    return web.json_response({
+        "comfyworkflows": {
+            "url": None if "comfyworkflows" not in share_destinations else f"{share_website_host}/workflows/{workflowId}",
+        },
+        "matrix": {
+            "success": None if "matrix" not in share_destinations else True
+        }
+    }, content_type='application/json', status=200)
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/cm-api.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/cm-api.js
new file mode 100644
index 0000000000000000000000000000000000000000..95a13cfb8d9a3a60d8cf0eb7f426db97f3bf9f8a
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/cm-api.js
@@ -0,0 +1,63 @@
+import { api } from "../../scripts/api.js";
+import { app } from "../../scripts/app.js";
+import { sleep } from "./common.js";
+
+async function tryInstallCustomNode(event) {
+	let msg = '-= [ComfyUI Manager] extension installation request =-\n\n';
+	msg += `The '${event.detail.sender}' extension requires the installation of the '${event.detail.target.title}' extension. `;
+
+	if(event.detail.target.installed == 'Disabled') {
+		msg += 'However, the extension is currently disabled. Would you like to enable it and reboot?'
+	}
+	else if(event.detail.target.installed == 'True') {
+		msg += 'However, it seems that the extension is in an import-fail state or is not compatible with the current version. Please address this issue.';
+	}
+	else {
+		msg += `Would you like to install it and reboot?`;
+	}
+
+	msg += `\n\nRequest message:\n${event.detail.msg}`;
+
+	if(event.detail.target.installed == 'True') {
+		alert(msg);
+		return;
+	}
+
+	let res = confirm(msg);
+	if(res) {
+		if(event.detail.target.installed == 'Disabled') {
+			const response = await api.fetchApi(`/customnode/toggle_active`, {
+										method: 'POST',
+										headers: { 'Content-Type': 'application/json' },
+										body: JSON.stringify(event.detail.target)
+									});
+		}
+		else {
+			await sleep(300);
+			app.ui.dialog.show(`Installing... '${event.detail.target.title}'`);
+
+			const response = await api.fetchApi(`/customnode/install`, {
+										method: 'POST',
+										headers: { 'Content-Type': 'application/json' },
+										body: JSON.stringify(event.detail.target)
+									});
+
+			if(response.status == 403) {
+				show_message('This action is not allowed with this security level configuration.');
+				return false;
+			}
+		}
+
+		let response = await api.fetchApi("/manager/reboot");
+		if(response.status == 403) {
+			show_message('This action is not allowed with this security level configuration.');
+			return false;
+		}
+
+		await sleep(300);
+
+		app.ui.dialog.show(`Rebooting...`);
+	}
+}
+
+api.addEventListener("cm-api-try-install-customnode", tryInstallCustomNode);
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-manager.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-manager.js
new file mode 100644
index 0000000000000000000000000000000000000000..ee825bdef2c71ab5620a5552bd7ade474b5ebf78
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-manager.js
@@ -0,0 +1,1513 @@
+import { api } from "../../scripts/api.js";
+import { app } from "../../scripts/app.js";
+import { $el, ComfyDialog } from "../../scripts/ui.js";
+import {
+	SUPPORTED_OUTPUT_NODE_TYPES,
+	ShareDialog,
+	ShareDialogChooser,
+	getPotentialOutputsAndOutputNodes,
+	showOpenArtShareDialog,
+	showShareDialog,
+	showYouMLShareDialog
+} from "./comfyui-share-common.js";
+import { OpenArtShareDialog } from "./comfyui-share-openart.js";
+import { free_models, install_pip, install_via_git_url, manager_instance, rebootAPI, setManagerInstance, show_message } from "./common.js";
+import { ComponentBuilderDialog, getPureName, load_components, set_component_policy } from "./components-manager.js";
+import { CustomNodesManager } from "./custom-nodes-manager.js";
+import { ModelManager } from "./model-manager.js";
+import { set_double_click_policy } from "./node_fixer.js";
+import { SnapshotManager } from "./snapshot.js";
+
+var docStyle = document.createElement('style');
+docStyle.innerHTML = `
+.comfy-toast {
+	position: fixed;
+	bottom: 20px;
+	left: 50%;
+	transform: translateX(-50%);
+	background-color: rgba(0, 0, 0, 0.7);
+	color: white;
+	padding: 10px 20px;
+	border-radius: 5px;
+	z-index: 1000;
+	transition: opacity 0.5s;
+}
+
+.comfy-toast-fadeout {
+	opacity: 0;
+}
+
+#cm-manager-dialog {
+	width: 1000px;
+	height: 520px;
+	box-sizing: content-box;
+	z-index: 10000;
+	overflow-y: auto;
+}
+
+.cb-widget {
+	width: 400px;
+	height: 25px;
+	box-sizing: border-box;
+	z-index: 10000;
+	margin-top: 10px;
+	margin-bottom: 5px;
+}
+
+.cb-widget-input {
+	width: 305px;
+	height: 25px;
+	box-sizing: border-box;
+}
+.cb-widget-input:disabled {
+	background-color: #444444;
+	color: white;
+}
+
+.cb-widget-input-label {
+	width: 90px;
+	height: 25px;
+	box-sizing: border-box;
+	color: white;
+	text-align: right;
+	display: inline-block;
+	margin-right: 5px;
+}
+
+.cm-menu-container {
+	column-gap: 20px;
+	display: flex;
+	flex-wrap: wrap;
+	justify-content: center;
+	box-sizing: content-box;
+}
+
+.cm-menu-column {
+	display: flex;
+	flex-direction: column;
+	flex: 1 1 auto;
+	width: 300px;
+	box-sizing: content-box;
+}
+
+.cm-title {
+	background-color: black;
+	text-align: center;
+	height: 40px;
+	width: calc(100% - 10px);
+	font-weight: bold;
+	justify-content: center;
+	align-content: center;
+	vertical-align: middle;
+}
+
+#cm-channel-badge {
+	color: white;
+	background-color: #AA0000;
+	width: 220px;
+	height: 23px;
+	font-size: 13px;
+	border-radius: 5px;
+	left: 5px;
+	top: 5px;
+	align-content: center;
+	justify-content: center;
+	text-align: center;
+	font-weight: bold;
+	float: left;
+	vertical-align: middle;
+	position: relative;
+}
+
+#custom-nodes-grid a {
+	color: #5555FF;
+	font-weight: bold;
+	text-decoration: none;
+}
+
+#custom-nodes-grid a:hover {
+	color: #7777FF;
+	text-decoration: underline;
+}
+
+#external-models-grid a {
+	color: #5555FF;
+	font-weight: bold;
+	text-decoration: none;
+}
+
+#external-models-grid a:hover {
+	color: #7777FF;
+	text-decoration: underline;
+}
+
+#alternatives-grid a {
+	color: #5555FF;
+	font-weight: bold;
+	text-decoration: none;
+}
+
+#alternatives-grid a:hover {
+	color: #7777FF;
+	text-decoration: underline;
+}
+
+.cm-notice-board {
+	width: 290px;
+	height: 270px;
+	overflow: auto;
+	color: var(--input-text);
+	border: 1px solid var(--descrip-text);
+	padding: 5px 10px;
+	overflow-x: hidden;
+	box-sizing: content-box;
+}
+
+.cm-notice-board > ul {
+	display: block;
+	list-style-type: disc;
+	margin-block-start: 1em;
+	margin-block-end: 1em;
+	margin-inline-start: 0px;
+	margin-inline-end: 0px;
+	padding-inline-start: 40px;
+}
+
+.cm-conflicted-nodes-text {
+	background-color: #CCCC55 !important;
+	color: #AA3333 !important;
+	font-size: 10px;
+	border-radius: 5px;
+	padding: 10px;
+}
+
+.cm-warn-note {
+	background-color: #101010 !important;
+	color: #FF3800 !important;
+	font-size: 13px;
+	border-radius: 5px;
+	padding: 10px;
+	overflow-x: hidden;
+	overflow: auto;
+}
+
+.cm-info-note {
+	background-color: #101010 !important;
+	color: #FF3800 !important;
+	font-size: 13px;
+	border-radius: 5px;
+	padding: 10px;
+	overflow-x: hidden;
+	overflow: auto;
+}
+`;
+
+document.head.appendChild(docStyle);
+
+var update_comfyui_button = null;
+var fetch_updates_button = null;
+var update_all_button = null;
+var badge_mode = "none";
+let share_option = 'all';
+
+// copied style from https://github.com/pythongosssss/ComfyUI-Custom-Scripts
+const style = `
+#workflowgallery-button {
+	width: 310px;
+	height: 27px;
+	padding: 0px !important;
+	position: relative;
+	overflow: hidden;
+	font-size: 17px !important;
+}
+#cm-nodeinfo-button {
+	width: 310px;
+	height: 27px;
+	padding: 0px !important;
+	position: relative;
+	overflow: hidden;
+	font-size: 17px !important;
+}
+#cm-manual-button {
+	width: 310px;
+	height: 27px;
+	position: relative;
+	overflow: hidden;
+}
+
+.cm-button {
+	width: 310px;
+	height: 30px;
+	position: relative;
+	overflow: hidden;
+	font-size: 17px !important;
+}
+
+.cm-button-red {
+	width: 310px;
+	height: 30px;
+	position: relative;
+	overflow: hidden;
+	font-size: 17px !important;
+	background-color: #500000 !important;
+	color: white !important;
+}
+
+.cm-experimental-button {
+	width: 290px;
+	height: 30px;
+	position: relative;
+	overflow: hidden;
+	font-size: 17px !important;
+}
+
+.cm-experimental {
+	width: 310px;
+	border: 1px solid #555;
+	border-radius: 5px;
+	padding: 10px;
+	align-items: center;
+	text-align: center;
+	justify-content: center;
+	box-sizing: border-box;
+}
+
+.cm-experimental-legend {
+	margin-top: -20px;
+	margin-left: 50%;
+	width:auto;
+	height:20px;
+	font-size: 13px;
+	font-weight: bold;
+	background-color: #990000;
+	color: #CCFFFF;
+	border-radius: 5px;
+	text-align: center;
+	transform: translateX(-50%);
+	display: block;
+}
+
+.cm-menu-combo {
+	cursor: pointer;
+	width: 310px;
+	box-sizing: border-box;
+}
+
+.cm-small-button {
+	width: 120px;
+	height: 30px;
+	position: relative;
+	overflow: hidden;
+	box-sizing: border-box;
+	font-size: 17px !important;
+}
+
+#cm-install-customnodes-button {
+	width: 200px;
+	height: 30px;
+	position: relative;
+	overflow: hidden;
+	box-sizing: border-box;
+	font-size: 17px !important;
+}
+
+.cm-search-filter {
+	width: 200px;
+	height: 30px !important;
+	position: relative;
+	overflow: hidden;
+	box-sizing: border-box;
+}
+
+.cb-node-label {
+	width: 400px;
+	height:28px;
+	color: black;
+	background-color: #777777;
+	font-size: 18px;
+	text-align: center;
+	font-weight: bold;
+}
+
+#cm-close-button {
+	width: calc(100% - 65px);
+	bottom: 10px;
+	position: absolute;
+	overflow: hidden;
+}
+
+#cm-save-button {
+	width: calc(100% - 65px);
+	bottom:40px;
+	position: absolute;
+	overflow: hidden;
+}
+#cm-save-button:disabled {
+	background-color: #444444;
+}
+
+.pysssss-workflow-arrow-2 {
+	position: absolute;
+	top: 0;
+	bottom: 0;
+	right: 0;
+	font-size: 12px;
+	display: flex;
+	align-items: center;
+	width: 24px;
+	justify-content: center;
+	background: rgba(255,255,255,0.1);
+	content: "▼";
+}
+.pysssss-workflow-arrow-2:after {
+	content: "▼";
+ }
+ .pysssss-workflow-arrow-2:hover {
+	filter: brightness(1.6);
+	background-color: var(--comfy-menu-bg);
+ }
+.pysssss-workflow-popup-2 ~ .litecontextmenu {
+	transform: scale(1.3);
+}
+#workflowgallery-button-menu {
+	z-index: 10000000000 !important;
+}
+#cm-manual-button-menu {
+	z-index: 10000000000 !important;
+}
+`;
+
+
+
+async function init_badge_mode() {
+	api.fetchApi('/manager/badge_mode')
+		.then(response => response.text())
+		.then(data => { badge_mode = data; })
+}
+
+async function init_share_option() {
+	api.fetchApi('/manager/share_option')
+		.then(response => response.text())
+		.then(data => {
+			share_option = data || 'all';
+		});
+}
+
+async function init_notice(notice) {
+	api.fetchApi('/manager/notice')
+		.then(response => response.text())
+		.then(data => {
+			notice.innerHTML = data;
+		})
+}
+
+await init_badge_mode();
+await init_share_option();
+
+async function fetchNicknames() {
+	const response1 = await api.fetchApi(`/customnode/getmappings?mode=nickname`);
+	const mappings = await response1.json();
+
+	let result = {};
+	let nickname_patterns = [];
+
+	for (let i in mappings) {
+		let item = mappings[i];
+		var nickname;
+		if (item[1].nickname) {
+			nickname = item[1].nickname;
+		}
+		else if (item[1].title) {
+			nickname = item[1].title;
+		}
+		else {
+			nickname = item[1].title_aux;
+		}
+
+		for (let j in item[0]) {
+			result[item[0][j]] = nickname;
+		}
+
+		if(item[1].nodename_pattern) {
+			nickname_patterns.push([item[1].nodename_pattern, nickname]);
+		}
+	}
+
+	return [result, nickname_patterns];
+}
+
+const [nicknames, nickname_patterns] = await fetchNicknames();
+
+function getNickname(node, nodename) {
+	if(node.nickname) {
+		return node.nickname;
+	}
+	else {
+		if (nicknames[nodename]) {
+			node.nickname = nicknames[nodename];
+		}
+		else if(node.getInnerNodes) {
+			let pure_name = getPureName(node);
+			let groupNode = app.graph.extra?.groupNodes?.[pure_name];
+			if(groupNode) {
+				let packname = groupNode.packname;
+				node.nickname = packname;
+			}
+			return node.nickname;
+		}
+		else {
+			for(let i in nickname_patterns) {
+				let item = nickname_patterns[i];
+				if(nodename.match(item[0])) {
+					node.nickname = item[1];
+				}
+			}
+		}
+
+		return node.nickname;
+	}
+}
+
+function drawBadge(node, orig, restArgs) {
+	let ctx = restArgs[0];
+	const r = orig?.apply?.(node, restArgs);
+
+	if (!node.flags.collapsed && badge_mode != 'none' && node.constructor.title_mode != LiteGraph.NO_TITLE) {
+		let text = "";
+		if (badge_mode.startsWith('id_nick'))
+			text = `#${node.id} `;
+
+		let nick = node.getNickname();
+		if (nick) {
+			if (nick == 'ComfyUI') {
+				if(badge_mode.endsWith('hide')) {
+					nick = "";
+				}
+				else {
+					nick = "🦊"
+				}
+			}
+
+			if (nick.length > 25) {
+				text += nick.substring(0, 23) + "..";
+			}
+			else {
+				text += nick;
+			}
+		}
+
+		if (text != "") {
+			let fgColor = "white";
+			let bgColor = "#0F1F0F";
+			let visible = true;
+
+			ctx.save();
+			ctx.font = "12px sans-serif";
+			const sz = ctx.measureText(text);
+			ctx.fillStyle = bgColor;
+			ctx.beginPath();
+			ctx.roundRect(node.size[0] - sz.width - 12, -LiteGraph.NODE_TITLE_HEIGHT - 20, sz.width + 12, 20, 5);
+			ctx.fill();
+
+			ctx.fillStyle = fgColor;
+			ctx.fillText(text, node.size[0] - sz.width - 6, -LiteGraph.NODE_TITLE_HEIGHT - 6);
+			ctx.restore();
+
+			if (node.has_errors) {
+				ctx.save();
+				ctx.font = "bold 14px sans-serif";
+				const sz2 = ctx.measureText(node.type);
+				ctx.fillStyle = 'white';
+				ctx.fillText(node.type, node.size[0] / 2 - sz2.width / 2, node.size[1] / 2);
+				ctx.restore();
+			}
+		}
+	}
+	return r;
+}
+
+
+async function updateComfyUI() {
+	let prev_text = update_comfyui_button.innerText;
+	update_comfyui_button.innerText = "Updating ComfyUI...";
+	update_comfyui_button.disabled = true;
+	update_comfyui_button.style.backgroundColor = "gray";
+
+	try {
+		const response = await api.fetchApi('/comfyui_manager/update_comfyui');
+
+		if (response.status == 400) {
+			show_message('Failed to update ComfyUI.');
+			return false;
+		}
+
+		if (response.status == 201) {
+			show_message('ComfyUI has been successfully updated.');
+		}
+		else {
+			show_message('ComfyUI is already up to date with the latest version.');
+		}
+
+		return true;
+	}
+	catch (exception) {
+		show_message(`Failed to update ComfyUI / ${exception}`);
+		return false;
+	}
+	finally {
+		update_comfyui_button.disabled = false;
+		update_comfyui_button.innerText = prev_text;
+		update_comfyui_button.style.backgroundColor = "";
+	}
+}
+
+async function fetchUpdates(update_check_checkbox) {
+	let prev_text = fetch_updates_button.innerText;
+	fetch_updates_button.innerText = "Fetching updates...";
+	fetch_updates_button.disabled = true;
+	fetch_updates_button.style.backgroundColor = "gray";
+
+	try {
+		var mode = manager_instance.datasrc_combo.value;
+
+		const response = await api.fetchApi(`/customnode/fetch_updates?mode=${mode}`);
+
+		if (response.status != 200 && response.status != 201) {
+			show_message('Failed to fetch updates.');
+			return false;
+		}
+
+		if (response.status == 201) {
+			show_message("There is an updated extension available.<BR><BR><P><B>NOTE:<BR>Fetch Updates is not an update.<BR>Please update from <button id='cm-install-customnodes-button'>Install Custom Nodes</button> </B></P>");
+
+			const button = document.getElementById('cm-install-customnodes-button');
+			button.addEventListener("click",
+				async function() {
+					app.ui.dialog.close();
+
+					if(!CustomNodesManager.instance) {
+						CustomNodesManager.instance = new CustomNodesManager(app, self);
+					}
+					await CustomNodesManager.instance.show(CustomNodesManager.ShowMode.UPDATE);
+				}
+			);
+
+			update_check_checkbox.checked = false;
+		}
+		else {
+			show_message('All extensions are already up-to-date with the latest versions.');
+		}
+
+		return true;
+	}
+	catch (exception) {
+		show_message(`Failed to update custom nodes / ${exception}`);
+		return false;
+	}
+	finally {
+		fetch_updates_button.disabled = false;
+		fetch_updates_button.innerText = prev_text;
+		fetch_updates_button.style.backgroundColor = "";
+	}
+}
+
+async function updateAll(update_check_checkbox, manager_dialog) {
+	let prev_text = update_all_button.innerText;
+	update_all_button.innerText = "Updating all...(ComfyUI)";
+	update_all_button.disabled = true;
+	update_all_button.style.backgroundColor = "gray";
+
+	try {
+		var mode = manager_instance.datasrc_combo.value;
+
+		update_all_button.innerText = "Updating all...";
+		const response1 = await api.fetchApi('/comfyui_manager/update_comfyui');
+		const response2 = await api.fetchApi(`/customnode/update_all?mode=${mode}`);
+
+		if (response2.status == 403) {
+			show_message('This action is not allowed with this security level configuration.');
+			return false;
+		}
+
+		if (response1.status == 400 || response2.status == 400) {
+			show_message('Failed to update ComfyUI or several extensions.<BR><BR>See terminal log.<BR>');
+			return false;
+		}
+
+		if(response1.status == 201 || response2.status == 201) {
+			const update_info = await response2.json();
+
+			let failed_list = "";
+			if(update_info.failed.length > 0) {
+				failed_list = "<BR>FAILED: "+update_info.failed.join(", ");
+			}
+
+			let updated_list = "";
+			if(update_info.updated.length > 0) {
+				updated_list = "<BR>UPDATED: "+update_info.updated.join(", ");
+			}
+
+			show_message(
+				"ComfyUI and all extensions have been updated to the latest version.<BR>To apply the updated custom node, please <button class='cm-small-button' id='cm-reboot-button5'>RESTART</button> ComfyUI. And refresh browser.<BR>"
+				+failed_list
+				+updated_list
+				);
+
+			const rebootButton = document.getElementById('cm-reboot-button5');
+			rebootButton.addEventListener("click",
+				function() {
+					if(rebootAPI()) {
+						manager_dialog.close();
+					}
+				});
+		}
+		else {
+			show_message('ComfyUI and all extensions are already up-to-date with the latest versions.');
+		}
+
+		return true;
+	}
+	catch (exception) {
+		show_message(`Failed to update ComfyUI or several extensions / ${exception}`);
+		return false;
+	}
+	finally {
+		update_all_button.disabled = false;
+		update_all_button.innerText = prev_text;
+		update_all_button.style.backgroundColor = "";
+	}
+}
+
+function newDOMTokenList(initialTokens) {
+	const tmp = document.createElement(`div`);
+
+	const classList = tmp.classList;
+	if (initialTokens) {
+		initialTokens.forEach(token => {
+		classList.add(token);
+		});
+	}
+
+	return classList;
+	}
+
+/**
+ * Check whether the node is a potential output node (img, gif or video output)
+ */
+const isOutputNode = (node) => {
+	return SUPPORTED_OUTPUT_NODE_TYPES.includes(node.type);
+}
+
+// -----------
+class ManagerMenuDialog extends ComfyDialog {
+	createControlsMid() {
+		let self = this;
+
+		update_comfyui_button =
+			$el("button.cm-button", {
+				type: "button",
+				textContent: "Update ComfyUI",
+				onclick:
+					() => updateComfyUI()
+			});
+
+		fetch_updates_button =
+			$el("button.cm-button", {
+				type: "button",
+				textContent: "Fetch Updates",
+				onclick:
+					() => fetchUpdates(this.update_check_checkbox)
+			});
+
+		update_all_button =
+			$el("button.cm-button", {
+				type: "button",
+				textContent: "Update All",
+				onclick:
+					() => updateAll(this.update_check_checkbox, self)
+			});
+
+		const res =
+			[
+				$el("button.cm-button", {
+					type: "button",
+					textContent: "Custom Nodes Manager",
+					onclick:
+						() => {
+							if(!CustomNodesManager.instance) {
+								CustomNodesManager.instance = new CustomNodesManager(app, self);
+							}
+							CustomNodesManager.instance.show(CustomNodesManager.ShowMode.NORMAL);
+						}
+				}),
+
+				$el("button.cm-button", {
+					type: "button",
+					textContent: "Install Missing Custom Nodes",
+					onclick:
+						() => {
+							if(!CustomNodesManager.instance) {
+								CustomNodesManager.instance = new CustomNodesManager(app, self);
+							}
+							CustomNodesManager.instance.show(CustomNodesManager.ShowMode.MISSING);
+						}
+				}),
+
+				
+				$el("button.cm-button", {
+					type: "button",
+					textContent: "Model Manager",
+					onclick:
+						() => {
+							if(!ModelManager.instance) {
+								ModelManager.instance = new ModelManager(app, self);
+							}
+							ModelManager.instance.show();
+						}
+				}),
+
+				$el("button.cm-button", {
+					type: "button",
+					textContent: "Install via Git URL",
+					onclick: () => {
+						var url = prompt("Please enter the URL of the Git repository to install", "");
+
+						if (url !== null) {
+							install_via_git_url(url, self);
+						}
+					}
+				}),
+
+				$el("br", {}, []),
+				update_all_button,
+				update_comfyui_button,
+				fetch_updates_button,
+
+				$el("br", {}, []),
+				$el("button.cm-button", {
+					type: "button",
+					textContent: "Alternatives of A1111",
+					onclick:
+						() => {
+							if(!CustomNodesManager.instance) {
+								CustomNodesManager.instance = new CustomNodesManager(app, self);
+							}
+							CustomNodesManager.instance.show(CustomNodesManager.ShowMode.ALTERNATIVES);
+						}
+				}),
+
+				$el("br", {}, []),
+				$el("button.cm-button-red", {
+					type: "button",
+					textContent: "Restart",
+					onclick: () => rebootAPI()
+				}),
+			];
+
+		return res;
+	}
+
+	createControlsLeft() {
+		let self = this;
+
+		this.update_check_checkbox = $el("input",{type:'checkbox', id:"skip_update_check"},[])
+		const uc_checkbox_text = $el("label",{for:"skip_update_check"},[" Skip update check"])
+		uc_checkbox_text.style.color = "var(--fg-color)";
+		uc_checkbox_text.style.cursor = "pointer";
+		this.update_check_checkbox.checked = true;
+
+		// db mode
+		this.datasrc_combo = document.createElement("select");
+		this.datasrc_combo.setAttribute("title", "Configure where to retrieve node/model information. If set to 'local,' the channel is ignored, and if set to 'channel (remote),' it fetches the latest information each time the list is opened.");
+		this.datasrc_combo.className = "cm-menu-combo";
+		this.datasrc_combo.appendChild($el('option', { value: 'cache', text: 'DB: Channel (1day cache)' }, []));
+		this.datasrc_combo.appendChild($el('option', { value: 'local', text: 'DB: Local' }, []));
+		this.datasrc_combo.appendChild($el('option', { value: 'url', text: 'DB: Channel (remote)' }, []));
+
+		// preview method
+		let preview_combo = document.createElement("select");
+		preview_combo.setAttribute("title", "Configure how latent variables will be decoded during preview in the sampling process.");
+		preview_combo.className = "cm-menu-combo";
+		preview_combo.appendChild($el('option', { value: 'auto', text: 'Preview method: Auto' }, []));
+		preview_combo.appendChild($el('option', { value: 'taesd', text: 'Preview method: TAESD (slow)' }, []));
+		preview_combo.appendChild($el('option', { value: 'latent2rgb', text: 'Preview method: Latent2RGB (fast)' }, []));
+		preview_combo.appendChild($el('option', { value: 'none', text: 'Preview method: None (very fast)' }, []));
+
+		api.fetchApi('/manager/preview_method')
+			.then(response => response.text())
+			.then(data => { preview_combo.value = data; });
+
+		preview_combo.addEventListener('change', function (event) {
+			api.fetchApi(`/manager/preview_method?value=${event.target.value}`);
+		});
+
+		// nickname
+		let badge_combo = document.createElement("select");
+		badge_combo.setAttribute("title", "Configure the content to be displayed on the badge at the top right corner of the node. The ID is the identifier of the node. If 'hide built-in' is selected, both unknown nodes and built-in nodes will be omitted, making them indistinguishable");
+		badge_combo.className = "cm-menu-combo";
+		badge_combo.appendChild($el('option', { value: 'none', text: 'Badge: None' }, []));
+		badge_combo.appendChild($el('option', { value: 'nick', text: 'Badge: Nickname' }, []));
+		badge_combo.appendChild($el('option', { value: 'nick_hide', text: 'Badge: Nickname (hide built-in)' }, []));
+		badge_combo.appendChild($el('option', { value: 'id_nick', text: 'Badge: #ID Nickname' }, []));
+		badge_combo.appendChild($el('option', { value: 'id_nick_hide', text: 'Badge: #ID Nickname (hide built-in)' }, []));
+
+		api.fetchApi('/manager/badge_mode')
+			.then(response => response.text())
+			.then(data => { badge_combo.value = data; badge_mode = data; });
+
+		badge_combo.addEventListener('change', function (event) {
+			api.fetchApi(`/manager/badge_mode?value=${event.target.value}`);
+			badge_mode = event.target.value;
+			app.graph.setDirtyCanvas(true);
+		});
+
+		// channel
+		let channel_combo = document.createElement("select");
+		channel_combo.setAttribute("title", "Configure the channel for retrieving data from the Custom Node list (including missing nodes) or the Model list. Note that the badge utilizes local information.");
+		channel_combo.className = "cm-menu-combo";
+		api.fetchApi('/manager/channel_url_list')
+			.then(response => response.json())
+			.then(async data => {
+				try {
+					let urls = data.list;
+					for (let i in urls) {
+						if (urls[i] != '') {
+							let name_url = urls[i].split('::');
+							channel_combo.appendChild($el('option', { value: name_url[0], text: `Channel: ${name_url[0]}` }, []));
+						}
+					}
+
+					channel_combo.addEventListener('change', function (event) {
+						api.fetchApi(`/manager/channel_url_list?value=${event.target.value}`);
+					});
+
+					channel_combo.value = data.selected;
+				}
+				catch (exception) {
+
+				}
+			});
+
+		// default ui state
+		let default_ui_combo = document.createElement("select");
+		default_ui_combo.setAttribute("title", "Set the default state to be displayed in the main menu when the browser starts.");
+		default_ui_combo.className = "cm-menu-combo";
+		default_ui_combo.appendChild($el('option', { value: 'none', text: 'Default UI: None' }, []));
+		default_ui_combo.appendChild($el('option', { value: 'history', text: 'Default UI: History' }, []));
+		default_ui_combo.appendChild($el('option', { value: 'queue', text: 'Default UI: Queue' }, []));
+		api.fetchApi('/manager/default_ui')
+			.then(response => response.text())
+			.then(data => { default_ui_combo.value = data; });
+
+		default_ui_combo.addEventListener('change', function (event) {
+			api.fetchApi(`/manager/default_ui?value=${event.target.value}`);
+		});
+
+
+		// share
+		let share_combo = document.createElement("select");
+		share_combo.setAttribute("title", "Hide the share button in the main menu or set the default action upon clicking it. Additionally, configure the default share site when sharing via the context menu's share button.");
+		share_combo.className = "cm-menu-combo";
+		const share_options = [
+			['none', 'None'],
+			['openart', 'OpenArt AI'],
+			['youml', 'YouML'],
+			['matrix', 'Matrix Server'],
+			['comfyworkflows', 'ComfyWorkflows'],
+			['copus', 'Copus'],
+			['all', 'All'],
+		];
+		for (const option of share_options) {
+			share_combo.appendChild($el('option', { value: option[0], text: `Share: ${option[1]}` }, []));
+		}
+
+		// default ui state
+		let component_policy_combo = document.createElement("select");
+		component_policy_combo.setAttribute("title", "When loading the workflow, configure which version of the component to use.");
+		component_policy_combo.className = "cm-menu-combo";
+		component_policy_combo.appendChild($el('option', { value: 'workflow', text: 'Component: Use workflow version' }, []));
+		component_policy_combo.appendChild($el('option', { value: 'higher', text: 'Component: Use higher version' }, []));
+		component_policy_combo.appendChild($el('option', { value: 'mine', text: 'Component: Use my version' }, []));
+		api.fetchApi('/manager/component/policy')
+			.then(response => response.text())
+			.then(data => {
+				component_policy_combo.value = data;
+				set_component_policy(data);
+			});
+
+		component_policy_combo.addEventListener('change', function (event) {
+			api.fetchApi(`/manager/component/policy?value=${event.target.value}`);
+			set_component_policy(event.target.value);
+		});
+
+		let dbl_click_policy_combo = document.createElement("select");
+		dbl_click_policy_combo.setAttribute("title", "Sets the behavior when you double-click the title area of a node.");
+		dbl_click_policy_combo.className = "cm-menu-combo";
+		dbl_click_policy_combo.appendChild($el('option', { value: 'none', text: 'Double-Click: None' }, []));
+		dbl_click_policy_combo.appendChild($el('option', { value: 'copy-all', text: 'Double-Click: Copy All Connections' }, []));
+		dbl_click_policy_combo.appendChild($el('option', { value: 'copy-input', text: 'Double-Click: Copy Input Connections' }, []));
+		dbl_click_policy_combo.appendChild($el('option', { value: 'possible-input', text: 'Double-Click: Possible Input Connections' }, []));
+		dbl_click_policy_combo.appendChild($el('option', { value: 'dual', text: 'Double-Click: Possible(left) + Copy(right)' }, []));
+
+		api.fetchApi('/manager/dbl_click/policy')
+			.then(response => response.text())
+			.then(data => {
+				dbl_click_policy_combo.value = data;
+				set_double_click_policy(data);
+			});
+
+		dbl_click_policy_combo.addEventListener('change', function (event) {
+			api.fetchApi(`/manager/dbl_click/policy?value=${event.target.value}`);
+			set_double_click_policy(event.target.value);
+		});
+
+		api.fetchApi('/manager/share_option')
+			.then(response => response.text())
+			.then(data => {
+				share_combo.value = data || 'all';
+				share_option = data || 'all';
+			});
+
+		share_combo.addEventListener('change', function (event) {
+			const value = event.target.value;
+			share_option = value;
+			api.fetchApi(`/manager/share_option?value=${value}`);
+			const shareButton = document.getElementById("shareButton");
+			if (value === 'none') {
+				shareButton.style.display = "none";
+			} else {
+				shareButton.style.display = "inline-block";
+			}
+		});
+
+		return [
+			$el("div", {}, [this.update_check_checkbox, uc_checkbox_text]),
+			$el("br", {}, []),
+			this.datasrc_combo,
+			channel_combo,
+			preview_combo,
+			badge_combo,
+			default_ui_combo,
+			share_combo,
+			component_policy_combo,
+			dbl_click_policy_combo,
+			$el("br", {}, []),
+
+			$el("br", {}, []),
+			$el("filedset.cm-experimental", {}, [
+					$el("legend.cm-experimental-legend", {}, ["EXPERIMENTAL"]),
+					$el("button.cm-experimental-button", {
+						type: "button",
+						textContent: "Snapshot Manager",
+						onclick:
+							() => {
+								if(!SnapshotManager.instance)
+								SnapshotManager.instance = new SnapshotManager(app, self);
+								SnapshotManager.instance.show();
+							}
+					}),
+					$el("button.cm-experimental-button", {
+						type: "button",
+						textContent: "Install PIP packages",
+						onclick:
+							() => {
+								var url = prompt("Please enumerate the pip packages to be installed.\n\nExample: insightface opencv-python-headless>=4.1.1\n", "");
+
+								if (url !== null) {
+									install_pip(url, self);
+								}
+							}
+					}),
+					$el("button.cm-experimental-button", {
+						type: "button",
+						textContent: "Unload models",
+						onclick: () => { free_models(); }
+					})
+				]),
+		];
+	}
+
+	createControlsRight() {
+		const elts = [
+				$el("button.cm-button", {
+					id: 'cm-manual-button',
+					type: "button",
+					textContent: "Community Manual",
+					onclick: () => { window.open("https://blenderneko.github.io/ComfyUI-docs/", "comfyui-community-manual"); }
+				}, [
+					$el("div.pysssss-workflow-arrow-2", {
+						id: `cm-manual-button-arrow`,
+						onclick: (e) => {
+							e.preventDefault();
+							e.stopPropagation();
+
+							LiteGraph.closeAllContextMenus();
+							const menu = new LiteGraph.ContextMenu(
+								[
+									{
+										title: "Comfy Custom Node How To",
+										callback: () => { window.open("https://github.com/chrisgoringe/Comfy-Custom-Node-How-To/wiki/aaa_index", "comfyui-community-manual1"); },
+									},
+									{
+										title: "ComfyUI Guide To Making Custom Nodes",
+										callback: () => { window.open("https://github.com/Suzie1/ComfyUI_Guide_To_Making_Custom_Nodes/wiki", "comfyui-community-manual2"); },
+									},
+									{
+										title: "ComfyUI Examples",
+										callback: () => { window.open("https://comfyanonymous.github.io/ComfyUI_examples", "comfyui-community-manual3"); },
+									},
+									{
+										title: "Close",
+										callback: () => {
+											LiteGraph.closeAllContextMenus();
+										},
+									}
+								],
+								{
+									event: e,
+									scale: 1.3,
+								},
+								window
+							);
+							// set the id so that we can override the context menu's z-index to be above the comfyui manager menu
+							menu.root.id = "cm-manual-button-menu";
+							menu.root.classList.add("pysssss-workflow-popup-2");
+						},
+					})
+				]),
+
+				$el("button", {
+					id: 'workflowgallery-button',
+					type: "button",
+					style: {
+						...(localStorage.getItem("wg_last_visited") ? {height: '50px'} : {})
+					},
+					onclick: (e) => {
+						const last_visited_site = localStorage.getItem("wg_last_visited")
+						if (!!last_visited_site) {
+							window.open(last_visited_site, last_visited_site);
+						} else {
+							this.handleWorkflowGalleryButtonClick(e)
+						}
+					},
+				}, [
+					$el("p", {
+						textContent: 'Workflow Gallery',
+						style: {
+							'text-align': 'center',
+							'color': 'white',
+							'font-size': '18px',
+							'margin': 0,
+							'padding': 0,
+						}
+					}, [
+						$el("p", {
+							id: 'workflowgallery-button-last-visited-label',
+							textContent: `(${localStorage.getItem("wg_last_visited") ? localStorage.getItem("wg_last_visited").split('/')[2] : ''})`,
+							style: {
+								'text-align': 'center',
+								'color': 'white',
+								'font-size': '12px',
+								'margin': 0,
+								'padding': 0,
+							}
+						})
+					]),
+					$el("div.pysssss-workflow-arrow-2", {
+						id: `comfyworkflows-button-arrow`,
+						onclick: this.handleWorkflowGalleryButtonClick
+					})
+				]),
+
+				$el("button.cm-button", {
+					id: 'cm-nodeinfo-button',
+					type: "button",
+					textContent: "Nodes Info",
+					onclick: () => { window.open("https://ltdrdata.github.io/", "comfyui-node-info"); }
+				}),
+				$el("br", {}, []),
+		];
+
+		var textarea = document.createElement("div");
+		textarea.className = "cm-notice-board";
+		elts.push(textarea);
+
+		init_notice(textarea);
+
+		return elts;
+	}
+
+	constructor() {
+		super();
+
+		const close_button = $el("button", { id: "cm-close-button", type: "button", textContent: "Close", onclick: () => this.close() });
+
+		const content =
+				$el("div.comfy-modal-content",
+					[
+						$el("tr.cm-title", {}, [
+								$el("font", {size:6, color:"white"}, [`ComfyUI Manager Menu`])]
+							),
+						$el("br", {}, []),
+						$el("div.cm-menu-container",
+							[
+								$el("div.cm-menu-column", [...this.createControlsLeft()]),
+								$el("div.cm-menu-column", [...this.createControlsMid()]),
+								$el("div.cm-menu-column", [...this.createControlsRight()])
+							]),
+
+						$el("br", {}, []),
+						close_button,
+					]
+				);
+
+		content.style.width = '100%';
+		content.style.height = '100%';
+
+		this.element = $el("div.comfy-modal", { id:'cm-manager-dialog', parent: document.body }, [ content ]);
+	}
+
+	show() {
+		this.element.style.display = "block";
+	}
+
+	handleWorkflowGalleryButtonClick(e) {
+		e.preventDefault();
+		e.stopPropagation();
+		LiteGraph.closeAllContextMenus();
+
+		// Modify the style of the button so that the UI can indicate the last
+		// visited site right away.
+		const modifyButtonStyle = (url) => {
+			const workflowGalleryButton = document.getElementById('workflowgallery-button');
+			workflowGalleryButton.style.height = '50px';
+			const lastVisitedLabel = document.getElementById('workflowgallery-button-last-visited-label');
+			lastVisitedLabel.textContent = `(${url.split('/')[2]})`;
+		}
+
+		const menu = new LiteGraph.ContextMenu(
+			[
+				{
+					title: "Share your art",
+					callback: () => {
+						if (share_option === 'openart') {
+							showOpenArtShareDialog();
+							return;
+						} else if (share_option === 'matrix' || share_option === 'comfyworkflows') {
+							showShareDialog(share_option);
+							return;
+						} else if (share_option === 'youml') {
+							showYouMLShareDialog();
+							return;
+						}
+
+						if (!ShareDialogChooser.instance) {
+							ShareDialogChooser.instance = new ShareDialogChooser();
+						}
+						ShareDialogChooser.instance.show();
+					},
+				},
+				{
+					title: "Open 'openart.ai'",
+					callback: () => {
+						const url = "https://openart.ai/workflows/dev";
+						localStorage.setItem("wg_last_visited", url);
+						window.open(url, url);
+						modifyButtonStyle(url);
+					},
+				},
+				{
+					title: "Open 'youml.com'",
+					callback: () => {
+						const url = "https://youml.com/?from=comfyui-share";
+						localStorage.setItem("wg_last_visited", url);
+						window.open(url, url);
+						modifyButtonStyle(url);
+					},
+				},
+				{
+					title: "Open 'comfyworkflows.com'",
+					callback: () => {
+						const url = "https://comfyworkflows.com/";
+						localStorage.setItem("wg_last_visited", url);
+						window.open(url, url);
+						modifyButtonStyle(url);
+					},
+				},
+				{
+					title: "Open 'flowt.ai'",
+					callback: () => {
+						const url = "https://flowt.ai/";
+						localStorage.setItem("wg_last_visited", url);
+						window.open(url, url);
+						modifyButtonStyle(url);
+					},
+				},
+				{
+					title: "Open 'esheep'",
+					callback: () => {
+						const url = "https://www.esheep.com";
+						localStorage.setItem("wg_last_visited", url);
+						window.open(url, url);
+						modifyButtonStyle(url);
+					},
+				},
+				{
+					title: "Open 'Copus.io'",
+					callback: () => {
+						const url = "https://www.copus.io";
+						localStorage.setItem("wg_last_visited", url);
+						window.open(url, url);
+						modifyButtonStyle(url);
+					},
+				},
+				{
+					title: "Close",
+					callback: () => {
+						LiteGraph.closeAllContextMenus();
+					},
+				}
+			],
+			{
+				event: e,
+				scale: 1.3,
+			},
+			window
+		);
+		// set the id so that we can override the context menu's z-index to be above the comfyui manager menu
+		menu.root.id = "workflowgallery-button-menu";
+		menu.root.classList.add("pysssss-workflow-popup-2");
+	}
+}
+
+
+app.registerExtension({
+	name: "Comfy.ManagerMenu",
+	init() {
+		$el("style", {
+			textContent: style,
+			parent: document.head,
+		});
+	},
+	async setup() {
+		let orig_clear = app.graph.clear;
+		app.graph.clear = function () {
+			orig_clear.call(app.graph);
+			load_components();
+		};
+
+		load_components();
+
+		const menu = document.querySelector(".comfy-menu");
+		const separator = document.createElement("hr");
+
+		separator.style.margin = "20px 0";
+		separator.style.width = "100%";
+		menu.append(separator);
+
+		try {
+			// new style Manager buttons
+
+			// unload models button into new style Manager button
+			let cmGroup = new (await import("../../scripts/ui/components/buttonGroup.js")).ComfyButtonGroup(
+				new(await import("../../scripts/ui/components/button.js")).ComfyButton({
+					icon: "puzzle",
+					action: () => {
+						if(!manager_instance)
+							setManagerInstance(new ManagerMenuDialog());
+						manager_instance.show();
+					},
+					tooltip: "ComfyUI Manager",
+					content: "Manager",
+					classList: "comfyui-button comfyui-menu-mobile-collapse primary"
+				}).element,
+				new(await import("../../scripts/ui/components/button.js")).ComfyButton({
+					icon: "vacuum-outline",
+					action: () => {
+						free_models();
+					},
+					tooltip: "Unload Models"
+				}).element,
+				new(await import("../../scripts/ui/components/button.js")).ComfyButton({
+					icon: "vacuum",
+					action: () => {
+						free_models(true);
+					},
+					tooltip: "Free model and node cache"
+				}).element,
+				new(await import("../../scripts/ui/components/button.js")).ComfyButton({
+					icon: "share",
+					action: () => {
+						if (share_option === 'openart') {
+							showOpenArtShareDialog();
+							return;
+						} else if (share_option === 'matrix' || share_option === 'comfyworkflows') {
+							showShareDialog(share_option);
+							return;
+						} else if (share_option === 'youml') {
+							showYouMLShareDialog();
+							return;
+						}
+
+						if(!ShareDialogChooser.instance) {
+							ShareDialogChooser.instance = new ShareDialogChooser();
+						}
+						ShareDialogChooser.instance.show();
+					},
+					tooltip: "Share"
+				}).element
+			);
+
+			app.menu?.settingsGroup.element.before(cmGroup.element);
+		}
+		catch(exception) {
+			console.log('ComfyUI is outdated. New style menu based features are disabled.');
+		}
+
+		// old style Manager button
+		const managerButton = document.createElement("button");
+		managerButton.textContent = "Manager";
+		managerButton.onclick = () => {
+				if(!manager_instance)
+					setManagerInstance(new ManagerMenuDialog());
+				manager_instance.show();
+			}
+		menu.append(managerButton);
+
+		const shareButton = document.createElement("button");
+		shareButton.id = "shareButton";
+		shareButton.textContent = "Share";
+		shareButton.onclick = () => {
+			if (share_option === 'openart') {
+				showOpenArtShareDialog();
+				return;
+			} else if (share_option === 'matrix' || share_option === 'comfyworkflows') {
+				showShareDialog(share_option);
+				return;
+			} else if (share_option === 'youml') {
+				showYouMLShareDialog();
+				return;
+			}
+
+			if(!ShareDialogChooser.instance) {
+				ShareDialogChooser.instance = new ShareDialogChooser();
+			}
+			ShareDialogChooser.instance.show();
+		}
+		// make the background color a gradient of blue to green
+		shareButton.style.background = "linear-gradient(90deg, #00C9FF 0%, #92FE9D 100%)";
+		shareButton.style.color = "black";
+
+		// Load share option from local storage to determine whether to show
+		// the share button.
+		const shouldShowShareButton = share_option !== 'none';
+		shareButton.style.display = shouldShowShareButton ? "inline-block" : "none";
+
+		menu.append(shareButton);
+	},
+
+	async beforeRegisterNodeDef(nodeType, nodeData, app) {
+		this._addExtraNodeContextMenu(nodeType, app);
+	},
+
+	async nodeCreated(node, app) {
+		if(!node.badge_enabled) {
+			node.getNickname = function () { return getNickname(node, node.comfyClass.trim()) };
+			let orig = node.onDrawForeground;
+			if(!orig)
+				orig = node.__proto__.onDrawForeground;
+
+			node.onDrawForeground = function (ctx) {
+				drawBadge(node, orig, arguments)
+			};
+			node.badge_enabled = true;
+		}
+	},
+
+	async loadedGraphNode(node, app) {
+		if(!node.badge_enabled) {
+			const orig = node.onDrawForeground;
+			node.getNickname = function () { return getNickname(node, node.type.trim()) };
+			node.onDrawForeground = function (ctx) { drawBadge(node, orig, arguments) };
+		}
+	},
+
+	_addExtraNodeContextMenu(node, app) {
+		const origGetExtraMenuOptions = node.prototype.getExtraMenuOptions;
+		node.prototype.cm_menu_added = true;
+		node.prototype.getExtraMenuOptions = function (_, options) {
+			origGetExtraMenuOptions?.apply?.(this, arguments);
+
+			if (node.category.startsWith('group nodes/')) {
+				options.push({
+					content: "Save As Component",
+					callback: (obj) => {
+						if (!ComponentBuilderDialog.instance) {
+							ComponentBuilderDialog.instance = new ComponentBuilderDialog();
+						}
+						ComponentBuilderDialog.instance.target_node = node;
+						ComponentBuilderDialog.instance.show();
+					}
+				}, null);
+			}
+
+			if (isOutputNode(node)) {
+				const { potential_outputs } = getPotentialOutputsAndOutputNodes([this]);
+				const hasOutput = potential_outputs.length > 0;
+
+				// Check if the previous menu option is `null`. If it's not,
+				// then we need to add a `null` as a separator.
+				if (options[options.length - 1] !== null) {
+					options.push(null);
+				}
+
+				options.push({
+					content: "🏞️ Share Output",
+					disabled: !hasOutput,
+					callback: (obj) => {
+						if (!ShareDialog.instance) {
+							ShareDialog.instance = new ShareDialog();
+						}
+						const shareButton = document.getElementById("shareButton");
+						if (shareButton) {
+							const currentNode = this;
+							if (!OpenArtShareDialog.instance) {
+								OpenArtShareDialog.instance = new OpenArtShareDialog();
+							}
+							OpenArtShareDialog.instance.selectedNodeId = currentNode.id;
+							if (!ShareDialog.instance) {
+								ShareDialog.instance = new ShareDialog(share_option);
+							}
+							ShareDialog.instance.selectedNodeId = currentNode.id;
+							shareButton.click();
+						}
+					}
+				}, null);
+			}
+		}
+	},
+});
+
+
+async function set_default_ui()
+{
+	let res = await api.fetchApi('/manager/default_ui');
+	if(res.status == 200) {
+		let mode = await res.text();
+		switch(mode) {
+		case 'history':
+			app.ui.queue.hide();
+			app.ui.history.show();
+			break;
+		case 'queue':
+			app.ui.queue.show();
+			app.ui.history.hide();
+			break;
+		default:
+			// do nothing
+			break;
+		}
+	}
+}
+
+set_default_ui();
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-common.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-common.js
new file mode 100644
index 0000000000000000000000000000000000000000..1fbf0485b3e87d5ca08fb66976d840d2fb966723
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-common.js
@@ -0,0 +1,1064 @@
+import { api } from "../../scripts/api.js";
+import { app } from "../../scripts/app.js";
+import { $el, ComfyDialog } from "../../scripts/ui.js";
+import { CopusShareDialog } from "./comfyui-share-copus.js";
+import { OpenArtShareDialog } from "./comfyui-share-openart.js";
+import { YouMLShareDialog } from "./comfyui-share-youml.js";
+
+export const SUPPORTED_OUTPUT_NODE_TYPES = [
+	"PreviewImage",
+	"SaveImage",
+	"VHS_VideoCombine",
+	"ADE_AnimateDiffCombine",
+	"SaveAnimatedWEBP",
+	"CR Image Output"
+]
+
+var docStyle = document.createElement('style');
+docStyle.innerHTML = `
+.cm-menu-container {
+  column-gap: 20px;
+  display: flex;
+  flex-wrap: wrap;
+  justify-content: center;
+}
+
+.cm-menu-column {
+  display: flex;
+  flex-direction: column;
+}
+
+.cm-title {
+	padding: 10px 10px 0 10p;
+	background-color: black;
+	text-align: center;
+	height: 45px;
+}
+`;
+document.head.appendChild(docStyle);
+
+export function getPotentialOutputsAndOutputNodes(nodes) {
+	const potential_outputs = [];
+	const potential_output_nodes = [];
+
+	// iterate over the array of nodes to find the ones that are marked as SaveImage
+	// TODO: Add support for AnimateDiffCombine, etc. nodes that save videos/gifs, etc.
+	for (let i = 0; i < nodes.length; i++) {
+		const node = nodes[i];
+		if (!SUPPORTED_OUTPUT_NODE_TYPES.includes(node.type)) {
+			continue;
+		}
+
+		if (node.type === "SaveImage" || node.type === "CR Image Output") {
+			// check if node has an 'images' array property
+			if (node.hasOwnProperty("images") && Array.isArray(node.images)) {
+				// iterate over the images array and add each image to the potential_outputs array
+				for (let j = 0; j < node.images.length; j++) {
+				    potential_output_nodes.push(node);
+					potential_outputs.push({ "type": "image", "image": node.images[j], "title": node.title, "node_id": node.id });
+				}
+			}
+		}
+		else if (node.type === "PreviewImage") {
+			// check if node has an 'images' array property
+			if (node.hasOwnProperty("images") && Array.isArray(node.images)) {
+				// iterate over the images array and add each image to the potential_outputs array
+				for (let j = 0; j < node.images.length; j++) {
+				    potential_output_nodes.push(node);
+					potential_outputs.push({ "type": "image", "image": node.images[j], "title": node.title, "node_id": node.id });
+				}
+			}
+		}
+		else if (node.type === "VHS_VideoCombine") {
+			// check if node has a 'widgets' array property, with type 'image'
+			if (node.hasOwnProperty("widgets") && Array.isArray(node.widgets)) {
+				// iterate over the widgets array and add each image to the potential_outputs array
+				for (let j = 0; j < node.widgets.length; j++) {
+					if (node.widgets[j].type === "image") {
+						const widgetValue = node.widgets[j].value;
+						const parsedURLVals = parseURLPath(widgetValue);
+
+						// ensure that the parsedURLVals have 'filename', 'subfolder', 'type', and 'format' properties
+						if (parsedURLVals.hasOwnProperty("filename") && parsedURLVals.hasOwnProperty("subfolder") && parsedURLVals.hasOwnProperty("type") && parsedURLVals.hasOwnProperty("format")) {
+							if (parsedURLVals.type !== "output") {
+								// TODO
+							}
+							potential_output_nodes.push(node);
+							potential_outputs.push({ "type": "output", 'title': node.title, "node_id": node.id , "output": { "filename": parsedURLVals.filename, "subfolder": parsedURLVals.subfolder, "value": widgetValue, "format": parsedURLVals.format } });
+						}
+					} else if (node.widgets[j].type === "preview") {
+						const widgetValue = node.widgets[j].value;
+						const parsedURLVals = widgetValue.params;
+
+						if(!parsedURLVals.format?.startsWith('image')) {
+							// video isn't supported format
+							continue;
+						}
+
+						// ensure that the parsedURLVals have 'filename', 'subfolder', 'type', and 'format' properties
+						if (parsedURLVals.hasOwnProperty("filename") && parsedURLVals.hasOwnProperty("subfolder") && parsedURLVals.hasOwnProperty("type") && parsedURLVals.hasOwnProperty("format")) {
+							if (parsedURLVals.type !== "output") {
+								// TODO
+							}
+							potential_output_nodes.push(node);
+							potential_outputs.push({ "type": "output", 'title': node.title, "node_id": node.id , "output": { "filename": parsedURLVals.filename, "subfolder": parsedURLVals.subfolder, "value": `/view?filename=${parsedURLVals.filename}&subfolder=${parsedURLVals.subfolder}&type=${parsedURLVals.type}&format=${parsedURLVals.format}`, "format": parsedURLVals.format } });
+						}
+					}
+				}
+			}
+		}
+		else if (node.type === "ADE_AnimateDiffCombine") {
+			// check if node has a 'widgets' array property, with type 'image'
+			if (node.hasOwnProperty("widgets") && Array.isArray(node.widgets)) {
+				// iterate over the widgets array and add each image to the potential_outputs array
+				for (let j = 0; j < node.widgets.length; j++) {
+					if (node.widgets[j].type === "image") {
+						const widgetValue = node.widgets[j].value;
+						const parsedURLVals = parseURLPath(widgetValue);
+						// ensure that the parsedURLVals have 'filename', 'subfolder', 'type', and 'format' properties
+						if (parsedURLVals.hasOwnProperty("filename") && parsedURLVals.hasOwnProperty("subfolder") && parsedURLVals.hasOwnProperty("type") && parsedURLVals.hasOwnProperty("format")) {
+							if (parsedURLVals.type !== "output") {
+								// TODO
+								continue;
+							}
+							potential_output_nodes.push(node);
+							potential_outputs.push({ "type": "output", 'title': node.title, "output": { "filename": parsedURLVals.filename, "subfolder": parsedURLVals.subfolder, "type": parsedURLVals.type, "value": widgetValue, "format": parsedURLVals.format } });
+						}
+					}
+				}
+			}
+		}
+		else if (node.type === "SaveAnimatedWEBP") {
+			// check if node has an 'images' array property
+			if (node.hasOwnProperty("images") && Array.isArray(node.images)) {
+				// iterate over the images array and add each image to the potential_outputs array
+				for (let j = 0; j < node.images.length; j++) {
+				    potential_output_nodes.push(node);
+					potential_outputs.push({ "type": "image", "image": node.images[j], "title": node.title });
+				}
+			}
+		}
+	}
+
+	// Note: make sure that two arrays are the same length
+	return { potential_outputs, potential_output_nodes };
+}
+
+
+export function parseURLPath(urlPath) {
+	// Extract the query string from the URL path
+	var queryString = urlPath.split('?')[1];
+
+	// Use the URLSearchParams API to parse the query string
+	var params = new URLSearchParams(queryString);
+
+	// Create an object to store the parsed parameters
+	var parsedParams = {};
+
+	// Iterate over each parameter and add it to the object
+	for (var pair of params.entries()) {
+		parsedParams[pair[0]] = pair[1];
+	}
+
+	// Return the object with the parsed parameters
+	return parsedParams;
+}
+
+
+export const shareToEsheep= () => {
+	app.graphToPrompt()
+	.then(prompt => {
+		const nodes = app.graph._nodes
+		const { potential_outputs, potential_output_nodes } = getPotentialOutputsAndOutputNodes(nodes);
+		const workflow = prompt['workflow']
+		api.fetchApi(`/manager/set_esheep_workflow_and_images`, {
+			method: 'POST',
+			headers: { 'Content-Type': 'application/json' },
+			body: JSON.stringify({
+				workflow: workflow,
+				images: potential_outputs
+			})
+		}).then(response => {
+			var domain = window.location.hostname;
+			var port = window.location.port;
+			port = port || (window.location.protocol === 'http:' ? '80' : window.location.protocol === 'https:' ? '443' : '');
+			var full_domin = domain + ':' + port
+			window.open('https://www.esheep.com/app/workflow_upload?from_local='+ full_domin, '_blank');
+		});
+	})
+}
+
+export const showCopusShareDialog = () => {
+  if (!CopusShareDialog.instance) {
+    CopusShareDialog.instance = new CopusShareDialog();
+  }
+
+  return app.graphToPrompt()
+    .then(prompt => {
+      return app.graph._nodes;
+    })
+    .then(nodes => {
+        const { potential_outputs, potential_output_nodes } = getPotentialOutputsAndOutputNodes(nodes);
+        CopusShareDialog.instance.show({ potential_outputs, potential_output_nodes});
+    })
+}
+
+export const showOpenArtShareDialog = () => {
+  if (!OpenArtShareDialog.instance) {
+    OpenArtShareDialog.instance = new OpenArtShareDialog();
+  }
+
+  return app.graphToPrompt()
+    .then(prompt => {
+      // console.log({ prompt })
+      return app.graph._nodes;
+    })
+    .then(nodes => {
+        const { potential_outputs, potential_output_nodes } = getPotentialOutputsAndOutputNodes(nodes);
+        OpenArtShareDialog.instance.show({ potential_outputs, potential_output_nodes});
+    })
+}
+
+
+export const showYouMLShareDialog = () => {
+  if (!YouMLShareDialog.instance) {
+    YouMLShareDialog.instance = new YouMLShareDialog();
+  }
+
+  return app.graphToPrompt()
+    .then(prompt => {
+      return app.graph._nodes;
+    })
+    .then(nodes => {
+        const { potential_outputs, potential_output_nodes } = getPotentialOutputsAndOutputNodes(nodes);
+        YouMLShareDialog.instance.show(potential_outputs, potential_output_nodes);
+    })
+}
+
+
+export const showShareDialog = async (share_option) => {
+  if (!ShareDialog.instance) {
+    ShareDialog.instance = new ShareDialog(share_option);
+  }
+  return app.graphToPrompt()
+    .then(prompt => {
+      // console.log({ prompt })
+      return app.graph._nodes;
+    })
+    .then(nodes => {
+      // console.log({ nodes });
+      const { potential_outputs, potential_output_nodes } = getPotentialOutputsAndOutputNodes(nodes);
+      if (potential_outputs.length === 0) {
+        if (potential_output_nodes.length === 0) {
+          // todo: add support for other output node types (animatediff combine, etc.)
+          const supported_nodes_string = SUPPORTED_OUTPUT_NODE_TYPES.join(", ");
+          alert(`No supported output node found (${supported_nodes_string}). To share this workflow, please add an output node to your graph and re-run your prompt.`);
+        } else {
+          alert("To share this, first run a prompt. Once it's done, click 'Share'.\n\nNOTE: Images of the Share target can only be selected in the PreviewImage, SaveImage, and VHS_VideoCombine nodes. In the case of VHS_VideoCombine, only the image/gif and image/webp formats are supported.");
+        }
+        return false;
+      }
+      ShareDialog.instance.show({ potential_outputs, potential_output_nodes, share_option });
+      return true;
+    });
+}
+
+export class ShareDialogChooser extends ComfyDialog {
+	static instance = null;
+	constructor() {
+		super();
+		this.element = $el("div.comfy-modal", {
+			parent: document.body, style: {
+				'overflow-y': "auto",
+			}
+		},
+			[$el("div.comfy-modal-content",
+				{},
+				[...this.createButtons()]),
+			]);
+		this.selectedNodeId = null;
+	}
+	createButtons() {
+		const buttons = [
+			{
+				key: "openart",
+				textContent: "OpenArt AI",
+				website: "https://openart.ai/workflows/",
+				description: "Share ComfyUI workflows and art on OpenArt.ai",
+				onclick: () => {
+				  showOpenArtShareDialog();
+				  this.close();
+				}
+			},
+			{
+				key: "youml",
+				textContent: "YouML",
+				website: "https://youml.com",
+				description: "Share your workflow or transform it into an interactive app on YouML.com",
+				onclick: () => {
+					showYouMLShareDialog();
+				  this.close();
+				}
+			},
+			{
+				key: "matrix",
+				textContent: "Matrix Server",
+				website: "https://app.element.io/#/room/%23comfyui_space%3Amatrix.org",
+				description: "Share your art on the official ComfyUI matrix server",
+				onclick: async () => {
+				  showShareDialog('matrix').then((suc) => {
+				    suc && this.close();
+				  })
+				}
+			},
+			{
+				key: "comfyworkflows",
+				textContent: "ComfyWorkflows",
+				website: "https://comfyworkflows.com",
+				description: "Share & browse thousands of ComfyUI workflows and art 🎨<br/><br/><a style='color:white;' href='https://comfyworkflows.com' target='_blank'>ComfyWorkflows.com</a>",
+				onclick: () => {
+				  showShareDialog('comfyworkflows').then((suc) => {
+				    suc && this.close();
+				  })
+				}
+			},
+			{
+				key: "esheep",
+				textContent: "eSheep",
+				website: "https://www.esheep.com",
+				description: "Share & download thousands of ComfyUI workflows on <a style='color:white;' href='https://www.esheep.com' target='_blank'>esheep.com</a>",
+				onclick: () => {
+					shareToEsheep();
+				  	this.close();
+				}
+			},
+			{
+				key: "Copus",
+				textContent: "Copus",
+				website: "https://www.copus.io",
+				description: "🔴 Permanently store and secure ownership of your workflow on the open-source platform: <a style='color:white;' href='https://copus.io' target='_blank'>Copus.io</a>",
+				onclick: () => {
+					showCopusShareDialog();
+				  this.close();
+				}
+			},
+		];
+
+		function createShareButtonsWithDescriptions() {
+			// Responsive container
+			const container = $el("div", {
+				style: {
+					display: "flex",
+					'flex-wrap': 'wrap',
+					'justify-content': 'space-around',
+					'padding': '10px',
+				}
+			});
+
+			buttons.forEach(b => {
+				const button = $el("button", {
+					type: "button",
+					textContent: b.textContent,
+					onclick: b.onclick,
+					style: {
+						'width': '25%',
+						'minWidth': '200px',
+						'background-color': b.backgroundColor || '',
+						'border-radius': '5px',
+						'cursor': 'pointer',
+						'padding': '5px 5px',
+						'margin-bottom': '5px',
+						'transition': 'background-color 0.3s',
+					}
+				});
+				button.addEventListener('mouseover', () => {
+					button.style.backgroundColor = '#007BFF'; // Change color on hover
+				});
+				button.addEventListener('mouseout', () => {
+					button.style.backgroundColor = b.backgroundColor || '';
+				});
+
+				const description = $el("p", {
+					innerHTML: b.description,
+					style: {
+						'text-align': 'left',
+						color: 'white',
+						'font-size': '14px',
+						'margin-bottom': '0',
+					},
+				});
+
+				const websiteLink = $el("a", {
+					textContent: "🌐 Website",
+					href: b.website,
+					target: "_blank",
+					style: {
+						color: 'white',
+						'margin-left': '10px',
+						'font-size': '12px',
+						'text-decoration': 'none',
+						'align-self': 'center',
+					},
+				});
+
+				// Add highlight to the website link
+				websiteLink.addEventListener('mouseover', () => {
+					websiteLink.style.opacity = '0.7';
+				});
+
+				websiteLink.addEventListener('mouseout', () => {
+					websiteLink.style.opacity = '1';
+				});
+
+				const buttonLinkContainer = $el("div", {
+					style: {
+						display: 'flex',
+						'align-items': 'center',
+						'margin-bottom': '10px',
+					}
+				}, [button, websiteLink]);
+
+				const column = $el("div", {
+					style: {
+						'flex-basis': '100%',
+						'margin': '10px',
+						'padding': '10px 20px',
+						'border': '1px solid #ddd',
+						'border-radius': '5px',
+						'box-shadow': '0 2px 4px rgba(0, 0, 0, 0.1)',
+					}
+				}, [buttonLinkContainer, description]);
+
+				container.appendChild(column);
+			});
+
+			return container;
+		}
+
+		return [
+		    $el("p", {
+		      textContent: 'Choose a platform to share your workflow',
+			    style: {
+				  'text-align': 'center',
+				  'color': 'white',
+				  'font-size': '18px',
+				  'margin-bottom': '10px',
+				},
+			  }
+			),
+
+			$el("div.cm-menu-container", {
+				id: "comfyui-share-container"
+			}, [
+				$el("div.cm-menu-column", [
+					createShareButtonsWithDescriptions(),
+					$el("br", {}, []),
+				]),
+			]),
+			$el("div.cm-menu-container", {
+				id: "comfyui-share-container"
+			}, [
+				$el("button", {
+					type: "button",
+					style: {
+						margin: "0 25px",
+						width: "100%",
+					},
+					textContent: "Close",
+					onclick: () => {
+						this.close()
+					}
+				}),
+				$el("br", {}, []),
+			]),
+		];
+	}
+	show() {
+		this.element.style.display = "block";
+		this.element.style.zIndex = 10001;
+	}
+}
+export class ShareDialog extends ComfyDialog {
+	static instance = null;
+	static matrix_auth = { homeserver: "matrix.org", username: "", password: "" };
+	static cw_sharekey = "";
+
+	constructor(share_option) {
+		super();
+		this.share_option = share_option;
+		this.element = $el("div.comfy-modal", {
+			parent: document.body, style: {
+				'overflow-y': "auto",
+			}
+		},
+			[$el("div.comfy-modal-content",
+				{},
+				[...this.createButtons()]),
+			]);
+		this.selectedOutputIndex = 0;
+	}
+
+	createButtons() {
+		this.radio_buttons = $el("div", {
+			id: "selectOutputImages",
+		}, []);
+
+		this.is_nsfw_checkbox = $el("input", { type: 'checkbox', id: "is_nsfw" }, [])
+		const is_nsfw_checkbox_text = $el("label", {
+		}, [" Is this NSFW?"])
+		this.is_nsfw_checkbox.style.color = "var(--fg-color)";
+		this.is_nsfw_checkbox.checked = false;
+
+		this.matrix_destination_checkbox = $el("input", { type: 'checkbox', id: "matrix_destination" }, [])
+		const matrix_destination_checkbox_text = $el("label", {}, [" ComfyUI Matrix server"])
+		this.matrix_destination_checkbox.style.color = "var(--fg-color)";
+		this.matrix_destination_checkbox.checked = this.share_option === 'matrix'; //true;
+
+		this.comfyworkflows_destination_checkbox = $el("input", { type: 'checkbox', id: "comfyworkflows_destination" }, [])
+		const comfyworkflows_destination_checkbox_text = $el("label", {}, [" ComfyWorkflows.com"])
+		this.comfyworkflows_destination_checkbox.style.color = "var(--fg-color)";
+		this.comfyworkflows_destination_checkbox.checked = this.share_option !== 'matrix';
+
+		this.matrix_homeserver_input = $el("input", { type: 'text', id: "matrix_homeserver", placeholder: "matrix.org", value: ShareDialog.matrix_auth.homeserver || 'matrix.org' }, []);
+		this.matrix_username_input = $el("input", { type: 'text', placeholder: "Username", value: ShareDialog.matrix_auth.username || '' }, []);
+		this.matrix_password_input = $el("input", { type: 'password', placeholder: "Password", value: ShareDialog.matrix_auth.password || '' }, []);
+
+		this.cw_sharekey_input = $el("input", { type: 'text', placeholder: "Share key (found on your profile page)", value: ShareDialog.cw_sharekey || '' }, []);
+		this.cw_sharekey_input.style.width = "100%";
+
+		this.credits_input = $el("input", {
+			type: "text",
+			placeholder: "This will be used to give credits",
+			required: false,
+		}, []);
+
+		this.title_input = $el("input", {
+			type: "text",
+			placeholder: "ex: My awesome art",
+			required: false
+		}, []);
+
+		this.description_input = $el("textarea", {
+			placeholder: "ex: Trying out a new workflow... ",
+			required: false,
+		}, []);
+
+		this.share_button = $el("button", {
+			type: "submit",
+			textContent: "Share",
+			style: {
+				backgroundColor: "blue"
+			}
+		}, []);
+
+		this.final_message = $el("div", {
+			style: {
+				color: "white",
+				textAlign: "center",
+				// marginTop: "10px",
+				// backgroundColor: "black",
+				padding: "10px",
+			}
+		}, []);
+
+		this.share_finalmessage_container = $el("div.cm-menu-container", {
+			id: "comfyui-share-finalmessage-container",
+			style: {
+				display: "none",
+			}
+		}, [
+			$el("div.cm-menu-column", [
+				this.final_message,
+				$el("button", {
+					type: "button",
+					textContent: "Close",
+					onclick: () => {
+						// Reset state
+						this.matrix_destination_checkbox.checked = this.share_option === 'matrix';
+						this.comfyworkflows_destination_checkbox.checked = this.share_option !== 'matrix';
+						this.share_button.textContent = "Share";
+						this.share_button.style.display = "inline-block";
+						this.final_message.innerHTML = "";
+						this.final_message.style.color = "white";
+						this.credits_input.value = "";
+						this.title_input.value = "";
+						this.description_input.value = "";
+						this.is_nsfw_checkbox.checked = false;
+						this.selectedOutputIndex = 0;
+
+						// hide the final message
+						this.share_finalmessage_container.style.display = "none";
+
+						// show the share container
+						this.share_container.style.display = "flex";
+
+						this.close()
+					}
+				}),
+			])
+		]);
+		this.share_container = $el("div.cm-menu-container", {
+			id: "comfyui-share-container"
+		}, [
+			$el("div.cm-menu-column", [
+				$el("details", {
+					style: {
+						border: "1px solid #999",
+						padding: "5px",
+						borderRadius: "5px",
+						backgroundColor: "#222"
+					}
+				}, [
+					$el("summary", {
+						style: {
+							color: "white",
+							cursor: "pointer",
+						}
+					}, [`Matrix account`]),
+					$el("div", {
+						style: {
+							display: "flex",
+							flexDirection: "row",
+						}
+					}, [
+						$el("div", {
+							textContent: "Homeserver",
+							style: {
+								marginRight: "10px",
+							}
+						}, []),
+						this.matrix_homeserver_input,
+					]),
+
+					$el("div", {
+						style: {
+							display: "flex",
+							flexDirection: "row",
+						}
+					}, [
+						$el("div", {
+							textContent: "Username",
+							style: {
+								marginRight: "10px",
+							}
+						}, []),
+						this.matrix_username_input,
+					]),
+
+					$el("div", {
+						style: {
+							display: "flex",
+							flexDirection: "row",
+						}
+					}, [
+						$el("div", {
+							textContent: "Password",
+							style: {
+								marginRight: "10px",
+							}
+						}, []),
+						this.matrix_password_input,
+					]),
+
+				]),
+				$el("details", {
+					style: {
+						border: "1px solid #999",
+						marginTop: "10px",
+						padding: "5px",
+						borderRadius: "5px",
+						backgroundColor: "#222"
+					},
+				}, [
+					$el("summary", {
+						style: {
+							color: "white",
+							cursor: "pointer",
+						}
+					}, [`Comfyworkflows.com account`]),
+					$el("h4", {
+						textContent: "Share key (found on your profile page)",
+					}, []),
+					$el("p", { size: 3, color: "white" }, ["If provided, your art will be saved to your account. Otherwise, it will be shared anonymously."]),
+					this.cw_sharekey_input,
+				]),
+
+				$el("div", {}, [
+					$el("p", {
+						size: 3, color: "white", style: {
+							color: 'white'
+						}
+					}, [`Select where to share your art:`]),
+					this.matrix_destination_checkbox,
+					matrix_destination_checkbox_text,
+					$el("br", {}, []),
+					this.comfyworkflows_destination_checkbox,
+					comfyworkflows_destination_checkbox_text,
+				]),
+
+				$el("h4", {
+					textContent: "Credits (optional)",
+					size: 3,
+					color: "white",
+					style: {
+						color: 'white'
+					}
+				}, []),
+				this.credits_input,
+				// $el("br", {}, []),
+
+				$el("h4", {
+					textContent: "Title (optional)",
+					size: 3,
+					color: "white",
+					style: {
+						color: 'white'
+					}
+				}, []),
+				this.title_input,
+				// $el("br", {}, []),
+
+				$el("h4", {
+					textContent: "Description (optional)",
+					size: 3,
+					color: "white",
+					style: {
+						color: 'white'
+					}
+				}, []),
+				this.description_input,
+				$el("br", {}, []),
+
+				$el("div", {}, [this.is_nsfw_checkbox, is_nsfw_checkbox_text]),
+				// $el("br", {}, []),
+
+				// this.final_message,
+				// $el("br", {}, []),
+			]),
+			$el("div.cm-menu-column", [
+				this.radio_buttons,
+				$el("br", {}, []),
+
+				this.share_button,
+
+				$el("button", {
+					type: "button",
+					textContent: "Close",
+					onclick: () => {
+						// Reset state
+						this.matrix_destination_checkbox.checked = this.share_option === 'matrix';
+						this.comfyworkflows_destination_checkbox.checked = this.share_option !== 'matrix';
+						this.share_button.textContent = "Share";
+						this.share_button.style.display = "inline-block";
+						this.final_message.innerHTML = "";
+						this.final_message.style.color = "white";
+						this.credits_input.value = "";
+						this.title_input.value = "";
+						this.description_input.value = "";
+						this.is_nsfw_checkbox.checked = false;
+						this.selectedOutputIndex = 0;
+
+						// hide the final message
+						this.share_finalmessage_container.style.display = "none";
+
+						// show the share container
+						this.share_container.style.display = "flex";
+
+						this.close()
+					}
+				}),
+				$el("br", {}, []),
+			]),
+		]);
+
+		// get the user's existing matrix auth and share key
+		ShareDialog.matrix_auth = { homeserver: "matrix.org", username: "", password: "" };
+		try {
+			api.fetchApi(`/manager/get_matrix_auth`)
+				.then(response => response.json())
+				.then(data => {
+					ShareDialog.matrix_auth = data;
+					this.matrix_homeserver_input.value = ShareDialog.matrix_auth.homeserver;
+					this.matrix_username_input.value = ShareDialog.matrix_auth.username;
+					this.matrix_password_input.value = ShareDialog.matrix_auth.password;
+				})
+				.catch(error => {
+					// console.log(error);
+				});
+		} catch (error) {
+			// console.log(error);
+		}
+
+		// get the user's existing comfyworkflows share key
+		ShareDialog.cw_sharekey = "";
+		try {
+			// console.log("Fetching comfyworkflows share key")
+			api.fetchApi(`/manager/get_comfyworkflows_auth`)
+				.then(response => response.json())
+				.then(data => {
+					ShareDialog.cw_sharekey = data.comfyworkflows_sharekey;
+					this.cw_sharekey_input.value = ShareDialog.cw_sharekey;
+				})
+				.catch(error => {
+					// console.log(error);
+				});
+		} catch (error) {
+			// console.log(error);
+		}
+
+		this.share_button.onclick = async () => {
+			const prompt = await app.graphToPrompt();
+			const nodes = app.graph._nodes;
+
+			// console.log({ prompt, nodes });
+
+			const destinations = [];
+			if (this.matrix_destination_checkbox.checked) {
+				destinations.push("matrix");
+			}
+			if (this.comfyworkflows_destination_checkbox.checked) {
+				destinations.push("comfyworkflows");
+			}
+
+			// if destinations includes matrix, make an api call to /manager/check_matrix to ensure that the user has configured their matrix settings
+			if (destinations.includes("matrix")) {
+				let definedMatrixAuth = !!this.matrix_homeserver_input.value && !!this.matrix_username_input.value && !!this.matrix_password_input.value;
+				if (!definedMatrixAuth) {
+					alert("Please set your Matrix account details.");
+					return;
+				}
+			}
+
+			if (destinations.includes("comfyworkflows") && !this.cw_sharekey_input.value && false) { //!confirm("You have NOT set your ComfyWorkflows.com share key. Your art will NOT be connected to your account (it will be shared anonymously). Continue?")) {
+				return;
+			}
+
+			const { potential_outputs, potential_output_nodes } = getPotentialOutputsAndOutputNodes(nodes);
+
+			// console.log({ potential_outputs, potential_output_nodes })
+
+			if (potential_outputs.length === 0) {
+				if (potential_output_nodes.length === 0) {
+					// todo: add support for other output node types (animatediff combine, etc.)
+					const supported_nodes_string = SUPPORTED_OUTPUT_NODE_TYPES.join(", ");
+					alert(`No supported output node found (${supported_nodes_string}). To share this workflow, please add an output node to your graph and re-run your prompt.`);
+				} else {
+					alert("To share this, first run a prompt. Once it's done, click 'Share'.\n\nNOTE: Images of the Share target can only be selected in the PreviewImage, SaveImage, and VHS_VideoCombine nodes. In the case of VHS_VideoCombine, only the image/gif and image/webp formats are supported.");
+				}
+				this.selectedOutputIndex = 0;
+				this.close();
+				return;
+			}
+
+			// Change the text of the share button to "Sharing..." to indicate that the share process has started
+			this.share_button.textContent = "Sharing...";
+
+			const response = await api.fetchApi(`/manager/share`, {
+				method: 'POST',
+				headers: { 'Content-Type': 'application/json' },
+				body: JSON.stringify({
+					matrix_auth: {
+						homeserver: this.matrix_homeserver_input.value,
+						username: this.matrix_username_input.value,
+						password: this.matrix_password_input.value,
+					},
+					cw_auth: {
+						cw_sharekey: this.cw_sharekey_input.value,
+					},
+					share_destinations: destinations,
+					credits: this.credits_input.value,
+					title: this.title_input.value,
+					description: this.description_input.value,
+					is_nsfw: this.is_nsfw_checkbox.checked,
+					prompt,
+					potential_outputs,
+					selected_output_index: this.selectedOutputIndex,
+					// potential_output_nodes
+				})
+			});
+
+			if (response.status != 200) {
+				try {
+					const response_json = await response.json();
+					if (response_json.error) {
+						alert(response_json.error);
+						this.close();
+						return;
+					} else {
+						alert("Failed to share your art. Please try again.");
+						this.close();
+						return;
+					}
+				} catch (e) {
+					alert("Failed to share your art. Please try again.");
+					this.close();
+					return;
+				}
+			}
+
+			const response_json = await response.json();
+
+			if (response_json.comfyworkflows.url) {
+				this.final_message.innerHTML = "Your art has been shared: <a href='" + response_json.comfyworkflows.url + "' target='_blank'>" + response_json.comfyworkflows.url + "</a>";
+				if (response_json.matrix.success) {
+					this.final_message.innerHTML += "<br>Your art has been shared in the ComfyUI Matrix server's #share channel!";
+				}
+			} else {
+				if (response_json.matrix.success) {
+					this.final_message.innerHTML = "Your art has been shared in the ComfyUI Matrix server's #share channel!";
+				}
+			}
+
+			this.final_message.style.color = "green";
+
+			// hide #comfyui-share-container and show #comfyui-share-finalmessage-container
+			this.share_container.style.display = "none";
+			this.share_finalmessage_container.style.display = "block";
+
+			// hide the share button
+			this.share_button.textContent = "Shared!";
+			this.share_button.style.display = "none";
+			// this.close();
+		}
+
+		const res =
+			[
+				$el("tr.td", { width: "100%" }, [
+					$el("font", { size: 6, color: "white" }, [`Share your art`]),
+				]),
+				$el("br", {}, []),
+
+				this.share_finalmessage_container,
+				this.share_container,
+			];
+
+		res[0].style.padding = "10px 10px 10px 10px";
+		res[0].style.backgroundColor = "black"; //"linear-gradient(90deg, #00C9FF 0%, #92FE9D 100%)";
+		res[0].style.textAlign = "center";
+		res[0].style.height = "45px";
+		return res;
+	}
+
+	show({potential_outputs, potential_output_nodes, share_option}) {
+		// Sort `potential_output_nodes` by node ID to make the order always
+		// consistent, but we should also keep `potential_outputs` in the same
+		// order as `potential_output_nodes`.
+		const potential_output_to_order = {};
+		potential_output_nodes.forEach((node, index) => {
+      if (node.id in potential_output_to_order) {
+        potential_output_to_order[node.id][1].push(potential_outputs[index]);
+      } else {
+        potential_output_to_order[node.id] = [node, [potential_outputs[index]]];
+      }
+    })
+		// Sort the object `potential_output_to_order` by key (node ID)
+		const sorted_potential_output_to_order = Object.fromEntries(
+			Object.entries(potential_output_to_order).sort((a, b) => a[0].id - b[0].id)
+		);
+		const sorted_potential_outputs = []
+		const sorted_potential_output_nodes = []
+		for (const [key, value] of Object.entries(sorted_potential_output_to_order)) {
+			sorted_potential_output_nodes.push(value[0]);
+			sorted_potential_outputs.push(...value[1]);
+		}
+		potential_output_nodes = sorted_potential_output_nodes;
+		potential_outputs = sorted_potential_outputs;
+
+		// console.log({ potential_outputs, potential_output_nodes })
+		this.radio_buttons.innerHTML = ""; // clear the radio buttons
+		let is_radio_button_checked = false;  // only check the first radio button if multiple images from the same node
+		const new_radio_buttons = $el("div", {
+			id: "selectOutput-Options",
+			style: {
+				'overflow-y': 'scroll',
+				'max-height': '400px',
+			}
+		}, potential_outputs.map((output, index) => {
+			const {node_id} = output;
+			const radio_button = $el("input", { type: 'radio', name: "selectOutputImages", value: index, required: index === 0 }, [])
+			let radio_button_img;
+			if (output.type === "image" || output.type === "temp") {
+				radio_button_img = $el("img", { src: `/view?filename=${output.image.filename}&subfolder=${output.image.subfolder}&type=${output.image.type}`, style: { width: "auto", height: "100px" } }, []);
+			} else if (output.type === "output") {
+				radio_button_img = $el("img", { src: output.output.value, style: { width: "auto", height: "100px" } }, []);
+			} else {
+				// unsupported output type
+				// this should never happen
+				// TODO
+				radio_button_img = $el("img", { src: "", style: { width: "auto", height: "100px" } }, []);
+			}
+			const radio_button_text = $el("label", {
+				// style: {
+				// 	color: 'white'
+				// }
+			}, [output.title])
+			radio_button.style.color = "var(--fg-color)";
+
+            // Make the radio button checked if it's the selected node,
+			// otherwise make the first radio button checked.
+			if (this.selectedNodeId) {
+			    if (this.selectedNodeId === node_id && !is_radio_button_checked) {
+			        radio_button.checked = true;
+							is_radio_button_checked = true;
+			    }
+			} else {
+			    radio_button.checked = index === 0;
+			}
+
+			if (radio_button.checked) {
+				this.selectedOutputIndex = index;
+			}
+
+			radio_button.onchange = () => {
+				this.selectedOutputIndex = parseInt(radio_button.value);
+			};
+
+			return $el("div", {
+				style: {
+					display: "flex",
+					'align-items': 'center',
+					'justify-content': 'space-between',
+					'margin-bottom': '10px',
+				}
+			}, [radio_button, radio_button_text, radio_button_img]);
+		}));
+		const header = $el("h3", {
+			textContent: "Select an image to share",
+			size: 3,
+			color: "white",
+			style: {
+				'text-align': 'center',
+				color: 'white',
+				backgroundColor: 'black',
+				padding: '10px',
+				'margin-top': '0px',
+			}
+		}, [
+			$el("p", {
+				textContent: "Scroll to see all outputs",
+				size: 2,
+				color: "white",
+				style: {
+					'text-align': 'center',
+					color: 'white',
+					'margin-bottom': '5px',
+					'font-style': 'italic',
+					'font-size': '12px',
+				},
+			}, [])
+		]);
+		this.radio_buttons.appendChild(header);
+		// this.radio_buttons.appendChild(subheader);
+		this.radio_buttons.appendChild(new_radio_buttons);
+		this.element.style.display = "block";
+
+		share_option = share_option || this.share_option;
+		if (share_option === 'comfyworkflows') {
+		    this.matrix_destination_checkbox.checked = false;
+            this.comfyworkflows_destination_checkbox.checked = true;
+        } else {
+            this.matrix_destination_checkbox.checked = true;
+            this.comfyworkflows_destination_checkbox.checked = false;
+        }
+	}
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-copus.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-copus.js
new file mode 100644
index 0000000000000000000000000000000000000000..318b1fe5d34d9909b77d9f974d2e0c40f0e96ee9
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-copus.js
@@ -0,0 +1,892 @@
+import { app } from "../../scripts/app.js";
+import { $el, ComfyDialog } from "../../scripts/ui.js";
+const env = "prod";
+
+let DEFAULT_HOMEPAGE_URL = "https://copus.io";
+
+let API_ENDPOINT = "https://api.client.prod.copus.io/copus-client";
+
+if (env !== "prod") {
+  API_ENDPOINT = "https://api.dev.copus.io/copus-client";
+  DEFAULT_HOMEPAGE_URL = "https://test.copus.io";
+}
+
+const style = `
+  .copus-share-dialog a {
+    color: #f8f8f8;
+  }
+  .copus-share-dialog a:hover {
+    color: #007bff;
+  }
+  .output_label {
+    border: 5px solid transparent;
+  }
+  .output_label:hover {
+    border: 5px solid #59E8C6;
+  }
+  .output_label.checked {
+    border: 5px solid #59E8C6;
+  }
+`;
+
+// Shared component styles
+const sectionStyle = {
+  marginBottom: 0,
+  padding: 0,
+  borderRadius: "8px",
+  boxShadow: "0 2px 4px rgba(0, 0, 0, 0.05)",
+  display: "flex",
+  flexDirection: "column",
+  justifyContent: "center",
+  position: "relative",
+};
+
+export class CopusShareDialog extends ComfyDialog {
+  static instance = null;
+
+  constructor() {
+    super();
+    $el("style", {
+      textContent: style,
+      parent: document.head,
+    });
+    this.element = $el(
+      "div.comfy-modal.copus-share-dialog",
+      {
+        parent: document.body,
+        style: {
+          "overflow-y": "auto",
+        },
+      },
+      [$el("div.comfy-modal-content", {}, [...this.createButtons()])]
+    );
+    this.selectedOutputIndex = 0;
+    this.selectedNodeId = null;
+    this.uploadedImages = [];
+    this.allFilesImages = [];
+    this.selectedFile = null;
+    this.allFiles = [];
+    this.titleNum = 0;
+  }
+  
+  createButtons() {
+    const inputStyle = {
+      display: "block",
+      minWidth: "500px",
+      width: "100%",
+      padding: "10px",
+      margin: "10px 0",
+      borderRadius: "4px",
+      border: "1px solid #ddd",
+      boxSizing: "border-box",
+    };
+
+    const textAreaStyle = {
+      display: "block",
+      minWidth: "500px",
+      width: "100%",
+      padding: "10px",
+      margin: "10px 0",
+      borderRadius: "4px",
+      border: "1px solid #ddd",
+      boxSizing: "border-box",
+      minHeight: "100px",
+      background: "#222",
+      resize: "vertical",
+      color: "#f2f2f2",
+      fontFamily: "Arial",
+      fontWeight: "400",
+      fontSize: "15px",
+    };
+
+    const hyperLinkStyle = {
+      display: "block",
+      marginBottom: "15px",
+      fontWeight: "bold",
+      fontSize: "14px",
+    };
+
+    const labelStyle = {
+      color: "#f8f8f8",
+      display: "block",
+      margin: "10px 0 0 0",
+      fontWeight: "bold",
+      textDecoration: "none",
+    };
+
+    const buttonStyle = {
+      padding: "10px 80px",
+      margin: "10px 5px",
+      borderRadius: "4px",
+      border: "none",
+      cursor: "pointer",
+      color: "#fff",
+      backgroundColor: "#007bff",
+    };
+
+    // upload images input
+    this.uploadImagesInput = $el("input", {
+      type: "file",
+      multiple: false,
+      style: inputStyle,
+      accept: "image/*",
+    });
+
+    this.uploadImagesInput.addEventListener("change", async (e) => {
+      const file = e.target.files[0];
+      if (!file) {
+        this.previewImage.src = "";
+        this.previewImage.style.display = "none";
+        return;
+      }
+      const reader = new FileReader();
+      reader.onload = async (e) => {
+        const imgData = e.target.result;
+        this.previewImage.src = imgData;
+        this.previewImage.style.display = "block";
+        this.selectedFile = null;
+        // Once user uploads an image, we uncheck all radio buttons
+        this.radioButtons.forEach((ele) => {
+          ele.checked = false;
+          ele.parentElement.classList.remove("checked");
+        });
+
+        // Add the opacity style toggle here to indicate that they only need
+        // to upload one image or choose one from the outputs.
+        this.outputsSection.style.opacity = 0.35;
+        this.uploadImagesInput.style.opacity = 1;
+      };
+      reader.readAsDataURL(file);
+    });
+
+    // preview image
+    this.previewImage = $el("img", {
+      src: "",
+      style: {
+        width: "100%",
+        maxHeight: "100px",
+        objectFit: "contain",
+        display: "none",
+        marginTop: "10px",
+      },
+    });
+
+    this.keyInput = $el("input", {
+      type: "password",
+      placeholder: "Copy & paste your API key",
+      style: inputStyle,
+    });
+    this.TitleInput = $el("input", {
+      type: "text",
+      placeholder: "Title (Required)",
+      style: inputStyle,
+      maxLength: "70",
+      oninput: () => {
+        const titleNum = this.TitleInput.value.length;
+        titleNumDom.textContent = `${titleNum}/70`;
+      },
+    });
+    this.SubTitleInput = $el("input", {
+      type: "text",
+      placeholder: "Subtitle (Optional)",
+      style: inputStyle,
+      maxLength: "70",
+      oninput: () => {
+        const titleNum = this.SubTitleInput.value.length;
+        subTitleNumDom.textContent = `${titleNum}/70`;
+      },
+    });
+    this.descriptionInput = $el("textarea", {
+      placeholder: "Content (Optional)",
+      style: {
+        ...textAreaStyle,
+        minHeight: "100px",
+      },
+    });
+
+    // Header Section
+    const headerSection = $el("h3", {
+      textContent: "Share your workflow to Copus",
+      size: 3,
+      color: "white",
+      style: {
+        "text-align": "center",
+        color: "white",
+        margin: "0 0 10px 0",
+      },
+    });
+    this.getAPIKeyLink = $el(
+      "a",
+      {
+        style: {
+          ...hyperLinkStyle,
+          color: "#59E8C6",
+        },
+        href: `${DEFAULT_HOMEPAGE_URL}?fromPage=comfyUI`,
+        target: "_blank",
+      },
+      ["👉 Get your API key here"]
+    );
+    const linkSection = $el(
+      "div",
+      {
+        style: {
+          marginTop: "10px",
+          display: "flex",
+          flexDirection: "column",
+        },
+      },
+      [
+        // this.communityLink,
+        this.getAPIKeyLink,
+      ]
+    );
+
+    // Account Section
+    const accountSection = $el("div", { style: sectionStyle }, [
+      $el("label", { style: labelStyle }, ["1️⃣ Copus API Key"]),
+      this.keyInput,
+    ]);
+
+    // Output Upload Section
+    const outputUploadSection = $el("div", { style: sectionStyle }, [
+      $el(
+        "label",
+        {
+          style: {
+            ...labelStyle,
+            margin: "10px 0 0 0",
+          },
+        },
+        ["2️⃣ Image/Thumbnail (Required)"]
+      ),
+      this.previewImage,
+      this.uploadImagesInput,
+    ]);
+
+    // Outputs Section
+    this.outputsSection = $el(
+      "div",
+      {
+        id: "selectOutputs",
+      },
+      []
+    );
+    
+    const titleNumDom = $el(
+      "label",
+      {
+        style: {
+          fontSize: "12px",
+          position: "absolute",
+          right: "10px",
+          bottom: "-10px",
+          color: "#999",
+        },
+      },
+      ["0/70"]
+    );
+    const subTitleNumDom = $el(
+      "label",
+      {
+        style: {
+          fontSize: "12px",
+          position: "absolute",
+          right: "10px",
+          bottom: "-10px",
+          color: "#999",
+        },
+      },
+      ["0/70"]
+    );
+    const descriptionNumDom = $el(
+      "label",
+      {
+        style: {
+          fontSize: "12px",
+          position: "absolute",
+          right: "10px",
+          bottom: "-10px",
+          color: "#999",
+        },
+      },
+      ["0/70"]
+    );
+    // Additional Inputs Section
+    const additionalInputsSection = $el(
+      "div",
+      { style: { ...sectionStyle,  } },
+      [
+        $el("label", { style: labelStyle }, ["3️⃣ Title "]),
+        this.TitleInput,
+        titleNumDom,
+      ]
+    );
+    const SubtitleSection = $el("div", { style: sectionStyle }, [
+      $el("label", { style: labelStyle }, ["4️⃣ Subtitle "]),
+      this.SubTitleInput,
+      subTitleNumDom,
+    ]);
+    const DescriptionSection = $el("div", { style: sectionStyle }, [
+      $el("label", { style: labelStyle }, ["5️⃣ Description "]),
+      this.descriptionInput,
+      // descriptionNumDom,
+    ]);
+    // switch  between outputs section and additional inputs section
+    this.radioButtons = [];
+
+    this.radioButtonsCheck = $el("input", {
+      type: "radio",
+      name: "output_type",
+      value: "0",
+      id: "blockchain1",
+      checked: true,
+    });
+    this.radioButtonsCheckOff = $el("input", {
+      type: "radio",
+      name: "output_type",
+      value: "1",
+      id: "blockchain",
+    });
+
+    const blockChainSection = $el("div", { style: sectionStyle }, [
+      $el("label", { style: labelStyle }, ["6️⃣ Store on blockchain "]),
+      $el(
+        "label",
+        {
+          style: {
+            marginTop: "10px",
+            display: "flex",
+            alignItems: "center",
+            cursor: "pointer",
+          },
+        },
+        [
+          this.radioButtonsCheck,
+          $el("span", { style: { marginLeft: "5px" } }, ["ON"]),
+        ]
+      ),
+      $el(
+        "label",
+        { style: { display: "flex", alignItems: "center", cursor: "pointer" } },
+        [
+          this.radioButtonsCheckOff,
+          $el("span", { style: { marginLeft: "5px" } }, ["OFF"]),
+        ]
+      ),
+      $el(
+        "p",
+        { style: { fontSize: "16px", color: "#fff", margin: "10px 0 0 0" } },
+        ["Secure ownership with a permanent & decentralized storage"]
+      ),
+    ]);
+    // Message Section
+    this.message = $el(
+      "div",
+      {
+        style: {
+          color: "#ff3d00",
+          textAlign: "center",
+          padding: "10px",
+          fontSize: "20px",
+        },
+      },
+      []
+    );
+
+    this.shareButton = $el("button", {
+      type: "submit",
+      textContent: "Share",
+      style: buttonStyle,
+      onclick: () => {
+        this.handleShareButtonClick();
+      },
+    });
+
+    // Share and Close Buttons
+    const buttonsSection = $el(
+      "div",
+      {
+        style: {
+          textAlign: "right",
+          marginTop: "20px",
+          display: "flex",
+          justifyContent: "space-between",
+        },
+      },
+      [
+        $el("button", {
+          type: "button",
+          textContent: "Close",
+          style: {
+            ...buttonStyle,
+            backgroundColor: undefined,
+          },
+          onclick: () => {
+            this.close();
+          },
+        }),
+        this.shareButton,
+      ]
+    );
+
+    // Composing the full layout
+    const layout = [
+      headerSection,
+      linkSection,
+      accountSection,
+      outputUploadSection,
+      this.outputsSection,
+      additionalInputsSection,
+      SubtitleSection,
+      DescriptionSection,
+      // contestSection,
+      blockChainSection,
+      this.message,
+      buttonsSection,
+    ];
+
+    return layout;
+  }
+  /**
+   * api 
+   * @param {url} path
+   * @param {params} options
+   * @param {statusText} statusText
+   * @returns
+   */
+  async fetchApi(path, options, statusText) {
+    if (statusText) {
+      this.message.textContent = statusText;
+    }
+    const fullPath = new URL(API_ENDPOINT + path);
+    const response = await fetch(fullPath, options);
+    if (!response.ok) {
+      throw new Error(response.statusText);
+    }
+    if (statusText) {
+      this.message.textContent = "";
+    }
+    const data = await response.json();
+    return {
+      ok: response.ok,
+      statusText: response.statusText,
+      status: response.status,
+      data,
+    };
+  }
+  /**
+   * @param {file} uploadFile
+   */
+  async uploadThumbnail(uploadFile, type) {
+    const form = new FormData();
+    form.append("file", uploadFile);
+    form.append("apiToken", this.keyInput.value);
+    try {
+      const res = await this.fetchApi(
+        `/client/common/opus/uploadImage`,
+        {
+          method: "POST",
+          body: form,
+        },
+        "Uploading thumbnail..."
+      );
+      if (res.status && res.data.status && res.data) {
+        const { data } = res.data;
+        if (type) {
+          this.allFilesImages.push({
+            url: data,
+          });
+        }
+        this.uploadedImages.push({
+          url: data,
+        });
+      } else {
+        throw new Error("make sure your API key is correct and try again later");
+      }
+    } catch (e) {
+      if (e?.response?.status === 413) {
+        throw new Error("File size is too large (max 20MB)");
+      } else {
+        throw new Error("Error uploading thumbnail: " + e.message);
+      }
+    }
+  }
+
+  async handleShareButtonClick() {
+    this.message.textContent = "";
+    try {
+      this.shareButton.disabled = true;
+      this.shareButton.textContent = "Sharing...";
+      await this.share();
+    } catch (e) {
+      alert(e.message);
+    }
+    this.shareButton.disabled = false;
+    this.shareButton.textContent = "Share";
+  }
+  /**
+   * share
+   * @param {string} title
+   * @param {string} subtitle
+   * @param {string} content
+   * @param {boolean} storeOnChain
+   * @param {string} coverUrl
+   * @param {string[]} imageUrls
+   * @param {string} apiToken
+   */
+  async share() {
+    const prompt = await app.graphToPrompt();
+    const workflowJSON = prompt["workflow"];
+    const form_values = {
+      title: this.TitleInput.value,
+      subTitle: this.SubTitleInput.value,
+      content: this.descriptionInput.value,
+      storeOnChain: this.radioButtonsCheck.checked ? true : false,
+    };
+
+    if (!this.keyInput.value) {
+      throw new Error("API key is required");
+    }
+
+    if (!this.uploadImagesInput.files[0] && !this.selectedFile) {
+      throw new Error("Thumbnail is required");
+    }
+
+    if (!form_values.title) {
+      throw new Error("Title is required");
+    }
+
+    if (!this.uploadedImages.length) {
+      if (this.selectedFile) {
+        await this.uploadThumbnail(this.selectedFile);
+      } else {
+        for (const file of this.uploadImagesInput.files) {
+          try {
+            await this.uploadThumbnail(file);
+          } catch (e) {
+            this.uploadedImages = [];
+            throw new Error(e.message);
+          }
+        }
+
+        if (this.uploadImagesInput.files.length === 0) {
+          throw new Error("No thumbnail uploaded");
+        }
+      }
+    }
+    if (this.allFiles.length > 0) {
+      for (const file of this.allFiles) {
+        try {
+          await this.uploadThumbnail(file, true);
+        } catch (e) {
+          this.allFilesImages = [];
+          throw new Error(e.message);
+        }
+      }
+    }
+    try {
+      const res = await this.fetchApi(
+        "/client/common/opus/shareFromComfyUI",
+        {
+          method: "POST",
+          headers: { "Content-Type": "application/json" },
+          body: JSON.stringify({
+            workflowJson: workflowJSON,
+            apiToken: this.keyInput.value,
+            coverUrl: this.uploadedImages[0].url,
+            imageUrls: this.allFilesImages.map((image) => image.url),
+            ...form_values,
+          }),
+        },
+        "Uploading workflow..."
+      );
+
+     if (res.status && res.data.status && res.data) {
+      localStorage.setItem("copus_token",this.keyInput.value);
+       const { data } = res.data;
+       if (data) {
+         const url = `${DEFAULT_HOMEPAGE_URL}/work/${data}`;
+         this.message.innerHTML = `Workflow has been shared successfully. <a href="${url}" target="_blank">Click here to view it.</a>`;
+         this.previewImage.src = "";
+         this.previewImage.style.display = "none";
+         this.uploadedImages = [];
+         this.allFilesImages = [];
+         this.allFiles = [];
+         this.TitleInput.value = "";
+         this.SubTitleInput.value = "";
+         this.descriptionInput.value = "";
+         this.selectedFile = null;
+       }
+     }
+    } catch (e) {
+      throw new Error("Error sharing workflow: " + e.message);
+    }
+  }
+
+  async fetchImageBlob(url) {
+    const response = await fetch(url);
+    const blob = await response.blob();
+    return blob;
+  }
+
+  async show({ potential_outputs, potential_output_nodes } = {}) {
+    // Sort `potential_output_nodes` by node ID to make the order always
+    // consistent, but we should also keep `potential_outputs` in the same
+    // order as `potential_output_nodes`.
+    const potential_output_to_order = {};
+    potential_output_nodes.forEach((node, index) => {
+      if (node.id in potential_output_to_order) {
+        potential_output_to_order[node.id][1].push(potential_outputs[index]);
+      } else {
+        potential_output_to_order[node.id] = [node, [potential_outputs[index]]];
+      }
+    });
+    // Sort the object `potential_output_to_order` by key (node ID)
+    const sorted_potential_output_to_order = Object.fromEntries(
+      Object.entries(potential_output_to_order).sort(
+        (a, b) => a[0].id - b[0].id
+      )
+    );
+    const sorted_potential_outputs = [];
+    const sorted_potential_output_nodes = [];
+    for (const [key, value] of Object.entries(
+      sorted_potential_output_to_order
+    )) {
+      sorted_potential_output_nodes.push(value[0]);
+      sorted_potential_outputs.push(...value[1]);
+    }
+    potential_output_nodes = sorted_potential_output_nodes;
+    potential_outputs = sorted_potential_outputs;
+    const apiToken = localStorage.getItem("copus_token");
+    this.message.innerHTML = "";
+    this.message.textContent = "";
+    this.element.style.display = "block";
+    this.previewImage.src = "";
+    this.previewImage.style.display = "none";
+    this.keyInput.value = apiToken!=null?apiToken:"";
+    this.uploadedImages = [];
+    this.allFilesImages = [];
+    this.allFiles = [];
+    // If `selectedNodeId` is provided, we will select the corresponding radio
+    // button for the node. In addition, we move the selected radio button to
+    // the top of the list.
+    if (this.selectedNodeId) {
+      const index = potential_output_nodes.findIndex(
+        (node) => node.id === this.selectedNodeId
+      );
+      if (index >= 0) {
+        this.selectedOutputIndex = index;
+      }
+    }
+
+    this.radioButtons = [];
+    const new_radio_buttons = $el(
+      "div",
+      {
+        id: "selectOutput-Options",
+        style: {
+          "overflow-y": "scroll",
+          "max-height": "200px",
+          display: "grid",
+          "grid-template-columns": "repeat(auto-fit, minmax(100px, 1fr))",
+          "grid-template-rows": "auto",
+          "grid-column-gap": "10px",
+          "grid-row-gap": "10px",
+          "margin-bottom": "10px",
+          padding: "10px",
+          "border-radius": "8px",
+          "box-shadow": "0 2px 4px rgba(0, 0, 0, 0.05)",
+          "background-color": "var(--bg-color)",
+        },
+      },
+      potential_outputs.map((output, index) => {
+        const { node_id } = output;
+        const radio_button = $el(
+          "input",
+          {
+            type: "radio",
+            name: "selectOutputImages",
+            value: index,
+            required: index === 0,
+          },
+          []
+        );
+        let radio_button_img;
+        let filename;
+        if (output.type === "image" || output.type === "temp") {
+          radio_button_img = $el(
+            "img",
+            {
+              src: `/view?filename=${output.image.filename}&subfolder=${output.image.subfolder}&type=${output.image.type}`,
+              style: {
+                width: "100px",
+                height: "100px",
+                objectFit: "cover",
+                borderRadius: "5px",
+              },
+            },
+            []
+          );
+          filename = output.image.filename;
+        } else if (output.type === "output") {
+          radio_button_img = $el(
+            "img",
+            {
+              src: output.output.value,
+              style: {
+                width: "auto",
+                height: "100px",
+                objectFit: "cover",
+                borderRadius: "5px",
+              },
+            },
+            []
+          );
+          filename = output.filename;
+        } else {
+          // unsupported output type
+          // this should never happen
+          radio_button_img = $el(
+            "img",
+            {
+              src: "",
+              style: { width: "auto", height: "100px" },
+            },
+            []
+          );
+        }
+        const radio_button_text = $el(
+          "span",
+          {
+            style: {
+              color: "gray",
+              display: "block",
+              fontSize: "12px",
+              overflowX: "hidden",
+              textOverflow: "ellipsis",
+              textWrap: "nowrap",
+              maxWidth: "100px",
+            },
+          },
+          [output.title]
+        );
+        const node_id_chip = $el(
+          "span",
+          {
+            style: {
+              color: "#FBFBFD",
+              display: "block",
+              backgroundColor: "rgba(0, 0, 0, 0.5)",
+              fontSize: "12px",
+              overflowX: "hidden",
+              padding: "2px 3px",
+              textOverflow: "ellipsis",
+              textWrap: "nowrap",
+              maxWidth: "100px",
+              position: "absolute",
+              top: "3px",
+              left: "3px",
+              borderRadius: "3px",
+            },
+          },
+          [`Node: ${node_id}`]
+        );
+        radio_button.style.color = "var(--fg-color)";
+        radio_button.checked = this.selectedOutputIndex === index;
+
+        radio_button.onchange = async () => {
+          this.selectedOutputIndex = parseInt(radio_button.value);
+
+          // Remove the "checked" class from all radio buttons
+          this.radioButtons.forEach((ele) => {
+            ele.parentElement.classList.remove("checked");
+          });
+          radio_button.parentElement.classList.add("checked");
+
+          this.fetchImageBlob(radio_button_img.src).then((blob) => {
+            const file = new File([blob], filename, {
+              type: blob.type,
+            });
+            this.previewImage.src = radio_button_img.src;
+            this.previewImage.style.display = "block";
+            this.selectedFile = file;
+          });
+
+          // Add the opacity style toggle here to indicate that they only need
+          // to upload one image or choose one from the outputs.
+          this.outputsSection.style.opacity = 1;
+          this.uploadImagesInput.style.opacity = 0.35;
+        };
+
+        if (radio_button.checked) {
+          this.fetchImageBlob(radio_button_img.src).then((blob) => {
+            const file = new File([blob], filename, {
+              type: blob.type,
+            });
+            this.previewImage.src = radio_button_img.src;
+            this.previewImage.style.display = "block";
+            this.selectedFile = file;
+          });
+          // Add the opacity style toggle here to indicate that they only need
+          // to upload one image or choose one from the outputs.
+          this.outputsSection.style.opacity = 1;
+          this.uploadImagesInput.style.opacity = 0.35;
+        }
+        this.radioButtons.push(radio_button);
+        let src = "";
+        if (output.type === "image" || output.type === "temp") {
+          filename = output.image.filename;
+          src = `/view?filename=${output.image.filename}&subfolder=${output.image.subfolder}&type=${output.image.type}`;
+        } else if (output.type === "output") {
+          src = output.output.value;
+          filename = output.filename;
+        }
+        if (src) {
+          this.fetchImageBlob(src).then((blob) => {
+            const file = new File([blob], filename, {
+              type: blob.type,
+            });
+            this.allFiles.push(file);
+          });
+        }
+        return $el(
+          `label.output_label${radio_button.checked ? ".checked" : ""}`,
+          {
+            style: {
+              display: "flex",
+              flexDirection: "column",
+              alignItems: "center",
+              justifyContent: "center",
+              marginBottom: "10px",
+              cursor: "pointer",
+              position: "relative",
+            },
+          },
+          [radio_button_img, radio_button_text, radio_button, node_id_chip]
+        );
+      })
+    );
+
+    const header = $el(
+      "p",
+      {
+        textContent:
+          this.radioButtons.length === 0
+            ? "Queue Prompt to see the outputs"
+            : "Or choose one from the outputs (scroll to see all)",
+        size: 2,
+        color: "white",
+        style: {
+          color: "white",
+          margin: "0 0 5px 0",
+          fontSize: "12px",
+        },
+      },
+      []
+    );
+    this.outputsSection.innerHTML = "";
+    this.outputsSection.appendChild(header);
+    this.outputsSection.appendChild(new_radio_buttons);
+  }
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-openart.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-openart.js
new file mode 100644
index 0000000000000000000000000000000000000000..96460fe79106a7bad4138fbfebf55241264e128f
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-openart.js
@@ -0,0 +1,745 @@
+import {app} from "../../scripts/app.js";
+import {api} from "../../scripts/api.js";
+import {ComfyDialog, $el} from "../../scripts/ui.js";
+
+const LOCAL_STORAGE_KEY = "openart_comfy_workflow_key";
+const DEFAULT_HOMEPAGE_URL = "https://openart.ai/workflows/dev?developer=true";
+//const DEFAULT_HOMEPAGE_URL = "http://localhost:8080/workflows/dev?developer=true";
+
+const API_ENDPOINT = "https://openart.ai/api";
+//const API_ENDPOINT = "http://localhost:8080/api";
+
+const style = `
+  .openart-share-dialog a {
+    color: #f8f8f8;
+  }
+  .openart-share-dialog a:hover {
+    color: #007bff;
+  }
+  .output_label {
+    border: 5px solid transparent;
+  }
+  .output_label:hover {
+    border: 5px solid #59E8C6;
+  }
+  .output_label.checked {
+    border: 5px solid #59E8C6;
+  }
+`;
+
+// Shared component styles
+const sectionStyle = {
+  marginBottom: 0,
+  padding: 0,
+  borderRadius: "8px",
+  boxShadow: "0 2px 4px rgba(0, 0, 0, 0.05)",
+  display: "flex",
+  flexDirection: "column",
+  justifyContent: "center",
+};
+
+export class OpenArtShareDialog extends ComfyDialog {
+  static instance = null;
+
+  constructor() {
+    super();
+    $el("style", {
+      textContent: style,
+      parent: document.head,
+    });
+    this.element = $el(
+      "div.comfy-modal.openart-share-dialog",
+      {
+        parent: document.body,
+        style: {
+          "overflow-y": "auto",
+        },
+      },
+      [$el("div.comfy-modal-content", {}, [...this.createButtons()])]
+    );
+    this.selectedOutputIndex = 0;
+    this.selectedNodeId = null;
+    this.uploadedImages = [];
+    this.selectedFile = null;
+  }
+
+  async readKey() {
+    let key = ""
+    try {
+      key = await api.fetchApi(`/manager/get_openart_auth`)
+        .then(response => response.json())
+        .then(data => {
+          return data.openart_key;
+        })
+        .catch(error => {
+          // console.log(error);
+        });
+    } catch (error) {
+      // console.log(error);
+    }
+    return key || "";
+  }
+
+  async saveKey(value) {
+    await api.fetchApi(`/manager/set_openart_auth`, {
+      method: 'POST',
+      headers: {'Content-Type': 'application/json'},
+      body: JSON.stringify({
+        openart_key: value
+      })
+    });
+  }
+
+  createButtons() {
+    const inputStyle = {
+      display: "block",
+      minWidth: "500px",
+      width: "100%",
+      padding: "10px",
+      margin: "10px 0",
+      borderRadius: "4px",
+      border: "1px solid #ddd",
+      boxSizing: "border-box",
+    };
+
+    const hyperLinkStyle = {
+      display: "block",
+      marginBottom: "15px",
+      fontWeight: "bold",
+      fontSize: "14px",
+    };
+
+    const labelStyle = {
+      color: "#f8f8f8",
+      display: "block",
+      margin: "10px 0 0 0",
+      fontWeight: "bold",
+      textDecoration: "none",
+    };
+
+    const buttonStyle = {
+      padding: "10px 80px",
+      margin: "10px 5px",
+      borderRadius: "4px",
+      border: "none",
+      cursor: "pointer",
+      color: "#fff",
+      backgroundColor: "#007bff",
+    };
+
+    // upload images input
+    this.uploadImagesInput = $el("input", {
+      type: "file",
+      multiple: false,
+      style: inputStyle,
+      accept: "image/*",
+    });
+
+    this.uploadImagesInput.addEventListener("change", async (e) => {
+      const file = e.target.files[0];
+      if (!file) {
+        this.previewImage.src = "";
+        this.previewImage.style.display = "none";
+        return;
+      }
+      const reader = new FileReader();
+      reader.onload = async (e) => {
+        const imgData = e.target.result;
+        this.previewImage.src = imgData;
+        this.previewImage.style.display = "block";
+        this.selectedFile = null
+        // Once user uploads an image, we uncheck all radio buttons
+        this.radioButtons.forEach((ele) => {
+          ele.checked = false;
+          ele.parentElement.classList.remove("checked");
+        });
+
+        // Add the opacity style toggle here to indicate that they only need
+        // to upload one image or choose one from the outputs.
+        this.outputsSection.style.opacity = 0.35;
+        this.uploadImagesInput.style.opacity = 1;
+      };
+      reader.readAsDataURL(file);
+    });
+
+    // preview image
+    this.previewImage = $el("img", {
+      src: "",
+      style: {
+        width: "100%",
+        maxHeight: "100px",
+        objectFit: "contain",
+        display: "none",
+        marginTop: '10px',
+      },
+    });
+
+    this.keyInput = $el("input", {
+      type: "password",
+      placeholder: "Copy & paste your API key",
+      style: inputStyle,
+    });
+    this.NameInput = $el("input", {
+      type: "text",
+      placeholder: "Title (required)",
+      style: inputStyle,
+    });
+    this.descriptionInput = $el("textarea", {
+      placeholder: "Description (optional)",
+      style: {
+        ...inputStyle,
+        minHeight: "100px",
+      },
+    });
+
+    // Header Section
+    const headerSection = $el("h3", {
+      textContent: "Share your workflow to OpenArt",
+      size: 3,
+      color: "white",
+      style: {
+        'text-align': 'center',
+        color: 'white',
+        margin: '0 0 10px 0',
+      }
+    });
+
+    // LinkSection
+    this.communityLink = $el("a", {
+      style: hyperLinkStyle,
+      href: DEFAULT_HOMEPAGE_URL,
+      target: "_blank"
+    }, ["👉 Check out thousands of workflows shared from the community"])
+    this.getAPIKeyLink = $el("a", {
+      style: {
+        ...hyperLinkStyle,
+        color: "#59E8C6"
+      },
+      href: DEFAULT_HOMEPAGE_URL,
+      target: "_blank"
+    }, ["👉 Get your API key here"])
+    const linkSection = $el(
+      "div",
+      {
+        style: {
+          marginTop: "10px",
+          display: "flex",
+          flexDirection: "column",
+        },
+      },
+      [
+        this.communityLink,
+        this.getAPIKeyLink,
+      ]
+    );
+
+    // Account Section
+    const accountSection = $el("div", {style: sectionStyle}, [
+      $el("label", {style: labelStyle}, ["1️⃣ OpenArt API Key"]),
+      this.keyInput,
+    ]);
+
+    // Output Upload Section
+    const outputUploadSection = $el("div", {style: sectionStyle}, [
+      $el("label", {
+        style: {
+          ...labelStyle,
+          margin: "10px 0 0 0"
+        }
+      }, ["2️⃣ Image/Thumbnail (Required)"]),
+      this.previewImage,
+      this.uploadImagesInput,
+    ]);
+
+    // Outputs Section
+    this.outputsSection = $el("div", {
+      id: "selectOutputs",
+    }, []);
+
+    // Additional Inputs Section
+    const additionalInputsSection = $el("div", {style: sectionStyle}, [
+      $el("label", {style: labelStyle}, ["3️⃣ Workflow Information"]),
+      this.NameInput,
+      this.descriptionInput,
+    ]);
+
+    // OpenArt Contest Section
+    /*
+    this.joinContestCheckbox = $el("input", {
+      type: 'checkbox',
+      id: "join_contest"s
+    }, [])
+    this.joinContestDescription = $el("a", {
+      style: {
+        ...hyperLinkStyle,
+        display: 'inline-block',
+        color: "#59E8C6",
+        fontSize: '12px',
+        marginLeft: '10px',
+        marginBottom: 0,
+      },
+      href: "https://contest.openart.ai/",
+      target: "_blank"
+    }, ["🏆 I'm participating in the OpenArt workflow contest"])
+    this.joinContestLabel = $el("label", {
+      style: {
+        display: 'flex',
+        alignItems: 'center',
+        cursor: 'pointer',
+      }
+    }, [this.joinContestCheckbox, this.joinContestDescription])
+    const contestSection = $el("div", {style: sectionStyle}, [
+      this.joinContestLabel,
+    ]);
+    */
+
+    // Message Section
+    this.message = $el(
+      "div",
+      {
+        style: {
+          color: "#ff3d00",
+          textAlign: "center",
+          padding: "10px",
+          fontSize: "20px",
+        },
+      },
+      []
+    );
+
+    this.shareButton = $el("button", {
+      type: "submit",
+      textContent: "Share",
+      style: buttonStyle,
+      onclick: () => {
+        this.handleShareButtonClick();
+      },
+    });
+
+    // Share and Close Buttons
+    const buttonsSection = $el(
+      "div",
+      {
+        style: {
+          textAlign: "right",
+          marginTop: "20px",
+          display: "flex",
+          justifyContent: "space-between",
+        },
+      },
+      [
+        $el("button", {
+          type: "button",
+          textContent: "Close",
+          style: {
+            ...buttonStyle,
+            backgroundColor: undefined,
+          },
+          onclick: () => {
+            this.close();
+          },
+        }),
+        this.shareButton,
+      ]
+    );
+
+    // Composing the full layout
+    const layout = [
+      headerSection,
+      linkSection,
+      accountSection,
+      outputUploadSection,
+      this.outputsSection,
+      additionalInputsSection,
+      // contestSection,
+      this.message,
+      buttonsSection,
+    ];
+
+    return layout;
+  }
+
+  async fetchApi(path, options, statusText) {
+    if (statusText) {
+      this.message.textContent = statusText;
+    }
+    const addSearchParams = (url, params = {}) =>
+      new URL(
+        `${url.origin}${url.pathname}?${new URLSearchParams([
+          ...Array.from(url.searchParams.entries()),
+          ...Object.entries(params),
+        ])}`
+      );
+
+    const fullPath = addSearchParams(new URL(API_ENDPOINT + path), {
+      workflow_api_key: this.keyInput.value,
+    });
+
+    const response = await fetch(fullPath, options);
+
+    if (!response.ok) {
+      throw new Error(response.statusText);
+    }
+
+    if (statusText) {
+      this.message.textContent = "";
+    }
+    const data = await response.json();
+    return {
+      ok: response.ok,
+      statusText: response.statusText,
+      status: response.status,
+      data,
+    };
+  }
+
+  async uploadThumbnail(uploadFile) {
+    const form = new FormData();
+    form.append("file", uploadFile);
+    try {
+      const res = await this.fetchApi(
+        `/workflows/upload_thumbnail`,
+        {
+          method: "POST",
+          body: form,
+        },
+        "Uploading thumbnail..."
+      );
+
+      if (res.ok && res.data) {
+        const {image_url, width, height} = res.data;
+        this.uploadedImages.push({
+          url: image_url,
+          width,
+          height,
+        });
+      }
+    } catch (e) {
+      if (e?.response?.status === 413) {
+        throw new Error("File size is too large (max 20MB)");
+      } else {
+        throw new Error("Error uploading thumbnail: " + e.message);
+      }
+    }
+  }
+
+  async handleShareButtonClick() {
+    this.message.textContent = "";
+    await this.saveKey(this.keyInput.value);
+    try {
+      this.shareButton.disabled = true;
+      this.shareButton.textContent = "Sharing...";
+      await this.share();
+    } catch (e) {
+      alert(e.message);
+    }
+    this.shareButton.disabled = false;
+    this.shareButton.textContent = "Share";
+  }
+
+  async share() {
+    const prompt = await app.graphToPrompt();
+    const workflowJSON = prompt["workflow"];
+    const workflowAPIJSON = prompt["output"];
+    const form_values = {
+      name: this.NameInput.value,
+      description: this.descriptionInput.value,
+    };
+
+    if (!this.keyInput.value) {
+      throw new Error("API key is required");
+    }
+
+    if (!this.uploadImagesInput.files[0] && !this.selectedFile) {
+      throw new Error("Thumbnail is required");
+    }
+
+    if (!form_values.name) {
+      throw new Error("Title is required");
+    }
+
+    const current_snapshot = await api.fetchApi(`/snapshot/get_current`)
+      .then(response => response.json())
+      .catch(error => {
+        // console.log(error);
+      });
+
+
+    if (!this.uploadedImages.length) {
+      if (this.selectedFile) {
+        await this.uploadThumbnail(this.selectedFile);
+      } else {
+        for (const file of this.uploadImagesInput.files) {
+          try {
+            await this.uploadThumbnail(file);
+          } catch (e) {
+            this.uploadedImages = [];
+            throw new Error(e.message);
+          }
+        }
+
+        if (this.uploadImagesInput.files.length === 0) {
+          throw new Error("No thumbnail uploaded");
+        }
+      }
+    }
+
+    // const join_contest = this.joinContestCheckbox.checked;
+
+    try {
+      const response = await this.fetchApi(
+        "/workflows/publish",
+        {
+          method: "POST",
+          headers: {"Content-Type": "application/json"},
+          body: JSON.stringify({
+            workflow_json: workflowJSON,
+            upload_images: this.uploadedImages,
+            form_values,
+            advanced_config: {
+              workflow_api_json: workflowAPIJSON,
+              snapshot: current_snapshot,
+            },
+            // join_contest,
+          }),
+        },
+        "Uploading workflow..."
+      );
+
+      if (response.ok) {
+        const {workflow_id} = response.data;
+        if (workflow_id) {
+          const url = `https://openart.ai/workflows/-/-/${workflow_id}`;
+          this.message.innerHTML = `Workflow has been shared successfully. <a href="${url}" target="_blank">Click here to view it.</a>`;
+          this.previewImage.src = "";
+          this.previewImage.style.display = "none";
+          this.uploadedImages = [];
+          this.NameInput.value = "";
+          this.descriptionInput.value = "";
+          this.radioButtons.forEach((ele) => {
+            ele.checked = false;
+            ele.parentElement.classList.remove("checked");
+          });
+          this.selectedOutputIndex = 0;
+          this.selectedNodeId = null;
+          this.selectedFile = null;
+        }
+      }
+    } catch (e) {
+      throw new Error("Error sharing workflow: " + e.message);
+    }
+  }
+
+  async fetchImageBlob(url) {
+    const response = await fetch(url);
+    const blob = await response.blob();
+    return blob;
+  }
+
+  async show({potential_outputs, potential_output_nodes} = {}) {
+    // Sort `potential_output_nodes` by node ID to make the order always
+    // consistent, but we should also keep `potential_outputs` in the same
+    // order as `potential_output_nodes`.
+    const potential_output_to_order = {};
+    potential_output_nodes.forEach((node, index) => {
+      if (node.id in potential_output_to_order) {
+        potential_output_to_order[node.id][1].push(potential_outputs[index]);
+      } else {
+        potential_output_to_order[node.id] = [node, [potential_outputs[index]]];
+      }
+    })
+    // Sort the object `potential_output_to_order` by key (node ID)
+    const sorted_potential_output_to_order = Object.fromEntries(
+      Object.entries(potential_output_to_order).sort((a, b) => a[0].id - b[0].id)
+    );
+    const sorted_potential_outputs = []
+    const sorted_potential_output_nodes = []
+    for (const [key, value] of Object.entries(sorted_potential_output_to_order)) {
+      sorted_potential_output_nodes.push(value[0]);
+      sorted_potential_outputs.push(...value[1]);
+    }
+    potential_output_nodes = sorted_potential_output_nodes;
+    potential_outputs = sorted_potential_outputs;
+
+    this.message.innerHTML = "";
+    this.message.textContent = "";
+    this.element.style.display = "block";
+    this.previewImage.src = "";
+    this.previewImage.style.display = "none";
+    const key = await this.readKey();
+    this.keyInput.value = key;
+    this.uploadedImages = [];
+
+    // If `selectedNodeId` is provided, we will select the corresponding radio
+    // button for the node. In addition, we move the selected radio button to
+    // the top of the list.
+    if (this.selectedNodeId) {
+      const index = potential_output_nodes.findIndex(node => node.id === this.selectedNodeId);
+      if (index >= 0) {
+        this.selectedOutputIndex = index;
+      }
+    }
+
+    this.radioButtons = [];
+    const new_radio_buttons = $el("div",
+      {
+        id: "selectOutput-Options",
+        style: {
+          'overflow-y': 'scroll',
+          'max-height': '200px',
+
+          'display': 'grid',
+          'grid-template-columns': 'repeat(auto-fit, minmax(100px, 1fr))',
+          'grid-template-rows': 'auto',
+          'grid-column-gap': '10px',
+          'grid-row-gap': '10px',
+          'margin-bottom': '10px',
+          'padding': '10px',
+          'border-radius': '8px',
+          'box-shadow': '0 2px 4px rgba(0, 0, 0, 0.05)',
+          'background-color': 'var(--bg-color)',
+        }
+      },
+      potential_outputs.map((output, index) => {
+        const {node_id} = output;
+        const radio_button = $el("input", {
+          type: 'radio',
+          name: "selectOutputImages",
+          value: index,
+          required: index === 0
+        }, [])
+        let radio_button_img;
+        let filename;
+        if (output.type === "image" || output.type === "temp") {
+          radio_button_img = $el("img", {
+            src: `/view?filename=${output.image.filename}&subfolder=${output.image.subfolder}&type=${output.image.type}`,
+            style: {
+              width: "100px",
+              height: "100px",
+              objectFit: "cover",
+              borderRadius: "5px"
+            }
+          }, []);
+          filename = output.image.filename
+        } else if (output.type === "output") {
+          radio_button_img = $el("img", {
+            src: output.output.value,
+            style: {
+              width: "auto",
+              height: "100px",
+              objectFit: "cover",
+              borderRadius: "5px"
+            }
+          }, []);
+          filename = output.filename
+        } else {
+          // unsupported output type
+          // this should never happen
+          // TODO
+          radio_button_img = $el("img", {
+            src: "",
+            style: {width: "auto", height: "100px"}
+          }, []);
+        }
+        const radio_button_text = $el("span", {
+          style: {
+            color: 'gray',
+            display: 'block',
+            fontSize: '12px',
+            overflowX: 'hidden',
+            textOverflow: 'ellipsis',
+            textWrap: 'nowrap',
+            maxWidth: '100px',
+          }
+        }, [output.title])
+        const node_id_chip = $el("span", {
+          style: {
+            color: '#FBFBFD',
+            display: 'block',
+            backgroundColor: 'rgba(0, 0, 0, 0.5)',
+            fontSize: '12px',
+            overflowX: 'hidden',
+            padding: '2px 3px',
+            textOverflow: 'ellipsis',
+            textWrap: 'nowrap',
+            maxWidth: '100px',
+            position: 'absolute',
+            top: '3px',
+            left: '3px',
+            borderRadius: '3px',
+          }
+        }, [`Node: ${node_id}`])
+        radio_button.style.color = "var(--fg-color)";
+        radio_button.checked = this.selectedOutputIndex === index;
+
+        radio_button.onchange = async () => {
+          this.selectedOutputIndex = parseInt(radio_button.value);
+
+          // Remove the "checked" class from all radio buttons
+          this.radioButtons.forEach((ele) => {
+            ele.parentElement.classList.remove("checked");
+          });
+          radio_button.parentElement.classList.add("checked");
+
+          this.fetchImageBlob(radio_button_img.src).then((blob) => {
+            const file = new File([blob], filename, {
+              type: blob.type,
+            });
+            this.previewImage.src = radio_button_img.src;
+            this.previewImage.style.display = "block";
+            this.selectedFile = file;
+          })
+
+          // Add the opacity style toggle here to indicate that they only need
+          // to upload one image or choose one from the outputs.
+          this.outputsSection.style.opacity = 1;
+          this.uploadImagesInput.style.opacity = 0.35;
+        };
+
+        if (radio_button.checked) {
+          this.fetchImageBlob(radio_button_img.src).then((blob) => {
+            const file = new File([blob], filename, {
+              type: blob.type,
+            });
+            this.previewImage.src = radio_button_img.src;
+            this.previewImage.style.display = "block";
+            this.selectedFile = file;
+          })
+          // Add the opacity style toggle here to indicate that they only need
+          // to upload one image or choose one from the outputs.
+          this.outputsSection.style.opacity = 1;
+          this.uploadImagesInput.style.opacity = 0.35;
+        }
+
+        this.radioButtons.push(radio_button);
+
+        return $el(`label.output_label${radio_button.checked ? '.checked' : ''}`, {
+          style: {
+            display: "flex",
+            flexDirection: "column",
+            alignItems: "center",
+            justifyContent: "center",
+            marginBottom: "10px",
+            cursor: "pointer",
+            position: 'relative',
+          }
+        }, [radio_button_img, radio_button_text, radio_button, node_id_chip]);
+      })
+    );
+
+    const header =
+      $el("p", {
+        textContent: this.radioButtons.length === 0 ? "Queue Prompt to see the outputs" : "Or choose one from the outputs (scroll to see all)",
+        size: 2,
+        color: "white",
+        style: {
+          color: 'white',
+          margin: '0 0 5px 0',
+          fontSize: '12px',
+        },
+      }, [])
+    this.outputsSection.innerHTML = "";
+    this.outputsSection.appendChild(header);
+    this.outputsSection.appendChild(new_radio_buttons);
+  }
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-youml.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-youml.js
new file mode 100644
index 0000000000000000000000000000000000000000..80077b25a0c1f0176c4aaa4b4263cadb9a2fbdf7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-youml.js
@@ -0,0 +1,568 @@
+import {app} from "../../scripts/app.js";
+import {api} from "../../scripts/api.js";
+import {ComfyDialog, $el} from "../../scripts/ui.js";
+
+const BASE_URL = "https://youml.com";
+//const BASE_URL = "http://localhost:3000";
+const DEFAULT_HOMEPAGE_URL = `${BASE_URL}/?from=comfyui`;
+const TOKEN_PAGE_URL = `${BASE_URL}/my-token`;
+const API_ENDPOINT = `${BASE_URL}/api`;
+
+const style = `
+  .youml-share-dialog {
+    overflow-y: auto;
+  }
+  .youml-share-dialog .dialog-header {
+    text-align: center;
+    color: white;
+    margin: 0 0 10px 0;
+  }  
+  .youml-share-dialog .dialog-section {
+    margin-bottom: 0;
+    padding: 0;
+    border-radius: 8px;
+    box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
+    display: flex;
+    flex-direction: column;
+    justify-content: center;
+  }  
+  .youml-share-dialog input, .youml-share-dialog textarea {
+    display: block;
+    min-width: 500px;
+    width: 100%;
+    padding: 10px;
+    margin: 10px 0;
+    border-radius: 4px;
+    border: 1px solid #ddd;
+    box-sizing: border-box;
+   }
+  .youml-share-dialog textarea {
+    color: var(--input-text);
+    background-color: var(--comfy-input-bg);
+  } 
+  .youml-share-dialog .workflow-description {
+    min-height: 75px;
+  } 
+  .youml-share-dialog label {
+    color: #f8f8f8;
+    display: block;
+    margin: 5px 0 0 0;
+    font-weight: bold;
+    text-decoration: none;
+  }
+  .youml-share-dialog .action-button {  
+    padding: 10px 80px;
+    margin: 10px 5px;
+    border-radius: 4px;
+    border: none;
+    cursor: pointer;
+  }  
+  .youml-share-dialog .share-button {
+    color: #fff;
+    background-color: #007bff;
+  }  
+  .youml-share-dialog .close-button {  
+    background-color: none;
+  }
+  .youml-share-dialog .action-button-panel {  
+    text-align: right;    
+    display: flex;
+    justify-content: space-between;
+  }
+  .youml-share-dialog .status-message {  
+    color: #fd7909;
+    text-align: center;
+    padding: 5px;
+    font-size: 18px;
+  }
+  .youml-share-dialog .status-message a {  
+    color: white;
+  }  
+  .youml-share-dialog .output-panel {  
+    overflow: auto;
+    max-height: 180px;  
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(100px, 1fr));
+    grid-template-rows: auto;
+    grid-column-gap: 10px;
+    grid-row-gap: 10px;
+    margin-bottom: 10px;
+    padding: 10px;
+    border-radius: 8px;
+    box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
+    background-color: var(--bg-color);
+  }    
+  .youml-share-dialog .output-panel .output-image {  
+    width: 100px;
+    height: 100px;
+    objectFit: cover;
+    borderRadius: 5px;
+  } 
+  
+  .youml-share-dialog .output-panel .radio-button {
+    color:var(--fg-color);
+  }  
+  .youml-share-dialog .output-panel .radio-text {  
+    color: gray;
+    display: block;
+    font-size: 12px;
+    overflow-x: hidden;
+    text-overflow: ellipsis;
+    text-wrap: nowrap;
+    max-width: 100px;
+  }
+  .youml-share-dialog .output-panel .node-id {  
+    color: #FBFBFD;
+    display: block;
+    background-color: rgba(0, 0, 0, 0.5);
+    font-size: 12px;
+    overflow-x: hidden;
+    padding: 2px 3px;
+    text-overflow: ellipsis;
+    text-wrap: nowrap;
+    max-width: 100px;
+    position: absolute;
+    top: 3px;
+    left: 3px;
+    border-radius: 3px;
+  }  
+  .youml-share-dialog .output-panel .output-label {
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    justify-content: center;
+    margin-bottom: 10px;
+    cursor: pointer;
+    position: relative;
+    border: 5px solid transparent;
+  }
+  .youml-share-dialog .output-panel .output-label:hover {
+    border: 5px solid #007bff;
+  }
+  .youml-share-dialog .output-panel .output-label.checked {
+    border: 5px solid #007bff;
+  }  
+  .youml-share-dialog .missing-output-message{
+    color: #fd7909;
+    font-size: 16px;  
+    margin-bottom:10px  
+  }
+  .youml-share-dialog .select-output-message{
+    color: white;
+    margin-bottom:5px  
+  }
+`;
+
+export class YouMLShareDialog extends ComfyDialog {
+  static instance = null;
+
+  constructor() {
+    super();
+    $el("style", {
+      textContent: style,
+      parent: document.head,
+    });
+    this.element = $el(
+      "div.comfy-modal.youml-share-dialog",
+      {
+        parent: document.body,
+      },
+      [$el("div.comfy-modal-content", {}, [...this.createLayout()])]
+    );
+    this.selectedOutputIndex = 0;
+    this.selectedNodeId = null;
+    this.uploadedImages = [];
+    this.selectedFile = null;
+  }
+
+  async loadToken() {
+    let key = ""
+    try {
+      const response = await api.fetchApi(`/manager/youml/settings`)
+      const settings = await response.json()
+      return settings.token
+    } catch (error) {
+    }
+    return key || "";
+  }
+
+  async saveToken(value) {
+    await api.fetchApi(`/manager/youml/settings`, {
+      method: 'POST',
+      headers: {'Content-Type': 'application/json'},
+      body: JSON.stringify({
+        token: value
+      })
+    });
+  }
+
+  createLayout() {
+    // Header Section
+    const headerSection = $el("h3.dialog-header", {
+      textContent: "Share your workflow to YouML.com",
+      size: 3,
+    });
+
+    // Workflow Info Section
+    this.nameInput = $el("input", {
+      type: "text",
+      placeholder: "Name (required)",
+    });
+    this.descriptionInput = $el("textarea.workflow-description", {
+      placeholder: "Description (optional, markdown supported)",
+    });
+    const workflowMetadata = $el("div.dialog-section", {}, [
+      $el("label", {}, ["Workflow info"]),
+      this.nameInput,
+      this.descriptionInput,
+    ]);
+
+    // Outputs Section
+    this.outputsSection = $el("div.dialog-section", {
+      id: "selectOutputs",
+    }, []);
+
+    const outputUploadSection = $el("div.dialog-section", {}, [
+      $el("label", {}, ["Thumbnail"]),
+      this.outputsSection,
+    ]);
+
+    // API Token Section
+    this.apiTokenInput = $el("input", {
+      type: "password",
+      placeholder: "Copy & paste your API token",
+    });
+    const getAPITokenButton = $el("button", {
+      href: DEFAULT_HOMEPAGE_URL,
+      target: "_blank",
+      onclick: () => window.open(TOKEN_PAGE_URL, "_blank"),
+    }, ["Get your API Token"])
+
+    const apiTokenSection = $el("div.dialog-section", {}, [
+      $el("label", {}, ["YouML API Token"]),
+      this.apiTokenInput,
+      getAPITokenButton,
+    ]);
+
+    // Message Section
+    this.message = $el("div.status-message", {}, []);
+
+    // Share and Close Buttons
+    this.shareButton = $el("button.action-button.share-button", {
+      type: "submit",
+      textContent: "Share",
+      onclick: () => {
+        this.handleShareButtonClick();
+      },
+    });
+
+    const buttonsSection = $el(
+      "div.action-button-panel",
+      {},
+      [
+        $el("button.action-button.close-button", {
+          type: "button",
+          textContent: "Close",
+          onclick: () => {
+            this.close();
+          },
+        }),
+        this.shareButton,
+      ]
+    );
+
+    // Composing the full layout
+    const layout = [
+      headerSection,
+      workflowMetadata,
+      outputUploadSection,
+      apiTokenSection,
+      this.message,
+      buttonsSection,
+    ];
+
+    return layout;
+  }
+
+  async fetchYoumlApi(path, options, statusText) {
+    if (statusText) {
+      this.message.textContent = statusText;
+    }
+
+    const fullPath = new URL(API_ENDPOINT + path)
+
+    const fetchOptions = Object.assign({}, options)
+
+    fetchOptions.headers = {
+      ...fetchOptions.headers,
+      "Authorization": `Bearer ${this.apiTokenInput.value}`,
+      "User-Agent": "ComfyUI-Manager-Youml/1.0.0",
+    }
+
+    const response = await fetch(fullPath, fetchOptions);
+
+    if (!response.ok) {
+      throw new Error(response.statusText + " " + (await response.text()));
+    }
+
+    if (statusText) {
+      this.message.textContent = "";
+    }
+    const data = await response.json();
+    return {
+      ok: response.ok,
+      statusText: response.statusText,
+      status: response.status,
+      data,
+    };
+  }
+
+  async uploadThumbnail(uploadFile, recipeId) {
+    const form = new FormData();
+    form.append("file", uploadFile, uploadFile.name);
+    try {
+      const res = await this.fetchYoumlApi(
+        `/v1/comfy/recipes/${recipeId}/thumbnail`,
+        {
+          method: "POST",
+          body: form,
+        },
+        "Uploading thumbnail..."
+      );
+
+    } catch (e) {
+      if (e?.response?.status === 413) {
+        throw new Error("File size is too large (max 20MB)");
+      } else {
+        throw new Error("Error uploading thumbnail: " + e.message);
+      }
+    }
+  }
+
+  async handleShareButtonClick() {
+    this.message.textContent = "";
+    await this.saveToken(this.apiTokenInput.value);
+    try {
+      this.shareButton.disabled = true;
+      this.shareButton.textContent = "Sharing...";
+      await this.share();
+    } catch (e) {
+      alert(e.message);
+    } finally {
+      this.shareButton.disabled = false;
+      this.shareButton.textContent = "Share";
+    }
+  }
+
+  async share() {
+    const prompt = await app.graphToPrompt();
+    const workflowJSON = prompt["workflow"];
+    const workflowAPIJSON = prompt["output"];
+    const form_values = {
+      name: this.nameInput.value,
+      description: this.descriptionInput.value,
+    };
+
+    if (!this.apiTokenInput.value) {
+      throw new Error("API token is required");
+    }
+
+    if (!this.selectedFile) {
+      throw new Error("Thumbnail is required");
+    }
+
+    if (!form_values.name) {
+      throw new Error("Title is required");
+    }
+
+
+    try {
+      let snapshotData = null;
+      try {
+        const snapshot = await api.fetchApi(`/snapshot/get_current`)
+        snapshotData = await snapshot.json()
+      } catch (e) {
+        console.error("Failed to get snapshot", e)
+      }
+
+      const request = {
+        name: this.nameInput.value,
+        description: this.descriptionInput.value,
+        workflowUiJson: JSON.stringify(workflowJSON),
+        workflowApiJson: JSON.stringify(workflowAPIJSON),
+      }
+
+      if (snapshotData) {
+        request.snapshotJson = JSON.stringify(snapshotData)
+      }
+
+      const response = await this.fetchYoumlApi(
+        "/v1/comfy/recipes",
+        {
+          method: "POST",
+          headers: {"Content-Type": "application/json"},
+          body: JSON.stringify(request),
+        },
+        "Uploading workflow..."
+      );
+
+      if (response.ok) {
+        const {id, recipePageUrl, editorPageUrl} = response.data;
+        if (id) {
+          let messagePrefix = "Workflow has been shared."
+          if (this.selectedFile) {
+            try {
+              await this.uploadThumbnail(this.selectedFile, id);
+            } catch (e) {
+              console.error("Thumbnail upload failed: ", e);
+              messagePrefix = "Workflow has been shared, but thumbnail upload failed. You can create a thumbnail on YouML later."
+            }
+          }
+          this.message.innerHTML = `${messagePrefix} To turn your workflow into an interactive app, ` +
+            `<a href="${recipePageUrl}" target="_blank">visit it on YouML</a>`;
+
+          this.uploadedImages = [];
+          this.nameInput.value = "";
+          this.descriptionInput.value = "";
+          this.radioButtons.forEach((ele) => {
+            ele.checked = false;
+            ele.parentElement.classList.remove("checked");
+          });
+          this.selectedOutputIndex = 0;
+          this.selectedNodeId = null;
+          this.selectedFile = null;
+        }
+      }
+    } catch (e) {
+      throw new Error("Error sharing workflow: " + e.message);
+    }
+  }
+
+  async fetchImageBlob(url) {
+    const response = await fetch(url);
+    const blob = await response.blob();
+    return blob;
+  }
+
+  async show(potentialOutputs, potentialOutputNodes) {
+    const potentialOutputsToOrder = {};
+    potentialOutputNodes.forEach((node, index) => {
+      if (node.id in potentialOutputsToOrder) {
+        potentialOutputsToOrder[node.id][1].push(potentialOutputs[index]);
+      } else {
+        potentialOutputsToOrder[node.id] = [node, [potentialOutputs[index]]];
+      }
+    })
+    const sortedPotentialOutputsToOrder = Object.fromEntries(
+      Object.entries(potentialOutputsToOrder).sort((a, b) => a[0].id - b[0].id)
+    );
+    const sortedPotentialOutputs = []
+    const sortedPotentiaOutputNodes = []
+    for (const [key, value] of Object.entries(sortedPotentialOutputsToOrder)) {
+      sortedPotentiaOutputNodes.push(value[0]);
+      sortedPotentialOutputs.push(...value[1]);
+    }
+    potentialOutputNodes = sortedPotentiaOutputNodes;
+    potentialOutputs = sortedPotentialOutputs;
+
+
+    // If `selectedNodeId` is provided, we will select the corresponding radio
+    // button for the node. In addition, we move the selected radio button to
+    // the top of the list.
+    if (this.selectedNodeId) {
+      const index = potentialOutputNodes.findIndex(node => node.id === this.selectedNodeId);
+      if (index >= 0) {
+        this.selectedOutputIndex = index;
+      }
+    }
+
+    this.radioButtons = [];
+    const newRadioButtons = $el("div.output-panel",
+      {
+        id: "selectOutput-Options",
+      },
+      potentialOutputs.map((output, index) => {
+        const {node_id: nodeId} = output;
+        const radioButton = $el("input.radio-button", {
+          type: "radio",
+          name: "selectOutputImages",
+          value: index,
+          required: index === 0
+        }, [])
+        let radioButtonImage;
+        let filename;
+        if (output.type === "image" || output.type === "temp") {
+          radioButtonImage = $el("img.output-image", {
+            src: `/view?filename=${output.image.filename}&subfolder=${output.image.subfolder}&type=${output.image.type}`,
+          }, []);
+          filename = output.image.filename
+        } else if (output.type === "output") {
+          radioButtonImage = $el("img.output-image", {
+            src: output.output.value,
+          }, []);
+          filename = output.output.filename
+        } else {
+          radioButtonImage = $el("img.output-image", {
+            src: "",
+          }, []);
+        }
+        const radioButtonText = $el("span.radio-text", {}, [output.title])
+        const nodeIdChip = $el("span.node-id", {}, [`Node: ${nodeId}`])
+        radioButton.checked = this.selectedOutputIndex === index;
+
+        radioButton.onchange = async () => {
+          this.selectedOutputIndex = parseInt(radioButton.value);
+
+          // Remove the "checked" class from all radio buttons
+          this.radioButtons.forEach((ele) => {
+            ele.parentElement.classList.remove("checked");
+          });
+          radioButton.parentElement.classList.add("checked");
+
+          this.fetchImageBlob(radioButtonImage.src).then((blob) => {
+            const file = new File([blob], filename, {
+              type: blob.type,
+            });
+            this.selectedFile = file;
+          })
+        };
+
+        if (radioButton.checked) {
+          this.fetchImageBlob(radioButtonImage.src).then((blob) => {
+            const file = new File([blob], filename, {
+              type: blob.type,
+            });
+            this.selectedFile = file;
+          })
+        }
+
+        this.radioButtons.push(radioButton);
+
+        return $el(`label.output-label${radioButton.checked ? '.checked' : ''}`, {},
+          [radioButtonImage, radioButtonText, radioButton, nodeIdChip]);
+      })
+    );
+
+    let header;
+    if (this.radioButtons.length === 0) {
+      header = $el("div.missing-output-message", {textContent: "Queue Prompt to see the outputs and select a thumbnail"}, [])
+    } else {
+      header = $el("div.select-output-message", {textContent: "Choose one from the outputs (scroll to see all)"}, [])
+    }
+
+    this.outputsSection.innerHTML = "";
+    this.outputsSection.appendChild(header);
+    if (this.radioButtons.length > 0) {
+      this.outputsSection.appendChild(newRadioButtons);
+    }
+
+    this.message.innerHTML = "";
+    this.message.textContent = "";
+
+    const token = await this.loadToken();
+    this.apiTokenInput.value = token;
+    this.uploadedImages = [];
+
+    this.element.style.display = "block";
+  }
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/common.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/common.js
new file mode 100644
index 0000000000000000000000000000000000000000..49a47d6f51102547ec1b51c53df169e114ed2895
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/common.js
@@ -0,0 +1,240 @@
+import { app } from "../../scripts/app.js";
+import { api } from "../../scripts/api.js";
+import { $el, ComfyDialog } from "../../scripts/ui.js";
+
+export function show_message(msg) {
+	app.ui.dialog.show(msg);
+	app.ui.dialog.element.style.zIndex = 10010;
+}
+
+export async function sleep(ms) {
+	return new Promise(resolve => setTimeout(resolve, ms));
+}
+
+export function rebootAPI() {
+	if (confirm("Are you sure you'd like to reboot the server?")) {
+		try {
+			api.fetchApi("/manager/reboot");
+		}
+		catch(exception) {
+
+		}
+		return true;
+	}
+
+	return false;
+}
+
+export var manager_instance = null;
+
+export function setManagerInstance(obj) {
+	manager_instance = obj;
+}
+
+export function showToast(message, duration = 3000) {
+	const toast = $el("div.comfy-toast", {textContent: message});
+	document.body.appendChild(toast);
+	setTimeout(() => {
+		toast.classList.add("comfy-toast-fadeout");
+		setTimeout(() => toast.remove(), 500);
+	}, duration);
+}
+
+function isValidURL(url) {
+	if(url.includes('&'))
+		return false;
+
+	const http_pattern = /^(https?|ftp):\/\/[^\s$?#]+$/;
+	const ssh_pattern = /^(.+@|ssh:\/\/).+:.+$/;
+	return http_pattern.test(url) || ssh_pattern.test(url);
+}
+
+export async function install_pip(packages) {
+	if(packages.includes('&'))
+		app.ui.dialog.show(`Invalid PIP package enumeration: '${packages}'`);
+
+	const res = await api.fetchApi("/customnode/install/pip", {
+		method: "POST",
+		body: packages,
+	});
+
+	if(res.status == 403) {
+		show_message('This action is not allowed with this security level configuration.');
+		return;
+	}
+
+	if(res.status == 200) {
+		show_message(`PIP package installation is processed.<br>To apply the pip packages, please click the <button id='cm-reboot-button3'><font size='3px'>RESTART</font></button> button in ComfyUI.`);
+
+		const rebootButton = document.getElementById('cm-reboot-button3');
+		const self = this;
+
+		rebootButton.addEventListener("click", rebootAPI);
+	}
+	else {
+		show_message(`Failed to install '${packages}'<BR>See terminal log.`);
+	}
+}
+
+export async function install_via_git_url(url, manager_dialog) {
+	if(!url) {
+		return;
+	}
+
+	if(!isValidURL(url)) {
+		show_message(`Invalid Git url '${url}'`);
+		return;
+	}
+
+	show_message(`Wait...<BR><BR>Installing '${url}'`);
+
+	const res = await api.fetchApi("/customnode/install/git_url", {
+		method: "POST",
+		body: url,
+	});
+
+	if(res.status == 403) {
+		show_message('This action is not allowed with this security level configuration.');
+		return;
+	}
+
+	if(res.status == 200) {
+		show_message(`'${url}' is installed<BR>To apply the installed custom node, please <button id='cm-reboot-button4'><font size='3px'>RESTART</font></button> ComfyUI.`);
+
+		const rebootButton = document.getElementById('cm-reboot-button4');
+		const self = this;
+
+		rebootButton.addEventListener("click",
+			function() {
+				if(rebootAPI()) {
+					manager_dialog.close();
+				}
+			});
+	}
+	else {
+		show_message(`Failed to install '${url}'<BR>See terminal log.`);
+	}
+}
+
+export async function free_models(free_execution_cache) {
+	try {
+		let mode = "";
+		if(free_execution_cache) {
+			mode = '{"unload_models": true, "free_memory": true}';
+		}
+		else {
+			mode = '{"unload_models": true}';
+		}
+
+		let res = await api.fetchApi(`/free`, {
+			method: 'POST',
+			headers: { 'Content-Type': 'application/json' },
+			body: mode
+		});
+
+		if (res.status == 200) {
+			if(free_execution_cache) {
+				showToast("'Models' and 'Execution Cache' have been cleared.", 3000);
+			}
+			else {
+				showToast("Models' have been unloaded.", 3000);
+			}
+		} else {
+			showToast('Unloading of models failed. Installed ComfyUI may be an outdated version.', 5000);
+		}
+	} catch (error) {
+		showToast('An error occurred while trying to unload models.', 5000);
+	}
+}
+
+export function md5(inputString) {
+	const hc = '0123456789abcdef';
+	const rh = n => {let j,s='';for(j=0;j<=3;j++) s+=hc.charAt((n>>(j*8+4))&0x0F)+hc.charAt((n>>(j*8))&0x0F);return s;}
+	const ad = (x,y) => {let l=(x&0xFFFF)+(y&0xFFFF);let m=(x>>16)+(y>>16)+(l>>16);return (m<<16)|(l&0xFFFF);}
+	const rl = (n,c) => (n<<c)|(n>>>(32-c));
+	const cm = (q,a,b,x,s,t) => ad(rl(ad(ad(a,q),ad(x,t)),s),b);
+	const ff = (a,b,c,d,x,s,t) => cm((b&c)|((~b)&d),a,b,x,s,t);
+	const gg = (a,b,c,d,x,s,t) => cm((b&d)|(c&(~d)),a,b,x,s,t);
+	const hh = (a,b,c,d,x,s,t) => cm(b^c^d,a,b,x,s,t);
+	const ii = (a,b,c,d,x,s,t) => cm(c^(b|(~d)),a,b,x,s,t);
+	const sb = x => {
+	let i;const nblk=((x.length+8)>>6)+1;const blks=[];for(i=0;i<nblk*16;i++) { blks[i]=0 };
+	for(i=0;i<x.length;i++) {blks[i>>2]|=x.charCodeAt(i)<<((i%4)*8);}
+		blks[i>>2]|=0x80<<((i%4)*8);blks[nblk*16-2]=x.length*8;return blks;
+	}
+	let i,x=sb(inputString),a=1732584193,b=-271733879,c=-1732584194,d=271733878,olda,oldb,oldc,oldd;
+	for(i=0;i<x.length;i+=16) {olda=a;oldb=b;oldc=c;oldd=d;
+		a=ff(a,b,c,d,x[i+ 0], 7, -680876936);d=ff(d,a,b,c,x[i+ 1],12, -389564586);c=ff(c,d,a,b,x[i+ 2],17,  606105819);
+		b=ff(b,c,d,a,x[i+ 3],22,-1044525330);a=ff(a,b,c,d,x[i+ 4], 7, -176418897);d=ff(d,a,b,c,x[i+ 5],12, 1200080426);
+		c=ff(c,d,a,b,x[i+ 6],17,-1473231341);b=ff(b,c,d,a,x[i+ 7],22,  -45705983);a=ff(a,b,c,d,x[i+ 8], 7, 1770035416);
+		d=ff(d,a,b,c,x[i+ 9],12,-1958414417);c=ff(c,d,a,b,x[i+10],17,     -42063);b=ff(b,c,d,a,x[i+11],22,-1990404162);
+		a=ff(a,b,c,d,x[i+12], 7, 1804603682);d=ff(d,a,b,c,x[i+13],12,  -40341101);c=ff(c,d,a,b,x[i+14],17,-1502002290);
+		b=ff(b,c,d,a,x[i+15],22, 1236535329);a=gg(a,b,c,d,x[i+ 1], 5, -165796510);d=gg(d,a,b,c,x[i+ 6], 9,-1069501632);
+		c=gg(c,d,a,b,x[i+11],14,  643717713);b=gg(b,c,d,a,x[i+ 0],20, -373897302);a=gg(a,b,c,d,x[i+ 5], 5, -701558691);
+		d=gg(d,a,b,c,x[i+10], 9,   38016083);c=gg(c,d,a,b,x[i+15],14, -660478335);b=gg(b,c,d,a,x[i+ 4],20, -405537848);
+		a=gg(a,b,c,d,x[i+ 9], 5,  568446438);d=gg(d,a,b,c,x[i+14], 9,-1019803690);c=gg(c,d,a,b,x[i+ 3],14, -187363961);
+		b=gg(b,c,d,a,x[i+ 8],20, 1163531501);a=gg(a,b,c,d,x[i+13], 5,-1444681467);d=gg(d,a,b,c,x[i+ 2], 9,  -51403784);
+		c=gg(c,d,a,b,x[i+ 7],14, 1735328473);b=gg(b,c,d,a,x[i+12],20,-1926607734);a=hh(a,b,c,d,x[i+ 5], 4,    -378558);
+		d=hh(d,a,b,c,x[i+ 8],11,-2022574463);c=hh(c,d,a,b,x[i+11],16, 1839030562);b=hh(b,c,d,a,x[i+14],23,  -35309556);
+		a=hh(a,b,c,d,x[i+ 1], 4,-1530992060);d=hh(d,a,b,c,x[i+ 4],11, 1272893353);c=hh(c,d,a,b,x[i+ 7],16, -155497632);
+		b=hh(b,c,d,a,x[i+10],23,-1094730640);a=hh(a,b,c,d,x[i+13], 4,  681279174);d=hh(d,a,b,c,x[i+ 0],11, -358537222);
+		c=hh(c,d,a,b,x[i+ 3],16, -722521979);b=hh(b,c,d,a,x[i+ 6],23,   76029189);a=hh(a,b,c,d,x[i+ 9], 4, -640364487);
+		d=hh(d,a,b,c,x[i+12],11, -421815835);c=hh(c,d,a,b,x[i+15],16,  530742520);b=hh(b,c,d,a,x[i+ 2],23, -995338651);
+		a=ii(a,b,c,d,x[i+ 0], 6, -198630844);d=ii(d,a,b,c,x[i+ 7],10, 1126891415);c=ii(c,d,a,b,x[i+14],15,-1416354905);
+		b=ii(b,c,d,a,x[i+ 5],21,  -57434055);a=ii(a,b,c,d,x[i+12], 6, 1700485571);d=ii(d,a,b,c,x[i+ 3],10,-1894986606);
+		c=ii(c,d,a,b,x[i+10],15,   -1051523);b=ii(b,c,d,a,x[i+ 1],21,-2054922799);a=ii(a,b,c,d,x[i+ 8], 6, 1873313359);
+		d=ii(d,a,b,c,x[i+15],10,  -30611744);c=ii(c,d,a,b,x[i+ 6],15,-1560198380);b=ii(b,c,d,a,x[i+13],21, 1309151649);
+		a=ii(a,b,c,d,x[i+ 4], 6, -145523070);d=ii(d,a,b,c,x[i+11],10,-1120210379);c=ii(c,d,a,b,x[i+ 2],15,  718787259);
+		b=ii(b,c,d,a,x[i+ 9],21, -343485551);a=ad(a,olda);b=ad(b,oldb);c=ad(c,oldc);d=ad(d,oldd);
+	}
+	return rh(a)+rh(b)+rh(c)+rh(d);
+}
+
+export async function fetchData(route, options) {
+	let err;
+	const res = await api.fetchApi(route, options).catch(e => {
+		err = e;
+	});
+
+	if (!res) {
+		return {
+			status: 400,
+			error: new Error("Unknown Error")
+		}
+	}
+
+	const { status, statusText } = res;
+	if (err) {
+		return {
+			status,
+			error: err
+		}
+	}
+
+	if (status !== 200) {
+		return {
+			status,
+			error: new Error(statusText || "Unknown Error")
+		}
+	}
+
+	const data = await res.json();
+	if (!data) {
+		return {
+			status,
+			error: new Error(`Failed to load data: ${route}`)
+		}
+	}
+	return {
+		status,
+		data
+	}
+}
+
+export const icons = {
+	search: '<svg viewBox="0 0 24 24" width="100%" height="100%" pointer-events="none" xmlns="http://www.w3.org/2000/svg"><path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="m21 21-4.486-4.494M19 10.5a8.5 8.5 0 1 1-17 0 8.5 8.5 0 0 1 17 0"/></svg>',
+	extensions: '<svg viewBox="64 64 896 896" width="100%" height="100%" pointer-events="none" xmlns="http://www.w3.org/2000/svg"><path fill="currentColor" d="M843.5 737.4c-12.4-75.2-79.2-129.1-155.3-125.4S550.9 676 546 752c-153.5-4.8-208-40.7-199.1-113.7 3.3-27.3 19.8-41.9 50.1-49 18.4-4.3 38.8-4.9 57.3-3.2 1.7.2 3.5.3 5.2.5 11.3 2.7 22.8 5 34.3 6.8 34.1 5.6 68.8 8.4 101.8 6.6 92.8-5 156-45.9 159.2-132.7 3.1-84.1-54.7-143.7-147.9-183.6-29.9-12.8-61.6-22.7-93.3-30.2-14.3-3.4-26.3-5.7-35.2-7.2-7.9-75.9-71.5-133.8-147.8-134.4S189.7 168 180.5 243.8s40 146.3 114.2 163.9 149.9-23.3 175.7-95.1c9.4 1.7 18.7 3.6 28 5.8 28.2 6.6 56.4 15.4 82.4 26.6 70.7 30.2 109.3 70.1 107.5 119.9-1.6 44.6-33.6 65.2-96.2 68.6-27.5 1.5-57.6-.9-87.3-5.8-8.3-1.4-15.9-2.8-22.6-4.3-3.9-.8-6.6-1.5-7.8-1.8l-3.1-.6c-2.2-.3-5.9-.8-10.7-1.3-25-2.3-52.1-1.5-78.5 4.6-55.2 12.9-93.9 47.2-101.1 105.8-15.7 126.2 78.6 184.7 276 188.9 29.1 70.4 106.4 107.9 179.6 87 73.3-20.9 119.3-93.4 106.9-168.6M329.1 345.2a83.3 83.3 0 1 1 .01-166.61 83.3 83.3 0 0 1-.01 166.61M695.6 845a83.3 83.3 0 1 1 .01-166.61A83.3 83.3 0 0 1 695.6 845"/></svg>',
+	conflicts: '<svg viewBox="0 0 400 400" width="100%" height="100%" pointer-events="none" xmlns="http://www.w3.org/2000/svg"><path fill="currentColor" d="m397.2 350.4.2-.2-180-320-.2.2C213.8 24.2 207.4 20 200 20s-13.8 4.2-17.2 10.4l-.2-.2-180 320 .2.2c-1.6 2.8-2.8 6-2.8 9.6 0 11 9 20 20 20h360c11 0 20-9 20-20 0-3.6-1.2-6.8-2.8-9.6M220 340h-40v-40h40zm0-60h-40V120h40z"/></svg>',
+	passed: '<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 426.667 426.667"><path fill="#6AC259" d="M213.333,0C95.518,0,0,95.514,0,213.333s95.518,213.333,213.333,213.333c117.828,0,213.333-95.514,213.333-213.333S331.157,0,213.333,0z M174.199,322.918l-93.935-93.931l31.309-31.309l62.626,62.622l140.894-140.898l31.309,31.309L174.199,322.918z"/></svg>',
+	download: '<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" width="100%" height="100%" viewBox="0 0 32 32"><path fill="currentColor" d="M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"></path></svg>'
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/components-manager.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/components-manager.js
new file mode 100644
index 0000000000000000000000000000000000000000..248a74d25164905a09d1d68c039f079bcdb2a7ae
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/components-manager.js
@@ -0,0 +1,809 @@
+import { app } from "../../scripts/app.js";
+import { api } from "../../scripts/api.js"
+import { sleep, show_message } from "./common.js";
+import { GroupNodeConfig, GroupNodeHandler } from "../../extensions/core/groupNode.js";
+import { ComfyDialog, $el } from "../../scripts/ui.js";
+
+let pack_map = {};
+let rpack_map = {};
+
+export function getPureName(node) {
+	// group nodes/
+	let category = null;
+	if(node.category) {
+		category = node.category.substring(12);
+	}
+	else {
+		category = node.constructor.category?.substring(12);
+	}
+	if(category) {
+		let purename = node.comfyClass.substring(category.length+1);
+		return purename;
+	}
+	else if(node.comfyClass.startsWith('workflow/')) {
+		return node.comfyClass.substring(9);
+	}
+	else {
+		return node.comfyClass;
+	}
+}
+
+function isValidVersionString(version) {
+	const versionPattern = /^(\d+)\.(\d+)(\.(\d+))?$/;
+	
+	const match = version.match(versionPattern);
+
+	return match !== null &&
+			parseInt(match[1], 10) >= 0 &&
+			parseInt(match[2], 10) >= 0 &&
+			(!match[3] || parseInt(match[4], 10) >= 0);
+}
+
+function register_pack_map(name, data) {
+	if(data.packname) {
+		pack_map[data.packname] = name;
+		rpack_map[name] = data;
+	}
+	else {
+		rpack_map[name] = data;
+	}
+}
+
+function storeGroupNode(name, data, register=true) {
+	let extra = app.graph.extra;
+	if (!extra) app.graph.extra = extra = {};
+	let groupNodes = extra.groupNodes;
+	if (!groupNodes) extra.groupNodes = groupNodes = {};
+	groupNodes[name] = data;
+
+	if(register) {
+		register_pack_map(name, data);
+	}
+}
+
+export async function load_components() {
+	let data = await api.fetchApi('/manager/component/loads', {method: "POST"});
+	let components = await data.json();
+
+	let start_time = Date.now();
+	let failed = [];
+	let failed2 = [];
+
+	for(let name in components) {
+		if(app.graph.extra?.groupNodes?.[name]) {
+			if(data) {
+				let data = components[name];
+
+				let category = data.packname;
+				if(data.category) {
+					category += "/" + data.category;
+				}
+				if(category == '') {
+					category = 'components';
+				}
+
+				const config = new GroupNodeConfig(name, data);
+				await config.registerType(category);
+
+				register_pack_map(name, data);
+				continue;
+			}
+		}
+
+		let nodeData = components[name];
+
+		storeGroupNode(name, nodeData);
+
+		const config = new GroupNodeConfig(name, nodeData);
+
+		while(true) {
+			try {
+				let category = nodeData.packname;
+				if(nodeData.category) {
+					category += "/" + nodeData.category;
+				}
+				if(category == '') {
+					category = 'components';
+				}
+
+				await config.registerType(category);
+				register_pack_map(name, nodeData);
+				break;
+			}
+			catch {
+				let elapsed_time = Date.now() - start_time;
+				if (elapsed_time > 5000) {
+					failed.push(name);
+					break;
+				} else {
+					await sleep(100);
+				}
+			}
+		}
+	}
+
+	// fallback1
+	for(let i in failed) {
+		let name = failed[i];
+
+		if(app.graph.extra?.groupNodes?.[name]) {
+			continue;
+		}
+
+		let nodeData = components[name];
+
+		storeGroupNode(name, nodeData);
+
+		const config = new GroupNodeConfig(name, nodeData);
+		while(true) {
+			try {
+				let category = nodeData.packname;
+				if(nodeData.workflow.category) {
+					category += "/" + nodeData.category;
+				}
+				if(category == '') {
+					category = 'components';
+				}
+
+				await config.registerType(category);
+				register_pack_map(name, nodeData);
+				break;
+			}
+			catch {
+				let elapsed_time = Date.now() - start_time;
+				if (elapsed_time > 10000) {
+					failed2.push(name);
+					break;
+				} else {
+					await sleep(100);
+				}
+			}
+		}
+	}
+
+	// fallback2
+	for(let name in failed2) {
+		let name = failed2[i];
+
+		let nodeData = components[name];
+
+		storeGroupNode(name, nodeData);
+
+		const config = new GroupNodeConfig(name, nodeData);
+		while(true) {
+			try {
+				let category = nodeData.workflow.packname;
+				if(nodeData.workflow.category) {
+					category += "/" + nodeData.category;
+				}
+				if(category == '') {
+					category = 'components';
+				}
+
+				await config.registerType(category);
+				register_pack_map(name, nodeData);
+				break;
+			}
+			catch {
+				let elapsed_time = Date.now() - start_time;
+				if (elapsed_time > 30000) {
+					failed.push(name);
+					break;
+				} else {
+					await sleep(100);
+				}
+			}
+		}
+	}
+}
+
+async function save_as_component(node, version, author, prefix, nodename, packname, category) {
+	let component_name = `${prefix}::${nodename}`;
+
+	let subgraph = app.graph.extra?.groupNodes?.[component_name];
+	if(!subgraph) {
+		subgraph = app.graph.extra?.groupNodes?.[getPureName(node)];
+	}
+
+	subgraph.version = version;
+	subgraph.author = author;
+	subgraph.datetime = Date.now();
+	subgraph.packname = packname;
+	subgraph.category = category;
+
+	let body =
+		{
+			name: component_name,
+			workflow: subgraph
+		};
+
+	pack_map[packname] = component_name;
+	rpack_map[component_name] = subgraph;
+
+	const res = await api.fetchApi('/manager/component/save', {
+			method: "POST",
+			headers: {
+				"Content-Type": "application/json",
+			},
+			body: JSON.stringify(body),
+		});
+
+	if(res.status == 200) {
+		storeGroupNode(component_name, subgraph);
+		const config = new GroupNodeConfig(component_name, subgraph);
+
+		let category = body.workflow.packname;
+		if(body.workflow.category) {
+			category += "/" + body.workflow.category;
+		}
+		if(category == '') {
+			category = 'components';
+		}
+
+		await config.registerType(category);
+
+		let path = await res.text();
+		show_message(`Component '${component_name}' is saved into:\n${path}`);
+	}
+	else
+		show_message(`Failed to save component.`);
+}
+
+async function import_component(component_name, component, mode) {
+	if(mode) {
+		let body =
+			{
+				name: component_name,
+				workflow: component
+			};
+
+		const res = await api.fetchApi('/manager/component/save', {
+						method: "POST",
+						headers: { "Content-Type": "application/json", },
+						body: JSON.stringify(body)
+					});
+	}
+
+	let category = component.packname;
+	if(component.category) {
+		category += "/" + component.category;
+	}
+	if(category == '') {
+		category = 'components';
+	}
+
+	storeGroupNode(component_name, component);
+	const config = new GroupNodeConfig(component_name, component);
+	await config.registerType(category);
+}
+
+function restore_to_loaded_component(component_name) {
+	if(rpack_map[component_name]) {
+		let component = rpack_map[component_name];
+		storeGroupNode(component_name, component, false);
+		const config = new GroupNodeConfig(component_name, component);
+		config.registerType(component.category);
+	}
+}
+
+// Using a timestamp prevents duplicate pastes and ensures the prevention of re-deletion of litegrapheditor_clipboard.
+let last_paste_timestamp = null;
+
+function versionCompare(v1, v2) {
+	let ver1;
+	let ver2;
+	if(v1 && v1 != '') {
+		ver1 = v1.split('.');
+		ver1[0] = parseInt(ver1[0]);
+		ver1[1] = parseInt(ver1[1]);
+		if(ver1.length == 2)
+			ver1.push(0);
+		else
+			ver1[2] = parseInt(ver2[2]);
+	}
+	else {
+		ver1 = [0,0,0];
+	}
+
+	if(v2 && v2 != '') {
+		ver2 = v2.split('.');
+		ver2[0] = parseInt(ver2[0]);
+		ver2[1] = parseInt(ver2[1]);
+		if(ver2.length == 2)
+			ver2.push(0);
+		else
+			ver2[2] = parseInt(ver2[2]);
+	}
+	else {
+		ver2 = [0,0,0];
+	}
+
+	if(ver1[0] > ver2[0])
+		return -1;
+	else if(ver1[0] < ver2[0])
+		return 1;
+
+	if(ver1[1] > ver2[1])
+		return -1;
+	else if(ver1[1] < ver2[1])
+		return 1;
+
+	if(ver1[2] > ver2[2])
+		return -1;
+	else if(ver1[2] < ver2[2])
+		return 1;
+
+	return 0;
+}
+
+function checkVersion(name, component) {
+	let msg = '';
+	if(rpack_map[name]) {
+		let old_version = rpack_map[name].version;
+		if(!old_version || old_version == '') {
+			msg = `  '${name}' Upgrade (V0.0 -> V${component.version})`;
+		}
+		else {
+			let c = versionCompare(old_version, component.version);
+			if(c < 0) {
+				msg = `  '${name}' Downgrade (V${old_version} -> V${component.version})`;
+			}
+			else if(c > 0) {
+				msg = `  '${name}' Upgrade (V${old_version} -> V${component.version})`;
+			}
+			else {
+				msg = `  '${name}' Same version (V${component.version})`;
+			}
+		}
+	}
+	else {
+		msg = `'${name}' NEW (V${component.version})`;
+	}
+
+	return msg;
+}
+
+function handle_import_components(components) {
+	let msg = 'Components:\n';
+	let cnt = 0;
+	for(let name in components) {
+		let component = components[name];
+		let v = checkVersion(name, component);
+
+		if(cnt < 10) {
+			msg += v + '\n';
+		}
+		else if (cnt == 10) {
+			msg += '...\n';
+		}
+		else {
+			// do nothing
+		}
+
+		cnt++;
+	}
+
+	let last_name = null;
+	msg += '\nWill you load components?\n';
+	if(confirm(msg)) {
+		let mode = confirm('\nWill you save components?\n(cancel=load without save)');
+
+		for(let name in components) {
+			let component = components[name];
+			import_component(name, component, mode);
+			last_name = name;
+		}
+
+		if(mode) {
+			show_message('Components are saved.');
+		}
+		else {
+			show_message('Components are loaded.');
+		}
+	}
+
+	if(cnt == 1 && last_name) {
+		const node = LiteGraph.createNode(`workflow/${last_name}`);
+		node.pos = [app.canvas.graph_mouse[0], app.canvas.graph_mouse[1]];
+		app.canvas.graph.add(node, false);
+	}
+}
+
+function handlePaste(e) {
+	let data = (e.clipboardData || window.clipboardData);
+	const items = data.items;
+	for(const item of items) {
+		if(item.kind == 'string' && item.type == 'text/plain') {
+			data = data.getData("text/plain");
+			try {
+				let json_data = JSON.parse(data);
+				if(json_data.kind == 'ComfyUI Components' && last_paste_timestamp != json_data.timestamp) {
+					last_paste_timestamp = json_data.timestamp;
+					handle_import_components(json_data.components);
+
+					// disable paste node
+					localStorage.removeItem("litegrapheditor_clipboard", null);
+				}
+				else {
+					console.log('This components are already pasted: ignored');
+				}
+			}
+			catch {
+				// nothing to do
+			}
+		}
+	}
+}
+
+document.addEventListener("paste", handlePaste);
+
+
+export class ComponentBuilderDialog extends ComfyDialog {
+	constructor() {
+		super();
+	}
+
+	clear() {
+		while (this.element.children.length) {
+			this.element.removeChild(this.element.children[0]);
+		}
+	}
+
+	show() {
+		this.invalidateControl();
+
+		this.element.style.display = "block";
+		this.element.style.zIndex = 10001;
+		this.element.style.width = "500px";
+		this.element.style.height = "480px";
+	}
+
+	invalidateControl() {
+		this.clear();
+
+		let self = this;
+
+		const close_button = $el("button", { id: "cm-close-button", type: "button", textContent: "Close", onclick: () => self.close() });
+		this.save_button = $el("button",
+					{ id: "cm-save-button", type: "button", textContent: "Save", onclick: () =>
+							{
+								save_as_component(self.target_node, self.version_string.value.trim(), self.author.value.trim(), self.node_prefix.value.trim(),
+												  self.getNodeName(), self.getPackName(), self.category.value.trim());
+							}
+					});
+
+		let default_nodename = getPureName(this.target_node).trim();
+
+		let groupNode = app.graph.extra.groupNodes[default_nodename];
+		let default_packname = groupNode.packname;
+		if(!default_packname) {
+			default_packname = '';
+		}
+
+		let default_category = groupNode.category;
+		if(!default_category) {
+			default_category = '';
+		}
+
+		this.default_ver = groupNode.version;
+		if(!this.default_ver) {
+			this.default_ver = '0.0';
+		}
+
+		let default_author = groupNode.author;
+		if(!default_author) {
+			default_author = '';
+		}
+
+		let delimiterIndex = default_nodename.indexOf('::');
+		let default_prefix = "";
+		if(delimiterIndex != -1) {
+			default_prefix = default_nodename.substring(0, delimiterIndex);
+			default_nodename = default_nodename.substring(delimiterIndex + 2);
+		}
+
+		if(!default_prefix) {
+			this.save_button.disabled = true;
+		}
+
+		this.pack_list = this.createPackListCombo();
+
+		let version_string = this.createLabeledInput('input version (e.g. 1.0)', '*Version : ',  this.default_ver);
+		this.version_string = version_string[1];
+		this.version_string.disabled = true;
+
+		let author = this.createLabeledInput('input author (e.g. Dr.Lt.Data)', 'Author : ',  default_author);
+		this.author = author[1];
+
+		let node_prefix = this.createLabeledInput('input node prefix (e.g. mypack)', '*Prefix : ',  default_prefix);
+		this.node_prefix = node_prefix[1];
+
+		let manual_nodename = this.createLabeledInput('input node name (e.g. MAKE_BASIC_PIPE)', 'Nodename : ', default_nodename);
+		this.manual_nodename = manual_nodename[1];
+
+		let manual_packname = this.createLabeledInput('input pack name (e.g. mypack)', 'Packname : ',  default_packname);
+		this.manual_packname = manual_packname[1];
+
+		let category = this.createLabeledInput('input category (e.g. util/pipe)', 'Category : ',  default_category);
+		this.category = category[1];
+
+		this.node_label = this.createNodeLabel();
+
+		let author_mode = this.createAuthorModeCheck();
+		this.author_mode = author_mode[0];
+
+		const content =
+				$el("div.comfy-modal-content",
+					[
+						$el("tr.cm-title", {}, [
+								$el("font", {size:6, color:"white"}, [`ComfyUI-Manager: Component Builder`])]
+							),
+						$el("br", {}, []),
+						$el("div.cm-menu-container",
+							[
+								author_mode[0],
+								author_mode[1],
+								category[0],
+								author[0],
+								node_prefix[0],
+								manual_nodename[0],
+								manual_packname[0],
+								version_string[0],
+								this.pack_list,
+								$el("br", {}, []),
+								this.node_label
+							]),
+
+						$el("br", {}, []),
+						this.save_button,
+						close_button,
+					]
+				);
+
+		content.style.width = '100%';
+		content.style.height = '100%';
+
+		this.element = $el("div.comfy-modal", { id:'cm-manager-dialog', parent: document.body }, [ content ]);
+	}
+
+	validateInput() {
+		let msg = "";
+
+		if(!isValidVersionString(this.version_string.value)) {
+			msg += 'Invalid version string: '+event.value+"\n";
+		}
+
+		if(this.node_prefix.value.trim() == '') {
+			msg += 'Node prefix cannot be empty\n';
+		}
+
+		if(this.manual_nodename.value.trim() == '') {
+			msg += 'Node name cannot be empty\n';
+		}
+
+		if(msg != '') {
+//			alert(msg);
+		}
+
+		this.save_button.disabled = msg != "";
+	}
+
+	getPackName() {
+		if(this.pack_list.selectedIndex == 0) {
+			return this.manual_packname.value.trim();
+		}
+
+		return this.pack_list.value.trim();
+	}
+
+	getNodeName() {
+		if(this.manual_nodename.value.trim() != '') {
+			return this.manual_nodename.value.trim();
+		}
+
+		return getPureName(this.target_node);
+	}
+
+	createAuthorModeCheck() {
+		let check = $el("input",{type:'checkbox', id:"author-mode"},[])
+		const check_label = $el("label",{for:"author-mode"},["Enable author mode"]);
+		check_label.style.color = "var(--fg-color)";
+		check_label.style.cursor = "pointer";
+		check.checked = false;
+
+		let self = this;
+		check.onchange = () => {
+			self.version_string.disabled = !check.checked;
+
+			if(!check.checked) {
+				self.version_string.value = self.default_ver;
+			}
+			else {
+				alert('If you are not the author, it is not recommended to change the version, as it may cause component update issues.');
+			}
+		};
+
+		return [check, check_label];
+	}
+
+	createNodeLabel() {
+		let label = $el('p');
+		label.className = 'cb-node-label';
+		if(this.target_node.comfyClass.includes('::'))
+			label.textContent = getPureName(this.target_node);
+		else
+			label.textContent = " _::" + getPureName(this.target_node);
+		return label;
+	}
+
+	createLabeledInput(placeholder, label, value) {
+		let textbox = $el('input.cb-widget-input', {type:'text', placeholder:placeholder, value:value}, []);
+
+		let self = this;
+		textbox.onchange = () => {
+			this.validateInput.call(self);
+			this.node_label.textContent = this.node_prefix.value + "::" + this.manual_nodename.value;
+		}
+		let row = $el('span.cb-widget', {}, [ $el('span.cb-widget-input-label', label), textbox]);
+
+		return [row, textbox];
+	}
+
+	createPackListCombo() {
+		let combo = document.createElement("select");
+		combo.className = "cb-widget";
+		let default_packname_option = { value: '##manual', text: 'Packname: Manual' };
+
+		combo.appendChild($el('option', default_packname_option, []));
+		for(let name in pack_map) {
+			combo.appendChild($el('option', { value: name, text: 'Packname: '+ name }, []));
+		}
+
+		let self = this;
+		combo.onchange = function () {
+			if(combo.selectedIndex == 0) {
+				self.manual_packname.disabled = false;
+			}
+			else {
+				self.manual_packname.disabled = true;
+			}
+		};
+
+		return combo;
+	}
+}
+
+let orig_handleFile = app.handleFile;
+
+function handleFile(file) {
+	if (file.name?.endsWith(".json") || file.name?.endsWith(".pack")) {
+		const reader = new FileReader();
+		reader.onload = async () => {
+			let is_component = false;
+			const jsonContent = JSON.parse(reader.result);
+			for(let name in jsonContent) {
+				let cand = jsonContent[name];
+				is_component = cand.datetime && cand.version;
+				break;
+			}
+
+			if(is_component) {
+				handle_import_components(jsonContent);
+			}
+			else {
+				orig_handleFile.call(app, file);
+			}
+		};
+		reader.readAsText(file);
+
+		return;
+	}
+
+	orig_handleFile.call(app, file);
+}
+
+app.handleFile = handleFile;
+
+let current_component_policy = 'workflow';
+try {
+	api.fetchApi('/manager/component/policy')
+		.then(response => response.text())
+		.then(data => { current_component_policy = data; });
+}
+catch {}
+
+function getChangedVersion(groupNodes) {
+	if(!Object.keys(pack_map).length || !groupNodes)
+		return null;
+
+	let res = {};
+	for(let component_name in groupNodes) {
+		let data = groupNodes[component_name];
+
+		if(rpack_map[component_name]) {
+			let v = versionCompare(data.version, rpack_map[component_name].version);
+			res[component_name] = v;
+		}
+	}
+
+	return res;
+}
+
+const loadGraphData = app.loadGraphData;
+app.loadGraphData = async function () {
+	if(arguments.length == 0)
+		return await loadGraphData.apply(this, arguments);
+
+	let graphData = arguments[0];
+	let groupNodes = graphData.extra?.groupNodes;
+	let res = getChangedVersion(groupNodes);
+
+	if(res) {
+		let target_components = null;
+		switch(current_component_policy) {
+		case 'higher':
+			target_components = Object.keys(res).filter(key => res[key] == 1);
+			break;
+
+		case 'mine':
+			target_components = Object.keys(res);
+			break;
+
+		default:
+			// do nothing
+		}
+
+		if(target_components) {
+			for(let i in target_components) {
+				let component_name = target_components[i];
+				let component = rpack_map[component_name];
+				if(component && graphData.extra?.groupNodes) {
+					graphData.extra.groupNodes[component_name] = component;
+				}
+			}
+		}
+	}
+	else {
+		console.log('Empty components: policy ignored');
+	}
+
+	arguments[0] = graphData;
+	return await loadGraphData.apply(this, arguments);
+};
+
+export function set_component_policy(v) {
+	current_component_policy = v;
+}
+
+let graphToPrompt = app.graphToPrompt;
+app.graphToPrompt = async function () {
+	let p = await graphToPrompt.call(app);
+	try {
+		let groupNodes = p.workflow.extra?.groupNodes;
+		if(groupNodes) {
+			p.workflow.extra = { ... p.workflow.extra};
+
+			// get used group nodes
+			let used_group_nodes = new Set();
+			for(let node of p.workflow.nodes) {
+				if(node.type.startsWith('workflow/')) {
+					used_group_nodes.add(node.type.substring(9));
+				}
+			}
+
+			// remove unused group nodes
+			let new_groupNodes = {};
+			for (let key in p.workflow.extra.groupNodes) {
+				if (used_group_nodes.has(key)) {
+					new_groupNodes[key] = p.workflow.extra.groupNodes[key];
+				}
+			}
+			p.workflow.extra.groupNodes = new_groupNodes;
+		}
+	}
+	catch(e) {
+		console.log(`Failed to filtering group nodes: ${e}`);
+	}
+
+	return p;
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/custom-nodes-manager.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/custom-nodes-manager.js
new file mode 100644
index 0000000000000000000000000000000000000000..eccdd683998587394f083ef4eef0b8aa517e0ad3
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/custom-nodes-manager.js
@@ -0,0 +1,1381 @@
+import { app } from "../../scripts/app.js";
+import { $el } from "../../scripts/ui.js";
+import { 
+	manager_instance, rebootAPI, install_via_git_url, 
+	fetchData, md5, icons 
+} from  "./common.js";
+
+// https://cenfun.github.io/turbogrid/api.html
+import TG from "./turbogrid.esm.js";
+
+const pageCss = `
+.cn-manager {
+	--grid-font: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji";
+	z-index: 10001;
+	width: 80%;
+	height: 80%;
+	display: flex;
+	flex-direction: column;
+	gap: 10px;
+	color: var(--fg-color);
+	font-family: arial, sans-serif;
+}
+
+.cn-manager .cn-flex-auto {
+	flex: auto;
+}
+
+.cn-manager button {
+	font-size: 16px;
+	color: var(--input-text);
+    background-color: var(--comfy-input-bg);
+    border-radius: 8px;
+    border-color: var(--border-color);
+    border-style: solid;
+    margin: 0;
+	padding: 4px 8px;
+	min-width: 100px;
+}
+
+.cn-manager button:disabled,
+.cn-manager input:disabled,
+.cn-manager select:disabled {
+	color: gray;
+}
+
+.cn-manager button:disabled {
+	background-color: var(--comfy-input-bg);
+}
+
+.cn-manager .cn-manager-restart {
+	display: none;
+	background-color: #500000;
+	color: white;
+}
+
+.cn-manager-header {
+	display: flex;
+	flex-wrap: wrap;
+	gap: 5px;
+	align-items: center;
+	padding: 0 5px;
+}
+
+.cn-manager-header label {
+	display: flex;
+	gap: 5px;
+	align-items: center;
+}
+
+.cn-manager-filter {
+	height: 28px;
+	line-height: 28px;
+}
+
+.cn-manager-keywords {
+	height: 28px;
+	line-height: 28px;
+	padding: 0 5px 0 26px;
+	background-size: 16px;
+	background-position: 5px center;
+	background-repeat: no-repeat;
+	background-image: url("data:image/svg+xml;charset=utf8,${encodeURIComponent(icons.search.replace("currentColor", "#888"))}");
+}
+
+.cn-manager-status {
+	padding-left: 10px;
+}
+
+.cn-manager-grid {
+	flex: auto;
+	border: 1px solid var(--border-color);
+	overflow: hidden;
+}
+
+.cn-manager-selection {
+	display: flex;
+	flex-wrap: wrap;
+	gap: 10px;
+	align-items: center;
+}
+
+.cn-manager-message {
+	
+}
+
+.cn-manager-footer {
+	display: flex;
+	flex-wrap: wrap;
+	gap: 10px;
+	align-items: center;
+}
+
+.cn-manager-grid .tg-turbogrid {
+	font-family: var(--grid-font);
+	font-size: 15px;
+	background: var(--bg-color);
+}
+
+.cn-manager-grid .cn-node-name a {
+	color: skyblue;
+	text-decoration: none;
+	word-break: break-word;
+}
+
+.cn-manager-grid .cn-node-desc a {
+	color: #5555FF;
+    font-weight: bold;
+	text-decoration: none;
+}
+
+.cn-manager-grid .tg-cell a:hover {
+	text-decoration: underline;
+}
+
+.cn-manager-grid .cn-extensions-button,
+.cn-manager-grid .cn-conflicts-button {
+	display: inline-block;
+	width: 20px;
+	height: 20px;
+	color: green;
+	border: none;
+	padding: 0;
+	margin: 0;
+	background: none;
+	min-width: 20px;
+}
+
+.cn-manager-grid .cn-conflicts-button {
+	color: orange;
+}
+
+.cn-manager-grid .cn-extensions-list,
+.cn-manager-grid .cn-conflicts-list {
+	line-height: normal;
+	text-align: left;
+	max-height: 80%;
+	min-height: 200px;
+	min-width: 300px;
+	overflow-y: auto;
+	font-size: 12px;
+	border-radius: 5px;
+	padding: 10px;
+	filter: drop-shadow(2px 5px 5px rgb(0 0 0 / 30%));
+	white-space: normal;
+}
+
+.cn-manager-grid .cn-extensions-list {
+	border-color: var(--bg-color);
+}
+
+.cn-manager-grid .cn-conflicts-list {
+	background-color: #CCCC55;
+	color: #AA3333;
+}
+
+.cn-manager-grid .cn-extensions-list h3,
+.cn-manager-grid .cn-conflicts-list h3 {
+	margin: 0;
+	padding: 5px 0;
+	color: #000;
+}
+
+.cn-tag-list {
+	display: flex;
+	flex-wrap: wrap;
+	gap: 5px;
+	align-items: center;
+	margin-bottom: 5px;
+}
+
+.cn-tag-list > div {
+	background-color: var(--border-color);
+	border-radius: 5px;
+    padding: 0 5px;
+}
+
+.cn-install-buttons {
+	display: flex;
+	flex-direction: column;
+	gap: 3px;
+	padding: 3px;
+	align-items: center;
+    justify-content: center;
+    height: 100%;
+}
+
+.cn-selected-buttons {
+	display: flex;
+	gap: 5px;
+	align-items: center;
+	padding-right: 20px;
+}
+
+.cn-manager .cn-btn-enable {
+	background-color: blue;
+	color: white;
+}
+
+.cn-manager .cn-btn-disable {
+	background-color: MediumSlateBlue;
+	color: white;
+}
+
+.cn-manager .cn-btn-update {
+	background-color: blue;
+	color: white;
+}
+
+.cn-manager .cn-btn-try-update {
+	background-color: Gray;
+	color: white;
+}
+
+.cn-manager .cn-btn-try-fix {
+	background-color: #6495ED;
+	color: white;
+}
+
+.cn-manager .cn-btn-install {
+	background-color: black;
+	color: white;
+}
+
+.cn-manager .cn-btn-try-install {
+	background-color: Gray;
+	color: white;
+}
+
+.cn-manager .cn-btn-uninstall {
+	background-color: red;
+	color: white;
+}
+
+@keyframes cn-btn-loading-bg {
+    0% {
+        left: 0;
+    }
+    100% {
+        left: -105px;
+    }
+}
+
+.cn-manager button.cn-btn-loading {
+    position: relative;
+    overflow: hidden;
+    border-color: rgb(0 119 207 / 80%);
+	background-color: var(--comfy-input-bg);
+}
+
+.cn-manager button.cn-btn-loading::after {
+    position: absolute;
+    top: 0;
+    left: 0;
+    content: "";
+    width: 500px;
+    height: 100%;
+    background-image: repeating-linear-gradient(
+        -45deg,
+        rgb(0 119 207 / 30%),
+        rgb(0 119 207 / 30%) 10px,
+        transparent 10px,
+        transparent 15px
+    );
+    animation: cn-btn-loading-bg 2s linear infinite;
+}
+
+.cn-manager-light .cn-node-name a {
+	color: blue;
+}
+
+.cn-manager-light .cm-warn-note {
+	background-color: #ccc !important;
+}
+
+.cn-manager-light .cn-btn-install {
+	background-color: #333;
+}
+
+`;
+
+const pageHtml = `
+<div class="cn-manager-header">
+	<label>Filter
+		<select class="cn-manager-filter"></select>
+	</label>
+	<input class="cn-manager-keywords" type="search" placeholder="Search" />
+	<div class="cn-manager-status"></div>
+	<div class="cn-flex-auto"></div>
+	<div class="cn-manager-channel"></div>
+</div>
+<div class="cn-manager-grid"></div>
+<div class="cn-manager-selection"></div>
+<div class="cn-manager-message"></div>
+<div class="cn-manager-footer">
+	<button class="cn-manager-close">Close</button>
+	<button class="cn-manager-restart">Restart</button>
+	<div class="cn-flex-auto"></div>
+	<button class="cn-manager-check-update">Check Update</button>
+	<button class="cn-manager-check-missing">Check Missing</button>
+	<button class="cn-manager-install-url">Install via Git URL</button>
+</div>
+`;
+
+const ShowMode = {
+	NORMAL: "Normal",
+	UPDATE: "Update",
+	MISSING: "Missing",
+	ALTERNATIVES: "Alternatives"
+};
+
+export class CustomNodesManager {
+	static instance = null;
+	static ShowMode = ShowMode;
+
+	constructor(app, manager_dialog) {
+		this.app = app;
+		this.manager_dialog = manager_dialog;
+		this.id = "cn-manager";
+
+		app.registerExtension({
+			name: "Comfy.CustomNodesManager",
+			afterConfigureGraph: (missingNodeTypes) => {
+				const item = this.getFilterItem(ShowMode.MISSING);
+				if (item) {
+					item.hasData = false;
+					item.hashMap = null;
+				}
+			}
+		});
+
+		this.filter = '';
+		this.keywords = '';
+		this.restartMap = {};
+
+		this.init();
+	}
+
+	init() {
+
+		if (!document.querySelector(`style[context="${this.id}"]`)) {
+			const $style = document.createElement("style");
+			$style.setAttribute("context", this.id);
+			$style.innerHTML = pageCss;
+			document.head.appendChild($style);
+		}
+
+		this.element = $el("div", {
+			parent: document.body,
+			className: "comfy-modal cn-manager"
+		});
+		this.element.innerHTML = pageHtml;
+		this.initFilter();
+		this.bindEvents();
+		this.initGrid();
+	}
+
+	initFilter() {
+		const $filter  = this.element.querySelector(".cn-manager-filter");
+		const filterList = [{
+			label: "All",
+			value: "",
+			hasData: true
+		}, {
+			label: "Installed",
+			value: "True",
+			hasData: true
+		}, {
+			label: "Disabled",
+			value: "Disabled",
+			hasData: true
+		}, {
+			label: "Import Failed",
+			value: "Fail",
+			hasData: true
+		}, {
+			label: "Not Installed",
+			value: "False",
+			hasData: true
+		}, {
+			label: "Unknown",
+			value: "None",
+			hasData: true
+		}, {
+			label: "Update",
+			value: ShowMode.UPDATE,
+			hasData: false
+		}, {
+			label: "Missing",
+			value: ShowMode.MISSING,
+			hasData: false
+		}, {
+			label: "Alternatives of A1111",
+			value: ShowMode.ALTERNATIVES,
+			hasData: false
+		}];
+		this.filterList = filterList;
+		$filter.innerHTML = filterList.map(item => {
+			return `<option value="${item.value}">${item.label}</option>`
+		}).join("");
+	}
+
+	getFilterItem(filter) {
+		return this.filterList.find(it => it.value === filter)
+	}
+
+	getInstallButtons(installed, title) {
+
+		const buttons = {
+			"enable": {
+				label: "Enable",
+				mode: "toggle_active"
+			},
+			"disable": {
+				label: "Disable",
+				mode: "toggle_active"
+			},
+
+			"update": {
+				label: "Update",
+				mode: "update"
+			},
+			"try-update": {
+				label: "Try update",
+				mode: "update"
+			},
+
+			"try-fix": {
+				label: "Try fix",
+				mode: "fix"
+			},
+
+			"install": {
+				label: "Install",
+				mode: "install"
+			},
+			"try-install": {
+				label: "Try install",
+				mode: "install"
+			},
+			"uninstall": {
+				label: "Uninstall",
+				mode: "uninstall"
+			}
+		}
+
+		const installGroups = {
+			"Disabled": ["enable", "uninstall"],
+			"Update": ["update", "disable", "uninstall"],
+			"Fail": ["try-fix", "uninstall"],
+			"True": ["try-update", "disable", "uninstall"],
+			"False": ["install"],
+			'None': ["try-install"]
+		}
+
+		if (!manager_instance.update_check_checkbox.checked) {
+			installGroups.True = installGroups.True.filter(it => it !== "try-update");
+		}
+
+		if (title === "ComfyUI-Manager") {
+			installGroups.True = installGroups.True.filter(it => it !== "disable");
+		}
+
+		const list = installGroups[installed];
+		if (!list) {
+			return "";
+		}
+
+		return list.map(id => {
+			const bt = buttons[id];
+			return `<button class="cn-btn-${id}" group="${installed}" mode="${bt.mode}">${bt.label}</button>`;
+		}).join("");
+	}
+
+	getButton(target) {
+		if(!target) {
+			return;
+		}
+		const mode = target.getAttribute("mode");
+		if (!mode) {
+			return;
+		}
+		const group = target.getAttribute("group");
+		if (!group) {
+			return;
+		}
+		return {
+			group,
+			mode,
+			target,
+			label: target.innerText
+		}
+	}
+
+	bindEvents() {
+		const eventsMap = {
+			".cn-manager-filter": {
+				change: (e) => {
+
+					if (this.grid) {
+						this.grid.selectAll(false);
+					}
+
+					const value = e.target.value
+					this.filter = value;
+					const item = this.getFilterItem(value);
+					if (item && !item.hasData) {
+						this.loadData(value);
+						return;
+					}
+					this.updateGrid();
+				}
+			},
+
+			".cn-manager-keywords": {
+				input: (e) => {
+					const keywords = `${e.target.value}`.trim();
+					if (keywords !== this.keywords) {
+						this.keywords = keywords;
+						this.updateGrid();
+					}
+				},
+				focus: (e) => e.target.select()
+			},
+
+			".cn-manager-selection": {
+				click: (e) => {
+					const btn = this.getButton(e.target);
+					if (btn) {
+						const nodes = this.selectedMap[btn.group];
+						if (nodes) {
+							this.installNodes(nodes, btn);
+						}
+					}
+				}
+			},
+
+			".cn-manager-close": {
+				click: (e) => this.close()
+			},
+
+			".cn-manager-restart": {
+				click: () => {
+					if(rebootAPI()) {
+						this.close();
+						this.manager_dialog.close();
+					}
+				}
+			},
+
+			".cn-manager-check-update": {
+				click: (e) => {
+					e.target.classList.add("cn-btn-loading");
+					this.setFilter(ShowMode.UPDATE);
+					this.loadData(ShowMode.UPDATE);
+				}
+			},
+
+			".cn-manager-check-missing": {
+				click: (e) => {
+					e.target.classList.add("cn-btn-loading");
+					this.setFilter(ShowMode.MISSING);
+					this.loadData(ShowMode.MISSING);
+				}
+			},
+
+			".cn-manager-install-url": {
+				click: (e) => {
+					const url = prompt("Please enter the URL of the Git repository to install", "");
+					if (url !== null) {
+						install_via_git_url(url, this.manager_dialog);
+					}
+				}
+			}
+		};
+		Object.keys(eventsMap).forEach(selector => {
+			const target = this.element.querySelector(selector);
+			if (target) {
+				const events = eventsMap[selector];
+				if (events) {
+					Object.keys(events).forEach(type => {
+						target.addEventListener(type, events[type]);
+					});
+				}
+			}
+		});
+	}
+
+	// ===========================================================================================
+
+	initGrid() {
+		const container = this.element.querySelector(".cn-manager-grid");
+		const grid = new TG.Grid(container);
+		this.grid = grid;
+		
+		let prevViewRowsLength = -1;
+		grid.bind('onUpdated', (e, d) => {
+
+			const viewRows = grid.viewRows;
+			if (viewRows.length !== prevViewRowsLength) {
+				prevViewRowsLength = viewRows.length;
+				this.showStatus(`${prevViewRowsLength.toLocaleString()} custom nodes`);
+			}
+
+        });
+
+        grid.bind('onSelectChanged', (e, changes) => {
+            this.renderSelected();
+        });
+
+		grid.bind('onClick', (e, d) => {
+			const btn = this.getButton(d.e.target);
+			if (btn) {
+				this.installNodes([d.rowItem.hash], btn, d.rowItem.title);
+			}
+        });
+
+		grid.setOption({
+			theme: 'dark',
+			selectVisible: true,
+			selectMultiple: true,
+			selectAllVisible: true,
+
+			textSelectable: true,
+			scrollbarRound: true,
+
+			frozenColumn: 1,
+			rowNotFound: "No Results",
+
+			rowHeight: 40,
+			bindWindowResize: true,
+			bindContainerResize: true,
+
+			cellResizeObserver: (rowItem, columnItem) => {
+				const autoHeightColumns = ['title', 'installed', 'description', "alternatives"];
+				return autoHeightColumns.includes(columnItem.id)
+			},
+
+			// updateGrid handler for filter and keywords
+			rowFilter: (rowItem) => {
+
+				const searchableColumns = ["title", "author", "description"];
+				if (this.hasAlternatives()) {
+					searchableColumns.push("alternatives");
+				}
+
+				let shouldShown = grid.highlightKeywordsFilter(rowItem, searchableColumns, this.keywords);
+
+				if (shouldShown) {
+					if(this.filter && rowItem.filterTypes) {
+						shouldShown = rowItem.filterTypes.includes(this.filter);
+					}
+				}
+
+				return shouldShown;
+			}
+		});
+
+	}
+
+	hasAlternatives() {
+		return this.filter === ShowMode.ALTERNATIVES
+	}
+
+	renderGrid() {
+
+		// update theme
+		const colorPalette = this.app.ui.settings.settingsValues['Comfy.ColorPalette'];
+		Array.from(this.element.classList).forEach(cn => {
+			if (cn.startsWith("cn-manager-")) {
+				this.element.classList.remove(cn);
+			}
+		});
+		this.element.classList.add(`cn-manager-${colorPalette}`);
+
+		const options = {
+			theme: colorPalette === "light" ? "" : "dark"
+		};
+
+		const rows = this.custom_nodes || [];
+		rows.forEach((item, i) => {
+			item.id = i + 1;
+			const nodeKey = item.files[0];
+			const extensionInfo = this.extension_mappings[nodeKey];
+			if(extensionInfo) {
+				const { extensions, conflicts } = extensionInfo;
+				if (extensions.length) {
+					item.extensions = extensions.length;
+					item.extensionsList = extensions;
+				}
+				if (conflicts) {
+					item.conflicts = conflicts.length;
+					item.conflictsList = conflicts;
+				}
+			}
+		});
+
+		const columns = [{
+			id: 'id',
+			name: 'ID',
+			width: 50,
+			align: 'center'
+		}, {
+			id: 'title',
+			name: 'Title',
+			width: 200,
+			minWidth: 100,
+			maxWidth: 500,
+			classMap: 'cn-node-name',
+			formatter: (title, rowItem, columnItem) => {
+				return `${rowItem.installed === 'Fail' ? '<font color="red"><B>(IMPORT FAILED)</B></font>' : ''}
+					<a href=${rowItem.reference} target="_blank"><b>${title}</b></a>`;
+			}
+		}, {
+			id: 'installed',
+			name: 'Install',
+			width: 130,
+			minWidth: 110,
+			maxWidth: 200,
+			sortable: false,
+			align: 'center',
+			formatter: (installed, rowItem, columnItem) => {
+				if (rowItem.restart) {
+					return `<font color="red">Restart Required</span>`;
+				}
+				const buttons = this.getInstallButtons(installed, rowItem.title);
+				return `<div class="cn-install-buttons">${buttons}</div>`;
+			}
+		}, {
+			id: "alternatives",
+			name: "Alternatives",
+			width: 400,
+			maxWidth: 5000,
+			invisible: !this.hasAlternatives(),
+			classMap: 'cn-node-desc'
+		}, {
+			id: 'description',
+			name: 'Description',
+			width: 400,
+			maxWidth: 5000,
+			classMap: 'cn-node-desc'
+		}, {
+			id: "extensions",
+			name: "Extensions",
+			width: 80,
+			align: 'center',
+			formatter: (extensions, rowItem, columnItem) => {
+				const extensionsList = rowItem.extensionsList;
+				if (!extensionsList) {
+					return;
+				}
+				const list = [];
+				const eId = `popover_extensions_${columnItem.id}_${rowItem.tg_index}`; 
+				list.push(`<button popovertarget="${eId}" title="${extensionsList.length} Extension Nodes" class="cn-extensions-button">${icons.extensions}</button>`)
+				list.push(`<div popover id="${eId}" class="cn-extensions-list">`)
+				list.push(`<h3>【${rowItem.title}】Extension Nodes (${extensionsList.length})</h3>`);
+				extensionsList.forEach(en => {
+					list.push(`<li>${en}</li>`);
+				})
+				list.push("</div>");
+				return list.join("");
+			}
+		}, {
+			id: "conflicts",
+			name: "Conflicts",
+			width: 80,
+			align: 'center',
+			formatter: (conflicts, rowItem, columnItem) => {
+				const conflictsList = rowItem.conflictsList;
+				if (!conflictsList) {
+					return;
+				}
+				const list = [];
+				const cId = `popover_conflicts_${columnItem.id}_${rowItem.tg_index}`; 
+				list.push(`<button popovertarget="${cId}" title="${conflictsList.length} Conflicted Nodes" class="cn-conflicts-button">${icons.conflicts}</button>`)
+				list.push(`<div popover id="${cId}" class="cn-conflicts-list">`)
+				list.push(`<h3>【${rowItem.title}】Conflicted Nodes (${conflictsList.length})</h3>`);
+				conflictsList.forEach(en => {
+					let [node_name, extension_name] = en;
+					extension_name = extension_name.split('/').filter(it => it).pop();
+					if(extension_name.endsWith('.git')) {
+						extension_name = extension_name.slice(0, -4);
+					}
+					list.push(`<li><B>${node_name}</B> [${extension_name}]</li>`);
+				})
+				list.push("</div>");
+				return list.join("");
+			}
+		}, {
+			id: 'author',
+			name: 'Author',
+			width: 120,
+			classMap: "cn-node-author", 
+			formatter: (author, rowItem, columnItem) => {
+				if (rowItem.trust) {
+					return `<span title="This author has been active for more than six months in GitHub">✅ ${author}</span>`;
+				}
+				return author;
+			}
+		}, {
+			id: 'stars',
+			name: '★',
+			align: 'center',
+			classMap: "cn-node-stars",
+			formatter: (stars) => {
+				if (stars < 0) {
+					return 'N/A';
+				}
+				if (typeof stars === 'number') {
+					return stars.toLocaleString();
+				}
+				return stars;
+			}
+		}, {
+			id: 'last_update',
+			name: 'Last Update',
+			align: 'center',
+			type: 'date',
+			width: 100,
+			classMap: "cn-node-last-update",
+			formatter: (last_update) => {
+				if (last_update < 0) {
+					return 'N/A';
+				}
+				return `${last_update}`.split(' ')[0];
+			}
+		}];
+
+		this.grid.setData({
+			options,
+			rows,
+			columns
+		});
+
+		this.grid.render();
+		
+	}
+
+	updateGrid() {
+		if (this.grid) {
+			this.grid.update();
+			if (this.hasAlternatives()) {
+				this.grid.showColumn("alternatives");
+			} else {
+				this.grid.hideColumn("alternatives");
+			}
+		}
+	}
+
+	// ===========================================================================================
+
+	renderSelected() {
+		const selectedList = this.grid.getSelectedRows();
+		if (!selectedList.length) {
+			this.showSelection("");
+			return;
+		}
+
+		const selectedMap = {};
+		selectedList.forEach(item => {
+			let type = item.installed;
+			if (item.restart) {
+				type = "Restart Required";
+			}
+			if (selectedMap[type]) {
+				selectedMap[type].push(item.hash);
+			} else {
+				selectedMap[type] = [item.hash];
+			}
+		});
+
+		this.selectedMap = selectedMap;
+
+		const list = [];
+		Object.keys(selectedMap).forEach(v => {
+			const filterItem = this.getFilterItem(v);
+			list.push(`<div class="cn-selected-buttons">
+				<span>Selected <b>${selectedMap[v].length}</b> ${filterItem ? filterItem.label : v}</span>
+				${this.grid.hasMask ? "" : this.getInstallButtons(v)}
+			</div>`);
+		});
+
+		this.showSelection(list.join(""));
+	}
+
+	focusInstall(item, mode) {
+		const cellNode = this.grid.getCellNode(item, "installed");
+		if (cellNode) {
+			const cellBtn = cellNode.querySelector(`button[mode="${mode}"]`);
+			if (cellBtn) {
+				cellBtn.classList.add("cn-btn-loading");
+				return true
+			}
+		}
+	}
+
+	async installNodes(list, btn, title) {
+		
+		const { target, label, mode} = btn;
+
+		if(mode === "uninstall") {
+			title = title || `${list.length} custom nodes`;
+			if (!confirm(`Are you sure uninstall ${title}?`)) {
+				return;
+			}
+		}
+
+		target.classList.add("cn-btn-loading");
+		this.showLoading();
+		this.showError("");
+
+		let needRestart = false;
+		let errorMsg = "";
+		for (const hash of list) {
+
+			const item = this.grid.getRowItemBy("hash", hash);
+			if (!item) {
+				errorMsg = `Not found custom node: ${hash}`;
+				break;
+			}
+
+			this.grid.scrollRowIntoView(item);
+
+			if (!this.focusInstall(item, mode)) {
+				this.grid.onNextUpdated(() => {
+					this.focusInstall(item, mode);
+				});
+			}
+
+			this.showStatus(`${label} ${item.title} ...`);
+
+			const data = item.originalData;
+			const res = await fetchData(`/customnode/${mode}`, {
+				method: 'POST',
+				headers: { 'Content-Type': 'application/json' },
+				body: JSON.stringify(data)
+			});
+
+			if (res.error) {
+
+				errorMsg = `${item.title} ${mode} failed: `;
+				if(res.status == 403) {
+					errorMsg += `This action is not allowed with this security level configuration.`;
+				} else if(res.status == 404) {
+					errorMsg += `With the current security level configuration, only custom nodes from the <B>"default channel"</B> can be installed.`;
+				} else {
+					errorMsg += res.error.message;
+				}
+
+				break;
+			}
+
+			needRestart = true;
+
+			this.grid.setRowSelected(item, false);
+			item.restart = true;
+			this.restartMap[item.hash] = true;
+			this.grid.updateCell(item, "installed");
+
+			//console.log(res.data);
+
+		}
+
+		this.hideLoading();
+		target.classList.remove("cn-btn-loading");
+
+		if (errorMsg) {
+			this.showError(errorMsg);
+		} else {
+			this.showStatus(`${label} ${list.length} custom node(s) successfully`);
+		}
+
+		if (needRestart) {
+			this.showRestart();
+			this.showMessage(`To apply the installed/updated/disabled/enabled custom node, please restart ComfyUI. And refresh browser.`, "red")
+		}
+
+	}
+
+	// ===========================================================================================
+
+	async getExtensionMappings() {
+		const mode = manager_instance.datasrc_combo.value;
+		this.showStatus(`Loading extension mappings (${mode}) ...`);
+		const res = await fetchData(`/customnode/getmappings?mode=${mode}`);
+		if (res.error) {
+			console.log(res.error);
+			return {}
+		}
+	
+		const data = res.data;
+
+		const extension_mappings = {};
+		const conflicts_map = {};
+		Object.keys(data).forEach(k => {
+			const [extensions, metadata] = data[k];
+			extension_mappings[k] = {
+				extensions,
+				metadata
+			}
+			extensions.forEach(node => {
+				let l = conflicts_map[node];
+				if(!l) {
+					l = [];
+					conflicts_map[node] = l;
+				}
+				l.push(k);
+			})
+		})
+
+		Object.keys(conflicts_map).forEach(node => {
+			const list = conflicts_map[node];
+			if(list.length > 1) {
+				list.forEach(k => {
+					const item = extension_mappings[k];
+					if(!item) {
+						console.log(`not found ${k}`)
+						return;
+					}
+
+					if (!item.conflicts) {
+						item.conflicts = [];
+					}
+					list.forEach(key => {
+						if(k !== key) {
+							item.conflicts.push([node, key])
+						}
+					})
+				})
+			}
+		})
+	
+		return extension_mappings;
+	}
+
+	async getMissingNodes() {
+		const mode = manager_instance.datasrc_combo.value;
+		this.showStatus(`Loading missing nodes (${mode}) ...`);
+		const res = await fetchData(`/customnode/getmappings?mode=${mode}`);
+		if (res.error) {
+			this.showError(`Failed to get custom node mappings: ${res.error}`);
+			return;
+		}
+
+		const mappings = res.data;
+
+		// build regex->url map
+		const regex_to_url = [];
+		this.custom_nodes.forEach(node => {
+			if(node.nodename_pattern) {
+				regex_to_url.push({
+					regex: new RegExp(node.nodename_pattern), 
+					url: node.files[0]
+				});
+			}
+		});
+
+		// build name->url map
+		const name_to_urls = {};
+		for (const url in mappings) {
+			const names = mappings[url];
+
+			for(const name in names[0]) {
+				let v = name_to_urls[names[0][name]];
+				if(v == undefined) {
+					v = [];
+					name_to_urls[names[0][name]] = v;
+				}
+				v.push(url);
+			}
+		}
+
+		const registered_nodes = new Set();
+		for (let i in LiteGraph.registered_node_types) {
+			registered_nodes.add(LiteGraph.registered_node_types[i].type);
+		}
+
+		const missing_nodes = new Set();
+		const workflow = app.graph.serialize();
+		const group_nodes = workflow.extra && workflow.extra.groupNodes ? workflow.extra.groupNodes : [];
+		let nodes = workflow.nodes;
+
+		for (let i in group_nodes) {
+			let group_node = group_nodes[i];
+			nodes = nodes.concat(group_node.nodes);
+		}
+
+		for (let i in nodes) {
+			const node_type = nodes[i].type;
+			if(node_type.startsWith('workflow/'))
+				continue;
+
+			if (!registered_nodes.has(node_type)) {
+				const urls = name_to_urls[node_type.trim()];
+				if(urls)
+					urls.forEach(url => {
+						missing_nodes.add(url);
+					});
+				else {
+					for(let j in regex_to_url) {
+						if(regex_to_url[j].regex.test(node_type)) {
+							missing_nodes.add(regex_to_url[j].url);
+						}
+					}
+				}
+			}
+		}
+
+		const resUnresolved = await fetchData(`/component/get_unresolved`);
+		const unresolved = resUnresolved.data;
+		if (unresolved && unresolved.nodes) {
+			unresolved.nodes.forEach(node_type => {
+				const url = name_to_urls[node_type];
+				if(url) {
+					missing_nodes.add(url);
+				}
+			});
+		}
+
+		const hashMap = {};
+		this.custom_nodes.forEach(item => {
+			if (item.files.some(file => missing_nodes.has(file))) {
+				hashMap[item.hash] = true;
+			}
+		});
+		return hashMap;
+	}
+
+	async getAlternatives() {
+
+		const mode = manager_instance.datasrc_combo.value;
+		this.showStatus(`Loading alternatives (${mode}) ...`);
+		const res = await fetchData(`/customnode/alternatives?mode=${mode}`);
+		if (res.error) {
+			this.showError(`Failed to get alternatives: ${res.error}`);
+			return [];
+		}
+
+		const hashMap = {};
+		const { items } = res.data;
+
+		items.forEach(item => {
+
+			const custom_node = this.custom_nodes.find(node => node.files.find(file => file === item.id));
+			if (!custom_node) {
+				console.log(`Not found custom node: ${item.id}`);
+				return;
+			}
+
+			const tags = `${item.tags}`.split(",").map(tag => {
+				return `<div>${tag.trim()}</div>`;
+			}).join("")
+
+			hashMap[custom_node.hash] = {
+				alternatives: `<div class="cn-tag-list">${tags}</div> ${item.description}`
+			}
+
+		});
+	
+		return hashMap
+	}
+
+	async loadData(show_mode = ShowMode.NORMAL) {
+		this.show_mode = show_mode;
+		console.log("Show mode:", show_mode);
+
+		this.showLoading();
+
+		this.extension_mappings = await this.getExtensionMappings();
+
+		const mode = manager_instance.datasrc_combo.value;
+		this.showStatus(`Loading custom nodes (${mode}) ...`);
+
+		const skip_update = this.show_mode === ShowMode.UPDATE ? "" : "&skip_update=true";
+		const res = await fetchData(`/customnode/getlist?mode=${mode}${skip_update}`);
+		if (res.error) {
+			this.showError("Failed to get custom node list.");
+			this.hideLoading();
+			return
+		}
+		
+		const { channel, custom_nodes} = res.data;
+		this.channel = channel;
+		this.custom_nodes = custom_nodes;
+
+		if(this.channel !== 'default') {
+			this.element.querySelector(".cn-manager-channel").innerHTML = `Channel: ${this.channel} (Incomplete list)`;
+		}
+
+		for (const item of custom_nodes) {
+			item.originalData = JSON.parse(JSON.stringify(item));
+			const message = item.title + item.files[0];
+			item.hash = md5(message);
+		}
+
+		const filterItem = this.getFilterItem(this.show_mode);
+		if(filterItem) {
+			let hashMap;
+			if(this.show_mode == ShowMode.UPDATE) {
+				hashMap = {};
+				custom_nodes.forEach(it => {
+					if (it.installed === "Update") {
+						hashMap[it.hash] = true;
+					}
+				});
+			} else if(this.show_mode == ShowMode.MISSING) {
+				hashMap = await this.getMissingNodes();
+			} else if(this.show_mode == ShowMode.ALTERNATIVES) {
+				hashMap = await this.getAlternatives();
+			}
+			filterItem.hashMap = hashMap;
+			filterItem.hasData = true;
+		}
+
+		custom_nodes.forEach(nodeItem => {
+			if (this.restartMap[nodeItem.hash]) {
+				nodeItem.restart = true;
+			}
+			const filterTypes = new Set();
+			this.filterList.forEach(filterItem => {
+				const { value, hashMap } = filterItem;
+				if (hashMap) {
+					const hashData = hashMap[nodeItem.hash]
+					if (hashData) {
+						filterTypes.add(value);
+						if (value === ShowMode.UPDATE) {
+							nodeItem.installed = "Update";
+						}
+						if (typeof hashData === "object") {
+							Object.assign(nodeItem, hashData);
+						}
+					}
+				} else {
+					if (nodeItem.installed === value) {
+						filterTypes.add(value);
+					}
+					const map = {
+						"Update": "True",
+						"Disabled": "True",
+						"Fail": "True",
+						"None": "False"
+					}
+					if (map[nodeItem.installed]) {
+						filterTypes.add(map[nodeItem.installed]);
+					}
+				}
+			});
+			nodeItem.filterTypes = Array.from(filterTypes);
+		});
+
+		this.renderGrid();
+
+		this.hideLoading();
+		
+	}
+
+	// ===========================================================================================
+
+	showSelection(msg) {
+		this.element.querySelector(".cn-manager-selection").innerHTML = msg;
+	}
+
+	showError(err) {
+		this.showMessage(err, "red");
+	}
+
+	showMessage(msg, color) {
+		if (color) {
+			msg = `<font color="${color}">${msg}</font>`;
+		}
+		this.element.querySelector(".cn-manager-message").innerHTML = msg;
+	}
+
+	showStatus(msg, color) {
+		if (color) {
+			msg = `<font color="${color}">${msg}</font>`;
+		}
+		this.element.querySelector(".cn-manager-status").innerHTML = msg;
+	}
+
+	showLoading() {
+		this.setDisabled(true);
+		if (this.grid) {
+			this.grid.showLoading();
+			this.grid.showMask({
+				opacity: 0.05
+			});
+		}
+	}
+
+	hideLoading() {
+		this.setDisabled(false);
+		if (this.grid) {
+			this.grid.hideLoading();
+			this.grid.hideMask();
+		}
+	}
+
+	setDisabled(disabled) {
+
+		const $close = this.element.querySelector(".cn-manager-close");
+		const $restart = this.element.querySelector(".cn-manager-restart");
+
+		const list = [
+			".cn-manager-header input",
+			".cn-manager-header select",
+			".cn-manager-footer button",
+			".cn-manager-selection button"
+		].map(s => {
+			return Array.from(this.element.querySelectorAll(s));
+		})
+		.flat()
+		.filter(it => {
+			return it !== $close && it !== $restart;
+		});
+		
+		list.forEach($elem => {
+			if (disabled) {
+				$elem.setAttribute("disabled", "disabled");
+			} else {
+				$elem.removeAttribute("disabled");
+			}
+		});
+
+		Array.from(this.element.querySelectorAll(".cn-btn-loading")).forEach($elem => {
+			$elem.classList.remove("cn-btn-loading");
+		});
+
+	}
+
+	showRestart() {
+		this.element.querySelector(".cn-manager-restart").style.display = "block";
+	}
+
+	setFilter(filterValue) {
+		let filter = "";
+		const filterItem = this.getFilterItem(filterValue);
+		if(filterItem) {
+			filter = filterItem.value;
+		}
+		this.filter = filter;
+		this.element.querySelector(".cn-manager-filter").value = filter;
+	}
+
+	setKeywords(keywords = "") {
+		this.keywords = keywords;
+		this.element.querySelector(".cn-manager-keywords").value = keywords;
+	}
+
+	show(show_mode) {
+		this.element.style.display = "flex";
+		this.setFilter(show_mode);
+		this.setKeywords("");
+		this.showSelection("");
+		this.showMessage("");
+		this.loadData(show_mode);
+	}
+
+	close() {
+		this.element.style.display = "none";
+	}
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/model-manager.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/model-manager.js
new file mode 100644
index 0000000000000000000000000000000000000000..d92b46d05391b10c015f72fe9d5d160e8047a4ff
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/model-manager.js
@@ -0,0 +1,891 @@
+import { $el } from "../../scripts/ui.js";
+import { 
+	manager_instance, rebootAPI, 
+	fetchData, md5, icons 
+} from  "./common.js";
+
+// https://cenfun.github.io/turbogrid/api.html
+import TG from "./turbogrid.esm.js";
+
+const pageCss = `
+.cmm-manager {
+	--grid-font: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji";
+	z-index: 10001;
+	width: 80%;
+	height: 80%;
+	display: flex;
+	flex-direction: column;
+	gap: 10px;
+	color: var(--fg-color);
+	font-family: arial, sans-serif;
+}
+
+.cmm-manager .cmm-flex-auto {
+	flex: auto;
+}
+
+.cmm-manager button {
+	font-size: 16px;
+	color: var(--input-text);
+    background-color: var(--comfy-input-bg);
+    border-radius: 8px;
+    border-color: var(--border-color);
+    border-style: solid;
+    margin: 0;
+	padding: 4px 8px;
+	min-width: 100px;
+}
+
+.cmm-manager button:disabled,
+.cmm-manager input:disabled,
+.cmm-manager select:disabled {
+	color: gray;
+}
+
+.cmm-manager button:disabled {
+	background-color: var(--comfy-input-bg);
+}
+
+.cmm-manager-header {
+	display: flex;
+	flex-wrap: wrap;
+	gap: 5px;
+	align-items: center;
+	padding: 0 5px;
+}
+
+.cmm-manager-header label {
+	display: flex;
+	gap: 5px;
+	align-items: center;
+}
+
+.cmm-manager-type,
+.cmm-manager-base,
+.cmm-manager-filter {
+	height: 28px;
+	line-height: 28px;
+}
+
+.cmm-manager-keywords {
+	height: 28px;
+	line-height: 28px;
+	padding: 0 5px 0 26px;
+	background-size: 16px;
+	background-position: 5px center;
+	background-repeat: no-repeat;
+	background-image: url("data:image/svg+xml;charset=utf8,${encodeURIComponent(icons.search.replace("currentColor", "#888"))}");
+}
+
+.cmm-manager-status {
+	padding-left: 10px;
+}
+
+.cmm-manager-grid {
+	flex: auto;
+	border: 1px solid var(--border-color);
+	overflow: hidden;
+}
+
+.cmm-manager-selection {
+	display: flex;
+	flex-wrap: wrap;
+	gap: 10px;
+	align-items: center;
+}
+
+.cmm-manager-message {
+	
+}
+
+.cmm-manager-footer {
+	display: flex;
+	flex-wrap: wrap;
+	gap: 10px;
+	align-items: center;
+}
+
+.cmm-manager-grid .tg-turbogrid {
+	font-family: var(--grid-font);
+	font-size: 15px;
+	background: var(--bg-color);
+}
+
+.cmm-manager-grid .cmm-node-name a {
+	color: skyblue;
+	text-decoration: none;
+	word-break: break-word;
+}
+
+.cmm-manager-grid .cmm-node-desc a {
+	color: #5555FF;
+    font-weight: bold;
+	text-decoration: none;
+}
+
+.cmm-manager-grid .tg-cell a:hover {
+	text-decoration: underline;
+}
+
+.cmm-icon-passed {
+	width: 20px;
+	height: 20px;
+	position: absolute;
+	left: calc(50% - 10px);
+	top: calc(50% - 10px);
+}
+
+.cmm-manager .cmm-btn-enable {
+	background-color: blue;
+	color: white;
+}
+
+.cmm-manager .cmm-btn-disable {
+	background-color: MediumSlateBlue;
+	color: white;
+}
+
+.cmm-manager .cmm-btn-install {
+	background-color: black;
+	color: white;
+}
+
+.cmm-btn-download {
+	width: 18px;
+	height: 18px;
+	position: absolute;
+	left: calc(50% - 10px);
+	top: calc(50% - 10px);
+	cursor: pointer;
+	opacity: 0.8;
+	color: #fff;
+}
+
+.cmm-btn-download:hover {
+	opacity: 1;
+}
+
+.cmm-manager-light .cmm-btn-download {
+	color: #000;
+}
+
+@keyframes cmm-btn-loading-bg {
+    0% {
+        left: 0;
+    }
+    100% {
+        left: -105px;
+    }
+}
+
+.cmm-manager button.cmm-btn-loading {
+    position: relative;
+    overflow: hidden;
+    border-color: rgb(0 119 207 / 80%);
+	background-color: var(--comfy-input-bg);
+}
+
+.cmm-manager button.cmm-btn-loading::after {
+    position: absolute;
+    top: 0;
+    left: 0;
+    content: "";
+    width: 500px;
+    height: 100%;
+    background-image: repeating-linear-gradient(
+        -45deg,
+        rgb(0 119 207 / 30%),
+        rgb(0 119 207 / 30%) 10px,
+        transparent 10px,
+        transparent 15px
+    );
+    animation: cmm-btn-loading-bg 2s linear infinite;
+}
+
+.cmm-manager-light .cmm-node-name a {
+	color: blue;
+}
+
+.cmm-manager-light .cm-warn-note {
+	background-color: #ccc !important;
+}
+
+.cmm-manager-light .cmm-btn-install {
+	background-color: #333;
+}
+
+`;
+
+const pageHtml = `
+<div class="cmm-manager-header">
+	<label>Filter
+		<select class="cmm-manager-filter"></select>
+	</label>
+	<label>Type
+		<select class="cmm-manager-type"></select>
+	</label>
+	<label>Base
+		<select class="cmm-manager-base"></select>
+	</label>
+	<input class="cmm-manager-keywords" type="search" placeholder="Search" />
+	<div class="cmm-manager-status"></div>
+	<div class="cmm-flex-auto"></div>
+</div>
+<div class="cmm-manager-grid"></div>
+<div class="cmm-manager-selection"></div>
+<div class="cmm-manager-message"></div>
+<div class="cmm-manager-footer">
+	<button class="cmm-manager-close">Close</button>
+	<div class="cmm-flex-auto"></div>
+</div>
+`;
+
+export class ModelManager {
+	static instance = null;
+
+	constructor(app, manager_dialog) {
+		this.app = app;
+		this.manager_dialog = manager_dialog;
+		this.id = "cmm-manager";
+
+		this.filter = '';
+		this.type = '';
+		this.base = '';
+		this.keywords = '';
+
+		this.init();
+	}
+
+	init() {
+
+		if (!document.querySelector(`style[context="${this.id}"]`)) {
+			const $style = document.createElement("style");
+			$style.setAttribute("context", this.id);
+			$style.innerHTML = pageCss;
+			document.head.appendChild($style);
+		}
+
+		this.element = $el("div", {
+			parent: document.body,
+			className: "comfy-modal cmm-manager"
+		});
+		this.element.innerHTML = pageHtml;
+		this.initFilter();
+		this.bindEvents();
+		this.initGrid();
+	}
+
+	initFilter() {
+		
+		this.filterList = [{
+			label: "All",
+			value: ""
+		}, {
+			label: "Installed",
+			value: "True"
+		}, {
+			label: "Not Installed",
+			value: "False"
+		}];
+
+		this.typeList = [{
+			label: "All",
+			value: ""
+		}];
+
+		this.baseList = [{
+			label: "All",
+			value: ""
+		}];
+
+		this.updateFilter();
+		
+	}
+
+	updateFilter() {
+		const $filter  = this.element.querySelector(".cmm-manager-filter");
+		$filter.innerHTML = this.filterList.map(item => {
+			const selected = item.value === this.filter ? " selected" : "";
+			return `<option value="${item.value}"${selected}>${item.label}</option>`
+		}).join("");
+
+		const $type  = this.element.querySelector(".cmm-manager-type");
+		$type.innerHTML = this.typeList.map(item => {
+			const selected = item.value === this.type ? " selected" : "";
+			return `<option value="${item.value}"${selected}>${item.label}</option>`
+		}).join("");
+
+		const $base  = this.element.querySelector(".cmm-manager-base");
+		$base.innerHTML = this.baseList.map(item => {
+			const selected = item.value === this.base ? " selected" : "";
+			return `<option value="${item.value}"${selected}>${item.label}</option>`
+		}).join("");
+
+	}
+
+	bindEvents() {
+		const eventsMap = {
+			".cmm-manager-filter": {
+				change: (e) => {
+					this.filter = e.target.value;
+					this.updateGrid();
+				}
+			},
+			".cmm-manager-type": {
+				change: (e) => {
+					this.type = e.target.value;
+					this.updateGrid();
+				}
+			},
+			".cmm-manager-base": {
+				change: (e) => {
+					this.base = e.target.value;
+					this.updateGrid();
+				}
+			},
+
+			".cmm-manager-keywords": {
+				input: (e) => {
+					const keywords = `${e.target.value}`.trim();
+					if (keywords !== this.keywords) {
+						this.keywords = keywords;
+						this.updateGrid();
+					}
+				},
+				focus: (e) => e.target.select()
+			},
+
+			".cmm-manager-selection": {
+				click: (e) => {
+					const target = e.target;
+					const mode = target.getAttribute("mode");
+					if (mode === "install") {
+						this.installModels(this.selectedModels, target);
+					}
+				}
+			},
+
+			".cmm-manager-close": {
+				click: (e) => this.close()
+			},
+
+		};
+		Object.keys(eventsMap).forEach(selector => {
+			const target = this.element.querySelector(selector);
+			if (target) {
+				const events = eventsMap[selector];
+				if (events) {
+					Object.keys(events).forEach(type => {
+						target.addEventListener(type, events[type]);
+					});
+				}
+			}
+		});
+	}
+
+	// ===========================================================================================
+
+	initGrid() {
+		const container = this.element.querySelector(".cmm-manager-grid");
+		const grid = new TG.Grid(container);
+		this.grid = grid;
+		
+		grid.bind('onUpdated', (e, d) => {
+
+			this.showStatus(`${grid.viewRows.length.toLocaleString()} external models`);
+
+        });
+
+		grid.bind('onSelectChanged', (e, changes) => {
+            this.renderSelected();
+        });
+
+		grid.bind('onClick', (e, d) => {
+			const { rowItem } = d;
+			const target = d.e.target;
+			const mode = target.getAttribute("mode");
+			if (mode === "install") {
+				this.installModels([rowItem], target);
+			}
+
+        });
+
+		grid.setOption({
+			theme: 'dark',
+
+			selectVisible: true,
+			selectMultiple: true,
+			selectAllVisible: true,
+
+			textSelectable: true,
+			scrollbarRound: true,
+
+			frozenColumn: 1,
+			rowNotFound: "No Results",
+
+			rowHeight: 40,
+			bindWindowResize: true,
+			bindContainerResize: true,
+
+			cellResizeObserver: (rowItem, columnItem) => {
+				const autoHeightColumns = ['name', 'description'];
+				return autoHeightColumns.includes(columnItem.id)
+			},
+
+			// updateGrid handler for filter and keywords
+			rowFilter: (rowItem) => {
+
+				const searchableColumns = ["name", "type", "base", "description", "filename", "save_path"];
+
+				let shouldShown = grid.highlightKeywordsFilter(rowItem, searchableColumns, this.keywords);
+
+				if (shouldShown) {
+					if(this.filter && rowItem.installed !== this.filter) {
+						return false;
+					}
+
+					if(this.type && rowItem.type !== this.type) {
+						return false;
+					}
+
+					if(this.base && rowItem.base !== this.base) {
+						return false;
+					}
+
+				}
+
+				return shouldShown;
+			}
+		});
+
+	}
+
+	renderGrid() {
+
+		// update theme
+		const colorPalette = this.app.ui.settings.settingsValues['Comfy.ColorPalette'];
+		Array.from(this.element.classList).forEach(cn => {
+			if (cn.startsWith("cmm-manager-")) {
+				this.element.classList.remove(cn);
+			}
+		});
+		this.element.classList.add(`cmm-manager-${colorPalette}`);
+
+		const options = {
+			theme: colorPalette === "light" ? "" : "dark"
+		};
+
+		const rows = this.modelList || [];
+
+		const columns = [{
+			id: 'id',
+			name: 'ID',
+			width: 50,
+			align: 'center'
+		}, {
+			id: 'name',
+			name: 'Name',
+			width: 200,
+			minWidth: 100,
+			maxWidth: 500,
+			classMap: 'cmm-node-name',
+			formatter: function(name, rowItem, columnItem, cellNode) {
+				return `<a href=${rowItem.reference} target="_blank"><b>${name}</b></a>`;
+			}
+		}, {
+			id: 'installed',
+			name: 'Install',
+			width: 130,
+			minWidth: 110,
+			maxWidth: 200,
+			sortable: false,
+			align: 'center',
+			formatter: (installed, rowItem, columnItem) => {
+				if (rowItem.refresh) {
+					return `<font color="red">Refresh Required</span>`;
+				}
+				if (installed === "True") {
+					return `<div class="cmm-icon-passed">${icons.passed}</div>`;
+				}
+				return `<button class="cmm-btn-install" mode="install">Install</button>`;
+			}
+		}, {
+			id: 'url',
+			name: '',
+			width: 50,
+			sortable: false,
+			align: 'center',
+			formatter: (url, rowItem, columnItem) => {
+				return `<a class="cmm-btn-download" title="Download file" href="${url}" target="_blank">${icons.download}</a>`;
+			}
+		}, {
+			id: 'size',
+			name: 'Size',
+			width: 100,
+			formatter: (size) => {
+				if (typeof size === "number") {
+					return this.formatSize(size);
+				}
+				return size;
+			}
+		}, {
+			id: 'type',
+			name: 'Type',
+			width: 100
+		}, {
+			id: 'base',
+			name: 'Base'
+		}, {
+			id: 'description',
+			name: 'Description',
+			width: 400,
+			maxWidth: 5000,
+			classMap: 'cmm-node-desc'
+		}, {
+			id: "save_path",
+			name: 'Save Path',
+			width: 200
+		}, {
+			id: 'filename',
+			name: 'Filename',
+			width: 200
+		}];
+
+		this.grid.setData({
+			options,
+			rows,
+			columns
+		});
+
+		this.grid.render();
+		
+	}
+
+	updateGrid() {
+		if (this.grid) {
+			this.grid.update();
+		}
+	}
+
+	// ===========================================================================================
+
+	renderSelected() {
+		const selectedList = this.grid.getSelectedRows();
+		if (!selectedList.length) {
+			this.showSelection("");
+			this.selectedModels = [];
+			return;
+		}
+
+		this.selectedModels = selectedList;
+		this.showSelection(`<span>Selected <b>${selectedList.length}</b> models <button class="cmm-btn-install" mode="install">Install</button>`);
+	}
+
+	focusInstall(item) {
+		const cellNode = this.grid.getCellNode(item, "installed");
+		if (cellNode) {
+			const cellBtn = cellNode.querySelector(`button[mode="install"]`);
+			if (cellBtn) {
+				cellBtn.classList.add("cmm-btn-loading");
+				return true
+			}
+		}
+	}
+
+	async installModels(list, btn) {
+		
+		btn.classList.add("cmm-btn-loading");
+		this.showLoading();
+		this.showError("");
+
+		let needRestart = false;
+		let errorMsg = "";
+
+		for (const item of list) {
+			
+			this.grid.scrollRowIntoView(item);
+
+			if (!this.focusInstall(item)) {
+				this.grid.onNextUpdated(() => {
+					this.focusInstall(item);
+				});
+			}
+
+			this.showStatus(`Install ${item.name} ...`);
+
+			const data = item.originalData;
+			const res = await fetchData('/model/install', {
+				method: 'POST',
+				headers: { 'Content-Type': 'application/json' },
+				body: JSON.stringify(data)
+			});
+
+
+			if (res.error) {
+				errorMsg = `Install failed: ${item.name} ${res.error.message}`;
+				break;;
+			}
+
+			needRestart = true;
+
+			this.grid.setRowSelected(item, false);
+
+			item.refresh = true;
+			item.selectable = false;
+			this.grid.updateCell(item, "installed");
+			this.grid.updateCell(item, "tg-column-select");
+
+			this.showStatus(`Install ${item.name} successfully`);
+
+		}
+
+		this.hideLoading();
+		btn.classList.remove("cmm-btn-loading");
+
+		if (errorMsg) {
+			this.showError(errorMsg);
+		} else {
+			this.showStatus(`Install ${list.length} models successfully`);
+		}
+
+		if (needRestart) {
+			this.showMessage(`To apply the installed model, please click the 'Refresh' button on the main menu.`, "red")
+		}
+
+	}
+
+	getModelList(models) {
+
+		const typeMap = new Map();
+		const baseMap = new Map();
+
+		models.forEach((item, i) => {
+			const { type, base, name, reference, installed } = item;
+			item.originalData = JSON.parse(JSON.stringify(item));
+			item.size = this.sizeToBytes(item.size);
+			item.hash = md5(name + reference);
+			item.id = i + 1;
+
+			if (installed === "True") {
+				item.selectable = false;
+			}
+
+			typeMap.set(type, type);
+			baseMap.set(base, base);
+
+		});
+
+		const typeList = [];
+		typeMap.forEach(type => {
+			typeList.push({
+				label: type,
+				value: type
+			});
+		});
+		typeList.sort((a,b)=> {
+			const au = a.label.toUpperCase();
+        	const bu = b.label.toUpperCase();
+        	if (au !== bu) {
+            	return au > bu ? 1 : -1;
+			}
+			return 0;
+		});
+		this.typeList = [{
+			label: "All",
+			value: ""
+		}].concat(typeList);
+
+
+		const baseList = [];
+		baseMap.forEach(base => {
+			baseList.push({
+				label: base,
+				value: base
+			});
+		});
+		baseList.sort((a,b)=> {
+			const au = a.label.toUpperCase();
+        	const bu = b.label.toUpperCase();
+        	if (au !== bu) {
+            	return au > bu ? 1 : -1;
+			}
+			return 0;
+		});
+		this.baseList = [{
+			label: "All",
+			value: ""
+		}].concat(baseList);
+
+		return models;
+	}
+
+	// ===========================================================================================
+
+	async loadData() {
+
+		this.showLoading();
+
+		this.showStatus(`Loading external model list ...`);
+
+		const mode = manager_instance.datasrc_combo.value;
+
+		const res = await fetchData(`/externalmodel/getlist?mode=${mode}`);
+		if (res.error) {
+			this.showError("Failed to get external model list.");
+			this.hideLoading();
+			return
+		}
+		
+		const { models } = res.data;
+
+		this.modelList = this.getModelList(models);
+		// console.log("models", this.modelList);
+
+		this.updateFilter();
+		
+		this.renderGrid();
+
+		this.hideLoading();
+		
+	}
+
+	// ===========================================================================================
+
+	formatSize(v) {
+		const base = 1000;
+        const units = ['', 'K', 'M', 'G', 'T', 'P'];
+        const space = '';
+        const postfix = 'B';
+		if (v <= 0) {
+			return `0${space}${postfix}`;
+		}
+		for (let i = 0, l = units.length; i < l; i++) {
+			const min = Math.pow(base, i);
+			const max = Math.pow(base, i + 1);
+			if (v > min && v <= max) {
+				const unit = units[i];
+				if (unit) {
+					const n = v / min;
+					const nl = n.toString().split('.')[0].length;
+					const fl = Math.max(3 - nl, 1);
+					v = n.toFixed(fl);
+				}
+				v = v + space + unit + postfix;
+				break;
+			}
+		}
+		return v;
+	}
+
+	// for size sort
+	sizeToBytes(v) {
+		if (typeof v === "number") {
+			return v;
+		}
+		if (typeof v === "string") {
+			const n = parseFloat(v);
+			const unit = v.replace(/[0-9.B]+/g, "").trim().toUpperCase();
+			if (unit === "K") {
+				return n * 1000;
+			}
+			if (unit === "M") {
+				return n * 1000 * 1000;
+			}
+			if (unit === "G") {
+				return n * 1000 * 1000 * 1000;
+			}
+			if (unit === "T") {
+				return n * 1000 * 1000 * 1000 * 1000;
+			}
+		}
+		return v;
+	}
+
+	showSelection(msg) {
+		this.element.querySelector(".cmm-manager-selection").innerHTML = msg;
+	}
+
+	showError(err) {
+		this.showMessage(err, "red");
+	}
+
+	showMessage(msg, color) {
+		if (color) {
+			msg = `<font color="${color}">${msg}</font>`;
+		}
+		this.element.querySelector(".cmm-manager-message").innerHTML = msg;
+	}
+
+	showStatus(msg, color) {
+		if (color) {
+			msg = `<font color="${color}">${msg}</font>`;
+		}
+		this.element.querySelector(".cmm-manager-status").innerHTML = msg;
+	}
+
+	showLoading() {
+		this.setDisabled(true);
+		if (this.grid) {
+			this.grid.showLoading();
+			this.grid.showMask({
+				opacity: 0.05
+			});
+		}
+	}
+
+	hideLoading() {
+		this.setDisabled(false);
+		if (this.grid) {
+			this.grid.hideLoading();
+			this.grid.hideMask();
+		}
+	}
+
+	setDisabled(disabled) {
+
+		const $close = this.element.querySelector(".cmm-manager-close");
+
+		const list = [
+			".cmm-manager-header input",
+			".cmm-manager-header select",
+			".cmm-manager-footer button",
+			".cmm-manager-selection button"
+		].map(s => {
+			return Array.from(this.element.querySelectorAll(s));
+		})
+		.flat()
+		.filter(it => {
+			return it !== $close;
+		});
+		
+		list.forEach($elem => {
+			if (disabled) {
+				$elem.setAttribute("disabled", "disabled");
+			} else {
+				$elem.removeAttribute("disabled");
+			}
+		});
+
+		Array.from(this.element.querySelectorAll(".cmm-btn-loading")).forEach($elem => {
+			$elem.classList.remove("cmm-btn-loading");
+		});
+
+	}
+
+	setKeywords(keywords = "") {
+		this.keywords = keywords;
+		this.element.querySelector(".cmm-manager-keywords").value = keywords;
+	}
+
+	show() {
+		this.element.style.display = "flex";
+		this.setKeywords("");
+		this.showSelection("");
+		this.showMessage("");
+		this.loadData();
+	}
+
+	close() {
+		this.element.style.display = "none";
+	}
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/node_fixer.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/node_fixer.js
new file mode 100644
index 0000000000000000000000000000000000000000..f83022f55257122dde3fbd4557fd5f5bcdc44099
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/node_fixer.js
@@ -0,0 +1,219 @@
+import { app } from "../../scripts/app.js";
+import { api } from "../../scripts/api.js";
+
+let double_click_policy = "copy-all";
+
+api.fetchApi('/manager/dbl_click/policy')
+	.then(response => response.text())
+	.then(data => set_double_click_policy(data));
+
+export function set_double_click_policy(mode) {
+	double_click_policy = mode;
+}
+
+function addMenuHandler(nodeType, cb) {
+	const getOpts = nodeType.prototype.getExtraMenuOptions;
+	nodeType.prototype.getExtraMenuOptions = function () {
+		const r = getOpts.apply(this, arguments);
+		cb.apply(this, arguments);
+		return r;
+	};
+}
+
+function distance(node1, node2) {
+	let dx = (node1.pos[0] + node1.size[0]/2) - (node2.pos[0] + node2.size[0]/2);
+	let dy = (node1.pos[1] + node1.size[1]/2) - (node2.pos[1] + node2.size[1]/2);
+	return Math.sqrt(dx * dx + dy * dy);
+}
+
+function lookup_nearest_nodes(node) {
+	let nearest_distance = Infinity;
+	let nearest_node = null;
+	for(let other of app.graph._nodes) {
+		if(other === node)
+			continue;
+
+		let dist = distance(node, other);
+		if (dist < nearest_distance && dist < 1000) {
+			nearest_distance = dist;
+			nearest_node = other;
+		}
+	}
+
+	return nearest_node;
+}
+
+function lookup_nearest_inputs(node) {
+	let input_map = {};
+
+	for(let i in node.inputs) {
+		let input = node.inputs[i];
+
+		if(input.link || input_map[input.type])
+			continue;
+
+		input_map[input.type] = {distance: Infinity, input_name: input.name, node: null, slot: null};
+	}
+
+	let x = node.pos[0];
+	let y = node.pos[1] + node.size[1]/2;
+
+	for(let other of app.graph._nodes) {
+		if(other === node || !other.outputs)
+			continue;
+
+		let dx = x - (other.pos[0] + other.size[0]);
+		let dy = y - (other.pos[1] + other.size[1]/2);
+
+		if(dx < 0)
+			continue;
+
+		let dist = Math.sqrt(dx * dx + dy * dy);
+
+		for(let input_type in input_map) {
+			for(let j in other.outputs) {
+				let output = other.outputs[j];
+				if(output.type == input_type) {
+					if(input_map[input_type].distance > dist) {
+						input_map[input_type].distance = dist;
+						input_map[input_type].node = other;
+						input_map[input_type].slot = parseInt(j);
+					}
+				}
+			}
+		}
+	}
+
+	let res = {};
+	for (let i in input_map) {
+		if (input_map[i].node) {
+			res[i] = input_map[i];
+		}
+	}
+
+	return res;
+}
+
+function connect_inputs(nearest_inputs, node) {
+	for(let i in nearest_inputs) {
+		let info = nearest_inputs[i];
+		info.node.connect(info.slot, node.id, info.input_name);
+	}
+}
+
+function node_info_copy(src, dest, connect_both) {
+	// copy input connections
+	for(let i in src.inputs) {
+		let input = src.inputs[i];
+		if (input.widget !== undefined) {
+			const destWidget = dest.widgets.find(x => x.name === input.widget.name);
+			dest.convertWidgetToInput(destWidget);
+		}
+		if(input.link) {
+			let link = app.graph.links[input.link];
+			let src_node = app.graph.getNodeById(link.origin_id);
+			src_node.connect(link.origin_slot, dest.id, input.name);
+		}
+	}
+
+	// copy output connections
+	if(connect_both) {
+		let output_links = {};
+		for(let i in src.outputs) {
+			let output = src.outputs[i];
+			if(output.links) {
+				let links = [];
+				for(let j in output.links) {
+					links.push(app.graph.links[output.links[j]]);
+				}
+				output_links[output.name] = links;
+			}
+		}
+
+		for(let i in dest.outputs) {
+			let links = output_links[dest.outputs[i].name];
+			if(links) {
+				for(let j in links) {
+					let link = links[j];
+					let target_node = app.graph.getNodeById(link.target_id);
+					dest.connect(parseInt(i), target_node, link.target_slot);
+				}
+			}
+		}
+	}
+
+	dest.color = src.color;
+	dest.bgcolor = src.bgcolor;
+	dest.size = src.size;
+
+	app.graph.afterChange();
+}
+
+app.registerExtension({
+	name: "Comfy.Manager.NodeFixer",
+
+	async nodeCreated(node, app) {
+		let orig_dblClick = node.onDblClick;
+		node.onDblClick = function (e, pos, self) {
+			orig_dblClick?.apply?.(this, arguments);
+
+			if((!node.inputs && !node.outputs) || pos[1] > 0)
+				return;
+
+			switch(double_click_policy) {
+				case "copy-all":
+				case "copy-input":
+					{
+						if(node.inputs?.some(x => x.link != null) || node.outputs?.some(x => x.links != null && x.links.length > 0) )
+							return;
+
+						let src_node = lookup_nearest_nodes(node);
+						if(src_node)
+							node_info_copy(src_node, node, double_click_policy == "copy-all");
+					}
+					break;
+				case "possible-input":
+					{
+						let nearest_inputs = lookup_nearest_inputs(node);
+						if(nearest_inputs)
+							connect_inputs(nearest_inputs, node);
+					}
+					break;
+				case "dual":
+					{
+						if(pos[0] < node.size[0]/2) {
+							// left: possible-input
+							let nearest_inputs = lookup_nearest_inputs(node);
+							if(nearest_inputs)
+								connect_inputs(nearest_inputs, node);
+						}
+						else {
+							// right: copy-all
+							if(node.inputs?.some(x => x.link != null) || node.outputs?.some(x => x.links != null && x.links.length > 0) )
+								return;
+
+							let src_node = lookup_nearest_nodes(node);
+							if(src_node)
+								node_info_copy(src_node, node, true);
+						}
+					}
+					break;
+			}
+		}
+	},
+
+	beforeRegisterNodeDef(nodeType, nodeData, app) {
+		addMenuHandler(nodeType, function (_, options) {
+			options.push({
+				content: "Fix node (recreate)",
+				callback: () => {
+					let new_node = LiteGraph.createNode(nodeType.comfyClass);
+					new_node.pos = [this.pos[0], this.pos[1]];
+					app.canvas.graph.add(new_node, false);
+					node_info_copy(this, new_node, true);
+					app.canvas.graph.remove(this);
+				},
+			});
+		});
+	}
+});
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/snapshot.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/snapshot.js
new file mode 100644
index 0000000000000000000000000000000000000000..01e544f7e20a2236c3ec87461652eb8b917dce17
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/snapshot.js
@@ -0,0 +1,300 @@
+import { app } from "../../scripts/app.js";
+import { api } from "../../scripts/api.js"
+import { ComfyDialog, $el } from "../../scripts/ui.js";
+import { manager_instance, rebootAPI, show_message } from  "./common.js";
+
+
+async function restore_snapshot(target) {
+	if(SnapshotManager.instance) {
+		try {
+			const response = await api.fetchApi(`/snapshot/restore?target=${target}`, { cache: "no-store" });
+
+			if(response.status == 403) {
+				show_message('This action is not allowed with this security level configuration.');
+				return false;
+			}
+
+			if(response.status == 400) {
+				show_message(`Restore snapshot failed: ${target.title} / ${exception}`);
+			}
+
+			app.ui.dialog.close();
+			return true;
+		}
+		catch(exception) {
+			show_message(`Restore snapshot failed: ${target.title} / ${exception}`);
+			return false;
+		}
+		finally {
+			await SnapshotManager.instance.invalidateControl();
+			SnapshotManager.instance.updateMessage("<BR>To apply the snapshot, please <button id='cm-reboot-button2' class='cm-small-button'>RESTART</button> ComfyUI. And refresh browser.", 'cm-reboot-button2');
+		}
+	}
+}
+
+async function remove_snapshot(target) {
+	if(SnapshotManager.instance) {
+		try {
+			const response = await api.fetchApi(`/snapshot/remove?target=${target}`, { cache: "no-store" });
+
+			if(response.status == 403) {
+				show_message('This action is not allowed with this security level configuration.');
+				return false;
+			}
+
+			if(response.status == 400) {
+				show_message(`Remove snapshot failed: ${target.title} / ${exception}`);
+			}
+
+			app.ui.dialog.close();
+			return true;
+		}
+		catch(exception) {
+			show_message(`Restore snapshot failed: ${target.title} / ${exception}`);
+			return false;
+		}
+		finally {
+			await SnapshotManager.instance.invalidateControl();
+		}
+	}
+}
+
+async function save_current_snapshot() {
+	try {
+		const response = await api.fetchApi('/snapshot/save', { cache: "no-store" });
+		app.ui.dialog.close();
+		return true;
+	}
+	catch(exception) {
+		show_message(`Backup snapshot failed: ${exception}`);
+		return false;
+	}
+	finally {
+		await SnapshotManager.instance.invalidateControl();
+		SnapshotManager.instance.updateMessage("<BR>Current snapshot saved.");
+	}
+}
+
+async function getSnapshotList() {
+	const response = await api.fetchApi(`/snapshot/getlist`);
+	const data = await response.json();
+	return data;
+}
+
+export class SnapshotManager extends ComfyDialog {
+	static instance = null;
+
+	restore_buttons = [];
+	message_box = null;
+	data = null;
+
+	clear() {
+		this.restore_buttons = [];
+		this.message_box = null;
+		this.data = null;
+	}
+
+	constructor(app, manager_dialog) {
+		super();
+		this.manager_dialog = manager_dialog;
+		this.search_keyword = '';
+		this.element = $el("div.comfy-modal", { parent: document.body }, []);
+	}
+
+	async remove_item() {
+		caller.disableButtons();
+
+		await caller.invalidateControl();
+	}
+
+	createControls() {
+		return [
+			$el("button.cm-small-button", {
+				type: "button",
+				textContent: "Close",
+				onclick: () => { this.close(); }
+				})
+		];
+	}
+
+	startRestore(target) {
+		const self = SnapshotManager.instance;
+
+		self.updateMessage(`<BR><font color="green">Restore snapshot '${target.name}'</font>`);
+
+		for(let i in self.restore_buttons) {
+			self.restore_buttons[i].disabled = true;
+			self.restore_buttons[i].style.backgroundColor = 'gray';
+		}
+	}
+
+	async invalidateControl() {
+		this.clear();
+		this.data = (await getSnapshotList()).items;
+
+		while (this.element.children.length) {
+			this.element.removeChild(this.element.children[0]);
+		}
+
+		await this.createGrid();
+		await this.createBottomControls();
+	}
+
+	updateMessage(msg, btn_id) {
+		this.message_box.innerHTML = msg;
+		if(btn_id) {
+			const rebootButton = document.getElementById(btn_id);
+			const self = this;
+			rebootButton.onclick = function() {
+				if(rebootAPI()) {
+					self.close();
+					self.manager_dialog.close();
+				}
+			};
+		}
+	}
+
+	async createGrid(models_json) {
+		var grid = document.createElement('table');
+		grid.setAttribute('id', 'snapshot-list-grid');
+
+		var thead = document.createElement('thead');
+		var tbody = document.createElement('tbody');
+
+		var headerRow = document.createElement('tr');
+		thead.style.position = "sticky";
+		thead.style.top = "0px";
+		thead.style.borderCollapse = "collapse";
+		thead.style.tableLayout = "fixed";
+
+		var header1 = document.createElement('th');
+		header1.innerHTML = '&nbsp;&nbsp;ID&nbsp;&nbsp;';
+		header1.style.width = "20px";
+		var header2 = document.createElement('th');
+		header2.innerHTML = 'Datetime';
+		header2.style.width = "100%";
+		var header_button = document.createElement('th');
+		header_button.innerHTML = 'Action';
+		header_button.style.width = "100px";
+
+		thead.appendChild(headerRow);
+		headerRow.appendChild(header1);
+		headerRow.appendChild(header2);
+		headerRow.appendChild(header_button);
+
+		headerRow.style.backgroundColor = "Black";
+		headerRow.style.color = "White";
+		headerRow.style.textAlign = "center";
+		headerRow.style.width = "100%";
+		headerRow.style.padding = "0";
+
+		grid.appendChild(thead);
+		grid.appendChild(tbody);
+
+		this.grid_rows = {};
+
+		if(this.data)
+			for (var i = 0; i < this.data.length; i++) {
+				const data = this.data[i];
+				var dataRow = document.createElement('tr');
+				var data1 = document.createElement('td');
+				data1.style.textAlign = "center";
+				data1.innerHTML = i+1;
+				var data2 = document.createElement('td');
+				data2.innerHTML = `&nbsp;${data}`;
+				var data_button = document.createElement('td');
+				data_button.style.textAlign = "center";
+
+				var restoreBtn = document.createElement('button');
+				restoreBtn.innerHTML = 'Restore';
+				restoreBtn.style.width = "100px";
+				restoreBtn.style.backgroundColor = 'blue';
+
+				restoreBtn.addEventListener('click', function() {
+					restore_snapshot(data);
+				});
+
+				var removeBtn = document.createElement('button');
+				removeBtn.innerHTML = 'Remove';
+				removeBtn.style.width = "100px";
+				removeBtn.style.backgroundColor = 'red';
+
+				removeBtn.addEventListener('click', function() {
+					remove_snapshot(data);
+				});
+
+				data_button.appendChild(restoreBtn);
+				data_button.appendChild(removeBtn);
+
+				dataRow.style.backgroundColor = "var(--bg-color)";
+				dataRow.style.color = "var(--fg-color)";
+				dataRow.style.textAlign = "left";
+
+				dataRow.appendChild(data1);
+				dataRow.appendChild(data2);
+				dataRow.appendChild(data_button);
+				tbody.appendChild(dataRow);
+
+				this.grid_rows[i] = {data:data, control:dataRow};
+			}
+
+		let self = this;
+		const panel = document.createElement('div');
+		panel.style.width = "100%";
+		panel.appendChild(grid);
+
+		function handleResize() {
+		  const parentHeight = self.element.clientHeight;
+		  const gridHeight = parentHeight - 200;
+
+		  grid.style.height = gridHeight + "px";
+		}
+		window.addEventListener("resize", handleResize);
+
+		grid.style.position = "relative";
+		grid.style.display = "inline-block";
+		grid.style.width = "100%";
+		grid.style.height = "100%";
+		grid.style.overflowY = "scroll";
+		this.element.style.height = "85%";
+		this.element.style.width = "80%";
+		this.element.appendChild(panel);
+
+		handleResize();
+	}
+
+	async createBottomControls() {
+		var close_button = document.createElement("button");
+		close_button.className = "cm-small-button";
+		close_button.innerHTML = "Close";
+		close_button.onclick = () => { this.close(); }
+		close_button.style.display = "inline-block";
+
+		var save_button = document.createElement("button");
+		save_button.className = "cm-small-button";
+		save_button.innerHTML = "Save snapshot";
+		save_button.onclick = () => { save_current_snapshot(); }
+		save_button.style.display = "inline-block";
+		save_button.style.horizontalAlign = "right";
+		save_button.style.width = "170px";
+
+		this.message_box = $el('div', {id:'custom-download-message'}, [$el('br'), '']);
+		this.message_box.style.height = '60px';
+		this.message_box.style.verticalAlign = 'middle';
+
+		this.element.appendChild(this.message_box);
+		this.element.appendChild(close_button);
+		this.element.appendChild(save_button);
+	}
+
+	async show() {
+		try {
+			this.invalidateControl();
+			this.element.style.display = "block";
+			this.element.style.zIndex = 10001;
+		}
+		catch(exception) {
+			app.ui.dialog.show(`Failed to get external model list. / ${exception}`);
+		}
+	}
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/terminal.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/terminal.js
new file mode 100644
index 0000000000000000000000000000000000000000..091959fa5f60ae880b1f19f5ea014c56d9f56415
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/terminal.js
@@ -0,0 +1,81 @@
+import {app} from "../../scripts/app.js";
+import {ComfyWidgets} from "../../scripts/widgets.js";
+// Node that add notes to your project
+
+let terminal_node;
+let log_mode = false;
+
+app.registerExtension({
+	name: "Comfy.Manager.Terminal",
+
+	registerCustomNodes() {
+		class TerminalNode {
+			color = "#222222";
+			bgcolor = "#000000";
+			groupcolor = LGraphCanvas.node_colors.black.groupcolor;
+			constructor() {
+				this.logs = [];
+
+				if (!this.properties) {
+					this.properties = {};
+					this.properties.text="";
+				}
+
+				ComfyWidgets.STRING(this, "", ["", {default:this.properties.text, multiline: true}], app)
+				ComfyWidgets.BOOLEAN(this, "mode", ["", {default:true, label_on:'Logging', label_off:'Stop'}], app)
+				ComfyWidgets.INT(this, "lines", ["", {default:500, min:10, max:10000, steps:1}], app)
+
+				let self = this;
+				Object.defineProperty(this.widgets[1], 'value', {
+					set: (v) => {
+						api.fetchApi(`/manager/terminal?mode=${v}`, {});
+						log_mode = v;
+					},
+					get: () => {
+						return log_mode;
+					}
+				});
+
+				this.serialize_widgets = false;
+				this.isVirtualNode = true;
+
+				if(terminal_node) {
+					try {
+						terminal_node.widgets[0].value = 'The output of this node is disabled because another terminal node has appeared.';
+					}
+					catch {}
+				}
+				terminal_node = this;
+			}
+		}
+
+		// Load default visibility
+		LiteGraph.registerNodeType(
+			"Terminal Log //CM",
+			Object.assign(TerminalNode, {
+				title_mode: LiteGraph.NORMAL_TITLE,
+				title: "Terminal Log (Manager)",
+				collapsable: true,
+			})
+		);
+
+		TerminalNode.category = "utils";
+	},
+});
+
+
+import { api } from "../../scripts/api.js";
+
+function terminalFeedback(event) {
+	if(terminal_node) {
+		terminal_node.logs.push(event.detail.data);
+		if(terminal_node.logs.length > terminal_node.widgets[2].value) {
+			terminal_node.logs.shift();
+			if(terminal_node.logs[0] == '' || terminal_node.logs[0] == '\n')
+				terminal_node.logs.shift();
+		}
+		terminal_node.widgets[0].value = [...terminal_node.logs].reverse().join('').trim();
+	}
+}
+
+api.addEventListener("manager-terminal-feedback", terminalFeedback);
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/js/turbogrid.esm.js b/ComfyUI/custom_nodes/ComfyUI-Manager/js/turbogrid.esm.js
new file mode 100644
index 0000000000000000000000000000000000000000..fd0bfb57db2af168bac5642b78e503fcac9d82af
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/js/turbogrid.esm.js
@@ -0,0 +1 @@
+var t={915:(t,e,i)=>{i.d(e,{A:()=>l});var o=i(256),n=i.n(o),s=i(505),r=i.n(s)()(n());r.push([t.id,'.tg-turbogrid{position:relative;z-index:0;width:100%;height:100%;margin:0;padding:0;box-sizing:border-box;font-size:14px;font-family:arial,sans-serif;outline:0;cursor:default;overflow:hidden}.tg-turbogrid *,.tg-turbogrid *::before,.tg-turbogrid *::after{box-sizing:border-box}.tg-text-unselectable.tg-turbogrid{user-select:none}.tg-turbogrid svg{display:block;pointer-events:none}.tg-turbogrid .tg-symbols{font-family:webdings,sans-serif}.tg-turbogrid .tg-nowrap{white-space:nowrap}.tg-turbogrid .tg-align-left{text-align:left}.tg-turbogrid .tg-align-center{text-align:center}.tg-turbogrid .tg-align-right{text-align:right}@keyframes tg-fade-in{from{opacity:0}to{opacity:1}}@keyframes tg-fade-out{from{opacity:1}to{opacity:0}}.tg-turbogrid .tg-fade-in{animation-name:tg-fade-in;animation-duration:.2s;animation-fill-mode:both}.tg-turbogrid .tg-fade-in .tg-scrollbar-track{display:none}.tg-turbogrid .tg-fade-out{animation-name:tg-fade-out;animation-duration:.2s;animation-fill-mode:both}.tg-turbogrid .tg-fade-out .tg-scrollbar-track{display:none}.tg-turbogrid .tg-mask{position:absolute;top:0;left:0;z-index:200;display:none;width:100%;height:100%;background-color:#000;opacity:.1}@keyframes tg-loading-animation{0%{transform:rotate(0deg)}100%{transform:rotate(360deg)}}.tg-turbogrid .tg-loading{position:absolute;top:50%;left:50%;z-index:300;display:none;transform:translate(-50%, -50%);pointer-events:none}.tg-turbogrid .tg-loading-default{width:35px;height:35px;color:#0077cf;animation:1s tg-loading-animation linear infinite}.tg-turbogrid .tg-loading-fast{animation:.382s tg-loading-animation linear infinite}.tg-turbogrid .tg-checkbox{width:100%;height:100%;cursor:pointer;overflow:hidden}.tg-turbogrid .tg-checkbox:hover .tg-checkbox-item{fill:#005ba1}.tg-turbogrid .tg-checkbox.tg-select-icon-all{height:18px}.tg-turbogrid .tg-checkbox .tg-icon-checkbox{position:absolute;top:50%;left:50%;display:block;width:16px;height:16px;transform:translate(-50%, -50%)}.tg-turbogrid .tg-checkbox .tg-checkbox-item{display:none;fill:gray}.tg-turbogrid .tg-checkbox .tg-checkbox-none{display:block}.tg-turbogrid .tg-checkbox.tg-selected .tg-checkbox-selected{display:block;fill:#0077cf}.tg-turbogrid .tg-checkbox.tg-mixed .tg-checkbox-mixed{display:block;fill:#0077cf}.tg-turbogrid .tg-radio{cursor:pointer;overflow:hidden}.tg-turbogrid .tg-radio:hover .tg-icon-radio::before{border-color:#005ba1}.tg-turbogrid .tg-radio .tg-icon-radio{position:absolute;top:50%;left:50%;width:16px;height:16px;transform:translate(-50%, -50%)}.tg-turbogrid .tg-radio .tg-icon-radio::before{position:absolute;top:50%;left:50%;content:"";display:block;width:16px;height:16px;border:thin solid gray;border-radius:50%;background:#fff;transform:translate(-50%, -50%)}.tg-turbogrid .tg-radio .tg-icon-radio::after{position:absolute;top:50%;left:50%;content:"";display:none;width:10px;height:10px;border-radius:50%;background:#0077cf;transform:translate(-50%, -50%)}.tg-turbogrid .tg-radio.tg-selected .tg-icon-radio::after{display:block;border-color:#0077cf}.tg-turbogrid .tg-scrollbar{position:absolute;z-index:100;overflow:hidden;user-select:none}.tg-turbogrid .tg-scrollbar-v{top:0;right:0}.tg-turbogrid .tg-scrollbar-h{left:0;bottom:0}.tg-turbogrid .tg-scrollbar-track{position:relative;width:100%;height:100%;background:#f9f9f9;overflow:hidden;user-select:none}.tg-turbogrid .tg-scrollbar-thumb{position:absolute;top:0;left:0;border-radius:1px;background:#999;overflow:hidden;user-select:none}.tg-turbogrid .tg-scrollbar-thumb:hover{background:#888}.tg-turbogrid .tg-scrollbar-thumb-hold{background:#666}.tg-turbogrid .tg-scrollbar-thumb-hold:hover{background:#666}.tg-turbogrid .tg-scrollbar-round .tg-scrollbar-track{border-radius:10px}.tg-turbogrid .tg-scrollbar-round .tg-scrollbar-thumb{border-radius:10px}.tg-turbogrid .tg-scroll-pane{position:relative;margin:0;padding:0;border:none;outline:none;overflow:hidden}.tg-turbogrid .tg-scroll-view{position:relative;width:100%;height:100%;margin:0;padding:0;border:none;overflow:hidden}.tg-turbogrid .tg-scroll-body{position:absolute}.tg-turbogrid .tg-header{position:relative;width:10000px;border-left:0;overflow:hidden}.tg-turbogrid .tg-header-table{position:relative;color:#5e5e5e;font-weight:bold;font-size:14px;line-height:16px;border-bottom:thin solid #e5e5e5;overflow:hidden}.tg-turbogrid .tg-header-item{position:absolute;bottom:0}.tg-turbogrid .tg-header-group-item{overflow:hidden}.tg-turbogrid .tg-header-group-item::after{position:absolute;left:5px;bottom:0;content:"";display:block;width:calc(100% - 10px);height:1px;border-bottom:thin solid #ccc}.tg-turbogrid .tg-column-header{position:absolute;bottom:0;overflow:hidden}.tg-turbogrid .tg-column-header .tg-column-name{padding:10px 5px;text-overflow:ellipsis;overflow:hidden}.tg-turbogrid .tg-column-header .tg-column-name.tg-header-group-name{margin:0 5px;padding:5px 0}.tg-turbogrid .tg-column-resizing{position:absolute;top:0;right:-5px;z-index:100;width:10px;height:100%;background:#ccc;cursor:ew-resize;opacity:0}.tg-turbogrid .tg-header-column-last .tg-column-resizing{right:0}.tg-turbogrid .tg-column-sortable .tg-column-name{cursor:pointer}.tg-turbogrid .tg-column-sortable .tg-sort-indicator{cursor:pointer}.tg-turbogrid .tg-column-sorted{color:#000}.tg-turbogrid .tg-header-sort-h .tg-column-name{padding:12px 5px 15px}.tg-turbogrid .tg-header-sort-h .tg-column-sort{width:100%;height:15px;margin-top:-15px;padding:0 5px;overflow:hidden}.tg-turbogrid .tg-header-sort-h .tg-sort-indicator{position:relative;display:none;width:100%;height:100%}.tg-turbogrid .tg-header-sort-h .tg-column-sorted .tg-column-sort .tg-sort-indicator{display:block}.tg-turbogrid .tg-header-sort-h .tg-sort-indicator-line{position:absolute;top:1px;width:100%;height:0;border-top:thin solid #1e1e1e;overflow:hidden}.tg-turbogrid .tg-header-sort-h .tg-sort-indicator-icon{position:absolute;top:5px;left:0;right:inherit}.tg-turbogrid .tg-header-sort-h .tg-align-right .tg-sort-indicator-icon{left:inherit;right:0}.tg-turbogrid .tg-header-sort-h .tg-align-center .tg-sort-indicator-icon{left:50%;transform:translateX(-50%)}.tg-turbogrid .tg-header-sort-h .tg-sort-indicator-icon .tg-icon-sort-h{display:block;width:19px;height:6px}.tg-turbogrid .tg-header-sort-h .tg-sort-indicator-icon .tg-icon-item{display:none;fill:#1e1e1e}.tg-turbogrid .tg-header-sort-h .tg-sort-indicator-icon .tg-icon-item-light{fill:#ababab}.tg-turbogrid .tg-column-sort-v{display:flex;flex-direction:row;align-items:center}.tg-turbogrid .tg-column-sort-v .tg-column-name{white-space:nowrap;text-overflow:ellipsis;overflow:hidden}.tg-turbogrid .tg-column-sort-v.tg-align-right{justify-content:right}.tg-turbogrid .tg-column-sort-v .tg-sort-indicator{position:relative;width:16px;height:16px}.tg-turbogrid .tg-column-sort-v .tg-sort-indicator-icon{position:absolute}.tg-turbogrid .tg-column-sort-v .tg-sort-indicator-icon .tg-icon-sort-v{display:block;width:10px;height:16px}.tg-turbogrid .tg-column-sort-v .tg-sort-indicator-icon .tg-icon-item{fill:#ababab}.tg-turbogrid .tg-column-sort-v .tg-sort-indicator-icon .tg-icon-item-light{fill:#ababab}.tg-turbogrid .tg-column-sort-v.tg-column-sorted .tg-sort-indicator-icon .tg-icon-item{fill:#1e1e1e}.tg-turbogrid .tg-column-sort-v.tg-column-sorted .tg-sort-indicator-icon .tg-icon-item-light{fill:#ababab}.tg-turbogrid .tg-sort-desc .tg-sort-indicator .tg-sort-indicator-icon .tg-desc{display:block}.tg-turbogrid .tg-sort-desc .tg-sort-indicator .tg-sort-indicator-icon .tg-asc{display:none}.tg-turbogrid .tg-sort-asc .tg-sort-indicator .tg-sort-indicator-icon .tg-desc{display:none}.tg-turbogrid .tg-sort-asc .tg-sort-indicator .tg-sort-indicator-icon .tg-asc{display:block}.tg-turbogrid .tg-column-line{position:absolute;top:0;left:0;z-index:100;display:none;height:100%;pointer-events:none}.tg-turbogrid .tg-column-line-item{position:absolute;top:0;bottom:0;display:block;width:0;height:100%;border-left:thin solid #ccc}.tg-turbogrid .tg-column-line-item.tg-active{border-left:thin solid #0077cf}.tg-turbogrid .tg-column-dragging{cursor:ew-resize}.tg-turbogrid .tg-column-dragging .tg-column-name{cursor:ew-resize}.tg-turbogrid .tg-column-dragging .tg-column-resizing:not(.tg-resizing-active){display:none}.tg-turbogrid .tg-tree{position:relative;display:flex;flex-direction:row;place-items:center left;width:100%;height:100%;overflow:hidden}.tg-turbogrid .tg-tree-icon{position:relative;width:15px;height:100%;min-height:9px;text-align:left;cursor:pointer;overflow:hidden}.tg-turbogrid .tg-tree-icon .tg-icon-tree{position:absolute;top:50%;left:0;display:block;width:9px;height:9px;transform:translate(0, -50%);overflow:hidden}.tg-turbogrid 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.tg-body-message{position:absolute;display:none;width:100%;height:100%;padding:10px;overflow:hidden}.tg-turbogrid .tg-body-message img,.tg-turbogrid .tg-body-message div{position:absolute;top:50%;left:50%;transform:translate(-50%, -50%)}.tg-turbogrid .tg-body{position:absolute;outline:0}.tg-turbogrid .tg-cell-hover-icon{display:none}.tg-touch-device.tg-turbogrid .tg-cell-hover-icon{display:inherit}.tg-turbogrid .tg-cell-row-number{font-weight:normal}.tg-turbogrid .tg-cell-row-drag .tg-row-drag-icon{position:absolute;top:50%;left:50%;width:24px;height:24px;cursor:move;opacity:.8;transform:translate(-50%, -50%)}.tg-turbogrid .tg-cell-row-drag .tg-row-drag-icon:hover{opacity:1}.tg-turbogrid .tg-cell{position:absolute;z-index:1;height:100%;margin:0;padding:0 5px;color:#1e1e1e;white-space:nowrap;text-overflow:ellipsis;vertical-align:middle;overflow:hidden}.tg-turbogrid .tg-cell:focus{outline:none}.tg-turbogrid .tg-cell.tg-flashing{border:1px solid red !important}.tg-turbogrid 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";return t+=`More than ${i} (max limit) listeners added. `,t+="Use setMaxListeners(n) to increase limit.",void console.warn(t,e)}t.events.push(e)},addEvents:function(t,e,i){e.forEach((function(e){const o=e.type;t[o]||(t[o]={events:[]});if("function"!=typeof e.handler)return;const n=t[o];N.addEvent(n,e,i)}))},removeEventByNamespace:function(t,e){Object.keys(t).forEach((function(i){const o=t[i],n=[];o.events.forEach((function(t){t&&t.namespace!==e&&n.push(t)})),o.events=n}))},removeEventByHandler:function(t,e,i){const o=t[e];if(!o)return;const n=[];o.events.forEach((function(t){t&&t.handler!==i&&n.push(t)})),o.events=n},removeEventByType:function(t,e){const i=t[e];i&&(i.events=[])},removeEvent:function(t,e){const i=e.type,o=e.namespace;if(!i&&o)return void N.removeEventByNamespace(t,o);const n=e.handler;"function"!=typeof n?N.removeEventByType(t,i):N.removeEventByHandler(t,i,n)},removeEvents:function(t,e){e.forEach((function(e){N.removeEvent(t,e)}))},removeAllEvents:function(t){Object.keys(t).forEach((function(e){N.removeEventByType(t,e)}))},sendEventList:function(t,e,i,o){const n=e.events;for(let e=0;e<n.length;e++){const s=n[e];if(!s.onceCalled&&(s.once&&(s.onceCalled=!0),i.namespace=s.namespace,s.handler.call(t,i,o),i.isPropagationStopped))break}e.events=n.filter((t=>!t.onceCalled))},sendEvent:function(t,e,i,o){const n=e[i];if(!n)return;const s=new P({type:i,target:t,currentTarget:t,data:o});N.sendEventList(t,n,s,o)}},_=N;class k{maxListeners=10;setMaxListeners(t){this.maxListeners=Number(t)||10}getMaxListeners(){return this.maxListeners}getEventListeners(){return this.eventListeners||(this.eventListeners={}),this.eventListeners}delEventListeners(){this.eventListeners=null}bind(t,e,i){const o=_.getEventList(this,t,e,i);if(!o.length)return this;const n=this.getEventListeners();return _.addEvents(n,o,this.maxListeners),this}once(t,e){return this.bind(t,e,{once:!0})}unbind(t,e,i){const o=this.getEventListeners();if(!arguments.length)return _.removeAllEvents(o),this;const n=_.getEventList(this,t,e,i);return n.length?(_.removeEvents(o,n),this):this}trigger(t,e){const i=this.getEventListeners();return _.sendEvent(this,i,t,e),this}}const V={DRAG_START:"drag_start",DRAG_MOVE:"drag_move",DRAG_END:"drag_end"};class O extends k{static EVENT=V;generateOptions(t){return d.merge({type:"mouse",startX:0,startY:0,previousX:0,previousY:0,currentX:0,currentY:0,moveX:0,moveY:0,offsetX:0,offsetY:0,changed:!1},t)}start(t,e){t&&(this.unbindEvents(),this.bindEvents(),this.options=this.generateOptions(e),this.startHandler(t))}bindEvents(){this.windowEvents={mousemove:{handler:t=>{this.iframeHandler(t),this.mouseMoveHandler(t)},options:!0},mouseup:{handler:t=>{this.mouseUpHandler(t)},options:{once:!0}}},d.bindEvents(this.windowEvents,window)}unbindEvents(){d.unbindEvents(this.windowEvents),this.windowEvents=null,this.previousIframe&&(this.previousIframe.classList.remove("tg-pointer-events-none"),this.previousIframe=null)}iframeHandler(t){const e=t.target;"IFRAME"===e.nodeName&&e!==this.previousIframe&&(this.previousIframe&&this.previousIframe.classList.remove("tg-pointer-events-none"),e.classList.add("tg-pointer-events-none"),this.previousIframe=e)}startHandler(t){const e=this.options;e.e=t,e.startX=t.pageX,e.startY=t.pageY,e.currentX=e.startX,e.currentY=e.startY,this.hasMoved=!1}mouseMoveHandler(t){d.preventDefault(t);const e=this.options;e.e=t,e.previousX=e.currentX,e.previousY=e.currentY,e.currentX=t.pageX,e.currentY=t.pageY,e.moveX=e.currentX-e.previousX,e.moveY=e.currentY-e.previousY,e.offsetX=e.currentX-e.startX,e.offsetY=e.currentY-e.startY,e.changed=!(0===e.offsetX&&0===e.offsetY),this.hasMoved?this.trigger(V.DRAG_MOVE,e):(this.hasMoved=!0,this.trigger(V.DRAG_START,e))}mouseUpHandler(t){this.unbindEvents();const e=this.options;this.hasMoved&&(e.e=t,d.preventDefault(t),this.trigger(V.DRAG_END,e))}destroy(){this.unbindEvents(),this.unbind()}}const $={Linear:{None:function(t){return t}}},D={MOTION_START:"motion_start",MOTION_MOVE:"motion_move",MOTION_END:"motion_end",MOTION_STOP:"motion_stop"};class B extends k{static EVENT=D;constructor(t){super(),this.constructorOptions=t,this.stopped=!0}generateOptions(t){return d.merge({easing:null,duration:100,from:0,till:1,data:0},this.constructorOptions,t)}stop(){return this.stopped||(this.stopped=!0,this.cancelAnimationFrame(),this.trigger(D.MOTION_STOP,this.data)),this}start(t){return this.stop(),this.stopped=!1,this.options=this.generateOptions(t),this.initCalculation(),this.data=this.calculateHandler(0),this.trigger(D.MOTION_START,this.data),this.stopped||(this.time=Date.now(),this.requestAnimationFrame(this.moveHandler)),this}requestAnimationFrame(t){this.requestId=window.requestAnimationFrame((()=>{t.apply(this)}))}cancelAnimationFrame(){window.cancelAnimationFrame(this.requestId)}getEasing(t){return"function"!=typeof t&&(t=d.getValue($,t,$.Linear.None)),t}moveHandler(){const t=Date.now()-this.time,e=this.duration;if(t<e){const i=t/e;return this.data=this.calculateHandler(i),this.trigger(D.MOTION_MOVE,this.data),void this.requestAnimationFrame(this.moveHandler)}this.cancelAnimationFrame(),this.data=this.calculateHandler(1),this.trigger(D.MOTION_MOVE,this.data),this.trigger(D.MOTION_END,this.data)}initCalculation(){const t=this.options;this.duration=d.toNum(t.duration,!0)||100,this.easing=this.getEasing(t.easing),this.calculateKeys=null;const e=t.from,i=t.till;d.isNum(e)&&d.isNum(i)?this.calculateType=this.calculateNumber:this.calculateType=e&&"object"==typeof e&&i&&"object"==typeof i?this.calculateObject:this.calculateNone}calculateHandler(t){const e=this.easing(t),i=this.options;return this.calculateType(e,i.from,i.till)}calculateObject(t,e,i){const o={};return this.calculateKeys?(this.calculateKeys.forEach((n=>{o[n]=this.calculateNumber(t,e[n],i[n])})),o):(this.calculateKeys=[],Object.keys(e).forEach((n=>{const s=e[n],r=i[n];d.isNum(s)&&d.isNum(r)&&(o[n]=this.calculateNumber(t,s,r),this.calculateKeys.push(n))})),o)}calculateNumber(t,e,i){return(i-e)*t+e}calculateNone(t,e,i){return e}destroy(){this.stop(),this.unbind()}}const A={TOUCH_START:"touch_start",TOUCH_MOVE:"touch_move",TOUCH_END:"touch_end",TOUCH_INERTIA:"touch_inertia"};class W extends k{static EVENT=A;generateOptions(t){return d.merge({type:"touch",startX:0,startY:0,previousX:0,previousY:0,currentX:0,currentY:0,moveX:0,moveY:0,offsetX:0,offsetY:0,changed:!1,touchLength:0,direction:"",inertia:!1,inertiaTime:200},t)}start(t,e){t&&(this.unbindEvents(),this.bindEvents(),this.options=this.generateOptions(e),this.startHandler(t))}bindEvents(){this.touchEvents={touchmove:{handler:t=>{this.touchMoveHandler(t)},options:{passive:!1}},touchend:{handler:t=>{this.touchEndHandler(t)},options:{passive:!1,once:!0}},touchcancel:{handler:t=>{this.touchCancelHandler(t)},options:{passive:!1,once:!0}}},d.bindEvents(this.touchEvents,document.body)}unbindEvents(){this.motionStop(),d.unbindEvents(this.touchEvents),this.touchEvents=null}startHandler(t){this.trackingPoints=[];const e=t.touches,i=e[0];if(!i)return;const o=this.options;o.e=t,o.startX=i.clientX,o.startY=i.clientY,o.currentX=o.startX,o.currentY=o.startY,o.touchLength=e.length,this.addTrackingPoint(o),this.trigger(A.TOUCH_START,o)}touchMoveHandler(t){const e=t.touches,i=e[0];if(!i)return;const o=this.options;o.e=t,o.previousX=o.currentX,o.previousY=o.currentY,o.currentX=i.clientX,o.currentY=i.clientY,o.moveX=o.currentX-o.previousX,o.moveY=o.currentY-o.previousY,o.offsetX=o.currentX-o.startX,o.offsetY=o.currentY-o.startY,o.changed=!(0===o.offsetX&&0===o.offsetY),o.touchLength=e.length,o.direction=this.getDirection(o),this.addTrackingPoint(o),this.trigger(A.TOUCH_MOVE,o)}touchEndHandler(t){this.unbindEvents();const e=this.options;e.e=t,this.trigger(A.TOUCH_END,e);const i=t.changedTouches[0];if(!i)return;const o=t.touches;e.touchLength=o.length,e.touchLength>0||(e.currentX=i.clientX,e.currentY=i.clientY,this.addTrackingPoint(e),this.motionStart())}touchCancelHandler(t){this.unbindEvents(),this.trigger(A.TOUCH_END,this.options)}getMotionInfo(){const t=this.trackingPoints;if(t.length<2)return;if(this.filterTrackingPoints(t),t.length<2)return;const e=t[0],i=t[t.length-1],o=i.t-e.t;if(o<=0)return;let n=i.x-e.x,s=i.y-e.y;const r=Math.abs(n),l=Math.abs(s);r>l?s=0:n=0;return{offsetDistance:Math.max(r,l),offsetTime:o,offsetX:n,offsetY:s}}motionStart(){const t=this.options;if(!t.inertia)return;const e=this.getMotionInfo();if(!e)return;const i=500*e.offsetDistance/50,o=d.clamp(i,20,2e3),n={x:20*(e.offsetX/e.offsetTime),y:20*(e.offsetY/e.offsetTime)};this.motion=new B,this.motion.bind(B.EVENT.MOTION_MOVE,((e,i)=>{t.touchInertiaX=i.x,t.touchInertiaY=i.y,this.trigger(A.TOUCH_INERTIA,t)})),this.motion.start({duration:o,from:n,till:{x:0,y:0}})}motionStop(){this.motion&&(this.motion.destroy(),this.motion=null)}getDirection(t){const i=t.offsetX,o=t.offsetY,n=Math.abs(i),s=Math.abs(o);if(n<s){if(o>0)return e.UP;if(o<0)return e.DOWN}if(n>s){if(i>0)return e.LEFT;if(i<0)return e.RIGHT}return""}filterTrackingPoints(t){t.reverse();const e=t.length,i=Date.now(),o=this.options.inertiaTime;for(let n=0;n<e;n++)if(i-t[n].t>o){t.length=n;break}t.reverse()}addTrackingPoint(t){if(!t.inertia)return;const e=t.currentX,i=t.currentY,o=Date.now(),n=this.trackingPoints;n.push({x:e,y:i,t:o}),n.length>100&&this.filterTrackingPoints(n)}destroy(){this.unbindEvents(),this.unbind()}}const F={getAllEvents:function(){return[].concat(H)},bindEvents:function(){this.unbindEvents(),this.containerEvents={mousedown:{handler:t=>{this.containerMouseDownHandler(t)},options:!0},mousemove:{handler:t=>{this.containerMouseMoveHandler(t)},options:!0},mouseover:{handler:t=>{this.containerMouseOverOutHandler(t,!0)},options:!0},mouseout:{handler:t=>{this.containerMouseOverOutHandler(t,!1)},options:!0},mouseenter:{handler:t=>{this.containerMouseEnterLeaveHandler(t,!0)},options:!0},mouseleave:{handler:t=>{this.containerMouseEnterLeaveHandler(t,!1)},options:!0},touchstart:{handler:t=>{this.containerTouchStartHandler(t)},options:{passive:!1}},touchmove:{handler:t=>{this.containerTouchMoveHandler(t)},options:{passive:!1}},touchend:{handler:t=>{this.containerTouchEndHandler(t)},options:{passive:!1}},touchcancel:{handler:t=>{this.containerTouchCancelHandler(t)},options:{passive:!1}},wheel:{handler:t=>{this.containerWheelHandler(t)},options:{passive:!1}},click:{handler:t=>{this.containerClickHandler(t)},options:!0},dblclick:{handler:t=>{this.containerDblClickHandler(t)},options:!0},contextmenu:{handler:t=>{this.containerContextMenuHandler(t)},options:!0},selectstart:{handler:t=>{this.containerSelectStartHandler(t)},options:!0},keydown:{handler:t=>{this.containerKeyDownHandler(t)},options:!0}},d.bindEvents(this.containerEvents,this.container),this.columnWidthDrag=new O,this.columnWidthDrag.bind(O.EVENT.DRAG_START,((t,e)=>{this.columnWidthDragStartHandler(t,e)})).bind(O.EVENT.DRAG_MOVE,((t,e)=>{this.columnWidthDragMoveHandler(t,e)})).bind(O.EVENT.DRAG_END,((t,e)=>{this.columnWidthDragEndHandler(t,e)})),this.columnWidthTouch=new W,this.columnWidthTouch.bind(W.EVENT.TOUCH_START,((t,e)=>{this.columnWidthTouchStartHandler(t,e)})).bind(W.EVENT.TOUCH_MOVE,((t,e)=>{this.columnWidthTouchMoveHandler(t,e)})).bind(W.EVENT.TOUCH_END,((t,e)=>{this.columnWidthTouchEndHandler(t,e)})),this.rowDrag=new O,this.rowDrag.bind(O.EVENT.DRAG_START,((t,e)=>{this.rowDragStartHandler(t,e)})).bind(O.EVENT.DRAG_MOVE,((t,e)=>{this.rowDragMoveHandler(t,e)})).bind(O.EVENT.DRAG_END,((t,e)=>{this.rowDragEndHandler(t,e)})),this.rowTouch=new W,this.rowTouch.bind(W.EVENT.TOUCH_START,((t,e)=>{this.rowDragStartHandler(t,e)})).bind(W.EVENT.TOUCH_MOVE,((t,e)=>{this.rowDragMoveHandler(t,e)})).bind(W.EVENT.TOUCH_END,((t,e)=>{this.rowDragEndHandler(t,e)})),this.scrollTouch=new W,this.scrollTouch.bind(W.EVENT.TOUCH_START,((t,e)=>{this.scrollTouchStartHandler(t,e)})).bind(W.EVENT.TOUCH_MOVE,((t,e)=>{this.scrollTouchMoveHandler(t,e)})).bind(W.EVENT.TOUCH_END,((t,e)=>{this.scrollTouchEndHandler(t,e)})).bind(W.EVENT.TOUCH_INERTIA,((t,e)=>{this.scrollTouchInertiaHandler(t,e)}))},isDefaultPrevented:function(t){if(t){if(t.defaultPrevented)return!0;if(t.e&&t.e.defaultPrevented)return!0}return!1},getEventClosestNode:function(t,e){if(t&&t!==this.container)return t.classList.contains(e)?t:this.getEventClosestNode(t.parentNode,e)},getEventClosestData:function(t){if(!t||t===this.container)return;const e=this.getNodeDataCache(t);return e||this.getEventClosestData(t.parentNode)},getEventData:function(t){const e=this.getEventClosestData(t.target);if(e)return e.e=t,e},getWheelDelta:function(t,e,i){let o=t.deltaX,n=t.deltaY;return d.isNum(o)||(o=d.toNum(t.wheelDeltaX)),d.isNum(n)||(n=d.toNum(t.wheelDeltaY||t.wheelDelta)),1===t.deltaMode?(n*=e,o*=e):2===t.deltaMode&&(n*=i,o*=i),{deltaX:o,deltaY:n}},columnResizingMouseDownHandler:function(t){const e=this.getEventData(t);e&&this.columnWidthDrag.start(t,{columnItem:e.columnItem})},columnResizingTouchStartHandler:function(t){const e=this.getEventData(t);e&&this.columnWidthTouch.start(t,{columnItem:e.columnItem})},columnResizingMouseEnterLeaveHandler:function(t,e){const i=this.getEventData(t);i&&(e?this.showColumnLine(i.columnItem):this.hideColumnLine())},rowDragMouseDownHandler:function(t){const e=this.getEventData(t);e&&this.rowDrag.start(t,{rowItem:e.rowItem})},rowDragTouchStartHandler:function(t){const e=this.getEventData(t);e&&(this.protectedItem=e,this.rowTouch.start(t,{rowItem:e.rowItem}))},scrollPaneTouchStartHandler:function(t){if(!this.hasHScroll&&!this.hasVScroll)return;const e=this.getEventData(t);this.protectedItem=e,this.scrollTouch.start(t,{inertia:!0})},sortHandler:function(t,e){const i=e.columnItem;if(!this.isColumnSortable(i))return;const o=this.getEventClosestNode(t.target,"tg-column-name"),n=this.getEventClosestNode(t.target,"tg-column-sort");(o||n)&&(this.trigger(y.onSort,e),this.isDefaultPrevented(e)||this.setSortColumn(i))},selectIconAllClickHandler:function(t){const e=w(t);let i=!1;(e.hasClass("tg-selected")||e.hasClass("tg-mixed"))&&(i=!0),i=!i,this.selectAll(i)},cellEnterLeaveHandler:function(t,e){const i=this.getEventData(t);i&&(e?this.trigger(y.onCellMouseEnter,i):this.trigger(y.onCellMouseLeave,i))},rowEnterLeaveHandler:function(t,e){const i=this.getEventData(t);if(i&&(e?this.trigger(y.onRowMouseEnter,i):this.trigger(y.onRowMouseLeave,i),!this.isDefaultPrevented(i)))return this.renderRowHover(i.rowItem,e),this},containerMouseDownHandler:function(t){if(this.getEventClosestNode(t.target,"tg-column-resizing"))this.columnResizingMouseDownHandler(t);else if(this.options.rowDragVisible){this.getEventClosestNode(t.target,"tg-row-drag-icon")&&this.rowDragMouseDownHandler(t)}},containerMouseMoveHandler:function(t){this.scrollbarFadeInOutHandler(t,!0)},containerMouseOverOutHandler:function(t,e){const i=this.getEventClosestNode(t.target,"tg-cell"),o=this.getEventClosestNode(t.target,"tg-header-item");if(i||o){const i=this.getEventData(t);if(!i)return;e?this.trigger(y.onMouseOver,i):this.trigger(y.onMouseOut,i)}},containerMouseEnterLeaveHandler:function(t,e){this.scrollbarFadeInOutHandler(t,e);if(w(t.target).hasClass("tg-column-resizing"))return void this.columnResizingMouseEnterLeaveHandler(t,e);if(w(t.target).hasClass("tg-cell"))return void this.cellEnterLeaveHandler(t,e);w(t.target).hasClass("tg-row")&&this.rowEnterLeaveHandler(t,e)},containerTouchStartHandler:function(t){this.scrollTouch.motionStop();if(this.getEventClosestNode(t.target,"tg-column-resizing"))return void this.columnResizingTouchStartHandler(t);if(this.options.rowDragVisible){if(this.getEventClosestNode(t.target,"tg-row-drag-icon"))return void this.rowDragTouchStartHandler(t)}const e=this.getEventData(t);e&&(this.trigger(y.onTouchStart,e),this.isDefaultPrevented(e))||this.scrollPaneTouchStartHandler(t)},containerTouchMoveHandler:function(t){const e=this.getEventData(t);e&&this.trigger(y.onTouchMove,e)},containerTouchEndHandler:function(t){const e=this.getEventData(t);e&&this.trigger(y.onTouchEnd,e)},containerTouchCancelHandler:function(t){this.trigger(y.onTouchEnd,{e:t})},containerWheelHandler:function(t){if(this.hasMask)return;const e=this.getRowHeight(),i=this.bodyHeight,o=this.getWheelDelta(t,e,i),n={e:t,deltaX:o.deltaX,deltaY:o.deltaY,delta:o};if(this.trigger(y.onMouseWheel,n),this.isDefaultPrevented(n))return;let s=!1;this.scrollPaneHidden&&(s=this.scrollPaneFrozen.setOffsetH(o.deltaX),o.deltaX=0);(this.scrollPane.mouseWheelHandler(o)||s)&&d.preventDefault(t)},containerClickHandler:function(t){if(this.getEventClosestNode(t.target,"tg-tree-icon-all"))return void this.toggleAllRows();const e=this.getEventClosestNode(t.target,"tg-select-icon-all");if(e)return void this.selectIconAllClickHandler(e);const i=this.getEventData(t);if(!i)return;if(this.getEventClosestNode(t.target,"tg-header-item")){if(this.trigger(y.onClick,i),this.isDefaultPrevented(i))return;return void this.sortHandler(t,i)}if(this.getEventClosestNode(t.target,"tg-tree-icon"))return void this.toggleRow(i.rowItem);this.getEventClosestNode(t.target,"tg-select-icon")?this.setRowSelected(i.rowItem,t):this.trigger(y.onClick,i)},containerDblClickHandler:function(t){const e=this.getEventData(t)||{e:t};this.trigger(y.onDblClick,e)},containerContextMenuHandler:function(t){const e=this.getEventData(t)||{e:t};this.trigger(y.onContextMenu,e)},containerSelectStartHandler:function(t){if(this.options.textSelectable)return;w(t.target).is("input,textarea,code")||d.preventDefault(t)},containerKeyDownHandler:function(t){if(this.hasMask)return;const e={e:t};if(this.trigger(y.onKeyDown,e),this.isDefaultPrevented(e))return;const i=t.keyCode,o={9:this.keyTabHandler,13:this.keyEnterHandler,27:this.keyEscHandler,33:this.keyPageUpHandler,34:this.keyPageDownHandler,35:this.keyEndHandler,36:this.keyHomeHandler,37:this.keyLeftHandler,38:this.keyUpHandler,39:this.keyRightHandler,40:this.keyDownHandler}[i];if(!o)return;o.call(this,t)&&d.preventDefault(t)},unbindEvents:function(){d.unbindEvents(this.containerEvents),this.containerEvents=null,this.columnWidthDrag&&(this.columnWidthDrag.destroy(),this.columnWidthDrag=null),this.columnWidthTouch&&(this.columnWidthTouch.destroy(),this.columnWidthTouch=null),this.rowDrag&&(this.rowDrag.destroy(),this.rowDrag=null),this.rowTouch&&(this.rowTouch.destroy(),this.rowTouch=null),this.scrollTouch&&(this.scrollTouch.destroy(),this.scrollTouch=null),this.protectedItem=null}},G={exportData:function(t){const e=this.getData();return{columns:this.getTreeSnapshot(e.columns,t),rows:this.getTreeSnapshot(e.rows,t)}},isItemExportable:function(t){return!!t&&(!d.hasOwn(t,"exportable")||Boolean(t.exportable))},getTreeSnapshot:function(t,e){const i=(t,o)=>{d.isList(o)&&o.forEach((o=>{if(!this.isItemExportable(o))return;const n=this.getItemSnapshot(o,e),s=o.subs;Array.isArray(s)&&(n.subs=[],i(n.subs,s)),t.push(n)}))},o=[];return i(o,t),o},getItemSnapshot:function(t){let e=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};const i={};return Object.keys(t).forEach((o=>{!0!==e[o]?!1!==e[o]&&"subs"!==o&&0!==o.indexOf("tg_")&&(i[o]=t[o]):i[o]=t[o]})),i}},j={flushRow:function(t){d.toList(t).forEach((t=>{this.deleteRowCache(t)}))},flushRowFrom:function(t){d.isNum(t)&&(0!==t?this.forEachRowsCache((e=>{e>=t&&this.deleteRowCache(e)})):this.flushBody())},flushBody:function(){this.forEachRowsCache((t=>{this.deleteRowCache(t)}))},flushSort:function(){this.frozenInfo.rows?this.flushRowFrom(this.frozenInfo.rows):this.flushBody()},flushColumn:function(t){const e=d.toList(t);this.forEachRowsCache(((t,i,o,n)=>{e.forEach((t=>{this.deleteCellCache(t,o,n)}))}))},flushColumnFrom:function(t){d.isNum(t)&&this.forEachRowsCache(((e,i,o,n)=>{o.forEach(((e,i)=>{i>=t&&this.deleteCellCache(i,o,n)}))}))},flushCell:function(t,e){const i=d.toList(t),o=d.toList(e);i.forEach((t=>{const e=this.getRowCache(t);if(!e)return;const i=e.cellNodes,n=e.observerNodes;o.forEach((t=>{this.deleteCellCache(t,i,n)}))}))},flushWithViewport:function(){const{rows:t,columns:e}=this.viewport;this.forEachRowsCache(((i,o,n,s)=>{t.includes(i)?n.forEach(((t,i)=>{e.includes(i)||this.deleteCellCache(i,n,s)})):this.deleteRowCache(i)}))}},U={"sort-h":'\n<svg class="tg-icon-sort-h" pointer-events="none" viewBox="0 0 19 6">\n    <path class="tg-icon-item tg-icon-item-light tg-asc" fill="currentColor" d="M0 0h10l-5 6z" />\n    <path class="tg-icon-item tg-asc" fill="currentColor" d="M9 6h10l-5 -6z" />\n    <path class="tg-icon-item tg-desc" fill="currentColor" d="M0 0h10l-5 6z" />\n    <path class="tg-icon-item tg-icon-item-light tg-desc" fill="currentColor" d="M9 6h10l-5 -6z" />\n</svg>\n',"sort-v":'\n<svg class="tg-icon-sort-v" pointer-events="none" viewBox="0 0 10 16">\n    <path class="tg-icon-item tg-icon-item-light tg-asc" fill="currentColor" d="M0 9h10l-5 6z" />\n    <path class="tg-icon-item tg-asc" fill="currentColor" d="M0 7h10l-5 -6z" />\n    <path class="tg-icon-item tg-desc" fill="currentColor" d="M0 9h10l-5 6z" />\n    <path class="tg-icon-item tg-icon-item-light tg-desc" fill="currentColor" d="M0 7h10l-5 -6z" />\n</svg>\n',checkbox:'\n<svg class="tg-icon-checkbox" pointer-events="none" viewBox="0 0 16 16">\n    <path class="tg-checkbox-item tg-checkbox-none" fill="currentColor" d="M0,3 q0,-3 3,-3 h9 q3,0 3,3 v9 q0,3 -3,3 h-9 q-3,0 -3,-3 v-9 zM1,3,v9,q0,2 2,2,h9,q2,0 2,-2,v-9,q0,-2 -2,-2,h-9,q-2,0 -2,2,z" />\n    <path class="tg-checkbox-item tg-checkbox-selected" fill="currentColor" d="M0,3 q0,-3 3,-3 h9 q3,0 3,3 v9 q0,3 -3,3 h-9 q-3,0 -3,-3 v-9 zM12,2.5 l-6,8 l-3,-3 l-1,1 l4,4 l7,-9 z" />\n    <path class="tg-checkbox-item tg-checkbox-mixed" fill="currentColor" d="M0,3 q0,-3 3,-3 h9 q3,0 3,3 v9 q0,3 -3,3 h-9 q-3,0 -3,-3 v-9 zM2.5,7 v1 h10 v-1 h-10 z" />\n</svg>\n',radio:'<div class="tg-icon-radio"><div>',drag:'\n<svg class="tg-icon-row-drag" pointer-events="none" viewBox="0 0 32 32">\n    <path fill="currentColor" d="M10 6h4v4h-4zm8 0h4v4h-4zm-8 8h4v4h-4zm8 0h4v4h-4zm-8 8h4v4h-4zm8 0h4v4h-4z"/>\n</svg>\n',tree:'\n<svg class="tg-icon-tree" pointer-events="none" viewBox="0 0 20 20">\n    <path class="tg-tree-item tg-tree-collapsed" fill="currentColor" d="M0,0 l20,10 l-20,10 z" />\n    <path class="tg-tree-item tg-tree-expanded" fill="currentColor" d="M0,0 l10,20 l10,-20 z" />\n</svg>\n'},X={icons:U,getIcon:function(t){let e=U[t];return e=String(e).trim(),e}},Y={header:function(t,e,i,o){return t},null:function(t,e,i,o){return e&&e.tg_group?t:null==t?"—":t},blank:function(t,e,i,o){return""},string:function(t,e,i,o){return t},number:function(t,e,i,o){return t},icon:function(t,e,i,o){return`<span class="tg-symbols">${t}</span>`},select:function(t,e,i,o){return this.isRowSelectable(e)?this.getSelectFormatterContent(e):""},rowDrag:function(t,e,i,o){return this.getRowDragFormatterContent(e)},rowNumber:function(t,e,i,o){return e.tg_row_number||""},tree:function(t,e,i,o){return this.getTreeFormatterContent(t,e)}},K={setFormatter:function(t,e){this.renderType="all";let i=t;if("string"==typeof t){if(this.formatters)return this.formatters[t]=e,this;i={},i[t]=e}return this.customFormatters=i,this},getFormatter:function(t){if(!t)return;const e=this.formatters[t];return"function"==typeof e?e.bind(this):void 0},getDefaultFormatter:function(t){return(Y[t]||Y.string).bind(this)},getSelectFormatterContent:function(t){let e="radio";this.options.selectMultiple&&(e="checkbox");const i=X.getIcon(e);return`<div class="${d.classMap(["tg-select-icon",`tg-${e}`,{"tg-selected":t.selected}])}">${i}</div>`},getRowDragFormatterContent:function(t){if(t.tg_frozen)return"";return`<div class="tg-row-drag-icon">${X.getIcon("drag")}</div>`},getTreeIndentWidth:function(t,i,o){if(!t)return 0;let n=5;return i||(n+=e.TREE_INDENT),n+=o*e.TREE_INDENT,n},getTreeFormatterContent:function(t,e){const i=this.rowsInfo.isTree,o=e.tg_group,n=this.isEmptyGroup(e);n&&(e.collapsed=!0);const s=e.collapsed,r=d.toNum(e.tg_level),l=this.getTreeIndentWidth(i,o,r),h=[];if(h.push(`<div class="tg-tree" style="padding-left:${l}px;">`),o){const t={"tg-tree-icon":!0,"tg-tree-icon-collapsed":s,"tg-tree-icon-expanded":!s,"tg-tree-icon-empty":n},e=X.getIcon("tree"),i=`<div class="${d.classMap(t)}">${e}</div>`;h.push(i)}return h.push(`<div class="tg-tree-name">${t}</div>`),h.push("</div>"),h.join("")}},q={renderHeaderTables:function(){this.clearHeaderCache();const t=this.viewColumns,e=this.frozenInfo.columns;this.hasTreeColumn=!1,this.hasSortColumn=!1;let i=[],o=[];for(let n=0,s=t.length;n<s;n++){const s=t[n];this.isColumnSortable(s)&&(this.hasSortColumn=!0),e&&n>=e?o.push(s):i.push(s)}if(this.frozenInfo.right){const t=i;i=o,o=t}this.renderHeaderTable(i,this.$headerL),this.renderHeaderTable(o,this.$headerR)},renderHeaderTable:function(t,e){const i=document.createElement("div"),o=["tg-header-table"];this.hasSortColumn&&(o.push("tg-header-sortable"),o.push(`tg-header-sort-${this.options.sortIndicator}`)),i.className=d.classMap(o);const n=t.length;if(n){let e=t[n-1];e&&"tg-column-blank"===e.id&&(e=t[n-2]),t.forEach((t=>{this.renderHeaderItem(t,i,e)}))}e.append(i)},renderHeaderItem:function(t,e,i){const o=t.tg_view_index;if(this.getHeaderCache(o))return;const n=this.getHeaderItemClass(t,i),s=d.styleMap(t.headerStyleMap),r={column:o,class:n,data:t.id};s&&(r.style=s);const l=[this.createColumnHeader(t)];if(this.isColumnResizable(t)){const e=this.createColumnResizing(t);l.push(e)}const h=this.createElement("div",r,l);e.appendChild(h),this.setHeaderCache(o,h),this.setNodeDataCache(h,{rowItem:this.headerRowItem,column:o,columnItem:t,headerNode:h}),t.tg_parent&&this.renderHeaderItem(t.tg_parent,e)},createColumnHeader:function(t){const e={class:this.getHeaderClass(t),style:this.getHeaderStyle(t)},i=[this.createColumnName(t)];if(this.hasSortColumn&&!t.tg_group){const e=this.createColumnSort(t);i.push(e)}return this.createElement("div",e,i)},createColumnName:function(t){const e=["tg-column-name"];t.tg_group&&e.push("tg-header-group-name");const i={class:e.join(" ")};let o=t.name;const n=t.tg_headerFormatter;return"function"==typeof n&&(o=n.call(this,o,this.headerRowItem,t)),"tree"===t.formatter?o=this.createHeaderTreeName(o):t===this.selectColumn&&this.isSelectAllVisible()&&(o=this.createHeaderSelectName()),this.createElement("div",i,o)},createHeaderTreeName:function(t){this.hasTreeColumn=!0;const e=[];if(this.options.collapseAllVisible){const t=X.getIcon("tree"),i=this.createElement("div",{class:"tg-tree-icon tg-tree-icon-all"},t);e.push(i)}else{const t=this.createElement("div",{class:"tg-tree-icon"});e.push(t)}const i=this.createElement("div",{class:"tg-tree-name"},t);e.push(i);return this.createElement("div",{class:"tg-tree"},e)},createHeaderSelectName:function(){const t=X.getIcon("checkbox");return this.createElement("div",{class:"tg-select-icon-all tg-checkbox"},t)},createColumnSort:function(t){let e;return this.isColumnSortable(t)&&(e="h"===this.options.sortIndicator?this.createSortIndicatorH(t):this.createSortIndicatorV(t)),this.createElement("div",{class:"tg-column-sort"},e)},createSortIndicatorH:function(t){const e=X.getIcon("sort-h"),i=[this.createElement("div",{class:"tg-sort-indicator-line"}),this.createElement("div",{class:"tg-sort-indicator-icon"},e)];return this.createElement("div",{class:"tg-sort-indicator"},i)},createSortIndicatorV:function(t){const e=X.getIcon("sort-v"),i=[this.createElement("div",{class:"tg-sort-indicator-icon"},e)];return this.createElement("div",{class:"tg-sort-indicator"},i)},createColumnResizing:function(){return this.createElement("div",{class:"tg-column-resizing"})},getHeaderItemClass:function(t,e){const i=["tg-header-item"];return t.tg_group&&i.push("tg-header-group-item"),t===e&&i.push("tg-header-column-last"),i.push(`tg-c-${t.tg_view_index}`),i.push(`tg-h-${t.tg_layer}`),t.tg_combination&&i.push(`tg-h-${t.tg_combination}`),i.push(d.classMap(t.headerClassMap)),d.classMap(i)},getHeaderClass:function(t){const e=["tg-column-header"];return"tree"===t.formatter&&(e.push("tg-tree-header"),this.rowsInfo.isTree&&e.push("tg-tree-header-indent")),this.isColumnSortable(t)&&e.push(`tg-column-sortable tg-column-sort-${this.options.sortIndicator}`),t.align&&e.push(`tg-align-${t.align}`),e.join(" ")},getHeaderStyle:function(t){const e=[d.styleMap(t.headerStyleMap)],i=t.tg_width;return this.isInvisible(t)||i<=0?e.push("display:none;"):e.push(`width:${i}px;`),e.join("")}},J={renderHeader:function(){this.cssRulesInvalid=!0,this.$headerL.empty(),this.$headerR.empty(),this.resetCssDisplay(),this.renderHeaderTables(),this.renderHeaderSort(),this.headerCreated=!0,this.trigger(y.onHeaderUpdated,{node:this.$headerFrame.get(0)})},initHeaderLayerHeight:function(){this.updateScrollPaneHiddenState(),this.resetCssDisplay(),this.viewAllColumns.forEach((t=>{this.updateColumnHeaderHeight(t)})),this.resetCssDisplay("none"),this.updateHeaderLayerHeight()},updateHeaderLayerHeight:function(){const t={},e=this.columnsInfo.maxLevel;for(let i=0;i<=e;i++)t[i]=0;const i=[];this.viewAllColumns.forEach((function(e){if(e.tg_combination)i.push(e);else{const i=e.tg_height,o=e.tg_layer;t[o]=Math.max(t[o],i)}})),i.forEach((function(e){let i=e.tg_height;const o=e.tg_combination.split(""),n=o.pop();o.forEach((function(e){i-=t[e]||0})),t[n]=Math.max(t[n],i)}));const o=JSON.stringify(t);this.previousHeaderLayerHeight!==o&&(this.previousHeaderLayerHeight=o,this.headerLayerHeight=t,this.cssRulesInvalid=!0)}};var Q=i(915);const Z={create:function(t){this.id=d.uid(4,"tg-"),d.isObject(t)||(t={container:t}),this.constructorOptions=t,this.createCache(),this.createView(t.container)},createView:function(t){this.createHolder(t),this.$holder?(this.createGlobalStyle(),this.createContainer()):console.error("ERROR: Grid requires a container")},createHolder:function(t){const e=w(t);if(!e.length)return;this.$holder=e,this.$holder.empty(),this.holder=this.$holder.get(0);const i=this.holder.getRootNode();this.shadowRoot=null,i&&i.host&&(this.shadowRoot=i)},createGlobalStyle:function(){const t=this.shadowRoot||document.head;if(t.querySelector(`style[context="${e.ID}"]`))return;const i=document.createElement("style");i.setAttribute("context",e.ID),i.innerHTML=Q.A.toString(),t.appendChild(i)},createContainer:function(){return this.$container=w('<div 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tg-pane-top-right">\r\n            <div class="tg-scroll-view">\r\n                <div class="tg-scroll-body tg-body tg-body-top tg-body-right tg-body-top-right"></div>\r\n            </div>\r\n        </div>\r\n\r\n        <div class="tg-scroll-pane tg-pane tg-pane-bottom tg-pane-left tg-pane-bottom-left">\r\n            <div class="tg-scroll-view">\r\n                <div class="tg-scroll-body tg-body tg-body-bottom tg-body-left tg-body-bottom-left"></div>\r\n            </div>\r\n        </div>\r\n\r\n        <div class="tg-scroll-pane tg-pane tg-pane-bottom tg-pane-right tg-pane-bottom-right">\r\n            <div class="tg-scroll-view">\r\n                <div class="tg-scroll-body tg-body tg-body-bottom tg-body-right tg-body-bottom-right"></div>\r\n            </div>\r\n        </div>\r\n\r\n        <div class="tg-body-message"></div>\r\n\r\n    </div>\r\n\r\n    <div class="tg-column-line">\r\n        <div class="tg-column-line-item tg-column-line-l"></div>\r\n        <div class="tg-column-line-item tg-column-line-r"></div>\r\n    </div>\r\n\r\n    <div class="tg-mask"></div>\r\n\r\n    <div class="tg-loading">\r\n        <div class="tg-loading-default">\r\n            <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" pointer-events="none" width="100%" height="100%">\r\n                <path\r\n                    d="M1,8 A7 7 0 1 1 8 15"\r\n                    stroke="currentColor"\r\n                    stroke-width="2"\r\n                    stroke-linecap="round"\r\n                    fill="none"\r\n                />\r\n            </svg>\r\n        </div>\r\n    </div>\r\n\r\n</div>\r\n').appendTo(this.$holder),this.$container.attr("id",this.id),this.$container.addClass(`${e.NS} ${this.id}`),this.container=this.$container.get(0),d.setInstance(this.container,this),this.$headerFrame=this.$container.find(".tg-header-frame"),this.$paneHL=this.$headerFrame.find(".tg-pane-header-left"),this.$paneHR=this.$headerFrame.find(".tg-pane-header-right"),this.$headerL=this.$paneHL.find(".tg-header-left"),this.$headerR=this.$paneHR.find(".tg-header-right"),this.$header=w().add(this.$headerL).add(this.$headerR),this.$bodyFrame=this.$container.find(".tg-body-frame"),this.$paneTL=this.$bodyFrame.find(".tg-pane-top-left"),this.$paneTR=this.$bodyFrame.find(".tg-pane-top-right"),this.$paneBL=this.$bodyFrame.find(".tg-pane-bottom-left"),this.$paneBR=this.$bodyFrame.find(".tg-pane-bottom-right"),this.$bodyTL=this.$paneTL.find(".tg-body-top-left"),this.$bodyTR=this.$paneTR.find(".tg-body-top-right"),this.$bodyBL=this.$paneBL.find(".tg-body-bottom-left"),this.$bodyBR=this.$paneBR.find(".tg-body-bottom-right"),this.$body=w().add(this.$bodyTL).add(this.$bodyTR).add(this.$bodyBL).add(this.$bodyBR),this.$columnLineContainer=this.$container.find(".tg-column-line"),this.$columnLineItem=this.$columnLineContainer.find(".tg-column-line-item"),this.$columnLineItemL=this.$columnLineContainer.find(".tg-column-line-l"),this.$columnLineItemR=this.$columnLineContainer.find(".tg-column-line-r"),this}},tt={initColumnsHandler:function(){this.columns=this.data.columns,this.columns.forEach(((t,e)=>{t&&"object"==typeof t||(this.columns[e]={})}));const t=this.getPrivateColumns();this.columnsInfo=this.initTreeInfo(t,this.frozenInfo.column);const e=[],i=[],o=(t,n)=>{if(!d.isList(t))return;let s,r=0;t.forEach((t=>{if(!this.isInvisible(t))if(t.tg_group){if(this.isEmptyGroup(t))return;i.push(t),o(t.subs,t)}else t.tg_list_index=r,r+=1,t.tg_list_last=!1,s=t,e.push(t)})),s&&(s.tg_list_last=!0)};o(t),e.forEach((t=>{this.initColumnItemHandler(t)})),i.forEach((t=>{this.initColumnGroupHandler(t)}));const n=[].concat(e).concat(i);this.initViewList(n,((t,e)=>{})),this.viewColumns=e,this.viewGroupColumns=i,this.viewAllColumns=n,this.initHeaderHandler(t),this.initSortColumn()},getPrivateColumns:function(){const t=this.options;this.selectColumn=t.selectColumn,this.rowDragColumn=t.rowDragColumn,this.rowNumberColumn=t.rowNumberColumn,this.blankColumn=t.blankColumn;let e=[];const i=()=>{t.selectVisible&&e.push(this.selectColumn),t.rowDragVisible&&e.push(this.rowDragColumn),t.rowNumberVisible&&(this.rowNumberColumn.width=t.rowNumberWidth,e.push(this.rowNumberColumn))};if(this.frozenInfo.right){const t=this.frozenInfo.column;this.columns.forEach(((o,n)=>{e.push(o),n===t&&i()}))}else i(),e=e.concat(this.columns);return e.push(this.blankColumn),e},setColumns:function(t){this.data.columns=d.toList(t),this.rerender()},getColumns:function(){return this.columns},getViewColumns:function(t){return t?this.viewAllColumns:this.viewColumns},initColumnItemHandler:function(t){this.initColumnProps(t),this.initColumnFormatter(t),this.initColumnWidth(t)},initColumnGroupHandler:function(t){this.initColumnFormatterByName(t,"headerFormatter","header")},initColumnProps:function(t){const e=this.options.columnTypes;if(!d.hasOwn(t,"type")){const i=e[t.id];"string"==typeof i&&(t.type=i)}let i=this.options.columnProps;const o=e[t.type];o&&"object"==typeof o&&(i=d.merge(i,o));for(const e in i)d.hasOwn(t,e)||(t[e]=i[e])},initColumnFormatter:function(t){this.initColumnFormatterByName(t,"headerFormatter","header");let e=t.type;const i=t.formatter;"string"==typeof i&&(e=i),this.initColumnFormatterByName(t,"formatter",e)},initColumnFormatterByName:function(t,e,i){let o=t[e];"function"!=typeof o?(o=this.getFormatter(i),t[`tg_${e}`]=o||this.getFormatter("string")):t[`tg_${e}`]=o.bind(this)},initColumnWidth:function(t){if(t!==this.blankColumn)return d.isNum(t.width)&&t.width>=0?(t.tg_width=t.width,t.minWidth=Math.min(t.minWidth,t.tg_width),void(t.maxWidth=Math.max(t.maxWidth,t.tg_width))):void this.initColumnWidthByName(t);t.tg_width=0},initColumnWidthByName:function(t){const e=this.getComputedColumnWidth(t);d.isNum(e)&&(t.tg_width=e)},getComputedColumnWidth:function(t){const e=t.name||"",i=d.getCharLen(e);let o=Math.round(10*i);return o>103&&(o=Math.max(103,Math.round(10*i/2)),o>133&&(o=Math.max(133,Math.round(10*i/3)),o>163&&(o=Math.max(163,Math.round(10*i/4))))),d.clamp(o,t.minWidth,t.maxWidth)},initSortColumn:function(){this.sortColumn=null;const t=this.options,e=t.sortField;if(!e)return;const i=this.getColumnItemById(e);return i&&this.isColumnSortable(i)?(d.hasOwn(i,"sortAsc")||(i.sortAsc=t.sortAsc),this.sortColumn=i,this):void 0}},et={initHeaderHandler:function(t){this.initHeaderRowItem(),this.viewGroupColumns.reverse(),this.initGroupColumnsWidth(),this.initGroupColumnsLayer(t)},initHeaderRowItem:function(){this.headerRowItem={tg_index:-1,tg_view_index:-1},this.viewAllColumns.forEach((t=>{d.hasOwn(t,"id")&&(this.headerRowItem[t.id]=t.name)}))},initGroupColumnsWidth:function(){this.viewGroupColumns.forEach((t=>{let e=0;t.subs.forEach((t=>{this.isInvisible(t)||(e+=t.tg_width)})),t.tg_width=e}))},initGroupColumnsLayer:function(t){const e=this.columnsInfo.maxLevel;this.viewColumns.forEach((function(t){t.tg_layer=e,t.tg_parent&&(t.tg_parent.tg_layer=e-1)})),this.viewGroupColumns.forEach((function(t){const e=t.tg_layer,i=t.tg_parent;if(i){let t=e-1;d.isNum(i.tg_layer)&&(t=Math.min(t,i.tg_layer)),i.tg_layer=t}})),this.initColumnRowspanHandler(t,0)},initColumnRowspanHandler:function(t,e){t.forEach((t=>{const i=this.initColumnCombinationHandler(t,e);t.tg_group&&this.initColumnRowspanHandler(t.subs,e+i)}))},initColumnCombinationHandler:function(t,e){const i=[],o=t.tg_layer;for(;e<=o;)i.push(e),e+=1;i.reverse();const n=i.length;let s="";return n>1&&(s=i.join("")),t.tg_combination=s,n}},it={},ot={name:"",minWidth:81,maxWidth:300},nt=function(t){return null==t},st=function(t,e){const i=nt(t),o=nt(e);return i&&o?0:i?1:o?-1:void 0},rt=function(t,e){return t.tg_index>e.tg_index?1:-1},lt=function(t,e){return rt(t,e)},ht=function(t,e){if("string"==typeof t&&"string"==typeof e){const 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e=d.toNum(t.frozenColumn,!0);e=d.clamp(e,-1,t.frozenColumnMax),e>-1&&!this.frozenInfo.right&&(t.selectVisible&&(e+=1),t.rowDragVisible&&(e+=1),t.rowNumberVisible&&(e+=1)),this.frozenInfo.column=e,e>-1?this.frozenInfo.columns=e+1:(this.frozenInfo.columns=0,this.frozenInfo.right=!1);let i=d.toNum(t.frozenRow,!0);i=d.clamp(i,-1,t.frozenRowMax),this.frozenInfo.row=i,i>-1?this.frozenInfo.rows=i+1:(this.frozenInfo.rows=0,this.frozenInfo.bottom=!1)},initOptionsScrollbar:function(){const t=this.options;("auto"===t.scrollbarType&&d.isTouchDevice()||["touch","mobile"].includes(t.scrollbarType))&&(t.scrollbarFade=!0,t.scrollbarSize=6,t.scrollbarRound=!0);const e=d.toNum(t.scrollbarSize);this.scrollbarSizeH=e,d.isNum(t.scrollbarSizeH)&&(this.scrollbarSizeH=t.scrollbarSizeH),this.scrollbarSizeV=e,d.isNum(t.scrollbarSizeV)&&(this.scrollbarSizeV=t.scrollbarSizeV)},initOptionsContainer:function(){this.$container.attr("id",this.id);const t=this.options;this.$container.removeClass();const i=[e.NS,this.id,`tg-${t.theme}`,t.className];t.textSelectable||i.push("tg-text-unselectable"),d.isTouchDevice()&&i.push("tg-touch-device"),this.$container.addClass(d.classMap(i))},setTextSelectable:function(t){this.options.textSelectable&&(t?this.$container.removeClass("tg-text-unselectable"):this.$container.addClass("tg-text-unselectable"))}},mt={initBindWindowResize:function(){this.unbindWindowResize(),this.options.bindWindowResize&&(this.windowResizeEvents={resize:{handler:t=>{this.resize()}}},d.bindEvents(this.windowResizeEvents,window))},unbindWindowResize:function(){d.unbindEvents(this.windowResizeEvents)},createResizeObserver:function(t){if("undefined"==typeof ResizeObserver)return console.error("ERROR: This browser does not support ResizeObserver"),{observe:()=>{},unobserve:()=>{},disconnect:()=>{}};return new ResizeObserver((e=>{t.call(this,e)}))},initBindContainerResize:function(){this.unbindContainerResize(),this.options.bindContainerResize&&this.holder&&(this.resizeObserver=this.createResizeObserver((t=>{Boolean(this.holder.offsetWidth||this.holder.offsetHeight||this.holder.getClientRects().length)&&this.resize()})),this.resizeObserver.observe(this.holder))},unbindContainerResize:function(){this.resizeObserver&&(this.resizeObserver.disconnect(),this.resizeObserver=null)}},bt={initRowsHandler:function(){this.rows=this.data.rows,this.rowsInfo=this.initTreeInfo(this.rows,this.frozenInfo.row)},getRows:function(){return this.rows},getViewRows:function(){return this.viewRows},createViewRows:function(){this.initRowFilterHandler();const t=[],e=this.getRowNumberFilter();let i=1;const o=(t,o)=>{if(e.call(this,t,o))return t.tg_row_number=i,void(i+=1);t.tg_row_number=""},n=(e,i,s)=>{if(!d.isList(e))return;let 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t.tg_parent?t.tg_parent.subs:this.rows}},wt={initHandler:function(){this.reset(),this.initOptionsHandler(),this.initColumnsHandler(),this.initRowsHandler(),this.initSortOnInitHandler(),this.initSelectAllOnInitHandler(),this.initCollapseAllOnInitHandler(),this.initScrollPane(),this.bindEvents()},updateViewRowsAndSize:function(){return this.createViewRows(),this.renderCollapseAllState(),this.renderSelectAllState(),this.resizeHandler(),this},initSortOnInitHandler:function(){this.options.sortOnInit&&this.updateRowsSort()},initSelectAllOnInitHandler:function(){if(this.globalSelectedIndex=0,!this.options.selectMultiple){let t;return void this.forEachSelectableRow((e=>{if(e.selected){if(t)return void(e.selected=!1);t=e}}))}const t=this.options.selectAllOnInit;!0!==t?!1===t&&this.updateAllRowsSelected(!1):this.updateAllRowsSelected(!0)},updateAllRowsSelected:function(t){this.forEachSelectableRow((e=>{e.selected=t}))},initCollapseAllOnInitHandler:function(){const t=this.options.collapseAllOnInit;!0!==t?!1===t&&this.updateAllRowsCollapsed(!1):this.updateAllRowsCollapsed(!0)},getToBeAddedItemList:function(t){const e=[];return d.toList(t).forEach((t=>{t&&"object"==typeof t?e.push(t):void 0!==t&&e.push({name:t})})),e},getToBeAddedParentSubs:function(t,e){return t?(t.subs||(t.subs=[]),t.subs):e},getToBeAddedPositionIndex:function(t,e){const i=e.length;return d.isNum(t)&&t>=0&&t<=i?Math.round(t):i},generateDataSnapshot:function(t){if(!t||"object"!=typeof t)return t;const e=this.cleanTreeList(t.rows),i=this.cleanTreeList(t.columns);return this.convertNumberType(e,i),t.rows=e,t.columns=i,t},cleanTreeList:function(t){if(!d.isList(t))return[];const e=(t,i)=>{i.forEach((i=>{if(!i||"object"!=typeof i)return void t.push({});const o=this.getItemSnapshot(i),n=i.subs;Array.isArray(n)&&(o.subs=[],e(o.subs,n)),t.push(o)}))},i=[];return e(i,t),i},convertNumberType:function(t,e){const 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t&&(t=t.call(this,e)),d.isObject(t)&&(t=this.getDefaultLoading(t)),t||(t=this.getDefaultLoading()),this.renderNodeContent(e,t),this},showLoading:function(){return this.getLoadingHolder().show(),this},hideLoading:function(){return this.getLoadingHolder().hide(),this}},Ht={showMask:function(t){if(!this.hasMask||t){const e=this.$container.find(".tg-mask"),i=e.get(0);if(t&&i){const e=d.styleMap(t);e&&(i.style.cssText=e)}e.show(),this.hasMask=!0}return this},hideMask:function(){return this.hasMask&&(this.$container.find(".tg-mask").hide(),this.hasMask=!1),this}},Ct={renderNodeContent:function(t,e){if(t){if(e&&e.nodeType)return this.emptyNode(t),void t.appendChild(e);if(Array.isArray(e))return this.emptyNode(t),void e.forEach((e=>{e&&e.nodeType&&t.appendChild(e)}));void 0===e&&(e=""),t.innerHTML=e}},emptyNode:function(t){if(t)for(;t.firstChild;)t.removeChild(t.firstChild)},removeNode:function(t){t&&t.parentNode&&t.parentNode.removeChild(t)},appendNode:function(t,e){t&&e&&t.appendChild(e)},createElement:function(t,e,i){const o=document.createElement(t);e&&Object.keys(e).forEach((function(t){const i=e[t];void 0!==i&&o.setAttribute(t,i)})),d.isArray(i)||(i=[i]);let n="";return i.forEach((function(t){t&&t.nodeType?o.appendChild(t):void 0!==t&&(n+=t)})),n&&(o.innerHTML=n),o},find:function(t,e){return w(e||this.$container).find(t)},getRowNodes:function(t){const e=this.getRowItem(t);if(e)return this.getRowNodesByIndex(e.tg_view_index)},getCellNode:function(t,e){const i=this.getRowItem(t);if(!i)return;const o=this.getColumnItem(e);return o?this.getCellNodeByIndex(i.tg_view_index,o.tg_view_index):void 0},getHeaderItemNode:function(t){const e=this.getColumnItem(t);if(e)return this.getHeaderCache(e.tg_view_index)},getColumnHeaderNode:function(t){const e=this.getHeaderItemNode(t);if(e)return e.querySelector(".tg-column-header")}},yt={render:function(){this.asyncRender||(this.asyncRender=d.microtask(this.renderSync)),this.asyncRender.apply(this,arguments)},renderSync:function(){this.renderStartedTimestamp=Date.now();const t=this.generateRenderSettings.apply(this,arguments);return this.renderSettings=t,"all"===t.type?(this.flushBody(),this.initHandler(),this.renderHeader(),this.updateViewRowsAndSize(),this.renderBody(),this):"columns"===t.type?(this.flushBody(),this.initColumnsHandler(),this.renderHeader(),this.updateViewRowsAndSize(),this.renderBody(),this):"rows"===t.type?(this.updateViewRowsAndSize(),this.renderBody(),this):"rows_cache"===t.type?(this.cssRulesInvalid=!0,this.updateViewRowsAndSize(),this.updateRowCacheTopAndHeight(),this.renderBody(),this):"resize"===t.type?(this.resizeHandler(),this.renderBody(),this):(this.renderBody(),this)},generateRenderSettings:function(t){const e={type:this.renderType,scrollLeft:null,scrollTop:null,scrollColumn:null,scrollRow:null,highlightCells:[]};return"string"==typeof t?e.type=t:t&&Object.assign(e,t),this.headerCreated||(e.type="all"),e},renderBody:function(){this.scrollOnInit(),this.scrollTopOffset=this.scrollPane.getScrollTopOffset();const t=this.getViewport();return this.viewport=t,this.flushWithViewport(),this.previousScrollTopOffset!==this.scrollTopOffset&&(this.previousScrollTopOffset=this.scrollTopOffset,this.updateRowCacheTopOffset()),this.renderRows(t.rows),this.renderCells(t.rows,t.columns),this.renderUpdatedTimestamp=Date.now(),this.renderDuration=this.renderUpdatedTimestamp-this.renderStartedTimestamp,this.trigger(y.onUpdated,t),this.firstUpdated||(this.firstUpdated=!0,this.trigger(y.onFirstUpdated,t)),this.layoutEventHandler(),this.resizeEventHandler(),this.highlightKeywordsHandler(),this.renderSettings=null,this.renderType=null,this},rerender:function(){return this.render("all"),this}},Rt={resize:function(){return this.asyncResize||(this.asyncResize=d.throttle(this.resizeSync,100)),this.asyncResize.apply(this,arguments),this},resizeSync:function(){return this.headerCreated?(this.resizeHolderHandler.apply(this,arguments),this.firstUpdated&&this.isHolderInvisible()||this.render("resize"),this):this},resizeHolderHandler(t,e){if(0!==arguments.length)return 1===arguments.length?t&&"object"==typeof t?void this.$holder.css(t):void this.$holder.css({width:t}):void this.$holder.css({width:t,height:e})},isHolderInvisible(){const t=this.$holder.width(),e=this.$holder.height();return!t||!e},resizeHandler:function(){this.containerWidth=this.$container.width(),this.containerHeight=this.$container.height(),this.headerWidth=this.containerWidth,this.bodyWidth=this.containerWidth,this.updateTotalColumnsWidth(),this.resizeHeaderHandler(),this.resizeBodyHandler()},layoutEventHandler:function(){const t=this.previousLayout||{},e={headerWidth:this.headerWidth,headerHeight:this.headerHeight,bodyWidth:this.bodyWidth,bodyHeight:this.bodyHeight,scrollbarWidth:this.getScrollbarWidth(),scrollbarHeight:this.getScrollbarHeight()};Object.values(e).join("")!==Object.values(t).join("")&&(this.previousLayout=e,this.trigger(y.onLayout,d.merge({previous:t},e)))},resizeEventHandler:function(){const t=this.previousSize||{},e={width:this.containerWidth,height:this.containerHeight};Object.values(e).join("")!==Object.values(t).join("")&&(this.previousSize=e,this.trigger(y.onResize,d.merge({previous:t},e)))},resizeHeaderHandler:function(){this.initHeaderLayerHeight();const t=this.options;t.autoHeight&&this.viewRows.length>5e3&&(t.autoHeight=!1),this.headerHeight=0,t.headerVisible&&(this.containerHeight>0||t.autoHeight)&&this.updateHeaderTableHeight(),this.$headerFrame.css({width:this.headerWidth,height:this.headerHeight})},updateHeaderTableHeight:function(){let t=0;Object.keys(this.headerLayerHeight).forEach((e=>{t+=this.headerLayerHeight[e]}));const e=this.$headerL.find(".tg-header-table"),i=this.$headerR.find(".tg-header-table");e.css({height:t}),i.css({height:t}),this.headerHeight=t},resizeBodyHandler:function(){this.updateScrollState(),this.bodyHeight=this.containerHeight-this.headerHeight,this.$bodyFrame.css({width:this.bodyWidth,height:this.bodyHeight}),this.updatePaneWidth(),this.updatePaneHeight(),this.updateCanvasWidth(),this.updateCanvasHeight(),this.updateScrollPane(),this.updateCssRules()},updatePaneWidth:function(){let t=this.bodyWidth,e=0;if(this.frozenInfo.columns){const i=this.getScrollbarWidth();this.frozenInfo.right?(e=this.columnsWidthR+i,t=this.bodyWidth-e):(t=this.columnsWidthL,e=this.bodyWidth-t),this.scrollPaneHidden&&(this.frozenInfo.right?(t<=0&&(t=0),e=Math.max(0,this.bodyWidth-t)):(e<i&&(e=i),t=Math.max(0,this.bodyWidth-e)))}this.paneWidthL=t,this.paneWidthR=e,this.$paneHL.css({left:0,width:this.paneWidthL}),this.$paneHR.css({left:this.paneWidthL,width:this.paneWidthR}),this.$paneTL.css({left:0,width:this.paneWidthL}),this.$paneTR.css({left:this.paneWidthL,width:this.paneWidthR}),this.$paneBL.css({left:0,width:this.paneWidthL}),this.$paneBR.css({left:this.paneWidthL,width:this.paneWidthR})},updatePaneHeight:function(){let t=this.bodyHeight,e=0;if(this.frozenInfo.rows)if(this.frozenInfo.bottom){const i=this.getScrollbarHeight();t=this.bodyHeight-this.frozenRowsHeight-i,e=this.frozenRowsHeight+i}else t=this.frozenRowsHeight,e=this.bodyHeight-this.frozenRowsHeight;this.paneHeightT=t,this.paneHeightB=e,this.$paneTL.css({top:0,height:this.paneHeightT}),this.$paneTR.css({top:0,height:this.paneHeightT}),this.$paneBL.css({top:this.paneHeightT,height:this.paneHeightB}),this.$paneBR.css({top:this.paneHeightT,height:this.paneHeightB})},updateCanvasWidth:function(){const t=this.columnsWidthL,e=this.columnsWidthR;this.bodyWidthChanged=!1,t===this.bodyWidthL&&e===this.bodyWidthR||(this.bodyWidthL=t,this.bodyWidthR=e,this.bodyWidthChanged=!0,this.cssRulesInvalid=!0),(this.bodyWidthChanged||this.scrollStateChanged)&&(this.updateHeaderCanvasWidth(),this.updateBodyCanvasWidth())},updateCanvasHeight:function(){let t,e;this.frozenInfo.rows?this.frozenInfo.bottom?(t=this.scrollRowsHeight,e=this.frozenRowsHeight):(t=this.frozenRowsHeight,e=this.scrollRowsHeight):(t=this.totalRowsHeight,e=0),this.bodyHeightT=t,this.bodyHeightB=e,this.updateBodyCanvasHeight()},updateHeaderCanvasWidth:function(){const t=this.maxLimitSize(this.bodyWidthL),e=this.maxLimitSize(this.bodyWidthR);this.$headerL.width(t),this.$headerR.width(e)},updateBodyCanvasWidth:function(){const t=this.maxLimitSize(this.bodyWidthL),e=this.maxLimitSize(this.bodyWidthR);this.$bodyTL.width(t),this.$bodyBL.width(t),this.$bodyTR.width(e),this.$bodyBR.width(e)},updateBodyCanvasHeight:function(){const t=this.maxLimitSize(this.bodyHeightT),e=this.maxLimitSize(this.bodyHeightB);this.$bodyTL.height(t),this.$bodyTR.height(t),this.$bodyBL.height(e),this.$bodyBR.height(e)},maxLimitSize:function(t){return t=Math.min(t,1533e3)}},St={addRow:function(t,e,i){let o=!(arguments.length>3&&void 0!==arguments[3])||arguments[3];const n=this.getToBeAddedItemList(t);if(!n.length)return!1;let s;if(null!=e&&(s=this.getRowItem(e),!s))return!1;const r=this.getToBeAddedParentSubs(s,this.rows),l=this.getToBeAddedPositionIndex(i,r),h=[l,0].concat(n);r.splice.apply(r,h),this.initRowsHandler(),s?(s.collapsed=!1,this.flushRowFrom(s.tg_view_index+l)):this.flushRowFrom(l),this.onNextUpdated((function(){this.trigger(y.onRowAdded,n)}));const a={type:"rows"};return o&&(a.scrollRow=n[n.length-1]),this.render(a),!0},deleteRow:function(t){const e=d.toList(t),i=[];if(e.forEach((t=>{const e=this.getRowItem(t);e&&i.push(e)})),!i.length)return!1;const o=this.removeRowsHandler(i);this.initRowsHandler();const n=this.getRemovedMinIndex(o);return this.flushRowFrom(n),this.onNextUpdated((function(){this.trigger(y.onRowRemoved,i)})),this.render("rows"),!0},getRemovedMinIndex:function(t){let e=0;const i=t[t.length-1];if(this.isInvisible(i))return e;e=i.tg_view_index,e>0&&(e-=1);let o=i.tg_parent;for(;o;)o.collapsed&&(e=o.tg_view_index),o=o.tg_parent;return e},removeRowsHandler:function(t){const e=[].concat(t);e.sort((function(t,e){return e.tg_index-t.tg_index}));const i=[];return e.forEach((t=>{this.getRowParentSubs(t).splice(t.tg_sub_index,1),i.push(t)})),i}},Tt={renderCollapseAllState:function(){this.hasTreeColumn&&(this.asyncRenderCollapseAllState||(this.asyncRenderCollapseAllState=d.microtask(this.renderCollapseAllStateSync)),this.asyncRenderCollapseAllState.apply(this,arguments))},renderCollapseAllStateSync:function(){const t=this.$header.find(".tg-tree-header");this.rowsInfo.isTree?t.addClass("tg-tree-header-indent"):t.removeClass("tg-tree-header-indent"),this.renderCollapseAllIcon()},checkCollapseAllState:function(t){if(t!==this.allRowsCollapsed){if(t){let t=0;const e=this.rows.length;for(;t<e;){const e=this.rows[t];if(e.tg_group&&!e.collapsed)return;t++}}else{let t=!1;if(this.forEachRow((e=>{if(e.tg_group&&e.tg_subs_length&&e.collapsed)return t=!0,!1})),t)return}this.allRowsCollapsed=t,this.renderCollapseAllIcon()}},expandAllRows:function(){return this.renderAllRowsCollapsed(!1)},collapseAllRows:function(){return this.renderAllRowsCollapsed(!0)},toggleAllRows:function(){return this.allRowsCollapsed?this.expandAllRows():this.collapseAllRows()},renderAllRowsCollapsed:function(t){const e=this.updateAllRowsCollapsed(t);return e.length?(this.flushBody(),this.onNextUpdated((()=>{this.renderCollapseAllIcon(),t?this.trigger(y.onRowCollapsed,e):this.trigger(y.onRowExpanded,e)})),this.render("rows"),this):this},updateAllRowsCollapsed:function(t){this.allRowsCollapsed=t;const e=[];return this.forEachRow((i=>{i.subs&&i.tg_subs_length&&this.isCollapsedChanged(i,t)&&(i.collapsed=t,e.push(i))})),e},expandRow:function(t){const e=this.getRowItem(t);return e?this.isEmptyGroup(e)?(this.trigger(y.onRowSubsRequest,e),this):this.isCollapsedChanged(e,!1)?(e.collapsed=!1,this.flushRowFrom(e.tg_view_index),this.renderCollapseIcon(e),this.onNextUpdated((()=>{this.checkCollapseAllState(!1),this.trigger(y.onRowExpanded,e)})),this.render("rows"),this):this:this},collapseRow:function(t){const e=this.getRowItem(t);return e&&e.subs&&e.tg_subs_length&&this.isCollapsedChanged(e,!0)?(e.collapsed=!0,this.flushRowFrom(e.tg_view_index),this.renderCollapseIcon(e),this.onNextUpdated((()=>{this.checkCollapseAllState(!0),this.trigger(y.onRowCollapsed,e)})),this.render("rows"),this):this},toggleRow:function(t){const e=this.getRowItem(t);return e?(e.collapsed?this.expandRow(e):this.collapseRow(e),this):this},expandRowLevel:function(t){t=d.toNum(t,!0);const e=[],i=[];return this.forEachRow((o=>{o.subs&&o.tg_subs_length&&(o.tg_level<=t?this.isCollapsedChanged(o,!1)&&(o.collapsed=!1,i.push(o)):this.isCollapsedChanged(o,!0)&&(o.collapsed=!0,e.push(o)))})),e.length||i.length?(this.flushBody(),this.onNextUpdated((()=>{e.length&&this.trigger(y.onRowCollapsed,e),i.length&&this.trigger(y.onRowExpanded,i)})),this.render("rows"),this):this},renderCollapseAllIcon:function(){if(!this.options.collapseAllVisible||!this.hasTreeColumn)return;const t=this.$header.find(".tg-tree-icon-all");this.renderTreeIcon(t,this.allRowsCollapsed)},renderCollapseIcon:function(t){if(!this.headerCreated)return;const e=this.getRowNodesByIndex(t.tg_view_index);if(!e)return;const i=e.find(".tg-tree-icon");this.renderTreeIcon(i,t.collapsed)},renderTreeIcon:function(t,e){t&&(e?t.removeClass("tg-tree-icon-expanded").addClass("tg-tree-icon-collapsed"):t.removeClass("tg-tree-icon-collapsed").addClass("tg-tree-icon-expanded"))}},Et={rowDragStartHandler:function(t,e){this.removeSortColumn();const i=e.rowItem;if(!i)return;const o=this.getRowNodesByIndex(i.tg_view_index);if(!o)return;e.dragCloneNodes=this.getRowDragCloneNodes(o),e.dropPlaceholder=this.getRowDropPlaceholder(o),e.dragStartTop=this.getRowTop(i),e.dragRowHeight=this.getRowHeight(i),e.dragStartScrollTop=this.scrollTop,e.dragMaxScrollTop=this.scrollPane.getMaxScrollTop();const n={e:t,rowItem:i};this.trigger(y.onRowDragged,n),this.isDefaultPrevented(n)||("touch"===e.type&&d.preventDefault(e.e),this.setRowState(i,"dragging"),this.setTextSelectable(!1),this.rowDropListHandler(e),this.updateDragCloneRowPosition(e))},rowDragMoveHandler:function(t,e){"touch"===e.type&&d.preventDefault(e.e),this.updateDragCloneRowPosition(e),this.updateDragPlaceholderPosition(e),this.rowDragAutoScrollHandler(e)},rowDragEndHandler:function(t,e){"touch"===e.type&&(this.protectedItem=null,d.preventDefault(e.e)),this.autoScrollStop(),this.setRowState(e.rowItem,"dragging",!1),this.setTextSelectable(!0),e.dragCloneNodes&&(e.dragCloneNodes.remove(),e.dragCloneNodes=null),e.dropPlaceholder&&(e.dropPlaceholder.remove(),e.dropPlaceholder=null),e.changed&&this.rowDropHandler(e)},updateDragCloneRowPosition:function(t){const e=this.scrollTop-t.dragStartScrollTop,i=t.dragStartTop+t.offsetY+e,o=i-this.scrollTopOffset;t.dragCloneNodes&&t.dragCloneNodes.css("top",o).show(),t.dragCurrentPosition=i+.5*t.dragRowHeight},getRowDragCloneNodes:function(t){const e=w();return t.each((function(t){const i=w(t),o=i.clone();o.appendTo(i.parent()),e.add(o)})),e.addClass("tg-clone").hide(),e},getRowDropPlaceholder:function(t){const e=w();return t.each((function(t){const i=w(t),o=w("<div/>").addClass("tg-row-placeholder").hide(),n=i.parent();n.find(".tg-row-placeholder").remove(),o.appendTo(n),e.add(o)})),e},updateDragPlaceholderPosition:function(t){this.rowDropItemHandler(t);const e=t.dropItem;if(!e)return;let i=t.dropPosition-1;t.dropBottom?e.tg_view_last&&(i=t.dropPosition-2):e.tg_view_index-this.frozenInfo.rows==0&&(i=t.dropPosition);const o=i-this.scrollTopOffset;t.dropPlaceholder&&t.dropPlaceholder.css("top",o).show()},rowDragAutoScrollHandler:function(t){const e=t.dragCurrentPosition,i=this.scrollTop,o=this.bodyHeight-this.frozenRowsHeight,n=i+o,s=this.options.rowHeight,r=Math.min(3*s,.5*o);if(!(r<s))if(t.offsetY<0){if(e<i+r){const o=e-(i+r),n=this.getAutoScrollOffset(o,r);return void this.autoScrollStart(n,t)}this.autoScrollStop()}else if(e>n-r){const i=e-(n-r),o=this.getAutoScrollOffset(i,r);this.autoScrollStart(o,t)}else this.autoScrollStop()},getAutoScrollOffset:function(t,e){return Math.floor(t/e*20)},autoScrollStop:function(){this.autoScrollMotion&&(this.autoScrollMotion.destroy(),this.autoScrollMotion=null)},autoScrollStart:function(t,e){this.autoScrollStop();const i=e.dragMaxScrollTop;this.autoScrollMotion=new B,this.autoScrollMotion.bind(B.EVENT.MOTION_MOVE,(()=>{const o=d.clamp(this.scrollTop+t,0,i);o!==this.scrollTop?(this.setScrollTop(o),this.updateDragCloneRowPosition(e),this.updateDragPlaceholderPosition(e)):this.autoScrollStop()})),this.autoScrollMotion.once(B.EVENT.MOTION_END,(()=>{this.autoScrollStart(t,e)})),this.autoScrollMotion.start({duration:200})},rowDropListHandler:function(t){const e=this.getRowDropList(t);if(!d.isList(e))return;const i=t.rowItem,o=e.filter((t=>{if(t===i)return!1;if(t.tg_frozen)return!1;let e=t.tg_parent;for(;e;){if(e===i)return!1;e=e.tg_parent}return!0}));if(!d.isList(o))return;const n=[];o.forEach((t=>{const e=this.getRowTop(t),i=this.getRowHeight(t);n.push({rowItem:t,position:e}),n.push({rowItem:t,position:e+i-1,dropBottom:!0})})),t.dropList=n},getRowDropList:function(t){const e=this.options.rowDragCrossLevel;return e?"function"==typeof e?e.call(this,t):this.viewRows:this.getRowParentSubs(t.rowItem)},rowDropItemHandler:function(t){const e=t.dropList;if(!e)return;const i=t.dragCurrentPosition;let o=Number.MAX_VALUE;for(let n=0,s=e.length;n<s;n++){const s=e[n],r=Math.abs(i-s.position);if(r>o)break;o=r,t.dropItem=s.rowItem,t.dropBottom=s.dropBottom,t.dropPosition=s.position}},rowDragDropPositionHandler:function(t,e,i){const o=this.getRowParentSubs(t),n=t.tg_sub_index;let s,r;return this.isDropIntoGroupFirstChild(e,i)?(s=e.subs,r=0):(s=this.getRowParentSubs(e),r=e.tg_sub_index,o===s&&n<r&&(r-=1),i&&(r+=1)),this.updateDragDropPosition(o,s,n,r,t)},isDropIntoGroupFirstChild:function(t,e){return!!e&&(!!t.tg_group&&(this.isEmptyGroup(t)?(t.collapsed=!1,!0):!t.collapsed))},updateDragDropPosition:function(t,e,i,o,n){if(t!==e||i!==o)return t.splice(i,1),e.splice(o,0,n),{rowItem:n,dragFrom:t,dragIndex:i,dropInto:e,dropIndex:o}},rowDropHandler:function(t){const e=t.dropItem;if(!e)return;const i=t.rowItem,o=t.dropBottom,n=this.rowDragDropPositionHandler(i,e,o);if(!n)return;this.initRowsHandler();let s=Math.min(i.tg_view_index,e.tg_view_index);s&&(s-=1),this.flushRowFrom(s),this.removeSortColumn(),this.onNextUpdated((()=>{this.trigger(y.onRowDropped,n)})),this.render({type:"rows",scrollRow:i})}},It={getMoveFocusRow:function(t,e){let i=t[0];return e>0&&(i=t[t.length-1]),i},getMoveLengthInList:function(t,e){let i=0;return t.forEach((t=>{this.getRowParentSubs(t)===e&&(i+=1)})),i},getMoveInfo:function(t,e,i){const o=this.getRowParentSubs(i);let n=i.tg_sub_index+e;const s=i.tg_parent;if(s&&this.options.rowMoveCrossLevel){const e=0,i=s.tg_subs_length-1;if(n<e){const e=n+1;return this.getMoveInfo(t,e,s)}if(n>i){const e=n-i;return this.getMoveInfo(t,e,s)}}if(e>0){n-=this.getMoveLengthInList(t,o)-1}return n=d.clamp(n,0,o.length),{list:o,index:n}},moveRowsHandler:function(t,e){(t=this.removeRowsHandler(t)).reverse();const i=this.getMoveFocusRow(t,e),o=this.getMoveInfo(t,e,i),n=[o.index,0].concat(t);return o.list.splice.apply(o.list,n),this.initRowsHandler(),this.onNextUpdated((function(){this.scrollRowIntoView(i),this.trigger(y.onRowMoved,t)})),this.removeSortColumn(),this.update(),!0},moveRows:function(t,e){t=d.toList(t);const i=[];return t.forEach((t=>{const e=this.getRowItem(t);e&&i.push(e)})),!!i.length&&(!(i.length>=this.getRowsLength())&&(0!==(e=d.toNum(e,!0))&&this.moveRowsHandler(i,e)))},moveRowsUp:function(t){return this.moveRows(t,-1)},moveRowsDown:function(t){return this.moveRows(t,1)},moveRowsToTop:function(t){return this.moveRows(t,-this.getRowsLength(!0))},moveRowsToBottom:function(t){return this.moveRows(t,this.getRowsLength(!0))},moveSelectedRowsUp:function(){return this.moveRows(this.getSelectedRows(),-1)},moveSelectedRowsDown:function(){return this.moveRows(this.getSelectedRows(),1)},moveSelectedRowsToTop:function(){return this.moveRows(this.getSelectedRows(),-this.getRowsLength(!0))},moveSelectedRowsToBottom:function(){return this.moveRows(this.getSelectedRows(),this.getRowsLength(!0))}},Lt={getSelectedRow:function(){let t=null;return this.forEachSelectableRow((function(e){if(e.selected)return t=e,!1})),t},getSelectedRows:function(){const t=[];return this.forEachSelectableRow((function(e){e.selected&&t.push(e)})),t.length>1&&t.sort((function(t,e){const i=t.tg_selected_index,o=e.tg_selected_index;return i>o?1:i<o?-1:0})),t},selectAll:function(){let t=!(arguments.length>0&&void 0!==arguments[0])||arguments[0];if(t=Boolean(t),this.globalSelectedIndex=0,t&&!this.options.selectMultiple)return this;const e=this.getAllSelectedChangedList(t);return e.length?(this.updateRowsSelectedState(e),this):this},setRowSelected:function(){return(this.options.selectMultiple?this.setRowMultipleSelected:this.setRowSingleSelected).apply(this,arguments)},setRowSingleSelected:function(t){const e=this.getRowItem(t);if(!e)return this;if(!this.isRowSelectable(e))return this;if(e.selected)return this;const i=[],o=this.getSelectedRow();return o&&o.selected&&i.push(o),e.selected||i.push(e),i.length?(this.updateRowsSelectedState(i),this):this},setRowMultipleSelected:function(t,e){if(0===arguments.length)return this;if(1===arguments.length&&!1===arguments[0])return this.selectAll(!1);const i=this.toRowItemList(t,(t=>this.isRowSelectable(t)));return i.length?!1===e?(this.setRowListUnselected(i),this):d.hasShiftKey(e)&&1===i.length?(this.setRowBetweenListSelected(i[0]),this):(this.updateRowsSelectedState(i),this):this},setRowListUnselected:function(t){const e=this.getSelectedChangedList(t,!1);e.length&&this.updateRowsSelectedState(e)},setRowBetweenListSelected:function(t){const e=this.previousSelectedRow;if(e&&e!==t){const i=this.getBetweenSelectedChangedList(e,t);if(!i.length)return;this.updateRowsSelectedState(i,!0)}else this.updateRowsSelectedState([t])},getAllSelectedChangedList:function(t){const e=[];return this.forEachSelectableRow((i=>{this.isSelectedChanged(i,t)&&e.push(i)})),e},getSelectedChangedList:function(t,e){const i=[];return t.forEach((t=>{this.isSelectedChanged(t,e)&&i.push(t)})),i},getBetweenSelectedChangedList:function(t,e){const i=t.tg_index,o=e.tg_index,n=[];if(i<o){let t=i+1;for(;t<=o;)n.push(t),t++}else{let t=i-1;for(;t>=o;)n.push(t),t--}return this.toRowItemList(n,(t=>this.isRowSelectable(t)&&!t.selected))},updateRowsSelectedState:function(t,e){let i;t.forEach((t=>{const e=!t.selected;t.selected=e,e&&(t.tg_selected_index=this.globalSelectedIndex++,i=t),this.renderRowSelectedState(t)})),e||(this.previousSelectedRow=i),this.renderSelectAllState(),this.onNextUpdated((()=>{this.trigger(y.onSelectChanged,t)})),this.render()},renderRowSelectedState:function(t){const e=t.tg_view_index;this.viewport.rows.includes(e)&&(this.renderRowState(t,"selected"),this.flushCell(e,this.selectColumn.tg_view_index))},renderSelectAllState:function(){this.isSelectAllVisible()&&(this.asyncRenderSelectAllState||(this.asyncRenderSelectAllState=d.microtask(this.renderSelectAllStateSync)),this.asyncRenderSelectAllState.apply(this,arguments))},renderSelectAllStateSync:function(){const t=this.getSelectAllState();if(t===this.previousSelectAllState)return;this.previousSelectAllState=t;const e=this.selectColumn,i=w(this.getColumnHeaderNode(e)).find(".tg-select-icon-all");i.length&&(i.removeClass("tg-selected tg-mixed"),t&&i.addClass(`tg-${t}`))},getSelectAllState:function(){let t=0;this.forEachSelectableRow((e=>{t+=1}));const e=this.getSelectedRows().length;let i="mixed";return 0===e?(i="",this.previousSelectedRow=null):e===t&&(i="selected"),i},isSelectAllVisible:function(){const t=this.options;return!!(t.selectVisible&&t.selectAllVisible&&t.selectMultiple)}},xt={setRowHover:function(t,e){const i=this.getRowItem(t);return i?(this.renderRowHover(i,e),this):this},renderRowHover:function(t,e){if(this.previousHover&&(this.previousHover.removeClass("tg-hover"),this.previousHover=null),!e)return this;if(!1===this.rowHoverable)return;if(!1===t.hoverable)return this;if(t.tg_frozen&&!this.options.frozenRowHoverable)return this;const i=t.tg_view_index;return this.previousHover=this.$body.find(`.tg-row[row='${i}']`).addClass("tg-hover"),this},setRowState:function(t,e){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];const o=this.getRowItem(t);return o?(o.tg_state_names||(o.tg_state_names=new Set),o.tg_state_names.add(e),o[e]=i,this.renderRowState(o,e),this):this},renderRowState:function(t,e){const i=this.getRowNodesByIndex(t.tg_view_index);if(i){const o=`tg-${e}`;t[e]?i.addClass(o):i.removeClass(o)}}},zt={getRowItem:function(t){return d.isNum(t)?(t<0&&(t=this.rowsInfo.length+t),this.rowsInfo.indexCache[t]):t?d.isNum(t.tg_index)?t:this.getRowItemById(t.id||t):void 0},getRowItemById:function(t){return this.getRowItemBy("id",t)},getRowItemBy:function(t,e){if(void 0!==e)return this.rowsInfo.indexCache.find((i=>i[t]===e))},getRowsLength:function(t){return t?this.rowsInfo.length:this.viewRows.length},getViewRowItem:function(t){return this.viewRows[t]},getPreRenderRowInfo:function(t){const e={rows:[],rowNotFound:!1,benchmark:0};if(!t.length)return 0===this.getRowsLength()&&(e.rowNotFound=!0),e;const i=[],o=this.frozenInfo.row;return t.forEach((t=>{this.getRowCache(t)?t>o&&i.push(t):e.rows.push(t)})),i.length&&(e.benchmark=Math.min.apply(Math,i)),e.rows.sort((function(t,i){return t<e.benchmark&&i<e.benchmark?i-t:t-i})),e},rowNotFoundHandler:function(t){let e=this.options.rowNotFound;e?("function"==typeof e&&(e=e.call(this,t)),t.rowNotFound?this.showPaneMessage(e):this.hidePaneMessage()):this.hidePaneMessage()},showPaneMessage:function(t){this.$bodyFrame.addClass("tg-row-not-found");const e=this.$bodyFrame.find(".tg-body-message").show();this.renderNodeContent(e.get(0),t),this.paneMessageVisible=!0},hidePaneMessage:function(){this.paneMessageVisible&&(this.$bodyFrame.removeClass("tg-row-not-found"),this.$bodyFrame.find(".tg-body-message").hide(),this.paneMessageVisible=!1)},renderRows:function(t){const e=this.getPreRenderRowInfo(t);this.rowNotFoundHandler(e),!e.rowNotFound&&e.rows.length&&e.rows.forEach((t=>{this.renderRowNodes(t,e.benchmark)}))},createRowNode:function(t,e,i,o,n,s){const r=document.createElement("div");return r.setAttribute("row",t),r.className=i,o&&(r.style.cssText=o),r.style.top=`${n}px`,s!==this.options.rowHeight&&(r.style.height=`${s}px`,r.style.lineHeight=`${s}px`),this.setNodeDataCache(r,{row:t,rowItem:e,rowNode:r}),r},appendRowNode:function(t,e,i,o){i<o?t.prepend(e):t.append(e)},renderRowNodes:function(t,e){const i=this.getViewRowItem(t);if(!i)return;let o=w();const n=this.getRowVPos(t),s=this.getRowClass(i),r=d.styleMap(i.styleMap),l=this.getViewRowTop(i),h=this.getRowHeight(i),a=this.createRowNode(t,i,s,r,l,h),c=this.getRowCanvas(n,"left");if(this.appendRowNode(c,a,t,e),o=o.add(a),this.frozenInfo.columns){const a=this.createRowNode(t,i,s,r,l,h),c=this.getRowCanvas(n,"right");this.appendRowNode(c,a,t,e),o=o.add(a)}this.setRowCache(t,o)},isGroupLine:function(t){return t&&t.tg_group_line&&t.tg_view_index!==this.frozenInfo.row},isNoneLine:function(t){const e=this.frozenInfo.bottom;return!(t!==this.viewRows.length-1||!this.hasVScroll||!e&&this.hasHScroll)||!(t!==this.frozenInfo.row||!e||this.hasHScroll)},isTopLine:function(t){return!(0!==t||!this.frozenInfo.bottom)},getRowClass:function(t){const e=t.tg_view_index,i=["tg-row"],o=e%2==1;i.push({"tg-odd":o,"tg-even":!o,"tg-list-first":0===t.tg_list_index,"tg-list-last":t.tg_list_last,"tg-group-line":this.isGroupLine(t),"tg-none-line":this.isNoneLine(e),"tg-top-line":this.isTopLine(e),"tg-group":t.tg_group,"tg-selected":t.selected}),t.type&&i.push(`tg-${t.type}`);const n=t.tg_state_names;return n&&n.forEach((function(e){t[e]&&i.push(`tg-${e}`)})),i.push(d.classMap(t.classMap)),d.classMap(i)},getRowHeight:function(t){return t&&d.isNum(t.tg_height)?t.tg_height:this.options.rowHeight},getRowsHeight:function(){let t=0;const e=this.getRowsLength();for(let i=0;i<e;i++)t+=this.getRowHeight(this.viewRows[i]);return t},getFrozenRowsHeight:function(){let t=0;const e=this.frozenInfo.rows;for(let i=0;i<e;i++)t+=this.getRowHeight(this.viewRows[i]);return t},getViewRowTop:function(t){let e=t.tg_top;const i=t.tg_view_index;if(this.frozenInfo.rows){if(!(i>this.frozenInfo.row))return e;e-=this.frozenRowsHeight}return e-=this.scrollTopOffset,e},getRowTop:function(t){let e=t.tg_top;return t.tg_frozen||(e-=this.frozenRowsHeight),e},getRowVPos:function(t){const e=this.frozenInfo.bottom,i=this.frozenInfo.row;let o="top";return this.frozenInfo.rows&&(t<=i?e&&(o="bottom"):e||(o="bottom")),o},getRowCanvas:function(t,e){return"top"===t?"left"===e?this.$bodyTL:this.$bodyTR:"left"===e?this.$bodyBL:this.$bodyBR}},Mt={CHANGE:"change",START:"start",END:"end"},Pt={h:{type:"h",className:"tg-scrollbar-h",offset:"left",size:"width",page:"pageX",axis:"x",offsetName:"offsetX"},v:{type:"v",className:"tg-scrollbar-v",offset:"top",size:"height",page:"pageY",axis:"y",offsetName:"offsetY"}};class Nt extends k{static EVENT=Mt;static H="h";static V="v";type="h";settings={};size=0;viewSize=0;bodySize=0;trackSize=0;position=0;scale=0;thumbPosition=0;thumbScale=0;constructor(t,e){super(),this.settings=Pt[t]||Pt.h,this.type=this.settings.type,this.id=d.uid(4,`tg-scrollbar-${this.type}-`),this.$holder=w(e),this.$holder.find(`.${this.settings.className}`).remove(),this.options=this.generateOptions()}generateOptions(t){return d.merge({size:15,round:!1,blank:!1,motionDuration:200},t)}updateOptions(t){this.options=this.generateOptions(t);let e=this.options.size;d.isNum(e)||(e=d.toNum(e)),e=Math.round(e),e=Math.max(e,0),e=Math.min(e,30),this.size=e}create(){this.$container=w('<div><div class="tg-scrollbar-track"></div><div class="tg-scrollbar-thumb"></div></div>').appendTo(this.$holder),this.$container.attr("id",this.id),this.$container.addClass(d.classMap(["tg-scrollbar",this.settings.className,{"tg-scrollbar-round":this.options.round}])),this.$track=this.$container.find(".tg-scrollbar-track"),this.$thumb=this.$container.find(".tg-scrollbar-thumb"),this.thumbDrag=new O,this.thumbDrag.bind(O.EVENT.DRAG_START,((t,e)=>{this.thumbDragStart(e)})).bind(O.EVENT.DRAG_MOVE,((t,e)=>{this.thumbDragMove(e)})).bind(O.EVENT.DRAG_END,((t,e)=>{this.thumbDragEnd(e)}));const t=this.$container.get(0);return this.scrollEvents={mousedown:{handler:e=>{e.target.classList.contains("tg-scrollbar-thumb")?this.thumbMouseDownHandler(e):(this.trackEvents={mouseup:{handler:t=>{this.trackMouseupHandler(t)},options:{once:!0}}},d.bindEvents(this.trackEvents,t),this.trackMousedownHandler(e))},options:!0},selectstart:{handler:t=>{d.preventDefault(t)},options:!0}},d.bindEvents(this.scrollEvents,t),this}getBlank(){return this.options.blank}getSize(){return this.size}getViewSize(){return this.viewSize}getBodySize(){return this.bodySize}getTrackMouseDirection(){let t=1;return this.trackMousePosition<this.thumbPosition&&(t=-1),t}getTrackMousePos(t){const e=this.$track.offset();return t[this.settings.page]-e[this.settings.offset]}getMaxThumbPosition(){return this.trackSize-this.thumbSize}setThumbPosition(t){return t===this.thumbPosition||(this.thumbPosition=t,this.$thumb&&this.$thumb.css(this.settings.offset,t)),this}updateThumbPosition(){let t=0;const e=this.getMaxPosition();if(e>0){const i=this.getMaxThumbPosition();t=Math.round(i*this.position/e),t=d.clamp(t,0,i)}return this.setThumbPosition(t),this}trackMousedownHandler(t){return this.motionStop(),this.trackMousePosition=this.getTrackMousePos(t),this.motionStart(),this}trackMouseupHandler(t){return d.unbindEvents(this.trackEvents),this.motionStop(),this.motionStarted||(this.trackMousePosition=this.getTrackMousePos(t),this.trackScrollHandler(),this.triggerEvent()),this}trackScrollHandler(){const t=Math.max(0,this.viewSize-20)*this.getTrackMouseDirection();return this.setOffset(t),this}motionStop(){return this.motion&&(this.motion.destroy(),this.motion=null),this}motionStart(){const t=this.position,e=Math.round(this.trackMousePosition/this.viewSize*this.getMaxPosition());return this.motionStarted=!1,this.motion=new B,this.motion.bind(B.EVENT.MOTION_START,((t,e)=>{this.motionStarted=!0})),this.motion.bind(B.EVENT.MOTION_MOVE,((t,e)=>{this.motionUpdateHandler(t,e)})),this.motion.start({duration:this.options.motionDuration,from:t,till:e}),this}motionUpdateHandler(t,e){e!==this.position&&(this.setPosition(e),this.triggerEvent())}thumbMouseDownHandler(t){this.$thumb.addClass("tg-scrollbar-thumb-hold"),this.thumbDrag.start(t,{target:this.$thumb})}thumbDragStart(t){this.motionStop(),t.thumbPositionStart=this.thumbPosition,this.trigger(Mt.START)}thumbDragMove(t){let e=t.thumbPositionStart+t[this.settings.offsetName];const i=this.getMaxThumbPosition();e=d.clamp(e,0,i),this.setThumbPosition(e);let o=0;i>0&&(o=d.per(e/i)*this.getMaxPosition(),o=Math.round(o)),this.position=o,this.triggerEvent()}thumbDragEnd(t){this.$thumb&&this.$thumb.removeClass("tg-scrollbar-thumb-hold"),this.trigger(Mt.END)}triggerEvent(){this.trigger(Mt.CHANGE,this.position)}getPosition(){return this.position}setPosition(t){t=d.toNum(t,!0);const e=this.getMaxPosition();t=d.clamp(t,0,e),this.position=t,this.updateThumbPosition()}getMaxPosition(){return this.bodySize-this.viewSize}updatePosition(){const t=this.getMaxPosition(),e=d.clamp(this.position,0,t);this.position=e}setOffset(t){t=d.toNum(t);const e=this.position+t;return this.setPosition(e),this}getScale(){return this.scale}setScale(t){return t=d.per(t),this.scale=t,this.scaleChangeHandler(),this}scaleChangeHandler(){let t=Math.round(this.viewSize*this.scale);if(t=Math.max(t,Math.round(1.5*this.options.size)),t=Math.min(t,this.viewSize-1),this.thumbSize=t,this.$thumb){const t={};"h"===this.type?(t.height=this.size,t.width=this.thumbSize):(t.width=this.size,t.height=this.thumbSize),this.$thumb.css(t)}}updateTrackSize(){const t={};return"h"===this.type?(t.width=this.trackSize,t.height=this.size):(t.height=this.trackSize,t.width=this.size),this.$container.css(t),this}updateThumbSize(){let t=0;return this.bodySize&&(t=this.trackSize/this.bodySize),this.setScale(t),this}parseSize(t){return t=d.toNum(t),t=Math.round(t),t=Math.max(t,0)}updateSize(t,e,i){t=this.parseSize(t),this.viewSize=t,e=this.parseSize(e),this.bodySize=e,i=d.isNum(i)?this.parseSize(i):t,this.trackSize=i,this.previousFadeIn=null}fade(t){return!(!this.$container||!this.size)&&(this.previousFadeIn!==t&&(this.previousFadeIn=t,t?this.$container.hasClass("tg-fade-out")&&this.$container.removeClass("tg-fade-out").addClass("tg-fade-in"):this.$container.removeClass("tg-fade-in").addClass("tg-fade-out"),!0))}show(){if(this.updatePosition(),!this.getBlank())return!this.$container&&this.size>0&&this.create(),this.$container?(this.updateTrackSize(),this.updateThumbSize(),this):this;this.remove()}hide(){return this.updatePosition(),this.remove(),this}remove(){if(this.motionStop(),d.unbindEvents(this.scrollEvents),d.unbindEvents(this.trackEvents),this.thumbDrag&&(this.thumbDrag.destroy(),this.thumbDrag=null),!this.$container)return this;this.$thumb=null,this.$track=null,this.$container.remove(),this.$container=null}destroy(){return this.remove(),this}}const _t={CHANGE:"change",START:"start",END:"end"};class kt extends k{static EVENT=_t;visible=!0;constructor(t,e){super(),this.id=d.uid(4,`tg-scroll-pane-${e}-`),this.gradientInfo=[],this.$container=w(t).attr("id",this.id),this.$container.addClass("tg-scroll-pane"),this.$scrollView=this.$container.find(".tg-scroll-view"),this.$scrollBody=this.$scrollView.find(".tg-scroll-body"),this.scrollbarH=new Nt(Nt.H,this.$container),this.scrollbarH.bind(Nt.EVENT.CHANGE,((t,e)=>{this.scrollHChangeHandler()})).bind(Nt.EVENT.START,(t=>{this.scrollStartEndHandler(!0)})).bind(Nt.EVENT.END,(t=>{this.scrollStartEndHandler()})),this.scrollbarV=new Nt(Nt.V,this.$container),this.scrollbarV.bind(Nt.EVENT.CHANGE,((t,e)=>{this.scrollVChangeHandler()})).bind(Nt.EVENT.START,(t=>{this.scrollStartEndHandler(!0)})).bind(Nt.EVENT.END,(t=>{this.scrollStartEndHandler()})),this.options=this.generateOptions()}generateOptions(t){return d.merge({scrollbarH:{},scrollbarV:{},scrollbarFade:!1,scrollSizeOnKeyPress:20,gradient:30},t)}scrollStartEndHandler(t){t?this.trigger(_t.START):this.trigger(_t.END)}show(){return this.$container.show(),this.visible=!0,this}hide(){return this.$container.hide(),this.visible=!1,this}width(){return this.scrollPaneW}height(){return this.scrollPaneH}render(t){return this.visible?(this.options=this.generateOptions(t),this.update(),this):this}update(){this.scrollPaneW=this.options.scrollPaneW,this.scrollPaneH=this.options.scrollPaneH,this.scrollBodyW=this.options.scrollBodyW,this.scrollBodyH=this.options.scrollBodyH,this.updateScrollbar()}setGroupH(t){this.groupH=d.toList(t)}setGroupV(t){this.groupV=d.toList(t)}updateGroupH(){if(!d.isList(this.groupH))return this;const t=this.scrollbarH.getPosition();return this.groupH.forEach((function(e){e&&e.updateScrollHFromGroup(t)})),this}updateGroupV(){if(!d.isList(this.groupV))return this;const t=this.scrollbarV.getPosition();return this.groupV.forEach((function(e){e&&e.updateScrollVFromGroup(t)})),this}updateGroupList(){this.updateGroupH(),this.updateGroupV()}updateScrollHFromGroup(t){this.scrollbarH.getPosition()!==t&&(this.scrollbarH.setPosition(t),this.updateScrollLeft(),this.triggerEvent())}updateScrollVFromGroup(t){this.scrollbarV.getPosition()!==t&&(this.scrollbarV.setPosition(t),this.updateScrollTop(),this.triggerEvent())}setPosition(t,e){return this.scrollbarH.setPosition(t),this.scrollbarV.setPosition(e),this.updateScrollLeft(),this.updateScrollTop(),this.updateGroupList(),this}updateScrollbar(){this.scrollbarH.updateOptions(this.options.scrollbarH),this.scrollbarV.updateOptions(this.options.scrollbarV),this.updateScrollState(),this.updateScrollView(),this.updateScrollTrack(),this.scrollbarH.updateSize(this.scrollViewW,this.scrollBodyW,this.scrollTrackW),this.scrollbarV.updateSize(this.scrollViewH,this.scrollBodyH,this.scrollTrackH),this.hasScrollH?(this.scrollbarH.show(),this.scrollbarH.setPosition(this.scrollbarH.getPosition())):this.scrollbarH.hide(),this.hasScrollV?(this.scrollbarV.show(),this.scrollbarV.setPosition(this.scrollbarV.getPosition())):this.scrollbarV.hide(),this.updateScrollLeft(),this.updateScrollTop(),this.updateGroupList()}updateScrollState(){const t=this.scrollbarH.getSize(),e=this.scrollbarV.getSize(),i=this.scrollbarH.getBlank(),o=this.scrollbarV.getBlank(),n=this.options.scrollbarFade;let s=!1,r=0;(function(){(this.scrollPaneW<this.scrollBodyW||i)&&(s=!0,r=t,n&&(r=0))}).call(this);let l=!1,h=0;(function(){(this.scrollPaneH<this.scrollBodyH+r||o)&&(l=!0,h=e,n&&(h=0),!s&&this.scrollPaneW<this.scrollBodyW+h&&(s=!0,r=t,n&&(r=0)))}).call(this),this.hasScrollH=s,this.hasScrollV=l,this.scrollSizeH=r,this.scrollSizeV=h}updateScrollView(){this.scrollViewW=this.scrollPaneW,this.hasScrollV&&(this.scrollViewW=this.scrollPaneW-this.scrollSizeV),this.scrollViewH=this.scrollPaneH,this.hasScrollH&&(this.scrollViewH=this.scrollPaneH-this.scrollSizeH);const t=this.scrollbarH.getBlank(),e=this.scrollbarV.getBlank();let i=this.scrollViewW;e&&!0!==e&&(i=this.scrollPaneW);let o=this.scrollViewH;return t&&!0!==t&&(o=this.scrollPaneH),this.$scrollView.css({width:`${i}px`,height:`${o}px`}),this}updateScrollTrack(){this.scrollTrackW=this.scrollViewW,this.scrollTrackH=this.scrollViewH,this.options.scrollbarFade&&this.hasScrollH&&this.hasScrollV&&(this.scrollTrackW-=this.scrollbarV.getSize(),this.scrollTrackH-=this.scrollbarH.getSize())}fade(t){const e=this.scrollbarH.fade(t),i=this.scrollbarV.fade(t);return e||i}hasScrollbar(){return!!this.visible&&(!(!this.hasScrollH&&!this.hasScrollV)&&!(!this.scrollbarV.getSize()&&!this.scrollbarH.getSize()))}updateScrollLeft(){const t=this.getScrollLeft();return this.$scrollBody.css("left",-t+"px"),this.updateGradient(),this}updateScrollTop(){const t=this.getScrollTop()-this.getScrollTopOffset();return this.$scrollBody.css("top",-t+"px"),this.updateGradient(),this}updateGradient(){const t=this.options;if(!t.scrollbarFade)return;t.gradient&&(this.asyncUpdateGradient||(this.asyncUpdateGradient=d.microtask(this.updateGradientSync)),this.asyncUpdateGradient.apply(this,arguments))}updateGradientSync(){const t=[],e=this.options.gradient,i=this.getScrollLeft(),o=this.getScrollTop(),n=this.getMaxScrollLeft(),s=this.getMaxScrollTop();this.hasScrollH&&(i>e&&t.push("left"),i<n-e&&t.push("right")),this.hasScrollV&&(o>e&&t.push("top"),o<s-e&&t.push("bottom")),t.join("")!==this.gradientInfo.join("")&&(this.gradientInfo=t,["left","right","top","bottom"].forEach((e=>{const i=`tg-gradient-${e}`;t.includes(e)?this.$container.addClass(i):this.$container.removeClass(i)})))}getScrollLeft(){return this.scrollbarH.getPosition()}getScrollTop(){return this.scrollbarV.getPosition()}getMaxScrollLeft(){return this.scrollbarH.getMaxPosition()}getMaxScrollTop(){return this.scrollbarV.getMaxPosition()}getScrollTopOffset(){const t=this.getScrollTop();return t-t%1e4}triggerEvent(){this.trigger(_t.CHANGE,{scrollLeft:this.getScrollLeft(),scrollTop:this.getScrollTop()})}scrollHChangeHandler(){this.updateScrollLeft(),this.updateGroupList(),this.triggerEvent()}scrollVChangeHandler(){this.updateScrollTop(),this.updateGroupList(),this.triggerEvent()}setOffsetH(t){const e=this.getScrollLeft();this.scrollbarH.setOffset(t);return this.getScrollLeft()!==e&&(this.updateScrollLeft(),this.updateGroupList(),this.triggerEvent(),!0)}setOffsetV(t){const e=this.getScrollTop();this.scrollbarV.setOffset(t);return this.getScrollTop()!==e&&(this.updateScrollTop(),this.updateGroupList(),this.triggerEvent(),!0)}mouseWheelHandler(t){const e=t.deltaX,i=t.deltaY,o=Math.abs(e);if(o>Math.abs(i)){if(this.hasScrollH)return this.setOffsetH(e)}else{if(this.hasScrollV)return this.setOffsetV(i);if(this.hasScrollH&&!o)return this.setOffsetH(i)}return!1}keyPageUpHandler(t){return this.setOffsetV(-this.scrollViewH)}keyPageDownHandler(t){return this.setOffsetV(this.scrollViewH)}keyEndHandler(t){return this.setOffsetV(this.scrollBodyH)}keyHomeHandler(t){return this.setOffsetV(-this.scrollBodyH)}keyLeftHandler(t){return this.setOffsetH(-this.options.scrollSizeOnKeyPress)}keyUpHandler(t){return this.setOffsetV(-this.options.scrollSizeOnKeyPress)}keyRightHandler(t){return this.setOffsetH(this.options.scrollSizeOnKeyPress)}keyDownHandler(t){return this.setOffsetV(this.options.scrollSizeOnKeyPress)}destroy(){return this.visible=!1,this.groupH=null,this.groupV=null,this.scrollbarV&&(this.scrollbarV.destroy(),this.scrollbarV=null),this.scrollbarH&&(this.scrollbarH.destroy(),this.scrollbarH=null),this.$container=null,this.$scrollView=null,this.$scrollBody=null,this}}const Vt={initScrollPane:function(){this.initFrozenStyle(),this.createScrollPane()},initFrozenStyle:function(){const t={HL:{container:this.$paneHL,cls:[]},HR:{container:this.$paneHR,cls:[]},TL:{container:this.$paneTL,cls:[]},TR:{container:this.$paneTR,cls:[]},BL:{container:this.$paneBL,cls:[]},BR:{container:this.$paneBR,cls:[]}},e="tg-frozen-h";this.frozenInfo.rows&&(this.frozenInfo.bottom?(t.BL.cls.push(e),t.BR.cls.push(e)):(t.TL.cls.push(e),t.TR.cls.push(e)));const i="tg-frozen-v",o="tg-frozen-line-v";this.frozenInfo.columns&&(this.frozenInfo.right?(t.HR.cls.push(i),t.TR.cls.push(i),t.BR.cls.push(i)):(t.HL.cls.push(i),t.TL.cls.push(i),t.BL.cls.push(i)),t.HL.cls.push(o),t.TL.cls.push(o),t.BL.cls.push(o));const n="tg-frozen",s=[n,e,i,o].join(" ");Object.keys(t).forEach((function(e){const i=t[e],o=i.container;o.removeClass(s);const r=i.cls;if(!r.length)return;const l=[n].concat(r).join(" ");o.addClass(l)}))},createScrollPane:function(){this.removeScrollPane(),this.scrollPaneMap={HL:new kt(this.$paneHL,"header-left"),HR:new kt(this.$paneHR,"header-right"),TL:new kt(this.$paneTL,"top-left"),TR:new kt(this.$paneTR,"top-right"),BL:new kt(this.$paneBL,"bottom-left"),BR:new kt(this.$paneBR,"bottom-right")},this.scrollPaneMap.BR.setGroupH([this.scrollPaneMap.HR,this.scrollPaneMap.TR]),this.scrollPaneMap.TR.setGroupH([this.scrollPaneMap.HR,this.scrollPaneMap.BR]),this.scrollPaneMap.BL.setGroupH([this.scrollPaneMap.HL,this.scrollPaneMap.TL]),this.scrollPaneMap.TL.setGroupH([this.scrollPaneMap.HL,this.scrollPaneMap.BL]),this.scrollPaneMap.BR.setGroupV(this.scrollPaneMap.BL),this.scrollPaneMap.BL.setGroupV(this.scrollPaneMap.BR),this.scrollPaneMap.TR.setGroupV(this.scrollPaneMap.TL),this.scrollPaneMap.TL.setGroupV(this.scrollPaneMap.TR),this.initActiveScrollPane(),this.initPaneVisibility()},initActiveScrollPane:function(){const t=this.getScrollPaneVP(),e=this.getScrollPaneHP(),i=`${t}${e}`;this.scrollPane=this.scrollPaneMap[i],this.scrollPane.bind(kt.EVENT.CHANGE,((t,e)=>{this.scrollPaneChangeHandler(t,e)})).bind(kt.EVENT.START,(t=>{this.rowHoverable=!1})).bind(kt.EVENT.END,(t=>{this.rowHoverable=!0}));let o={L:"L",R:"L"};this.frozenInfo.columns&&this.frozenInfo.right&&(o={L:"R",R:"L"});const n=`${t}${o[e]}`;this.scrollPaneFrozen=this.scrollPaneMap[n]},getScrollPaneVP:function(){return this.frozenInfo.rows&&!this.frozenInfo.bottom?"B":"T"},getScrollPaneHP:function(){return this.frozenInfo.columns&&!this.frozenInfo.right?"R":"L"},initPaneVisibility:function(){this.scrollPaneMap.HL.show(),this.scrollPaneMap.TL.show(),this.frozenInfo.columns?(this.scrollPaneMap.HR.show(),this.scrollPaneMap.TR.show(),this.frozenInfo.rows?(this.scrollPaneMap.BL.show(),this.scrollPaneMap.BR.show()):(this.scrollPaneMap.BL.hide(),this.scrollPaneMap.BR.hide())):(this.scrollPaneMap.HR.hide(),this.scrollPaneMap.TR.hide(),this.scrollPaneMap.BR.hide(),this.frozenInfo.rows?this.scrollPaneMap.BL.show():this.scrollPaneMap.BL.hide())},scrollPaneChangeHandler:function(t,e){this.hideColumnLine(),this.scrollLeft=e.scrollLeft,this.scrollTop=e.scrollTop,this.scrollRenderHandler()},scrollbarFadeInOutHandler:function(t,e){this.options.scrollbarFade&&(e?this.updateScrollPaneFade(!0):this.options.scrollbarFadeTimeout||this.updateScrollPaneFade(!1))},updateScrollPaneFade:function(t){if(!this.options.scrollbarFade)return;this.updateScrollPaneFadeSync(t);const e=this.options.scrollbarFadeTimeout;e&&(clearTimeout(this.timeout_fade),this.timeout_fade=setTimeout((()=>{this.updateScrollPaneFadeSync(!1)}),e))},updateScrollPaneFadeSync:function(t){if(this.previousScrollbarFadeIn===t)return;this.previousScrollbarFadeIn=t;const e=[];Object.keys(this.scrollPaneMap).forEach((t=>{const i=this.scrollPaneMap[t];i.hasScrollbar()&&e.push(i)})),e.length&&e.forEach((function(e){e.fade(t)}))},updateScrollPane:function(){const t=this.getScrollbarOptions();this.scrollPaneMap.HL.render(this.getScrollPaneOptions({scrollPaneW:this.paneWidthL,scrollPaneH:this.headerHeight,scrollBodyW:this.bodyWidthL,scrollBodyH:this.headerHeight,scrollbarV:t.HLV,scrollbarH:t.HLH})),this.scrollPaneMap.HR.render(this.getScrollPaneOptions({scrollPaneW:this.paneWidthR,scrollPaneH:this.headerHeight,scrollBodyW:this.bodyWidthR,scrollBodyH:this.headerHeight,scrollbarV:t.HRV,scrollbarH:t.HRH})),this.scrollPaneMap.TL.render(this.getScrollPaneOptions({scrollPaneW:this.paneWidthL,scrollPaneH:this.paneHeightT,scrollBodyW:this.bodyWidthL,scrollBodyH:this.bodyHeightT,scrollbarV:t.TLV,scrollbarH:t.TLH})),this.scrollPaneMap.TR.render(this.getScrollPaneOptions({scrollPaneW:this.paneWidthR,scrollPaneH:this.paneHeightT,scrollBodyW:this.bodyWidthR,scrollBodyH:this.bodyHeightT,scrollbarV:t.TRV,scrollbarH:t.TRH})),this.scrollPaneMap.BL.render(this.getScrollPaneOptions({scrollPaneW:this.paneWidthL,scrollPaneH:this.paneHeightB,scrollBodyW:this.bodyWidthL,scrollBodyH:this.bodyHeightB,scrollbarV:t.BLV,scrollbarH:t.BLH})),this.scrollPaneMap.BR.render(this.getScrollPaneOptions({scrollPaneW:this.paneWidthR,scrollPaneH:this.paneHeightB,scrollBodyW:this.bodyWidthR,scrollBodyH:this.bodyHeightB,scrollbarV:t.BRV,scrollbarH:t.BRH})),this.scrollLeft=this.getScrollLeft(),this.scrollTop=this.getScrollTop(),this.updateScrollPaneFade(Boolean(this.options.scrollbarFadeTimeout))},getScrollPaneOptions:function(t){const e=this.options;return t.scrollbarFade=e.scrollbarFade,t.gradient=d.clamp(d.toNum(e.scrollPaneGradient,!0),0,100),t},getScrollbarOptions:function(){const t=this.options.scrollbarRound,e={};return["HLH","HLV","HRH","HRV","TLH","TLV","TRH","TRV","BLH","BLV","BRH","BRV"].forEach((function(i){e[i]={size:0,round:t,blank:!1}})),this.scrollbarOptionsHandler(e),this.scrollbarFadeHandler(e),e},scrollbarOptionsHandler:function(t){const e=this.scrollbarSizeH,i=this.scrollbarSizeV;this.scrollbarHeaderHandler(t,e,i),this.frozenInfo.columns?this.frozenInfo.rows?this.scrollbarC1R1Handler(t,e,i):this.scrollbarC1R0Handler(t,e,i):this.frozenInfo.rows?this.scrollbarC0R1Handler(t,e,i):this.scrollbarC0R0Handler(t,e,i)},scrollbarFadeHandler:function(t){if(this.options.scrollbarFade)for(const e in t)if(d.hasOwn(t,e)){const i=t[e];i.size>0&&i.blank&&(i.blank=!1,i.size=0)}},scrollbarHeaderHandler:function(t,e,i){this.hasVScroll&&(this.frozenInfo.columns?(t.HRV.size=i,t.HRV.blank=1):(t.HLV.size=i,t.HLV.blank=1))},scrollbarC0R0Handler:function(t,e,i){t.TLH.size=e,t.TLV.size=i},scrollbarC0R1Handler:function(t,e,i){this.frozenInfo.bottom?this.scrollbarC0R1B1Handler(t,e,i):this.scrollbarC0R1B0Handler(t,e,i)},scrollbarC0R1B1Handler:function(t,e,i){t.BLH.size=e,t.TLV.size=i,this.hasVScroll&&(t.BLV.size=i,t.BLV.blank=1)},scrollbarC0R1B0Handler:function(t,e,i){t.BLH.size=e,t.BLV.size=i,this.hasVScroll&&(t.TLV.size=i,t.TLV.blank=1)},scrollbarC1R0Handler:function(t,e,i){this.frozenInfo.right?this.scrollbarC1R0R1Handler(t,e,i):this.scrollbarC1R0R0Handler(t,e,i)},scrollbarC1R0R1Handler:function(t,e,i){this.hasHScroll&&(t.TLH.size=e,this.scrollPaneHidden?(t.TRH.size=e,t.TLH.blank=!0):(t.TRH.size=e,t.TRH.blank=!0)),t.TRV.size=i},scrollbarC1R0R0Handler:function(t,e,i){this.hasHScroll&&(t.TRH.size=e,this.scrollPaneHidden?(t.TLH.size=e,t.TRH.blank=!0):(t.TLH.size=e,t.TLH.blank=!0)),t.TRV.size=i},scrollbarC1R1Handler:function(t,e,i){this.frozenInfo.right?this.frozenInfo.bottom?this.scrollbarC1R1R1B1Handler(t,e,i):this.scrollbarC1R1R1B0Handler(t,e,i):this.frozenInfo.bottom?this.scrollbarC1R1R0B1Handler(t,e,i):this.scrollbarC1R1R0B0Handler(t,e,i)},scrollbarC1R1R1B1Handler:function(t,e,i){this.hasHScroll&&(t.BLH.size=e,this.scrollPaneHidden&&(t.BRH.size=e,t.BLH.blank=!0)),t.TRV.size=i,this.hasVScroll&&(t.BRV.size=i,t.BRV.blank=1)},scrollbarC1R1R1B0Handler:function(t,e,i){this.hasHScroll&&(t.BLH.size=e,this.scrollPaneHidden?(t.BRH.size=e,t.BLH.blank=!0):(t.BRH.size=e,t.BRH.blank=!0)),t.BRV.size=i,this.hasVScroll&&(t.TRV.size=i,t.TRV.blank=1)},scrollbarC1R1R0B1Handler:function(t,e,i){this.hasHScroll&&(t.BRH.size=e,this.scrollPaneHidden&&(t.BLH.size=e,t.BRH.blank=!0)),t.TRV.size=i,this.hasVScroll&&(t.BRV.size=i,t.BRV.blank=1)},scrollbarC1R1R0B0Handler:function(t,e,i){this.hasHScroll&&(t.BRH.size=e,this.scrollPaneHidden?(t.BLH.size=e,t.BRH.blank=!0):(t.BLH.size=e,t.BLH.blank=!0)),t.BRV.size=i,this.hasVScroll&&(t.TRV.size=i,t.TRV.blank=1)},removeScrollPane:function(){clearTimeout(this.timeout_fade),this.previousScrollbarFadeIn=null,this.scrollPaneMap&&(Object.keys(this.scrollPaneMap).forEach((t=>{const e=this.scrollPaneMap[t];e&&e.destroy()})),this.scrollPaneMap=null,this.scrollPane=null,this.scrollPaneFrozen=null)}},Ot={updateScrollState:function(){this.updateGlobalScrollInfo(),this.updateHScrollState(),this.updateVScrollState(),this.updateBlankColumnWidth(),this.scrollStateChanged=!1,this.previousHasHScroll===this.hasHScroll&&this.previousHasVScroll===this.hasVScroll||(this.scrollStateChanged=!0,this.previousHasHScroll=this.hasHScroll,this.previousHasVScroll=this.hasVScroll,this.trigger(y.onScrollStateChanged,{hasHScroll:this.hasHScroll,hasVScroll:this.hasVScroll}))},updateGlobalScrollInfo:function(){this.totalRowsLength=this.getRowsLength(),this.totalRowsHeight=this.getRowsHeight(),this.frozenRowsHeight=this.getFrozenRowsHeight(),this.scrollRowsHeight=this.totalRowsHeight-this.frozenRowsHeight,this.totalRowsHeight=Math.max(this.totalRowsHeight,1),this.scrollRowsHeight=Math.max(this.scrollRowsHeight,1),this.flushRowFrom(this.totalRowsLength)},updateHScrollState:function(){if(this.hasHScroll=!0,this.updateScrollPaneHiddenState(),this.updateHScrollByScrollPaneHidden(),this.scrollPaneHidden)return;this.containerWidth-this.columnsWidth>=0&&(this.hasHScroll=!1)},getScrollPaneCurrentWidth:function(){return this.frozenInfo.right?this.bodyWidth-this.columnsWidthR:this.bodyWidth-this.columnsWidthL},updateHScrollByScrollPaneHidden:function(){if(this.scrollPaneHidden){this.hasHScroll=!1;this.getScrollPaneCurrentWidth()<this.getScrollbarWidth()&&(this.hasHScroll=!0)}},updateScrollPaneHiddenState:function(){if(this.scrollPaneHidden=!1,this.frozenInfo.columns){this.getScrollPaneCurrentWidth()<this.getScrollPaneMinWidth()&&(this.scrollPaneHidden=!0)}this.updateScrollHeaderVisibility()},updateScrollHeaderVisibility:function(){if(this.previousHasScrollHeader===this.scrollPaneHidden)return;this.previousHasScrollHeader=this.scrollPaneHidden;let t=this.$headerR.get(0);this.frozenInfo.right&&(t=this.$headerL.get(0)),this.scrollPaneHidden?t.style.visibility="hidden":t.style.visibility="",this.updateScrollPaneColumnsHidden(this.scrollPaneHidden),this.cssRulesInvalid=!0},updateScrollPaneColumnsHidden:function(t){const e=this.frozenInfo.columns,i=this.viewAllColumns;for(let o=e,n=i.length-1;o<n;o++){i[o].tg_filtered=t}},getScrollPaneMinWidth:function(){let t=this.options.scrollPaneMinWidth;return(!d.isNum(t)||t<0)&&(t=this.scrollbarSizeV),t},updateVScrollState:function(){this.hasVScroll=!0;const t=this.getScrollbarHeight();if(this.options.autoHeight)this.hasVScroll=!1,this.containerHeight=this.headerHeight+this.totalRowsHeight+t,this.$holder.height(this.containerHeight);else{this.containerHeight-this.headerHeight-t>=this.totalRowsHeight&&(this.hasVScroll=!1)}},updateBlankColumnWidth:function(){let t=this.containerWidth-this.columnsWidth;!this.hasVScroll||this.hasHScroll||this.options.scrollbarFade||(t-=this.scrollbarSizeV),this.scrollPaneHidden&&(t=0),this.hasHScroll||(t>=0?(this.frozenInfo.columns?this.columnsWidthR+=t:this.columnsWidthL+=t,this.blankColumn.tg_width=t):this.hasHScroll=!0)}},$t={scrollToRow:function(t){const e=this.getRowItem(t);return this.scrollToItem(e,null),this},scrollToColumn:function(t){const e=this.getColumnItem(t);return this.scrollToItem(null,e),this},scrollToCell:function(t,e){const i=this.getRowItem(t),o=this.getColumnItem(e);return this.scrollToItem(i,o),this},scrollToFirstRow:function(){return this.setScrollTop(0),this},scrollToLastRow:function(){const t=this.getViewRows(),e=t[t.length-1],i=this.getScrollRowPosition(e);if(d.isNum(i))return this.setScrollTop(i),this},scrollToFirstColumn:function(){return this.setScrollLeft(0),this},scrollToLastColumn:function(t){const e=this.getViewColumns();let i=e[e.length-2];t&&(i=e[e.length-1]);const o=this.getScrollColumnPosition(i);if(d.isNum(o))return this.setScrollLeft(o),this},scrollRowIntoView:function(t){const e=this.getRowItem(t);return this.scrollItemIntoView(e,null),this},scrollColumnIntoView:function(t){const e=this.getColumnItem(t);return this.scrollItemIntoView(null,e),this},scrollCellIntoView:function(t,e){const i=this.getRowItem(t),o=this.getColumnItem(e);return this.scrollItemIntoView(i,o),this},setScroll:function(t,e){return t===this.scrollLeft&&e===this.scrollTop||(this.scrollLeft=t,this.scrollTop=e,this.scrollHandler()),this},setScrollLeft:function(t){return t===this.scrollLeft||(this.scrollLeft=t,this.scrollHandler()),this},setScrollTop:function(t){return t===this.scrollTop||(this.scrollTop=t,this.scrollHandler()),this},getScrollRowPosition:function(t){if(!t)return;let e=t.tg_view_index;return e-=this.frozenInfo.rows,e>=0?this.getRowTop(t):void 0},getScrollColumnPosition:function(t){if(!t)return;let e=t.tg_left;return this.frozenInfo.columns&&(e-=this.bodyWidthL),e>=0?e:void 0},scrollToItem:function(t,e){return this.scrollToChanged=!1,this.scrollToRowHandler(t),this.scrollToColumnHandler(e),this.scrollToChanged?(this.scrollHandler(),this):this},scrollToRowHandler:function(t){if(!t)return;const e=this.getScrollRowPosition(t);d.isNum(e)&&e!==this.scrollTop&&(this.scrollTop=e,this.scrollToChanged=!0)},scrollToColumnHandler:function(t){if(!t)return;const e=this.getScrollColumnPosition(t);d.isNum(e)&&e!==this.scrollLeft&&(this.scrollLeft=e,this.scrollToChanged=!0)},scrollItemIntoView:function(t,e){return this.scrollIntoViewChanged=!1,this.scrollRowIntoViewHandler(t),this.scrollColumnIntoViewHandler(e),this.scrollIntoViewChanged?(this.scrollHandler(),this):this},scrollRowIntoViewHandler:function(t){if(!t)return;const e=this.getScrollRowPosition(t);if(!d.isNum(e))return;if(e<this.scrollTop)return this.scrollTop=e,void(this.scrollIntoViewChanged=!0);const i=this.getRowHeight(t),o=this.getScrollViewHeight();if(e+i>this.scrollTop+o){const t=e-(o-i);this.scrollTop=t,this.scrollIntoViewChanged=!0}},scrollColumnIntoViewHandler:function(t){if(!t)return;const e=this.getScrollColumnPosition(t);if(!d.isNum(e))return;if(e<this.scrollLeft)return this.scrollLeft=e,void(this.scrollIntoViewChanged=!0);const i=t.tg_width,o=this.getScrollViewWidth();if(e+i>this.scrollLeft+o){const t=e-(o-i);this.scrollLeft=t,this.scrollIntoViewChanged=!0}},scrollOnInit:function(){const{scrollLeft:t,scrollTop:e,scrollColumn:i,scrollRow:o}=this.renderSettings;this.scrollIntoViewChanged=!1,Number.isInteger(t)&&t!==this.scrollLeft&&(this.scrollLeft=t,this.scrollIntoViewChanged=!0),Number.isInteger(e)&&e!==this.scrollTop&&(this.scrollTop=e,this.scrollIntoViewChanged=!0),i&&this.scrollColumnIntoViewHandler(i),o&&this.scrollRowIntoViewHandler(o),this.scrollIntoViewChanged&&this.scrollPane.setPosition(this.scrollLeft,this.scrollTop)},scrollHandler:function(){this.scrollPane.setPosition(this.scrollLeft,this.scrollTop),this.scrollRenderHandler()},scrollRenderHandler:function(){this.previousScrollLeft===this.scrollLeft&&this.previousScrollTop===this.scrollTop||(this.previousScrollLeft=this.scrollLeft,this.previousScrollTop=this.scrollTop,this.onNextUpdated((()=>{this.updateScrollPaneFade(!0),this.trigger(y.onScroll,{scrollLeft:this.scrollLeft,scrollTop:this.scrollTop})})),this.render())},scrollTouchStartHandler:function(t,e){this.hideColumnLine(),this.scrollTouchLeft=this.getScrollLeft(),this.scrollTouchTop=this.getScrollTop(),this.scrollMaxTouchLeft=this.getMaxScrollLeft(),this.scrollMaxTouchTop=this.getMaxScrollTop()},getTouchOrientation:function(t){return t.orientation?t.orientation:[e.LEFT,e.RIGHT].includes(t.direction)?(t.orientation||(t.orientation="Y"),t.orientation):[e.UP,e.DOWN].includes(t.direction)?(t.orientation||(t.orientation="X"),t.orientation):void 0},scrollTouchMoveHandler:function(t,e){if(e.touchLength>1)return;let i=e.offsetX,o=e.offsetY;const n=this.getTouchOrientation(e);"X"===n?i=0:"Y"===n&&(o=0);let s=this.scrollTouchLeft-i,r=this.scrollTouchTop-o;s=d.clamp(s,0,this.scrollMaxTouchLeft),r=d.clamp(r,0,this.scrollMaxTouchTop);let l=!1;this.scrollPaneHidden&&(l=this.scrollPaneFrozen.setOffsetH(-e.moveX),s=0);const h=this.getScrollLeft(),a=this.getScrollTop();(s!==h||r!==a||l)&&(d.preventDefault(e.e),this.setScroll(s,r))},scrollTouchEndHandler:function(){this.protectedItem=null},scrollTouchInertiaHandler:function(t,e){const i=this.getScrollLeft(),o=this.getScrollTop(),n=i-e.touchInertiaX,s=o-e.touchInertiaY;this.setScroll(n,s)},getScrollViewWidth:function(){let t=this.getScrollPaneWidth();return this.frozenInfo.right||(t-=this.getScrollbarWidth()),t},getScrollViewHeight:function(){let t=this.getScrollPaneHeight();return this.frozenInfo.bottom||(t-=this.getScrollbarHeight()),t},getScrollPaneWidth:function(){return this.scrollPane.width()},getScrollPaneHeight:function(){return this.scrollPane.height()},getScrollbarWidth:function(){return this.hasVScroll&&!this.options.scrollbarFade?this.scrollbarSizeV:0},getScrollbarHeight:function(){return this.hasHScroll&&!this.options.scrollbarFade?this.scrollbarSizeH:0},getScrollLeft:function(){return this.scrollPane.getScrollLeft()},getScrollTop:function(){return this.scrollPane.getScrollTop()},getMaxScrollLeft:function(){return this.scrollPane.getMaxScrollLeft()},getMaxScrollTop:function(){return this.scrollPane.getMaxScrollTop()}};class Dt{constructor(t){this.options=this.generateOptions(t)}generateOptions(t){return d.merge({ignore:null,sortField:"",sortFactor:1,sortBlankFactor:1,sortComparer:null},t)}sortList(t){if(!d.isList(t)||1===t.length)return!1;this.ignoreExcludeHandler(t);const e=this.comparerHandler(t);return this.ignoreIncludeHandler(t),e}getDefaultComparer(t){return(ft[t]||ft.string).bind(this)}comparerHandler(t){const e=this.options,i=e.sortField,o=e.sortFactor,n=e.sortBlankFactor,s=e.sortComparer;return"function"==typeof s&&(t.sort(((t,e)=>s.call(this,t,e,{sortField:i,sortFactor:o,sortBlankFactor:n}))),!0)}ignoreExcludeHandler(t){const e=this.options.ignore;this.ignoreListTop=[],this.ignoreListBottom=[];const i=[];for(let o=0,n=t.length;o<n;o++){const n=e(t[o]);n&&(n.top?this.ignoreListTop.unshift(n):this.ignoreListBottom.push(n),i.push(o))}i.reverse(),i.forEach((function(e){t.splice(e,1)}))}ignoreIncludeHandler(t){this.ignoreListTop.forEach((e=>{t.unshift(e.item)})),this.ignoreListBottom.forEach((e=>{t.push(e.item)}))}}const Bt={removeSortColumn:function(){return this.sortColumn=null,this.$header&&this.$header.find(".tg-column-sorted").removeClass("tg-column-sorted"),this},setSortColumn:function(t){if(!(t=this.getColumnItem(t)))return;if(!this.isColumnSortable(t))return;t===this.sortColumn?t.sortAsc=!t.sortAsc:d.hasOwn(t,"sortAsc")||(t.sortAsc=this.options.sortAsc),this.sortColumn=t;if(this.getRowsLength()-this.frozenInfo.rows<2)return;if(!this.headerCreated)return;this.updateRowsSort()&&(this.renderHeaderSort(),this.flushSort(),this.render("rows"))},renderHeaderSort:function(){const t=this.sortColumn;if(!t)return this;if(!this.isColumnSortable(t))return this;this.$header.find(".tg-column-sorted").removeClass("tg-column-sorted");const e=t.tg_view_index,i=this.$header.find(`.tg-header-item[column='${e}']`).find(".tg-column-header").addClass("tg-column-sorted");return t.sortAsc?i.removeClass("tg-sort-desc").addClass("tg-sort-asc"):i.removeClass("tg-sort-asc").addClass("tg-sort-desc"),this},getSortComparer:function(t){const e=t.comparer;if("function"==typeof e)return e;const i=this.options.sortComparers,o=i[e||t.type];return"function"==typeof o?o:i.string},updateRowsSort:function(){const t=this.sortColumn;if(!t)return!1;const e=t.id;return!!e&&this.sortRows(e,t)},sortRows:function(t){let e=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};const i=e.sortAsc?-1:1,o=this.options.sortBlankValueBottom?1:i,n=this.getSortComparer(e);let s=!1;const r=new Dt({ignore:function(t){return t.tg_frozen?{item:t,top:!0}:t.sortFixed?{item:t,top:"top"===t.sortFixed}:void 0},sortField:t,sortFactor:i,sortBlankFactor:o,sortComparer:n}),l=function(t){r.sortList(t)&&(s=!0),t.forEach((function(t,e){t.tg_sub_index=e,t.subs&&l(t.subs)}))};return l(this.rows),s&&this.initRowsHandler(),s}},At={default:{},lightblue:{rowHeight:35,scrollbarSize:10,scrollbarRound:!0},dark:{}},Wt={getAllThemes:function(){return Object.keys(At)},getThemeOptions:function(t){return At[t]}},Ft={update:function(){return this.flushBody(),this.render("rows"),this},updateRow:function(t,e){const i=this.getRowItem(t);if(!i)return this;if(e&&"object"==typeof e){const t=this.getItemSnapshot(e);Object.keys(t).forEach((function(e){i[e]=t[e]}))}return this.flushRow(i.tg_view_index),this.render("rows"),this},updateCell:function(t,e,i){const o=this.getRowItem(t);if(!o)return this;const n=this.getColumnItem(e);return n?(arguments.length>2&&(o[n.id]=i),this.flushCell(o.tg_view_index,n.tg_view_index),this.render("rows"),this):this},onNextUpdated:function(t){return"function"!=typeof t||this.once(y.onUpdated,t),this}},Gt={getViewport:function(){this.scrollLeft=this.getScrollLeft(),this.scrollTop=this.getScrollTop();return{rows:this.getViewportRows(),columns:this.getViewportColumns()}},getViewportRows:function(){const t=[],e=this.viewRows,i=e.length;if(!i)return t;let o=this.options.rowCacheLength;o=d.clamp(d.toNum(o,!0),0,i);const n=this.frozenInfo.rows;if(n){let e=0;for(;e<n;)t.push(e),e+=1}const s=i-1,r=this.scrollTop;let l=this.getRowByPosition(e,n,s,r);l-=o,l=Math.max(l,n);const h=this.scrollTop+(this.bodyHeight-this.frozenRowsHeight);let a=this.getRowByPosition(e,n,s,h);for(a+=o,a=Math.min(a,s);l<=a;)t.push(l),l+=1;return this.protectedItemHandler(t,"row"),t},getRowByPosition:function(t,e,i,o){for(;i-e>1;){const n=Math.floor(.5*(e+i)),s=t[n],r=this.getRowTop(s),l=this.getRowHeight(s);if(o<r)i=n;else{if(!(o>r+l))return n;e=n}}const n=t[i];return o<this.getRowTop(n)?e:i},getViewportColumns:function(){const t=this.getColumnListFromFrozen();let e=this.scrollLeft;e=Math.max(e,0),this.frozenInfo.columns&&(this.frozenInfo.right?e+=this.columnsWidthR:e+=this.columnsWidthL);let i=this.scrollLeft+this.bodyWidth;i=Math.min(i,this.columnsWidth);const o=this.getColumnListFromRange(e,i),n=[].concat(t).concat(o);return this.protectedItemHandler(n,"column"),n},getColumnListFromFrozen:function(){const t=this.frozenInfo.columns;if(!t)return[];const e=[];let i=0;for(;i<t;)e.push(i),i++;return e},getColumnListFromRange:function(t,e){if(t>=e)return[];const i=[],o=this.frozenInfo.columns,n=this.viewColumns;for(let s=o,r=n.length;s<r;s++){const o=n[s];this.isColumnInRange(o,t,e)&&i.push(s)}return this.updateColumnListFromCache(i),i},updateColumnListFromCache:function(t){if(!t.length)return;const e=this.viewColumns.length;let i=this.options.columnCacheLength;i=d.clamp(d.toNum(i,!0),0,e);const o=this.frozenInfo.column;for(;i>0;){const n=t[0]-1;n>o&&t.unshift(n);const s=t[t.length-1]+1;s<e&&t.push(s),i-=1}},isColumnInRange:function(t,e,i){if(this.isInvisible(t))return!1;const o=t.tg_left,n=o+t.tg_width;return!(o>i)&&!(n<e)},protectedItemHandler:function(t,e){if(!this.protectedItem)return;const i=this.protectedItem[e];d.isNum(i)&&(t.includes(i)||(t.push(i),t.sort((function(t,e){return t-e}))))}};class jt extends k{static $=w;static getInstance=d.getInstance;static getAllThemes=Wt.getAllThemes;static getAllEvents=F.getAllEvents;static VERSION=e.VERSION;static TIMESTAMP=e.TIMESTAMP;$=w;VERSION=e.VERSION;TIMESTAMP=e.TIMESTAMP;constructor(t){super(),this.create(t)}setOption(t,e){this.renderType="all";let i=t;if("string"==typeof t){if(this.options)return this.options[t]=e,this;i={},i[t]=e}return this.customOptions=i,this}getOption(t){const e=this.options;return arguments.length?e?e[t]:void 0:e}setData(t){this.renderType="all";const e={columns:[],rows:[]};let i;if(t&&"object"==typeof t){Array.isArray(t.columns)&&(e.columns=t.columns),Array.isArray(t.rows)&&(e.rows=t.rows);const o=t.rowsLength;Number.isInteger(o)&&o>0&&(e.rows.length=o),i=t.options}return this.data=e,this.dataOptions=i,this}setDataSnapshot(t){return this.setData(this.generateDataSnapshot(t)),this}getData(){return this.data}toString(){return"[object Grid]"}}var Ut;Ut=jt.prototype,[v,R,S,T,E,I,L,x,z,F,G,j,K,q,J,Z,tt,et,pt,mt,bt,wt,vt,Ht,{keyTabHandler:function(t){},keyEnterHandler:function(t){},keyEscHandler:function(t){},keyPageUpHandler:function(t){return this.scrollPane.keyPageUpHandler(t)},keyPageDownHandler:function(t){return this.scrollPane.keyPageDownHandler(t)},keyEndHandler:function(t){return this.scrollPane.keyEndHandler(t)},keyHomeHandler:function(t){return this.scrollPane.keyHomeHandler(t)},keyLeftHandler:function(t){return this.scrollPaneHidden?this.scrollPaneFrozen.keyLeftHandler(t):this.scrollPane.keyLeftHandler(t)},keyUpHandler:function(t){return this.scrollPane.keyUpHandler(t)},keyRightHandler:function(t){return this.scrollPaneHidden?this.scrollPaneFrozen.keyRightHandler(t):this.scrollPane.keyRightHandler(t)},keyDownHandler:function(t){return this.scrollPane.keyDownHandler(t)}},Ct,yt,Rt,St,Tt,{showRow:function(t){return this.updateRowsInvisible(this.toRowItemList(t),!1)},hideRow:function(t){return this.updateRowsInvisible(this.toRowItemList(t),!0)},updateRowsInvisible:function(t,e){if(!t.length)return!1;const i=[];return t.forEach((t=>{t.invisible!==e&&(t.invisible=e,t.tg_invisible=e,i.push(t))})),!!i.length&&(this.update(),!0)}},Et,It,Lt,xt,zt,Vt,Ot,$t,Bt,Wt,Ft,Gt].forEach((t=>{for(const e in t){if(d.hasOwn(Ut,e))throw new Error(`ERROR: extends with an existing key: "${e}"`);Ut[e]=t[e]}}));const Xt=jt,Yt=e.VERSION,Kt=e.TIMESTAMP,qt={VERSION:Yt,TIMESTAMP:Kt,Grid:Xt,$:w,CONST:e,EventBase:k,Icon:X,Motion:B,ScrollPane:kt,Util:d}})();var n=o.$,s=o.MP,r=o._d,l=o.xA,h=o.In,a=o.T8,c=o.Gr,d=o.ht,u=o.J0,g=o.xv,f=o.Ay;export{n as $,s as CONST,r as EventBase,l as Grid,h as Icon,a as Motion,c as ScrollPane,d as TIMESTAMP,u as Util,g as VERSION,f as default};
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/json-checker.py b/ComfyUI/custom_nodes/ComfyUI-Manager/json-checker.py
new file mode 100644
index 0000000000000000000000000000000000000000..a6c1317ff0a7f5fc80b18a79a6b39034b315671d
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/json-checker.py
@@ -0,0 +1,23 @@
+import json
+import argparse
+
+def check_json_syntax(file_path):
+    try:
+        with open(file_path, 'r') as file:
+            json_str = file.read()
+            json.loads(json_str)
+            print(f"[ OK ] {file_path}")
+    except json.JSONDecodeError as e:
+        print(f"[FAIL] {file_path}\n\n       {e}\n")
+    except FileNotFoundError:
+        print(f"[FAIL] {file_path}\n\n       File not found\n")
+
+def main():
+    parser = argparse.ArgumentParser(description="JSON File Syntax Checker")
+    parser.add_argument("file_path", type=str, help="Path to the JSON file for syntax checking")
+
+    args = parser.parse_args()
+    check_json_syntax(args.file_path)
+
+if __name__ == "__main__":
+    main()
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/Impact.pack b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/Impact.pack
new file mode 100644
index 0000000000000000000000000000000000000000..93fd32847cc827929cb6a0987466aaf2628c3145
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/Impact.pack
@@ -0,0 +1,444 @@
+{
+    "Impact::MAKE_BASIC_PIPE": {
+        "category": "",
+        "config": {
+            "1": {
+                "input": {
+                    "text": {
+                        "name": "Positive prompt"
+                    }
+                }
+            },
+            "2": {
+                "input": {
+                    "text": {
+                        "name": "Negative prompt"
+                    }
+                }
+            }
+        },
+        "datetime": 1705418802481,
+        "external": [],
+        "links": [
+            [
+                0,
+                1,
+                1,
+                0,
+                1,
+                "CLIP"
+            ],
+            [
+                0,
+                1,
+                2,
+                0,
+                1,
+                "CLIP"
+            ],
+            [
+                0,
+                0,
+                3,
+                0,
+                1,
+                "MODEL"
+            ],
+            [
+                0,
+                1,
+                3,
+                1,
+                1,
+                "CLIP"
+            ],
+            [
+                0,
+                2,
+                3,
+                2,
+                1,
+                "VAE"
+            ],
+            [
+                1,
+                0,
+                3,
+                3,
+                3,
+                "CONDITIONING"
+            ],
+            [
+                2,
+                0,
+                3,
+                4,
+                4,
+                "CONDITIONING"
+            ]
+        ],
+        "nodes": [
+            {
+                "flags": {},
+                "index": 0,
+                "mode": 0,
+                "order": 0,
+                "outputs": [
+                    {
+                        "links": [],
+                        "name": "MODEL",
+                        "shape": 3,
+                        "slot_index": 0,
+                        "type": "MODEL"
+                    },
+                    {
+                        "links": [],
+                        "name": "CLIP",
+                        "shape": 3,
+                        "slot_index": 1,
+                        "type": "CLIP"
+                    },
+                    {
+                        "links": [],
+                        "name": "VAE",
+                        "shape": 3,
+                        "slot_index": 2,
+                        "type": "VAE"
+                    }
+                ],
+                "pos": [
+                    550,
+                    360
+                ],
+                "properties": {
+                    "Node name for S&R": "CheckpointLoaderSimple"
+                },
+                "size": {
+                    "0": 315,
+                    "1": 98
+                },
+                "type": "CheckpointLoaderSimple",
+                "widgets_values": [
+                    "SDXL/sd_xl_base_1.0_0.9vae.safetensors"
+                ]
+            },
+            {
+                "flags": {},
+                "index": 1,
+                "inputs": [
+                    {
+                        "link": null,
+                        "name": "clip",
+                        "type": "CLIP"
+                    }
+                ],
+                "mode": 0,
+                "order": 1,
+                "outputs": [
+                    {
+                        "links": [],
+                        "name": "CONDITIONING",
+                        "shape": 3,
+                        "slot_index": 0,
+                        "type": "CONDITIONING"
+                    }
+                ],
+                "pos": [
+                    940,
+                    480
+                ],
+                "properties": {
+                    "Node name for S&R": "CLIPTextEncode"
+                },
+                "size": {
+                    "0": 263,
+                    "1": 99
+                },
+                "title": "Positive",
+                "type": "CLIPTextEncode",
+                "widgets_values": [
+                    ""
+                ]
+            },
+            {
+                "flags": {},
+                "index": 2,
+                "inputs": [
+                    {
+                        "link": null,
+                        "name": "clip",
+                        "type": "CLIP"
+                    }
+                ],
+                "mode": 0,
+                "order": 2,
+                "outputs": [
+                    {
+                        "links": [],
+                        "name": "CONDITIONING",
+                        "shape": 3,
+                        "slot_index": 0,
+                        "type": "CONDITIONING"
+                    }
+                ],
+                "pos": [
+                    940,
+                    640
+                ],
+                "properties": {
+                    "Node name for S&R": "CLIPTextEncode"
+                },
+                "size": {
+                    "0": 263,
+                    "1": 99
+                },
+                "title": "Negative",
+                "type": "CLIPTextEncode",
+                "widgets_values": [
+                    ""
+                ]
+            },
+            {
+                "flags": {},
+                "index": 3,
+                "inputs": [
+                    {
+                        "link": null,
+                        "name": "model",
+                        "type": "MODEL"
+                    },
+                    {
+                        "link": null,
+                        "name": "clip",
+                        "type": "CLIP"
+                    },
+                    {
+                        "link": null,
+                        "name": "vae",
+                        "type": "VAE"
+                    },
+                    {
+                        "link": null,
+                        "name": "positive",
+                        "type": "CONDITIONING"
+                    },
+                    {
+                        "link": null,
+                        "name": "negative",
+                        "type": "CONDITIONING"
+                    }
+                ],
+                "mode": 0,
+                "order": 3,
+                "outputs": [
+                    {
+                        "links": null,
+                        "name": "basic_pipe",
+                        "shape": 3,
+                        "slot_index": 0,
+                        "type": "BASIC_PIPE"
+                    }
+                ],
+                "pos": [
+                    1320,
+                    360
+                ],
+                "properties": {
+                    "Node name for S&R": "ToBasicPipe"
+                },
+                "size": {
+                    "0": 241.79998779296875,
+                    "1": 106
+                },
+                "type": "ToBasicPipe"
+            }
+        ],
+        "packname": "Impact",
+        "version": "1.0"
+    },
+    "Impact::SIMPLE_DETAILER_PIPE": {
+        "category": "",
+        "config": {
+            "0": {
+                "output": {
+                    "0": {
+                        "visible": false
+                    },
+                    "1": {
+                        "visible": false
+                    }
+                }
+            },
+            "2": {
+                "input": {
+                    "Select to add LoRA": {
+                        "visible": false
+                    },
+                    "Select to add Wildcard": {
+                        "visible": false
+                    },
+                    "wildcard": {
+                        "visible": false
+                    }
+                }
+            }
+        },
+        "datetime": 1705419147116,
+        "external": [],
+        "links": [
+            [
+                null,
+                0,
+                2,
+                0,
+                6,
+                "BASIC_PIPE"
+            ],
+            [
+                0,
+                0,
+                2,
+                1,
+                13,
+                "BBOX_DETECTOR"
+            ],
+            [
+                1,
+                0,
+                2,
+                2,
+                15,
+                "SAM_MODEL"
+            ]
+        ],
+        "nodes": [
+            {
+                "flags": {},
+                "index": 0,
+                "mode": 0,
+                "order": 2,
+                "outputs": [
+                    {
+                        "links": [],
+                        "name": "BBOX_DETECTOR",
+                        "shape": 3,
+                        "type": "BBOX_DETECTOR"
+                    },
+                    {
+                        "links": null,
+                        "name": "SEGM_DETECTOR",
+                        "shape": 3,
+                        "type": "SEGM_DETECTOR"
+                    }
+                ],
+                "pos": [
+                    590,
+                    830
+                ],
+                "properties": {
+                    "Node name for S&R": "UltralyticsDetectorProvider"
+                },
+                "size": {
+                    "0": 315,
+                    "1": 78
+                },
+                "type": "UltralyticsDetectorProvider",
+                "widgets_values": [
+                    "bbox/Eyeful_v1.pt"
+                ]
+            },
+            {
+                "flags": {},
+                "index": 1,
+                "mode": 0,
+                "order": 3,
+                "outputs": [
+                    {
+                        "links": [],
+                        "name": "SAM_MODEL",
+                        "shape": 3,
+                        "type": "SAM_MODEL"
+                    }
+                ],
+                "pos": [
+                    590,
+                    960
+                ],
+                "properties": {
+                    "Node name for S&R": "SAMLoader"
+                },
+                "size": {
+                    "0": 315,
+                    "1": 82
+                },
+                "type": "SAMLoader",
+                "widgets_values": [
+                    "sam_vit_b_01ec64.pth",
+                    "AUTO"
+                ]
+            },
+            {
+                "flags": {},
+                "index": 2,
+                "inputs": [
+                    {
+                        "link": null,
+                        "name": "basic_pipe",
+                        "type": "BASIC_PIPE"
+                    },
+                    {
+                        "link": null,
+                        "name": "bbox_detector",
+                        "slot_index": 1,
+                        "type": "BBOX_DETECTOR"
+                    },
+                    {
+                        "link": null,
+                        "name": "sam_model_opt",
+                        "slot_index": 2,
+                        "type": "SAM_MODEL"
+                    },
+                    {
+                        "link": null,
+                        "name": "segm_detector_opt",
+                        "type": "SEGM_DETECTOR"
+                    },
+                    {
+                        "link": null,
+                        "name": "detailer_hook",
+                        "type": "DETAILER_HOOK"
+                    }
+                ],
+                "mode": 0,
+                "order": 5,
+                "outputs": [
+                    {
+                        "links": null,
+                        "name": "detailer_pipe",
+                        "shape": 3,
+                        "type": "DETAILER_PIPE"
+                    }
+                ],
+                "pos": [
+                    1044,
+                    812
+                ],
+                "properties": {
+                    "Node name for S&R": "BasicPipeToDetailerPipe"
+                },
+                "size": {
+                    "0": 400,
+                    "1": 204
+                },
+                "type": "BasicPipeToDetailerPipe",
+                "widgets_values": [
+                    "",
+                    "Select the LoRA to add to the text",
+                    "Select the Wildcard to add to the text"
+                ]
+            }
+        ],
+        "packname": "Impact",
+        "version": "1.0"
+    }
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/custom-nodes.jpg b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/custom-nodes.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..74c2a8bf5b98fde2cc196ca003fc1b8f10bb480c
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diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/main.jpg b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/main.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..ec31f76fcaf06cbd2b2b51d98f4d244bcd34fcb6
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/main.jpg differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/menu.jpg b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/menu.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..c83540a9d5c5d826c6bb20cdc5b22308ae66ca11
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/menu.jpg differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/missing-list.jpg b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/missing-list.jpg
new file mode 100644
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diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/missing-menu.jpg b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/missing-menu.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..455ea6fc09d806f2dd3559cd3b3301c0a2a81689
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diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/models.png b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/models.png
new file mode 100644
index 0000000000000000000000000000000000000000..9e985fb498d528218ec0f3ada8508c2abd6a6926
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diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/nickname.jpg b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/nickname.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..e3cfdcac5f0be077c5f90543b0c480b87b0f2a1d
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/nickname.jpg differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/portable-install.png b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/portable-install.png
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diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/share-setting.jpg b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/share-setting.jpg
new file mode 100644
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Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/share-setting.jpg differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/share.jpg b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/share.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..97c0ae7de58265351e8cd4dfbb9489fedc41abb5
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/share.jpg differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/misc/snapshot.jpg b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/snapshot.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..33269564bbd2b286994c78a92bf09905d251907b
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI-Manager/misc/snapshot.jpg differ
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/model-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/model-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..421ac35a4de507a48b0a5345d8a0948ae7eb99a6
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/model-list.json
@@ -0,0 +1,4143 @@
+{
+  "models": [
+    {
+      "name": "TAEF1 Decoder",
+      "type": "TAESD",
+      "base": "FLUX.1",
+      "save_path": "vae_approx",
+      "description": "(FLUX.1 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+      "reference": "https://github.com/madebyollin/taesd",
+      "filename": "taef1_decoder.pth",
+      "url": "https://github.com/madebyollin/taesd/raw/main/taef1_decoder.pth",
+      "size": "4.71MB"
+    },
+    {
+      "name": "TAEF1 Encoder",
+      "type": "TAESD",
+      "base": "FLUX.1",
+      "save_path": "vae_approx",
+      "description": "(FLUX.1 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+      "reference": "https://github.com/madebyollin/taesd",
+      "filename": "taef1_encoder.pth",
+      "url": "https://github.com/madebyollin/taesd/raw/main/taef1_encoder.pth",
+      "size": "4.71MB"
+    },
+    {
+      "name": "TAESD3 Decoder",
+      "type": "TAESD",
+      "base": "SD3",
+      "save_path": "vae_approx",
+      "description": "(SD3 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+      "reference": "https://github.com/madebyollin/taesd",
+      "filename": "taesd3_decoder.pth",
+      "url": "https://github.com/madebyollin/taesd/raw/main/taesd3_decoder.pth",
+      "size": "4.94MB"
+    },
+    {
+      "name": "TAESD3 Encoder",
+      "type": "TAESD",
+      "base": "SD3",
+      "save_path": "vae_approx",
+      "description": "(SD3 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+      "reference": "https://github.com/madebyollin/taesd",
+      "filename": "taesd3_encoder.pth",
+      "url": "https://github.com/madebyollin/taesd/raw/main/taesd3_encoder.pth",
+      "size": "4.94MB"
+    },
+    {
+      "name": "TAESDXL Decoder",
+      "type": "TAESD",
+      "base": "SDXL",
+      "save_path": "vae_approx",
+      "description": "(SDXL Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+      "reference": "https://github.com/madebyollin/taesd",
+      "filename": "taesdxl_decoder.pth",
+      "url": "https://github.com/madebyollin/taesd/raw/main/taesdxl_decoder.pth",
+      "size": "4.91MB"
+    },
+    {
+      "name": "TAESDXL Encoder",
+      "type": "TAESD",
+      "base": "SDXL",
+      "save_path": "vae_approx",
+      "description": "(SDXL Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+      "reference": "https://github.com/madebyollin/taesd",
+      "filename": "taesdxl_encoder.pth",
+      "url": "https://github.com/madebyollin/taesd/raw/main/taesdxl_encoder.pth",
+      "size": "4.91MB"
+    },
+    {
+      "name": "TAESD Decoder",
+      "type": "TAESD",
+      "base": "SD1.x",
+      "save_path": "vae_approx",
+      "description": "To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+      "reference": "https://github.com/madebyollin/taesd",
+      "filename": "taesd_decoder.pth",
+      "url": "https://github.com/madebyollin/taesd/raw/main/taesd_decoder.pth",
+      "size": "4.91MB"
+    },
+    {
+      "name": "TAESD Encoder",
+      "type": "TAESD",
+      "base": "SD1.x",
+      "save_path": "vae_approx",
+      "description": "To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+      "reference": "https://github.com/madebyollin/taesd",
+      "filename": "taesd_encoder.pth",
+      "url": "https://github.com/madebyollin/taesd/raw/main/taesd_encoder.pth",
+      "size": "4.91MB"
+    },
+    {
+      "name": "RealESRGAN x2",
+      "type": "upscale",
+      "base": "upscale",
+      "save_path": "default",
+      "description": "RealESRGAN x2 upscaler model",
+      "reference": "https://huggingface.co/ai-forever/Real-ESRGAN",
+      "filename": "RealESRGAN_x2.pth",
+      "url": "https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x2.pth",
+      "size": "67.1MB"
+    },
+    {
+      "name": "RealESRGAN x4",
+      "type": "upscale",
+      "base": "upscale",
+      "save_path": "default",
+      "description": "RealESRGAN x4 upscaler model",
+      "reference": "https://huggingface.co/ai-forever/Real-ESRGAN",
+      "filename": "RealESRGAN_x4.pth",
+      "url": "https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x4.pth",
+      "size": "67.0MB"
+    },
+    {
+      "name": "ESRGAN x4",
+      "type": "upscale",
+      "base": "upscale",
+      "save_path": "default",
+      "description": "ESRGAN x4 upscaler model",
+      "reference": "https://huggingface.co/Afizi/ESRGAN_4x.pth",
+      "filename": "ESRGAN_4x.pth",
+      "url": "https://huggingface.co/Afizi/ESRGAN_4x.pth/resolve/main/ESRGAN_4x.pth",
+      "size": "66.9MB"
+    },
+    {
+      "name": "4x_foolhardy_Remacri",
+      "type": "upscale",
+      "base": "upscale",
+      "save_path": "default",
+      "description": "4x_foolhardy_Remacri upscaler model",
+      "reference": "https://huggingface.co/FacehugmanIII/4x_foolhardy_Remacri",
+      "filename": "4x_foolhardy_Remacri.pth",
+      "url": "https://huggingface.co/FacehugmanIII/4x_foolhardy_Remacri/resolve/main/4x_foolhardy_Remacri.pth",
+      "size": "67.0MB"
+    },
+    {
+      "name": "4x-AnimeSharp",
+      "type": "upscale",
+      "base": "upscale",
+      "save_path": "default",
+      "description": "4x-AnimeSharp upscaler model",
+      "reference": "https://huggingface.co/Kim2091/AnimeSharp/",
+      "filename": "4x-AnimeSharp.pth",
+      "url": "https://huggingface.co/Kim2091/AnimeSharp/resolve/main/4x-AnimeSharp.pth",
+      "size": "67.0MB"
+    },
+    {
+      "name": "4x-UltraSharp",
+      "type": "upscale",
+      "base": "upscale",
+      "save_path": "default",
+      "description": "4x-UltraSharp upscaler model",
+      "reference": "https://huggingface.co/Kim2091/UltraSharp/",
+      "filename": "4x-UltraSharp.pth",
+      "url": "https://huggingface.co/Kim2091/UltraSharp/resolve/main/4x-UltraSharp.pth",
+      "size": "67.0MB"
+    },
+    {
+      "name": "4x_NMKD-Siax_200k",
+      "type": "upscale",
+      "base": "upscale",
+      "save_path": "default",
+      "description": "4x_NMKD-Siax_200k upscaler model",
+      "reference": "https://huggingface.co/gemasai/4x_NMKD-Siax_200k",
+      "filename": "4x_NMKD-Siax_200k.pth",
+      "url": "https://huggingface.co/gemasai/4x_NMKD-Siax_200k/resolve/main/4x_NMKD-Siax_200k.pth",
+      "size": "67.0MB"
+    },
+    {
+      "name": "8x_NMKD-Superscale_150000_G",
+      "type": "upscale",
+      "base": "upscale",
+      "save_path": "default",
+      "description": "8x_NMKD-Superscale_150000_G upscaler model",
+      "reference": "https://huggingface.co/uwg/upscaler",
+      "filename": "8x_NMKD-Superscale_150000_G.pth",
+      "url": "https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/8x_NMKD-Superscale_150000_G.pth",
+      "size": "67.1MB"
+    },
+    {
+      "name": "8x_NMKD-Faces_160000_G",
+      "type": "upscale",
+      "base": "upscale",
+      "save_path": "default",
+      "description": "8x_NMKD-Faces_160000_G upscaler model",
+      "reference": "https://huggingface.co/gemasai/8x_NMKD-Faces_160000_G/tree/main",
+      "filename": "8x_NMKD-Faces_160000_G.pth",
+      "url": "https://huggingface.co/gemasai/8x_NMKD-Faces_160000_G/resolve/main/8x_NMKD-Faces_160000_G.pth",
+      "size": "67.2MB"
+    },
+    {
+      "name": "LDSR(Latent Diffusion Super Resolution)",
+      "type": "upscale",
+      "base": "upscale",
+      "save_path": "upscale_models/ldsr",
+      "description": "LDSR upscale model. Through the [a/ComfyUI-Flowty-LDSR](https://github.com/flowtyone/ComfyUI-Flowty-LDSR) extension, the upscale model can be utilized.",
+      "reference": "https://github.com/CompVis/latent-diffusion",
+      "filename": "last.ckpt",
+      "url": "https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1",
+      "size": "2.04GB"
+    },
+    {
+      "name": "stabilityai/stable-diffusion-x4-upscaler",
+      "type": "checkpoint",
+      "base": "upscale",
+      "save_path": "checkpoints/upscale",
+      "description": "This upscaling model is a latent text-guided diffusion model and should be used with SD_4XUpscale_Conditioning and KSampler.",
+      "reference": "https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler",
+      "filename": "x4-upscaler-ema.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler/resolve/main/x4-upscaler-ema.safetensors",
+      "size": "3.53GB"
+    },
+    {
+      "name": "Inswapper-fp16 (face swap)",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface",
+      "description": "Checkpoint of the insightface swapper model\n(used by ComfyUI-FaceSwap, comfyui-reactor-node, CharacterFaceSwap,\nComfyUI roop and comfy_mtb)",
+      "reference": "https://github.com/facefusion/facefusion-assets",
+      "filename": "inswapper_128_fp16.onnx",
+      "url": "https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128_fp16.onnx",
+      "size": "277.7MB"
+    },
+    {
+      "name": "Inswapper (face swap)",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface",
+      "description": "Checkpoint of the insightface swapper model\n(used by ComfyUI-FaceSwap, comfyui-reactor-node, CharacterFaceSwap,\nComfyUI roop and comfy_mtb)",
+      "reference": "https://github.com/facefusion/facefusion-assets",
+      "filename": "inswapper_128.onnx",
+      "url": "https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx",
+      "size": "555.3MB"
+    },
+    {
+      "name": "Deepbump",
+      "type": "deepbump",
+      "base": "deepbump",
+      "save_path": "deepbump",
+      "description": "Checkpoint of the deepbump model to generate height and normal maps textures from an image (requires comfy_mtb)",
+      "reference": "https://github.com/HugoTini/DeepBump",
+      "filename": "deepbump256.onnx",
+      "url": "https://github.com/HugoTini/DeepBump/raw/master/deepbump256.onnx",
+      "size": "26.7MB"
+    },
+    {
+      "name": "GFPGAN 1.3",
+      "type": "face_restore",
+      "base": "face_restore",
+      "save_path": "face_restore",
+      "description": "Face restoration",
+      "reference": "https://github.com/TencentARC/GFPGAN",
+      "filename": "GFPGANv1.3.pth",
+      "url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth",
+      "size": "348.6MB"
+    },
+    {
+      "name": "GFPGAN 1.4",
+      "type": "face_restore",
+      "base": "face_restore",
+      "save_path": "face_restore",
+      "description": "Face restoration",
+      "reference": "https://github.com/TencentARC/GFPGAN",
+      "filename": "GFPGANv1.4.pth",
+      "url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth",
+      "size": "348.6MB"
+    },
+    {
+      "name": "RestoreFormer",
+      "type": "face_restore",
+      "base": "face_restore",
+      "save_path": "face_restore",
+      "description": "Face restoration",
+      "reference": "https://github.com/TencentARC/GFPGAN",
+      "filename": "RestoreFormer.pth",
+      "url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/RestoreFormer.pth",
+      "size": "290.8MB"
+    },
+    {
+      "name": "Stable Video Diffusion Image-to-Video",
+      "type": "checkpoint",
+      "base": "SVD",
+      "save_path": "checkpoints/SVD",
+      "description": "Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.\nNOTE: 14 frames @ 576x1024",
+      "reference": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid",
+      "filename": "svd.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid/resolve/main/svd.safetensors",
+      "size": "9.56GB"
+    },
+    {
+      "name": "stabilityai/Stable Zero123",
+      "type": "zero123",
+      "base": "zero123",
+      "save_path": "checkpoints/zero123",
+      "description": "Stable Zero123 is a model for view-conditioned image generation based on [a/Zero123](https://github.com/cvlab-columbia/zero123).",
+      "reference": "https://huggingface.co/stabilityai/stable-zero123",
+      "filename": "stable_zero123.ckpt",
+      "url": "https://huggingface.co/stabilityai/stable-zero123/resolve/main/stable_zero123.ckpt",
+      "size": "8.58GB"
+    },
+    {
+      "name": "Stable Video Diffusion Image-to-Video (XT)",
+      "type": "checkpoint",
+      "base": "SVD",
+      "save_path": "checkpoints/SVD",
+      "description": "Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.\nNOTE: 25 frames @ 576x1024 ",
+      "reference": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt",
+      "filename": "svd_xt.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt/resolve/main/svd_xt.safetensors",
+      "size": "9.56GB"
+    },
+    {
+      "name": "negative_hand Negative Embedding",
+      "type": "embeddings",
+      "base": "SD1.5",
+      "save_path": "default",
+      "description": "If you use this embedding with negatives, you can solve the issue of damaging your hands.",
+      "reference": "https://civitai.com/models/56519/negativehand-negative-embedding",
+      "filename": "negative_hand-neg.pt",
+      "url": "https://civitai.com/api/download/models/60938",
+      "size": "25KB"
+    },
+    {
+      "name": "bad_prompt Negative Embedding",
+      "type": "embeddings",
+      "base": "SD1.5",
+      "save_path": "default",
+      "description": "The idea behind this embedding was to somehow train the negative prompt as an embedding, thus unifying the basis of the negative prompt into one word or embedding.",
+      "reference": "https://civitai.com/models/55700/badprompt-negative-embedding",
+      "filename": "bad_prompt_version2-neg.pt",
+      "url": "https://civitai.com/api/download/models/60095",
+      "size": "25KB"
+    },
+    {
+      "name": "Deep Negative V1.75",
+      "type": "embeddings",
+      "base": "SD1.5",
+      "save_path": "default",
+      "description": "These embedding learn what disgusting compositions and color patterns are, including faulty human anatomy, offensive color schemes, upside-down spatial structures, and more. Placing it in the negative can go a long way to avoiding these things.",
+      "reference": "https://civitai.com/models/4629/deep-negative-v1x",
+      "filename": "ng_deepnegative_v1_75t.pt",
+      "url": "https://civitai.com/api/download/models/5637",
+      "size": "226KB"
+    },
+    {
+      "name": "EasyNegative",
+      "type": "embeddings",
+      "base": "SD1.5",
+      "save_path": "default",
+      "description": "This embedding should be used in your NEGATIVE prompt. Adjust the strength as desired (seems to scale well without any distortions), the strength required may vary based on positive and negative prompts.",
+      "reference": "https://civitai.com/models/7808/easynegative",
+      "filename": "easynegative.safetensors",
+      "url": "https://civitai.com/api/download/models/9208",
+      "size": "25KB"
+    },
+    {
+      "name": "stabilityai/comfyui_checkpoints/stable_cascade_stage_b.safetensors",
+      "type": "checkpoint",
+      "base": "Stable Cascade",
+      "save_path": "checkpoints/Stable-Cascade",
+      "description": "Stable Cascade stage_b checkpoints",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stable_cascade_stage_b.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/comfyui_checkpoints/stable_cascade_stage_b.safetensors",
+      "size": "4.55GB"
+    },
+    {
+      "name": "stabilityai/comfyui_checkpoints/stable_cascade_stage_c.safetensors",
+      "type": "checkpoint",
+      "base": "Stable Cascade",
+      "save_path": "checkpoints/Stable-Cascade",
+      "description": "Stable Cascade stage_c checkpoints",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stable_cascade_stage_c.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/comfyui_checkpoints/stable_cascade_stage_c.safetensors",
+      "size": "9.22GB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: stage_a.safetensors (VAE)",
+      "type": "VAE",
+      "base": "Stable Cascade",
+      "save_path": "vae/Stable-Cascade",
+      "description": "Stable Cascade: stage_a",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stage_a.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_a.safetensors",
+      "size": "73.7MB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: effnet_encoder.safetensors (VAE)",
+      "type": "VAE",
+      "base": "Stable Cascade",
+      "save_path": "vae/Stable-Cascade",
+      "description": "Stable Cascade: effnet_encoder.\nVAE encoder for stage_c latent.",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "effnet_encoder.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/effnet_encoder.safetensors",
+      "size": "81.5MB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: stage_b.safetensors (UNET)",
+      "type": "diffusion_model",
+      "base": "Stable Cascade",
+      "save_path": "diffusion_models/Stable-Cascade",
+      "description": "Stable Cascade: stage_b",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stage_b.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b.safetensors",
+      "size": "6.25GB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: stage_b_bf16.safetensors (UNET)",
+      "type": "diffusion_model",
+      "base": "Stable Cascade",
+      "save_path": "diffusion_models/Stable-Cascade",
+      "description": "Stable Cascade: stage_b/bf16",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stage_b_bf16.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_bf16.safetensors",
+      "size": "3.13GB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: stage_b_lite.safetensors (UNET)",
+      "type": "diffusion_model",
+      "base": "Stable Cascade",
+      "save_path": "diffusion_models/Stable-Cascade",
+      "description": "Stable Cascade: stage_b/lite",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stage_b_lite.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_lite.safetensors",
+      "size": "2.80GB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: stage_b_lite.safetensors (UNET)",
+      "type": "diffusion_model",
+      "base": "Stable Cascade",
+      "save_path": "diffusion_models/Stable-Cascade",
+      "description": "Stable Cascade: stage_b/bf16,lite",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stage_b_lite_bf16.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_lite_bf16.safetensors",
+      "size": "1.40GB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: stage_c.safetensors (UNET)",
+      "type": "diffusion_model",
+      "base": "Stable Cascade",
+      "save_path": "diffusion_models/Stable-Cascade",
+      "description": "Stable Cascade: stage_c",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stage_c.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c.safetensors",
+      "size": "14.4GB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: stage_c_bf16.safetensors (UNET)",
+      "type": "diffusion_model",
+      "base": "Stable Cascade",
+      "save_path": "diffusion_models/Stable-Cascade",
+      "description": "Stable Cascade: stage_c/bf16",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stage_c_bf16.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c_bf16.safetensors",
+      "size": "7.18GB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: stage_c_lite.safetensors (UNET)",
+      "type": "diffusion_model",
+      "base": "Stable Cascade",
+      "save_path": "diffusion_models/Stable-Cascade",
+      "description": "Stable Cascade: stage_c/lite",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stage_c_lite.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c_lite.safetensors",
+      "size": "4.12GB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: stage_c_lite.safetensors (UNET)",
+      "type": "diffusion_model",
+      "base": "Stable Cascade",
+      "save_path": "diffusion_models/Stable-Cascade",
+      "description": "Stable Cascade: stage_c/bf16,lite",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "stage_c_lite_bf16.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c_lite_bf16.safetensors",
+      "size": "2.06GB"
+    },
+    {
+      "name": "stabilityai/Stable Cascade: text_encoder (CLIP)",
+      "type": "clip",
+      "base": "Stable Cascade",
+      "save_path": "clip/Stable-Cascade",
+      "description": "Stable Cascade: text_encoder",
+      "reference": "https://huggingface.co/stabilityai/stable-cascade",
+      "filename": "model.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/text_encoder/model.safetensors",
+      "size": "1.39GB"
+    },
+    {
+      "name": "SDXL-Turbo 1.0 (fp16)",
+      "type": "checkpoint",
+      "base": "SDXL",
+      "save_path": "checkpoints/SDXL-TURBO",
+      "description": "SDXL-Turbo 1.0 fp16",
+      "reference": "https://huggingface.co/stabilityai/sdxl-turbo",
+      "filename": "sd_xl_turbo_1.0_fp16.safetensors",
+      "url": "https://huggingface.co/stabilityai/sdxl-turbo/resolve/main/sd_xl_turbo_1.0_fp16.safetensors",
+      "size": "6.94GB"
+    },
+    {
+      "name": "SDXL-Turbo 1.0",
+      "type": "checkpoint",
+      "base": "SDXL",
+      "save_path": "checkpoints/SDXL-TURBO",
+      "description": "SDXL-Turbo 1.0",
+      "reference": "https://huggingface.co/stabilityai/sdxl-turbo",
+      "filename": "sd_xl_turbo_1.0.safetensors",
+      "url": "https://huggingface.co/stabilityai/sdxl-turbo/resolve/main/sd_xl_turbo_1.0.safetensors",
+      "size": "13.9GB"
+    },
+    {
+      "name": "sd_xl_base_1.0_0.9vae.safetensors",
+      "type": "checkpoint",
+      "base": "SDXL",
+      "save_path": "default",
+      "description": "Stable Diffusion XL base model (VAE 0.9)",
+      "reference": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0",
+      "filename": "sd_xl_base_1.0_0.9vae.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0_0.9vae.safetensors",
+      "size": "6.94GB"
+    },
+    {
+      "name": "sd_xl_base_1.0.safetensors",
+      "type": "checkpoint",
+      "base": "SDXL",
+      "save_path": "default",
+      "description": "Stable Diffusion XL base model",
+      "reference": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0",
+      "filename": "sd_xl_base_1.0.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors",
+      "size": "6.94GB"
+    },
+    {
+      "name": "sd_xl_refiner_1.0_0.9vae.safetensors",
+      "type": "checkpoint",
+      "base": "SDXL",
+      "save_path": "default",
+      "description": "Stable Diffusion XL refiner model (VAE 0.9)",
+      "reference": "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0",
+      "filename": "sd_xl_refiner_1.0_0.9vae.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0_0.9vae.safetensors",
+      "size": "6.08GB"
+    },
+    {
+      "name": "stable-diffusion-xl-refiner-1.0",
+      "type": "checkpoint",
+      "base": "SDXL",
+      "save_path": "default",
+      "description": "Stable Diffusion XL refiner model",
+      "reference": "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0",
+      "filename": "sd_xl_refiner_1.0.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors",
+      "size": "6.08GB"
+    },
+    {
+      "name": "diffusers/stable-diffusion-xl-1.0-inpainting-0.1 (diffusion_models/fp16)",
+      "type": "diffusion_model",
+      "base": "SDXL",
+      "save_path": "diffusion_models/xl-inpaint-0.1",
+      "description": "Stable Diffusion XL inpainting model 0.1. You need UNETLoader instead of CheckpointLoader.",
+      "reference": "https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
+      "filename": "diffusion_pytorch_model.fp16.safetensors",
+      "url": "https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1/resolve/main/diffusion_models/diffusion_pytorch_model.fp16.safetensors",
+      "size": "5.14GB"
+    },
+    {
+      "name": "diffusers/stable-diffusion-xl-1.0-inpainting-0.1 (UNET)",
+      "type": "diffusion_model",
+      "base": "SDXL",
+      "save_path": "diffusion_models/xl-inpaint-0.1",
+      "description": "Stable Diffusion XL inpainting model 0.1. You need UNETLoader instead of CheckpointLoader.",
+      "reference": "https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
+      "filename": "diffusion_pytorch_model.safetensors",
+      "url": "https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1/resolve/main/diffusion_models/diffusion_pytorch_model.safetensors",
+      "size": "10.3GB"
+    },
+    {
+      "name": "sd_xl_offset_example-lora_1.0.safetensors",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "default",
+      "description": "Stable Diffusion XL offset LoRA",
+      "reference": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0",
+      "filename": "sd_xl_offset_example-lora_1.0.safetensors",
+      "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors",
+      "size": "49.6MB"
+    },
+
+    {
+      "name": "SDXL Lightning LoRA (2steps)",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/SDXL-Lightning",
+      "description": "SDXL Lightning LoRA (2steps)",
+      "reference": "https://huggingface.co/ByteDance/SDXL-Lightning",
+      "filename": "sdxl_lightning_2step_lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_2step_lora.safetensors",
+      "size": "393.9MB"
+    },
+    {
+      "name": "SDXL Lightning LoRA (4steps)",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/SDXL-Lightning",
+      "description": "SDXL Lightning LoRA (4steps)",
+      "reference": "https://huggingface.co/ByteDance/SDXL-Lightning",
+      "filename": "sdxl_lightning_4step_lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_4step_lora.safetensors",
+      "size": "393.9MB"
+    },
+    {
+      "name": "SDXL Lightning LoRA (8steps)",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/SDXL-Lightning",
+      "description": "SDXL Lightning LoRA (8steps)",
+      "reference": "https://huggingface.co/ByteDance/SDXL-Lightning",
+      "filename": "sdxl_lightning_8step_lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_8step_lora.safetensors",
+      "size": "393.9MB"
+    },
+
+    {
+      "name": "DMD2 LoRA (4steps)",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/DMD2",
+      "description": "DMD2 LoRA (4steps)",
+      "reference": "https://huggingface.co/tianweiy/DMD2",
+      "filename": "dmd2_sdxl_4step_lora.safetensors",
+      "url": "https://huggingface.co/tianweiy/DMD2/resolve/main/dmd2_sdxl_4step_lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "DMD2 LoRA (4steps/fp16)",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/DMD2",
+      "description": "DMD2 LoRA (4steps/fp16)",
+      "reference": "https://huggingface.co/tianweiy/DMD2",
+      "filename": "dmd2_sdxl_4step_lora_fp16.safetensors",
+      "url": "https://huggingface.co/tianweiy/DMD2/resolve/main/dmd2_sdxl_4step_lora_fp16.safetensors",
+      "size": "394MB"
+    },
+
+    {
+      "name": "Hyper-SD LoRA (8steps) - FLUX.1 [Dev]",
+      "type": "lora",
+      "base": "FLUX.1",
+      "save_path": "loras/HyperSD/FLUX.1",
+      "description": "Hyper-SD LoRA (8steps) - FLUX.1 [Dev]",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-FLUX.1-dev-8steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-FLUX.1-dev-8steps-lora.safetensors",
+      "size": "1.39GB"
+    },
+    {
+      "name": "Hyper-SD LoRA (16steps) - FLUX.1 [Dev]",
+      "type": "lora",
+      "base": "FLUX.1",
+      "save_path": "loras/HyperSD/FLUX.1",
+      "description": "Hyper-SD LoRA (16steps) - FLUX.1 [Dev]",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-FLUX.1-dev-16steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-FLUX.1-dev-16steps-lora.safetensors",
+      "size": "1.39GB"
+    },
+
+    {
+      "name": "Hyper-SD LoRA (1step) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD LoRA (1step) - SD1.5",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-1step-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-1step-lora.safetensors",
+      "size": "269MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (2steps) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD LoRA (2steps) - SD1.5",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-2steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-2steps-lora.safetensors",
+      "size": "269MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (4steps) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD LoRA (4steps)",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-4steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-4steps-lora.safetensors",
+      "size": "269MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (8steps) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD LoRA (8steps)",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-8steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-8steps-lora.safetensors",
+      "size": "269MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (8steps) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD CFG LoRA (8steps)",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-8steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-8steps-CFG-lora.safetensors",
+      "size": "269MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (12steps) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD CFG LoRA (12steps)",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-12steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-12steps-CFG-lora.safetensors",
+      "size": "269MB"
+    },
+
+    {
+      "name": "Hyper-SD LoRA (1step) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD LoRA (1step) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SDXL-1step-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-1step-lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (2steps) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD LoRA (2steps) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SDXL-2steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-2steps-lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (4steps) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD LoRA (4steps) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-4steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-4steps-lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (8steps) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD LoRA (8steps) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SDXL-8steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-8steps-lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (8steps) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD CFG LoRA (8steps) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SDXL-8steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-8steps-CFG-lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (12steps) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD CFG LoRA (12steps) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SDXL-12steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-12steps-CFG-lora.safetensors",
+      "size": "787MB"
+    },
+
+    {
+      "name": "Hyper-SD CFG LoRA (4steps) - SD3",
+      "type": "lora",
+      "base": "SD3",
+      "save_path": "loras/HyperSD/SD3",
+      "description": "Hyper-SD CFG LoRA (4steps) - SD3",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD3-4steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD3-4steps-CFG-lora.safetensors",
+      "size": "472MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (8steps) - SD3",
+      "type": "lora",
+      "base": "SD3",
+      "save_path": "loras/HyperSD/SD3",
+      "description": "Hyper-SD CFG LoRA (8steps) - SD3",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD3-8steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD3-8steps-CFG-lora.safetensors",
+      "size": "472MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (16steps) - SD3",
+      "type": "lora",
+      "base": "SD3",
+      "save_path": "loras/HyperSD/SD3",
+      "description": "Hyper-SD CFG LoRA (16steps) - SD3",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD3-16steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD3-16steps-CFG-lora.safetensors",
+      "size": "472MB"
+    },
+
+    {
+      "name": "google-t5/t5-base",
+      "type": "clip",
+      "base": "t5-base",
+      "save_path": "clip/t5-base",
+      "description": "T5 Base: Text-To-Text Transfer Transformer. This model can be loaded via CLIPLoader for Stable Audio workflow.",
+      "reference": "https://huggingface.co/google-t5/t5-base",
+      "filename": "model.safetensors",
+      "url": "https://huggingface.co/google-t5/t5-base/resolve/main/model.safetensors",
+      "size": "892MB"
+    },
+
+    {
+      "name": "google-t5/t5-v1_1-xxl_encoderonly-fp16",
+      "type": "clip",
+      "base": "t5",
+      "save_path": "clip/t5",
+      "description": "The encoder part of https://huggingface.co/google/t5-v1_1-xxl, used with SD3 and Flux1",
+      "reference": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly",
+      "filename": "google_t5-v1_1-xxl_encoderonly-fp16.safetensors",
+      "url": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly/resolve/main/pytorch_model.safetensors",
+      "size": "10.1GB"
+    },
+    {
+      "name": "google-t5/t5-v1_1-xxl_encoderonly-fp8_e4m3fn",
+      "type": "clip",
+      "base": "t5",
+      "save_path": "clip/t5",
+      "description": "The encoder part of https://huggingface.co/google/t5-v1_1-xxl, used with SD3 and Flux1",
+      "reference": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly",
+      "filename": "google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors",
+      "url": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly/resolve/main/t5xxl_fp8_e4m3fn.safetensors",
+      "size": "4.89GB"
+    },
+
+
+    {
+      "name": "city96/t5-v1_1-xxl-encoder-Q3_K_L.gguf",
+      "type": "clip",
+      "base": "t5",
+      "save_path": "clip/t5",
+      "description": "t5xxl Text Encoder GGUF model. (Q3_K_L quantized)",
+      "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+      "filename": "t5-v1_1-xxl-encoder-Q3_K_L.gguf",
+      "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q3_K_L.gguf",
+      "size": "2.46GB"
+    },
+    {
+      "name": "city96/t5-v1_1-xxl-encoder-Q3_K_M.gguf",
+      "type": "clip",
+      "base": "t5",
+      "save_path": "clip/t5",
+      "description": "t5xxl Text Encoder GGUF model. (Q3_K_M quantized)",
+      "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+      "filename": "t5-v1_1-xxl-encoder-Q3_K_M.gguf",
+      "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q3_K_M.gguf",
+      "size": "2.3GB"
+    },
+    {
+      "name": "city96/t5-v1_1-xxl-encoder-Q3_K_S.gguf",
+      "type": "clip",
+      "base": "t5",
+      "save_path": "clip/t5",
+      "description": "t5xxl Text Encoder GGUF model. (Q3_K_S quantized)",
+      "reference": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf",
+      "filename": "t5-v1_1-xxl-encoder-Q3_K_S.gguf",
+      "url": "https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q3_K_S.gguf",
+      "size": "2.1GB"
+    },
+    {
+      "name": "city96/t5-v1_1-xxl-encoder-Q4_K_M.gguf",
+      "type": "clip",
+      "base": "t5",
+      "save_path": "clip/t5",
+      "description": "t5xxl Text Encoder GGUF model. (Q4_K_M quantized)",
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+      "description": "ControlNet T2I-Adapter for sketch",
+      "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
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+      "description": "ControlNet T2I-Adapter for keypose",
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+      "description": "ControlNet T2I-Adapter for openpose",
+      "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
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+      "size": "309.5MB"
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+      "name": "T2I-Adapter (color)",
+      "type": "T2I-Adapter",
+      "base": "SD1.5",
+      "save_path": "default",
+      "description": "ControlNet T2I-Adapter for color",
+      "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
+      "filename": "t2iadapter_color_sd14v1.pth",
+      "url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_color_sd14v1.pth",
+      "size": "74.8MB"
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+      "name": "T2I-Adapter (canny)",
+      "type": "T2I-Adapter",
+      "base": "SD1.5",
+      "save_path": "default",
+      "description": "ControlNet T2I-Adapter for canny",
+      "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
+      "filename": "t2iadapter_canny_sd14v1.pth",
+      "url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_canny_sd14v1.pth",
+      "size": "308.0MB"
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+      "save_path": "default",
+      "description": "ControlNet T2I-Adapter style model. Need to download CLIPVision model.",
+      "reference": "https://huggingface.co/TencentARC/T2I-Adapter",
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+      "size": "154.4MB"
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+      "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
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+      "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
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+      "size": "22.5MB"
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+      "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
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+      "filename": "person_yolov8s-seg.pt",
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+      "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
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+      "url": "https://huggingface.co/Bingsu/adetailer/resolve/main/deepfashion2_yolov8s-seg.pt",
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+      "base": "Ultralytics",
+      "save_path": "ultralytics/segm",
+      "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
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+      "filename": "face_yolov8m-seg_60.pt",
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+    },
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+      "base": "Ultralytics",
+      "save_path": "ultralytics/segm",
+      "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+      "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+      "filename": "face_yolov8n-seg2_60.pt",
+      "url": "https://github.com/hben35096/assets/releases/download/yolo8/face_yolov8n-seg2_60.pt",
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+      "name": "hair_yolov8n-seg_60.pt (segm)",
+      "type": "Ultralytics",
+      "base": "Ultralytics",
+      "save_path": "ultralytics/segm",
+      "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+      "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+      "filename": "hair_yolov8n-seg_60.pt",
+      "url": "https://github.com/hben35096/assets/releases/download/yolo8/hair_yolov8n-seg_60.pt",
+      "size": "6.77MB"
+    },
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+      "save_path": "ultralytics/segm",
+      "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+      "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+      "filename": "skin_yolov8m-seg_400.pt",
+      "url": "https://github.com/hben35096/assets/releases/download/yolo8/skin_yolov8m-seg_400.pt",
+      "size": "54.9MB"
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+      "base": "Ultralytics",
+      "save_path": "ultralytics/segm",
+      "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+      "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+      "filename": "skin_yolov8n-seg_400.pt",
+      "url": "https://github.com/hben35096/assets/releases/download/yolo8/skin_yolov8n-seg_400.pt",
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+    },
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+      "base": "Ultralytics",
+      "save_path": "ultralytics/segm",
+      "description": "These are the available models in the UltralyticsDetectorProvider of Impact Pack.",
+      "reference": "https://github.com/hben35096/assets/releases/tag/yolo8",
+      "filename": "skin_yolov8n-seg_800.pt",
+      "url": "https://github.com/hben35096/assets/releases/download/yolo8/skin_yolov8n-seg_800.pt",
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+      "description": "Pressing 'install' directly downloads the model from the ArtVentureX/AnimateDiff extension node.",
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+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15.ckpt",
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+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v14.ckpt",
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+      "save_path": "animatediff_models",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
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+      "filename": "mm_sd_v15.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15.ckpt",
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+      "save_path": "animatediff_models",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "mm_sd_v15_v2.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15_v2.ckpt",
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+      "save_path": "animatediff_models",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v3_sd15_mm.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_mm.ckpt",
+      "size": "1.67GB"
+    },
+    {
+      "name": "animatediff/mm_sdxl_v10_beta.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "animatediff",
+      "base": "SDXL",
+      "save_path": "animatediff_models",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "mm_sdxl_v10_beta.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/mm_sdxl_v10_beta.ckpt",
+      "size": "950.1MB"
+    },
+    {
+      "name": "AD_Stabilized_Motion/mm-Stabilized_high.pth (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "animatediff",
+      "base": "SD1.x",
+      "save_path": "animatediff_models",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/manshoety/AD_Stabilized_Motion",
+      "filename": "mm-Stabilized_high.pth",
+      "url": "https://huggingface.co/manshoety/AD_Stabilized_Motion/resolve/main/mm-Stabilized_high.pth",
+      "size": "1.67GB"
+    },
+    {
+      "name": "AD_Stabilized_Motion/mm-Stabilized_mid.pth (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "animatediff",
+      "base": "SD1.x",
+      "save_path": "animatediff_models",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/manshoety/AD_Stabilized_Motion",
+      "filename": "mm-Stabilized_mid.pth",
+      "url": "https://huggingface.co/manshoety/AD_Stabilized_Motion/resolve/main/mm-Stabilized_mid.pth",
+      "size": "1.67GB"
+    },
+    {
+      "name": "CiaraRowles/temporaldiff-v1-animatediff.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "animatediff",
+      "base": "SD1.x",
+      "save_path": "animatediff_models",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/CiaraRowles/TemporalDiff",
+      "filename": "temporaldiff-v1-animatediff.ckpt",
+      "url": "https://huggingface.co/CiaraRowles/TemporalDiff/resolve/main/temporaldiff-v1-animatediff.ckpt",
+      "size": "1.67GB"
+    },
+    {
+      "name": "animatediff/v2_lora_PanLeft.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "motion lora",
+      "base": "SD1.x",
+      "save_path": "animatediff_motion_lora",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v2_lora_PanLeft.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_PanLeft.ckpt",
+      "size": "77.5MB"
+    },
+    {
+      "name": "animatediff/v2_lora_PanRight.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "motion lora",
+      "base": "SD1.x",
+      "save_path": "animatediff_motion_lora",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v2_lora_PanRight.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_PanRight.ckpt",
+      "size": "77.5MB"
+    },
+    {
+      "name": "animatediff/v2_lora_RollingAnticlockwise.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "motion lora",
+      "base": "SD1.x",
+      "save_path": "animatediff_motion_lora",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v2_lora_RollingAnticlockwise.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_RollingAnticlockwise.ckpt",
+      "size": "77.5MB"
+    },
+    {
+      "name": "animatediff/v2_lora_RollingClockwise.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "motion lora",
+      "base": "SD1.x",
+      "save_path": "animatediff_motion_lora",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v2_lora_RollingClockwise.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_RollingClockwise.ckpt",
+      "size": "77.5MB"
+    },
+    {
+      "name": "animatediff/v2_lora_TiltDown.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "motion lora",
+      "base": "SD1.x",
+      "save_path": "animatediff_motion_lora",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v2_lora_TiltDown.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_TiltDown.ckpt",
+      "size": "77.5MB"
+    },
+    {
+      "name": "animatediff/v2_lora_TiltUp.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "motion lora",
+      "base": "SD1.x",
+      "save_path": "animatediff_motion_lora",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v2_lora_TiltUp.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_TiltUp.ckpt",
+      "size": "77.5MB"
+    },
+    {
+      "name": "animatediff/v2_lora_ZoomIn.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "motion lora",
+      "base": "SD1.x",
+      "save_path": "animatediff_motion_lora",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v2_lora_ZoomIn.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_ZoomIn.ckpt",
+      "size": "77.5MB"
+    },
+    {
+      "name": "animatediff/v2_lora_ZoomOut.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "motion lora",
+      "base": "SD1.x",
+      "save_path": "animatediff_motion_lora",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v2_lora_ZoomOut.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v2_lora_ZoomOut.ckpt",
+      "size": "77.5MB"
+    },
+    {
+      "name": "LongAnimatediff/lt_long_mm_32_frames.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "animatediff",
+      "base": "SD1.x",
+      "save_path": "animatediff_models",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/Lightricks/LongAnimateDiff",
+      "filename": "lt_long_mm_32_frames.ckpt",
+      "url": "https://huggingface.co/Lightricks/LongAnimateDiff/resolve/main/lt_long_mm_32_frames.ckpt",
+      "size": "1.82GB"
+    },
+    {
+      "name": "LongAnimatediff/lt_long_mm_16_64_frames.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "animatediff",
+      "base": "SD1.x",
+      "save_path": "animatediff_models",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/Lightricks/LongAnimateDiff",
+      "filename": "lt_long_mm_16_64_frames.ckpt",
+      "url": "https://huggingface.co/Lightricks/LongAnimateDiff/resolve/main/lt_long_mm_16_64_frames.ckpt",
+      "size": "1.83GB"
+    },
+    {
+      "name": "LongAnimatediff/lt_long_mm_16_64_frames_v1.1.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
+      "type": "animatediff",
+      "base": "SD1.x",
+      "save_path": "animatediff_models",
+      "description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
+      "reference": "https://huggingface.co/Lightricks/LongAnimateDiff",
+      "filename": "lt_long_mm_16_64_frames_v1.1.ckpt",
+      "url": "https://huggingface.co/Lightricks/LongAnimateDiff/resolve/main/lt_long_mm_16_64_frames_v1.1.ckpt",
+      "size": "1.83GB"
+    },
+    {
+      "name": "animatediff/v3_sd15_sparsectrl_rgb.ckpt (ComfyUI-AnimateDiff-Evolved)",
+      "type": "controlnet",
+      "base": "SD1.x",
+      "save_path": "controlnet/SD1.5/animatediff",
+      "description": "AnimateDiff SparseCtrl RGB ControlNet model",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v3_sd15_sparsectrl_rgb.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_sparsectrl_rgb.ckpt",
+      "size": "1.99GB"
+    },
+    {
+      "name": "animatediff/v3_sd15_sparsectrl_scribble.ckpt",
+      "type": "controlnet",
+      "base": "SD1.x",
+      "save_path": "controlnet/SD1.5/animatediff",
+      "description": "AnimateDiff SparseCtrl Scribble ControlNet model",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v3_sd15_sparsectrl_scribble.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_sparsectrl_scribble.ckpt",
+      "size": "1.99GB"
+    },
+    {
+      "name": "animatediff/v3_sd15_adapter.ckpt",
+      "type": "lora",
+      "base": "SD1.x",
+      "save_path": "loras/SD1.5/animatediff",
+      "description": "AnimateDiff Adapter LoRA (SD1.5)",
+      "reference": "https://huggingface.co/guoyww/animatediff",
+      "filename": "v3_sd15_adapter.ckpt",
+      "url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_adapter.ckpt",
+      "size": "102.1MB"
+    },
+    {
+      "name": "TencentARC/motionctrl.pth",
+      "type": "checkpoint",
+      "base": "MotionCtrl",
+      "save_path": "checkpoints/motionctrl",
+      "description": "To use the ComfyUI-MotionCtrl extension, downloading this model is required.",
+      "reference": "https://huggingface.co/TencentARC/MotionCtrl",
+      "filename": "motionctrl.pth",
+      "url": "https://huggingface.co/TencentARC/MotionCtrl/resolve/main/motionctrl.pth",
+      "size": "4.02GB"
+    },
+    {
+      "name": "ip-adapter_sd15.safetensors",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter_sd15.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.safetensors",
+      "size": "44.6MB"
+    },
+    {
+      "name": "ip-adapter_sd15_light_v11.bin",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter_sd15_light_v11.bin",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15_light_v11.bin",
+      "size": "44.6MB"
+    },
+    {
+      "name": "ip-adapter_sd15_light.safetensors [DEPRECATED]",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter_sd15_light.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15_light.safetensors",
+      "size": "44.6MB"
+    },
+    {
+      "name": "ip-adapter-plus_sd15.safetensors",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter-plus_sd15.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus_sd15.safetensors",
+      "size": "98.2MB"
+    },
+    {
+      "name": "ip-adapter-plus-face_sd15.safetensors",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter-plus-face_sd15.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus-face_sd15.safetensors",
+      "size": "98.2MB"
+    },
+    {
+      "name": "ip-adapter-full-face_sd15.safetensors",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter-full-face_sd15.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-full-face_sd15.safetensors",
+      "size": "43.6MB"
+    },
+    {
+      "name": "ip-adapter_sd15_vit-G.safetensors",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter_sd15_vit-G.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15_vit-G.safetensors",
+      "size": "46.2MB"
+    },
+    {
+      "name": "ip-adapter-faceid_sd15.bin",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "IP-Adapter-FaceID Model (SD1.5) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid_sd15.bin",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sd15.bin",
+      "size": "96.7MB"
+    },
+    {
+      "name": "ip-adapter-faceid-plusv2_sd15.bin",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "IP-Adapter-FaceID Plus V2 Model (SD1.5) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid-plusv2_sd15.bin",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sd15.bin",
+      "size": "156.6MB"
+    },
+    {
+      "name": "ip-adapter-faceid-plus_sd15.bin [DEPRECATED]",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "IP-Adapter-FaceID Plus Model (SD1.5) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid-plus_sd15.bin",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plus_sd15.bin",
+      "size": "156.6MB"
+    },
+    {
+      "name": "ip-adapter-faceid-portrait-v11_sd15.bin",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "IP-Adapter-FaceID Portrait V11 Model (SD1.5) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid-portrait-v11_sd15.bin",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-portrait-v11_sd15.bin",
+      "size": "64.6MB"
+    },
+    {
+      "name": "ip-adapter-faceid-portrait_sd15.bin [DEPRECATED]",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "IP-Adapter-FaceID Portrait Model (SD1.5) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid-portrait_sd15.bin",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-portrait_sd15.bin",
+      "size": "64.6MB"
+    },
+    {
+      "name": "ip-adapter-faceid_sdxl.bin",
+      "type": "IP-Adapter",
+      "base": "SDXL",
+      "save_path": "ipadapter",
+      "description": "IP-Adapter-FaceID Model (SDXL) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid_sdxl.bin",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sdxl.bin",
+      "size": "1.07GB"
+    },
+    {
+      "name": "ip-adapter-faceid-plusv2_sdxl.bin",
+      "type": "IP-Adapter",
+      "base": "SDXL",
+      "save_path": "ipadapter",
+      "description": "IP-Adapter-FaceID Plus Model (SDXL) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid-plusv2_sdxl.bin",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sdxl.bin",
+      "size": "1.49GB"
+    },
+    {
+      "name": "ip-adapter-faceid-portrait_sdxl.bin",
+      "type": "IP-Adapter",
+      "base": "SDXL",
+      "save_path": "ipadapter",
+      "description": "IP-Adapter-FaceID Portrait Model (SDXL) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid-portrait_sdxl.bin",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-portrait_sdxl.bin",
+      "size": "749.8MB"
+    },
+    {
+      "name": "ip-adapter-faceid-portrait_sdxl_unnorm.bin",
+      "type": "IP-Adapter",
+      "base": "SDXL",
+      "save_path": "ipadapter",
+      "description": "IP-Adapter-FaceID Portrait Model (SDXL/unnorm) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid-portrait_sdxl_unnorm.bin",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-portrait_sdxl_unnorm.bin",
+      "size": "1.01GB"
+    },
+    {
+      "name": "ip-adapter-faceid_sd15_lora.safetensors",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/ipadapter",
+      "description": "IP-Adapter-FaceID LoRA Model (SD1.5) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid_sd15_lora.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sd15_lora.safetensors",
+      "size": "51.1MB"
+    },
+    {
+      "name": "ip-adapter-faceid-plus_sd15_lora.safetensors [DEPRECATED]",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/ipadapter",
+      "description": "IP-Adapter-FaceID Plus LoRA Model (SD1.5) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid-plus_sd15_lora.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plus_sd15_lora.safetensors",
+      "size": "51.1MB"
+    },
+    {
+      "name": "ip-adapter-faceid-plusv2_sd15_lora.safetensors",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/ipadapter",
+      "description": "IP-Adapter-FaceID-Plus V2 LoRA Model (SD1.5) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid-plusv2_sd15_lora.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sd15_lora.safetensors",
+      "size": "51.1MB"
+    },
+    {
+      "name": "ip-adapter-faceid_sdxl_lora.safetensors",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/ipadapter",
+      "description": "IP-Adapter-FaceID LoRA Model (SDXL) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid_sdxl_lora.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sdxl_lora.safetensors",
+      "size": "371.8MB"
+    },
+    {
+      "name": "ip-adapter-faceid-plusv2_sdxl_lora.safetensors",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/ipadapter",
+      "description": "IP-Adapter-FaceID-Plus V2 LoRA Model (SDXL) [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
+      "filename": "ip-adapter-faceid-plusv2_sdxl_lora.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sdxl_lora.safetensors",
+      "size": "371.8MB"
+    },
+    {
+      "name": "ip-adapter_sdxl.safetensors",
+      "type": "IP-Adapter",
+      "base": "SDXL",
+      "save_path": "ipadapter",
+      "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter_sdxl.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter_sdxl.safetensors",
+      "size": "702.6MB"
+    },
+    {
+      "name": "ip-adapter_sdxl_vit-h.safetensors",
+      "type": "IP-Adapter",
+      "base": "SDXL",
+      "save_path": "ipadapter",
+      "description": "This model requires the use of the SD1.5 encoder despite being for SDXL checkpoints [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter_sdxl_vit-h.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter_sdxl_vit-h.safetensors",
+      "size": "698.4MB"
+    },
+    {
+      "name": "ip-adapter-plus_sdxl_vit-h.safetensors",
+      "type": "IP-Adapter",
+      "base": "SDXL",
+      "save_path": "ipadapter",
+      "description": "This model requires the use of the SD1.5 encoder despite being for SDXL checkpoints [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter-plus_sdxl_vit-h.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus_sdxl_vit-h.safetensors",
+      "size": "847.5MB"
+    },
+    {
+      "name": "ip-adapter-plus-face_sdxl_vit-h.safetensors",
+      "type": "IP-Adapter",
+      "base": "SDXL",
+      "save_path": "ipadapter",
+      "description": "This model requires the use of the SD1.5 encoder despite being for SDXL checkpoints [ipadapter]",
+      "reference": "https://huggingface.co/h94/IP-Adapter",
+      "filename": "ip-adapter-plus-face_sdxl_vit-h.safetensors",
+      "url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus-face_sdxl_vit-h.safetensors",
+      "size": "847.5MB"
+    },
+    {
+      "name": "ip_plus_composition_sd15.safetensors",
+      "type": "IP-Adapter",
+      "base": "SD1.5",
+      "save_path": "ipadapter",
+      "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+      "reference": "https://huggingface.co/ostris/ip-composition-adapter",
+      "filename": "ip_plus_composition_sd15.safetensors",
+      "url": "https://huggingface.co/ostris/ip-composition-adapter/resolve/main/ip_plus_composition_sd15.safetensors",
+      "size": "98.2MB"
+    },
+    {
+      "name": "ip_plus_composition_sdxl.safetensors",
+      "type": "IP-Adapter",
+      "base": "SDXL",
+      "save_path": "ipadapter",
+      "description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
+      "reference": "https://huggingface.co/ostris/ip-composition-adapter",
+      "filename": "ip_plus_composition_sdxl.safetensors",
+      "url": "https://huggingface.co/ostris/ip-composition-adapter/resolve/main/ip_plus_composition_sdxl.safetensors",
+      "size": "847.5MB"
+    },
+    {
+      "name": "pfg-novel-n10.pt",
+      "type": "PFG",
+      "base": "SD1.5",
+      "save_path": "custom_nodes/pfg-ComfyUI/models",
+      "description": "Pressing 'install' directly downloads the model from the pfg-ComfyUI/models extension node. (Note: Requires ComfyUI-Manager V0.24 or above)",
+      "reference": "https://huggingface.co/furusu/PFG",
+      "filename": "pfg-novel-n10.pt",
+      "url": "https://huggingface.co/furusu/PFG/resolve/main/pfg-novel-n10.pt",
+      "size": "23.6MB"
+    },
+    {
+      "name": "pfg-wd14-n10.pt",
+      "type": "PFG",
+      "base": "SD1.5",
+      "save_path": "custom_nodes/pfg-ComfyUI/models",
+      "description": "Pressing 'install' directly downloads the model from the pfg-ComfyUI/models extension node. (Note: Requires ComfyUI-Manager V0.24 or above)",
+      "reference": "https://huggingface.co/furusu/PFG",
+      "filename": "pfg-wd14-n10.pt",
+      "url": "https://huggingface.co/furusu/PFG/resolve/main/pfg-wd14-n10.pt",
+      "size": "31.5MB"
+    },
+    {
+      "name": "pfg-wd15beta2-n10.pt",
+      "type": "PFG",
+      "base": "SD1.5",
+      "save_path": "custom_nodes/pfg-ComfyUI/models",
+      "description": "Pressing 'install' directly downloads the model from the pfg-ComfyUI/models extension node. (Note: Requires ComfyUI-Manager V0.24 or above)",
+      "reference": "https://huggingface.co/furusu/PFG",
+      "filename": "pfg-wd15beta2-n10.pt",
+      "url": "https://huggingface.co/furusu/PFG/resolve/main/pfg-wd15beta2-n10.pt",
+      "size": "31.5MB"
+    },
+    {
+      "name": "GFPGANv1.4.pth",
+      "type": "GFPGAN",
+      "base": "GFPGAN",
+      "save_path": "facerestore_models",
+      "description": "Face Restoration Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+      "reference": "https://github.com/TencentARC/GFPGAN/releases",
+      "filename": "GFPGANv1.4.pth",
+      "url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth",
+      "size": "348.6MB"
+    },
+    {
+      "name": "codeformer.pth",
+      "type": "CodeFormer",
+      "base": "CodeFormer",
+      "save_path": "facerestore_models",
+      "description": "Face Restoration Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+      "reference": "https://github.com/sczhou/CodeFormer/releases",
+      "filename": "codeformer.pth",
+      "url": "https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth",
+      "size": "376.6MB"
+    },
+    {
+      "name": "detection_Resnet50_Final.pth",
+      "type": "facexlib",
+      "base": "facexlib",
+      "save_path": "facerestore_models",
+      "description": "Face Detection Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+      "reference": "https://github.com/xinntao/facexlib",
+      "filename": "detection_Resnet50_Final.pth",
+      "url": "https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth",
+      "size": "109.5MB"
+    },
+    {
+      "name": "detection_mobilenet0.25_Final.pth",
+      "type": "facexlib",
+      "base": "facexlib",
+      "save_path": "facerestore_models",
+      "description": "Face Detection Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+      "reference": "https://github.com/xinntao/facexlib",
+      "filename": "detection_mobilenet0.25_Final.pth",
+      "url": "https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_mobilenet0.25_Final.pth",
+      "size": "1.79MB"
+    },
+    {
+      "name": "yolov5l-face.pth",
+      "type": "facexlib",
+      "base": "facexlib",
+      "save_path": "facedetection",
+      "description": "Face Detection Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+      "reference": "https://github.com/xinntao/facexlib",
+      "filename": "yolov5l-face.pth",
+      "url": "https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/yolov5l-face.pth",
+      "size": "187.0MB"
+    },
+    {
+      "name": "yolov5n-face.pth",
+      "type": "facexlib",
+      "base": "facexlib",
+      "save_path": "facedetection",
+      "description": "Face Detection Models. Download the model required for using the 'Facerestore CF (Code Former)' custom node.",
+      "reference": "https://github.com/xinntao/facexlib",
+      "filename": "yolov5n-face.pth",
+      "url": "https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/yolov5n-face.pth",
+      "size": "7.15MB"
+    },
+    {
+      "name": "photomaker-v1.bin",
+      "type": "photomaker",
+      "base": "SDXL",
+      "save_path": "photomaker",
+      "description": "PhotoMaker model. This model is compatible with SDXL.",
+      "reference": "https://huggingface.co/TencentARC/PhotoMaker",
+      "filename": "photomaker-v1.bin",
+      "url": "https://huggingface.co/TencentARC/PhotoMaker/resolve/main/photomaker-v1.bin",
+      "size": "934.1MB"
+    },
+    {
+      "name": "photomaker-v2.bin",
+      "type": "photomaker",
+      "base": "SDXL",
+      "save_path": "photomaker",
+      "description": "PhotoMaker model. This model is compatible with SDXL.",
+      "reference": "https://huggingface.co/TencentARC/PhotoMaker-V2",
+      "filename": "photomaker-v2.bin",
+      "url": "https://huggingface.co/TencentARC/PhotoMaker-V2/resolve/main/photomaker-v2.bin",
+      "size": "1.8GB"
+    },
+    {
+      "name": "1k3d68.onnx",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface/models/antelopev2",
+      "description": "Antelopev2 1k3d68.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
+      "reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
+      "filename": "1k3d68.onnx",
+      "url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/1k3d68.onnx",
+      "size": "143.6MB"
+    },
+    {
+      "name": "2d106det.onnx",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface/models/antelopev2",
+      "description": "Antelopev2 2d106det.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
+      "reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
+      "filename": "2d106det.onnx",
+      "url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/2d106det.onnx",
+      "size": "5.03MB"
+    },
+    {
+      "name": "genderage.onnx",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface/models/antelopev2",
+      "description": "Antelopev2 genderage.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
+      "reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
+      "filename": "genderage.onnx",
+      "url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/genderage.onnx",
+      "size": "1.32MB"
+    },
+    {
+      "name": "glintr100.onnx",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface/models/antelopev2",
+      "description": "Antelopev2 glintr100.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
+      "reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
+      "filename": "glintr100.onnx",
+      "url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/glintr100.onnx",
+      "size": "260.7MB"
+    },
+    {
+      "name": "scrfd_10g_bnkps.onnx",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface/models/antelopev2",
+      "description": "Antelopev2 scrfd_10g_bnkps.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
+      "reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
+      "filename": "scrfd_10g_bnkps.onnx",
+      "url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/scrfd_10g_bnkps.onnx",
+      "size": "16.9MB"
+    },
+    {
+      "name": "ip-adapter.bin",
+      "type": "instantid",
+      "base": "SDXL",
+      "save_path": "instantid",
+      "description": "InstantId main model based on IpAdapter",
+      "reference": "https://huggingface.co/InstantX/InstantID",
+      "filename": "ip-adapter.bin",
+      "url": "https://huggingface.co/InstantX/InstantID/resolve/main/ip-adapter.bin",
+      "size": "1.69GB"
+    },
+    {
+      "name": "diffusion_pytorch_model.safetensors",
+      "type": "controlnet",
+      "base": "SDXL",
+      "save_path": "controlnet/instantid",
+      "description": "InstantId controlnet model",
+      "reference": "https://huggingface.co/InstantX/InstantID",
+      "filename": "diffusion_pytorch_model.safetensors",
+      "url": "https://huggingface.co/InstantX/InstantID/resolve/main/ControlNetModel/diffusion_pytorch_model.safetensors",
+      "size": "2.50GB"
+    },
+    {
+      "name": "efficient_sam_s_cpu.jit [ComfyUI-YoloWorld-EfficientSAM]",
+      "type": "efficient_sam",
+      "base": "efficient_sam",
+      "save_path": "custom_nodes/ComfyUI-YoloWorld-EfficientSAM",
+      "description": "Install efficient_sam_s_cpu.jit into ComfyUI-YoloWorld-EfficientSAM",
+      "reference": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/tree/main",
+      "filename": "efficient_sam_s_cpu.jit",
+      "url": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/resolve/main/efficient_sam_s_cpu.jit",
+      "size": "106.0MB"
+    },
+    {
+      "name": "efficient_sam_s_gpu.jit [ComfyUI-YoloWorld-EfficientSAM]",
+      "type": "efficient_sam",
+      "base": "efficient_sam",
+      "save_path": "custom_nodes/ComfyUI-YoloWorld-EfficientSAM",
+      "description": "Install efficient_sam_s_gpu.jit into ComfyUI-YoloWorld-EfficientSAM",
+      "reference": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/tree/main",
+      "filename": "efficient_sam_s_gpu.jit",
+      "url": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/resolve/main/efficient_sam_s_gpu.jit",
+      "size": "106.0MB"
+    },
+    {
+      "name": "shape_predictor_68_face_landmarks.dat [Face Analysis]",
+      "type": "Shape Predictor",
+      "base": "DLIB",
+      "save_path": "custom_nodes/ComfyUI_FaceAnalysis/dlib",
+      "description": "To use the Face Analysis for ComfyUI custom node, installation of this model is needed.",
+      "reference": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/tree/main",
+      "filename": "shape_predictor_68_face_landmarks.dat",
+      "url": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/resolve/main/shape_predictor_68_face_landmarks.dat",
+      "size": "99.7MB"
+    },
+    {
+      "name": "dlib_face_recognition_resnet_model_v1.dat [Face Analysis]",
+      "type": "Face Recognition",
+      "base": "DLIB",
+      "save_path": "custom_nodes/ComfyUI_FaceAnalysis/dlib",
+      "description": "To use the Face Analysis for ComfyUI custom node, installation of this model is needed.",
+      "reference": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/tree/main",
+      "filename": "dlib_face_recognition_resnet_model_v1.dat",
+      "url": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/resolve/main/dlib_face_recognition_resnet_model_v1.dat",
+      "size": "22.5MB"
+    },
+    {
+      "name": "InstanceDiffusion/fusers",
+      "type": "InstanceDiffusion",
+      "base": "SD1.5",
+      "save_path": "instance_models/fuser_models",
+      "description": "Fusers checkpoints for multi-object prompting with InstanceDiffusion.",
+      "reference": "https://huggingface.co/logtd/instance_diffusion",
+      "filename": "fusers.ckpt",
+      "url": "https://huggingface.co/logtd/instance_diffusion/resolve/main/fusers.ckpt",
+      "size": "832.1MB"
+    },
+    {
+      "name": "InstanceDiffusion/position_net",
+      "type": "InstanceDiffusion",
+      "base": "SD1.5",
+      "save_path": "instance_models/positionnet_models",
+      "description": "PositionNet checkpoints for multi-object prompting with InstanceDiffusion.",
+      "reference": "https://huggingface.co/logtd/instance_diffusion",
+      "filename": "position_net.ckpt",
+      "url": "https://huggingface.co/logtd/instance_diffusion/resolve/main/position_net.ckpt",
+      "size": "643.2MB"
+    },
+    {
+      "name": "InstanceDiffusion/scaleu",
+      "type": "InstanceDiffusion",
+      "base": "SD1.5",
+      "save_path": "instance_models/scaleu_models",
+      "description": "ScaleU checkpoints for multi-object prompting with InstanceDiffusion.",
+      "reference": "https://huggingface.co/logtd/instance_diffusion",
+      "filename": "scaleu.ckpt",
+      "url": "https://huggingface.co/logtd/instance_diffusion/resolve/main/scaleu.ckpt",
+      "size": "53.1KB"
+    },
+    {
+      "name": "1k3d68.onnx",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface/models/buffalo_l",
+      "description": "Buffalo_l 1k3d68.onnx model for IpAdapterPlus",
+      "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus?tab=readme-ov-file#faceid",
+      "filename": "1k3d68.onnx",
+      "url": "https://huggingface.co/public-data/insightface/resolve/main/models/buffalo_l/1k3d68.onnx",
+      "size": "143.6MB"
+    },
+    {
+      "name": "2d106det.onnx",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface/models/buffalo_l",
+      "description": "Buffalo_l 2d106det.onnx model for IpAdapterPlus",
+      "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus?tab=readme-ov-file#faceid",
+      "filename": "2d106det.onnx",
+      "url": "https://huggingface.co/public-data/insightface/resolve/main/models/buffalo_l/2d106det.onnx",
+      "size": "5.03MB"
+    },
+    {
+      "name": "det_10g.onnx",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface/models/buffalo_l",
+      "description": "Buffalo_l det_10g.onnx model for IpAdapterPlus",
+      "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus?tab=readme-ov-file#faceid",
+      "filename": "det_10g.onnx",
+      "url": "https://huggingface.co/public-data/insightface/resolve/main/models/buffalo_l/det_10g.onnx",
+      "size": "16.9MB"
+    },
+    {
+      "name": "genderage.onnx",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface/models/buffalo_l",
+      "description": "Buffalo_l genderage.onnx model for IpAdapterPlus",
+      "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus?tab=readme-ov-file#faceid",
+      "filename": "genderage.onnx",
+      "url": "https://huggingface.co/public-data/insightface/resolve/main/models/buffalo_l/genderage.onnx",
+      "size": "1.32MB"
+    },
+    {
+      "name": "w600k_r50.onnx",
+      "type": "insightface",
+      "base": "inswapper",
+      "save_path": "insightface/models/buffalo_l",
+      "description": "Buffalo_l w600k_r50.onnx model for IpAdapterPlus",
+      "reference": "https://github.com/cubiq/ComfyUI_IPAdapter_plus?tab=readme-ov-file#faceid",
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+      "description": "FLUX.1 VAE model",
+      "reference": "https://huggingface.co/black-forest-labs/FLUX.1-schnell",
+      "filename": "ae.safetensors",
+      "url": "https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/ae.safetensors",
+      "size": "335MB"
+    },
+
+    {
+      "name": "kijai/FLUX.1 [schnell] Diffusion model (float8_e4m3fn)",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Schnell] Diffusion model (float8_e4m3fn)",
+      "reference": "https://huggingface.co/Kijai/flux-fp8",
+      "filename": "flux1-schnell-fp8.safetensors",
+      "url": "https://huggingface.co/Kijai/flux-fp8/resolve/main/flux1-schnell-fp8.safetensors",
+      "size": "11.9GB"
+    },
+    {
+      "name": "kijai/FLUX.1 [dev] Diffusion model (float8_e4m3fn)",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [dev] Diffusion model (float8_e4m3fn)",
+      "reference": "https://huggingface.co/Kijai/flux-fp8",
+      "filename": "flux1-dev-fp8.safetensors",
+      "url": "https://huggingface.co/Kijai/flux-fp8/resolve/main/flux1-dev-fp8.safetensors",
+      "size": "11.9GB"
+    },
+
+    {
+      "name": "Comfy Org/FLUX.1 [dev] Checkpoint model (fp8)",
+      "type": "checkpoint",
+      "base": "FLUX.1",
+      "save_path": "checkpoints/FLUX1",
+      "description": "FLUX.1 [dev] Checkpoint model (fp8)",
+      "reference": "https://huggingface.co/Comfy-Org/flux1-dev/tree/main",
+      "filename": "flux1-dev-fp8.safetensors",
+      "url": "https://huggingface.co/Comfy-Org/flux1-dev/resolve/main/flux1-dev-fp8.safetensors",
+      "size": "17.2GB"
+    },
+    {
+      "name": "Comfy Org/FLUX.1 [schnell] Checkpoint model (fp8)",
+      "type": "checkpoint",
+      "base": "FLUX.1",
+      "save_path": "checkpoints/FLUX1",
+      "description": "FLUX.1 [schnell] Checkpoint model (fp8)",
+      "reference": "https://huggingface.co/Comfy-Org/flux1-dev/tree/main",
+      "filename": "flux1-schnell-fp8.safetensors",
+      "url": "https://huggingface.co/Comfy-Org/flux1-schnell/resolve/main/flux1-schnell-fp8.safetensors",
+      "size": "17.2GB"
+    },
+
+    {
+      "name": "city96/flux1-dev-F16.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_model/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (f16/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-F16.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-F16.gguf",
+      "size": "23.8GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q2_K.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q2_K/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q2_K.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q2_K.gguf",
+      "size": "4.03GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q3_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q3_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q3_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q3_K_S.gguf",
+      "size": "5.23GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q4_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q4_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q4_0.gguf",
+      "size": "6.79GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q4_1.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_1/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q4_1.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q4_1.gguf",
+      "size": "7.53GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q4_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q4_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q4_K_S.gguf",
+      "size": "6.81GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q5_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q5_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q5_0.gguf",
+      "size": "8.27GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q5_1.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_1/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q5_1.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q5_1.gguf",
+      "size": "9.01GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q5_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q5_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q5_K_S.gguf",
+      "size": "8.29GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q6_K.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q6_K/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q6_K.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q6_K.gguf",
+      "size": "9.86GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q8_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q8_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q8_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q8_0.gguf",
+      "size": "12.7GB"
+    },
+
+    {
+      "name": "city96/flux1-schnell-F16.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (f16/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-F16.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-F16.gguf",
+      "size": "23.8GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q2_K.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q2_K/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q2_K.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q2_K.gguf",
+      "size": "4.01GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q3_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q3_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q3_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q3_K_S.gguf",
+      "size": "5.21GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q4_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q4_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q4_0.gguf",
+      "size": "6.77GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q4_1.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_1/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q4_1.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q4_1.gguf",
+      "size": "7.51GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q4_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q4_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q4_K_S.gguf",
+      "size": "6.78GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q5_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q5_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q5_0.gguf",
+      "size": "8.25GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q5_1.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_1/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q5_1.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q5_1.gguf",
+      "size": "8.99GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q5_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q5_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q5_K_S.gguf",
+      "size": "8.26GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q6_K.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q6_K/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q6_K.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q6_K.gguf",
+      "size": "9.83GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q8_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q8_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q8_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q8_0.gguf",
+      "size": "12.7GB"
+    },
+
+    {
+      "name": "BAAI/SegGPT",
+      "type": "SegGPT",
+      "base": "SegGPT",
+      "save_path": "custom_nodes/comfyui-SegGPT",
+      "description": "SegGPT",
+      "reference": "https://huggingface.co/BAAI/SegGPT",
+      "filename": "seggpt_vit_large.pth",
+      "url": "https://huggingface.co/BAAI/SegGPT/resolve/main/seggpt_vit_large.pth",
+      "size": "1.48GB"
+    }
+  ]
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/custom-node-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/custom-node-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..dec2ea70f7c2558c8c48d82ab96e7bbb30b8acea
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/custom-node-list.json
@@ -0,0 +1,2166 @@
+{
+    "custom_nodes": [
+        {
+            "author": "#NOTICE_1.13",
+            "title": "NOTICE: This channel is not the default channel.",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Manager",
+            "files": [],
+            "install_type": "git-clone",
+            "description": "If you see this message, your ComfyUI-Manager is outdated.\nDev channel provides only the list of the developing nodes. If you want to find the complete node list, please go to the Default channel."
+        },
+
+
+
+
+        {
+            "author": "Lilien86",
+            "title": "lauger NodePack for ComfyUI",
+            "reference": "https://github.com/Lilien86/lauger_NP_comfyui",
+            "files": [
+                "https://github.com/Lilien86/lauger_NP_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Hey everyone it's my Custom ComfyUI Nodes Pack repository! This project contains a collection of custom nodes designed to extend the functionality of ComfyUI. These nodes offer capabilities and new creative possibilities, especially in the realms of latent space manipulation and interpolation.\nNOTE: The files in the repo are not organized."
+        },
+        {
+            "author": "haodman",
+            "title": "ComfyUI_Rain",
+            "reference": "https://github.com/haodman/ComfyUI_Rain",
+            "files": [
+                "https://github.com/haodman/ComfyUI_Rain"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:Rain_ValueSwitch, Rain_Math, Rain_IntToFloat, Rain_ImageSize."
+        },
+        {
+            "author": "bananasss00",
+            "title": "Comfyui-PyExec [UNSAFE]",
+            "reference": "https://github.com/bananasss00/Comfyui-PyExec",
+            "files": [
+                "https://github.com/bananasss00/Comfyui-PyExec"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:PyExec.[w/This node allows access to arbitrary files through the workflow, which could pose a security threat.]"
+        },
+        {
+            "author": "jgbrblmd",
+            "title": "ComfyUI-ComfyFluxSize [WIP]",
+            "reference": "https://github.com/jgbrblmd/ComfyUI-ComfyFluxSize",
+            "files": [
+                "https://github.com/jgbrblmd/ComfyUI-ComfyFluxSize"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ComfyFlux Size\nNOTE: The files in the repo are not organized."
+        },
+        {
+            "author": "yojimbodayne",
+            "title": "ComfyUI-Dropbox-API [WIP]",
+            "reference": "https://github.com/yojimbodayne/ComfyUI-Dropbox-API",
+            "files": [
+                "https://github.com/yojimbodayne/ComfyUI-Dropbox-API"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node package for ComfyUI allows users to interact with Dropbox API, enabling image, text, and video uploads, downloads, and management directly from ComfyUI workflows.\nNOTE: The files in the repo are not organized."
+        },
+        {
+            "author": "ilovejohnwhite",
+            "title": "Kolors Awesome Prompts [WIP]",
+            "reference": "https://github.com/ilovejohnwhite/Tracer",
+            "files": [
+                "https://github.com/ilovejohnwhite/Tracer"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image Load TTK, SuckerPunch, LinkMasterNode, PixelPerfectResolution, ImageGenResolutionFromImage, ImageGenResolutionFromLatent, HintImageEnchance\nNOTE: The files in the repo are not organized."
+        },
+        {
+            "author": "shuanshtalon468uan",
+            "title": "ComfyUI-Rpg-Architect [WIP]",
+            "reference": "https://github.com/talon468/ComfyUI-Rpg-Architect",
+            "files": [
+                "https://github.com/talon468/ComfyUI-Rpg-Architect"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom Node for ComfyUI to create RPG Characters\nNOTE: The files in the repo are not organized."
+        },
+        {
+            "author": "shuanshuan",
+            "title": "ComfyUI_CheckPointLoader_Ext [WIP]",
+            "reference": "https://github.com/shuanshuan/ComfyUI_CheckPointLoader_Ext",
+            "files": [
+                "https://github.com/shuanshuan/ComfyUI_CheckPointLoader_Ext"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:Checkpoint Loader Ext"
+        },
+        {
+            "author": "123jimin",
+            "title": "ComfyUI MobileForm [WIP]",
+            "reference": "https://github.com/123jimin/ComfyUI-MobileForm",
+            "files": [
+                "https://github.com/123jimin/ComfyUI-MobileForm"
+            ],
+            "install_type": "git-clone",
+            "description": "MobileForm is an extension for ComfyUI, providing simple form for any workflows, suitable for use on mobile phones.[w/Currently MobileForm is in a PoC state; expect bugs and breaking changes.]"
+        },
+        {
+            "author": "go-package-lab",
+            "title": "ComfyUI-Tools-Video-Combine [WIP]",
+            "reference": "https://github.com/go-package-lab/ComfyUI-Tools-Video-Combine",
+            "files": [
+                "https://github.com/go-package-lab/ComfyUI-Tools-Video-Combine"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:LoadAudioUrl, VideoWatermark"
+        },
+        {
+            "author": "jinljin",
+            "title": "ComfyUI-Talking-Head [WIP]",
+            "reference": "https://github.com/jinljin/ComfyUI-ElevenlabsAndDID-Combine",
+            "files": [
+                "https://github.com/jinljin/ComfyUI-ElevenlabsAndDID-Combine"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Talking-Head"
+        },
+        {
+            "author": "zhongpei",
+            "title": "Comfyui_image2prompt",
+            "id": "img2prompt",
+            "reference": "https://github.com/zhongpei/Comfyui_image2prompt",
+            "files": [
+                "https://github.com/zhongpei/Comfyui_image2prompt"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image to Text, Loader Image to Text Model.[w/This custom node may break dependencies by reinstalling the torch package.]"
+        },
+        {
+            "author": "APZmedia",
+            "title": "comfyui-textools [WIP]",
+            "reference": "https://github.com/APZmedia/comfyui-textools",
+            "files": [
+                "https://github.com/APZmedia/comfyui-textools"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-textools is a collection of custom nodes designed for use with ComfyUI. These nodes enhance text processing capabilities, including applying rich text overlays on images and cleaning file names for safe and consistent file management.\nNOTE: The files in the repo are not organized."
+        },
+        {
+            "author": "VykosX",
+            "title": "ControlFlowUtils [UNSTABLE]",
+            "reference": "https://github.com/VykosX/ControlFlowUtils",
+            "files": [
+                "https://github.com/VykosX/ControlFlowUtils"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes for ComfyUI to enable flow control with advanced loops, conditional branching, logic operations and several other nifty utilities to enhance your ComfyUI workflows"
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-event-handler [USAFE]",
+            "reference": "https://github.com/shinich39/comfyui-event-handler",
+            "files": [
+                "https://github.com/shinich39/comfyui-event-handler"
+            ],
+            "install_type": "git-clone",
+            "description": "Javascript code will run when an event fires. [w/This node allows you to execute arbitrary JavaScript code as input for the workflow.]"
+        },
+        {
+            "author": "Comfy Org",
+            "title": "ComfyUI_devtools [WIP]",
+            "reference": "https://github.com/Comfy-Org/ComfyUI_devtools",
+            "files": [
+                "https://github.com/Comfy-Org/ComfyUI_devtools"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI developer tools (Custom Node)"
+        },
+        {
+            "author": "Sakura-nee",
+            "title": "ComfyUI_Save2Discord",
+            "reference": "https://github.com/Sakura-nee/ComfyUI_Save2Discord",
+            "files": [
+                "https://github.com/Sakura-nee/ComfyUI_Save2Discord"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Send Generated Image To Discord Webhook.\nNOTE: The files in the repo are not organized."
+        },
+        {
+            "author": "ThisModernDay",
+            "title": "ComfyUI Instructor Ollama",
+            "reference": "https://github.com/ThisModernDay/ComfyUI-InstructorOllama",
+            "files": [
+                "https://github.com/ThisModernDay/ComfyUI-InstructorOllama"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom ComfyUI Nodes for interacting with Ollama using the Instructor. Library to provide structured output from your LLM. To use this properly, you would need a running Ollama server reachable from the host that is running ComfyUI.\nNOTE: The files in the repo are not organized, which may lead to update issues."
+        },
+        {
+            "author": "gioferreira",
+            "title": "ComfyUI-Molde-Utils",
+            "reference": "https://github.com/gioferreira/ComfyUI-Molde-Utils",
+            "files": [
+                "https://github.com/gioferreira/ComfyUI-Molde-Utils"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Molde-Utils is a utility library designed to provide various helper functions for working with UI elements. This project includes modules for handling bezier curves and color conversions.\nNOTE: The files in the repo are not organized, which may lead to update issues."
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI nodes for VEnhancer [WIP]",
+            "reference": "https://github.com/kijai/ComfyUI-VEnhancer",
+            "files": [
+                "https://github.com/kijai/ComfyUI-VEnhancer"
+            ],
+            "install_type": "git-clone",
+            "description": "Original repo: [a/https://github.com/Vchitect/VEnhancer](https://github.com/Vchitect/VEnhancer)"
+        },
+        {
+            "author": "jimstudt",
+            "title": "Jim's ComfyUI Nodes [WIP]",
+            "reference": "https://github.com/jimstudt/ComfyUI-Jims-Nodes",
+            "files": [
+                "https://github.com/jimstudt/ComfyUI-Jims-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Zoom and Enhance Nodes, Text Dictionary Nodes"
+        },
+        {
+            "author": "hananbeer",
+            "title": "node_dev - ComfyUI Node Development Helper",
+            "reference": "https://github.com/hananbeer/node_dev",
+            "files": [
+                "https://github.com/hananbeer/node_dev"
+            ],
+            "install_type": "git-clone",
+            "description": "Browse to this endpoint to reload custom nodes for more streamlined development:\nhttp://127.0.0.1:8188/node_dev/reload/<module_name>"
+        },
+        {
+            "author": "Weixuanf",
+            "title": "ComfyUI extra model folder helper [WIP]",
+            "reference": "https://github.com/Weixuanf/extra-model-helper",
+            "files": [
+                "https://github.com/Weixuanf/extra-model-helper"
+            ],
+            "install_type": "git-clone",
+            "description": "this will automaticlaly read the subfolders like 'checkpoints', 'loras' under the extra model folder path you specify in extra_model_paths.yaml and add them to folder paths, so you don't need to define those subfolders one by one.\nNOTE: invalid pyproject.toml"
+        },
+        {
+            "author": "Weixuanf",
+            "title": "ComfyUI File Manager for nodecafe.co [WIP]",
+            "reference": "https://github.com/Weixuanf/nodecafe-file-manager",
+            "files": [
+                "https://github.com/Weixuanf/nodecafe-file-manager"
+            ],
+            "install_type": "git-clone",
+            "description": "To view and download files in ComfyUI\nNOTE: invalid pyproject.toml"
+        },
+        {
+            "author": "sebord",
+            "title": "ComfyUI-LMCQ [WIP]",
+            "reference": "https://github.com/sebord/ComfyUI-LMCQ",
+            "files": [
+                "https://github.com/sebord/ComfyUI-LMCQ"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI small node toolkit, this toolkit is mainly to update some practical small nodes, to make a contribution to the comfyui ecosystem, PS: 'LMCQ' is the abbreviation of the team name\nNOTE: The files in the repo are not organized, which may lead to update issues."
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-Fluxtapoz [WIP]",
+            "reference": "https://github.com/logtd/ComfyUI-Fluxtapoz",
+            "files": [
+                "https://github.com/logtd/ComfyUI-Fluxtapoz"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of nodes for editing images using Flux in ComfyUI"
+        },
+        {
+            "author": "ChrisColeTech",
+            "title": "ComfyUI-Get-Random-File [UNSAFE]",
+            "reference": "https://github.com/ChrisColeTech/ComfyUI-Get-Random-File",
+            "files": [
+                "https://github.com/ChrisColeTech/ComfyUI-Get-Random-File"
+            ],
+            "install_type": "git-clone",
+            "description": "Gets a random file from a directory. Returns the filpath as a STRING. [w/This node allows access to arbitrary files through the workflow, which could pose a security threat.]"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-Fluxtapoz [WIP]",
+            "reference": "https://github.com/logtd/ComfyUI-Fluxtapoz",
+            "files": [
+                "https://github.com/logtd/ComfyUI-Fluxtapoz"
+            ],
+            "install_type": "git-clone",
+            "description": "A set of nodes for editing images using Flux in ComfyUI"
+        },
+        {
+            "author": "neeltheninja",
+            "title": "ComfyUI-ControlNeXt [WIP]",
+            "reference": "https://github.com/neverbiasu/ComfyUI-ControlNeXt",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-ControlNeXt"
+            ],
+            "install_type": "git-clone",
+            "description": "In progress🚧"
+        },
+        {
+            "author": "neeltheninja",
+            "title": "ComfyUI-TextOverlay",
+            "reference": "https://github.com/neeltheninja/ComfyUI-TextOverlay",
+            "files": [
+                "https://github.com/neeltheninja/ComfyUI-TextOverlay"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for ComfyUI that adds text overlay to images, with options for text and background color, opacity, vertical positioning, and custom font selection. [w/Name conflict with munkyfoot/ComfyUI-TextOverlay. Cannot install simulatenously.]"
+        },
+        {
+            "author": "comfyanonymous",
+            "title": "ComfyUI_bitsandbytes_NF4 [EXPERIMENTAL]",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_bitsandbytes_NF4",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_bitsandbytes_NF4"
+            ],
+            "install_type": "git-clone",
+            "description": "A quickly written custom node that uses code from Forge to support the nf4 flux dev checkpoint and nf4 flux schnell checkpoint.\nRequires installing bitsandbytes.\nMake sure your ComfyUI is updated.\nThe node is: CheckpointLoaderNF4, just plug it in your flux workflow instead of the regular one.[w/NF4 checckpoint doesn't support LoRA.]"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-EasyAnimateWrapper [WIP]",
+            "reference": "https://github.com/kijai/ComfyUI-EasyAnimateWrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-EasyAnimateWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "EasyAnimateWrapper for ComfyUI"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-Veevee [WIP]",
+            "reference": "https://github.com/logtd/ComfyUI-Veevee",
+            "files": [
+                "https://github.com/logtd/ComfyUI-Veevee"
+            ],
+            "install_type": "git-clone",
+            "description": "A Video2Video framework for text2image models in ComfyUI. Supports SD1.5 and SDXL."
+        },
+        {
+            "author": "IuvenisSapiens",
+            "title": "ComfyUI_MiniCPM-V-2_6-int4",
+            "id": "minicpm-v-2_6-int4",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an implementation of [a/MiniCPM-V-2_6-int4](https://github.com/OpenBMB/MiniCPM-V) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses."
+        },
+        {
+            "author": "chrisdreid",
+            "title": "ComfyUI_EnvAutopsyAPI [UNSAFE]",
+            "reference": "https://github.com/chrisdreid/ComfyUI_EnvAutopsyAPI",
+            "files": [
+                "https://github.com/chrisdreid/ComfyUI_EnvAutopsyAPI"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI_EnvAutopsyAPI is a powerful debugging tool designed for ComfyUI that provides in-depth analysis of your environment and dependencies through an API interface. This tool allows you to inspect environment variables, pip packages, and dependency trees, making it easier to diagnose and resolve issues in your ComfyUI setup.[w/This tool may expose sensitive system information if used on a public server. MUST READ [a/THIS](https://github.com/chrisdreid/ComfyUI_EnvAutopsyAPI#%EF%B8%8F-warning-security-risk-%EF%B8%8F) before install.]"
+        },
+        {
+            "author": "neuratech-ai",
+            "title": "ComfyUI-MultiGPU",
+            "reference": "https://github.com/neuratech-ai/ComfyUI-MultiGPU",
+            "files": [
+                "https://github.com/neuratech-ai/ComfyUI-MultiGPU"
+            ],
+            "install_type": "git-clone",
+            "description": "Experimental nodes for using multiple GPUs in a single ComfyUI workflow.\nThis extension adds new nodes for model loading that allow you to specify the GPU to use for each model. It monkey patches the memory management of ComfyUI in a hacky way and is neither a comprehensive solution nor a well-tested one. Use at your own risk.\nNote that this does not add parallelism. The workflow steps are still executed sequentially just on different GPUs. Any potential speedup comes from not having to constantly load and unload models from VRAM."
+        },
+        {
+            "author": "Isi-dev",
+            "title": "Isi-dev/ComfyUI-UniAnimate",
+            "reference": "https://github.com/Isi-dev/ComfyUI-UniAnimate",
+            "files": [
+                "https://github.com/Isi-dev/ComfyUI-UniAnimate"
+            ],
+            "install_type": "git-clone",
+            "description": "This is my ComfyUi-windows implementation for the image animation project ▶ UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation[w/This node cannot be installed simultaneously with ComfyUI-UniAnimate by AIFSH because it has the same name as that custom node.]"
+        },
+        {
+            "author": "Futureversecom",
+            "title": "ComfyUI-JEN",
+            "reference": "https://github.com/futureversecom/ComfyUI-JEN",
+            "files": [
+                "https://github.com/futureversecom/ComfyUI-JEN"
+            ],
+            "install_type": "git-clone",
+            "description": "Comfy UI custom nodes for JEN music generation powered by Futureverse"
+        },
+        {
+            "author": "denislov",
+            "title": "Comfyui_AutoSurvey",
+            "reference": "https://github.com/denislov/Comfyui_AutoSurvey",
+            "files": [
+                "https://github.com/denislov/Comfyui_AutoSurvey"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:AutoSurvey, WriteOutline, WriteSection, ChatModel, QueryKnowledge, ManageDatabase, AddDoc2Knowledge"
+        },
+        {
+            "author": "leoleelxh",
+            "title": "ComfyUI-MidjourneyNode-leoleexh",
+            "reference": "https://github.com/leoleelxh/ComfyUI-MidjourneyNode-leoleexh",
+            "files": [
+                "https://github.com/leoleelxh/ComfyUI-MidjourneyNode-leoleexh"
+            ],
+            "install_type": "git-clone",
+            "description": "This node allows ComfyUI to easily integrate with Midjourney, utilizing the ultra-high quality of Midjourney and the powerful control of SD to provide more convenient capabilities for AIGC.\nNOTE: This node relies on the midjourney proxy project and requires API deployment in advance. For detailed installation, please refer to the instructions of the project. https://github.com/novicezk/midjourney-proxy"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-FollowYourEmojiWrapper [WIP]",
+            "reference": "https://github.com/kijai/ComfyUI-FollowYourEmojiWrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-FollowYourEmojiWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "Original repo: [a/https://github.com/mayuelala/FollowYourEmoji](https://github.com/mayuelala/FollowYourEmoji)"
+        },
+        {
+            "author": "haomole",
+            "title": "Comfyui-SadTalker",
+            "reference": "https://github.com/haomole/Comfyui-SadTalker",
+            "files": [
+                "https://github.com/haomole/Comfyui-SadTalker"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/SadTalker](https://github.com/OpenTalker/SadTalker) for ComfyUI"
+        },
+        {
+            "author": "hotpizzatactics",
+            "title": "ComfyUI-WaterMark-Detector",
+            "id": "watermark-detector",
+            "reference": "https://github.com/hotpizzatactics/ComfyUI-WaterMark-Detector",
+            "files": [
+                "https://github.com/hotpizzatactics/ComfyUI-WaterMark-Detector"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:CLAHE Enhancement, High Pass Filter, Edge Detection, Combine Enhancements, Adaptive Thresholding, Morphological Operations, Gray Color Enhancement, Improved Gray Color Enhancement, Texture Enhancement, Denoising Filter, Flexible Combine Enhancements."
+        },
+        {
+            "author": "AIFSH",
+            "title": "IMAGDressing-ComfyUI",
+            "id": "imagdressing",
+            "reference": "https://github.com/AIFSH/IMAGDressing-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/IMAGDressing-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:IMAGDressingNode, TextNode"
+        },
+        {
+            "author": "BetaDoggo",
+            "title": "ComfyUI-LogicGates",
+            "id": "logicgates",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-LogicGates",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-LogicGates"
+            ],
+            "install_type": "git-clone",
+            "description": "Binary Nodes, Byte Nodes, ..."
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-hydit",
+            "reference": "https://github.com/shadowcz007/comfyui-hydit-lowvram",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-hydit-lowvram"
+            ],
+            "install_type": "git-clone",
+            "description": "HunYuan Diffusers Nodes"
+        },
+        {
+            "author": "adityathiru",
+            "title": "ComfyUI LLMs [WIP]",
+            "reference": "https://github.com/adityathiru/ComfyUI-LLMs",
+            "files": [
+                "https://github.com/adityathiru/ComfyUI-LLMs"
+            ],
+            "install_type": "git-clone",
+            "description": "Goal: To enable folks to rapidly build complex workflows with LLMs\nNOTE:☠️ This is experimental and not recommended to use in a production environment (yet!)"
+        },
+        {
+            "author": "walterFeng",
+            "title": "ComfyUI-Image-Utils",
+            "reference": "https://github.com/walterFeng/ComfyUI-Image-Utils",
+            "files":[
+                "https://github.com/walterFeng/ComfyUI-Image-Utils"
+            ],
+            "install_type":"git-clone",
+            "description":"Nodes: Calculate Image Brightness"
+        },
+        {
+            "author": "zml-ai",
+            "title": "comfyui-hydit",
+            "reference": "https://github.com/zml-ai/comfyui-hydit",
+            "files":[
+                "https://github.com/zml-ai/comfyui-hydit"
+            ],
+            "install_type":"git-clone",
+            "description":"The ComfyUI code is under review in the official repository. Meanwhile, a temporary version is available below for immediate community use. We welcome users to try our workflow and appreciate any inquiries or suggestions."
+        },
+        {
+            "author": "JichaoLiang",
+            "title": "Immortal_comfyUI",
+            "reference": "https://github.com/JichaoLiang/Immortal_comfyUI",
+            "files":[
+                "https://github.com/JichaoLiang/Immortal_comfyUI"
+            ],
+            "install_type":"git-clone",
+            "description":"Nodes: NewNode, AppendNode, MergeNode, SetProperties, SaveToDirectory, ..."
+        },
+        {
+            "author": "melMass",
+            "title": "ComfyUI-Lygia",
+            "id": "lygia",
+            "reference": "https://github.com/melMass/ComfyUI-Lygia",
+            "files": [
+                "https://github.com/melMass/ComfyUI-Lygia"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES: LygiaProgram, LygiaUniforms"
+        },
+        {
+            "author": "SpaceWarpStudio",
+            "title": "ComfyUI_Remaker_FaceSwap",
+            "reference": "https://github.com/SpaceWarpStudio/ComfyUI_Remaker_FaceSwap",
+            "files": [
+                "https://github.com/SpaceWarpStudio/ComfyUI_Remaker_FaceSwap"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Remaker Face Swap"
+        },
+        {
+            "author": "VisionExp",
+            "title": "ve_custom_comfyui_nodes",
+            "reference": "https://github.com/VisionExp/ve_custom_comfyui_nodes",
+            "files": [
+                "https://github.com/VisionExp/ve_custom_comfyui_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:LoadImgFromInputUrl"
+        },        
+        {
+            "author": "LevelPixel",
+            "title": "ComfyUI-LevelPixel",
+            "id": "levelpixel",
+            "reference": "https://github.com/LevelPixel/ComfyUI-LevelPixel",
+            "files": [
+                "https://github.com/LevelPixel/ComfyUI-LevelPixel"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Model Unloader, LLM Optional Memory Free Advanced"
+        },
+        {
+            "author": "StartHua",
+            "title": "Comfyui_CXH_CRM",
+            "id": "csdmt-cxh",
+            "reference": "https://github.com/StartHua/Comfyui_CSDMT_CXH",
+            "files": [
+                "https://github.com/StartHua/Comfyui_CSDMT_CXH"
+            ],
+            "install_type": "git-clone",
+            "description": "Node:CSD_Makeup\nNOTE:You need to download [a/pre-trained model file](https://github.com/StartHua/Comfyui_CSDMT_CXH)."
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-AuraSR-ZHO",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-AuraSR-ZHO",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-AuraSR-ZHO"
+            ],
+            "install_type": "git-clone",
+            "description": "AuraSR in ComfyUI for img & video\n[w/If the custom_nodes path is not under ComfyUI, be careful as it may not install properly.]"
+        },
+        {
+            "author": "tom-doerr",
+            "title": "DSPy Nodes [WIP]",
+            "reference": "https://github.com/tom-doerr/dspy_nodes",
+            "files": [
+                "https://github.com/tom-doerr/dspy_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an attempt to make all DSPy features available in ComfyUI. Using an UI to devlop DSPy programs should be way faster since it makes it easier to see what is happening and allows to quickly iterate on the DSPy program structure."
+        },
+        {
+            "author": "Grant-CP",
+            "title": "ComfyUI-LivePortraitKJ-MPS",
+            "reference": "https://github.com/Grant-CP/ComfyUI-LivePortraitKJ-MPS",
+            "files": [
+                "https://github.com/Grant-CP/ComfyUI-LivePortraitKJ-MPS"
+            ],
+            "install_type": "git-clone",
+            "description": "If you wish to incorporate these changes into your repo, feel free to open an issue and ask. The commits should be pretty clear, and I also label almost all changes with #HACK so a full text search will work too.\nPlease let me know if you decide to incorporate any of these changes into your LivePortrait implementation so I can direct people to you repository. I do not intend to maintain this repo.\nSome operations are simply not supported on MPS and I didn't rewrite them. Most of my changes are just to .cuda calls and that sort of thing. Many operations are still done on CPU, so don't expect awesome performance."
+        },
+        {
+            "author": "thderoo",
+            "title": "_topfun_s_nodes",
+            "reference": "https://github.com/thderoo/ComfyUI-_topfun_s_nodes",
+            "files": [
+                "https://github.com/thderoo/ComfyUI-_topfun_s_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Conditioning Perturbation"
+        },
+        {
+            "author": "willblaschko",
+            "title": "ComfyUI-Unload-Models",
+            "reference": "https://github.com/willblaschko/ComfyUI-Unload-Models",
+            "files": [
+                "https://github.com/willblaschko/ComfyUI-Unload-Models"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository provides developers with a way to better manage their ComfyUI model memory. It includes nodes that allow developers to either unload all models or unload one model at a time. These nodes are designed as pass-through nodes, so they can be used anywhere in the flow. The nodes can be found in the 'Unload Model' section.[w/These are massive hammers, and it could be possible to break things, please don't use them if you need finesse.]"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-OpenDIT [WIP]",
+            "id": "opendit",
+            "reference": "https://github.com/AIFSH/ComfyUI-OpenDIT",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-OpenDIT"
+            ],
+            "install_type": "git-clone",
+            "description": "make [a/OpenDIT](https://github.com/NUS-HPC-AI-Lab/OpenDiT) avaliable in ComfyUI"
+        },
+        {
+            "author": "alexisrolland",
+            "title": "alexisrolland/ComfyUI-AuraSR",
+            "id": "aurasr-alexisrolland",
+            "reference": "https://github.com/alexisrolland/ComfyUI-AuraSR",
+            "files": [
+                "https://github.com/alexisrolland/ComfyUI-AuraSR"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom ComfyUI nodes to run [a/fal-ai/AuraSR](https://huggingface.co/fal-ai/AuraSR) model.[w/This node cannot be installed simultaneously with AIFSH/ComfyUI-AuraSR due to overlapping repository names.]"
+        },
+        {
+            "author": "linhusyung",
+            "title": "ComfyUI Build and Train Your Network [WIP]",
+            "id": "cfgpp",
+            "reference": "https://github.com/linhusyung/comfyui-Build-and-train-your-network",
+            "files": [
+                "https://github.com/linhusyung/comfyui-Build-and-train-your-network"
+            ],
+            "install_type": "git-clone",
+            "description": "Stable Diffusion is an image generation technique based on diffusion models. Its core idea involves simulating diffusion processes by iteratively adding noise and using neural networks to predict and remove the noise, thereby generating high-quality images. This approach is not limited to image generation; with appropriate network architecture and training data, it can be adapted for various other tasks. The application of neural networks extends beyond image generation. By adjusting network structures and loss functions, neural networks can also perform tasks such as classification and regression. This flexibility makes neural networks a powerful tool for handling a wide range of machine learning tasks. This project aims to expand custom neural network layers (such as linear layers, convolutional layers, etc.) within ComfyUI and provide simplified task training functionalities. Through this project, users can easily construct custom neural network layers and perform training in ComfyUI using a graphical interface."
+        },
+        {
+            "author": "alexgenovese",
+            "title": "comfyui_CfgPlusPlus [WIP]",
+            "id": "cfgpp",
+            "reference": "https://gitea.com/NotEvilGirl/cfgpp",
+            "files": [
+                "https://gitea.com/NotEvilGirl/cfgpp"
+            ],
+            "install_type": "git-clone",
+            "description": "CFG++ implemented according to [a/https://cfgpp-diffusion.github.io](https://cfgpp-diffusion.github.io). Basically modified DDIM sampler that makes sampling work at low CFG values (0 ~ 2). Read the CFG++ paper for more details"
+        },
+        {
+            "author": "Fucci-Mateo",
+            "title": "ComfyUI-Airtable [WIP]",
+            "id": "airtable",
+            "reference": "https://github.com/Fucci-Mateo/ComfyUI-Airtable",
+            "files": [
+                "https://github.com/Fucci-Mateo/ComfyUI-Airtable"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple node to load image from local path or http url. You can find this node from 'image' category."
+        },
+        {
+            "author": "majorsauce",
+            "title": "comfyui_indieTools [WIP]",
+            "id": "indie-tools",
+            "reference": "https://github.com/majorsauce/comfyui_indieTools",
+            "files": [
+                "https://github.com/majorsauce/comfyui_indieTools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:[Indie] Cut by Mask, [Indie] Paste Image, [Indie] Local Scale, [Indie] Solidify, [Indie] Yolo Detector.[w/Install may fail due to invliad requirements.txt file]"
+        },
+        {
+            "author": "AIFSH",
+            "title": "ComfyUI-ViViD",
+            "id": "vivid",
+            "reference": "https://github.com/AIFSH/ComfyUI-ViViD",
+            "files": [
+                "https://github.com/AIFSH/ComfyUI-ViViD"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui custom node for ViViD"
+        },
+        {
+            "author": "NeuralNotW0rk",
+            "title": "ComfyUI-Waveform-Extensions",
+            "reference": "https://github.com/NeuralNotW0rk/ComfyUI-Waveform-Extensions",
+            "files": [
+                "https://github.com/NeuralNotW0rk/ComfyUI-Waveform-Extensions/raw/main/EXT_VariationUtils.py",
+                "https://github.com/NeuralNotW0rk/ComfyUI-Waveform-Extensions/raw/main/EXT_AudioManipulation.py"
+            ],
+            "install_type": "copy",
+            "description": "Some additional audio utilites for use on top of Sample Diffusion ComfyUI Extension"
+        },
+        {
+            "author": "nat-chan",
+            "title": "comfyui-paint",
+            "reference": "https://github.com/nat-chan/comfyui-paint",
+            "files": [
+                "https://github.com/nat-chan/comfyui-paint"
+            ],
+            "install_type": "git-clone",
+            "description": "comfyui-paint\n[w/You need to clone submodule manually after clone. There is permission issue.]"
+        },
+        {
+            "author": "prabinpebam",
+            "title": "anyPython [UNSAFE]",
+            "reference": "https://github.com/prabinpebam/anyPython",
+            "files": [
+                "https://github.com/prabinpebam/anyPython"
+            ],
+            "install_type": "git-clone",
+            "description": "This node was inspired by AnyNode. I wanted to have a node where I can paste any python script and execute it. That way I can use this node in combination with a Custom node like the Ollama node that can generate the python code and feed into this node. This also makes it much easier to debug or modify the code iteratively. As of the current version, I've created separate nodes for no input, 1 input and 2 inputs. The input also currently takes only sting as input. Let me know in the discussion how you would use this node.\n[w/This extension allows the execution of arbitrary Python code from a workflow.]"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI DiffSynth wrapper nodes",
+            "id": "diffsynth-wrapper",
+            "reference": "https://github.com/kijai/ComfyUI-DiffSynthWrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DiffSynthWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "Currently only the new extended SVD model 'ExVideo' is supported.\nOriginal repo:[a/https://github.com/modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)"
+        },
+        {
+            "author": "AllenEdgarPoe",
+            "title": "ComfyUI-Xorbis-nodes",
+            "id": "xorbis",
+            "reference": "https://github.com/AllenEdgarPoe/ComfyUI-Xorbis-nodes",
+            "files": [
+                "https://github.com/AllenEdgarPoe/ComfyUI-Xorbis-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository is for MuseumX Update. We use ComfyUI as our framework, and the nodes are built for my comfort."
+        },
+        {
+            "author": "mikeymcfish",
+            "title": "LaserCutterFull and Deptherize Nodes",
+            "id": "fishtools",
+            "reference": "https://github.com/mikeymcfish/FishTools",
+            "files": [
+                "https://github.com/mikeymcfish/FishTools"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository contains two custom nodes, LaserCutterFull and Deptherize, designed for use in image processing workflows. The LaserCutterFull node processes input images to generate layers for laser cutting, while the Deptherize node converts SVG data into a depth map image."
+        },
+        {
+            "author": "pzzmyc",
+            "title": "comfyui-sd3-simple-simpletuner",
+            "id": "simpletuner",
+            "reference": "https://github.com/pzzmyc/comfyui-sd3-simple-simpletuner",
+            "files": [
+                "https://github.com/pzzmyc/comfyui-sd3-simple-simpletuner"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:sd3 simple simpletuner by hhy."
+        },
+        {
+            "author": "horidream",
+            "title": "ComfyUI-Horidream",
+            "id": "horidream",
+            "reference": "https://github.com/horidream/ComfyUI-Horidream",
+            "files": [
+                "https://github.com/horidream/ComfyUI-Horidream"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Pass Through With Sound."
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-DiffusersSD3Wrapper",
+            "id": "diffusers-sd3-wrapper",
+            "reference": "https://github.com/kijai/ComfyUI-DiffusersSD3Wrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DiffusersSD3Wrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Load SD3DiffusersPipeline, SD3 ControlNet Sampler"
+        },
+        {
+            "author": "AustinMroz",
+            "title": "ComfyUI-SD3-Medium-CN-Diffusers [WIP]",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SD3-Medium-CN-Diffusers",
+            "files": [
+                "https://github.com/AustinMroz/ComfyUI-WorkflowCheckpointing"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI SD3-Medium ControlNet (Diffusers)"
+        },
+        {
+            "author": "redhottensors",
+            "title": "ComfyUI-ODE",
+            "id": "ode",
+            "reference": "https://github.com/redhottensors/ComfyUI-ODE",
+            "files": [
+                "https://github.com/redhottensors/ComfyUI-ODE"
+            ],
+            "install_type": "git-clone",
+            "description": "ODE Solvers for ComfyUI\nThis node enables use of torchdiffeq ODE solvers with models.  Intended for use with Stable Diffusion 3 and similar flow models."
+        },
+        {
+            "author": "maruhidd",
+            "title": "Transparent Background for ComfyUI",
+            "id": "transparent-bg",
+            "reference": "https://github.com/maruhidd/ComfyUI_Transparent-Background",
+            "files": [
+                "https://github.com/maruhidd/ComfyUI_Transparent-Background"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Remove Background, Fill Transparent"
+        },
+        {
+            "author": "baicai99",
+            "title": "ComfyUI-FrameSkipping",
+            "id": "frame-skipping",
+            "reference": "https://github.com/baicai99/ComfyUI-FrameSkipping",
+            "files": [
+                  "https://github.com/baicai99/ComfyUI-FrameSkipping"
+            ],
+            "install_type": "git-clone",
+            "description": "This plugin can precisely control the rendering between frames, completing the synthesis of multiple frames in a single load. My homepage includes my attached workflow."
+        },
+        {
+            "author": "ejektaflex",
+            "title": "ComfyUI - Ty",
+            "id": "ty-nodes",
+            "reference": "https://github.com/ejektaflex/ComfyUI-Ty",
+            "files": [
+                  "https://github.com/ejektaflex/ComfyUI-Ty"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Lora Block Weight Regex Loader"
+        },
+        {
+            "author": "jtydhr88",
+            "title": "ComfyUI-Unique3D [WIP]",
+            "id": "unique3d",
+            "reference": "https://github.com/jtydhr88/ComfyUI-Unique3D",
+            "files": [
+                  "https://github.com/jtydhr88/ComfyUI-Unique3D"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Unique3D is custom nodes that running [a/AiuniAI/Unique3D](https://github.com/AiuniAI/Unique3D) into ComfyUI."
+        },
+        {
+            "author": "kycg",
+            "title": "comfyui-Kwtoolset",
+            "id": "kwtoolset",
+            "reference": "https://github.com/kycg/comfyui-Kwtoolset",
+            "files": [
+                  "https://github.com/kycg/comfyui-Kwtoolset"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:KwtoolsetLoraLoaderwithpreview, KwtoolsetCheckpointLoaderwithpreview, KwtoolsetLoadCheckpointsBatch, KwtoolsetGrowMaskPlus, KwtoolsetGetHipMask, KwtoolsetGetHipMasktest, KwtoolsetGetImageSize, KWPositiveString, KWNagetiveString, KWanywhereString, KwtoolsetChangeOpenpose, ..."
+        },
+        {
+            "author": "mashb1t",
+            "title": "ComfyUI mashb1t nodes",
+            "id": "mashb1t",
+            "reference": "https://github.com/mashb1t/comfyui-nodes-mashb1t",
+            "files": [
+                  "https://github.com/mashb1t/comfyui-nodes-mashb1t"
+            ],
+            "install_type": "git-clone",
+            "description": "This Python script is an optional add-on to the Comfy UI stable diffusion client."
+        },
+        {
+            "author": "immersiveexperience",
+            "title": "ie-comfyui-color-nodes",
+            "reference": "https://github.com/immersiveexperience/ie-comfyui-color-nodes",
+            "files": [
+                "https://github.com/immersiveexperience/ie-comfyui-color-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom ComfyUI nodes for simple color correction."
+        },
+        {
+            "author": "LZpenguin",
+            "title": "ComfyUI-Text",
+            "id": "comfy-text",
+            "reference": "https://github.com/LZpenguin/ComfyUI-Text",
+            "files": [
+                "https://github.com/LZpenguin/ComfyUI-Text"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Add_text_by_mask.[w/This custom node cannot be installed simultaneously as it has the same repository name as MarkoCa1/ComfyUI-Text.]"
+        },
+        {
+            "author": "yushan777",
+            "title": "Y7 Nodes for ComfyUI",
+            "id": "y7nodes",
+            "reference": "https://github.com/yushan777/ComfyUI-Y7Nodes",
+            "files": [
+                "https://github.com/yushan777/ComfyUI-Y7Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Count_Tokens_(Y7)"
+        },
+        {
+            "author": "norgeous",
+            "title": "UI Builder [WIP]",
+            "id": "norgeous",
+            "reference": "https://github.com/norgeous/ComfyUI-UI-Builder",
+            "files": [
+                "https://github.com/norgeous/ComfyUI-UI-Builder"
+            ],
+            "install_type": "git-clone",
+            "description": "Alternative configurable React UI overlay for Comfy UI."
+        },
+        {
+            "author": "Shinsplat",
+            "title": "ComfyUI-Shinsplat [UNSAFE]",
+            "id": "shinsplat",
+            "reference": "https://github.com/Shinsplat/ComfyUI-Shinsplat",
+            "files": [
+                "https://github.com/Shinsplat/ComfyUI-Shinsplat"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Clip Text Encode (Shinsplat), Clip Text Encode SDXL (Shinsplat), Lora Loader (Shinsplat).\n[w/This extension poses a risk of executing arbitrary commands through workflow execution. Please be cautious.]"
+        },
+        {
+            "author": "hy134300",
+            "title": "comfyui-hydit",
+            "reference": "https://github.com/hy134300/comfyui-hydit",
+            "files": [
+                "https://github.com/hy134300/comfyui-hydit"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository contains a customized node and workflow designed specifically for HunYuan DIT. The official tests conducted on DDPM, DDIM, and DPMMS have consistently yielded results that align with those obtained through the Diffusers library. However, it's important to note that we cannot assure the consistency of results from other ComfyUI native samplers with the Diffusers inference. We cordially invite users to explore our workflow and are open to receiving any inquiries or suggestions you may have."
+        },
+        {
+            "author": "corbin-hayden13",
+            "title": "ComfyUI-Better-Dimensions",
+            "id": "better-dim",
+            "reference": "https://github.com/corbin-hayden13/ComfyUI-Better-Dimensions",
+            "files": [
+                "https://github.com/corbin-hayden13/ComfyUI-Better-Dimensions"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:BetterImageDimensions, SDXLDimensions, PureRatio"
+        },
+        {
+            "author": "endman100",
+            "title": "ComfyUI-augmentation",
+            "id": "augmentation",
+            "reference": "https://github.com/endman100/ComfyUI-augmentation",
+            "files": [
+                "https://github.com/endman100/ComfyUI-augmentation"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:RamdomFlipImage (endman100)"
+        },
+        {
+            "author": "endman100",
+            "title": "ComfyUI Nodes: SaveConditioning and LoadConditioning",
+            "id": "save-load-conditioning",
+            "reference": "https://github.com/endman100/ComfyUI-SaveAndLoadPromptCondition",
+            "files": [
+                "https://github.com/endman100/ComfyUI-SaveAndLoadPromptCondition"
+            ],
+            "install_type": "git-clone",
+            "description": "The SaveConditioning node is designed to save conditioning data to binary files. This is useful for storing and reusing conditioning information across different sessions or applications.\n[w/This node can only handle very limited conditioning at the text prompt level.]"
+        },
+        {
+            "author": "marduk191",
+            "title": "comfyui-marnodes",
+            "id": "marnodes",
+            "reference": "https://github.com/marduk191/comfyui-marnodes",
+            "files": [
+                "https://github.com/marduk191/comfyui-marnodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:marduk191_workflow_settings"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI-CV-VAE",
+            "id": "cv-vae",
+            "reference": "https://github.com/kijai/ComfyUI-CV-VAE",
+            "files": [
+                "https://github.com/kijai/ComfyUI-CV-VAE"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:CV_VAE_Load, CV_VAE_Encode, CV_VAE_Decode"
+        },
+        {
+            "author": "GentlemanHu",
+            "title": "ComfyUI Notifier",
+            "id": "notifier",
+            "reference": "https://github.com/GentlemanHu/ComfyUI-Notifier",
+            "files": [
+                "https://github.com/GentlemanHu/ComfyUI-Notifier"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:GentlemanHu_Notifier"
+        },
+        {
+            "author": "jimmm-ai",
+            "title": "TimeUi a ComfyUI Timeline Node System [WIP]",
+            "id": "timeline",
+            "reference": "https://github.com/jimmm-ai/TimeUi-a-ComfyUi-Timeline-Node",
+            "files": [
+                "https://github.com/jimmm-ai/TimeUi-a-ComfyUi-Timeline-Node"
+            ],
+            "install_type": "git-clone",
+            "description": "I've been working on the UX/UI of a timeline custom node system for ComfyUI over the past two weeks. The goal is to create a timeline similar to video/animation editing tools, without relying on traditional timeframe code. You can effortlessly add, delete, or rearrange rows, providing a streamlined user experience."
+        },
+        {
+            "author": "jh-leon-kim",
+            "title": "ComfyUI-JHK-utils",
+            "id": "jhk",
+            "reference": "https://github.com/jh-leon-kim/ComfyUI-JHK-utils",
+            "files": [
+                "https://github.com/jh-leon-kim/ComfyUI-JHK-utils"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:JHK_Utils_LoadEmbed, JHK_Utils_string_merge, JHK_Utils_ImageRemoveBackground"
+        },
+        {
+            "author": "StartHua",
+            "title": "Comfyui_CXH_CRM",
+            "id": "cxh-crm",
+            "reference": "https://github.com/StartHua/Comfyui_CXH_CRM",
+            "files": [
+                "https://github.com/StartHua/Comfyui_CXH_CRM"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:CRM"
+        },
+        {
+            "author": "comfypod",
+            "title": "ComfyUI-Comflow",
+            "id": "comflow",
+            "reference": "https://github.com/comfypod/ComfyUI-Comflow",
+            "files": [
+                "https://github.com/comfypod/ComfyUI-Comflow"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Comflow."
+        },
+        {
+            "author": "pamparamm",
+            "title": "ComfyUI-ppm",
+            "id": "comfyui-ppm",
+            "reference": "https://github.com/pamparamm/ComfyUI-ppm",
+            "files": [
+                "https://github.com/pamparamm/ComfyUI-ppm"
+            ],
+            "install_type": "git-clone",
+            "description": "Fixed AttentionCouple/NegPip(negative weights in prompts), more CFG++ samplers, etc."
+        },
+        {
+            "author": "FoundD-oka",
+            "title": "ComfyUI KISEKAE-OOTD",
+            "id": "kisekae-ootd",
+            "reference": "https://github.com/FoundD-oka/ComfyUI-kisekae-OOTD",
+            "files": [
+                "https://github.com/FoundD-oka/ComfyUI-kisekae-OOTD"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:LoadOOTDPipeline, LoadOOTDPipelineHub, LoadOOTDPipelineHub."
+        },
+        {
+            "author": "bruce007lee",
+            "title": "comfyui-tiny-utils",
+            "id": "tiny-utils",
+            "reference": "https://github.com/bruce007lee/comfyui-tiny-utils",
+            "files": [
+                "https://github.com/bruce007lee/comfyui-tiny-utils"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:FaceAlign, FaceAlignImageProcess, FaceAlignMaskProcess, ImageFillColorByMask, CropImageByMask, LoadImageAdvance, ImageTransposeAdvance, ImageSAMMask"
+        },
+        {
+            "author": "brycegoh",
+            "title": "brycegoh/comfyui-custom-nodes",
+            "reference": "https://github.com/brycegoh/comfyui-custom-nodes",
+            "files": [
+                "https://github.com/brycegoh/comfyui-custom-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:MaskAreaComparisonSegment, FillMaskedArea, OCRAndMask, CombineTwoImageIntoOne"
+        },
+        {
+            "author": "LykosAI",
+            "title": "ComfyUI Nodes for Inference.Core",
+            "id": "inference-core",
+            "reference": "https://github.com/LykosAI/ComfyUI-Inference-Core-Nodes",
+            "files": [
+                "https://github.com/LykosAI/ComfyUI-Inference-Core-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Primary Nodes for Inference.Core and Stability Matrix. With a focus on not impacting startup performance and using fully qualified Node names. [w/This custom node is likely to conflict with many other nodes.]"
+        },
+        {
+            "author": "tracerstar",
+            "title": "comfyui-p5js-node",
+            "id": "p5js",
+            "reference": "https://github.com/tracerstar/comfyui-p5js-node",
+            "files": [
+                  "https://github.com/tracerstar/comfyui-p5js-node"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple proof of concept node to pass a p5js canvas through ComfyUI for img2img generation use."
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-mobvoi-openapi",
+            "id": "mobvoi-openapi",
+            "reference": "https://github.com/chaojie/ComfyUI-mobvoi-openapi",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-mobvoi-openapi"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:MobvoiOpenapiMetamanText, MobvoiOpenapiMetamanAudio, MobvoiOpenapiTts, HtmlViewer, OssUploadImage, OssUploadAudio"
+        },
+        {
+            "author": "immersiveexperience",
+            "title": "ie-comfyui-color-nodes",
+            "id": "ie-color-nodes",
+            "reference": "https://github.com/immersiveexperience/ie-comfyui-color-nodes",
+            "files": [
+                "https://github.com/immersiveexperience/ie-comfyui-color-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom ComfyUI nodes for simple color correction."
+        },
+        {
+            "author": "beyastard",
+            "title": "ComfyUI_BeySoft",
+            "reference": "https://github.com/beyastard/ComfyUI_BeySoft",
+            "files": [
+                "https://github.com/beyastard/ComfyUI_BeySoft"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:BeySoft"
+        },
+        {
+            "author": "christian-byrne",
+            "title": "🌌 Infinite Parallax Nodes [WIP]",
+            "reference": "https://github.com/christian-byrne/infinite-zoom-parallax-nodes",
+            "files": [
+                "https://github.com/christian-byrne/infinite-zoom-parallax-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Parallax Config, Load Parallax Frame, Save Parallax Object Layers, Layer Shifter for Parallax Outpainting, Save Parallax Frame, Shrink and Pad for Outpainting, Create Infinite Zoom Video"
+        },
+        {
+            "author": "flyingdogsoftware",
+            "title": "Gyre for ComfyUI",
+            "id": "gyre",
+            "reference": "https://github.com/flyingdogsoftware/gyre_for_comfyui",
+            "files": [
+                "https://github.com/flyingdogsoftware/gyre_for_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:GyreLoopStart, GyreLoopEnd, GyreIfElse"
+        },
+        {
+            "author": "githubYiheng",
+            "title": "comfyui_median_filter",
+            "id": "median-filter",
+            "reference": "https://github.com/githubYiheng/comfyui_median_filter",
+            "files": [
+                "https://github.com/githubYiheng/comfyui_median_filter"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Apply Median Filter. [w/This has been updated to be equivalent to the comfyui_kmeans_filter node. Mistake?]"
+        },
+        {
+            "author": "nat-chan",
+            "title": "comfyui-eval [UNSAFE]",
+            "id": "evalnode",
+            "reference": "https://github.com/nat-chan/comfyui-eval",
+            "files": [
+                "https://github.com/nat-chan/comfyui-eval"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:EvalNode [w/Please do not use the node that executes arbitrary code and outputs in any type, as it is dangerous.]"
+        },
+        {
+            "author": "haofanwang",
+            "title": "ComfyUI-InstantStyle",
+            "id": "instantstyle",
+            "reference": "https://github.com/haofanwang/ComfyUI-InstantStyle",
+            "files": [
+                "https://github.com/haofanwang/ComfyUI-InstantStyle"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:PromptLoader, BaseModelLoader, InstantStyleLoader, InstantStyleGenerationNode"
+        },
+        {
+            "author": "jp0215",
+            "title": "comfyUI_padding-resize_node",
+            "reference": "https://github.com/jp0215/comfyUI_padding-resize_node",
+            "files": [
+                "https://github.com/jp0215/comfyUI_padding-resize_node/raw/main/PaddingNode.py",
+                "https://github.com/jp0215/comfyUI_padding-resize_node/raw/main/ResizeNode.py"
+            ],
+            "install_type": "copy",
+            "description": "Padding image to 8x: input image and mask, if the side length is not an integer multiple of 8, expand the side length to the smallest multiple of 8 greater than the original side length. Output padding image and mask. Resize to the origin: input the generated image and the original image, crop the generated image to the size of the original image, output the cropped image."
+        },
+        {
+            "author": "Quasimondo",
+            "title": "ComfyUI-QuasimondoNodes [WIP]",
+            "id": "quasimondo-nodes",
+            "reference": "https://github.com/Quasimondo/ComfyUI-QuasimondoNodes",
+            "files": [
+                "https://github.com/Quasimondo/ComfyUI-QuasimondoNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Custom Shader, Spring Mesh"
+        },
+        {
+            "author": "TSFSean",
+            "title": "ComfyUI-TSFNodes",
+            "id": "tsfnodes",
+            "reference": "https://github.com/TSFSean/ComfyUI-TSFNodes",
+            "files": [
+                "https://github.com/TSFSean/ComfyUI-TSFNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:GyroOSC"
+        },
+        {
+            "author": "blib-la",
+            "title": "ComfyUI-Captain-Extensions",
+            "id": "captain",
+            "reference": "https://github.com/blib-la/ComfyUI-Captain-Extensions",
+            "files": [
+                "https://github.com/blib-la/ComfyUI-Captain-Extensions"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI extensions for better [a/Captain](https://github.com/blib-la/captain) integration."
+        },
+        {
+            "author": "ejektaflex",
+            "title": "ComfyUI-Ty",
+            "reference": "https://github.com/ejektaflex/ComfyUI-Ty",
+            "files": [
+                "https://github.com/ejektaflex/ComfyUI-Ty"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Lora Block Weight Regex Loader"
+        },
+        {
+            "author": "christian-byrne",
+            "title": "Python Interpreter ComfyUI Node [UNSAFE]",
+            "reference": "https://github.com/christian-byrne/python-interpreter-node",
+            "files": [
+                "https://github.com/christian-byrne/python-interpreter-node"
+            ],
+            "install_type": "git-clone",
+            "description": "For debugging, parsing data, generating random values, converting types, testing custom nodes faster.\nReference and use variables in the code using the same names as the inputs in the UI\nWrapper class around tensors with operator overloading for doing common image manipulation tasks.I might remove this aspect\n[w/This extension allows you to run programs through Python code in your workflow, which may not be secure. Use with caution.]"
+        },
+        {
+            "author": "sofakid",
+            "title": "dandy [UNSAFE]",
+            "reference": "https://github.com/sofakid/dandy",
+            "files": [
+                "https://github.com/sofakid/dandy"
+            ],
+            "install_type": "git-clone",
+            "description": "Dandy is a JavaScript bridge for ComfyUI. It includes everything you need to make JavaScript enabled extensions, or just load and code in little editor nodes right in ComfyUI.[w/This code can cause security issues because it allows for the execution of arbitrary JavaScript input.]"
+        },
+        {
+            "author": "tachyon-beep",
+            "title": "comfyui-simplefeed [UNSAFE]",
+            "reference": "https://github.com/tachyon-beep/comfyui-simplefeed",
+            "files": [
+                "https://github.com/tachyon-beep/comfyui-simplefeed"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple image feed for comfyUI which is easily configurable and easily extensible.\nUse the filter button to select which nodes write to the feed. Under settings, there are options that allow you: Position the feed. Set a max iamge count for the feed. Set oldest to newest or newest to oldest."
+        },
+        {
+            "author": "shadowcz007",
+            "title": "ComfyUI-PuLID [TEST]",
+            "reference": "https://github.com/shadowcz007/ComfyUI-PuLID-Test",
+            "files": [
+                "https://github.com/shadowcz007/ComfyUI-PuLID-Test"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/PuLID](https://github.com/ToTheBeginning/PuLID) ComfyUI native implementation."
+        },
+        {
+            "author": "sangeet",
+            "title": "comfyui-testui [TEST]",
+            "reference": "https://github.com/sangeet/comfyui-testui",
+            "files": [
+                "https://github.com/sangeet/comfyui-testui"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple Frontend For ComfyUI workflow"
+        },
+        {
+            "author": "Elawphant",
+            "title": "ComfyUI-MusicGen [WIP]",
+            "id": "musicgen",
+            "reference": "https://github.com/Elawphant/ComfyUI-MusicGen",
+            "files": [
+                "https://github.com/Elawphant/ComfyUI-MusicGen"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI for Meta MusicGen."
+        },
+        {
+            "author": "jtscmw01",
+            "title": "ComfyUI-DiffBIR",
+            "id": "diffbir",
+            "reference": "https://github.com/jtscmw01/ComfyUI-DiffBIR",
+            "files": [
+                "https://github.com/jtscmw01/ComfyUI-DiffBIR"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides [a/DiffBIR](https://github.com/XPixelGroup/DiffBIR) feature."
+        },
+        {
+            "author": "ericbeyer",
+            "title": "guidance_interval",
+            "reference": "https://github.com/ericbeyer/guidance_interval",
+            "files": [
+                "https://github.com/ericbeyer/guidance_interval"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Guidance Interval\nNOTE: Because the sampling function is replaced, you must restart after executing this custom node to restore the original state."
+        },
+        {
+            "author": "GraftingRayman",
+            "title": "ComfyUI-GR",
+            "reference": "https://github.com/GraftingRayman/ComfyUI_GR_PromptSelector",
+            "files": [
+                "https://github.com/GraftingRayman/ComfyUI_GR_PromptSelector"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:GR Prompt Selector"
+        },
+        {
+            "author": "oztrkoguz",
+            "title": "Kosmos2_BBox_Cutter Models",
+            "reference": "https://github.com/oztrkoguz/ComfyUI_Kosmos2_BBox_Cutter",
+            "files": [
+                "https://github.com/oztrkoguz/ComfyUI_Kosmos2_BBox_Cutter"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:KosmosLoader, Kosmos2SamplerSimple, Write"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-PuLID-ZHO [WIP]",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PuLID-ZHO",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PuLID-ZHO"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/PuLID](https://github.com/ToTheBeginning/PuLID)（diffusers） for ComfyUI"
+        },
+        {
+            "author": "longgui0318",
+            "title": "comfyui-one-more-step [WIP]",
+            "reference": "https://github.com/longgui0318/comfyui-one-more-step",
+            "files": [
+                "https://github.com/longgui0318/comfyui-one-more-step"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/(OMS)mhh0318/OneMoreStep](https://github.com/mhh0318/OneMoreStep) comfyui support ."
+        },
+        {
+            "author": "unknown",
+            "title": "CLIPTextEncodeAndEnhancev4 (shirazdesigner)",
+            "reference": "https://github.com/shirazdesigner/CLIPTextEncodeAndEnhancev4",
+            "files": [
+                "https://github.com/shirazdesigner/CLIPTextEncodeAndEnhancev4"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:CLIPTextEncodeAndEnhance.\nNOTE:Translation:This is a wrapper that simply makes it easy to install an existing node via git."
+        },
+        {
+            "author": "umisetokikaze",
+            "title": "comfyui_mergekit [WIP]",
+            "reference": "https://github.com/umisetokikaze/comfyui_mergekit",
+            "files": [
+                "https://github.com/umisetokikaze/comfyui_mergekit"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:DefineSaveName, SetModels, get_skip, LoadLR, LoadTarget, SetTokenizer, Merge, SetLayer, SetModels"
+        },
+        {
+            "author": "Video3DGenResearch",
+            "title": "ComfyUI Batch Input Node",
+            "reference": "https://github.com/Video3DGenResearch/comfyui-batch-input-node",
+            "files": [
+                "https://github.com/Video3DGenResearch/comfyui-batch-input-node"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:BatchInputText"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI nodes to use DeepSeek-VL",
+            "reference": "https://github.com/kijai/ComfyUI-DeepSeek-VL",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DeepSeek-VL"
+            ],
+            "install_type": "git-clone",
+            "description": "[a/https://huggingface.co/deepseek-ai](https://huggingface.co/deepseek-ai)"
+        },
+        {
+            "author": "GentlemanHu",
+            "title": "ComfyUI-Notifier",
+            "reference": "https://github.com/GentlemanHu/ComfyUI-Notifier",
+            "files": [
+                "https://github.com/GentlemanHu/ComfyUI-Notifier"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:GentlemanHu_Notifier"
+        },
+        {
+            "author": "nat-chan",
+            "title": "comfyui-in-memory-transceiver",
+            "reference": "https://github.com/nat-chan/comfyui-in-memory-transceiver",
+            "files": [
+                "https://github.com/nat-chan/comfyui-in-memory-transceiver"
+            ],
+            "install_type": "git-clone",
+            "description": "Why? When processing a large number of requests, the SaveImage and LoadImage nodes may be IO-limited, and using shared memory improves performance by passing images only through memory access, not through IO."
+        },
+        {
+            "author": "DrMWeigand",
+            "title": "ComfyUI_LineBreakInserter",
+            "reference": "https://github.com/DrMWeigand/ComfyUI_LineBreakInserter",
+            "files": [
+                "https://github.com/DrMWeigand/ComfyUI_LineBreakInserter"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Line Break Inserter"
+        },
+        {
+            "author": "WilliamStanford",
+            "title": "visuallabs_comfyui_nodes",
+            "reference": "https://github.com/WilliamStanford/visuallabs_comfyui_nodes",
+            "files": [
+                "https://github.com/WilliamStanford/visuallabs_comfyui_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:PointStringFromFloatArray"
+        },
+        {
+            "author": "bruce007lee",
+            "title": "comfyui-cleaner",
+            "reference": "https://github.com/bruce007lee/comfyui-cleaner",
+            "files": [
+                "https://github.com/bruce007lee/comfyui-cleaner"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:cleaner"
+        },
+        {
+            "author": "ExponentialML",
+            "title": "ComfyUI_LiveDirector (WIP)",
+            "reference": "https://github.com/ExponentialML/ComfyUI_LiveDirector",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_LiveDirector"
+            ],
+            "install_type": "git-clone",
+            "description": "Experimental method to use reference video to drive motion in generations without training in ComfyUI."
+        },
+        {
+            "author": "hy134300",
+            "title": "comfyui-hb-node",
+            "reference": "https://github.com/hy134300/comfyui-hb-node",
+            "files": [
+                "https://github.com/hy134300/comfyui-hb-node"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:sound voice, text concat, latent to list, movie generate, movie batch, hy save image, generate story"
+        },
+        {
+            "author": "gameltb",
+            "title": "io_comfyui",
+            "reference": "https://github.com/gameltb/io_comfyui",
+            "files": [
+                "https://github.com/gameltb/io_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Let Blender work with ComfyUI by ComfyScript. This addon is still in development."
+        },
+        {
+            "author": "ALatentPlace",
+            "title": "YANC- Yet Another Node Collection",
+            "reference": "https://github.com/ALatentPlace/ComfyUI_yanc",
+            "files": [
+                "https://github.com/ALatentPlace/ComfyUI_yanc"
+            ],
+            "install_type": "git-clone",
+            "description": "This is another node collection for ComfyUI. It includes some basic nodes that I find useful, and I've also created them to meet my personal needs."
+        },
+        {
+            "author": "Jiffies-64",
+            "title": "ComfyUI-SaveImagePlus",
+            "reference": "https://github.com/Jiffies-64/ComfyUI-SaveImagePlus",
+            "files": [
+                "https://github.com/Jiffies-64/ComfyUI-SaveImagePlus"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SaveImagePlus"
+        },
+        {
+            "author": "kadirnar",
+            "title": "ComfyUI-Adapter [WIP]",
+            "reference": "https://github.com/kadirnar/ComfyUI-Adapter",
+            "files": [
+                "https://github.com/kadirnar/ComfyUI-Adapter"
+            ],
+            "install_type": "git-clone",
+            "description": "WIP"
+        },
+        {
+            "author": "Beinsezii",
+            "title": "comfyui-amd-go-fast",
+            "reference": "https://github.com/Beinsezii/comfyui-amd-go-fast",
+            "files": [
+                "https://github.com/Beinsezii/comfyui-amd-go-fast"
+            ],
+            "install_type": "git-clone",
+            "description": "This contains all-in-one 'principled' nodes for T2I, I2I, refining, and scaling. Additionally it has many tools for directly manipulating the color of latents, high res fix math, and scripted image post-processing."
+        },
+        {
+            "author": "sugarkwork",
+            "title": "comfyui_psd [WIP]",
+            "reference": "https://github.com/sugarkwork/comfyui_psd",
+            "files": [
+                "https://github.com/sugarkwork/comfyui_psd"
+            ],
+            "install_type": "git-clone",
+            "description": "Not working yet."
+        },
+        {
+            "author": "SadaleNet",
+            "title": "ComfyUI Port for Google's Prompt-to-Prompt",
+            "reference": "https://github.com/SadaleNet/ComfyUI-Prompt-To-Prompt",
+            "files": [
+                "https://github.com/SadaleNet/ComfyUI-Prompt-To-Prompt"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a PoC port of [a/Google's Prompt-to-Prompt](https://github.com/google/prompt-to-prompt/) to ComfyUI. It isn't feature complete. But it's good enough for evaluating if prompt-to-prompt is of any good."
+        },
+        {
+            "author": "stavsap",
+            "title": "ComfyUI Ollama [WIP]",
+            "reference": "https://github.com/stavsap/ComfyUI-React-SDK",
+            "files": [
+                "https://github.com/stavsap/ComfyUI-React-SDK"
+            ],
+            "install_type": "git-clone",
+            "description": "This project is for building React application as an overlay upon ComfyUI.\nProviding and ability to provide desired UI with ComfyUI API and workflows.\nInspired by: [a/https://github.com/cubiq/Comfy_Dungeon](https://github.com/cubiq/Comfy_Dungeon)"
+        },
+        {
+            "author": "chaojie",
+            "title": "ComfyUI DynamiCrafter",
+            "reference": "https://github.com/chaojie/ComfyUI-DynamiCrafter",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-DynamiCrafter"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI [a/DynamiCrafter](https://github.com/Doubiiu/DynamiCrafter)"
+        },
+        {
+            "author": "cubiq",
+            "title": "Comfy Dungeon [WIP]",
+            "reference": "https://github.com/cubiq/Comfy_Dungeon",
+            "files": [
+                "https://github.com/cubiq/Comfy_Dungeon"
+            ],
+            "install_type": "git-clone",
+            "description": "Build D&D Character Portraits with ComfyUI.\nIMPORTANT: At the moment this is mostly a tech demo to show how to build a web app on top of ComfyUI. The code is very messy and the application doesn't guaratee consistent results."
+        },
+        {
+            "author": "dfl",
+            "title": "comfyui-stylegan",
+            "reference": "https://github.com/dfl/comfyui-stylegan",
+            "files": [
+                "https://github.com/dfl/comfyui-stylegan"
+            ],
+            "install_type": "git-clone",
+            "description": "Generator for StyleGAN 3"
+        },
+        {
+            "author": "A719689614",
+            "title": "ComfyUI_AC_FUNV8Beta1",
+            "reference": "https://github.com/A719689614/ComfyUI_AC_FUNV8Beta1",
+            "files": [
+                "https://github.com/A719689614/ComfyUI_AC_FUNV8Beta1"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:AC_Super_Controlnet/Checkpoint/Loras/Lora&LCM/KSampler/UpKSampler/SaveImage/PreviewImage/CKPT&LCM/CLIPEN/EmptLatent, AC_FUN_SUPER_LARGE, AC_Super_Come_Ckpt, AC_Super_Come_Lora"
+        },
+        {
+            "author": "houdinii",
+            "title": "comfy-magick [WIP]",
+            "reference": "https://github.com/houdinii/comfy-magick",
+            "files": [
+                "https://github.com/houdinii/comfy-magick"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a way to implement ImageMagick functionality in ComfyUI, which is generally PIL (pillow) based. I'm not sure the best way to handle this, as batch images make it a lot more complex, but the general idea will be two nodes to translate the IMAGE type, a torch.tensor of shape [batch, height, width, channels], or [1, 600, 800, 3] for a single 800x600 image, into/from a wand Image object."
+        },
+        {
+            "author": "tjorbogarden",
+            "title": "my-useful-comfyui-custom-nodes",
+            "reference": "https://github.com/tjorbogarden/my-useful-comfyui-custom-nodes",
+            "files": [
+                "https://github.com/tjorbogarden/my-useful-comfyui-custom-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:My-Image Sizer, KSamplerSDXLAdvanced."
+        },
+        {
+            "author": "DeTK",
+            "title": "ComfyUI Node Switcher",
+            "reference": "https://github.com/DeTK/ComfyUI-Switch",
+            "files": [
+                "https://github.com/DeTK/ComfyUI-Switch"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:NodeSwitch."
+        },
+        {
+            "author": "GrindHouse66",
+            "title": "GH Tools for ComfyUI",
+            "reference": "https://github.com/GrindHouse66/ComfyUI-GH_Tools",
+            "files": [
+                "https://github.com/GrindHouse66/ComfyUI-GH_Tools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:GH Tools Image Sizer, GH Tools Simple Scale. Simple quality of life Tools for ComfyUI. Basically, If it makes my life easier, it will be here. The list will grow over time."
+        },
+        {
+            "author": "sdfxai",
+            "title": "SDFXBridgeForComfyUI - ComfyUI Custom Node for SDFX Integration",
+            "reference": "https://github.com/sdfxai/SDFXBridgeForComfyUI",
+            "files": [
+                "https://github.com/sdfxai/SDFXBridgeForComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "SDFXBridgeForComfyUI is a custom node designed for seamless integration between ComfyUI and the SDFX solution. This custom node allows users to make ComfyUI compatible with SDFX when running the ComfyUI instance on their local machines."
+        },
+        {
+            "author": "Beinsezii",
+            "title": "comfyui-amd-go-fast",
+            "reference": "https://github.com/Beinsezii/comfyui-amd-go-fast",
+            "files": [
+                "https://github.com/Beinsezii/comfyui-amd-go-fast"
+            ],
+            "install_type": "git-clone",
+            "description": "See details: [a/link](https://github.com/Beinsezii/comfyui-amd-go-fast?tab=readme-ov-file)"
+        },
+        {
+            "author": "SeedV",
+            "title": "ComfyUI-SeedV-Nodes [UNSAFE]",
+            "reference": "https://github.com/SeedV/ComfyUI-SeedV-Nodes",
+            "files": [
+                "https://github.com/SeedV/ComfyUI-SeedV-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Script.\n[w/This extension poses a risk of executing arbitrary commands through workflow execution. Please be cautious.]"
+        },
+        {
+            "author": "mut-ex",
+            "title": "ComfyUI GLIGEN GUI Node",
+            "reference": "https://github.com/mut-ex/comfyui-gligengui-node",
+            "files": [
+                "https://github.com/mut-ex/comfyui-gligengui-node"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a simple, straightforward ComfyUI node to be used along with the [a/GLIGEN GUI](https://github.com/mut-ex/gligen-gui) I developed.\nNOTE:[a/Make sure you have the GLIGEN GUI up and running](https://github.com/mut-ex/gligen-gui/tree/main)"
+        },
+        {
+            "author": "unanan",
+            "title": "ComfyUI-Dist [WIP]",
+            "reference": "https://github.com/unanan/ComfyUI-Dist",
+            "files": [
+                "https://github.com/unanan/ComfyUI-Dist"
+            ],
+            "install_type": "git-clone",
+            "description": "For distributed processing ComfyUI workflows within a local area network.\nNot Finished Yet."
+        },
+        {
+            "author": "NicholasKao1029",
+            "title": "comfyui-hook",
+            "reference": "https://github.com/NicholasKao1029/comfyui-hook",
+            "files": [
+                "https://github.com/NicholasKao1029/comfyui-hook"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides additional API"
+        },
+        {
+            "author": "Extraltodeus",
+            "title": "Conditioning-token-experiments-for-ComfyUI",
+            "reference": "https://github.com/Extraltodeus/Conditioning-token-experiments-for-ComfyUI",
+            "files": [
+                "https://github.com/Extraltodeus/Conditioning-token-experiments-for-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "I made these nodes for experimenting so it's far from perfect but at least it is entertaining!\nIt uses cosine similarities or smallest euclidean distances to find the closest tokens."
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-llamafile [WIP]",
+            "reference": "https://github.com/shadowcz007/comfyui-llamafile",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-llamafile"
+            ],
+            "install_type": "git-clone",
+            "description": "This node is an experimental node aimed at exploring the collaborative way of human-machine creation."
+        },
+        {
+            "author": "gameltb",
+            "title": "ComfyUI paper playground",
+            "reference": "https://github.com/gameltb/ComfyUI_paper_playground",
+            "files": [
+                "https://github.com/gameltb/ComfyUI_paper_playground"
+            ],
+            "install_type": "git-clone",
+            "description": "Evaluate some papers in ComfyUI, just playground.\nNOTE: Various models need to be installed, so please visit the repository to check."
+        },
+        {
+            "author": "huizhang0110",
+            "title": "ComfyUI_Easy_Nodes_hui",
+            "reference": "https://github.com/huizhang0110/ComfyUI_Easy_Nodes_hui",
+            "files": [
+                "https://github.com/huizhang0110/ComfyUI_Easy_Nodes_hui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:EasyEmptyLatentImage"
+        },
+        {
+            "author": "tuckerdarby",
+            "title": "ComfyUI-TDNodes [WIP]",
+            "reference": "https://github.com/tuckerdarby/ComfyUI-TDNodes",
+            "files": [
+                "https://github.com/tuckerdarby/ComfyUI-TDNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:KSampler (RAVE), KSampler (TF), Object Tracker, KSampler Batched, Video Tracker Prompt, TemporalNet Preprocessor, Instance Tracker Prompt, Instance Diffusion Loader, Hand Tracker Node"
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-musicgen",
+            "reference": "https://github.com/shadowcz007/comfyui-musicgen",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-musicgen"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Musicgen"
+        },
+        {
+            "author": "shadowcz007",
+            "title": "comfyui-CLIPSeg",
+            "reference": "https://github.com/shadowcz007/comfyui-CLIPSeg",
+            "files": [
+                "https://github.com/shadowcz007/comfyui-CLIPSeg"
+            ],
+            "install_type": "git-clone",
+            "description": "Download [a/CLIPSeg](https://huggingface.co/CIDAS/clipseg-rd64-refined/tree/main), move to : models/clipseg"
+        },
+        {
+            "author": "stutya",
+            "title": "ComfyUI-Terminal [UNSAFE]",
+            "reference": "https://github.com/stutya/ComfyUI-Terminal",
+            "files": [
+                "https://github.com/stutya/ComfyUI-Terminal"
+            ],
+            "install_type": "git-clone",
+            "description": "Run Terminal Commands from ComfyUI.\n[w/This extension poses a risk of executing arbitrary commands through workflow execution. Please be cautious.]"
+        },
+        {
+            "author": "marcueberall",
+            "title": "ComfyUI-BuildPath",
+            "reference": "https://github.com/marcueberall/ComfyUI-BuildPath",
+            "files": [
+                "https://github.com/marcueberall/ComfyUI-BuildPath"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Build Path Adv."
+        },
+        {
+            "author": "LotzF",
+            "title": "ComfyUI simple ChatGPT completion [UNSAFE]",
+            "reference": "https://github.com/LotzF/ComfyUI-Simple-Chat-GPT-completion",
+            "files": [
+                "https://github.com/LotzF/ComfyUI-Simple-Chat-GPT-completion"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple node to request ChatGPT completions. [w/Do not share your workflows including the API key! I'll take no responsibility for your leaked keys.]"
+        },
+        {
+            "author": "kappa54m",
+            "title": "ComfyUI_Usability (WIP)",
+            "reference": "https://github.com/kappa54m/ComfyUI_Usability",
+            "files": [
+                "https://github.com/kappa54m/ComfyUI_Usability"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Load Image Dedup, Load Image By Path."
+        },
+        {
+            "author": "17Retoucher",
+            "title": "ComfyUI_Fooocus",
+            "reference": "https://github.com/17Retoucher/ComfyUI_Fooocus",
+            "files": [
+                "https://github.com/17Retoucher/ComfyUI_Fooocus"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom nodes that help reproduce image generation in Fooocus."
+        },
+        {
+            "author": "nkchocoai",
+            "title": "ComfyUI-PromptUtilities",
+            "reference": "https://github.com/nkchocoai/ComfyUI-PromptUtilities",
+            "files": [
+                "https://github.com/nkchocoai/ComfyUI-PromptUtilities"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Format String, Join String List, Load Preset, Load Preset (Advanced), Const String, Const String (multi line). Add useful nodes related to prompt."
+        },
+        {
+            "author": "BadCafeCode",
+            "title": "execution-inversion-demo-comfyui",
+            "reference": "https://github.com/BadCafeCode/execution-inversion-demo-comfyui",
+            "files": [
+                "https://github.com/BadCafeCode/execution-inversion-demo-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "execution-inversion-demo-comfyui"
+        },
+        {
+            "author": "unanan",
+            "title": "ComfyUI-clip-interrogator [WIP]",
+            "reference": "https://github.com/unanan/ComfyUI-clip-interrogator",
+            "files": [
+                "https://github.com/unanan/ComfyUI-clip-interrogator"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial ComfyUI extension of clip-interrogator"
+        },
+        {
+            "author": "prismwastaken",
+            "title": "prism-tools",
+            "reference": "https://github.com/prismwastaken/comfyui-tools",
+            "files": [
+                "https://github.com/prismwastaken/comfyui-tools"
+            ],
+            "install_type": "git-clone",
+            "description": "prism-tools"
+        },
+        {
+            "author": "poisenbery",
+            "title": "NudeNet-Detector-Provider [WIP]",
+            "reference": "https://github.com/poisenbery/NudeNet-Detector-Provider",
+            "files": [
+                "https://github.com/poisenbery/NudeNet-Detector-Provider"
+            ],
+            "install_type": "git-clone",
+            "description": "BBOX Detector Provider for NudeNet. Bethesda version of NudeNet V3 detector provider to work with Impact Pack ComfyUI."
+        },
+        {
+            "author": "LarryJane491",
+            "title": "ComfyUI-ModelUnloader",
+            "reference": "https://github.com/LarryJane491/ComfyUI-ModelUnloader",
+            "files": [
+                "https://github.com/LarryJane491/ComfyUI-ModelUnloader"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple custom node that unloads all models. Useful for developers or users who want to free some memory."
+        },
+        {
+            "author": "MrAdamBlack",
+            "title": "CheckProgress [WIP]",
+            "reference": "https://github.com/MrAdamBlack/CheckProgress",
+            "files": [
+                "https://github.com/MrAdamBlack/CheckProgress"
+            ],
+            "install_type": "git-clone",
+            "description": "I was looking for a node to put in place to ensure my prompt etc where going as expected before the rest of the flow executed. To end the session, I just return the input image as None (see expected error). Recommend using it alongside PreviewImage, then output to the rest of the flow and Save Image."
+        },
+        {
+            "author": "birnam",
+            "title": "Gen Data Tester [WIP]",
+            "reference": "https://github.com/birnam/ComfyUI-GenData-Pack",
+            "files": [
+                "https://github.com/birnam/ComfyUI-GenData-Pack"
+            ],
+            "install_type": "git-clone",
+            "description": "This answers the itch for being able to easily paste [a/CivitAI.com](https://civitai.com/) generated data (or other simple metadata) into Comfy in a way that makes it easy to test with multiple checkpoints."
+        },
+        {
+            "author": "nidefawl",
+            "title": "ComfyUI-nidefawl [UNSAFE]",
+            "reference": "https://github.com/nidefawl/ComfyUI-nidefawl",
+            "files": [
+                "https://github.com/nidefawl/ComfyUI-nidefawl"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:PythonScript, BlendImagesWithBoundedMasks, CropImagesWithMasks, VAELoaderDataType, ModelSamplerTonemapNoiseTest, gcLatentTunnel, ReferenceOnlySimple, EmptyImageWithColor, MaskFromColor, SetLatentCustomNoise, LatentToImage, ImageToLatent, LatentScaledNoise, DisplayAnyType, SamplerCustomCallback, CustomCallback, SplitCustomSigmas, SamplerDPMPP_2M_SDE_nidefawl, LatentPerlinNoise.<BR>[w/This node is an unsafe node that includes the capability to execute arbitrary python script.]"
+        },
+        {
+            "author": "kadirnar",
+            "title": "comfyui_helpers",
+            "reference": "https://github.com/kadirnar/comfyui_helpers",
+            "files": [
+                "https://github.com/kadirnar/comfyui_helpers"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of nodes randomly selected and gathered, related to noise. NOTE: SD-Advanced-Noise, noise_latent_perlinpinpin, comfy-plasma"
+        },
+        {
+            "author": "foglerek",
+            "title": "comfyui-cem-tools",
+            "reference": "https://github.com/foglerek/comfyui-cem-tools",
+            "files": [
+                "https://github.com/foglerek/comfyui-cem-tools"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ProcessImageBatch"
+        },
+        {
+            "author": "komojini",
+            "title": "ComfyUI_Prompt_Template_CustomNodes",
+            "reference": "https://github.com/komojini/ComfyUI_Prompt_Template_CustomNodes",
+            "files": [
+                "https://github.com/komojini/ComfyUI_Prompt_Template_CustomNodes/raw/main/prompt_with_template.py"
+            ],
+            "install_type": "copy",
+            "description": "Nodes:Prompt with Template"
+        },
+        {
+            "author": "talesofai",
+            "title": "comfyui-supersave [WIP]",
+            "reference": "https://github.com/talesofai/comfyui-supersave",
+            "files": [
+                "https://github.com/talesofai/comfyui-supersave"
+            ],
+            "install_type": "git-clone",
+            "description": "WIP"
+        },
+        {
+            "author": "Sai-ComfyUI",
+            "title": "ComfyUI-MS-Nodes [WIP]",
+            "reference": "https://github.com/Sai-ComfyUI/ComfyUI-MS-Nodes",
+            "files": [
+                "https://github.com/Sai-ComfyUI/ComfyUI-MS-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "WIP"
+        },
+        {
+            "author": "eigenpunk",
+            "title": "ComfyUI-audio",
+            "reference": "https://github.com/eigenpunk/ComfyUI-audio",
+            "files": [
+                "https://github.com/eigenpunk/ComfyUI-audio"
+            ],
+            "install_type": "git-clone",
+            "description": "generative audio tools for ComfyUI. highly experimental-expect things to break."
+        },
+        {
+            "author": "Jaxkr",
+            "title": "comfyui-terminal-command [UNSAFE]",
+            "reference": "https://github.com/Jaxkr/comfyui-terminal-command",
+            "files": [
+                "https://github.com/Jaxkr/comfyui-terminal-command"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Run Terminal Command. [w/This node is an unsafe node that includes the capability to execute terminal commands.]"
+        },
+        {
+            "author": "BlueDangerX",
+            "title": "ComfyUI-BDXNodes [WIP]",
+            "reference": "https://github.com/BlueDangerX/ComfyUI-BDXNodes",
+            "files": [
+                "https://github.com/BlueDangerX/ComfyUI-BDXNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Node Jumper. Various quality of life testing nodes"
+        },
+        {
+            "author": "ilovejohnwhite",
+            "title": "TatToolkit",
+            "reference": "https://github.com/ilovejohnwhite/UncleBillyGoncho",
+            "files": [
+                "https://github.com/ilovejohnwhite/UncleBillyGoncho"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:UWU TTK Preprocessor, Pixel Perfect Resolution, Generation Resolution From Image, Generation Resolution From Latent, Enchance And Resize Hint Images, ..."
+        },
+        {
+            "author": "IvanZhd",
+            "title": "comfyui-codeformer [WIP]",
+            "reference": "https://github.com/IvanZhd/comfyui-codeformer",
+            "files": [
+                "https://github.com/IvanZhd/comfyui-codeformer"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Image Inverter"
+        },
+        {
+            "author": "alt-key-project",
+            "title": "Dream Project Video Batches [WIP]",
+            "reference": "https://github.com/alt-key-project/comfyui-dream-video-batches",
+            "files": [
+                "https://github.com/alt-key-project/comfyui-dream-video-batches"
+            ],
+            "install_type": "git-clone",
+            "description": "NOTE: This is currently work in progress. Expect nodes to break (or be broken) until 1.0 release."
+        },
+        {
+            "author": "oyvindg",
+            "title": "ComfyUI-TrollSuite",
+            "reference": "https://github.com/oyvindg/ComfyUI-TrollSuite",
+            "files": [
+                "https://github.com/oyvindg/ComfyUI-TrollSuite"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: BinaryImageMask, ImagePadding, LoadLastCreatedImage, RandomMask, TransparentImage."
+        },
+        {
+            "author": "romeobuilderotti",
+            "title": "ComfyUI-EZ-Pipes",
+            "reference": "https://github.com/romeobuilderotti/ComfyUI-EZ-Pipes",
+            "files": [
+                "https://github.com/romeobuilderotti/ComfyUI-EZ-Pipes"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-EZ-Pipes is a set of custom pipe nodes for ComfyUI. It provides a set of Input/Edit/Output nodes for each pipe type."
+        },
+        {
+            "author": "wormley",
+            "title": "comfyui-wormley-nodes",
+            "reference": "https://github.com/wormley/comfyui-wormley-nodes",
+            "files": [
+                "https://github.com/wormley/comfyui-wormley-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: CheckpointVAELoaderSimpleText, CheckpointVAESelectorText, LoRA_Tag_To_Stack"
+        },
+        {
+            "author": "Brandelan",
+            "title": "ComfyUI_bd_customNodes",
+            "reference": "https://github.com/Brandelan/ComfyUI_bd_customNodes",
+            "files": [
+                "https://github.com/Brandelan/ComfyUI_bd_customNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: BD Random Range, BD Settings, BD Sequencer."
+        },
+        {
+            "author": "Jordach",
+            "title": "comfy-consistency-vae",
+            "reference": "https://github.com/Jordach/comfy-consistency-vae",
+            "files": [
+                "https://github.com/Jordach/comfy-consistency-vae"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Comfy_ConsistencyVAE"
+        },
+        {
+            "author": "gameltb",
+            "title": "ComfyUI_stable_fast",
+            "reference": "https://github.com/gameltb/ComfyUI_stable_fast",
+            "files": [
+                "https://github.com/gameltb/ComfyUI_stable_fast"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ApplyStableFastUnet. Experimental usage of stable-fast."
+        },
+        {
+            "author": "jn-jairo",
+            "title": "jn_node_suite_comfyui [WIP]",
+            "reference": "https://github.com/jn-jairo/jn_node_suite_comfyui",
+            "files": [
+                "https://github.com/jn-jairo/jn_node_suite_comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Image manipulation nodes, Temperature control nodes, Tiling nodes, Primitive and operation nodes, ..."
+        },
+        {
+            "author": "PluMaZero",
+            "title": "ComfyUI-SpaceFlower",
+            "reference": "https://github.com/PluMaZero/ComfyUI-SpaceFlower",
+            "files": [
+                "https://github.com/PluMaZero/ComfyUI-SpaceFlower"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: SpaceFlower_Prompt, SpaceFlower_HangulPrompt, ..."
+        },
+        {
+            "author": "laksjdjf",
+            "title": "ssd-1b-comfyui",
+            "reference": "https://github.com/laksjdjf/ssd-1b-comfyui",
+            "files": [
+                "https://github.com/laksjdjf/ssd-1b-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Experimental node for SSD-1B. This node is not need for latest comfyui."
+        },
+        {
+            "author": "flowtyone",
+            "title": "comfyui-flowty-lcm",
+            "reference": "https://github.com/flowtyone/comfyui-flowty-lcm",
+            "files": [
+                "https://github.com/flowtyone/comfyui-flowty-lcm"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a comfyui early testing node for LCM, adapted from [a/https://github.com/0xbitches/sd-webui-lcm](https://github.com/0xbitches/sd-webui-lcm). It uses the diffusers backend unfortunately and not comfy's model loading mechanism. But the intention here is just to be able to execute lcm inside comfy.\nNOTE: 0xbitches's 'Latent Consistency Model for ComfyUI' is original implementation."
+        },
+        {
+            "author": "doucx",
+            "title": "ComfyUI_WcpD_Utility_Kit",
+            "reference": "https://github.com/doucx/ComfyUI_WcpD_Utility_Kit",
+            "files": [
+                "https://github.com/doucx/ComfyUI_WcpD_Utility_Kit"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: MergeStrings, ExecStrAsCode, RandnLatentImage. [w/NOTE: This extension includes the ability to execute code as a string in nodes. Be cautious during installation, as it can pose a security risk.]"
+        },
+        {
+            "author": "WSJUSA",
+            "title": "pre-comfyui-stablsr",
+            "reference": "https://github.com/WSJUSA/Comfyui-StableSR",
+            "files": [
+                "https://github.com/WSJUSA/Comfyui-StableSR"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a development respository for debugging migration of StableSR to Comfyui"
+        },
+        {
+            "author": "Dr.Lt.Data",
+            "title": "ComfyUI-Workflow-Component [WIP]",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Workflow-Component",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-Workflow-Component"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides the capability to use ComfyUI Workflow as a component and the ability to use the Image Refiner functionality based on components. NOTE: This is an experimental extension feature with no consideration for backward compatibility and can be highly unstable."
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/extension-node-map.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/extension-node-map.json
new file mode 100644
index 0000000000000000000000000000000000000000..278d061f0fd73be29ada747161ba256d4740c8da
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/extension-node-map.json
@@ -0,0 +1,2854 @@
+{
+    "https://gitea.com/NotEvilGirl/cfgpp": [
+        [
+            "CFG++"
+        ],
+        {
+            "title_aux": "comfyui_CfgPlusPlus [WIP]"
+        }
+    ],
+    "https://github.com/17Retoucher/ComfyUI_Fooocus": [
+        [
+            "BasicScheduler",
+            "CLIPLoader",
+            "CLIPMergeSimple",
+            "CLIPSave",
+            "CLIPSetLastLayer",
+            "CLIPTextEncode",
+            "CLIPTextEncodeSDXL",
+            "CLIPTextEncodeSDXLRefiner",
+            "CLIPVisionEncode",
+            "CLIPVisionLoader",
+            "Canny",
+            "CheckpointLoader",
+            "CheckpointLoaderSimple",
+            "CheckpointSave",
+            "ConditioningAverage",
+            "ConditioningCombine",
+            "ConditioningConcat",
+            "ConditioningSetArea",
+            "ConditioningSetAreaPercentage",
+            "ConditioningSetMask",
+            "ConditioningSetTimestepRange",
+            "ConditioningZeroOut",
+            "ControlNetApply",
+            "ControlNetApplyAdvanced",
+            "ControlNetLoader",
+            "CropMask",
+            "DiffControlNetLoader",
+            "DiffusersLoader",
+            "DualCLIPLoader",
+            "EmptyImage",
+            "EmptyLatentImage",
+            "ExponentialScheduler",
+            "FeatherMask",
+            "FlipSigmas",
+            "Fooocus Controlnet",
+            "Fooocus Hirefix",
+            "Fooocus KSampler",
+            "Fooocus Loader",
+            "Fooocus LoraStack",
+            "Fooocus PreKSampler",
+            "Fooocus negative",
+            "Fooocus positive",
+            "Fooocus stylesSelector",
+            "FreeU",
+            "FreeU_V2",
+            "GLIGENLoader",
+            "GLIGENTextBoxApply",
+            "GrowMask",
+            "HyperTile",
+            "HypernetworkLoader",
+            "ImageBatch",
+            "ImageBlend",
+            "ImageBlur",
+            "ImageColorToMask",
+            "ImageCompositeMasked",
+            "ImageCrop",
+            "ImageInvert",
+            "ImageOnlyCheckpointLoader",
+            "ImagePadForOutpaint",
+            "ImageQuantize",
+            "ImageScale",
+            "ImageScaleBy",
+            "ImageScaleToTotalPixels",
+            "ImageSharpen",
+            "ImageToMask",
+            "ImageUpscaleWithModel",
+            "InvertMask",
+            "JoinImageWithAlpha",
+            "KSampler",
+            "KSamplerAdvanced",
+            "KSamplerSelect",
+            "KarrasScheduler",
+            "LatentAdd",
+            "LatentBatch",
+            "LatentBlend",
+            "LatentComposite",
+            "LatentCompositeMasked",
+            "LatentCrop",
+            "LatentFlip",
+            "LatentFromBatch",
+            "LatentInterpolate",
+            "LatentMultiply",
+            "LatentRotate",
+            "LatentSubtract",
+            "LatentUpscale",
+            "LatentUpscaleBy",
+            "LoadImage",
+            "LoadImageMask",
+            "LoadLatent",
+            "LoraLoader",
+            "LoraLoaderModelOnly",
+            "MaskComposite",
+            "MaskToImage",
+            "ModelMergeAdd",
+            "ModelMergeBlocks",
+            "ModelMergeSimple",
+            "ModelMergeSubtract",
+            "ModelSamplingContinuousEDM",
+            "ModelSamplingDiscrete",
+            "PatchModelAddDownscale",
+            "PerpNeg",
+            "PolyexponentialScheduler",
+            "PorterDuffImageComposite",
+            "PreviewImage",
+            "RebatchImages",
+            "RebatchLatents",
+            "RepeatImageBatch",
+            "RepeatLatentBatch",
+            "RescaleCFG",
+            "SDTurboScheduler",
+            "SVD_img2vid_Conditioning",
+            "SamplerCustom",
+            "SamplerDPMPP_2M_SDE",
+            "SamplerDPMPP_SDE",
+            "SaveAnimatedPNG",
+            "SaveAnimatedWEBP",
+            "SaveImage",
+            "SaveLatent",
+            "SelfAttentionGuidance",
+            "SetLatentNoiseMask",
+            "SolidMask",
+            "SplitImageWithAlpha",
+            "SplitSigmas",
+            "StableZero123_Conditioning",
+            "StyleModelApply",
+            "StyleModelLoader",
+            "TomePatchModel",
+            "UNETLoader",
+            "UpscaleModelLoader",
+            "VAEDecode",
+            "VAEDecodeTiled",
+            "VAEEncode",
+            "VAEEncodeForInpaint",
+            "VAEEncodeTiled",
+            "VAELoader",
+            "VAESave",
+            "VPScheduler",
+            "VideoLinearCFGGuidance",
+            "unCLIPCheckpointLoader",
+            "unCLIPConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI_Fooocus"
+        }
+    ],
+    "https://github.com/A719689614/ComfyUI_AC_FUNV8Beta1": [
+        [
+            "\u2b1b(TODO)AC_Super_Come_Ckpt",
+            "\u2b1c(TODO)AC_Super_Come_Lora",
+            "\u2b55AC_FUN_SUPER_LARGE",
+            "\ud83c\ude35AC_Super_Checkpoint",
+            "\ud83c\ude35AC_Super_Loras",
+            "\ud83c\udfabAC_Super_PreviewImage",
+            "\ud83c\udfb0AC_Super_Controlnet",
+            "\ud83d\udcb6AC_Super_EmptLatent",
+            "\ud83d\udcbcAC_Super_Lora&LCM",
+            "\ud83d\udcbeAC_Super_SaveImage",
+            "\ud83d\udcc4AC_Super_CLIPEN",
+            "\ud83d\udcc8AC_Super_UpKSampler",
+            "\ud83d\udcdfAC_Super_CKPT&LCM",
+            "\ud83d\ude80AC_Super_KSampler"
+        ],
+        {
+            "title_aux": "ComfyUI_AC_FUNV8Beta1"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-OpenDIT": [
+        [
+            "DITModelLoader",
+            "DITPromptNode",
+            "DiffVAELoader",
+            "LattePipeLineNode",
+            "OpenSoraNode",
+            "OpenSoraPlanPipeLineNode",
+            "PABConfigNode",
+            "PreViewVideo",
+            "SchedulerLoader",
+            "T5EncoderLoader",
+            "T5TokenizerLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-OpenDIT [WIP]"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-ViViD": [
+        [
+            "LoadImagePath",
+            "LoadVideo",
+            "PreViewVideo",
+            "ViViD_Node"
+        ],
+        {
+            "title_aux": "ComfyUI-ViViD"
+        }
+    ],
+    "https://github.com/AIFSH/IMAGDressing-ComfyUI": [
+        [
+            "IMAGDressingNode",
+            "TextNode"
+        ],
+        {
+            "title_aux": "IMAGDressing-ComfyUI"
+        }
+    ],
+    "https://github.com/ALatentPlace/ComfyUI_yanc": [
+        [
+            "> Bloom",
+            "> Blur",
+            "> Brightness",
+            "> Clear Text",
+            "> Combine Channels",
+            "> Contrast",
+            "> Divide Channels",
+            "> Edge Enhance",
+            "> Film Grain",
+            "> Float to Int",
+            "> Fog",
+            "> Get Mean Color",
+            "> HUE",
+            "> Int",
+            "> Int to Text",
+            "> Layer Weights (for IPAMS)",
+            "> Lens Distortion",
+            "> Light Source Mask",
+            "> Load Image",
+            "> Load Image From Folder",
+            "> Mask Curves",
+            "> NIKSampler",
+            "> Noise From Image",
+            "> Normal Map Lighting",
+            "> RGB Color",
+            "> RGB Shift",
+            "> Resolution by Aspect Ratio",
+            "> Rotate Image",
+            "> Saturation",
+            "> Save Image",
+            "> Scale Image to Side",
+            "> Scanlines",
+            "> Sharpen",
+            "> Text",
+            "> Text Combine",
+            "> Text Pick Line by Index",
+            "> Text Pick Random Line",
+            "> Text Random Weights",
+            "> Text Replace",
+            "> Vignette"
+        ],
+        {
+            "title_aux": "YANC- Yet Another Node Collection"
+        }
+    ],
+    "https://github.com/APZmedia/comfyui-textools": [
+        [
+            "APZmediaImageRichTextOverlay"
+        ],
+        {
+            "author": "Pablo Apiolazza",
+            "description": "This extension provides rich text overlay functionalities, color management, and text parsing utilities for ComfyUI.",
+            "nickname": "ComfyUI Text Tools",
+            "title": "ComfyUI APZmedia Text Tools",
+            "title_aux": "comfyui-textools [WIP]"
+        }
+    ],
+    "https://github.com/AllenEdgarPoe/ComfyUI-Xorbis-nodes": [
+        [
+            "Add Human Styler",
+            "Convert Monochrome",
+            "RT4KSR Loader",
+            "RandomPromptStyler",
+            "Save Log Info",
+            "Upscale RT4SR"
+        ],
+        {
+            "title_aux": "ComfyUI-Xorbis-nodes"
+        }
+    ],
+    "https://github.com/BadCafeCode/execution-inversion-demo-comfyui": [
+        [
+            "AccumulateNode",
+            "AccumulationGetItemNode",
+            "AccumulationGetLengthNode",
+            "AccumulationHeadNode",
+            "AccumulationSetItemNode",
+            "AccumulationTailNode",
+            "AccumulationToListNode",
+            "BoolOperationNode",
+            "ComponentInput",
+            "ComponentMetadata",
+            "ComponentOutput",
+            "DebugPrint",
+            "ExecutionBlocker",
+            "FloatConditions",
+            "ForLoopClose",
+            "ForLoopOpen",
+            "IntConditions",
+            "IntMathOperation",
+            "InversionDemoAdvancedPromptNode",
+            "InversionDemoLazyConditional",
+            "InversionDemoLazyIndexSwitch",
+            "InversionDemoLazyMixImages",
+            "InversionDemoLazySwitch",
+            "ListToAccumulationNode",
+            "MakeListNode",
+            "StringConditions",
+            "ToBoolNode",
+            "WhileLoopClose",
+            "WhileLoopOpen"
+        ],
+        {
+            "title_aux": "execution-inversion-demo-comfyui"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-LogicGates": [
+        [
+            "AND",
+            "BitMemory",
+            "BoolToString",
+            "ByteMemory",
+            "ByteToBits",
+            "CreateByte",
+            "NAND",
+            "NOR",
+            "NOT",
+            "ON",
+            "OR",
+            "SWITCH",
+            "XNOR",
+            "XOR"
+        ],
+        {
+            "title_aux": "ComfyUI-LogicGates"
+        }
+    ],
+    "https://github.com/BlueDangerX/ComfyUI-BDXNodes": [
+        [
+            "BDXTestInt",
+            "ColorMatch",
+            "ColorToMask",
+            "ConditioningMultiCombine",
+            "ConditioningSetMaskAndCombine",
+            "ConditioningSetMaskAndCombine3",
+            "ConditioningSetMaskAndCombine4",
+            "ConditioningSetMaskAndCombine5",
+            "CreateAudioMask",
+            "CreateFadeMask",
+            "CreateFluidMask",
+            "CreateGradientMask",
+            "CreateTextMask",
+            "CrossFadeImages",
+            "EmptyLatentImagePresets",
+            "GrowMaskWithBlur",
+            "SomethingToString",
+            "VRAM_Debug"
+        ],
+        {
+            "author": "BlueDangerX",
+            "title": "BDXNodes",
+            "title_aux": "ComfyUI-BDXNodes [WIP]"
+        }
+    ],
+    "https://github.com/Brandelan/ComfyUI_bd_customNodes": [
+        [
+            "BD Random Range",
+            "BD Random Settings",
+            "BD Sequencer",
+            "BD Settings"
+        ],
+        {
+            "title_aux": "ComfyUI_bd_customNodes"
+        }
+    ],
+    "https://github.com/ChrisColeTech/ComfyUI-Get-Random-File": [
+        [
+            "Get Image File By Index",
+            "Get Video File By Index",
+            "Random File Path",
+            "Random Image Path",
+            "Random Video Path"
+        ],
+        {
+            "title_aux": "ComfyUI-Get-Random-File [UNSAFE]"
+        }
+    ],
+    "https://github.com/Comfy-Org/ComfyUI_devtools": [
+        [
+            "DevToolsErrorRaiseNode"
+        ],
+        {
+            "title_aux": "ComfyUI_devtools [WIP]"
+        }
+    ],
+    "https://github.com/DeTK/ComfyUI-Switch": [
+        [
+            "NodeSwitch"
+        ],
+        {
+            "title_aux": "ComfyUI Node Switcher"
+        }
+    ],
+    "https://github.com/DrMWeigand/ComfyUI_LineBreakInserter": [
+        [
+            "LineBreakInserter"
+        ],
+        {
+            "title_aux": "ComfyUI_LineBreakInserter"
+        }
+    ],
+    "https://github.com/Elawphant/ComfyUI-MusicGen": [
+        [
+            "AudioLoader",
+            "MusicGen"
+        ],
+        {
+            "title_aux": "ComfyUI-MusicGen [WIP]"
+        }
+    ],
+    "https://github.com/ExponentialML/ComfyUI_LiveDirector": [
+        [
+            "LiveDirector"
+        ],
+        {
+            "title_aux": "ComfyUI_LiveDirector (WIP)"
+        }
+    ],
+    "https://github.com/Extraltodeus/Conditioning-token-experiments-for-ComfyUI": [
+        [
+            "Automatic wildcards",
+            "Conditioning (Cosine similarities)",
+            "Conditioning (Maximum absolute)",
+            "Conditioning (Maximum absolute) text inputs",
+            "Conditioning (Scale by absolute sum)",
+            "Conditioning merge clip g/l",
+            "Conditioning similar tokens recombine",
+            "Conditioning to text",
+            "Quick and dirty text encode",
+            "encode_all_tokens_SDXL"
+        ],
+        {
+            "title_aux": "Conditioning-token-experiments-for-ComfyUI"
+        }
+    ],
+    "https://github.com/Fucci-Mateo/ComfyUI-Airtable": [
+        [
+            "Push pose to Airtable"
+        ],
+        {
+            "title_aux": "ComfyUI-Airtable [WIP]"
+        }
+    ],
+    "https://github.com/GentlemanHu/ComfyUI-Notifier": [
+        [
+            "GentlemanHu_Notifier"
+        ],
+        {
+            "title_aux": "ComfyUI-Notifier"
+        }
+    ],
+    "https://github.com/GraftingRayman/ComfyUI_GR_PromptSelector": [
+        [
+            "GR Background Remover REMBG",
+            "GR Checkered Board",
+            "GR Counter",
+            "GR Flip Tile Random Inverted",
+            "GR Flip Tile Random Red Ring",
+            "GR Image Details Displayer",
+            "GR Image Details Saver",
+            "GR Image Paste",
+            "GR Image Paste With Mask",
+            "GR Image Resize",
+            "GR Image Resize Methods",
+            "GR Image Size",
+            "GR Image/Depth Mask",
+            "GR Mask Create",
+            "GR Mask Create Random",
+            "GR Mask Create Random Multi",
+            "GR Mask Resize",
+            "GR Multi Mask Create",
+            "GR Onomatopoeia",
+            "GR Prompt HUB",
+            "GR Prompt Selector",
+            "GR Prompt Selector Multi",
+            "GR Scroller",
+            "GR Stack Image",
+            "GR Text Overlay",
+            "GR Tile and Border Image",
+            "GR Tile and Border Image Random Flip"
+        ],
+        {
+            "title_aux": "ComfyUI-GR"
+        }
+    ],
+    "https://github.com/Grant-CP/ComfyUI-LivePortraitKJ-MPS": [
+        [
+            "DownloadAndLoadLivePortraitModels",
+            "LivePortraitProcess"
+        ],
+        {
+            "title_aux": "ComfyUI-LivePortraitKJ-MPS"
+        }
+    ],
+    "https://github.com/GrindHouse66/ComfyUI-GH_Tools": [
+        [
+            "GHImg_Sizer",
+            "GHSimple_Scale"
+        ],
+        {
+            "title_aux": "GH Tools for ComfyUI"
+        }
+    ],
+    "https://github.com/Isi-dev/ComfyUI-UniAnimate": [
+        [
+            "Gen_align_pose",
+            "UniAnimateImage"
+        ],
+        {
+            "title_aux": "Isi-dev/ComfyUI-UniAnimate"
+        }
+    ],
+    "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4": [
+        [
+            "DisplayText",
+            "LoadVideo",
+            "MiniCPM_VQA",
+            "MiniCPM_VQA_Polished",
+            "MultipleImagesInput",
+            "PreviewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI_MiniCPM-V-2_6-int4"
+        }
+    ],
+    "https://github.com/IvanZhd/comfyui-codeformer": [
+        [
+            "RedBeanie_CustomImageInverter"
+        ],
+        {
+            "title_aux": "comfyui-codeformer [WIP]"
+        }
+    ],
+    "https://github.com/Jaxkr/comfyui-terminal-command": [
+        [
+            "Terminal"
+        ],
+        {
+            "title_aux": "comfyui-terminal-command [UNSAFE]"
+        }
+    ],
+    "https://github.com/JichaoLiang/Immortal_comfyUI": [
+        [
+            "AppendNode",
+            "ApplyVoiceConversion",
+            "CombineVideos",
+            "ImAppendFreeChatAction",
+            "ImAppendQuickbackNode",
+            "ImAppendQuickbackVideoNode",
+            "ImAppendVideoNode",
+            "ImApplyWav2lip",
+            "ImDumpEntity",
+            "ImDumpNode",
+            "ImNodeTitleOverride",
+            "LoadPackage",
+            "MergeNode",
+            "NewNode",
+            "SaveImagePath",
+            "SaveToDirectory",
+            "SetEvent",
+            "SetNodeMapping",
+            "SetProperties",
+            "String2Node",
+            "batchNodes",
+            "grepNodeByText",
+            "mergeEntityAndPointer",
+            "redirectToNode"
+        ],
+        {
+            "title_aux": "Immortal_comfyUI"
+        }
+    ],
+    "https://github.com/Jiffies-64/ComfyUI-SaveImagePlus": [
+        [
+            "SaveImagePlus"
+        ],
+        {
+            "title_aux": "ComfyUI-SaveImagePlus"
+        }
+    ],
+    "https://github.com/Jordach/comfy-consistency-vae": [
+        [
+            "Comfy_ConsistencyVAE"
+        ],
+        {
+            "title_aux": "comfy-consistency-vae"
+        }
+    ],
+    "https://github.com/LZpenguin/ComfyUI-Text": [
+        [
+            "Add_text_by_mask"
+        ],
+        {
+            "title_aux": "ComfyUI-Text"
+        }
+    ],
+    "https://github.com/LarryJane491/ComfyUI-ModelUnloader": [
+        [
+            "Model Unloader"
+        ],
+        {
+            "title_aux": "ComfyUI-ModelUnloader"
+        }
+    ],
+    "https://github.com/LevelPixel/ComfyUI-LevelPixel": [
+        [
+            "Hard Model Unloader \ud83c\udf38",
+            "HardModelUnloader",
+            "LLM Optional Memory Free Advanced \ud83c\udf38",
+            "LLMOptionalMemoryFreeAdvanced",
+            "Model Unloader \ud83c\udf38",
+            "ModelUnloader",
+            "Soft Model Unloader \ud83c\udf38",
+            "SoftModelUnloader"
+        ],
+        {
+            "title_aux": "ComfyUI-LevelPixel"
+        }
+    ],
+    "https://github.com/Lilien86/lauger_NP_comfyui": [
+        [
+            "Latent Interpolator Multi"
+        ],
+        {
+            "title_aux": "lauger NodePack for ComfyUI"
+        }
+    ],
+    "https://github.com/LotzF/ComfyUI-Simple-Chat-GPT-completion": [
+        [
+            "ChatGPTCompletion"
+        ],
+        {
+            "title_aux": "ComfyUI simple ChatGPT completion [UNSAFE]"
+        }
+    ],
+    "https://github.com/LykosAI/ComfyUI-Inference-Core-Nodes": [
+        [
+            "AIO_Preprocessor",
+            "AnimalPosePreprocessor",
+            "AnimeFace_SemSegPreprocessor",
+            "AnimeLineArtPreprocessor",
+            "BAE-NormalMapPreprocessor",
+            "BinaryPreprocessor",
+            "CannyEdgePreprocessor",
+            "ColorPreprocessor",
+            "DWPreprocessor",
+            "DensePosePreprocessor",
+            "DepthAnythingPreprocessor",
+            "DiffusionEdge_Preprocessor",
+            "FacialPartColoringFromPoseKps",
+            "FakeScribblePreprocessor",
+            "HEDPreprocessor",
+            "HintImageEnchance",
+            "ImageGenResolutionFromImage",
+            "ImageGenResolutionFromLatent",
+            "ImageIntensityDetector",
+            "ImageLuminanceDetector",
+            "InpaintPreprocessor",
+            "LayeredDiffusionApply",
+            "LayeredDiffusionCondApply",
+            "LayeredDiffusionCondJointApply",
+            "LayeredDiffusionDecode",
+            "LayeredDiffusionDecodeRGBA",
+            "LayeredDiffusionDecodeSplit",
+            "LayeredDiffusionDiffApply",
+            "LayeredDiffusionJointApply",
+            "LeReS-DepthMapPreprocessor",
+            "LineArtPreprocessor",
+            "LineartStandardPreprocessor",
+            "M-LSDPreprocessor",
+            "Manga2Anime_LineArt_Preprocessor",
+            "MaskOptFlow",
+            "MediaPipe-FaceMeshPreprocessor",
+            "MeshGraphormer-DepthMapPreprocessor",
+            "MiDaS-DepthMapPreprocessor",
+            "MiDaS-NormalMapPreprocessor",
+            "ModelMergeBlockNumber",
+            "ModelMergeSDXL",
+            "ModelMergeSDXLDetailedTransformers",
+            "ModelMergeSDXLTransformers",
+            "ModelSamplerTonemapNoiseTest",
+            "OneFormer-ADE20K-SemSegPreprocessor",
+            "OneFormer-COCO-SemSegPreprocessor",
+            "OpenposePreprocessor",
+            "PiDiNetPreprocessor",
+            "PixelPerfectResolution",
+            "PromptExpansion",
+            "ReferenceOnlySimple",
+            "RescaleClassifierFreeGuidanceTest",
+            "SAMPreprocessor",
+            "SavePoseKpsAsJsonFile",
+            "ScribblePreprocessor",
+            "Scribble_XDoG_Preprocessor",
+            "SemSegPreprocessor",
+            "ShufflePreprocessor",
+            "TEEDPreprocessor",
+            "TilePreprocessor",
+            "TonemapNoiseWithRescaleCFG",
+            "UniFormer-SemSegPreprocessor",
+            "Unimatch_OptFlowPreprocessor",
+            "Zoe-DepthMapPreprocessor",
+            "Zoe_DepthAnythingPreprocessor"
+        ],
+        {
+            "author": "tstandley",
+            "title_aux": "ComfyUI Nodes for Inference.Core"
+        }
+    ],
+    "https://github.com/MrAdamBlack/CheckProgress": [
+        [
+            "CHECK_PROGRESS"
+        ],
+        {
+            "title_aux": "CheckProgress [WIP]"
+        }
+    ],
+    "https://github.com/NeuralNotW0rk/ComfyUI-Waveform-Extensions/raw/main/EXT_VariationUtils.py": [
+        [
+            "BatchToList",
+            "ConcatAudioList",
+            "SequenceVariation",
+            "SliceAudio"
+        ],
+        {
+            "title_aux": "ComfyUI-Waveform-Extensions"
+        }
+    ],
+    "https://github.com/PluMaZero/ComfyUI-SpaceFlower": [
+        [
+            "SpaceFlower_HangulPrompt",
+            "SpaceFlower_Prompt"
+        ],
+        {
+            "title_aux": "ComfyUI-SpaceFlower"
+        }
+    ],
+    "https://github.com/Quasimondo/ComfyUI-QuasimondoNodes": [
+        [
+            "CPPN Generator",
+            "Color Match",
+            "Coordinates From Mask",
+            "Custom Shader",
+            "Distance Map",
+            "Folder Queue Manager",
+            "Image Blend by Mask (Batch)",
+            "Image Noise Generator",
+            "Image to Optical Flow",
+            "Perlin Noise Generator",
+            "Preview Mask",
+            "Random Image Generator",
+            "Shift Mask",
+            "Slit Scan",
+            "Spring Mesh",
+            "Temporal Blur",
+            "Video Queue Manager"
+        ],
+        {
+            "title_aux": "ComfyUI-QuasimondoNodes [WIP]"
+        }
+    ],
+    "https://github.com/SadaleNet/ComfyUI-Prompt-To-Prompt": [
+        [
+            "CLIPTextEncodePromptToPrompt",
+            "KSamplerPromptToPrompt",
+            "KSamplerPromptToPromptAttentionMapLogger",
+            "LocalBlendLayerPresetPromptToPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI Port for Google's Prompt-to-Prompt"
+        }
+    ],
+    "https://github.com/Sai-ComfyUI/ComfyUI-MS-Nodes": [
+        [
+            "FloatMath",
+            "MS_Boolean",
+            "MS_Float",
+            "MS_GenerateSeed",
+            "MS_NP_Vector3",
+            "PowerFractalCrossHatchNode",
+            "PowerFractalNoiseNode",
+            "VectorMath"
+        ],
+        {
+            "title_aux": "ComfyUI-MS-Nodes [WIP]"
+        }
+    ],
+    "https://github.com/Sakura-nee/ComfyUI_Save2Discord": [
+        [
+            "SendToWebhook"
+        ],
+        {
+            "title_aux": "ComfyUI_Save2Discord"
+        }
+    ],
+    "https://github.com/SeedV/ComfyUI-SeedV-Nodes": [
+        [
+            "CheckpointLoaderSimpleShared //SeedV",
+            "ControlNetLoaderAdvancedShared",
+            "LoraLoader //SeedV",
+            "Script"
+        ],
+        {
+            "title_aux": "ComfyUI-SeedV-Nodes [UNSAFE]"
+        }
+    ],
+    "https://github.com/Shinsplat/ComfyUI-Shinsplat": [
+        [
+            "Clip Text Encode (Shinsplat)",
+            "Clip Text Encode SD3 (Shinsplat)",
+            "Clip Text Encode SDXL (Shinsplat)",
+            "Clip Text Encode T5 (Shinsplat)",
+            "Clip Tokens Encode (Shinsplat)",
+            "Green Box (Shinsplat)",
+            "Hex To Other (Shinsplat)",
+            "KSampler (Shinsplat)",
+            "Lora Loader (Shinsplat)",
+            "Nupoma (Shinsplat)",
+            "Seed (Shinsplat)",
+            "String Interpolated (Shinsplat)",
+            "Sum Wrap (Shinsplat)",
+            "Tensor Toys (Shinsplat)",
+            "Test Node (Shinsplat)",
+            "Text To Tokens (Shinsplat)",
+            "Text To Tokens SD3 (Shinsplat)",
+            "Variables (Shinsplat)"
+        ],
+        {
+            "author": "Shinsplat",
+            "description": "",
+            "nickname": "shinsplat",
+            "title": "Shinsplat",
+            "title_aux": "ComfyUI-Shinsplat [UNSAFE]"
+        }
+    ],
+    "https://github.com/SpaceWarpStudio/ComfyUI_Remaker_FaceSwap": [
+        [
+            "RemakerFaceSwap"
+        ],
+        {
+            "title_aux": "ComfyUI_Remaker_FaceSwap"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_CSDMT_CXH": [
+        [
+            "CSD"
+        ],
+        {
+            "title_aux": "Comfyui_CXH_CRM"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_CXH_CRM": [
+        [
+            "CRM"
+        ],
+        {
+            "title_aux": "Comfyui_CXH_CRM"
+        }
+    ],
+    "https://github.com/TSFSean/ComfyUI-TSFNodes": [
+        [
+            "GyroOSC"
+        ],
+        {
+            "title_aux": "ComfyUI-TSFNodes"
+        }
+    ],
+    "https://github.com/ThisModernDay/ComfyUI-InstructorOllama": [
+        [
+            "OllamaInstructorNode"
+        ],
+        {
+            "title_aux": "ComfyUI Instructor Ollama"
+        }
+    ],
+    "https://github.com/Video3DGenResearch/comfyui-batch-input-node": [
+        [
+            "BatchImageAndPrompt",
+            "BatchInputCSV",
+            "BatchInputText"
+        ],
+        {
+            "title_aux": "ComfyUI Batch Input Node"
+        }
+    ],
+    "https://github.com/VisionExp/ve_custom_comfyui_nodes": [
+        [
+            "LoadImgFromInputUrl",
+            "assets/Asset Image",
+            "render3d/Render Node"
+        ],
+        {
+            "title_aux": "ve_custom_comfyui_nodes"
+        }
+    ],
+    "https://github.com/VykosX/ControlFlowUtils": [
+        [
+            "CheckpointSelector",
+            "Cycle",
+            "CycleEnd",
+            "CycleStart",
+            "DataMonitor",
+            "GarbageCollector",
+            "HaltExecution",
+            "IfConditionSelector",
+            "ImageResolutionAdjust",
+            "LoraSelector",
+            "MemoryStorage",
+            "NullInput",
+            "NullOutput",
+            "ReadTextFile",
+            "SaveTextFile",
+            "UniversalSwitch",
+            "UnloadModels",
+            "VAESelector",
+            "Wait"
+        ],
+        {
+            "title_aux": "ControlFlowUtils [UNSTABLE]"
+        }
+    ],
+    "https://github.com/WSJUSA/Comfyui-StableSR": [
+        [
+            "ColorFix",
+            "StableSRUpscalerPipe"
+        ],
+        {
+            "author": "WSJUSA",
+            "description": "This module enables StableSR in Comgfyui. Ported work of sd-webui-stablesr. Original work for Auotmaatic1111 version of this module and StableSR credit to LIightChaser and Jianyi Wang.",
+            "nickname": "StableSR",
+            "title": "StableSR",
+            "title_aux": "pre-comfyui-stablsr"
+        }
+    ],
+    "https://github.com/WilliamStanford/visuallabs_comfyui_nodes": [
+        [
+            "CreateFadeMaskAdvancedVL",
+            "PointStringFromFloatArray",
+            "RescaleFloatArray",
+            "StringFromFloatArray"
+        ],
+        {
+            "title_aux": "visuallabs_comfyui_nodes"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-AuraSR-ZHO": [
+        [
+            "AuraSR_Lterative_Zho",
+            "AuraSR_ModelLoader_Zho",
+            "AuraSR_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-AuraSR-ZHO"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PuLID-ZHO": [
+        [
+            "PuLID_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-PuLID-ZHO [WIP]"
+        }
+    ],
+    "https://github.com/adityathiru/ComfyUI-LLMs": [
+        [
+            "Model",
+            "Model V2",
+            "Predict",
+            "Predict V2",
+            "Prompt Builder",
+            "Text Field"
+        ],
+        {
+            "title_aux": "ComfyUI LLMs [WIP]"
+        }
+    ],
+    "https://github.com/alexisrolland/ComfyUI-AuraSR": [
+        [
+            "RunAuraSR",
+            "downloadAuraSR"
+        ],
+        {
+            "title_aux": "alexisrolland/ComfyUI-AuraSR"
+        }
+    ],
+    "https://github.com/alt-key-project/comfyui-dream-video-batches": [
+        [
+            "Blended Transition [DVB]",
+            "Calculation [DVB]",
+            "Create Frame Set [DVB]",
+            "Divide [DVB]",
+            "Fade From Black [DVB]",
+            "Fade To Black [DVB]",
+            "Float Input [DVB]",
+            "For Each Done [DVB]",
+            "For Each Filename [DVB]",
+            "Frame Set Append [DVB]",
+            "Frame Set Frame Dimensions Scaled [DVB]",
+            "Frame Set Index Offset [DVB]",
+            "Frame Set Merger [DVB]",
+            "Frame Set Reindex [DVB]",
+            "Frame Set Repeat [DVB]",
+            "Frame Set Reverse [DVB]",
+            "Frame Set Split Beginning [DVB]",
+            "Frame Set Split End [DVB]",
+            "Frame Set Splitter [DVB]",
+            "Generate Inbetween Frames [DVB]",
+            "Int Input [DVB]",
+            "Linear Camera Pan [DVB]",
+            "Linear Camera Roll [DVB]",
+            "Linear Camera Zoom [DVB]",
+            "Load Image From Path [DVB]",
+            "Multiply [DVB]",
+            "Sine Camera Pan [DVB]",
+            "Sine Camera Roll [DVB]",
+            "Sine Camera Zoom [DVB]",
+            "String Input [DVB]",
+            "Text Input [DVB]",
+            "Trace Memory Allocation [DVB]",
+            "Unwrap Frame Set [DVB]"
+        ],
+        {
+            "title_aux": "Dream Project Video Batches [WIP]"
+        }
+    ],
+    "https://github.com/baicai99/ComfyUI-FrameSkipping": [
+        [
+            "FrameSelector",
+            "FrameSkipping",
+            "FrameTruncating",
+            "IntOperationsNode",
+            "MaskFrameSkipping",
+            "MaskGenerator",
+            "MaskSelector"
+        ],
+        {
+            "title_aux": "ComfyUI-FrameSkipping"
+        }
+    ],
+    "https://github.com/bananasss00/Comfyui-PyExec": [
+        [
+            "PyExec",
+            "PyExec_Output",
+            "PyExec_OutputIsList"
+        ],
+        {
+            "author": "SeniorPioner",
+            "description": "Comfyui runtime python code execution",
+            "nickname": "PyExec",
+            "title": "PyExec",
+            "title_aux": "Comfyui-PyExec [UNSAFE]"
+        }
+    ],
+    "https://github.com/beyastard/ComfyUI_BeySoft": [
+        [
+            "BeySoft"
+        ],
+        {
+            "title_aux": "ComfyUI_BeySoft"
+        }
+    ],
+    "https://github.com/birnam/ComfyUI-GenData-Pack": [
+        [
+            "Checkpoint From String \ud83d\udc69\u200d\ud83d\udcbb",
+            "Checkpoint Rerouter \ud83d\udc69\u200d\ud83d\udcbb",
+            "Checkpoint Selector Stacker \ud83d\udc69\u200d\ud83d\udcbb",
+            "Checkpoint Selector \ud83d\udc69\u200d\ud83d\udcbb",
+            "Checkpoint to String \ud83d\udc69\u200d\ud83d\udcbb",
+            "Crop Recombine \ud83d\udc69\u200d\ud83d\udcbb",
+            "Crop|IP|Inpaint \ud83d\udc69\u200d\ud83d\udcbb",
+            "Crop|IP|Inpaint|SDXL \ud83d\udc69\u200d\ud83d\udcbb",
+            "Decode GenData \ud83d\udc69\u200d\ud83d\udcbb",
+            "Encode GenData \ud83d\udc69\u200d\ud83d\udcbb",
+            "GenData Stacker \ud83d\udc69\u200d\ud83d\udcbb",
+            "IPAdapterApply",
+            "IPAdapterApplyEncoded",
+            "IPAdapterApplyFaceID",
+            "IPAdapterBatchEmbeds",
+            "IPAdapterEncoder",
+            "IPAdapterLoadEmbeds",
+            "IPAdapterModelLoader",
+            "IPAdapterSaveEmbeds",
+            "IPAdapterTilesMasked",
+            "InsightFaceLoader",
+            "LoRA Stack to String \ud83d\udc69\u200d\ud83d\udcbb",
+            "LoRA Stacker From Prompt \ud83d\udc69\u200d\ud83d\udcbb",
+            "Load Checkpoints From File \ud83d\udc69\u200d\ud83d\udcbb",
+            "Load GenData From Dir \ud83d\udc69\u200d\ud83d\udcbb",
+            "Parse GenData \ud83d\udc69\u200d\ud83d\udcbb",
+            "PrepImageForClipVision",
+            "PrepImageForInsightFace",
+            "Provide GenData \ud83d\udc69\u200d\ud83d\udcbb",
+            "Save Image From GenData \ud83d\udc69\u200d\ud83d\udcbb",
+            "VAE From String \ud83d\udc69\u200d\ud83d\udcbb",
+            "VAE to String \ud83d\udc69\u200d\ud83d\udcbb",
+            "\u00d7 Product CheckpointXGenDatas \ud83d\udc69\u200d\ud83d\udcbb"
+        ],
+        {
+            "title_aux": "Gen Data Tester [WIP]"
+        }
+    ],
+    "https://github.com/bruce007lee/comfyui-cleaner": [
+        [
+            "cleaner"
+        ],
+        {
+            "title_aux": "comfyui-cleaner"
+        }
+    ],
+    "https://github.com/bruce007lee/comfyui-tiny-utils": [
+        [
+            "CropImageByMask",
+            "FaceAlign",
+            "FaceAlignImageProcess",
+            "FaceAlignMaskProcess",
+            "ImageFillColorByMask",
+            "ImageSAMMask",
+            "ImageTransposeAdvance",
+            "LoadImageAdvance"
+        ],
+        {
+            "title_aux": "comfyui-tiny-utils"
+        }
+    ],
+    "https://github.com/brycegoh/comfyui-custom-nodes": [
+        [
+            "CombineTwoImageIntoOne",
+            "FillMaskedArea",
+            "MaskAreaComparisonSegment",
+            "OCRAndMask"
+        ],
+        {
+            "title_aux": "brycegoh/comfyui-custom-nodes"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-DynamiCrafter": [
+        [
+            "DynamiCrafter Simple",
+            "DynamiCrafterInterp Simple",
+            "DynamiCrafterInterpLoader",
+            "DynamiCrafterLoader"
+        ],
+        {
+            "title_aux": "ComfyUI DynamiCrafter"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-mobvoi-openapi": [
+        [
+            "HtmlViewer",
+            "MobvoiOpenapiMetamanAudio",
+            "MobvoiOpenapiMetamanText",
+            "MobvoiOpenapiTts",
+            "OssUploadAudio",
+            "OssUploadImage"
+        ],
+        {
+            "title_aux": "ComfyUI-mobvoi-openapi"
+        }
+    ],
+    "https://github.com/christian-byrne/infinite-zoom-parallax-nodes": [
+        [
+            "Create Parallax Video",
+            "Layer Shifter for Parallax Outpainting",
+            "Load Parallax Frame",
+            "Parallax Config",
+            "Save Parallax Frame",
+            "Shrink and Pad for Outpainting"
+        ],
+        {
+            "title_aux": "\ud83c\udf0c Infinite Parallax Nodes [WIP]"
+        }
+    ],
+    "https://github.com/christian-byrne/python-interpreter-node": [
+        [
+            "Exec Python Code Script"
+        ],
+        {
+            "title_aux": "Python Interpreter ComfyUI Node [UNSAFE]"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI": [
+        [
+            "AddNoise",
+            "AlignYourStepsScheduler",
+            "BasicGuider",
+            "BasicScheduler",
+            "BetaSamplingScheduler",
+            "CFGGuider",
+            "CLIPAttentionMultiply",
+            "CLIPLoader",
+            "CLIPMergeAdd",
+            "CLIPMergeSimple",
+            "CLIPMergeSubtract",
+            "CLIPSave",
+            "CLIPSetLastLayer",
+            "CLIPTextEncode",
+            "CLIPTextEncodeControlnet",
+            "CLIPTextEncodeFlux",
+            "CLIPTextEncodeHunyuanDiT",
+            "CLIPTextEncodeSD3",
+            "CLIPTextEncodeSDXL",
+            "CLIPTextEncodeSDXLRefiner",
+            "CLIPVisionEncode",
+            "CLIPVisionLoader",
+            "Canny",
+            "CheckpointLoader",
+            "CheckpointLoaderSimple",
+            "CheckpointSave",
+            "ConditioningAverage",
+            "ConditioningCombine",
+            "ConditioningConcat",
+            "ConditioningSetArea",
+            "ConditioningSetAreaPercentage",
+            "ConditioningSetAreaStrength",
+            "ConditioningSetMask",
+            "ConditioningSetTimestepRange",
+            "ConditioningZeroOut",
+            "ControlNetApply",
+            "ControlNetApplyAdvanced",
+            "ControlNetApplySD3",
+            "ControlNetLoader",
+            "CropMask",
+            "DiffControlNetLoader",
+            "DifferentialDiffusion",
+            "DiffusersLoader",
+            "DisableNoise",
+            "DualCFGGuider",
+            "DualCLIPLoader",
+            "EmptyImage",
+            "EmptyLatentAudio",
+            "EmptyLatentImage",
+            "EmptySD3LatentImage",
+            "ExponentialScheduler",
+            "FeatherMask",
+            "FlipSigmas",
+            "FluxGuidance",
+            "FreeU",
+            "FreeU_V2",
+            "GITSScheduler",
+            "GLIGENLoader",
+            "GLIGENTextBoxApply",
+            "GrowMask",
+            "HyperTile",
+            "HypernetworkLoader",
+            "ImageBatch",
+            "ImageBlend",
+            "ImageBlur",
+            "ImageColorToMask",
+            "ImageCompositeMasked",
+            "ImageCrop",
+            "ImageFromBatch",
+            "ImageInvert",
+            "ImageOnlyCheckpointLoader",
+            "ImageOnlyCheckpointSave",
+            "ImagePadForOutpaint",
+            "ImageQuantize",
+            "ImageScale",
+            "ImageScaleBy",
+            "ImageScaleToTotalPixels",
+            "ImageSharpen",
+            "ImageToMask",
+            "ImageUpscaleWithModel",
+            "InpaintModelConditioning",
+            "InstructPixToPixConditioning",
+            "InvertMask",
+            "JoinImageWithAlpha",
+            "KSampler",
+            "KSamplerAdvanced",
+            "KSamplerSelect",
+            "KarrasScheduler",
+            "LatentAdd",
+            "LatentBatch",
+            "LatentBatchSeedBehavior",
+            "LatentBlend",
+            "LatentComposite",
+            "LatentCompositeMasked",
+            "LatentCrop",
+            "LatentFlip",
+            "LatentFromBatch",
+            "LatentInterpolate",
+            "LatentMultiply",
+            "LatentRotate",
+            "LatentSubtract",
+            "LatentUpscale",
+            "LatentUpscaleBy",
+            "LoadAudio",
+            "LoadImage",
+            "LoadImageMask",
+            "LoadLatent",
+            "LoraLoader",
+            "LoraLoaderModelOnly",
+            "MaskComposite",
+            "MaskToImage",
+            "ModelMergeAdd",
+            "ModelMergeBlocks",
+            "ModelMergeFlux1",
+            "ModelMergeSD1",
+            "ModelMergeSD2",
+            "ModelMergeSD3_2B",
+            "ModelMergeSDXL",
+            "ModelMergeSimple",
+            "ModelMergeSubtract",
+            "ModelSamplingAuraFlow",
+            "ModelSamplingContinuousEDM",
+            "ModelSamplingContinuousV",
+            "ModelSamplingDiscrete",
+            "ModelSamplingFlux",
+            "ModelSamplingSD3",
+            "ModelSamplingStableCascade",
+            "ModelSave",
+            "Morphology",
+            "PatchModelAddDownscale",
+            "PerpNeg",
+            "PerpNegGuider",
+            "PerturbedAttentionGuidance",
+            "PhotoMakerEncode",
+            "PhotoMakerLoader",
+            "PolyexponentialScheduler",
+            "PorterDuffImageComposite",
+            "PreviewAudio",
+            "PreviewImage",
+            "RandomNoise",
+            "RebatchImages",
+            "RebatchLatents",
+            "RepeatImageBatch",
+            "RepeatLatentBatch",
+            "RescaleCFG",
+            "SDTurboScheduler",
+            "SD_4XUpscale_Conditioning",
+            "SV3D_Conditioning",
+            "SVD_img2vid_Conditioning",
+            "SamplerCustom",
+            "SamplerCustomAdvanced",
+            "SamplerDPMAdaptative",
+            "SamplerDPMPP_2M_SDE",
+            "SamplerDPMPP_2S_Ancestral",
+            "SamplerDPMPP_3M_SDE",
+            "SamplerDPMPP_SDE",
+            "SamplerEulerAncestral",
+            "SamplerEulerAncestralCFGPP",
+            "SamplerEulerCFGpp",
+            "SamplerLCMUpscale",
+            "SamplerLMS",
+            "SaveAnimatedPNG",
+            "SaveAnimatedWEBP",
+            "SaveAudio",
+            "SaveImage",
+            "SaveImageWebsocket",
+            "SaveLatent",
+            "SelfAttentionGuidance",
+            "SetLatentNoiseMask",
+            "SetUnionControlNetType",
+            "SolidMask",
+            "SplitImageWithAlpha",
+            "SplitSigmas",
+            "SplitSigmasDenoise",
+            "StableCascade_EmptyLatentImage",
+            "StableCascade_StageB_Conditioning",
+            "StableCascade_StageC_VAEEncode",
+            "StableCascade_SuperResolutionControlnet",
+            "StableZero123_Conditioning",
+            "StableZero123_Conditioning_Batched",
+            "StubConstantImage",
+            "StubFloat",
+            "StubImage",
+            "StubInt",
+            "StubMask",
+            "StyleModelApply",
+            "StyleModelLoader",
+            "TestAccumulateNode",
+            "TestAccumulationGetItemNode",
+            "TestAccumulationGetLengthNode",
+            "TestAccumulationHeadNode",
+            "TestAccumulationSetItemNode",
+            "TestAccumulationTailNode",
+            "TestAccumulationToListNode",
+            "TestBoolOperationNode",
+            "TestCustomIsChanged",
+            "TestCustomValidation1",
+            "TestCustomValidation2",
+            "TestCustomValidation3",
+            "TestCustomValidation4",
+            "TestCustomValidation5",
+            "TestDynamicDependencyCycle",
+            "TestExecutionBlocker",
+            "TestFloatConditions",
+            "TestForLoopClose",
+            "TestForLoopOpen",
+            "TestIntConditions",
+            "TestIntMathOperation",
+            "TestIsChangedWithConstants",
+            "TestLazyMixImages",
+            "TestListToAccumulationNode",
+            "TestMakeListNode",
+            "TestMixedExpansionReturns",
+            "TestStringConditions",
+            "TestToBoolNode",
+            "TestVariadicAverage",
+            "TestWhileLoopClose",
+            "TestWhileLoopOpen",
+            "ThresholdMask",
+            "TomePatchModel",
+            "TripleCLIPLoader",
+            "UNETLoader",
+            "UNetCrossAttentionMultiply",
+            "UNetSelfAttentionMultiply",
+            "UNetTemporalAttentionMultiply",
+            "UpscaleModelLoader",
+            "VAEDecode",
+            "VAEDecodeAudio",
+            "VAEDecodeTiled",
+            "VAEEncode",
+            "VAEEncodeAudio",
+            "VAEEncodeForInpaint",
+            "VAEEncodeTiled",
+            "VAELoader",
+            "VAESave",
+            "VPScheduler",
+            "VideoLinearCFGGuidance",
+            "VideoTriangleCFGGuidance",
+            "WebcamCapture",
+            "unCLIPCheckpointLoader",
+            "unCLIPConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI_bitsandbytes_NF4": [
+        [
+            "CheckpointLoaderNF4"
+        ],
+        {
+            "title_aux": "ComfyUI_bitsandbytes_NF4 [EXPERIMENTAL]"
+        }
+    ],
+    "https://github.com/comfypod/ComfyUI-Comflow": [
+        [
+            "ComflowInputBoolean",
+            "ComflowInputCheckpoint",
+            "ComflowInputImage",
+            "ComflowInputImageAlpha",
+            "ComflowInputImageBatch",
+            "ComflowInputLora",
+            "ComflowInputNumber",
+            "ComflowInputNumberInt",
+            "ComflowInputNumberSlider",
+            "ComflowInputText",
+            "ComflowInputVid",
+            "ComflowInputVideo",
+            "ComflowWebsocketImageInput",
+            "ComflowWebsocketImageOutput"
+        ],
+        {
+            "description": "",
+            "nickname": "Comflow",
+            "title": "comflow",
+            "title_aux": "ComfyUI-Comflow"
+        }
+    ],
+    "https://github.com/corbin-hayden13/ComfyUI-Better-Dimensions": [
+        [
+            "BetterImageDimensions",
+            "PureRatio",
+            "SDXLDimensions"
+        ],
+        {
+            "title_aux": "ComfyUI-Better-Dimensions"
+        }
+    ],
+    "https://github.com/denislov/Comfyui_AutoSurvey": [
+        [
+            "AddDoc2Knowledge",
+            "AutoSurvey",
+            "ChatModel",
+            "ComfyMilvus",
+            "ComfyWeaviate",
+            "ManageDatabase",
+            "MilvusScheme",
+            "MsField",
+            "QueryKnowledge",
+            "WcProperty",
+            "WcPropertyComb",
+            "WriteOutline",
+            "WriteSection"
+        ],
+        {
+            "title_aux": "Comfyui_AutoSurvey"
+        }
+    ],
+    "https://github.com/dfl/comfyui-stylegan": [
+        [
+            "StyleGAN Generator",
+            "StyleGAN ModelLoader"
+        ],
+        {
+            "title_aux": "comfyui-stylegan"
+        }
+    ],
+    "https://github.com/doucx/ComfyUI_WcpD_Utility_Kit": [
+        [
+            "BlackImage",
+            "CopyImage(Wayland)",
+            "ExecStrAsCode",
+            "MergeStrings",
+            "YamlToPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI_WcpD_Utility_Kit"
+        }
+    ],
+    "https://github.com/eigenpunk/ComfyUI-audio": [
+        [
+            "ApplyVoiceFixer",
+            "BatchAudio",
+            "BlendAudio",
+            "ClipAudioRegion",
+            "CombineImageWithAudio",
+            "ConcatAudio",
+            "ConvertAudio",
+            "FilterAudio",
+            "FlattenAudioBatch",
+            "HifiGANApply",
+            "HifiGANLoader",
+            "HifiGANModelParams",
+            "InvertAudioPhase",
+            "LoadAudio",
+            "MusicgenGenerate",
+            "MusicgenHFGenerate",
+            "MusicgenHFLoader",
+            "MusicgenLoader",
+            "NormalizeAudio",
+            "PreviewAudio",
+            "ResampleAudio",
+            "SaveAudio",
+            "SpectrogramImage",
+            "Tacotron2Generate",
+            "Tacotron2Loader",
+            "ToMelSpectrogram",
+            "TortoiseTTSGenerate",
+            "TortoiseTTSLoader",
+            "TrimAudio",
+            "TrimAudioSamples",
+            "TrimSilence",
+            "VALLEXGenerator",
+            "VALLEXLoader",
+            "VALLEXVoicePromptFromAudio",
+            "VALLEXVoicePromptLoader",
+            "WaveGlowApply",
+            "WaveGlowLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-audio"
+        }
+    ],
+    "https://github.com/ejektaflex/ComfyUI-Ty": [
+        [
+            "Lora Block Weight Regex Loader // Ty"
+        ],
+        {
+            "title_aux": "ComfyUI-Ty"
+        }
+    ],
+    "https://github.com/endman100/ComfyUI-SaveAndLoadPromptCondition": [
+        [
+            "LoadContditioning",
+            "SaveConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI Nodes: SaveConditioning and LoadConditioning"
+        }
+    ],
+    "https://github.com/endman100/ComfyUI-augmentation": [
+        [
+            "RamdomFlipImage (endman100)"
+        ],
+        {
+            "title_aux": "ComfyUI-augmentation"
+        }
+    ],
+    "https://github.com/ericbeyer/guidance_interval": [
+        [
+            "Guidance Interval"
+        ],
+        {
+            "title_aux": "guidance_interval"
+        }
+    ],
+    "https://github.com/flowtyone/comfyui-flowty-lcm": [
+        [
+            "LCMSampler"
+        ],
+        {
+            "title_aux": "comfyui-flowty-lcm"
+        }
+    ],
+    "https://github.com/flyingdogsoftware/gyre_for_comfyui": [
+        [
+            "BackgroundRemoval",
+            "GyreIfElse",
+            "GyreLoopEnd",
+            "GyreLoopStart"
+        ],
+        {
+            "title_aux": "Gyre for ComfyUI"
+        }
+    ],
+    "https://github.com/foglerek/comfyui-cem-tools": [
+        [
+            "ProcessImageBatch"
+        ],
+        {
+            "title_aux": "comfyui-cem-tools"
+        }
+    ],
+    "https://github.com/gameltb/ComfyUI_stable_fast": [
+        [
+            "ApplyStableFastUnet",
+            "ApplyTensorRTControlNet",
+            "ApplyTensorRTUnet",
+            "ApplyTensorRTVaeDecoder"
+        ],
+        {
+            "title_aux": "ComfyUI_stable_fast"
+        }
+    ],
+    "https://github.com/githubYiheng/comfyui_median_filter": [
+        [
+            "ImageMedianFilter"
+        ],
+        {
+            "title_aux": "comfyui_median_filter"
+        }
+    ],
+    "https://github.com/go-package-lab/ComfyUI-Tools-Video-Combine": [
+        [
+            "Tools:Image2video",
+            "Tools:LoadAudioUrl",
+            "Tools:VideoWatermark"
+        ],
+        {
+            "title_aux": "ComfyUI-Tools-Video-Combine [WIP]"
+        }
+    ],
+    "https://github.com/haodman/ComfyUI_Rain": [
+        [
+            "Rain_ImageSize",
+            "Rain_IntToFloat",
+            "Rain_Math",
+            "Rain_ValueSwitch"
+        ],
+        {
+            "title_aux": "ComfyUI_Rain"
+        }
+    ],
+    "https://github.com/haofanwang/ComfyUI-InstantStyle": [
+        [
+            "BaseModelLoader",
+            "InstantStyleGenerationNode",
+            "InstantStyleLoader",
+            "PromptLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-InstantStyle"
+        }
+    ],
+    "https://github.com/haomole/Comfyui-SadTalker": [
+        [
+            "LoadRefVideo",
+            "SadTalker",
+            "ShowAudio",
+            "ShowText",
+            "ShowVideo"
+        ],
+        {
+            "title_aux": "Comfyui-SadTalker"
+        }
+    ],
+    "https://github.com/horidream/ComfyUI-Horidream": [
+        [
+            "PassThroughWithSound"
+        ],
+        {
+            "title_aux": "ComfyUI-Horidream"
+        }
+    ],
+    "https://github.com/hotpizzatactics/ComfyUI-WaterMark-Detector": [
+        [
+            "AdaptiveThresholding",
+            "AdvancedWatermarkEnhancement",
+            "AdvancedWaveletWatermarkEnhancement",
+            "CLAHEEnhancement",
+            "CombineEnhancements",
+            "ComprehensiveImageEnhancement",
+            "DenoisingFilter",
+            "EdgeDetection",
+            "FlexibleCombineEnhancements",
+            "HighPassFilter",
+            "ImprovedGrayColorEnhancement",
+            "MorphologicalOperations",
+            "TextureEnhancement",
+            "WatermarkEnhancement"
+        ],
+        {
+            "title_aux": "ComfyUI-WaterMark-Detector"
+        }
+    ],
+    "https://github.com/houdinii/comfy-magick": [
+        [
+            "AdaptiveBlur",
+            "AdaptiveSharpen",
+            "AddNoise",
+            "BlueShift",
+            "Blur",
+            "Charcoal",
+            "Colorize",
+            "CropByAspectRatio",
+            "Despeckle",
+            "Edge",
+            "Emboss",
+            "FX",
+            "GaussianBlur",
+            "Implode",
+            "Kuwahara",
+            "MotionBlur",
+            "RotationalBlur",
+            "SelectiveBlur",
+            "Sepia",
+            "Shade",
+            "Sharpen",
+            "Sketch",
+            "Solarize",
+            "Spread",
+            "Stereogram",
+            "Swirl",
+            "Tint",
+            "UnsharpMask",
+            "Vignette",
+            "WaveletDenoise"
+        ],
+        {
+            "title_aux": "comfy-magick [WIP]"
+        }
+    ],
+    "https://github.com/huizhang0110/ComfyUI_Easy_Nodes_hui": [
+        [
+            "EasyBgRemover",
+            "EasyBgRemover_ModelLoader",
+            "EasyControlNetApply",
+            "EasyControlNetLoader",
+            "EasyEmptyLatentImage",
+            "EasyLatentToCondition",
+            "EasyLoadImage"
+        ],
+        {
+            "title_aux": "ComfyUI_Easy_Nodes_hui"
+        }
+    ],
+    "https://github.com/hy134300/comfyui-hb-node": [
+        [
+            "generate story",
+            "hy save image",
+            "latent to list",
+            "movie batch",
+            "movie generate",
+            "sound voice",
+            "text concat"
+        ],
+        {
+            "title_aux": "comfyui-hb-node"
+        }
+    ],
+    "https://github.com/hy134300/comfyui-hydit": [
+        [
+            "DiffusersClipTextEncode",
+            "DiffusersModelMakeup",
+            "DiffusersPipelineLoader",
+            "DiffusersSampler",
+            "DiffusersSchedulerLoader"
+        ],
+        {
+            "title_aux": "comfyui-hydit"
+        }
+    ],
+    "https://github.com/ilovejohnwhite/Tracer": [
+        [
+            "HintImageEnchance",
+            "Image Load TTK",
+            "ImageGenResolutionFromImage",
+            "ImageGenResolutionFromLatent",
+            "LinkMasterNode",
+            "PixelPerfectResolution",
+            "SuckerPunch",
+            "UWU_Preprocessor"
+        ],
+        {
+            "title_aux": "Kolors Awesome Prompts [WIP]"
+        }
+    ],
+    "https://github.com/ilovejohnwhite/UncleBillyGoncho": [
+        [
+            "CannyEdgePreprocessor",
+            "DiffusionEdge_Preprocessor",
+            "HintImageEnchance",
+            "ImageGenResolutionFromImage",
+            "ImageGenResolutionFromLatent",
+            "LineArtPreprocessor",
+            "LinkMasterNode",
+            "PiDiNetPreprocessor",
+            "PixelPerfectResolution",
+            "SuckerPunch",
+            "UWU_Preprocessor",
+            "VooDooNode",
+            "VooDooNode2"
+        ],
+        {
+            "title_aux": "TatToolkit"
+        }
+    ],
+    "https://github.com/immersiveexperience/ie-comfyui-color-nodes": [
+        [
+            "Average Color",
+            "Complementary Color",
+            "Hex Color to Image",
+            "Hex to Color Name",
+            "Random String"
+        ],
+        {
+            "title_aux": "ie-comfyui-color-nodes"
+        }
+    ],
+    "https://github.com/jgbrblmd/ComfyUI-ComfyFluxSize": [
+        [
+            "ComfyFluxSize"
+        ],
+        {
+            "title_aux": "ComfyUI-ComfyFluxSize [WIP]"
+        }
+    ],
+    "https://github.com/jh-leon-kim/ComfyUI-JHK-utils": [
+        [
+            "JHK_Utils_ImageRemoveBackground",
+            "JHK_Utils_LargestImageSelector",
+            "JHK_Utils_LoadEmbed",
+            "JHK_Utils_LoadImageFromPath",
+            "JHK_Utils_RandomImageSelector",
+            "JHK_Utils_SelectSingleImageFromPath",
+            "JHK_Utils_string_filter",
+            "JHK_Utils_string_merge"
+        ],
+        {
+            "title_aux": "ComfyUI-JHK-utils"
+        }
+    ],
+    "https://github.com/jimmm-ai/TimeUi-a-ComfyUi-Timeline-Node": [
+        [
+            "jimmm.ai.TimelineUI"
+        ],
+        {
+            "title_aux": "TimeUi a ComfyUI Timeline Node System [WIP]"
+        }
+    ],
+    "https://github.com/jimstudt/ComfyUI-Jims-Nodes": [
+        [
+            "ChooseFromStringList",
+            "Cubby",
+            "DefineWord",
+            "DictionaryToJSON",
+            "JSONToDictionary",
+            "LoadImageAndInfoFromPath",
+            "LookupWord",
+            "ReplaceWords",
+            "TextToStringList",
+            "ZoomFocus"
+        ],
+        {
+            "title_aux": "Jim's ComfyUI Nodes [WIP]"
+        }
+    ],
+    "https://github.com/jinljin/ComfyUI-ElevenlabsAndDID-Combine": [
+        [
+            "BatchTalkingHeadRun",
+            "\ud83d\ude80SingleTalkingHeadRun"
+        ],
+        {
+            "title_aux": "ComfyUI-Talking-Head [WIP]"
+        }
+    ],
+    "https://github.com/jn-jairo/jn_node_suite_comfyui": [
+        [
+            "JN_AreaInfo",
+            "JN_AreaNormalize",
+            "JN_AreaWidthHeight",
+            "JN_AreaXY",
+            "JN_Blip",
+            "JN_BlipLoader",
+            "JN_BooleanOperation",
+            "JN_Condition",
+            "JN_CoolDown",
+            "JN_CoolDownOutput",
+            "JN_CropFace",
+            "JN_DatetimeFormat",
+            "JN_DatetimeInfo",
+            "JN_DatetimeNow",
+            "JN_Dump",
+            "JN_DumpOutput",
+            "JN_FaceRestoreModelLoader",
+            "JN_FaceRestoreWithModel",
+            "JN_FirstActive",
+            "JN_ImageAddMask",
+            "JN_ImageBatch",
+            "JN_ImageCenterArea",
+            "JN_ImageCrop",
+            "JN_ImageGrid",
+            "JN_ImageInfo",
+            "JN_ImageSharpness",
+            "JN_ImageSquare",
+            "JN_ImageUncrop",
+            "JN_KSampler",
+            "JN_KSamplerAdvancedParams",
+            "JN_KSamplerFaceRestoreParams",
+            "JN_KSamplerResizeInputParams",
+            "JN_KSamplerResizeMaskAreaParams",
+            "JN_KSamplerResizeOutputParams",
+            "JN_KSamplerSeamlessParams",
+            "JN_KSamplerTileParams",
+            "JN_LoadImageDirectory",
+            "JN_LogicOperation",
+            "JN_MaskInfo",
+            "JN_MathOperation",
+            "JN_MathOperationArray",
+            "JN_PrimitiveArrayInfo",
+            "JN_PrimitiveBatchToArray",
+            "JN_PrimitiveBoolean",
+            "JN_PrimitiveFloat",
+            "JN_PrimitiveInt",
+            "JN_PrimitivePrompt",
+            "JN_PrimitiveString",
+            "JN_PrimitiveStringMultiline",
+            "JN_PrimitiveStringToArray",
+            "JN_PrimitiveToArray",
+            "JN_PrimitiveToBoolean",
+            "JN_PrimitiveToFloat",
+            "JN_PrimitiveToInt",
+            "JN_PrimitiveToString",
+            "JN_RemoveBackground",
+            "JN_Seamless",
+            "JN_SeamlessBorder",
+            "JN_SeamlessBorderCrop",
+            "JN_SelectItem",
+            "JN_Sleep",
+            "JN_SleepOutput",
+            "JN_SliceOperation",
+            "JN_StopIf",
+            "JN_StopIfOutput",
+            "JN_TextConcatenation",
+            "JN_TextReplace",
+            "JN_TimedeltaFormat",
+            "JN_TimedeltaInfo",
+            "JN_VAEPatch"
+        ],
+        {
+            "title_aux": "jn_node_suite_comfyui [WIP]"
+        }
+    ],
+    "https://github.com/jp0215/comfyUI_padding-resize_node/raw/main/PaddingNode.py": [
+        [
+            "function"
+        ],
+        {
+            "title_aux": "comfyUI_padding-resize_node"
+        }
+    ],
+    "https://github.com/jtscmw01/ComfyUI-DiffBIR": [
+        [
+            "DiffBIR_sample",
+            "DiffBIR_sample_advanced",
+            "Simple_load",
+            "Stage1_load",
+            "Stage2_load"
+        ],
+        {
+            "title_aux": "ComfyUI-DiffBIR"
+        }
+    ],
+    "https://github.com/jtydhr88/ComfyUI-Unique3D": [
+        [
+            "Unique3DLoadPipeline",
+            "Unique3DRun - Geo Reconstruct",
+            "Unique3DRun - MVPrediction"
+        ],
+        {
+            "title_aux": "ComfyUI-Unique3D [WIP]"
+        }
+    ],
+    "https://github.com/kadirnar/ComfyUI-Adapter": [
+        [
+            "GarmentSegLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-Adapter [WIP]"
+        }
+    ],
+    "https://github.com/kadirnar/comfyui_helpers": [
+        [
+            "CircularVAEDecode",
+            "CustomKSamplerAdvancedTile",
+            "JDC_AutoContrast",
+            "JDC_BlendImages",
+            "JDC_BrownNoise",
+            "JDC_Contrast",
+            "JDC_EqualizeGrey",
+            "JDC_GaussianBlur",
+            "JDC_GreyNoise",
+            "JDC_Greyscale",
+            "JDC_ImageLoader",
+            "JDC_ImageLoaderMeta",
+            "JDC_PinkNoise",
+            "JDC_Plasma",
+            "JDC_PlasmaSampler",
+            "JDC_PowerImage",
+            "JDC_RandNoise",
+            "JDC_ResizeFactor",
+            "LatentGaussianNoise",
+            "LatentToRGB",
+            "MathEncode",
+            "NoisyLatentPerlin"
+        ],
+        {
+            "title_aux": "comfyui_helpers"
+        }
+    ],
+    "https://github.com/kappa54m/ComfyUI_Usability": [
+        [
+            "KLoadImageByPath",
+            "KLoadImageByPathAdvanced",
+            "KLoadImageDedup"
+        ],
+        {
+            "title_aux": "ComfyUI_Usability (WIP)"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-CV-VAE": [
+        [
+            "CV_VAE_Decode",
+            "CV_VAE_Encode",
+            "CV_VAE_Load"
+        ],
+        {
+            "title_aux": "ComfyUI-CV-VAE"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DeepSeek-VL": [
+        [
+            "deepseek_vl_inference",
+            "deepseek_vl_model_loader"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use DeepSeek-VL"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DiffSynthWrapper": [
+        [
+            "DiffSynthSampler",
+            "DownloadAndLoadDiffSynthExVideoSVD"
+        ],
+        {
+            "title_aux": "ComfyUI DiffSynth wrapper nodes"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DiffusersSD3Wrapper": [
+        [
+            "LoadSD3DiffusersPipeline",
+            "SD3ControlNetSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-DiffusersSD3Wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-EasyAnimateWrapper": [
+        [
+            "DownloadAndLoadEasyAnimateModel",
+            "EasyAnimateDecode",
+            "EasyAnimateImageEncoder",
+            "EasyAnimateResize",
+            "EasyAnimateSampler",
+            "EasyAnimateTextEncode"
+        ],
+        {
+            "title_aux": "ComfyUI-EasyAnimateWrapper [WIP]"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-FollowYourEmojiWrapper": [
+        [
+            "DownloadAndLoadFYEModel",
+            "FYECLIPEncode",
+            "FYEClipEmbedToComfy",
+            "FYELandmarkEncode",
+            "FYELandmarkToComfy",
+            "FYEMediaPipe",
+            "FYESampler",
+            "FYESamplerLong"
+        ],
+        {
+            "title_aux": "ComfyUI-FollowYourEmojiWrapper [WIP]"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-VEnhancer": [
+        [
+            "DownloadAndLoadVEnhancerModel",
+            "VEnhancerSampler",
+            "VEnhancerUnpad"
+        ],
+        {
+            "title_aux": "ComfyUI nodes for VEnhancer [WIP]"
+        }
+    ],
+    "https://github.com/komojini/ComfyUI_Prompt_Template_CustomNodes/raw/main/prompt_with_template.py": [
+        [
+            "ObjectPromptWithTemplate",
+            "PromptWithTemplate"
+        ],
+        {
+            "title_aux": "ComfyUI_Prompt_Template_CustomNodes"
+        }
+    ],
+    "https://github.com/kycg/comfyui-Kwtoolset": [
+        [
+            "KWNagetiveString",
+            "KWPositiveString",
+            "KWanywhereString",
+            "KwtoolsetChangeOpenpose",
+            "KwtoolsetCheckpointLoaderwithpreview",
+            "KwtoolsetGetHipMask",
+            "KwtoolsetGetHipMasktest",
+            "KwtoolsetGetImageSize",
+            "KwtoolsetGrowMaskPlus",
+            "KwtoolsetLoadCheckpointsBatch",
+            "KwtoolsetLoraLoaderwithpreview",
+            "LatentMatch"
+        ],
+        {
+            "title_aux": "comfyui-Kwtoolset"
+        }
+    ],
+    "https://github.com/laksjdjf/ssd-1b-comfyui": [
+        [
+            "SSD-1B-Loader"
+        ],
+        {
+            "title_aux": "ssd-1b-comfyui"
+        }
+    ],
+    "https://github.com/leoleelxh/ComfyUI-MidjourneyNode-leoleexh": [
+        [
+            "MidjourneyGenerateNode",
+            "MidjourneyUpscaleNode"
+        ],
+        {
+            "title_aux": "ComfyUI-MidjourneyNode-leoleexh"
+        }
+    ],
+    "https://github.com/linhusyung/comfyui-Build-and-train-your-network": [
+        [
+            "Conv_layer",
+            "Normalization_layer",
+            "activation_function",
+            "create_dataset",
+            "create_intput",
+            "create_model",
+            "create_training_task",
+            "forward_test",
+            "linear_layer",
+            "pooling_layer",
+            "pre_train_layer",
+            "res_connect",
+            "show_dimensions",
+            "view_layer"
+        ],
+        {
+            "title_aux": "ComfyUI Build and Train Your Network [WIP]"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-Fluxtapoz": [
+        [
+            "FluxDeGuidance",
+            "FluxInverseSampler",
+            "InFluxFlipSigmas",
+            "InFluxModelSamplingPred",
+            "OutFluxModelSamplingPred"
+        ],
+        {
+            "title_aux": "ComfyUI-Fluxtapoz [WIP]"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-Veevee": [
+        [
+            "ApplyVVModel",
+            "FlowConfig",
+            "FlowGetFlow",
+            "GetRaftFlow",
+            "InjectionConfig",
+            "PivotConfig",
+            "RaveConfig",
+            "SCAConfig",
+            "TemporalConfig",
+            "VVSamplerSampler",
+            "VVUnsamplerSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-Veevee [WIP]"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-one-more-step": [
+        [
+            "Calculate More Step Latent",
+            "Load More Step Model"
+        ],
+        {
+            "title_aux": "comfyui-one-more-step [WIP]"
+        }
+    ],
+    "https://github.com/ltdrdata/ComfyUI-Workflow-Component": [
+        [
+            "ComboToString",
+            "ExecutionBlocker",
+            "ExecutionControlString",
+            "ExecutionOneOf",
+            "ExecutionSwitch",
+            "InputUnzip",
+            "InputZip",
+            "LoopControl",
+            "LoopCounterCondition",
+            "OptionalTest",
+            "TensorToCPU"
+        ],
+        {
+            "title_aux": "ComfyUI-Workflow-Component [WIP]"
+        }
+    ],
+    "https://github.com/majorsauce/comfyui_indieTools": [
+        [
+            "IndCutByMask",
+            "IndLocalScale",
+            "IndPastImage",
+            "IndSolidify",
+            "IndYoloDetector"
+        ],
+        {
+            "title_aux": "comfyui_indieTools [WIP]"
+        }
+    ],
+    "https://github.com/marcueberall/ComfyUI-BuildPath": [
+        [
+            "Build Path Adv"
+        ],
+        {
+            "title_aux": "ComfyUI-BuildPath"
+        }
+    ],
+    "https://github.com/marduk191/comfyui-marnodes": [
+        [
+            "marduk191_5_text_string",
+            "marduk191_5way_text_switch",
+            "marduk191_s_random_latent",
+            "marduk191_workflow_settings"
+        ],
+        {
+            "author": "\u02f6marduk191",
+            "description": "marduk191s nodes.",
+            "nickname": "marduk191 workflow settings",
+            "title": "marduk191 workflow settings",
+            "title_aux": "comfyui-marnodes"
+        }
+    ],
+    "https://github.com/maruhidd/ComfyUI_Transparent-Background": [
+        [
+            "FillTransparentNode",
+            "RemoveBackgroundNode"
+        ],
+        {
+            "title_aux": "Transparent Background for ComfyUI"
+        }
+    ],
+    "https://github.com/mashb1t/comfyui-nodes-mashb1t": [
+        [
+            "mashb1t: LoadImage"
+        ],
+        {
+            "title_aux": "ComfyUI mashb1t nodes"
+        }
+    ],
+    "https://github.com/melMass/ComfyUI-Lygia": [
+        [
+            "LygiaProgram",
+            "LygiaUniforms"
+        ],
+        {
+            "title_aux": "ComfyUI-Lygia"
+        }
+    ],
+    "https://github.com/mikeymcfish/FishTools": [
+        [
+            "AnaglyphCreator",
+            "AnaglyphCreatorPro",
+            "Deptherize",
+            "LaserCutterFull",
+            "ShadowMap"
+        ],
+        {
+            "author": "Fish",
+            "description": "This extension provides tools for generating laser cutter ready files and other fun stuff",
+            "nickname": "FishTools",
+            "title": "FishTools",
+            "title_aux": "LaserCutterFull and Deptherize Nodes"
+        }
+    ],
+    "https://github.com/mut-ex/comfyui-gligengui-node": [
+        [
+            "GLIGEN_GUI"
+        ],
+        {
+            "title_aux": "ComfyUI GLIGEN GUI Node"
+        }
+    ],
+    "https://github.com/neeltheninja/ComfyUI-TextOverlay": [
+        [
+            "TextOverlay"
+        ],
+        {
+            "title_aux": "ComfyUI-TextOverlay"
+        }
+    ],
+    "https://github.com/neuratech-ai/ComfyUI-MultiGPU": [
+        [
+            "CLIPLoaderMultiGPU",
+            "CheckpointLoaderMultiGPU",
+            "ControlNetLoaderMultiGPU",
+            "DualCLIPLoaderMultiGPU",
+            "UNETLoaderMultiGPU",
+            "VAELoaderMultiGPU"
+        ],
+        {
+            "title_aux": "ComfyUI-MultiGPU"
+        }
+    ],
+    "https://github.com/neverbiasu/ComfyUI-ControlNeXt": [
+        [
+            "ControlNextPipelineConfig",
+            "ControlNextSDXL"
+        ],
+        {
+            "title_aux": "ComfyUI-ControlNeXt [WIP]"
+        }
+    ],
+    "https://github.com/nidefawl/ComfyUI-nidefawl": [
+        [
+            "BlendImagesWithBoundedMasks",
+            "CropImagesWithMasks",
+            "CustomCallback",
+            "DisplayAnyType",
+            "EmptyImageWithColor",
+            "ImageToLatent",
+            "LatentPerlinNoise",
+            "LatentScaledNoise",
+            "LatentToImage",
+            "MaskFromColor",
+            "ModelSamplerTonemapNoiseTest",
+            "PythonScript",
+            "ReferenceOnlySimple",
+            "SamplerCustomCallback",
+            "SamplerDPMPP_2M_SDE_nidefawl",
+            "SetLatentCustomNoise",
+            "SplitCustomSigmas",
+            "VAELoaderDataType",
+            "gcLatentTunnel"
+        ],
+        {
+            "title_aux": "ComfyUI-nidefawl [UNSAFE]"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-PromptUtilities": [
+        [
+            "PromptUtilitiesConstString",
+            "PromptUtilitiesConstStringMultiLine",
+            "PromptUtilitiesFormatString",
+            "PromptUtilitiesJoinStringList",
+            "PromptUtilitiesLoadPreset",
+            "PromptUtilitiesLoadPresetAdvanced",
+            "PromptUtilitiesPromptWeight",
+            "PromptUtilitiesRandomPreset",
+            "PromptUtilitiesRandomPresetAdvanced",
+            "PromptUtilitiesReplaceOrInsertTag",
+            "PromptUtilitiesRoundPromptWeight"
+        ],
+        {
+            "title_aux": "ComfyUI-PromptUtilities"
+        }
+    ],
+    "https://github.com/oyvindg/ComfyUI-TrollSuite": [
+        [
+            "BinaryImageMask",
+            "ImagePadding",
+            "LoadLastImage",
+            "RandomMask",
+            "TransparentImage"
+        ],
+        {
+            "title_aux": "ComfyUI-TrollSuite"
+        }
+    ],
+    "https://github.com/oztrkoguz/ComfyUI_Kosmos2_BBox_Cutter": [
+        [
+            "Kosmos2SamplerSimple",
+            "KosmosLoader",
+            "Write"
+        ],
+        {
+            "title_aux": "Kosmos2_BBox_Cutter Models"
+        }
+    ],
+    "https://github.com/pamparamm/ComfyUI-ppm": [
+        [
+            "AttentionCouplePPM",
+            "CFGLimiterGuider",
+            "CFGPPSamplerSelect",
+            "CLIPMicroConditioning",
+            "CLIPNegPip",
+            "CLIPTextEncodeBREAK",
+            "CLIPTokenCounter",
+            "DynSamplerSelect",
+            "EmptyLatentImageAR",
+            "EmptyLatentImageARAdvanced",
+            "Guidance Limiter",
+            "LatentToMaskBB",
+            "LatentToWidthHeight",
+            "RandomPromptGenerator",
+            "StableCascade_AutoCompLatent"
+        ],
+        {
+            "title_aux": "ComfyUI-ppm"
+        }
+    ],
+    "https://github.com/poisenbery/NudeNet-Detector-Provider": [
+        [
+            "NudeNetDetectorProvider"
+        ],
+        {
+            "title_aux": "NudeNet-Detector-Provider [WIP]"
+        }
+    ],
+    "https://github.com/prabinpebam/anyPython": [
+        [
+            "Any Python"
+        ],
+        {
+            "author": "prabinpebam",
+            "description": "This node can take any input and use that to run a python script in ComfyUI",
+            "nickname": "AnyPython",
+            "title": "AnyPython v0.1",
+            "title_aux": "anyPython [UNSAFE]"
+        }
+    ],
+    "https://github.com/prismwastaken/comfyui-tools": [
+        [
+            "Prism-RandomNormal"
+        ],
+        {
+            "title_aux": "prism-tools"
+        }
+    ],
+    "https://github.com/pzzmyc/comfyui-sd3-simple-simpletuner": [
+        [
+            "sd not very simple simpletuner by hhy"
+        ],
+        {
+            "title_aux": "comfyui-sd3-simple-simpletuner"
+        }
+    ],
+    "https://github.com/redhottensors/ComfyUI-ODE": [
+        [
+            "ODESamplerSelect"
+        ],
+        {
+            "author": "RedHotTensors",
+            "description": "Adaptive ODE Solvers for ComfyUI",
+            "nickname": "ComfyUI-ODE",
+            "title": "ComfyUI-ODE",
+            "title_aux": "ComfyUI-ODE"
+        }
+    ],
+    "https://github.com/sdfxai/SDFXBridgeForComfyUI": [
+        [
+            "SDFXClipTextEncode"
+        ],
+        {
+            "title_aux": "SDFXBridgeForComfyUI - ComfyUI Custom Node for SDFX Integration"
+        }
+    ],
+    "https://github.com/sebord/ComfyUI-LMCQ": [
+        [
+            "LmcqImageSaver",
+            "LmcqImageSaverTransit",
+            "LmcqImageSaverWeb",
+            "LmcqLoadFluxNF4Checkpoint"
+        ],
+        {
+            "title_aux": "ComfyUI-LMCQ [WIP]"
+        }
+    ],
+    "https://github.com/shadowcz007/ComfyUI-PuLID-Test": [
+        [
+            "ApplyPulid",
+            "PulidEvaClipLoader",
+            "PulidInsightFaceLoader",
+            "PulidModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-PuLID [TEST]"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-CLIPSeg": [
+        [
+            "CLIPSeg_",
+            "CombineMasks_"
+        ],
+        {
+            "title_aux": "comfyui-CLIPSeg"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-hydit-lowvram": [
+        [
+            "DiffusersCLIPLoader",
+            "DiffusersCheckpointLoader",
+            "DiffusersClipTextEncode",
+            "DiffusersControlNetLoader",
+            "DiffusersLoraLoader",
+            "DiffusersModelMakeup",
+            "DiffusersPipelineLoader",
+            "DiffusersSampler",
+            "DiffusersSchedulerLoader",
+            "DiffusersVAELoader"
+        ],
+        {
+            "title_aux": "comfyui-hydit"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-musicgen": [
+        [
+            "AudioPlay",
+            "Musicgen_",
+            "StableAudio_"
+        ],
+        {
+            "title_aux": "comfyui-musicgen"
+        }
+    ],
+    "https://github.com/shinich39/comfyui-event-handler": [
+        [
+            "EventHandler"
+        ],
+        {
+            "author": "shinich39",
+            "description": "Javascript code will run when an event fires.",
+            "nickname": "event-handler",
+            "title": "event-handler",
+            "title_aux": "comfyui-event-handler [USAFE]"
+        }
+    ],
+    "https://github.com/shirazdesigner/CLIPTextEncodeAndEnhancev4": [
+        [
+            "CLIPTextEncodeAndEnhance"
+        ],
+        {
+            "title_aux": "CLIPTextEncodeAndEnhancev4 (shirazdesigner)"
+        }
+    ],
+    "https://github.com/shuanshuan/ComfyUI_CheckPointLoader_Ext": [
+        [
+            "CheckpointLoaderExt"
+        ],
+        {
+            "title_aux": "ComfyUI_CheckPointLoader_Ext [WIP]"
+        }
+    ],
+    "https://github.com/sofakid/dandy": [
+        [
+            "DandyBooleanCollector",
+            "DandyBooleanPreview",
+            "DandyBooleanSplitter",
+            "DandyCss",
+            "DandyCssLoader",
+            "DandyEditorSettings",
+            "DandyFloatCollector",
+            "DandyFloatPreview",
+            "DandyFloatSplitter",
+            "DandyGradient",
+            "DandyHtml",
+            "DandyHtmlLoader",
+            "DandyImageCollector",
+            "DandyIntCollector",
+            "DandyIntPreview",
+            "DandyIntSplitter",
+            "DandyJs",
+            "DandyJsLoader",
+            "DandyJson",
+            "DandyJsonLoader",
+            "DandyLand",
+            "DandyMaskCollector",
+            "DandyP5JsDraw",
+            "DandyP5JsLoader",
+            "DandyP5JsSetup",
+            "DandyPixelsJs",
+            "DandyPixiJs",
+            "DandyPrompt",
+            "DandyString",
+            "DandyStringArrayCollector",
+            "DandyStringArraySplitter",
+            "DandyStringCatCollector",
+            "DandyStringPreview",
+            "DandyUrlLoader",
+            "DandyWasmLoader",
+            "DandyYaml",
+            "DandyYamlLoader"
+        ],
+        {
+            "title_aux": "dandy [UNSAFE]"
+        }
+    ],
+    "https://github.com/stutya/ComfyUI-Terminal": [
+        [
+            "Terminal"
+        ],
+        {
+            "title_aux": "ComfyUI-Terminal [UNSAFE]"
+        }
+    ],
+    "https://github.com/sugarkwork/comfyui_psd": [
+        [
+            "SavePSD"
+        ],
+        {
+            "title_aux": "comfyui_psd [WIP]"
+        }
+    ],
+    "https://github.com/talon468/ComfyUI-Rpg-Architect": [
+        [
+            "ComfyUI Rpg Architect \ud83e\ude84"
+        ],
+        {
+            "title_aux": "ComfyUI-Rpg-Architect [WIP]"
+        }
+    ],
+    "https://github.com/thderoo/ComfyUI-_topfun_s_nodes": [
+        [
+            "ConditioningPerturbation",
+            "TextGenerator"
+        ],
+        {
+            "title_aux": "_topfun_s_nodes"
+        }
+    ],
+    "https://github.com/tjorbogarden/my-useful-comfyui-custom-nodes": [
+        [
+            "ImageSizer",
+            "KSamplerSDXLAdvanced"
+        ],
+        {
+            "title_aux": "my-useful-comfyui-custom-nodes"
+        }
+    ],
+    "https://github.com/tom-doerr/dspy_nodes": [
+        [
+            "Accepted Examples Viewer",
+            "Dataset Reader",
+            "DynamicOptionsNode",
+            "Few Shot CoT",
+            "Few Shot Control",
+            "Few Shot Review",
+            "FewShotReview",
+            "FewShotReviewServer",
+            "Model",
+            "Predict",
+            "Print Hello World",
+            "Show Text",
+            "ShowText|pysssss",
+            "String List Viewer",
+            "String Splitter",
+            "StringReverser",
+            "StringSplitter",
+            "Text Field",
+            "Text Output"
+        ],
+        {
+            "title_aux": "DSPy Nodes [WIP]"
+        }
+    ],
+    "https://github.com/tracerstar/comfyui-p5js-node": [
+        [
+            "HYPE_P5JSImage"
+        ],
+        {
+            "title_aux": "comfyui-p5js-node"
+        }
+    ],
+    "https://github.com/tuckerdarby/ComfyUI-TDNodes": [
+        [
+            "HandTrackerNode",
+            "InstanceDiffusionLoader",
+            "InstanceTrackerPrompt",
+            "KSamplerBatchedNode",
+            "KSamplerRAVE",
+            "KSamplerTF",
+            "TemporalNetPreprocessor",
+            "TrackerNode",
+            "VideoTrackerPromptNode"
+        ],
+        {
+            "title_aux": "ComfyUI-TDNodes [WIP]"
+        }
+    ],
+    "https://github.com/umisetokikaze/comfyui_mergekit": [
+        [
+            "DefineSaveName",
+            "LoadLR",
+            "LoadTarget",
+            "Merge",
+            "SetLayer",
+            "SetModels",
+            "SetTokenizer",
+            "get_skip"
+        ],
+        {
+            "title_aux": "comfyui_mergekit [WIP]"
+        }
+    ],
+    "https://github.com/unanan/ComfyUI-Dist": [
+        [
+            "LoadCheckpointFromLAN",
+            "LoadCheckpointFromURL",
+            "LoadImageFromLAN",
+            "LoadImageFromURL",
+            "LoadWorkflowFromLAN",
+            "LoadWorkflowFromURL"
+        ],
+        {
+            "title_aux": "ComfyUI-Dist [WIP]"
+        }
+    ],
+    "https://github.com/unanan/ComfyUI-clip-interrogator": [
+        [
+            "ComfyUIClipInterrogator",
+            "ShowText"
+        ],
+        {
+            "title_aux": "ComfyUI-clip-interrogator [WIP]"
+        }
+    ],
+    "https://github.com/walterFeng/ComfyUI-Image-Utils": [
+        [
+            "Calculate Image Brightness",
+            "Calculate Image Contrast",
+            "Calculate Image Saturation",
+            "Color Similarity Checker",
+            "Displace Filter",
+            "Load Image (By Url)"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Utils"
+        }
+    ],
+    "https://github.com/willblaschko/ComfyUI-Unload-Models": [
+        [
+            "DeleteAnyObject",
+            "UnloadAllModels",
+            "UnloadOneModel"
+        ],
+        {
+            "title_aux": "ComfyUI-Unload-Models"
+        }
+    ],
+    "https://github.com/wormley/comfyui-wormley-nodes": [
+        [
+            "CheckpointVAELoaderSimpleText",
+            "CheckpointVAESelectorText",
+            "LoRA_Tag_To_Stack"
+        ],
+        {
+            "title_aux": "comfyui-wormley-nodes"
+        }
+    ],
+    "https://github.com/yojimbodayne/ComfyUI-Dropbox-API": [
+        [
+            "FetchTokenFromDropbox",
+            "PostImagesToDropboxAPI",
+            "PostPromptsToDropboxAPI",
+            "PullImagesFromDropboxAPI",
+            "PullTextFromDropboxAPI",
+            "PullVideosFromDropboxAPI",
+            "VideoCombineAndExportToDropboxAPI"
+        ],
+        {
+            "title_aux": "ComfyUI-Dropbox-API [WIP]"
+        }
+    ],
+    "https://github.com/yushan777/ComfyUI-Y7Nodes": [
+        [
+            "Count_Tokens_(Y7)"
+        ],
+        {
+            "title_aux": "Y7 Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/zhongpei/Comfyui_image2prompt": [
+        [
+            "CLIP AdvancedTextEncode|fofo",
+            "CLIP PromptConditioning|fofo",
+            "Image2Text",
+            "Image2TextWithTags",
+            "ImageBatchToList|fofo",
+            "ImageRewardScore|fofo",
+            "LoadImage2TextModel",
+            "LoadImageRewardScoreModel|fofo",
+            "LoadT5Model|fofo",
+            "LoadText2PromptModel",
+            "ShowText|fofo",
+            "T5QuantizationConfig|fofo",
+            "T5Text2Prompt|fofo",
+            "Text2GPTPrompt",
+            "Text2Prompt",
+            "TextBox|fofo",
+            "Translate2Chinese|fofo"
+        ],
+        {
+            "title_aux": "Comfyui_image2prompt"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/github-stats.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/github-stats.json
new file mode 100644
index 0000000000000000000000000000000000000000..95cf53c3dd1ac491b0eb0b790dcfb8d627790bb4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/github-stats.json
@@ -0,0 +1,1147 @@
+{
+    "https://github.com/123jimin/ComfyUI-MobileForm": {
+        "stars": 5,
+        "last_update": "2024-08-27 11:02:59",
+        "author_account_age_days": 4836
+    },
+    "https://github.com/17Retoucher/ComfyUI_Fooocus": {
+        "stars": 53,
+        "last_update": "2024-02-24 07:33:29",
+        "author_account_age_days": 241
+    },
+    "https://github.com/A719689614/ComfyUI_AC_FUNV8Beta1": {
+        "stars": 13,
+        "last_update": "2024-03-08 10:11:44",
+        "author_account_age_days": 385
+    },
+    "https://github.com/AI2lab/comfyUI-tool-2lab": {
+        "stars": 19,
+        "last_update": "2024-08-25 11:59:09",
+        "author_account_age_days": 262
+    },
+    "https://github.com/AIFSH/ComfyUI-OpenDIT": {
+        "stars": 0,
+        "last_update": "2024-06-30 09:33:55",
+        "author_account_age_days": 301
+    },
+    "https://github.com/AIFSH/ComfyUI-ViViD": {
+        "stars": 4,
+        "last_update": "2024-06-25 08:16:53",
+        "author_account_age_days": 301
+    },
+    "https://github.com/AIFSH/IMAGDressing-ComfyUI": {
+        "stars": 49,
+        "last_update": "2024-07-23 06:52:57",
+        "author_account_age_days": 301
+    },
+    "https://github.com/ALatentPlace/ComfyUI_yanc": {
+        "stars": 36,
+        "last_update": "2024-08-24 12:09:05",
+        "author_account_age_days": 1530
+    },
+    "https://github.com/APZmedia/comfyui-textools": {
+        "stars": 3,
+        "last_update": "2024-09-02 09:17:36",
+        "author_account_age_days": 2547
+    },
+    "https://github.com/AllenEdgarPoe/ComfyUI-Xorbis-nodes": {
+        "stars": 2,
+        "last_update": "2024-07-18 05:36:48",
+        "author_account_age_days": 2175
+    },
+    "https://github.com/AustinMroz/ComfyUI-WorkflowCheckpointing": {
+        "stars": 7,
+        "last_update": "2024-08-01 18:38:01",
+        "author_account_age_days": 4144
+    },
+    "https://github.com/BadCafeCode/execution-inversion-demo-comfyui": {
+        "stars": 37,
+        "last_update": "2024-09-02 00:03:30",
+        "author_account_age_days": 500
+    },
+    "https://github.com/Beinsezii/comfyui-amd-go-fast": {
+        "stars": 11,
+        "last_update": "2024-05-10 00:48:37",
+        "author_account_age_days": 2296
+    },
+    "https://github.com/BetaDoggo/ComfyUI-LogicGates": {
+        "stars": 3,
+        "last_update": "2024-07-21 06:31:25",
+        "author_account_age_days": 868
+    },
+    "https://github.com/BlueDangerX/ComfyUI-BDXNodes": {
+        "stars": 1,
+        "last_update": "2023-12-10 04:01:19",
+        "author_account_age_days": 317
+    },
+    "https://github.com/Brandelan/ComfyUI_bd_customNodes": {
+        "stars": 2,
+        "last_update": "2023-10-09 00:40:26",
+        "author_account_age_days": 4221
+    },
+    "https://github.com/ChrisColeTech/ComfyUI-Get-Random-File": {
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+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/model-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/model-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..8e3e1dc4858a08aa46190aa53ba320d565206cf4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/model-list.json
@@ -0,0 +1,3 @@
+{
+  "models": []
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/scan.sh b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/scan.sh
new file mode 100644
index 0000000000000000000000000000000000000000..f9589f3c57268b258caa19e8569cc6f1d1882eae
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/scan.sh
@@ -0,0 +1,3 @@
+#!/bin/bash
+rm ~/.tmp/dev/*.py > /dev/null 2>&1
+python ../../scanner.py ~/.tmp/dev
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/custom-node-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/custom-node-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..8088afe18fa4fefec3ee4077ed6e499d6c5fc40f
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/custom-node-list.json
@@ -0,0 +1,64 @@
+{
+    "custom_nodes": [
+        {
+            "author": "SeaArtLab",
+            "title": "zer0int/ComfyUI-Long-CLIP",
+            "reference": "https://github.com/zer0int/ComfyUI-Long-CLIP",
+            "files": [
+                "https://github.com/zer0int/ComfyUI-Long-CLIP"
+            ],
+            "install_type": "git-clone",
+            "description": "This forked repo supports FLUX.1 not only SD1.5, SDXL."
+        },
+        {
+            "author": "meimeilook",
+            "title": "ComfyUI_IPAdapter_plus.old [backward compatbility]",
+            "reference": "https://github.com/meimeilook/ComfyUI_IPAdapter_plus.old",
+            "files": [
+                "https://github.com/meimeilook/ComfyUI_IPAdapter_plus.old"
+            ],
+            "install_type": "git-clone",
+            "description": "This repo is created to provide backward compatibility for workflows configured with the old IPAdapter."
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "Dr.Lt.Data/ComfyUI-YoloWorld-EfficientSAM",
+            "reference": "https://github.com/ltdrdata/ComfyUI-YoloWorld-EfficientSAM",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-YoloWorld-EfficientSAM"
+            ],
+            "install_type": "git-clone",
+            "description": "This fork includes [a/PR32](https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM/pull/32)"
+        },
+        {
+            "author": "ertu110",
+            "title": "sdxl_prompt_style",
+            "reference": "https://github.com/ertu110/sdxl_prompt_style",
+            "files": [
+                "https://github.com/ertu110/sdxl_prompt_style"
+            ],
+            "install_type": "git-clone",
+            "description": "This project is a complete benchmark [a/https://github.com/twri/sdxl_prompt_styler](https://github.com/twri/sdxl_prompt_styler) A large amount of code inside comes from https://github.com/twri/sdxl_prompt_styler Project and [a/https://www.nodecafe.org/package/pythongosssss_ComfyUI-Custom-Scripts](https://www.nodecafe.org/package/pythongosssss_ComfyUI-Custom-Scripts) project\nThe functionality of this project is related to https://github.com/twri/sdxl_prompt_styler Highly overlapping, the only purpose of creating this project is because there are too many styles when selecting, resulting in a long and inconvenient dropdown box. Therefore, To address this issue, this project has added a secondary menu to the style."
+        },
+        {
+            "author": "gustproof",
+            "title": "ComfyUI_IPAdapter_plus_Style_Components",
+            "reference": "https://github.com/gustproof/ComfyUI_IPAdapter_plus_Style_Components",
+            "files": [
+                "https://github.com/gustproof/ComfyUI_IPAdapter_plus_Style_Components"
+            ],
+            "install_type": "git-clone",
+            "description": "Style Components is an IP-Adapter model conditioned on anime styles. The style embeddings can either be extracted from images or created manually. This repo currently only supports the SDXL model trained on AutismmixPony."
+        },
+        {
+            "author": "gameltb",
+            "title": "comfyui-stablsr",
+            "reference": "https://github.com/gameltb/Comfyui-StableSR",
+            "files": [
+                "https://github.com/gameltb/Comfyui-StableSR"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a development respository for debugging migration of StableSR to ComfyUI\n\nNOTE:Forked from [https://github.com/gameltb/Comfyui-StableSR]\nPut the StableSR [a/webui_786v_139.ckpt](https://huggingface.co/Iceclear/StableSR/resolve/main/webui_768v_139.ckpt) model into Comyfui/models/stablesr/, Put the StableSR [a/stablesr_768v_000139.ckpt](https://huggingface.co/Iceclear/StableSR/resolve/main/stablesr_768v_000139.ckpt) model into Comyfui/models/checkpoints/"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/extension-node-map.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/extension-node-map.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/extension-node-map.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/model-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/model-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..8e3e1dc4858a08aa46190aa53ba320d565206cf4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/model-list.json
@@ -0,0 +1,3 @@
+{
+  "models": []
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/scan.sh b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/scan.sh
new file mode 100644
index 0000000000000000000000000000000000000000..5d8d8c48b6e3f48dc1491738c1226f574909c05d
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/scan.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+source ../../../../venv/bin/activate
+rm .tmp/*.py > /dev/null
+python ../../scanner.py
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/alter-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/alter-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/alter-list.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/custom-node-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/custom-node-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..002ba06b36acae58083eec2dcd0e783e204c3908
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/custom-node-list.json
@@ -0,0 +1,733 @@
+{
+    "custom_nodes": [
+        {
+            "author": "#NOTICE_1.13",
+            "title": "NOTICE: This channel is not the default channel.",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Manager",
+            "files": [],
+            "install_type": "git-clone",
+            "description": "If you see this message, your ComfyUI-Manager is outdated.\nLegacy channel provides only the list of the deprecated nodes. If you want to find the complete node list, please go to the Default channel."
+        },
+        
+        
+
+        {
+            "author": "ader47",
+            "title": "ComfyUI-MeshHamer [REMOVED]",
+            "reference": "https://github.com/ader47/comfyui_meshhamer",
+            "files": [
+                "https://github.com/ader47/comfyui_meshhamer"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:MeshHamer Hand Refiner. See also: [a/HaMeR: Hand Mesh Recovery](https://github.com/geopavlakos/hamer/tree/main)"
+        },
+        {
+            "author": "SEkINVR",
+            "title": "ComfyUI-Animator",
+            "reference": "https://github.com/SEkINVR/ComfyUI-Animator [REMOVED]",
+            "files": [
+                "https://github.com/SEkINVR/ComfyUI-Animator"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node for ComfyUI provides full-body animation capabilities, including facial rigging, various lighting styles, and green screen output."
+        },
+        {
+            "author": "m-ai-studio",
+            "title": "mai-prompt-progress [REMOVED]",
+            "reference": "https://github.com/m-ai-studio/mai-prompt-progress",
+            "files": [
+                "https://github.com/m-ai-studio/mai-prompt-progress"
+            ],
+            "install_type": "git-clone",
+            "description": "mai-prompt-progress"
+        },
+        {
+            "author": "ZHO-ZHO-ZHO",
+            "title": "ComfyUI-AnyText [NOT MAINTAINED]",
+            "reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-AnyText",
+            "files": [
+                "https://github.com/ZHO-ZHO-ZHO/ComfyUI-AnyText"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial implementation of [a/AnyText](https://github.com/tyxsspa/AnyText/tree/825bcc54687206b15bd7e28ba1a8b095989d58e3) for ComfyUI（EXP）"
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-pkg39 [DEPRECATED]",
+            "reference": "https://github.com/shinich39/comfyui-pkg39",
+            "files": [
+                "https://github.com/shinich39/comfyui-pkg39"
+            ],
+            "install_type": "git-clone",
+            "description": "This package has created for generate image from generated image and embedded workflow."
+        },
+        {
+            "author": "dnl13",
+            "title": "ComfyUI-dnl13-seg [DEPRECATED]",
+            "reference": "https://github.com/dnl13/ComfyUI-dnl13-seg",
+            "files": [
+                "https://github.com/dnl13/ComfyUI-dnl13-seg"
+            ],
+            "install_type": "git-clone",
+            "description": "After discovering @storyicon implementation here of Segment Anything, I realized its potential as a powerful tool for ComfyUI if implemented correctly. I delved into the SAM and Dino models. The following is my own adaptation of sam_hq for ComfyUI."
+        },
+        {
+            "author": "1038lab",
+            "title": "ComfyUI-latentSizeSelector [REMOVED]",
+            "id": "ComfyUI-latentSizeSelector",
+            "reference": "https://github.com/1038lab/ComfyUI_LatentSizeSelector",
+            "files": [
+                "https://github.com/1038lab/ComfyUI_LatentSizeSelector"
+            ],
+            "install_type": "git-clone",
+            "description": "You'll get a new node Latent Size Selector, you can pick the x and y sizes from a list."
+        },
+        {
+            "author": "hy134300",
+            "title": "ComfyUI-PhotoMaker-V2 [REMOVED]",
+            "reference": "https://github.com/hy134300/ComfyUI-PhotoMaker-V2",
+            "files": [
+                "https://github.com/hy134300/ComfyUI-PhotoMaker-V2"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes for PhotoMaker-V2"
+        },
+        {
+            "author": "neverbiasu",
+            "title": "ComfyUI ImageCaptioner [REMOVED]",
+            "reference": "https://github.com/neverbiasu/ComfyUI-ImageCaptioner",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-ImageCaptioner"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI extension for generating captions for your images. Runs on your own system, no external services used, no filter."
+        },
+        {
+            "author": "mingqizhang",
+            "title": "ComfyUI_InSPyResNet_zmq [REMOVED]",
+            "id": "inspy",
+            "reference": "https://github.com/mingqizhang/ComfyUI_InSPyResNet_zmq",
+            "files": [
+                "https://github.com/mingqizhang/ComfyUI_InSPyResNet_zmq"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:INSPY removebg ModelLoader, INSPY RMBG"
+        },
+        {
+            "author": "mingqizhang",
+            "title": "ComfyUI_AEMatter_zmq [REMOVED]",
+            "id": "aematter",
+            "reference": "https://github.com/mingqizhang/ComfyUI_AEMatter_zmq",
+            "files": [
+                "https://github.com/mingqizhang/ComfyUI_AEMatter_zmq"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:AEMatter_ModelLoader, Create_Trimap, AEMatter_Apply, Mask_Transfor, Replace_Background, Gaussian_Filter, Guide_Filter, Improved_Aplha_Composite"
+        },
+        {
+            "author": "bradsec",
+            "title": "ComfyUI_StringTools [REMOVED]",
+            "id": "stringtools",
+            "reference": "https://github.com/bradsec/ComfyUI_StringTools",
+            "files": [
+                "https://github.com/bradsec/ComfyUI_StringTools"
+            ],
+            "install_type": "git-clone",
+            "description": "Some simple string tools to modify text and strings in ComfyUI."
+        },
+        {
+            "author": "zmwv823",
+            "title": "ComfyUI-AnyText [DEPRECATED]",
+            "id": "anytext",
+            "reference": "https://github.com/zmwv823/ComfyUI-AnyText",
+            "files": [
+                "https://github.com/zmwv823/ComfyUI-AnyText"
+            ],
+            "install_type": "git-clone",
+            "description": "Unofficial Simple And Rough Implementation Of [a/AnyText](https://github.com/tyxsspa/AnyText)"
+        },
+        {
+            "author": "Millyarde",
+            "title": "Pomfy - Photoshop and ComfyUI 2-way sync [REMOVED]",
+            "reference": "https://github.com/Millyarde/Pomfy",
+            "files": [
+                "https://github.com/Millyarde/Pomfy"
+            ],
+            "install_type": "git-clone",
+            "description": "Photoshop custom nodes inside of ComfyUi, send and get data via Photoshop UXP plugin for cross platform support"
+        },
+        {
+            "author": "turkyden",
+            "title": "ComfyUI-Sticker [REMOVED]",
+            "reference": "https://github.com/turkyden/ComfyUI-Sticker",
+            "files": [
+                "https://github.com/turkyden/ComfyUI-Sticker"
+            ],
+            "install_type": "git-clone",
+            "description": "image to sticker"
+        },
+        {
+            "author": "turkyden",
+            "title": "ComfyUI-Comic [REMOVED]",
+            "id": "comic",
+            "reference": "https://github.com/turkyden/ComfyUI-Comic",
+            "files": [
+                "https://github.com/turkyden/ComfyUI-Comic"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui plugin for image to comic"
+        },
+        {
+            "author": "turkyden",
+            "title": "ComfyUI-Avatar [REMOVED]",
+            "id": "avatar",
+            "reference": "https://github.com/turkyden/ComfyUI-Avatar",
+            "files": [
+                "https://github.com/turkyden/ComfyUI-Avatar"
+            ],
+            "install_type": "git-clone",
+            "description": "a comfyui plugin for image to avatar"
+        },
+        {
+            "author": "bvhari",
+            "title": "LatentToRGB [DEPRECATED]",
+            "id": "latent2rgb",
+            "reference": "https://github.com/bvhari/ComfyUI_LatentToRGB",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_LatentToRGB"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI custom node to convert latent to RGB.\nNOTE:This repo has been archived because ComfyUI natively has similar functionality now"
+        },
+        {
+            "author": "Kaharos94",
+            "title": "ComfyUI-Saveaswebp [DEPRECATED]",
+            "id": "save-webp",
+            "reference": "https://github.com/Kaharos94/ComfyUI-Saveaswebp",
+            "files": [
+                "https://github.com/Kaharos94/ComfyUI-Saveaswebp"
+            ],
+            "install_type": "git-clone",
+            "description": "Save a picture as Webp file in Comfy + Workflow loading"
+        },
+        {
+            "author": "udi0510",
+            "title": "comfyui-slicer [REMOVED]",
+            "id": "slicer",
+            "reference": "https://github.com/udi0510/comfyui-slicer",
+            "files": [
+                "https://github.com/udi0510/comfyui-slicer"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SlicerNode"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-FLATTEN [REMOVED]",
+            "id": "flatten",
+            "reference": "https://github.com/logtd/ComfyUI-FlattenFlow",
+            "files": [
+                "https://github.com/logtd/ComfyUI-FlattenFlow"
+            ],
+            "install_type": "git-clone",
+            "description": "An alternate trajectory processor for ComfyUI-FLATTEN\nNOTE:When using this trajectory type FLATTEN will use roughly 1/4 VRAM and be ~20% faster at the cost of some consistency (especially when injection_steps are low)."
+        },
+        {
+            "author": "MackinationsAi",
+            "title": "ComfyUi_Stuctured-Outputs [REMOVED]",
+            "id": "struct-output",
+            "reference": "https://github.com/MackinationsAi/ComfyUi_Stuctured-Outputs",
+            "files": [
+                "https://github.com/MackinationsAi/ComfyUi_Stuctured-Outputs"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository contains a custom node for ComfyUI that allows users to save generative image outputs with custom filenames and folder structures. The filenames are padded to four digits, and the positive and negative prompts are embedded in the image metadata."
+        },
+        {
+            "author": "laksjdjf",
+            "title": "attention-couple-ComfyUI [DEPRECATED]",
+            "id": "attention-couple",
+            "reference": "https://github.com/laksjdjf/attention-couple-ComfyUI",
+            "files": [
+                "https://github.com/laksjdjf/attention-couple-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Attention couple. This is a custom node that manipulates region-specific prompts. While vanilla ComfyUI employs an area specification method based on latent couples, this node divides regions using attention layers within UNet.\nNOTE: This has been integrated with cgem156-ComfyUI."
+        },
+        {
+            "author": "phineas-pta",
+            "title": "comfy-trt-test [DEPRECATED]",
+            "reference": "https://github.com/phineas-pta/comfy-trt-test",
+            "files": [
+                "https://github.com/phineas-pta/comfy-trt-test"
+            ],
+            "install_type": "git-clone",
+            "description": "Test project for ComfyUI TensorRT Support.\nNOT WORKING YET.\nnot automatic yet, do not use ComfyUI-Manager to install !!!.\nnot beginner-friendly yet, still intended to technical users\nNOTE: The reason for registration in the Manager is for guidance, and for detailed installation instructions, please visit the repository.\nNOTE: Use 'TensorRT Node for ComfyUI' instead of this."
+        },
+        {
+            "author": "dezi-ai",
+            "title": "ComfyUI Animate LCM [NOT MAINTAINED]",
+            "reference": "https://github.com/dezi-ai/ComfyUI-AnimateLCM",
+            "files": [
+                "https://github.com/dezi-ai/ComfyUI-AnimateLCM"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI implementation for [a/AnimateLCM](https://animatelcm.github.io/) [[a/paper](https://arxiv.org/abs/2402.00769)].\b[w/This extension includes a large number of nodes imported from the existing custom nodes, increasing the likelihood of conflicts.]"
+        },
+        {
+            "author": "christian-byrne",
+            "title": "elimination-nodes [REMOVED]",
+            "reference": "https://github.com/christian-byrne/elimination-nodes",
+            "files": [
+                "https://github.com/christian-byrne/elimination-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Paste Cutout on Base Image"
+        },
+        {
+            "author": "Levy1417",
+            "title": "Universal-Data-Processing-Kit [UNSAFE] [REMOVED]",
+            "reference": "https://github.com/Levy1417/Universal-Data-Processing-Kit",
+            "files": [
+                "https://github.com/Levy1417/Universal-Data-Processing-Kit"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:DPK - Any Eval, DPK - Extract Array, DPK - Run External Program, DPK - Any Literals, DPK - Set Node States, DPK - Realtime Text Preview, DPK - Dynamic Action, DPK - Object To Json, DPK - Json To Object\n[w/This extension includes the ability to execute arbitrary code and programs.]"
+        },
+        {
+            "author": "liusida",
+            "title": "ComfyUI-Sida-Remove-Image [UNSAFE] [REMOVED]",
+            "reference": "https://github.com/liusida/ComfyUI-Sida-Remove-Image",
+            "files": [
+                "https://github.com/liusida/ComfyUI-Sida-Remove-Image"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: LoadImageWithPrivacy, RemoveImage.[w/This extension is not secure because it provides the capability to delete files from arbitrary paths.]"
+        },
+        {
+            "author": "88IO",
+            "title": "ComfyUI Image Reordering Plugins [REMOVED]",
+            "reference": "https://github.com/88IO/ComfyUI-ImageReorder",
+            "files": [
+                "https://github.com/88IO/ComfyUI-ImageReorder"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node reorder multiple image frames based on indexes or curves."
+        },
+        {
+            "author": "jtydhr88",
+            "title": "ComfyUI-InstantMesh [DEPRECATED]",
+            "id": "instant-mesh",
+            "reference": "https://github.com/jtydhr88/ComfyUI-InstantMesh",
+            "files": [
+                "https://github.com/jtydhr88/ComfyUI-InstantMesh"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI InstantMesh is custom nodes that running TencentARC/InstantMesh into ComfyUI, this extension depends on ComfyUI-3D-Pack. Please refer to Readme carefully to install.\nNOTE: This repo is archived due to ComfyUI-3D-Pack supports InstantMesh, please check 3D-Pack directly if you need it"
+        },
+        {
+            "author": "biegert",
+            "title": "CLIPSeg [NOT MAINTAINED]",
+            "id": "clipseg",
+            "reference": "https://github.com/biegert/ComfyUI-CLIPSeg",
+            "files": [
+                "https://github.com/biegert/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py"
+            ],
+            "install_type": "copy",
+            "description": "The CLIPSeg node generates a binary mask for a given input image and text prompt."
+        },
+        {
+            "author": "tankucc1no",
+            "title": "ComfyUI-Dragdiffusion [REMOVED]",
+            "id": "dragdiffusion",
+            "reference": "https://github.com/tankucc1no/ComfyUI-Dragdiffusion",
+            "files": [
+                "https://github.com/tankucc1no/ComfyUI-Dragdiffusion"
+            ],
+            "install_type": "git-clone",
+            "description": "Implementation of [a/Dragdiffusion](https://github.com/Yujun-Shi/DragDiffusion) in ComfyUI."
+        },
+        {
+            "author": "wibur0620",
+            "title": "ComfyUI Ollama (wibur) [REMOVED]",
+            "id": "ollama-wibur",
+            "reference": "https://github.com/wibur0620/comfyui-ollama-wibur",
+            "files": [
+                "https://github.com/wibur0620/comfyui-ollama-wibur"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom ComfyUI Nodes for interacting with [a/Ollama](https://ollama.com/) using the ollama python client.\nIntegrate the power of LLMs into ComfyUI workflows easily or just experiment with GPT.\nNOTE: To use this properly, you would need a running Ollama server reachable from the host that is running ComfyUI."
+        },
+        {
+            "author": "IKHOR",
+            "title": "ikhor-nodes [REMOVED]",
+            "reference": "https://github.com/IKHOR/ComfyUI-IKHOR-Jam-Nodes",
+            "files": [
+                "https://github.com/IKHOR/ComfyUI-IKHOR-Jam-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:LoadFromS3, LoadBatchFromS3, SaveToS3, SaveBatchToS3"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI wrapper nodes for IC-light [DEPRECATED]",
+            "reference": "https://github.com/kijai/ComfyUI-IC-Light-Wrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-IC-Light-Wrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "Stopped. Original repo: [a/https://github.com/lllyasviel/IC-Light](https://github.com/lllyasviel/IC-Light)"
+        },
+        {
+            "author": "thedyze",
+            "title": "Save Image Extended for ComfyUI",
+            "reference": "https://github.com/thedyze/save-image-extended-comfyui",
+            "files": [
+                "https://github.com/thedyze/save-image-extended-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Customize the information saved in file- and folder names. Use the values of sampler parameters as part of file or folder names. Save your positive & negative prompt as entries in a JSON (text) file, in each folder.\n[w/This custom node has not been maintained for a long time. Please use an alternative node from the default channel.]"
+        },
+        {
+            "author": "ExponentialML",
+            "title": "ComfyUI_ELLA [DEPRECATED]",
+            "reference": "https://github.com/ExponentialML/ComfyUI_ELLA",
+            "files": [
+                "https://github.com/ExponentialML/ComfyUI_ELLA"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Implementaion of ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.[w/Officially implemented here: [a/https://github.com/TencentQQGYLab/ComfyUI-ELLA](https://github.com/TencentQQGYLab/ComfyUI-ELLA)]"
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-text-pipe-39 [DEPRECATED]",
+            "reference": "https://github.com/shinich39/comfyui-text-pipe-39",
+            "files": [
+                "https://github.com/shinich39/comfyui-text-pipe-39"
+            ],
+            "install_type": "git-clone",
+            "description": "Modify text by condition."
+        },
+        {
+            "author": "Big Idea Technology",
+            "title": "Image Text Overlay Node for ComfyUI [DEPRECATED]",
+            "reference": "https://github.com/Big-Idea-Technology/ComfyUI_Image_Text_Overlay",
+            "files": [
+                "https://github.com/Big-Idea-Technology/ComfyUI_Image_Text_Overlay"
+            ],
+            "install_type": "git-clone",
+            "description": "Please note that the ImageTextOverlay project is no longer supported and has been moved to a new repository. For ongoing developments, contributions, and issues, please refer to the new repository at: [a/https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools](https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools)"
+        },
+        {
+            "author": "mlinmg",
+            "title": "LaMa Preprocessor [DEPRECATED]",
+            "reference": "https://github.com/mlinmg/ComfyUI-LaMA-Preprocessor",
+            "files": [
+                "https://github.com/mlinmg/ComfyUI-LaMA-Preprocessor"
+            ],
+            "install_type": "git-clone",
+            "description": "A LaMa prerocessor for ComfyUI. This preprocessor finally enable users to generate coherent inpaint and outpaint prompt-free. The best results are given on landscapes, not so much in drawings/animation."
+        },
+        {
+            "author": "CapsAdmin",
+            "title": "ComfyUI-Euler-Smea-Dyn-Sampler [DEPRECATED]",
+            "reference": "https://github.com/CapsAdmin/ComfyUI-Euler-Smea-Dyn-Sampler",
+            "files": [
+                "https://github.com/CapsAdmin/ComfyUI-Euler-Smea-Dyn-Sampler"
+            ],
+            "install_type": "git-clone",
+            "description": "Just a comfyui version of [a/Euler Smea Dyn Sampler](https://github.com/Koishi-Star/Euler-Smea-Dyn-Sampler). It adds the sampler directly to existing samplers."
+        },
+        {
+            "author": "BlakeOne",
+            "title": "ComfyUI FastImageListToImageBatch [REMOVED]",
+            "reference": "https://github.com/BlakeOne/ComfyUI-FastImageListToImageBatch",
+            "files": [
+                "https://github.com/BlakeOne/ComfyUI-FastImageListToImageBatch"
+            ],
+            "install_type": "git-clone",
+            "description": "Quickly convert a list of images to a batch of images. All images must be the same size. Great for long videos."
+        },
+        {
+            "author": "ggpid",
+            "title": "idpark_custom_node [REMOVED]",
+            "reference": "https://github.com/ggpid/idpark_custom_node",
+            "files": [
+                "https://github.com/ggpid/idpark_custom_node"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Load Image from S3, Save Image to S3, Generate SAM, Generate FastSAM, Cut by Mask fixed"
+        },
+        {
+            "author": "Davemane42",
+            "title": "Visual Area Conditioning / Latent composition [DEPRECATED]",
+            "reference": "https://github.com/Davemane42/ComfyUI_Dave_CustomNode",
+            "files": [
+                "https://github.com/Davemane42/ComfyUI_Dave_CustomNode"
+            ],
+            "install_type": "git-clone",
+            "description": "This tool provides custom nodes that allow visualization and configuration of area conditioning and latent composite."
+        },
+        {
+            "author": "laksjdjf",
+            "title": "LoRA-Merger-ComfyUI [DEPRECATED]",
+            "reference": "https://github.com/laksjdjf/LoRA-Merger-ComfyUI",
+            "files": [
+                "https://github.com/laksjdjf/LoRA-Merger-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Load LoRA Weight Only, Load LoRA from Weight, Merge LoRA, Save LoRA. This extension provides nodes for merging LoRA."
+        },
+        {
+            "author": "kinfolk0117",
+            "title": "TiledIPAdapter [DEPRECATED]",
+            "reference": "https://github.com/kinfolk0117/ComfyUI_TiledIPAdapter",
+            "files": [
+                "https://github.com/kinfolk0117/ComfyUI_TiledIPAdapter"
+            ],
+            "install_type": "git-clone",
+            "description": "Proof of concent on how to use IPAdapter to control tiled upscaling. NOTE: You need to have 'ComfyUI_IPAdapter_plus' installed."
+        },
+        {
+            "author": "XINZHANG-ops",
+            "title": "comfyui-xin-nodes [REMOVED]",
+            "reference": "https://github.com/XINZHANG-ops/comfyui-xin-nodes",
+            "files": [
+                "https://github.com/XINZHANG-ops/comfyui-xin-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ImageSizeClassifer, RandomInt, ShowValue"
+        },
+        {
+            "author": "ssitu",
+            "title": "NestedNodeBuilder [DEPRECATED]",
+            "reference": "https://github.com/ssitu/ComfyUI_NestedNodeBuilder",
+            "files": [
+                "https://github.com/ssitu/ComfyUI_NestedNodeBuilder"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides the ability to combine multiple nodes into a single node.\nNOTE:An identical feature now exists in ComfyUI. Additionally, this extension is largely broken with the recent versions of the codebase, so please use the built-in feature for group nodes."
+        },
+        {
+            "author": "ccvv804",
+            "title": "ComfyUI StableCascade using diffusers for Low VRAM [DEPRECATED]",
+            "reference": "https://github.com/ccvv804/ComfyUI-DiffusersStableCascade-LowVRAM",
+            "files": [
+                "https://github.com/ccvv804/ComfyUI-DiffusersStableCascade-LowVRAM"
+            ],
+            "install_type": "git-clone",
+            "description": "Works with RTX 4070ti 12GB.\nSimple quick wrapper for [a/https://huggingface.co/stabilityai/stable-cascade](https://huggingface.co/stabilityai/stable-cascade)\nComfy is going to implement this properly soon, this repo is just for quick testing for the impatient!"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI StableCascade using diffusers [DEPRECATED]",
+            "reference": "https://github.com/kijai/ComfyUI-DiffusersStableCascade",
+            "files": [
+                "https://github.com/kijai/ComfyUI-DiffusersStableCascade"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple quick wrapper for [a/https://huggingface.co/stabilityai/stable-cascade](https://huggingface.co/stabilityai/stable-cascade)\nComfy is going to implement this properly soon, this repo is just for quick testing for the impatient!"
+        },
+        {
+            "author": "solarpush",
+            "title": "comfyui_sendimage_node [REMOVED]",
+            "reference": "https://github.com/solarpush/comfyui_sendimage_node",
+            "files": [
+                "https://github.com/solarpush/comfyui_sendimage_node"
+            ],
+            "install_type": "git-clone",
+            "description": "Send images to the pod."
+        },
+        {
+            "author": "azazeal04",
+            "title": "ComfyUI-Styles",
+            "reference": "https://github.com/azazeal04/ComfyUI-Styles",
+            "files": [
+                "https://github.com/azazeal04/ComfyUI-Styles"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Anime_Styler, Fantasy_Styler, Gothic_Styler, Line_Art_Styler, Movie_Poster_Styler, Punk_Styler, Travel_Poster_Styler. This extension offers 8 art style nodes, each of which includes approximately 50 individual style variations.\n\nNOTE: Due to the dynamic nature of node name definitions, ComfyUI-Manager cannot recognize the node list from this extension. The Missing nodes and Badge features are not available for this extension.\nNOTE: This extension is removed. Users who were previously using this node should install ComfyUI-styles-all instead."
+        },
+        {
+            "author": "hnmr293",
+            "title": "ComfyUI-nodes-hnmr",
+            "reference": "https://github.com/hnmr293/ComfyUI-nodes-hnmr",
+            "files": [
+                "https://github.com/hnmr293/ComfyUI-nodes-hnmr"
+            ],
+            "install_type": "git-clone",
+            "description": "Provide various custom nodes for Latent, Sampling, Model, Loader, Image, Text"
+        },
+        {
+            "author": "bvhari",
+            "title": "ComfyUI_PerpNeg [WIP]",
+            "reference": "https://github.com/bvhari/ComfyUI_PerpNeg",
+            "files": [
+                "https://github.com/bvhari/ComfyUI_PerpNeg"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: KSampler (Advanced + Perp-Neg). Implementation of [a/Perp-Neg](https://perp-neg.github.io/)\nIncludes Tonemap and CFG Rescale optionsComfyUI custom node to convert latent to RGB.[w/WARNING: Experimental code, might have incompatibilities and edge cases.]\nNOTE: In the latest version of ComfyUI, this extension is included as built-in."
+        },
+        {
+            "author": "laksjdjf",
+            "title": "IPAdapter-ComfyUI",
+            "reference": "https://github.com/laksjdjf/IPAdapter-ComfyUI",
+            "files": [
+                "https://github.com/laksjdjf/IPAdapter-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom nodes provides loader of the IP-Adapter model.[w/NOTE: To use this extension node, you need to download the [a/ip-adapter_sd15.bin](https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.bin) file and place it in the %%**custom_nodes/IPAdapter-ComfyUI/models**%% directory. Additionally, you need to download the 'Clip vision model' from the 'Install models' menu as well.]\nNOTE: Use ComfyUI_IPAdapter_plus instead of this."
+        },
+        {
+            "author": "RockOfFire",
+            "title": "CR Animation Nodes",
+            "reference": "https://github.com/RockOfFire/CR_Animation_Nodes",
+            "files": [
+                "https://github.com/RockOfFire/CR_Animation_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A comprehensive suite of nodes to enhance your animations. These nodes include some features similar to Deforum, and also some new ideas.<BR>NOTE: This node is merged into Comfyroll Custom Nodes."
+        },
+        {
+            "author": "tkoenig89",
+            "title": "Load Image with metadata",
+            "reference": "https://github.com/tkoenig89/ComfyUI_Load_Image_With_Metadata",
+            "files": [
+                "https://github.com/tkoenig89/ComfyUI_Load_Image_With_Metadata"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for comfy ui to read generation data from images (prompt, seed, size...). This could be used when upscaling generated images to use the original prompt and seed."
+        },
+        {
+            "author": "LucianoCirino",
+            "title": "Efficiency Nodes for ComfyUI [LEGACY]",
+            "reference": "https://github.com/LucianoCirino/efficiency-nodes-comfyui",
+            "files": [
+                "https://github.com/LucianoCirino/efficiency-nodes-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of ComfyUI custom nodes to help streamline workflows and reduce total node count.<BR>NOTE: This repository is the original repository but is no longer maintained. Please use the forked version by jags."
+        },
+        {
+            "author": "GeLi1989",
+            "title": "roop nodes for ComfyUI",
+            "reference": "https://github.com/GeLi1989/GK-beifen-ComfyUI_roop",
+            "files": [
+                "https://github.com/GeLi1989/GK-beifen-ComfyUI_roop"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes for the roop A1111 webui script. NOTE: Need to download <a href='https://github.com/SumDeusVitae/FaceSwap_v01/raw/main/inswapper_128.onnx' target='blank'/>model</a> to use this node. NOTE: This is removed."
+        },
+        {
+            "author": "ProDALOR",
+            "title": "comfyui_u2net",
+            "reference": "https://github.com/ProDALOR/comfyui_u2net",
+            "files": [
+                "https://github.com/ProDALOR/comfyui_u2net"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Load U2Net model, U2Net segmentation, To mask, Segmentation to mask, U2NetBaseNormalization, U2NetMaxNormalization. NOTE: This is removed."
+        },
+        {
+            "author": "FizzleDorf",
+            "title": "AIT",
+            "reference": "https://github.com/FizzleDorf/AIT",
+            "files": [
+                "https://github.com/FizzleDorf/AIT"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: Load AITemplate, Load AITemplate (ControlNet), VAE Decode (AITemplate), VAE Encode (AITemplate), VAE Encode (AITemplate, Inpaint). Experimental usage of AITemplate. NOTE: This is deprecated extension. Use <b>ComfyUI-AIT</b> instead of this."
+        },
+        {
+            "author": "chenbaiyujason",
+            "title": "sc-node-comfyui",
+            "reference": "https://github.com/chenbaiyujason/sc-node-comfyui",
+            "files": [
+                "https://github.com/chenbaiyujason/sc-node-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes for GPT interaction and text manipulation"
+        },
+        {
+            "author": "asd417",
+            "title": "CheckpointTomeLoader",
+            "reference": "https://github.com/asd417/tomeSD_for_Comfy",
+            "files": [
+                "https://github.com/ltdrdata/ComfyUI-tomeSD-installer"
+            ],
+            "install_type": "git-clone",
+            "description": "tomeSD(https://github.com/dbolya/tomesd) applied to ComfyUI stable diffusion UI using custom node. <B>Note:In vanilla ComfyUI, the TomePatchModel node is provided as a built-in feature.</B>"
+        },
+        {
+            "author": "gamert",
+            "title": "ComfyUI_tagger",
+            "reference": "https://github.com/gamert/ComfyUI_tagger",
+            "pip": ["gradio"],
+            "files": [
+                "https://github.com/gamert/ComfyUI_tagger"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: CLIPTextEncodeTaggerDD, ImageTaggerDD. <p style='background-color: black; color: red;'>WARNING: Installing the current version is causing an issue where ComfyUI fails to start.</p>"
+        },
+        {
+            "author": "Fannovel16",
+            "title": "ControlNet Preprocessors",
+            "reference": "https://github.com/Fannovel16/comfy_controlnet_preprocessors",
+            "files": [
+                "https://github.com/Fannovel16/comfy_controlnet_preprocessors"
+            ],
+            "install_type": "git-clone",
+            "description": "ControlNet Preprocessors. (To use this extension, you need to download the required model file from <B>Install Models</B>)<BR> <p style='background-color: black; color: red;'>NOTE: Please uninstall this custom node and instead install 'ComfyUI's ControlNet Auxiliary Preprocessors' from the default channel.<BR>To use nodes belonging to <B>controlnet v1</b> such as <B>Canny_Edge_Preprocessor, MIDAS_Depth_Map_Preprocessor, Uniformer_SemSegPreprocessor, etc.</B>, you need to copy the <font color='white'>config.yaml.example</font> file to <font color='white'>config.yaml</font> and change <font color='white'>skip_v1: True</font> to <font color='white'>skip_v1: False</font>.</p>"
+        },
+        {
+            "author": "comfyanonymous",
+            "title": "ComfyUI_experiments/sampler_tonemap",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_experiments/raw/master/sampler_tonemap.py"
+            ],
+            "install_type": "copy",
+            "description": "ModelSamplerTonemapNoiseTest a node that makes the sampler use a simple tonemapping algorithm to tonemap the noise. It will let you use higher CFG without breaking the image. To using higher CFG lower the multiplier value. Similar to Dynamic Thresholding extension of A1111. "
+        },
+        {
+            "author": "comfyanonymous",
+            "title": "ComfyUI_experiments/sampler_rescalecfg",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_experiments/raw/master/sampler_rescalecfg.py"
+            ],
+            "install_type": "copy",
+            "description": "RescaleClassifierFreeGuidance improves the problem of images being degraded by high CFG.To using higher CFG lower the multiplier value. Similar to Dynamic Thresholding extension of A1111. (<a href='https://arxiv.org/abs/2305.08891'/>reference paper</a>)<p style='background-color: black; color: red;'>It is recommended to use the integrated custom nodes in the default channel for update support rather than installing individual nodes.</p>"
+        },
+        {
+            "author": "comfyanonymous",
+            "title": "ComfyUI_experiments/advanced_model_merging",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_experiments/raw/master/advanced_model_merging.py"
+            ],
+            "install_type": "copy",
+            "description": "This provides a detailed model merge feature based on block weight. ModelMergeBlock, in vanilla ComfyUI, allows for adjusting the ratios of input/middle/output layers, but this node provides ratio adjustments for all blocks within each layer.<p style='background-color: black; color: red;'>It is recommended to use the integrated custom nodes in the default channel for update support rather than installing individual nodes.</p>"
+        },
+        {
+            "author": "comfyanonymous",
+            "title": "ComfyUI_experiments/sdxl_model_merging",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_experiments/raw/master/sdxl_model_merging.py"
+            ],
+            "install_type": "copy",
+            "description": "These nodes provide the capability to merge SDXL base models.<p style='background-color: black; color: red;'>It is recommended to use the integrated custom nodes in the default channel for update support rather than installing individual nodes.</p>"
+        },
+        {
+            "author": "comfyanonymous",
+            "title": "ComfyUI_experiments/reference_only",
+            "reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
+            "files": [
+                "https://github.com/comfyanonymous/ComfyUI_experiments/raw/master/reference_only.py"
+            ],
+            "install_type": "copy",
+            "description": "This node provides functionality corresponding to Reference only in Controlnet.<p style='background-color: black; color: red;'>It is recommended to use the integrated custom nodes in the default channel for update support rather than installing individual nodes.</p>"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/extension-node-map.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/extension-node-map.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/extension-node-map.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/model-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/model-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..8e3e1dc4858a08aa46190aa53ba320d565206cf4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/model-list.json
@@ -0,0 +1,3 @@
+{
+  "models": []
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/alter-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/alter-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..072c3bb5e8bd05b6f14f6df25386dc1e1010a137
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/alter-list.json
@@ -0,0 +1,4 @@
+{
+   "items": [
+   ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/custom-node-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/custom-node-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..0c2a8097ea059c04de7490bf1313dbcc396c8044
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/custom-node-list.json
@@ -0,0 +1,707 @@
+{
+    "custom_nodes": [
+        {
+            "author": "#NOTICE_1.13",
+            "title": "NOTICE: This channel is not the default channel.",
+            "reference": "https://github.com/ltdrdata/ComfyUI-Manager","files": [],
+            "install_type": "git-clone",
+            "description": "If you see this message, your ComfyUI-Manager is outdated.\nRecent channel provides only the list of the latest nodes. If you want to find the complete node list, please go to the Default channel.\nMaking LoRA has never been easier!"
+        },
+
+        
+        
+        
+        {
+            "author": "PabloGFX",
+            "title": "Head Orientation Node",
+            "id": "head-orientation-node",
+            "reference": "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX",
+            "files": [
+                "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX"
+            ],
+            "install_type": "git-clone",
+            "description": "A custom node for ComfyUI that analyzes and sorts images based on head orientation using MediaPipe. It detects facial landmarks, calculates head pose, and intelligently sorts images for enhanced AI image processing workflows."
+        },
+        {
+            "author": "45uee",
+            "title": "ComfyUI-Color_Transfer",
+            "reference": "https://github.com/45uee/ComfyUI-Color_Transfer",
+            "files": [
+                "https://github.com/45uee/ComfyUI-Color_Transfer"
+            ],
+            "install_type": "git-clone",
+            "description": "Implementation of color transfer using KMeans algorithm"
+        },
+        {
+            "author": "lazniak",
+            "title": "Head Orientation Node for ComfyUI",
+            "reference": "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX",
+            "files": [
+                "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX"
+            ],
+            "install_type": "git-clone",
+            "description": "The Head Orientation Node is a custom node for ComfyUI that analyzes and sorts images based on head orientation. It uses the MediaPipe library to detect facial landmarks and calculate head pose, allowing for intelligent image sorting and matching.\nDeveloped by PabloGFX, this node enhances ComfyUI's capabilities in facial analysis and image processing tasks."
+        },
+        {
+            "author": "AIFSH",
+            "title": "VideoSys-ComfyUI",
+            "reference": "https://github.com/AIFSH/VideoSys-ComfyUI",
+            "files": [
+                "https://github.com/AIFSH/VideoSys-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:TextNode, PreViewVideo, VideoSysNode."
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-MotionThiefExperiment",
+            "reference": "https://github.com/logtd/ComfyUI-MotionThiefExperiment",
+            "files": [
+                "https://github.com/logtd/ComfyUI-MotionThiefExperiment"
+            ],
+            "install_type": "git-clone",
+            "description": "experimental node pack to test using reference videos for their motion."
+        },
+        {
+            "author": "Hmily",
+            "title": "ComfyUI-Light-Tool",
+            "id": "hmily",
+            "reference": "https://github.com/ihmily/ComfyUI-Light-Tool",
+            "files": [
+                "https://github.com/ihmily/ComfyUI-Light-Tool"
+            ],
+            "install_type": "git-clone",
+            "description": "An awesome light image processing tool nodes for ComfyUI."
+        },
+        {
+            "author": "IuvenisSapiens",
+            "title": "ComfyUI_Qwen2-VL-Instruct",
+            "id": "qwen2-vl-instruct",
+            "reference": "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct",
+            "files": [
+                "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an implementation of [a/Qwen2-VL-Instruct](https://github.com/QwenLM/Qwen2-VL) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), which includes, but is not limited to, support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses."
+        },
+        {
+            "author": "k-komarov",
+            "title": "comfyui-bunny-cdn-storage",
+            "reference": "https://github.com/k-komarov/comfyui-bunny-cdn-storage",
+            "files": [
+                "https://github.com/k-komarov/comfyui-bunny-cdn-storage"
+            ],
+            "install_type": "git-clone",
+            "description": " Save Your Image to BunnyStorage"
+        },
+        {
+            "author": "xlinx",
+            "title": "ComfyUI-decadetw-spout-syphon-im-vj",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj"
+            ],
+            "install_type": "git-clone",
+            "description": "I'm SD-VJ. (share SD-generating-process in realtime by gpu)"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-ReNoise",
+            "reference": "https://github.com/logtd/ComfyUI-ReNoise",
+            "files": [
+                "https://github.com/logtd/ComfyUI-ReNoise"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use ReNoise"
+        },
+        {
+            "author": "MinusZoneAI",
+            "title": "ComfyUI-CogVideoX-MZ",
+            "reference": "https://github.com/MinusZoneAI/ComfyUI-CogVideoX-MZ",
+            "files": [
+                "https://github.com/MinusZoneAI/ComfyUI-CogVideoX-MZ"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:MZ_CogVideoXLoader"
+        },
+        {
+            "author": "pzc163",
+            "title": "Comfyui_MiniCPMv2_6-prompt-generator",
+            "id": "Comfyui_MiniCPMv2_6-prompt-generator",
+            "reference": "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator",
+            "files": [
+                "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator"
+            ],
+            "install_type": "git-clone",
+            "description": "This is an implementation of [MiniCPMv2_6-prompt-generator](https://huggingface.co/pzc163/MiniCPMv2_6-prompt-generator) by [ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for single-image caption, generate prompt by upload image and batch-images Prompt generation."
+        },
+        {
+            "author": "Bao Pham",
+            "title": "ComfyUI-LyraVSIH",
+            "id": "lyra-vsih",
+            "reference": "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH",
+            "files": [
+                "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension provides a set of nodes that can be used to mask multiple object at once"
+        },
+        {
+            "author": "leeguandong",
+            "title": "ComfyUI nodes to use MasaCtrl",
+            "reference": "https://github.com/leeguandong/ComfyUI_MasaCtrl",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_MasaCtrl"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use MasaCtrl"
+        },
+        {
+            "author": "AbyssBadger0",
+            "title": "Kolors Awesome Prompts",
+            "reference": "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts",
+            "files": [
+                "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:KolorsAwesomePrompts"
+        },
+        {
+            "author": "florestefano1975",
+            "title": "Advanced Sequence Seed Generator",
+            "id": "adv-seq-seed-gen",
+            "reference": "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed",
+            "files": [
+                "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed"
+            ],
+            "install_type": "git-clone",
+            "description": "A simple seed generator based on special number sequences: Fibonacci, Prime, Padovan, Triangular, Catalan, Pell, Lucas"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-4DHumans",
+            "id": "comfyui-4dhumans",
+            "reference": "https://github.com/logtd/ComfyUI-4DHumans",
+            "files": [
+                "https://github.com/logtd/ComfyUI-4DHumans"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use [a/4D-Humans](ComfyUI nodes to use 4D-Humans)"
+        },
+        {
+            "author": "Shiba-2-shiba",
+            "title": "ComfyUI-color-ascii-art-node",
+            "id": "asciiart",
+            "reference": "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node",
+            "files": [
+                "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a custom node to convert png images into color ASCII art. As noted below, multiple font sizes are used in the specification. The resolution of the generated file is set to be the same as the input image."
+        },
+        {
+            "author": "mittimi",
+            "title": "ComfyUI_mittimiRecalculateSize",
+            "id": "comfyui_mittimi_recalculate_size",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize"
+            ],
+            "install_type": "git-clone",
+            "description": "This is the node that performs the magnification calculation."
+        },
+        {
+            "author": "mittimi",
+            "title": "ComfyUI_mittimiWidthHeight",
+            "id": "comfyui_mittimi_width_height",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiWidthHeight",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiWidthHeight"
+            ],
+            "install_type": "git-clone",
+            "description": "This node can easily switch between vertical and horizontal values with a single button."
+        },
+        {
+            "author": "fssorc",
+            "title": "ComfyUI_pose_inter",
+            "reference": "https://github.com/fssorc/ComfyUI_pose_inter",
+            "files": [
+                "https://github.com/fssorc/ComfyUI_pose_inter"
+            ],
+            "install_type": "git-clone",
+            "description": "Generate transition frames between two character posture images. The prerequisite for running is to have installed comfyui_controlnet_aux, using its Open Pose or DWPose preprocessor"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI CogVideoX Wrapper",
+            "reference": "https://github.com/kijai/ComfyUI-CogVideoXWrapper",
+            "files": [
+                "https://github.com/kijai/ComfyUI-CogVideoXWrapper"
+            ],
+            "install_type": "git-clone",
+            "description": "Diffusers wrapper for CogVideoX -models: [a/https://github.com/THUDM/CogVideo](https://github.com/THUDM/CogVideo)"
+        },
+        {
+            "author": "kijai",
+            "title": "ComfyUI Llava-OneVision",
+            "reference": "https://github.com/kijai/ComfyUI-LLaVA-OneVision",
+            "files": [
+                "https://github.com/kijai/ComfyUI-LLaVA-OneVision"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to use the OneVision LLaVA models: [a/https://github.com/LLaVA-VL/LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT)"
+        },
+        {
+            "author": "marduk191",
+            "title": "Flux Prompt Enhance Node for ComfyUI",
+            "id": "fluxpromptenhancer",
+            "reference": "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer",
+            "files": [
+                "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node for ComfyUI integrates the Flux-Prompt-Enhance model, allowing you to enhance your prompts directly within your ComfyUI workflows."
+        },
+        {
+            "author": "Isi-dev",
+            "title": "ComfyUI-Img2DrawingAssistants",
+            "id": "Img2DrawingAssistants",
+            "reference": "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants",
+            "files": [
+                "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants"
+            ],
+            "install_type": "git-clone",
+            "description": "These are ComfyUI nodes to assist in converting an image to sketches or lineArts."
+        },
+        {
+            "author": "celoron",
+            "title": "ComfyUI-VisualQueryTemplate",
+            "reference": "https://github.com/celoron/ComfyUI-VisualQueryTemplate",
+            "files": [
+                "https://github.com/celoron/ComfyUI-VisualQueryTemplate"
+            ],
+            "install_type": "git-clone",
+            "description": "A ComfyUI node for transforming images into descriptive text using templated visual question answering. Leverages Hugging Face's VQA models with transformers"
+        },
+        {
+            "author": "drmbt",
+            "title": "comfyui-dreambait-nodes",
+            "id": "drmbt",
+            "reference": "https://github.com/drmbt/comfyui-dreambait-nodes",
+            "files": [
+                "https://github.com/drmbt/comfyui-dreambait-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of forks, QoL nodes and utilities for ComfyUI"
+        },
+        {
+            "author": "InstaSD",
+            "title": "InstaSD nodes for ComfyUI",
+            "reference": "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD",
+            "files": [
+                "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of nodes for use with InstaSD. These nodes will be transformed into app inputs when you deploy your ComfyUI workflow on InstaSD."
+        },
+        {
+            "author": "TheBill2001",
+            "title": "Save Images with Captions",
+            "reference": "https://github.com/TheBill2001/ComfyUI-Save-Image-Caption",
+            "files": [
+                "https://github.com/TheBill2001/ComfyUI-Save-Image-Caption"
+            ],
+            "install_type": "git-clone",
+            "description": "Provide two custom nodes to load and save images with captions as separate files."
+        },
+        {
+            "author": "Alex Genovese",
+            "title": "Huggingface Api Serverless",
+            "reference": "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference",
+            "files": [
+                "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference"
+            ],
+            "install_type": "git-clone",
+            "description": "Huggingface Api Serverless request"
+        },
+        {
+            "author": "BetaDoggo",
+            "title": "Gatcha Embeddings",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding"
+            ],
+            "install_type": "git-clone",
+            "description": "A revolutionary technique for increasing output variety."
+        },
+        {
+            "author": "tianguangliu",
+            "title": "comfyui-utools",
+            "id": "utools",
+            "reference": "https://github.com/tianguanggliu/Utools",
+            "files": [
+                "https://github.com/tianguanggliu/Utools"
+            ],
+            "install_type": "git-clone",
+            "description": "Efficiency tools, Personalized style, Other Nodes, ..."
+        },
+        {
+            "author": "souki202",
+            "title": "ComfyUI-LoadImage-Advanced",
+            "reference": "https://github.com/souki202/ComfyUI-LoadImage-Advanced",
+            "files": [
+                "https://github.com/souki202/ComfyUI-LoadImage-Advanced"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a node that simply integrates LoadImage, Vae Encode, Upscale, Resolution factor correction, and Color Adjustment."
+        },
+        {
+            "author": "neverbiasu",
+            "title": "ComfyUI-StyleShot",
+            "reference": "https://github.com/neverbiasu/ComfyUI-StyleShot",
+            "files": [
+                "https://github.com/neverbiasu/ComfyUI-StyleShot"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:StyleShotApply"
+        },
+        {
+            "author": "freelifehacker",
+            "title": "ComfyUI-ImgMask2PNG",
+            "reference": "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG",
+            "files": [
+                "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:ImageMask2PNG"
+        },
+        {
+            "author": "yvann-ba",
+            "title": "ComfyUI_Yvann-Nodes",
+            "reference": "https://github.com/yvann-ba/ComfyUI_Yvann-Nodes",
+            "files": [
+                "https://github.com/yvann-ba/ComfyUI_Yvann-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:Audio Analysis YVANN, Show Text YVANN."
+        },
+        {
+            "author": "leeguandong",
+            "title": "ComfyUI_VisualAttentionMap",
+            "reference": "https://github.com/leeguandong/ComfyUI_VisualAttentionMap",
+            "files": [
+                "https://github.com/leeguandong/ComfyUI_VisualAttentionMap"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:HF ModelLoader, Show Images, Text2Image Inference, Decode Latent, Show CrossAttn Map, Show SelfAttn Map"
+        },
+        {
+            "author": "SeargeDP",
+            "title": "Searge-LLM for ComfyUI v1.0",
+            "reference": "https://github.com/SeargeDP/ComfyUI_Searge_LLM",
+            "files": [
+                "https://github.com/SeargeDP/ComfyUI_Searge_LLM"
+            ],
+            "install_type": "git-clone",
+            "description": "A prompt-generator or prompt-improvement node for ComfyUI, utilizing the power of a language model to turn a provided text-to-image prompt into a more detailed and improved prompt."
+        },
+        {
+            "author": "Xclbr7",
+            "title": "ComfyUI-Merlin: Magic Photo Prompter",
+            "reference": "https://github.com/Xclbr7/ComfyUI-Merlin",
+            "files": [
+                "https://github.com/Xclbr7/ComfyUI-Merlin"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-Merlin is a custom node extension for ComfyUI, introducing the Magic Photo Prompter. This powerful tool enhances your prompt engineering process by allowing users to easily construct detailed, high-quality prompts for photo-realistic image generation."
+        },
+        {
+            "author": "ChrisColeTech",
+            "title": "ComfyUI-Elegant-Resource-Monitor",
+            "reference": "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor",
+            "files": [
+                "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor"
+            ],
+            "install_type": "git-clone",
+            "description": "This custom node for ComfyUI will add a simple and elegant resource monitor."
+        },
+        {
+            "author": "jsonL",
+            "title": "ComfyUI-tagger",
+            "id": "comfyui-tagger",
+            "reference": "https://github.com/StarMagicAI/comfyui_tagger",
+            "files": [
+                "https://github.com/StarMagicAI/comfyui_tagger"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes to use Florence2 VLM for image vision tasks: object detection, captioning, segmentation and ocr"
+        },
+        {
+            "author": "DanielHabib",
+            "title": "ComfyUI-Voxels",
+            "reference": "https://github.com/DanielHabib/ComfyUI-Voxels",
+            "files": [
+                "https://github.com/DanielHabib/ComfyUI-Voxels"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:Mesh To Voxel, Voxel Block Saver, Voxel Viewer"
+        },
+        {
+            "author": "ducido",
+            "title": "ObjectFusion_ComfyUI_nodes",
+            "id": "objectfusion-nodes",
+            "reference": "https://github.com/ducido/ObjectFusion_ComfyUI_nodes",
+            "files": [
+                "https://github.com/ducido/ObjectFusion_ComfyUI_nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a node to generate new image that combine 2 objects from different scene."
+        },
+        {
+            "author": "boredofnames",
+            "title": "ComfyUI-ntfy",
+            "reference": "https://github.com/boredofnames/ComfyUI-ntfy",
+            "files": [
+                "https://github.com/boredofnames/ComfyUI-ntfy"
+            ],
+            "install_type": "git-clone",
+            "description": "NODES:Save Image and ntfy"
+        },
+        {
+            "author": "nicehero",
+            "title": "comfyui-SegGPT",
+            "reference": "https://github.com/nicehero/comfyui-SegGPT",
+            "files": [
+                "https://github.com/nicehero/comfyui-SegGPT"
+            ],
+            "install_type": "git-clone",
+            "description": "We release the [a/SegGPT model](https://huggingface.co/BAAI/SegGPT/blob/main/seggpt_vit_large.pth) and inference code for segmentation everything, as well as some example images and videos.\nNOTE: [a/SegGPT: Segmenting Everything In Context](https://huggingface.co/BAAI/SegGPT)"
+        },
+        {
+            "author": "sakura1bgx",
+            "title": "ComfyUI_FlipStreamViewer",
+            "reference": "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer",
+            "files": [
+                "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI_FlipStreamViewer is a tool that provides a viewer interface for flipping images with frame interpolation, allowing you to watch high-fidelity pseudo-videos without needing AnimateDiff."
+        },
+        {
+            "author": "mittimi",
+            "title": "ComfyUI_mittimiLoadPreset",
+            "id": "comfyui-mittimi-load-preset",
+            "reference": "https://github.com/mittimi/ComfyUI_mittimiLoadPreset",
+            "files": [
+                "https://github.com/mittimi/ComfyUI_mittimiLoadPreset"
+            ],
+            "install_type": "git-clone",
+            "description": "The system selects and loads preset."
+        },
+        {
+            "author": "RodrigoSKohl",
+            "title": "Panoramic Image Stitcher",
+            "reference": "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher",
+            "files": [
+                "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher"
+            ],
+            "install_type": "git-clone",
+            "description": "Simple Node to make panoramic images"
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-SSREncoder",
+            "id": "ssrencoder",
+            "reference": "https://github.com/logtd/ComfyUI-SSREncoder",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SSREncoder"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI Nodes to use [a/SSR Encoder:Encoding Selective Subject Representation for Subject-Driven Generation](https://github.com/Xiaojiu-z/SSR_Encoder)."
+        },
+        {
+            "author": "logtd",
+            "title": "ComfyUI-SeeCoder",
+            "id": "seecoder-logtd",
+            "reference": "https://github.com/logtd/ComfyUI-SeeCoder",
+            "files": [
+                "https://github.com/logtd/ComfyUI-SeeCoder"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI nodes to use the SeeCoder from [a/Prompt-Free-Diffusion](https://github.com/SHI-Labs/Prompt-Free-Diffusion)"
+        },
+        {
+            "author": "nux1111",
+            "title": "ComfyUI_NetDist_Plus",
+            "reference": "https://github.com/nux1111/ComfyUI_NetDist_Plus",
+            "files": [
+                "https://github.com/nux1111/ComfyUI_NetDist_Plus"
+            ],
+            "install_type": "git-clone",
+            "description": "Run ComfyUI workflows on multiple local GPUs/networked machines with options to edit the json values within comfyui.\nOriginal repo: [a/city96/ComfyUI_NetDist](https://github.com/city96/ComfyUI_NetDist)"
+        },
+        {
+            "author": "daxcay",
+            "title": "ComfyUI-Nexus",
+            "reference": "https://github.com/daxcay/ComfyUI-Nexus",
+            "files": [
+                "https://github.com/daxcay/ComfyUI-Nexus"
+            ],
+            "install_type": "git-clone",
+            "description": "Node to enable seamless multiuser workflow collaboration, run on local and remote comfy servers."
+        },
+        {
+            "author": "Assistant",
+            "title": "ComfyUI-PromptList",
+            "reference": "https://github.com/NakamuraShippo/ComfyUI-PromptList",
+            "files": [
+                "https://github.com/NakamuraShippo/ComfyUI-PromptList"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom node for managing prompts with CSV integration"
+        },
+        {
+            "author": "X-T-E-R",
+            "title": "ComfyUI Easy Civitai (XTNodes)",
+            "reference": "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes",
+            "files": [
+                "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Fed up with the hassle of managing AI models and LoRAs? Tired of hunting down the perfect resources, only to struggle with getting them loaded and configured just right?\nIntroducing the Civitai Node Loading System—your all-in-one solution for seamless model and LoRA management. Whether you’re pulling directly from Civitai or loading from local files, our system makes it a breeze. With automatic preview generation and BLAKE3 hash verification, you can be sure that you’re always working with the correct and highest quality resources. Say goodbye to the guesswork and hello to a streamlined, efficient workflow that’s as powerful as it is user-friendly."
+        },
+        {
+            "author": "niknah",
+            "title": "Quick Connections",
+            "id": "quick-connections",
+            "reference": "https://github.com/niknah/quick-connections",
+            "files": [
+                "https://github.com/niknah/quick-connections"
+            ],
+            "install_type": "git-clone",
+            "description": "Quick connections, Circuit board connections"
+        },
+        {
+            "author": "hyejinlee12",
+            "title": "ComfyUI-Fill-Image-for-Outpainting",
+            "id": "LoadFiles",
+            "reference": "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting",
+            "files": [
+                "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting"
+            ],
+            "install_type": "git-clone",
+            "description": "This node is to fill image for outpainting(inpainting)\nFill image using cv2 methods(cv2_ns, cv2_telea and edge_pad)"
+        },
+        {
+            "author": "xlinx",
+            "title": "decadetw-Auto-Messaging-realtime",
+            "reference": "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime",
+            "files": [
+                "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime"
+            ],
+            "install_type": "git-clone",
+            "description": "Auto msg to ur mobile (LINE | Telegram | Discord)\nMotivation: Mobile phone wallpaper., an architect like: architect, cloth designer, art-worker, When u outdoor, ..."
+        },
+        {
+            "author": "yhayano-ponotech",
+            "title": "ComfyUI-Fal-API-Flux",
+            "reference": "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux",
+            "files": [
+                "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux"
+            ],
+            "install_type": "git-clone",
+            "description": "This repository contains custom nodes for ComfyUI that integrate the fal.ai FLUX.1 [dev] with LoRA API, specifically for text-to-image generation. These nodes allow you to use the FLUX.1 model directly within your ComfyUI workflows."
+        },
+        {
+            "author": "Dr.Jusseaux",
+            "title": "Diffusers-in-ComfyUI",
+            "reference": "https://github.com/maepopi/Diffusers-in-ComfyUI",
+            "files": [
+                "https://github.com/maepopi/Diffusers-in-ComfyUI"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of ComfyUI custom nodes that allow to use most Diffusers pipelines and components in Comfy(Txt2Img, Img2Img, Inpainting, LoRAS, B-LoRAS, ControlNet...)"
+        },
+        {
+            "author": "erosDiffusion",
+            "title": "Compositor Node",
+            "reference": "https://github.com/erosDiffusion/ComfyUI-enricos-nodes",
+            "files": [
+                "https://github.com/erosDiffusion/ComfyUI-enricos-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "pass up to 8 images and visually place, rotate and scale them to build the perfect composition. group move and group rescale. remember their position and scaling value across generations to easy swap images. use the buffer zone to to park an asset you don't want to use or easily reach transformations controls"
+        },
+        {
+            "author": "Rvage0815",
+            "title": "ComfyUI-RvTools",
+            "reference": "https://github.com/Rvage0815/ComfyUI-RvTools",
+            "files": [
+                "https://github.com/Rvage0815/ComfyUI-RvTools"
+            ],
+            "install_type": "git-clone",
+            "description": "With this suit, you have a lot of nodes in one place to build your workflow."
+        },
+        {
+            "author": "daryltucker",
+            "title": "ComfyUI-LoadFiles",
+            "id": "LoadFiles",
+            "reference": "https://github.com/daryltucker/ComfyUI-LoadFiles",
+            "files": [
+                "https://github.com/daryltucker/ComfyUI-LoadFiles"
+            ],
+            "install_type": "git-clone",
+            "description": "The primary goal of these nodes is to provide a way to access files generated by ComfyUI workflows, local to the machine running ComfyUI. These nodes should always return an updated list of files when triggered."
+        },
+        {
+            "author": "dchatel",
+            "title": "comfyui_davcha",
+            "reference": "https://github.com/dchatel/comfyui_davcha",
+            "files": [
+                "https://github.com/dchatel/comfyui_davcha"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:SmartMask, ResizeCropFit, Percent Padding, SoftErosion, StringScheduleHelper, DStack, DavchaConditioningConcat, DavchaModelMergeSimple, DavchaCLIPMergeSimple, DavchaModelMergeSD1, DavchaModelMergeSDXL, ConditioningCompress... Some personal QoL and experimental nodes"
+        },
+        {
+            "author": "Steudio",
+            "title": "ComfyUI_Steudio",
+            "reference": "https://github.com/Steudio/ComfyUI_Steudio",
+            "files": [
+                "https://github.com/Steudio/ComfyUI_Steudio"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes: TileSplit (Dynamic), TileMerge (Dynamic)"
+        },
+        {
+            "author": "nonnonstop",
+            "title": "comfyui-faster-loading",
+            "reference": "https://github.com/nonnonstop/comfyui-faster-loading",
+            "files": [
+                "https://github.com/nonnonstop/comfyui-faster-loading"
+            ],
+            "install_type": "git-clone",
+            "description": "This extension applies a patch that limits the model loading speed when using an HDD in a Windows environment. See [a/comfyanonymous/ComfyUI#1992](https://github.com/comfyanonymous/ComfyUI/issues/1992). [w/As this patch is only useful in very limited environments, its installation is not recommended under normal circumstances. Memory usage may increase.]"
+        },
+        {
+            "author": "TTPlanetPig",
+            "title": "Comfyui_TTP_Toolset",
+            "reference": "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset",
+            "files": [
+                "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset"
+            ],
+            "install_type": "git-clone",
+            "description": "This is a workflow for my simple logic amazing upscale node for DIT model. it can be common use for Flux,Hunyuan,SD3 It can simple tile the initial image into pieces and then use image-interrogator to get each tile prompts for more accurate upscale process. The condition will be properly handled and the hallucination will be significantly eliminated."
+        },
+        {
+            "author": "TTPlanetPig",
+            "title": "for comfyui image proprocessor",
+            "reference": "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor",
+            "files": [
+                "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor"
+            ],
+            "install_type": "git-clone",
+            "description": "Adapt for Hunyuan now\nNOTE: The files in the repo are not organized, which may lead to update issues."
+        }
+    ]
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/extension-node-map.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/extension-node-map.json
new file mode 100644
index 0000000000000000000000000000000000000000..9066944aa478cb9c589580c91bc7a9a584c8b49e
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/extension-node-map.json
@@ -0,0 +1,19801 @@
+{
+    "https://gist.github.com/alkemann/7361b8eb966f29c8238fd323409efb68/raw/f9605be0b38d38d3e3a2988f89248ff557010076/alkemann.py": [
+        [
+            "Int to Text",
+            "Save A1 Image",
+            "Seed With Text"
+        ],
+        {
+            "title_aux": "alkemann nodes"
+        }
+    ],
+    "https://github.com/0xbitches/ComfyUI-LCM": [
+        [
+            "LCM_Sampler",
+            "LCM_Sampler_Advanced",
+            "LCM_img2img_Sampler",
+            "LCM_img2img_Sampler_Advanced"
+        ],
+        {
+            "title_aux": "Latent Consistency Model for ComfyUI"
+        }
+    ],
+    "https://github.com/1038lab/ComfyUI-GPT2P": [
+        [
+            "GPT2PNode"
+        ],
+        {
+            "title_aux": "ComfyUI-GPT2P"
+        }
+    ],
+    "https://github.com/11dogzi/ComfUI-EGAdapterMadAssistant": [
+        [
+            "EGIPAdapter_Mad_Assistant",
+            "EGIPAdapter_Mad_AssistantV1",
+            "EGIPAdapter_Mad_AssistantV2",
+            "EGIPAdapter_Mad_AssistantV3",
+            "EGIPAdapter_Mad_AssistantV4",
+            "EGIPAdapter_Mad_AssistantV5",
+            "EGIPAdapter_Mad_AssistantV6"
+        ],
+        {
+            "title_aux": "ComfUI-EGAdapterMadAssistant"
+        }
+    ],
+    "https://github.com/11dogzi/Comfyui-ergouzi-Nodes": [
+        [
+            "EG-YSZT-ZT",
+            "EG_CPSYTJ",
+            "EG_FX_BDAPI",
+            "EG_HT_YSTZ",
+            "EG_JF_ZZSC",
+            "EG_JXFZ_node",
+            "EG_K_LATENT",
+            "EG_RY_HT",
+            "EG_SCQY_BHDQY",
+            "EG_SCQY_QBQY",
+            "EG_SCQY_SXQY",
+            "EG_SJ",
+            "EG_SJPJ_Node",
+            "EG_SS_RYZH",
+            "EG_SZ_JDYS",
+            "EG_TC_Node",
+            "EG_TSCDS_CJ",
+            "EG_TSCDS_DG",
+            "EG_TSCDS_FG",
+            "EG_TSCDS_JT",
+            "EG_TSCDS_QT",
+            "EG_TSCDS_RW",
+            "EG_TSCDS_WP",
+            "EG_TSCDS_ZL",
+            "EG_TSCMB_GL",
+            "EG_TXZZ_ZH",
+            "EG_TX_CCHQ",
+            "EG_TX_CJPJ",
+            "EG_TX_JZRY",
+            "EG_TX_LJ",
+            "EG_TX_LJBC",
+            "EG_TX_SFBLS",
+            "EG_TX_WHLJ",
+            "EG_WB_KSH",
+            "EG_WXZ_QH",
+            "EG_XZ_QH",
+            "EG_YSQY_BBLLD",
+            "EG_YSQY_BLLD",
+            "EG_ZY_WBK",
+            "EG_ZZHBCJ",
+            "EG_ZZKZ_HT_node",
+            "EG_ZZ_BSYH",
+            "EG_ZZ_BYYH",
+            "EG_ZZ_HSYH",
+            "EG_ZZ_MHHT",
+            "EG_ZZ_SSKZ",
+            "ER_JBCH",
+            "ER_TX_ZZCJ"
+        ],
+        {
+            "title_aux": "Comfyui-ergouzi-Nodes"
+        }
+    ],
+    "https://github.com/11dogzi/Comfyui-ergouzi-kaiguan": [
+        [
+            "ALLty",
+            "EGRYDZQHNode",
+            "GroupSwitchNode",
+            "GroupSwitchNodee",
+            "GroupSwitchNodeee",
+            "GroupSwitchNodeeee",
+            "hulue",
+            "jinyong"
+        ],
+        {
+            "title_aux": "Comfyui-ergouzi-kaiguan"
+        }
+    ],
+    "https://github.com/11dogzi/Comfyui-ergouzi-samplers": [
+        [
+            "EGBYZZCYQ",
+            "EGCYQJB",
+            "EGCYQJBCJ"
+        ],
+        {
+            "title_aux": "Comfyui-ergouzi-samplers"
+        }
+    ],
+    "https://github.com/1mckw/Comfyui-Gelbooru": [
+        [
+            "Gelbooru (ID)",
+            "Gelbooru (Random)"
+        ],
+        {
+            "title_aux": "Comfyui-Gelbooru"
+        }
+    ],
+    "https://github.com/1shadow1/hayo_comfyui_nodes/raw/main/LZCNodes.py": [
+        [
+            "LoadPILImages",
+            "MergeImages",
+            "make_transparentmask",
+            "tensor_trans_pil",
+            "words_generatee"
+        ],
+        {
+            "title_aux": "Hayo comfyui nodes"
+        }
+    ],
+    "https://github.com/2kpr/ComfyUI-UltraPixel": [
+        [
+            "UltraPixelLoad",
+            "UltraPixelProcess"
+        ],
+        {
+            "author": "italo",
+            "title_aux": "ComfyUI-UltraPixel"
+        }
+    ],
+    "https://github.com/42lux/ComfyUI-safety-checker": [
+        [
+            "Safety Checker"
+        ],
+        {
+            "title_aux": "ComfyUI-safety-checker"
+        }
+    ],
+    "https://github.com/438443467/ComfyUI-GPT4V-Image-Captioner": [
+        [
+            "GPT4VCaptioner",
+            "Image Load with Metadata",
+            "SAMIN String Attribute Selector",
+            "SANMIN Adapt Coordinates",
+            "SANMIN AdjustTransparency",
+            "SANMIN BlurMaskArea",
+            "SANMIN ChineseToCharacter",
+            "SANMIN ClothingWildcards",
+            "SANMIN ConvertToEnglish",
+            "SANMIN EditWildcards",
+            "SANMIN Float",
+            "SANMIN LoadPathImagesPreview",
+            "SANMIN SCALE AND FILL BLACK",
+            "SANMIN SanmiSaveImageToLocal",
+            "SANMIN SimpleWildcards",
+            "SANMIN Upscale And Original Size",
+            "Samin Counter",
+            "Samin Load Image Batch"
+        ],
+        {
+            "title_aux": "ComfyUI-GPT4V-Image-Captioner"
+        }
+    ],
+    "https://github.com/45uee/ComfyUI-Color_Transfer": [
+        [
+            "ColorPalette",
+            "PaletteTransfer"
+        ],
+        {
+            "title_aux": "ComfyUI-Color_Transfer"
+        }
+    ],
+    "https://github.com/54rt1n/ComfyUI-DareMerge": [
+        [
+            "DM_AdvancedDareModelMerger",
+            "DM_AdvancedModelMerger",
+            "DM_AttentionGradient",
+            "DM_BlockGradient",
+            "DM_BlockModelMerger",
+            "DM_DareClipMerger",
+            "DM_DareModelMergerBlock",
+            "DM_DareModelMergerElement",
+            "DM_DareModelMergerMBW",
+            "DM_GradientEdit",
+            "DM_GradientOperations",
+            "DM_GradientReporting",
+            "DM_InjectNoise",
+            "DM_LoRALoaderTags",
+            "DM_LoRAReporting",
+            "DM_MBWGradient",
+            "DM_MagnitudeMasker",
+            "DM_MaskEdit",
+            "DM_MaskOperations",
+            "DM_MaskReporting",
+            "DM_ModelReporting",
+            "DM_NormalizeModel",
+            "DM_QuadMasker",
+            "DM_ShellGradient",
+            "DM_SimpleMasker"
+        ],
+        {
+            "title_aux": "ComfyUI-DareMerge"
+        }
+    ],
+    "https://github.com/807502278/ComfyUI-3D-MeshTool": [
+        [
+            "Auto_Normal",
+            "Load_OBJ",
+            "Mesh_Clean_Data",
+            "Mesh_Cleanup",
+            "Mesh_Data",
+            "Mesh_Data_Statistics",
+            "Mesh_Optimization",
+            "Mesh_Subdivide",
+            "UV_options",
+            "UnwrapUV_Auto_xatlas",
+            "UnwrapUV_xatlas",
+            "array-append",
+            "array-attribute",
+            "array-convert",
+            "array-end-increment",
+            "array-end-step",
+            "array-is-null",
+            "array-number-to-angle",
+            "array-select-element",
+            "array-step",
+            "array-step-increment",
+            "array-t",
+            "array-to-camposes",
+            "cam-pos-bus",
+            "mesh_data_bus",
+            "mesh_remap_cubvh",
+            "ply_load",
+            "ply_normalize",
+            "ply_save",
+            "show_any",
+            "string-to-array",
+            "vc_to_texture"
+        ],
+        {
+            "author": "807502278",
+            "description": "A simple 3D model processing tool within ComfyUI",
+            "nickname": "3D Mesh Tool",
+            "title": "3D Mesh Tool",
+            "title_aux": "ComfyUI-3D-MeshTool"
+        }
+    ],
+    "https://github.com/80sVectorz/ComfyUI-Static-Primitives": [
+        [
+            "FloatStaticPrimitive",
+            "IntStaticPrimitive",
+            "StringMlStaticPrimitive",
+            "StringStaticPrimitive"
+        ],
+        {
+            "title_aux": "ComfyUI-Static-Primitives"
+        }
+    ],
+    "https://github.com/A4P7J1N7M05OT/ComfyUI-AutoColorGimp": [
+        [
+            "AutoColorGimp"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoColorGimp"
+        }
+    ],
+    "https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE": [
+        [
+            "PixelOE"
+        ],
+        {
+            "title_aux": "ComfyUI-PixelOE"
+        }
+    ],
+    "https://github.com/AARG-FAN/Image-Raster-for-ComfyUI": [
+        [
+            "AIraster"
+        ],
+        {
+            "title_aux": "Image-vector-for-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/AniTalker-ComfyUI": [
+        [
+            "AniTalkerNode",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "AniTalker-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-3d-photo-inpainting": [
+        [
+            "LoadImagePath",
+            "PreViewVideo",
+            "TreeDNode"
+        ],
+        {
+            "title_aux": "ComfyUI-3d-photo-inpainting"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-AuraSR": [
+        [
+            "AuraSRNode"
+        ],
+        {
+            "title_aux": "AIFSH/ComfyUI-AuraSR"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-DiffSynth-Studio": [
+        [
+            "ControlNetPathLoader",
+            "DiffTextNode",
+            "DiffutoonNode",
+            "ExVideoNode",
+            "LoadVideo",
+            "PreViewVideo",
+            "SDPathLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-DiffSynth-Studio"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-FishSpeech": [
+        [
+            "FishSpeech_INFER",
+            "FishSpeech_INFER_SRT",
+            "LoadAudio",
+            "LoadSRT",
+            "PreViewAudio"
+        ],
+        {
+            "title_aux": "ComfyUI-FishSpeech"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-GPT_SoVITS": [
+        [
+            "GPT_SOVITS_FT",
+            "GPT_SOVITS_INFER",
+            "GPT_SOVITS_TTS",
+            "LoadAudio",
+            "LoadSRT",
+            "PreViewAudio"
+        ],
+        {
+            "title_aux": "ComfyUI-GPT_SoVITS"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-Hallo": [
+        [
+            "HalloNode",
+            "LoadAudioPath",
+            "LoadImagePath",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-Hallo"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-I2V-Adapter": [
+        [
+            "I2V_AdapterNode",
+            "LoraPathLoader",
+            "MotionLoraLoader",
+            "PreViewVideo",
+            "PromptNode"
+        ],
+        {
+            "title_aux": "ComfyUI-I2V-Adapter"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-IP_LAP": [
+        [
+            "CombineAudioVideo",
+            "IP_LAP",
+            "LoadVideo",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-IP_LAP"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-Live2DViewer": [
+        [
+            "Live2DViewer",
+            "LoadAudio"
+        ],
+        {
+            "title_aux": "ComfyUI-Live2DViewer"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MARS5-TTS": [
+        [
+            "LoadAudioPath",
+            "MARS5TTS_Node",
+            "PreViewAudio",
+            "TTSTextEncode"
+        ],
+        {
+            "title_aux": "ComfyUI-MARS5-TTS"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MimicBrush": [
+        [
+            "MimicBrushNode"
+        ],
+        {
+            "title_aux": "ComfyUI-MimicBrush"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MimicMotion": [
+        [
+            "LoadVideo",
+            "MimicMotionNode",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-MimicMotion"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-MuseTalk_FSH": [
+        [
+            "CombineAudioVideo",
+            "LoadVideo",
+            "MuseTalk",
+            "MuseTalkRealTime",
+            "PreViewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI-MuseTalk_FSH"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-RVC": [
+        [
+            "CombineAudio",
+            "LoadAudio",
+            "PreViewAudio",
+            "RVC_Infer",
+            "RVC_Train"
+        ],
+        {
+            "title_aux": "ComfyUI-RVC"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-UVR5": [
+        [
+            "LoadAudioPath",
+            "PreViewAudio",
+            "UVR5_Node"
+        ],
+        {
+            "title_aux": "ComfyUI-UVR5"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-UniAnimate": [
+        [
+            "LoadImagePath",
+            "LoadVideo",
+            "PoseAlignNode",
+            "PreViewVideo",
+            "UniAnimateNode"
+        ],
+        {
+            "title_aux": "ComfyUI-UniAnimate"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-WhisperX": [
+        [
+            "LoadAudio",
+            "PreViewSRT",
+            "WhisperX"
+        ],
+        {
+            "title_aux": "ComfyUI-WhisperX"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI-XTTS": [
+        [
+            "LoadAudioPath",
+            "LoadSRT",
+            "PreViewAudio",
+            "XTTS_INFER",
+            "XTTS_INFER_SRT"
+        ],
+        {
+            "title_aux": "ComfyUI-XTTS"
+        }
+    ],
+    "https://github.com/AIFSH/ComfyUI_V-Express": [
+        [
+            "LoadAudioPath",
+            "LoadImagePath",
+            "LoadVideo",
+            "PreViewVideo",
+            "VExpress"
+        ],
+        {
+            "title_aux": "ComfyUI_V-Express"
+        }
+    ],
+    "https://github.com/AIFSH/CosyVoice-ComfyUI": [
+        [
+            "CosyVoiceDubbingNode",
+            "CosyVoiceNode",
+            "LoadSRT",
+            "TextNode"
+        ],
+        {
+            "title_aux": "CosyVoice-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/DHLive-ComfyUI": [
+        [
+            "CombineVideo",
+            "DHLIVELoadVideo",
+            "DHLiveNode",
+            "PreViewVideo",
+            "StaticVideo"
+        ],
+        {
+            "title_aux": "DHLive-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/DiffMorpher-ComfyUI": [
+        [
+            "DiffMorpherNode",
+            "PreViewGIF",
+            "TextNode"
+        ],
+        {
+            "title_aux": "DiffMorpher-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/FancyVideo-ComfyUI": [
+        [
+            "FancyVideoNode",
+            "PreViewVideo",
+            "TextEncode"
+        ],
+        {
+            "title_aux": "FancyVideo-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/GSTTS-ComfyUI": [
+        [
+            "ASRNode",
+            "AudioSlicerNode",
+            "ConfigGPTNode",
+            "ConfigSoVITSNode",
+            "DatasetNode",
+            "ExperienceNode",
+            "GSFinetuneNone",
+            "GSVTTSNode",
+            "LoadSRT",
+            "PreViewSRT",
+            "TSCY_Node",
+            "TextDictNode"
+        ],
+        {
+            "title_aux": "GSTTS-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/SenseVoice-ComfyUI": [
+        [
+            "SenseVoiceNode",
+            "ShowTextNode"
+        ],
+        {
+            "title_aux": "SenseVoice-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/StyleShot-ComfyUI": [
+        [
+            "StyleShotNode",
+            "TextNode"
+        ],
+        {
+            "title_aux": "StyleShot-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/VideoSys-ComfyUI": [
+        [
+            "PreViewVideo",
+            "TextNode",
+            "VideoSysNode"
+        ],
+        {
+            "title_aux": "VideoSys-ComfyUI"
+        }
+    ],
+    "https://github.com/AIFSH/VocalSeparation-ComfyUI": [
+        [
+            "VocalSeparationNode"
+        ],
+        {
+            "title_aux": "VocalSeparation-ComfyUI"
+        }
+    ],
+    "https://github.com/AIGCTeam/ComfyUI_kkTranslator_nodes": [
+        [
+            "LoadMarianMTCheckPoint",
+            "PromptBaiduFanyiToText",
+            "PromptTranslateToText"
+        ],
+        {
+            "title_aux": "ComfyUI_kkTranslator_nodes"
+        }
+    ],
+    "https://github.com/AIGODLIKE/ComfyUI-CUP": [
+        [
+            "Mask",
+            "OpenPose",
+            "OpenPoseCanny",
+            "OpenPoseDepth",
+            "OpenPoseFace",
+            "OpenPoseFull",
+            "OpenPoseFullExtraLimb",
+            "OpenPoseHand",
+            "OpenPoseKeyPose",
+            "OpenPoseLineart",
+            "OpenPoseMediaPipeFace",
+            "PreviewAudio",
+            "SaveAudioBL",
+            "\u5b58\u50a8",
+            "\u5bfc\u5165",
+            "\u622a\u56fe",
+            "\u6750\u8d28\u56fe",
+            "\u8f93\u5165\u56fe\u50cf",
+            "\u9884\u89c8"
+        ],
+        {
+            "title_aux": "ComfyUI-CUP"
+        }
+    ],
+    "https://github.com/AIGODLIKE/ComfyUI-ToonCrafter": [
+        [
+            "ToonCrafterNode",
+            "ToonCrafterWithSketch"
+        ],
+        {
+            "title_aux": "ComfyUI-ToonCrafter"
+        }
+    ],
+    "https://github.com/AInseven/ComfyUI-fastblend": [
+        [
+            "FillDarkMask",
+            "InterpolateKeyFrame",
+            "MaskListcaptoBatch",
+            "Merge_Image_List",
+            "MyOpenPoseNode",
+            "SmoothVideo",
+            "alert_when_finished",
+            "reBatchImage"
+        ],
+        {
+            "title_aux": "ComfyUI-fastblend"
+        }
+    ],
+    "https://github.com/AIrjen/OneButtonPrompt": [
+        [
+            "AutoNegativePrompt",
+            "CreatePromptVariant",
+            "OneButtonArtify",
+            "OneButtonFlufferize",
+            "OneButtonPreset",
+            "OneButtonPrompt",
+            "OneButtonSuperPrompt",
+            "SavePromptToFile"
+        ],
+        {
+            "title_aux": "One Button Prompt"
+        }
+    ],
+    "https://github.com/ALatentPlace/ComfyUI_yanc": [
+        [
+            "> Bloom",
+            "> Blur",
+            "> Brightness",
+            "> Clear Text",
+            "> Combine Channels",
+            "> Contrast",
+            "> Divide Channels",
+            "> Edge Enhance",
+            "> Film Grain",
+            "> Float to Int",
+            "> Fog",
+            "> Get Mean Color",
+            "> HUE",
+            "> Int",
+            "> Int to Text",
+            "> Layer Weights (for IPAMS)",
+            "> Lens Distortion",
+            "> Light Source Mask",
+            "> Load Image",
+            "> Load Image From Folder",
+            "> Mask Curves",
+            "> NIKSampler",
+            "> Noise From Image",
+            "> Normal Map Lighting",
+            "> RGB Color",
+            "> RGB Shift",
+            "> Resolution by Aspect Ratio",
+            "> Rotate Image",
+            "> Saturation",
+            "> Save Image",
+            "> Scale Image to Side",
+            "> Scanlines",
+            "> Sharpen",
+            "> Text",
+            "> Text Combine",
+            "> Text Pick Line by Index",
+            "> Text Pick Random Line",
+            "> Text Random Weights",
+            "> Text Replace",
+            "> Vignette"
+        ],
+        {
+            "title_aux": "ComfyUI_yanc"
+        }
+    ],
+    "https://github.com/APZmedia/ComfyUI-APZmedia-cleanName-from-string": [
+        [
+            "CleanFileNameNode",
+            "GenerateFilePathNode"
+        ],
+        {
+            "title_aux": "APZmedia Clean Name"
+        }
+    ],
+    "https://github.com/Aaron-CHM/ComfyUI-z-a1111-sd-webui-DanTagGen": [
+        [
+            "DanTagGen"
+        ],
+        {
+            "title_aux": "z-a1111-sd-webui-DanTagGen"
+        }
+    ],
+    "https://github.com/AbdullahAlfaraj/Comfy-Photoshop-SD": [
+        [
+            "APS_LatentBatch",
+            "APS_Seed",
+            "ContentMaskLatent",
+            "ControlNetScript",
+            "ControlnetUnit",
+            "GaussianLatentImage",
+            "GetConfig",
+            "LoadImageBase64",
+            "LoadImageWithMetaData",
+            "LoadLorasFromPrompt",
+            "MaskExpansion"
+        ],
+        {
+            "title_aux": "Comfy-Photoshop-SD"
+        }
+    ],
+    "https://github.com/AbyssBadger0/ComfyUI_Kolors_awesome_prompts": [
+        [
+            "KolorsAwesomePrompts"
+        ],
+        {
+            "title_aux": "Kolors Awesome Prompts"
+        }
+    ],
+    "https://github.com/AbyssYuan0/ComfyUI_BadgerTools": [
+        [
+            "ApplyMaskToImage-badger",
+            "CropImageByMask-badger",
+            "ExpandImageWithColor-badger",
+            "FindThickLinesFromCanny-badger",
+            "FloatToInt-badger",
+            "FloatToString-badger",
+            "FrameToVideo-badger",
+            "GETRequset-badger",
+            "GarbageCollect-badger",
+            "GetColorFromBorder-badger",
+            "GetDirName-badger",
+            "GetUUID-badger",
+            "IdentifyBorderColorToMask-badger",
+            "IdentifyColorToMask-badger",
+            "ImageNormalization-badger",
+            "ImageOverlap-badger",
+            "ImageScaleToSide-badger",
+            "IntToString-badger",
+            "IntToStringAdvanced-badger",
+            "LoadImageAdvanced-badger",
+            "LoadImagesFromDirListAdvanced-badger",
+            "RotateImageWithPadding",
+            "SegmentToMaskByPoint-badger",
+            "SimpleBoolean-badger",
+            "StringToFizz-badger",
+            "TextListToString-badger",
+            "ToPixel-badger",
+            "TrimTransparentEdges-badger",
+            "VideoCutFromDir-badger",
+            "VideoToFrame-badger",
+            "deleteDir-badger",
+            "findCenterOfMask-badger",
+            "getImageSide-badger",
+            "getParentDir-badger",
+            "mkdir-badger"
+        ],
+        {
+            "title_aux": "ComfyUI_BadgerTools"
+        }
+    ],
+    "https://github.com/Acly/comfyui-inpaint-nodes": [
+        [
+            "INPAINT_ApplyFooocusInpaint",
+            "INPAINT_DenoiseToCompositingMask",
+            "INPAINT_ExpandMask",
+            "INPAINT_InpaintWithModel",
+            "INPAINT_LoadFooocusInpaint",
+            "INPAINT_LoadInpaintModel",
+            "INPAINT_MaskedBlur",
+            "INPAINT_MaskedFill",
+            "INPAINT_VAEEncodeInpaintConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI Inpaint Nodes"
+        }
+    ],
+    "https://github.com/Acly/comfyui-tooling-nodes": [
+        [
+            "ETN_ApplyMaskToImage",
+            "ETN_AttentionMask",
+            "ETN_BackgroundRegion",
+            "ETN_CropImage",
+            "ETN_DefineRegion",
+            "ETN_ExtractImageTile",
+            "ETN_ExtractMaskTile",
+            "ETN_GenerateTileMask",
+            "ETN_ListRegionMasks",
+            "ETN_LoadImageBase64",
+            "ETN_LoadMaskBase64",
+            "ETN_MergeImageTile",
+            "ETN_NSFWFilter",
+            "ETN_SendImageWebSocket",
+            "ETN_TileLayout",
+            "ETN_Translate"
+        ],
+        {
+            "title_aux": "ComfyUI Nodes for External Tooling"
+        }
+    ],
+    "https://github.com/AiMiDi/ComfyUI-Aimidi-nodes": [
+        [
+            "Add Tag",
+            "Clear Tag",
+            "Load Images Pair Batch",
+            "Merge Tag",
+            "Move Tag To Top",
+            "Reserve Tag",
+            "Save Images Pair"
+        ],
+        {
+            "title_aux": "ComfyUI-Aimidi-nodes"
+        }
+    ],
+    "https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet": [
+        [
+            "ArgosTranslateCLIPTextEncodeNode",
+            "ArgosTranslateTextNode",
+            "ColorsCorrectNode",
+            "DeepTranslatorCLIPTextEncodeNode",
+            "DeepTranslatorTextNode",
+            "GoogleTranslateCLIPTextEncodeNode",
+            "GoogleTranslateTextNode",
+            "HexToHueNode",
+            "IDENode",
+            "PainterNode",
+            "PoseNode",
+            "PreviewTextNode"
+        ],
+        {
+            "title_aux": "AlekPet/ComfyUI_Custom_Nodes_AlekPet"
+        }
+    ],
+    "https://github.com/Amorano/Jovimetrix": [
+        [
+            "ADJUST (JOV) \ud83d\udd78\ufe0f",
+            "AKASHIC (JOV) \ud83d\udcd3",
+            "ARRAY (JOV) \ud83d\udcda",
+            "BLEND (JOV) \u2697\ufe0f",
+            "COLOR BLIND (JOV) \ud83d\udc41\u200d\ud83d\udde8",
+            "COLOR MATCH (JOV) \ud83d\udc9e",
+            "COLOR THEORY (JOV) \ud83d\udede",
+            "COMPARISON (JOV) \ud83d\udd75\ud83c\udffd",
+            "CONSTANT (JOV) \ud83d\udfea",
+            "CROP (JOV) \u2702\ufe0f",
+            "DELAY (JOV) \u270b\ud83c\udffd",
+            "EXPORT (JOV) \ud83d\udcfd",
+            "FILTER MASK (JOV) \ud83e\udd3f",
+            "FLATTEN (JOV) \u2b07\ufe0f",
+            "GLSL (JOV) \ud83c\udf69",
+            "GLSL BLEND LINEAR (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL GRAYSCALE (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL HSV-2-LAB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL HSV-2-RGB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL LAB-2-HSV (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL LAB-2-RGB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL LAB-2-XYZ (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL NORMAL (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL NORMAL BLEND (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL RGB-2-HSV (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL RGB-2-LAB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL RGB-2-XYZ (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL XYZ-2-LAB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GLSL XYZ-2-RGB (JOV) \ud83e\uddd9\ud83c\udffd",
+            "GRADIENT MAP (JOV) \ud83c\uddf2\ud83c\uddfa",
+            "GRAPH (JOV) \ud83d\udcc8",
+            "IMAGE INFO (JOV) \ud83d\udcda",
+            "LERP (JOV) \ud83d\udd30",
+            "MIDI FILTER (JOV) \u2733\ufe0f",
+            "MIDI FILTER EZ (JOV) \u2747\ufe0f",
+            "MIDI MESSAGE (JOV) \ud83c\udf9b\ufe0f",
+            "MIDI READER (JOV) \ud83c\udfb9",
+            "OP BINARY (JOV) \ud83c\udf1f",
+            "OP UNARY (JOV) \ud83c\udfb2",
+            "PIXEL MERGE (JOV) \ud83e\udec2",
+            "PIXEL SPLIT (JOV) \ud83d\udc94",
+            "PIXEL SWAP (JOV) \ud83d\udd03",
+            "QUEUE (JOV) \ud83d\uddc3",
+            "ROUTE (JOV) \ud83d\ude8c",
+            "SAVE OUTPUT (JOV) \ud83d\udcbe",
+            "SHAPE GEN (JOV) \u2728",
+            "SPOUT WRITER (JOV) \ud83c\udfa5",
+            "STACK (JOV) \u2795",
+            "STEREOGRAM (JOV) \ud83d\udcfb",
+            "STEREOSCOPIC (JOV) \ud83d\udd76\ufe0f",
+            "STREAM READER (JOV) \ud83d\udcfa",
+            "STREAM WRITER (JOV) \ud83c\udf9e\ufe0f",
+            "STRINGER (JOV) \ud83e\ude80",
+            "SWIZZLE (JOV) \ud83d\ude35",
+            "TEXT GEN (JOV) \ud83d\udcdd",
+            "THRESHOLD (JOV) \ud83d\udcc9",
+            "TICK (JOV) \u23f1",
+            "TRANSFORM (JOV) \ud83c\udfdd\ufe0f",
+            "VALUE (JOV) \ud83e\uddec",
+            "WAVE GEN (JOV) \ud83c\udf0a",
+            "WAVE GRAPH (JOV) \u25b6 \u0131l\u0131\u0131l\u0131"
+        ],
+        {
+            "author": "amorano",
+            "description": "Integrates Webcam, MIDI, Spout and GLSL shader support. Animation",
+            "nodename_pattern": " \\(JOV\\)$",
+            "title": "Jovimetrix",
+            "title_aux": "Jovimetrix Composition Nodes"
+        }
+    ],
+    "https://github.com/Anibaaal/ComfyUI-UX-Nodes": [
+        [
+            "CheckpointLoaderBNB",
+            "EasyResolutionPicker",
+            "ModelSave",
+            "UNETLoaderBNB"
+        ],
+        {
+            "title_aux": "ComfyUI UX Nodes"
+        }
+    ],
+    "https://github.com/AonekoSS/ComfyUI-LoRA-Tuner": [
+        [
+            "LoraTuner"
+        ],
+        {
+            "title_aux": "ComfyUI-LoRA-Tuner"
+        }
+    ],
+    "https://github.com/AonekoSS/ComfyUI-SimpleCounter": [
+        [
+            "Simple Counter"
+        ],
+        {
+            "title_aux": "ComfyUI-SimpleCounter"
+        }
+    ],
+    "https://github.com/ArcherFMY/Diffusion360_ComfyUI": [
+        [
+            "Diffusion360LoaderImage2Pano",
+            "Diffusion360LoaderText2Pano",
+            "Diffusion360Sampler",
+            "Diffusion360SamplerImage2Pano",
+            "Diffusion360SamplerText2Pano",
+            "InputImage",
+            "InputText",
+            "VAEDecodeTiledBlended"
+        ],
+        {
+            "title_aux": "Diffusion360_ComfyUI"
+        }
+    ],
+    "https://github.com/ArdeniusAI/CPlus_Ardenius": [
+        [
+            "Control_Box"
+        ],
+        {
+            "author": "initials AMA",
+            "description": "CPlus control box is designed to gather workflow variables into 1 node for easier control of your workflow.",
+            "nickname": "Ardenius",
+            "title": "Ardenius",
+            "title_aux": "CPlus_Ardenius ComfyUI Control Box"
+        }
+    ],
+    "https://github.com/ArtBot2023/CharacterFaceSwap": [
+        [
+            "Color Blend",
+            "Crop Face",
+            "Exclude Facial Feature",
+            "Generation Parameter Input",
+            "Generation Parameter Output",
+            "Image Full BBox",
+            "Load BiseNet",
+            "Load RetinaFace",
+            "Mask Contour",
+            "Segment Face",
+            "Uncrop Face"
+        ],
+        {
+            "title_aux": "Character Face Swap"
+        }
+    ],
+    "https://github.com/ArtVentureX/comfyui-animatediff": [
+        [
+            "AnimateDiffCombine",
+            "AnimateDiffLoraLoader",
+            "AnimateDiffModuleLoader",
+            "AnimateDiffSampler",
+            "AnimateDiffSlidingWindowOptions",
+            "ImageSizeAndBatchSize",
+            "LoadVideo"
+        ],
+        {
+            "title_aux": "AnimateDiff"
+        }
+    ],
+    "https://github.com/AshMartian/ComfyUI-DirGir": [
+        [
+            "Dir_Gir_Looper",
+            "Dir_Gir_Picker",
+            "Gir_Image_Nabber"
+        ],
+        {
+            "title_aux": "Dir Gir"
+        }
+    ],
+    "https://github.com/AuroBit/ComfyUI-AnimateAnyone-reproduction": [
+        [
+            "AnimateAnyone"
+        ],
+        {
+            "title_aux": "ComfyUI-AnimateAnyone-reproduction"
+        }
+    ],
+    "https://github.com/AustinMroz/ComfyUI-DynamicOversampling": [
+        [
+            "DynamicSampler",
+            "MeasuredSampler",
+            "ResolveMaskPromise"
+        ],
+        {
+            "title_aux": "DynamicOversampling"
+        }
+    ],
+    "https://github.com/AustinMroz/ComfyUI-SpliceTools": [
+        [
+            "LogSigmas",
+            "RerangeSigmas",
+            "SpliceDenoised",
+            "SpliceLatents",
+            "TemporalSplice"
+        ],
+        {
+            "title_aux": "SpliceTools"
+        }
+    ],
+    "https://github.com/Auttasak-L/ComfyUI-ImageCropper": [
+        [
+            "ImageCropper"
+        ],
+        {
+            "title_aux": "ComfyUI-ImageCropper"
+        }
+    ],
+    "https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader": [
+        [
+            "RSSFeedNode"
+        ],
+        {
+            "title_aux": "ComfyUI_RSS_Feed_Reader"
+        }
+    ],
+    "https://github.com/BXYMartin/ComfyUI-InstantIDUtils": [
+        [
+            "ListOfImages",
+            "MultiControlNetConverter",
+            "NHWC2NCHWTensor",
+            "NHWCTensor2PIL",
+            "PIL2NHWCTensor"
+        ],
+        {
+            "title_aux": "ComfyUI-InstantIDUtils"
+        }
+    ],
+    "https://github.com/BadCafeCode/masquerade-nodes-comfyui": [
+        [
+            "Blur",
+            "Change Channel Count",
+            "Combine Masks",
+            "Constant Mask",
+            "Convert Color Space",
+            "Create QR Code",
+            "Create Rect Mask",
+            "Cut By Mask",
+            "Get Image Size",
+            "Image To Mask",
+            "Make Image Batch",
+            "Mask By Text",
+            "Mask Morphology",
+            "Mask To Region",
+            "MasqueradeIncrementer",
+            "Mix Color By Mask",
+            "Mix Images By Mask",
+            "Paste By Mask",
+            "Prune By Mask",
+            "Separate Mask Components",
+            "Unary Image Op",
+            "Unary Mask Op"
+        ],
+        {
+            "title_aux": "Masquerade Nodes"
+        }
+    ],
+    "https://github.com/Beinsezii/bsz-cui-extras": [
+        [
+            "BSZAbsoluteHires",
+            "BSZAspectHires",
+            "BSZColoredLatentImageXL",
+            "BSZCombinedHires",
+            "BSZHueChromaXL",
+            "BSZInjectionKSampler",
+            "BSZLatentDebug",
+            "BSZLatentFill",
+            "BSZLatentGradient",
+            "BSZLatentHSVAImage",
+            "BSZLatentOffsetXL",
+            "BSZLatentRGBAImage",
+            "BSZLatentbuster",
+            "BSZPixelbuster",
+            "BSZPixelbusterHelp",
+            "BSZPrincipledConditioning",
+            "BSZPrincipledSampler",
+            "BSZPrincipledScale",
+            "BSZStrangeResample"
+        ],
+        {
+            "title_aux": "bsz-cui-extras"
+        }
+    ],
+    "https://github.com/BenNarum/ComfyUI_CAS": [
+        [
+            "AttentionToSigmas",
+            "AttenuatorNode",
+            "BasicCFGGuider",
+            "CELU",
+            "CustomAdvancedSampler",
+            "CustomLCMCFGPP",
+            "CustomModelSamplingDiscreteDistilledAncestralCFGPP",
+            "CustomModelSamplingDiscreteDistilledCFGPP",
+            "CustomX0AncestralCFGPP",
+            "CustomX0CFGPP",
+            "ELU",
+            "EPSCFGPPScheduler",
+            "GELU",
+            "GLU",
+            "HardTanhScheduler",
+            "Hardshrink",
+            "Hardsigmoid",
+            "Hardswish",
+            "Hardtanh",
+            "LatentActivation",
+            "LatentChannelPresets",
+            "LatentConvolution",
+            "LatentFFT",
+            "LatentFrequencyPresets",
+            "LatentGlitch",
+            "LatentMath",
+            "LatentMathFormulaBuilder",
+            "LatentMosaic",
+            "LatentNoisePresets",
+            "LatentPixelSort",
+            "LatentSelfAttention",
+            "LatentTwist",
+            "LatentValuePresets",
+            "LatentWarpPresets",
+            "LeakyReLU",
+            "LogSigmoid",
+            "LogSoftmax",
+            "Mish",
+            "PReLU",
+            "RReLU",
+            "ReLU",
+            "ReLU6",
+            "SELU",
+            "SamplerCustomLCMCFGPP",
+            "SamplerCustomModelSamplingDiscreteDistilledAncestralCFGPP",
+            "SamplerCustomModelSamplingDiscreteDistilledCFGPP",
+            "SamplerCustomX0AncestralCFGPP",
+            "SamplerCustomX0CFGPP",
+            "SamplerDPMCFGPP",
+            "SamplerDynamicCFGPP",
+            "SamplerEulerAttnCFGPP",
+            "SamplerEulerStepControlAncestralCFGPP",
+            "SamplerHeunCFGPP",
+            "SamplerLCMUpscaleW",
+            "SamplerLCMUpscaleWCFGPP",
+            "SamplerLCMUpscaleWGPU",
+            "SamplerStepSizeControlCFGPP",
+            "SamplerWeightedCFGPP",
+            "SiLU",
+            "Softmax",
+            "Softmax2D",
+            "SoftmaxScheduler",
+            "Softmin",
+            "Softplus",
+            "Softshrink",
+            "Softsign",
+            "Tanh",
+            "Tanhshrink",
+            "Threshold",
+            "tcd_euler_a_w",
+            "tcd_w"
+        ],
+        {
+            "title_aux": "ComfyUI_CAS"
+        }
+    ],
+    "https://github.com/BenNarum/SigmaWaveFormNode": [
+        [
+            "AttenuatorNode",
+            "FourierFilterNode",
+            "PhaseLockedLoopNode",
+            "SigmaWaveFormNode",
+            "SigmaWaveFormNodeAdvanced",
+            "SigmaWaveFormNodeSimple"
+        ],
+        {
+            "title_aux": "SigmaWaveFormNodes"
+        }
+    ],
+    "https://github.com/BennyKok/comfyui-deploy": [
+        [
+            "ComfyDeployWebscoketImageInput",
+            "ComfyDeployWebscoketImageOutput",
+            "ComfyUIDeployExternalBoolean",
+            "ComfyUIDeployExternalCheckpoint",
+            "ComfyUIDeployExternalImage",
+            "ComfyUIDeployExternalImageAlpha",
+            "ComfyUIDeployExternalImageBatch",
+            "ComfyUIDeployExternalLora",
+            "ComfyUIDeployExternalNumber",
+            "ComfyUIDeployExternalNumberInt",
+            "ComfyUIDeployExternalNumberSlider",
+            "ComfyUIDeployExternalText",
+            "ComfyUIDeployExternalTextList",
+            "ComfyUIDeployExternalVid",
+            "ComfyUIDeployExternalVideo"
+        ],
+        {
+            "author": "BennyKok",
+            "description": "",
+            "nickname": "Comfy Deploy",
+            "title": "comfyui-deploy",
+            "title_aux": "ComfyUI Deploy"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-Gatcha-Embedding": [
+        [
+            "GatchaEmbedding"
+        ],
+        {
+            "title_aux": "Gatcha Embeddings"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-VideoPlayer": [
+        [
+            "AllInOnePlayer",
+            "ImageToEmoji",
+            "LoadFrame",
+            "LoadJPGFrame",
+            "LoadVideoFrame"
+        ],
+        {
+            "title_aux": "ComfyUI Video Player"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-WDV-Nodes": [
+        [
+            "ModelSamplingWaifuDiffusionV"
+        ],
+        {
+            "title_aux": "neggles/ComfyUI-WDV-Nodes [gist-wrapper]"
+        }
+    ],
+    "https://github.com/BetaDoggo/ComfyUI-YetAnotherSafetyChecker": [
+        [
+            "YetAnotherSafetyChecker"
+        ],
+        {
+            "title_aux": "ComfyUI YetAnotherSafetyChecker"
+        }
+    ],
+    "https://github.com/Big-Idea-Technology/ComfyUI-Book-Tools": [
+        [
+            "BTPromptSchedule",
+            "BTPromptSelector",
+            "EndQueue",
+            "ImageTextOverlay",
+            "Loop",
+            "LoopEnd",
+            "LoopStart"
+        ],
+        {
+            "title_aux": "ComfyUI-Book-Tools Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/Big-Idea-Technology/ComfyUI_LLM_Node": [
+        [
+            "AdvOptions_Node",
+            "CodingOptionsNode",
+            "LLM_Node",
+            "Output_Node",
+            "QuantizationConfig_Node"
+        ],
+        {
+            "title_aux": "LLM Node for ComfyUI"
+        }
+    ],
+    "https://github.com/Bikecicle/ComfyUI-Waveform-Extensions/raw/main/EXT_AudioManipulation.py": [
+        [
+            "BatchJoinAudio",
+            "CutAudio",
+            "DuplicateAudio",
+            "JoinAudio",
+            "ResampleAudio",
+            "ReverseAudio",
+            "StretchAudio"
+        ],
+        {
+            "title_aux": "Waveform Extensions"
+        }
+    ],
+    "https://github.com/Billius-AI/ComfyUI-Path-Helper": [
+        [
+            "Add File Name Prefix",
+            "Add File Name Prefix Advanced",
+            "Add Folder",
+            "Add Folder Advanced",
+            "Create Project Root",
+            "Join Variables",
+            "Show Path",
+            "Show String"
+        ],
+        {
+            "title_aux": "ComfyUI-Path-Helper"
+        }
+    ],
+    "https://github.com/BlakeOne/ComfyUI-CustomScheduler": [
+        [
+            "CustomScheduler"
+        ],
+        {
+            "title_aux": "ComfyUI CustomScheduler"
+        }
+    ],
+    "https://github.com/BlakeOne/ComfyUI-SchedulerMixer": [
+        [
+            "SchedulerMixer"
+        ],
+        {
+            "title_aux": "ComfyUI SchedulerMixer"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb": [
+        [
+            "BNK_AddCLIPSDXLParams",
+            "BNK_AddCLIPSDXLRParams",
+            "BNK_CLIPTextEncodeAdvanced",
+            "BNK_CLIPTextEncodeSDXLAdvanced"
+        ],
+        {
+            "title_aux": "Advanced CLIP Text Encode"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_Cutoff": [
+        [
+            "BNK_CutoffBasePrompt",
+            "BNK_CutoffRegionsToConditioning",
+            "BNK_CutoffRegionsToConditioning_ADV",
+            "BNK_CutoffSetRegions"
+        ],
+        {
+            "title_aux": "ComfyUI Cutoff"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_Noise": [
+        [
+            "BNK_DuplicateBatchIndex",
+            "BNK_GetSigma",
+            "BNK_InjectNoise",
+            "BNK_NoisyLatentImage",
+            "BNK_SlerpLatent",
+            "BNK_Unsampler"
+        ],
+        {
+            "title_aux": "ComfyUI Noise"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_SeeCoder": [
+        [
+            "ConcatConditioning",
+            "SEECoderImageEncode"
+        ],
+        {
+            "title_aux": "SeeCoder [WIP]"
+        }
+    ],
+    "https://github.com/BlenderNeko/ComfyUI_TiledKSampler": [
+        [
+            "BNK_TiledKSampler",
+            "BNK_TiledKSamplerAdvanced"
+        ],
+        {
+            "title_aux": "Tiled sampling for ComfyUI"
+        }
+    ],
+    "https://github.com/CC-BryanOttho/ComfyUI_API_Manager": [
+        [
+            "APIRequestNode",
+            "PostImageToAPI",
+            "TextPromptCombinerNode"
+        ],
+        {
+            "title_aux": "ComfyUI_API_Manager"
+        }
+    ],
+    "https://github.com/CYBERLOOM-INC/ComfyUI-nodes-hnmr": [
+        [
+            "CLIPIter",
+            "Dict2Model",
+            "GridImage",
+            "ImageBlend2",
+            "KSamplerOverrided",
+            "KSamplerSetting",
+            "KSamplerXYZ",
+            "LatentToHist",
+            "LatentToImage",
+            "ModelIter",
+            "RandomLatentImage",
+            "SaveStateDict",
+            "SaveText",
+            "StateDictLoader",
+            "StateDictMerger",
+            "StateDictMergerBlockWeighted",
+            "StateDictMergerBlockWeightedMulti",
+            "VAEDecodeBatched",
+            "VAEEncodeBatched",
+            "VAEIter"
+        ],
+        {
+            "title_aux": "ComfyUI-nodes-hnmr"
+        }
+    ],
+    "https://github.com/CaptainGrock/ComfyUIInvisibleWatermark/raw/main/Invisible%20Watermark.py": [
+        [
+            "Apply Invisible Watermark",
+            "Extract Watermark"
+        ],
+        {
+            "title_aux": "ComfyUIInvisibleWatermark"
+        }
+    ],
+    "https://github.com/Chan-0312/ComfyUI-EasyDeforum": [
+        [
+            "Easy2DDeforum"
+        ],
+        {
+            "title_aux": "ComfyUI-EasyDeforum"
+        }
+    ],
+    "https://github.com/Chan-0312/ComfyUI-IPAnimate": [
+        [
+            "IPAdapterAnimate"
+        ],
+        {
+            "title_aux": "ComfyUI-IPAnimate"
+        }
+    ],
+    "https://github.com/Chan-0312/ComfyUI-Prompt-Preview": [
+        [
+            "SDXLPromptStylerAdvancedPreview",
+            "SDXLPromptStylerPreview"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompt-Preview"
+        }
+    ],
+    "https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes": [
+        [
+            "ImageToPIL",
+            "LoadImageFromPath",
+            "PILToImage",
+            "PILToMask"
+        ],
+        {
+            "title_aux": "ComfyUI_Ib_CustomNodes"
+        }
+    ],
+    "https://github.com/ChrisColeTech/ComfyUI-Elegant-Resource-Monitor": [
+        [
+            "Resource Monitor"
+        ],
+        {
+            "title_aux": "ComfyUI-Elegant-Resource-Monitor"
+        }
+    ],
+    "https://github.com/ChrisColeTech/ComfyUI-Line-counter": [
+        [
+            "Directory File Counter",
+            "Simple Number Counter",
+            "Text File Line Counter"
+        ],
+        {
+            "title_aux": "ComfyUI-Line-counter"
+        }
+    ],
+    "https://github.com/Clybius/ComfyUI-Extra-Samplers": [
+        [
+            "GeometricCFGGuider",
+            "ImageAssistedCFGGuider",
+            "MegaCFGGuider",
+            "SamplerCLYB_4M_SDE_Momentumized",
+            "SamplerCustomModelMixtureDuo",
+            "SamplerCustomNoise",
+            "SamplerCustomNoiseDuo",
+            "SamplerDPMPP_3M_SDE_DynETA",
+            "SamplerDPMPP_DualSDE_Momentumized",
+            "SamplerEulerAncestralDancing_Experimental",
+            "SamplerLCMCustom",
+            "SamplerRES_Momentumized",
+            "SamplerSupreme",
+            "SamplerTTM",
+            "ScaledCFGGuider",
+            "SimpleExponentialScheduler",
+            "WarmupDecayCFGGuider"
+        ],
+        {
+            "title_aux": "ComfyUI Extra Samplers"
+        }
+    ],
+    "https://github.com/Clybius/ComfyUI-Latent-Modifiers": [
+        [
+            "Latent Diffusion Mega Modifier"
+        ],
+        {
+            "title_aux": "ComfyUI-Latent-Modifiers"
+        }
+    ],
+    "https://github.com/CosmicLaca/ComfyUI_Primere_Nodes": [
+        [
+            "PrimereAestheticCKPTScorer",
+            "PrimereAnyDetailer",
+            "PrimereAnyOutput",
+            "PrimereCKPT",
+            "PrimereCKPTLoader",
+            "PrimereCLIPEncoder",
+            "PrimereClearPrompt",
+            "PrimereConceptDataTuple",
+            "PrimereDynamicParser",
+            "PrimereEmbedding",
+            "PrimereEmbeddingHandler",
+            "PrimereEmbeddingKeywordMerger",
+            "PrimereEmotionsStyles",
+            "PrimereHypernetwork",
+            "PrimereImageSegments",
+            "PrimereKSampler",
+            "PrimereLCMSelector",
+            "PrimereLORA",
+            "PrimereLYCORIS",
+            "PrimereLatentNoise",
+            "PrimereLoraKeywordMerger",
+            "PrimereLoraStackMerger",
+            "PrimereLycorisKeywordMerger",
+            "PrimereLycorisStackMerger",
+            "PrimereMetaCollector",
+            "PrimereMetaDistributor",
+            "PrimereMetaDistributorStage2",
+            "PrimereMetaHandler",
+            "PrimereMetaRead",
+            "PrimereMetaSave",
+            "PrimereMidjourneyStyles",
+            "PrimereModelConceptSelector",
+            "PrimereModelKeyword",
+            "PrimereNetworkTagLoader",
+            "PrimerePreviewImage",
+            "PrimerePrompt",
+            "PrimerePromptOrganizer",
+            "PrimerePromptSwitch",
+            "PrimereRefinerPrompt",
+            "PrimereResolution",
+            "PrimereResolutionCoordinatorMPX",
+            "PrimereResolutionMultiplier",
+            "PrimereResolutionMultiplierMPX",
+            "PrimereSamplers",
+            "PrimereSamplersSteps",
+            "PrimereSeed",
+            "PrimereStepsCfg",
+            "PrimereStyleLoader",
+            "PrimereStylePile",
+            "PrimereTextOutput",
+            "PrimereUpscaleModel",
+            "PrimereVAE",
+            "PrimereVAELoader",
+            "PrimereVAESelector",
+            "PrimereVisualCKPT",
+            "PrimereVisualEmbedding",
+            "PrimereVisualHypernetwork",
+            "PrimereVisualLORA",
+            "PrimereVisualLYCORIS",
+            "PrimereVisualStyle"
+        ],
+        {
+            "title_aux": "Primere nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/Cyber-Blacat/ComfyUI-Yuan": [
+        [
+            "Image Judgment",
+            "ImageMinusMask",
+            "Yuan",
+            "Yuan Transfer",
+            "YuanBW"
+        ],
+        {
+            "title_aux": "ComfyUI-Yuan"
+        }
+    ],
+    "https://github.com/Cyberschorsch/ComfyUI-checkpoint-config-loader": [
+        [
+            "Checkpoint Loader Config"
+        ],
+        {
+            "title_aux": "ComfyUI Checkpoint Loader Config"
+        }
+    ],
+    "https://github.com/Danand/ComfyUI-ComfyCouple": [
+        [
+            "Attention couple",
+            "Comfy Couple"
+        ],
+        {
+            "author": "Rei D.",
+            "description": "If you want to draw two different characters together without blending their features, so you could try to check out this custom node.",
+            "nickname": "Danand",
+            "title": "Comfy Couple",
+            "title_aux": "Comfy Couple"
+        }
+    ],
+    "https://github.com/DanielHabib/ComfyUI-Voxels": [
+        [
+            "ImageBatchToImageList",
+            "MaskBatchToMaskList",
+            "MeshToVoxel",
+            "VoxelBlockLoader",
+            "VoxelBlockSaver",
+            "VoxelBlocksIntoVoxelVideo",
+            "VoxelVideoAPIInputNode",
+            "VoxelVideoLoader",
+            "VoxelVideoPreview",
+            "VoxelVideoViewer",
+            "VoxelViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Voxels"
+        }
+    ],
+    "https://github.com/DannyStone1999/ComfyUI-Depth2Mask/raw/main/Depth2Mask.py": [
+        [
+            "Depth2Mask"
+        ],
+        {
+            "title_aux": "ComfyUI-Depth2Mask"
+        }
+    ],
+    "https://github.com/DarKDinDoN/comfyui-checkpoint-automatic-config": [
+        [
+            "CheckpointAutomaticConfig",
+            "ConfigPipe"
+        ],
+        {
+            "title_aux": "ComfyUI Checkpoint Automatic Config"
+        }
+    ],
+    "https://github.com/DataCTE/prompt_injection": [
+        [
+            "AdvancedPromptInjection",
+            "PromptInjection",
+            "SVDPromptInjection",
+            "SimplePromptInjection"
+        ],
+        {
+            "title_aux": "Prompt Injection Node for ComfyUI"
+        }
+    ],
+    "https://github.com/DeJoker/pipeline-parallel-comfy": [
+        [
+            "PipelineParallel"
+        ],
+        {
+            "title_aux": "Pipeline Parallel ComfyUI"
+        }
+    ],
+    "https://github.com/Derfuu/Derfuu_ComfyUI_ModdedNodes": [
+        [],
+        {
+            "author": "Derfuu",
+            "description": "Pack of simple (or not) and modded nodes for scaling images/latents, editing numbers or text. Automate calculations depending on image sizes or any other thing you want. Or randomize any number in your workflow. Debug node included.",
+            "nickname": "Derfuu simple/modded Nodes",
+            "nodename_pattern": "^DF_",
+            "title": "Derfuu simple/modded Nodes",
+            "title_aux": "Derfuu_ComfyUI_ModdedNodes"
+        }
+    ],
+    "https://github.com/Dobidop/ComfyStereo": [
+        [
+            "LazyStereo",
+            "StereoImageNode"
+        ],
+        {
+            "title_aux": "Dobidop ComfyStereo"
+        }
+    ],
+    "https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes": [
+        [
+            "ApplySerialPrompter",
+            "ImageSizer",
+            "SerialPrompter"
+        ],
+        {
+            "author": "CRE8IT GmbH",
+            "description": "This extension offers various nodes.",
+            "nickname": "cre8Nodes",
+            "title": "cr8SerialPrompter",
+            "title_aux": "ComfyUI-Cre8it-Nodes"
+        }
+    ],
+    "https://github.com/DrMWeigand/ComfyUI_ColorImageDetection": [
+        [
+            "LABColorDetection",
+            "RGBColorDetection"
+        ],
+        {
+            "title_aux": "ComfyUI Color Detection Nodes"
+        }
+    ],
+    "https://github.com/EeroHeikkinen/ComfyUI-eesahesNodes": [
+        [
+            "InstantX Flux Union ControlNet Loader"
+        ],
+        {
+            "author": "eesahe",
+            "description": "InstantX's Flux union ControlNet loader and implementation",
+            "nickname": "eesahesNodes",
+            "title": "eesahe's Nodes",
+            "title_aux": "ComfyUI-eesahesNodes"
+        }
+    ],
+    "https://github.com/Electrofried/ComfyUI-OpenAINode": [
+        [
+            "OpenAINode"
+        ],
+        {
+            "title_aux": "OpenAINode"
+        }
+    ],
+    "https://github.com/EllangoK/ComfyUI-post-processing-nodes": [
+        [
+            "ArithmeticBlend",
+            "AsciiArt",
+            "Blend",
+            "Blur",
+            "CannyEdgeMask",
+            "ChromaticAberration",
+            "ColorCorrect",
+            "ColorTint",
+            "Dissolve",
+            "Dither",
+            "DodgeAndBurn",
+            "FilmGrain",
+            "Glow",
+            "HSVThresholdMask",
+            "KMeansQuantize",
+            "KuwaharaBlur",
+            "Parabolize",
+            "PencilSketch",
+            "PixelSort",
+            "Pixelize",
+            "Quantize",
+            "Sharpen",
+            "SineWave",
+            "Solarize",
+            "Vignette"
+        ],
+        {
+            "title_aux": "ComfyUI-post-processing-nodes"
+        }
+    ],
+    "https://github.com/EnragedAntelope/ComfyUI-Doubutsu-Describer": [
+        [
+            "DoubutsuDescriber"
+        ],
+        {
+            "title_aux": "ComfyUI-Doubutsu-Describer"
+        }
+    ],
+    "https://github.com/Excidos/ComfyUI-Documents": [
+        [
+            "ChunkRouter",
+            "DocumentLoader",
+            "ImageSelector",
+            "PDFPageSplitter",
+            "PDFToImage",
+            "TextChunker"
+        ],
+        {
+            "title_aux": "ComfyUI-Documents"
+        }
+    ],
+    "https://github.com/Excidos/ComfyUI-Lumina-Next-SFT-DiffusersWrapper": [
+        [
+            "LuminaDiffusersNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Lumina-Next-SFT-DiffusersWrapper"
+        }
+    ],
+    "https://github.com/ExponentialML/ComfyUI_ModelScopeT2V": [
+        [
+            "ModelScopeT2VLoader"
+        ],
+        {
+            "title_aux": "ComfyUI_ModelScopeT2V"
+        }
+    ],
+    "https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter": [
+        [
+            "DynamiCrafterLoader",
+            "DynamiCrafterProcessor"
+        ],
+        {
+            "title_aux": "ComfyUI - Native DynamiCrafter"
+        }
+    ],
+    "https://github.com/ExponentialML/ComfyUI_VisualStylePrompting": [
+        [
+            "ApplyVisualStyle"
+        ],
+        {
+            "title_aux": "ComfyUI_VisualStylePrompting"
+        }
+    ],
+    "https://github.com/Extraltodeus/ComfyUI-AutomaticCFG": [
+        [
+            "Automatic CFG",
+            "Automatic CFG - Advanced",
+            "Automatic CFG - Attention modifiers",
+            "Automatic CFG - Attention modifiers tester",
+            "Automatic CFG - Custom attentions",
+            "Automatic CFG - Excellent attention",
+            "Automatic CFG - Negative",
+            "Automatic CFG - Post rescale only",
+            "Automatic CFG - Preset Loader",
+            "Automatic CFG - Unpatch function",
+            "Automatic CFG - Warp Drive",
+            "SAG delayed activation",
+            "Temperature separate settings CLIP SDXL",
+            "Temperature settings CLIP",
+            "Temperature settings SD 1.5",
+            "Temperature settings SDXL",
+            "Zero Uncond CFG - standalone patch (incompatible with the others)"
+        ],
+        {
+            "title_aux": "ComfyUI-AutomaticCFG"
+        }
+    ],
+    "https://github.com/Extraltodeus/LoadLoraWithTags": [
+        [
+            "LoraLoaderTagsQuery"
+        ],
+        {
+            "title_aux": "LoadLoraWithTags"
+        }
+    ],
+    "https://github.com/Extraltodeus/Skimmed_CFG": [
+        [
+            "Skimmed CFG",
+            "Skimmed CFG - Difference CFG",
+            "Skimmed CFG - linear interpolation",
+            "Skimmed CFG - linear interpolation dual scales",
+            "Skimmed CFG - replace"
+        ],
+        {
+            "title_aux": "Skimmed_CFG"
+        }
+    ],
+    "https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings": [
+        [
+            "CLIP Temperature",
+            "Unet Temperature"
+        ],
+        {
+            "title_aux": "Stable-Diffusion-temperature-settings"
+        }
+    ],
+    "https://github.com/Extraltodeus/Uncond-Zero-for-ComfyUI": [
+        [
+            "Conditioning combine positive and negative",
+            "Conditioning crop or fill",
+            "Uncond Zero",
+            "interrupt on NaN"
+        ],
+        {
+            "title_aux": "Uncond-Zero-for-ComfyUI"
+        }
+    ],
+    "https://github.com/Extraltodeus/Vector_Sculptor_ComfyUI": [
+        [
+            "CLIP Vector Sculptor text encode",
+            "Conditioning (Average keep magnitude)",
+            "Conditioning (Slerp)",
+            "Conditioning SDXL merge clip_g / clip_l",
+            "Conditioning normalize magnitude to empty"
+        ],
+        {
+            "title_aux": "Vector_Sculptor_ComfyUI"
+        }
+    ],
+    "https://github.com/Extraltodeus/noise_latent_perlinpinpin": [
+        [
+            "NoisyLatentPerlin",
+            "NoisyLatentPerlin16ch"
+        ],
+        {
+            "title_aux": "noise latent perlinpinpin"
+        }
+    ],
+    "https://github.com/Extraltodeus/sigmas_tools_and_the_golden_scheduler": [
+        [
+            "Aligned Scheduler",
+            "Gaussian Tail Scheduler",
+            "Get sigmas as float",
+            "Graph sigmas",
+            "Manual scheduler",
+            "Merge many sigmas by average",
+            "Merge sigmas by average",
+            "Merge sigmas gradually",
+            "Multiply sigmas",
+            "Output min/max sigmas",
+            "Split and concatenate sigmas",
+            "The Golden Scheduler"
+        ],
+        {
+            "title_aux": "sigmas_tools_and_the_golden_scheduler"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-Frame-Interpolation": [
+        [
+            "AMT VFI",
+            "CAIN VFI",
+            "FILM VFI",
+            "FLAVR VFI",
+            "GMFSS Fortuna VFI",
+            "IFRNet VFI",
+            "IFUnet VFI",
+            "KSampler Gradually Adding More Denoise (efficient)",
+            "M2M VFI",
+            "Make Interpolation State List",
+            "RIFE VFI",
+            "STMFNet VFI",
+            "Sepconv VFI",
+            "VFI FloatToInt"
+        ],
+        {
+            "title_aux": "ComfyUI Frame Interpolation"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-Loopchain": [
+        [
+            "EmptyLatentImageLoop",
+            "FolderToImageStorage",
+            "ImageStorageExportLoop",
+            "ImageStorageImport",
+            "ImageStorageReset",
+            "LatentStorageExportLoop",
+            "LatentStorageImport",
+            "LatentStorageReset"
+        ],
+        {
+            "title_aux": "ComfyUI Loopchain"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-MagickWand": [
+        [
+            "ImageMagick Adaptive Blur",
+            "ImageMagick Adaptive Resize",
+            "ImageMagick Adaptive Sharpen",
+            "ImageMagick Adaptive Threshold",
+            "ImageMagick Auto Gamma",
+            "ImageMagick Auto Level",
+            "ImageMagick Auto Orient",
+            "ImageMagick Auto Threshold",
+            "ImageMagick Blue Shift",
+            "ImageMagick Blur",
+            "ImageMagick Brightness Contrast",
+            "ImageMagick Canny",
+            "ImageMagick Charcoal",
+            "ImageMagick Chop",
+            "ImageMagick Clahe",
+            "ImageMagick Clamp",
+            "ImageMagick Coalesce",
+            "ImageMagick Color Decision List",
+            "ImageMagick Color Matrix",
+            "ImageMagick Combine",
+            "ImageMagick Concat",
+            "ImageMagick Contrast",
+            "ImageMagick Contrast Stretch",
+            "ImageMagick Crop",
+            "ImageMagick Cycle Color Map",
+            "ImageMagick Decipher",
+            "ImageMagick Despeckle",
+            "ImageMagick Distort",
+            "ImageMagick Edge",
+            "ImageMagick Emboss",
+            "ImageMagick Encipher",
+            "ImageMagick Enhance",
+            "ImageMagick Equalize",
+            "ImageMagick Evaluate",
+            "ImageMagick Extent",
+            "ImageMagick Flip",
+            "ImageMagick Flop",
+            "ImageMagick Forward Fourier Transform",
+            "ImageMagick Function",
+            "ImageMagick Gamma",
+            "ImageMagick Gaussian Blur",
+            "ImageMagick Hough Lines",
+            "ImageMagick Implode",
+            "ImageMagick Kmeans",
+            "ImageMagick Kuwahara",
+            "ImageMagick Level",
+            "ImageMagick Levelize",
+            "ImageMagick Linear Stretch",
+            "ImageMagick Liquid Rescale",
+            "ImageMagick Local Contrast",
+            "ImageMagick Magnify",
+            "ImageMagick Mean Shift",
+            "ImageMagick Merge Layers",
+            "ImageMagick Mode",
+            "ImageMagick Modulate",
+            "ImageMagick Morphology",
+            "ImageMagick Motion Blur",
+            "ImageMagick Negate",
+            "ImageMagick Noise",
+            "ImageMagick Normalize",
+            "ImageMagick Oil Paint",
+            "ImageMagick Ordered Dither",
+            "ImageMagick Polynomial",
+            "ImageMagick Posterize",
+            "ImageMagick Quantize",
+            "ImageMagick Random Threshold",
+            "ImageMagick Range Threshold",
+            "ImageMagick Resample",
+            "ImageMagick Resize",
+            "ImageMagick Roll",
+            "ImageMagick Rotational Blur",
+            "ImageMagick Sample",
+            "ImageMagick Scale",
+            "ImageMagick Selective Blur",
+            "ImageMagick Sepia Tone",
+            "ImageMagick Shade",
+            "ImageMagick Shadow",
+            "ImageMagick Sharpen",
+            "ImageMagick Shave",
+            "ImageMagick Sigmoidal Contrast",
+            "ImageMagick Sketch",
+            "ImageMagick Smush",
+            "ImageMagick Solarize",
+            "ImageMagick Splice",
+            "ImageMagick Spread",
+            "ImageMagick Statistic",
+            "ImageMagick Swirl",
+            "ImageMagick Threshold",
+            "ImageMagick Thumbnail",
+            "ImageMagick Transform",
+            "ImageMagick Transform Colorspace",
+            "ImageMagick Transparentize",
+            "ImageMagick Transpose",
+            "ImageMagick Transverse",
+            "ImageMagick Unsharp Mask",
+            "ImageMagick Vignette",
+            "ImageMagick Wave",
+            "ImageMagick Wavelet Denoise",
+            "ImageMagick White Balance"
+        ],
+        {
+            "title_aux": "ComfyUI-MagickWand"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-MotionDiff": [
+        [
+            "EmptyMotionData",
+            "ExportSMPLTo3DSoftware",
+            "Export_SMPLMultipleSubjects_To_3DSoftware",
+            "Human4D_Img2SMPL",
+            "Humans4DLoader",
+            "MotionCLIPTextEncode",
+            "MotionDataVisualizer",
+            "MotionDiffLoader",
+            "MotionDiffSimpleSampler",
+            "RenderMultipleSubjectsSMPLMesh",
+            "RenderSMPLMesh",
+            "Render_OpenPose_From_SMPL_Mesh_Multiple_Subjects",
+            "SMPLLoader",
+            "SMPLShapeParameters",
+            "SaveSMPL",
+            "SmplifyMotionData",
+            "SpectreFaceReconLoader",
+            "SpectreImg2SMPL",
+            "mgpt_model_loader",
+            "mgpt_t2m"
+        ],
+        {
+            "title_aux": "ComfyUI MotionDiff"
+        }
+    ],
+    "https://github.com/Fannovel16/ComfyUI-Video-Matting": [
+        [
+            "BRIAAI Matting",
+            "Robust Video Matting"
+        ],
+        {
+            "title_aux": "ComfyUI-Video-Matting"
+        }
+    ],
+    "https://github.com/Fannovel16/comfyui_controlnet_aux": [
+        [
+            "AIO_Preprocessor",
+            "AnimalPosePreprocessor",
+            "AnimeFace_SemSegPreprocessor",
+            "AnimeLineArtPreprocessor",
+            "AnyLineArtPreprocessor_aux",
+            "BAE-NormalMapPreprocessor",
+            "BinaryPreprocessor",
+            "CannyEdgePreprocessor",
+            "ColorPreprocessor",
+            "ControlNetAuxSimpleAddText",
+            "ControlNetPreprocessorSelector",
+            "DSINE-NormalMapPreprocessor",
+            "DWPreprocessor",
+            "DensePosePreprocessor",
+            "DepthAnythingPreprocessor",
+            "DepthAnythingV2Preprocessor",
+            "DiffusionEdge_Preprocessor",
+            "ExecuteAllControlNetPreprocessors",
+            "FacialPartColoringFromPoseKps",
+            "FakeScribblePreprocessor",
+            "HEDPreprocessor",
+            "HintImageEnchance",
+            "ImageGenResolutionFromImage",
+            "ImageGenResolutionFromLatent",
+            "ImageIntensityDetector",
+            "ImageLuminanceDetector",
+            "InpaintPreprocessor",
+            "LeReS-DepthMapPreprocessor",
+            "LineArtPreprocessor",
+            "LineartStandardPreprocessor",
+            "M-LSDPreprocessor",
+            "Manga2Anime_LineArt_Preprocessor",
+            "MaskOptFlow",
+            "MediaPipe-FaceMeshPreprocessor",
+            "MeshGraphormer+ImpactDetector-DepthMapPreprocessor",
+            "MeshGraphormer-DepthMapPreprocessor",
+            "Metric3D-DepthMapPreprocessor",
+            "Metric3D-NormalMapPreprocessor",
+            "Metric_DepthAnythingV2Preprocessor",
+            "MiDaS-DepthMapPreprocessor",
+            "MiDaS-NormalMapPreprocessor",
+            "OneFormer-ADE20K-SemSegPreprocessor",
+            "OneFormer-COCO-SemSegPreprocessor",
+            "OpenposePreprocessor",
+            "PiDiNetPreprocessor",
+            "PixelPerfectResolution",
+            "RenderAnimalKps",
+            "RenderPeopleKps",
+            "SAMPreprocessor",
+            "SavePoseKpsAsJsonFile",
+            "ScribblePreprocessor",
+            "Scribble_PiDiNet_Preprocessor",
+            "Scribble_XDoG_Preprocessor",
+            "SemSegPreprocessor",
+            "ShufflePreprocessor",
+            "TEEDPreprocessor",
+            "TTPlanet_TileGF_Preprocessor",
+            "TTPlanet_TileSimple_Preprocessor",
+            "TilePreprocessor",
+            "UniFormer-SemSegPreprocessor",
+            "Unimatch_OptFlowPreprocessor",
+            "UpperBodyTrackingFromPoseKps",
+            "Zoe-DepthMapPreprocessor",
+            "Zoe_DepthAnythingPreprocessor"
+        ],
+        {
+            "author": "tstandley",
+            "preemptions": [
+                "AIO_Preprocessor",
+                "AnimalPosePreprocessor",
+                "AnimeFace_SemSegPreprocessor",
+                "AnimeLineArtPreprocessor",
+                "BAE-NormalMapPreprocessor",
+                "BinaryPreprocessor",
+                "CannyEdgePreprocessor",
+                "ColorPreprocessor",
+                "DSINE-NormalMapPreprocessor",
+                "DWPreprocessor",
+                "DensePosePreprocessor",
+                "DepthAnythingPreprocessor",
+                "DiffusionEdge_Preprocessor",
+                "FacialPartColoringFromPoseKps",
+                "FakeScribblePreprocessor",
+                "HEDPreprocessor",
+                "HintImageEnchance",
+                "ImageGenResolutionFromImage",
+                "ImageGenResolutionFromLatent",
+                "ImageIntensityDetector",
+                "ImageLuminanceDetector",
+                "InpaintPreprocessor",
+                "LeReS-DepthMapPreprocessor",
+                "LineArtPreprocessor",
+                "LineartStandardPreprocessor",
+                "M-LSDPreprocessor",
+                "Manga2Anime_LineArt_Preprocessor",
+                "MaskOptFlow",
+                "MediaPipe-FaceMeshPreprocessor",
+                "MeshGraphormer-DepthMapPreprocessor",
+                "MiDaS-DepthMapPreprocessor",
+                "MiDaS-NormalMapPreprocessor",
+                "OneFormer-ADE20K-SemSegPreprocessor",
+                "OneFormer-COCO-SemSegPreprocessor",
+                "OpenposePreprocessor",
+                "PiDiNetPreprocessor",
+                "PixelPerfectResolution",
+                "SAMPreprocessor",
+                "SavePoseKpsAsJsonFile",
+                "ScribblePreprocessor",
+                "Scribble_XDoG_Preprocessor",
+                "SemSegPreprocessor",
+                "ShufflePreprocessor",
+                "TEEDPreprocessor",
+                "TilePreprocessor",
+                "UniFormer-SemSegPreprocessor",
+                "Unimatch_OptFlowPreprocessor",
+                "Zoe-DepthMapPreprocessor",
+                "Zoe_DepthAnythingPreprocessor"
+            ],
+            "title_aux": "ComfyUI's ControlNet Auxiliary Preprocessors"
+        }
+    ],
+    "https://github.com/Fantaxico/ComfyUI-GCP-Storage": [
+        [
+            "GCPStorageNode"
+        ],
+        {
+            "title_aux": "ComfyUI-GCP-Storage"
+        }
+    ],
+    "https://github.com/Feidorian/feidorian-ComfyNodes": [
+        [],
+        {
+            "nodename_pattern": "^Feidorian_",
+            "title_aux": "feidorian-ComfyNodes"
+        }
+    ],
+    "https://github.com/Fictiverse/ComfyUI_Fictiverse": [
+        [
+            "Add Noise to Image with Mask",
+            "Color correction",
+            "Displace Image with Depth",
+            "Displace Images with Mask",
+            "Zoom Image with Depth"
+        ],
+        {
+            "title_aux": "ComfyUI Fictiverse Nodes"
+        }
+    ],
+    "https://github.com/Fihade/IC-Light-ComfyUI-Node": [
+        [
+            "LoadICLightUnetDiffusers",
+            "diffusers_model_loader",
+            "iclight_diffusers_sampler"
+        ],
+        {
+            "title_aux": "IC-Light-ComfyUI-Node"
+        }
+    ],
+    "https://github.com/FizzleDorf/ComfyUI-AIT": [
+        [
+            "AIT_Unet_Loader",
+            "AIT_VAE_Encode_Loader"
+        ],
+        {
+            "title_aux": "ComfyUI-AIT"
+        }
+    ],
+    "https://github.com/FizzleDorf/ComfyUI_FizzNodes": [
+        [
+            "AbsCosWave",
+            "AbsSinWave",
+            "BatchGLIGENSchedule",
+            "BatchPromptSchedule",
+            "BatchPromptScheduleEncodeSDXL",
+            "BatchPromptScheduleLatentInput",
+            "BatchPromptScheduleNodeFlowEnd",
+            "BatchPromptScheduleSDXLLatentInput",
+            "BatchStringSchedule",
+            "BatchValueSchedule",
+            "BatchValueScheduleLatentInput",
+            "CalculateFrameOffset",
+            "ConcatStringSingle",
+            "CosWave",
+            "FizzFrame",
+            "FizzFrameConcatenate",
+            "ImagesFromBatchSchedule",
+            "Init FizzFrame",
+            "InvCosWave",
+            "InvSinWave",
+            "Lerp",
+            "PromptSchedule",
+            "PromptScheduleEncodeSDXL",
+            "PromptScheduleNodeFlow",
+            "PromptScheduleNodeFlowEnd",
+            "SawtoothWave",
+            "SinWave",
+            "SquareWave",
+            "StringConcatenate",
+            "StringSchedule",
+            "TriangleWave",
+            "ValueSchedule",
+            "convertKeyframeKeysToBatchKeys"
+        ],
+        {
+            "title_aux": "FizzNodes"
+        }
+    ],
+    "https://github.com/FlyingFireCo/tiled_ksampler": [
+        [
+            "Asymmetric Tiled KSampler",
+            "Circular VAEDecode",
+            "Tiled KSampler"
+        ],
+        {
+            "title_aux": "tiled_ksampler"
+        }
+    ],
+    "https://github.com/ForeignGods/ComfyUI-Mana-Nodes": [
+        [
+            "Canvas Properties",
+            "Combine Video",
+            "Font Properties",
+            "Generate Audio",
+            "Preset Color Animations",
+            "Save/Preview Text",
+            "Scheduled Values",
+            "Speech Recognition",
+            "Split Video",
+            "Text to Image Generator"
+        ],
+        {
+            "title_aux": "ComfyUI-Mana-Nodes"
+        }
+    ],
+    "https://github.com/Franck-Demongin/NX_HuggingFace_Flux": [
+        [
+            "HFFlux"
+        ],
+        {
+            "title_aux": "NX_HuggingFace_Flux"
+        }
+    ],
+    "https://github.com/Franck-Demongin/NX_PromptStyler": [
+        [
+            "NX_PromptStyler"
+        ],
+        {
+            "title_aux": "NX_PromptStyler"
+        }
+    ],
+    "https://github.com/Franck-Demongin/NX_Translator": [
+        [
+            "Nx_Translator"
+        ],
+        {
+            "title_aux": "NX_Translator"
+        }
+    ],
+    "https://github.com/FuouM/ComfyUI-EbSynth": [
+        [
+            "ES_Guides7",
+            "ES_Translate",
+            "ES_VideoTransfer",
+            "ES_VideoTransferExtra"
+        ],
+        {
+            "author": "Fuou Marinas",
+            "description": "Run EbSynth in ComfyUI.",
+            "nickname": "EbSynth",
+            "title": "ComfyUI-EbSynth",
+            "title_aux": "ComfyUI-EbSynth"
+        }
+    ],
+    "https://github.com/FuouM/ComfyUI-FirstOrderMM": [
+        [
+            "Articulate_Runner",
+            "FOMM_Partswap",
+            "FOMM_Runner",
+            "FOMM_Seg10Chooser",
+            "FOMM_Seg15Chooser",
+            "FOMM_Seg5Chooser",
+            "FSRT_Runner",
+            "MRFA_Runner",
+            "Spline_Runner"
+        ],
+        {
+            "author": "Fuou Marinas",
+            "description": "ComfyUI-native nodes to run First Order Motion Model for Image Animation and its non-diffusion-based successors.",
+            "nickname": "FOMM",
+            "title": "ComfyUI-FirstOrderMM",
+            "title_aux": "ComfyUI-FirstOrderMM"
+        }
+    ],
+    "https://github.com/FuouM/ComfyUI-StyleTransferPlus": [
+        [
+            "AESFA",
+            "AesFAStyleBlend",
+            "AesPA",
+            "CAST",
+            "CoralColorTransfer",
+            "EFDM",
+            "MicroAST",
+            "NeuralNeighbor",
+            "TSSAT",
+            "UniST",
+            "UniST_Video"
+        ],
+        {
+            "author": "ZJU",
+            "description": "A collection of style transfer nodes.",
+            "nickname": "StyleTransferPlus",
+            "title": "ComfyUI-StyleTransferPlus",
+            "title_aux": "ComfyUI-StyleTransferPlus"
+        }
+    ],
+    "https://github.com/FuouM/FM_nodes": [
+        [
+            "CoLIE_LowLight_Enhance",
+            "ConvIR_DeHaze",
+            "ConvIR_DeRain",
+            "ConvIR_DeSnow",
+            "ConvIR_DefocusDeblur",
+            "ConvIR_MotionDeBlur",
+            "ProPIH_Harmonizer",
+            "RealViFormerSR",
+            "StabStitch",
+            "StabStitch_Crop_Resize",
+            "StabStitch_Stabilize",
+            "WFEN"
+        ],
+        {
+            "author": "Fuou Marinas",
+            "description": "A collection of nodes.",
+            "nickname": "FM_nodes",
+            "title": "FM Nodes",
+            "title_aux": "FM_nodes"
+        }
+    ],
+    "https://github.com/G-370/ComfyUI-SD3-Powerlab": [
+        [
+            "G370SD3PowerLab_AttentionToImage",
+            "G370SD3PowerLab_ImageIntoAttention",
+            "G370SD3PowerLab_ImageIntoLayer",
+            "G370SD3PowerLab_LayerToImage",
+            "G370SD3PowerLab_RenderAttention"
+        ],
+        {
+            "title_aux": "ComfyUI-SD3-Powerlab"
+        }
+    ],
+    "https://github.com/GMapeSplat/ComfyUI_ezXY": [
+        [
+            "ConcatenateString",
+            "ItemFromDropdown",
+            "IterationDriver",
+            "JoinImages",
+            "LineToConsole",
+            "NumberFromList",
+            "NumbersToList",
+            "PlotImages",
+            "StringFromList",
+            "StringToLabel",
+            "StringsToList",
+            "ezMath",
+            "ezXY_AssemblePlot",
+            "ezXY_Driver"
+        ],
+        {
+            "title_aux": "ezXY scripts and nodes"
+        }
+    ],
+    "https://github.com/GTSuya-Studio/ComfyUI-Gtsuya-Nodes": [
+        [
+            "Danbooru (ID)",
+            "Danbooru (Random)",
+            "Random File From Path",
+            "Replace Strings",
+            "Simple Wildcards",
+            "Simple Wildcards (Dir.)",
+            "Wildcards Nodes"
+        ],
+        {
+            "title_aux": "ComfyUI-GTSuya-Nodes"
+        }
+    ],
+    "https://github.com/GavChap/ComfyUI-SD3LatentSelectRes": [
+        [
+            "SD3LatentSelectRes"
+        ],
+        {
+            "title_aux": "ComfyUI-SD3LatentSelectRes"
+        }
+    ],
+    "https://github.com/GeekyGhost/ComfyUI-GeekyRemB": [
+        [
+            "GeekyRemB"
+        ],
+        {
+            "title_aux": "ComfyUI-GeekyRemB"
+        }
+    ],
+    "https://github.com/GentlemanHu/ComfyUI-SunoAI": [
+        [
+            "GentlemanHu_SunoAI",
+            "GentlemanHu_SunoAI_NotSafe"
+        ],
+        {
+            "title_aux": "ComfyUI Suno API"
+        }
+    ],
+    "https://github.com/Goktug/comfyui-saveimage-plus": [
+        [
+            "SaveImagePlus"
+        ],
+        {
+            "title_aux": "Save Image Plus for ComfyUI"
+        }
+    ],
+    "https://github.com/Gourieff/comfyui-reactor-node": [
+        [
+            "ImageRGBA2RGB",
+            "ReActorBuildFaceModel",
+            "ReActorFaceBoost",
+            "ReActorFaceSwap",
+            "ReActorFaceSwapOpt",
+            "ReActorImageDublicator",
+            "ReActorLoadFaceModel",
+            "ReActorMakeFaceModelBatch",
+            "ReActorMaskHelper",
+            "ReActorOptions",
+            "ReActorRestoreFace",
+            "ReActorSaveFaceModel"
+        ],
+        {
+            "title_aux": "ReActor Node for ComfyUI"
+        }
+    ],
+    "https://github.com/GraftingRayman/ComfyUI_GraftingRayman": [
+        [
+            "GR Background Remover REMBG",
+            "GR Checkered Board",
+            "GR Counter",
+            "GR Flip Tile Random Inverted",
+            "GR Flip Tile Random Red Ring",
+            "GR Image Details Displayer",
+            "GR Image Details Saver",
+            "GR Image Paste",
+            "GR Image Paste With Mask",
+            "GR Image Resize",
+            "GR Image Resize Methods",
+            "GR Image Size",
+            "GR Image/Depth Mask",
+            "GR Mask Create",
+            "GR Mask Create Random",
+            "GR Mask Create Random Multi",
+            "GR Mask Resize",
+            "GR Multi Mask Create",
+            "GR Onomatopoeia",
+            "GR Prompt HUB",
+            "GR Prompt Selector",
+            "GR Prompt Selector Multi",
+            "GR Scroller",
+            "GR Stack Image",
+            "GR Text Overlay",
+            "GR Tile and Border Image",
+            "GR Tile and Border Image Random Flip"
+        ],
+        {
+            "title_aux": "GraftingRayman"
+        }
+    ],
+    "https://github.com/GreenLandisaLie/AuraSR-ComfyUI": [
+        [
+            "AuraSR.AuraSRUpscaler"
+        ],
+        {
+            "title_aux": "AuraSR-ComfyUI"
+        }
+    ],
+    "https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio": [
+        [
+            "StableCascadeLatentRatio"
+        ],
+        {
+            "title_aux": "ComfyUI_StableCascadeLatentRatio"
+        }
+    ],
+    "https://github.com/HAL41/ComfyUI-aichemy-nodes": [
+        [
+            "aichemyYOLOv8Segmentation"
+        ],
+        {
+            "title_aux": "ComfyUI aichemy nodes"
+        }
+    ],
+    "https://github.com/HECer/ComfyUI-FilePathCreator": [
+        [
+            "FilePathCreator"
+        ],
+        {
+            "title_aux": "ComfyUI-FilePathCreator"
+        }
+    ],
+    "https://github.com/Hangover3832/ComfyUI-Hangover-Moondream": [
+        [
+            "Moondream Interrogator"
+        ],
+        {
+            "author": "AlexL",
+            "description": "An implementation of the moondream visual LLM",
+            "nickname": "Hangover-Moondream",
+            "title": "ComfyUI-Hangover-Moondream",
+            "title_aux": "ComfyUI-Hangover-Moondream"
+        }
+    ],
+    "https://github.com/Hangover3832/ComfyUI-Hangover-Nodes": [
+        [
+            "Image Scale Bounding Box",
+            "MS kosmos-2 Interrogator",
+            "Make Inpaint Model",
+            "Save Image w/o Metadata"
+        ],
+        {
+            "author": "AlexL",
+            "description": "Display, save or not save image, with or without extra metadata.",
+            "nickname": "Hangover-Save_Image_Extra_Metadata",
+            "title": "ComfyUI-Hangover-Save_Image",
+            "title_aux": "ComfyUI-Hangover-Nodes"
+        }
+    ],
+    "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything": [
+        [
+            "Recognize Anything Model (RAM)"
+        ],
+        {
+            "author": "AlexL",
+            "description": "An implementation of the Recognize Anything Model (RAM++) for ComfyUI. The counterpart of Segment Anything Model (SAM).",
+            "nickname": "Hangover-Recognize_Anything",
+            "title": "ComfyUI-Hangover-Recognize_Anything",
+            "title_aux": "Recognize Anything Model (RAM) for ComfyUI"
+        }
+    ],
+    "https://github.com/Haoming02/comfyui-diffusion-cg": [
+        [
+            "Normalization",
+            "Recenter",
+            "Recenter XL"
+        ],
+        {
+            "title_aux": "Diffusion CG"
+        }
+    ],
+    "https://github.com/Haoming02/comfyui-floodgate": [
+        [
+            "FloodGate"
+        ],
+        {
+            "title_aux": "Floodgate"
+        }
+    ],
+    "https://github.com/Haoming02/comfyui-resharpen": [
+        [
+            "Resharpen"
+        ],
+        {
+            "title_aux": "ComfyUI ReSharpen"
+        }
+    ],
+    "https://github.com/HaydenReeve/ComfyUI-Better-Strings": [
+        [
+            "BetterString"
+        ],
+        {
+            "title_aux": "ComfyUI Better Strings"
+        }
+    ],
+    "https://github.com/HeadshotPro/ComfyUI-HeadshotPro": [
+        [
+            "[HSP] Download Dreambooth Checkpoint",
+            "[HSP] Download Flux Lora",
+            "[HSP] Get Random Value From List",
+            "[HSP] Load Canny Pose Face",
+            "[HSP] Transparent to White Background"
+        ],
+        {
+            "title_aux": "ComfyUI-HeadshotPro"
+        }
+    ],
+    "https://github.com/HebelHuber/comfyui-enhanced-save-node": [
+        [
+            "EnhancedSaveNode"
+        ],
+        {
+            "title_aux": "comfyui-enhanced-save-node"
+        }
+    ],
+    "https://github.com/Hellrunner2k/ComfyUI-HellrunnersMagicalNodes": [
+        [
+            "MagicalSaveNode",
+            "ThermalLatenator"
+        ],
+        {
+            "title_aux": "Hellrunner's Magical Nodes"
+        }
+    ],
+    "https://github.com/Hiero207/ComfyUI-Hiero-Nodes": [
+        [
+            "Load Prompt Travel file",
+            "Post to Discord w/ Webhook",
+            "Save Prompt Travel file"
+        ],
+        {
+            "author": "Hiero",
+            "description": "Just some nodes that I wanted/needed, so I made them.",
+            "nickname": "HNodes",
+            "title": "Hiero-Nodes",
+            "title_aux": "Hiero-Nodes"
+        }
+    ],
+    "https://github.com/IDGallagher/ComfyUI-IG-Nodes": [
+        [
+            "IG Analyze SSIM",
+            "IG Cross Fade Images",
+            "IG Explorer",
+            "IG Float",
+            "IG Float List",
+            "IG Folder",
+            "IG Int",
+            "IG Interpolate",
+            "IG Load Image",
+            "IG Load Images",
+            "IG MotionPredictor",
+            "IG Multiply",
+            "IG Path Join",
+            "IG String",
+            "IG String List",
+            "IG ZFill"
+        ],
+        {
+            "author": "IDGallagher",
+            "description": "Custom nodes to aid in the exploration of Latent Space",
+            "nickname": "IG Interpolation Nodes",
+            "title": "IG Interpolation Nodes",
+            "title_aux": "IG Interpolation Nodes"
+        }
+    ],
+    "https://github.com/ITurchenko/ComfyUI-SizeFromArray": [
+        [
+            "SizeFromArray"
+        ],
+        {
+            "title_aux": "ComfyUI-SizeFromArray"
+        }
+    ],
+    "https://github.com/ImmortalPie/ComfyUI-PonySwitch/raw/main/PonySwitch.py": [
+        [
+            "PonySwitch"
+        ],
+        {
+            "title_aux": "PonySwitch Node"
+        }
+    ],
+    "https://github.com/Intersection98/ComfyUI_MX_post_processing-nodes": [
+        [
+            "MX_AlphaBlend",
+            "MX_Blend",
+            "MX_Blur",
+            "MX_Canny",
+            "MX_ChromaticAberration",
+            "MX_ColorCorrect",
+            "MX_ColorMatch",
+            "MX_ColorTint",
+            "MX_Glow",
+            "MX_HSVThresholdMask",
+            "MX_KuwaharaBlur(Cartoon)",
+            "MX_LUT",
+            "MX_LensBokeh",
+            "MX_LensOpticAxis",
+            "MX_LensZoomBurst",
+            "MX_Mosaic",
+            "MX_Noise",
+            "MX_Posterize",
+            "MX_SineWave",
+            "MX_Solarize",
+            "MX_Vignette"
+        ],
+        {
+            "title_aux": "ComfyUI-MX-post-processing-nodes"
+        }
+    ],
+    "https://github.com/Inzaniak/comfyui-ranbooru": [
+        [
+            "LockSeed",
+            "PromptBackground",
+            "PromptLimit",
+            "PromptMix",
+            "PromptRandomWeight",
+            "PromptRemove",
+            "Ranbooru",
+            "RanbooruURL",
+            "RandomPicturePath",
+            "TimestampFileName"
+        ],
+        {
+            "title_aux": "Ranbooru for ComfyUI"
+        }
+    ],
+    "https://github.com/IsItDanOrAi/ComfyUI-Stereopsis": [
+        [
+            "Dan_FrameDelay",
+            "Dan_Stereopsis"
+        ],
+        {
+            "title_aux": "ComfyUI-Stereopsis"
+        }
+    ],
+    "https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants": [
+        [
+            "LineArt_Assistant",
+            "LineArt_Assistant_2",
+            "Sketch_Assistant",
+            "Sketch_Assistant_grayScale"
+        ],
+        {
+            "title_aux": "ComfyUI-Img2DrawingAssistants"
+        }
+    ],
+    "https://github.com/Isi-dev/ComfyUI-UniAnimate-W": [
+        [
+            "Gen_align_pose",
+            "UniAnimateImage"
+        ],
+        {
+            "title_aux": "UniAnimate Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4": [
+        [
+            "DisplayText",
+            "LoadVideo",
+            "MiniCPM_VQA",
+            "MiniCPM_VQA_Polished",
+            "MultipleImagesInput",
+            "PreviewVideo"
+        ],
+        {
+            "title_aux": "ComfyUI_MiniCPM-V-2_6-int4"
+        }
+    ],
+    "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-Audio-7B-Instruct-Int4": [
+        [
+            "AudioLoader",
+            "AudioPreviewer",
+            "Qwen2_AQA"
+        ],
+        {
+            "title_aux": "ComfyUI_Qwen2-Audio-7B-Instruct-Int4"
+        }
+    ],
+    "https://github.com/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct": [
+        [
+            "ImageLoader",
+            "MultiplePathsInput",
+            "Qwen2_VQA"
+        ],
+        {
+            "title_aux": "ComfyUI_Qwen2-VL-Instruct"
+        }
+    ],
+    "https://github.com/JPS-GER/ComfyUI_JPS-Nodes": [
+        [
+            "CLIPTextEncode SDXL Plus (JPS)",
+            "Conditioning Switch (JPS)",
+            "ControlNet Switch (JPS)",
+            "Crop Image Pipe (JPS)",
+            "Crop Image Settings (JPS)",
+            "Crop Image Square (JPS)",
+            "Crop Image TargetSize (JPS)",
+            "CtrlNet CannyEdge Pipe (JPS)",
+            "CtrlNet CannyEdge Settings (JPS)",
+            "CtrlNet MiDaS Pipe (JPS)",
+            "CtrlNet MiDaS Settings (JPS)",
+            "CtrlNet OpenPose Pipe (JPS)",
+            "CtrlNet OpenPose Settings (JPS)",
+            "CtrlNet ZoeDepth Pipe (JPS)",
+            "CtrlNet ZoeDepth Settings (JPS)",
+            "Disable Enable Switch (JPS)",
+            "Enable Disable Switch (JPS)",
+            "Generation TXT IMG Settings (JPS)",
+            "Get Date Time String (JPS)",
+            "Get Image Size (JPS)",
+            "IP Adapter Settings (JPS)",
+            "IP Adapter Settings Pipe (JPS)",
+            "IP Adapter Tiled Settings (JPS)",
+            "IP Adapter Tiled Settings Pipe (JPS)",
+            "IPA Switch (JPS)",
+            "Image Prepare Pipe (JPS)",
+            "Image Prepare Settings (JPS)",
+            "Image Switch (JPS)",
+            "ImageToImage Pipe (JPS)",
+            "ImageToImage Settings (JPS)",
+            "Images Masks MultiPipe (JPS)",
+            "InstantID Mask Prepare Pipe (JPS)",
+            "InstantID Mask Prepare Settings (JPS)",
+            "InstantID Pipe (JPS)",
+            "InstantID Pose Prepare Pipe (JPS)",
+            "InstantID Pose Prepare Settings (JPS)",
+            "InstantID Settings (JPS)",
+            "InstantID Source Prepare Pipe (JPS)",
+            "InstantID Source Prepare Settings (JPS)",
+            "Integer Switch (JPS)",
+            "Largest Int (JPS)",
+            "Latent Switch (JPS)",
+            "Lora Loader (JPS)",
+            "Mask Switch (JPS)",
+            "Model Switch (JPS)",
+            "Multiply Float Float (JPS)",
+            "Multiply Int Float (JPS)",
+            "Multiply Int Int (JPS)",
+            "Prepare Image (JPS)",
+            "Prepare Image Plus (JPS)",
+            "Prepare Image Tiled IPA (JPS)",
+            "Resolution Multiply (JPS)",
+            "Revision Settings (JPS)",
+            "Revision Settings Pipe (JPS)",
+            "SDXL Basic Settings (JPS)",
+            "SDXL Basic Settings Pipe (JPS)",
+            "SDXL Fundamentals MultiPipe (JPS)",
+            "SDXL Prompt Handling (JPS)",
+            "SDXL Prompt Handling Plus (JPS)",
+            "SDXL Prompt Styler (JPS)",
+            "SDXL Recommended Resolution Calc (JPS)",
+            "SDXL Resolutions (JPS)",
+            "SDXL Settings (JPS)",
+            "SDXL Settings Pipe (JPS)",
+            "Sampler Scheduler Settings (JPS)",
+            "Save Images Plus (JPS)",
+            "Substract Int Int (JPS)",
+            "Text Concatenate (JPS)",
+            "Text Prompt (JPS)",
+            "Text Prompt Combo (JPS)",
+            "Time Seed (JPS)",
+            "VAE Switch (JPS)"
+        ],
+        {
+            "author": "JPS",
+            "description": "Various nodes to handle SDXL Resolutions, SDXL Basic Settings, IP Adapter Settings, Revision Settings, SDXL Prompt Styler, Crop Image to Square, Crop Image to Target Size, Get Date-Time String, Resolution Multiply, Largest Integer, 5-to-1 Switches for Integer, Images, Latents, Conditioning, Model, VAE, ControlNet",
+            "nickname": "JPS Custom Nodes",
+            "title": "JPS Custom Nodes for ComfyUI",
+            "title_aux": "JPS Custom Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/JPrevots/ComfyUI-PhyCV": [
+        [
+            "PAGE",
+            "PST",
+            "VEVID"
+        ],
+        {
+            "title_aux": "ComfyUI-PhyCV"
+        }
+    ],
+    "https://github.com/JackEllie/ComfyUI_AI_Assistant": [
+        [
+            "apply_lighting_effects",
+            "clean_prompt_tags",
+            "noline_process",
+            "prompt_blacklist",
+            "prompt_sorting",
+            "resize_image_sdxl_ratio"
+        ],
+        {
+            "title_aux": "ComfyUI-AI-Assistant"
+        }
+    ],
+    "https://github.com/Jannchie/ComfyUI-J": [
+        [
+            "DiffusersCompelPromptEmbedding",
+            "DiffusersControlnetLoader",
+            "DiffusersControlnetUnit",
+            "DiffusersControlnetUnitStack",
+            "DiffusersDecoder",
+            "DiffusersGenerator",
+            "DiffusersPipeline",
+            "DiffusersPrepareLatents",
+            "DiffusersTextureInversionLoader",
+            "DiffusersXLPipeline",
+            "GetAverageColorFromImage",
+            "GetFilledColorImage"
+        ],
+        {
+            "title_aux": "ComfyUI-J"
+        }
+    ],
+    "https://github.com/JaredTherriault/ComfyUI-JNodes": [
+        [
+            "JNodes_AddOrSetMetaDataKey",
+            "JNodes_AnyToString",
+            "JNodes_AppendReversedFrames",
+            "JNodes_BooleanSelectorWithString",
+            "JNodes_BreakMediaInfo",
+            "JNodes_CheckpointSelectorWithString",
+            "JNodes_ConditioningInOut",
+            "JNodes_CreateStereoscopicImageFromDepth",
+            "JNodes_FloatLiteral",
+            "JNodes_GetCleanFilename",
+            "JNodes_GetComfyDirectory",
+            "JNodes_GetLeafDirectory",
+            "JNodes_GetOutputDirectory",
+            "JNodes_GetParameterFromList",
+            "JNodes_GetParameterGlobal",
+            "JNodes_GetTempDirectory",
+            "JNodes_ImageFormatSelector",
+            "JNodes_ImageSizeSelector",
+            "JNodes_IntLiteral",
+            "JNodes_LoadVideo",
+            "JNodes_LoadVisualMediaFromPath",
+            "JNodes_LoadVisualMediaFromPath_Batch",
+            "JNodes_LoraExtractor",
+            "JNodes_MediaInfoToString",
+            "JNodes_ModelInOut",
+            "JNodes_OutVideoInfo",
+            "JNodes_ParseDynamicPrompts",
+            "JNodes_ParseParametersToGlobalList",
+            "JNodes_ParseWildcards",
+            "JNodes_PromptBuilderSingleSubject",
+            "JNodes_RemoveCommentedText",
+            "JNodes_RemoveMetaDataKey",
+            "JNodes_RemoveParseableDataForInference",
+            "JNodes_SamplerSelectorWithString",
+            "JNodes_SaveImageWithOutput",
+            "JNodes_SaveVideo",
+            "JNodes_SchedulerSelectorWithString",
+            "JNodes_SearchAndReplace",
+            "JNodes_SearchAndReplaceFromFile",
+            "JNodes_SearchAndReplaceFromList",
+            "JNodes_SelectRandomFileFromDirectory",
+            "JNodes_SetNegativePromptInMetaData",
+            "JNodes_SetPositivePromptInMetaData",
+            "JNodes_SplitAndJoin",
+            "JNodes_StringLiteral",
+            "JNodes_SubdirectorySelector",
+            "JNodes_SyncedStringLiteral",
+            "JNodes_TokenCounter",
+            "JNodes_TrimAndStrip",
+            "JNodes_UploadVideo",
+            "JNodes_UploadVisualMedia",
+            "JNodes_VaeSelectorWithString"
+        ],
+        {
+            "title_aux": "ComfyUI-JNodes"
+        }
+    ],
+    "https://github.com/JayLyu/ComfyUI_BaiKong_Node": [
+        [
+            "BK_ColorContrast",
+            "BK_ColorLimit",
+            "BK_ColorSelector",
+            "BK_GradientImage",
+            "BK_ImageFilterByAspectRatio",
+            "BK_Img2Color"
+        ],
+        {
+            "title_aux": "ComfyUI_BaiKong_Node"
+        }
+    ],
+    "https://github.com/JcandZero/ComfyUI_GLM4Node": [
+        [
+            "GLM3_turbo_CHAT",
+            "GLM4_CHAT",
+            "GLM4_Vsion_IMGURL"
+        ],
+        {
+            "title_aux": "ComfyUI_GLM4Node"
+        }
+    ],
+    "https://github.com/Jcd1230/rembg-comfyui-node": [
+        [
+            "Image Remove Background (rembg)"
+        ],
+        {
+            "title_aux": "Rembg Background Removal Node for ComfyUI"
+        }
+    ],
+    "https://github.com/JerryOrbachJr/ComfyUI-RandomSize": [
+        [
+            "JOJR_RandomSize"
+        ],
+        {
+            "author": "JerryOrbachJr",
+            "description": "A ComfyUI custom node that randomly selects a height and width pair from a list in a config file",
+            "nickname": "Random Size",
+            "title": "Random Size",
+            "title_aux": "Random Size"
+        }
+    ],
+    "https://github.com/JettHu/ComfyUI-TCD": [
+        [
+            "TCDModelSamplingDiscrete"
+        ],
+        {
+            "title_aux": "ComfyUI-TCD"
+        }
+    ],
+    "https://github.com/JettHu/ComfyUI_TGate": [
+        [
+            "TGateApply",
+            "TGateApplyAdvanced",
+            "TGateApplySimple"
+        ],
+        {
+            "title_aux": "ComfyUI_TGate"
+        }
+    ],
+    "https://github.com/Jordach/comfy-plasma": [
+        [
+            "JDC_AutoContrast",
+            "JDC_BlendImages",
+            "JDC_BrownNoise",
+            "JDC_Contrast",
+            "JDC_EqualizeGrey",
+            "JDC_GaussianBlur",
+            "JDC_GreyNoise",
+            "JDC_Greyscale",
+            "JDC_ImageLoader",
+            "JDC_ImageLoaderMeta",
+            "JDC_PinkNoise",
+            "JDC_Plasma",
+            "JDC_PlasmaSampler",
+            "JDC_PowerImage",
+            "JDC_RandNoise",
+            "JDC_ResizeFactor"
+        ],
+        {
+            "title_aux": "comfy-plasma"
+        }
+    ],
+    "https://github.com/JosefKuchar/ComfyUI-AdvancedTiling": [
+        [
+            "AdvancedTiling",
+            "AdvancedTilingSettings",
+            "AdvancedTilingVAEDecode"
+        ],
+        {
+            "title_aux": "ComfyUI-AdvancedTiling"
+        }
+    ],
+    "https://github.com/Julian-adv/WildDivide": [
+        [
+            "Attention couple",
+            "Comfy Divide",
+            "WildcardEncode"
+        ],
+        {
+            "author": "Julian Adventurer.",
+            "description": "This node is used to encode a wildcard string.",
+            "nickname": "WildDivide",
+            "title": "Wild Divide",
+            "title_aux": "Wild Divide"
+        }
+    ],
+    "https://github.com/Kangkang625/ComfyUI-paint-by-example": [
+        [
+            "PaintbyExamplePipeLoader",
+            "PaintbyExampleSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-Paint-by-Example"
+        }
+    ],
+    "https://github.com/KewkLW/ComfyUI-kewky_tools": [
+        [
+            "CLIPInterrogator",
+            "FormattedPromptNode",
+            "ImageBatcher",
+            "LoadImagePlus",
+            "LoadVideoPlus",
+            "TensorDebugPlus",
+            "TextAppendNode",
+            "TextSearchNode",
+            "VRAM_Debug_Plus"
+        ],
+        {
+            "title_aux": "ComfyUI-kewky_tools"
+        }
+    ],
+    "https://github.com/KoreTeknology/ComfyUI-Universal-Styler": [
+        [
+            "Load Nai Styles Complex CSV",
+            "ShowText|pysssss",
+            "Universal_Styler_Node",
+            "concat"
+        ],
+        {
+            "title_aux": "ComfyUI Universal Styler"
+        }
+    ],
+    "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet": [
+        [
+            "ACN_AdvancedControlNetApply",
+            "ACN_AdvancedControlNetApplySingle",
+            "ACN_ControlNet++InputNode",
+            "ACN_ControlNet++LoaderAdvanced",
+            "ACN_ControlNet++LoaderSingle",
+            "ACN_ControlNetLoaderWithLoraAdvanced",
+            "ACN_CustomControlNetWeightsFlux",
+            "ACN_CustomControlNetWeightsSD15",
+            "ACN_CustomT2IAdapterWeights",
+            "ACN_DefaultUniversalWeights",
+            "ACN_ReferenceControlNet",
+            "ACN_ReferenceControlNetFinetune",
+            "ACN_ReferencePreprocessor",
+            "ACN_ScaledSoftControlNetWeights",
+            "ACN_SoftControlNetWeightsSD15",
+            "ACN_SoftT2IAdapterWeights",
+            "ACN_SparseCtrlIndexMethodNode",
+            "ACN_SparseCtrlLoaderAdvanced",
+            "ACN_SparseCtrlMergedLoaderAdvanced",
+            "ACN_SparseCtrlRGBPreprocessor",
+            "ACN_SparseCtrlSpreadMethodNode",
+            "ACN_SparseCtrlWeightExtras",
+            "ACN_TimestepKeyframeFromStrengthList",
+            "ACN_TimestepKeyframeInterpolation",
+            "ControlNetLoaderAdvanced",
+            "CustomControlNetWeights",
+            "CustomT2IAdapterWeights",
+            "DiffControlNetLoaderAdvanced",
+            "LatentKeyframe",
+            "LatentKeyframeBatchedGroup",
+            "LatentKeyframeGroup",
+            "LatentKeyframeTiming",
+            "LoadImagesFromDirectory",
+            "ScaledSoftControlNetWeights",
+            "ScaledSoftMaskedUniversalWeights",
+            "SoftControlNetWeights",
+            "SoftT2IAdapterWeights",
+            "TimestepKeyframe"
+        ],
+        {
+            "title_aux": "ComfyUI-Advanced-ControlNet"
+        }
+    ],
+    "https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved": [
+        [
+            "ADE_AdjustPEFullStretch",
+            "ADE_AdjustPEManual",
+            "ADE_AdjustPESweetspotStretch",
+            "ADE_AdjustWeightAllAdd",
+            "ADE_AdjustWeightAllMult",
+            "ADE_AdjustWeightIndivAdd",
+            "ADE_AdjustWeightIndivAttnAdd",
+            "ADE_AdjustWeightIndivAttnMult",
+            "ADE_AdjustWeightIndivMult",
+            "ADE_AnimateDiffCombine",
+            "ADE_AnimateDiffKeyframe",
+            "ADE_AnimateDiffLoRALoader",
+            "ADE_AnimateDiffLoaderGen1",
+            "ADE_AnimateDiffLoaderV1Advanced",
+            "ADE_AnimateDiffLoaderWithContext",
+            "ADE_AnimateDiffModelSettings",
+            "ADE_AnimateDiffModelSettingsAdvancedAttnStrengths",
+            "ADE_AnimateDiffModelSettingsSimple",
+            "ADE_AnimateDiffModelSettings_Release",
+            "ADE_AnimateDiffSamplingSettings",
+            "ADE_AnimateDiffSettings",
+            "ADE_AnimateDiffUniformContextOptions",
+            "ADE_AnimateDiffUnload",
+            "ADE_ApplyAnimateDiffModel",
+            "ADE_ApplyAnimateDiffModelSimple",
+            "ADE_ApplyAnimateDiffModelWithCameraCtrl",
+            "ADE_ApplyAnimateDiffModelWithPIA",
+            "ADE_ApplyAnimateLCMI2VModel",
+            "ADE_AttachLoraHookToCLIP",
+            "ADE_AttachLoraHookToConditioning",
+            "ADE_BatchedContextOptions",
+            "ADE_CFGExtrasPAG",
+            "ADE_CFGExtrasPAGSimple",
+            "ADE_CFGExtrasRescaleCFG",
+            "ADE_CFGExtrasRescaleCFGSimple",
+            "ADE_CameraCtrlAnimateDiffKeyframe",
+            "ADE_CameraManualPoseAppend",
+            "ADE_CameraPoseAdvanced",
+            "ADE_CameraPoseBasic",
+            "ADE_CameraPoseCombo",
+            "ADE_CombineLoraHooks",
+            "ADE_CombineLoraHooksEight",
+            "ADE_CombineLoraHooksFour",
+            "ADE_ConditioningCombine",
+            "ADE_ConditioningSetMask",
+            "ADE_ConditioningSetMaskAndCombine",
+            "ADE_ConditioningSetUnmaskedAndCombine",
+            "ADE_ContextExtras_ContextRef",
+            "ADE_ContextExtras_ContextRef_Keyframe",
+            "ADE_ContextExtras_ContextRef_KeyframeFromList",
+            "ADE_ContextExtras_ContextRef_KeyframeInterpolation",
+            "ADE_ContextExtras_ContextRef_ModeFirst",
+            "ADE_ContextExtras_ContextRef_ModeIndexes",
+            "ADE_ContextExtras_ContextRef_ModeSliding",
+            "ADE_ContextExtras_ContextRef_TuneAttn",
+            "ADE_ContextExtras_ContextRef_TuneAttnAdain",
+            "ADE_ContextExtras_NaiveReuse",
+            "ADE_ContextExtras_NaiveReuse_Keyframe",
+            "ADE_ContextExtras_NaiveReuse_KeyframeFromList",
+            "ADE_ContextExtras_NaiveReuse_KeyframeInterpolation",
+            "ADE_ContextExtras_Set",
+            "ADE_CustomCFG",
+            "ADE_CustomCFGKeyframe",
+            "ADE_CustomCFGKeyframeFromList",
+            "ADE_CustomCFGKeyframeInterpolation",
+            "ADE_CustomCFGKeyframeSimple",
+            "ADE_CustomCFGSimple",
+            "ADE_EmptyLatentImageLarge",
+            "ADE_InjectI2VIntoAnimateDiffModel",
+            "ADE_InjectPIAIntoAnimateDiffModel",
+            "ADE_InputPIA_Multival",
+            "ADE_InputPIA_PaperPresets",
+            "ADE_IterationOptsDefault",
+            "ADE_IterationOptsFreeInit",
+            "ADE_LoadAnimateDiffModel",
+            "ADE_LoadAnimateDiffModelWithCameraCtrl",
+            "ADE_LoadAnimateLCMI2VModel",
+            "ADE_LoadCameraPoses",
+            "ADE_LoadCameraPosesFromPath",
+            "ADE_LoopedUniformContextOptions",
+            "ADE_LoopedUniformViewOptions",
+            "ADE_LoraHookKeyframe",
+            "ADE_LoraHookKeyframeFromStrengthList",
+            "ADE_LoraHookKeyframeInterpolation",
+            "ADE_MultivalConvertToMask",
+            "ADE_MultivalDynamic",
+            "ADE_MultivalDynamicFloatInput",
+            "ADE_MultivalDynamicFloats",
+            "ADE_MultivalScaledMask",
+            "ADE_NoiseLayerAdd",
+            "ADE_NoiseLayerAddWeighted",
+            "ADE_NoiseLayerReplace",
+            "ADE_NoisedImageInjectOptions",
+            "ADE_NoisedImageInjection",
+            "ADE_PIA_AnimateDiffKeyframe",
+            "ADE_PairedConditioningCombine",
+            "ADE_PairedConditioningSetMask",
+            "ADE_PairedConditioningSetMaskAndCombine",
+            "ADE_PairedConditioningSetUnmaskedAndCombine",
+            "ADE_PerturbedAttentionGuidanceMultival",
+            "ADE_RawSigmaSchedule",
+            "ADE_RegisterLoraHook",
+            "ADE_RegisterLoraHookModelOnly",
+            "ADE_RegisterModelAsLoraHook",
+            "ADE_RegisterModelAsLoraHookModelOnly",
+            "ADE_ReplaceCameraParameters",
+            "ADE_ReplaceOriginalPoseAspectRatio",
+            "ADE_RescaleCFGMultival",
+            "ADE_SetLoraHookKeyframe",
+            "ADE_SigmaSchedule",
+            "ADE_SigmaScheduleSplitAndCombine",
+            "ADE_SigmaScheduleToSigmas",
+            "ADE_SigmaScheduleWeightedAverage",
+            "ADE_SigmaScheduleWeightedAverageInterp",
+            "ADE_StandardStaticContextOptions",
+            "ADE_StandardStaticViewOptions",
+            "ADE_StandardUniformContextOptions",
+            "ADE_StandardUniformViewOptions",
+            "ADE_TimestepsConditioning",
+            "ADE_UpscaleAndVAEEncode",
+            "ADE_UseEvolvedSampling",
+            "ADE_ViewsOnlyContextOptions",
+            "ADE_VisualizeContextOptionsK",
+            "ADE_VisualizeContextOptionsKAdv",
+            "ADE_VisualizeContextOptionsSCustom",
+            "AnimateDiffLoaderV1",
+            "CheckpointLoaderSimpleWithNoiseSelect"
+        ],
+        {
+            "title_aux": "AnimateDiff Evolved"
+        }
+    ],
+    "https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite": [
+        [
+            "VHS_AudioToVHSAudio",
+            "VHS_BatchManager",
+            "VHS_DuplicateImages",
+            "VHS_DuplicateLatents",
+            "VHS_DuplicateMasks",
+            "VHS_GetImageCount",
+            "VHS_GetLatentCount",
+            "VHS_GetMaskCount",
+            "VHS_LoadAudio",
+            "VHS_LoadAudioUpload",
+            "VHS_LoadImages",
+            "VHS_LoadImagesPath",
+            "VHS_LoadVideo",
+            "VHS_LoadVideoPath",
+            "VHS_MergeImages",
+            "VHS_MergeLatents",
+            "VHS_MergeMasks",
+            "VHS_PruneOutputs",
+            "VHS_SelectEveryNthImage",
+            "VHS_SelectEveryNthLatent",
+            "VHS_SelectEveryNthMask",
+            "VHS_SelectFilename",
+            "VHS_SelectImages",
+            "VHS_SelectLatents",
+            "VHS_SelectMasks",
+            "VHS_SplitImages",
+            "VHS_SplitLatents",
+            "VHS_SplitMasks",
+            "VHS_Unbatch",
+            "VHS_VAEDecodeBatched",
+            "VHS_VAEEncodeBatched",
+            "VHS_VHSAudioToAudio",
+            "VHS_VideoCombine",
+            "VHS_VideoInfo",
+            "VHS_VideoInfoLoaded",
+            "VHS_VideoInfoSource"
+        ],
+        {
+            "title_aux": "ComfyUI-VideoHelperSuite"
+        }
+    ],
+    "https://github.com/Koushakur/ComfyUI-DenoiseChooser": [
+        [
+            "DenoiseChooser|Koushakur"
+        ],
+        {
+            "title_aux": "ComfyUI-DenoiseChooser"
+        }
+    ],
+    "https://github.com/KytraScript/ComfyUI_KytraWebhookHTTP": [
+        [
+            "SendToDiscordWebhook"
+        ],
+        {
+            "title_aux": "ComfyUI_KytraWebhookHTTP"
+        }
+    ],
+    "https://github.com/LEv145/images-grid-comfy-plugin": [
+        [
+            "GridAnnotation",
+            "ImageCombine",
+            "ImagesGridByColumns",
+            "ImagesGridByRows",
+            "LatentCombine"
+        ],
+        {
+            "title_aux": "ImagesGrid"
+        }
+    ],
+    "https://github.com/LarryJane491/Image-Captioning-in-ComfyUI": [
+        [
+            "LoRA Caption Load",
+            "LoRA Caption Save"
+        ],
+        {
+            "title_aux": "Image-Captioning-in-ComfyUI"
+        }
+    ],
+    "https://github.com/LarryJane491/Lora-Training-in-Comfy": [
+        [
+            "Lora Training in Comfy (Advanced)",
+            "Lora Training in ComfyUI",
+            "Tensorboard Access"
+        ],
+        {
+            "title_aux": "Lora-Training-in-Comfy"
+        }
+    ],
+    "https://github.com/Layer-norm/comfyui-lama-remover": [
+        [
+            "LamaRemover",
+            "LamaRemoverIMG"
+        ],
+        {
+            "title_aux": "Comfyui lama remover"
+        }
+    ],
+    "https://github.com/Lerc/canvas_tab": [
+        [
+            "Canvas_Tab",
+            "Send_To_Editor"
+        ],
+        {
+            "author": "Lerc",
+            "description": "This extension provides a full page image editor with mask support. There are two nodes, one to receive images from the editor and one to send images to the editor.",
+            "nickname": "Canvas Tab",
+            "title": "Canvas Tab",
+            "title_aux": "Canvas Tab"
+        }
+    ],
+    "https://github.com/Lhyejin/ComfyUI-Fill-Image-for-Outpainting": [
+        [
+            "FillImageForOutpainting"
+        ],
+        {
+            "title_aux": "ComfyUI-Fill-Image-for-Outpainting"
+        }
+    ],
+    "https://github.com/LightSketch-ai/ComfyUI-LivePortraitNode": [
+        [
+            "LightSketch Live Portrait",
+            "Preview Video"
+        ],
+        {
+            "title_aux": "ComfyUI-LivePortraitNode (Replicate API)"
+        }
+    ],
+    "https://github.com/Limitex/ComfyUI-Calculation": [
+        [
+            "CenterCalculation",
+            "CreateQRCode"
+        ],
+        {
+            "title_aux": "ComfyUI-Calculation"
+        }
+    ],
+    "https://github.com/Limitex/ComfyUI-Diffusers": [
+        [
+            "CreateIntListNode",
+            "DiffusersClipTextEncode",
+            "DiffusersModelMakeup",
+            "DiffusersPipelineLoader",
+            "DiffusersSampler",
+            "DiffusersSchedulerLoader",
+            "DiffusersVaeLoader",
+            "LcmLoraLoader",
+            "StreamDiffusionCreateStream",
+            "StreamDiffusionFastSampler",
+            "StreamDiffusionSampler",
+            "StreamDiffusionWarmup"
+        ],
+        {
+            "title_aux": "ComfyUI-Diffusers"
+        }
+    ],
+    "https://github.com/Ling-APE/ComfyUI-PixelResolutionCalculator": [
+        [
+            "LatentSizeToPixelSize",
+            "PixelResolutionCalculator"
+        ],
+        {
+            "title_aux": "ComfyUI-PixelResolutionCalculator"
+        }
+    ],
+    "https://github.com/Loewen-Hob/rembg-comfyui-node-better": [
+        [
+            "Image Remove Background (rembg)"
+        ],
+        {
+            "title_aux": "Rembg Background Removal Node for ComfyUI (Better)"
+        }
+    ],
+    "https://github.com/LonicaMewinsky/ComfyUI-MakeFrame": [
+        [
+            "BreakFrames",
+            "BreakGrid",
+            "GetKeyFrames",
+            "MakeGrid",
+            "RandomImageFromDir"
+        ],
+        {
+            "title_aux": "ComfyBreakAnim"
+        }
+    ],
+    "https://github.com/LonicaMewinsky/ComfyUI-RawSaver": [
+        [
+            "SaveTifImage"
+        ],
+        {
+            "title_aux": "ComfyUI-RawSaver"
+        }
+    ],
+    "https://github.com/Ludobico/ComfyUI-ScenarioPrompt": [
+        [
+            "ScenarioPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-ScenarioPrompt"
+        }
+    ],
+    "https://github.com/LyazS/comfyui-anime-seg": [
+        [
+            "Anime Character Seg"
+        ],
+        {
+            "title_aux": "Anime Character Segmentation node for comfyui"
+        }
+    ],
+    "https://github.com/M1kep/ComfyLiterals": [
+        [
+            "Checkpoint",
+            "Float",
+            "Int",
+            "KepStringLiteral",
+            "Lora",
+            "Operation",
+            "String"
+        ],
+        {
+            "title_aux": "ComfyLiterals"
+        }
+    ],
+    "https://github.com/M1kep/ComfyUI-KepOpenAI": [
+        [
+            "KepOpenAI_ImageWithPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-KepOpenAI"
+        }
+    ],
+    "https://github.com/M1kep/ComfyUI-OtherVAEs": [
+        [
+            "OtherVAE_Taesd"
+        ],
+        {
+            "title_aux": "ComfyUI-OtherVAEs"
+        }
+    ],
+    "https://github.com/M1kep/Comfy_KepKitchenSink": [
+        [
+            "KepRotateImage"
+        ],
+        {
+            "title_aux": "Comfy_KepKitchenSink"
+        }
+    ],
+    "https://github.com/M1kep/Comfy_KepListStuff": [
+        [
+            "Empty Images",
+            "Image Overlay",
+            "ImageListLoader",
+            "Join Float Lists",
+            "Join Image Lists",
+            "KepStringList",
+            "KepStringListFromNewline",
+            "Kep_JoinListAny",
+            "Kep_RepeatList",
+            "Kep_ReverseList",
+            "Kep_VariableImageBuilder",
+            "List Length",
+            "Range(Num Steps) - Float",
+            "Range(Num Steps) - Int",
+            "Range(Step) - Float",
+            "Range(Step) - Int",
+            "Stack Images",
+            "XYAny",
+            "XYImage"
+        ],
+        {
+            "title_aux": "Comfy_KepListStuff"
+        }
+    ],
+    "https://github.com/M1kep/Comfy_KepMatteAnything": [
+        [
+            "MatteAnything_DinoBoxes",
+            "MatteAnything_GenerateVITMatte",
+            "MatteAnything_InitSamPredictor",
+            "MatteAnything_LoadDINO",
+            "MatteAnything_LoadVITMatteModel",
+            "MatteAnything_SAMLoader",
+            "MatteAnything_SAMMaskFromBoxes",
+            "MatteAnything_ToTrimap"
+        ],
+        {
+            "title_aux": "Comfy_KepMatteAnything"
+        }
+    ],
+    "https://github.com/M1kep/KepPromptLang": [
+        [
+            "Build Gif",
+            "Special CLIP Loader"
+        ],
+        {
+            "title_aux": "KepPromptLang"
+        }
+    ],
+    "https://github.com/MNeMoNiCuZ/ComfyUI-mnemic-nodes": [
+        [
+            "\u26d4 Generate Negative Prompt",
+            "\u2728 Groq LLM API",
+            "\ud83d\udcbe Save Text File With Path",
+            "\ud83d\uddbc\ufe0f Download Image from URL"
+        ],
+        {
+            "title_aux": "ComfyUI-mnemic-nodes"
+        }
+    ],
+    "https://github.com/Makeezi/ComfyUI-promptLAB": [
+        [
+            "PromptLAB"
+        ],
+        {
+            "title_aux": "ComfyUI-promptLAB"
+        }
+    ],
+    "https://github.com/MakkiShizu/comfyui_reimgsize": [
+        [
+            "Cropimg",
+            "Resize"
+        ],
+        {
+            "title_aux": "comfyui_reimgsize"
+        }
+    ],
+    "https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes": [
+        [
+            "Image Remove Background (rembg)"
+        ],
+        {
+            "title_aux": "Batch Rembg for ComfyUI"
+        }
+    ],
+    "https://github.com/ManglerFTW/ComfyI2I": [
+        [
+            "Color Transfer",
+            "Combine and Paste",
+            "Inpaint Segments",
+            "Mask Ops"
+        ],
+        {
+            "author": "ManglerFTW",
+            "title": "ComfyI2I",
+            "title_aux": "ComfyI2I"
+        }
+    ],
+    "https://github.com/MaraScott/ComfyUI_MaraScott_Nodes": [
+        [
+            "MaraScottAnyBusNode",
+            "MaraScottAnyBus_v2",
+            "MaraScottDisplayInfoNode",
+            "MaraScottDisplayInfo_v1",
+            "MaraScottMcBoatyRefiner_v4",
+            "MaraScottMcBoatyRefiner_v5",
+            "MaraScottMcBoatyTilePrompter_v4",
+            "MaraScottMcBoatyTilePrompter_v5",
+            "MaraScottMcBoatyUpscalerRefiner_v5",
+            "MaraScottMcBoatyUpscaler_v4",
+            "MaraScottMcBoatyUpscaler_v5",
+            "MaraScottPasteInpaintingByMask_v1",
+            "MaraScottPromptFromImage_v1",
+            "MaraScottSetInpaintingByMask_v1",
+            "MaraScottUpscalerRefinerNode_v2",
+            "MaraScottUpscalerRefinerNode_v3",
+            "MaraScott_Kijai_TokenCounter_v1"
+        ],
+        {
+            "title_aux": "\ud83d\udc30 MaraScott Nodes"
+        }
+    ],
+    "https://github.com/MarcusNyne/m9-prompts-comfyui": [
+        [
+            "ScramblePrompts_m9",
+            "TweakWeights_m9"
+        ],
+        {
+            "title_aux": "m9-prompts-comfyui"
+        }
+    ],
+    "https://github.com/MariusKM/ComfyUI-BadmanNodes": [
+        [
+            "BadmanCLIPTextEncodeSDXLRegion",
+            "BadmanIO",
+            "BadmanIntUtil",
+            "BadmanStringSelect",
+            "Badman_Blend",
+            "Badman_Concat_String",
+            "Badman_HexGenerator",
+            "Badman_Print",
+            "Badman_String"
+        ],
+        {
+            "title_aux": "ComfyUI-BadmanNodes"
+        }
+    ],
+    "https://github.com/MarkoCa1/ComfyUI-Text": [
+        [
+            "CombinationText",
+            "PlaceholderText",
+            "ReplaceText",
+            "ShowText"
+        ],
+        {
+            "title_aux": "ComfyUI-Text"
+        }
+    ],
+    "https://github.com/MarkoCa1/ComfyUI_Segment_Mask": [
+        [
+            "AutomaticMask(segment anything)"
+        ],
+        {
+            "title_aux": "ComfyUI_Segment_Mask"
+        }
+    ],
+    "https://github.com/Marksusu/ComfyUI_MTCLIPEncode": [
+        [
+            "MTCLIPEncode"
+        ],
+        {
+            "title_aux": "ComfyUI_MTCLIPEncode"
+        }
+    ],
+    "https://github.com/Mason-McGough/ComfyUI-Mosaica": [
+        [
+            "ApplyLUTToLabelImage",
+            "KMeans",
+            "LoadLUTFromMatplotlib",
+            "MeanShift",
+            "RandomLUT",
+            "Watershed"
+        ],
+        {
+            "title_aux": "Mosaica"
+        }
+    ],
+    "https://github.com/MiddleKD/ComfyUI-mem-safe-wrapper": [
+        [
+            "MakeModelMemorySafe-safewrapper",
+            "ResetModelPatcher-safewrapper",
+            "SimpleDummyModel-safewrapper",
+            "SimpleDummyRun-safewrapper"
+        ],
+        {
+            "title_aux": "ComfyUI-mem-safe-wrapper"
+        }
+    ],
+    "https://github.com/MiddleKD/ComfyUI-productfix": [
+        [
+            "ApplyLatentInjection",
+            "DetailTransferAdd",
+            "DetailTransferLatentAdd",
+            "DynamicImageResize",
+            "GetTextMask",
+            "ResetModelPatcherCalculateWeight",
+            "VQDecoder",
+            "VQEncoder",
+            "VQLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-productfix"
+        }
+    ],
+    "https://github.com/MilitantHitchhiker/MilitantHitchhiker-SwitchbladePack": [
+        [
+            "FluxModelSave_v2",
+            "IntegratedRandomPromptGenerator",
+            "MilitantMergeNodev2",
+            "ModelAnalyserNode",
+            "TextAppender_v2"
+        ],
+        {
+            "author": "Militant Hitchhiker",
+            "description": "Militant Hitchhiker's multi-function nodes.",
+            "nickname": "Switchblade",
+            "title": "Switchblade Pack",
+            "title_aux": "MilitantHitchhiker-SwitchbladePack"
+        }
+    ],
+    "https://github.com/Mintbeer96/ComfyUI-KerasOCR": [
+        [
+            "KerasOCR"
+        ],
+        {
+            "title_aux": "ComfyUI-KerasOCR"
+        }
+    ],
+    "https://github.com/Miosp/ComfyUI-FBCNN": [
+        [
+            "JPEG artifacts removal FBCNN"
+        ],
+        {
+            "title_aux": "ComfyUI-FBCNN"
+        }
+    ],
+    "https://github.com/MitoshiroPJ/comfyui_slothful_attention": [
+        [
+            "NearSightedAttention",
+            "NearSightedAttentionSimple",
+            "NearSightedTile",
+            "SlothfulAttention"
+        ],
+        {
+            "title_aux": "ComfyUI Slothful Attention"
+        }
+    ],
+    "https://github.com/MohammadAboulEla/ComfyUI-iTools": [
+        [
+            "iToolsAddOverlay",
+            "iToolsLoadImagePlus",
+            "iToolsLoadImages",
+            "iToolsPromptLoader",
+            "iToolsPromptSaver"
+        ],
+        {
+            "title_aux": "ComfyUI-iTools"
+        }
+    ],
+    "https://github.com/MokkaBoss1/ComfyUI_Mokkaboss1": [
+        [
+            "AnimeCosplayDir",
+            "AspectRatioCondition",
+            "ChooseImage",
+            "Colors",
+            "CombinedCrop",
+            "ConnectFloat",
+            "ConnectImage",
+            "ConnectInteger",
+            "ConnectLatent",
+            "ConnectString",
+            "DirSelector",
+            "DoubleClipTextEncode",
+            "EmbeddingLoader",
+            "FilmCharDir",
+            "FuseImages",
+            "FuseImages2",
+            "HashText",
+            "HueSatLum",
+            "HueShift",
+            "ImageDimensions",
+            "ImageDimensionsBatch",
+            "ImageOverlayResized",
+            "ImageResizeLong",
+            "ImageZigzag",
+            "IndoorBackgrounds",
+            "IndoorDir",
+            "IntEvaluate",
+            "IntFloatDict",
+            "IntStringDict",
+            "JsonSearch",
+            "KillWorkflow",
+            "LandscapeBackgrounds",
+            "LandscapeDir",
+            "MakeupStylesDir",
+            "Mbsampler",
+            "OptimalCrop",
+            "Overlay",
+            "PhotomontageA",
+            "PhotomontageB",
+            "PhotomontageC",
+            "PostSamplerCrop",
+            "PresetLoad",
+            "PresetRemove",
+            "PresetSave",
+            "PromptSwitcher",
+            "RandomString",
+            "SDXLEmptyLatent",
+            "SavePrompt",
+            "SaveWithMetaData",
+            "SaveWithMetaData2",
+            "SearchReplace",
+            "SimplePrompts",
+            "SpecificStylesDir",
+            "SplitImages",
+            "StringJoin",
+            "TimeStamp",
+            "TintnShift",
+            "TricolorComposition",
+            "WorkflowSettings",
+            "WrapText",
+            "X_In_a_Dress",
+            "X_In_a_Suit",
+            "X_In_a_Suit)",
+            "ZoomCrop",
+            "imageborder"
+        ],
+        {
+            "title_aux": "Node Pack mostly for manipulating strings and integers"
+        }
+    ],
+    "https://github.com/MrForExample/ComfyUI-3D-Pack": [
+        [],
+        {
+            "nodename_pattern": "^\\[Comfy3D\\]",
+            "title_aux": "ComfyUI-3D-Pack"
+        }
+    ],
+    "https://github.com/MrForExample/ComfyUI-AnimateAnyone-Evolved": [
+        [],
+        {
+            "nodename_pattern": "^\\[AnimateAnyone\\]",
+            "title_aux": "ComfyUI-AnimateAnyone-Evolved"
+        }
+    ],
+    "https://github.com/MrSamSeen/ComfyUI_SSStereoscope": [
+        [
+            "SBS_by_SamSeen"
+        ],
+        {
+            "title_aux": "ComfyUI_SSStereoscope"
+        }
+    ],
+    "https://github.com/Munkyfoot/ComfyUI-TextOverlay": [
+        [
+            "Text Overlay"
+        ],
+        {
+            "title_aux": "ComfyUI-TextOverlay"
+        }
+    ],
+    "https://github.com/MushroomFleet/DJZ-Nodes": [
+        [
+            "AspectSize",
+            "AspectSizeV2",
+            "ImageSizeAdjuster",
+            "ImageSizeAdjusterV2",
+            "StringWeights",
+            "ZenkaiPrompt",
+            "ZenkaiPromptV2",
+            "ZenkaiWildcard",
+            "ZenkaiWildcardV2"
+        ],
+        {
+            "title_aux": "DJZ-Nodes"
+        }
+    ],
+    "https://github.com/MuziekMagie/ComfyUI-Matchering": [
+        [
+            "Matchering",
+            "MatcheringAdvanced",
+            "MatcheringLimiterConfig"
+        ],
+        {
+            "title_aux": "ComfyUI-Matchering"
+        }
+    ],
+    "https://github.com/N3rd00d/ComfyUI-Paint3D-Nodes": [
+        [
+            "3D_GenerateDepthImage",
+            "3D_GenerateInpaintMask",
+            "3D_GenerateInpaintUVMapMask",
+            "3D_GeneratePreviewVideo",
+            "3D_LoadMeshModel",
+            "3D_Projection",
+            "3D_SaveUVMapImage",
+            "3D_TrainConfig",
+            "3D_TrainConfigPipe"
+        ],
+        {
+            "title_aux": "ComfyUI-Paint3D-Nodes"
+        }
+    ],
+    "https://github.com/NMWave/ComfyUI-Nader-Tagging": [
+        [
+            "Load Text List",
+            "Split Sentences",
+            "Split Tags",
+            "Tag Alternating Combiner",
+            "Tag Duplicate Remover",
+            "Token Counter"
+        ],
+        {
+            "title_aux": "Image Captioning and Tagging Assistor Nodes"
+        }
+    ],
+    "https://github.com/NVIDIAGameWorks/ComfyUI-RTX-Remix": [
+        [
+            "RTXRemixCreateLayer",
+            "RTXRemixDefineLayerId",
+            "RTXRemixDeleteFile",
+            "RTXRemixEndContext",
+            "RTXRemixGetEditTarget",
+            "RTXRemixGetLayers",
+            "RTXRemixGetTextures",
+            "RTXRemixIngestTexture",
+            "RTXRemixInvertBool",
+            "RTXRemixLayerType",
+            "RTXRemixLayerTypes",
+            "RTXRemixMuteLayer",
+            "RTXRemixRemoveLayer",
+            "RTXRemixRestAPIDetails",
+            "RTXRemixSaveLayer",
+            "RTXRemixSetEditTarget",
+            "RTXRemixSetTexture",
+            "RTXRemixStartContext",
+            "RTXRemixStrToList",
+            "RTXRemixStringConcatenate",
+            "RTXRemixStringConstant",
+            "RTXRemixSwitch",
+            "RTXRemixTextureTypeToUSDAttribute",
+            "RTXRemixTexturesType",
+            "RTXRemixTexturesTypes"
+        ],
+        {
+            "title_aux": "ComfyUI-RTX-Remix"
+        }
+    ],
+    "https://github.com/NakamuraShippo/ComfyUI-PromptList": [
+        [
+            "ComfyUI-PromptList"
+        ],
+        {
+            "author": "NakamuraShippo",
+            "description": "Custom node to manage prompts in YAML format.|YAML\u3067\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u7ba1\u7406\u3059\u308b\u30ce\u30fc\u30c9",
+            "title": "ComfyUI-PromptList",
+            "title_aux": "ComfyUI-PromptList"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/ComfyUI-Dimensional-Latent-Perlin": [
+        [
+            "NoisyLatentPerlinD"
+        ],
+        {
+            "title_aux": "Dimensional Latent Perlin for ComfyUI"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/ComfyUI-FluxPseudoNegativePrompt": [
+        [
+            "FluxPseudoNegativeNode"
+        ],
+        {
+            "title_aux": "FluxPseudoNegative"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/ComfyUI-PromptJSON": [
+        [
+            "PromptJSON"
+        ],
+        {
+            "title_aux": "PromptJSON Node for ComfyUI"
+        }
+    ],
+    "https://github.com/NeuralSamurAI/Comfyui-Superprompt-Unofficial": [
+        [
+            "SuperPrompterNode"
+        ],
+        {
+            "title_aux": "SuperPrompter Node for ComfyUI"
+        }
+    ],
+    "https://github.com/NicholasMcCarthy/ComfyUI_TravelSuite": [
+        [
+            "LatentTravel"
+        ],
+        {
+            "title_aux": "ComfyUI_TravelSuite"
+        }
+    ],
+    "https://github.com/NimaNzrii/comfyui-photoshop": [
+        [
+            "\ud83d\udd39 Photoshop RemoteConnection",
+            "\ud83d\udd39ClipPass",
+            "\ud83d\udd39Photoshop ComfyUI Plugin",
+            "\ud83d\udd39SendTo Photoshop Plugin",
+            "\ud83d\udd39modelPass"
+        ],
+        {
+            "title_aux": "comfyui-photoshop"
+        }
+    ],
+    "https://github.com/NimaNzrii/comfyui-popup_preview": [
+        [
+            "PreviewPopup"
+        ],
+        {
+            "title_aux": "comfyui-popup_preview"
+        }
+    ],
+    "https://github.com/Niutonian/ComfyUi-NoodleWebcam": [
+        [
+            "WebcamNode"
+        ],
+        {
+            "title_aux": "ComfyUi-NoodleWebcam"
+        }
+    ],
+    "https://github.com/Nlar/ComfyUI_CartoonSegmentation": [
+        [
+            "AnimeSegmentation",
+            "KenBurnsConfigLoader",
+            "KenBurns_Processor",
+            "LoadImageFilename"
+        ],
+        {
+            "author": "Nels Larsen",
+            "description": "This extension offers a front end to the Cartoon Segmentation Project (https://github.com/CartoonSegmentation/CartoonSegmentation)",
+            "nickname": "CfyCS",
+            "title": "ComfyUI_CartoonSegmentation",
+            "title_aux": "ComfyUI_CartoonSegmentation"
+        }
+    ],
+    "https://github.com/NotHarroweD/Harronode": [
+        [
+            "Harronode"
+        ],
+        {
+            "author": "HarroweD and quadmoon (https://github.com/traugdor)",
+            "description": "This extension to ComfyUI will build a prompt for the Harrlogos LoRA for SDXL.",
+            "nickname": "Harronode",
+            "nodename_pattern": "Harronode",
+            "title": "Harrlogos Prompt Builder Node",
+            "title_aux": "Harrlogos Prompt Builder Node"
+        }
+    ],
+    "https://github.com/Nourepide/ComfyUI-Allor": [
+        [
+            "AlphaChanelAdd",
+            "AlphaChanelAddByMask",
+            "AlphaChanelAsMask",
+            "AlphaChanelRemove",
+            "AlphaChanelRestore",
+            "ClipClamp",
+            "ClipVisionClamp",
+            "ClipVisionOutputClamp",
+            "ConditioningClamp",
+            "ControlNetClamp",
+            "GligenClamp",
+            "ImageBatchCopy",
+            "ImageBatchFork",
+            "ImageBatchGet",
+            "ImageBatchJoin",
+            "ImageBatchPermute",
+            "ImageBatchRemove",
+            "ImageClamp",
+            "ImageCompositeAbsolute",
+            "ImageCompositeAbsoluteByContainer",
+            "ImageCompositeRelative",
+            "ImageCompositeRelativeByContainer",
+            "ImageContainer",
+            "ImageContainerInheritanceAdd",
+            "ImageContainerInheritanceMax",
+            "ImageContainerInheritanceScale",
+            "ImageContainerInheritanceSum",
+            "ImageDrawArc",
+            "ImageDrawArcByContainer",
+            "ImageDrawChord",
+            "ImageDrawChordByContainer",
+            "ImageDrawEllipse",
+            "ImageDrawEllipseByContainer",
+            "ImageDrawLine",
+            "ImageDrawLineByContainer",
+            "ImageDrawPieslice",
+            "ImageDrawPiesliceByContainer",
+            "ImageDrawPolygon",
+            "ImageDrawRectangle",
+            "ImageDrawRectangleByContainer",
+            "ImageDrawRectangleRounded",
+            "ImageDrawRectangleRoundedByContainer",
+            "ImageEffectsAdjustment",
+            "ImageEffectsGrayscale",
+            "ImageEffectsLensBokeh",
+            "ImageEffectsLensChromaticAberration",
+            "ImageEffectsLensOpticAxis",
+            "ImageEffectsLensVignette",
+            "ImageEffectsLensZoomBurst",
+            "ImageEffectsNegative",
+            "ImageEffectsSepia",
+            "ImageFilterBilateralBlur",
+            "ImageFilterBlur",
+            "ImageFilterBoxBlur",
+            "ImageFilterContour",
+            "ImageFilterDetail",
+            "ImageFilterEdgeEnhance",
+            "ImageFilterEdgeEnhanceMore",
+            "ImageFilterEmboss",
+            "ImageFilterFindEdges",
+            "ImageFilterGaussianBlur",
+            "ImageFilterGaussianBlurAdvanced",
+            "ImageFilterMax",
+            "ImageFilterMedianBlur",
+            "ImageFilterMin",
+            "ImageFilterMode",
+            "ImageFilterRank",
+            "ImageFilterSharpen",
+            "ImageFilterSmooth",
+            "ImageFilterSmoothMore",
+            "ImageFilterStackBlur",
+            "ImageNoiseBeta",
+            "ImageNoiseBinomial",
+            "ImageNoiseBytes",
+            "ImageNoiseGaussian",
+            "ImageSegmentation",
+            "ImageSegmentationCustom",
+            "ImageSegmentationCustomAdvanced",
+            "ImageText",
+            "ImageTextMultiline",
+            "ImageTextMultilineOutlined",
+            "ImageTextOutlined",
+            "ImageTransformCropAbsolute",
+            "ImageTransformCropCorners",
+            "ImageTransformCropRelative",
+            "ImageTransformPaddingAbsolute",
+            "ImageTransformPaddingRelative",
+            "ImageTransformResizeAbsolute",
+            "ImageTransformResizeClip",
+            "ImageTransformResizeRelative",
+            "ImageTransformRotate",
+            "ImageTransformTranspose",
+            "LatentClamp",
+            "MaskClamp",
+            "ModelClamp",
+            "StyleModelClamp",
+            "UpscaleModelClamp",
+            "VaeClamp"
+        ],
+        {
+            "title_aux": "Allor Plugin"
+        }
+    ],
+    "https://github.com/Nuked88/ComfyUI-N-Nodes": [
+        [
+            "CLIPTextEncodeAdvancedNSuite [n-suite]",
+            "DynamicPrompt [n-suite]",
+            "Float Variable [n-suite]",
+            "FrameInterpolator [n-suite]",
+            "GPT Loader Simple [n-suite]",
+            "GPT Sampler [n-suite]",
+            "ImagePadForOutpaintAdvanced [n-suite]",
+            "Integer Variable [n-suite]",
+            "Llava Clip Loader [n-suite]",
+            "LoadFramesFromFolder [n-suite]",
+            "LoadImageFromFolder [n-suite]",
+            "LoadVideo [n-suite]",
+            "SaveVideo [n-suite]",
+            "SetMetadataForSaveVideo [n-suite]",
+            "String Variable [n-suite]"
+        ],
+        {
+            "title_aux": "ComfyUI-N-Nodes"
+        }
+    ],
+    "https://github.com/Off-Live/ComfyUI-off-suite": [
+        [
+            "Apply CLAHE",
+            "Cached Image Load From URL",
+            "CalcMaskBound",
+            "Crop Center wigh SEGS",
+            "Crop Center with SEGS",
+            "Dilate Mask for Each Face",
+            "GW Number Formatting",
+            "Grid Image from batch (OFF)",
+            "Image Crop Fit",
+            "Image Resize Fit",
+            "OFF SEGS to Image",
+            "Paste Face Segment to Image",
+            "Query Gender and Age",
+            "RandomSeedfromList",
+            "SEGS to Face Crop Data",
+            "Safe Mask to Image",
+            "VAE Encode For Inpaint V2",
+            "Watermarking"
+        ],
+        {
+            "title_aux": "ComfyUI-off-suite"
+        }
+    ],
+    "https://github.com/Onierous/QRNG_Node_ComfyUI/raw/main/qrng_node.py": [
+        [
+            "QRNG_Node_CSV"
+        ],
+        {
+            "preemptions": [
+                "SAMLoader"
+            ],
+            "title_aux": "QRNG_Node_ComfyUI"
+        }
+    ],
+    "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex": [
+        [
+            "Pipe From Parameters",
+            "Pipe To Parameters",
+            "Prompt Tidy",
+            "Text Switch 2 Way",
+            "Text With Context"
+        ],
+        {
+            "title_aux": "ComfyUI-Simple-Of-Complex"
+        }
+    ],
+    "https://github.com/PCMonsterx/ComfyUI-CSV-Loader": [
+        [
+            "Load Artists CSV",
+            "Load Artmovements CSV",
+            "Load Characters CSV",
+            "Load Colors CSV",
+            "Load Composition CSV",
+            "Load Lighting CSV",
+            "Load Negative CSV",
+            "Load Positive CSV",
+            "Load Settings CSV",
+            "Load Styles CSV"
+        ],
+        {
+            "title_aux": "ComfyUI-CSV-Loader"
+        }
+    ],
+    "https://github.com/Parameshvadivel/ComfyUI-SVGview": [
+        [
+            "SVGPreview"
+        ],
+        {
+            "title_aux": "ComfyUI-SVGview"
+        }
+    ],
+    "https://github.com/ParisNeo/lollms_nodes_suite": [
+        [
+            "Artbot",
+            "Lollms_Text_Gen",
+            "Lollms_Text_Saver",
+            "RandomizeVideo"
+        ],
+        {
+            "title_aux": "lollms_nodes_suite"
+        }
+    ],
+    "https://github.com/ParmanBabra/ComfyUI-Malefish-Custom-Scripts": [
+        [
+            "CSVPromptsLoader",
+            "CombinePrompt",
+            "MultiLoraLoader",
+            "RandomPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-Malefish-Custom-Scripts"
+        }
+    ],
+    "https://github.com/Pfaeff/pfaeff-comfyui": [
+        [
+            "AstropulsePixelDetector",
+            "BackgroundRemover",
+            "ImagePadForBetterOutpaint",
+            "Inpainting",
+            "InpaintingPipelineLoader"
+        ],
+        {
+            "title_aux": "pfaeff-comfyui"
+        }
+    ],
+    "https://github.com/Pheat-AI/Remade_nodes": [
+        [
+            "Batch Image Blend by Mask"
+        ],
+        {
+            "title_aux": "Remade_nodes"
+        }
+    ],
+    "https://github.com/PnthrLeo/comfyUI-image-search": [
+        [
+            "CloseImagesSearcher"
+        ],
+        {
+            "title_aux": "comfyUI-image-search"
+        }
+    ],
+    "https://github.com/Pos13/comfyui-cyclist": [
+        [
+            "CyclistCompare",
+            "CyclistMathFloat",
+            "CyclistMathInt",
+            "CyclistTimer",
+            "CyclistTimerStop",
+            "CyclistTypeCast",
+            "Interrupt",
+            "LoopManager",
+            "MemorizeConditioning",
+            "MemorizeFloat",
+            "MemorizeInt",
+            "MemorizeString",
+            "OverrideImage",
+            "OverrideLatent",
+            "OverrideModel",
+            "RecallConditioning",
+            "RecallFloat",
+            "RecallInt",
+            "RecallString",
+            "ReloadImage",
+            "ReloadLatent",
+            "ReloadModel"
+        ],
+        {
+            "author": "Pos13",
+            "description": "This extension provides tools to iterate generation results between runs. In general, it's for cycles.",
+            "nickname": "comfyui-cyclist",
+            "title": "Cyclist",
+            "title_aux": "Cyclist"
+        }
+    ],
+    "https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait": [
+        [
+            "AdvancedLivePortrait",
+            "ExpData",
+            "ExpressionEditor",
+            "LoadExpData",
+            "PrintExpData:",
+            "SaveExpData"
+        ],
+        {
+            "title_aux": "ComfyUI-AdvancedLivePortrait"
+        }
+    ],
+    "https://github.com/Pseudotools/Pseudocomfy": [
+        [
+            "Combiner",
+            "LoadJSONAuto",
+            "LoadJSONFromFolder",
+            "MakeMaskBatch",
+            "MixedBuiltinCombinerIPAdaper",
+            "ProcessJSON"
+        ],
+        {
+            "title_aux": "Pseudocomfy"
+        }
+    ],
+    "https://github.com/QaisMalkawi/ComfyUI-QaisHelper": [
+        [
+            "Bool Binary Operation",
+            "Bool Unary Operation",
+            "Item Debugger",
+            "Item Switch",
+            "Nearest SDXL Resolution",
+            "SDXL Resolution",
+            "Size Swapper"
+        ],
+        {
+            "title_aux": "ComfyUI-Qais-Helper"
+        }
+    ],
+    "https://github.com/Raapys/ComfyUI-LatentGC_Aggressive": [
+        [
+            "LatentGC"
+        ],
+        {
+            "title_aux": "LatentGC Aggressive"
+        }
+    ],
+    "https://github.com/RedRayz/ComfyUI-Danbooru-To-WD": [
+        [
+            "DanbooruToWD"
+        ],
+        {
+            "title_aux": "ComfyUI-Danbooru-To-WD"
+        }
+    ],
+    "https://github.com/RenderRift/ComfyUI-RenderRiftNodes": [
+        [
+            "AnalyseMetadata",
+            "DateIntegerNode",
+            "DisplayMetaOptions",
+            "LoadImageWithMeta",
+            "MetadataOverlayNode",
+            "VideoPathMetaExtraction"
+        ],
+        {
+            "title_aux": "ComfyUI-RenderRiftNodes"
+        }
+    ],
+    "https://github.com/RhizoNymph/ComfyUI-Latte": [
+        [
+            "LatteVideoGenerator"
+        ],
+        {
+            "title_aux": "ComfyUI-Latte"
+        }
+    ],
+    "https://github.com/RodrigoSKohl/ComfyUI-Panoramic-ImgStitcher": [
+        [
+            "Image Stitching Node"
+        ],
+        {
+            "title_aux": "Panoramic Image Stitcher"
+        }
+    ],
+    "https://github.com/RomanKuschanow/ComfyUI-Advanced-Latent-Control": [
+        [
+            "LatentAddTransform",
+            "LatentInterpolateTransform",
+            "LatentMirror",
+            "LatentNormalize",
+            "LatentShift",
+            "MirrorTransform",
+            "MultiplyTransform",
+            "OffsetCombine",
+            "OneTimeLatentAddTransform",
+            "OneTimeLatentInterpolateTransform",
+            "OneTimeMirrorTransform",
+            "OneTimeMultiplyTransform",
+            "OneTimeShiftTransform",
+            "ShiftTransform",
+            "TransformHijack",
+            "TransformOffset",
+            "TransformSampler",
+            "TransformSamplerAdvanced",
+            "TransformsCombine"
+        ],
+        {
+            "title_aux": "Advanced Latent Control"
+        }
+    ],
+    "https://github.com/Ron-Digital/ComfyUI-SceneGenerator": [
+        [
+            "Scene Generator"
+        ],
+        {
+            "title_aux": "ComfyUI-SceneGenerator"
+        }
+    ],
+    "https://github.com/Ryuukeisyou/comfyui_face_parsing": [
+        [
+            "BBoxListItemSelect(FaceParsing)",
+            "BBoxResize(FaceParsing)",
+            "ColorAdjust(FaceParsing)",
+            "FaceBBoxDetect(FaceParsing)",
+            "FaceBBoxDetectorLoader(FaceParsing)",
+            "FaceParse(FaceParsing)",
+            "FaceParsingModelLoader(FaceParsing)",
+            "FaceParsingProcessorLoader(FaceParsing)",
+            "FaceParsingResultsParser(FaceParsing)",
+            "GuidedFilter(FaceParsing)",
+            "ImageCropWithBBox(FaceParsing)",
+            "ImageInsertWithBBox(FaceParsing)",
+            "ImageListSelect(FaceParsing)",
+            "ImagePadWithBBox(FaceParsing)",
+            "ImageResizeCalculator(FaceParsing)",
+            "ImageResizeWithBBox(FaceParsing)",
+            "ImageSize(FaceParsing)",
+            "LatentCropWithBBox(FaceParsing)",
+            "LatentInsertWithBBox(FaceParsing)",
+            "LatentSize(FaceParsing)",
+            "MaskComposite(FaceParsing)",
+            "MaskInsertWithBBox(FaceParsing)",
+            "MaskListComposite(FaceParsing)",
+            "MaskListSelect(FaceParsing)",
+            "MaskToBBox(FaceParsing)",
+            "SkinDetectTraditional(FaceParsing)"
+        ],
+        {
+            "title_aux": "comfyui_face_parsing"
+        }
+    ],
+    "https://github.com/Ryuukeisyou/comfyui_io_helpers": [
+        [
+            "ImageLoadAsMaskByPath(IOHelpers)",
+            "ImageLoadByPath(IOHelpers)",
+            "ImageLoadFromBase64(IOHelpers)",
+            "ImageSaveAsBase64(IOHelpers)",
+            "ImageSaveToPath(IOHelpers)",
+            "TypeConversion(IOHelpers)",
+            "VHSFileNamesToStrings(IOHelpers)"
+        ],
+        {
+            "title_aux": "comfyui_io_helpers"
+        }
+    ],
+    "https://github.com/SEkINVR/ComfyUI-SaveAs": [
+        [
+            "ComfyUISaveAs"
+        ],
+        {
+            "title_aux": "ComfyUI SaveAS"
+        }
+    ],
+    "https://github.com/SLAPaper/ComfyUI-Image-Selector": [
+        [
+            "ImageDuplicator",
+            "ImageSelector",
+            "LatentDuplicator",
+            "LatentSelector"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Selector"
+        }
+    ],
+    "https://github.com/SOELexicon/ComfyUI-LexMSDBNodes": [
+        [
+            "MSSqlSelectNode",
+            "MSSqlTableNode"
+        ],
+        {
+            "title_aux": "LexMSDBNodes"
+        }
+    ],
+    "https://github.com/SOELexicon/ComfyUI-LexTools": [
+        [
+            "AesthetlcScoreSorter",
+            "AgeClassifierNode",
+            "ArtOrHumanClassifierNode",
+            "CalculateAestheticScore",
+            "DocumentClassificationNode",
+            "FoodCategoryClassifierNode",
+            "ImageAspectPadNode",
+            "ImageCaptioning",
+            "ImageFilterByFloatScoreNode",
+            "ImageFilterByIntScoreNode",
+            "ImageQualityScoreNode",
+            "ImageRankingNode",
+            "ImageScaleToMin",
+            "LoadAesteticModel",
+            "MD5ImageHashNode",
+            "SamplerPropertiesNode",
+            "ScoreConverterNode",
+            "SeedIncrementerNode",
+            "SegformerNode",
+            "SegformerNodeMasks",
+            "SegformerNodeMergeSegments",
+            "StepCfgIncrementNode"
+        ],
+        {
+            "title_aux": "ComfyUI-LexTools"
+        }
+    ],
+    "https://github.com/SadaleNet/CLIPTextEncodeA1111-ComfyUI/raw/master/custom_nodes/clip_text_encoder_a1111.py": [
+        [
+            "CLIPTextEncodeA1111",
+            "RerouteTextForCLIPTextEncodeA1111"
+        ],
+        {
+            "title_aux": "ComfyUI A1111-like Prompt Custom Node Solution"
+        }
+    ],
+    "https://github.com/SamKhoze/ComfyUI-DeepFuze": [
+        [
+            "DeepFuze Save",
+            "DeepFuzeAdavance",
+            "DeepFuzeFaceSwap",
+            "DeepfuzePreview",
+            "LLM_node",
+            "PlayBackAudio",
+            "TTS_generation"
+        ],
+        {
+            "title_aux": "DeepFuze"
+        }
+    ],
+    "https://github.com/SayanoAI/Comfy-RVC": [
+        [
+            "Any2ListNode",
+            "AudioBatchValueNode",
+            "AudioTranscriptionNode",
+            "BatchedTranscriptionEncoderNode",
+            "DownloadAudio",
+            "ImageRepeatInterleavedNode",
+            "LatentRepeatInterleavedNode",
+            "List2AnyNode",
+            "LoadHubertModel",
+            "LoadPitchExtractionParams",
+            "LoadRVCModelNode",
+            "LoadWhisperModelNode",
+            "MergeAudioNode",
+            "MergeImageBatches",
+            "MergeLatentBatches",
+            "MuseAudioFeatureExtractionNode",
+            "MuseImageFeatureExtractionNode",
+            "MuseTalkNode",
+            "RVC-Studio.LoadAudio",
+            "RVC-Studio.PreviewAudio",
+            "RVCNode",
+            "RVCProcessDatasetNode",
+            "RVCTrainModelNode",
+            "SimpleMathNode",
+            "SliceNode",
+            "SortImagesNode",
+            "UVR5Node",
+            "ZipNode"
+        ],
+        {
+            "title_aux": "Comfy-RVC"
+        }
+    ],
+    "https://github.com/Scholar01/ComfyUI-Keyframe": [
+        [
+            "KeyframeApply",
+            "KeyframeInterpolationPart",
+            "KeyframePart"
+        ],
+        {
+            "title_aux": "SComfyUI-Keyframe"
+        }
+    ],
+    "https://github.com/Scorpinaus/ComfyUI-DiffusersLoader": [
+        [
+            "CombinedDiffusersLoader",
+            "DiffusersClipLoader",
+            "DiffusersUNETLoader",
+            "DiffusersVAELoader"
+        ],
+        {
+            "title_aux": "ComfyUI-DiffusersLoader"
+        }
+    ],
+    "https://github.com/ScreamingHawk/comfyui-ollama-prompt-encode": [
+        [
+            "OllamaCLIPTextEncode",
+            "OllamaPromptGenerator"
+        ],
+        {
+            "author": "Michael Standen",
+            "description": "Use AI to generate prompts and perform CLIP text encoding",
+            "nickname": "Ollama Prompt Encode",
+            "title": "Ollama Prompt Encode",
+            "title_aux": "Ollama Prompt Encode"
+        }
+    ],
+    "https://github.com/SeaArtLab/ComfyUI-Long-CLIP": [
+        [
+            "SeaArtLongClip",
+            "SeaArtLongXLClipMerge"
+        ],
+        {
+            "title_aux": "ComfyUI-Long-CLIP"
+        }
+    ],
+    "https://github.com/SeargeDP/ComfyUI_Searge_LLM": [
+        [
+            "Searge_AdvOptionsNode",
+            "Searge_LLM_Node",
+            "Searge_Output_Node"
+        ],
+        {
+            "title_aux": "Searge-LLM for ComfyUI v1.0"
+        }
+    ],
+    "https://github.com/SeargeDP/SeargeSDXL": [
+        [
+            "SeargeAdvancedParameters",
+            "SeargeCheckpointLoader",
+            "SeargeConditionMixing",
+            "SeargeConditioningMuxer2",
+            "SeargeConditioningMuxer5",
+            "SeargeConditioningParameters",
+            "SeargeControlnetAdapterV2",
+            "SeargeControlnetModels",
+            "SeargeCustomAfterUpscaling",
+            "SeargeCustomAfterVaeDecode",
+            "SeargeCustomPromptMode",
+            "SeargeDebugPrinter",
+            "SeargeEnablerInputs",
+            "SeargeFloatConstant",
+            "SeargeFloatMath",
+            "SeargeFloatPair",
+            "SeargeFreeU",
+            "SeargeGenerated1",
+            "SeargeGenerationParameters",
+            "SeargeHighResolution",
+            "SeargeImage2ImageAndInpainting",
+            "SeargeImageAdapterV2",
+            "SeargeImageSave",
+            "SeargeImageSaving",
+            "SeargeInput1",
+            "SeargeInput2",
+            "SeargeInput3",
+            "SeargeInput4",
+            "SeargeInput5",
+            "SeargeInput6",
+            "SeargeInput7",
+            "SeargeIntegerConstant",
+            "SeargeIntegerMath",
+            "SeargeIntegerPair",
+            "SeargeIntegerScaler",
+            "SeargeLatentMuxer3",
+            "SeargeLoraLoader",
+            "SeargeLoras",
+            "SeargeMagicBox",
+            "SeargeModelSelector",
+            "SeargeOperatingMode",
+            "SeargeOutput1",
+            "SeargeOutput2",
+            "SeargeOutput3",
+            "SeargeOutput4",
+            "SeargeOutput5",
+            "SeargeOutput6",
+            "SeargeOutput7",
+            "SeargeParameterProcessor",
+            "SeargePipelineStart",
+            "SeargePipelineTerminator",
+            "SeargePreviewImage",
+            "SeargePromptAdapterV2",
+            "SeargePromptCombiner",
+            "SeargePromptStyles",
+            "SeargePromptText",
+            "SeargeSDXLBasePromptEncoder",
+            "SeargeSDXLImage2ImageSampler",
+            "SeargeSDXLImage2ImageSampler2",
+            "SeargeSDXLPromptEncoder",
+            "SeargeSDXLRefinerPromptEncoder",
+            "SeargeSDXLSampler",
+            "SeargeSDXLSampler2",
+            "SeargeSDXLSamplerV3",
+            "SeargeSamplerAdvanced",
+            "SeargeSamplerInputs",
+            "SeargeSaveFolderInputs",
+            "SeargeSeparator",
+            "SeargeStylePreprocessor",
+            "SeargeTextInputV2",
+            "SeargeUpscaleModelLoader",
+            "SeargeUpscaleModels",
+            "SeargeVAELoader"
+        ],
+        {
+            "title_aux": "SeargeSDXL"
+        }
+    ],
+    "https://github.com/Seedsa/Fooocus_Nodes": [
+        [
+            "BasicScheduler",
+            "CLIPLoader",
+            "CLIPMergeSimple",
+            "CLIPSave",
+            "CLIPSetLastLayer",
+            "CLIPTextEncode",
+            "CLIPTextEncodeSDXL",
+            "CLIPTextEncodeSDXLRefiner",
+            "CLIPVisionEncode",
+            "CLIPVisionLoader",
+            "Canny",
+            "CheckpointLoader",
+            "CheckpointLoaderSimple",
+            "CheckpointSave",
+            "ConditioningAverage",
+            "ConditioningCombine",
+            "ConditioningConcat",
+            "ConditioningSetArea",
+            "ConditioningSetAreaPercentage",
+            "ConditioningSetMask",
+            "ConditioningSetTimestepRange",
+            "ConditioningZeroOut",
+            "ControlNetApply",
+            "ControlNetApplyAdvanced",
+            "ControlNetLoader",
+            "CropMask",
+            "DiffControlNetLoader",
+            "DiffusersLoader",
+            "DualCLIPLoader",
+            "EmptyImage",
+            "EmptyLatentImage",
+            "ExponentialScheduler",
+            "FeatherMask",
+            "FlipSigmas",
+            "Fooocus ApplyImagePrompt",
+            "Fooocus Controlnet",
+            "Fooocus Describe",
+            "Fooocus Expansion",
+            "Fooocus ImagePrompt",
+            "Fooocus Inpaint",
+            "Fooocus KSampler",
+            "Fooocus Loader",
+            "Fooocus LoraStack",
+            "Fooocus PipeOut",
+            "Fooocus PreKSampler",
+            "Fooocus Styles",
+            "Fooocus Upscale",
+            "Fooocus detailerFix",
+            "Fooocus negative",
+            "Fooocus positive",
+            "Fooocus preDetailerFix",
+            "Fooocus samLoaderPipe",
+            "Fooocus ultralyticsDetectorPipe",
+            "FreeU",
+            "FreeU_V2",
+            "GLIGENLoader",
+            "GLIGENTextBoxApply",
+            "GrowMask",
+            "HyperTile",
+            "HypernetworkLoader",
+            "ImageBatch",
+            "ImageBlend",
+            "ImageBlur",
+            "ImageColorToMask",
+            "ImageCompositeMasked",
+            "ImageCrop",
+            "ImageInvert",
+            "ImageOnlyCheckpointLoader",
+            "ImageOnlyCheckpointSave",
+            "ImagePadForOutpaint",
+            "ImageQuantize",
+            "ImageScale",
+            "ImageScaleBy",
+            "ImageScaleToTotalPixels",
+            "ImageSharpen",
+            "ImageToMask",
+            "ImageUpscaleWithModel",
+            "InpaintModelConditioning",
+            "InvertMask",
+            "JoinImageWithAlpha",
+            "KSampler",
+            "KSamplerAdvanced",
+            "KSamplerSelect",
+            "KarrasScheduler",
+            "LatentAdd",
+            "LatentBatch",
+            "LatentBatchSeedBehavior",
+            "LatentBlend",
+            "LatentComposite",
+            "LatentCompositeMasked",
+            "LatentCrop",
+            "LatentFlip",
+            "LatentFromBatch",
+            "LatentInterpolate",
+            "LatentMultiply",
+            "LatentRotate",
+            "LatentSubtract",
+            "LatentUpscale",
+            "LatentUpscaleBy",
+            "LoadImage",
+            "LoadImageMask",
+            "LoadLatent",
+            "LoraLoader",
+            "LoraLoaderModelOnly",
+            "MaskComposite",
+            "MaskToImage",
+            "ModelMergeAdd",
+            "ModelMergeBlocks",
+            "ModelMergeSimple",
+            "ModelMergeSubtract",
+            "ModelSamplingContinuousEDM",
+            "ModelSamplingDiscrete",
+            "PatchModelAddDownscale",
+            "PerpNeg",
+            "PhotoMakerEncode",
+            "PhotoMakerLoader",
+            "PolyexponentialScheduler",
+            "PorterDuffImageComposite",
+            "PreviewImage",
+            "RebatchImages",
+            "RebatchLatents",
+            "RepeatImageBatch",
+            "RepeatLatentBatch",
+            "RescaleCFG",
+            "SDTurboScheduler",
+            "SD_4XUpscale_Conditioning",
+            "SVD_img2vid_Conditioning",
+            "SamplerCustom",
+            "SamplerDPMPP_2M_SDE",
+            "SamplerDPMPP_SDE",
+            "SaveAnimatedPNG",
+            "SaveAnimatedWEBP",
+            "SaveImage",
+            "SaveLatent",
+            "SelfAttentionGuidance",
+            "SetLatentNoiseMask",
+            "SolidMask",
+            "SplitImageWithAlpha",
+            "SplitSigmas",
+            "StableZero123_Conditioning",
+            "StableZero123_Conditioning_Batched",
+            "StyleModelApply",
+            "StyleModelLoader",
+            "TomePatchModel",
+            "UNETLoader",
+            "UpscaleModelLoader",
+            "VAEDecode",
+            "VAEDecodeTiled",
+            "VAEEncode",
+            "VAEEncodeForInpaint",
+            "VAEEncodeTiled",
+            "VAELoader",
+            "VAESave",
+            "VPScheduler",
+            "VideoLinearCFGGuidance",
+            "unCLIPCheckpointLoader",
+            "unCLIPConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI Fooocus Nodes"
+        }
+    ],
+    "https://github.com/Ser-Hilary/SDXL_sizing/raw/main/conditioning_sizing_for_SDXL.py": [
+        [
+            "get_aspect_from_image",
+            "get_aspect_from_ints",
+            "sizing_node",
+            "sizing_node_basic",
+            "sizing_node_unparsed"
+        ],
+        {
+            "title_aux": "SDXL_sizing"
+        }
+    ],
+    "https://github.com/Shadetail/ComfyUI_Eagleshadow": [
+        [
+            "Batch 12 Images",
+            "Detect Transparency",
+            "Fix Checkpoint Name",
+            "ImageLinearGammaCompositeMasked",
+            "KSampler Same Noise",
+            "MaskGlow",
+            "OffsetImage",
+            "Round Float to String",
+            "SaveImageToFolder",
+            "Select ControlNet",
+            "Select Model 20",
+            "Simple Load Image Batch"
+        ],
+        {
+            "title_aux": "Eagleshadow Custom Nodes"
+        }
+    ],
+    "https://github.com/SherryXieYuchen/ComfyUI-Image-Inpainting": [
+        [
+            "CropImageByRect",
+            "INPAINT_ColorCorrection",
+            "INPAINT_CropImage",
+            "INPAINT_InpaintingWithModel",
+            "INPAINT_LoadModel",
+            "INPAINT_PasteBackCropImage",
+            "INPAINT_VAEDecode",
+            "INPAINT_VAEEncode",
+            "ImagePostprocess",
+            "ImagePreprocess"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Inpainting"
+        }
+    ],
+    "https://github.com/Shiba-2-shiba/comfyui-color-ascii-art-node": [
+        [
+            "ASCIIArtNode",
+            "ASCIIArtNodev2",
+            "ASCIIArtSinglefontNode"
+        ],
+        {
+            "author": "Shiba-2-shiba",
+            "description": "This node generates colorful ASCII art using custom character sets and fonts.",
+            "nickname": "ColorASCII",
+            "title": "Colorful ASCII Art Node",
+            "title_aux": "ComfyUI-color-ascii-art-node"
+        }
+    ],
+    "https://github.com/Shibiko-AI/ShibikoAI-ComfyUI-Tools": [
+        [
+            "Cascade",
+            "Luts",
+            "Waifu2x"
+        ],
+        {
+            "title_aux": "Shibiko AI ComfyUI Tools"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI-AstralAnimator": [
+        [
+            "AstralAnimator"
+        ],
+        {
+            "title_aux": "ComfyUI-AstralAnimator"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI-SVDResizer": [
+        [
+            "SVDRsizer"
+        ],
+        {
+            "title_aux": "ComfyUI-SVDResizer"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI_Gemini_Flash": [
+        [
+            "Gemini_Flash"
+        ],
+        {
+            "title_aux": "ComfyUI_Gemini_Flash"
+        }
+    ],
+    "https://github.com/ShmuelRonen/ComfyUI_wav2lip": [
+        [
+            "AudioPath",
+            "Wav2Lip"
+        ],
+        {
+            "title_aux": "Wav2Lip Node for ComfyUI"
+        }
+    ],
+    "https://github.com/Shraknard/ComfyUI-Remover": [
+        [
+            "Remover"
+        ],
+        {
+            "title_aux": "ComfyUI-Remover"
+        }
+    ],
+    "https://github.com/Siberpone/lazy-pony-prompter": [
+        [
+            "LPP_Deleter",
+            "LPP_Derpibooru",
+            "LPP_E621",
+            "LPP_Loader_Derpibooru",
+            "LPP_Loader_E621",
+            "LPP_Saver"
+        ],
+        {
+            "title_aux": "Lazy Pony Prompter"
+        }
+    ],
+    "https://github.com/Sieyalixnet/ComfyUI_Textarea_Loaders": [
+        [
+            "CheckPointLoader_Text",
+            "EmptyLatentImage_Text",
+            "LoRALoader_Text",
+            "LoadImage_Text"
+        ],
+        {
+            "title_aux": "ComfyUI_Textarea_Loaders"
+        }
+    ],
+    "https://github.com/Smirnov75/ComfyUI-mxToolkit": [
+        [
+            "mxSeed",
+            "mxSlider",
+            "mxSlider2D",
+            "mxStop"
+        ],
+        {
+            "title_aux": "ComfyUI-mxToolkit"
+        }
+    ],
+    "https://github.com/Smuzzies/comfyui_chatbox_overlay/raw/main/chatbox_overlay.py": [
+        [
+            "Chatbox Overlay"
+        ],
+        {
+            "title_aux": "Chatbox Overlay node for ComfyUI"
+        }
+    ],
+    "https://github.com/Smuzzies/comfyui_meme_maker": [
+        [
+            "MemeMaker"
+        ],
+        {
+            "title_aux": "comfyui_meme_maker"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI-DeepCache-Fix": [
+        [
+            "DeepCache_Fix"
+        ],
+        {
+            "title_aux": "ComfyUI-DeepCache-Fix"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI_ImageToText": [
+        [
+            "ComfyUI_ImageToText"
+        ],
+        {
+            "title_aux": "ComfyUI_ImageToText"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI_Mexx_Poster": [
+        [
+            "ComfyUI_Mexx_Poster"
+        ],
+        {
+            "title_aux": "ComfyUI_Mexx_Poster"
+        }
+    ],
+    "https://github.com/SoftMeng/ComfyUI_Mexx_Styler": [
+        [
+            "MexxSDXLPromptStyler",
+            "MexxSDXLPromptStylerAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI_Mexx_Styler"
+        }
+    ],
+    "https://github.com/Sorcerio/MBM-Music-Visualizer": [
+        [
+            "id",
+            "mbmAudioFeatureCalculator",
+            "mbmAudioLoader",
+            "mbmImageConcat",
+            "mbmPromptSequenceBuilder",
+            "mbmPromptSequenceBuilderAdv",
+            "mbmPromptSequenceInterpolator",
+            "mbmPromptSequenceLoader",
+            "mbmPromptSequenceRenderer"
+        ],
+        {
+            "title_aux": "MBM's Music Visualizer"
+        }
+    ],
+    "https://github.com/SozeInc/ComfyUI-Mobile": [
+        [
+            "Mobile_Settings_Launcher_Data",
+            "Send Notification (Mobile)",
+            "Settings Launcher (Mobile)",
+            "Ultimate Concat (Mobile)"
+        ],
+        {
+            "title_aux": "ComfyUI-Mobile"
+        }
+    ],
+    "https://github.com/SpaceKendo/ComfyUI-svd_txt2vid": [
+        [
+            "SVD_txt2vid_ConditioningwithLatent"
+        ],
+        {
+            "title_aux": "Text to video for Stable Video Diffusion in ComfyUI"
+        }
+    ],
+    "https://github.com/Stability-AI/ComfyUI-SAI_API": [
+        [
+            "Stability Conservative Upscale",
+            "Stability Control Skech",
+            "Stability Control Structure",
+            "Stability Creative Upscale",
+            "Stability Erase",
+            "Stability Image Core",
+            "Stability Image Ultra",
+            "Stability Inpainting",
+            "Stability Outpainting",
+            "Stability Remove Background",
+            "Stability SD3",
+            "Stability Search and Replace"
+        ],
+        {
+            "title_aux": "Stability API nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/Stability-AI/stability-ComfyUI-nodes": [
+        [
+            "ColorBlend",
+            "ControlLoraSave",
+            "GetImageSize"
+        ],
+        {
+            "title_aux": "stability-ComfyUI-nodes"
+        }
+    ],
+    "https://github.com/StarMagicAI/comfyui_tagger": [
+        [
+            "DownloadAndLoadFlorence2Lora_jsonL",
+            "DownloadAndLoadFlorence2Model_jsonL",
+            "Florence2ModelLoader_jsonL",
+            "Florence2Run_jsonL",
+            "Florence2Run_save_file_jsonL"
+        ],
+        {
+            "title_aux": "ComfyUI-tagger"
+        }
+    ],
+    "https://github.com/StartHua/ComfyUI_OOTDiffusion_CXH": [
+        [
+            "Ood_CXH"
+        ],
+        {
+            "title_aux": "ComfyUI_OOTDiffusion_CXH"
+        }
+    ],
+    "https://github.com/StartHua/ComfyUI_PCDMs": [
+        [
+            "PCDMS_CXH"
+        ],
+        {
+            "title_aux": "ComfyUI_PCDMs"
+        }
+    ],
+    "https://github.com/StartHua/ComfyUI_Seg_VITON": [
+        [
+            "segformer_agnostic",
+            "segformer_clothes",
+            "segformer_remove_bg",
+            "stabel_vition"
+        ],
+        {
+            "title_aux": "ComfyUI_Seg_VITON"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_CXH_joy_caption": [
+        [
+            "CXH_DownloadAndLoadFlorence2Model",
+            "CXH_Florence2Run",
+            "CXH_HG_Model_Load",
+            "CXH_Min2_6_prompt_Run",
+            "Joy_caption",
+            "Joy_caption_load"
+        ],
+        {
+            "title_aux": "Comfyui_CXH_joy_caption"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_joytag": [
+        [
+            "CXH_JoyTag"
+        ],
+        {
+            "title_aux": "Comfyui_joytag"
+        }
+    ],
+    "https://github.com/StartHua/Comfyui_segformer_b2_clothes": [
+        [
+            "segformer_b2_clothes",
+            "segformer_b3_fashion"
+        ],
+        {
+            "title_aux": "comfyui_segformer_b2_clothes"
+        }
+    ],
+    "https://github.com/Steudio/ComfyUI_Steudio": [
+        [
+            "DynamicTileMerge",
+            "DynamicTileSplit",
+            "Make Size",
+            "Make Size Latent",
+            "TileCalc"
+        ],
+        {
+            "title_aux": "ComfyUI_Steudio"
+        }
+    ],
+    "https://github.com/SuperBeastsAI/ComfyUI-SuperBeasts": [
+        [
+            "Deflicker - Experimental (SuperBeasts.AI)",
+            "HDR Effects (SuperBeasts.AI)",
+            "Image Batch Manager (SuperBeasts.AI)",
+            "Make Resized Mask Batch (SuperBeasts.AI)",
+            "Mask Batch Manager (SuperBeasts.AI)",
+            "Pixel Deflicker - Experimental (SuperBeasts.AI)",
+            "String List Manager (SuperBeasts.AI)"
+        ],
+        {
+            "title_aux": "ComfyUI-SuperBeasts"
+        }
+    ],
+    "https://github.com/SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers": [
+        [
+            "YOLO Classifier Model Loader",
+            "YOLO Classify"
+        ],
+        {
+            "title_aux": "ComfyUI_YOLO_Classifiers"
+        }
+    ],
+    "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes": [
+        [
+            "CR 8 Channel In",
+            "CR 8 Channel Out",
+            "CR Apply ControlNet",
+            "CR Apply LoRA Stack",
+            "CR Apply Model Merge",
+            "CR Apply Multi Upscale",
+            "CR Apply Multi-ControlNet",
+            "CR Arabic Text RTL",
+            "CR Aspect Ratio",
+            "CR Aspect Ratio Banners",
+            "CR Aspect Ratio SDXL",
+            "CR Aspect Ratio Social Media",
+            "CR Batch Images From List",
+            "CR Batch Process Switch",
+            "CR Binary Pattern",
+            "CR Binary To Bit List",
+            "CR Bit Schedule",
+            "CR Central Schedule",
+            "CR Checker Pattern",
+            "CR Clamp Value",
+            "CR Clip Input Switch",
+            "CR Color Bars",
+            "CR Color Gradient",
+            "CR Color Panel",
+            "CR Color Tint",
+            "CR Combine Prompt",
+            "CR Combine Schedules",
+            "CR Comic Panel Templates",
+            "CR Composite Text",
+            "CR Conditioning Input Switch",
+            "CR Conditioning Mixer",
+            "CR ControlNet Input Switch",
+            "CR Current Frame",
+            "CR Cycle Images",
+            "CR Cycle Images Simple",
+            "CR Cycle LoRAs",
+            "CR Cycle Models",
+            "CR Cycle Text",
+            "CR Cycle Text Simple",
+            "CR Data Bus In",
+            "CR Data Bus Out",
+            "CR Debatch Frames",
+            "CR Diamond Panel",
+            "CR Draw Perspective Text",
+            "CR Draw Pie",
+            "CR Draw Shape",
+            "CR Draw Text",
+            "CR Encode Scheduled Prompts",
+            "CR Feathered Border",
+            "CR Float Range List",
+            "CR Float To Integer",
+            "CR Float To String",
+            "CR Font File List",
+            "CR Get Parameter From Prompt",
+            "CR Gradient Float",
+            "CR Gradient Integer",
+            "CR Half Drop Panel",
+            "CR Halftone Filter",
+            "CR Halftone Grid",
+            "CR Hires Fix Process Switch",
+            "CR Image Border",
+            "CR Image Grid Panel",
+            "CR Image Input Switch",
+            "CR Image Input Switch (4 way)",
+            "CR Image List",
+            "CR Image List Simple",
+            "CR Image Output",
+            "CR Image Panel",
+            "CR Image Pipe Edit",
+            "CR Image Pipe In",
+            "CR Image Pipe Out",
+            "CR Image Size",
+            "CR Img2Img Process Switch",
+            "CR Increment Float",
+            "CR Increment Integer",
+            "CR Index",
+            "CR Index Increment",
+            "CR Index Multiply",
+            "CR Index Reset",
+            "CR Input Text List",
+            "CR Integer Multiple",
+            "CR Integer Range List",
+            "CR Integer To String",
+            "CR Interpolate Latents",
+            "CR Intertwine Lists",
+            "CR Keyframe List",
+            "CR Latent Batch Size",
+            "CR Latent Input Switch",
+            "CR LoRA List",
+            "CR LoRA Stack",
+            "CR Load Animation Frames",
+            "CR Load Flow Frames",
+            "CR Load GIF As List",
+            "CR Load Image List",
+            "CR Load Image List Plus",
+            "CR Load LoRA",
+            "CR Load Prompt Style",
+            "CR Load Schedule From File",
+            "CR Load Scheduled ControlNets",
+            "CR Load Scheduled LoRAs",
+            "CR Load Scheduled Models",
+            "CR Load Text List",
+            "CR Mask Text",
+            "CR Math Operation",
+            "CR Model Input Switch",
+            "CR Model List",
+            "CR Model Merge Stack",
+            "CR Module Input",
+            "CR Module Output",
+            "CR Module Pipe Loader",
+            "CR Multi Upscale Stack",
+            "CR Multi-ControlNet Stack",
+            "CR Multiline Text",
+            "CR Output Flow Frames",
+            "CR Output Schedule To File",
+            "CR Overlay Text",
+            "CR Overlay Transparent Image",
+            "CR Page Layout",
+            "CR Pipe Switch",
+            "CR Polygons",
+            "CR Prompt List",
+            "CR Prompt List Keyframes",
+            "CR Prompt Scheduler",
+            "CR Prompt Text",
+            "CR Radial Gradient",
+            "CR Random Hex Color",
+            "CR Random LoRA Stack",
+            "CR Random Multiline Colors",
+            "CR Random Multiline Values",
+            "CR Random Panel Codes",
+            "CR Random RGB",
+            "CR Random RGB Gradient",
+            "CR Random Shape Pattern",
+            "CR Random Weight LoRA",
+            "CR Repeater",
+            "CR SD1.5 Aspect Ratio",
+            "CR SDXL Aspect Ratio",
+            "CR SDXL Base Prompt Encoder",
+            "CR SDXL Prompt Mix Presets",
+            "CR SDXL Prompt Mixer",
+            "CR SDXL Style Text",
+            "CR Save Text To File",
+            "CR Schedule Input Switch",
+            "CR Schedule To ScheduleList",
+            "CR Seamless Checker",
+            "CR Seed",
+            "CR Seed to Int",
+            "CR Select Font",
+            "CR Select ISO Size",
+            "CR Select Model",
+            "CR Select Resize Method",
+            "CR Set Switch From String",
+            "CR Set Value On Binary",
+            "CR Set Value On Boolean",
+            "CR Set Value on String",
+            "CR Simple Banner",
+            "CR Simple Binary Pattern",
+            "CR Simple Binary Pattern Simple",
+            "CR Simple Image Compare",
+            "CR Simple List",
+            "CR Simple Meme Template",
+            "CR Simple Prompt List",
+            "CR Simple Prompt List Keyframes",
+            "CR Simple Prompt Scheduler",
+            "CR Simple Schedule",
+            "CR Simple Text Panel",
+            "CR Simple Text Scheduler",
+            "CR Simple Text Watermark",
+            "CR Simple Titles",
+            "CR Simple Value Scheduler",
+            "CR Split String",
+            "CR Starburst Colors",
+            "CR Starburst Lines",
+            "CR String To Boolean",
+            "CR String To Combo",
+            "CR String To Number",
+            "CR Style Bars",
+            "CR Switch Model and CLIP",
+            "CR Text",
+            "CR Text Blacklist",
+            "CR Text Concatenate",
+            "CR Text Cycler",
+            "CR Text Input Switch",
+            "CR Text Input Switch (4 way)",
+            "CR Text Length",
+            "CR Text List",
+            "CR Text List Simple",
+            "CR Text List To String",
+            "CR Text Operation",
+            "CR Text Replace",
+            "CR Text Scheduler",
+            "CR Thumbnail Preview",
+            "CR Trigger",
+            "CR Upscale Image",
+            "CR VAE Decode",
+            "CR VAE Input Switch",
+            "CR Value",
+            "CR Value Cycler",
+            "CR Value Scheduler",
+            "CR Vignette Filter",
+            "CR XY From Folder",
+            "CR XY Index",
+            "CR XY Interpolate",
+            "CR XY List",
+            "CR XY Product",
+            "CR XY Save Grid Image",
+            "CR XYZ Index",
+            "CR_Aspect Ratio For Print"
+        ],
+        {
+            "author": "Suzie1",
+            "description": "175 custom nodes for artists, designers and animators.",
+            "nickname": "Comfyroll Studio",
+            "title": "Comfyroll Studio",
+            "title_aux": "Comfyroll Studio"
+        }
+    ],
+    "https://github.com/Sxela/ComfyWarp": [
+        [
+            "ExtractOpticalFlow",
+            "LoadFrame",
+            "LoadFrameFromDataset",
+            "LoadFrameFromFolder",
+            "LoadFramePairFromDataset",
+            "LoadFrameSequence",
+            "MakeFrameDataset",
+            "MixConsistencyMaps",
+            "OffsetNumber",
+            "ResizeToFit",
+            "SaveFrame",
+            "WarpFrame"
+        ],
+        {
+            "title_aux": "ComfyWarp"
+        }
+    ],
+    "https://github.com/TGu-97/ComfyUI-TGu-utils": [
+        [
+            "MPNReroute",
+            "MPNSwitch",
+            "PNSwitch"
+        ],
+        {
+            "title_aux": "TGu Utilities"
+        }
+    ],
+    "https://github.com/THtianhao/ComfyUI-FaceChain": [
+        [
+            "FC CropAndPaste",
+            "FC CropBottom",
+            "FC CropToOrigin",
+            "FC FaceDetectCrop",
+            "FC FaceFusion",
+            "FC FaceSegAndReplace",
+            "FC FaceSegment",
+            "FC MaskOP",
+            "FC RemoveCannyFace",
+            "FC ReplaceByMask",
+            "FC StyleLoraLoad"
+        ],
+        {
+            "title_aux": "ComfyUI-FaceChain"
+        }
+    ],
+    "https://github.com/THtianhao/ComfyUI-Portrait-Maker": [
+        [
+            "PM_BoxCropImage",
+            "PM_ColorTransfer",
+            "PM_ExpandMaskBox",
+            "PM_FaceFusion",
+            "PM_FaceShapMatch",
+            "PM_FaceSkin",
+            "PM_GetImageInfo",
+            "PM_ImageResizeTarget",
+            "PM_ImageScaleShort",
+            "PM_MakeUpTransfer",
+            "PM_MaskDilateErode",
+            "PM_MaskMerge2Image",
+            "PM_PortraitEnhancement",
+            "PM_RatioMerge2Image",
+            "PM_ReplaceBoxImg",
+            "PM_RetinaFace",
+            "PM_Similarity",
+            "PM_SkinRetouching",
+            "PM_SuperColorTransfer",
+            "PM_SuperMakeUpTransfer"
+        ],
+        {
+            "title_aux": "ComfyUI-Portrait-Maker"
+        }
+    ],
+    "https://github.com/TJ16th/comfyUI_TJ_NormalLighting": [
+        [
+            "EulerLightingNode"
+        ],
+        {
+            "title_aux": "comfyUI_TJ_NormalLighting"
+        }
+    ],
+    "https://github.com/TMElyralab/Comfyui-MusePose": [
+        [
+            "filenamestring",
+            "musepose",
+            "museposealign"
+        ],
+        {
+            "title_aux": "Comfyui-MusePose"
+        }
+    ],
+    "https://github.com/TRI3D-LC/ComfyUI-MiroBoard": [
+        [
+            "add-image-miro-board"
+        ],
+        {
+            "title_aux": "ComfyUI-MiroBoard"
+        }
+    ],
+    "https://github.com/TRI3D-LC/tri3d-comfyui-nodes": [
+        [
+            "get_histogram_limits",
+            "main_light_layer",
+            "main_scaled_paste",
+            "simple_rescale_histogram",
+            "tri3d-HistogramEqualization",
+            "tri3d-LAB_2_RGB",
+            "tri3d-RGB_2_LAB",
+            "tri3d-adjust-neck",
+            "tri3d-atr-parse",
+            "tri3d-atr-parse-batch",
+            "tri3d-bgremove-mega",
+            "tri3d-clean_mask",
+            "tri3d-clear-memory",
+            "tri3d-clipdrop-bgremove-api",
+            "tri3d-clipdrop-bgreplace-api",
+            "tri3d-composite-image-splitter",
+            "tri3d-dwpose",
+            "tri3d-extract-hand",
+            "tri3d-extract-masks-batch",
+            "tri3d-extract-parts-batch",
+            "tri3d-extract-parts-batch2",
+            "tri3d-extract-parts-mask-batch",
+            "tri3d-extract-pascal-parts-batch",
+            "tri3d-extract_pose_part",
+            "tri3d-face-recognise",
+            "tri3d-flexible_color_extract",
+            "tri3d-float-to-image",
+            "tri3d-fuzzification",
+            "tri3d-get_histogram_limits",
+            "tri3d-get_mean_and_standard_deviation",
+            "tri3d-get_threshold_for_bg_swap",
+            "tri3d-image-mask-2-box",
+            "tri3d-image-mask-box-2-image",
+            "tri3d-interaction-canny",
+            "tri3d-levindabhi-cloth-seg",
+            "tri3d-load-pose-json",
+            "tri3d-load_AEMatter_Model",
+            "tri3d-luminosity-match",
+            "tri3d-main_transparent_background",
+            "tri3d-photoroom-bgremove-api",
+            "tri3d-pose-adaption",
+            "tri3d-pose-to-image",
+            "tri3d-position-hands",
+            "tri3d-position-parts-batch",
+            "tri3d-position-pascal-parts-batch",
+            "tri3d-recolor-mask",
+            "tri3d-recolor-mask-LAB_space",
+            "tri3d-recolor-mask-LAB_space_manual",
+            "tri3d-recolor-mask-RGB_space",
+            "tri3d-renormalize_array",
+            "tri3d-run_AEMatter_inference",
+            "tri3d-scaled-paste",
+            "tri3d-scaled-paste_unsafe",
+            "tri3d-simple_bg_swap",
+            "tri3d-simple_rescale_histogram",
+            "tri3d-skin-feathered-padded-mask",
+            "tri3d-swap-pixels",
+            "tri3d_extract_facer_mask",
+            "tri3d_fill_mask",
+            "tri3d_is_only_trouser",
+            "tri3d_position_pose_part"
+        ],
+        {
+            "title_aux": "tri3d-comfyui-nodes"
+        }
+    ],
+    "https://github.com/TTPlanetPig/Comfyui_TTP_CN_Preprocessor": [
+        [
+            "TTPlanet_Tile_Preprocessor_GF",
+            "TTPlanet_Tile_Preprocessor_Simple",
+            "TTPlanet_Tile_Preprocessor_cufoff",
+            "TTPlanet_inpainting_Preprecessor"
+        ],
+        {
+            "title_aux": "for comfyui image proprocessor"
+        }
+    ],
+    "https://github.com/TTPlanetPig/Comfyui_TTP_Toolset": [
+        [
+            "TTP_CoordinateSplitter",
+            "TTP_Image_Assy",
+            "TTP_Image_Tile_Batch",
+            "TTP_Tile_image_size",
+            "TTP_condsetarea_merge",
+            "TTP_condtobatch",
+            "TTPlanet_Tile_Preprocessor_Simple"
+        ],
+        {
+            "title_aux": "Comfyui_TTP_Toolset"
+        }
+    ],
+    "https://github.com/TW-CUI/TW-CUI-Util": [
+        [
+            "TWCUI_Util_CommonSDXLResolutions",
+            "TWCUI_Util_FloatLiteral",
+            "TWCUI_Util_GenerationParameters",
+            "TWCUI_Util_GenerationPrompts",
+            "TWCUI_Util_IntLiteral",
+            "TWCUI_Util_ModelVAELORALoader",
+            "TWCUI_Util_ModelVAELoader",
+            "TWCUI_Util_MultilineStringLiteral",
+            "TWCUI_Util_SaveImage",
+            "TWCUI_Util_SaveImageAdvanced",
+            "TWCUI_Util_StringLiteral"
+        ],
+        {
+            "title_aux": "TW-CUI-Util"
+        }
+    ],
+    "https://github.com/TaiTair/comfyui-simswap": [
+        [
+            "Simswap",
+            "SimswapBuildFaceModel",
+            "SimswapFaceSwapOpt",
+            "SimswapImageDublicator",
+            "SimswapLoadFaceModel",
+            "SimswapMaskHelper",
+            "SimswapOptions",
+            "SimswapRestoreFace",
+            "SimswapSaveFaceModel"
+        ],
+        {
+            "title_aux": "Simswap Node for ComfyUI"
+        }
+    ],
+    "https://github.com/Taremin/comfyui-prompt-extranetworks": [
+        [
+            "PromptExtraNetworks"
+        ],
+        {
+            "title_aux": "ComfyUI Prompt ExtraNetworks"
+        }
+    ],
+    "https://github.com/Taremin/comfyui-string-tools": [
+        [
+            "StringToolsBalancedChoice",
+            "StringToolsConcat",
+            "StringToolsRandomChoice",
+            "StringToolsString",
+            "StringToolsText"
+        ],
+        {
+            "title_aux": "ComfyUI String Tools"
+        }
+    ],
+    "https://github.com/Taremin/webui-monaco-prompt": [
+        [
+            "WebuiMonacoPromptFind",
+            "WebuiMonacoPromptReplace"
+        ],
+        {
+            "title_aux": "WebUI Monaco Prompt"
+        }
+    ],
+    "https://github.com/TeaCrab/ComfyUI-TeaNodes": [
+        [
+            "TC_ColorFill",
+            "TC_CropTo",
+            "TC_EqualizeCLAHE",
+            "TC_ImageResize",
+            "TC_ImageScale",
+            "TC_KorniaGamma",
+            "TC_RandomColorFill",
+            "TC_SizeApproximation"
+        ],
+        {
+            "title_aux": "ComfyUI-TeaNodes"
+        }
+    ],
+    "https://github.com/TechnoByteJS/ComfyUI-TechNodes": [
+        [
+            "ClipQuant",
+            "MBW Layers String",
+            "ModelQuant",
+            "SD1 MBW Layers",
+            "SD1 MBW Layers Binary",
+            "SDNext Merge",
+            "SDXL MBW Layers",
+            "SDXL MBW Layers Binary",
+            "VAE Merge",
+            "VAEQuant",
+            "VAERepeat"
+        ],
+        {
+            "title_aux": "TechNodes"
+        }
+    ],
+    "https://github.com/TemryL/ComfyS3": [
+        [
+            "DownloadFileS3",
+            "LoadImageS3",
+            "SaveImageS3",
+            "SaveVideoFilesS3",
+            "UploadFileS3"
+        ],
+        {
+            "title_aux": "ComfyS3"
+        }
+    ],
+    "https://github.com/TemryL/ComfyUI-IDM-VTON": [
+        [
+            "IDM-VTON",
+            "PipelineLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-IDM-VTON [WIP]"
+        }
+    ],
+    "https://github.com/TencentQQGYLab/ComfyUI-ELLA": [
+        [
+            "CombineClipEllaEmbeds",
+            "ConcatConditionEllaEmbeds",
+            "ConditionToEllaEmbeds",
+            "ELLALoader",
+            "EllaApply",
+            "EllaCombineEmbeds",
+            "EllaEncode",
+            "EllaTextEncode",
+            "SetEllaTimesteps",
+            "T5TextEncode #ELLA",
+            "T5TextEncoderLoader #ELLA"
+        ],
+        {
+            "title_aux": "ComfyUI-ELLA"
+        }
+    ],
+    "https://github.com/TheBarret/ZSuite": [
+        [
+            "ZSuite: Prompter",
+            "ZSuite: RF Noise",
+            "ZSuite: SeedMod"
+        ],
+        {
+            "title_aux": "ZSuite"
+        }
+    ],
+    "https://github.com/TheBill2001/comfyui-upscale-by-model": [
+        [
+            "UpscaleImageByUsingModel"
+        ],
+        {
+            "author": "Tr\u1ea7n Nam Tu\u1ea5n",
+            "description": "This custom node allow upscaling an image by a factor using a model.",
+            "nickname": "Upscale Image By (Using Model)",
+            "title": "Upscale Image By (Using Model)",
+            "title_aux": "comfyui-upscale-by-model"
+        }
+    ],
+    "https://github.com/TheMistoAI/ComfyUI-Anyline": [
+        [
+            "AnyLinePreprocessor"
+        ],
+        {
+            "title_aux": "Anyline"
+        }
+    ],
+    "https://github.com/ThereforeGames/ComfyUI-Unprompted": [
+        [
+            "Unprompted"
+        ],
+        {
+            "title_aux": "ComfyUI-Unprompted"
+        }
+    ],
+    "https://github.com/TinyTerra/ComfyUI_tinyterraNodes": [
+        [
+            "ttN KSampler_v2",
+            "ttN advPlot combo",
+            "ttN advPlot range",
+            "ttN advPlot string",
+            "ttN advanced xyPlot",
+            "ttN compareInput",
+            "ttN concat",
+            "ttN conditioning",
+            "ttN debugInput",
+            "ttN float",
+            "ttN hiresfixScale",
+            "ttN imageOutput",
+            "ttN imageREMBG",
+            "ttN int",
+            "ttN multiModelMerge",
+            "ttN pipe2BASIC",
+            "ttN pipe2DETAILER",
+            "ttN pipeEDIT",
+            "ttN pipeEncodeConcat",
+            "ttN pipeIN",
+            "ttN pipeKSampler",
+            "ttN pipeKSamplerAdvanced",
+            "ttN pipeKSamplerAdvanced_v2",
+            "ttN pipeKSamplerSDXL",
+            "ttN pipeKSamplerSDXL_v2",
+            "ttN pipeKSampler_v2",
+            "ttN pipeLoader",
+            "ttN pipeLoaderSDXL",
+            "ttN pipeLoaderSDXL_v2",
+            "ttN pipeLoader_v2",
+            "ttN pipeLoraStack",
+            "ttN pipeOUT",
+            "ttN seed",
+            "ttN text",
+            "ttN text3BOX_3WAYconcat",
+            "ttN text7BOX_concat",
+            "ttN textCycleLine",
+            "ttN textDebug",
+            "ttN textOutput",
+            "ttN tinyLoader",
+            "ttN xyPlot"
+        ],
+        {
+            "author": "tinyterra",
+            "description": "This extension offers extensive xyPlot, various pipe nodes, fullscreen image viewer based on node history, dynamic widgets, interface customization, and more.",
+            "nickname": "\ud83c\udf0f",
+            "nodename_pattern": "^ttN ",
+            "title": "tinyterraNodes",
+            "title_aux": "ComfyUI_tinyterraNodes"
+        }
+    ],
+    "https://github.com/TripleHeadedMonkey/ComfyUI_MileHighStyler": [
+        [
+            "menus"
+        ],
+        {
+            "title_aux": "ComfyUI_MileHighStyler"
+        }
+    ],
+    "https://github.com/Tropfchen/ComfyUI-Embedding_Picker": [
+        [
+            "EmbeddingPicker"
+        ],
+        {
+            "title_aux": "Embedding Picker"
+        }
+    ],
+    "https://github.com/Tropfchen/ComfyUI-yaResolutionSelector": [
+        [
+            "YARS",
+            "YARSAdv"
+        ],
+        {
+            "title_aux": "YARS: Yet Another Resolution Selector"
+        }
+    ],
+    "https://github.com/Trung0246/ComfyUI-0246": [
+        [
+            "0246.Beautify",
+            "0246.BoxRange",
+            "0246.CastReroute",
+            "0246.Cloud",
+            "0246.Count",
+            "0246.Highway",
+            "0246.HighwayBatch",
+            "0246.Hold",
+            "0246.Hub",
+            "0246.Junction",
+            "0246.JunctionBatch",
+            "0246.Loop",
+            "0246.Merge",
+            "0246.Meta",
+            "0246.RandomInt",
+            "0246.Script",
+            "0246.ScriptNode",
+            "0246.ScriptPile",
+            "0246.ScriptRule",
+            "0246.Stringify",
+            "0246.Switch",
+            "0246.Tag"
+        ],
+        {
+            "author": "Trung0246",
+            "description": "Random nodes for ComfyUI I made to solve my struggle with ComfyUI (ex: pipe, process). Have varying quality.",
+            "nickname": "ComfyUI-0246",
+            "title": "ComfyUI-0246",
+            "title_aux": "ComfyUI-0246"
+        }
+    ],
+    "https://github.com/Ttl/ComfyUi_NNLatentUpscale": [
+        [
+            "NNLatentUpscale"
+        ],
+        {
+            "preemptions": [
+                "NNLatentUpscale"
+            ],
+            "title_aux": "ComfyUI Neural Network Latent Upscale"
+        }
+    ],
+    "https://github.com/TylerZoro/SD3-Scaling": [
+        [
+            "SD3ImageScaleToTotalPixels"
+        ],
+        {
+            "title_aux": "SD3-Scaling"
+        }
+    ],
+    "https://github.com/Umikaze-job/select_folder_path_easy": [
+        [
+            "SelectFolderPathEasy"
+        ],
+        {
+            "title_aux": "select_folder_path_easy"
+        }
+    ],
+    "https://github.com/VAST-AI-Research/ComfyUI-Tripo": [
+        [
+            "TripoAPIDraft",
+            "TripoAnimateRetargetNode",
+            "TripoAnimateRigNode",
+            "TripoGLBViewer",
+            "TripoRefineModel"
+        ],
+        {
+            "title_aux": "Tripo for ComfyUI"
+        }
+    ],
+    "https://github.com/Visionatrix/ComfyUI-Visionatrix": [
+        [
+            "VixUiCheckbox",
+            "VixUiCheckboxLogic",
+            "VixUiList",
+            "VixUiListLogic",
+            "VixUiPrompt",
+            "VixUiRangeFloat",
+            "VixUiRangeInt",
+            "VixUiRangeScaleFloat",
+            "VixUiWorkflowMetadata"
+        ],
+        {
+            "title_aux": "ComfyUI-Visionatrix"
+        }
+    ],
+    "https://github.com/WASasquatch/ASTERR": [
+        [
+            "ASTERR",
+            "SaveASTERR"
+        ],
+        {
+            "title_aux": "ASTERR"
+        }
+    ],
+    "https://github.com/WASasquatch/ComfyUI_Preset_Merger": [
+        [
+            "Preset_Model_Merge"
+        ],
+        {
+            "title_aux": "ComfyUI Preset Merger"
+        }
+    ],
+    "https://github.com/WASasquatch/FreeU_Advanced": [
+        [
+            "FreeU (Advanced)",
+            "FreeU_V2 (Advanced)"
+        ],
+        {
+            "title_aux": "FreeU_Advanced"
+        }
+    ],
+    "https://github.com/WASasquatch/PPF_Noise_ComfyUI": [
+        [
+            "Blend Latents (PPF Noise)",
+            "Cross-Hatch Power Fractal (PPF Noise)",
+            "Images as Latents (PPF Noise)",
+            "Perlin Power Fractal Latent (PPF Noise)"
+        ],
+        {
+            "title_aux": "PPF_Noise_ComfyUI"
+        }
+    ],
+    "https://github.com/WASasquatch/PowerNoiseSuite": [
+        [
+            "Blend Latents (PPF Noise)",
+            "Cross-Hatch Power Fractal (PPF Noise)",
+            "Cross-Hatch Power Fractal Settings (PPF Noise)",
+            "Images as Latents (PPF Noise)",
+            "Latent Adjustment (PPF Noise)",
+            "Latents to CPU (PPF Noise)",
+            "Linear Cross-Hatch Power Fractal (PPF Noise)",
+            "Perlin Power Fractal Latent (PPF Noise)",
+            "Perlin Power Fractal Settings (PPF Noise)",
+            "Power KSampler Advanced (PPF Noise)",
+            "Power-Law Noise (PPF Noise)"
+        ],
+        {
+            "title_aux": "Power Noise Suite for ComfyUI"
+        }
+    ],
+    "https://github.com/WASasquatch/WAS_Extras": [
+        [
+            "BLVAEEncode",
+            "CLIPTextEncodeList",
+            "CLIPTextEncodeSequence2",
+            "ConditioningBlend",
+            "DebugInput",
+            "KSamplerSeq",
+            "KSamplerSeq2",
+            "VAEEncodeForInpaint (WAS)",
+            "VividSharpen"
+        ],
+        {
+            "title_aux": "WAS_Extras"
+        }
+    ],
+    "https://github.com/WASasquatch/was-node-suite-comfyui": [
+        [
+            "BLIP Analyze Image",
+            "BLIP Model Loader",
+            "Blend Latents",
+            "Boolean To Text",
+            "Bounded Image Blend",
+            "Bounded Image Blend with Mask",
+            "Bounded Image Crop",
+            "Bounded Image Crop with Mask",
+            "Bus Node",
+            "CLIP Input Switch",
+            "CLIP Vision Input Switch",
+            "CLIPSEG2",
+            "CLIPSeg Batch Masking",
+            "CLIPSeg Masking",
+            "CLIPSeg Model Loader",
+            "CLIPTextEncode (BlenderNeko Advanced + NSP)",
+            "CLIPTextEncode (NSP)",
+            "Cache Node",
+            "Checkpoint Loader",
+            "Checkpoint Loader (Simple)",
+            "Conditioning Input Switch",
+            "Constant Number",
+            "Control Net Model Input Switch",
+            "Convert Masks to Images",
+            "Create Grid Image",
+            "Create Grid Image from Batch",
+            "Create Morph Image",
+            "Create Morph Image from Path",
+            "Create Video from Path",
+            "Debug Number to Console",
+            "Dictionary to Console",
+            "Diffusers Hub Model Down-Loader",
+            "Diffusers Model Loader",
+            "Export API",
+            "HSL to Hex",
+            "Hex to HSL",
+            "Image Analyze",
+            "Image Aspect Ratio",
+            "Image Batch",
+            "Image Blank",
+            "Image Blend",
+            "Image Blend by Mask",
+            "Image Blending Mode",
+            "Image Bloom Filter",
+            "Image Bounds",
+            "Image Bounds to Console",
+            "Image Canny Filter",
+            "Image Chromatic Aberration",
+            "Image Color Palette",
+            "Image Crop Face",
+            "Image Crop Location",
+            "Image Crop Square Location",
+            "Image Displacement Warp",
+            "Image Dragan Photography Filter",
+            "Image Edge Detection Filter",
+            "Image Film Grain",
+            "Image Filter Adjustments",
+            "Image Flip",
+            "Image Generate Gradient",
+            "Image Gradient Map",
+            "Image High Pass Filter",
+            "Image History Loader",
+            "Image Input Switch",
+            "Image Levels Adjustment",
+            "Image Load",
+            "Image Lucy Sharpen",
+            "Image Median Filter",
+            "Image Mix RGB Channels",
+            "Image Monitor Effects Filter",
+            "Image Nova Filter",
+            "Image Padding",
+            "Image Paste Crop",
+            "Image Paste Crop by Location",
+            "Image Paste Face",
+            "Image Perlin Noise",
+            "Image Perlin Power Fractal",
+            "Image Pixelate",
+            "Image Power Noise",
+            "Image Rembg (Remove Background)",
+            "Image Remove Background (Alpha)",
+            "Image Remove Color",
+            "Image Resize",
+            "Image Rotate",
+            "Image Rotate Hue",
+            "Image SSAO (Ambient Occlusion)",
+            "Image SSDO (Direct Occlusion)",
+            "Image Save",
+            "Image Seamless Texture",
+            "Image Select Channel",
+            "Image Select Color",
+            "Image Send HTTP",
+            "Image Shadows and Highlights",
+            "Image Size to Number",
+            "Image Stitch",
+            "Image Style Filter",
+            "Image Threshold",
+            "Image Tiled",
+            "Image Transpose",
+            "Image Voronoi Noise Filter",
+            "Image fDOF Filter",
+            "Image to Latent Mask",
+            "Image to Noise",
+            "Image to Seed",
+            "Images to Linear",
+            "Images to RGB",
+            "Inset Image Bounds",
+            "Integer place counter",
+            "KSampler (WAS)",
+            "KSampler Cycle",
+            "Latent Batch",
+            "Latent Input Switch",
+            "Latent Noise Injection",
+            "Latent Size to Number",
+            "Latent Upscale by Factor (WAS)",
+            "Load Cache",
+            "Load Image Batch",
+            "Load Lora",
+            "Load Text File",
+            "Logic Boolean",
+            "Logic Boolean Primitive",
+            "Logic Comparison AND",
+            "Logic Comparison OR",
+            "Logic Comparison XOR",
+            "Logic NOT",
+            "Lora Input Switch",
+            "Lora Loader",
+            "Mask Arbitrary Region",
+            "Mask Batch",
+            "Mask Batch to Mask",
+            "Mask Ceiling Region",
+            "Mask Crop Dominant Region",
+            "Mask Crop Minority Region",
+            "Mask Crop Region",
+            "Mask Dilate Region",
+            "Mask Dominant Region",
+            "Mask Erode Region",
+            "Mask Fill Holes",
+            "Mask Floor Region",
+            "Mask Gaussian Region",
+            "Mask Invert",
+            "Mask Minority Region",
+            "Mask Paste Region",
+            "Mask Smooth Region",
+            "Mask Threshold Region",
+            "Masks Add",
+            "Masks Combine Batch",
+            "Masks Combine Regions",
+            "Masks Subtract",
+            "MiDaS Depth Approximation",
+            "MiDaS Mask Image",
+            "MiDaS Model Loader",
+            "Model Input Switch",
+            "Number Counter",
+            "Number Input Condition",
+            "Number Input Switch",
+            "Number Multiple Of",
+            "Number Operation",
+            "Number PI",
+            "Number to Float",
+            "Number to Int",
+            "Number to Seed",
+            "Number to String",
+            "Number to Text",
+            "Prompt Multiple Styles Selector",
+            "Prompt Styles Selector",
+            "Random Number",
+            "SAM Image Mask",
+            "SAM Model Loader",
+            "SAM Parameters",
+            "SAM Parameters Combine",
+            "Samples Passthrough (Stat System)",
+            "Save Text File",
+            "Seed",
+            "String to Text",
+            "Tensor Batch to Image",
+            "Text Add Token by Input",
+            "Text Add Tokens",
+            "Text Compare",
+            "Text Concatenate",
+            "Text Contains",
+            "Text Dictionary Convert",
+            "Text Dictionary Get",
+            "Text Dictionary Keys",
+            "Text Dictionary New",
+            "Text Dictionary To Text",
+            "Text Dictionary Update",
+            "Text File History Loader",
+            "Text Find",
+            "Text Find and Replace",
+            "Text Find and Replace Input",
+            "Text Find and Replace by Dictionary",
+            "Text Input Switch",
+            "Text List",
+            "Text List Concatenate",
+            "Text List to Text",
+            "Text Load Line From File",
+            "Text Multiline",
+            "Text Multiline (Code Compatible)",
+            "Text Parse A1111 Embeddings",
+            "Text Parse Noodle Soup Prompts",
+            "Text Parse Tokens",
+            "Text Random Line",
+            "Text Random Prompt",
+            "Text Shuffle",
+            "Text Sort",
+            "Text String",
+            "Text String Truncate",
+            "Text to Conditioning",
+            "Text to Console",
+            "Text to Number",
+            "Text to String",
+            "True Random.org Number Generator",
+            "Upscale Model Loader",
+            "Upscale Model Switch",
+            "VAE Input Switch",
+            "Video Dump Frames",
+            "Write to GIF",
+            "Write to Video",
+            "unCLIP Checkpoint Loader"
+        ],
+        {
+            "title_aux": "WAS Node Suite"
+        }
+    ],
+    "https://github.com/WX-NPS1598/ComfyUI-Auto_Crop_By_NPS": [
+        [
+            "AutoCropByNPS"
+        ],
+        {
+            "title_aux": "Auto Crop By NPS"
+        }
+    ],
+    "https://github.com/WaddingtonHoldings/ComfyUI-InstaSD": [
+        [
+            "InstaCBoolean",
+            "InstaCFloat",
+            "InstaCInteger",
+            "InstaCSeed",
+            "InstaCText",
+            "InstaCTextML"
+        ],
+        {
+            "title_aux": "InstaSD nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/WebDev9000/WebDev9000-Nodes": [
+        [
+            "IgnoreBraces",
+            "SettingsSwitch"
+        ],
+        {
+            "title_aux": "WebDev9000-Nodes"
+        }
+    ],
+    "https://github.com/Wicloz/ComfyUI-Simply-Nodes": [
+        [
+            "WF_ConditionalLoraLoader",
+            "WF_MultilineText",
+            "WF_RandomStyle",
+            "WF_ResolutionSDXL",
+            "WF_TextFlow"
+        ],
+        {
+            "title_aux": "ComfyUI Simply Nodes"
+        }
+    ],
+    "https://github.com/X-T-E-R/ComfyUI-EasyCivitai-XTNodes": [
+        [
+            "CheckpointLoaderSimpleWithPreviews",
+            "CivitaiCheckpointLoaderSimple",
+            "CivitaiLoraLoader",
+            "CivitaiLoraLoaderStacked",
+            "CivitaiLoraLoaderStackedAdvanced",
+            "LoraLoaderStackedAdvancedWithPreviews",
+            "LoraLoaderStackedWithPreviews",
+            "LoraLoaderWithPreviews"
+        ],
+        {
+            "title_aux": "ComfyUI Easy Civitai (XTNodes)"
+        }
+    ],
+    "https://github.com/XLabs-AI/x-flux-comfyui": [
+        [
+            "ApplyAdvancedFluxIPAdapter",
+            "ApplyFluxControlNet",
+            "ApplyFluxIPAdapter",
+            "FluxLoraLoader",
+            "LoadFluxControlNet",
+            "LoadFluxIPAdapter",
+            "XlabsSampler"
+        ],
+        {
+            "title_aux": "x-flux-comfyui"
+        }
+    ],
+    "https://github.com/Xclbr7/ComfyUI-Merlin": [
+        [
+            "GeminiPromptExpander",
+            "Magic Photo Prompter \ud83e\ude84"
+        ],
+        {
+            "title_aux": "ComfyUI-Merlin: Magic Photo Prompter"
+        }
+    ],
+    "https://github.com/XmYx/deforum-comfy-nodes": [
+        [
+            "DeforumAddNoiseNode",
+            "DeforumAnimParamsNode",
+            "DeforumAreaPromptNode",
+            "DeforumBaseParamsNode",
+            "DeforumCacheLatentNode",
+            "DeforumCadenceNode",
+            "DeforumCadenceParamsNode",
+            "DeforumColorMatchNode",
+            "DeforumColorParamsNode",
+            "DeforumConditioningBlendNode",
+            "DeforumDepthParamsNode",
+            "DeforumDiffusionParamsNode",
+            "DeforumFILMInterpolationNode",
+            "DeforumFrameWarpNode",
+            "DeforumGetCachedLatentNode",
+            "DeforumHybridMotionNode",
+            "DeforumHybridParamsNode",
+            "DeforumHybridScheduleNode",
+            "DeforumIteratorNode",
+            "DeforumKSampler",
+            "DeforumLoadVideo",
+            "DeforumNoiseParamsNode",
+            "DeforumPromptNode",
+            "DeforumSeedNode",
+            "DeforumSetVAEDownscaleRatioNode",
+            "DeforumSimpleInterpolationNode",
+            "DeforumSingleSampleNode",
+            "DeforumTranslationParamsNode",
+            "DeforumVideoSaveNode"
+        ],
+        {
+            "title_aux": "Deforum Nodes"
+        }
+    ],
+    "https://github.com/Xyem/Xycuno-Oobabooga": [
+        [
+            "Oobabooga"
+        ],
+        {
+            "title_aux": "Xycuno Oobabooga"
+        }
+    ],
+    "https://github.com/YMC-GitHub/ymc-node-suite-comfyui": [
+        [
+            "canvas-util-cal-size",
+            "conditioning-util-input-switch",
+            "cutoff-region-util",
+            "hks-util-cal-denoise-step",
+            "img-util-get-image-size",
+            "img-util-switch-input-image",
+            "io-image-save",
+            "io-text-save",
+            "io-util-file-list-get",
+            "io-util-file-list-get-text",
+            "number-util-random-num",
+            "pipe-util-to-basic-pipe",
+            "region-util-get-by-center-and-size",
+            "region-util-get-by-lt",
+            "region-util-get-crop-location-from-center-size-text",
+            "region-util-get-pad-out-location-by-size",
+            "text-preset-colors",
+            "text-util-join-text",
+            "text-util-loop-text",
+            "text-util-path-list",
+            "text-util-prompt-add-prompt",
+            "text-util-prompt-adv-dup",
+            "text-util-prompt-adv-search",
+            "text-util-prompt-del",
+            "text-util-prompt-dup",
+            "text-util-prompt-join",
+            "text-util-prompt-search",
+            "text-util-prompt-shuffle",
+            "text-util-prompt-std",
+            "text-util-prompt-unweight",
+            "text-util-random-text",
+            "text-util-search-text",
+            "text-util-show-text",
+            "text-util-switch-text",
+            "xyz-util-txt-to-int"
+        ],
+        {
+            "title_aux": "ymc-node-suite-comfyui"
+        }
+    ],
+    "https://github.com/YOUR-WORST-TACO/ComfyUI-TacoNodes": [
+        [
+            "Example",
+            "TacoAnimatedLoader",
+            "TacoGifMaker",
+            "TacoImg2ImgAnimatedLoader",
+            "TacoImg2ImgAnimatedProcessor",
+            "TacoLatent"
+        ],
+        {
+            "title_aux": "ComfyUI-TacoNodes"
+        }
+    ],
+    "https://github.com/Yanick112/ComfyUI-ToSVG": [
+        [
+            "ConvertRasterToVector",
+            "SaveSVG"
+        ],
+        {
+            "title_aux": "ComfyUI-ToSVG"
+        }
+    ],
+    "https://github.com/YinBailiang/MergeBlockWeighted_fo_ComfyUI": [
+        [
+            "MergeBlockWeighted"
+        ],
+        {
+            "title_aux": "MergeBlockWeighted_fo_ComfyUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-APISR": [
+        [
+            "APISR_Lterative_Zho",
+            "APISR_ModelLoader_Zho",
+            "APISR_Zho"
+        ],
+        {
+            "title_aux": "APISR IN COMFYUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Animated-optical-illusions": [
+        [
+            "AOI_Processing_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Animated-optical-illusions"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-ArtGallery": [
+        [
+            "ArtGallery_Zho",
+            "ArtistsImage_Zho",
+            "CamerasImage_Zho",
+            "FilmsImage_Zho",
+            "MovementsImage_Zho",
+            "StylesImage_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-ArtGallery"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG": [
+        [
+            "BRIA_RMBG_ModelLoader_Zho",
+            "BRIA_RMBG_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-BRIA_AI-RMBG"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BiRefNet-ZHO": [
+        [
+            "BiRefNet_ModelLoader_Zho",
+            "BiRefNet_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-BiRefNet-ZHO"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM": [
+        [
+            "DepthFM_Literative_Zho",
+            "DepthFM_ModelLoader_Zho",
+            "DepthFM_Zho"
+        ],
+        {
+            "title_aux": "DepthFM IN COMFYUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Gemini": [
+        [
+            "ConcatText_Zho",
+            "DisplayText_Zho",
+            "Gemini_15P_API_S_Advance_Zho",
+            "Gemini_15P_API_S_Chat_Advance_Zho",
+            "Gemini_API_Chat_Zho",
+            "Gemini_API_S_Chat_Zho",
+            "Gemini_API_S_Vsion_ImgURL_Zho",
+            "Gemini_API_S_Zho",
+            "Gemini_API_Vsion_ImgURL_Zho",
+            "Gemini_API_Zho",
+            "Gemini_FileUpload_API_S_Zho",
+            "Gemini_File_API_S_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Gemini"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID": [
+        [
+            "IDBaseModelLoader_fromhub",
+            "IDBaseModelLoader_local",
+            "IDControlNetLoader",
+            "IDGenerationNode",
+            "ID_Prompt_Styler",
+            "InsightFaceLoader_Zho",
+            "Ipadapter_instantidLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-InstantID"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Phi-3-mini": [
+        [
+            "Phi3mini_4k_Chat_Zho",
+            "Phi3mini_4k_ModelLoader_Zho",
+            "Phi3mini_4k_Zho"
+        ],
+        {
+            "title_aux": "Phi-3-mini in ComfyUI"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PhotoMaker-ZHO": [
+        [
+            "BaseModel_Loader_fromhub",
+            "BaseModel_Loader_local",
+            "LoRALoader",
+            "NEW_PhotoMaker_Generation",
+            "PhotoMakerAdapter_Loader_fromhub",
+            "PhotoMakerAdapter_Loader_local",
+            "PhotoMaker_Generation",
+            "Prompt_Styler",
+            "Ref_Image_Preprocessing"
+        ],
+        {
+            "title_aux": "ComfyUI PhotoMaker (ZHO)"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-PixArt-alpha-Diffusers": [
+        [
+            "PA_BaseModelLoader_fromhub_Zho",
+            "PA_Generation_Zho",
+            "PA_Styler_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-PixArt-alpha-Diffusers"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Q-Align": [
+        [
+            "QAlign_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Q-Align"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-2": [
+        [
+            "Qwen2_Chat_Zho",
+            "Qwen2_ModelLoader_Zho",
+            "Qwen2_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Qwen-2"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API": [
+        [
+            "QWenVL_API_S_Multi_Zho",
+            "QWenVL_API_S_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Qwen-VL-API"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO": [
+        [
+            "SVD_Aspect_Ratio_Zho",
+            "SVD_Steps_MotionStrength_Seed_Zho",
+            "SVD_Styler_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-SVD-ZHO (WIP)"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE": [
+        [
+            "SMoE_Generation_Zho",
+            "SMoE_ModelLoader_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI SegMoE"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Text_Image-Composite": [
+        [
+            "AlphaChanelAddByMask",
+            "ImageCompositeBy_BG_Zho",
+            "ImageCompositeBy_Zho",
+            "ImageComposite_BG_Zho",
+            "ImageComposite_Zho",
+            "RGB_Image_Zho",
+            "Text_Image_Frame_Zho",
+            "Text_Image_Multiline_Zho",
+            "Text_Image_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-Text_Image-Composite [WIP]"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-UltraEdit-ZHO": [
+        [
+            "UltraEdit_Generation_Zho",
+            "UltraEdit_ModelLoader_Zho",
+            "UltraEdit_ModelLoader_local_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI-UltraEdit-ZHO"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM": [
+        [
+            "ESAM_ModelLoader_Zho",
+            "Yoloworld_ESAM_DetectorProvider_Zho",
+            "Yoloworld_ESAM_Zho",
+            "Yoloworld_ModelLoader_Zho"
+        ],
+        {
+            "title_aux": "ComfyUI YoloWorld-EfficientSAM"
+        }
+    ],
+    "https://github.com/ZHO-ZHO-ZHO/comfyui-portrait-master-zh-cn": [
+        [
+            "PortraitMaster_\u4e2d\u6587\u7248"
+        ],
+        {
+            "title_aux": "comfyui-portrait-master-zh-cn"
+        }
+    ],
+    "https://github.com/ZZXYWQ/ComfyUI-ZZXYWQ": [
+        [
+            "StreamRecorder",
+            "VideoFormatConverter",
+            "ZZX_PaintsUndo"
+        ],
+        {
+            "title_aux": "ZZX Nodes"
+        }
+    ],
+    "https://github.com/ZaneA/ComfyUI-ImageReward": [
+        [
+            "ImageRewardLoader",
+            "ImageRewardScore"
+        ],
+        {
+            "title_aux": "ImageReward"
+        }
+    ],
+    "https://github.com/ZeDarkAdam/ComfyUI-Embeddings-Tools": [
+        [
+            "EmbeddingsNameLoader",
+            "EmbendingList"
+        ],
+        {
+            "title_aux": "ComfyUI-Embeddings-Tools"
+        }
+    ],
+    "https://github.com/a1lazydog/ComfyUI-AudioScheduler": [
+        [
+            "AmplitudeToGraph",
+            "AmplitudeToNumber",
+            "AudioToAmplitudeGraph",
+            "AudioToAudioData",
+            "AudioToFFTs",
+            "BatchAmplitudeSchedule",
+            "ClipAmplitude",
+            "FloatArrayToGraph",
+            "GateNormalizedAmplitude",
+            "NormalizeAmplitude",
+            "NormalizedAmplitudeDrivenString",
+            "NormalizedAmplitudeToGraph",
+            "NormalizedAmplitudeToNumber",
+            "TransientAmplitudeBasic"
+        ],
+        {
+            "title_aux": "ComfyUI-AudioScheduler"
+        }
+    ],
+    "https://github.com/aburahamu/ComfyUI-IsNiceParts": [
+        [
+            "NiceHand"
+        ],
+        {
+            "title_aux": "ComfyUI-IsNiceParts"
+        }
+    ],
+    "https://github.com/aburahamu/ComfyUI-RequestsPoster": [
+        [
+            "GetImageFromSD3byI2I",
+            "GetImageFromSD3byT2I",
+            "PostImage2Discord",
+            "PostImage2X",
+            "PostText"
+        ],
+        {
+            "title_aux": "ComfyUI-RequestPoster"
+        }
+    ],
+    "https://github.com/abyz22/image_control": [
+        [
+            "abyz22_AddPrompt",
+            "abyz22_Convertpipe",
+            "abyz22_Editpipe",
+            "abyz22_FirstNonNull",
+            "abyz22_FromBasicPipe_v2",
+            "abyz22_Frompipe",
+            "abyz22_ImpactWildcardEncode",
+            "abyz22_ImpactWildcardEncode_GetPrompt",
+            "abyz22_Ksampler",
+            "abyz22_Padding Image",
+            "abyz22_RandomMask",
+            "abyz22_RemoveControlnet",
+            "abyz22_ResizeOpenpose",
+            "abyz22_SaveImage",
+            "abyz22_SetQueue",
+            "abyz22_ToBasicPipe",
+            "abyz22_Topipe",
+            "abyz22_blend_onecolor",
+            "abyz22_blendimages",
+            "abyz22_bypass",
+            "abyz22_censoring",
+            "abyz22_drawmask",
+            "abyz22_lamaInpaint",
+            "abyz22_lamaPreprocessor",
+            "abyz22_makecircles",
+            "abyz22_path_generator",
+            "abyz22_setimageinfo",
+            "abyz22_smallhead"
+        ],
+        {
+            "title_aux": "image_control"
+        }
+    ],
+    "https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface": [
+        [
+            "DownloadLinkChecker",
+            "ShowFileNames"
+        ],
+        {
+            "title_aux": "ComfyUI-TrashNodes-DownloadHuggingface"
+        }
+    ],
+    "https://github.com/adieyal/comfyui-dynamicprompts": [
+        [
+            "DPCombinatorialGenerator",
+            "DPFeelingLucky",
+            "DPJinja",
+            "DPMagicPrompt",
+            "DPOutput",
+            "DPRandomGenerator"
+        ],
+        {
+            "title_aux": "DynamicPrompts Custom Nodes"
+        }
+    ],
+    "https://github.com/adigayung/ComfyUI-Translator": [
+        [
+            "CLIP Text Encode (Auto Translate)",
+            "Prompt Text (Auto Translate)"
+        ],
+        {
+            "title_aux": "ComfyUI-Translator"
+        }
+    ],
+    "https://github.com/adriflex/ComfyUI_Blender_Texdiff": [
+        [
+            "ViewportColor",
+            "ViewportDepth"
+        ],
+        {
+            "title_aux": "ComfyUI_Blender_Texdiff"
+        }
+    ],
+    "https://github.com/aegis72/aegisflow_utility_nodes": [
+        [
+            "Add Text To Image",
+            "Aegisflow CLIP Pass",
+            "Aegisflow Conditioning Pass",
+            "Aegisflow Image Pass",
+            "Aegisflow Latent Pass",
+            "Aegisflow Mask Pass",
+            "Aegisflow Model Pass",
+            "Aegisflow Pos/Neg Pass",
+            "Aegisflow SDXL Tuple Pass",
+            "Aegisflow VAE Pass",
+            "Aegisflow controlnet preprocessor bus",
+            "Apply Instagram Filter",
+            "Binary INT Switch",
+            "Brightness_Contrast_Ally",
+            "Flatten Colors",
+            "Gaussian Blur_Ally",
+            "GlitchThis Effect",
+            "Hue Rotation",
+            "Image Flip_ally",
+            "Placeholder Tuple",
+            "Swap Color Mode",
+            "aegisflow Multi_Pass",
+            "aegisflow Multi_Pass XL",
+            "af_pipe_in_15",
+            "af_pipe_in_xl",
+            "af_pipe_out_15",
+            "af_pipe_out_xl"
+        ],
+        {
+            "title_aux": "AegisFlow Utility Nodes"
+        }
+    ],
+    "https://github.com/aegis72/comfyui-styles-all": [
+        [
+            "menus"
+        ],
+        {
+            "title_aux": "ComfyUI-styles-all"
+        }
+    ],
+    "https://github.com/ai-liam/comfyui-liam": [
+        [
+            "AiStoreAzureGPTLiam",
+            "GetBetterDepthImage",
+            "LiamLibDisplayText",
+            "LiamLibFillImage",
+            "LiamLibImageToGray",
+            "LiamLibLoadImage",
+            "LiamLibMergeText",
+            "LiamLibSaveImg",
+            "LiamLibSaveText",
+            "OllamaApiTNodeLiam",
+            "PreviewReliefImage",
+            "SpeechRecognitionLiam",
+            "SpeechSynthesisLiam"
+        ],
+        {
+            "title_aux": "LiamUtil"
+        }
+    ],
+    "https://github.com/ai-liam/comfyui_liam_util": [
+        [
+            "LiamLoadImage"
+        ],
+        {
+            "title_aux": "LiamUtil (single node)"
+        }
+    ],
+    "https://github.com/ai-shizuka/ComfyUI-tbox": [
+        [
+            "AnimalPosePreprocessor",
+            "ConstrainImageNode",
+            "DWPosePreprocessor",
+            "DWPreprocessor",
+            "DensePosePreprocessor",
+            "ImageLoader",
+            "ImageResize",
+            "ImageSaver",
+            "ImageSize",
+            "ImagesSaver",
+            "MiDaSDepthPreprocessor"
+        ],
+        {
+            "author": "tstandley",
+            "title_aux": "ComfyUI-tbox"
+        }
+    ],
+    "https://github.com/aianimation55/ComfyUI-FatLabels": [
+        [
+            "FatLabels"
+        ],
+        {
+            "title_aux": "Comfy UI FatLabels"
+        }
+    ],
+    "https://github.com/aidenli/ComfyUI_NYJY": [
+        [
+            "JoyCaption",
+            "JoyTag",
+            "LoadLlamaModel",
+            "Translate"
+        ],
+        {
+            "title_aux": "ComfyUI_NYJY"
+        }
+    ],
+    "https://github.com/aisabervisionlab/ComfyUI_merge_ASVL": [
+        [
+            "ASVL"
+        ],
+        {
+            "title_aux": "ComfyUI_merge_ASVL"
+        }
+    ],
+    "https://github.com/akatz-ai/ComfyUI-AKatz-Nodes": [
+        [
+            "AK_AdjustListSize",
+            "AK_AnimatedDilationMaskLinear",
+            "AK_AudioreactiveDilationMask",
+            "AK_AudioreactiveDynamicDilationMask",
+            "AK_BinaryAmplitudeGate",
+            "AK_ConvertAudioToSaltAudio",
+            "AK_ConvertListToFloatList",
+            "AK_ConvertSaltAudioToAudio",
+            "AK_IPAdapterCustomWeights",
+            "AK_LagChop",
+            "AK_ListToNumpyFloatArray",
+            "AK_NormalizeMaskImage",
+            "AK_RescaleFloatList",
+            "AK_ShrinkNumSequence",
+            "AK_VideoSpeedAdjust"
+        ],
+        {
+            "author": "akatz",
+            "description": "Custom node pack for nodes I use in my workflows.",
+            "nickname": "Akatz Custom Nodes",
+            "title": "Akatz Custom Nodes",
+            "title_aux": "Akatz Custom Nodes"
+        }
+    ],
+    "https://github.com/akierson/ComfyUI-textnodes": [
+        [
+            "Prompt Truncate",
+            "Tidy Tags"
+        ],
+        {
+            "title_aux": "ComfyUI-textnodes"
+        }
+    ],
+    "https://github.com/akierson/comfyui-colornodes": [
+        [
+            "Color Picker",
+            "Color to Hex",
+            "Color to RGB",
+            "Image Replace Color",
+            "Invert Color"
+        ],
+        {
+            "title_aux": "comfyui-colornodes"
+        }
+    ],
+    "https://github.com/al-swaiti/All-IN-ONE-style": [
+        [
+            "ComfyUIStyler",
+            "menus"
+        ],
+        {
+            "title_aux": "All-IN-ONE-style"
+        }
+    ],
+    "https://github.com/al-swaiti/ComfyUI-CascadeResolutions": [
+        [
+            "CascadeResolutions"
+        ],
+        {
+            "title_aux": "ComfyUI-CascadeResolutions"
+        }
+    ],
+    "https://github.com/al-swaiti/ComfyUI-OllamaGemini": [
+        [
+            "BRIA_RMBG",
+            "BRIA_RMBG_ModelLoader",
+            "ComfyUIStyler",
+            "ConvertRasterToVector",
+            "FLUXResolutions",
+            "GeminiAPI",
+            "OllamaAPI",
+            "SaveSVG",
+            "TextSplitByDelimiter",
+            "menus"
+        ],
+        {
+            "title_aux": "GeminiOllama ComfyUI Extension"
+        }
+    ],
+    "https://github.com/alanhuang67/ComfyUI-FAI-Node": [
+        [
+            "FAIDynamicMask",
+            "FAIScaleScheduler",
+            "FAI_Voronoi_Generator"
+        ],
+        {
+            "title_aux": "FAI-Node"
+        }
+    ],
+    "https://github.com/alessandrozonta/ComfyUI-CenterNode": [
+        [
+            "BBoxCrop"
+        ],
+        {
+            "title_aux": "Bounding Box Crop Node for ComfyUI"
+        }
+    ],
+    "https://github.com/alessandrozonta/ComfyUI-Layers": [
+        [
+            "LayersSaver - Save Layer",
+            "LayersSaver - Save Layer From Images"
+        ],
+        {
+            "title_aux": "Save Layers Node for ComfyUI"
+        }
+    ],
+    "https://github.com/alessandrozonta/ComfyUI-OpenPose": [
+        [
+            "OpenPose - Get poses"
+        ],
+        {
+            "author": "joe",
+            "title_aux": "OpenPose Node"
+        }
+    ],
+    "https://github.com/alexgenovese/ComfyUI_HF_Servelress_Inference": [
+        [
+            "HF_QuestionAnswer",
+            "Job_Caption",
+            "Joy_caption",
+            "Joy_caption_load"
+        ],
+        {
+            "author": "Alex Genovese",
+            "description": "Huggingface Api Serverless request",
+            "nickname": "alexgenovese",
+            "title": "Huggingface Api Serverless",
+            "title_aux": "Huggingface Api Serverless"
+        }
+    ],
+    "https://github.com/alexopus/ComfyUI-Image-Saver": [
+        [
+            "Cfg Literal (Image Saver)",
+            "Checkpoint Loader with Name (Image Saver)",
+            "Float Literal (Image Saver)",
+            "Image Saver",
+            "Int Literal (Image Saver)",
+            "Sampler Selector (Image Saver)",
+            "SamplerToString (Image Saver)",
+            "Scheduler Selector (Comfy) (Image Saver)",
+            "Scheduler Selector (Image Saver)",
+            "SchedulerComfyToString (Image Saver)",
+            "SchedulerToString (Image Saver)",
+            "Seed Generator (Image Saver)",
+            "String Literal (Image Saver)",
+            "Width/Height Literal (Image Saver)"
+        ],
+        {
+            "title_aux": "ComfyUI Image Saver"
+        }
+    ],
+    "https://github.com/alisson-anjos/ComfyUI-Ollama-Describer": [
+        [
+            "InputText",
+            "OllamaImageDescriber",
+            "OllamaTextDescriber",
+            "ShowText",
+            "TextTransformer"
+        ],
+        {
+            "title_aux": "ComfyUI-Ollama-Describer"
+        }
+    ],
+    "https://github.com/alpertunga-bile/image-caption-comfyui": [
+        [
+            "Image Caption Node",
+            "Insert Prompt Node"
+        ],
+        {
+            "title_aux": "image-caption-comfyui"
+        }
+    ],
+    "https://github.com/alpertunga-bile/prompt-generator-comfyui": [
+        [
+            "Prompt Generator"
+        ],
+        {
+            "title_aux": "prompt-generator"
+        }
+    ],
+    "https://github.com/alsritter/asymmetric-tiling-comfyui": [
+        [
+            "Asymmetric_Tiling_KSampler"
+        ],
+        {
+            "title_aux": "asymmetric-tiling-comfyui"
+        }
+    ],
+    "https://github.com/alt-key-project/comfyui-dream-project": [
+        [
+            "Analyze Palette [Dream]",
+            "Beat Curve [Dream]",
+            "Big Float Switch [Dream]",
+            "Big Image Switch [Dream]",
+            "Big Int Switch [Dream]",
+            "Big Latent Switch [Dream]",
+            "Big Palette Switch [Dream]",
+            "Big Text Switch [Dream]",
+            "Boolean To Float [Dream]",
+            "Boolean To Int [Dream]",
+            "Build Prompt [Dream]",
+            "CSV Curve [Dream]",
+            "CSV Generator [Dream]",
+            "Calculation [Dream]",
+            "Common Frame Dimensions [Dream]",
+            "Compare Palettes [Dream]",
+            "FFMPEG Video Encoder [Dream]",
+            "File Count [Dream]",
+            "Finalize Prompt [Dream]",
+            "Float Input [Dream]",
+            "Float to Log Entry [Dream]",
+            "Frame Count Calculator [Dream]",
+            "Frame Counter (Directory) [Dream]",
+            "Frame Counter (Simple) [Dream]",
+            "Frame Counter Info [Dream]",
+            "Frame Counter Offset [Dream]",
+            "Frame Counter Time Offset [Dream]",
+            "Image Brightness Adjustment [Dream]",
+            "Image Color Shift [Dream]",
+            "Image Contrast Adjustment [Dream]",
+            "Image Motion [Dream]",
+            "Image Sequence Blend [Dream]",
+            "Image Sequence Loader [Dream]",
+            "Image Sequence Saver [Dream]",
+            "Image Sequence Tweening [Dream]",
+            "Int Input [Dream]",
+            "Int to Log Entry [Dream]",
+            "Laboratory [Dream]",
+            "Linear Curve [Dream]",
+            "Log Entry Joiner [Dream]",
+            "Log File [Dream]",
+            "Noise from Area Palettes [Dream]",
+            "Noise from Palette [Dream]",
+            "Palette Color Align [Dream]",
+            "Palette Color Shift [Dream]",
+            "Sample Image Area as Palette [Dream]",
+            "Sample Image as Palette [Dream]",
+            "Saw Curve [Dream]",
+            "Sine Curve [Dream]",
+            "Smooth Event Curve [Dream]",
+            "String Input [Dream]",
+            "String Tokenizer [Dream]",
+            "String to Log Entry [Dream]",
+            "Text Input [Dream]",
+            "Triangle Curve [Dream]",
+            "Triangle Event Curve [Dream]",
+            "WAV Curve [Dream]"
+        ],
+        {
+            "title_aux": "Dream Project Animation Nodes"
+        }
+    ],
+    "https://github.com/alt-key-project/comfyui-dream-video-batches": [
+        [
+            "Blended Transition [DVB]",
+            "Calculation [DVB]",
+            "Create Frame Set [DVB]",
+            "Divide [DVB]",
+            "Fade From Black [DVB]",
+            "Fade To Black [DVB]",
+            "Float Input [DVB]",
+            "For Each Done [DVB]",
+            "For Each Filename [DVB]",
+            "Frame Set Append [DVB]",
+            "Frame Set Frame Dimensions Scaled [DVB]",
+            "Frame Set Index Offset [DVB]",
+            "Frame Set Merger [DVB]",
+            "Frame Set Reindex [DVB]",
+            "Frame Set Repeat [DVB]",
+            "Frame Set Reverse [DVB]",
+            "Frame Set Split Beginning [DVB]",
+            "Frame Set Split End [DVB]",
+            "Frame Set Splitter [DVB]",
+            "Generate Inbetween Frames [DVB]",
+            "Int Input [DVB]",
+            "Linear Camera Pan [DVB]",
+            "Linear Camera Roll [DVB]",
+            "Linear Camera Zoom [DVB]",
+            "Load Image From Path [DVB]",
+            "Multiply [DVB]",
+            "Sine Camera Pan [DVB]",
+            "Sine Camera Roll [DVB]",
+            "Sine Camera Zoom [DVB]",
+            "String Input [DVB]",
+            "Text Input [DVB]",
+            "Trace Memory Allocation [DVB]",
+            "Unwrap Frame Set [DVB]"
+        ],
+        {
+            "title_aux": "Dream Video Batches"
+        }
+    ],
+    "https://github.com/an90ray/ComfyUI_RErouter_CustomNodes": [
+        [
+            "CLIPTextEncode (RE)",
+            "CLIPTextEncodeSDXL (RE)",
+            "CLIPTextEncodeSDXLRefiner (RE)",
+            "Int (RE)",
+            "RErouter <=",
+            "RErouter =>",
+            "String (RE)"
+        ],
+        {
+            "title_aux": "ComfyUI_RErouter_CustomNodes"
+        }
+    ],
+    "https://github.com/andersxa/comfyui-PromptAttention": [
+        [
+            "CLIPAttentionMaskEncode"
+        ],
+        {
+            "title_aux": "CLIP Directional Prompt Attention"
+        }
+    ],
+    "https://github.com/angeloshredder/StableCascadeResizer": [
+        [
+            "CascadeResize"
+        ],
+        {
+            "title_aux": "StableCascadeResizer"
+        }
+    ],
+    "https://github.com/anhkhoatranle30/Handy-Nodes-ComfyUI": [
+        [
+            "Custom Save Image //Handy"
+        ],
+        {
+            "author": "Khoa Tran",
+            "description": "This extension offers various handy nodes.",
+            "nickname": "Handy-Nodes-ComfyUI",
+            "title": "Handy-Nodes-ComfyUI",
+            "title_aux": "Handy Node ComfyUI"
+        }
+    ],
+    "https://github.com/ansonkao/comfyui-geometry": [
+        [
+            "TransformTemplateOntoFaceMask"
+        ],
+        {
+            "author": "Anson Kao",
+            "description": "A small collection of custom nodes for use with ComfyUI, by Discopixel",
+            "nickname": "ComfyUI Discopixel",
+            "title": "ComfyUI Discopixel",
+            "title_aux": "comfyui-geometry"
+        }
+    ],
+    "https://github.com/antrobot1234/antrobots-comfyUI-nodepack": [
+        [
+            "composite",
+            "crop",
+            "paste",
+            "preview_mask",
+            "scale"
+        ],
+        {
+            "title_aux": "antrobots ComfyUI Nodepack"
+        }
+    ],
+    "https://github.com/asagi4/ComfyUI-Adaptive-Guidance": [
+        [
+            "AdaptiveGuidance",
+            "PerpNegAdaptiveGuidanceGuider"
+        ],
+        {
+            "title_aux": "Adaptive Guidance for ComfyUI"
+        }
+    ],
+    "https://github.com/asagi4/ComfyUI-CADS": [
+        [
+            "CADS"
+        ],
+        {
+            "title_aux": "ComfyUI-CADS"
+        }
+    ],
+    "https://github.com/asagi4/comfyui-prompt-control": [
+        [
+            "EditableCLIPEncode",
+            "FilterSchedule",
+            "LoRAScheduler",
+            "PCApplySettings",
+            "PCPromptFromSchedule",
+            "PCScheduleAddMasks",
+            "PCScheduleSettings",
+            "PCSplitSampling",
+            "PCWrapGuider",
+            "PromptControlSimple",
+            "PromptToSchedule",
+            "ScheduleToCond",
+            "ScheduleToModel"
+        ],
+        {
+            "title_aux": "ComfyUI prompt control"
+        }
+    ],
+    "https://github.com/asagi4/comfyui-utility-nodes": [
+        [
+            "MUForceCacheClear",
+            "MUJinjaRender",
+            "MUReplaceModelWeights",
+            "MUSimpleWildcard"
+        ],
+        {
+            "title_aux": "asagi4/comfyui-utility-nodes"
+        }
+    ],
+    "https://github.com/aszc-dev/ComfyUI-CoreMLSuite": [
+        [
+            "Core ML Converter",
+            "Core ML LCM Converter",
+            "Core ML LoRA Loader",
+            "CoreMLModelAdapter",
+            "CoreMLSampler",
+            "CoreMLSamplerAdvanced",
+            "CoreMLUNetLoader"
+        ],
+        {
+            "title_aux": "Core ML Suite for ComfyUI"
+        }
+    ],
+    "https://github.com/audioscavenger/ComfyUI-Thumbnails": [
+        [
+            "LoadImageThumbnails"
+        ],
+        {
+            "author": "AudioscavengeR",
+            "description": "Load Image thumbnails and show input subfolders.",
+            "nickname": "ComfyUI Thumbnails",
+            "title": "ComfyUI Thumbnails",
+            "title_aux": "ComfyUI Thumbnails"
+        }
+    ],
+    "https://github.com/audioscavenger/save-image-extended-comfyui": [
+        [
+            "SaveImageExtended"
+        ],
+        {
+            "title_aux": "Save Image Extended for ComfyUI"
+        }
+    ],
+    "https://github.com/avatechai/avatar-graph-comfyui": [
+        [
+            "ApplyMeshTransformAsShapeKey",
+            "B_ENUM",
+            "B_VECTOR3",
+            "B_VECTOR4",
+            "Combine Points",
+            "CreateShapeFlow",
+            "ExportBlendshapes",
+            "ExportGLTF",
+            "Extract Boundary Points",
+            "Image Alpha Mask Merge",
+            "ImageBridge",
+            "LoadImageFromRequest",
+            "LoadImageWithAlpha",
+            "LoadValueFromRequest",
+            "SAM MultiLayer",
+            "Save Image With Workflow"
+        ],
+        {
+            "author": "Avatech Limited",
+            "description": "Include nodes for sam + bpy operation, that allows workflow creations for generative 2d character rig.",
+            "nickname": "Avatar Graph",
+            "title": "Avatar Graph",
+            "title_aux": "Avatar Graph"
+        }
+    ],
+    "https://github.com/aws-samples/comfyui-llm-node-for-amazon-bedrock": [
+        [
+            "Bedrock - Claude",
+            "Bedrock - Claude Multimodal",
+            "Bedrock - SDXL",
+            "Bedrock - Titan Inpainting",
+            "Bedrock - Titan Outpainting",
+            "Bedrock - Titan Text to Image",
+            "Bedrock - Titan Variation",
+            "Image From S3",
+            "Image From URL",
+            "Image To S3",
+            "JSON Text Extraction",
+            "Prompt Regex Remove",
+            "Prompt Template",
+            "Prompt Template with Two Inputs"
+        ],
+        {
+            "title_aux": "Amazon Bedrock nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/azure-dragon-ai/ComfyUI-ClipScore-Nodes": [
+        [
+            "HaojihuiClipScoreFakeImageProcessor",
+            "HaojihuiClipScoreImageProcessor",
+            "HaojihuiClipScoreImageScore",
+            "HaojihuiClipScoreLoader",
+            "HaojihuiClipScoreRealImageProcessor",
+            "HaojihuiClipScoreTextProcessor"
+        ],
+        {
+            "title_aux": "ComfyUI-ClipScore-Nodes"
+        }
+    ],
+    "https://github.com/badayvedat/ComfyUI-fal-Connector": [
+        [
+            "RemoteCheckpointLoader_fal",
+            "RemoteLoraLoader_fal"
+        ],
+        {
+            "title_aux": "ComfyUI-fal-Connector"
+        }
+    ],
+    "https://github.com/badjeff/comfyui_lora_tag_loader": [
+        [
+            "LoraTagLoader"
+        ],
+        {
+            "title_aux": "LoRA Tag Loader for ComfyUI"
+        }
+    ],
+    "https://github.com/baicai99/ComfyUI-FrameSkipping": [
+        [
+            "FrameSelector",
+            "FrameSkipping",
+            "FrameTruncating",
+            "IntOperationsNode",
+            "MaskFrameSkipping",
+            "MaskGenerator",
+            "MaskSelector"
+        ],
+        {
+            "title_aux": "ComfyUI-FrameSkipping"
+        }
+    ],
+    "https://github.com/bananasss00/ComfyUI-SP-Nodes": [
+        [
+            "BoolSwitchOutStr",
+            "CivitaiPrompts",
+            "FaceScatter",
+            "FaceScatter2",
+            "GodnessMerger_Apply",
+            "GodnessMerger_InputBlocks",
+            "GodnessMerger_InputBlocksExperimental",
+            "GodnessMerger_LabelEmb",
+            "GodnessMerger_MiddleBlock",
+            "GodnessMerger_MiddleBlockExperimental",
+            "GodnessMerger_NoiseInjection",
+            "GodnessMerger_Out",
+            "GodnessMerger_OutputBlocks",
+            "GodnessMerger_OutputBlocksExperimental",
+            "GodnessMerger_RAW_Apply",
+            "GodnessMerger_TimeEmbed",
+            "ImageMonitor",
+            "ImgMetaValueExtractor",
+            "LoraLoaderByPath",
+            "LoraLoaderOnlyModelByPath",
+            "PreviewImageWEBP",
+            "PromptChecker",
+            "RandomPromptFromBook",
+            "Random_Model_Merge",
+            "SD3BlocksMultiply",
+            "SD3Multiply",
+            "SP-CheckpointSave",
+            "SP-UnetSave",
+            "SP_FluxFastMergePatchFP8 [Experimental]",
+            "SP_KoboldCpp",
+            "SP_WebsocketSendImage",
+            "ScatterParams",
+            "ScatterParamsBatch",
+            "SendTelegramChatBot",
+            "StrToCombo",
+            "TESTER",
+            "TextSplitJoinByDelimiter"
+        ],
+        {
+            "author": "SeniorPioner",
+            "description": "Node Pack: PromptChecker for token toggling, KoboldCPP API, ModelMerging, Telegram-Bot-API, and more",
+            "nickname": "SP-Nodes",
+            "title": "SP-Nodes",
+            "title_aux": "SP-Nodes"
+        }
+    ],
+    "https://github.com/banodoco/steerable-motion": [
+        [
+            "BatchCreativeInterpolation",
+            "IpaConfiguration",
+            "RemoveAndInterpolateFrames"
+        ],
+        {
+            "title_aux": "Steerable Motion"
+        }
+    ],
+    "https://github.com/barckley75/comfyUI_DaVinciResolve/raw/main/custom_nodes/node_text_to_speech.py": [
+        [
+            "TextToSpeech"
+        ],
+        {
+            "title_aux": "comfyUI_DaVinciResolve"
+        }
+    ],
+    "https://github.com/bash-j/mikey_nodes": [
+        [
+            "AddMetaData",
+            "Batch Crop Image",
+            "Batch Crop Resize Inplace",
+            "Batch Load Images",
+            "Batch Resize Image for SDXL",
+            "Checkpoint Loader Simple Mikey",
+            "CheckpointHash",
+            "CheckpointSaveModelOnly",
+            "CinematicLook",
+            "Empty Latent Ratio Custom SDXL",
+            "Empty Latent Ratio Select SDXL",
+            "EvalFloats",
+            "FaceFixerOpenCV",
+            "FileNamePrefix",
+            "FileNamePrefixDateDirFirst",
+            "Float to String",
+            "GetSubdirectories",
+            "HaldCLUT",
+            "Image Caption",
+            "ImageBorder",
+            "ImageOverlay",
+            "ImagePaste",
+            "Int to String",
+            "LMStudioPrompt",
+            "Load Image Based on Number",
+            "LoraSyntaxProcessor",
+            "Mikey Sampler",
+            "Mikey Sampler Base Only",
+            "Mikey Sampler Base Only Advanced",
+            "Mikey Sampler Tiled",
+            "Mikey Sampler Tiled Base Only",
+            "MikeyLatentTileSampler",
+            "MikeyLatentTileSamplerCustom",
+            "MikeySamplerTiledAdvanced",
+            "MikeySamplerTiledAdvancedBaseOnly",
+            "ModelMergePixArtSigmaXL2_1024MS",
+            "ModelMergeTrainDiff",
+            "ModelMergeTrainDiffPixartSigmaXL2_1024MS",
+            "MosaicExpandImage",
+            "OobaPrompt",
+            "PresetRatioSelector",
+            "Prompt With SDXL",
+            "Prompt With Style",
+            "Prompt With Style V2",
+            "Prompt With Style V3",
+            "Range Float",
+            "Range Integer",
+            "Ratio Advanced",
+            "Resize Image for SDXL",
+            "SD3TextConditioningWithOptionsOnePrompt",
+            "SRFloatPromptInput",
+            "SRIntPromptInput",
+            "SRStringPromptInput",
+            "Save Image If True",
+            "Save Image With Prompt Data",
+            "Save Images Mikey",
+            "Save Images No Display",
+            "SaveMetaData",
+            "SearchAndReplace",
+            "Seed String",
+            "Style Conditioner",
+            "Style Conditioner Base Only",
+            "Text2InputOr3rdOption",
+            "TextCombinations",
+            "TextCombinations3",
+            "TextConcat",
+            "TextPadderMikey",
+            "TextPreserve",
+            "Upscale Tile Calculator",
+            "Wildcard Processor",
+            "WildcardAndLoraSyntaxProcessor",
+            "WildcardOobaPrompt"
+        ],
+        {
+            "title_aux": "Mikey Nodes"
+        }
+    ],
+    "https://github.com/bedovyy/ComfyUI_NAIDGenerator": [
+        [
+            "ColorizeNAID",
+            "DeclutterNAID",
+            "EmotionNAID",
+            "GenerateNAID",
+            "Img2ImgOptionNAID",
+            "InpaintingOptionNAID",
+            "LineArtNAID",
+            "MaskImageToNAID",
+            "ModelOptionNAID",
+            "NetworkOptionNAID",
+            "PromptToNAID",
+            "RemoveBGNAID",
+            "SketchNAID",
+            "VibeTransferOptionNAID"
+        ],
+        {
+            "title_aux": "ComfyUI_NAIDGenerator"
+        }
+    ],
+    "https://github.com/bilal-arikan/ComfyUI_TextAssets": [
+        [
+            "LoadTextAsset"
+        ],
+        {
+            "title_aux": "ComfyUI_TextAssets"
+        }
+    ],
+    "https://github.com/bitaffinity/ComfyUI_HF_Inference": [
+        [
+            "Classification",
+            "FeatureExtraction",
+            "Generation",
+            "ObjectDetection",
+            "QuestionAnswering",
+            "Segmentation",
+            "TextToImage",
+            "Translation"
+        ],
+        {
+            "title_aux": "ComfyUI_HF_Inference"
+        }
+    ],
+    "https://github.com/bkunbargi/BrevImage/raw/main/BrevLoadImage.py": [
+        [
+            "BrevImage"
+        ],
+        {
+            "title_aux": "BrevImage"
+        }
+    ],
+    "https://github.com/blackcodetavern/ComfyUI-Benripack": [
+        [
+            "CharacterPipe"
+        ],
+        {
+            "title_aux": "ComfyUI-Benripack"
+        }
+    ],
+    "https://github.com/blepping/ComfyUI-bleh": [
+        [
+            "BlehBlockOps",
+            "BlehDeepShrink",
+            "BlehDisableNoise",
+            "BlehDiscardPenultimateSigma",
+            "BlehForceSeedSampler",
+            "BlehHyperTile",
+            "BlehInsaneChainSampler",
+            "BlehLatentOps",
+            "BlehLatentScaleBy",
+            "BlehModelPatchConditional",
+            "BlehPlug",
+            "BlehRefinerAfter"
+        ],
+        {
+            "title_aux": "ComfyUI-bleh"
+        }
+    ],
+    "https://github.com/blepping/ComfyUI-sonar": [
+        [
+            "NoisyLatentLike",
+            "SONAR_CUSTOM_NOISE to NOISE",
+            "SamplerConfigOverride",
+            "SamplerSonarDPMPPSDE",
+            "SamplerSonarEuler",
+            "SamplerSonarEulerA",
+            "SonarAdvancedPyramidNoise",
+            "SonarCompositeNoise",
+            "SonarCustomNoise",
+            "SonarGuidanceConfig",
+            "SonarGuidedNoise",
+            "SonarModulatedNoise",
+            "SonarRandomNoise",
+            "SonarRepeatedNoise",
+            "SonarScheduledNoise"
+        ],
+        {
+            "title_aux": "ComfyUI-sonar"
+        }
+    ],
+    "https://github.com/blepping/comfyui_jankhidiffusion": [
+        [
+            "ApplyMSWMSAAttention",
+            "ApplyMSWMSAAttentionSimple",
+            "ApplyRAUNet",
+            "ApplyRAUNetSimple"
+        ],
+        {
+            "title_aux": "comfyui_jankhidiffusion"
+        }
+    ],
+    "https://github.com/blepping/comfyui_overly_complicated_sampling": [
+        [
+            "OCS Group",
+            "OCS ModelSetMaxSigma",
+            "OCS MultiParam",
+            "OCS Param",
+            "OCS Sampler",
+            "OCS SimpleRestartSchedule",
+            "OCS Substeps",
+            "OCSNoise PerlinAdvanced",
+            "OCSNoise PerlinSimple",
+            "OCSNoise to SONAR_CUSTOM_NOISE"
+        ],
+        {
+            "title_aux": "comfyui_overly_complicated_sampling"
+        }
+    ],
+    "https://github.com/blueraincoatli/comfyUI_SillyNodes": [
+        [
+            "BooleanJumper|SillyNode",
+            "QueueSequence|SillyNode",
+            "Screenshots|SillyNode",
+            "dummyInput|SillyNode",
+            "dummyInput|blueraincoat"
+        ],
+        {
+            "title_aux": "comfyUI_SillyNodes"
+        }
+    ],
+    "https://github.com/bluevisor/ComfyUI_PS_Blend_Node": [
+        [
+            "PSBlendNode"
+        ],
+        {
+            "title_aux": "ComfyUI_PS_Blend_Node"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_ab_samplercustom": [
+        [
+            "AB SamplerCustom (experimental)"
+        ],
+        {
+            "title_aux": "comfyui_ab_sampler"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_bmad_nodes": [
+        [
+            "AdaptiveThresholding",
+            "Add String To Many",
+            "AddAlpha",
+            "AdjustRect",
+            "AnyToAny",
+            "BoundingRect (contours)",
+            "BuildColorRangeAdvanced (hsv)",
+            "BuildColorRangeHSV (hsv)",
+            "CLAHE",
+            "CLIPEncodeMultiple",
+            "CLIPEncodeMultipleAdvanced",
+            "ChameleonMask",
+            "CheckpointLoader (dirty)",
+            "CheckpointLoaderSimple (dirty)",
+            "Color (RGB)",
+            "Color (hexadecimal)",
+            "Color Clip",
+            "Color Clip (advanced)",
+            "Color Clip ADE20k",
+            "ColorDictionary",
+            "ColorDictionary (custom)",
+            "Conditioning (combine multiple)",
+            "Conditioning (combine selective)",
+            "Conditioning Grid (cond)",
+            "Conditioning Grid (string)",
+            "Conditioning Grid (string) Advanced",
+            "Contour To Mask",
+            "Contours",
+            "ControlNetHadamard",
+            "ControlNetHadamard (manual)",
+            "ConvertImg",
+            "CopyMakeBorder",
+            "CreateRequestMetadata",
+            "DistanceTransform",
+            "Draw Contour(s)",
+            "EqualizeHistogram",
+            "ExtendColorList",
+            "ExtendCondList",
+            "ExtendFloatList",
+            "ExtendImageList",
+            "ExtendIntList",
+            "ExtendLatentList",
+            "ExtendMaskList",
+            "ExtendModelList",
+            "ExtendStringList",
+            "FadeMaskEdges",
+            "Filter Contour",
+            "FindComplementaryColor",
+            "FindThreshold",
+            "FlatLatentsIntoSingleGrid",
+            "Framed Mask Grab Cut",
+            "Framed Mask Grab Cut 2",
+            "FromListGet1Color",
+            "FromListGet1Cond",
+            "FromListGet1Float",
+            "FromListGet1Image",
+            "FromListGet1Int",
+            "FromListGet1Latent",
+            "FromListGet1Mask",
+            "FromListGet1Model",
+            "FromListGet1String",
+            "FromListGetColors",
+            "FromListGetConds",
+            "FromListGetFloats",
+            "FromListGetImages",
+            "FromListGetInts",
+            "FromListGetLatents",
+            "FromListGetMasks",
+            "FromListGetModels",
+            "FromListGetStrings",
+            "Get Contour from list",
+            "Get Models",
+            "Get Prompt",
+            "HypernetworkLoader (dirty)",
+            "ImageBatchToList",
+            "InRange (hsv)",
+            "Inpaint",
+            "Input/String to Int Array",
+            "KMeansColor",
+            "Load 64 Encoded Image",
+            "LoraLoader (dirty)",
+            "MaskGrid N KSamplers Advanced",
+            "MaskOuterBlur",
+            "Merge Latent Batch Gridwise",
+            "MonoMerge",
+            "MorphologicOperation",
+            "MorphologicSkeletoning",
+            "NaiveAutoKMeansColor",
+            "OtsuThreshold",
+            "RGB to HSV",
+            "Rect Grab Cut",
+            "Remap",
+            "RemapBarrelDistortion",
+            "RemapFromInsideParabolas",
+            "RemapFromQuadrilateral (homography)",
+            "RemapInsideParabolas",
+            "RemapInsideParabolasAdvanced",
+            "RemapPinch",
+            "RemapReverseBarrelDistortion",
+            "RemapStretch",
+            "RemapToInnerCylinder",
+            "RemapToOuterCylinder",
+            "RemapToQuadrilateral",
+            "RemapWarpPolar",
+            "Repeat Into Grid (image)",
+            "Repeat Into Grid (latent)",
+            "RequestInputs",
+            "SampleColorHSV",
+            "Save Image (api)",
+            "SeamlessClone",
+            "SeamlessClone (simple)",
+            "SetRequestStateToComplete",
+            "String",
+            "String to Float",
+            "String to Integer",
+            "ToColorList",
+            "ToCondList",
+            "ToFloatList",
+            "ToImageList",
+            "ToIntList",
+            "ToLatentList",
+            "ToMaskList",
+            "ToModelList",
+            "ToStringList",
+            "UnGridify (image)",
+            "VAEEncodeBatch"
+        ],
+        {
+            "title_aux": "Bmad Nodes"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_lists_cartesian_product": [
+        [
+            "AnyListCartesianProduct"
+        ],
+        {
+            "title_aux": "Lists Cartesian Product"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_quilting": [
+        [
+            "GuessQuiltingBlockSize_Bmad",
+            "ImageQuiltingSeamlessMB_Bmad",
+            "ImageQuiltingSeamlessSB_Bmad",
+            "ImageQuilting_Bmad",
+            "LatentQuiltingSeamlessMB_Bmad",
+            "LatentQuiltingSeamlessSB_Bmad",
+            "LatentQuilting_Bmad"
+        ],
+        {
+            "title_aux": "comfyui_quilting"
+        }
+    ],
+    "https://github.com/bmad4ever/comfyui_wfc_like": [
+        [
+            "WFC_CustomTemperature_Bmad",
+            "WFC_CustomValueWeights_Bmad",
+            "WFC_Decode_BMad",
+            "WFC_EmptyState_Bmad",
+            "WFC_Encode_BMad",
+            "WFC_Filter_Bmad",
+            "WFC_GenParallel_Bmad",
+            "WFC_Generate_BMad",
+            "WFC_SampleNode_BMad"
+        ],
+        {
+            "title_aux": "comfyui_wfc_like"
+        }
+    ],
+    "https://github.com/bobmagicii/comfykit-custom-nodes": [
+        [
+            "LoraStackFiveSimple",
+            "LoraThree",
+            "LoraWithMeta",
+            "TypecasterClip",
+            "TypecasterCond",
+            "TypecasterImage",
+            "TypecasterLatent",
+            "TypecasterModel",
+            "TypecasterVae"
+        ],
+        {
+            "title_aux": "ComfyKit Custom Nodes"
+        }
+    ],
+    "https://github.com/boredofnames/ComfyUI-ntfy": [
+        [
+            "Ntfy",
+            "SaveImageAndNtfy"
+        ],
+        {
+            "title_aux": "ComfyUI-ntfy"
+        }
+    ],
+    "https://github.com/bradsec/ComfyUI_ResolutionSelector": [
+        [
+            "ResolutionSelector"
+        ],
+        {
+            "title_aux": "ResolutionSelector for ComfyUI"
+        }
+    ],
+    "https://github.com/braintacles/braintacles-comfyui-nodes": [
+        [
+            "CLIPTextEncodeSDXL-Multi-IO",
+            "CLIPTextEncodeSDXL-Pipe",
+            "Empty Latent Image from Aspect-Ratio",
+            "Interval Sampler",
+            "Random Find and Replace"
+        ],
+        {
+            "title_aux": "braintacles-nodes"
+        }
+    ],
+    "https://github.com/brianfitzgerald/style_aligned_comfy": [
+        [
+            "StyleAlignedBatchAlign",
+            "StyleAlignedReferenceSampler",
+            "StyleAlignedSampleReferenceLatents"
+        ],
+        {
+            "title_aux": "StyleAligned for ComfyUI"
+        }
+    ],
+    "https://github.com/bronkula/comfyui-fitsize": [
+        [
+            "FS: Crop Image Into Even Pieces",
+            "FS: Fit Image And Resize",
+            "FS: Fit Size From Image",
+            "FS: Fit Size From Int",
+            "FS: Image Region To Mask",
+            "FS: Load Image And Resize To Fit",
+            "FS: Pick Image From Batch",
+            "FS: Pick Image From Batches",
+            "FS: Pick Image From List"
+        ],
+        {
+            "title_aux": "comfyui-fitsize"
+        }
+    ],
+    "https://github.com/bruefire/ComfyUI-SeqImageLoader": [
+        [
+            "VFrame Loader With Mask Editor",
+            "Video Loader With Mask Editor"
+        ],
+        {
+            "title_aux": "ComfyUI Sequential Image Loader"
+        }
+    ],
+    "https://github.com/budihartono/comfyui_otonx_nodes": [
+        [
+            "OTX Integer Multiple Inputs 4",
+            "OTX Integer Multiple Inputs 5",
+            "OTX Integer Multiple Inputs 6",
+            "OTX KSampler Feeder",
+            "OTX Versatile Multiple Inputs 4",
+            "OTX Versatile Multiple Inputs 5",
+            "OTX Versatile Multiple Inputs 6"
+        ],
+        {
+            "title_aux": "Otonx's Custom Nodes"
+        }
+    ],
+    "https://github.com/bvhari/ComfyUI_ImageProcessing": [
+        [
+            "BilateralFilter",
+            "Brightness",
+            "Gamma",
+            "Hue",
+            "Saturation",
+            "SigmoidCorrection",
+            "UnsharpMask"
+        ],
+        {
+            "title_aux": "ImageProcessing"
+        }
+    ],
+    "https://github.com/bvhari/ComfyUI_PerpWeight": [
+        [
+            "CLIPTextEncodePerpWeight"
+        ],
+        {
+            "title_aux": "ComfyUI_PerpWeight"
+        }
+    ],
+    "https://github.com/bvhari/ComfyUI_SUNoise": [
+        [
+            "SUNoiseLatent",
+            "SamplersSUNoise",
+            "SamplersSUNoiseAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI_SUNoise"
+        }
+    ],
+    "https://github.com/caleboleary/ComfyUI-Arc2Face": [
+        [
+            "Arc2FaceEncoderLoader",
+            "Arc2FaceFaceExtractor",
+            "Arc2FaceGenerator",
+            "Arc2FaceImageGridGenerator",
+            "Arc2FaceImg2ImgGenerator",
+            "Arc2FaceUNetLoader"
+        ],
+        {
+            "title_aux": "Arc2Face ComfyUI Node Library"
+        }
+    ],
+    "https://github.com/camenduru/ComfyUI-TostAI": [
+        [
+            "SendToTostAI"
+        ],
+        {
+            "title_aux": "ComfyUI-TostAI"
+        }
+    ],
+    "https://github.com/catscandrive/comfyui-imagesubfolders/raw/main/loadImageWithSubfolders.py": [
+        [
+            "LoadImagewithSubfolders"
+        ],
+        {
+            "title_aux": "Image loader with subfolders"
+        }
+    ],
+    "https://github.com/cdb-boop/ComfyUI-Bringing-Old-Photos-Back-to-Life": [
+        [
+            "BOPBTL_BlendFaces",
+            "BOPBTL_DetectEnhanceBlendFaces",
+            "BOPBTL_DetectFaces",
+            "BOPBTL_EnhanceFaces",
+            "BOPBTL_EnhanceFacesAdvanced",
+            "BOPBTL_LoadFaceDetectorModel",
+            "BOPBTL_LoadFaceEnhancerModel",
+            "BOPBTL_LoadRestoreOldPhotosModel",
+            "BOPBTL_LoadScratchMaskModel",
+            "BOPBTL_RestoreOldPhotos",
+            "BOPBTL_ScratchMask"
+        ],
+        {
+            "title_aux": "ComfyUI Bringing Old Photos Back to Life"
+        }
+    ],
+    "https://github.com/cdb-boop/comfyui-image-round": [
+        [
+            "ComfyUI_Image_Round__ImageCropAdvanced",
+            "ComfyUI_Image_Round__ImageRound",
+            "ComfyUI_Image_Round__ImageRoundAdvanced"
+        ],
+        {
+            "title_aux": "comfyui-image-round"
+        }
+    ],
+    "https://github.com/cdxOo/comfyui-text-node-with-comments": [
+        [
+            "text-node-with-comments"
+        ],
+        {
+            "title_aux": "Text Node With Comments (@cdxoo)"
+        }
+    ],
+    "https://github.com/celoron/ComfyUI-VisualQueryTemplate": [
+        [
+            "VisualQueryTemplateNode"
+        ],
+        {
+            "title_aux": "ComfyUI-VisualQueryTemplate"
+        }
+    ],
+    "https://github.com/celsojr2013/comfyui_jamworks_client": [
+        [
+            "Jamworks_Download",
+            "Jamworks_Login",
+            "Shell_Command"
+        ],
+        {
+            "title_aux": "comfyui_jamworks_client"
+        }
+    ],
+    "https://github.com/celsojr2013/comfyui_simpletools": [
+        [
+            "GoogleTranslator",
+            "Parameters",
+            "ResolutionSolver"
+        ],
+        {
+            "title_aux": "ComfyUI SimpleTools Suit"
+        }
+    ],
+    "https://github.com/cerspense/ComfyUI_cspnodes": [
+        [
+            "DepthToNormalMap",
+            "ImageDirIterator",
+            "IncrementEveryN",
+            "Modelscopet2v",
+            "Modelscopev2v",
+            "RemapRange",
+            "ResizeByImage",
+            "SplitImageChannels",
+            "TextFileLineIterator",
+            "VidDirIterator"
+        ],
+        {
+            "title_aux": "cspnodes"
+        }
+    ],
+    "https://github.com/ceruleandeep/ComfyUI-LLaVA-Captioner": [
+        [
+            "LlavaCaptioner"
+        ],
+        {
+            "title_aux": "ComfyUI LLaVA Captioner"
+        }
+    ],
+    "https://github.com/chakib-belgaid/ComfyUI-autosize": [
+        [
+            "CustomAutoSize",
+            "SDXLAutoSize"
+        ],
+        {
+            "title_aux": "ComfyUI-autosize"
+        }
+    ],
+    "https://github.com/chakib-belgaid/Comfyui_Prompt_styler": [
+        [
+            "Prompt_Styler"
+        ],
+        {
+            "title_aux": "ComfyUI Style Plugin"
+        }
+    ],
+    "https://github.com/chandlergis/ComfyUI-IMG_Query": [
+        [
+            "ImageRequestNode"
+        ],
+        {
+            "title_aux": "ComfyUI-IMG_Query"
+        }
+    ],
+    "https://github.com/chandlergis/ComfyUI_EmojiOverlay": [
+        [
+            "Image Emoji Overlay"
+        ],
+        {
+            "title_aux": "ComfyUI_EmojiOverlay"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-AniPortrait": [
+        [
+            "AniPortraitLoader",
+            "AniPortraitRun",
+            "Box2Video",
+            "CoverVideo",
+            "MaskList2Video"
+        ],
+        {
+            "title_aux": "ComfyUI-AniPortrait"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper": [
+        [
+            "CameraBasic",
+            "CameraCombine",
+            "CameraCtrlLoader",
+            "CameraCtrlRun",
+            "CameraJoin",
+            "CameraTrajectory"
+        ],
+        {
+            "title_aux": "ComfyUI-CameraCtrl-Wrapper"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Champ": [
+        [
+            "ChampLoader",
+            "ChampRun",
+            "ImageCombineOneColumn",
+            "ImageCombineOneRow"
+        ],
+        {
+            "title_aux": "ComfyUI-Champ"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-DragAnything": [
+        [
+            "DragAnythingLoader",
+            "DragAnythingPipelineRun",
+            "DragAnythingPipelineRunRandom",
+            "DragAnythingRun",
+            "DragAnythingRunRandom",
+            "LoadText",
+            "SaveText",
+            "VHS_FILENAMES_STRING"
+        ],
+        {
+            "title_aux": "ComfyUI-DragAnything"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-DragNUWA": [
+        [
+            "BrushMotion",
+            "CompositeMotionBrush",
+            "CompositeMotionBrushWithoutModel",
+            "DragNUWA Run",
+            "DragNUWA Run MotionBrush",
+            "Get First Image",
+            "Get Last Image",
+            "InstantCameraMotionBrush",
+            "InstantObjectMotionBrush",
+            "Load CheckPoint DragNUWA",
+            "Load MotionBrush From Optical Flow",
+            "Load MotionBrush From Optical Flow Directory",
+            "Load MotionBrush From Optical Flow Without Model",
+            "Load MotionBrush From Tracking Points",
+            "Load MotionBrush From Tracking Points Without Model",
+            "Load Pose KeyPoints",
+            "Loop",
+            "LoopEnd_IMAGE",
+            "LoopStart_IMAGE",
+            "Split Tracking Points"
+        ],
+        {
+            "title_aux": "ComfyUI-DragNUWA"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-DynamiCrafter": [
+        [
+            "DynamiCrafter Simple",
+            "DynamiCrafterInterp Simple",
+            "DynamiCrafterInterpLoader",
+            "DynamiCrafterLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-DynamiCrafter"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-EasyAnimate": [
+        [
+            "EasyAnimateLoader",
+            "EasyAnimateRun"
+        ],
+        {
+            "title_aux": "ComfyUI-EasyAnimate"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Gemma": [
+        [
+            "GemmaLoader",
+            "GemmaRun"
+        ],
+        {
+            "title_aux": "ComfyUI-Gemma"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-I2VGEN-XL": [
+        [
+            "I2VGEN-XL Simple",
+            "Modelscope Pipeline Loader"
+        ],
+        {
+            "title_aux": "ComfyUI-I2VGEN-XL"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Img2Img-Turbo": [
+        [
+            "Img2ImgTurboEdgeLoader",
+            "Img2ImgTurboEdgeRun",
+            "Img2ImgTurboSketchLoader",
+            "Img2ImgTurboSketchRun"
+        ],
+        {
+            "title_aux": "ComfyUI-Img2Img-Turbo"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-LaVIT": [
+        [
+            "VHS_FILENAMES_STRING_LaVIT",
+            "VideoLaVITI2I",
+            "VideoLaVITI2V",
+            "VideoLaVITI2VLong",
+            "VideoLaVITLoader",
+            "VideoLaVITT2V",
+            "VideoLaVITT2VLong",
+            "VideoLaVITUnderstandingImage",
+            "VideoLaVITUnderstandingLoader",
+            "VideoLaVITUnderstandingVideo",
+            "VideoLaVITVideoDetokenizerLoader",
+            "VideoLaVITVideoReconstruction"
+        ],
+        {
+            "title_aux": "ComfyUI-LaVIT"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-LightGlue": [
+        [
+            "LightGlue Loader",
+            "LightGlue Simple",
+            "LightGlue Simple Multi"
+        ],
+        {
+            "title_aux": "ComfyUI-LightGlue"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Moore-AnimateAnyone": [
+        [
+            "Moore-AnimateAnyone Denoising Unet",
+            "Moore-AnimateAnyone Image Encoder",
+            "Moore-AnimateAnyone Pipeline Loader",
+            "Moore-AnimateAnyone Pose Guider",
+            "Moore-AnimateAnyone Reference Unet",
+            "Moore-AnimateAnyone Simple",
+            "Moore-AnimateAnyone VAE"
+        ],
+        {
+            "title_aux": "ComfyUI-Moore-AnimateAnyone"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Motion-Vector-Extractor": [
+        [
+            "Motion Vector Extractor",
+            "VideoCombineThenPath"
+        ],
+        {
+            "title_aux": "ComfyUI-Motion-Vector-Extractor"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MotionCtrl": [
+        [
+            "Load Motion Camera Preset",
+            "Load Motion Traj Preset",
+            "Load Motionctrl Checkpoint",
+            "Motionctrl Cond",
+            "Motionctrl Sample",
+            "Motionctrl Sample Simple",
+            "Select Image Indices"
+        ],
+        {
+            "title_aux": "ComfyUI-MotionCtrl"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MotionCtrl-SVD": [
+        [
+            "Load Motionctrl-SVD Camera Preset",
+            "Load Motionctrl-SVD Checkpoint",
+            "Motionctrl-SVD Sample Simple"
+        ],
+        {
+            "title_aux": "ComfyUI-MotionCtrl-SVD"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MuseTalk": [
+        [
+            "MuseTalkCupAudio",
+            "MuseTalkRun",
+            "VHS_FILENAMES_STRING_MuseTalk"
+        ],
+        {
+            "title_aux": "ComfyUI-MuseTalk"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-MuseV": [
+        [
+            "MuseVRun",
+            "MuseVRunVid2Vid",
+            "VHS_FILENAMES_STRING_MuseV"
+        ],
+        {
+            "author": "infguo",
+            "title_aux": "ComfyUI-MuseV"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Open-Sora": [
+        [
+            "OpenSoraLoader",
+            "OpenSoraRun",
+            "OpenSoraSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-Open-Sora"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Open-Sora-Plan": [
+        [
+            "OpenSoraPlanDecode",
+            "OpenSoraPlanLoader",
+            "OpenSoraPlanRun",
+            "OpenSoraPlanSample"
+        ],
+        {
+            "title_aux": "ComfyUI-Open-Sora-Plan"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Panda3d": [
+        [
+            "Panda3dAmbientLight",
+            "Panda3dAttachNewNode",
+            "Panda3dBase",
+            "Panda3dDirectionalLight",
+            "Panda3dLoadDepthModel",
+            "Panda3dLoadModel",
+            "Panda3dLoadTexture",
+            "Panda3dModelMerge",
+            "Panda3dTest",
+            "Panda3dTextureMerge"
+        ],
+        {
+            "title_aux": "ComfyUI-Panda3d"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Pymunk": [
+        [
+            "PygameRun",
+            "PygameSurface",
+            "PymunkDynamicBox",
+            "PymunkDynamicCircle",
+            "PymunkRun",
+            "PymunkShapeMerge",
+            "PymunkSpace",
+            "PymunkStaticLine"
+        ],
+        {
+            "title_aux": "ComfyUI-Pymunk"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-RAFT": [
+        [
+            "Load MotionBrush",
+            "RAFT Run",
+            "Save MotionBrush",
+            "VizMotionBrush"
+        ],
+        {
+            "title_aux": "ComfyUI-RAFT"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-SimDA": [
+        [
+            "SimDALoader",
+            "SimDARun",
+            "SimDATrain",
+            "VHS_FILENAMES_STRING_SimDA"
+        ],
+        {
+            "title_aux": "ComfyUI-SimDA"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Trajectory": [
+        [
+            "Trajectory_Canvas_Tab"
+        ],
+        {
+            "author": "Lerc",
+            "description": "This extension provides a full page image editor with mask support. There are two nodes, one to receive images from the editor and one to send images to the editor.",
+            "nickname": "Canvas Tab",
+            "title": "Canvas Tab",
+            "title_aux": "ComfyUI-Trajectory"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-Video-Editing-X-Attention": [
+        [
+            "StringList",
+            "VEXAGuidance",
+            "VEXALoader",
+            "VEXARun"
+        ],
+        {
+            "title_aux": "ComfyUI-Video-Editing-X-Attention"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI-dust3r": [
+        [
+            "CameraPoseVideo",
+            "Dust3rLoader",
+            "Dust3rRun"
+        ],
+        {
+            "title_aux": "ComfyUI-dust3r"
+        }
+    ],
+    "https://github.com/chaojie/ComfyUI_StreamingT2V": [
+        [
+            "LoadText_StreamingT2V",
+            "PromptTravelIndex",
+            "SaveText_StreamingT2V",
+            "StreamingT2VLoaderAnimateDiff",
+            "StreamingT2VLoaderAnimateDiffModel",
+            "StreamingT2VLoaderEnhanceModel",
+            "StreamingT2VLoaderModelscopeModel",
+            "StreamingT2VLoaderModelscopeT2V",
+            "StreamingT2VLoaderSVD",
+            "StreamingT2VLoaderSVDModel",
+            "StreamingT2VLoaderStreamModel",
+            "StreamingT2VLoaderVidXTendModel",
+            "StreamingT2VRunEnhanceStep",
+            "StreamingT2VRunI2V",
+            "StreamingT2VRunLongStep",
+            "StreamingT2VRunLongStepVidXTendPipeline",
+            "StreamingT2VRunLongStepVidXTendPipelineCustomRef",
+            "StreamingT2VRunLongStepVidXTendPipelineCustomRefOutExtendOnly",
+            "StreamingT2VRunLongStepVidXTendPipelinePromptTravel",
+            "StreamingT2VRunShortStepAnimateDiff",
+            "StreamingT2VRunShortStepModelscopeT2V",
+            "StreamingT2VRunShortStepSVD",
+            "StreamingT2VRunT2V",
+            "VHS_FILENAMES_STRING_StreamingT2V"
+        ],
+        {
+            "title_aux": "ComfyUI_StreamingT2V"
+        }
+    ],
+    "https://github.com/chaosaiart/Chaosaiart-Nodes": [
+        [
+            "chaosaiart_Any_Switch",
+            "chaosaiart_Any_Switch_Big_Number",
+            "chaosaiart_Any_Switch_small",
+            "chaosaiart_CheckpointLoader",
+            "chaosaiart_CheckpointPrompt",
+            "chaosaiart_CheckpointPrompt2",
+            "chaosaiart_CheckpointPrompt_Frame",
+            "chaosaiart_CheckpointPrompt_FrameMixer",
+            "chaosaiart_ControlNetApply",
+            "chaosaiart_ControlNetApply2",
+            "chaosaiart_ControlNetApply3",
+            "chaosaiart_Denoising_Switch",
+            "chaosaiart_EmptyLatentImage",
+            "chaosaiart_FramePromptCLIPEncode",
+            "chaosaiart_Frame_Switch",
+            "chaosaiart_KSampler1",
+            "chaosaiart_KSampler2",
+            "chaosaiart_KSampler3",
+            "chaosaiart_KSampler4",
+            "chaosaiart_KSampler5",
+            "chaosaiart_KSampler7",
+            "chaosaiart_KSampler_a1",
+            "chaosaiart_KSampler_a1a",
+            "chaosaiart_KSampler_a2",
+            "chaosaiart_KSampler_expert_0",
+            "chaosaiart_KSampler_expert_1",
+            "chaosaiart_Ksampler_attribut",
+            "chaosaiart_Load_Image_Batch",
+            "chaosaiart_Load_Image_Batch_2img",
+            "chaosaiart_MainPromptCLIPEncode",
+            "chaosaiart_Number",
+            "chaosaiart_Number2",
+            "chaosaiart_Number_Counter",
+            "chaosaiart_Number_Switch",
+            "chaosaiart_Prompt",
+            "chaosaiart_Prompt_Frame",
+            "chaosaiart_Prompt_mixer_byFrame",
+            "chaosaiart_SaveImage",
+            "chaosaiart_Show_Info",
+            "chaosaiart_Simple_Prompt",
+            "chaosaiart_Style_Node",
+            "chaosaiart_TextCLIPEncode",
+            "chaosaiart_TextCLIPEncode_lora",
+            "chaosaiart_adjust_color",
+            "chaosaiart_any_array2input_1Input",
+            "chaosaiart_any_array2input_all_big",
+            "chaosaiart_any_array2input_all_small",
+            "chaosaiart_any_input2array_big",
+            "chaosaiart_any_input2array_small",
+            "chaosaiart_controlnet_weidgth",
+            "chaosaiart_convert",
+            "chaosaiart_convert_Prompt",
+            "chaosaiart_forPreview",
+            "chaosaiart_image_loop",
+            "chaosaiart_img2gif",
+            "chaosaiart_img2video",
+            "chaosaiart_lora",
+            "chaosaiart_lora_advanced",
+            "chaosaiart_merge_Folders",
+            "chaosaiart_oneNode",
+            "chaosaiart_reloadAny_Load",
+            "chaosaiart_reloadAny_Save",
+            "chaosaiart_reloadIMG_Load",
+            "chaosaiart_reloadIMG_Save",
+            "chaosaiart_reloadLatent_Load",
+            "chaosaiart_reloadLatent_Save",
+            "chaosaiart_restarter",
+            "chaosaiart_restarter_advanced",
+            "chaosaiart_video2img1",
+            "chaosaiart_zoom_frame"
+        ],
+        {
+            "title_aux": "Chaosaiart-Nodes"
+        }
+    ],
+    "https://github.com/chesnokovivan/ComfyUI-Novakid": [
+        [
+            "Novakid Styler"
+        ],
+        {
+            "title_aux": "ComfyUI-Novakid"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_CatVTON_Wrapper": [
+        [
+            "CatVTONWrapper"
+        ],
+        {
+            "author": "chflame",
+            "description": "CatVTON warpper for ComfyUI",
+            "nickname": "CatVTON_Wrapper",
+            "title": "CatVTON_Wrapper",
+            "title_aux": "ComfyUI_CatVTON_Wrapper"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_FaceSimilarity": [
+        [
+            "Face Similarity"
+        ],
+        {
+            "title_aux": "ComfyUI Face Similarity"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_LayerStyle": [
+        [
+            "LayerColor: AutoAdjust",
+            "LayerColor: AutoAdjustV2",
+            "LayerColor: AutoBrightness",
+            "LayerColor: Brightness & Contrast",
+            "LayerColor: Color of Shadow & Highlight",
+            "LayerColor: ColorAdapter",
+            "LayerColor: ColorBalance",
+            "LayerColor: ColorTemperature",
+            "LayerColor: Exposure",
+            "LayerColor: Gamma",
+            "LayerColor: HSV",
+            "LayerColor: LAB",
+            "LayerColor: LUT Apply",
+            "LayerColor: Levels",
+            "LayerColor: RGB",
+            "LayerColor: YUV",
+            "LayerFilter: AddGrain",
+            "LayerFilter: ChannelShake",
+            "LayerFilter: ColorMap",
+            "LayerFilter: Film",
+            "LayerFilter: FilmV2",
+            "LayerFilter: GaussianBlur",
+            "LayerFilter: HDREffects",
+            "LayerFilter: LightLeak",
+            "LayerFilter: MotionBlur",
+            "LayerFilter: Sharp & Soft",
+            "LayerFilter: SkinBeauty",
+            "LayerFilter: SoftLight",
+            "LayerFilter: WaterColor",
+            "LayerMask: BBoxJoin",
+            "LayerMask: BiRefNetUltra",
+            "LayerMask: BlendIf Mask",
+            "LayerMask: CreateGradientMask",
+            "LayerMask: EVFSAMUltra",
+            "LayerMask: Florence2Ultra",
+            "LayerMask: ImageToMask",
+            "LayerMask: LoadFlorence2Model",
+            "LayerMask: MaskBoxDetect",
+            "LayerMask: MaskByColor",
+            "LayerMask: MaskByDifferent",
+            "LayerMask: MaskEdgeShrink",
+            "LayerMask: MaskEdgeUltraDetail",
+            "LayerMask: MaskEdgeUltraDetail V2",
+            "LayerMask: MaskGradient",
+            "LayerMask: MaskGrain",
+            "LayerMask: MaskGrow",
+            "LayerMask: MaskInvert",
+            "LayerMask: MaskMotionBlur",
+            "LayerMask: MaskPreview",
+            "LayerMask: MaskStroke",
+            "LayerMask: MediapipeFacialSegment",
+            "LayerMask: ObjectDetectorFL2",
+            "LayerMask: ObjectDetectorMask",
+            "LayerMask: ObjectDetectorYOLO8",
+            "LayerMask: ObjectDetectorYOLOWorld",
+            "LayerMask: PersonMaskUltra",
+            "LayerMask: PersonMaskUltra V2",
+            "LayerMask: PixelSpread",
+            "LayerMask: RemBgUltra",
+            "LayerMask: RmBgUltra V2",
+            "LayerMask: SAM2Ultra",
+            "LayerMask: SAM2VideoUltra",
+            "LayerMask: SegformerB2ClothesUltra",
+            "LayerMask: SegformerClothesPipelineLoader",
+            "LayerMask: SegformerFashionPipelineLoader",
+            "LayerMask: SegformerUltraV2",
+            "LayerMask: SegmentAnythingUltra",
+            "LayerMask: SegmentAnythingUltra V2",
+            "LayerMask: Shadow & Highlight Mask",
+            "LayerMask: TransparentBackgroundUltra",
+            "LayerMask: YoloV8Detect",
+            "LayerStyle: ColorOverlay",
+            "LayerStyle: ColorOverlay V2",
+            "LayerStyle: DropShadow",
+            "LayerStyle: DropShadow V2",
+            "LayerStyle: Gradient Map",
+            "LayerStyle: GradientOverlay",
+            "LayerStyle: GradientOverlay V2",
+            "LayerStyle: InnerGlow",
+            "LayerStyle: InnerGlow V2",
+            "LayerStyle: InnerShadow",
+            "LayerStyle: InnerShadow V2",
+            "LayerStyle: OuterGlow",
+            "LayerStyle: OuterGlow V2",
+            "LayerStyle: Stroke",
+            "LayerStyle: Stroke V2",
+            "LayerUtility: AddBlindWaterMark",
+            "LayerUtility: BatchSelector",
+            "LayerUtility: Boolean",
+            "LayerUtility: BooleanOperator",
+            "LayerUtility: BooleanOperatorV2",
+            "LayerUtility: CheckMask",
+            "LayerUtility: CheckMaskV2",
+            "LayerUtility: ColorImage",
+            "LayerUtility: ColorImage V2",
+            "LayerUtility: ColorPicker",
+            "LayerUtility: CreateQRCode",
+            "LayerUtility: CropBoxResolve",
+            "LayerUtility: CropByMask",
+            "LayerUtility: CropByMask V2",
+            "LayerUtility: DecodeQRCode",
+            "LayerUtility: ExtendCanvas",
+            "LayerUtility: ExtendCanvasV2",
+            "LayerUtility: Float",
+            "LayerUtility: Florence2Image2Prompt",
+            "LayerUtility: GetColorTone",
+            "LayerUtility: GetColorToneV2",
+            "LayerUtility: GetImageSize",
+            "LayerUtility: GradientImage",
+            "LayerUtility: GradientImage V2",
+            "LayerUtility: HLFrequencyDetailRestore",
+            "LayerUtility: HSV Value",
+            "LayerUtility: If",
+            "LayerUtility: ImageAutoCrop",
+            "LayerUtility: ImageAutoCrop V2",
+            "LayerUtility: ImageAutoCrop V3",
+            "LayerUtility: ImageBlend",
+            "LayerUtility: ImageBlend V2",
+            "LayerUtility: ImageBlendAdvance",
+            "LayerUtility: ImageBlendAdvance V2",
+            "LayerUtility: ImageChannelMerge",
+            "LayerUtility: ImageChannelSplit",
+            "LayerUtility: ImageCombineAlpha",
+            "LayerUtility: ImageHub",
+            "LayerUtility: ImageMaskScaleAs",
+            "LayerUtility: ImageOpacity",
+            "LayerUtility: ImageReel",
+            "LayerUtility: ImageReelComposit",
+            "LayerUtility: ImageRemoveAlpha",
+            "LayerUtility: ImageRewardFilter",
+            "LayerUtility: ImageScaleByAspectRatio",
+            "LayerUtility: ImageScaleByAspectRatio V2",
+            "LayerUtility: ImageScaleRestore",
+            "LayerUtility: ImageScaleRestore V2",
+            "LayerUtility: ImageShift",
+            "LayerUtility: ImageTaggerSave",
+            "LayerUtility: Integer",
+            "LayerUtility: LaMa",
+            "LayerUtility: LayerImageTransform",
+            "LayerUtility: LayerMaskTransform",
+            "LayerUtility: LoadPSD",
+            "LayerUtility: NumberCalculator",
+            "LayerUtility: NumberCalculatorV2",
+            "LayerUtility: PrintInfo",
+            "LayerUtility: PromptEmbellish",
+            "LayerUtility: PromptTagger",
+            "LayerUtility: PurgeVRAM",
+            "LayerUtility: QWenImage2Prompt",
+            "LayerUtility: QueueStop",
+            "LayerUtility: RGB Value",
+            "LayerUtility: RandomGenerator",
+            "LayerUtility: RestoreCropBox",
+            "LayerUtility: SD3NegativeConditioning",
+            "LayerUtility: SaveImagePlus",
+            "LayerUtility: Seed",
+            "LayerUtility: ShowBlindWaterMark",
+            "LayerUtility: SimpleTextImage",
+            "LayerUtility: String",
+            "LayerUtility: StringCondition",
+            "LayerUtility: SwitchCase",
+            "LayerUtility: TextBox",
+            "LayerUtility: TextImage",
+            "LayerUtility: TextJoin",
+            "LayerUtility: XY to Percent"
+        ],
+        {
+            "author": "chflame",
+            "description": "A set of nodes for ComfyUI that can composite layer and mask to achieve Photoshop like functionality.",
+            "nickname": "LayerStyle",
+            "title": "LayerStyle",
+            "title_aux": "ComfyUI Layer Style"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_MSSpeech_TTS": [
+        [
+            "Input Trigger",
+            "MicrosoftSpeech_TTS",
+            "Play Sound",
+            "Play Sound (loop)"
+        ],
+        {
+            "title_aux": "ComfyUI_MSSpeech_TTS"
+        }
+    ],
+    "https://github.com/chflame163/ComfyUI_WordCloud": [
+        [
+            "ComfyWordCloud",
+            "LoadTextFile",
+            "RGB_Picker"
+        ],
+        {
+            "title_aux": "ComfyUI_WordCloud"
+        }
+    ],
+    "https://github.com/chibiace/ComfyUI-Chibi-Nodes": [
+        [
+            "ConditionText",
+            "ConditionTextMulti",
+            "ConditionTextPrompts",
+            "ImageAddText",
+            "ImageSimpleResize",
+            "ImageSizeInfo",
+            "ImageTool",
+            "Int2String",
+            "LoadEmbedding",
+            "LoadImageExtended",
+            "Loader",
+            "Prompts",
+            "RandomResolutionLatent",
+            "SaveImages",
+            "SeedGenerator",
+            "SimpleSampler",
+            "TextSplit",
+            "Textbox",
+            "Wildcards"
+        ],
+        {
+            "title_aux": "ComfyUI-Chibi-Nodes"
+        }
+    ],
+    "https://github.com/choey/Comfy-Topaz": [
+        [
+            "TopazPhotoAI",
+            "TopazSharpenSettings",
+            "TopazUpscaleSettings"
+        ],
+        {
+            "title_aux": "Comfy-Topaz"
+        }
+    ],
+    "https://github.com/chris-the-wiz/EmbeddingsCurveEditor_ComfyUI": [
+        [
+            "Embeddings Curve Editor"
+        ],
+        {
+            "title_aux": "EmbeddingsCurveEditor_ComfyUI"
+        }
+    ],
+    "https://github.com/chrisfreilich/virtuoso-nodes": [
+        [
+            "BlackAndWhite",
+            "BlendIf",
+            "BlendModes",
+            "ColorBalance",
+            "ColorBalanceAdvanced",
+            "GaussianBlur",
+            "GaussianBlurDepth",
+            "HueSat",
+            "HueSatAdvanced",
+            "LensBlur",
+            "LensBlurDepth",
+            "Levels",
+            "MergeRGB",
+            "MotionBlur",
+            "MotionBlurDepth",
+            "SelectiveColor",
+            "SolidColor",
+            "SolidColorHSV",
+            "SolidColorRGB",
+            "SplitRGB"
+        ],
+        {
+            "author": "Chris Freilich",
+            "description": "This extension provides blur nodes.",
+            "nickname": "Virtuoso Pack - Blur",
+            "title": "Virtuoso Pack - Blur",
+            "title_aux": "Virtuoso Nodes for ComfyUI"
+        }
+    ],
+    "https://github.com/chrisgoringe/cg-image-picker": [
+        [
+            "Preview Chooser",
+            "Preview Chooser Fabric",
+            "Simple Chooser"
+        ],
+        {
+            "author": "chrisgoringe",
+            "description": "Custom nodes that preview images and pause the workflow to allow the user to select one or more to progress",
+            "nickname": "Image Chooser",
+            "title": "Image Chooser",
+            "title_aux": "Image chooser"
+        }
+    ],
+    "https://github.com/chrisgoringe/cg-noisetools": [
+        [
+            "Batch Noise Simulate",
+            "Mix Noise",
+            "Seperable Batch Noise",
+            "Shape Noise"
+        ],
+        {
+            "title_aux": "Noise variation and batch noise tools"
+        }
+    ],
+    "https://github.com/chrisgoringe/cg-use-everywhere": [
+        [
+            "Seed Everywhere"
+        ],
+        {
+            "nodename_pattern": "(^(Prompts|Anything) Everywhere|Simple String)",
+            "title_aux": "Use Everywhere (UE Nodes)"
+        }
+    ],
+    "https://github.com/christian-byrne/audio-separation-nodes-comfyui": [
+        [
+            "AudioCombine",
+            "AudioCrop",
+            "AudioGetTempo",
+            "AudioSeparation",
+            "AudioSpeedShift",
+            "AudioTempoMatch",
+            "AudioVideoCombine"
+        ],
+        {
+            "title_aux": "audio-separation-nodes-comfyui"
+        }
+    ],
+    "https://github.com/christian-byrne/img2colors-comfyui-node": [
+        [
+            "bmy_Img2ColorNode"
+        ],
+        {
+            "author": "christian-byrne",
+            "description": "",
+            "nickname": "img2color",
+            "title": "Img2Color Node - Detect and describe color palettes in images",
+            "title_aux": "Img2color - Extract Colors from Image"
+        }
+    ],
+    "https://github.com/christian-byrne/img2txt-comfyui-nodes": [
+        [
+            "img2txt BLIP/Llava Multimodel Tagger"
+        ],
+        {
+            "author": "christian-byrne",
+            "title": "Img2Txt auto captioning",
+            "title_aux": "img2txt-comfyui-nodes"
+        }
+    ],
+    "https://github.com/christian-byrne/size-match-compositing-nodes": [
+        [
+            "Composite Alpha Layer",
+            "Size Match Images/Masks"
+        ],
+        {
+            "title_aux": "Node - Size Matcher"
+        }
+    ],
+    "https://github.com/christian-byrne/youtube-dl-comfyui": [
+        [
+            "YoutubeDL"
+        ],
+        {
+            "title_aux": "youtube-dl-comfyui"
+        }
+    ],
+    "https://github.com/city96/ComfyUI-GGUF": [
+        [
+            "CLIPLoaderGGUF",
+            "DualCLIPLoaderGGUF",
+            "TripleCLIPLoaderGGUF",
+            "UnetLoaderGGUF",
+            "UnetLoaderGGUFAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI-GGUF"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_ColorMod": [
+        [
+            "CV2Tonemap",
+            "CV2TonemapDrago",
+            "CV2TonemapDurand",
+            "CV2TonemapMantiuk",
+            "CV2TonemapReinhard",
+            "ColorModCompress",
+            "ColorModEdges",
+            "ColorModMove",
+            "ColorModPivot",
+            "ColorspaceConvert",
+            "HDRCreate",
+            "HDRExposureFusion",
+            "LoadImageHDR",
+            "LoadImageHighPrec",
+            "PreviewImageHighPrec",
+            "SaveImageHDR",
+            "SaveImageHighPrec"
+        ],
+        {
+            "title_aux": "ComfyUI_ColorMod"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_DiT": [
+        [
+            "DiTCheckpointLoader",
+            "DiTCheckpointLoaderSimple",
+            "DiTLabelCombine",
+            "DiTLabelSelect",
+            "DiTSampler"
+        ],
+        {
+            "title_aux": "ComfyUI_DiT [WIP]"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_ExtraModels": [
+        [
+            "DiTCondLabelEmpty",
+            "DiTCondLabelSelect",
+            "DitCheckpointLoader",
+            "ExtraVAELoader",
+            "HYDiTCheckpointLoader",
+            "HYDiTSrcSizeCond",
+            "HYDiTTextEncode",
+            "HYDiTTextEncodeSimple",
+            "HYDiTTextEncoderLoader",
+            "MiaoBiCLIPLoader",
+            "MiaoBiDiffusersLoader",
+            "OverrideCLIPDevice",
+            "OverrideVAEDevice",
+            "PixArtCheckpointLoader",
+            "PixArtCheckpointLoaderSimple",
+            "PixArtControlNetCond",
+            "PixArtLoraLoader",
+            "PixArtResolutionCond",
+            "PixArtResolutionSelect",
+            "PixArtT5FromSD3CLIP",
+            "PixArtT5TextEncode",
+            "T5TextEncode",
+            "T5v11Loader"
+        ],
+        {
+            "title_aux": "Extra Models for ComfyUI"
+        }
+    ],
+    "https://github.com/city96/ComfyUI_NetDist": [
+        [
+            "CombineImageBatch",
+            "FetchRemote",
+            "LoadCurrentWorkflowJSON",
+            "LoadDiskWorkflowJSON",
+            "LoadImageUrl",
+            "LoadLatentNumpy",
+            "LoadLatentUrl",
+            "RemoteChainEnd",
+            "RemoteChainStart",
+            "RemoteQueueSimple",
+            "RemoteQueueWorker",
+            "SaveDiskWorkflowJSON",
+            "SaveImageUrl",
+            "SaveLatentNumpy"
+        ],
+        {
+            "title_aux": "ComfyUI_NetDist"
+        }
+    ],
+    "https://github.com/city96/SD-Advanced-Noise": [
+        [
+            "LatentGaussianNoise",
+            "MathEncode"
+        ],
+        {
+            "title_aux": "SD-Advanced-Noise"
+        }
+    ],
+    "https://github.com/city96/SD-Latent-Interposer": [
+        [
+            "LatentInterposer"
+        ],
+        {
+            "title_aux": "Latent-Interposer"
+        }
+    ],
+    "https://github.com/city96/SD-Latent-Upscaler": [
+        [
+            "LatentUpscaler"
+        ],
+        {
+            "title_aux": "SD-Latent-Upscaler"
+        }
+    ],
+    "https://github.com/civitai/comfy-nodes": [
+        [
+            "CivitAI_Checkpoint_Loader",
+            "CivitAI_Lora_Loader"
+        ],
+        {
+            "title_aux": "comfy-nodes"
+        }
+    ],
+    "https://github.com/claussteinmassl/ComfyUI-CS-CustomNodes": [
+        [
+            "CS Transform"
+        ],
+        {
+            "title_aux": "CS Transform Node for ComfyUI"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI": [
+        [
+            "AddNoise",
+            "AlignYourStepsScheduler",
+            "BasicGuider",
+            "BasicScheduler",
+            "BetaSamplingScheduler",
+            "CFGGuider",
+            "CLIPAttentionMultiply",
+            "CLIPLoader",
+            "CLIPMergeAdd",
+            "CLIPMergeSimple",
+            "CLIPMergeSubtract",
+            "CLIPSave",
+            "CLIPSetLastLayer",
+            "CLIPTextEncode",
+            "CLIPTextEncodeControlnet",
+            "CLIPTextEncodeFlux",
+            "CLIPTextEncodeHunyuanDiT",
+            "CLIPTextEncodeSD3",
+            "CLIPTextEncodeSDXL",
+            "CLIPTextEncodeSDXLRefiner",
+            "CLIPVisionEncode",
+            "CLIPVisionLoader",
+            "Canny",
+            "CheckpointLoader",
+            "CheckpointLoaderSimple",
+            "CheckpointSave",
+            "ConditioningAverage",
+            "ConditioningCombine",
+            "ConditioningConcat",
+            "ConditioningSetArea",
+            "ConditioningSetAreaPercentage",
+            "ConditioningSetAreaStrength",
+            "ConditioningSetMask",
+            "ConditioningSetTimestepRange",
+            "ConditioningZeroOut",
+            "ControlNetApply",
+            "ControlNetApplyAdvanced",
+            "ControlNetApplySD3",
+            "ControlNetLoader",
+            "CropMask",
+            "DiffControlNetLoader",
+            "DifferentialDiffusion",
+            "DiffusersLoader",
+            "DisableNoise",
+            "DualCFGGuider",
+            "DualCLIPLoader",
+            "EmptyImage",
+            "EmptyLatentAudio",
+            "EmptyLatentImage",
+            "EmptySD3LatentImage",
+            "ExponentialScheduler",
+            "FeatherMask",
+            "FlipSigmas",
+            "FluxGuidance",
+            "FreeU",
+            "FreeU_V2",
+            "GITSScheduler",
+            "GLIGENLoader",
+            "GLIGENTextBoxApply",
+            "GrowMask",
+            "HyperTile",
+            "HypernetworkLoader",
+            "ImageBatch",
+            "ImageBlend",
+            "ImageBlur",
+            "ImageColorToMask",
+            "ImageCompositeMasked",
+            "ImageCrop",
+            "ImageFromBatch",
+            "ImageInvert",
+            "ImageOnlyCheckpointLoader",
+            "ImageOnlyCheckpointSave",
+            "ImagePadForOutpaint",
+            "ImageQuantize",
+            "ImageScale",
+            "ImageScaleBy",
+            "ImageScaleToTotalPixels",
+            "ImageSharpen",
+            "ImageToMask",
+            "ImageUpscaleWithModel",
+            "InpaintModelConditioning",
+            "InstructPixToPixConditioning",
+            "InvertMask",
+            "JoinImageWithAlpha",
+            "KSampler",
+            "KSamplerAdvanced",
+            "KSamplerSelect",
+            "KarrasScheduler",
+            "LatentAdd",
+            "LatentBatch",
+            "LatentBatchSeedBehavior",
+            "LatentBlend",
+            "LatentComposite",
+            "LatentCompositeMasked",
+            "LatentCrop",
+            "LatentFlip",
+            "LatentFromBatch",
+            "LatentInterpolate",
+            "LatentMultiply",
+            "LatentRotate",
+            "LatentSubtract",
+            "LatentUpscale",
+            "LatentUpscaleBy",
+            "LoadAudio",
+            "LoadImage",
+            "LoadImageMask",
+            "LoadLatent",
+            "LoraLoader",
+            "LoraLoaderModelOnly",
+            "MaskComposite",
+            "MaskToImage",
+            "ModelMergeAdd",
+            "ModelMergeBlocks",
+            "ModelMergeFlux1",
+            "ModelMergeSD1",
+            "ModelMergeSD2",
+            "ModelMergeSD3_2B",
+            "ModelMergeSDXL",
+            "ModelMergeSimple",
+            "ModelMergeSubtract",
+            "ModelSamplingAuraFlow",
+            "ModelSamplingContinuousEDM",
+            "ModelSamplingContinuousV",
+            "ModelSamplingDiscrete",
+            "ModelSamplingFlux",
+            "ModelSamplingSD3",
+            "ModelSamplingStableCascade",
+            "ModelSave",
+            "Morphology",
+            "PatchModelAddDownscale",
+            "PerpNeg",
+            "PerpNegGuider",
+            "PerturbedAttentionGuidance",
+            "PhotoMakerEncode",
+            "PhotoMakerLoader",
+            "PolyexponentialScheduler",
+            "PorterDuffImageComposite",
+            "PreviewAudio",
+            "PreviewImage",
+            "RandomNoise",
+            "RebatchImages",
+            "RebatchLatents",
+            "RepeatImageBatch",
+            "RepeatLatentBatch",
+            "RescaleCFG",
+            "SDTurboScheduler",
+            "SD_4XUpscale_Conditioning",
+            "SV3D_Conditioning",
+            "SVD_img2vid_Conditioning",
+            "SamplerCustom",
+            "SamplerCustomAdvanced",
+            "SamplerDPMAdaptative",
+            "SamplerDPMPP_2M_SDE",
+            "SamplerDPMPP_2S_Ancestral",
+            "SamplerDPMPP_3M_SDE",
+            "SamplerDPMPP_SDE",
+            "SamplerEulerAncestral",
+            "SamplerEulerAncestralCFGPP",
+            "SamplerEulerCFGpp",
+            "SamplerLCMUpscale",
+            "SamplerLMS",
+            "SaveAnimatedPNG",
+            "SaveAnimatedWEBP",
+            "SaveAudio",
+            "SaveImage",
+            "SaveImageWebsocket",
+            "SaveLatent",
+            "SelfAttentionGuidance",
+            "SetLatentNoiseMask",
+            "SetUnionControlNetType",
+            "SolidMask",
+            "SplitImageWithAlpha",
+            "SplitSigmas",
+            "SplitSigmasDenoise",
+            "StableCascade_EmptyLatentImage",
+            "StableCascade_StageB_Conditioning",
+            "StableCascade_StageC_VAEEncode",
+            "StableCascade_SuperResolutionControlnet",
+            "StableZero123_Conditioning",
+            "StableZero123_Conditioning_Batched",
+            "StubConstantImage",
+            "StubFloat",
+            "StubImage",
+            "StubInt",
+            "StubMask",
+            "StyleModelApply",
+            "StyleModelLoader",
+            "TestAccumulateNode",
+            "TestAccumulationGetItemNode",
+            "TestAccumulationGetLengthNode",
+            "TestAccumulationHeadNode",
+            "TestAccumulationSetItemNode",
+            "TestAccumulationTailNode",
+            "TestAccumulationToListNode",
+            "TestBoolOperationNode",
+            "TestCustomIsChanged",
+            "TestCustomValidation1",
+            "TestCustomValidation2",
+            "TestCustomValidation3",
+            "TestCustomValidation4",
+            "TestCustomValidation5",
+            "TestDynamicDependencyCycle",
+            "TestExecutionBlocker",
+            "TestFloatConditions",
+            "TestForLoopClose",
+            "TestForLoopOpen",
+            "TestIntConditions",
+            "TestIntMathOperation",
+            "TestIsChangedWithConstants",
+            "TestLazyMixImages",
+            "TestListToAccumulationNode",
+            "TestMakeListNode",
+            "TestMixedExpansionReturns",
+            "TestStringConditions",
+            "TestToBoolNode",
+            "TestVariadicAverage",
+            "TestWhileLoopClose",
+            "TestWhileLoopOpen",
+            "ThresholdMask",
+            "TomePatchModel",
+            "TripleCLIPLoader",
+            "UNETLoader",
+            "UNetCrossAttentionMultiply",
+            "UNetSelfAttentionMultiply",
+            "UNetTemporalAttentionMultiply",
+            "UpscaleModelLoader",
+            "VAEDecode",
+            "VAEDecodeAudio",
+            "VAEDecodeTiled",
+            "VAEEncode",
+            "VAEEncodeAudio",
+            "VAEEncodeForInpaint",
+            "VAEEncodeTiled",
+            "VAELoader",
+            "VAESave",
+            "VPScheduler",
+            "VideoLinearCFGGuidance",
+            "VideoTriangleCFGGuidance",
+            "WebcamCapture",
+            "unCLIPCheckpointLoader",
+            "unCLIPConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI_TensorRT": [
+        [
+            "DYNAMIC_TRT_MODEL_CONVERSION",
+            "STATIC_TRT_MODEL_CONVERSION",
+            "TensorRTLoader"
+        ],
+        {
+            "title_aux": "TensorRT Node for ComfyUI"
+        }
+    ],
+    "https://github.com/comfyanonymous/ComfyUI_experiments": [
+        [
+            "ModelMergeBlockNumber",
+            "ModelMergeSDXL",
+            "ModelMergeSDXLDetailedTransformers",
+            "ModelMergeSDXLTransformers",
+            "ModelSamplerTonemapNoiseTest",
+            "ReferenceOnlySimple",
+            "RescaleClassifierFreeGuidanceTest",
+            "TonemapNoiseWithRescaleCFG"
+        ],
+        {
+            "title_aux": "ComfyUI_experiments"
+        }
+    ],
+    "https://github.com/concarne000/ConCarneNode": [
+        [
+            "BingImageGrabber",
+            "Hermes",
+            "Zephyr"
+        ],
+        {
+            "title_aux": "ConCarneNode"
+        }
+    ],
+    "https://github.com/conquestace/ComfyUI-ImageUploader": [
+        [
+            "ImageUploader"
+        ],
+        {
+            "author": "ConquestAce",
+            "description": "Upload to temporary websites with API.",
+            "nickname": "Image Uploader",
+            "title": "Image Uploader",
+            "title_aux": "Image Uploader"
+        }
+    ],
+    "https://github.com/coreyryanhanson/ComfyQR": [
+        [
+            "comfy-qr-by-image-size",
+            "comfy-qr-by-module-size",
+            "comfy-qr-by-module-split",
+            "comfy-qr-mask_errors"
+        ],
+        {
+            "title_aux": "ComfyQR"
+        }
+    ],
+    "https://github.com/coreyryanhanson/ComfyQR-scanning-nodes": [
+        [
+            "comfy-qr-read",
+            "comfy-qr-validate"
+        ],
+        {
+            "title_aux": "ComfyQR-scanning-nodes"
+        }
+    ],
+    "https://github.com/cozy-comfyui/cozy_comm": [
+        [
+            "CozyDiscordPost"
+        ],
+        {
+            "nodename_pattern": " \\(cozy\\)",
+            "title_aux": "Cozy Communication"
+        }
+    ],
+    "https://github.com/cozymantis/cozy-utils-comfyui-nodes": [
+        [
+            "Cozy Sampler Options"
+        ],
+        {
+            "title_aux": "Cozy Utils"
+        }
+    ],
+    "https://github.com/cozymantis/human-parser-comfyui-node": [
+        [
+            "Cozy Human Parser ATR",
+            "Cozy Human Parser LIP",
+            "Cozy Human Parser Pascal"
+        ],
+        {
+            "title_aux": "Cozy Human Parser"
+        }
+    ],
+    "https://github.com/cozymantis/pose-generator-comfyui-node": [
+        [
+            "Cozy Pose Body Reference",
+            "Cozy Pose Face Reference"
+        ],
+        {
+            "title_aux": "Cozy Reference Pose Generator"
+        }
+    ],
+    "https://github.com/crystian/ComfyUI-Crystools": [
+        [],
+        {
+            "author": "Crystian",
+            "description": "Plugins for multiples uses, mainly for debugging, you need them! IG: https://www.instagram.com/crystian.ia",
+            "nickname": "Crystools",
+            "nodename_pattern": " \\[Crystools\\]$",
+            "title": "Crystools",
+            "title_aux": "Crystools"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_FaceAnalysis": [
+        [
+            "FaceAlign",
+            "FaceAnalysisModels",
+            "FaceBoundingBox",
+            "FaceEmbedDistance",
+            "FaceSegmentation",
+            "FaceWarp"
+        ],
+        {
+            "title_aux": "Face Analysis for ComfyUI"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_IPAdapter_plus": [
+        [
+            "IPAAdapterFaceIDBatch",
+            "IPAdapter",
+            "IPAdapterAdvanced",
+            "IPAdapterBatch",
+            "IPAdapterClipVisionEnhancer",
+            "IPAdapterClipVisionEnhancerBatch",
+            "IPAdapterCombineEmbeds",
+            "IPAdapterCombineParams",
+            "IPAdapterCombineWeights",
+            "IPAdapterEmbeds",
+            "IPAdapterEmbedsBatch",
+            "IPAdapterEncoder",
+            "IPAdapterFaceID",
+            "IPAdapterFaceIDKolors",
+            "IPAdapterFromParams",
+            "IPAdapterInsightFaceLoader",
+            "IPAdapterLoadEmbeds",
+            "IPAdapterMS",
+            "IPAdapterModelLoader",
+            "IPAdapterNoise",
+            "IPAdapterPreciseComposition",
+            "IPAdapterPreciseCompositionBatch",
+            "IPAdapterPreciseStyleTransfer",
+            "IPAdapterPreciseStyleTransferBatch",
+            "IPAdapterPromptScheduleFromWeightsStrategy",
+            "IPAdapterRegionalConditioning",
+            "IPAdapterSaveEmbeds",
+            "IPAdapterStyleComposition",
+            "IPAdapterStyleCompositionBatch",
+            "IPAdapterTiled",
+            "IPAdapterTiledBatch",
+            "IPAdapterUnifiedLoader",
+            "IPAdapterUnifiedLoaderCommunity",
+            "IPAdapterUnifiedLoaderFaceID",
+            "IPAdapterWeights",
+            "IPAdapterWeightsFromStrategy",
+            "PrepImageForClipVision"
+        ],
+        {
+            "preemptions": [
+                "IPAAdapterFaceIDBatch",
+                "IPAdapter",
+                "IPAdapterAdvanced",
+                "IPAdapterBatch",
+                "IPAdapterClipVisionEnhancer",
+                "IPAdapterClipVisionEnhancerBatch",
+                "IPAdapterCombineEmbeds",
+                "IPAdapterCombineParams",
+                "IPAdapterCombineWeights",
+                "IPAdapterEmbeds",
+                "IPAdapterEmbedsBatch",
+                "IPAdapterEncoder",
+                "IPAdapterFaceID",
+                "IPAdapterFromParams",
+                "IPAdapterInsightFaceLoader",
+                "IPAdapterLoadEmbeds",
+                "IPAdapterMS",
+                "IPAdapterModelLoader",
+                "IPAdapterNoise",
+                "IPAdapterPreciseComposition",
+                "IPAdapterPreciseCompositionBatch",
+                "IPAdapterPreciseStyleTransfer",
+                "IPAdapterPreciseStyleTransferBatch",
+                "IPAdapterPromptScheduleFromWeightsStrategy",
+                "IPAdapterRegionalConditioning",
+                "IPAdapterSaveEmbeds",
+                "IPAdapterStyleComposition",
+                "IPAdapterStyleCompositionBatch",
+                "IPAdapterTiled",
+                "IPAdapterTiledBatch",
+                "IPAdapterUnifiedLoader",
+                "IPAdapterUnifiedLoaderCommunity",
+                "IPAdapterUnifiedLoaderFaceID",
+                "IPAdapterWeights",
+                "IPAdapterWeightsFromStrategy",
+                "PrepImageForClipVision"
+            ],
+            "title_aux": "ComfyUI_IPAdapter_plus"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_InstantID": [
+        [
+            "ApplyInstantID",
+            "ApplyInstantIDAdvanced",
+            "ApplyInstantIDControlNet",
+            "FaceKeypointsPreprocessor",
+            "InstantIDAttentionPatch",
+            "InstantIDFaceAnalysis",
+            "InstantIDModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI InstantID (Native Support)"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_SimpleMath": [
+        [
+            "SimpleMath",
+            "SimpleMathDebug"
+        ],
+        {
+            "title_aux": "Simple Math"
+        }
+    ],
+    "https://github.com/cubiq/ComfyUI_essentials": [
+        [
+            "ApplyCLIPSeg+",
+            "BatchCount+",
+            "CLIPTextEncodeSDXL+",
+            "ConditioningCombineMultiple+",
+            "ConsoleDebug+",
+            "DebugTensorShape+",
+            "DrawText+",
+            "ExtractKeyframes+",
+            "FluxSamplerParams+",
+            "GetImageSize+",
+            "ImageApplyLUT+",
+            "ImageBatchMultiple+",
+            "ImageBatchToList+",
+            "ImageCASharpening+",
+            "ImageColorMatch+",
+            "ImageColorMatchAdobe+",
+            "ImageComposite+",
+            "ImageCompositeFromMaskBatch+",
+            "ImageCrop+",
+            "ImageDesaturate+",
+            "ImageEnhanceDifference+",
+            "ImageExpandBatch+",
+            "ImageFlip+",
+            "ImageFromBatch+",
+            "ImageHistogramMatch+",
+            "ImageListToBatch+",
+            "ImagePosterize+",
+            "ImagePreviewFromLatent+",
+            "ImageRandomTransform+",
+            "ImageRemoveAlpha+",
+            "ImageRemoveBackground+",
+            "ImageResize+",
+            "ImageSeamCarving+",
+            "ImageSmartSharpen+",
+            "ImageTile+",
+            "ImageToDevice+",
+            "ImageUntile+",
+            "InjectLatentNoise+",
+            "KSamplerVariationsStochastic+",
+            "KSamplerVariationsWithNoise+",
+            "LoadCLIPSegModels+",
+            "LorasForFluxParams+",
+            "MaskBatch+",
+            "MaskBlur+",
+            "MaskBoundingBox+",
+            "MaskExpandBatch+",
+            "MaskFix+",
+            "MaskFlip+",
+            "MaskFromBatch+",
+            "MaskFromColor+",
+            "MaskFromList+",
+            "MaskFromRGBCMYBW+",
+            "MaskFromSegmentation+",
+            "MaskPreview+",
+            "MaskSmooth+",
+            "ModelCompile+",
+            "NoiseFromImage+",
+            "PixelOEPixelize+",
+            "PlotParameters+",
+            "RemBGSession+",
+            "RemoveLatentMask+",
+            "SD3NegativeConditioning+",
+            "SDXLEmptyLatentSizePicker+",
+            "SamplerSelectHelper+",
+            "SchedulerSelectHelper+",
+            "SimpleComparison+",
+            "SimpleCondition+",
+            "SimpleMath+",
+            "SimpleMathBoolean+",
+            "SimpleMathCondition+",
+            "SimpleMathDual+",
+            "SimpleMathFloat+",
+            "SimpleMathInt+",
+            "SimpleMathPercent+",
+            "SimpleMathSlider+",
+            "SimpleMathSliderLowRes+",
+            "TextEncodeForSamplerParams+",
+            "TransitionMask+",
+            "TransparentBGSession+"
+        ],
+        {
+            "title_aux": "ComfyUI Essentials"
+        }
+    ],
+    "https://github.com/cubiq/PuLID_ComfyUI": [
+        [
+            "ApplyPulid",
+            "ApplyPulidAdvanced",
+            "PulidEvaClipLoader",
+            "PulidInsightFaceLoader",
+            "PulidModelLoader"
+        ],
+        {
+            "title_aux": "PuLID_ComfyUI"
+        }
+    ],
+    "https://github.com/cuongloveit/comfy_http_request": [
+        [
+            "Send Http Request",
+            "Send Http request"
+        ],
+        {
+            "title_aux": "comfy_http_request"
+        }
+    ],
+    "https://github.com/curiousjp/ComfyUI-MaskBatchPermutations": [
+        [
+            "CombinatorialDetailer",
+            "FlattenAgainstOriginal",
+            "PermuteMaskBatch"
+        ],
+        {
+            "title_aux": "ComfyUI-MaskBatchPermutations"
+        }
+    ],
+    "https://github.com/czcz1024/Comfyui-FaceCompare": [
+        [
+            "FaceCompare"
+        ],
+        {
+            "author": "czcz1024",
+            "description": "Face Compare",
+            "nickname": "Face Compare",
+            "title": "Face Compare",
+            "title_aux": "Face Compare"
+        }
+    ],
+    "https://github.com/da2el-ai/ComfyUI-d2-send-eagle": [
+        [
+            "D2 Send Eagle"
+        ],
+        {
+            "author": "da2el",
+            "description": "Send images to Eagle, an image management application",
+            "title": "D2 Send Eagle",
+            "title_aux": "D2 Send Eagle"
+        }
+    ],
+    "https://github.com/da2el-ai/ComfyUI-d2-size-selector": [
+        [
+            "D2_SizeSelector"
+        ],
+        {
+            "author": "da2el",
+            "description": "Easy select image size",
+            "title": "D2 Size Selector",
+            "title_aux": "D2 Size Selector"
+        }
+    ],
+    "https://github.com/da2el-ai/ComfyUI-d2-steps": [
+        [
+            "D2 Refiner Steps",
+            "D2 Refiner Steps A1111",
+            "D2 Refiner Steps Tester"
+        ],
+        {
+            "author": "da2el",
+            "description": "Calculate the steps for the refiner",
+            "title": "D2 Steps",
+            "title_aux": "D2 Steps"
+        }
+    ],
+    "https://github.com/dadoirie/ComfyUI_Dados_Nodes": [
+        [
+            "PinterestImageNode"
+        ],
+        {
+            "title_aux": "ComfyUI_Dados_Nodes"
+        }
+    ],
+    "https://github.com/dagthomas/comfyui_dagthomas": [
+        [
+            "APNLatent",
+            "ApplyBloom",
+            "CFGSkimming",
+            "CustomPromptLoader",
+            "DynamicStringCombinerNode",
+            "FileReaderNode",
+            "FlexibleStringMergerNode",
+            "GPT4MiniNode",
+            "GPT4VisionNode",
+            "Gpt4CustomVision",
+            "Gpt4VisionCloner",
+            "MedianOppositeColorNode",
+            "OllamaNode",
+            "OllamaVisionNode",
+            "PGSD3LatentGenerator",
+            "PhiCustomModelInference",
+            "PhiModelInference",
+            "PhiModelLoader",
+            "ProminentOppositeColorNode",
+            "PromptGenerator",
+            "RandomIntegerNode",
+            "SentenceMixerNode",
+            "StringMergerNode"
+        ],
+        {
+            "title_aux": "SDXL Auto Prompter"
+        }
+    ],
+    "https://github.com/daniabib/ComfyUI_ProPainter_Nodes": [
+        [
+            "ProPainterInpaint",
+            "ProPainterOutpaint"
+        ],
+        {
+            "title_aux": "ComfyUI ProPainter Nodes"
+        }
+    ],
+    "https://github.com/daniel-lewis-ab/ComfyUI-Llama": [
+        [
+            "Call LLM Advanced",
+            "Call LLM Basic",
+            "LLM_Create_Completion Advanced",
+            "LLM_Detokenize",
+            "LLM_Embed",
+            "LLM_Eval",
+            "LLM_Load_State",
+            "LLM_Reset",
+            "LLM_Sample",
+            "LLM_Save_State",
+            "LLM_Token_BOS",
+            "LLM_Token_EOS",
+            "LLM_Tokenize",
+            "Load LLM Model Advanced",
+            "Load LLM Model Basic"
+        ],
+        {
+            "title_aux": "ComfyUI-Llama"
+        }
+    ],
+    "https://github.com/daniel-lewis-ab/ComfyUI-TTS": [
+        [
+            "Load_Piper_Model",
+            "Piper_Speak_Text"
+        ],
+        {
+            "title_aux": "ComfyUI-TTS"
+        }
+    ],
+    "https://github.com/darkpixel/darkprompts": [
+        [
+            "DarkCheckpointRandomizer",
+            "DarkCheckpointSwitcher",
+            "DarkCombine",
+            "DarkFaceIndexGenerator",
+            "DarkFaceIndexShuffle",
+            "DarkFolders",
+            "DarkLoRALoader",
+            "DarkPrompt"
+        ],
+        {
+            "title_aux": "DarkPrompts"
+        }
+    ],
+    "https://github.com/daryltucker/ComfyUI-LoadFiles": [
+        [
+            "CountLines",
+            "ListFilenames",
+            "LoadImages"
+        ],
+        {
+            "title_aux": "ComfyUI-LoadFiles"
+        }
+    ],
+    "https://github.com/dave-palt/comfyui_DSP_imagehelpers": [
+        [
+            "dsp-imagehelpers-concat"
+        ],
+        {
+            "title_aux": "comfyui_DSP_imagehelpers"
+        }
+    ],
+    "https://github.com/dawangraoming/ComfyUI_ksampler_gpu/raw/main/ksampler_gpu.py": [
+        [
+            "KSamplerAdvancedGPU",
+            "KSamplerGPU"
+        ],
+        {
+            "title_aux": "KSampler GPU"
+        }
+    ],
+    "https://github.com/daxcay/ComfyUI-DataSet": [
+        [
+            "DataSet_ConceptManager",
+            "DataSet_CopyFiles",
+            "DataSet_FindAndReplace",
+            "DataSet_LoadImage",
+            "DataSet_OpenAIChat",
+            "DataSet_OpenAIChatImage",
+            "DataSet_OpenAIChatImageBatch",
+            "DataSet_PathSelector",
+            "DataSet_SaveImage",
+            "DataSet_TextFilesLoad",
+            "DataSet_TextFilesLoadFromList",
+            "DataSet_TextFilesSave",
+            "DataSet_TriggerWords",
+            "DataSet_Visualizer"
+        ],
+        {
+            "author": "Daxton Caylor",
+            "description": "Data Research, Preparation, and Manipulation Nodes for Model Trainers, Artists, Designers, and Animators.",
+            "nickname": "ComfyUI-DataSet",
+            "title": "ComfyUI-DataSet",
+            "title_aux": "ComfyUI-DataSet"
+        }
+    ],
+    "https://github.com/daxcay/ComfyUI-JDCN": [
+        [
+            "JDCN_AnyCheckpointLoader",
+            "JDCN_AnyFileList",
+            "JDCN_AnyFileListHelper",
+            "JDCN_AnyFileListRandom",
+            "JDCN_AnyFileSelector",
+            "JDCN_BatchCounter",
+            "JDCN_BatchCounterAdvance",
+            "JDCN_BatchImageLoadFromDir",
+            "JDCN_BatchImageLoadFromList",
+            "JDCN_BatchLatentLoadFromDir",
+            "JDCN_BatchLatentLoadFromList",
+            "JDCN_BatchSaveLatent",
+            "JDCN_BoolInt",
+            "JDCN_EnableDisable",
+            "JDCN_FileMover",
+            "JDCN_ImageSaver",
+            "JDCN_ListToString",
+            "JDCN_ReBatch",
+            "JDCN_SeamlessExperience",
+            "JDCN_ShowAny",
+            "JDCN_SplitString",
+            "JDCN_StringManipulator",
+            "JDCN_StringToList",
+            "JDCN_SwapInputs",
+            "JDCN_TXTFileSaver",
+            "JDCN_VHSFileMover"
+        ],
+        {
+            "author": "Daxton Caylor & Jerry Davos",
+            "description": "Custom Utility Nodes for Artists, Designers and Animators.",
+            "nickname": "ComfyUI-JDCN",
+            "title": "ComfyUI-JDCN",
+            "title_aux": "ComfyUI-JDCN"
+        }
+    ],
+    "https://github.com/daxthin/DZ-FaceDetailer": [
+        [
+            "DZ_Face_Detailer"
+        ],
+        {
+            "title_aux": "DZ-FaceDetailer"
+        }
+    ],
+    "https://github.com/dchatel/comfyui_davcha": [
+        [
+            "ConditioningCompress",
+            "DStack",
+            "DavchaCLIPMergeSimple",
+            "DavchaConditioningConcat",
+            "DavchaModelMergeSD1",
+            "DavchaModelMergeSDXL",
+            "DavchaModelMergeSimple",
+            "PercentPadding",
+            "ResizeCropFit",
+            "SmartMask",
+            "SoftErosion",
+            "StringScheduleHelper"
+        ],
+        {
+            "title_aux": "comfyui_davcha"
+        }
+    ],
+    "https://github.com/dchatel/comfyui_facetools": [
+        [
+            "BiSeNetMask",
+            "CropFaces",
+            "DetectFaces",
+            "GenderFaceFilter",
+            "JonathandinuMask",
+            "MergeWarps",
+            "OrderedFaceFilter",
+            "WarpFacesBack"
+        ],
+        {
+            "title_aux": "comfyui_facetools"
+        }
+    ],
+    "https://github.com/denfrost/Den_ComfyUI_Workflow": [
+        [
+            "Den_BatchIndex_AS",
+            "Den_CropImage_AS",
+            "Den_Eval_AS",
+            "Den_FaceRestoreCFWithModel",
+            "Den_GPTLoaderSimple_llama",
+            "Den_GPTSampler_llama",
+            "Den_ImageMixMasked_As",
+            "Den_ImageToLatentSpace",
+            "Den_ImageToMask_AS",
+            "Den_Int2Any_AS",
+            "Den_LatentAdd_AS",
+            "Den_LatentMixMasked_As",
+            "Den_LatentMix_AS",
+            "Den_LatentToImages_AS",
+            "Den_LoadLatent_AS",
+            "Den_MapRange_AS",
+            "Den_MaskToImage_AS",
+            "Den_Math_AS",
+            "Den_NoiseImage_AS",
+            "Den_Number2Float_AS",
+            "Den_Number2Int_AS",
+            "Den_Number_AS",
+            "Den_SVD_img2vid",
+            "Den_SaveLatent_AS",
+            "Den_TextToImage_AS",
+            "Den_TextWildcardList_AS",
+            "Increment_AS"
+        ],
+        {
+            "title_aux": "Den_ComfyUI_Workflows"
+        }
+    ],
+    "https://github.com/deroberon/StableZero123-comfyui": [
+        [
+            "SDZero ImageSplit",
+            "Stablezero123",
+            "Stablezero123WithDepth"
+        ],
+        {
+            "title_aux": "StableZero123-comfyui"
+        }
+    ],
+    "https://github.com/deroberon/demofusion-comfyui": [
+        [
+            "Batch Unsampler",
+            "Demofusion",
+            "Demofusion From Single File",
+            "Iterative Mixing KSampler"
+        ],
+        {
+            "title_aux": "demofusion-comfyui"
+        }
+    ],
+    "https://github.com/dfl/comfyui-clip-with-break": [
+        [
+            "AdvancedCLIPTextEncodeWithBreak",
+            "CLIPTextEncodeWithBreak"
+        ],
+        {
+            "author": "dfl",
+            "description": "CLIP text encoder that does BREAK prompting like A1111",
+            "nickname": "CLIP with BREAK",
+            "title": "CLIP with BREAK syntax",
+            "title_aux": "CLIP with BREAK syntax"
+        }
+    ],
+    "https://github.com/dfl/comfyui-tcd-scheduler": [
+        [
+            "SamplerTCD",
+            "SamplerTCD EulerA",
+            "TCDScheduler"
+        ],
+        {
+            "title_aux": "ComfyUI-TCD-scheduler"
+        }
+    ],
+    "https://github.com/diStyApps/ComfyUI_FrameMaker": [
+        [
+            "FrameMaker",
+            "FrameMakerBatch"
+        ],
+        {
+            "title_aux": "ComfyUI Frame Maker"
+        }
+    ],
+    "https://github.com/dicksondickson/ComfyUI-Dickson-Nodes": [
+        [
+            "DicksonColorMatch",
+            "DicksonLoadImage",
+            "TTPlanet_Tile_Preprocessor_GF",
+            "TTPlanet_Tile_Preprocessor_Simple",
+            "TTPlanet_Tile_Preprocessor_cufoff"
+        ],
+        {
+            "description": "This is a set of custom nodes that I've either written myself or adapted from other authors for my own convenience. Currently includes color matching node forked from StableSR and TTPlanet's controlnet preprocessor. https://github.com/dicksondickson",
+            "nickname": "Dickson Nodes",
+            "title": "Dickson Nodes",
+            "title_aux": "ComfyUI-Dickson-Nodes"
+        }
+    ],
+    "https://github.com/digitaljohn/comfyui-propost": [
+        [
+            "ProPostApplyLUT",
+            "ProPostDepthMapBlur",
+            "ProPostFilmGrain",
+            "ProPostRadialBlur",
+            "ProPostVignette"
+        ],
+        {
+            "title_aux": "ComfyUI-ProPost"
+        }
+    ],
+    "https://github.com/dimtoneff/ComfyUI-PixelArt-Detector": [
+        [
+            "PixelArtAddDitherPattern",
+            "PixelArtDetectorConverter",
+            "PixelArtDetectorSave",
+            "PixelArtDetectorToImage",
+            "PixelArtLoadPalettes"
+        ],
+        {
+            "title_aux": "ComfyUI PixelArt Detector"
+        }
+    ],
+    "https://github.com/diontimmer/ComfyUI-Vextra-Nodes": [
+        [
+            "Add Text To Image",
+            "Apply Instagram Filter",
+            "Create Solid Color",
+            "Flatten Colors",
+            "Generate Noise Image",
+            "GlitchThis Effect",
+            "Hue Rotation",
+            "Load Picture Index",
+            "Pixel Sort",
+            "Play Sound At Execution",
+            "Prettify Prompt Using distilgpt2",
+            "Swap Color Mode"
+        ],
+        {
+            "title_aux": "ComfyUI-Vextra-Nodes"
+        }
+    ],
+    "https://github.com/discopixel-studio/comfyui-discopixel": [
+        [
+            "TransformTemplateOntoFaceMask"
+        ],
+        {
+            "author": "Anson Kao",
+            "description": "A small collection of custom nodes for use with ComfyUI, by Discopixel",
+            "nickname": "ComfyUI Discopixel",
+            "title": "ComfyUI Discopixel",
+            "title_aux": "ComfyUI Discopixel Nodes"
+        }
+    ],
+    "https://github.com/discus0434/comfyui-caching-embeddings": [
+        [
+            "CachingCLIPTextEncode"
+        ],
+        {
+            "title_aux": "ComfyUI Caching Embeddings"
+        }
+    ],
+    "https://github.com/djbielejeski/a-person-mask-generator": [
+        [
+            "APersonFaceLandmarkMaskGenerator",
+            "APersonMaskGenerator"
+        ],
+        {
+            "title_aux": "a-person-mask-generator"
+        }
+    ],
+    "https://github.com/dmMaze/sketch2manga": [
+        [
+            "BlendScreentone",
+            "EmptyLatentImageAdvanced"
+        ],
+        {
+            "title_aux": "Sketch2Manga"
+        }
+    ],
+    "https://github.com/dmarx/ComfyUI-AudioReactive": [
+        [
+            "OpAbs",
+            "OpBandpass",
+            "OpClamp",
+            "OpHarmonic",
+            "OpModulo",
+            "OpNormalize",
+            "OpNovelty",
+            "OpPercussive",
+            "OpPow",
+            "OpPow2",
+            "OpPredominant_pulse",
+            "OpQuantize",
+            "OpRms",
+            "OpSmoosh",
+            "OpSmooth",
+            "OpSqrt",
+            "OpStretch",
+            "OpSustain",
+            "OpThreshold"
+        ],
+        {
+            "title_aux": "ComfyUI-AudioReactive"
+        }
+    ],
+    "https://github.com/dmarx/ComfyUI-Keyframed": [
+        [
+            "Example",
+            "KfAddCurveToPGroup",
+            "KfAddCurveToPGroupx10",
+            "KfApplyCurveToCond",
+            "KfConditioningAdd",
+            "KfConditioningAddx10",
+            "KfCurveConstant",
+            "KfCurveDraw",
+            "KfCurveFromString",
+            "KfCurveFromYAML",
+            "KfCurveInverse",
+            "KfCurveToAcnLatentKeyframe",
+            "KfCurvesAdd",
+            "KfCurvesAddx10",
+            "KfCurvesDivide",
+            "KfCurvesMultiply",
+            "KfCurvesMultiplyx10",
+            "KfCurvesSubtract",
+            "KfDebug_Clip",
+            "KfDebug_Cond",
+            "KfDebug_Curve",
+            "KfDebug_Float",
+            "KfDebug_Image",
+            "KfDebug_Int",
+            "KfDebug_Latent",
+            "KfDebug_Model",
+            "KfDebug_Passthrough",
+            "KfDebug_Segs",
+            "KfDebug_String",
+            "KfDebug_Vae",
+            "KfDrawSchedule",
+            "KfEvaluateCurveAtT",
+            "KfGetCurveFromPGroup",
+            "KfGetScheduleConditionAtTime",
+            "KfGetScheduleConditionSlice",
+            "KfKeyframedCondition",
+            "KfKeyframedConditionWithText",
+            "KfPGroupCurveAdd",
+            "KfPGroupCurveMultiply",
+            "KfPGroupDraw",
+            "KfPGroupProd",
+            "KfPGroupSum",
+            "KfSetCurveLabel",
+            "KfSetKeyframe",
+            "KfSinusoidalAdjustAmplitude",
+            "KfSinusoidalAdjustFrequency",
+            "KfSinusoidalAdjustPhase",
+            "KfSinusoidalAdjustWavelength",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx2",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx3",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx4",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx5",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx6",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx7",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx8",
+            "KfSinusoidalEntangledZeroOneFromFrequencyx9",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx2",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx3",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx4",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx5",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx6",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx7",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx8",
+            "KfSinusoidalEntangledZeroOneFromWavelengthx9",
+            "KfSinusoidalGetAmplitude",
+            "KfSinusoidalGetFrequency",
+            "KfSinusoidalGetPhase",
+            "KfSinusoidalGetWavelength",
+            "KfSinusoidalWithFrequency",
+            "KfSinusoidalWithWavelength"
+        ],
+        {
+            "title_aux": "ComfyUI-Keyframed"
+        }
+    ],
+    "https://github.com/doomy23/ComfyUI-D00MYsNodes": [
+        [
+            "Images_Converter|D00MYs",
+            "JSPaint|D00MYs",
+            "Load_Images_From_Paths|D00MYs",
+            "Random_Images|D00MYs",
+            "Save_Images|D00MYs",
+            "Save_Text|D00MYs",
+            "Show_Text|D00MYs",
+            "Strings_From_List|D00MYs"
+        ],
+        {
+            "title_aux": "ComfyUI-D00MYsNodes"
+        }
+    ],
+    "https://github.com/drago87/ComfyUI_Dragos_Nodes": [
+        [
+            "file_padding",
+            "image_info",
+            "lora_loader",
+            "vae_loader"
+        ],
+        {
+            "title_aux": "ComfyUI_Dragos_Nodes"
+        }
+    ],
+    "https://github.com/drmbt/comfyui-dreambait-nodes": [
+        [
+            "DRMBT_AspectPadImageForOutpainting",
+            "DRMBT_LoadMedia",
+            "DRMBT_Model_Context_Selector",
+            "DRMBT_MultiMinMax",
+            "DRMBT_String_Item_Menu"
+        ],
+        {
+            "title_aux": "comfyui-dreambait-nodes"
+        }
+    ],
+    "https://github.com/drustan-hawk/primitive-types": [
+        [
+            "float",
+            "int",
+            "string",
+            "string_multiline"
+        ],
+        {
+            "title_aux": "primitive-types"
+        }
+    ],
+    "https://github.com/ducido/ObjectFusion_ComfyUI_nodes": [
+        [
+            "Custom ESAM_ModelLoader_Zho",
+            "Custom Generate Stable Diffsution Prompt With LLM",
+            "Custom Yoloworld_ESAM_Zho",
+            "Custom Yoloworld_ModelLoader_Zho",
+            "ObjectCrop"
+        ],
+        {
+            "title_aux": "ObjectFusion_ComfyUI_nodes"
+        }
+    ],
+    "https://github.com/e7mac/ComfyUI-ShadertoyGL": [
+        [
+            "ColorChannelOffset",
+            "Shader",
+            "Shadertoy"
+        ],
+        {
+            "title_aux": "ComfyUI-ShadertoyGL"
+        }
+    ],
+    "https://github.com/ealkanat/comfyui_easy_padding": [
+        [
+            "comfyui-easy-padding"
+        ],
+        {
+            "title_aux": "ComfyUI Easy Padding"
+        }
+    ],
+    "https://github.com/eastoc/ComfyUI_SemanticSAM": [
+        [
+            "PointPrompt",
+            "SemanticSAMLoader",
+            "SemanticSAMSegment"
+        ],
+        {
+            "title_aux": "Semantic-SAM"
+        }
+    ],
+    "https://github.com/edenartlab/eden_comfy_pipelines": [
+        [
+            "Animation_RGB_Mask",
+            "AspectPadImageForOutpainting",
+            "CLIP_Interrogator",
+            "ConvertToGrayscale",
+            "DepthSlicer",
+            "Eden_Bool",
+            "Eden_Compare",
+            "Eden_DebugPrint",
+            "Eden_Float",
+            "Eden_IMG_padder",
+            "Eden_IMG_unpadder",
+            "Eden_Int",
+            "Eden_String",
+            "Eden_gpt4_node",
+            "FolderScanner",
+            "GetRandomFile",
+            "Get_Prefixed_Imgs",
+            "HistogramMatching",
+            "IMG_blender",
+            "IMG_resolution_multiple_of",
+            "IMG_scaler",
+            "If ANY execute A else B",
+            "ImageDescriptionNode",
+            "LatentTypeConversion",
+            "Linear_Combine_IP_Embeds",
+            "LoadImagesByFilename",
+            "LoadRandomImage",
+            "Load_Embeddings_From_Folder",
+            "MaskFromRGB",
+            "MaskFromRGB_KMeans",
+            "ParallaxZoom",
+            "Random_Style_Mixture",
+            "SaveImageAdvanced",
+            "SavePosEmbeds",
+            "VAEDecode_to_folder",
+            "VideoFrameSelector",
+            "WidthHeightPicker"
+        ],
+        {
+            "title_aux": "Eden.art nodesuite"
+        }
+    ],
+    "https://github.com/edenartlab/sd-lora-trainer": [
+        [
+            "Eden_LoRa_trainer"
+        ],
+        {
+            "title_aux": "Eden.art LoRa Trainer"
+        }
+    ],
+    "https://github.com/emojiiii/ComfyUI_Emojiiii_Custom_Nodes": [
+        [
+            "BatchImageProcessor",
+            "Caption",
+            "CaptionDownload",
+            "KolorsMultiTextEncode",
+            "MultiTextEncode"
+        ],
+        {
+            "title_aux": "ComfyUI_Emojiiii_Custom_Nodes"
+        }
+    ],
+    "https://github.com/erosDiffusion/ComfyUI-enricos-nodes": [
+        [
+            "Compositor",
+            "EnricosCompositor"
+        ],
+        {
+            "title_aux": "Compositor Node"
+        }
+    ],
+    "https://github.com/evanspearman/ComfyMath": [
+        [
+            "CM_BoolBinaryOperation",
+            "CM_BoolToInt",
+            "CM_BoolUnaryOperation",
+            "CM_BreakoutVec2",
+            "CM_BreakoutVec3",
+            "CM_BreakoutVec4",
+            "CM_ComposeVec2",
+            "CM_ComposeVec3",
+            "CM_ComposeVec4",
+            "CM_FloatBinaryCondition",
+            "CM_FloatBinaryOperation",
+            "CM_FloatToInt",
+            "CM_FloatToNumber",
+            "CM_FloatUnaryCondition",
+            "CM_FloatUnaryOperation",
+            "CM_IntBinaryCondition",
+            "CM_IntBinaryOperation",
+            "CM_IntToBool",
+            "CM_IntToFloat",
+            "CM_IntToNumber",
+            "CM_IntUnaryCondition",
+            "CM_IntUnaryOperation",
+            "CM_NearestSDXLExtendedResolution",
+            "CM_NearestSDXLResolution",
+            "CM_NumberBinaryCondition",
+            "CM_NumberBinaryOperation",
+            "CM_NumberToFloat",
+            "CM_NumberToInt",
+            "CM_NumberUnaryCondition",
+            "CM_NumberUnaryOperation",
+            "CM_SDXLExtendedResolution",
+            "CM_SDXLResolution",
+            "CM_Vec2BinaryCondition",
+            "CM_Vec2BinaryOperation",
+            "CM_Vec2ScalarOperation",
+            "CM_Vec2ToScalarBinaryOperation",
+            "CM_Vec2ToScalarUnaryOperation",
+            "CM_Vec2UnaryCondition",
+            "CM_Vec2UnaryOperation",
+            "CM_Vec3BinaryCondition",
+            "CM_Vec3BinaryOperation",
+            "CM_Vec3ScalarOperation",
+            "CM_Vec3ToScalarBinaryOperation",
+            "CM_Vec3ToScalarUnaryOperation",
+            "CM_Vec3UnaryCondition",
+            "CM_Vec3UnaryOperation",
+            "CM_Vec4BinaryCondition",
+            "CM_Vec4BinaryOperation",
+            "CM_Vec4ScalarOperation",
+            "CM_Vec4ToScalarBinaryOperation",
+            "CM_Vec4ToScalarUnaryOperation",
+            "CM_Vec4UnaryCondition",
+            "CM_Vec4UnaryOperation"
+        ],
+        {
+            "title_aux": "ComfyMath"
+        }
+    ],
+    "https://github.com/exdysa/comfyui-selector": [
+        [
+            "Fork",
+            "ForkClip",
+            "Recourse",
+            "Recourse+/-",
+            "RecourseCkpt",
+            "RecourseImage",
+            "Selector",
+            "Unite"
+        ],
+        {
+            "author": "\"\u02f6\ud835\udfa2\u292c\u2ad2\u2d56s\u143c\u02f6\"",
+            "description": "\"EXDYSA. Selector and Recourse. Presets & failsafes. Work flow.\"",
+            "nickname": "\"Selector\"",
+            "title": "\"Selector\"",
+            "title_aux": "comfyui-selector"
+        }
+    ],
+    "https://github.com/fablestudio/ComfyUI-Showrunner-Utils": [
+        [
+            "AlignFace"
+        ],
+        {
+            "title_aux": "ComfyUI-Showrunner-Utils"
+        }
+    ],
+    "https://github.com/fairy-root/Flux-Prompt-Generator": [
+        [
+            "FluxPromptGenerator"
+        ],
+        {
+            "title_aux": "Flux Prompt Generator for ComfyUI"
+        }
+    ],
+    "https://github.com/fairy-root/comfyui-ollama-llms": [
+        [
+            "ConcatenateText",
+            "llava",
+            "ollama"
+        ],
+        {
+            "title_aux": "Ollama and Llava Vision integration for ComfyUI"
+        }
+    ],
+    "https://github.com/fearnworks/ComfyUI_FearnworksNodes": [
+        [
+            "Count Files in Directory (FW)",
+            "Count Tokens (FW)",
+            "CountTokens",
+            "FileCountInDirectory",
+            "Token Count Ranker(FW)",
+            "TokenCountRanker",
+            "Trim To Tokens (FW)",
+            "TrimToTokens"
+        ],
+        {
+            "title_aux": "Fearnworks Nodes"
+        }
+    ],
+    "https://github.com/fexli/fexli-util-node-comfyui": [
+        [
+            "FEBCPrompt",
+            "FEBatchGenStringBCDocker",
+            "FEColor2Image",
+            "FEColorOut",
+            "FEDataInsertor",
+            "FEDataPacker",
+            "FEDataUnpacker",
+            "FEDeepClone",
+            "FEDictPacker",
+            "FEDictUnpacker",
+            "FEEncLoraLoader",
+            "FEExtraInfoAdd",
+            "FEGenStringBCDocker",
+            "FEGenStringGPT",
+            "FEImageNoiseGenerate",
+            "FEImagePadForOutpaint",
+            "FEImagePadForOutpaintByImage",
+            "FEOperatorIf",
+            "FEPythonStrOp",
+            "FERandomBool",
+            "FERandomLoraSelect",
+            "FERandomPrompt",
+            "FERandomizedColor2Image",
+            "FERandomizedColorOut",
+            "FERerouteWithName",
+            "FESaveEncryptImage",
+            "FETextCombine",
+            "FETextCombine2Any",
+            "FETextInput"
+        ],
+        {
+            "title_aux": "fexli-util-node-comfyui"
+        }
+    ],
+    "https://github.com/fexploit/ComfyUI-AutoLabel": [
+        [
+            "AutoLabel"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoLabel"
+        }
+    ],
+    "https://github.com/fexploit/ComfyUI-AutoTrimBG": [
+        [
+            "RonLayers/TrimBg: RonLayersTrimBgUltraV2"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoTrimBG"
+        }
+    ],
+    "https://github.com/fexploit/ComfyUI-Classifier": [
+        [
+            "ClassifierNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Classifier"
+        }
+    ],
+    "https://github.com/filipemeneses/comfy_pixelization": [
+        [
+            "Pixelization"
+        ],
+        {
+            "title_aux": "Pixelization"
+        }
+    ],
+    "https://github.com/filliptm/ComfyUI_FL-Trainer": [
+        [
+            "FL_ImageCaptionSaver",
+            "FL_KohyaSSAdvConfig",
+            "FL_KohyaSSDatasetConfig",
+            "FL_KohyaSSInitWorkspace",
+            "FL_KohyaSSTrain",
+            "FL_Kohya_EasyTrain",
+            "FL_LoadImagesFromDirectoryPath",
+            "FL_SliderLoraAdvConfig",
+            "FL_SliderLoraDatasetConfig",
+            "FL_SliderLoraInitWorkspace",
+            "FL_SliderLoraTrain"
+        ],
+        {
+            "title_aux": "ComfyUI_FL-Trainer"
+        }
+    ],
+    "https://github.com/filliptm/ComfyUI_Fill-Nodes": [
+        [
+            "FL_Ascii",
+            "FL_BatchAlign",
+            "FL_BulkPDFLoader",
+            "FL_BulletHellGame",
+            "FL_CaptionToCSV",
+            "FL_CodeNode",
+            "FL_ColorPicker",
+            "FL_Dalle3",
+            "FL_DirectoryCrawl",
+            "FL_Dither",
+            "FL_FractalKSampler",
+            "FL_GPT_Vision",
+            "FL_Glitch",
+            "FL_GradGenerator",
+            "FL_HFHubModelUploader",
+            "FL_HF_Character",
+            "FL_HalftonePattern",
+            "FL_HexagonalPattern",
+            "FL_ImageCaptionLayout",
+            "FL_ImageCaptionLayoutPDF",
+            "FL_ImageCaptionSaver",
+            "FL_ImageCollage",
+            "FL_ImageDimensionDisplay",
+            "FL_ImageNotes",
+            "FL_ImagePixelator",
+            "FL_ImageRandomizer",
+            "FL_ImagesToPDF",
+            "FL_InfiniteZoom",
+            "FL_InpaintCrop",
+            "FL_Inpaint_Stitch",
+            "FL_KSamplerXYZPlot",
+            "FL_KsamplerBasic",
+            "FL_KsamplerPlus",
+            "FL_KsamplerSettings",
+            "FL_LoadImage",
+            "FL_MirrorAndAppendCaptions",
+            "FL_NFTGenerator",
+            "FL_OllamaCaptioner",
+            "FL_PDFImageExtractor",
+            "FL_PDFLoader",
+            "FL_PDFMerger",
+            "FL_PDFSaver",
+            "FL_PDFTextExtractor",
+            "FL_PDFToImages",
+            "FL_PaperDrawn",
+            "FL_PasteOnCanvas",
+            "FL_PixelArtShader",
+            "FL_PixelSort",
+            "FL_PromptSelector",
+            "FL_RandomNumber",
+            "FL_RetroEffect",
+            "FL_Ripple",
+            "FL_SDUltimate_Slices",
+            "FL_SamplerStrings",
+            "FL_SaveAndDisplayImage",
+            "FL_SaveCSV",
+            "FL_SaveImages",
+            "FL_SchedulerStrings",
+            "FL_SendToDiscordWebhook",
+            "FL_SeparateMaskComponents",
+            "FL_Shadertoy",
+            "FL_SimpleGPTVision",
+            "FL_SystemCheck",
+            "FL_TetrisGame",
+            "FL_TimeLine",
+            "FL_UpscaleModel",
+            "FL_VideoCropMask",
+            "FL_VideoRecompose",
+            "FL_ZipDirectory",
+            "FL_ZipSave",
+            "GradientImageGenerator"
+        ],
+        {
+            "title_aux": "ComfyUI_Fill-Nodes"
+        }
+    ],
+    "https://github.com/fitCorder/fcSuite/raw/main/fcSuite.py": [
+        [
+            "fcFloat",
+            "fcFloatMatic",
+            "fcHex",
+            "fcInteger"
+        ],
+        {
+            "title_aux": "fcSuite"
+        }
+    ],
+    "https://github.com/florestefano1975/ComfyUI-Advanced-Sequence-Seed": [
+        [
+            "AdvancedSequenceSeedNode"
+        ],
+        {
+            "title_aux": "Advanced Sequence Seed Generator"
+        }
+    ],
+    "https://github.com/florestefano1975/ComfyUI-HiDiffusion": [
+        [
+            "HiDiffusionSD15",
+            "HiDiffusionSD21",
+            "HiDiffusionSDXL",
+            "HiDiffusionSDXLTurbo"
+        ],
+        {
+            "title_aux": "ComfyUI HiDiffusion"
+        }
+    ],
+    "https://github.com/florestefano1975/ComfyUI-StabilityAI-Suite": [
+        [
+            "StabilityAI Suite - Creative Upscale",
+            "StabilityAI Suite - Creative Upscale Recover File",
+            "StabilityAI Suite - Image Core + Style Preset",
+            "StabilityAI Suite - Inpainting",
+            "StabilityAI Suite - Outpainting",
+            "StabilityAI Suite - Remove Background",
+            "StabilityAI Suite - SD3",
+            "StabilityAI Suite - Search and Replace"
+        ],
+        {
+            "title_aux": "ComfyUI StabilityAI Suite"
+        }
+    ],
+    "https://github.com/florestefano1975/comfyui-portrait-master": [
+        [
+            "PortraitMaster",
+            "PortraitMasterBaseCharacter",
+            "PortraitMasterMakeup",
+            "PortraitMasterSkinDetails",
+            "PortraitMasterStylePose"
+        ],
+        {
+            "title_aux": "comfyui-portrait-master"
+        }
+    ],
+    "https://github.com/florestefano1975/comfyui-prompt-composer": [
+        [
+            "PromptComposerCustomLists",
+            "PromptComposerEffect",
+            "PromptComposerGrouping",
+            "PromptComposerMerge",
+            "PromptComposerStyler",
+            "PromptComposerTextSingle",
+            "promptComposerTextMultiple"
+        ],
+        {
+            "title_aux": "comfyui-prompt-composer"
+        }
+    ],
+    "https://github.com/flowtyone/ComfyUI-Flowty-CRM": [
+        [
+            "CCMSampler",
+            "CRMModelLoader",
+            "CRMModeler",
+            "CRMModelerCuda",
+            "CRMPoseSampler",
+            "CRMPoserConfig",
+            "CRMPreprocessForPoser",
+            "CRMViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Flowty-CRM"
+        }
+    ],
+    "https://github.com/flowtyone/ComfyUI-Flowty-LDSR": [
+        [
+            "LDSRModelLoader",
+            "LDSRUpscale",
+            "LDSRUpscaler"
+        ],
+        {
+            "title_aux": "ComfyUI-Flowty-LDSR"
+        }
+    ],
+    "https://github.com/flowtyone/ComfyUI-Flowty-TripoSR": [
+        [
+            "TripoSRModelLoader",
+            "TripoSRSampler",
+            "TripoSRViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Flowty-TripoSR"
+        }
+    ],
+    "https://github.com/flyingshutter/As_ComfyUI_CustomNodes": [
+        [
+            "BatchIndex_AS",
+            "CropImage_AS",
+            "Eval_AS",
+            "ImageMixMasked_As",
+            "ImageToMask_AS",
+            "Increment_AS",
+            "Int2Any_AS",
+            "LatentAdd_AS",
+            "LatentMixMasked_As",
+            "LatentMix_AS",
+            "LatentToImages_AS",
+            "LoadLatent_AS",
+            "MapRange_AS",
+            "MaskToImage_AS",
+            "Math_AS",
+            "NoiseImage_AS",
+            "Number2Float_AS",
+            "Number2Int_AS",
+            "Number_AS",
+            "SaveLatent_AS",
+            "TextToImage_AS",
+            "TextWildcardList_AS"
+        ],
+        {
+            "title_aux": "As_ComfyUI_CustomNodes"
+        }
+    ],
+    "https://github.com/fmatray/ComfyUI_BattlemapGrid": [
+        [
+            "Battlemap Grid",
+            "Compass",
+            "Map Generator",
+            "Map Generator(Outdoors)"
+        ],
+        {
+            "title_aux": "ComfyUI_BattlemapGrid"
+        }
+    ],
+    "https://github.com/fofr/ComfyUI-HyperSDXL1StepUnetScheduler": [
+        [
+            "HyperSDXL1StepUnetScheduler"
+        ],
+        {
+            "title_aux": "ComfyUI-HyperSDXL1StepUnetScheduler (ByteDance)"
+        }
+    ],
+    "https://github.com/fofr/ComfyUI-Prompter-fofrAI": [
+        [
+            "List sampler \ud83e\udeb4",
+            "Prompt from template \ud83e\udeb4"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompter-fofrAI"
+        }
+    ],
+    "https://github.com/fofr/comfyui-fofr-toolkit": [
+        [
+            "Incrementer \ud83e\udeb4",
+            "Width and height for scaling image to ideal resolution \ud83e\udeb4",
+            "Width and height from aspect ratio \ud83e\udeb4"
+        ],
+        {
+            "title_aux": "comfyui-fofr-toolkit"
+        }
+    ],
+    "https://github.com/forever22777/comfyui-self-guidance": [
+        [
+            "CLIPConditioning",
+            "CheckpointLoaderMixWithDiffusers",
+            "SelfGuidanceSampler"
+        ],
+        {
+            "title_aux": "Self-Guidance nodes"
+        }
+    ],
+    "https://github.com/foxtrot-roger/comfyui-rf-nodes": [
+        [
+            "LogBool",
+            "LogFloat",
+            "LogInt",
+            "LogNumber",
+            "LogString",
+            "LogVec2",
+            "LogVec3",
+            "RF_AtIndexString",
+            "RF_BoolToString",
+            "RF_FloatToString",
+            "RF_IntToString",
+            "RF_JsonStyleLoader",
+            "RF_MergeLines",
+            "RF_NumberToString",
+            "RF_OptionsString",
+            "RF_RangeFloat",
+            "RF_RangeInt",
+            "RF_RangeNumber",
+            "RF_SavePromptInfo",
+            "RF_SplitLines",
+            "RF_TextConcatenate",
+            "RF_TextInput",
+            "RF_TextReplace",
+            "RF_Timestamp",
+            "RF_ToString",
+            "RF_Vec2ToString",
+            "RF_Vec3ToString",
+            "TextLine"
+        ],
+        {
+            "title_aux": "RF Nodes"
+        }
+    ],
+    "https://github.com/frankchieng/ComfyUI_Aniportrait": [
+        [
+            "AniPortrait_Audio2Video",
+            "AniPortrait_Audio_Path",
+            "AniPortrait_LoadVideoPath",
+            "AniPortrait_Pose_Gen_Video",
+            "AniPortrait_Ref_Image_Path",
+            "AniPortrait_Video_Gen_Pose"
+        ],
+        {
+            "title_aux": "ComfyUI_Aniportrait"
+        }
+    ],
+    "https://github.com/frankchieng/ComfyUI_MagicClothing": [
+        [
+            "MagicClothing_Animatediff",
+            "MagicClothing_Generate",
+            "MagicClothing_Inpainting"
+        ],
+        {
+            "title_aux": "ComfyUI_MagicClothing"
+        }
+    ],
+    "https://github.com/frankchieng/ComfyUI_llm_easyanimiate": [
+        [],
+        {
+            "nodename_pattern": "^FrankChiengEasyAnimate",
+            "title_aux": "ComfyUI_llm_easyanimiate"
+        }
+    ],
+    "https://github.com/freelifehacker/ComfyUI-ImgMask2PNG": [
+        [
+            "ImageMask2PNG"
+        ],
+        {
+            "title_aux": "ComfyUI-ImgMask2PNG"
+        }
+    ],
+    "https://github.com/fsdymy1024/ComfyUI_fsdymy": [
+        [
+            "IPAdapterLayerWeight",
+            "Preview Image Without Metadata",
+            "PreviewImageWithoutMetadata",
+            "Save Image Without Metadata",
+            "SaveImageWithoutMetadata",
+            "ShowText",
+            "ZhiPuAiNode"
+        ],
+        {
+            "title_aux": "ComfyUI_fsdymy"
+        }
+    ],
+    "https://github.com/fssorc/ComfyUI_FaceShaper": [
+        [
+            "FaceAlignmentCropper",
+            "FaceShaper",
+            "FaceShaperComposite",
+            "FaceShaperCropper",
+            "FaceShaperLoadInsightFaceCropper",
+            "FaceShaperLoadMediaPipeCropper",
+            "FaceShaperMatchV2",
+            "FaceShaperModels",
+            "FaceShaperShowLandMarks"
+        ],
+        {
+            "title_aux": "ComfyUI_FaceShaper"
+        }
+    ],
+    "https://github.com/fssorc/ComfyUI_pose_inter": [
+        [
+            "Pose_Inter"
+        ],
+        {
+            "title_aux": "ComfyUI_pose_inter"
+        }
+    ],
+    "https://github.com/gemell1/ComfyUI_GMIC": [
+        [
+            "GmicCliWrapper",
+            "GmicQtWrapper"
+        ],
+        {
+            "title_aux": "ComfyUI_GMIC"
+        }
+    ],
+    "https://github.com/get-salt-AI/SaltAI": [
+        [
+            "SAIPrimitiveConverter",
+            "SAIStringRegexSearchMatch",
+            "SAIStringRegexSearchReplace",
+            "SaltAIStableVideoDiffusion",
+            "SaltBatchCropDataExtractor",
+            "SaltCLIPSegLoader",
+            "SaltCLIPSegMasking",
+            "SaltCropImageLocation",
+            "SaltDisplayAny",
+            "SaltImagePasteCrop",
+            "SaltInfo",
+            "SaltInput",
+            "SaltLoadImageZip",
+            "SaltMaskCropRegion",
+            "SaltMasksToImages",
+            "SaltOutput",
+            "SaltRGBAFromMask",
+            "SaltWebsiteScreenshot"
+        ],
+        {
+            "title_aux": "SaltAI-Open-Resources"
+        }
+    ],
+    "https://github.com/get-salt-AI/SaltAI_Language_Toolkit": [
+        [
+            "AddTool",
+            "ChangeSystemMessage",
+            "ClearMemory",
+            "ConversableAgentCreator",
+            "ConversableAgentCreatorAdvanced",
+            "ConvertAgentAsTool",
+            "ConvertAgentToLlamaindex",
+            "CreateTavilySearchTool",
+            "Example",
+            "GenerateReply",
+            "GroupChat",
+            "GroupChatAdvanced",
+            "GroupChatManagerCreator",
+            "LLMCSVReader",
+            "LLMChat",
+            "LLMChatBot",
+            "LLMChatEngine",
+            "LLMChatMessageConcat",
+            "LLMChatMessages",
+            "LLMChatMessagesAdv",
+            "LLMComplete",
+            "LLMCustomNodeComposer",
+            "LLMDirectoryReader",
+            "LLMDocumentListAppend",
+            "LLMDocxReader",
+            "LLMEpubReader",
+            "LLMFlatReader",
+            "LLMHTMLTagReader",
+            "LLMHWPReader",
+            "LLMHtmlComposer",
+            "LLMHtmlRepair",
+            "LLMIPYNBReader",
+            "LLMImageCaptionReader",
+            "LLMImageTabularChartReader",
+            "LLMImageTextReader",
+            "LLMImageVisionLLMReader",
+            "LLMInputToDocuments",
+            "LLMJsonComposer",
+            "LLMJsonRepair",
+            "LLMLLaVANextImageEvaluator",
+            "LLMLLaVANextModelLoader",
+            "LLMMarkdownComposer",
+            "LLMMarkdownReader",
+            "LLMMarkdownRepair",
+            "LLMMboxReader",
+            "LLMMultiModalImageEvaluation",
+            "LLMNotionReader",
+            "LLMOpenAIModel",
+            "LLMOpenAIModelOpts",
+            "LLMPDFReader",
+            "LLMPagedCSVReader",
+            "LLMPandasCSVReader",
+            "LLMParquetDatasetSearcher",
+            "LLMPostProcessDocuments",
+            "LLMPptxReader",
+            "LLMPyMuPDFReader",
+            "LLMQueryEngine",
+            "LLMQueryEngineAdv",
+            "LLMQueryEngineAsTool",
+            "LLMRTFReader",
+            "LLMRegexCreator",
+            "LLMRegexRepair",
+            "LLMRssReaderNode",
+            "LLMSaltWebCrawler",
+            "LLMScaleSERPSearch",
+            "LLMSemanticSplitterNodeParser",
+            "LLMSentenceSplitterNodeCreator",
+            "LLMServiceContextAdv",
+            "LLMServiceContextDefault",
+            "LLMSimpleWebPageReader",
+            "LLMSimpleWebPageReaderAdv",
+            "LLMSummaryIndex",
+            "LLMTavilyResearch",
+            "LLMTrafilaturaWebReader",
+            "LLMTrafilaturaWebReaderAdv",
+            "LLMTreeIndex",
+            "LLMUnstructuredReader",
+            "LLMVectorStoreIndex",
+            "LLMVectorStoreIndexAdv",
+            "LLMVideoAudioReader",
+            "LLMXMLReader",
+            "LLMYamlComposer",
+            "LLMYamlRepair",
+            "SaltJSONQueryEngine",
+            "SendMessage",
+            "SimpleChat"
+        ],
+        {
+            "title_aux": "SaltAI_Language_Toolkit"
+        }
+    ],
+    "https://github.com/giriss/comfy-image-saver": [
+        [
+            "Cfg Literal",
+            "Checkpoint Selector",
+            "Int Literal",
+            "Sampler Selector",
+            "Save Image w/Metadata",
+            "Scheduler Selector",
+            "Seed Generator",
+            "String Literal",
+            "Width/Height Literal"
+        ],
+        {
+            "title_aux": "Save Image with Generation Metadata"
+        }
+    ],
+    "https://github.com/gisu/comfyui-foxpack": [
+        [
+            "Add_To_List",
+            "BaseSamplerSetup",
+            "Big_Prompter",
+            "Change_Entries_In_A_List",
+            "Change_Entry_From_List",
+            "CheckpointMetaExtractor",
+            "CheckpointSelector",
+            "Complete_Setup",
+            "Convert_Into",
+            "Negate_Boolean",
+            "Optional_Value_Override",
+            "OverrideSamplerSetup",
+            "Override_Value_If_Unset",
+            "Pick_Value_From_Dict",
+            "Pick_Values_From_List",
+            "Refine_Prompt",
+            "Refine_Setup",
+            "Remap_Values",
+            "Remove_Values_From_List",
+            "Select_By_Index",
+            "Select_Line_By_Index",
+            "Select_String_By_Index",
+            "SetupSelector",
+            "Show_Type",
+            "Split_Entry_In_2Chunks",
+            "Split_Entry_In_4Chunks",
+            "Split_Entry_In_6Chunks",
+            "Split_Entry_In_8Chunks",
+            "Step_Denoise",
+            "UniversalLatentHelper",
+            "Universal_VAE_Loader"
+        ],
+        {
+            "title_aux": "foxpack"
+        }
+    ],
+    "https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER": [
+        [
+            "ChangeImageBorder"
+        ],
+        {
+            "title_aux": "ComfyUI_Change_IMAGE_BOREDER"
+        }
+    ],
+    "https://github.com/githubYiheng/ComfyUI_GetFileNameFromURL": [
+        [
+            "GetFileNameFromURL"
+        ],
+        {
+            "title_aux": "ComfyUI_GetFileNameFromURL"
+        }
+    ],
+    "https://github.com/githubYiheng/comfyui_kmeans_filter": [
+        [
+            "ImageKmeansFilter"
+        ],
+        {
+            "title_aux": "comfyui_kmeans_filter"
+        }
+    ],
+    "https://github.com/githubYiheng/comfyui_meanshift_filter": [
+        [
+            "ImageMeanshiftFilter"
+        ],
+        {
+            "title_aux": "comfyui_meanshift_filter"
+        }
+    ],
+    "https://github.com/githubYiheng/comfyui_private_postprocessor": [
+        [
+            "ImageCPostprocessor",
+            "PrivateImageMask"
+        ],
+        {
+            "title_aux": "comfyui_private_postprocessor"
+        }
+    ],
+    "https://github.com/glibsonoran/Plush-for-ComfyUI": [
+        [
+            "AI Chooser",
+            "AdvPromptEnhancer",
+            "DalleImage",
+            "Enhancer",
+            "ImgTextSwitch",
+            "Plush-Exif Wrangler",
+            "Tagger",
+            "mulTextSwitch"
+        ],
+        {
+            "title_aux": "Plush-for-ComfyUI"
+        }
+    ],
+    "https://github.com/glifxyz/ComfyUI-GlifNodes": [
+        [
+            "FilmGrain",
+            "GlifConsistencyDecoder",
+            "GlifPatchConsistencyDecoderTiled",
+            "GlifVariable",
+            "HFHubEmbeddingLoader",
+            "HFHubLoraLoader",
+            "ImageToMultipleOf",
+            "SDXLAspectRatio"
+        ],
+        {
+            "title_aux": "ComfyUI-GlifNodes"
+        }
+    ],
+    "https://github.com/glowcone/comfyui-base64-to-image": [
+        [
+            "LoadImageFromBase64"
+        ],
+        {
+            "title_aux": "Load Image From Base64 URI"
+        }
+    ],
+    "https://github.com/glowcone/comfyui-string-converter": [
+        [
+            "StringToFloat",
+            "StringToInt"
+        ],
+        {
+            "title_aux": "String Converter"
+        }
+    ],
+    "https://github.com/goburiin/nsfwrecog-comfyui": [
+        [
+            "NSFWDetectorNode"
+        ],
+        {
+            "title_aux": "nsfwrecog-comfyui"
+        }
+    ],
+    "https://github.com/godspede/ComfyUI_Substring": [
+        [
+            "SubstringTheory"
+        ],
+        {
+            "title_aux": "ComfyUI Substring"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI-Depth-Visualization": [
+        [
+            "DepthViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Depth-Visualization"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI-Dream-Interpreter": [
+        [
+            "DreamViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Dream-Interpreter"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI-Texture-Simple": [
+        [
+            "TextureViewer"
+        ],
+        {
+            "title_aux": "ComfyUI-Texture-Simple"
+        }
+    ],
+    "https://github.com/gokayfem/ComfyUI_VLM_nodes": [
+        [
+            "AudioLDM2Node",
+            "ChatMusician",
+            "CreativeArtPromptGenerator",
+            "Internlm",
+            "Joytag",
+            "JsonToText",
+            "KeywordExtraction",
+            "Kosmos2model",
+            "LLMLoader",
+            "LLMPromptGenerator",
+            "LLMSampler",
+            "LLava Loader Simple",
+            "LLavaOptionalMemoryFreeAdvanced",
+            "LLavaOptionalMemoryFreeSimple",
+            "LLavaPromptGenerator",
+            "LLavaSamplerAdvanced",
+            "LLavaSamplerSimple",
+            "LlavaClipLoader",
+            "MCLLaVAModel",
+            "MoonDream",
+            "Moondream2model",
+            "PlayMusic",
+            "PromptGenerateAPI",
+            "SaveAudioNode",
+            "SimpleText",
+            "StructuredOutput",
+            "Suggester",
+            "UformGen2QwenNode",
+            "ViewText"
+        ],
+        {
+            "title_aux": "VLM_nodes"
+        }
+    ],
+    "https://github.com/gonzalu/ComfyUI_YFG_Comical": [
+        [
+            "Image10Switcher_node",
+            "Image15Switcher_node",
+            "Image20Switcher_node",
+            "Image3Switcher_node",
+            "Image5Switcher_node",
+            "MonoClip_node",
+            "PixelArt_node",
+            "VAEDecodePreview_node",
+            "image2contrastMask_node",
+            "image2imbgg_node",
+            "image_halftone",
+            "image_histograms_node",
+            "image_histograms_node_compact",
+            "images_side_by_side",
+            "imgbbLoader_node",
+            "smartCheckpointLoader_node",
+            "storeURL_node",
+            "textMaskOverlay_node"
+        ],
+        {
+            "author": "Manny Gonzalez",
+            "description": "Utility custom nodes for special effects, image manipulation and quality of life tools.",
+            "nickname": "\ud83d\udc2f YFG Comical Nodes",
+            "title": "\ud83d\udc2f YFG Comical Nodes",
+            "title_aux": "\ud83d\ude38 YFG Comical Nodes"
+        }
+    ],
+    "https://github.com/griptape-ai/ComfyUI-Griptape": [
+        [
+            "Griptape Agent Config: Amazon Bedrock",
+            "Griptape Agent Config: Anthropic",
+            "Griptape Agent Config: Azure OpenAI",
+            "Griptape Agent Config: Custom Structure",
+            "Griptape Agent Config: Environment Variables",
+            "Griptape Agent Config: Google",
+            "Griptape Agent Config: HuggingFace",
+            "Griptape Agent Config: LM Studio",
+            "Griptape Agent Config: Ollama",
+            "Griptape Agent Config: OpenAI",
+            "Griptape Agent Config: OpenAI Compatible",
+            "Griptape Audio Transcription Driver: OpenAI",
+            "Griptape Combine: Merge Inputs",
+            "Griptape Combine: Merge Texts",
+            "Griptape Combine: Rules List",
+            "Griptape Combine: Tool List",
+            "Griptape Config: Environment Variables",
+            "Griptape Convert: Agent to Tool",
+            "Griptape Convert: Text to CLIP Encode",
+            "Griptape Convert: Text to Combo",
+            "Griptape Create: Agent",
+            "Griptape Create: Agent from Config",
+            "Griptape Create: CLIP Text Encode",
+            "Griptape Create: Image Variation",
+            "Griptape Create: Image from Text",
+            "Griptape Create: Pipeline",
+            "Griptape Create: Rules",
+            "Griptape Create: Text",
+            "Griptape Display: Artifact",
+            "Griptape Display: Data as Text",
+            "Griptape Display: Image",
+            "Griptape Display: Text",
+            "Griptape Driver: Amazon Bedrock Stable Diffusion",
+            "Griptape Driver: Amazon Bedrock Titan",
+            "Griptape Driver: Azure OpenAI Image Generation",
+            "Griptape Driver: Leonardo.AI",
+            "Griptape Driver: OpenAI Image Generation",
+            "Griptape Embedding Driver: Amazon Bedrock Titan",
+            "Griptape Embedding Driver: Amazon SageMaker Jumpstart",
+            "Griptape Embedding Driver: Azure OpenAI",
+            "Griptape Embedding Driver: Cohere",
+            "Griptape Embedding Driver: Google",
+            "Griptape Embedding Driver: HuggingFace",
+            "Griptape Embedding Driver: Ollama",
+            "Griptape Embedding Driver: OpenAI",
+            "Griptape Embedding Driver: OpenAI Compatible",
+            "Griptape Embedding Driver: Voyage AI",
+            "Griptape Expand: Agent Nodes",
+            "Griptape Load: Audio",
+            "Griptape Load: Image From URL",
+            "Griptape Load: Text",
+            "Griptape Pipeline: Add Task",
+            "Griptape Pipeline: Insert Task",
+            "Griptape Prompt Driver: Amazon Bedrock",
+            "Griptape Prompt Driver: Amazon SageMaker Jumpstart",
+            "Griptape Prompt Driver: Anthropic",
+            "Griptape Prompt Driver: Azure OpenAI",
+            "Griptape Prompt Driver: Cohere",
+            "Griptape Prompt Driver: Google",
+            "Griptape Prompt Driver: HuggingFace",
+            "Griptape Prompt Driver: LM Studio",
+            "Griptape Prompt Driver: Ollama",
+            "Griptape Prompt Driver: OpenAI",
+            "Griptape Prompt Driver: OpenAI Compatible",
+            "Griptape Replace: Rulesets on Agent",
+            "Griptape Replace: Tools on Agent",
+            "Griptape Run: Agent",
+            "Griptape Run: Audio Transcription",
+            "Griptape Run: Image Description",
+            "Griptape Run: Parallel Image Description",
+            "Griptape Run: Prompt Task",
+            "Griptape Run: Structure",
+            "Griptape Run: Text Summary",
+            "Griptape Run: Text to Speech",
+            "Griptape Run: Tool Task",
+            "Griptape Run: Toolkit Task",
+            "Griptape Save: Text",
+            "Griptape Set: Default Agent",
+            "Griptape Text To Speech Driver: ElevenLabs",
+            "Griptape Text To Speech Driver: OpenAI",
+            "Griptape Tool: Audio Transcription",
+            "Griptape Tool: Calculator",
+            "Griptape Tool: DateTime",
+            "Griptape Tool: Extraction",
+            "Griptape Tool: FileManager",
+            "Griptape Tool: Griptape Cloud KnowledgeBase",
+            "Griptape Tool: Prompt Summary",
+            "Griptape Tool: Query",
+            "Griptape Tool: Text to Speech",
+            "Griptape Tool: VectorStore",
+            "Griptape Tool: WebScraper",
+            "Griptape Tool: WebSearch",
+            "Griptape Vector Store Driver: Amazon OpenSearch",
+            "Griptape Vector Store Driver: Azure MongoDB",
+            "Griptape Vector Store Driver: Griptape Cloud KnowledgeBase",
+            "Griptape Vector Store Driver: Local",
+            "Griptape Vector Store Driver: Marqo",
+            "Griptape Vector Store Driver: MongoDB Atlas",
+            "Griptape Vector Store Driver: PGVector",
+            "Griptape Vector Store Driver: Pinecone",
+            "Griptape Vector Store Driver: Qdrant",
+            "Griptape Vector Store Driver: Redis",
+            "Griptape Vector Store: Add Text",
+            "Griptape Vector Store: Query",
+            "Griptape WebSearch Driver: DuckDuckGo",
+            "Griptape WebSearch Driver: Google",
+            "Gt Run Agent"
+        ],
+        {
+            "author": "Jason Schleifer",
+            "description": "This extension offers various nodes that allow you to work with LLMs using the Griptape Python Framework (https://griptape.ai)",
+            "nickname": "ComfyUI-Griptape",
+            "title": "ComfyUI Griptape Nodes",
+            "title_aux": "ComfyUI Griptape Nodes"
+        }
+    ],
+    "https://github.com/gseth/ControlAltAI-Nodes": [
+        [
+            "BooleanBasic",
+            "BooleanReverse",
+            "FluxControlNetApply",
+            "FluxResolutionNode",
+            "FluxSampler",
+            "GetImageSizeRatio"
+        ],
+        {
+            "title_aux": "ControlAltAI Nodes"
+        }
+    ],
+    "https://github.com/guill/abracadabra-comfyui": [
+        [
+            "AbracadabraNode",
+            "AbracadabraNodeDefSummary"
+        ],
+        {
+            "title_aux": "abracadabra-comfyui"
+        }
+    ],
+    "https://github.com/guoyk93/yk-node-suite-comfyui": [
+        [
+            "YKImagePadForOutpaint",
+            "YKMaskToImage"
+        ],
+        {
+            "title_aux": "y.k.'s ComfyUI node suite"
+        }
+    ],
+    "https://github.com/hackkhai/ComfyUI-Image-Matting": [
+        [
+            "ApplyMatting",
+            "CreateTrimap",
+            "MattingModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Matting"
+        }
+    ],
+    "https://github.com/haohaocreates/ComfyUI-HH-Image-Selector": [
+        [
+            "Image Selector"
+        ],
+        {
+            "title_aux": "ComfyUI-HH-Image-Selector"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_AceNodes": [
+        [
+            "ACE_AnyInputSwitchBool",
+            "ACE_AnyInputToAny",
+            "ACE_AudioLoad",
+            "ACE_AudioPlay",
+            "ACE_AudioSave",
+            "ACE_Expression_Eval",
+            "ACE_Float",
+            "ACE_ImageColorFix",
+            "ACE_ImageConstrain",
+            "ACE_ImageFaceCrop",
+            "ACE_ImageGetSize",
+            "ACE_ImageLoadFromCloud",
+            "ACE_ImageQA",
+            "ACE_ImageRemoveBackground",
+            "ACE_ImageSaveToCloud",
+            "ACE_Integer",
+            "ACE_MaskBlur",
+            "ACE_Seed",
+            "ACE_Text",
+            "ACE_TextConcatenate",
+            "ACE_TextGoogleTranslate",
+            "ACE_TextInputSwitch2Way",
+            "ACE_TextInputSwitch4Way",
+            "ACE_TextInputSwitch8Way",
+            "ACE_TextList",
+            "ACE_TextPreview",
+            "ACE_TextSelector",
+            "ACE_TextToResolution",
+            "ACE_TextTranslate"
+        ],
+        {
+            "title_aux": "ComfyUI AceNodes"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_DDColor": [
+        [
+            "D_DDColor"
+        ],
+        {
+            "title_aux": "ComfyUI DDColor"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_Dreamtalk": [
+        [
+            "D_DreamTalk"
+        ],
+        {
+            "title_aux": "ComfyUI Dreamtalk"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_Hallo": [
+        [
+            "D_HalloNode"
+        ],
+        {
+            "title_aux": "ComfyUI Hallo"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_MiniCPM-V": [
+        [
+            "D_MiniCPM_VQA"
+        ],
+        {
+            "title_aux": "ComfyUI MiniCPM-V"
+        }
+    ],
+    "https://github.com/hay86/ComfyUI_OpenVoice": [
+        [
+            "D_OpenVoice_STS",
+            "D_OpenVoice_TTS",
+            "D_OpenVoice_TTS_V2"
+        ],
+        {
+            "title_aux": "ComfyUI OpenVoice"
+        }
+    ],
+    "https://github.com/hben35096/ComfyUI-ReplenishNodes": [
+        [
+            "CLIPSegToMask",
+            "CombineSegMasks"
+        ],
+        {
+            "title_aux": "ComfyUI-ReplenishNodes"
+        }
+    ],
+    "https://github.com/hben35096/ComfyUI-ToolBox": [
+        [
+            "AutoDLDownload",
+            "CreatePaths",
+            "FolderDeleter",
+            "FolderViewe",
+            "PathOutput"
+        ],
+        {
+            "title_aux": "ComfyUI-ToolBox"
+        }
+    ],
+    "https://github.com/heshengtao/comfyui_LLM_party": [
+        [
+            "About_us",
+            "AmapRegeoTool",
+            "AmapWeatherTool",
+            "CLIPTextEncode_party",
+            "ChatTTS_Node",
+            "CosyVoice",
+            "Dingding",
+            "Dingding_tool",
+            "FeishuDownloadAudio",
+            "FeishuDownloadImage",
+            "FeishuGetHistory",
+            "FeishuSendMsg",
+            "FileOnlineDelete_gitee",
+            "FileOnlineStorage_gitee",
+            "FilePathExists",
+            "GeocodeTool",
+            "Images2Image",
+            "KG_csv_toolkit_developer",
+            "KG_csv_toolkit_user",
+            "KG_json_toolkit_developer",
+            "KG_json_toolkit_user",
+            "KG_neo_toolkit_developer",
+            "KG_neo_toolkit_user",
+            "KSampler_party",
+            "LLM",
+            "LLM_api_loader",
+            "LLM_local",
+            "LLM_local_loader",
+            "LLavaLoader",
+            "Lorebook",
+            "URL2IMG",
+            "VAEDecode_party",
+            "accuweather_tool",
+            "advance_ebd_tool",
+            "api_function",
+            "api_tool",
+            "arxiv_tool",
+            "bing_loader",
+            "bing_tool",
+            "bool_logic",
+            "check_web_tool",
+            "classify_function",
+            "classify_function_plus",
+            "classify_persona",
+            "classify_persona_plus",
+            "clear_file",
+            "clear_model",
+            "custom_persona",
+            "discord_bot",
+            "discord_file_monitor",
+            "discord_send",
+            "duckduckgo_loader",
+            "duckduckgo_tool",
+            "ebd_tool",
+            "embeddings_function",
+            "end_dialog",
+            "end_workflow",
+            "extra_parameters",
+            "feishu",
+            "feishu_tool",
+            "file_combine",
+            "file_combine_plus",
+            "flux_persona",
+            "genai_api_loader",
+            "get_string",
+            "github_tool",
+            "google_loader",
+            "google_tool",
+            "image_iterator",
+            "img2path",
+            "interpreter_function",
+            "interpreter_tool",
+            "json2text",
+            "json_get_value",
+            "json_iterator",
+            "json_parser",
+            "keyword_tool",
+            "list_append",
+            "list_append_plus",
+            "list_extend",
+            "list_extend_plus",
+            "listen_audio",
+            "load_ebd",
+            "load_excel",
+            "load_file",
+            "load_file_folder",
+            "load_img_path",
+            "load_int",
+            "load_keyword",
+            "load_name",
+            "load_openai_ebd",
+            "load_persona",
+            "load_url",
+            "load_wikipedia",
+            "new_interpreter_tool",
+            "none2false",
+            "omost_decode",
+            "omost_json2py",
+            "omost_setting",
+            "openai_ebd_tool",
+            "openai_tts",
+            "openai_whisper",
+            "parameter_combine",
+            "parameter_combine_plus",
+            "parameter_function",
+            "replace_string",
+            "save_ebd_database",
+            "save_openai_ebd",
+            "show_text_party",
+            "start_dialog",
+            "start_workflow",
+            "story_json_tool",
+            "str2float",
+            "string_logic",
+            "substring",
+            "text2json",
+            "text2parameters",
+            "text_iterator",
+            "time_tool",
+            "tool_combine",
+            "tool_combine_plus",
+            "translate_persona",
+            "weather_tool",
+            "weekday_tool",
+            "wikipedia_tool",
+            "work_wechat",
+            "work_wechat_tool",
+            "workflow_tool",
+            "workflow_transfer",
+            "workflow_transfer_v2"
+        ],
+        {
+            "title_aux": "comfyui_LLM_party"
+        }
+    ],
+    "https://github.com/heshengtao/comfyui_LLM_schools": [
+        [
+            "CausalLM_trainer",
+            "IA3_Arguments",
+            "LLM_Arguments",
+            "Lora_or_adapter_Arguments",
+            "P_or_Prompt_Arguments",
+            "Prefix_Arguments",
+            "download_dataset",
+            "get_dataset_name",
+            "split_dataset"
+        ],
+        {
+            "title_aux": "comfyui_LLM_schools"
+        }
+    ],
+    "https://github.com/hhhzzyang/Comfyui_Lama": [
+        [
+            "LamaApply",
+            "LamaModelLoader",
+            "YamlConfigLoader"
+        ],
+        {
+            "title_aux": "Comfyui-Lama"
+        }
+    ],
+    "https://github.com/hiforce/comfyui-hiforce-plugin": [
+        [
+            "HfBoolSwitchKSampleStatus",
+            "HfImageAutoExpansionSquare",
+            "HfImageToRGB",
+            "HfImageToRGBA",
+            "HfInitImageWithMaxSize",
+            "HfIterativeLatentUpscale",
+            "HfLoadImageWithCropper",
+            "HfLookbackSamplerLoader",
+            "HfLoopback",
+            "HfResizeImage",
+            "HfSampler",
+            "HfSamplerLoader",
+            "HfSamplerLoopback",
+            "HfSaveImage",
+            "HfSwitchKSampleStatus",
+            "HfTwoSamplersForMask",
+            "HfTwoStepSamplers",
+            "LoadImageFromURL"
+        ],
+        {
+            "title_aux": "Comfyui HiFORCE Plugin"
+        }
+    ],
+    "https://github.com/hinablue/ComfyUI_3dPoseEditor": [
+        [
+            "Hina.PoseEditor3D"
+        ],
+        {
+            "title_aux": "ComfyUI 3D Pose Editor"
+        }
+    ],
+    "https://github.com/holchan/ComfyUI-ModelDownloader": [
+        [
+            "LoRADownloader",
+            "ModelDownloader"
+        ],
+        {
+            "title_aux": "ComfyUI-ModelDownloader"
+        }
+    ],
+    "https://github.com/huagetai/ComfyUI-Gaffer": [
+        [
+            "ApplyICLight",
+            "CalculateNormalMap",
+            "GrayScaler",
+            "ICLightModelLoader",
+            "LightSource"
+        ],
+        {
+            "title_aux": "comfyui's gaffer(ComfyUI native implementation of IC-Light. )"
+        }
+    ],
+    "https://github.com/huagetai/ComfyUI_LightGradient": [
+        [
+            "ImageGradient",
+            "MaskGradient"
+        ],
+        {
+            "title_aux": "Light Gradient for ComfyUI"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI-IC-Light-Native": [
+        [
+            "ICLightApplyMaskGrey",
+            "ICLightAppply",
+            "VAEEncodeArgMax"
+        ],
+        {
+            "title_aux": "ComfyUI-IC-Light-Native"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI-layerdiffuse": [
+        [
+            "LayeredDiffusionApply",
+            "LayeredDiffusionCondApply",
+            "LayeredDiffusionCondJointApply",
+            "LayeredDiffusionDecode",
+            "LayeredDiffusionDecodeRGBA",
+            "LayeredDiffusionDecodeSplit",
+            "LayeredDiffusionDiffApply",
+            "LayeredDiffusionJointApply"
+        ],
+        {
+            "title_aux": "ComfyUI-layerdiffuse (layerdiffusion)"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI-openpose-editor": [
+        [
+            "huchenlei.LoadOpenposeJSON"
+        ],
+        {
+            "title_aux": "ComfyUI-openpose-editor"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI_DanTagGen": [
+        [
+            "PromptDanTagGen"
+        ],
+        {
+            "title_aux": "ComfyUI_DanTagGen"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI_densediffusion": [
+        [
+            "DenseDiffusionAddCondNode",
+            "DenseDiffusionApplyNode"
+        ],
+        {
+            "title_aux": "ComfyUI DenseDiffusion"
+        }
+    ],
+    "https://github.com/huchenlei/ComfyUI_omost": [
+        [
+            "OmostDenseDiffusionLayoutNode",
+            "OmostGreedyBagsTextEmbeddingNode",
+            "OmostLLMChatNode",
+            "OmostLLMHTTPServerNode",
+            "OmostLLMLoaderNode",
+            "OmostLayoutCondNode",
+            "OmostLoadCanvasConditioningNode",
+            "OmostLoadCanvasPythonCodeNode",
+            "OmostRenderCanvasConditioningNode"
+        ],
+        {
+            "title_aux": "ComfyUI_omost"
+        }
+    ],
+    "https://github.com/hughescr/ComfyUI-OpenPose-Keypoint-Extractor": [
+        [
+            "Openpose Keypoint Extractor"
+        ],
+        {
+            "title_aux": "OpenPose Keypoint Extractor"
+        }
+    ],
+    "https://github.com/hustille/ComfyUI_Fooocus_KSampler": [
+        [
+            "KSampler With Refiner (Fooocus)"
+        ],
+        {
+            "title_aux": "ComfyUI_Fooocus_KSampler"
+        }
+    ],
+    "https://github.com/hustille/ComfyUI_hus_utils": [
+        [
+            "3way Prompt Styler",
+            "Batch State",
+            "Date Time Format",
+            "Debug Extra",
+            "Fetch widget value",
+            "Text Hash"
+        ],
+        {
+            "title_aux": "hus' utils for ComfyUI"
+        }
+    ],
+    "https://github.com/hwhaocool/ComfyUI-Select-Any": [
+        [
+            "SelectAnyValues"
+        ],
+        {
+            "title_aux": "ComfyUI-Select-Any"
+        }
+    ],
+    "https://github.com/hylarucoder/ComfyUI-Eagle-PNGInfo": [
+        [
+            "EagleImageNode",
+            "SDXLPromptStyler",
+            "SDXLPromptStylerAdvanced",
+            "SDXLResolutionPresets"
+        ],
+        {
+            "title_aux": "Eagle PNGInfo"
+        }
+    ],
+    "https://github.com/hyunamy/comfy-ui-on-complete-email-me": [
+        [
+            "OnCompleteEmailMe",
+            "OnCompleteWebhook"
+        ],
+        {
+            "title_aux": "Comfy-UI on-complete-email-me"
+        }
+    ],
+    "https://github.com/iFREEGROUP/comfyui-undistort": [
+        [
+            "IG_LoadCheckerboardImageForCalibrateCamera",
+            "IG_MatrixAndDistCoefToText",
+            "IG_Undistort"
+        ],
+        {
+            "title_aux": "comfyui-undistort"
+        }
+    ],
+    "https://github.com/icesun963/ComfyUI_HFDownLoad": [
+        [
+            "Apply EasyOCR V2",
+            "HFDownLoad_Tool",
+            "LayerMask: SegmentAnythingUltra V2.1",
+            "LayerUtility: LaMa V2"
+        ],
+        {
+            "author": "chflame",
+            "description": "A set of nodes for ComfyUI that can composite layer and mask to achieve Photoshop like functionality.",
+            "nickname": "LayerStyle",
+            "title": "LayerStyle",
+            "title_aux": "HFDownLoad Node for ComfyUI"
+        }
+    ],
+    "https://github.com/idrirap/ComfyUI-Lora-Auto-Trigger-Words": [
+        [
+            "FusionText",
+            "LoraListNames",
+            "LoraLoaderAdvanced",
+            "LoraLoaderStackedAdvanced",
+            "LoraLoaderStackedVanilla",
+            "LoraLoaderVanilla",
+            "LoraTagsOnly",
+            "Randomizer",
+            "TagsFormater",
+            "TagsSelector",
+            "TextInputBasic"
+        ],
+        {
+            "title_aux": "ComfyUI-Lora-Auto-Trigger-Words"
+        }
+    ],
+    "https://github.com/iemesowum/ComfyUI_IsaacNodes": [
+        [
+            "I_AmplitudeToWeights",
+            "I_BinaryAmplitudeGate",
+            "I_UnmixAudio",
+            "I_WeightsListToWeights"
+        ],
+        {
+            "author": "Isaac Emesowum",
+            "description": "This extension offers automatic drums extraction from audio files, as well as a few helper nodes to support my audio synchronization AnimateDiff workflows.",
+            "nickname": "Isaac's Nodes",
+            "title": "Isaac's Nodes",
+            "title_aux": "Isaac's Nodes"
+        }
+    ],
+    "https://github.com/if-ai/ComfyUI-IF_AI_HFDownloaderNode": [
+        [
+            "IF_HFDownload",
+            "IF_HFDownloadNode"
+        ],
+        {
+            "title_aux": "ComfyUI-IF_AI_HFDownloaderNode"
+        }
+    ],
+    "https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode": [
+        [
+            "IF_WhisperSpeech"
+        ],
+        {
+            "title_aux": "ComfyUI-IF_AI_WishperSpeechNode"
+        }
+    ],
+    "https://github.com/if-ai/ComfyUI-IF_AI_tools": [
+        [
+            "IF_ChatPrompt",
+            "IF_DisplayOmni",
+            "IF_DisplayText",
+            "IF_ImagePrompt",
+            "IF_PromptMkr",
+            "IF_SaveText",
+            "IF_TextTyper",
+            "IF_saveText"
+        ],
+        {
+            "title_aux": "ComfyUI-IF_AI_tools"
+        }
+    ],
+    "https://github.com/ihmily/ComfyUI-Light-Tool": [
+        [
+            "Light-Tool: BoundingBoxCropping",
+            "Light-Tool: ChangeBackground",
+            "Light-Tool: ImageMaskApply",
+            "Light-Tool: ImageOverlay",
+            "Light-Tool: ImageToMask",
+            "Light-Tool: InvertMask",
+            "Light-Tool: MaskBoundingBoxCropping",
+            "Light-Tool: MaskImageToTransparent",
+            "Light-Tool: MaskToImage"
+        ],
+        {
+            "author": "Hmily",
+            "description": "An awesome light image processing tool nodes for ComfyUI.",
+            "nickname": "ComfyUI-Light-Tool",
+            "title": "ComfyUI-Light-Tool",
+            "title_aux": "ComfyUI-Light-Tool"
+        }
+    ],
+    "https://github.com/imb101/ComfyUI-FaceSwap": [
+        [
+            "FaceSwapNode"
+        ],
+        {
+            "title_aux": "FaceSwap"
+        }
+    ],
+    "https://github.com/injet-zhou/comfyui_extra_api": [
+        [
+            "SimpleGenImageInterface"
+        ],
+        {
+            "title_aux": "comfyui_extra_api"
+        }
+    ],
+    "https://github.com/iwanders/ComfyUI_nodes": [
+        [
+            "IW_JsonPickItem",
+            "IW_ModelHook",
+            "IW_StringConcat",
+            "IW_StringFromInt",
+            "IW_StringNode",
+            "IW_StringPrint",
+            "IW_StringReplace",
+            "IW_StringSave",
+            "IW_TokenizerVocab"
+        ],
+        {
+            "title_aux": "iwanders/ComfyUI_nodes"
+        }
+    ],
+    "https://github.com/jags111/ComfyUI_Jags_Audiotools": [
+        [
+            "BatchJoinAudio",
+            "BatchToList",
+            "BitCrushAudioFX",
+            "BulkVariation",
+            "ChorusAudioFX",
+            "ClippingAudioFX",
+            "CompressorAudioFX",
+            "ConcatAudioList",
+            "ConvolutionAudioFX",
+            "CutAudio",
+            "DelayAudioFX",
+            "DistortionAudioFX",
+            "DuplicateAudio",
+            "GainAudioFX",
+            "GenerateAudioSample",
+            "GenerateAudioWave",
+            "GetAudioFromFolderIndex",
+            "GetSingle",
+            "GetStringByIndex",
+            "HighShelfFilter",
+            "HighpassFilter",
+            "ImageToSpectral",
+            "InvertAudioFX",
+            "JoinAudio",
+            "LadderFilter",
+            "LimiterAudioFX",
+            "ListToBatch",
+            "LoadAudioDir",
+            "LoadAudioFile",
+            "LoadAudioModel (DD)",
+            "LoadVST3",
+            "LowShelfFilter",
+            "LowpassFilter",
+            "MP3CompressorAudioFX",
+            "MixAudioTensors",
+            "NoiseGateAudioFX",
+            "OTTAudioFX",
+            "PeakFilter",
+            "PhaserEffectAudioFX",
+            "PitchShiftAudioFX",
+            "PlotSpectrogram",
+            "PreviewAudioFile",
+            "PreviewAudioTensor",
+            "ResampleAudio",
+            "ReverbAudioFX",
+            "ReverseAudio",
+            "SaveAudioTensor",
+            "SequenceVariation",
+            "SliceAudio",
+            "SoundPlayer",
+            "StretchAudio",
+            "samplerate"
+        ],
+        {
+            "author": "jags111",
+            "description": "This extension offers various audio generation tools",
+            "nickname": "Audiotools",
+            "title": "Jags_Audiotools",
+            "title_aux": "Jags_Audiotools"
+        }
+    ],
+    "https://github.com/jags111/ComfyUI_Jags_VectorMagic": [
+        [
+            "CircularVAEDecode",
+            "JagsCLIPSeg",
+            "JagsClipseg",
+            "JagsCombineMasks",
+            "SVG",
+            "YoloSEGdetectionNode",
+            "YoloSegNode",
+            "color_drop",
+            "xy_Tiling_KSampler"
+        ],
+        {
+            "author": "jags111",
+            "description": "This extension offers various vector manipulation and  generation tools",
+            "nickname": "Jags_VectorMagic",
+            "title": "Jags_VectorMagic",
+            "title_aux": "Jags_VectorMagic"
+        }
+    ],
+    "https://github.com/jags111/efficiency-nodes-comfyui": [
+        [
+            "AnimateDiff Script",
+            "Apply ControlNet Stack",
+            "Control Net Stacker",
+            "Eff. Loader SDXL",
+            "Efficient Loader",
+            "HighRes-Fix Script",
+            "Image Overlay",
+            "Join XY Inputs of Same Type",
+            "KSampler (Efficient)",
+            "KSampler Adv. (Efficient)",
+            "KSampler SDXL (Eff.)",
+            "LatentUpscaler",
+            "LoRA Stack to String converter",
+            "LoRA Stacker",
+            "Manual XY Entry Info",
+            "NNLatentUpscale",
+            "Noise Control Script",
+            "Pack SDXL Tuple",
+            "Tiled Upscaler Script",
+            "Unpack SDXL Tuple",
+            "XY Input: Add/Return Noise",
+            "XY Input: Aesthetic Score",
+            "XY Input: CFG Scale",
+            "XY Input: Checkpoint",
+            "XY Input: Clip Skip",
+            "XY Input: Control Net",
+            "XY Input: Control Net Plot",
+            "XY Input: Denoise",
+            "XY Input: LoRA",
+            "XY Input: LoRA Plot",
+            "XY Input: LoRA Stacks",
+            "XY Input: Manual XY Entry",
+            "XY Input: Prompt S/R",
+            "XY Input: Refiner On/Off",
+            "XY Input: Sampler/Scheduler",
+            "XY Input: Seeds++ Batch",
+            "XY Input: Steps",
+            "XY Input: VAE",
+            "XY Plot"
+        ],
+        {
+            "title_aux": "Efficiency Nodes for ComfyUI Version 2.0+"
+        }
+    ],
+    "https://github.com/jakechai/ComfyUI-JakeUpgrade": [
+        [
+            "Animation Prompt JK",
+            "Animation Value JK",
+            "Base Image Parameters Extract JK",
+            "Base Model Parameters Extract JK",
+            "Base Model Parameters JK",
+            "Base Model Pipe Extract JK",
+            "Base Model Pipe JK",
+            "CM_BoolBinaryOperation JK",
+            "CM_BoolToInt JK",
+            "CM_BoolUnaryOperation JK",
+            "CM_BreakoutVec2 JK",
+            "CM_BreakoutVec3 JK",
+            "CM_BreakoutVec4 JK",
+            "CM_ComposeVec2 JK",
+            "CM_ComposeVec3 JK",
+            "CM_ComposeVec4 JK",
+            "CM_FloatBinaryCondition JK",
+            "CM_FloatBinaryOperation JK",
+            "CM_FloatToInt JK",
+            "CM_FloatToNumber JK",
+            "CM_FloatUnaryCondition JK",
+            "CM_FloatUnaryOperation JK",
+            "CM_IntBinaryCondition JK",
+            "CM_IntBinaryOperation JK",
+            "CM_IntToBool JK",
+            "CM_IntToFloat JK",
+            "CM_IntToNumber JK",
+            "CM_IntUnaryCondition JK",
+            "CM_IntUnaryOperation JK",
+            "CM_NumberBinaryCondition JK",
+            "CM_NumberBinaryOperation JK",
+            "CM_NumberToFloat JK",
+            "CM_NumberToInt JK",
+            "CM_NumberUnaryCondition JK",
+            "CM_NumberUnaryOperation JK",
+            "CM_PromptCombine_JK",
+            "CM_StringBinaryCondition_JK",
+            "CM_Vec2BinaryCondition JK",
+            "CM_Vec2BinaryOperation JK",
+            "CM_Vec2FloatOperation_JK",
+            "CM_Vec2ToFloatBinaryOperation JK",
+            "CM_Vec2ToFloatUnaryOperation JK",
+            "CM_Vec2UnaryCondition JK",
+            "CM_Vec2UnaryOperation JK",
+            "CM_Vec3BinaryCondition JK",
+            "CM_Vec3BinaryOperation JK",
+            "CM_Vec3FloatOperation_JK",
+            "CM_Vec3ToFloatBinaryOperation JK",
+            "CM_Vec3ToFloatUnaryOperation JK",
+            "CM_Vec3UnaryCondition JK",
+            "CM_Vec3UnaryOperation JK",
+            "CM_Vec4BinaryCondition JK",
+            "CM_Vec4BinaryOperation JK",
+            "CM_Vec4FloatOperation_JK",
+            "CM_Vec4ToFloatBinaryOperation JK",
+            "CM_Vec4ToFloatUnaryOperation JK",
+            "CM_Vec4UnaryCondition JK",
+            "CM_Vec4UnaryOperation JK",
+            "CR Apply ControlNet JK",
+            "CR Apply Multi-ControlNet JK",
+            "CR Boolean JK",
+            "CR Clip Input Switch JK",
+            "CR Conditioning Input Switch JK",
+            "CR ControlNet Input Switch JK",
+            "CR Float Input Switch JK",
+            "CR Image Input Switch JK",
+            "CR Impact Pipe Input Switch JK",
+            "CR Int Input Switch JK",
+            "CR Latent Input Switch JK",
+            "CR LoRA Stack JK",
+            "CR Load LoRA JK",
+            "CR Mask Input Switch JK",
+            "CR Mesh Input Switch JK",
+            "CR Model Input Switch JK",
+            "CR Multi-ControlNet Stack JK",
+            "CR Obit Pose Input Switch JK",
+            "CR Orbit Pose Input Switch JK",
+            "CR Pipe Input Switch JK",
+            "CR Ply Input Switch JK",
+            "CR SD1.5 Aspect Ratio JK",
+            "CR SDXL Aspect Ratio JK",
+            "CR Switch Model and CLIP JK",
+            "CR Text Input Switch JK",
+            "CR VAE Input Switch JK",
+            "CR_Apply Multi-ControlNet SD3 JK",
+            "Ckpt Loader JK",
+            "Detailer Parameters JK",
+            "Embedding Picker JK",
+            "Embedding Picker Multi JK",
+            "Evaluate Examples JK",
+            "Evaluate Floats JK",
+            "Evaluate Ints JK",
+            "Evaluate Strings JK",
+            "HintImageEnchance JK",
+            "Image Upscale Parameters Extract JK",
+            "Ksampler Parameters JK",
+            "Latent Upscale Parameters Extract JK",
+            "Load Image With Metadata JK",
+            "Metadata Pipe Extract JK",
+            "Metadata Pipe JK",
+            "NodesState JK",
+            "Noise Injection Parameters JK",
+            "Noise Injection Pipe Extract JK",
+            "Orbit Poses JK",
+            "OrbitLists to OrbitPoses JK",
+            "OrbitPoses to OrbitLists JK",
+            "Pipe End JK",
+            "Project Setting JK",
+            "Random Beats JK",
+            "Refine 1 Parameters Extract JK",
+            "Refine 2 Parameters Extract JK",
+            "Refine Model Parameters JK",
+            "Refine Pipe Extract JK",
+            "Refine Pipe JK",
+            "Reroute Ckpt JK",
+            "Reroute List JK",
+            "Reroute Resize JK",
+            "Reroute Sampler JK",
+            "Reroute String JK",
+            "Reroute Upscale JK",
+            "Reroute Vae JK",
+            "SDXLPromptStylerAll",
+            "SDXLPromptStylerHorror",
+            "SDXLPromptStylerMisc",
+            "SDXLPromptStylerbyArtist",
+            "SDXLPromptStylerbyCamera",
+            "SDXLPromptStylerbyComposition",
+            "SDXLPromptStylerbyCyberpunkSurrealism",
+            "SDXLPromptStylerbyDepth",
+            "SDXLPromptStylerbyDiva",
+            "SDXLPromptStylerbyEnvironment",
+            "SDXLPromptStylerbyFantasySetting",
+            "SDXLPromptStylerbyFilter",
+            "SDXLPromptStylerbyFocus",
+            "SDXLPromptStylerbyFooocus",
+            "SDXLPromptStylerbyImpressionism",
+            "SDXLPromptStylerbyLighting",
+            "SDXLPromptStylerbyMarc",
+            "SDXLPromptStylerbyMileHigh",
+            "SDXLPromptStylerbyMood",
+            "SDXLPromptStylerbyMre",
+            "SDXLPromptStylerbyMythicalCreature",
+            "SDXLPromptStylerbyOriginal",
+            "SDXLPromptStylerbyQuantumRealism",
+            "SDXLPromptStylerbySai",
+            "SDXLPromptStylerbySteamPunkRealism",
+            "SDXLPromptStylerbySubject",
+            "SDXLPromptStylerbySurrealism",
+            "SDXLPromptStylerbyTheme",
+            "SDXLPromptStylerbyTimeofDay",
+            "SDXLPromptStylerbyTwri",
+            "SDXLPromptStylerbyWyvern",
+            "SDXLPromptbyCelticArt",
+            "SDXLPromptbyContemporaryNordicArt",
+            "SDXLPromptbyFashionArt",
+            "SDXLPromptbyGothicRevival",
+            "SDXLPromptbyIrishFolkArt",
+            "SDXLPromptbyRomanticNationalismArt",
+            "SDXLPromptbySportsArt",
+            "SDXLPromptbyStreetArt",
+            "SDXLPromptbyVikingArt",
+            "SDXLPromptbyWildlifeArt",
+            "Sampler Loader JK",
+            "Save Image with Metadata Flow JK",
+            "Save Image with Metadata JK",
+            "Upscale Model Loader JK",
+            "Upscale Model Parameters Extract JK",
+            "Upscale Model Parameters JK",
+            "Vae Loader JK"
+        ],
+        {
+            "title_aux": "ComfyUI-JakeUpgrade"
+        }
+    ],
+    "https://github.com/jamal-alkharrat/ComfyUI_rotate_image": [
+        [
+            "RotateImage"
+        ],
+        {
+            "title_aux": "ComfyUI_rotate_image"
+        }
+    ],
+    "https://github.com/jamesWalker55/comfyui-p2ldgan": [
+        [
+            "P2LDGAN"
+        ],
+        {
+            "title_aux": "ComfyUI - P2LDGAN Node"
+        }
+    ],
+    "https://github.com/jamesWalker55/comfyui-various": [
+        [
+            "BatchLoadImage",
+            "BatchSaveImage",
+            "GroupInfoExtractFloat",
+            "GroupInfoExtractInt",
+            "GroupLoadBatchImages",
+            "GroupLoadImage",
+            "JWDatetimeString",
+            "JWImageBatchCount",
+            "JWImageContrast",
+            "JWImageExtractFromBatch",
+            "JWImageFlip",
+            "JWImageLevels",
+            "JWImageLoadRGB",
+            "JWImageLoadRGBA",
+            "JWImageLoadRGBA From Clipboard",
+            "JWImageLoadRGBFromClipboard",
+            "JWImageLoadRGBIfExists",
+            "JWImageMix",
+            "JWImageResize",
+            "JWImageResizeByFactor",
+            "JWImageResizeByLongerSide",
+            "JWImageResizeByShorterSide",
+            "JWImageResizeToSquare",
+            "JWImageSaturation",
+            "JWImageSaveToPath",
+            "JWImageSequenceExtractFromBatch",
+            "JWImageStackChannels",
+            "JWInfoHashExtractFloat",
+            "JWInfoHashExtractInteger",
+            "JWInfoHashExtractString",
+            "JWInfoHashFromInfoHashList",
+            "JWInfoHashFromRangedInfo",
+            "JWInfoHashListExtractStringList",
+            "JWInfoHashListFromRangedInfo",
+            "JWInfoHashPrint",
+            "JWLoadImageSequence",
+            "JWLoadImagesFromString",
+            "JWLoopImageSequence",
+            "JWMaskLikeImageSize",
+            "JWMaskResize",
+            "JWMaskSequenceApplyToLatent",
+            "JWMaskSequenceFromMask",
+            "JWMaskSequenceJoin",
+            "JWPrintFloat",
+            "JWPrintImage",
+            "JWPrintInteger",
+            "JWPrintLatent",
+            "JWPrintMask",
+            "JWPrintString",
+            "JWRangedInfoCalculateSubBatch",
+            "JWReferenceOnly",
+            "JWSaveImageSequence",
+            "JWStringListCLIPEncode",
+            "JWStringListFromString",
+            "JWStringListFromStrings",
+            "JWStringListJoin",
+            "JWStringListRepeat",
+            "JWStringListToFormatedString",
+            "JWStringListToString",
+            "JWUncropCrop",
+            "JWUncropNewRect",
+            "JWUncropUncrop",
+            "JamesLoadImageGroup",
+            "RAFTEstimate",
+            "RAFTFlowToImage",
+            "RAFTLoadFlowFromEXRChannels",
+            "RCReceiveFloat",
+            "RCReceiveFloatList",
+            "RCReceiveInt",
+            "RCReceiveIntList",
+            "RCReceiveLatent",
+            "RCSendLatent"
+        ],
+        {
+            "nodename_pattern": "^JW",
+            "title_aux": "Various ComfyUI Nodes by Type"
+        }
+    ],
+    "https://github.com/jax-explorer/fast_video_comfyui": [
+        [
+            "FastImageListToImageBatch"
+        ],
+        {
+            "title_aux": "fast_video_comfyui"
+        }
+    ],
+    "https://github.com/jeffy5/comfyui-faceless-node": [
+        [
+            "FacelessFaceRestore",
+            "FacelessFaceSwap",
+            "FacelessLoadImageUrl",
+            "FacelessLoadVideo",
+            "FacelessLoadVideoImages",
+            "FacelessLoadVideoUrl",
+            "FacelessMergeVideos",
+            "FacelessRemoveBackground",
+            "FacelessSaveVideo",
+            "FacelessUploadVideo",
+            "FacelessVideoFaceRestore",
+            "FacelessVideoFaceSwap",
+            "FacelessVideoRemoveBackground"
+        ],
+        {
+            "title_aux": "Faceless Node for ComfyUI"
+        }
+    ],
+    "https://github.com/jesenzhang/ComfyUI_StreamDiffusion": [
+        [
+            "StreamDiffusion_Loader",
+            "StreamDiffusion_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_StreamDiffusion"
+        }
+    ],
+    "https://github.com/jiaxiangc/ComfyUI-ResAdapter": [
+        [
+            "ResAdapterLoader"
+        ],
+        {
+            "title_aux": "ResAdapter for ComfyUI"
+        }
+    ],
+    "https://github.com/jitcoder/lora-info": [
+        [
+            "ImageFromURL",
+            "LoraInfo"
+        ],
+        {
+            "title_aux": "LoraInfo"
+        }
+    ],
+    "https://github.com/jjkramhoeft/ComfyUI-Jjk-Nodes": [
+        [
+            "JjkConcat",
+            "JjkShowText",
+            "JjkText",
+            "SDXLRecommendedImageSize"
+        ],
+        {
+            "title_aux": "ComfyUI-Jjk-Nodes"
+        }
+    ],
+    "https://github.com/jkrauss82/ultools-comfyui": [
+        [
+            "CLIPTextEncodeWithStats",
+            "OpenPoseEditorAdv",
+            "SaveImgAdv",
+            "SolidMaskAdv"
+        ],
+        {
+            "title_aux": "ULTools for ComfyUI"
+        }
+    ],
+    "https://github.com/jn-jairo/jn_comfyui": [
+        [
+            "JN_AreaAround",
+            "JN_AreaInfo",
+            "JN_AreaNormalize",
+            "JN_AreaToMask",
+            "JN_AreaWidthHeight",
+            "JN_AreaXY",
+            "JN_AudioArrayToBatch",
+            "JN_AudioAutoTune",
+            "JN_AudioBatchToArray",
+            "JN_AudioCompare",
+            "JN_AudioConcatenation",
+            "JN_AudioGetChannels",
+            "JN_AudioInfo",
+            "JN_AudioNoiseReduction",
+            "JN_AudioNormalize",
+            "JN_AudioPitch",
+            "JN_AudioPlot",
+            "JN_AudioReverberation",
+            "JN_AudioSampleRate",
+            "JN_AudioSetChannels",
+            "JN_AudioSlice",
+            "JN_AudioSpeed",
+            "JN_AudioSplitChannels",
+            "JN_AudioStackChannels",
+            "JN_AudioTempo",
+            "JN_AudioTrimSilence",
+            "JN_AudioVolume",
+            "JN_Blip",
+            "JN_BlipLoader",
+            "JN_BooleanOperation",
+            "JN_Condition",
+            "JN_CoolDown",
+            "JN_CoolDownOutput",
+            "JN_DatetimeFormat",
+            "JN_DatetimeInfo",
+            "JN_DatetimeNow",
+            "JN_Dump",
+            "JN_DumpOutput",
+            "JN_Exec",
+            "JN_ExecOutput",
+            "JN_FaceCrop",
+            "JN_FaceRestoreModelLoader",
+            "JN_FaceRestoreWithModel",
+            "JN_FirstActive",
+            "JN_Flow",
+            "JN_FlowOutput",
+            "JN_ImageAddBackground",
+            "JN_ImageAddMask",
+            "JN_ImageBatch",
+            "JN_ImageCenterArea",
+            "JN_ImageCrop",
+            "JN_ImageGrid",
+            "JN_ImageInfo",
+            "JN_ImageRemoveBackground",
+            "JN_ImageSharpness",
+            "JN_ImageSquare",
+            "JN_ImageToMask",
+            "JN_ImageUncrop",
+            "JN_KSampler",
+            "JN_KSamplerAdvancedParams",
+            "JN_KSamplerFaceRestoreParams",
+            "JN_KSamplerResizeInputParams",
+            "JN_KSamplerResizeMaskAreaParams",
+            "JN_KSamplerResizeOutputParams",
+            "JN_KSamplerSeamlessParams",
+            "JN_KSamplerTileParams",
+            "JN_KeyValue",
+            "JN_LoadAudioDirectory",
+            "JN_LoadImageDirectory",
+            "JN_LogicOperation",
+            "JN_MaskBatch",
+            "JN_MaskInfo",
+            "JN_MaskToArea",
+            "JN_MaskToImage",
+            "JN_MathOperation",
+            "JN_MathOperationArray",
+            "JN_MeowHrtfAudio3d",
+            "JN_MeowHrtfModel",
+            "JN_MeowHrtfPosition",
+            "JN_MeowLoadVoice",
+            "JN_MeowSaveVoice",
+            "JN_MeowSentenceSplit",
+            "JN_MeowTts",
+            "JN_MeowTtsAudioToContext",
+            "JN_MeowTtsCoarse",
+            "JN_MeowTtsDecode",
+            "JN_MeowTtsFine",
+            "JN_MeowTtsLoadContext",
+            "JN_MeowTtsModel",
+            "JN_MeowTtsModelCoarse",
+            "JN_MeowTtsModelEncodec",
+            "JN_MeowTtsModelFine",
+            "JN_MeowTtsModelHubert",
+            "JN_MeowTtsModelSemantic",
+            "JN_MeowTtsSaveContext",
+            "JN_MeowTtsSemantic",
+            "JN_MeowTtsTokenizerHubert",
+            "JN_MeowVc",
+            "JN_MeowVcConvertVoice",
+            "JN_MeowVcEncodeSource",
+            "JN_MeowVcEncodeTarget",
+            "JN_MeowVcLoadSpeaker",
+            "JN_MeowVcModelFreeVC",
+            "JN_MeowVcModelWavLM",
+            "JN_MeowVcSaveSpeaker",
+            "JN_PreviewAudio",
+            "JN_PreviewImage",
+            "JN_PreviewMask",
+            "JN_PrimitiveArrayInfo",
+            "JN_PrimitiveBatchToArray",
+            "JN_PrimitiveBoolean",
+            "JN_PrimitiveFloat",
+            "JN_PrimitiveInt",
+            "JN_PrimitivePrompt",
+            "JN_PrimitiveString",
+            "JN_PrimitiveStringMultiline",
+            "JN_PrimitiveStringToArray",
+            "JN_PrimitiveToArray",
+            "JN_PrimitiveToBoolean",
+            "JN_PrimitiveToFloat",
+            "JN_PrimitiveToInt",
+            "JN_PrimitiveToString",
+            "JN_RemBGSession",
+            "JN_SaveAudio",
+            "JN_SaveImage",
+            "JN_Seamless",
+            "JN_SeamlessBorder",
+            "JN_SeamlessBorderCrop",
+            "JN_SelectItem",
+            "JN_Sleep",
+            "JN_SleepOutput",
+            "JN_SliceOperation",
+            "JN_StopIf",
+            "JN_StopIfOutput",
+            "JN_TensorInfo",
+            "JN_TextConcatenation",
+            "JN_TextReplace",
+            "JN_TimedeltaFormat",
+            "JN_TimedeltaInfo"
+        ],
+        {
+            "title_aux": "JNComfy"
+        }
+    ],
+    "https://github.com/john-mnz/ComfyUI-Inspyrenet-Rembg": [
+        [
+            "InspyrenetRembg",
+            "InspyrenetRembgAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI-Inspyrenet-Rembg"
+        }
+    ],
+    "https://github.com/jojkaart/ComfyUI-sampler-lcm-alternative": [
+        [
+            "LCMScheduler",
+            "SamplerLCMAlternative",
+            "SamplerLCMCycle",
+            "SamplerLCMDualNoise",
+            "SamplerLCMDuoFusion",
+            "SamplerLCMParallel"
+        ],
+        {
+            "title_aux": "ComfyUI-sampler-lcm-alternative"
+        }
+    ],
+    "https://github.com/jordoh/ComfyUI-Deepface": [
+        [
+            "DeepfaceExtractFaces",
+            "DeepfaceVerify"
+        ],
+        {
+            "title_aux": "ComfyUI Deepface"
+        }
+    ],
+    "https://github.com/jroc22/ComfyUI-CSV-prompt-builder": [
+        [
+            "BuildPromptFromCSV"
+        ],
+        {
+            "title_aux": "ComfyUI-CSV-prompt-builder"
+        }
+    ],
+    "https://github.com/jstit/comfyui_custom_node_image": [
+        [
+            "ImageCropCircle"
+        ],
+        {
+            "title_aux": "comfyui_custom_node_image"
+        }
+    ],
+    "https://github.com/jtrue/ComfyUI-JaRue": [
+        [
+            "Text2Image_jru",
+            "YouTube2Prompt_jru"
+        ],
+        {
+            "nodename_pattern": "_jru$",
+            "title_aux": "ComfyUI-JaRue"
+        }
+    ],
+    "https://github.com/jtydhr88/ComfyUI-LayerDivider": [
+        [
+            "LayerDivider - Color Base",
+            "LayerDivider - Divide Layer",
+            "LayerDivider - Load SAM Mask Generator",
+            "LayerDivider - Segment Mask"
+        ],
+        {
+            "title_aux": "ComfyUI LayerDivider"
+        }
+    ],
+    "https://github.com/jtydhr88/ComfyUI-Unique3D": [
+        [
+            "Unique3DLoadPipeline",
+            "Unique3DRun - Geo Reconstruct",
+            "Unique3DRun - MVPrediction"
+        ],
+        {
+            "title_aux": "ComfyUI Unique3D"
+        }
+    ],
+    "https://github.com/justUmen/Bjornulf_custom_nodes": [
+        [
+            "Bjornulf_CheckBlackImage",
+            "Bjornulf_ClearVRAM",
+            "Bjornulf_CombineBackgroundOverlay",
+            "Bjornulf_CombineTexts",
+            "Bjornulf_CustomStringType",
+            "Bjornulf_GrayscaleTransform",
+            "Bjornulf_GreenScreenToTransparency",
+            "Bjornulf_ImageMaskCutter",
+            "Bjornulf_LoadImageWithTransparency",
+            "Bjornulf_LoopAllLines",
+            "Bjornulf_LoopBasicBatch",
+            "Bjornulf_LoopCombosSamplersSchedulers",
+            "Bjornulf_LoopFloat",
+            "Bjornulf_LoopInteger",
+            "Bjornulf_LoopSamplers",
+            "Bjornulf_LoopSchedulers",
+            "Bjornulf_LoopTexts",
+            "Bjornulf_RandomLineFromInput",
+            "Bjornulf_RandomModelClipVae",
+            "Bjornulf_RandomTexts",
+            "Bjornulf_RemoveTransparency",
+            "Bjornulf_ResizeImage",
+            "Bjornulf_SaveApiImage",
+            "Bjornulf_SaveBjornulfLobeChat",
+            "Bjornulf_SaveImagePath",
+            "Bjornulf_SaveImageToFolder",
+            "Bjornulf_SaveText",
+            "Bjornulf_SaveTmpImage",
+            "Bjornulf_ShowFloat",
+            "Bjornulf_ShowInt",
+            "Bjornulf_ShowText",
+            "Bjornulf_TextToStringAndSeed",
+            "Bjornulf_VideoPingPong",
+            "Bjornulf_WriteImageAllInOne",
+            "Bjornulf_WriteImageCharacter",
+            "Bjornulf_WriteImageCharacters",
+            "Bjornulf_WriteImageEnvironment",
+            "Bjornulf_WriteText",
+            "Bjornulf_imagesToVideo",
+            "Bjornulf_ollamaLoader"
+        ],
+        {
+            "title_aux": "Bjornulf_custom_nodes"
+        }
+    ],
+    "https://github.com/k-komarov/comfyui-bunny-cdn-storage": [
+        [
+            "Save Image to BunnyStorage"
+        ],
+        {
+            "title_aux": "comfyui-bunny-cdn-storage"
+        }
+    ],
+    "https://github.com/ka-puna/comfyui-yanc": [
+        [
+            "YANC.ConcatStrings",
+            "YANC.FormatDatetimeString",
+            "YANC.GetWidgetValueString",
+            "YANC.IntegerCaster",
+            "YANC.MultilineString",
+            "YANC.SaveImageWEBP",
+            "YANC.TruncateString"
+        ],
+        {
+            "title_aux": "comfyui-yanc"
+        }
+    ],
+    "https://github.com/kaanyalova/ComfyUI_ExtendedImageFormats": [
+        [
+            "ExtendedSaveImage"
+        ],
+        {
+            "title_aux": "Extended Image Formats for ComfyUI"
+        }
+    ],
+    "https://github.com/kadirnar/ComfyUI-Transformers": [
+        [
+            "DepthEstimationInference",
+            "ImageClassificationPipeline",
+            "ImageSegmentationPipeline",
+            "LoadDepthModel",
+            "ObjectDetectionPipeline"
+        ],
+        {
+            "title_aux": "ComfyUI-Transformers"
+        }
+    ],
+    "https://github.com/kadirnar/ComfyUI-YOLO": [
+        [
+            "BBoxToCoco",
+            "BBoxToXYWH",
+            "BBoxVisNode",
+            "CocoToNumber",
+            "ConvertToDict",
+            "CustomUltralyticsModelLoader",
+            "GetImageSize",
+            "ImageResizeAdvanced",
+            "UltralyticsInference",
+            "UltralyticsModelLoader",
+            "UltralyticsVisualization",
+            "ViewText"
+        ],
+        {
+            "title_aux": "ComfyUI-YOLO"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-path-util": [
+        [
+            "path_util_PathAbspath",
+            "path_util_PathBasename",
+            "path_util_PathDirname",
+            "path_util_PathExists",
+            "path_util_PathIsdir",
+            "path_util_PathIsfile",
+            "path_util_PathJoin",
+            "path_util_PathRelpath",
+            "path_util_PathSplitext"
+        ],
+        {
+            "title_aux": "ComfyUI_demucus"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-speech-dataset-toolkit": [
+        [
+            "SDT_AudioProperty",
+            "SDT_ConcatAudio",
+            "SDT_CutAudio",
+            "SDT_DemucsApply",
+            "SDT_DemucsLoader",
+            "SDT_FasterWhisperListSegments",
+            "SDT_FasterWhisperLoader",
+            "SDT_FasterWhisperSegmentProperty",
+            "SDT_FasterWhisperTextFromSegments",
+            "SDT_FasterWhisperTranscribe",
+            "SDT_GriffinLim",
+            "SDT_JoinAudio",
+            "SDT_KotobaWhisperListSegments",
+            "SDT_KotobaWhisperLoaderLong",
+            "SDT_KotobaWhisperLoaderShort",
+            "SDT_KotobaWhisperSegmentProperty",
+            "SDT_KotobaWhisperTranscribeLong",
+            "SDT_KotobaWhisperTranscribeShort",
+            "SDT_LFCC",
+            "SDT_LoadAudio",
+            "SDT_LoadAudios",
+            "SDT_MFCC",
+            "SDT_MakeSilenceAudio",
+            "SDT_MelSpectrogram",
+            "SDT_NemoAsrListSegments",
+            "SDT_NemoAsrListSubwords",
+            "SDT_NemoAsrLoader",
+            "SDT_NemoAsrSegmentProperty",
+            "SDT_NemoAsrSubwordProperty",
+            "SDT_NemoAsrTranscribe",
+            "SDT_NueAsrLoader",
+            "SDT_NueAsrTranscribe",
+            "SDT_PlayAudio",
+            "SDT_PlotMelFilterBank",
+            "SDT_PlotPitch",
+            "SDT_PlotSpecgram",
+            "SDT_PlotSpectrogram",
+            "SDT_PlotWaveForm",
+            "SDT_ResampleAudio",
+            "SDT_SaveAudio",
+            "SDT_SaveAudioWithSequentialNumbering",
+            "SDT_SilenceAudio",
+            "SDT_SileroVADApply",
+            "SDT_SileroVADCollectChunks",
+            "SDT_SileroVADListTimestamps",
+            "SDT_SileroVADLoader",
+            "SDT_SileroVADTimestampProperty",
+            "SDT_Spectrogram",
+            "SDT_SpeechMOSLoader",
+            "SDT_SpeechMOSScore",
+            "SDT_SplitAudio",
+            "SDT_TrimAudio",
+            "SDT_TrimAudioBySample"
+        ],
+        {
+            "title_aux": "ComfyUI-speech-dataset-toolkit"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-string-util": [
+        [
+            "string_util_Str",
+            "string_util_StrConcat",
+            "string_util_StrCount",
+            "string_util_StrEndsWith",
+            "string_util_StrEqual",
+            "string_util_StrFind",
+            "string_util_StrFormat",
+            "string_util_StrJoin",
+            "string_util_StrLen",
+            "string_util_StrLower",
+            "string_util_StrLstrip",
+            "string_util_StrNotEqual",
+            "string_util_StrReplace",
+            "string_util_StrRstrip",
+            "string_util_StrSlice",
+            "string_util_StrSplit",
+            "string_util_StrStartsWith",
+            "string_util_StrStrip",
+            "string_util_StrUpper"
+        ],
+        {
+            "title_aux": "ComfyUI-string-util"
+        }
+    ],
+    "https://github.com/kale4eat/ComfyUI-text-file-util": [
+        [
+            "text_file_util_ReadAllLines",
+            "text_file_util_ReadAllText",
+            "text_file_util_WriteText",
+            "text_file_util_WriteTextLines",
+            "text_file_util_WriteTextWithSequentialNumbering"
+        ],
+        {
+            "title_aux": "ComfyUI-text-file-util"
+        }
+    ],
+    "https://github.com/kappa54m/ComfyUI_Usability": [
+        [
+            "KLoadImageByPath",
+            "KLoadImageByPathAdvanced",
+            "KLoadImageDedup"
+        ],
+        {
+            "title_aux": "ComfyUI Usability"
+        }
+    ],
+    "https://github.com/katalist-ai/comfyUI-nsfw-detection": [
+        [
+            "NudenetDetector"
+        ],
+        {
+            "title_aux": "comfyUI-nsfw-detection"
+        }
+    ],
+    "https://github.com/kealiu/ComfyUI-S3-Tools": [
+        [
+            "Load Image From S3",
+            "Save Image To S3"
+        ],
+        {
+            "title_aux": "ComfyUI Load and Save file to S3"
+        }
+    ],
+    "https://github.com/kealiu/ComfyUI-Zero123-Porting": [
+        [
+            "Zero123: Image Preprocess",
+            "Zero123: Image Rotate in 3D"
+        ],
+        {
+            "title_aux": "ComfyUI-Zero123-Porting"
+        }
+    ],
+    "https://github.com/kealiu/ComfyUI-ZeroShot-MTrans": [
+        [
+            "ZeST: Grayout Subject"
+        ],
+        {
+            "title_aux": "ComfyUI-ZeroShot-MTrans"
+        }
+    ],
+    "https://github.com/kenjiqq/qq-nodes-comfyui": [
+        [
+            "Any List",
+            "Any List Iterator",
+            "Any To Any",
+            "Axis Pack",
+            "Axis To Any",
+            "Axis Unpack",
+            "Load Lines From Text File",
+            "Slice List",
+            "Text Splitter",
+            "XY Grid Accumulator",
+            "XY Grid Helper"
+        ],
+        {
+            "title_aux": "qq-nodes-comfyui"
+        }
+    ],
+    "https://github.com/kft334/Knodes": [
+        [
+            "Image(s) To Websocket (Base64)",
+            "ImageOutput",
+            "Load Image (Base64)",
+            "Load Images (Base64)"
+        ],
+        {
+            "title_aux": "Knodes"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-ADMotionDirector": [
+        [
+            "ADMD_AdditionalModelSelect",
+            "ADMD_CheckpointLoader",
+            "ADMD_ComfyModelLoader",
+            "ADMD_DiffusersLoader",
+            "ADMD_InitializeTraining",
+            "ADMD_LoadLora",
+            "ADMD_MakeBatchList",
+            "ADMD_SaveLora",
+            "ADMD_TrainLora",
+            "ADMD_ValidationSampler",
+            "ADMD_ValidationSettings"
+        ],
+        {
+            "title_aux": "Animatediff MotionLoRA Trainer"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-APISR-KJ": [
+        [
+            "APISR_upscale"
+        ],
+        {
+            "title_aux": "ComfyUI-APISR"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-BrushNet-Wrapper": [
+        [
+            "brushnet_ella_loader",
+            "brushnet_ipadapter_matteo",
+            "brushnet_model_loader",
+            "brushnet_sampler",
+            "brushnet_sampler_ella",
+            "powerpaint_brushnet_sampler"
+        ],
+        {
+            "title_aux": "ComfyUI-BrushNet-Wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-CCSR": [
+        [
+            "CCSR_Model_Select",
+            "CCSR_Upscale",
+            "DownloadAndLoadCCSRModel"
+        ],
+        {
+            "title_aux": "ComfyUI-CCSR"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-CogVideoXWrapper": [
+        [
+            "CogVideoDecode",
+            "CogVideoImageEncode",
+            "CogVideoSampler",
+            "CogVideoTextEncode",
+            "DownloadAndLoadCogVideoModel"
+        ],
+        {
+            "title_aux": "ComfyUI CogVideoX Wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-ControlNeXt-SVD": [
+        [
+            "ControlNextDecode",
+            "ControlNextDiffusersScheduler",
+            "ControlNextGetPoses",
+            "ControlNextSVDApply",
+            "ControlNextSampler",
+            "DownloadAndLoadControlNeXt"
+        ],
+        {
+            "title_aux": "ComfyUI nodes for ControlNext-SVD v2"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DDColor": [
+        [
+            "DDColor_Colorize"
+        ],
+        {
+            "title_aux": "ComfyUI-DDColor"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DepthAnythingV2": [
+        [
+            "DepthAnything_V2",
+            "DownloadAndLoadDepthAnythingV2Model"
+        ],
+        {
+            "title_aux": "ComfyUI-DepthAnythingV2"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DiffusionLight": [
+        [
+            "chrome_ball_to_envmap",
+            "exposure_to_hdr"
+        ],
+        {
+            "title_aux": "DiffusionLight implementation for ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-DynamiCrafterWrapper": [
+        [
+            "DownloadAndLoadCLIPModel",
+            "DownloadAndLoadCLIPVisionModel",
+            "DownloadAndLoadDynamiCrafterCNModel",
+            "DownloadAndLoadDynamiCrafterModel",
+            "DynamiCrafterBatchInterpolation",
+            "DynamiCrafterCNLoader",
+            "DynamiCrafterControlnetApply",
+            "DynamiCrafterI2V",
+            "DynamiCrafterLoadInitNoise",
+            "DynamiCrafterModelLoader",
+            "ToonCrafterDecode",
+            "ToonCrafterInterpolation"
+        ],
+        {
+            "title_aux": "ComfyUI-DynamiCrafterWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-ELLA-wrapper": [
+        [
+            "diffusers_model_loader",
+            "diffusers_sampler",
+            "ella_model_loader",
+            "ella_sampler",
+            "ella_t5_embeds"
+        ],
+        {
+            "title_aux": "ComfyUI-ELLA-wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-Florence2": [
+        [
+            "DownloadAndLoadFlorence2Lora",
+            "DownloadAndLoadFlorence2Model",
+            "Florence2ModelLoader",
+            "Florence2Run"
+        ],
+        {
+            "title_aux": "ComfyUI-Florence2"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-FluxTrainer": [
+        [
+            "ExtractFluxLoRA",
+            "FluxKohyaInferenceSampler",
+            "FluxTrainEnd",
+            "FluxTrainLoop",
+            "FluxTrainModelSelect",
+            "FluxTrainResume",
+            "FluxTrainSave",
+            "FluxTrainSaveModel",
+            "FluxTrainValidate",
+            "FluxTrainValidationSettings",
+            "InitFluxLoRATraining",
+            "InitFluxTraining",
+            "OptimizerConfig",
+            "OptimizerConfigAdafactor",
+            "OptimizerConfigProdigy",
+            "TrainDatasetAdd",
+            "TrainDatasetGeneralConfig",
+            "UploadToHuggingFace",
+            "VisualizeLoss"
+        ],
+        {
+            "title_aux": "ComfyUI Flux Trainer"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-Geowizard": [
+        [
+            "geowizard_model_loader",
+            "geowizard_sampler"
+        ],
+        {
+            "title_aux": "Geowizard depth and normal estimation in ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-IC-Light": [
+        [
+            "BackgroundScaler",
+            "CalculateNormalsFromImages",
+            "DetailTransfer",
+            "ICLightConditioning",
+            "LightSource",
+            "LoadAndApplyICLightUnet",
+            "LoadHDRImage"
+        ],
+        {
+            "title_aux": "ComfyUI-IC-Light"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-KJNodes": [
+        [
+            "AddLabel",
+            "AppendInstanceDiffusionTracking",
+            "BatchCLIPSeg",
+            "BatchCropFromMask",
+            "BatchCropFromMaskAdvanced",
+            "BatchUncrop",
+            "BatchUncropAdvanced",
+            "BboxToInt",
+            "BboxVisualize",
+            "CameraPoseVisualizer",
+            "CheckpointPerturbWeights",
+            "ColorMatch",
+            "ColorToMask",
+            "CondPassThrough",
+            "ConditioningMultiCombine",
+            "ConditioningSetMaskAndCombine",
+            "ConditioningSetMaskAndCombine3",
+            "ConditioningSetMaskAndCombine4",
+            "ConditioningSetMaskAndCombine5",
+            "CreateAudioMask",
+            "CreateFadeMask",
+            "CreateFadeMaskAdvanced",
+            "CreateFluidMask",
+            "CreateGradientFromCoords",
+            "CreateGradientMask",
+            "CreateInstanceDiffusionTracking",
+            "CreateMagicMask",
+            "CreateShapeImageOnPath",
+            "CreateShapeMask",
+            "CreateShapeMaskOnPath",
+            "CreateTextMask",
+            "CreateTextOnPath",
+            "CreateVoronoiMask",
+            "CrossFadeImages",
+            "CustomSigmas",
+            "DifferentialDiffusionAdvanced",
+            "DownloadAndLoadCLIPSeg",
+            "DrawInstanceDiffusionTracking",
+            "DummyOut",
+            "EmptyLatentImagePresets",
+            "FilterZeroMasksAndCorrespondingImages",
+            "FlipSigmasAdjusted",
+            "FloatConstant",
+            "FloatToMask",
+            "FloatToSigmas",
+            "FluxBlockLoraLoader",
+            "FluxBlockLoraSelect",
+            "GLIGENTextBoxApplyBatchCoords",
+            "GenerateNoise",
+            "GetImageRangeFromBatch",
+            "GetImageSizeAndCount",
+            "GetImagesFromBatchIndexed",
+            "GetLatentsFromBatchIndexed",
+            "GetMaskSizeAndCount",
+            "GradientToFloat",
+            "GrowMaskWithBlur",
+            "INTConstant",
+            "ImageAddMulti",
+            "ImageAndMaskPreview",
+            "ImageBatchMulti",
+            "ImageBatchRepeatInterleaving",
+            "ImageBatchTestPattern",
+            "ImageConcanate",
+            "ImageConcatFromBatch",
+            "ImageConcatMulti",
+            "ImageGrabPIL",
+            "ImageGridComposite2x2",
+            "ImageGridComposite3x3",
+            "ImageGridtoBatch",
+            "ImageNormalize_Neg1_To_1",
+            "ImagePadForOutpaintMasked",
+            "ImagePadForOutpaintTargetSize",
+            "ImagePass",
+            "ImageResizeKJ",
+            "ImageTransformByNormalizedAmplitude",
+            "ImageUpscaleWithModelBatched",
+            "InjectNoiseToLatent",
+            "InsertImageBatchByIndexes",
+            "InsertImagesToBatchIndexed",
+            "InterpolateCoords",
+            "Intrinsic_lora_sampling",
+            "JoinStringMulti",
+            "JoinStrings",
+            "LoadAndResizeImage",
+            "LoadImagesFromFolderKJ",
+            "LoadResAdapterNormalization",
+            "MaskBatchMulti",
+            "MaskOrImageToWeight",
+            "MergeImageChannels",
+            "ModelPassThrough",
+            "NormalizedAmplitudeToFloatList",
+            "NormalizedAmplitudeToMask",
+            "OffsetMask",
+            "OffsetMaskByNormalizedAmplitude",
+            "PlotCoordinates",
+            "PointsEditor",
+            "PreviewAnimation",
+            "RemapImageRange",
+            "RemapMaskRange",
+            "ReplaceImagesInBatch",
+            "ResizeMask",
+            "ReverseImageBatch",
+            "RoundMask",
+            "SV3D_BatchSchedule",
+            "SaveImageWithAlpha",
+            "ScaleBatchPromptSchedule",
+            "Screencap_mss",
+            "Sleep",
+            "SomethingToString",
+            "SoundReactive",
+            "SplineEditor",
+            "SplitBboxes",
+            "SplitImageChannels",
+            "StabilityAPI_SD3",
+            "StableZero123_BatchSchedule",
+            "StringConstant",
+            "StringConstantMultiline",
+            "Superprompt",
+            "VRAM_Debug",
+            "WebcamCaptureCV2",
+            "WeightScheduleConvert",
+            "WeightScheduleExtend",
+            "WidgetToString"
+        ],
+        {
+            "title_aux": "KJNodes for ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-KwaiKolorsWrapper": [
+        [
+            "DownloadAndLoadChatGLM3",
+            "DownloadAndLoadKolorsModel",
+            "KolorsSampler",
+            "KolorsTextEncode",
+            "LoadChatGLM3"
+        ],
+        {
+            "title_aux": "ComfyUI-KwaiKolorsWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LLaVA-OneVision": [
+        [
+            "DownloadAndLoadLLaVAOneVisionModel",
+            "LLaVA_OneVision_Run",
+            "OneVisionCaptionFolder",
+            "SaveCaptionToTextFile"
+        ],
+        {
+            "title_aux": "ComfyUI Llava-OneVision"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LaVi-Bridge-Wrapper": [
+        [
+            "lavi_bridge_llama_encoder",
+            "lavi_bridge_t5_encoder",
+            "lavibridge_model_loader",
+            "lavibridge_sampler"
+        ],
+        {
+            "title_aux": "ComfyUI-LaVi-Bridge-Wrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LivePortraitKJ": [
+        [
+            "DownloadAndLoadLivePortraitModels",
+            "KeypointScaler",
+            "KeypointsToImage",
+            "LivePortraitComposite",
+            "LivePortraitCropper",
+            "LivePortraitLoadCropper",
+            "LivePortraitLoadFaceAlignmentCropper",
+            "LivePortraitLoadMediaPipeCropper",
+            "LivePortraitProcess",
+            "LivePortraitRetargeting"
+        ],
+        {
+            "title_aux": "ComfyUI-LivePortraitKJ"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-LuminaWrapper": [
+        [
+            "DownloadAndLoadGemmaModel",
+            "DownloadAndLoadLuminaModel",
+            "GemmaSampler",
+            "LuminaGemmaTextEncode",
+            "LuminaGemmaTextEncodeArea",
+            "LuminaT2ISampler",
+            "LuminaTextAreaAppend"
+        ],
+        {
+            "title_aux": "ComfyUI-LuminaWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-Marigold": [
+        [
+            "ColorizeDepthmap",
+            "MarigoldDepthEstimation",
+            "MarigoldDepthEstimationVideo",
+            "MarigoldDepthEstimation_v2",
+            "MarigoldDepthEstimation_v2_video",
+            "MarigoldModelLoader",
+            "RemapDepth",
+            "SaveImageOpenEXR"
+        ],
+        {
+            "title_aux": "Marigold depth estimation in ComfyUI"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-MimicMotionWrapper": [
+        [
+            "DiffusersScheduler",
+            "DownloadAndLoadMimicMotionModel",
+            "MimicMotionDecode",
+            "MimicMotionGetPoses",
+            "MimicMotionSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-MimicMotionWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-OpenDiTWrapper": [
+        [
+            "DownloadAndLoadOpenDiTT5Model",
+            "DownloadAndLoadOpenSoraModel",
+            "DownloadAndLoadOpenSoraVAE",
+            "OpenDiTConditioning",
+            "OpenDiTSampler",
+            "OpenSoraDecode",
+            "OpenSoraEncodeReference"
+        ],
+        {
+            "title_aux": "ComfyUI-OpenDiTWrapper"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-SUPIR": [
+        [
+            "SUPIR_Upscale",
+            "SUPIR_conditioner",
+            "SUPIR_decode",
+            "SUPIR_encode",
+            "SUPIR_first_stage",
+            "SUPIR_model_loader",
+            "SUPIR_model_loader_v2",
+            "SUPIR_model_loader_v2_clip",
+            "SUPIR_sample",
+            "SUPIR_tiles"
+        ],
+        {
+            "title_aux": "ComfyUI-SUPIR"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-depth-fm": [
+        [
+            "Depth_fm"
+        ],
+        {
+            "title_aux": "ComfyUI-depth-fm"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-moondream": [
+        [
+            "MoondreamQuery",
+            "MoondreamQueryCaptions"
+        ],
+        {
+            "title_aux": "ComfyUI-moondream"
+        }
+    ],
+    "https://github.com/kijai/ComfyUI-segment-anything-2": [
+        [
+            "DownloadAndLoadSAM2Model",
+            "Florence2toCoordinates",
+            "Sam2AutoSegmentation",
+            "Sam2Segmentation",
+            "Sam2VideoSegmentation",
+            "Sam2VideoSegmentationAddPoints"
+        ],
+        {
+            "title_aux": "ComfyUI-segment-anything-2"
+        }
+    ],
+    "https://github.com/kinfolk0117/ComfyUI_GradientDeepShrink": [
+        [
+            "GradientPatchModelAddDownscale",
+            "GradientPatchModelAddDownscaleAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI_GradientDeepShrink"
+        }
+    ],
+    "https://github.com/kinfolk0117/ComfyUI_Pilgram": [
+        [
+            "Pilgram"
+        ],
+        {
+            "title_aux": "ComfyUI_Pilgram"
+        }
+    ],
+    "https://github.com/kinfolk0117/ComfyUI_SimpleTiles": [
+        [
+            "DynamicTileMerge",
+            "DynamicTileSplit",
+            "TileCalc",
+            "TileMerge",
+            "TileSplit"
+        ],
+        {
+            "title_aux": "SimpleTiles"
+        }
+    ],
+    "https://github.com/klinter007/klinter_nodes": [
+        [
+            "Filter",
+            "Florence2Captions2IPA",
+            "PresentString",
+            "SingleString",
+            "SizeSelector",
+            "YellowBus",
+            "YellowBusV2",
+            "concat"
+        ],
+        {
+            "title_aux": "Klinter_nodes"
+        }
+    ],
+    "https://github.com/knuknX/ComfyUI-Image-Tools": [
+        [
+            "BatchImagePathLoader",
+            "ImageBgRemoveProcessor",
+            "ImageCheveretoUploader",
+            "ImageStandardResizeProcessor",
+            "JSONMessageNotifyTool",
+            "PreviewJSONNode",
+            "SingleImagePathLoader",
+            "SingleImageUrlLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Tools"
+        }
+    ],
+    "https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI": [
+        [
+            "LLLiteLoader"
+        ],
+        {
+            "title_aux": "ControlNet-LLLite-ComfyUI"
+        }
+    ],
+    "https://github.com/komojini/ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes": [
+        [
+            "S3 Bucket LoRA",
+            "S3Bucket_Load_LoRA",
+            "XL DreamBooth LoRA",
+            "XLDB_LoRA"
+        ],
+        {
+            "title_aux": "ComfyUI_SDXL_DreamBooth_LoRA_CustomNodes"
+        }
+    ],
+    "https://github.com/komojini/komojini-comfyui-nodes": [
+        [
+            "BatchCreativeInterpolationNodeDynamicSettings",
+            "CachedGetter",
+            "DragNUWAImageCanvas",
+            "FlowBuilder",
+            "FlowBuilder (adv)",
+            "FlowBuilder (advanced)",
+            "FlowBuilder (advanced) Setter",
+            "FlowBuilderSetter",
+            "FlowBuilderSetter (adv)",
+            "Getter",
+            "ImageCropByRatio",
+            "ImageCropByRatioAndResize",
+            "ImageGetter",
+            "ImageMerger",
+            "ImagesCropByRatioAndResizeBatch",
+            "KSamplerAdvancedCacheable",
+            "KSamplerCacheable",
+            "Setter",
+            "UltimateVideoLoader",
+            "UltimateVideoLoader (simple)",
+            "YouTubeVideoLoader"
+        ],
+        {
+            "title_aux": "komojini-comfyui-nodes"
+        }
+    ],
+    "https://github.com/kudou-reira/ComfyUI_StringToHex": [
+        [
+            "ColorNameToHex"
+        ],
+        {
+            "title_aux": "ComfyUI_StringToHex"
+        }
+    ],
+    "https://github.com/kunieone/ComfyUI_alkaid": [
+        [
+            "A_EmptyLatentImageLongside",
+            "A_Face3DSwapper",
+            "A_FaceCrop",
+            "A_FacePaste",
+            "A_GetImageSize",
+            "A_OpenPosePreprocessor",
+            "AdapterFace",
+            "AdapterFaceLoader",
+            "AdapterStyle",
+            "AdapterStyleLoader",
+            "AlkaidLoader",
+            "ApplyAdapter",
+            "ApplyControlNet_KPS",
+            "CombineAdapterPatch",
+            "KSamplerHires"
+        ],
+        {
+            "title_aux": "ComfyUI_alkaid"
+        }
+    ],
+    "https://github.com/kwaroran/abg-comfyui": [
+        [
+            "Remove Image Background (abg)"
+        ],
+        {
+            "title_aux": "abg-comfyui"
+        }
+    ],
+    "https://github.com/l20richo/ComfyUI-Azure-Blob-Storage": [
+        [
+            "DownloadFileBLOB",
+            "LoadImageBLOB",
+            "SaveImageBLOB",
+            "SaveVideoFilesBLOB",
+            "UploadFileBLOB"
+        ],
+        {
+            "title_aux": "ComfyUI-Azure-Blob-Storage"
+        }
+    ],
+    "https://github.com/laksjdjf/Batch-Condition-ComfyUI": [
+        [
+            "Batch String",
+            "CLIP Text Encode (Batch)",
+            "String Input"
+        ],
+        {
+            "title_aux": "Batch-Condition-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/LCMSampler-ComfyUI": [
+        [
+            "SamplerLCM",
+            "TAESDLoader"
+        ],
+        {
+            "title_aux": "LCMSampler-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/LoRTnoC-ComfyUI": [
+        [
+            "LortnocLoader"
+        ],
+        {
+            "title_aux": "LoRTnoC-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI": [
+        [
+            "CDTuner",
+            "Negapip",
+            "Negpip"
+        ],
+        {
+            "title_aux": "cd-tuner_negpip-ComfyUI"
+        }
+    ],
+    "https://github.com/laksjdjf/cgem156-ComfyUI": [
+        [
+            "GradualLatentSampler",
+            "LCMSamplerRCFG",
+            "LoadAestheticShadow",
+            "PredictAesthetic",
+            "TCDSampler",
+            "TextScheduler"
+        ],
+        {
+            "title_aux": "cgem156-ComfyUI\ud83c\udf4c"
+        }
+    ],
+    "https://github.com/laksjdjf/pfg-ComfyUI": [
+        [
+            "PFG"
+        ],
+        {
+            "title_aux": "pfg-ComfyUI"
+        }
+    ],
+    "https://github.com/larsupb/LoRA-Merger-ComfyUI": [
+        [
+            "PM LoRA Apply",
+            "PM LoRA Loader",
+            "PM LoRA Merger",
+            "PM LoRA Resizer",
+            "PM LoRA SVD Merger",
+            "PM LoRA Save",
+            "XY: PM LoRA Modes",
+            "XY: PM LoRA SVD Rank",
+            "XY: PM LoRA Strengths"
+        ],
+        {
+            "title_aux": "LoRA Power-Merger ComfyUI"
+        }
+    ],
+    "https://github.com/latenightlabs/ComfyUI-LNL": [
+        [
+            "LNL_FrameSelector",
+            "LNL_FrameSelectorV2",
+            "LNL_FrameSelectorV3"
+        ],
+        {
+            "title_aux": "LNL Frame Selector"
+        }
+    ],
+    "https://github.com/lazniak/Head-Orientation-Node-for-ComfyUI---by-PabloGFX": [
+        [
+            "HeadOrientationNode"
+        ],
+        {
+            "title_aux": "Head Orientation Node"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_CrossImageAttention": [
+        [
+            "AppearanceTransferInference",
+            "AppearanceTransferModelModelLoader",
+            "CIAConfig",
+            "LoadImagePath",
+            "LoadLatents"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use CrossImageAttention"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_InternVL2": [
+        [
+            "DynamicPreprocess",
+            "InternVLHFInference",
+            "InternVLLMDEPLOYInference",
+            "InternVLModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI_InternVL2"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_LLaSM": [
+        [
+            "LLaSM2Interface",
+            "LLaSM2ModelLoader",
+            "LLaSMLoadAudio"
+        ],
+        {
+            "title_aux": "ComfyUI_LLaSM"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_M3Net": [
+        [
+            "M3Net_Interface",
+            "M3Net_ModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI_M3Net"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_MasaCtrl": [
+        [
+            "DirectSampler",
+            "MasaCtrlConcatImage",
+            "MasaCtrlInversion",
+            "MasaCtrlLoadImage",
+            "MasaCtrlModelLoader",
+            "MutualSelfAttentionControlMaskAutoSampler",
+            "MutualSelfAttentionControlSampler"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use MasaCtrl"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_Style_Aligned": [
+        [
+            "SAControlnet_ModelLoader",
+            "SADepth",
+            "SAHandler",
+            "SAInversion",
+            "SASDXLControlnetKsampler",
+            "SASDXLKampler",
+            "SASDXLTransferKsampler",
+            "SASDXL_ModelLoader",
+            "SchedulerLoader"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use Style-Aligned"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_VideoEditing": [
+        [
+            "LoadVideo2Images",
+            "VEdit_ControlNet_ModelLoader",
+            "VEdit_ModelLoader",
+            "VEdit_Sampler",
+            "VEdit_image2canny"
+        ],
+        {
+            "title_aux": "ComfyUI nodes to use VideoEditing"
+        }
+    ],
+    "https://github.com/leeguandong/ComfyUI_VisualAttentionMap": [
+        [
+            "DecodeLatent",
+            "HFModelLoader",
+            "ShowCrossAttn",
+            "ShowImages",
+            "ShowSelfAttn",
+            "Text2ImageInference"
+        ],
+        {
+            "title_aux": "ComfyUI_VisualAttentionMap"
+        }
+    ],
+    "https://github.com/leestuartx/ComfyUI-GG": [
+        [
+            "AddPaddingToImage",
+            "ForLoopNode",
+            "ImageMetadataExtractor",
+            "InputNode",
+            "MetadataExtractBySeed",
+            "MetadataExtractorBySeed",
+            "OutputNode",
+            "ResizeImageProportionally",
+            "WorkspaceNode"
+        ],
+        {
+            "title_aux": "ComfyUI-GG"
+        }
+    ],
+    "https://github.com/leiweiqiang/ComfyUI-TRA": [
+        [
+            "TclEbSynth",
+            "TclEbSynthBatch",
+            "TclExtractFramesFromVideo",
+            "TclExtractFramesFromVideoFile",
+            "TclFrames2Video",
+            "TclLoraGenDatasets",
+            "TclLoraSaveImages",
+            "TclLoraTraining",
+            "TclSaveVideoFromFrames",
+            "TclYoloV8Segmentation",
+            "TclYoloV9Segmentation"
+        ],
+        {
+            "title_aux": "ComfyUI-TRA"
+        }
+    ],
+    "https://github.com/lenskikh/ComfyUI-Prompt-Worker": [
+        [
+            "Prompt Worker"
+        ],
+        {
+            "title_aux": "Propmt Worker"
+        }
+    ],
+    "https://github.com/leoleelxh/ComfyUI-LLMs": [
+        [
+            "\ud83d\uddbc\ufe0f LLMs_Vison_Ali",
+            "\ud83d\uddbc\ufe0f LLMs_Vison_GLM4",
+            "\ud83d\uddbc\ufe0f LLMs_Vison_Gemini",
+            "\ud83d\ude00 LLMs_Chat",
+            "\ud83d\ude00 LLMs_Chat_GLM4_Only"
+        ],
+        {
+            "title_aux": "ComfyUI-LLMs"
+        }
+    ],
+    "https://github.com/liangt/comfyui-loadimagewithsubfolder": [
+        [
+            "LoadImageWithSubfolder"
+        ],
+        {
+            "title_aux": "comfyui-loadimagewithsubfolder"
+        }
+    ],
+    "https://github.com/linshier/comfyui-remote-tools": [
+        [
+            "LoadBase64(js)",
+            "LoadBase64FromRemote",
+            "SendBase64ToRemote"
+        ],
+        {
+            "title_aux": "comfyui-remote-tools"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-AutoCropFaces": [
+        [
+            "AutoCropFaces"
+        ],
+        {
+            "title_aux": "ComfyUI-AutoCropFaces"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-B-LoRA": [
+        [
+            "LoadBLoRA"
+        ],
+        {
+            "title_aux": "ComfyUI-B-LoRA"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-Debug": [
+        [
+            "DebugInspectorNode",
+            "DebugModelInspectorNode",
+            "DebugModelPrintOutNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Debug"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-Login": [
+        [
+            "LoadImageIncognito"
+        ],
+        {
+            "title_aux": "ComfyUI-Login"
+        }
+    ],
+    "https://github.com/liusida/ComfyUI-SD3-nodes": [
+        [
+            "SD3EmptyLatent",
+            "SD3LoadCLIPs",
+            "SD3LoadCheckpoint"
+        ],
+        {
+            "title_aux": "ComfyUI-SD3-nodes"
+        }
+    ],
+    "https://github.com/ljleb/comfy-mecha": [
+        [
+            "Blocks Mecha Hyper",
+            "Float Mecha Hyper",
+            "Lora Mecha Recipe",
+            "Mecha Deserializer",
+            "Mecha Merger",
+            "Mecha Recipe List",
+            "Mecha Serializer",
+            "Model Mecha Recipe"
+        ],
+        {
+            "title_aux": "Mecha Merge Node Pack"
+        }
+    ],
+    "https://github.com/lks-ai/ComfyUI-StableAudioSampler": [
+        [
+            "StableAudioConditioning",
+            "StableAudioLoadModel",
+            "StableAudioPrompt",
+            "StableAudioSampler"
+        ],
+        {
+            "author": "lks-ai",
+            "description": "A Simple integration of Stable Audio Diffusion with knobs and stuff!",
+            "nickname": "stableaudio",
+            "title": "StableAudioSampler",
+            "title_aux": "ComfyUI Stable Audio Open 1.0 Sampler"
+        }
+    ],
+    "https://github.com/lks-ai/anynode": [
+        [
+            "AnyNode",
+            "AnyNodeAnthropic",
+            "AnyNodeCodeViewer",
+            "AnyNodeExport",
+            "AnyNodeGemini",
+            "AnyNodeLocal"
+        ],
+        {
+            "author": "newsbubbles",
+            "description": "This single node uses an LLM to generate a functionality based on your request. You can make the node do anything.",
+            "nickname": "AnyNode",
+            "title": "AnyNode v0.1.1",
+            "title_aux": "ComfyUI AnyNode: Any Node you ask for"
+        }
+    ],
+    "https://github.com/lldacing/comfyui-easyapi-nodes": [
+        [
+            "Base64ToImage",
+            "Base64ToMask",
+            "ColorPicker",
+            "GetImageBatchSize",
+            "ImageEqual",
+            "ImageToBase64",
+            "ImageToBase64Advanced",
+            "InsightFaceBBOXDetect",
+            "IntToList",
+            "IntToNumber",
+            "JoinList",
+            "ListMerge",
+            "LoadImageFromURL",
+            "LoadImageToBase64",
+            "LoadMaskFromURL",
+            "MaskImageToBase64",
+            "MaskToBase64",
+            "MaskToBase64Image",
+            "SDBaseVerNumber",
+            "SamAutoMaskSEGS",
+            "ShowBoolean",
+            "ShowFloat",
+            "ShowInt",
+            "ShowNumber",
+            "ShowString",
+            "StringToList"
+        ],
+        {
+            "title_aux": "comfyui-easyapi-nodes"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-4DHumans": [
+        [
+            "LoadDetectron",
+            "LoadHMR",
+            "ProcessHumans",
+            "SelectHuman"
+        ],
+        {
+            "title_aux": "ComfyUI-4DHumans"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-FLATTEN": [
+        [
+            "ApplyFlattenAttentionNode",
+            "CreateFlowNoiseNode",
+            "FlattenCheckpointLoaderNode",
+            "KSamplerFlattenNode",
+            "TrajectoryNode",
+            "UnsamplerFlattenNode"
+        ],
+        {
+            "title_aux": "ComfyUI-FLATTEN"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-InstanceDiffusion": [
+        [
+            "ApplyScaleUModelNode",
+            "DownloadInstanceDiffusionModels",
+            "InstanceDiffusionTrackingPrompt",
+            "LoadInstanceFusersNode",
+            "LoadInstancePositionNetModel",
+            "LoadInstanceScaleUNode"
+        ],
+        {
+            "title_aux": "InstanceDiffusion Nodes"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-InversedNoise": [
+        [
+            "CombineNoiseLatentNode",
+            "MixNoiseNode",
+            "SamplerInversedEulerNode"
+        ],
+        {
+            "title_aux": "ComfyUI-InversedNoise"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-MotionThiefExperiment": [
+        [
+            "ApplyRefMotionNode",
+            "MotionRefSettingsCustomNode",
+            "MotionRefSettingsDefaultNode"
+        ],
+        {
+            "title_aux": "ComfyUI-MotionThiefExperiment"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-RAVE_ATTN": [
+        [
+            "ApplyRaveAttentionNode",
+            "AttentionOverrideSD15Node",
+            "AttentionOverrideSDXLNode"
+        ],
+        {
+            "title_aux": "ComfyUI-RAVE Attention"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-ReNoise": [
+        [
+            "ReNoiseModelSamplingPred",
+            "ReNoiseSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-ReNoise"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-RefSampling": [
+        [
+            "ApplyRefContentNode",
+            "ApplyRefStyleNode",
+            "ApplyRefUNetNode"
+        ],
+        {
+            "title_aux": "ComfyUI-RefSampling"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-RefUNet": [
+        [
+            "ConfigRefMapAdv",
+            "ConfigureRefNet",
+            "CreateRefBank",
+            "CustomRefMapSD1",
+            "PrepareRefLatents",
+            "ReadSampler",
+            "RefModelSamplingPred",
+            "VisionClipEncode",
+            "WriteSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-RefUNet"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-SEGAttention": [
+        [
+            "SEGAttention"
+        ],
+        {
+            "title_aux": "ComfyUI-SEGAttention"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-SSREncoder": [
+        [
+            "ApplySSR",
+            "EncodeSSRQuery",
+            "LoadSSRAligner",
+            "LoadSSRAttention"
+        ],
+        {
+            "title_aux": "ComfyUI-SSREncoder"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-SeeCoder": [
+        [
+            "LoadSeeCoder",
+            "LoadSeeCoderUncond",
+            "SeecoderEncode"
+        ],
+        {
+            "title_aux": "ComfyUI-SeeCoder"
+        }
+    ],
+    "https://github.com/logtd/ComfyUI-TrackingNodes": [
+        [
+            "OpenPoseTrackerNode",
+            "YOLOTrackerNode"
+        ],
+        {
+            "title_aux": "Tracking Nodes for Videos"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-common-util": [
+        [
+            "Added Layer Info To Array",
+            "Enhanced Random Light Source",
+            "Float Relay",
+            "Image Relay",
+            "Init Layer Info Array",
+            "Int Relay",
+            "Layer Image Seleted",
+            "Layer Images IPAdapter Advanced",
+            "Layer Info Array Fuse",
+            "Mask Relay",
+            "String Relay"
+        ],
+        {
+            "title_aux": "comfyui-common-util"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-llm-assistant": [
+        [
+            "Chat With LLM",
+            "Generate Stable Diffsution Prompt With LLM",
+            "Translate Text With LLM"
+        ],
+        {
+            "title_aux": "comfyui-llm-assistant"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-magic-clothing": [
+        [
+            "Add Magic Clothing Attention",
+            "Change Pipeline Dtype And Device",
+            "Change Pixel Value Normalization",
+            "Diffusers Model Makeup &MC",
+            "Diffusers Scheduler Loader &MC",
+            "Load Magic Clothing Adapter",
+            "Load Magic Clothing Model",
+            "Load Magic Clothing Pipeline",
+            "Load Magic Clothing Pipeline With Path",
+            "RUN Magic Clothing Diffusers Model"
+        ],
+        {
+            "title_aux": "comfyui-magic-clothing"
+        }
+    ],
+    "https://github.com/longgui0318/comfyui-mask-util": [
+        [
+            "Image Adaptive Crop M&R",
+            "Image Adaptive Crop With Mask",
+            "Image Change DType",
+            "Image Change Device",
+            "Image Resolution Adaptive With X",
+            "Image Resolution Limit With 8K",
+            "Load Image With Name",
+            "Mask Change DType",
+            "Mask Change Device",
+            "Mask Selection Of Masks",
+            "Model Change Device",
+            "Model Change Device Repeaters",
+            "Output Image To Input",
+            "Split Masks"
+        ],
+        {
+            "title_aux": "comfyui-mask-util"
+        }
+    ],
+    "https://github.com/lordgasmic/ComfyUI-Wildcards/raw/master/wildcards.py": [
+        [
+            "CLIPTextEncodeWithWildcards"
+        ],
+        {
+            "title_aux": "Wildcards"
+        }
+    ],
+    "https://github.com/lordgasmic/comfyui_save_image_with_options": [
+        [
+            "SaveImageWithOptions"
+        ],
+        {
+            "title_aux": "comfyui_save_image_with_options"
+        }
+    ],
+    "https://github.com/lordgasmic/comfyui_wildcards": [
+        [
+            "CLIPTextEncodeWithWildcards"
+        ],
+        {
+            "title_aux": "comfyui_wildcards"
+        }
+    ],
+    "https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch": [
+        [
+            "InpaintCrop",
+            "InpaintExtendOutpaint",
+            "InpaintResize",
+            "InpaintStitch"
+        ],
+        {
+            "title_aux": "ComfyUI-Inpaint-CropAndStitch"
+        }
+    ],
+    "https://github.com/lquesada/ComfyUI-Prompt-Combinator": [
+        [
+            "PromptCombinator",
+            "PromptCombinatorExportGallery",
+            "PromptCombinatorMerger",
+            "PromptCombinatorRandomPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompt-Combinator"
+        }
+    ],
+    "https://github.com/lrzjason/ComfyUIJasonNode/raw/main/SDXLMixSampler.py": [
+        [
+            "SDXLMixSampler"
+        ],
+        {
+            "title_aux": "ComfyUIJasonNode"
+        }
+    ],
+    "https://github.com/lrzjason/Comfyui-Kolors-Utils": [
+        [
+            "SaveKolors",
+            "SaveWeightAsKolorsUnet"
+        ],
+        {
+            "title_aux": "Comfyui Kolors Utils"
+        }
+    ],
+    "https://github.com/ltdrdata/ComfyUI-Impact-Pack": [
+        [
+            "AddMask",
+            "BasicPipeToDetailerPipe",
+            "BasicPipeToDetailerPipeSDXL",
+            "BboxDetectorCombined",
+            "BboxDetectorCombined_v2",
+            "BboxDetectorForEach",
+            "BboxDetectorSEGS",
+            "BitwiseAndMask",
+            "BitwiseAndMaskForEach",
+            "CLIPSegDetectorProvider",
+            "CfgScheduleHookProvider",
+            "CombineRegionalPrompts",
+            "CoreMLDetailerHookProvider",
+            "CustomNoiseDetailerHookProvider",
+            "DenoiseScheduleHookProvider",
+            "DenoiseSchedulerDetailerHookProvider",
+            "DetailerForEach",
+            "DetailerForEachDebug",
+            "DetailerForEachDebugPipe",
+            "DetailerForEachPipe",
+            "DetailerForEachPipeForAnimateDiff",
+            "DetailerHookCombine",
+            "DetailerPipeToBasicPipe",
+            "EditBasicPipe",
+            "EditDetailerPipe",
+            "EditDetailerPipeSDXL",
+            "EmptySegs",
+            "FaceDetailer",
+            "FaceDetailerPipe",
+            "FromBasicPipe",
+            "FromBasicPipe_v2",
+            "FromDetailerPipe",
+            "FromDetailerPipeSDXL",
+            "FromDetailerPipe_v2",
+            "GITSSchedulerFuncProvider",
+            "ImageListToImageBatch",
+            "ImageMaskSwitch",
+            "ImageReceiver",
+            "ImageSender",
+            "ImpactAssembleSEGS",
+            "ImpactCombineConditionings",
+            "ImpactCompare",
+            "ImpactConcatConditionings",
+            "ImpactConditionalBranch",
+            "ImpactConditionalBranchSelMode",
+            "ImpactConditionalStopIteration",
+            "ImpactControlBridge",
+            "ImpactControlNetApplyAdvancedSEGS",
+            "ImpactControlNetApplySEGS",
+            "ImpactControlNetClearSEGS",
+            "ImpactConvertDataType",
+            "ImpactCount_Elts_in_SEGS",
+            "ImpactDecomposeSEGS",
+            "ImpactDilateMask",
+            "ImpactDilateMaskInSEGS",
+            "ImpactDilate_Mask_SEG_ELT",
+            "ImpactDummyInput",
+            "ImpactEdit_SEG_ELT",
+            "ImpactExecutionOrderController",
+            "ImpactFloat",
+            "ImpactFrom_SEG_ELT",
+            "ImpactFrom_SEG_ELT_bbox",
+            "ImpactFrom_SEG_ELT_crop_region",
+            "ImpactGaussianBlurMask",
+            "ImpactGaussianBlurMaskInSEGS",
+            "ImpactHFTransformersClassifierProvider",
+            "ImpactIPAdapterApplySEGS",
+            "ImpactIfNone",
+            "ImpactImageBatchToImageList",
+            "ImpactImageInfo",
+            "ImpactInt",
+            "ImpactInversedSwitch",
+            "ImpactIsNotEmptySEGS",
+            "ImpactKSamplerAdvancedBasicPipe",
+            "ImpactKSamplerBasicPipe",
+            "ImpactLatentInfo",
+            "ImpactLogger",
+            "ImpactLogicalOperators",
+            "ImpactMakeImageBatch",
+            "ImpactMakeImageList",
+            "ImpactMakeTileSEGS",
+            "ImpactMinMax",
+            "ImpactNeg",
+            "ImpactNegativeConditioningPlaceholder",
+            "ImpactNodeSetMuteState",
+            "ImpactQueueTrigger",
+            "ImpactQueueTriggerCountdown",
+            "ImpactRemoteBoolean",
+            "ImpactRemoteInt",
+            "ImpactSEGSClassify",
+            "ImpactSEGSConcat",
+            "ImpactSEGSLabelAssign",
+            "ImpactSEGSLabelFilter",
+            "ImpactSEGSOrderedFilter",
+            "ImpactSEGSPicker",
+            "ImpactSEGSRangeFilter",
+            "ImpactSEGSToMaskBatch",
+            "ImpactSEGSToMaskList",
+            "ImpactScaleBy_BBOX_SEG_ELT",
+            "ImpactSchedulerAdapter",
+            "ImpactSegsAndMask",
+            "ImpactSegsAndMaskForEach",
+            "ImpactSetWidgetValue",
+            "ImpactSimpleDetectorSEGS",
+            "ImpactSimpleDetectorSEGSPipe",
+            "ImpactSimpleDetectorSEGS_for_AD",
+            "ImpactSleep",
+            "ImpactStringSelector",
+            "ImpactSwitch",
+            "ImpactValueReceiver",
+            "ImpactValueSender",
+            "ImpactWildcardEncode",
+            "ImpactWildcardProcessor",
+            "IterativeImageUpscale",
+            "IterativeLatentUpscale",
+            "KSamplerAdvancedProvider",
+            "KSamplerProvider",
+            "LatentPixelScale",
+            "LatentReceiver",
+            "LatentSender",
+            "LatentSwitch",
+            "MMDetDetectorProvider",
+            "MMDetLoader",
+            "MaskDetailerPipe",
+            "MaskListToMaskBatch",
+            "MaskPainter",
+            "MaskToSEGS",
+            "MaskToSEGS_for_AnimateDiff",
+            "MasksToMaskList",
+            "MediaPipeFaceMeshToSEGS",
+            "NoiseInjectionDetailerHookProvider",
+            "NoiseInjectionHookProvider",
+            "ONNXDetectorProvider",
+            "ONNXDetectorSEGS",
+            "PixelKSampleHookCombine",
+            "PixelKSampleUpscalerProvider",
+            "PixelKSampleUpscalerProviderPipe",
+            "PixelTiledKSampleUpscalerProvider",
+            "PixelTiledKSampleUpscalerProviderPipe",
+            "PreviewBridge",
+            "PreviewBridgeLatent",
+            "PreviewDetailerHookProvider",
+            "ReencodeLatent",
+            "ReencodeLatentPipe",
+            "RegionalPrompt",
+            "RegionalSampler",
+            "RegionalSamplerAdvanced",
+            "RemoveImageFromSEGS",
+            "RemoveNoiseMask",
+            "SAMDetectorCombined",
+            "SAMDetectorSegmented",
+            "SAMLoader",
+            "SEGSDetailer",
+            "SEGSDetailerForAnimateDiff",
+            "SEGSLabelFilterDetailerHookProvider",
+            "SEGSOrderedFilterDetailerHookProvider",
+            "SEGSPaste",
+            "SEGSPreview",
+            "SEGSPreviewCNet",
+            "SEGSRangeFilterDetailerHookProvider",
+            "SEGSSwitch",
+            "SEGSToImageList",
+            "SEGSUpscaler",
+            "SEGSUpscalerPipe",
+            "SegmDetectorCombined",
+            "SegmDetectorCombined_v2",
+            "SegmDetectorForEach",
+            "SegmDetectorSEGS",
+            "Segs  Mask",
+            "Segs  Mask ForEach",
+            "SegsMaskCombine",
+            "SegsToCombinedMask",
+            "SetDefaultImageForSEGS",
+            "StepsScheduleHookProvider",
+            "StringListToString",
+            "SubtractMask",
+            "SubtractMaskForEach",
+            "TiledKSamplerProvider",
+            "ToBasicPipe",
+            "ToBinaryMask",
+            "ToDetailerPipe",
+            "ToDetailerPipeSDXL",
+            "TwoAdvancedSamplersForMask",
+            "TwoSamplersForMask",
+            "TwoSamplersForMaskUpscalerProvider",
+            "TwoSamplersForMaskUpscalerProviderPipe",
+            "UltralyticsDetectorProvider",
+            "UnsamplerDetailerHookProvider",
+            "UnsamplerHookProvider",
+            "VariationNoiseDetailerHookProvider",
+            "WildcardPromptFromString"
+        ],
+        {
+            "author": "Dr.Lt.Data",
+            "description": "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler.",
+            "nickname": "Impact Pack",
+            "preemptions": [
+                "SAMLoader"
+            ],
+            "title": "Impact Pack",
+            "title_aux": "ComfyUI Impact Pack"
+        }
+    ],
+    "https://github.com/ltdrdata/ComfyUI-Inspire-Pack": [
+        [
+            "AnimeLineArt_Preprocessor_Provider_for_SEGS //Inspire",
+            "ApplyLBW //Inspire",
+            "ApplyRegionalIPAdapters //Inspire",
+            "BindImageListPromptList //Inspire",
+            "CLIPTextEncodeWithWeight //Inspire",
+            "CacheBackendData //Inspire",
+            "CacheBackendDataList //Inspire",
+            "CacheBackendDataNumberKey //Inspire",
+            "CacheBackendDataNumberKeyList //Inspire",
+            "Canny_Preprocessor_Provider_for_SEGS //Inspire",
+            "ChangeImageBatchSize //Inspire",
+            "ChangeLatentBatchSize //Inspire",
+            "CheckpointLoaderSimpleShared //Inspire",
+            "ColorMapToMasks //Inspire",
+            "ColorMaskToDepthMask //Inspire",
+            "Color_Preprocessor_Provider_for_SEGS //Inspire",
+            "CompositeNoise //Inspire",
+            "ConcatConditioningsWithMultiplier //Inspire",
+            "ConditioningStretch //Inspire",
+            "ConditioningUpscale //Inspire",
+            "DWPreprocessor_Provider_for_SEGS //Inspire",
+            "FakeScribblePreprocessor_Provider_for_SEGS //Inspire",
+            "FloatRange //Inspire",
+            "FromIPAdapterPipe //Inspire",
+            "GlobalSampler //Inspire",
+            "GlobalSeed //Inspire",
+            "HEDPreprocessor_Provider_for_SEGS //Inspire",
+            "HyperTile //Inspire",
+            "IPAdapterModelHelper //Inspire",
+            "ImageBatchSplitter //Inspire",
+            "InpaintPreprocessor_Provider_for_SEGS //Inspire",
+            "KSampler //Inspire",
+            "KSamplerAdvanced //Inspire",
+            "KSamplerAdvancedPipe //Inspire",
+            "KSamplerAdvancedProgress //Inspire",
+            "KSamplerPipe //Inspire",
+            "KSamplerProgress //Inspire",
+            "LatentBatchSplitter //Inspire",
+            "LeRes_DepthMap_Preprocessor_Provider_for_SEGS //Inspire",
+            "LineArt_Preprocessor_Provider_for_SEGS //Inspire",
+            "ListCounter //Inspire",
+            "LoadImage //Inspire",
+            "LoadImageListFromDir //Inspire",
+            "LoadImagesFromDir //Inspire",
+            "LoadLBW //Inspire",
+            "LoadPromptsFromDir //Inspire",
+            "LoadPromptsFromFile //Inspire",
+            "LoadSinglePromptFromFile //Inspire",
+            "LoraBlockInfo //Inspire",
+            "LoraLoaderBlockWeight //Inspire",
+            "MakeBasicPipe //Inspire",
+            "MakeLBW //Inspire",
+            "Manga2Anime_LineArt_Preprocessor_Provider_for_SEGS //Inspire",
+            "MediaPipeFaceMeshDetectorProvider //Inspire",
+            "MediaPipe_FaceMesh_Preprocessor_Provider_for_SEGS //Inspire",
+            "MeshGraphormerDepthMapPreprocessorProvider_for_SEGS //Inspire",
+            "MiDaS_DepthMap_Preprocessor_Provider_for_SEGS //Inspire",
+            "OpenPose_Preprocessor_Provider_for_SEGS //Inspire",
+            "PromptBuilder //Inspire",
+            "PromptExtractor //Inspire",
+            "RGB_HexToHSV //Inspire",
+            "RandomGeneratorForList //Inspire",
+            "RandomNoise //Inspire",
+            "RegionalCFG //Inspire",
+            "RegionalConditioningColorMask //Inspire",
+            "RegionalConditioningSimple //Inspire",
+            "RegionalIPAdapterColorMask //Inspire",
+            "RegionalIPAdapterEncodedColorMask //Inspire",
+            "RegionalIPAdapterEncodedMask //Inspire",
+            "RegionalIPAdapterMask //Inspire",
+            "RegionalPromptColorMask //Inspire",
+            "RegionalPromptSimple //Inspire",
+            "RegionalSeedExplorerColorMask //Inspire",
+            "RegionalSeedExplorerMask //Inspire",
+            "RemoveBackendData //Inspire",
+            "RemoveBackendDataNumberKey //Inspire",
+            "RemoveControlNet //Inspire",
+            "RemoveControlNetFromRegionalPrompts //Inspire",
+            "RetrieveBackendData //Inspire",
+            "RetrieveBackendDataNumberKey //Inspire",
+            "SaveLBW //Inspire",
+            "ScheduledCFGGuider //Inspire",
+            "ScheduledPerpNegCFGGuider //Inspire",
+            "SeedExplorer //Inspire",
+            "SelectNthMask //Inspire",
+            "ShowCachedInfo //Inspire",
+            "StableCascade_CheckpointLoader //Inspire",
+            "TilePreprocessor_Provider_for_SEGS //Inspire",
+            "ToIPAdapterPipe //Inspire",
+            "UnzipPrompt //Inspire",
+            "WildcardEncode //Inspire",
+            "XY Input: Lora Block Weight //Inspire",
+            "ZipPrompt //Inspire",
+            "Zoe_DepthMap_Preprocessor_Provider_for_SEGS //Inspire"
+        ],
+        {
+            "author": "Dr.Lt.Data",
+            "description": "This extension provides various nodes to support Lora Block Weight and the Impact Pack.",
+            "nickname": "Inspire Pack",
+            "nodename_pattern": "Inspire$",
+            "title": "Inspire Pack",
+            "title_aux": "ComfyUI Inspire Pack"
+        }
+    ],
+    "https://github.com/luandev/ComfyUI-CrewAI": [
+        [
+            "\ud83d\udcceCrewAI Agent",
+            "\ud83d\udcceCrewAI Agent List",
+            "\ud83d\udcceCrewAI Crew",
+            "\ud83d\udcceCrewAI LLM Chat GPT",
+            "\ud83d\udcceCrewAI LLM Hugging Face",
+            "\ud83d\udcceCrewAI LLM OpenAI",
+            "\ud83d\udcceCrewAI Task",
+            "\ud83d\udcceCrewAI Task List"
+        ],
+        {
+            "title_aux": "ComfyUI CrewAI"
+        }
+    ],
+    "https://github.com/lucafoscili/comfyui-lf": [
+        [
+            "LF_BlurImages",
+            "LF_CharacterImpersonator",
+            "LF_ControlPanel",
+            "LF_DisplayJSON",
+            "LF_GetRandomKeyFromJSON",
+            "LF_GetValueFromJSON",
+            "LF_ImageClassifier",
+            "LF_ImageHistogram",
+            "LF_ImageResizeByEdge",
+            "LF_LoadImages",
+            "LF_LoadLocalJSON",
+            "LF_Lora2Prompt",
+            "LF_LoraTag2Prompt",
+            "LF_MultipleImageResizeForWeb",
+            "LF_SequentialSeedsGenerator",
+            "LF_Something2Number",
+            "LF_Something2String",
+            "LF_SwitchImage",
+            "LF_SwitchInteger",
+            "LF_SwitchJSON",
+            "LF_SwitchString",
+            "LF_WallOfText",
+            "LF_WorkflowSettings",
+            "LF_WriteJSON"
+        ],
+        {
+            "title_aux": "LF Nodes"
+        }
+    ],
+    "https://github.com/m-sokes/ComfyUI-Sokes-Nodes": [
+        [
+            "Custom Date Format | sokes \ud83e\uddac",
+            "Latent Switch x9 | sokes \ud83e\uddac"
+        ],
+        {
+            "title_aux": "ComfyUI Sokes Nodes"
+        }
+    ],
+    "https://github.com/m957ymj75urz/ComfyUI-Custom-Nodes/raw/main/clip-text-encode-split/clip_text_encode_split.py": [
+        [
+            "RawText",
+            "RawTextCombine",
+            "RawTextEncode",
+            "RawTextReplace"
+        ],
+        {
+            "title_aux": "m957ymj75urz/ComfyUI-Custom-Nodes"
+        }
+    ],
+    "https://github.com/maepopi/Diffusers-in-ComfyUI": [
+        [
+            "BLoRALoader",
+            "GenerateImg2Image",
+            "GenerateInpaintImage",
+            "GenerateTxt2Image",
+            "Img2ImgStableDiffusionPipeline",
+            "InpaintingStableDiffusionPipeline",
+            "LoRALoader",
+            "MakeCanny",
+            "Text2ImgStableDiffusionPipeline"
+        ],
+        {
+            "title_aux": "Diffusers-in-ComfyUI"
+        }
+    ],
+    "https://github.com/mape/ComfyUI-mape-Helpers": [
+        [
+            "mape Variable"
+        ],
+        {
+            "author": "mape",
+            "description": "Various QoL improvements like prompt tweaking, variable assignment, image preview, fuzzy search, error reporting, organizing and node navigation.",
+            "nickname": "\ud83d\udfe1 mape's helpers",
+            "title": "mape's helpers",
+            "title_aux": "mape's helpers"
+        }
+    ],
+    "https://github.com/maracman/ComfyUI-SubjectStyle-CSV": [
+        [
+            "CSVPromptProcessor"
+        ],
+        {
+            "title_aux": "ComfyUI-SubjectStyle-CSV"
+        }
+    ],
+    "https://github.com/marduk191/ComfyUI-Fluxpromptenhancer": [
+        [
+            "FluxPromptEnhance"
+        ],
+        {
+            "title_aux": "Flux Prompt Enhance Node for ComfyUI"
+        }
+    ],
+    "https://github.com/marduk191/comfyui-marnodes": [
+        [
+            "marduk191_5_text_string",
+            "marduk191_5way_text_switch",
+            "marduk191_s_random_latent",
+            "marduk191_workflow_settings"
+        ],
+        {
+            "author": "\u02f6marduk191",
+            "description": "marduk191s nodes.",
+            "nickname": "marduk191 workflow settings",
+            "title": "marduk191 workflow settings",
+            "title_aux": "marduk191 workflow settings"
+        }
+    ],
+    "https://github.com/marhensa/sdxl-recommended-res-calc": [
+        [
+            "RecommendedResCalc"
+        ],
+        {
+            "title_aux": "Recommended Resolution Calculator"
+        }
+    ],
+    "https://github.com/markuryy/ComfyUI-Flux-Prompt-Saver": [
+        [
+            "FluxPromptSaver"
+        ],
+        {
+            "title_aux": "ComfyUI Flux Prompt Saver"
+        }
+    ],
+    "https://github.com/martijnat/comfyui-previewlatent": [
+        [
+            "PreviewLatent",
+            "PreviewLatentAdvanced",
+            "PreviewLatentXL"
+        ],
+        {
+            "title_aux": "comfyui-previewlatent"
+        }
+    ],
+    "https://github.com/massao000/ComfyUI_aspect_ratios": [
+        [
+            "Aspect Ratios Node"
+        ],
+        {
+            "title_aux": "ComfyUI_aspect_ratios"
+        }
+    ],
+    "https://github.com/matan1905/ComfyUI-Serving-Toolkit": [
+        [
+            "DiscordServing",
+            "ServingInputImage",
+            "ServingInputImageAsLatent",
+            "ServingInputNumber",
+            "ServingInputText",
+            "ServingMultiImageOutput",
+            "ServingOutput",
+            "ServingTextOutput",
+            "WebSocketServing"
+        ],
+        {
+            "title_aux": "ComfyUI Serving toolkit"
+        }
+    ],
+    "https://github.com/mattjohnpowell/comfyui-lmstudio-image-to-text-node": [
+        [
+            "LM Studio Image To Text",
+            "LM Studio Text Generation"
+        ],
+        {
+            "author": "Matt John Powell",
+            "description": "This extension provides two custom nodes for ComfyUI that integrate LM Studio's capabilities:",
+            "nickname": "LM Studio Nodes",
+            "title": "LM Studio Nodes for ComfyUI",
+            "title_aux": "LM Studio Image to Text Node for ComfyUI"
+        }
+    ],
+    "https://github.com/mav-rik/facerestore_cf": [
+        [
+            "CropFace",
+            "FaceRestoreCFWithModel",
+            "FaceRestoreModelLoader"
+        ],
+        {
+            "title_aux": "Facerestore CF (Code Former)"
+        }
+    ],
+    "https://github.com/mbrostami/ComfyUI-HF": [
+        [
+            "GPT2Node"
+        ],
+        {
+            "title_aux": "ComfyUI-HF"
+        }
+    ],
+    "https://github.com/mbrostami/ComfyUI-TITrain": [
+        [
+            "TextualInversionTraining",
+            "TextualInversionTrainingSDXL"
+        ],
+        {
+            "title_aux": "ComfyUI-TITrain"
+        }
+    ],
+    "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding": [
+        [
+            "DynamicThresholdingFull",
+            "DynamicThresholdingSimple"
+        ],
+        {
+            "title_aux": "Dynamic Thresholding"
+        }
+    ],
+    "https://github.com/meap158/ComfyUI-Background-Replacement": [
+        [
+            "BackgroundReplacement",
+            "ImageComposite"
+        ],
+        {
+            "title_aux": "ComfyUI-Background-Replacement"
+        }
+    ],
+    "https://github.com/meap158/ComfyUI-GPU-temperature-protection": [
+        [
+            "GPUTemperatureProtection"
+        ],
+        {
+            "title_aux": "GPU temperature protection"
+        }
+    ],
+    "https://github.com/meap158/ComfyUI-Prompt-Expansion": [
+        [
+            "PromptExpansion"
+        ],
+        {
+            "title_aux": "ComfyUI-Prompt-Expansion"
+        }
+    ],
+    "https://github.com/melMass/comfy_mtb": [
+        [
+            "Animation Builder (mtb)",
+            "Any To String (mtb)",
+            "Batch Float (mtb)",
+            "Batch Float Assemble (mtb)",
+            "Batch Float Fill (mtb)",
+            "Batch Make (mtb)",
+            "Batch Merge (mtb)",
+            "Batch Shake (mtb)",
+            "Batch Shape (mtb)",
+            "Batch Transform (mtb)",
+            "Bbox (mtb)",
+            "Bbox From Mask (mtb)",
+            "Blur (mtb)",
+            "Color Correct (mtb)",
+            "Colored Image (mtb)",
+            "Concat Images (mtb)",
+            "Crop (mtb)",
+            "Debug (mtb)",
+            "Deep Bump (mtb)",
+            "Export With Ffmpeg (mtb)",
+            "Face Swap (mtb)",
+            "Film Interpolation (mtb)",
+            "Fit Number (mtb)",
+            "Float To Number (mtb)",
+            "Get Batch From History (mtb)",
+            "Image Compare (mtb)",
+            "Image Premultiply (mtb)",
+            "Image Remove Background Rembg (mtb)",
+            "Image Resize Factor (mtb)",
+            "Image Tile Offset (mtb)",
+            "Int To Bool (mtb)",
+            "Int To Number (mtb)",
+            "Interpolate Clip Sequential (mtb)",
+            "Latent Lerp (mtb)",
+            "Load Face Analysis Model (mtb)",
+            "Load Face Enhance Model (mtb)",
+            "Load Face Swap Model (mtb)",
+            "Load Film Model (mtb)",
+            "Load Image From Url (mtb)",
+            "Load Image Sequence (mtb)",
+            "Mask To Image (mtb)",
+            "Math Expression (mtb)",
+            "Model Patch Seamless (mtb)",
+            "Pick From Batch (mtb)",
+            "Qr Code (mtb)",
+            "Restore Face (mtb)",
+            "Save Gif (mtb)",
+            "Save Image Grid (mtb)",
+            "Save Image Sequence (mtb)",
+            "Save Tensors (mtb)",
+            "Sharpen (mtb)",
+            "Smart Step (mtb)",
+            "Stack Images (mtb)",
+            "String Replace (mtb)",
+            "Styles Loader (mtb)",
+            "Text To Image (mtb)",
+            "Transform Image (mtb)",
+            "Uncrop (mtb)",
+            "Unsplash Image (mtb)",
+            "Vae Decode (mtb)"
+        ],
+        {
+            "nodename_pattern": "\\(mtb\\)$",
+            "title_aux": "MTB Nodes"
+        }
+    ],
+    "https://github.com/mephisto83/petty-paint-comfyui-node": [
+        [
+            "PettyImageImageColorToMask",
+            "PettyPaintAppend",
+            "PettyPaintApplyLoRAStack",
+            "PettyPaintBlurs",
+            "PettyPaintComponent",
+            "PettyPaintConditioningSetMaskAndCombine",
+            "PettyPaintConvert",
+            "PettyPaintCountFiles",
+            "PettyPaintEnsureDirectory",
+            "PettyPaintExec",
+            "PettyPaintFakeConvert",
+            "PettyPaintFileExists",
+            "PettyPaintImageColorsToMasks",
+            "PettyPaintImageCompositeMasked",
+            "PettyPaintImageDims",
+            "PettyPaintImageMaskCropper",
+            "PettyPaintImagePlacement",
+            "PettyPaintImageSave",
+            "PettyPaintImageStore",
+            "PettyPaintImageToMask",
+            "PettyPaintImagesToMasks",
+            "PettyPaintJsonMap",
+            "PettyPaintJsonRead",
+            "PettyPaintJsonReadArray",
+            "PettyPaintKSampler",
+            "PettyPaintKSamplerAdvanced",
+            "PettyPaintLoRAStack",
+            "PettyPaintLoadImage",
+            "PettyPaintLoadImageMasks",
+            "PettyPaintLoadImages",
+            "PettyPaintMap",
+            "PettyPaintMasksToImages",
+            "PettyPaintNot",
+            "PettyPaintPassThroughNode",
+            "PettyPaintProcessor",
+            "PettyPaintRemoveAddText",
+            "PettyPaintSDTurboScheduler",
+            "PettyPaintStoryImage",
+            "PettyPaintText",
+            "PettyPaintTexts_to_Conditioning",
+            "PettyPaintToJson",
+            "PettyPaintVAEDecode"
+        ],
+        {
+            "title_aux": "petty-paint-comfyui-node"
+        }
+    ],
+    "https://github.com/meshmesh-io/ComfyUI-MeshMesh": [
+        [
+            "ColorPicker",
+            "MasksToColoredMasks"
+        ],
+        {
+            "title_aux": "ComfyUI-MeshMesh"
+        }
+    ],
+    "https://github.com/meshmesh-io/mm-comfyui-loopback": [
+        [
+            "Loop",
+            "LoopEnd",
+            "LoopEnd_SEGIMAGE",
+            "LoopStart",
+            "LoopStart_SEGIMAGE"
+        ],
+        {
+            "title_aux": "mm-comfyui-loopback"
+        }
+    ],
+    "https://github.com/meshmesh-io/mm-comfyui-megamask": [
+        [
+            "ColorListMaskToImage",
+            "FlattenAndCombineMaskImages"
+        ],
+        {
+            "title_aux": "mm-comfyui-megamask"
+        }
+    ],
+    "https://github.com/metncelik/comfyui_met_suite": [
+        [
+            "BBOXPadding",
+            "BBOXResize",
+            "ImageResizeKeepRatio",
+            "PrimitiveBBOX",
+            "RaiseError"
+        ],
+        {
+            "title_aux": "comfyui_met_suite"
+        }
+    ],
+    "https://github.com/mgfxer/ComfyUI-FrameFX": [
+        [
+            "DynamicAnimatedWeightsHelper",
+            "EdgeFXSourceImages",
+            "FlorencePromptTravelHelper",
+            "LivePromptInterpolation",
+            "MaskSequenceHelper",
+            "PromptStackManager",
+            "PromptTravelHelper"
+        ],
+        {
+            "author": "mgfxer",
+            "description": "This extension provides various frame and mask sequence manipulation tools for animation workflows.",
+            "nickname": "FrameFX \ud83d\udcab",
+            "title": "FrameFX",
+            "title_aux": "ComfyUI-FrameFX"
+        }
+    ],
+    "https://github.com/miaoshouai/ComfyUI-Miaoshouai-Tagger": [
+        [
+            "Miaoshouai_SaveTags",
+            "Miaoshouai_Tagger"
+        ],
+        {
+            "title_aux": "ComfyUI-Miaoshouai-Tagger"
+        }
+    ],
+    "https://github.com/microbote/ComfyUI-StyledCLIPTextEncode": [
+        [
+            "StyledCLIPTextEncode"
+        ],
+        {
+            "title_aux": "StyledCLIPTextEncode"
+        }
+    ],
+    "https://github.com/mihaiiancu/ComfyUI_Inpaint": [
+        [
+            "InpaintMediapipe"
+        ],
+        {
+            "title_aux": "mihaiiancu/Inpaint"
+        }
+    ],
+    "https://github.com/mikebilly/Transparent-background-comfyUI": [
+        [
+            "Transparentbackground RemBg"
+        ],
+        {
+            "title_aux": "Transparent-background-comfyUI"
+        }
+    ],
+    "https://github.com/mikkel/ComfyUI-text-overlay": [
+        [
+            "Image Text Overlay"
+        ],
+        {
+            "title_aux": "ComfyUI - Text Overlay Plugin"
+        }
+    ],
+    "https://github.com/mikkel/comfyui-mask-boundingbox": [
+        [
+            "Mask Bounding Box"
+        ],
+        {
+            "title_aux": "ComfyUI - Mask Bounding Box"
+        }
+    ],
+    "https://github.com/mirabarukaso/ComfyUI_Mira": [
+        [
+            "BooleanListInterpreter1",
+            "BooleanListInterpreter4",
+            "BooleanListInterpreter8",
+            "CanvasCreatorAdvanced",
+            "CanvasCreatorBasic",
+            "CanvasCreatorSimple",
+            "CircleCreator",
+            "CirclesGenerator",
+            "CreateMaskWithCanvas",
+            "CreateNestedPNGMask",
+            "CreateSimpleMask",
+            "CreateTillingPNGMask",
+            "CreateWatermarkRemovalMask",
+            "EightBooleanTrigger",
+            "EightFloats",
+            "EvenOrOdd",
+            "EvenOrOddList",
+            "FloatListInterpreter1",
+            "FloatListInterpreter4",
+            "FloatListInterpreter8",
+            "FloatMultiplication",
+            "FourBooleanTrigger",
+            "FourFloats",
+            "FunctionSwap",
+            "IntMultiplication",
+            "IntSubtraction",
+            "IntToFloatMultiplication",
+            "LoRALoaderWithNameStacker",
+            "LogicNot",
+            "NoneToZero",
+            "NumeralToString",
+            "OneFloat",
+            "PngColorMasksToMaskList",
+            "PngColorMasksToRGB",
+            "PngColorMasksToString",
+            "PngColorMasksToStringList",
+            "PngRectanglesToMask",
+            "PngRectanglesToMaskList",
+            "RandomNestedLayouts",
+            "RandomTillingLayouts",
+            "SN74HC1G86",
+            "SN74HC86",
+            "SN74LVC1G125",
+            "SeedGenerator",
+            "SingleBooleanTrigger",
+            "SixBooleanTrigger",
+            "StepsAndCfg",
+            "TextBox",
+            "TextCombinerSix",
+            "TextCombinerTwo",
+            "TextSwitcherThreeWays",
+            "TextSwitcherTwoWays",
+            "TextWithBooleanSwitchAndCommonTextInput",
+            "TwoBooleanTrigger",
+            "TwoFloats"
+        ],
+        {
+            "title_aux": "ComfyUI_Mira"
+        }
+    ],
+    "https://github.com/misterjoessef/MLTask_ComfyUI": [
+        [
+            "FacebookPosterData",
+            "InstagramPosterData",
+            "LinkedinPosterData",
+            "MLTaskUtilsTextImageGenerator",
+            "PinterestPosterData",
+            "SocialManMediaToPoster",
+            "SocialManPostData",
+            "SocialManPoster",
+            "TiktokPosterData",
+            "TwitterPosterData",
+            "YoutubePosterData"
+        ],
+        {
+            "title_aux": "MLTask_ComfyUI"
+        }
+    ],
+    "https://github.com/mittimi/ComfyUI_mittimiLoadPreset": [
+        [
+            "LoadAndSettingParametersMittimi01",
+            "LoadAndSettingParametersMittimi02",
+            "LoadPresetForSettingParametersMittimi01",
+            "SettingParametersMittimi01"
+        ],
+        {
+            "author": "mittimi",
+            "description": "The system selects and loads presets that have been saved in advance.",
+            "nickname": "mittimiLoadPreset",
+            "title": "mittimiLoadPreset",
+            "title_aux": "ComfyUI_mittimiLoadPreset"
+        }
+    ],
+    "https://github.com/mittimi/ComfyUI_mittimiRecalculateSize": [
+        [
+            "RecalculateSizeMittimi01"
+        ],
+        {
+            "author": "mittimi",
+            "description": "Switch between vertical and horizontal values with a single button.",
+            "nickname": "mittimiWidthHeight",
+            "title": "mittimiWidthHeight",
+            "title_aux": "ComfyUI_mittimiRecalculateSize"
+        }
+    ],
+    "https://github.com/mittimi/ComfyUI_mittimiWidthHeight": [
+        [
+            "WidthHeightMittimi01"
+        ],
+        {
+            "author": "mittimi",
+            "description": "Switch between vertical and horizontal values with a single button.",
+            "nickname": "mittimiWidthHeight",
+            "title": "mittimiWidthHeight",
+            "title_aux": "ComfyUI_mittimiWidthHeight"
+        }
+    ],
+    "https://github.com/modelscope/comfyscope": [
+        [
+            "DashScopeFLUXAPI"
+        ],
+        {
+            "title_aux": "Dashscope FLUX API for ComfyUI"
+        }
+    ],
+    "https://github.com/modusCell/ComfyUI-dimension-node-modusCell": [
+        [
+            "DimensionProviderFree modusCell",
+            "DimensionProviderRatio modusCell",
+            "String Concat modusCell"
+        ],
+        {
+            "title_aux": "Preset Dimensions"
+        }
+    ],
+    "https://github.com/moyi7712/ComfyUI_Seamless_Patten": [
+        [
+            "SeamlessApply",
+            "SeamlessKSampler",
+            "SeamlessKSamplerAdvanced",
+            "SeamlessVae"
+        ],
+        {
+            "title_aux": "ComfyUI_Seamless_Patten"
+        }
+    ],
+    "https://github.com/mpiquero7164/ComfyUI-SaveImgPrompt": [
+        [
+            "Save IMG Prompt"
+        ],
+        {
+            "title_aux": "SaveImgPrompt"
+        }
+    ],
+    "https://github.com/mullakhmetov/comfyui_dynamic_util_nodes": [
+        [
+            "ConcatStrings",
+            "FormatString",
+            "GetFiles",
+            "LoadImageByPath",
+            "StringOutput"
+        ],
+        {
+            "title_aux": "comfyui_dynamic_util_nodes"
+        }
+    ],
+    "https://github.com/muzi12888/ComfyUI-PoseKeypoint-Mask": [
+        [
+            "Image Brightness",
+            "Openpose Keypoint Mask"
+        ],
+        {
+            "title_aux": "PoseKeypoint Mask"
+        }
+    ],
+    "https://github.com/my-opencode/ComfyUI_IndustrialMagick": [
+        [
+            "IndustrialMagick",
+            "IndustrialMagickImageIngest"
+        ],
+        {
+            "title_aux": "ComfyUI_IndustrialMagick"
+        }
+    ],
+    "https://github.com/my-opencode/ComfyUI_KSamplerTimer": [
+        [
+            "KSamplerTimer"
+        ],
+        {
+            "author": "Ludovic Anterieur",
+            "description": "This extension provides a wrapper of the native KSampler which outputs generation time.",
+            "nickname": "\u23f1",
+            "title": "KSampler (timer)",
+            "title_aux": "ComfyUI_KSamplerTimer"
+        }
+    ],
+    "https://github.com/nagolinc/ComfyUI_FastVAEDecorder_SDXL": [
+        [
+            "FastLatentToImage"
+        ],
+        {
+            "title_aux": "ComfyUI_FastVAEDecorder_SDXL"
+        }
+    ],
+    "https://github.com/nagolinc/comfyui_openai_node": [
+        [
+            "OpenAINode"
+        ],
+        {
+            "title_aux": "comfyui_openai_node"
+        }
+    ],
+    "https://github.com/natto-maki/ComfyUI-NegiTools": [
+        [
+            "NegiTools_CompositeImages",
+            "NegiTools_DepthEstimationByMarigold",
+            "NegiTools_DetectFaceRotationForInpainting",
+            "NegiTools_ImageProperties",
+            "NegiTools_LatentProperties",
+            "NegiTools_NoiseImageGenerator",
+            "NegiTools_OpenAiDalle3",
+            "NegiTools_OpenAiGpt",
+            "NegiTools_OpenAiGpt4v",
+            "NegiTools_OpenAiTranslate",
+            "NegiTools_OpenPoseToPointList",
+            "NegiTools_PointListToMask",
+            "NegiTools_RandomImageLoader",
+            "NegiTools_SaveImageToDirectory",
+            "NegiTools_SeedGenerator",
+            "NegiTools_StereoImageGenerator",
+            "NegiTools_StringFunction"
+        ],
+        {
+            "title_aux": "ComfyUI-NegiTools"
+        }
+    ],
+    "https://github.com/neverbiasu/ComfyUI-Image-Captioner": [
+        [
+            "ImageCaptioner"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Captioner"
+        }
+    ],
+    "https://github.com/neverbiasu/ComfyUI-SAM2": [
+        [
+            "GroundingDinoModelLoader (segment anything)",
+            "GroundingDinoSAMSegment (segment anything)",
+            "InvertMask (segment anything)",
+            "IsMaskEmpty",
+            "SAM2ModelLoader (segment anything)"
+        ],
+        {
+            "title_aux": "ComfyUI SAM2(Segment Anything 2)"
+        }
+    ],
+    "https://github.com/neverbiasu/ComfyUI-StyleShot": [
+        [
+            "StyleShotApply"
+        ],
+        {
+            "title_aux": "ComfyUI-StyleShot"
+        }
+    ],
+    "https://github.com/nicehero/comfyui-SegGPT": [
+        [
+            "SegGPT"
+        ],
+        {
+            "title_aux": "comfyui-SegGPT"
+        }
+    ],
+    "https://github.com/nickve28/ComfyUI-Nich-Utils": [
+        [
+            "Image from Dir Selector (Nich)",
+            "Select Text with Regular Expression (Nich)"
+        ],
+        {
+            "title_aux": "ComfyUI Nich Utils"
+        }
+    ],
+    "https://github.com/nicolai256/comfyUI_Nodes_nicolai256/raw/main/yugioh-presets.py": [
+        [
+            "yugioh_Presets"
+        ],
+        {
+            "title_aux": "comfyUI_Nodes_nicolai256"
+        }
+    ],
+    "https://github.com/ningxiaoxiao/comfyui-NDI": [
+        [
+            "NDI_LoadImage",
+            "NDI_SendImage"
+        ],
+        {
+            "title_aux": "comfyui-NDI"
+        }
+    ],
+    "https://github.com/nirbhay-faaya/ImgProcessing_ComfyUI": [
+        [
+            "ImageConcat",
+            "ImageCropMultEight",
+            "ImageCut",
+            "LightingPreprocessor"
+        ],
+        {
+            "title_aux": "ImgProcessing_ComfyUI"
+        }
+    ],
+    "https://github.com/nirex0/ComfyUI_pytorch_openpose": [
+        [
+            "pytorch_openpose"
+        ],
+        {
+            "title_aux": "ComfyUI_pytorch_openpose"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-Dart": [
+        [
+            "DanbooruTagsTransformerBanTagsFromRegex",
+            "DanbooruTagsTransformerComposePrompt",
+            "DanbooruTagsTransformerComposePromptV2",
+            "DanbooruTagsTransformerDecode",
+            "DanbooruTagsTransformerDecodeBySplitedParts",
+            "DanbooruTagsTransformerGenerate",
+            "DanbooruTagsTransformerGenerateAdvanced",
+            "DanbooruTagsTransformerGenerationConfig",
+            "DanbooruTagsTransformerGetAspectRatio",
+            "DanbooruTagsTransformerLoader",
+            "DanbooruTagsTransformerRearrangedByAnimagine",
+            "DanbooruTagsTransformerRemoveTagToken"
+        ],
+        {
+            "title_aux": "ComfyUI-Dart"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-PromptUtilities": [
+        [
+            "PromptUtilitiesConstString",
+            "PromptUtilitiesConstStringMultiLine",
+            "PromptUtilitiesFormatString",
+            "PromptUtilitiesJoinStringList",
+            "PromptUtilitiesLoadPreset",
+            "PromptUtilitiesLoadPresetAdvanced",
+            "PromptUtilitiesPromptWeight",
+            "PromptUtilitiesRandomPreset",
+            "PromptUtilitiesRandomPresetAdvanced",
+            "PromptUtilitiesReplaceOrInsertTag",
+            "PromptUtilitiesRoundPromptWeight"
+        ],
+        {
+            "title_aux": "ComfyUI-PromptUtilities"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData": [
+        [
+            "CreateExtraMetaData",
+            "SaveImageWithMetaData"
+        ],
+        {
+            "title_aux": "ComfyUI-SaveImageWithMetaData"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-SizeFromPresets": [
+        [
+            "EmptyLatentImageFromPresetsSD15",
+            "EmptyLatentImageFromPresetsSDXL",
+            "GetSimilarResolution",
+            "GetSimilarResolutionEmptyLatent",
+            "RandomEmptyLatentImageFromPresetsSD15",
+            "RandomEmptyLatentImageFromPresetsSDXL",
+            "RandomSizeFromPresetsSD15",
+            "RandomSizeFromPresetsSDXL",
+            "SizeFromPresetsSD15",
+            "SizeFromPresetsSDXL"
+        ],
+        {
+            "title_aux": "ComfyUI-SizeFromPresets"
+        }
+    ],
+    "https://github.com/nkchocoai/ComfyUI-TextOnSegs": [
+        [
+            "CalcMaxFontSize",
+            "ExtractDominantColor",
+            "GetComplementaryColor",
+            "SegsToRegion",
+            "TextOnSegsFloodFill"
+        ],
+        {
+            "title_aux": "ComfyUI-TextOnSegs"
+        }
+    ],
+    "https://github.com/noarche/sd-webui-color-enhance": [
+        [
+            "MMakerColorBlend",
+            "MMakerColorEnhance"
+        ],
+        {
+            "title_aux": "noarche/Color Enhance"
+        }
+    ],
+    "https://github.com/noembryo/ComfyUI-noEmbryo": [
+        [
+            "PromptTermList1",
+            "PromptTermList2",
+            "PromptTermList3",
+            "PromptTermList4",
+            "PromptTermList5",
+            "PromptTermList6"
+        ],
+        {
+            "author": "noEmbryo",
+            "description": "Some useful nodes for ComfyUI",
+            "nickname": "noEmbryo",
+            "title": "noEmbryo nodes",
+            "title_aux": "noEmbryo nodes"
+        }
+    ],
+    "https://github.com/nosiu/comfyui-instantId-faceswap": [
+        [
+            "FaceEmbed",
+            "FaceSwapGenerationInpaint",
+            "FaceSwapSetupPipeline",
+            "LCMLora"
+        ],
+        {
+            "title_aux": "ComfyUI InstantID Faceswapper"
+        }
+    ],
+    "https://github.com/noxinias/ComfyUI_NoxinNodes": [
+        [
+            "NoxinChime",
+            "NoxinPromptLoad",
+            "NoxinPromptSave",
+            "NoxinScaledResolution",
+            "NoxinSimpleMath",
+            "NoxinSplitPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI_NoxinNodes"
+        }
+    ],
+    "https://github.com/ntc-ai/ComfyUI-DARE-LoRA-Merge": [
+        [
+            "Apply LoRA",
+            "DARE Merge LoRA Stack",
+            "Save LoRA"
+        ],
+        {
+            "title_aux": "ComfyUI - Apply LoRA Stacker with DARE"
+        }
+    ],
+    "https://github.com/ntdviet/comfyui-ext/raw/main/custom_nodes/gcLatentTunnel/gcLatentTunnel.py": [
+        [
+            "gcLatentTunnel"
+        ],
+        {
+            "title_aux": "ntdviet/comfyui-ext"
+        }
+    ],
+    "https://github.com/nuanarchy/ComfyUI-NuA-BIRD": [
+        [
+            "Bird_Deblurring_NuA",
+            "Bird_Denoising_NuA",
+            "Bird_Inpainting_NuA",
+            "Bird_Loader_NuA",
+            "Bird_Non_Uniform_Deblurring_NuA",
+            "Bird_Super_Resolution_NuA"
+        ],
+        {
+            "title_aux": "ComfyUI-NuA-BIRD"
+        }
+    ],
+    "https://github.com/nuanarchy/ComfyUI-NuA-FlashFace": [
+        [
+            "FlashFace_Loader_NuA",
+            "FlashFace_Sampler_NuA"
+        ],
+        {
+            "title_aux": "ComfyUI-NuA-FlashFace"
+        }
+    ],
+    "https://github.com/nullquant/ComfyUI-BrushNet": [
+        [
+            "BlendInpaint",
+            "BrushNet",
+            "BrushNetLoader",
+            "CutForInpaint",
+            "PowerPaint",
+            "PowerPaintCLIPLoader",
+            "RAUNet",
+            "Terminal"
+        ],
+        {
+            "author": "nullquant",
+            "description": "These are custom nodes for ComfyUI native implementation of BrushNet, PowerPaint and RAUNet models",
+            "nickname": "BrushName nodes",
+            "title": "BrushNet",
+            "title_aux": "BrushNet"
+        }
+    ],
+    "https://github.com/nux1111/ComfyUI_NetDist_Plus": [
+        [
+            "CombineImageBatch",
+            "ConditioningFromBase64(Nux)",
+            "ConditioningToBase64(Nux)",
+            "ExtractBase64FromImage(Nux)",
+            "ExtractBase64FromImageUpload(Nux)",
+            "FetchRemote",
+            "FetchRemoteWithExtras(Nux)",
+            "LatentToBase64(Nux)",
+            "LoadCurrentWorkflowJSON",
+            "LoadDiskWorkflowJSON",
+            "LoadImageUrl",
+            "LoadLatentFromBase64(Nux)",
+            "LoadLatentNumpy",
+            "LoadLatentUrl",
+            "LoadWorkflowJSON",
+            "RemoteApplyValues(Nux)",
+            "RemoteApplyValuesMulti(Nux)",
+            "RemoteChainEnd",
+            "RemoteChainStart",
+            "RemoteChainStart(Nux)",
+            "RemoteQueueSimple",
+            "RemoteQueueSimple(Nux)",
+            "RemoteQueueWorker",
+            "SaveDiskWorkflowJSON",
+            "SaveImageUrl",
+            "SaveImageWithBase64(Nux)",
+            "SaveLatentNumpy"
+        ],
+        {
+            "title_aux": "ComfyUI_NetDist_Plus"
+        }
+    ],
+    "https://github.com/okgo4/ComfyUI-Mosaic-Mask": [
+        [
+            "MosaicMask"
+        ],
+        {
+            "title_aux": "ComfyUI-Mosaic-Mask"
+        }
+    ],
+    "https://github.com/olduvai-jp/ComfyUI-HfLoader": [
+        [
+            "Lora Loader From HF"
+        ],
+        {
+            "title_aux": "ComfyUI-HfLoader"
+        }
+    ],
+    "https://github.com/oleksandr612/ComfyUI-Counter": [
+        [
+            "Simple Counter"
+        ],
+        {
+            "title_aux": "ComfyUI-Counter"
+        }
+    ],
+    "https://github.com/omar92/ComfyUI-QualityOfLifeSuit_Omar92": [
+        [
+            "CLIPStringEncode _O",
+            "Chat completion _O",
+            "ChatGPT Simple _O",
+            "ChatGPT _O",
+            "ChatGPT compact _O",
+            "Chat_Completion _O",
+            "Chat_Message _O",
+            "Chat_Message_fromString _O",
+            "Concat Text _O",
+            "ConcatRandomNSP_O",
+            "Debug String _O",
+            "Debug Text _O",
+            "Debug Text route _O",
+            "Edit_image _O",
+            "Equation1param _O",
+            "Equation2params _O",
+            "GetImage_(Width&Height) _O",
+            "GetLatent_(Width&Height) _O",
+            "ImageScaleFactor _O",
+            "ImageScaleFactorSimple _O",
+            "LatentUpscaleFactor _O",
+            "LatentUpscaleFactorSimple _O",
+            "LatentUpscaleMultiply",
+            "Note _O",
+            "RandomNSP _O",
+            "Replace Text _O",
+            "String _O",
+            "Text _O",
+            "Text2Image _O",
+            "Trim Text _O",
+            "VAEDecodeParallel _O",
+            "combine_chat_messages _O",
+            "compine_chat_messages _O",
+            "concat Strings _O",
+            "create image _O",
+            "create_image _O",
+            "debug Completeion _O",
+            "debug messages_O",
+            "float _O",
+            "floatToInt _O",
+            "floatToText _O",
+            "int _O",
+            "intToFloat _O",
+            "load_openAI _O",
+            "replace String _O",
+            "replace String advanced _O",
+            "saveTextToFile _O",
+            "seed _O",
+            "selectLatentFromBatch _O",
+            "string2Image _O",
+            "trim String _O",
+            "variation_image _O"
+        ],
+        {
+            "title_aux": "Quality of life Suit:V2"
+        }
+    ],
+    "https://github.com/opvelll/ComfyUI_TextListProduct": [
+        [
+            "ProductedString",
+            "TextListProduct",
+            "TextListProductWithSingleA",
+            "TextListProductWithSingleB",
+            "TextListProductWithSingleBoth"
+        ],
+        {
+            "title_aux": "Comfy UI Text List Product"
+        }
+    ],
+    "https://github.com/osi1880vr/prompt_quill_comfyui": [
+        [
+            "PromptQuillGenerate",
+            "PromptQuillGenerateConditioning",
+            "PromptQuillSail",
+            "PromptQuillSailConditioning"
+        ],
+        {
+            "title_aux": "ComfyUI_Prompt-Quill"
+        }
+    ],
+    "https://github.com/ostris/ostris_nodes_comfyui": [
+        [
+            "LLM Pipe Loader - Ostris",
+            "LLM Prompt Upsampling - Ostris",
+            "One Seed - Ostris",
+            "Text Box - Ostris"
+        ],
+        {
+            "nodename_pattern": "- Ostris$",
+            "title_aux": "Ostris Nodes ComfyUI"
+        }
+    ],
+    "https://github.com/ownimage/ComfyUI-ownimage": [
+        [
+            "Caching Image Loader"
+        ],
+        {
+            "title_aux": "ComfyUI-ownimage"
+        }
+    ],
+    "https://github.com/oyvindg/ComfyUI-TrollSuite": [
+        [
+            "BinaryImageMask",
+            "ImagePadding",
+            "LoadLastImage",
+            "RandomMask",
+            "TransparentImage"
+        ],
+        {
+            "title_aux": "ComfyUI-TrollSuite"
+        }
+    ],
+    "https://github.com/oztrkoguz/ComfyUI_StoryCreator": [
+        [
+            "Kosmos2SamplerSimple2",
+            "KosmosLoader2",
+            "StoryLoader",
+            "StorySamplerSimple",
+            "Write2"
+        ],
+        {
+            "title_aux": "ComfyUI StoryCreater"
+        }
+    ],
+    "https://github.com/palant/extended-saveimage-comfyui": [
+        [
+            "SaveImageExtended"
+        ],
+        {
+            "title_aux": "Extended Save Image for ComfyUI"
+        }
+    ],
+    "https://github.com/palant/image-resize-comfyui": [
+        [
+            "ImageResize"
+        ],
+        {
+            "title_aux": "Image Resize for ComfyUI"
+        }
+    ],
+    "https://github.com/pamparamm/ComfyUI-ppm": [
+        [
+            "AttentionCouplePPM",
+            "CFGLimiterGuider",
+            "CFGPPSamplerSelect",
+            "CLIPMicroConditioning",
+            "CLIPNegPip",
+            "CLIPTextEncodeBREAK",
+            "CLIPTokenCounter",
+            "DynSamplerSelect",
+            "EmptyLatentImageAR",
+            "EmptyLatentImageARAdvanced",
+            "Guidance Limiter",
+            "LatentToMaskBB",
+            "LatentToWidthHeight",
+            "RandomPromptGenerator",
+            "StableCascade_AutoCompLatent"
+        ],
+        {
+            "title_aux": "ComfyUI-ppm"
+        }
+    ],
+    "https://github.com/pamparamm/ComfyUI-vectorscope-cc": [
+        [
+            "DiffusionCG",
+            "NormalizeLatent",
+            "VectorscopeCC"
+        ],
+        {
+            "title_aux": "ComfyUI Vectorscope CC"
+        }
+    ],
+    "https://github.com/pamparamm/sd-perturbed-attention": [
+        [
+            "PerturbedAttention",
+            "SmoothedEnergyGuidanceAdvanced",
+            "TRTAttachPag",
+            "TRTPerturbedAttention"
+        ],
+        {
+            "title_aux": "Perturbed-Attention Guidance"
+        }
+    ],
+    "https://github.com/pants007/comfy-pants": [
+        [
+            "CLIPTextEncodeAIO",
+            "Image Make Square"
+        ],
+        {
+            "title_aux": "pants"
+        }
+    ],
+    "https://github.com/patriciogonzalezvivo/comfyui_glslnodes": [
+        [
+            "float",
+            "glslBuffers",
+            "glslEditor",
+            "glslEditorPro",
+            "glslUniforms",
+            "glslViewer",
+            "int",
+            "vec2",
+            "vec2 (pos)",
+            "vec3",
+            "vec3 (pos)",
+            "vec4",
+            "vec4 (color)"
+        ],
+        {
+            "author": "Patricio Gonzalez Vivo",
+            "description": "A set of nodes to work with GLSL shaders",
+            "nickname": "GLSL Nodes",
+            "title": "GLSL Nodes",
+            "title_aux": "GLSL Nodes"
+        }
+    ],
+    "https://github.com/paulo-coronado/comfy_clip_blip_node": [
+        [
+            "CLIPTextEncodeBLIP",
+            "CLIPTextEncodeBLIP-2",
+            "Example"
+        ],
+        {
+            "title_aux": "comfy_clip_blip_node"
+        }
+    ],
+    "https://github.com/pbpbpb2705/ComfyUI-LyraVSIH": [
+        [
+            "MultiObjectMask"
+        ],
+        {
+            "title_aux": "ComfyUI-LyraVSIH"
+        }
+    ],
+    "https://github.com/philz1337x/ComfyUI-ClarityAI": [
+        [
+            "Clarity AI Upscaler"
+        ],
+        {
+            "title_aux": "\u2728 Clarity AI - Creative Image Upscaler and Enhancer for ComfyUI"
+        }
+    ],
+    "https://github.com/phyblas/paint-by-example_comfyui": [
+        [
+            "PaintbyExampleAdvanced",
+            "PaintbyExampleGen",
+            "PaintbyExampleSimple",
+            "PaintbyIchimatsu",
+            "PaintbySingleColor"
+        ],
+        {
+            "title_aux": "paint-by-example @ ComfyUI"
+        }
+    ],
+    "https://github.com/picturesonpictures/comfy_PoP": [
+        [
+            "AdaptiveCannyDetector_PoP",
+            "AnyAspectRatio",
+            "ConditioningMultiplier_PoP",
+            "ConditioningNormalizer_PoP",
+            "DallE3_PoP",
+            "EfficientAttention",
+            "LoadImageResizer_PoP",
+            "LoraStackLoader10_PoP",
+            "LoraStackLoader_PoP",
+            "VAEDecoderPoP",
+            "VAEEncoderPoP"
+        ],
+        {
+            "title_aux": "comfy_PoP"
+        }
+    ],
+    "https://github.com/pikenrover/ComfyUI_PRNodes": [
+        [
+            "CheckpointLoaderSimpleExtended",
+            "EmptyLatentImageScaleBy",
+            "ImageScaleTo",
+            "LoadRandomImage",
+            "LoraLoaderExtended",
+            "RandomPrompt",
+            "RandomPromptMixed",
+            "Save Image w/Metadata"
+        ],
+        {
+            "title_aux": "ComfyUI_PRNodes"
+        }
+    ],
+    "https://github.com/pkpkTech/ComfyUI-SaveAVIF": [
+        [
+            "SaveAvif"
+        ],
+        {
+            "title_aux": "ComfyUI-SaveAVIF"
+        }
+    ],
+    "https://github.com/pkpkTech/ComfyUI-TemporaryLoader": [
+        [
+            "LoadTempCheckpoint",
+            "LoadTempLoRA",
+            "LoadTempMultiLoRA"
+        ],
+        {
+            "title_aux": "ComfyUI-TemporaryLoader"
+        }
+    ],
+    "https://github.com/portu-sim/comfyui_bmab": [
+        [
+            "BMAB Alpha Composit",
+            "BMAB Basic",
+            "BMAB Black And White",
+            "BMAB Blend",
+            "BMAB Clip Text Encoder SDXL",
+            "BMAB Conditioning To Bind",
+            "BMAB Context",
+            "BMAB ControlNet",
+            "BMAB ControlNet IPAdapter",
+            "BMAB ControlNet Openpose",
+            "BMAB Crop",
+            "BMAB Detail Anything",
+            "BMAB Detect And Mask",
+            "BMAB Detect And Paste",
+            "BMAB Detection Crop",
+            "BMAB Detector",
+            "BMAB Edge",
+            "BMAB Extractor",
+            "BMAB Face Detailer",
+            "BMAB Flux ControlNet",
+            "BMAB Flux Integrator",
+            "BMAB Google Gemini Prompt",
+            "BMAB Import Integrator",
+            "BMAB Integrator",
+            "BMAB KSampler",
+            "BMAB KSamplerHiresFix",
+            "BMAB KSamplerHiresFixWithUpscaler",
+            "BMAB KSamplerKohyaDeepShrink",
+            "BMAB Lama Inpaint",
+            "BMAB LoRA Loader",
+            "BMAB Load Image",
+            "BMAB Load Output Image",
+            "BMAB Masks To Images",
+            "BMAB Model To Bind",
+            "BMAB Noise Generator",
+            "BMAB Openpose Hand Detailer",
+            "BMAB Person Detailer",
+            "BMAB Preview Text",
+            "BMAB Prompt",
+            "BMAB Remote Access And Save",
+            "BMAB Remove Background",
+            "BMAB Resize By Person",
+            "BMAB Resize By Ratio",
+            "BMAB Resize and Fill",
+            "BMAB SD-WebUI API BMAB Extension",
+            "BMAB SD-WebUI API ControlNet",
+            "BMAB SD-WebUI API I2I",
+            "BMAB SD-WebUI API Server",
+            "BMAB SD-WebUI API T2I",
+            "BMAB SD-WebUI API T2I Hires.Fix",
+            "BMAB Save Image",
+            "BMAB SeedGenerator",
+            "BMAB Segment Anything",
+            "BMAB Simple Hand Detailer",
+            "BMAB Square",
+            "BMAB Subframe Hand Detailer",
+            "BMAB Text",
+            "BMAB Upscale With Model",
+            "BMAB Upscaler",
+            "BMAB Watermark",
+            "BMAB Zoom Out"
+        ],
+        {
+            "title_aux": "comfyui_bmab"
+        }
+    ],
+    "https://github.com/prodogape/ComfyUI-EasyOCR": [
+        [
+            "Apply EasyOCR"
+        ],
+        {
+            "title_aux": "ComfyUI-EasyOCR"
+        }
+    ],
+    "https://github.com/prodogape/ComfyUI-Minio": [
+        [
+            "Load Image From Minio",
+            "Save Image To Minio",
+            "Set Minio Config"
+        ],
+        {
+            "title_aux": "Comfyui-Minio"
+        }
+    ],
+    "https://github.com/prodogape/ComfyUI-OmDet": [
+        [
+            "Apply OmDet"
+        ],
+        {
+            "title_aux": "ComfyUI-OmDet"
+        }
+    ],
+    "https://github.com/prodogape/Comfyui-Yolov8-JSON": [
+        [
+            "Apply Yolov8 Model",
+            "Apply Yolov8 Model Seg",
+            "Draw Labelme Json",
+            "Load Yolov8 Model",
+            "Load Yolov8 Model From Path",
+            "Save Labelme Json"
+        ],
+        {
+            "title_aux": "Comfyui-Yolov8-JSON"
+        }
+    ],
+    "https://github.com/pythongosssss/ComfyUI-Custom-Scripts": [
+        [
+            "CheckpointLoader|pysssss",
+            "ConstrainImageforVideo|pysssss",
+            "ConstrainImage|pysssss",
+            "LoadText|pysssss",
+            "LoraLoader|pysssss",
+            "MathExpression|pysssss",
+            "MultiPrimitive|pysssss",
+            "PlaySound|pysssss",
+            "Repeater|pysssss",
+            "ReroutePrimitive|pysssss",
+            "SaveText|pysssss",
+            "ShowText|pysssss",
+            "StringFunction|pysssss",
+            "SystemNotification|pysssss"
+        ],
+        {
+            "title_aux": "pythongosssss/ComfyUI-Custom-Scripts"
+        }
+    ],
+    "https://github.com/pythongosssss/ComfyUI-WD14-Tagger": [
+        [
+            "WD14Tagger|pysssss"
+        ],
+        {
+            "title_aux": "ComfyUI WD 1.4 Tagger"
+        }
+    ],
+    "https://github.com/pzc163/Comfyui_MiniCPMv2_6-prompt-generator": [
+        [
+            "Prompt_Generator",
+            "Save_Prompts"
+        ],
+        {
+            "title_aux": "Comfyui_MiniCPMv2_6-prompt-generator"
+        }
+    ],
+    "https://github.com/qwixiwp/queuetools": [
+        [
+            "load images (queue tools)"
+        ],
+        {
+            "title_aux": "queuetools"
+        }
+    ],
+    "https://github.com/ramyma/A8R8_ComfyUI_nodes": [
+        [
+            "AttentionCouple",
+            "AttentionCoupleRegion",
+            "AttentionCoupleRegions",
+            "Base64ImageInput",
+            "Base64ImageOutput"
+        ],
+        {
+            "title_aux": "A8R8 ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/randjtw/advance-aesthetic-score": [
+        [
+            "Adv_Scoring"
+        ],
+        {
+            "title_aux": "advance-aesthetic-score"
+        }
+    ],
+    "https://github.com/ratulrafsan/Comfyui-SAL-VTON": [
+        [
+            "SALVTON_Apply",
+            "SV_random"
+        ],
+        {
+            "title_aux": "Comfyui-SAL-VTON"
+        }
+    ],
+    "https://github.com/rcfcu2000/zhihuige-nodes-comfyui": [
+        [
+            "Combine ZHGMasks",
+            "Cover ZHGMasks",
+            "From ZHG pip",
+            "GroundingDinoModelLoader (zhihuige)",
+            "GroundingDinoPIPESegment (zhihuige)",
+            "GroundingDinoSAMSegment (zhihuige)",
+            "InvertMask (zhihuige)",
+            "SAMModelLoader (zhihuige)",
+            "To ZHG pip",
+            "ZHG FaceIndex",
+            "ZHG GetMaskArea",
+            "ZHG Image Levels",
+            "ZHG SaveImage",
+            "ZHG SmoothEdge",
+            "ZHG UltimateSDUpscale"
+        ],
+        {
+            "title_aux": "zhihuige-nodes-comfyui"
+        }
+    ],
+    "https://github.com/rcsaquino/comfyui-custom-nodes": [
+        [
+            "BackgroundRemover | rcsaquino",
+            "VAELoader | rcsaquino",
+            "VAEProcessor | rcsaquino"
+        ],
+        {
+            "title_aux": "rcsaquino/comfyui-custom-nodes"
+        }
+    ],
+    "https://github.com/receyuki/comfyui-prompt-reader-node": [
+        [
+            "SDAnyConverter",
+            "SDBatchLoader",
+            "SDLoraLoader",
+            "SDLoraSelector",
+            "SDParameterExtractor",
+            "SDParameterGenerator",
+            "SDPromptMerger",
+            "SDPromptReader",
+            "SDPromptSaver",
+            "SDTypeConverter"
+        ],
+        {
+            "author": "receyuki",
+            "description": "The ultimate solution for managing image metadata and multi-tool compatibility. ComfyUI node version of the SD Prompt Reader",
+            "nickname": "SD Prompt Reader",
+            "title": "SD Prompt Reader",
+            "title_aux": "SD Prompt Reader"
+        }
+    ],
+    "https://github.com/redhottensors/ComfyUI-Prediction": [
+        [
+            "AvoidErasePrediction",
+            "CFGPrediction",
+            "CharacteristicGuidancePrediction",
+            "CombinePredictions",
+            "ConditionedPrediction",
+            "EarlyMiddleLatePrediction",
+            "InterpolatePredictions",
+            "LogSigmas",
+            "PerpNegPrediction",
+            "SamplerCustomPrediction",
+            "ScalePrediction",
+            "ScaledGuidancePrediction",
+            "SelectSigmas",
+            "SplitAtSigma",
+            "SwitchPredictions"
+        ],
+        {
+            "author": "RedHotTensors",
+            "description": "Fully customizable Classifer Free Guidance for ComfyUI",
+            "nickname": "ComfyUI-Prediction",
+            "title": "ComfyUI-Prediction",
+            "title_aux": "ComfyUI-Prediction"
+        }
+    ],
+    "https://github.com/rgthree/rgthree-comfy": [
+        [],
+        {
+            "author": "rgthree",
+            "description": "A bunch of nodes I created that I also find useful.",
+            "nickname": "rgthree",
+            "nodename_pattern": " \\(rgthree\\)$",
+            "title": "Comfy Nodes",
+            "title_aux": "rgthree's ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/rhdunn/comfyui-audio-processing": [
+        [
+            "ComfyAudio.ApplyFilterBank",
+            "ComfyAudio.GriffinLim",
+            "ComfyAudio.InverseSpectrogram",
+            "ComfyAudio.LinearFilterBank",
+            "ComfyAudio.LoadAudio",
+            "ComfyAudio.MelScaleFilterBank",
+            "ComfyAudio.PlotFilterBank",
+            "ComfyAudio.PlotSpectrogram",
+            "ComfyAudio.PlotWaveform",
+            "ComfyAudio.Spectrogram"
+        ],
+        {
+            "title_aux": "comfyui-audio-processing"
+        }
+    ],
+    "https://github.com/rhdunn/comfyui-bus-plugin": [
+        [
+            "ComfyBus.CLIPConditioningBusNode",
+            "ComfyBus.CLIPEncodedPromptBusNode",
+            "ComfyBus.CheckpointBusNode",
+            "ComfyBus.ImageBusNode",
+            "ComfyBus.ImageParameterBusNode",
+            "ComfyBus.ImageScaleToSideParameterBusNode",
+            "ComfyBus.ImageSizeBusNode",
+            "ComfyBus.LatentImageBusNode",
+            "ComfyBus.LatentImageParameterBusNode",
+            "ComfyBus.PromptBusNode",
+            "ComfyBus.PromptSDXLBusNode"
+        ],
+        {
+            "title_aux": "comfyui-bus-plugin"
+        }
+    ],
+    "https://github.com/richinsley/Comfy-LFO": [
+        [
+            "LFO_Pulse",
+            "LFO_Sawtooth",
+            "LFO_Sine",
+            "LFO_Square",
+            "LFO_Triangle"
+        ],
+        {
+            "title_aux": "Comfy-LFO"
+        }
+    ],
+    "https://github.com/ricklove/comfyui-ricklove": [
+        [
+            "RL_Crop_Resize",
+            "RL_Crop_Resize_Batch",
+            "RL_Finetune_Analyze",
+            "RL_Finetune_Analyze_Batch",
+            "RL_Finetune_Variable",
+            "RL_Image_Shadow",
+            "RL_Image_Threshold_Channels",
+            "RL_Internet_Search",
+            "RL_LoadImageSequence",
+            "RL_Optical_Flow_Dip",
+            "RL_SaveImageSequence",
+            "RL_Uncrop",
+            "RL_Warp_Image",
+            "RL_Zoe_Depth_Map_Preprocessor",
+            "RL_Zoe_Depth_Map_Preprocessor_Raw_Infer",
+            "RL_Zoe_Depth_Map_Preprocessor_Raw_Process"
+        ],
+        {
+            "title_aux": "comfyui-ricklove"
+        }
+    ],
+    "https://github.com/risunobushi/comfyUI_FrequencySeparation_RGB-HSV": [
+        [
+            "FrequencyCombination",
+            "FrequencyCombinationHSV",
+            "FrequencySeparation",
+            "FrequencySeparationHSV"
+        ],
+        {
+            "title_aux": "comfyUI_FrequencySeparation_RGB-HSV"
+        }
+    ],
+    "https://github.com/rklaffehn/rk-comfy-nodes": [
+        [
+            "RK_CivitAIAddHashes",
+            "RK_CivitAIMetaChecker"
+        ],
+        {
+            "title_aux": "rk-comfy-nodes"
+        }
+    ],
+    "https://github.com/romeobuilderotti/ComfyUI-PNG-Metadata": [
+        [
+            "SetMetadataAll",
+            "SetMetadataString"
+        ],
+        {
+            "title_aux": "ComfyUI PNG Metadata"
+        }
+    ],
+    "https://github.com/ronniebasak/ComfyUI-Tara-LLM-Integration": [
+        [
+            "TaraAdvancedComposition",
+            "TaraApiKeyLoader",
+            "TaraApiKeySaver",
+            "TaraDaisyChainNode",
+            "TaraLLMConfig",
+            "TaraPresetLLMConfig",
+            "TaraPrompter",
+            "TaraPrompterAdvanced"
+        ],
+        {
+            "title_aux": "ComfyUI-Tara-LLM-Integration"
+        }
+    ],
+    "https://github.com/royceschultz/ComfyUI-Notifications": [
+        [
+            "Notif-PlaySound",
+            "Notif-SystemNotification",
+            "Notif-UnifiedNotification",
+            "Notif-Webhook"
+        ],
+        {
+            "title_aux": "ComfyUI-Notifications"
+        }
+    ],
+    "https://github.com/royceschultz/ComfyUI-TranscriptionTools": [
+        [
+            "TT-AudioSink",
+            "TT-ConvertVhsAudioToAudio",
+            "TT-LoadAudio",
+            "TT-LoadBatch",
+            "TT-LoadVideoAudio",
+            "TT-LoadWhisperModel",
+            "TT-WhisperTranscription",
+            "TT-WhisperTranscriptionBatch"
+        ],
+        {
+            "title_aux": "ComfyUI-TranscriptionTools"
+        }
+    ],
+    "https://github.com/rui40000/RUI-Nodes": [
+        [
+            "ABCondition",
+            "CharacterCount"
+        ],
+        {
+            "title_aux": "RUI-Nodes"
+        }
+    ],
+    "https://github.com/ruiqutech/ComfyUI-RuiquNodes": [
+        [
+            "EvaluateListMultiple1",
+            "EvaluateListMultiple3",
+            "EvaluateListMultiple6",
+            "EvaluateListMultiple9",
+            "EvaluateMultiple1",
+            "EvaluateMultiple3",
+            "EvaluateMultiple6",
+            "EvaluateMultiple9",
+            "ImageDilate",
+            "ImageErode",
+            "ListPath",
+            "MaskDilate",
+            "MaskErode",
+            "PreviewMask",
+            "RangeSplit",
+            "SaveMask",
+            "StringAsAny",
+            "StringConcat1",
+            "StringConcat3",
+            "StringConcat6",
+            "StringConcat9",
+            "StringPathStem",
+            "TermsToList",
+            "VAEDecodeSave"
+        ],
+        {
+            "title_aux": "RuiquNodes for ComfyUI"
+        }
+    ],
+    "https://github.com/runtime44/comfyui_r44_nodes": [
+        [
+            "Runtime44ColorMatch",
+            "Runtime44DynamicKSampler",
+            "Runtime44FilmGrain",
+            "Runtime44ImageEnhance",
+            "Runtime44ImageOverlay",
+            "Runtime44ImageResizer",
+            "Runtime44ImageToNoise",
+            "Runtime44IterativeUpscaleFactor",
+            "Runtime44MaskSampler",
+            "Runtime44TiledMaskSampler",
+            "Runtime44Upscaler"
+        ],
+        {
+            "title_aux": "Runtime44 ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside": [
+        [
+            "AudioFeatureExtractor",
+            "AudioFeatureVisualizer",
+            "AudioFilter",
+            "AudioSeparator",
+            "BrightnessFeatureNode",
+            "ColorFeatureNode",
+            "DepthBasedMaskOpacity",
+            "DepthFeatureNode",
+            "DownloadOpenUnmixModel",
+            "DyeImage",
+            "EmitterMovement",
+            "FeatureMath",
+            "FeatureMixer",
+            "FeatureOscillator",
+            "FeatureScaler",
+            "FeatureSmoothing",
+            "FeatureToWeightsStrategy",
+            "FlexDepthBasedMaskOpacity",
+            "FlexImageBloom",
+            "FlexImageChromaticAberration",
+            "FlexImageColorGrade",
+            "FlexImageEdgeDetect",
+            "FlexImageGlitch",
+            "FlexImageKaleidoscope",
+            "FlexImagePixelate",
+            "FlexImagePosterize",
+            "FlexImageTiltShift",
+            "FlexMaskBinary",
+            "FlexMaskEmanatingRings",
+            "FlexMaskMath",
+            "FlexMaskMorph",
+            "FlexMaskOpacity",
+            "FlexMaskRandomShapes",
+            "FlexMaskTransform",
+            "FlexMaskVoronoiScheduled",
+            "FlexMaskWarp",
+            "FlexMaskWavePropagation",
+            "FrequencyFilterCustom",
+            "FrequencyFilterPreset",
+            "GravityWell",
+            "ImageChunk",
+            "ImageDifference",
+            "ImageInterval",
+            "ImageShuffle",
+            "MIDILoadAndExtract",
+            "MaskMath",
+            "MaskMorph",
+            "MaskRings",
+            "MaskTransform",
+            "MaskWarp",
+            "MotionFeatureNode",
+            "MovingShape",
+            "OpticalFlowDirectionMask",
+            "OpticalFlowMaskModulation",
+            "OpticalFlowParticleSystem",
+            "ParticleColorModulation",
+            "ParticleEmissionMask",
+            "ParticleEmitter",
+            "ParticleSizeModulation",
+            "ParticleSpeedModulation",
+            "SpringJointSetting",
+            "StaticBody",
+            "SwapDevice",
+            "TextMaskNode",
+            "TimeFeatureNode",
+            "VideoChunk",
+            "Vortex",
+            "_mfc"
+        ],
+        {
+            "title_aux": "RyanOnTheInside"
+        }
+    ],
+    "https://github.com/s1dlx/comfy_meh/raw/main/meh.py": [
+        [
+            "MergingExecutionHelper"
+        ],
+        {
+            "title_aux": "comfy_meh"
+        }
+    ],
+    "https://github.com/saftle/suplex_comfy_nodes": [
+        [
+            "ControlNet Selector",
+            "ControlNetOptionalLoader",
+            "DiffusersSelector",
+            "MultiInputVariableRewrite",
+            "SaveImageJPGNoMeta"
+        ],
+        {
+            "title_aux": "Suplex Misc ComfyUI Nodes"
+        }
+    ],
+    "https://github.com/sakura1bgx/ComfyUI_FlipStreamViewer": [
+        [
+            "FlipStreamLoader",
+            "FlipStreamOption",
+            "FlipStreamUpdate",
+            "FlipStreamViewer"
+        ],
+        {
+            "title_aux": "ComfyUI_FlipStreamViewer"
+        }
+    ],
+    "https://github.com/sdfxai/SDFXBridgeForComfyUI": [
+        [
+            "SDFXClipTextEncode"
+        ],
+        {
+            "title_aux": "SDFXBridgeForComfyUI - ComfyUI Custom Node for SDFX Integration"
+        }
+    ],
+    "https://github.com/seanlynch/comfyui-optical-flow": [
+        [
+            "Apply optical flow",
+            "Compute optical flow",
+            "Visualize optical flow"
+        ],
+        {
+            "title_aux": "ComfyUI Optical Flow"
+        }
+    ],
+    "https://github.com/seanlynch/srl-nodes": [
+        [
+            "SRL Conditional Interrrupt",
+            "SRL Eval",
+            "SRL Filter Image List",
+            "SRL Format String"
+        ],
+        {
+            "title_aux": "SRL's nodes"
+        }
+    ],
+    "https://github.com/seghier/ComfyUI_LibreTranslate/raw/main/translate_node.py": [
+        [
+            "LibreTranslate"
+        ],
+        {
+            "title_aux": "ComfyUI_LibreTranslate"
+        }
+    ],
+    "https://github.com/sergekatzmann/ComfyUI_Nimbus-Pack": [
+        [
+            "AdjustAndRoundDimensions",
+            "AspectRatioMobileDevices",
+            "ImageResizeAndCropNode",
+            "ImageSquareAdapterNode",
+            "PopularScreenResolutions"
+        ],
+        {
+            "title_aux": "ComfyUI_Nimbus-Pack"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-Image-reward": [
+        [
+            "ImageBatchToList_",
+            "ImageRewardScore_"
+        ],
+        {
+            "title_aux": "comfyui-Image-reward"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-consistency-decoder": [
+        [
+            "VAEDecodeConsistencyDecoder",
+            "VAELoaderConsistencyDecoder"
+        ],
+        {
+            "title_aux": "Consistency Decoder"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-edit-mask": [
+        [
+            "EditMask"
+        ],
+        {
+            "title_aux": "comfyui-edit-mask"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-liveportrait": [
+        [
+            "ExpressionEditor_",
+            "ExpressionVideo2VideoNode",
+            "ExpressionVideoNode",
+            "FaceCropInfo",
+            "LivePortraitNode",
+            "LivePortraitVideoNode",
+            "Retargeting"
+        ],
+        {
+            "title_aux": "comfyui-liveportrait"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-mixlab-nodes": [
+        [
+            "3DImage",
+            "AppInfo",
+            "ApplyVisualStylePrompting_",
+            "AreaToMask",
+            "AudioPlay",
+            "CenterImage",
+            "CkptNames_",
+            "Color",
+            "ComparingTwoFrames_",
+            "CompositeImages_",
+            "DepthViewer",
+            "DynamicDelayProcessor",
+            "EmbeddingPrompt",
+            "EnhanceImage",
+            "FaceToMask",
+            "FeatheredMask",
+            "FloatSlider",
+            "FloatingVideo",
+            "Font",
+            "GLIGENTextBoxApply_Advanced",
+            "GetImageSize_",
+            "GradientImage",
+            "GridDisplayAndSave",
+            "GridInput",
+            "GridOutput",
+            "ImageBatchToList_",
+            "ImageColorTransfer",
+            "ImageCropByAlpha",
+            "ImageListToBatch_",
+            "ImagesPrompt_",
+            "IncrementingListNode_",
+            "IntNumber",
+            "JoinWithDelimiter",
+            "KeyInput",
+            "LimitNumber",
+            "ListSplit_",
+            "LoadImagesFromPath",
+            "LoadImagesFromURL",
+            "LoadImagesToBatch",
+            "LoraNames_",
+            "LoraPrompt",
+            "MaskListMerge_",
+            "MaskListReplace_",
+            "MergeLayers",
+            "MirroredImage",
+            "MultiplicationNode",
+            "NewLayer",
+            "NoiseImage",
+            "OutlineMask",
+            "P5Input",
+            "PreviewMask_",
+            "PromptImage",
+            "PromptSimplification",
+            "PromptSlide",
+            "RandomPrompt",
+            "ResizeImageMixlab",
+            "SamplerNames_",
+            "SaveImageAndMetadata_",
+            "SaveImageToLocal",
+            "ScreenShare",
+            "Seed_",
+            "ShowLayer",
+            "SmoothMask",
+            "SpeechRecognition",
+            "SpeechSynthesis",
+            "SplitImage",
+            "SplitLongMask",
+            "StyleAlignedBatchAlign_",
+            "StyleAlignedReferenceSampler_",
+            "StyleAlignedSampleReferenceLatents_",
+            "SvgImage",
+            "SwitchByIndex",
+            "TESTNODE_",
+            "TESTNODE_TOKEN",
+            "TextImage",
+            "TextInput_",
+            "TextToNumber",
+            "TransparentImage",
+            "VAEDecodeConsistencyDecoder",
+            "VAELoaderConsistencyDecoder"
+        ],
+        {
+            "title_aux": "comfyui-mixlab-nodes"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-sound-lab": [
+        [
+            "AudioPlay",
+            "Musicgen_",
+            "StableAudio_"
+        ],
+        {
+            "title_aux": "comfyui-sound-lab"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-try-on": [
+        [
+            "CatVTONNode",
+            "FashionClothMask",
+            "FashionClothMask2"
+        ],
+        {
+            "author": "chflame",
+            "description": "CatVTON warpper for ComfyUI",
+            "nickname": "CatVTON_Wrapper",
+            "title": "CatVTON_Wrapper",
+            "title_aux": "comfyui-try-on"
+        }
+    ],
+    "https://github.com/shadowcz007/comfyui-ultralytics-yolo": [
+        [
+            "DetectByLabel"
+        ],
+        {
+            "title_aux": "comfyui-ultralytics-yolo"
+        }
+    ],
+    "https://github.com/shi3z/ComfyUI_Memeplex_DALLE": [
+        [
+            "DallERender",
+            "GPT",
+            "MemeplexCustomSDXLRender",
+            "MemeplexRender",
+            "TextInput",
+            "TextSend"
+        ],
+        {
+            "title_aux": "ComfyUI_Memeplex_DALLE"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI-PhotoMaker-Plus": [
+        [
+            "PhotoMakerEncodePlus",
+            "PhotoMakerInsightFaceLoader",
+            "PhotoMakerLoaderPlus",
+            "PhotoMakerLoraLoaderPlus",
+            "PhotoMakerStyles",
+            "PrepImagesForClipVisionFromPath"
+        ],
+        {
+            "title_aux": "ComfyUI PhotoMaker Plus"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI-TiledDiffusion": [
+        [
+            "NoiseInversion",
+            "TiledDiffusion",
+            "VAEDecodeTiled_TiledDiffusion",
+            "VAEEncodeTiled_TiledDiffusion"
+        ],
+        {
+            "title_aux": "Tiled Diffusion & VAE for ComfyUI"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI-semantic-aware-guidance": [
+        [
+            "SemanticAwareGuidance"
+        ],
+        {
+            "title_aux": "Semantic-aware Guidance (S-CFG)"
+        }
+    ],
+    "https://github.com/shiimizu/ComfyUI_smZNodes": [
+        [
+            "smZ CLIPTextEncode",
+            "smZ Settings"
+        ],
+        {
+            "title_aux": "smZNodes"
+        }
+    ],
+    "https://github.com/shingo1228/ComfyUI-SDXL-EmptyLatentImage": [
+        [
+            "SDXL Empty Latent Image"
+        ],
+        {
+            "title_aux": "ComfyUI-SDXL-EmptyLatentImage"
+        }
+    ],
+    "https://github.com/shingo1228/ComfyUI-send-eagle-slim": [
+        [
+            "Send Eagle with text",
+            "Send Webp Image to Eagle"
+        ],
+        {
+            "title_aux": "ComfyUI-send-Eagle(slim)"
+        }
+    ],
+    "https://github.com/shinich39/comfyui-load-image-with-cmd": [
+        [
+            "LoadImageWithCMD"
+        ],
+        {
+            "author": "shinich39",
+            "description": "Load image and partially workflow with javascript.",
+            "nickname": "load-image-with-cmd",
+            "title": "load-image-with-cmd",
+            "title_aux": "comfyui-load-image-with-cmd"
+        }
+    ],
+    "https://github.com/shinich39/comfyui-parse-image": [
+        [
+            "LoadBooleanFromImage",
+            "LoadComboFromImage",
+            "LoadFloatFromImage",
+            "LoadIntFromImage",
+            "LoadStringFromImage"
+        ],
+        {
+            "author": "shinich39",
+            "description": "Extract metadata from image.",
+            "nickname": "parse-image",
+            "title": "parse-image",
+            "title_aux": "comfyui-parse-image"
+        }
+    ],
+    "https://github.com/shinich39/comfyui-put-image": [
+        [
+            "PutImage"
+        ],
+        {
+            "author": "shinich39",
+            "description": "Load image from directory.",
+            "nickname": "put-image",
+            "title": "put-image",
+            "title_aux": "comfyui-put-image"
+        }
+    ],
+    "https://github.com/shobhitic/ComfyUI-PlusMinusTextClip": [
+        [
+            "PlusMinusTextClip"
+        ],
+        {
+            "title_aux": "PlusMinusTextClip - Single node for Positive and Negative Prompts"
+        }
+    ],
+    "https://github.com/shockz0rz/ComfyUI_InterpolateEverything": [
+        [
+            "OpenposePreprocessorInterpolate"
+        ],
+        {
+            "title_aux": "InterpolateEverything"
+        }
+    ],
+    "https://github.com/shockz0rz/comfy-easy-grids": [
+        [
+            "FloatToText",
+            "GridFloatList",
+            "GridFloats",
+            "GridIntList",
+            "GridInts",
+            "GridLoras",
+            "GridStringList",
+            "GridStrings",
+            "ImageGridCommander",
+            "IntToText",
+            "SaveImageGrid",
+            "TextConcatenator"
+        ],
+        {
+            "title_aux": "comfy-easy-grids"
+        }
+    ],
+    "https://github.com/siliconflow/BizyAir": [
+        [
+            "BizyAirAuraSR",
+            "BizyAirBAE_NormalMapPreprocessor",
+            "BizyAirBinaryPreprocessor",
+            "BizyAirCannyEdgePreprocessor",
+            "BizyAirColorPreprocessor",
+            "BizyAirDWPreprocessor",
+            "BizyAirDepthAnythingV2Preprocessor",
+            "BizyAirFakeScribblePreprocessor",
+            "BizyAirGenerateLightningImage",
+            "BizyAirHEDPreprocessor",
+            "BizyAirJoyCaption",
+            "BizyAirLeReS_DepthMapPreprocessor",
+            "BizyAirLineArtPreprocessor",
+            "BizyAirM_LSDPreprocessor",
+            "BizyAirMetric3D_DepthMapPreprocessor",
+            "BizyAirMetric3D_NormalMapPreprocessor",
+            "BizyAirMiDaS_DepthMapPreprocessor",
+            "BizyAirMiDaS_NormalMapPreprocessor",
+            "BizyAirOneFormer_ADE20K_SemSegPreprocessor",
+            "BizyAirOneFormer_COCO_SemSegPreprocessor",
+            "BizyAirOpenposePreprocessor",
+            "BizyAirPiDiNetPreprocessor",
+            "BizyAirRemoveBackground",
+            "BizyAirSAMPreprocessor",
+            "BizyAirScribblePreprocessor",
+            "BizyAirSiliconCloudLLMAPI",
+            "BizyAirSuperResolution",
+            "BizyAirTilePreprocessor",
+            "BizyAirUniFormer_SemSegPreprocessor",
+            "BizyAirZoe_DepthMapPreprocessor",
+            "BizyAir_MinusZoneChatGLM3TextEncode",
+            "StableDiffusionXLControlNetUnionPipeline"
+        ],
+        {
+            "title_aux": "\u2601\ufe0fBizyAir Nodes"
+        }
+    ],
+    "https://github.com/sipherxyz/comfyui-art-venture": [
+        [
+            "AV_AwsBedrockClaudeApi",
+            "AV_AwsBedrockMistralApi",
+            "AV_CheckpointMerge",
+            "AV_CheckpointModelsToParametersPipe",
+            "AV_CheckpointSave",
+            "AV_ClaudeApi",
+            "AV_ControlNetEfficientLoader",
+            "AV_ControlNetEfficientLoaderAdvanced",
+            "AV_ControlNetEfficientStacker",
+            "AV_ControlNetEfficientStackerSimple",
+            "AV_ControlNetLoader",
+            "AV_ControlNetPreprocessor",
+            "AV_LLMApiConfig",
+            "AV_LLMChat",
+            "AV_LLMCompletion",
+            "AV_LLMMessage",
+            "AV_LoraListLoader",
+            "AV_LoraListStacker",
+            "AV_LoraLoader",
+            "AV_OpenAIApi",
+            "AV_ParametersPipeToCheckpointModels",
+            "AV_ParametersPipeToPrompts",
+            "AV_PromptsToParametersPipe",
+            "AV_SAMLoader",
+            "AV_VAELoader",
+            "AspectRatioSelector",
+            "BLIPCaption",
+            "BLIPLoader",
+            "BooleanPrimitive",
+            "CheckpointNameSelector",
+            "ColorBlend",
+            "ColorCorrect",
+            "DeepDanbooruCaption",
+            "DependenciesEdit",
+            "Fooocus_KSampler",
+            "Fooocus_KSamplerAdvanced",
+            "GetBoolFromJson",
+            "GetFloatFromJson",
+            "GetIntFromJson",
+            "GetObjectFromJson",
+            "GetSAMEmbedding",
+            "GetTextFromJson",
+            "ISNetLoader",
+            "ISNetSegment",
+            "ImageAlphaComposite",
+            "ImageApplyChannel",
+            "ImageExtractChannel",
+            "ImageGaussianBlur",
+            "ImageMuxer",
+            "ImageRepeat",
+            "ImageScaleDown",
+            "ImageScaleDownBy",
+            "ImageScaleDownToSize",
+            "ImageScaleToMegapixels",
+            "LaMaInpaint",
+            "LoadImageAsMaskFromUrl",
+            "LoadImageFromUrl",
+            "LoadJsonFromUrl",
+            "MergeModels",
+            "NumberScaler",
+            "OverlayInpaintedImage",
+            "OverlayInpaintedLatent",
+            "PrepareImageAndMaskForInpaint",
+            "QRCodeGenerator",
+            "RandomFloat",
+            "RandomInt",
+            "SAMEmbeddingToImage",
+            "SDXLAspectRatioSelector",
+            "SDXLPromptStyler",
+            "SeedSelector",
+            "StringToInt",
+            "StringToNumber"
+        ],
+        {
+            "title_aux": "comfyui-art-venture"
+        }
+    ],
+    "https://github.com/skfoo/ComfyUI-Coziness": [
+        [
+            "LoraTextExtractor-b1f83aa2",
+            "MultiLoraLoader-70bf3d77"
+        ],
+        {
+            "title_aux": "ComfyUI-Coziness"
+        }
+    ],
+    "https://github.com/slyt/comfyui-ollama-nodes": [
+        [
+            "BooleanToString",
+            "DownloadHuggingfaceModel",
+            "FloatToString",
+            "GenerateOllama",
+            "IntToString",
+            "ListModels",
+            "ListToString",
+            "PullModel"
+        ],
+        {
+            "title_aux": "comfyui-ollama-nodes"
+        }
+    ],
+    "https://github.com/smagnetize/kb-comfyui-nodes": [
+        [
+            "SingleImageDataUrlLoader"
+        ],
+        {
+            "title_aux": "kb-comfyui-nodes"
+        }
+    ],
+    "https://github.com/smlbiobot/ComfyUI-Flux-Replicate-API": [
+        [
+            "SML_FluxPro_Replicate_Standalone"
+        ],
+        {
+            "title_aux": "ComfyUI-Flux-Replicate-API"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_AnyDoor": [
+        [
+            "AnyDoor_LoadModel",
+            "AnyDoor_img2img"
+        ],
+        {
+            "title_aux": "ComfyUI_AnyDoor"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_ChatGLM_API": [
+        [
+            "Glm_4_9b_Chat",
+            "Glm_4v_9b",
+            "Glm_Lcoal_Or_Repo",
+            "ZhipuaiApi_Character",
+            "ZhipuaiApi_Txt",
+            "ZhipuaiApi_img"
+        ],
+        {
+            "title_aux": "ComfyUI_ChatGLM_API"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_CustomNet": [
+        [
+            "CustomNet_LoadModel",
+            "CustomNet_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_CustomNet"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Diffree": [
+        [
+            "Diffree_Model_Loader",
+            "Diffree_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Diffree"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_EchoMimic": [
+        [
+            "Echo_LoadModel",
+            "Echo_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_EchoMimic"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_FoleyCrafter": [
+        [
+            "FoleyCrafter_LoadModel",
+            "FoleyCrafter_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_FoleyCrafter"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_FollowYourEmoji": [
+        [
+            "Emoji_Make_Temple",
+            "FollowYouEmoji_LoadModel",
+            "FollowYouEmoji_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_FollowYourEmoji"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_HiDiffusion_Pro": [
+        [
+            "HI_Diffusers_Model_Loader",
+            "Hi_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_HiDiffusion_Pro"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_ID_Animator": [
+        [
+            "ID_Animator",
+            "ID_Repo_Choice"
+        ],
+        {
+            "title_aux": "ComfyUI_ID_Animator"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Llama3_8B": [
+        [
+            "ChatQA_1p5_8b",
+            "Local_Or_Repo_Choice",
+            "Meta_Llama3_8B",
+            "MiniCPM_Llama3_V25"
+        ],
+        {
+            "title_aux": "ComfyUI_Llama3_8B"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_MS_Diffusion": [
+        [
+            "MS_Object_img_Batch",
+            "MSdiffusion_Model_Loader",
+            "MSdiffusion_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_MS_Diffusion"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_MooER": [
+        [
+            "MooER_LoadModel",
+            "MooER_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_MooER"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_ParlerTTS": [
+        [
+            "ParlerTTS_LoadModel",
+            "ParlerTTS_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_ParlerTTS"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Pic2Story": [
+        [
+            "Pic2Story_Loader",
+            "Pic2Story_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Pic2Story"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Pipeline_Tool": [
+        [
+            "Pipeline_Tool"
+        ],
+        {
+            "title_aux": "ComfyUI_Pipeline_Tool"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Pops": [
+        [
+            "Pops_Decoder",
+            "Pops_Repo_Loader",
+            "Pops_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Pops"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_StableAudio_Open": [
+        [
+            "StableAudio_ModelLoader",
+            "StableAudio_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_StableAudio_Open"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Stable_Makeup": [
+        [
+            "StableMakeup_LoadModel",
+            "StableMakeup_Sampler"
+        ],
+        {
+            "author": "Sajjad Ayobbi",
+            "title_aux": "ComfyUI_Stable_Makeup"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_StoryDiffusion": [
+        [
+            "Comic_Type",
+            "Pre_Translate_prompt",
+            "Storydiffusion_Model_Loader",
+            "Storydiffusion_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_StoryDiffusion"
+        }
+    ],
+    "https://github.com/smthemex/ComfyUI_Streamv2v_Plus": [
+        [
+            "Stream_Lora_Loader",
+            "Stream_Model_Loader",
+            "Stream_Sampler"
+        ],
+        {
+            "title_aux": "ComfyUI_Streamv2v_Plus"
+        }
+    ],
+    "https://github.com/sn0w12/ComfyUI-Sn0w-Scripts": [
+        [
+            "Character Selector",
+            "Copy/Paste Textbox",
+            "Filter Tags",
+            "Get Font Size",
+            "Load Lora Folder",
+            "Load Lora Sn0w",
+            "Lora Selector",
+            "Lora Tester",
+            "Prompt Combine",
+            "Prompt Selector",
+            "Sn0w KSampler",
+            "Sn0w Lora Stacker",
+            "Upscale Image With Model By"
+        ],
+        {
+            "title_aux": "ComfyUI-Sn0w-Scripts"
+        }
+    ],
+    "https://github.com/souki202/ComfyUI-LoadImage-Advanced": [
+        [
+            "ColorAdjustment",
+            "LoadImageUpscale",
+            "LoadImageUpscaleBy"
+        ],
+        {
+            "title_aux": "ComfyUI-LoadImage-Advanced"
+        }
+    ],
+    "https://github.com/space-nuko/ComfyUI-Disco-Diffusion": [
+        [
+            "DiscoDiffusion_DiscoDiffusion",
+            "DiscoDiffusion_DiscoDiffusionExtraSettings",
+            "DiscoDiffusion_GuidedDiffusionLoader",
+            "DiscoDiffusion_OpenAICLIPLoader"
+        ],
+        {
+            "title_aux": "Disco Diffusion"
+        }
+    ],
+    "https://github.com/space-nuko/ComfyUI-OpenPose-Editor": [
+        [
+            "Nui.OpenPoseEditor"
+        ],
+        {
+            "title_aux": "OpenPose Editor"
+        }
+    ],
+    "https://github.com/space-nuko/nui-suite": [
+        [
+            "Nui.DynamicPromptsTextGen",
+            "Nui.FeelingLuckyTextGen",
+            "Nui.OutputString"
+        ],
+        {
+            "title_aux": "nui suite"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-Florence-2": [
+        [
+            "Florence2",
+            "Florence2Postprocess",
+            "Florence2PostprocessAll",
+            "LoadFlorence2Model"
+        ],
+        {
+            "title_aux": "ComfyUI-Florence-2"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-HQ-Image-Save": [
+        [
+            "LoadEXR",
+            "LoadEXRFrames",
+            "LoadLatentEXR",
+            "SaveEXR",
+            "SaveEXRFrames",
+            "SaveLatentEXR",
+            "SaveTiff"
+        ],
+        {
+            "title_aux": "ComfyUI-HQ-Image-Save"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-Image-Filters": [
+        [
+            "AdainFilterLatent",
+            "AdainImage",
+            "AdainLatent",
+            "AlphaClean",
+            "AlphaMatte",
+            "BatchAlign",
+            "BatchAverageImage",
+            "BatchAverageUnJittered",
+            "BatchNormalizeImage",
+            "BatchNormalizeLatent",
+            "BetterFilmGrain",
+            "BilateralFilterImage",
+            "BlurImageFast",
+            "BlurMaskFast",
+            "ClampOutliers",
+            "ColorMatchImage",
+            "ConditioningSubtract",
+            "ConvertNormals",
+            "CustomNoise",
+            "DepthToNormals",
+            "DifferenceChecker",
+            "DilateErodeMask",
+            "EnhanceDetail",
+            "ExposureAdjust",
+            "FrequencyCombine",
+            "FrequencySeparate",
+            "GameOfLife",
+            "GuidedFilterAlpha",
+            "GuidedFilterImage",
+            "ImageConstant",
+            "ImageConstantHSV",
+            "InstructPixToPixConditioningAdvanced",
+            "JitterImage",
+            "Keyer",
+            "LatentNormalizeShuffle",
+            "LatentStats",
+            "MedianFilterImage",
+            "ModelTest",
+            "NormalMapSimple",
+            "OffsetLatentImage",
+            "PrintSigmas",
+            "RelightSimple",
+            "RemapRange",
+            "RestoreDetail",
+            "SharpenFilterLatent",
+            "ShuffleChannels",
+            "Tonemap",
+            "UnJitterImage",
+            "UnTonemap",
+            "VisualizeLatents"
+        ],
+        {
+            "title_aux": "ComfyUI-Image-Filters"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-RAVE": [
+        [
+            "ConditioningDebug",
+            "ImageGridCompose",
+            "ImageGridDecompose",
+            "KSamplerRAVE",
+            "LatentGridCompose",
+            "LatentGridDecompose"
+        ],
+        {
+            "title_aux": "ComfyUI-RAVE"
+        }
+    ],
+    "https://github.com/spacepxl/ComfyUI-StyleGan": [
+        [
+            "BatchAverageStyleGANLatents",
+            "BlendStyleGANLatents",
+            "GenerateStyleGANLatent",
+            "LoadStyleGAN",
+            "StyleGANInversion",
+            "StyleGANLatentFromBatch",
+            "StyleGANSampler"
+        ],
+        {
+            "title_aux": "ComfyUI-StyleGan"
+        }
+    ],
+    "https://github.com/spinagon/ComfyUI-seam-carving": [
+        [
+            "SeamCarving"
+        ],
+        {
+            "title_aux": "ComfyUI-seam-carving"
+        }
+    ],
+    "https://github.com/spinagon/ComfyUI-seamless-tiling": [
+        [
+            "CircularVAEDecode",
+            "MakeCircularVAE",
+            "OffsetImage",
+            "SeamlessTile"
+        ],
+        {
+            "title_aux": "Seamless tiling Node for ComfyUI"
+        }
+    ],
+    "https://github.com/spro/comfyui-mirror": [
+        [
+            "LatentMirror"
+        ],
+        {
+            "title_aux": "Latent Mirror node for ComfyUI"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_UltimateSDUpscale": [
+        [
+            "UltimateSDUpscale",
+            "UltimateSDUpscaleCustomSample",
+            "UltimateSDUpscaleNoUpscale"
+        ],
+        {
+            "title_aux": "UltimateSDUpscale"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_fabric": [
+        [
+            "FABRICPatchModel",
+            "FABRICPatchModelAdv",
+            "KSamplerAdvFABRICAdv",
+            "KSamplerFABRIC",
+            "KSamplerFABRICAdv"
+        ],
+        {
+            "title_aux": "ComfyUI fabric"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_restart_sampling": [
+        [
+            "KRestartSampler",
+            "KRestartSamplerAdv",
+            "KRestartSamplerCustom",
+            "KRestartSamplerSimple",
+            "RestartSampler",
+            "RestartScheduler"
+        ],
+        {
+            "title_aux": "Restart Sampling"
+        }
+    ],
+    "https://github.com/ssitu/ComfyUI_roop": [
+        [
+            "RoopImproved",
+            "roop"
+        ],
+        {
+            "title_aux": "ComfyUI roop"
+        }
+    ],
+    "https://github.com/stavsap/comfyui-ollama": [
+        [
+            "OllamaGenerate",
+            "OllamaGenerateAdvance",
+            "OllamaLoadContext",
+            "OllamaSaveContext",
+            "OllamaVision"
+        ],
+        {
+            "title_aux": "ComfyUI Ollama"
+        }
+    ],
+    "https://github.com/storyicon/comfyui_musev_evolved": [
+        [
+            "AnimationZoom (comfyui_musev_evolved)",
+            "ImageSelector (comfyui_musev_evolved)",
+            "MuseVImg2Vid V1 (comfyui_musev_evolved)",
+            "MuseVPredictor V1 (comfyui_musev_evolved)"
+        ],
+        {
+            "author": "infguo",
+            "title_aux": "ComfyUI MuseV Evolved"
+        }
+    ],
+    "https://github.com/storyicon/comfyui_segment_anything": [
+        [
+            "GroundingDinoModelLoader (segment anything)",
+            "GroundingDinoSAMSegment (segment anything)",
+            "InvertMask (segment anything)",
+            "IsMaskEmpty",
+            "SAMModelLoader (segment anything)"
+        ],
+        {
+            "title_aux": "segment anything"
+        }
+    ],
+    "https://github.com/strimmlarn/ComfyUI_Strimmlarns_aesthetic_score": [
+        [
+            "AesthetlcScoreSorter",
+            "CalculateAestheticScore",
+            "LoadAesteticModel",
+            "ScoreToNumber"
+        ],
+        {
+            "title_aux": "ComfyUI_Strimmlarns_aesthetic_score"
+        }
+    ],
+    "https://github.com/styler00dollar/ComfyUI-deepcache": [
+        [
+            "DeepCache"
+        ],
+        {
+            "title_aux": "ComfyUI-deepcache"
+        }
+    ],
+    "https://github.com/styler00dollar/ComfyUI-sudo-latent-upscale": [
+        [
+            "SudoLatentUpscale"
+        ],
+        {
+            "title_aux": "ComfyUI-sudo-latent-upscale"
+        }
+    ],
+    "https://github.com/sugarkwork/comfyui_cohere": [
+        [
+            "SimpleCohereNode"
+        ],
+        {
+            "title_aux": "comfyui_cohere"
+        }
+    ],
+    "https://github.com/sugarkwork/comfyui_tag_fillter": [
+        [
+            "TagFilter",
+            "TagMerger",
+            "TagRemover",
+            "TagReplace",
+            "TagSwitcher"
+        ],
+        {
+            "title_aux": "comfyui_tag_filter"
+        }
+    ],
+    "https://github.com/superyoman/comfyui_lumaAPI": [
+        [
+            "LUMA_API_YoC",
+            "LUMA_API_result_YoC"
+        ],
+        {
+            "title_aux": "comfyui_lumaAPI"
+        }
+    ],
+    "https://github.com/syaofox/ComfyUI_FoxTools": [
+        [
+            "FoxBatchImageFromList",
+            "FoxChineseCLIPEncode",
+            "FoxColorMatch",
+            "FoxCreateBlurBord",
+            "FoxCreateFaceMask",
+            "FoxFaceAlign",
+            "FoxFaceAlignCacul",
+            "FoxFaceAlignSimple",
+            "FoxFaceAnalysisModels",
+            "FoxFaceBoundingBox",
+            "FoxFaceEmbedDistance",
+            "FoxFaceOcclusionModelLoader",
+            "FoxFaceSegmentation",
+            "FoxFaceShaper",
+            "FoxFaceShaperModels",
+            "FoxFaceWarp",
+            "FoxGenSwapPathText",
+            "FoxGrowMaskWithBlur",
+            "FoxImageAdd",
+            "FoxImageConcanate",
+            "FoxImageExtractFromBatch",
+            "FoxImageResizeBySpecialSide",
+            "FoxImageRotate",
+            "FoxImageScaleToSDType",
+            "FoxImageTileBatch",
+            "FoxLoadImageList",
+            "FoxLoadImagePlus",
+            "FoxMaskAddMask",
+            "FoxMaskAndMask",
+            "FoxMaskSubMask",
+            "FoxOutlineMask",
+            "FoxPreviewMask",
+            "FoxPrimitiveText",
+            "FoxRegTextFind",
+            "FoxSDXLPromptStyler",
+            "FoxSDXLPromptStylerAdvanced",
+            "FoxSaveImagePlus",
+            "FoxSelectFace",
+            "FoxShowText",
+            "FoxTextConcatenate",
+            "FoxTrimBlackBoard",
+            "FoxUltraImageLoader",
+            "Fox_Seed",
+            "FoxcleanGPUUsed"
+        ],
+        {
+            "title_aux": "ComfyUI_FoxTools"
+        }
+    ],
+    "https://github.com/syllebra/bilbox-comfyui": [
+        [
+            "BilboXLut",
+            "BilboXPhotoPrompt",
+            "BilboXVignette"
+        ],
+        {
+            "title_aux": "BilboX's ComfyUI Custom Nodes"
+        }
+    ],
+    "https://github.com/sylym/comfy_vid2vid": [
+        [
+            "CheckpointLoaderSimpleSequence",
+            "DdimInversionSequence",
+            "KSamplerSequence",
+            "LoadImageMaskSequence",
+            "LoadImageSequence",
+            "LoraLoaderSequence",
+            "SetLatentNoiseSequence",
+            "TrainUnetSequence",
+            "VAEEncodeForInpaintSequence"
+        ],
+        {
+            "title_aux": "Vid2vid"
+        }
+    ],
+    "https://github.com/szhublox/ambw_comfyui": [
+        [
+            "Auto Merge Block Weighted",
+            "CLIPMergeSimple",
+            "CheckpointSave",
+            "ModelMergeBlocks",
+            "ModelMergeSimple"
+        ],
+        {
+            "title_aux": "Auto-MBW"
+        }
+    ],
+    "https://github.com/taabata/Comfy_Syrian_Falcon_Nodes/raw/main/SyrianFalconNodes.py": [
+        [
+            "CompositeImage",
+            "KSamplerAlternate",
+            "KSamplerPromptEdit",
+            "KSamplerPromptEditAndAlternate",
+            "LoopBack",
+            "QRGenerate",
+            "WordAsImage"
+        ],
+        {
+            "title_aux": "Syrian Falcon Nodes"
+        }
+    ],
+    "https://github.com/taabata/LCM_Inpaint-Outpaint_Comfy": [
+        [
+            "ComfyNodesToSaveCanvas",
+            "FloatNumber",
+            "FreeU_LCM",
+            "ImageDims",
+            "ImageOutputToComfyNodes",
+            "ImageResize",
+            "ImageShuffle",
+            "ImageSwitch",
+            "LCMGenerate",
+            "LCMGenerate_ReferenceOnly",
+            "LCMGenerate_SDTurbo",
+            "LCMGenerate_img2img",
+            "LCMGenerate_img2img_IPAdapter",
+            "LCMGenerate_img2img_controlnet",
+            "LCMGenerate_inpaintv2",
+            "LCMGenerate_inpaintv3",
+            "LCMLoader",
+            "LCMLoader_RefInpaint",
+            "LCMLoader_ReferenceOnly",
+            "LCMLoader_SDTurbo",
+            "LCMLoader_controlnet",
+            "LCMLoader_controlnet_inpaint",
+            "LCMLoader_img2img",
+            "LCMLoraLoader_inpaint",
+            "LCMLoraLoader_ipadapter",
+            "LCMLora_inpaint",
+            "LCMLora_inpaintV2",
+            "LCMLora_ipadapter",
+            "LCMT2IAdapter",
+            "LCM_IPAdapter",
+            "LCM_IPAdapter_inpaint",
+            "LCM_outpaint_prep",
+            "LoadImageNode_LCM",
+            "Loader_SegmindVega",
+            "OutpaintCanvasTool",
+            "SaveImage_Canvas",
+            "SaveImage_LCM",
+            "SaveImage_Puzzle",
+            "SaveImage_PuzzleV2",
+            "SegmindVega",
+            "SettingsSwitch",
+            "stitch"
+        ],
+        {
+            "title_aux": "LCM_Inpaint-Outpaint_Comfy"
+        }
+    ],
+    "https://github.com/talesofai/comfyui-browser": [
+        [
+            "DifyTextGenerator //Browser",
+            "LoadImageByUrl //Browser",
+            "SelectInputs //Browser",
+            "UploadToRemote //Browser",
+            "XyzPlot //Browser"
+        ],
+        {
+            "title_aux": "ComfyUI Browser"
+        }
+    ],
+    "https://github.com/teward/ComfyUI-Helper-Nodes": [
+        [
+            "HelperNodes_CfgScale",
+            "HelperNodes_CheckpointSelector",
+            "HelperNodes_MultilineStringLiteral",
+            "HelperNodes_Prompt",
+            "HelperNodes_SDXLCommonResolutions",
+            "HelperNodes_SamplerSelector",
+            "HelperNodes_SaveImage",
+            "HelperNodes_SchedulerSelector",
+            "HelperNodes_SeedSelector",
+            "HelperNodes_Steps",
+            "HelperNodes_StringLiteral",
+            "HelperNodes_VAESelector",
+            "HelperNodes_WidthHeight"
+        ],
+        {
+            "title_aux": "ComfyUI-Helper-Nodes"
+        }
+    ],
+    "https://github.com/theUpsider/ComfyUI-Logic": [
+        [
+            "Bool-\ud83d\udd2c",
+            "Compare-\ud83d\udd2c",
+            "DebugPrint-\ud83d\udd2c",
+            "Float-\ud83d\udd2c",
+            "If ANY execute A else B-\ud83d\udd2c",
+            "If ANY return A else B-\ud83d\udd2c",
+            "Int-\ud83d\udd2c",
+            "String-\ud83d\udd2c"
+        ],
+        {
+            "title_aux": "ComfyUI-Logic"
+        }
+    ],
+    "https://github.com/theUpsider/ComfyUI-Styles_CSV_Loader": [
+        [
+            "Load Styles CSV"
+        ],
+        {
+            "title_aux": "Styles CSV Loader Extension for ComfyUI"
+        }
+    ],
+    "https://github.com/thecooltechguy/ComfyUI-MagicAnimate": [
+        [
+            "MagicAnimate",
+            "MagicAnimateModelLoader"
+        ],
+        {
+            "title_aux": "ComfyUI-MagicAnimate"
+        }
+    ],
+    "https://github.com/thecooltechguy/ComfyUI-Stable-Video-Diffusion": [
+        [
+            "SVDDecoder",
+            "SVDModelLoader",
+            "SVDSampler",
+            "SVDSimpleImg2Vid"
+        ],
+        {
+            "title_aux": "ComfyUI Stable Video Diffusion"
+        }
+    ],
+    "https://github.com/tianguanggliu/Utools": [
+        [
+            "UTools"
+        ],
+        {
+            "title_aux": "comfyui-utools"
+        }
+    ],
+    "https://github.com/tiankuan93/ComfyUI-V-Express": [
+        [
+            "Load_Audio_Path",
+            "Load_Audio_Path_From_Video",
+            "Load_Image_Path",
+            "Load_Kps_Path",
+            "Load_Kps_Path_From_Video",
+            "Load_Video_Path",
+            "VEINTConstant",
+            "VEPreview_Video",
+            "VEStringConstant",
+            "V_Express_Loader",
+            "V_Express_Sampler"
+        ],
+        {
+            "title_aux": "V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation"
+        }
+    ],
+    "https://github.com/tianlang0704/ComfyUI-StableProjectorzBridge": [
+        [
+            "ProjectorzControlnetInput",
+            "ProjectorzControlnetParameter",
+            "ProjectorzInitInput",
+            "ProjectorzOutput",
+            "ProjectorzParameter",
+            "ProjectorzStringToFloat",
+            "ProjectorzStringToInt"
+        ],
+        {
+            "title_aux": "Stable Projectorz Bridge"
+        }
+    ],
+    "https://github.com/time-river/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py": [
+        [
+            "CLIPSeg",
+            "CombineSegMasks"
+        ],
+        {
+            "title_aux": "CLIPSeg"
+        }
+    ],
+    "https://github.com/tmagara/ComfyUI-Prediction-Boost": [
+        [
+            "PredictionBoost"
+        ],
+        {
+            "title_aux": "ComfyUI-Prediction-Boost"
+        }
+    ],
+    "https://github.com/tocubed/ComfyUI-AudioReactor": [
+        [
+            "AudioFrameTransformBeats",
+            "AudioFrameTransformShadertoy",
+            "AudioLoadPath",
+            "Shadertoy"
+        ],
+        {
+            "title_aux": "ComfyUI-AudioReactor"
+        }
+    ],
+    "https://github.com/tooldigital/ComfyUI-Yolo-Cropper": [
+        [
+            "ToolYoloCropper"
+        ],
+        {
+            "title_aux": "Easy automatic (square) image cropper using Yolo"
+        }
+    ],
+    "https://github.com/toxicwind/ComfyUI-TTools": [
+        [
+            "TTools Extract JSON",
+            "TTools SD3 Resolution Solver"
+        ],
+        {
+            "title_aux": "TTools for ComfyUI"
+        }
+    ],
+    "https://github.com/toyxyz/ComfyUI_toyxyz_test_nodes": [
+        [
+            "CaptureWebcam",
+            "Direct Screen Capture",
+            "ImageResize_Padding",
+            "LatentDelay",
+            "LoadWebcamImage",
+            "SaveImagetoPath"
+        ],
+        {
+            "title_aux": "ComfyUI_toyxyz_test_nodes"
+        }
+    ],
+    "https://github.com/traugdor/ComfyUI-quadMoons-nodes": [
+        [
+            "quadmoonCLIPTextEncode",
+            "quadmoonChangeBackground",
+            "quadmoonConvertBoolToString",
+            "quadmoonConvertFloatToString",
+            "quadmoonConvertIntToString",
+            "quadmoonConvertNormalizeHW",
+            "quadmoonConvertNumberToString",
+            "quadmoonINTConditionalOperation",
+            "quadmoonKSampler",
+            "quadmoonKSamplerAdvanced",
+            "quadmoonLoadConfigs",
+            "quadmoonModelLoader",
+            "quadmoonRotationalSampler",
+            "quadmoonSaveNeg",
+            "quadmoonSavePrompt",
+            "quadmoonSmartNeg",
+            "quadmoonSmartPrompt",
+            "quadmoonThebutton"
+        ],
+        {
+            "author": "quadmoon (https://github.com/traugdor)",
+            "description": "These are just some nodes I wanted and couldn't find where anyone else had made them yet.",
+            "nickname": "quadmoon's Nodes",
+            "title": "quadmoon's ComfyUI nodes",
+            "title_aux": "quadmoon's ComfyUI nodes"
+        }
+    ],
+    "https://github.com/tritant/ComfyUI_CreaPrompt": [
+        [
+            "CreaPrompt",
+            "CreaPrompt List",
+            "CreaPrompt_1",
+            "CreaPrompt_2",
+            "CreaPrompt_3",
+            "CreaPrompt_4"
+        ],
+        {
+            "title_aux": "ComfyUI-CreaPrompt"
+        }
+    ],
+    "https://github.com/trojblue/trNodes": [
+        [
+            "trColorCorrection",
+            "trLayering",
+            "trRouter",
+            "trRouterLonger"
+        ],
+        {
+            "title_aux": "trNodes"
+        }
+    ],
+    "https://github.com/trumanwong/ComfyUI-NSFW-Detection": [
+        [
+            "NSFWDetection"
+        ],
+        {
+            "title_aux": "ComfyUI-NSFW-Detection"
+        }
+    ],
+    "https://github.com/tsogzark/ComfyUI-load-image-from-url": [
+        [
+            "LoadImageFromUrlOrPath"
+        ],
+        {
+            "title_aux": "ComfyUI-load-image-from-url"
+        }
+    ],
+    "https://github.com/ttulttul/ComfyUI-Iterative-Mixer": [
+        [
+            "Batch Unsampler",
+            "Iterative Mixing KSampler",
+            "Iterative Mixing KSampler Advanced",
+            "IterativeMixingSampler",
+            "IterativeMixingScheduler",
+            "IterativeMixingSchedulerAdvanced",
+            "Latent Batch Comparison Plot",
+            "Latent Batch Statistics Plot",
+            "MixingMaskGenerator"
+        ],
+        {
+            "title_aux": "ComfyUI Iterative Mixing Nodes"
+        }
+    ],
+    "https://github.com/ttulttul/ComfyUI-Tensor-Operations": [
+        [
+            "Fast Image to Noise",
+            "Image Match Normalize",
+            "Latent Match Normalize"
+        ],
+        {
+            "title_aux": "ComfyUI-Tensor-Operations"
+        }
+    ],
+    "https://github.com/tudal/Hakkun-ComfyUI-nodes/raw/main/hakkun_nodes.py": [
+        [
+            "Any Converter",
+            "Calculate Upscale",
+            "Image Resize To Height",
+            "Image Resize To Width",
+            "Image size to string",
+            "Load Random Image",
+            "Load Text",
+            "Multi Text Merge",
+            "Prompt Parser",
+            "Random Line",
+            "Random Line 4"
+        ],
+        {
+            "title_aux": "Hakkun-ComfyUI-nodes"
+        }
+    ],
+    "https://github.com/tusharbhutt/Endless-Nodes": [
+        [
+            "ESS Aesthetic Scoring",
+            "ESS Combo Parameterizer",
+            "ESS Combo Parameterizer & Prompts",
+            "ESS Eight Input Text Switch",
+            "ESS Float to Integer",
+            "ESS Float to Number",
+            "ESS Float to String",
+            "ESS Float to X",
+            "ESS Image Reward",
+            "ESS Image Saver with JSON",
+            "ESS Integer to Float",
+            "ESS Integer to Number",
+            "ESS Integer to String",
+            "ESS Integer to X",
+            "ESS Number to Float",
+            "ESS Number to Integer",
+            "ESS Number to String",
+            "ESS Number to X",
+            "ESS Parameterizer",
+            "ESS Parameterizer & Prompts",
+            "ESS Six Float Output",
+            "ESS Six Input Text Switch",
+            "ESS Six Integer IO Switch",
+            "ESS Six Integer IO Widget",
+            "ESS String to Float",
+            "ESS String to Integer",
+            "ESS String to Num",
+            "ESS String to X",
+            "\u267e\ufe0f\ud83c\udf0a\u2728 Image Saver with JSON"
+        ],
+        {
+            "author": "BiffMunky",
+            "description": "A small set of nodes I created for various numerical and text inputs.  Features image saver with ability to have JSON saved to separate folder, parameter collection nodes, two aesthetic scoring models, switches for text and numbers, and conversion of string to numeric and vice versa.",
+            "nickname": "\u267e\ufe0f\ud83c\udf0a\u2728",
+            "title": "Endless \ufe0f\ud83c\udf0a\u2728 Nodes",
+            "title_aux": "Endless \ufe0f\ud83c\udf0a\u2728 Nodes"
+        }
+    ],
+    "https://github.com/twri/sdxl_prompt_styler": [
+        [
+            "SDXLPromptStyler",
+            "SDXLPromptStylerAdvanced"
+        ],
+        {
+            "title_aux": "SDXL Prompt Styler"
+        }
+    ],
+    "https://github.com/ty0x2333/ComfyUI-Dev-Utils": [
+        [
+            "TY_ExecutionTime",
+            "TY_UploadAnything",
+            "TY_UrlDownload"
+        ],
+        {
+            "title_aux": "ComfyUI-Dev-Utils"
+        }
+    ],
+    "https://github.com/uarefans/ComfyUI-Fans": [
+        [
+            "Fans Prompt Styler Negative",
+            "Fans Prompt Styler Positive",
+            "Fans Styler",
+            "Fans Text Concatenate"
+        ],
+        {
+            "title_aux": "ComfyUI-Fans"
+        }
+    ],
+    "https://github.com/uetuluk/comfyui-webcam-node": [
+        [
+            "webcam_capture_node"
+        ],
+        {
+            "title_aux": "comfyui-webcam-node"
+        }
+    ],
+    "https://github.com/un-seen/comfyui-tensorops": [
+        [
+            "BackgroundSelect",
+            "ChannelSelector",
+            "DownloadAndLoadFlorence2Model",
+            "FalDifferentialDiffusion",
+            "FalDiffusion",
+            "FetchFromRedis",
+            "FetchJsonFromSurreal",
+            "Florence2Run",
+            "ForegroundMask",
+            "MaskImage",
+            "SaveImageToS3",
+            "SaveJsonToSurreal",
+            "SaveTextToSurreal",
+            "SaveToRedis"
+        ],
+        {
+            "title_aux": "comfyui-tensorop"
+        }
+    ],
+    "https://github.com/un-seen/comfyui_segment_anything_plus": [
+        [
+            "GroundingDinoModelLoader (segment anything plus)",
+            "GroundingDinoSAMSegment (segment anything plus)",
+            "InvertMask (segment anything plus)",
+            "IsMaskEmpty  (segment anything plus)",
+            "SAMModelLoader (segment anything plus)"
+        ],
+        {
+            "title_aux": "ComfyUI Segment Anything"
+        }
+    ],
+    "https://github.com/unwdef/unwdef-nodes-comfyui": [
+        [
+            "RandomTextFromMultiline",
+            "RandomizeLoras",
+            "RandomizeLorasStack",
+            "TextMultilineWithVariables"
+        ],
+        {
+            "title_aux": "unwdef-nodes"
+        }
+    ],
+    "https://github.com/vanche1212/ComfyUI-ZMG-Nodes": [
+        [
+            "VC_Load_Video_Path_Unified_Output",
+            "VC_Load_Video_Upload_Unified_Output",
+            "VC_Video_Combine_Unified_Output",
+            "Waveform2Audio",
+            "\ud83d\ude0bAPI Request Node",
+            "\ud83d\ude0bJSON Parser Node",
+            "\ud83d\ude0bOld Photo Colorization Node",
+            "\ud83d\ude0bOllama Request Node",
+            "\ud83d\ude0bSave Image Unified Output"
+        ],
+        {
+            "title_aux": "ZMG PLUGIN"
+        }
+    ],
+    "https://github.com/vanillacode314/SimpleWildcardsComfyUI": [
+        [
+            "SimpleConcat",
+            "SimpleWildcard"
+        ],
+        {
+            "author": "VanillaCode314",
+            "description": "A simple wildcard node for ComfyUI. Can also be used a style prompt node.",
+            "nickname": "Simple Wildcard",
+            "title": "Simple Wildcard",
+            "title_aux": "Simple Wildcard"
+        }
+    ],
+    "https://github.com/var1ableX/ComfyUI_Accessories": [
+        [
+            "GetMaskDimensions"
+        ],
+        {
+            "title_aux": "ComfyUI_Accessories"
+        }
+    ],
+    "https://github.com/vault-developer/comfyui-image-blender": [
+        [
+            "ImageBlender"
+        ],
+        {
+            "title_aux": "ImageBlender"
+        }
+    ],
+    "https://github.com/veighnsche/comfyui_gr85": [
+        [
+            "GR85_ContainsWord",
+            "GR85_ElementsConcatenator",
+            "GR85_ImageDimensionResizer",
+            "GR85_ImageSizer",
+            "GR85_InsertCharacter",
+            "GR85_LlmEnhancer",
+            "GR85_NextSeed",
+            "GR85_RandomAtmLocOutfit",
+            "GR85_RandomRatio",
+            "GR85_RandomTitleCharacter",
+            "GR85_RandomWildcardTagPicker",
+            "GR85_ShowText",
+            "GR85_StrSafe",
+            "GR85_TagInjector"
+        ],
+        {
+            "title_aux": "comfyui_gr85"
+        }
+    ],
+    "https://github.com/victorchall/comfyui_webcamcapture": [
+        [
+            "WebcamCapture"
+        ],
+        {
+            "title_aux": "Comfyui Webcam capture node"
+        }
+    ],
+    "https://github.com/vienteck/ComfyUI-Chat-GPT-Integration": [
+        [
+            "ChatGptPrompt"
+        ],
+        {
+            "title_aux": "ComfyUI-Chat-GPT-Integration"
+        }
+    ],
+    "https://github.com/violet-chen/comfyui-psd2png": [
+        [
+            "Psd2Png"
+        ],
+        {
+            "title_aux": "comfyui-psd2png"
+        }
+    ],
+    "https://github.com/viperyl/ComfyUI-BiRefNet": [
+        [
+            "BiRefNet"
+        ],
+        {
+            "title_aux": "ComfyUI-BiRefNet"
+        }
+    ],
+    "https://github.com/viperyl/ComfyUI-RGT": [
+        [
+            "RGT_Upscale"
+        ],
+        {
+            "title_aux": "ComfyUI-RGT"
+        }
+    ],
+    "https://github.com/vivax3794/ComfyUI-Sub-Nodes": [
+        [
+            "VIV_Default",
+            "VIV_Subgraph",
+            "VIV_Subgraph_Inputs",
+            "VIV_Subgraph_Outputs"
+        ],
+        {
+            "title_aux": "ComfyUI-Sub-Nodes"
+        }
+    ],
+    "https://github.com/vivax3794/ComfyUI-Vivax-Nodes": [
+        [
+            "Any String",
+            "Chunk Up",
+            "Get Chunk",
+            "Inspect",
+            "Join Chunks",
+            "Model From URL"
+        ],
+        {
+            "title_aux": "ComfyUI-Vivax-Nodes"
+        }
+    ],
+    "https://github.com/vsevolod-oparin/comfyui-kandinsky22": [
+        [
+            "comfy-kandinsky22-decoder-loader",
+            "comfy-kandinsky22-hint-combiner",
+            "comfy-kandinsky22-image-encoder",
+            "comfy-kandinsky22-img-latents",
+            "comfy-kandinsky22-latents",
+            "comfy-kandinsky22-movq-decoder",
+            "comfy-kandinsky22-positive-text-encoder",
+            "comfy-kandinsky22-prior-averaging-2",
+            "comfy-kandinsky22-prior-averaging-3",
+            "comfy-kandinsky22-prior-averaging-4",
+            "comfy-kandinsky22-prior-loader",
+            "comfy-kandinsky22-text-encoder",
+            "comfy-kandinsky22-unet-decoder"
+        ],
+        {
+            "title_aux": "Kandinsky 2.2 ComfyUI Plugin"
+        }
+    ],
+    "https://github.com/vxinhao/color2rgb/raw/main/color2rgb.py": [
+        [
+            "color2RGB"
+        ],
+        {
+            "title_aux": "color2rgb"
+        }
+    ],
+    "https://github.com/wTechArtist/ComfyUI-CustomNodes": [
+        [
+            "GPT4 WWL",
+            "IPAdapter FaceID With Bool",
+            "IPAdapter Mad Scientist Weight_Type",
+            "Image Blending Mode Mask",
+            "Load Image With Bool",
+            "Load Lora With Shared"
+        ],
+        {
+            "title_aux": "ComfyUI-CustomNodes"
+        }
+    ],
+    "https://github.com/wallish77/wlsh_nodes": [
+        [
+            "Alternating KSampler (WLSH)",
+            "Build Filename String (WLSH)",
+            "CLIP +/- w/Text Unified (WLSH)",
+            "CLIP Positive-Negative (WLSH)",
+            "CLIP Positive-Negative XL (WLSH)",
+            "CLIP Positive-Negative XL w/Text (WLSH)",
+            "CLIP Positive-Negative w/Text (WLSH)",
+            "Checkpoint Loader w/Name (WLSH)",
+            "Empty Latent by Pixels (WLSH)",
+            "Empty Latent by Ratio (WLSH)",
+            "Empty Latent by Size (WLSH)",
+            "Generate Border Mask (WLSH)",
+            "Grayscale Image (WLSH)",
+            "Image Load with Metadata (WLSH)",
+            "Image Save with Prompt (WLSH)",
+            "Image Save with Prompt File (WLSH)",
+            "Image Save with Prompt/Info (WLSH)",
+            "Image Save with Prompt/Info File (WLSH)",
+            "Image Scale By Factor (WLSH)",
+            "Image Scale by Shortside (WLSH)",
+            "KSamplerAdvanced (WLSH)",
+            "Multiply Integer (WLSH)",
+            "Outpaint to Image (WLSH)",
+            "Prompt Weight (WLSH)",
+            "Quick Resolution Multiply (WLSH)",
+            "Resolutions by Ratio (WLSH)",
+            "SDXL Quick Empty Latent (WLSH)",
+            "SDXL Quick Image Scale (WLSH)",
+            "SDXL Resolutions (WLSH)",
+            "SDXL Steps (WLSH)",
+            "Save Positive Prompt(WLSH)",
+            "Save Prompt (WLSH)",
+            "Save Prompt/Info (WLSH)",
+            "Seed and Int (WLSH)",
+            "Seed to Number (WLSH)",
+            "Simple Pattern Replace (WLSH)",
+            "Simple String Combine (WLSH)",
+            "Time String (WLSH)",
+            "Upscale by Factor with Model (WLSH)",
+            "VAE Encode for Inpaint w/Padding (WLSH)"
+        ],
+        {
+            "title_aux": "wlsh_nodes"
+        }
+    ],
+    "https://github.com/web3nomad/ComfyUI_Invisible_Watermark": [
+        [
+            "InvisibleWatermarkEncode"
+        ],
+        {
+            "title_aux": "ComfyUI Invisible Watermark"
+        }
+    ],
+    "https://github.com/webfiltered/DebugNode-ComfyUI": [
+        [
+            "WTFDebugNode"
+        ],
+        {
+            "title_aux": "WTF? - a debug node for ComfyUI"
+        }
+    ],
+    "https://github.com/whatbirdisthat/cyberdolphin": [
+        [
+            "\ud83d\udc2c Gradio ChatInterface",
+            "\ud83d\udc2c OpenAI Advanced",
+            "\ud83d\udc2c OpenAI Compatible",
+            "\ud83d\udc2c OpenAI DALL\u00b7E",
+            "\ud83d\udc2c OpenAI Simple"
+        ],
+        {
+            "title_aux": "cyberdolphin"
+        }
+    ],
+    "https://github.com/whmc76/ComfyUI-Openpose-Editor-Plus": [
+        [
+            "CDL.OpenPoseEditorPlus"
+        ],
+        {
+            "title_aux": "ComfyUI-Openpose-Editor-Plus"
+        }
+    ],
+    "https://github.com/wmatson/easy-comfy-nodes": [
+        [
+            "EZAssocDictNode",
+            "EZAssocImgNode",
+            "EZAssocStrNode",
+            "EZEmptyDictNode",
+            "EZHttpPostNode",
+            "EZLoadImgBatchFromUrlsNode",
+            "EZLoadImgFromUrlNode",
+            "EZRemoveImgBackground",
+            "EZS3Uploader"
+        ],
+        {
+            "title_aux": "easy-comfy-nodes"
+        }
+    ],
+    "https://github.com/wmpmiles/ComfyUI-GTF-Utilities": [
+        [
+            "BBOX | Change",
+            "BBOX | From Mask",
+            "BBOX | Scale Area",
+            "Dimensions | Align To",
+            "Dimensions | Change",
+            "Dimensions | From GTF",
+            "Dimensions | From Raw",
+            "Dimensions | Scale",
+            "Dimensions | Scale to Megapixels",
+            "Dimensions | To Raw",
+            "GTF | Colorspace - Linear to Log",
+            "GTF | Colorspace - Log to Linear",
+            "GTF | Colorspace - SRGB Gamma to Linear",
+            "GTF | Colorspace - SRGB Linear to Gamma",
+            "GTF | Colorspace - Standard Gamma to Linear",
+            "GTF | Colorspace - Standard Linear to Gamma",
+            "GTF | Convert - Batch Max",
+            "GTF | Convert - Batch Min",
+            "GTF | Convert - Channel Max",
+            "GTF | Convert - Channel Min",
+            "GTF | Convert - Luminance",
+            "GTF | Convert - Max",
+            "GTF | Convert - Min",
+            "GTF | Filter - Binary Threshold",
+            "GTF | Filter - Convolve",
+            "GTF | Filter - Gradient NMS Mask",
+            "GTF | Filter - Hysteresis Threshold",
+            "GTF | Filter - Invert",
+            "GTF | Filter - Morphological",
+            "GTF | Filter - Patch Max",
+            "GTF | Filter - Patch Median",
+            "GTF | Filter - Patch Min",
+            "GTF | Filter - Patch Range Normalize",
+            "GTF | Filter - Quantize",
+            "GTF | Filter - Range Normalize",
+            "GTF | Filter - Sum Normalize",
+            "GTF | From Image",
+            "GTF | From Latent",
+            "GTF | From Mask",
+            "GTF | Helper - Area Window Radius",
+            "GTF | Helper - Derivative of Gaussian Area Radius",
+            "GTF | Helper - Gaussian Area Radius",
+            "GTF | Helper - Mitchell Netravali Radius",
+            "GTF | Helper - Otsu's Method",
+            "GTF | Logic - And",
+            "GTF | Logic - Equal",
+            "GTF | Logic - Greater Than",
+            "GTF | Logic - Greater Than or Equal",
+            "GTF | Logic - Less Than",
+            "GTF | Logic - Less Than or Equal",
+            "GTF | Logic - Not",
+            "GTF | Logic - Or",
+            "GTF | Logic - Xor",
+            "GTF | Math - Absolute",
+            "GTF | Math - Add",
+            "GTF | Math - Cartesian to Polar",
+            "GTF | Math - Divide",
+            "GTF | Math - Lerp",
+            "GTF | Math - Multiply",
+            "GTF | Math - Negative",
+            "GTF | Math - Polar to Cartesian",
+            "GTF | Math - Pow",
+            "GTF | Math - Reciprocal",
+            "GTF | Math - Subtract",
+            "GTF | Resample - 2D",
+            "GTF | Resample - Coords",
+            "GTF | Resample - Separable",
+            "GTF | Source - Kernel X",
+            "GTF | Source - Kernel Y",
+            "GTF | Source - One",
+            "GTF | Source - RGB",
+            "GTF | Source - Value",
+            "GTF | Source - Zero",
+            "GTF | Special - Derivative of Gaussian",
+            "GTF | Special - Gaussian",
+            "GTF | Special - Jinc",
+            "GTF | Special - Sinc",
+            "GTF | To Image",
+            "GTF | To Mask",
+            "GTF | Tonemap - ACES",
+            "GTF | Tonemap - Reinhard",
+            "GTF | Tonemap - Reinhard Extended",
+            "GTF | Tonemap - Reinhard Extended over Luminance",
+            "GTF | Tonemap - Reinhard over Luminance",
+            "GTF | Tonemap - Reinhard-Jodie",
+            "GTF | Tonemap - Reinhard-Jodie Extended",
+            "GTF | Tonemap - Uncharted 2",
+            "GTF | Transform - Batch Concatenate",
+            "GTF | Transform - Channel Concatenate",
+            "GTF | Transform - Connected Components",
+            "GTF | Transform - Crop to BBOX",
+            "GTF | Transform - Crop/Uncrop with Anchor",
+            "GTF | Transform - Flip Horizontal",
+            "GTF | Transform - Flip Vertical",
+            "GTF | Transform - Rotate 180",
+            "GTF | Transform - Rotate CCW",
+            "GTF | Transform - Rotate CW",
+            "GTF | Transform - Transpose",
+            "GTF | Transform - Uncrop from BBOX",
+            "GTF | Trig - Acos",
+            "GTF | Trig - Asin",
+            "GTF | Trig - Atan",
+            "GTF | Trig - Atan2",
+            "GTF | Trig - Cos",
+            "GTF | Trig - Hypot",
+            "GTF | Trig - Sin",
+            "GTF | Trig - Tan",
+            "GTF | Update Latent",
+            "GTF | Window - Area",
+            "GTF | Window - Boxcar",
+            "GTF | Window - Lanczos",
+            "GTF | Window - Mitchell-Netravali",
+            "GTF | Window - Triangle",
+            "Primitive | Boolean",
+            "Primitive | Float",
+            "Primitive | Integer",
+            "Primitive | String",
+            "Primitive | Text"
+        ],
+        {
+            "author": "wmpmiles",
+            "description": "TODO",
+            "nickname": "GTFU",
+            "title": "GTF Utilities",
+            "title_aux": "ComfyUI-GTF-Utilities"
+        }
+    ],
+    "https://github.com/wolfden/ComfyUi_PromptStylers": [
+        [
+            "SDXLPromptStylerAll",
+            "SDXLPromptStylerHorror",
+            "SDXLPromptStylerMisc",
+            "SDXLPromptStylerbyArtist",
+            "SDXLPromptStylerbyCamera",
+            "SDXLPromptStylerbyComposition",
+            "SDXLPromptStylerbyCyberpunkSurrealism",
+            "SDXLPromptStylerbyDepth",
+            "SDXLPromptStylerbyEnvironment",
+            "SDXLPromptStylerbyFantasySetting",
+            "SDXLPromptStylerbyFilter",
+            "SDXLPromptStylerbyFocus",
+            "SDXLPromptStylerbyImpressionism",
+            "SDXLPromptStylerbyLighting",
+            "SDXLPromptStylerbyMileHigh",
+            "SDXLPromptStylerbyMood",
+            "SDXLPromptStylerbyMythicalCreature",
+            "SDXLPromptStylerbyOriginal",
+            "SDXLPromptStylerbyQuantumRealism",
+            "SDXLPromptStylerbySteamPunkRealism",
+            "SDXLPromptStylerbySubject",
+            "SDXLPromptStylerbySurrealism",
+            "SDXLPromptStylerbyTheme",
+            "SDXLPromptStylerbyTimeofDay",
+            "SDXLPromptStylerbyWyvern",
+            "SDXLPromptbyCelticArt",
+            "SDXLPromptbyContemporaryNordicArt",
+            "SDXLPromptbyFashionArt",
+            "SDXLPromptbyGothicRevival",
+            "SDXLPromptbyIrishFolkArt",
+            "SDXLPromptbyRomanticNationalismArt",
+            "SDXLPromptbySportsArt",
+            "SDXLPromptbyStreetArt",
+            "SDXLPromptbyVikingArt",
+            "SDXLPromptbyWildlifeArt"
+        ],
+        {
+            "title_aux": "SDXL Prompt Styler (customized version by wolfden)"
+        }
+    ],
+    "https://github.com/wolfden/ComfyUi_String_Function_Tree": [
+        [
+            "StringFunction"
+        ],
+        {
+            "title_aux": "ComfyUi_String_Function_Tree"
+        }
+    ],
+    "https://github.com/wootwootwootwoot/ComfyUI-RK-Sampler": [
+        [
+            "RungeKuttaSampler"
+        ],
+        {
+            "author": "wootwootwootwoot",
+            "description": "Batched Runge-Kutta Samplers for ComfyUI",
+            "nickname": "ComfyUI-RK-Sampler",
+            "title": "ComfyUI-RK-Sampler",
+            "title_aux": "ComfyUI-RK-Sampler"
+        }
+    ],
+    "https://github.com/wsippel/comfyui_ws/raw/main/sdxl_utility.py": [
+        [
+            "SDXLResolutionPresets"
+        ],
+        {
+            "title_aux": "SDXLResolutionPresets"
+        }
+    ],
+    "https://github.com/wujm424606/ComfyUi-Ollama-YN": [
+        [
+            "OllamaGenerate",
+            "OllamaGenerateAdvance",
+            "OllamaSpecialGenerateAdvance",
+            "OllamaVision"
+        ],
+        {
+            "title_aux": "ComfyUi-Ollama-YN"
+        }
+    ],
+    "https://github.com/wutipong/ComfyUI-TextUtils": [
+        [
+            "Text Utils - Join N-Elements of String List",
+            "Text Utils - Join String List",
+            "Text Utils - Join Strings",
+            "Text Utils - Split String to List"
+        ],
+        {
+            "title_aux": "ComfyUI-TextUtils"
+        }
+    ],
+    "https://github.com/wwwins/ComfyUI-Simple-Aspect-Ratio": [
+        [
+            "SimpleAspectRatio"
+        ],
+        {
+            "title_aux": "ComfyUI-Simple-Aspect-Ratio"
+        }
+    ],
+    "https://github.com/xXAdonesXx/NodeGPT": [
+        [
+            "AppendAgent",
+            "Assistant",
+            "Chat",
+            "ChatGPT",
+            "CombineInput",
+            "Conditioning",
+            "CostumeAgent_1",
+            "CostumeAgent_2",
+            "CostumeMaster_1",
+            "Critic",
+            "DisplayString",
+            "DisplayTextAsImage",
+            "EVAL",
+            "Engineer",
+            "Executor",
+            "GroupChat",
+            "Image_generation_Conditioning",
+            "LM_Studio",
+            "LoadAPIconfig",
+            "LoadTXT",
+            "MemGPT",
+            "Memory_Excel",
+            "Model_1",
+            "Ollama",
+            "Output2String",
+            "Planner",
+            "Scientist",
+            "TextCombine",
+            "TextGeneration",
+            "TextGenerator",
+            "TextInput",
+            "TextOutput",
+            "UserProxy",
+            "llama-cpp",
+            "llava",
+            "oobaboogaOpenAI"
+        ],
+        {
+            "title_aux": "NodeGPT"
+        }
+    ],
+    "https://github.com/xiaoxiaodesha/hd_node": [
+        [
+            "Combine HDMasks",
+            "Cover HDMasks",
+            "HD FaceIndex",
+            "HD GetMaskArea",
+            "HD Image Levels",
+            "HD SmoothEdge",
+            "HD UltimateSDUpscale"
+        ],
+        {
+            "title_aux": "hd-nodes-comfyui"
+        }
+    ],
+    "https://github.com/xlinx/ComfyUI-decadetw-auto-messaging-realtime": [
+        [
+            "Auto-MSG-ALL",
+            "Auto-MSG-Discord-Bot",
+            "Auto-MSG-Line-Notify",
+            "Auto-MSG-Telegram-Bot"
+        ],
+        {
+            "title_aux": "ComfyUI-decadetw-auto-messaging-realtime"
+        }
+    ],
+    "https://github.com/xlinx/ComfyUI-decadetw-auto-prompt-llm": [
+        [
+            "Auto-LLM-Text",
+            "Auto-LLM-Text-Vision",
+            "Auto-LLM-Vision"
+        ],
+        {
+            "title_aux": "ComfyUI-decadetw-auto-prompt-llm"
+        }
+    ],
+    "https://github.com/xlinx/ComfyUI-decadetw-spout-syphon-im-vj": [
+        [
+            "Im-SD-VJ-SPOUT",
+            "Im-SD-VJ-SYPHON"
+        ],
+        {
+            "title_aux": "ComfyUI-decadetw-spout-syphon-im-vj"
+        }
+    ],
+    "https://github.com/xliry/ComfyUI_SendDiscord": [
+        [
+            "SendDiscord"
+        ],
+        {
+            "title_aux": "ComfyUI_SendDiscord"
+        }
+    ],
+    "https://github.com/xuhongming251/ComfyUI-GPEN": [
+        [
+            "FaceEnhancement"
+        ],
+        {
+            "title_aux": "ComfyUI-GPEN"
+        }
+    ],
+    "https://github.com/xuhongming251/ComfyUI-MuseTalkUtils": [
+        [
+            "MuseTalkPostprocess",
+            "MuseTalkPreprocess",
+            "MuseTalkTrain",
+            "MuseTalkTrainPreprocess",
+            "MuseTalkUncropMask"
+        ],
+        {
+            "title_aux": "ComfyUI-MuseTalkUtils"
+        }
+    ],
+    "https://github.com/ycchanau/ComfyUI_Preview_Magnifier": [
+        [
+            "YC.ImageComparerMagnifier",
+            "YC.PreviewImageMagnifier",
+            "YC.XYPreviewImageMagnifier"
+        ],
+        {
+            "title_aux": "ComfyUI Preview Magnifier"
+        }
+    ],
+    "https://github.com/yffyhk/comfyui_auto_danbooru": [
+        [
+            "GetDanbooru",
+            "TagEncode"
+        ],
+        {
+            "title_aux": "comfyui_auto_danbooru"
+        }
+    ],
+    "https://github.com/yhayano-ponotech/ComfyUI-Fal-API-Flux": [
+        [
+            "FalAPIFluxControlNetConfigNode",
+            "FalAPIFluxControlNetUnionConfigNode",
+            "FalAPIFluxLoraConfigNode",
+            "FalAPIFluxNode",
+            "FalAPIFluxNodeWithControlNet"
+        ],
+        {
+            "title_aux": "ComfyUI-Fal-API-Flux"
+        }
+    ],
+    "https://github.com/yiwangsimple/ComfyUI_DW_Chat": [
+        [
+            "DeepSeekChatNode",
+            "DeepSeekTranslator",
+            "ErrorLogNode",
+            "ExecutionTime",
+            "FileBasedChatNode",
+            "Gemini1_5Text",
+            "Gemini1_5Vision",
+            "GeminiFluxPrompt",
+            "Gemma2PromptNode",
+            "GemmaDialogueNode",
+            "GithubLinkNode",
+            "GroqChatNode",
+            "MoonshotMultiChatNode",
+            "MoonshotSingleChatNode",
+            "OllamaImageToText",
+            "OllamaPromptExtractor",
+            "OllamaTextToText",
+            "PromptExtractorNode",
+            "SD3LongCaptionerV2",
+            "SDPromptAgent",
+            "dwimage2"
+        ],
+        {
+            "title_aux": "ComfyUI_DW_Chat"
+        }
+    ],
+    "https://github.com/yolain/ComfyUI-Easy-Use": [
+        [
+            "dynamicThresholdingFull",
+            "easy LLLiteLoader",
+            "easy XYInputs: CFG Scale",
+            "easy XYInputs: Checkpoint",
+            "easy XYInputs: ControlNet",
+            "easy XYInputs: Denoise",
+            "easy XYInputs: Lora",
+            "easy XYInputs: ModelMergeBlocks",
+            "easy XYInputs: NegativeCond",
+            "easy XYInputs: NegativeCondList",
+            "easy XYInputs: PositiveCond",
+            "easy XYInputs: PositiveCondList",
+            "easy XYInputs: PromptSR",
+            "easy XYInputs: Sampler/Scheduler",
+            "easy XYInputs: Seeds++ Batch",
+            "easy XYInputs: Steps",
+            "easy XYPlot",
+            "easy XYPlotAdvanced",
+            "easy a1111Loader",
+            "easy anythingIndexSwitch",
+            "easy applyBrushNet",
+            "easy applyFooocusInpaint",
+            "easy applyInpaint",
+            "easy applyPowerPaint",
+            "easy batchAnything",
+            "easy boolean",
+            "easy cascadeKSampler",
+            "easy cascadeLoader",
+            "easy ckptNames",
+            "easy cleanGpuUsed",
+            "easy clearCacheAll",
+            "easy clearCacheKey",
+            "easy comfyLoader",
+            "easy compare",
+            "easy conditioningIndexSwitch",
+            "easy controlnetLoader",
+            "easy controlnetLoader++",
+            "easy controlnetLoaderADV",
+            "easy controlnetNames",
+            "easy controlnetStack",
+            "easy convertAnything",
+            "easy detailerFix",
+            "easy dynamiCrafterLoader",
+            "easy float",
+            "easy fluxLoader",
+            "easy forLoopEnd",
+            "easy forLoopStart",
+            "easy fullCascadeKSampler",
+            "easy fullLoader",
+            "easy fullkSampler",
+            "easy globalSeed",
+            "easy hiresFix",
+            "easy humanSegmentation",
+            "easy hunyuanDiTLoader",
+            "easy icLightApply",
+            "easy if",
+            "easy ifElse",
+            "easy imageBatchToImageList",
+            "easy imageChooser",
+            "easy imageColorMatch",
+            "easy imageConcat",
+            "easy imageCount",
+            "easy imageCropFromMask",
+            "easy imageDetailTransfer",
+            "easy imageIndexSwitch",
+            "easy imageInsetCrop",
+            "easy imageInterrogator",
+            "easy imageListToImageBatch",
+            "easy imagePixelPerfect",
+            "easy imageRatio",
+            "easy imageRemBg",
+            "easy imageSave",
+            "easy imageScaleDown",
+            "easy imageScaleDownBy",
+            "easy imageScaleDownToSize",
+            "easy imageSize",
+            "easy imageSizeByLongerSide",
+            "easy imageSizeBySide",
+            "easy imageSplitGrid",
+            "easy imageSplitList",
+            "easy imageSwitch",
+            "easy imageToBase64",
+            "easy imageToMask",
+            "easy imageUncropFromBBOX",
+            "easy imagesSplitImage",
+            "easy injectNoiseToLatent",
+            "easy instantIDApply",
+            "easy instantIDApplyADV",
+            "easy int",
+            "easy ipadapterApply",
+            "easy ipadapterApplyADV",
+            "easy ipadapterApplyEmbeds",
+            "easy ipadapterApplyEncoder",
+            "easy ipadapterApplyFaceIDKolors",
+            "easy ipadapterApplyFromParams",
+            "easy ipadapterApplyRegional",
+            "easy ipadapterStyleComposition",
+            "easy isNone",
+            "easy isSDXL",
+            "easy joinImageBatch",
+            "easy kSampler",
+            "easy kSamplerDownscaleUnet",
+            "easy kSamplerInpainting",
+            "easy kSamplerLayerDiffusion",
+            "easy kSamplerSDTurbo",
+            "easy kSamplerTiled",
+            "easy kolorsLoader",
+            "easy latentCompositeMaskedWithCond",
+            "easy latentNoisy",
+            "easy loadImageBase64",
+            "easy loraStack",
+            "easy mathFloat",
+            "easy mathInt",
+            "easy mathString",
+            "easy negative",
+            "easy outputToList",
+            "easy pipeBatchIndex",
+            "easy pipeEdit",
+            "easy pipeEditPrompt",
+            "easy pipeIn",
+            "easy pipeOut",
+            "easy pipeToBasicPipe",
+            "easy pixArtLoader",
+            "easy portraitMaster",
+            "easy poseEditor",
+            "easy positive",
+            "easy preDetailerFix",
+            "easy preMaskDetailerFix",
+            "easy preSampling",
+            "easy preSamplingAdvanced",
+            "easy preSamplingCascade",
+            "easy preSamplingCustom",
+            "easy preSamplingDynamicCFG",
+            "easy preSamplingLayerDiffusion",
+            "easy preSamplingLayerDiffusionADDTL",
+            "easy preSamplingNoiseIn",
+            "easy preSamplingSdTurbo",
+            "easy prompt",
+            "easy promptConcat",
+            "easy promptLine",
+            "easy promptList",
+            "easy promptReplace",
+            "easy pulIDApply",
+            "easy pulIDApplyADV",
+            "easy rangeFloat",
+            "easy rangeInt",
+            "easy removeLocalImage",
+            "easy samLoaderPipe",
+            "easy seed",
+            "easy showAnything",
+            "easy showLoaderSettingsNames",
+            "easy showSpentTime",
+            "easy showTensorShape",
+            "easy sliderControl",
+            "easy stableDiffusion3API",
+            "easy string",
+            "easy styleAlignedBatchAlign",
+            "easy stylesSelector",
+            "easy sv3dLoader",
+            "easy svdLoader",
+            "easy textIndexSwitch",
+            "easy textSwitch",
+            "easy ultralyticsDetectorPipe",
+            "easy unSampler",
+            "easy whileLoopEnd",
+            "easy whileLoopStart",
+            "easy wildcards",
+            "easy xyAny",
+            "easy zero123Loader"
+        ],
+        {
+            "title_aux": "ComfyUI Easy Use"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyImageSubmit": [
+        [
+            "DTSimpleSubmitImage",
+            "DTSubmitImage"
+        ],
+        {
+            "title_aux": "Comfy AI DoubTech.ai Image Sumission Node"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyLoaders": [
+        [
+            "DTCLIPLoader",
+            "DTCLIPVisionLoader",
+            "DTCheckpointLoader",
+            "DTCheckpointLoaderSimple",
+            "DTControlNetLoader",
+            "DTDiffControlNetLoader",
+            "DTDiffusersLoader",
+            "DTGLIGENLoader",
+            "DTLoadImage",
+            "DTLoadImageMask",
+            "DTLoadLatent",
+            "DTLoraLoader",
+            "DTLorasLoader",
+            "DTStyleModelLoader",
+            "DTUpscaleModelLoader",
+            "DTVAELoader",
+            "DTunCLIPCheckpointLoader"
+        ],
+        {
+            "title_aux": "Comfy UI Online Loaders"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyPromptAgent": [
+        [
+            "DTPromptAgent",
+            "DTPromptAgentString"
+        ],
+        {
+            "title_aux": "Comfy UI Prompt Agent"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyQRCodes": [
+        [
+            "QRCode"
+        ],
+        {
+            "title_aux": "Comfy UI QR Codes"
+        }
+    ],
+    "https://github.com/yolanother/DTAIComfyVariables": [
+        [
+            "DTCLIPTextEncode",
+            "DTSingleLineStringVariable",
+            "DTSingleLineStringVariableNoClip",
+            "FloatVariable",
+            "IntVariable",
+            "StringFormat",
+            "StringFormatSingleLine",
+            "StringVariable"
+        ],
+        {
+            "title_aux": "Variables for Comfy UI"
+        }
+    ],
+    "https://github.com/yolanother/DTAIImageToTextNode": [
+        [
+            "DTAIImageToTextNode",
+            "DTAIImageUrlToTextNode"
+        ],
+        {
+            "title_aux": "Image to Text Node"
+        }
+    ],
+    "https://github.com/youyegit/tdxh_node_comfyui": [
+        [
+            "TdxhBoolNumber",
+            "TdxhClipVison",
+            "TdxhControlNetApply",
+            "TdxhControlNetProcessor",
+            "TdxhFloatInput",
+            "TdxhImageToSize",
+            "TdxhImageToSizeAdvanced",
+            "TdxhImg2ImgLatent",
+            "TdxhIntInput",
+            "TdxhLoraLoader",
+            "TdxhOnOrOff",
+            "TdxhReference",
+            "TdxhStringInput",
+            "TdxhStringInputTranslator"
+        ],
+        {
+            "title_aux": "tdxh_node_comfyui"
+        }
+    ],
+    "https://github.com/yuan199696/add_text_2_img": [
+        [
+            "AddText"
+        ],
+        {
+            "title_aux": "add_text_2_img"
+        }
+    ],
+    "https://github.com/yuan199696/chinese_clip_encode": [
+        [
+            "ChineseCLIPEncode"
+        ],
+        {
+            "title_aux": "chinese_clip_encode"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt": [
+        [
+            "DepthAnythingTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI Depth Anything TensorRT"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt": [
+        [
+            "DwposeTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI Dwpose TensorRT"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-PiperTTS": [
+        [
+            "PiperTTS"
+        ],
+        {
+            "title_aux": "ComfyUI PiperTTS"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Pronodes": [
+        [
+            "LoadImageFromOutputDirectoryNode",
+            "LoadYoutubeVideoNode",
+            "PreviewVHSAudioNode",
+            "SaveAndOverwriteImageNode",
+            "VHSFilenamesToPathNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Pronodes"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt": [
+        [
+            "UpscalerTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI Upscaler TensorRT"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Vsgan": [
+        [
+            "DepthAnythingTrtNode",
+            "TTSCapcutNode",
+            "UpscaleVideoTrtNode"
+        ],
+        {
+            "title_aux": "ComfyUI-Vsgan"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-Whisper": [
+        [
+            "Add Subtitles To Background",
+            "Add Subtitles To Frames",
+            "Apply Whisper",
+            "Resize Cropped Subtitles"
+        ],
+        {
+            "title_aux": "ComfyUI Whisper"
+        }
+    ],
+    "https://github.com/yuvraj108c/ComfyUI-YoloNasPose-Tensorrt": [
+        [
+            "YoloNasPoseTensorrt"
+        ],
+        {
+            "title_aux": "ComfyUI YoloNasPose Tensorrt"
+        }
+    ],
+    "https://github.com/yvann-ba/ComfyUI_Yvann-Nodes": [
+        [
+            "Audio Analysis | YVANN",
+            "Audio Frequency Analysis | YVANN",
+            "Show Text | YVANN"
+        ],
+        {
+            "title_aux": "ComfyUI_Yvann-Nodes"
+        }
+    ],
+    "https://github.com/za-wa-n-go/ComfyUI_Zwng_Nodes": [
+        [
+            "ZwngLoadImagePathOrURL",
+            "ZwngPreviewImageAndMask",
+            "ZwngSimpleGoogleTranslater",
+            "ZwngSimplePhotoshopConnector"
+        ],
+        {
+            "title_aux": "ComfyUI_Zwng_Nodes"
+        }
+    ],
+    "https://github.com/zcfrank1st/Comfyui-Toolbox": [
+        [
+            "PreviewJson",
+            "PreviewVideo",
+            "SaveJson",
+            "TestJsonPreview"
+        ],
+        {
+            "title_aux": "Comfyui-Toolbox"
+        }
+    ],
+    "https://github.com/zcfrank1st/Comfyui-Yolov8": [
+        [
+            "Yolov8Detection",
+            "Yolov8Segmentation"
+        ],
+        {
+            "title_aux": "ComfyUI Yolov8"
+        }
+    ],
+    "https://github.com/zcfrank1st/comfyui_visual_anagrams": [
+        [
+            "VisualAnagramsAnimate",
+            "VisualAnagramsSample"
+        ],
+        {
+            "title_aux": "comfyui_visual_anagram"
+        }
+    ],
+    "https://github.com/zer0TF/cute-comfy": [
+        [
+            "Cute.Placeholder"
+        ],
+        {
+            "title_aux": "Cute Comfy"
+        }
+    ],
+    "https://github.com/zeroxoxo/ComfyUI-Fast-Style-Transfer": [
+        [
+            "FastStyleTransfer",
+            "NeuralStyleTransfer",
+            "TrainFastStyleTransfer"
+        ],
+        {
+            "title_aux": "ComfyUI-Fast-Style-Transfer"
+        }
+    ],
+    "https://github.com/zfkun/ComfyUI_zfkun": [
+        [
+            "ZFLoadImagePath",
+            "ZFPreviewText",
+            "ZFPreviewTextMultiline",
+            "ZFShareScreen",
+            "ZFTextTranslation"
+        ],
+        {
+            "title_aux": "ComfyUI_zfkun"
+        }
+    ],
+    "https://github.com/zhangp365/ComfyUI-utils-nodes": [
+        [
+            "CheckpointLoaderSimpleWithSwitch",
+            "ColorCorrectOfUtils",
+            "ConcatTextOfUtils",
+            "GenderControlOutput",
+            "ImageBatchOneOrMore",
+            "ImageCompositeMaskedWithSwitch",
+            "ImageConcanateOfUtils",
+            "ImageResizeTo8x",
+            "IntAndIntAddOffsetLiteral",
+            "IntMultipleAddLiteral",
+            "LoadImageMaskWithSwitch",
+            "LoadImageMaskWithoutListDir",
+            "LoadImageWithSwitch",
+            "LoadImageWithoutListDir",
+            "MaskAutoSelector",
+            "MaskFastGrow",
+            "MatchImageRatioToPreset",
+            "ModifyTextGender",
+            "SplitMask",
+            "TextPreview",
+            "UpscaleImageWithModelIfNeed"
+        ],
+        {
+            "title_aux": "zhangp365/ComfyUI-utils-nodes"
+        }
+    ],
+    "https://github.com/zhongpei/ComfyUI-InstructIR": [
+        [
+            "InstructIRProcess",
+            "LoadInstructIRModel"
+        ],
+        {
+            "title_aux": "ComfyUI for InstructIR"
+        }
+    ],
+    "https://github.com/zhuanqianfish/ComfyUI-EasyNode": [
+        [
+            "EasyCaptureNode",
+            "EasyVideoOutputNode",
+            "SendImageWebSocket"
+        ],
+        {
+            "title_aux": "EasyCaptureNode for ComfyUI"
+        }
+    ],
+    "https://github.com/zhulu111/ComfyUI_Bxb": [
+        [
+            "sdBxb",
+            "sdBxb_saveImage",
+            "sdBxb_textInput"
+        ],
+        {
+            "title_aux": "ComfyUI_Bxb"
+        }
+    ],
+    "https://github.com/zohac/ComfyUI_ZC_DrawShape": [
+        [
+            "ZcDrawShape"
+        ],
+        {
+            "author": "Zohac",
+            "description": "nodes for artists, designers and animators.",
+            "nickname": "Zc DrawShape",
+            "title": "Zc DrawShape",
+            "title_aux": "ComfyUI_ZC_DrawShape"
+        }
+    ],
+    "https://github.com/zombieyang/sd-ppp": [
+        [
+            "Get Image From Photoshop Layer",
+            "Image Times Opacity",
+            "Mask Times Opacity",
+            "Send Images To Photoshop"
+        ],
+        {
+            "title_aux": "SD-PPP"
+        }
+    ],
+    "https://raw.githubusercontent.com/throttlekitty/SDXLCustomAspectRatio/main/SDXLAspectRatio.py": [
+        [
+            "SDXLAspectRatio"
+        ],
+        {
+            "title_aux": "SDXLCustomAspectRatio"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/model-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/model-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..cbe3b69fa3d56dd81527fc90565a034ae8880348
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/model-list.json
@@ -0,0 +1,694 @@
+{
+  "models": [
+    {
+      "name": "Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro",
+      "type": "controlnet",
+      "base": "FLUX.1",
+      "save_path": "controlnet/FLUX.1/Shakker-Labs-ControlNet-Union-Pro",
+      "description": "FLUX.1 [Dev] Union Controlnet. Supports Canny, Tile, Depth, Blur, Pose, Gray, Low Quality",
+      "reference": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro",
+      "filename": "diffusion_pytorch_model.safetensors",
+      "url": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro/resolve/main/diffusion_pytorch_model.safetensors",
+      "size": "6.6GB"
+    },
+    
+    {
+      "name": "Hyper-SD LoRA (8steps) - FLUX.1 [Dev]",
+      "type": "lora",
+      "base": "FLUX.1",
+      "save_path": "loras/HyperSD/FLUX.1",
+      "description": "Hyper-SD LoRA (8steps) - FLUX.1 [Dev]",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-FLUX.1-dev-8steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-FLUX.1-dev-8steps-lora.safetensors",
+      "size": "1.39GB"
+    },
+    {
+      "name": "Hyper-SD LoRA (16steps) - FLUX.1 [Dev]",
+      "type": "lora",
+      "base": "FLUX.1",
+      "save_path": "loras/HyperSD/FLUX.1",
+      "description": "Hyper-SD LoRA (16steps) - FLUX.1 [Dev]",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-FLUX.1-dev-16steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-FLUX.1-dev-16steps-lora.safetensors",
+      "size": "1.39GB"
+    },
+
+    {
+      "name": "BAAI/SegGPT",
+      "type": "SegGPT",
+      "base": "SegGPT",
+      "save_path": "custom_nodes/comfyui-SegGPT",
+      "description": "SegGPT",
+      "reference": "https://huggingface.co/BAAI/SegGPT",
+      "filename": "seggpt_vit_large.pth",
+      "url": "https://huggingface.co/BAAI/SegGPT/resolve/main/seggpt_vit_large.pth",
+      "size": "1.48GB"
+    },
+
+    {
+      "name": "DMD2 LoRA (4steps)",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/DMD2",
+      "description": "DMD2 LoRA (4steps)",
+      "reference": "https://huggingface.co/tianweiy/DMD2",
+      "filename": "dmd2_sdxl_4step_lora.safetensors",
+      "url": "https://huggingface.co/tianweiy/DMD2/resolve/main/dmd2_sdxl_4step_lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "DMD2 LoRA (4steps/fp16)",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/DMD2",
+      "description": "DMD2 LoRA (4steps/fp16)",
+      "reference": "https://huggingface.co/tianweiy/DMD2",
+      "filename": "dmd2_sdxl_4step_lora_fp16.safetensors",
+      "url": "https://huggingface.co/tianweiy/DMD2/resolve/main/dmd2_sdxl_4step_lora_fp16.safetensors",
+      "size": "394MB"
+    },
+
+    {
+      "name": "Hyper-SD LoRA (1step) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD LoRA (1step) - SD1.5",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-1step-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-1step-lora.safetensors",
+      "size": "269MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (2steps) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD LoRA (2steps) - SD1.5",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-2steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-2steps-lora.safetensors",
+      "size": "269MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (4steps) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD LoRA (4steps)",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-4steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-4steps-lora.safetensors",
+      "size": "269MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (8steps) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD LoRA (8steps)",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-8steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-8steps-lora.safetensors",
+      "size": "269MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (8steps) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD CFG LoRA (8steps)",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-8steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-8steps-CFG-lora.safetensors",
+      "size": "269MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (12steps) - SD1.5",
+      "type": "lora",
+      "base": "SD1.5",
+      "save_path": "loras/HyperSD/SD15",
+      "description": "Hyper-SD CFG LoRA (12steps)",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-12steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-12steps-CFG-lora.safetensors",
+      "size": "269MB"
+    },
+
+    {
+      "name": "Hyper-SD LoRA (1step) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD LoRA (1step) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SDXL-1step-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-1step-lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (2steps) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD LoRA (2steps) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SDXL-2steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-2steps-lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (4steps) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD LoRA (4steps) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD15-4steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-4steps-lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "Hyper-SD LoRA (8steps) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD LoRA (8steps) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SDXL-8steps-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-8steps-lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (8steps) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD CFG LoRA (8steps) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SDXL-8steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-8steps-CFG-lora.safetensors",
+      "size": "787MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (12steps) - SDXL",
+      "type": "lora",
+      "base": "SDXL",
+      "save_path": "loras/HyperSD/SDXL",
+      "description": "Hyper-SD CFG LoRA (12steps) - SDXL",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SDXL-12steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-12steps-CFG-lora.safetensors",
+      "size": "787MB"
+    },
+
+    {
+      "name": "Hyper-SD CFG LoRA (4steps) - SD3",
+      "type": "lora",
+      "base": "SD3",
+      "save_path": "loras/HyperSD/SD3",
+      "description": "Hyper-SD CFG LoRA (4steps) - SD3",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD3-4steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD3-4steps-CFG-lora.safetensors",
+      "size": "472MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (8steps) - SD3",
+      "type": "lora",
+      "base": "SD3",
+      "save_path": "loras/HyperSD/SD3",
+      "description": "Hyper-SD CFG LoRA (8steps) - SD3",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD3-8steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD3-8steps-CFG-lora.safetensors",
+      "size": "472MB"
+    },
+    {
+      "name": "Hyper-SD CFG LoRA (16steps) - SD3",
+      "type": "lora",
+      "base": "SD3",
+      "save_path": "loras/HyperSD/SD3",
+      "description": "Hyper-SD CFG LoRA (16steps) - SD3",
+      "reference": "https://huggingface.co/ByteDance/Hyper-SD",
+      "filename": "Hyper-SD3-16steps-CFG-lora.safetensors",
+      "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD3-16steps-CFG-lora.safetensors",
+      "size": "472MB"
+    },
+
+    {
+      "name": "InstantX/FLUX.1-dev Controlnet (Union)",
+      "type": "controlnet",
+      "base": "FLUX.1",
+      "save_path": "controlnet/FLUX.1/InstantX-FLUX1-Dev-Union",
+      "description": "FLUX.1 [Dev] Union Controlnet. Supports Canny, Depth, Pose, Tile, Blur, Gray Low Quality.",
+      "reference": "https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Union",
+      "filename": "diffusion_pytorch_model.safetensors",
+      "url": "https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Union/resolve/main/diffusion_pytorch_model.safetensors",
+      "size": "6.6GB"
+    },
+
+    {
+      "name": "city96/flux1-dev-F16.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_model/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (f16/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-F16.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-F16.gguf",
+      "size": "23.8GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q2_K.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q2_K/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q2_K.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q2_K.gguf",
+      "size": "4.03GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q3_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q3_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q3_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q3_K_S.gguf",
+      "size": "5.23GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q4_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q4_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q4_0.gguf",
+      "size": "6.79GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q4_1.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_1/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q4_1.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q4_1.gguf",
+      "size": "7.53GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q4_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q4_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q4_K_S.gguf",
+      "size": "6.81GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q5_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q5_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q5_0.gguf",
+      "size": "8.27GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q5_1.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_1/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q5_1.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q5_1.gguf",
+      "size": "9.01GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q5_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q5_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q5_K_S.gguf",
+      "size": "8.29GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q6_K.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q6_K/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q6_K.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q6_K.gguf",
+      "size": "9.86GB"
+    },
+    {
+      "name": "city96/flux1-dev-Q8_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q8_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-dev-gguf",
+      "filename": "flux1-dev-Q8_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q8_0.gguf",
+      "size": "12.7GB"
+    },
+
+    {
+      "name": "city96/flux1-schnell-F16.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (f16/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-F16.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-F16.gguf",
+      "size": "23.8GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q2_K.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q2_K/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q2_K.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q2_K.gguf",
+      "size": "4.01GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q3_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q3_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q3_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q3_K_S.gguf",
+      "size": "5.21GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q4_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q4_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q4_0.gguf",
+      "size": "6.77GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q4_1.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_1/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q4_1.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q4_1.gguf",
+      "size": "7.51GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q4_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q4_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q4_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q4_K_S.gguf",
+      "size": "6.78GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q5_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q5_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q5_0.gguf",
+      "size": "8.25GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q5_1.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_1/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q5_1.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q5_1.gguf",
+      "size": "8.99GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q5_K_S.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q5_K_S/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q5_K_S.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q5_K_S.gguf",
+      "size": "8.26GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q6_K.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q6_K/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q6_K.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q6_K.gguf",
+      "size": "9.83GB"
+    },
+    {
+      "name": "city96/flux1-schnell-Q8_0.gguf",
+      "type": "diffusion_model",
+      "base": "FLUX.1",
+      "save_path": "diffusion_models/FLUX1",
+      "description": "FLUX.1 [Dev] Diffusion model (Q8_0/.gguf)",
+      "reference": "https://huggingface.co/city96/FLUX.1-schnell-gguf",
+      "filename": "flux1-schnell-Q8_0.gguf",
+      "url": "https://huggingface.co/city96/FLUX.1-schnell-gguf/resolve/main/flux1-schnell-Q8_0.gguf",
+      "size": "12.7GB"
+    },
+
+    {
+      "name": "TAEF1 Decoder",
+      "type": "TAESD",
+      "base": "FLUX.1",
+      "save_path": "vae_approx",
+      "description": "(FLUX.1 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+      "reference": "https://github.com/madebyollin/taesd",
+      "filename": "taef1_decoder.pth",
+      "url": "https://github.com/madebyollin/taesd/raw/main/taef1_decoder.pth",
+      "size": "4.71MB"
+    },
+    {
+      "name": "TAEF1 Encoder",
+      "type": "TAESD",
+      "base": "FLUX.1",
+      "save_path": "vae_approx",
+      "description": "(FLUX.1 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
+      "reference": "https://github.com/madebyollin/taesd",
+      "filename": "taef1_encoder.pth",
+      "url": "https://github.com/madebyollin/taesd/raw/main/taef1_encoder.pth",
+      "size": "4.71MB"
+    },
+
+    {
+      "name": "comfyanonymous/clip_l",
+      "type": "clip",
+      "base": "clip",
+      "save_path": "default",
+      "description": "clip_l model",
+      "reference": "https://huggingface.co/comfyanonymous/flux_text_encoders/tree/main",
+      "filename": "clip_l.safetensors",
+      "url": "https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors",
+      "size": "246MB"
+    },
+
+    {
+      "name": "Comfy Org/FLUX.1 [dev] Checkpoint model (fp8)",
+      "type": "checkpoint",
+      "base": "FLUX.1",
+      "save_path": "checkpoints/FLUX1",
+      "description": "FLUX.1 [dev] Checkpoint model (fp8)",
+      "reference": "https://huggingface.co/Comfy-Org/flux1-dev/tree/main",
+      "filename": "flux1-dev-fp8.safetensors",
+      "url": "https://huggingface.co/Comfy-Org/flux1-dev/resolve/main/flux1-dev-fp8.safetensors",
+      "size": "17.2GB"
+    },
+    {
+      "name": "Comfy Org/FLUX.1 [schnell] Checkpoint model (fp8)",
+      "type": "checkpoint",
+      "base": "FLUX.1",
+      "save_path": "checkpoints/FLUX1",
+      "description": "FLUX.1 [schnell] Checkpoint model (fp8)",
+      "reference": "https://huggingface.co/Comfy-Org/flux1-dev/tree/main",
+      "filename": "flux1-schnell-fp8.safetensors",
+      "url": "https://huggingface.co/Comfy-Org/flux1-schnell/resolve/main/flux1-schnell-fp8.safetensors",
+      "size": "17.2GB"
+    },
+    
+    {
+      "name": "google-t5/t5-v1_1-xxl_encoderonly-fp16",
+      "type": "clip",
+      "base": "t5",
+      "save_path": "clip/t5",
+      "description": "The encoder part of https://huggingface.co/google/t5-v1_1-xxl, used with SD3 and Flux1",
+      "reference": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly",
+      "filename": "google_t5-v1_1-xxl_encoderonly-fp16.safetensors",
+      "url": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly/resolve/main/pytorch_model.safetensors",
+      "size": "10.1GB"
+    },
+    {
+      "name": "google-t5/t5-v1_1-xxl_encoderonly-fp8_e4m3fn",
+      "type": "clip",
+      "base": "t5",
+      "save_path": "clip/t5",
+      "description": "The encoder part of https://huggingface.co/google/t5-v1_1-xxl, used with SD3 and Flux1",
+      "reference": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly",
+      "filename": "google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors",
+      "url": "https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly/resolve/main/t5xxl_fp8_e4m3fn.safetensors",
+      "size": "4.89GB"
+    },
+
+    {
+      "name": "FLUX.1 [schnell] Diffusion model",
+      "type": "unet",
+      "base": "FLUX.1",
+      "save_path": "unet/FLUX1",
+      "description": "FLUX.1 [Schnell] Diffusion model (a.k.a. FLUX.1 turbo model)[w/Due to the large size of the model, it is recommended to download it through a browser if possible.]",
+      "reference": "https://huggingface.co/black-forest-labs/FLUX.1-schnell",
+      "filename": "flux1-schnell.safetensors",
+      "url": "https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/flux1-schnell.safetensors",
+      "size": "23.8GB"
+    },
+
+    {
+      "name": "FLUX.1 VAE model",
+      "type": "VAE",
+      "base": "FLUX.1",
+      "save_path": "vae/FLUX1",
+      "description": "FLUX.1 VAE model",
+      "reference": "https://huggingface.co/black-forest-labs/FLUX.1-schnell",
+      "filename": "ae.sft",
+      "url": "https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/ae.safetensors",
+      "size": "335MB"
+    },
+
+    {
+      "name": "kijai/FLUX.1 [schnell] Diffusion model (float8_e4m3fn)",
+      "type": "unet",
+      "base": "FLUX.1",
+      "save_path": "unet/FLUX1",
+      "description": "FLUX.1 [Schnell] Diffusion model (float8_e4m3fn)",
+      "reference": "https://huggingface.co/Kijai/flux-fp8",
+      "filename": "flux1-schnell-fp8.safetensors",
+      "url": "https://huggingface.co/Kijai/flux-fp8/resolve/main/flux1-schnell-fp8.safetensors",
+      "size": "11.9GB"
+    },
+    {
+      "name": "kijai/FLUX.1 [dev] Diffusion model (float8_e4m3fn)",
+      "type": "unet",
+      "base": "FLUX.1",
+      "save_path": "unet/FLUX1",
+      "description": "FLUX.1 [dev] Diffusion model (float8_e4m3fn)",
+      "reference": "https://huggingface.co/Kijai/flux-fp8",
+      "filename": "flux1-dev-fp8.safetensors",
+      "url": "https://huggingface.co/Kijai/flux-fp8/resolve/main/flux1-dev-fp8.safetensors",
+      "size": "11.9GB"
+    },
+
+    {
+      "name": "photomaker-v2.bin",
+      "type": "photomaker",
+      "base": "SDXL",
+      "save_path": "photomaker",
+      "description": "PhotoMaker model. This model is compatible with SDXL.",
+      "reference": "https://huggingface.co/TencentARC/PhotoMaker-V2",
+      "filename": "photomaker-v2.bin",
+      "url": "https://huggingface.co/TencentARC/PhotoMaker-V2/resolve/main/photomaker-v2.bin",
+      "size": "1.8GB"
+    },
+    
+    {
+      "name": "hunyuan_dit_1.2.safetensors",
+      "type": "checkpoint",
+      "base": "Hunyuan-DiT",
+      "save_path": "checkpoints/hunyuan_dit_comfyui",
+      "description": "Different versions of HunyuanDIT packaged for ComfyUI use.",
+      "reference": "https://huggingface.co/comfyanonymous/hunyuan_dit_comfyui",
+      "filename": "hunyuan_dit_1.2.safetensors",
+      "url": "https://huggingface.co/comfyanonymous/hunyuan_dit_comfyui/resolve/main/hunyuan_dit_1.2.safetensors",
+      "size": "8.24GB"
+    },
+    {
+      "name": "hunyuan_dit_1.1.safetensors",
+      "type": "checkpoint",
+      "base": "Hunyuan-DiT",
+      "save_path": "checkpoints/hunyuan_dit_comfyui",
+      "description": "Different versions of HunyuanDIT packaged for ComfyUI use.",
+      "reference": "https://huggingface.co/comfyanonymous/hunyuan_dit_comfyui",
+      "filename": "hunyuan_dit_1.1.safetensors",
+      "url": "https://huggingface.co/comfyanonymous/hunyuan_dit_comfyui/resolve/main/hunyuan_dit_1.1.safetensors",
+      "size": "8.24GB"
+    },
+    {
+      "name": "hunyuan_dit_1.0.safetensors",
+      "type": "checkpoint",
+      "base": "Hunyuan-DiT",
+      "save_path": "checkpoints/hunyuan_dit_comfyui",
+      "description": "Different versions of HunyuanDIT packaged for ComfyUI use.",
+      "reference": "https://huggingface.co/comfyanonymous/hunyuan_dit_comfyui",
+      "filename": "hunyuan_dit_1.0.safetensors",
+      "url": "https://huggingface.co/comfyanonymous/hunyuan_dit_comfyui/resolve/main/hunyuan_dit_1.0.safetensors",
+      "size": "8.24GB"
+    },
+
+    {
+      "name": "xinsir/ControlNet++: All-in-one ControlNet (ProMax model)",
+      "type": "controlnet",
+      "base": "SDXL",
+      "save_path": "controlnet/SDXL/controlnet-union-sdxl-1.0",
+      "description": "All-in-one ControlNet for image generations and editing! (ProMax model)",
+      "reference": "https://huggingface.co/xinsir/controlnet-union-sdxl-1.0",
+      "filename": "diffusion_pytorch_model_promax.safetensors",
+      "url": "https://huggingface.co/xinsir/controlnet-union-sdxl-1.0/resolve/main/diffusion_pytorch_model_promax.safetensors",
+      "size": "2.50GB"
+    },
+    {
+      "name": "xinsir/ControlNet++: All-in-one ControlNet",
+      "type": "controlnet",
+      "base": "SDXL",
+      "save_path": "controlnet/SDXL/controlnet-union-sdxl-1.0",
+      "description": "All-in-one ControlNet for image generations and editing!",
+      "reference": "https://huggingface.co/xinsir/controlnet-union-sdxl-1.0",
+      "filename": "diffusion_pytorch_model.safetensors",
+      "url": "https://huggingface.co/xinsir/controlnet-union-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors",
+      "size": "2.50GB"
+    }
+  ]
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/custom-node-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/custom-node-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..41f98c6785098fa1c4b4b40db7659d18378a6518
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/custom-node-list.json
@@ -0,0 +1,265 @@
+{
+    "custom_nodes": [
+        {
+            "author": "Suzie1",
+            "title": "Guide To Making Custom Nodes in ComfyUI",
+            "reference": "https://github.com/Suzie1/ComfyUI_Guide_To_Making_Custom_Nodes",
+            "files": [
+                "https://github.com/Suzie1/ComfyUI_Guide_To_Making_Custom_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "There is a small node pack attached to this guide. This includes the init file and 3 nodes associated with the tutorials."
+        },
+        {
+            "author": "bamboodia",
+            "title": "BAM Nodes",
+            "reference": "https://github.com/bamboodia/BAM_Nodes",
+            "files": [
+                "https://github.com/bamboodia/BAM_Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "A collection of comfyui nodes that I have made for nothing more than educational purposes."
+        },
+        {
+            "author": "BadCafeCode",
+            "title": "execution-inversion-demo-comfyui",
+            "reference": "https://github.com/BadCafeCode/execution-inversion-demo-comfyui",
+            "files": [
+                "https://github.com/BadCafeCode/execution-inversion-demo-comfyui"
+            ],
+            "install_type": "git-clone",
+            "description": "These are demo nodes for [a/PR2666](https://github.com/comfyanonymous/ComfyUI/pull/2666)"
+        },
+        {
+            "author": "ecjojo",
+            "title": "ecjojo_example_nodes",
+            "reference": "https://github.com/ecjojo/ecjojo-example-nodes",
+            "files": [
+                "https://github.com/ecjojo/ecjojo-example-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Welcome to ecjojo_example_nodes! This example is specifically designed for beginners who want to learn how to write a simple custom node.\nFeel free to modify this example and make it your own. Experiment with different features and functionalities to enhance your understanding of ComfyUI custom nodes. Don't be afraid to explore and customize the code to suit your needs.\nBy diving into this example and making it your own, you'll gain valuable hands-on experience in creating custom nodes in ComfyUI. Enjoy the process of learning and have fun with your custom node development journey!"
+        },
+        {
+            "author": "dynamixar",
+            "title": "Atluris",
+            "reference": "https://github.com/dynamixar/Atluris",
+            "files": [
+                "https://github.com/dynamixar/Atluris"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Random Line"
+        },
+        {
+            "author": "et118",
+            "title": "ComfyUI-ElGogh-Nodes",
+            "reference": "https://github.com/et118/ComfyUI-ElGogh-Nodes",
+            "files": [
+                "https://github.com/et118/ComfyUI-ElGogh-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ElGogh Positive Prompt, ElGogh NEGATIVE Prompt, ElGogh Empty Latent Image, ElGogh Checkpoint Loader Simple"
+        },
+        {
+            "author": "LarryJane491",
+            "title": "Custom-Node-Base",
+            "reference": "https://github.com/LarryJane491/Custom-Node-Base",
+            "files": [
+                "https://github.com/LarryJane491/Custom-Node-Base"
+            ],
+            "install_type": "git-clone",
+            "description": "This project is an `empty` custom node that is already in its own folder. It serves as a base to build any custom node. Whenever you want to create a custom node, you can download that, put it in custom_nodes, then you just have to change the names and fill it with code!"
+        },
+        {
+            "author": "foxtrot-roger",
+            "title": "comfyui-custom-nodes",
+            "reference": "https://github.com/foxtrot-roger/comfyui-custom-nodes",
+            "files": [
+                "https://github.com/foxtrot-roger/comfyui-custom-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Tutorial nodes"
+        },
+        {
+            "author": "wailovet",
+            "title": "ComfyUI-WW",
+            "reference": "https://github.com/wailovet/ComfyUI-WW",
+            "files": [
+                "https://github.com/wailovet/ComfyUI-WW"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:WW_ImageResize"
+        },
+        {
+            "author": "bmz55",
+            "title": "bmz nodes",
+            "reference": "https://github.com/bmz55/comfyui-bmz-nodes",
+            "files": [
+                "https://github.com/bmz55/comfyui-bmz-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Load Images From Dir With Name (Inspire - BMZ), Count Images In Dir (BMZ), Get Level Text (BMZ), Get Level Float (BMZ)"
+        },
+        {
+            "author": "azure-dragon-ai",
+            "title": "ComfyUI-HPSv2-Nodes",
+            "reference": "https://github.com/azure-dragon-ai/ComfyUI-HPSv2-Nodes",
+            "files": [
+                "https://github.com/azure-dragon-ai/ComfyUI-HPSv2-Nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Loader, Image Processor, Text Processor, ImageScore"
+        },
+        {
+            "author": "kappa54m",
+            "title": "ComfyUI-HPSv2-Nodes",
+            "reference": "https://github.com/kappa54m/ComfyUI_Usability",
+            "files": [
+                "https://github.com/kappa54m/ComfyUI_Usability"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Load Image Dedup"
+        },
+        {
+            "author": "IvanRybakov",
+            "title": "comfyui-node-int-to-string-convertor",
+            "reference": "https://github.com/IvanRybakov/comfyui-node-int-to-string-convertor",
+            "files": [
+                "https://github.com/IvanRybakov/comfyui-node-int-to-string-convertor"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Int To String Convertor"
+        },
+        {
+            "author": "yowipr",
+            "title": "ComfyUI-Manual",
+            "reference": "https://github.com/yowipr/ComfyUI-Manual",
+            "files": [
+                "https://github.com/yowipr/ComfyUI-Manual"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:M_Layer, M_Output"
+        },
+        {
+            "author": "andrewharp",
+            "title": "ComfyUI Function Annotator",
+            "reference": "https://github.com/andrewharp/ComfyUI-Annotations",
+            "files": [
+                "https://github.com/andrewharp/ComfyUI-Annotations"
+            ],
+            "install_type": "git-clone",
+            "description": "This module provides an annotation @ComfyFunc to streamline adding custom node types in ComfyUI. It processes your function's signature to create a wrapped function and custom node definition required for ComfyUI, eliminating all the boilerplate code. In most cases you can just add a @ComfyFunc(\"category\") annotation to your existing function."
+        },
+        {
+            "author": "MokkaBoss1",
+            "title": "Woman_in_a_dress",
+            "reference": "https://github.com/MokkaBoss1/Woman_in_a_dress",
+            "files": [
+                "https://github.com/MokkaBoss1/Woman_in_a_dress/raw/main/Woman_In_A_Dress.py"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Woman_in_a_dress"
+        },
+        {
+            "author": "shinich39",
+            "title": "comfyui-concat-text-39",
+            "reference": "https://github.com/shinich39/comfyui-concat-text-39",
+            "files": [
+                "https://github.com/shinich39/comfyui-concat-text-39"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Concatenate multiple text nodes."
+        },
+        {
+            "author": "nilor-corp",
+            "title": "nilor-nodes",
+            "reference": "https://github.com/nilor-corp/nilor-nodes",
+            "files": [
+                "https://github.com/nilor-corp/nilor-nodes"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Nilor Floats, Nilor Int To List Of Bools, Nilor Bool From List Of Bools, Nilor Int From List Of Ints, Nilor List of Ints, Nilor Count Images In Directory"
+        },
+        {
+            "author": "OuticNZ",
+            "title": "ComfyUI-Simple-Of-Complex",
+            "reference": "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex",
+            "files": [
+                "https://github.com/OuticNZ/ComfyUI-Simple-Of-Complex"
+            ],
+            "install_type": "git-clone",
+            "description": "Keeping it simple for starting. Single branch for now and will add development branch later."
+        },
+        {
+            "author": "jtong",
+            "title": "comfyui-jtong-workflow",
+            "reference": "https://github.com/jtong/comfyui-jtong-workflow",
+            "files": [
+                "https://github.com/jtong/comfyui-jtong-workflow"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:jtong.Highway, Example"
+        },
+        {
+            "author": "thinkthinking",
+            "title": "ComfyUI-Ye",
+            "reference": "https://github.com/thinkthinking/ComfyUI-Ye",
+            "files": [
+                "https://github.com/thinkthinking/ComfyUI-Ye"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:Signature|Ye, CheckpointLoader|Ye, PrintHelloWorld|Ye."
+        },
+        {
+            "author": "BoosterCore",
+            "title": "ComfyUI-BC-Experimental",
+            "reference": "https://github.com/BoosterCore/ComfyUI-BC-Experimental",
+            "files": [
+                "https://github.com/BoosterCore/ComfyUI-BC-Experimental"
+            ],
+            "install_type": "git-clone",
+            "description": "Nodes:ClipTextEncodeBC, SaveAnyText, SimpleText"
+        },
+        {
+            "author": "sonyeon-sj",
+            "title": "ComfyUI-easy_ImageSize_Selecter",
+            "reference": "https://github.com/sonyeon-sj/ComfyUI-easy_ImageSize_Selecter",
+            "files": [
+                "https://github.com/sonyeon-sj/ComfyUI-easy_ImageSize_Selecter"
+            ],
+            "install_type": "git-clone",
+            "description": "Custom node for ComfyUI Select the image size from the preset and select Vertical and Horizontal to output Width and Height."
+        },
+        {
+            "author": "boricuapab",
+            "title": "ComfyUI_BoricuapabWFNodePack",
+            "reference": "https://github.com/boricuapab/ComfyUI_BoricuapabWFNodePack",
+            "files": [
+                "https://github.com/boricuapab/ComfyUI_BoricuapabWFNodePack"
+            ],
+            "install_type": "git-clone",
+            "description": "Learning how to make my own comfy ui custom nodes"
+        },
+        {
+            "author": "mira-6",
+            "title": "mira-wildcard-node",
+            "reference": "https://github.com/mira-6/mira-wildcard-node",
+            "files": [
+                "https://github.com/mira-6/mira-wildcard-node"
+            ],
+            "install_type": "git-clone",
+            "description": "Mira's Simple Wildcard Node"
+        },
+        {
+            "author": "BetaDoggo",
+            "title": "ComfyUI Tetris",
+            "id": "tetris",
+            "reference": "https://github.com/BetaDoggo/ComfyUI-Tetris",
+            "files": [
+                "https://github.com/BetaDoggo/ComfyUI-Tetris"
+            ],
+            "install_type": "git-clone",
+            "description": "The primitive node and dummy input are required because comfy doesn't accept requests with identical graphs. You'll also need a show text node. I like the one from ComfyUI-Custom-Scripts. I got the generic tetris remake from claude so it may or may not be ripped from somewhere else."
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/extension-node-map.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/extension-node-map.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/extension-node-map.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/model-list.json b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/model-list.json
new file mode 100644
index 0000000000000000000000000000000000000000..8e3e1dc4858a08aa46190aa53ba320d565206cf4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/model-list.json
@@ -0,0 +1,3 @@
+{
+  "models": []
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/scan.sh b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/scan.sh
new file mode 100644
index 0000000000000000000000000000000000000000..5d8d8c48b6e3f48dc1491738c1226f574909c05d
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/scan.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+source ../../../../venv/bin/activate
+rm .tmp/*.py > /dev/null
+python ../../scanner.py
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/notebooks/comfyui_colab_with_manager.ipynb b/ComfyUI/custom_nodes/ComfyUI-Manager/notebooks/comfyui_colab_with_manager.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..c51c134c1648bcaf5b9e72e5450dcb5312ed2a6f
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/notebooks/comfyui_colab_with_manager.ipynb
@@ -0,0 +1,372 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "aaaaaaaaaa"
+      },
+      "source": [
+        "Git clone the repo and install the requirements. (ignore the pip errors about protobuf)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "bbbbbbbbbb"
+      },
+      "outputs": [],
+      "source": [
+        "# #@title Environment Setup\n",
+        "\n",
+        "from pathlib import Path\n",
+        "\n",
+        "OPTIONS = {}\n",
+        "\n",
+        "USE_GOOGLE_DRIVE = True  #@param {type:\"boolean\"}\n",
+        "UPDATE_COMFY_UI = True  #@param {type:\"boolean\"}\n",
+        "USE_COMFYUI_MANAGER = True  #@param {type:\"boolean\"}\n",
+        "INSTALL_CUSTOM_NODES_DEPENDENCIES = True  #@param {type:\"boolean\"}\n",
+        "OPTIONS['USE_GOOGLE_DRIVE'] = USE_GOOGLE_DRIVE\n",
+        "OPTIONS['UPDATE_COMFY_UI'] = UPDATE_COMFY_UI\n",
+        "OPTIONS['USE_COMFYUI_MANAGER'] = USE_COMFYUI_MANAGER\n",
+        "OPTIONS['INSTALL_CUSTOM_NODES_DEPENDENCIES'] = INSTALL_CUSTOM_NODES_DEPENDENCIES\n",
+        "\n",
+        "current_dir = !pwd\n",
+        "WORKSPACE = f\"{current_dir[0]}/ComfyUI\"\n",
+        "\n",
+        "if OPTIONS['USE_GOOGLE_DRIVE']:\n",
+        "    !echo \"Mounting Google Drive...\"\n",
+        "    %cd /\n",
+        "\n",
+        "    from google.colab import drive\n",
+        "    drive.mount('/content/drive')\n",
+        "\n",
+        "    WORKSPACE = \"/content/drive/MyDrive/ComfyUI\"\n",
+        "    %cd /content/drive/MyDrive\n",
+        "\n",
+        "![ ! -d $WORKSPACE ] && echo -= Initial setup ComfyUI =- && git clone https://github.com/comfyanonymous/ComfyUI\n",
+        "%cd $WORKSPACE\n",
+        "\n",
+        "if OPTIONS['UPDATE_COMFY_UI']:\n",
+        "  !echo -= Updating ComfyUI =-\n",
+        "\n",
+        "  # Correction of the issue of permissions being deleted on Google Drive.\n",
+        "  ![ -f \".ci/nightly/update_windows/update_comfyui_and_python_dependencies.bat\" ] && chmod 755 .ci/nightly/update_windows/update_comfyui_and_python_dependencies.bat\n",
+        "  ![ -f \".ci/nightly/windows_base_files/run_nvidia_gpu.bat\" ] && chmod 755 .ci/nightly/windows_base_files/run_nvidia_gpu.bat\n",
+        "  ![ -f \".ci/update_windows/update_comfyui_and_python_dependencies.bat\" ] && chmod 755 .ci/update_windows/update_comfyui_and_python_dependencies.bat\n",
+        "  ![ -f \".ci/update_windows_cu118/update_comfyui_and_python_dependencies.bat\" ] && chmod 755 .ci/update_windows_cu118/update_comfyui_and_python_dependencies.bat\n",
+        "  ![ -f \".ci/update_windows/update.py\" ] && chmod 755 .ci/update_windows/update.py\n",
+        "  ![ -f \".ci/update_windows/update_comfyui.bat\" ] && chmod 755 .ci/update_windows/update_comfyui.bat\n",
+        "  ![ -f \".ci/update_windows/README_VERY_IMPORTANT.txt\" ] && chmod 755 .ci/update_windows/README_VERY_IMPORTANT.txt\n",
+        "  ![ -f \".ci/update_windows/run_cpu.bat\" ] && chmod 755 .ci/update_windows/run_cpu.bat\n",
+        "  ![ -f \".ci/update_windows/run_nvidia_gpu.bat\" ] && chmod 755 .ci/update_windows/run_nvidia_gpu.bat\n",
+        "\n",
+        "  !git pull\n",
+        "\n",
+        "!echo -= Install dependencies =-\n",
+        "!pip3 install accelerate\n",
+        "!pip3 install einops transformers>=4.28.1 safetensors>=0.4.2 aiohttp pyyaml Pillow scipy tqdm psutil tokenizers>=0.13.3\n",
+        "!pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121\n",
+        "!pip3 install torchsde\n",
+        "!pip3 install kornia>=0.7.1 spandrel soundfile sentencepiece\n",
+        "\n",
+        "if OPTIONS['USE_COMFYUI_MANAGER']:\n",
+        "  %cd custom_nodes\n",
+        "\n",
+        "  # Correction of the issue of permissions being deleted on Google Drive.\n",
+        "  ![ -f \"ComfyUI-Manager/check.sh\" ] && chmod 755 ComfyUI-Manager/check.sh\n",
+        "  ![ -f \"ComfyUI-Manager/scan.sh\" ] && chmod 755 ComfyUI-Manager/scan.sh\n",
+        "  ![ -f \"ComfyUI-Manager/node_db/dev/scan.sh\" ] && chmod 755 ComfyUI-Manager/node_db/dev/scan.sh\n",
+        "  ![ -f \"ComfyUI-Manager/scripts/install-comfyui-venv-linux.sh\" ] && chmod 755 ComfyUI-Manager/scripts/install-comfyui-venv-linux.sh\n",
+        "  ![ -f \"ComfyUI-Manager/scripts/install-comfyui-venv-win.bat\" ] && chmod 755 ComfyUI-Manager/scripts/install-comfyui-venv-win.bat\n",
+        "\n",
+        "  ![ ! -d ComfyUI-Manager ] && echo -= Initial setup ComfyUI-Manager =- && git clone https://github.com/ltdrdata/ComfyUI-Manager\n",
+        "  %cd ComfyUI-Manager\n",
+        "  !git pull\n",
+        "\n",
+        "%cd $WORKSPACE\n",
+        "\n",
+        "if OPTIONS['INSTALL_CUSTOM_NODES_DEPENDENCIES']:\n",
+        "  !echo -= Install custom nodes dependencies =-\n",
+        "  !pip install GitPython\n",
+        "  !python custom_nodes/ComfyUI-Manager/cm-cli.py restore-dependencies\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "cccccccccc"
+      },
+      "source": [
+        "Download some models/checkpoints/vae or custom comfyui nodes (uncomment the commands for the ones you want)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "dddddddddd"
+      },
+      "outputs": [],
+      "source": [
+        "# Checkpoints\n",
+        "\n",
+        "### SDXL\n",
+        "### I recommend these workflow examples: https://comfyanonymous.github.io/ComfyUI_examples/sdxl/\n",
+        "\n",
+        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "# SDXL ReVision\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/clip_vision_g/resolve/main/clip_vision_g.safetensors -P ./models/clip_vision/\n",
+        "\n",
+        "# SD1.5\n",
+        "!wget -c https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt -P ./models/checkpoints/\n",
+        "\n",
+        "# SD2\n",
+        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/v2-1_512-ema-pruned.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "# Some SD1.5 anime style\n",
+        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix2/AbyssOrangeMix2_hard.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A1_orangemixs.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A3_orangemixs.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/Linaqruf/anything-v3.0/resolve/main/anything-v3-fp16-pruned.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "# Waifu Diffusion 1.5 (anime style SD2.x 768-v)\n",
+        "#!wget -c https://huggingface.co/waifu-diffusion/wd-1-5-beta3/resolve/main/wd-illusion-fp16.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "\n",
+        "# unCLIP models\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/illuminatiDiffusionV1_v11_unCLIP/resolve/main/illuminatiDiffusionV1_v11-unclip-h-fp16.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/wd-1.5-beta2_unCLIP/resolve/main/wd-1-5-beta2-aesthetic-unclip-h-fp16.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "\n",
+        "# VAE\n",
+        "!wget -c https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors -P ./models/vae/\n",
+        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/VAEs/orangemix.vae.pt -P ./models/vae/\n",
+        "#!wget -c https://huggingface.co/hakurei/waifu-diffusion-v1-4/resolve/main/vae/kl-f8-anime2.ckpt -P ./models/vae/\n",
+        "\n",
+        "\n",
+        "# Loras\n",
+        "#!wget -c https://civitai.com/api/download/models/10350 -O ./models/loras/theovercomer8sContrastFix_sd21768.safetensors #theovercomer8sContrastFix SD2.x 768-v\n",
+        "#!wget -c https://civitai.com/api/download/models/10638 -O ./models/loras/theovercomer8sContrastFix_sd15.safetensors #theovercomer8sContrastFix SD1.x\n",
+        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors -P ./models/loras/ #SDXL offset noise lora\n",
+        "\n",
+        "\n",
+        "# T2I-Adapter\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_depth_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_seg_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_sketch_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_keypose_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_openpose_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_color_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_canny_sd14v1.pth -P ./models/controlnet/\n",
+        "\n",
+        "# T2I Styles Model\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_style_sd14v1.pth -P ./models/style_models/\n",
+        "\n",
+        "# CLIPVision model (needed for styles model)\n",
+        "#!wget -c https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/pytorch_model.bin -O ./models/clip_vision/clip_vit14.bin\n",
+        "\n",
+        "\n",
+        "# ControlNet\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_canny_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_lineart_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_openpose_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_scribble_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_seg_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_softedge_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11u_sd15_tile_fp16.safetensors -P ./models/controlnet/\n",
+        "\n",
+        "# ControlNet SDXL\n",
+        "#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-canny-rank256.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-depth-rank256.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-recolor-rank256.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-sketch-rank256.safetensors -P ./models/controlnet/\n",
+        "\n",
+        "# Controlnet Preprocessor nodes by Fannovel16\n",
+        "#!cd custom_nodes && git clone https://github.com/Fannovel16/comfy_controlnet_preprocessors; cd comfy_controlnet_preprocessors && python install.py\n",
+        "\n",
+        "\n",
+        "# GLIGEN\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/GLIGEN_pruned_safetensors/resolve/main/gligen_sd14_textbox_pruned_fp16.safetensors -P ./models/gligen/\n",
+        "\n",
+        "\n",
+        "# ESRGAN upscale model\n",
+        "#!wget -c https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -P ./models/upscale_models/\n",
+        "#!wget -c https://huggingface.co/sberbank-ai/Real-ESRGAN/resolve/main/RealESRGAN_x2.pth -P ./models/upscale_models/\n",
+        "#!wget -c https://huggingface.co/sberbank-ai/Real-ESRGAN/resolve/main/RealESRGAN_x4.pth -P ./models/upscale_models/\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "kkkkkkkkkkkkkkk"
+      },
+      "source": [
+        "### Run ComfyUI with cloudflared (Recommended Way)\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "jjjjjjjjjjjjjj"
+      },
+      "outputs": [],
+      "source": [
+        "!wget -P ~ https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64.deb\n",
+        "!dpkg -i ~/cloudflared-linux-amd64.deb\n",
+        "\n",
+        "import subprocess\n",
+        "import threading\n",
+        "import time\n",
+        "import socket\n",
+        "import urllib.request\n",
+        "\n",
+        "def iframe_thread(port):\n",
+        "  while True:\n",
+        "      time.sleep(0.5)\n",
+        "      sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
+        "      result = sock.connect_ex(('127.0.0.1', port))\n",
+        "      if result == 0:\n",
+        "        break\n",
+        "      sock.close()\n",
+        "  print(\"\\nComfyUI finished loading, trying to launch cloudflared (if it gets stuck here cloudflared is having issues)\\n\")\n",
+        "\n",
+        "  p = subprocess.Popen([\"cloudflared\", \"tunnel\", \"--url\", \"http://127.0.0.1:{}\".format(port)], stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n",
+        "  for line in p.stderr:\n",
+        "    l = line.decode()\n",
+        "    if \"trycloudflare.com \" in l:\n",
+        "      print(\"This is the URL to access ComfyUI:\", l[l.find(\"http\"):], end='')\n",
+        "    #print(l, end='')\n",
+        "\n",
+        "\n",
+        "threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
+        "\n",
+        "!python main.py --dont-print-server"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "kkkkkkkkkkkkkk"
+      },
+      "source": [
+        "### Run ComfyUI with localtunnel\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "jjjjjjjjjjjjj"
+      },
+      "outputs": [],
+      "source": [
+        "!npm install -g localtunnel\n",
+        "\n",
+        "import subprocess\n",
+        "import threading\n",
+        "import time\n",
+        "import socket\n",
+        "import urllib.request\n",
+        "\n",
+        "def iframe_thread(port):\n",
+        "  while True:\n",
+        "      time.sleep(0.5)\n",
+        "      sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
+        "      result = sock.connect_ex(('127.0.0.1', port))\n",
+        "      if result == 0:\n",
+        "        break\n",
+        "      sock.close()\n",
+        "  print(\"\\nComfyUI finished loading, trying to launch localtunnel (if it gets stuck here localtunnel is having issues)\\n\")\n",
+        "\n",
+        "  print(\"The password/enpoint ip for localtunnel is:\", urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\"))\n",
+        "  p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE)\n",
+        "  for line in p.stdout:\n",
+        "    print(line.decode(), end='')\n",
+        "\n",
+        "\n",
+        "threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
+        "\n",
+        "!python main.py --dont-print-server"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "gggggggggg"
+      },
+      "source": [
+        "### Run ComfyUI with colab iframe (use only in case the previous way with localtunnel doesn't work)\n",
+        "\n",
+        "You should see the ui appear in an iframe. If you get a 403 error, it's your firefox settings or an extension that's messing things up.\n",
+        "\n",
+        "If you want to open it in another window use the link.\n",
+        "\n",
+        "Note that some UI features like live image previews won't work because the colab iframe blocks websockets."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "hhhhhhhhhh"
+      },
+      "outputs": [],
+      "source": [
+        "import threading\n",
+        "import time\n",
+        "import socket\n",
+        "def iframe_thread(port):\n",
+        "  while True:\n",
+        "      time.sleep(0.5)\n",
+        "      sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
+        "      result = sock.connect_ex(('127.0.0.1', port))\n",
+        "      if result == 0:\n",
+        "        break\n",
+        "      sock.close()\n",
+        "  from google.colab import output\n",
+        "  output.serve_kernel_port_as_iframe(port, height=1024)\n",
+        "  print(\"to open it in a window you can open this link here:\")\n",
+        "  output.serve_kernel_port_as_window(port)\n",
+        "\n",
+        "threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
+        "\n",
+        "!python main.py --dont-print-server"
+      ]
+    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "provenance": []
+    },
+    "gpuClass": "standard",
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/pip_overrides.json.template b/ComfyUI/custom_nodes/ComfyUI-Manager/pip_overrides.json.template
new file mode 100644
index 0000000000000000000000000000000000000000..a6b1f2629b6ca852b6ba8de9e6c76328b1ca0b23
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/pip_overrides.json.template
@@ -0,0 +1,21 @@
+{
+    "imageio-ffmpeg": "imageio",
+    "imageio[ffmpeg]": "imageio",
+    "imageio_ffmpeg": "imageio",
+    "diffusers~=0.21.4": "diffusers",
+    "huggingface_hub": "huggingface-hub",
+    "numpy<1.24>=1.18": "numpy",
+    "numpy>=1.18.5, <1.25.0": "numpy",
+    "opencv-contrib-python": "opencv-contrib-python-headless",
+    "opencv-python": "opencv-contrib-python-headless",
+    "opencv-python-headless": "opencv-contrib-python-headless",
+    "opencv-python-headless[ffmpeg]<=4.7.0.72": "opencv-contrib-python-headless",
+    "opencv-python>=4.7.0.72": "opencv-contrib-python-headless",
+    "pandas<=1.5.1": "pandas",
+    "scikit-image==0.20.0": "scikit-image",
+    "scipy>=1.11.4": "scipy",
+    "segment_anything": "segment-anything",
+    "timm==0.6.5": "timm",
+    "timm>=0.4.12": "timm",
+    "transformers==4.26.1": "transformers"
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/pip_overrides.osx.template b/ComfyUI/custom_nodes/ComfyUI-Manager/pip_overrides.osx.template
new file mode 100644
index 0000000000000000000000000000000000000000..a6b1f2629b6ca852b6ba8de9e6c76328b1ca0b23
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/pip_overrides.osx.template
@@ -0,0 +1,21 @@
+{
+    "imageio-ffmpeg": "imageio",
+    "imageio[ffmpeg]": "imageio",
+    "imageio_ffmpeg": "imageio",
+    "diffusers~=0.21.4": "diffusers",
+    "huggingface_hub": "huggingface-hub",
+    "numpy<1.24>=1.18": "numpy",
+    "numpy>=1.18.5, <1.25.0": "numpy",
+    "opencv-contrib-python": "opencv-contrib-python-headless",
+    "opencv-python": "opencv-contrib-python-headless",
+    "opencv-python-headless": "opencv-contrib-python-headless",
+    "opencv-python-headless[ffmpeg]<=4.7.0.72": "opencv-contrib-python-headless",
+    "opencv-python>=4.7.0.72": "opencv-contrib-python-headless",
+    "pandas<=1.5.1": "pandas",
+    "scikit-image==0.20.0": "scikit-image",
+    "scipy>=1.11.4": "scipy",
+    "segment_anything": "segment-anything",
+    "timm==0.6.5": "timm",
+    "timm>=0.4.12": "timm",
+    "transformers==4.26.1": "transformers"
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/prestartup_script.py b/ComfyUI/custom_nodes/ComfyUI-Manager/prestartup_script.py
new file mode 100644
index 0000000000000000000000000000000000000000..2acec60807b0d49a90155dd6a8dd8f90143452ac
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/prestartup_script.py
@@ -0,0 +1,680 @@
+import datetime
+import os
+import subprocess
+import sys
+import atexit
+import threading
+import re
+import locale
+import platform
+import json
+import ast
+import logging
+
+glob_path = os.path.join(os.path.dirname(__file__), "glob")
+sys.path.append(glob_path)
+
+import security_check
+from manager_util import *
+import cm_global
+
+security_check.security_check()
+
+cm_global.pip_blacklist = ['torch', 'torchsde', 'torchvision']
+cm_global.pip_downgrade_blacklist = ['torch', 'torchsde', 'torchvision', 'transformers', 'safetensors', 'kornia']
+
+
+def skip_pip_spam(x):
+    return ('Requirement already satisfied:' in x) or ("DEPRECATION: Loading egg at" in x)
+
+
+message_collapses = [skip_pip_spam]
+import_failed_extensions = set()
+cm_global.variables['cm.on_revision_detected_handler'] = []
+enable_file_logging = True
+
+
+def register_message_collapse(f):
+    global message_collapses
+    message_collapses.append(f)
+
+
+def is_import_failed_extension(name):
+    global import_failed_extensions
+    return name in import_failed_extensions
+
+
+def check_file_logging():
+    global enable_file_logging
+    try:
+        import configparser
+        config_path = os.path.join(os.path.dirname(__file__), "config.ini")
+        config = configparser.ConfigParser()
+        config.read(config_path)
+        default_conf = config['default']
+
+        if 'file_logging' in default_conf and default_conf['file_logging'].lower() == 'false':
+            enable_file_logging = False
+    except Exception:
+        pass
+
+
+check_file_logging()
+
+comfy_path = os.environ.get('COMFYUI_PATH')
+if comfy_path is None:
+    comfy_path = os.path.abspath(os.path.dirname(sys.modules['__main__'].__file__))
+
+sys.__comfyui_manager_register_message_collapse = register_message_collapse
+sys.__comfyui_manager_is_import_failed_extension = is_import_failed_extension
+cm_global.register_api('cm.register_message_collapse', register_message_collapse)
+cm_global.register_api('cm.is_import_failed_extension', is_import_failed_extension)
+
+
+comfyui_manager_path = os.path.dirname(__file__)
+custom_nodes_path = os.path.abspath(os.path.join(comfyui_manager_path, ".."))
+startup_script_path = os.path.join(comfyui_manager_path, "startup-scripts")
+restore_snapshot_path = os.path.join(startup_script_path, "restore-snapshot.json")
+git_script_path = os.path.join(comfyui_manager_path, "git_helper.py")
+pip_overrides_path = os.path.join(comfyui_manager_path, "pip_overrides.json")
+
+
+cm_global.pip_overrides = {}
+if os.path.exists(pip_overrides_path):
+    with open(pip_overrides_path, 'r', encoding="UTF-8", errors="ignore") as json_file:
+        cm_global.pip_overrides = json.load(json_file)
+        cm_global.pip_overrides['numpy'] = 'numpy<2'
+
+
+def remap_pip_package(pkg):
+    if pkg in cm_global.pip_overrides:
+        res = cm_global.pip_overrides[pkg]
+        print(f"[ComfyUI-Manager] '{pkg}' is remapped to '{res}'")
+        return res
+    else:
+        return pkg
+
+
+std_log_lock = threading.Lock()
+
+
+class TerminalHook:
+    def __init__(self):
+        self.hooks = {}
+
+    def add_hook(self, k, v):
+        self.hooks[k] = v
+
+    def remove_hook(self, k):
+        if k in self.hooks:
+            del self.hooks[k]
+
+    def write_stderr(self, msg):
+        for v in self.hooks.values():
+            try:
+                v.write_stderr(msg)
+            except Exception:
+                pass
+
+    def write_stdout(self, msg):
+        for v in self.hooks.values():
+            try:
+                v.write_stdout(msg)
+            except Exception:
+                pass
+
+
+terminal_hook = TerminalHook()
+sys.__comfyui_manager_terminal_hook = terminal_hook
+
+
+def handle_stream(stream, prefix):
+    stream.reconfigure(encoding=locale.getpreferredencoding(), errors='replace')
+    for msg in stream:
+        if prefix == '[!]' and ('it/s]' in msg or 's/it]' in msg) and ('%|' in msg or 'it [' in msg):
+            if msg.startswith('100%'):
+                print('\r' + msg, end="", file=sys.stderr),
+            else:
+                print('\r' + msg[:-1], end="", file=sys.stderr),
+        else:
+            if prefix == '[!]':
+                print(prefix, msg, end="", file=sys.stderr)
+            else:
+                print(prefix, msg, end="")
+
+
+def process_wrap(cmd_str, cwd_path, handler=None, env=None):
+    process = subprocess.Popen(cmd_str, cwd=cwd_path, env=env, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1)
+
+    if handler is None:
+        handler = handle_stream
+
+    stdout_thread = threading.Thread(target=handler, args=(process.stdout, ""))
+    stderr_thread = threading.Thread(target=handler, args=(process.stderr, "[!]"))
+
+    stdout_thread.start()
+    stderr_thread.start()
+
+    stdout_thread.join()
+    stderr_thread.join()
+
+    return process.wait()
+
+
+try:
+    if '--port' in sys.argv:
+        port_index = sys.argv.index('--port')
+        if port_index + 1 < len(sys.argv):
+            port = int(sys.argv[port_index + 1])
+            postfix = f"_{port}"
+        else:
+            postfix = ""
+    else:
+        postfix = ""
+
+    # Logger setup
+    if enable_file_logging:
+        if os.path.exists(f"comfyui{postfix}.log"):
+            if os.path.exists(f"comfyui{postfix}.prev.log"):
+                if os.path.exists(f"comfyui{postfix}.prev2.log"):
+                    os.remove(f"comfyui{postfix}.prev2.log")
+                os.rename(f"comfyui{postfix}.prev.log", f"comfyui{postfix}.prev2.log")
+            os.rename(f"comfyui{postfix}.log", f"comfyui{postfix}.prev.log")
+
+        log_file = open(f"comfyui{postfix}.log", "w", encoding="utf-8", errors="ignore")
+
+    log_lock = threading.Lock()
+
+    original_stdout = sys.stdout
+    original_stderr = sys.stderr
+
+    if original_stdout.encoding.lower() == 'utf-8':
+        write_stdout = original_stdout.write
+        write_stderr = original_stderr.write
+    else:
+        def wrapper_stdout(msg):
+            original_stdout.write(msg.encode('utf-8').decode(original_stdout.encoding, errors="ignore"))
+            
+        def wrapper_stderr(msg):
+            original_stderr.write(msg.encode('utf-8').decode(original_stderr.encoding, errors="ignore"))
+
+        write_stdout = wrapper_stdout
+        write_stderr = wrapper_stderr
+
+    pat_tqdm = r'\d+%.*\[(.*?)\]'
+    pat_import_fail = r'seconds \(IMPORT FAILED\):.*[/\\]custom_nodes[/\\](.*)$'
+
+    is_start_mode = True
+
+
+    class ComfyUIManagerLogger:
+        def __init__(self, is_stdout):
+            self.is_stdout = is_stdout
+            self.encoding = "utf-8"
+            self.last_char = ''
+
+        def fileno(self):
+            try:
+                if self.is_stdout:
+                    return original_stdout.fileno()
+                else:
+                    return original_stderr.fileno()
+            except AttributeError:
+                # Handle error
+                raise ValueError("The object does not have a fileno method")
+
+        def isatty(self):
+            return False
+
+        def write(self, message):
+            global is_start_mode
+
+            if any(f(message) for f in message_collapses):
+                return
+
+            if is_start_mode:
+                match = re.search(pat_import_fail, message)
+                if match:
+                    import_failed_extensions.add(match.group(1))
+
+                if 'Starting server' in message:
+                    is_start_mode = False
+
+            if not self.is_stdout:
+                match = re.search(pat_tqdm, message)
+                if match:
+                    message = re.sub(r'([#|])\d', r'\1▌', message)
+                    message = re.sub('#', '█', message)
+                    if '100%' in message:
+                        self.sync_write(message)
+                    else:
+                        write_stderr(message)
+                        original_stderr.flush()
+                else:
+                    self.sync_write(message)
+            else:
+                self.sync_write(message)
+
+        def sync_write(self, message, file_only=False):
+            with log_lock:
+                timestamp = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')[:-3]
+                if self.last_char != '\n':
+                    log_file.write(message)
+                else:
+                    log_file.write(f"[{timestamp}] {message}")
+                log_file.flush()
+                self.last_char = message if message == '' else message[-1]
+
+            if not file_only:
+                with std_log_lock:
+                    if self.is_stdout:
+                        write_stdout(message)
+                        original_stdout.flush()
+                        terminal_hook.write_stderr(message)
+                    else:
+                        write_stderr(message)
+                        original_stderr.flush()
+                        terminal_hook.write_stdout(message)
+
+        def flush(self):
+            log_file.flush()
+
+            with std_log_lock:
+                if self.is_stdout:
+                    original_stdout.flush()
+                else:
+                    original_stderr.flush()
+
+        def close(self):
+            self.flush()
+
+        def reconfigure(self, *args, **kwargs):
+            pass
+
+        # You can close through sys.stderr.close_log()
+        def close_log(self):
+            sys.stderr = original_stderr
+            sys.stdout = original_stdout
+            log_file.close()
+            
+    def close_log():
+        sys.stderr = original_stderr
+        sys.stdout = original_stdout
+        log_file.close()
+
+
+    if enable_file_logging:
+        sys.stdout = ComfyUIManagerLogger(True)
+        stderr_wrapper = ComfyUIManagerLogger(False)
+        sys.stderr = stderr_wrapper
+
+        atexit.register(close_log)
+    else:
+        sys.stdout.close_log = lambda: None
+        stderr_wrapper = None
+
+
+    class LoggingHandler(logging.Handler):
+        def emit(self, record):
+            global is_start_mode
+
+            message = record.getMessage()
+
+            if is_start_mode:
+                match = re.search(pat_import_fail, message)
+                if match:
+                    import_failed_extensions.add(match.group(1))
+
+                if 'Starting server' in message:
+                    is_start_mode = False
+
+            if stderr_wrapper:
+                stderr_wrapper.sync_write(message+'\n', file_only=True)
+
+
+    logging.getLogger().addHandler(LoggingHandler())
+
+
+except Exception as e:
+    print(f"[ComfyUI-Manager] Logging failed: {e}")
+
+
+try:
+    import git
+except ModuleNotFoundError:
+    my_path = os.path.dirname(__file__)
+    requirements_path = os.path.join(my_path, "requirements.txt")
+
+    print(f"## ComfyUI-Manager: installing dependencies. (GitPython)")
+    try:
+        result = subprocess.check_output([sys.executable, '-s', '-m', 'pip', 'install', '-r', requirements_path])
+    except subprocess.CalledProcessError as e:
+        print(f"## [ERROR] ComfyUI-Manager: Attempting to reinstall dependencies using an alternative method.")
+        try:
+            result = subprocess.check_output([sys.executable, '-s', '-m', 'pip', 'install', '--user', '-r', requirements_path])
+        except subprocess.CalledProcessError as e:
+            print(f"## [ERROR] ComfyUI-Manager: Failed to install the GitPython package in the correct Python environment. Please install it manually in the appropriate environment. (You can seek help at https://app.element.io/#/room/%23comfyui_space%3Amatrix.org)")
+
+try:
+    import git
+    print(f"## ComfyUI-Manager: installing dependencies done.")
+except:
+    # maybe we should sys.exit() here? there is at least two screens worth of error messages still being pumped after our error messages
+    print(f"## [ERROR] ComfyUI-Manager: GitPython package seems to be installed, but failed to load somehow. Make sure you have a working git client installed")
+
+
+print("** ComfyUI startup time:", datetime.datetime.now())
+print("** Platform:", platform.system())
+print("** Python version:", sys.version)
+print("** Python executable:", sys.executable)
+print("** ComfyUI Path:", comfy_path)
+
+if enable_file_logging:
+    print("** Log path:", os.path.abspath('comfyui.log'))
+else:
+    print("** Log path: file logging is disabled")
+
+
+def read_downgrade_blacklist():
+    try:
+        import configparser
+        config_path = os.path.join(os.path.dirname(__file__), "config.ini")
+        config = configparser.ConfigParser()
+        config.read(config_path)
+        default_conf = config['default']
+
+        if 'downgrade_blacklist' in default_conf:
+            items = default_conf['downgrade_blacklist'].split(',')
+            items = [x.strip() for x in items if x != '']
+            cm_global.pip_downgrade_blacklist += items
+            cm_global.pip_downgrade_blacklist = list(set(cm_global.pip_downgrade_blacklist))
+    except:
+        pass
+
+
+read_downgrade_blacklist()
+
+
+def check_bypass_ssl():
+    try:
+        import configparser
+        import ssl
+        config_path = os.path.join(os.path.dirname(__file__), "config.ini")
+        config = configparser.ConfigParser()
+        config.read(config_path)
+        default_conf = config['default']
+
+        if 'bypass_ssl' in default_conf and default_conf['bypass_ssl'].lower() == 'true':
+            print(f"[ComfyUI-Manager] WARN: Unsafe - SSL verification bypass option is Enabled. (see ComfyUI-Manager/config.ini)")
+            ssl._create_default_https_context = ssl._create_unverified_context  # SSL certificate error fix.
+    except Exception:
+        pass
+
+
+check_bypass_ssl()
+
+
+# Perform install
+processed_install = set()
+script_list_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "startup-scripts", "install-scripts.txt")
+pip_map = None
+
+
+def get_installed_packages():
+    global pip_map
+
+    if pip_map is None:
+        try:
+            result = subprocess.check_output([sys.executable, '-m', 'pip', 'list'], universal_newlines=True)
+
+            pip_map = {}
+            for line in result.split('\n'):
+                x = line.strip()
+                if x:
+                    y = line.split()
+                    if y[0] == 'Package' or y[0].startswith('-'):
+                        continue
+
+                    pip_map[y[0]] = y[1]
+        except subprocess.CalledProcessError as e:
+            print(f"[ComfyUI-Manager] Failed to retrieve the information of installed pip packages.")
+            return set()
+
+    return pip_map
+
+
+def is_installed(name):
+    name = name.strip()
+
+    if name.startswith('#'):
+        return True
+
+    pattern = r'([^<>!=]+)([<>!=]=?)([0-9.a-zA-Z]*)'
+    match = re.search(pattern, name)
+
+    if match:
+        name = match.group(1)
+
+    if name in cm_global.pip_blacklist:
+        return True
+
+    if name in cm_global.pip_downgrade_blacklist:
+        pips = get_installed_packages()
+
+        if match is None:
+            if name in pips:
+                return True
+        elif match.group(2) in ['<=', '==', '<']:
+            if name in pips:
+                if StrictVersion(pips[name]) >= StrictVersion(match.group(3)):
+                    print(f"[ComfyUI-Manager] skip black listed pip installation: '{name}'")
+                    return True
+
+    pkg = get_installed_packages().get(name.lower())
+    if pkg is None:
+        return False  # update if not installed
+
+    if match is None:
+        return True   # don't update if version is not specified
+
+    if match.group(2) in ['>', '>=']:
+        if StrictVersion(pkg) < StrictVersion(match.group(3)):
+            return False
+        elif StrictVersion(pkg) > StrictVersion(match.group(3)):
+            print(f"[SKIP] Downgrading pip package isn't allowed: {name.lower()} (cur={pkg})")
+
+    return True       # prevent downgrade
+
+
+if os.path.exists(restore_snapshot_path):
+    try:
+        cloned_repos = []
+
+        def msg_capture(stream, prefix):
+            stream.reconfigure(encoding=locale.getpreferredencoding(), errors='replace')
+            for msg in stream:
+                if msg.startswith("CLONE: "):
+                    cloned_repos.append(msg[7:])
+                    if prefix == '[!]':
+                        print(prefix, msg, end="", file=sys.stderr)
+                    else:
+                        print(prefix, msg, end="")
+
+                elif prefix == '[!]' and ('it/s]' in msg or 's/it]' in msg) and ('%|' in msg or 'it [' in msg):
+                    if msg.startswith('100%'):
+                        print('\r' + msg, end="", file=sys.stderr),
+                    else:
+                        print('\r'+msg[:-1], end="", file=sys.stderr),
+                else:
+                    if prefix == '[!]':
+                        print(prefix, msg, end="", file=sys.stderr)
+                    else:
+                        print(prefix, msg, end="")
+
+        print(f"[ComfyUI-Manager] Restore snapshot.")
+        cmd_str = [sys.executable, git_script_path, '--apply-snapshot', restore_snapshot_path]
+
+        new_env = os.environ.copy()
+        new_env["COMFYUI_PATH"] = comfy_path
+        exit_code = process_wrap(cmd_str, custom_nodes_path, handler=msg_capture, env=new_env)
+
+        repository_name = ''
+        for url in cloned_repos:
+            try:
+                repository_name = url.split("/")[-1].strip()
+                repo_path = os.path.join(custom_nodes_path, repository_name)
+                repo_path = os.path.abspath(repo_path)
+
+                requirements_path = os.path.join(repo_path, 'requirements.txt')
+                install_script_path = os.path.join(repo_path, 'install.py')
+
+                this_exit_code = 0
+
+                if os.path.exists(requirements_path):
+                    with open(requirements_path, 'r', encoding="UTF-8", errors="ignore") as file:
+                        for line in file:
+                            package_name = remap_pip_package(line.strip())
+                            if package_name and not is_installed(package_name):
+                                if not package_name.startswith('#'):
+                                    if '--index-url' in package_name:
+                                        s = package_name.split('--index-url')
+                                        install_cmd = [sys.executable, "-m", "pip", "install", s[0].strip(), '--index-url', s[1].strip()]
+                                    else:
+                                        install_cmd = [sys.executable, "-m", "pip", "install", package_name]
+
+                                    this_exit_code += process_wrap(install_cmd, repo_path)
+
+                if os.path.exists(install_script_path) and f'{repo_path}/install.py' not in processed_install:
+                    processed_install.add(f'{repo_path}/install.py')
+                    install_cmd = [sys.executable, install_script_path]
+                    print(f">>> {install_cmd} / {repo_path}")
+
+                    new_env = os.environ.copy()
+                    new_env["COMFYUI_PATH"] = comfy_path
+                    this_exit_code += process_wrap(install_cmd, repo_path, env=new_env)
+
+                if this_exit_code != 0:
+                    print(f"[ComfyUI-Manager] Restoring '{repository_name}' is failed.")
+
+            except Exception as e:
+                print(e)
+                print(f"[ComfyUI-Manager] Restoring '{repository_name}' is failed.")
+
+        if exit_code != 0:
+            print(f"[ComfyUI-Manager] Restore snapshot failed.")
+        else:
+            print(f"[ComfyUI-Manager] Restore snapshot done.")
+
+    except Exception as e:
+        print(e)
+        print(f"[ComfyUI-Manager] Restore snapshot failed.")
+
+    os.remove(restore_snapshot_path)
+
+
+def execute_lazy_install_script(repo_path, executable):
+    global processed_install
+
+    install_script_path = os.path.join(repo_path, "install.py")
+    requirements_path = os.path.join(repo_path, "requirements.txt")
+
+    if os.path.exists(requirements_path):
+        print(f"Install: pip packages for '{repo_path}'")
+        with open(requirements_path, "r") as requirements_file:
+            for line in requirements_file:
+                package_name = remap_pip_package(line.strip())
+                if package_name and not is_installed(package_name):
+                    if '--index-url' in package_name:
+                        s = package_name.split('--index-url')
+                        install_cmd = [sys.executable, "-m", "pip", "install", s[0].strip(), '--index-url', s[1].strip()]
+                    else:
+                        install_cmd = [sys.executable, "-m", "pip", "install", package_name]
+
+                    process_wrap(install_cmd, repo_path)
+
+    if os.path.exists(install_script_path) and f'{repo_path}/install.py' not in processed_install:
+        processed_install.add(f'{repo_path}/install.py')
+        print(f"Install: install script for '{repo_path}'")
+        install_cmd = [executable, "install.py"]
+
+        new_env = os.environ.copy()
+        new_env["COMFYUI_PATH"] = comfy_path
+        process_wrap(install_cmd, repo_path, env=new_env)
+
+
+# Check if script_list_path exists
+if os.path.exists(script_list_path):
+    print("\n#######################################################################")
+    print("[ComfyUI-Manager] Starting dependency installation/(de)activation for the extension\n")
+
+    executed = set()
+    # Read each line from the file and convert it to a list using eval
+    with open(script_list_path, 'r', encoding="UTF-8", errors="ignore") as file:
+        for line in file:
+            if line in executed:
+                continue
+
+            executed.add(line)
+
+            try:
+                script = ast.literal_eval(line)
+
+                if script[1].startswith('#') and script[1] != '#FORCE':
+                    if script[1] == "#LAZY-INSTALL-SCRIPT":
+                        execute_lazy_install_script(script[0], script[2])
+
+                elif os.path.exists(script[0]):
+                    if script[1] == "#FORCE":
+                        del script[1]
+                    else:
+                        if 'pip' in script[1:] and 'install' in script[1:] and is_installed(script[-1]):
+                            continue
+
+                    print(f"\n## ComfyUI-Manager: EXECUTE => {script[1:]}")
+                    print(f"\n## Execute install/(de)activation script for '{script[0]}'")
+
+                    new_env = os.environ.copy()
+                    new_env["COMFYUI_PATH"] = comfy_path
+                    exit_code = process_wrap(script[1:], script[0], env=new_env)
+
+                    if exit_code != 0:
+                        print(f"install/(de)activation script failed: {script[0]}")
+                else:
+                    print(f"\n## ComfyUI-Manager: CANCELED => {script[1:]}")
+
+            except Exception as e:
+                print(f"[ERROR] Failed to execute install/(de)activation script: {line} / {e}")
+
+    # Remove the script_list_path file
+    if os.path.exists(script_list_path):
+        os.remove(script_list_path)
+        
+    print("\n[ComfyUI-Manager] Startup script completed.")
+    print("#######################################################################\n")
+
+del processed_install
+del pip_map
+
+
+def check_windows_event_loop_policy():
+    try:
+        import configparser
+        config_path = os.path.join(os.path.dirname(__file__), "config.ini")
+        config = configparser.ConfigParser()
+        config.read(config_path)
+        default_conf = config['default']
+
+        if 'windows_selector_event_loop_policy' in default_conf and default_conf['windows_selector_event_loop_policy'].lower() == 'true':
+            try:
+                import asyncio
+                import asyncio.windows_events
+                asyncio.set_event_loop_policy(asyncio.windows_events.WindowsSelectorEventLoopPolicy())
+                print(f"[ComfyUI-Manager] Windows event loop policy mode enabled")
+            except Exception as e:
+                print(f"[ComfyUI-Manager] WARN: Windows initialization fail: {e}")
+    except Exception:
+        pass
+
+
+if platform.system() == 'Windows':
+    check_windows_event_loop_policy()
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/pyproject.toml b/ComfyUI/custom_nodes/ComfyUI-Manager/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..f893f54bee1eda6550dc513ffb124f89a2a705c1
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/pyproject.toml
@@ -0,0 +1,15 @@
+[project]
+name = "comfyui-manager"
+description = "ComfyUI-Manager provides features to install and manage custom nodes for ComfyUI, as well as various functionalities to assist with ComfyUI."
+version = "2.50.3"
+license = { file = "LICENSE.txt" }
+dependencies = ["GitPython", "PyGithub", "matrix-client==0.4.0", "transformers", "huggingface-hub>0.20", "typer", "rich", "typing-extensions"]
+
+[project.urls]
+Repository = "https://github.com/ltdrdata/ComfyUI-Manager"
+#  Used by Comfy Registry https://comfyregistry.org
+
+[tool.comfy]
+PublisherId = "drltdata"
+DisplayName = "ComfyUI-Manager"
+Icon = ""
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/requirements.txt b/ComfyUI/custom_nodes/ComfyUI-Manager/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..89f93b4170e870bc3d40751f4013e62dc0905eaa
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/requirements.txt
@@ -0,0 +1,8 @@
+GitPython
+PyGithub
+matrix-client==0.4.0
+transformers
+huggingface-hub>0.20
+typer
+rich
+typing-extensions
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/scan.sh b/ComfyUI/custom_nodes/ComfyUI-Manager/scan.sh
new file mode 100644
index 0000000000000000000000000000000000000000..c35e90a508f019e2ba5a6320de04fc897c8bddef
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/scan.sh
@@ -0,0 +1,11 @@
+#!/bin/bash
+rm ~/.tmp/default/*.py > /dev/null 2>&1
+python scanner.py ~/.tmp/default $*
+cp extension-node-map.json node_db/new/.
+
+echo "Integrity check"
+if [ -f "check2.sh" ]; then
+    ./check2.sh
+else
+    ./check.sh
+fi
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/scanner.py b/ComfyUI/custom_nodes/ComfyUI-Manager/scanner.py
new file mode 100644
index 0000000000000000000000000000000000000000..a58caa8572159563aab2c87b9a43a3249ef4696f
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/scanner.py
@@ -0,0 +1,528 @@
+import ast
+import re
+import os
+import json
+from git import Repo
+import concurrent
+import datetime
+import concurrent.futures
+import requests
+
+builtin_nodes = set()
+
+import sys
+
+from urllib.parse import urlparse
+from github import Github
+
+
+def download_url(url, dest_folder, filename=None):
+    # Ensure the destination folder exists
+    if not os.path.exists(dest_folder):
+        os.makedirs(dest_folder)
+
+    # Extract filename from URL if not provided
+    if filename is None:
+        filename = os.path.basename(url)
+
+    # Full path to save the file
+    dest_path = os.path.join(dest_folder, filename)
+
+    # Download the file
+    response = requests.get(url, stream=True)
+    if response.status_code == 200:
+        with open(dest_path, 'wb') as file:
+            for chunk in response.iter_content(chunk_size=1024):
+                if chunk:
+                    file.write(chunk)
+    else:
+        raise Exception(f"Failed to download file from {url}")
+
+
+# prepare temp dir
+if len(sys.argv) > 1:
+    temp_dir = sys.argv[1]
+else:
+    temp_dir = os.path.join(os.getcwd(), ".tmp")
+
+if not os.path.exists(temp_dir):
+    os.makedirs(temp_dir)
+
+
+skip_update = '--skip-update' in sys.argv or '--skip-all' in sys.argv
+skip_stat_update = '--skip-stat-update' in sys.argv or '--skip-all' in sys.argv
+
+if not skip_stat_update:
+    g = Github(os.environ.get('GITHUB_TOKEN'))
+else:
+    g = None
+
+
+print(f"TEMP DIR: {temp_dir}")
+
+
+parse_cnt = 0
+
+
+def extract_nodes(code_text):
+    global parse_cnt
+
+    try:
+        if parse_cnt % 100 == 0:
+            print(f".", end="", flush=True)
+        parse_cnt += 1
+
+        code_text = re.sub(r'\\[^"\']', '', code_text)
+        parsed_code = ast.parse(code_text)
+
+        assignments = (node for node in parsed_code.body if isinstance(node, ast.Assign))
+        
+        for assignment in assignments:
+            if isinstance(assignment.targets[0], ast.Name) and assignment.targets[0].id in ['NODE_CONFIG', 'NODE_CLASS_MAPPINGS']:
+                node_class_mappings = assignment.value
+                break
+        else:
+            node_class_mappings = None
+
+        if node_class_mappings:
+            s = set()
+
+            for key in node_class_mappings.keys:
+                    if key is not None and isinstance(key.value, str):
+                        s.add(key.value.strip())
+                    
+            return s
+        else:
+            return set()
+    except:
+        return set()
+
+
+# scan
+def scan_in_file(filename, is_builtin=False):
+    global builtin_nodes
+
+    try:
+        with open(filename, encoding='utf-8') as file:
+            code = file.read()
+    except UnicodeDecodeError:
+        with open(filename, encoding='cp949') as file:
+            code = file.read()
+
+    pattern = r"_CLASS_MAPPINGS\s*=\s*{([^}]*)}"
+    regex = re.compile(pattern, re.MULTILINE | re.DOTALL)
+
+    nodes = set()
+    class_dict = {}
+
+    nodes |= extract_nodes(code)
+    code = re.sub(r'^#.*?$', '', code, flags=re.MULTILINE)
+
+    def extract_keys(pattern, code):
+        keys = re.findall(pattern, code)
+        return {key.strip() for key in keys}
+
+    def update_nodes(nodes, new_keys):
+        nodes |= new_keys
+
+    patterns = [
+        r'^[^=]*_CLASS_MAPPINGS\["(.*?)"\]',
+        r'^[^=]*_CLASS_MAPPINGS\[\'(.*?)\'\]',
+        r'@register_node\("(.+)",\s*\".+"\)',
+        r'"(\w+)"\s*:\s*{"class":\s*\w+\s*'
+    ]
+
+    with concurrent.futures.ThreadPoolExecutor() as executor:
+        futures = {executor.submit(extract_keys, pattern, code): pattern for pattern in patterns}
+        for future in concurrent.futures.as_completed(futures):
+            update_nodes(nodes, future.result())
+
+    matches = regex.findall(code)
+    for match in matches:
+        dict_text = match
+
+        key_value_pairs = re.findall(r"\"([^\"]*)\"\s*:\s*([^,\n]*)", dict_text)
+        for key, value in key_value_pairs:
+            class_dict[key.strip()] = value.strip()
+
+        key_value_pairs = re.findall(r"'([^']*)'\s*:\s*([^,\n]*)", dict_text)
+        for key, value in key_value_pairs:
+            class_dict[key.strip()] = value.strip()
+
+        for key, value in class_dict.items():
+            nodes.add(key.strip())
+
+        update_pattern = r"_CLASS_MAPPINGS.update\s*\({([^}]*)}\)"
+        update_match = re.search(update_pattern, code)
+        if update_match:
+            update_dict_text = update_match.group(1)
+            update_key_value_pairs = re.findall(r"\"([^\"]*)\"\s*:\s*([^,\n]*)", update_dict_text)
+            for key, value in update_key_value_pairs:
+                class_dict[key.strip()] = value.strip()
+                nodes.add(key.strip())
+
+    metadata = {}
+    lines = code.strip().split('\n')
+    for line in lines:
+        if line.startswith('@'):
+            if line.startswith("@author:") or line.startswith("@title:") or line.startswith("@nickname:") or line.startswith("@description:"):
+                key, value = line[1:].strip().split(':', 1)
+                metadata[key.strip()] = value.strip()
+
+    if is_builtin:
+        builtin_nodes += set(nodes)
+    else:
+        for x in builtin_nodes:
+            if x in nodes:
+                nodes.remove(x)
+
+    return nodes, metadata
+
+
+def get_py_file_paths(dirname):
+    file_paths = []
+    
+    for root, dirs, files in os.walk(dirname):
+        if ".git" in root or "__pycache__" in root:
+            continue
+
+        for file in files:
+            if file.endswith(".py"):
+                file_path = os.path.join(root, file)
+                file_paths.append(file_path)
+    
+    return file_paths
+
+
+def get_nodes(target_dir):
+    py_files = []
+    directories = []
+    
+    for item in os.listdir(target_dir):
+        if ".git" in item or "__pycache__" in item:
+            continue
+
+        path = os.path.abspath(os.path.join(target_dir, item))
+        
+        if os.path.isfile(path) and item.endswith(".py"):
+            py_files.append(path)
+        elif os.path.isdir(path):
+            directories.append(path)
+    
+    return py_files, directories
+
+
+def get_git_urls_from_json(json_file):
+    with open(json_file, encoding='utf-8') as file:
+        data = json.load(file)
+
+        custom_nodes = data.get('custom_nodes', [])
+        git_clone_files = []
+        for node in custom_nodes:
+            if node.get('install_type') == 'git-clone':
+                files = node.get('files', [])
+                if files:
+                    git_clone_files.append((files[0], node.get('title'), node.get('preemptions'), node.get('nodename_pattern')))
+
+    git_clone_files.append(("https://github.com/comfyanonymous/ComfyUI", "ComfyUI", None, None))
+
+    return git_clone_files
+
+
+def get_py_urls_from_json(json_file):
+    with open(json_file, encoding='utf-8') as file:
+        data = json.load(file)
+
+        custom_nodes = data.get('custom_nodes', [])
+        py_files = []
+        for node in custom_nodes:
+            if node.get('install_type') == 'copy':
+                files = node.get('files', [])
+                if files:
+                    py_files.append((files[0], node.get('title'), node.get('preemptions'), node.get('nodename_pattern')))
+
+    return py_files
+
+
+def clone_or_pull_git_repository(git_url):
+    repo_name = git_url.split("/")[-1].split(".")[0]
+    repo_dir = os.path.join(temp_dir, repo_name)
+
+    if os.path.exists(repo_dir):
+        try:
+            repo = Repo(repo_dir)
+            origin = repo.remote(name="origin")
+            origin.pull()
+            repo.git.submodule('update', '--init', '--recursive')
+            print(f"Pulling {repo_name}...")
+        except Exception as e:
+            print(f"Pulling {repo_name} failed: {e}")
+    else:
+        try:
+            Repo.clone_from(git_url, repo_dir, recursive=True)
+            print(f"Cloning {repo_name}...")
+        except Exception as e:
+            print(f"Cloning {repo_name} failed: {e}")
+
+
+def update_custom_nodes():
+    if not os.path.exists(temp_dir):
+        os.makedirs(temp_dir)
+
+    node_info = {}
+
+    git_url_titles_preemptions = get_git_urls_from_json('custom-node-list.json')
+
+    def process_git_url_title(url, title, preemptions, node_pattern):
+        name = os.path.basename(url)
+        if name.endswith(".git"):
+            name = name[:-4]
+        
+        node_info[name] = (url, title, preemptions, node_pattern)
+        if not skip_update:
+            clone_or_pull_git_repository(url)
+
+    def process_git_stats(git_url_titles_preemptions):
+        GITHUB_STATS_CACHE_FILENAME = 'github-stats-cache.json'
+        GITHUB_STATS_FILENAME = 'github-stats.json'
+
+        github_stats = {}
+        try:
+            with open(GITHUB_STATS_CACHE_FILENAME, 'r', encoding='utf-8') as file:
+                github_stats = json.load(file)
+        except FileNotFoundError:
+            pass
+
+        def is_rate_limit_exceeded():
+            return g.rate_limiting[0] == 0
+
+        if is_rate_limit_exceeded():
+            print(f"GitHub API Rate Limit Exceeded: remained - {(g.rate_limiting_resettime - datetime.datetime.now().timestamp())/60:.2f} min")
+        else:
+            def renew_stat(url):
+                if is_rate_limit_exceeded():
+                    return
+
+                if 'github.com' not in url:
+                    return None
+
+                print('.', end="")
+                sys.stdout.flush()
+                try:
+                    # Parsing the URL
+                    parsed_url = urlparse(url)
+                    domain = parsed_url.netloc
+                    path = parsed_url.path
+                    path_parts = path.strip("/").split("/")
+                    if len(path_parts) >= 2 and domain == "github.com":
+                        owner_repo = "/".join(path_parts[-2:])
+                        repo = g.get_repo(owner_repo)
+                        owner = repo.owner
+                        now = datetime.datetime.now(datetime.timezone.utc)
+                        author_time_diff = now - owner.created_at
+                        
+                        last_update = repo.pushed_at.strftime("%Y-%m-%d %H:%M:%S") if repo.pushed_at else 'N/A'
+                        item = {
+                            "stars": repo.stargazers_count,
+                            "last_update": last_update,
+                            "cached_time": now.timestamp(),
+                            "author_account_age_days": author_time_diff.days,
+                        }
+                        return url, item
+                    else:
+                        print(f"\nInvalid URL format for GitHub repository: {url}\n")
+                except Exception as e:
+                    print(f"\nERROR on {url}\n{e}")
+
+                return None
+
+            # resolve unresolved urls
+            with concurrent.futures.ThreadPoolExecutor(11) as executor:
+                futures = []
+                for url, title, preemptions, node_pattern in git_url_titles_preemptions:
+                    if url not in github_stats:
+                        futures.append(executor.submit(renew_stat, url))
+
+                for future in concurrent.futures.as_completed(futures):
+                    url_item = future.result()
+                    if url_item is not None:
+                        url, item = url_item
+                        github_stats[url] = item
+
+            # renew outdated cache
+            outdated_urls = []
+            for k, v in github_stats.items():
+                elapsed = (datetime.datetime.now().timestamp() - v['cached_time'])
+                if elapsed > 60*60*12:  # 12 hours
+                    outdated_urls.append(k)
+
+            with concurrent.futures.ThreadPoolExecutor(11) as executor:
+                for url in outdated_urls:
+                    futures.append(executor.submit(renew_stat, url))
+
+                for future in concurrent.futures.as_completed(futures):
+                    url_item = future.result()
+                    if url_item is not None:
+                        url, item = url_item
+                        github_stats[url] = item
+                        
+            with open('github-stats-cache.json', 'w', encoding='utf-8') as file:
+                json.dump(github_stats, file, ensure_ascii=False, indent=4)
+
+        with open(GITHUB_STATS_FILENAME, 'w', encoding='utf-8') as file:
+            for v in github_stats.values():
+                if "cached_time" in v:
+                    del v["cached_time"]
+
+            github_stats = dict(sorted(github_stats.items()))
+
+            json.dump(github_stats, file, ensure_ascii=False, indent=4)
+
+        print(f"Successfully written to {GITHUB_STATS_FILENAME}.")
+
+    if not skip_stat_update:
+        process_git_stats(git_url_titles_preemptions)
+
+    with concurrent.futures.ThreadPoolExecutor(11) as executor:
+        for url, title, preemptions, node_pattern in git_url_titles_preemptions:
+            executor.submit(process_git_url_title, url, title, preemptions, node_pattern)
+
+    py_url_titles_and_pattern = get_py_urls_from_json('custom-node-list.json')
+
+    def download_and_store_info(url_title_preemptions_and_pattern):
+        url, title, preemptions, node_pattern = url_title_preemptions_and_pattern
+        name = os.path.basename(url)
+        if name.endswith(".py"):
+            node_info[name] = (url, title, preemptions, node_pattern)
+
+        try:
+            download_url(url, temp_dir)
+        except:
+            print(f"[ERROR] Cannot download '{url}'")
+
+    with concurrent.futures.ThreadPoolExecutor(10) as executor:
+        executor.map(download_and_store_info, py_url_titles_and_pattern)
+
+    return node_info
+
+
+def gen_json(node_info):
+    # scan from .py file
+    node_files, node_dirs = get_nodes(temp_dir)
+
+    comfyui_path = os.path.abspath(os.path.join(temp_dir, "ComfyUI"))
+    node_dirs.remove(comfyui_path)
+    node_dirs = [comfyui_path] + node_dirs
+
+    data = {}
+    for dirname in node_dirs:
+        py_files = get_py_file_paths(dirname)
+        metadata = {}
+        
+        nodes = set()
+        for py in py_files:
+            nodes_in_file, metadata_in_file = scan_in_file(py, dirname == "ComfyUI")
+            nodes.update(nodes_in_file)
+            metadata.update(metadata_in_file)
+        
+        dirname = os.path.basename(dirname)
+
+        if 'Jovimetrix' in dirname:
+            pass
+
+        if len(nodes) > 0 or (dirname in node_info and node_info[dirname][3] is not None):
+            nodes = list(nodes)
+            nodes.sort()
+
+            if dirname in node_info:
+                git_url, title, preemptions, node_pattern = node_info[dirname]
+
+                metadata['title_aux'] = title
+
+                if preemptions is not None:
+                    metadata['preemptions'] = preemptions
+
+                if node_pattern is not None:
+                    metadata['nodename_pattern'] = node_pattern
+
+                data[git_url] = (nodes, metadata)
+            else:
+                print(f"WARN: {dirname} is removed from custom-node-list.json")
+
+    for file in node_files:
+        nodes, metadata = scan_in_file(file)
+
+        if len(nodes) > 0 or (dirname in node_info and node_info[dirname][3] is not None):
+            nodes = list(nodes)
+            nodes.sort()
+
+            file = os.path.basename(file)
+
+            if file in node_info:
+                url, title, preemptions, node_pattern = node_info[file]
+                metadata['title_aux'] = title
+
+                if preemptions is not None:
+                    metadata['preemptions'] = preemptions
+                
+                if node_pattern is not None:
+                    metadata['nodename_pattern'] = node_pattern
+
+                data[url] = (nodes, metadata)
+            else:
+                print(f"Missing info: {file}")
+
+    # scan from node_list.json file
+    extensions = [name for name in os.listdir(temp_dir) if os.path.isdir(os.path.join(temp_dir, name))]
+
+    for extension in extensions:
+        node_list_json_path = os.path.join(temp_dir, extension, 'node_list.json')
+        if os.path.exists(node_list_json_path):
+            git_url, title, preemptions, node_pattern = node_info[extension]
+
+            with open(node_list_json_path, 'r', encoding='utf-8') as f:
+                try:
+                    node_list_json = json.load(f)
+                except Exception as e:
+                    print(f"\nERROR: Invalid json format '{node_list_json_path}'")
+                    print("------------------------------------------------------")
+                    print(e)
+                    print("------------------------------------------------------")
+                    node_list_json = {}
+
+            metadata_in_url = {}
+            if git_url not in data:
+                nodes = set()
+            else:
+                nodes_in_url, metadata_in_url = data[git_url]
+                nodes = set(nodes_in_url)
+
+            for x, desc in node_list_json.items():
+                nodes.add(x.strip())
+
+            metadata_in_url['title_aux'] = title
+
+            if preemptions is not None:
+                metadata['preemptions'] = preemptions
+
+            if node_pattern is not None:
+                metadata_in_url['nodename_pattern'] = node_pattern
+                
+            nodes = list(nodes)
+            nodes.sort()
+            data[git_url] = (nodes, metadata_in_url)
+
+    json_path = f"extension-node-map.json"
+    with open(json_path, "w", encoding='utf-8') as file:
+        json.dump(data, file, indent=4, sort_keys=True)
+
+
+print("### ComfyUI Manager Node Scanner ###")
+
+print("\n# Updating extensions\n")
+updated_node_info = update_custom_nodes()
+
+print("\n# 'extension-node-map.json' file is generated.\n")
+gen_json(updated_node_info)
+
+print("\nDONE.\n")
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/colab-dependencies.py b/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/colab-dependencies.py
new file mode 100644
index 0000000000000000000000000000000000000000..d5a70ed6dd92ba90e8084e07fbb9097fe3096ea5
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/colab-dependencies.py
@@ -0,0 +1,39 @@
+import os
+import subprocess
+
+
+def get_enabled_subdirectories_with_files(base_directory):
+    subdirs_with_files = []
+    for subdir in os.listdir(base_directory):
+        try:
+            full_path = os.path.join(base_directory, subdir)
+            if os.path.isdir(full_path) and not subdir.endswith(".disabled") and not subdir.startswith('.') and subdir != '__pycache__':
+                print(f"## Install dependencies for '{subdir}'")
+                requirements_file = os.path.join(full_path, "requirements.txt")
+                install_script = os.path.join(full_path, "install.py")
+
+                if os.path.exists(requirements_file) or os.path.exists(install_script):
+                    subdirs_with_files.append((full_path, requirements_file, install_script))
+        except Exception as e:
+            print(f"EXCEPTION During Dependencies INSTALL on '{subdir}':\n{e}")
+
+    return subdirs_with_files
+
+
+def install_requirements(requirements_file_path):
+    if os.path.exists(requirements_file_path):
+        subprocess.run(["pip", "install", "-r", requirements_file_path])
+
+
+def run_install_script(install_script_path):
+    if os.path.exists(install_script_path):
+        subprocess.run(["python", install_script_path])
+
+
+custom_nodes_directory = "custom_nodes"
+subdirs_with_files = get_enabled_subdirectories_with_files(custom_nodes_directory)
+
+
+for subdir, requirements_file, install_script in subdirs_with_files:
+    install_requirements(requirements_file)
+    run_install_script(install_script)
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-comfyui-venv-linux.sh b/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-comfyui-venv-linux.sh
new file mode 100644
index 0000000000000000000000000000000000000000..fecf3d5bc7a19df5e90a124534ec6a8bb2fd02f3
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-comfyui-venv-linux.sh
@@ -0,0 +1,21 @@
+git clone https://github.com/comfyanonymous/ComfyUI
+cd ComfyUI/custom_nodes
+git clone https://github.com/ltdrdata/ComfyUI-Manager
+cd ..
+python -m venv venv
+source venv/bin/activate
+python -m pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu121
+python -m pip install -r requirements.txt
+python -m pip install -r custom_nodes/ComfyUI-Manager/requirements.txt
+cd ..
+echo "#!/bin/bash" > run_gpu.sh
+echo "cd ComfyUI" >> run_gpu.sh
+echo "source venv/bin/activate" >> run_gpu.sh
+echo "python main.py --preview-method auto" >> run_gpu.sh
+chmod +x run_gpu.sh
+
+echo "#!/bin/bash" > run_cpu.sh
+echo "cd ComfyUI" >> run_cpu.sh
+echo "source venv/bin/activate" >> run_cpu.sh
+echo "python main.py --preview-method auto --cpu" >> run_cpu.sh
+chmod +x run_cpu.sh
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-comfyui-venv-win.bat b/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-comfyui-venv-win.bat
new file mode 100644
index 0000000000000000000000000000000000000000..2789ef6dbd1aade7fc521da60e397956260c8363
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-comfyui-venv-win.bat
@@ -0,0 +1,17 @@
+git clone https://github.com/comfyanonymous/ComfyUI
+cd ComfyUI/custom_nodes
+git clone https://github.com/ltdrdata/ComfyUI-Manager
+cd ..
+python -m venv venv
+call venv/Scripts/activate
+python -m pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu121
+python -m pip install -r requirements.txt
+python -m pip install -r custom_nodes/ComfyUI-Manager/requirements.txt
+cd ..
+echo "cd ComfyUI" >> run_gpu.bat
+echo "call venv/Scripts/activate" >> run_gpu.bat
+echo "python main.py" >> run_gpu.bat
+
+echo "cd ComfyUI" >> run_cpu.bat
+echo "call venv/Scripts/activate" >> run_cpu.bat
+echo "python main.py --cpu" >> run_cpu.bat
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-manager-for-portable-version.bat b/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-manager-for-portable-version.bat
new file mode 100644
index 0000000000000000000000000000000000000000..7b067dfd770d197ccd68e760087536552223f260
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-manager-for-portable-version.bat
@@ -0,0 +1,2 @@
+.\python_embeded\python.exe -s -m pip install gitpython
+.\python_embeded\python.exe -c "import git; git.Repo.clone_from('https://github.com/ltdrdata/ComfyUI-Manager', './ComfyUI/custom_nodes/ComfyUI-Manager')"
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/update-fix.py b/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/update-fix.py
new file mode 100644
index 0000000000000000000000000000000000000000..d2ac10074607544d0b9cdaf4372e43c7f62bb8d0
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/update-fix.py
@@ -0,0 +1,12 @@
+import git
+
+commit_hash = "a361cc1"
+
+repo = git.Repo('.')
+
+if repo.is_dirty():
+    repo.git.stash()
+
+repo.git.update_ref("refs/remotes/origin/main", commit_hash)
+repo.remotes.origin.fetch()
+repo.git.pull("origin", "main")
diff --git a/ComfyUI/custom_nodes/ComfyUI-Manager/snapshots/the_snapshot_files_are_located_here b/ComfyUI/custom_nodes/ComfyUI-Manager/snapshots/the_snapshot_files_are_located_here
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/.github/workflows/publish.yml b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/.github/workflows/publish.yml
new file mode 100644
index 0000000000000000000000000000000000000000..122a1aeb5c04122e7f252c6d18bac91bfaf86fb5
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/.github/workflows/publish.yml
@@ -0,0 +1,20 @@
+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+    paths:
+      - "pyproject.toml"
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }} ## Add your own personal access token to your Github Repository secrets and reference it here.
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/.gitignore b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..9b5379e8f93da3909706b0a7d37f5c8ab5e2a2a5
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/.gitignore
@@ -0,0 +1,162 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+# VIM swap files
+*.swp
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/LICENSE b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..f288702d2fa16d3cdf0035b15a9fcbc552cd88e7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/LICENSE
@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
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+
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+                     END OF TERMS AND CONDITIONS
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+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
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+    but WITHOUT ANY WARRANTY; without even the implied warranty of
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+if any, to sign a "copyright disclaimer" for the program, if necessary.
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+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
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+Public License instead of this License.  But first, please read
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diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/README.md b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..3b21911a54cf6f006186fc351edef71a643f0a9a
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/README.md
@@ -0,0 +1,110 @@
+# ComfyUI-VideoHelperSuite
+Nodes related to video workflows
+
+## I/O Nodes
+### Load Video
+Converts a video file into a series of images
+- video: The video file to be loaded
+- force_rate: Discards or duplicates frames as needed to hit a target frame rate. Disabled by setting to 0. This can be used to quickly match a suggested frame rate like the 8 fps of AnimateDiff.
+- force_size: Allows for quick resizing to a number of suggested sizes. Several options allow you to set only width or height and determine the other from aspect ratio.
+- frame_load_cap: The maximum number of frames which will be returned. This could also be thought of as the maximum batch size.
+- skip_first_frames: How many frames to skip from the start of the video after adjusting for a forced frame rate. By incrementing this number by the frame_load_cap, you can easily process a longer input video in parts. 
+- select_every_nth: Allows for skipping a number of frames without considering the base frame rate or risking frame duplication. Often useful when working with animated gifs
+A path variant of the Load Video node exists that allows loading videos from external paths
+![step](https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/assets/4284322/b5fc993c-5c9b-4608-afa4-48ae2e1380ef)
+![resize](https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/assets/4284322/98d2e78e-1c44-443c-a8fe-0dab0b5947f3)
+If [Advanced Previews](#advanced-previews) is enabled in the options menu of the web ui, the preview will reflect the current settings on the node.
+### Load Image Sequence
+Loads all image files from a subfolder. Options are similar to Load Video.
+- image_load_cap: The maximum number of images which will be returned. This could also be thought of as the maximum batch size.
+- skip_first_images: How many images to skip. By incrementing this number by image_load_cap, you can easily divide a long sequence of images into multiple batches.
+- select_every_nth: Allows for skipping a number of images between every returned frame.
+
+A path variant of Load Image sequence also exists.
+### Video Combine
+Combines a series of images into an output video  
+If the optional audio input is provided, it will also be combined into the output video
+- frame_rate: How many of the input frames are displayed per second.  A higher frame rate means that the output video plays faster and has less duration. This should usually be kept to 8 for AnimateDiff, or matched to the force_rate of a Load Video node.
+- loop_count: How many additional times the video should repeat
+- filename_prefix: The base file name used for output.
+  - You can save output to a subfolder: `subfolder/video`
+  - Like the builtin Save Image node, you can add timestamps. `%date:yyyy-MM-ddThh:mm:ss%` might become 2023-10-31T6:45:25
+- format: The file format to use. Advanced information on configuring or adding additional video formats can be found in the [Video Formats](#video-formats) section.
+- pingpong: Causes the input to be played back in the reverse to create a clean loop.
+- save_output: Whether the image should be put into the output directory or the temp directory.
+Returns: a `VHS_FILENAMES` which consists of a boolean indicating if save_output is enabled and a list of the full filepaths of all generated outputs in the order created. Accordingly `output[1][-1]` will be the most complete output.
+ 
+Depending on the format chosen, additional options may become available, including
+- crf: Describes the quality of the output video. A lower number gives a higher quality video and a larger file size, while a higher number gives a lower quality video with a smaller size. Scaling varies by codec, but visually lossless output generally occurs around 20.
+- save_metadata: Includes a copy of the workflow in the ouput video which can be loaded by dragging and dropping the video, just like with images.
+- pix_fmt: Changes how the pixel data is stored. `yuv420p10le` has higher color quality, but won't work on all devices
+### Load Audio
+Provides a way to load standalone audio files.
+- seek_seconds: An optional start time for the audio file in seconds.
+
+## Latent/Image Nodes
+A number of utility nodes exist for managing latents. For each, there is an equivalent node which works on images.
+### Split Batch
+Divides the latents into two sets. The first `split_index` latents go to ouput A and the remainder to output B. If less then `split_index` latents are provided as input, all are passed to output A and output B is empty.
+### Merge Batch
+Combines two groups of latents into a single output. The order of the output is the latents in A followed by the latents in B.  
+If the input groups are not the same size, the node provides options for rescaling the latents before merging.
+### Select Every Nth
+The first of every `select_every_nth` input is passed and the remainder are discarded
+### Get Count
+### Duplicate Batch
+
+## Video Previews
+Load Video (Upload), Load Video (Path), Load Images (Upload), Load Images (Path) and Video Combine provide animated previews.  
+Nodes with previews provide additional functionality when right clicked
+- Open preview
+- Save preview
+- Pause preview: Can improve performance with very large videos
+- Hide preview: Can improve performance, save space
+- Sync preview: Restarts all previews for side-by-side comparisons
+
+### Advanced Previews
+Advanced Previews must be manually enabled by clicking the settings gear next to Queue Prompt and checking the box for VHS Advanced Previews.  
+If enabled, videos which are displayed in the ui will be converted with ffmpeg on request. This has several benefits
+- Previews for Load Video nodes will reflect the settings on the node such as skip_first_frames and frame_load_cap
+  - This makes it easy to select an exact portion of an input video and sync it with outputs
+- It can use substantially less bandwidth if running the server remotely
+- It can greatly improve the browser performance by downsizing videos to the in ui resolution, particularly useful with animated gifs
+- It allows for previews of videos that would not normally be playable in browser.
+- Can be limited to subdirectories of ComyUI if `VHS_STRICT_PATHS` is set as an environment variable.
+
+This fucntionality is disabled since it comes with several downsides
+- There is a delay before videos show in the browser. This delay can become quite large if the input video is long
+- The preview videos are lower quality (The original can always be viewed with Right Click -> Open preview)
+
+## Video Formats
+Those familiar with ffmpeg are able to add json files to the video_formats folders to add new output types to Video Combine. 
+Consider the following example for av1-webm
+```json
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "libsvtav1",
+        "-pix_fmt", "yuv420p10le",
+        "-crf", ["crf","INT", {"default": 23, "min": 0, "max": 100, "step": 1}]
+    ],
+    "audio_pass": ["-c:a", "libopus"],
+     "extension": "webm",
+     "environment": {"SVT_LOG": "1"}
+}
+```
+Most configuration takes place in `main_pass`, which is a list of arguments that are passed to ffmpeg. 
+- `"-n"` designates that the command should fail if a file of the same name already exists. This should never happen, but if some bug were to occur, it would ensure other files aren't overwritten.
+- `"-c:v", "libsvtav1"` designates that the video should be encoded with an av1 codec using the new SVT-AV1 encoder. SVT-AV1 is much faster than libaom-av1, but may not exist in older versions of ffmpeg. Alternatively, av1_nvenc could be used for gpu encoding with newer nvidia cards. 
+- `"-pix_fmt", "yuv420p10le"` designates the standard pixel format with 10-bit color. It's important that some pixel format be specified to ensure a nonconfigurable input pix_fmt isn't used.
+
+`audio pass` contains a list of arguments which are passed to ffmpeg when audio is passed into Video Combine
+
+`extension` designates both the file extension and the container format that is used. If some of the above options are omitted from `main_pass` it can affect what default options are chosen.  
+`environment` can optionally be provided to set environment variables during execution. For av1 it's used to reduce the verbosity of logging so that only major errors are displayed.  
+`input_color_depth` effects the format in which pixels are passed to the ffmpeg subprocess. Current valid options are `8bit` and `16bit`. The later will produce higher quality output, but is experimental.
+
+Fields can be exposed in the webui as a widget using a format similar to what is used in the creation of custom nodes. In the above example, the argument for `-crf` will be exposed as a format widget in the webui. Format widgets are a list of up to 3 terms
+- The name of the widget that will be displayed in the web ui
+- Either a primitive such as "INT" or "BOOLEAN", or a list of string options
+- A dictionary of options
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/__init__.py b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..7b96695bb4ec7cee4969055f666933ee936e1176
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/__init__.py
@@ -0,0 +1,8 @@
+from .videohelpersuite.nodes import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
+import folder_paths
+from .videohelpersuite.server import server
+from .videohelpersuite import documentation
+
+WEB_DIRECTORY = "./web"
+__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]
+documentation.format_descriptions(NODE_CLASS_MAPPINGS)
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/__pycache__/__init__.cpython-310.pyc b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/__pycache__/__init__.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..3cb60bf56ea15d2a6842bc8232b637ec74253b65
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diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/__pycache__/__init__.cpython-312.pyc b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/__pycache__/__init__.cpython-312.pyc
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index 0000000000000000000000000000000000000000..80b3378b1b8077ae27236f5e13f23aeefb786bc1
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diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/pyproject.toml b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..57c4b1e72c5984d6ff80f76fc53fa64b9695c26e
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/pyproject.toml
@@ -0,0 +1,15 @@
+[project]
+name = "comfyui-videohelpersuite"
+description = "Nodes related to video workflows"
+version = "1.3.8"
+license = { file = "LICENSE" }
+dependencies = ["opencv-python", "imageio-ffmpeg"]
+
+[project.urls]
+Repository = "https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite"
+
+#  Used by Comfy Registry https://comfyregistry.org
+[tool.comfy]
+PublisherId = "kosinkadink"
+DisplayName = "ComfyUI-VideoHelperSuite"
+Icon = ""
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/requirements.txt b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4fa34aa21b85c4b974e2a2b6891eae5fd6dd4164
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/requirements.txt
@@ -0,0 +1,2 @@
+opencv-python
+imageio-ffmpeg
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/16bit-png.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/16bit-png.json
new file mode 100644
index 0000000000000000000000000000000000000000..b768bdbcfe8950cb7bde37d02444f0191ad29f51
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/16bit-png.json
@@ -0,0 +1,9 @@
+{
+    "main_pass":
+    [
+        "-n",
+        "-pix_fmt", "rgba64"
+    ],
+    "input_color_depth": "16bit",
+    "extension": "%03d.png"
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/8bit-png.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/8bit-png.json
new file mode 100644
index 0000000000000000000000000000000000000000..88b27a75f9c979f18979ec46da8c8843a82e0759
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/8bit-png.json
@@ -0,0 +1,7 @@
+{
+    "main_pass":
+    [
+        "-n"
+    ],
+    "extension": "%03d.png"
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/ProRes.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/ProRes.json
new file mode 100644
index 0000000000000000000000000000000000000000..d758178fe93a6ea724e229249f6382a4f0bfecad
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/ProRes.json
@@ -0,0 +1,9 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "prores_ks",
+        "-profile:v", ["profile",["1","2","3","4"], {"default": "3"}]
+    ],
+    "audio_pass": ["-c:a", "pcm_s16le"],
+    "extension": "mov"
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/av1-webm.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/av1-webm.json
new file mode 100644
index 0000000000000000000000000000000000000000..ceb53b4dae01df7a016a8859e2ccc53d9d849038
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/av1-webm.json
@@ -0,0 +1,13 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "libsvtav1",
+        "-pix_fmt", ["pix_fmt", ["yuv420p10le", "yuv420p"]],
+        "-crf", ["crf","INT", {"default": 23, "min": 0, "max": 100, "step": 1}]
+    ],
+    "audio_pass": ["-c:a", "libopus"],
+    "input_color_depth": ["input_color_depth", ["8bit", "16bit"]],
+    "save_metadata": ["save_metadata", "BOOLEAN", {"default": true}],
+    "extension": "webm",
+    "environment": {"SVT_LOG": "1"}
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/ffmpeg-gif.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/ffmpeg-gif.json
new file mode 100644
index 0000000000000000000000000000000000000000..3ca0865033c7dabc06176c737652f375e7badb27
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/ffmpeg-gif.json
@@ -0,0 +1,8 @@
+{
+    "main_pass":
+    [
+        "-n",
+        "-filter_complex", ["dither", ["bayer", "heckbert", "floyd_steinberg", "sierra2", "sierra2_4a", "sierra3", "burkes", "atkinson", "none"], {"default": "sierra2_4a"}, "[0:v] split [a][b]; [a] palettegen=reserve_transparent=on:transparency_color=ffffff [p]; [b][p] paletteuse=dither=$val"]
+    ],
+    "extension": "gif"
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/gifski.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/gifski.json
new file mode 100644
index 0000000000000000000000000000000000000000..2f89447568b659678efafb3b2c7919e762600ede
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/gifski.json
@@ -0,0 +1,10 @@
+{
+    "main_pass":
+    [
+        "-pix_fmt", "yuv420p"
+    ],
+    "extension": "gif",
+    "gifski_pass": [
+        "-Q", ["quality","INT", {"default": 90, "min": 1, "max": 100, "step": 1}]
+    ]
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/h264-mp4.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/h264-mp4.json
new file mode 100644
index 0000000000000000000000000000000000000000..c860f921c32231996a6fe7355172e65a214b00ad
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/h264-mp4.json
@@ -0,0 +1,11 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "libx264",
+        "-pix_fmt", ["pix_fmt", ["yuv420p", "yuv420p10le"]],
+        "-crf", ["crf","INT", {"default": 19, "min": 0, "max": 100, "step": 1}]
+    ],
+    "audio_pass": ["-c:a", "aac"],
+    "save_metadata": ["save_metadata", "BOOLEAN", {"default": true}],
+    "extension": "mp4"
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/h265-mp4.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/h265-mp4.json
new file mode 100644
index 0000000000000000000000000000000000000000..7fe0218b23b2a8bd330b4bb6ee2f96c8007a4cd0
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/h265-mp4.json
@@ -0,0 +1,14 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "libx265",
+        "-vtag", "hvc1",
+        "-pix_fmt", ["pix_fmt", ["yuv420p10le", "yuv420p"]],
+        "-crf", ["crf","INT", {"default": 22, "min": 0, "max": 100, "step": 1}],
+        "-preset", "medium",
+        "-x265-params", "log-level=quiet"
+    ],
+    "audio_pass": ["-c:a", "aac"],
+    "save_metadata": ["save_metadata", "BOOLEAN", {"default": true}],
+    "extension": "mp4"
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/nvenc_h264-mp4.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/nvenc_h264-mp4.json
new file mode 100644
index 0000000000000000000000000000000000000000..85c9fb8ec13bd7be95b271a7b9a38f63dcee88b8
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/nvenc_h264-mp4.json
@@ -0,0 +1,12 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "h264_nvenc",
+        "-pix_fmt", ["pix_fmt", ["yuv420p", "yuv420p10le", "rgba"]]
+    ],
+    "audio_pass": ["-c:a", "aac"],
+    "bitrate": ["bitrate","INT", {"default": 10, "min": 1, "max": 999, "step": 1 }],
+    "megabit": ["megabit","BOOLEAN", {"default": true}],
+    "save_metadata": ["save_metadata", "BOOLEAN", {"default": true}],
+    "extension": "mp4"
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/nvenc_hevc-mp4.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/nvenc_hevc-mp4.json
new file mode 100644
index 0000000000000000000000000000000000000000..269d51ad3529a3bb8378d04d8660e52e7268e6d4
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/nvenc_hevc-mp4.json
@@ -0,0 +1,13 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "hevc_nvenc",
+        "-vtag", "hvc1",
+        "-pix_fmt", ["pix_fmt", ["yuv420p", "yuv420p10le", "rgba"]]
+    ],
+    "audio_pass": ["-c:a", "aac"],
+    "bitrate": ["bitrate","INT", {"default": 10, "min": 1, "max": 999, "step": 1 }],
+    "megabit": ["megabit","BOOLEAN", {"default": true}],
+    "save_metadata": ["save_metadata", "BOOLEAN", {"default": true}],
+    "extension": "mp4"
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/webm.json b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/webm.json
new file mode 100644
index 0000000000000000000000000000000000000000..b1ef74ab278815b870157d0dcbc00c5c1b177469
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/video_formats/webm.json
@@ -0,0 +1,12 @@
+{
+    "main_pass":
+    [
+        "-n",
+        "-pix_fmt", ["pix_fmt",["yuv420p","yuva420p"]],
+        "-crf", ["crf","INT", {"default": 20, "min": 0, "max": 100, "step": 1}],
+        "-b:v", "0"
+    ],
+    "audio_pass": ["-c:a", "libvorbis"],
+    "save_metadata": ["save_metadata", "BOOLEAN", {"default": true}],
+    "extension": "webm"
+}
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diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/batched_nodes.py b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/batched_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..624bb84f73cce1d8e51abf4fef0b80367ad4b9a3
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/batched_nodes.py
@@ -0,0 +1,56 @@
+import torch
+from nodes import VAEEncode
+from comfy.utils import ProgressBar
+
+
+class VAEDecodeBatched:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "samples": ("LATENT", ),
+                "vae": ("VAE", ),
+                "per_batch": ("INT", {"default": 16, "min": 1})
+                }
+            }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/batched nodes"
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "decode"
+
+    def decode(self, vae, samples, per_batch):
+        decoded = []
+        pbar = ProgressBar(samples["samples"].shape[0])
+        for start_idx in range(0, samples["samples"].shape[0], per_batch):
+            decoded.append(vae.decode(samples["samples"][start_idx:start_idx+per_batch]))
+            pbar.update(per_batch)
+        return (torch.cat(decoded, dim=0), )
+
+
+class VAEEncodeBatched:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "pixels": ("IMAGE", ), "vae": ("VAE", ),
+                "per_batch": ("INT", {"default": 16, "min": 1})
+                }
+            }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/batched nodes"
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "encode"
+
+    def encode(self, vae, pixels, per_batch):
+        t = []
+        pbar = ProgressBar(pixels.shape[0])
+        for start_idx in range(0, pixels.shape[0], per_batch):
+            try:
+                sub_pixels = vae.vae_encode_crop_pixels(pixels[start_idx:start_idx+per_batch])
+            except:
+                sub_pixels = VAEEncode.vae_encode_crop_pixels(pixels[start_idx:start_idx+per_batch])
+            t.append(vae.encode(sub_pixels[:,:,:,:3]))
+            pbar.update(per_batch)
+        return ({"samples": torch.cat(t, dim=0)}, )
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/documentation.py b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/documentation.py
new file mode 100644
index 0000000000000000000000000000000000000000..213a261d02a2f2767dc622d3ef6ab0d9f0bcc1ed
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/documentation.py
@@ -0,0 +1,532 @@
+from .logger import logger
+
+def image(src):
+    return f'<img src={src} style="width: 0px; min-width: 100%">'
+def video(src):
+    return f'<video src={src} autoplay muted loop controls controlslist="nodownload noremoteplayback noplaybackrate" style="width: 0px; min-width: 100%" class="VHS_loopedvideo">'
+def short_desc(desc):
+    return f'<div id=VHS_shortdesc>{desc}</div>'
+
+def format_each(desc, **kwargs):
+    if isinstance(desc, dict):
+        res = {}
+        for k,v in desc.items():
+            res[format_each(k, **kwargs)] = format_each(v, **kwargs)
+        return res
+    if isinstance(desc, list):
+        res = []
+        for v in desc:
+            res.append(format_each(v, **kwargs))
+        return res
+    return desc.format(**kwargs)
+def format_type(desc, lower, lowers=None, upper=None, uppers=None, cap=None):
+    """Utility function for nodes with image/latent/mask variants"""
+    if lowers is None:
+        lowers = lower + 's'
+    if cap is None:
+        cap = lower.capitalize()
+    if upper is None:
+        upper = lower.upper()
+    if uppers is None:
+        uppers = lowers.upper()
+    return format_each(desc, lower=lower, lowers=lowers, upper=upper, uppers=uppers, cap=cap)
+
+common_descriptions = {
+  'merge_strategy': [
+      'Determines what the output resolution will be if input resolutions don\'t match',
+      {'match A': 'Always use the resolution for A',
+      'match B': 'Always use the resolution for B',
+      'match smaller': 'Pick the smaller resolution by area',
+      'match larger': 'Pick the larger resolution by area',
+      }],
+  'scale_method': [
+    'Determines what method to use if scaling is required',
+ ],
+  'crop_method': 'When sizes don\'t match, should the resized image have it\'s aspect ratio changed, or be cropped to maintain aspect ratio',
+  'VHS_PATH': [
+    'This is a VHS_PATH input. When edited, it provides a list of possible valid files or directories',
+    video('https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/assets/4284322/729b7185-1fca-41d8-bc8d-a770bb2a5ce6'),
+    'The current top-most completion may be selected with Tab',
+    'You can navigate up a directory by pressing Ctrl+B (or Ctrl+W if supported by browser)',
+    'The filter on suggested file types can be disabled by pressing Ctrl+G.',
+    'If converted to an input, this functions as a string',
+      ],
+    "GetCount": ['Get {cap} Count 🎥🅥🅗🅢', short_desc('Return the number of {lowers} in an input as an INT'),
+    {'Inputs': {
+        '{lowers}': 'The input {lower}',
+        },
+     'Outputs': {
+         'count': 'The number of {lowers} in the input',
+        },
+    }],
+    "SelectEveryNth": ['Select Every Nth {cap} 🎥🅥🅗🅢', short_desc('Keep only 1 {lower} for every interval'),
+    {'Inputs': {
+        '{lowers}': 'The input {lower}',
+        },
+     'Outputs': {
+         '{upper}': 'The output {lowers}',
+         'count': 'The number of {lowers} in the input',
+        },
+     'Widgets':{
+         'select_every_nth': 'The interval from which one frame is kept. 1 means no frames are skipped.',
+         'skip_first_{lowers}': 'A number of frames which that is skipped from the start. This applies before select_every_nth. As a result, multiple copies of the node can each have a different skip_first_frames to divide the {lower} into groups'
+        },
+    }],
+}
+
+descriptions = {
+  'VHS_VideoCombine': ['Video Combine 🎥🅥🅗🅢', short_desc('Combine an image sequence into a video'), {
+    'Inputs': {
+        'images': 'The images to be turned into a video',
+        'audio':'(optional) audio to add to the video',
+        'meta_batch': '(optional) Connect to a Meta Batch manager to divide extremely long image sequences into sub batches. See the documentation for Meta Batch Manager',
+        'vae':['(optional) If provided, the node will take latents as input instead of images. This drastically reduces the required RAM (not VRAM) when working with long (100+ frames) sequences',
+               "Unlike on Load Video, this isn't always a strict upgrade over using a standalone VAE Decode.",
+               "If you have multiple Video Combine outputs, then the VAE decode will be performed for each output node increasing execution time",
+               "If you make any change to output settings on the Video Combine (such as changing the output format), the VAE decode will be performed again as the decoded result is (by design) not cached",
+               ]
+        },
+    'Widgets':{
+        'frame_rate': 'The frame rate which will be used for the output video. Consider converting this to an input and connecting this to a Load Video with Video Info(Loaded)->fps. When including audio, failure to properly set this will result in audio desync',
+        'loop_count': 'The number of additional times the video should repeat. Can cause performance issues when used with long (100+ frames) sequences',
+        'filename_prefix': 'A prefix to add to the name of the output filename. This can include subfolders or format strings.',
+        'format': 'The output format to use. Formats starting with, \'image\' are saved with PIL, but formats starting with \'video\' utilize the video_formats system. \'video\' options require ffmpeg and selecting one frequently adds additional options to the node.',
+        'pingpong': 'Play the video normally, then repeat the video in reverse so that it \'pingpongs\' back and forth. This is frequently used to minimize the appearance of skips on very short animations.',
+        'save_output': 'Specifies if output files should be saved to the output folder, or the temporary output folder',
+         'videopreview': 'Displays a preview for the processed result. If advanced previews is enabled, the output is always converted to a format viewable from the browser. If the video has audio, it will also be previewed when moused over. Additional preview options can be accessed with right click.',
+        },
+    'Common Format Widgets': {
+        'crf': 'Determines how much to prioritize quality over filesize. Numbers vary between formats, but on each format that includes it, the default value provides visually loss less output',
+        'pix_fmt': ['The pixel format to use for output. Alternative options will often have higher quality at the cost of increased file size and reduced compatibility with external software.', {
+            'yuv420p': 'The most common and default format',
+            'yuv420p10le': 'Use 10 bit color depth. This can improve color quality when combined with 16bit input color depth',
+            'yuva420p': 'Include transparency in the output video'
+            }],
+        'input_color_depth': 'VHS supports outputting 16bit images. While this produces higher quality output, the difference usually isn\'t visible without postprocessing and it significantly increases file size and processing time.',
+        'save_metadata': 'Determines if metadata for the workflow should be included in the output video file',
+        }
+    }],
+  'VHS_LoadVideo': ['Load Video 🎥🅥🅗🅢', short_desc('Loads a video from the input folder'),
+    {'Inputs': {
+        'meta_batch': '(optional) Connect to a Meta Batch manager to divide extremely long sequences into sub batches. See the documentation for Meta Batch Manager',
+        'vae': ['(optional) If provided the node will output latents instead of images. This drastically reduces the required RAM (not VRAM) when working with long (100+ frames) sequences',
+                'Using this is strongly encouraged unless connecting to a node that requires a blue image connection such as Apply Controllnet',
+                ],
+        },
+     'Outputs': {
+         'IMAGE': 'The loaded images',
+         'frame_count': 'The length of images just returned',
+         'audio': 'The audio from the loaded video',
+         'video_info': 'Exposes additional info about the video such as the source frame rate, or the total length',
+         'LATENT': 'The loaded images pre-converted to latents. Only available when a vae is connected',
+         },
+     'Widgets': {
+         'video': 'The video file to be loaded. Lists all files with a video extension in the ComfyUI/Input folder',
+         'force_rate': 'Drops or duplicates frames so that the produced output has the target frame rate. Many motion models are trained on videos of a specific frame rate and will give better results if input matches that frame rate. If set to 0, all frames are returned. May give unusual results with inputs that have a variable frame rate like animated gifs. Reducing this value can also greatly reduce the execution time and memory requirements.',
+         'force_size': ['Allows for conveniently scaling the input without requiring an additional node. Provides options to maintain aspect ratio or conveniently target common training formats for Animate Diff', {'custom_width': 'Allows for an arbitrary width to be entered, cropping to maintain aspect ratio if both are set',
+               'custom_height': 'Allows for an arbitrary height to be entered, cropping to maintain aspect ratio if both are set'}],
+         'frame_load_cap': 'The maximum number of frames to load. If 0, all frames are loaded.',
+         'skip_first_frames': 'A number of frames which are discarded before producing output.',
+         'select_every_nth': 'Similar to frame rate. Keeps only the first of every n frames and discard the rest. Has better compatibility with variable frame rate inputs such as gifs. When combined with force_rate, select_every_nth_applies after force_rate so the resulting output has a frame rate equivalent to force_rate/select_every_nth. select_every_nth does not apply to skip_first_frames',
+         'choose video to upload': 'An upload button is provided to upload local files to the input folder',
+         'videopreview': 'Displays a preview for the selected video input. If advanced previews is enabled, this preview will reflect the frame_load_cap, force_rate, skip_first_frames, and select_every_nth values chosen. If the video has audio, it will also be previewed when moused over. Additional preview options can be accessed with right click.',
+         }
+        }],
+  'VHS_LoadVideoPath': ['Load Video (Path) 🎥🅥🅗🅢', short_desc('Loads a video from an arbitrary path'),
+    {'Inputs': {
+        'meta_batch': '(optional) Connect to a Meta Batch manager to divide extremely long sequences into sub batches. See the documentation for Meta Batch Manager',
+        'vae': ['(optional) If provided the node will output latents instead of images. This drastically reduces the required RAM (not VRAM) when working with long (100+ frames) sequences',
+                'Using this is strongly encouraged unless connecting to a node that requires a blue image connection such as Apply Controllnet',
+                ],
+        },
+     'Outputs': {
+         'IMAGE': 'The loaded images',
+         'frame_count': 'The length of images just returned',
+         'audio': 'The audio from the loaded video',
+         'video_info': 'Exposes additional info about the video such as the source frame rate, or the total length',
+         'LATENT': 'The loaded images pre-converted to latents. Only available when a vae is connected',
+         },
+     'Widgets': {
+         'video': ['The video file to be loaded.', 'You can also select an image to load it as a single frame'] + common_descriptions['VHS_PATH'],
+         'force_rate': 'Drops or duplicates frames so that the produced output has the target frame rate. Many motion models are trained on videos of a specific frame rate and will give better results if input matches that frame rate. If set to 0, all frames are returned. May give unusual results with inputs that have a variable frame rate like animated gifs. Reducing this value can also greatly reduce the execution time and memory requirements.',
+         'force_size': ['Allows for conveniently scaling the input without requiring an additional node. Provides options to maintain aspect ratio or conveniently target common training formats for Animate Diff', {'custom_width': 'Allows for an arbitrary width to be entered, cropping to maintain aspect ratio if both are set',
+               'custom_height': 'Allows for an arbitrary height to be entered, cropping to maintain aspect ratio if both are set'}],
+         'frame_load_cap': 'The maximum number of frames to load. If 0, all frames are loaded.',
+         'skip_first_frames': 'A number of frames which are discarded before producing output.',
+         'select_every_nth': 'Similar to frame rate. Keeps only the first of every n frames and discard the rest. Has better compatibility with variable frame rate inputs such as gifs. When combined with force_rate, select_every_nth_applies after force_rate so the resulting output has a frame rate equivalent to force_rate/select_every_nth. select_every_nth does not apply to skip_first_frames',
+         'videopreview': 'Displays a preview for the selected video input. Will only be shown if Advanced Previews is enabled. This preview will reflect the frame_load_cap, force_rate, skip_first_frames, and select_every_nth values chosen. If the video has audio, it will also be previewed when moused over. Additional preview options can be accessed with right click.',
+         }
+        }],
+  'VHS_LoadImages': ['Load Images 🎥🅥🅗🅢', short_desc('Loads a sequence of images from a subdirectory of the input folder'),
+    {'Inputs': {
+        'meta_batch': '(optional) Connect to a Meta Batch manager to divide extremely long sequences into sub batches. See the documentation for Meta Batch Manager',
+        },
+     'Outputs': {
+         'IMAGE': 'The loaded images',
+         'MASK': 'The alpha channel of the loaded images.',
+         'frame_count': 'The length of images just returned',
+         },
+     'Widgets': {
+         'directory': 'The directory images will be loaded from. Filtered to process jpg, png, ppm, bmp, tif, and webp files',
+         'image_load_cap': 'The maximum number of images to load. If 0, all images are loaded.',
+         'skip_first_images': 'A number of images which are discarded before producing output.',
+         'select_every_nth': 'Keeps only the first of every n frames and discard the rest.',
+         'choose folder to upload': 'An upload button is provided to upload a local folder containing images to the input folder',
+         'videopreview': 'Displays a preview for the selected video input. Will only be shown if Advanced Previews is enabled. This preview will reflect the image_load_cap, skip_first_images, and select_every_nth values chosen. Additional preview options can be accessed with right click.',
+         }
+        }],
+  'VHS_LoadImagesPath': ['Load Images (Path) 🎥🅥🅗🅢', short_desc('Loads a sequence of images from a subdirectory of the input folder'),
+    {'Inputs': {
+        'meta_batch': '(optional) Connect to a Meta Batch manager to divide extremely long sequences into sub batches. See the documentation for Meta Batch Manager',
+        },
+     'Outputs': {
+         'IMAGE': 'The loaded images',
+         'MASK': 'The alpha channel of the loaded images.',
+         'frame_count': 'The length of images just returned',
+         },
+     'Widgets': {
+         'directory': ['The directory images will be loaded from. Filtered to process jpg, png, ppm, bmp, tif, and webp files'] + common_descriptions['VHS_PATH'],
+         'image_load_cap': 'The maximum number of images to load. If 0, all images are loaded.',
+         'skip_first_images': 'A number of images which are discarded before producing output.',
+         'select_every_nth': 'Keeps only the first of every n frames and discard the rest.',
+         'videopreview': 'Displays a preview for the selected video input. Will only be shown if Advanced Previews is enabled. This preview will reflect the image_load_cap, skip_first_images, and select_every_nth values chosen. Additional preview options can be accessed with right click.',
+         }
+        }],
+  "VHS_LoadAudio": ['Load Audio (Path) 🎥🅥🅗🅢', short_desc('Loads an audio file from an arbitrary path'),
+    {'Outputs': {
+         'audio': 'The loaded audio',
+         },
+     'Widgets': {
+         'audio_file': ['The audio file to be loaded.'] + common_descriptions['VHS_PATH'],
+         'seek_seconds': 'An offset from the start of the sound file that the audio should start from',
+         }
+        }],
+  "VHS_LoadAudioUpload": ['Load Audio (Upload) 🎥🅥🅗🅢', short_desc('Loads an audio file from the input directory'),
+    "Very similar in functionality to the built-in LoadAudio. It was originally added before VHS swapped to use Comfy's internal AUDIO format, but provides the additional options for start time and duration",
+    {'Outputs': {
+         'audio': 'The loaded audio',
+         },
+     'Widgets': {
+         'audio': 'The audio file to be loaded.',
+         'start_time': 'An offset from the start of the sound file that the audio should start from',
+         'duration': 'A maximum limit for the audio. Disabled if 0',
+         'choose audio to upload': 'An upload button is provided to upload an audio file to the input folder',
+         }
+        }],
+  "VHS_AudioToVHSAudio": ['Audio to legacy VHS_AUDIO 🎥🅥🅗🅢', short_desc('utility function for compatibility with external nodes'),
+    "VHS used to use an internal VHS_AUDIO format for routing audio between inputs and outputs. This format was intended to only be used internally and was designed with a focus on performance over ease of use. Since ComfyUI now has an internal AUDIO format, VHS now uses this format. However, some custom node packs were made that are external to both ComfyUI and VHS that use VHS_AUDIO. This node was added so that those external nodes can still function",
+    {'Inputs': {
+        'audio': 'An input in the standardized AUDIO format',
+        },
+     'Outputs': {
+         'vhs_audio': 'An output in the legacy VHS_AUDIO format for use with external nodes',
+         },
+        }],
+  "VHS_VHSAudioToAudio": ['Legacy VHS_AUDIO to Audio 🎥🅥🅗🅢', short_desc('utility function for compatibility with external nodes'),
+    "VHS used to use an internal VHS_AUDIO format for routing audio between inputs and outputs. This format was intended to only be used internally and was designed with a focus on performance over ease of use. Since ComfyUI now has an internal AUDIO format, VHS now uses this format. However, some custom node packs were made that are external to both ComfyUI and VHS that use VHS_AUDIO. This node was added so that those external nodes can still function",
+    {'Inputs': {
+        'vhs_audio': 'An input in the legacy VHS_AUDIO format produced by an external node',
+        },
+     'Outputs': {
+         'vhs_audio': 'An output in the standardized AUDIO format',
+         },
+        }],
+  "VHS_PruneOutputs": ['Prune Outputs 🎥🅥🅗🅢', short_desc('Automates deletion of undesired outputs from a Video Combine node.'),
+    'Video Combine produces a number of file outputs in addition to the final output. Some of these, such as a video file without audio included, are implementation limitations and are not feasible to solve. As an alternative, the Prune Outputs node is added to automate the deletion of these file outputs if they are not desired',
+    {'Inputs': {
+        'filenames': 'A connection from a Video Combine node to indicate which outputs should be pruned',
+        },
+     'Widgets': {
+         'options': ['Which files should be deleted',
+             {'Intermediate': 'Delete any files that were required for intermediate processing but are not the final output, like the no-audio output file when audio is included',
+              'Intermediate and Utility': 'Delete all produced files that aren\'t the final output, including the first frame png',
+         }]}
+     }],
+  "VHS_BatchManager": ['Meta Batch Manager 🎥🅥🅗🅢', short_desc('Split the processing of a very long video into sets of smaller Meta Batches'),
+    "The Meta Batch Manager allows for extremely long input videos to be processed when all other methods for fitting the content in RAM fail. It does not effect VRAM usage.",
+    "It must be connected to at least one Input (a Load Video or Load Images) AND at least one Video Combine",
+    image("https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/assets/4284322/7cb3fb7e-59d8-4cb2-a09f-9c6698de8b1f"),
+    "It functions by holding both the inputs and ouputs open between executions, and automatically requeue's the workflow until one of the inputs is unable to provide additional images.",
+    "Because each sub execution only contains a subset of the total frames, each sub execution creates a hard window which temporal smoothing can not be applied across. This results in jumps in the output.",
+    {'Outputs': {
+         'meta_batch': 'Add all connected nodes to this Meta Batch',
+         },
+     'Widgets': {
+         'frames_per_batch': 'How many frames to process for each sub execution. If loading as image, each frame will use about 50MB of RAM (not VRAM), and this can safely be set in the 100-1000 range, depending on available memory. When loading and combining from latent space (no blue image noodles exist), this value can be much higher, around the 2,000 to 20,000 range',
+         }
+        }],
+  "VHS_VideoInfo": ['Video Info 🎥🅥🅗🅢', short_desc('Splits information on a video into a numerous outputs'),
+    {'Inputs': {
+        'video_info': 'A connection to a Load Video node',
+        },
+     'Outputs': {
+         'source_fps🟨': 'The frame rate of the video',
+         'source_frame_count🟨': 'How many total frames the video contains before accounting for frame rate or select_every_nth',
+         'source_duration🟨': 'The length of images just returned in seconds',
+         'source_width🟨': 'The width',
+         'source_height🟨': 'The height',
+         'loaded_fps🟦': 'The frame rate after accounting for force_rate and select_every_nth. This output is of particular use as it can be connected to the converted frame_rate input of a Video Combine node to ensure audio remains synchronized.',
+         'loaded_frame_count🟦': 'The number of frames returned by the current execution. Identical to the frame_count returned by the node itself',
+         'loaded_duration🟦': 'The duration in seconds of returned images after accounting for frame_load_cap',
+         'loaded_width🟦': 'The width of the video after scaling. These coordinates are in image space even if loading to latent space',
+         'loaded_height🟦': 'The height of the video after scaling. These coordinates are in image space even if loading to latent space',
+         },
+        }],
+  "VHS_VideoInfoSource": ['Video Info Source 🎥🅥🅗🅢', short_desc('Splits information on a video into a numerous outputs describing the file itself without accounting for load options'),
+    {'Inputs': {
+        'video_info': 'A connection to a Load Video node',
+        },
+     'Outputs': {
+         'source_fps🟨': 'The frame rate of the video',
+         'source_frame_count🟨': 'How many total frames the video contains before accounting for frame rate or select_every_nth',
+         'source_duration🟨': 'The length of images just returned in seconds',
+         'source_width🟨': 'The original width',
+         'source_height🟨': 'The original height',
+         }
+     }],
+  "VHS_VideoInfoLoaded": ['Video Info Loaded 🎥🅥🅗🅢', short_desc('Splits information on a video into a numerous outputs describing the file itself after accounting for load options'),
+    {'Inputs': {
+        'video_info': 'A connection to a Load Video node',
+        },
+     'Outputs': {
+         'loaded_fps🟦': 'The frame rate after accounting for force_rate and select_every_nth. This output is of particular use as it can be connected to the converted frame_rate input of a Video Combine node to ensure audio remains synchronized.',
+         'loaded_frame_count🟦': 'The number of frames returned by the current execution. Identical to the frame_count returned by the node itself',
+         'loaded_duration🟦': 'The duration in seconds of returned images after accounting for frame_load_cap',
+         'loaded_width🟦': 'The width of the video after scaling. This is the dimension of the corresponding image even if loading as a latent directly',
+         'loaded_height🟦': 'The height of the video after scaling. This is the dimension of the corresponding image even if loading as a latent directly',
+         }
+     }],
+  "VHS_SelectFilename": ['VAE Select Filename 🎥🅥🅗🅢', short_desc('Select a single filename from the VHS_FILENAMES output by a Video Combine and return it as a string'),
+    'Take care when combining this node with Prune Outputs. The VHS_FILENAMES object is immutable and will always contain the full list of output files, but execution order is undefined behavior (currently, Prune Outputs will generally execute first) and SelectFilename may return a path to a file that no longer exists.',
+    {'Inputs': {
+        'filenames': 'A VHS_FILENAMES from a Video Combine node',
+        },
+     'Outputs': {
+         'filename': 'A string representation of the full output path for the chosen file',
+        },
+     'Widgets': {
+         'index': 'The index of which file should be selected. The default, -1, chooses the most complete output',
+        },
+     }],
+    # Batched Nodes
+  "VHS_VAEEncodeBatched": ['VAE Encode Batched 🎥🅥🅗🅢', short_desc('Encode images as latents with a manually specified batch size.'),
+    "Some people have ran into VRAM issues when encoding or decoding large batches of images. As a workaround, this node lets you manually set a batch size when encoding images.",
+    "Unless these issues have been encountered, it is simpler to use the native VAE Encode or to encode directly from a Load Video",
+    {'Inputs': {
+        'pixels': 'The images to be encoded.',
+        'vae': 'The VAE to use when encoding.',
+        },
+     'Outputs': {
+         'LATENT': 'The encoded latents.',
+        },
+     'Widgets': {
+         'per_batch': 'The maximum number of images to encode in each batch.',
+        },
+     }],
+  "VHS_VAEDecodeBatched": ['VAE Decode Batched 🎥🅥🅗🅢', short_desc('Decode latents to images with a manually specified batch size'),
+    "Some people have ran into VRAM issues when encoding or decoding large batches of images. As a workaround, this node lets you manually set a batch size when decoding latents.",
+    "Unless these issues have been encountered, it is simpler to use the native VAE Decode or to decode from a Video Combine directly",
+    {'Inputs': {
+        'samples': 'The latents to be decoded.',
+        'vae': 'The VAE to use when decoding.',
+        },
+     'Outputs': {
+         'IMAGE': 'The decoded images.',
+        },
+     'Widgets': {
+         'per_batch': 'The maximum number of images to decode in each batch.',
+        },
+     }],
+    # Latent and Image nodes
+  "VHS_SplitLatents": ['Split Latents 🎥🅥🅗🅢', short_desc('Split a set of latents into two groups'),
+    {'Inputs': {
+        'latents': 'The latents to be split.',
+        },
+     'Outputs': {
+         'LATENT_A': 'The first group of latents',
+         'A_count': 'The number of latents in group A. This will be equal to split_index unless the latents input has length less than split_index',
+         'LATENT_B': 'The second group of latents',
+         'B_count': 'The number of latents in group B'
+        },
+     'Widgets': {
+        'split_index': 'The index of the first latent that will be in the second output groups.',
+        },
+
+    }],
+    "VHS_SplitImages": ['Split Images 🎥🅥🅗🅢', short_desc('Split a set of images into two groups'),
+    {'Inputs': {
+        'images': 'The images to be split.',
+        },
+     'Outputs': {
+         'IMAGE_A': 'The first group of images',
+         'A_count': 'The number of images in group A. This will be equal to split_index unless the images input has length less than split_index',
+         'IMAGE_B': 'The second group of images',
+         'B_count': 'The number of images in group B'
+        },
+     'Widgets': {
+        'split_index': 'The index of the first latent that will be in the second output groups.',
+        },
+
+    }],
+    "VHS_SplitMasks": ['Split Masks 🎥🅥🅗🅢', short_desc('Split a set of masks into two groups'),
+    {'Inputs': {
+        'mask': 'The masks to be split.',
+        },
+     'Outputs': {
+         'MASK_A': 'The first group of masks',
+         'A_count': 'The number of masks in group A. This will be equal to split_index unless the mask input has length less than split_index',
+         'MASK_B': 'The second group of masks',
+         'B_count': 'The number of masks in group B'
+        },
+     'Widgets': {
+        'split_index': 'The index of the first latent that will be in the second output groups.',
+        },
+
+    }],
+    "VHS_MergeLatents": ['Merge Latents 🎥🅥🅗🅢', short_desc('Combine two groups of latents into a single group of latents'),
+    {'Inputs': {
+        'latents_A': 'The first group of latents',
+        'latents_B': 'The first group of latents',
+        },
+     'Outputs': {
+         'LATENT': 'The combined group of latents',
+         'count': 'The length of the combined group',
+        },
+     'Widgets': {
+        'merge_strategy': common_descriptions['merge_strategy'],
+        'scale_method': common_descriptions['scale_method'],
+        'crop': common_descriptions['crop_method'],
+        },
+
+    }],
+    "VHS_MergeImages": ['Merge Images 🎥🅥🅗🅢', short_desc('Combine two groups of images into a single group of images'),
+    {'Inputs': {
+        'images_A': 'The first group of images',
+        'images_B': 'The first group of images',
+        },
+     'Outputs': {
+         'IMAGE': 'The combined group of images',
+         'count': 'The length of the combined group',
+        },
+     'Widgets': {
+        'merge_strategy': common_descriptions['merge_strategy'],
+        'scale_method': common_descriptions['scale_method'],
+        'crop': common_descriptions['crop_method'],
+        },
+
+    }],
+    "VHS_MergeMasks": ['Merge Masks 🎥🅥🅗🅢', short_desc('Combine two groups of masks into a single group of masks'),
+    {'Inputs': {
+        'mask_A': 'The first group of masks',
+        'mask_B': 'The first group of masks',
+        },
+     'Outputs': {
+         'MASK': 'The combined group of masks',
+         'count': 'The length of the combined group',
+        },
+     'Widgets': {
+        'merge_strategy': common_descriptions['merge_strategy'],
+        'scale_method': common_descriptions['scale_method'],
+        'crop': common_descriptions['crop_method'],
+        },
+
+    }],
+    "VHS_GetLatentCount": format_type(common_descriptions['GetCount'], 'latent'),
+    "VHS_GetImageCount": format_type(common_descriptions['GetCount'], 'image'),
+    "VHS_GetMaskCount": format_type(common_descriptions['GetCount'], 'mask'),
+    "VHS_DuplicateLatents": ['Repeat Latents 🎥🅥🅗🅢', short_desc('Append copies of a latent to itself so it repeats'),
+    {'Inputs': {
+        'latents': 'The latents to be repeated',
+        },
+     'Outputs': {
+         'LATENT': 'The latent with repeats',
+         'count': 'The number of latents in the output. Equal to the length of the input latent * multiply_by',
+        },
+     'Widgets': {
+        'multiply_by': 'Controls the number of times the latent should repeat. 1, the default, means no change.',
+        },
+    }],
+    "VHS_DuplicateImages": ['Repeat Images 🎥🅥🅗🅢', short_desc('Append copies of a image to itself so it repeats'),
+    {'Inputs': {
+        'IMAGES': 'The image to be repeated',
+        },
+     'Outputs': {
+         'IMAGE': 'The image with repeats',
+         'count': 'The number of image in the output. Equal to the length of the input image * multiply_by',
+        },
+     'Widgets': {
+        'multiply_by': 'Controls the number of times the mask should repeat. 1, the default, means no change.',
+        },
+    }],
+    "VHS_DuplicateMasks": ['Repeat Masks 🎥🅥🅗🅢', short_desc('Append copies of a mask to itself so it repeats'),
+    {'Inputs': {
+        'masks': 'The masks to be repeated',
+        },
+     'Outputs': {
+         'LATENT': 'The mask with repeats',
+         'count': 'The number of mask in the output. Equal to the length of the input mask * multiply_by',
+        },
+     'Widgets': {
+        'multiply_by': 'Controls the number of times the mask should repeat. 1, the default, means no change.',
+        },
+    }],
+    "VHS_SelectEveryNthLatent": format_type(common_descriptions['SelectEveryNth'], 'latent'),
+    "VHS_SelectEveryNthImage": format_type(common_descriptions['SelectEveryNth'], 'image'),
+    #TODO: fix discrepency of input being mask instead of masks?
+    "VHS_SelectEveryNthMask": format_type(common_descriptions['SelectEveryNth'], 'mask', lowers='mask'),
+    #TODO: port documentation for select nodes to new system
+    #"VHS_SelectLatents": None,
+    #"VHS_SelectImages": None,
+    #"VHS_SelectMasks": None,
+  "VHS_Unbatch": ['Unbatch 🎥🅥🅗🅢', short_desc('Experimental node to unbatch a list of items into a single concatenated item'),
+    "Useful for when you want a single video output from a complex workflow",
+    "Has no relation to the Meta Batch system of VHS",
+    {'Inputs': {
+        'batched': 'Any input which may or may not be batched',
+        },
+     'Outputs': {
+         'unbatched': 'A single output element. Torch tensors are concatenated across dim 0, all other types are added which functions as concatenation for strings and arrays, but may give undesired results for other types',
+        },
+    }],
+}
+
+def as_html(entry, depth=0):
+    if isinstance(entry, dict):
+        size = 0.8 if depth < 2 else 1
+        html = ''
+        for k in entry:
+            if k == "collapsed":
+                continue
+            collapse_single = k.endswith("_collapsed")
+            if collapse_single:
+                name = k[:-len("_collapsed")]
+            else:
+                name = k
+            collapse_flag = ' VHS_precollapse' if entry.get("collapsed", False) or collapse_single else ''
+            html += f'<div vhs_title=\"{name}\" style=\"display: flex; font-size: {size}em\" class=\"VHS_collapse{collapse_flag}\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">{name}: {as_html(entry[k], depth=depth+1)}</div></div>'
+        return html
+    if isinstance(entry, list):
+        if depth == 0:
+            depth += 1
+            size = .8
+        else:
+            size = 1
+        html = ''
+        html += entry[0]
+        for i in entry[1:]:
+            html += f'<div style=\"font-size: {size}em\">{as_html(i, depth=depth)}</div>'
+        return html
+    return str(entry)
+
+def format_descriptions(nodes):
+    for k in descriptions:
+        if k.endswith("_collapsed"):
+            k = k[:-len("_collapsed")]
+        nodes[k].DESCRIPTION = as_html(descriptions[k])
+    undocumented_nodes = []
+    for k in nodes:
+        if not hasattr(nodes[k], "DESCRIPTION"):
+            undocumented_nodes.append(k)
+    if len(undocumented_nodes) > 0:
+        logger.warning('Some nodes have not been documented %s', undocumented_nodes)
+
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/image_latent_nodes.py b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/image_latent_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..62b4e3e6452b51b42e3e49852d27a1bb9921edc2
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/image_latent_nodes.py
@@ -0,0 +1,554 @@
+from torch import Tensor
+import torch
+
+import comfy.utils
+
+from .utils import BIGMIN, BIGMAX, select_indexes_from_str, convert_str_to_indexes, select_indexes
+
+
+class MergeStrategies:
+    MATCH_A = "match A"
+    MATCH_B = "match B"
+    MATCH_SMALLER = "match smaller"
+    MATCH_LARGER = "match larger"
+
+    list_all = [MATCH_A, MATCH_B, MATCH_SMALLER, MATCH_LARGER]
+
+
+class ScaleMethods:
+    NEAREST_EXACT = "nearest-exact"
+    BILINEAR = "bilinear"
+    AREA = "area"
+    BICUBIC = "bicubic"
+    BISLERP = "bislerp"
+
+    list_all = [NEAREST_EXACT, BILINEAR, AREA, BICUBIC, BISLERP]
+
+
+class CropMethods:
+    DISABLED = "disabled"
+    CENTER = "center"
+
+    list_all = [DISABLED, CENTER]
+
+
+class SplitLatents:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "latents": ("LATENT",),
+                    "split_index": ("INT", {"default": 0, "step": 1, "min": BIGMIN, "max": BIGMAX}),
+                },
+            }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/latent"
+
+    RETURN_TYPES = ("LATENT", "INT", "LATENT", "INT")
+    RETURN_NAMES = ("LATENT_A", "A_count", "LATENT_B", "B_count")
+    FUNCTION = "split_latents"
+
+    def split_latents(self, latents: dict[str, Tensor], split_index: int):
+        latents_len = len(latents["samples"])
+        group_a = latents.copy()
+        group_b = latents.copy()
+        for key, val in latents.items():
+            if type(val) == Tensor and len(val) == latents_len:
+                group_a[key] = latents[key][:split_index]
+                group_b[key] = latents[key][split_index:]
+        return (group_a, group_a["samples"].size(0), group_b, group_b["samples"].size(0))
+
+
+class SplitImages:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "images": ("IMAGE",),
+                    "split_index": ("INT", {"default": 0, "step": 1, "min": BIGMIN, "max": BIGMAX}),
+                },
+            }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/image"
+
+    RETURN_TYPES = ("IMAGE", "INT", "IMAGE", "INT")
+    RETURN_NAMES = ("IMAGE_A", "A_count", "IMAGE_B", "B_count")
+    FUNCTION = "split_images"
+
+    def split_images(self, images: Tensor, split_index: int):
+        group_a = images[:split_index]
+        group_b = images[split_index:]
+        return (group_a, group_a.size(0), group_b, group_b.size(0))
+
+
+class SplitMasks:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "mask": ("MASK",),
+                    "split_index": ("INT", {"default": 0, "step": 1, "min": BIGMIN, "max": BIGMAX}),
+                },
+            }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/mask"
+
+    RETURN_TYPES = ("MASK", "INT", "MASK", "INT")
+    RETURN_NAMES = ("MASK_A", "A_count", "MASK_B", "B_count")
+    FUNCTION = "split_masks"
+
+    def split_masks(self, mask: Tensor, split_index: int):
+        group_a = mask[:split_index]
+        group_b = mask[split_index:]
+        return (group_a, group_a.size(0), group_b, group_b.size(0))
+
+
+class MergeLatents:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "latents_A": ("LATENT",),
+                "latents_B": ("LATENT",),
+                "merge_strategy": (MergeStrategies.list_all,),
+                "scale_method": (ScaleMethods.list_all,),
+                "crop": (CropMethods.list_all,),
+            }
+        }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/latent"
+
+    RETURN_TYPES = ("LATENT", "INT",)
+    RETURN_NAMES = ("LATENT", "count",)
+    FUNCTION = "merge"
+
+    def merge(self, latents_A: dict, latents_B: dict, merge_strategy: str, scale_method: str, crop: str):
+        latents = []
+        latents_A = latents_A.copy()["samples"]
+        latents_B = latents_B.copy()["samples"]
+
+        # TODO: handle other properties on latents besides just "samples"
+        # if not same dimensions, do scaling
+        if latents_A.shape[3] != latents_B.shape[3] or latents_A.shape[2] != latents_B.shape[2]:
+            A_size = latents_A.shape[3] * latents_A.shape[2]
+            B_size = latents_B.shape[3] * latents_B.shape[2]
+            # determine which to use
+            use_A_as_template = True
+            if merge_strategy == MergeStrategies.MATCH_A:
+                pass
+            elif merge_strategy == MergeStrategies.MATCH_B:
+                use_A_as_template = False
+            elif merge_strategy in (MergeStrategies.MATCH_SMALLER, MergeStrategies.MATCH_LARGER):
+                if A_size <= B_size:
+                    use_A_as_template = True if merge_strategy == MergeStrategies.MATCH_SMALLER else False
+            # apply scaling
+            if use_A_as_template:
+                latents_B = comfy.utils.common_upscale(latents_B, latents_A.shape[3], latents_A.shape[2], scale_method, crop)
+            else:
+                latents_A = comfy.utils.common_upscale(latents_A, latents_B.shape[3], latents_B.shape[2], scale_method, crop)
+
+        latents.append(latents_A)
+        latents.append(latents_B)
+
+        merged = {"samples": torch.cat(latents, dim=0)}
+        return (merged, len(merged["samples"]),)
+
+
+class MergeImages:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "images_A": ("IMAGE",),
+                "images_B": ("IMAGE",),
+                "merge_strategy": (MergeStrategies.list_all,),
+                "scale_method": (ScaleMethods.list_all,),
+                "crop": (CropMethods.list_all,),
+            }
+        }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/image"
+
+    RETURN_TYPES = ("IMAGE", "INT",)
+    RETURN_NAMES = ("IMAGE", "count",)
+    FUNCTION = "merge"
+
+    def merge(self, images_A: Tensor, images_B: Tensor, merge_strategy: str, scale_method: str, crop: str):
+        images = []
+        # if not same dimensions, do scaling
+        if images_A.shape[3] != images_B.shape[3] or images_A.shape[2] != images_B.shape[2]:
+            images_A = images_A.movedim(-1,1)
+            images_B = images_B.movedim(-1,1)
+
+            A_size = images_A.shape[3] * images_A.shape[2]
+            B_size = images_B.shape[3] * images_B.shape[2]
+            # determine which to use
+            use_A_as_template = True
+            if merge_strategy == MergeStrategies.MATCH_A:
+                pass
+            elif merge_strategy == MergeStrategies.MATCH_B:
+                use_A_as_template = False
+            elif merge_strategy in (MergeStrategies.MATCH_SMALLER, MergeStrategies.MATCH_LARGER):
+                if A_size <= B_size:
+                    use_A_as_template = True if merge_strategy == MergeStrategies.MATCH_SMALLER else False
+            # apply scaling
+            if use_A_as_template:
+                images_B = comfy.utils.common_upscale(images_B, images_A.shape[3], images_A.shape[2], scale_method, crop)
+            else:
+                images_A = comfy.utils.common_upscale(images_A, images_B.shape[3], images_B.shape[2], scale_method, crop)
+            images_A = images_A.movedim(1,-1)
+            images_B = images_B.movedim(1,-1)
+
+        images.append(images_A)
+        images.append(images_B)
+        all_images = torch.cat(images, dim=0)
+        return (all_images, all_images.size(0),)
+
+
+class MergeMasks:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask_A": ("MASK",),
+                "mask_B": ("MASK",),
+                "merge_strategy": (MergeStrategies.list_all,),
+                "scale_method": (ScaleMethods.list_all,),
+                "crop": (CropMethods.list_all,),
+            }
+        }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/mask"
+
+    RETURN_TYPES = ("MASK", "INT",)
+    RETURN_NAMES = ("MASK", "count",)
+    FUNCTION = "merge"
+
+    def merge(self, mask_A: Tensor, mask_B: Tensor, merge_strategy: str, scale_method: str, crop: str):
+        masks = []
+        # if not same dimensions, do scaling
+        if mask_A.shape[2] != mask_B.shape[2] or mask_A.shape[1] != mask_B.shape[1]:
+            A_size = mask_A.shape[2] * mask_A.shape[1]
+            B_size = mask_B.shape[2] * mask_B.shape[1]
+            # determine which to use
+            use_A_as_template = True
+            if merge_strategy == MergeStrategies.MATCH_A:
+                pass
+            elif merge_strategy == MergeStrategies.MATCH_B:
+                use_A_as_template = False
+            elif merge_strategy in (MergeStrategies.MATCH_SMALLER, MergeStrategies.MATCH_LARGER):
+                if A_size <= B_size:
+                    use_A_as_template = True if merge_strategy == MergeStrategies.MATCH_SMALLER else False
+            # add dimension where image channels would be expected to work with common_upscale
+            mask_A = torch.unsqueeze(mask_A, 1)
+            mask_B = torch.unsqueeze(mask_B, 1)
+            # apply scaling
+            if use_A_as_template:
+                mask_B = comfy.utils.common_upscale(mask_B, mask_A.shape[3], mask_A.shape[2], scale_method, crop)
+            else:
+                mask_A = comfy.utils.common_upscale(mask_A, mask_B.shape[3], mask_B.shape[2], scale_method, crop)
+            # undo dimension increase
+            mask_A = torch.squeeze(mask_A, 1)
+            mask_B = torch.squeeze(mask_B, 1)
+
+        masks.append(mask_A)
+        masks.append(mask_B)
+        all_masks = torch.cat(masks, dim=0)
+        return (all_masks, all_masks.size(0),)
+
+
+class SelectEveryNthLatent:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "latents": ("LATENT",),
+                    "select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
+                    "skip_first_latents": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                },
+            }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/latent"
+
+    RETURN_TYPES = ("LATENT", "INT",)
+    RETURN_NAMES = ("LATENT", "count",)
+    FUNCTION = "select_latents"
+
+    def select_latents(self, latents: dict[str, Tensor], select_every_nth: int, skip_first_latents: int):
+        latents = latents.copy()
+        latents_len = len(latents["samples"])
+        for key, val in latents.items():
+            if type(val) == Tensor and len(val) == latents_len:
+                latents[key] = val[skip_first_latents::select_every_nth]
+        return (latents, latents["samples"].size(0))
+    
+
+class SelectEveryNthImage:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "images": ("IMAGE",),
+                    "select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
+                    "skip_first_images": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                    
+                },
+            }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/image"
+
+    RETURN_TYPES = ("IMAGE", "INT",)
+    RETURN_NAMES = ("IMAGE", "count",)
+    FUNCTION = "select_images"
+
+    def select_images(self, images: Tensor, select_every_nth: int, skip_first_images: int):
+        sub_images = images[skip_first_images::select_every_nth]
+        return (sub_images, sub_images.size(0))
+    
+
+class SelectEveryNthMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "mask": ("MASK",),
+                    "select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
+                    "skip_first_masks": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                },
+            }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/mask"
+
+    RETURN_TYPES = ("MASK", "INT",)
+    RETURN_NAMES = ("MASK", "count",)
+    FUNCTION = "select_masks"
+
+    def select_masks(self, mask: Tensor, select_every_nth: int, skip_first_masks: int):
+        sub_mask = mask[skip_first_masks::select_every_nth]
+        return (sub_mask, sub_mask.size(0))
+
+
+class GetLatentCount:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "latents": ("LATENT",),
+            }
+        }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/latent"
+
+    RETURN_TYPES = ("INT",)
+    RETURN_NAMES = ("count",)
+    FUNCTION = "count_input"
+
+    def count_input(self, latents: dict):
+        return (latents["samples"].size(0),)
+
+
+class GetImageCount:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "images": ("IMAGE",),
+            }
+        }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/image"
+
+    RETURN_TYPES = ("INT",)
+    RETURN_NAMES = ("count",)
+    FUNCTION = "count_input"
+
+    def count_input(self, images: Tensor):
+        return (images.size(0),)
+    
+
+class GetMaskCount:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+            }
+        }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/mask"
+
+    RETURN_TYPES = ("INT",)
+    RETURN_NAMES = ("count",)
+    FUNCTION = "count_input"
+
+    def count_input(self, mask: Tensor):
+        return (mask.size(0),)
+
+
+class RepeatLatents:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "latents": ("LATENT",),
+                "multiply_by": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1})
+            }
+        }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/latent"
+
+    RETURN_TYPES = ("LATENT", "INT",)
+    RETURN_NAMES = ("LATENT", "count",)
+    FUNCTION = "duplicate_input"
+
+    def duplicate_input(self, latents: dict[str, Tensor], multiply_by: int):
+        latents = latents.copy()
+        latents_len = len(latents["samples"])
+        for key, val in latents.items():
+            if type(val) == Tensor and len(val) == latents_len:
+                full_latents = []
+                for _ in range(0, multiply_by):
+                    full_latents.append(latents[key])
+                latents[key] = torch.cat(full_latents, dim=0)
+        return (latents, latents["samples"].size(0),)
+
+
+class RepeatImages:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "images": ("IMAGE",),
+                "multiply_by": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1})
+            }
+        }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/image"
+
+    RETURN_TYPES = ("IMAGE", "INT",)
+    RETURN_NAMES = ("IMAGE", "count",)
+    FUNCTION = "duplicate_input"
+
+    def duplicate_input(self, images: Tensor, multiply_by: int):
+        full_images = []
+        for n in range(0, multiply_by):
+            full_images.append(images)
+        new_images = torch.cat(full_images, dim=0)
+        return (new_images, new_images.size(0),)
+
+
+class RepeatMasks:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "multiply_by": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1})
+            }
+        }
+    
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/mask"
+
+    RETURN_TYPES = ("MASK", "INT",)
+    RETURN_NAMES = ("MASK", "count",)
+    FUNCTION = "duplicate_input"
+
+    def duplicate_input(self, mask: Tensor, multiply_by: int):
+        full_masks = []
+        for n in range(0, multiply_by):
+            full_masks.append(mask)
+        new_mask = torch.cat(full_masks, dim=0)
+        return (new_mask, new_mask.size(0),)
+
+
+select_description = """Use comma-separated indexes to select items in the given order.
+Supports negative indexes, python-style ranges (end index excluded),
+as well as range step.
+
+Acceptable entries (assuming 16 items provided, so idxs 0 to 15 exist):
+0         -> Returns [0]
+-1        -> Returns [15]
+0, 1, 13  -> Returns [0, 1, 13]
+0:5, 13   -> Returns [0, 1, 2, 3, 4, 13]
+0:-1      -> Returns [0, 1, 2, ..., 13, 14]
+0:5:-1    -> Returns [4, 3, 2, 1, 0]
+0:5:2     -> Returns [0, 2, 4]
+::-1     -> Returns [15, 14, 13, ..., 2, 1, 0]
+"""
+class SelectLatents:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "latent": ("LATENT",),
+                    "indexes": ("STRING", {"default": "0"}),
+                    "err_if_missing": ("BOOLEAN", {"default": True}),
+                    "err_if_empty": ("BOOLEAN", {"default": True}),
+                },
+            }
+    
+    DESCRIPTION = select_description
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/latent"
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "select"
+
+    def select(self, latent: dict[str, Tensor], indexes: str, err_if_missing: bool, err_if_empty: bool):
+        # latents are a dict and may contain different stuff (like noise_mask), so need to account for it all
+        latent = latent.copy()
+        latents_len = len(latent["samples"])
+        real_idxs = convert_str_to_indexes(indexes, latents_len, allow_missing=not err_if_missing)
+        if err_if_empty and len(real_idxs) == 0:
+            raise Exception(f"Nothing was selected based on indexes found in '{indexes}'.")
+        for key, val in latent.items():
+            if type(val) == Tensor and len(val) == latents_len:
+                latent[key] = select_indexes(val, real_idxs)
+        return (latent,)
+
+
+class SelectImages:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "image": ("IMAGE",),
+                    "indexes": ("STRING", {"default": "0"}),
+                    "err_if_missing": ("BOOLEAN", {"default": True}),
+                    "err_if_empty": ("BOOLEAN", {"default": True}),
+                },
+            }
+    
+    DESCRIPTION = select_description
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/image"
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "select"
+
+    def select(self, image: Tensor, indexes: str, err_if_missing: bool, err_if_empty: bool):
+        to_return = select_indexes_from_str(input_obj=image, indexes=indexes,
+                                        err_if_missing=err_if_missing, err_if_empty=err_if_empty)
+        to_return_type = type(to_return)
+        return (to_return,)
+
+
+class SelectMasks:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "mask": ("MASK",),
+                    "indexes": ("STRING", {"default": "0"}),
+                    "err_if_missing": ("BOOLEAN", {"default": True}),
+                    "err_if_empty": ("BOOLEAN", {"default": True}),
+                },
+            }
+    
+    DESCRIPTION = select_description
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/mask"
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "select"
+
+    def select(self, mask: Tensor, indexes: str, err_if_missing: bool, err_if_empty: bool):
+        return (select_indexes_from_str(input_obj=mask, indexes=indexes,
+                                        err_if_missing=err_if_missing, err_if_empty=err_if_empty),)
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/load_images_nodes.py b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/load_images_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..43f3387c4f907d7372c207f7f1aeb626c27b836b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/load_images_nodes.py
@@ -0,0 +1,206 @@
+import os
+import hashlib
+import numpy as np
+import torch
+from PIL import Image, ImageOps
+import itertools
+
+import folder_paths
+from comfy.k_diffusion.utils import FolderOfImages
+from comfy.utils import common_upscale, ProgressBar
+from .logger import logger
+from .utils import BIGMAX, calculate_file_hash, get_sorted_dir_files_from_directory, validate_path, strip_path
+
+
+def is_changed_load_images(directory: str, image_load_cap: int = 0, skip_first_images: int = 0, select_every_nth: int = 1, **kwargs):
+    if not os.path.isdir(directory):
+            return False
+        
+    dir_files = get_sorted_dir_files_from_directory(directory, skip_first_images, select_every_nth, FolderOfImages.IMG_EXTENSIONS)
+    if image_load_cap != 0:
+        dir_files = dir_files[:image_load_cap]
+
+    m = hashlib.sha256()
+    for filepath in dir_files:
+        m.update(calculate_file_hash(filepath).encode()) # strings must be encoded before hashing
+    return m.digest().hex()
+
+
+def validate_load_images(directory: str):
+    if not os.path.isdir(directory):
+            return f"Directory '{directory}' cannot be found."
+    dir_files = os.listdir(directory)
+    if len(dir_files) == 0:
+        return f"No files in directory '{directory}'."
+
+    return True
+
+def images_generator(directory: str, image_load_cap: int = 0, skip_first_images: int = 0, select_every_nth: int = 1, meta_batch=None, unique_id=None):
+    if not os.path.isdir(directory):
+        raise FileNotFoundError(f"Directory '{directory} cannot be found.")
+    dir_files = get_sorted_dir_files_from_directory(directory, skip_first_images, select_every_nth, FolderOfImages.IMG_EXTENSIONS)
+
+    if len(dir_files) == 0:
+        raise FileNotFoundError(f"No files in directory '{directory}'.")
+    if image_load_cap > 0:
+        dir_files = dir_files[:image_load_cap]
+    sizes = {}
+    has_alpha = False
+    for image_path in dir_files:
+        i = Image.open(image_path)
+        #exif_transpose can only ever rotate, but rotating can swap width/height
+        i = ImageOps.exif_transpose(i)
+        has_alpha |= 'A' in i.getbands()
+        count = sizes.get(i.size, 0)
+        sizes[i.size] = count +1
+    size = max(sizes.items(), key=lambda x: x[1])[0]
+    yield size[0], size[1], has_alpha
+    if meta_batch is not None:
+        yield min(image_load_cap, len(dir_files)) or len(dir_files)
+
+    iformat = "RGBA" if has_alpha else "RGB"
+    def load_image(file_path):
+        i = Image.open(file_path)
+        i = ImageOps.exif_transpose(i)
+        i = i.convert(iformat)
+        i = np.array(i, dtype=np.float32)
+        #This nonsense provides a nearly 50% speedup on my system
+        torch.from_numpy(i).div_(255)
+        if i.shape[0] != size[1] or i.shape[1] != size[0]:
+            i = torch.from_numpy(i).movedim(-1, 0).unsqueeze(0)
+            i = common_upscale(i, size[0], size[1], "lanczos", "center")
+            i = i.squeeze(0).movedim(0, -1).numpy()
+        if has_alpha:
+            i[:,:,-1] = 1 - i[:,:,-1]
+        return i
+
+    total_images = len(dir_files)
+    processed_images = 0
+    pbar = ProgressBar(total_images)
+    images =  map(load_image, dir_files)
+    try:
+        prev_image = next(images)
+        while True:
+            next_image = next(images)
+            yield prev_image
+            processed_images += 1
+            pbar.update_absolute(processed_images, total_images)
+            prev_image = next_image
+    except StopIteration:
+        pass
+    if meta_batch is not None:
+        meta_batch.inputs.pop(unique_id)
+        meta_batch.has_closed_inputs = True
+    if prev_image is not None:
+        yield prev_image
+
+
+def load_images(directory: str, image_load_cap: int = 0, skip_first_images: int = 0, select_every_nth: int = 1, meta_batch=None, unique_id=None):
+    if meta_batch is None or unique_id not in meta_batch.inputs:
+        gen = images_generator(directory, image_load_cap, skip_first_images, select_every_nth, meta_batch, unique_id)
+        (width, height, has_alpha) = next(gen)
+        if meta_batch is not None:
+            meta_batch.inputs[unique_id] = (gen, width, height, has_alpha)
+            meta_batch.total_frames = min(meta_batch.total_frames, next(gen))
+    else:
+        gen, width, height, has_alpha = meta_batch.inputs[unique_id]
+
+    if meta_batch is not None:
+        gen = itertools.islice(gen, meta_batch.frames_per_batch)
+    images = torch.from_numpy(np.fromiter(gen, np.dtype((np.float32, (height, width, 3 + has_alpha)))))
+    if has_alpha:
+        #tensors are not continuous. Rewrite will be required if this is an issue
+        masks = images[:,:,:,3]
+        images = images[:,:,:,:3]
+    else:
+        masks = torch.zeros((images.size(0), 64, 64), dtype=torch.float32, device="cpu")
+    if len(images) == 0:
+        raise FileNotFoundError(f"No images could be loaded from directory '{directory}'.")
+    return images, masks, images.size(0)
+
+class LoadImagesFromDirectoryUpload:
+    @classmethod
+    def INPUT_TYPES(s):
+        input_dir = folder_paths.get_input_directory()
+        directories = []
+        for item in os.listdir(input_dir):
+            if not os.path.isfile(os.path.join(input_dir, item)) and item != "clipspace":
+                directories.append(item)
+        return {
+            "required": {
+                "directory": (directories,),
+            },
+            "optional": {
+                "image_load_cap": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                "skip_first_images": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                "select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
+                "meta_batch": ("VHS_BatchManager",),
+            },
+            "hidden": {
+                "unique_id": "UNIQUE_ID"
+            },
+        }
+    
+    RETURN_TYPES = ("IMAGE", "MASK", "INT")
+    RETURN_NAMES = ("IMAGE", "MASK", "frame_count")
+    FUNCTION = "load_images"
+
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+
+    def load_images(self, directory: str, **kwargs):
+        directory = folder_paths.get_annotated_filepath(strip_path(directory))
+        return load_images(directory, **kwargs)
+    
+    @classmethod
+    def IS_CHANGED(s, directory: str, **kwargs):
+        directory = folder_paths.get_annotated_filepath(strip_path(directory))
+        return is_changed_load_images(directory, **kwargs)
+
+    @classmethod
+    def VALIDATE_INPUTS(s, directory: str, **kwargs):
+        directory = folder_paths.get_annotated_filepath(strip_path(directory))
+        return validate_load_images(directory)
+
+
+class LoadImagesFromDirectoryPath:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "directory": ("STRING", {"placeholder": "X://path/to/images", "vhs_path_extensions": []}),
+            },
+            "optional": {
+                "image_load_cap": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                "skip_first_images": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                "select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
+                "meta_batch": ("VHS_BatchManager",),
+            },
+            "hidden": {
+                "unique_id": "UNIQUE_ID"
+            },
+        }
+    
+    RETURN_TYPES = ("IMAGE", "MASK", "INT")
+    RETURN_NAMES = ("IMAGE", "MASK", "frame_count")
+    FUNCTION = "load_images"
+
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+
+    def load_images(self, directory: str, **kwargs):
+        directory = strip_path(directory)
+        if directory is None or validate_load_images(directory) != True:
+            raise Exception("directory is not valid: " + directory)
+
+        return load_images(directory, **kwargs)
+    
+    @classmethod
+    def IS_CHANGED(s, directory: str, **kwargs):
+        if directory is None:
+            return "input"
+        return is_changed_load_images(directory, **kwargs)
+
+    @classmethod
+    def VALIDATE_INPUTS(s, directory: str, **kwargs):
+        if directory is None:
+            return True
+        return validate_load_images(strip_path(directory))
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/load_video_nodes.py b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/load_video_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..d6e5aa90d4a0e00ac49009647c34464737512cfc
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/load_video_nodes.py
@@ -0,0 +1,328 @@
+import os
+import itertools
+import numpy as np
+import torch
+from PIL import Image, ImageOps
+import cv2
+import psutil
+
+import folder_paths
+from comfy.utils import common_upscale, ProgressBar
+from .logger import logger
+from .utils import BIGMAX, DIMMAX, calculate_file_hash, get_sorted_dir_files_from_directory,\
+        lazy_get_audio, hash_path, validate_path, strip_path, try_download_video, is_url, imageOrLatent
+
+
+video_extensions = ['webm', 'mp4', 'mkv', 'gif', 'mov']
+
+
+def is_gif(filename) -> bool:
+    file_parts = filename.split('.')
+    return len(file_parts) > 1 and file_parts[-1] == "gif"
+
+
+def target_size(width, height, force_size, custom_width, custom_height, downscale_ratio=8) -> tuple[int, int]:
+    if force_size == "Disabled":
+        pass
+    elif force_size == "Custom Width" or force_size.endswith('x?'):
+        height *= custom_width/width
+        width = custom_width
+    elif force_size == "Custom Height" or force_size.startswith('?x'):
+        width *= custom_height/height
+        height = custom_height
+    else:
+        width = custom_width
+        height = custom_height
+    width = int(width/downscale_ratio + 0.5) * downscale_ratio
+    height = int(height/downscale_ratio + 0.5) * downscale_ratio
+    return (width, height)
+
+def cv_frame_generator(video, force_rate, frame_load_cap, skip_first_frames,
+                       select_every_nth, meta_batch=None, unique_id=None):
+    video_cap = cv2.VideoCapture(strip_path(video))
+    if not video_cap.isOpened():
+        raise ValueError(f"{video} could not be loaded with cv.")
+
+    # extract video metadata
+    fps = video_cap.get(cv2.CAP_PROP_FPS)
+    width = int(video_cap.get(cv2.CAP_PROP_FRAME_WIDTH))
+    height = int(video_cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
+    total_frames = int(video_cap.get(cv2.CAP_PROP_FRAME_COUNT))
+    duration = total_frames / fps
+
+    # set video_cap to look at start_index frame
+    total_frame_count = 0
+    total_frames_evaluated = -1
+    frames_added = 0
+    base_frame_time = 1 / fps
+    prev_frame = None
+
+    if force_rate == 0:
+        target_frame_time = base_frame_time
+    else:
+        target_frame_time = 1/force_rate
+
+    yield (width, height, fps, duration, total_frames, target_frame_time)
+    if total_frames > 0:
+        if force_rate != 0:
+            yieldable_frames = int(total_frames / fps * force_rate)
+        else:
+            yieldable_frames = total_frames
+        if frame_load_cap != 0:
+            yieldable_frames =  min(frame_load_cap, yieldable_frames)
+    else:
+        yieldable_frames = 0
+    pbar = ProgressBar(yieldable_frames)
+    if meta_batch is not None:
+        yield yieldable_frames
+    time_offset=target_frame_time - base_frame_time
+    while video_cap.isOpened():
+        if time_offset < target_frame_time:
+            is_returned = video_cap.grab()
+            # if didn't return frame, video has ended
+            if not is_returned:
+                break
+            time_offset += base_frame_time
+        if time_offset < target_frame_time:
+            continue
+        time_offset -= target_frame_time
+        # if not at start_index, skip doing anything with frame
+        total_frame_count += 1
+        if total_frame_count <= skip_first_frames:
+            continue
+        else:
+            total_frames_evaluated += 1
+
+        # if should not be selected, skip doing anything with frame
+        if total_frames_evaluated%select_every_nth != 0:
+            continue
+
+        # opencv loads images in BGR format (yuck), so need to convert to RGB for ComfyUI use
+        # follow up: can videos ever have an alpha channel?
+        # To my testing: No. opencv has no support for alpha
+        unused, frame = video_cap.retrieve()
+        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+        # convert frame to comfyui's expected format
+        # TODO: frame contains no exif information. Check if opencv2 has already applied
+        frame = np.array(frame, dtype=np.float32)
+        torch.from_numpy(frame).div_(255)
+        if prev_frame is not None:
+            inp  = yield prev_frame
+            if inp is not None:
+                #ensure the finally block is called
+                return
+        prev_frame = frame
+        frames_added += 1
+        if pbar is not None:
+            pbar.update_absolute(frames_added, yieldable_frames)
+        # if cap exists and we've reached it, stop processing frames
+        if frame_load_cap > 0 and frames_added >= frame_load_cap:
+            break
+    if meta_batch is not None:
+        meta_batch.inputs.pop(unique_id)
+        meta_batch.has_closed_inputs = True
+    if prev_frame is not None:
+        yield prev_frame
+
+#Python 3.12 adds an itertools.batched, but it's easily replicated for legacy support
+def batched(it, n):
+    while batch := tuple(itertools.islice(it, n)):
+        yield batch
+def batched_vae_encode(images, vae, frames_per_batch):
+    for batch in batched(images, frames_per_batch):
+        image_batch = torch.from_numpy(np.array(batch))
+        yield from vae.encode(image_batch).numpy()
+
+def load_video_cv(video: str, force_rate: int, force_size: str,
+                  custom_width: int,custom_height: int, frame_load_cap: int,
+                  skip_first_frames: int, select_every_nth: int,
+                  meta_batch=None, unique_id=None, memory_limit_mb=None, vae=None):
+    if meta_batch is None or unique_id not in meta_batch.inputs:
+        gen = cv_frame_generator(video, force_rate, frame_load_cap, skip_first_frames,
+                                 select_every_nth, meta_batch, unique_id)
+        (width, height, fps, duration, total_frames, target_frame_time) = next(gen)
+
+        if meta_batch is not None:
+            meta_batch.inputs[unique_id] = (gen, width, height, fps, duration, total_frames, target_frame_time)
+            yieldable_frames = next(gen)
+            if yieldable_frames:
+                meta_batch.total_frames = min(meta_batch.total_frames, yieldable_frames)
+
+    else:
+        (gen, width, height, fps, duration, total_frames, target_frame_time) = meta_batch.inputs[unique_id]
+
+    memory_limit = None
+    if memory_limit_mb is not None:
+        memory_limit *= 2 ** 20
+    else:
+        #TODO: verify if garbage collection should be performed here.
+        #leaves ~128 MB unreserved for safety
+        try:
+            memory_limit = (psutil.virtual_memory().available + psutil.swap_memory().free) - 2 ** 27
+        except:
+            logger.warn("Failed to calculate available memory. Memory load limit has been disabled")
+    if memory_limit is not None:
+        if vae is not None:
+            #space required to load as f32, exist as latent with wiggle room, decode to f32
+            max_loadable_frames = int(memory_limit//(width*height*3*(4+4+1/10)))
+        else:
+            #TODO: use better estimate for when vae is not None
+            #Consider completely ignoring for load_latent case?
+            max_loadable_frames = int(memory_limit//(width*height*3*(.1)))
+        if meta_batch is not None:
+            if meta_batch.frames_per_batch > max_loadable_frames:
+                raise RuntimeError(f"Meta Batch set to {meta_batch.frames_per_batch} frames but only {max_loadable_frames} can fit in memory")
+            gen = itertools.islice(gen, meta_batch.frames_per_batch)
+        else:
+            original_gen = gen
+            gen = itertools.islice(gen, max_loadable_frames)
+    downscale_ratio = getattr(vae, "downscale_ratio", 8)
+    frames_per_batch = (1920 * 1080 * 16) // (width * height) or 1
+    if force_size != "Disabled" or vae is not None:
+        new_size = target_size(width, height, force_size, custom_width, custom_height, downscale_ratio)
+        if new_size[0] != width or new_size[1] != height:
+            def rescale(frame):
+                s = torch.from_numpy(np.fromiter(frame, np.dtype((np.float32, (height, width, 3)))))
+                s = s.movedim(-1,1)
+                s = common_upscale(s, new_size[0], new_size[1], "lanczos", "center")
+                return s.movedim(1,-1).numpy()
+            gen = itertools.chain.from_iterable(map(rescale, batched(gen, frames_per_batch)))
+    else:
+        new_size = width, height
+    if vae is not None:
+        gen = batched_vae_encode(gen, vae, frames_per_batch)
+        vw,vh = new_size[0]//downscale_ratio, new_size[1]//downscale_ratio
+        channels = getattr(vae, 'latent_channels', 4)
+        images = torch.from_numpy(np.fromiter(gen, np.dtype((np.float32, (channels,vh,vw)))))
+    else:
+        #Some minor wizardry to eliminate a copy and reduce max memory by a factor of ~2
+        images = torch.from_numpy(np.fromiter(gen, np.dtype((np.float32, (new_size[1], new_size[0], 3)))))
+    if meta_batch is None and memory_limit is not None:
+        try:
+            next(original_gen)
+            raise RuntimeError(f"Memory limit hit after loading {len(images)} frames. Stopping execution.")
+        except StopIteration:
+            pass
+    if len(images) == 0:
+        raise RuntimeError("No frames generated")
+
+    #Setup lambda for lazy audio capture
+    audio = lazy_get_audio(video, skip_first_frames * target_frame_time,
+                               frame_load_cap*target_frame_time*select_every_nth)
+    #Adjust target_frame_time for select_every_nth
+    target_frame_time *= select_every_nth
+    video_info = {
+        "source_fps": fps,
+        "source_frame_count": total_frames,
+        "source_duration": duration,
+        "source_width": width,
+        "source_height": height,
+        "loaded_fps": 1/target_frame_time,
+        "loaded_frame_count": len(images),
+        "loaded_duration": len(images) * target_frame_time,
+        "loaded_width": new_size[0],
+        "loaded_height": new_size[1],
+    }
+    if vae is None:
+        return (images, len(images), audio, video_info)
+    else:
+        return ({"samples": images}, len(images), audio, video_info)
+
+
+
+class LoadVideoUpload:
+    @classmethod
+    def INPUT_TYPES(s):
+        input_dir = folder_paths.get_input_directory()
+        files = []
+        for f in os.listdir(input_dir):
+            if os.path.isfile(os.path.join(input_dir, f)):
+                file_parts = f.split('.')
+                if len(file_parts) > 1 and (file_parts[-1].lower() in video_extensions):
+                    files.append(f)
+        return {"required": {
+                    "video": (sorted(files),),
+                     "force_rate": ("INT", {"default": 0, "min": 0, "max": 60, "step": 1}),
+                     "force_size": (["Disabled", "Custom Height", "Custom Width", "Custom", "256x?", "?x256", "256x256", "512x?", "?x512", "512x512"],),
+                     "custom_width": ("INT", {"default": 512, "min": 0, "max": DIMMAX, "step": 8}),
+                     "custom_height": ("INT", {"default": 512, "min": 0, "max": DIMMAX, "step": 8}),
+                     "frame_load_cap": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                     "skip_first_frames": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                     "select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
+                     },
+                "optional": {
+                    "meta_batch": ("VHS_BatchManager",),
+                    "vae": ("VAE",),
+                },
+                "hidden": {
+                    "unique_id": "UNIQUE_ID"
+                },
+                }
+
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+
+    RETURN_TYPES = (imageOrLatent, "INT", "AUDIO", "VHS_VIDEOINFO")
+    RETURN_NAMES = ("IMAGE", "frame_count", "audio", "video_info")
+
+    FUNCTION = "load_video"
+
+    def load_video(self, **kwargs):
+        kwargs['video'] = folder_paths.get_annotated_filepath(strip_path(kwargs['video']))
+        return load_video_cv(**kwargs)
+
+    @classmethod
+    def IS_CHANGED(s, video, **kwargs):
+        image_path = folder_paths.get_annotated_filepath(video)
+        return calculate_file_hash(image_path)
+
+    @classmethod
+    def VALIDATE_INPUTS(s, video, force_size, **kwargs):
+        if not folder_paths.exists_annotated_filepath(video):
+            return "Invalid video file: {}".format(video)
+        return True
+
+
+class LoadVideoPath:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "video": ("STRING", {"placeholder": "X://insert/path/here.mp4", "vhs_path_extensions": video_extensions}),
+                "force_rate": ("INT", {"default": 0, "min": 0, "max": 60, "step": 1}),
+                 "force_size": (["Disabled", "Custom Height", "Custom Width", "Custom", "256x?", "?x256", "256x256", "512x?", "?x512", "512x512"],),
+                 "custom_width": ("INT", {"default": 512, "min": 0, "max": DIMMAX, "step": 8}),
+                 "custom_height": ("INT", {"default": 512, "min": 0, "max": DIMMAX, "step": 8}),
+                "frame_load_cap": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                "skip_first_frames": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                "select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
+            },
+            "optional": {
+                "meta_batch": ("VHS_BatchManager",),
+                "vae": ("VAE",),
+            },
+            "hidden": {
+                "unique_id": "UNIQUE_ID"
+            },
+        }
+
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+
+    RETURN_TYPES = (imageOrLatent, "INT", "AUDIO", "VHS_VIDEOINFO")
+    RETURN_NAMES = ("IMAGE", "frame_count", "audio", "video_info")
+
+    FUNCTION = "load_video"
+
+    def load_video(self, **kwargs):
+        if kwargs['video'] is None or validate_path(kwargs['video']) != True:
+            raise Exception("video is not a valid path: " + kwargs['video'])
+        if is_url(kwargs['video']):
+            kwargs['video'] = try_download_video(kwargs['video']) or kwargs['video']
+        return load_video_cv(**kwargs)
+
+    @classmethod
+    def IS_CHANGED(s, video, **kwargs):
+        return hash_path(video)
+
+    @classmethod
+    def VALIDATE_INPUTS(s, video, **kwargs):
+        return validate_path(video, allow_none=True)
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/logger.py b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/logger.py
new file mode 100644
index 0000000000000000000000000000000000000000..6e7b8d64bda275608ba6bf8ee28d2a2112e3e2be
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/logger.py
@@ -0,0 +1,36 @@
+import sys
+import copy
+import logging
+
+
+class ColoredFormatter(logging.Formatter):
+    COLORS = {
+        "DEBUG": "\033[0;36m",  # CYAN
+        "INFO": "\033[0;32m",  # GREEN
+        "WARNING": "\033[0;33m",  # YELLOW
+        "ERROR": "\033[0;31m",  # RED
+        "CRITICAL": "\033[0;37;41m",  # WHITE ON RED
+        "RESET": "\033[0m",  # RESET COLOR
+    }
+
+    def format(self, record):
+        colored_record = copy.copy(record)
+        levelname = colored_record.levelname
+        seq = self.COLORS.get(levelname, self.COLORS["RESET"])
+        colored_record.levelname = f"{seq}{levelname}{self.COLORS['RESET']}"
+        return super().format(colored_record)
+
+
+# Create a new logger
+logger = logging.getLogger("VideoHelperSuite")
+logger.propagate = False
+
+# Add handler if we don't have one.
+if not logger.handlers:
+    handler = logging.StreamHandler(sys.stdout)
+    handler.setFormatter(ColoredFormatter("[%(name)s] - %(levelname)s - %(message)s"))
+    logger.addHandler(handler)
+
+# Configure logger
+loglevel = logging.INFO
+logger.setLevel(loglevel)
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/nodes.py b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..05566c641a5f09f01e103366662c165f0c73a996
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/nodes.py
@@ -0,0 +1,1025 @@
+import os
+import sys
+import json
+import subprocess
+import numpy as np
+import re
+import datetime
+from typing import List
+import torch
+from PIL import Image, ExifTags
+from PIL.PngImagePlugin import PngInfo
+from pathlib import Path
+from string import Template
+import itertools
+import functools
+
+import folder_paths
+from .logger import logger
+from .image_latent_nodes import *
+from .load_video_nodes import LoadVideoUpload, LoadVideoPath
+from .load_images_nodes import LoadImagesFromDirectoryUpload, LoadImagesFromDirectoryPath
+from .batched_nodes import VAEEncodeBatched, VAEDecodeBatched
+from .utils import ffmpeg_path, get_audio, hash_path, validate_path, requeue_workflow, gifski_path, calculate_file_hash, strip_path, try_download_video, is_url, imageOrLatent
+from comfy.utils import ProgressBar
+
+folder_paths.folder_names_and_paths["VHS_video_formats"] = (
+    [
+        os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "video_formats"),
+    ],
+    [".json"]
+)
+audio_extensions = ['mp3', 'mp4', 'wav', 'ogg']
+
+def gen_format_widgets(video_format):
+    for k in video_format:
+        if k.endswith("_pass"):
+            for i in range(len(video_format[k])):
+                if isinstance(video_format[k][i], list):
+                    item = [video_format[k][i]]
+                    yield item
+                    video_format[k][i] = item[0]
+        else:
+            if isinstance(video_format[k], list):
+                item = [video_format[k]]
+                yield item
+                video_format[k] = item[0]
+
+def get_video_formats():
+    formats = []
+    for format_name in folder_paths.get_filename_list("VHS_video_formats"):
+        format_name = format_name[:-5]
+        video_format_path = folder_paths.get_full_path("VHS_video_formats", format_name + ".json")
+        with open(video_format_path, 'r') as stream:
+            video_format = json.load(stream)
+        if "gifski_pass" in video_format and gifski_path is None:
+            #Skip format
+            continue
+        widgets = [w[0] for w in gen_format_widgets(video_format)]
+        if (len(widgets) > 0):
+            formats.append(["video/" + format_name, widgets])
+        else:
+            formats.append("video/" + format_name)
+    return formats
+
+def get_format_widget_defaults(format_name):
+    video_format_path = folder_paths.get_full_path("VHS_video_formats", format_name + ".json")
+    with open(video_format_path, 'r') as stream:
+        video_format = json.load(stream)
+    results = {}
+    for w in gen_format_widgets(video_format):
+        if len(w[0]) > 2 and 'default' in w[0][2]:
+            default = w[0][2]['default']
+        else:
+            if type(w[0][1]) is list:
+                default = w[0][1][0]
+            else:
+                #NOTE: This doesn't respect max/min, but should be good enough as a fallback to a fallback to a fallback
+                default = {"BOOLEAN": False, "INT": 0, "FLOAT": 0, "STRING": ""}[w[0][1]]
+        results[w[0][0]] = default
+    return results
+
+
+def apply_format_widgets(format_name, kwargs):
+    video_format_path = folder_paths.get_full_path("VHS_video_formats", format_name + ".json")
+    with open(video_format_path, 'r') as stream:
+        video_format = json.load(stream)
+    for w in gen_format_widgets(video_format):
+        assert(w[0][0] in kwargs)
+        if len(w[0]) > 3:
+            w[0] = Template(w[0][3]).substitute(val=kwargs[w[0][0]])
+        else:
+            w[0] = str(kwargs[w[0][0]])
+    return video_format
+
+def tensor_to_int(tensor, bits):
+    #TODO: investigate benefit of rounding by adding 0.5 before clip/cast
+    tensor = tensor.cpu().numpy() * (2**bits-1)
+    return np.clip(tensor, 0, (2**bits-1))
+def tensor_to_shorts(tensor):
+    return tensor_to_int(tensor, 16).astype(np.uint16)
+def tensor_to_bytes(tensor):
+    return tensor_to_int(tensor, 8).astype(np.uint8)
+
+def ffmpeg_process(args, video_format, video_metadata, file_path, env):
+
+    res = None
+    frame_data = yield
+    total_frames_output = 0
+    if video_format.get('save_metadata', 'False') != 'False':
+        os.makedirs(folder_paths.get_temp_directory(), exist_ok=True)
+        metadata = json.dumps(video_metadata)
+        metadata_path = os.path.join(folder_paths.get_temp_directory(), "metadata.txt")
+        #metadata from file should  escape = ; # \ and newline
+        metadata = metadata.replace("\\","\\\\")
+        metadata = metadata.replace(";","\\;")
+        metadata = metadata.replace("#","\\#")
+        metadata = metadata.replace("=","\\=")
+        metadata = metadata.replace("\n","\\\n")
+        metadata = "comment=" + metadata
+        with open(metadata_path, "w") as f:
+            f.write(";FFMETADATA1\n")
+            f.write(metadata)
+        m_args = args[:1] + ["-i", metadata_path] + args[1:] + ["-metadata", "creation_time=now"]
+        with subprocess.Popen(m_args + [file_path], stderr=subprocess.PIPE,
+                              stdin=subprocess.PIPE, env=env) as proc:
+            try:
+                while frame_data is not None:
+                    proc.stdin.write(frame_data)
+                    #TODO: skip flush for increased speed
+                    frame_data = yield
+                    total_frames_output+=1
+                proc.stdin.flush()
+                proc.stdin.close()
+                res = proc.stderr.read()
+            except BrokenPipeError as e:
+                err = proc.stderr.read()
+                #Check if output file exists. If it does, the re-execution
+                #will also fail. This obscures the cause of the error
+                #and seems to never occur concurrent to the metadata issue
+                if os.path.exists(file_path):
+                    raise Exception("An error occurred in the ffmpeg subprocess:\n" \
+                            + err.decode("utf-8"))
+                #Res was not set
+                print(err.decode("utf-8"), end="", file=sys.stderr)
+                logger.warn("An error occurred when saving with metadata")
+    if res != b'':
+        with subprocess.Popen(args + [file_path], stderr=subprocess.PIPE,
+                              stdin=subprocess.PIPE, env=env) as proc:
+            try:
+                while frame_data is not None:
+                    proc.stdin.write(frame_data)
+                    frame_data = yield
+                    total_frames_output+=1
+                proc.stdin.flush()
+                proc.stdin.close()
+                res = proc.stderr.read()
+            except BrokenPipeError as e:
+                res = proc.stderr.read()
+                raise Exception("An error occurred in the ffmpeg subprocess:\n" \
+                        + res.decode("utf-8"))
+    yield total_frames_output
+    if len(res) > 0:
+        print(res.decode("utf-8"), end="", file=sys.stderr)
+
+def gifski_process(args, video_format, file_path, env):
+    frame_data = yield
+    with subprocess.Popen(args + video_format['main_pass'] + ['-f', 'yuv4mpegpipe', '-'],
+                          stderr=subprocess.PIPE, stdin=subprocess.PIPE,
+                          stdout=subprocess.PIPE, env=env) as procff:
+        with subprocess.Popen([gifski_path] + video_format['gifski_pass']
+                              + ['-q', '-o', file_path, '-'], stderr=subprocess.PIPE,
+                              stdin=procff.stdout, stdout=subprocess.PIPE,
+                              env=env) as procgs:
+            try:
+                while frame_data is not None:
+                    procff.stdin.write(frame_data)
+                    frame_data = yield
+                procff.stdin.flush()
+                procff.stdin.close()
+                resff = procff.stderr.read()
+                resgs = procgs.stderr.read()
+                outgs = procgs.stdout.read()
+            except BrokenPipeError as e:
+                procff.stdin.close()
+                resff = procff.stderr.read()
+                resgs = procgs.stderr.read()
+                raise Exception("An error occurred while creating gifski output\n" \
+                        + "Make sure you are using gifski --version >=1.32.0\nffmpeg: " \
+                        + resff.decode("utf-8") + '\ngifski: ' + resgs.decode("utf-8"))
+    if len(resff) > 0:
+        print(resff.decode("utf-8"), end="", file=sys.stderr)
+    if len(resgs) > 0:
+        print(resgs.decode("utf-8"), end="", file=sys.stderr)
+    #should always be empty as the quiet flag is passed
+    if len(outgs) > 0:
+        print(outgs.decode("utf-8"))
+
+def to_pingpong(inp):
+    if not hasattr(inp, "__getitem__"):
+        inp = list(inp)
+    yield from inp
+    for i in range(len(inp)-2,0,-1):
+        yield inp[i]
+
+class VideoCombine:
+    @classmethod
+    def INPUT_TYPES(s):
+        ffmpeg_formats = get_video_formats()
+        return {
+            "required": {
+                "images": (imageOrLatent,),
+                "frame_rate": (
+                    "FLOAT",
+                    {"default": 8, "min": 1, "step": 1},
+                ),
+                "loop_count": ("INT", {"default": 0, "min": 0, "max": 100, "step": 1}),
+                "filename_prefix": ("STRING", {"default": "AnimateDiff"}),
+                "format": (["image/gif", "image/webp"] + ffmpeg_formats,),
+                "pingpong": ("BOOLEAN", {"default": False}),
+                "save_output": ("BOOLEAN", {"default": True}),
+            },
+            "optional": {
+                "audio": ("AUDIO",),
+                "meta_batch": ("VHS_BatchManager",),
+                "vae": ("VAE",),
+            },
+            "hidden": {
+                "prompt": "PROMPT",
+                "extra_pnginfo": "EXTRA_PNGINFO",
+                "unique_id": "UNIQUE_ID"
+            },
+        }
+
+    RETURN_TYPES = ("VHS_FILENAMES",)
+    RETURN_NAMES = ("Filenames",)
+    OUTPUT_NODE = True
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+    FUNCTION = "combine_video"
+
+    def combine_video(
+        self,
+        frame_rate: int,
+        loop_count: int,
+        images=None,
+        latents=None,
+        filename_prefix="AnimateDiff",
+        format="image/gif",
+        pingpong=False,
+        save_output=True,
+        prompt=None,
+        extra_pnginfo=None,
+        audio=None,
+        unique_id=None,
+        manual_format_widgets=None,
+        meta_batch=None,
+        vae=None
+    ):
+        if latents is not None:
+            images = latents
+        if images is None:
+            return ((save_output, []),)
+        if vae is not None:
+            if isinstance(images, dict):
+                images = images['samples']
+            else:
+                vae = None
+
+        if isinstance(images, torch.Tensor) and images.size(0) == 0:
+            return ((save_output, []),)
+        num_frames = len(images)
+        pbar = ProgressBar(num_frames)
+        if vae is not None:
+            downscale_ratio = getattr(vae, "downscale_ratio", 8)
+            width = images.size(3)*downscale_ratio
+            height = images.size(2)*downscale_ratio
+            frames_per_batch = (1920 * 1080 * 16) // (width * height) or 1
+            #Python 3.12 adds an itertools.batched, but it's easily replicated for legacy support
+            def batched(it, n):
+                while batch := tuple(itertools.islice(it, n)):
+                    yield batch
+            def batched_encode(images, vae, frames_per_batch):
+                for batch in batched(iter(images), frames_per_batch):
+                    image_batch = torch.from_numpy(np.array(batch))
+                    yield from vae.decode(image_batch)
+            images = batched_encode(images, vae, frames_per_batch)
+            first_image = next(images)
+            #repush first_image
+            images = itertools.chain([first_image], images)
+        else:
+            first_image = images[0]
+            images = iter(images)
+        # get output information
+        output_dir = (
+            folder_paths.get_output_directory()
+            if save_output
+            else folder_paths.get_temp_directory()
+        )
+        (
+            full_output_folder,
+            filename,
+            _,
+            subfolder,
+            _,
+        ) = folder_paths.get_save_image_path(filename_prefix, output_dir)
+        output_files = []
+
+        metadata = PngInfo()
+        video_metadata = {}
+        if prompt is not None:
+            metadata.add_text("prompt", json.dumps(prompt))
+            video_metadata["prompt"] = json.dumps(prompt)
+        if extra_pnginfo is not None:
+            for x in extra_pnginfo:
+                metadata.add_text(x, json.dumps(extra_pnginfo[x]))
+                video_metadata[x] = extra_pnginfo[x]
+        metadata.add_text("CreationTime", datetime.datetime.now().isoformat(" ")[:19])
+
+        if meta_batch is not None and unique_id in meta_batch.outputs:
+            (counter, output_process) = meta_batch.outputs[unique_id]
+        else:
+            # comfy counter workaround
+            max_counter = 0
+
+            # Loop through the existing files
+            matcher = re.compile(f"{re.escape(filename)}_(\\d+)\\D*\\..+", re.IGNORECASE)
+            for existing_file in os.listdir(full_output_folder):
+                # Check if the file matches the expected format
+                match = matcher.fullmatch(existing_file)
+                if match:
+                    # Extract the numeric portion of the filename
+                    file_counter = int(match.group(1))
+                    # Update the maximum counter value if necessary
+                    if file_counter > max_counter:
+                        max_counter = file_counter
+
+            # Increment the counter by 1 to get the next available value
+            counter = max_counter + 1
+            output_process = None
+
+        # save first frame as png to keep metadata
+        file = f"{filename}_{counter:05}.png"
+        file_path = os.path.join(full_output_folder, file)
+        Image.fromarray(tensor_to_bytes(first_image)).save(
+            file_path,
+            pnginfo=metadata,
+            compress_level=4,
+        )
+        output_files.append(file_path)
+
+        format_type, format_ext = format.split("/")
+        if format_type == "image":
+            if meta_batch is not None:
+                raise Exception("Pillow('image/') formats are not compatible with batched output")
+            image_kwargs = {}
+            if format_ext == "gif":
+                image_kwargs['disposal'] = 2
+            if format_ext == "webp":
+                #Save timestamp information
+                exif = Image.Exif()
+                exif[ExifTags.IFD.Exif] = {36867: datetime.datetime.now().isoformat(" ")[:19]}
+                image_kwargs['exif'] = exif
+            file = f"{filename}_{counter:05}.{format_ext}"
+            file_path = os.path.join(full_output_folder, file)
+            if pingpong:
+                images = to_pingpong(images)
+            frames = map(lambda x : Image.fromarray(tensor_to_bytes(x)), images)
+            # Use pillow directly to save an animated image
+            next(frames).save(
+                file_path,
+                format=format_ext.upper(),
+                save_all=True,
+                append_images=frames,
+                duration=round(1000 / frame_rate),
+                loop=loop_count,
+                compress_level=4,
+                **image_kwargs
+            )
+            output_files.append(file_path)
+        else:
+            # Use ffmpeg to save a video
+            if ffmpeg_path is None:
+                raise ProcessLookupError(f"ffmpeg is required for video outputs and could not be found.\nIn order to use video outputs, you must either:\n- Install imageio-ffmpeg with pip,\n- Place a ffmpeg executable in {os.path.abspath('')}, or\n- Install ffmpeg and add it to the system path.")
+
+            #Acquire additional format_widget values
+            kwargs = None
+            if manual_format_widgets is None:
+                if prompt is not None:
+                    kwargs = prompt[unique_id]['inputs']
+                else:
+                    manual_format_widgets = {}
+            if kwargs is None:
+                kwargs = get_format_widget_defaults(format_ext)
+                missing = {}
+                for k in kwargs.keys():
+                    if k in manual_format_widgets:
+                        kwargs[k] = manual_format_widgets[k]
+                    else:
+                        missing[k] = kwargs[k]
+                if len(missing) > 0:
+                    logger.warn("Extra format values were not provided, the following defaults will be used: " + str(kwargs) + "\nThis is likely due to usage of ComfyUI-to-python. These values can be manually set by supplying a manual_format_widgets argument")
+
+            video_format = apply_format_widgets(format_ext, kwargs)
+            has_alpha = first_image.shape[-1] == 4
+            dim_alignment = video_format.get("dim_alignment", 8)
+            if (first_image.shape[1] % dim_alignment) or (first_image.shape[0] % dim_alignment):
+                #output frames must be padded
+                to_pad = (-first_image.shape[1] % dim_alignment,
+                          -first_image.shape[0] % dim_alignment)
+                padding = (to_pad[0]//2, to_pad[0] - to_pad[0]//2,
+                           to_pad[1]//2, to_pad[1] - to_pad[1]//2)
+                padfunc = torch.nn.ReplicationPad2d(padding)
+                def pad(image):
+                    image = image.permute((2,0,1))#HWC to CHW
+                    padded = padfunc(image.to(dtype=torch.float32))
+                    return padded.permute((1,2,0))
+                images = map(pad, images)
+                new_dims = (-first_image.shape[1] % dim_alignment + first_image.shape[1],
+                            -first_image.shape[0] % dim_alignment + first_image.shape[0])
+                dimensions = f"{new_dims[0]}x{new_dims[1]}"
+                logger.warn("Output images were not of valid resolution and have had padding applied")
+            else:
+                dimensions = f"{first_image.shape[1]}x{first_image.shape[0]}"
+            if loop_count > 0:
+                loop_args = ["-vf", "loop=loop=" + str(loop_count)+":size=" + str(num_frames)]
+            else:
+                loop_args = []
+            if pingpong:
+                if meta_batch is not None:
+                    logger.error("pingpong is incompatible with batched output")
+                images = to_pingpong(images)
+            if video_format.get('input_color_depth', '8bit') == '16bit':
+                images = map(tensor_to_shorts, images)
+                if has_alpha:
+                    i_pix_fmt = 'rgba64'
+                else:
+                    i_pix_fmt = 'rgb48'
+            else:
+                images = map(tensor_to_bytes, images)
+                if has_alpha:
+                    i_pix_fmt = 'rgba'
+                else:
+                    i_pix_fmt = 'rgb24'
+            file = f"{filename}_{counter:05}.{video_format['extension']}"
+            file_path = os.path.join(full_output_folder, file)
+            bitrate_arg = []
+            bitrate = video_format.get('bitrate')
+            if bitrate is not None:
+                bitrate_arg = ["-b:v", str(bitrate) + "M" if video_format.get('megabit') == 'True' else str(bitrate) + "K"]
+            args = [ffmpeg_path, "-v", "error", "-f", "rawvideo", "-pix_fmt", i_pix_fmt,
+                    "-s", dimensions, "-r", str(frame_rate), "-i", "-"] \
+                    + loop_args
+
+            images = map(lambda x: x.tobytes(), images)
+            env=os.environ.copy()
+            if  "environment" in video_format:
+                env.update(video_format["environment"])
+
+            if "pre_pass" in video_format:
+                if meta_batch is not None:
+                    #Performing a prepass requires keeping access to all frames.
+                    #Potential solutions include keeping just output frames in
+                    #memory or using 3 passes with intermediate file, but
+                    #very long gifs probably shouldn't be encouraged
+                    raise Exception("Formats which require a pre_pass are incompatible with Batch Manager.")
+                images = [b''.join(images)]
+                os.makedirs(folder_paths.get_temp_directory(), exist_ok=True)
+                pre_pass_args = args[:13] + video_format['pre_pass']
+                try:
+                    subprocess.run(pre_pass_args, input=images[0], env=env,
+                                   capture_output=True, check=True)
+                except subprocess.CalledProcessError as e:
+                    raise Exception("An error occurred in the ffmpeg prepass:\n" \
+                            + e.stderr.decode("utf-8"))
+            if "inputs_main_pass" in video_format:
+                args = args[:13] + video_format['inputs_main_pass'] + args[13:]
+
+            if output_process is None:
+                if 'gifski_pass' in video_format:
+                    output_process = gifski_process(args, video_format, file_path, env)
+                else:
+                    args += video_format['main_pass'] + bitrate_arg
+                    output_process = ffmpeg_process(args, video_format, video_metadata, file_path, env)
+                #Proceed to first yield
+                output_process.send(None)
+                if meta_batch is not None:
+                    meta_batch.outputs[unique_id] = (counter, output_process)
+
+            for image in images:
+                pbar.update(1)
+                output_process.send(image)
+            if meta_batch is not None:
+                requeue_workflow((meta_batch.unique_id, not meta_batch.has_closed_inputs))
+            if meta_batch is None or meta_batch.has_closed_inputs:
+                #Close pipe and wait for termination.
+                try:
+                    total_frames_output = output_process.send(None)
+                    output_process.send(None)
+                except StopIteration:
+                    pass
+                if meta_batch is not None:
+                    meta_batch.outputs.pop(unique_id)
+                    if len(meta_batch.outputs) == 0:
+                        meta_batch.reset()
+            else:
+                #batch is unfinished
+                #TODO: Check if empty output breaks other custom nodes
+                return {"ui": {"unfinished_batch": [True]}, "result": ((save_output, []),)}
+
+            output_files.append(file_path)
+
+
+            a_waveform = None
+            if audio is not None:
+                try:
+                    #safely check if audio produced by VHS_LoadVideo actually exists
+                    a_waveform = audio['waveform']
+                except:
+                    pass
+            if a_waveform is not None:
+                # Create audio file if input was provided
+                output_file_with_audio = f"{filename}_{counter:05}-audio.{video_format['extension']}"
+                output_file_with_audio_path = os.path.join(full_output_folder, output_file_with_audio)
+                if "audio_pass" not in video_format:
+                    logger.warn("Selected video format does not have explicit audio support")
+                    video_format["audio_pass"] = ["-c:a", "libopus"]
+
+
+                # FFmpeg command with audio re-encoding
+                #TODO: expose audio quality options if format widgets makes it in
+                #Reconsider forcing apad/shortest
+                channels = audio['waveform'].size(1)
+                min_audio_dur = total_frames_output / frame_rate + 1
+                mux_args = [ffmpeg_path, "-v", "error", "-n", "-i", file_path,
+                            "-ar", str(audio['sample_rate']), "-ac", str(channels),
+                            "-f", "f32le", "-i", "-", "-c:v", "copy"] \
+                            + video_format["audio_pass"] \
+                            + ["-af", "apad=whole_dur="+str(min_audio_dur),
+                               "-shortest", output_file_with_audio_path]
+
+                audio_data = audio['waveform'].squeeze(0).transpose(0,1) \
+                        .numpy().tobytes()
+                try:
+                    res = subprocess.run(mux_args, input=audio_data,
+                                         env=env, capture_output=True, check=True)
+                except subprocess.CalledProcessError as e:
+                    raise Exception("An error occured in the ffmpeg subprocess:\n" \
+                            + e.stderr.decode("utf-8"))
+                if res.stderr:
+                    print(res.stderr.decode("utf-8"), end="", file=sys.stderr)
+                output_files.append(output_file_with_audio_path)
+                #Return this file with audio to the webui.
+                #It will be muted unless opened or saved with right click
+                file = output_file_with_audio
+
+        previews = [
+            {
+                "filename": file,
+                "subfolder": subfolder,
+                "type": "output" if save_output else "temp",
+                "format": format,
+                "frame_rate": frame_rate,
+            }
+        ]
+        if num_frames == 1 and 'png' in format and '%03d' in file:
+            previews[0]['format'] = 'image/png'
+            previews[0]['filename'] = file.replace('%03d', '001')
+        return {"ui": {"gifs": previews}, "result": ((save_output, output_files),)}
+    @classmethod
+    def VALIDATE_INPUTS(self, format, **kwargs):
+        return True
+
+class LoadAudio:
+    @classmethod
+    def INPUT_TYPES(s):
+        #Hide ffmpeg formats if ffmpeg isn't available
+        return {
+            "required": {
+                "audio_file": ("STRING", {"default": "input/", "vhs_path_extensions": ['wav','mp3','ogg','m4a','flac']}),
+                },
+            "optional" : {"seek_seconds": ("FLOAT", {"default": 0, "min": 0})}
+        }
+
+    RETURN_TYPES = ("AUDIO",)
+    RETURN_NAMES = ("audio",)
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/audio"
+    FUNCTION = "load_audio"
+    def load_audio(self, audio_file, seek_seconds):
+        audio_file = strip_path(audio_file)
+        if audio_file is None or validate_path(audio_file) != True:
+            raise Exception("audio_file is not a valid path: " + audio_file)
+        if is_url(audio_file):
+            audio_file = try_download_video(audio_file) or audio_file
+        #Eagerly fetch the audio since the user must be using it if the
+        #node executes, unlike Load Video
+        return (get_audio(audio_file, start_time=seek_seconds),)
+
+    @classmethod
+    def IS_CHANGED(s, audio_file, seek_seconds):
+        return hash_path(audio_file)
+
+    @classmethod
+    def VALIDATE_INPUTS(s, audio_file, **kwargs):
+        return validate_path(audio_file, allow_none=True)
+
+class LoadAudioUpload:
+    @classmethod
+    def INPUT_TYPES(s):
+        input_dir = folder_paths.get_input_directory()
+        files = []
+        for f in os.listdir(input_dir):
+            if os.path.isfile(os.path.join(input_dir, f)):
+                file_parts = f.split('.')
+                if len(file_parts) > 1 and (file_parts[-1] in audio_extensions):
+                    files.append(f)
+        return {"required": {
+                    "audio": (sorted(files),),
+                    "start_time": ("FLOAT" , {"default": 0, "min": 0, "max": 10000000, "step": 0.01}),
+                    "duration": ("FLOAT" , {"default": 0, "min": 0, "max": 10000000, "step": 0.01}),
+                     },
+                }
+
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/audio"
+
+    RETURN_TYPES = ("AUDIO", )
+    RETURN_NAMES = ("audio",)
+    FUNCTION = "load_audio"
+
+    def load_audio(self, start_time, duration, **kwargs):
+        audio_file = folder_paths.get_annotated_filepath(strip_path(kwargs['audio']))
+        if audio_file is None or validate_path(audio_file) != True:
+            raise Exception("audio_file is not a valid path: " + audio_file)
+        
+        return (get_audio(audio_file, start_time, duration),)
+
+    @classmethod
+    def IS_CHANGED(s, audio, start_time, duration):
+        audio_file = folder_paths.get_annotated_filepath(strip_path(audio))
+        return hash_path(audio_file)
+
+    @classmethod
+    def VALIDATE_INPUTS(s, audio, **kwargs):
+        audio_file = folder_paths.get_annotated_filepath(strip_path(audio))
+        return validate_path(audio_file, allow_none=True)
+class AudioToVHSAudio:
+    """Legacy method for external nodes that utilized VHS_AUDIO,
+    VHS_AUDIO is deprecated as a format and should no longer be used"""
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"audio": ("AUDIO",)}}
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/audio"
+
+    RETURN_TYPES = ("VHS_AUDIO", )
+    RETURN_NAMES = ("vhs_audio",)
+    FUNCTION = "convert_audio"
+
+    def convert_audio(self, audio):
+        ar = str(audio['sample_rate'])
+        ac = str(audio['waveform'].size(1))
+        mux_args = [ffmpeg_path, "-f", "f32le", "-ar", ar, "-ac", ac,
+                    "-i", "-", "-f", "wav", "-"]
+
+        audio_data = audio['waveform'].squeeze(0).transpose(0,1) \
+                .numpy().tobytes()
+        try:
+            res = subprocess.run(mux_args, input=audio_data,
+                                 capture_output=True, check=True)
+        except subprocess.CalledProcessError as e:
+            raise Exception("An error occured in the ffmpeg subprocess:\n" \
+                    + e.stderr.decode("utf-8"))
+        if res.stderr:
+            print(res.stderr.decode("utf-8"), end="", file=sys.stderr)
+        return (lambda: res.stdout,)
+
+class VHSAudioToAudio:
+    """Legacy method for external nodes that utilized VHS_AUDIO,
+    VHS_AUDIO is deprecated as a format and should no longer be used"""
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"vhs_audio": ("VHS_AUDIO",)}}
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢/audio"
+
+    RETURN_TYPES = ("AUDIO", )
+    RETURN_NAMES = ("audio",)
+    FUNCTION = "convert_audio"
+
+    def convert_audio(self, vhs_audio):
+        if not vhs_audio or not vhs_audio():
+            raise Exception("audio input is not valid")
+        args = [ffmpeg_path, "-i", '-']
+        try:
+            res =  subprocess.run(args + ["-f", "f32le", "-"], input=vhs_audio(),
+                                  capture_output=True, check=True)
+            audio = torch.frombuffer(bytearray(res.stdout), dtype=torch.float32)
+        except subprocess.CalledProcessError as e:
+            raise Exception("An error occured in the ffmpeg subprocess:\n" \
+                    + e.stderr.decode("utf-8"))
+        match = re.search(', (\\d+) Hz, (\\w+), ',res.stderr.decode('utf-8'))
+        if match:
+            ar = int(match.group(1))
+            #NOTE: Just throwing an error for other channel types right now
+            #Will deal with issues if they come
+            ac = {"mono": 1, "stereo": 2}[match.group(2)]
+        else:
+            ar = 44100
+            ac = 2
+        audio = audio.reshape((-1,ac)).transpose(0,1).unsqueeze(0)
+        return ({'waveform': audio, 'sample_rate': ar},)
+
+class PruneOutputs:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "filenames": ("VHS_FILENAMES",),
+                    "options": (["Intermediate", "Intermediate and Utility"],)
+                    }
+                }
+
+    RETURN_TYPES = ()
+    OUTPUT_NODE = True
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+    FUNCTION = "prune_outputs"
+
+    def prune_outputs(self, filenames, options):
+        if len(filenames[1]) == 0:
+            return ()
+        assert(len(filenames[1]) <= 3 and len(filenames[1]) >= 2)
+        delete_list = []
+        if options in ["Intermediate", "Intermediate and Utility", "All"]:
+            delete_list += filenames[1][1:-1]
+        if options in ["Intermediate and Utility", "All"]:
+            delete_list.append(filenames[1][0])
+        if options in ["All"]:
+            delete_list.append(filenames[1][-1])
+
+        output_dirs = [os.path.abspath("output"), os.path.abspath("temp")]
+        for file in delete_list:
+            #Check that path is actually an output directory
+            if (os.path.commonpath([output_dirs[0], file]) != output_dirs[0]) \
+                    and (os.path.commonpath([output_dirs[1], file]) != output_dirs[1]):
+                        raise Exception("Tried to prune output from invalid directory: " + file)
+            if os.path.exists(file):
+                os.remove(file)
+        return ()
+
+class BatchManager:
+    def __init__(self, frames_per_batch=-1):
+        self.frames_per_batch = frames_per_batch
+        self.inputs = {}
+        self.outputs = {}
+        self.unique_id = None
+        self.has_closed_inputs = False
+        self.total_frames = float('inf')
+    def reset(self):
+        self.close_inputs()
+        for key in self.outputs:
+            if getattr(self.outputs[key][-1], "gi_suspended", False):
+                try:
+                    self.outputs[key][-1].send(None)
+                except StopIteration:
+                    pass
+        self.__init__(self.frames_per_batch)
+    def has_open_inputs(self):
+        return len(self.inputs) > 0
+    def close_inputs(self):
+        for key in self.inputs:
+            if getattr(self.inputs[key][-1], "gi_suspended", False):
+                try:
+                    self.inputs[key][-1].send(1)
+                except StopIteration:
+                    pass
+        self.inputs = {}
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "frames_per_batch": ("INT", {"default": 16, "min": 1, "max": 128, "step": 1})
+                    },
+                "hidden": {
+                    "prompt": "PROMPT",
+                    "unique_id": "UNIQUE_ID"
+                },
+                }
+
+    RETURN_TYPES = ("VHS_BatchManager",)
+    RETURN_NAMES = ("meta_batch",)
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+    FUNCTION = "update_batch"
+
+    def update_batch(self, frames_per_batch, prompt=None, unique_id=None):
+        if unique_id is not None and prompt is not None:
+            requeue = prompt[unique_id]['inputs'].get('requeue', 0)
+        else:
+            requeue = 0
+        if requeue == 0:
+            self.reset()
+            self.frames_per_batch = frames_per_batch
+            self.unique_id = unique_id
+        else:
+            num_batches = (self.total_frames+self.frames_per_batch-1)//frames_per_batch
+            print(f'Meta-Batch {requeue}/{num_batches}')
+        #onExecuted seems to not be called unless some message is sent
+        return (self,)
+
+
+class VideoInfo:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "video_info": ("VHS_VIDEOINFO",),
+                    }
+                }
+
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+
+    RETURN_TYPES = ("FLOAT","INT", "FLOAT", "INT", "INT", "FLOAT","INT", "FLOAT", "INT", "INT")
+    RETURN_NAMES = (
+        "source_fps🟨",
+        "source_frame_count🟨",
+        "source_duration🟨",
+        "source_width🟨",
+        "source_height🟨",
+        "loaded_fps🟦",
+        "loaded_frame_count🟦",
+        "loaded_duration🟦",
+        "loaded_width🟦",
+        "loaded_height🟦",
+    )
+    FUNCTION = "get_video_info"
+
+    def get_video_info(self, video_info):
+        keys = ["fps", "frame_count", "duration", "width", "height"]
+        
+        source_info = []
+        loaded_info = []
+
+        for key in keys:
+            source_info.append(video_info[f"source_{key}"])
+            loaded_info.append(video_info[f"loaded_{key}"])
+
+        return (*source_info, *loaded_info)
+
+
+class VideoInfoSource:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "video_info": ("VHS_VIDEOINFO",),
+                    }
+                }
+
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+
+    RETURN_TYPES = ("FLOAT","INT", "FLOAT", "INT", "INT",)
+    RETURN_NAMES = (
+        "fps🟨",
+        "frame_count🟨",
+        "duration🟨",
+        "width🟨",
+        "height🟨",
+    )
+    FUNCTION = "get_video_info"
+
+    def get_video_info(self, video_info):
+        keys = ["fps", "frame_count", "duration", "width", "height"]
+        
+        source_info = []
+
+        for key in keys:
+            source_info.append(video_info[f"source_{key}"])
+
+        return (*source_info,)
+
+
+class VideoInfoLoaded:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "video_info": ("VHS_VIDEOINFO",),
+                    }
+                }
+
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+
+    RETURN_TYPES = ("FLOAT","INT", "FLOAT", "INT", "INT",)
+    RETURN_NAMES = (
+        "fps🟦",
+        "frame_count🟦",
+        "duration🟦",
+        "width🟦",
+        "height🟦",
+    )
+    FUNCTION = "get_video_info"
+
+    def get_video_info(self, video_info):
+        keys = ["fps", "frame_count", "duration", "width", "height"]
+        
+        loaded_info = []
+
+        for key in keys:
+            loaded_info.append(video_info[f"loaded_{key}"])
+
+        return (*loaded_info,)
+
+class SelectFilename:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"filenames": ("VHS_FILENAMES",), "index": ("INT", {"default": -1, "step": 1, "min": -1})}}
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES =("Filename",)
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+    FUNCTION = "select_filename"
+
+    def select_filename(self, filenames, index):
+        return (filenames[1][index],)
+class Unbatch:
+    class Any(str):
+        def __ne__(self, other):
+            return False
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"batched": ("*",)}}
+    RETURN_TYPES = (Any('*'),)
+    INPUT_IS_LIST = True
+    RETURN_NAMES =("unbatched",)
+    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
+    FUNCTION = "unbatch"
+    EXPERIMENTAL = True
+    def unbatch(self, batched):
+        if isinstance(batched[0], torch.Tensor):
+            return (torch.cat(batched),)
+        if isinstance(batched[0], dict):
+            out = batched[0].copy()
+            out['samples'] = torch.cat([x['samples'] for x in batched])
+            out.pop('batch_index', None)
+            return (out,)
+        return (functools.reduce(lambda x,y: x+y, batched),)
+    @classmethod
+    def VALIDATE_INPUTS(cls, input_types):
+        return True
+
+NODE_CLASS_MAPPINGS = {
+    "VHS_VideoCombine": VideoCombine,
+    "VHS_LoadVideo": LoadVideoUpload,
+    "VHS_LoadVideoPath": LoadVideoPath,
+    "VHS_LoadImages": LoadImagesFromDirectoryUpload,
+    "VHS_LoadImagesPath": LoadImagesFromDirectoryPath,
+    "VHS_LoadAudio": LoadAudio,
+    "VHS_LoadAudioUpload": LoadAudioUpload,
+    "VHS_AudioToVHSAudio": AudioToVHSAudio,
+    "VHS_VHSAudioToAudio": VHSAudioToAudio,
+    "VHS_PruneOutputs": PruneOutputs,
+    "VHS_BatchManager": BatchManager,
+    "VHS_VideoInfo": VideoInfo,
+    "VHS_VideoInfoSource": VideoInfoSource,
+    "VHS_VideoInfoLoaded": VideoInfoLoaded,
+    "VHS_SelectFilename": SelectFilename,
+    # Batched Nodes
+    "VHS_VAEEncodeBatched": VAEEncodeBatched,
+    "VHS_VAEDecodeBatched": VAEDecodeBatched,
+    # Latent and Image nodes
+    "VHS_SplitLatents": SplitLatents,
+    "VHS_SplitImages": SplitImages,
+    "VHS_SplitMasks": SplitMasks,
+    "VHS_MergeLatents": MergeLatents,
+    "VHS_MergeImages": MergeImages,
+    "VHS_MergeMasks": MergeMasks,
+    "VHS_GetLatentCount": GetLatentCount,
+    "VHS_GetImageCount": GetImageCount,
+    "VHS_GetMaskCount": GetMaskCount,
+    "VHS_DuplicateLatents": RepeatLatents,
+    "VHS_DuplicateImages": RepeatImages,
+    "VHS_DuplicateMasks": RepeatMasks,
+    "VHS_SelectEveryNthLatent": SelectEveryNthLatent,
+    "VHS_SelectEveryNthImage": SelectEveryNthImage,
+    "VHS_SelectEveryNthMask": SelectEveryNthMask,
+    "VHS_SelectLatents": SelectLatents,
+    "VHS_SelectImages": SelectImages,
+    "VHS_SelectMasks": SelectMasks,
+    "VHS_Unbatch": Unbatch,
+}
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "VHS_VideoCombine": "Video Combine 🎥🅥🅗🅢",
+    "VHS_LoadVideo": "Load Video (Upload) 🎥🅥🅗🅢",
+    "VHS_LoadVideoPath": "Load Video (Path) 🎥🅥🅗🅢",
+    "VHS_LoadImages": "Load Images (Upload) 🎥🅥🅗🅢",
+    "VHS_LoadImagesPath": "Load Images (Path) 🎥🅥🅗🅢",
+    "VHS_LoadAudio": "Load Audio (Path)🎥🅥🅗🅢",
+    "VHS_LoadAudioUpload": "Load Audio (Upload)🎥🅥🅗🅢",
+    "VHS_AudioToVHSAudio": "Audio to legacy VHS_AUDIO🎥🅥🅗🅢",
+    "VHS_VHSAudioToAudio": "Legacy VHS_AUDIO to Audio🎥🅥🅗🅢",
+    "VHS_PruneOutputs": "Prune Outputs 🎥🅥🅗🅢",
+    "VHS_BatchManager": "Meta Batch Manager 🎥🅥🅗🅢",
+    "VHS_VideoInfo": "Video Info 🎥🅥🅗🅢",
+    "VHS_VideoInfoSource": "Video Info (Source) 🎥🅥🅗🅢",
+    "VHS_VideoInfoLoaded": "Video Info (Loaded) 🎥🅥🅗🅢",
+    "VHS_SelectFilename": "Select Filename 🎥🅥🅗🅢",
+    # Batched Nodes
+    "VHS_VAEEncodeBatched": "VAE Encode Batched 🎥🅥🅗🅢",
+    "VHS_VAEDecodeBatched": "VAE Decode Batched 🎥🅥🅗🅢",
+    # Latent and Image nodes
+    "VHS_SplitLatents": "Split Latents 🎥🅥🅗🅢",
+    "VHS_SplitImages": "Split Images 🎥🅥🅗🅢",
+    "VHS_SplitMasks": "Split Masks 🎥🅥🅗🅢",
+    "VHS_MergeLatents": "Merge Latents 🎥🅥🅗🅢",
+    "VHS_MergeImages": "Merge Images 🎥🅥🅗🅢",
+    "VHS_MergeMasks": "Merge Masks 🎥🅥🅗🅢",
+    "VHS_GetLatentCount": "Get Latent Count 🎥🅥🅗🅢",
+    "VHS_GetImageCount": "Get Image Count 🎥🅥🅗🅢",
+    "VHS_GetMaskCount": "Get Mask Count 🎥🅥🅗🅢",
+    "VHS_DuplicateLatents": "Repeat Latents 🎥🅥🅗🅢",
+    "VHS_DuplicateImages": "Repeat Images 🎥🅥🅗🅢",
+    "VHS_DuplicateMasks": "Repeat Masks 🎥🅥🅗🅢",
+    "VHS_SelectEveryNthLatent": "Select Every Nth Latent 🎥🅥🅗🅢",
+    "VHS_SelectEveryNthImage": "Select Every Nth Image 🎥🅥🅗🅢",
+    "VHS_SelectEveryNthMask": "Select Every Nth Mask 🎥🅥🅗🅢",
+    "VHS_SelectLatents": "Select Latents 🎥🅥🅗🅢",
+    "VHS_SelectImages": "Select Images 🎥🅥🅗🅢",
+    "VHS_SelectMasks": "Select Masks 🎥🅥🅗🅢",
+    "VHS_Unbatch":  "Unbatch 🎥🅥🅗🅢",
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/server.py b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/server.py
new file mode 100644
index 0000000000000000000000000000000000000000..03cd7bfb678a23cea72bcdfda83cdbb33713fff7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/server.py
@@ -0,0 +1,173 @@
+import server
+import folder_paths
+import os
+import time
+import subprocess
+import re
+from .utils import is_url, get_sorted_dir_files_from_directory, ffmpeg_path, validate_sequence, is_safe_path, strip_path, try_download_video
+from comfy.k_diffusion.utils import FolderOfImages
+
+web = server.web
+
+@server.PromptServer.instance.routes.get("/viewvideo")
+async def view_video(request):
+    query = request.rel_url.query
+    if "filename" not in query:
+        return web.Response(status=404)
+    filename = query["filename"]
+
+    #Path code misformats urls on windows and must be skipped
+    if is_url(filename):
+        file = filename
+        file = try_download_video(file) or file
+    else:
+        filename, output_dir = folder_paths.annotated_filepath(filename)
+
+        type = request.rel_url.query.get("type", "output")
+        if type == "path":
+            #special case for path_based nodes
+            #NOTE: output_dir may be empty, but non-None
+            output_dir, filename = os.path.split(strip_path(filename))
+        if output_dir is None:
+            output_dir = folder_paths.get_directory_by_type(type)
+
+        if output_dir is None:
+            return web.Response(status=400)
+
+        if not is_safe_path(output_dir):
+            return web.Response(status=403)
+
+        if "subfolder" in request.rel_url.query:
+            output_dir = os.path.join(output_dir, request.rel_url.query["subfolder"])
+
+        filename = os.path.basename(filename)
+        file = os.path.join(output_dir, filename)
+
+        if query.get('format', 'video') == 'folder':
+            if not os.path.isdir(file):
+                return web.Response(status=404)
+        else:
+            if not os.path.isfile(file) and not validate_sequence(file):
+                    return web.Response(status=404)
+
+    frame_rate = query.get('frame_rate', 8)
+    if query.get('format', 'video') == "folder":
+        #Check that folder contains some valid image file, get it's extension
+        #ffmpeg seems to not support list globs, so support for mixed extensions seems unfeasible
+        os.makedirs(folder_paths.get_temp_directory(), exist_ok=True)
+        concat_file = os.path.join(folder_paths.get_temp_directory(), "image_sequence_preview.txt")
+        skip_first_images = int(query.get('skip_first_images', 0))
+        select_every_nth = int(query.get('select_every_nth', 1))
+        valid_images = get_sorted_dir_files_from_directory(file, skip_first_images, select_every_nth, FolderOfImages.IMG_EXTENSIONS)
+        if len(valid_images) == 0:
+            return web.Response(status=400)
+        with open(concat_file, "w") as f:
+            f.write("ffconcat version 1.0\n")
+            for path in valid_images:
+                f.write("file '" + os.path.abspath(path) + "'\n")
+                f.write("duration 0.125\n")
+        in_args = ["-safe", "0", "-i", concat_file]
+    else:
+        in_args = ["-i", file]
+        if '%' in file:
+            in_args = ['-framerate', str(frame_rate)] + in_args
+    #Do prepass to pull info
+    #breaks skip_first frames if this default is ever actually needed
+    base_fps = 30
+    try:
+        res = subprocess.run([ffmpeg_path] + in_args + ['-t', '0', '-f', 'null', '-'],
+                             capture_output=True, check=True)
+        match = re.search(': Video: (\\w+) .+, (\\d+) fps,', res.stderr.decode('utf-8'))
+        if match:
+            base_fps = float(match.group(2))
+            if match.group(1) == 'vp9':
+                #force libvpx for transparency
+                in_args = ['-c:v', 'libvpx-vp9'] + in_args
+    except subprocess.CalledProcessError as e:
+        print("An error occurred in the ffmpeg prepass:\n" \
+                + e.stderr.decode("utf-8"))
+    args = [ffmpeg_path, "-v", "error"] + in_args
+    vfilters = []
+    target_rate = float(query.get('force_rate', 0)) or base_fps
+    modified_rate = target_rate / float(query.get('select_every_nth',1))
+    if int(query.get('skip_first_frames', 0)) > 0:
+        skip = float(query.get('skip_first_frames'))/target_rate
+        if skip > 1/modified_rate:
+            skip += 1/modified_rate
+            pass
+        args += ["-ss", str(skip)]
+    if int(query.get('force_rate',0)) != 0:
+        args += ['-r', str(modified_rate)]
+    if query.get('force_size','Disabled') != "Disabled":
+        size = query['force_size'].split('x')
+        if size[0] == '?' or size[1] == '?':
+            size[0] = "-2" if size[0] == '?' else f"'min({size[0]},iw)'"
+            size[1] = "-2" if size[1] == '?' else f"'min({size[1]},ih)'"
+        else:
+            #Aspect ratio is likely changed. A more complex command is required
+            #to crop the output to the new aspect ratio
+            ar = float(size[0])/float(size[1])
+            vfilters.append(f"crop=if(gt({ar}\\,a)\\,iw\\,ih*{ar}):if(gt({ar}\\,a)\\,iw/{ar}\\,ih)")
+        size = ':'.join(size)
+        vfilters.append(f"scale={size}")
+    if len(vfilters) > 0:
+        args += ["-vf", ",".join(vfilters)]
+    if int(query.get('frame_load_cap', 0)) > 0:
+        args += ["-frames:v", query['frame_load_cap']]
+    #TODO:reconsider adding high frame cap/setting default frame cap on node
+
+    args += ['-c:v', 'libvpx-vp9','-deadline', 'realtime', '-cpu-used', '8', '-f', 'webm', '-']
+
+    try:
+        with subprocess.Popen(args, stdout=subprocess.PIPE) as proc:
+            try:
+                resp = web.StreamResponse()
+                resp.content_type = 'video/webm'
+                resp.headers["Content-Disposition"] = f"filename=\"{filename}\""
+                await resp.prepare(request)
+                while True:
+                    bytes_read = proc.stdout.read()
+                    if bytes_read is None:
+                        #TODO: check for timeout here
+                        time.sleep(.1)
+                        continue
+                    if len(bytes_read) == 0:
+                        break
+                    await resp.write(bytes_read)
+            except ConnectionResetError as e:
+                #Kill ffmpeg before stdout closes
+                proc.kill()
+            except ConnectionError as e:
+                #Kill ffmpeg before stdout closes
+                proc.kill()
+
+    except BrokenPipeError as e:
+        pass
+    return resp
+
+@server.PromptServer.instance.routes.get("/getpath")
+async def get_path(request):
+    query = request.rel_url.query
+    if "path" not in query:
+        return web.Response(status=404)
+    #NOTE: path always ends in `/`, so this is functionally an lstrip
+    path = os.path.abspath(strip_path(query["path"]))
+
+    if not os.path.exists(path) or not is_safe_path(path):
+        return web.json_response([])
+
+    #Use get so None is default instead of keyerror
+    valid_extensions = query.get("extensions")
+    valid_items = []
+    for item in os.scandir(path):
+        try:
+            if item.is_dir():
+                valid_items.append(item.name + "/")
+                continue
+            if valid_extensions is None or item.name.split(".")[-1].lower() in valid_extensions:
+                valid_items.append(item.name)
+        except OSError:
+            #Broken symlinks can throw a very unhelpful "Invalid argument"
+            pass
+
+    return web.json_response(valid_items)
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/utils.py b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..3feb0aceccb63867fe35f0e50ad9b03c91329603
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/videohelpersuite/utils.py
@@ -0,0 +1,373 @@
+import hashlib
+import os
+from typing import Iterable
+import shutil
+import subprocess
+import re
+from collections.abc import Mapping
+from typing import Union
+import torch
+from torch import Tensor
+
+import server
+from .logger import logger
+import folder_paths
+
+BIGMIN = -(2**53-1)
+BIGMAX = (2**53-1)
+
+DIMMAX = 8192
+
+def ffmpeg_suitability(path):
+    try:
+        version = subprocess.run([path, "-version"], check=True,
+                                 capture_output=True).stdout.decode("utf-8")
+    except:
+        return 0
+    score = 0
+    #rough layout of the importance of various features
+    simple_criterion = [("libvpx", 20),("264",10), ("265",3),
+                        ("svtav1",5),("libopus", 1)]
+    for criterion in simple_criterion:
+        if version.find(criterion[0]) >= 0:
+            score += criterion[1]
+    #obtain rough compile year from copyright information
+    copyright_index = version.find('2000-2')
+    if copyright_index >= 0:
+        copyright_year = version[copyright_index+6:copyright_index+9]
+        if copyright_year.isnumeric():
+            score += int(copyright_year)
+    return score
+
+class ImageOrLatent(str):
+    def __ne__(self, other):
+        return not (other == "IMAGE" or other == "LATENT" or other == "*")
+imageOrLatent = ImageOrLatent("IMAGE")
+
+if "VHS_FORCE_FFMPEG_PATH" in os.environ:
+    ffmpeg_path = os.environ.get("VHS_FORCE_FFMPEG_PATH")
+else:
+    ffmpeg_paths = []
+    try:
+        from imageio_ffmpeg import get_ffmpeg_exe
+        imageio_ffmpeg_path = get_ffmpeg_exe()
+        ffmpeg_paths.append(imageio_ffmpeg_path)
+    except:
+        if "VHS_USE_IMAGEIO_FFMPEG" in os.environ:
+            raise
+        logger.warn("Failed to import imageio_ffmpeg")
+    if "VHS_USE_IMAGEIO_FFMPEG" in os.environ:
+        ffmpeg_path = imageio_ffmpeg_path
+    else:
+        system_ffmpeg = shutil.which("ffmpeg")
+        if system_ffmpeg is not None:
+            ffmpeg_paths.append(system_ffmpeg)
+        if os.path.isfile("ffmpeg"):
+            ffmpeg_paths.append(os.path.abspath("ffmpeg"))
+        if os.path.isfile("ffmpeg.exe"):
+            ffmpeg_paths.append(os.path.abspath("ffmpeg.exe"))
+        if len(ffmpeg_paths) == 0:
+            logger.error("No valid ffmpeg found.")
+            ffmpeg_path = None
+        elif len(ffmpeg_paths) == 1:
+            #Evaluation of suitability isn't required, can take sole option
+            #to reduce startup time
+            ffmpeg_path = ffmpeg_paths[0]
+        else:
+            ffmpeg_path = max(ffmpeg_paths, key=ffmpeg_suitability)
+gifski_path = os.environ.get("VHS_GIFSKI", None)
+if gifski_path is None:
+    gifski_path = os.environ.get("JOV_GIFSKI", None)
+    if gifski_path is None:
+        gifski_path = shutil.which("gifski")
+ytdl_path = os.environ.get("VHS_YTDL", None) or shutil.which('yt-dlp') \
+        or shutil.which('youtube-dl')
+download_history = {}
+def try_download_video(url):
+    if ytdl_path is None:
+        return None
+    if url in download_history:
+        return download_history[url]
+    os.makedirs(folder_paths.get_temp_directory(), exist_ok=True)
+    #Format information could be added to only download audio for Load Audio,
+    #but this gets hairy if same url is also used for video.
+    #Best to just always keep defaults
+    #dl_format = ['-f', 'ba'] if is_audio else []
+    try:
+        res = subprocess.run([ytdl_path, "--print", "after_move:filepath",
+                              "-P", folder_paths.get_temp_directory(), url],
+                             capture_output=True, check=True)
+        #strip newline
+        file = res.stdout.decode('utf-8')[:-1]
+    except subprocess.CalledProcessError as e:
+        raise Exception("An error occurred in the yt-dl process:\n" \
+                + e.stderr.decode("utf-8"))
+        file = None
+    download_history[url] = file
+    return file
+
+def is_safe_path(path):
+    if "VHS_STRICT_PATHS" not in os.environ:
+        return True
+    basedir = os.path.abspath('.')
+    try:
+        common_path = os.path.commonpath([basedir, path])
+    except:
+        #Different drive on windows
+        return False
+    return common_path == basedir
+
+def get_sorted_dir_files_from_directory(directory: str, skip_first_images: int=0, select_every_nth: int=1, extensions: Iterable=None):
+    directory = strip_path(directory)
+    dir_files = os.listdir(directory)
+    dir_files = sorted(dir_files)
+    dir_files = [os.path.join(directory, x) for x in dir_files]
+    dir_files = list(filter(lambda filepath: os.path.isfile(filepath), dir_files))
+    # filter by extension, if needed
+    if extensions is not None:
+        extensions = list(extensions)
+        new_dir_files = []
+        for filepath in dir_files:
+            ext = "." + filepath.split(".")[-1]
+            if ext.lower() in extensions:
+                new_dir_files.append(filepath)
+        dir_files = new_dir_files
+    # start at skip_first_images
+    dir_files = dir_files[skip_first_images:]
+    dir_files = dir_files[0::select_every_nth]
+    return dir_files
+
+
+# modified from https://stackoverflow.com/questions/22058048/hashing-a-file-in-python
+def calculate_file_hash(filename: str, hash_every_n: int = 1):
+    #Larger video files were taking >.5 seconds to hash even when cached,
+    #so instead the modified time from the filesystem is used as a hash
+    h = hashlib.sha256()
+    h.update(filename.encode())
+    h.update(str(os.path.getmtime(filename)).encode())
+    return h.hexdigest()
+
+prompt_queue = server.PromptServer.instance.prompt_queue
+def requeue_workflow_unchecked():
+    """Requeues the current workflow without checking for multiple requeues"""
+    currently_running = prompt_queue.currently_running
+    (_, _, prompt, extra_data, outputs_to_execute) = next(iter(currently_running.values()))
+
+    #Ensure batch_managers are marked stale
+    prompt = prompt.copy()
+    for uid in prompt:
+        if prompt[uid]['class_type'] == 'VHS_BatchManager':
+            prompt[uid]['inputs']['requeue'] = prompt[uid]['inputs'].get('requeue',0)+1
+
+    #execution.py has guards for concurrency, but server doesn't.
+    #TODO: Check that this won't be an issue
+    number = -server.PromptServer.instance.number
+    server.PromptServer.instance.number += 1
+    prompt_id = str(server.uuid.uuid4())
+    prompt_queue.put((number, prompt_id, prompt, extra_data, outputs_to_execute))
+
+requeue_guard = [None, 0, 0, {}]
+def requeue_workflow(requeue_required=(-1,True)):
+    assert(len(prompt_queue.currently_running) == 1)
+    global requeue_guard
+    (run_number, _, prompt, _, _) = next(iter(prompt_queue.currently_running.values()))
+    if requeue_guard[0] != run_number:
+        #Calculate a count of how many outputs are managed by a batch manager
+        managed_outputs=0
+        for bm_uid in prompt:
+            if prompt[bm_uid]['class_type'] == 'VHS_BatchManager':
+                for output_uid in prompt:
+                    if prompt[output_uid]['class_type'] in ["VHS_VideoCombine"]:
+                        for inp in prompt[output_uid]['inputs'].values():
+                            if inp == [bm_uid, 0]:
+                                managed_outputs+=1
+        requeue_guard = [run_number, 0, managed_outputs, {}]
+    requeue_guard[1] = requeue_guard[1]+1
+    requeue_guard[3][requeue_required[0]] = requeue_required[1]
+    if requeue_guard[1] == requeue_guard[2] and max(requeue_guard[3].values()):
+        requeue_workflow_unchecked()
+
+def get_audio(file, start_time=0, duration=0):
+    args = [ffmpeg_path, "-i", file]
+    if start_time > 0:
+        args += ["-ss", str(start_time)]
+    if duration > 0:
+        args += ["-t", str(duration)]
+    try:
+        #TODO: scan for sample rate and maintain
+        res =  subprocess.run(args + ["-f", "f32le", "-"],
+                              capture_output=True, check=True)
+        audio = torch.frombuffer(bytearray(res.stdout), dtype=torch.float32)
+        match = re.search(', (\\d+) Hz, (\\w+), ',res.stderr.decode('utf-8'))
+    except subprocess.CalledProcessError as e:
+        raise Exception(f"VHS failed to extract audio from {file}:\n" \
+                + e.stderr.decode("utf-8"))
+    if match:
+        ar = int(match.group(1))
+        #NOTE: Just throwing an error for other channel types right now
+        #Will deal with issues if they come
+        ac = {"mono": 1, "stereo": 2}[match.group(2)]
+    else:
+        ar = 44100
+        ac = 2
+    audio = audio.reshape((-1,ac)).transpose(0,1).unsqueeze(0)
+    return {'waveform': audio, 'sample_rate': ar}
+
+class LazyAudioMap(Mapping):
+    def __init__(self, file, start_time, duration):
+        self.file = file
+        self.start_time=start_time
+        self.duration=duration
+        self._dict=None
+    def __getitem__(self, key):
+        if self._dict is None:
+            self._dict = get_audio(self.file, self.start_time, self.duration)
+        return self._dict[key]
+    def __iter__(self):
+        if self._dict is None:
+            self._dict = get_audio(self.file, self.start_time, self.duration)
+        return iter(self._dict)
+    def __len__(self):
+        if self._dict is None:
+            self._dict = get_audio(self.file, self.start_time, self.duration)
+        return len(self._dict)
+def lazy_get_audio(file, start_time=0, duration=0):
+    return LazyAudioMap(file, start_time, duration)
+
+def is_url(url):
+    return url.split("://")[0] in ["http", "https"]
+
+def validate_sequence(path):
+    #Check if path is a valid ffmpeg sequence that points to at least one file
+    (path, file) = os.path.split(path)
+    if not os.path.isdir(path):
+        return False
+    match = re.search('%0?\\d+d', file)
+    if not match:
+        return False
+    seq = match.group()
+    if seq == '%d':
+        seq = '\\\\d+'
+    else:
+        seq = '\\\\d{%s}' % seq[1:-1]
+    file_matcher = re.compile(re.sub('%0?\\d+d', seq, file))
+    for file in os.listdir(path):
+        if file_matcher.fullmatch(file):
+            return True
+    return False
+
+def strip_path(path):
+    #This leaves whitespace inside quotes and only a single "
+    #thus ' ""test"' -> '"test'
+    #consider path.strip(string.whitespace+"\"")
+    #or weightier re.fullmatch("[\\s\"]*(.+?)[\\s\"]*", path).group(1)
+    path = path.strip()
+    if path.startswith("\""):
+        path = path[1:]
+    if path.endswith("\""):
+        path = path[:-1]
+    return path
+def hash_path(path):
+    if path is None:
+        return "input"
+    if is_url(path):
+        return "url"
+    return calculate_file_hash(strip_path(path))
+
+
+def validate_path(path, allow_none=False, allow_url=True):
+    if path is None:
+        return allow_none
+    if is_url(path):
+        #Probably not feasible to check if url resolves here
+        if not allow_url:
+            return "URLs are unsupported for this path"
+        return is_safe_path(path)
+    if not os.path.isfile(strip_path(path)):
+        return "Invalid file path: {}".format(path)
+    return is_safe_path(path)
+
+
+def validate_index(index: int, length: int=0, is_range: bool=False, allow_negative=False, allow_missing=False) -> int:
+    # if part of range, do nothing
+    if is_range:
+        return index
+    # otherwise, validate index
+    # validate not out of range - only when latent_count is passed in
+    if length > 0 and index > length-1 and not allow_missing:
+        raise IndexError(f"Index '{index}' out of range for {length} item(s).")
+    # if negative, validate not out of range
+    if index < 0:
+        if not allow_negative:
+            raise IndexError(f"Negative indeces not allowed, but was '{index}'.")
+        conv_index = length+index
+        if conv_index < 0 and not allow_missing:
+            raise IndexError(f"Index '{index}', converted to '{conv_index}' out of range for {length} item(s).")
+        index = conv_index
+    return index
+
+
+def convert_to_index_int(raw_index: str, length: int=0, is_range: bool=False, allow_negative=False, allow_missing=False) -> int:
+    try:
+        return validate_index(int(raw_index), length=length, is_range=is_range, allow_negative=allow_negative, allow_missing=allow_missing)
+    except ValueError as e:
+        raise ValueError(f"Index '{raw_index}' must be an integer.", e)
+
+
+def convert_str_to_indexes(indexes_str: str, length: int=0, allow_missing=False) -> list[int]:
+    if not indexes_str:
+        return []
+    int_indexes = list(range(0, length))
+    allow_negative = length > 0
+    chosen_indexes = []
+    # parse string - allow positive ints, negative ints, and ranges separated by ':'
+    groups = indexes_str.split(",")
+    groups = [g.strip() for g in groups]
+    for g in groups:
+        # parse range of indeces (e.g. 2:16)
+        if ':' in g:
+            index_range = g.split(":", 2)
+            index_range = [r.strip() for r in index_range]
+
+            start_index = index_range[0]
+            if len(start_index) > 0:
+                start_index = convert_to_index_int(start_index, length=length, is_range=True, allow_negative=allow_negative, allow_missing=allow_missing)
+            else:
+                start_index = 0
+            end_index = index_range[1]
+            if len(end_index) > 0:
+                end_index = convert_to_index_int(end_index, length=length, is_range=True, allow_negative=allow_negative, allow_missing=allow_missing)
+            else:
+                end_index = length
+            # support step as well, to allow things like reversing, every-other, etc.
+            step = 1
+            if len(index_range) > 2:
+                step = index_range[2]
+                if len(step) > 0:
+                    step = convert_to_index_int(step, length=length, is_range=True, allow_negative=True, allow_missing=True)
+                else:
+                    step = 1
+            # if latents were passed in, base indeces on known latent count
+            if len(int_indexes) > 0:
+                chosen_indexes.extend(int_indexes[start_index:end_index][::step])
+            # otherwise, assume indeces are valid
+            else:
+                chosen_indexes.extend(list(range(start_index, end_index, step)))
+        # parse individual indeces
+        else:
+            chosen_indexes.append(convert_to_index_int(g, length=length, allow_negative=allow_negative, allow_missing=allow_missing))
+    return chosen_indexes
+
+
+def select_indexes(input_obj: Union[Tensor, list], idxs: list):
+    if type(input_obj) == Tensor:
+        return input_obj[idxs]
+    else:
+        return [input_obj[i] for i in idxs]
+
+
+def select_indexes_from_str(input_obj: Union[Tensor, list], indexes: str, err_if_missing=True, err_if_empty=True):
+    real_idxs = convert_str_to_indexes(indexes, len(input_obj), allow_missing=not err_if_missing)
+    if err_if_empty and len(real_idxs) == 0:
+        raise Exception(f"Nothing was selected based on indexes found in '{indexes}'.")
+    return select_indexes(input_obj, real_idxs)
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/web/js/VHS.core.js b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/web/js/VHS.core.js
new file mode 100644
index 0000000000000000000000000000000000000000..efdf62924a223a820fe037ce12f8be8a9e94b3bc
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/web/js/VHS.core.js
@@ -0,0 +1,1589 @@
+import { app } from '../../../scripts/app.js'
+import { api } from '../../../scripts/api.js'
+import { applyTextReplacements } from "../../../scripts/utils.js";
+
+function chainCallback(object, property, callback) {
+    if (object == undefined) {
+        //This should not happen.
+        console.error("Tried to add callback to non-existant object")
+        return;
+    }
+    if (property in object && object[property]) {
+        const callback_orig = object[property]
+        object[property] = function () {
+            const r = callback_orig.apply(this, arguments);
+            callback.apply(this, arguments);
+            return r
+        };
+    } else {
+        object[property] = callback;
+    }
+}
+
+function injectHidden(widget) {
+    widget.computeSize = (target_width) => {
+        if (widget.hidden) {
+            return [0, -4];
+        }
+        return [target_width, 20];
+    };
+    widget._type = widget.type
+    Object.defineProperty(widget, "type", {
+        set : function(value) {
+            widget._type = value;
+        },
+        get : function() {
+            if (widget.hidden) {
+                return "hidden";
+            }
+            return widget._type;
+        }
+    });
+}
+
+const convDict = {
+    VHS_LoadImages : ["directory", null, "image_load_cap", "skip_first_images", "select_every_nth"],
+    VHS_LoadImagesPath : ["directory", "image_load_cap", "skip_first_images", "select_every_nth"],
+    VHS_VideoCombine : ["frame_rate", "loop_count", "filename_prefix", "format", "pingpong", "save_image"],
+    VHS_LoadVideo : ["video", "force_rate", "force_size", "frame_load_cap", "skip_first_frames", "select_every_nth"],
+    VHS_LoadVideoPath : ["video", "force_rate", "force_size", "frame_load_cap", "skip_first_frames", "select_every_nth"],
+};
+const renameDict  = {VHS_VideoCombine : {save_output : "save_image"}}
+function useKVState(nodeType) {
+    chainCallback(nodeType.prototype, "onNodeCreated", function () {
+        chainCallback(this, "onConfigure", function(info) {
+            if (this.inputs) {
+                for (let i = 0; i < this.inputs.length; i++) {
+                    let dt = this?.getInputDataType(i)
+                    if (dt && this.inputs[i]?.type != dt && !(dt == "IMAGE" && this.inputs[i].type == "LATENT")) {
+                        this.inputs[i].type = dt
+                        console.warn("input type mismatch for " + this.title + " slot " + i)
+
+                    }
+                }
+            }
+            if (!this.widgets) {
+                //Node has no widgets, there is nothing to restore
+                return
+            }
+            if (typeof(info.widgets_values) != "object") {
+                //widgets_values is in some unknown inactionable format
+                return
+            }
+            let widgetDict = info.widgets_values
+            if (info.widgets_values.length) {
+                //widgets_values is in the old list format
+                if (this.type in convDict) {
+                    //widget does not have a conversion format provided
+                    let convList = convDict[this.type];
+                    if(info.widgets_values.length >= convList.length) {
+                        //has all required fields
+                        widgetDict = {}
+                        for (let i = 0; i < convList.length; i++) {
+                            if(!convList[i]) {
+                                //Element should not be processed (upload button on load image sequence)
+                                continue
+                            }
+                            widgetDict[convList[i]] = info.widgets_values[i];
+                        }
+                    } else {
+                        //widgets_values is missing elements marked as required
+                        //let it fall through to failure state
+                    }
+                }
+            }
+            if (widgetDict.length == undefined) {
+                for (let w of this.widgets) {
+                    if (w.name in widgetDict) {
+                        w.value = widgetDict[w.name];
+                    } else {
+                        //Check for a legacy name that needs migrating
+                        if (this.type in renameDict && w.name in renameDict[this.type]) {
+                            if (renameDict[this.type][w.name] in widgetDict) {
+                                w.value = widgetDict[renameDict[this.type][w.name]]
+                                continue
+                            }
+                        }
+                        //attempt to restore default value
+                        let inputs = LiteGraph.getNodeType(this.type).nodeData.input;
+                        let initialValue = null;
+                        if (inputs?.required?.hasOwnProperty(w.name)) {
+                            if (inputs.required[w.name][1]?.hasOwnProperty("default")) {
+                                initialValue = inputs.required[w.name][1].default;
+                            } else if (inputs.required[w.name][0].length) {
+                                initialValue = inputs.required[w.name][0][0];
+                            }
+                        } else if (inputs?.optional?.hasOwnProperty(w.name)) {
+                            if (inputs.optional[w.name][1]?.hasOwnProperty("default")) {
+                                initialValue = inputs.optional[w.name][1].default;
+                            } else if (inputs.optional[w.name][0].length) {
+                                initialValue = inputs.optional[w.name][0][0];
+                            }
+                        }
+                        if (initialValue) {
+                            w.value = initialValue;
+                        }
+                    }
+                }
+            } else {
+                //Saved data was not a map made by this method
+                //and a conversion dict for it does not exist
+                //It's likely an array and that has been blindly applied
+                if (info?.widgets_values?.length != this.widgets.length) {
+                    //Widget could not have restored properly
+                    //Note if multiple node loads fail, only the latest error dialog displays
+                    app.ui.dialog.show("Failed to restore node: " + this.title + "\nPlease remove and re-add it.")
+                    this.bgcolor = "#C00"
+                }
+            }
+        });
+        chainCallback(this, "onSerialize", function(info) {
+            info.widgets_values = {};
+            if (!this.widgets) {
+                //object has no widgets, there is nothing to store
+                return;
+            }
+            for (let w of this.widgets) {
+                info.widgets_values[w.name] = w.value;
+            }
+        });
+    })
+}
+var helpDOM;
+if (!app.helpDOM) {
+    helpDOM = document.createElement("div");
+    app.VHSHelp = helpDOM
+}
+function initHelpDOM() {
+    let parentDOM = document.createElement("div");
+    document.body.appendChild(parentDOM)
+    parentDOM.appendChild(helpDOM)
+    helpDOM.className = "litegraph";
+    let scrollbarStyle = document.createElement('style');
+    scrollbarStyle.innerHTML = `
+    <style id="scroll-properties">
+            * {
+                scrollbar-width: 6px;
+                scrollbar-color: #0003  #0000;
+            }
+            ::-webkit-scrollbar {
+                background: transparent;
+                width: 6px;
+            }
+            ::-webkit-scrollbar-thumb {
+                background: #0005;
+                border-radius: 20px
+            }
+            ::-webkit-scrollbar-button {
+                display: none;
+            }
+            .VHS_loopedvideo::-webkit-media-controls-mute-button {
+                display:none;
+            }
+            .VHS_loopedvideo::-webkit-media-controls-fullscreen-button {
+                display:none;
+            }
+        </style>
+    `
+    parentDOM.appendChild(scrollbarStyle)
+    chainCallback(app.canvas, "onDrawForeground", function (ctx, visible_rect){
+        let n = helpDOM.node
+        if (!n || !n?.graph) {
+            parentDOM.style['left'] = '-5000px'
+            return
+        }
+        //draw : function(ctx, node, widgetWidth, widgetY, height) {
+        //update widget position, even if off screen
+        const transform = ctx.getTransform();
+        const scale = app.canvas.ds.scale;//gets the litegraph zoom
+        //calculate coordinates with account for browser zoom
+        const bcr = app.canvas.canvas.getBoundingClientRect()
+        const x = transform.e*scale/transform.a + bcr.x;
+        const y = transform.f*scale/transform.a + bcr.y;
+        //TODO: text reflows at low zoom. investigate alternatives
+        Object.assign(parentDOM.style, {
+            left: (x+(n.pos[0] + n.size[0]+15)*scale) + "px",
+            top: (y+(n.pos[1]-LiteGraph.NODE_TITLE_HEIGHT)*scale) + "px",
+            width: "400px",
+            minHeight: "100px",
+            maxHeight: "600px",
+            overflowY: 'scroll',
+            transformOrigin: '0 0',
+            transform: 'scale(' + scale + ',' + scale +')',
+            fontSize: '18px',
+            backgroundColor: LiteGraph.NODE_DEFAULT_BGCOLOR,
+            boxShadow: '0 0 10px black',
+            borderRadius: '4px',
+            padding: '3px',
+            zIndex: 3,
+            position: "absolute",
+            display: 'inline',
+        });
+    });
+    function setCollapse(el, doCollapse) {
+        if (doCollapse) {
+            el.children[0].children[0].innerHTML = '+'
+            Object.assign(el.children[1].style, {
+                color: '#CCC',
+                overflowX: 'hidden',
+                width: '0px',
+                minWidth: 'calc(100% - 20px)',
+                textOverflow: 'ellipsis',
+                whiteSpace: 'nowrap',
+            })
+            for (let child of el.children[1].children) {
+                if (child.style.display != 'none'){
+                    child.origDisplay = child.style.display
+                }
+                child.style.display = 'none'
+            }
+        } else {
+            el.children[0].children[0].innerHTML = '-'
+            Object.assign(el.children[1].style, {
+                color: '',
+                overflowX: '',
+                width: '100%',
+                minWidth: '',
+                textOverflow: '',
+                whiteSpace: '',
+            })
+            for (let child of el.children[1].children) {
+                child.style.display = child.origDisplay
+            }
+        }
+    }
+    helpDOM.collapseOnClick = function() {
+        let doCollapse = this.children[0].innerHTML == '-'
+        setCollapse(this.parentElement, doCollapse)
+    }
+    helpDOM.selectHelp = function(name, value) {
+        //attempt to navigate to name in help
+        function collapseUnlessMatch(items,t) {
+            var match = items.querySelector('[vhs_title="' + t + '"]')
+            if (!match) {
+                for (let i of items.children) {
+                    if (i.innerHTML.slice(0,t.length+5).includes(t)) {
+                        match = i
+                        break
+                    }
+                }
+            }
+            if (!match) {
+                return null
+            }
+            //For longer documentation items with fewer collapsable elements,
+            //scroll to make sure the entirety of the selected item is visible
+            //This has the unfortunate side effect of trying to scroll the main
+            //window if the documentation windows is forcibly offscreen,
+            //but it's easy to simply scroll the main window back and seems to
+            //have no visual side effects
+            match.scrollIntoView(false)
+            window.scrollTo(0,0)
+            for (let i of items.querySelectorAll('.VHS_collapse')) {
+                if (i.contains(match)) {
+                    setCollapse(i, false)
+                } else {
+                    setCollapse(i, true)
+                }
+            }
+            return match
+        }
+        let target = collapseUnlessMatch(helpDOM, name)
+        if (target && value) {
+            collapseUnlessMatch(target, value)
+        }
+    }
+    let titleContext = document.createElement("canvas").getContext("2d")
+    titleContext.font = app.canvas.title_text_font;
+    helpDOM.calculateTitleLength = function(text) {
+        return titleContext.measureText(text).width
+    }
+    helpDOM.addHelp = function(node, nodeType, description) {
+        if (!description) {
+            return
+        }
+        //Pad computed size for the clickable question mark
+        let originalComputeSize = node.computeSize
+        node.computeSize = function() {
+            let size = originalComputeSize.apply(this, arguments)
+            if (!this.title) {
+                return size
+            }
+            let title_width = helpDOM.calculateTitleLength(this.title)
+            size[0] = Math.max(size[0], title_width + LiteGraph.NODE_TITLE_HEIGHT*2)
+            return size
+        }
+
+        node.description = description
+        chainCallback(node, "onDrawForeground", function (ctx) {
+            if (this?.flags?.collapsed) {
+                return
+            }
+            //draw question mark
+            ctx.save()
+            ctx.font = 'bold 20px Arial'
+            ctx.fillText("?", this.size[0]-17, -8)
+            ctx.restore()
+        })
+        chainCallback(node, "onMouseDown", function (e, pos, canvas) {
+            if (this?.flags?.collapsed) {
+                return
+            }
+            //On click would be preferred, but this'll be good enough
+            if (pos[1] < 0 && pos[0] + LiteGraph.NODE_TITLE_HEIGHT > this.size[0]) {
+                //corner question mark clicked
+                if (helpDOM.node == this) {
+                    helpDOM.node = undefined
+                } else {
+                    helpDOM.node = this;
+                    helpDOM.innerHTML = this.description || "no help provided ".repeat(20)
+                    for (let e of helpDOM.querySelectorAll('.VHS_collapse')) {
+                        e.children[0].onclick = helpDOM.collapseOnClick
+                        e.children[0].style.cursor = 'pointer'
+                    }
+                    for (let e of helpDOM.querySelectorAll('.VHS_precollapse')) {
+                        setCollapse(e, true)
+                    }
+                    helpDOM.parentElement.scrollTo(0,0)
+                }
+                return true
+            }
+        })
+        let timeout = null
+        chainCallback(node, "onMouseMove", function (e, pos, canvas) {
+            if (timeout) {
+                clearTimeout(timeout)
+                timeout = null
+            }
+            if (helpDOM.node != this) {
+                return
+            }
+            timeout = setTimeout(() => {
+                let n = this
+                if (pos[0] > 0 && pos[0] < n.size[0]
+                    && pos[1] > 0 && pos[1] < n.size[1]) {
+                    //TODO: provide help specific to element clicked
+                    let inputRows = Math.max(n.inputs?.length || 0, n.outputs?.length || 0)
+                    if (pos[1] < LiteGraph.NODE_SLOT_HEIGHT * inputRows) {
+                        let row = Math.floor((pos[1] - 7) / LiteGraph.NODE_SLOT_HEIGHT)
+                        if (pos[0] < n.size[0]/2) {
+                            if (row < n.inputs.length) {
+                                helpDOM.selectHelp(n.inputs[row].name)
+                            }
+                        } else {
+                            if (row < n.outputs.length) {
+                                helpDOM.selectHelp(n.outputs[row].name)
+                            }
+                        }
+                    } else {
+                        //probably widget, but widgets have variable height.
+                        let basey = LiteGraph.NODE_SLOT_HEIGHT * inputRows + 6
+                        for (let w of n.widgets) {
+                            if (w.y) {
+                                basey = w.y
+                            }
+                            let wheight = LiteGraph.NODE_WIDGET_HEIGHT+4
+                            if (w.computeSize) {
+                                wheight = w.computeSize(n.size[0])[1]
+                            }
+                            if (pos[1] < basey + wheight) {
+                                helpDOM.selectHelp(w.name, w.value)
+                                break
+                            }
+                            basey += wheight
+                        }
+                    }
+                }
+            }, 500)
+        })
+        chainCallback(node, "onMouseLeave", function (e, pos, canvas) {
+            if (timeout) {
+                clearTimeout(timeout)
+                timeout = null
+            }
+        });
+    }
+}
+
+function fitHeight(node) {
+    node.setSize([node.size[0], node.computeSize([node.size[0], node.size[1]])[1]])
+    node?.graph?.setDirtyCanvas(true);
+}
+
+async function uploadFile(file) {
+    //TODO: Add uploaded file to cache with Cache.put()?
+    try {
+        // Wrap file in formdata so it includes filename
+        const body = new FormData();
+        const i = file.webkitRelativePath.lastIndexOf('/');
+        const subfolder = file.webkitRelativePath.slice(0,i+1)
+        const new_file = new File([file], file.name, {
+            type: file.type,
+            lastModified: file.lastModified,
+        });
+        body.append("image", new_file);
+        if (i > 0) {
+            body.append("subfolder", subfolder);
+        }
+        const resp = await api.fetchApi("/upload/image", {
+            method: "POST",
+            body,
+        });
+
+        if (resp.status === 200) {
+            return resp
+        } else {
+            alert(resp.status + " - " + resp.statusText);
+        }
+    } catch (error) {
+        alert(error);
+    }
+}
+function applyVHSAudioLinksFix(nodeType, nodeData, audio_slot) {
+    chainCallback(nodeType.prototype, "onConnectionsChange", function(contype, slot, iscon, linfo) {
+        if (contype == LiteGraph.OUTPUT && slot == audio_slot) {
+            if (linfo.type == "VHS_AUDIO") {
+                this.outputs[audio_slot].type = "AUDIO"
+                let tnode = app.graph._nodes_by_id[linfo.target_id]
+                let inputDef = LiteGraph.registered_node_types[tnode.type].nodeData?.input
+                let has_migrated = true
+                if (inputDef?.required) {
+                    for (let k in inputDef.required) {
+                        if (inputDef.required[k][0] == "VHS_AUDIO") {
+                            has_migrated = false
+                            break
+                        }
+                    }
+                }
+                if (has_migrated &&inputDef?.optional) {
+                    for (let k in inputDef.optional) {
+                        if (inputDef.optional[k][0] == "VHS_AUDIO") {
+                            has_migrated = false
+                            break
+                        }
+                    }
+                }
+                if (!has_migrated) {
+                    //need to add node and migrate
+                    app.ui.dialog.show("This workflow contains one or more nodes which use the old VHS_AUDIO format. They have been highlighted in red. An AudioToVHSAudio node must be added to convert to this legacy format")
+                    tnode.bgcolor = "#C00"
+                }
+            }
+        }
+    })
+}
+function addVAEOutputToggle(nodeType, nodeData) {
+    chainCallback(nodeType.prototype, "onConnectionsChange", function(contype, slot, iscon, linfo) {
+        if (contype == LiteGraph.INPUT && slot == 1 && this.inputs[1].type == "VAE") {
+            if (iscon && linfo) {
+                if (this.linkTimeout) {
+                    clearTimeout(this.linkTimeout)
+                    this.linkTimeout = false
+                } else if (this.outputs[0].type == "IMAGE") {
+                    this.linkTimeout = setTimeout(() => {
+                        this.linkTimeout = false
+                        this.disconnectOutput(0);
+                    }, 50)
+                }
+                this.outputs[0].name = 'LATENT';
+                this.outputs[0].type = 'LATENT';
+            } else{
+                if (this.outputs[0].type == "LATENT") {
+                    this.linkTimeout = setTimeout(() => {
+                        this.linkTimeout = false
+                        this.disconnectOutput(0);
+                    }, 50)
+                }
+                this.outputs[0].name = "IMAGE";
+                this.outputs[0].type = "IMAGE";
+            }
+        }
+    });
+}
+function addVAEInputToggle(nodeType, nodeData) {
+    chainCallback(nodeType.prototype, "onConnectionsChange", function(contype, slot, iscon, linf) {
+        if (contype == LiteGraph.INPUT && slot == 3 && this.inputs[3].type == "VAE") {
+            if (iscon && linf) {
+                if (this.linkTimeout) {
+                    clearTimeout(this.linkTimeout)
+                    this.linkTimeout = false
+                } else if (this.inputs[0].type == "IMAGE") {
+                    this.linkTimeout = setTimeout(() => {
+                        this.linkTimeout = false
+                        this.disconnectInput(0);
+                    }, 50)
+                }
+                this.inputs[0].type = 'LATENT';
+            } else {
+                if (this.inputs[0].type == "LATENT") {
+                    this.linkTimeout = setTimeout(() => {
+                        this.linkTimeout = false
+                        this.disconnectInput(0);
+                    }, 50)
+                }
+                this.inputs[0].type = "IMAGE";
+            }
+        }
+    });
+}
+function cloneType(nodeType, nodeData) {
+    nodeData.output[0] = "VHS_DUMMY_NONE"
+    chainCallback(nodeType.prototype, "onConnectionsChange", function(contype, slot, iscon, linf) {
+        if (contype == LiteGraph.INPUT && slot == 0) {
+            let new_type = "VHS_DUMMY_NONE"
+            if (iscon && linf) {
+                new_type = app.graph.getNodeById(linf.origin_id).outputs[linf.origin_slot].type
+            }
+            if (this.linkTimeout) {
+                clearTimeout(this.linkTimeout)
+                this.linkTimeout = false
+            }
+            this.linkTimeout = setTimeout(() => {
+                if (this.outputs[0].type != new_type) {
+                    this.outputs[0].type = new_type
+                    this.disconnectOutput(0);
+                }
+                this.linkTimeout = false
+            }, 50)
+        }
+    });
+}
+
+function addDateFormatting(nodeType, field, timestamp_widget = false) {
+    chainCallback(nodeType.prototype, "onNodeCreated", function() {
+        const widget = this.widgets.find((w) => w.name === field);
+        widget.serializeValue = () => {
+            return applyTextReplacements(app, widget.value);
+        };
+    });
+}
+function addTimestampWidget(nodeType, nodeData, targetWidget) {
+    const newWidgets = {};
+    for (let key in nodeData.input.required) {
+        if (key == targetWidget) {
+            //TODO: account for duplicate entries?
+            newWidgets["timestamp_directory"] = ["BOOLEAN", {"default": true}]
+        }
+        newWidgets[key] = nodeData.input.required[key];
+    }
+    nodeDta.input.required = newWidgets;
+    chainCallback(nodeType.prototype, "onNodeCreated", function () {
+        const directoryWidget = this.widgets.find((w) => w.name === "directory_name");
+        const timestampWidget = this.widgets.find((w) => w.name === "timestamp_directory");
+        directoryWidget.serializeValue = () => {
+            if (timestampWidget.value) {
+                //ignore actual value and return timestamp
+                return formatDate("yyyy-MM-ddThh:mm:ss", new Date());
+            }
+            return directoryWidget.value
+        };
+        timestampWidget._value = value;
+        Object.definteProperty(timestampWidget, "value", {
+            set : function(value) {
+                this._value = value;
+                directoryWidget.disabled = value;
+            },
+            get : function() {
+                return this._value;
+            }
+        });
+    });
+}
+
+function addCustomSize(nodeType, nodeData, widgetName) {
+    //Add a callback which sets up the actual logic once the node is created
+    chainCallback(nodeType.prototype, "onNodeCreated", function() {
+        const node = this;
+        const sizeOptionWidget = node.widgets.find((w) => w.name === widgetName);
+        const widthWidget = node.widgets.find((w) => w.name === "custom_width");
+        const heightWidget = node.widgets.find((w) => w.name === "custom_height");
+        injectHidden(widthWidget);
+        injectHidden(heightWidget);
+        sizeOptionWidget._value = sizeOptionWidget.value;
+        Object.defineProperty(sizeOptionWidget, "value", {
+            set : function(value) {
+                //TODO: Only modify hidden/reset size when a change occurs
+                if (value == "Custom Width") {
+                    widthWidget.hidden = false;
+                    heightWidget.hidden = true;
+                } else if (value == "Custom Height") {
+                    widthWidget.hidden = true;
+                    heightWidget.hidden = false;
+                } else if (value == "Custom") {
+                    widthWidget.hidden = false;
+                    heightWidget.hidden = false;
+                } else{
+                    widthWidget.hidden = true;
+                    heightWidget.hidden = true;
+                }
+                node.setSize([node.size[0], node.computeSize([node.size[0], node.size[1]])[1]])
+                this._value = value;
+            },
+            get : function() {
+                return this._value;
+            }
+        });
+        //Ensure proper visibility/size state for initial value
+        sizeOptionWidget.value = sizeOptionWidget._value;
+
+        sizeOptionWidget.serializePreview = function() {
+            if (this.value == "Custom Width") {
+                return widthWidget.value + "x?";
+            } else if (this.value == "Custom Height") {
+                return "?x" + heightWidget.value;
+            } else if (this.value == "Custom") {
+                return widthWidget.value + "x" + heightWidget.value;
+            } else {
+                return this.value;
+            }
+        };
+    });
+}
+function addUploadWidget(nodeType, nodeData, widgetName, type="video") {
+    chainCallback(nodeType.prototype, "onNodeCreated", function() {
+        const pathWidget = this.widgets.find((w) => w.name === widgetName);
+        const fileInput = document.createElement("input");
+        chainCallback(this, "onRemoved", () => {
+            fileInput?.remove();
+        });
+        if (type == "folder") {
+            Object.assign(fileInput, {
+                type: "file",
+                style: "display: none",
+                webkitdirectory: true,
+                onchange: async () => {
+                    const directory = fileInput.files[0].webkitRelativePath;
+                    const i = directory.lastIndexOf('/');
+                    if (i <= 0) {
+                        throw "No directory found";
+                    }
+                    const path = directory.slice(0,directory.lastIndexOf('/'))
+                    if (pathWidget.options.values.includes(path)) {
+                        alert("A folder of the same name already exists");
+                        return;
+                    }
+                    let successes = 0;
+                    for(const file of fileInput.files) {
+                        if ((await uploadFile(file)).status == 200) {
+                            successes++;
+                        } else {
+                            //Upload failed, but some prior uploads may have succeeded
+                            //Stop future uploads to prevent cascading failures
+                            //and only add to list if an upload has succeeded
+                            if (successes > 0) {
+                                break
+                            } else {
+                                return;
+                            }
+                        }
+                    }
+                    pathWidget.options.values.push(path);
+                    pathWidget.value = path;
+                    if (pathWidget.callback) {
+                        pathWidget.callback(path)
+                    }
+                },
+            });
+        } else if (type == "video") {
+            Object.assign(fileInput, {
+                type: "file",
+                accept: "video/webm,video/mp4,video/mkv,image/gif",
+                style: "display: none",
+                onchange: async () => {
+                    if (fileInput.files.length) {
+                        let resp = await uploadFile(fileInput.files[0])
+                        if (resp.status != 200) {
+                            //upload failed and file can not be added to options
+                            return;
+                        }
+                        const filename = (await resp.json()).name;
+                        pathWidget.options.values.push(filename);
+                        pathWidget.value = filename;
+                        if (pathWidget.callback) {
+                            pathWidget.callback(filename)
+                        }
+                    }
+                },
+            });
+        } else if (type == "audio") {
+            Object.assign(fileInput, {
+                type: "file",
+                accept: "audio/mpeg,audio/wav,audio/x-wav,audio/ogg",
+                style: "display: none",
+                onchange: async () => {
+                    if (fileInput.files.length) {
+                        let resp = await uploadFile(fileInput.files[0])
+                        if (resp.status != 200) {
+                            //upload failed and file can not be added to options
+                            return;
+                        }
+                        const filename = (await resp.json()).name;
+                        pathWidget.options.values.push(filename);
+                        pathWidget.value = filename;
+                        if (pathWidget.callback) {
+                            pathWidget.callback(filename)
+                        }
+                    }
+                },
+            });
+        }else {
+            throw "Unknown upload type"
+        }
+        document.body.append(fileInput);
+        let uploadWidget = this.addWidget("button", "choose " + type + " to upload", "image", () => {
+            //clear the active click event
+            app.canvas.node_widget = null
+
+            fileInput.click();
+        });
+        uploadWidget.options.serialize = false;
+    });
+}
+
+function addVideoPreview(nodeType) {
+    chainCallback(nodeType.prototype, "onNodeCreated", function() {
+        var element = document.createElement("div");
+        const previewNode = this;
+        var previewWidget = this.addDOMWidget("videopreview", "preview", element, {
+            serialize: false,
+            hideOnZoom: false,
+            getValue() {
+                return element.value;
+            },
+            setValue(v) {
+                element.value = v;
+            },
+        });
+        previewWidget.computeSize = function(width) {
+            if (this.aspectRatio && !this.parentEl.hidden) {
+                let height = (previewNode.size[0]-20)/ this.aspectRatio + 10;
+                if (!(height > 0)) {
+                    height = 0;
+                }
+                this.computedHeight = height + 10;
+                return [width, height];
+            }
+            return [width, -4];//no loaded src, widget should not display
+        }
+        element.addEventListener('contextmenu', (e)  => {
+            e.preventDefault()
+            return app.canvas._mousedown_callback(e)
+        }, true);
+        element.addEventListener('pointerdown', (e)  => {
+            e.preventDefault()
+            return app.canvas._mousedown_callback(e)
+        }, true);
+        element.addEventListener('mousewheel', (e)  => {
+            e.preventDefault()
+            return app.canvas._mousewheel_callback(e)
+        }, true);
+        previewWidget.value = {hidden: false, paused: false, params: {},
+            muted: app.ui.settings.getSettingValue("VHS.DefaultMute", false)}
+        previewWidget.parentEl = document.createElement("div");
+        previewWidget.parentEl.className = "vhs_preview";
+        previewWidget.parentEl.style['width'] = "100%"
+        element.appendChild(previewWidget.parentEl);
+        previewWidget.videoEl = document.createElement("video");
+        previewWidget.videoEl.controls = false;
+        previewWidget.videoEl.loop = true;
+        previewWidget.videoEl.muted = true;
+        previewWidget.videoEl.style['width'] = "100%"
+        previewWidget.videoEl.addEventListener("loadedmetadata", () => {
+
+            previewWidget.aspectRatio = previewWidget.videoEl.videoWidth / previewWidget.videoEl.videoHeight;
+            fitHeight(this);
+        });
+        previewWidget.videoEl.addEventListener("error", () => {
+            //TODO: consider a way to properly notify the user why a preview isn't shown.
+            previewWidget.parentEl.hidden = true;
+            fitHeight(this);
+        });
+        previewWidget.videoEl.onmouseenter =  () => {
+            previewWidget.videoEl.muted = previewWidget.value.muted
+        };
+        previewWidget.videoEl.onmouseleave = () => {
+            previewWidget.videoEl.muted = true;
+        };
+
+        previewWidget.imgEl = document.createElement("img");
+        previewWidget.imgEl.style['width'] = "100%"
+        previewWidget.imgEl.hidden = true;
+        previewWidget.imgEl.onload = () => {
+            previewWidget.aspectRatio = previewWidget.imgEl.naturalWidth / previewWidget.imgEl.naturalHeight;
+            fitHeight(this);
+        };
+
+        var timeout = null;
+        this.updateParameters = (params, force_update) => {
+            if (!previewWidget.value.params) {
+                if(typeof(previewWidget.value != 'object')) {
+                    previewWidget.value =  {hidden: false, paused: false}
+                }
+                previewWidget.value.params = {}
+            }
+            Object.assign(previewWidget.value.params, params)
+            if (!force_update &&
+                !app.ui.settings.getSettingValue("VHS.AdvancedPreviews", false)) {
+                return;
+            }
+            if (timeout) {
+                clearTimeout(timeout);
+            }
+            if (force_update) {
+                previewWidget.updateSource();
+            } else {
+                timeout = setTimeout(() => previewWidget.updateSource(),100);
+            }
+        };
+        previewWidget.updateSource = function () {
+            if (this.value.params == undefined) {
+                return;
+            }
+            let params =  {}
+            Object.assign(params, this.value.params);//shallow copy
+            this.parentEl.hidden = this.value.hidden;
+            if (params.format?.split('/')[0] == 'video' ||
+                app.ui.settings.getSettingValue("VHS.AdvancedPreviews", false) &&
+                (params.format?.split('/')[1] == 'gif') || params.format == 'folder') {
+                this.videoEl.autoplay = !this.value.paused && !this.value.hidden;
+                let target_width = 256
+                if (element.style?.width) {
+                    //overscale to allow scrolling. Endpoint won't return higher than native
+                    target_width = element.style.width.slice(0,-2)*2;
+                }
+                if (!params.force_size || params.force_size.includes("?") || params.force_size == "Disabled") {
+                    params.force_size = target_width+"x?"
+                } else {
+                    let size = params.force_size.split("x")
+                    let ar = parseInt(size[0])/parseInt(size[1])
+                    params.force_size = target_width+"x"+(target_width/ar)
+                }
+                if (app.ui.settings.getSettingValue("VHS.AdvancedPreviews", false)) {
+                    this.videoEl.src = api.apiURL('/viewvideo?' + new URLSearchParams(params));
+                } else {
+                    previewWidget.videoEl.src = api.apiURL('/view?' + new URLSearchParams(params));
+                }
+                this.videoEl.hidden = false;
+                this.imgEl.hidden = true;
+            } else if (params.format?.split('/')[0] == 'image'){
+                //Is animated image
+                this.imgEl.src = api.apiURL('/view?' + new URLSearchParams(params));
+                this.videoEl.hidden = true;
+                this.imgEl.hidden = false;
+            }
+        }
+        previewWidget.parentEl.appendChild(previewWidget.videoEl)
+        previewWidget.parentEl.appendChild(previewWidget.imgEl)
+    });
+}
+function addPreviewOptions(nodeType) {
+    chainCallback(nodeType.prototype, "getExtraMenuOptions", function(_, options) {
+        // The intended way of appending options is returning a list of extra options,
+        // but this isn't used in widgetInputs.js and would require
+        // less generalization of chainCallback
+        let optNew = []
+        const previewWidget = this.widgets.find((w) => w.name === "videopreview");
+
+        let url = null
+        if (previewWidget.videoEl?.hidden == false && previewWidget.videoEl.src) {
+            //Use full quality video
+            url = api.apiURL('/view?' + new URLSearchParams(previewWidget.value.params));
+            //Workaround for 16bit png: Just do first frame
+            url = url.replace('%2503d', '001')
+        } else if (previewWidget.imgEl?.hidden == false && previewWidget.imgEl.src) {
+            url = previewWidget.imgEl.src;
+            url = new URL(url);
+        }
+        if (url) {
+            optNew.push(
+                {
+                    content: "Open preview",
+                    callback: () => {
+                        window.open(url, "_blank")
+                    },
+                },
+                {
+                    content: "Save preview",
+                    callback: () => {
+                        const a = document.createElement("a");
+                        a.href = url;
+                        a.setAttribute("download", new URLSearchParams(previewWidget.value.params).get("filename"));
+                        document.body.append(a);
+                        a.click();
+                        requestAnimationFrame(() => a.remove());
+                    },
+                }
+            );
+        }
+        const PauseDesc = (previewWidget.value.paused ? "Resume" : "Pause") + " preview";
+        if(previewWidget.videoEl.hidden == false) {
+            optNew.push({content: PauseDesc, callback: () => {
+                //animated images can't be paused and are more likely to cause performance issues.
+                //changing src to a single keyframe is possible,
+                //For now, the option is disabled if an animated image is being displayed
+                if(previewWidget.value.paused) {
+                    previewWidget.videoEl?.play();
+                } else {
+                    previewWidget.videoEl?.pause();
+                }
+                previewWidget.value.paused = !previewWidget.value.paused;
+            }});
+        }
+        //TODO: Consider hiding elements if no video preview is available yet.
+        //It would reduce confusion at the cost of functionality
+        //(if a video preview lags the computer, the user should be able to hide in advance)
+        const visDesc = (previewWidget.value.hidden ? "Show" : "Hide") + " preview";
+        optNew.push({content: visDesc, callback: () => {
+            if (!previewWidget.videoEl.hidden && !previewWidget.value.hidden) {
+                previewWidget.videoEl.pause();
+            } else if (previewWidget.value.hidden && !previewWidget.videoEl.hidden && !previewWidget.value.paused) {
+                previewWidget.videoEl.play();
+            }
+            previewWidget.value.hidden = !previewWidget.value.hidden;
+            previewWidget.parentEl.hidden = previewWidget.value.hidden;
+            fitHeight(this);
+
+        }});
+        optNew.push({content: "Sync preview", callback: () => {
+            //TODO: address case where videos have varying length
+            //Consider a system of sync groups which are opt-in?
+            for (let p of document.getElementsByClassName("vhs_preview")) {
+                for (let child of p.children) {
+                    if (child.tagName == "VIDEO") {
+                        child.currentTime=0;
+                    } else if (child.tagName == "IMG") {
+                        child.src = child.src;
+                    }
+                }
+            }
+        }});
+        const muteDesc = (previewWidget.value.muted ? "Unmute" : "Mute") + " Preview"
+        optNew.push({content: muteDesc, callback: () => {
+            previewWidget.value.muted = !previewWidget.value.muted
+        }})
+        if(options.length > 0 && options[0] != null && optNew.length > 0) {
+            optNew.push(null);
+        }
+        options.unshift(...optNew);
+    });
+}
+function addFormatWidgets(nodeType) {
+    function parseFormats(options) {
+        options.fullvalues = options._values;
+        options._values = [];
+        for (let format of options.fullvalues) {
+            if (Array.isArray(format)) {
+                options._values.push(format[0]);
+            } else {
+                options._values.push(format);
+            }
+        }
+    }
+    chainCallback(nodeType.prototype, "onNodeCreated", function() {
+        var formatWidget = null;
+        var formatWidgetIndex = -1;
+        for(let i = 0; i < this.widgets.length; i++) {
+            if (this.widgets[i].name === "format"){
+                formatWidget = this.widgets[i];
+                formatWidgetIndex = i+1;
+            }
+        }
+        let formatWidgetsCount = 0;
+        //Pre-process options to just names
+        formatWidget.options._values = formatWidget.options.values;
+        parseFormats(formatWidget.options);
+        Object.defineProperty(formatWidget.options, "values", {
+            set : (value) => {
+                formatWidget.options._values  = value;
+                parseFormats(formatWidget.options);
+            },
+            get : () => {
+                return formatWidget.options._values;
+            }
+        })
+
+        formatWidget._value = formatWidget.value;
+        Object.defineProperty(formatWidget, "value", {
+            set : (value) => {
+                formatWidget._value = value;
+                let newWidgets = [];
+                const fullDef = formatWidget.options.fullvalues.find((w) => Array.isArray(w) ? w[0] === value : w === value);
+                if (!Array.isArray(fullDef)) {
+                    formatWidget._value = value;
+                } else {
+                    formatWidget._value = fullDef[0];
+                    for (let wDef of fullDef[1]) {
+                        //create widgets. Heavy borrowed from web/scripts/app.js
+                        //default implementation doesn't work since it automatically adds
+                        //the widget in the wrong spot.
+                        //TODO: consider letting this happen and just removing from list?
+                        let w = {};
+                        w.name = wDef[0];
+                        let inputData = wDef.slice(1);
+                        w.type = inputData[0];
+                        w.options = inputData[1] ? inputData[1] : {};
+                        if (Array.isArray(w.type)) {
+                            w.value = w.type[0];
+                            w.options.values = w.type;
+                            w.type = "combo";
+                        }
+                        if(inputData[1]?.default) {
+                            w.value = inputData[1].default;
+                        }
+                        if (w.type == "INT") {
+                            Object.assign(w.options, {"precision": 0, "step": 10})
+                            w.callback = function (v) {
+                                const s = this.options.step / 10;
+                                this.value = Math.round(v / s) * s;
+                            }
+                        }
+                        const typeTable = {BOOLEAN: "toggle", STRING: "text", INT: "number", FLOAT: "number"};
+                        if (w.type in typeTable) {
+                            w.type = typeTable[w.type];
+                        }
+                        newWidgets.push(w);
+                    }
+                }
+                this.widgets.splice(formatWidgetIndex, formatWidgetsCount, ...newWidgets);
+                fitHeight(this);
+                formatWidgetsCount = newWidgets.length;
+            },
+            get : () => {
+                return formatWidget._value;
+            }
+        });
+    });
+}
+function addLoadVideoCommon(nodeType, nodeData) {
+    addCustomSize(nodeType, nodeData, "force_size")
+    addVideoPreview(nodeType);
+    addPreviewOptions(nodeType);
+    chainCallback(nodeType.prototype, "onNodeCreated", function() {
+        const pathWidget = this.widgets.find((w) => w.name === "video");
+        const frameCapWidget = this.widgets.find((w) => w.name === 'frame_load_cap');
+        const frameSkipWidget = this.widgets.find((w) => w.name === 'skip_first_frames');
+        const rateWidget = this.widgets.find((w) => w.name === 'force_rate');
+        const skipWidget = this.widgets.find((w) => w.name === 'select_every_nth');
+        const sizeWidget = this.widgets.find((w) => w.name === 'force_size');
+        //widget.callback adds unused arguements which need culling
+        let update = function (value, _, node) {
+            let param = {}
+            param[this.name] = value
+            node?.updateParameters(param);
+        }
+        chainCallback(frameCapWidget, "callback", update);
+        chainCallback(frameSkipWidget, "callback", update);
+        chainCallback(rateWidget, "callback", update);
+        chainCallback(skipWidget, "callback", update);
+        let priorSize = sizeWidget.value;
+        let updateSize = function(value, _, node) {
+            if (sizeWidget.value == 'Custom' || priorSize != sizeWidget.value) {
+                node?.updateParameters({"force_size": sizeWidget.serializePreview()});
+            }
+            priorSize = sizeWidget.value;
+        }
+        chainCallback(sizeWidget, "callback", updateSize);
+        chainCallback(this.widgets.find((w) => w.name === "custom_width"), "callback", updateSize);
+        chainCallback(this.widgets.find((w) => w.name === "custom_height"), "callback", updateSize);
+
+        //do first load
+        requestAnimationFrame(() => {
+            for (let w of [frameCapWidget, frameSkipWidget, rateWidget, pathWidget, skipWidget]) {
+                w.callback(w.value, null, this);
+            }
+        });
+    });
+}
+function addLoadImagesCommon(nodeType, nodeData) {
+    addVideoPreview(nodeType);
+    addPreviewOptions(nodeType);
+    chainCallback(nodeType.prototype, "onNodeCreated", function() {
+        const pathWidget = this.widgets.find((w) => w.name === "directory");
+        const frameCapWidget = this.widgets.find((w) => w.name === 'image_load_cap');
+        const frameSkipWidget = this.widgets.find((w) => w.name === 'skip_first_images');
+        const skipWidget = this.widgets.find((w) => w.name === 'select_every_nth');
+        //widget.callback adds unused arguements which need culling
+        let update = function (value, _, node) {
+            let param = {}
+            param[this.name] = value
+            node.updateParameters(param);
+        }
+        chainCallback(frameCapWidget, "callback", (value, _, node) => {
+            node.updateParameters({frame_load_cap: value})
+        });
+        chainCallback(frameSkipWidget, "callback", update);
+        chainCallback(skipWidget, "callback", update);
+        //do first load
+        requestAnimationFrame(() => {
+            for (let w of [frameCapWidget, frameSkipWidget, pathWidget, skipWidget]) {
+                w.callback(w.value, null, this);
+            }
+        });
+    });
+}
+
+function path_stem(path) {
+    let i = path.lastIndexOf("/");
+    if (i >= 0) {
+        return [path.slice(0,i+1),path.slice(i+1)];
+    }
+    return ["",path];
+}
+function searchBox(event, [x,y], node) {
+    //Ensure only one dialogue shows at a time
+    if (this.prompt)
+        return;
+    this.prompt = true;
+
+    let pathWidget = this;
+    let dialog = document.createElement("div");
+    dialog.className = "litegraph litesearchbox graphdialog rounded"
+    dialog.innerHTML = '<span class="name">Path</span> <input autofocus="" type="text" class="value"><button class="rounded">OK</button><div class="helper"></div>'
+    dialog.close = () => {
+        dialog.remove();
+    }
+    document.body.append(dialog);
+    if (app.canvas.ds.scale > 1) {
+        dialog.style.transform = "scale(" + app.canvas.ds.scale + ")";
+    }
+    var name_element = dialog.querySelector(".name");
+    var input = dialog.querySelector(".value");
+    var options_element = dialog.querySelector(".helper");
+    input.value = pathWidget.value;
+
+    var timeout = null;
+    let last_path = null;
+    let extensions = pathWidget.options.vhs_path_extensions
+
+    input.addEventListener("keydown", (e) => {
+        dialog.is_modified = true;
+        if (e.keyCode == 27) {
+            //ESC
+            dialog.close();
+        } else if (e.keyCode == 13 && e.target.localName != "textarea") {
+            pathWidget.value = input.value;
+            if (pathWidget.callback) {
+                pathWidget.callback(pathWidget.value);
+            }
+            dialog.close();
+        } else {
+            if (e.keyCode == 9) {
+                //TAB
+                input.value = last_path + options_element.firstChild.innerText;
+                e.preventDefault();
+                e.stopPropagation();
+            } else if (e.ctrlKey && (e.keyCode == 87 || e.keyCode == 66)) {
+                //Ctrl+w or Ctrl+b
+                //most browsers won't support, but it's good QOL for those that do
+                input.value = path_stem(input.value.slice(0,-1))[0]
+                e.preventDefault();
+                e.stopPropagation();
+            } else if (e.ctrlKey && e.keyCode == 71) {
+                //Ctrl+g
+                //Temporarily disables extension filtering to show all files
+                e.preventDefault();
+                e.stopPropagation();
+                extensions = undefined
+                last_path = null;
+            }
+            if (timeout) {
+                clearTimeout(timeout);
+            }
+            timeout = setTimeout(updateOptions, 10);
+            return;
+        }
+        this.prompt=false;
+        e.preventDefault();
+        e.stopPropagation();
+    });
+
+    var button = dialog.querySelector("button");
+    button.addEventListener("click", (e) => {
+        pathWidget.value = input.value;
+        if (pathWidget.callback) {
+            pathWidget.callback(pathWidget.value);
+        }
+        //unsure why dirty is set here, but not on enter-key above
+        node.graph.setDirtyCanvas(true);
+        dialog.close();
+        this.prompt = false;
+    });
+    var rect = app.canvas.canvas.getBoundingClientRect();
+    var offsetx = -20;
+    var offsety = -20;
+    if (rect) {
+        offsetx -= rect.left;
+        offsety -= rect.top;
+    }
+
+    if (event) {
+        dialog.style.left = event.clientX + offsetx + "px";
+        dialog.style.top = event.clientY + offsety + "px";
+    } else {
+        dialog.style.left = canvas.width * 0.5 + offsetx + "px";
+        dialog.style.top = canvas.height * 0.5 + offsety + "px";
+    }
+    //Search code
+    let options = []
+    function addResult(name, isDir) {
+        let el = document.createElement("div");
+        el.innerText = name;
+        el.className = "litegraph lite-search-item";
+        if (isDir) {
+            el.className += " is-dir";
+            el.addEventListener("click", (e) => {
+                input.value = last_path+name
+                if (timeout) {
+                    clearTimeout(timeout);
+                }
+            timeout = setTimeout(updateOptions, 10);
+            });
+        } else {
+            el.addEventListener("click", (e) => {
+                pathWidget.value = last_path+name;
+                if (pathWidget.callback) {
+                    pathWidget.callback(pathWidget.value);
+                }
+                dialog.close();
+                pathWidget.prompt = false;
+            });
+        }
+        options_element.appendChild(el);
+    }
+    async function updateOptions() {
+        timeout = null;
+        let [path, remainder] = path_stem(input.value);
+        if (last_path != path) {
+            //fetch options.  Must block execution here, so update should be async?
+            let params = {path : path}
+            if (extensions) {
+                params.extensions = extensions
+            }
+            let optionsURL = api.apiURL('/getpath?' + new URLSearchParams(params));
+            try {
+                let resp = await fetch(optionsURL);
+                options = await resp.json();
+            } catch(e) {
+                options = []
+            }
+            last_path = path;
+        }
+        options_element.innerHTML = '';
+        //filter options based on remainder
+        for (let option of options) {
+            if (option.startsWith(remainder)) {
+                let isDir = option.endsWith('/')
+                addResult(option, isDir);
+            }
+        }
+    }
+
+    setTimeout(async function() {
+        input.focus();
+        await updateOptions();
+    }, 10);
+
+    return dialog;
+}
+
+app.ui.settings.addSetting({
+    id: "VHS.AdvancedPreviews",
+    name: "🎥🅥🅗🅢 Advanced Previews",
+    type: "boolean",
+    defaultValue: false,
+});
+app.ui.settings.addSetting({
+    id: "VHS.DefaultMute",
+    name: "🎥🅥🅗🅢 Mute videos by default",
+    type: "boolean",
+    defaultValue: false,
+});
+
+app.registerExtension({
+    name: "VideoHelperSuite.Core",
+    async beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if(nodeData?.name?.startsWith("VHS_")) {
+            useKVState(nodeType);
+            if (nodeData.description) {
+                let description = nodeData.description
+                let el = document.createElement("div")
+                el.innerHTML = description
+                if (!el.children.length) {
+                    //Is plaintext. Do minor convenience formatting
+                    let chunks = description.split('\n')
+                    nodeData.description = chunks[0]
+                    description = chunks.join('<br>')
+                } else {
+                    nodeData.description = el.querySelector('#VHS_shortdesc')?.innerHTML || el.children[1]?.firstChild?.innerHTML
+                }
+                chainCallback(nodeType.prototype, "onNodeCreated", function () {
+                    helpDOM.addHelp(this, nodeType, description)
+                    this.setSize(this.computeSize())
+                })
+            }
+            chainCallback(nodeType.prototype, "onNodeCreated", function () {
+                let new_widgets = []
+                if (this.widgets) {
+                    for (let w of this.widgets) {
+                        let input = this.constructor.nodeData.input
+                        let config = input?.required[w.name] ?? input.optional[w.name]
+                        if (!config) {
+                            continue
+                        }
+                        if (w?.type == "text" && config[1].vhs_path_extensions) {
+                            new_widgets.push(app.widgets.VHSPATH({}, w.name, ["VHSPATH", config[1]]));
+                        } else {
+                            new_widgets.push(w)
+                        }
+                    }
+                    this.widgets = new_widgets;
+                }
+            });
+        }
+        if (nodeData?.name == "VHS_LoadImages") {
+            addUploadWidget(nodeType, nodeData, "directory", "folder");
+            chainCallback(nodeType.prototype, "onNodeCreated", function() {
+                const pathWidget = this.widgets.find((w) => w.name === "directory");
+                chainCallback(pathWidget, "callback", (value) => {
+                    if (!value) {
+                        return;
+                    }
+                    let params = {filename : value, type : "input", format: "folder"};
+                    this.updateParameters(params, true);
+                });
+            });
+            addLoadImagesCommon(nodeType, nodeData);
+        } else if (nodeData?.name == "VHS_LoadImagesPath") {
+            addUploadWidget(nodeType, nodeData, "directory", "folder");
+            chainCallback(nodeType.prototype, "onNodeCreated", function() {
+                const pathWidget = this.widgets.find((w) => w.name === "directory");
+                chainCallback(pathWidget, "callback", (value) => {
+                    if (!value) {
+                        return;
+                    }
+                    let params = {filename : value, type : "path", format: "folder"};
+                    this.updateParameters(params, true);
+                });
+            });
+            addLoadImagesCommon(nodeType, nodeData);
+        } else if (nodeData?.name == "VHS_LoadVideo") {
+            addUploadWidget(nodeType, nodeData, "video");
+            chainCallback(nodeType.prototype, "onNodeCreated", function() {
+                const pathWidget = this.widgets.find((w) => w.name === "video");
+                chainCallback(pathWidget, "callback", (value) => {
+                    if (!value) {
+                        return;
+                    }
+                    let parts = ["input", value];
+                    let extension_index = parts[1].lastIndexOf(".");
+                    let extension = parts[1].slice(extension_index+1);
+                    let format = "video"
+                    if (["gif", "webp", "avif"].includes(extension)) {
+                        format = "image"
+                    }
+                    format += "/" + extension;
+                    let params = {filename : parts[1], type : parts[0], format: format};
+                    this.updateParameters(params, true);
+                });
+            });
+            addLoadVideoCommon(nodeType, nodeData);
+            addVAEOutputToggle(nodeType, nodeData);
+            applyVHSAudioLinksFix(nodeType, nodeData, 2)
+        } else if (nodeData?.name == "VHS_LoadAudioUpload") {
+            addUploadWidget(nodeType, nodeData, "audio", "audio");
+            applyVHSAudioLinksFix(nodeType, nodeData, 0)
+        } else if (nodeData?.name == "VHS_LoadAudio"){
+            applyVHSAudioLinksFix(nodeType, nodeData, 0)
+        } else if (nodeData?.name =="VHS_LoadVideoPath") {
+            chainCallback(nodeType.prototype, "onNodeCreated", function() {
+                const pathWidget = this.widgets.find((w) => w.name === "video");
+                chainCallback(pathWidget, "callback", (value) => {
+                    let extension_index = value.lastIndexOf(".");
+                    let extension = value.slice(extension_index+1);
+                    let format = "video"
+                    if (["gif", "webp", "avif"].includes(extension)) {
+                        format = "image"
+                    }
+                    format += "/" + extension;
+                    let params = {filename : value, type: "path", format: format};
+                    this?.updateParameters(params, true);
+                });
+            });
+            addLoadVideoCommon(nodeType, nodeData);
+            addVAEOutputToggle(nodeType, nodeData);
+            applyVHSAudioLinksFix(nodeType, nodeData, 2)
+        } else if (nodeData?.name == "VHS_VideoCombine") {
+            addDateFormatting(nodeType, "filename_prefix");
+            chainCallback(nodeType.prototype, "onExecuted", function(message) {
+                if (message?.gifs) {
+                    this.updateParameters(message.gifs[0], true);
+                }
+            });
+            addVideoPreview(nodeType);
+            addPreviewOptions(nodeType);
+            addFormatWidgets(nodeType);
+            addVAEInputToggle(nodeType, nodeData)
+
+            chainCallback(nodeType.prototype, "onNodeCreated", function() {
+                this._outputs = this.outputs
+                Object.defineProperty(this, "outputs", {
+                    set : function(value) {
+                        this._outputs = value;
+                        requestAnimationFrame(() => {
+                            if (app.nodeOutputs[this.id + ""]) {
+                                this.updateParameters(app.nodeOutputs[this.id+""].gifs[0], true);
+                            }
+                        })
+                    },
+                    get : function() {
+                        return this._outputs;
+                    }
+                });
+                //Display previews after reload/ loading workflow
+                requestAnimationFrame(() => {this.updateParameters({}, true);});
+            });
+        } else if (nodeData?.name == "VHS_SaveImageSequence") {
+            //Disabled for safety as VHS_SaveImageSequence is not currently merged
+            //addDateFormating(nodeType, "directory_name", timestamp_widget=true);
+            //addTimestampWidget(nodeType, nodeData, "directory_name")
+        } else if (nodeData?.name == "VHS_BatchManager") {
+            chainCallback(nodeType.prototype, "onNodeCreated", function() {
+                this.widgets.push({name: "count", type: "dummy", value: 0,
+                    computeSize: () => {return [0,-4]},
+                    afterQueued: function() {this.value++;}});
+            });
+        } else if (nodeData?.name == "VHS_Unbatch") {
+            cloneType(nodeType, nodeData)
+        }
+    },
+    async getCustomWidgets() {
+        return {
+            VHSPATH(node, inputName, inputData) {
+                let w = {
+                    name : inputName,
+                    type : "VHS.PATH",
+                    value : "",
+                    draw : function(ctx, node, widget_width, y, H) {
+                        //Adapted from litegraph.core.js:drawNodeWidgets
+                        var show_text = app.canvas.ds.scale > 0.5;
+                        var margin = 15;
+                        var text_color = LiteGraph.WIDGET_TEXT_COLOR;
+                        var secondary_text_color = LiteGraph.WIDGET_SECONDARY_TEXT_COLOR;
+                        ctx.textAlign = "left";
+                        ctx.strokeStyle = LiteGraph.WIDGET_OUTLINE_COLOR;
+                        ctx.fillStyle = LiteGraph.WIDGET_BGCOLOR;
+                        ctx.beginPath();
+                        if (show_text)
+                            ctx.roundRect(margin, y, widget_width - margin * 2, H, [H * 0.5]);
+                        else
+                            ctx.rect( margin, y, widget_width - margin * 2, H );
+                        ctx.fill();
+                        if (show_text) {
+                            if(!this.disabled)
+                                ctx.stroke();
+                            ctx.save();
+                            ctx.beginPath();
+                            ctx.rect(margin, y, widget_width - margin * 2, H);
+                            ctx.clip();
+
+                            //ctx.stroke();
+                            ctx.fillStyle = secondary_text_color;
+                            const label = this.label || this.name;
+                            if (label != null) {
+                                ctx.fillText(label, margin * 2, y + H * 0.7);
+                            }
+                            ctx.fillStyle = this.value ? text_color : '#777';
+                            ctx.textAlign = "right";
+                            let disp_text = this.format_path(String(this.value || this.options.placeholder))
+                            ctx.fillText(disp_text, widget_width - margin * 2, y + H * 0.7); //30 chars max
+                            ctx.restore();
+                        }
+                    },
+                    mouse : searchBox,
+                    options : {},
+                    format_path : function(path) {
+                        //Formats the full path to be under 30 characters
+                        if (path.length <= 30) {
+                            return path;
+                        }
+                        let filename = path_stem(path)[1]
+                        if (filename.length > 28) {
+                            //may all fit, but can't squeeze more info
+                            return filename.substr(0,30);
+                        }
+                        //TODO: find solution for windows, path[1] == ':'?
+                        let isAbs = path[0] == '/';
+                        let partial = path.substr(path.length - (isAbs ? 28:29))
+                        let cutoff = partial.indexOf('/');
+                        if (cutoff < 0) {
+                            //Can occur, but there isn't a nicer way to format
+                            return path.substr(path.length-30);
+                        }
+                        return (isAbs ? '/…':'…') + partial.substr(cutoff);
+
+                    }
+                };
+                if (inputData.length > 1) {
+                    w.options = inputData[1]
+                    if (inputData[1].default) {
+                        w.value = inputData[1].default;
+                    }
+                }
+
+                if (!node.widgets) {
+                    node.widgets = [];
+                }
+                node.widgets.push(w);
+                return w;
+            }
+        }
+    },
+    async loadedGraphNode(node) {
+        //Check and migrate inputs named batch_manager from old workflows
+        if (node.type?.startsWith("VHS_") && node.inputs) {
+            const batchInput = node.inputs.find((i) => i.name == "batch_manager")
+            if (batchInput) {
+                batchInput.name = "meta_batch"
+            }
+        }
+    },
+    async beforeConfigureGraph(graphData, missingNodeTypes) {
+        if(helpDOM?.node) {
+            helpDOM.node = undefined
+        }
+    },
+    async setup() {
+        //cg-use-everywhere link workaround
+        //particularly invasive, plan to remove
+        let originalGraphToPrompt = app.graphToPrompt
+        let graphToPrompt = async function() {
+            let res = await originalGraphToPrompt.apply(this, arguments);
+            for (let n of app.graph._nodes) {
+                if (n?.type?.startsWith('VHS_LoadVideo')) {
+                    if (!n?.inputs[1]?.link && res?.output[n.id]?.inputs?.vae) {
+                        delete res.output[n.id].inputs.vae
+                    }
+                }
+            }
+            return res
+        }
+        app.graphToPrompt = graphToPrompt
+    },
+    async init() {
+        if (app.VHSHelp != helpDOM) {
+            helpDOM = app.VHSHelp
+        } else {
+            initHelpDOM()
+        }
+        let e = app.extensions.filter((w) => w.name == 'UVR5.AudioPreviewer')
+        if (e.length) {
+            let orig = e[0].beforeRegisterNodeDef
+            e[0].beforeRegisterNodeDef = function(nodeType, nodeData, app) {
+                if(!nodeData?.name?.startsWith("VHS_")) {
+                    return orig.apply(this, arguments);
+                }
+            }
+        }
+
+    },
+});
diff --git a/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/web/js/videoinfo.js b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/web/js/videoinfo.js
new file mode 100644
index 0000000000000000000000000000000000000000..1947b47e21319268be0b614e80dc85b0da5b505b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI-VideoHelperSuite/web/js/videoinfo.js
@@ -0,0 +1,102 @@
+import { app } from '../../../scripts/app.js'
+
+
+function getVideoMetadata(file) {
+    return new Promise((r) => {
+        const reader = new FileReader();
+        reader.onload = (event) => {
+            const videoData = new Uint8Array(event.target.result);
+            const dataView = new DataView(videoData.buffer);
+
+            let decoder = new TextDecoder();
+            // Check for known valid magic strings
+            if (dataView.getUint32(0) == 0x1A45DFA3) {
+                //webm
+                //see http://wiki.webmproject.org/webm-metadata/global-metadata
+                //and https://www.matroska.org/technical/elements.html
+                //contrary to specs, tag seems consistently at start
+                //COMMENT + 0x4487 + packed length?
+                //length 0x8d8 becomes 0x48d8
+                //
+                //description for variable length ints https://github.com/ietf-wg-cellar/ebml-specification/blob/master/specification.markdown
+                let offset = 4 + 8; //COMMENT is 7 chars + 1 to realign
+                while(offset < videoData.length-16) {
+                    //Check for text tags
+                    if (dataView.getUint16(offset) == 0x4487) {
+                        //check that name of tag is COMMENT
+                        const name = String.fromCharCode(...videoData.slice(offset-7,offset));
+                        if (name === "COMMENT") {
+                            let vint = dataView.getUint32(offset+2);
+                            let n_octets = Math.clz32(vint)+1;
+                            if (n_octets < 4) {//250MB sanity cutoff
+                                let length = (vint >> (8*(4-n_octets))) & ~(1 << (7*n_octets));
+                                const content = decoder.decode(videoData.slice(offset+2+n_octets, offset+2+n_octets+length));
+                                const json = JSON.parse(content);
+                                r(json);
+                                return;
+                            }
+                        }
+                    }
+                    offset+=1;
+                }
+            } else if (dataView.getUint32(4) == 0x66747970 && dataView.getUint32(8) == 0x69736F6D) {
+                //mp4
+                //see https://developer.apple.com/documentation/quicktime-file-format
+                //Seems to make no guarantee for alignment
+                let offset = videoData.length-4;
+                while (offset > 16) {//rough safe guess
+                    if (dataView.getUint32(offset) == 0x64617461) {//any data tag
+                        if (dataView.getUint32(offset - 8) == 0xa9636d74) {//cmt data tag
+                            let type = dataView.getUint32(offset+4); //seemingly 1
+                            let locale = dataView.getUint32(offset+8); //seemingly 0
+                            let size = dataView.getUint32(offset-4) - 4*4;
+                            const content = decoder.decode(videoData.slice(offset+12, offset+12+size));
+                            const json = JSON.parse(content);
+                            r(json);
+                            return;
+                        }
+                    }
+
+                    offset-=1;
+                }
+            } else {
+                console.error("Unknown magic: " + dataView.getUint32(0))
+                r();
+                return;
+            }
+
+        };
+
+        reader.readAsArrayBuffer(file);
+    });
+}
+function isVideoFile(file) {
+    if (file?.name?.endsWith(".webm")) {
+        return true;
+    }
+    if (file?.name?.endsWith(".mp4")) {
+        return true;
+    }
+
+    return false;
+}
+
+let originalHandleFile = app.handleFile;
+app.handleFile = handleFile;
+async function handleFile(file) {
+    if (file?.type?.startsWith("video/") || isVideoFile(file)) {
+        const videoInfo = await getVideoMetadata(file);
+        if (videoInfo) {
+            if (videoInfo.workflow) {
+
+                app.loadGraphData(videoInfo.workflow);
+            }
+            //Potentially check for/parse A1111 metadata here.
+        }
+    } else {
+        return await originalHandleFile.apply(this, arguments);
+    }
+}
+
+//hijack comfy-file-input to allow webm/mp4
+document.getElementById("comfy-file-input").accept += ",video/webm,video/mp4";
diff --git a/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/.gitignore b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..6769e21d99a63338394e47bc4c7d0aba1e88d5a5
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/.gitignore
@@ -0,0 +1,160 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/LICENSE.txt b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/LICENSE.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8091c1aec7f9f6414e7c697922a2f3fff215d83a
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/LICENSE.txt
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Chaoses-Ib
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/README.md b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c93b16533ad45c08be4b6a846a73c7084dddbd86
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/README.md
@@ -0,0 +1,45 @@
+# ComfyUI_Ib_CustomNodes
+## Load Image From Path
+```python
+def LoadImageFromPath(
+    image: str = r'ComfyUI_00001_-assets\ComfyUI_00001_.png [output]'
+) -> tuple[Image, Mask]
+```
+
+ComfyUI's built-in `Load Image` node can only load uploaded images, which produces duplicated files in the input directory and cannot reload the image when the source file is changed. `Load Image From Path` instead loads the image from the source path and does not have such problems.
+
+One use of this node is to work with Photoshop's [Quick Export](https://helpx.adobe.com/photoshop/using/export-artboards-layers.html#:~:text=in%20Photoshop.-,Quick%20Export%20As,-Use%20the%20Quick) to quickly perform img2img/inpaint on the edited image. Update: For working with Photoshop, [comfyui-photoshop](https://github.com/NimaNzrii/comfyui-photoshop) is more convenient and supports waiting for changes. See [tutorial at r/comfyui](https://www.reddit.com/r/comfyui/comments/18jygtn/new_ai_news_photoshop_to_comfyui_v1_is_finally/).
+
+The image path can be in the following format:
+- Absolute path:
+
+  `D:\ComfyUI\output\ComfyUI_00001_-assets\ComfyUI_00001_.png`
+
+- Relative to the input directory:
+
+  `ComfyUI_00001_-assets\ComfyUI_00001_.png [input]`
+
+- Relative to the output directory:
+
+  `ComfyUI_00001_-assets\ComfyUI_00001_.png [output]`
+
+- Relative to the temp directory:
+
+  `ComfyUI_00001_-assets\ComfyUI_00001_.png [temp]`
+
+## PIL.Image
+```python
+def PILToImage(
+    images: PilImage
+) -> Image
+```
+```python
+def PILToMask(
+    images: PilImage
+) -> Image
+```
+```python
+def ImageToPIL(
+    images: Image
+) -> PilImage
+```
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/__init__.py b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..c79c5d887a186f47085b5baaa532a90dd30361ac
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/__init__.py
@@ -0,0 +1,19 @@
+from .image import *
+
+__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS']
+
+NODE_CLASS_MAPPINGS = {
+    'LoadImageFromPath': LoadImageFromPath,
+    'PILToImage': PILToImage,
+    'PILToMask': PILToMask,
+    'ImageToPIL': ImageToPIL,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    'LoadImageFromPath': 'Load Image From Path',
+    'PILToImage': 'PIL To Image',
+    'PILToMask': 'PIL To Mask',
+    'ImageToPIL': 'Image To PIL',
+}
+
+print("\033[34mIb Custom Nodes: \033[92mLoaded\033[0m")
diff --git a/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/__pycache__/__init__.cpython-310.pyc b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/__pycache__/__init__.cpython-310.pyc
new file mode 100644
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diff --git a/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/__pycache__/image.cpython-310.pyc b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/__pycache__/image.cpython-310.pyc
new file mode 100644
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diff --git a/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/__pycache__/image.cpython-312.pyc b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/__pycache__/image.cpython-312.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..9612ab39436fb91121538e22178a5b7d41df4912
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diff --git a/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/image.py b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/image.py
new file mode 100644
index 0000000000000000000000000000000000000000..849675fd640f617a468d1a2b10a4276415e83c12
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/image.py
@@ -0,0 +1,148 @@
+import torch
+
+import hashlib
+from pathlib import Path
+from typing import Iterable
+
+from PIL import Image, ImageOps
+import numpy as np
+
+import folder_paths
+
+class LoadImageFromPath:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"image": ("STRING", {"default": r"ComfyUI_00001_-assets\ComfyUI_00001_.png [output]"})},
+                }
+
+    CATEGORY = "image"
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    FUNCTION = "load_image"
+    def load_image(self, image):
+        image_path = LoadImageFromPath._resolve_path(image)
+
+        i = Image.open(image_path)
+        i = ImageOps.exif_transpose(i)
+        image = i.convert("RGB")
+        image = np.array(image).astype(np.float32) / 255.0
+        image = torch.from_numpy(image)[None,]
+        if 'A' in i.getbands():
+            mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
+            mask = 1. - torch.from_numpy(mask)
+        else:
+            mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+        return (image, mask)
+
+    def _resolve_path(image) -> Path:
+        image_path = Path(folder_paths.get_annotated_filepath(image))
+        return image_path
+
+    @classmethod
+    def IS_CHANGED(s, image):
+        image_path = LoadImageFromPath._resolve_path(image)
+        m = hashlib.sha256()
+        with open(image_path, 'rb') as f:
+            m.update(f.read())
+        return m.digest().hex()
+
+    @classmethod
+    def VALIDATE_INPUTS(s, image):
+        # If image is an output of another node, it will be None during validation
+        if image is None:
+            return True
+
+        image_path = LoadImageFromPath._resolve_path(image)
+        if not image_path.exists():
+            return "Invalid image path: {}".format(image_path)
+
+        return True
+
+class PILToImage:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {'required': 
+                    {'images': ('PIL_IMAGE', )},
+                }
+
+    RETURN_TYPES = ('IMAGE',)
+    FUNCTION = 'pil_images_to_images'
+
+    CATEGORY = 'image/PIL'
+
+    def pil_images_to_images(images: Iterable[Image.Image]) -> torch.Tensor:
+        pil_images = images
+
+        images = []
+        for pil_image in pil_images:
+            i = pil_image
+            i = ImageOps.exif_transpose(i)
+            if i.mode == 'I':
+                i = i.point(lambda i: i * (1 / 255))
+            image = i.convert("RGB")
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            images.append(image)
+        
+        if len(images) > 1:
+            images = torch.cat(images, dim=0)
+        else:
+            images = images[0]
+
+        return (images,)
+
+class PILToMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {'required': 
+                    {'images': ('PIL_IMAGE', )},
+                }
+
+    RETURN_TYPES = ('IMAGE',)
+    FUNCTION = 'pil_images_to_masks'
+
+    CATEGORY = 'image/PIL'
+
+    def pil_images_to_masks(images: Iterable[Image.Image]) -> torch.Tensor:
+        pil_images = images
+
+        masks = []
+        for pil_image in pil_images:
+            i = pil_image
+            i = ImageOps.exif_transpose(i)
+            if i.mode == 'I':
+                i = i.point(lambda i: i * (1 / 255))
+            if 'A' in i.getbands():
+                mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
+                mask = 1. - torch.from_numpy(mask)
+            else:
+                mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+            masks.append(mask)
+        
+        if len(masks) > 1:
+            masks = torch.cat(masks, dim=0)
+        else:
+            masks = masks[0]
+
+        return (masks,)
+
+class ImageToPIL:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {'required': 
+                    {'images': ('IMAGE', )},
+                }
+
+    RETURN_TYPES = ('PIL_IMAGE',)
+    FUNCTION = 'images_to_pil_images'
+
+    CATEGORY = 'image/PIL'
+
+    def images_to_pil_images(self, images: torch.Tensor) -> list[Image.Image]:
+        pil_images = []
+        for image in images:
+            i = 255. * image.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+            pil_images.append(img)
+        return (pil_images,)
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/pyproject.toml b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..0926c5b6ad93a441097beb04c77a4e9f662e43b7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/pyproject.toml
@@ -0,0 +1,43 @@
+[project]
+name = "ComfyUI_Ib_CustomNodes"
+version = "0.2.2"
+description = 'Load Image From Path, PIL.Image'
+readme = "README.md"
+# requires-python = ">=3.8"
+license = "MIT"
+keywords = ["comfyui"]
+dynamic = ["dependencies"]
+
+[project.urls]
+Homepage = "https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes"
+comfyui-legacy = "https://github.com/Chaoses-Ib/comfyui-legacy"
+
+[build-system]
+requires = ["hatchling", "hatch-requirements-txt"]
+build-backend = "hatchling.build"
+
+[tool.hatch.metadata.hooks.requirements_txt]
+files = ["requirements.txt"]
+
+[tool.hatch.build.targets.sdist]
+packages = ["."]
+
+[tool.hatch.build.targets.wheel]
+packages = ["."]
+exclude = [
+  "*.md",
+  "/images",
+  "/docs",
+  "/examples",
+  "/workflow_examples",
+  "/tests",
+]
+
+[tool.hatch.build.targets.sdist.sources]
+"." = "ComfyUI_Ib_CustomNodes"
+
+[tool.hatch.build.targets.wheel.sources]
+"." = "ComfyUI_Ib_CustomNodes"
+
+[project.entry-points."comfyui_legacy.custom_nodes"]
+ComfyUI_Ib_CustomNodes = "ComfyUI_Ib_CustomNodes"
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/requirements.txt b/ComfyUI/custom_nodes/ComfyUI_Ib_CustomNodes/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/.github/workflows/publish.yml b/ComfyUI/custom_nodes/ComfyUI_essentials/.github/workflows/publish.yml
new file mode 100644
index 0000000000000000000000000000000000000000..a4fd89247c103447a257600ca36e31ad5bf8fdf3
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/.github/workflows/publish.yml
@@ -0,0 +1,22 @@
+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+      - master
+    paths:
+      - "pyproject.toml"
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          ## Add your own personal access token to your Github Repository secrets and reference it here.
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/.gitignore b/ComfyUI/custom_nodes/ComfyUI_essentials/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..b5a4568fd5c499d1b66b0b066ae73a2f4ea1f4c7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/.gitignore
@@ -0,0 +1,6 @@
+/__pycache__/
+/luts/*.cube
+/luts/*.CUBE
+/fonts/*.ttf
+/fonts/*.otf
+!/fonts/ShareTechMono-Regular.ttf
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/LICENSE b/ComfyUI/custom_nodes/ComfyUI_essentials/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..948b5e4192d70b665b15bb5a917bd98b3771eb4b
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Matteo Spinelli
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/README.md b/ComfyUI/custom_nodes/ComfyUI_essentials/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c02d986782888256ba8c5242c0f5f958c5a34506
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/README.md
@@ -0,0 +1,49 @@
+# :wrench: ComfyUI Essentials
+
+Essential nodes that are weirdly missing from ComfyUI core. With few exceptions they are new features and not commodities. I hope this will be just a temporary repository until the nodes get included into ComfyUI.
+
+# Sponsorship
+
+<div align="center">
+
+**[:heart: Github Sponsor](https://github.com/sponsors/cubiq) | [:coin: Paypal](https://paypal.me/matt3o)**
+
+</div>
+
+If you like my work and wish to see updates and new features please consider sponsoring my projects.
+
+- [ComfyUI IPAdapter Plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
+- [ComfyUI InstantID (Native)](https://github.com/cubiq/ComfyUI_InstantID)
+- [ComfyUI Essentials](https://github.com/cubiq/ComfyUI_essentials)
+- [ComfyUI FaceAnalysis](https://github.com/cubiq/ComfyUI_FaceAnalysis)
+
+Not to mention the documentation and videos tutorials. Check my **ComfyUI Advanced Understanding** videos on YouTube for example, [part 1](https://www.youtube.com/watch?v=_C7kR2TFIX0) and [part 2](https://www.youtube.com/watch?v=ijqXnW_9gzc)
+
+The only way to keep the code open and free is by sponsoring its development. The more sponsorships the more time I can dedicate to my open source projects.
+
+Please consider a [Github Sponsorship](https://github.com/sponsors/cubiq) or [PayPal donation](https://paypal.me/matt3o) (Matteo "matt3o" Spinelli). For sponsorships of $50+, let me know if you'd like to be mentioned in this readme file, you can find me on [Discord](https://latent.vision/discord) or _matt3o :snail: gmail.com_.
+
+## Current sponsors
+
+It's only thanks to generous sponsors that **the whole community** can enjoy open and free software. Please join me in thanking the following companies and individuals!
+
+### :trophy: Gold sponsors
+
+[![Kaiber.ai](https://f.latent.vision/imgs/kaiber.png)](https://kaiber.ai/)&nbsp; &nbsp;[![Kaiber.ai](https://f.latent.vision/imgs/replicate.png)](https://replicate.com/)&nbsp; &nbsp;[![InstaSD](https://f.latent.vision/imgs/instasd.png)](https://replicate.com/)
+
+### :tada: Silver sponsors
+
+[![OperArt.ai](https://f.latent.vision/imgs/openart.png?r=1)](https://openart.ai/workflows)&nbsp; &nbsp;[![OperArt.ai](https://f.latent.vision/imgs/finetuners.png)](https://www.finetuners.ai/)&nbsp; &nbsp;[![Comfy.ICU](https://f.latent.vision/imgs/comfyicu.png?r=1)](https://comfy.icu/)
+
+### Other companies supporting my projects
+
+- [RunComfy](https://www.runcomfy.com/) (ComfyUI Cloud)
+
+### Esteemed individuals
+
+- [Øystein Ø. Olsen](https://github.com/FireNeslo)
+- [Jack Gane](https://github.com/ganeJackS)
+- [Nathan Shipley](https://www.nathanshipley.com/)
+- [Dkdnzia](https://github.com/Dkdnzia)
+
+[And all my public and private sponsors!](https://github.com/sponsors/cubiq)
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/__init__.py b/ComfyUI/custom_nodes/ComfyUI_essentials/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..f711d30fd3aa5fe1e7ffbed1694da8221886e211
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/__init__.py
@@ -0,0 +1,34 @@
+#from .essentials import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
+from .image import IMAGE_CLASS_MAPPINGS, IMAGE_NAME_MAPPINGS
+from .mask import MASK_CLASS_MAPPINGS, MASK_NAME_MAPPINGS
+from .sampling import SAMPLING_CLASS_MAPPINGS, SAMPLING_NAME_MAPPINGS
+from .segmentation import SEG_CLASS_MAPPINGS, SEG_NAME_MAPPINGS
+from .misc import MISC_CLASS_MAPPINGS, MISC_NAME_MAPPINGS
+from .conditioning import COND_CLASS_MAPPINGS, COND_NAME_MAPPINGS
+from .text import TEXT_CLASS_MAPPINGS, TEXT_NAME_MAPPINGS
+
+NODE_CLASS_MAPPINGS = {}
+NODE_DISPLAY_NAME_MAPPINGS = {}
+
+NODE_CLASS_MAPPINGS.update(COND_CLASS_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(COND_NAME_MAPPINGS)
+
+NODE_CLASS_MAPPINGS.update(IMAGE_CLASS_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(IMAGE_NAME_MAPPINGS)
+
+NODE_CLASS_MAPPINGS.update(MASK_CLASS_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(MASK_NAME_MAPPINGS)
+
+NODE_CLASS_MAPPINGS.update(SAMPLING_CLASS_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(SAMPLING_NAME_MAPPINGS)
+
+NODE_CLASS_MAPPINGS.update(SEG_CLASS_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(SEG_NAME_MAPPINGS)
+
+NODE_CLASS_MAPPINGS.update(TEXT_CLASS_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(TEXT_NAME_MAPPINGS)
+
+NODE_CLASS_MAPPINGS.update(MISC_CLASS_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(MISC_NAME_MAPPINGS)
+
+__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS']
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diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/carve.py b/ComfyUI/custom_nodes/ComfyUI_essentials/carve.py
new file mode 100644
index 0000000000000000000000000000000000000000..017e804d84324fde3d4004a3ed832676b8237985
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/carve.py
@@ -0,0 +1,454 @@
+# MIT licensed code from https://github.com/li-plus/seam-carving/
+
+from enum import Enum
+from typing import Optional, Tuple
+
+import numba as nb
+import numpy as np
+from scipy.ndimage import sobel
+
+DROP_MASK_ENERGY = 1e5
+KEEP_MASK_ENERGY = 1e3
+
+
+class OrderMode(str, Enum):
+    WIDTH_FIRST = "width-first"
+    HEIGHT_FIRST = "height-first"
+
+
+class EnergyMode(str, Enum):
+    FORWARD = "forward"
+    BACKWARD = "backward"
+
+
+def _list_enum(enum_class) -> Tuple:
+    return tuple(x.value for x in enum_class)
+
+
+def _rgb2gray(rgb: np.ndarray) -> np.ndarray:
+    """Convert an RGB image to a grayscale image"""
+    coeffs = np.array([0.2125, 0.7154, 0.0721], dtype=np.float32)
+    return (rgb @ coeffs).astype(rgb.dtype)
+
+
+def _get_seam_mask(src: np.ndarray, seam: np.ndarray) -> np.ndarray:
+    """Convert a list of seam column indices to a mask"""
+    return np.eye(src.shape[1], dtype=bool)[seam]
+
+
+def _remove_seam_mask(src: np.ndarray, seam_mask: np.ndarray) -> np.ndarray:
+    """Remove a seam from the source image according to the given seam_mask"""
+    if src.ndim == 3:
+        h, w, c = src.shape
+        seam_mask = np.broadcast_to(seam_mask[:, :, None], src.shape)
+        dst = src[~seam_mask].reshape((h, w - 1, c))
+    else:
+        h, w = src.shape
+        dst = src[~seam_mask].reshape((h, w - 1))
+    return dst
+
+
+def _get_energy(gray: np.ndarray) -> np.ndarray:
+    """Get backward energy map from the source image"""
+    assert gray.ndim == 2
+
+    gray = gray.astype(np.float32)
+    grad_x = sobel(gray, axis=1)
+    grad_y = sobel(gray, axis=0)
+    energy = np.abs(grad_x) + np.abs(grad_y)
+    return energy
+
+
+@nb.njit(nb.int32[:](nb.float32[:, :]), cache=True)
+def _get_backward_seam(energy: np.ndarray) -> np.ndarray:
+    """Compute the minimum vertical seam from the backward energy map"""
+    h, w = energy.shape
+    inf = np.array([np.inf], dtype=np.float32)
+    cost = np.concatenate((inf, energy[0], inf))
+    parent = np.empty((h, w), dtype=np.int32)
+    base_idx = np.arange(-1, w - 1, dtype=np.int32)
+
+    for r in range(1, h):
+        choices = np.vstack((cost[:-2], cost[1:-1], cost[2:]))
+        min_idx = np.argmin(choices, axis=0) + base_idx
+        parent[r] = min_idx
+        cost[1:-1] = cost[1:-1][min_idx] + energy[r]
+
+    c = np.argmin(cost[1:-1])
+    seam = np.empty(h, dtype=np.int32)
+    for r in range(h - 1, -1, -1):
+        seam[r] = c
+        c = parent[r, c]
+
+    return seam
+
+
+def _get_backward_seams(
+    gray: np.ndarray, num_seams: int, aux_energy: Optional[np.ndarray]
+) -> np.ndarray:
+    """Compute the minimum N vertical seams using backward energy"""
+    h, w = gray.shape
+    seams = np.zeros((h, w), dtype=bool)
+    rows = np.arange(h, dtype=np.int32)
+    idx_map = np.broadcast_to(np.arange(w, dtype=np.int32), (h, w))
+    energy = _get_energy(gray)
+    if aux_energy is not None:
+        energy += aux_energy
+    for _ in range(num_seams):
+        seam = _get_backward_seam(energy)
+        seams[rows, idx_map[rows, seam]] = True
+
+        seam_mask = _get_seam_mask(gray, seam)
+        gray = _remove_seam_mask(gray, seam_mask)
+        idx_map = _remove_seam_mask(idx_map, seam_mask)
+        if aux_energy is not None:
+            aux_energy = _remove_seam_mask(aux_energy, seam_mask)
+
+        # Only need to re-compute the energy in the bounding box of the seam
+        _, cur_w = energy.shape
+        lo = max(0, np.min(seam) - 1)
+        hi = min(cur_w, np.max(seam) + 1)
+        pad_lo = 1 if lo > 0 else 0
+        pad_hi = 1 if hi < cur_w - 1 else 0
+        mid_block = gray[:, lo - pad_lo : hi + pad_hi]
+        _, mid_w = mid_block.shape
+        mid_energy = _get_energy(mid_block)[:, pad_lo : mid_w - pad_hi]
+        if aux_energy is not None:
+            mid_energy += aux_energy[:, lo:hi]
+        energy = np.hstack((energy[:, :lo], mid_energy, energy[:, hi + 1 :]))
+
+    return seams
+
+
+@nb.njit(
+    [
+        nb.int32[:](nb.float32[:, :], nb.none),
+        nb.int32[:](nb.float32[:, :], nb.float32[:, :]),
+    ],
+    cache=True,
+)
+def _get_forward_seam(gray: np.ndarray, aux_energy: Optional[np.ndarray]) -> np.ndarray:
+    """Compute the minimum vertical seam using forward energy"""
+    h, w = gray.shape
+
+    gray = np.hstack((gray[:, :1], gray, gray[:, -1:]))
+
+    inf = np.array([np.inf], dtype=np.float32)
+    dp = np.concatenate((inf, np.abs(gray[0, 2:] - gray[0, :-2]), inf))
+
+    parent = np.empty((h, w), dtype=np.int32)
+    base_idx = np.arange(-1, w - 1, dtype=np.int32)
+
+    inf = np.array([np.inf], dtype=np.float32)
+    for r in range(1, h):
+        curr_shl = gray[r, 2:]
+        curr_shr = gray[r, :-2]
+        cost_mid = np.abs(curr_shl - curr_shr)
+        if aux_energy is not None:
+            cost_mid += aux_energy[r]
+
+        prev_mid = gray[r - 1, 1:-1]
+        cost_left = cost_mid + np.abs(prev_mid - curr_shr)
+        cost_right = cost_mid + np.abs(prev_mid - curr_shl)
+
+        dp_mid = dp[1:-1]
+        dp_left = dp[:-2]
+        dp_right = dp[2:]
+
+        choices = np.vstack(
+            (cost_left + dp_left, cost_mid + dp_mid, cost_right + dp_right)
+        )
+        min_idx = np.argmin(choices, axis=0)
+        parent[r] = min_idx + base_idx
+        # numba does not support specifying axis in np.min, below loop is equivalent to:
+        # `dp_mid[:] = np.min(choices, axis=0)` or `dp_mid[:] = choices[min_idx, np.arange(w)]`
+        for j, i in enumerate(min_idx):
+            dp_mid[j] = choices[i, j]
+
+    c = np.argmin(dp[1:-1])
+    seam = np.empty(h, dtype=np.int32)
+    for r in range(h - 1, -1, -1):
+        seam[r] = c
+        c = parent[r, c]
+
+    return seam
+
+
+def _get_forward_seams(
+    gray: np.ndarray, num_seams: int, aux_energy: Optional[np.ndarray]
+) -> np.ndarray:
+    """Compute minimum N vertical seams using forward energy"""
+    h, w = gray.shape
+    seams = np.zeros((h, w), dtype=bool)
+    rows = np.arange(h, dtype=np.int32)
+    idx_map = np.broadcast_to(np.arange(w, dtype=np.int32), (h, w))
+    for _ in range(num_seams):
+        seam = _get_forward_seam(gray, aux_energy)
+        seams[rows, idx_map[rows, seam]] = True
+        seam_mask = _get_seam_mask(gray, seam)
+        gray = _remove_seam_mask(gray, seam_mask)
+        idx_map = _remove_seam_mask(idx_map, seam_mask)
+        if aux_energy is not None:
+            aux_energy = _remove_seam_mask(aux_energy, seam_mask)
+
+    return seams
+
+
+def _get_seams(
+    gray: np.ndarray, num_seams: int, energy_mode: str, aux_energy: Optional[np.ndarray]
+) -> np.ndarray:
+    """Get the minimum N seams from the grayscale image"""
+    gray = np.asarray(gray, dtype=np.float32)
+    if energy_mode == EnergyMode.BACKWARD:
+        return _get_backward_seams(gray, num_seams, aux_energy)
+    elif energy_mode == EnergyMode.FORWARD:
+        return _get_forward_seams(gray, num_seams, aux_energy)
+    else:
+        raise ValueError(
+            f"expect energy_mode to be one of {_list_enum(EnergyMode)}, got {energy_mode}"
+        )
+
+
+def _reduce_width(
+    src: np.ndarray,
+    delta_width: int,
+    energy_mode: str,
+    aux_energy: Optional[np.ndarray],
+) -> Tuple[np.ndarray, Optional[np.ndarray]]:
+    """Reduce the width of image by delta_width pixels"""
+    assert src.ndim in (2, 3) and delta_width >= 0
+    if src.ndim == 2:
+        gray = src
+        src_h, src_w = src.shape
+        dst_shape: Tuple[int, ...] = (src_h, src_w - delta_width)
+    else:
+        gray = _rgb2gray(src)
+        src_h, src_w, src_c = src.shape
+        dst_shape = (src_h, src_w - delta_width, src_c)
+
+    to_keep = ~_get_seams(gray, delta_width, energy_mode, aux_energy)
+    dst = src[to_keep].reshape(dst_shape)
+    if aux_energy is not None:
+        aux_energy = aux_energy[to_keep].reshape(dst_shape[:2])
+    return dst, aux_energy
+
+
+@nb.njit(
+    nb.float32[:, :, :](nb.float32[:, :, :], nb.boolean[:, :], nb.int32), cache=True
+)
+def _insert_seams_kernel(
+    src: np.ndarray, seams: np.ndarray, delta_width: int
+) -> np.ndarray:
+    """The numba kernel for inserting seams"""
+    src_h, src_w, src_c = src.shape
+    dst = np.empty((src_h, src_w + delta_width, src_c), dtype=src.dtype)
+    for row in range(src_h):
+        dst_col = 0
+        for src_col in range(src_w):
+            if seams[row, src_col]:
+                left = src[row, max(src_col - 1, 0)]
+                right = src[row, src_col]
+                dst[row, dst_col] = (left + right) / 2
+                dst_col += 1
+            dst[row, dst_col] = src[row, src_col]
+            dst_col += 1
+    return dst
+
+
+def _insert_seams(src: np.ndarray, seams: np.ndarray, delta_width: int) -> np.ndarray:
+    """Insert multiple seams into the source image"""
+    dst = src.astype(np.float32)
+    if dst.ndim == 2:
+        dst = dst[:, :, None]
+    dst = _insert_seams_kernel(dst, seams, delta_width).astype(src.dtype)
+    if src.ndim == 2:
+        dst = dst.squeeze(-1)
+    return dst
+
+
+def _expand_width(
+    src: np.ndarray,
+    delta_width: int,
+    energy_mode: str,
+    aux_energy: Optional[np.ndarray],
+    step_ratio: float,
+) -> Tuple[np.ndarray, Optional[np.ndarray]]:
+    """Expand the width of image by delta_width pixels"""
+    assert src.ndim in (2, 3) and delta_width >= 0
+    if not 0 < step_ratio <= 1:
+        raise ValueError(f"expect `step_ratio` to be between (0,1], got {step_ratio}")
+
+    dst = src
+    while delta_width > 0:
+        max_step_size = max(1, round(step_ratio * dst.shape[1]))
+        step_size = min(max_step_size, delta_width)
+        gray = dst if dst.ndim == 2 else _rgb2gray(dst)
+        seams = _get_seams(gray, step_size, energy_mode, aux_energy)
+        dst = _insert_seams(dst, seams, step_size)
+        if aux_energy is not None:
+            aux_energy = _insert_seams(aux_energy, seams, step_size)
+        delta_width -= step_size
+
+    return dst, aux_energy
+
+
+def _resize_width(
+    src: np.ndarray,
+    width: int,
+    energy_mode: str,
+    aux_energy: Optional[np.ndarray],
+    step_ratio: float,
+) -> Tuple[np.ndarray, Optional[np.ndarray]]:
+    """Resize the width of image by removing vertical seams"""
+    assert src.size > 0 and src.ndim in (2, 3)
+    assert width > 0
+
+    src_w = src.shape[1]
+    if src_w < width:
+        dst, aux_energy = _expand_width(
+            src, width - src_w, energy_mode, aux_energy, step_ratio
+        )
+    else:
+        dst, aux_energy = _reduce_width(src, src_w - width, energy_mode, aux_energy)
+    return dst, aux_energy
+
+
+def _transpose_image(src: np.ndarray) -> np.ndarray:
+    """Transpose a source image in rgb or grayscale format"""
+    if src.ndim == 3:
+        dst = src.transpose((1, 0, 2))
+    else:
+        dst = src.T
+    return dst
+
+
+def _resize_height(
+    src: np.ndarray,
+    height: int,
+    energy_mode: str,
+    aux_energy: Optional[np.ndarray],
+    step_ratio: float,
+) -> Tuple[np.ndarray, Optional[np.ndarray]]:
+    """Resize the height of image by removing horizontal seams"""
+    assert src.ndim in (2, 3) and height > 0
+    if aux_energy is not None:
+        aux_energy = aux_energy.T
+    src = _transpose_image(src)
+    src, aux_energy = _resize_width(src, height, energy_mode, aux_energy, step_ratio)
+    src = _transpose_image(src)
+    if aux_energy is not None:
+        aux_energy = aux_energy.T
+    return src, aux_energy
+
+
+def _check_mask(mask: np.ndarray, shape: Tuple[int, ...]) -> np.ndarray:
+    """Ensure the mask to be a 2D grayscale map of specific shape"""
+    mask = np.asarray(mask, dtype=bool)
+    if mask.ndim != 2:
+        raise ValueError(f"expect mask to be a 2d binary map, got shape {mask.shape}")
+    if mask.shape != shape:
+        raise ValueError(
+            f"expect the shape of mask to match the image, got {mask.shape} vs {shape}"
+        )
+    return mask
+
+
+def _check_src(src: np.ndarray) -> np.ndarray:
+    """Ensure the source to be RGB or grayscale"""
+    src = np.asarray(src)
+    if src.size == 0 or src.ndim not in (2, 3):
+        raise ValueError(
+            f"expect a 3d rgb image or a 2d grayscale image, got image in shape {src.shape}"
+        )
+    return src
+
+
+def seam_carving(
+    src: np.ndarray,
+    size: Optional[Tuple[int, int]] = None,
+    energy_mode: str = "backward",
+    order: str = "width-first",
+    keep_mask: Optional[np.ndarray] = None,
+    drop_mask: Optional[np.ndarray] = None,
+    step_ratio: float = 0.5,
+) -> np.ndarray:
+    """Resize the image using the content-aware seam-carving algorithm.
+
+    :param src: A source image in RGB or grayscale format.
+    :param size: The target size in pixels, as a 2-tuple (width, height).
+    :param energy_mode: Policy to compute energy for the source image. Could be
+        one of ``backward`` or ``forward``. If ``backward``, compute the energy
+        as the gradient at each pixel. If ``forward``, compute the energy as the
+        distances between adjacent pixels after each pixel is removed.
+    :param order: The order to remove horizontal and vertical seams. Could be
+        one of ``width-first`` or ``height-first``. In ``width-first`` mode, we
+        remove or insert all vertical seams first, then the horizontal ones,
+        while ``height-first`` is the opposite.
+    :param keep_mask: An optional mask where the foreground is protected from
+        seam removal. If not specified, no area will be protected.
+    :param drop_mask: An optional binary object mask to remove. If given, the
+        object will be removed before resizing the image to the target size.
+    :param step_ratio: The maximum size expansion ratio in one seam carving step.
+        The image will be expanded in multiple steps if target size is too large.
+    :return: A resized copy of the source image.
+    """
+    src = _check_src(src)
+
+    if order not in _list_enum(OrderMode):
+        raise ValueError(
+            f"expect order to be one of {_list_enum(OrderMode)}, got {order}"
+        )
+
+    aux_energy = None
+
+    if keep_mask is not None:
+        keep_mask = _check_mask(keep_mask, src.shape[:2])
+
+        aux_energy = np.zeros(src.shape[:2], dtype=np.float32)
+        aux_energy[keep_mask] += KEEP_MASK_ENERGY
+
+    # remove object if `drop_mask` is given
+    if drop_mask is not None:
+        drop_mask = _check_mask(drop_mask, src.shape[:2])
+
+        if aux_energy is None:
+            aux_energy = np.zeros(src.shape[:2], dtype=np.float32)
+        aux_energy[drop_mask] -= DROP_MASK_ENERGY
+
+        if order == OrderMode.HEIGHT_FIRST:
+            src = _transpose_image(src)
+            aux_energy = aux_energy.T
+
+        num_seams = (aux_energy < 0).sum(1).max()
+        while num_seams > 0:
+            src, aux_energy = _reduce_width(src, num_seams, energy_mode, aux_energy)
+            num_seams = (aux_energy < 0).sum(1).max()
+
+        if order == OrderMode.HEIGHT_FIRST:
+            src = _transpose_image(src)
+            aux_energy = aux_energy.T
+
+    # resize image if `size` is given
+    if size is not None:
+        width, height = size
+        width = round(width)
+        height = round(height)
+        if width <= 0 or height <= 0:
+            raise ValueError(f"expect target size to be positive, got {size}")
+
+        if order == OrderMode.WIDTH_FIRST:
+            src, aux_energy = _resize_width(
+                src, width, energy_mode, aux_energy, step_ratio
+            )
+            src, aux_energy = _resize_height(
+                src, height, energy_mode, aux_energy, step_ratio
+            )
+        else:
+            src, aux_energy = _resize_height(
+                src, height, energy_mode, aux_energy, step_ratio
+            )
+            src, aux_energy = _resize_width(
+                src, width, energy_mode, aux_energy, step_ratio
+            )
+
+    return src
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/conditioning.py b/ComfyUI/custom_nodes/ComfyUI_essentials/conditioning.py
new file mode 100644
index 0000000000000000000000000000000000000000..58e199fe8f8d70914cb93df6967a3b97c1136f82
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/conditioning.py
@@ -0,0 +1,100 @@
+import torch
+from nodes import MAX_RESOLUTION, ConditioningZeroOut, ConditioningSetTimestepRange, ConditioningCombine
+
+class CLIPTextEncodeSDXLSimplified:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}),
+            "height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}),
+            "size_cond_factor": ("INT", {"default": 4, "min": 1, "max": 16 }),
+            "text": ("STRING", {"multiline": True, "dynamicPrompts": True, "default": ""}),
+            "clip": ("CLIP", ),
+            }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/conditioning"
+
+    def execute(self, clip, width, height, size_cond_factor, text):
+        crop_w = 0
+        crop_h = 0
+        width = width*size_cond_factor
+        height = height*size_cond_factor
+        target_width = width
+        target_height = height
+        text_g = text_l = text
+
+        tokens = clip.tokenize(text_g)
+        tokens["l"] = clip.tokenize(text_l)["l"]
+        if len(tokens["l"]) != len(tokens["g"]):
+            empty = clip.tokenize("")
+            while len(tokens["l"]) < len(tokens["g"]):
+                tokens["l"] += empty["l"]
+            while len(tokens["l"]) > len(tokens["g"]):
+                tokens["g"] += empty["g"]
+        cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True)
+        return ([[cond, {"pooled_output": pooled, "width": width, "height": height, "crop_w": crop_w, "crop_h": crop_h, "target_width": target_width, "target_height": target_height}]], )
+
+class ConditioningCombineMultiple:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "conditioning_1": ("CONDITIONING",),
+                "conditioning_2": ("CONDITIONING",),
+            }, "optional": {
+                "conditioning_3": ("CONDITIONING",),
+                "conditioning_4": ("CONDITIONING",),
+                "conditioning_5": ("CONDITIONING",),
+            },
+        }
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/conditioning"
+
+    def execute(self, conditioning_1, conditioning_2, conditioning_3=None, conditioning_4=None, conditioning_5=None):
+        c = conditioning_1 + conditioning_2
+
+        if conditioning_3 is not None:
+            c += conditioning_3
+        if conditioning_4 is not None:
+            c += conditioning_4
+        if conditioning_5 is not None:
+            c += conditioning_5
+
+        return (c,)
+
+class SD3NegativeConditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "conditioning": ("CONDITIONING",),
+            "end": ("FLOAT", {"default": 0.1, "min": 0.0, "max": 1.0, "step": 0.001 }),
+        }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/conditioning"
+
+    def execute(self, conditioning, end):
+        zero_c = ConditioningZeroOut().zero_out(conditioning)[0]
+
+        if end == 0:
+            return (zero_c, )
+
+        c = ConditioningSetTimestepRange().set_range(conditioning, 0, end)[0]
+        zero_c = ConditioningSetTimestepRange().set_range(zero_c, end, 1.0)[0]
+        c = ConditioningCombine().combine(zero_c, c)[0]
+
+        return (c, )
+
+COND_CLASS_MAPPINGS = {
+    "CLIPTextEncodeSDXL+": CLIPTextEncodeSDXLSimplified,
+    "ConditioningCombineMultiple+": ConditioningCombineMultiple,
+    "SD3NegativeConditioning+": SD3NegativeConditioning,
+}
+
+COND_NAME_MAPPINGS = {
+    "CLIPTextEncodeSDXL+": "🔧 SDXL CLIPTextEncode",
+    "ConditioningCombineMultiple+": "🔧 Cond Combine Multiple",
+    "SD3NegativeConditioning+": "🔧 SD3 Negative Conditioning"
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/fonts/ShareTechMono-Regular.ttf b/ComfyUI/custom_nodes/ComfyUI_essentials/fonts/ShareTechMono-Regular.ttf
new file mode 100644
index 0000000000000000000000000000000000000000..0ae0b19750c51a751bc45f54622443d55d643999
Binary files /dev/null and b/ComfyUI/custom_nodes/ComfyUI_essentials/fonts/ShareTechMono-Regular.ttf differ
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/fonts/put_font_files_here.txt b/ComfyUI/custom_nodes/ComfyUI_essentials/fonts/put_font_files_here.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/histogram_matching.py b/ComfyUI/custom_nodes/ComfyUI_essentials/histogram_matching.py
new file mode 100644
index 0000000000000000000000000000000000000000..f7b469446ad98c6e310453981c4e439431e98049
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/histogram_matching.py
@@ -0,0 +1,87 @@
+# from MIT licensed https://github.com/nemodleo/pytorch-histogram-matching
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+class Histogram_Matching(nn.Module):
+    def __init__(self, differentiable=False):
+        super(Histogram_Matching, self).__init__()
+        self.differentiable = differentiable
+
+    def forward(self, dst, ref):
+        # B C
+        B, C, H, W = dst.size()
+        # assertion
+        assert dst.device == ref.device
+        # [B*C 256]
+        hist_dst = self.cal_hist(dst)
+        hist_ref = self.cal_hist(ref)
+        # [B*C 256]
+        tables = self.cal_trans_batch(hist_dst, hist_ref)
+        # [B C H W]
+        rst = dst.clone()
+        for b in range(B):
+            for c in range(C):
+                rst[b,c] = tables[b*c, (dst[b,c] * 255).long()]
+        # [B C H W]
+        rst /= 255.
+        return rst
+
+    def cal_hist(self, img):
+        B, C, H, W = img.size()
+        # [B*C 256]
+        if self.differentiable: 
+            hists = self.soft_histc_batch(img * 255, bins=256, min=0, max=256, sigma=3*25)
+        else:
+            hists = torch.stack([torch.histc(img[b,c] * 255, bins=256, min=0, max=255) for b in range(B) for c in range(C)])
+        hists = hists.float()
+        hists = F.normalize(hists, p=1)
+        # BC 256
+        bc, n = hists.size()
+        # [B*C 256 256]
+        triu = torch.ones(bc, n, n, device=hists.device).triu()
+        # [B*C 256]
+        hists = torch.bmm(hists[:,None,:], triu)[:,0,:]
+        return hists
+
+    def soft_histc_batch(self, x, bins=256, min=0, max=256, sigma=3*25):
+        # B C H W
+        B, C, H, W = x.size()
+        # [B*C H*W]
+        x = x.view(B*C, -1)
+        # 1
+        delta = float(max - min) / float(bins)
+        # [256]
+        centers = float(min) + delta * (torch.arange(bins, device=x.device, dtype=torch.bfloat16) + 0.5)
+        # [B*C 1 H*W]
+        x = torch.unsqueeze(x, 1)
+        # [1 256 1]
+        centers = centers[None,:,None]
+        # [B*C 256 H*W]
+        x = x - centers
+        # [B*C 256 H*W]
+        x = x.type(torch.bfloat16)
+        # [B*C 256 H*W]
+        x = torch.sigmoid(sigma * (x + delta/2)) - torch.sigmoid(sigma * (x - delta/2))
+        # [B*C 256]
+        x = x.sum(dim=2)
+        # [B*C 256]
+        x = x.type(torch.float32)
+        # prevent oom
+        # torch.cuda.empty_cache()
+        return x
+
+    def cal_trans_batch(self, hist_dst, hist_ref):
+        # [B*C 256 256]
+        hist_dst = hist_dst[:,None,:].repeat(1,256,1)
+        # [B*C 256 256]
+        hist_ref = hist_ref[:,:,None].repeat(1,1,256)
+        # [B*C 256 256]
+        table = hist_dst - hist_ref
+        # [B*C 256 256]
+        table = torch.where(table>=0, 1., 0.)
+        # [B*C 256]
+        table = torch.sum(table, dim=1) - 1
+        # [B*C 256]
+        table = torch.clamp(table, min=0, max=255)
+        return table
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/image.py b/ComfyUI/custom_nodes/ComfyUI_essentials/image.py
new file mode 100644
index 0000000000000000000000000000000000000000..d2ee3e3ae350befd7a2f299f44bf8ed3ab26ad92
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/image.py
@@ -0,0 +1,1770 @@
+from .utils import max_, min_
+from nodes import MAX_RESOLUTION
+import comfy.utils
+from nodes import SaveImage
+from node_helpers import pillow
+from PIL import Image, ImageOps
+
+import kornia
+import torch
+import torch.nn.functional as F
+import torchvision.transforms.v2 as T
+
+#import warnings
+#warnings.filterwarnings('ignore', module="torchvision")
+import math
+import os
+import numpy as np
+import folder_paths
+from pathlib import Path
+import random
+
+"""
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    Image analysis
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+"""
+
+class ImageEnhanceDifference:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image1": ("IMAGE",),
+                "image2": ("IMAGE",),
+                "exponent": ("FLOAT", { "default": 0.75, "min": 0.00, "max": 1.00, "step": 0.05, }),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image analysis"
+
+    def execute(self, image1, image2, exponent):
+        if image1.shape[1:] != image2.shape[1:]:
+            image2 = comfy.utils.common_upscale(image2.permute([0,3,1,2]), image1.shape[2], image1.shape[1], upscale_method='bicubic', crop='center').permute([0,2,3,1])
+
+        diff_image = image1 - image2
+        diff_image = torch.pow(diff_image, exponent)
+        diff_image = torch.clamp(diff_image, 0, 1)
+
+        return(diff_image,)
+
+"""
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    Batch tools
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+"""
+
+class ImageBatchMultiple:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image_1": ("IMAGE",),
+                "method": (["nearest-exact", "bilinear", "area", "bicubic", "lanczos"], { "default": "lanczos" }),
+            }, "optional": {
+                "image_2": ("IMAGE",),
+                "image_3": ("IMAGE",),
+                "image_4": ("IMAGE",),
+                "image_5": ("IMAGE",),
+            },
+        }
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image batch"
+
+    def execute(self, image_1, method, image_2=None, image_3=None, image_4=None, image_5=None):
+        out = image_1
+
+        if image_2 is not None:
+            if image_1.shape[1:] != image_2.shape[1:]:
+                image_2 = comfy.utils.common_upscale(image_2.movedim(-1,1), image_1.shape[2], image_1.shape[1], method, "center").movedim(1,-1)
+            out = torch.cat((image_1, image_2), dim=0)
+        if image_3 is not None:
+            if image_1.shape[1:] != image_3.shape[1:]:
+                image_3 = comfy.utils.common_upscale(image_3.movedim(-1,1), image_1.shape[2], image_1.shape[1], method, "center").movedim(1,-1)
+            out = torch.cat((out, image_3), dim=0)
+        if image_4 is not None:
+            if image_1.shape[1:] != image_4.shape[1:]:
+                image_4 = comfy.utils.common_upscale(image_4.movedim(-1,1), image_1.shape[2], image_1.shape[1], method, "center").movedim(1,-1)
+            out = torch.cat((out, image_4), dim=0)
+        if image_5 is not None:
+            if image_1.shape[1:] != image_5.shape[1:]:
+                image_5 = comfy.utils.common_upscale(image_5.movedim(-1,1), image_1.shape[2], image_1.shape[1], method, "center").movedim(1,-1)
+            out = torch.cat((out, image_5), dim=0)
+
+        return (out,)
+
+
+class ImageExpandBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "size": ("INT", { "default": 16, "min": 1, "step": 1, }),
+                "method": (["expand", "repeat all", "repeat first", "repeat last"],)
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image batch"
+
+    def execute(self, image, size, method):
+        orig_size = image.shape[0]
+
+        if orig_size == size:
+            return (image,)
+
+        if size <= 1:
+            return (image[:size],)
+
+        if 'expand' in method:
+            out = torch.empty([size] + list(image.shape)[1:], dtype=image.dtype, device=image.device)
+            if size < orig_size:
+                scale = (orig_size - 1) / (size - 1)
+                for i in range(size):
+                    out[i] = image[min(round(i * scale), orig_size - 1)]
+            else:
+                scale = orig_size / size
+                for i in range(size):
+                    out[i] = image[min(math.floor((i + 0.5) * scale), orig_size - 1)]
+        elif 'all' in method:
+            out = image.repeat([math.ceil(size / image.shape[0])] + [1] * (len(image.shape) - 1))[:size]
+        elif 'first' in method:
+            if size < image.shape[0]:
+                out = image[:size]
+            else:
+                out = torch.cat([image[:1].repeat(size-image.shape[0], 1, 1, 1), image], dim=0)
+        elif 'last' in method:
+            if size < image.shape[0]:
+                out = image[:size]
+            else:
+                out = torch.cat((image, image[-1:].repeat((size-image.shape[0], 1, 1, 1))), dim=0)
+
+        return (out,)
+
+class ImageFromBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE", ),
+                "start": ("INT", { "default": 0, "min": 0, "step": 1, }),
+                "length": ("INT", { "default": -1, "min": -1, "step": 1, }),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image batch"
+
+    def execute(self, image, start, length):
+        if length<0:
+            length = image.shape[0]
+        start = min(start, image.shape[0]-1)
+        length = min(image.shape[0]-start, length)
+        return (image[start:start + length], )
+
+
+class ImageListToBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    INPUT_IS_LIST = True
+    CATEGORY = "essentials/image batch"
+
+    def execute(self, image):
+        shape = image[0].shape[1:3]
+        out = []
+
+        for i in range(len(image)):
+            img = image[i]
+            if image[i].shape[1:3] != shape:
+                img = comfy.utils.common_upscale(img.permute([0,3,1,2]), shape[1], shape[0], upscale_method='bicubic', crop='center').permute([0,2,3,1])
+            out.append(img)
+
+        out = torch.cat(out, dim=0)
+
+        return (out,)
+
+class ImageBatchToList:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    OUTPUT_IS_LIST = (True,)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image batch"
+
+    def execute(self, image):
+        return ([image[i].unsqueeze(0) for i in range(image.shape[0])], )
+
+
+"""
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    Image manipulation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+"""
+
+class ImageCompositeFromMaskBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image_from": ("IMAGE", ),
+                "image_to": ("IMAGE", ),
+                "mask": ("MASK", )
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, image_from, image_to, mask):
+        frames = mask.shape[0]
+
+        if image_from.shape[1] != image_to.shape[1] or image_from.shape[2] != image_to.shape[2]:
+            image_to = comfy.utils.common_upscale(image_to.permute([0,3,1,2]), image_from.shape[2], image_from.shape[1], upscale_method='bicubic', crop='center').permute([0,2,3,1])
+
+        if frames < image_from.shape[0]:
+            image_from = image_from[:frames]
+        elif frames > image_from.shape[0]:
+            image_from = torch.cat((image_from, image_from[-1].unsqueeze(0).repeat(frames-image_from.shape[0], 1, 1, 1)), dim=0)
+
+        mask = mask.unsqueeze(3).repeat(1, 1, 1, 3)
+
+        if image_from.shape[1] != mask.shape[1] or image_from.shape[2] != mask.shape[2]:
+            mask = comfy.utils.common_upscale(mask.permute([0,3,1,2]), image_from.shape[2], image_from.shape[1], upscale_method='bicubic', crop='center').permute([0,2,3,1])
+
+        out = mask * image_to + (1 - mask) * image_from
+
+        return (out, )
+
+class ImageComposite:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "destination": ("IMAGE",),
+                "source": ("IMAGE",),
+                "x": ("INT", { "default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1 }),
+                "y": ("INT", { "default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1 }),
+                "offset_x": ("INT", { "default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1 }),
+                "offset_y": ("INT", { "default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1 }),
+            },
+            "optional": {
+                "mask": ("MASK",),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, destination, source, x, y, offset_x, offset_y, mask=None):
+        if mask is None:
+            mask = torch.ones_like(source)[:,:,:,0]
+        
+        mask = mask.unsqueeze(-1).repeat(1, 1, 1, 3)
+
+        if mask.shape[1:3] != source.shape[1:3]:
+            mask = F.interpolate(mask.permute([0, 3, 1, 2]), size=(source.shape[1], source.shape[2]), mode='bicubic')
+            mask = mask.permute([0, 2, 3, 1])
+        
+        if mask.shape[0] > source.shape[0]:
+            mask = mask[:source.shape[0]]
+        elif mask.shape[0] < source.shape[0]:
+            mask = torch.cat((mask, mask[-1:].repeat((source.shape[0]-mask.shape[0], 1, 1, 1))), dim=0)
+        
+        if destination.shape[0] > source.shape[0]:
+            destination = destination[:source.shape[0]]
+        elif destination.shape[0] < source.shape[0]:
+            destination = torch.cat((destination, destination[-1:].repeat((source.shape[0]-destination.shape[0], 1, 1, 1))), dim=0)
+        
+        if not isinstance(x, list):
+            x = [x]
+        if not isinstance(y, list):
+            y = [y]
+        
+        if len(x) < destination.shape[0]:
+            x = x + [x[-1]] * (destination.shape[0] - len(x))
+        if len(y) < destination.shape[0]:
+            y = y + [y[-1]] * (destination.shape[0] - len(y))
+        
+        x = [i + offset_x for i in x]
+        y = [i + offset_y for i in y]
+
+        output = []
+        for i in range(destination.shape[0]):
+            d = destination[i].clone()
+            s = source[i]
+            m = mask[i]
+
+            if x[i]+source.shape[2] > destination.shape[2]:
+                s = s[:, :, :destination.shape[2]-x[i], :]
+                m = m[:, :, :destination.shape[2]-x[i], :]
+            if y[i]+source.shape[1] > destination.shape[1]:
+                s = s[:, :destination.shape[1]-y[i], :, :]
+                m = m[:destination.shape[1]-y[i], :, :]
+            
+            #output.append(s * m + d[y[i]:y[i]+s.shape[0], x[i]:x[i]+s.shape[1], :] * (1 - m))
+            d[y[i]:y[i]+s.shape[0], x[i]:x[i]+s.shape[1], :] = s * m + d[y[i]:y[i]+s.shape[0], x[i]:x[i]+s.shape[1], :] * (1 - m)
+            output.append(d)
+        
+        output = torch.stack(output)
+
+        # apply the source to the destination at XY position using the mask
+        #for i in range(destination.shape[0]):
+        #    output[i, y[i]:y[i]+source.shape[1], x[i]:x[i]+source.shape[2], :] = source * mask + destination[i, y[i]:y[i]+source.shape[1], x[i]:x[i]+source.shape[2], :] * (1 - mask)
+
+        #for x_, y_ in zip(x, y):
+        #    output[:, y_:y_+source.shape[1], x_:x_+source.shape[2], :] = source * mask + destination[:, y_:y_+source.shape[1], x_:x_+source.shape[2], :] * (1 - mask)
+
+        #output[:, y:y+source.shape[1], x:x+source.shape[2], :] = source * mask + destination[:, y:y+source.shape[1], x:x+source.shape[2], :] * (1 - mask)
+        #output = destination * (1 - mask) + source * mask
+
+        return (output,)
+
+class ImageResize:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "width": ("INT", { "default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 1, }),
+                "height": ("INT", { "default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 1, }),
+                "interpolation": (["nearest", "bilinear", "bicubic", "area", "nearest-exact", "lanczos"],),
+                "method": (["stretch", "keep proportion", "fill / crop", "pad"],),
+                "condition": (["always", "downscale if bigger", "upscale if smaller", "if bigger area", "if smaller area"],),
+                "multiple_of": ("INT", { "default": 0, "min": 0, "max": 512, "step": 1, }),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "INT", "INT",)
+    RETURN_NAMES = ("IMAGE", "width", "height",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, image, width, height, method="stretch", interpolation="nearest", condition="always", multiple_of=0, keep_proportion=False):
+        _, oh, ow, _ = image.shape
+        x = y = x2 = y2 = 0
+        pad_left = pad_right = pad_top = pad_bottom = 0
+
+        if keep_proportion:
+            method = "keep proportion"
+
+        if multiple_of > 1:
+            width = width - (width % multiple_of)
+            height = height - (height % multiple_of)
+
+        if method == 'keep proportion' or method == 'pad':
+            if width == 0 and oh < height:
+                width = MAX_RESOLUTION
+            elif width == 0 and oh >= height:
+                width = ow
+
+            if height == 0 and ow < width:
+                height = MAX_RESOLUTION
+            elif height == 0 and ow >= width:
+                height = oh
+
+            ratio = min(width / ow, height / oh)
+            new_width = round(ow*ratio)
+            new_height = round(oh*ratio)
+
+            if method == 'pad':
+                pad_left = (width - new_width) // 2
+                pad_right = width - new_width - pad_left
+                pad_top = (height - new_height) // 2
+                pad_bottom = height - new_height - pad_top
+
+            width = new_width
+            height = new_height
+        elif method.startswith('fill'):
+            width = width if width > 0 else ow
+            height = height if height > 0 else oh
+
+            ratio = max(width / ow, height / oh)
+            new_width = round(ow*ratio)
+            new_height = round(oh*ratio)
+            x = (new_width - width) // 2
+            y = (new_height - height) // 2
+            x2 = x + width
+            y2 = y + height
+            if x2 > new_width:
+                x -= (x2 - new_width)
+            if x < 0:
+                x = 0
+            if y2 > new_height:
+                y -= (y2 - new_height)
+            if y < 0:
+                y = 0
+            width = new_width
+            height = new_height
+        else:
+            width = width if width > 0 else ow
+            height = height if height > 0 else oh
+
+        if "always" in condition \
+            or ("downscale if bigger" == condition and (oh > height or ow > width)) or ("upscale if smaller" == condition and (oh < height or ow < width)) \
+            or ("bigger area" in condition and (oh * ow > height * width)) or ("smaller area" in condition and (oh * ow < height * width)):
+
+            outputs = image.permute(0,3,1,2)
+
+            if interpolation == "lanczos":
+                outputs = comfy.utils.lanczos(outputs, width, height)
+            else:
+                outputs = F.interpolate(outputs, size=(height, width), mode=interpolation)
+
+            if method == 'pad':
+                if pad_left > 0 or pad_right > 0 or pad_top > 0 or pad_bottom > 0:
+                    outputs = F.pad(outputs, (pad_left, pad_right, pad_top, pad_bottom), value=0)
+
+            outputs = outputs.permute(0,2,3,1)
+
+            if method.startswith('fill'):
+                if x > 0 or y > 0 or x2 > 0 or y2 > 0:
+                    outputs = outputs[:, y:y2, x:x2, :]
+        else:
+            outputs = image
+
+        if multiple_of > 1 and (outputs.shape[2] % multiple_of != 0 or outputs.shape[1] % multiple_of != 0):
+            width = outputs.shape[2]
+            height = outputs.shape[1]
+            x = (width % multiple_of) // 2
+            y = (height % multiple_of) // 2
+            x2 = width - ((width % multiple_of) - x)
+            y2 = height - ((height % multiple_of) - y)
+            outputs = outputs[:, y:y2, x:x2, :]
+        
+        outputs = torch.clamp(outputs, 0, 1)
+
+        return(outputs, outputs.shape[2], outputs.shape[1],)
+
+class ImageFlip:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "axis": (["x", "y", "xy"],),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, image, axis):
+        dim = ()
+        if "y" in axis:
+            dim += (1,)
+        if "x" in axis:
+            dim += (2,)
+        image = torch.flip(image, dim)
+
+        return(image,)
+
+class ImageCrop:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "width": ("INT", { "default": 256, "min": 0, "max": MAX_RESOLUTION, "step": 8, }),
+                "height": ("INT", { "default": 256, "min": 0, "max": MAX_RESOLUTION, "step": 8, }),
+                "position": (["top-left", "top-center", "top-right", "right-center", "bottom-right", "bottom-center", "bottom-left", "left-center", "center"],),
+                "x_offset": ("INT", { "default": 0, "min": -99999, "step": 1, }),
+                "y_offset": ("INT", { "default": 0, "min": -99999, "step": 1, }),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE","INT","INT",)
+    RETURN_NAMES = ("IMAGE","x","y",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, image, width, height, position, x_offset, y_offset):
+        _, oh, ow, _ = image.shape
+
+        width = min(ow, width)
+        height = min(oh, height)
+
+        if "center" in position:
+            x = round((ow-width) / 2)
+            y = round((oh-height) / 2)
+        if "top" in position:
+            y = 0
+        if "bottom" in position:
+            y = oh-height
+        if "left" in position:
+            x = 0
+        if "right" in position:
+            x = ow-width
+
+        x += x_offset
+        y += y_offset
+
+        x2 = x+width
+        y2 = y+height
+
+        if x2 > ow:
+            x2 = ow
+        if x < 0:
+            x = 0
+        if y2 > oh:
+            y2 = oh
+        if y < 0:
+            y = 0
+
+        image = image[:, y:y2, x:x2, :]
+
+        return(image, x, y, )
+
+class ImageTile:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "rows": ("INT", { "default": 2, "min": 1, "max": 256, "step": 1, }),
+                "cols": ("INT", { "default": 2, "min": 1, "max": 256, "step": 1, }),
+                "overlap": ("FLOAT", { "default": 0, "min": 0, "max": 0.5, "step": 0.01, }),
+                "overlap_x": ("INT", { "default": 0, "min": 0, "max": MAX_RESOLUTION//2, "step": 1, }),
+                "overlap_y": ("INT", { "default": 0, "min": 0, "max": MAX_RESOLUTION//2, "step": 1, }),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "INT", "INT", "INT", "INT")
+    RETURN_NAMES = ("IMAGE", "tile_width", "tile_height", "overlap_x", "overlap_y",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, image, rows, cols, overlap, overlap_x, overlap_y):
+        h, w = image.shape[1:3]
+        tile_h = h // rows
+        tile_w = w // cols
+        h = tile_h * rows
+        w = tile_w * cols
+        overlap_h = int(tile_h * overlap) + overlap_y
+        overlap_w = int(tile_w * overlap) + overlap_x
+
+        # max overlap is half of the tile size
+        overlap_h = min(tile_h // 2, overlap_h)
+        overlap_w = min(tile_w // 2, overlap_w)
+
+        if rows == 1:
+            overlap_h = 0
+        if cols == 1:
+            overlap_w = 0
+        
+        tiles = []
+        for i in range(rows):
+            for j in range(cols):
+                y1 = i * tile_h
+                x1 = j * tile_w
+
+                if i > 0:
+                    y1 -= overlap_h
+                if j > 0:
+                    x1 -= overlap_w
+
+                y2 = y1 + tile_h + overlap_h
+                x2 = x1 + tile_w + overlap_w
+
+                if y2 > h:
+                    y2 = h
+                    y1 = y2 - tile_h - overlap_h
+                if x2 > w:
+                    x2 = w
+                    x1 = x2 - tile_w - overlap_w
+
+                tiles.append(image[:, y1:y2, x1:x2, :])
+        tiles = torch.cat(tiles, dim=0)
+
+        return(tiles, tile_w+overlap_w, tile_h+overlap_h, overlap_w, overlap_h,)
+
+class ImageUntile:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "tiles": ("IMAGE",),
+                "overlap_x": ("INT", { "default": 0, "min": 0, "max": MAX_RESOLUTION//2, "step": 1, }),
+                "overlap_y": ("INT", { "default": 0, "min": 0, "max": MAX_RESOLUTION//2, "step": 1, }),
+                "rows": ("INT", { "default": 2, "min": 1, "max": 256, "step": 1, }),
+                "cols": ("INT", { "default": 2, "min": 1, "max": 256, "step": 1, }),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, tiles, overlap_x, overlap_y, rows, cols):
+        tile_h, tile_w = tiles.shape[1:3]
+        tile_h -= overlap_y
+        tile_w -= overlap_x
+        out_w = cols * tile_w
+        out_h = rows * tile_h
+
+        out = torch.zeros((1, out_h, out_w, tiles.shape[3]), device=tiles.device, dtype=tiles.dtype)
+
+        for i in range(rows):
+            for j in range(cols):
+                y1 = i * tile_h
+                x1 = j * tile_w
+
+                if i > 0:
+                    y1 -= overlap_y
+                if j > 0:
+                    x1 -= overlap_x
+
+                y2 = y1 + tile_h + overlap_y
+                x2 = x1 + tile_w + overlap_x
+
+                if y2 > out_h:
+                    y2 = out_h
+                    y1 = y2 - tile_h - overlap_y
+                if x2 > out_w:
+                    x2 = out_w
+                    x1 = x2 - tile_w - overlap_x
+                
+                mask = torch.ones((1, tile_h+overlap_y, tile_w+overlap_x), device=tiles.device, dtype=tiles.dtype)
+
+                # feather the overlap on top
+                if i > 0 and overlap_y > 0:
+                    mask[:, :overlap_y, :] *= torch.linspace(0, 1, overlap_y, device=tiles.device, dtype=tiles.dtype).unsqueeze(1)
+                # feather the overlap on bottom
+                #if i < rows - 1:
+                #    mask[:, -overlap_y:, :] *= torch.linspace(1, 0, overlap_y, device=tiles.device, dtype=tiles.dtype).unsqueeze(1)
+                # feather the overlap on left
+                if j > 0 and overlap_x > 0:
+                    mask[:, :, :overlap_x] *= torch.linspace(0, 1, overlap_x, device=tiles.device, dtype=tiles.dtype).unsqueeze(0)
+                # feather the overlap on right
+                #if j < cols - 1:
+                #    mask[:, :, -overlap_x:] *= torch.linspace(1, 0, overlap_x, device=tiles.device, dtype=tiles.dtype).unsqueeze(0)
+                
+                mask = mask.unsqueeze(-1).repeat(1, 1, 1, tiles.shape[3])
+                tile = tiles[i * cols + j] * mask
+                out[:, y1:y2, x1:x2, :] = out[:, y1:y2, x1:x2, :] * (1 - mask) + tile
+        return(out, )
+
+class ImageSeamCarving:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "width": ("INT", { "default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1, }),
+                "height": ("INT", { "default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1, }),
+                "energy": (["backward", "forward"],),
+                "order": (["width-first", "height-first"],),
+            },
+            "optional": {
+                "keep_mask": ("MASK",),
+                "drop_mask": ("MASK",),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    CATEGORY = "essentials/image manipulation"
+    FUNCTION = "execute"
+
+    def execute(self, image, width, height, energy, order, keep_mask=None, drop_mask=None):
+        from .carve import seam_carving
+
+        img = image.permute([0, 3, 1, 2])
+
+        if keep_mask is not None:
+            #keep_mask = keep_mask.reshape((-1, 1, keep_mask.shape[-2], keep_mask.shape[-1])).movedim(1, -1)
+            keep_mask = keep_mask.unsqueeze(1)
+
+            if keep_mask.shape[2] != img.shape[2] or keep_mask.shape[3] != img.shape[3]:
+                keep_mask = F.interpolate(keep_mask, size=(img.shape[2], img.shape[3]), mode="bilinear")
+        if drop_mask is not None:
+            drop_mask = drop_mask.unsqueeze(1)
+
+            if drop_mask.shape[2] != img.shape[2] or drop_mask.shape[3] != img.shape[3]:
+                drop_mask = F.interpolate(drop_mask, size=(img.shape[2], img.shape[3]), mode="bilinear")
+
+        out = []
+        for i in range(img.shape[0]):
+            resized = seam_carving(
+                T.ToPILImage()(img[i]),
+                size=(width, height),
+                energy_mode=energy,
+                order=order,
+                keep_mask=T.ToPILImage()(keep_mask[i]) if keep_mask is not None else None,
+                drop_mask=T.ToPILImage()(drop_mask[i]) if drop_mask is not None else None,
+            )
+            out.append(T.ToTensor()(resized))
+
+        out = torch.stack(out).permute([0, 2, 3, 1])
+
+        return(out, )
+
+class ImageRandomTransform:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+                "repeat": ("INT", { "default": 1, "min": 1, "max": 256, "step": 1, }),
+                "variation": ("FLOAT", { "default": 0.1, "min": 0.0, "max": 1.0, "step": 0.05, }),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, image, seed, repeat, variation):
+        h, w = image.shape[1:3]
+        image = image.repeat(repeat, 1, 1, 1).permute([0, 3, 1, 2])
+
+        distortion = 0.2 * variation
+        rotation = 5 * variation
+        brightness = 0.5 * variation
+        contrast = 0.5 * variation
+        saturation = 0.5 * variation
+        hue = 0.2 * variation
+        scale = 0.5 * variation
+
+        torch.manual_seed(seed)
+
+        out = []
+        for i in image:
+            tramsforms = T.Compose([
+                T.RandomPerspective(distortion_scale=distortion, p=0.5),
+                T.RandomRotation(degrees=rotation, interpolation=T.InterpolationMode.BILINEAR, expand=True),
+                T.ColorJitter(brightness=brightness, contrast=contrast, saturation=saturation, hue=(-hue, hue)),
+                T.RandomHorizontalFlip(p=0.5),
+                T.RandomResizedCrop((h, w), scale=(1-scale, 1+scale), ratio=(w/h, w/h), interpolation=T.InterpolationMode.BICUBIC),
+            ])
+            out.append(tramsforms(i.unsqueeze(0)))
+
+        out = torch.cat(out, dim=0).permute([0, 2, 3, 1]).clamp(0, 1)
+
+        return (out,)
+
+class RemBGSession:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "model": (["u2net: general purpose", "u2netp: lightweight general purpose", "u2net_human_seg: human segmentation", "u2net_cloth_seg: cloths Parsing", "silueta: very small u2net", "isnet-general-use: general purpose", "isnet-anime: anime illustrations", "sam: general purpose"],),
+                "providers": (['CPU', 'CUDA', 'ROCM', 'DirectML', 'OpenVINO', 'CoreML', 'Tensorrt', 'Azure'],),
+            },
+        }
+
+    RETURN_TYPES = ("REMBG_SESSION",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, model, providers):
+        from rembg import new_session, remove
+
+        model = model.split(":")[0]
+
+        class Session:
+            def __init__(self, model, providers):
+                self.session = new_session(model, providers=[providers+"ExecutionProvider"])
+            def process(self, image):
+                return remove(image, session=self.session)
+            
+        return (Session(model, providers),)
+
+class TransparentBGSession:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mode": (["base", "fast", "base-nightly"],),
+                "use_jit": ("BOOLEAN", { "default": True }),
+            },
+        }
+
+    RETURN_TYPES = ("REMBG_SESSION",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, mode, use_jit):
+        from transparent_background import Remover
+
+        class Session:
+            def __init__(self, mode, use_jit):
+                self.session = Remover(mode=mode, jit=use_jit)
+            def process(self, image):
+                return self.session.process(image)
+
+        return (Session(mode, use_jit),)
+
+class ImageRemoveBackground:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "rembg_session": ("REMBG_SESSION",),
+                "image": ("IMAGE",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image manipulation"
+
+    def execute(self, rembg_session, image):
+        image = image.permute([0, 3, 1, 2])
+        output = []
+        for img in image:
+            img = T.ToPILImage()(img)
+            img = rembg_session.process(img)
+            output.append(T.ToTensor()(img))
+
+        output = torch.stack(output, dim=0)
+        output = output.permute([0, 2, 3, 1])
+        mask = output[:, :, :, 3] if output.shape[3] == 4 else torch.ones_like(output[:, :, :, 0])
+        # output = output[:, :, :, :3]
+
+        return(output, mask,)
+
+"""
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    Image processing
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+"""
+
+class ImageDesaturate:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "factor": ("FLOAT", { "default": 1.00, "min": 0.00, "max": 1.00, "step": 0.05, }),
+                "method": (["luminance (Rec.709)", "luminance (Rec.601)", "average", "lightness"],),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image processing"
+
+    def execute(self, image, factor, method):
+        if method == "luminance (Rec.709)":
+            grayscale = 0.2126 * image[..., 0] + 0.7152 * image[..., 1] + 0.0722 * image[..., 2]
+        elif method == "luminance (Rec.601)":
+            grayscale = 0.299 * image[..., 0] + 0.587 * image[..., 1] + 0.114 * image[..., 2]
+        elif method == "average":
+            grayscale = image.mean(dim=3)
+        elif method == "lightness":
+            grayscale = (torch.max(image, dim=3)[0] + torch.min(image, dim=3)[0]) / 2
+
+        grayscale = (1.0 - factor) * image + factor * grayscale.unsqueeze(-1).repeat(1, 1, 1, 3)
+        grayscale = torch.clamp(grayscale, 0, 1)
+
+        return(grayscale,)
+
+class PixelOEPixelize:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "downscale_mode": (["contrast", "bicubic", "nearest", "center", "k-centroid"],),
+                "target_size": ("INT", { "default": 128, "min": 0, "max": MAX_RESOLUTION, "step": 8 }),
+                "patch_size": ("INT", { "default": 16, "min": 4, "max": 32, "step": 2 }),
+                "thickness": ("INT", { "default": 2, "min": 1, "max": 16, "step": 1 }),
+                "color_matching": ("BOOLEAN", { "default": True }),
+                "upscale": ("BOOLEAN", { "default": True }),
+                #"contrast": ("FLOAT", { "default": 1.0, "min": 0.0, "max": 100.0, "step": 0.1 }),
+                #"saturation": ("FLOAT", { "default": 1.0, "min": 0.0, "max": 100.0, "step": 0.1 }),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image processing"
+
+    def execute(self, image, downscale_mode, target_size, patch_size, thickness, color_matching, upscale):
+        from pixeloe.pixelize import pixelize
+
+        image = image.clone().mul(255).clamp(0, 255).byte().cpu().numpy()
+        output = []
+        for img in image:
+            img = pixelize(img,
+                           mode=downscale_mode,
+                           target_size=target_size,
+                           patch_size=patch_size,
+                           thickness=thickness,
+                           contrast=1.0,
+                           saturation=1.0,
+                           color_matching=color_matching,
+                           no_upscale=not upscale)
+            output.append(T.ToTensor()(img))
+
+        output = torch.stack(output, dim=0).permute([0, 2, 3, 1])
+
+        return(output,)
+
+class ImagePosterize:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "threshold": ("FLOAT", { "default": 0.50, "min": 0.00, "max": 1.00, "step": 0.05, }),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image processing"
+
+    def execute(self, image, threshold):
+        image = image.mean(dim=3, keepdim=True)
+        image = (image > threshold).float()
+        image = image.repeat(1, 1, 1, 3)
+
+        return(image,)
+
+# From https://github.com/yoonsikp/pycubelut/blob/master/pycubelut.py (MIT license)
+class ImageApplyLUT:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "lut_file": (folder_paths.get_filename_list("luts"),),
+                "gamma_correction": ("BOOLEAN", { "default": True }),
+                "clip_values": ("BOOLEAN", { "default": True }),
+                "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.1 }),
+            }}
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image processing"
+
+    # TODO: check if we can do without numpy
+    def execute(self, image, lut_file, gamma_correction, clip_values, strength):
+        lut_file_path = folder_paths.get_full_path("luts", lut_file)
+        if not lut_file_path or not Path(lut_file_path).exists():
+            print(f"Could not find LUT file: {lut_file_path}")
+            return (image,)
+            
+        from colour.io.luts.iridas_cube import read_LUT_IridasCube
+        
+        device = image.device
+        lut = read_LUT_IridasCube(lut_file_path)
+        lut.name = lut_file
+
+        if clip_values:
+            if lut.domain[0].max() == lut.domain[0].min() and lut.domain[1].max() == lut.domain[1].min():
+                lut.table = np.clip(lut.table, lut.domain[0, 0], lut.domain[1, 0])
+            else:
+                if len(lut.table.shape) == 2:  # 3x1D
+                    for dim in range(3):
+                        lut.table[:, dim] = np.clip(lut.table[:, dim], lut.domain[0, dim], lut.domain[1, dim])
+                else:  # 3D
+                    for dim in range(3):
+                        lut.table[:, :, :, dim] = np.clip(lut.table[:, :, :, dim], lut.domain[0, dim], lut.domain[1, dim])
+
+        out = []
+        for img in image: # TODO: is this more resource efficient? should we use a batch instead?
+            lut_img = img.cpu().numpy().copy()
+
+            is_non_default_domain = not np.array_equal(lut.domain, np.array([[0., 0., 0.], [1., 1., 1.]]))
+            dom_scale = None
+            if is_non_default_domain:
+                dom_scale = lut.domain[1] - lut.domain[0]
+                lut_img = lut_img * dom_scale + lut.domain[0]
+            if gamma_correction:
+                lut_img = lut_img ** (1/2.2)
+            lut_img = lut.apply(lut_img)
+            if gamma_correction:
+                lut_img = lut_img ** (2.2)
+            if is_non_default_domain:
+                lut_img = (lut_img - lut.domain[0]) / dom_scale
+
+            lut_img = torch.from_numpy(lut_img).to(device)
+            if strength < 1.0:
+                lut_img = strength * lut_img + (1 - strength) * img
+            out.append(lut_img)
+
+        out = torch.stack(out)
+
+        return (out, )
+
+# From https://github.com/Jamy-L/Pytorch-Contrast-Adaptive-Sharpening/
+class ImageCAS:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "amount": ("FLOAT", {"default": 0.8, "min": 0, "max": 1, "step": 0.05}),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    CATEGORY = "essentials/image processing"
+    FUNCTION = "execute"
+
+    def execute(self, image, amount):
+        epsilon = 1e-5
+        img = F.pad(image.permute([0,3,1,2]), pad=(1, 1, 1, 1))
+
+        a = img[..., :-2, :-2]
+        b = img[..., :-2, 1:-1]
+        c = img[..., :-2, 2:]
+        d = img[..., 1:-1, :-2]
+        e = img[..., 1:-1, 1:-1]
+        f = img[..., 1:-1, 2:]
+        g = img[..., 2:, :-2]
+        h = img[..., 2:, 1:-1]
+        i = img[..., 2:, 2:]
+
+        # Computing contrast
+        cross = (b, d, e, f, h)
+        mn = min_(cross)
+        mx = max_(cross)
+
+        diag = (a, c, g, i)
+        mn2 = min_(diag)
+        mx2 = max_(diag)
+        mx = mx + mx2
+        mn = mn + mn2
+
+        # Computing local weight
+        inv_mx = torch.reciprocal(mx + epsilon)
+        amp = inv_mx * torch.minimum(mn, (2 - mx))
+
+        # scaling
+        amp = torch.sqrt(amp)
+        w = - amp * (amount * (1/5 - 1/8) + 1/8)
+        div = torch.reciprocal(1 + 4*w)
+
+        output = ((b + d + f + h)*w + e) * div
+        output = output.clamp(0, 1)
+        #output = torch.nan_to_num(output)
+
+        output = output.permute([0,2,3,1])
+
+        return (output,)
+
+class ImageSmartSharpen:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "noise_radius": ("INT", { "default": 7, "min": 1, "max": 25, "step": 1, }),
+                "preserve_edges": ("FLOAT", { "default": 0.75, "min": 0.0, "max": 1.0, "step": 0.05 }),
+                "sharpen": ("FLOAT", { "default": 5.0, "min": 0.0, "max": 25.0, "step": 0.5 }),
+                "ratio": ("FLOAT", { "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.1 }),
+        }}
+
+    RETURN_TYPES = ("IMAGE",)
+    CATEGORY = "essentials/image processing"
+    FUNCTION = "execute"
+
+    def execute(self, image, noise_radius, preserve_edges, sharpen, ratio):
+        import cv2
+
+        output = []
+        #diagonal = np.sqrt(image.shape[1]**2 + image.shape[2]**2)
+        if preserve_edges > 0:
+            preserve_edges = max(1 - preserve_edges, 0.05)
+
+        for img in image:
+            if noise_radius > 1:
+                sigma = 0.3 * ((noise_radius - 1) * 0.5 - 1) + 0.8 # this is what pytorch uses for blur
+                #sigma_color = preserve_edges * (diagonal / 2048)
+                blurred = cv2.bilateralFilter(img.cpu().numpy(), noise_radius, preserve_edges, sigma)
+                blurred = torch.from_numpy(blurred)
+            else:
+                blurred = img
+
+            if sharpen > 0:
+                sharpened = kornia.enhance.sharpness(img.permute(2,0,1), sharpen).permute(1,2,0)
+            else:
+                sharpened = img
+
+            img = ratio * sharpened + (1 - ratio) * blurred
+            img = torch.clamp(img, 0, 1)
+            output.append(img)
+        
+        del blurred, sharpened
+        output = torch.stack(output)
+
+        return (output,)
+
+
+class ExtractKeyframes:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "threshold": ("FLOAT", { "default": 0.85, "min": 0.00, "max": 1.00, "step": 0.01, }),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "STRING")
+    RETURN_NAMES = ("KEYFRAMES", "indexes")
+
+    FUNCTION = "execute"
+    CATEGORY = "essentials"
+
+    def execute(self, image, threshold):
+        window_size = 2
+
+        variations = torch.sum(torch.abs(image[1:] - image[:-1]), dim=[1, 2, 3])
+        #variations = torch.sum((image[1:] - image[:-1]) ** 2, dim=[1, 2, 3])
+        threshold = torch.quantile(variations.float(), threshold).item()
+
+        keyframes = []
+        for i in range(image.shape[0] - window_size + 1):
+            window = image[i:i + window_size]
+            variation = torch.sum(torch.abs(window[-1] - window[0])).item()
+
+            if variation > threshold:
+                keyframes.append(i + window_size - 1)
+
+        return (image[keyframes], ','.join(map(str, keyframes)),)
+
+class ImageColorMatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "reference": ("IMAGE",),
+                "color_space": (["LAB", "YCbCr", "RGB", "LUV", "YUV", "XYZ"],),
+                "factor": ("FLOAT", { "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.05, }),
+                "device": (["auto", "cpu", "gpu"],),
+                "batch_size": ("INT", { "default": 0, "min": 0, "max": 1024, "step": 1, }),
+            },
+            "optional": {
+                "reference_mask": ("MASK",),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image processing"
+
+    def execute(self, image, reference, color_space, factor, device, batch_size, reference_mask=None):
+        if "gpu" == device:
+            device = comfy.model_management.get_torch_device()
+        elif "auto" == device:
+            device = comfy.model_management.intermediate_device()
+        else:
+            device = 'cpu'
+
+        image = image.permute([0, 3, 1, 2])
+        reference = reference.permute([0, 3, 1, 2]).to(device)
+         
+        # Ensure reference_mask is in the correct format and on the right device
+        if reference_mask is not None:
+            assert reference_mask.ndim == 3, f"Expected reference_mask to have 3 dimensions, but got {reference_mask.ndim}"
+            assert reference_mask.shape[0] == reference.shape[0], f"Frame count mismatch: reference_mask has {reference_mask.shape[0]} frames, but reference has {reference.shape[0]}"
+            
+            # Reshape mask to (batch, 1, height, width)
+            reference_mask = reference_mask.unsqueeze(1).to(device)
+             
+            # Ensure the mask is binary (0 or 1)
+            reference_mask = (reference_mask > 0.5).float()
+             
+            # Ensure spatial dimensions match
+            if reference_mask.shape[2:] != reference.shape[2:]:
+                reference_mask = comfy.utils.common_upscale(
+                    reference_mask,
+                    reference.shape[3], reference.shape[2],
+                    upscale_method='bicubic',
+                    crop='center'
+                )
+
+        if batch_size == 0 or batch_size > image.shape[0]:
+            batch_size = image.shape[0]
+
+        if "LAB" == color_space:
+            reference = kornia.color.rgb_to_lab(reference)
+        elif "YCbCr" == color_space:
+            reference = kornia.color.rgb_to_ycbcr(reference)
+        elif "LUV" == color_space:
+            reference = kornia.color.rgb_to_luv(reference)
+        elif "YUV" == color_space:
+            reference = kornia.color.rgb_to_yuv(reference)
+        elif "XYZ" == color_space:
+            reference = kornia.color.rgb_to_xyz(reference)
+
+        reference_mean, reference_std = self.compute_mean_std(reference, reference_mask)
+
+        image_batch = torch.split(image, batch_size, dim=0)
+        output = []
+
+        for image in image_batch:
+            image = image.to(device)
+
+            if color_space == "LAB":
+                image = kornia.color.rgb_to_lab(image)
+            elif color_space == "YCbCr":
+                image = kornia.color.rgb_to_ycbcr(image)
+            elif color_space == "LUV":
+                image = kornia.color.rgb_to_luv(image)
+            elif color_space == "YUV":
+                image = kornia.color.rgb_to_yuv(image)
+            elif color_space == "XYZ":
+                image = kornia.color.rgb_to_xyz(image)
+
+            image_mean, image_std = self.compute_mean_std(image)
+
+            matched = torch.nan_to_num((image - image_mean) / image_std) * torch.nan_to_num(reference_std) + reference_mean
+            matched = factor * matched + (1 - factor) * image
+
+            if color_space == "LAB":
+                matched = kornia.color.lab_to_rgb(matched)
+            elif color_space == "YCbCr":
+                matched = kornia.color.ycbcr_to_rgb(matched)
+            elif color_space == "LUV":
+                matched = kornia.color.luv_to_rgb(matched)
+            elif color_space == "YUV":
+                matched = kornia.color.yuv_to_rgb(matched)
+            elif color_space == "XYZ":
+                matched = kornia.color.xyz_to_rgb(matched)
+
+            out = matched.permute([0, 2, 3, 1]).clamp(0, 1).to(comfy.model_management.intermediate_device())
+            output.append(out)
+
+        out = None
+        output = torch.cat(output, dim=0)
+        return (output,)
+
+    def compute_mean_std(self, tensor, mask=None):
+        if mask is not None:
+            # Apply mask to the tensor
+            masked_tensor = tensor * mask
+
+            # Calculate the sum of the mask for each channel
+            mask_sum = mask.sum(dim=[2, 3], keepdim=True)
+
+            # Avoid division by zero
+            mask_sum = torch.clamp(mask_sum, min=1e-6)
+
+            # Calculate mean and std only for masked area
+            mean = torch.nan_to_num(masked_tensor.sum(dim=[2, 3], keepdim=True) / mask_sum)
+            std = torch.sqrt(torch.nan_to_num(((masked_tensor - mean) ** 2 * mask).sum(dim=[2, 3], keepdim=True) / mask_sum))
+        else:
+            mean = tensor.mean(dim=[2, 3], keepdim=True)
+            std = tensor.std(dim=[2, 3], keepdim=True)
+        return mean, std
+
+class ImageColorMatchAdobe(ImageColorMatch):
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "reference": ("IMAGE",),
+                "color_space": (["RGB", "LAB"],),
+                "luminance_factor": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.05}),
+                "color_intensity_factor": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.05}),
+                "fade_factor": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.05}),
+                "neutralization_factor": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05}),
+                "device": (["auto", "cpu", "gpu"],),
+            },
+            "optional": {
+                "reference_mask": ("MASK",),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image processing"
+
+    def analyze_color_statistics(self, image, mask=None):
+        # Assuming image is in RGB format
+        l, a, b = kornia.color.rgb_to_lab(image).chunk(3, dim=1)
+
+        if mask is not None:
+            # Ensure mask is binary and has the same spatial dimensions as the image
+            mask = F.interpolate(mask, size=image.shape[2:], mode='nearest')
+            mask = (mask > 0.5).float()
+            
+            # Apply mask to each channel
+            l = l * mask
+            a = a * mask
+            b = b * mask
+            
+            # Compute masked mean and std
+            num_pixels = mask.sum()
+            mean_l = (l * mask).sum() / num_pixels
+            mean_a = (a * mask).sum() / num_pixels
+            mean_b = (b * mask).sum() / num_pixels
+            std_l = torch.sqrt(((l - mean_l)**2 * mask).sum() / num_pixels)
+            var_ab = ((a - mean_a)**2 + (b - mean_b)**2) * mask
+            std_ab = torch.sqrt(var_ab.sum() / num_pixels)
+        else:
+            mean_l = l.mean()
+            std_l = l.std()
+            mean_a = a.mean()
+            mean_b = b.mean()
+            std_ab = torch.sqrt(a.var() + b.var())
+
+        return mean_l, std_l, mean_a, mean_b, std_ab
+
+    def apply_color_transformation(self, image, source_stats, dest_stats, L, C, N):
+        l, a, b = kornia.color.rgb_to_lab(image).chunk(3, dim=1)
+        
+        # Unpack statistics
+        src_mean_l, src_std_l, src_mean_a, src_mean_b, src_std_ab = source_stats
+        dest_mean_l, dest_std_l, dest_mean_a, dest_mean_b, dest_std_ab = dest_stats
+
+        # Adjust luminance
+        l_new = (l - dest_mean_l) * (src_std_l / dest_std_l) * L + src_mean_l
+
+        # Neutralize color cast
+        a = a - N * dest_mean_a
+        b = b - N * dest_mean_b
+
+        # Adjust color intensity
+        a_new = a * (src_std_ab / dest_std_ab) * C
+        b_new = b * (src_std_ab / dest_std_ab) * C
+
+        # Combine channels
+        lab_new = torch.cat([l_new, a_new, b_new], dim=1)
+
+        # Convert back to RGB
+        rgb_new = kornia.color.lab_to_rgb(lab_new)
+
+        return rgb_new
+
+    def execute(self, image, reference, color_space, luminance_factor, color_intensity_factor, fade_factor, neutralization_factor, device, reference_mask=None):
+        if "gpu" == device:
+            device = comfy.model_management.get_torch_device()
+        elif "auto" == device:
+            device = comfy.model_management.intermediate_device()
+        else:
+            device = 'cpu'
+
+        # Ensure image and reference are in the correct shape (B, C, H, W)
+        image = image.permute(0, 3, 1, 2).to(device)
+        reference = reference.permute(0, 3, 1, 2).to(device)
+
+        # Handle reference_mask (if provided)
+        if reference_mask is not None:
+            # Ensure reference_mask is 4D (B, 1, H, W)
+            if reference_mask.ndim == 2:
+                reference_mask = reference_mask.unsqueeze(0).unsqueeze(0)
+            elif reference_mask.ndim == 3:
+                reference_mask = reference_mask.unsqueeze(1)
+            reference_mask = reference_mask.to(device)
+
+         # Analyze color statistics
+        source_stats = self.analyze_color_statistics(reference, reference_mask)
+        dest_stats = self.analyze_color_statistics(image)
+
+        # Apply color transformation
+        transformed = self.apply_color_transformation(
+            image, source_stats, dest_stats, 
+            luminance_factor, color_intensity_factor, neutralization_factor
+        )
+
+        # Apply fade factor
+        result = fade_factor * transformed + (1 - fade_factor) * image
+
+        # Convert back to (B, H, W, C) format and ensure values are in [0, 1] range
+        result = result.permute(0, 2, 3, 1).clamp(0, 1).to(comfy.model_management.intermediate_device())
+
+        return (result,)
+
+
+class ImageHistogramMatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "reference": ("IMAGE",),
+                "method": (["pytorch", "skimage"],),
+                "factor": ("FLOAT", { "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.05, }),
+                "device": (["auto", "cpu", "gpu"],),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image processing"
+
+    def execute(self, image, reference, method, factor, device):
+        if "gpu" == device:
+            device = comfy.model_management.get_torch_device()
+        elif "auto" == device:
+            device = comfy.model_management.intermediate_device()
+        else:
+            device = 'cpu'
+
+        if "pytorch" in method:
+            from .histogram_matching import Histogram_Matching
+
+            image = image.permute([0, 3, 1, 2]).to(device)
+            reference = reference.permute([0, 3, 1, 2]).to(device)[0].unsqueeze(0)
+            image.requires_grad = True
+            reference.requires_grad = True
+
+            out = []
+
+            for i in image:
+                i = i.unsqueeze(0)
+                hm = Histogram_Matching(differentiable=True)
+                out.append(hm(i, reference))
+            out = torch.cat(out, dim=0)
+            out = factor * out + (1 - factor) * image
+            out = out.permute([0, 2, 3, 1]).clamp(0, 1)
+        else:
+            from skimage.exposure import match_histograms
+
+            out = torch.from_numpy(match_histograms(image.cpu().numpy(), reference.cpu().numpy(), channel_axis=3)).to(device)
+            out = factor * out + (1 - factor) * image.to(device)
+
+        return (out.to(comfy.model_management.intermediate_device()),)
+
+"""
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    Utilities
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+"""
+
+class ImageToDevice:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "device": (["auto", "cpu", "gpu"],),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image utils"
+
+    def execute(self, image, device):
+        if "gpu" == device:
+            device = comfy.model_management.get_torch_device()
+        elif "auto" == device:
+            device = comfy.model_management.intermediate_device()
+        else:
+            device = 'cpu'
+
+        image = image.clone().to(device)
+        torch.cuda.empty_cache()
+
+        return (image,)
+
+class GetImageSize:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+            }
+        }
+
+    RETURN_TYPES = ("INT", "INT", "INT",)
+    RETURN_NAMES = ("width", "height", "count")
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image utils"
+
+    def execute(self, image):
+        return (image.shape[2], image.shape[1], image.shape[0])
+
+class ImageRemoveAlpha:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image utils"
+
+    def execute(self, image):
+        if image.shape[3] == 4:
+            image = image[..., :3]
+        return (image,)
+
+class ImagePreviewFromLatent(SaveImage):
+    def __init__(self):
+        self.output_dir = folder_paths.get_temp_directory()
+        self.type = "temp"
+        self.prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5))
+        self.compress_level = 1
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "latent": ("LATENT",),
+                "vae": ("VAE", ),
+                "tile_size": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 64})
+            }, "optional": {
+                "image": (["none"], {"image_upload": False}),
+            }, "hidden": {
+                "prompt": "PROMPT",
+                "extra_pnginfo": "EXTRA_PNGINFO",
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK", "INT", "INT",)
+    RETURN_NAMES = ("IMAGE", "MASK", "width", "height",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image utils"
+
+    def execute(self, latent, vae, tile_size, prompt=None, extra_pnginfo=None, image=None, filename_prefix="ComfyUI"):
+        mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+        ui = None
+
+        if image.startswith("clipspace"):
+            image_path = folder_paths.get_annotated_filepath(image)
+            if not os.path.exists(image_path):
+                raise ValueError(f"Clipspace image does not exist anymore, select 'none' in the image field.")
+
+            img = pillow(Image.open, image_path)
+            img = pillow(ImageOps.exif_transpose, img)
+            if img.mode == "I":
+                img = img.point(lambda i: i * (1 / 255))
+            image = img.convert("RGB")
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            if "A" in img.getbands():
+                mask = np.array(img.getchannel('A')).astype(np.float32) / 255.0
+                mask = 1. - torch.from_numpy(mask)
+            ui = {
+                "filename": os.path.basename(image_path),
+                "subfolder": os.path.dirname(image_path),
+                "type": "temp",
+            }
+        else:
+            if tile_size > 0:
+                tile_size = max(tile_size, 320)
+                image = vae.decode_tiled(latent["samples"], tile_x=tile_size // 8, tile_y=tile_size // 8, )
+            else:
+                image = vae.decode(latent["samples"])
+            ui = self.save_images(image, filename_prefix, prompt, extra_pnginfo)
+
+        out = {**ui, "result": (image, mask, image.shape[2], image.shape[1],)}
+        return out
+
+class NoiseFromImage:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "noise_strenght": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }),
+                "noise_size": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }),
+                "color_noise": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0, "step": 0.01 }),
+                "mask_strength": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01 }),
+                "mask_scale_diff": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01 }),
+                "mask_contrast": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.1 }),
+                "saturation": ("FLOAT", {"default": 2.0, "min": 0.0, "max": 100.0, "step": 0.1 }),
+                "contrast": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.1 }),
+                "blur": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.1 }),
+            },
+            "optional": {
+                "noise_mask": ("IMAGE",),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/image utils"
+
+    def execute(self, image, noise_size, color_noise, mask_strength, mask_scale_diff, mask_contrast, noise_strenght, saturation, contrast, blur, noise_mask=None):
+        torch.manual_seed(0)
+
+        elastic_alpha = max(image.shape[1], image.shape[2])# * noise_size
+        elastic_sigma = elastic_alpha / 400 * noise_size
+
+        blur_size = int(6 * blur+1)
+        if blur_size % 2 == 0:
+            blur_size+= 1
+
+        if noise_mask is None:
+            noise_mask = image
+        
+        # increase contrast of the mask
+        if mask_contrast != 1:
+            noise_mask = T.ColorJitter(contrast=(mask_contrast,mask_contrast))(noise_mask.permute([0, 3, 1, 2])).permute([0, 2, 3, 1])
+
+        # Ensure noise mask is the same size as the image
+        if noise_mask.shape[1:] != image.shape[1:]:
+            noise_mask = F.interpolate(noise_mask.permute([0, 3, 1, 2]), size=(image.shape[1], image.shape[2]), mode='bicubic', align_corners=False)
+            noise_mask = noise_mask.permute([0, 2, 3, 1])
+        # Ensure we have the same number of masks and images
+        if noise_mask.shape[0] > image.shape[0]:
+            noise_mask = noise_mask[:image.shape[0]]
+        else:
+            noise_mask = torch.cat((noise_mask, noise_mask[-1:].repeat((image.shape[0]-noise_mask.shape[0], 1, 1, 1))), dim=0)
+
+        # Convert mask to grayscale mask
+        noise_mask = noise_mask.mean(dim=3).unsqueeze(-1)
+
+        # add color noise
+        imgs = image.clone().permute([0, 3, 1, 2])
+        if color_noise > 0:
+            color_noise = torch.normal(torch.zeros_like(imgs), std=color_noise)
+            color_noise *= (imgs - imgs.min()) / (imgs.max() - imgs.min())
+
+            imgs = imgs + color_noise
+            imgs = imgs.clamp(0, 1)
+
+        # create fine and coarse noise
+        fine_noise = []
+        for n in imgs:
+            avg_color = n.mean(dim=[1,2])
+
+            tmp_noise = T.ElasticTransform(alpha=elastic_alpha, sigma=elastic_sigma, fill=avg_color.tolist())(n)
+            if blur > 0:
+                tmp_noise = T.GaussianBlur(blur_size, blur)(tmp_noise)
+            tmp_noise = T.ColorJitter(contrast=(contrast,contrast), saturation=(saturation,saturation))(tmp_noise)
+            fine_noise.append(tmp_noise)
+
+        imgs = None
+        del imgs
+
+        fine_noise = torch.stack(fine_noise, dim=0)
+        fine_noise = fine_noise.permute([0, 2, 3, 1])
+        #fine_noise = torch.stack(fine_noise, dim=0)
+        #fine_noise = pb(fine_noise)
+        mask_scale_diff = min(mask_scale_diff, 0.99)
+        if mask_scale_diff > 0:
+            coarse_noise = F.interpolate(fine_noise.permute([0, 3, 1, 2]), scale_factor=1-mask_scale_diff, mode='area')
+            coarse_noise = F.interpolate(coarse_noise, size=(fine_noise.shape[1], fine_noise.shape[2]), mode='bilinear', align_corners=False)
+            coarse_noise = coarse_noise.permute([0, 2, 3, 1])
+        else:
+            coarse_noise = fine_noise
+
+        output = (1 - noise_mask) * coarse_noise + noise_mask * fine_noise
+
+        if mask_strength < 1:
+            noise_mask = noise_mask.pow(mask_strength)
+            noise_mask = torch.nan_to_num(noise_mask).clamp(0, 1)
+        output = noise_mask * output + (1 - noise_mask) * image
+
+        # apply noise to image
+        output = output * noise_strenght + image * (1 - noise_strenght)
+        output = output.clamp(0, 1)
+
+        return (output, )
+
+IMAGE_CLASS_MAPPINGS = {
+    # Image analysis
+    "ImageEnhanceDifference+": ImageEnhanceDifference,
+
+    # Image batch
+    "ImageBatchMultiple+": ImageBatchMultiple,
+    "ImageExpandBatch+": ImageExpandBatch,
+    "ImageFromBatch+": ImageFromBatch,
+    "ImageListToBatch+": ImageListToBatch,
+    "ImageBatchToList+": ImageBatchToList,
+
+    # Image manipulation
+    "ImageCompositeFromMaskBatch+": ImageCompositeFromMaskBatch,
+    "ImageComposite+": ImageComposite,
+    "ImageCrop+": ImageCrop,
+    "ImageFlip+": ImageFlip,
+    "ImageRandomTransform+": ImageRandomTransform,
+    "ImageRemoveAlpha+": ImageRemoveAlpha,
+    "ImageRemoveBackground+": ImageRemoveBackground,
+    "ImageResize+": ImageResize,
+    "ImageSeamCarving+": ImageSeamCarving,
+    "ImageTile+": ImageTile,
+    "ImageUntile+": ImageUntile,
+    "RemBGSession+": RemBGSession,
+    "TransparentBGSession+": TransparentBGSession,
+
+    # Image processing
+    "ImageApplyLUT+": ImageApplyLUT,
+    "ImageCASharpening+": ImageCAS,
+    "ImageDesaturate+": ImageDesaturate,
+    "PixelOEPixelize+": PixelOEPixelize,
+    "ImagePosterize+": ImagePosterize,
+    "ImageColorMatch+": ImageColorMatch,
+    "ImageColorMatchAdobe+": ImageColorMatchAdobe,
+    "ImageHistogramMatch+": ImageHistogramMatch,
+    "ImageSmartSharpen+": ImageSmartSharpen,
+
+    # Utilities
+    "GetImageSize+": GetImageSize,
+    "ImageToDevice+": ImageToDevice,
+    "ImagePreviewFromLatent+": ImagePreviewFromLatent,
+    "NoiseFromImage+": NoiseFromImage,
+    #"ExtractKeyframes+": ExtractKeyframes,
+}
+
+IMAGE_NAME_MAPPINGS = {
+    # Image analysis
+    "ImageEnhanceDifference+": "🔧 Image Enhance Difference",
+
+    # Image batch
+    "ImageBatchMultiple+": "🔧 Images Batch Multiple",
+    "ImageExpandBatch+": "🔧 Image Expand Batch",
+    "ImageFromBatch+": "🔧 Image From Batch",
+    "ImageListToBatch+": "🔧 Image List To Batch",
+    "ImageBatchToList+": "🔧 Image Batch To List",
+
+    # Image manipulation
+    "ImageCompositeFromMaskBatch+": "🔧 Image Composite From Mask Batch",
+    "ImageComposite+": "🔧 Image Composite",
+    "ImageCrop+": "🔧 Image Crop",
+    "ImageFlip+": "🔧 Image Flip",
+    "ImageRandomTransform+": "🔧 Image Random Transform",
+    "ImageRemoveAlpha+": "🔧 Image Remove Alpha",
+    "ImageRemoveBackground+": "🔧 Image Remove Background",
+    "ImageResize+": "🔧 Image Resize",
+    "ImageSeamCarving+": "🔧 Image Seam Carving",
+    "ImageTile+": "🔧 Image Tile",
+    "ImageUntile+": "🔧 Image Untile",
+    "RemBGSession+": "🔧 RemBG Session",
+    "TransparentBGSession+": "🔧 InSPyReNet TransparentBG",
+
+    # Image processing
+    "ImageApplyLUT+": "🔧 Image Apply LUT",
+    "ImageCASharpening+": "🔧 Image Contrast Adaptive Sharpening",
+    "ImageDesaturate+": "🔧 Image Desaturate",
+    "PixelOEPixelize+": "🔧 Pixelize",
+    "ImagePosterize+": "🔧 Image Posterize",
+    "ImageColorMatch+": "🔧 Image Color Match",
+    "ImageColorMatchAdobe+": "🔧 Image Color Match Adobe",
+    "ImageHistogramMatch+": "🔧 Image Histogram Match",
+    "ImageSmartSharpen+": "🔧 Image Smart Sharpen",
+
+    # Utilities
+    "GetImageSize+": "🔧 Get Image Size",
+    "ImageToDevice+": "🔧 Image To Device",
+    "ImagePreviewFromLatent+": "🔧 Image Preview From Latent",
+    "NoiseFromImage+": "🔧 Noise From Image",
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/luts/put_luts_files_here.txt b/ComfyUI/custom_nodes/ComfyUI_essentials/luts/put_luts_files_here.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/mask.py b/ComfyUI/custom_nodes/ComfyUI_essentials/mask.py
new file mode 100644
index 0000000000000000000000000000000000000000..5298d0f720da152109aa2398a58d654b349bc874
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/mask.py
@@ -0,0 +1,593 @@
+from nodes import SaveImage
+import torch
+import torchvision.transforms.v2 as T
+import random
+import folder_paths
+import comfy.utils
+from .image import ImageExpandBatch
+import numpy as np
+import scipy
+from PIL import Image
+from nodes import MAX_RESOLUTION
+import math
+
+class MaskBlur:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "amount": ("INT", { "default": 6, "min": 0, "max": 256, "step": 1, }),
+                "device": (["auto", "cpu", "gpu"],),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def execute(self, mask, amount, device):
+        if amount == 0:
+            return (mask,)
+
+        if "gpu" == device:
+            mask = mask.to(comfy.model_management.get_torch_device())
+        elif "cpu" == device:
+            mask = mask.to('cpu')
+
+        if amount % 2 == 0:
+            amount+= 1
+
+        if mask.dim() == 2:
+            mask = mask.unsqueeze(0)
+
+        mask = T.functional.gaussian_blur(mask.unsqueeze(1), amount).squeeze(1)
+
+        if "gpu" == device or "cpu" == device:
+            mask = mask.to(comfy.model_management.intermediate_device())
+
+        return(mask,)
+
+class MaskFlip:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "axis": (["x", "y", "xy"],),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def execute(self, mask, axis):
+        if mask.dim() == 2:
+            mask = mask.unsqueeze(0)
+
+        dim = ()
+        if "y" in axis:
+            dim += (1,)
+        if "x" in axis:
+            dim += (2,)
+        mask = torch.flip(mask, dims=dim)
+
+        return(mask,)
+
+class MaskPreview(SaveImage):
+    def __init__(self):
+        self.output_dir = folder_paths.get_temp_directory()
+        self.type = "temp"
+        self.prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5))
+        self.compress_level = 4
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {"mask": ("MASK",), },
+            "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+        }
+
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def execute(self, mask, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
+        preview = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])).movedim(1, -1).expand(-1, -1, -1, 3)
+        return self.save_images(preview, filename_prefix, prompt, extra_pnginfo)
+
+class MaskBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask1": ("MASK",),
+                "mask2": ("MASK",),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask batch"
+
+    def execute(self, mask1, mask2):
+        if mask1.shape[1:] != mask2.shape[1:]:
+            mask2 = comfy.utils.common_upscale(mask2.unsqueeze(1).expand(-1,3,-1,-1), mask1.shape[2], mask1.shape[1], upscale_method='bicubic', crop='center')[:,0,:,:]
+
+        return (torch.cat((mask1, mask2), dim=0),)
+
+class MaskExpandBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "size": ("INT", { "default": 16, "min": 1, "step": 1, }),
+                "method": (["expand", "repeat all", "repeat first", "repeat last"],)
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask batch"
+
+    def execute(self, mask, size, method):
+        return (ImageExpandBatch().execute(mask.unsqueeze(1).expand(-1,3,-1,-1), size, method)[0][:,0,:,:],)
+
+
+class MaskBoundingBox:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "padding": ("INT", { "default": 0, "min": 0, "max": 4096, "step": 1, }),
+                "blur": ("INT", { "default": 0, "min": 0, "max": 256, "step": 1, }),
+            },
+            "optional": {
+                "image_optional": ("IMAGE",),
+            }
+        }
+
+    RETURN_TYPES = ("MASK", "IMAGE", "INT", "INT", "INT", "INT")
+    RETURN_NAMES = ("MASK", "IMAGE", "x", "y", "width", "height")
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def execute(self, mask, padding, blur, image_optional=None):
+        if mask.dim() == 2:
+            mask = mask.unsqueeze(0)
+
+        if image_optional is None:
+            image_optional = mask.unsqueeze(3).repeat(1, 1, 1, 3)
+
+        # resize the image if it's not the same size as the mask
+        if image_optional.shape[1:] != mask.shape[1:]:
+            image_optional = comfy.utils.common_upscale(image_optional.permute([0,3,1,2]), mask.shape[2], mask.shape[1], upscale_method='bicubic', crop='center').permute([0,2,3,1])
+
+        # match batch size
+        if image_optional.shape[0] < mask.shape[0]:
+            image_optional = torch.cat((image_optional, image_optional[-1].unsqueeze(0).repeat(mask.shape[0]-image_optional.shape[0], 1, 1, 1)), dim=0)
+        elif image_optional.shape[0] > mask.shape[0]:
+            image_optional = image_optional[:mask.shape[0]]
+
+        # blur the mask
+        if blur > 0:
+            if blur % 2 == 0:
+                blur += 1
+            mask = T.functional.gaussian_blur(mask.unsqueeze(1), blur).squeeze(1)
+
+        _, y, x = torch.where(mask)
+        x1 = max(0, x.min().item() - padding)
+        x2 = min(mask.shape[2], x.max().item() + 1 + padding)
+        y1 = max(0, y.min().item() - padding)
+        y2 = min(mask.shape[1], y.max().item() + 1 + padding)
+
+        # crop the mask
+        mask = mask[:, y1:y2, x1:x2]
+        image_optional = image_optional[:, y1:y2, x1:x2, :]
+
+        return (mask, image_optional, x1, y1, x2 - x1, y2 - y1)
+
+
+class MaskFromColor:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE", ),
+                "red": ("INT", { "default": 255, "min": 0, "max": 255, "step": 1, }),
+                "green": ("INT", { "default": 255, "min": 0, "max": 255, "step": 1, }),
+                "blue": ("INT", { "default": 255, "min": 0, "max": 255, "step": 1, }),
+                "threshold": ("INT", { "default": 0, "min": 0, "max": 127, "step": 1, }),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def execute(self, image, red, green, blue, threshold):
+        temp = (torch.clamp(image, 0, 1.0) * 255.0).round().to(torch.int)
+        color = torch.tensor([red, green, blue])
+        lower_bound = (color - threshold).clamp(min=0)
+        upper_bound = (color + threshold).clamp(max=255)
+        lower_bound = lower_bound.view(1, 1, 1, 3)
+        upper_bound = upper_bound.view(1, 1, 1, 3)
+        mask = (temp >= lower_bound) & (temp <= upper_bound)
+        mask = mask.all(dim=-1)
+        mask = mask.float()
+
+        return (mask, )
+
+
+class MaskFromSegmentation:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE", ),
+                "segments": ("INT", { "default": 6, "min": 1, "max": 16, "step": 1, }),
+                "remove_isolated_pixels": ("INT", { "default": 0, "min": 0, "max": 32, "step": 1, }),
+                "remove_small_masks": ("FLOAT", { "default": 0.0, "min": 0., "max": 1., "step": 0.01, }),
+                "fill_holes": ("BOOLEAN", { "default": False }),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def execute(self, image, segments, remove_isolated_pixels, fill_holes, remove_small_masks):
+        im = image[0] # we only work on the first image in the batch
+        im = Image.fromarray((im * 255).to(torch.uint8).cpu().numpy(), mode="RGB")
+        im = im.quantize(palette=im.quantize(colors=segments), dither=Image.Dither.NONE)
+        im = torch.tensor(np.array(im.convert("RGB"))).float() / 255.0
+
+        colors = im.reshape(-1, im.shape[-1])
+        colors = torch.unique(colors, dim=0)
+
+        masks = []
+        for color in colors:
+            mask = (im == color).all(dim=-1).float()
+            # remove isolated pixels
+            if remove_isolated_pixels > 0:
+                mask = torch.from_numpy(scipy.ndimage.binary_opening(mask.cpu().numpy(), structure=np.ones((remove_isolated_pixels, remove_isolated_pixels))))
+
+            # fill holes
+            if fill_holes:
+                mask = torch.from_numpy(scipy.ndimage.binary_fill_holes(mask.cpu().numpy()))
+
+            # if the mask is too small, it's probably noise
+            if mask.sum() / (mask.shape[0]*mask.shape[1]) > remove_small_masks:
+                masks.append(mask)
+
+        if masks == []:
+            masks.append(torch.zeros_like(im)[:,:,0]) # return an empty mask if no masks were found, prevents errors
+
+        mask = torch.stack(masks, dim=0).float()
+
+        return (mask, )
+
+
+class MaskFix:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "erode_dilate": ("INT", { "default": 0, "min": -256, "max": 256, "step": 1, }),
+                "fill_holes": ("INT", { "default": 0, "min": 0, "max": 128, "step": 1, }),
+                "remove_isolated_pixels": ("INT", { "default": 0, "min": 0, "max": 32, "step": 1, }),
+                "smooth": ("INT", { "default": 0, "min": 0, "max": 256, "step": 1, }),
+                "blur": ("INT", { "default": 0, "min": 0, "max": 256, "step": 1, }),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def execute(self, mask, erode_dilate, smooth, remove_isolated_pixels, blur, fill_holes):
+        masks = []
+        for m in mask:
+            # erode and dilate
+            if erode_dilate != 0:
+                if erode_dilate < 0:
+                    m = torch.from_numpy(scipy.ndimage.grey_erosion(m.cpu().numpy(), size=(-erode_dilate, -erode_dilate)))
+                else:
+                    m = torch.from_numpy(scipy.ndimage.grey_dilation(m.cpu().numpy(), size=(erode_dilate, erode_dilate)))
+
+            # fill holes
+            if fill_holes > 0:
+                #m = torch.from_numpy(scipy.ndimage.binary_fill_holes(m.cpu().numpy(), structure=np.ones((fill_holes,fill_holes)))).float()
+                m = torch.from_numpy(scipy.ndimage.grey_closing(m.cpu().numpy(), size=(fill_holes, fill_holes)))
+
+            # remove isolated pixels
+            if remove_isolated_pixels > 0:
+                m = torch.from_numpy(scipy.ndimage.grey_opening(m.cpu().numpy(), size=(remove_isolated_pixels, remove_isolated_pixels)))
+
+            # smooth the mask
+            if smooth > 0:
+                if smooth % 2 == 0:
+                    smooth += 1
+                m = T.functional.gaussian_blur((m > 0.5).unsqueeze(0), smooth).squeeze(0)
+
+            # blur the mask
+            if blur > 0:
+                if blur % 2 == 0:
+                    blur += 1
+                m = T.functional.gaussian_blur(m.float().unsqueeze(0), blur).squeeze(0)
+
+            masks.append(m.float())
+
+        masks = torch.stack(masks, dim=0).float()
+
+        return (masks, )
+
+class MaskSmooth:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK",),
+                "amount": ("INT", { "default": 0, "min": 0, "max": 127, "step": 1, }),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def execute(self, mask, amount):
+        if amount == 0:
+            return (mask,)
+        
+        if amount % 2 == 0:
+            amount += 1
+
+        mask = mask > 0.5
+        mask = T.functional.gaussian_blur(mask.unsqueeze(1), amount).squeeze(1).float()
+
+        return (mask,)
+
+class MaskFromBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "mask": ("MASK", ),
+                "start": ("INT", { "default": 0, "min": 0, "step": 1, }),
+                "length": ("INT", { "default": 1, "min": 1, "step": 1, }),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask batch"
+
+    def execute(self, mask, start, length):
+        if length > mask.shape[0]:
+            length = mask.shape[0]
+
+        start = min(start, mask.shape[0]-1)
+        length = min(mask.shape[0]-start, length)
+        return (mask[start:start + length], )
+
+class MaskFromList:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "width": ("INT", { "default": 32, "min": 0, "max": MAX_RESOLUTION, "step": 8, }),
+                "height": ("INT", { "default": 32, "min": 0, "max": MAX_RESOLUTION, "step": 8, }),
+            }, "optional": {
+                "values": ("INT,FLOAT", { "default": 0.0, "min": 0.0, "max": 1.0, }),
+                "str_values": ("STRING", { "default": "", "multiline": True, "placeholder": "0.0, 0.5, 1.0",}),
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def execute(self, width, height, values=None, str_values=""):
+        out = []
+
+        if values is not None:
+            if not isinstance(values, list):
+                out = [values]
+            else:
+                out.extend(values)
+
+        if str_values != "":
+            str_values = [float(v) for v in str_values.split(",")]
+            out.extend(str_values)
+
+        if out == []:
+            raise ValueError("No values provided")
+        
+        out = torch.tensor(out).float().clamp(0.0, 1.0)
+        out = out.view(-1, 1, 1).expand(-1, height, width)
+        
+        values = None
+        str_values = ""
+
+        return (out, )
+
+class MaskFromRGBCMYBW:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE", ),
+                "threshold_r": ("FLOAT", { "default": 0.15, "min": 0.0, "max": 1, "step": 0.01, }),
+                "threshold_g": ("FLOAT", { "default": 0.15, "min": 0.0, "max": 1, "step": 0.01, }),
+                "threshold_b": ("FLOAT", { "default": 0.15, "min": 0.0, "max": 1, "step": 0.01, }),
+            }
+        }
+
+    RETURN_TYPES = ("MASK","MASK","MASK","MASK","MASK","MASK","MASK","MASK",)
+    RETURN_NAMES = ("red","green","blue","cyan","magenta","yellow","black","white",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def execute(self, image, threshold_r, threshold_g, threshold_b):
+        red = ((image[..., 0] >= 1-threshold_r) & (image[..., 1] < threshold_g) & (image[..., 2] < threshold_b)).float()
+        green = ((image[..., 0] < threshold_r) & (image[..., 1] >= 1-threshold_g) & (image[..., 2] < threshold_b)).float()
+        blue = ((image[..., 0] < threshold_r) & (image[..., 1] < threshold_g) & (image[..., 2] >= 1-threshold_b)).float()
+
+        cyan = ((image[..., 0] < threshold_r) & (image[..., 1] >= 1-threshold_g) & (image[..., 2] >= 1-threshold_b)).float()
+        magenta = ((image[..., 0] >= 1-threshold_r) & (image[..., 1] < threshold_g) & (image[..., 2] > 1-threshold_b)).float()
+        yellow = ((image[..., 0] >= 1-threshold_r) & (image[..., 1] >= 1-threshold_g) & (image[..., 2] < threshold_b)).float()
+
+        black = ((image[..., 0] <= threshold_r) & (image[..., 1] <= threshold_g) & (image[..., 2] <= threshold_b)).float()
+        white = ((image[..., 0] >= 1-threshold_r) & (image[..., 1] >= 1-threshold_g) & (image[..., 2] >= 1-threshold_b)).float()
+        
+        return (red, green, blue, cyan, magenta, yellow, black, white,)
+
+class TransitionMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "width": ("INT", { "default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1, }),
+                "height": ("INT", { "default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1, }),
+                "frames": ("INT", { "default": 16, "min": 1, "max": 9999, "step": 1, }),
+                "start_frame": ("INT", { "default": 0, "min": 0, "step": 1, }),
+                "end_frame": ("INT", { "default": 9999, "min": 0, "step": 1, }),
+                "transition_type": (["horizontal slide", "vertical slide", "horizontal bar", "vertical bar", "center box", "horizontal door", "vertical door", "circle", "fade"],),
+                "timing_function": (["linear", "in", "out", "in-out"],)
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/mask"
+
+    def linear(self, i, t):
+        return i/t
+    def ease_in(self, i, t):
+        return pow(i/t, 2)
+    def ease_out(self, i, t):
+        return 1 - pow(1 - i/t, 2)
+    def ease_in_out(self, i, t):
+        if i < t/2:
+            return pow(i/(t/2), 2) / 2
+        else:
+            return 1 - pow(1 - (i - t/2)/(t/2), 2) / 2
+
+    def execute(self, width, height, frames, start_frame, end_frame, transition_type, timing_function):
+        if timing_function == 'in':
+            timing_function = self.ease_in
+        elif timing_function == 'out':
+            timing_function = self.ease_out
+        elif timing_function == 'in-out':
+            timing_function = self.ease_in_out
+        else:
+            timing_function = self.linear
+
+        out = []
+
+        end_frame = min(frames, end_frame)
+        transition = end_frame - start_frame
+
+        if start_frame > 0:
+            out = out + [torch.full((height, width), 0.0, dtype=torch.float32, device="cpu")] * start_frame
+
+        for i in range(transition):
+            frame = torch.full((height, width), 0.0, dtype=torch.float32, device="cpu")
+            progress = timing_function(i, transition-1)
+
+            if "horizontal slide" in transition_type:
+                pos = round(width*progress)
+                frame[:, :pos] = 1.0
+            elif "vertical slide" in transition_type:
+                pos = round(height*progress)
+                frame[:pos, :] = 1.0
+            elif "box" in transition_type:
+                box_w = round(width*progress)
+                box_h = round(height*progress)
+                x1 = (width - box_w) // 2
+                y1 = (height - box_h) // 2
+                x2 = x1 + box_w
+                y2 = y1 + box_h
+                frame[y1:y2, x1:x2] = 1.0
+            elif "circle" in transition_type:
+                radius = math.ceil(math.sqrt(pow(width,2)+pow(height,2))*progress/2)
+                c_x = width // 2
+                c_y = height // 2
+                # is this real life? Am I hallucinating?
+                x = torch.arange(0, width, dtype=torch.float32, device="cpu")
+                y = torch.arange(0, height, dtype=torch.float32, device="cpu")
+                y, x = torch.meshgrid((y, x), indexing="ij")
+                circle = ((x - c_x) ** 2 + (y - c_y) ** 2) <= (radius ** 2)
+                frame[circle] = 1.0
+            elif "horizontal bar" in transition_type:
+                bar = round(height*progress)
+                y1 = (height - bar) // 2
+                y2 = y1 + bar
+                frame[y1:y2, :] = 1.0
+            elif "vertical bar" in transition_type:
+                bar = round(width*progress)
+                x1 = (width - bar) // 2
+                x2 = x1 + bar
+                frame[:, x1:x2] = 1.0
+            elif "horizontal door" in transition_type:
+                bar = math.ceil(height*progress/2)
+                if bar > 0:
+                    frame[:bar, :] = 1.0
+                    frame[-bar:, :] = 1.0
+            elif "vertical door" in transition_type:
+                bar = math.ceil(width*progress/2)
+                if bar > 0:
+                    frame[:, :bar] = 1.0
+                    frame[:, -bar:] = 1.0
+            elif "fade" in transition_type:
+                frame[:,:] = progress
+
+            out.append(frame)
+
+        if end_frame < frames:
+            out = out + [torch.full((height, width), 1.0, dtype=torch.float32, device="cpu")] * (frames - end_frame)
+
+        out = torch.stack(out, dim=0)
+
+        return (out, )
+
+MASK_CLASS_MAPPINGS = {
+    "MaskBlur+": MaskBlur,
+    "MaskBoundingBox+": MaskBoundingBox,
+    "MaskFix+": MaskFix,
+    "MaskFlip+": MaskFlip,
+    "MaskFromColor+": MaskFromColor,
+    "MaskFromList+": MaskFromList,
+    "MaskFromRGBCMYBW+": MaskFromRGBCMYBW,
+    "MaskFromSegmentation+": MaskFromSegmentation,
+    "MaskPreview+": MaskPreview,
+    "MaskSmooth+": MaskSmooth,
+    "TransitionMask+": TransitionMask,
+
+    # Batch
+    "MaskBatch+": MaskBatch,
+    "MaskExpandBatch+": MaskExpandBatch,
+    "MaskFromBatch+": MaskFromBatch,
+}
+
+MASK_NAME_MAPPINGS = {
+    "MaskBlur+": "🔧 Mask Blur",
+    "MaskFix+": "🔧 Mask Fix",
+    "MaskFlip+": "🔧 Mask Flip",
+    "MaskFromColor+": "🔧 Mask From Color",
+    "MaskFromList+": "🔧 Mask From List",
+    "MaskFromRGBCMYBW+": "🔧 Mask From RGB/CMY/BW",
+    "MaskFromSegmentation+": "🔧 Mask From Segmentation",
+    "MaskPreview+": "🔧 Mask Preview",
+    "MaskBoundingBox+": "🔧 Mask Bounding Box",
+    "MaskSmooth+": "🔧 Mask Smooth",
+    "TransitionMask+": "🔧 Transition Mask",
+
+    "MaskBatch+": "🔧 Mask Batch",
+    "MaskExpandBatch+": "🔧 Mask Expand Batch",
+    "MaskFromBatch+": "🔧 Mask From Batch",
+}
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/misc.py b/ComfyUI/custom_nodes/ComfyUI_essentials/misc.py
new file mode 100644
index 0000000000000000000000000000000000000000..987c606ceb40b05e763c63fc1cd695639a55f9e5
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/misc.py
@@ -0,0 +1,528 @@
+import math
+import torch
+from .utils import AnyType
+import comfy.model_management
+from nodes import MAX_RESOLUTION
+
+any = AnyType("*")
+
+class SimpleMathFloat:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "value": ("FLOAT", { "default": 0.0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 0.05 }),
+            },
+        }
+
+    RETURN_TYPES = ("FLOAT", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, value):
+        return (float(value), )
+
+class SimpleMathPercent:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "value": ("FLOAT", { "default": 0.0, "min": 0, "max": 1, "step": 0.05 }),
+            },
+        }
+
+    RETURN_TYPES = ("FLOAT", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, value):
+        return (float(value), )
+
+class SimpleMathInt:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "value": ("INT", { "default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1 }),
+            },
+        }
+
+    RETURN_TYPES = ("INT",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, value):
+        return (int(value), )
+
+class SimpleMathSlider:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "value": ("FLOAT", { "display": "slider", "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.001 }),
+                "min": ("FLOAT", { "default": 0.0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 0.001 }),
+                "max": ("FLOAT", { "default": 1.0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 0.001 }),
+                "rounding": ("INT", { "default": 0, "min": 0, "max": 10, "step": 1 }),
+            },
+        }
+
+    RETURN_TYPES = ("FLOAT", "INT",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, value, min, max, rounding):
+        value = min + value * (max - min)
+        
+        if rounding > 0:
+            value = round(value, rounding)
+
+        return (value, int(value), )
+
+class SimpleMathSliderLowRes:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "value": ("INT", { "display": "slider", "default": 5, "min": 0, "max": 10, "step": 1 }),
+                "min": ("FLOAT", { "default": 0.0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 0.001 }),
+                "max": ("FLOAT", { "default": 1.0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 0.001 }),
+                "rounding": ("INT", { "default": 0, "min": 0, "max": 10, "step": 1 }),
+            },
+        }
+
+    RETURN_TYPES = ("FLOAT", "INT",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, value, min, max, rounding):
+        value = 0.1 * value
+        value = min + value * (max - min)
+        if rounding > 0:
+            value = round(value, rounding)
+
+        return (value, )
+
+class SimpleMathBoolean:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "value": ("BOOLEAN", { "default": False }),
+            },
+        }
+
+    RETURN_TYPES = ("BOOLEAN",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, value):
+        return (value, int(value), )
+
+class SimpleMath:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "optional": {
+                "a": (any, { "default": 0.0 }),
+                "b": (any, { "default": 0.0 }),
+                "c": (any, { "default": 0.0 }),
+            },
+            "required": {
+                "value": ("STRING", { "multiline": False, "default": "" }),
+            },
+        }
+
+    RETURN_TYPES = ("INT", "FLOAT", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, value, a = 0.0, b = 0.0, c = 0.0, d = 0.0):
+        import ast
+        import operator as op
+
+        h, w = 0.0, 0.0
+        if hasattr(a, 'shape'):
+            a = list(a.shape)
+        if hasattr(b, 'shape'):
+            b = list(b.shape)
+        if hasattr(c, 'shape'):
+            c = list(c.shape)
+        if hasattr(d, 'shape'):
+            d = list(d.shape)
+
+        if isinstance(a, str):
+            a = float(a)
+        if isinstance(b, str):
+            b = float(b)
+        if isinstance(c, str):
+            c = float(c)
+        if isinstance(d, str):
+            d = float(d)
+        
+        operators = {
+            ast.Add: op.add,
+            ast.Sub: op.sub,
+            ast.Mult: op.mul,
+            ast.Div: op.truediv,
+            ast.FloorDiv: op.floordiv,
+            ast.Pow: op.pow,
+            #ast.BitXor: op.xor,
+            #ast.BitOr: op.or_,
+            #ast.BitAnd: op.and_,
+            ast.USub: op.neg,
+            ast.Mod: op.mod,
+            ast.Eq: op.eq,
+            ast.NotEq: op.ne,
+            ast.Lt: op.lt,
+            ast.LtE: op.le,
+            ast.Gt: op.gt,
+            ast.GtE: op.ge,
+            ast.And: lambda x, y: x and y,
+            ast.Or: lambda x, y: x or y,
+            ast.Not: op.not_
+        }
+
+        op_functions = {
+            'min': min,
+            'max': max,
+            'round': round,
+            'sum': sum,
+            'len': len,
+        }
+
+        def eval_(node):
+            if isinstance(node, ast.Num): # number
+                return node.n
+            elif isinstance(node, ast.Name): # variable
+                if node.id == "a":
+                    return a
+                if node.id == "b":
+                    return b
+                if node.id == "c":
+                    return c
+                if node.id == "d":
+                    return d
+            elif isinstance(node, ast.BinOp): # <left> <operator> <right>
+                return operators[type(node.op)](eval_(node.left), eval_(node.right))
+            elif isinstance(node, ast.UnaryOp): # <operator> <operand> e.g., -1
+                return operators[type(node.op)](eval_(node.operand))
+            elif isinstance(node, ast.Compare):  # comparison operators
+                left = eval_(node.left)
+                for op, comparator in zip(node.ops, node.comparators):
+                    if not operators[type(op)](left, eval_(comparator)):
+                        return 0
+                return 1
+            elif isinstance(node, ast.BoolOp):  # boolean operators (And, Or)
+                values = [eval_(value) for value in node.values]
+                return operators[type(node.op)](*values)
+            elif isinstance(node, ast.Call): # custom function
+                if node.func.id in op_functions:
+                    args =[eval_(arg) for arg in node.args]
+                    return op_functions[node.func.id](*args)
+            elif isinstance(node, ast.Subscript): # indexing or slicing
+                value = eval_(node.value)
+                if isinstance(node.slice, ast.Constant):
+                    return value[node.slice.value]
+                else:
+                    return 0
+            else:
+                return 0
+
+        result = eval_(ast.parse(value, mode='eval').body)
+
+        if math.isnan(result):
+            result = 0.0
+        
+        return (round(result), result, )
+
+class SimpleMathDual:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "optional": {
+                "a": (any, { "default": 0.0 }),
+                "b": (any, { "default": 0.0 }),
+                "c": (any, { "default": 0.0 }),
+                "d": (any, { "default": 0.0 }),
+            },
+            "required": {
+                "value_1": ("STRING", { "multiline": False, "default": "" }),
+                "value_2": ("STRING", { "multiline": False, "default": "" }),
+            },
+        }
+    
+    RETURN_TYPES = ("INT", "FLOAT", "INT", "FLOAT", )
+    RETURN_NAMES = ("int_1", "float_1", "int_2", "float_2" )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, value_1, value_2, a = 0.0, b = 0.0, c = 0.0, d = 0.0):
+        return SimpleMath().execute(value_1, a, b, c, d) + SimpleMath().execute(value_2, a, b, c, d)
+
+class SimpleMathCondition:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "optional": {
+                "a": (any, { "default": 0.0 }),
+                "b": (any, { "default": 0.0 }),
+                "c": (any, { "default": 0.0 }),
+            },
+            "required": {
+                "evaluate": (any, {"default": 0}),
+                "on_true": ("STRING", { "multiline": False, "default": "" }),
+                "on_false": ("STRING", { "multiline": False, "default": "" }),
+            },
+        }
+    
+    RETURN_TYPES = ("INT", "FLOAT", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, evaluate, on_true, on_false, a = 0.0, b = 0.0, c = 0.0):
+        return SimpleMath().execute(on_true if evaluate else on_false, a, b, c)
+
+class SimpleCondition:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "evaluate": (any, {"default": 0}),
+                "on_true": (any, {"default": 0}),
+            },
+            "optional": {
+                "on_false": (any, {"default": None}),
+            },
+        }
+
+    RETURN_TYPES = (any,)
+    RETURN_NAMES = ("result",)
+    FUNCTION = "execute"
+
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, evaluate, on_true, on_false=None):
+        from comfy_execution.graph import ExecutionBlocker
+        if not evaluate:
+            return (on_false if on_false is not None else ExecutionBlocker(None),)
+
+        return (on_true,)
+
+class SimpleComparison:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "a": (any, {"default": 0}),
+                "b": (any, {"default": 0}),
+                "comparison": (["==", "!=", "<", "<=", ">", ">="],),
+            },
+        }
+
+    RETURN_TYPES = ("BOOLEAN",)
+    FUNCTION = "execute"
+
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, a, b, comparison):
+        if comparison == "==":
+            return (a == b,)
+        elif comparison == "!=":
+            return (a != b,)
+        elif comparison == "<":
+            return (a < b,)
+        elif comparison == "<=":
+            return (a <= b,)
+        elif comparison == ">":
+            return (a > b,)
+        elif comparison == ">=":
+            return (a >= b,)
+
+class ConsoleDebug:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "value": (any, {}),
+            },
+            "optional": {
+                "prefix": ("STRING", { "multiline": False, "default": "Value:" })
+            }
+        }
+
+    RETURN_TYPES = ()
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+    OUTPUT_NODE = True
+
+    def execute(self, value, prefix):
+        print(f"\033[96m{prefix} {value}\033[0m")
+
+        return (None,)
+
+class DebugTensorShape:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "tensor": (any, {}),
+            },
+        }
+
+    RETURN_TYPES = ()
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+    OUTPUT_NODE = True
+
+    def execute(self, tensor):
+        shapes = []
+        def tensorShape(tensor):
+            if isinstance(tensor, dict):
+                for k in tensor:
+                    tensorShape(tensor[k])
+            elif isinstance(tensor, list):
+                for i in range(len(tensor)):
+                    tensorShape(tensor[i])
+            elif hasattr(tensor, 'shape'):
+                shapes.append(list(tensor.shape))
+
+        tensorShape(tensor)
+
+        print(f"\033[96mShapes found: {shapes}\033[0m")
+
+        return (None,)
+
+class BatchCount:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "batch": (any, {}),
+            },
+        }
+
+    RETURN_TYPES = ("INT",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, batch):
+        count = 0
+        if hasattr(batch, 'shape'):
+            count = batch.shape[0]
+        elif isinstance(batch, dict) and 'samples' in batch:
+            count = batch['samples'].shape[0]
+        elif isinstance(batch, list) or isinstance(batch, dict):
+            count = len(batch)
+
+        return (count, )
+
+class ModelCompile():
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "model": ("MODEL",),
+                "fullgraph": ("BOOLEAN", { "default": False }),
+                "dynamic": ("BOOLEAN", { "default": False }),
+                "mode": (["default", "reduce-overhead", "max-autotune", "max-autotune-no-cudagraphs"],),
+            },
+        }
+
+    RETURN_TYPES = ("MODEL", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, model, fullgraph, dynamic, mode):
+        work_model = model.clone()
+        torch._dynamo.config.suppress_errors = True
+        work_model.model.diffusion_model = torch.compile(work_model.model.diffusion_model, dynamic=dynamic, fullgraph=fullgraph, mode=mode)
+        return (work_model, )
+
+class RemoveLatentMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",),}}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "execute"
+
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, samples):
+        s = samples.copy()
+        if "noise_mask" in s:
+            del s["noise_mask"]
+
+        return (s,)
+
+class SDXLEmptyLatentSizePicker:
+    def __init__(self):
+        self.device = comfy.model_management.intermediate_device()
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "resolution": (["704x1408 (0.5)","704x1344 (0.52)","768x1344 (0.57)","768x1280 (0.6)","832x1216 (0.68)","832x1152 (0.72)","896x1152 (0.78)","896x1088 (0.82)","960x1088 (0.88)","960x1024 (0.94)","1024x1024 (1.0)","1024x960 (1.07)","1088x960 (1.13)","1088x896 (1.21)","1152x896 (1.29)","1152x832 (1.38)","1216x832 (1.46)","1280x768 (1.67)","1344x768 (1.75)","1344x704 (1.91)","1408x704 (2.0)","1472x704 (2.09)","1536x640 (2.4)","1600x640 (2.5)","1664x576 (2.89)","1728x576 (3.0)",], {"default": "1024x1024 (1.0)"}),
+            "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+            "width_override": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+            "height_override": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+            }}
+
+    RETURN_TYPES = ("LATENT","INT","INT",)
+    RETURN_NAMES = ("LATENT","width","height",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/utilities"
+
+    def execute(self, resolution, batch_size, width_override=0, height_override=0):
+        width, height = resolution.split(" ")[0].split("x")
+        width = width_override if width_override > 0 else int(width)
+        height = height_override if height_override > 0 else int(height)
+
+        latent = torch.zeros([batch_size, 4, height // 8, width // 8], device=self.device)
+
+        return ({"samples":latent}, width, height,)
+
+MISC_CLASS_MAPPINGS = {
+    "BatchCount+": BatchCount,
+    "ConsoleDebug+": ConsoleDebug,
+    "DebugTensorShape+": DebugTensorShape,
+    "ModelCompile+": ModelCompile,
+    "RemoveLatentMask+": RemoveLatentMask,
+    "SDXLEmptyLatentSizePicker+": SDXLEmptyLatentSizePicker,
+    "SimpleComparison+": SimpleComparison,
+    "SimpleCondition+": SimpleCondition,
+    "SimpleMath+": SimpleMath,
+    "SimpleMathDual+": SimpleMathDual,
+    "SimpleMathCondition+": SimpleMathCondition,
+    "SimpleMathBoolean+": SimpleMathBoolean,
+    "SimpleMathFloat+": SimpleMathFloat,
+    "SimpleMathInt+": SimpleMathInt,
+    "SimpleMathPercent+": SimpleMathPercent,
+    "SimpleMathSlider+": SimpleMathSlider,
+    "SimpleMathSliderLowRes+": SimpleMathSliderLowRes,
+}
+
+MISC_NAME_MAPPINGS = {
+    "BatchCount+": "🔧 Batch Count",
+    "ConsoleDebug+": "🔧 Console Debug",
+    "DebugTensorShape+": "🔧 Debug Tensor Shape",
+    "ModelCompile+": "🔧 Model Compile",
+    "RemoveLatentMask+": "🔧 Remove Latent Mask",
+    "SDXLEmptyLatentSizePicker+": "🔧 Empty Latent Size Picker",
+    "SimpleComparison+": "🔧 Simple Comparison",
+    "SimpleCondition+": "🔧 Simple Condition",
+    "SimpleMath+": "🔧 Simple Math",
+    "SimpleMathDual+": "🔧 Simple Math Dual",
+    "SimpleMathCondition+": "🔧 Simple Math Condition",
+    "SimpleMathBoolean+": "🔧 Simple Math Boolean",
+    "SimpleMathFloat+": "🔧 Simple Math Float",
+    "SimpleMathInt+": "🔧 Simple Math Int",
+    "SimpleMathPercent+": "🔧 Simple Math Percent",
+    "SimpleMathSlider+": "🔧 Simple Math Slider",
+    "SimpleMathSliderLowRes+": "🔧 Simple Math Slider low-res",
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/pyproject.toml b/ComfyUI/custom_nodes/ComfyUI_essentials/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..affa1310b05b6f70f302a84771918984499defae
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/pyproject.toml
@@ -0,0 +1,15 @@
+[project]
+name = "comfyui_essentials"
+description = "Essential nodes that are weirdly missing from ComfyUI core. With few exceptions they are new features and not commodities."
+version = "1.1.0"
+license = { file = "LICENSE" }
+dependencies = ["numba", "colour-science", "rembg", "pixeloe"]
+
+[project.urls]
+Repository = "https://github.com/cubiq/ComfyUI_essentials"
+#  Used by Comfy Registry https://comfyregistry.org
+
+[tool.comfy]
+PublisherId = "matteo"
+DisplayName = "ComfyUI_essentials"
+Icon = ""
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/requirements.txt b/ComfyUI/custom_nodes/ComfyUI_essentials/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ca6bb9baa5e2f119c4c286cbb193cf7c4b72ceb2
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/requirements.txt
@@ -0,0 +1,5 @@
+numba
+colour-science
+rembg
+pixeloe
+transparent-background
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/sampling.py b/ComfyUI/custom_nodes/ComfyUI_essentials/sampling.py
new file mode 100644
index 0000000000000000000000000000000000000000..ed1e4fb1dbf8939ebf813260c4d6f8c81c30c975
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/sampling.py
@@ -0,0 +1,695 @@
+import os
+import comfy.samplers
+import comfy.sample
+import torch
+from nodes import common_ksampler, CLIPTextEncode
+from comfy.utils import ProgressBar
+from .utils import expand_mask, FONTS_DIR, parse_string_to_list
+import torchvision.transforms.v2 as T
+import torch.nn.functional as F
+import logging
+import folder_paths
+
+# From https://github.com/BlenderNeko/ComfyUI_Noise/
+def slerp(val, low, high):
+    dims = low.shape
+
+    low = low.reshape(dims[0], -1)
+    high = high.reshape(dims[0], -1)
+
+    low_norm = low/torch.norm(low, dim=1, keepdim=True)
+    high_norm = high/torch.norm(high, dim=1, keepdim=True)
+
+    low_norm[low_norm != low_norm] = 0.0
+    high_norm[high_norm != high_norm] = 0.0
+
+    omega = torch.acos((low_norm*high_norm).sum(1))
+    so = torch.sin(omega)
+    res = (torch.sin((1.0-val)*omega)/so).unsqueeze(1)*low + (torch.sin(val*omega)/so).unsqueeze(1) * high
+
+    return res.reshape(dims)
+
+class KSamplerVariationsWithNoise:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                    "model": ("MODEL", ),
+                    "latent_image": ("LATENT", ),
+                    "main_seed": ("INT:seed", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+                    "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
+                    "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}),
+                    "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
+                    "scheduler": (comfy.samplers.KSampler.SCHEDULERS, ),
+                    "positive": ("CONDITIONING", ),
+                    "negative": ("CONDITIONING", ),
+                    "variation_strength": ("FLOAT", {"default": 0.17, "min": 0.0, "max": 1.0, "step":0.01, "round": 0.01}),
+                    #"start_at_step": ("INT", {"default": 0, "min": 0, "max": 10000}),
+                    #"end_at_step": ("INT", {"default": 10000, "min": 0, "max": 10000}),
+                    #"return_with_leftover_noise": (["disable", "enable"], ),
+                    "variation_seed": ("INT:seed", {"default": 12345, "min": 0, "max": 0xffffffffffffffff}),
+                    "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step":0.01, "round": 0.01}),
+                }}
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/sampling"
+
+    def prepare_mask(self, mask, shape):
+        mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(shape[2], shape[3]), mode="bilinear")
+        mask = mask.expand((-1,shape[1],-1,-1))
+        if mask.shape[0] < shape[0]:
+            mask = mask.repeat((shape[0] -1) // mask.shape[0] + 1, 1, 1, 1)[:shape[0]]
+        return mask
+
+    def execute(self, model, latent_image, main_seed, steps, cfg, sampler_name, scheduler, positive, negative, variation_strength, variation_seed, denoise):
+        if main_seed == variation_seed:
+            variation_seed += 1
+
+        end_at_step = steps #min(steps, end_at_step)
+        start_at_step = round(end_at_step - end_at_step * denoise)
+
+        force_full_denoise = True
+        disable_noise = True
+
+        device = comfy.model_management.get_torch_device()
+
+        # Generate base noise
+        batch_size, _, height, width = latent_image["samples"].shape
+        generator = torch.manual_seed(main_seed)
+        base_noise = torch.randn((1, 4, height, width), dtype=torch.float32, device="cpu", generator=generator).repeat(batch_size, 1, 1, 1).cpu()
+
+        # Generate variation noise
+        generator = torch.manual_seed(variation_seed)
+        variation_noise = torch.randn((batch_size, 4, height, width), dtype=torch.float32, device="cpu", generator=generator).cpu()
+
+        slerp_noise = slerp(variation_strength, base_noise, variation_noise)
+
+        # Calculate sigma
+        comfy.model_management.load_model_gpu(model)
+        sampler = comfy.samplers.KSampler(model, steps=steps, device=device, sampler=sampler_name, scheduler=scheduler, denoise=1.0, model_options=model.model_options)
+        sigmas = sampler.sigmas
+        sigma = sigmas[start_at_step] - sigmas[end_at_step]
+        sigma /= model.model.latent_format.scale_factor
+        sigma = sigma.detach().cpu().item()
+
+        work_latent = latent_image.copy()
+        work_latent["samples"] = latent_image["samples"].clone() + slerp_noise * sigma
+
+        # if there's a mask we need to expand it to avoid artifacts, 5 pixels should be enough
+        if "noise_mask" in latent_image:
+            noise_mask = self.prepare_mask(latent_image["noise_mask"], latent_image['samples'].shape)
+            work_latent["samples"] = noise_mask * work_latent["samples"] + (1-noise_mask) * latent_image["samples"]
+            work_latent['noise_mask'] = expand_mask(latent_image["noise_mask"].clone(), 5, True)
+
+        return common_ksampler(model, main_seed, steps, cfg, sampler_name, scheduler, positive, negative, work_latent, denoise=1.0, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise)
+
+
+class KSamplerVariationsStochastic:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":{
+                    "model": ("MODEL",),
+                    "latent_image": ("LATENT", ),
+                    "noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+                    "steps": ("INT", {"default": 25, "min": 1, "max": 10000}),
+                    "cfg": ("FLOAT", {"default": 7.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}),
+                    "sampler": (comfy.samplers.KSampler.SAMPLERS, ),
+                    "scheduler": (comfy.samplers.KSampler.SCHEDULERS, ),
+                    "positive": ("CONDITIONING", ),
+                    "negative": ("CONDITIONING", ),
+                    "variation_seed": ("INT:seed", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+                    "variation_strength": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0, "step":0.05, "round": 0.01}),
+                    #"variation_sampler": (comfy.samplers.KSampler.SAMPLERS, ),
+                    "cfg_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step":0.05, "round": 0.01}),
+                }}
+
+    RETURN_TYPES = ("LATENT", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/sampling"
+
+    def execute(self, model, latent_image, noise_seed, steps, cfg, sampler, scheduler, positive, negative, variation_seed, variation_strength, cfg_scale, variation_sampler="dpmpp_2m_sde"):
+        # Stage 1: composition sampler
+        force_full_denoise = False # return with leftover noise = "enable"
+        disable_noise = False # add noise = "enable"
+
+        end_at_step = max(int(steps * (1-variation_strength)), 1)
+        start_at_step = 0
+
+        work_latent = latent_image.copy()
+        batch_size = work_latent["samples"].shape[0]
+        work_latent["samples"] = work_latent["samples"][0].unsqueeze(0)
+
+        stage1 = common_ksampler(model, noise_seed, steps, cfg, sampler, scheduler, positive, negative, work_latent, denoise=1.0, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise)[0]
+
+        if batch_size > 1:
+            stage1["samples"] = stage1["samples"].clone().repeat(batch_size, 1, 1, 1)
+
+        # Stage 2: variation sampler
+        force_full_denoise = True
+        disable_noise = True
+        cfg = max(cfg * cfg_scale, 1.0)
+        start_at_step = end_at_step
+        end_at_step = steps
+
+        return common_ksampler(model, variation_seed, steps, cfg, variation_sampler, scheduler, positive, negative, stage1, denoise=1.0, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise)
+
+class InjectLatentNoise:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                    "latent": ("LATENT", ),
+                    "noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+                    "noise_strength": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step":0.01, "round": 0.01}),
+                    "normalize": (["false", "true"], {"default": "false"}),
+                },
+                "optional": {
+                    "mask": ("MASK", ),
+                }}
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/sampling"
+
+    def execute(self, latent, noise_seed, noise_strength, normalize="false", mask=None):
+        torch.manual_seed(noise_seed)
+        noise_latent = latent.copy()
+        original_samples = noise_latent["samples"].clone()
+        random_noise = torch.randn_like(original_samples)
+
+        if normalize == "true":
+            mean = original_samples.mean()
+            std = original_samples.std()
+            random_noise = random_noise * std + mean
+
+        random_noise = original_samples + random_noise * noise_strength
+
+        if mask is not None:
+            mask = F.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(random_noise.shape[2], random_noise.shape[3]), mode="bilinear")
+            mask = mask.expand((-1,random_noise.shape[1],-1,-1)).clamp(0.0, 1.0)
+            if mask.shape[0] < random_noise.shape[0]:
+                mask = mask.repeat((random_noise.shape[0] -1) // mask.shape[0] + 1, 1, 1, 1)[:random_noise.shape[0]]
+            elif mask.shape[0] > random_noise.shape[0]:
+                mask = mask[:random_noise.shape[0]]
+            random_noise = mask * random_noise + (1-mask) * original_samples
+
+        noise_latent["samples"] = random_noise
+
+        return (noise_latent, )
+
+class TextEncodeForSamplerParams:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "text": ("STRING", {"multiline": True, "dynamicPrompts": True, "default": "Separate prompts with at least three dashes\n---\nLike so"}),
+                "clip": ("CLIP", )
+            }}
+
+    RETURN_TYPES = ("CONDITIONING", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/sampling"
+
+    def execute(self, text, clip):
+        import re
+        output_text = []
+        output_encoded = []
+        text = re.sub(r'[-*=~]{4,}\n', '---\n', text)
+        text = text.split("---\n")
+
+        for t in text:
+            t = t.strip()
+            if t:
+                output_text.append(t)
+                output_encoded.append(CLIPTextEncode().encode(clip, t)[0])
+
+        #if len(output_encoded) == 1:
+        #    output = output_encoded[0]
+        #else:
+        output = {"text": output_text, "encoded": output_encoded}
+
+        return (output, )
+
+class SamplerSelectHelper:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            **{s: ("BOOLEAN", { "default": False }) for s in comfy.samplers.KSampler.SAMPLERS},
+        }}
+
+    RETURN_TYPES = ("STRING", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/sampling"
+
+    def execute(self, **values):
+        values = [v for v in values if values[v]]
+        values = ", ".join(values)
+
+        return (values, )
+
+class SchedulerSelectHelper:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            **{s: ("BOOLEAN", { "default": False }) for s in comfy.samplers.KSampler.SCHEDULERS},
+        }}
+
+    RETURN_TYPES = ("STRING", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/sampling"
+
+    def execute(self, **values):
+        values = [v for v in values if values[v]]
+        values = ", ".join(values)
+
+        return (values, )
+
+class LorasForFluxParams:
+    @classmethod
+    def INPUT_TYPES(s):
+        optional_loras = ['none'] + folder_paths.get_filename_list("loras")
+        return {
+            "required": {
+                "lora_1": (folder_paths.get_filename_list("loras"), {"tooltip": "The name of the LoRA."}),
+                "strength_model_1": ("STRING", { "multiline": False, "dynamicPrompts": False, "default": "1.0" }),
+            },
+            #"optional": {
+            #    "lora_2": (optional_loras, ),
+            #    "strength_lora_2": ("STRING", { "multiline": False, "dynamicPrompts": False }),
+            #    "lora_3": (optional_loras, ),
+            #    "strength_lora_3": ("STRING", { "multiline": False, "dynamicPrompts": False }),
+            #    "lora_4": (optional_loras, ),
+            #    "strength_lora_4": ("STRING", { "multiline": False, "dynamicPrompts": False }),
+            #}
+        }
+
+    RETURN_TYPES = ("LORA_PARAMS", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/sampling"
+
+    def execute(self, lora_1, strength_model_1, lora_2="none", strength_lora_2="", lora_3="none", strength_lora_3="", lora_4="none", strength_lora_4=""):
+        output = { "loras": [], "strengths": [] }
+        output["loras"].append(lora_1)
+        output["strengths"].append(parse_string_to_list(strength_model_1))
+
+        if lora_2 != "none":
+            output["loras"].append(lora_2)
+            if strength_lora_2 == "":
+                strength_lora_2 = "1.0"
+            output["strengths"].append(parse_string_to_list(strength_lora_2))
+        if lora_3 != "none":
+            output["loras"].append(lora_3)
+            if strength_lora_3 == "":
+                strength_lora_3 = "1.0"
+            output["strengths"].append(parse_string_to_list(strength_lora_3))
+        if lora_4 != "none":
+            output["loras"].append(lora_4)
+            if strength_lora_4 == "":
+                strength_lora_4 = "1.0"
+            output["strengths"].append(parse_string_to_list(strength_lora_4))
+
+        return (output,)
+
+
+class FluxSamplerParams:
+    def __init__(self):
+        self.loraloader = None
+        self.lora = (None, None)
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                    "model": ("MODEL", ),
+                    "conditioning": ("CONDITIONING", ),
+                    "latent_image": ("LATENT", ),
+
+                    "seed": ("STRING", { "multiline": False, "dynamicPrompts": False, "default": "?" }),
+                    "sampler": ("STRING", { "multiline": False, "dynamicPrompts": False, "default": "euler" }),
+                    "scheduler": ("STRING", { "multiline": False, "dynamicPrompts": False, "default": "simple" }),
+                    "steps": ("STRING", { "multiline": False, "dynamicPrompts": False, "default": "20" }),
+                    "guidance": ("STRING", { "multiline": False, "dynamicPrompts": False, "default": "3.5" }),
+                    "max_shift": ("STRING", { "multiline": False, "dynamicPrompts": False, "default": "" }),
+                    "base_shift": ("STRING", { "multiline": False, "dynamicPrompts": False, "default": "" }),
+                    "denoise": ("STRING", { "multiline": False, "dynamicPrompts": False, "default": "1.0" }),
+                },
+                "optional": {
+                    "loras": ("LORA_PARAMS",),
+                }}
+
+    RETURN_TYPES = ("LATENT","SAMPLER_PARAMS")
+    RETURN_NAMES = ("latent", "params")
+    FUNCTION = "execute"
+    CATEGORY = "essentials/sampling"
+
+    def execute(self, model, conditioning, latent_image, seed, sampler, scheduler, steps, guidance, max_shift, base_shift, denoise, loras=None):
+        import random
+        import time
+        from comfy_extras.nodes_custom_sampler import Noise_RandomNoise, BasicScheduler, BasicGuider, SamplerCustomAdvanced
+        from comfy_extras.nodes_latent import LatentBatch
+        from comfy_extras.nodes_model_advanced import ModelSamplingFlux, ModelSamplingAuraFlow
+        from node_helpers import conditioning_set_values
+        from nodes import LoraLoader
+
+        is_schnell = model.model.model_type == comfy.model_base.ModelType.FLOW
+
+        noise = seed.replace("\n", ",").split(",")
+        noise = [random.randint(0, 999999) if "?" in n else int(n) for n in noise]
+        if not noise:
+            noise = [random.randint(0, 999999)]
+
+        if sampler == '*':
+            sampler = comfy.samplers.KSampler.SAMPLERS
+        elif sampler.startswith("!"):
+            sampler = sampler.replace("\n", ",").split(",")
+            sampler = [s.strip("! ") for s in sampler]
+            sampler = [s for s in comfy.samplers.KSampler.SAMPLERS if s not in sampler]
+        else:
+            sampler = sampler.replace("\n", ",").split(",")
+            sampler = [s.strip() for s in sampler if s.strip() in comfy.samplers.KSampler.SAMPLERS]
+        if not sampler:
+            sampler = ['ipndm']
+
+        if scheduler == '*':
+            scheduler = comfy.samplers.KSampler.SCHEDULERS
+        elif scheduler.startswith("!"):
+            scheduler = scheduler.replace("\n", ",").split(",")
+            scheduler = [s.strip("! ") for s in scheduler]
+            scheduler = [s for s in comfy.samplers.KSampler.SCHEDULERS if s not in scheduler]
+        else:
+            scheduler = scheduler.replace("\n", ",").split(",")
+            scheduler = [s.strip() for s in scheduler]
+            scheduler = [s for s in scheduler if s in comfy.samplers.KSampler.SCHEDULERS]
+        if not scheduler:
+            scheduler = ['simple']
+
+        if steps == "":
+            if is_schnell:
+                steps = "4"
+            else:
+                steps = "20"
+        steps = parse_string_to_list(steps)
+
+        denoise = "1.0" if denoise == "" else denoise
+        denoise = parse_string_to_list(denoise)
+
+        guidance = "3.5" if guidance == "" else guidance
+        guidance = parse_string_to_list(guidance)
+
+        if not is_schnell:
+            max_shift = "1.15" if max_shift == "" else max_shift
+            base_shift = "0.5" if base_shift == "" else base_shift
+        else:
+            max_shift = "0"
+            base_shift = "1.0" if base_shift == "" else base_shift
+
+        max_shift = parse_string_to_list(max_shift)
+        base_shift = parse_string_to_list(base_shift)
+
+        cond_text = None
+        if isinstance(conditioning, dict) and "encoded" in conditioning:
+            cond_text = conditioning["text"]
+            cond_encoded = conditioning["encoded"]
+        else:
+            cond_encoded = [conditioning]
+
+        out_latent = None
+        out_params = []
+
+        basicschedueler = BasicScheduler()
+        basicguider = BasicGuider()
+        samplercustomadvanced = SamplerCustomAdvanced()
+        latentbatch = LatentBatch()
+        modelsamplingflux = ModelSamplingFlux() if not is_schnell else ModelSamplingAuraFlow()
+        width = latent_image["samples"].shape[3]*8
+        height = latent_image["samples"].shape[2]*8
+
+        lora_strength_len = 1
+        if loras:
+            lora_model = loras["loras"]
+            lora_strength = loras["strengths"]
+            lora_strength_len = sum(len(i) for i in lora_strength)
+
+            if self.loraloader is None:
+                self.loraloader = LoraLoader()
+
+        # count total number of samples
+        total_samples = len(cond_encoded) * len(noise) * len(max_shift) * len(base_shift) * len(guidance) * len(sampler) * len(scheduler) * len(steps) * len(denoise) * lora_strength_len
+        current_sample = 0
+        if total_samples > 1:
+            pbar = ProgressBar(total_samples)
+
+        lora_strength_len = 1
+        if loras:
+            lora_strength_len = len(lora_strength[0])
+
+        for los in range(lora_strength_len):
+            if loras:
+                patched_model = self.loraloader.load_lora(model, None, lora_model[0], lora_strength[0][los], 0)[0]
+            else:
+                patched_model = model
+
+            for i in range(len(cond_encoded)):
+                conditioning = cond_encoded[i]
+                ct = cond_text[i] if cond_text else None
+                for n in noise:
+                    randnoise = Noise_RandomNoise(n)
+                    for ms in max_shift:
+                        for bs in base_shift:
+                            if is_schnell:
+                                work_model = modelsamplingflux.patch_aura(patched_model, bs)[0]
+                            else:
+                                work_model = modelsamplingflux.patch(patched_model, ms, bs, width, height)[0]
+                            for g in guidance:
+                                cond = conditioning_set_values(conditioning, {"guidance": g})
+                                guider = basicguider.get_guider(work_model, cond)[0]
+                                for s in sampler:
+                                    samplerobj = comfy.samplers.sampler_object(s)
+                                    for sc in scheduler:
+                                        for st in steps:
+                                            for d in denoise:
+                                                sigmas = basicschedueler.get_sigmas(work_model, sc, st, d)[0]
+                                                current_sample += 1
+                                                log = f"Sampling {current_sample}/{total_samples} with seed {n}, sampler {s}, scheduler {sc}, steps {st}, guidance {g}, max_shift {ms}, base_shift {bs}, denoise {d}"
+                                                lora_name = None
+                                                lora_str = 0
+                                                if loras:
+                                                    lora_name = lora_model[0]
+                                                    lora_str = lora_strength[0][los]
+                                                    log += f", lora {lora_name}, lora_strength {lora_str}"
+                                                logging.info(log)
+                                                start_time = time.time()
+                                                latent = samplercustomadvanced.sample(randnoise, guider, samplerobj, sigmas, latent_image)[1]
+                                                elapsed_time = time.time() - start_time
+                                                out_params.append({"time": elapsed_time,
+                                                                "seed": n,
+                                                                "width": width,
+                                                                "height": height,
+                                                                "sampler": s,
+                                                                "scheduler": sc,
+                                                                "steps": st,
+                                                                "guidance": g,
+                                                                "max_shift": ms,
+                                                                "base_shift": bs,
+                                                                "denoise": d,
+                                                                "prompt": ct,
+                                                                "lora": lora_name,
+                                                                "lora_strength": lora_str})
+
+                                                if out_latent is None:
+                                                    out_latent = latent
+                                                else:
+                                                    out_latent = latentbatch.batch(out_latent, latent)[0]
+                                                if total_samples > 1:
+                                                    pbar.update(1)
+
+        return (out_latent, out_params)
+
+class PlotParameters:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+                    "images": ("IMAGE", ),
+                    "params": ("SAMPLER_PARAMS", ),
+                    "order_by": (["none", "time", "seed", "steps", "denoise", "sampler", "scheduler", "guidance", "max_shift", "base_shift", "lora_strength"], ),
+                    "cols_value": (["none", "time", "seed", "steps", "denoise", "sampler", "scheduler", "guidance", "max_shift", "base_shift", "lora_strength"], ),
+                    "cols_num": ("INT", {"default": -1, "min": -1, "max": 1024 }),
+                    "add_prompt": (["false", "true", "excerpt"], ),
+                    "add_params": (["false", "true", "changes only"], {"default": "true"}),
+                }}
+
+    RETURN_TYPES = ("IMAGE", )
+    FUNCTION = "execute"
+    CATEGORY = "essentials/sampling"
+
+    def execute(self, images, params, order_by, cols_value, cols_num, add_prompt, add_params):
+        from PIL import Image, ImageDraw, ImageFont
+        import math
+        import textwrap
+
+        if images.shape[0] != len(params):
+            raise ValueError("Number of images and number of parameters do not match.")
+
+        _params = params.copy()
+
+        if order_by != "none":
+            sorted_params = sorted(_params, key=lambda x: x[order_by])
+            indices = [_params.index(item) for item in sorted_params]
+            images = images[torch.tensor(indices)]
+            _params = sorted_params
+
+        if cols_value != "none" and cols_num > -1:
+            groups = {}
+            for p in _params:
+                value = p[cols_value]
+                if value not in groups:
+                    groups[value] = []
+                groups[value].append(p)
+            cols_num = len(groups)
+
+            sorted_params = []
+            groups = list(groups.values())
+            for g in zip(*groups):
+                sorted_params.extend(g)
+
+            indices = [_params.index(item) for item in sorted_params]
+            images = images[torch.tensor(indices)]
+            _params = sorted_params
+        elif cols_num == 0:
+            cols_num = int(math.sqrt(images.shape[0]))
+            cols_num = max(1, min(cols_num, 1024))
+
+        width = images.shape[2]
+        out_image = []
+
+        font = ImageFont.truetype(os.path.join(FONTS_DIR, 'ShareTechMono-Regular.ttf'), min(48, int(32*(width/1024))))
+        text_padding = 3
+        line_height = font.getmask('Q').getbbox()[3] + font.getmetrics()[1] + text_padding*2
+        char_width = font.getbbox('M')[2]+1 # using monospace font
+
+        if add_params == "changes only":
+            value_tracker = {}
+            for p in _params:
+                for key, value in p.items():
+                    if key != "time":
+                        if key not in value_tracker:
+                            value_tracker[key] = set()
+                        value_tracker[key].add(value)
+            changing_keys = {key for key, values in value_tracker.items() if len(values) > 1 or key == "prompt"}
+
+            result = []
+            for p in _params:
+                changing_params = {key: value for key, value in p.items() if key in changing_keys}
+                result.append(changing_params)
+
+            _params = result
+
+        for (image, param) in zip(images, _params):
+            image = image.permute(2, 0, 1)
+
+            if add_params != "false":
+                if add_params == "changes only":
+                    text = "\n".join([f"{key}: {value}" for key, value in param.items() if key != "prompt"])
+                else:
+                    text = f"time: {param['time']:.2f}s, seed: {param['seed']}, steps: {param['steps']}, size: {param['width']}×{param['height']}\ndenoise: {param['denoise']}, sampler: {param['sampler']}, sched: {param['scheduler']}\nguidance: {param['guidance']}, max/base shift: {param['max_shift']}/{param['base_shift']}"
+                    if 'lora' in param and param['lora']:
+                        text += f"\nLoRA: {param['lora'][:32]}, str: {param['lora_strength']}"
+
+                lines = text.split("\n")
+                text_height = line_height * len(lines)
+                text_image = Image.new('RGB', (width, text_height), color=(0, 0, 0))
+
+                for i, line in enumerate(lines):
+                    draw = ImageDraw.Draw(text_image)
+                    draw.text((text_padding, i * line_height + text_padding), line, font=font, fill=(255, 255, 255))
+
+                text_image = T.ToTensor()(text_image).to(image.device)
+                image = torch.cat([image, text_image], 1)
+
+            if 'prompt' in param and param['prompt'] and add_prompt != "false":
+                prompt = param['prompt']
+                if add_prompt == "excerpt":
+                    prompt = " ".join(param['prompt'].split()[:64])
+                    prompt += "..."
+
+                cols = math.ceil(width / char_width)
+                prompt_lines = textwrap.wrap(prompt, width=cols)
+                prompt_height = line_height * len(prompt_lines)
+                prompt_image = Image.new('RGB', (width, prompt_height), color=(0, 0, 0))
+
+                for i, line in enumerate(prompt_lines):
+                    draw = ImageDraw.Draw(prompt_image)
+                    draw.text((text_padding, i * line_height + text_padding), line, font=font, fill=(255, 255, 255))
+
+                prompt_image = T.ToTensor()(prompt_image).to(image.device)
+                image = torch.cat([image, prompt_image], 1)
+
+            # a little cleanup
+            image = torch.nan_to_num(image, nan=0.0).clamp(0.0, 1.0)
+            out_image.append(image)
+
+        # ensure all images have the same height
+        if add_prompt != "false" or add_params == "changes only":
+            max_height = max([image.shape[1] for image in out_image])
+            out_image = [F.pad(image, (0, 0, 0, max_height - image.shape[1])) for image in out_image]
+
+        out_image = torch.stack(out_image, 0).permute(0, 2, 3, 1)
+
+        # merge images
+        if cols_num > -1:
+            cols = min(cols_num, out_image.shape[0])
+            b, h, w, c = out_image.shape
+            rows = math.ceil(b / cols)
+
+            # Pad the tensor if necessary
+            if b % cols != 0:
+                padding = cols - (b % cols)
+                out_image = F.pad(out_image, (0, 0, 0, 0, 0, 0, 0, padding))
+                b = out_image.shape[0]
+
+            # Reshape and transpose
+            out_image = out_image.reshape(rows, cols, h, w, c)
+            out_image = out_image.permute(0, 2, 1, 3, 4)
+            out_image = out_image.reshape(rows * h, cols * w, c).unsqueeze(0)
+
+            """
+            width = out_image.shape[2]
+            # add the title and notes on top
+            if title and export_labels:
+                title_font = ImageFont.truetype(os.path.join(FONTS_DIR, 'ShareTechMono-Regular.ttf'), 48)
+                title_width = title_font.getbbox(title)[2]
+                title_padding = 6
+                title_line_height = title_font.getmask(title).getbbox()[3] + title_font.getmetrics()[1] + title_padding*2
+                title_text_height = title_line_height
+                title_text_image = Image.new('RGB', (width, title_text_height), color=(0, 0, 0, 0))
+
+                draw = ImageDraw.Draw(title_text_image)
+                draw.text((width//2 - title_width//2, title_padding), title, font=title_font, fill=(255, 255, 255))
+
+                title_text_image = T.ToTensor()(title_text_image).unsqueeze(0).permute([0,2,3,1]).to(out_image.device)
+                out_image = torch.cat([title_text_image, out_image], 1)
+            """
+
+        return (out_image, )
+
+SAMPLING_CLASS_MAPPINGS = {
+    "KSamplerVariationsStochastic+": KSamplerVariationsStochastic,
+    "KSamplerVariationsWithNoise+": KSamplerVariationsWithNoise,
+    "InjectLatentNoise+": InjectLatentNoise,
+    "FluxSamplerParams+": FluxSamplerParams,
+    "PlotParameters+": PlotParameters,
+    "TextEncodeForSamplerParams+": TextEncodeForSamplerParams,
+    "SamplerSelectHelper+": SamplerSelectHelper,
+    "SchedulerSelectHelper+": SchedulerSelectHelper,
+    "LorasForFluxParams+": LorasForFluxParams,
+}
+
+SAMPLING_NAME_MAPPINGS = {
+    "KSamplerVariationsStochastic+": "🔧 KSampler Stochastic Variations",
+    "KSamplerVariationsWithNoise+": "🔧 KSampler Variations with Noise Injection",
+    "InjectLatentNoise+": "🔧 Inject Latent Noise",
+    "FluxSamplerParams+": "🔧 Flux Sampler Parameters",
+    "PlotParameters+": "🔧 Plot Sampler Parameters",
+    "TextEncodeForSamplerParams+": "🔧Text Encode for Sampler Params",
+    "SamplerSelectHelper+": "🔧 Sampler Select Helper",
+    "SchedulerSelectHelper+": "🔧 Scheduler Select Helper",
+    "LorasForFluxParams+": "🔧 LoRA for Flux Parameters",
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/segmentation.py b/ComfyUI/custom_nodes/ComfyUI_essentials/segmentation.py
new file mode 100644
index 0000000000000000000000000000000000000000..55f870144afb2f51da26fd1c3bd97c03ed4223b7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/segmentation.py
@@ -0,0 +1,89 @@
+import torch
+import torchvision.transforms.v2 as T
+import torch.nn.functional as F
+from .utils import expand_mask
+
+class LoadCLIPSegModels:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {},
+        }
+
+    RETURN_TYPES = ("CLIP_SEG",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/segmentation"
+
+    def execute(self):
+        from transformers import CLIPSegProcessor, CLIPSegForImageSegmentation
+        processor = CLIPSegProcessor.from_pretrained("CIDAS/clipseg-rd64-refined")
+        model = CLIPSegForImageSegmentation.from_pretrained("CIDAS/clipseg-rd64-refined")
+
+        return ((processor, model),)
+
+class ApplyCLIPSeg:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "clip_seg": ("CLIP_SEG",),
+                "image": ("IMAGE",),
+                "prompt": ("STRING", { "multiline": False, "default": "" }),
+                "threshold": ("FLOAT", { "default": 0.4, "min": 0.0, "max": 1.0, "step": 0.05 }),
+                "smooth": ("INT", { "default": 9, "min": 0, "max": 32, "step": 1 }),
+                "dilate": ("INT", { "default": 0, "min": -32, "max": 32, "step": 1 }),
+                "blur": ("INT", { "default": 0, "min": 0, "max": 64, "step": 1 }),
+            },
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/segmentation"
+
+    def execute(self, image, clip_seg, prompt, threshold, smooth, dilate, blur):
+        processor, model = clip_seg
+
+        imagenp = image.mul(255).clamp(0, 255).byte().cpu().numpy()
+
+        outputs = []
+        for i in imagenp:
+            inputs = processor(text=prompt, images=[i], return_tensors="pt")
+            out = model(**inputs)
+            out = out.logits.unsqueeze(1)
+            out = torch.sigmoid(out[0][0])
+            out = (out > threshold)
+            outputs.append(out)
+
+        del imagenp
+
+        outputs = torch.stack(outputs, dim=0)
+
+        if smooth > 0:
+            if smooth % 2 == 0:
+                smooth += 1
+            outputs = T.functional.gaussian_blur(outputs, smooth)
+
+        outputs = outputs.float()
+
+        if dilate != 0:
+            outputs = expand_mask(outputs, dilate, True)
+
+        if blur > 0:
+            if blur % 2 == 0:
+                blur += 1
+            outputs = T.functional.gaussian_blur(outputs, blur)
+        
+        # resize to original size
+        outputs = F.interpolate(outputs.unsqueeze(1), size=(image.shape[1], image.shape[2]), mode='bicubic').squeeze(1)
+
+        return (outputs,)
+
+SEG_CLASS_MAPPINGS = {
+    "ApplyCLIPSeg+": ApplyCLIPSeg,
+    "LoadCLIPSegModels+": LoadCLIPSegModels,
+}
+
+SEG_NAME_MAPPINGS = {
+    "ApplyCLIPSeg+": "🔧 Apply CLIPSeg",
+    "LoadCLIPSegModels+": "🔧 Load CLIPSeg Models",
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/text.py b/ComfyUI/custom_nodes/ComfyUI_essentials/text.py
new file mode 100644
index 0000000000000000000000000000000000000000..ac52c4edd848bfe5358290597e212be105fb8a51
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/text.py
@@ -0,0 +1,113 @@
+import os
+import torch
+from nodes import MAX_RESOLUTION
+import torchvision.transforms.v2 as T
+from .utils import FONTS_DIR
+
+class DrawText:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "text": ("STRING", { "multiline": True, "dynamicPrompts": True, "default": "Hello, World!" }),
+                "font": (sorted([f for f in os.listdir(FONTS_DIR) if f.endswith('.ttf') or f.endswith('.otf')]), ),
+                "size": ("INT", { "default": 56, "min": 1, "max": 9999, "step": 1 }),
+                "color": ("STRING", { "multiline": False, "default": "#FFFFFF" }),
+                "background_color": ("STRING", { "multiline": False, "default": "#00000000" }),
+                "shadow_distance": ("INT", { "default": 0, "min": 0, "max": 100, "step": 1 }),
+                "shadow_blur": ("INT", { "default": 0, "min": 0, "max": 100, "step": 1 }),
+                "shadow_color": ("STRING", { "multiline": False, "default": "#000000" }),
+                "horizontal_align": (["left", "center", "right"],),
+                "vertical_align": (["top", "center", "bottom"],),
+                "offset_x": ("INT", { "default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1 }),
+                "offset_y": ("INT", { "default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1 }),
+                "direction": (["ltr", "rtl"],),
+            },
+            "optional": {
+                "img_composite": ("IMAGE",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK",)
+    FUNCTION = "execute"
+    CATEGORY = "essentials/text"
+
+    def execute(self, text, font, size, color, background_color, shadow_distance, shadow_blur, shadow_color, horizontal_align, vertical_align, offset_x, offset_y, direction, img_composite=None):
+        from PIL import Image, ImageDraw, ImageFont, ImageColor, ImageFilter
+
+        font = ImageFont.truetype(os.path.join(FONTS_DIR, font), size)
+
+        lines = text.split("\n")
+        if direction == "rtl":
+            lines = [line[::-1] for line in lines]
+
+        # Calculate the width and height of the text
+        text_width = max(font.getbbox(line)[2] for line in lines)
+        line_height = font.getmask(text).getbbox()[3] + font.getmetrics()[1]  # add descent to height
+        text_height = line_height * len(lines)
+
+        if img_composite is not None:
+            img_composite = T.ToPILImage()(img_composite.permute([0,3,1,2])[0]).convert('RGBA')
+            width = img_composite.width
+            height = img_composite.height
+            image = Image.new('RGBA', (width, height), color=background_color)
+        else:
+            width = text_width
+            height = text_height
+            background_color = ImageColor.getrgb(background_color)
+            image = Image.new('RGBA', (width + shadow_distance, height + shadow_distance), color=background_color)
+
+        image_shadow = None
+        if shadow_distance > 0:
+            image_shadow = image.copy()
+            #image_shadow = Image.new('RGBA', (width + shadow_distance, height + shadow_distance), color=background_color)
+
+        for i, line in enumerate(lines):
+            line_width = font.getbbox(line)[2]
+            #text_height =font.getbbox(line)[3]
+            if horizontal_align == "left":
+                x = 0
+            elif horizontal_align == "center":
+                x = (width - line_width) / 2
+            elif horizontal_align == "right":
+                x = width - line_width
+            
+            if vertical_align == "top":
+                y = 0
+            elif vertical_align == "center":
+                y = (height - text_height) / 2
+            elif vertical_align == "bottom":
+                y = height - text_height
+
+            x += offset_x
+            y += i * line_height + offset_y
+
+            draw = ImageDraw.Draw(image)
+            draw.text((x, y), line, font=font, fill=color)
+
+            if image_shadow is not None:
+                draw = ImageDraw.Draw(image_shadow)
+                draw.text((x + shadow_distance, y + shadow_distance), line, font=font, fill=shadow_color)
+
+        if image_shadow is not None:
+            image_shadow = image_shadow.filter(ImageFilter.GaussianBlur(shadow_blur))
+            image = Image.alpha_composite(image_shadow, image)
+
+        #image = T.ToTensor()(image).unsqueeze(0).permute([0,2,3,1])
+        mask = T.ToTensor()(image).unsqueeze(0).permute([0,2,3,1])
+        mask = mask[:, :, :, 3] if mask.shape[3] == 4 else torch.ones_like(mask[:, :, :, 0])
+
+        if img_composite is not None:
+            image = Image.alpha_composite(img_composite, image)
+        
+        image = T.ToTensor()(image).unsqueeze(0).permute([0,2,3,1])
+
+        return (image[:, :, :, :3], mask,)
+
+TEXT_CLASS_MAPPINGS = {
+    "DrawText+": DrawText,
+}
+
+TEXT_NAME_MAPPINGS = {
+    "DrawText+": "🔧 Draw Text",
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/utils.py b/ComfyUI/custom_nodes/ComfyUI_essentials/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..aa1b1146c9d03e67c0b2ca313c8ff0dd66bcfaa7
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/utils.py
@@ -0,0 +1,89 @@
+import torch
+import numpy as np
+import scipy
+import os
+#import re
+from pathlib import Path
+import folder_paths
+
+FONTS_DIR = os.path.join(os.path.dirname(os.path.realpath(__file__)), "fonts")
+
+SCRIPT_DIR = Path(__file__).parent
+folder_paths.add_model_folder_path("luts", (SCRIPT_DIR / "luts").as_posix())
+folder_paths.add_model_folder_path(
+    "luts", (Path(folder_paths.models_dir) / "luts").as_posix()
+)
+
+# from https://github.com/pythongosssss/ComfyUI-Custom-Scripts
+class AnyType(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+def min_(tensor_list):
+    # return the element-wise min of the tensor list.
+    x = torch.stack(tensor_list)
+    mn = x.min(axis=0)[0]
+    return torch.clamp(mn, min=0)
+
+def max_(tensor_list):
+    # return the element-wise max of the tensor list.
+    x = torch.stack(tensor_list)
+    mx = x.max(axis=0)[0]
+    return torch.clamp(mx, max=1)
+
+def expand_mask(mask, expand, tapered_corners):
+    c = 0 if tapered_corners else 1
+    kernel = np.array([[c, 1, c],
+                       [1, 1, 1],
+                       [c, 1, c]])
+    mask = mask.reshape((-1, mask.shape[-2], mask.shape[-1]))
+    out = []
+    for m in mask:
+        output = m.numpy()
+        for _ in range(abs(expand)):
+            if expand < 0:
+                output = scipy.ndimage.grey_erosion(output, footprint=kernel)
+            else:
+                output = scipy.ndimage.grey_dilation(output, footprint=kernel)
+        output = torch.from_numpy(output)
+        out.append(output)
+
+    return torch.stack(out, dim=0)
+
+def parse_string_to_list(s):
+    elements = s.split(',')
+    result = []
+
+    def parse_number(s):
+        try:
+            if '.' in s:
+                return float(s)
+            else:
+                return int(s)
+        except ValueError:
+            return 0
+
+    def decimal_places(s):
+        if '.' in s:
+            return len(s.split('.')[1])
+        return 0
+
+    for element in elements:
+        element = element.strip()
+        if '...' in element:
+            start, rest = element.split('...')
+            end, step = rest.split('+')
+            decimals = decimal_places(step)
+            start = parse_number(start)
+            end = parse_number(end)
+            step = parse_number(step)
+            current = start
+            if (start > end and step > 0) or (start < end and step < 0):
+                step = -step
+            while current <= end:
+                result.append(round(current, decimals))
+                current += step
+        else:
+            result.append(round(parse_number(element), decimal_places(element)))
+
+    return result
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/ComfyUI_essentials/workflow_all_nodes.json b/ComfyUI/custom_nodes/ComfyUI_essentials/workflow_all_nodes.json
new file mode 100644
index 0000000000000000000000000000000000000000..fab4c98929e12b9f7ac35bd433ffa55af81480b2
--- /dev/null
+++ b/ComfyUI/custom_nodes/ComfyUI_essentials/workflow_all_nodes.json
@@ -0,0 +1,994 @@
+{
+  "last_node_id": 42,
+  "last_link_id": 61,
+  "nodes": [
+    {
+      "id": 9,
+      "type": "ConsoleDebug+",
+      "pos": [
+        720,
+        140
+      ],
+      "size": {
+        "0": 210,
+        "1": 60
+      },
+      "flags": {},
+      "order": 12,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "value",
+          "type": "*",
+          "link": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ConsoleDebug+"
+      },
+      "widgets_values": [
+        "Height:"
+      ]
+    },
+    {
+      "id": 28,
+      "type": "PreviewImage",
+      "pos": [
+        860,
+        1180
+      ],
+      "size": {
+        "0": 210,
+        "1": 246
+      },
+      "flags": {},
+      "order": 17,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 23
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "PreviewImage"
+      }
+    },
+    {
+      "id": 12,
+      "type": "PreviewImage",
+      "pos": [
+        860,
+        580
+      ],
+      "size": {
+        "0": 210,
+        "1": 246
+      },
+      "flags": {},
+      "order": 15,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 11
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "PreviewImage"
+      }
+    },
+    {
+      "id": 14,
+      "type": "PreviewImage",
+      "pos": [
+        860,
+        880
+      ],
+      "size": {
+        "0": 210,
+        "1": 246
+      },
+      "flags": {},
+      "order": 16,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 13
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "PreviewImage"
+      }
+    },
+    {
+      "id": 18,
+      "type": "MaskPreview+",
+      "pos": [
+        2100,
+        90
+      ],
+      "size": {
+        "0": 210,
+        "1": 246
+      },
+      "flags": {},
+      "order": 20,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 19
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "MaskPreview+"
+      }
+    },
+    {
+      "id": 1,
+      "type": "GetImageSize+",
+      "pos": [
+        450,
+        80
+      ],
+      "size": {
+        "0": 210,
+        "1": 46
+      },
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 1
+        }
+      ],
+      "outputs": [
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+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/__pycache__/websocket_image_save.cpython-310.pyc b/ComfyUI/custom_nodes/__pycache__/websocket_image_save.cpython-310.pyc
new file mode 100644
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Binary files /dev/null and b/ComfyUI/custom_nodes/__pycache__/websocket_image_save.cpython-310.pyc differ
diff --git a/ComfyUI/custom_nodes/__pycache__/websocket_image_save.cpython-312.pyc b/ComfyUI/custom_nodes/__pycache__/websocket_image_save.cpython-312.pyc
new file mode 100644
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Binary files /dev/null and b/ComfyUI/custom_nodes/__pycache__/websocket_image_save.cpython-312.pyc differ
diff --git a/ComfyUI/custom_nodes/comfyui_io_helpers/.gitignore b/ComfyUI/custom_nodes/comfyui_io_helpers/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..6769e21d99a63338394e47bc4c7d0aba1e88d5a5
--- /dev/null
+++ b/ComfyUI/custom_nodes/comfyui_io_helpers/.gitignore
@@ -0,0 +1,160 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/comfyui_io_helpers/__init__.py b/ComfyUI/custom_nodes/comfyui_io_helpers/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..3d528a598109de6c9a3a6beb2bbe38d9014dbd67
--- /dev/null
+++ b/ComfyUI/custom_nodes/comfyui_io_helpers/__init__.py
@@ -0,0 +1,4 @@
+# Export classes.
+
+from .nodes import NODE_CLASS_MAPPINGS
+__all__ = ['NODE_CLASS_MAPPINGS']
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/comfyui_io_helpers/__pycache__/__init__.cpython-310.pyc b/ComfyUI/custom_nodes/comfyui_io_helpers/__pycache__/__init__.cpython-310.pyc
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diff --git a/ComfyUI/custom_nodes/comfyui_io_helpers/nodes.py b/ComfyUI/custom_nodes/comfyui_io_helpers/nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..63b24fdeaabc2c65f0205b18183637f2c32a4713
--- /dev/null
+++ b/ComfyUI/custom_nodes/comfyui_io_helpers/nodes.py
@@ -0,0 +1,400 @@
+import os
+import json
+from PIL import Image, ImageOps, ImageSequence
+from PIL.PngImagePlugin import PngInfo
+import numpy as np
+import torch
+from torch import Tensor
+from comfy.cli_args import args
+import base64
+from io import BytesIO
+
+class ImageLoadFromBase64:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "base64_string": ("STRING", {}),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    # RETURN_NAMES = ("any")
+
+    FUNCTION = "main"
+
+    #OUTPUT_NODE = False
+
+    CATEGORY = "io_helpers"
+
+    def main(self, base64_string: str):
+        # Remove the base64 prefix (e.g., "data:image/png;base64,")
+        if (base64_string.startswith("data:image/")):
+            _, base64_string = base64_string.split(",", 1)
+        decoded_bytes = base64.b64decode(base64_string)
+        file_like_object = BytesIO(decoded_bytes)
+        try: 
+            img = Image.open(file_like_object)
+        except:
+            return (None, None)
+
+        output_images = []
+        output_masks = []
+        for i in ImageSequence.Iterator(img):
+            i = ImageOps.exif_transpose(i)
+            image = i.convert("RGB")
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            if 'A' in i.getbands():
+                mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
+                mask = 1. - torch.from_numpy(mask)
+            else:
+                mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+            output_images.append(image)
+            output_masks.append(mask.unsqueeze(0))
+
+        if len(output_images) > 1:
+            output_image = torch.cat(output_images, dim=0)
+            output_mask = torch.cat(output_masks, dim=0)
+        else:
+            output_image = output_images[0]
+            output_mask = output_masks[0]
+
+        return (output_image, output_mask)
+
+class ImageLoadByPath:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "file_path": ("STRING", {}),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    # RETURN_NAMES = ("any")
+
+    FUNCTION = "main"
+
+    #OUTPUT_NODE = False
+
+    CATEGORY = "io_helpers"
+
+    def main(self, file_path: str):
+        img = Image.open(file_path)
+        output_images = []
+        output_masks = []
+        for i in ImageSequence.Iterator(img):
+            i = ImageOps.exif_transpose(i)
+            image = i.convert("RGB")
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            if 'A' in i.getbands():
+                mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
+                mask = 1. - torch.from_numpy(mask)
+            else:
+                mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+            output_images.append(image)
+            output_masks.append(mask.unsqueeze(0))
+
+        if len(output_images) > 1:
+            output_image = torch.cat(output_images, dim=0)
+            output_mask = torch.cat(output_masks, dim=0)
+        else:
+            output_image = output_images[0]
+            output_mask = output_masks[0]
+
+        return (output_image, output_mask)
+
+class ImageLoadAsMaskByPath:
+    _color_channels = ["alpha", "red", "green", "blue"]
+
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "file_path": ("STRING", {}),
+                "channel": (cls._color_channels,)
+            }
+        }
+
+    RETURN_TYPES = ("MASK",)
+    # RETURN_NAMES = ("any")
+
+    FUNCTION = "main"
+
+    #OUTPUT_NODE = False
+
+    CATEGORY = "io_helpers"
+
+    def main(self, file_path: str, channel):
+        i = Image.open(file_path)
+        i = ImageOps.exif_transpose(i)
+        if i.getbands() != ("R", "G", "B", "A"):
+            i = i.convert("RGBA")
+        mask = None
+        c = channel[0].upper()
+        if c in i.getbands():
+            mask = np.array(i.getchannel(c)).astype(np.float32) / 255.0
+            mask = torch.from_numpy(mask)
+            if c == 'A':
+                mask = 1. - mask
+        else:
+            mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+        return (mask.unsqueeze(0),)
+
+class ImageSaveToPath:
+    def __init__(self):
+        self.type = "output"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "images": ("IMAGE", {}),
+                "folder_path": ("STRING", {}),
+                "filename_prefix": ("STRING", {
+                    "default": "ComfyUI"
+                }),
+                "save_prompt": ("BOOLEAN", {
+                    "default": True,
+                }),
+                "save_extra_pnginfo": ("BOOLEAN", {
+                    "default": True,
+                }),
+                "compress_level": ("INT", {
+                    "default": 4,
+                    "min": 0,
+                    "max": 9,
+                    "step": 1
+                })
+            },
+            "hidden": {
+                "prompt": "PROMPT", 
+                "extra_pnginfo": "EXTRA_PNGINFO"
+            },
+        }
+
+    RETURN_TYPES = ()
+
+    FUNCTION = "main"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "io_helpers"
+
+    def main(
+            self, 
+            images: Tensor, 
+            folder_path: str, 
+            file_name: str, 
+            prompt=None, 
+            save_prompt=True, 
+            extra_pnginfo=None, 
+            save_extra_pnginfo=True, 
+            compress_level=4):
+        file_paths = []
+        with os.scandir(folder_path) as entries:
+            for entry in entries:
+                if entry.is_file():
+                    file_paths.append(entry.path)
+        png_paths = filter(lambda x: x.endswith(".png"), file_paths)
+        counter = 0
+        results = list()
+        for image in images:
+            i = 255. * image.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+            metadata = None
+            if not args.disable_metadata:
+                metadata = PngInfo()
+                if save_prompt and prompt is not None:
+                    metadata.add_text("prompt", json.dumps(prompt))
+                if save_extra_pnginfo and extra_pnginfo is not None:
+                    for x in extra_pnginfo:
+                        metadata.add_text(x, json.dumps(extra_pnginfo[x]))
+
+            file = f"{file_name}_{counter:05}.png"
+            full_file_path = os.path.join(folder_path, file)
+
+            while(full_file_path in png_paths):
+                counter += 1
+                file = f"{file_name}_{counter:05}.png"
+                full_file_path = os.path.join(folder_path, file)
+
+            img.save(full_file_path, pnginfo=metadata, compress_level=compress_level)
+            results.append({
+                "filename": file,
+                "folder": folder_path,
+                "full_path": full_file_path,
+                "type": self.type
+            })
+            counter += 1
+
+        return { "ui": { "images": results } }
+
+class ImageSaveAsBase64:
+    def __init__(self):
+        self.type = "output"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "images": ("IMAGE", {}),
+                "save_prompt": ("BOOLEAN", {
+                    "default": True,
+                }),
+                "save_extra_pnginfo": ("BOOLEAN", {
+                    "default": True,
+                }),
+            },
+            "hidden": {
+                "prompt": "PROMPT", 
+                "extra_pnginfo": "EXTRA_PNGINFO"
+            },
+        }
+
+    RETURN_TYPES = ()
+
+    FUNCTION = "main"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "io_helpers"
+
+    def main(
+            self, 
+            images: Tensor,
+            save_prompt=True, 
+            save_extra_pnginfo=True,
+            prompt=None, 
+            extra_pnginfo=None):
+        
+        results = list()
+        for image in images:
+            i = 255. * image.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+            metadata = None
+            if not args.disable_metadata:
+                metadata = PngInfo()
+                if save_prompt and prompt is not None:
+                    metadata.add_text("prompt", json.dumps(prompt))
+                if save_extra_pnginfo and extra_pnginfo is not None:
+                    for x in extra_pnginfo:
+                        metadata.add_text(x, json.dumps(extra_pnginfo[x]))
+
+            # Create a BytesIO object to simulate a file-like object
+            image_stream = BytesIO()
+
+            # Save the image to the BytesIO stream
+            img.save(image_stream, pnginfo=metadata, format="PNG")
+
+            # Get raw bytes from the buffer
+            image_bytes = image_stream.getvalue()
+
+            # Encode the BytesIO stream content to base64
+            base64_string = "data:image/png;base64," + base64.b64encode(image_bytes).decode("utf-8") # Decode for text representation
+
+            results.append({
+                "base64_string": base64_string,
+            })
+
+        return { "ui": { "images": results } }
+    
+class VHSFileNamesToStrings:
+    def __init__(self):
+        self.type = "output"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "vhs_filenames": ("VHS_FILENAMES", {}),
+            },
+        }
+
+    RETURN_TYPES = ()
+
+    FUNCTION = "main"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "io_helpers"
+
+    def main(
+            self, 
+            vhs_filenames:tuple):
+
+        return { "ui": { "file_paths": vhs_filenames[1] } }
+    
+class TypeConversion:
+    def __init__(self) -> None:
+        
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input_type": (["STRING", "INT", "FLOAT"], {}),
+                "output_type": (["STRING", "INT", "FLOAT"], {})
+            },
+            "optional": {
+                "string_value": ("STRING", {
+                    "default": None,
+                }),
+                "int_value": ("INT", {
+                    "default": None,
+                }),
+                "float_value": ("FLOAT", {
+                    "default": None,
+                    "step": 0.001
+                })
+            }
+        }
+    
+    RETURN_TYPES = ("STRING", "INT", "FLOAT")
+
+    FUNCTION = "main"
+
+    CATEGORY = "io_helpers"
+
+    def main(self,
+             input_type,
+             output_type,
+             string_value,
+             int_value,
+             float_value):
+        input_value = None
+        if (input_type) == "STRING":
+            input_value = string_value
+        if (input_type) == "INT":
+            input_value = int_value
+        if (input_type) == "FLOAT":
+            input_value = float_value
+        if (output_type) == "STRING":
+            return (str(input_value), 0, 0)
+        if (output_type) == "INT":
+            return ("", int(input_value), 0)
+        if (output_type) == "FLOAT":
+            return ("", 0, float(input_value))
+        
+
+NODE_CLASS_MAPPINGS = {
+    'ImageLoadFromBase64(IOHelpers)': ImageLoadFromBase64,
+    'ImageLoadByPath(IOHelpers)': ImageLoadByPath,
+    'ImageLoadAsMaskByPath(IOHelpers)': ImageLoadAsMaskByPath,
+    'ImageSaveToPath(IOHelpers)': ImageSaveToPath,
+    'ImageSaveAsBase64(IOHelpers)': ImageSaveAsBase64,
+    'VHSFileNamesToStrings(IOHelpers)': VHSFileNamesToStrings,
+    'TypeConversion(IOHelpers)': TypeConversion,
+}
\ No newline at end of file
diff --git a/ComfyUI/custom_nodes/example_node.py.example b/ComfyUI/custom_nodes/example_node.py.example
new file mode 100644
index 0000000000000000000000000000000000000000..29ab2aa72319354b147b7dd79e1c3179e54d3d06
--- /dev/null
+++ b/ComfyUI/custom_nodes/example_node.py.example
@@ -0,0 +1,155 @@
+class Example:
+    """
+    A example node
+
+    Class methods
+    -------------
+    INPUT_TYPES (dict):
+        Tell the main program input parameters of nodes.
+    IS_CHANGED:
+        optional method to control when the node is re executed.
+
+    Attributes
+    ----------
+    RETURN_TYPES (`tuple`):
+        The type of each element in the output tuple.
+    RETURN_NAMES (`tuple`):
+        Optional: The name of each output in the output tuple.
+    FUNCTION (`str`):
+        The name of the entry-point method. For example, if `FUNCTION = "execute"` then it will run Example().execute()
+    OUTPUT_NODE ([`bool`]):
+        If this node is an output node that outputs a result/image from the graph. The SaveImage node is an example.
+        The backend iterates on these output nodes and tries to execute all their parents if their parent graph is properly connected.
+        Assumed to be False if not present.
+    CATEGORY (`str`):
+        The category the node should appear in the UI.
+    DEPRECATED (`bool`):
+        Indicates whether the node is deprecated. Deprecated nodes are hidden by default in the UI, but remain
+        functional in existing workflows that use them.
+    EXPERIMENTAL (`bool`):
+        Indicates whether the node is experimental. Experimental nodes are marked as such in the UI and may be subject to
+        significant changes or removal in future versions. Use with caution in production workflows.
+    execute(s) -> tuple || None:
+        The entry point method. The name of this method must be the same as the value of property `FUNCTION`.
+        For example, if `FUNCTION = "execute"` then this method's name must be `execute`, if `FUNCTION = "foo"` then it must be `foo`.
+    """
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(s):
+        """
+            Return a dictionary which contains config for all input fields.
+            Some types (string): "MODEL", "VAE", "CLIP", "CONDITIONING", "LATENT", "IMAGE", "INT", "STRING", "FLOAT".
+            Input types "INT", "STRING" or "FLOAT" are special values for fields on the node.
+            The type can be a list for selection.
+
+            Returns: `dict`:
+                - Key input_fields_group (`string`): Can be either required, hidden or optional. A node class must have property `required`
+                - Value input_fields (`dict`): Contains input fields config:
+                    * Key field_name (`string`): Name of a entry-point method's argument
+                    * Value field_config (`tuple`):
+                        + First value is a string indicate the type of field or a list for selection.
+                        + Second value is a config for type "INT", "STRING" or "FLOAT".
+        """
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "int_field": ("INT", {
+                    "default": 0, 
+                    "min": 0, #Minimum value
+                    "max": 4096, #Maximum value
+                    "step": 64, #Slider's step
+                    "display": "number", # Cosmetic only: display as "number" or "slider"
+                    "lazy": True # Will only be evaluated if check_lazy_status requires it
+                }),
+                "float_field": ("FLOAT", {
+                    "default": 1.0,
+                    "min": 0.0,
+                    "max": 10.0,
+                    "step": 0.01,
+                    "round": 0.001, #The value representing the precision to round to, will be set to the step value by default. Can be set to False to disable rounding.
+                    "display": "number",
+                    "lazy": True
+                }),
+                "print_to_screen": (["enable", "disable"],),
+                "string_field": ("STRING", {
+                    "multiline": False, #True if you want the field to look like the one on the ClipTextEncode node
+                    "default": "Hello World!",
+                    "lazy": True
+                }),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    #RETURN_NAMES = ("image_output_name",)
+
+    FUNCTION = "test"
+
+    #OUTPUT_NODE = False
+
+    CATEGORY = "Example"
+
+    def check_lazy_status(self, image, string_field, int_field, float_field, print_to_screen):
+        """
+            Return a list of input names that need to be evaluated.
+
+            This function will be called if there are any lazy inputs which have not yet been
+            evaluated. As long as you return at least one field which has not yet been evaluated
+            (and more exist), this function will be called again once the value of the requested
+            field is available.
+
+            Any evaluated inputs will be passed as arguments to this function. Any unevaluated
+            inputs will have the value None.
+        """
+        if print_to_screen == "enable":
+            return ["int_field", "float_field", "string_field"]
+        else:
+            return []
+
+    def test(self, image, string_field, int_field, float_field, print_to_screen):
+        if print_to_screen == "enable":
+            print(f"""Your input contains:
+                string_field aka input text: {string_field}
+                int_field: {int_field}
+                float_field: {float_field}
+            """)
+        #do some processing on the image, in this example I just invert it
+        image = 1.0 - image
+        return (image,)
+
+    """
+        The node will always be re executed if any of the inputs change but
+        this method can be used to force the node to execute again even when the inputs don't change.
+        You can make this node return a number or a string. This value will be compared to the one returned the last time the node was
+        executed, if it is different the node will be executed again.
+        This method is used in the core repo for the LoadImage node where they return the image hash as a string, if the image hash
+        changes between executions the LoadImage node is executed again.
+    """
+    #@classmethod
+    #def IS_CHANGED(s, image, string_field, int_field, float_field, print_to_screen):
+    #    return ""
+
+# Set the web directory, any .js file in that directory will be loaded by the frontend as a frontend extension
+# WEB_DIRECTORY = "./somejs"
+
+
+# Add custom API routes, using router
+from aiohttp import web
+from server import PromptServer
+
+@PromptServer.instance.routes.get("/hello")
+async def get_hello(request):
+    return web.json_response("hello")
+
+
+# A dictionary that contains all nodes you want to export with their names
+# NOTE: names should be globally unique
+NODE_CLASS_MAPPINGS = {
+    "Example": Example
+}
+
+# A dictionary that contains the friendly/humanly readable titles for the nodes
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "Example": "Example Node"
+}
diff --git a/ComfyUI/custom_nodes/websocket_image_save.py b/ComfyUI/custom_nodes/websocket_image_save.py
new file mode 100644
index 0000000000000000000000000000000000000000..5aa57364225c6bfff1e82207d150d0e48a58c9c6
--- /dev/null
+++ b/ComfyUI/custom_nodes/websocket_image_save.py
@@ -0,0 +1,45 @@
+from PIL import Image, ImageOps
+from io import BytesIO
+import numpy as np
+import struct
+import comfy.utils
+import time
+
+#You can use this node to save full size images through the websocket, the
+#images will be sent in exactly the same format as the image previews: as
+#binary images on the websocket with a 8 byte header indicating the type
+#of binary message (first 4 bytes) and the image format (next 4 bytes).
+
+#Note that no metadata will be put in the images saved with this node.
+
+class SaveImageWebsocket:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"images": ("IMAGE", ),}
+                }
+
+    RETURN_TYPES = ()
+    FUNCTION = "save_images"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "api/image"
+
+    def save_images(self, images):
+        pbar = comfy.utils.ProgressBar(images.shape[0])
+        step = 0
+        for image in images:
+            i = 255. * image.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+            pbar.update_absolute(step, images.shape[0], ("PNG", img, None))
+            step += 1
+
+        return {}
+
+    def IS_CHANGED(s, images):
+        return time.time()
+
+NODE_CLASS_MAPPINGS = {
+    "SaveImageWebsocket": SaveImageWebsocket,
+}
diff --git a/ComfyUI/execution.py b/ComfyUI/execution.py
new file mode 100644
index 0000000000000000000000000000000000000000..e66aabbcc37b42bd9ace4df2be4b07753e3da95d
--- /dev/null
+++ b/ComfyUI/execution.py
@@ -0,0 +1,985 @@
+import sys
+import copy
+import logging
+import threading
+import heapq
+import time
+import traceback
+from enum import Enum
+import inspect
+from typing import List, Literal, NamedTuple, Optional
+
+import torch
+import nodes
+
+import comfy.model_management
+from comfy_execution.graph import get_input_info, ExecutionList, DynamicPrompt, ExecutionBlocker
+from comfy_execution.graph_utils import is_link, GraphBuilder
+from comfy_execution.caching import HierarchicalCache, LRUCache, CacheKeySetInputSignature, CacheKeySetID
+from comfy.cli_args import args
+
+class ExecutionResult(Enum):
+    SUCCESS = 0
+    FAILURE = 1
+    PENDING = 2
+
+class DuplicateNodeError(Exception):
+    pass
+
+class IsChangedCache:
+    def __init__(self, dynprompt, outputs_cache):
+        self.dynprompt = dynprompt
+        self.outputs_cache = outputs_cache
+        self.is_changed = {}
+
+    def get(self, node_id):
+        if node_id in self.is_changed:
+            return self.is_changed[node_id]
+
+        node = self.dynprompt.get_node(node_id)
+        class_type = node["class_type"]
+        class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
+        if not hasattr(class_def, "IS_CHANGED"):
+            self.is_changed[node_id] = False
+            return self.is_changed[node_id]
+
+        if "is_changed" in node:
+            self.is_changed[node_id] = node["is_changed"]
+            return self.is_changed[node_id]
+
+        # Intentionally do not use cached outputs here. We only want constants in IS_CHANGED
+        input_data_all, _ = get_input_data(node["inputs"], class_def, node_id, None)
+        try:
+            is_changed = _map_node_over_list(class_def, input_data_all, "IS_CHANGED")
+            node["is_changed"] = [None if isinstance(x, ExecutionBlocker) else x for x in is_changed]
+        except Exception as e:
+            logging.warning("WARNING: {}".format(e))
+            node["is_changed"] = float("NaN")
+        finally:
+            self.is_changed[node_id] = node["is_changed"]
+        return self.is_changed[node_id]
+
+class CacheSet:
+    def __init__(self, lru_size=None):
+        if lru_size is None or lru_size == 0:
+            self.init_classic_cache() 
+        else:
+            self.init_lru_cache(lru_size)
+        self.all = [self.outputs, self.ui, self.objects]
+
+    # Useful for those with ample RAM/VRAM -- allows experimenting without
+    # blowing away the cache every time
+    def init_lru_cache(self, cache_size):
+        self.outputs = LRUCache(CacheKeySetInputSignature, max_size=cache_size)
+        self.ui = LRUCache(CacheKeySetInputSignature, max_size=cache_size)
+        self.objects = HierarchicalCache(CacheKeySetID)
+
+    # Performs like the old cache -- dump data ASAP
+    def init_classic_cache(self):
+        self.outputs = HierarchicalCache(CacheKeySetInputSignature)
+        self.ui = HierarchicalCache(CacheKeySetInputSignature)
+        self.objects = HierarchicalCache(CacheKeySetID)
+
+    def recursive_debug_dump(self):
+        result = {
+            "outputs": self.outputs.recursive_debug_dump(),
+            "ui": self.ui.recursive_debug_dump(),
+        }
+        return result
+
+def get_input_data(inputs, class_def, unique_id, outputs=None, dynprompt=None, extra_data={}):
+    valid_inputs = class_def.INPUT_TYPES()
+    input_data_all = {}
+    missing_keys = {}
+    for x in inputs:
+        input_data = inputs[x]
+        input_type, input_category, input_info = get_input_info(class_def, x)
+        def mark_missing():
+            missing_keys[x] = True
+            input_data_all[x] = (None,)
+        if is_link(input_data) and (not input_info or not input_info.get("rawLink", False)):
+            input_unique_id = input_data[0]
+            output_index = input_data[1]
+            if outputs is None:
+                mark_missing()
+                continue # This might be a lazily-evaluated input
+            cached_output = outputs.get(input_unique_id)
+            if cached_output is None:
+                mark_missing()
+                continue
+            if output_index >= len(cached_output):
+                mark_missing()
+                continue
+            obj = cached_output[output_index]
+            input_data_all[x] = obj
+        elif input_category is not None:
+            input_data_all[x] = [input_data]
+
+    if "hidden" in valid_inputs:
+        h = valid_inputs["hidden"]
+        for x in h:
+            if h[x] == "PROMPT":
+                input_data_all[x] = [dynprompt.get_original_prompt() if dynprompt is not None else {}]
+            if h[x] == "DYNPROMPT":
+                input_data_all[x] = [dynprompt]
+            if h[x] == "EXTRA_PNGINFO":
+                input_data_all[x] = [extra_data.get('extra_pnginfo', None)]
+            if h[x] == "UNIQUE_ID":
+                input_data_all[x] = [unique_id]
+    return input_data_all, missing_keys
+
+map_node_over_list = None #Don't hook this please
+
+def _map_node_over_list(obj, input_data_all, func, allow_interrupt=False, execution_block_cb=None, pre_execute_cb=None):
+    # check if node wants the lists
+    input_is_list = getattr(obj, "INPUT_IS_LIST", False)
+
+    if len(input_data_all) == 0:
+        max_len_input = 0
+    else:
+        max_len_input = max(len(x) for x in input_data_all.values())
+     
+    # get a slice of inputs, repeat last input when list isn't long enough
+    def slice_dict(d, i):
+        return {k: v[i if len(v) > i else -1] for k, v in d.items()}
+    
+    results = []
+    def process_inputs(inputs, index=None):
+        if allow_interrupt:
+            nodes.before_node_execution()
+        execution_block = None
+        for k, v in inputs.items():
+            if isinstance(v, ExecutionBlocker):
+                execution_block = execution_block_cb(v) if execution_block_cb else v
+                break
+        if execution_block is None:
+            if pre_execute_cb is not None and index is not None:
+                pre_execute_cb(index)
+            results.append(getattr(obj, func)(**inputs))
+        else:
+            results.append(execution_block)
+
+    if input_is_list:
+        process_inputs(input_data_all, 0)
+    elif max_len_input == 0:
+        process_inputs({})
+    else: 
+        for i in range(max_len_input):
+            input_dict = slice_dict(input_data_all, i)
+            process_inputs(input_dict, i)
+    return results
+
+def merge_result_data(results, obj):
+    # check which outputs need concatenating
+    output = []
+    output_is_list = [False] * len(results[0])
+    if hasattr(obj, "OUTPUT_IS_LIST"):
+        output_is_list = obj.OUTPUT_IS_LIST
+
+    # merge node execution results
+    for i, is_list in zip(range(len(results[0])), output_is_list):
+        if is_list:
+            output.append([x for o in results for x in o[i]])
+        else:
+            output.append([o[i] for o in results])
+    return output
+
+def get_output_data(obj, input_data_all, execution_block_cb=None, pre_execute_cb=None):
+    
+    results = []
+    uis = []
+    subgraph_results = []
+    return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
+    has_subgraph = False
+    for i in range(len(return_values)):
+        r = return_values[i]
+        if isinstance(r, dict):
+            if 'ui' in r:
+                uis.append(r['ui'])
+            if 'expand' in r:
+                # Perform an expansion, but do not append results
+                has_subgraph = True
+                new_graph = r['expand']
+                result = r.get("result", None)
+                if isinstance(result, ExecutionBlocker):
+                    result = tuple([result] * len(obj.RETURN_TYPES))
+                subgraph_results.append((new_graph, result))
+            elif 'result' in r:
+                result = r.get("result", None)
+                if isinstance(result, ExecutionBlocker):
+                    result = tuple([result] * len(obj.RETURN_TYPES))
+                results.append(result)
+                subgraph_results.append((None, result))
+        else:
+            if isinstance(r, ExecutionBlocker):
+                r = tuple([r] * len(obj.RETURN_TYPES))
+            results.append(r)
+            subgraph_results.append((None, r))
+    
+    if has_subgraph:
+        output = subgraph_results
+    elif len(results) > 0:
+        output = merge_result_data(results, obj)
+    else:
+        output = []
+    ui = dict()    
+    if len(uis) > 0:
+        ui = {k: [y for x in uis for y in x[k]] for k in uis[0].keys()}
+    return output, ui, has_subgraph
+
+def format_value(x):
+    if x is None:
+        return None
+    elif isinstance(x, (int, float, bool, str)):
+        return x
+    else:
+        return str(x)
+
+def execute(server, dynprompt, caches, current_item, extra_data, executed, prompt_id, execution_list, pending_subgraph_results):
+    unique_id = current_item
+    real_node_id = dynprompt.get_real_node_id(unique_id)
+    display_node_id = dynprompt.get_display_node_id(unique_id)
+    parent_node_id = dynprompt.get_parent_node_id(unique_id)
+    inputs = dynprompt.get_node(unique_id)['inputs']
+    class_type = dynprompt.get_node(unique_id)['class_type']
+    class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
+    if caches.outputs.get(unique_id) is not None:
+        if server.client_id is not None:
+            cached_output = caches.ui.get(unique_id) or {}
+            server.send_sync("executed", { "node": unique_id, "display_node": display_node_id, "output": cached_output.get("output",None), "prompt_id": prompt_id }, server.client_id)
+        return (ExecutionResult.SUCCESS, None, None)
+
+    input_data_all = None
+    try:
+        if unique_id in pending_subgraph_results:
+            cached_results = pending_subgraph_results[unique_id]
+            resolved_outputs = []
+            for is_subgraph, result in cached_results:
+                if not is_subgraph:
+                    resolved_outputs.append(result)
+                else:
+                    resolved_output = []
+                    for r in result:
+                        if is_link(r):
+                            source_node, source_output = r[0], r[1]
+                            node_output = caches.outputs.get(source_node)[source_output]
+                            for o in node_output:
+                                resolved_output.append(o)
+
+                        else:
+                            resolved_output.append(r)
+                    resolved_outputs.append(tuple(resolved_output))
+            output_data = merge_result_data(resolved_outputs, class_def)
+            output_ui = []
+            has_subgraph = False
+        else:
+            input_data_all, missing_keys = get_input_data(inputs, class_def, unique_id, caches.outputs, dynprompt, extra_data)
+            if server.client_id is not None:
+                server.last_node_id = display_node_id
+                server.send_sync("executing", { "node": unique_id, "display_node": display_node_id, "prompt_id": prompt_id }, server.client_id)
+
+            obj = caches.objects.get(unique_id)
+            if obj is None:
+                obj = class_def()
+                caches.objects.set(unique_id, obj)
+
+            if hasattr(obj, "check_lazy_status"):
+                required_inputs = _map_node_over_list(obj, input_data_all, "check_lazy_status", allow_interrupt=True)
+                required_inputs = set(sum([r for r in required_inputs if isinstance(r,list)], []))
+                required_inputs = [x for x in required_inputs if isinstance(x,str) and (
+                    x not in input_data_all or x in missing_keys
+                )]
+                if len(required_inputs) > 0:
+                    for i in required_inputs:
+                        execution_list.make_input_strong_link(unique_id, i)
+                    return (ExecutionResult.PENDING, None, None)
+
+            def execution_block_cb(block):
+                if block.message is not None:
+                    mes = {
+                        "prompt_id": prompt_id,
+                        "node_id": unique_id,
+                        "node_type": class_type,
+                        "executed": list(executed),
+
+                        "exception_message": f"Execution Blocked: {block.message}",
+                        "exception_type": "ExecutionBlocked",
+                        "traceback": [],
+                        "current_inputs": [],
+                        "current_outputs": [],
+                    }
+                    server.send_sync("execution_error", mes, server.client_id)
+                    return ExecutionBlocker(None)
+                else:
+                    return block
+            def pre_execute_cb(call_index):
+                GraphBuilder.set_default_prefix(unique_id, call_index, 0)
+            output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
+        if len(output_ui) > 0:
+            caches.ui.set(unique_id, {
+                "meta": {
+                    "node_id": unique_id,
+                    "display_node": display_node_id,
+                    "parent_node": parent_node_id,
+                    "real_node_id": real_node_id,
+                },
+                "output": output_ui
+            })
+            if server.client_id is not None:
+                server.send_sync("executed", { "node": unique_id, "display_node": display_node_id, "output": output_ui, "prompt_id": prompt_id }, server.client_id)
+        if has_subgraph:
+            cached_outputs = []
+            new_node_ids = []
+            new_output_ids = []
+            new_output_links = []
+            for i in range(len(output_data)):
+                new_graph, node_outputs = output_data[i]
+                if new_graph is None:
+                    cached_outputs.append((False, node_outputs))
+                else:
+                    # Check for conflicts
+                    for node_id in new_graph.keys():
+                        if dynprompt.has_node(node_id):
+                            raise DuplicateNodeError(f"Attempt to add duplicate node {node_id}. Ensure node ids are unique and deterministic or use graph_utils.GraphBuilder.")
+                    for node_id, node_info in new_graph.items():
+                        new_node_ids.append(node_id)
+                        display_id = node_info.get("override_display_id", unique_id)
+                        dynprompt.add_ephemeral_node(node_id, node_info, unique_id, display_id)
+                        # Figure out if the newly created node is an output node
+                        class_type = node_info["class_type"]
+                        class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
+                        if hasattr(class_def, 'OUTPUT_NODE') and class_def.OUTPUT_NODE == True:
+                            new_output_ids.append(node_id)
+                    for i in range(len(node_outputs)):
+                        if is_link(node_outputs[i]):
+                            from_node_id, from_socket = node_outputs[i][0], node_outputs[i][1]
+                            new_output_links.append((from_node_id, from_socket))
+                    cached_outputs.append((True, node_outputs))
+            new_node_ids = set(new_node_ids)
+            for cache in caches.all:
+                cache.ensure_subcache_for(unique_id, new_node_ids).clean_unused()
+            for node_id in new_output_ids:
+                execution_list.add_node(node_id)
+            for link in new_output_links:
+                execution_list.add_strong_link(link[0], link[1], unique_id)
+            pending_subgraph_results[unique_id] = cached_outputs
+            return (ExecutionResult.PENDING, None, None)
+        caches.outputs.set(unique_id, output_data)
+    except comfy.model_management.InterruptProcessingException as iex:
+        logging.info("Processing interrupted")
+
+        # skip formatting inputs/outputs
+        error_details = {
+            "node_id": real_node_id,
+        }
+
+        return (ExecutionResult.FAILURE, error_details, iex)
+    except Exception as ex:
+        typ, _, tb = sys.exc_info()
+        exception_type = full_type_name(typ)
+        input_data_formatted = {}
+        if input_data_all is not None:
+            input_data_formatted = {}
+            for name, inputs in input_data_all.items():
+                input_data_formatted[name] = [format_value(x) for x in inputs]
+
+        logging.error(f"!!! Exception during processing !!! {ex}")
+        logging.error(traceback.format_exc())
+
+        error_details = {
+            "node_id": real_node_id,
+            "exception_message": str(ex),
+            "exception_type": exception_type,
+            "traceback": traceback.format_tb(tb),
+            "current_inputs": input_data_formatted
+        }
+        if isinstance(ex, comfy.model_management.OOM_EXCEPTION):
+            logging.error("Got an OOM, unloading all loaded models.")
+            comfy.model_management.unload_all_models()
+
+        return (ExecutionResult.FAILURE, error_details, ex)
+
+    executed.add(unique_id)
+
+    return (ExecutionResult.SUCCESS, None, None)
+
+class PromptExecutor:
+    def __init__(self, server, lru_size=None):
+        self.lru_size = lru_size
+        self.server = server
+        self.reset()
+
+    def reset(self):
+        self.caches = CacheSet(self.lru_size)
+        self.status_messages = []
+        self.success = True
+
+    def add_message(self, event, data: dict, broadcast: bool):
+        data = {
+            **data,
+            "timestamp": int(time.time() * 1000),
+        }
+        self.status_messages.append((event, data))
+        if self.server.client_id is not None or broadcast:
+            self.server.send_sync(event, data, self.server.client_id)
+
+    def handle_execution_error(self, prompt_id, prompt, current_outputs, executed, error, ex):
+        node_id = error["node_id"]
+        class_type = prompt[node_id]["class_type"]
+
+        # First, send back the status to the frontend depending
+        # on the exception type
+        if isinstance(ex, comfy.model_management.InterruptProcessingException):
+            mes = {
+                "prompt_id": prompt_id,
+                "node_id": node_id,
+                "node_type": class_type,
+                "executed": list(executed),
+            }
+            self.add_message("execution_interrupted", mes, broadcast=True)
+        else:
+            mes = {
+                "prompt_id": prompt_id,
+                "node_id": node_id,
+                "node_type": class_type,
+                "executed": list(executed),
+                "exception_message": error["exception_message"],
+                "exception_type": error["exception_type"],
+                "traceback": error["traceback"],
+                "current_inputs": error["current_inputs"],
+                "current_outputs": list(current_outputs),
+            }
+            self.add_message("execution_error", mes, broadcast=False)
+
+    def execute(self, prompt, prompt_id, extra_data={}, execute_outputs=[]):
+        nodes.interrupt_processing(False)
+
+        if "client_id" in extra_data:
+            self.server.client_id = extra_data["client_id"]
+        else:
+            self.server.client_id = None
+
+        self.status_messages = []
+        self.add_message("execution_start", { "prompt_id": prompt_id}, broadcast=False)
+
+        with torch.inference_mode():
+            dynamic_prompt = DynamicPrompt(prompt)
+            is_changed_cache = IsChangedCache(dynamic_prompt, self.caches.outputs)
+            for cache in self.caches.all:
+                cache.set_prompt(dynamic_prompt, prompt.keys(), is_changed_cache)
+                cache.clean_unused()
+
+            cached_nodes = []
+            for node_id in prompt:
+                if self.caches.outputs.get(node_id) is not None:
+                    cached_nodes.append(node_id)
+
+            comfy.model_management.cleanup_models(keep_clone_weights_loaded=True)
+            self.add_message("execution_cached",
+                          { "nodes": cached_nodes, "prompt_id": prompt_id},
+                          broadcast=False)
+            pending_subgraph_results = {}
+            executed = set()
+            execution_list = ExecutionList(dynamic_prompt, self.caches.outputs)
+            current_outputs = self.caches.outputs.all_node_ids()
+            for node_id in list(execute_outputs):
+                execution_list.add_node(node_id)
+
+            while not execution_list.is_empty():
+                node_id, error, ex = execution_list.stage_node_execution()
+                if error is not None:
+                    self.handle_execution_error(prompt_id, dynamic_prompt.original_prompt, current_outputs, executed, error, ex)
+                    break
+
+                result, error, ex = execute(self.server, dynamic_prompt, self.caches, node_id, extra_data, executed, prompt_id, execution_list, pending_subgraph_results)
+                self.success = result != ExecutionResult.FAILURE
+                if result == ExecutionResult.FAILURE:
+                    self.handle_execution_error(prompt_id, dynamic_prompt.original_prompt, current_outputs, executed, error, ex)
+                    break
+                elif result == ExecutionResult.PENDING:
+                    execution_list.unstage_node_execution()
+                else: # result == ExecutionResult.SUCCESS:
+                    execution_list.complete_node_execution()
+            else:
+                # Only execute when the while-loop ends without break
+                self.add_message("execution_success", { "prompt_id": prompt_id }, broadcast=False)
+
+            ui_outputs = {}
+            meta_outputs = {}
+            all_node_ids = self.caches.ui.all_node_ids()
+            for node_id in all_node_ids:
+                ui_info = self.caches.ui.get(node_id)
+                if ui_info is not None:
+                    ui_outputs[node_id] = ui_info["output"]
+                    meta_outputs[node_id] = ui_info["meta"]
+            self.history_result = {
+                "outputs": ui_outputs,
+                "meta": meta_outputs,
+            }
+            self.server.last_node_id = None
+            if comfy.model_management.DISABLE_SMART_MEMORY:
+                comfy.model_management.unload_all_models()
+
+
+
+def validate_inputs(prompt, item, validated):
+    unique_id = item
+    if unique_id in validated:
+        return validated[unique_id]
+
+    inputs = prompt[unique_id]['inputs']
+    class_type = prompt[unique_id]['class_type']
+    obj_class = nodes.NODE_CLASS_MAPPINGS[class_type]
+
+    class_inputs = obj_class.INPUT_TYPES()
+    valid_inputs = set(class_inputs.get('required',{})).union(set(class_inputs.get('optional',{})))
+
+    errors = []
+    valid = True
+
+    validate_function_inputs = []
+    validate_has_kwargs = False
+    if hasattr(obj_class, "VALIDATE_INPUTS"):
+        argspec = inspect.getfullargspec(obj_class.VALIDATE_INPUTS)
+        validate_function_inputs = argspec.args
+        validate_has_kwargs = argspec.varkw is not None
+    received_types = {}
+
+    for x in valid_inputs:
+        type_input, input_category, extra_info = get_input_info(obj_class, x)
+        assert extra_info is not None
+        if x not in inputs:
+            if input_category == "required":
+                error = {
+                    "type": "required_input_missing",
+                    "message": "Required input is missing",
+                    "details": f"{x}",
+                    "extra_info": {
+                        "input_name": x
+                    }
+                }
+                errors.append(error)
+            continue
+
+        val = inputs[x]
+        info = (type_input, extra_info)
+        if isinstance(val, list):
+            if len(val) != 2:
+                error = {
+                    "type": "bad_linked_input",
+                    "message": "Bad linked input, must be a length-2 list of [node_id, slot_index]",
+                    "details": f"{x}",
+                    "extra_info": {
+                        "input_name": x,
+                        "input_config": info,
+                        "received_value": val
+                    }
+                }
+                errors.append(error)
+                continue
+
+            o_id = val[0]
+            o_class_type = prompt[o_id]['class_type']
+            r = nodes.NODE_CLASS_MAPPINGS[o_class_type].RETURN_TYPES
+            received_type = r[val[1]]
+            received_types[x] = received_type
+            if 'input_types' not in validate_function_inputs and received_type != type_input:
+                details = f"{x}, {received_type} != {type_input}"
+                error = {
+                    "type": "return_type_mismatch",
+                    "message": "Return type mismatch between linked nodes",
+                    "details": details,
+                    "extra_info": {
+                        "input_name": x,
+                        "input_config": info,
+                        "received_type": received_type,
+                        "linked_node": val
+                    }
+                }
+                errors.append(error)
+                continue
+            try:
+                r = validate_inputs(prompt, o_id, validated)
+                if r[0] is False:
+                    # `r` will be set in `validated[o_id]` already
+                    valid = False
+                    continue
+            except Exception as ex:
+                typ, _, tb = sys.exc_info()
+                valid = False
+                exception_type = full_type_name(typ)
+                reasons = [{
+                    "type": "exception_during_inner_validation",
+                    "message": "Exception when validating inner node",
+                    "details": str(ex),
+                    "extra_info": {
+                        "input_name": x,
+                        "input_config": info,
+                        "exception_message": str(ex),
+                        "exception_type": exception_type,
+                        "traceback": traceback.format_tb(tb),
+                        "linked_node": val
+                    }
+                }]
+                validated[o_id] = (False, reasons, o_id)
+                continue
+        else:
+            try:
+                if type_input == "INT":
+                    val = int(val)
+                    inputs[x] = val
+                if type_input == "FLOAT":
+                    val = float(val)
+                    inputs[x] = val
+                if type_input == "STRING":
+                    val = str(val)
+                    inputs[x] = val
+                if type_input == "BOOLEAN":
+                    val = bool(val)
+                    inputs[x] = val
+            except Exception as ex:
+                error = {
+                    "type": "invalid_input_type",
+                    "message": f"Failed to convert an input value to a {type_input} value",
+                    "details": f"{x}, {val}, {ex}",
+                    "extra_info": {
+                        "input_name": x,
+                        "input_config": info,
+                        "received_value": val,
+                        "exception_message": str(ex)
+                    }
+                }
+                errors.append(error)
+                continue
+
+            if x not in validate_function_inputs and not validate_has_kwargs:
+                if "min" in extra_info and val < extra_info["min"]:
+                    error = {
+                        "type": "value_smaller_than_min",
+                        "message": "Value {} smaller than min of {}".format(val, extra_info["min"]),
+                        "details": f"{x}",
+                        "extra_info": {
+                            "input_name": x,
+                            "input_config": info,
+                            "received_value": val,
+                        }
+                    }
+                    errors.append(error)
+                    continue
+                if "max" in extra_info and val > extra_info["max"]:
+                    error = {
+                        "type": "value_bigger_than_max",
+                        "message": "Value {} bigger than max of {}".format(val, extra_info["max"]),
+                        "details": f"{x}",
+                        "extra_info": {
+                            "input_name": x,
+                            "input_config": info,
+                            "received_value": val,
+                        }
+                    }
+                    errors.append(error)
+                    continue
+
+                if isinstance(type_input, list):
+                    if val not in type_input:
+                        input_config = info
+                        list_info = ""
+
+                        # Don't send back gigantic lists like if they're lots of
+                        # scanned model filepaths
+                        if len(type_input) > 20:
+                            list_info = f"(list of length {len(type_input)})"
+                            input_config = None
+                        else:
+                            list_info = str(type_input)
+
+                        error = {
+                            "type": "value_not_in_list",
+                            "message": "Value not in list",
+                            "details": f"{x}: '{val}' not in {list_info}",
+                            "extra_info": {
+                                "input_name": x,
+                                "input_config": input_config,
+                                "received_value": val,
+                            }
+                        }
+                        errors.append(error)
+                        continue
+
+    if len(validate_function_inputs) > 0 or validate_has_kwargs:
+        input_data_all, _ = get_input_data(inputs, obj_class, unique_id)
+        input_filtered = {}
+        for x in input_data_all:
+            if x in validate_function_inputs or validate_has_kwargs:
+                input_filtered[x] = input_data_all[x]
+        if 'input_types' in validate_function_inputs:
+            input_filtered['input_types'] = [received_types]
+
+        #ret = obj_class.VALIDATE_INPUTS(**input_filtered)
+        ret = _map_node_over_list(obj_class, input_filtered, "VALIDATE_INPUTS")
+        for x in input_filtered:
+            for i, r in enumerate(ret):
+                if r is not True and not isinstance(r, ExecutionBlocker):
+                    details = f"{x}"
+                    if r is not False:
+                        details += f" - {str(r)}"
+
+                    error = {
+                        "type": "custom_validation_failed",
+                        "message": "Custom validation failed for node",
+                        "details": details,
+                        "extra_info": {
+                            "input_name": x,
+                        }
+                    }
+                    errors.append(error)
+                    continue
+
+    if len(errors) > 0 or valid is not True:
+        ret = (False, errors, unique_id)
+    else:
+        ret = (True, [], unique_id)
+
+    validated[unique_id] = ret
+    return ret
+
+def full_type_name(klass):
+    module = klass.__module__
+    if module == 'builtins':
+        return klass.__qualname__
+    return module + '.' + klass.__qualname__
+
+def validate_prompt(prompt):
+    outputs = set()
+    for x in prompt:
+        if 'class_type' not in prompt[x]:
+            error = {
+                "type": "invalid_prompt",
+                "message": f"Cannot execute because a node is missing the class_type property.",
+                "details": f"Node ID '#{x}'",
+                "extra_info": {}
+            }
+            return (False, error, [], [])
+
+        class_type = prompt[x]['class_type']
+        class_ = nodes.NODE_CLASS_MAPPINGS.get(class_type, None)
+        if class_ is None:
+            error = {
+                "type": "invalid_prompt",
+                "message": f"Cannot execute because node {class_type} does not exist.",
+                "details": f"Node ID '#{x}'",
+                "extra_info": {}
+            }
+            return (False, error, [], [])
+
+        if hasattr(class_, 'OUTPUT_NODE') and class_.OUTPUT_NODE is True:
+            outputs.add(x)
+
+    if len(outputs) == 0:
+        error = {
+            "type": "prompt_no_outputs",
+            "message": "Prompt has no outputs",
+            "details": "",
+            "extra_info": {}
+        }
+        return (False, error, [], [])
+
+    good_outputs = set()
+    errors = []
+    node_errors = {}
+    validated = {}
+    for o in outputs:
+        valid = False
+        reasons = []
+        try:
+            m = validate_inputs(prompt, o, validated)
+            valid = m[0]
+            reasons = m[1]
+        except Exception as ex:
+            typ, _, tb = sys.exc_info()
+            valid = False
+            exception_type = full_type_name(typ)
+            reasons = [{
+                "type": "exception_during_validation",
+                "message": "Exception when validating node",
+                "details": str(ex),
+                "extra_info": {
+                    "exception_type": exception_type,
+                    "traceback": traceback.format_tb(tb)
+                }
+            }]
+            validated[o] = (False, reasons, o)
+
+        if valid is True:
+            good_outputs.add(o)
+        else:
+            logging.error(f"Failed to validate prompt for output {o}:")
+            if len(reasons) > 0:
+                logging.error("* (prompt):")
+                for reason in reasons:
+                    logging.error(f"  - {reason['message']}: {reason['details']}")
+            errors += [(o, reasons)]
+            for node_id, result in validated.items():
+                valid = result[0]
+                reasons = result[1]
+                # If a node upstream has errors, the nodes downstream will also
+                # be reported as invalid, but there will be no errors attached.
+                # So don't return those nodes as having errors in the response.
+                if valid is not True and len(reasons) > 0:
+                    if node_id not in node_errors:
+                        class_type = prompt[node_id]['class_type']
+                        node_errors[node_id] = {
+                            "errors": reasons,
+                            "dependent_outputs": [],
+                            "class_type": class_type
+                        }
+                        logging.error(f"* {class_type} {node_id}:")
+                        for reason in reasons:
+                            logging.error(f"  - {reason['message']}: {reason['details']}")
+                    node_errors[node_id]["dependent_outputs"].append(o)
+            logging.error("Output will be ignored")
+
+    if len(good_outputs) == 0:
+        errors_list = []
+        for o, errors in errors:
+            for error in errors:
+                errors_list.append(f"{error['message']}: {error['details']}")
+        errors_list = "\n".join(errors_list)
+
+        error = {
+            "type": "prompt_outputs_failed_validation",
+            "message": "Prompt outputs failed validation",
+            "details": errors_list,
+            "extra_info": {}
+        }
+
+        return (False, error, list(good_outputs), node_errors)
+
+    return (True, None, list(good_outputs), node_errors)
+
+MAXIMUM_HISTORY_SIZE = 10000
+
+class PromptQueue:
+    def __init__(self, server):
+        self.server = server
+        self.mutex = threading.RLock()
+        self.not_empty = threading.Condition(self.mutex)
+        self.task_counter = 0
+        self.queue = []
+        self.currently_running = {}
+        self.history = {}
+        self.flags = {}
+        server.prompt_queue = self
+
+    def put(self, item):
+        with self.mutex:
+            heapq.heappush(self.queue, item)
+            self.server.queue_updated()
+            self.not_empty.notify()
+
+    def get(self, timeout=None):
+        with self.not_empty:
+            while len(self.queue) == 0:
+                self.not_empty.wait(timeout=timeout)
+                if timeout is not None and len(self.queue) == 0:
+                    return None
+            item = heapq.heappop(self.queue)
+            i = self.task_counter
+            self.currently_running[i] = copy.deepcopy(item)
+            self.task_counter += 1
+            self.server.queue_updated()
+            return (item, i)
+
+    class ExecutionStatus(NamedTuple):
+        status_str: Literal['success', 'error']
+        completed: bool
+        messages: List[str]
+
+    def task_done(self, item_id, history_result,
+                  status: Optional['PromptQueue.ExecutionStatus']):
+        with self.mutex:
+            prompt = self.currently_running.pop(item_id)
+            if len(self.history) > MAXIMUM_HISTORY_SIZE:
+                self.history.pop(next(iter(self.history)))
+
+            status_dict: Optional[dict] = None
+            if status is not None:
+                status_dict = copy.deepcopy(status._asdict())
+
+            self.history[prompt[1]] = {
+                "prompt": prompt,
+                "outputs": {},
+                'status': status_dict,
+            }
+            self.history[prompt[1]].update(history_result)
+            self.server.queue_updated()
+
+    def get_current_queue(self):
+        with self.mutex:
+            out = []
+            for x in self.currently_running.values():
+                out += [x]
+            return (out, copy.deepcopy(self.queue))
+
+    def get_tasks_remaining(self):
+        with self.mutex:
+            return len(self.queue) + len(self.currently_running)
+
+    def wipe_queue(self):
+        with self.mutex:
+            self.queue = []
+            self.server.queue_updated()
+
+    def delete_queue_item(self, function):
+        with self.mutex:
+            for x in range(len(self.queue)):
+                if function(self.queue[x]):
+                    if len(self.queue) == 1:
+                        self.wipe_queue()
+                    else:
+                        self.queue.pop(x)
+                        heapq.heapify(self.queue)
+                    self.server.queue_updated()
+                    return True
+        return False
+
+    def get_history(self, prompt_id=None, max_items=None, offset=-1):
+        with self.mutex:
+            if prompt_id is None:
+                out = {}
+                i = 0
+                if offset < 0 and max_items is not None:
+                    offset = len(self.history) - max_items
+                for k in self.history:
+                    if i >= offset:
+                        out[k] = self.history[k]
+                        if max_items is not None and len(out) >= max_items:
+                            break
+                    i += 1
+                return out
+            elif prompt_id in self.history:
+                return {prompt_id: copy.deepcopy(self.history[prompt_id])}
+            else:
+                return {}
+
+    def wipe_history(self):
+        with self.mutex:
+            self.history = {}
+
+    def delete_history_item(self, id_to_delete):
+        with self.mutex:
+            self.history.pop(id_to_delete, None)
+
+    def set_flag(self, name, data):
+        with self.mutex:
+            self.flags[name] = data
+            self.not_empty.notify()
+
+    def get_flags(self, reset=True):
+        with self.mutex:
+            if reset:
+                ret = self.flags
+                self.flags = {}
+                return ret
+            else:
+                return self.flags.copy()
diff --git a/ComfyUI/extra_model_paths.yaml.example b/ComfyUI/extra_model_paths.yaml.example
new file mode 100644
index 0000000000000000000000000000000000000000..846d04dbeb43b00bdb08ccb37680eda41beb343e
--- /dev/null
+++ b/ComfyUI/extra_model_paths.yaml.example
@@ -0,0 +1,42 @@
+#Rename this to extra_model_paths.yaml and ComfyUI will load it
+
+
+#config for a1111 ui
+#all you have to do is change the base_path to where yours is installed
+a111:
+    base_path: path/to/stable-diffusion-webui/
+
+    checkpoints: models/Stable-diffusion
+    configs: models/Stable-diffusion
+    vae: models/VAE
+    loras: |
+         models/Lora
+         models/LyCORIS
+    upscale_models: |
+                  models/ESRGAN
+                  models/RealESRGAN
+                  models/SwinIR
+    embeddings: embeddings
+    hypernetworks: models/hypernetworks
+    controlnet: models/ControlNet
+
+#config for comfyui
+#your base path should be either an existing comfy install or a central folder where you store all of your models, loras, etc.
+
+#comfyui:
+#     base_path: path/to/comfyui/
+#     checkpoints: models/checkpoints/
+#     clip: models/clip/
+#     clip_vision: models/clip_vision/
+#     configs: models/configs/
+#     controlnet: models/controlnet/
+#     embeddings: models/embeddings/
+#     loras: models/loras/
+#     upscale_models: models/upscale_models/
+#     vae: models/vae/
+
+#other_ui:
+#    base_path: path/to/ui
+#    checkpoints: models/checkpoints
+#    gligen: models/gligen
+#    custom_nodes: path/custom_nodes
diff --git a/ComfyUI/fix_torch.py b/ComfyUI/fix_torch.py
new file mode 100644
index 0000000000000000000000000000000000000000..e350f5c7d50232e01882fc13ae403a291ce9ca6d
--- /dev/null
+++ b/ComfyUI/fix_torch.py
@@ -0,0 +1,24 @@
+import importlib.util
+import shutil
+import os
+import ctypes
+import logging
+
+
+torch_spec = importlib.util.find_spec("torch")
+for folder in torch_spec.submodule_search_locations:
+    lib_folder = os.path.join(folder, "lib")
+    test_file = os.path.join(lib_folder, "fbgemm.dll")
+    dest = os.path.join(lib_folder, "libomp140.x86_64.dll")
+    if os.path.exists(dest):
+        break
+
+    with open(test_file, 'rb') as f:
+        contents = f.read()
+        if b"libomp140.x86_64.dll" not in contents:
+            break
+    try:
+        mydll = ctypes.cdll.LoadLibrary(test_file)
+    except FileNotFoundError as e:
+        logging.warning("Detected pytorch version with libomp issue, patching.")
+        shutil.copyfile(os.path.join(lib_folder, "libiomp5md.dll"), dest)
diff --git a/ComfyUI/folder_paths.py b/ComfyUI/folder_paths.py
new file mode 100644
index 0000000000000000000000000000000000000000..74a7d527cfb70debcd209c5e249f75b385c6e343
--- /dev/null
+++ b/ComfyUI/folder_paths.py
@@ -0,0 +1,284 @@
+from __future__ import annotations
+
+import os
+import time
+import logging
+from collections.abc import Collection
+
+supported_pt_extensions: set[str] = {'.ckpt', '.pt', '.bin', '.pth', '.safetensors', '.pkl', '.sft'}
+
+folder_names_and_paths: dict[str, tuple[list[str], set[str]]] = {}
+
+base_path = os.path.dirname(os.path.realpath(__file__))
+models_dir = os.path.join(base_path, "models")
+folder_names_and_paths["checkpoints"] = ([os.path.join(models_dir, "checkpoints")], supported_pt_extensions)
+folder_names_and_paths["configs"] = ([os.path.join(models_dir, "configs")], [".yaml"])
+
+folder_names_and_paths["loras"] = ([os.path.join(models_dir, "loras")], supported_pt_extensions)
+folder_names_and_paths["vae"] = ([os.path.join(models_dir, "vae")], supported_pt_extensions)
+folder_names_and_paths["clip"] = ([os.path.join(models_dir, "clip")], supported_pt_extensions)
+folder_names_and_paths["diffusion_models"] = ([os.path.join(models_dir, "unet"), os.path.join(models_dir, "diffusion_models")], supported_pt_extensions)
+folder_names_and_paths["clip_vision"] = ([os.path.join(models_dir, "clip_vision")], supported_pt_extensions)
+folder_names_and_paths["style_models"] = ([os.path.join(models_dir, "style_models")], supported_pt_extensions)
+folder_names_and_paths["embeddings"] = ([os.path.join(models_dir, "embeddings")], supported_pt_extensions)
+folder_names_and_paths["diffusers"] = ([os.path.join(models_dir, "diffusers")], ["folder"])
+folder_names_and_paths["vae_approx"] = ([os.path.join(models_dir, "vae_approx")], supported_pt_extensions)
+
+folder_names_and_paths["controlnet"] = ([os.path.join(models_dir, "controlnet"), os.path.join(models_dir, "t2i_adapter")], supported_pt_extensions)
+folder_names_and_paths["gligen"] = ([os.path.join(models_dir, "gligen")], supported_pt_extensions)
+
+folder_names_and_paths["upscale_models"] = ([os.path.join(models_dir, "upscale_models")], supported_pt_extensions)
+
+folder_names_and_paths["custom_nodes"] = ([os.path.join(base_path, "custom_nodes")], set())
+
+folder_names_and_paths["hypernetworks"] = ([os.path.join(models_dir, "hypernetworks")], supported_pt_extensions)
+
+folder_names_and_paths["photomaker"] = ([os.path.join(models_dir, "photomaker")], supported_pt_extensions)
+
+folder_names_and_paths["classifiers"] = ([os.path.join(models_dir, "classifiers")], {""})
+
+output_directory = os.path.join(os.path.dirname(os.path.realpath(__file__)), "output")
+temp_directory = os.path.join(os.path.dirname(os.path.realpath(__file__)), "temp")
+input_directory = os.path.join(os.path.dirname(os.path.realpath(__file__)), "input")
+user_directory = os.path.join(os.path.dirname(os.path.realpath(__file__)), "user")
+
+filename_list_cache: dict[str, tuple[list[str], dict[str, float], float]] = {}
+
+def map_legacy(folder_name: str) -> str:
+    legacy = {"unet": "diffusion_models"}
+    return legacy.get(folder_name, folder_name)
+
+if not os.path.exists(input_directory):
+    try:
+        os.makedirs(input_directory)
+    except:
+        logging.error("Failed to create input directory")
+
+def set_output_directory(output_dir: str) -> None:
+    global output_directory
+    output_directory = output_dir
+
+def set_temp_directory(temp_dir: str) -> None:
+    global temp_directory
+    temp_directory = temp_dir
+
+def set_input_directory(input_dir: str) -> None:
+    global input_directory
+    input_directory = input_dir
+
+def get_output_directory() -> str:
+    global output_directory
+    return output_directory
+
+def get_temp_directory() -> str:
+    global temp_directory
+    return temp_directory
+
+def get_input_directory() -> str:
+    global input_directory
+    return input_directory
+
+
+#NOTE: used in http server so don't put folders that should not be accessed remotely
+def get_directory_by_type(type_name: str) -> str | None:
+    if type_name == "output":
+        return get_output_directory()
+    if type_name == "temp":
+        return get_temp_directory()
+    if type_name == "input":
+        return get_input_directory()
+    return None
+
+
+# determine base_dir rely on annotation if name is 'filename.ext [annotation]' format
+# otherwise use default_path as base_dir
+def annotated_filepath(name: str) -> tuple[str, str | None]:
+    if name.endswith("[output]"):
+        base_dir = get_output_directory()
+        name = name[:-9]
+    elif name.endswith("[input]"):
+        base_dir = get_input_directory()
+        name = name[:-8]
+    elif name.endswith("[temp]"):
+        base_dir = get_temp_directory()
+        name = name[:-7]
+    else:
+        return name, None
+
+    return name, base_dir
+
+
+def get_annotated_filepath(name: str, default_dir: str | None=None) -> str:
+    name, base_dir = annotated_filepath(name)
+
+    if base_dir is None:
+        if default_dir is not None:
+            base_dir = default_dir
+        else:
+            base_dir = get_input_directory()  # fallback path
+
+    return os.path.join(base_dir, name)
+
+
+def exists_annotated_filepath(name) -> bool:
+    name, base_dir = annotated_filepath(name)
+
+    if base_dir is None:
+        base_dir = get_input_directory()  # fallback path
+
+    filepath = os.path.join(base_dir, name)
+    return os.path.exists(filepath)
+
+
+def add_model_folder_path(folder_name: str, full_folder_path: str) -> None:
+    global folder_names_and_paths
+    folder_name = map_legacy(folder_name)
+    if folder_name in folder_names_and_paths:
+        folder_names_and_paths[folder_name][0].append(full_folder_path)
+    else:
+        folder_names_and_paths[folder_name] = ([full_folder_path], set())
+
+def get_folder_paths(folder_name: str) -> list[str]:
+    folder_name = map_legacy(folder_name)
+    return folder_names_and_paths[folder_name][0][:]
+
+def recursive_search(directory: str, excluded_dir_names: list[str] | None=None) -> tuple[list[str], dict[str, float]]:
+    if not os.path.isdir(directory):
+        return [], {}
+
+    if excluded_dir_names is None:
+        excluded_dir_names = []
+
+    result = []
+    dirs = {}
+
+    # Attempt to add the initial directory to dirs with error handling
+    try:
+        dirs[directory] = os.path.getmtime(directory)
+    except FileNotFoundError:
+        logging.warning(f"Warning: Unable to access {directory}. Skipping this path.")
+
+    logging.debug("recursive file list on directory {}".format(directory))
+    dirpath: str
+    subdirs: list[str]
+    filenames: list[str]
+
+    for dirpath, subdirs, filenames in os.walk(directory, followlinks=True, topdown=True):
+        subdirs[:] = [d for d in subdirs if d not in excluded_dir_names]
+        for file_name in filenames:
+            relative_path = os.path.relpath(os.path.join(dirpath, file_name), directory)
+            result.append(relative_path)
+
+        for d in subdirs:
+            path: str = os.path.join(dirpath, d)
+            try:
+                dirs[path] = os.path.getmtime(path)
+            except FileNotFoundError:
+                logging.warning(f"Warning: Unable to access {path}. Skipping this path.")
+                continue
+    logging.debug("found {} files".format(len(result)))
+    return result, dirs
+
+def filter_files_extensions(files: Collection[str], extensions: Collection[str]) -> list[str]:
+    return sorted(list(filter(lambda a: os.path.splitext(a)[-1].lower() in extensions or len(extensions) == 0, files)))
+
+
+
+def get_full_path(folder_name: str, filename: str) -> str | None:
+    global folder_names_and_paths
+    folder_name = map_legacy(folder_name)
+    if folder_name not in folder_names_and_paths:
+        return None
+    folders = folder_names_and_paths[folder_name]
+    filename = os.path.relpath(os.path.join("/", filename), "/")
+    for x in folders[0]:
+        full_path = os.path.join(x, filename)
+        if os.path.isfile(full_path):
+            return full_path
+        elif os.path.islink(full_path):
+            logging.warning("WARNING path {} exists but doesn't link anywhere, skipping.".format(full_path))
+
+    return None
+
+def get_filename_list_(folder_name: str) -> tuple[list[str], dict[str, float], float]:
+    folder_name = map_legacy(folder_name)
+    global folder_names_and_paths
+    output_list = set()
+    folders = folder_names_and_paths[folder_name]
+    output_folders = {}
+    for x in folders[0]:
+        files, folders_all = recursive_search(x, excluded_dir_names=[".git"])
+        output_list.update(filter_files_extensions(files, folders[1]))
+        output_folders = {**output_folders, **folders_all}
+
+    return sorted(list(output_list)), output_folders, time.perf_counter()
+
+def cached_filename_list_(folder_name: str) -> tuple[list[str], dict[str, float], float] | None:
+    global filename_list_cache
+    global folder_names_and_paths
+    folder_name = map_legacy(folder_name)
+    if folder_name not in filename_list_cache:
+        return None
+    out = filename_list_cache[folder_name]
+
+    for x in out[1]:
+        time_modified = out[1][x]
+        folder = x
+        if os.path.getmtime(folder) != time_modified:
+            return None
+
+    folders = folder_names_and_paths[folder_name]
+    for x in folders[0]:
+        if os.path.isdir(x):
+            if x not in out[1]:
+                return None
+
+    return out
+
+def get_filename_list(folder_name: str) -> list[str]:
+    folder_name = map_legacy(folder_name)
+    out = cached_filename_list_(folder_name)
+    if out is None:
+        out = get_filename_list_(folder_name)
+        global filename_list_cache
+        filename_list_cache[folder_name] = out
+    return list(out[0])
+
+def get_save_image_path(filename_prefix: str, output_dir: str, image_width=0, image_height=0) -> tuple[str, str, int, str, str]:
+    def map_filename(filename: str) -> tuple[int, str]:
+        prefix_len = len(os.path.basename(filename_prefix))
+        prefix = filename[:prefix_len + 1]
+        try:
+            digits = int(filename[prefix_len + 1:].split('_')[0])
+        except:
+            digits = 0
+        return digits, prefix
+
+    def compute_vars(input: str, image_width: int, image_height: int) -> str:
+        input = input.replace("%width%", str(image_width))
+        input = input.replace("%height%", str(image_height))
+        return input
+
+    filename_prefix = compute_vars(filename_prefix, image_width, image_height)
+
+    subfolder = os.path.dirname(os.path.normpath(filename_prefix))
+    filename = os.path.basename(os.path.normpath(filename_prefix))
+
+    full_output_folder = os.path.join(output_dir, subfolder)
+
+    if os.path.commonpath((output_dir, os.path.abspath(full_output_folder))) != output_dir:
+        err = "**** ERROR: Saving image outside the output folder is not allowed." + \
+              "\n full_output_folder: " + os.path.abspath(full_output_folder) + \
+              "\n         output_dir: " + output_dir + \
+              "\n         commonpath: " + os.path.commonpath((output_dir, os.path.abspath(full_output_folder)))
+        logging.error(err)
+        raise Exception(err)
+
+    try:
+        counter = max(filter(lambda a: os.path.normcase(a[1][:-1]) == os.path.normcase(filename) and a[1][-1] == "_", map(map_filename, os.listdir(full_output_folder))))[0] + 1
+    except ValueError:
+        counter = 1
+    except FileNotFoundError:
+        os.makedirs(full_output_folder, exist_ok=True)
+        counter = 1
+    return full_output_folder, filename, counter, subfolder, filename_prefix
diff --git a/ComfyUI/input/.ipynb_checkpoints/file-checkpoint.jpeg b/ComfyUI/input/.ipynb_checkpoints/file-checkpoint.jpeg
new file mode 100644
index 0000000000000000000000000000000000000000..664556748cd676a0a638d17df770f71c0faf9a37
Binary files /dev/null and b/ComfyUI/input/.ipynb_checkpoints/file-checkpoint.jpeg differ
diff --git a/ComfyUI/input/5ea55b65-8b30-4237-b111-044cb598e522.mp4 b/ComfyUI/input/5ea55b65-8b30-4237-b111-044cb598e522.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..aaab60b676697ffe97efc41911e2fe479c3ecbff
--- /dev/null
+++ b/ComfyUI/input/5ea55b65-8b30-4237-b111-044cb598e522.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:10a5e3f489abe10c7b3a7a77746935e5a9fba6e2be8cd117955aad0c0cea4ca1
+size 13039261
diff --git a/ComfyUI/input/IMG_20240410_151931_Bokeh~2.jpg b/ComfyUI/input/IMG_20240410_151931_Bokeh~2.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..125bf263094e27536596f102de2b65ac11b0dfca
Binary files /dev/null and b/ComfyUI/input/IMG_20240410_151931_Bokeh~2.jpg differ
diff --git a/ComfyUI/input/file.jpeg b/ComfyUI/input/file.jpeg
new file mode 100644
index 0000000000000000000000000000000000000000..664556748cd676a0a638d17df770f71c0faf9a37
Binary files /dev/null and b/ComfyUI/input/file.jpeg differ
diff --git a/ComfyUI/latent_preview.py b/ComfyUI/latent_preview.py
new file mode 100644
index 0000000000000000000000000000000000000000..ae6c106e44afd92ea482d9a449ebbd55add7f4fa
--- /dev/null
+++ b/ComfyUI/latent_preview.py
@@ -0,0 +1,94 @@
+import torch
+from PIL import Image
+import struct
+import numpy as np
+from comfy.cli_args import args, LatentPreviewMethod
+from comfy.taesd.taesd import TAESD
+import comfy.model_management
+import folder_paths
+import comfy.utils
+import logging
+
+MAX_PREVIEW_RESOLUTION = 512
+
+def preview_to_image(latent_image):
+        latents_ubyte = (((latent_image + 1.0) / 2.0).clamp(0, 1)  # change scale from -1..1 to 0..1
+                            .mul(0xFF)  # to 0..255
+                            ).to(device="cpu", dtype=torch.uint8, non_blocking=comfy.model_management.device_supports_non_blocking(latent_image.device))
+
+        return Image.fromarray(latents_ubyte.numpy())
+
+class LatentPreviewer:
+    def decode_latent_to_preview(self, x0):
+        pass
+
+    def decode_latent_to_preview_image(self, preview_format, x0):
+        preview_image = self.decode_latent_to_preview(x0)
+        return ("JPEG", preview_image, MAX_PREVIEW_RESOLUTION)
+
+class TAESDPreviewerImpl(LatentPreviewer):
+    def __init__(self, taesd):
+        self.taesd = taesd
+
+    def decode_latent_to_preview(self, x0):
+        x_sample = self.taesd.decode(x0[:1])[0].movedim(0, 2)
+        return preview_to_image(x_sample)
+
+
+class Latent2RGBPreviewer(LatentPreviewer):
+    def __init__(self, latent_rgb_factors):
+        self.latent_rgb_factors = torch.tensor(latent_rgb_factors, device="cpu")
+
+    def decode_latent_to_preview(self, x0):
+        self.latent_rgb_factors = self.latent_rgb_factors.to(dtype=x0.dtype, device=x0.device)
+        latent_image = x0[0].permute(1, 2, 0) @ self.latent_rgb_factors
+        return preview_to_image(latent_image)
+
+
+def get_previewer(device, latent_format):
+    previewer = None
+    method = args.preview_method
+    if method != LatentPreviewMethod.NoPreviews:
+        # TODO previewer methods
+        taesd_decoder_path = None
+        if latent_format.taesd_decoder_name is not None:
+            taesd_decoder_path = next(
+                (fn for fn in folder_paths.get_filename_list("vae_approx")
+                    if fn.startswith(latent_format.taesd_decoder_name)),
+                ""
+            )
+            taesd_decoder_path = folder_paths.get_full_path("vae_approx", taesd_decoder_path)
+
+        if method == LatentPreviewMethod.Auto:
+            method = LatentPreviewMethod.Latent2RGB
+
+        if method == LatentPreviewMethod.TAESD:
+            if taesd_decoder_path:
+                taesd = TAESD(None, taesd_decoder_path, latent_channels=latent_format.latent_channels).to(device)
+                previewer = TAESDPreviewerImpl(taesd)
+            else:
+                logging.warning("Warning: TAESD previews enabled, but could not find models/vae_approx/{}".format(latent_format.taesd_decoder_name))
+
+        if previewer is None:
+            if latent_format.latent_rgb_factors is not None:
+                previewer = Latent2RGBPreviewer(latent_format.latent_rgb_factors)
+    return previewer
+
+def prepare_callback(model, steps, x0_output_dict=None):
+    preview_format = "JPEG"
+    if preview_format not in ["JPEG", "PNG"]:
+        preview_format = "JPEG"
+
+    previewer = get_previewer(model.load_device, model.model.latent_format)
+
+    pbar = comfy.utils.ProgressBar(steps)
+    def callback(step, x0, x, total_steps):
+        if x0_output_dict is not None:
+            x0_output_dict["x0"] = x0
+
+        preview_bytes = None
+        if previewer:
+            preview_bytes = previewer.decode_latent_to_preview_image(preview_format, x0)
+        pbar.update_absolute(step + 1, total_steps, preview_bytes)
+    return callback
+
diff --git a/ComfyUI/main.py b/ComfyUI/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..3db28e1fd6630e60fbcfc90cc4d68da781bbe9b0
--- /dev/null
+++ b/ComfyUI/main.py
@@ -0,0 +1,274 @@
+import comfy.options
+comfy.options.enable_args_parsing()
+
+import os
+import importlib.util
+import folder_paths
+import time
+from comfy.cli_args import args
+from app.logger import setup_logger
+
+
+setup_logger(verbose=args.verbose)
+
+
+def execute_prestartup_script():
+    def execute_script(script_path):
+        module_name = os.path.splitext(script_path)[0]
+        try:
+            spec = importlib.util.spec_from_file_location(module_name, script_path)
+            module = importlib.util.module_from_spec(spec)
+            spec.loader.exec_module(module)
+            return True
+        except Exception as e:
+            print(f"Failed to execute startup-script: {script_path} / {e}")
+        return False
+
+    if args.disable_all_custom_nodes:
+        return
+
+    node_paths = folder_paths.get_folder_paths("custom_nodes")
+    for custom_node_path in node_paths:
+        possible_modules = os.listdir(custom_node_path)
+        node_prestartup_times = []
+
+        for possible_module in possible_modules:
+            module_path = os.path.join(custom_node_path, possible_module)
+            if os.path.isfile(module_path) or module_path.endswith(".disabled") or module_path == "__pycache__":
+                continue
+
+            script_path = os.path.join(module_path, "prestartup_script.py")
+            if os.path.exists(script_path):
+                time_before = time.perf_counter()
+                success = execute_script(script_path)
+                node_prestartup_times.append((time.perf_counter() - time_before, module_path, success))
+    if len(node_prestartup_times) > 0:
+        print("\nPrestartup times for custom nodes:")
+        for n in sorted(node_prestartup_times):
+            if n[2]:
+                import_message = ""
+            else:
+                import_message = " (PRESTARTUP FAILED)"
+            print("{:6.1f} seconds{}:".format(n[0], import_message), n[1])
+        print()
+
+execute_prestartup_script()
+
+
+# Main code
+import asyncio
+import itertools
+import shutil
+import threading
+import gc
+
+import logging
+
+if os.name == "nt":
+    logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
+
+if __name__ == "__main__":
+    if args.cuda_device is not None:
+        os.environ['CUDA_VISIBLE_DEVICES'] = str(args.cuda_device)
+        logging.info("Set cuda device to: {}".format(args.cuda_device))
+
+    if args.deterministic:
+        if 'CUBLAS_WORKSPACE_CONFIG' not in os.environ:
+            os.environ['CUBLAS_WORKSPACE_CONFIG'] = ":4096:8"
+
+    import cuda_malloc
+
+if args.windows_standalone_build:
+    try:
+        import fix_torch
+    except:
+        pass
+
+import comfy.utils
+import yaml
+
+import execution
+import server
+from server import BinaryEventTypes
+import nodes
+import comfy.model_management
+
+def cuda_malloc_warning():
+    device = comfy.model_management.get_torch_device()
+    device_name = comfy.model_management.get_torch_device_name(device)
+    cuda_malloc_warning = False
+    if "cudaMallocAsync" in device_name:
+        for b in cuda_malloc.blacklist:
+            if b in device_name:
+                cuda_malloc_warning = True
+        if cuda_malloc_warning:
+            logging.warning("\nWARNING: this card most likely does not support cuda-malloc, if you get \"CUDA error\" please run ComfyUI with: --disable-cuda-malloc\n")
+
+def prompt_worker(q, server):
+    e = execution.PromptExecutor(server, lru_size=args.cache_lru)
+    last_gc_collect = 0
+    need_gc = False
+    gc_collect_interval = 10.0
+
+    while True:
+        timeout = 1000.0
+        if need_gc:
+            timeout = max(gc_collect_interval - (current_time - last_gc_collect), 0.0)
+
+        queue_item = q.get(timeout=timeout)
+        if queue_item is not None:
+            item, item_id = queue_item
+            execution_start_time = time.perf_counter()
+            prompt_id = item[1]
+            server.last_prompt_id = prompt_id
+
+            e.execute(item[2], prompt_id, item[3], item[4])
+            need_gc = True
+            q.task_done(item_id,
+                        e.history_result,
+                        status=execution.PromptQueue.ExecutionStatus(
+                            status_str='success' if e.success else 'error',
+                            completed=e.success,
+                            messages=e.status_messages))
+            if server.client_id is not None:
+                server.send_sync("executing", { "node": None, "prompt_id": prompt_id }, server.client_id)
+
+            current_time = time.perf_counter()
+            execution_time = current_time - execution_start_time
+            logging.info("Prompt executed in {:.2f} seconds".format(execution_time))
+
+        flags = q.get_flags()
+        free_memory = flags.get("free_memory", False)
+
+        if flags.get("unload_models", free_memory):
+            comfy.model_management.unload_all_models()
+            need_gc = True
+            last_gc_collect = 0
+
+        if free_memory:
+            e.reset()
+            need_gc = True
+            last_gc_collect = 0
+
+        if need_gc:
+            current_time = time.perf_counter()
+            if (current_time - last_gc_collect) > gc_collect_interval:
+                comfy.model_management.cleanup_models()
+                gc.collect()
+                comfy.model_management.soft_empty_cache()
+                last_gc_collect = current_time
+                need_gc = False
+
+async def run(server, address='', port=8188, verbose=True, call_on_start=None):
+    await asyncio.gather(server.start(address, port, verbose, call_on_start), server.publish_loop())
+
+
+def hijack_progress(server):
+    def hook(value, total, preview_image):
+        comfy.model_management.throw_exception_if_processing_interrupted()
+        progress = {"value": value, "max": total, "prompt_id": server.last_prompt_id, "node": server.last_node_id}
+
+        server.send_sync("progress", progress, server.client_id)
+        if preview_image is not None:
+            server.send_sync(BinaryEventTypes.UNENCODED_PREVIEW_IMAGE, preview_image, server.client_id)
+    comfy.utils.set_progress_bar_global_hook(hook)
+
+
+def cleanup_temp():
+    temp_dir = folder_paths.get_temp_directory()
+    if os.path.exists(temp_dir):
+        shutil.rmtree(temp_dir, ignore_errors=True)
+
+
+def load_extra_path_config(yaml_path):
+    with open(yaml_path, 'r') as stream:
+        config = yaml.safe_load(stream)
+    for c in config:
+        conf = config[c]
+        if conf is None:
+            continue
+        base_path = None
+        if "base_path" in conf:
+            base_path = conf.pop("base_path")
+        for x in conf:
+            for y in conf[x].split("\n"):
+                if len(y) == 0:
+                    continue
+                full_path = y
+                if base_path is not None:
+                    full_path = os.path.join(base_path, full_path)
+                logging.info("Adding extra search path {} {}".format(x, full_path))
+                folder_paths.add_model_folder_path(x, full_path)
+
+
+if __name__ == "__main__":
+    if args.temp_directory:
+        temp_dir = os.path.join(os.path.abspath(args.temp_directory), "temp")
+        logging.info(f"Setting temp directory to: {temp_dir}")
+        folder_paths.set_temp_directory(temp_dir)
+    cleanup_temp()
+
+    if args.windows_standalone_build:
+        try:
+            import new_updater
+            new_updater.update_windows_updater()
+        except:
+            pass
+
+    loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(loop)
+    server = server.PromptServer(loop)
+    q = execution.PromptQueue(server)
+
+    extra_model_paths_config_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "extra_model_paths.yaml")
+    if os.path.isfile(extra_model_paths_config_path):
+        load_extra_path_config(extra_model_paths_config_path)
+
+    if args.extra_model_paths_config:
+        for config_path in itertools.chain(*args.extra_model_paths_config):
+            load_extra_path_config(config_path)
+
+    nodes.init_extra_nodes(init_custom_nodes=not args.disable_all_custom_nodes)
+
+    cuda_malloc_warning()
+
+    server.add_routes()
+    hijack_progress(server)
+
+    threading.Thread(target=prompt_worker, daemon=True, args=(q, server,)).start()
+
+    if args.output_directory:
+        output_dir = os.path.abspath(args.output_directory)
+        logging.info(f"Setting output directory to: {output_dir}")
+        folder_paths.set_output_directory(output_dir)
+
+    #These are the default folders that checkpoints, clip and vae models will be saved to when using CheckpointSave, etc.. nodes
+    folder_paths.add_model_folder_path("checkpoints", os.path.join(folder_paths.get_output_directory(), "checkpoints"))
+    folder_paths.add_model_folder_path("clip", os.path.join(folder_paths.get_output_directory(), "clip"))
+    folder_paths.add_model_folder_path("vae", os.path.join(folder_paths.get_output_directory(), "vae"))
+    folder_paths.add_model_folder_path("diffusion_models", os.path.join(folder_paths.get_output_directory(), "diffusion_models"))
+
+    if args.input_directory:
+        input_dir = os.path.abspath(args.input_directory)
+        logging.info(f"Setting input directory to: {input_dir}")
+        folder_paths.set_input_directory(input_dir)
+
+    if args.quick_test_for_ci:
+        exit(0)
+
+    call_on_start = None
+    if args.auto_launch:
+        def startup_server(scheme, address, port):
+            import webbrowser
+            if os.name == 'nt' and address == '0.0.0.0':
+                address = '127.0.0.1'
+            webbrowser.open(f"{scheme}://{address}:{port}")
+        call_on_start = startup_server
+
+    try:
+        loop.run_until_complete(server.setup())
+        loop.run_until_complete(run(server, address=args.listen, port=args.port, verbose=not args.dont_print_server, call_on_start=call_on_start))
+    except KeyboardInterrupt:
+        logging.info("\nStopped server")
+
+    cleanup_temp()
diff --git a/ComfyUI/model_filemanager/__init__.py b/ComfyUI/model_filemanager/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e318351c0512fe402fd0187e5cdd789f5fc2bacc
--- /dev/null
+++ b/ComfyUI/model_filemanager/__init__.py
@@ -0,0 +1,2 @@
+# model_manager/__init__.py
+from .download_models import download_model, DownloadModelStatus, DownloadStatusType, create_model_path, check_file_exists, track_download_progress, validate_model_subdirectory, validate_filename
diff --git a/ComfyUI/model_filemanager/__pycache__/__init__.cpython-310.pyc b/ComfyUI/model_filemanager/__pycache__/__init__.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..54620402de014c6f96c2e7fba2ee169e050e4d4d
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diff --git a/ComfyUI/model_filemanager/__pycache__/download_models.cpython-310.pyc b/ComfyUI/model_filemanager/__pycache__/download_models.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..b45bef03c1910ccbf76cfaf825f2e53ed8422c71
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diff --git a/ComfyUI/model_filemanager/__pycache__/download_models.cpython-312.pyc b/ComfyUI/model_filemanager/__pycache__/download_models.cpython-312.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..aea6d9d04182d3daeed344b12318aaf78042c95b
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diff --git a/ComfyUI/model_filemanager/download_models.py b/ComfyUI/model_filemanager/download_models.py
new file mode 100644
index 0000000000000000000000000000000000000000..712d59328f631df2d22c3d1f94c93a1850f42b5c
--- /dev/null
+++ b/ComfyUI/model_filemanager/download_models.py
@@ -0,0 +1,240 @@
+from __future__ import annotations
+import aiohttp
+import os
+import traceback
+import logging
+from folder_paths import models_dir
+import re
+from typing import Callable, Any, Optional, Awaitable, Dict
+from enum import Enum
+import time
+from dataclasses import dataclass
+
+
+class DownloadStatusType(Enum):
+    PENDING = "pending"
+    IN_PROGRESS = "in_progress"
+    COMPLETED = "completed"
+    ERROR = "error"
+
+@dataclass
+class DownloadModelStatus():
+    status: str
+    progress_percentage: float
+    message: str
+    already_existed: bool = False
+
+    def __init__(self, status: DownloadStatusType, progress_percentage: float, message: str, already_existed: bool):
+        self.status = status.value  # Store the string value of the Enum
+        self.progress_percentage = progress_percentage
+        self.message = message
+        self.already_existed = already_existed
+    
+    def to_dict(self) -> Dict[str, Any]:
+        return {
+            "status": self.status,
+            "progress_percentage": self.progress_percentage,
+            "message": self.message,
+            "already_existed": self.already_existed
+        }
+
+async def download_model(model_download_request: Callable[[str], Awaitable[aiohttp.ClientResponse]],
+                         model_name: str,  
+                         model_url: str, 
+                         model_sub_directory: str,
+                         progress_callback: Callable[[str, DownloadModelStatus], Awaitable[Any]],
+                         progress_interval: float = 1.0) -> DownloadModelStatus:
+    """
+    Download a model file from a given URL into the models directory.
+
+    Args:
+        model_download_request (Callable[[str], Awaitable[aiohttp.ClientResponse]]): 
+            A function that makes an HTTP request. This makes it easier to mock in unit tests.
+        model_name (str): 
+            The name of the model file to be downloaded. This will be the filename on disk.
+        model_url (str): 
+            The URL from which to download the model.
+        model_sub_directory (str): 
+            The subdirectory within the main models directory where the model 
+            should be saved (e.g., 'checkpoints', 'loras', etc.).
+        progress_callback (Callable[[str, DownloadModelStatus], Awaitable[Any]]): 
+            An asynchronous function to call with progress updates.
+
+    Returns:
+        DownloadModelStatus: The result of the download operation.
+    """
+    if not validate_model_subdirectory(model_sub_directory):
+        return DownloadModelStatus(
+            DownloadStatusType.ERROR, 
+            0,
+            "Invalid model subdirectory", 
+            False
+        )
+
+    if not validate_filename(model_name):
+        return DownloadModelStatus(
+            DownloadStatusType.ERROR, 
+            0,
+            "Invalid model name", 
+            False
+        )
+
+    file_path, relative_path = create_model_path(model_name, model_sub_directory, models_dir)
+    existing_file = await check_file_exists(file_path, model_name, progress_callback, relative_path)
+    if existing_file:
+        return existing_file
+
+    try:
+        status = DownloadModelStatus(DownloadStatusType.PENDING, 0, f"Starting download of {model_name}", False)
+        await progress_callback(relative_path, status)
+
+        response = await model_download_request(model_url)
+        if response.status != 200:
+            error_message = f"Failed to download {model_name}. Status code: {response.status}"
+            logging.error(error_message)
+            status = DownloadModelStatus(DownloadStatusType.ERROR, 0, error_message, False)
+            await progress_callback(relative_path, status)
+            return DownloadModelStatus(DownloadStatusType.ERROR, 0, error_message, False)
+
+        return await track_download_progress(response, file_path, model_name, progress_callback, relative_path, progress_interval)
+
+    except Exception as e:
+        logging.error(f"Error in downloading model: {e}")
+        return await handle_download_error(e, model_name, progress_callback, relative_path)
+    
+
+def create_model_path(model_name: str, model_directory: str, models_base_dir: str) -> tuple[str, str]:
+    full_model_dir = os.path.join(models_base_dir, model_directory)
+    os.makedirs(full_model_dir, exist_ok=True)
+    file_path = os.path.join(full_model_dir, model_name)
+
+    # Ensure the resulting path is still within the base directory
+    abs_file_path = os.path.abspath(file_path)
+    abs_base_dir = os.path.abspath(str(models_base_dir))
+    if os.path.commonprefix([abs_file_path, abs_base_dir]) != abs_base_dir:
+        raise Exception(f"Invalid model directory: {model_directory}/{model_name}")
+
+
+    relative_path = '/'.join([model_directory, model_name])
+    return file_path, relative_path
+
+async def check_file_exists(file_path: str, 
+                            model_name: str, 
+                            progress_callback: Callable[[str, DownloadModelStatus], Awaitable[Any]], 
+                            relative_path: str) -> Optional[DownloadModelStatus]:
+    if os.path.exists(file_path):
+        status = DownloadModelStatus(DownloadStatusType.COMPLETED, 100, f"{model_name} already exists", True)
+        await progress_callback(relative_path, status)
+        return status
+    return None
+
+
+async def track_download_progress(response: aiohttp.ClientResponse, 
+                                  file_path: str, 
+                                  model_name: str, 
+                                  progress_callback: Callable[[str, DownloadModelStatus], Awaitable[Any]], 
+                                  relative_path: str, 
+                                  interval: float = 1.0) -> DownloadModelStatus:
+    try:
+        total_size = int(response.headers.get('Content-Length', 0))
+        downloaded = 0
+        last_update_time = time.time()
+
+        async def update_progress():
+            nonlocal last_update_time
+            progress = (downloaded / total_size) * 100 if total_size > 0 else 0
+            status = DownloadModelStatus(DownloadStatusType.IN_PROGRESS, progress, f"Downloading {model_name}", False)
+            await progress_callback(relative_path, status)
+            last_update_time = time.time()
+
+        with open(file_path, 'wb') as f:
+            chunk_iterator = response.content.iter_chunked(8192)
+            while True:
+                try:
+                    chunk = await chunk_iterator.__anext__()
+                except StopAsyncIteration:
+                    break
+                f.write(chunk)
+                downloaded += len(chunk)
+                
+                if time.time() - last_update_time >= interval:
+                    await update_progress()
+
+        await update_progress()
+        
+        logging.info(f"Successfully downloaded {model_name}. Total downloaded: {downloaded}")
+        status = DownloadModelStatus(DownloadStatusType.COMPLETED, 100, f"Successfully downloaded {model_name}", False)
+        await progress_callback(relative_path, status)
+
+        return status
+    except Exception as e:
+        logging.error(f"Error in track_download_progress: {e}")
+        logging.error(traceback.format_exc())
+        return await handle_download_error(e, model_name, progress_callback, relative_path)
+
+async def handle_download_error(e: Exception, 
+                                model_name: str, 
+                                progress_callback: Callable[[str, DownloadModelStatus], Any], 
+                                relative_path: str) -> DownloadModelStatus:
+    error_message = f"Error downloading {model_name}: {str(e)}"
+    status = DownloadModelStatus(DownloadStatusType.ERROR, 0, error_message, False)
+    await progress_callback(relative_path, status)
+    return status
+
+def validate_model_subdirectory(model_subdirectory: str) -> bool:
+    """
+    Validate that the model subdirectory is safe to install into. 
+    Must not contain relative paths, nested paths or special characters
+    other than underscores and hyphens.
+
+    Args:
+        model_subdirectory (str): The subdirectory for the specific model type.
+
+    Returns:
+        bool: True if the subdirectory is safe, False otherwise.
+    """
+    if len(model_subdirectory) > 50:
+        return False
+
+    if '..' in model_subdirectory or '/' in model_subdirectory:
+        return False
+
+    if not re.match(r'^[a-zA-Z0-9_-]+$', model_subdirectory):
+        return False
+
+    return True
+
+def validate_filename(filename: str)-> bool:
+    """
+    Validate a filename to ensure it's safe and doesn't contain any path traversal attempts.
+    
+    Args:
+    filename (str): The filename to validate
+
+    Returns:
+    bool: True if the filename is valid, False otherwise
+    """
+    if not filename.lower().endswith(('.sft', '.safetensors')):
+        return False
+
+    # Check if the filename is empty, None, or just whitespace
+    if not filename or not filename.strip():
+        return False
+
+    # Check for any directory traversal attempts or invalid characters
+    if any(char in filename for char in ['..', '/', '\\', '\n', '\r', '\t', '\0']):
+        return False
+
+    # Check if the filename starts with a dot (hidden file)
+    if filename.startswith('.'):
+        return False
+
+    # Use a whitelist of allowed characters
+    if not re.match(r'^[a-zA-Z0-9_\-. ]+$', filename):
+        return False
+
+    # Ensure the filename isn't too long
+    if len(filename) > 255:
+        return False
+
+    return True
diff --git a/ComfyUI/models/checkpoints/put_checkpoints_here b/ComfyUI/models/checkpoints/put_checkpoints_here
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/models/clip/put_clip_or_text_encoder_models_here b/ComfyUI/models/clip/put_clip_or_text_encoder_models_here
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/models/clip_vision/put_clip_vision_models_here b/ComfyUI/models/clip_vision/put_clip_vision_models_here
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/models/configs/anything_v3.yaml b/ComfyUI/models/configs/anything_v3.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8bcfe584ae73d60e2c7a6f89b3f7befbd487ea34
--- /dev/null
+++ b/ComfyUI/models/configs/anything_v3.yaml
@@ -0,0 +1,73 @@
+model:
+  base_learning_rate: 1.0e-04
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false   # Note: different from the one we trained before
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False
+
+    scheduler_config: # 10000 warmup steps
+      target: ldm.lr_scheduler.LambdaLinearScheduler
+      params:
+        warm_up_steps: [ 10000 ]
+        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
+        f_start: [ 1.e-6 ]
+        f_max: [ 1. ]
+        f_min: [ 1. ]
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_heads: 8
+        use_spatial_transformer: True
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: True
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
+      params:
+        layer: "hidden"
+        layer_idx: -2
diff --git a/ComfyUI/models/configs/v1-inference.yaml b/ComfyUI/models/configs/v1-inference.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d4effe569e897369918625f9d8be5603a0e6a0d6
--- /dev/null
+++ b/ComfyUI/models/configs/v1-inference.yaml
@@ -0,0 +1,70 @@
+model:
+  base_learning_rate: 1.0e-04
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false   # Note: different from the one we trained before
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False
+
+    scheduler_config: # 10000 warmup steps
+      target: ldm.lr_scheduler.LambdaLinearScheduler
+      params:
+        warm_up_steps: [ 10000 ]
+        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
+        f_start: [ 1.e-6 ]
+        f_max: [ 1. ]
+        f_min: [ 1. ]
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_heads: 8
+        use_spatial_transformer: True
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: True
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
diff --git a/ComfyUI/models/configs/v1-inference_clip_skip_2.yaml b/ComfyUI/models/configs/v1-inference_clip_skip_2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8bcfe584ae73d60e2c7a6f89b3f7befbd487ea34
--- /dev/null
+++ b/ComfyUI/models/configs/v1-inference_clip_skip_2.yaml
@@ -0,0 +1,73 @@
+model:
+  base_learning_rate: 1.0e-04
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false   # Note: different from the one we trained before
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False
+
+    scheduler_config: # 10000 warmup steps
+      target: ldm.lr_scheduler.LambdaLinearScheduler
+      params:
+        warm_up_steps: [ 10000 ]
+        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
+        f_start: [ 1.e-6 ]
+        f_max: [ 1. ]
+        f_min: [ 1. ]
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_heads: 8
+        use_spatial_transformer: True
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: True
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
+      params:
+        layer: "hidden"
+        layer_idx: -2
diff --git a/ComfyUI/models/configs/v1-inference_clip_skip_2_fp16.yaml b/ComfyUI/models/configs/v1-inference_clip_skip_2_fp16.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7eca31c7b5e571c2b1348e94ed9d69978ebd2d52
--- /dev/null
+++ b/ComfyUI/models/configs/v1-inference_clip_skip_2_fp16.yaml
@@ -0,0 +1,74 @@
+model:
+  base_learning_rate: 1.0e-04
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false   # Note: different from the one we trained before
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False
+
+    scheduler_config: # 10000 warmup steps
+      target: ldm.lr_scheduler.LambdaLinearScheduler
+      params:
+        warm_up_steps: [ 10000 ]
+        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
+        f_start: [ 1.e-6 ]
+        f_max: [ 1. ]
+        f_min: [ 1. ]
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        use_fp16: True
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_heads: 8
+        use_spatial_transformer: True
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: True
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
+      params:
+        layer: "hidden"
+        layer_idx: -2
diff --git a/ComfyUI/models/configs/v1-inference_fp16.yaml b/ComfyUI/models/configs/v1-inference_fp16.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..147f42b17b835cc839338156f99e8f971df5c1aa
--- /dev/null
+++ b/ComfyUI/models/configs/v1-inference_fp16.yaml
@@ -0,0 +1,71 @@
+model:
+  base_learning_rate: 1.0e-04
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false   # Note: different from the one we trained before
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False
+
+    scheduler_config: # 10000 warmup steps
+      target: ldm.lr_scheduler.LambdaLinearScheduler
+      params:
+        warm_up_steps: [ 10000 ]
+        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
+        f_start: [ 1.e-6 ]
+        f_max: [ 1. ]
+        f_min: [ 1. ]
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        use_fp16: True
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_heads: 8
+        use_spatial_transformer: True
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: True
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
diff --git a/ComfyUI/models/configs/v1-inpainting-inference.yaml b/ComfyUI/models/configs/v1-inpainting-inference.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..45f3f82d461cd8c6109f26ec3b1da75366eda0b0
--- /dev/null
+++ b/ComfyUI/models/configs/v1-inpainting-inference.yaml
@@ -0,0 +1,71 @@
+model:
+  base_learning_rate: 7.5e-05
+  target: ldm.models.diffusion.ddpm.LatentInpaintDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false   # Note: different from the one we trained before
+    conditioning_key: hybrid   # important
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    finetune_keys: null
+
+    scheduler_config: # 10000 warmup steps
+      target: ldm.lr_scheduler.LambdaLinearScheduler
+      params:
+        warm_up_steps: [ 2500 ] # NOTE for resuming. use 10000 if starting from scratch
+        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
+        f_start: [ 1.e-6 ]
+        f_max: [ 1. ]
+        f_min: [ 1. ]
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        image_size: 32 # unused
+        in_channels: 9  # 4 data + 4 downscaled image + 1 mask
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_heads: 8
+        use_spatial_transformer: True
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: True
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
+
diff --git a/ComfyUI/models/configs/v2-inference-v.yaml b/ComfyUI/models/configs/v2-inference-v.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8ec8dfbfefe94ae8522c93017668fea78d580acf
--- /dev/null
+++ b/ComfyUI/models/configs/v2-inference-v.yaml
@@ -0,0 +1,68 @@
+model:
+  base_learning_rate: 1.0e-4
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    parameterization: "v"
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False # we set this to false because this is an inference only config
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        use_checkpoint: True
+        use_fp16: True
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_head_channels: 64 # need to fix for flash-attn
+        use_spatial_transformer: True
+        use_linear_in_transformer: True
+        transformer_depth: 1
+        context_dim: 1024
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          #attn_type: "vanilla-xformers"
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
+      params:
+        freeze: True
+        layer: "penultimate"
diff --git a/ComfyUI/models/configs/v2-inference-v_fp32.yaml b/ComfyUI/models/configs/v2-inference-v_fp32.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d5c9b9cb29ca162ade44a7c922f59e75d7d57813
--- /dev/null
+++ b/ComfyUI/models/configs/v2-inference-v_fp32.yaml
@@ -0,0 +1,68 @@
+model:
+  base_learning_rate: 1.0e-4
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    parameterization: "v"
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False # we set this to false because this is an inference only config
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        use_checkpoint: True
+        use_fp16: False
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_head_channels: 64 # need to fix for flash-attn
+        use_spatial_transformer: True
+        use_linear_in_transformer: True
+        transformer_depth: 1
+        context_dim: 1024
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          #attn_type: "vanilla-xformers"
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
+      params:
+        freeze: True
+        layer: "penultimate"
diff --git a/ComfyUI/models/configs/v2-inference.yaml b/ComfyUI/models/configs/v2-inference.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..152c4f3c2b36c3b246a9cb10eb8166134b0d2e1c
--- /dev/null
+++ b/ComfyUI/models/configs/v2-inference.yaml
@@ -0,0 +1,67 @@
+model:
+  base_learning_rate: 1.0e-4
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False # we set this to false because this is an inference only config
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        use_checkpoint: True
+        use_fp16: True
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_head_channels: 64 # need to fix for flash-attn
+        use_spatial_transformer: True
+        use_linear_in_transformer: True
+        transformer_depth: 1
+        context_dim: 1024
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          #attn_type: "vanilla-xformers"
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
+      params:
+        freeze: True
+        layer: "penultimate"
diff --git a/ComfyUI/models/configs/v2-inference_fp32.yaml b/ComfyUI/models/configs/v2-inference_fp32.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d03231f3f2c2e8ef8fbe0d781e5f3d65409ef3a
--- /dev/null
+++ b/ComfyUI/models/configs/v2-inference_fp32.yaml
@@ -0,0 +1,67 @@
+model:
+  base_learning_rate: 1.0e-4
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False # we set this to false because this is an inference only config
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        use_checkpoint: True
+        use_fp16: False
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_head_channels: 64 # need to fix for flash-attn
+        use_spatial_transformer: True
+        use_linear_in_transformer: True
+        transformer_depth: 1
+        context_dim: 1024
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          #attn_type: "vanilla-xformers"
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
+      params:
+        freeze: True
+        layer: "penultimate"
diff --git a/ComfyUI/models/configs/v2-inpainting-inference.yaml b/ComfyUI/models/configs/v2-inpainting-inference.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..32a9471d71b828c51bcbbabfe34c5f6c8282c803
--- /dev/null
+++ b/ComfyUI/models/configs/v2-inpainting-inference.yaml
@@ -0,0 +1,158 @@
+model:
+  base_learning_rate: 5.0e-05
+  target: ldm.models.diffusion.ddpm.LatentInpaintDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false
+    conditioning_key: hybrid
+    scale_factor: 0.18215
+    monitor: val/loss_simple_ema
+    finetune_keys: null
+    use_ema: False
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        use_checkpoint: True
+        image_size: 32 # unused
+        in_channels: 9
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_head_channels: 64 # need to fix for flash-attn
+        use_spatial_transformer: True
+        use_linear_in_transformer: True
+        transformer_depth: 1
+        context_dim: 1024
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          #attn_type: "vanilla-xformers"
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+            - 1
+            - 2
+            - 4
+            - 4
+          num_res_blocks: 2
+          attn_resolutions: [ ]
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
+      params:
+        freeze: True
+        layer: "penultimate"
+
+
+data:
+  target: ldm.data.laion.WebDataModuleFromConfig
+  params:
+    tar_base: null  # for concat as in LAION-A
+    p_unsafe_threshold: 0.1
+    filter_word_list: "data/filters.yaml"
+    max_pwatermark: 0.45
+    batch_size: 8
+    num_workers: 6
+    multinode: True
+    min_size: 512
+    train:
+      shards:
+        - "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-0/{00000..18699}.tar -"
+        - "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-1/{00000..18699}.tar -"
+        - "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-2/{00000..18699}.tar -"
+        - "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-3/{00000..18699}.tar -"
+        - "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-4/{00000..18699}.tar -"  #{00000-94333}.tar"
+      shuffle: 10000
+      image_key: jpg
+      image_transforms:
+      - target: torchvision.transforms.Resize
+        params:
+          size: 512
+          interpolation: 3
+      - target: torchvision.transforms.RandomCrop
+        params:
+          size: 512
+      postprocess:
+        target: ldm.data.laion.AddMask
+        params:
+          mode: "512train-large"
+          p_drop: 0.25
+    # NOTE use enough shards to avoid empty validation loops in workers
+    validation:
+      shards:
+        - "pipe:aws s3 cp s3://deep-floyd-s3/datasets/laion_cleaned-part5/{93001..94333}.tar - "
+      shuffle: 0
+      image_key: jpg
+      image_transforms:
+      - target: torchvision.transforms.Resize
+        params:
+          size: 512
+          interpolation: 3
+      - target: torchvision.transforms.CenterCrop
+        params:
+          size: 512
+      postprocess:
+        target: ldm.data.laion.AddMask
+        params:
+          mode: "512train-large"
+          p_drop: 0.25
+
+lightning:
+  find_unused_parameters: True
+  modelcheckpoint:
+    params:
+      every_n_train_steps: 5000
+
+  callbacks:
+    metrics_over_trainsteps_checkpoint:
+      params:
+        every_n_train_steps: 10000
+
+    image_logger:
+      target: main.ImageLogger
+      params:
+        enable_autocast: False
+        disabled: False
+        batch_frequency: 1000
+        max_images: 4
+        increase_log_steps: False
+        log_first_step: False
+        log_images_kwargs:
+          use_ema_scope: False
+          inpaint: False
+          plot_progressive_rows: False
+          plot_diffusion_rows: False
+          N: 4
+          unconditional_guidance_scale: 5.0
+          unconditional_guidance_label: [""]
+          ddim_steps: 50  # todo check these out for depth2img,
+          ddim_eta: 0.0   # todo check these out for depth2img,
+
+  trainer:
+    benchmark: True
+    val_check_interval: 5000000
+    num_sanity_val_steps: 0
+    accumulate_grad_batches: 1
diff --git a/ComfyUI/models/controlnet/put_controlnets_and_t2i_here b/ComfyUI/models/controlnet/put_controlnets_and_t2i_here
new file mode 100644
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diff --git a/ComfyUI/models/diffusers/put_diffusers_models_here b/ComfyUI/models/diffusers/put_diffusers_models_here
new file mode 100644
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diff --git a/ComfyUI/models/diffusion_models/put_diffusion_model_files_here b/ComfyUI/models/diffusion_models/put_diffusion_model_files_here
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diff --git a/ComfyUI/models/embeddings/put_embeddings_or_textual_inversion_concepts_here b/ComfyUI/models/embeddings/put_embeddings_or_textual_inversion_concepts_here
new file mode 100644
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diff --git a/ComfyUI/models/gligen/put_gligen_models_here b/ComfyUI/models/gligen/put_gligen_models_here
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diff --git a/ComfyUI/models/hypernetworks/put_hypernetworks_here b/ComfyUI/models/hypernetworks/put_hypernetworks_here
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diff --git a/ComfyUI/models/insightface/buffalo_l/1k3d68.onnx b/ComfyUI/models/insightface/buffalo_l/1k3d68.onnx
new file mode 100644
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--- /dev/null
+++ b/ComfyUI/models/insightface/buffalo_l/1k3d68.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 143607619
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+size 5030888
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+++ b/ComfyUI/models/insightface/buffalo_l/genderage.onnx
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+size 1322532
diff --git a/ComfyUI/models/insightface/buffalo_l/w600k_r50.onnx b/ComfyUI/models/insightface/buffalo_l/w600k_r50.onnx
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diff --git a/ComfyUI/models/liveportrait/.gitattributes b/ComfyUI/models/liveportrait/.gitattributes
new file mode 100644
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+++ b/ComfyUI/models/liveportrait/.gitattributes
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diff --git a/ComfyUI/models/liveportrait/animal/appearance_feature_extractor.safetensors b/ComfyUI/models/liveportrait/animal/appearance_feature_extractor.safetensors
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diff --git a/ComfyUI/models/liveportrait/animal/motion_extractor.safetensors b/ComfyUI/models/liveportrait/animal/motion_extractor.safetensors
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diff --git a/ComfyUI/models/liveportrait/animal/spade_generator.safetensors b/ComfyUI/models/liveportrait/animal/spade_generator.safetensors
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diff --git a/ComfyUI/models/liveportrait/animal/stitching_retargeting_module.safetensors b/ComfyUI/models/liveportrait/animal/stitching_retargeting_module.safetensors
new file mode 100644
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diff --git a/ComfyUI/models/liveportrait/landmark.onnx b/ComfyUI/models/liveportrait/landmark.onnx
new file mode 100644
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diff --git a/ComfyUI/models/liveportrait/landmark_model.pth b/ComfyUI/models/liveportrait/landmark_model.pth
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diff --git a/ComfyUI/models/liveportrait/warping_module.safetensors b/ComfyUI/models/liveportrait/warping_module.safetensors
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diff --git a/ComfyUI/models/loras/put_loras_here b/ComfyUI/models/loras/put_loras_here
new file mode 100644
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diff --git a/ComfyUI/models/photomaker/put_photomaker_models_here b/ComfyUI/models/photomaker/put_photomaker_models_here
new file mode 100644
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diff --git a/ComfyUI/models/style_models/put_t2i_style_model_here b/ComfyUI/models/style_models/put_t2i_style_model_here
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/models/ultralytics/face_yolov8n.pt b/ComfyUI/models/ultralytics/face_yolov8n.pt
new file mode 100644
index 0000000000000000000000000000000000000000..de35d3519c3d63c47f55377942ba2ac0ccb81537
--- /dev/null
+++ b/ComfyUI/models/ultralytics/face_yolov8n.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00f65de68e220f21e15ad0e24efdfbb37dd89e6acbfd4e63452989eb0605bed8
+size 6230075
diff --git a/ComfyUI/models/unet/put_unet_files_here b/ComfyUI/models/unet/put_unet_files_here
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/models/upscale_models/put_esrgan_and_other_upscale_models_here b/ComfyUI/models/upscale_models/put_esrgan_and_other_upscale_models_here
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/models/vae/put_vae_here b/ComfyUI/models/vae/put_vae_here
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/models/vae_approx/put_taesd_encoder_pth_and_taesd_decoder_pth_here b/ComfyUI/models/vae_approx/put_taesd_encoder_pth_and_taesd_decoder_pth_here
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diff --git a/ComfyUI/new_updater.py b/ComfyUI/new_updater.py
new file mode 100644
index 0000000000000000000000000000000000000000..a49e0877cb1cc3d76ff91f6ebdae5e777e30a9f8
--- /dev/null
+++ b/ComfyUI/new_updater.py
@@ -0,0 +1,35 @@
+import os
+import shutil
+
+base_path = os.path.dirname(os.path.realpath(__file__))
+
+
+def update_windows_updater():
+    top_path = os.path.dirname(base_path)
+    updater_path = os.path.join(base_path, ".ci/update_windows/update.py")
+    bat_path = os.path.join(base_path, ".ci/update_windows/update_comfyui.bat")
+
+    dest_updater_path = os.path.join(top_path, "update/update.py")
+    dest_bat_path = os.path.join(top_path, "update/update_comfyui.bat")
+    dest_bat_deps_path = os.path.join(top_path, "update/update_comfyui_and_python_dependencies.bat")
+
+    try:
+        with open(dest_bat_path, 'rb') as f:
+            contents = f.read()
+    except:
+        return
+
+    if not contents.startswith(b"..\\python_embeded\\python.exe .\\update.py"):
+        return
+
+    shutil.copy(updater_path, dest_updater_path)
+    try:
+        with open(dest_bat_deps_path, 'rb') as f:
+            contents = f.read()
+            contents = contents.replace(b'..\\python_embeded\\python.exe .\\update.py ..\\ComfyUI\\', b'call update_comfyui.bat nopause')
+        with open(dest_bat_deps_path, 'wb') as f:
+            f.write(contents)
+    except:
+        pass
+    shutil.copy(bat_path, dest_bat_path)
+    print("Updated the windows standalone package updater.")
diff --git a/ComfyUI/node_helpers.py b/ComfyUI/node_helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..4b38bfff809900c81e274d506c25648d842fc8a3
--- /dev/null
+++ b/ComfyUI/node_helpers.py
@@ -0,0 +1,37 @@
+import hashlib
+
+from comfy.cli_args import args
+
+from PIL import ImageFile, UnidentifiedImageError
+
+def conditioning_set_values(conditioning, values={}):
+    c = []
+    for t in conditioning:
+        n = [t[0], t[1].copy()]
+        for k in values:
+            n[1][k] = values[k]
+        c.append(n)
+
+    return c
+
+def pillow(fn, arg):
+    prev_value = None
+    try:
+        x = fn(arg)
+    except (OSError, UnidentifiedImageError, ValueError): #PIL issues #4472 and #2445, also fixes ComfyUI issue #3416
+        prev_value = ImageFile.LOAD_TRUNCATED_IMAGES
+        ImageFile.LOAD_TRUNCATED_IMAGES = True
+        x = fn(arg)
+    finally:
+        if prev_value is not None:
+            ImageFile.LOAD_TRUNCATED_IMAGES = prev_value
+    return x
+
+def hasher():
+    hashfuncs = {
+        "md5": hashlib.md5,
+        "sha1": hashlib.sha1,
+        "sha256": hashlib.sha256,
+        "sha512": hashlib.sha512
+    }
+    return hashfuncs[args.default_hashing_function]
diff --git a/ComfyUI/nodes.py b/ComfyUI/nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..707d86b635c5efe821bf6c855a20d8c59ceca7e0
--- /dev/null
+++ b/ComfyUI/nodes.py
@@ -0,0 +1,2133 @@
+import torch
+
+import os
+import sys
+import json
+import hashlib
+import traceback
+import math
+import time
+import random
+import logging
+
+from PIL import Image, ImageOps, ImageSequence, ImageFile
+from PIL.PngImagePlugin import PngInfo
+
+import numpy as np
+import safetensors.torch
+
+sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))
+
+import comfy.diffusers_load
+import comfy.samplers
+import comfy.sample
+import comfy.sd
+import comfy.utils
+import comfy.controlnet
+
+import comfy.clip_vision
+
+import comfy.model_management
+from comfy.cli_args import args
+
+import importlib
+
+import folder_paths
+import latent_preview
+import node_helpers
+
+def before_node_execution():
+    comfy.model_management.throw_exception_if_processing_interrupted()
+
+def interrupt_processing(value=True):
+    comfy.model_management.interrupt_current_processing(value)
+
+MAX_RESOLUTION=16384
+
+class CLIPTextEncode:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "text": ("STRING", {"multiline": True, "dynamicPrompts": True, "tooltip": "The text to be encoded."}), 
+                "clip": ("CLIP", {"tooltip": "The CLIP model used for encoding the text."})
+            }
+        }
+    RETURN_TYPES = ("CONDITIONING",)
+    OUTPUT_TOOLTIPS = ("A conditioning containing the embedded text used to guide the diffusion model.",)
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning"
+    DESCRIPTION = "Encodes a text prompt using a CLIP model into an embedding that can be used to guide the diffusion model towards generating specific images."
+
+    def encode(self, clip, text):
+        tokens = clip.tokenize(text)
+        output = clip.encode_from_tokens(tokens, return_pooled=True, return_dict=True)
+        cond = output.pop("cond")
+        return ([[cond, output]], )
+
+class ConditioningCombine:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning_1": ("CONDITIONING", ), "conditioning_2": ("CONDITIONING", )}}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "combine"
+
+    CATEGORY = "conditioning"
+
+    def combine(self, conditioning_1, conditioning_2):
+        return (conditioning_1 + conditioning_2, )
+
+class ConditioningAverage :
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning_to": ("CONDITIONING", ), "conditioning_from": ("CONDITIONING", ),
+                              "conditioning_to_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "addWeighted"
+
+    CATEGORY = "conditioning"
+
+    def addWeighted(self, conditioning_to, conditioning_from, conditioning_to_strength):
+        out = []
+
+        if len(conditioning_from) > 1:
+            logging.warning("Warning: ConditioningAverage conditioning_from contains more than 1 cond, only the first one will actually be applied to conditioning_to.")
+
+        cond_from = conditioning_from[0][0]
+        pooled_output_from = conditioning_from[0][1].get("pooled_output", None)
+
+        for i in range(len(conditioning_to)):
+            t1 = conditioning_to[i][0]
+            pooled_output_to = conditioning_to[i][1].get("pooled_output", pooled_output_from)
+            t0 = cond_from[:,:t1.shape[1]]
+            if t0.shape[1] < t1.shape[1]:
+                t0 = torch.cat([t0] + [torch.zeros((1, (t1.shape[1] - t0.shape[1]), t1.shape[2]))], dim=1)
+
+            tw = torch.mul(t1, conditioning_to_strength) + torch.mul(t0, (1.0 - conditioning_to_strength))
+            t_to = conditioning_to[i][1].copy()
+            if pooled_output_from is not None and pooled_output_to is not None:
+                t_to["pooled_output"] = torch.mul(pooled_output_to, conditioning_to_strength) + torch.mul(pooled_output_from, (1.0 - conditioning_to_strength))
+            elif pooled_output_from is not None:
+                t_to["pooled_output"] = pooled_output_from
+
+            n = [tw, t_to]
+            out.append(n)
+        return (out, )
+
+class ConditioningConcat:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "conditioning_to": ("CONDITIONING",),
+            "conditioning_from": ("CONDITIONING",),
+            }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "concat"
+
+    CATEGORY = "conditioning"
+
+    def concat(self, conditioning_to, conditioning_from):
+        out = []
+
+        if len(conditioning_from) > 1:
+            logging.warning("Warning: ConditioningConcat conditioning_from contains more than 1 cond, only the first one will actually be applied to conditioning_to.")
+
+        cond_from = conditioning_from[0][0]
+
+        for i in range(len(conditioning_to)):
+            t1 = conditioning_to[i][0]
+            tw = torch.cat((t1, cond_from),1)
+            n = [tw, conditioning_to[i][1].copy()]
+            out.append(n)
+
+        return (out, )
+
+class ConditioningSetArea:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning": ("CONDITIONING", ),
+                              "width": ("INT", {"default": 64, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 64, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
+                              "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                              "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                              "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "append"
+
+    CATEGORY = "conditioning"
+
+    def append(self, conditioning, width, height, x, y, strength):
+        c = node_helpers.conditioning_set_values(conditioning, {"area": (height // 8, width // 8, y // 8, x // 8),
+                                                                "strength": strength,
+                                                                "set_area_to_bounds": False})
+        return (c, )
+
+class ConditioningSetAreaPercentage:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning": ("CONDITIONING", ),
+                              "width": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}),
+                              "height": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}),
+                              "x": ("FLOAT", {"default": 0, "min": 0, "max": 1.0, "step": 0.01}),
+                              "y": ("FLOAT", {"default": 0, "min": 0, "max": 1.0, "step": 0.01}),
+                              "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "append"
+
+    CATEGORY = "conditioning"
+
+    def append(self, conditioning, width, height, x, y, strength):
+        c = node_helpers.conditioning_set_values(conditioning, {"area": ("percentage", height, width, y, x),
+                                                                "strength": strength,
+                                                                "set_area_to_bounds": False})
+        return (c, )
+
+class ConditioningSetAreaStrength:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning": ("CONDITIONING", ),
+                              "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "append"
+
+    CATEGORY = "conditioning"
+
+    def append(self, conditioning, strength):
+        c = node_helpers.conditioning_set_values(conditioning, {"strength": strength})
+        return (c, )
+
+
+class ConditioningSetMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning": ("CONDITIONING", ),
+                              "mask": ("MASK", ),
+                              "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "set_cond_area": (["default", "mask bounds"],),
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "append"
+
+    CATEGORY = "conditioning"
+
+    def append(self, conditioning, mask, set_cond_area, strength):
+        set_area_to_bounds = False
+        if set_cond_area != "default":
+            set_area_to_bounds = True
+        if len(mask.shape) < 3:
+            mask = mask.unsqueeze(0)
+
+        c = node_helpers.conditioning_set_values(conditioning, {"mask": mask,
+                                                                "set_area_to_bounds": set_area_to_bounds,
+                                                                "mask_strength": strength})
+        return (c, )
+
+class ConditioningZeroOut:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning": ("CONDITIONING", )}}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "zero_out"
+
+    CATEGORY = "advanced/conditioning"
+
+    def zero_out(self, conditioning):
+        c = []
+        for t in conditioning:
+            d = t[1].copy()
+            pooled_output = d.get("pooled_output", None)
+            if pooled_output is not None:
+                d["pooled_output"] = torch.zeros_like(pooled_output)
+            n = [torch.zeros_like(t[0]), d]
+            c.append(n)
+        return (c, )
+
+class ConditioningSetTimestepRange:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning": ("CONDITIONING", ),
+                             "start": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
+                             "end": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001})
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "set_range"
+
+    CATEGORY = "advanced/conditioning"
+
+    def set_range(self, conditioning, start, end):
+        c = node_helpers.conditioning_set_values(conditioning, {"start_percent": start,
+                                                                "end_percent": end})
+        return (c, )
+
+class VAEDecode:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": { 
+                "samples": ("LATENT", {"tooltip": "The latent to be decoded."}), 
+                "vae": ("VAE", {"tooltip": "The VAE model used for decoding the latent."})
+            }
+        }
+    RETURN_TYPES = ("IMAGE",)
+    OUTPUT_TOOLTIPS = ("The decoded image.",)
+    FUNCTION = "decode"
+
+    CATEGORY = "latent"
+    DESCRIPTION = "Decodes latent images back into pixel space images."
+
+    def decode(self, vae, samples):
+        return (vae.decode(samples["samples"]), )
+
+class VAEDecodeTiled:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"samples": ("LATENT", ), "vae": ("VAE", ),
+                             "tile_size": ("INT", {"default": 512, "min": 320, "max": 4096, "step": 64})
+                            }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "decode"
+
+    CATEGORY = "_for_testing"
+
+    def decode(self, vae, samples, tile_size):
+        return (vae.decode_tiled(samples["samples"], tile_x=tile_size // 8, tile_y=tile_size // 8, ), )
+
+class VAEEncode:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "pixels": ("IMAGE", ), "vae": ("VAE", )}}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "encode"
+
+    CATEGORY = "latent"
+
+    def encode(self, vae, pixels):
+        t = vae.encode(pixels[:,:,:,:3])
+        return ({"samples":t}, )
+
+class VAEEncodeTiled:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"pixels": ("IMAGE", ), "vae": ("VAE", ),
+                             "tile_size": ("INT", {"default": 512, "min": 320, "max": 4096, "step": 64})
+                            }}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "encode"
+
+    CATEGORY = "_for_testing"
+
+    def encode(self, vae, pixels, tile_size):
+        t = vae.encode_tiled(pixels[:,:,:,:3], tile_x=tile_size, tile_y=tile_size, )
+        return ({"samples":t}, )
+
+class VAEEncodeForInpaint:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "pixels": ("IMAGE", ), "vae": ("VAE", ), "mask": ("MASK", ), "grow_mask_by": ("INT", {"default": 6, "min": 0, "max": 64, "step": 1}),}}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "encode"
+
+    CATEGORY = "latent/inpaint"
+
+    def encode(self, vae, pixels, mask, grow_mask_by=6):
+        x = (pixels.shape[1] // vae.downscale_ratio) * vae.downscale_ratio
+        y = (pixels.shape[2] // vae.downscale_ratio) * vae.downscale_ratio
+        mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(pixels.shape[1], pixels.shape[2]), mode="bilinear")
+
+        pixels = pixels.clone()
+        if pixels.shape[1] != x or pixels.shape[2] != y:
+            x_offset = (pixels.shape[1] % vae.downscale_ratio) // 2
+            y_offset = (pixels.shape[2] % vae.downscale_ratio) // 2
+            pixels = pixels[:,x_offset:x + x_offset, y_offset:y + y_offset,:]
+            mask = mask[:,:,x_offset:x + x_offset, y_offset:y + y_offset]
+
+        #grow mask by a few pixels to keep things seamless in latent space
+        if grow_mask_by == 0:
+            mask_erosion = mask
+        else:
+            kernel_tensor = torch.ones((1, 1, grow_mask_by, grow_mask_by))
+            padding = math.ceil((grow_mask_by - 1) / 2)
+
+            mask_erosion = torch.clamp(torch.nn.functional.conv2d(mask.round(), kernel_tensor, padding=padding), 0, 1)
+
+        m = (1.0 - mask.round()).squeeze(1)
+        for i in range(3):
+            pixels[:,:,:,i] -= 0.5
+            pixels[:,:,:,i] *= m
+            pixels[:,:,:,i] += 0.5
+        t = vae.encode(pixels)
+
+        return ({"samples":t, "noise_mask": (mask_erosion[:,:,:x,:y].round())}, )
+
+
+class InpaintModelConditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"positive": ("CONDITIONING", ),
+                             "negative": ("CONDITIONING", ),
+                             "vae": ("VAE", ),
+                             "pixels": ("IMAGE", ),
+                             "mask": ("MASK", ),
+                             }}
+
+    RETURN_TYPES = ("CONDITIONING","CONDITIONING","LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/inpaint"
+
+    def encode(self, positive, negative, pixels, vae, mask):
+        x = (pixels.shape[1] // 8) * 8
+        y = (pixels.shape[2] // 8) * 8
+        mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(pixels.shape[1], pixels.shape[2]), mode="bilinear")
+
+        orig_pixels = pixels
+        pixels = orig_pixels.clone()
+        if pixels.shape[1] != x or pixels.shape[2] != y:
+            x_offset = (pixels.shape[1] % 8) // 2
+            y_offset = (pixels.shape[2] % 8) // 2
+            pixels = pixels[:,x_offset:x + x_offset, y_offset:y + y_offset,:]
+            mask = mask[:,:,x_offset:x + x_offset, y_offset:y + y_offset]
+
+        m = (1.0 - mask.round()).squeeze(1)
+        for i in range(3):
+            pixels[:,:,:,i] -= 0.5
+            pixels[:,:,:,i] *= m
+            pixels[:,:,:,i] += 0.5
+        concat_latent = vae.encode(pixels)
+        orig_latent = vae.encode(orig_pixels)
+
+        out_latent = {}
+
+        out_latent["samples"] = orig_latent
+        out_latent["noise_mask"] = mask
+
+        out = []
+        for conditioning in [positive, negative]:
+            c = node_helpers.conditioning_set_values(conditioning, {"concat_latent_image": concat_latent,
+                                                                    "concat_mask": mask})
+            out.append(c)
+        return (out[0], out[1], out_latent)
+
+
+class SaveLatent:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT", ),
+                              "filename_prefix": ("STRING", {"default": "latents/ComfyUI"})},
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+                }
+    RETURN_TYPES = ()
+    FUNCTION = "save"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "_for_testing"
+
+    def save(self, samples, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
+        full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
+
+        # support save metadata for latent sharing
+        prompt_info = ""
+        if prompt is not None:
+            prompt_info = json.dumps(prompt)
+
+        metadata = None
+        if not args.disable_metadata:
+            metadata = {"prompt": prompt_info}
+            if extra_pnginfo is not None:
+                for x in extra_pnginfo:
+                    metadata[x] = json.dumps(extra_pnginfo[x])
+
+        file = f"{filename}_{counter:05}_.latent"
+
+        results = list()
+        results.append({
+            "filename": file,
+            "subfolder": subfolder,
+            "type": "output"
+        })
+
+        file = os.path.join(full_output_folder, file)
+
+        output = {}
+        output["latent_tensor"] = samples["samples"]
+        output["latent_format_version_0"] = torch.tensor([])
+
+        comfy.utils.save_torch_file(output, file, metadata=metadata)
+        return { "ui": { "latents": results } }
+
+
+class LoadLatent:
+    @classmethod
+    def INPUT_TYPES(s):
+        input_dir = folder_paths.get_input_directory()
+        files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f)) and f.endswith(".latent")]
+        return {"required": {"latent": [sorted(files), ]}, }
+
+    CATEGORY = "_for_testing"
+
+    RETURN_TYPES = ("LATENT", )
+    FUNCTION = "load"
+
+    def load(self, latent):
+        latent_path = folder_paths.get_annotated_filepath(latent)
+        latent = safetensors.torch.load_file(latent_path, device="cpu")
+        multiplier = 1.0
+        if "latent_format_version_0" not in latent:
+            multiplier = 1.0 / 0.18215
+        samples = {"samples": latent["latent_tensor"].float() * multiplier}
+        return (samples, )
+
+    @classmethod
+    def IS_CHANGED(s, latent):
+        image_path = folder_paths.get_annotated_filepath(latent)
+        m = hashlib.sha256()
+        with open(image_path, 'rb') as f:
+            m.update(f.read())
+        return m.digest().hex()
+
+    @classmethod
+    def VALIDATE_INPUTS(s, latent):
+        if not folder_paths.exists_annotated_filepath(latent):
+            return "Invalid latent file: {}".format(latent)
+        return True
+
+
+class CheckpointLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "config_name": (folder_paths.get_filename_list("configs"), ),
+                              "ckpt_name": (folder_paths.get_filename_list("checkpoints"), )}}
+    RETURN_TYPES = ("MODEL", "CLIP", "VAE")
+    FUNCTION = "load_checkpoint"
+
+    CATEGORY = "advanced/loaders"
+
+    def load_checkpoint(self, config_name, ckpt_name):
+        config_path = folder_paths.get_full_path("configs", config_name)
+        ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name)
+        return comfy.sd.load_checkpoint(config_path, ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
+
+class CheckpointLoaderSimple:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": { 
+                "ckpt_name": (folder_paths.get_filename_list("checkpoints"), {"tooltip": "The name of the checkpoint (model) to load."}),
+            }
+        }
+    RETURN_TYPES = ("MODEL", "CLIP", "VAE")
+    OUTPUT_TOOLTIPS = ("The model used for denoising latents.", 
+                       "The CLIP model used for encoding text prompts.", 
+                       "The VAE model used for encoding and decoding images to and from latent space.")
+    FUNCTION = "load_checkpoint"
+
+    CATEGORY = "loaders"
+    DESCRIPTION = "Loads a diffusion model checkpoint, diffusion models are used to denoise latents."
+
+    def load_checkpoint(self, ckpt_name):
+        ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name)
+        out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
+        return out[:3]
+
+class DiffusersLoader:
+    @classmethod
+    def INPUT_TYPES(cls):
+        paths = []
+        for search_path in folder_paths.get_folder_paths("diffusers"):
+            if os.path.exists(search_path):
+                for root, subdir, files in os.walk(search_path, followlinks=True):
+                    if "model_index.json" in files:
+                        paths.append(os.path.relpath(root, start=search_path))
+
+        return {"required": {"model_path": (paths,), }}
+    RETURN_TYPES = ("MODEL", "CLIP", "VAE")
+    FUNCTION = "load_checkpoint"
+
+    CATEGORY = "advanced/loaders/deprecated"
+
+    def load_checkpoint(self, model_path, output_vae=True, output_clip=True):
+        for search_path in folder_paths.get_folder_paths("diffusers"):
+            if os.path.exists(search_path):
+                path = os.path.join(search_path, model_path)
+                if os.path.exists(path):
+                    model_path = path
+                    break
+
+        return comfy.diffusers_load.load_diffusers(model_path, output_vae=output_vae, output_clip=output_clip, embedding_directory=folder_paths.get_folder_paths("embeddings"))
+
+
+class unCLIPCheckpointLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "ckpt_name": (folder_paths.get_filename_list("checkpoints"), ),
+                             }}
+    RETURN_TYPES = ("MODEL", "CLIP", "VAE", "CLIP_VISION")
+    FUNCTION = "load_checkpoint"
+
+    CATEGORY = "loaders"
+
+    def load_checkpoint(self, ckpt_name, output_vae=True, output_clip=True):
+        ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name)
+        out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, output_clipvision=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
+        return out
+
+class CLIPSetLastLayer:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip": ("CLIP", ),
+                              "stop_at_clip_layer": ("INT", {"default": -1, "min": -24, "max": -1, "step": 1}),
+                              }}
+    RETURN_TYPES = ("CLIP",)
+    FUNCTION = "set_last_layer"
+
+    CATEGORY = "conditioning"
+
+    def set_last_layer(self, clip, stop_at_clip_layer):
+        clip = clip.clone()
+        clip.clip_layer(stop_at_clip_layer)
+        return (clip,)
+
+class LoraLoader:
+    def __init__(self):
+        self.loaded_lora = None
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": { 
+                "model": ("MODEL", {"tooltip": "The diffusion model the LoRA will be applied to."}),
+                "clip": ("CLIP", {"tooltip": "The CLIP model the LoRA will be applied to."}),
+                "lora_name": (folder_paths.get_filename_list("loras"), {"tooltip": "The name of the LoRA."}),
+                "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01, "tooltip": "How strongly to modify the diffusion model. This value can be negative."}),
+                "strength_clip": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01, "tooltip": "How strongly to modify the CLIP model. This value can be negative."}),
+            }
+        }
+    
+    RETURN_TYPES = ("MODEL", "CLIP")
+    OUTPUT_TOOLTIPS = ("The modified diffusion model.", "The modified CLIP model.")
+    FUNCTION = "load_lora"
+
+    CATEGORY = "loaders"
+    DESCRIPTION = "LoRAs are used to modify diffusion and CLIP models, altering the way in which latents are denoised such as applying styles. Multiple LoRA nodes can be linked together."
+
+    def load_lora(self, model, clip, lora_name, strength_model, strength_clip):
+        if strength_model == 0 and strength_clip == 0:
+            return (model, clip)
+
+        lora_path = folder_paths.get_full_path("loras", lora_name)
+        lora = None
+        if self.loaded_lora is not None:
+            if self.loaded_lora[0] == lora_path:
+                lora = self.loaded_lora[1]
+            else:
+                temp = self.loaded_lora
+                self.loaded_lora = None
+                del temp
+
+        if lora is None:
+            lora = comfy.utils.load_torch_file(lora_path, safe_load=True)
+            self.loaded_lora = (lora_path, lora)
+
+        model_lora, clip_lora = comfy.sd.load_lora_for_models(model, clip, lora, strength_model, strength_clip)
+        return (model_lora, clip_lora)
+
+class LoraLoaderModelOnly(LoraLoader):
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "lora_name": (folder_paths.get_filename_list("loras"), ),
+                              "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "load_lora_model_only"
+
+    def load_lora_model_only(self, model, lora_name, strength_model):
+        return (self.load_lora(model, None, lora_name, strength_model, 0)[0],)
+
+class VAELoader:
+    @staticmethod
+    def vae_list():
+        vaes = folder_paths.get_filename_list("vae")
+        approx_vaes = folder_paths.get_filename_list("vae_approx")
+        sdxl_taesd_enc = False
+        sdxl_taesd_dec = False
+        sd1_taesd_enc = False
+        sd1_taesd_dec = False
+        sd3_taesd_enc = False
+        sd3_taesd_dec = False
+        f1_taesd_enc = False
+        f1_taesd_dec = False
+
+        for v in approx_vaes:
+            if v.startswith("taesd_decoder."):
+                sd1_taesd_dec = True
+            elif v.startswith("taesd_encoder."):
+                sd1_taesd_enc = True
+            elif v.startswith("taesdxl_decoder."):
+                sdxl_taesd_dec = True
+            elif v.startswith("taesdxl_encoder."):
+                sdxl_taesd_enc = True
+            elif v.startswith("taesd3_decoder."):
+                sd3_taesd_dec = True
+            elif v.startswith("taesd3_encoder."):
+                sd3_taesd_enc = True
+            elif v.startswith("taef1_encoder."):
+                f1_taesd_dec = True
+            elif v.startswith("taef1_decoder."):
+                f1_taesd_enc = True
+        if sd1_taesd_dec and sd1_taesd_enc:
+            vaes.append("taesd")
+        if sdxl_taesd_dec and sdxl_taesd_enc:
+            vaes.append("taesdxl")
+        if sd3_taesd_dec and sd3_taesd_enc:
+            vaes.append("taesd3")
+        if f1_taesd_dec and f1_taesd_enc:
+            vaes.append("taef1")
+        return vaes
+
+    @staticmethod
+    def load_taesd(name):
+        sd = {}
+        approx_vaes = folder_paths.get_filename_list("vae_approx")
+
+        encoder = next(filter(lambda a: a.startswith("{}_encoder.".format(name)), approx_vaes))
+        decoder = next(filter(lambda a: a.startswith("{}_decoder.".format(name)), approx_vaes))
+
+        enc = comfy.utils.load_torch_file(folder_paths.get_full_path("vae_approx", encoder))
+        for k in enc:
+            sd["taesd_encoder.{}".format(k)] = enc[k]
+
+        dec = comfy.utils.load_torch_file(folder_paths.get_full_path("vae_approx", decoder))
+        for k in dec:
+            sd["taesd_decoder.{}".format(k)] = dec[k]
+
+        if name == "taesd":
+            sd["vae_scale"] = torch.tensor(0.18215)
+            sd["vae_shift"] = torch.tensor(0.0)
+        elif name == "taesdxl":
+            sd["vae_scale"] = torch.tensor(0.13025)
+            sd["vae_shift"] = torch.tensor(0.0)
+        elif name == "taesd3":
+            sd["vae_scale"] = torch.tensor(1.5305)
+            sd["vae_shift"] = torch.tensor(0.0609)
+        elif name == "taef1":
+            sd["vae_scale"] = torch.tensor(0.3611)
+            sd["vae_shift"] = torch.tensor(0.1159)
+        return sd
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "vae_name": (s.vae_list(), )}}
+    RETURN_TYPES = ("VAE",)
+    FUNCTION = "load_vae"
+
+    CATEGORY = "loaders"
+
+    #TODO: scale factor?
+    def load_vae(self, vae_name):
+        if vae_name in ["taesd", "taesdxl", "taesd3", "taef1"]:
+            sd = self.load_taesd(vae_name)
+        else:
+            vae_path = folder_paths.get_full_path("vae", vae_name)
+            sd = comfy.utils.load_torch_file(vae_path)
+        vae = comfy.sd.VAE(sd=sd)
+        return (vae,)
+
+class ControlNetLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "control_net_name": (folder_paths.get_filename_list("controlnet"), )}}
+
+    RETURN_TYPES = ("CONTROL_NET",)
+    FUNCTION = "load_controlnet"
+
+    CATEGORY = "loaders"
+
+    def load_controlnet(self, control_net_name):
+        controlnet_path = folder_paths.get_full_path("controlnet", control_net_name)
+        controlnet = comfy.controlnet.load_controlnet(controlnet_path)
+        return (controlnet,)
+
+class DiffControlNetLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "control_net_name": (folder_paths.get_filename_list("controlnet"), )}}
+
+    RETURN_TYPES = ("CONTROL_NET",)
+    FUNCTION = "load_controlnet"
+
+    CATEGORY = "loaders"
+
+    def load_controlnet(self, model, control_net_name):
+        controlnet_path = folder_paths.get_full_path("controlnet", control_net_name)
+        controlnet = comfy.controlnet.load_controlnet(controlnet_path, model)
+        return (controlnet,)
+
+
+class ControlNetApply:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning": ("CONDITIONING", ),
+                             "control_net": ("CONTROL_NET", ),
+                             "image": ("IMAGE", ),
+                             "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01})
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "apply_controlnet"
+
+    CATEGORY = "conditioning/controlnet"
+
+    def apply_controlnet(self, conditioning, control_net, image, strength):
+        if strength == 0:
+            return (conditioning, )
+
+        c = []
+        control_hint = image.movedim(-1,1)
+        for t in conditioning:
+            n = [t[0], t[1].copy()]
+            c_net = control_net.copy().set_cond_hint(control_hint, strength)
+            if 'control' in t[1]:
+                c_net.set_previous_controlnet(t[1]['control'])
+            n[1]['control'] = c_net
+            n[1]['control_apply_to_uncond'] = True
+            c.append(n)
+        return (c, )
+
+
+class ControlNetApplyAdvanced:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"positive": ("CONDITIONING", ),
+                             "negative": ("CONDITIONING", ),
+                             "control_net": ("CONTROL_NET", ),
+                             "image": ("IMAGE", ),
+                             "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
+                             "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001})
+                             }}
+
+    RETURN_TYPES = ("CONDITIONING","CONDITIONING")
+    RETURN_NAMES = ("positive", "negative")
+    FUNCTION = "apply_controlnet"
+
+    CATEGORY = "conditioning/controlnet"
+
+    def apply_controlnet(self, positive, negative, control_net, image, strength, start_percent, end_percent, vae=None):
+        if strength == 0:
+            return (positive, negative)
+
+        control_hint = image.movedim(-1,1)
+        cnets = {}
+
+        out = []
+        for conditioning in [positive, negative]:
+            c = []
+            for t in conditioning:
+                d = t[1].copy()
+
+                prev_cnet = d.get('control', None)
+                if prev_cnet in cnets:
+                    c_net = cnets[prev_cnet]
+                else:
+                    c_net = control_net.copy().set_cond_hint(control_hint, strength, (start_percent, end_percent), vae)
+                    c_net.set_previous_controlnet(prev_cnet)
+                    cnets[prev_cnet] = c_net
+
+                d['control'] = c_net
+                d['control_apply_to_uncond'] = False
+                n = [t[0], d]
+                c.append(n)
+            out.append(c)
+        return (out[0], out[1])
+
+
+class UNETLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "unet_name": (folder_paths.get_filename_list("diffusion_models"), ),
+                              "weight_dtype": (["default", "fp8_e4m3fn", "fp8_e5m2"],)
+                             }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "load_unet"
+
+    CATEGORY = "advanced/loaders"
+
+    def load_unet(self, unet_name, weight_dtype):
+        model_options = {}
+        if weight_dtype == "fp8_e4m3fn":
+            model_options["dtype"] = torch.float8_e4m3fn
+        elif weight_dtype == "fp8_e5m2":
+            model_options["dtype"] = torch.float8_e5m2
+
+        unet_path = folder_paths.get_full_path("diffusion_models", unet_name)
+        model = comfy.sd.load_diffusion_model(unet_path, model_options=model_options)
+        return (model,)
+
+class CLIPLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_name": (folder_paths.get_filename_list("clip"), ),
+                              "type": (["stable_diffusion", "stable_cascade", "sd3", "stable_audio"], ),
+                             }}
+    RETURN_TYPES = ("CLIP",)
+    FUNCTION = "load_clip"
+
+    CATEGORY = "advanced/loaders"
+
+    def load_clip(self, clip_name, type="stable_diffusion"):
+        if type == "stable_cascade":
+            clip_type = comfy.sd.CLIPType.STABLE_CASCADE
+        elif type == "sd3":
+            clip_type = comfy.sd.CLIPType.SD3
+        elif type == "stable_audio":
+            clip_type = comfy.sd.CLIPType.STABLE_AUDIO
+        else:
+            clip_type = comfy.sd.CLIPType.STABLE_DIFFUSION
+
+        clip_path = folder_paths.get_full_path("clip", clip_name)
+        clip = comfy.sd.load_clip(ckpt_paths=[clip_path], embedding_directory=folder_paths.get_folder_paths("embeddings"), clip_type=clip_type)
+        return (clip,)
+
+class DualCLIPLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_name1": (folder_paths.get_filename_list("clip"), ),
+                              "clip_name2": (folder_paths.get_filename_list("clip"), ),
+                              "type": (["sdxl", "sd3", "flux"], ),
+                             }}
+    RETURN_TYPES = ("CLIP",)
+    FUNCTION = "load_clip"
+
+    CATEGORY = "advanced/loaders"
+
+    def load_clip(self, clip_name1, clip_name2, type):
+        clip_path1 = folder_paths.get_full_path("clip", clip_name1)
+        clip_path2 = folder_paths.get_full_path("clip", clip_name2)
+        if type == "sdxl":
+            clip_type = comfy.sd.CLIPType.STABLE_DIFFUSION
+        elif type == "sd3":
+            clip_type = comfy.sd.CLIPType.SD3
+        elif type == "flux":
+            clip_type = comfy.sd.CLIPType.FLUX
+
+        clip = comfy.sd.load_clip(ckpt_paths=[clip_path1, clip_path2], embedding_directory=folder_paths.get_folder_paths("embeddings"), clip_type=clip_type)
+        return (clip,)
+
+class CLIPVisionLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_name": (folder_paths.get_filename_list("clip_vision"), ),
+                             }}
+    RETURN_TYPES = ("CLIP_VISION",)
+    FUNCTION = "load_clip"
+
+    CATEGORY = "loaders"
+
+    def load_clip(self, clip_name):
+        clip_path = folder_paths.get_full_path("clip_vision", clip_name)
+        clip_vision = comfy.clip_vision.load(clip_path)
+        return (clip_vision,)
+
+class CLIPVisionEncode:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_vision": ("CLIP_VISION",),
+                              "image": ("IMAGE",)
+                             }}
+    RETURN_TYPES = ("CLIP_VISION_OUTPUT",)
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning"
+
+    def encode(self, clip_vision, image):
+        output = clip_vision.encode_image(image)
+        return (output,)
+
+class StyleModelLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "style_model_name": (folder_paths.get_filename_list("style_models"), )}}
+
+    RETURN_TYPES = ("STYLE_MODEL",)
+    FUNCTION = "load_style_model"
+
+    CATEGORY = "loaders"
+
+    def load_style_model(self, style_model_name):
+        style_model_path = folder_paths.get_full_path("style_models", style_model_name)
+        style_model = comfy.sd.load_style_model(style_model_path)
+        return (style_model,)
+
+
+class StyleModelApply:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning": ("CONDITIONING", ),
+                             "style_model": ("STYLE_MODEL", ),
+                             "clip_vision_output": ("CLIP_VISION_OUTPUT", ),
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "apply_stylemodel"
+
+    CATEGORY = "conditioning/style_model"
+
+    def apply_stylemodel(self, clip_vision_output, style_model, conditioning):
+        cond = style_model.get_cond(clip_vision_output).flatten(start_dim=0, end_dim=1).unsqueeze(dim=0)
+        c = []
+        for t in conditioning:
+            n = [torch.cat((t[0], cond), dim=1), t[1].copy()]
+            c.append(n)
+        return (c, )
+
+class unCLIPConditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning": ("CONDITIONING", ),
+                             "clip_vision_output": ("CLIP_VISION_OUTPUT", ),
+                             "strength": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
+                             "noise_augmentation": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "apply_adm"
+
+    CATEGORY = "conditioning"
+
+    def apply_adm(self, conditioning, clip_vision_output, strength, noise_augmentation):
+        if strength == 0:
+            return (conditioning, )
+
+        c = []
+        for t in conditioning:
+            o = t[1].copy()
+            x = {"clip_vision_output": clip_vision_output, "strength": strength, "noise_augmentation": noise_augmentation}
+            if "unclip_conditioning" in o:
+                o["unclip_conditioning"] = o["unclip_conditioning"][:] + [x]
+            else:
+                o["unclip_conditioning"] = [x]
+            n = [t[0], o]
+            c.append(n)
+        return (c, )
+
+class GLIGENLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "gligen_name": (folder_paths.get_filename_list("gligen"), )}}
+
+    RETURN_TYPES = ("GLIGEN",)
+    FUNCTION = "load_gligen"
+
+    CATEGORY = "loaders"
+
+    def load_gligen(self, gligen_name):
+        gligen_path = folder_paths.get_full_path("gligen", gligen_name)
+        gligen = comfy.sd.load_gligen(gligen_path)
+        return (gligen,)
+
+class GLIGENTextBoxApply:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"conditioning_to": ("CONDITIONING", ),
+                              "clip": ("CLIP", ),
+                              "gligen_textbox_model": ("GLIGEN", ),
+                              "text": ("STRING", {"multiline": True, "dynamicPrompts": True}),
+                              "width": ("INT", {"default": 64, "min": 8, "max": MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 64, "min": 8, "max": MAX_RESOLUTION, "step": 8}),
+                              "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                              "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "append"
+
+    CATEGORY = "conditioning/gligen"
+
+    def append(self, conditioning_to, clip, gligen_textbox_model, text, width, height, x, y):
+        c = []
+        cond, cond_pooled = clip.encode_from_tokens(clip.tokenize(text), return_pooled="unprojected")
+        for t in conditioning_to:
+            n = [t[0], t[1].copy()]
+            position_params = [(cond_pooled, height // 8, width // 8, y // 8, x // 8)]
+            prev = []
+            if "gligen" in n[1]:
+                prev = n[1]['gligen'][2]
+
+            n[1]['gligen'] = ("position", gligen_textbox_model, prev + position_params)
+            c.append(n)
+        return (c, )
+
+class EmptyLatentImage:
+    def __init__(self):
+        self.device = comfy.model_management.intermediate_device()
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": { 
+                "width": ("INT", {"default": 512, "min": 16, "max": MAX_RESOLUTION, "step": 8, "tooltip": "The width of the latent images in pixels."}),
+                "height": ("INT", {"default": 512, "min": 16, "max": MAX_RESOLUTION, "step": 8, "tooltip": "The height of the latent images in pixels."}),
+                "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096, "tooltip": "The number of latent images in the batch."})
+            }
+        }
+    RETURN_TYPES = ("LATENT",)
+    OUTPUT_TOOLTIPS = ("The empty latent image batch.",)
+    FUNCTION = "generate"
+
+    CATEGORY = "latent"
+    DESCRIPTION = "Create a new batch of empty latent images to be denoised via sampling."
+
+    def generate(self, width, height, batch_size=1):
+        latent = torch.zeros([batch_size, 4, height // 8, width // 8], device=self.device)
+        return ({"samples":latent}, )
+
+
+class LatentFromBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",),
+                              "batch_index": ("INT", {"default": 0, "min": 0, "max": 63}),
+                              "length": ("INT", {"default": 1, "min": 1, "max": 64}),
+                              }}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "frombatch"
+
+    CATEGORY = "latent/batch"
+
+    def frombatch(self, samples, batch_index, length):
+        s = samples.copy()
+        s_in = samples["samples"]
+        batch_index = min(s_in.shape[0] - 1, batch_index)
+        length = min(s_in.shape[0] - batch_index, length)
+        s["samples"] = s_in[batch_index:batch_index + length].clone()
+        if "noise_mask" in samples:
+            masks = samples["noise_mask"]
+            if masks.shape[0] == 1:
+                s["noise_mask"] = masks.clone()
+            else:
+                if masks.shape[0] < s_in.shape[0]:
+                    masks = masks.repeat(math.ceil(s_in.shape[0] / masks.shape[0]), 1, 1, 1)[:s_in.shape[0]]
+                s["noise_mask"] = masks[batch_index:batch_index + length].clone()
+        if "batch_index" not in s:
+            s["batch_index"] = [x for x in range(batch_index, batch_index+length)]
+        else:
+            s["batch_index"] = samples["batch_index"][batch_index:batch_index + length]
+        return (s,)
+    
+class RepeatLatentBatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",),
+                              "amount": ("INT", {"default": 1, "min": 1, "max": 64}),
+                              }}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "repeat"
+
+    CATEGORY = "latent/batch"
+
+    def repeat(self, samples, amount):
+        s = samples.copy()
+        s_in = samples["samples"]
+        
+        s["samples"] = s_in.repeat((amount, 1,1,1))
+        if "noise_mask" in samples and samples["noise_mask"].shape[0] > 1:
+            masks = samples["noise_mask"]
+            if masks.shape[0] < s_in.shape[0]:
+                masks = masks.repeat(math.ceil(s_in.shape[0] / masks.shape[0]), 1, 1, 1)[:s_in.shape[0]]
+            s["noise_mask"] = samples["noise_mask"].repeat((amount, 1,1,1))
+        if "batch_index" in s:
+            offset = max(s["batch_index"]) - min(s["batch_index"]) + 1
+            s["batch_index"] = s["batch_index"] + [x + (i * offset) for i in range(1, amount) for x in s["batch_index"]]
+        return (s,)
+
+class LatentUpscale:
+    upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "bislerp"]
+    crop_methods = ["disabled", "center"]
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",), "upscale_method": (s.upscale_methods,),
+                              "width": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                              "crop": (s.crop_methods,)}}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "upscale"
+
+    CATEGORY = "latent"
+
+    def upscale(self, samples, upscale_method, width, height, crop):
+        if width == 0 and height == 0:
+            s = samples
+        else:
+            s = samples.copy()
+
+            if width == 0:
+                height = max(64, height)
+                width = max(64, round(samples["samples"].shape[3] * height / samples["samples"].shape[2]))
+            elif height == 0:
+                width = max(64, width)
+                height = max(64, round(samples["samples"].shape[2] * width / samples["samples"].shape[3]))
+            else:
+                width = max(64, width)
+                height = max(64, height)
+
+            s["samples"] = comfy.utils.common_upscale(samples["samples"], width // 8, height // 8, upscale_method, crop)
+        return (s,)
+
+class LatentUpscaleBy:
+    upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "bislerp"]
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",), "upscale_method": (s.upscale_methods,),
+                              "scale_by": ("FLOAT", {"default": 1.5, "min": 0.01, "max": 8.0, "step": 0.01}),}}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "upscale"
+
+    CATEGORY = "latent"
+
+    def upscale(self, samples, upscale_method, scale_by):
+        s = samples.copy()
+        width = round(samples["samples"].shape[3] * scale_by)
+        height = round(samples["samples"].shape[2] * scale_by)
+        s["samples"] = comfy.utils.common_upscale(samples["samples"], width, height, upscale_method, "disabled")
+        return (s,)
+
+class LatentRotate:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",),
+                              "rotation": (["none", "90 degrees", "180 degrees", "270 degrees"],),
+                              }}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "rotate"
+
+    CATEGORY = "latent/transform"
+
+    def rotate(self, samples, rotation):
+        s = samples.copy()
+        rotate_by = 0
+        if rotation.startswith("90"):
+            rotate_by = 1
+        elif rotation.startswith("180"):
+            rotate_by = 2
+        elif rotation.startswith("270"):
+            rotate_by = 3
+
+        s["samples"] = torch.rot90(samples["samples"], k=rotate_by, dims=[3, 2])
+        return (s,)
+
+class LatentFlip:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",),
+                              "flip_method": (["x-axis: vertically", "y-axis: horizontally"],),
+                              }}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "flip"
+
+    CATEGORY = "latent/transform"
+
+    def flip(self, samples, flip_method):
+        s = samples.copy()
+        if flip_method.startswith("x"):
+            s["samples"] = torch.flip(samples["samples"], dims=[2])
+        elif flip_method.startswith("y"):
+            s["samples"] = torch.flip(samples["samples"], dims=[3])
+
+        return (s,)
+
+class LatentComposite:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples_to": ("LATENT",),
+                              "samples_from": ("LATENT",),
+                              "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                              "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                              "feather": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                              }}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "composite"
+
+    CATEGORY = "latent"
+
+    def composite(self, samples_to, samples_from, x, y, composite_method="normal", feather=0):
+        x =  x // 8
+        y = y // 8
+        feather = feather // 8
+        samples_out = samples_to.copy()
+        s = samples_to["samples"].clone()
+        samples_to = samples_to["samples"]
+        samples_from = samples_from["samples"]
+        if feather == 0:
+            s[:,:,y:y+samples_from.shape[2],x:x+samples_from.shape[3]] = samples_from[:,:,:samples_to.shape[2] - y, :samples_to.shape[3] - x]
+        else:
+            samples_from = samples_from[:,:,:samples_to.shape[2] - y, :samples_to.shape[3] - x]
+            mask = torch.ones_like(samples_from)
+            for t in range(feather):
+                if y != 0:
+                    mask[:,:,t:1+t,:] *= ((1.0/feather) * (t + 1))
+
+                if y + samples_from.shape[2] < samples_to.shape[2]:
+                    mask[:,:,mask.shape[2] -1 -t: mask.shape[2]-t,:] *= ((1.0/feather) * (t + 1))
+                if x != 0:
+                    mask[:,:,:,t:1+t] *= ((1.0/feather) * (t + 1))
+                if x + samples_from.shape[3] < samples_to.shape[3]:
+                    mask[:,:,:,mask.shape[3]- 1 - t: mask.shape[3]- t] *= ((1.0/feather) * (t + 1))
+            rev_mask = torch.ones_like(mask) - mask
+            s[:,:,y:y+samples_from.shape[2],x:x+samples_from.shape[3]] = samples_from[:,:,:samples_to.shape[2] - y, :samples_to.shape[3] - x] * mask + s[:,:,y:y+samples_from.shape[2],x:x+samples_from.shape[3]] * rev_mask
+        samples_out["samples"] = s
+        return (samples_out,)
+
+class LatentBlend:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "samples1": ("LATENT",),
+            "samples2": ("LATENT",),
+            "blend_factor": ("FLOAT", {
+                "default": 0.5,
+                "min": 0,
+                "max": 1,
+                "step": 0.01
+            }),
+        }}
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "blend"
+
+    CATEGORY = "_for_testing"
+
+    def blend(self, samples1, samples2, blend_factor:float, blend_mode: str="normal"):
+
+        samples_out = samples1.copy()
+        samples1 = samples1["samples"]
+        samples2 = samples2["samples"]
+
+        if samples1.shape != samples2.shape:
+            samples2.permute(0, 3, 1, 2)
+            samples2 = comfy.utils.common_upscale(samples2, samples1.shape[3], samples1.shape[2], 'bicubic', crop='center')
+            samples2.permute(0, 2, 3, 1)
+
+        samples_blended = self.blend_mode(samples1, samples2, blend_mode)
+        samples_blended = samples1 * blend_factor + samples_blended * (1 - blend_factor)
+        samples_out["samples"] = samples_blended
+        return (samples_out,)
+
+    def blend_mode(self, img1, img2, mode):
+        if mode == "normal":
+            return img2
+        else:
+            raise ValueError(f"Unsupported blend mode: {mode}")
+
+class LatentCrop:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",),
+                              "width": ("INT", {"default": 512, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 512, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
+                              "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                              "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                              }}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "crop"
+
+    CATEGORY = "latent/transform"
+
+    def crop(self, samples, width, height, x, y):
+        s = samples.copy()
+        samples = samples['samples']
+        x =  x // 8
+        y = y // 8
+
+        #enfonce minimum size of 64
+        if x > (samples.shape[3] - 8):
+            x = samples.shape[3] - 8
+        if y > (samples.shape[2] - 8):
+            y = samples.shape[2] - 8
+
+        new_height = height // 8
+        new_width = width // 8
+        to_x = new_width + x
+        to_y = new_height + y
+        s['samples'] = samples[:,:,y:to_y, x:to_x]
+        return (s,)
+
+class SetLatentNoiseMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",),
+                              "mask": ("MASK",),
+                              }}
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "set_mask"
+
+    CATEGORY = "latent/inpaint"
+
+    def set_mask(self, samples, mask):
+        s = samples.copy()
+        s["noise_mask"] = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1]))
+        return (s,)
+
+def common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent, denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False):
+    latent_image = latent["samples"]
+    latent_image = comfy.sample.fix_empty_latent_channels(model, latent_image)
+
+    if disable_noise:
+        noise = torch.zeros(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout, device="cpu")
+    else:
+        batch_inds = latent["batch_index"] if "batch_index" in latent else None
+        noise = comfy.sample.prepare_noise(latent_image, seed, batch_inds)
+
+    noise_mask = None
+    if "noise_mask" in latent:
+        noise_mask = latent["noise_mask"]
+
+    callback = latent_preview.prepare_callback(model, steps)
+    disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
+    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
+                                  denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step,
+                                  force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
+    out = latent.copy()
+    out["samples"] = samples
+    return (out, )
+
+class KSampler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "model": ("MODEL", {"tooltip": "The model used for denoising the input latent."}),
+                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "tooltip": "The random seed used for creating the noise."}),
+                "steps": ("INT", {"default": 20, "min": 1, "max": 10000, "tooltip": "The number of steps used in the denoising process."}),
+                "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01, "tooltip": "The Classifier-Free Guidance scale balances creativity and adherence to the prompt. Higher values result in images more closely matching the prompt however too high values will negatively impact quality."}),
+                "sampler_name": (comfy.samplers.KSampler.SAMPLERS, {"tooltip": "The algorithm used when sampling, this can affect the quality, speed, and style of the generated output."}),
+                "scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"tooltip": "The scheduler controls how noise is gradually removed to form the image."}),
+                "positive": ("CONDITIONING", {"tooltip": "The conditioning describing the attributes you want to include in the image."}),
+                "negative": ("CONDITIONING", {"tooltip": "The conditioning describing the attributes you want to exclude from the image."}),
+                "latent_image": ("LATENT", {"tooltip": "The latent image to denoise."}),
+                "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling."}),
+            }
+        }
+
+    RETURN_TYPES = ("LATENT",)
+    OUTPUT_TOOLTIPS = ("The denoised latent.",)
+    FUNCTION = "sample"
+
+    CATEGORY = "sampling"
+    DESCRIPTION = "Uses the provided model, positive and negative conditioning to denoise the latent image."
+
+    def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0):
+        return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
+
+class KSamplerAdvanced:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model": ("MODEL",),
+                    "add_noise": (["enable", "disable"], ),
+                    "noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+                    "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
+                    "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}),
+                    "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
+                    "scheduler": (comfy.samplers.KSampler.SCHEDULERS, ),
+                    "positive": ("CONDITIONING", ),
+                    "negative": ("CONDITIONING", ),
+                    "latent_image": ("LATENT", ),
+                    "start_at_step": ("INT", {"default": 0, "min": 0, "max": 10000}),
+                    "end_at_step": ("INT", {"default": 10000, "min": 0, "max": 10000}),
+                    "return_with_leftover_noise": (["disable", "enable"], ),
+                     }
+                }
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "sample"
+
+    CATEGORY = "sampling"
+
+    def sample(self, model, add_noise, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, start_at_step, end_at_step, return_with_leftover_noise, denoise=1.0):
+        force_full_denoise = True
+        if return_with_leftover_noise == "enable":
+            force_full_denoise = False
+        disable_noise = False
+        if add_noise == "disable":
+            disable_noise = True
+        return common_ksampler(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise)
+
+class SaveImage:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+        self.type = "output"
+        self.prefix_append = ""
+        self.compress_level = 4
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "images": ("IMAGE", {"tooltip": "The images to save."}),
+                "filename_prefix": ("STRING", {"default": "ComfyUI", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."})
+            },
+            "hidden": {
+                "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"
+            },
+        }
+
+    RETURN_TYPES = ()
+    FUNCTION = "save_images"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "image"
+    DESCRIPTION = "Saves the input images to your ComfyUI output directory."
+
+    def save_images(self, images, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
+        filename_prefix += self.prefix_append
+        full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0])
+        results = list()
+        for (batch_number, image) in enumerate(images):
+            i = 255. * image.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+            metadata = None
+            if not args.disable_metadata:
+                metadata = PngInfo()
+                if prompt is not None:
+                    metadata.add_text("prompt", json.dumps(prompt))
+                if extra_pnginfo is not None:
+                    for x in extra_pnginfo:
+                        metadata.add_text(x, json.dumps(extra_pnginfo[x]))
+
+            filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
+            file = f"{filename_with_batch_num}_{counter:05}_.png"
+            img.save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=self.compress_level)
+            results.append({
+                "filename": file,
+                "subfolder": subfolder,
+                "type": self.type
+            })
+            counter += 1
+
+        return { "ui": { "images": results } }
+
+class PreviewImage(SaveImage):
+    def __init__(self):
+        self.output_dir = folder_paths.get_temp_directory()
+        self.type = "temp"
+        self.prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5))
+        self.compress_level = 1
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"images": ("IMAGE", ), },
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+                }
+
+class LoadImage:
+    @classmethod
+    def INPUT_TYPES(s):
+        input_dir = folder_paths.get_input_directory()
+        files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]
+        return {"required":
+                    {"image": (sorted(files), {"image_upload": True})},
+                }
+
+    CATEGORY = "image"
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    FUNCTION = "load_image"
+    def load_image(self, image):
+        image_path = folder_paths.get_annotated_filepath(image)
+        
+        img = node_helpers.pillow(Image.open, image_path)
+        
+        output_images = []
+        output_masks = []
+        w, h = None, None
+
+        excluded_formats = ['MPO']
+        
+        for i in ImageSequence.Iterator(img):
+            i = node_helpers.pillow(ImageOps.exif_transpose, i)
+
+            if i.mode == 'I':
+                i = i.point(lambda i: i * (1 / 255))
+            image = i.convert("RGB")
+
+            if len(output_images) == 0:
+                w = image.size[0]
+                h = image.size[1]
+            
+            if image.size[0] != w or image.size[1] != h:
+                continue
+            
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            if 'A' in i.getbands():
+                mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
+                mask = 1. - torch.from_numpy(mask)
+            else:
+                mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+            output_images.append(image)
+            output_masks.append(mask.unsqueeze(0))
+
+        if len(output_images) > 1 and img.format not in excluded_formats:
+            output_image = torch.cat(output_images, dim=0)
+            output_mask = torch.cat(output_masks, dim=0)
+        else:
+            output_image = output_images[0]
+            output_mask = output_masks[0]
+
+        return (output_image, output_mask)
+
+    @classmethod
+    def IS_CHANGED(s, image):
+        image_path = folder_paths.get_annotated_filepath(image)
+        m = hashlib.sha256()
+        with open(image_path, 'rb') as f:
+            m.update(f.read())
+        return m.digest().hex()
+
+    @classmethod
+    def VALIDATE_INPUTS(s, image):
+        if not folder_paths.exists_annotated_filepath(image):
+            return "Invalid image file: {}".format(image)
+
+        return True
+
+class LoadImageMask:
+    _color_channels = ["alpha", "red", "green", "blue"]
+    @classmethod
+    def INPUT_TYPES(s):
+        input_dir = folder_paths.get_input_directory()
+        files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]
+        return {"required":
+                    {"image": (sorted(files), {"image_upload": True}),
+                     "channel": (s._color_channels, ), }
+                }
+
+    CATEGORY = "mask"
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "load_image"
+    def load_image(self, image, channel):
+        image_path = folder_paths.get_annotated_filepath(image)
+        i = node_helpers.pillow(Image.open, image_path)
+        i = node_helpers.pillow(ImageOps.exif_transpose, i)
+        if i.getbands() != ("R", "G", "B", "A"):
+            if i.mode == 'I':
+                i = i.point(lambda i: i * (1 / 255))
+            i = i.convert("RGBA")
+        mask = None
+        c = channel[0].upper()
+        if c in i.getbands():
+            mask = np.array(i.getchannel(c)).astype(np.float32) / 255.0
+            mask = torch.from_numpy(mask)
+            if c == 'A':
+                mask = 1. - mask
+        else:
+            mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+        return (mask.unsqueeze(0),)
+
+    @classmethod
+    def IS_CHANGED(s, image, channel):
+        image_path = folder_paths.get_annotated_filepath(image)
+        m = hashlib.sha256()
+        with open(image_path, 'rb') as f:
+            m.update(f.read())
+        return m.digest().hex()
+
+    @classmethod
+    def VALIDATE_INPUTS(s, image):
+        if not folder_paths.exists_annotated_filepath(image):
+            return "Invalid image file: {}".format(image)
+
+        return True
+
+class ImageScale:
+    upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
+    crop_methods = ["disabled", "center"]
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "image": ("IMAGE",), "upscale_method": (s.upscale_methods,),
+                              "width": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                              "height": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+                              "crop": (s.crop_methods,)}}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "upscale"
+
+    CATEGORY = "image/upscaling"
+
+    def upscale(self, image, upscale_method, width, height, crop):
+        if width == 0 and height == 0:
+            s = image
+        else:
+            samples = image.movedim(-1,1)
+
+            if width == 0:
+                width = max(1, round(samples.shape[3] * height / samples.shape[2]))
+            elif height == 0:
+                height = max(1, round(samples.shape[2] * width / samples.shape[3]))
+
+            s = comfy.utils.common_upscale(samples, width, height, upscale_method, crop)
+            s = s.movedim(1,-1)
+        return (s,)
+
+class ImageScaleBy:
+    upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "image": ("IMAGE",), "upscale_method": (s.upscale_methods,),
+                              "scale_by": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 8.0, "step": 0.01}),}}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "upscale"
+
+    CATEGORY = "image/upscaling"
+
+    def upscale(self, image, upscale_method, scale_by):
+        samples = image.movedim(-1,1)
+        width = round(samples.shape[3] * scale_by)
+        height = round(samples.shape[2] * scale_by)
+        s = comfy.utils.common_upscale(samples, width, height, upscale_method, "disabled")
+        s = s.movedim(1,-1)
+        return (s,)
+
+class ImageInvert:
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "image": ("IMAGE",)}}
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "invert"
+
+    CATEGORY = "image"
+
+    def invert(self, image):
+        s = 1.0 - image
+        return (s,)
+
+class ImageBatch:
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "image1": ("IMAGE",), "image2": ("IMAGE",)}}
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "batch"
+
+    CATEGORY = "image"
+
+    def batch(self, image1, image2):
+        if image1.shape[1:] != image2.shape[1:]:
+            image2 = comfy.utils.common_upscale(image2.movedim(-1,1), image1.shape[2], image1.shape[1], "bilinear", "center").movedim(1,-1)
+        s = torch.cat((image1, image2), dim=0)
+        return (s,)
+
+class EmptyImage:
+    def __init__(self, device="cpu"):
+        self.device = device
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "width": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}),
+                              "height": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              "color": ("INT", {"default": 0, "min": 0, "max": 0xFFFFFF, "step": 1, "display": "color"}),
+                              }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "generate"
+
+    CATEGORY = "image"
+
+    def generate(self, width, height, batch_size=1, color=0):
+        r = torch.full([batch_size, height, width, 1], ((color >> 16) & 0xFF) / 0xFF)
+        g = torch.full([batch_size, height, width, 1], ((color >> 8) & 0xFF) / 0xFF)
+        b = torch.full([batch_size, height, width, 1], ((color) & 0xFF) / 0xFF)
+        return (torch.cat((r, g, b), dim=-1), )
+
+class ImagePadForOutpaint:
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "left": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "top": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "right": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "bottom": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}),
+                "feathering": ("INT", {"default": 40, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    FUNCTION = "expand_image"
+
+    CATEGORY = "image"
+
+    def expand_image(self, image, left, top, right, bottom, feathering):
+        d1, d2, d3, d4 = image.size()
+
+        new_image = torch.ones(
+            (d1, d2 + top + bottom, d3 + left + right, d4),
+            dtype=torch.float32,
+        ) * 0.5
+
+        new_image[:, top:top + d2, left:left + d3, :] = image
+
+        mask = torch.ones(
+            (d2 + top + bottom, d3 + left + right),
+            dtype=torch.float32,
+        )
+
+        t = torch.zeros(
+            (d2, d3),
+            dtype=torch.float32
+        )
+
+        if feathering > 0 and feathering * 2 < d2 and feathering * 2 < d3:
+
+            for i in range(d2):
+                for j in range(d3):
+                    dt = i if top != 0 else d2
+                    db = d2 - i if bottom != 0 else d2
+
+                    dl = j if left != 0 else d3
+                    dr = d3 - j if right != 0 else d3
+
+                    d = min(dt, db, dl, dr)
+
+                    if d >= feathering:
+                        continue
+
+                    v = (feathering - d) / feathering
+
+                    t[i, j] = v * v
+
+        mask[top:top + d2, left:left + d3] = t
+
+        return (new_image, mask)
+
+
+NODE_CLASS_MAPPINGS = {
+    "KSampler": KSampler,
+    "CheckpointLoaderSimple": CheckpointLoaderSimple,
+    "CLIPTextEncode": CLIPTextEncode,
+    "CLIPSetLastLayer": CLIPSetLastLayer,
+    "VAEDecode": VAEDecode,
+    "VAEEncode": VAEEncode,
+    "VAEEncodeForInpaint": VAEEncodeForInpaint,
+    "VAELoader": VAELoader,
+    "EmptyLatentImage": EmptyLatentImage,
+    "LatentUpscale": LatentUpscale,
+    "LatentUpscaleBy": LatentUpscaleBy,
+    "LatentFromBatch": LatentFromBatch,
+    "RepeatLatentBatch": RepeatLatentBatch,
+    "SaveImage": SaveImage,
+    "PreviewImage": PreviewImage,
+    "LoadImage": LoadImage,
+    "LoadImageMask": LoadImageMask,
+    "ImageScale": ImageScale,
+    "ImageScaleBy": ImageScaleBy,
+    "ImageInvert": ImageInvert,
+    "ImageBatch": ImageBatch,
+    "ImagePadForOutpaint": ImagePadForOutpaint,
+    "EmptyImage": EmptyImage,
+    "ConditioningAverage": ConditioningAverage ,
+    "ConditioningCombine": ConditioningCombine,
+    "ConditioningConcat": ConditioningConcat,
+    "ConditioningSetArea": ConditioningSetArea,
+    "ConditioningSetAreaPercentage": ConditioningSetAreaPercentage,
+    "ConditioningSetAreaStrength": ConditioningSetAreaStrength,
+    "ConditioningSetMask": ConditioningSetMask,
+    "KSamplerAdvanced": KSamplerAdvanced,
+    "SetLatentNoiseMask": SetLatentNoiseMask,
+    "LatentComposite": LatentComposite,
+    "LatentBlend": LatentBlend,
+    "LatentRotate": LatentRotate,
+    "LatentFlip": LatentFlip,
+    "LatentCrop": LatentCrop,
+    "LoraLoader": LoraLoader,
+    "CLIPLoader": CLIPLoader,
+    "UNETLoader": UNETLoader,
+    "DualCLIPLoader": DualCLIPLoader,
+    "CLIPVisionEncode": CLIPVisionEncode,
+    "StyleModelApply": StyleModelApply,
+    "unCLIPConditioning": unCLIPConditioning,
+    "ControlNetApply": ControlNetApply,
+    "ControlNetApplyAdvanced": ControlNetApplyAdvanced,
+    "ControlNetLoader": ControlNetLoader,
+    "DiffControlNetLoader": DiffControlNetLoader,
+    "StyleModelLoader": StyleModelLoader,
+    "CLIPVisionLoader": CLIPVisionLoader,
+    "VAEDecodeTiled": VAEDecodeTiled,
+    "VAEEncodeTiled": VAEEncodeTiled,
+    "unCLIPCheckpointLoader": unCLIPCheckpointLoader,
+    "GLIGENLoader": GLIGENLoader,
+    "GLIGENTextBoxApply": GLIGENTextBoxApply,
+    "InpaintModelConditioning": InpaintModelConditioning,
+
+    "CheckpointLoader": CheckpointLoader,
+    "DiffusersLoader": DiffusersLoader,
+
+    "LoadLatent": LoadLatent,
+    "SaveLatent": SaveLatent,
+
+    "ConditioningZeroOut": ConditioningZeroOut,
+    "ConditioningSetTimestepRange": ConditioningSetTimestepRange,
+    "LoraLoaderModelOnly": LoraLoaderModelOnly,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    # Sampling
+    "KSampler": "KSampler",
+    "KSamplerAdvanced": "KSampler (Advanced)",
+    # Loaders
+    "CheckpointLoader": "Load Checkpoint With Config (DEPRECATED)",
+    "CheckpointLoaderSimple": "Load Checkpoint",
+    "VAELoader": "Load VAE",
+    "LoraLoader": "Load LoRA",
+    "CLIPLoader": "Load CLIP",
+    "ControlNetLoader": "Load ControlNet Model",
+    "DiffControlNetLoader": "Load ControlNet Model (diff)",
+    "StyleModelLoader": "Load Style Model",
+    "CLIPVisionLoader": "Load CLIP Vision",
+    "UpscaleModelLoader": "Load Upscale Model",
+    "UNETLoader": "Load Diffusion Model",
+    # Conditioning
+    "CLIPVisionEncode": "CLIP Vision Encode",
+    "StyleModelApply": "Apply Style Model",
+    "CLIPTextEncode": "CLIP Text Encode (Prompt)",
+    "CLIPSetLastLayer": "CLIP Set Last Layer",
+    "ConditioningCombine": "Conditioning (Combine)",
+    "ConditioningAverage ": "Conditioning (Average)",
+    "ConditioningConcat": "Conditioning (Concat)",
+    "ConditioningSetArea": "Conditioning (Set Area)",
+    "ConditioningSetAreaPercentage": "Conditioning (Set Area with Percentage)",
+    "ConditioningSetMask": "Conditioning (Set Mask)",
+    "ControlNetApply": "Apply ControlNet",
+    "ControlNetApplyAdvanced": "Apply ControlNet (Advanced)",
+    # Latent
+    "VAEEncodeForInpaint": "VAE Encode (for Inpainting)",
+    "SetLatentNoiseMask": "Set Latent Noise Mask",
+    "VAEDecode": "VAE Decode",
+    "VAEEncode": "VAE Encode",
+    "LatentRotate": "Rotate Latent",
+    "LatentFlip": "Flip Latent",
+    "LatentCrop": "Crop Latent",
+    "EmptyLatentImage": "Empty Latent Image",
+    "LatentUpscale": "Upscale Latent",
+    "LatentUpscaleBy": "Upscale Latent By",
+    "LatentComposite": "Latent Composite",
+    "LatentBlend": "Latent Blend",
+    "LatentFromBatch" : "Latent From Batch",
+    "RepeatLatentBatch": "Repeat Latent Batch",
+    # Image
+    "SaveImage": "Save Image",
+    "PreviewImage": "Preview Image",
+    "LoadImage": "Load Image",
+    "LoadImageMask": "Load Image (as Mask)",
+    "ImageScale": "Upscale Image",
+    "ImageScaleBy": "Upscale Image By",
+    "ImageUpscaleWithModel": "Upscale Image (using Model)",
+    "ImageInvert": "Invert Image",
+    "ImagePadForOutpaint": "Pad Image for Outpainting",
+    "ImageBatch": "Batch Images",
+    # _for_testing
+    "VAEDecodeTiled": "VAE Decode (Tiled)",
+    "VAEEncodeTiled": "VAE Encode (Tiled)",
+}
+
+EXTENSION_WEB_DIRS = {}
+
+
+def get_module_name(module_path: str) -> str:
+    """
+    Returns the module name based on the given module path.
+    Examples:
+        get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node.py") -> "my_custom_node"
+        get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node") -> "my_custom_node"
+        get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node/") -> "my_custom_node"
+        get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node/__init__.py") -> "my_custom_node"
+        get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node/__init__") -> "my_custom_node"
+        get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node/__init__/") -> "my_custom_node"
+        get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node.disabled") -> "custom_nodes
+    Args:
+        module_path (str): The path of the module.
+    Returns:
+        str: The module name.
+    """
+    base_path = os.path.basename(module_path)
+    if os.path.isfile(module_path):
+        base_path = os.path.splitext(base_path)[0]
+    return base_path
+
+
+def load_custom_node(module_path: str, ignore=set(), module_parent="custom_nodes") -> bool:
+    module_name = os.path.basename(module_path)
+    if os.path.isfile(module_path):
+        sp = os.path.splitext(module_path)
+        module_name = sp[0]
+    try:
+        logging.debug("Trying to load custom node {}".format(module_path))
+        if os.path.isfile(module_path):
+            module_spec = importlib.util.spec_from_file_location(module_name, module_path)
+            module_dir = os.path.split(module_path)[0]
+        else:
+            module_spec = importlib.util.spec_from_file_location(module_name, os.path.join(module_path, "__init__.py"))
+            module_dir = module_path
+
+        module = importlib.util.module_from_spec(module_spec)
+        sys.modules[module_name] = module
+        module_spec.loader.exec_module(module)
+
+        if hasattr(module, "WEB_DIRECTORY") and getattr(module, "WEB_DIRECTORY") is not None:
+            web_dir = os.path.abspath(os.path.join(module_dir, getattr(module, "WEB_DIRECTORY")))
+            if os.path.isdir(web_dir):
+                EXTENSION_WEB_DIRS[module_name] = web_dir
+
+        if hasattr(module, "NODE_CLASS_MAPPINGS") and getattr(module, "NODE_CLASS_MAPPINGS") is not None:
+            for name, node_cls in module.NODE_CLASS_MAPPINGS.items():
+                if name not in ignore:
+                    NODE_CLASS_MAPPINGS[name] = node_cls
+                    node_cls.RELATIVE_PYTHON_MODULE = "{}.{}".format(module_parent, get_module_name(module_path))
+            if hasattr(module, "NODE_DISPLAY_NAME_MAPPINGS") and getattr(module, "NODE_DISPLAY_NAME_MAPPINGS") is not None:
+                NODE_DISPLAY_NAME_MAPPINGS.update(module.NODE_DISPLAY_NAME_MAPPINGS)
+            return True
+        else:
+            logging.warning(f"Skip {module_path} module for custom nodes due to the lack of NODE_CLASS_MAPPINGS.")
+            return False
+    except Exception as e:
+        logging.warning(traceback.format_exc())
+        logging.warning(f"Cannot import {module_path} module for custom nodes: {e}")
+        return False
+
+def init_external_custom_nodes():
+    """
+    Initializes the external custom nodes.
+
+    This function loads custom nodes from the specified folder paths and imports them into the application.
+    It measures the import times for each custom node and logs the results.
+
+    Returns:
+        None
+    """
+    base_node_names = set(NODE_CLASS_MAPPINGS.keys())
+    node_paths = folder_paths.get_folder_paths("custom_nodes")
+    node_import_times = []
+    for custom_node_path in node_paths:
+        possible_modules = os.listdir(os.path.realpath(custom_node_path))
+        if "__pycache__" in possible_modules:
+            possible_modules.remove("__pycache__")
+
+        for possible_module in possible_modules:
+            module_path = os.path.join(custom_node_path, possible_module)
+            if os.path.isfile(module_path) and os.path.splitext(module_path)[1] != ".py": continue
+            if module_path.endswith(".disabled"): continue
+            time_before = time.perf_counter()
+            success = load_custom_node(module_path, base_node_names, module_parent="custom_nodes")
+            node_import_times.append((time.perf_counter() - time_before, module_path, success))
+
+    if len(node_import_times) > 0:
+        logging.info("\nImport times for custom nodes:")
+        for n in sorted(node_import_times):
+            if n[2]:
+                import_message = ""
+            else:
+                import_message = " (IMPORT FAILED)"
+            logging.info("{:6.1f} seconds{}: {}".format(n[0], import_message, n[1]))
+        logging.info("")
+
+def init_builtin_extra_nodes():
+    """
+    Initializes the built-in extra nodes in ComfyUI.
+
+    This function loads the extra node files located in the "comfy_extras" directory and imports them into ComfyUI.
+    If any of the extra node files fail to import, a warning message is logged.
+
+    Returns:
+        None
+    """
+    extras_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy_extras")
+    extras_files = [
+        "nodes_latent.py",
+        "nodes_hypernetwork.py",
+        "nodes_upscale_model.py",
+        "nodes_post_processing.py",
+        "nodes_mask.py",
+        "nodes_compositing.py",
+        "nodes_rebatch.py",
+        "nodes_model_merging.py",
+        "nodes_tomesd.py",
+        "nodes_clip_sdxl.py",
+        "nodes_canny.py",
+        "nodes_freelunch.py",
+        "nodes_custom_sampler.py",
+        "nodes_hypertile.py",
+        "nodes_model_advanced.py",
+        "nodes_model_downscale.py",
+        "nodes_images.py",
+        "nodes_video_model.py",
+        "nodes_sag.py",
+        "nodes_perpneg.py",
+        "nodes_stable3d.py",
+        "nodes_sdupscale.py",
+        "nodes_photomaker.py",
+        "nodes_cond.py",
+        "nodes_morphology.py",
+        "nodes_stable_cascade.py",
+        "nodes_differential_diffusion.py",
+        "nodes_ip2p.py",
+        "nodes_model_merging_model_specific.py",
+        "nodes_pag.py",
+        "nodes_align_your_steps.py",
+        "nodes_attention_multiply.py",
+        "nodes_advanced_samplers.py",
+        "nodes_webcam.py",
+        "nodes_audio.py",
+        "nodes_sd3.py",
+        "nodes_gits.py",
+        "nodes_controlnet.py",
+        "nodes_hunyuan.py",
+        "nodes_flux.py",
+    ]
+
+    import_failed = []
+    for node_file in extras_files:
+        if not load_custom_node(os.path.join(extras_dir, node_file), module_parent="comfy_extras"):
+            import_failed.append(node_file)
+
+    return import_failed
+
+
+def init_extra_nodes(init_custom_nodes=True):
+    import_failed = init_builtin_extra_nodes()
+
+    if init_custom_nodes:
+        init_external_custom_nodes()
+    else:
+        logging.info("Skipping loading of custom nodes")
+
+    if len(import_failed) > 0:
+        logging.warning("WARNING: some comfy_extras/ nodes did not import correctly. This may be because they are missing some dependencies.\n")
+        for node in import_failed:
+            logging.warning("IMPORT FAILED: {}".format(node))
+        logging.warning("\nThis issue might be caused by new missing dependencies added the last time you updated ComfyUI.")
+        if args.windows_standalone_build:
+            logging.warning("Please run the update script: update/update_comfyui.bat")
+        else:
+            logging.warning("Please do a: pip install -r requirements.txt")
+        logging.warning("")
+    
+    return import_failed
diff --git a/ComfyUI/notebooks/comfyui_colab.ipynb b/ComfyUI/notebooks/comfyui_colab.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..b1ed4ac9afa8e6fcc154c5e15a7e49526de4066a
--- /dev/null
+++ b/ComfyUI/notebooks/comfyui_colab.ipynb
@@ -0,0 +1,329 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "aaaaaaaaaa"
+      },
+      "source": [
+        "Git clone the repo and install the requirements. (ignore the pip errors about protobuf)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "bbbbbbbbbb"
+      },
+      "outputs": [],
+      "source": [
+        "#@title Environment Setup\n",
+        "\n",
+        "from pathlib import Path\n",
+        "\n",
+        "OPTIONS = {}\n",
+        "\n",
+        "USE_GOOGLE_DRIVE = False  #@param {type:\"boolean\"}\n",
+        "UPDATE_COMFY_UI = True  #@param {type:\"boolean\"}\n",
+        "WORKSPACE = 'ComfyUI'\n",
+        "OPTIONS['USE_GOOGLE_DRIVE'] = USE_GOOGLE_DRIVE\n",
+        "OPTIONS['UPDATE_COMFY_UI'] = UPDATE_COMFY_UI\n",
+        "\n",
+        "if OPTIONS['USE_GOOGLE_DRIVE']:\n",
+        "    !echo \"Mounting Google Drive...\"\n",
+        "    %cd /\n",
+        "    \n",
+        "    from google.colab import drive\n",
+        "    drive.mount('/content/drive')\n",
+        "\n",
+        "    WORKSPACE = \"/content/drive/MyDrive/ComfyUI\"\n",
+        "    %cd /content/drive/MyDrive\n",
+        "\n",
+        "![ ! -d $WORKSPACE ] && echo -= Initial setup ComfyUI =- && git clone https://github.com/comfyanonymous/ComfyUI\n",
+        "%cd $WORKSPACE\n",
+        "\n",
+        "if OPTIONS['UPDATE_COMFY_UI']:\n",
+        "  !echo -= Updating ComfyUI =-\n",
+        "  !git pull\n",
+        "\n",
+        "!echo -= Install dependencies =-\n",
+        "!pip install xformers!=0.0.18 -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu121 --extra-index-url https://download.pytorch.org/whl/cu118 --extra-index-url https://download.pytorch.org/whl/cu117"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "cccccccccc"
+      },
+      "source": [
+        "Download some models/checkpoints/vae or custom comfyui nodes (uncomment the commands for the ones you want)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "dddddddddd"
+      },
+      "outputs": [],
+      "source": [
+        "# Checkpoints\n",
+        "\n",
+        "### SDXL\n",
+        "### I recommend these workflow examples: https://comfyanonymous.github.io/ComfyUI_examples/sdxl/\n",
+        "\n",
+        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "# SDXL ReVision\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/clip_vision_g/resolve/main/clip_vision_g.safetensors -P ./models/clip_vision/\n",
+        "\n",
+        "# SD1.5\n",
+        "!wget -c https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/resolve/main/v1-5-pruned-emaonly-fp16.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "# SD2\n",
+        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/v2-1_512-ema-pruned.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "# Some SD1.5 anime style\n",
+        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix2/AbyssOrangeMix2_hard.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A1_orangemixs.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A3_orangemixs.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/Linaqruf/anything-v3.0/resolve/main/anything-v3-fp16-pruned.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "# Waifu Diffusion 1.5 (anime style SD2.x 768-v)\n",
+        "#!wget -c https://huggingface.co/waifu-diffusion/wd-1-5-beta3/resolve/main/wd-illusion-fp16.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "\n",
+        "# unCLIP models\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/illuminatiDiffusionV1_v11_unCLIP/resolve/main/illuminatiDiffusionV1_v11-unclip-h-fp16.safetensors -P ./models/checkpoints/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/wd-1.5-beta2_unCLIP/resolve/main/wd-1-5-beta2-aesthetic-unclip-h-fp16.safetensors -P ./models/checkpoints/\n",
+        "\n",
+        "\n",
+        "# VAE\n",
+        "!wget -c https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors -P ./models/vae/\n",
+        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/VAEs/orangemix.vae.pt -P ./models/vae/\n",
+        "#!wget -c https://huggingface.co/hakurei/waifu-diffusion-v1-4/resolve/main/vae/kl-f8-anime2.ckpt -P ./models/vae/\n",
+        "\n",
+        "\n",
+        "# Loras\n",
+        "#!wget -c https://civitai.com/api/download/models/10350 -O ./models/loras/theovercomer8sContrastFix_sd21768.safetensors #theovercomer8sContrastFix SD2.x 768-v\n",
+        "#!wget -c https://civitai.com/api/download/models/10638 -O ./models/loras/theovercomer8sContrastFix_sd15.safetensors #theovercomer8sContrastFix SD1.x\n",
+        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors -P ./models/loras/ #SDXL offset noise lora\n",
+        "\n",
+        "\n",
+        "# T2I-Adapter\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_depth_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_seg_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_sketch_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_keypose_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_openpose_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_color_sd14v1.pth -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_canny_sd14v1.pth -P ./models/controlnet/\n",
+        "\n",
+        "# T2I Styles Model\n",
+        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_style_sd14v1.pth -P ./models/style_models/\n",
+        "\n",
+        "# CLIPVision model (needed for styles model)\n",
+        "#!wget -c https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/pytorch_model.bin -O ./models/clip_vision/clip_vit14.bin\n",
+        "\n",
+        "\n",
+        "# ControlNet\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_canny_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_lineart_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_openpose_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_scribble_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_seg_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_softedge_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11u_sd15_tile_fp16.safetensors -P ./models/controlnet/\n",
+        "\n",
+        "# ControlNet SDXL\n",
+        "#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-canny-rank256.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-depth-rank256.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-recolor-rank256.safetensors -P ./models/controlnet/\n",
+        "#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-sketch-rank256.safetensors -P ./models/controlnet/\n",
+        "\n",
+        "# Controlnet Preprocessor nodes by Fannovel16\n",
+        "#!cd custom_nodes && git clone https://github.com/Fannovel16/comfy_controlnet_preprocessors; cd comfy_controlnet_preprocessors && python install.py\n",
+        "\n",
+        "\n",
+        "# GLIGEN\n",
+        "#!wget -c https://huggingface.co/comfyanonymous/GLIGEN_pruned_safetensors/resolve/main/gligen_sd14_textbox_pruned_fp16.safetensors -P ./models/gligen/\n",
+        "\n",
+        "\n",
+        "# ESRGAN upscale model\n",
+        "#!wget -c https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -P ./models/upscale_models/\n",
+        "#!wget -c https://huggingface.co/sberbank-ai/Real-ESRGAN/resolve/main/RealESRGAN_x2.pth -P ./models/upscale_models/\n",
+        "#!wget -c https://huggingface.co/sberbank-ai/Real-ESRGAN/resolve/main/RealESRGAN_x4.pth -P ./models/upscale_models/\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "kkkkkkkkkkkkkkk"
+      },
+      "source": [
+        "### Run ComfyUI with cloudflared (Recommended Way)\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "jjjjjjjjjjjjjj"
+      },
+      "outputs": [],
+      "source": [
+        "!wget https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64.deb\n",
+        "!dpkg -i cloudflared-linux-amd64.deb\n",
+        "\n",
+        "import subprocess\n",
+        "import threading\n",
+        "import time\n",
+        "import socket\n",
+        "import urllib.request\n",
+        "\n",
+        "def iframe_thread(port):\n",
+        "  while True:\n",
+        "      time.sleep(0.5)\n",
+        "      sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
+        "      result = sock.connect_ex(('127.0.0.1', port))\n",
+        "      if result == 0:\n",
+        "        break\n",
+        "      sock.close()\n",
+        "  print(\"\\nComfyUI finished loading, trying to launch cloudflared (if it gets stuck here cloudflared is having issues)\\n\")\n",
+        "\n",
+        "  p = subprocess.Popen([\"cloudflared\", \"tunnel\", \"--url\", \"http://127.0.0.1:{}\".format(port)], stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n",
+        "  for line in p.stderr:\n",
+        "    l = line.decode()\n",
+        "    if \"trycloudflare.com \" in l:\n",
+        "      print(\"This is the URL to access ComfyUI:\", l[l.find(\"http\"):], end='')\n",
+        "    #print(l, end='')\n",
+        "\n",
+        "\n",
+        "threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
+        "\n",
+        "!python main.py --dont-print-server"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "kkkkkkkkkkkkkk"
+      },
+      "source": [
+        "### Run ComfyUI with localtunnel\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "jjjjjjjjjjjjj"
+      },
+      "outputs": [],
+      "source": [
+        "!npm install -g localtunnel\n",
+        "\n",
+        "import subprocess\n",
+        "import threading\n",
+        "import time\n",
+        "import socket\n",
+        "import urllib.request\n",
+        "\n",
+        "def iframe_thread(port):\n",
+        "  while True:\n",
+        "      time.sleep(0.5)\n",
+        "      sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
+        "      result = sock.connect_ex(('127.0.0.1', port))\n",
+        "      if result == 0:\n",
+        "        break\n",
+        "      sock.close()\n",
+        "  print(\"\\nComfyUI finished loading, trying to launch localtunnel (if it gets stuck here localtunnel is having issues)\\n\")\n",
+        "\n",
+        "  print(\"The password/enpoint ip for localtunnel is:\", urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\"))\n",
+        "  p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE)\n",
+        "  for line in p.stdout:\n",
+        "    print(line.decode(), end='')\n",
+        "\n",
+        "\n",
+        "threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
+        "\n",
+        "!python main.py --dont-print-server"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "gggggggggg"
+      },
+      "source": [
+        "### Run ComfyUI with colab iframe (use only in case the previous way with localtunnel doesn't work)\n",
+        "\n",
+        "You should see the ui appear in an iframe. If you get a 403 error, it's your firefox settings or an extension that's messing things up.\n",
+        "\n",
+        "If you want to open it in another window use the link.\n",
+        "\n",
+        "Note that some UI features like live image previews won't work because the colab iframe blocks websockets."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "hhhhhhhhhh"
+      },
+      "outputs": [],
+      "source": [
+        "import threading\n",
+        "import time\n",
+        "import socket\n",
+        "def iframe_thread(port):\n",
+        "  while True:\n",
+        "      time.sleep(0.5)\n",
+        "      sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
+        "      result = sock.connect_ex(('127.0.0.1', port))\n",
+        "      if result == 0:\n",
+        "        break\n",
+        "      sock.close()\n",
+        "  from google.colab import output\n",
+        "  output.serve_kernel_port_as_iframe(port, height=1024)\n",
+        "  print(\"to open it in a window you can open this link here:\")\n",
+        "  output.serve_kernel_port_as_window(port)\n",
+        "\n",
+        "threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
+        "\n",
+        "!python main.py --dont-print-server"
+      ]
+    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "provenance": []
+    },
+    "gpuClass": "standard",
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79669421b1a63a63ed2d383cc0d48b67ad9fce8903e6657a2e370ad1424a2dc4
+size 3369397
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f78b7c58bd66c938cc0f582baaa5292ce50b475d083ee2a167638e1617bf384
+size 3369397
diff --git a/ComfyUI/pytest.ini b/ComfyUI/pytest.ini
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index 0000000000000000000000000000000000000000..a224d8cbb5511cf6be0c0cf75ae92268339e11d6
--- /dev/null
+++ b/ComfyUI/pytest.ini
@@ -0,0 +1,9 @@
+[pytest]
+markers = 
+  inference: mark as inference test (deselect with '-m "not inference"')
+  execution: mark as execution test (deselect with '-m "not execution"')
+testpaths =
+  tests
+  tests-unit
+addopts = -s
+pythonpath = .
diff --git a/ComfyUI/requirements.txt b/ComfyUI/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4c2c0b2b221509d495528e2a30b83c857c8bc1a6
--- /dev/null
+++ b/ComfyUI/requirements.txt
@@ -0,0 +1,20 @@
+torch
+torchsde
+torchvision
+torchaudio
+einops
+transformers>=4.28.1
+tokenizers>=0.13.3
+sentencepiece
+safetensors>=0.4.2
+aiohttp
+pyyaml
+Pillow
+scipy
+tqdm
+psutil
+
+#non essential dependencies:
+kornia>=0.7.1
+spandrel
+soundfile
diff --git a/ComfyUI/script_examples/basic_api_example.py b/ComfyUI/script_examples/basic_api_example.py
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index 0000000000000000000000000000000000000000..bc8ad71341083f56c28c769601c6fd4df20eb04b
--- /dev/null
+++ b/ComfyUI/script_examples/basic_api_example.py
@@ -0,0 +1,120 @@
+import json
+from urllib import request, parse
+import random
+
+#This is the ComfyUI api prompt format.
+
+#If you want it for a specific workflow you can "enable dev mode options"
+#in the settings of the UI (gear beside the "Queue Size: ") this will enable
+#a button on the UI to save workflows in api format.
+
+#keep in mind ComfyUI is pre alpha software so this format will change a bit.
+
+#this is the one for the default workflow
+prompt_text = """
+{
+    "3": {
+        "class_type": "KSampler",
+        "inputs": {
+            "cfg": 8,
+            "denoise": 1,
+            "latent_image": [
+                "5",
+                0
+            ],
+            "model": [
+                "4",
+                0
+            ],
+            "negative": [
+                "7",
+                0
+            ],
+            "positive": [
+                "6",
+                0
+            ],
+            "sampler_name": "euler",
+            "scheduler": "normal",
+            "seed": 8566257,
+            "steps": 20
+        }
+    },
+    "4": {
+        "class_type": "CheckpointLoaderSimple",
+        "inputs": {
+            "ckpt_name": "v1-5-pruned-emaonly.safetensors"
+        }
+    },
+    "5": {
+        "class_type": "EmptyLatentImage",
+        "inputs": {
+            "batch_size": 1,
+            "height": 512,
+            "width": 512
+        }
+    },
+    "6": {
+        "class_type": "CLIPTextEncode",
+        "inputs": {
+            "clip": [
+                "4",
+                1
+            ],
+            "text": "masterpiece best quality girl"
+        }
+    },
+    "7": {
+        "class_type": "CLIPTextEncode",
+        "inputs": {
+            "clip": [
+                "4",
+                1
+            ],
+            "text": "bad hands"
+        }
+    },
+    "8": {
+        "class_type": "VAEDecode",
+        "inputs": {
+            "samples": [
+                "3",
+                0
+            ],
+            "vae": [
+                "4",
+                2
+            ]
+        }
+    },
+    "9": {
+        "class_type": "SaveImage",
+        "inputs": {
+            "filename_prefix": "ComfyUI",
+            "images": [
+                "8",
+                0
+            ]
+        }
+    }
+}
+"""
+
+def queue_prompt(prompt):
+    p = {"prompt": prompt}
+    data = json.dumps(p).encode('utf-8')
+    req =  request.Request("http://127.0.0.1:8188/prompt", data=data)
+    request.urlopen(req)
+
+
+prompt = json.loads(prompt_text)
+#set the text prompt for our positive CLIPTextEncode
+prompt["6"]["inputs"]["text"] = "masterpiece best quality man"
+
+#set the seed for our KSampler node
+prompt["3"]["inputs"]["seed"] = 5
+
+
+queue_prompt(prompt)
+
+
diff --git a/ComfyUI/script_examples/websockets_api_example.py b/ComfyUI/script_examples/websockets_api_example.py
new file mode 100644
index 0000000000000000000000000000000000000000..62afc869c41247f8a0bca8ba80cbf5808b4a72b6
--- /dev/null
+++ b/ComfyUI/script_examples/websockets_api_example.py
@@ -0,0 +1,163 @@
+#This is an example that uses the websockets api to know when a prompt execution is done
+#Once the prompt execution is done it downloads the images using the /history endpoint
+
+import websocket #NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
+import uuid
+import json
+import urllib.request
+import urllib.parse
+
+server_address = "127.0.0.1:8188"
+client_id = str(uuid.uuid4())
+
+def queue_prompt(prompt):
+    p = {"prompt": prompt, "client_id": client_id}
+    data = json.dumps(p).encode('utf-8')
+    req =  urllib.request.Request("http://{}/prompt".format(server_address), data=data)
+    return json.loads(urllib.request.urlopen(req).read())
+
+def get_image(filename, subfolder, folder_type):
+    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
+    url_values = urllib.parse.urlencode(data)
+    with urllib.request.urlopen("http://{}/view?{}".format(server_address, url_values)) as response:
+        return response.read()
+
+def get_history(prompt_id):
+    with urllib.request.urlopen("http://{}/history/{}".format(server_address, prompt_id)) as response:
+        return json.loads(response.read())
+
+def get_images(ws, prompt):
+    prompt_id = queue_prompt(prompt)['prompt_id']
+    output_images = {}
+    while True:
+        out = ws.recv()
+        if isinstance(out, str):
+            message = json.loads(out)
+            if message['type'] == 'executing':
+                data = message['data']
+                if data['node'] is None and data['prompt_id'] == prompt_id:
+                    break #Execution is done
+        else:
+            continue #previews are binary data
+
+    history = get_history(prompt_id)[prompt_id]
+    for node_id in history['outputs']:
+        node_output = history['outputs'][node_id]
+        images_output = []
+        if 'images' in node_output:
+            for image in node_output['images']:
+                image_data = get_image(image['filename'], image['subfolder'], image['type'])
+                images_output.append(image_data)
+        output_images[node_id] = images_output
+
+    return output_images
+
+prompt_text = """
+{
+    "3": {
+        "class_type": "KSampler",
+        "inputs": {
+            "cfg": 8,
+            "denoise": 1,
+            "latent_image": [
+                "5",
+                0
+            ],
+            "model": [
+                "4",
+                0
+            ],
+            "negative": [
+                "7",
+                0
+            ],
+            "positive": [
+                "6",
+                0
+            ],
+            "sampler_name": "euler",
+            "scheduler": "normal",
+            "seed": 8566257,
+            "steps": 20
+        }
+    },
+    "4": {
+        "class_type": "CheckpointLoaderSimple",
+        "inputs": {
+            "ckpt_name": "v1-5-pruned-emaonly.safetensors"
+        }
+    },
+    "5": {
+        "class_type": "EmptyLatentImage",
+        "inputs": {
+            "batch_size": 1,
+            "height": 512,
+            "width": 512
+        }
+    },
+    "6": {
+        "class_type": "CLIPTextEncode",
+        "inputs": {
+            "clip": [
+                "4",
+                1
+            ],
+            "text": "masterpiece best quality girl"
+        }
+    },
+    "7": {
+        "class_type": "CLIPTextEncode",
+        "inputs": {
+            "clip": [
+                "4",
+                1
+            ],
+            "text": "bad hands"
+        }
+    },
+    "8": {
+        "class_type": "VAEDecode",
+        "inputs": {
+            "samples": [
+                "3",
+                0
+            ],
+            "vae": [
+                "4",
+                2
+            ]
+        }
+    },
+    "9": {
+        "class_type": "SaveImage",
+        "inputs": {
+            "filename_prefix": "ComfyUI",
+            "images": [
+                "8",
+                0
+            ]
+        }
+    }
+}
+"""
+
+prompt = json.loads(prompt_text)
+#set the text prompt for our positive CLIPTextEncode
+prompt["6"]["inputs"]["text"] = "masterpiece best quality man"
+
+#set the seed for our KSampler node
+prompt["3"]["inputs"]["seed"] = 5
+
+ws = websocket.WebSocket()
+ws.connect("ws://{}/ws?clientId={}".format(server_address, client_id))
+images = get_images(ws, prompt)
+
+#Commented out code to display the output images:
+
+# for node_id in images:
+#     for image_data in images[node_id]:
+#         from PIL import Image
+#         import io
+#         image = Image.open(io.BytesIO(image_data))
+#         image.show()
+
diff --git a/ComfyUI/script_examples/websockets_api_example_ws_images.py b/ComfyUI/script_examples/websockets_api_example_ws_images.py
new file mode 100644
index 0000000000000000000000000000000000000000..b37d9893ddb4cbbceeebdb0ad67102247ed57447
--- /dev/null
+++ b/ComfyUI/script_examples/websockets_api_example_ws_images.py
@@ -0,0 +1,159 @@
+#This is an example that uses the websockets api and the SaveImageWebsocket node to get images directly without
+#them being saved to disk
+
+import websocket #NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
+import uuid
+import json
+import urllib.request
+import urllib.parse
+
+server_address = "127.0.0.1:8188"
+client_id = str(uuid.uuid4())
+
+def queue_prompt(prompt):
+    p = {"prompt": prompt, "client_id": client_id}
+    data = json.dumps(p).encode('utf-8')
+    req =  urllib.request.Request("http://{}/prompt".format(server_address), data=data)
+    return json.loads(urllib.request.urlopen(req).read())
+
+def get_image(filename, subfolder, folder_type):
+    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
+    url_values = urllib.parse.urlencode(data)
+    with urllib.request.urlopen("http://{}/view?{}".format(server_address, url_values)) as response:
+        return response.read()
+
+def get_history(prompt_id):
+    with urllib.request.urlopen("http://{}/history/{}".format(server_address, prompt_id)) as response:
+        return json.loads(response.read())
+
+def get_images(ws, prompt):
+    prompt_id = queue_prompt(prompt)['prompt_id']
+    output_images = {}
+    current_node = ""
+    while True:
+        out = ws.recv()
+        if isinstance(out, str):
+            message = json.loads(out)
+            if message['type'] == 'executing':
+                data = message['data']
+                if data['prompt_id'] == prompt_id:
+                    if data['node'] is None:
+                        break #Execution is done
+                    else:
+                        current_node = data['node']
+        else:
+            if current_node == 'save_image_websocket_node':
+                images_output = output_images.get(current_node, [])
+                images_output.append(out[8:])
+                output_images[current_node] = images_output
+
+    return output_images
+
+prompt_text = """
+{
+    "3": {
+        "class_type": "KSampler",
+        "inputs": {
+            "cfg": 8,
+            "denoise": 1,
+            "latent_image": [
+                "5",
+                0
+            ],
+            "model": [
+                "4",
+                0
+            ],
+            "negative": [
+                "7",
+                0
+            ],
+            "positive": [
+                "6",
+                0
+            ],
+            "sampler_name": "euler",
+            "scheduler": "normal",
+            "seed": 8566257,
+            "steps": 20
+        }
+    },
+    "4": {
+        "class_type": "CheckpointLoaderSimple",
+        "inputs": {
+            "ckpt_name": "v1-5-pruned-emaonly.safetensors"
+        }
+    },
+    "5": {
+        "class_type": "EmptyLatentImage",
+        "inputs": {
+            "batch_size": 1,
+            "height": 512,
+            "width": 512
+        }
+    },
+    "6": {
+        "class_type": "CLIPTextEncode",
+        "inputs": {
+            "clip": [
+                "4",
+                1
+            ],
+            "text": "masterpiece best quality girl"
+        }
+    },
+    "7": {
+        "class_type": "CLIPTextEncode",
+        "inputs": {
+            "clip": [
+                "4",
+                1
+            ],
+            "text": "bad hands"
+        }
+    },
+    "8": {
+        "class_type": "VAEDecode",
+        "inputs": {
+            "samples": [
+                "3",
+                0
+            ],
+            "vae": [
+                "4",
+                2
+            ]
+        }
+    },
+    "save_image_websocket_node": {
+        "class_type": "SaveImageWebsocket",
+        "inputs": {
+            "images": [
+                "8",
+                0
+            ]
+        }
+    }
+}
+"""
+
+prompt = json.loads(prompt_text)
+#set the text prompt for our positive CLIPTextEncode
+prompt["6"]["inputs"]["text"] = "masterpiece best quality man"
+
+#set the seed for our KSampler node
+prompt["3"]["inputs"]["seed"] = 5
+
+ws = websocket.WebSocket()
+ws.connect("ws://{}/ws?clientId={}".format(server_address, client_id))
+images = get_images(ws, prompt)
+
+#Commented out code to display the output images:
+
+# for node_id in images:
+#     for image_data in images[node_id]:
+#         from PIL import Image
+#         import io
+#         image = Image.open(io.BytesIO(image_data))
+#         image.show()
+
diff --git a/ComfyUI/server.py b/ComfyUI/server.py
new file mode 100644
index 0000000000000000000000000000000000000000..3611880da8b78cb6c94400a13a8514602aaecbad
--- /dev/null
+++ b/ComfyUI/server.py
@@ -0,0 +1,775 @@
+import os
+import sys
+import asyncio
+import traceback
+
+import nodes
+import folder_paths
+import execution
+import uuid
+import urllib
+import json
+import glob
+import struct
+import ssl
+from PIL import Image, ImageOps
+from PIL.PngImagePlugin import PngInfo
+from io import BytesIO
+
+import aiohttp
+from aiohttp import web
+import logging
+
+import mimetypes
+from comfy.cli_args import args
+import comfy.utils
+import comfy.model_management
+import node_helpers
+from app.frontend_management import FrontendManager
+from app.user_manager import UserManager
+from model_filemanager import download_model, DownloadModelStatus
+from typing import Optional
+from api_server.routes.internal.internal_routes import InternalRoutes
+
+class BinaryEventTypes:
+    PREVIEW_IMAGE = 1
+    UNENCODED_PREVIEW_IMAGE = 2
+
+async def send_socket_catch_exception(function, message):
+    try:
+        await function(message)
+    except (aiohttp.ClientError, aiohttp.ClientPayloadError, ConnectionResetError) as err:
+        logging.warning("send error: {}".format(err))
+
+def get_comfyui_version():
+    comfyui_version = "unknown"
+    repo_path = os.path.dirname(os.path.realpath(__file__))
+    try:
+        import pygit2
+        repo = pygit2.Repository(repo_path)
+        comfyui_version = repo.describe(describe_strategy=pygit2.GIT_DESCRIBE_TAGS)
+    except Exception:
+        try:
+            import subprocess
+            comfyui_version = subprocess.check_output(["git", "describe", "--tags"], cwd=repo_path).decode('utf-8')
+        except Exception as e:
+            logging.warning(f"Failed to get ComfyUI version: {e}")
+    return comfyui_version.strip()
+
+@web.middleware
+async def cache_control(request: web.Request, handler):
+    response: web.Response = await handler(request)
+    if request.path.endswith('.js') or request.path.endswith('.css'):
+        response.headers.setdefault('Cache-Control', 'no-cache')
+    return response
+
+def create_cors_middleware(allowed_origin: str):
+    @web.middleware
+    async def cors_middleware(request: web.Request, handler):
+        if request.method == "OPTIONS":
+            # Pre-flight request. Reply successfully:
+            response = web.Response()
+        else:
+            response = await handler(request)
+
+        response.headers['Access-Control-Allow-Origin'] = allowed_origin
+        response.headers['Access-Control-Allow-Methods'] = 'POST, GET, DELETE, PUT, OPTIONS'
+        response.headers['Access-Control-Allow-Headers'] = 'Content-Type, Authorization'
+        response.headers['Access-Control-Allow-Credentials'] = 'true'
+        return response
+
+    return cors_middleware
+
+class PromptServer():
+    def __init__(self, loop):
+        PromptServer.instance = self
+
+        mimetypes.init()
+        mimetypes.types_map['.js'] = 'application/javascript; charset=utf-8'
+
+        self.user_manager = UserManager()
+        self.internal_routes = InternalRoutes()
+        self.supports = ["custom_nodes_from_web"]
+        self.prompt_queue = None
+        self.loop = loop
+        self.messages = asyncio.Queue()
+        self.client_session:Optional[aiohttp.ClientSession] = None
+        self.number = 0
+
+        middlewares = [cache_control]
+        if args.enable_cors_header:
+            middlewares.append(create_cors_middleware(args.enable_cors_header))
+
+        max_upload_size = round(args.max_upload_size * 1024 * 1024)
+        self.app = web.Application(client_max_size=max_upload_size, middlewares=middlewares)
+        self.sockets = dict()
+        self.web_root = (
+            FrontendManager.init_frontend(args.front_end_version)
+            if args.front_end_root is None
+            else args.front_end_root
+        )
+        logging.info(f"[Prompt Server] web root: {self.web_root}")
+        routes = web.RouteTableDef()
+        self.routes = routes
+        self.last_node_id = None
+        self.client_id = None
+
+        self.on_prompt_handlers = []
+
+        @routes.get('/ws')
+        async def websocket_handler(request):
+            ws = web.WebSocketResponse()
+            await ws.prepare(request)
+            sid = request.rel_url.query.get('clientId', '')
+            if sid:
+                # Reusing existing session, remove old
+                self.sockets.pop(sid, None)
+            else:
+                sid = uuid.uuid4().hex
+
+            self.sockets[sid] = ws
+
+            try:
+                # Send initial state to the new client
+                await self.send("status", { "status": self.get_queue_info(), 'sid': sid }, sid)
+                # On reconnect if we are the currently executing client send the current node
+                if self.client_id == sid and self.last_node_id is not None:
+                    await self.send("executing", { "node": self.last_node_id }, sid)
+
+                async for msg in ws:
+                    if msg.type == aiohttp.WSMsgType.ERROR:
+                        logging.warning('ws connection closed with exception %s' % ws.exception())
+            finally:
+                self.sockets.pop(sid, None)
+            return ws
+
+        @routes.get("/")
+        async def get_root(request):
+            response = web.FileResponse(os.path.join(self.web_root, "index.html"))
+            response.headers['Cache-Control'] = 'no-cache'
+            response.headers["Pragma"] = "no-cache"
+            response.headers["Expires"] = "0"
+            return response
+
+        @routes.get("/embeddings")
+        def get_embeddings(self):
+            embeddings = folder_paths.get_filename_list("embeddings")
+            return web.json_response(list(map(lambda a: os.path.splitext(a)[0], embeddings)))
+
+        @routes.get("/models/{folder}")
+        async def get_models(request):
+            folder = request.match_info.get("folder", None)
+            if not folder in folder_paths.folder_names_and_paths:
+                return web.Response(status=404)
+            files = folder_paths.get_filename_list(folder)
+            return web.json_response(files)
+
+        @routes.get("/extensions")
+        async def get_extensions(request):
+            files = glob.glob(os.path.join(
+                glob.escape(self.web_root), 'extensions/**/*.js'), recursive=True)
+
+            extensions = list(map(lambda f: "/" + os.path.relpath(f, self.web_root).replace("\\", "/"), files))
+
+            for name, dir in nodes.EXTENSION_WEB_DIRS.items():
+                files = glob.glob(os.path.join(glob.escape(dir), '**/*.js'), recursive=True)
+                extensions.extend(list(map(lambda f: "/extensions/" + urllib.parse.quote(
+                    name) + "/" + os.path.relpath(f, dir).replace("\\", "/"), files)))
+
+            return web.json_response(extensions)
+
+        def get_dir_by_type(dir_type):
+            if dir_type is None:
+                dir_type = "input"
+
+            if dir_type == "input":
+                type_dir = folder_paths.get_input_directory()
+            elif dir_type == "temp":
+                type_dir = folder_paths.get_temp_directory()
+            elif dir_type == "output":
+                type_dir = folder_paths.get_output_directory()
+
+            return type_dir, dir_type
+
+        def compare_image_hash(filepath, image):
+            hasher = node_helpers.hasher()
+            
+            # function to compare hashes of two images to see if it already exists, fix to #3465
+            if os.path.exists(filepath):
+                a = hasher()
+                b = hasher()
+                with open(filepath, "rb") as f:
+                    a.update(f.read())
+                    b.update(image.file.read())
+                    image.file.seek(0)
+                    f.close()
+                return a.hexdigest() == b.hexdigest()
+            return False
+
+        def image_upload(post, image_save_function=None):
+            image = post.get("image")
+            overwrite = post.get("overwrite")
+            image_is_duplicate = False
+
+            image_upload_type = post.get("type")
+            upload_dir, image_upload_type = get_dir_by_type(image_upload_type)
+
+            if image and image.file:
+                filename = image.filename
+                if not filename:
+                    return web.Response(status=400)
+
+                subfolder = post.get("subfolder", "")
+                full_output_folder = os.path.join(upload_dir, os.path.normpath(subfolder))
+                filepath = os.path.abspath(os.path.join(full_output_folder, filename))
+
+                if os.path.commonpath((upload_dir, filepath)) != upload_dir:
+                    return web.Response(status=400)
+
+                if not os.path.exists(full_output_folder):
+                    os.makedirs(full_output_folder)
+
+                split = os.path.splitext(filename)
+
+                if overwrite is not None and (overwrite == "true" or overwrite == "1"):
+                    pass
+                else:
+                    i = 1
+                    while os.path.exists(filepath):
+                        if compare_image_hash(filepath, image): #compare hash to prevent saving of duplicates with same name, fix for #3465
+                            image_is_duplicate = True
+                            break
+                        filename = f"{split[0]} ({i}){split[1]}"
+                        filepath = os.path.join(full_output_folder, filename)
+                        i += 1
+
+                if not image_is_duplicate:
+                    if image_save_function is not None:
+                        image_save_function(image, post, filepath)
+                    else:
+                        with open(filepath, "wb") as f:
+                            f.write(image.file.read())
+
+                return web.json_response({"name" : filename, "subfolder": subfolder, "type": image_upload_type})
+            else:
+                return web.Response(status=400)
+
+        @routes.post("/upload/image")
+        async def upload_image(request):
+            post = await request.post()
+            return image_upload(post)
+
+
+        @routes.post("/upload/mask")
+        async def upload_mask(request):
+            post = await request.post()
+
+            def image_save_function(image, post, filepath):
+                original_ref = json.loads(post.get("original_ref"))
+                filename, output_dir = folder_paths.annotated_filepath(original_ref['filename'])
+
+                # validation for security: prevent accessing arbitrary path
+                if filename[0] == '/' or '..' in filename:
+                    return web.Response(status=400)
+
+                if output_dir is None:
+                    type = original_ref.get("type", "output")
+                    output_dir = folder_paths.get_directory_by_type(type)
+
+                if output_dir is None:
+                    return web.Response(status=400)
+
+                if original_ref.get("subfolder", "") != "":
+                    full_output_dir = os.path.join(output_dir, original_ref["subfolder"])
+                    if os.path.commonpath((os.path.abspath(full_output_dir), output_dir)) != output_dir:
+                        return web.Response(status=403)
+                    output_dir = full_output_dir
+
+                file = os.path.join(output_dir, filename)
+
+                if os.path.isfile(file):
+                    with Image.open(file) as original_pil:
+                        metadata = PngInfo()
+                        if hasattr(original_pil,'text'):
+                            for key in original_pil.text:
+                                metadata.add_text(key, original_pil.text[key])
+                        original_pil = original_pil.convert('RGBA')
+                        mask_pil = Image.open(image.file).convert('RGBA')
+
+                        # alpha copy
+                        new_alpha = mask_pil.getchannel('A')
+                        original_pil.putalpha(new_alpha)
+                        original_pil.save(filepath, compress_level=4, pnginfo=metadata)
+
+            return image_upload(post, image_save_function)
+
+        @routes.get("/view")
+        async def view_image(request):
+            if "filename" in request.rel_url.query:
+                filename = request.rel_url.query["filename"]
+                filename,output_dir = folder_paths.annotated_filepath(filename)
+
+                # validation for security: prevent accessing arbitrary path
+                if filename[0] == '/' or '..' in filename:
+                    return web.Response(status=400)
+
+                if output_dir is None:
+                    type = request.rel_url.query.get("type", "output")
+                    output_dir = folder_paths.get_directory_by_type(type)
+
+                if output_dir is None:
+                    return web.Response(status=400)
+
+                if "subfolder" in request.rel_url.query:
+                    full_output_dir = os.path.join(output_dir, request.rel_url.query["subfolder"])
+                    if os.path.commonpath((os.path.abspath(full_output_dir), output_dir)) != output_dir:
+                        return web.Response(status=403)
+                    output_dir = full_output_dir
+
+                filename = os.path.basename(filename)
+                file = os.path.join(output_dir, filename)
+
+                if os.path.isfile(file):
+                    if 'preview' in request.rel_url.query:
+                        with Image.open(file) as img:
+                            preview_info = request.rel_url.query['preview'].split(';')
+                            image_format = preview_info[0]
+                            if image_format not in ['webp', 'jpeg'] or 'a' in request.rel_url.query.get('channel', ''):
+                                image_format = 'webp'
+
+                            quality = 90
+                            if preview_info[-1].isdigit():
+                                quality = int(preview_info[-1])
+
+                            buffer = BytesIO()
+                            if image_format in ['jpeg'] or request.rel_url.query.get('channel', '') == 'rgb':
+                                img = img.convert("RGB")
+                            img.save(buffer, format=image_format, quality=quality)
+                            buffer.seek(0)
+
+                            return web.Response(body=buffer.read(), content_type=f'image/{image_format}',
+                                                headers={"Content-Disposition": f"filename=\"{filename}\""})
+
+                    if 'channel' not in request.rel_url.query:
+                        channel = 'rgba'
+                    else:
+                        channel = request.rel_url.query["channel"]
+
+                    if channel == 'rgb':
+                        with Image.open(file) as img:
+                            if img.mode == "RGBA":
+                                r, g, b, a = img.split()
+                                new_img = Image.merge('RGB', (r, g, b))
+                            else:
+                                new_img = img.convert("RGB")
+
+                            buffer = BytesIO()
+                            new_img.save(buffer, format='PNG')
+                            buffer.seek(0)
+
+                            return web.Response(body=buffer.read(), content_type='image/png',
+                                                headers={"Content-Disposition": f"filename=\"{filename}\""})
+
+                    elif channel == 'a':
+                        with Image.open(file) as img:
+                            if img.mode == "RGBA":
+                                _, _, _, a = img.split()
+                            else:
+                                a = Image.new('L', img.size, 255)
+
+                            # alpha img
+                            alpha_img = Image.new('RGBA', img.size)
+                            alpha_img.putalpha(a)
+                            alpha_buffer = BytesIO()
+                            alpha_img.save(alpha_buffer, format='PNG')
+                            alpha_buffer.seek(0)
+
+                            return web.Response(body=alpha_buffer.read(), content_type='image/png',
+                                                headers={"Content-Disposition": f"filename=\"{filename}\""})
+                    else:
+                        return web.FileResponse(file, headers={"Content-Disposition": f"filename=\"{filename}\""})
+
+            return web.Response(status=404)
+
+        @routes.get("/view_metadata/{folder_name}")
+        async def view_metadata(request):
+            folder_name = request.match_info.get("folder_name", None)
+            if folder_name is None:
+                return web.Response(status=404)
+            if not "filename" in request.rel_url.query:
+                return web.Response(status=404)
+
+            filename = request.rel_url.query["filename"]
+            if not filename.endswith(".safetensors"):
+                return web.Response(status=404)
+
+            safetensors_path = folder_paths.get_full_path(folder_name, filename)
+            if safetensors_path is None:
+                return web.Response(status=404)
+            out = comfy.utils.safetensors_header(safetensors_path, max_size=1024*1024)
+            if out is None:
+                return web.Response(status=404)
+            dt = json.loads(out)
+            if not "__metadata__" in dt:
+                return web.Response(status=404)
+            return web.json_response(dt["__metadata__"])
+
+        @routes.get("/system_stats")
+        async def system_stats(request):
+            device = comfy.model_management.get_torch_device()
+            device_name = comfy.model_management.get_torch_device_name(device)
+            vram_total, torch_vram_total = comfy.model_management.get_total_memory(device, torch_total_too=True)
+            vram_free, torch_vram_free = comfy.model_management.get_free_memory(device, torch_free_too=True)
+
+            system_stats = {
+                "system": {
+                    "os": os.name,
+                    "comfyui_version": get_comfyui_version(),
+                    "python_version": sys.version,
+                    "pytorch_version": comfy.model_management.torch_version,
+                    "embedded_python": os.path.split(os.path.split(sys.executable)[0])[1] == "python_embeded",
+                    "argv": sys.argv
+                },
+                "devices": [
+                    {
+                        "name": device_name,
+                        "type": device.type,
+                        "index": device.index,
+                        "vram_total": vram_total,
+                        "vram_free": vram_free,
+                        "torch_vram_total": torch_vram_total,
+                        "torch_vram_free": torch_vram_free,
+                    }
+                ]
+            }
+            return web.json_response(system_stats)
+
+        @routes.get("/prompt")
+        async def get_prompt(request):
+            return web.json_response(self.get_queue_info())
+
+        def node_info(node_class):
+            obj_class = nodes.NODE_CLASS_MAPPINGS[node_class]
+            info = {}
+            info['input'] = obj_class.INPUT_TYPES()
+            info['input_order'] = {key: list(value.keys()) for (key, value) in obj_class.INPUT_TYPES().items()}
+            info['output'] = obj_class.RETURN_TYPES
+            info['output_is_list'] = obj_class.OUTPUT_IS_LIST if hasattr(obj_class, 'OUTPUT_IS_LIST') else [False] * len(obj_class.RETURN_TYPES)
+            info['output_name'] = obj_class.RETURN_NAMES if hasattr(obj_class, 'RETURN_NAMES') else info['output']
+            info['name'] = node_class
+            info['display_name'] = nodes.NODE_DISPLAY_NAME_MAPPINGS[node_class] if node_class in nodes.NODE_DISPLAY_NAME_MAPPINGS.keys() else node_class
+            info['description'] = obj_class.DESCRIPTION if hasattr(obj_class,'DESCRIPTION') else ''
+            info['python_module'] = getattr(obj_class, "RELATIVE_PYTHON_MODULE", "nodes")
+            info['category'] = 'sd'
+            if hasattr(obj_class, 'OUTPUT_NODE') and obj_class.OUTPUT_NODE == True:
+                info['output_node'] = True
+            else:
+                info['output_node'] = False
+
+            if hasattr(obj_class, 'CATEGORY'):
+                info['category'] = obj_class.CATEGORY
+
+            if hasattr(obj_class, 'OUTPUT_TOOLTIPS'):
+                info['output_tooltips'] = obj_class.OUTPUT_TOOLTIPS
+
+            if getattr(obj_class, "DEPRECATED", False):
+                info['deprecated'] = True
+            if getattr(obj_class, "EXPERIMENTAL", False):
+                info['experimental'] = True
+            return info
+
+        @routes.get("/object_info")
+        async def get_object_info(request):
+            out = {}
+            for x in nodes.NODE_CLASS_MAPPINGS:
+                try:
+                    out[x] = node_info(x)
+                except Exception as e:
+                    logging.error(f"[ERROR] An error occurred while retrieving information for the '{x}' node.")
+                    logging.error(traceback.format_exc())
+            return web.json_response(out)
+
+        @routes.get("/object_info/{node_class}")
+        async def get_object_info_node(request):
+            node_class = request.match_info.get("node_class", None)
+            out = {}
+            if (node_class is not None) and (node_class in nodes.NODE_CLASS_MAPPINGS):
+                out[node_class] = node_info(node_class)
+            return web.json_response(out)
+
+        @routes.get("/history")
+        async def get_history(request):
+            max_items = request.rel_url.query.get("max_items", None)
+            if max_items is not None:
+                max_items = int(max_items)
+            return web.json_response(self.prompt_queue.get_history(max_items=max_items))
+
+        @routes.get("/history/{prompt_id}")
+        async def get_history(request):
+            prompt_id = request.match_info.get("prompt_id", None)
+            return web.json_response(self.prompt_queue.get_history(prompt_id=prompt_id))
+
+        @routes.get("/queue")
+        async def get_queue(request):
+            queue_info = {}
+            current_queue = self.prompt_queue.get_current_queue()
+            queue_info['queue_running'] = current_queue[0]
+            queue_info['queue_pending'] = current_queue[1]
+            return web.json_response(queue_info)
+
+        @routes.post("/prompt")
+        async def post_prompt(request):
+            logging.info("got prompt")
+            resp_code = 200
+            out_string = ""
+            json_data =  await request.json()
+            json_data = self.trigger_on_prompt(json_data)
+
+            if "number" in json_data:
+                number = float(json_data['number'])
+            else:
+                number = self.number
+                if "front" in json_data:
+                    if json_data['front']:
+                        number = -number
+
+                self.number += 1
+
+            if "prompt" in json_data:
+                prompt = json_data["prompt"]
+                valid = execution.validate_prompt(prompt)
+                extra_data = {}
+                if "extra_data" in json_data:
+                    extra_data = json_data["extra_data"]
+
+                if "client_id" in json_data:
+                    extra_data["client_id"] = json_data["client_id"]
+                if valid[0]:
+                    prompt_id = str(uuid.uuid4())
+                    outputs_to_execute = valid[2]
+                    self.prompt_queue.put((number, prompt_id, prompt, extra_data, outputs_to_execute))
+                    response = {"prompt_id": prompt_id, "number": number, "node_errors": valid[3]}
+                    return web.json_response(response)
+                else:
+                    logging.warning("invalid prompt: {}".format(valid[1]))
+                    return web.json_response({"error": valid[1], "node_errors": valid[3]}, status=400)
+            else:
+                return web.json_response({"error": "no prompt", "node_errors": []}, status=400)
+
+        @routes.post("/queue")
+        async def post_queue(request):
+            json_data =  await request.json()
+            if "clear" in json_data:
+                if json_data["clear"]:
+                    self.prompt_queue.wipe_queue()
+            if "delete" in json_data:
+                to_delete = json_data['delete']
+                for id_to_delete in to_delete:
+                    delete_func = lambda a: a[1] == id_to_delete
+                    self.prompt_queue.delete_queue_item(delete_func)
+
+            return web.Response(status=200)
+
+        @routes.post("/interrupt")
+        async def post_interrupt(request):
+            nodes.interrupt_processing()
+            return web.Response(status=200)
+
+        @routes.post("/free")
+        async def post_free(request):
+            json_data = await request.json()
+            unload_models = json_data.get("unload_models", False)
+            free_memory = json_data.get("free_memory", False)
+            if unload_models:
+                self.prompt_queue.set_flag("unload_models", unload_models)
+            if free_memory:
+                self.prompt_queue.set_flag("free_memory", free_memory)
+            return web.Response(status=200)
+
+        @routes.post("/history")
+        async def post_history(request):
+            json_data =  await request.json()
+            if "clear" in json_data:
+                if json_data["clear"]:
+                    self.prompt_queue.wipe_history()
+            if "delete" in json_data:
+                to_delete = json_data['delete']
+                for id_to_delete in to_delete:
+                    self.prompt_queue.delete_history_item(id_to_delete)
+
+            return web.Response(status=200)
+        
+        # Internal route. Should not be depended upon and is subject to change at any time.
+        # TODO(robinhuang): Move to internal route table class once we refactor PromptServer to pass around Websocket.
+        @routes.post("/internal/models/download")
+        async def download_handler(request):
+            async def report_progress(filename: str, status: DownloadModelStatus):
+                payload = status.to_dict()
+                payload['download_path'] = filename
+                await self.send_json("download_progress", payload)
+
+            data = await request.json()
+            url = data.get('url')
+            model_directory = data.get('model_directory')
+            model_filename = data.get('model_filename')
+            progress_interval = data.get('progress_interval', 1.0) # In seconds, how often to report download progress.
+
+            if not url or not model_directory or not model_filename:
+                return web.json_response({"status": "error", "message": "Missing URL or folder path or filename"}, status=400)
+
+            session = self.client_session
+            if session is None:
+                logging.error("Client session is not initialized")
+                return web.Response(status=500)
+            
+            task = asyncio.create_task(download_model(lambda url: session.get(url), model_filename, url, model_directory, report_progress, progress_interval))
+            await task
+
+            return web.json_response(task.result().to_dict())
+
+    async def setup(self):
+        timeout = aiohttp.ClientTimeout(total=None) # no timeout
+        self.client_session = aiohttp.ClientSession(timeout=timeout)
+
+    def add_routes(self):
+        self.user_manager.add_routes(self.routes)
+        self.app.add_subapp('/internal', self.internal_routes.get_app())
+
+        # Prefix every route with /api for easier matching for delegation.
+        # This is very useful for frontend dev server, which need to forward
+        # everything except serving of static files.
+        # Currently both the old endpoints without prefix and new endpoints with
+        # prefix are supported.
+        api_routes = web.RouteTableDef()
+        for route in self.routes:
+            # Custom nodes might add extra static routes. Only process non-static
+            # routes to add /api prefix.
+            if isinstance(route, web.RouteDef):
+                api_routes.route(route.method, "/api" + route.path)(route.handler, **route.kwargs)
+        self.app.add_routes(api_routes)
+        self.app.add_routes(self.routes)
+
+        for name, dir in nodes.EXTENSION_WEB_DIRS.items():
+            self.app.add_routes([
+                web.static('/extensions/' + urllib.parse.quote(name), dir),
+            ])
+
+        self.app.add_routes([
+            web.static('/', self.web_root),
+        ])
+
+    def get_queue_info(self):
+        prompt_info = {}
+        exec_info = {}
+        exec_info['queue_remaining'] = self.prompt_queue.get_tasks_remaining()
+        prompt_info['exec_info'] = exec_info
+        return prompt_info
+
+    async def send(self, event, data, sid=None):
+        if event == BinaryEventTypes.UNENCODED_PREVIEW_IMAGE:
+            await self.send_image(data, sid=sid)
+        elif isinstance(data, (bytes, bytearray)):
+            await self.send_bytes(event, data, sid)
+        else:
+            await self.send_json(event, data, sid)
+
+    def encode_bytes(self, event, data):
+        if not isinstance(event, int):
+            raise RuntimeError(f"Binary event types must be integers, got {event}")
+
+        packed = struct.pack(">I", event)
+        message = bytearray(packed)
+        message.extend(data)
+        return message
+
+    async def send_image(self, image_data, sid=None):
+        image_type = image_data[0]
+        image = image_data[1]
+        max_size = image_data[2]
+        if max_size is not None:
+            if hasattr(Image, 'Resampling'):
+                resampling = Image.Resampling.BILINEAR
+            else:
+                resampling = Image.ANTIALIAS
+
+            image = ImageOps.contain(image, (max_size, max_size), resampling)
+        type_num = 1
+        if image_type == "JPEG":
+            type_num = 1
+        elif image_type == "PNG":
+            type_num = 2
+
+        bytesIO = BytesIO()
+        header = struct.pack(">I", type_num)
+        bytesIO.write(header)
+        image.save(bytesIO, format=image_type, quality=95, compress_level=1)
+        preview_bytes = bytesIO.getvalue()
+        await self.send_bytes(BinaryEventTypes.PREVIEW_IMAGE, preview_bytes, sid=sid)
+
+    async def send_bytes(self, event, data, sid=None):
+        message = self.encode_bytes(event, data)
+
+        if sid is None:
+            sockets = list(self.sockets.values())
+            for ws in sockets:
+                await send_socket_catch_exception(ws.send_bytes, message)
+        elif sid in self.sockets:
+            await send_socket_catch_exception(self.sockets[sid].send_bytes, message)
+
+    async def send_json(self, event, data, sid=None):
+        message = {"type": event, "data": data}
+
+        if sid is None:
+            sockets = list(self.sockets.values())
+            for ws in sockets:
+                await send_socket_catch_exception(ws.send_json, message)
+        elif sid in self.sockets:
+            await send_socket_catch_exception(self.sockets[sid].send_json, message)
+
+    def send_sync(self, event, data, sid=None):
+        self.loop.call_soon_threadsafe(
+            self.messages.put_nowait, (event, data, sid))
+
+    def queue_updated(self):
+        self.send_sync("status", { "status": self.get_queue_info() })
+
+    async def publish_loop(self):
+        while True:
+            msg = await self.messages.get()
+            await self.send(*msg)
+
+    async def start(self, address, port, verbose=True, call_on_start=None):
+        runner = web.AppRunner(self.app, access_log=None)
+        await runner.setup()
+        ssl_ctx = None
+        scheme = "http"
+        if args.tls_keyfile and args.tls_certfile:
+                ssl_ctx = ssl.SSLContext(protocol=ssl.PROTOCOL_TLS_SERVER, verify_mode=ssl.CERT_NONE)
+                ssl_ctx.load_cert_chain(certfile=args.tls_certfile,
+                                keyfile=args.tls_keyfile)
+                scheme = "https"
+
+        site = web.TCPSite(runner, address, port, ssl_context=ssl_ctx)
+        await site.start()
+
+        self.address = address
+        self.port = port
+
+        if verbose:
+            logging.info("Starting server\n")
+            logging.info("To see the GUI go to: {}://{}:{}".format(scheme, address, port))
+        if call_on_start is not None:
+            call_on_start(scheme, address, port)
+
+    def add_on_prompt_handler(self, handler):
+        self.on_prompt_handlers.append(handler)
+
+    def trigger_on_prompt(self, json_data):
+        for handler in self.on_prompt_handlers:
+            try:
+                json_data = handler(json_data)
+            except Exception as e:
+                logging.warning(f"[ERROR] An error occurred during the on_prompt_handler processing")
+                logging.warning(traceback.format_exc())
+
+        return json_data
diff --git a/ComfyUI/tests-unit/README.md b/ComfyUI/tests-unit/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..94abd98534682822983407acdce615dad8bdd8b4
--- /dev/null
+++ b/ComfyUI/tests-unit/README.md
@@ -0,0 +1,8 @@
+# Pytest Unit Tests
+
+## Install test dependencies
+
+`pip install -r tests-units/requirements.txt`
+
+## Run tests
+`pytest tests-units/`
diff --git a/ComfyUI/tests-unit/app_test/__init__.py b/ComfyUI/tests-unit/app_test/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/tests-unit/app_test/frontend_manager_test.py b/ComfyUI/tests-unit/app_test/frontend_manager_test.py
new file mode 100644
index 0000000000000000000000000000000000000000..a8df5248461404d5934d3f7690bf1eeabaaf501b
--- /dev/null
+++ b/ComfyUI/tests-unit/app_test/frontend_manager_test.py
@@ -0,0 +1,130 @@
+import argparse
+import pytest
+from requests.exceptions import HTTPError
+from unittest.mock import patch
+
+from app.frontend_management import (
+    FrontendManager,
+    FrontEndProvider,
+    Release,
+)
+from comfy.cli_args import DEFAULT_VERSION_STRING
+
+
+@pytest.fixture
+def mock_releases():
+    return [
+        Release(
+            id=1,
+            tag_name="1.0.0",
+            name="Release 1.0.0",
+            prerelease=False,
+            created_at="2022-01-01T00:00:00Z",
+            published_at="2022-01-01T00:00:00Z",
+            body="Release notes for 1.0.0",
+            assets=[{"name": "dist.zip", "url": "https://example.com/dist.zip"}],
+        ),
+        Release(
+            id=2,
+            tag_name="2.0.0",
+            name="Release 2.0.0",
+            prerelease=False,
+            created_at="2022-02-01T00:00:00Z",
+            published_at="2022-02-01T00:00:00Z",
+            body="Release notes for 2.0.0",
+            assets=[{"name": "dist.zip", "url": "https://example.com/dist.zip"}],
+        ),
+    ]
+
+
+@pytest.fixture
+def mock_provider(mock_releases):
+    provider = FrontEndProvider(
+        owner="test-owner",
+        repo="test-repo",
+    )
+    provider.all_releases = mock_releases
+    provider.latest_release = mock_releases[1]
+    FrontendManager.PROVIDERS = [provider]
+    return provider
+
+
+def test_get_release(mock_provider, mock_releases):
+    version = "1.0.0"
+    release = mock_provider.get_release(version)
+    assert release == mock_releases[0]
+
+
+def test_get_release_latest(mock_provider, mock_releases):
+    version = "latest"
+    release = mock_provider.get_release(version)
+    assert release == mock_releases[1]
+
+
+def test_get_release_invalid_version(mock_provider):
+    version = "invalid"
+    with pytest.raises(ValueError):
+        mock_provider.get_release(version)
+
+
+def test_init_frontend_default():
+    version_string = DEFAULT_VERSION_STRING
+    frontend_path = FrontendManager.init_frontend(version_string)
+    assert frontend_path == FrontendManager.DEFAULT_FRONTEND_PATH
+
+
+def test_init_frontend_invalid_version():
+    version_string = "test-owner/test-repo@1.100.99"
+    with pytest.raises(HTTPError):
+        FrontendManager.init_frontend_unsafe(version_string)
+
+
+def test_init_frontend_invalid_provider():
+    version_string = "invalid/invalid@latest"
+    with pytest.raises(HTTPError):
+        FrontendManager.init_frontend_unsafe(version_string)
+
+@pytest.fixture
+def mock_os_functions():
+    with patch('app.frontend_management.os.makedirs') as mock_makedirs, \
+         patch('app.frontend_management.os.listdir') as mock_listdir, \
+         patch('app.frontend_management.os.rmdir') as mock_rmdir:
+        mock_listdir.return_value = []  # Simulate empty directory
+        yield mock_makedirs, mock_listdir, mock_rmdir
+
+@pytest.fixture
+def mock_download():
+    with patch('app.frontend_management.download_release_asset_zip') as mock:
+        mock.side_effect = Exception("Download failed")  # Simulate download failure
+        yield mock
+
+def test_finally_block(mock_os_functions, mock_download, mock_provider):
+    # Arrange
+    mock_makedirs, mock_listdir, mock_rmdir = mock_os_functions
+    version_string = 'test-owner/test-repo@1.0.0'
+
+    # Act & Assert
+    with pytest.raises(Exception):
+        FrontendManager.init_frontend_unsafe(version_string, mock_provider)
+
+    # Assert
+    mock_makedirs.assert_called_once()
+    mock_download.assert_called_once()
+    mock_listdir.assert_called_once()
+    mock_rmdir.assert_called_once()
+
+
+def test_parse_version_string():
+    version_string = "owner/repo@1.0.0"
+    repo_owner, repo_name, version = FrontendManager.parse_version_string(
+        version_string
+    )
+    assert repo_owner == "owner"
+    assert repo_name == "repo"
+    assert version == "1.0.0"
+
+
+def test_parse_version_string_invalid():
+    version_string = "invalid"
+    with pytest.raises(argparse.ArgumentTypeError):
+        FrontendManager.parse_version_string(version_string)
diff --git a/ComfyUI/tests-unit/prompt_server_test/__init__.py b/ComfyUI/tests-unit/prompt_server_test/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/tests-unit/prompt_server_test/download_models_test.py b/ComfyUI/tests-unit/prompt_server_test/download_models_test.py
new file mode 100644
index 0000000000000000000000000000000000000000..66150a4682fd4a3b242a1dce5d0de8e92108540a
--- /dev/null
+++ b/ComfyUI/tests-unit/prompt_server_test/download_models_test.py
@@ -0,0 +1,321 @@
+import pytest
+import aiohttp
+from aiohttp import ClientResponse
+import itertools
+import os 
+from unittest.mock import AsyncMock, patch, MagicMock
+from model_filemanager import download_model, validate_model_subdirectory, track_download_progress, create_model_path, check_file_exists, DownloadStatusType, DownloadModelStatus, validate_filename
+
+class AsyncIteratorMock:
+    """
+    A mock class that simulates an asynchronous iterator.
+    This is used to mimic the behavior of aiohttp's content iterator.
+    """
+    def __init__(self, seq):
+        # Convert the input sequence into an iterator
+        self.iter = iter(seq)
+
+    def __aiter__(self):
+        # This method is called when 'async for' is used
+        return self
+
+    async def __anext__(self):
+        # This method is called for each iteration in an 'async for' loop
+        try:
+            return next(self.iter)
+        except StopIteration:
+            # This is the asynchronous equivalent of StopIteration
+            raise StopAsyncIteration
+
+class ContentMock:
+    """
+    A mock class that simulates the content attribute of an aiohttp ClientResponse.
+    This class provides the iter_chunked method which returns an async iterator of chunks.
+    """
+    def __init__(self, chunks):
+        # Store the chunks that will be returned by the iterator
+        self.chunks = chunks
+
+    def iter_chunked(self, chunk_size):
+        # This method mimics aiohttp's content.iter_chunked()
+        # For simplicity in testing, we ignore chunk_size and just return our predefined chunks
+        return AsyncIteratorMock(self.chunks)
+
+@pytest.mark.asyncio
+async def test_download_model_success():
+    mock_response = AsyncMock(spec=aiohttp.ClientResponse)
+    mock_response.status = 200
+    mock_response.headers = {'Content-Length': '1000'}
+    # Create a mock for content that returns an async iterator directly
+    chunks = [b'a' * 500, b'b' * 300, b'c' * 200]
+    mock_response.content = ContentMock(chunks)
+
+    mock_make_request = AsyncMock(return_value=mock_response)
+    mock_progress_callback = AsyncMock()
+
+    # Mock file operations
+    mock_open = MagicMock()
+    mock_file = MagicMock()
+    mock_open.return_value.__enter__.return_value = mock_file
+    time_values = itertools.count(0, 0.1)
+
+    with patch('model_filemanager.create_model_path', return_value=('models/checkpoints/model.sft', 'checkpoints/model.sft')), \
+         patch('model_filemanager.check_file_exists', return_value=None), \
+         patch('builtins.open', mock_open), \
+         patch('time.time', side_effect=time_values):  # Simulate time passing
+
+        result = await download_model(
+            mock_make_request,
+            'model.sft',
+            'http://example.com/model.sft',
+            'checkpoints',
+            mock_progress_callback
+        )
+
+    # Assert the result
+    assert isinstance(result, DownloadModelStatus)
+    assert result.message == 'Successfully downloaded model.sft'
+    assert result.status == 'completed'
+    assert result.already_existed is False
+
+    # Check progress callback calls
+    assert mock_progress_callback.call_count >= 3  # At least start, one progress update, and completion
+    
+    # Check initial call
+    mock_progress_callback.assert_any_call(
+        'checkpoints/model.sft',
+        DownloadModelStatus(DownloadStatusType.PENDING, 0, "Starting download of model.sft", False)
+    )
+
+    # Check final call
+    mock_progress_callback.assert_any_call(
+        'checkpoints/model.sft',
+        DownloadModelStatus(DownloadStatusType.COMPLETED, 100, "Successfully downloaded model.sft", False)
+    )
+
+    # Verify file writing
+    mock_file.write.assert_any_call(b'a' * 500)
+    mock_file.write.assert_any_call(b'b' * 300)
+    mock_file.write.assert_any_call(b'c' * 200)
+
+    # Verify request was made
+    mock_make_request.assert_called_once_with('http://example.com/model.sft')
+
+@pytest.mark.asyncio
+async def test_download_model_url_request_failure():
+    # Mock dependencies
+    mock_response = AsyncMock(spec=ClientResponse)
+    mock_response.status = 404  # Simulate a "Not Found" error
+    mock_get = AsyncMock(return_value=mock_response)
+    mock_progress_callback = AsyncMock()
+
+    # Mock the create_model_path function
+    with patch('model_filemanager.create_model_path', return_value=('/mock/path/model.safetensors', 'mock/path/model.safetensors')):
+        # Mock the check_file_exists function to return None (file doesn't exist)
+        with patch('model_filemanager.check_file_exists', return_value=None):
+            # Call the function
+            result = await download_model(
+                mock_get,
+                'model.safetensors',
+                'http://example.com/model.safetensors',
+                'mock_directory',
+                mock_progress_callback
+            )
+
+    # Assert the expected behavior
+    assert isinstance(result, DownloadModelStatus)
+    assert result.status == 'error'
+    assert result.message == 'Failed to download model.safetensors. Status code: 404'
+    assert result.already_existed is False
+
+    # Check that progress_callback was called with the correct arguments
+    mock_progress_callback.assert_any_call(
+        'mock_directory/model.safetensors',
+        DownloadModelStatus(
+            status=DownloadStatusType.PENDING,
+            progress_percentage=0,
+            message='Starting download of model.safetensors',
+            already_existed=False
+        )
+    )
+    mock_progress_callback.assert_called_with(
+        'mock_directory/model.safetensors',
+        DownloadModelStatus(
+            status=DownloadStatusType.ERROR,
+            progress_percentage=0,
+            message='Failed to download model.safetensors. Status code: 404',
+            already_existed=False
+        )
+    )
+
+    # Verify that the get method was called with the correct URL
+    mock_get.assert_called_once_with('http://example.com/model.safetensors')
+
+@pytest.mark.asyncio
+async def test_download_model_invalid_model_subdirectory():
+    
+    mock_make_request = AsyncMock()
+    mock_progress_callback = AsyncMock()
+
+    
+    result = await download_model(
+        mock_make_request,
+        'model.sft',
+        'http://example.com/model.sft',
+        '../bad_path',
+        mock_progress_callback
+    )
+
+    # Assert the result
+    assert isinstance(result, DownloadModelStatus)
+    assert result.message == 'Invalid model subdirectory'
+    assert result.status == 'error'
+    assert result.already_existed is False
+
+
+# For create_model_path function
+def test_create_model_path(tmp_path, monkeypatch):
+    mock_models_dir = tmp_path / "models"
+    monkeypatch.setattr('folder_paths.models_dir', str(mock_models_dir))
+    
+    model_name = "test_model.sft"
+    model_directory = "test_dir"
+    
+    file_path, relative_path = create_model_path(model_name, model_directory, mock_models_dir)
+    
+    assert file_path == str(mock_models_dir / model_directory / model_name)
+    assert relative_path == f"{model_directory}/{model_name}"
+    assert os.path.exists(os.path.dirname(file_path))
+
+
+@pytest.mark.asyncio
+async def test_check_file_exists_when_file_exists(tmp_path):
+    file_path = tmp_path / "existing_model.sft"
+    file_path.touch()  # Create an empty file
+    
+    mock_callback = AsyncMock()
+    
+    result = await check_file_exists(str(file_path), "existing_model.sft", mock_callback, "test/existing_model.sft")
+    
+    assert result is not None
+    assert result.status == "completed"
+    assert result.message == "existing_model.sft already exists"
+    assert result.already_existed is True
+    
+    mock_callback.assert_called_once_with(
+        "test/existing_model.sft",
+        DownloadModelStatus(DownloadStatusType.COMPLETED, 100, "existing_model.sft already exists", already_existed=True)
+    )
+
+@pytest.mark.asyncio
+async def test_check_file_exists_when_file_does_not_exist(tmp_path):
+    file_path = tmp_path / "non_existing_model.sft"
+    
+    mock_callback = AsyncMock()
+    
+    result = await check_file_exists(str(file_path), "non_existing_model.sft", mock_callback, "test/non_existing_model.sft")
+    
+    assert result is None
+    mock_callback.assert_not_called()
+
+@pytest.mark.asyncio
+async def test_track_download_progress_no_content_length():
+    mock_response = AsyncMock(spec=aiohttp.ClientResponse)
+    mock_response.headers = {}  # No Content-Length header
+    mock_response.content.iter_chunked.return_value = AsyncIteratorMock([b'a' * 500, b'b' * 500])
+
+    mock_callback = AsyncMock()
+    mock_open = MagicMock(return_value=MagicMock())
+
+    with patch('builtins.open', mock_open):
+        result = await track_download_progress(
+            mock_response, '/mock/path/model.sft', 'model.sft',
+            mock_callback, 'models/model.sft', interval=0.1
+        )
+
+    assert result.status == "completed"
+    # Check that progress was reported even without knowing the total size
+    mock_callback.assert_any_call(
+        'models/model.sft',
+        DownloadModelStatus(DownloadStatusType.IN_PROGRESS, 0, "Downloading model.sft", already_existed=False)
+    )
+
+@pytest.mark.asyncio
+async def test_track_download_progress_interval():
+    mock_response = AsyncMock(spec=aiohttp.ClientResponse)
+    mock_response.headers = {'Content-Length': '1000'}
+    mock_response.content.iter_chunked.return_value = AsyncIteratorMock([b'a' * 100] * 10)
+
+    mock_callback = AsyncMock()
+    mock_open = MagicMock(return_value=MagicMock())
+
+    # Create a mock time function that returns incremental float values
+    mock_time = MagicMock()
+    mock_time.side_effect = [i * 0.5 for i in range(30)]  # This should be enough for 10 chunks
+
+    with patch('builtins.open', mock_open), \
+         patch('time.time', mock_time):
+        await track_download_progress(
+            mock_response, '/mock/path/model.sft', 'model.sft',
+            mock_callback, 'models/model.sft', interval=1.0
+        )
+
+    # Print out the actual call count and the arguments of each call for debugging
+    print(f"mock_callback was called {mock_callback.call_count} times")
+    for i, call in enumerate(mock_callback.call_args_list):
+        args, kwargs = call
+        print(f"Call {i + 1}: {args[1].status}, Progress: {args[1].progress_percentage:.2f}%")
+
+    # Assert that progress was updated at least 3 times (start, at least one interval, and end)
+    assert mock_callback.call_count >= 3, f"Expected at least 3 calls, but got {mock_callback.call_count}"
+
+    # Verify the first and last calls
+    first_call = mock_callback.call_args_list[0]
+    assert first_call[0][1].status == "in_progress"
+    # Allow for some initial progress, but it should be less than 50%
+    assert 0 <= first_call[0][1].progress_percentage < 50, f"First call progress was {first_call[0][1].progress_percentage}%"
+
+    last_call = mock_callback.call_args_list[-1]
+    assert last_call[0][1].status == "completed"
+    assert last_call[0][1].progress_percentage == 100
+
+def test_valid_subdirectory():
+    assert validate_model_subdirectory("valid-model123") is True
+
+def test_subdirectory_too_long():
+    assert validate_model_subdirectory("a" * 51) is False
+
+def test_subdirectory_with_double_dots():
+    assert validate_model_subdirectory("model/../unsafe") is False
+
+def test_subdirectory_with_slash():
+    assert validate_model_subdirectory("model/unsafe") is False
+
+def test_subdirectory_with_special_characters():
+    assert validate_model_subdirectory("model@unsafe") is False
+
+def test_subdirectory_with_underscore_and_dash():
+    assert validate_model_subdirectory("valid_model-name") is True
+
+def test_empty_subdirectory():
+    assert validate_model_subdirectory("") is False
+
+@pytest.mark.parametrize("filename, expected", [
+    ("valid_model.safetensors", True),
+    ("valid_model.sft", True),
+    ("valid model.safetensors", True), # Test with space
+    ("UPPERCASE_MODEL.SAFETENSORS", True),
+    ("model_with.multiple.dots.pt", False),
+    ("", False),  # Empty string
+    ("../../../etc/passwd", False),  # Path traversal attempt
+    ("/etc/passwd", False),  # Absolute path
+    ("\\windows\\system32\\config\\sam", False),  # Windows path
+    (".hidden_file.pt", False),  # Hidden file
+    ("invalid<char>.ckpt", False),  # Invalid character
+    ("invalid?.ckpt", False),  # Another invalid character
+    ("very" * 100 + ".safetensors", False),  # Too long filename
+    ("\nmodel_with_newline.pt", False),  # Newline character
+    ("model_with_emoji😊.pt", False),  # Emoji in filename
+])
+def test_validate_filename(filename, expected):
+    assert validate_filename(filename) == expected
diff --git a/ComfyUI/tests-unit/requirements.txt b/ComfyUI/tests-unit/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d70d00f4ba2315c2c8233f5dadfc398ea87f5259
--- /dev/null
+++ b/ComfyUI/tests-unit/requirements.txt
@@ -0,0 +1,3 @@
+pytest>=7.8.0
+pytest-aiohttp
+pytest-asyncio
diff --git a/ComfyUI/tests-unit/server/routes/internal_routes_test.py b/ComfyUI/tests-unit/server/routes/internal_routes_test.py
new file mode 100644
index 0000000000000000000000000000000000000000..2d2b43bd66f9912472f834afbeecfe531093b748
--- /dev/null
+++ b/ComfyUI/tests-unit/server/routes/internal_routes_test.py
@@ -0,0 +1,115 @@
+import pytest
+from aiohttp import web
+from unittest.mock import MagicMock, patch
+from api_server.routes.internal.internal_routes import InternalRoutes
+from api_server.services.file_service import FileService
+from folder_paths import models_dir, user_directory, output_directory
+
+
+@pytest.fixture
+def internal_routes():
+    return InternalRoutes()
+
+@pytest.fixture
+def aiohttp_client_factory(aiohttp_client, internal_routes):
+    async def _get_client():
+        app = internal_routes.get_app()
+        return await aiohttp_client(app)
+    return _get_client
+
+@pytest.mark.asyncio
+async def test_list_files_valid_directory(aiohttp_client_factory, internal_routes):
+    mock_file_list = [
+        {"name": "file1.txt", "path": "file1.txt", "type": "file", "size": 100},
+        {"name": "dir1", "path": "dir1", "type": "directory"}
+    ]
+    internal_routes.file_service.list_files = MagicMock(return_value=mock_file_list)
+    client = await aiohttp_client_factory()
+    resp = await client.get('/files?directory=models')
+    assert resp.status == 200
+    data = await resp.json()
+    assert 'files' in data
+    assert len(data['files']) == 2
+    assert data['files'] == mock_file_list
+
+    # Check other valid directories
+    resp = await client.get('/files?directory=user')
+    assert resp.status == 200
+    resp = await client.get('/files?directory=output')
+    assert resp.status == 200
+
+@pytest.mark.asyncio
+async def test_list_files_invalid_directory(aiohttp_client_factory, internal_routes):
+    internal_routes.file_service.list_files = MagicMock(side_effect=ValueError("Invalid directory key"))
+    client = await aiohttp_client_factory()
+    resp = await client.get('/files?directory=invalid')
+    assert resp.status == 400
+    data = await resp.json()
+    assert 'error' in data
+    assert data['error'] == "Invalid directory key"
+
+@pytest.mark.asyncio
+async def test_list_files_exception(aiohttp_client_factory, internal_routes):
+    internal_routes.file_service.list_files = MagicMock(side_effect=Exception("Unexpected error"))
+    client = await aiohttp_client_factory()
+    resp = await client.get('/files?directory=models')
+    assert resp.status == 500
+    data = await resp.json()
+    assert 'error' in data
+    assert data['error'] == "Unexpected error"
+
+@pytest.mark.asyncio
+async def test_list_files_no_directory_param(aiohttp_client_factory, internal_routes):
+    mock_file_list = []
+    internal_routes.file_service.list_files = MagicMock(return_value=mock_file_list)
+    client = await aiohttp_client_factory()
+    resp = await client.get('/files')
+    assert resp.status == 200
+    data = await resp.json()
+    assert 'files' in data
+    assert len(data['files']) == 0
+
+def test_setup_routes(internal_routes):
+    internal_routes.setup_routes()
+    routes = internal_routes.routes
+    assert any(route.method == 'GET' and str(route.path) == '/files' for route in routes)
+
+def test_get_app(internal_routes):
+    app = internal_routes.get_app()
+    assert isinstance(app, web.Application)
+    assert internal_routes._app is not None
+
+def test_get_app_reuse(internal_routes):
+    app1 = internal_routes.get_app()
+    app2 = internal_routes.get_app()
+    assert app1 is app2
+
+@pytest.mark.asyncio
+async def test_routes_added_to_app(aiohttp_client_factory, internal_routes):
+    client = await aiohttp_client_factory()
+    try:
+        resp = await client.get('/files')
+        print(f"Response received: status {resp.status}")
+    except Exception as e:
+        print(f"Exception occurred during GET request: {e}")
+        raise
+
+    assert resp.status != 404, "Route /files does not exist"
+
+@pytest.mark.asyncio
+async def test_file_service_initialization():
+    with patch('api_server.routes.internal.internal_routes.FileService') as MockFileService:
+        # Create a mock instance
+        mock_file_service_instance = MagicMock(spec=FileService)
+        MockFileService.return_value = mock_file_service_instance
+        internal_routes = InternalRoutes()
+
+        # Check if FileService was initialized with the correct parameters
+        MockFileService.assert_called_once_with({
+            "models": models_dir,
+            "user": user_directory,
+            "output": output_directory
+        })
+
+        # Verify that the file_service attribute of InternalRoutes is set
+        assert internal_routes.file_service == mock_file_service_instance
\ No newline at end of file
diff --git a/ComfyUI/tests-unit/server/services/file_service_test.py b/ComfyUI/tests-unit/server/services/file_service_test.py
new file mode 100644
index 0000000000000000000000000000000000000000..5650452a32fcacf3d0d444abee3a17644e8c65cb
--- /dev/null
+++ b/ComfyUI/tests-unit/server/services/file_service_test.py
@@ -0,0 +1,54 @@
+import pytest
+from unittest.mock import MagicMock
+from api_server.services.file_service import FileService
+
+@pytest.fixture
+def mock_file_system_ops():
+    return MagicMock()
+
+@pytest.fixture
+def file_service(mock_file_system_ops):
+    allowed_directories = {
+        "models": "/path/to/models",
+        "user": "/path/to/user",
+        "output": "/path/to/output"
+    }
+    return FileService(allowed_directories, file_system_ops=mock_file_system_ops)
+
+def test_list_files_valid_directory(file_service, mock_file_system_ops):
+    mock_file_system_ops.walk_directory.return_value = [
+        {"name": "file1.txt", "path": "file1.txt", "type": "file", "size": 100},
+        {"name": "dir1", "path": "dir1", "type": "directory"}
+    ]
+    
+    result = file_service.list_files("models")
+    
+    assert len(result) == 2
+    assert result[0]["name"] == "file1.txt"
+    assert result[1]["name"] == "dir1"
+    mock_file_system_ops.walk_directory.assert_called_once_with("/path/to/models")
+
+def test_list_files_invalid_directory(file_service):
+    # Does not support walking directories outside of the allowed directories
+    with pytest.raises(ValueError, match="Invalid directory key"):
+        file_service.list_files("invalid_key")
+
+def test_list_files_empty_directory(file_service, mock_file_system_ops):
+    mock_file_system_ops.walk_directory.return_value = []
+    
+    result = file_service.list_files("models")
+    
+    assert len(result) == 0
+    mock_file_system_ops.walk_directory.assert_called_once_with("/path/to/models")
+
+@pytest.mark.parametrize("directory_key", ["models", "user", "output"])
+def test_list_files_all_allowed_directories(file_service, mock_file_system_ops, directory_key):
+    mock_file_system_ops.walk_directory.return_value = [
+        {"name": f"file_{directory_key}.txt", "path": f"file_{directory_key}.txt", "type": "file", "size": 100}
+    ]
+    
+    result = file_service.list_files(directory_key)
+    
+    assert len(result) == 1
+    assert result[0]["name"] == f"file_{directory_key}.txt"
+    mock_file_system_ops.walk_directory.assert_called_once_with(f"/path/to/{directory_key}")
\ No newline at end of file
diff --git a/ComfyUI/tests-unit/server/utils/file_operations_test.py b/ComfyUI/tests-unit/server/utils/file_operations_test.py
new file mode 100644
index 0000000000000000000000000000000000000000..5a2a8371367e774a4fe29ebe1548d5f3e85b8224
--- /dev/null
+++ b/ComfyUI/tests-unit/server/utils/file_operations_test.py
@@ -0,0 +1,42 @@
+import pytest
+from typing import List
+from api_server.utils.file_operations import FileSystemOperations, FileSystemItem, is_file_info
+
+@pytest.fixture
+def temp_directory(tmp_path):
+    # Create a temporary directory structure
+    dir1 = tmp_path / "dir1"
+    dir2 = tmp_path / "dir2"
+    dir1.mkdir()
+    dir2.mkdir()
+    (dir1 / "file1.txt").write_text("content1")
+    (dir2 / "file2.txt").write_text("content2")
+    (tmp_path / "file3.txt").write_text("content3")
+    return tmp_path
+
+def test_walk_directory(temp_directory):
+    result: List[FileSystemItem] = FileSystemOperations.walk_directory(str(temp_directory))
+    
+    assert len(result) == 5  # 2 directories and 3 files
+    
+    files = [item for item in result if item['type'] == 'file']
+    dirs = [item for item in result if item['type'] == 'directory']
+    
+    assert len(files) == 3
+    assert len(dirs) == 2
+    
+    file_names = {file['name'] for file in files}
+    assert file_names == {'file1.txt', 'file2.txt', 'file3.txt'}
+    
+    dir_names = {dir['name'] for dir in dirs}
+    assert dir_names == {'dir1', 'dir2'}
+
+def test_walk_directory_empty(tmp_path):
+    result = FileSystemOperations.walk_directory(str(tmp_path))
+    assert len(result) == 0
+
+def test_walk_directory_file_size(temp_directory):
+    result: List[FileSystemItem] = FileSystemOperations.walk_directory(str(temp_directory))
+    files = [item for item in result if is_file_info(item)]
+    for file in files:
+        assert file['size'] > 0  # Assuming all files have some content
diff --git a/ComfyUI/tests/README.md b/ComfyUI/tests/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..2005fd45b2bbd249fb7f1dfff789b2ae236568ba
--- /dev/null
+++ b/ComfyUI/tests/README.md
@@ -0,0 +1,29 @@
+# Automated Testing
+
+## Running tests locally
+
+Additional requirements for running tests:
+```
+pip install pytest
+pip install websocket-client==1.6.1
+opencv-python==4.6.0.66
+scikit-image==0.21.0
+```
+Run inference tests:
+```
+pytest tests/inference
+```
+
+## Quality regression test
+Compares images in 2 directories to ensure they are the same
+
+1) Run an inference test to save a directory of "ground truth" images
+```
+    pytest tests/inference --output_dir tests/inference/baseline
+```
+2) Make code edits
+
+3) Run inference and quality comparison tests
+```
+pytest
+```
\ No newline at end of file
diff --git a/ComfyUI/tests/__init__.py b/ComfyUI/tests/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/tests/compare/conftest.py b/ComfyUI/tests/compare/conftest.py
new file mode 100644
index 0000000000000000000000000000000000000000..dd5078c9e6e432c7de2462c5641068bfa8e0aaee
--- /dev/null
+++ b/ComfyUI/tests/compare/conftest.py
@@ -0,0 +1,41 @@
+import os
+import pytest
+
+# Command line arguments for pytest
+def pytest_addoption(parser):
+    parser.addoption('--baseline_dir', action="store", default='tests/inference/baseline', help='Directory for ground-truth images')
+    parser.addoption('--test_dir', action="store", default='tests/inference/samples', help='Directory for images to test')
+    parser.addoption('--metrics_file', action="store", default='tests/metrics.md', help='Output file for metrics')
+    parser.addoption('--img_output_dir', action="store", default='tests/compare/samples', help='Output directory for diff metric images')
+
+# This initializes args at the beginning of the test session
+@pytest.fixture(scope="session", autouse=True)
+def args_pytest(pytestconfig):
+    args = {}
+    args['baseline_dir'] = pytestconfig.getoption('baseline_dir')
+    args['test_dir'] = pytestconfig.getoption('test_dir')
+    args['metrics_file'] = pytestconfig.getoption('metrics_file')
+    args['img_output_dir'] = pytestconfig.getoption('img_output_dir')
+
+    # Initialize metrics file
+    with open(args['metrics_file'], 'a') as f:
+        # if file is empty, write header
+        if os.stat(args['metrics_file']).st_size == 0:
+            f.write("| date | run | file | status | value | \n")
+            f.write("| --- | --- | --- | --- | --- | \n")
+
+    return args
+
+
+def gather_file_basenames(directory: str):
+    files = []
+    for file in os.listdir(directory):
+        if file.endswith(".png"):
+            files.append(file)
+    return files
+
+# Creates the list of baseline file names to use as a fixture
+def pytest_generate_tests(metafunc):
+    if "baseline_fname" in metafunc.fixturenames:
+        baseline_fnames = gather_file_basenames(metafunc.config.getoption("baseline_dir"))
+        metafunc.parametrize("baseline_fname", baseline_fnames)
diff --git a/ComfyUI/tests/compare/test_quality.py b/ComfyUI/tests/compare/test_quality.py
new file mode 100644
index 0000000000000000000000000000000000000000..92a2d5a8b021e98c6d24343033ac01020a5016bd
--- /dev/null
+++ b/ComfyUI/tests/compare/test_quality.py
@@ -0,0 +1,195 @@
+import datetime
+import numpy as np
+import os
+from PIL import Image
+import pytest
+from pytest import fixture
+from typing import Tuple, List
+
+from cv2 import imread, cvtColor, COLOR_BGR2RGB
+from skimage.metrics import structural_similarity as ssim
+
+
+"""
+This test suite compares images in 2 directories by file name
+The directories are specified by the command line arguments --baseline_dir and --test_dir
+
+"""
+# ssim: Structural Similarity Index
+# Returns a tuple of (ssim, diff_image)
+def ssim_score(img0: np.ndarray, img1: np.ndarray) -> Tuple[float, np.ndarray]:
+    score, diff = ssim(img0, img1, channel_axis=-1, full=True)
+    # rescale the difference image to 0-255 range
+    diff = (diff * 255).astype("uint8")
+    return score, diff
+    
+# Metrics must return a tuple of (score, diff_image)
+METRICS = {"ssim": ssim_score}
+METRICS_PASS_THRESHOLD = {"ssim": 0.95}
+
+
+class TestCompareImageMetrics:
+    @fixture(scope="class")
+    def test_file_names(self, args_pytest):
+        test_dir = args_pytest['test_dir']
+        fnames = self.gather_file_basenames(test_dir)  
+        yield fnames
+        del fnames
+
+    @fixture(scope="class", autouse=True)
+    def teardown(self, args_pytest):
+        yield
+        # Runs after all tests are complete
+        # Aggregate output files into a grid of images
+        baseline_dir = args_pytest['baseline_dir']
+        test_dir = args_pytest['test_dir']
+        img_output_dir = args_pytest['img_output_dir']
+        metrics_file = args_pytest['metrics_file']
+
+        grid_dir = os.path.join(img_output_dir, "grid")
+        os.makedirs(grid_dir, exist_ok=True)
+
+        for metric_dir in METRICS.keys():
+            metric_path = os.path.join(img_output_dir, metric_dir)
+            for file in os.listdir(metric_path):
+                if file.endswith(".png"):
+                    score = self.lookup_score_from_fname(file, metrics_file)
+                    image_file_list = []
+                    image_file_list.append([
+                                            os.path.join(baseline_dir, file),
+                                            os.path.join(test_dir, file),
+                                            os.path.join(metric_path, file)
+                                            ])
+                    # Create grid
+                    image_list = [[Image.open(file) for file in files] for files in image_file_list]
+                    grid = self.image_grid(image_list)
+                    grid.save(os.path.join(grid_dir, f"{metric_dir}_{score:.3f}_{file}"))
+    
+    # Tests run for each baseline file name
+    @fixture()
+    def fname(self, baseline_fname):
+        yield baseline_fname
+        del baseline_fname
+    
+    def test_directories_not_empty(self, args_pytest):
+        baseline_dir = args_pytest['baseline_dir']
+        test_dir = args_pytest['test_dir']
+        assert len(os.listdir(baseline_dir)) != 0, f"Baseline directory {baseline_dir} is empty"
+        assert len(os.listdir(test_dir)) != 0, f"Test directory {test_dir} is empty"
+
+    def test_dir_has_all_matching_metadata(self, fname, test_file_names, args_pytest):
+        # Check that all files in baseline_dir have a file in test_dir with matching metadata
+        baseline_file_path = os.path.join(args_pytest['baseline_dir'], fname)
+        file_paths = [os.path.join(args_pytest['test_dir'], f) for f in test_file_names]
+        file_match = self.find_file_match(baseline_file_path, file_paths)
+        assert file_match is not None, f"Could not find a file in {args_pytest['test_dir']} with matching metadata to {baseline_file_path}"
+
+    # For a baseline image file, finds the corresponding file name in test_dir and 
+    # compares the images using the metrics in METRICS
+    @pytest.mark.parametrize("metric", METRICS.keys())
+    def test_pipeline_compare(
+        self,
+        args_pytest,
+        fname,
+        test_file_names,
+        metric,
+    ):
+        baseline_dir = args_pytest['baseline_dir']
+        test_dir = args_pytest['test_dir']
+        metrics_output_file = args_pytest['metrics_file']
+        img_output_dir = args_pytest['img_output_dir']
+        
+        baseline_file_path = os.path.join(baseline_dir, fname)
+
+        # Find file match
+        file_paths = [os.path.join(test_dir, f) for f in test_file_names]
+        test_file = self.find_file_match(baseline_file_path, file_paths)
+
+        # Run metrics
+        sample_baseline = self.read_img(baseline_file_path)
+        sample_secondary = self.read_img(test_file)
+        
+        score, metric_img = METRICS[metric](sample_baseline, sample_secondary)
+        metric_status = score > METRICS_PASS_THRESHOLD[metric]
+
+        # Save metric values
+        with open(metrics_output_file, 'a') as f:
+            run_info = os.path.splitext(fname)[0]
+            metric_status_str = "PASS ✅" if metric_status else "FAIL ❌"
+            date_str = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+            f.write(f"| {date_str} | {run_info} | {metric} | {metric_status_str} | {score} | \n")
+
+        # Save metric image
+        metric_img_dir = os.path.join(img_output_dir, metric)
+        os.makedirs(metric_img_dir, exist_ok=True)
+        output_filename = f'{fname}'
+        Image.fromarray(metric_img).save(os.path.join(metric_img_dir, output_filename))
+
+        assert score > METRICS_PASS_THRESHOLD[metric]
+
+    def read_img(self, filename: str) -> np.ndarray:
+        cvImg = imread(filename)
+        cvImg = cvtColor(cvImg, COLOR_BGR2RGB)
+        return cvImg
+
+    def image_grid(self, img_list: list[list[Image.Image]]):
+        # imgs is a 2D list of images
+        # Assumes the input images are a rectangular grid of equal sized images
+        rows = len(img_list)
+        cols = len(img_list[0])
+
+        w, h = img_list[0][0].size
+        grid = Image.new('RGB', size=(cols*w, rows*h))
+        
+        for i, row in enumerate(img_list):
+            for j, img in enumerate(row):
+                grid.paste(img, box=(j*w, i*h))
+        return grid
+
+    def lookup_score_from_fname(self,
+                                fname: str,
+                                metrics_output_file: str
+        ) -> float:
+        fname_basestr = os.path.splitext(fname)[0]
+        with open(metrics_output_file, 'r') as f:
+            for line in f:
+                if fname_basestr in line:
+                    score = float(line.split('|')[5])
+                    return score
+        raise ValueError(f"Could not find score for {fname} in {metrics_output_file}")
+
+    def gather_file_basenames(self, directory: str):
+        files = []
+        for file in os.listdir(directory):
+            if file.endswith(".png"):
+                files.append(file)
+        return files
+
+    def read_file_prompt(self, fname:str) -> str:
+        # Read prompt from image file metadata
+        img = Image.open(fname)
+        img.load()
+        return img.info['prompt']
+    
+    def find_file_match(self, baseline_file: str, file_paths: List[str]):
+        # Find a file in file_paths with matching metadata to baseline_file
+        baseline_prompt = self.read_file_prompt(baseline_file)
+
+        # Do not match empty prompts
+        if baseline_prompt is None or baseline_prompt == "":
+            return None
+
+        # Find file match
+        # Reorder test_file_names so that the file with matching name is first
+        # This is an optimization because matching file names are more likely 
+        # to have matching metadata if they were generated with the same script
+        basename = os.path.basename(baseline_file)
+        file_path_basenames = [os.path.basename(f) for f in file_paths]
+        if basename in file_path_basenames:
+            match_index = file_path_basenames.index(basename)
+            file_paths.insert(0, file_paths.pop(match_index))
+
+        for f in file_paths:
+            test_file_prompt = self.read_file_prompt(f)
+            if baseline_prompt == test_file_prompt:
+                return f
\ No newline at end of file
diff --git a/ComfyUI/tests/conftest.py b/ComfyUI/tests/conftest.py
new file mode 100644
index 0000000000000000000000000000000000000000..1a35880af5bf86f4a1680b6835b1dcf2e4ef59c8
--- /dev/null
+++ b/ComfyUI/tests/conftest.py
@@ -0,0 +1,36 @@
+import os
+import pytest
+
+# Command line arguments for pytest
+def pytest_addoption(parser):
+    parser.addoption('--output_dir', action="store", default='tests/inference/samples', help='Output directory for generated images')
+    parser.addoption("--listen", type=str, default="127.0.0.1", metavar="IP", nargs="?", const="0.0.0.0", help="Specify the IP address to listen on (default: 127.0.0.1). If --listen is provided without an argument, it defaults to 0.0.0.0. (listens on all)")
+    parser.addoption("--port", type=int, default=8188, help="Set the listen port.")
+
+# This initializes args at the beginning of the test session
+@pytest.fixture(scope="session", autouse=True)
+def args_pytest(pytestconfig):
+    args = {}
+    args['output_dir'] = pytestconfig.getoption('output_dir')
+    args['listen'] = pytestconfig.getoption('listen')
+    args['port'] = pytestconfig.getoption('port')
+
+    os.makedirs(args['output_dir'], exist_ok=True)
+
+    return args
+
+def pytest_collection_modifyitems(items):
+    # Modifies items so tests run in the correct order
+    
+    LAST_TESTS = ['test_quality']
+
+    # Move the last items to the end
+    last_items = []
+    for test_name in LAST_TESTS:
+        for item in items.copy():
+            print(item.module.__name__, item)
+            if item.module.__name__  == test_name:
+                last_items.append(item)
+                items.remove(item)
+
+    items.extend(last_items)
diff --git a/ComfyUI/tests/inference/__init__.py b/ComfyUI/tests/inference/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/tests/inference/extra_model_paths.yaml b/ComfyUI/tests/inference/extra_model_paths.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..75b2e1ae4a680d5cb06425cae27829a363911a5f
--- /dev/null
+++ b/ComfyUI/tests/inference/extra_model_paths.yaml
@@ -0,0 +1,4 @@
+# Config for testing nodes
+testing:
+    custom_nodes: tests/inference/testing_nodes
+
diff --git a/ComfyUI/tests/inference/graphs/default_graph_sdxl1_0.json b/ComfyUI/tests/inference/graphs/default_graph_sdxl1_0.json
new file mode 100644
index 0000000000000000000000000000000000000000..c06c6829c6253cc71982f3714620bd10dd41bd73
--- /dev/null
+++ b/ComfyUI/tests/inference/graphs/default_graph_sdxl1_0.json
@@ -0,0 +1,144 @@
+{
+    "4": {
+      "inputs": {
+        "ckpt_name": "sd_xl_base_1.0.safetensors"
+      },
+      "class_type": "CheckpointLoaderSimple"
+    },
+    "5": {
+      "inputs": {
+        "width": 1024,
+        "height": 1024,
+        "batch_size": 1
+      },
+      "class_type": "EmptyLatentImage"
+    },
+    "6": {
+      "inputs": {
+        "text": "a photo of a cat",
+        "clip": [
+          "4",
+          1
+        ]
+      },
+      "class_type": "CLIPTextEncode"
+    },
+    "10": {
+      "inputs": {
+        "add_noise": "enable",
+        "noise_seed": 42,
+        "steps": 20,
+        "cfg": 7.5,
+        "sampler_name": "euler",
+        "scheduler": "normal",
+        "start_at_step": 0,
+        "end_at_step": 32,
+        "return_with_leftover_noise": "enable",
+        "model": [
+          "4",
+          0
+        ],
+        "positive": [
+          "6",
+          0
+        ],
+        "negative": [
+          "15",
+          0
+        ],
+        "latent_image": [
+          "5",
+          0
+        ]
+      },
+      "class_type": "KSamplerAdvanced"
+    },
+    "12": {
+      "inputs": {
+        "samples": [
+          "14",
+          0
+        ],
+        "vae": [
+          "4",
+          2
+        ]
+      },
+      "class_type": "VAEDecode"
+    },
+    "13": {
+      "inputs": {
+        "filename_prefix": "test_inference",
+        "images": [
+          "12",
+          0
+        ]
+      },
+      "class_type": "SaveImage"
+    },
+    "14": {
+      "inputs": {
+        "add_noise": "disable",
+        "noise_seed": 42,
+        "steps": 20,
+        "cfg": 7.5,
+        "sampler_name": "euler",
+        "scheduler": "normal",
+        "start_at_step": 32,
+        "end_at_step": 10000,
+        "return_with_leftover_noise": "disable",
+        "model": [
+          "16",
+          0
+        ],
+        "positive": [
+          "17",
+          0
+        ],
+        "negative": [
+          "20",
+          0
+        ],
+        "latent_image": [
+          "10",
+          0
+        ]
+      },
+      "class_type": "KSamplerAdvanced"
+    },
+    "15": {
+      "inputs": {
+        "conditioning": [
+          "6",
+          0
+        ]
+      },
+      "class_type": "ConditioningZeroOut"
+    },
+    "16": {
+      "inputs": {
+        "ckpt_name": "sd_xl_refiner_1.0.safetensors"
+      },
+      "class_type": "CheckpointLoaderSimple"
+    },
+    "17": {
+      "inputs": {
+        "text": "a photo of a cat",
+        "clip": [
+          "16",
+          1
+        ]
+      },
+      "class_type": "CLIPTextEncode"
+    },
+    "20": {
+      "inputs": {
+        "text": "",
+        "clip": [
+          "16",
+          1
+        ]
+      },
+      "class_type": "CLIPTextEncode"
+    }
+  }
\ No newline at end of file
diff --git a/ComfyUI/tests/inference/test_execution.py b/ComfyUI/tests/inference/test_execution.py
new file mode 100644
index 0000000000000000000000000000000000000000..c7daddeb63663fefd1e70d611352f4ba9845baa8
--- /dev/null
+++ b/ComfyUI/tests/inference/test_execution.py
@@ -0,0 +1,498 @@
+from io import BytesIO
+import numpy
+from PIL import Image
+import pytest
+from pytest import fixture
+import time
+import torch
+from typing import Union, Dict
+import json
+import subprocess
+import websocket #NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
+import uuid
+import urllib.request
+import urllib.parse
+import urllib.error
+from comfy_execution.graph_utils import GraphBuilder, Node
+
+class RunResult:
+    def __init__(self, prompt_id: str):
+        self.outputs: Dict[str,Dict] = {}
+        self.runs: Dict[str,bool] = {}
+        self.prompt_id: str = prompt_id
+
+    def get_output(self, node: Node):
+        return self.outputs.get(node.id, None)
+
+    def did_run(self, node: Node):
+        return self.runs.get(node.id, False)
+
+    def get_images(self, node: Node):
+        output = self.get_output(node)
+        if output is None:
+            return []
+        return output.get('image_objects', [])
+
+    def get_prompt_id(self):
+        return self.prompt_id
+
+class ComfyClient:
+    def __init__(self):
+        self.test_name = ""
+
+    def connect(self, 
+                    listen:str = '127.0.0.1', 
+                    port:Union[str,int] = 8188,
+                    client_id: str = str(uuid.uuid4())
+                    ):
+        self.client_id = client_id
+        self.server_address = f"{listen}:{port}"
+        ws = websocket.WebSocket()
+        ws.connect("ws://{}/ws?clientId={}".format(self.server_address, self.client_id))
+        self.ws = ws
+
+    def queue_prompt(self, prompt):
+        p = {"prompt": prompt, "client_id": self.client_id}
+        data = json.dumps(p).encode('utf-8')
+        req =  urllib.request.Request("http://{}/prompt".format(self.server_address), data=data)
+        return json.loads(urllib.request.urlopen(req).read())
+
+    def get_image(self, filename, subfolder, folder_type):
+        data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
+        url_values = urllib.parse.urlencode(data)
+        with urllib.request.urlopen("http://{}/view?{}".format(self.server_address, url_values)) as response:
+            return response.read()
+
+    def get_history(self, prompt_id):
+        with urllib.request.urlopen("http://{}/history/{}".format(self.server_address, prompt_id)) as response:
+            return json.loads(response.read())
+
+    def set_test_name(self, name):
+        self.test_name = name
+
+    def run(self, graph):
+        prompt = graph.finalize()
+        for node in graph.nodes.values():
+            if node.class_type == 'SaveImage':
+                node.inputs['filename_prefix'] = self.test_name
+
+        prompt_id = self.queue_prompt(prompt)['prompt_id']
+        result = RunResult(prompt_id)
+        while True:
+            out = self.ws.recv()
+            if isinstance(out, str):
+                message = json.loads(out)
+                if message['type'] == 'executing':
+                    data = message['data']
+                    if data['prompt_id'] != prompt_id:
+                        continue
+                    if data['node'] is None:
+                        break
+                    result.runs[data['node']] = True
+                elif message['type'] == 'execution_error':
+                    raise Exception(message['data'])
+                elif message['type'] == 'execution_cached':
+                    pass # Probably want to store this off for testing
+
+        history = self.get_history(prompt_id)[prompt_id]
+        for node_id in history['outputs']:
+            node_output = history['outputs'][node_id]
+            result.outputs[node_id] = node_output
+            images_output = []
+            if 'images' in node_output:
+                for image in node_output['images']:
+                    image_data = self.get_image(image['filename'], image['subfolder'], image['type'])
+                    image_obj = Image.open(BytesIO(image_data))
+                    images_output.append(image_obj)
+                node_output['image_objects'] = images_output
+
+        return result
+
+#
+# Loop through these variables
+#
+@pytest.mark.execution
+class TestExecution:
+    #
+    # Initialize server and client
+    #
+    @fixture(scope="class", autouse=True, params=[
+        # (use_lru, lru_size)
+        (False, 0),
+        (True, 0),
+        (True, 100),
+    ])
+    def _server(self, args_pytest, request):
+        # Start server
+        pargs = [
+            'python','main.py', 
+            '--output-directory', args_pytest["output_dir"],
+            '--listen', args_pytest["listen"],
+            '--port', str(args_pytest["port"]),
+            '--extra-model-paths-config', 'tests/inference/extra_model_paths.yaml',
+        ]
+        use_lru, lru_size = request.param
+        if use_lru:
+            pargs += ['--cache-lru', str(lru_size)]
+        print("Running server with args:", pargs)
+        p = subprocess.Popen(pargs)
+        yield
+        p.kill()
+        torch.cuda.empty_cache()
+
+    def start_client(self, listen:str, port:int):
+        # Start client
+        comfy_client = ComfyClient()
+        # Connect to server (with retries)
+        n_tries = 5
+        for i in range(n_tries):
+            time.sleep(4)
+            try:
+                comfy_client.connect(listen=listen, port=port)
+            except ConnectionRefusedError as e:
+                print(e)
+                print(f"({i+1}/{n_tries}) Retrying...")
+            else:
+                break
+        return comfy_client
+
+    @fixture(scope="class", autouse=True)
+    def shared_client(self, args_pytest, _server):
+        client = self.start_client(args_pytest["listen"], args_pytest["port"])
+        yield client
+        del client
+        torch.cuda.empty_cache()
+
+    @fixture
+    def client(self, shared_client, request):
+        shared_client.set_test_name(f"execution[{request.node.name}]")
+        yield shared_client
+
+    @fixture
+    def builder(self, request):
+        yield GraphBuilder(prefix=request.node.name)
+
+    def test_lazy_input(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1)
+        mask = g.node("StubMask", value=0.0, height=512, width=512, batch_size=1)
+
+        lazy_mix = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0))
+        output = g.node("SaveImage", images=lazy_mix.out(0))
+        result = client.run(g)
+
+        result_image = result.get_images(output)[0]
+        assert numpy.array(result_image).any() == 0, "Image should be black"
+        assert result.did_run(input1)
+        assert not result.did_run(input2)
+        assert result.did_run(mask)
+        assert result.did_run(lazy_mix)
+
+    def test_full_cache(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        input2 = g.node("StubImage", content="NOISE", height=512, width=512, batch_size=1)
+        mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1)
+
+        lazy_mix = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0))
+        g.node("SaveImage", images=lazy_mix.out(0))
+
+        client.run(g)
+        result2 = client.run(g)
+        for node_id, node in g.nodes.items():
+            assert not result2.did_run(node), f"Node {node_id} ran, but should have been cached"
+
+    def test_partial_cache(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        input2 = g.node("StubImage", content="NOISE", height=512, width=512, batch_size=1)
+        mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1)
+
+        lazy_mix = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0))
+        g.node("SaveImage", images=lazy_mix.out(0))
+
+        client.run(g)
+        mask.inputs['value'] = 0.4
+        result2 = client.run(g)
+        assert not result2.did_run(input1), "Input1 should have been cached"
+        assert not result2.did_run(input2), "Input2 should have been cached"
+
+    def test_error(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        # Different size of the two images
+        input2 = g.node("StubImage", content="NOISE", height=256, width=256, batch_size=1)
+        mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1)
+
+        lazy_mix = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0))
+        g.node("SaveImage", images=lazy_mix.out(0))
+
+        try:
+            client.run(g)
+            assert False, "Should have raised an error"
+        except Exception as e:
+            assert 'prompt_id' in e.args[0], f"Did not get back a proper error message: {e}"
+
+    @pytest.mark.parametrize("test_value, expect_error", [
+        (5, True),
+        ("foo", True),
+        (5.0, False),
+    ])
+    def test_validation_error_literal(self, test_value, expect_error, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        validation1 = g.node("TestCustomValidation1", input1=test_value, input2=3.0)
+        g.node("SaveImage", images=validation1.out(0))
+
+        if expect_error:
+            with pytest.raises(urllib.error.HTTPError):
+                client.run(g)
+        else:
+            client.run(g)
+
+    @pytest.mark.parametrize("test_type, test_value", [
+        ("StubInt", 5),
+        ("StubFloat", 5.0)
+    ])
+    def test_validation_error_edge1(self, test_type, test_value, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        stub = g.node(test_type, value=test_value)
+        validation1 = g.node("TestCustomValidation1", input1=stub.out(0), input2=3.0)
+        g.node("SaveImage", images=validation1.out(0))
+
+        with pytest.raises(urllib.error.HTTPError):
+            client.run(g)
+
+    @pytest.mark.parametrize("test_type, test_value, expect_error", [
+        ("StubInt", 5, True),
+        ("StubFloat", 5.0, False)
+    ])
+    def test_validation_error_edge2(self, test_type, test_value, expect_error, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        stub = g.node(test_type, value=test_value)
+        validation2 = g.node("TestCustomValidation2", input1=stub.out(0), input2=3.0)
+        g.node("SaveImage", images=validation2.out(0))
+
+        if expect_error:
+            with pytest.raises(urllib.error.HTTPError):
+                client.run(g)
+        else:
+            client.run(g)
+
+    @pytest.mark.parametrize("test_type, test_value, expect_error", [
+        ("StubInt", 5, True),
+        ("StubFloat", 5.0, False)
+    ])
+    def test_validation_error_edge3(self, test_type, test_value, expect_error, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        stub = g.node(test_type, value=test_value)
+        validation3 = g.node("TestCustomValidation3", input1=stub.out(0), input2=3.0)
+        g.node("SaveImage", images=validation3.out(0))
+
+        if expect_error:
+            with pytest.raises(urllib.error.HTTPError):
+                client.run(g)
+        else:
+            client.run(g)
+
+    @pytest.mark.parametrize("test_type, test_value, expect_error", [
+        ("StubInt", 5, True),
+        ("StubFloat", 5.0, False)
+    ])
+    def test_validation_error_edge4(self, test_type, test_value, expect_error, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        stub = g.node(test_type, value=test_value)
+        validation4 = g.node("TestCustomValidation4", input1=stub.out(0), input2=3.0)
+        g.node("SaveImage", images=validation4.out(0))
+
+        if expect_error:
+            with pytest.raises(urllib.error.HTTPError):
+                client.run(g)
+        else:
+            client.run(g)
+
+    @pytest.mark.parametrize("test_value1, test_value2, expect_error", [
+        (0.0, 0.5, False),
+        (0.0, 5.0, False),
+        (0.0, 7.0, True)
+    ])
+    def test_validation_error_kwargs(self, test_value1, test_value2, expect_error, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        validation5 = g.node("TestCustomValidation5", input1=test_value1, input2=test_value2)
+        g.node("SaveImage", images=validation5.out(0))
+
+        if expect_error:
+            with pytest.raises(urllib.error.HTTPError):
+                client.run(g)
+        else:
+            client.run(g)
+
+    def test_cycle_error(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1)
+        mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1)
+
+        lazy_mix1 = g.node("TestLazyMixImages", image1=input1.out(0), mask=mask.out(0))
+        lazy_mix2 = g.node("TestLazyMixImages", image1=lazy_mix1.out(0), image2=input2.out(0), mask=mask.out(0))
+        g.node("SaveImage", images=lazy_mix2.out(0))
+
+        # When the cycle exists on initial submission, it should raise a validation error
+        with pytest.raises(urllib.error.HTTPError):
+            client.run(g)
+
+    def test_dynamic_cycle_error(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1)
+        generator = g.node("TestDynamicDependencyCycle", input1=input1.out(0), input2=input2.out(0))
+        g.node("SaveImage", images=generator.out(0))
+
+        # When the cycle is in a graph that is generated dynamically, it should raise a runtime error
+        try:
+            client.run(g)
+            assert False, "Should have raised an error"
+        except Exception as e:
+            assert 'prompt_id' in e.args[0], f"Did not get back a proper error message: {e}"
+            assert e.args[0]['node_id'] == generator.id, "Error should have been on the generator node"
+
+    def test_missing_node_error(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        input2 = g.node("StubImage", id="removeme", content="WHITE", height=512, width=512, batch_size=1)
+        input3 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1)
+        mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1)
+        mix1 = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0))
+        mix2 = g.node("TestLazyMixImages", image1=input1.out(0), image2=input3.out(0), mask=mask.out(0))
+        # We have multiple outputs. The first is invalid, but the second is valid
+        g.node("SaveImage", images=mix1.out(0))
+        g.node("SaveImage", images=mix2.out(0))
+        g.remove_node("removeme")
+        
+        client.run(g)
+
+        # Add back in the missing node to make sure the error doesn't break the server
+        input2 = g.node("StubImage", id="removeme", content="WHITE", height=512, width=512, batch_size=1)
+        client.run(g)
+
+    def test_custom_is_changed(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        # Creating the nodes in this specific order previously caused a bug
+        save = g.node("SaveImage")
+        is_changed = g.node("TestCustomIsChanged", should_change=False)
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+
+        save.set_input('images', is_changed.out(0))
+        is_changed.set_input('image', input1.out(0))
+
+        result1 = client.run(g)
+        result2 = client.run(g)
+        is_changed.set_input('should_change', True)
+        result3 = client.run(g)
+        result4 = client.run(g)
+        assert result1.did_run(is_changed), "is_changed should have been run"
+        assert not result2.did_run(is_changed), "is_changed should have been cached"
+        assert result3.did_run(is_changed), "is_changed should have been re-run"
+        assert result4.did_run(is_changed), "is_changed should not have been cached"
+
+    def test_undeclared_inputs(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1)
+        input3 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        input4 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        average = g.node("TestVariadicAverage", input1=input1.out(0), input2=input2.out(0), input3=input3.out(0), input4=input4.out(0))
+        output = g.node("SaveImage", images=average.out(0))
+
+        result = client.run(g)
+        result_image = result.get_images(output)[0]
+        expected = 255 // 4
+        assert numpy.array(result_image).min() == expected and numpy.array(result_image).max() == expected, "Image should be grey"
+
+    def test_for_loop(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        iterations = 4
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1)
+        is_changed = g.node("TestCustomIsChanged", should_change=True, image=input2.out(0))
+        for_open = g.node("TestForLoopOpen", remaining=iterations, initial_value1=is_changed.out(0))
+        average = g.node("TestVariadicAverage", input1=input1.out(0), input2=for_open.out(2))
+        for_close = g.node("TestForLoopClose", flow_control=for_open.out(0), initial_value1=average.out(0))
+        output = g.node("SaveImage", images=for_close.out(0))
+
+        for iterations in range(1, 5):
+            for_open.set_input('remaining', iterations)
+            result = client.run(g)
+            result_image = result.get_images(output)[0]
+            expected = 255 // (2 ** iterations)
+            assert numpy.array(result_image).min() == expected and numpy.array(result_image).max() == expected, "Image should be grey"
+            assert result.did_run(is_changed)
+
+    def test_mixed_expansion_returns(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        val_list = g.node("TestMakeListNode", value1=0.1, value2=0.2, value3=0.3)
+        mixed = g.node("TestMixedExpansionReturns", input1=val_list.out(0))
+        output_dynamic = g.node("SaveImage", images=mixed.out(0))
+        output_literal = g.node("SaveImage", images=mixed.out(1))
+
+        result = client.run(g)
+        images_dynamic = result.get_images(output_dynamic)
+        assert len(images_dynamic) == 3, "Should have 2 images"
+        assert numpy.array(images_dynamic[0]).min() == 25 and numpy.array(images_dynamic[0]).max() == 25, "First image should be 0.1"
+        assert numpy.array(images_dynamic[1]).min() == 51 and numpy.array(images_dynamic[1]).max() == 51, "Second image should be 0.2"
+        assert numpy.array(images_dynamic[2]).min() == 76 and numpy.array(images_dynamic[2]).max() == 76, "Third image should be 0.3"
+
+        images_literal = result.get_images(output_literal)
+        assert len(images_literal) == 3, "Should have 2 images"
+        for i in range(3):
+            assert numpy.array(images_literal[i]).min() == 255 and numpy.array(images_literal[i]).max() == 255, "All images should be white"
+
+    def test_mixed_lazy_results(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        val_list = g.node("TestMakeListNode", value1=0.0, value2=0.5, value3=1.0)
+        mask = g.node("StubMask", value=val_list.out(0), height=512, width=512, batch_size=1)
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+        input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1)
+        mix = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0))
+        rebatch = g.node("RebatchImages", images=mix.out(0), batch_size=3)
+        output = g.node("SaveImage", images=rebatch.out(0))
+
+        result = client.run(g)
+        images = result.get_images(output)
+        assert len(images) == 3, "Should have 3 image"
+        assert numpy.array(images[0]).min() == 0 and numpy.array(images[0]).max() == 0, "First image should be 0.0"
+        assert numpy.array(images[1]).min() == 127 and numpy.array(images[1]).max() == 127, "Second image should be 0.5"
+        assert numpy.array(images[2]).min() == 255 and numpy.array(images[2]).max() == 255, "Third image should be 1.0"
+
+    def test_output_reuse(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+
+        output1 = g.node("SaveImage", images=input1.out(0))
+        output2 = g.node("SaveImage", images=input1.out(0))
+
+        result = client.run(g)
+        images1 = result.get_images(output1)
+        images2 = result.get_images(output2)
+        assert len(images1) == 1, "Should have 1 image"
+        assert len(images2) == 1, "Should have 1 image"
+
+
+    # This tests that only constant outputs are used in the call to `IS_CHANGED`
+    def test_is_changed_with_outputs(self, client: ComfyClient, builder: GraphBuilder):
+        g = builder
+        input1 = g.node("StubConstantImage", value=0.5, height=512, width=512, batch_size=1)
+        test_node = g.node("TestIsChangedWithConstants", image=input1.out(0), value=0.5)
+
+        output = g.node("PreviewImage", images=test_node.out(0))
+
+        result = client.run(g)
+        images = result.get_images(output)
+        assert len(images) == 1, "Should have 1 image"
+        assert numpy.array(images[0]).min() == 63 and numpy.array(images[0]).max() == 63, "Image should have value 0.25"
+
+        result = client.run(g)
+        images = result.get_images(output)
+        assert len(images) == 1, "Should have 1 image"
+        assert numpy.array(images[0]).min() == 63 and numpy.array(images[0]).max() == 63, "Image should have value 0.25"
+        assert not result.did_run(test_node), "The execution should have been cached"
diff --git a/ComfyUI/tests/inference/test_inference.py b/ComfyUI/tests/inference/test_inference.py
new file mode 100644
index 0000000000000000000000000000000000000000..2e11778f22cfda939a599c4396525f8a68a5e673
--- /dev/null
+++ b/ComfyUI/tests/inference/test_inference.py
@@ -0,0 +1,238 @@
+from copy import deepcopy
+from io import BytesIO
+from urllib import request
+import numpy
+import os
+from PIL import Image
+import pytest
+from pytest import fixture
+import time
+import torch
+from typing import Union
+import json
+import subprocess
+import websocket #NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
+import uuid
+import urllib.request
+import urllib.parse
+
+
+from comfy.samplers import KSampler
+
+"""
+These tests generate and save images through a range of parameters
+"""
+
+class ComfyGraph:
+    def __init__(self, 
+                 graph: dict,
+                 sampler_nodes: list[str],
+                 ):
+        self.graph = graph
+        self.sampler_nodes = sampler_nodes
+
+    def set_prompt(self, prompt, negative_prompt=None):
+        # Sets the prompt for the sampler nodes (eg. base and refiner)
+        for node in self.sampler_nodes:
+            prompt_node = self.graph[node]['inputs']['positive'][0]
+            self.graph[prompt_node]['inputs']['text'] = prompt
+            if negative_prompt:
+                negative_prompt_node = self.graph[node]['inputs']['negative'][0]
+                self.graph[negative_prompt_node]['inputs']['text'] = negative_prompt
+
+    def set_sampler_name(self, sampler_name:str, ):
+        # sets the sampler name for the sampler nodes (eg. base and refiner)
+        for node in self.sampler_nodes:
+            self.graph[node]['inputs']['sampler_name'] = sampler_name
+    
+    def set_scheduler(self, scheduler:str):
+        # sets the sampler name for the sampler nodes (eg. base and refiner)
+        for node in self.sampler_nodes:
+            self.graph[node]['inputs']['scheduler'] = scheduler
+    
+    def set_filename_prefix(self, prefix:str):
+        # sets the filename prefix for the save nodes
+        for node in self.graph:
+            if self.graph[node]['class_type'] == 'SaveImage':
+                self.graph[node]['inputs']['filename_prefix'] = prefix
+
+
+class ComfyClient:
+    # From examples/websockets_api_example.py
+
+    def connect(self, 
+                    listen:str = '127.0.0.1', 
+                    port:Union[str,int] = 8188,
+                    client_id: str = str(uuid.uuid4())
+                    ):
+        self.client_id = client_id
+        self.server_address = f"{listen}:{port}"
+        ws = websocket.WebSocket()
+        ws.connect("ws://{}/ws?clientId={}".format(self.server_address, self.client_id))
+        self.ws = ws
+
+    def queue_prompt(self, prompt):
+        p = {"prompt": prompt, "client_id": self.client_id}
+        data = json.dumps(p).encode('utf-8')
+        req =  urllib.request.Request("http://{}/prompt".format(self.server_address), data=data)
+        return json.loads(urllib.request.urlopen(req).read())
+
+    def get_image(self, filename, subfolder, folder_type):
+        data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
+        url_values = urllib.parse.urlencode(data)
+        with urllib.request.urlopen("http://{}/view?{}".format(self.server_address, url_values)) as response:
+            return response.read()
+
+    def get_history(self, prompt_id):
+        with urllib.request.urlopen("http://{}/history/{}".format(self.server_address, prompt_id)) as response:
+            return json.loads(response.read())
+
+    def get_images(self, graph, save=True):
+        prompt = graph
+        if not save:
+            # Replace save nodes with preview nodes
+            prompt_str = json.dumps(prompt)
+            prompt_str = prompt_str.replace('SaveImage', 'PreviewImage')
+            prompt = json.loads(prompt_str)
+
+        prompt_id = self.queue_prompt(prompt)['prompt_id']
+        output_images = {}
+        while True:
+            out = self.ws.recv()
+            if isinstance(out, str):
+                message = json.loads(out)
+                if message['type'] == 'executing':
+                    data = message['data']
+                    if data['node'] is None and data['prompt_id'] == prompt_id:
+                        break #Execution is done
+            else:
+                continue #previews are binary data
+
+        history = self.get_history(prompt_id)[prompt_id]
+        for node_id in history['outputs']:
+            node_output = history['outputs'][node_id]
+            images_output = []
+            if 'images' in node_output:
+                for image in node_output['images']:
+                    image_data = self.get_image(image['filename'], image['subfolder'], image['type'])
+                    images_output.append(image_data)
+            output_images[node_id] = images_output
+
+        return output_images
+
+#
+# Initialize graphs
+#
+default_graph_file = 'tests/inference/graphs/default_graph_sdxl1_0.json'
+with open(default_graph_file, 'r') as file:
+    default_graph = json.loads(file.read())
+DEFAULT_COMFY_GRAPH = ComfyGraph(graph=default_graph, sampler_nodes=['10','14'])
+DEFAULT_COMFY_GRAPH_ID = os.path.splitext(os.path.basename(default_graph_file))[0]
+
+#
+# Loop through these variables
+#
+comfy_graph_list = [DEFAULT_COMFY_GRAPH]
+comfy_graph_ids = [DEFAULT_COMFY_GRAPH_ID]
+prompt_list = [
+    'a painting of a cat',
+]
+
+sampler_list = KSampler.SAMPLERS
+scheduler_list = KSampler.SCHEDULERS
+
+@pytest.mark.inference
+@pytest.mark.parametrize("sampler", sampler_list)
+@pytest.mark.parametrize("scheduler", scheduler_list)
+@pytest.mark.parametrize("prompt", prompt_list)
+class TestInference:
+    #
+    # Initialize server and client
+    #
+    @fixture(scope="class", autouse=True)
+    def _server(self, args_pytest):
+        # Start server
+        p = subprocess.Popen([
+                'python','main.py', 
+                '--output-directory', args_pytest["output_dir"],
+                '--listen', args_pytest["listen"],
+                '--port', str(args_pytest["port"]),
+                ])
+        yield
+        p.kill()
+        torch.cuda.empty_cache()
+
+    def start_client(self, listen:str, port:int):
+        # Start client
+        comfy_client = ComfyClient()
+        # Connect to server (with retries)
+        n_tries = 5
+        for i in range(n_tries):
+            time.sleep(4)
+            try:
+                comfy_client.connect(listen=listen, port=port)
+            except ConnectionRefusedError as e:
+                print(e)
+                print(f"({i+1}/{n_tries}) Retrying...")
+            else:
+                break
+        return comfy_client
+
+    #
+    # Client and graph fixtures with server warmup
+    #
+    # Returns a "_client_graph", which is client-graph pair corresponding to an initialized server
+    # The "graph" is the default graph
+    @fixture(scope="class", params=comfy_graph_list, ids=comfy_graph_ids, autouse=True)
+    def _client_graph(self, request, args_pytest, _server) -> (ComfyClient, ComfyGraph):
+        comfy_graph = request.param
+        
+        # Start client
+        comfy_client = self.start_client(args_pytest["listen"], args_pytest["port"])
+
+        # Warm up pipeline
+        comfy_client.get_images(graph=comfy_graph.graph, save=False)
+
+        yield comfy_client, comfy_graph
+        del comfy_client
+        del comfy_graph
+        torch.cuda.empty_cache()
+
+    @fixture
+    def client(self, _client_graph):
+        client = _client_graph[0]
+        yield client
+    
+    @fixture
+    def comfy_graph(self, _client_graph):
+        # avoid mutating the graph
+        graph = deepcopy(_client_graph[1])
+        yield graph
+
+    def test_comfy(
+        self,
+        client,
+        comfy_graph,
+        sampler,
+        scheduler,
+        prompt,
+        request
+    ):
+        test_info = request.node.name
+        comfy_graph.set_filename_prefix(test_info)
+        # Settings for comfy graph
+        comfy_graph.set_sampler_name(sampler)
+        comfy_graph.set_scheduler(scheduler)
+        comfy_graph.set_prompt(prompt)
+
+        # Generate
+        images = client.get_images(comfy_graph.graph)
+
+        assert len(images) != 0, "No images generated"
+        # assert all images are not blank
+        for images_output in images.values():
+            for image_data in images_output:
+                pil_image = Image.open(BytesIO(image_data))
+                assert numpy.array(pil_image).any() != 0, "Image is blank"
+
+
diff --git a/ComfyUI/tests/inference/testing_nodes/testing-pack/__init__.py b/ComfyUI/tests/inference/testing_nodes/testing-pack/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..dcc71659a027c4a99d2e85ae1880f8fe7174e329
--- /dev/null
+++ b/ComfyUI/tests/inference/testing_nodes/testing-pack/__init__.py
@@ -0,0 +1,23 @@
+from .specific_tests import TEST_NODE_CLASS_MAPPINGS, TEST_NODE_DISPLAY_NAME_MAPPINGS
+from .flow_control import FLOW_CONTROL_NODE_CLASS_MAPPINGS, FLOW_CONTROL_NODE_DISPLAY_NAME_MAPPINGS
+from .util import UTILITY_NODE_CLASS_MAPPINGS, UTILITY_NODE_DISPLAY_NAME_MAPPINGS
+from .conditions import CONDITION_NODE_CLASS_MAPPINGS, CONDITION_NODE_DISPLAY_NAME_MAPPINGS
+from .stubs import TEST_STUB_NODE_CLASS_MAPPINGS, TEST_STUB_NODE_DISPLAY_NAME_MAPPINGS
+
+# NODE_CLASS_MAPPINGS = GENERAL_NODE_CLASS_MAPPINGS.update(COMPONENT_NODE_CLASS_MAPPINGS)
+# NODE_DISPLAY_NAME_MAPPINGS = GENERAL_NODE_DISPLAY_NAME_MAPPINGS.update(COMPONENT_NODE_DISPLAY_NAME_MAPPINGS)
+
+NODE_CLASS_MAPPINGS = {}
+NODE_CLASS_MAPPINGS.update(TEST_NODE_CLASS_MAPPINGS)
+NODE_CLASS_MAPPINGS.update(FLOW_CONTROL_NODE_CLASS_MAPPINGS)
+NODE_CLASS_MAPPINGS.update(UTILITY_NODE_CLASS_MAPPINGS)
+NODE_CLASS_MAPPINGS.update(CONDITION_NODE_CLASS_MAPPINGS)
+NODE_CLASS_MAPPINGS.update(TEST_STUB_NODE_CLASS_MAPPINGS)
+
+NODE_DISPLAY_NAME_MAPPINGS = {}
+NODE_DISPLAY_NAME_MAPPINGS.update(TEST_NODE_DISPLAY_NAME_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(FLOW_CONTROL_NODE_DISPLAY_NAME_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(UTILITY_NODE_DISPLAY_NAME_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(CONDITION_NODE_DISPLAY_NAME_MAPPINGS)
+NODE_DISPLAY_NAME_MAPPINGS.update(TEST_STUB_NODE_DISPLAY_NAME_MAPPINGS)
+
diff --git a/ComfyUI/tests/inference/testing_nodes/testing-pack/conditions.py b/ComfyUI/tests/inference/testing_nodes/testing-pack/conditions.py
new file mode 100644
index 0000000000000000000000000000000000000000..0c200ee2892d4747d9ec6965b6d33f2223e3c08a
--- /dev/null
+++ b/ComfyUI/tests/inference/testing_nodes/testing-pack/conditions.py
@@ -0,0 +1,194 @@
+import re
+import torch
+
+class TestIntConditions:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "a": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}),
+                "b": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}),
+                "operation": (["==", "!=", "<", ">", "<=", ">="],),
+            },
+        }
+
+    RETURN_TYPES = ("BOOLEAN",)
+    FUNCTION = "int_condition"
+
+    CATEGORY = "Testing/Logic"
+
+    def int_condition(self, a, b, operation):
+        if operation == "==":
+            return (a == b,)
+        elif operation == "!=":
+            return (a != b,)
+        elif operation == "<":
+            return (a < b,)
+        elif operation == ">":
+            return (a > b,)
+        elif operation == "<=":
+            return (a <= b,)
+        elif operation == ">=":
+            return (a >= b,)
+
+
+class TestFloatConditions:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "a": ("FLOAT", {"default": 0, "min": -999999999999.0, "max": 999999999999.0, "step": 1}),
+                "b": ("FLOAT", {"default": 0, "min": -999999999999.0, "max": 999999999999.0, "step": 1}),
+                "operation": (["==", "!=", "<", ">", "<=", ">="],),
+            },
+        }
+
+    RETURN_TYPES = ("BOOLEAN",)
+    FUNCTION = "float_condition"
+
+    CATEGORY = "Testing/Logic"
+
+    def float_condition(self, a, b, operation):
+        if operation == "==":
+            return (a == b,)
+        elif operation == "!=":
+            return (a != b,)
+        elif operation == "<":
+            return (a < b,)
+        elif operation == ">":
+            return (a > b,)
+        elif operation == "<=":
+            return (a <= b,)
+        elif operation == ">=":
+            return (a >= b,)
+
+class TestStringConditions:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "a": ("STRING", {"multiline": False}),
+                "b": ("STRING", {"multiline": False}),
+                "operation": (["a == b", "a != b", "a IN b", "a MATCH REGEX(b)", "a BEGINSWITH b", "a ENDSWITH b"],),
+                "case_sensitive": ("BOOLEAN", {"default": True}),
+            },
+        }
+
+    RETURN_TYPES = ("BOOLEAN",)
+    FUNCTION = "string_condition"
+
+    CATEGORY = "Testing/Logic"
+
+    def string_condition(self, a, b, operation, case_sensitive):
+        if not case_sensitive:
+            a = a.lower()
+            b = b.lower()
+
+        if operation == "a == b":
+            return (a == b,)
+        elif operation == "a != b":
+            return (a != b,)
+        elif operation == "a IN b":
+            return (a in b,)
+        elif operation == "a MATCH REGEX(b)":
+            try:
+                return (re.match(b, a) is not None,)
+            except:
+                return (False,)
+        elif operation == "a BEGINSWITH b":
+            return (a.startswith(b),)
+        elif operation == "a ENDSWITH b":
+            return (a.endswith(b),)
+
+class TestToBoolNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "value": ("*",),
+            },
+            "optional": {
+                "invert": ("BOOLEAN", {"default": False}),
+            },
+        }
+
+    RETURN_TYPES = ("BOOLEAN",)
+    FUNCTION = "to_bool"
+
+    CATEGORY = "Testing/Logic"
+
+    def to_bool(self, value, invert = False):
+        if isinstance(value, torch.Tensor):
+            if value.max().item() == 0 and value.min().item() == 0:
+                result = False
+            else:
+                result = True
+        else:
+            try:
+                result = bool(value)
+            except:
+                # Can't convert it? Well then it's something or other. I dunno, I'm not a Python programmer.
+                result = True
+
+        if invert:
+            result = not result
+
+        return (result,)
+
+class TestBoolOperationNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "a": ("BOOLEAN",),
+                "b": ("BOOLEAN",),
+                "op": (["a AND b", "a OR b", "a XOR b", "NOT a"],),
+            },
+        }
+
+    RETURN_TYPES = ("BOOLEAN",)
+    FUNCTION = "bool_operation"
+
+    CATEGORY = "Testing/Logic"
+
+    def bool_operation(self, a, b, op):
+        if op == "a AND b":
+            return (a and b,)
+        elif op == "a OR b":
+            return (a or b,)
+        elif op == "a XOR b":
+            return (a ^ b,)
+        elif op == "NOT a":
+            return (not a,)
+
+
+CONDITION_NODE_CLASS_MAPPINGS = {
+    "TestIntConditions": TestIntConditions,
+    "TestFloatConditions": TestFloatConditions,
+    "TestStringConditions": TestStringConditions,
+    "TestToBoolNode": TestToBoolNode,
+    "TestBoolOperationNode": TestBoolOperationNode,
+}
+
+CONDITION_NODE_DISPLAY_NAME_MAPPINGS = {
+    "TestIntConditions": "Int Condition",
+    "TestFloatConditions": "Float Condition",
+    "TestStringConditions": "String Condition",
+    "TestToBoolNode": "To Bool",
+    "TestBoolOperationNode": "Bool Operation",
+}
diff --git a/ComfyUI/tests/inference/testing_nodes/testing-pack/flow_control.py b/ComfyUI/tests/inference/testing_nodes/testing-pack/flow_control.py
new file mode 100644
index 0000000000000000000000000000000000000000..ba943be6072f2003ebe1e6aa996d2dd8370c8c09
--- /dev/null
+++ b/ComfyUI/tests/inference/testing_nodes/testing-pack/flow_control.py
@@ -0,0 +1,173 @@
+from comfy_execution.graph_utils import GraphBuilder, is_link
+from comfy_execution.graph import ExecutionBlocker
+from .tools import VariantSupport
+
+NUM_FLOW_SOCKETS = 5
+@VariantSupport()
+class TestWhileLoopOpen:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        inputs = {
+            "required": {
+                "condition": ("BOOLEAN", {"default": True}),
+            },
+            "optional": {
+            },
+        }
+        for i in range(NUM_FLOW_SOCKETS):
+            inputs["optional"][f"initial_value{i}"] = ("*",)
+        return inputs
+
+    RETURN_TYPES = tuple(["FLOW_CONTROL"] + ["*"] * NUM_FLOW_SOCKETS)
+    RETURN_NAMES = tuple(["FLOW_CONTROL"] + [f"value{i}" for i in range(NUM_FLOW_SOCKETS)])
+    FUNCTION = "while_loop_open"
+
+    CATEGORY = "Testing/Flow"
+
+    def while_loop_open(self, condition, **kwargs):
+        values = []
+        for i in range(NUM_FLOW_SOCKETS):
+            values.append(kwargs.get(f"initial_value{i}", None))
+        return tuple(["stub"] + values)
+
+@VariantSupport()
+class TestWhileLoopClose:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        inputs = {
+            "required": {
+                "flow_control": ("FLOW_CONTROL", {"rawLink": True}),
+                "condition": ("BOOLEAN", {"forceInput": True}),
+            },
+            "optional": {
+            },
+            "hidden": {
+                "dynprompt": "DYNPROMPT",
+                "unique_id": "UNIQUE_ID",
+            }
+        }
+        for i in range(NUM_FLOW_SOCKETS):
+            inputs["optional"][f"initial_value{i}"] = ("*",)
+        return inputs
+
+    RETURN_TYPES = tuple(["*"] * NUM_FLOW_SOCKETS)
+    RETURN_NAMES = tuple([f"value{i}" for i in range(NUM_FLOW_SOCKETS)])
+    FUNCTION = "while_loop_close"
+
+    CATEGORY = "Testing/Flow"
+
+    def explore_dependencies(self, node_id, dynprompt, upstream):
+        node_info = dynprompt.get_node(node_id)
+        if "inputs" not in node_info:
+            return
+        for k, v in node_info["inputs"].items():
+            if is_link(v):
+                parent_id = v[0]
+                if parent_id not in upstream:
+                    upstream[parent_id] = []
+                    self.explore_dependencies(parent_id, dynprompt, upstream)
+                upstream[parent_id].append(node_id)
+
+    def collect_contained(self, node_id, upstream, contained):
+        if node_id not in upstream:
+            return
+        for child_id in upstream[node_id]:
+            if child_id not in contained:
+                contained[child_id] = True
+                self.collect_contained(child_id, upstream, contained)
+
+
+    def while_loop_close(self, flow_control, condition, dynprompt=None, unique_id=None, **kwargs):
+        assert dynprompt is not None
+        if not condition:
+            # We're done with the loop
+            values = []
+            for i in range(NUM_FLOW_SOCKETS):
+                values.append(kwargs.get(f"initial_value{i}", None))
+            return tuple(values)
+
+        # We want to loop
+        upstream = {}
+        # Get the list of all nodes between the open and close nodes
+        self.explore_dependencies(unique_id, dynprompt, upstream)
+
+        contained = {}
+        open_node = flow_control[0]
+        self.collect_contained(open_node, upstream, contained)
+        contained[unique_id] = True
+        contained[open_node] = True
+
+        # We'll use the default prefix, but to avoid having node names grow exponentially in size,
+        # we'll use "Recurse" for the name of the recursively-generated copy of this node.
+        graph = GraphBuilder()
+        for node_id in contained:
+            original_node = dynprompt.get_node(node_id)
+            node = graph.node(original_node["class_type"], "Recurse" if node_id == unique_id else node_id)
+            node.set_override_display_id(node_id)
+        for node_id in contained:
+            original_node = dynprompt.get_node(node_id)
+            node = graph.lookup_node("Recurse" if node_id == unique_id else node_id)
+            assert node is not None
+            for k, v in original_node["inputs"].items():
+                if is_link(v) and v[0] in contained:
+                    parent = graph.lookup_node(v[0])
+                    assert parent is not None
+                    node.set_input(k, parent.out(v[1]))
+                else:
+                    node.set_input(k, v)
+        new_open = graph.lookup_node(open_node)
+        assert new_open is not None
+        for i in range(NUM_FLOW_SOCKETS):
+            key = f"initial_value{i}"
+            new_open.set_input(key, kwargs.get(key, None))
+        my_clone = graph.lookup_node("Recurse")
+        assert my_clone is not None
+        result = map(lambda x: my_clone.out(x), range(NUM_FLOW_SOCKETS))
+        return {
+            "result": tuple(result),
+            "expand": graph.finalize(),
+        }
+
+@VariantSupport()
+class TestExecutionBlockerNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        inputs = {
+            "required": {
+                "input": ("*",),
+                "block": ("BOOLEAN",),
+                "verbose": ("BOOLEAN", {"default": False}),
+            },
+        }
+        return inputs
+
+    RETURN_TYPES = ("*",)
+    RETURN_NAMES = ("output",)
+    FUNCTION = "execution_blocker"
+
+    CATEGORY = "Testing/Flow"
+
+    def execution_blocker(self, input, block, verbose):
+        if block:
+            return (ExecutionBlocker("Blocked Execution" if verbose else None),)
+        return (input,)
+
+FLOW_CONTROL_NODE_CLASS_MAPPINGS = {
+    "TestWhileLoopOpen": TestWhileLoopOpen,
+    "TestWhileLoopClose": TestWhileLoopClose,
+    "TestExecutionBlocker": TestExecutionBlockerNode,
+}
+FLOW_CONTROL_NODE_DISPLAY_NAME_MAPPINGS = {
+    "TestWhileLoopOpen": "While Loop Open",
+    "TestWhileLoopClose": "While Loop Close",
+    "TestExecutionBlocker": "Execution Blocker",
+}
diff --git a/ComfyUI/tests/inference/testing_nodes/testing-pack/specific_tests.py b/ComfyUI/tests/inference/testing_nodes/testing-pack/specific_tests.py
new file mode 100644
index 0000000000000000000000000000000000000000..dd81002378bf7fb99199b9768bddd79045666929
--- /dev/null
+++ b/ComfyUI/tests/inference/testing_nodes/testing-pack/specific_tests.py
@@ -0,0 +1,362 @@
+import torch
+from .tools import VariantSupport
+from comfy_execution.graph_utils import GraphBuilder
+
+class TestLazyMixImages:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image1": ("IMAGE",{"lazy": True}),
+                "image2": ("IMAGE",{"lazy": True}),
+                "mask": ("MASK",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "mix"
+
+    CATEGORY = "Testing/Nodes"
+
+    def check_lazy_status(self, mask, image1, image2):
+        mask_min = mask.min()
+        mask_max = mask.max()
+        needed = []
+        if image1 is None and (mask_min != 1.0 or mask_max != 1.0):
+            needed.append("image1")
+        if image2 is None and (mask_min != 0.0 or mask_max != 0.0):
+            needed.append("image2")
+        return needed
+
+    # Not trying to handle different batch sizes here just to keep the demo simple
+    def mix(self, mask, image1, image2):
+        mask_min = mask.min()
+        mask_max = mask.max()
+        if mask_min == 0.0 and mask_max == 0.0:
+            return (image1,)
+        elif mask_min == 1.0 and mask_max == 1.0:
+            return (image2,)
+
+        if len(mask.shape) == 2:
+            mask = mask.unsqueeze(0)
+        if len(mask.shape) == 3:
+            mask = mask.unsqueeze(3)
+        if mask.shape[3] < image1.shape[3]:
+            mask = mask.repeat(1, 1, 1, image1.shape[3])
+
+        result = image1 * (1. - mask) + image2 * mask,
+        return (result[0],)
+
+class TestVariadicAverage:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input1": ("IMAGE",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "variadic_average"
+
+    CATEGORY = "Testing/Nodes"
+
+    def variadic_average(self, input1, **kwargs):
+        inputs = [input1]
+        while 'input' + str(len(inputs) + 1) in kwargs:
+            inputs.append(kwargs['input' + str(len(inputs) + 1)])
+        return (torch.stack(inputs).mean(dim=0),)
+
+
+class TestCustomIsChanged:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+            },
+            "optional": {
+                "should_change": ("BOOL", {"default": False}),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "custom_is_changed"
+
+    CATEGORY = "Testing/Nodes"
+
+    def custom_is_changed(self, image, should_change=False):
+        return (image,)
+    
+    @classmethod
+    def IS_CHANGED(cls, should_change=False, *args, **kwargs):
+        if should_change:
+            return float("NaN")
+        else:
+            return False
+
+class TestIsChangedWithConstants:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "value": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0}),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "custom_is_changed"
+
+    CATEGORY = "Testing/Nodes"
+
+    def custom_is_changed(self, image, value):
+        return (image * value,)
+    
+    @classmethod
+    def IS_CHANGED(cls, image, value):
+        if image is None:
+            return value
+        else:
+            return image.mean().item() * value
+
+class TestCustomValidation1:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input1": ("IMAGE,FLOAT",),
+                "input2": ("IMAGE,FLOAT",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "custom_validation1"
+
+    CATEGORY = "Testing/Nodes"
+
+    def custom_validation1(self, input1, input2):
+        if isinstance(input1, float) and isinstance(input2, float):
+            result = torch.ones([1, 512, 512, 3]) * input1 * input2
+        else:
+            result = input1 * input2
+        return (result,)
+
+    @classmethod
+    def VALIDATE_INPUTS(cls, input1=None, input2=None):
+        if input1 is not None:
+            if not isinstance(input1, (torch.Tensor, float)):
+                return f"Invalid type of input1: {type(input1)}"
+        if input2 is not None:
+            if not isinstance(input2, (torch.Tensor, float)):
+                return f"Invalid type of input2: {type(input2)}"
+
+        return True
+
+class TestCustomValidation2:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input1": ("IMAGE,FLOAT",),
+                "input2": ("IMAGE,FLOAT",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "custom_validation2"
+
+    CATEGORY = "Testing/Nodes"
+
+    def custom_validation2(self, input1, input2):
+        if isinstance(input1, float) and isinstance(input2, float):
+            result = torch.ones([1, 512, 512, 3]) * input1 * input2
+        else:
+            result = input1 * input2
+        return (result,)
+
+    @classmethod
+    def VALIDATE_INPUTS(cls, input_types, input1=None, input2=None):
+        if input1 is not None:
+            if not isinstance(input1, (torch.Tensor, float)):
+                return f"Invalid type of input1: {type(input1)}"
+        if input2 is not None:
+            if not isinstance(input2, (torch.Tensor, float)):
+                return f"Invalid type of input2: {type(input2)}"
+
+        if 'input1' in input_types:
+            if input_types['input1'] not in ["IMAGE", "FLOAT"]:
+                return f"Invalid type of input1: {input_types['input1']}"
+        if 'input2' in input_types:
+            if input_types['input2'] not in ["IMAGE", "FLOAT"]:
+                return f"Invalid type of input2: {input_types['input2']}"
+
+        return True
+
+@VariantSupport()
+class TestCustomValidation3:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input1": ("IMAGE,FLOAT",),
+                "input2": ("IMAGE,FLOAT",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "custom_validation3"
+
+    CATEGORY = "Testing/Nodes"
+
+    def custom_validation3(self, input1, input2):
+        if isinstance(input1, float) and isinstance(input2, float):
+            result = torch.ones([1, 512, 512, 3]) * input1 * input2
+        else:
+            result = input1 * input2
+        return (result,)
+
+class TestCustomValidation4:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input1": ("FLOAT",),
+                "input2": ("FLOAT",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "custom_validation4"
+
+    CATEGORY = "Testing/Nodes"
+
+    def custom_validation4(self, input1, input2):
+        result = torch.ones([1, 512, 512, 3]) * input1 * input2
+        return (result,)
+
+    @classmethod
+    def VALIDATE_INPUTS(cls, input1, input2):
+        if input1 is not None:
+            if not isinstance(input1, float):
+                return f"Invalid type of input1: {type(input1)}"
+        if input2 is not None:
+            if not isinstance(input2, float):
+                return f"Invalid type of input2: {type(input2)}"
+
+        return True
+
+class TestCustomValidation5:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input1": ("FLOAT", {"min": 0.0, "max": 1.0}),
+                "input2": ("FLOAT", {"min": 0.0, "max": 1.0}),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "custom_validation5"
+
+    CATEGORY = "Testing/Nodes"
+
+    def custom_validation5(self, input1, input2):
+        value = input1 * input2
+        return (torch.ones([1, 512, 512, 3]) * value,)
+
+    @classmethod
+    def VALIDATE_INPUTS(cls, **kwargs):
+        if kwargs['input2'] == 7.0:
+            return "7s are not allowed. I've never liked 7s."
+        return True
+
+class TestDynamicDependencyCycle:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input1": ("IMAGE",),
+                "input2": ("IMAGE",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "dynamic_dependency_cycle"
+
+    CATEGORY = "Testing/Nodes"
+
+    def dynamic_dependency_cycle(self, input1, input2):
+        g = GraphBuilder()
+        mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1)
+        mix1 = g.node("TestLazyMixImages", image1=input1, mask=mask.out(0))
+        mix2 = g.node("TestLazyMixImages", image1=mix1.out(0), image2=input2, mask=mask.out(0))
+
+        # Create the cyle
+        mix1.set_input("image2", mix2.out(0))
+
+        return {
+            "result": (mix2.out(0),),
+            "expand": g.finalize(),
+        }
+
+class TestMixedExpansionReturns:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input1": ("FLOAT",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE","IMAGE")
+    FUNCTION = "mixed_expansion_returns"
+
+    CATEGORY = "Testing/Nodes"
+
+    def mixed_expansion_returns(self, input1):
+        white_image = torch.ones([1, 512, 512, 3])
+        if input1 <= 0.1:
+            return (torch.ones([1, 512, 512, 3]) * 0.1, white_image)
+        elif input1 <= 0.2:
+            return {
+                "result": (torch.ones([1, 512, 512, 3]) * 0.2, white_image),
+            }
+        else:
+            g = GraphBuilder()
+            mask = g.node("StubMask", value=0.3, height=512, width=512, batch_size=1)
+            black = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
+            white = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1)
+            mix = g.node("TestLazyMixImages", image1=black.out(0), image2=white.out(0), mask=mask.out(0))
+            return {
+                "result": (mix.out(0), white_image),
+                "expand": g.finalize(),
+            }
+
+TEST_NODE_CLASS_MAPPINGS = {
+    "TestLazyMixImages": TestLazyMixImages,
+    "TestVariadicAverage": TestVariadicAverage,
+    "TestCustomIsChanged": TestCustomIsChanged,
+    "TestIsChangedWithConstants": TestIsChangedWithConstants,
+    "TestCustomValidation1": TestCustomValidation1,
+    "TestCustomValidation2": TestCustomValidation2,
+    "TestCustomValidation3": TestCustomValidation3,
+    "TestCustomValidation4": TestCustomValidation4,
+    "TestCustomValidation5": TestCustomValidation5,
+    "TestDynamicDependencyCycle": TestDynamicDependencyCycle,
+    "TestMixedExpansionReturns": TestMixedExpansionReturns,
+}
+
+TEST_NODE_DISPLAY_NAME_MAPPINGS = {
+    "TestLazyMixImages": "Lazy Mix Images",
+    "TestVariadicAverage": "Variadic Average",
+    "TestCustomIsChanged": "Custom IsChanged",
+    "TestIsChangedWithConstants": "IsChanged With Constants",
+    "TestCustomValidation1": "Custom Validation 1",
+    "TestCustomValidation2": "Custom Validation 2",
+    "TestCustomValidation3": "Custom Validation 3",
+    "TestCustomValidation4": "Custom Validation 4",
+    "TestCustomValidation5": "Custom Validation 5",
+    "TestDynamicDependencyCycle": "Dynamic Dependency Cycle",
+    "TestMixedExpansionReturns": "Mixed Expansion Returns",
+}
diff --git a/ComfyUI/tests/inference/testing_nodes/testing-pack/stubs.py b/ComfyUI/tests/inference/testing_nodes/testing-pack/stubs.py
new file mode 100644
index 0000000000000000000000000000000000000000..a1df87529c65ffa46db64cc197f54aef376ff8c0
--- /dev/null
+++ b/ComfyUI/tests/inference/testing_nodes/testing-pack/stubs.py
@@ -0,0 +1,129 @@
+import torch
+
+class StubImage:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "content": (['WHITE', 'BLACK', 'NOISE'],),
+                "height": ("INT", {"default": 512, "min": 1, "max": 1024 ** 3, "step": 1}),
+                "width": ("INT", {"default": 512, "min": 1, "max": 4096 ** 3, "step": 1}),
+                "batch_size": ("INT", {"default": 1, "min": 1, "max": 1024 ** 3, "step": 1}),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "stub_image"
+
+    CATEGORY = "Testing/Stub Nodes"
+
+    def stub_image(self, content, height, width, batch_size):
+        if content == "WHITE":
+            return (torch.ones(batch_size, height, width, 3),)
+        elif content == "BLACK":
+            return (torch.zeros(batch_size, height, width, 3),)
+        elif content == "NOISE":
+            return (torch.rand(batch_size, height, width, 3),)
+
+class StubConstantImage:
+    def __init__(self):
+        pass
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "value": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
+                "height": ("INT", {"default": 512, "min": 1, "max": 1024 ** 3, "step": 1}),
+                "width": ("INT", {"default": 512, "min": 1, "max": 4096 ** 3, "step": 1}),
+                "batch_size": ("INT", {"default": 1, "min": 1, "max": 1024 ** 3, "step": 1}),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "stub_constant_image"
+
+    CATEGORY = "Testing/Stub Nodes"
+
+    def stub_constant_image(self, value, height, width, batch_size):
+        return (torch.ones(batch_size, height, width, 3) * value,)
+
+class StubMask:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "value": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
+                "height": ("INT", {"default": 512, "min": 1, "max": 1024 ** 3, "step": 1}),
+                "width": ("INT", {"default": 512, "min": 1, "max": 4096 ** 3, "step": 1}),
+                "batch_size": ("INT", {"default": 1, "min": 1, "max": 1024 ** 3, "step": 1}),
+            },
+        }
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "stub_mask"
+
+    CATEGORY = "Testing/Stub Nodes"
+
+    def stub_mask(self, value, height, width, batch_size):
+        return (torch.ones(batch_size, height, width) * value,)
+
+class StubInt:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "value": ("INT", {"default": 0, "min": -0xffffffff, "max": 0xffffffff, "step": 1}),
+            },
+        }
+
+    RETURN_TYPES = ("INT",)
+    FUNCTION = "stub_int"
+
+    CATEGORY = "Testing/Stub Nodes"
+
+    def stub_int(self, value):
+        return (value,)
+
+class StubFloat:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "value": ("FLOAT", {"default": 0.0, "min": -1.0e38, "max": 1.0e38, "step": 0.01}),
+            },
+        }
+
+    RETURN_TYPES = ("FLOAT",)
+    FUNCTION = "stub_float"
+
+    CATEGORY = "Testing/Stub Nodes"
+
+    def stub_float(self, value):
+        return (value,)
+
+TEST_STUB_NODE_CLASS_MAPPINGS = {
+    "StubImage": StubImage,
+    "StubConstantImage": StubConstantImage,
+    "StubMask": StubMask,
+    "StubInt": StubInt,
+    "StubFloat": StubFloat,
+}
+TEST_STUB_NODE_DISPLAY_NAME_MAPPINGS = {
+    "StubImage": "Stub Image",
+    "StubConstantImage": "Stub Constant Image",
+    "StubMask": "Stub Mask",
+    "StubInt": "Stub Int",
+    "StubFloat": "Stub Float",
+}
diff --git a/ComfyUI/tests/inference/testing_nodes/testing-pack/tools.py b/ComfyUI/tests/inference/testing_nodes/testing-pack/tools.py
new file mode 100644
index 0000000000000000000000000000000000000000..34b28c0eb4892cdbc4e7575e651719f48ca917e9
--- /dev/null
+++ b/ComfyUI/tests/inference/testing_nodes/testing-pack/tools.py
@@ -0,0 +1,53 @@
+
+def MakeSmartType(t):
+    if isinstance(t, str):
+        return SmartType(t)
+    return t
+
+class SmartType(str):
+    def __ne__(self, other):
+        if self == "*" or other == "*":
+            return False
+        selfset = set(self.split(','))
+        otherset = set(other.split(','))
+        return not selfset.issubset(otherset)
+
+def VariantSupport():
+    def decorator(cls):
+        if hasattr(cls, "INPUT_TYPES"):
+            old_input_types = getattr(cls, "INPUT_TYPES")
+            def new_input_types(*args, **kwargs):
+                types = old_input_types(*args, **kwargs)
+                for category in ["required", "optional"]:
+                    if category not in types:
+                        continue
+                    for key, value in types[category].items():
+                        if isinstance(value, tuple):
+                            types[category][key] = (MakeSmartType(value[0]),) + value[1:]
+                return types
+            setattr(cls, "INPUT_TYPES", new_input_types)
+        if hasattr(cls, "RETURN_TYPES"):
+            old_return_types = cls.RETURN_TYPES
+            setattr(cls, "RETURN_TYPES", tuple(MakeSmartType(x) for x in old_return_types))
+        if hasattr(cls, "VALIDATE_INPUTS"):
+            # Reflection is used to determine what the function signature is, so we can't just change the function signature
+            raise NotImplementedError("VariantSupport does not support VALIDATE_INPUTS yet")
+        else:
+            def validate_inputs(input_types):
+                inputs = cls.INPUT_TYPES()
+                for key, value in input_types.items():
+                    if isinstance(value, SmartType):
+                        continue
+                    if "required" in inputs and key in inputs["required"]:
+                        expected_type = inputs["required"][key][0]
+                    elif "optional" in inputs and key in inputs["optional"]:
+                        expected_type = inputs["optional"][key][0]
+                    else:
+                        expected_type = None
+                    if expected_type is not None and MakeSmartType(value) != expected_type:
+                        return f"Invalid type of {key}: {value} (expected {expected_type})"
+                return True
+            setattr(cls, "VALIDATE_INPUTS", validate_inputs)
+        return cls
+    return decorator
+
diff --git a/ComfyUI/tests/inference/testing_nodes/testing-pack/util.py b/ComfyUI/tests/inference/testing_nodes/testing-pack/util.py
new file mode 100644
index 0000000000000000000000000000000000000000..ca116c16e0d3c324300c0d75a510733662672da8
--- /dev/null
+++ b/ComfyUI/tests/inference/testing_nodes/testing-pack/util.py
@@ -0,0 +1,364 @@
+from comfy_execution.graph_utils import GraphBuilder
+from .tools import VariantSupport
+
+@VariantSupport()
+class TestAccumulateNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "to_add": ("*",),
+            },
+            "optional": {
+                "accumulation": ("ACCUMULATION",),
+            },
+        }
+
+    RETURN_TYPES = ("ACCUMULATION",)
+    FUNCTION = "accumulate"
+
+    CATEGORY = "Testing/Lists"
+
+    def accumulate(self, to_add, accumulation = None):
+        if accumulation is None:
+            value = [to_add]
+        else:
+            value = accumulation["accum"] + [to_add]
+        return ({"accum": value},)
+
+@VariantSupport()
+class TestAccumulationHeadNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "accumulation": ("ACCUMULATION",),
+            },
+        }
+
+    RETURN_TYPES = ("ACCUMULATION", "*",)
+    FUNCTION = "accumulation_head"
+
+    CATEGORY = "Testing/Lists"
+
+    def accumulation_head(self, accumulation):
+        accum = accumulation["accum"]
+        if len(accum) == 0:
+            return (accumulation, None)
+        else:
+            return ({"accum": accum[1:]}, accum[0])
+
+class TestAccumulationTailNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "accumulation": ("ACCUMULATION",),
+            },
+        }
+
+    RETURN_TYPES = ("ACCUMULATION", "*",)
+    FUNCTION = "accumulation_tail"
+
+    CATEGORY = "Testing/Lists"
+
+    def accumulation_tail(self, accumulation):
+        accum = accumulation["accum"]
+        if len(accum) == 0:
+            return (None, accumulation)
+        else:
+            return ({"accum": accum[:-1]}, accum[-1])
+
+@VariantSupport()
+class TestAccumulationToListNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "accumulation": ("ACCUMULATION",),
+            },
+        }
+
+    RETURN_TYPES = ("*",)
+    OUTPUT_IS_LIST = (True,)
+
+    FUNCTION = "accumulation_to_list"
+
+    CATEGORY = "Testing/Lists"
+
+    def accumulation_to_list(self, accumulation):
+        return (accumulation["accum"],)
+
+@VariantSupport()
+class TestListToAccumulationNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "list": ("*",),
+            },
+        }
+
+    RETURN_TYPES = ("ACCUMULATION",)
+    INPUT_IS_LIST = (True,)
+
+    FUNCTION = "list_to_accumulation"
+
+    CATEGORY = "Testing/Lists"
+
+    def list_to_accumulation(self, list):
+        return ({"accum": list},)
+
+@VariantSupport()
+class TestAccumulationGetLengthNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "accumulation": ("ACCUMULATION",),
+            },
+        }
+
+    RETURN_TYPES = ("INT",)
+
+    FUNCTION = "accumlength"
+
+    CATEGORY = "Testing/Lists"
+
+    def accumlength(self, accumulation):
+        return (len(accumulation['accum']),)
+        
+@VariantSupport()
+class TestAccumulationGetItemNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "accumulation": ("ACCUMULATION",),
+                "index": ("INT", {"default":0, "step":1})
+            },
+        }
+
+    RETURN_TYPES = ("*",)
+
+    FUNCTION = "get_item"
+
+    CATEGORY = "Testing/Lists"
+
+    def get_item(self, accumulation, index):
+        return (accumulation['accum'][index],)
+        
+@VariantSupport()
+class TestAccumulationSetItemNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "accumulation": ("ACCUMULATION",),
+                "index": ("INT", {"default":0, "step":1}),
+                "value": ("*",),
+            },
+        }
+
+    RETURN_TYPES = ("ACCUMULATION",)
+
+    FUNCTION = "set_item"
+
+    CATEGORY = "Testing/Lists"
+
+    def set_item(self, accumulation, index, value):
+        new_accum = accumulation['accum'][:]
+        new_accum[index] = value
+        return ({"accum": new_accum},)
+
+class TestIntMathOperation:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "a": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}),
+                "b": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}),
+                "operation": (["add", "subtract", "multiply", "divide", "modulo", "power"],),
+            },
+        }
+
+    RETURN_TYPES = ("INT",)
+    FUNCTION = "int_math_operation"
+
+    CATEGORY = "Testing/Logic"
+
+    def int_math_operation(self, a, b, operation):
+        if operation == "add":
+            return (a + b,)
+        elif operation == "subtract":
+            return (a - b,)
+        elif operation == "multiply":
+            return (a * b,)
+        elif operation == "divide":
+            return (a // b,)
+        elif operation == "modulo":
+            return (a % b,)
+        elif operation == "power":
+            return (a ** b,)
+
+
+from .flow_control import NUM_FLOW_SOCKETS
+@VariantSupport()
+class TestForLoopOpen:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "remaining": ("INT", {"default": 1, "min": 0, "max": 100000, "step": 1}),
+            },
+            "optional": {
+                f"initial_value{i}": ("*",) for i in range(1, NUM_FLOW_SOCKETS)
+            },
+            "hidden": {
+                "initial_value0": ("*",)
+            }
+        }
+
+    RETURN_TYPES = tuple(["FLOW_CONTROL", "INT",] + ["*"] * (NUM_FLOW_SOCKETS-1))
+    RETURN_NAMES = tuple(["flow_control", "remaining"] + [f"value{i}" for i in range(1, NUM_FLOW_SOCKETS)])
+    FUNCTION = "for_loop_open"
+
+    CATEGORY = "Testing/Flow"
+
+    def for_loop_open(self, remaining, **kwargs):
+        graph = GraphBuilder()
+        if "initial_value0" in kwargs:
+            remaining = kwargs["initial_value0"]
+        while_open = graph.node("TestWhileLoopOpen", condition=remaining, initial_value0=remaining, **{(f"initial_value{i}"): kwargs.get(f"initial_value{i}", None) for i in range(1, NUM_FLOW_SOCKETS)})
+        outputs = [kwargs.get(f"initial_value{i}", None) for i in range(1, NUM_FLOW_SOCKETS)]
+        return {
+            "result": tuple(["stub", remaining] + outputs),
+            "expand": graph.finalize(),
+        }
+
+@VariantSupport()
+class TestForLoopClose:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "flow_control": ("FLOW_CONTROL", {"rawLink": True}),
+            },
+            "optional": {
+                f"initial_value{i}": ("*",{"rawLink": True}) for i in range(1, NUM_FLOW_SOCKETS)
+            },
+        }
+
+    RETURN_TYPES = tuple(["*"] * (NUM_FLOW_SOCKETS-1))
+    RETURN_NAMES = tuple([f"value{i}" for i in range(1, NUM_FLOW_SOCKETS)])
+    FUNCTION = "for_loop_close"
+
+    CATEGORY = "Testing/Flow"
+
+    def for_loop_close(self, flow_control, **kwargs):
+        graph = GraphBuilder()
+        while_open = flow_control[0]
+        sub = graph.node("TestIntMathOperation", operation="subtract", a=[while_open,1], b=1)
+        cond = graph.node("TestToBoolNode", value=sub.out(0))
+        input_values = {f"initial_value{i}": kwargs.get(f"initial_value{i}", None) for i in range(1, NUM_FLOW_SOCKETS)}
+        while_close = graph.node("TestWhileLoopClose",
+                flow_control=flow_control,
+                condition=cond.out(0),
+                initial_value0=sub.out(0),
+                **input_values)
+        return {
+            "result": tuple([while_close.out(i) for i in range(1, NUM_FLOW_SOCKETS)]),
+            "expand": graph.finalize(),
+        }
+
+NUM_LIST_SOCKETS = 10
+@VariantSupport()
+class TestMakeListNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "value1": ("*",),
+            },
+            "optional": {
+                f"value{i}": ("*",) for i in range(1, NUM_LIST_SOCKETS)
+            },
+        }
+
+    RETURN_TYPES = ("*",)
+    FUNCTION = "make_list"
+    OUTPUT_IS_LIST = (True,)
+
+    CATEGORY = "Testing/Lists"
+
+    def make_list(self, **kwargs):
+        result = []
+        for i in range(NUM_LIST_SOCKETS):
+            if f"value{i}" in kwargs:
+                result.append(kwargs[f"value{i}"])
+        return (result,)
+
+UTILITY_NODE_CLASS_MAPPINGS = {
+    "TestAccumulateNode": TestAccumulateNode,
+    "TestAccumulationHeadNode": TestAccumulationHeadNode,
+    "TestAccumulationTailNode": TestAccumulationTailNode,
+    "TestAccumulationToListNode": TestAccumulationToListNode,
+    "TestListToAccumulationNode": TestListToAccumulationNode,
+    "TestAccumulationGetLengthNode": TestAccumulationGetLengthNode,
+    "TestAccumulationGetItemNode": TestAccumulationGetItemNode,
+    "TestAccumulationSetItemNode": TestAccumulationSetItemNode,
+    "TestForLoopOpen": TestForLoopOpen,
+    "TestForLoopClose": TestForLoopClose,
+    "TestIntMathOperation": TestIntMathOperation,
+    "TestMakeListNode": TestMakeListNode,
+}
+UTILITY_NODE_DISPLAY_NAME_MAPPINGS = {
+    "TestAccumulateNode": "Accumulate",
+    "TestAccumulationHeadNode": "Accumulation Head",
+    "TestAccumulationTailNode": "Accumulation Tail",
+    "TestAccumulationToListNode": "Accumulation to List",
+    "TestListToAccumulationNode": "List to Accumulation",
+    "TestAccumulationGetLengthNode": "Accumulation Get Length",
+    "TestAccumulationGetItemNode": "Accumulation Get Item",
+    "TestAccumulationSetItemNode": "Accumulation Set Item",
+    "TestForLoopOpen": "For Loop Open",
+    "TestForLoopClose": "For Loop Close",
+    "TestIntMathOperation": "Int Math Operation",
+    "TestMakeListNode": "Make List",
+}
diff --git a/ComfyUI/user/default/comfy.settings.json b/ComfyUI/user/default/comfy.settings.json
new file mode 100644
index 0000000000000000000000000000000000000000..364da1a1ca13c2fb35ba762c498f3f77cf0d6dfd
--- /dev/null
+++ b/ComfyUI/user/default/comfy.settings.json
@@ -0,0 +1,3 @@
+{
+    "Comfy.DevMode": true
+}
\ No newline at end of file
diff --git a/ComfyUI/user/default/comfy.templates.json b/ComfyUI/user/default/comfy.templates.json
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ComfyUI/web/assets/index-BD-Ia1C4.js b/ComfyUI/web/assets/index-BD-Ia1C4.js
new file mode 100644
index 0000000000000000000000000000000000000000..ad0cfb1f7759861bfa78e51b144985ba0474b19c
--- /dev/null
+++ b/ComfyUI/web/assets/index-BD-Ia1C4.js
@@ -0,0 +1,6029 @@
+var __defProp = Object.defineProperty;
+var __name = (target, value) => __defProp(target, "name", { value, configurable: true });
+import { C as ComfyDialog, $ as $el, a as ComfyApp, b as app, L as LGraphCanvas, c as LiteGraph, d as LGraphNode, e as applyTextReplacements, f as ComfyWidgets, g as addValueControlWidgets, D as DraggableList, h as api, u as useToastStore, i as LGraphGroup } from "./index-CI3N807S.js";
+class ClipspaceDialog extends ComfyDialog {
+  static {
+    __name(this, "ClipspaceDialog");
+  }
+  static items = [];
+  static instance = null;
+  static registerButton(name, contextPredicate, callback) {
+    const item = $el("button", {
+      type: "button",
+      textContent: name,
+      contextPredicate,
+      onclick: callback
+    });
+    ClipspaceDialog.items.push(item);
+  }
+  static invalidatePreview() {
+    if (ComfyApp.clipspace && ComfyApp.clipspace.imgs && ComfyApp.clipspace.imgs.length > 0) {
+      const img_preview = document.getElementById(
+        "clipspace_preview"
+      );
+      if (img_preview) {
+        img_preview.src = ComfyApp.clipspace.imgs[ComfyApp.clipspace["selectedIndex"]].src;
+        img_preview.style.maxHeight = "100%";
+        img_preview.style.maxWidth = "100%";
+      }
+    }
+  }
+  static invalidate() {
+    if (ClipspaceDialog.instance) {
+      const self = ClipspaceDialog.instance;
+      const children = $el("div.comfy-modal-content", [
+        self.createImgSettings(),
+        ...self.createButtons()
+      ]);
+      if (self.element) {
+        self.element.removeChild(self.element.firstChild);
+        self.element.appendChild(children);
+      } else {
+        self.element = $el("div.comfy-modal", { parent: document.body }, [
+          children
+        ]);
+      }
+      if (self.element.children[0].children.length <= 1) {
+        self.element.children[0].appendChild(
+          $el("p", {}, [
+            "Unable to find the features to edit content of a format stored in the current Clipspace."
+          ])
+        );
+      }
+      ClipspaceDialog.invalidatePreview();
+    }
+  }
+  constructor() {
+    super();
+  }
+  createButtons() {
+    const buttons = [];
+    for (let idx in ClipspaceDialog.items) {
+      const item = ClipspaceDialog.items[idx];
+      if (!item.contextPredicate || item.contextPredicate())
+        buttons.push(ClipspaceDialog.items[idx]);
+    }
+    buttons.push(
+      $el("button", {
+        type: "button",
+        textContent: "Close",
+        onclick: /* @__PURE__ */ __name(() => {
+          this.close();
+        }, "onclick")
+      })
+    );
+    return buttons;
+  }
+  createImgSettings() {
+    if (ComfyApp.clipspace.imgs) {
+      const combo_items = [];
+      const imgs = ComfyApp.clipspace.imgs;
+      for (let i = 0; i < imgs.length; i++) {
+        combo_items.push($el("option", { value: i }, [`${i}`]));
+      }
+      const combo1 = $el(
+        "select",
+        {
+          id: "clipspace_img_selector",
+          onchange: /* @__PURE__ */ __name((event) => {
+            ComfyApp.clipspace["selectedIndex"] = event.target.selectedIndex;
+            ClipspaceDialog.invalidatePreview();
+          }, "onchange")
+        },
+        combo_items
+      );
+      const row1 = $el("tr", {}, [
+        $el("td", {}, [$el("font", { color: "white" }, ["Select Image"])]),
+        $el("td", {}, [combo1])
+      ]);
+      const combo2 = $el(
+        "select",
+        {
+          id: "clipspace_img_paste_mode",
+          onchange: /* @__PURE__ */ __name((event) => {
+            ComfyApp.clipspace["img_paste_mode"] = event.target.value;
+          }, "onchange")
+        },
+        [
+          $el("option", { value: "selected" }, "selected"),
+          $el("option", { value: "all" }, "all")
+        ]
+      );
+      combo2.value = ComfyApp.clipspace["img_paste_mode"];
+      const row2 = $el("tr", {}, [
+        $el("td", {}, [$el("font", { color: "white" }, ["Paste Mode"])]),
+        $el("td", {}, [combo2])
+      ]);
+      const td = $el(
+        "td",
+        { align: "center", width: "100px", height: "100px", colSpan: "2" },
+        [$el("img", { id: "clipspace_preview", ondragstart: /* @__PURE__ */ __name(() => false, "ondragstart") }, [])]
+      );
+      const row3 = $el("tr", {}, [td]);
+      return $el("table", {}, [row1, row2, row3]);
+    } else {
+      return [];
+    }
+  }
+  createImgPreview() {
+    if (ComfyApp.clipspace.imgs) {
+      return $el("img", { id: "clipspace_preview", ondragstart: /* @__PURE__ */ __name(() => false, "ondragstart") });
+    } else return [];
+  }
+  show() {
+    const img_preview = document.getElementById("clipspace_preview");
+    ClipspaceDialog.invalidate();
+    this.element.style.display = "block";
+  }
+}
+app.registerExtension({
+  name: "Comfy.Clipspace",
+  init(app2) {
+    app2.openClipspace = function() {
+      if (!ClipspaceDialog.instance) {
+        ClipspaceDialog.instance = new ClipspaceDialog();
+        ComfyApp.clipspace_invalidate_handler = ClipspaceDialog.invalidate;
+      }
+      if (ComfyApp.clipspace) {
+        ClipspaceDialog.instance.show();
+      } else app2.ui.dialog.show("Clipspace is Empty!");
+    };
+  }
+});
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.clipspace = window.comfyAPI.clipspace || {};
+window.comfyAPI.clipspace.ClipspaceDialog = ClipspaceDialog;
+const colorPalettes = {
+  dark: {
+    id: "dark",
+    name: "Dark (Default)",
+    colors: {
+      node_slot: {
+        CLIP: "#FFD500",
+        // bright yellow
+        CLIP_VISION: "#A8DADC",
+        // light blue-gray
+        CLIP_VISION_OUTPUT: "#ad7452",
+        // rusty brown-orange
+        CONDITIONING: "#FFA931",
+        // vibrant orange-yellow
+        CONTROL_NET: "#6EE7B7",
+        // soft mint green
+        IMAGE: "#64B5F6",
+        // bright sky blue
+        LATENT: "#FF9CF9",
+        // light pink-purple
+        MASK: "#81C784",
+        // muted green
+        MODEL: "#B39DDB",
+        // light lavender-purple
+        STYLE_MODEL: "#C2FFAE",
+        // light green-yellow
+        VAE: "#FF6E6E",
+        // bright red
+        NOISE: "#B0B0B0",
+        // gray
+        GUIDER: "#66FFFF",
+        // cyan
+        SAMPLER: "#ECB4B4",
+        // very soft red
+        SIGMAS: "#CDFFCD",
+        // soft lime green
+        TAESD: "#DCC274"
+        // cheesecake
+      },
+      litegraph_base: {
+        BACKGROUND_IMAGE: "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGQAAABkCAIAAAD/gAIDAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAQBJREFUeNrs1rEKwjAUhlETUkj3vP9rdmr1Ysammk2w5wdxuLgcMHyptfawuZX4pJSWZTnfnu/lnIe/jNNxHHGNn//HNbbv+4dr6V+11uF527arU7+u63qfa/bnmh8sWLBgwYJlqRf8MEptXPBXJXa37BSl3ixYsGDBMliwFLyCV/DeLIMFCxYsWLBMwSt4Be/NggXLYMGCBUvBK3iNruC9WbBgwYJlsGApeAWv4L1ZBgsWLFiwYJmCV/AK3psFC5bBggULloJX8BpdwXuzYMGCBctgwVLwCl7Be7MMFixYsGDBsu8FH1FaSmExVfAxBa/gvVmwYMGCZbBg/W4vAQYA5tRF9QYlv/QAAAAASUVORK5CYII=",
+        CLEAR_BACKGROUND_COLOR: "#222",
+        NODE_TITLE_COLOR: "#999",
+        NODE_SELECTED_TITLE_COLOR: "#FFF",
+        NODE_TEXT_SIZE: 14,
+        NODE_TEXT_COLOR: "#AAA",
+        NODE_SUBTEXT_SIZE: 12,
+        NODE_DEFAULT_COLOR: "#333",
+        NODE_DEFAULT_BGCOLOR: "#353535",
+        NODE_DEFAULT_BOXCOLOR: "#666",
+        NODE_DEFAULT_SHAPE: "box",
+        NODE_BOX_OUTLINE_COLOR: "#FFF",
+        DEFAULT_SHADOW_COLOR: "rgba(0,0,0,0.5)",
+        DEFAULT_GROUP_FONT: 24,
+        WIDGET_BGCOLOR: "#222",
+        WIDGET_OUTLINE_COLOR: "#666",
+        WIDGET_TEXT_COLOR: "#DDD",
+        WIDGET_SECONDARY_TEXT_COLOR: "#999",
+        LINK_COLOR: "#9A9",
+        EVENT_LINK_COLOR: "#A86",
+        CONNECTING_LINK_COLOR: "#AFA"
+      },
+      comfy_base: {
+        "fg-color": "#fff",
+        "bg-color": "#202020",
+        "comfy-menu-bg": "#353535",
+        "comfy-input-bg": "#222",
+        "input-text": "#ddd",
+        "descrip-text": "#999",
+        "drag-text": "#ccc",
+        "error-text": "#ff4444",
+        "border-color": "#4e4e4e",
+        "tr-even-bg-color": "#222",
+        "tr-odd-bg-color": "#353535",
+        "content-bg": "#4e4e4e",
+        "content-fg": "#fff",
+        "content-hover-bg": "#222",
+        "content-hover-fg": "#fff"
+      }
+    }
+  },
+  light: {
+    id: "light",
+    name: "Light",
+    colors: {
+      node_slot: {
+        CLIP: "#FFA726",
+        // orange
+        CLIP_VISION: "#5C6BC0",
+        // indigo
+        CLIP_VISION_OUTPUT: "#8D6E63",
+        // brown
+        CONDITIONING: "#EF5350",
+        // red
+        CONTROL_NET: "#66BB6A",
+        // green
+        IMAGE: "#42A5F5",
+        // blue
+        LATENT: "#AB47BC",
+        // purple
+        MASK: "#9CCC65",
+        // light green
+        MODEL: "#7E57C2",
+        // deep purple
+        STYLE_MODEL: "#D4E157",
+        // lime
+        VAE: "#FF7043"
+        // deep orange
+      },
+      litegraph_base: {
+        BACKGROUND_IMAGE: "data:image/gif;base64,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",
+        CLEAR_BACKGROUND_COLOR: "lightgray",
+        NODE_TITLE_COLOR: "#222",
+        NODE_SELECTED_TITLE_COLOR: "#000",
+        NODE_TEXT_SIZE: 14,
+        NODE_TEXT_COLOR: "#444",
+        NODE_SUBTEXT_SIZE: 12,
+        NODE_DEFAULT_COLOR: "#F7F7F7",
+        NODE_DEFAULT_BGCOLOR: "#F5F5F5",
+        NODE_DEFAULT_BOXCOLOR: "#CCC",
+        NODE_DEFAULT_SHAPE: "box",
+        NODE_BOX_OUTLINE_COLOR: "#000",
+        DEFAULT_SHADOW_COLOR: "rgba(0,0,0,0.1)",
+        DEFAULT_GROUP_FONT: 24,
+        WIDGET_BGCOLOR: "#D4D4D4",
+        WIDGET_OUTLINE_COLOR: "#999",
+        WIDGET_TEXT_COLOR: "#222",
+        WIDGET_SECONDARY_TEXT_COLOR: "#555",
+        LINK_COLOR: "#4CAF50",
+        EVENT_LINK_COLOR: "#FF9800",
+        CONNECTING_LINK_COLOR: "#2196F3"
+      },
+      comfy_base: {
+        "fg-color": "#222",
+        "bg-color": "#DDD",
+        "comfy-menu-bg": "#F5F5F5",
+        "comfy-input-bg": "#C9C9C9",
+        "input-text": "#222",
+        "descrip-text": "#444",
+        "drag-text": "#555",
+        "error-text": "#F44336",
+        "border-color": "#888",
+        "tr-even-bg-color": "#f9f9f9",
+        "tr-odd-bg-color": "#fff",
+        "content-bg": "#e0e0e0",
+        "content-fg": "#222",
+        "content-hover-bg": "#adadad",
+        "content-hover-fg": "#222"
+      }
+    }
+  },
+  solarized: {
+    id: "solarized",
+    name: "Solarized",
+    colors: {
+      node_slot: {
+        CLIP: "#2AB7CA",
+        // light blue
+        CLIP_VISION: "#6c71c4",
+        // blue violet
+        CLIP_VISION_OUTPUT: "#859900",
+        // olive green
+        CONDITIONING: "#d33682",
+        // magenta
+        CONTROL_NET: "#d1ffd7",
+        // light mint green
+        IMAGE: "#5940bb",
+        // deep blue violet
+        LATENT: "#268bd2",
+        // blue
+        MASK: "#CCC9E7",
+        // light purple-gray
+        MODEL: "#dc322f",
+        // red
+        STYLE_MODEL: "#1a998a",
+        // teal
+        UPSCALE_MODEL: "#054A29",
+        // dark green
+        VAE: "#facfad"
+        // light pink-orange
+      },
+      litegraph_base: {
+        NODE_TITLE_COLOR: "#fdf6e3",
+        // Base3
+        NODE_SELECTED_TITLE_COLOR: "#A9D400",
+        NODE_TEXT_SIZE: 14,
+        NODE_TEXT_COLOR: "#657b83",
+        // Base00
+        NODE_SUBTEXT_SIZE: 12,
+        NODE_DEFAULT_COLOR: "#094656",
+        NODE_DEFAULT_BGCOLOR: "#073642",
+        // Base02
+        NODE_DEFAULT_BOXCOLOR: "#839496",
+        // Base0
+        NODE_DEFAULT_SHAPE: "box",
+        NODE_BOX_OUTLINE_COLOR: "#fdf6e3",
+        // Base3
+        DEFAULT_SHADOW_COLOR: "rgba(0,0,0,0.5)",
+        DEFAULT_GROUP_FONT: 24,
+        WIDGET_BGCOLOR: "#002b36",
+        // Base03
+        WIDGET_OUTLINE_COLOR: "#839496",
+        // Base0
+        WIDGET_TEXT_COLOR: "#fdf6e3",
+        // Base3
+        WIDGET_SECONDARY_TEXT_COLOR: "#93a1a1",
+        // Base1
+        LINK_COLOR: "#2aa198",
+        // Solarized Cyan
+        EVENT_LINK_COLOR: "#268bd2",
+        // Solarized Blue
+        CONNECTING_LINK_COLOR: "#859900"
+        // Solarized Green
+      },
+      comfy_base: {
+        "fg-color": "#fdf6e3",
+        // Base3
+        "bg-color": "#002b36",
+        // Base03
+        "comfy-menu-bg": "#073642",
+        // Base02
+        "comfy-input-bg": "#002b36",
+        // Base03
+        "input-text": "#93a1a1",
+        // Base1
+        "descrip-text": "#586e75",
+        // Base01
+        "drag-text": "#839496",
+        // Base0
+        "error-text": "#dc322f",
+        // Solarized Red
+        "border-color": "#657b83",
+        // Base00
+        "tr-even-bg-color": "#002b36",
+        "tr-odd-bg-color": "#073642",
+        "content-bg": "#657b83",
+        "content-fg": "#fdf6e3",
+        "content-hover-bg": "#002b36",
+        "content-hover-fg": "#fdf6e3"
+      }
+    }
+  },
+  arc: {
+    id: "arc",
+    name: "Arc",
+    colors: {
+      node_slot: {
+        BOOLEAN: "",
+        CLIP: "#eacb8b",
+        CLIP_VISION: "#A8DADC",
+        CLIP_VISION_OUTPUT: "#ad7452",
+        CONDITIONING: "#cf876f",
+        CONTROL_NET: "#00d78d",
+        CONTROL_NET_WEIGHTS: "",
+        FLOAT: "",
+        GLIGEN: "",
+        IMAGE: "#80a1c0",
+        IMAGEUPLOAD: "",
+        INT: "",
+        LATENT: "#b38ead",
+        LATENT_KEYFRAME: "",
+        MASK: "#a3bd8d",
+        MODEL: "#8978a7",
+        SAMPLER: "",
+        SIGMAS: "",
+        STRING: "",
+        STYLE_MODEL: "#C2FFAE",
+        T2I_ADAPTER_WEIGHTS: "",
+        TAESD: "#DCC274",
+        TIMESTEP_KEYFRAME: "",
+        UPSCALE_MODEL: "",
+        VAE: "#be616b"
+      },
+      litegraph_base: {
+        BACKGROUND_IMAGE: "data:image/png;base64,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",
+        CLEAR_BACKGROUND_COLOR: "#2b2f38",
+        NODE_TITLE_COLOR: "#b2b7bd",
+        NODE_SELECTED_TITLE_COLOR: "#FFF",
+        NODE_TEXT_SIZE: 14,
+        NODE_TEXT_COLOR: "#AAA",
+        NODE_SUBTEXT_SIZE: 12,
+        NODE_DEFAULT_COLOR: "#2b2f38",
+        NODE_DEFAULT_BGCOLOR: "#242730",
+        NODE_DEFAULT_BOXCOLOR: "#6e7581",
+        NODE_DEFAULT_SHAPE: "box",
+        NODE_BOX_OUTLINE_COLOR: "#FFF",
+        DEFAULT_SHADOW_COLOR: "rgba(0,0,0,0.5)",
+        DEFAULT_GROUP_FONT: 22,
+        WIDGET_BGCOLOR: "#2b2f38",
+        WIDGET_OUTLINE_COLOR: "#6e7581",
+        WIDGET_TEXT_COLOR: "#DDD",
+        WIDGET_SECONDARY_TEXT_COLOR: "#b2b7bd",
+        LINK_COLOR: "#9A9",
+        EVENT_LINK_COLOR: "#A86",
+        CONNECTING_LINK_COLOR: "#AFA"
+      },
+      comfy_base: {
+        "fg-color": "#fff",
+        "bg-color": "#2b2f38",
+        "comfy-menu-bg": "#242730",
+        "comfy-input-bg": "#2b2f38",
+        "input-text": "#ddd",
+        "descrip-text": "#b2b7bd",
+        "drag-text": "#ccc",
+        "error-text": "#ff4444",
+        "border-color": "#6e7581",
+        "tr-even-bg-color": "#2b2f38",
+        "tr-odd-bg-color": "#242730",
+        "content-bg": "#6e7581",
+        "content-fg": "#fff",
+        "content-hover-bg": "#2b2f38",
+        "content-hover-fg": "#fff"
+      }
+    }
+  },
+  nord: {
+    id: "nord",
+    name: "Nord",
+    colors: {
+      node_slot: {
+        BOOLEAN: "",
+        CLIP: "#eacb8b",
+        CLIP_VISION: "#A8DADC",
+        CLIP_VISION_OUTPUT: "#ad7452",
+        CONDITIONING: "#cf876f",
+        CONTROL_NET: "#00d78d",
+        CONTROL_NET_WEIGHTS: "",
+        FLOAT: "",
+        GLIGEN: "",
+        IMAGE: "#80a1c0",
+        IMAGEUPLOAD: "",
+        INT: "",
+        LATENT: "#b38ead",
+        LATENT_KEYFRAME: "",
+        MASK: "#a3bd8d",
+        MODEL: "#8978a7",
+        SAMPLER: "",
+        SIGMAS: "",
+        STRING: "",
+        STYLE_MODEL: "#C2FFAE",
+        T2I_ADAPTER_WEIGHTS: "",
+        TAESD: "#DCC274",
+        TIMESTEP_KEYFRAME: "",
+        UPSCALE_MODEL: "",
+        VAE: "#be616b"
+      },
+      litegraph_base: {
+        BACKGROUND_IMAGE: "data:image/png;base64,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",
+        CLEAR_BACKGROUND_COLOR: "#212732",
+        NODE_TITLE_COLOR: "#999",
+        NODE_SELECTED_TITLE_COLOR: "#e5eaf0",
+        NODE_TEXT_SIZE: 14,
+        NODE_TEXT_COLOR: "#bcc2c8",
+        NODE_SUBTEXT_SIZE: 12,
+        NODE_DEFAULT_COLOR: "#2e3440",
+        NODE_DEFAULT_BGCOLOR: "#161b22",
+        NODE_DEFAULT_BOXCOLOR: "#545d70",
+        NODE_DEFAULT_SHAPE: "box",
+        NODE_BOX_OUTLINE_COLOR: "#e5eaf0",
+        DEFAULT_SHADOW_COLOR: "rgba(0,0,0,0.5)",
+        DEFAULT_GROUP_FONT: 24,
+        WIDGET_BGCOLOR: "#2e3440",
+        WIDGET_OUTLINE_COLOR: "#545d70",
+        WIDGET_TEXT_COLOR: "#bcc2c8",
+        WIDGET_SECONDARY_TEXT_COLOR: "#999",
+        LINK_COLOR: "#9A9",
+        EVENT_LINK_COLOR: "#A86",
+        CONNECTING_LINK_COLOR: "#AFA"
+      },
+      comfy_base: {
+        "fg-color": "#e5eaf0",
+        "bg-color": "#2e3440",
+        "comfy-menu-bg": "#161b22",
+        "comfy-input-bg": "#2e3440",
+        "input-text": "#bcc2c8",
+        "descrip-text": "#999",
+        "drag-text": "#ccc",
+        "error-text": "#ff4444",
+        "border-color": "#545d70",
+        "tr-even-bg-color": "#2e3440",
+        "tr-odd-bg-color": "#161b22",
+        "content-bg": "#545d70",
+        "content-fg": "#e5eaf0",
+        "content-hover-bg": "#2e3440",
+        "content-hover-fg": "#e5eaf0"
+      }
+    }
+  },
+  github: {
+    id: "github",
+    name: "Github",
+    colors: {
+      node_slot: {
+        BOOLEAN: "",
+        CLIP: "#eacb8b",
+        CLIP_VISION: "#A8DADC",
+        CLIP_VISION_OUTPUT: "#ad7452",
+        CONDITIONING: "#cf876f",
+        CONTROL_NET: "#00d78d",
+        CONTROL_NET_WEIGHTS: "",
+        FLOAT: "",
+        GLIGEN: "",
+        IMAGE: "#80a1c0",
+        IMAGEUPLOAD: "",
+        INT: "",
+        LATENT: "#b38ead",
+        LATENT_KEYFRAME: "",
+        MASK: "#a3bd8d",
+        MODEL: "#8978a7",
+        SAMPLER: "",
+        SIGMAS: "",
+        STRING: "",
+        STYLE_MODEL: "#C2FFAE",
+        T2I_ADAPTER_WEIGHTS: "",
+        TAESD: "#DCC274",
+        TIMESTEP_KEYFRAME: "",
+        UPSCALE_MODEL: "",
+        VAE: "#be616b"
+      },
+      litegraph_base: {
+        BACKGROUND_IMAGE: "data:image/png;base64,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",
+        CLEAR_BACKGROUND_COLOR: "#040506",
+        NODE_TITLE_COLOR: "#999",
+        NODE_SELECTED_TITLE_COLOR: "#e5eaf0",
+        NODE_TEXT_SIZE: 14,
+        NODE_TEXT_COLOR: "#bcc2c8",
+        NODE_SUBTEXT_SIZE: 12,
+        NODE_DEFAULT_COLOR: "#161b22",
+        NODE_DEFAULT_BGCOLOR: "#13171d",
+        NODE_DEFAULT_BOXCOLOR: "#30363d",
+        NODE_DEFAULT_SHAPE: "box",
+        NODE_BOX_OUTLINE_COLOR: "#e5eaf0",
+        DEFAULT_SHADOW_COLOR: "rgba(0,0,0,0.5)",
+        DEFAULT_GROUP_FONT: 24,
+        WIDGET_BGCOLOR: "#161b22",
+        WIDGET_OUTLINE_COLOR: "#30363d",
+        WIDGET_TEXT_COLOR: "#bcc2c8",
+        WIDGET_SECONDARY_TEXT_COLOR: "#999",
+        LINK_COLOR: "#9A9",
+        EVENT_LINK_COLOR: "#A86",
+        CONNECTING_LINK_COLOR: "#AFA"
+      },
+      comfy_base: {
+        "fg-color": "#e5eaf0",
+        "bg-color": "#161b22",
+        "comfy-menu-bg": "#13171d",
+        "comfy-input-bg": "#161b22",
+        "input-text": "#bcc2c8",
+        "descrip-text": "#999",
+        "drag-text": "#ccc",
+        "error-text": "#ff4444",
+        "border-color": "#30363d",
+        "tr-even-bg-color": "#161b22",
+        "tr-odd-bg-color": "#13171d",
+        "content-bg": "#30363d",
+        "content-fg": "#e5eaf0",
+        "content-hover-bg": "#161b22",
+        "content-hover-fg": "#e5eaf0"
+      }
+    }
+  }
+};
+const id$4 = "Comfy.ColorPalette";
+const idCustomColorPalettes = "Comfy.CustomColorPalettes";
+const defaultColorPaletteId = "dark";
+const els = {
+  select: null
+};
+app.registerExtension({
+  name: id$4,
+  init() {
+    LGraphCanvas.prototype.updateBackground = function(image, clearBackgroundColor) {
+      this._bg_img = new Image();
+      this._bg_img.name = image;
+      this._bg_img.src = image;
+      this._bg_img.onload = () => {
+        this.draw(true, true);
+      };
+      this.background_image = image;
+      this.clear_background = true;
+      this.clear_background_color = clearBackgroundColor;
+      this._pattern = null;
+    };
+  },
+  addCustomNodeDefs(node_defs) {
+    const sortObjectKeys = /* @__PURE__ */ __name((unordered) => {
+      return Object.keys(unordered).sort().reduce((obj, key) => {
+        obj[key] = unordered[key];
+        return obj;
+      }, {});
+    }, "sortObjectKeys");
+    function getSlotTypes() {
+      var types = [];
+      const defs = node_defs;
+      for (const nodeId in defs) {
+        const nodeData = defs[nodeId];
+        var inputs = nodeData["input"]["required"];
+        if (nodeData["input"]["optional"] !== void 0) {
+          inputs = Object.assign(
+            {},
+            nodeData["input"]["required"],
+            nodeData["input"]["optional"]
+          );
+        }
+        for (const inputName in inputs) {
+          const inputData = inputs[inputName];
+          const type = inputData[0];
+          if (!Array.isArray(type)) {
+            types.push(type);
+          }
+        }
+        for (const o in nodeData["output"]) {
+          const output = nodeData["output"][o];
+          types.push(output);
+        }
+      }
+      return types;
+    }
+    __name(getSlotTypes, "getSlotTypes");
+    function completeColorPalette(colorPalette) {
+      var types = getSlotTypes();
+      for (const type of types) {
+        if (!colorPalette.colors.node_slot[type]) {
+          colorPalette.colors.node_slot[type] = "";
+        }
+      }
+      colorPalette.colors.node_slot = sortObjectKeys(
+        colorPalette.colors.node_slot
+      );
+      return colorPalette;
+    }
+    __name(completeColorPalette, "completeColorPalette");
+    const getColorPaletteTemplate = /* @__PURE__ */ __name(async () => {
+      let colorPalette = {
+        id: "my_color_palette_unique_id",
+        name: "My Color Palette",
+        colors: {
+          node_slot: {},
+          litegraph_base: {},
+          comfy_base: {}
+        }
+      };
+      const defaultColorPalette = colorPalettes[defaultColorPaletteId];
+      for (const key in defaultColorPalette.colors.litegraph_base) {
+        if (!colorPalette.colors.litegraph_base[key]) {
+          colorPalette.colors.litegraph_base[key] = "";
+        }
+      }
+      for (const key in defaultColorPalette.colors.comfy_base) {
+        if (!colorPalette.colors.comfy_base[key]) {
+          colorPalette.colors.comfy_base[key] = "";
+        }
+      }
+      return completeColorPalette(colorPalette);
+    }, "getColorPaletteTemplate");
+    const getCustomColorPalettes = /* @__PURE__ */ __name(() => {
+      return app.ui.settings.getSettingValue(idCustomColorPalettes, {});
+    }, "getCustomColorPalettes");
+    const setCustomColorPalettes = /* @__PURE__ */ __name((customColorPalettes) => {
+      return app.ui.settings.setSettingValue(
+        idCustomColorPalettes,
+        customColorPalettes
+      );
+    }, "setCustomColorPalettes");
+    const addCustomColorPalette = /* @__PURE__ */ __name(async (colorPalette) => {
+      if (typeof colorPalette !== "object") {
+        alert("Invalid color palette.");
+        return;
+      }
+      if (!colorPalette.id) {
+        alert("Color palette missing id.");
+        return;
+      }
+      if (!colorPalette.name) {
+        alert("Color palette missing name.");
+        return;
+      }
+      if (!colorPalette.colors) {
+        alert("Color palette missing colors.");
+        return;
+      }
+      if (colorPalette.colors.node_slot && typeof colorPalette.colors.node_slot !== "object") {
+        alert("Invalid color palette colors.node_slot.");
+        return;
+      }
+      const customColorPalettes = getCustomColorPalettes();
+      customColorPalettes[colorPalette.id] = colorPalette;
+      setCustomColorPalettes(customColorPalettes);
+      for (const option of els.select.childNodes) {
+        if (option.value === "custom_" + colorPalette.id) {
+          els.select.removeChild(option);
+        }
+      }
+      els.select.append(
+        $el("option", {
+          textContent: colorPalette.name + " (custom)",
+          value: "custom_" + colorPalette.id,
+          selected: true
+        })
+      );
+      setColorPalette("custom_" + colorPalette.id);
+      await loadColorPalette(colorPalette);
+    }, "addCustomColorPalette");
+    const deleteCustomColorPalette = /* @__PURE__ */ __name(async (colorPaletteId) => {
+      const customColorPalettes = getCustomColorPalettes();
+      delete customColorPalettes[colorPaletteId];
+      setCustomColorPalettes(customColorPalettes);
+      for (const opt of els.select.childNodes) {
+        const option = opt;
+        if (option.value === defaultColorPaletteId) {
+          option.selected = true;
+        }
+        if (option.value === "custom_" + colorPaletteId) {
+          els.select.removeChild(option);
+        }
+      }
+      setColorPalette(defaultColorPaletteId);
+      await loadColorPalette(getColorPalette());
+    }, "deleteCustomColorPalette");
+    const loadColorPalette = /* @__PURE__ */ __name(async (colorPalette) => {
+      colorPalette = await completeColorPalette(colorPalette);
+      if (colorPalette.colors) {
+        if (colorPalette.colors.node_slot) {
+          Object.assign(
+            // @ts-expect-error
+            app.canvas.default_connection_color_byType,
+            colorPalette.colors.node_slot
+          );
+          Object.assign(
+            LGraphCanvas.link_type_colors,
+            colorPalette.colors.node_slot
+          );
+        }
+        if (colorPalette.colors.litegraph_base) {
+          app.canvas.node_title_color = colorPalette.colors.litegraph_base.NODE_TITLE_COLOR;
+          app.canvas.default_link_color = colorPalette.colors.litegraph_base.LINK_COLOR;
+          for (const key in colorPalette.colors.litegraph_base) {
+            if (colorPalette.colors.litegraph_base.hasOwnProperty(key) && LiteGraph.hasOwnProperty(key)) {
+              LiteGraph[key] = colorPalette.colors.litegraph_base[key];
+            }
+          }
+        }
+        if (colorPalette.colors.comfy_base) {
+          const rootStyle = document.documentElement.style;
+          for (const key in colorPalette.colors.comfy_base) {
+            rootStyle.setProperty(
+              "--" + key,
+              colorPalette.colors.comfy_base[key]
+            );
+          }
+        }
+        app.canvas.draw(true, true);
+      }
+    }, "loadColorPalette");
+    const getColorPalette = /* @__PURE__ */ __name((colorPaletteId) => {
+      if (!colorPaletteId) {
+        colorPaletteId = app.ui.settings.getSettingValue(
+          id$4,
+          defaultColorPaletteId
+        );
+      }
+      if (colorPaletteId.startsWith("custom_")) {
+        colorPaletteId = colorPaletteId.substr(7);
+        let customColorPalettes = getCustomColorPalettes();
+        if (customColorPalettes[colorPaletteId]) {
+          return customColorPalettes[colorPaletteId];
+        }
+      }
+      return colorPalettes[colorPaletteId];
+    }, "getColorPalette");
+    const setColorPalette = /* @__PURE__ */ __name((colorPaletteId) => {
+      app.ui.settings.setSettingValue(id$4, colorPaletteId);
+    }, "setColorPalette");
+    const fileInput = $el("input", {
+      type: "file",
+      accept: ".json",
+      style: { display: "none" },
+      parent: document.body,
+      onchange: /* @__PURE__ */ __name(() => {
+        const file2 = fileInput.files[0];
+        if (file2.type === "application/json" || file2.name.endsWith(".json")) {
+          const reader = new FileReader();
+          reader.onload = async () => {
+            await addCustomColorPalette(JSON.parse(reader.result));
+          };
+          reader.readAsText(file2);
+        }
+      }, "onchange")
+    });
+    app.ui.settings.addSetting({
+      id: id$4,
+      category: ["Comfy", "ColorPalette"],
+      name: "Color Palette",
+      type: /* @__PURE__ */ __name((name, setter, value) => {
+        const options = [
+          ...Object.values(colorPalettes).map(
+            (c) => $el("option", {
+              textContent: c.name,
+              value: c.id,
+              selected: c.id === value
+            })
+          ),
+          ...Object.values(getCustomColorPalettes()).map(
+            (c) => $el("option", {
+              textContent: `${c.name} (custom)`,
+              value: `custom_${c.id}`,
+              selected: `custom_${c.id}` === value
+            })
+          )
+        ];
+        els.select = $el(
+          "select",
+          {
+            style: {
+              marginBottom: "0.15rem",
+              width: "100%"
+            },
+            onchange: /* @__PURE__ */ __name((e) => {
+              setter(e.target.value);
+            }, "onchange")
+          },
+          options
+        );
+        return $el("tr", [
+          $el("td", [
+            els.select,
+            $el(
+              "div",
+              {
+                style: {
+                  display: "grid",
+                  gap: "4px",
+                  gridAutoFlow: "column"
+                }
+              },
+              [
+                $el("input", {
+                  type: "button",
+                  value: "Export",
+                  onclick: /* @__PURE__ */ __name(async () => {
+                    const colorPaletteId = app.ui.settings.getSettingValue(
+                      id$4,
+                      defaultColorPaletteId
+                    );
+                    const colorPalette = await completeColorPalette(
+                      getColorPalette(colorPaletteId)
+                    );
+                    const json = JSON.stringify(colorPalette, null, 2);
+                    const blob = new Blob([json], { type: "application/json" });
+                    const url = URL.createObjectURL(blob);
+                    const a = $el("a", {
+                      href: url,
+                      download: colorPaletteId + ".json",
+                      style: { display: "none" },
+                      parent: document.body
+                    });
+                    a.click();
+                    setTimeout(function() {
+                      a.remove();
+                      window.URL.revokeObjectURL(url);
+                    }, 0);
+                  }, "onclick")
+                }),
+                $el("input", {
+                  type: "button",
+                  value: "Import",
+                  onclick: /* @__PURE__ */ __name(() => {
+                    fileInput.click();
+                  }, "onclick")
+                }),
+                $el("input", {
+                  type: "button",
+                  value: "Template",
+                  onclick: /* @__PURE__ */ __name(async () => {
+                    const colorPalette = await getColorPaletteTemplate();
+                    const json = JSON.stringify(colorPalette, null, 2);
+                    const blob = new Blob([json], { type: "application/json" });
+                    const url = URL.createObjectURL(blob);
+                    const a = $el("a", {
+                      href: url,
+                      download: "color_palette.json",
+                      style: { display: "none" },
+                      parent: document.body
+                    });
+                    a.click();
+                    setTimeout(function() {
+                      a.remove();
+                      window.URL.revokeObjectURL(url);
+                    }, 0);
+                  }, "onclick")
+                }),
+                $el("input", {
+                  type: "button",
+                  value: "Delete",
+                  onclick: /* @__PURE__ */ __name(async () => {
+                    let colorPaletteId = app.ui.settings.getSettingValue(
+                      id$4,
+                      defaultColorPaletteId
+                    );
+                    if (colorPalettes[colorPaletteId]) {
+                      alert("You cannot delete a built-in color palette.");
+                      return;
+                    }
+                    if (colorPaletteId.startsWith("custom_")) {
+                      colorPaletteId = colorPaletteId.substr(7);
+                    }
+                    await deleteCustomColorPalette(colorPaletteId);
+                  }, "onclick")
+                })
+              ]
+            )
+          ])
+        ]);
+      }, "type"),
+      defaultValue: defaultColorPaletteId,
+      async onChange(value) {
+        if (!value) {
+          return;
+        }
+        let palette = colorPalettes[value];
+        if (palette) {
+          await loadColorPalette(palette);
+        } else if (value.startsWith("custom_")) {
+          value = value.substr(7);
+          let customColorPalettes = getCustomColorPalettes();
+          if (customColorPalettes[value]) {
+            palette = customColorPalettes[value];
+            await loadColorPalette(customColorPalettes[value]);
+          }
+        }
+        let { BACKGROUND_IMAGE, CLEAR_BACKGROUND_COLOR } = palette.colors.litegraph_base;
+        if (BACKGROUND_IMAGE === void 0 || CLEAR_BACKGROUND_COLOR === void 0) {
+          const base = colorPalettes["dark"].colors.litegraph_base;
+          BACKGROUND_IMAGE = base.BACKGROUND_IMAGE;
+          CLEAR_BACKGROUND_COLOR = base.CLEAR_BACKGROUND_COLOR;
+        }
+        app.canvas.updateBackground(BACKGROUND_IMAGE, CLEAR_BACKGROUND_COLOR);
+      }
+    });
+  }
+});
+const ext$2 = {
+  name: "Comfy.ContextMenuFilter",
+  init() {
+    const ctxMenu = LiteGraph.ContextMenu;
+    LiteGraph.ContextMenu = function(values, options) {
+      const ctx = new ctxMenu(values, options);
+      if (options?.className === "dark" && values?.length > 4) {
+        const filter = document.createElement("input");
+        filter.classList.add("comfy-context-menu-filter");
+        filter.placeholder = "Filter list";
+        ctx.root.prepend(filter);
+        const items = Array.from(
+          ctx.root.querySelectorAll(".litemenu-entry")
+        );
+        let displayedItems = [...items];
+        let itemCount = displayedItems.length;
+        requestAnimationFrame(() => {
+          const currentNode = LGraphCanvas.active_canvas.current_node;
+          const clickedComboValue = currentNode.widgets?.filter(
+            (w) => w.type === "combo" && w.options.values.length === values.length
+          ).find(
+            (w) => w.options.values.every((v, i) => v === values[i])
+          )?.value;
+          let selectedIndex = clickedComboValue ? values.findIndex((v) => v === clickedComboValue) : 0;
+          if (selectedIndex < 0) {
+            selectedIndex = 0;
+          }
+          let selectedItem = displayedItems[selectedIndex];
+          updateSelected();
+          function updateSelected() {
+            selectedItem?.style.setProperty("background-color", "");
+            selectedItem?.style.setProperty("color", "");
+            selectedItem = displayedItems[selectedIndex];
+            selectedItem?.style.setProperty(
+              "background-color",
+              "#ccc",
+              "important"
+            );
+            selectedItem?.style.setProperty("color", "#000", "important");
+          }
+          __name(updateSelected, "updateSelected");
+          const positionList = /* @__PURE__ */ __name(() => {
+            const rect = ctx.root.getBoundingClientRect();
+            if (rect.top < 0) {
+              const scale = 1 - ctx.root.getBoundingClientRect().height / ctx.root.clientHeight;
+              const shift = ctx.root.clientHeight * scale / 2;
+              ctx.root.style.top = -shift + "px";
+            }
+          }, "positionList");
+          filter.addEventListener("keydown", (event) => {
+            switch (event.key) {
+              case "ArrowUp":
+                event.preventDefault();
+                if (selectedIndex === 0) {
+                  selectedIndex = itemCount - 1;
+                } else {
+                  selectedIndex--;
+                }
+                updateSelected();
+                break;
+              case "ArrowRight":
+                event.preventDefault();
+                selectedIndex = itemCount - 1;
+                updateSelected();
+                break;
+              case "ArrowDown":
+                event.preventDefault();
+                if (selectedIndex === itemCount - 1) {
+                  selectedIndex = 0;
+                } else {
+                  selectedIndex++;
+                }
+                updateSelected();
+                break;
+              case "ArrowLeft":
+                event.preventDefault();
+                selectedIndex = 0;
+                updateSelected();
+                break;
+              case "Enter":
+                selectedItem?.click();
+                break;
+              case "Escape":
+                ctx.close();
+                break;
+            }
+          });
+          filter.addEventListener("input", () => {
+            const term = filter.value.toLocaleLowerCase();
+            displayedItems = items.filter((item) => {
+              const isVisible = !term || item.textContent.toLocaleLowerCase().includes(term);
+              item.style.display = isVisible ? "block" : "none";
+              return isVisible;
+            });
+            selectedIndex = 0;
+            if (displayedItems.includes(selectedItem)) {
+              selectedIndex = displayedItems.findIndex(
+                (d) => d === selectedItem
+              );
+            }
+            itemCount = displayedItems.length;
+            updateSelected();
+            if (options.event) {
+              let top = options.event.clientY - 10;
+              const bodyRect = document.body.getBoundingClientRect();
+              const rootRect = ctx.root.getBoundingClientRect();
+              if (bodyRect.height && top > bodyRect.height - rootRect.height - 10) {
+                top = Math.max(0, bodyRect.height - rootRect.height - 10);
+              }
+              ctx.root.style.top = top + "px";
+              positionList();
+            }
+          });
+          requestAnimationFrame(() => {
+            filter.focus();
+            positionList();
+          });
+        });
+      }
+      return ctx;
+    };
+    LiteGraph.ContextMenu.prototype = ctxMenu.prototype;
+  }
+};
+app.registerExtension(ext$2);
+function stripComments(str) {
+  return str.replace(/\/\*[\s\S]*?\*\/|\/\/.*/g, "");
+}
+__name(stripComments, "stripComments");
+app.registerExtension({
+  name: "Comfy.DynamicPrompts",
+  nodeCreated(node) {
+    if (node.widgets) {
+      const widgets = node.widgets.filter((n) => n.dynamicPrompts);
+      for (const widget of widgets) {
+        widget.serializeValue = (workflowNode, widgetIndex) => {
+          let prompt2 = stripComments(widget.value);
+          while (prompt2.replace("\\{", "").includes("{") && prompt2.replace("\\}", "").includes("}")) {
+            const startIndex = prompt2.replace("\\{", "00").indexOf("{");
+            const endIndex = prompt2.replace("\\}", "00").indexOf("}");
+            const optionsString = prompt2.substring(startIndex + 1, endIndex);
+            const options = optionsString.split("|");
+            const randomIndex = Math.floor(Math.random() * options.length);
+            const randomOption = options[randomIndex];
+            prompt2 = prompt2.substring(0, startIndex) + randomOption + prompt2.substring(endIndex + 1);
+          }
+          if (workflowNode?.widgets_values)
+            workflowNode.widgets_values[widgetIndex] = prompt2;
+          return prompt2;
+        };
+      }
+    }
+  }
+});
+app.registerExtension({
+  name: "Comfy.EditAttention",
+  init() {
+    const editAttentionDelta = app.ui.settings.addSetting({
+      id: "Comfy.EditAttention.Delta",
+      name: "Ctrl+up/down precision",
+      type: "slider",
+      attrs: {
+        min: 0.01,
+        max: 0.5,
+        step: 0.01
+      },
+      defaultValue: 0.05
+    });
+    function incrementWeight(weight, delta) {
+      const floatWeight = parseFloat(weight);
+      if (isNaN(floatWeight)) return weight;
+      const newWeight = floatWeight + delta;
+      return String(Number(newWeight.toFixed(10)));
+    }
+    __name(incrementWeight, "incrementWeight");
+    function findNearestEnclosure(text, cursorPos) {
+      let start = cursorPos, end = cursorPos;
+      let openCount = 0, closeCount = 0;
+      while (start >= 0) {
+        start--;
+        if (text[start] === "(" && openCount === closeCount) break;
+        if (text[start] === "(") openCount++;
+        if (text[start] === ")") closeCount++;
+      }
+      if (start < 0) return false;
+      openCount = 0;
+      closeCount = 0;
+      while (end < text.length) {
+        if (text[end] === ")" && openCount === closeCount) break;
+        if (text[end] === "(") openCount++;
+        if (text[end] === ")") closeCount++;
+        end++;
+      }
+      if (end === text.length) return false;
+      return { start: start + 1, end };
+    }
+    __name(findNearestEnclosure, "findNearestEnclosure");
+    function addWeightToParentheses(text) {
+      const parenRegex = /^\((.*)\)$/;
+      const parenMatch = text.match(parenRegex);
+      const floatRegex = /:([+-]?(\d*\.)?\d+([eE][+-]?\d+)?)/;
+      const floatMatch = text.match(floatRegex);
+      if (parenMatch && !floatMatch) {
+        return `(${parenMatch[1]}:1.0)`;
+      } else {
+        return text;
+      }
+    }
+    __name(addWeightToParentheses, "addWeightToParentheses");
+    function editAttention(event) {
+      const inputField = event.composedPath()[0];
+      const delta = parseFloat(editAttentionDelta.value);
+      if (inputField.tagName !== "TEXTAREA") return;
+      if (!(event.key === "ArrowUp" || event.key === "ArrowDown")) return;
+      if (!event.ctrlKey && !event.metaKey) return;
+      event.preventDefault();
+      let start = inputField.selectionStart;
+      let end = inputField.selectionEnd;
+      let selectedText = inputField.value.substring(start, end);
+      if (!selectedText) {
+        const nearestEnclosure = findNearestEnclosure(inputField.value, start);
+        if (nearestEnclosure) {
+          start = nearestEnclosure.start;
+          end = nearestEnclosure.end;
+          selectedText = inputField.value.substring(start, end);
+        } else {
+          const delimiters = " .,\\/!?%^*;:{}=-_`~()\r\n	";
+          while (!delimiters.includes(inputField.value[start - 1]) && start > 0) {
+            start--;
+          }
+          while (!delimiters.includes(inputField.value[end]) && end < inputField.value.length) {
+            end++;
+          }
+          selectedText = inputField.value.substring(start, end);
+          if (!selectedText) return;
+        }
+      }
+      if (selectedText[selectedText.length - 1] === " ") {
+        selectedText = selectedText.substring(0, selectedText.length - 1);
+        end -= 1;
+      }
+      if (inputField.value[start - 1] === "(" && inputField.value[end] === ")") {
+        start -= 1;
+        end += 1;
+        selectedText = inputField.value.substring(start, end);
+      }
+      if (selectedText[0] !== "(" || selectedText[selectedText.length - 1] !== ")") {
+        selectedText = `(${selectedText})`;
+      }
+      selectedText = addWeightToParentheses(selectedText);
+      const weightDelta = event.key === "ArrowUp" ? delta : -delta;
+      const updatedText = selectedText.replace(
+        /\((.*):([+-]?\d+(?:\.\d+)?)\)/,
+        (match, text, weight) => {
+          weight = incrementWeight(weight, weightDelta);
+          if (weight == 1) {
+            return text;
+          } else {
+            return `(${text}:${weight})`;
+          }
+        }
+      );
+      inputField.setSelectionRange(start, end);
+      document.execCommand("insertText", false, updatedText);
+      inputField.setSelectionRange(start, start + updatedText.length);
+    }
+    __name(editAttention, "editAttention");
+    window.addEventListener("keydown", editAttention);
+  }
+});
+const CONVERTED_TYPE = "converted-widget";
+const VALID_TYPES = ["STRING", "combo", "number", "toggle", "BOOLEAN"];
+const CONFIG = Symbol();
+const GET_CONFIG = Symbol();
+const TARGET = Symbol();
+const replacePropertyName = "Run widget replace on values";
+class PrimitiveNode extends LGraphNode {
+  static {
+    __name(this, "PrimitiveNode");
+  }
+  controlValues;
+  lastType;
+  static category;
+  constructor(title) {
+    super(title);
+    this.addOutput("connect to widget input", "*");
+    this.serialize_widgets = true;
+    this.isVirtualNode = true;
+    if (!this.properties || !(replacePropertyName in this.properties)) {
+      this.addProperty(replacePropertyName, false, "boolean");
+    }
+  }
+  applyToGraph(extraLinks = []) {
+    if (!this.outputs[0].links?.length) return;
+    function get_links(node) {
+      let links2 = [];
+      for (const l of node.outputs[0].links) {
+        const linkInfo = app.graph.links[l];
+        const n = node.graph.getNodeById(linkInfo.target_id);
+        if (n.type == "Reroute") {
+          links2 = links2.concat(get_links(n));
+        } else {
+          links2.push(l);
+        }
+      }
+      return links2;
+    }
+    __name(get_links, "get_links");
+    let links = [
+      ...get_links(this).map((l) => app.graph.links[l]),
+      ...extraLinks
+    ];
+    let v = this.widgets?.[0].value;
+    if (v && this.properties[replacePropertyName]) {
+      v = applyTextReplacements(app, v);
+    }
+    for (const linkInfo of links) {
+      const node = this.graph.getNodeById(linkInfo.target_id);
+      const input = node.inputs[linkInfo.target_slot];
+      let widget;
+      if (input.widget[TARGET]) {
+        widget = input.widget[TARGET];
+      } else {
+        const widgetName = input.widget.name;
+        if (widgetName) {
+          widget = node.widgets.find((w) => w.name === widgetName);
+        }
+      }
+      if (widget) {
+        widget.value = v;
+        if (widget.callback) {
+          widget.callback(
+            widget.value,
+            app.canvas,
+            node,
+            app.canvas.graph_mouse,
+            {}
+          );
+        }
+      }
+    }
+  }
+  refreshComboInNode() {
+    const widget = this.widgets?.[0];
+    if (widget?.type === "combo") {
+      widget.options.values = this.outputs[0].widget[GET_CONFIG]()[0];
+      if (!widget.options.values.includes(widget.value)) {
+        widget.value = widget.options.values[0];
+        widget.callback(widget.value);
+      }
+    }
+  }
+  onAfterGraphConfigured() {
+    if (this.outputs[0].links?.length && !this.widgets?.length) {
+      if (!this.#onFirstConnection()) return;
+      if (this.widgets) {
+        for (let i = 0; i < this.widgets_values.length; i++) {
+          const w = this.widgets[i];
+          if (w) {
+            w.value = this.widgets_values[i];
+          }
+        }
+      }
+      this.#mergeWidgetConfig();
+    }
+  }
+  onConnectionsChange(_, index, connected) {
+    if (app.configuringGraph) {
+      return;
+    }
+    const links = this.outputs[0].links;
+    if (connected) {
+      if (links?.length && !this.widgets?.length) {
+        this.#onFirstConnection();
+      }
+    } else {
+      this.#mergeWidgetConfig();
+      if (!links?.length) {
+        this.onLastDisconnect();
+      }
+    }
+  }
+  onConnectOutput(slot, type, input, target_node, target_slot) {
+    if (!input.widget) {
+      if (!(input.type in ComfyWidgets)) return false;
+    }
+    if (this.outputs[slot].links?.length) {
+      const valid = this.#isValidConnection(input);
+      if (valid) {
+        this.applyToGraph([{ target_id: target_node.id, target_slot }]);
+      }
+      return valid;
+    }
+  }
+  #onFirstConnection(recreating) {
+    if (!this.outputs[0].links) {
+      this.onLastDisconnect();
+      return;
+    }
+    const linkId = this.outputs[0].links[0];
+    const link = this.graph.links[linkId];
+    if (!link) return;
+    const theirNode = this.graph.getNodeById(link.target_id);
+    if (!theirNode || !theirNode.inputs) return;
+    const input = theirNode.inputs[link.target_slot];
+    if (!input) return;
+    let widget;
+    if (!input.widget) {
+      if (!(input.type in ComfyWidgets)) return;
+      widget = { name: input.name, [GET_CONFIG]: () => [input.type, {}] };
+    } else {
+      widget = input.widget;
+    }
+    const config = widget[GET_CONFIG]?.();
+    if (!config) return;
+    const { type } = getWidgetType(config);
+    this.outputs[0].type = type;
+    this.outputs[0].name = type;
+    this.outputs[0].widget = widget;
+    this.#createWidget(
+      widget[CONFIG] ?? config,
+      theirNode,
+      widget.name,
+      recreating,
+      widget[TARGET]
+    );
+  }
+  #createWidget(inputData, node, widgetName, recreating, targetWidget) {
+    let type = inputData[0];
+    if (type instanceof Array) {
+      type = "COMBO";
+    }
+    const size = this.size;
+    let widget;
+    if (type in ComfyWidgets) {
+      widget = (ComfyWidgets[type](this, "value", inputData, app) || {}).widget;
+    } else {
+      widget = this.addWidget(type, "value", null, () => {
+      }, {});
+    }
+    if (targetWidget) {
+      widget.value = targetWidget.value;
+    } else if (node?.widgets && widget) {
+      const theirWidget = node.widgets.find((w) => w.name === widgetName);
+      if (theirWidget) {
+        widget.value = theirWidget.value;
+      }
+    }
+    if (!inputData?.[1]?.control_after_generate && (widget.type === "number" || widget.type === "combo")) {
+      let control_value = this.widgets_values?.[1];
+      if (!control_value) {
+        control_value = "fixed";
+      }
+      addValueControlWidgets(
+        this,
+        widget,
+        control_value,
+        void 0,
+        inputData
+      );
+      let filter = this.widgets_values?.[2];
+      if (filter && this.widgets.length === 3) {
+        this.widgets[2].value = filter;
+      }
+    }
+    const controlValues = this.controlValues;
+    if (this.lastType === this.widgets[0].type && controlValues?.length === this.widgets.length - 1) {
+      for (let i = 0; i < controlValues.length; i++) {
+        this.widgets[i + 1].value = controlValues[i];
+      }
+    }
+    const callback = widget.callback;
+    const self = this;
+    widget.callback = function() {
+      const r = callback ? callback.apply(this, arguments) : void 0;
+      self.applyToGraph();
+      return r;
+    };
+    this.size = [
+      Math.max(this.size[0], size[0]),
+      Math.max(this.size[1], size[1])
+    ];
+    if (!recreating) {
+      const sz = this.computeSize();
+      if (this.size[0] < sz[0]) {
+        this.size[0] = sz[0];
+      }
+      if (this.size[1] < sz[1]) {
+        this.size[1] = sz[1];
+      }
+      requestAnimationFrame(() => {
+        if (this.onResize) {
+          this.onResize(this.size);
+        }
+      });
+    }
+  }
+  recreateWidget() {
+    const values = this.widgets?.map((w) => w.value);
+    this.#removeWidgets();
+    this.#onFirstConnection(true);
+    if (values?.length) {
+      for (let i = 0; i < this.widgets?.length; i++)
+        this.widgets[i].value = values[i];
+    }
+    return this.widgets?.[0];
+  }
+  #mergeWidgetConfig() {
+    const output = this.outputs[0];
+    const links = output.links;
+    const hasConfig = !!output.widget[CONFIG];
+    if (hasConfig) {
+      delete output.widget[CONFIG];
+    }
+    if (links?.length < 2 && hasConfig) {
+      if (links.length) {
+        this.recreateWidget();
+      }
+      return;
+    }
+    const config1 = output.widget[GET_CONFIG]();
+    const isNumber = config1[0] === "INT" || config1[0] === "FLOAT";
+    if (!isNumber) return;
+    for (const linkId of links) {
+      const link = app.graph.links[linkId];
+      if (!link) continue;
+      const theirNode = app.graph.getNodeById(link.target_id);
+      const theirInput = theirNode.inputs[link.target_slot];
+      this.#isValidConnection(theirInput, hasConfig);
+    }
+  }
+  #isValidConnection(input, forceUpdate) {
+    const output = this.outputs[0];
+    const config2 = input.widget[GET_CONFIG]();
+    return !!mergeIfValid.call(
+      this,
+      output,
+      config2,
+      forceUpdate,
+      this.recreateWidget
+    );
+  }
+  #removeWidgets() {
+    if (this.widgets) {
+      for (const w of this.widgets) {
+        if (w.onRemove) {
+          w.onRemove();
+        }
+      }
+      this.controlValues = [];
+      this.lastType = this.widgets[0]?.type;
+      for (let i = 1; i < this.widgets.length; i++) {
+        this.controlValues.push(this.widgets[i].value);
+      }
+      setTimeout(() => {
+        delete this.lastType;
+        delete this.controlValues;
+      }, 15);
+      this.widgets.length = 0;
+    }
+  }
+  onLastDisconnect() {
+    this.outputs[0].type = "*";
+    this.outputs[0].name = "connect to widget input";
+    delete this.outputs[0].widget;
+    this.#removeWidgets();
+  }
+}
+function getWidgetConfig(slot) {
+  return slot.widget[CONFIG] ?? slot.widget[GET_CONFIG]();
+}
+__name(getWidgetConfig, "getWidgetConfig");
+function getConfig(widgetName) {
+  const { nodeData } = this.constructor;
+  return nodeData?.input?.required?.[widgetName] ?? nodeData?.input?.optional?.[widgetName];
+}
+__name(getConfig, "getConfig");
+function isConvertibleWidget(widget, config) {
+  return (VALID_TYPES.includes(widget.type) || VALID_TYPES.includes(config[0])) && !widget.options?.forceInput;
+}
+__name(isConvertibleWidget, "isConvertibleWidget");
+function hideWidget(node, widget, suffix = "") {
+  if (widget.type?.startsWith(CONVERTED_TYPE)) return;
+  widget.origType = widget.type;
+  widget.origComputeSize = widget.computeSize;
+  widget.origSerializeValue = widget.serializeValue;
+  widget.computeSize = () => [0, -4];
+  widget.type = CONVERTED_TYPE + suffix;
+  widget.serializeValue = () => {
+    if (!node.inputs) {
+      return void 0;
+    }
+    let node_input = node.inputs.find((i) => i.widget?.name === widget.name);
+    if (!node_input || !node_input.link) {
+      return void 0;
+    }
+    return widget.origSerializeValue ? widget.origSerializeValue() : widget.value;
+  };
+  if (widget.linkedWidgets) {
+    for (const w of widget.linkedWidgets) {
+      hideWidget(node, w, ":" + widget.name);
+    }
+  }
+}
+__name(hideWidget, "hideWidget");
+function showWidget(widget) {
+  widget.type = widget.origType;
+  widget.computeSize = widget.origComputeSize;
+  widget.serializeValue = widget.origSerializeValue;
+  delete widget.origType;
+  delete widget.origComputeSize;
+  delete widget.origSerializeValue;
+  if (widget.linkedWidgets) {
+    for (const w of widget.linkedWidgets) {
+      showWidget(w);
+    }
+  }
+}
+__name(showWidget, "showWidget");
+function convertToInput(node, widget, config) {
+  hideWidget(node, widget);
+  const { type } = getWidgetType(config);
+  const sz = node.size;
+  node.addInput(widget.name, type, {
+    widget: { name: widget.name, [GET_CONFIG]: () => config }
+  });
+  for (const widget2 of node.widgets) {
+    widget2.last_y += LiteGraph.NODE_SLOT_HEIGHT;
+  }
+  node.setSize([Math.max(sz[0], node.size[0]), Math.max(sz[1], node.size[1])]);
+}
+__name(convertToInput, "convertToInput");
+function convertToWidget(node, widget) {
+  showWidget(widget);
+  const sz = node.size;
+  node.removeInput(node.inputs.findIndex((i) => i.widget?.name === widget.name));
+  for (const widget2 of node.widgets) {
+    widget2.last_y -= LiteGraph.NODE_SLOT_HEIGHT;
+  }
+  node.setSize([Math.max(sz[0], node.size[0]), Math.max(sz[1], node.size[1])]);
+}
+__name(convertToWidget, "convertToWidget");
+function getWidgetType(config) {
+  let type = config[0];
+  if (type instanceof Array) {
+    type = "COMBO";
+  }
+  return { type };
+}
+__name(getWidgetType, "getWidgetType");
+function isValidCombo(combo, obj) {
+  if (!(obj instanceof Array)) {
+    console.log(`connection rejected: tried to connect combo to ${obj}`);
+    return false;
+  }
+  if (combo.length !== obj.length) {
+    console.log(`connection rejected: combo lists dont match`);
+    return false;
+  }
+  if (combo.find((v, i) => obj[i] !== v)) {
+    console.log(`connection rejected: combo lists dont match`);
+    return false;
+  }
+  return true;
+}
+__name(isValidCombo, "isValidCombo");
+function isPrimitiveNode(node) {
+  return node.type === "PrimitiveNode";
+}
+__name(isPrimitiveNode, "isPrimitiveNode");
+function setWidgetConfig(slot, config, target) {
+  if (!slot.widget) return;
+  if (config) {
+    slot.widget[GET_CONFIG] = () => config;
+    slot.widget[TARGET] = target;
+  } else {
+    delete slot.widget;
+  }
+  if (slot.link) {
+    const link = app.graph.links[slot.link];
+    if (link) {
+      const originNode = app.graph.getNodeById(link.origin_id);
+      if (isPrimitiveNode(originNode)) {
+        if (config) {
+          originNode.recreateWidget();
+        } else if (!app.configuringGraph) {
+          originNode.disconnectOutput(0);
+          originNode.onLastDisconnect();
+        }
+      }
+    }
+  }
+}
+__name(setWidgetConfig, "setWidgetConfig");
+function mergeIfValid(output, config2, forceUpdate, recreateWidget, config1) {
+  if (!config1) {
+    config1 = output.widget[CONFIG] ?? output.widget[GET_CONFIG]();
+  }
+  if (config1[0] instanceof Array) {
+    if (!isValidCombo(config1[0], config2[0])) return;
+  } else if (config1[0] !== config2[0]) {
+    console.log(`connection rejected: types dont match`, config1[0], config2[0]);
+    return;
+  }
+  const keys = /* @__PURE__ */ new Set([
+    ...Object.keys(config1[1] ?? {}),
+    ...Object.keys(config2[1] ?? {})
+  ]);
+  let customConfig;
+  const getCustomConfig = /* @__PURE__ */ __name(() => {
+    if (!customConfig) {
+      if (typeof structuredClone === "undefined") {
+        customConfig = JSON.parse(JSON.stringify(config1[1] ?? {}));
+      } else {
+        customConfig = structuredClone(config1[1] ?? {});
+      }
+    }
+    return customConfig;
+  }, "getCustomConfig");
+  const isNumber = config1[0] === "INT" || config1[0] === "FLOAT";
+  for (const k of keys.values()) {
+    if (k !== "default" && k !== "forceInput" && k !== "defaultInput" && k !== "control_after_generate" && k !== "multiline" && k !== "tooltip") {
+      let v1 = config1[1][k];
+      let v2 = config2[1]?.[k];
+      if (v1 === v2 || !v1 && !v2) continue;
+      if (isNumber) {
+        if (k === "min") {
+          const theirMax = config2[1]?.["max"];
+          if (theirMax != null && v1 > theirMax) {
+            console.log("connection rejected: min > max", v1, theirMax);
+            return;
+          }
+          getCustomConfig()[k] = v1 == null ? v2 : v2 == null ? v1 : Math.max(v1, v2);
+          continue;
+        } else if (k === "max") {
+          const theirMin = config2[1]?.["min"];
+          if (theirMin != null && v1 < theirMin) {
+            console.log("connection rejected: max < min", v1, theirMin);
+            return;
+          }
+          getCustomConfig()[k] = v1 == null ? v2 : v2 == null ? v1 : Math.min(v1, v2);
+          continue;
+        } else if (k === "step") {
+          let step;
+          if (v1 == null) {
+            step = v2;
+          } else if (v2 == null) {
+            step = v1;
+          } else {
+            if (v1 < v2) {
+              const a = v2;
+              v2 = v1;
+              v1 = a;
+            }
+            if (v1 % v2) {
+              console.log(
+                "connection rejected: steps not divisible",
+                "current:",
+                v1,
+                "new:",
+                v2
+              );
+              return;
+            }
+            step = v1;
+          }
+          getCustomConfig()[k] = step;
+          continue;
+        }
+      }
+      console.log(`connection rejected: config ${k} values dont match`, v1, v2);
+      return;
+    }
+  }
+  if (customConfig || forceUpdate) {
+    if (customConfig) {
+      output.widget[CONFIG] = [config1[0], customConfig];
+    }
+    const widget = recreateWidget?.call(this);
+    if (widget) {
+      const min = widget.options.min;
+      const max = widget.options.max;
+      if (min != null && widget.value < min) widget.value = min;
+      if (max != null && widget.value > max) widget.value = max;
+      widget.callback(widget.value);
+    }
+  }
+  return { customConfig };
+}
+__name(mergeIfValid, "mergeIfValid");
+let useConversionSubmenusSetting;
+app.registerExtension({
+  name: "Comfy.WidgetInputs",
+  init() {
+    useConversionSubmenusSetting = app.ui.settings.addSetting({
+      id: "Comfy.NodeInputConversionSubmenus",
+      name: "In the node context menu, place the entries that convert between input/widget in sub-menus.",
+      type: "boolean",
+      defaultValue: true
+    });
+  },
+  async beforeRegisterNodeDef(nodeType, nodeData, app2) {
+    const origGetExtraMenuOptions = nodeType.prototype.getExtraMenuOptions;
+    nodeType.prototype.convertWidgetToInput = function(widget) {
+      const config = getConfig.call(this, widget.name) ?? [
+        widget.type,
+        widget.options || {}
+      ];
+      if (!isConvertibleWidget(widget, config)) return false;
+      convertToInput(this, widget, config);
+      return true;
+    };
+    nodeType.prototype.getExtraMenuOptions = function(_, options) {
+      const r = origGetExtraMenuOptions ? origGetExtraMenuOptions.apply(this, arguments) : void 0;
+      if (this.widgets) {
+        let toInput = [];
+        let toWidget = [];
+        for (const w of this.widgets) {
+          if (w.options?.forceInput) {
+            continue;
+          }
+          if (w.type === CONVERTED_TYPE) {
+            toWidget.push({
+              content: `Convert ${w.name} to widget`,
+              callback: /* @__PURE__ */ __name(() => convertToWidget(this, w), "callback")
+            });
+          } else {
+            const config = getConfig.call(this, w.name) ?? [
+              w.type,
+              w.options || {}
+            ];
+            if (isConvertibleWidget(w, config)) {
+              toInput.push({
+                content: `Convert ${w.name} to input`,
+                callback: /* @__PURE__ */ __name(() => convertToInput(this, w, config), "callback")
+              });
+            }
+          }
+        }
+        if (toInput.length) {
+          if (useConversionSubmenusSetting.value) {
+            options.push({
+              content: "Convert Widget to Input",
+              submenu: {
+                options: toInput
+              }
+            });
+          } else {
+            options.push(...toInput, null);
+          }
+        }
+        if (toWidget.length) {
+          if (useConversionSubmenusSetting.value) {
+            options.push({
+              content: "Convert Input to Widget",
+              submenu: {
+                options: toWidget
+              }
+            });
+          } else {
+            options.push(...toWidget, null);
+          }
+        }
+      }
+      return r;
+    };
+    nodeType.prototype.onGraphConfigured = function() {
+      if (!this.inputs) return;
+      for (const input of this.inputs) {
+        if (input.widget) {
+          if (!input.widget[GET_CONFIG]) {
+            input.widget[GET_CONFIG] = () => getConfig.call(this, input.widget.name);
+          }
+          if (input.widget.config) {
+            if (input.widget.config[0] instanceof Array) {
+              input.type = "COMBO";
+              const link = app2.graph.links[input.link];
+              if (link) {
+                link.type = input.type;
+              }
+            }
+            delete input.widget.config;
+          }
+          const w = this.widgets.find((w2) => w2.name === input.widget.name);
+          if (w) {
+            hideWidget(this, w);
+          } else {
+            convertToWidget(this, input);
+          }
+        }
+      }
+    };
+    const origOnNodeCreated = nodeType.prototype.onNodeCreated;
+    nodeType.prototype.onNodeCreated = function() {
+      const r = origOnNodeCreated ? origOnNodeCreated.apply(this) : void 0;
+      if (!app2.configuringGraph && this.widgets) {
+        for (const w of this.widgets) {
+          if (w?.options?.forceInput || w?.options?.defaultInput) {
+            const config = getConfig.call(this, w.name) ?? [
+              w.type,
+              w.options || {}
+            ];
+            convertToInput(this, w, config);
+          }
+        }
+      }
+      return r;
+    };
+    const origOnConfigure = nodeType.prototype.onConfigure;
+    nodeType.prototype.onConfigure = function() {
+      const r = origOnConfigure ? origOnConfigure.apply(this, arguments) : void 0;
+      if (!app2.configuringGraph && this.inputs) {
+        for (const input of this.inputs) {
+          if (input.widget && !input.widget[GET_CONFIG]) {
+            input.widget[GET_CONFIG] = () => getConfig.call(this, input.widget.name);
+            const w = this.widgets.find((w2) => w2.name === input.widget.name);
+            if (w) {
+              hideWidget(this, w);
+            }
+          }
+        }
+      }
+      return r;
+    };
+    function isNodeAtPos(pos) {
+      for (const n of app2.graph._nodes) {
+        if (n.pos[0] === pos[0] && n.pos[1] === pos[1]) {
+          return true;
+        }
+      }
+      return false;
+    }
+    __name(isNodeAtPos, "isNodeAtPos");
+    const origOnInputDblClick = nodeType.prototype.onInputDblClick;
+    const ignoreDblClick = Symbol();
+    nodeType.prototype.onInputDblClick = function(slot) {
+      const r = origOnInputDblClick ? origOnInputDblClick.apply(this, arguments) : void 0;
+      const input = this.inputs[slot];
+      if (!input.widget || !input[ignoreDblClick]) {
+        if (!(input.type in ComfyWidgets) && !(input.widget[GET_CONFIG]?.()?.[0] instanceof Array)) {
+          return r;
+        }
+      }
+      const node = LiteGraph.createNode("PrimitiveNode");
+      app2.graph.add(node);
+      const pos = [
+        this.pos[0] - node.size[0] - 30,
+        this.pos[1]
+      ];
+      while (isNodeAtPos(pos)) {
+        pos[1] += LiteGraph.NODE_TITLE_HEIGHT;
+      }
+      node.pos = pos;
+      node.connect(0, this, slot);
+      node.title = input.name;
+      input[ignoreDblClick] = true;
+      setTimeout(() => {
+        delete input[ignoreDblClick];
+      }, 300);
+      return r;
+    };
+    const onConnectInput = nodeType.prototype.onConnectInput;
+    nodeType.prototype.onConnectInput = function(targetSlot, type, output, originNode, originSlot) {
+      const v = onConnectInput?.(this, arguments);
+      if (type !== "COMBO") return v;
+      if (originNode.outputs[originSlot].widget) return v;
+      const targetCombo = this.inputs[targetSlot].widget?.[GET_CONFIG]?.()?.[0];
+      if (!targetCombo || !(targetCombo instanceof Array)) return v;
+      const originConfig = originNode.constructor?.nodeData?.output?.[originSlot];
+      if (!originConfig || !isValidCombo(targetCombo, originConfig)) {
+        return false;
+      }
+      return v;
+    };
+  },
+  registerCustomNodes() {
+    LiteGraph.registerNodeType(
+      "PrimitiveNode",
+      Object.assign(PrimitiveNode, {
+        title: "Primitive"
+      })
+    );
+    PrimitiveNode.category = "utils";
+  }
+});
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.widgetInputs = window.comfyAPI.widgetInputs || {};
+window.comfyAPI.widgetInputs.getWidgetConfig = getWidgetConfig;
+window.comfyAPI.widgetInputs.setWidgetConfig = setWidgetConfig;
+window.comfyAPI.widgetInputs.mergeIfValid = mergeIfValid;
+const ORDER = Symbol();
+function merge(target, source) {
+  if (typeof target === "object" && typeof source === "object") {
+    for (const key in source) {
+      const sv = source[key];
+      if (typeof sv === "object") {
+        let tv = target[key];
+        if (!tv) tv = target[key] = {};
+        merge(tv, source[key]);
+      } else {
+        target[key] = sv;
+      }
+    }
+  }
+  return target;
+}
+__name(merge, "merge");
+class ManageGroupDialog extends ComfyDialog {
+  static {
+    __name(this, "ManageGroupDialog");
+  }
+  tabs;
+  selectedNodeIndex;
+  selectedTab = "Inputs";
+  selectedGroup;
+  modifications = {};
+  nodeItems;
+  app;
+  groupNodeType;
+  groupNodeDef;
+  groupData;
+  innerNodesList;
+  widgetsPage;
+  inputsPage;
+  outputsPage;
+  draggable;
+  get selectedNodeInnerIndex() {
+    return +this.nodeItems[this.selectedNodeIndex].dataset.nodeindex;
+  }
+  constructor(app2) {
+    super();
+    this.app = app2;
+    this.element = $el("dialog.comfy-group-manage", {
+      parent: document.body
+    });
+  }
+  changeTab(tab) {
+    this.tabs[this.selectedTab].tab.classList.remove("active");
+    this.tabs[this.selectedTab].page.classList.remove("active");
+    this.tabs[tab].tab.classList.add("active");
+    this.tabs[tab].page.classList.add("active");
+    this.selectedTab = tab;
+  }
+  changeNode(index, force) {
+    if (!force && this.selectedNodeIndex === index) return;
+    if (this.selectedNodeIndex != null) {
+      this.nodeItems[this.selectedNodeIndex].classList.remove("selected");
+    }
+    this.nodeItems[index].classList.add("selected");
+    this.selectedNodeIndex = index;
+    if (!this.buildInputsPage() && this.selectedTab === "Inputs") {
+      this.changeTab("Widgets");
+    }
+    if (!this.buildWidgetsPage() && this.selectedTab === "Widgets") {
+      this.changeTab("Outputs");
+    }
+    if (!this.buildOutputsPage() && this.selectedTab === "Outputs") {
+      this.changeTab("Inputs");
+    }
+    this.changeTab(this.selectedTab);
+  }
+  getGroupData() {
+    this.groupNodeType = LiteGraph.registered_node_types["workflow/" + this.selectedGroup];
+    this.groupNodeDef = this.groupNodeType.nodeData;
+    this.groupData = GroupNodeHandler.getGroupData(this.groupNodeType);
+  }
+  changeGroup(group, reset = true) {
+    this.selectedGroup = group;
+    this.getGroupData();
+    const nodes = this.groupData.nodeData.nodes;
+    this.nodeItems = nodes.map(
+      (n, i) => $el(
+        "li.draggable-item",
+        {
+          dataset: {
+            nodeindex: n.index + ""
+          },
+          onclick: /* @__PURE__ */ __name(() => {
+            this.changeNode(i);
+          }, "onclick")
+        },
+        [
+          $el("span.drag-handle"),
+          $el(
+            "div",
+            {
+              textContent: n.title ?? n.type
+            },
+            n.title ? $el("span", {
+              textContent: n.type
+            }) : []
+          )
+        ]
+      )
+    );
+    this.innerNodesList.replaceChildren(...this.nodeItems);
+    if (reset) {
+      this.selectedNodeIndex = null;
+      this.changeNode(0);
+    } else {
+      const items = this.draggable.getAllItems();
+      let index = items.findIndex((item) => item.classList.contains("selected"));
+      if (index === -1) index = this.selectedNodeIndex;
+      this.changeNode(index, true);
+    }
+    const ordered = [...nodes];
+    this.draggable?.dispose();
+    this.draggable = new DraggableList(this.innerNodesList, "li");
+    this.draggable.addEventListener(
+      "dragend",
+      ({ detail: { oldPosition, newPosition } }) => {
+        if (oldPosition === newPosition) return;
+        ordered.splice(newPosition, 0, ordered.splice(oldPosition, 1)[0]);
+        for (let i = 0; i < ordered.length; i++) {
+          this.storeModification({
+            nodeIndex: ordered[i].index,
+            section: ORDER,
+            prop: "order",
+            value: i
+          });
+        }
+      }
+    );
+  }
+  storeModification(props) {
+    const { nodeIndex, section, prop, value } = props;
+    const groupMod = this.modifications[this.selectedGroup] ??= {};
+    const nodesMod = groupMod.nodes ??= {};
+    const nodeMod = nodesMod[nodeIndex ?? this.selectedNodeInnerIndex] ??= {};
+    const typeMod = nodeMod[section] ??= {};
+    if (typeof value === "object") {
+      const objMod = typeMod[prop] ??= {};
+      Object.assign(objMod, value);
+    } else {
+      typeMod[prop] = value;
+    }
+  }
+  getEditElement(section, prop, value, placeholder, checked, checkable = true) {
+    if (value === placeholder) value = "";
+    const mods = this.modifications[this.selectedGroup]?.nodes?.[this.selectedNodeInnerIndex]?.[section]?.[prop];
+    if (mods) {
+      if (mods.name != null) {
+        value = mods.name;
+      }
+      if (mods.visible != null) {
+        checked = mods.visible;
+      }
+    }
+    return $el("div", [
+      $el("input", {
+        value,
+        placeholder,
+        type: "text",
+        onchange: /* @__PURE__ */ __name((e) => {
+          this.storeModification({
+            section,
+            prop,
+            value: { name: e.target.value }
+          });
+        }, "onchange")
+      }),
+      $el("label", { textContent: "Visible" }, [
+        $el("input", {
+          type: "checkbox",
+          checked,
+          disabled: !checkable,
+          onchange: /* @__PURE__ */ __name((e) => {
+            this.storeModification({
+              section,
+              prop,
+              value: { visible: !!e.target.checked }
+            });
+          }, "onchange")
+        })
+      ])
+    ]);
+  }
+  buildWidgetsPage() {
+    const widgets = this.groupData.oldToNewWidgetMap[this.selectedNodeInnerIndex];
+    const items = Object.keys(widgets ?? {});
+    const type = app.graph.extra.groupNodes[this.selectedGroup];
+    const config = type.config?.[this.selectedNodeInnerIndex]?.input;
+    this.widgetsPage.replaceChildren(
+      ...items.map((oldName) => {
+        return this.getEditElement(
+          "input",
+          oldName,
+          widgets[oldName],
+          oldName,
+          config?.[oldName]?.visible !== false
+        );
+      })
+    );
+    return !!items.length;
+  }
+  buildInputsPage() {
+    const inputs = this.groupData.nodeInputs[this.selectedNodeInnerIndex];
+    const items = Object.keys(inputs ?? {});
+    const type = app.graph.extra.groupNodes[this.selectedGroup];
+    const config = type.config?.[this.selectedNodeInnerIndex]?.input;
+    this.inputsPage.replaceChildren(
+      ...items.map((oldName) => {
+        let value = inputs[oldName];
+        if (!value) {
+          return;
+        }
+        return this.getEditElement(
+          "input",
+          oldName,
+          value,
+          oldName,
+          config?.[oldName]?.visible !== false
+        );
+      }).filter(Boolean)
+    );
+    return !!items.length;
+  }
+  buildOutputsPage() {
+    const nodes = this.groupData.nodeData.nodes;
+    const innerNodeDef = this.groupData.getNodeDef(
+      nodes[this.selectedNodeInnerIndex]
+    );
+    const outputs = innerNodeDef?.output ?? [];
+    const groupOutputs = this.groupData.oldToNewOutputMap[this.selectedNodeInnerIndex];
+    const type = app.graph.extra.groupNodes[this.selectedGroup];
+    const config = type.config?.[this.selectedNodeInnerIndex]?.output;
+    const node = this.groupData.nodeData.nodes[this.selectedNodeInnerIndex];
+    const checkable = node.type !== "PrimitiveNode";
+    this.outputsPage.replaceChildren(
+      ...outputs.map((type2, slot) => {
+        const groupOutputIndex = groupOutputs?.[slot];
+        const oldName = innerNodeDef.output_name?.[slot] ?? type2;
+        let value = config?.[slot]?.name;
+        const visible = config?.[slot]?.visible || groupOutputIndex != null;
+        if (!value || value === oldName) {
+          value = "";
+        }
+        return this.getEditElement(
+          "output",
+          slot,
+          value,
+          oldName,
+          visible,
+          checkable
+        );
+      }).filter(Boolean)
+    );
+    return !!outputs.length;
+  }
+  show(type) {
+    const groupNodes = Object.keys(app.graph.extra?.groupNodes ?? {}).sort(
+      (a, b) => a.localeCompare(b)
+    );
+    this.innerNodesList = $el(
+      "ul.comfy-group-manage-list-items"
+    );
+    this.widgetsPage = $el("section.comfy-group-manage-node-page");
+    this.inputsPage = $el("section.comfy-group-manage-node-page");
+    this.outputsPage = $el("section.comfy-group-manage-node-page");
+    const pages = $el("div", [
+      this.widgetsPage,
+      this.inputsPage,
+      this.outputsPage
+    ]);
+    this.tabs = [
+      ["Inputs", this.inputsPage],
+      ["Widgets", this.widgetsPage],
+      ["Outputs", this.outputsPage]
+    ].reduce((p, [name, page]) => {
+      p[name] = {
+        tab: $el("a", {
+          onclick: /* @__PURE__ */ __name(() => {
+            this.changeTab(name);
+          }, "onclick"),
+          textContent: name
+        }),
+        page
+      };
+      return p;
+    }, {});
+    const outer = $el("div.comfy-group-manage-outer", [
+      $el("header", [
+        $el("h2", "Group Nodes"),
+        $el(
+          "select",
+          {
+            onchange: /* @__PURE__ */ __name((e) => {
+              this.changeGroup(e.target.value);
+            }, "onchange")
+          },
+          groupNodes.map(
+            (g) => $el("option", {
+              textContent: g,
+              selected: "workflow/" + g === type,
+              value: g
+            })
+          )
+        )
+      ]),
+      $el("main", [
+        $el("section.comfy-group-manage-list", this.innerNodesList),
+        $el("section.comfy-group-manage-node", [
+          $el(
+            "header",
+            Object.values(this.tabs).map((t) => t.tab)
+          ),
+          pages
+        ])
+      ]),
+      $el("footer", [
+        $el(
+          "button.comfy-btn",
+          {
+            onclick: /* @__PURE__ */ __name((e) => {
+              const node = app.graph._nodes.find(
+                (n) => n.type === "workflow/" + this.selectedGroup
+              );
+              if (node) {
+                alert(
+                  "This group node is in use in the current workflow, please first remove these."
+                );
+                return;
+              }
+              if (confirm(
+                `Are you sure you want to remove the node: "${this.selectedGroup}"`
+              )) {
+                delete app.graph.extra.groupNodes[this.selectedGroup];
+                LiteGraph.unregisterNodeType("workflow/" + this.selectedGroup);
+              }
+              this.show();
+            }, "onclick")
+          },
+          "Delete Group Node"
+        ),
+        $el(
+          "button.comfy-btn",
+          {
+            onclick: /* @__PURE__ */ __name(async () => {
+              let nodesByType;
+              let recreateNodes = [];
+              const types = {};
+              for (const g in this.modifications) {
+                const type2 = app.graph.extra.groupNodes[g];
+                let config = type2.config ??= {};
+                let nodeMods = this.modifications[g]?.nodes;
+                if (nodeMods) {
+                  const keys = Object.keys(nodeMods);
+                  if (nodeMods[keys[0]][ORDER]) {
+                    const orderedNodes = [];
+                    const orderedMods = {};
+                    const orderedConfig = {};
+                    for (const n of keys) {
+                      const order = nodeMods[n][ORDER].order;
+                      orderedNodes[order] = type2.nodes[+n];
+                      orderedMods[order] = nodeMods[n];
+                      orderedNodes[order].index = order;
+                    }
+                    for (const l of type2.links) {
+                      if (l[0] != null) l[0] = type2.nodes[l[0]].index;
+                      if (l[2] != null) l[2] = type2.nodes[l[2]].index;
+                    }
+                    if (type2.external) {
+                      for (const ext2 of type2.external) {
+                        ext2[0] = type2.nodes[ext2[0]];
+                      }
+                    }
+                    for (const id2 of keys) {
+                      if (config[id2]) {
+                        orderedConfig[type2.nodes[id2].index] = config[id2];
+                      }
+                      delete config[id2];
+                    }
+                    type2.nodes = orderedNodes;
+                    nodeMods = orderedMods;
+                    type2.config = config = orderedConfig;
+                  }
+                  merge(config, nodeMods);
+                }
+                types[g] = type2;
+                if (!nodesByType) {
+                  nodesByType = app.graph._nodes.reduce((p, n) => {
+                    p[n.type] ??= [];
+                    p[n.type].push(n);
+                    return p;
+                  }, {});
+                }
+                const nodes = nodesByType["workflow/" + g];
+                if (nodes) recreateNodes.push(...nodes);
+              }
+              await GroupNodeConfig.registerFromWorkflow(types, {});
+              for (const node of recreateNodes) {
+                node.recreate();
+              }
+              this.modifications = {};
+              this.app.graph.setDirtyCanvas(true, true);
+              this.changeGroup(this.selectedGroup, false);
+            }, "onclick")
+          },
+          "Save"
+        ),
+        $el(
+          "button.comfy-btn",
+          { onclick: /* @__PURE__ */ __name(() => this.element.close(), "onclick") },
+          "Close"
+        )
+      ])
+    ]);
+    this.element.replaceChildren(outer);
+    this.changeGroup(
+      type ? groupNodes.find((g) => "workflow/" + g === type) : groupNodes[0]
+    );
+    this.element.showModal();
+    this.element.addEventListener("close", () => {
+      this.draggable?.dispose();
+    });
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.groupNodeManage = window.comfyAPI.groupNodeManage || {};
+window.comfyAPI.groupNodeManage.ManageGroupDialog = ManageGroupDialog;
+const GROUP = Symbol();
+const Workflow = {
+  InUse: {
+    Free: 0,
+    Registered: 1,
+    InWorkflow: 2
+  },
+  isInUseGroupNode(name) {
+    const id2 = `workflow/${name}`;
+    if (app.graph.extra?.groupNodes?.[name]) {
+      if (app.graph._nodes.find((n) => n.type === id2)) {
+        return Workflow.InUse.InWorkflow;
+      } else {
+        return Workflow.InUse.Registered;
+      }
+    }
+    return Workflow.InUse.Free;
+  },
+  storeGroupNode(name, data) {
+    let extra = app.graph.extra;
+    if (!extra) app.graph.extra = extra = {};
+    let groupNodes = extra.groupNodes;
+    if (!groupNodes) extra.groupNodes = groupNodes = {};
+    groupNodes[name] = data;
+  }
+};
+class GroupNodeBuilder {
+  static {
+    __name(this, "GroupNodeBuilder");
+  }
+  nodes;
+  nodeData;
+  constructor(nodes) {
+    this.nodes = nodes;
+  }
+  build() {
+    const name = this.getName();
+    if (!name) return;
+    this.sortNodes();
+    this.nodeData = this.getNodeData();
+    Workflow.storeGroupNode(name, this.nodeData);
+    return { name, nodeData: this.nodeData };
+  }
+  getName() {
+    const name = prompt("Enter group name");
+    if (!name) return;
+    const used = Workflow.isInUseGroupNode(name);
+    switch (used) {
+      case Workflow.InUse.InWorkflow:
+        alert(
+          "An in use group node with this name already exists embedded in this workflow, please remove any instances or use a new name."
+        );
+        return;
+      case Workflow.InUse.Registered:
+        if (!confirm(
+          "A group node with this name already exists embedded in this workflow, are you sure you want to overwrite it?"
+        )) {
+          return;
+        }
+        break;
+    }
+    return name;
+  }
+  sortNodes() {
+    const nodesInOrder = app.graph.computeExecutionOrder(false);
+    this.nodes = this.nodes.map((node) => ({ index: nodesInOrder.indexOf(node), node })).sort((a, b) => a.index - b.index || a.node.id - b.node.id).map(({ node }) => node);
+  }
+  getNodeData() {
+    const storeLinkTypes = /* @__PURE__ */ __name((config) => {
+      for (const link of config.links) {
+        const origin = app.graph.getNodeById(link[4]);
+        const type = origin.outputs[link[1]].type;
+        link.push(type);
+      }
+    }, "storeLinkTypes");
+    const storeExternalLinks = /* @__PURE__ */ __name((config) => {
+      config.external = [];
+      for (let i = 0; i < this.nodes.length; i++) {
+        const node = this.nodes[i];
+        if (!node.outputs?.length) continue;
+        for (let slot = 0; slot < node.outputs.length; slot++) {
+          let hasExternal = false;
+          const output = node.outputs[slot];
+          let type = output.type;
+          if (!output.links?.length) continue;
+          for (const l of output.links) {
+            const link = app.graph.links[l];
+            if (!link) continue;
+            if (type === "*") type = link.type;
+            if (!app.canvas.selected_nodes[link.target_id]) {
+              hasExternal = true;
+              break;
+            }
+          }
+          if (hasExternal) {
+            config.external.push([i, slot, type]);
+          }
+        }
+      }
+    }, "storeExternalLinks");
+    const backup = localStorage.getItem("litegrapheditor_clipboard");
+    try {
+      app.canvas.copyToClipboard(this.nodes);
+      const config = JSON.parse(
+        localStorage.getItem("litegrapheditor_clipboard")
+      );
+      storeLinkTypes(config);
+      storeExternalLinks(config);
+      return config;
+    } finally {
+      localStorage.setItem("litegrapheditor_clipboard", backup);
+    }
+  }
+}
+class GroupNodeConfig {
+  static {
+    __name(this, "GroupNodeConfig");
+  }
+  name;
+  nodeData;
+  inputCount;
+  oldToNewOutputMap;
+  newToOldOutputMap;
+  oldToNewInputMap;
+  oldToNewWidgetMap;
+  newToOldWidgetMap;
+  primitiveDefs;
+  widgetToPrimitive;
+  primitiveToWidget;
+  nodeInputs;
+  outputVisibility;
+  nodeDef;
+  inputs;
+  linksFrom;
+  linksTo;
+  externalFrom;
+  constructor(name, nodeData) {
+    this.name = name;
+    this.nodeData = nodeData;
+    this.getLinks();
+    this.inputCount = 0;
+    this.oldToNewOutputMap = {};
+    this.newToOldOutputMap = {};
+    this.oldToNewInputMap = {};
+    this.oldToNewWidgetMap = {};
+    this.newToOldWidgetMap = {};
+    this.primitiveDefs = {};
+    this.widgetToPrimitive = {};
+    this.primitiveToWidget = {};
+    this.nodeInputs = {};
+    this.outputVisibility = [];
+  }
+  async registerType(source = "workflow") {
+    this.nodeDef = {
+      output: [],
+      output_name: [],
+      output_is_list: [],
+      output_is_hidden: [],
+      name: source + "/" + this.name,
+      display_name: this.name,
+      category: "group nodes" + ("/" + source),
+      input: { required: {} },
+      [GROUP]: this
+    };
+    this.inputs = [];
+    const seenInputs = {};
+    const seenOutputs = {};
+    for (let i = 0; i < this.nodeData.nodes.length; i++) {
+      const node = this.nodeData.nodes[i];
+      node.index = i;
+      this.processNode(node, seenInputs, seenOutputs);
+    }
+    for (const p of this.#convertedToProcess) {
+      p();
+    }
+    this.#convertedToProcess = null;
+    await app.registerNodeDef("workflow/" + this.name, this.nodeDef);
+  }
+  getLinks() {
+    this.linksFrom = {};
+    this.linksTo = {};
+    this.externalFrom = {};
+    for (const l of this.nodeData.links) {
+      const [sourceNodeId, sourceNodeSlot, targetNodeId, targetNodeSlot] = l;
+      if (sourceNodeId == null) continue;
+      if (!this.linksFrom[sourceNodeId]) {
+        this.linksFrom[sourceNodeId] = {};
+      }
+      if (!this.linksFrom[sourceNodeId][sourceNodeSlot]) {
+        this.linksFrom[sourceNodeId][sourceNodeSlot] = [];
+      }
+      this.linksFrom[sourceNodeId][sourceNodeSlot].push(l);
+      if (!this.linksTo[targetNodeId]) {
+        this.linksTo[targetNodeId] = {};
+      }
+      this.linksTo[targetNodeId][targetNodeSlot] = l;
+    }
+    if (this.nodeData.external) {
+      for (const ext2 of this.nodeData.external) {
+        if (!this.externalFrom[ext2[0]]) {
+          this.externalFrom[ext2[0]] = { [ext2[1]]: ext2[2] };
+        } else {
+          this.externalFrom[ext2[0]][ext2[1]] = ext2[2];
+        }
+      }
+    }
+  }
+  processNode(node, seenInputs, seenOutputs) {
+    const def = this.getNodeDef(node);
+    if (!def) return;
+    const inputs = { ...def.input?.required, ...def.input?.optional };
+    this.inputs.push(this.processNodeInputs(node, seenInputs, inputs));
+    if (def.output?.length) this.processNodeOutputs(node, seenOutputs, def);
+  }
+  getNodeDef(node) {
+    const def = globalDefs[node.type];
+    if (def) return def;
+    const linksFrom = this.linksFrom[node.index];
+    if (node.type === "PrimitiveNode") {
+      if (!linksFrom) return;
+      let type = linksFrom["0"][0][5];
+      if (type === "COMBO") {
+        const source = node.outputs[0].widget.name;
+        const fromTypeName = this.nodeData.nodes[linksFrom["0"][0][2]].type;
+        const fromType = globalDefs[fromTypeName];
+        const input = fromType.input.required[source] ?? fromType.input.optional[source];
+        type = input[0];
+      }
+      const def2 = this.primitiveDefs[node.index] = {
+        input: {
+          required: {
+            value: [type, {}]
+          }
+        },
+        output: [type],
+        output_name: [],
+        output_is_list: []
+      };
+      return def2;
+    } else if (node.type === "Reroute") {
+      const linksTo = this.linksTo[node.index];
+      if (linksTo && linksFrom && !this.externalFrom[node.index]?.[0]) {
+        return null;
+      }
+      let config = {};
+      let rerouteType = "*";
+      if (linksFrom) {
+        for (const [, , id2, slot] of linksFrom["0"]) {
+          const node2 = this.nodeData.nodes[id2];
+          const input = node2.inputs[slot];
+          if (rerouteType === "*") {
+            rerouteType = input.type;
+          }
+          if (input.widget) {
+            const targetDef = globalDefs[node2.type];
+            const targetWidget = targetDef.input.required[input.widget.name] ?? targetDef.input.optional[input.widget.name];
+            const widget = [targetWidget[0], config];
+            const res = mergeIfValid(
+              {
+                widget
+              },
+              targetWidget,
+              false,
+              null,
+              widget
+            );
+            config = res?.customConfig ?? config;
+          }
+        }
+      } else if (linksTo) {
+        const [id2, slot] = linksTo["0"];
+        rerouteType = this.nodeData.nodes[id2].outputs[slot].type;
+      } else {
+        for (const l of this.nodeData.links) {
+          if (l[2] === node.index) {
+            rerouteType = l[5];
+            break;
+          }
+        }
+        if (rerouteType === "*") {
+          const t = this.externalFrom[node.index]?.[0];
+          if (t) {
+            rerouteType = t;
+          }
+        }
+      }
+      config.forceInput = true;
+      return {
+        input: {
+          required: {
+            [rerouteType]: [rerouteType, config]
+          }
+        },
+        output: [rerouteType],
+        output_name: [],
+        output_is_list: []
+      };
+    }
+    console.warn(
+      "Skipping virtual node " + node.type + " when building group node " + this.name
+    );
+  }
+  getInputConfig(node, inputName, seenInputs, config, extra) {
+    const customConfig = this.nodeData.config?.[node.index]?.input?.[inputName];
+    let name = customConfig?.name ?? node.inputs?.find((inp) => inp.name === inputName)?.label ?? inputName;
+    let key = name;
+    let prefix = "";
+    if (node.type === "PrimitiveNode" && node.title || name in seenInputs) {
+      prefix = `${node.title ?? node.type} `;
+      key = name = `${prefix}${inputName}`;
+      if (name in seenInputs) {
+        name = `${prefix}${seenInputs[name]} ${inputName}`;
+      }
+    }
+    seenInputs[key] = (seenInputs[key] ?? 1) + 1;
+    if (inputName === "seed" || inputName === "noise_seed") {
+      if (!extra) extra = {};
+      extra.control_after_generate = `${prefix}control_after_generate`;
+    }
+    if (config[0] === "IMAGEUPLOAD") {
+      if (!extra) extra = {};
+      extra.widget = this.oldToNewWidgetMap[node.index]?.[config[1]?.widget ?? "image"] ?? "image";
+    }
+    if (extra) {
+      config = [config[0], { ...config[1], ...extra }];
+    }
+    return { name, config, customConfig };
+  }
+  processWidgetInputs(inputs, node, inputNames, seenInputs) {
+    const slots = [];
+    const converted = /* @__PURE__ */ new Map();
+    const widgetMap = this.oldToNewWidgetMap[node.index] = {};
+    for (const inputName of inputNames) {
+      let widgetType = app.getWidgetType(inputs[inputName], inputName);
+      if (widgetType) {
+        const convertedIndex = node.inputs?.findIndex(
+          (inp) => inp.name === inputName && inp.widget?.name === inputName
+        );
+        if (convertedIndex > -1) {
+          converted.set(convertedIndex, inputName);
+          widgetMap[inputName] = null;
+        } else {
+          const { name, config } = this.getInputConfig(
+            node,
+            inputName,
+            seenInputs,
+            inputs[inputName]
+          );
+          this.nodeDef.input.required[name] = config;
+          widgetMap[inputName] = name;
+          this.newToOldWidgetMap[name] = { node, inputName };
+        }
+      } else {
+        slots.push(inputName);
+      }
+    }
+    return { converted, slots };
+  }
+  checkPrimitiveConnection(link, inputName, inputs) {
+    const sourceNode = this.nodeData.nodes[link[0]];
+    if (sourceNode.type === "PrimitiveNode") {
+      const [sourceNodeId, _, targetNodeId, __] = link;
+      const primitiveDef = this.primitiveDefs[sourceNodeId];
+      const targetWidget = inputs[inputName];
+      const primitiveConfig = primitiveDef.input.required.value;
+      const output = { widget: primitiveConfig };
+      const config = mergeIfValid(
+        output,
+        targetWidget,
+        false,
+        null,
+        primitiveConfig
+      );
+      primitiveConfig[1] = config?.customConfig ?? inputs[inputName][1] ? { ...inputs[inputName][1] } : {};
+      let name = this.oldToNewWidgetMap[sourceNodeId]["value"];
+      name = name.substr(0, name.length - 6);
+      primitiveConfig[1].control_after_generate = true;
+      primitiveConfig[1].control_prefix = name;
+      let toPrimitive = this.widgetToPrimitive[targetNodeId];
+      if (!toPrimitive) {
+        toPrimitive = this.widgetToPrimitive[targetNodeId] = {};
+      }
+      if (toPrimitive[inputName]) {
+        toPrimitive[inputName].push(sourceNodeId);
+      }
+      toPrimitive[inputName] = sourceNodeId;
+      let toWidget = this.primitiveToWidget[sourceNodeId];
+      if (!toWidget) {
+        toWidget = this.primitiveToWidget[sourceNodeId] = [];
+      }
+      toWidget.push({ nodeId: targetNodeId, inputName });
+    }
+  }
+  processInputSlots(inputs, node, slots, linksTo, inputMap, seenInputs) {
+    this.nodeInputs[node.index] = {};
+    for (let i = 0; i < slots.length; i++) {
+      const inputName = slots[i];
+      if (linksTo[i]) {
+        this.checkPrimitiveConnection(linksTo[i], inputName, inputs);
+        continue;
+      }
+      const { name, config, customConfig } = this.getInputConfig(
+        node,
+        inputName,
+        seenInputs,
+        inputs[inputName]
+      );
+      this.nodeInputs[node.index][inputName] = name;
+      if (customConfig?.visible === false) continue;
+      this.nodeDef.input.required[name] = config;
+      inputMap[i] = this.inputCount++;
+    }
+  }
+  processConvertedWidgets(inputs, node, slots, converted, linksTo, inputMap, seenInputs) {
+    const convertedSlots = [...converted.keys()].sort().map((k) => converted.get(k));
+    for (let i = 0; i < convertedSlots.length; i++) {
+      const inputName = convertedSlots[i];
+      if (linksTo[slots.length + i]) {
+        this.checkPrimitiveConnection(
+          linksTo[slots.length + i],
+          inputName,
+          inputs
+        );
+        continue;
+      }
+      const { name, config } = this.getInputConfig(
+        node,
+        inputName,
+        seenInputs,
+        inputs[inputName],
+        {
+          defaultInput: true
+        }
+      );
+      this.nodeDef.input.required[name] = config;
+      this.newToOldWidgetMap[name] = { node, inputName };
+      if (!this.oldToNewWidgetMap[node.index]) {
+        this.oldToNewWidgetMap[node.index] = {};
+      }
+      this.oldToNewWidgetMap[node.index][inputName] = name;
+      inputMap[slots.length + i] = this.inputCount++;
+    }
+  }
+  #convertedToProcess = [];
+  processNodeInputs(node, seenInputs, inputs) {
+    const inputMapping = [];
+    const inputNames = Object.keys(inputs);
+    if (!inputNames.length) return;
+    const { converted, slots } = this.processWidgetInputs(
+      inputs,
+      node,
+      inputNames,
+      seenInputs
+    );
+    const linksTo = this.linksTo[node.index] ?? {};
+    const inputMap = this.oldToNewInputMap[node.index] = {};
+    this.processInputSlots(inputs, node, slots, linksTo, inputMap, seenInputs);
+    this.#convertedToProcess.push(
+      () => this.processConvertedWidgets(
+        inputs,
+        node,
+        slots,
+        converted,
+        linksTo,
+        inputMap,
+        seenInputs
+      )
+    );
+    return inputMapping;
+  }
+  processNodeOutputs(node, seenOutputs, def) {
+    const oldToNew = this.oldToNewOutputMap[node.index] = {};
+    for (let outputId = 0; outputId < def.output.length; outputId++) {
+      const linksFrom = this.linksFrom[node.index];
+      const hasLink = linksFrom?.[outputId] && !this.externalFrom[node.index]?.[outputId];
+      const customConfig = this.nodeData.config?.[node.index]?.output?.[outputId];
+      const visible = customConfig?.visible ?? !hasLink;
+      this.outputVisibility.push(visible);
+      if (!visible) {
+        continue;
+      }
+      oldToNew[outputId] = this.nodeDef.output.length;
+      this.newToOldOutputMap[this.nodeDef.output.length] = {
+        node,
+        slot: outputId
+      };
+      this.nodeDef.output.push(def.output[outputId]);
+      this.nodeDef.output_is_list.push(def.output_is_list[outputId]);
+      let label = customConfig?.name;
+      if (!label) {
+        label = def.output_name?.[outputId] ?? def.output[outputId];
+        const output = node.outputs.find((o) => o.name === label);
+        if (output?.label) {
+          label = output.label;
+        }
+      }
+      let name = label;
+      if (name in seenOutputs) {
+        const prefix = `${node.title ?? node.type} `;
+        name = `${prefix}${label}`;
+        if (name in seenOutputs) {
+          name = `${prefix}${node.index} ${label}`;
+        }
+      }
+      seenOutputs[name] = 1;
+      this.nodeDef.output_name.push(name);
+    }
+  }
+  static async registerFromWorkflow(groupNodes, missingNodeTypes) {
+    const clean = app.clean;
+    app.clean = function() {
+      for (const g in groupNodes) {
+        try {
+          LiteGraph.unregisterNodeType("workflow/" + g);
+        } catch (error) {
+        }
+      }
+      app.clean = clean;
+    };
+    for (const g in groupNodes) {
+      const groupData = groupNodes[g];
+      let hasMissing = false;
+      for (const n of groupData.nodes) {
+        if (!(n.type in LiteGraph.registered_node_types)) {
+          missingNodeTypes.push({
+            type: n.type,
+            hint: ` (In group node 'workflow/${g}')`
+          });
+          missingNodeTypes.push({
+            type: "workflow/" + g,
+            action: {
+              text: "Remove from workflow",
+              callback: /* @__PURE__ */ __name((e) => {
+                delete groupNodes[g];
+                e.target.textContent = "Removed";
+                e.target.style.pointerEvents = "none";
+                e.target.style.opacity = 0.7;
+              }, "callback")
+            }
+          });
+          hasMissing = true;
+        }
+      }
+      if (hasMissing) continue;
+      const config = new GroupNodeConfig(g, groupData);
+      await config.registerType();
+    }
+  }
+}
+class GroupNodeHandler {
+  static {
+    __name(this, "GroupNodeHandler");
+  }
+  node;
+  groupData;
+  innerNodes;
+  constructor(node) {
+    this.node = node;
+    this.groupData = node.constructor?.nodeData?.[GROUP];
+    this.node.setInnerNodes = (innerNodes) => {
+      this.innerNodes = innerNodes;
+      for (let innerNodeIndex = 0; innerNodeIndex < this.innerNodes.length; innerNodeIndex++) {
+        const innerNode = this.innerNodes[innerNodeIndex];
+        for (const w of innerNode.widgets ?? []) {
+          if (w.type === "converted-widget") {
+            w.serializeValue = w.origSerializeValue;
+          }
+        }
+        innerNode.index = innerNodeIndex;
+        innerNode.getInputNode = (slot) => {
+          const externalSlot = this.groupData.oldToNewInputMap[innerNode.index]?.[slot];
+          if (externalSlot != null) {
+            return this.node.getInputNode(externalSlot);
+          }
+          const innerLink = this.groupData.linksTo[innerNode.index]?.[slot];
+          if (!innerLink) return null;
+          const inputNode = innerNodes[innerLink[0]];
+          if (inputNode.type === "PrimitiveNode") return null;
+          return inputNode;
+        };
+        innerNode.getInputLink = (slot) => {
+          const externalSlot = this.groupData.oldToNewInputMap[innerNode.index]?.[slot];
+          if (externalSlot != null) {
+            const linkId = this.node.inputs[externalSlot].link;
+            let link2 = app.graph.links[linkId];
+            link2 = {
+              ...link2,
+              target_id: innerNode.id,
+              target_slot: +slot
+            };
+            return link2;
+          }
+          let link = this.groupData.linksTo[innerNode.index]?.[slot];
+          if (!link) return null;
+          link = {
+            origin_id: innerNodes[link[0]].id,
+            origin_slot: link[1],
+            target_id: innerNode.id,
+            target_slot: +slot
+          };
+          return link;
+        };
+      }
+    };
+    this.node.updateLink = (link) => {
+      link = { ...link };
+      const output = this.groupData.newToOldOutputMap[link.origin_slot];
+      let innerNode = this.innerNodes[output.node.index];
+      let l;
+      while (innerNode?.type === "Reroute") {
+        l = innerNode.getInputLink(0);
+        innerNode = innerNode.getInputNode(0);
+      }
+      if (!innerNode) {
+        return null;
+      }
+      if (l && GroupNodeHandler.isGroupNode(innerNode)) {
+        return innerNode.updateLink(l);
+      }
+      link.origin_id = innerNode.id;
+      link.origin_slot = l?.origin_slot ?? output.slot;
+      return link;
+    };
+    this.node.getInnerNodes = () => {
+      if (!this.innerNodes) {
+        this.node.setInnerNodes(
+          this.groupData.nodeData.nodes.map((n, i) => {
+            const innerNode = LiteGraph.createNode(n.type);
+            innerNode.configure(n);
+            innerNode.id = `${this.node.id}:${i}`;
+            return innerNode;
+          })
+        );
+      }
+      this.updateInnerWidgets();
+      return this.innerNodes;
+    };
+    this.node.recreate = async () => {
+      const id2 = this.node.id;
+      const sz = this.node.size;
+      const nodes = this.node.convertToNodes();
+      const groupNode = LiteGraph.createNode(this.node.type);
+      groupNode.id = id2;
+      groupNode.setInnerNodes(nodes);
+      groupNode[GROUP].populateWidgets();
+      app.graph.add(groupNode);
+      groupNode.size = [
+        Math.max(groupNode.size[0], sz[0]),
+        Math.max(groupNode.size[1], sz[1])
+      ];
+      groupNode[GROUP].replaceNodes(nodes);
+      return groupNode;
+    };
+    this.node.convertToNodes = () => {
+      const addInnerNodes = /* @__PURE__ */ __name(() => {
+        const backup = localStorage.getItem("litegrapheditor_clipboard");
+        const c = { ...this.groupData.nodeData };
+        c.nodes = [...c.nodes];
+        const innerNodes = this.node.getInnerNodes();
+        let ids = [];
+        for (let i = 0; i < c.nodes.length; i++) {
+          let id2 = innerNodes?.[i]?.id;
+          if (id2 == null || isNaN(id2)) {
+            id2 = void 0;
+          } else {
+            ids.push(id2);
+          }
+          c.nodes[i] = { ...c.nodes[i], id: id2 };
+        }
+        localStorage.setItem("litegrapheditor_clipboard", JSON.stringify(c));
+        app.canvas.pasteFromClipboard();
+        localStorage.setItem("litegrapheditor_clipboard", backup);
+        const [x, y] = this.node.pos;
+        let top;
+        let left;
+        const selectedIds2 = ids.length ? ids : Object.keys(app.canvas.selected_nodes);
+        const newNodes2 = [];
+        for (let i = 0; i < selectedIds2.length; i++) {
+          const id2 = selectedIds2[i];
+          const newNode = app.graph.getNodeById(id2);
+          const innerNode = innerNodes[i];
+          newNodes2.push(newNode);
+          if (left == null || newNode.pos[0] < left) {
+            left = newNode.pos[0];
+          }
+          if (top == null || newNode.pos[1] < top) {
+            top = newNode.pos[1];
+          }
+          if (!newNode.widgets) continue;
+          const map = this.groupData.oldToNewWidgetMap[innerNode.index];
+          if (map) {
+            const widgets = Object.keys(map);
+            for (const oldName of widgets) {
+              const newName = map[oldName];
+              if (!newName) continue;
+              const widgetIndex = this.node.widgets.findIndex(
+                (w) => w.name === newName
+              );
+              if (widgetIndex === -1) continue;
+              if (innerNode.type === "PrimitiveNode") {
+                for (let i2 = 0; i2 < newNode.widgets.length; i2++) {
+                  newNode.widgets[i2].value = this.node.widgets[widgetIndex + i2].value;
+                }
+              } else {
+                const outerWidget = this.node.widgets[widgetIndex];
+                const newWidget = newNode.widgets.find(
+                  (w) => w.name === oldName
+                );
+                if (!newWidget) continue;
+                newWidget.value = outerWidget.value;
+                for (let w = 0; w < outerWidget.linkedWidgets?.length; w++) {
+                  newWidget.linkedWidgets[w].value = outerWidget.linkedWidgets[w].value;
+                }
+              }
+            }
+          }
+        }
+        for (const newNode of newNodes2) {
+          newNode.pos = [
+            newNode.pos[0] - (left - x),
+            newNode.pos[1] - (top - y)
+          ];
+        }
+        return { newNodes: newNodes2, selectedIds: selectedIds2 };
+      }, "addInnerNodes");
+      const reconnectInputs = /* @__PURE__ */ __name((selectedIds2) => {
+        for (const innerNodeIndex in this.groupData.oldToNewInputMap) {
+          const id2 = selectedIds2[innerNodeIndex];
+          const newNode = app.graph.getNodeById(id2);
+          const map = this.groupData.oldToNewInputMap[innerNodeIndex];
+          for (const innerInputId in map) {
+            const groupSlotId = map[innerInputId];
+            if (groupSlotId == null) continue;
+            const slot = node.inputs[groupSlotId];
+            if (slot.link == null) continue;
+            const link = app.graph.links[slot.link];
+            if (!link) continue;
+            const originNode = app.graph.getNodeById(link.origin_id);
+            originNode.connect(link.origin_slot, newNode, +innerInputId);
+          }
+        }
+      }, "reconnectInputs");
+      const reconnectOutputs = /* @__PURE__ */ __name((selectedIds2) => {
+        for (let groupOutputId = 0; groupOutputId < node.outputs?.length; groupOutputId++) {
+          const output = node.outputs[groupOutputId];
+          if (!output.links) continue;
+          const links = [...output.links];
+          for (const l of links) {
+            const slot = this.groupData.newToOldOutputMap[groupOutputId];
+            const link = app.graph.links[l];
+            const targetNode = app.graph.getNodeById(link.target_id);
+            const newNode = app.graph.getNodeById(selectedIds2[slot.node.index]);
+            newNode.connect(slot.slot, targetNode, link.target_slot);
+          }
+        }
+      }, "reconnectOutputs");
+      const { newNodes, selectedIds } = addInnerNodes();
+      reconnectInputs(selectedIds);
+      reconnectOutputs(selectedIds);
+      app.graph.remove(this.node);
+      return newNodes;
+    };
+    const getExtraMenuOptions = this.node.getExtraMenuOptions;
+    this.node.getExtraMenuOptions = function(_, options) {
+      getExtraMenuOptions?.apply(this, arguments);
+      let optionIndex = options.findIndex((o) => o.content === "Outputs");
+      if (optionIndex === -1) optionIndex = options.length;
+      else optionIndex++;
+      options.splice(
+        optionIndex,
+        0,
+        null,
+        {
+          content: "Convert to nodes",
+          callback: /* @__PURE__ */ __name(() => {
+            return this.convertToNodes();
+          }, "callback")
+        },
+        {
+          content: "Manage Group Node",
+          callback: /* @__PURE__ */ __name(() => {
+            new ManageGroupDialog(app).show(this.type);
+          }, "callback")
+        }
+      );
+    };
+    const onDrawTitleBox = this.node.onDrawTitleBox;
+    this.node.onDrawTitleBox = function(ctx, height, size, scale) {
+      onDrawTitleBox?.apply(this, arguments);
+      const fill = ctx.fillStyle;
+      ctx.beginPath();
+      ctx.rect(11, -height + 11, 2, 2);
+      ctx.rect(14, -height + 11, 2, 2);
+      ctx.rect(17, -height + 11, 2, 2);
+      ctx.rect(11, -height + 14, 2, 2);
+      ctx.rect(14, -height + 14, 2, 2);
+      ctx.rect(17, -height + 14, 2, 2);
+      ctx.rect(11, -height + 17, 2, 2);
+      ctx.rect(14, -height + 17, 2, 2);
+      ctx.rect(17, -height + 17, 2, 2);
+      ctx.fillStyle = this.boxcolor || LiteGraph.NODE_DEFAULT_BOXCOLOR;
+      ctx.fill();
+      ctx.fillStyle = fill;
+    };
+    const onDrawForeground = node.onDrawForeground;
+    const groupData = this.groupData.nodeData;
+    node.onDrawForeground = function(ctx) {
+      const r = onDrawForeground?.apply?.(this, arguments);
+      if (+app.runningNodeId === this.id && this.runningInternalNodeId !== null) {
+        const n = groupData.nodes[this.runningInternalNodeId];
+        if (!n) return;
+        const message = `Running ${n.title || n.type} (${this.runningInternalNodeId}/${groupData.nodes.length})`;
+        ctx.save();
+        ctx.font = "12px sans-serif";
+        const sz = ctx.measureText(message);
+        ctx.fillStyle = node.boxcolor || LiteGraph.NODE_DEFAULT_BOXCOLOR;
+        ctx.beginPath();
+        ctx.roundRect(
+          0,
+          -LiteGraph.NODE_TITLE_HEIGHT - 20,
+          sz.width + 12,
+          20,
+          5
+        );
+        ctx.fill();
+        ctx.fillStyle = "#fff";
+        ctx.fillText(message, 6, -LiteGraph.NODE_TITLE_HEIGHT - 6);
+        ctx.restore();
+      }
+    };
+    const onExecutionStart = this.node.onExecutionStart;
+    this.node.onExecutionStart = function() {
+      this.resetExecution = true;
+      return onExecutionStart?.apply(this, arguments);
+    };
+    const self = this;
+    const onNodeCreated = this.node.onNodeCreated;
+    this.node.onNodeCreated = function() {
+      if (!this.widgets) {
+        return;
+      }
+      const config = self.groupData.nodeData.config;
+      if (config) {
+        for (const n in config) {
+          const inputs = config[n]?.input;
+          for (const w in inputs) {
+            if (inputs[w].visible !== false) continue;
+            const widgetName = self.groupData.oldToNewWidgetMap[n][w];
+            const widget = this.widgets.find((w2) => w2.name === widgetName);
+            if (widget) {
+              widget.type = "hidden";
+              widget.computeSize = () => [0, -4];
+            }
+          }
+        }
+      }
+      return onNodeCreated?.apply(this, arguments);
+    };
+    function handleEvent(type, getId, getEvent) {
+      const handler = /* @__PURE__ */ __name(({ detail }) => {
+        const id2 = getId(detail);
+        if (!id2) return;
+        const node2 = app.graph.getNodeById(id2);
+        if (node2) return;
+        const innerNodeIndex = this.innerNodes?.findIndex((n) => n.id == id2);
+        if (innerNodeIndex > -1) {
+          this.node.runningInternalNodeId = innerNodeIndex;
+          api.dispatchEvent(
+            new CustomEvent(type, {
+              detail: getEvent(detail, this.node.id + "", this.node)
+            })
+          );
+        }
+      }, "handler");
+      api.addEventListener(type, handler);
+      return handler;
+    }
+    __name(handleEvent, "handleEvent");
+    const executing = handleEvent.call(
+      this,
+      "executing",
+      (d) => d,
+      (d, id2, node2) => id2
+    );
+    const executed = handleEvent.call(
+      this,
+      "executed",
+      (d) => d?.display_node || d?.node,
+      (d, id2, node2) => ({
+        ...d,
+        node: id2,
+        display_node: id2,
+        merge: !node2.resetExecution
+      })
+    );
+    const onRemoved = node.onRemoved;
+    this.node.onRemoved = function() {
+      onRemoved?.apply(this, arguments);
+      api.removeEventListener("executing", executing);
+      api.removeEventListener("executed", executed);
+    };
+    this.node.refreshComboInNode = (defs) => {
+      for (const widgetName in this.groupData.newToOldWidgetMap) {
+        const widget = this.node.widgets.find((w) => w.name === widgetName);
+        if (widget?.type === "combo") {
+          const old = this.groupData.newToOldWidgetMap[widgetName];
+          const def = defs[old.node.type];
+          const input = def?.input?.required?.[old.inputName] ?? def?.input?.optional?.[old.inputName];
+          if (!input) continue;
+          widget.options.values = input[0];
+          if (old.inputName !== "image" && !widget.options.values.includes(widget.value)) {
+            widget.value = widget.options.values[0];
+            widget.callback(widget.value);
+          }
+        }
+      }
+    };
+  }
+  updateInnerWidgets() {
+    for (const newWidgetName in this.groupData.newToOldWidgetMap) {
+      const newWidget = this.node.widgets.find((w) => w.name === newWidgetName);
+      if (!newWidget) continue;
+      const newValue = newWidget.value;
+      const old = this.groupData.newToOldWidgetMap[newWidgetName];
+      let innerNode = this.innerNodes[old.node.index];
+      if (innerNode.type === "PrimitiveNode") {
+        innerNode.primitiveValue = newValue;
+        const primitiveLinked = this.groupData.primitiveToWidget[old.node.index];
+        for (const linked of primitiveLinked ?? []) {
+          const node = this.innerNodes[linked.nodeId];
+          const widget2 = node.widgets.find((w) => w.name === linked.inputName);
+          if (widget2) {
+            widget2.value = newValue;
+          }
+        }
+        continue;
+      } else if (innerNode.type === "Reroute") {
+        const rerouteLinks = this.groupData.linksFrom[old.node.index];
+        if (rerouteLinks) {
+          for (const [_, , targetNodeId, targetSlot] of rerouteLinks["0"]) {
+            const node = this.innerNodes[targetNodeId];
+            const input = node.inputs[targetSlot];
+            if (input.widget) {
+              const widget2 = node.widgets?.find(
+                (w) => w.name === input.widget.name
+              );
+              if (widget2) {
+                widget2.value = newValue;
+              }
+            }
+          }
+        }
+      }
+      const widget = innerNode.widgets?.find((w) => w.name === old.inputName);
+      if (widget) {
+        widget.value = newValue;
+      }
+    }
+  }
+  populatePrimitive(node, nodeId, oldName, i, linkedShift) {
+    const primitiveId = this.groupData.widgetToPrimitive[nodeId]?.[oldName];
+    if (primitiveId == null) return;
+    const targetWidgetName = this.groupData.oldToNewWidgetMap[primitiveId]["value"];
+    const targetWidgetIndex = this.node.widgets.findIndex(
+      (w) => w.name === targetWidgetName
+    );
+    if (targetWidgetIndex > -1) {
+      const primitiveNode = this.innerNodes[primitiveId];
+      let len = primitiveNode.widgets.length;
+      if (len - 1 !== this.node.widgets[targetWidgetIndex].linkedWidgets?.length) {
+        len = 1;
+      }
+      for (let i2 = 0; i2 < len; i2++) {
+        this.node.widgets[targetWidgetIndex + i2].value = primitiveNode.widgets[i2].value;
+      }
+    }
+    return true;
+  }
+  populateReroute(node, nodeId, map) {
+    if (node.type !== "Reroute") return;
+    const link = this.groupData.linksFrom[nodeId]?.[0]?.[0];
+    if (!link) return;
+    const [, , targetNodeId, targetNodeSlot] = link;
+    const targetNode = this.groupData.nodeData.nodes[targetNodeId];
+    const inputs = targetNode.inputs;
+    const targetWidget = inputs?.[targetNodeSlot]?.widget;
+    if (!targetWidget) return;
+    const offset = inputs.length - (targetNode.widgets_values?.length ?? 0);
+    const v = targetNode.widgets_values?.[targetNodeSlot - offset];
+    if (v == null) return;
+    const widgetName = Object.values(map)[0];
+    const widget = this.node.widgets.find((w) => w.name === widgetName);
+    if (widget) {
+      widget.value = v;
+    }
+  }
+  populateWidgets() {
+    if (!this.node.widgets) return;
+    for (let nodeId = 0; nodeId < this.groupData.nodeData.nodes.length; nodeId++) {
+      const node = this.groupData.nodeData.nodes[nodeId];
+      const map = this.groupData.oldToNewWidgetMap[nodeId] ?? {};
+      const widgets = Object.keys(map);
+      if (!node.widgets_values?.length) {
+        this.populateReroute(node, nodeId, map);
+        continue;
+      }
+      let linkedShift = 0;
+      for (let i = 0; i < widgets.length; i++) {
+        const oldName = widgets[i];
+        const newName = map[oldName];
+        const widgetIndex = this.node.widgets.findIndex(
+          (w) => w.name === newName
+        );
+        const mainWidget = this.node.widgets[widgetIndex];
+        if (this.populatePrimitive(node, nodeId, oldName, i, linkedShift) || widgetIndex === -1) {
+          const innerWidget = this.innerNodes[nodeId].widgets?.find(
+            (w) => w.name === oldName
+          );
+          linkedShift += innerWidget?.linkedWidgets?.length ?? 0;
+        }
+        if (widgetIndex === -1) {
+          continue;
+        }
+        mainWidget.value = node.widgets_values[i + linkedShift];
+        for (let w = 0; w < mainWidget.linkedWidgets?.length; w++) {
+          this.node.widgets[widgetIndex + w + 1].value = node.widgets_values[i + ++linkedShift];
+        }
+      }
+    }
+  }
+  replaceNodes(nodes) {
+    let top;
+    let left;
+    for (let i = 0; i < nodes.length; i++) {
+      const node = nodes[i];
+      if (left == null || node.pos[0] < left) {
+        left = node.pos[0];
+      }
+      if (top == null || node.pos[1] < top) {
+        top = node.pos[1];
+      }
+      this.linkOutputs(node, i);
+      app.graph.remove(node);
+    }
+    this.linkInputs();
+    this.node.pos = [left, top];
+  }
+  linkOutputs(originalNode, nodeId) {
+    if (!originalNode.outputs) return;
+    for (const output of originalNode.outputs) {
+      if (!output.links) continue;
+      const links = [...output.links];
+      for (const l of links) {
+        const link = app.graph.links[l];
+        if (!link) continue;
+        const targetNode = app.graph.getNodeById(link.target_id);
+        const newSlot = this.groupData.oldToNewOutputMap[nodeId]?.[link.origin_slot];
+        if (newSlot != null) {
+          this.node.connect(newSlot, targetNode, link.target_slot);
+        }
+      }
+    }
+  }
+  linkInputs() {
+    for (const link of this.groupData.nodeData.links ?? []) {
+      const [, originSlot, targetId, targetSlot, actualOriginId] = link;
+      const originNode = app.graph.getNodeById(actualOriginId);
+      if (!originNode) continue;
+      originNode.connect(
+        originSlot,
+        this.node.id,
+        this.groupData.oldToNewInputMap[targetId][targetSlot]
+      );
+    }
+  }
+  static getGroupData(node) {
+    return (node.nodeData ?? node.constructor?.nodeData)?.[GROUP];
+  }
+  static isGroupNode(node) {
+    return !!node.constructor?.nodeData?.[GROUP];
+  }
+  static async fromNodes(nodes) {
+    const builder = new GroupNodeBuilder(nodes);
+    const res = builder.build();
+    if (!res) return;
+    const { name, nodeData } = res;
+    const config = new GroupNodeConfig(name, nodeData);
+    await config.registerType();
+    const groupNode = LiteGraph.createNode(`workflow/${name}`);
+    groupNode.setInnerNodes(builder.nodes);
+    groupNode[GROUP].populateWidgets();
+    app.graph.add(groupNode);
+    groupNode[GROUP].replaceNodes(builder.nodes);
+    return groupNode;
+  }
+}
+function addConvertToGroupOptions() {
+  function addConvertOption(options, index) {
+    const selected = Object.values(app.canvas.selected_nodes ?? {});
+    const disabled = selected.length < 2 || selected.find((n) => GroupNodeHandler.isGroupNode(n));
+    options.splice(index + 1, null, {
+      content: `Convert to Group Node`,
+      disabled,
+      callback: /* @__PURE__ */ __name(async () => {
+        return await GroupNodeHandler.fromNodes(selected);
+      }, "callback")
+    });
+  }
+  __name(addConvertOption, "addConvertOption");
+  function addManageOption(options, index) {
+    const groups = app.graph.extra?.groupNodes;
+    const disabled = !groups || !Object.keys(groups).length;
+    options.splice(index + 1, null, {
+      content: `Manage Group Nodes`,
+      disabled,
+      callback: /* @__PURE__ */ __name(() => {
+        new ManageGroupDialog(app).show();
+      }, "callback")
+    });
+  }
+  __name(addManageOption, "addManageOption");
+  const getCanvasMenuOptions = LGraphCanvas.prototype.getCanvasMenuOptions;
+  LGraphCanvas.prototype.getCanvasMenuOptions = function() {
+    const options = getCanvasMenuOptions.apply(this, arguments);
+    const index = options.findIndex((o) => o?.content === "Add Group") + 1 || options.length;
+    addConvertOption(options, index);
+    addManageOption(options, index + 1);
+    return options;
+  };
+  const getNodeMenuOptions = LGraphCanvas.prototype.getNodeMenuOptions;
+  LGraphCanvas.prototype.getNodeMenuOptions = function(node) {
+    const options = getNodeMenuOptions.apply(this, arguments);
+    if (!GroupNodeHandler.isGroupNode(node)) {
+      const index = options.findIndex((o) => o?.content === "Outputs") + 1 || options.length - 1;
+      addConvertOption(options, index);
+    }
+    return options;
+  };
+}
+__name(addConvertToGroupOptions, "addConvertToGroupOptions");
+const id$3 = "Comfy.GroupNode";
+let globalDefs;
+const ext$1 = {
+  name: id$3,
+  setup() {
+    addConvertToGroupOptions();
+  },
+  async beforeConfigureGraph(graphData, missingNodeTypes) {
+    const nodes = graphData?.extra?.groupNodes;
+    if (nodes) {
+      await GroupNodeConfig.registerFromWorkflow(nodes, missingNodeTypes);
+    }
+  },
+  addCustomNodeDefs(defs) {
+    globalDefs = defs;
+  },
+  nodeCreated(node) {
+    if (GroupNodeHandler.isGroupNode(node)) {
+      node[GROUP] = new GroupNodeHandler(node);
+    }
+  },
+  async refreshComboInNodes(defs) {
+    Object.assign(globalDefs, defs);
+    const nodes = app.graph.extra?.groupNodes;
+    if (nodes) {
+      await GroupNodeConfig.registerFromWorkflow(nodes, {});
+    }
+  }
+};
+app.registerExtension(ext$1);
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.groupNode = window.comfyAPI.groupNode || {};
+window.comfyAPI.groupNode.GroupNodeConfig = GroupNodeConfig;
+window.comfyAPI.groupNode.GroupNodeHandler = GroupNodeHandler;
+function setNodeMode(node, mode) {
+  node.mode = mode;
+  node.graph.change();
+}
+__name(setNodeMode, "setNodeMode");
+function addNodesToGroup(group, nodes = []) {
+  var x1, y1, x2, y2;
+  var nx1, ny1, nx2, ny2;
+  var node;
+  x1 = y1 = x2 = y2 = -1;
+  nx1 = ny1 = nx2 = ny2 = -1;
+  for (var n of [group._nodes, nodes]) {
+    for (var i in n) {
+      node = n[i];
+      nx1 = node.pos[0];
+      ny1 = node.pos[1];
+      nx2 = node.pos[0] + node.size[0];
+      ny2 = node.pos[1] + node.size[1];
+      if (node.type != "Reroute") {
+        ny1 -= LiteGraph.NODE_TITLE_HEIGHT;
+      }
+      if (node.flags?.collapsed) {
+        ny2 = ny1 + LiteGraph.NODE_TITLE_HEIGHT;
+        if (node?._collapsed_width) {
+          nx2 = nx1 + Math.round(node._collapsed_width);
+        }
+      }
+      if (x1 == -1 || nx1 < x1) {
+        x1 = nx1;
+      }
+      if (y1 == -1 || ny1 < y1) {
+        y1 = ny1;
+      }
+      if (x2 == -1 || nx2 > x2) {
+        x2 = nx2;
+      }
+      if (y2 == -1 || ny2 > y2) {
+        y2 = ny2;
+      }
+    }
+  }
+  var padding = 10;
+  y1 = y1 - Math.round(group.font_size * 1.4);
+  group.pos = [x1 - padding, y1 - padding];
+  group.size = [x2 - x1 + padding * 2, y2 - y1 + padding * 2];
+}
+__name(addNodesToGroup, "addNodesToGroup");
+app.registerExtension({
+  name: "Comfy.GroupOptions",
+  setup() {
+    const orig = LGraphCanvas.prototype.getCanvasMenuOptions;
+    LGraphCanvas.prototype.getCanvasMenuOptions = function() {
+      const options = orig.apply(this, arguments);
+      const group = this.graph.getGroupOnPos(
+        this.graph_mouse[0],
+        this.graph_mouse[1]
+      );
+      if (!group) {
+        options.push({
+          content: "Add Group For Selected Nodes",
+          disabled: !Object.keys(app.canvas.selected_nodes || {}).length,
+          callback: /* @__PURE__ */ __name(() => {
+            var group2 = new LiteGraph.LGraphGroup();
+            addNodesToGroup(group2, this.selected_nodes);
+            app.canvas.graph.add(group2);
+            this.graph.change();
+          }, "callback")
+        });
+        return options;
+      }
+      group.recomputeInsideNodes();
+      const nodesInGroup = group._nodes;
+      options.push({
+        content: "Add Selected Nodes To Group",
+        disabled: !Object.keys(app.canvas.selected_nodes || {}).length,
+        callback: /* @__PURE__ */ __name(() => {
+          addNodesToGroup(group, this.selected_nodes);
+          this.graph.change();
+        }, "callback")
+      });
+      if (nodesInGroup.length === 0) {
+        return options;
+      } else {
+        options.push(null);
+      }
+      let allNodesAreSameMode = true;
+      for (let i = 1; i < nodesInGroup.length; i++) {
+        if (nodesInGroup[i].mode !== nodesInGroup[0].mode) {
+          allNodesAreSameMode = false;
+          break;
+        }
+      }
+      options.push({
+        content: "Fit Group To Nodes",
+        callback: /* @__PURE__ */ __name(() => {
+          addNodesToGroup(group);
+          this.graph.change();
+        }, "callback")
+      });
+      options.push({
+        content: "Select Nodes",
+        callback: /* @__PURE__ */ __name(() => {
+          this.selectNodes(nodesInGroup);
+          this.graph.change();
+          this.canvas.focus();
+        }, "callback")
+      });
+      if (allNodesAreSameMode) {
+        const mode = nodesInGroup[0].mode;
+        switch (mode) {
+          case 0:
+            options.push({
+              content: "Set Group Nodes to Never",
+              callback: /* @__PURE__ */ __name(() => {
+                for (const node of nodesInGroup) {
+                  setNodeMode(node, 2);
+                }
+              }, "callback")
+            });
+            options.push({
+              content: "Bypass Group Nodes",
+              callback: /* @__PURE__ */ __name(() => {
+                for (const node of nodesInGroup) {
+                  setNodeMode(node, 4);
+                }
+              }, "callback")
+            });
+            break;
+          case 2:
+            options.push({
+              content: "Set Group Nodes to Always",
+              callback: /* @__PURE__ */ __name(() => {
+                for (const node of nodesInGroup) {
+                  setNodeMode(node, 0);
+                }
+              }, "callback")
+            });
+            options.push({
+              content: "Bypass Group Nodes",
+              callback: /* @__PURE__ */ __name(() => {
+                for (const node of nodesInGroup) {
+                  setNodeMode(node, 4);
+                }
+              }, "callback")
+            });
+            break;
+          case 4:
+            options.push({
+              content: "Set Group Nodes to Always",
+              callback: /* @__PURE__ */ __name(() => {
+                for (const node of nodesInGroup) {
+                  setNodeMode(node, 0);
+                }
+              }, "callback")
+            });
+            options.push({
+              content: "Set Group Nodes to Never",
+              callback: /* @__PURE__ */ __name(() => {
+                for (const node of nodesInGroup) {
+                  setNodeMode(node, 2);
+                }
+              }, "callback")
+            });
+            break;
+          default:
+            options.push({
+              content: "Set Group Nodes to Always",
+              callback: /* @__PURE__ */ __name(() => {
+                for (const node of nodesInGroup) {
+                  setNodeMode(node, 0);
+                }
+              }, "callback")
+            });
+            options.push({
+              content: "Set Group Nodes to Never",
+              callback: /* @__PURE__ */ __name(() => {
+                for (const node of nodesInGroup) {
+                  setNodeMode(node, 2);
+                }
+              }, "callback")
+            });
+            options.push({
+              content: "Bypass Group Nodes",
+              callback: /* @__PURE__ */ __name(() => {
+                for (const node of nodesInGroup) {
+                  setNodeMode(node, 4);
+                }
+              }, "callback")
+            });
+            break;
+        }
+      } else {
+        options.push({
+          content: "Set Group Nodes to Always",
+          callback: /* @__PURE__ */ __name(() => {
+            for (const node of nodesInGroup) {
+              setNodeMode(node, 0);
+            }
+          }, "callback")
+        });
+        options.push({
+          content: "Set Group Nodes to Never",
+          callback: /* @__PURE__ */ __name(() => {
+            for (const node of nodesInGroup) {
+              setNodeMode(node, 2);
+            }
+          }, "callback")
+        });
+        options.push({
+          content: "Bypass Group Nodes",
+          callback: /* @__PURE__ */ __name(() => {
+            for (const node of nodesInGroup) {
+              setNodeMode(node, 4);
+            }
+          }, "callback")
+        });
+      }
+      return options;
+    };
+  }
+});
+const id$2 = "Comfy.InvertMenuScrolling";
+app.registerExtension({
+  name: id$2,
+  init() {
+    const ctxMenu = LiteGraph.ContextMenu;
+    const replace = /* @__PURE__ */ __name(() => {
+      LiteGraph.ContextMenu = function(values, options) {
+        options = options || {};
+        if (options.scroll_speed) {
+          options.scroll_speed *= -1;
+        } else {
+          options.scroll_speed = -0.1;
+        }
+        return ctxMenu.call(this, values, options);
+      };
+      LiteGraph.ContextMenu.prototype = ctxMenu.prototype;
+    }, "replace");
+    app.ui.settings.addSetting({
+      id: id$2,
+      category: ["Comfy", "Graph", "InvertMenuScrolling"],
+      name: "Invert Context Menu Scrolling",
+      type: "boolean",
+      defaultValue: false,
+      onChange(value) {
+        if (value) {
+          replace();
+        } else {
+          LiteGraph.ContextMenu = ctxMenu;
+        }
+      }
+    });
+  }
+});
+app.registerExtension({
+  name: "Comfy.Keybinds",
+  init() {
+    const keybindListener = /* @__PURE__ */ __name(async function(event) {
+      const modifierPressed = event.ctrlKey || event.metaKey;
+      if (modifierPressed && event.key === "Enter") {
+        if (event.altKey) {
+          await api.interrupt();
+          useToastStore().add({
+            severity: "info",
+            summary: "Interrupted",
+            detail: "Execution has been interrupted",
+            life: 1e3
+          });
+          return;
+        }
+        app.queuePrompt(event.shiftKey ? -1 : 0).then();
+        return;
+      }
+      const target = event.composedPath()[0];
+      if (target.tagName === "TEXTAREA" || target.tagName === "INPUT" || target.tagName === "SPAN" && target.classList.contains("property_value")) {
+        return;
+      }
+      const modifierKeyIdMap = {
+        s: "#comfy-save-button",
+        o: "#comfy-file-input",
+        Backspace: "#comfy-clear-button",
+        d: "#comfy-load-default-button",
+        g: "#comfy-group-selected-nodes-button"
+      };
+      const modifierKeybindId = modifierKeyIdMap[event.key];
+      if (modifierPressed && modifierKeybindId) {
+        event.preventDefault();
+        const elem = document.querySelector(modifierKeybindId);
+        elem.click();
+        return;
+      }
+      if (event.ctrlKey || event.altKey || event.metaKey) {
+        return;
+      }
+      if (event.key === "Escape") {
+        const modals = document.querySelectorAll(".comfy-modal");
+        const modal = Array.from(modals).find(
+          (modal2) => window.getComputedStyle(modal2).getPropertyValue("display") !== "none"
+        );
+        if (modal) {
+          modal.style.display = "none";
+        }
+        ;
+        [...document.querySelectorAll("dialog")].forEach((d) => {
+          d.close();
+        });
+      }
+      const keyIdMap = {
+        q: ".queue-tab-button.side-bar-button",
+        h: ".queue-tab-button.side-bar-button",
+        r: "#comfy-refresh-button"
+      };
+      const buttonId = keyIdMap[event.key];
+      if (buttonId) {
+        const button = document.querySelector(buttonId);
+        button.click();
+      }
+    }, "keybindListener");
+    window.addEventListener("keydown", keybindListener, true);
+  }
+});
+const id$1 = "Comfy.LinkRenderMode";
+const ext = {
+  name: id$1,
+  async setup(app2) {
+    app2.ui.settings.addSetting({
+      id: id$1,
+      category: ["Comfy", "Graph", "LinkRenderMode"],
+      name: "Link Render Mode",
+      defaultValue: 2,
+      type: "combo",
+      // @ts-expect-error
+      options: [...LiteGraph.LINK_RENDER_MODES, "Hidden"].map((m, i) => ({
+        value: i,
+        text: m,
+        selected: i == app2.canvas.links_render_mode
+      })),
+      onChange(value) {
+        app2.canvas.links_render_mode = +value;
+        app2.graph.setDirtyCanvas(true);
+      }
+    });
+  }
+};
+app.registerExtension(ext);
+function dataURLToBlob(dataURL) {
+  const parts = dataURL.split(";base64,");
+  const contentType = parts[0].split(":")[1];
+  const byteString = atob(parts[1]);
+  const arrayBuffer = new ArrayBuffer(byteString.length);
+  const uint8Array = new Uint8Array(arrayBuffer);
+  for (let i = 0; i < byteString.length; i++) {
+    uint8Array[i] = byteString.charCodeAt(i);
+  }
+  return new Blob([arrayBuffer], { type: contentType });
+}
+__name(dataURLToBlob, "dataURLToBlob");
+function loadedImageToBlob(image) {
+  const canvas = document.createElement("canvas");
+  canvas.width = image.width;
+  canvas.height = image.height;
+  const ctx = canvas.getContext("2d");
+  ctx.drawImage(image, 0, 0);
+  const dataURL = canvas.toDataURL("image/png", 1);
+  const blob = dataURLToBlob(dataURL);
+  return blob;
+}
+__name(loadedImageToBlob, "loadedImageToBlob");
+function loadImage(imagePath) {
+  return new Promise((resolve, reject) => {
+    const image = new Image();
+    image.onload = function() {
+      resolve(image);
+    };
+    image.src = imagePath;
+  });
+}
+__name(loadImage, "loadImage");
+async function uploadMask(filepath, formData) {
+  await api.fetchApi("/upload/mask", {
+    method: "POST",
+    body: formData
+  }).then((response) => {
+  }).catch((error) => {
+    console.error("Error:", error);
+  });
+  ComfyApp.clipspace.imgs[ComfyApp.clipspace["selectedIndex"]] = new Image();
+  ComfyApp.clipspace.imgs[ComfyApp.clipspace["selectedIndex"]].src = api.apiURL(
+    "/view?" + new URLSearchParams(filepath).toString() + app.getPreviewFormatParam() + app.getRandParam()
+  );
+  if (ComfyApp.clipspace.images)
+    ComfyApp.clipspace.images[ComfyApp.clipspace["selectedIndex"]] = filepath;
+  ClipspaceDialog.invalidatePreview();
+}
+__name(uploadMask, "uploadMask");
+function prepare_mask(image, maskCanvas, maskCtx, maskColor) {
+  maskCtx.drawImage(image, 0, 0, maskCanvas.width, maskCanvas.height);
+  const maskData = maskCtx.getImageData(
+    0,
+    0,
+    maskCanvas.width,
+    maskCanvas.height
+  );
+  for (let i = 0; i < maskData.data.length; i += 4) {
+    if (maskData.data[i + 3] == 255) maskData.data[i + 3] = 0;
+    else maskData.data[i + 3] = 255;
+    maskData.data[i] = maskColor.r;
+    maskData.data[i + 1] = maskColor.g;
+    maskData.data[i + 2] = maskColor.b;
+  }
+  maskCtx.globalCompositeOperation = "source-over";
+  maskCtx.putImageData(maskData, 0, 0);
+}
+__name(prepare_mask, "prepare_mask");
+class MaskEditorDialog extends ComfyDialog {
+  static {
+    __name(this, "MaskEditorDialog");
+  }
+  static instance = null;
+  static mousedown_x = null;
+  static mousedown_y = null;
+  brush;
+  maskCtx;
+  maskCanvas;
+  brush_size_slider;
+  brush_opacity_slider;
+  colorButton;
+  saveButton;
+  zoom_ratio;
+  pan_x;
+  pan_y;
+  imgCanvas;
+  last_display_style;
+  is_visible;
+  image;
+  handler_registered;
+  brush_slider_input;
+  cursorX;
+  cursorY;
+  mousedown_pan_x;
+  mousedown_pan_y;
+  last_pressure;
+  static getInstance() {
+    if (!MaskEditorDialog.instance) {
+      MaskEditorDialog.instance = new MaskEditorDialog();
+    }
+    return MaskEditorDialog.instance;
+  }
+  is_layout_created = false;
+  constructor() {
+    super();
+    this.element = $el("div.comfy-modal", { parent: document.body }, [
+      $el("div.comfy-modal-content", [...this.createButtons()])
+    ]);
+  }
+  createButtons() {
+    return [];
+  }
+  createButton(name, callback) {
+    var button = document.createElement("button");
+    button.style.pointerEvents = "auto";
+    button.innerText = name;
+    button.addEventListener("click", callback);
+    return button;
+  }
+  createLeftButton(name, callback) {
+    var button = this.createButton(name, callback);
+    button.style.cssFloat = "left";
+    button.style.marginRight = "4px";
+    return button;
+  }
+  createRightButton(name, callback) {
+    var button = this.createButton(name, callback);
+    button.style.cssFloat = "right";
+    button.style.marginLeft = "4px";
+    return button;
+  }
+  createLeftSlider(self, name, callback) {
+    const divElement = document.createElement("div");
+    divElement.id = "maskeditor-slider";
+    divElement.style.cssFloat = "left";
+    divElement.style.fontFamily = "sans-serif";
+    divElement.style.marginRight = "4px";
+    divElement.style.color = "var(--input-text)";
+    divElement.style.backgroundColor = "var(--comfy-input-bg)";
+    divElement.style.borderRadius = "8px";
+    divElement.style.borderColor = "var(--border-color)";
+    divElement.style.borderStyle = "solid";
+    divElement.style.fontSize = "15px";
+    divElement.style.height = "21px";
+    divElement.style.padding = "1px 6px";
+    divElement.style.display = "flex";
+    divElement.style.position = "relative";
+    divElement.style.top = "2px";
+    divElement.style.pointerEvents = "auto";
+    self.brush_slider_input = document.createElement("input");
+    self.brush_slider_input.setAttribute("type", "range");
+    self.brush_slider_input.setAttribute("min", "1");
+    self.brush_slider_input.setAttribute("max", "100");
+    self.brush_slider_input.setAttribute("value", "10");
+    const labelElement = document.createElement("label");
+    labelElement.textContent = name;
+    divElement.appendChild(labelElement);
+    divElement.appendChild(self.brush_slider_input);
+    self.brush_slider_input.addEventListener("change", callback);
+    return divElement;
+  }
+  createOpacitySlider(self, name, callback) {
+    const divElement = document.createElement("div");
+    divElement.id = "maskeditor-opacity-slider";
+    divElement.style.cssFloat = "left";
+    divElement.style.fontFamily = "sans-serif";
+    divElement.style.marginRight = "4px";
+    divElement.style.color = "var(--input-text)";
+    divElement.style.backgroundColor = "var(--comfy-input-bg)";
+    divElement.style.borderRadius = "8px";
+    divElement.style.borderColor = "var(--border-color)";
+    divElement.style.borderStyle = "solid";
+    divElement.style.fontSize = "15px";
+    divElement.style.height = "21px";
+    divElement.style.padding = "1px 6px";
+    divElement.style.display = "flex";
+    divElement.style.position = "relative";
+    divElement.style.top = "2px";
+    divElement.style.pointerEvents = "auto";
+    self.opacity_slider_input = document.createElement("input");
+    self.opacity_slider_input.setAttribute("type", "range");
+    self.opacity_slider_input.setAttribute("min", "0.1");
+    self.opacity_slider_input.setAttribute("max", "1.0");
+    self.opacity_slider_input.setAttribute("step", "0.01");
+    self.opacity_slider_input.setAttribute("value", "0.7");
+    const labelElement = document.createElement("label");
+    labelElement.textContent = name;
+    divElement.appendChild(labelElement);
+    divElement.appendChild(self.opacity_slider_input);
+    self.opacity_slider_input.addEventListener("input", callback);
+    return divElement;
+  }
+  setlayout(imgCanvas, maskCanvas) {
+    const self = this;
+    var bottom_panel = document.createElement("div");
+    bottom_panel.style.position = "absolute";
+    bottom_panel.style.bottom = "0px";
+    bottom_panel.style.left = "20px";
+    bottom_panel.style.right = "20px";
+    bottom_panel.style.height = "50px";
+    bottom_panel.style.pointerEvents = "none";
+    var brush = document.createElement("div");
+    brush.id = "brush";
+    brush.style.backgroundColor = "transparent";
+    brush.style.outline = "1px dashed black";
+    brush.style.boxShadow = "0 0 0 1px white";
+    brush.style.borderRadius = "50%";
+    brush.style.MozBorderRadius = "50%";
+    brush.style.WebkitBorderRadius = "50%";
+    brush.style.position = "absolute";
+    brush.style.zIndex = "8889";
+    brush.style.pointerEvents = "none";
+    this.brush = brush;
+    this.element.appendChild(imgCanvas);
+    this.element.appendChild(maskCanvas);
+    this.element.appendChild(bottom_panel);
+    document.body.appendChild(brush);
+    var clearButton = this.createLeftButton("Clear", () => {
+      self.maskCtx.clearRect(
+        0,
+        0,
+        self.maskCanvas.width,
+        self.maskCanvas.height
+      );
+    });
+    this.brush_size_slider = this.createLeftSlider(
+      self,
+      "Thickness",
+      (event) => {
+        self.brush_size = event.target.value;
+        self.updateBrushPreview(self);
+      }
+    );
+    this.brush_opacity_slider = this.createOpacitySlider(
+      self,
+      "Opacity",
+      (event) => {
+        self.brush_opacity = event.target.value;
+        if (self.brush_color_mode !== "negative") {
+          self.maskCanvas.style.opacity = self.brush_opacity.toString();
+        }
+      }
+    );
+    this.colorButton = this.createLeftButton(this.getColorButtonText(), () => {
+      if (self.brush_color_mode === "black") {
+        self.brush_color_mode = "white";
+      } else if (self.brush_color_mode === "white") {
+        self.brush_color_mode = "negative";
+      } else {
+        self.brush_color_mode = "black";
+      }
+      self.updateWhenBrushColorModeChanged();
+    });
+    var cancelButton = this.createRightButton("Cancel", () => {
+      document.removeEventListener("keydown", MaskEditorDialog.handleKeyDown);
+      self.close();
+    });
+    this.saveButton = this.createRightButton("Save", () => {
+      document.removeEventListener("keydown", MaskEditorDialog.handleKeyDown);
+      self.save();
+    });
+    this.element.appendChild(imgCanvas);
+    this.element.appendChild(maskCanvas);
+    this.element.appendChild(bottom_panel);
+    bottom_panel.appendChild(clearButton);
+    bottom_panel.appendChild(this.saveButton);
+    bottom_panel.appendChild(cancelButton);
+    bottom_panel.appendChild(this.brush_size_slider);
+    bottom_panel.appendChild(this.brush_opacity_slider);
+    bottom_panel.appendChild(this.colorButton);
+    imgCanvas.style.position = "absolute";
+    maskCanvas.style.position = "absolute";
+    imgCanvas.style.top = "200";
+    imgCanvas.style.left = "0";
+    maskCanvas.style.top = imgCanvas.style.top;
+    maskCanvas.style.left = imgCanvas.style.left;
+    const maskCanvasStyle = this.getMaskCanvasStyle();
+    maskCanvas.style.mixBlendMode = maskCanvasStyle.mixBlendMode;
+    maskCanvas.style.opacity = maskCanvasStyle.opacity.toString();
+  }
+  async show() {
+    this.zoom_ratio = 1;
+    this.pan_x = 0;
+    this.pan_y = 0;
+    if (!this.is_layout_created) {
+      const imgCanvas = document.createElement("canvas");
+      const maskCanvas = document.createElement("canvas");
+      imgCanvas.id = "imageCanvas";
+      maskCanvas.id = "maskCanvas";
+      this.setlayout(imgCanvas, maskCanvas);
+      this.imgCanvas = imgCanvas;
+      this.maskCanvas = maskCanvas;
+      this.maskCtx = maskCanvas.getContext("2d", { willReadFrequently: true });
+      this.setEventHandler(maskCanvas);
+      this.is_layout_created = true;
+      const self = this;
+      const observer = new MutationObserver(function(mutations) {
+        mutations.forEach(function(mutation) {
+          if (mutation.type === "attributes" && mutation.attributeName === "style") {
+            if (self.last_display_style && self.last_display_style != "none" && self.element.style.display == "none") {
+              self.brush.style.display = "none";
+              ComfyApp.onClipspaceEditorClosed();
+            }
+            self.last_display_style = self.element.style.display;
+          }
+        });
+      });
+      const config = { attributes: true };
+      observer.observe(this.element, config);
+    }
+    document.addEventListener("keydown", MaskEditorDialog.handleKeyDown);
+    if (ComfyApp.clipspace_return_node) {
+      this.saveButton.innerText = "Save to node";
+    } else {
+      this.saveButton.innerText = "Save";
+    }
+    this.saveButton.disabled = false;
+    this.element.style.display = "block";
+    this.element.style.width = "85%";
+    this.element.style.margin = "0 7.5%";
+    this.element.style.height = "100vh";
+    this.element.style.top = "50%";
+    this.element.style.left = "42%";
+    this.element.style.zIndex = "8888";
+    await this.setImages(this.imgCanvas);
+    this.is_visible = true;
+  }
+  isOpened() {
+    return this.element.style.display == "block";
+  }
+  invalidateCanvas(orig_image, mask_image) {
+    this.imgCanvas.width = orig_image.width;
+    this.imgCanvas.height = orig_image.height;
+    this.maskCanvas.width = orig_image.width;
+    this.maskCanvas.height = orig_image.height;
+    let imgCtx = this.imgCanvas.getContext("2d", { willReadFrequently: true });
+    let maskCtx = this.maskCanvas.getContext("2d", {
+      willReadFrequently: true
+    });
+    imgCtx.drawImage(orig_image, 0, 0, orig_image.width, orig_image.height);
+    prepare_mask(mask_image, this.maskCanvas, maskCtx, this.getMaskColor());
+  }
+  async setImages(imgCanvas) {
+    let self = this;
+    const imgCtx = imgCanvas.getContext("2d", { willReadFrequently: true });
+    const maskCtx = this.maskCtx;
+    const maskCanvas = this.maskCanvas;
+    imgCtx.clearRect(0, 0, this.imgCanvas.width, this.imgCanvas.height);
+    maskCtx.clearRect(0, 0, this.maskCanvas.width, this.maskCanvas.height);
+    const filepath = ComfyApp.clipspace.images;
+    const alpha_url = new URL(
+      ComfyApp.clipspace.imgs[ComfyApp.clipspace["selectedIndex"]].src
+    );
+    alpha_url.searchParams.delete("channel");
+    alpha_url.searchParams.delete("preview");
+    alpha_url.searchParams.set("channel", "a");
+    let mask_image = await loadImage(alpha_url);
+    const rgb_url = new URL(
+      ComfyApp.clipspace.imgs[ComfyApp.clipspace["selectedIndex"]].src
+    );
+    rgb_url.searchParams.delete("channel");
+    rgb_url.searchParams.set("channel", "rgb");
+    this.image = new Image();
+    this.image.onload = function() {
+      maskCanvas.width = self.image.width;
+      maskCanvas.height = self.image.height;
+      self.invalidateCanvas(self.image, mask_image);
+      self.initializeCanvasPanZoom();
+    };
+    this.image.src = rgb_url.toString();
+  }
+  initializeCanvasPanZoom() {
+    let drawWidth = this.image.width;
+    let drawHeight = this.image.height;
+    let width = this.element.clientWidth;
+    let height = this.element.clientHeight;
+    if (this.image.width > width) {
+      drawWidth = width;
+      drawHeight = drawWidth / this.image.width * this.image.height;
+    }
+    if (drawHeight > height) {
+      drawHeight = height;
+      drawWidth = drawHeight / this.image.height * this.image.width;
+    }
+    this.zoom_ratio = drawWidth / this.image.width;
+    const canvasX = (width - drawWidth) / 2;
+    const canvasY = (height - drawHeight) / 2;
+    this.pan_x = canvasX;
+    this.pan_y = canvasY;
+    this.invalidatePanZoom();
+  }
+  invalidatePanZoom() {
+    let raw_width = this.image.width * this.zoom_ratio;
+    let raw_height = this.image.height * this.zoom_ratio;
+    if (this.pan_x + raw_width < 10) {
+      this.pan_x = 10 - raw_width;
+    }
+    if (this.pan_y + raw_height < 10) {
+      this.pan_y = 10 - raw_height;
+    }
+    let width = `${raw_width}px`;
+    let height = `${raw_height}px`;
+    let left = `${this.pan_x}px`;
+    let top = `${this.pan_y}px`;
+    this.maskCanvas.style.width = width;
+    this.maskCanvas.style.height = height;
+    this.maskCanvas.style.left = left;
+    this.maskCanvas.style.top = top;
+    this.imgCanvas.style.width = width;
+    this.imgCanvas.style.height = height;
+    this.imgCanvas.style.left = left;
+    this.imgCanvas.style.top = top;
+  }
+  setEventHandler(maskCanvas) {
+    const self = this;
+    if (!this.handler_registered) {
+      maskCanvas.addEventListener("contextmenu", (event) => {
+        event.preventDefault();
+      });
+      this.element.addEventListener(
+        "wheel",
+        (event) => this.handleWheelEvent(self, event)
+      );
+      this.element.addEventListener(
+        "pointermove",
+        (event) => this.pointMoveEvent(self, event)
+      );
+      this.element.addEventListener(
+        "touchmove",
+        (event) => this.pointMoveEvent(self, event)
+      );
+      this.element.addEventListener("dragstart", (event) => {
+        if (event.ctrlKey) {
+          event.preventDefault();
+        }
+      });
+      maskCanvas.addEventListener(
+        "pointerdown",
+        (event) => this.handlePointerDown(self, event)
+      );
+      maskCanvas.addEventListener(
+        "pointermove",
+        (event) => this.draw_move(self, event)
+      );
+      maskCanvas.addEventListener(
+        "touchmove",
+        (event) => this.draw_move(self, event)
+      );
+      maskCanvas.addEventListener("pointerover", (event) => {
+        this.brush.style.display = "block";
+      });
+      maskCanvas.addEventListener("pointerleave", (event) => {
+        this.brush.style.display = "none";
+      });
+      document.addEventListener("pointerup", MaskEditorDialog.handlePointerUp);
+      this.handler_registered = true;
+    }
+  }
+  getMaskCanvasStyle() {
+    if (this.brush_color_mode === "negative") {
+      return {
+        mixBlendMode: "difference",
+        opacity: "1"
+      };
+    } else {
+      return {
+        mixBlendMode: "initial",
+        opacity: this.brush_opacity
+      };
+    }
+  }
+  getMaskColor() {
+    if (this.brush_color_mode === "black") {
+      return { r: 0, g: 0, b: 0 };
+    }
+    if (this.brush_color_mode === "white") {
+      return { r: 255, g: 255, b: 255 };
+    }
+    if (this.brush_color_mode === "negative") {
+      return { r: 255, g: 255, b: 255 };
+    }
+    return { r: 0, g: 0, b: 0 };
+  }
+  getMaskFillStyle() {
+    const maskColor = this.getMaskColor();
+    return "rgb(" + maskColor.r + "," + maskColor.g + "," + maskColor.b + ")";
+  }
+  getColorButtonText() {
+    let colorCaption = "unknown";
+    if (this.brush_color_mode === "black") {
+      colorCaption = "black";
+    } else if (this.brush_color_mode === "white") {
+      colorCaption = "white";
+    } else if (this.brush_color_mode === "negative") {
+      colorCaption = "negative";
+    }
+    return "Color: " + colorCaption;
+  }
+  updateWhenBrushColorModeChanged() {
+    this.colorButton.innerText = this.getColorButtonText();
+    const maskCanvasStyle = this.getMaskCanvasStyle();
+    this.maskCanvas.style.mixBlendMode = maskCanvasStyle.mixBlendMode;
+    this.maskCanvas.style.opacity = maskCanvasStyle.opacity.toString();
+    const maskColor = this.getMaskColor();
+    const maskData = this.maskCtx.getImageData(
+      0,
+      0,
+      this.maskCanvas.width,
+      this.maskCanvas.height
+    );
+    for (let i = 0; i < maskData.data.length; i += 4) {
+      maskData.data[i] = maskColor.r;
+      maskData.data[i + 1] = maskColor.g;
+      maskData.data[i + 2] = maskColor.b;
+    }
+    this.maskCtx.putImageData(maskData, 0, 0);
+  }
+  brush_opacity = 0.7;
+  brush_size = 10;
+  brush_color_mode = "black";
+  drawing_mode = false;
+  lastx = -1;
+  lasty = -1;
+  lasttime = 0;
+  static handleKeyDown(event) {
+    const self = MaskEditorDialog.instance;
+    if (event.key === "]") {
+      self.brush_size = Math.min(self.brush_size + 2, 100);
+      self.brush_slider_input.value = self.brush_size;
+    } else if (event.key === "[") {
+      self.brush_size = Math.max(self.brush_size - 2, 1);
+      self.brush_slider_input.value = self.brush_size;
+    } else if (event.key === "Enter") {
+      self.save();
+    }
+    self.updateBrushPreview(self);
+  }
+  static handlePointerUp(event) {
+    event.preventDefault();
+    this.mousedown_x = null;
+    this.mousedown_y = null;
+    MaskEditorDialog.instance.drawing_mode = false;
+  }
+  updateBrushPreview(self) {
+    const brush = self.brush;
+    var centerX = self.cursorX;
+    var centerY = self.cursorY;
+    brush.style.width = self.brush_size * 2 * this.zoom_ratio + "px";
+    brush.style.height = self.brush_size * 2 * this.zoom_ratio + "px";
+    brush.style.left = centerX - self.brush_size * this.zoom_ratio + "px";
+    brush.style.top = centerY - self.brush_size * this.zoom_ratio + "px";
+  }
+  handleWheelEvent(self, event) {
+    event.preventDefault();
+    if (event.ctrlKey) {
+      if (event.deltaY < 0) {
+        this.zoom_ratio = Math.min(10, this.zoom_ratio + 0.2);
+      } else {
+        this.zoom_ratio = Math.max(0.2, this.zoom_ratio - 0.2);
+      }
+      this.invalidatePanZoom();
+    } else {
+      if (event.deltaY < 0) this.brush_size = Math.min(this.brush_size + 2, 100);
+      else this.brush_size = Math.max(this.brush_size - 2, 1);
+      this.brush_slider_input.value = this.brush_size.toString();
+      this.updateBrushPreview(this);
+    }
+  }
+  pointMoveEvent(self, event) {
+    this.cursorX = event.pageX;
+    this.cursorY = event.pageY;
+    self.updateBrushPreview(self);
+    if (event.ctrlKey) {
+      event.preventDefault();
+      self.pan_move(self, event);
+    }
+    let left_button_down = window.TouchEvent && event instanceof TouchEvent || event.buttons == 1;
+    if (event.shiftKey && left_button_down) {
+      self.drawing_mode = false;
+      const y = event.clientY;
+      let delta = (self.zoom_lasty - y) * 5e-3;
+      self.zoom_ratio = Math.max(
+        Math.min(10, self.last_zoom_ratio - delta),
+        0.2
+      );
+      this.invalidatePanZoom();
+      return;
+    }
+  }
+  pan_move(self, event) {
+    if (event.buttons == 1) {
+      if (MaskEditorDialog.mousedown_x) {
+        let deltaX = MaskEditorDialog.mousedown_x - event.clientX;
+        let deltaY = MaskEditorDialog.mousedown_y - event.clientY;
+        self.pan_x = this.mousedown_pan_x - deltaX;
+        self.pan_y = this.mousedown_pan_y - deltaY;
+        self.invalidatePanZoom();
+      }
+    }
+  }
+  draw_move(self, event) {
+    if (event.ctrlKey || event.shiftKey) {
+      return;
+    }
+    event.preventDefault();
+    this.cursorX = event.pageX;
+    this.cursorY = event.pageY;
+    self.updateBrushPreview(self);
+    let left_button_down = window.TouchEvent && event instanceof TouchEvent || event.buttons == 1;
+    let right_button_down = [2, 5, 32].includes(event.buttons);
+    if (!event.altKey && left_button_down) {
+      var diff = performance.now() - self.lasttime;
+      const maskRect = self.maskCanvas.getBoundingClientRect();
+      var x = event.offsetX;
+      var y = event.offsetY;
+      if (event.offsetX == null) {
+        x = event.targetTouches[0].clientX - maskRect.left;
+      }
+      if (event.offsetY == null) {
+        y = event.targetTouches[0].clientY - maskRect.top;
+      }
+      x /= self.zoom_ratio;
+      y /= self.zoom_ratio;
+      var brush_size = this.brush_size;
+      if (event instanceof PointerEvent && event.pointerType == "pen") {
+        brush_size *= event.pressure;
+        this.last_pressure = event.pressure;
+      } else if (window.TouchEvent && event instanceof TouchEvent && diff < 20) {
+        brush_size *= this.last_pressure;
+      } else {
+        brush_size = this.brush_size;
+      }
+      if (diff > 20 && !this.drawing_mode)
+        requestAnimationFrame(() => {
+          self.maskCtx.beginPath();
+          self.maskCtx.fillStyle = this.getMaskFillStyle();
+          self.maskCtx.globalCompositeOperation = "source-over";
+          self.maskCtx.arc(x, y, brush_size, 0, Math.PI * 2, false);
+          self.maskCtx.fill();
+          self.lastx = x;
+          self.lasty = y;
+        });
+      else
+        requestAnimationFrame(() => {
+          self.maskCtx.beginPath();
+          self.maskCtx.fillStyle = this.getMaskFillStyle();
+          self.maskCtx.globalCompositeOperation = "source-over";
+          var dx = x - self.lastx;
+          var dy = y - self.lasty;
+          var distance = Math.sqrt(dx * dx + dy * dy);
+          var directionX = dx / distance;
+          var directionY = dy / distance;
+          for (var i = 0; i < distance; i += 5) {
+            var px = self.lastx + directionX * i;
+            var py = self.lasty + directionY * i;
+            self.maskCtx.arc(px, py, brush_size, 0, Math.PI * 2, false);
+            self.maskCtx.fill();
+          }
+          self.lastx = x;
+          self.lasty = y;
+        });
+      self.lasttime = performance.now();
+    } else if (event.altKey && left_button_down || right_button_down) {
+      const maskRect = self.maskCanvas.getBoundingClientRect();
+      const x2 = (event.offsetX || event.targetTouches[0].clientX - maskRect.left) / self.zoom_ratio;
+      const y2 = (event.offsetY || event.targetTouches[0].clientY - maskRect.top) / self.zoom_ratio;
+      var brush_size = this.brush_size;
+      if (event instanceof PointerEvent && event.pointerType == "pen") {
+        brush_size *= event.pressure;
+        this.last_pressure = event.pressure;
+      } else if (window.TouchEvent && event instanceof TouchEvent && diff < 20) {
+        brush_size *= this.last_pressure;
+      } else {
+        brush_size = this.brush_size;
+      }
+      if (diff > 20 && !this.drawing_mode)
+        requestAnimationFrame(() => {
+          self.maskCtx.beginPath();
+          self.maskCtx.globalCompositeOperation = "destination-out";
+          self.maskCtx.arc(x2, y2, brush_size, 0, Math.PI * 2, false);
+          self.maskCtx.fill();
+          self.lastx = x2;
+          self.lasty = y2;
+        });
+      else
+        requestAnimationFrame(() => {
+          self.maskCtx.beginPath();
+          self.maskCtx.globalCompositeOperation = "destination-out";
+          var dx = x2 - self.lastx;
+          var dy = y2 - self.lasty;
+          var distance = Math.sqrt(dx * dx + dy * dy);
+          var directionX = dx / distance;
+          var directionY = dy / distance;
+          for (var i = 0; i < distance; i += 5) {
+            var px = self.lastx + directionX * i;
+            var py = self.lasty + directionY * i;
+            self.maskCtx.arc(px, py, brush_size, 0, Math.PI * 2, false);
+            self.maskCtx.fill();
+          }
+          self.lastx = x2;
+          self.lasty = y2;
+        });
+      self.lasttime = performance.now();
+    }
+  }
+  handlePointerDown(self, event) {
+    if (event.ctrlKey) {
+      if (event.buttons == 1) {
+        MaskEditorDialog.mousedown_x = event.clientX;
+        MaskEditorDialog.mousedown_y = event.clientY;
+        this.mousedown_pan_x = this.pan_x;
+        this.mousedown_pan_y = this.pan_y;
+      }
+      return;
+    }
+    var brush_size = this.brush_size;
+    if (event instanceof PointerEvent && event.pointerType == "pen") {
+      brush_size *= event.pressure;
+      this.last_pressure = event.pressure;
+    }
+    if ([0, 2, 5].includes(event.button)) {
+      self.drawing_mode = true;
+      event.preventDefault();
+      if (event.shiftKey) {
+        self.zoom_lasty = event.clientY;
+        self.last_zoom_ratio = self.zoom_ratio;
+        return;
+      }
+      const maskRect = self.maskCanvas.getBoundingClientRect();
+      const x = (event.offsetX || event.targetTouches[0].clientX - maskRect.left) / self.zoom_ratio;
+      const y = (event.offsetY || event.targetTouches[0].clientY - maskRect.top) / self.zoom_ratio;
+      self.maskCtx.beginPath();
+      if (!event.altKey && event.button == 0) {
+        self.maskCtx.fillStyle = this.getMaskFillStyle();
+        self.maskCtx.globalCompositeOperation = "source-over";
+      } else {
+        self.maskCtx.globalCompositeOperation = "destination-out";
+      }
+      self.maskCtx.arc(x, y, brush_size, 0, Math.PI * 2, false);
+      self.maskCtx.fill();
+      self.lastx = x;
+      self.lasty = y;
+      self.lasttime = performance.now();
+    }
+  }
+  async save() {
+    const backupCanvas = document.createElement("canvas");
+    const backupCtx = backupCanvas.getContext("2d", {
+      willReadFrequently: true
+    });
+    backupCanvas.width = this.image.width;
+    backupCanvas.height = this.image.height;
+    backupCtx.clearRect(0, 0, backupCanvas.width, backupCanvas.height);
+    backupCtx.drawImage(
+      this.maskCanvas,
+      0,
+      0,
+      this.maskCanvas.width,
+      this.maskCanvas.height,
+      0,
+      0,
+      backupCanvas.width,
+      backupCanvas.height
+    );
+    const backupData = backupCtx.getImageData(
+      0,
+      0,
+      backupCanvas.width,
+      backupCanvas.height
+    );
+    for (let i = 0; i < backupData.data.length; i += 4) {
+      if (backupData.data[i + 3] == 255) backupData.data[i + 3] = 0;
+      else backupData.data[i + 3] = 255;
+      backupData.data[i] = 0;
+      backupData.data[i + 1] = 0;
+      backupData.data[i + 2] = 0;
+    }
+    backupCtx.globalCompositeOperation = "source-over";
+    backupCtx.putImageData(backupData, 0, 0);
+    const formData = new FormData();
+    const filename = "clipspace-mask-" + performance.now() + ".png";
+    const item = {
+      filename,
+      subfolder: "clipspace",
+      type: "input"
+    };
+    if (ComfyApp.clipspace.images) ComfyApp.clipspace.images[0] = item;
+    if (ComfyApp.clipspace.widgets) {
+      const index = ComfyApp.clipspace.widgets.findIndex(
+        (obj) => obj.name === "image"
+      );
+      if (index >= 0) ComfyApp.clipspace.widgets[index].value = item;
+    }
+    const dataURL = backupCanvas.toDataURL();
+    const blob = dataURLToBlob(dataURL);
+    let original_url = new URL(this.image.src);
+    const original_ref = {
+      filename: original_url.searchParams.get("filename")
+    };
+    let original_subfolder = original_url.searchParams.get("subfolder");
+    if (original_subfolder) original_ref.subfolder = original_subfolder;
+    let original_type = original_url.searchParams.get("type");
+    if (original_type) original_ref.type = original_type;
+    formData.append("image", blob, filename);
+    formData.append("original_ref", JSON.stringify(original_ref));
+    formData.append("type", "input");
+    formData.append("subfolder", "clipspace");
+    this.saveButton.innerText = "Saving...";
+    this.saveButton.disabled = true;
+    await uploadMask(item, formData);
+    ComfyApp.onClipspaceEditorSave();
+    this.close();
+  }
+}
+app.registerExtension({
+  name: "Comfy.MaskEditor",
+  init(app2) {
+    ComfyApp.open_maskeditor = function() {
+      const dlg = MaskEditorDialog.getInstance();
+      if (!dlg.isOpened()) {
+        dlg.show();
+      }
+    };
+    const context_predicate = /* @__PURE__ */ __name(() => ComfyApp.clipspace && ComfyApp.clipspace.imgs && ComfyApp.clipspace.imgs.length > 0, "context_predicate");
+    ClipspaceDialog.registerButton(
+      "MaskEditor",
+      context_predicate,
+      ComfyApp.open_maskeditor
+    );
+  }
+});
+const id = "Comfy.NodeTemplates";
+const file = "comfy.templates.json";
+class ManageTemplates extends ComfyDialog {
+  static {
+    __name(this, "ManageTemplates");
+  }
+  templates;
+  draggedEl;
+  saveVisualCue;
+  emptyImg;
+  importInput;
+  constructor() {
+    super();
+    this.load().then((v) => {
+      this.templates = v;
+    });
+    this.element.classList.add("comfy-manage-templates");
+    this.draggedEl = null;
+    this.saveVisualCue = null;
+    this.emptyImg = new Image();
+    this.emptyImg.src = "data:image/gif;base64,R0lGODlhAQABAIAAAAUEBAAAACwAAAAAAQABAAACAkQBADs=";
+    this.importInput = $el("input", {
+      type: "file",
+      accept: ".json",
+      multiple: true,
+      style: { display: "none" },
+      parent: document.body,
+      onchange: /* @__PURE__ */ __name(() => this.importAll(), "onchange")
+    });
+  }
+  createButtons() {
+    const btns = super.createButtons();
+    btns[0].textContent = "Close";
+    btns[0].onclick = (e) => {
+      clearTimeout(this.saveVisualCue);
+      this.close();
+    };
+    btns.unshift(
+      $el("button", {
+        type: "button",
+        textContent: "Export",
+        onclick: /* @__PURE__ */ __name(() => this.exportAll(), "onclick")
+      })
+    );
+    btns.unshift(
+      $el("button", {
+        type: "button",
+        textContent: "Import",
+        onclick: /* @__PURE__ */ __name(() => {
+          this.importInput.click();
+        }, "onclick")
+      })
+    );
+    return btns;
+  }
+  async load() {
+    let templates = [];
+    if (app.storageLocation === "server") {
+      if (app.isNewUserSession) {
+        const json = localStorage.getItem(id);
+        if (json) {
+          templates = JSON.parse(json);
+        }
+        await api.storeUserData(file, json, { stringify: false });
+      } else {
+        const res = await api.getUserData(file);
+        if (res.status === 200) {
+          try {
+            templates = await res.json();
+          } catch (error) {
+          }
+        } else if (res.status !== 404) {
+          console.error(res.status + " " + res.statusText);
+        }
+      }
+    } else {
+      const json = localStorage.getItem(id);
+      if (json) {
+        templates = JSON.parse(json);
+      }
+    }
+    return templates ?? [];
+  }
+  async store() {
+    if (app.storageLocation === "server") {
+      const templates = JSON.stringify(this.templates, void 0, 4);
+      localStorage.setItem(id, templates);
+      try {
+        await api.storeUserData(file, templates, { stringify: false });
+      } catch (error) {
+        console.error(error);
+        alert(error.message);
+      }
+    } else {
+      localStorage.setItem(id, JSON.stringify(this.templates));
+    }
+  }
+  async importAll() {
+    for (const file2 of this.importInput.files) {
+      if (file2.type === "application/json" || file2.name.endsWith(".json")) {
+        const reader = new FileReader();
+        reader.onload = async () => {
+          const importFile = JSON.parse(reader.result);
+          if (importFile?.templates) {
+            for (const template of importFile.templates) {
+              if (template?.name && template?.data) {
+                this.templates.push(template);
+              }
+            }
+            await this.store();
+          }
+        };
+        await reader.readAsText(file2);
+      }
+    }
+    this.importInput.value = null;
+    this.close();
+  }
+  exportAll() {
+    if (this.templates.length == 0) {
+      alert("No templates to export.");
+      return;
+    }
+    const json = JSON.stringify({ templates: this.templates }, null, 2);
+    const blob = new Blob([json], { type: "application/json" });
+    const url = URL.createObjectURL(blob);
+    const a = $el("a", {
+      href: url,
+      download: "node_templates.json",
+      style: { display: "none" },
+      parent: document.body
+    });
+    a.click();
+    setTimeout(function() {
+      a.remove();
+      window.URL.revokeObjectURL(url);
+    }, 0);
+  }
+  show() {
+    super.show(
+      $el(
+        "div",
+        {},
+        this.templates.flatMap((t, i) => {
+          let nameInput;
+          return [
+            $el(
+              "div",
+              {
+                dataset: { id: i.toString() },
+                className: "templateManagerRow",
+                style: {
+                  display: "grid",
+                  gridTemplateColumns: "1fr auto",
+                  border: "1px dashed transparent",
+                  gap: "5px",
+                  backgroundColor: "var(--comfy-menu-bg)"
+                },
+                ondragstart: /* @__PURE__ */ __name((e) => {
+                  this.draggedEl = e.currentTarget;
+                  e.currentTarget.style.opacity = "0.6";
+                  e.currentTarget.style.border = "1px dashed yellow";
+                  e.dataTransfer.effectAllowed = "move";
+                  e.dataTransfer.setDragImage(this.emptyImg, 0, 0);
+                }, "ondragstart"),
+                ondragend: /* @__PURE__ */ __name((e) => {
+                  e.target.style.opacity = "1";
+                  e.currentTarget.style.border = "1px dashed transparent";
+                  e.currentTarget.removeAttribute("draggable");
+                  this.element.querySelectorAll(".templateManagerRow").forEach((el, i2) => {
+                    var prev_i = Number.parseInt(el.dataset.id);
+                    if (el == this.draggedEl && prev_i != i2) {
+                      this.templates.splice(
+                        i2,
+                        0,
+                        this.templates.splice(prev_i, 1)[0]
+                      );
+                    }
+                    el.dataset.id = i2.toString();
+                  });
+                  this.store();
+                }, "ondragend"),
+                ondragover: /* @__PURE__ */ __name((e) => {
+                  e.preventDefault();
+                  if (e.currentTarget == this.draggedEl) return;
+                  let rect = e.currentTarget.getBoundingClientRect();
+                  if (e.clientY > rect.top + rect.height / 2) {
+                    e.currentTarget.parentNode.insertBefore(
+                      this.draggedEl,
+                      e.currentTarget.nextSibling
+                    );
+                  } else {
+                    e.currentTarget.parentNode.insertBefore(
+                      this.draggedEl,
+                      e.currentTarget
+                    );
+                  }
+                }, "ondragover")
+              },
+              [
+                $el(
+                  "label",
+                  {
+                    textContent: "Name: ",
+                    style: {
+                      cursor: "grab"
+                    },
+                    onmousedown: /* @__PURE__ */ __name((e) => {
+                      if (e.target.localName == "label")
+                        e.currentTarget.parentNode.draggable = "true";
+                    }, "onmousedown")
+                  },
+                  [
+                    $el("input", {
+                      value: t.name,
+                      dataset: { name: t.name },
+                      style: {
+                        transitionProperty: "background-color",
+                        transitionDuration: "0s"
+                      },
+                      onchange: /* @__PURE__ */ __name((e) => {
+                        clearTimeout(this.saveVisualCue);
+                        var el = e.target;
+                        var row = el.parentNode.parentNode;
+                        this.templates[row.dataset.id].name = el.value.trim() || "untitled";
+                        this.store();
+                        el.style.backgroundColor = "rgb(40, 95, 40)";
+                        el.style.transitionDuration = "0s";
+                        this.saveVisualCue = setTimeout(function() {
+                          el.style.transitionDuration = ".7s";
+                          el.style.backgroundColor = "var(--comfy-input-bg)";
+                        }, 15);
+                      }, "onchange"),
+                      onkeypress: /* @__PURE__ */ __name((e) => {
+                        var el = e.target;
+                        clearTimeout(this.saveVisualCue);
+                        el.style.transitionDuration = "0s";
+                        el.style.backgroundColor = "var(--comfy-input-bg)";
+                      }, "onkeypress"),
+                      $: /* @__PURE__ */ __name((el) => nameInput = el, "$")
+                    })
+                  ]
+                ),
+                $el("div", {}, [
+                  $el("button", {
+                    textContent: "Export",
+                    style: {
+                      fontSize: "12px",
+                      fontWeight: "normal"
+                    },
+                    onclick: /* @__PURE__ */ __name((e) => {
+                      const json = JSON.stringify({ templates: [t] }, null, 2);
+                      const blob = new Blob([json], {
+                        type: "application/json"
+                      });
+                      const url = URL.createObjectURL(blob);
+                      const a = $el("a", {
+                        href: url,
+                        download: (nameInput.value || t.name) + ".json",
+                        style: { display: "none" },
+                        parent: document.body
+                      });
+                      a.click();
+                      setTimeout(function() {
+                        a.remove();
+                        window.URL.revokeObjectURL(url);
+                      }, 0);
+                    }, "onclick")
+                  }),
+                  $el("button", {
+                    textContent: "Delete",
+                    style: {
+                      fontSize: "12px",
+                      color: "red",
+                      fontWeight: "normal"
+                    },
+                    onclick: /* @__PURE__ */ __name((e) => {
+                      const item = e.target.parentNode.parentNode;
+                      item.parentNode.removeChild(item);
+                      this.templates.splice(item.dataset.id * 1, 1);
+                      this.store();
+                      var that = this;
+                      setTimeout(function() {
+                        that.element.querySelectorAll(".templateManagerRow").forEach((el, i2) => {
+                          el.dataset.id = i2.toString();
+                        });
+                      }, 0);
+                    }, "onclick")
+                  })
+                ])
+              ]
+            )
+          ];
+        })
+      )
+    );
+  }
+}
+app.registerExtension({
+  name: id,
+  setup() {
+    const manage = new ManageTemplates();
+    const clipboardAction = /* @__PURE__ */ __name(async (cb) => {
+      const old = localStorage.getItem("litegrapheditor_clipboard");
+      await cb();
+      localStorage.setItem("litegrapheditor_clipboard", old);
+    }, "clipboardAction");
+    const orig = LGraphCanvas.prototype.getCanvasMenuOptions;
+    LGraphCanvas.prototype.getCanvasMenuOptions = function() {
+      const options = orig.apply(this, arguments);
+      options.push(null);
+      options.push({
+        content: `Save Selected as Template`,
+        disabled: !Object.keys(app.canvas.selected_nodes || {}).length,
+        callback: /* @__PURE__ */ __name(() => {
+          const name = prompt("Enter name");
+          if (!name?.trim()) return;
+          clipboardAction(() => {
+            app.canvas.copyToClipboard();
+            let data = localStorage.getItem("litegrapheditor_clipboard");
+            data = JSON.parse(data);
+            const nodeIds = Object.keys(app.canvas.selected_nodes);
+            for (let i = 0; i < nodeIds.length; i++) {
+              const node = app.graph.getNodeById(Number.parseInt(nodeIds[i]));
+              const nodeData = node?.constructor.nodeData;
+              let groupData = GroupNodeHandler.getGroupData(node);
+              if (groupData) {
+                groupData = groupData.nodeData;
+                if (!data.groupNodes) {
+                  data.groupNodes = {};
+                }
+                data.groupNodes[nodeData.name] = groupData;
+                data.nodes[i].type = nodeData.name;
+              }
+            }
+            manage.templates.push({
+              name,
+              data: JSON.stringify(data)
+            });
+            manage.store();
+          });
+        }, "callback")
+      });
+      const subItems = manage.templates.map((t) => {
+        return {
+          content: t.name,
+          callback: /* @__PURE__ */ __name(() => {
+            clipboardAction(async () => {
+              const data = JSON.parse(t.data);
+              await GroupNodeConfig.registerFromWorkflow(data.groupNodes, {});
+              localStorage.setItem("litegrapheditor_clipboard", t.data);
+              app.canvas.pasteFromClipboard();
+            });
+          }, "callback")
+        };
+      });
+      subItems.push(null, {
+        content: "Manage",
+        callback: /* @__PURE__ */ __name(() => manage.show(), "callback")
+      });
+      options.push({
+        content: "Node Templates",
+        submenu: {
+          options: subItems
+        }
+      });
+      return options;
+    };
+  }
+});
+app.registerExtension({
+  name: "Comfy.NoteNode",
+  registerCustomNodes() {
+    class NoteNode extends LGraphNode {
+      static {
+        __name(this, "NoteNode");
+      }
+      static category;
+      color = LGraphCanvas.node_colors.yellow.color;
+      bgcolor = LGraphCanvas.node_colors.yellow.bgcolor;
+      groupcolor = LGraphCanvas.node_colors.yellow.groupcolor;
+      isVirtualNode;
+      collapsable;
+      title_mode;
+      constructor(title) {
+        super(title);
+        if (!this.properties) {
+          this.properties = { text: "" };
+        }
+        ComfyWidgets.STRING(
+          // Should we extends LGraphNode?  Yesss
+          this,
+          "",
+          // @ts-expect-error
+          ["", { default: this.properties.text, multiline: true }],
+          app
+        );
+        this.serialize_widgets = true;
+        this.isVirtualNode = true;
+      }
+    }
+    LiteGraph.registerNodeType(
+      "Note",
+      Object.assign(NoteNode, {
+        title_mode: LiteGraph.NORMAL_TITLE,
+        title: "Note",
+        collapsable: true
+      })
+    );
+    NoteNode.category = "utils";
+  }
+});
+app.registerExtension({
+  name: "Comfy.RerouteNode",
+  registerCustomNodes(app2) {
+    class RerouteNode extends LGraphNode {
+      static {
+        __name(this, "RerouteNode");
+      }
+      static category;
+      static defaultVisibility = false;
+      constructor(title) {
+        super(title);
+        if (!this.properties) {
+          this.properties = {};
+        }
+        this.properties.showOutputText = RerouteNode.defaultVisibility;
+        this.properties.horizontal = false;
+        this.addInput("", "*");
+        this.addOutput(this.properties.showOutputText ? "*" : "", "*");
+        this.onAfterGraphConfigured = function() {
+          requestAnimationFrame(() => {
+            this.onConnectionsChange(LiteGraph.INPUT, null, true, null);
+          });
+        };
+        this.onConnectionsChange = function(type, index, connected, link_info) {
+          this.applyOrientation();
+          if (connected && type === LiteGraph.OUTPUT) {
+            const types = new Set(
+              this.outputs[0].links.map((l) => app2.graph.links[l].type).filter((t) => t !== "*")
+            );
+            if (types.size > 1) {
+              const linksToDisconnect = [];
+              for (let i = 0; i < this.outputs[0].links.length - 1; i++) {
+                const linkId = this.outputs[0].links[i];
+                const link = app2.graph.links[linkId];
+                linksToDisconnect.push(link);
+              }
+              for (const link of linksToDisconnect) {
+                const node = app2.graph.getNodeById(link.target_id);
+                node.disconnectInput(link.target_slot);
+              }
+            }
+          }
+          let currentNode = this;
+          let updateNodes = [];
+          let inputType = null;
+          let inputNode = null;
+          while (currentNode) {
+            updateNodes.unshift(currentNode);
+            const linkId = currentNode.inputs[0].link;
+            if (linkId !== null) {
+              const link = app2.graph.links[linkId];
+              if (!link) return;
+              const node = app2.graph.getNodeById(link.origin_id);
+              const type2 = node.constructor.type;
+              if (type2 === "Reroute") {
+                if (node === this) {
+                  currentNode.disconnectInput(link.target_slot);
+                  currentNode = null;
+                } else {
+                  currentNode = node;
+                }
+              } else {
+                inputNode = currentNode;
+                inputType = node.outputs[link.origin_slot]?.type ?? null;
+                break;
+              }
+            } else {
+              currentNode = null;
+              break;
+            }
+          }
+          const nodes = [this];
+          let outputType = null;
+          while (nodes.length) {
+            currentNode = nodes.pop();
+            const outputs = (currentNode.outputs ? currentNode.outputs[0].links : []) || [];
+            if (outputs.length) {
+              for (const linkId of outputs) {
+                const link = app2.graph.links[linkId];
+                if (!link) continue;
+                const node = app2.graph.getNodeById(link.target_id);
+                const type2 = node.constructor.type;
+                if (type2 === "Reroute") {
+                  nodes.push(node);
+                  updateNodes.push(node);
+                } else {
+                  const nodeOutType = node.inputs && node.inputs[link?.target_slot] && node.inputs[link.target_slot].type ? node.inputs[link.target_slot].type : null;
+                  if (inputType && inputType !== "*" && nodeOutType !== inputType) {
+                    node.disconnectInput(link.target_slot);
+                  } else {
+                    outputType = nodeOutType;
+                  }
+                }
+              }
+            } else {
+            }
+          }
+          const displayType = inputType || outputType || "*";
+          const color = LGraphCanvas.link_type_colors[displayType];
+          let widgetConfig;
+          let targetWidget;
+          let widgetType;
+          for (const node of updateNodes) {
+            node.outputs[0].type = inputType || "*";
+            node.__outputType = displayType;
+            node.outputs[0].name = node.properties.showOutputText ? displayType : "";
+            node.size = node.computeSize();
+            node.applyOrientation();
+            for (const l of node.outputs[0].links || []) {
+              const link = app2.graph.links[l];
+              if (link) {
+                link.color = color;
+                if (app2.configuringGraph) continue;
+                const targetNode = app2.graph.getNodeById(link.target_id);
+                const targetInput = targetNode.inputs?.[link.target_slot];
+                if (targetInput?.widget) {
+                  const config = getWidgetConfig(targetInput);
+                  if (!widgetConfig) {
+                    widgetConfig = config[1] ?? {};
+                    widgetType = config[0];
+                  }
+                  if (!targetWidget) {
+                    targetWidget = targetNode.widgets?.find(
+                      (w) => w.name === targetInput.widget.name
+                    );
+                  }
+                  const merged = mergeIfValid(targetInput, [
+                    config[0],
+                    widgetConfig
+                  ]);
+                  if (merged.customConfig) {
+                    widgetConfig = merged.customConfig;
+                  }
+                }
+              }
+            }
+          }
+          for (const node of updateNodes) {
+            if (widgetConfig && outputType) {
+              node.inputs[0].widget = { name: "value" };
+              setWidgetConfig(
+                node.inputs[0],
+                [widgetType ?? displayType, widgetConfig],
+                targetWidget
+              );
+            } else {
+              setWidgetConfig(node.inputs[0], null);
+            }
+          }
+          if (inputNode) {
+            const link = app2.graph.links[inputNode.inputs[0].link];
+            if (link) {
+              link.color = color;
+            }
+          }
+        };
+        this.clone = function() {
+          const cloned = RerouteNode.prototype.clone.apply(this);
+          cloned.removeOutput(0);
+          cloned.addOutput(this.properties.showOutputText ? "*" : "", "*");
+          cloned.size = cloned.computeSize();
+          return cloned;
+        };
+        this.isVirtualNode = true;
+      }
+      getExtraMenuOptions(_, options) {
+        options.unshift(
+          {
+            content: (this.properties.showOutputText ? "Hide" : "Show") + " Type",
+            callback: /* @__PURE__ */ __name(() => {
+              this.properties.showOutputText = !this.properties.showOutputText;
+              if (this.properties.showOutputText) {
+                this.outputs[0].name = this.__outputType || this.outputs[0].type;
+              } else {
+                this.outputs[0].name = "";
+              }
+              this.size = this.computeSize();
+              this.applyOrientation();
+              app2.graph.setDirtyCanvas(true, true);
+            }, "callback")
+          },
+          {
+            content: (RerouteNode.defaultVisibility ? "Hide" : "Show") + " Type By Default",
+            callback: /* @__PURE__ */ __name(() => {
+              RerouteNode.setDefaultTextVisibility(
+                !RerouteNode.defaultVisibility
+              );
+            }, "callback")
+          },
+          {
+            // naming is inverted with respect to LiteGraphNode.horizontal
+            // LiteGraphNode.horizontal == true means that
+            // each slot in the inputs and outputs are laid out horizontally,
+            // which is the opposite of the visual orientation of the inputs and outputs as a node
+            content: "Set " + (this.properties.horizontal ? "Horizontal" : "Vertical"),
+            callback: /* @__PURE__ */ __name(() => {
+              this.properties.horizontal = !this.properties.horizontal;
+              this.applyOrientation();
+            }, "callback")
+          }
+        );
+      }
+      applyOrientation() {
+        this.horizontal = this.properties.horizontal;
+        if (this.horizontal) {
+          this.inputs[0].pos = [this.size[0] / 2, 0];
+        } else {
+          delete this.inputs[0].pos;
+        }
+        app2.graph.setDirtyCanvas(true, true);
+      }
+      computeSize() {
+        return [
+          this.properties.showOutputText && this.outputs && this.outputs.length ? Math.max(
+            75,
+            LiteGraph.NODE_TEXT_SIZE * this.outputs[0].name.length * 0.6 + 40
+          ) : 75,
+          26
+        ];
+      }
+      static setDefaultTextVisibility(visible) {
+        RerouteNode.defaultVisibility = visible;
+        if (visible) {
+          localStorage["Comfy.RerouteNode.DefaultVisibility"] = "true";
+        } else {
+          delete localStorage["Comfy.RerouteNode.DefaultVisibility"];
+        }
+      }
+    }
+    RerouteNode.setDefaultTextVisibility(
+      !!localStorage["Comfy.RerouteNode.DefaultVisibility"]
+    );
+    LiteGraph.registerNodeType(
+      "Reroute",
+      Object.assign(RerouteNode, {
+        title_mode: LiteGraph.NO_TITLE,
+        title: "Reroute",
+        collapsable: false
+      })
+    );
+    RerouteNode.category = "utils";
+  }
+});
+app.registerExtension({
+  name: "Comfy.SaveImageExtraOutput",
+  async beforeRegisterNodeDef(nodeType, nodeData, app2) {
+    if (nodeData.name === "SaveImage" || nodeData.name === "SaveAnimatedWEBP") {
+      const onNodeCreated = nodeType.prototype.onNodeCreated;
+      nodeType.prototype.onNodeCreated = function() {
+        const r = onNodeCreated ? onNodeCreated.apply(this, arguments) : void 0;
+        const widget = this.widgets.find((w) => w.name === "filename_prefix");
+        widget.serializeValue = () => {
+          return applyTextReplacements(app2, widget.value);
+        };
+        return r;
+      };
+    } else {
+      const onNodeCreated = nodeType.prototype.onNodeCreated;
+      nodeType.prototype.onNodeCreated = function() {
+        const r = onNodeCreated ? onNodeCreated.apply(this, arguments) : void 0;
+        if (!this.properties || !("Node name for S&R" in this.properties)) {
+          this.addProperty("Node name for S&R", this.constructor.type, "string");
+        }
+        return r;
+      };
+    }
+  }
+});
+let touchZooming;
+let touchCount = 0;
+app.registerExtension({
+  name: "Comfy.SimpleTouchSupport",
+  setup() {
+    let zoomPos;
+    let touchTime;
+    let lastTouch;
+    function getMultiTouchPos(e) {
+      return Math.hypot(
+        e.touches[0].clientX - e.touches[1].clientX,
+        e.touches[0].clientY - e.touches[1].clientY
+      );
+    }
+    __name(getMultiTouchPos, "getMultiTouchPos");
+    app.canvasEl.addEventListener(
+      "touchstart",
+      (e) => {
+        touchCount++;
+        lastTouch = null;
+        if (e.touches?.length === 1) {
+          touchTime = /* @__PURE__ */ new Date();
+          lastTouch = e.touches[0];
+        } else {
+          touchTime = null;
+          if (e.touches?.length === 2) {
+            zoomPos = getMultiTouchPos(e);
+            app.canvas.pointer_is_down = false;
+          }
+        }
+      },
+      true
+    );
+    app.canvasEl.addEventListener("touchend", (e) => {
+      touchZooming = false;
+      touchCount = e.touches?.length ?? touchCount - 1;
+      if (touchTime && !e.touches?.length) {
+        if ((/* @__PURE__ */ new Date()).getTime() - touchTime > 600) {
+          try {
+            e.constructor = CustomEvent;
+          } catch (error) {
+          }
+          e.clientX = lastTouch.clientX;
+          e.clientY = lastTouch.clientY;
+          app.canvas.pointer_is_down = true;
+          app.canvas._mousedown_callback(e);
+        }
+        touchTime = null;
+      }
+    });
+    app.canvasEl.addEventListener(
+      "touchmove",
+      (e) => {
+        touchTime = null;
+        if (e.touches?.length === 2) {
+          app.canvas.pointer_is_down = false;
+          touchZooming = true;
+          LiteGraph.closeAllContextMenus();
+          app.canvas.search_box?.close();
+          const newZoomPos = getMultiTouchPos(e);
+          const midX = (e.touches[0].clientX + e.touches[1].clientX) / 2;
+          const midY = (e.touches[0].clientY + e.touches[1].clientY) / 2;
+          let scale = app.canvas.ds.scale;
+          const diff = zoomPos - newZoomPos;
+          if (diff > 0.5) {
+            scale *= 1 / 1.07;
+          } else if (diff < -0.5) {
+            scale *= 1.07;
+          }
+          app.canvas.ds.changeScale(scale, [midX, midY]);
+          app.canvas.setDirty(true, true);
+          zoomPos = newZoomPos;
+        }
+      },
+      true
+    );
+  }
+});
+const processMouseDown = LGraphCanvas.prototype.processMouseDown;
+LGraphCanvas.prototype.processMouseDown = function(e) {
+  if (touchZooming || touchCount) {
+    return;
+  }
+  return processMouseDown.apply(this, arguments);
+};
+const processMouseMove = LGraphCanvas.prototype.processMouseMove;
+LGraphCanvas.prototype.processMouseMove = function(e) {
+  if (touchZooming || touchCount > 1) {
+    return;
+  }
+  return processMouseMove.apply(this, arguments);
+};
+app.registerExtension({
+  name: "Comfy.SlotDefaults",
+  suggestionsNumber: null,
+  init() {
+    LiteGraph.search_filter_enabled = true;
+    LiteGraph.middle_click_slot_add_default_node = true;
+    this.suggestionsNumber = app.ui.settings.addSetting({
+      id: "Comfy.NodeSuggestions.number",
+      category: ["Comfy", "Node Search Box", "NodeSuggestions"],
+      name: "Number of nodes suggestions",
+      tooltip: "Only for litegraph searchbox/context menu",
+      type: "slider",
+      attrs: {
+        min: 1,
+        max: 100,
+        step: 1
+      },
+      defaultValue: 5,
+      onChange: /* @__PURE__ */ __name((newVal, oldVal) => {
+        this.setDefaults(newVal);
+      }, "onChange")
+    });
+  },
+  slot_types_default_out: {},
+  slot_types_default_in: {},
+  async beforeRegisterNodeDef(nodeType, nodeData, app2) {
+    var nodeId = nodeData.name;
+    var inputs = [];
+    inputs = nodeData["input"]["required"];
+    for (const inputKey in inputs) {
+      var input = inputs[inputKey];
+      if (typeof input[0] !== "string") continue;
+      var type = input[0];
+      if (type in ComfyWidgets) {
+        var customProperties = input[1];
+        if (!customProperties?.forceInput) continue;
+      }
+      if (!(type in this.slot_types_default_out)) {
+        this.slot_types_default_out[type] = ["Reroute"];
+      }
+      if (this.slot_types_default_out[type].includes(nodeId)) continue;
+      this.slot_types_default_out[type].push(nodeId);
+      const lowerType = type.toLocaleLowerCase();
+      if (!(lowerType in LiteGraph.registered_slot_in_types)) {
+        LiteGraph.registered_slot_in_types[lowerType] = { nodes: [] };
+      }
+      LiteGraph.registered_slot_in_types[lowerType].nodes.push(
+        nodeType.comfyClass
+      );
+    }
+    var outputs = nodeData["output"];
+    for (const key in outputs) {
+      var type = outputs[key];
+      if (!(type in this.slot_types_default_in)) {
+        this.slot_types_default_in[type] = ["Reroute"];
+      }
+      this.slot_types_default_in[type].push(nodeId);
+      if (!(type in LiteGraph.registered_slot_out_types)) {
+        LiteGraph.registered_slot_out_types[type] = { nodes: [] };
+      }
+      LiteGraph.registered_slot_out_types[type].nodes.push(nodeType.comfyClass);
+      if (!LiteGraph.slot_types_out.includes(type)) {
+        LiteGraph.slot_types_out.push(type);
+      }
+    }
+    var maxNum = this.suggestionsNumber.value;
+    this.setDefaults(maxNum);
+  },
+  setDefaults(maxNum) {
+    LiteGraph.slot_types_default_out = {};
+    LiteGraph.slot_types_default_in = {};
+    for (const type in this.slot_types_default_out) {
+      LiteGraph.slot_types_default_out[type] = this.slot_types_default_out[type].slice(0, maxNum);
+    }
+    for (const type in this.slot_types_default_in) {
+      LiteGraph.slot_types_default_in[type] = this.slot_types_default_in[type].slice(0, maxNum);
+    }
+  }
+});
+function roundVectorToGrid(vec) {
+  vec[0] = LiteGraph.CANVAS_GRID_SIZE * Math.round(vec[0] / LiteGraph.CANVAS_GRID_SIZE);
+  vec[1] = LiteGraph.CANVAS_GRID_SIZE * Math.round(vec[1] / LiteGraph.CANVAS_GRID_SIZE);
+  return vec;
+}
+__name(roundVectorToGrid, "roundVectorToGrid");
+app.registerExtension({
+  name: "Comfy.SnapToGrid",
+  init() {
+    app.ui.settings.addSetting({
+      id: "Comfy.SnapToGrid.GridSize",
+      category: ["Comfy", "Graph", "GridSize"],
+      name: "Snap to grid size",
+      type: "slider",
+      attrs: {
+        min: 1,
+        max: 500
+      },
+      tooltip: "When dragging and resizing nodes while holding shift they will be aligned to the grid, this controls the size of that grid.",
+      defaultValue: LiteGraph.CANVAS_GRID_SIZE,
+      onChange(value) {
+        LiteGraph.CANVAS_GRID_SIZE = +value;
+      }
+    });
+    const onNodeMoved = app.canvas.onNodeMoved;
+    app.canvas.onNodeMoved = function(node) {
+      const r = onNodeMoved?.apply(this, arguments);
+      if (app.shiftDown) {
+        for (const id2 in this.selected_nodes) {
+          this.selected_nodes[id2].alignToGrid();
+        }
+      }
+      return r;
+    };
+    const onNodeAdded = app.graph.onNodeAdded;
+    app.graph.onNodeAdded = function(node) {
+      const onResize = node.onResize;
+      node.onResize = function() {
+        if (app.shiftDown) {
+          roundVectorToGrid(node.size);
+        }
+        return onResize?.apply(this, arguments);
+      };
+      return onNodeAdded?.apply(this, arguments);
+    };
+    const origDrawNode = LGraphCanvas.prototype.drawNode;
+    LGraphCanvas.prototype.drawNode = function(node, ctx) {
+      if (app.shiftDown && this.node_dragged && node.id in this.selected_nodes) {
+        const [x, y] = roundVectorToGrid([...node.pos]);
+        const shiftX = x - node.pos[0];
+        let shiftY = y - node.pos[1];
+        let w, h;
+        if (node.flags.collapsed) {
+          w = node._collapsed_width;
+          h = LiteGraph.NODE_TITLE_HEIGHT;
+          shiftY -= LiteGraph.NODE_TITLE_HEIGHT;
+        } else {
+          w = node.size[0];
+          h = node.size[1];
+          let titleMode = node.constructor.title_mode;
+          if (titleMode !== LiteGraph.TRANSPARENT_TITLE && titleMode !== LiteGraph.NO_TITLE) {
+            h += LiteGraph.NODE_TITLE_HEIGHT;
+            shiftY -= LiteGraph.NODE_TITLE_HEIGHT;
+          }
+        }
+        const f = ctx.fillStyle;
+        ctx.fillStyle = "rgba(100, 100, 100, 0.5)";
+        ctx.fillRect(shiftX, shiftY, w, h);
+        ctx.fillStyle = f;
+      }
+      return origDrawNode.apply(this, arguments);
+    };
+    let selectedAndMovingGroup = null;
+    const groupMove = LGraphGroup.prototype.move;
+    LGraphGroup.prototype.move = function(deltax, deltay, ignore_nodes) {
+      const v = groupMove.apply(this, arguments);
+      if (!selectedAndMovingGroup && app.canvas.selected_group === this && (deltax || deltay)) {
+        selectedAndMovingGroup = this;
+      }
+      if (app.canvas.last_mouse_dragging === false && app.shiftDown) {
+        this.recomputeInsideNodes();
+        for (const node of this._nodes) {
+          node.alignToGrid();
+        }
+        LGraphNode.prototype.alignToGrid.apply(this);
+      }
+      return v;
+    };
+    const drawGroups = LGraphCanvas.prototype.drawGroups;
+    LGraphCanvas.prototype.drawGroups = function(canvas, ctx) {
+      if (this.selected_group && app.shiftDown) {
+        if (this.selected_group_resizing) {
+          roundVectorToGrid(this.selected_group.size);
+        } else if (selectedAndMovingGroup) {
+          const [x, y] = roundVectorToGrid([...selectedAndMovingGroup.pos]);
+          const f = ctx.fillStyle;
+          const s = ctx.strokeStyle;
+          ctx.fillStyle = "rgba(100, 100, 100, 0.33)";
+          ctx.strokeStyle = "rgba(100, 100, 100, 0.66)";
+          ctx.rect(x, y, ...selectedAndMovingGroup.size);
+          ctx.fill();
+          ctx.stroke();
+          ctx.fillStyle = f;
+          ctx.strokeStyle = s;
+        }
+      } else if (!this.selected_group) {
+        selectedAndMovingGroup = null;
+      }
+      return drawGroups.apply(this, arguments);
+    };
+    const onGroupAdd = LGraphCanvas.onGroupAdd;
+    LGraphCanvas.onGroupAdd = function() {
+      const v = onGroupAdd.apply(app.canvas, arguments);
+      if (app.shiftDown) {
+        const lastGroup = app.graph._groups[app.graph._groups.length - 1];
+        if (lastGroup) {
+          roundVectorToGrid(lastGroup.pos);
+          roundVectorToGrid(lastGroup.size);
+        }
+      }
+      return v;
+    };
+  }
+});
+app.registerExtension({
+  name: "Comfy.UploadImage",
+  async beforeRegisterNodeDef(nodeType, nodeData, app2) {
+    if (nodeData?.input?.required?.image?.[1]?.image_upload === true) {
+      nodeData.input.required.upload = ["IMAGEUPLOAD"];
+    }
+  }
+});
+const WEBCAM_READY = Symbol();
+app.registerExtension({
+  name: "Comfy.WebcamCapture",
+  getCustomWidgets(app2) {
+    return {
+      WEBCAM(node, inputName) {
+        let res;
+        node[WEBCAM_READY] = new Promise((resolve) => res = resolve);
+        const container = document.createElement("div");
+        container.style.background = "rgba(0,0,0,0.25)";
+        container.style.textAlign = "center";
+        const video = document.createElement("video");
+        video.style.height = video.style.width = "100%";
+        const loadVideo = /* @__PURE__ */ __name(async () => {
+          try {
+            const stream = await navigator.mediaDevices.getUserMedia({
+              video: true,
+              audio: false
+            });
+            container.replaceChildren(video);
+            setTimeout(() => res(video), 500);
+            video.addEventListener("loadedmetadata", () => res(video), false);
+            video.srcObject = stream;
+            video.play();
+          } catch (error) {
+            const label = document.createElement("div");
+            label.style.color = "red";
+            label.style.overflow = "auto";
+            label.style.maxHeight = "100%";
+            label.style.whiteSpace = "pre-wrap";
+            if (window.isSecureContext) {
+              label.textContent = "Unable to load webcam, please ensure access is granted:\n" + error.message;
+            } else {
+              label.textContent = "Unable to load webcam. A secure context is required, if you are not accessing ComfyUI on localhost (127.0.0.1) you will have to enable TLS (https)\n\n" + error.message;
+            }
+            container.replaceChildren(label);
+          }
+        }, "loadVideo");
+        loadVideo();
+        return { widget: node.addDOMWidget(inputName, "WEBCAM", container) };
+      }
+    };
+  },
+  nodeCreated(node) {
+    if (node.type, node.constructor.comfyClass !== "WebcamCapture") return;
+    let video;
+    const camera = node.widgets.find((w2) => w2.name === "image");
+    const w = node.widgets.find((w2) => w2.name === "width");
+    const h = node.widgets.find((w2) => w2.name === "height");
+    const captureOnQueue = node.widgets.find(
+      (w2) => w2.name === "capture_on_queue"
+    );
+    const canvas = document.createElement("canvas");
+    const capture = /* @__PURE__ */ __name(() => {
+      canvas.width = w.value;
+      canvas.height = h.value;
+      const ctx = canvas.getContext("2d");
+      ctx.drawImage(video, 0, 0, w.value, h.value);
+      const data = canvas.toDataURL("image/png");
+      const img = new Image();
+      img.onload = () => {
+        node.imgs = [img];
+        app.graph.setDirtyCanvas(true);
+        requestAnimationFrame(() => {
+          node.setSizeForImage?.();
+        });
+      };
+      img.src = data;
+    }, "capture");
+    const btn = node.addWidget(
+      "button",
+      "waiting for camera...",
+      "capture",
+      capture
+    );
+    btn.disabled = true;
+    btn.serializeValue = () => void 0;
+    camera.serializeValue = async () => {
+      if (captureOnQueue.value) {
+        capture();
+      } else if (!node.imgs?.length) {
+        const err = `No webcam image captured`;
+        alert(err);
+        throw new Error(err);
+      }
+      const blob = await new Promise((r) => canvas.toBlob(r));
+      const name = `${+/* @__PURE__ */ new Date()}.png`;
+      const file2 = new File([blob], name);
+      const body = new FormData();
+      body.append("image", file2);
+      body.append("subfolder", "webcam");
+      body.append("type", "temp");
+      const resp = await api.fetchApi("/upload/image", {
+        method: "POST",
+        body
+      });
+      if (resp.status !== 200) {
+        const err = `Error uploading camera image: ${resp.status} - ${resp.statusText}`;
+        alert(err);
+        throw new Error(err);
+      }
+      return `webcam/${name} [temp]`;
+    };
+    node[WEBCAM_READY].then((v) => {
+      video = v;
+      if (!w.value) {
+        w.value = video.videoWidth || 640;
+        h.value = video.videoHeight || 480;
+      }
+      btn.disabled = false;
+      btn.label = "capture";
+    });
+  }
+});
+function splitFilePath(path) {
+  const folder_separator = path.lastIndexOf("/");
+  if (folder_separator === -1) {
+    return ["", path];
+  }
+  return [
+    path.substring(0, folder_separator),
+    path.substring(folder_separator + 1)
+  ];
+}
+__name(splitFilePath, "splitFilePath");
+function getResourceURL(subfolder, filename, type = "input") {
+  const params = [
+    "filename=" + encodeURIComponent(filename),
+    "type=" + type,
+    "subfolder=" + subfolder,
+    app.getRandParam().substring(1)
+  ].join("&");
+  return `/view?${params}`;
+}
+__name(getResourceURL, "getResourceURL");
+async function uploadFile(audioWidget, audioUIWidget, file2, updateNode, pasted = false) {
+  try {
+    const body = new FormData();
+    body.append("image", file2);
+    if (pasted) body.append("subfolder", "pasted");
+    const resp = await api.fetchApi("/upload/image", {
+      method: "POST",
+      body
+    });
+    if (resp.status === 200) {
+      const data = await resp.json();
+      let path = data.name;
+      if (data.subfolder) path = data.subfolder + "/" + path;
+      if (!audioWidget.options.values.includes(path)) {
+        audioWidget.options.values.push(path);
+      }
+      if (updateNode) {
+        audioUIWidget.element.src = api.apiURL(
+          getResourceURL(...splitFilePath(path))
+        );
+        audioWidget.value = path;
+      }
+    } else {
+      alert(resp.status + " - " + resp.statusText);
+    }
+  } catch (error) {
+    alert(error);
+  }
+}
+__name(uploadFile, "uploadFile");
+app.registerExtension({
+  name: "Comfy.AudioWidget",
+  async beforeRegisterNodeDef(nodeType, nodeData) {
+    if (["LoadAudio", "SaveAudio", "PreviewAudio"].includes(nodeType.comfyClass)) {
+      nodeData.input.required.audioUI = ["AUDIO_UI"];
+    }
+  },
+  getCustomWidgets() {
+    return {
+      AUDIO_UI(node, inputName) {
+        const audio = document.createElement("audio");
+        audio.controls = true;
+        audio.classList.add("comfy-audio");
+        audio.setAttribute("name", "media");
+        const audioUIWidget = node.addDOMWidget(
+          inputName,
+          /* name=*/
+          "audioUI",
+          audio
+        );
+        audioUIWidget.serialize = false;
+        const isOutputNode = node.constructor.nodeData.output_node;
+        if (isOutputNode) {
+          audioUIWidget.element.classList.add("empty-audio-widget");
+          const onExecuted = node.onExecuted;
+          node.onExecuted = function(message) {
+            onExecuted?.apply(this, arguments);
+            const audios = message.audio;
+            if (!audios) return;
+            const audio2 = audios[0];
+            audioUIWidget.element.src = api.apiURL(
+              getResourceURL(audio2.subfolder, audio2.filename, audio2.type)
+            );
+            audioUIWidget.element.classList.remove("empty-audio-widget");
+          };
+        }
+        return { widget: audioUIWidget };
+      }
+    };
+  },
+  onNodeOutputsUpdated(nodeOutputs) {
+    for (const [nodeId, output] of Object.entries(nodeOutputs)) {
+      const node = app.graph.getNodeById(Number.parseInt(nodeId));
+      if ("audio" in output) {
+        const audioUIWidget = node.widgets.find(
+          (w) => w.name === "audioUI"
+        );
+        const audio = output.audio[0];
+        audioUIWidget.element.src = api.apiURL(
+          getResourceURL(audio.subfolder, audio.filename, audio.type)
+        );
+        audioUIWidget.element.classList.remove("empty-audio-widget");
+      }
+    }
+  }
+});
+app.registerExtension({
+  name: "Comfy.UploadAudio",
+  async beforeRegisterNodeDef(nodeType, nodeData) {
+    if (nodeData?.input?.required?.audio?.[1]?.audio_upload === true) {
+      nodeData.input.required.upload = ["AUDIOUPLOAD"];
+    }
+  },
+  getCustomWidgets() {
+    return {
+      AUDIOUPLOAD(node, inputName) {
+        const audioWidget = node.widgets.find(
+          (w) => w.name === "audio"
+        );
+        const audioUIWidget = node.widgets.find(
+          (w) => w.name === "audioUI"
+        );
+        const onAudioWidgetUpdate = /* @__PURE__ */ __name(() => {
+          audioUIWidget.element.src = api.apiURL(
+            getResourceURL(...splitFilePath(audioWidget.value))
+          );
+        }, "onAudioWidgetUpdate");
+        if (audioWidget.value) {
+          onAudioWidgetUpdate();
+        }
+        audioWidget.callback = onAudioWidgetUpdate;
+        const onGraphConfigured = node.onGraphConfigured;
+        node.onGraphConfigured = function() {
+          onGraphConfigured?.apply(this, arguments);
+          if (audioWidget.value) {
+            onAudioWidgetUpdate();
+          }
+        };
+        const fileInput = document.createElement("input");
+        fileInput.type = "file";
+        fileInput.accept = "audio/*";
+        fileInput.style.display = "none";
+        fileInput.onchange = () => {
+          if (fileInput.files.length) {
+            uploadFile(audioWidget, audioUIWidget, fileInput.files[0], true);
+          }
+        };
+        const uploadWidget = node.addWidget(
+          "button",
+          inputName,
+          /* value=*/
+          "",
+          () => {
+            fileInput.click();
+          }
+        );
+        uploadWidget.label = "choose file to upload";
+        uploadWidget.serialize = false;
+        return { widget: uploadWidget };
+      }
+    };
+  }
+});
+//# sourceMappingURL=index-BD-Ia1C4.js.map
diff --git a/ComfyUI/web/assets/index-BD-Ia1C4.js.map b/ComfyUI/web/assets/index-BD-Ia1C4.js.map
new file mode 100644
index 0000000000000000000000000000000000000000..f57ab5465f0a1a2c6c9ddbf03af2a3702e89cdc4
--- /dev/null
+++ b/ComfyUI/web/assets/index-BD-Ia1C4.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index-BD-Ia1C4.js","sources":["../../src/extensions/core/clipspace.ts","../../src/extensions/core/colorPalette.ts","../../src/extensions/core/contextMenuFilter.ts","../../src/extensions/core/dynamicPrompts.ts","../../src/extensions/core/editAttention.ts","../../src/extensions/core/widgetInputs.ts","../../src/extensions/core/groupNodeManage.ts","../../src/extensions/core/groupNode.ts","../../src/extensions/core/groupOptions.ts","../../src/extensions/core/invertMenuScrolling.ts","../../src/extensions/core/keybinds.ts","../../src/extensions/core/linkRenderMode.ts","../../src/extensions/core/maskeditor.ts","../../src/extensions/core/nodeTemplates.ts","../../src/extensions/core/noteNode.ts","../../src/extensions/core/rerouteNode.ts","../../src/extensions/core/saveImageExtraOutput.ts","../../src/extensions/core/simpleTouchSupport.ts","../../src/extensions/core/slotDefaults.ts","../../src/extensions/core/snapToGrid.ts","../../src/extensions/core/uploadImage.ts","../../src/extensions/core/webcamCapture.ts","../../src/extensions/core/uploadAudio.ts"],"sourcesContent":["import { app } from '../../scripts/app'\nimport { ComfyDialog, $el } from '../../scripts/ui'\nimport { ComfyApp } from '../../scripts/app'\n\nexport class ClipspaceDialog extends ComfyDialog {\n  static items = []\n  static instance = null\n\n  static registerButton(name, contextPredicate, callback) {\n    const item = $el('button', {\n      type: 'button',\n      textContent: name,\n      contextPredicate: contextPredicate,\n      onclick: callback\n    })\n\n    ClipspaceDialog.items.push(item)\n  }\n\n  static invalidatePreview() {\n    if (\n      ComfyApp.clipspace &&\n      ComfyApp.clipspace.imgs &&\n      ComfyApp.clipspace.imgs.length > 0\n    ) {\n      const img_preview = document.getElementById(\n        'clipspace_preview'\n      ) as HTMLImageElement\n      if (img_preview) {\n        img_preview.src =\n          ComfyApp.clipspace.imgs[ComfyApp.clipspace['selectedIndex']].src\n        img_preview.style.maxHeight = '100%'\n        img_preview.style.maxWidth = '100%'\n      }\n    }\n  }\n\n  static invalidate() {\n    if (ClipspaceDialog.instance) {\n      const self = ClipspaceDialog.instance\n      // allow reconstruct controls when copying from non-image to image content.\n      const children = $el('div.comfy-modal-content', [\n        self.createImgSettings(),\n        ...self.createButtons()\n      ])\n\n      if (self.element) {\n        // update\n        self.element.removeChild(self.element.firstChild)\n        self.element.appendChild(children)\n      } else {\n        // new\n        self.element = $el('div.comfy-modal', { parent: document.body }, [\n          children\n        ])\n      }\n\n      if (self.element.children[0].children.length <= 1) {\n        self.element.children[0].appendChild(\n          $el('p', {}, [\n            'Unable to find the features to edit content of a format stored in the current Clipspace.'\n          ])\n        )\n      }\n\n      ClipspaceDialog.invalidatePreview()\n    }\n  }\n\n  constructor() {\n    super()\n  }\n\n  createButtons() {\n    const buttons = []\n\n    for (let idx in ClipspaceDialog.items) {\n      const item = ClipspaceDialog.items[idx]\n      if (!item.contextPredicate || item.contextPredicate())\n        buttons.push(ClipspaceDialog.items[idx])\n    }\n\n    buttons.push(\n      $el('button', {\n        type: 'button',\n        textContent: 'Close',\n        onclick: () => {\n          this.close()\n        }\n      })\n    )\n\n    return buttons\n  }\n\n  createImgSettings() {\n    if (ComfyApp.clipspace.imgs) {\n      const combo_items = []\n      const imgs = ComfyApp.clipspace.imgs\n\n      for (let i = 0; i < imgs.length; i++) {\n        combo_items.push($el('option', { value: i }, [`${i}`]))\n      }\n\n      const combo1 = $el(\n        'select',\n        {\n          id: 'clipspace_img_selector',\n          onchange: (event) => {\n            ComfyApp.clipspace['selectedIndex'] = event.target.selectedIndex\n            ClipspaceDialog.invalidatePreview()\n          }\n        },\n        combo_items\n      )\n\n      const row1 = $el('tr', {}, [\n        $el('td', {}, [$el('font', { color: 'white' }, ['Select Image'])]),\n        $el('td', {}, [combo1])\n      ])\n\n      const combo2 = $el(\n        'select',\n        {\n          id: 'clipspace_img_paste_mode',\n          onchange: (event) => {\n            ComfyApp.clipspace['img_paste_mode'] = event.target.value\n          }\n        },\n        [\n          $el('option', { value: 'selected' }, 'selected'),\n          $el('option', { value: 'all' }, 'all')\n        ]\n      ) as HTMLSelectElement\n      combo2.value = ComfyApp.clipspace['img_paste_mode']\n\n      const row2 = $el('tr', {}, [\n        $el('td', {}, [$el('font', { color: 'white' }, ['Paste Mode'])]),\n        $el('td', {}, [combo2])\n      ])\n\n      const td = $el(\n        'td',\n        { align: 'center', width: '100px', height: '100px', colSpan: '2' },\n        [$el('img', { id: 'clipspace_preview', ondragstart: () => false }, [])]\n      )\n\n      const row3 = $el('tr', {}, [td])\n\n      return $el('table', {}, [row1, row2, row3])\n    } else {\n      return []\n    }\n  }\n\n  createImgPreview() {\n    if (ComfyApp.clipspace.imgs) {\n      return $el('img', { id: 'clipspace_preview', ondragstart: () => false })\n    } else return []\n  }\n\n  show() {\n    const img_preview = document.getElementById('clipspace_preview')\n    ClipspaceDialog.invalidate()\n\n    this.element.style.display = 'block'\n  }\n}\n\napp.registerExtension({\n  name: 'Comfy.Clipspace',\n  init(app) {\n    app.openClipspace = function () {\n      if (!ClipspaceDialog.instance) {\n        ClipspaceDialog.instance = new ClipspaceDialog()\n        ComfyApp.clipspace_invalidate_handler = ClipspaceDialog.invalidate\n      }\n\n      if (ComfyApp.clipspace) {\n        ClipspaceDialog.instance.show()\n      } else app.ui.dialog.show('Clipspace is Empty!')\n    }\n  }\n})\n","import { app } from '../../scripts/app'\nimport { $el } from '../../scripts/ui'\nimport type { ColorPalettes, Palette } from '@/types/colorPalette'\nimport { LGraphCanvas, LiteGraph } from '@comfyorg/litegraph'\n\n// Manage color palettes\n\nconst colorPalettes: ColorPalettes = {\n  dark: {\n    id: 'dark',\n    name: 'Dark (Default)',\n    colors: {\n      node_slot: {\n        CLIP: '#FFD500', // bright yellow\n        CLIP_VISION: '#A8DADC', // light blue-gray\n        CLIP_VISION_OUTPUT: '#ad7452', // rusty brown-orange\n        CONDITIONING: '#FFA931', // vibrant orange-yellow\n        CONTROL_NET: '#6EE7B7', // soft mint green\n        IMAGE: '#64B5F6', // bright sky blue\n        LATENT: '#FF9CF9', // light pink-purple\n        MASK: '#81C784', // muted green\n        MODEL: '#B39DDB', // light lavender-purple\n        STYLE_MODEL: '#C2FFAE', // light green-yellow\n        VAE: '#FF6E6E', // bright red\n        NOISE: '#B0B0B0', // gray\n        GUIDER: '#66FFFF', // cyan\n        SAMPLER: '#ECB4B4', // very soft red\n        SIGMAS: '#CDFFCD', // soft lime green\n        TAESD: '#DCC274' // cheesecake\n      },\n      litegraph_base: {\n        BACKGROUND_IMAGE:\n          'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGQAAABkCAIAAAD/gAIDAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAQBJREFUeNrs1rEKwjAUhlETUkj3vP9rdmr1Ysammk2w5wdxuLgcMHyptfawuZX4pJSWZTnfnu/lnIe/jNNxHHGNn//HNbbv+4dr6V+11uF527arU7+u63qfa/bnmh8sWLBgwYJlqRf8MEptXPBXJXa37BSl3ixYsGDBMliwFLyCV/DeLIMFCxYsWLBMwSt4Be/NggXLYMGCBUvBK3iNruC9WbBgwYJlsGApeAWv4L1ZBgsWLFiwYJmCV/AK3psFC5bBggULloJX8BpdwXuzYMGCBctgwVLwCl7Be7MMFixYsGDBsu8FH1FaSmExVfAxBa/gvVmwYMGCZbBg/W4vAQYA5tRF9QYlv/QAAAAASUVORK5CYII=',\n        CLEAR_BACKGROUND_COLOR: '#222',\n        NODE_TITLE_COLOR: '#999',\n        NODE_SELECTED_TITLE_COLOR: '#FFF',\n        NODE_TEXT_SIZE: 14,\n        NODE_TEXT_COLOR: '#AAA',\n        NODE_SUBTEXT_SIZE: 12,\n        NODE_DEFAULT_COLOR: '#333',\n        NODE_DEFAULT_BGCOLOR: '#353535',\n        NODE_DEFAULT_BOXCOLOR: '#666',\n        NODE_DEFAULT_SHAPE: 'box',\n        NODE_BOX_OUTLINE_COLOR: '#FFF',\n        DEFAULT_SHADOW_COLOR: 'rgba(0,0,0,0.5)',\n        DEFAULT_GROUP_FONT: 24,\n\n        WIDGET_BGCOLOR: '#222',\n        WIDGET_OUTLINE_COLOR: '#666',\n        WIDGET_TEXT_COLOR: '#DDD',\n        WIDGET_SECONDARY_TEXT_COLOR: '#999',\n\n        LINK_COLOR: '#9A9',\n        EVENT_LINK_COLOR: '#A86',\n        CONNECTING_LINK_COLOR: '#AFA'\n      },\n      comfy_base: {\n        'fg-color': '#fff',\n        'bg-color': '#202020',\n        'comfy-menu-bg': '#353535',\n        'comfy-input-bg': '#222',\n        'input-text': '#ddd',\n        'descrip-text': '#999',\n        'drag-text': '#ccc',\n        'error-text': '#ff4444',\n        'border-color': '#4e4e4e',\n        'tr-even-bg-color': '#222',\n        'tr-odd-bg-color': '#353535',\n        'content-bg': '#4e4e4e',\n        'content-fg': '#fff',\n        'content-hover-bg': '#222',\n        'content-hover-fg': '#fff'\n      }\n    }\n  },\n  light: {\n    id: 'light',\n    name: 'Light',\n    colors: {\n      node_slot: {\n        CLIP: '#FFA726', // orange\n        CLIP_VISION: '#5C6BC0', // indigo\n        CLIP_VISION_OUTPUT: '#8D6E63', // brown\n        CONDITIONING: '#EF5350', // red\n        CONTROL_NET: '#66BB6A', // green\n        IMAGE: '#42A5F5', // blue\n        LATENT: '#AB47BC', // purple\n        MASK: '#9CCC65', // light green\n        MODEL: '#7E57C2', // deep purple\n        STYLE_MODEL: '#D4E157', // lime\n        VAE: '#FF7043' // deep orange\n      },\n      litegraph_base: {\n        BACKGROUND_IMAGE:\n          'data:image/gif;base64,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',\n        CLEAR_BACKGROUND_COLOR: 'lightgray',\n        NODE_TITLE_COLOR: '#222',\n        NODE_SELECTED_TITLE_COLOR: '#000',\n        NODE_TEXT_SIZE: 14,\n        NODE_TEXT_COLOR: '#444',\n        NODE_SUBTEXT_SIZE: 12,\n        NODE_DEFAULT_COLOR: '#F7F7F7',\n        NODE_DEFAULT_BGCOLOR: '#F5F5F5',\n        NODE_DEFAULT_BOXCOLOR: '#CCC',\n        NODE_DEFAULT_SHAPE: 'box',\n        NODE_BOX_OUTLINE_COLOR: '#000',\n        DEFAULT_SHADOW_COLOR: 'rgba(0,0,0,0.1)',\n        DEFAULT_GROUP_FONT: 24,\n\n        WIDGET_BGCOLOR: '#D4D4D4',\n        WIDGET_OUTLINE_COLOR: '#999',\n        WIDGET_TEXT_COLOR: '#222',\n        WIDGET_SECONDARY_TEXT_COLOR: '#555',\n\n        LINK_COLOR: '#4CAF50',\n        EVENT_LINK_COLOR: '#FF9800',\n        CONNECTING_LINK_COLOR: '#2196F3'\n      },\n      comfy_base: {\n        'fg-color': '#222',\n        'bg-color': '#DDD',\n        'comfy-menu-bg': '#F5F5F5',\n        'comfy-input-bg': '#C9C9C9',\n        'input-text': '#222',\n        'descrip-text': '#444',\n        'drag-text': '#555',\n        'error-text': '#F44336',\n        'border-color': '#888',\n        'tr-even-bg-color': '#f9f9f9',\n        'tr-odd-bg-color': '#fff',\n        'content-bg': '#e0e0e0',\n        'content-fg': '#222',\n        'content-hover-bg': '#adadad',\n        'content-hover-fg': '#222'\n      }\n    }\n  },\n  solarized: {\n    id: 'solarized',\n    name: 'Solarized',\n    colors: {\n      node_slot: {\n        CLIP: '#2AB7CA', // light blue\n        CLIP_VISION: '#6c71c4', // blue violet\n        CLIP_VISION_OUTPUT: '#859900', // olive green\n        CONDITIONING: '#d33682', // magenta\n        CONTROL_NET: '#d1ffd7', // light mint green\n        IMAGE: '#5940bb', // deep blue violet\n        LATENT: '#268bd2', // blue\n        MASK: '#CCC9E7', // light purple-gray\n        MODEL: '#dc322f', // red\n        STYLE_MODEL: '#1a998a', // teal\n        UPSCALE_MODEL: '#054A29', // dark green\n        VAE: '#facfad' // light pink-orange\n      },\n      litegraph_base: {\n        NODE_TITLE_COLOR: '#fdf6e3', // Base3\n        NODE_SELECTED_TITLE_COLOR: '#A9D400',\n        NODE_TEXT_SIZE: 14,\n        NODE_TEXT_COLOR: '#657b83', // Base00\n        NODE_SUBTEXT_SIZE: 12,\n        NODE_DEFAULT_COLOR: '#094656',\n        NODE_DEFAULT_BGCOLOR: '#073642', // Base02\n        NODE_DEFAULT_BOXCOLOR: '#839496', // Base0\n        NODE_DEFAULT_SHAPE: 'box',\n        NODE_BOX_OUTLINE_COLOR: '#fdf6e3', // Base3\n        DEFAULT_SHADOW_COLOR: 'rgba(0,0,0,0.5)',\n        DEFAULT_GROUP_FONT: 24,\n\n        WIDGET_BGCOLOR: '#002b36', // Base03\n        WIDGET_OUTLINE_COLOR: '#839496', // Base0\n        WIDGET_TEXT_COLOR: '#fdf6e3', // Base3\n        WIDGET_SECONDARY_TEXT_COLOR: '#93a1a1', // Base1\n\n        LINK_COLOR: '#2aa198', // Solarized Cyan\n        EVENT_LINK_COLOR: '#268bd2', // Solarized Blue\n        CONNECTING_LINK_COLOR: '#859900' // Solarized Green\n      },\n      comfy_base: {\n        'fg-color': '#fdf6e3', // Base3\n        'bg-color': '#002b36', // Base03\n        'comfy-menu-bg': '#073642', // Base02\n        'comfy-input-bg': '#002b36', // Base03\n        'input-text': '#93a1a1', // Base1\n        'descrip-text': '#586e75', // Base01\n        'drag-text': '#839496', // Base0\n        'error-text': '#dc322f', // Solarized Red\n        'border-color': '#657b83', // Base00\n        'tr-even-bg-color': '#002b36',\n        'tr-odd-bg-color': '#073642',\n        'content-bg': '#657b83',\n        'content-fg': '#fdf6e3',\n        'content-hover-bg': '#002b36',\n        'content-hover-fg': '#fdf6e3'\n      }\n    }\n  },\n  arc: {\n    id: 'arc',\n    name: 'Arc',\n    colors: {\n      node_slot: {\n        BOOLEAN: '',\n        CLIP: '#eacb8b',\n        CLIP_VISION: '#A8DADC',\n        CLIP_VISION_OUTPUT: '#ad7452',\n        CONDITIONING: '#cf876f',\n        CONTROL_NET: '#00d78d',\n        CONTROL_NET_WEIGHTS: '',\n        FLOAT: '',\n        GLIGEN: '',\n        IMAGE: '#80a1c0',\n        IMAGEUPLOAD: '',\n        INT: '',\n        LATENT: '#b38ead',\n        LATENT_KEYFRAME: '',\n        MASK: '#a3bd8d',\n        MODEL: '#8978a7',\n        SAMPLER: '',\n        SIGMAS: '',\n        STRING: '',\n        STYLE_MODEL: '#C2FFAE',\n        T2I_ADAPTER_WEIGHTS: '',\n        TAESD: '#DCC274',\n        TIMESTEP_KEYFRAME: '',\n        UPSCALE_MODEL: '',\n        VAE: '#be616b'\n      },\n      litegraph_base: {\n        BACKGROUND_IMAGE:\n          'data:image/png;base64,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',\n        CLEAR_BACKGROUND_COLOR: '#2b2f38',\n        NODE_TITLE_COLOR: '#b2b7bd',\n        NODE_SELECTED_TITLE_COLOR: '#FFF',\n        NODE_TEXT_SIZE: 14,\n        NODE_TEXT_COLOR: '#AAA',\n        NODE_SUBTEXT_SIZE: 12,\n        NODE_DEFAULT_COLOR: '#2b2f38',\n        NODE_DEFAULT_BGCOLOR: '#242730',\n        NODE_DEFAULT_BOXCOLOR: '#6e7581',\n        NODE_DEFAULT_SHAPE: 'box',\n        NODE_BOX_OUTLINE_COLOR: '#FFF',\n        DEFAULT_SHADOW_COLOR: 'rgba(0,0,0,0.5)',\n        DEFAULT_GROUP_FONT: 22,\n        WIDGET_BGCOLOR: '#2b2f38',\n        WIDGET_OUTLINE_COLOR: '#6e7581',\n        WIDGET_TEXT_COLOR: '#DDD',\n        WIDGET_SECONDARY_TEXT_COLOR: '#b2b7bd',\n        LINK_COLOR: '#9A9',\n        EVENT_LINK_COLOR: '#A86',\n        CONNECTING_LINK_COLOR: '#AFA'\n      },\n      comfy_base: {\n        'fg-color': '#fff',\n        'bg-color': '#2b2f38',\n        'comfy-menu-bg': '#242730',\n        'comfy-input-bg': '#2b2f38',\n        'input-text': '#ddd',\n        'descrip-text': '#b2b7bd',\n        'drag-text': '#ccc',\n        'error-text': '#ff4444',\n        'border-color': '#6e7581',\n        'tr-even-bg-color': '#2b2f38',\n        'tr-odd-bg-color': '#242730',\n        'content-bg': '#6e7581',\n        'content-fg': '#fff',\n        'content-hover-bg': '#2b2f38',\n        'content-hover-fg': '#fff'\n      }\n    }\n  },\n  nord: {\n    id: 'nord',\n    name: 'Nord',\n    colors: {\n      node_slot: {\n        BOOLEAN: '',\n        CLIP: '#eacb8b',\n        CLIP_VISION: '#A8DADC',\n        CLIP_VISION_OUTPUT: '#ad7452',\n        CONDITIONING: '#cf876f',\n        CONTROL_NET: '#00d78d',\n        CONTROL_NET_WEIGHTS: '',\n        FLOAT: '',\n        GLIGEN: '',\n        IMAGE: '#80a1c0',\n        IMAGEUPLOAD: '',\n        INT: '',\n        LATENT: '#b38ead',\n        LATENT_KEYFRAME: '',\n        MASK: '#a3bd8d',\n        MODEL: '#8978a7',\n        SAMPLER: '',\n        SIGMAS: '',\n        STRING: '',\n        STYLE_MODEL: '#C2FFAE',\n        T2I_ADAPTER_WEIGHTS: '',\n        TAESD: '#DCC274',\n        TIMESTEP_KEYFRAME: '',\n        UPSCALE_MODEL: '',\n        VAE: '#be616b'\n      },\n      litegraph_base: {\n        BACKGROUND_IMAGE:\n          'data:image/png;base64,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',\n        CLEAR_BACKGROUND_COLOR: '#212732',\n        NODE_TITLE_COLOR: '#999',\n        NODE_SELECTED_TITLE_COLOR: '#e5eaf0',\n        NODE_TEXT_SIZE: 14,\n        NODE_TEXT_COLOR: '#bcc2c8',\n        NODE_SUBTEXT_SIZE: 12,\n        NODE_DEFAULT_COLOR: '#2e3440',\n        NODE_DEFAULT_BGCOLOR: '#161b22',\n        NODE_DEFAULT_BOXCOLOR: '#545d70',\n        NODE_DEFAULT_SHAPE: 'box',\n        NODE_BOX_OUTLINE_COLOR: '#e5eaf0',\n        DEFAULT_SHADOW_COLOR: 'rgba(0,0,0,0.5)',\n        DEFAULT_GROUP_FONT: 24,\n        WIDGET_BGCOLOR: '#2e3440',\n        WIDGET_OUTLINE_COLOR: '#545d70',\n        WIDGET_TEXT_COLOR: '#bcc2c8',\n        WIDGET_SECONDARY_TEXT_COLOR: '#999',\n        LINK_COLOR: '#9A9',\n        EVENT_LINK_COLOR: '#A86',\n        CONNECTING_LINK_COLOR: '#AFA'\n      },\n      comfy_base: {\n        'fg-color': '#e5eaf0',\n        'bg-color': '#2e3440',\n        'comfy-menu-bg': '#161b22',\n        'comfy-input-bg': '#2e3440',\n        'input-text': '#bcc2c8',\n        'descrip-text': '#999',\n        'drag-text': '#ccc',\n        'error-text': '#ff4444',\n        'border-color': '#545d70',\n        'tr-even-bg-color': '#2e3440',\n        'tr-odd-bg-color': '#161b22',\n        'content-bg': '#545d70',\n        'content-fg': '#e5eaf0',\n        'content-hover-bg': '#2e3440',\n        'content-hover-fg': '#e5eaf0'\n      }\n    }\n  },\n  github: {\n    id: 'github',\n    name: 'Github',\n    colors: {\n      node_slot: {\n        BOOLEAN: '',\n        CLIP: '#eacb8b',\n        CLIP_VISION: '#A8DADC',\n        CLIP_VISION_OUTPUT: '#ad7452',\n        CONDITIONING: '#cf876f',\n        CONTROL_NET: '#00d78d',\n        CONTROL_NET_WEIGHTS: '',\n        FLOAT: '',\n        GLIGEN: '',\n        IMAGE: '#80a1c0',\n        IMAGEUPLOAD: '',\n        INT: '',\n        LATENT: '#b38ead',\n        LATENT_KEYFRAME: '',\n        MASK: '#a3bd8d',\n        MODEL: '#8978a7',\n        SAMPLER: '',\n        SIGMAS: '',\n        STRING: '',\n        STYLE_MODEL: '#C2FFAE',\n        T2I_ADAPTER_WEIGHTS: '',\n        TAESD: '#DCC274',\n        TIMESTEP_KEYFRAME: '',\n        UPSCALE_MODEL: '',\n        VAE: '#be616b'\n      },\n      litegraph_base: {\n        BACKGROUND_IMAGE:\n          'data:image/png;base64,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',\n        CLEAR_BACKGROUND_COLOR: '#040506',\n        NODE_TITLE_COLOR: '#999',\n        NODE_SELECTED_TITLE_COLOR: '#e5eaf0',\n        NODE_TEXT_SIZE: 14,\n        NODE_TEXT_COLOR: '#bcc2c8',\n        NODE_SUBTEXT_SIZE: 12,\n        NODE_DEFAULT_COLOR: '#161b22',\n        NODE_DEFAULT_BGCOLOR: '#13171d',\n        NODE_DEFAULT_BOXCOLOR: '#30363d',\n        NODE_DEFAULT_SHAPE: 'box',\n        NODE_BOX_OUTLINE_COLOR: '#e5eaf0',\n        DEFAULT_SHADOW_COLOR: 'rgba(0,0,0,0.5)',\n        DEFAULT_GROUP_FONT: 24,\n        WIDGET_BGCOLOR: '#161b22',\n        WIDGET_OUTLINE_COLOR: '#30363d',\n        WIDGET_TEXT_COLOR: '#bcc2c8',\n        WIDGET_SECONDARY_TEXT_COLOR: '#999',\n        LINK_COLOR: '#9A9',\n        EVENT_LINK_COLOR: '#A86',\n        CONNECTING_LINK_COLOR: '#AFA'\n      },\n      comfy_base: {\n        'fg-color': '#e5eaf0',\n        'bg-color': '#161b22',\n        'comfy-menu-bg': '#13171d',\n        'comfy-input-bg': '#161b22',\n        'input-text': '#bcc2c8',\n        'descrip-text': '#999',\n        'drag-text': '#ccc',\n        'error-text': '#ff4444',\n        'border-color': '#30363d',\n        'tr-even-bg-color': '#161b22',\n        'tr-odd-bg-color': '#13171d',\n        'content-bg': '#30363d',\n        'content-fg': '#e5eaf0',\n        'content-hover-bg': '#161b22',\n        'content-hover-fg': '#e5eaf0'\n      }\n    }\n  }\n}\n\nconst id = 'Comfy.ColorPalette'\nconst idCustomColorPalettes = 'Comfy.CustomColorPalettes'\nconst defaultColorPaletteId = 'dark'\nconst els: { select: HTMLSelectElement | null } = {\n  select: null\n}\n// const ctxMenu = LiteGraph.ContextMenu;\napp.registerExtension({\n  name: id,\n  init() {\n    /**\n     * Changes the background color of the canvas.\n     *\n     * @method updateBackground\n     * @param {image} String\n     * @param {clearBackgroundColor} String\n     */\n    // @ts-expect-error\n    LGraphCanvas.prototype.updateBackground = function (\n      image,\n      clearBackgroundColor\n    ) {\n      this._bg_img = new Image()\n      this._bg_img.name = image\n      this._bg_img.src = image\n      this._bg_img.onload = () => {\n        this.draw(true, true)\n      }\n      this.background_image = image\n\n      this.clear_background = true\n      this.clear_background_color = clearBackgroundColor\n      this._pattern = null\n    }\n  },\n  addCustomNodeDefs(node_defs) {\n    const sortObjectKeys = (unordered) => {\n      return Object.keys(unordered)\n        .sort()\n        .reduce((obj, key) => {\n          obj[key] = unordered[key]\n          return obj\n        }, {})\n    }\n\n    function getSlotTypes() {\n      var types = []\n\n      const defs = node_defs\n      for (const nodeId in defs) {\n        const nodeData = defs[nodeId]\n\n        var inputs = nodeData['input']['required']\n        if (nodeData['input']['optional'] !== undefined) {\n          inputs = Object.assign(\n            {},\n            nodeData['input']['required'],\n            nodeData['input']['optional']\n          )\n        }\n\n        for (const inputName in inputs) {\n          const inputData = inputs[inputName]\n          const type = inputData[0]\n\n          if (!Array.isArray(type)) {\n            types.push(type)\n          }\n        }\n\n        for (const o in nodeData['output']) {\n          const output = nodeData['output'][o]\n          types.push(output)\n        }\n      }\n\n      return types\n    }\n\n    function completeColorPalette(colorPalette) {\n      var types = getSlotTypes()\n\n      for (const type of types) {\n        if (!colorPalette.colors.node_slot[type]) {\n          colorPalette.colors.node_slot[type] = ''\n        }\n      }\n\n      colorPalette.colors.node_slot = sortObjectKeys(\n        colorPalette.colors.node_slot\n      )\n\n      return colorPalette\n    }\n\n    const getColorPaletteTemplate = async () => {\n      let colorPalette = {\n        id: 'my_color_palette_unique_id',\n        name: 'My Color Palette',\n        colors: {\n          node_slot: {},\n          litegraph_base: {},\n          comfy_base: {}\n        }\n      }\n\n      // Copy over missing keys from default color palette\n      const defaultColorPalette = colorPalettes[defaultColorPaletteId]\n      for (const key in defaultColorPalette.colors.litegraph_base) {\n        if (!colorPalette.colors.litegraph_base[key]) {\n          colorPalette.colors.litegraph_base[key] = ''\n        }\n      }\n      for (const key in defaultColorPalette.colors.comfy_base) {\n        if (!colorPalette.colors.comfy_base[key]) {\n          colorPalette.colors.comfy_base[key] = ''\n        }\n      }\n\n      return completeColorPalette(colorPalette)\n    }\n\n    const getCustomColorPalettes = (): ColorPalettes => {\n      return app.ui.settings.getSettingValue(idCustomColorPalettes, {})\n    }\n\n    const setCustomColorPalettes = (customColorPalettes: ColorPalettes) => {\n      return app.ui.settings.setSettingValue(\n        idCustomColorPalettes,\n        customColorPalettes\n      )\n    }\n\n    const addCustomColorPalette = async (colorPalette) => {\n      if (typeof colorPalette !== 'object') {\n        alert('Invalid color palette.')\n        return\n      }\n\n      if (!colorPalette.id) {\n        alert('Color palette missing id.')\n        return\n      }\n\n      if (!colorPalette.name) {\n        alert('Color palette missing name.')\n        return\n      }\n\n      if (!colorPalette.colors) {\n        alert('Color palette missing colors.')\n        return\n      }\n\n      if (\n        colorPalette.colors.node_slot &&\n        typeof colorPalette.colors.node_slot !== 'object'\n      ) {\n        alert('Invalid color palette colors.node_slot.')\n        return\n      }\n\n      const customColorPalettes = getCustomColorPalettes()\n      customColorPalettes[colorPalette.id] = colorPalette\n      setCustomColorPalettes(customColorPalettes)\n\n      for (const option of els.select.childNodes) {\n        if (\n          (option as HTMLOptionElement).value ===\n          'custom_' + colorPalette.id\n        ) {\n          els.select.removeChild(option)\n        }\n      }\n\n      els.select.append(\n        $el('option', {\n          textContent: colorPalette.name + ' (custom)',\n          value: 'custom_' + colorPalette.id,\n          selected: true\n        })\n      )\n\n      setColorPalette('custom_' + colorPalette.id)\n      await loadColorPalette(colorPalette)\n    }\n\n    const deleteCustomColorPalette = async (colorPaletteId) => {\n      const customColorPalettes = getCustomColorPalettes()\n      delete customColorPalettes[colorPaletteId]\n      setCustomColorPalettes(customColorPalettes)\n\n      for (const opt of els.select.childNodes) {\n        const option = opt as HTMLOptionElement\n        if (option.value === defaultColorPaletteId) {\n          option.selected = true\n        }\n\n        if (option.value === 'custom_' + colorPaletteId) {\n          els.select.removeChild(option)\n        }\n      }\n\n      setColorPalette(defaultColorPaletteId)\n      await loadColorPalette(getColorPalette())\n    }\n\n    const loadColorPalette = async (colorPalette: Palette) => {\n      colorPalette = await completeColorPalette(colorPalette)\n      if (colorPalette.colors) {\n        // Sets the colors of node slots and links\n        if (colorPalette.colors.node_slot) {\n          Object.assign(\n            // @ts-expect-error\n            app.canvas.default_connection_color_byType,\n            colorPalette.colors.node_slot\n          )\n          Object.assign(\n            LGraphCanvas.link_type_colors,\n            colorPalette.colors.node_slot\n          )\n        }\n        // Sets the colors of the LiteGraph objects\n        if (colorPalette.colors.litegraph_base) {\n          // Everything updates correctly in the loop, except the Node Title and Link Color for some reason\n          app.canvas.node_title_color =\n            colorPalette.colors.litegraph_base.NODE_TITLE_COLOR\n          app.canvas.default_link_color =\n            colorPalette.colors.litegraph_base.LINK_COLOR\n\n          for (const key in colorPalette.colors.litegraph_base) {\n            if (\n              colorPalette.colors.litegraph_base.hasOwnProperty(key) &&\n              LiteGraph.hasOwnProperty(key)\n            ) {\n              LiteGraph[key] = colorPalette.colors.litegraph_base[key]\n            }\n          }\n        }\n        // Sets the color of ComfyUI elements\n        if (colorPalette.colors.comfy_base) {\n          const rootStyle = document.documentElement.style\n          for (const key in colorPalette.colors.comfy_base) {\n            rootStyle.setProperty(\n              '--' + key,\n              colorPalette.colors.comfy_base[key]\n            )\n          }\n        }\n        app.canvas.draw(true, true)\n      }\n    }\n\n    const getColorPalette = (colorPaletteId?) => {\n      if (!colorPaletteId) {\n        colorPaletteId = app.ui.settings.getSettingValue(\n          id,\n          defaultColorPaletteId\n        )\n      }\n\n      if (colorPaletteId.startsWith('custom_')) {\n        colorPaletteId = colorPaletteId.substr(7)\n        let customColorPalettes = getCustomColorPalettes()\n        if (customColorPalettes[colorPaletteId]) {\n          return customColorPalettes[colorPaletteId]\n        }\n      }\n\n      return colorPalettes[colorPaletteId]\n    }\n\n    const setColorPalette = (colorPaletteId) => {\n      app.ui.settings.setSettingValue(id, colorPaletteId)\n    }\n\n    const fileInput = $el('input', {\n      type: 'file',\n      accept: '.json',\n      style: { display: 'none' },\n      parent: document.body,\n      onchange: () => {\n        const file = fileInput.files[0]\n        if (file.type === 'application/json' || file.name.endsWith('.json')) {\n          const reader = new FileReader()\n          reader.onload = async () => {\n            await addCustomColorPalette(JSON.parse(reader.result as string))\n          }\n          reader.readAsText(file)\n        }\n      }\n    }) as HTMLInputElement\n\n    app.ui.settings.addSetting({\n      id,\n      category: ['Comfy', 'ColorPalette'],\n      name: 'Color Palette',\n      type: (name, setter, value) => {\n        const options = [\n          ...Object.values(colorPalettes).map((c) =>\n            $el('option', {\n              textContent: c.name,\n              value: c.id,\n              selected: c.id === value\n            })\n          ),\n          ...Object.values(getCustomColorPalettes()).map((c) =>\n            $el('option', {\n              textContent: `${c.name} (custom)`,\n              value: `custom_${c.id}`,\n              selected: `custom_${c.id}` === value\n            })\n          )\n        ]\n\n        els.select = $el(\n          'select',\n          {\n            style: {\n              marginBottom: '0.15rem',\n              width: '100%'\n            },\n            onchange: (e) => {\n              setter(e.target.value)\n            }\n          },\n          options\n        ) as HTMLSelectElement\n\n        return $el('tr', [\n          $el('td', [\n            els.select,\n            $el(\n              'div',\n              {\n                style: {\n                  display: 'grid',\n                  gap: '4px',\n                  gridAutoFlow: 'column'\n                }\n              },\n              [\n                $el('input', {\n                  type: 'button',\n                  value: 'Export',\n                  onclick: async () => {\n                    const colorPaletteId = app.ui.settings.getSettingValue(\n                      id,\n                      defaultColorPaletteId\n                    )\n                    const colorPalette = await completeColorPalette(\n                      getColorPalette(colorPaletteId)\n                    )\n                    const json = JSON.stringify(colorPalette, null, 2) // convert the data to a JSON string\n                    const blob = new Blob([json], { type: 'application/json' })\n                    const url = URL.createObjectURL(blob)\n                    const a = $el('a', {\n                      href: url,\n                      download: colorPaletteId + '.json',\n                      style: { display: 'none' },\n                      parent: document.body\n                    })\n                    a.click()\n                    setTimeout(function () {\n                      a.remove()\n                      window.URL.revokeObjectURL(url)\n                    }, 0)\n                  }\n                }),\n                $el('input', {\n                  type: 'button',\n                  value: 'Import',\n                  onclick: () => {\n                    fileInput.click()\n                  }\n                }),\n                $el('input', {\n                  type: 'button',\n                  value: 'Template',\n                  onclick: async () => {\n                    const colorPalette = await getColorPaletteTemplate()\n                    const json = JSON.stringify(colorPalette, null, 2) // convert the data to a JSON string\n                    const blob = new Blob([json], { type: 'application/json' })\n                    const url = URL.createObjectURL(blob)\n                    const a = $el('a', {\n                      href: url,\n                      download: 'color_palette.json',\n                      style: { display: 'none' },\n                      parent: document.body\n                    })\n                    a.click()\n                    setTimeout(function () {\n                      a.remove()\n                      window.URL.revokeObjectURL(url)\n                    }, 0)\n                  }\n                }),\n                $el('input', {\n                  type: 'button',\n                  value: 'Delete',\n                  onclick: async () => {\n                    let colorPaletteId = app.ui.settings.getSettingValue(\n                      id,\n                      defaultColorPaletteId\n                    )\n\n                    if (colorPalettes[colorPaletteId]) {\n                      alert('You cannot delete a built-in color palette.')\n                      return\n                    }\n\n                    if (colorPaletteId.startsWith('custom_')) {\n                      colorPaletteId = colorPaletteId.substr(7)\n                    }\n\n                    await deleteCustomColorPalette(colorPaletteId)\n                  }\n                })\n              ]\n            )\n          ])\n        ])\n      },\n      defaultValue: defaultColorPaletteId,\n      async onChange(value) {\n        if (!value) {\n          return\n        }\n\n        let palette = colorPalettes[value]\n        if (palette) {\n          await loadColorPalette(palette)\n        } else if (value.startsWith('custom_')) {\n          value = value.substr(7)\n          let customColorPalettes = getCustomColorPalettes()\n          if (customColorPalettes[value]) {\n            palette = customColorPalettes[value]\n            await loadColorPalette(customColorPalettes[value])\n          }\n        }\n\n        let { BACKGROUND_IMAGE, CLEAR_BACKGROUND_COLOR } =\n          palette.colors.litegraph_base\n        if (\n          BACKGROUND_IMAGE === undefined ||\n          CLEAR_BACKGROUND_COLOR === undefined\n        ) {\n          const base = colorPalettes['dark'].colors.litegraph_base\n          BACKGROUND_IMAGE = base.BACKGROUND_IMAGE\n          CLEAR_BACKGROUND_COLOR = base.CLEAR_BACKGROUND_COLOR\n        }\n        // @ts-expect-error\n        // litegraph.extensions.js\n        app.canvas.updateBackground(BACKGROUND_IMAGE, CLEAR_BACKGROUND_COLOR)\n      }\n    })\n  }\n})\n","import { LiteGraph, LGraphCanvas } from '@comfyorg/litegraph'\nimport { app } from '../../scripts/app'\n\n// Adds filtering to combo context menus\n\nconst ext = {\n  name: 'Comfy.ContextMenuFilter',\n  init() {\n    const ctxMenu = LiteGraph.ContextMenu\n    // @ts-expect-error\n    // TODO Very hacky way to modify Litegraph behaviour. Fix ctx later.\n    LiteGraph.ContextMenu = function (values, options) {\n      const ctx = new ctxMenu(values, options)\n\n      // If we are a dark menu (only used for combo boxes) then add a filter input\n      if (options?.className === 'dark' && values?.length > 4) {\n        const filter = document.createElement('input')\n        filter.classList.add('comfy-context-menu-filter')\n        filter.placeholder = 'Filter list'\n        ctx.root.prepend(filter)\n\n        const items = Array.from(\n          ctx.root.querySelectorAll('.litemenu-entry')\n        ) as HTMLElement[]\n        let displayedItems = [...items]\n        let itemCount = displayedItems.length\n\n        // We must request an animation frame for the current node of the active canvas to update.\n        requestAnimationFrame(() => {\n          // @ts-expect-error\n          const currentNode = LGraphCanvas.active_canvas.current_node\n          const clickedComboValue = currentNode.widgets\n            ?.filter(\n              (w) =>\n                w.type === 'combo' && w.options.values.length === values.length\n            )\n            .find((w) =>\n              w.options.values.every((v, i) => v === values[i])\n            )?.value\n\n          let selectedIndex = clickedComboValue\n            ? values.findIndex((v) => v === clickedComboValue)\n            : 0\n          if (selectedIndex < 0) {\n            selectedIndex = 0\n          }\n          let selectedItem = displayedItems[selectedIndex]\n          updateSelected()\n\n          // Apply highlighting to the selected item\n          function updateSelected() {\n            selectedItem?.style.setProperty('background-color', '')\n            selectedItem?.style.setProperty('color', '')\n            selectedItem = displayedItems[selectedIndex]\n            selectedItem?.style.setProperty(\n              'background-color',\n              '#ccc',\n              'important'\n            )\n            selectedItem?.style.setProperty('color', '#000', 'important')\n          }\n\n          const positionList = () => {\n            const rect = ctx.root.getBoundingClientRect()\n\n            // If the top is off-screen then shift the element with scaling applied\n            if (rect.top < 0) {\n              const scale =\n                1 -\n                ctx.root.getBoundingClientRect().height / ctx.root.clientHeight\n              const shift = (ctx.root.clientHeight * scale) / 2\n              ctx.root.style.top = -shift + 'px'\n            }\n          }\n\n          // Arrow up/down to select items\n          filter.addEventListener('keydown', (event) => {\n            switch (event.key) {\n              case 'ArrowUp':\n                event.preventDefault()\n                if (selectedIndex === 0) {\n                  selectedIndex = itemCount - 1\n                } else {\n                  selectedIndex--\n                }\n                updateSelected()\n                break\n              case 'ArrowRight':\n                event.preventDefault()\n                selectedIndex = itemCount - 1\n                updateSelected()\n                break\n              case 'ArrowDown':\n                event.preventDefault()\n                if (selectedIndex === itemCount - 1) {\n                  selectedIndex = 0\n                } else {\n                  selectedIndex++\n                }\n                updateSelected()\n                break\n              case 'ArrowLeft':\n                event.preventDefault()\n                selectedIndex = 0\n                updateSelected()\n                break\n              case 'Enter':\n                selectedItem?.click()\n                break\n              case 'Escape':\n                ctx.close()\n                break\n            }\n          })\n\n          filter.addEventListener('input', () => {\n            // Hide all items that don't match our filter\n            const term = filter.value.toLocaleLowerCase()\n            // When filtering, recompute which items are visible for arrow up/down and maintain selection.\n            displayedItems = items.filter((item) => {\n              const isVisible =\n                !term || item.textContent.toLocaleLowerCase().includes(term)\n              item.style.display = isVisible ? 'block' : 'none'\n              return isVisible\n            })\n\n            selectedIndex = 0\n            if (displayedItems.includes(selectedItem)) {\n              selectedIndex = displayedItems.findIndex(\n                (d) => d === selectedItem\n              )\n            }\n            itemCount = displayedItems.length\n\n            updateSelected()\n\n            // If we have an event then we can try and position the list under the source\n            if (options.event) {\n              let top = options.event.clientY - 10\n\n              const bodyRect = document.body.getBoundingClientRect()\n              const rootRect = ctx.root.getBoundingClientRect()\n              if (\n                bodyRect.height &&\n                top > bodyRect.height - rootRect.height - 10\n              ) {\n                top = Math.max(0, bodyRect.height - rootRect.height - 10)\n              }\n\n              ctx.root.style.top = top + 'px'\n              positionList()\n            }\n          })\n\n          requestAnimationFrame(() => {\n            // Focus the filter box when opening\n            filter.focus()\n\n            positionList()\n          })\n        })\n      }\n\n      return ctx\n    }\n\n    LiteGraph.ContextMenu.prototype = ctxMenu.prototype\n  }\n}\n\napp.registerExtension(ext)\n","import { app } from '../../scripts/app'\n\n// Allows for simple dynamic prompt replacement\n// Inputs in the format {a|b} will have a random value of a or b chosen when the prompt is queued.\n\n/*\n * Strips C-style line and block comments from a string\n */\nfunction stripComments(str) {\n  return str.replace(/\\/\\*[\\s\\S]*?\\*\\/|\\/\\/.*/g, '')\n}\n\napp.registerExtension({\n  name: 'Comfy.DynamicPrompts',\n  nodeCreated(node) {\n    if (node.widgets) {\n      // Locate dynamic prompt text widgets\n      // Include any widgets with dynamicPrompts set to true, and customtext\n      const widgets = node.widgets.filter((n) => n.dynamicPrompts)\n      for (const widget of widgets) {\n        // Override the serialization of the value to resolve dynamic prompts for all widgets supporting it in this node\n        widget.serializeValue = (workflowNode, widgetIndex) => {\n          let prompt = stripComments(widget.value)\n          while (\n            prompt.replace('\\\\{', '').includes('{') &&\n            prompt.replace('\\\\}', '').includes('}')\n          ) {\n            const startIndex = prompt.replace('\\\\{', '00').indexOf('{')\n            const endIndex = prompt.replace('\\\\}', '00').indexOf('}')\n\n            const optionsString = prompt.substring(startIndex + 1, endIndex)\n            const options = optionsString.split('|')\n\n            const randomIndex = Math.floor(Math.random() * options.length)\n            const randomOption = options[randomIndex]\n\n            prompt =\n              prompt.substring(0, startIndex) +\n              randomOption +\n              prompt.substring(endIndex + 1)\n          }\n\n          // Overwrite the value in the serialized workflow pnginfo\n          if (workflowNode?.widgets_values)\n            workflowNode.widgets_values[widgetIndex] = prompt\n\n          return prompt\n        }\n      }\n    }\n  }\n})\n","import { app } from '../../scripts/app'\n\n// Allows you to edit the attention weight by holding ctrl (or cmd) and using the up/down arrow keys\n\napp.registerExtension({\n  name: 'Comfy.EditAttention',\n  init() {\n    const editAttentionDelta = app.ui.settings.addSetting({\n      id: 'Comfy.EditAttention.Delta',\n      name: 'Ctrl+up/down precision',\n      type: 'slider',\n      attrs: {\n        min: 0.01,\n        max: 0.5,\n        step: 0.01\n      },\n      defaultValue: 0.05\n    })\n\n    function incrementWeight(weight, delta) {\n      const floatWeight = parseFloat(weight)\n      if (isNaN(floatWeight)) return weight\n      const newWeight = floatWeight + delta\n      return String(Number(newWeight.toFixed(10)))\n    }\n\n    function findNearestEnclosure(text, cursorPos) {\n      let start = cursorPos,\n        end = cursorPos\n      let openCount = 0,\n        closeCount = 0\n\n      // Find opening parenthesis before cursor\n      while (start >= 0) {\n        start--\n        if (text[start] === '(' && openCount === closeCount) break\n        if (text[start] === '(') openCount++\n        if (text[start] === ')') closeCount++\n      }\n      if (start < 0) return false\n\n      openCount = 0\n      closeCount = 0\n\n      // Find closing parenthesis after cursor\n      while (end < text.length) {\n        if (text[end] === ')' && openCount === closeCount) break\n        if (text[end] === '(') openCount++\n        if (text[end] === ')') closeCount++\n        end++\n      }\n      if (end === text.length) return false\n\n      return { start: start + 1, end: end }\n    }\n\n    function addWeightToParentheses(text) {\n      const parenRegex = /^\\((.*)\\)$/\n      const parenMatch = text.match(parenRegex)\n\n      const floatRegex = /:([+-]?(\\d*\\.)?\\d+([eE][+-]?\\d+)?)/\n      const floatMatch = text.match(floatRegex)\n\n      if (parenMatch && !floatMatch) {\n        return `(${parenMatch[1]}:1.0)`\n      } else {\n        return text\n      }\n    }\n\n    function editAttention(event: KeyboardEvent) {\n      // @ts-expect-error Runtime narrowing not impl.\n      const inputField: HTMLTextAreaElement = event.composedPath()[0]\n      const delta = parseFloat(editAttentionDelta.value)\n\n      if (inputField.tagName !== 'TEXTAREA') return\n      if (!(event.key === 'ArrowUp' || event.key === 'ArrowDown')) return\n      if (!event.ctrlKey && !event.metaKey) return\n\n      event.preventDefault()\n\n      let start = inputField.selectionStart\n      let end = inputField.selectionEnd\n      let selectedText = inputField.value.substring(start, end)\n\n      // If there is no selection, attempt to find the nearest enclosure, or select the current word\n      if (!selectedText) {\n        const nearestEnclosure = findNearestEnclosure(inputField.value, start)\n        if (nearestEnclosure) {\n          start = nearestEnclosure.start\n          end = nearestEnclosure.end\n          selectedText = inputField.value.substring(start, end)\n        } else {\n          // Select the current word, find the start and end of the word\n          const delimiters = ' .,\\\\/!?%^*;:{}=-_`~()\\r\\n\\t'\n\n          while (\n            !delimiters.includes(inputField.value[start - 1]) &&\n            start > 0\n          ) {\n            start--\n          }\n\n          while (\n            !delimiters.includes(inputField.value[end]) &&\n            end < inputField.value.length\n          ) {\n            end++\n          }\n\n          selectedText = inputField.value.substring(start, end)\n          if (!selectedText) return\n        }\n      }\n\n      // If the selection ends with a space, remove it\n      if (selectedText[selectedText.length - 1] === ' ') {\n        selectedText = selectedText.substring(0, selectedText.length - 1)\n        end -= 1\n      }\n\n      // If there are parentheses left and right of the selection, select them\n      if (\n        inputField.value[start - 1] === '(' &&\n        inputField.value[end] === ')'\n      ) {\n        start -= 1\n        end += 1\n        selectedText = inputField.value.substring(start, end)\n      }\n\n      // If the selection is not enclosed in parentheses, add them\n      if (\n        selectedText[0] !== '(' ||\n        selectedText[selectedText.length - 1] !== ')'\n      ) {\n        selectedText = `(${selectedText})`\n      }\n\n      // If the selection does not have a weight, add a weight of 1.0\n      selectedText = addWeightToParentheses(selectedText)\n\n      // Increment the weight\n      const weightDelta = event.key === 'ArrowUp' ? delta : -delta\n      const updatedText = selectedText.replace(\n        /\\((.*):([+-]?\\d+(?:\\.\\d+)?)\\)/,\n        (match, text, weight) => {\n          weight = incrementWeight(weight, weightDelta)\n          if (weight == 1) {\n            return text\n          } else {\n            return `(${text}:${weight})`\n          }\n        }\n      )\n\n      inputField.setSelectionRange(start, end)\n      // Intentional use of deprecated: https://developer.mozilla.org/docs/Web/API/Document/execCommand#using_inserttext\n      document.execCommand('insertText', false, updatedText)\n      inputField.setSelectionRange(start, start + updatedText.length)\n    }\n    window.addEventListener('keydown', editAttention)\n  }\n})\n","import { ComfyWidgets, addValueControlWidgets } from '../../scripts/widgets'\nimport { app } from '../../scripts/app'\nimport { applyTextReplacements } from '../../scripts/utils'\nimport { LiteGraph, LGraphNode } from '@comfyorg/litegraph'\nimport type { INodeInputSlot, IWidget } from '@comfyorg/litegraph'\n\nconst CONVERTED_TYPE = 'converted-widget'\nconst VALID_TYPES = ['STRING', 'combo', 'number', 'toggle', 'BOOLEAN']\nconst CONFIG = Symbol()\nconst GET_CONFIG = Symbol()\nconst TARGET = Symbol() // Used for reroutes to specify the real target widget\n\ninterface PrimitiveNode extends LGraphNode {}\n\nconst replacePropertyName = 'Run widget replace on values'\nclass PrimitiveNode extends LGraphNode {\n  controlValues: any[]\n  lastType: string\n  static category: string\n  constructor(title?: string) {\n    super(title)\n    this.addOutput('connect to widget input', '*')\n    this.serialize_widgets = true\n    this.isVirtualNode = true\n\n    if (!this.properties || !(replacePropertyName in this.properties)) {\n      this.addProperty(replacePropertyName, false, 'boolean')\n    }\n  }\n\n  applyToGraph(extraLinks = []) {\n    if (!this.outputs[0].links?.length) return\n\n    function get_links(node) {\n      let links = []\n      for (const l of node.outputs[0].links) {\n        const linkInfo = app.graph.links[l]\n        const n = node.graph.getNodeById(linkInfo.target_id)\n        if (n.type == 'Reroute') {\n          links = links.concat(get_links(n))\n        } else {\n          links.push(l)\n        }\n      }\n      return links\n    }\n\n    let links = [\n      ...get_links(this).map((l) => app.graph.links[l]),\n      ...extraLinks\n    ]\n    let v = this.widgets?.[0].value\n    if (v && this.properties[replacePropertyName]) {\n      v = applyTextReplacements(app, v)\n    }\n\n    // For each output link copy our value over the original widget value\n    for (const linkInfo of links) {\n      const node = this.graph.getNodeById(linkInfo.target_id)\n      const input = node.inputs[linkInfo.target_slot]\n      let widget\n      if (input.widget[TARGET]) {\n        widget = input.widget[TARGET]\n      } else {\n        const widgetName = (input.widget as { name: string }).name\n        if (widgetName) {\n          widget = node.widgets.find((w) => w.name === widgetName)\n        }\n      }\n\n      if (widget) {\n        widget.value = v\n        if (widget.callback) {\n          widget.callback(\n            widget.value,\n            app.canvas,\n            node,\n            app.canvas.graph_mouse,\n            {}\n          )\n        }\n      }\n    }\n  }\n\n  refreshComboInNode() {\n    const widget = this.widgets?.[0]\n    if (widget?.type === 'combo') {\n      widget.options.values = this.outputs[0].widget[GET_CONFIG]()[0]\n\n      if (!widget.options.values.includes(widget.value)) {\n        widget.value = widget.options.values[0]\n        ;(widget.callback as Function)(widget.value)\n      }\n    }\n  }\n\n  onAfterGraphConfigured() {\n    if (this.outputs[0].links?.length && !this.widgets?.length) {\n      // TODO: Review this check\n      // @ts-expect-error\n      if (!this.#onFirstConnection()) return\n\n      // Populate widget values from config data\n      if (this.widgets) {\n        for (let i = 0; i < this.widgets_values.length; i++) {\n          const w = this.widgets[i]\n          if (w) {\n            w.value = this.widgets_values[i]\n          }\n        }\n      }\n\n      // Merge values if required\n      this.#mergeWidgetConfig()\n    }\n  }\n\n  onConnectionsChange(_, index, connected) {\n    if (app.configuringGraph) {\n      // Dont run while the graph is still setting up\n      return\n    }\n\n    const links = this.outputs[0].links\n    if (connected) {\n      if (links?.length && !this.widgets?.length) {\n        this.#onFirstConnection()\n      }\n    } else {\n      // We may have removed a link that caused the constraints to change\n      this.#mergeWidgetConfig()\n\n      if (!links?.length) {\n        this.onLastDisconnect()\n      }\n    }\n  }\n\n  onConnectOutput(slot, type, input, target_node, target_slot) {\n    // Fires before the link is made allowing us to reject it if it isn't valid\n    // No widget, we cant connect\n    if (!input.widget) {\n      if (!(input.type in ComfyWidgets)) return false\n    }\n\n    if (this.outputs[slot].links?.length) {\n      const valid = this.#isValidConnection(input)\n      if (valid) {\n        // On connect of additional outputs, copy our value to their widget\n        this.applyToGraph([{ target_id: target_node.id, target_slot }])\n      }\n      return valid\n    }\n  }\n\n  #onFirstConnection(recreating?: boolean) {\n    // First connection can fire before the graph is ready on initial load so random things can be missing\n    if (!this.outputs[0].links) {\n      this.onLastDisconnect()\n      return\n    }\n    const linkId = this.outputs[0].links[0]\n    const link = this.graph.links[linkId]\n    if (!link) return\n\n    const theirNode = this.graph.getNodeById(link.target_id)\n    if (!theirNode || !theirNode.inputs) return\n\n    const input = theirNode.inputs[link.target_slot]\n    if (!input) return\n\n    let widget\n    if (!input.widget) {\n      if (!(input.type in ComfyWidgets)) return\n      widget = { name: input.name, [GET_CONFIG]: () => [input.type, {}] } //fake widget\n    } else {\n      widget = input.widget\n    }\n\n    const config = widget[GET_CONFIG]?.()\n    if (!config) return\n\n    const { type } = getWidgetType(config)\n    // Update our output to restrict to the widget type\n    this.outputs[0].type = type\n    this.outputs[0].name = type\n    this.outputs[0].widget = widget\n\n    this.#createWidget(\n      widget[CONFIG] ?? config,\n      theirNode,\n      widget.name,\n      recreating,\n      widget[TARGET]\n    )\n  }\n\n  #createWidget(inputData, node, widgetName, recreating, targetWidget) {\n    let type = inputData[0]\n\n    if (type instanceof Array) {\n      type = 'COMBO'\n    }\n\n    // Store current size as addWidget resizes the node\n    const size = this.size\n    let widget\n    if (type in ComfyWidgets) {\n      widget = (ComfyWidgets[type](this, 'value', inputData, app) || {}).widget\n    } else {\n      widget = this.addWidget(type, 'value', null, () => {}, {})\n    }\n\n    if (targetWidget) {\n      widget.value = targetWidget.value\n    } else if (node?.widgets && widget) {\n      const theirWidget = node.widgets.find((w) => w.name === widgetName)\n      if (theirWidget) {\n        widget.value = theirWidget.value\n      }\n    }\n\n    if (\n      !inputData?.[1]?.control_after_generate &&\n      (widget.type === 'number' || widget.type === 'combo')\n    ) {\n      let control_value = this.widgets_values?.[1]\n      if (!control_value) {\n        control_value = 'fixed'\n      }\n      addValueControlWidgets(\n        this,\n        widget,\n        control_value as string,\n        undefined,\n        inputData\n      )\n      let filter = this.widgets_values?.[2]\n      if (filter && this.widgets.length === 3) {\n        this.widgets[2].value = filter\n      }\n    }\n\n    // Restore any saved control values\n    const controlValues = this.controlValues\n    if (\n      this.lastType === this.widgets[0].type &&\n      controlValues?.length === this.widgets.length - 1\n    ) {\n      for (let i = 0; i < controlValues.length; i++) {\n        this.widgets[i + 1].value = controlValues[i]\n      }\n    }\n\n    // When our value changes, update other widgets to reflect our changes\n    // e.g. so LoadImage shows correct image\n    const callback = widget.callback\n    const self = this\n    widget.callback = function () {\n      const r = callback ? callback.apply(this, arguments) : undefined\n      self.applyToGraph()\n      return r\n    }\n\n    // Use the biggest dimensions in case the widgets caused the node to grow\n    this.size = [\n      Math.max(this.size[0], size[0]),\n      Math.max(this.size[1], size[1])\n    ]\n\n    if (!recreating) {\n      // Grow our node more if required\n      const sz = this.computeSize()\n      if (this.size[0] < sz[0]) {\n        this.size[0] = sz[0]\n      }\n      if (this.size[1] < sz[1]) {\n        this.size[1] = sz[1]\n      }\n\n      requestAnimationFrame(() => {\n        if (this.onResize) {\n          this.onResize(this.size)\n        }\n      })\n    }\n  }\n\n  recreateWidget() {\n    const values = this.widgets?.map((w) => w.value)\n    this.#removeWidgets()\n    this.#onFirstConnection(true)\n    if (values?.length) {\n      for (let i = 0; i < this.widgets?.length; i++)\n        this.widgets[i].value = values[i]\n    }\n    return this.widgets?.[0]\n  }\n\n  #mergeWidgetConfig() {\n    // Merge widget configs if the node has multiple outputs\n    const output = this.outputs[0]\n    const links = output.links\n\n    const hasConfig = !!output.widget[CONFIG]\n    if (hasConfig) {\n      delete output.widget[CONFIG]\n    }\n\n    if (links?.length < 2 && hasConfig) {\n      // Copy the widget options from the source\n      if (links.length) {\n        this.recreateWidget()\n      }\n\n      return\n    }\n\n    const config1 = output.widget[GET_CONFIG]()\n    const isNumber = config1[0] === 'INT' || config1[0] === 'FLOAT'\n    if (!isNumber) return\n\n    for (const linkId of links) {\n      const link = app.graph.links[linkId]\n      if (!link) continue // Can be null when removing a node\n\n      const theirNode = app.graph.getNodeById(link.target_id)\n      const theirInput = theirNode.inputs[link.target_slot]\n\n      // Call is valid connection so it can merge the configs when validating\n      this.#isValidConnection(theirInput, hasConfig)\n    }\n  }\n\n  #isValidConnection(input: INodeInputSlot, forceUpdate?: boolean) {\n    // Only allow connections where the configs match\n    const output = this.outputs[0]\n    const config2 = input.widget[GET_CONFIG]()\n    return !!mergeIfValid.call(\n      this,\n      output,\n      config2,\n      forceUpdate,\n      this.recreateWidget\n    )\n  }\n\n  #removeWidgets() {\n    if (this.widgets) {\n      // Allow widgets to cleanup\n      for (const w of this.widgets) {\n        if (w.onRemove) {\n          w.onRemove()\n        }\n      }\n\n      // Temporarily store the current values in case the node is being recreated\n      // e.g. by group node conversion\n      this.controlValues = []\n      this.lastType = this.widgets[0]?.type\n      for (let i = 1; i < this.widgets.length; i++) {\n        this.controlValues.push(this.widgets[i].value)\n      }\n      setTimeout(() => {\n        delete this.lastType\n        delete this.controlValues\n      }, 15)\n      this.widgets.length = 0\n    }\n  }\n\n  onLastDisconnect() {\n    // We cant remove + re-add the output here as if you drag a link over the same link\n    // it removes, then re-adds, causing it to break\n    this.outputs[0].type = '*'\n    this.outputs[0].name = 'connect to widget input'\n    delete this.outputs[0].widget\n\n    this.#removeWidgets()\n  }\n}\n\nexport function getWidgetConfig(slot) {\n  return slot.widget[CONFIG] ?? slot.widget[GET_CONFIG]()\n}\n\nfunction getConfig(widgetName) {\n  const { nodeData } = this.constructor\n  return (\n    nodeData?.input?.required?.[widgetName] ??\n    nodeData?.input?.optional?.[widgetName]\n  )\n}\n\nfunction isConvertibleWidget(widget, config) {\n  return (\n    (VALID_TYPES.includes(widget.type) || VALID_TYPES.includes(config[0])) &&\n    !widget.options?.forceInput\n  )\n}\n\nfunction hideWidget(node, widget, suffix = '') {\n  if (widget.type?.startsWith(CONVERTED_TYPE)) return\n  widget.origType = widget.type\n  widget.origComputeSize = widget.computeSize\n  widget.origSerializeValue = widget.serializeValue\n  widget.computeSize = () => [0, -4] // -4 is due to the gap litegraph adds between widgets automatically\n  widget.type = CONVERTED_TYPE + suffix\n  widget.serializeValue = () => {\n    // Prevent serializing the widget if we have no input linked\n    if (!node.inputs) {\n      return undefined\n    }\n    let node_input = node.inputs.find((i) => i.widget?.name === widget.name)\n\n    if (!node_input || !node_input.link) {\n      return undefined\n    }\n    return widget.origSerializeValue\n      ? widget.origSerializeValue()\n      : widget.value\n  }\n\n  // Hide any linked widgets, e.g. seed+seedControl\n  if (widget.linkedWidgets) {\n    for (const w of widget.linkedWidgets) {\n      hideWidget(node, w, ':' + widget.name)\n    }\n  }\n}\n\nfunction showWidget(widget) {\n  widget.type = widget.origType\n  widget.computeSize = widget.origComputeSize\n  widget.serializeValue = widget.origSerializeValue\n\n  delete widget.origType\n  delete widget.origComputeSize\n  delete widget.origSerializeValue\n\n  // Hide any linked widgets, e.g. seed+seedControl\n  if (widget.linkedWidgets) {\n    for (const w of widget.linkedWidgets) {\n      showWidget(w)\n    }\n  }\n}\n\nfunction convertToInput(node, widget, config) {\n  hideWidget(node, widget)\n\n  const { type } = getWidgetType(config)\n\n  // Add input and store widget config for creating on primitive node\n  const sz = node.size\n  node.addInput(widget.name, type, {\n    widget: { name: widget.name, [GET_CONFIG]: () => config }\n  })\n\n  for (const widget of node.widgets) {\n    widget.last_y += LiteGraph.NODE_SLOT_HEIGHT\n  }\n\n  // Restore original size but grow if needed\n  node.setSize([Math.max(sz[0], node.size[0]), Math.max(sz[1], node.size[1])])\n}\n\nfunction convertToWidget(node, widget) {\n  showWidget(widget)\n  const sz = node.size\n  node.removeInput(node.inputs.findIndex((i) => i.widget?.name === widget.name))\n\n  for (const widget of node.widgets) {\n    widget.last_y -= LiteGraph.NODE_SLOT_HEIGHT\n  }\n\n  // Restore original size but grow if needed\n  node.setSize([Math.max(sz[0], node.size[0]), Math.max(sz[1], node.size[1])])\n}\n\nfunction getWidgetType(config) {\n  // Special handling for COMBO so we restrict links based on the entries\n  let type = config[0]\n  if (type instanceof Array) {\n    type = 'COMBO'\n  }\n  return { type }\n}\n\nfunction isValidCombo(combo, obj) {\n  // New input isnt a combo\n  if (!(obj instanceof Array)) {\n    console.log(`connection rejected: tried to connect combo to ${obj}`)\n    return false\n  }\n  // New input combo has a different size\n  if (combo.length !== obj.length) {\n    console.log(`connection rejected: combo lists dont match`)\n    return false\n  }\n  // New input combo has different elements\n  if (combo.find((v, i) => obj[i] !== v)) {\n    console.log(`connection rejected: combo lists dont match`)\n    return false\n  }\n\n  return true\n}\n\nfunction isPrimitiveNode(node: LGraphNode): node is PrimitiveNode {\n  return node.type === 'PrimitiveNode'\n}\n\nexport function setWidgetConfig(slot, config, target?: IWidget) {\n  if (!slot.widget) return\n  if (config) {\n    slot.widget[GET_CONFIG] = () => config\n    slot.widget[TARGET] = target\n  } else {\n    delete slot.widget\n  }\n\n  if (slot.link) {\n    const link = app.graph.links[slot.link]\n    if (link) {\n      const originNode = app.graph.getNodeById(link.origin_id)\n      if (isPrimitiveNode(originNode)) {\n        if (config) {\n          originNode.recreateWidget()\n        } else if (!app.configuringGraph) {\n          originNode.disconnectOutput(0)\n          originNode.onLastDisconnect()\n        }\n      }\n    }\n  }\n}\n\nexport function mergeIfValid(\n  output,\n  config2,\n  forceUpdate?: boolean,\n  recreateWidget?: () => void,\n  config1?: unknown\n) {\n  if (!config1) {\n    config1 = output.widget[CONFIG] ?? output.widget[GET_CONFIG]()\n  }\n\n  if (config1[0] instanceof Array) {\n    if (!isValidCombo(config1[0], config2[0])) return\n  } else if (config1[0] !== config2[0]) {\n    // Types dont match\n    console.log(`connection rejected: types dont match`, config1[0], config2[0])\n    return\n  }\n\n  const keys = new Set([\n    ...Object.keys(config1[1] ?? {}),\n    ...Object.keys(config2[1] ?? {})\n  ])\n\n  let customConfig\n  const getCustomConfig = () => {\n    if (!customConfig) {\n      if (typeof structuredClone === 'undefined') {\n        customConfig = JSON.parse(JSON.stringify(config1[1] ?? {}))\n      } else {\n        customConfig = structuredClone(config1[1] ?? {})\n      }\n    }\n    return customConfig\n  }\n\n  const isNumber = config1[0] === 'INT' || config1[0] === 'FLOAT'\n  for (const k of keys.values()) {\n    if (\n      k !== 'default' &&\n      k !== 'forceInput' &&\n      k !== 'defaultInput' &&\n      k !== 'control_after_generate' &&\n      k !== 'multiline' &&\n      k !== 'tooltip'\n    ) {\n      let v1 = config1[1][k]\n      let v2 = config2[1]?.[k]\n\n      if (v1 === v2 || (!v1 && !v2)) continue\n\n      if (isNumber) {\n        if (k === 'min') {\n          const theirMax = config2[1]?.['max']\n          if (theirMax != null && v1 > theirMax) {\n            console.log('connection rejected: min > max', v1, theirMax)\n            return\n          }\n          getCustomConfig()[k] =\n            v1 == null ? v2 : v2 == null ? v1 : Math.max(v1, v2)\n          continue\n        } else if (k === 'max') {\n          const theirMin = config2[1]?.['min']\n          if (theirMin != null && v1 < theirMin) {\n            console.log('connection rejected: max < min', v1, theirMin)\n            return\n          }\n          getCustomConfig()[k] =\n            v1 == null ? v2 : v2 == null ? v1 : Math.min(v1, v2)\n          continue\n        } else if (k === 'step') {\n          let step\n          if (v1 == null) {\n            // No current step\n            step = v2\n          } else if (v2 == null) {\n            // No new step\n            step = v1\n          } else {\n            if (v1 < v2) {\n              // Ensure v1 is larger for the mod\n              const a = v2\n              v2 = v1\n              v1 = a\n            }\n            if (v1 % v2) {\n              console.log(\n                'connection rejected: steps not divisible',\n                'current:',\n                v1,\n                'new:',\n                v2\n              )\n              return\n            }\n\n            step = v1\n          }\n\n          getCustomConfig()[k] = step\n          continue\n        }\n      }\n\n      console.log(`connection rejected: config ${k} values dont match`, v1, v2)\n      return\n    }\n  }\n\n  if (customConfig || forceUpdate) {\n    if (customConfig) {\n      output.widget[CONFIG] = [config1[0], customConfig]\n    }\n\n    const widget = recreateWidget?.call(this)\n    // When deleting a node this can be null\n    if (widget) {\n      const min = widget.options.min\n      const max = widget.options.max\n      if (min != null && widget.value < min) widget.value = min\n      if (max != null && widget.value > max) widget.value = max\n      widget.callback(widget.value)\n    }\n  }\n\n  return { customConfig }\n}\n\nlet useConversionSubmenusSetting\napp.registerExtension({\n  name: 'Comfy.WidgetInputs',\n  init() {\n    useConversionSubmenusSetting = app.ui.settings.addSetting({\n      id: 'Comfy.NodeInputConversionSubmenus',\n      name: 'In the node context menu, place the entries that convert between input/widget in sub-menus.',\n      type: 'boolean',\n      defaultValue: true\n    })\n  },\n  async beforeRegisterNodeDef(nodeType, nodeData, app) {\n    // Add menu options to convert to/from widgets\n    const origGetExtraMenuOptions = nodeType.prototype.getExtraMenuOptions\n    nodeType.prototype.convertWidgetToInput = function (widget) {\n      const config = getConfig.call(this, widget.name) ?? [\n        widget.type,\n        widget.options || {}\n      ]\n      if (!isConvertibleWidget(widget, config)) return false\n      convertToInput(this, widget, config)\n      return true\n    }\n    nodeType.prototype.getExtraMenuOptions = function (_, options) {\n      const r = origGetExtraMenuOptions\n        ? origGetExtraMenuOptions.apply(this, arguments)\n        : undefined\n\n      if (this.widgets) {\n        let toInput = []\n        let toWidget = []\n        for (const w of this.widgets) {\n          if (w.options?.forceInput) {\n            continue\n          }\n          if (w.type === CONVERTED_TYPE) {\n            toWidget.push({\n              content: `Convert ${w.name} to widget`,\n              callback: () => convertToWidget(this, w)\n            })\n          } else {\n            const config = getConfig.call(this, w.name) ?? [\n              w.type,\n              w.options || {}\n            ]\n            if (isConvertibleWidget(w, config)) {\n              toInput.push({\n                content: `Convert ${w.name} to input`,\n                callback: () => convertToInput(this, w, config)\n              })\n            }\n          }\n        }\n\n        //Convert.. main menu\n        if (toInput.length) {\n          if (useConversionSubmenusSetting.value) {\n            options.push({\n              content: 'Convert Widget to Input',\n              submenu: {\n                options: toInput\n              }\n            })\n          } else {\n            options.push(...toInput, null)\n          }\n        }\n        if (toWidget.length) {\n          if (useConversionSubmenusSetting.value) {\n            options.push({\n              content: 'Convert Input to Widget',\n              submenu: {\n                options: toWidget\n              }\n            })\n          } else {\n            options.push(...toWidget, null)\n          }\n        }\n      }\n\n      return r\n    }\n\n    nodeType.prototype.onGraphConfigured = function () {\n      if (!this.inputs) return\n\n      for (const input of this.inputs) {\n        if (input.widget) {\n          if (!input.widget[GET_CONFIG]) {\n            input.widget[GET_CONFIG] = () =>\n              getConfig.call(this, input.widget.name)\n          }\n\n          // Cleanup old widget config\n          if (input.widget.config) {\n            if (input.widget.config[0] instanceof Array) {\n              // If we are an old converted combo then replace the input type and the stored link data\n              input.type = 'COMBO'\n\n              const link = app.graph.links[input.link]\n              if (link) {\n                link.type = input.type\n              }\n            }\n            delete input.widget.config\n          }\n\n          const w = this.widgets.find((w) => w.name === input.widget.name)\n          if (w) {\n            hideWidget(this, w)\n          } else {\n            convertToWidget(this, input)\n          }\n        }\n      }\n    }\n\n    const origOnNodeCreated = nodeType.prototype.onNodeCreated\n    nodeType.prototype.onNodeCreated = function () {\n      const r = origOnNodeCreated ? origOnNodeCreated.apply(this) : undefined\n\n      // When node is created, convert any force/default inputs\n      if (!app.configuringGraph && this.widgets) {\n        for (const w of this.widgets) {\n          if (w?.options?.forceInput || w?.options?.defaultInput) {\n            const config = getConfig.call(this, w.name) ?? [\n              w.type,\n              w.options || {}\n            ]\n            convertToInput(this, w, config)\n          }\n        }\n      }\n\n      return r\n    }\n\n    const origOnConfigure = nodeType.prototype.onConfigure\n    nodeType.prototype.onConfigure = function () {\n      const r = origOnConfigure\n        ? origOnConfigure.apply(this, arguments)\n        : undefined\n      if (!app.configuringGraph && this.inputs) {\n        // On copy + paste of nodes, ensure that widget configs are set up\n        for (const input of this.inputs) {\n          if (input.widget && !input.widget[GET_CONFIG]) {\n            input.widget[GET_CONFIG] = () =>\n              getConfig.call(this, input.widget.name)\n            const w = this.widgets.find((w) => w.name === input.widget.name)\n            if (w) {\n              hideWidget(this, w)\n            }\n          }\n        }\n      }\n\n      return r\n    }\n\n    function isNodeAtPos(pos) {\n      for (const n of app.graph._nodes) {\n        if (n.pos[0] === pos[0] && n.pos[1] === pos[1]) {\n          return true\n        }\n      }\n      return false\n    }\n\n    // Double click a widget input to automatically attach a primitive\n    const origOnInputDblClick = nodeType.prototype.onInputDblClick\n    const ignoreDblClick = Symbol()\n    nodeType.prototype.onInputDblClick = function (slot) {\n      const r = origOnInputDblClick\n        ? origOnInputDblClick.apply(this, arguments)\n        : undefined\n\n      const input = this.inputs[slot]\n      if (!input.widget || !input[ignoreDblClick]) {\n        // Not a widget input or already handled input\n        if (\n          !(input.type in ComfyWidgets) &&\n          !(input.widget[GET_CONFIG]?.()?.[0] instanceof Array)\n        ) {\n          return r //also Not a ComfyWidgets input or combo (do nothing)\n        }\n      }\n\n      // Create a primitive node\n      const node = LiteGraph.createNode('PrimitiveNode')\n      app.graph.add(node)\n\n      // Calculate a position that wont directly overlap another node\n      const pos: [number, number] = [\n        this.pos[0] - node.size[0] - 30,\n        this.pos[1]\n      ]\n      while (isNodeAtPos(pos)) {\n        pos[1] += LiteGraph.NODE_TITLE_HEIGHT\n      }\n\n      node.pos = pos\n      node.connect(0, this, slot)\n      node.title = input.name\n\n      // Prevent adding duplicates due to triple clicking\n      input[ignoreDblClick] = true\n      setTimeout(() => {\n        delete input[ignoreDblClick]\n      }, 300)\n\n      return r\n    }\n\n    // Prevent connecting COMBO lists to converted inputs that dont match types\n    const onConnectInput = nodeType.prototype.onConnectInput\n    nodeType.prototype.onConnectInput = function (\n      targetSlot,\n      type,\n      output,\n      originNode,\n      originSlot\n    ) {\n      const v = onConnectInput?.(this, arguments)\n      // Not a combo, ignore\n      if (type !== 'COMBO') return v\n      // Primitive output, allow that to handle\n      if (originNode.outputs[originSlot].widget) return v\n\n      // Ensure target is also a combo\n      const targetCombo = this.inputs[targetSlot].widget?.[GET_CONFIG]?.()?.[0]\n      if (!targetCombo || !(targetCombo instanceof Array)) return v\n\n      // Check they match\n      const originConfig =\n        originNode.constructor?.nodeData?.output?.[originSlot]\n      if (!originConfig || !isValidCombo(targetCombo, originConfig)) {\n        return false\n      }\n\n      return v\n    }\n  },\n  registerCustomNodes() {\n    LiteGraph.registerNodeType(\n      'PrimitiveNode',\n      Object.assign(PrimitiveNode, {\n        title: 'Primitive'\n      })\n    )\n    PrimitiveNode.category = 'utils'\n  }\n})\n","import { $el, ComfyDialog } from '../../scripts/ui'\nimport { DraggableList } from '../../scripts/ui/draggableList'\nimport { GroupNodeConfig, GroupNodeHandler } from './groupNode'\nimport './groupNodeManage.css'\nimport { app, type ComfyApp } from '../../scripts/app'\nimport {\n  LiteGraph,\n  type LGraphNode,\n  type LGraphNodeConstructor\n} from '@comfyorg/litegraph'\n\nconst ORDER: symbol = Symbol()\n\nfunction merge(target, source) {\n  if (typeof target === 'object' && typeof source === 'object') {\n    for (const key in source) {\n      const sv = source[key]\n      if (typeof sv === 'object') {\n        let tv = target[key]\n        if (!tv) tv = target[key] = {}\n        merge(tv, source[key])\n      } else {\n        target[key] = sv\n      }\n    }\n  }\n\n  return target\n}\n\nexport class ManageGroupDialog extends ComfyDialog<HTMLDialogElement> {\n  tabs: Record<\n    'Inputs' | 'Outputs' | 'Widgets',\n    { tab: HTMLAnchorElement; page: HTMLElement }\n  >\n  selectedNodeIndex: number | null | undefined\n  selectedTab: keyof ManageGroupDialog['tabs'] = 'Inputs'\n  selectedGroup: string | undefined\n  modifications: Record<\n    string,\n    Record<\n      string,\n      Record<\n        string,\n        { name?: string | undefined; visible?: boolean | undefined }\n      >\n    >\n  > = {}\n  nodeItems: any[]\n  app: ComfyApp\n  groupNodeType: LGraphNodeConstructor<LGraphNode>\n  groupNodeDef: any\n  groupData: any\n\n  innerNodesList: HTMLUListElement\n  widgetsPage: HTMLElement\n  inputsPage: HTMLElement\n  outputsPage: HTMLElement\n  draggable: any\n\n  get selectedNodeInnerIndex() {\n    return +this.nodeItems[this.selectedNodeIndex].dataset.nodeindex\n  }\n\n  constructor(app) {\n    super()\n    this.app = app\n    this.element = $el('dialog.comfy-group-manage', {\n      parent: document.body\n    }) as HTMLDialogElement\n  }\n\n  changeTab(tab) {\n    this.tabs[this.selectedTab].tab.classList.remove('active')\n    this.tabs[this.selectedTab].page.classList.remove('active')\n    this.tabs[tab].tab.classList.add('active')\n    this.tabs[tab].page.classList.add('active')\n    this.selectedTab = tab\n  }\n\n  changeNode(index, force?) {\n    if (!force && this.selectedNodeIndex === index) return\n\n    if (this.selectedNodeIndex != null) {\n      this.nodeItems[this.selectedNodeIndex].classList.remove('selected')\n    }\n    this.nodeItems[index].classList.add('selected')\n    this.selectedNodeIndex = index\n\n    if (!this.buildInputsPage() && this.selectedTab === 'Inputs') {\n      this.changeTab('Widgets')\n    }\n    if (!this.buildWidgetsPage() && this.selectedTab === 'Widgets') {\n      this.changeTab('Outputs')\n    }\n    if (!this.buildOutputsPage() && this.selectedTab === 'Outputs') {\n      this.changeTab('Inputs')\n    }\n\n    this.changeTab(this.selectedTab)\n  }\n\n  getGroupData() {\n    this.groupNodeType =\n      LiteGraph.registered_node_types['workflow/' + this.selectedGroup]\n    this.groupNodeDef = this.groupNodeType.nodeData\n    this.groupData = GroupNodeHandler.getGroupData(this.groupNodeType)\n  }\n\n  changeGroup(group, reset = true) {\n    this.selectedGroup = group\n    this.getGroupData()\n\n    const nodes = this.groupData.nodeData.nodes\n    this.nodeItems = nodes.map((n, i) =>\n      $el(\n        'li.draggable-item',\n        {\n          dataset: {\n            nodeindex: n.index + ''\n          },\n          onclick: () => {\n            this.changeNode(i)\n          }\n        },\n        [\n          $el('span.drag-handle'),\n          $el(\n            'div',\n            {\n              textContent: n.title ?? n.type\n            },\n            n.title\n              ? $el('span', {\n                  textContent: n.type\n                })\n              : []\n          )\n        ]\n      )\n    )\n\n    this.innerNodesList.replaceChildren(...this.nodeItems)\n\n    if (reset) {\n      this.selectedNodeIndex = null\n      this.changeNode(0)\n    } else {\n      const items = this.draggable.getAllItems()\n      let index = items.findIndex((item) => item.classList.contains('selected'))\n      if (index === -1) index = this.selectedNodeIndex\n      this.changeNode(index, true)\n    }\n\n    const ordered = [...nodes]\n    this.draggable?.dispose()\n    this.draggable = new DraggableList(this.innerNodesList, 'li')\n    this.draggable.addEventListener(\n      'dragend',\n      ({ detail: { oldPosition, newPosition } }) => {\n        if (oldPosition === newPosition) return\n        ordered.splice(newPosition, 0, ordered.splice(oldPosition, 1)[0])\n        for (let i = 0; i < ordered.length; i++) {\n          this.storeModification({\n            nodeIndex: ordered[i].index,\n            section: ORDER,\n            prop: 'order',\n            value: i\n          })\n        }\n      }\n    )\n  }\n\n  storeModification(props: {\n    nodeIndex?: number\n    section: symbol\n    prop: string\n    value: any\n  }) {\n    const { nodeIndex, section, prop, value } = props\n    const groupMod = (this.modifications[this.selectedGroup] ??= {})\n    const nodesMod = (groupMod.nodes ??= {})\n    const nodeMod = (nodesMod[nodeIndex ?? this.selectedNodeInnerIndex] ??= {})\n    const typeMod = (nodeMod[section] ??= {})\n    if (typeof value === 'object') {\n      const objMod = (typeMod[prop] ??= {})\n      Object.assign(objMod, value)\n    } else {\n      typeMod[prop] = value\n    }\n  }\n\n  getEditElement(section, prop, value, placeholder, checked, checkable = true) {\n    if (value === placeholder) value = ''\n\n    const mods =\n      this.modifications[this.selectedGroup]?.nodes?.[\n        this.selectedNodeInnerIndex\n      ]?.[section]?.[prop]\n    if (mods) {\n      if (mods.name != null) {\n        value = mods.name\n      }\n      if (mods.visible != null) {\n        checked = mods.visible\n      }\n    }\n\n    return $el('div', [\n      $el('input', {\n        value,\n        placeholder,\n        type: 'text',\n        onchange: (e) => {\n          this.storeModification({\n            section,\n            prop,\n            value: { name: e.target.value }\n          })\n        }\n      }),\n      $el('label', { textContent: 'Visible' }, [\n        $el('input', {\n          type: 'checkbox',\n          checked,\n          disabled: !checkable,\n          onchange: (e) => {\n            this.storeModification({\n              section,\n              prop,\n              value: { visible: !!e.target.checked }\n            })\n          }\n        })\n      ])\n    ])\n  }\n\n  buildWidgetsPage() {\n    const widgets =\n      this.groupData.oldToNewWidgetMap[this.selectedNodeInnerIndex]\n    const items = Object.keys(widgets ?? {})\n    const type = app.graph.extra.groupNodes[this.selectedGroup]\n    const config = type.config?.[this.selectedNodeInnerIndex]?.input\n    this.widgetsPage.replaceChildren(\n      ...items.map((oldName) => {\n        return this.getEditElement(\n          'input',\n          oldName,\n          widgets[oldName],\n          oldName,\n          config?.[oldName]?.visible !== false\n        )\n      })\n    )\n    return !!items.length\n  }\n\n  buildInputsPage() {\n    const inputs = this.groupData.nodeInputs[this.selectedNodeInnerIndex]\n    const items = Object.keys(inputs ?? {})\n    const type = app.graph.extra.groupNodes[this.selectedGroup]\n    const config = type.config?.[this.selectedNodeInnerIndex]?.input\n    this.inputsPage.replaceChildren(\n      ...items\n        .map((oldName) => {\n          let value = inputs[oldName]\n          if (!value) {\n            return\n          }\n\n          return this.getEditElement(\n            'input',\n            oldName,\n            value,\n            oldName,\n            config?.[oldName]?.visible !== false\n          )\n        })\n        .filter(Boolean)\n    )\n    return !!items.length\n  }\n\n  buildOutputsPage() {\n    const nodes = this.groupData.nodeData.nodes\n    const innerNodeDef = this.groupData.getNodeDef(\n      nodes[this.selectedNodeInnerIndex]\n    )\n    const outputs = innerNodeDef?.output ?? []\n    const groupOutputs =\n      this.groupData.oldToNewOutputMap[this.selectedNodeInnerIndex]\n\n    const type = app.graph.extra.groupNodes[this.selectedGroup]\n    const config = type.config?.[this.selectedNodeInnerIndex]?.output\n    const node = this.groupData.nodeData.nodes[this.selectedNodeInnerIndex]\n    const checkable = node.type !== 'PrimitiveNode'\n    this.outputsPage.replaceChildren(\n      ...outputs\n        .map((type, slot) => {\n          const groupOutputIndex = groupOutputs?.[slot]\n          const oldName = innerNodeDef.output_name?.[slot] ?? type\n          let value = config?.[slot]?.name\n          const visible = config?.[slot]?.visible || groupOutputIndex != null\n          if (!value || value === oldName) {\n            value = ''\n          }\n          return this.getEditElement(\n            'output',\n            slot,\n            value,\n            oldName,\n            visible,\n            checkable\n          )\n        })\n        .filter(Boolean)\n    )\n    return !!outputs.length\n  }\n\n  show(type?) {\n    const groupNodes = Object.keys(app.graph.extra?.groupNodes ?? {}).sort(\n      (a, b) => a.localeCompare(b)\n    )\n\n    this.innerNodesList = $el(\n      'ul.comfy-group-manage-list-items'\n    ) as HTMLUListElement\n    this.widgetsPage = $el('section.comfy-group-manage-node-page')\n    this.inputsPage = $el('section.comfy-group-manage-node-page')\n    this.outputsPage = $el('section.comfy-group-manage-node-page')\n    const pages = $el('div', [\n      this.widgetsPage,\n      this.inputsPage,\n      this.outputsPage\n    ])\n\n    this.tabs = [\n      ['Inputs', this.inputsPage],\n      ['Widgets', this.widgetsPage],\n      ['Outputs', this.outputsPage]\n    ].reduce((p, [name, page]: [string, HTMLElement]) => {\n      p[name] = {\n        tab: $el('a', {\n          onclick: () => {\n            this.changeTab(name)\n          },\n          textContent: name\n        }),\n        page\n      }\n      return p\n    }, {}) as any\n\n    const outer = $el('div.comfy-group-manage-outer', [\n      $el('header', [\n        $el('h2', 'Group Nodes'),\n        $el(\n          'select',\n          {\n            onchange: (e) => {\n              this.changeGroup(e.target.value)\n            }\n          },\n          groupNodes.map((g) =>\n            $el('option', {\n              textContent: g,\n              selected: 'workflow/' + g === type,\n              value: g\n            })\n          )\n        )\n      ]),\n      $el('main', [\n        $el('section.comfy-group-manage-list', this.innerNodesList),\n        $el('section.comfy-group-manage-node', [\n          $el(\n            'header',\n            Object.values(this.tabs).map((t) => t.tab)\n          ),\n          pages\n        ])\n      ]),\n      $el('footer', [\n        $el(\n          'button.comfy-btn',\n          {\n            onclick: (e) => {\n              // @ts-expect-error\n              const node = app.graph._nodes.find(\n                (n) => n.type === 'workflow/' + this.selectedGroup\n              )\n              if (node) {\n                alert(\n                  'This group node is in use in the current workflow, please first remove these.'\n                )\n                return\n              }\n              if (\n                confirm(\n                  `Are you sure you want to remove the node: \"${this.selectedGroup}\"`\n                )\n              ) {\n                delete app.graph.extra.groupNodes[this.selectedGroup]\n                LiteGraph.unregisterNodeType('workflow/' + this.selectedGroup)\n              }\n              this.show()\n            }\n          },\n          'Delete Group Node'\n        ),\n        $el(\n          'button.comfy-btn',\n          {\n            onclick: async () => {\n              let nodesByType\n              let recreateNodes = []\n              const types = {}\n              for (const g in this.modifications) {\n                const type = app.graph.extra.groupNodes[g]\n                let config = (type.config ??= {})\n\n                let nodeMods = this.modifications[g]?.nodes\n                if (nodeMods) {\n                  const keys = Object.keys(nodeMods)\n                  if (nodeMods[keys[0]][ORDER]) {\n                    // If any node is reordered, they will all need sequencing\n                    const orderedNodes = []\n                    const orderedMods = {}\n                    const orderedConfig = {}\n\n                    for (const n of keys) {\n                      const order = nodeMods[n][ORDER].order\n                      orderedNodes[order] = type.nodes[+n]\n                      orderedMods[order] = nodeMods[n]\n                      orderedNodes[order].index = order\n                    }\n\n                    // Rewrite links\n                    for (const l of type.links) {\n                      if (l[0] != null) l[0] = type.nodes[l[0]].index\n                      if (l[2] != null) l[2] = type.nodes[l[2]].index\n                    }\n\n                    // Rewrite externals\n                    if (type.external) {\n                      for (const ext of type.external) {\n                        ext[0] = type.nodes[ext[0]]\n                      }\n                    }\n\n                    // Rewrite modifications\n                    for (const id of keys) {\n                      if (config[id]) {\n                        orderedConfig[type.nodes[id].index] = config[id]\n                      }\n                      delete config[id]\n                    }\n\n                    type.nodes = orderedNodes\n                    nodeMods = orderedMods\n                    type.config = config = orderedConfig\n                  }\n\n                  merge(config, nodeMods)\n                }\n\n                types[g] = type\n\n                if (!nodesByType) {\n                  // @ts-expect-error\n                  nodesByType = app.graph._nodes.reduce((p, n) => {\n                    p[n.type] ??= []\n                    p[n.type].push(n)\n                    return p\n                  }, {})\n                }\n\n                const nodes = nodesByType['workflow/' + g]\n                if (nodes) recreateNodes.push(...nodes)\n              }\n\n              await GroupNodeConfig.registerFromWorkflow(types, {})\n\n              for (const node of recreateNodes) {\n                node.recreate()\n              }\n\n              this.modifications = {}\n              this.app.graph.setDirtyCanvas(true, true)\n              this.changeGroup(this.selectedGroup, false)\n            }\n          },\n          'Save'\n        ),\n        $el(\n          'button.comfy-btn',\n          { onclick: () => this.element.close() },\n          'Close'\n        )\n      ])\n    ])\n\n    this.element.replaceChildren(outer)\n    this.changeGroup(\n      type ? groupNodes.find((g) => 'workflow/' + g === type) : groupNodes[0]\n    )\n    this.element.showModal()\n\n    this.element.addEventListener('close', () => {\n      this.draggable?.dispose()\n    })\n  }\n}\n","import { app } from '../../scripts/app'\nimport { api } from '../../scripts/api'\nimport { mergeIfValid } from './widgetInputs'\nimport { ManageGroupDialog } from './groupNodeManage'\nimport type { LGraphNode } from '@comfyorg/litegraph'\nimport { LGraphCanvas, LiteGraph } from '@comfyorg/litegraph'\n\nconst GROUP = Symbol()\n\nconst Workflow = {\n  InUse: {\n    Free: 0,\n    Registered: 1,\n    InWorkflow: 2\n  },\n  isInUseGroupNode(name) {\n    const id = `workflow/${name}`\n    // Check if lready registered/in use in this workflow\n    if (app.graph.extra?.groupNodes?.[name]) {\n      // @ts-expect-error\n      if (app.graph._nodes.find((n) => n.type === id)) {\n        return Workflow.InUse.InWorkflow\n      } else {\n        return Workflow.InUse.Registered\n      }\n    }\n    return Workflow.InUse.Free\n  },\n  storeGroupNode(name, data) {\n    let extra = app.graph.extra\n    if (!extra) app.graph.extra = extra = {}\n    let groupNodes = extra.groupNodes\n    if (!groupNodes) extra.groupNodes = groupNodes = {}\n    groupNodes[name] = data\n  }\n}\n\nclass GroupNodeBuilder {\n  nodes: LGraphNode[]\n  nodeData: any\n\n  constructor(nodes) {\n    this.nodes = nodes\n  }\n\n  build() {\n    const name = this.getName()\n    if (!name) return\n\n    // Sort the nodes so they are in execution order\n    // this allows for widgets to be in the correct order when reconstructing\n    this.sortNodes()\n\n    this.nodeData = this.getNodeData()\n    Workflow.storeGroupNode(name, this.nodeData)\n\n    return { name, nodeData: this.nodeData }\n  }\n\n  getName() {\n    const name = prompt('Enter group name')\n    if (!name) return\n    const used = Workflow.isInUseGroupNode(name)\n    switch (used) {\n      case Workflow.InUse.InWorkflow:\n        alert(\n          'An in use group node with this name already exists embedded in this workflow, please remove any instances or use a new name.'\n        )\n        return\n      case Workflow.InUse.Registered:\n        if (\n          !confirm(\n            'A group node with this name already exists embedded in this workflow, are you sure you want to overwrite it?'\n          )\n        ) {\n          return\n        }\n        break\n    }\n    return name\n  }\n\n  sortNodes() {\n    // Gets the builders nodes in graph execution order\n    const nodesInOrder = app.graph.computeExecutionOrder(false)\n    this.nodes = this.nodes\n      .map((node) => ({ index: nodesInOrder.indexOf(node), node }))\n      .sort((a, b) => a.index - b.index || a.node.id - b.node.id)\n      .map(({ node }) => node)\n  }\n\n  getNodeData() {\n    const storeLinkTypes = (config) => {\n      // Store link types for dynamically typed nodes e.g. reroutes\n      for (const link of config.links) {\n        const origin = app.graph.getNodeById(link[4])\n        const type = origin.outputs[link[1]].type\n        link.push(type)\n      }\n    }\n\n    const storeExternalLinks = (config) => {\n      // Store any external links to the group in the config so when rebuilding we add extra slots\n      config.external = []\n      for (let i = 0; i < this.nodes.length; i++) {\n        const node = this.nodes[i]\n        if (!node.outputs?.length) continue\n        for (let slot = 0; slot < node.outputs.length; slot++) {\n          let hasExternal = false\n          const output = node.outputs[slot]\n          let type = output.type\n          if (!output.links?.length) continue\n          for (const l of output.links) {\n            const link = app.graph.links[l]\n            if (!link) continue\n            if (type === '*') type = link.type\n\n            if (!app.canvas.selected_nodes[link.target_id]) {\n              hasExternal = true\n              break\n            }\n          }\n          if (hasExternal) {\n            config.external.push([i, slot, type])\n          }\n        }\n      }\n    }\n\n    // Use the built in copyToClipboard function to generate the node data we need\n    const backup = localStorage.getItem('litegrapheditor_clipboard')\n    try {\n      // @ts-expect-error\n      // TODO Figure out if copyToClipboard is really taking this param\n      app.canvas.copyToClipboard(this.nodes)\n      const config = JSON.parse(\n        localStorage.getItem('litegrapheditor_clipboard')\n      )\n\n      storeLinkTypes(config)\n      storeExternalLinks(config)\n\n      return config\n    } finally {\n      localStorage.setItem('litegrapheditor_clipboard', backup)\n    }\n  }\n}\n\nexport class GroupNodeConfig {\n  name: string\n  nodeData: any\n  inputCount: number\n  oldToNewOutputMap: {}\n  newToOldOutputMap: {}\n  oldToNewInputMap: {}\n  oldToNewWidgetMap: {}\n  newToOldWidgetMap: {}\n  primitiveDefs: {}\n  widgetToPrimitive: {}\n  primitiveToWidget: {}\n  nodeInputs: {}\n  outputVisibility: any[]\n  nodeDef: any\n  inputs: any[]\n  linksFrom: {}\n  linksTo: {}\n  externalFrom: {}\n\n  constructor(name, nodeData) {\n    this.name = name\n    this.nodeData = nodeData\n    this.getLinks()\n\n    this.inputCount = 0\n    this.oldToNewOutputMap = {}\n    this.newToOldOutputMap = {}\n    this.oldToNewInputMap = {}\n    this.oldToNewWidgetMap = {}\n    this.newToOldWidgetMap = {}\n    this.primitiveDefs = {}\n    this.widgetToPrimitive = {}\n    this.primitiveToWidget = {}\n    this.nodeInputs = {}\n    this.outputVisibility = []\n  }\n\n  async registerType(source = 'workflow') {\n    this.nodeDef = {\n      output: [],\n      output_name: [],\n      output_is_list: [],\n      output_is_hidden: [],\n      name: source + '/' + this.name,\n      display_name: this.name,\n      category: 'group nodes' + ('/' + source),\n      input: { required: {} },\n\n      [GROUP]: this\n    }\n\n    this.inputs = []\n    const seenInputs = {}\n    const seenOutputs = {}\n    for (let i = 0; i < this.nodeData.nodes.length; i++) {\n      const node = this.nodeData.nodes[i]\n      node.index = i\n      this.processNode(node, seenInputs, seenOutputs)\n    }\n\n    for (const p of this.#convertedToProcess) {\n      p()\n    }\n    this.#convertedToProcess = null\n    await app.registerNodeDef('workflow/' + this.name, this.nodeDef)\n  }\n\n  getLinks() {\n    this.linksFrom = {}\n    this.linksTo = {}\n    this.externalFrom = {}\n\n    // Extract links for easy lookup\n    for (const l of this.nodeData.links) {\n      const [sourceNodeId, sourceNodeSlot, targetNodeId, targetNodeSlot] = l\n\n      // Skip links outside the copy config\n      if (sourceNodeId == null) continue\n\n      if (!this.linksFrom[sourceNodeId]) {\n        this.linksFrom[sourceNodeId] = {}\n      }\n      if (!this.linksFrom[sourceNodeId][sourceNodeSlot]) {\n        this.linksFrom[sourceNodeId][sourceNodeSlot] = []\n      }\n      this.linksFrom[sourceNodeId][sourceNodeSlot].push(l)\n\n      if (!this.linksTo[targetNodeId]) {\n        this.linksTo[targetNodeId] = {}\n      }\n      this.linksTo[targetNodeId][targetNodeSlot] = l\n    }\n\n    if (this.nodeData.external) {\n      for (const ext of this.nodeData.external) {\n        if (!this.externalFrom[ext[0]]) {\n          this.externalFrom[ext[0]] = { [ext[1]]: ext[2] }\n        } else {\n          this.externalFrom[ext[0]][ext[1]] = ext[2]\n        }\n      }\n    }\n  }\n\n  processNode(node, seenInputs, seenOutputs) {\n    const def = this.getNodeDef(node)\n    if (!def) return\n\n    const inputs = { ...def.input?.required, ...def.input?.optional }\n\n    this.inputs.push(this.processNodeInputs(node, seenInputs, inputs))\n    if (def.output?.length) this.processNodeOutputs(node, seenOutputs, def)\n  }\n\n  getNodeDef(node) {\n    const def = globalDefs[node.type]\n    if (def) return def\n\n    const linksFrom = this.linksFrom[node.index]\n    if (node.type === 'PrimitiveNode') {\n      // Skip as its not linked\n      if (!linksFrom) return\n\n      let type = linksFrom['0'][0][5]\n      if (type === 'COMBO') {\n        // Use the array items\n        const source = node.outputs[0].widget.name\n        const fromTypeName = this.nodeData.nodes[linksFrom['0'][0][2]].type\n        const fromType = globalDefs[fromTypeName]\n        const input =\n          fromType.input.required[source] ?? fromType.input.optional[source]\n        type = input[0]\n      }\n\n      const def = (this.primitiveDefs[node.index] = {\n        input: {\n          required: {\n            value: [type, {}]\n          }\n        },\n        output: [type],\n        output_name: [],\n        output_is_list: []\n      })\n      return def\n    } else if (node.type === 'Reroute') {\n      const linksTo = this.linksTo[node.index]\n      if (linksTo && linksFrom && !this.externalFrom[node.index]?.[0]) {\n        // Being used internally\n        return null\n      }\n\n      let config = {}\n      let rerouteType = '*'\n      if (linksFrom) {\n        for (const [, , id, slot] of linksFrom['0']) {\n          const node = this.nodeData.nodes[id]\n          const input = node.inputs[slot]\n          if (rerouteType === '*') {\n            rerouteType = input.type\n          }\n          if (input.widget) {\n            const targetDef = globalDefs[node.type]\n            const targetWidget =\n              targetDef.input.required[input.widget.name] ??\n              targetDef.input.optional[input.widget.name]\n\n            const widget = [targetWidget[0], config]\n            const res = mergeIfValid(\n              {\n                widget\n              },\n              targetWidget,\n              false,\n              null,\n              widget\n            )\n            config = res?.customConfig ?? config\n          }\n        }\n      } else if (linksTo) {\n        const [id, slot] = linksTo['0']\n        rerouteType = this.nodeData.nodes[id].outputs[slot].type\n      } else {\n        // Reroute used as a pipe\n        for (const l of this.nodeData.links) {\n          if (l[2] === node.index) {\n            rerouteType = l[5]\n            break\n          }\n        }\n        if (rerouteType === '*') {\n          // Check for an external link\n          const t = this.externalFrom[node.index]?.[0]\n          if (t) {\n            rerouteType = t\n          }\n        }\n      }\n\n      // @ts-expect-error\n      config.forceInput = true\n      return {\n        input: {\n          required: {\n            [rerouteType]: [rerouteType, config]\n          }\n        },\n        output: [rerouteType],\n        output_name: [],\n        output_is_list: []\n      }\n    }\n\n    console.warn(\n      'Skipping virtual node ' +\n        node.type +\n        ' when building group node ' +\n        this.name\n    )\n  }\n\n  getInputConfig(node, inputName, seenInputs, config, extra?) {\n    const customConfig = this.nodeData.config?.[node.index]?.input?.[inputName]\n    let name =\n      customConfig?.name ??\n      node.inputs?.find((inp) => inp.name === inputName)?.label ??\n      inputName\n    let key = name\n    let prefix = ''\n    // Special handling for primitive to include the title if it is set rather than just \"value\"\n    if ((node.type === 'PrimitiveNode' && node.title) || name in seenInputs) {\n      prefix = `${node.title ?? node.type} `\n      key = name = `${prefix}${inputName}`\n      if (name in seenInputs) {\n        name = `${prefix}${seenInputs[name]} ${inputName}`\n      }\n    }\n    seenInputs[key] = (seenInputs[key] ?? 1) + 1\n\n    if (inputName === 'seed' || inputName === 'noise_seed') {\n      if (!extra) extra = {}\n      extra.control_after_generate = `${prefix}control_after_generate`\n    }\n    if (config[0] === 'IMAGEUPLOAD') {\n      if (!extra) extra = {}\n      extra.widget =\n        this.oldToNewWidgetMap[node.index]?.[config[1]?.widget ?? 'image'] ??\n        'image'\n    }\n\n    if (extra) {\n      config = [config[0], { ...config[1], ...extra }]\n    }\n\n    return { name, config, customConfig }\n  }\n\n  processWidgetInputs(inputs, node, inputNames, seenInputs) {\n    const slots = []\n    const converted = new Map()\n    const widgetMap = (this.oldToNewWidgetMap[node.index] = {})\n    for (const inputName of inputNames) {\n      let widgetType = app.getWidgetType(inputs[inputName], inputName)\n      if (widgetType) {\n        const convertedIndex = node.inputs?.findIndex(\n          (inp) => inp.name === inputName && inp.widget?.name === inputName\n        )\n        if (convertedIndex > -1) {\n          // This widget has been converted to a widget\n          // We need to store this in the correct position so link ids line up\n          converted.set(convertedIndex, inputName)\n          widgetMap[inputName] = null\n        } else {\n          // Normal widget\n          const { name, config } = this.getInputConfig(\n            node,\n            inputName,\n            seenInputs,\n            inputs[inputName]\n          )\n          this.nodeDef.input.required[name] = config\n          widgetMap[inputName] = name\n          this.newToOldWidgetMap[name] = { node, inputName }\n        }\n      } else {\n        // Normal input\n        slots.push(inputName)\n      }\n    }\n    return { converted, slots }\n  }\n\n  checkPrimitiveConnection(link, inputName, inputs) {\n    const sourceNode = this.nodeData.nodes[link[0]]\n    if (sourceNode.type === 'PrimitiveNode') {\n      // Merge link configurations\n      const [sourceNodeId, _, targetNodeId, __] = link\n      const primitiveDef = this.primitiveDefs[sourceNodeId]\n      const targetWidget = inputs[inputName]\n      const primitiveConfig = primitiveDef.input.required.value\n      const output = { widget: primitiveConfig }\n      const config = mergeIfValid(\n        output,\n        targetWidget,\n        false,\n        null,\n        primitiveConfig\n      )\n      primitiveConfig[1] =\n        config?.customConfig ?? inputs[inputName][1]\n          ? { ...inputs[inputName][1] }\n          : {}\n\n      let name = this.oldToNewWidgetMap[sourceNodeId]['value']\n      name = name.substr(0, name.length - 6)\n      primitiveConfig[1].control_after_generate = true\n      primitiveConfig[1].control_prefix = name\n\n      let toPrimitive = this.widgetToPrimitive[targetNodeId]\n      if (!toPrimitive) {\n        toPrimitive = this.widgetToPrimitive[targetNodeId] = {}\n      }\n      if (toPrimitive[inputName]) {\n        toPrimitive[inputName].push(sourceNodeId)\n      }\n      toPrimitive[inputName] = sourceNodeId\n\n      let toWidget = this.primitiveToWidget[sourceNodeId]\n      if (!toWidget) {\n        toWidget = this.primitiveToWidget[sourceNodeId] = []\n      }\n      toWidget.push({ nodeId: targetNodeId, inputName })\n    }\n  }\n\n  processInputSlots(inputs, node, slots, linksTo, inputMap, seenInputs) {\n    this.nodeInputs[node.index] = {}\n    for (let i = 0; i < slots.length; i++) {\n      const inputName = slots[i]\n      if (linksTo[i]) {\n        this.checkPrimitiveConnection(linksTo[i], inputName, inputs)\n        // This input is linked so we can skip it\n        continue\n      }\n\n      const { name, config, customConfig } = this.getInputConfig(\n        node,\n        inputName,\n        seenInputs,\n        inputs[inputName]\n      )\n\n      this.nodeInputs[node.index][inputName] = name\n      if (customConfig?.visible === false) continue\n\n      this.nodeDef.input.required[name] = config\n      inputMap[i] = this.inputCount++\n    }\n  }\n\n  processConvertedWidgets(\n    inputs,\n    node,\n    slots,\n    converted,\n    linksTo,\n    inputMap,\n    seenInputs\n  ) {\n    // Add converted widgets sorted into their index order (ordered as they were converted) so link ids match up\n    const convertedSlots = [...converted.keys()]\n      .sort()\n      .map((k) => converted.get(k))\n    for (let i = 0; i < convertedSlots.length; i++) {\n      const inputName = convertedSlots[i]\n      if (linksTo[slots.length + i]) {\n        this.checkPrimitiveConnection(\n          linksTo[slots.length + i],\n          inputName,\n          inputs\n        )\n        // This input is linked so we can skip it\n        continue\n      }\n\n      const { name, config } = this.getInputConfig(\n        node,\n        inputName,\n        seenInputs,\n        inputs[inputName],\n        {\n          defaultInput: true\n        }\n      )\n\n      this.nodeDef.input.required[name] = config\n      this.newToOldWidgetMap[name] = { node, inputName }\n\n      if (!this.oldToNewWidgetMap[node.index]) {\n        this.oldToNewWidgetMap[node.index] = {}\n      }\n      this.oldToNewWidgetMap[node.index][inputName] = name\n\n      inputMap[slots.length + i] = this.inputCount++\n    }\n  }\n\n  #convertedToProcess = []\n  processNodeInputs(node, seenInputs, inputs) {\n    const inputMapping = []\n\n    const inputNames = Object.keys(inputs)\n    if (!inputNames.length) return\n\n    const { converted, slots } = this.processWidgetInputs(\n      inputs,\n      node,\n      inputNames,\n      seenInputs\n    )\n    const linksTo = this.linksTo[node.index] ?? {}\n    const inputMap = (this.oldToNewInputMap[node.index] = {})\n    this.processInputSlots(inputs, node, slots, linksTo, inputMap, seenInputs)\n\n    // Converted inputs have to be processed after all other nodes as they'll be at the end of the list\n    this.#convertedToProcess.push(() =>\n      this.processConvertedWidgets(\n        inputs,\n        node,\n        slots,\n        converted,\n        linksTo,\n        inputMap,\n        seenInputs\n      )\n    )\n\n    return inputMapping\n  }\n\n  processNodeOutputs(node, seenOutputs, def) {\n    const oldToNew = (this.oldToNewOutputMap[node.index] = {})\n\n    // Add outputs\n    for (let outputId = 0; outputId < def.output.length; outputId++) {\n      const linksFrom = this.linksFrom[node.index]\n      // If this output is linked internally we flag it to hide\n      const hasLink =\n        linksFrom?.[outputId] && !this.externalFrom[node.index]?.[outputId]\n      const customConfig =\n        this.nodeData.config?.[node.index]?.output?.[outputId]\n      const visible = customConfig?.visible ?? !hasLink\n      this.outputVisibility.push(visible)\n      if (!visible) {\n        continue\n      }\n\n      oldToNew[outputId] = this.nodeDef.output.length\n      this.newToOldOutputMap[this.nodeDef.output.length] = {\n        node,\n        slot: outputId\n      }\n      this.nodeDef.output.push(def.output[outputId])\n      this.nodeDef.output_is_list.push(def.output_is_list[outputId])\n\n      let label = customConfig?.name\n      if (!label) {\n        label = def.output_name?.[outputId] ?? def.output[outputId]\n        const output = node.outputs.find((o) => o.name === label)\n        if (output?.label) {\n          label = output.label\n        }\n      }\n\n      let name = label\n      if (name in seenOutputs) {\n        const prefix = `${node.title ?? node.type} `\n        name = `${prefix}${label}`\n        if (name in seenOutputs) {\n          name = `${prefix}${node.index} ${label}`\n        }\n      }\n      seenOutputs[name] = 1\n\n      this.nodeDef.output_name.push(name)\n    }\n  }\n\n  static async registerFromWorkflow(groupNodes, missingNodeTypes) {\n    const clean = app.clean\n    app.clean = function () {\n      for (const g in groupNodes) {\n        try {\n          LiteGraph.unregisterNodeType('workflow/' + g)\n        } catch (error) {}\n      }\n      app.clean = clean\n    }\n\n    for (const g in groupNodes) {\n      const groupData = groupNodes[g]\n\n      let hasMissing = false\n      for (const n of groupData.nodes) {\n        // Find missing node types\n        if (!(n.type in LiteGraph.registered_node_types)) {\n          missingNodeTypes.push({\n            type: n.type,\n            hint: ` (In group node 'workflow/${g}')`\n          })\n\n          missingNodeTypes.push({\n            type: 'workflow/' + g,\n            action: {\n              text: 'Remove from workflow',\n              callback: (e) => {\n                delete groupNodes[g]\n                e.target.textContent = 'Removed'\n                e.target.style.pointerEvents = 'none'\n                e.target.style.opacity = 0.7\n              }\n            }\n          })\n\n          hasMissing = true\n        }\n      }\n\n      if (hasMissing) continue\n\n      const config = new GroupNodeConfig(g, groupData)\n      await config.registerType()\n    }\n  }\n}\n\nexport class GroupNodeHandler {\n  node\n  groupData\n  innerNodes: any\n\n  constructor(node) {\n    this.node = node\n    this.groupData = node.constructor?.nodeData?.[GROUP]\n\n    this.node.setInnerNodes = (innerNodes) => {\n      this.innerNodes = innerNodes\n\n      for (\n        let innerNodeIndex = 0;\n        innerNodeIndex < this.innerNodes.length;\n        innerNodeIndex++\n      ) {\n        const innerNode = this.innerNodes[innerNodeIndex]\n\n        for (const w of innerNode.widgets ?? []) {\n          if (w.type === 'converted-widget') {\n            w.serializeValue = w.origSerializeValue\n          }\n        }\n\n        innerNode.index = innerNodeIndex\n        innerNode.getInputNode = (slot) => {\n          // Check if this input is internal or external\n          const externalSlot =\n            this.groupData.oldToNewInputMap[innerNode.index]?.[slot]\n          if (externalSlot != null) {\n            return this.node.getInputNode(externalSlot)\n          }\n\n          // Internal link\n          const innerLink = this.groupData.linksTo[innerNode.index]?.[slot]\n          if (!innerLink) return null\n\n          const inputNode = innerNodes[innerLink[0]]\n          // Primitives will already apply their values\n          if (inputNode.type === 'PrimitiveNode') return null\n\n          return inputNode\n        }\n\n        innerNode.getInputLink = (slot) => {\n          const externalSlot =\n            this.groupData.oldToNewInputMap[innerNode.index]?.[slot]\n          if (externalSlot != null) {\n            // The inner node is connected via the group node inputs\n            const linkId = this.node.inputs[externalSlot].link\n            let link = app.graph.links[linkId]\n\n            // Use the outer link, but update the target to the inner node\n            // @ts-expect-error\n            // TODO: Fix this\n            link = {\n              ...link,\n              target_id: innerNode.id,\n              target_slot: +slot\n            }\n            return link\n          }\n\n          let link = this.groupData.linksTo[innerNode.index]?.[slot]\n          if (!link) return null\n          // Use the inner link, but update the origin node to be inner node id\n          link = {\n            origin_id: innerNodes[link[0]].id,\n            origin_slot: link[1],\n            target_id: innerNode.id,\n            target_slot: +slot\n          }\n          return link\n        }\n      }\n    }\n\n    this.node.updateLink = (link) => {\n      // Replace the group node reference with the internal node\n      link = { ...link }\n      const output = this.groupData.newToOldOutputMap[link.origin_slot]\n      let innerNode = this.innerNodes[output.node.index]\n      let l\n      while (innerNode?.type === 'Reroute') {\n        l = innerNode.getInputLink(0)\n        innerNode = innerNode.getInputNode(0)\n      }\n\n      if (!innerNode) {\n        return null\n      }\n\n      if (l && GroupNodeHandler.isGroupNode(innerNode)) {\n        return innerNode.updateLink(l)\n      }\n\n      link.origin_id = innerNode.id\n      link.origin_slot = l?.origin_slot ?? output.slot\n      return link\n    }\n\n    this.node.getInnerNodes = () => {\n      if (!this.innerNodes) {\n        this.node.setInnerNodes(\n          this.groupData.nodeData.nodes.map((n, i) => {\n            const innerNode = LiteGraph.createNode(n.type)\n            innerNode.configure(n)\n            // @ts-expect-error\n            innerNode.id = `${this.node.id}:${i}`\n            return innerNode\n          })\n        )\n      }\n\n      this.updateInnerWidgets()\n\n      return this.innerNodes\n    }\n\n    this.node.recreate = async () => {\n      const id = this.node.id\n      const sz = this.node.size\n      const nodes = this.node.convertToNodes()\n\n      const groupNode = LiteGraph.createNode(this.node.type)\n      groupNode.id = id\n\n      // Reuse the existing nodes for this instance\n      groupNode.setInnerNodes(nodes)\n      groupNode[GROUP].populateWidgets()\n      app.graph.add(groupNode)\n      groupNode.size = [\n        Math.max(groupNode.size[0], sz[0]),\n        Math.max(groupNode.size[1], sz[1])\n      ]\n\n      // Remove all converted nodes and relink them\n      groupNode[GROUP].replaceNodes(nodes)\n      return groupNode\n    }\n\n    this.node.convertToNodes = () => {\n      const addInnerNodes = () => {\n        const backup = localStorage.getItem('litegrapheditor_clipboard')\n        // Clone the node data so we dont mutate it for other nodes\n        const c = { ...this.groupData.nodeData }\n        c.nodes = [...c.nodes]\n        const innerNodes = this.node.getInnerNodes()\n        let ids = []\n        for (let i = 0; i < c.nodes.length; i++) {\n          let id = innerNodes?.[i]?.id\n          // Use existing IDs if they are set on the inner nodes\n          if (id == null || isNaN(id)) {\n            id = undefined\n          } else {\n            ids.push(id)\n          }\n          c.nodes[i] = { ...c.nodes[i], id }\n        }\n        localStorage.setItem('litegrapheditor_clipboard', JSON.stringify(c))\n        app.canvas.pasteFromClipboard()\n        localStorage.setItem('litegrapheditor_clipboard', backup)\n\n        const [x, y] = this.node.pos\n        let top\n        let left\n        // Configure nodes with current widget data\n        const selectedIds = ids.length\n          ? ids\n          : Object.keys(app.canvas.selected_nodes)\n        const newNodes = []\n        for (let i = 0; i < selectedIds.length; i++) {\n          const id = selectedIds[i]\n          const newNode = app.graph.getNodeById(id)\n          const innerNode = innerNodes[i]\n          newNodes.push(newNode)\n\n          if (left == null || newNode.pos[0] < left) {\n            left = newNode.pos[0]\n          }\n          if (top == null || newNode.pos[1] < top) {\n            top = newNode.pos[1]\n          }\n\n          if (!newNode.widgets) continue\n\n          const map = this.groupData.oldToNewWidgetMap[innerNode.index]\n          if (map) {\n            const widgets = Object.keys(map)\n\n            for (const oldName of widgets) {\n              const newName = map[oldName]\n              if (!newName) continue\n\n              const widgetIndex = this.node.widgets.findIndex(\n                (w) => w.name === newName\n              )\n              if (widgetIndex === -1) continue\n\n              // Populate the main and any linked widgets\n              if (innerNode.type === 'PrimitiveNode') {\n                for (let i = 0; i < newNode.widgets.length; i++) {\n                  newNode.widgets[i].value =\n                    this.node.widgets[widgetIndex + i].value\n                }\n              } else {\n                const outerWidget = this.node.widgets[widgetIndex]\n                const newWidget = newNode.widgets.find(\n                  (w) => w.name === oldName\n                )\n                if (!newWidget) continue\n\n                newWidget.value = outerWidget.value\n                for (let w = 0; w < outerWidget.linkedWidgets?.length; w++) {\n                  newWidget.linkedWidgets[w].value =\n                    outerWidget.linkedWidgets[w].value\n                }\n              }\n            }\n          }\n        }\n\n        // Shift each node\n        for (const newNode of newNodes) {\n          newNode.pos = [\n            newNode.pos[0] - (left - x),\n            newNode.pos[1] - (top - y)\n          ]\n        }\n\n        return { newNodes, selectedIds }\n      }\n\n      const reconnectInputs = (selectedIds) => {\n        for (const innerNodeIndex in this.groupData.oldToNewInputMap) {\n          const id = selectedIds[innerNodeIndex]\n          const newNode = app.graph.getNodeById(id)\n          const map = this.groupData.oldToNewInputMap[innerNodeIndex]\n          for (const innerInputId in map) {\n            const groupSlotId = map[innerInputId]\n            if (groupSlotId == null) continue\n            const slot = node.inputs[groupSlotId]\n            if (slot.link == null) continue\n            const link = app.graph.links[slot.link]\n            if (!link) continue\n            //  connect this node output to the input of another node\n            const originNode = app.graph.getNodeById(link.origin_id)\n            originNode.connect(link.origin_slot, newNode, +innerInputId)\n          }\n        }\n      }\n\n      const reconnectOutputs = (selectedIds) => {\n        for (\n          let groupOutputId = 0;\n          groupOutputId < node.outputs?.length;\n          groupOutputId++\n        ) {\n          const output = node.outputs[groupOutputId]\n          if (!output.links) continue\n          const links = [...output.links]\n          for (const l of links) {\n            const slot = this.groupData.newToOldOutputMap[groupOutputId]\n            const link = app.graph.links[l]\n            const targetNode = app.graph.getNodeById(link.target_id)\n            const newNode = app.graph.getNodeById(selectedIds[slot.node.index])\n            newNode.connect(slot.slot, targetNode, link.target_slot)\n          }\n        }\n      }\n\n      const { newNodes, selectedIds } = addInnerNodes()\n      reconnectInputs(selectedIds)\n      reconnectOutputs(selectedIds)\n      app.graph.remove(this.node)\n\n      return newNodes\n    }\n\n    const getExtraMenuOptions = this.node.getExtraMenuOptions\n    this.node.getExtraMenuOptions = function (_, options) {\n      getExtraMenuOptions?.apply(this, arguments)\n\n      let optionIndex = options.findIndex((o) => o.content === 'Outputs')\n      if (optionIndex === -1) optionIndex = options.length\n      else optionIndex++\n      options.splice(\n        optionIndex,\n        0,\n        null,\n        {\n          content: 'Convert to nodes',\n          callback: () => {\n            return this.convertToNodes()\n          }\n        },\n        {\n          content: 'Manage Group Node',\n          callback: () => {\n            new ManageGroupDialog(app).show(this.type)\n          }\n        }\n      )\n    }\n\n    // Draw custom collapse icon to identity this as a group\n    const onDrawTitleBox = this.node.onDrawTitleBox\n    this.node.onDrawTitleBox = function (ctx, height, size, scale) {\n      onDrawTitleBox?.apply(this, arguments)\n\n      const fill = ctx.fillStyle\n      ctx.beginPath()\n      ctx.rect(11, -height + 11, 2, 2)\n      ctx.rect(14, -height + 11, 2, 2)\n      ctx.rect(17, -height + 11, 2, 2)\n      ctx.rect(11, -height + 14, 2, 2)\n      ctx.rect(14, -height + 14, 2, 2)\n      ctx.rect(17, -height + 14, 2, 2)\n      ctx.rect(11, -height + 17, 2, 2)\n      ctx.rect(14, -height + 17, 2, 2)\n      ctx.rect(17, -height + 17, 2, 2)\n\n      ctx.fillStyle = this.boxcolor || LiteGraph.NODE_DEFAULT_BOXCOLOR\n      ctx.fill()\n      ctx.fillStyle = fill\n    }\n\n    // Draw progress label\n    const onDrawForeground = node.onDrawForeground\n    const groupData = this.groupData.nodeData\n    node.onDrawForeground = function (ctx) {\n      const r = onDrawForeground?.apply?.(this, arguments)\n      if (\n        +app.runningNodeId === this.id &&\n        this.runningInternalNodeId !== null\n      ) {\n        const n = groupData.nodes[this.runningInternalNodeId]\n        if (!n) return\n        const message = `Running ${n.title || n.type} (${this.runningInternalNodeId}/${groupData.nodes.length})`\n        ctx.save()\n        ctx.font = '12px sans-serif'\n        const sz = ctx.measureText(message)\n        ctx.fillStyle = node.boxcolor || LiteGraph.NODE_DEFAULT_BOXCOLOR\n        ctx.beginPath()\n        ctx.roundRect(\n          0,\n          -LiteGraph.NODE_TITLE_HEIGHT - 20,\n          sz.width + 12,\n          20,\n          5\n        )\n        ctx.fill()\n\n        ctx.fillStyle = '#fff'\n        ctx.fillText(message, 6, -LiteGraph.NODE_TITLE_HEIGHT - 6)\n        ctx.restore()\n      }\n    }\n\n    // Flag this node as needing to be reset\n    const onExecutionStart = this.node.onExecutionStart\n    this.node.onExecutionStart = function () {\n      this.resetExecution = true\n      return onExecutionStart?.apply(this, arguments)\n    }\n\n    const self = this\n    const onNodeCreated = this.node.onNodeCreated\n    this.node.onNodeCreated = function () {\n      if (!this.widgets) {\n        return\n      }\n      const config = self.groupData.nodeData.config\n      if (config) {\n        for (const n in config) {\n          const inputs = config[n]?.input\n          for (const w in inputs) {\n            if (inputs[w].visible !== false) continue\n            const widgetName = self.groupData.oldToNewWidgetMap[n][w]\n            const widget = this.widgets.find((w) => w.name === widgetName)\n            if (widget) {\n              widget.type = 'hidden'\n              widget.computeSize = () => [0, -4]\n            }\n          }\n        }\n      }\n\n      return onNodeCreated?.apply(this, arguments)\n    }\n\n    function handleEvent(type, getId, getEvent) {\n      const handler = ({ detail }) => {\n        const id = getId(detail)\n        if (!id) return\n        const node = app.graph.getNodeById(id)\n        if (node) return\n\n        const innerNodeIndex = this.innerNodes?.findIndex((n) => n.id == id)\n        if (innerNodeIndex > -1) {\n          this.node.runningInternalNodeId = innerNodeIndex\n          api.dispatchEvent(\n            new CustomEvent(type, {\n              detail: getEvent(detail, this.node.id + '', this.node)\n            })\n          )\n        }\n      }\n      api.addEventListener(type, handler)\n      return handler\n    }\n\n    const executing = handleEvent.call(\n      this,\n      'executing',\n      (d) => d,\n      (d, id, node) => id\n    )\n\n    const executed = handleEvent.call(\n      this,\n      'executed',\n      (d) => d?.display_node || d?.node,\n      (d, id, node) => ({\n        ...d,\n        node: id,\n        display_node: id,\n        merge: !node.resetExecution\n      })\n    )\n\n    const onRemoved = node.onRemoved\n    this.node.onRemoved = function () {\n      onRemoved?.apply(this, arguments)\n      api.removeEventListener('executing', executing)\n      api.removeEventListener('executed', executed)\n    }\n\n    this.node.refreshComboInNode = (defs) => {\n      // Update combo widget options\n      for (const widgetName in this.groupData.newToOldWidgetMap) {\n        const widget = this.node.widgets.find((w) => w.name === widgetName)\n        if (widget?.type === 'combo') {\n          const old = this.groupData.newToOldWidgetMap[widgetName]\n          const def = defs[old.node.type]\n          const input =\n            def?.input?.required?.[old.inputName] ??\n            def?.input?.optional?.[old.inputName]\n          if (!input) continue\n\n          widget.options.values = input[0]\n\n          if (\n            old.inputName !== 'image' &&\n            !widget.options.values.includes(widget.value)\n          ) {\n            widget.value = widget.options.values[0]\n            widget.callback(widget.value)\n          }\n        }\n      }\n    }\n  }\n\n  updateInnerWidgets() {\n    for (const newWidgetName in this.groupData.newToOldWidgetMap) {\n      const newWidget = this.node.widgets.find((w) => w.name === newWidgetName)\n      if (!newWidget) continue\n\n      const newValue = newWidget.value\n      const old = this.groupData.newToOldWidgetMap[newWidgetName]\n      let innerNode = this.innerNodes[old.node.index]\n\n      if (innerNode.type === 'PrimitiveNode') {\n        innerNode.primitiveValue = newValue\n        const primitiveLinked = this.groupData.primitiveToWidget[old.node.index]\n        for (const linked of primitiveLinked ?? []) {\n          const node = this.innerNodes[linked.nodeId]\n          const widget = node.widgets.find((w) => w.name === linked.inputName)\n\n          if (widget) {\n            widget.value = newValue\n          }\n        }\n        continue\n      } else if (innerNode.type === 'Reroute') {\n        const rerouteLinks = this.groupData.linksFrom[old.node.index]\n        if (rerouteLinks) {\n          for (const [_, , targetNodeId, targetSlot] of rerouteLinks['0']) {\n            const node = this.innerNodes[targetNodeId]\n            const input = node.inputs[targetSlot]\n            if (input.widget) {\n              const widget = node.widgets?.find(\n                (w) => w.name === input.widget.name\n              )\n              if (widget) {\n                widget.value = newValue\n              }\n            }\n          }\n        }\n      }\n\n      const widget = innerNode.widgets?.find((w) => w.name === old.inputName)\n      if (widget) {\n        widget.value = newValue\n      }\n    }\n  }\n\n  populatePrimitive(node, nodeId, oldName, i, linkedShift) {\n    // Converted widget, populate primitive if linked\n    const primitiveId = this.groupData.widgetToPrimitive[nodeId]?.[oldName]\n    if (primitiveId == null) return\n    const targetWidgetName =\n      this.groupData.oldToNewWidgetMap[primitiveId]['value']\n    const targetWidgetIndex = this.node.widgets.findIndex(\n      (w) => w.name === targetWidgetName\n    )\n    if (targetWidgetIndex > -1) {\n      const primitiveNode = this.innerNodes[primitiveId]\n      let len = primitiveNode.widgets.length\n      if (\n        len - 1 !==\n        this.node.widgets[targetWidgetIndex].linkedWidgets?.length\n      ) {\n        // Fallback handling for if some reason the primitive has a different number of widgets\n        // we dont want to overwrite random widgets, better to leave blank\n        len = 1\n      }\n      for (let i = 0; i < len; i++) {\n        this.node.widgets[targetWidgetIndex + i].value =\n          primitiveNode.widgets[i].value\n      }\n    }\n    return true\n  }\n\n  populateReroute(node, nodeId, map) {\n    if (node.type !== 'Reroute') return\n\n    const link = this.groupData.linksFrom[nodeId]?.[0]?.[0]\n    if (!link) return\n    const [, , targetNodeId, targetNodeSlot] = link\n    const targetNode = this.groupData.nodeData.nodes[targetNodeId]\n    const inputs = targetNode.inputs\n    const targetWidget = inputs?.[targetNodeSlot]?.widget\n    if (!targetWidget) return\n\n    const offset = inputs.length - (targetNode.widgets_values?.length ?? 0)\n    const v = targetNode.widgets_values?.[targetNodeSlot - offset]\n    if (v == null) return\n\n    const widgetName = Object.values(map)[0]\n    const widget = this.node.widgets.find((w) => w.name === widgetName)\n    if (widget) {\n      widget.value = v\n    }\n  }\n\n  populateWidgets() {\n    if (!this.node.widgets) return\n\n    for (\n      let nodeId = 0;\n      nodeId < this.groupData.nodeData.nodes.length;\n      nodeId++\n    ) {\n      const node = this.groupData.nodeData.nodes[nodeId]\n      const map = this.groupData.oldToNewWidgetMap[nodeId] ?? {}\n      const widgets = Object.keys(map)\n\n      if (!node.widgets_values?.length) {\n        // special handling for populating values into reroutes\n        // this allows primitives connect to them to pick up the correct value\n        this.populateReroute(node, nodeId, map)\n        continue\n      }\n\n      let linkedShift = 0\n      for (let i = 0; i < widgets.length; i++) {\n        const oldName = widgets[i]\n        const newName = map[oldName]\n        const widgetIndex = this.node.widgets.findIndex(\n          (w) => w.name === newName\n        )\n        const mainWidget = this.node.widgets[widgetIndex]\n        if (\n          this.populatePrimitive(node, nodeId, oldName, i, linkedShift) ||\n          widgetIndex === -1\n        ) {\n          // Find the inner widget and shift by the number of linked widgets as they will have been removed too\n          const innerWidget = this.innerNodes[nodeId].widgets?.find(\n            (w) => w.name === oldName\n          )\n          linkedShift += innerWidget?.linkedWidgets?.length ?? 0\n        }\n        if (widgetIndex === -1) {\n          continue\n        }\n\n        // Populate the main and any linked widget\n        mainWidget.value = node.widgets_values[i + linkedShift]\n        for (let w = 0; w < mainWidget.linkedWidgets?.length; w++) {\n          this.node.widgets[widgetIndex + w + 1].value =\n            node.widgets_values[i + ++linkedShift]\n        }\n      }\n    }\n  }\n\n  replaceNodes(nodes) {\n    let top\n    let left\n\n    for (let i = 0; i < nodes.length; i++) {\n      const node = nodes[i]\n      if (left == null || node.pos[0] < left) {\n        left = node.pos[0]\n      }\n      if (top == null || node.pos[1] < top) {\n        top = node.pos[1]\n      }\n\n      this.linkOutputs(node, i)\n      app.graph.remove(node)\n    }\n\n    this.linkInputs()\n    this.node.pos = [left, top]\n  }\n\n  linkOutputs(originalNode, nodeId) {\n    if (!originalNode.outputs) return\n\n    for (const output of originalNode.outputs) {\n      if (!output.links) continue\n      // Clone the links as they'll be changed if we reconnect\n      const links = [...output.links]\n      for (const l of links) {\n        const link = app.graph.links[l]\n        if (!link) continue\n\n        const targetNode = app.graph.getNodeById(link.target_id)\n        const newSlot =\n          this.groupData.oldToNewOutputMap[nodeId]?.[link.origin_slot]\n        if (newSlot != null) {\n          this.node.connect(newSlot, targetNode, link.target_slot)\n        }\n      }\n    }\n  }\n\n  linkInputs() {\n    for (const link of this.groupData.nodeData.links ?? []) {\n      const [, originSlot, targetId, targetSlot, actualOriginId] = link\n      const originNode = app.graph.getNodeById(actualOriginId)\n      if (!originNode) continue // this node is in the group\n      originNode.connect(\n        originSlot,\n        this.node.id,\n        this.groupData.oldToNewInputMap[targetId][targetSlot]\n      )\n    }\n  }\n\n  static getGroupData(node) {\n    return (node.nodeData ?? node.constructor?.nodeData)?.[GROUP]\n  }\n\n  static isGroupNode(node) {\n    return !!node.constructor?.nodeData?.[GROUP]\n  }\n\n  static async fromNodes(nodes) {\n    // Process the nodes into the stored workflow group node data\n    const builder = new GroupNodeBuilder(nodes)\n    const res = builder.build()\n    if (!res) return\n\n    const { name, nodeData } = res\n\n    // Convert this data into a LG node definition and register it\n    const config = new GroupNodeConfig(name, nodeData)\n    await config.registerType()\n\n    const groupNode = LiteGraph.createNode(`workflow/${name}`)\n    // Reuse the existing nodes for this instance\n    groupNode.setInnerNodes(builder.nodes)\n    groupNode[GROUP].populateWidgets()\n    app.graph.add(groupNode)\n\n    // Remove all converted nodes and relink them\n    groupNode[GROUP].replaceNodes(builder.nodes)\n    return groupNode\n  }\n}\n\nfunction addConvertToGroupOptions() {\n  function addConvertOption(options, index) {\n    const selected = Object.values(app.canvas.selected_nodes ?? {})\n    const disabled =\n      selected.length < 2 ||\n      selected.find((n) => GroupNodeHandler.isGroupNode(n))\n    options.splice(index + 1, null, {\n      content: `Convert to Group Node`,\n      disabled,\n      callback: async () => {\n        return await GroupNodeHandler.fromNodes(selected)\n      }\n    })\n  }\n\n  function addManageOption(options, index) {\n    const groups = app.graph.extra?.groupNodes\n    const disabled = !groups || !Object.keys(groups).length\n    options.splice(index + 1, null, {\n      content: `Manage Group Nodes`,\n      disabled,\n      callback: () => {\n        new ManageGroupDialog(app).show()\n      }\n    })\n  }\n\n  // Add to canvas\n  const getCanvasMenuOptions = LGraphCanvas.prototype.getCanvasMenuOptions\n  LGraphCanvas.prototype.getCanvasMenuOptions = function () {\n    const options = getCanvasMenuOptions.apply(this, arguments)\n    const index =\n      options.findIndex((o) => o?.content === 'Add Group') + 1 || options.length\n    addConvertOption(options, index)\n    addManageOption(options, index + 1)\n    return options\n  }\n\n  // Add to nodes\n  const getNodeMenuOptions = LGraphCanvas.prototype.getNodeMenuOptions\n  LGraphCanvas.prototype.getNodeMenuOptions = function (node) {\n    const options = getNodeMenuOptions.apply(this, arguments)\n    if (!GroupNodeHandler.isGroupNode(node)) {\n      const index =\n        options.findIndex((o) => o?.content === 'Outputs') + 1 ||\n        options.length - 1\n      addConvertOption(options, index)\n    }\n    return options\n  }\n}\n\nconst id = 'Comfy.GroupNode'\nlet globalDefs\nconst ext = {\n  name: id,\n  setup() {\n    addConvertToGroupOptions()\n  },\n  async beforeConfigureGraph(graphData, missingNodeTypes) {\n    const nodes = graphData?.extra?.groupNodes\n    if (nodes) {\n      await GroupNodeConfig.registerFromWorkflow(nodes, missingNodeTypes)\n    }\n  },\n  addCustomNodeDefs(defs) {\n    // Store this so we can mutate it later with group nodes\n    globalDefs = defs\n  },\n  nodeCreated(node) {\n    if (GroupNodeHandler.isGroupNode(node)) {\n      node[GROUP] = new GroupNodeHandler(node)\n    }\n  },\n  async refreshComboInNodes(defs) {\n    // Re-register group nodes so new ones are created with the correct options\n    Object.assign(globalDefs, defs)\n    const nodes = app.graph.extra?.groupNodes\n    if (nodes) {\n      await GroupNodeConfig.registerFromWorkflow(nodes, {})\n    }\n  }\n}\n\napp.registerExtension(ext)\n","import { app } from '../../scripts/app'\nimport { LGraphCanvas, LiteGraph } from '@comfyorg/litegraph'\n\nfunction setNodeMode(node, mode) {\n  node.mode = mode\n  node.graph.change()\n}\n\nfunction addNodesToGroup(group, nodes = []) {\n  var x1, y1, x2, y2\n  var nx1, ny1, nx2, ny2\n  var node\n\n  x1 = y1 = x2 = y2 = -1\n  nx1 = ny1 = nx2 = ny2 = -1\n\n  for (var n of [group._nodes, nodes]) {\n    for (var i in n) {\n      node = n[i]\n\n      nx1 = node.pos[0]\n      ny1 = node.pos[1]\n      nx2 = node.pos[0] + node.size[0]\n      ny2 = node.pos[1] + node.size[1]\n\n      if (node.type != 'Reroute') {\n        ny1 -= LiteGraph.NODE_TITLE_HEIGHT\n      }\n\n      if (node.flags?.collapsed) {\n        ny2 = ny1 + LiteGraph.NODE_TITLE_HEIGHT\n\n        if (node?._collapsed_width) {\n          nx2 = nx1 + Math.round(node._collapsed_width)\n        }\n      }\n\n      if (x1 == -1 || nx1 < x1) {\n        x1 = nx1\n      }\n\n      if (y1 == -1 || ny1 < y1) {\n        y1 = ny1\n      }\n\n      if (x2 == -1 || nx2 > x2) {\n        x2 = nx2\n      }\n\n      if (y2 == -1 || ny2 > y2) {\n        y2 = ny2\n      }\n    }\n  }\n\n  var padding = 10\n\n  y1 = y1 - Math.round(group.font_size * 1.4)\n\n  group.pos = [x1 - padding, y1 - padding]\n  group.size = [x2 - x1 + padding * 2, y2 - y1 + padding * 2]\n}\n\napp.registerExtension({\n  name: 'Comfy.GroupOptions',\n  setup() {\n    const orig = LGraphCanvas.prototype.getCanvasMenuOptions\n    // graph_mouse\n    LGraphCanvas.prototype.getCanvasMenuOptions = function () {\n      const options = orig.apply(this, arguments)\n      const group = this.graph.getGroupOnPos(\n        this.graph_mouse[0],\n        this.graph_mouse[1]\n      )\n      if (!group) {\n        options.push({\n          content: 'Add Group For Selected Nodes',\n          disabled: !Object.keys(app.canvas.selected_nodes || {}).length,\n          callback: () => {\n            // @ts-expect-error\n            var group = new LiteGraph.LGraphGroup()\n            addNodesToGroup(group, this.selected_nodes)\n            app.canvas.graph.add(group)\n            this.graph.change()\n          }\n        })\n\n        return options\n      }\n\n      // Group nodes aren't recomputed until the group is moved, this ensures the nodes are up-to-date\n      group.recomputeInsideNodes()\n      const nodesInGroup = group._nodes\n\n      options.push({\n        content: 'Add Selected Nodes To Group',\n        disabled: !Object.keys(app.canvas.selected_nodes || {}).length,\n        callback: () => {\n          addNodesToGroup(group, this.selected_nodes)\n          this.graph.change()\n        }\n      })\n\n      // No nodes in group, return default options\n      if (nodesInGroup.length === 0) {\n        return options\n      } else {\n        // Add a separator between the default options and the group options\n        options.push(null)\n      }\n\n      // Check if all nodes are the same mode\n      let allNodesAreSameMode = true\n      for (let i = 1; i < nodesInGroup.length; i++) {\n        if (nodesInGroup[i].mode !== nodesInGroup[0].mode) {\n          allNodesAreSameMode = false\n          break\n        }\n      }\n\n      options.push({\n        content: 'Fit Group To Nodes',\n        callback: () => {\n          addNodesToGroup(group)\n          this.graph.change()\n        }\n      })\n\n      options.push({\n        content: 'Select Nodes',\n        callback: () => {\n          this.selectNodes(nodesInGroup)\n          this.graph.change()\n          this.canvas.focus()\n        }\n      })\n\n      // Modes\n      // 0: Always\n      // 1: On Event\n      // 2: Never\n      // 3: On Trigger\n      // 4: Bypass\n      // If all nodes are the same mode, add a menu option to change the mode\n      if (allNodesAreSameMode) {\n        const mode = nodesInGroup[0].mode\n        switch (mode) {\n          case 0:\n            // All nodes are always, option to disable, and bypass\n            options.push({\n              content: 'Set Group Nodes to Never',\n              callback: () => {\n                for (const node of nodesInGroup) {\n                  setNodeMode(node, 2)\n                }\n              }\n            })\n            options.push({\n              content: 'Bypass Group Nodes',\n              callback: () => {\n                for (const node of nodesInGroup) {\n                  setNodeMode(node, 4)\n                }\n              }\n            })\n            break\n          case 2:\n            // All nodes are never, option to enable, and bypass\n            options.push({\n              content: 'Set Group Nodes to Always',\n              callback: () => {\n                for (const node of nodesInGroup) {\n                  setNodeMode(node, 0)\n                }\n              }\n            })\n            options.push({\n              content: 'Bypass Group Nodes',\n              callback: () => {\n                for (const node of nodesInGroup) {\n                  setNodeMode(node, 4)\n                }\n              }\n            })\n            break\n          case 4:\n            // All nodes are bypass, option to enable, and disable\n            options.push({\n              content: 'Set Group Nodes to Always',\n              callback: () => {\n                for (const node of nodesInGroup) {\n                  setNodeMode(node, 0)\n                }\n              }\n            })\n            options.push({\n              content: 'Set Group Nodes to Never',\n              callback: () => {\n                for (const node of nodesInGroup) {\n                  setNodeMode(node, 2)\n                }\n              }\n            })\n            break\n          default:\n            // All nodes are On Trigger or On Event(Or other?), option to disable, set to always, or bypass\n            options.push({\n              content: 'Set Group Nodes to Always',\n              callback: () => {\n                for (const node of nodesInGroup) {\n                  setNodeMode(node, 0)\n                }\n              }\n            })\n            options.push({\n              content: 'Set Group Nodes to Never',\n              callback: () => {\n                for (const node of nodesInGroup) {\n                  setNodeMode(node, 2)\n                }\n              }\n            })\n            options.push({\n              content: 'Bypass Group Nodes',\n              callback: () => {\n                for (const node of nodesInGroup) {\n                  setNodeMode(node, 4)\n                }\n              }\n            })\n            break\n        }\n      } else {\n        // Nodes are not all the same mode, add a menu option to change the mode to always, never, or bypass\n        options.push({\n          content: 'Set Group Nodes to Always',\n          callback: () => {\n            for (const node of nodesInGroup) {\n              setNodeMode(node, 0)\n            }\n          }\n        })\n        options.push({\n          content: 'Set Group Nodes to Never',\n          callback: () => {\n            for (const node of nodesInGroup) {\n              setNodeMode(node, 2)\n            }\n          }\n        })\n        options.push({\n          content: 'Bypass Group Nodes',\n          callback: () => {\n            for (const node of nodesInGroup) {\n              setNodeMode(node, 4)\n            }\n          }\n        })\n      }\n\n      return options\n    }\n  }\n})\n","import { LiteGraph } from '@comfyorg/litegraph'\nimport { app } from '../../scripts/app'\n\n// Inverts the scrolling of context menus\n\nconst id = 'Comfy.InvertMenuScrolling'\napp.registerExtension({\n  name: id,\n  init() {\n    const ctxMenu = LiteGraph.ContextMenu\n    const replace = () => {\n      // @ts-expect-error\n      LiteGraph.ContextMenu = function (values, options) {\n        options = options || {}\n        if (options.scroll_speed) {\n          options.scroll_speed *= -1\n        } else {\n          options.scroll_speed = -0.1\n        }\n        return ctxMenu.call(this, values, options)\n      }\n      LiteGraph.ContextMenu.prototype = ctxMenu.prototype\n    }\n    app.ui.settings.addSetting({\n      id,\n      category: ['Comfy', 'Graph', 'InvertMenuScrolling'],\n      name: 'Invert Context Menu Scrolling',\n      type: 'boolean',\n      defaultValue: false,\n      onChange(value) {\n        if (value) {\n          replace()\n        } else {\n          LiteGraph.ContextMenu = ctxMenu\n        }\n      }\n    })\n  }\n})\n","import { app } from '../../scripts/app'\nimport { api } from '../../scripts/api'\nimport { useToastStore } from '@/stores/toastStore'\n\napp.registerExtension({\n  name: 'Comfy.Keybinds',\n  init() {\n    const keybindListener = async function (event) {\n      const modifierPressed = event.ctrlKey || event.metaKey\n\n      // Queue prompt using (ctrl or command) + enter\n      if (modifierPressed && event.key === 'Enter') {\n        // Cancel current prompt using (ctrl or command) + alt + enter\n        if (event.altKey) {\n          await api.interrupt()\n          useToastStore().add({\n            severity: 'info',\n            summary: 'Interrupted',\n            detail: 'Execution has been interrupted',\n            life: 1000\n          })\n          return\n        }\n        // Queue prompt as first for generation using (ctrl or command) + shift + enter\n        app.queuePrompt(event.shiftKey ? -1 : 0).then()\n        return\n      }\n\n      const target = event.composedPath()[0]\n      if (\n        target.tagName === 'TEXTAREA' ||\n        target.tagName === 'INPUT' ||\n        (target.tagName === 'SPAN' &&\n          target.classList.contains('property_value'))\n      ) {\n        return\n      }\n\n      const modifierKeyIdMap = {\n        s: '#comfy-save-button',\n        o: '#comfy-file-input',\n        Backspace: '#comfy-clear-button',\n        d: '#comfy-load-default-button',\n        g: '#comfy-group-selected-nodes-button'\n      }\n\n      const modifierKeybindId = modifierKeyIdMap[event.key]\n      if (modifierPressed && modifierKeybindId) {\n        event.preventDefault()\n\n        const elem = document.querySelector(modifierKeybindId)\n        elem.click()\n        return\n      }\n\n      // Finished Handling all modifier keybinds, now handle the rest\n      if (event.ctrlKey || event.altKey || event.metaKey) {\n        return\n      }\n\n      // Close out of modals using escape\n      if (event.key === 'Escape') {\n        const modals = document.querySelectorAll<HTMLElement>('.comfy-modal')\n        const modal = Array.from(modals).find(\n          (modal) =>\n            window.getComputedStyle(modal).getPropertyValue('display') !==\n            'none'\n        )\n        if (modal) {\n          modal.style.display = 'none'\n        }\n\n        ;[...document.querySelectorAll('dialog')].forEach((d) => {\n          d.close()\n        })\n      }\n\n      const keyIdMap = {\n        q: '.queue-tab-button.side-bar-button',\n        h: '.queue-tab-button.side-bar-button',\n        r: '#comfy-refresh-button'\n      }\n\n      const buttonId = keyIdMap[event.key]\n      if (buttonId) {\n        const button = document.querySelector(buttonId)\n        button.click()\n      }\n    }\n\n    window.addEventListener('keydown', keybindListener, true)\n  }\n})\n","import { app } from '../../scripts/app'\nimport { LiteGraph } from '@comfyorg/litegraph'\nconst id = 'Comfy.LinkRenderMode'\nconst ext = {\n  name: id,\n  async setup(app) {\n    app.ui.settings.addSetting({\n      id,\n      category: ['Comfy', 'Graph', 'LinkRenderMode'],\n      name: 'Link Render Mode',\n      defaultValue: 2,\n      type: 'combo',\n      // @ts-expect-error\n      options: [...LiteGraph.LINK_RENDER_MODES, 'Hidden'].map((m, i) => ({\n        value: i,\n        text: m,\n        selected: i == app.canvas.links_render_mode\n      })),\n      onChange(value) {\n        app.canvas.links_render_mode = +value\n        app.graph.setDirtyCanvas(true)\n      }\n    })\n  }\n}\n\napp.registerExtension(ext)\n","import { app } from '../../scripts/app'\nimport { ComfyDialog, $el } from '../../scripts/ui'\nimport { ComfyApp } from '../../scripts/app'\nimport { api } from '../../scripts/api'\nimport { ClipspaceDialog } from './clipspace'\n\n// Helper function to convert a data URL to a Blob object\nfunction dataURLToBlob(dataURL) {\n  const parts = dataURL.split(';base64,')\n  const contentType = parts[0].split(':')[1]\n  const byteString = atob(parts[1])\n  const arrayBuffer = new ArrayBuffer(byteString.length)\n  const uint8Array = new Uint8Array(arrayBuffer)\n  for (let i = 0; i < byteString.length; i++) {\n    uint8Array[i] = byteString.charCodeAt(i)\n  }\n  return new Blob([arrayBuffer], { type: contentType })\n}\n\nfunction loadedImageToBlob(image) {\n  const canvas = document.createElement('canvas')\n\n  canvas.width = image.width\n  canvas.height = image.height\n\n  const ctx = canvas.getContext('2d')\n\n  ctx.drawImage(image, 0, 0)\n\n  const dataURL = canvas.toDataURL('image/png', 1)\n  const blob = dataURLToBlob(dataURL)\n\n  return blob\n}\n\nfunction loadImage(imagePath) {\n  return new Promise((resolve, reject) => {\n    const image = new Image()\n\n    image.onload = function () {\n      resolve(image)\n    }\n\n    image.src = imagePath\n  })\n}\n\nasync function uploadMask(filepath, formData) {\n  await api\n    .fetchApi('/upload/mask', {\n      method: 'POST',\n      body: formData\n    })\n    .then((response) => {})\n    .catch((error) => {\n      console.error('Error:', error)\n    })\n\n  ComfyApp.clipspace.imgs[ComfyApp.clipspace['selectedIndex']] = new Image()\n  ComfyApp.clipspace.imgs[ComfyApp.clipspace['selectedIndex']].src = api.apiURL(\n    '/view?' +\n      new URLSearchParams(filepath).toString() +\n      app.getPreviewFormatParam() +\n      app.getRandParam()\n  )\n\n  if (ComfyApp.clipspace.images)\n    ComfyApp.clipspace.images[ComfyApp.clipspace['selectedIndex']] = filepath\n\n  ClipspaceDialog.invalidatePreview()\n}\n\nfunction prepare_mask(image, maskCanvas, maskCtx, maskColor) {\n  // paste mask data into alpha channel\n  maskCtx.drawImage(image, 0, 0, maskCanvas.width, maskCanvas.height)\n  const maskData = maskCtx.getImageData(\n    0,\n    0,\n    maskCanvas.width,\n    maskCanvas.height\n  )\n\n  // invert mask\n  for (let i = 0; i < maskData.data.length; i += 4) {\n    if (maskData.data[i + 3] == 255) maskData.data[i + 3] = 0\n    else maskData.data[i + 3] = 255\n\n    maskData.data[i] = maskColor.r\n    maskData.data[i + 1] = maskColor.g\n    maskData.data[i + 2] = maskColor.b\n  }\n\n  maskCtx.globalCompositeOperation = 'source-over'\n  maskCtx.putImageData(maskData, 0, 0)\n}\n\nclass MaskEditorDialog extends ComfyDialog {\n  static instance = null\n  static mousedown_x: number | null = null\n  static mousedown_y: number | null = null\n\n  brush: HTMLDivElement\n  maskCtx: any\n  maskCanvas: HTMLCanvasElement\n  brush_size_slider: HTMLDivElement\n  brush_opacity_slider: HTMLDivElement\n  colorButton: HTMLButtonElement\n  saveButton: HTMLButtonElement\n  zoom_ratio: number\n  pan_x: number\n  pan_y: number\n  imgCanvas: HTMLCanvasElement\n  last_display_style: string\n  is_visible: boolean\n  image: HTMLImageElement\n  handler_registered: boolean\n  brush_slider_input: HTMLInputElement\n  cursorX: number\n  cursorY: number\n  mousedown_pan_x: number\n  mousedown_pan_y: number\n  last_pressure: number\n\n  static getInstance() {\n    if (!MaskEditorDialog.instance) {\n      MaskEditorDialog.instance = new MaskEditorDialog()\n    }\n\n    return MaskEditorDialog.instance\n  }\n\n  is_layout_created = false\n\n  constructor() {\n    super()\n    this.element = $el('div.comfy-modal', { parent: document.body }, [\n      $el('div.comfy-modal-content', [...this.createButtons()])\n    ])\n  }\n\n  createButtons() {\n    return []\n  }\n\n  createButton(name, callback): HTMLButtonElement {\n    var button = document.createElement('button')\n    button.style.pointerEvents = 'auto'\n    button.innerText = name\n    button.addEventListener('click', callback)\n    return button\n  }\n\n  createLeftButton(name, callback) {\n    var button = this.createButton(name, callback)\n    button.style.cssFloat = 'left'\n    button.style.marginRight = '4px'\n    return button\n  }\n\n  createRightButton(name, callback) {\n    var button = this.createButton(name, callback)\n    button.style.cssFloat = 'right'\n    button.style.marginLeft = '4px'\n    return button\n  }\n\n  createLeftSlider(self, name, callback): HTMLDivElement {\n    const divElement = document.createElement('div')\n    divElement.id = 'maskeditor-slider'\n    divElement.style.cssFloat = 'left'\n    divElement.style.fontFamily = 'sans-serif'\n    divElement.style.marginRight = '4px'\n    divElement.style.color = 'var(--input-text)'\n    divElement.style.backgroundColor = 'var(--comfy-input-bg)'\n    divElement.style.borderRadius = '8px'\n    divElement.style.borderColor = 'var(--border-color)'\n    divElement.style.borderStyle = 'solid'\n    divElement.style.fontSize = '15px'\n    divElement.style.height = '21px'\n    divElement.style.padding = '1px 6px'\n    divElement.style.display = 'flex'\n    divElement.style.position = 'relative'\n    divElement.style.top = '2px'\n    divElement.style.pointerEvents = 'auto'\n    self.brush_slider_input = document.createElement('input')\n    self.brush_slider_input.setAttribute('type', 'range')\n    self.brush_slider_input.setAttribute('min', '1')\n    self.brush_slider_input.setAttribute('max', '100')\n    self.brush_slider_input.setAttribute('value', '10')\n    const labelElement = document.createElement('label')\n    labelElement.textContent = name\n\n    divElement.appendChild(labelElement)\n    divElement.appendChild(self.brush_slider_input)\n\n    self.brush_slider_input.addEventListener('change', callback)\n\n    return divElement\n  }\n\n  createOpacitySlider(self, name, callback): HTMLDivElement {\n    const divElement = document.createElement('div')\n    divElement.id = 'maskeditor-opacity-slider'\n    divElement.style.cssFloat = 'left'\n    divElement.style.fontFamily = 'sans-serif'\n    divElement.style.marginRight = '4px'\n    divElement.style.color = 'var(--input-text)'\n    divElement.style.backgroundColor = 'var(--comfy-input-bg)'\n    divElement.style.borderRadius = '8px'\n    divElement.style.borderColor = 'var(--border-color)'\n    divElement.style.borderStyle = 'solid'\n    divElement.style.fontSize = '15px'\n    divElement.style.height = '21px'\n    divElement.style.padding = '1px 6px'\n    divElement.style.display = 'flex'\n    divElement.style.position = 'relative'\n    divElement.style.top = '2px'\n    divElement.style.pointerEvents = 'auto'\n    self.opacity_slider_input = document.createElement('input')\n    self.opacity_slider_input.setAttribute('type', 'range')\n    self.opacity_slider_input.setAttribute('min', '0.1')\n    self.opacity_slider_input.setAttribute('max', '1.0')\n    self.opacity_slider_input.setAttribute('step', '0.01')\n    self.opacity_slider_input.setAttribute('value', '0.7')\n    const labelElement = document.createElement('label')\n    labelElement.textContent = name\n\n    divElement.appendChild(labelElement)\n    divElement.appendChild(self.opacity_slider_input)\n\n    self.opacity_slider_input.addEventListener('input', callback)\n\n    return divElement\n  }\n\n  setlayout(imgCanvas: HTMLCanvasElement, maskCanvas: HTMLCanvasElement) {\n    const self = this\n\n    // If it is specified as relative, using it only as a hidden placeholder for padding is recommended\n    // to prevent anomalies where it exceeds a certain size and goes outside of the window.\n    var bottom_panel = document.createElement('div')\n    bottom_panel.style.position = 'absolute'\n    bottom_panel.style.bottom = '0px'\n    bottom_panel.style.left = '20px'\n    bottom_panel.style.right = '20px'\n    bottom_panel.style.height = '50px'\n    bottom_panel.style.pointerEvents = 'none'\n\n    var brush = document.createElement('div')\n    brush.id = 'brush'\n    brush.style.backgroundColor = 'transparent'\n    brush.style.outline = '1px dashed black'\n    brush.style.boxShadow = '0 0 0 1px white'\n    brush.style.borderRadius = '50%'\n    // @ts-expect-error\n    brush.style.MozBorderRadius = '50%'\n    // @ts-expect-error\n    brush.style.WebkitBorderRadius = '50%'\n    brush.style.position = 'absolute'\n    brush.style.zIndex = '8889'\n    brush.style.pointerEvents = 'none'\n    this.brush = brush\n    this.element.appendChild(imgCanvas)\n    this.element.appendChild(maskCanvas)\n    this.element.appendChild(bottom_panel)\n    document.body.appendChild(brush)\n\n    var clearButton = this.createLeftButton('Clear', () => {\n      self.maskCtx.clearRect(\n        0,\n        0,\n        self.maskCanvas.width,\n        self.maskCanvas.height\n      )\n    })\n\n    this.brush_size_slider = this.createLeftSlider(\n      self,\n      'Thickness',\n      (event) => {\n        self.brush_size = event.target.value\n        self.updateBrushPreview(self)\n      }\n    )\n\n    this.brush_opacity_slider = this.createOpacitySlider(\n      self,\n      'Opacity',\n      (event) => {\n        self.brush_opacity = event.target.value\n        if (self.brush_color_mode !== 'negative') {\n          self.maskCanvas.style.opacity = self.brush_opacity.toString()\n        }\n      }\n    )\n\n    this.colorButton = this.createLeftButton(this.getColorButtonText(), () => {\n      if (self.brush_color_mode === 'black') {\n        self.brush_color_mode = 'white'\n      } else if (self.brush_color_mode === 'white') {\n        self.brush_color_mode = 'negative'\n      } else {\n        self.brush_color_mode = 'black'\n      }\n\n      self.updateWhenBrushColorModeChanged()\n    })\n\n    var cancelButton = this.createRightButton('Cancel', () => {\n      document.removeEventListener('keydown', MaskEditorDialog.handleKeyDown)\n      self.close()\n    })\n\n    this.saveButton = this.createRightButton('Save', () => {\n      document.removeEventListener('keydown', MaskEditorDialog.handleKeyDown)\n      self.save()\n    })\n\n    this.element.appendChild(imgCanvas)\n    this.element.appendChild(maskCanvas)\n    this.element.appendChild(bottom_panel)\n\n    bottom_panel.appendChild(clearButton)\n    bottom_panel.appendChild(this.saveButton)\n    bottom_panel.appendChild(cancelButton)\n    bottom_panel.appendChild(this.brush_size_slider)\n    bottom_panel.appendChild(this.brush_opacity_slider)\n    bottom_panel.appendChild(this.colorButton)\n\n    imgCanvas.style.position = 'absolute'\n    maskCanvas.style.position = 'absolute'\n\n    imgCanvas.style.top = '200'\n    imgCanvas.style.left = '0'\n\n    maskCanvas.style.top = imgCanvas.style.top\n    maskCanvas.style.left = imgCanvas.style.left\n\n    const maskCanvasStyle = this.getMaskCanvasStyle()\n    maskCanvas.style.mixBlendMode = maskCanvasStyle.mixBlendMode\n    maskCanvas.style.opacity = maskCanvasStyle.opacity.toString()\n  }\n\n  async show() {\n    this.zoom_ratio = 1.0\n    this.pan_x = 0\n    this.pan_y = 0\n\n    if (!this.is_layout_created) {\n      // layout\n      const imgCanvas = document.createElement('canvas')\n      const maskCanvas = document.createElement('canvas')\n\n      imgCanvas.id = 'imageCanvas'\n      maskCanvas.id = 'maskCanvas'\n\n      this.setlayout(imgCanvas, maskCanvas)\n\n      // prepare content\n      this.imgCanvas = imgCanvas\n      this.maskCanvas = maskCanvas\n      this.maskCtx = maskCanvas.getContext('2d', { willReadFrequently: true })\n\n      this.setEventHandler(maskCanvas)\n\n      this.is_layout_created = true\n\n      // replacement of onClose hook since close is not real close\n      const self = this\n      const observer = new MutationObserver(function (mutations) {\n        mutations.forEach(function (mutation) {\n          if (\n            mutation.type === 'attributes' &&\n            mutation.attributeName === 'style'\n          ) {\n            if (\n              self.last_display_style &&\n              self.last_display_style != 'none' &&\n              self.element.style.display == 'none'\n            ) {\n              self.brush.style.display = 'none'\n              ComfyApp.onClipspaceEditorClosed()\n            }\n\n            self.last_display_style = self.element.style.display\n          }\n        })\n      })\n\n      const config = { attributes: true }\n      observer.observe(this.element, config)\n    }\n\n    // The keydown event needs to be reconfigured when closing the dialog as it gets removed.\n    document.addEventListener('keydown', MaskEditorDialog.handleKeyDown)\n\n    if (ComfyApp.clipspace_return_node) {\n      this.saveButton.innerText = 'Save to node'\n    } else {\n      this.saveButton.innerText = 'Save'\n    }\n    this.saveButton.disabled = false\n\n    this.element.style.display = 'block'\n    this.element.style.width = '85%'\n    this.element.style.margin = '0 7.5%'\n    this.element.style.height = '100vh'\n    this.element.style.top = '50%'\n    this.element.style.left = '42%'\n    this.element.style.zIndex = '8888' // NOTE: alert dialog must be high priority.\n\n    await this.setImages(this.imgCanvas)\n\n    this.is_visible = true\n  }\n\n  isOpened() {\n    return this.element.style.display == 'block'\n  }\n\n  invalidateCanvas(orig_image, mask_image) {\n    this.imgCanvas.width = orig_image.width\n    this.imgCanvas.height = orig_image.height\n\n    this.maskCanvas.width = orig_image.width\n    this.maskCanvas.height = orig_image.height\n\n    let imgCtx = this.imgCanvas.getContext('2d', { willReadFrequently: true })\n    let maskCtx = this.maskCanvas.getContext('2d', {\n      willReadFrequently: true\n    })\n\n    imgCtx.drawImage(orig_image, 0, 0, orig_image.width, orig_image.height)\n    prepare_mask(mask_image, this.maskCanvas, maskCtx, this.getMaskColor())\n  }\n\n  async setImages(imgCanvas) {\n    let self = this\n\n    const imgCtx = imgCanvas.getContext('2d', { willReadFrequently: true })\n    const maskCtx = this.maskCtx\n    const maskCanvas = this.maskCanvas\n\n    imgCtx.clearRect(0, 0, this.imgCanvas.width, this.imgCanvas.height)\n    maskCtx.clearRect(0, 0, this.maskCanvas.width, this.maskCanvas.height)\n\n    // image load\n    const filepath = ComfyApp.clipspace.images\n\n    const alpha_url = new URL(\n      ComfyApp.clipspace.imgs[ComfyApp.clipspace['selectedIndex']].src\n    )\n    alpha_url.searchParams.delete('channel')\n    alpha_url.searchParams.delete('preview')\n    alpha_url.searchParams.set('channel', 'a')\n    let mask_image = await loadImage(alpha_url)\n\n    // original image load\n    const rgb_url = new URL(\n      ComfyApp.clipspace.imgs[ComfyApp.clipspace['selectedIndex']].src\n    )\n    rgb_url.searchParams.delete('channel')\n    rgb_url.searchParams.set('channel', 'rgb')\n    this.image = new Image()\n    this.image.onload = function () {\n      maskCanvas.width = self.image.width\n      maskCanvas.height = self.image.height\n\n      self.invalidateCanvas(self.image, mask_image)\n      self.initializeCanvasPanZoom()\n    }\n    this.image.src = rgb_url.toString()\n  }\n\n  initializeCanvasPanZoom() {\n    // set initialize\n    let drawWidth = this.image.width\n    let drawHeight = this.image.height\n\n    let width = this.element.clientWidth\n    let height = this.element.clientHeight\n\n    if (this.image.width > width) {\n      drawWidth = width\n      drawHeight = (drawWidth / this.image.width) * this.image.height\n    }\n\n    if (drawHeight > height) {\n      drawHeight = height\n      drawWidth = (drawHeight / this.image.height) * this.image.width\n    }\n\n    this.zoom_ratio = drawWidth / this.image.width\n\n    const canvasX = (width - drawWidth) / 2\n    const canvasY = (height - drawHeight) / 2\n    this.pan_x = canvasX\n    this.pan_y = canvasY\n\n    this.invalidatePanZoom()\n  }\n\n  invalidatePanZoom() {\n    let raw_width = this.image.width * this.zoom_ratio\n    let raw_height = this.image.height * this.zoom_ratio\n\n    if (this.pan_x + raw_width < 10) {\n      this.pan_x = 10 - raw_width\n    }\n\n    if (this.pan_y + raw_height < 10) {\n      this.pan_y = 10 - raw_height\n    }\n\n    let width = `${raw_width}px`\n    let height = `${raw_height}px`\n\n    let left = `${this.pan_x}px`\n    let top = `${this.pan_y}px`\n\n    this.maskCanvas.style.width = width\n    this.maskCanvas.style.height = height\n    this.maskCanvas.style.left = left\n    this.maskCanvas.style.top = top\n\n    this.imgCanvas.style.width = width\n    this.imgCanvas.style.height = height\n    this.imgCanvas.style.left = left\n    this.imgCanvas.style.top = top\n  }\n\n  setEventHandler(maskCanvas) {\n    const self = this\n\n    if (!this.handler_registered) {\n      maskCanvas.addEventListener('contextmenu', (event) => {\n        event.preventDefault()\n      })\n\n      this.element.addEventListener('wheel', (event) =>\n        this.handleWheelEvent(self, event)\n      )\n      this.element.addEventListener('pointermove', (event) =>\n        this.pointMoveEvent(self, event)\n      )\n      this.element.addEventListener('touchmove', (event) =>\n        this.pointMoveEvent(self, event)\n      )\n\n      this.element.addEventListener('dragstart', (event) => {\n        if (event.ctrlKey) {\n          event.preventDefault()\n        }\n      })\n\n      maskCanvas.addEventListener('pointerdown', (event) =>\n        this.handlePointerDown(self, event)\n      )\n      maskCanvas.addEventListener('pointermove', (event) =>\n        this.draw_move(self, event)\n      )\n      maskCanvas.addEventListener('touchmove', (event) =>\n        this.draw_move(self, event)\n      )\n      maskCanvas.addEventListener('pointerover', (event) => {\n        this.brush.style.display = 'block'\n      })\n      maskCanvas.addEventListener('pointerleave', (event) => {\n        this.brush.style.display = 'none'\n      })\n\n      document.addEventListener('pointerup', MaskEditorDialog.handlePointerUp)\n\n      this.handler_registered = true\n    }\n  }\n\n  getMaskCanvasStyle() {\n    if (this.brush_color_mode === 'negative') {\n      return {\n        mixBlendMode: 'difference',\n        opacity: '1'\n      }\n    } else {\n      return {\n        mixBlendMode: 'initial',\n        opacity: this.brush_opacity\n      }\n    }\n  }\n\n  getMaskColor() {\n    if (this.brush_color_mode === 'black') {\n      return { r: 0, g: 0, b: 0 }\n    }\n    if (this.brush_color_mode === 'white') {\n      return { r: 255, g: 255, b: 255 }\n    }\n    if (this.brush_color_mode === 'negative') {\n      // negative effect only works with white color\n      return { r: 255, g: 255, b: 255 }\n    }\n\n    return { r: 0, g: 0, b: 0 }\n  }\n\n  getMaskFillStyle() {\n    const maskColor = this.getMaskColor()\n\n    return 'rgb(' + maskColor.r + ',' + maskColor.g + ',' + maskColor.b + ')'\n  }\n\n  getColorButtonText() {\n    let colorCaption = 'unknown'\n\n    if (this.brush_color_mode === 'black') {\n      colorCaption = 'black'\n    } else if (this.brush_color_mode === 'white') {\n      colorCaption = 'white'\n    } else if (this.brush_color_mode === 'negative') {\n      colorCaption = 'negative'\n    }\n\n    return 'Color: ' + colorCaption\n  }\n\n  updateWhenBrushColorModeChanged() {\n    this.colorButton.innerText = this.getColorButtonText()\n\n    // update mask canvas css styles\n\n    const maskCanvasStyle = this.getMaskCanvasStyle()\n    this.maskCanvas.style.mixBlendMode = maskCanvasStyle.mixBlendMode\n    this.maskCanvas.style.opacity = maskCanvasStyle.opacity.toString()\n\n    // update mask canvas rgb colors\n\n    const maskColor = this.getMaskColor()\n\n    const maskData = this.maskCtx.getImageData(\n      0,\n      0,\n      this.maskCanvas.width,\n      this.maskCanvas.height\n    )\n\n    for (let i = 0; i < maskData.data.length; i += 4) {\n      maskData.data[i] = maskColor.r\n      maskData.data[i + 1] = maskColor.g\n      maskData.data[i + 2] = maskColor.b\n    }\n\n    this.maskCtx.putImageData(maskData, 0, 0)\n  }\n\n  brush_opacity = 0.7\n  brush_size = 10\n  brush_color_mode = 'black'\n  drawing_mode = false\n  lastx = -1\n  lasty = -1\n  lasttime = 0\n\n  static handleKeyDown(event) {\n    const self = MaskEditorDialog.instance\n    if (event.key === ']') {\n      self.brush_size = Math.min(self.brush_size + 2, 100)\n      self.brush_slider_input.value = self.brush_size\n    } else if (event.key === '[') {\n      self.brush_size = Math.max(self.brush_size - 2, 1)\n      self.brush_slider_input.value = self.brush_size\n    } else if (event.key === 'Enter') {\n      self.save()\n    }\n\n    self.updateBrushPreview(self)\n  }\n\n  static handlePointerUp(event) {\n    event.preventDefault()\n\n    this.mousedown_x = null\n    this.mousedown_y = null\n\n    MaskEditorDialog.instance.drawing_mode = false\n  }\n\n  updateBrushPreview(self) {\n    const brush = self.brush\n\n    var centerX = self.cursorX\n    var centerY = self.cursorY\n\n    brush.style.width = self.brush_size * 2 * this.zoom_ratio + 'px'\n    brush.style.height = self.brush_size * 2 * this.zoom_ratio + 'px'\n    brush.style.left = centerX - self.brush_size * this.zoom_ratio + 'px'\n    brush.style.top = centerY - self.brush_size * this.zoom_ratio + 'px'\n  }\n\n  handleWheelEvent(self, event) {\n    event.preventDefault()\n\n    if (event.ctrlKey) {\n      // zoom canvas\n      if (event.deltaY < 0) {\n        this.zoom_ratio = Math.min(10.0, this.zoom_ratio + 0.2)\n      } else {\n        this.zoom_ratio = Math.max(0.2, this.zoom_ratio - 0.2)\n      }\n\n      this.invalidatePanZoom()\n    } else {\n      // adjust brush size\n      if (event.deltaY < 0) this.brush_size = Math.min(this.brush_size + 2, 100)\n      else this.brush_size = Math.max(this.brush_size - 2, 1)\n\n      this.brush_slider_input.value = this.brush_size.toString()\n\n      this.updateBrushPreview(this)\n    }\n  }\n\n  pointMoveEvent(self, event) {\n    this.cursorX = event.pageX\n    this.cursorY = event.pageY\n\n    self.updateBrushPreview(self)\n\n    if (event.ctrlKey) {\n      event.preventDefault()\n      self.pan_move(self, event)\n    }\n\n    let left_button_down =\n      (window.TouchEvent && event instanceof TouchEvent) || event.buttons == 1\n\n    if (event.shiftKey && left_button_down) {\n      self.drawing_mode = false\n\n      const y = event.clientY\n      let delta = (self.zoom_lasty - y) * 0.005\n      self.zoom_ratio = Math.max(\n        Math.min(10.0, self.last_zoom_ratio - delta),\n        0.2\n      )\n\n      this.invalidatePanZoom()\n      return\n    }\n  }\n\n  pan_move(self, event) {\n    if (event.buttons == 1) {\n      if (MaskEditorDialog.mousedown_x) {\n        let deltaX = MaskEditorDialog.mousedown_x - event.clientX\n        let deltaY = MaskEditorDialog.mousedown_y - event.clientY\n\n        self.pan_x = this.mousedown_pan_x - deltaX\n        self.pan_y = this.mousedown_pan_y - deltaY\n\n        self.invalidatePanZoom()\n      }\n    }\n  }\n\n  draw_move(self, event) {\n    if (event.ctrlKey || event.shiftKey) {\n      return\n    }\n\n    event.preventDefault()\n\n    this.cursorX = event.pageX\n    this.cursorY = event.pageY\n\n    self.updateBrushPreview(self)\n\n    let left_button_down =\n      (window.TouchEvent && event instanceof TouchEvent) || event.buttons == 1\n    let right_button_down = [2, 5, 32].includes(event.buttons)\n\n    if (!event.altKey && left_button_down) {\n      var diff = performance.now() - self.lasttime\n\n      const maskRect = self.maskCanvas.getBoundingClientRect()\n\n      var x = event.offsetX\n      var y = event.offsetY\n\n      if (event.offsetX == null) {\n        x = event.targetTouches[0].clientX - maskRect.left\n      }\n\n      if (event.offsetY == null) {\n        y = event.targetTouches[0].clientY - maskRect.top\n      }\n\n      x /= self.zoom_ratio\n      y /= self.zoom_ratio\n\n      var brush_size = this.brush_size\n      if (event instanceof PointerEvent && event.pointerType == 'pen') {\n        brush_size *= event.pressure\n        this.last_pressure = event.pressure\n      } else if (\n        window.TouchEvent &&\n        event instanceof TouchEvent &&\n        diff < 20\n      ) {\n        // The firing interval of PointerEvents in Pen is unreliable, so it is supplemented by TouchEvents.\n        brush_size *= this.last_pressure\n      } else {\n        brush_size = this.brush_size\n      }\n\n      if (diff > 20 && !this.drawing_mode)\n        requestAnimationFrame(() => {\n          self.maskCtx.beginPath()\n          self.maskCtx.fillStyle = this.getMaskFillStyle()\n          self.maskCtx.globalCompositeOperation = 'source-over'\n          self.maskCtx.arc(x, y, brush_size, 0, Math.PI * 2, false)\n          self.maskCtx.fill()\n          self.lastx = x\n          self.lasty = y\n        })\n      else\n        requestAnimationFrame(() => {\n          self.maskCtx.beginPath()\n          self.maskCtx.fillStyle = this.getMaskFillStyle()\n          self.maskCtx.globalCompositeOperation = 'source-over'\n\n          var dx = x - self.lastx\n          var dy = y - self.lasty\n\n          var distance = Math.sqrt(dx * dx + dy * dy)\n          var directionX = dx / distance\n          var directionY = dy / distance\n\n          for (var i = 0; i < distance; i += 5) {\n            var px = self.lastx + directionX * i\n            var py = self.lasty + directionY * i\n            self.maskCtx.arc(px, py, brush_size, 0, Math.PI * 2, false)\n            self.maskCtx.fill()\n          }\n          self.lastx = x\n          self.lasty = y\n        })\n\n      self.lasttime = performance.now()\n    } else if ((event.altKey && left_button_down) || right_button_down) {\n      const maskRect = self.maskCanvas.getBoundingClientRect()\n      const x =\n        (event.offsetX || event.targetTouches[0].clientX - maskRect.left) /\n        self.zoom_ratio\n      const y =\n        (event.offsetY || event.targetTouches[0].clientY - maskRect.top) /\n        self.zoom_ratio\n\n      var brush_size = this.brush_size\n      if (event instanceof PointerEvent && event.pointerType == 'pen') {\n        brush_size *= event.pressure\n        this.last_pressure = event.pressure\n      } else if (\n        window.TouchEvent &&\n        event instanceof TouchEvent &&\n        diff < 20\n      ) {\n        brush_size *= this.last_pressure\n      } else {\n        brush_size = this.brush_size\n      }\n\n      if (diff > 20 && !this.drawing_mode)\n        // cannot tracking drawing_mode for touch event\n        requestAnimationFrame(() => {\n          self.maskCtx.beginPath()\n          self.maskCtx.globalCompositeOperation = 'destination-out'\n          self.maskCtx.arc(x, y, brush_size, 0, Math.PI * 2, false)\n          self.maskCtx.fill()\n          self.lastx = x\n          self.lasty = y\n        })\n      else\n        requestAnimationFrame(() => {\n          self.maskCtx.beginPath()\n          self.maskCtx.globalCompositeOperation = 'destination-out'\n\n          var dx = x - self.lastx\n          var dy = y - self.lasty\n\n          var distance = Math.sqrt(dx * dx + dy * dy)\n          var directionX = dx / distance\n          var directionY = dy / distance\n\n          for (var i = 0; i < distance; i += 5) {\n            var px = self.lastx + directionX * i\n            var py = self.lasty + directionY * i\n            self.maskCtx.arc(px, py, brush_size, 0, Math.PI * 2, false)\n            self.maskCtx.fill()\n          }\n          self.lastx = x\n          self.lasty = y\n        })\n\n      self.lasttime = performance.now()\n    }\n  }\n\n  handlePointerDown(self, event) {\n    if (event.ctrlKey) {\n      if (event.buttons == 1) {\n        MaskEditorDialog.mousedown_x = event.clientX\n        MaskEditorDialog.mousedown_y = event.clientY\n\n        this.mousedown_pan_x = this.pan_x\n        this.mousedown_pan_y = this.pan_y\n      }\n      return\n    }\n\n    var brush_size = this.brush_size\n    if (event instanceof PointerEvent && event.pointerType == 'pen') {\n      brush_size *= event.pressure\n      this.last_pressure = event.pressure\n    }\n\n    if ([0, 2, 5].includes(event.button)) {\n      self.drawing_mode = true\n\n      event.preventDefault()\n\n      if (event.shiftKey) {\n        self.zoom_lasty = event.clientY\n        self.last_zoom_ratio = self.zoom_ratio\n        return\n      }\n\n      const maskRect = self.maskCanvas.getBoundingClientRect()\n      const x =\n        (event.offsetX || event.targetTouches[0].clientX - maskRect.left) /\n        self.zoom_ratio\n      const y =\n        (event.offsetY || event.targetTouches[0].clientY - maskRect.top) /\n        self.zoom_ratio\n\n      self.maskCtx.beginPath()\n      if (!event.altKey && event.button == 0) {\n        self.maskCtx.fillStyle = this.getMaskFillStyle()\n        self.maskCtx.globalCompositeOperation = 'source-over'\n      } else {\n        self.maskCtx.globalCompositeOperation = 'destination-out'\n      }\n      self.maskCtx.arc(x, y, brush_size, 0, Math.PI * 2, false)\n      self.maskCtx.fill()\n      self.lastx = x\n      self.lasty = y\n      self.lasttime = performance.now()\n    }\n  }\n\n  async save() {\n    const backupCanvas = document.createElement('canvas')\n    const backupCtx = backupCanvas.getContext('2d', {\n      willReadFrequently: true\n    })\n    backupCanvas.width = this.image.width\n    backupCanvas.height = this.image.height\n\n    backupCtx.clearRect(0, 0, backupCanvas.width, backupCanvas.height)\n    backupCtx.drawImage(\n      this.maskCanvas,\n      0,\n      0,\n      this.maskCanvas.width,\n      this.maskCanvas.height,\n      0,\n      0,\n      backupCanvas.width,\n      backupCanvas.height\n    )\n\n    // paste mask data into alpha channel\n    const backupData = backupCtx.getImageData(\n      0,\n      0,\n      backupCanvas.width,\n      backupCanvas.height\n    )\n\n    // refine mask image\n    for (let i = 0; i < backupData.data.length; i += 4) {\n      if (backupData.data[i + 3] == 255) backupData.data[i + 3] = 0\n      else backupData.data[i + 3] = 255\n\n      backupData.data[i] = 0\n      backupData.data[i + 1] = 0\n      backupData.data[i + 2] = 0\n    }\n\n    backupCtx.globalCompositeOperation = 'source-over'\n    backupCtx.putImageData(backupData, 0, 0)\n\n    const formData = new FormData()\n    const filename = 'clipspace-mask-' + performance.now() + '.png'\n\n    const item = {\n      filename: filename,\n      subfolder: 'clipspace',\n      type: 'input'\n    }\n\n    if (ComfyApp.clipspace.images) ComfyApp.clipspace.images[0] = item\n\n    if (ComfyApp.clipspace.widgets) {\n      const index = ComfyApp.clipspace.widgets.findIndex(\n        (obj) => obj.name === 'image'\n      )\n\n      if (index >= 0) ComfyApp.clipspace.widgets[index].value = item\n    }\n\n    const dataURL = backupCanvas.toDataURL()\n    const blob = dataURLToBlob(dataURL)\n\n    let original_url = new URL(this.image.src)\n\n    type Ref = { filename: string; subfolder?: string; type?: string }\n\n    const original_ref: Ref = {\n      filename: original_url.searchParams.get('filename')\n    }\n\n    let original_subfolder = original_url.searchParams.get('subfolder')\n    if (original_subfolder) original_ref.subfolder = original_subfolder\n\n    let original_type = original_url.searchParams.get('type')\n    if (original_type) original_ref.type = original_type\n\n    formData.append('image', blob, filename)\n    formData.append('original_ref', JSON.stringify(original_ref))\n    formData.append('type', 'input')\n    formData.append('subfolder', 'clipspace')\n\n    this.saveButton.innerText = 'Saving...'\n    this.saveButton.disabled = true\n    await uploadMask(item, formData)\n    ComfyApp.onClipspaceEditorSave()\n    this.close()\n  }\n}\n\napp.registerExtension({\n  name: 'Comfy.MaskEditor',\n  init(app) {\n    ComfyApp.open_maskeditor = function () {\n      const dlg = MaskEditorDialog.getInstance()\n      if (!dlg.isOpened()) {\n        dlg.show()\n      }\n    }\n\n    const context_predicate = () =>\n      ComfyApp.clipspace &&\n      ComfyApp.clipspace.imgs &&\n      ComfyApp.clipspace.imgs.length > 0\n    ClipspaceDialog.registerButton(\n      'MaskEditor',\n      context_predicate,\n      ComfyApp.open_maskeditor\n    )\n  }\n})\n","import { app } from '../../scripts/app'\nimport { api } from '../../scripts/api'\nimport { ComfyDialog, $el } from '../../scripts/ui'\nimport { GroupNodeConfig, GroupNodeHandler } from './groupNode'\nimport { LGraphCanvas } from '@comfyorg/litegraph'\n\n// Adds the ability to save and add multiple nodes as a template\n// To save:\n// Select multiple nodes (ctrl + drag to select a region or ctrl+click individual nodes)\n// Right click the canvas\n// Save Node Template -> give it a name\n//\n// To add:\n// Right click the canvas\n// Node templates -> click the one to add\n//\n// To delete/rename:\n// Right click the canvas\n// Node templates -> Manage\n//\n// To rearrange:\n// Open the manage dialog and Drag and drop elements using the \"Name:\" label as handle\n\nconst id = 'Comfy.NodeTemplates'\nconst file = 'comfy.templates.json'\n\nclass ManageTemplates extends ComfyDialog {\n  templates: any[]\n  draggedEl: HTMLElement | null\n  saveVisualCue: number | null\n  emptyImg: HTMLImageElement\n  importInput: HTMLInputElement\n\n  constructor() {\n    super()\n    this.load().then((v) => {\n      this.templates = v\n    })\n\n    this.element.classList.add('comfy-manage-templates')\n    this.draggedEl = null\n    this.saveVisualCue = null\n    this.emptyImg = new Image()\n    this.emptyImg.src =\n      'data:image/gif;base64,R0lGODlhAQABAIAAAAUEBAAAACwAAAAAAQABAAACAkQBADs='\n\n    this.importInput = $el('input', {\n      type: 'file',\n      accept: '.json',\n      multiple: true,\n      style: { display: 'none' },\n      parent: document.body,\n      onchange: () => this.importAll()\n    }) as HTMLInputElement\n  }\n\n  createButtons() {\n    const btns = super.createButtons()\n    btns[0].textContent = 'Close'\n    btns[0].onclick = (e) => {\n      clearTimeout(this.saveVisualCue)\n      this.close()\n    }\n    btns.unshift(\n      $el('button', {\n        type: 'button',\n        textContent: 'Export',\n        onclick: () => this.exportAll()\n      })\n    )\n    btns.unshift(\n      $el('button', {\n        type: 'button',\n        textContent: 'Import',\n        onclick: () => {\n          this.importInput.click()\n        }\n      })\n    )\n    return btns\n  }\n\n  async load() {\n    let templates = []\n    if (app.storageLocation === 'server') {\n      if (app.isNewUserSession) {\n        // New user so migrate existing templates\n        const json = localStorage.getItem(id)\n        if (json) {\n          templates = JSON.parse(json)\n        }\n        await api.storeUserData(file, json, { stringify: false })\n      } else {\n        const res = await api.getUserData(file)\n        if (res.status === 200) {\n          try {\n            templates = await res.json()\n          } catch (error) {}\n        } else if (res.status !== 404) {\n          console.error(res.status + ' ' + res.statusText)\n        }\n      }\n    } else {\n      const json = localStorage.getItem(id)\n      if (json) {\n        templates = JSON.parse(json)\n      }\n    }\n\n    return templates ?? []\n  }\n\n  async store() {\n    if (app.storageLocation === 'server') {\n      const templates = JSON.stringify(this.templates, undefined, 4)\n      localStorage.setItem(id, templates) // Backwards compatibility\n      try {\n        await api.storeUserData(file, templates, { stringify: false })\n      } catch (error) {\n        console.error(error)\n        alert(error.message)\n      }\n    } else {\n      localStorage.setItem(id, JSON.stringify(this.templates))\n    }\n  }\n\n  async importAll() {\n    for (const file of this.importInput.files) {\n      if (file.type === 'application/json' || file.name.endsWith('.json')) {\n        const reader = new FileReader()\n        reader.onload = async () => {\n          const importFile = JSON.parse(reader.result as string)\n          if (importFile?.templates) {\n            for (const template of importFile.templates) {\n              if (template?.name && template?.data) {\n                this.templates.push(template)\n              }\n            }\n            await this.store()\n          }\n        }\n        await reader.readAsText(file)\n      }\n    }\n\n    this.importInput.value = null\n\n    this.close()\n  }\n\n  exportAll() {\n    if (this.templates.length == 0) {\n      alert('No templates to export.')\n      return\n    }\n\n    const json = JSON.stringify({ templates: this.templates }, null, 2) // convert the data to a JSON string\n    const blob = new Blob([json], { type: 'application/json' })\n    const url = URL.createObjectURL(blob)\n    const a = $el('a', {\n      href: url,\n      download: 'node_templates.json',\n      style: { display: 'none' },\n      parent: document.body\n    })\n    a.click()\n    setTimeout(function () {\n      a.remove()\n      window.URL.revokeObjectURL(url)\n    }, 0)\n  }\n\n  show() {\n    // Show list of template names + delete button\n    super.show(\n      $el(\n        'div',\n        {},\n        this.templates.flatMap((t, i) => {\n          let nameInput\n          return [\n            $el(\n              'div',\n              {\n                dataset: { id: i.toString() },\n                className: 'templateManagerRow',\n                style: {\n                  display: 'grid',\n                  gridTemplateColumns: '1fr auto',\n                  border: '1px dashed transparent',\n                  gap: '5px',\n                  backgroundColor: 'var(--comfy-menu-bg)'\n                },\n                ondragstart: (e) => {\n                  this.draggedEl = e.currentTarget\n                  e.currentTarget.style.opacity = '0.6'\n                  e.currentTarget.style.border = '1px dashed yellow'\n                  e.dataTransfer.effectAllowed = 'move'\n                  e.dataTransfer.setDragImage(this.emptyImg, 0, 0)\n                },\n                ondragend: (e) => {\n                  e.target.style.opacity = '1'\n                  e.currentTarget.style.border = '1px dashed transparent'\n                  e.currentTarget.removeAttribute('draggable')\n\n                  // rearrange the elements\n                  this.element\n                    .querySelectorAll('.templateManagerRow')\n                    .forEach((el: HTMLElement, i) => {\n                      var prev_i = Number.parseInt(el.dataset.id)\n\n                      if (el == this.draggedEl && prev_i != i) {\n                        this.templates.splice(\n                          i,\n                          0,\n                          this.templates.splice(prev_i, 1)[0]\n                        )\n                      }\n                      el.dataset.id = i.toString()\n                    })\n                  this.store()\n                },\n                ondragover: (e) => {\n                  e.preventDefault()\n                  if (e.currentTarget == this.draggedEl) return\n\n                  let rect = e.currentTarget.getBoundingClientRect()\n                  if (e.clientY > rect.top + rect.height / 2) {\n                    e.currentTarget.parentNode.insertBefore(\n                      this.draggedEl,\n                      e.currentTarget.nextSibling\n                    )\n                  } else {\n                    e.currentTarget.parentNode.insertBefore(\n                      this.draggedEl,\n                      e.currentTarget\n                    )\n                  }\n                }\n              },\n              [\n                $el(\n                  'label',\n                  {\n                    textContent: 'Name: ',\n                    style: {\n                      cursor: 'grab'\n                    },\n                    onmousedown: (e) => {\n                      // enable dragging only from the label\n                      if (e.target.localName == 'label')\n                        e.currentTarget.parentNode.draggable = 'true'\n                    }\n                  },\n                  [\n                    $el('input', {\n                      value: t.name,\n                      dataset: { name: t.name },\n                      style: {\n                        transitionProperty: 'background-color',\n                        transitionDuration: '0s'\n                      },\n                      onchange: (e) => {\n                        clearTimeout(this.saveVisualCue)\n                        var el = e.target\n                        var row = el.parentNode.parentNode\n                        this.templates[row.dataset.id].name =\n                          el.value.trim() || 'untitled'\n                        this.store()\n                        el.style.backgroundColor = 'rgb(40, 95, 40)'\n                        el.style.transitionDuration = '0s'\n                        // @ts-expect-error\n                        // In browser env the return value is number.\n                        this.saveVisualCue = setTimeout(function () {\n                          el.style.transitionDuration = '.7s'\n                          el.style.backgroundColor = 'var(--comfy-input-bg)'\n                        }, 15)\n                      },\n                      onkeypress: (e) => {\n                        var el = e.target\n                        clearTimeout(this.saveVisualCue)\n                        el.style.transitionDuration = '0s'\n                        el.style.backgroundColor = 'var(--comfy-input-bg)'\n                      },\n                      $: (el) => (nameInput = el)\n                    })\n                  ]\n                ),\n                $el('div', {}, [\n                  $el('button', {\n                    textContent: 'Export',\n                    style: {\n                      fontSize: '12px',\n                      fontWeight: 'normal'\n                    },\n                    onclick: (e) => {\n                      const json = JSON.stringify({ templates: [t] }, null, 2) // convert the data to a JSON string\n                      const blob = new Blob([json], {\n                        type: 'application/json'\n                      })\n                      const url = URL.createObjectURL(blob)\n                      const a = $el('a', {\n                        href: url,\n                        download: (nameInput.value || t.name) + '.json',\n                        style: { display: 'none' },\n                        parent: document.body\n                      })\n                      a.click()\n                      setTimeout(function () {\n                        a.remove()\n                        window.URL.revokeObjectURL(url)\n                      }, 0)\n                    }\n                  }),\n                  $el('button', {\n                    textContent: 'Delete',\n                    style: {\n                      fontSize: '12px',\n                      color: 'red',\n                      fontWeight: 'normal'\n                    },\n                    onclick: (e) => {\n                      const item = e.target.parentNode.parentNode\n                      item.parentNode.removeChild(item)\n                      this.templates.splice(item.dataset.id * 1, 1)\n                      this.store()\n                      // update the rows index, setTimeout ensures that the list is updated\n                      var that = this\n                      setTimeout(function () {\n                        that.element\n                          .querySelectorAll('.templateManagerRow')\n                          .forEach((el: HTMLElement, i) => {\n                            el.dataset.id = i.toString()\n                          })\n                      }, 0)\n                    }\n                  })\n                ])\n              ]\n            )\n          ]\n        })\n      )\n    )\n  }\n}\n\napp.registerExtension({\n  name: id,\n  setup() {\n    const manage = new ManageTemplates()\n\n    const clipboardAction = async (cb) => {\n      // We use the clipboard functions but dont want to overwrite the current user clipboard\n      // Restore it after we've run our callback\n      const old = localStorage.getItem('litegrapheditor_clipboard')\n      await cb()\n      localStorage.setItem('litegrapheditor_clipboard', old)\n    }\n\n    const orig = LGraphCanvas.prototype.getCanvasMenuOptions\n    LGraphCanvas.prototype.getCanvasMenuOptions = function () {\n      const options = orig.apply(this, arguments)\n\n      options.push(null)\n      options.push({\n        content: `Save Selected as Template`,\n        disabled: !Object.keys(app.canvas.selected_nodes || {}).length,\n        callback: () => {\n          const name = prompt('Enter name')\n          if (!name?.trim()) return\n\n          clipboardAction(() => {\n            app.canvas.copyToClipboard()\n            let data = localStorage.getItem('litegrapheditor_clipboard')\n            data = JSON.parse(data)\n            const nodeIds = Object.keys(app.canvas.selected_nodes)\n            for (let i = 0; i < nodeIds.length; i++) {\n              const node = app.graph.getNodeById(Number.parseInt(nodeIds[i]))\n              // @ts-expect-error\n              const nodeData = node?.constructor.nodeData\n\n              let groupData = GroupNodeHandler.getGroupData(node)\n              if (groupData) {\n                groupData = groupData.nodeData\n                // @ts-expect-error\n                if (!data.groupNodes) {\n                  // @ts-expect-error\n                  data.groupNodes = {}\n                }\n                // @ts-expect-error\n                data.groupNodes[nodeData.name] = groupData\n                // @ts-expect-error\n                data.nodes[i].type = nodeData.name\n              }\n            }\n\n            manage.templates.push({\n              name,\n              data: JSON.stringify(data)\n            })\n            manage.store()\n          })\n        }\n      })\n\n      // Map each template to a menu item\n      const subItems = manage.templates.map((t) => {\n        return {\n          content: t.name,\n          callback: () => {\n            clipboardAction(async () => {\n              const data = JSON.parse(t.data)\n              await GroupNodeConfig.registerFromWorkflow(data.groupNodes, {})\n              localStorage.setItem('litegrapheditor_clipboard', t.data)\n              app.canvas.pasteFromClipboard()\n            })\n          }\n        }\n      })\n\n      subItems.push(null, {\n        content: 'Manage',\n        callback: () => manage.show()\n      })\n\n      options.push({\n        content: 'Node Templates',\n        submenu: {\n          options: subItems\n        }\n      })\n\n      return options\n    }\n  }\n})\n","import { LiteGraph, LGraphCanvas } from '@comfyorg/litegraph'\nimport { app } from '../../scripts/app'\nimport { ComfyWidgets } from '../../scripts/widgets'\nimport { LGraphNode } from '@comfyorg/litegraph'\n// Node that add notes to your project\n\napp.registerExtension({\n  name: 'Comfy.NoteNode',\n  registerCustomNodes() {\n    class NoteNode extends LGraphNode {\n      static category: string\n\n      color = LGraphCanvas.node_colors.yellow.color\n      bgcolor = LGraphCanvas.node_colors.yellow.bgcolor\n      groupcolor = LGraphCanvas.node_colors.yellow.groupcolor\n      isVirtualNode: boolean\n      collapsable: boolean\n      title_mode: number\n\n      constructor(title?: string) {\n        super(title)\n        if (!this.properties) {\n          this.properties = { text: '' }\n        }\n        ComfyWidgets.STRING(\n          // Should we extends LGraphNode?  Yesss\n          this,\n          '',\n          // @ts-expect-error\n          ['', { default: this.properties.text, multiline: true }],\n          app\n        )\n\n        this.serialize_widgets = true\n        this.isVirtualNode = true\n      }\n    }\n\n    // Load default visibility\n\n    LiteGraph.registerNodeType(\n      'Note',\n      Object.assign(NoteNode, {\n        title_mode: LiteGraph.NORMAL_TITLE,\n        title: 'Note',\n        collapsable: true\n      })\n    )\n\n    NoteNode.category = 'utils'\n  }\n})\n","import { app } from '../../scripts/app'\nimport { mergeIfValid, getWidgetConfig, setWidgetConfig } from './widgetInputs'\nimport { LiteGraph, LGraphCanvas, LGraphNode } from '@comfyorg/litegraph'\n\n// Node that allows you to redirect connections for cleaner graphs\n\napp.registerExtension({\n  name: 'Comfy.RerouteNode',\n  registerCustomNodes(app) {\n    interface RerouteNode extends LGraphNode {\n      __outputType?: string\n    }\n\n    class RerouteNode extends LGraphNode {\n      static category: string | undefined\n      static defaultVisibility = false\n\n      constructor(title?: string) {\n        super(title)\n        if (!this.properties) {\n          this.properties = {}\n        }\n        this.properties.showOutputText = RerouteNode.defaultVisibility\n        this.properties.horizontal = false\n\n        this.addInput('', '*')\n        this.addOutput(this.properties.showOutputText ? '*' : '', '*')\n\n        this.onAfterGraphConfigured = function () {\n          requestAnimationFrame(() => {\n            this.onConnectionsChange(LiteGraph.INPUT, null, true, null)\n          })\n        }\n\n        this.onConnectionsChange = function (\n          type,\n          index,\n          connected,\n          link_info\n        ) {\n          this.applyOrientation()\n\n          // Prevent multiple connections to different types when we have no input\n          if (connected && type === LiteGraph.OUTPUT) {\n            // Ignore wildcard nodes as these will be updated to real types\n            const types = new Set(\n              this.outputs[0].links\n                .map((l) => app.graph.links[l].type)\n                .filter((t) => t !== '*')\n            )\n            if (types.size > 1) {\n              const linksToDisconnect = []\n              for (let i = 0; i < this.outputs[0].links.length - 1; i++) {\n                const linkId = this.outputs[0].links[i]\n                const link = app.graph.links[linkId]\n                linksToDisconnect.push(link)\n              }\n              for (const link of linksToDisconnect) {\n                const node = app.graph.getNodeById(link.target_id)\n                node.disconnectInput(link.target_slot)\n              }\n            }\n          }\n\n          // Find root input\n          let currentNode = this\n          let updateNodes = []\n          let inputType = null\n          let inputNode = null\n          while (currentNode) {\n            updateNodes.unshift(currentNode)\n            const linkId = currentNode.inputs[0].link\n            if (linkId !== null) {\n              const link = app.graph.links[linkId]\n              if (!link) return\n              const node = app.graph.getNodeById(link.origin_id)\n              const type = node.constructor.type\n              if (type === 'Reroute') {\n                if (node === this) {\n                  // We've found a circle\n                  currentNode.disconnectInput(link.target_slot)\n                  currentNode = null\n                } else {\n                  // Move the previous node\n                  currentNode = node\n                }\n              } else {\n                // We've found the end\n                inputNode = currentNode\n                inputType = node.outputs[link.origin_slot]?.type ?? null\n                break\n              }\n            } else {\n              // This path has no input node\n              currentNode = null\n              break\n            }\n          }\n\n          // Find all outputs\n          const nodes = [this]\n          let outputType = null\n          while (nodes.length) {\n            currentNode = nodes.pop()\n            const outputs =\n              (currentNode.outputs ? currentNode.outputs[0].links : []) || []\n            if (outputs.length) {\n              for (const linkId of outputs) {\n                const link = app.graph.links[linkId]\n\n                // When disconnecting sometimes the link is still registered\n                if (!link) continue\n\n                const node = app.graph.getNodeById(link.target_id)\n                const type = node.constructor.type\n\n                if (type === 'Reroute') {\n                  // Follow reroute nodes\n                  nodes.push(node)\n                  updateNodes.push(node)\n                } else {\n                  // We've found an output\n                  const nodeOutType =\n                    node.inputs &&\n                    node.inputs[link?.target_slot] &&\n                    node.inputs[link.target_slot].type\n                      ? node.inputs[link.target_slot].type\n                      : null\n                  if (\n                    inputType &&\n                    inputType !== '*' &&\n                    nodeOutType !== inputType\n                  ) {\n                    // The output doesnt match our input so disconnect it\n                    node.disconnectInput(link.target_slot)\n                  } else {\n                    outputType = nodeOutType\n                  }\n                }\n              }\n            } else {\n              // No more outputs for this path\n            }\n          }\n\n          const displayType = inputType || outputType || '*'\n          const color = LGraphCanvas.link_type_colors[displayType]\n\n          let widgetConfig\n          let targetWidget\n          let widgetType\n          // Update the types of each node\n          for (const node of updateNodes) {\n            // If we dont have an input type we are always wildcard but we'll show the output type\n            // This lets you change the output link to a different type and all nodes will update\n            node.outputs[0].type = inputType || '*'\n            node.__outputType = displayType\n            node.outputs[0].name = node.properties.showOutputText\n              ? displayType\n              : ''\n            node.size = node.computeSize()\n            node.applyOrientation()\n\n            for (const l of node.outputs[0].links || []) {\n              const link = app.graph.links[l]\n              if (link) {\n                link.color = color\n\n                if (app.configuringGraph) continue\n                const targetNode = app.graph.getNodeById(link.target_id)\n                const targetInput = targetNode.inputs?.[link.target_slot]\n                if (targetInput?.widget) {\n                  const config = getWidgetConfig(targetInput)\n                  if (!widgetConfig) {\n                    widgetConfig = config[1] ?? {}\n                    widgetType = config[0]\n                  }\n                  if (!targetWidget) {\n                    targetWidget = targetNode.widgets?.find(\n                      (w) => w.name === targetInput.widget.name\n                    )\n                  }\n\n                  const merged = mergeIfValid(targetInput, [\n                    config[0],\n                    widgetConfig\n                  ])\n                  if (merged.customConfig) {\n                    widgetConfig = merged.customConfig\n                  }\n                }\n              }\n            }\n          }\n\n          for (const node of updateNodes) {\n            if (widgetConfig && outputType) {\n              node.inputs[0].widget = { name: 'value' }\n              setWidgetConfig(\n                node.inputs[0],\n                [widgetType ?? displayType, widgetConfig],\n                targetWidget\n              )\n            } else {\n              setWidgetConfig(node.inputs[0], null)\n            }\n          }\n\n          if (inputNode) {\n            const link = app.graph.links[inputNode.inputs[0].link]\n            if (link) {\n              link.color = color\n            }\n          }\n        }\n\n        this.clone = function () {\n          const cloned = RerouteNode.prototype.clone.apply(this)\n          cloned.removeOutput(0)\n          cloned.addOutput(this.properties.showOutputText ? '*' : '', '*')\n          cloned.size = cloned.computeSize()\n          return cloned\n        }\n\n        // This node is purely frontend and does not impact the resulting prompt so should not be serialized\n        this.isVirtualNode = true\n      }\n\n      getExtraMenuOptions(_, options) {\n        options.unshift(\n          {\n            content:\n              (this.properties.showOutputText ? 'Hide' : 'Show') + ' Type',\n            callback: () => {\n              this.properties.showOutputText = !this.properties.showOutputText\n              if (this.properties.showOutputText) {\n                this.outputs[0].name =\n                  this.__outputType || (this.outputs[0].type as string)\n              } else {\n                this.outputs[0].name = ''\n              }\n              this.size = this.computeSize()\n              this.applyOrientation()\n              app.graph.setDirtyCanvas(true, true)\n            }\n          },\n          {\n            content:\n              (RerouteNode.defaultVisibility ? 'Hide' : 'Show') +\n              ' Type By Default',\n            callback: () => {\n              RerouteNode.setDefaultTextVisibility(\n                !RerouteNode.defaultVisibility\n              )\n            }\n          },\n          {\n            // naming is inverted with respect to LiteGraphNode.horizontal\n            // LiteGraphNode.horizontal == true means that\n            // each slot in the inputs and outputs are laid out horizontally,\n            // which is the opposite of the visual orientation of the inputs and outputs as a node\n            content:\n              'Set ' + (this.properties.horizontal ? 'Horizontal' : 'Vertical'),\n            callback: () => {\n              this.properties.horizontal = !this.properties.horizontal\n              this.applyOrientation()\n            }\n          }\n        )\n      }\n      applyOrientation() {\n        this.horizontal = this.properties.horizontal\n        if (this.horizontal) {\n          // we correct the input position, because LiteGraphNode.horizontal\n          // doesn't account for title presence\n          // which reroute nodes don't have\n          this.inputs[0].pos = [this.size[0] / 2, 0]\n        } else {\n          delete this.inputs[0].pos\n        }\n        app.graph.setDirtyCanvas(true, true)\n      }\n\n      computeSize(): [number, number] {\n        return [\n          this.properties.showOutputText && this.outputs && this.outputs.length\n            ? Math.max(\n                75,\n                LiteGraph.NODE_TEXT_SIZE * this.outputs[0].name.length * 0.6 +\n                  40\n              )\n            : 75,\n          26\n        ]\n      }\n\n      static setDefaultTextVisibility(visible) {\n        RerouteNode.defaultVisibility = visible\n        if (visible) {\n          localStorage['Comfy.RerouteNode.DefaultVisibility'] = 'true'\n        } else {\n          delete localStorage['Comfy.RerouteNode.DefaultVisibility']\n        }\n      }\n    }\n\n    // Load default visibility\n    RerouteNode.setDefaultTextVisibility(\n      !!localStorage['Comfy.RerouteNode.DefaultVisibility']\n    )\n\n    LiteGraph.registerNodeType(\n      'Reroute',\n      Object.assign(RerouteNode, {\n        title_mode: LiteGraph.NO_TITLE,\n        title: 'Reroute',\n        collapsable: false\n      })\n    )\n\n    RerouteNode.category = 'utils'\n  }\n})\n","import { app } from '../../scripts/app'\nimport { applyTextReplacements } from '../../scripts/utils'\n// Use widget values and dates in output filenames\n\napp.registerExtension({\n  name: 'Comfy.SaveImageExtraOutput',\n  async beforeRegisterNodeDef(nodeType, nodeData, app) {\n    if (nodeData.name === 'SaveImage' || nodeData.name === 'SaveAnimatedWEBP') {\n      const onNodeCreated = nodeType.prototype.onNodeCreated\n      // When the SaveImage node is created we want to override the serialization of the output name widget to run our S&R\n      nodeType.prototype.onNodeCreated = function () {\n        const r = onNodeCreated\n          ? onNodeCreated.apply(this, arguments)\n          : undefined\n\n        const widget = this.widgets.find((w) => w.name === 'filename_prefix')\n        widget.serializeValue = () => {\n          return applyTextReplacements(app, widget.value)\n        }\n\n        return r\n      }\n    } else {\n      // When any other node is created add a property to alias the node\n      const onNodeCreated = nodeType.prototype.onNodeCreated\n      nodeType.prototype.onNodeCreated = function () {\n        const r = onNodeCreated\n          ? onNodeCreated.apply(this, arguments)\n          : undefined\n\n        if (!this.properties || !('Node name for S&R' in this.properties)) {\n          this.addProperty('Node name for S&R', this.constructor.type, 'string')\n        }\n\n        return r\n      }\n    }\n  }\n})\n","import { app } from '../../scripts/app'\nimport { LGraphCanvas, LiteGraph } from '@comfyorg/litegraph'\n\nlet touchZooming\nlet touchCount = 0\n\napp.registerExtension({\n  name: 'Comfy.SimpleTouchSupport',\n  setup() {\n    let zoomPos\n    let touchTime\n    let lastTouch\n\n    function getMultiTouchPos(e) {\n      return Math.hypot(\n        e.touches[0].clientX - e.touches[1].clientX,\n        e.touches[0].clientY - e.touches[1].clientY\n      )\n    }\n\n    app.canvasEl.addEventListener(\n      'touchstart',\n      (e) => {\n        touchCount++\n        lastTouch = null\n        if (e.touches?.length === 1) {\n          // Store start time for press+hold for context menu\n          touchTime = new Date()\n          lastTouch = e.touches[0]\n        } else {\n          touchTime = null\n          if (e.touches?.length === 2) {\n            // Store center pos for zoom\n            zoomPos = getMultiTouchPos(e)\n            app.canvas.pointer_is_down = false\n          }\n        }\n      },\n      true\n    )\n\n    app.canvasEl.addEventListener('touchend', (e: TouchEvent) => {\n      touchZooming = false\n      touchCount = e.touches?.length ?? touchCount - 1\n      if (touchTime && !e.touches?.length) {\n        if (new Date().getTime() - touchTime > 600) {\n          try {\n            // hack to get litegraph to use this event\n            e.constructor = CustomEvent\n          } catch (error) {}\n          // @ts-expect-error\n          e.clientX = lastTouch.clientX\n          // @ts-expect-error\n          e.clientY = lastTouch.clientY\n\n          app.canvas.pointer_is_down = true\n          // @ts-expect-error\n          app.canvas._mousedown_callback(e)\n        }\n        touchTime = null\n      }\n    })\n\n    app.canvasEl.addEventListener(\n      'touchmove',\n      (e) => {\n        touchTime = null\n        if (e.touches?.length === 2) {\n          app.canvas.pointer_is_down = false\n          touchZooming = true\n          // @ts-expect-error\n          LiteGraph.closeAllContextMenus()\n          // @ts-expect-error\n          app.canvas.search_box?.close()\n          const newZoomPos = getMultiTouchPos(e)\n\n          const midX = (e.touches[0].clientX + e.touches[1].clientX) / 2\n          const midY = (e.touches[0].clientY + e.touches[1].clientY) / 2\n\n          let scale = app.canvas.ds.scale\n          const diff = zoomPos - newZoomPos\n          if (diff > 0.5) {\n            scale *= 1 / 1.07\n          } else if (diff < -0.5) {\n            scale *= 1.07\n          }\n          app.canvas.ds.changeScale(scale, [midX, midY])\n          app.canvas.setDirty(true, true)\n          zoomPos = newZoomPos\n        }\n      },\n      true\n    )\n  }\n})\n\nconst processMouseDown = LGraphCanvas.prototype.processMouseDown\nLGraphCanvas.prototype.processMouseDown = function (e) {\n  if (touchZooming || touchCount) {\n    return\n  }\n  return processMouseDown.apply(this, arguments)\n}\n\nconst processMouseMove = LGraphCanvas.prototype.processMouseMove\nLGraphCanvas.prototype.processMouseMove = function (e) {\n  if (touchZooming || touchCount > 1) {\n    return\n  }\n  return processMouseMove.apply(this, arguments)\n}\n","import { app } from '../../scripts/app'\nimport { ComfyWidgets } from '../../scripts/widgets'\nimport { LiteGraph } from '@comfyorg/litegraph'\n// Adds defaults for quickly adding nodes with middle click on the input/output\n\napp.registerExtension({\n  name: 'Comfy.SlotDefaults',\n  suggestionsNumber: null,\n  init() {\n    LiteGraph.search_filter_enabled = true\n    LiteGraph.middle_click_slot_add_default_node = true\n    this.suggestionsNumber = app.ui.settings.addSetting({\n      id: 'Comfy.NodeSuggestions.number',\n      category: ['Comfy', 'Node Search Box', 'NodeSuggestions'],\n      name: 'Number of nodes suggestions',\n      tooltip: 'Only for litegraph searchbox/context menu',\n      type: 'slider',\n      attrs: {\n        min: 1,\n        max: 100,\n        step: 1\n      },\n      defaultValue: 5,\n      onChange: (newVal, oldVal) => {\n        this.setDefaults(newVal)\n      }\n    })\n  },\n  slot_types_default_out: {},\n  slot_types_default_in: {},\n  async beforeRegisterNodeDef(nodeType, nodeData, app) {\n    var nodeId = nodeData.name\n    var inputs = []\n    inputs = nodeData['input']['required'] //only show required inputs to reduce the mess also not logical to create node with optional inputs\n    for (const inputKey in inputs) {\n      var input = inputs[inputKey]\n      if (typeof input[0] !== 'string') continue\n\n      var type = input[0]\n      if (type in ComfyWidgets) {\n        var customProperties = input[1]\n        if (!customProperties?.forceInput) continue //ignore widgets that don't force input\n      }\n\n      if (!(type in this.slot_types_default_out)) {\n        this.slot_types_default_out[type] = ['Reroute']\n      }\n      if (this.slot_types_default_out[type].includes(nodeId)) continue\n      this.slot_types_default_out[type].push(nodeId)\n\n      // Input types have to be stored as lower case\n      // Store each node that can handle this input type\n      const lowerType = type.toLocaleLowerCase()\n      if (!(lowerType in LiteGraph.registered_slot_in_types)) {\n        LiteGraph.registered_slot_in_types[lowerType] = { nodes: [] }\n      }\n      LiteGraph.registered_slot_in_types[lowerType].nodes.push(\n        nodeType.comfyClass\n      )\n    }\n\n    var outputs = nodeData['output']\n    for (const key in outputs) {\n      var type = outputs[key] as string\n      if (!(type in this.slot_types_default_in)) {\n        this.slot_types_default_in[type] = ['Reroute'] // [\"Reroute\", \"Primitive\"];  primitive doesn't always work :'()\n      }\n\n      this.slot_types_default_in[type].push(nodeId)\n\n      // Store each node that can handle this output type\n      if (!(type in LiteGraph.registered_slot_out_types)) {\n        LiteGraph.registered_slot_out_types[type] = { nodes: [] }\n      }\n      LiteGraph.registered_slot_out_types[type].nodes.push(nodeType.comfyClass)\n\n      if (!LiteGraph.slot_types_out.includes(type)) {\n        LiteGraph.slot_types_out.push(type)\n      }\n    }\n    var maxNum = this.suggestionsNumber.value\n    this.setDefaults(maxNum)\n  },\n  setDefaults(maxNum) {\n    LiteGraph.slot_types_default_out = {}\n    LiteGraph.slot_types_default_in = {}\n\n    for (const type in this.slot_types_default_out) {\n      LiteGraph.slot_types_default_out[type] = this.slot_types_default_out[\n        type\n      ].slice(0, maxNum)\n    }\n    for (const type in this.slot_types_default_in) {\n      LiteGraph.slot_types_default_in[type] = this.slot_types_default_in[\n        type\n      ].slice(0, maxNum)\n    }\n  }\n})\n","import { app } from '../../scripts/app'\nimport {\n  LGraphCanvas,\n  LGraphNode,\n  LGraphGroup,\n  LiteGraph\n} from '@comfyorg/litegraph'\n\n// Shift + drag/resize to snap to grid\n\n/** Rounds a Vector2 in-place to the current CANVAS_GRID_SIZE. */\nfunction roundVectorToGrid(vec) {\n  vec[0] =\n    LiteGraph.CANVAS_GRID_SIZE * Math.round(vec[0] / LiteGraph.CANVAS_GRID_SIZE)\n  vec[1] =\n    LiteGraph.CANVAS_GRID_SIZE * Math.round(vec[1] / LiteGraph.CANVAS_GRID_SIZE)\n  return vec\n}\n\napp.registerExtension({\n  name: 'Comfy.SnapToGrid',\n  init() {\n    // Add setting to control grid size\n    app.ui.settings.addSetting({\n      id: 'Comfy.SnapToGrid.GridSize',\n      category: ['Comfy', 'Graph', 'GridSize'],\n      name: 'Snap to grid size',\n      type: 'slider',\n      attrs: {\n        min: 1,\n        max: 500\n      },\n      tooltip:\n        'When dragging and resizing nodes while holding shift they will be aligned to the grid, this controls the size of that grid.',\n      defaultValue: LiteGraph.CANVAS_GRID_SIZE,\n      onChange(value) {\n        LiteGraph.CANVAS_GRID_SIZE = +value\n      }\n    })\n\n    // After moving a node, if the shift key is down align it to grid\n    const onNodeMoved = app.canvas.onNodeMoved\n    app.canvas.onNodeMoved = function (node) {\n      const r = onNodeMoved?.apply(this, arguments)\n\n      if (app.shiftDown) {\n        // Ensure all selected nodes are realigned\n        for (const id in this.selected_nodes) {\n          this.selected_nodes[id].alignToGrid()\n        }\n      }\n\n      return r\n    }\n\n    // When a node is added, add a resize handler to it so we can fix align the size with the grid\n    const onNodeAdded = app.graph.onNodeAdded\n    app.graph.onNodeAdded = function (node) {\n      const onResize = node.onResize\n      node.onResize = function () {\n        if (app.shiftDown) {\n          roundVectorToGrid(node.size)\n        }\n        return onResize?.apply(this, arguments)\n      }\n      return onNodeAdded?.apply(this, arguments)\n    }\n\n    // Draw a preview of where the node will go if holding shift and the node is selected\n    const origDrawNode = LGraphCanvas.prototype.drawNode\n    LGraphCanvas.prototype.drawNode = function (node, ctx) {\n      if (\n        app.shiftDown &&\n        this.node_dragged &&\n        node.id in this.selected_nodes\n      ) {\n        const [x, y] = roundVectorToGrid([...node.pos])\n        const shiftX = x - node.pos[0]\n        let shiftY = y - node.pos[1]\n\n        let w, h\n        if (node.flags.collapsed) {\n          // @ts-expect-error\n          w = node._collapsed_width\n          h = LiteGraph.NODE_TITLE_HEIGHT\n          shiftY -= LiteGraph.NODE_TITLE_HEIGHT\n        } else {\n          w = node.size[0]\n          h = node.size[1]\n          // @ts-expect-error\n          let titleMode = node.constructor.title_mode\n          if (\n            titleMode !== LiteGraph.TRANSPARENT_TITLE &&\n            titleMode !== LiteGraph.NO_TITLE\n          ) {\n            h += LiteGraph.NODE_TITLE_HEIGHT\n            shiftY -= LiteGraph.NODE_TITLE_HEIGHT\n          }\n        }\n        const f = ctx.fillStyle\n        ctx.fillStyle = 'rgba(100, 100, 100, 0.5)'\n        ctx.fillRect(shiftX, shiftY, w, h)\n        ctx.fillStyle = f\n      }\n\n      return origDrawNode.apply(this, arguments)\n    }\n\n    /**\n     * The currently moving, selected group only. Set after the `selected_group` has actually started\n     * moving.\n     */\n    let selectedAndMovingGroup: LGraphGroup | null = null\n\n    /**\n     * Handles moving a group; tracking when a group has been moved (to show the ghost in `drawGroups`\n     * below) as well as handle the last move call from LiteGraph's `processMouseUp`.\n     */\n    const groupMove = LGraphGroup.prototype.move\n    LGraphGroup.prototype.move = function (deltax, deltay, ignore_nodes) {\n      const v = groupMove.apply(this, arguments)\n      // When we've started moving, set `selectedAndMovingGroup` as LiteGraph sets `selected_group`\n      // too eagerly and we don't want to behave like we're moving until we get a delta.\n      if (\n        !selectedAndMovingGroup &&\n        app.canvas.selected_group === this &&\n        (deltax || deltay)\n      ) {\n        selectedAndMovingGroup = this\n      }\n\n      // LiteGraph will call group.move both on mouse-move as well as mouse-up though we only want\n      // to snap on a mouse-up which we can determine by checking if `app.canvas.last_mouse_dragging`\n      // has been set to `false`. Essentially, this check here is the equivalent to calling an\n      // `LGraphGroup.prototype.onNodeMoved` if it had existed.\n      if (app.canvas.last_mouse_dragging === false && app.shiftDown) {\n        // After moving a group (while app.shiftDown), snap all the child nodes and, finally,\n        //  align the group itself.\n        this.recomputeInsideNodes()\n        for (const node of this._nodes) {\n          node.alignToGrid()\n        }\n        LGraphNode.prototype.alignToGrid.apply(this)\n      }\n      return v\n    }\n\n    /**\n     * Handles drawing a group when, snapping the size when one is actively being resized tracking and/or\n     * drawing a ghost box when one is actively being moved. This mimics the node snapping behavior for\n     * both.\n     */\n    const drawGroups = LGraphCanvas.prototype.drawGroups\n    LGraphCanvas.prototype.drawGroups = function (canvas, ctx) {\n      if (this.selected_group && app.shiftDown) {\n        if (this.selected_group_resizing) {\n          roundVectorToGrid(this.selected_group.size)\n        } else if (selectedAndMovingGroup) {\n          // @ts-expect-error\n          const [x, y] = roundVectorToGrid([...selectedAndMovingGroup.pos])\n          const f = ctx.fillStyle\n          const s = ctx.strokeStyle\n          ctx.fillStyle = 'rgba(100, 100, 100, 0.33)'\n          ctx.strokeStyle = 'rgba(100, 100, 100, 0.66)'\n          // @ts-expect-error\n          ctx.rect(x, y, ...selectedAndMovingGroup.size)\n          ctx.fill()\n          ctx.stroke()\n          ctx.fillStyle = f\n          ctx.strokeStyle = s\n        }\n      } else if (!this.selected_group) {\n        selectedAndMovingGroup = null\n      }\n      return drawGroups.apply(this, arguments)\n    }\n\n    /** Handles adding a group in a snapping-enabled state. */\n    const onGroupAdd = LGraphCanvas.onGroupAdd\n    LGraphCanvas.onGroupAdd = function () {\n      const v = onGroupAdd.apply(app.canvas, arguments)\n      if (app.shiftDown) {\n        // @ts-expect-error\n        const lastGroup = app.graph._groups[app.graph._groups.length - 1]\n        if (lastGroup) {\n          // @ts-expect-error\n          roundVectorToGrid(lastGroup.pos)\n          // @ts-expect-error\n          roundVectorToGrid(lastGroup.size)\n        }\n      }\n      return v\n    }\n  }\n})\n","import { app } from '../../scripts/app'\nimport { ComfyNodeDef } from '@/types/apiTypes'\n\n// Adds an upload button to the nodes\n\napp.registerExtension({\n  name: 'Comfy.UploadImage',\n  async beforeRegisterNodeDef(nodeType, nodeData: ComfyNodeDef, app) {\n    if (nodeData?.input?.required?.image?.[1]?.image_upload === true) {\n      nodeData.input.required.upload = ['IMAGEUPLOAD']\n    }\n  }\n})\n","import { app } from '../../scripts/app'\nimport { api } from '../../scripts/api'\n\nconst WEBCAM_READY = Symbol()\n\napp.registerExtension({\n  name: 'Comfy.WebcamCapture',\n  getCustomWidgets(app) {\n    return {\n      WEBCAM(node, inputName) {\n        let res\n        node[WEBCAM_READY] = new Promise((resolve) => (res = resolve))\n\n        const container = document.createElement('div')\n        container.style.background = 'rgba(0,0,0,0.25)'\n        container.style.textAlign = 'center'\n\n        const video = document.createElement('video')\n        video.style.height = video.style.width = '100%'\n\n        const loadVideo = async () => {\n          try {\n            const stream = await navigator.mediaDevices.getUserMedia({\n              video: true,\n              audio: false\n            })\n            container.replaceChildren(video)\n\n            setTimeout(() => res(video), 500) // Fallback as loadedmetadata doesnt fire sometimes?\n            video.addEventListener('loadedmetadata', () => res(video), false)\n            video.srcObject = stream\n            video.play()\n          } catch (error) {\n            const label = document.createElement('div')\n            label.style.color = 'red'\n            label.style.overflow = 'auto'\n            label.style.maxHeight = '100%'\n            label.style.whiteSpace = 'pre-wrap'\n\n            if (window.isSecureContext) {\n              label.textContent =\n                'Unable to load webcam, please ensure access is granted:\\n' +\n                error.message\n            } else {\n              label.textContent =\n                'Unable to load webcam. A secure context is required, if you are not accessing ComfyUI on localhost (127.0.0.1) you will have to enable TLS (https)\\n\\n' +\n                error.message\n            }\n\n            container.replaceChildren(label)\n          }\n        }\n\n        loadVideo()\n\n        return { widget: node.addDOMWidget(inputName, 'WEBCAM', container) }\n      }\n    }\n  },\n  nodeCreated(node) {\n    if ((node.type, node.constructor.comfyClass !== 'WebcamCapture')) return\n\n    let video\n    const camera = node.widgets.find((w) => w.name === 'image')\n    const w = node.widgets.find((w) => w.name === 'width')\n    const h = node.widgets.find((w) => w.name === 'height')\n    const captureOnQueue = node.widgets.find(\n      (w) => w.name === 'capture_on_queue'\n    )\n\n    const canvas = document.createElement('canvas')\n\n    const capture = () => {\n      canvas.width = w.value\n      canvas.height = h.value\n      const ctx = canvas.getContext('2d')\n      ctx.drawImage(video, 0, 0, w.value, h.value)\n      const data = canvas.toDataURL('image/png')\n\n      const img = new Image()\n      img.onload = () => {\n        node.imgs = [img]\n        app.graph.setDirtyCanvas(true)\n        requestAnimationFrame(() => {\n          node.setSizeForImage?.()\n        })\n      }\n      img.src = data\n    }\n\n    const btn = node.addWidget(\n      'button',\n      'waiting for camera...',\n      'capture',\n      capture\n    )\n    btn.disabled = true\n    btn.serializeValue = () => undefined\n\n    camera.serializeValue = async () => {\n      if (captureOnQueue.value) {\n        capture()\n      } else if (!node.imgs?.length) {\n        const err = `No webcam image captured`\n        alert(err)\n        throw new Error(err)\n      }\n\n      // Upload image to temp storage\n      const blob = await new Promise<Blob>((r) => canvas.toBlob(r))\n      const name = `${+new Date()}.png`\n      const file = new File([blob], name)\n      const body = new FormData()\n      body.append('image', file)\n      body.append('subfolder', 'webcam')\n      body.append('type', 'temp')\n      const resp = await api.fetchApi('/upload/image', {\n        method: 'POST',\n        body\n      })\n      if (resp.status !== 200) {\n        const err = `Error uploading camera image: ${resp.status} - ${resp.statusText}`\n        alert(err)\n        throw new Error(err)\n      }\n      return `webcam/${name} [temp]`\n    }\n\n    node[WEBCAM_READY].then((v) => {\n      video = v\n      // If width isnt specified then use video output resolution\n      if (!w.value) {\n        w.value = video.videoWidth || 640\n        h.value = video.videoHeight || 480\n      }\n      btn.disabled = false\n      btn.label = 'capture'\n    })\n  }\n})\n","import { app } from '../../scripts/app'\nimport { api } from '../../scripts/api'\nimport type { IWidget } from '@comfyorg/litegraph'\nimport type { DOMWidget } from '@/scripts/domWidget'\nimport { ComfyNodeDef } from '@/types/apiTypes'\n\ntype FolderType = 'input' | 'output' | 'temp'\n\nfunction splitFilePath(path: string): [string, string] {\n  const folder_separator = path.lastIndexOf('/')\n  if (folder_separator === -1) {\n    return ['', path]\n  }\n  return [\n    path.substring(0, folder_separator),\n    path.substring(folder_separator + 1)\n  ]\n}\n\nfunction getResourceURL(\n  subfolder: string,\n  filename: string,\n  type: FolderType = 'input'\n): string {\n  const params = [\n    'filename=' + encodeURIComponent(filename),\n    'type=' + type,\n    'subfolder=' + subfolder,\n    app.getRandParam().substring(1)\n  ].join('&')\n\n  return `/view?${params}`\n}\n\nasync function uploadFile(\n  audioWidget: IWidget,\n  audioUIWidget: DOMWidget<HTMLAudioElement>,\n  file: File,\n  updateNode: boolean,\n  pasted: boolean = false\n) {\n  try {\n    // Wrap file in formdata so it includes filename\n    const body = new FormData()\n    body.append('image', file)\n    if (pasted) body.append('subfolder', 'pasted')\n    const resp = await api.fetchApi('/upload/image', {\n      method: 'POST',\n      body\n    })\n\n    if (resp.status === 200) {\n      const data = await resp.json()\n      // Add the file to the dropdown list and update the widget value\n      let path = data.name\n      if (data.subfolder) path = data.subfolder + '/' + path\n\n      if (!audioWidget.options.values.includes(path)) {\n        audioWidget.options.values.push(path)\n      }\n\n      if (updateNode) {\n        audioUIWidget.element.src = api.apiURL(\n          getResourceURL(...splitFilePath(path))\n        )\n        audioWidget.value = path\n      }\n    } else {\n      alert(resp.status + ' - ' + resp.statusText)\n    }\n  } catch (error) {\n    alert(error)\n  }\n}\n\n// AudioWidget MUST be registered first, as AUDIOUPLOAD depends on AUDIO_UI to be\n// present.\napp.registerExtension({\n  name: 'Comfy.AudioWidget',\n  async beforeRegisterNodeDef(nodeType, nodeData) {\n    if (\n      ['LoadAudio', 'SaveAudio', 'PreviewAudio'].includes(nodeType.comfyClass)\n    ) {\n      nodeData.input.required.audioUI = ['AUDIO_UI']\n    }\n  },\n  getCustomWidgets() {\n    return {\n      AUDIO_UI(node, inputName: string) {\n        const audio = document.createElement('audio')\n        audio.controls = true\n        audio.classList.add('comfy-audio')\n        audio.setAttribute('name', 'media')\n\n        const audioUIWidget: DOMWidget<HTMLAudioElement> = node.addDOMWidget(\n          inputName,\n          /* name=*/ 'audioUI',\n          audio\n        )\n        // @ts-expect-error\n        // TODO: Sort out the DOMWidget type.\n        audioUIWidget.serialize = false\n\n        const isOutputNode = node.constructor.nodeData.output_node\n        if (isOutputNode) {\n          // Hide the audio widget when there is no audio initially.\n          audioUIWidget.element.classList.add('empty-audio-widget')\n          // Populate the audio widget UI on node execution.\n          const onExecuted = node.onExecuted\n          node.onExecuted = function (message) {\n            onExecuted?.apply(this, arguments)\n            const audios = message.audio\n            if (!audios) return\n            const audio = audios[0]\n            audioUIWidget.element.src = api.apiURL(\n              getResourceURL(audio.subfolder, audio.filename, audio.type)\n            )\n            audioUIWidget.element.classList.remove('empty-audio-widget')\n          }\n        }\n        return { widget: audioUIWidget }\n      }\n    }\n  },\n  onNodeOutputsUpdated(nodeOutputs: Record<number, any>) {\n    for (const [nodeId, output] of Object.entries(nodeOutputs)) {\n      const node = app.graph.getNodeById(Number.parseInt(nodeId))\n      if ('audio' in output) {\n        const audioUIWidget = node.widgets.find(\n          (w) => w.name === 'audioUI'\n        ) as unknown as DOMWidget<HTMLAudioElement>\n        const audio = output.audio[0]\n        audioUIWidget.element.src = api.apiURL(\n          getResourceURL(audio.subfolder, audio.filename, audio.type)\n        )\n        audioUIWidget.element.classList.remove('empty-audio-widget')\n      }\n    }\n  }\n})\n\napp.registerExtension({\n  name: 'Comfy.UploadAudio',\n  async beforeRegisterNodeDef(nodeType, nodeData: ComfyNodeDef) {\n    if (nodeData?.input?.required?.audio?.[1]?.audio_upload === true) {\n      nodeData.input.required.upload = ['AUDIOUPLOAD']\n    }\n  },\n  getCustomWidgets() {\n    return {\n      AUDIOUPLOAD(node, inputName: string) {\n        // The widget that allows user to select file.\n        const audioWidget: IWidget = node.widgets.find(\n          (w: IWidget) => w.name === 'audio'\n        )\n        const audioUIWidget: DOMWidget<HTMLAudioElement> = node.widgets.find(\n          (w: IWidget) => w.name === 'audioUI'\n        )\n\n        const onAudioWidgetUpdate = () => {\n          audioUIWidget.element.src = api.apiURL(\n            getResourceURL(...splitFilePath(audioWidget.value))\n          )\n        }\n        // Initially load default audio file to audioUIWidget.\n        if (audioWidget.value) {\n          onAudioWidgetUpdate()\n        }\n        audioWidget.callback = onAudioWidgetUpdate\n\n        // Load saved audio file widget values if restoring from workflow\n        const onGraphConfigured = node.onGraphConfigured\n        node.onGraphConfigured = function () {\n          onGraphConfigured?.apply(this, arguments)\n          if (audioWidget.value) {\n            onAudioWidgetUpdate()\n          }\n        }\n\n        const fileInput = document.createElement('input')\n        fileInput.type = 'file'\n        fileInput.accept = 'audio/*'\n        fileInput.style.display = 'none'\n        fileInput.onchange = () => {\n          if (fileInput.files.length) {\n            uploadFile(audioWidget, audioUIWidget, fileInput.files[0], true)\n          }\n        }\n        // The widget to pop up the upload 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diff --git a/ComfyUI/web/assets/index-CI3N807S.js b/ComfyUI/web/assets/index-CI3N807S.js
new file mode 100644
index 0000000000000000000000000000000000000000..4fab8daf7d9ec3fb238fe16744dc2390542c6673
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+        return n[k];
+      }, "get")
+    });
+  });
+  return a;
+}
+__name(getAugmentedNamespace, "getAugmentedNamespace");
+var _Reflect = {};
+/*! *****************************************************************************
+Copyright (C) Microsoft. All rights reserved.
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use
+this file except in compliance with the License. You may obtain a copy of the
+License at http://www.apache.org/licenses/LICENSE-2.0
+
+THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
+WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
+MERCHANTABLITY OR NON-INFRINGEMENT.
+
+See the Apache Version 2.0 License for specific language governing permissions
+and limitations under the License.
+***************************************************************************** */
+var Reflect$1;
+(function(Reflect2) {
+  (function(factory) {
+    var root26 = typeof globalThis === "object" ? globalThis : typeof commonjsGlobal === "object" ? commonjsGlobal : typeof self === "object" ? self : typeof this === "object" ? this : sloppyModeThis();
+    var exporter = makeExporter(Reflect2);
+    if (typeof root26.Reflect !== "undefined") {
+      exporter = makeExporter(root26.Reflect, exporter);
+    }
+    factory(exporter, root26);
+    if (typeof root26.Reflect === "undefined") {
+      root26.Reflect = Reflect2;
+    }
+    function makeExporter(target, previous) {
+      return function(key, value3) {
+        Object.defineProperty(target, key, { configurable: true, writable: true, value: value3 });
+        if (previous)
+          previous(key, value3);
+      };
+    }
+    __name(makeExporter, "makeExporter");
+    function functionThis() {
+      try {
+        return Function("return this;")();
+      } catch (_2) {
+      }
+    }
+    __name(functionThis, "functionThis");
+    function indirectEvalThis() {
+      try {
+        return (void 0, eval)("(function() { return this; })()");
+      } catch (_2) {
+      }
+    }
+    __name(indirectEvalThis, "indirectEvalThis");
+    function sloppyModeThis() {
+      return functionThis() || indirectEvalThis();
+    }
+    __name(sloppyModeThis, "sloppyModeThis");
+  })(function(exporter, root26) {
+    var hasOwn2 = Object.prototype.hasOwnProperty;
+    var supportsSymbol = typeof Symbol === "function";
+    var toPrimitiveSymbol = supportsSymbol && typeof Symbol.toPrimitive !== "undefined" ? Symbol.toPrimitive : "@@toPrimitive";
+    var iteratorSymbol = supportsSymbol && typeof Symbol.iterator !== "undefined" ? Symbol.iterator : "@@iterator";
+    var supportsCreate = typeof Object.create === "function";
+    var supportsProto = { __proto__: [] } instanceof Array;
+    var downLevel = !supportsCreate && !supportsProto;
+    var HashMap = {
+      // create an object in dictionary mode (a.k.a. "slow" mode in v8)
+      create: supportsCreate ? function() {
+        return MakeDictionary(/* @__PURE__ */ Object.create(null));
+      } : supportsProto ? function() {
+        return MakeDictionary({ __proto__: null });
+      } : function() {
+        return MakeDictionary({});
+      },
+      has: downLevel ? function(map2, key) {
+        return hasOwn2.call(map2, key);
+      } : function(map2, key) {
+        return key in map2;
+      },
+      get: downLevel ? function(map2, key) {
+        return hasOwn2.call(map2, key) ? map2[key] : void 0;
+      } : function(map2, key) {
+        return map2[key];
+      }
+    };
+    var functionPrototype = Object.getPrototypeOf(Function);
+    var _Map = typeof Map === "function" && typeof Map.prototype.entries === "function" ? Map : CreateMapPolyfill();
+    var _Set = typeof Set === "function" && typeof Set.prototype.entries === "function" ? Set : CreateSetPolyfill();
+    var _WeakMap = typeof WeakMap === "function" ? WeakMap : CreateWeakMapPolyfill();
+    var registrySymbol = supportsSymbol ? Symbol.for("@reflect-metadata:registry") : void 0;
+    var metadataRegistry = GetOrCreateMetadataRegistry();
+    var metadataProvider = CreateMetadataProvider(metadataRegistry);
+    function decorate(decorators, target, propertyKey, attributes) {
+      if (!IsUndefined(propertyKey)) {
+        if (!IsArray(decorators))
+          throw new TypeError();
+        if (!IsObject(target))
+          throw new TypeError();
+        if (!IsObject(attributes) && !IsUndefined(attributes) && !IsNull(attributes))
+          throw new TypeError();
+        if (IsNull(attributes))
+          attributes = void 0;
+        propertyKey = ToPropertyKey(propertyKey);
+        return DecorateProperty(decorators, target, propertyKey, attributes);
+      } else {
+        if (!IsArray(decorators))
+          throw new TypeError();
+        if (!IsConstructor(target))
+          throw new TypeError();
+        return DecorateConstructor(decorators, target);
+      }
+    }
+    __name(decorate, "decorate");
+    exporter("decorate", decorate);
+    function metadata(metadataKey, metadataValue) {
+      function decorator(target, propertyKey) {
+        if (!IsObject(target))
+          throw new TypeError();
+        if (!IsUndefined(propertyKey) && !IsPropertyKey(propertyKey))
+          throw new TypeError();
+        OrdinaryDefineOwnMetadata(metadataKey, metadataValue, target, propertyKey);
+      }
+      __name(decorator, "decorator");
+      return decorator;
+    }
+    __name(metadata, "metadata");
+    exporter("metadata", metadata);
+    function defineMetadata(metadataKey, metadataValue, target, propertyKey) {
+      if (!IsObject(target))
+        throw new TypeError();
+      if (!IsUndefined(propertyKey))
+        propertyKey = ToPropertyKey(propertyKey);
+      return OrdinaryDefineOwnMetadata(metadataKey, metadataValue, target, propertyKey);
+    }
+    __name(defineMetadata, "defineMetadata");
+    exporter("defineMetadata", defineMetadata);
+    function hasMetadata(metadataKey, target, propertyKey) {
+      if (!IsObject(target))
+        throw new TypeError();
+      if (!IsUndefined(propertyKey))
+        propertyKey = ToPropertyKey(propertyKey);
+      return OrdinaryHasMetadata(metadataKey, target, propertyKey);
+    }
+    __name(hasMetadata, "hasMetadata");
+    exporter("hasMetadata", hasMetadata);
+    function hasOwnMetadata(metadataKey, target, propertyKey) {
+      if (!IsObject(target))
+        throw new TypeError();
+      if (!IsUndefined(propertyKey))
+        propertyKey = ToPropertyKey(propertyKey);
+      return OrdinaryHasOwnMetadata(metadataKey, target, propertyKey);
+    }
+    __name(hasOwnMetadata, "hasOwnMetadata");
+    exporter("hasOwnMetadata", hasOwnMetadata);
+    function getMetadata(metadataKey, target, propertyKey) {
+      if (!IsObject(target))
+        throw new TypeError();
+      if (!IsUndefined(propertyKey))
+        propertyKey = ToPropertyKey(propertyKey);
+      return OrdinaryGetMetadata(metadataKey, target, propertyKey);
+    }
+    __name(getMetadata, "getMetadata");
+    exporter("getMetadata", getMetadata);
+    function getOwnMetadata(metadataKey, target, propertyKey) {
+      if (!IsObject(target))
+        throw new TypeError();
+      if (!IsUndefined(propertyKey))
+        propertyKey = ToPropertyKey(propertyKey);
+      return OrdinaryGetOwnMetadata(metadataKey, target, propertyKey);
+    }
+    __name(getOwnMetadata, "getOwnMetadata");
+    exporter("getOwnMetadata", getOwnMetadata);
+    function getMetadataKeys(target, propertyKey) {
+      if (!IsObject(target))
+        throw new TypeError();
+      if (!IsUndefined(propertyKey))
+        propertyKey = ToPropertyKey(propertyKey);
+      return OrdinaryMetadataKeys(target, propertyKey);
+    }
+    __name(getMetadataKeys, "getMetadataKeys");
+    exporter("getMetadataKeys", getMetadataKeys);
+    function getOwnMetadataKeys(target, propertyKey) {
+      if (!IsObject(target))
+        throw new TypeError();
+      if (!IsUndefined(propertyKey))
+        propertyKey = ToPropertyKey(propertyKey);
+      return OrdinaryOwnMetadataKeys(target, propertyKey);
+    }
+    __name(getOwnMetadataKeys, "getOwnMetadataKeys");
+    exporter("getOwnMetadataKeys", getOwnMetadataKeys);
+    function deleteMetadata(metadataKey, target, propertyKey) {
+      if (!IsObject(target))
+        throw new TypeError();
+      if (!IsUndefined(propertyKey))
+        propertyKey = ToPropertyKey(propertyKey);
+      if (!IsObject(target))
+        throw new TypeError();
+      if (!IsUndefined(propertyKey))
+        propertyKey = ToPropertyKey(propertyKey);
+      var provider = GetMetadataProvider(
+        target,
+        propertyKey,
+        /*Create*/
+        false
+      );
+      if (IsUndefined(provider))
+        return false;
+      return provider.OrdinaryDeleteMetadata(metadataKey, target, propertyKey);
+    }
+    __name(deleteMetadata, "deleteMetadata");
+    exporter("deleteMetadata", deleteMetadata);
+    function DecorateConstructor(decorators, target) {
+      for (var i2 = decorators.length - 1; i2 >= 0; --i2) {
+        var decorator = decorators[i2];
+        var decorated = decorator(target);
+        if (!IsUndefined(decorated) && !IsNull(decorated)) {
+          if (!IsConstructor(decorated))
+            throw new TypeError();
+          target = decorated;
+        }
+      }
+      return target;
+    }
+    __name(DecorateConstructor, "DecorateConstructor");
+    function DecorateProperty(decorators, target, propertyKey, descriptor) {
+      for (var i2 = decorators.length - 1; i2 >= 0; --i2) {
+        var decorator = decorators[i2];
+        var decorated = decorator(target, propertyKey, descriptor);
+        if (!IsUndefined(decorated) && !IsNull(decorated)) {
+          if (!IsObject(decorated))
+            throw new TypeError();
+          descriptor = decorated;
+        }
+      }
+      return descriptor;
+    }
+    __name(DecorateProperty, "DecorateProperty");
+    function OrdinaryHasMetadata(MetadataKey, O, P) {
+      var hasOwn3 = OrdinaryHasOwnMetadata(MetadataKey, O, P);
+      if (hasOwn3)
+        return true;
+      var parent = OrdinaryGetPrototypeOf(O);
+      if (!IsNull(parent))
+        return OrdinaryHasMetadata(MetadataKey, parent, P);
+      return false;
+    }
+    __name(OrdinaryHasMetadata, "OrdinaryHasMetadata");
+    function OrdinaryHasOwnMetadata(MetadataKey, O, P) {
+      var provider = GetMetadataProvider(
+        O,
+        P,
+        /*Create*/
+        false
+      );
+      if (IsUndefined(provider))
+        return false;
+      return ToBoolean(provider.OrdinaryHasOwnMetadata(MetadataKey, O, P));
+    }
+    __name(OrdinaryHasOwnMetadata, "OrdinaryHasOwnMetadata");
+    function OrdinaryGetMetadata(MetadataKey, O, P) {
+      var hasOwn3 = OrdinaryHasOwnMetadata(MetadataKey, O, P);
+      if (hasOwn3)
+        return OrdinaryGetOwnMetadata(MetadataKey, O, P);
+      var parent = OrdinaryGetPrototypeOf(O);
+      if (!IsNull(parent))
+        return OrdinaryGetMetadata(MetadataKey, parent, P);
+      return void 0;
+    }
+    __name(OrdinaryGetMetadata, "OrdinaryGetMetadata");
+    function OrdinaryGetOwnMetadata(MetadataKey, O, P) {
+      var provider = GetMetadataProvider(
+        O,
+        P,
+        /*Create*/
+        false
+      );
+      if (IsUndefined(provider))
+        return;
+      return provider.OrdinaryGetOwnMetadata(MetadataKey, O, P);
+    }
+    __name(OrdinaryGetOwnMetadata, "OrdinaryGetOwnMetadata");
+    function OrdinaryDefineOwnMetadata(MetadataKey, MetadataValue, O, P) {
+      var provider = GetMetadataProvider(
+        O,
+        P,
+        /*Create*/
+        true
+      );
+      provider.OrdinaryDefineOwnMetadata(MetadataKey, MetadataValue, O, P);
+    }
+    __name(OrdinaryDefineOwnMetadata, "OrdinaryDefineOwnMetadata");
+    function OrdinaryMetadataKeys(O, P) {
+      var ownKeys2 = OrdinaryOwnMetadataKeys(O, P);
+      var parent = OrdinaryGetPrototypeOf(O);
+      if (parent === null)
+        return ownKeys2;
+      var parentKeys = OrdinaryMetadataKeys(parent, P);
+      if (parentKeys.length <= 0)
+        return ownKeys2;
+      if (ownKeys2.length <= 0)
+        return parentKeys;
+      var set2 = new _Set();
+      var keys2 = [];
+      for (var _i = 0, ownKeys_1 = ownKeys2; _i < ownKeys_1.length; _i++) {
+        var key = ownKeys_1[_i];
+        var hasKey = set2.has(key);
+        if (!hasKey) {
+          set2.add(key);
+          keys2.push(key);
+        }
+      }
+      for (var _a = 0, parentKeys_1 = parentKeys; _a < parentKeys_1.length; _a++) {
+        var key = parentKeys_1[_a];
+        var hasKey = set2.has(key);
+        if (!hasKey) {
+          set2.add(key);
+          keys2.push(key);
+        }
+      }
+      return keys2;
+    }
+    __name(OrdinaryMetadataKeys, "OrdinaryMetadataKeys");
+    function OrdinaryOwnMetadataKeys(O, P) {
+      var provider = GetMetadataProvider(
+        O,
+        P,
+        /*create*/
+        false
+      );
+      if (!provider) {
+        return [];
+      }
+      return provider.OrdinaryOwnMetadataKeys(O, P);
+    }
+    __name(OrdinaryOwnMetadataKeys, "OrdinaryOwnMetadataKeys");
+    function Type2(x2) {
+      if (x2 === null)
+        return 1;
+      switch (typeof x2) {
+        case "undefined":
+          return 0;
+        case "boolean":
+          return 2;
+        case "string":
+          return 3;
+        case "symbol":
+          return 4;
+        case "number":
+          return 5;
+        case "object":
+          return x2 === null ? 1 : 6;
+        default:
+          return 6;
+      }
+    }
+    __name(Type2, "Type");
+    function IsUndefined(x2) {
+      return x2 === void 0;
+    }
+    __name(IsUndefined, "IsUndefined");
+    function IsNull(x2) {
+      return x2 === null;
+    }
+    __name(IsNull, "IsNull");
+    function IsSymbol(x2) {
+      return typeof x2 === "symbol";
+    }
+    __name(IsSymbol, "IsSymbol");
+    function IsObject(x2) {
+      return typeof x2 === "object" ? x2 !== null : typeof x2 === "function";
+    }
+    __name(IsObject, "IsObject");
+    function ToPrimitive(input, PreferredType) {
+      switch (Type2(input)) {
+        case 0:
+          return input;
+        case 1:
+          return input;
+        case 2:
+          return input;
+        case 3:
+          return input;
+        case 4:
+          return input;
+        case 5:
+          return input;
+      }
+      var hint = PreferredType === 3 ? "string" : PreferredType === 5 ? "number" : "default";
+      var exoticToPrim = GetMethod(input, toPrimitiveSymbol);
+      if (exoticToPrim !== void 0) {
+        var result = exoticToPrim.call(input, hint);
+        if (IsObject(result))
+          throw new TypeError();
+        return result;
+      }
+      return OrdinaryToPrimitive(input, hint === "default" ? "number" : hint);
+    }
+    __name(ToPrimitive, "ToPrimitive");
+    function OrdinaryToPrimitive(O, hint) {
+      if (hint === "string") {
+        var toString_1 = O.toString;
+        if (IsCallable(toString_1)) {
+          var result = toString_1.call(O);
+          if (!IsObject(result))
+            return result;
+        }
+        var valueOf = O.valueOf;
+        if (IsCallable(valueOf)) {
+          var result = valueOf.call(O);
+          if (!IsObject(result))
+            return result;
+        }
+      } else {
+        var valueOf = O.valueOf;
+        if (IsCallable(valueOf)) {
+          var result = valueOf.call(O);
+          if (!IsObject(result))
+            return result;
+        }
+        var toString_2 = O.toString;
+        if (IsCallable(toString_2)) {
+          var result = toString_2.call(O);
+          if (!IsObject(result))
+            return result;
+        }
+      }
+      throw new TypeError();
+    }
+    __name(OrdinaryToPrimitive, "OrdinaryToPrimitive");
+    function ToBoolean(argument) {
+      return !!argument;
+    }
+    __name(ToBoolean, "ToBoolean");
+    function ToString(argument) {
+      return "" + argument;
+    }
+    __name(ToString, "ToString");
+    function ToPropertyKey(argument) {
+      var key = ToPrimitive(
+        argument,
+        3
+        /* String */
+      );
+      if (IsSymbol(key))
+        return key;
+      return ToString(key);
+    }
+    __name(ToPropertyKey, "ToPropertyKey");
+    function IsArray(argument) {
+      return Array.isArray ? Array.isArray(argument) : argument instanceof Object ? argument instanceof Array : Object.prototype.toString.call(argument) === "[object Array]";
+    }
+    __name(IsArray, "IsArray");
+    function IsCallable(argument) {
+      return typeof argument === "function";
+    }
+    __name(IsCallable, "IsCallable");
+    function IsConstructor(argument) {
+      return typeof argument === "function";
+    }
+    __name(IsConstructor, "IsConstructor");
+    function IsPropertyKey(argument) {
+      switch (Type2(argument)) {
+        case 3:
+          return true;
+        case 4:
+          return true;
+        default:
+          return false;
+      }
+    }
+    __name(IsPropertyKey, "IsPropertyKey");
+    function SameValueZero(x2, y2) {
+      return x2 === y2 || x2 !== x2 && y2 !== y2;
+    }
+    __name(SameValueZero, "SameValueZero");
+    function GetMethod(V, P) {
+      var func = V[P];
+      if (func === void 0 || func === null)
+        return void 0;
+      if (!IsCallable(func))
+        throw new TypeError();
+      return func;
+    }
+    __name(GetMethod, "GetMethod");
+    function GetIterator(obj) {
+      var method = GetMethod(obj, iteratorSymbol);
+      if (!IsCallable(method))
+        throw new TypeError();
+      var iterator = method.call(obj);
+      if (!IsObject(iterator))
+        throw new TypeError();
+      return iterator;
+    }
+    __name(GetIterator, "GetIterator");
+    function IteratorValue(iterResult) {
+      return iterResult.value;
+    }
+    __name(IteratorValue, "IteratorValue");
+    function IteratorStep(iterator) {
+      var result = iterator.next();
+      return result.done ? false : result;
+    }
+    __name(IteratorStep, "IteratorStep");
+    function IteratorClose(iterator) {
+      var f = iterator["return"];
+      if (f)
+        f.call(iterator);
+    }
+    __name(IteratorClose, "IteratorClose");
+    function OrdinaryGetPrototypeOf(O) {
+      var proto = Object.getPrototypeOf(O);
+      if (typeof O !== "function" || O === functionPrototype)
+        return proto;
+      if (proto !== functionPrototype)
+        return proto;
+      var prototype2 = O.prototype;
+      var prototypeProto = prototype2 && Object.getPrototypeOf(prototype2);
+      if (prototypeProto == null || prototypeProto === Object.prototype)
+        return proto;
+      var constructor = prototypeProto.constructor;
+      if (typeof constructor !== "function")
+        return proto;
+      if (constructor === O)
+        return proto;
+      return constructor;
+    }
+    __name(OrdinaryGetPrototypeOf, "OrdinaryGetPrototypeOf");
+    function CreateMetadataRegistry() {
+      var fallback;
+      if (!IsUndefined(registrySymbol) && typeof root26.Reflect !== "undefined" && !(registrySymbol in root26.Reflect) && typeof root26.Reflect.defineMetadata === "function") {
+        fallback = CreateFallbackProvider(root26.Reflect);
+      }
+      var first;
+      var second;
+      var rest;
+      var targetProviderMap = new _WeakMap();
+      var registry = {
+        registerProvider,
+        getProvider,
+        setProvider
+      };
+      return registry;
+      function registerProvider(provider) {
+        if (!Object.isExtensible(registry)) {
+          throw new Error("Cannot add provider to a frozen registry.");
+        }
+        switch (true) {
+          case fallback === provider:
+            break;
+          case IsUndefined(first):
+            first = provider;
+            break;
+          case first === provider:
+            break;
+          case IsUndefined(second):
+            second = provider;
+            break;
+          case second === provider:
+            break;
+          default:
+            if (rest === void 0)
+              rest = new _Set();
+            rest.add(provider);
+            break;
+        }
+      }
+      __name(registerProvider, "registerProvider");
+      function getProviderNoCache(O, P) {
+        if (!IsUndefined(first)) {
+          if (first.isProviderFor(O, P))
+            return first;
+          if (!IsUndefined(second)) {
+            if (second.isProviderFor(O, P))
+              return first;
+            if (!IsUndefined(rest)) {
+              var iterator = GetIterator(rest);
+              while (true) {
+                var next2 = IteratorStep(iterator);
+                if (!next2) {
+                  return void 0;
+                }
+                var provider = IteratorValue(next2);
+                if (provider.isProviderFor(O, P)) {
+                  IteratorClose(iterator);
+                  return provider;
+                }
+              }
+            }
+          }
+        }
+        if (!IsUndefined(fallback) && fallback.isProviderFor(O, P)) {
+          return fallback;
+        }
+        return void 0;
+      }
+      __name(getProviderNoCache, "getProviderNoCache");
+      function getProvider(O, P) {
+        var providerMap = targetProviderMap.get(O);
+        var provider;
+        if (!IsUndefined(providerMap)) {
+          provider = providerMap.get(P);
+        }
+        if (!IsUndefined(provider)) {
+          return provider;
+        }
+        provider = getProviderNoCache(O, P);
+        if (!IsUndefined(provider)) {
+          if (IsUndefined(providerMap)) {
+            providerMap = new _Map();
+            targetProviderMap.set(O, providerMap);
+          }
+          providerMap.set(P, provider);
+        }
+        return provider;
+      }
+      __name(getProvider, "getProvider");
+      function hasProvider(provider) {
+        if (IsUndefined(provider))
+          throw new TypeError();
+        return first === provider || second === provider || !IsUndefined(rest) && rest.has(provider);
+      }
+      __name(hasProvider, "hasProvider");
+      function setProvider(O, P, provider) {
+        if (!hasProvider(provider)) {
+          throw new Error("Metadata provider not registered.");
+        }
+        var existingProvider = getProvider(O, P);
+        if (existingProvider !== provider) {
+          if (!IsUndefined(existingProvider)) {
+            return false;
+          }
+          var providerMap = targetProviderMap.get(O);
+          if (IsUndefined(providerMap)) {
+            providerMap = new _Map();
+            targetProviderMap.set(O, providerMap);
+          }
+          providerMap.set(P, provider);
+        }
+        return true;
+      }
+      __name(setProvider, "setProvider");
+    }
+    __name(CreateMetadataRegistry, "CreateMetadataRegistry");
+    function GetOrCreateMetadataRegistry() {
+      var metadataRegistry2;
+      if (!IsUndefined(registrySymbol) && IsObject(root26.Reflect) && Object.isExtensible(root26.Reflect)) {
+        metadataRegistry2 = root26.Reflect[registrySymbol];
+      }
+      if (IsUndefined(metadataRegistry2)) {
+        metadataRegistry2 = CreateMetadataRegistry();
+      }
+      if (!IsUndefined(registrySymbol) && IsObject(root26.Reflect) && Object.isExtensible(root26.Reflect)) {
+        Object.defineProperty(root26.Reflect, registrySymbol, {
+          enumerable: false,
+          configurable: false,
+          writable: false,
+          value: metadataRegistry2
+        });
+      }
+      return metadataRegistry2;
+    }
+    __name(GetOrCreateMetadataRegistry, "GetOrCreateMetadataRegistry");
+    function CreateMetadataProvider(registry) {
+      var metadata2 = new _WeakMap();
+      var provider = {
+        isProviderFor: /* @__PURE__ */ __name(function(O, P) {
+          var targetMetadata = metadata2.get(O);
+          if (IsUndefined(targetMetadata))
+            return false;
+          return targetMetadata.has(P);
+        }, "isProviderFor"),
+        OrdinaryDefineOwnMetadata: OrdinaryDefineOwnMetadata2,
+        OrdinaryHasOwnMetadata: OrdinaryHasOwnMetadata2,
+        OrdinaryGetOwnMetadata: OrdinaryGetOwnMetadata2,
+        OrdinaryOwnMetadataKeys: OrdinaryOwnMetadataKeys2,
+        OrdinaryDeleteMetadata
+      };
+      metadataRegistry.registerProvider(provider);
+      return provider;
+      function GetOrCreateMetadataMap(O, P, Create) {
+        var targetMetadata = metadata2.get(O);
+        var createdTargetMetadata = false;
+        if (IsUndefined(targetMetadata)) {
+          if (!Create)
+            return void 0;
+          targetMetadata = new _Map();
+          metadata2.set(O, targetMetadata);
+          createdTargetMetadata = true;
+        }
+        var metadataMap = targetMetadata.get(P);
+        if (IsUndefined(metadataMap)) {
+          if (!Create)
+            return void 0;
+          metadataMap = new _Map();
+          targetMetadata.set(P, metadataMap);
+          if (!registry.setProvider(O, P, provider)) {
+            targetMetadata.delete(P);
+            if (createdTargetMetadata) {
+              metadata2.delete(O);
+            }
+            throw new Error("Wrong provider for target.");
+          }
+        }
+        return metadataMap;
+      }
+      __name(GetOrCreateMetadataMap, "GetOrCreateMetadataMap");
+      function OrdinaryHasOwnMetadata2(MetadataKey, O, P) {
+        var metadataMap = GetOrCreateMetadataMap(
+          O,
+          P,
+          /*Create*/
+          false
+        );
+        if (IsUndefined(metadataMap))
+          return false;
+        return ToBoolean(metadataMap.has(MetadataKey));
+      }
+      __name(OrdinaryHasOwnMetadata2, "OrdinaryHasOwnMetadata");
+      function OrdinaryGetOwnMetadata2(MetadataKey, O, P) {
+        var metadataMap = GetOrCreateMetadataMap(
+          O,
+          P,
+          /*Create*/
+          false
+        );
+        if (IsUndefined(metadataMap))
+          return void 0;
+        return metadataMap.get(MetadataKey);
+      }
+      __name(OrdinaryGetOwnMetadata2, "OrdinaryGetOwnMetadata");
+      function OrdinaryDefineOwnMetadata2(MetadataKey, MetadataValue, O, P) {
+        var metadataMap = GetOrCreateMetadataMap(
+          O,
+          P,
+          /*Create*/
+          true
+        );
+        metadataMap.set(MetadataKey, MetadataValue);
+      }
+      __name(OrdinaryDefineOwnMetadata2, "OrdinaryDefineOwnMetadata");
+      function OrdinaryOwnMetadataKeys2(O, P) {
+        var keys2 = [];
+        var metadataMap = GetOrCreateMetadataMap(
+          O,
+          P,
+          /*Create*/
+          false
+        );
+        if (IsUndefined(metadataMap))
+          return keys2;
+        var keysObj = metadataMap.keys();
+        var iterator = GetIterator(keysObj);
+        var k = 0;
+        while (true) {
+          var next2 = IteratorStep(iterator);
+          if (!next2) {
+            keys2.length = k;
+            return keys2;
+          }
+          var nextValue = IteratorValue(next2);
+          try {
+            keys2[k] = nextValue;
+          } catch (e) {
+            try {
+              IteratorClose(iterator);
+            } finally {
+              throw e;
+            }
+          }
+          k++;
+        }
+      }
+      __name(OrdinaryOwnMetadataKeys2, "OrdinaryOwnMetadataKeys");
+      function OrdinaryDeleteMetadata(MetadataKey, O, P) {
+        var metadataMap = GetOrCreateMetadataMap(
+          O,
+          P,
+          /*Create*/
+          false
+        );
+        if (IsUndefined(metadataMap))
+          return false;
+        if (!metadataMap.delete(MetadataKey))
+          return false;
+        if (metadataMap.size === 0) {
+          var targetMetadata = metadata2.get(O);
+          if (!IsUndefined(targetMetadata)) {
+            targetMetadata.delete(P);
+            if (targetMetadata.size === 0) {
+              metadata2.delete(targetMetadata);
+            }
+          }
+        }
+        return true;
+      }
+      __name(OrdinaryDeleteMetadata, "OrdinaryDeleteMetadata");
+    }
+    __name(CreateMetadataProvider, "CreateMetadataProvider");
+    function CreateFallbackProvider(reflect) {
+      var defineMetadata2 = reflect.defineMetadata, hasOwnMetadata2 = reflect.hasOwnMetadata, getOwnMetadata2 = reflect.getOwnMetadata, getOwnMetadataKeys2 = reflect.getOwnMetadataKeys, deleteMetadata2 = reflect.deleteMetadata;
+      var metadataOwner = new _WeakMap();
+      var provider = {
+        isProviderFor: /* @__PURE__ */ __name(function(O, P) {
+          var metadataPropertySet = metadataOwner.get(O);
+          if (!IsUndefined(metadataPropertySet) && metadataPropertySet.has(P)) {
+            return true;
+          }
+          if (getOwnMetadataKeys2(O, P).length) {
+            if (IsUndefined(metadataPropertySet)) {
+              metadataPropertySet = new _Set();
+              metadataOwner.set(O, metadataPropertySet);
+            }
+            metadataPropertySet.add(P);
+            return true;
+          }
+          return false;
+        }, "isProviderFor"),
+        OrdinaryDefineOwnMetadata: defineMetadata2,
+        OrdinaryHasOwnMetadata: hasOwnMetadata2,
+        OrdinaryGetOwnMetadata: getOwnMetadata2,
+        OrdinaryOwnMetadataKeys: getOwnMetadataKeys2,
+        OrdinaryDeleteMetadata: deleteMetadata2
+      };
+      return provider;
+    }
+    __name(CreateFallbackProvider, "CreateFallbackProvider");
+    function GetMetadataProvider(O, P, Create) {
+      var registeredProvider = metadataRegistry.getProvider(O, P);
+      if (!IsUndefined(registeredProvider)) {
+        return registeredProvider;
+      }
+      if (Create) {
+        if (metadataRegistry.setProvider(O, P, metadataProvider)) {
+          return metadataProvider;
+        }
+        throw new Error("Illegal state.");
+      }
+      return void 0;
+    }
+    __name(GetMetadataProvider, "GetMetadataProvider");
+    function CreateMapPolyfill() {
+      var cacheSentinel = {};
+      var arraySentinel = [];
+      var MapIterator = (
+        /** @class */
+        function() {
+          function MapIterator2(keys2, values2, selector) {
+            this._index = 0;
+            this._keys = keys2;
+            this._values = values2;
+            this._selector = selector;
+          }
+          __name(MapIterator2, "MapIterator");
+          MapIterator2.prototype["@@iterator"] = function() {
+            return this;
+          };
+          MapIterator2.prototype[iteratorSymbol] = function() {
+            return this;
+          };
+          MapIterator2.prototype.next = function() {
+            var index2 = this._index;
+            if (index2 >= 0 && index2 < this._keys.length) {
+              var result = this._selector(this._keys[index2], this._values[index2]);
+              if (index2 + 1 >= this._keys.length) {
+                this._index = -1;
+                this._keys = arraySentinel;
+                this._values = arraySentinel;
+              } else {
+                this._index++;
+              }
+              return { value: result, done: false };
+            }
+            return { value: void 0, done: true };
+          };
+          MapIterator2.prototype.throw = function(error) {
+            if (this._index >= 0) {
+              this._index = -1;
+              this._keys = arraySentinel;
+              this._values = arraySentinel;
+            }
+            throw error;
+          };
+          MapIterator2.prototype.return = function(value3) {
+            if (this._index >= 0) {
+              this._index = -1;
+              this._keys = arraySentinel;
+              this._values = arraySentinel;
+            }
+            return { value: value3, done: true };
+          };
+          return MapIterator2;
+        }()
+      );
+      var Map2 = (
+        /** @class */
+        function() {
+          function Map3() {
+            this._keys = [];
+            this._values = [];
+            this._cacheKey = cacheSentinel;
+            this._cacheIndex = -2;
+          }
+          __name(Map3, "Map");
+          Object.defineProperty(Map3.prototype, "size", {
+            get: /* @__PURE__ */ __name(function() {
+              return this._keys.length;
+            }, "get"),
+            enumerable: true,
+            configurable: true
+          });
+          Map3.prototype.has = function(key) {
+            return this._find(
+              key,
+              /*insert*/
+              false
+            ) >= 0;
+          };
+          Map3.prototype.get = function(key) {
+            var index2 = this._find(
+              key,
+              /*insert*/
+              false
+            );
+            return index2 >= 0 ? this._values[index2] : void 0;
+          };
+          Map3.prototype.set = function(key, value3) {
+            var index2 = this._find(
+              key,
+              /*insert*/
+              true
+            );
+            this._values[index2] = value3;
+            return this;
+          };
+          Map3.prototype.delete = function(key) {
+            var index2 = this._find(
+              key,
+              /*insert*/
+              false
+            );
+            if (index2 >= 0) {
+              var size2 = this._keys.length;
+              for (var i2 = index2 + 1; i2 < size2; i2++) {
+                this._keys[i2 - 1] = this._keys[i2];
+                this._values[i2 - 1] = this._values[i2];
+              }
+              this._keys.length--;
+              this._values.length--;
+              if (SameValueZero(key, this._cacheKey)) {
+                this._cacheKey = cacheSentinel;
+                this._cacheIndex = -2;
+              }
+              return true;
+            }
+            return false;
+          };
+          Map3.prototype.clear = function() {
+            this._keys.length = 0;
+            this._values.length = 0;
+            this._cacheKey = cacheSentinel;
+            this._cacheIndex = -2;
+          };
+          Map3.prototype.keys = function() {
+            return new MapIterator(this._keys, this._values, getKey);
+          };
+          Map3.prototype.values = function() {
+            return new MapIterator(this._keys, this._values, getValue2);
+          };
+          Map3.prototype.entries = function() {
+            return new MapIterator(this._keys, this._values, getEntry);
+          };
+          Map3.prototype["@@iterator"] = function() {
+            return this.entries();
+          };
+          Map3.prototype[iteratorSymbol] = function() {
+            return this.entries();
+          };
+          Map3.prototype._find = function(key, insert2) {
+            if (!SameValueZero(this._cacheKey, key)) {
+              this._cacheIndex = -1;
+              for (var i2 = 0; i2 < this._keys.length; i2++) {
+                if (SameValueZero(this._keys[i2], key)) {
+                  this._cacheIndex = i2;
+                  break;
+                }
+              }
+            }
+            if (this._cacheIndex < 0 && insert2) {
+              this._cacheIndex = this._keys.length;
+              this._keys.push(key);
+              this._values.push(void 0);
+            }
+            return this._cacheIndex;
+          };
+          return Map3;
+        }()
+      );
+      return Map2;
+      function getKey(key, _2) {
+        return key;
+      }
+      __name(getKey, "getKey");
+      function getValue2(_2, value3) {
+        return value3;
+      }
+      __name(getValue2, "getValue");
+      function getEntry(key, value3) {
+        return [key, value3];
+      }
+      __name(getEntry, "getEntry");
+    }
+    __name(CreateMapPolyfill, "CreateMapPolyfill");
+    function CreateSetPolyfill() {
+      var Set2 = (
+        /** @class */
+        function() {
+          function Set3() {
+            this._map = new _Map();
+          }
+          __name(Set3, "Set");
+          Object.defineProperty(Set3.prototype, "size", {
+            get: /* @__PURE__ */ __name(function() {
+              return this._map.size;
+            }, "get"),
+            enumerable: true,
+            configurable: true
+          });
+          Set3.prototype.has = function(value3) {
+            return this._map.has(value3);
+          };
+          Set3.prototype.add = function(value3) {
+            return this._map.set(value3, value3), this;
+          };
+          Set3.prototype.delete = function(value3) {
+            return this._map.delete(value3);
+          };
+          Set3.prototype.clear = function() {
+            this._map.clear();
+          };
+          Set3.prototype.keys = function() {
+            return this._map.keys();
+          };
+          Set3.prototype.values = function() {
+            return this._map.keys();
+          };
+          Set3.prototype.entries = function() {
+            return this._map.entries();
+          };
+          Set3.prototype["@@iterator"] = function() {
+            return this.keys();
+          };
+          Set3.prototype[iteratorSymbol] = function() {
+            return this.keys();
+          };
+          return Set3;
+        }()
+      );
+      return Set2;
+    }
+    __name(CreateSetPolyfill, "CreateSetPolyfill");
+    function CreateWeakMapPolyfill() {
+      var UUID_SIZE = 16;
+      var keys2 = HashMap.create();
+      var rootKey = CreateUniqueKey();
+      return (
+        /** @class */
+        function() {
+          function WeakMap2() {
+            this._key = CreateUniqueKey();
+          }
+          __name(WeakMap2, "WeakMap");
+          WeakMap2.prototype.has = function(target) {
+            var table = GetOrCreateWeakMapTable(
+              target,
+              /*create*/
+              false
+            );
+            return table !== void 0 ? HashMap.has(table, this._key) : false;
+          };
+          WeakMap2.prototype.get = function(target) {
+            var table = GetOrCreateWeakMapTable(
+              target,
+              /*create*/
+              false
+            );
+            return table !== void 0 ? HashMap.get(table, this._key) : void 0;
+          };
+          WeakMap2.prototype.set = function(target, value3) {
+            var table = GetOrCreateWeakMapTable(
+              target,
+              /*create*/
+              true
+            );
+            table[this._key] = value3;
+            return this;
+          };
+          WeakMap2.prototype.delete = function(target) {
+            var table = GetOrCreateWeakMapTable(
+              target,
+              /*create*/
+              false
+            );
+            return table !== void 0 ? delete table[this._key] : false;
+          };
+          WeakMap2.prototype.clear = function() {
+            this._key = CreateUniqueKey();
+          };
+          return WeakMap2;
+        }()
+      );
+      function CreateUniqueKey() {
+        var key;
+        do
+          key = "@@WeakMap@@" + CreateUUID();
+        while (HashMap.has(keys2, key));
+        keys2[key] = true;
+        return key;
+      }
+      __name(CreateUniqueKey, "CreateUniqueKey");
+      function GetOrCreateWeakMapTable(target, create2) {
+        if (!hasOwn2.call(target, rootKey)) {
+          if (!create2)
+            return void 0;
+          Object.defineProperty(target, rootKey, { value: HashMap.create() });
+        }
+        return target[rootKey];
+      }
+      __name(GetOrCreateWeakMapTable, "GetOrCreateWeakMapTable");
+      function FillRandomBytes(buffer2, size2) {
+        for (var i2 = 0; i2 < size2; ++i2)
+          buffer2[i2] = Math.random() * 255 | 0;
+        return buffer2;
+      }
+      __name(FillRandomBytes, "FillRandomBytes");
+      function GenRandomBytes(size2) {
+        if (typeof Uint8Array === "function") {
+          var array = new Uint8Array(size2);
+          if (typeof crypto !== "undefined") {
+            crypto.getRandomValues(array);
+          } else if (typeof msCrypto !== "undefined") {
+            msCrypto.getRandomValues(array);
+          } else {
+            FillRandomBytes(array, size2);
+          }
+          return array;
+        }
+        return FillRandomBytes(new Array(size2), size2);
+      }
+      __name(GenRandomBytes, "GenRandomBytes");
+      function CreateUUID() {
+        var data24 = GenRandomBytes(UUID_SIZE);
+        data24[6] = data24[6] & 79 | 64;
+        data24[8] = data24[8] & 191 | 128;
+        var result = "";
+        for (var offset = 0; offset < UUID_SIZE; ++offset) {
+          var byte = data24[offset];
+          if (offset === 4 || offset === 6 || offset === 8)
+            result += "-";
+          if (byte < 16)
+            result += "0";
+          result += byte.toString(16).toLowerCase();
+        }
+        return result;
+      }
+      __name(CreateUUID, "CreateUUID");
+    }
+    __name(CreateWeakMapPolyfill, "CreateWeakMapPolyfill");
+    function MakeDictionary(obj) {
+      obj.__ = void 0;
+      delete obj.__;
+      return obj;
+    }
+    __name(MakeDictionary, "MakeDictionary");
+  });
+})(Reflect$1 || (Reflect$1 = {}));
+window["__COMFYUI_FRONTEND_VERSION__"] = "1.2.40";
+console.log("ComfyUI Front-end version:", "1.2.40");
+/**
+* @vue/shared v3.4.31
+* (c) 2018-present Yuxi (Evan) You and Vue contributors
+* @license MIT
+**/
+/*! #__NO_SIDE_EFFECTS__ */
+// @__NO_SIDE_EFFECTS__
+function makeMap(str, expectsLowerCase) {
+  const set2 = new Set(str.split(","));
+  return expectsLowerCase ? (val) => set2.has(val.toLowerCase()) : (val) => set2.has(val);
+}
+__name(makeMap, "makeMap");
+const EMPTY_OBJ = false ? Object.freeze({}) : {};
+const EMPTY_ARR = false ? Object.freeze([]) : [];
+const NOOP = /* @__PURE__ */ __name(() => {
+}, "NOOP");
+const NO = /* @__PURE__ */ __name(() => false, "NO");
+const isOn = /* @__PURE__ */ __name((key) => key.charCodeAt(0) === 111 && key.charCodeAt(1) === 110 && // uppercase letter
+(key.charCodeAt(2) > 122 || key.charCodeAt(2) < 97), "isOn");
+const isModelListener = /* @__PURE__ */ __name((key) => key.startsWith("onUpdate:"), "isModelListener");
+const extend$1 = Object.assign;
+const remove$1 = /* @__PURE__ */ __name((arr, el) => {
+  const i2 = arr.indexOf(el);
+  if (i2 > -1) {
+    arr.splice(i2, 1);
+  }
+}, "remove$1");
+const hasOwnProperty$3 = Object.prototype.hasOwnProperty;
+const hasOwn$3 = /* @__PURE__ */ __name((val, key) => hasOwnProperty$3.call(val, key), "hasOwn$3");
+const isArray$4 = Array.isArray;
+const isMap = /* @__PURE__ */ __name((val) => toTypeString$1(val) === "[object Map]", "isMap");
+const isSet = /* @__PURE__ */ __name((val) => toTypeString$1(val) === "[object Set]", "isSet");
+const isDate$3 = /* @__PURE__ */ __name((val) => toTypeString$1(val) === "[object Date]", "isDate$3");
+const isRegExp$2 = /* @__PURE__ */ __name((val) => toTypeString$1(val) === "[object RegExp]", "isRegExp$2");
+const isFunction$4 = /* @__PURE__ */ __name((val) => typeof val === "function", "isFunction$4");
+const isString$5 = /* @__PURE__ */ __name((val) => typeof val === "string", "isString$5");
+const isSymbol$1 = /* @__PURE__ */ __name((val) => typeof val === "symbol", "isSymbol$1");
+const isObject$6 = /* @__PURE__ */ __name((val) => val !== null && typeof val === "object", "isObject$6");
+const isPromise$2 = /* @__PURE__ */ __name((val) => {
+  return (isObject$6(val) || isFunction$4(val)) && isFunction$4(val.then) && isFunction$4(val.catch);
+}, "isPromise$2");
+const objectToString$1 = Object.prototype.toString;
+const toTypeString$1 = /* @__PURE__ */ __name((value3) => objectToString$1.call(value3), "toTypeString$1");
+const toRawType = /* @__PURE__ */ __name((value3) => {
+  return toTypeString$1(value3).slice(8, -1);
+}, "toRawType");
+const isPlainObject$3 = /* @__PURE__ */ __name((val) => toTypeString$1(val) === "[object Object]", "isPlainObject$3");
+const isIntegerKey = /* @__PURE__ */ __name((key) => isString$5(key) && key !== "NaN" && key[0] !== "-" && "" + parseInt(key, 10) === key, "isIntegerKey");
+const isReservedProp = /* @__PURE__ */ makeMap(
+  // the leading comma is intentional so empty string "" is also included
+  ",key,ref,ref_for,ref_key,onVnodeBeforeMount,onVnodeMounted,onVnodeBeforeUpdate,onVnodeUpdated,onVnodeBeforeUnmount,onVnodeUnmounted"
+);
+const isBuiltInDirective = /* @__PURE__ */ makeMap(
+  "bind,cloak,else-if,else,for,html,if,model,on,once,pre,show,slot,text,memo"
+);
+const cacheStringFunction$1 = /* @__PURE__ */ __name((fn) => {
+  const cache2 = /* @__PURE__ */ Object.create(null);
+  return (str) => {
+    const hit = cache2[str];
+    return hit || (cache2[str] = fn(str));
+  };
+}, "cacheStringFunction$1");
+const camelizeRE$1 = /-(\w)/g;
+const camelize$1 = cacheStringFunction$1((str) => {
+  return str.replace(camelizeRE$1, (_2, c) => c ? c.toUpperCase() : "");
+});
+const hyphenateRE$1 = /\B([A-Z])/g;
+const hyphenate$1 = cacheStringFunction$1(
+  (str) => str.replace(hyphenateRE$1, "-$1").toLowerCase()
+);
+const capitalize$1 = cacheStringFunction$1((str) => {
+  return str.charAt(0).toUpperCase() + str.slice(1);
+});
+const toHandlerKey = cacheStringFunction$1((str) => {
+  const s = str ? `on${capitalize$1(str)}` : ``;
+  return s;
+});
+const hasChanged = /* @__PURE__ */ __name((value3, oldValue) => !Object.is(value3, oldValue), "hasChanged");
+const invokeArrayFns = /* @__PURE__ */ __name((fns, ...arg) => {
+  for (let i2 = 0; i2 < fns.length; i2++) {
+    fns[i2](...arg);
+  }
+}, "invokeArrayFns");
+const def = /* @__PURE__ */ __name((obj, key, value3, writable = false) => {
+  Object.defineProperty(obj, key, {
+    configurable: true,
+    enumerable: false,
+    writable,
+    value: value3
+  });
+}, "def");
+const looseToNumber = /* @__PURE__ */ __name((val) => {
+  const n = parseFloat(val);
+  return isNaN(n) ? val : n;
+}, "looseToNumber");
+const toNumber = /* @__PURE__ */ __name((val) => {
+  const n = isString$5(val) ? Number(val) : NaN;
+  return isNaN(n) ? val : n;
+}, "toNumber");
+let _globalThis$1;
+const getGlobalThis$1 = /* @__PURE__ */ __name(() => {
+  return _globalThis$1 || (_globalThis$1 = typeof globalThis !== "undefined" ? globalThis : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : typeof global !== "undefined" ? global : {});
+}, "getGlobalThis$1");
+const identRE = /^[_$a-zA-Z\xA0-\uFFFF][_$a-zA-Z0-9\xA0-\uFFFF]*$/;
+function genPropsAccessExp(name) {
+  return identRE.test(name) ? `__props.${name}` : `__props[${JSON.stringify(name)}]`;
+}
+__name(genPropsAccessExp, "genPropsAccessExp");
+const PatchFlags = {
+  "TEXT": 1,
+  "1": "TEXT",
+  "CLASS": 2,
+  "2": "CLASS",
+  "STYLE": 4,
+  "4": "STYLE",
+  "PROPS": 8,
+  "8": "PROPS",
+  "FULL_PROPS": 16,
+  "16": "FULL_PROPS",
+  "NEED_HYDRATION": 32,
+  "32": "NEED_HYDRATION",
+  "STABLE_FRAGMENT": 64,
+  "64": "STABLE_FRAGMENT",
+  "KEYED_FRAGMENT": 128,
+  "128": "KEYED_FRAGMENT",
+  "UNKEYED_FRAGMENT": 256,
+  "256": "UNKEYED_FRAGMENT",
+  "NEED_PATCH": 512,
+  "512": "NEED_PATCH",
+  "DYNAMIC_SLOTS": 1024,
+  "1024": "DYNAMIC_SLOTS",
+  "DEV_ROOT_FRAGMENT": 2048,
+  "2048": "DEV_ROOT_FRAGMENT",
+  "HOISTED": -1,
+  "-1": "HOISTED",
+  "BAIL": -2,
+  "-2": "BAIL"
+};
+const PatchFlagNames = {
+  [1]: `TEXT`,
+  [2]: `CLASS`,
+  [4]: `STYLE`,
+  [8]: `PROPS`,
+  [16]: `FULL_PROPS`,
+  [32]: `NEED_HYDRATION`,
+  [64]: `STABLE_FRAGMENT`,
+  [128]: `KEYED_FRAGMENT`,
+  [256]: `UNKEYED_FRAGMENT`,
+  [512]: `NEED_PATCH`,
+  [1024]: `DYNAMIC_SLOTS`,
+  [2048]: `DEV_ROOT_FRAGMENT`,
+  [-1]: `HOISTED`,
+  [-2]: `BAIL`
+};
+const ShapeFlags = {
+  "ELEMENT": 1,
+  "1": "ELEMENT",
+  "FUNCTIONAL_COMPONENT": 2,
+  "2": "FUNCTIONAL_COMPONENT",
+  "STATEFUL_COMPONENT": 4,
+  "4": "STATEFUL_COMPONENT",
+  "TEXT_CHILDREN": 8,
+  "8": "TEXT_CHILDREN",
+  "ARRAY_CHILDREN": 16,
+  "16": "ARRAY_CHILDREN",
+  "SLOTS_CHILDREN": 32,
+  "32": "SLOTS_CHILDREN",
+  "TELEPORT": 64,
+  "64": "TELEPORT",
+  "SUSPENSE": 128,
+  "128": "SUSPENSE",
+  "COMPONENT_SHOULD_KEEP_ALIVE": 256,
+  "256": "COMPONENT_SHOULD_KEEP_ALIVE",
+  "COMPONENT_KEPT_ALIVE": 512,
+  "512": "COMPONENT_KEPT_ALIVE",
+  "COMPONENT": 6,
+  "6": "COMPONENT"
+};
+const SlotFlags = {
+  "STABLE": 1,
+  "1": "STABLE",
+  "DYNAMIC": 2,
+  "2": "DYNAMIC",
+  "FORWARDED": 3,
+  "3": "FORWARDED"
+};
+const slotFlagsText = {
+  [1]: "STABLE",
+  [2]: "DYNAMIC",
+  [3]: "FORWARDED"
+};
+const GLOBALS_ALLOWED = "Infinity,undefined,NaN,isFinite,isNaN,parseFloat,parseInt,decodeURI,decodeURIComponent,encodeURI,encodeURIComponent,Math,Number,Date,Array,Object,Boolean,String,RegExp,Map,Set,JSON,Intl,BigInt,console,Error";
+const isGloballyAllowed = /* @__PURE__ */ makeMap(GLOBALS_ALLOWED);
+const isGloballyWhitelisted = isGloballyAllowed;
+const range = 2;
+function generateCodeFrame$1(source, start2 = 0, end = source.length) {
+  start2 = Math.max(0, Math.min(start2, source.length));
+  end = Math.max(0, Math.min(end, source.length));
+  if (start2 > end) return "";
+  let lines = source.split(/(\r?\n)/);
+  const newlineSequences = lines.filter((_2, idx) => idx % 2 === 1);
+  lines = lines.filter((_2, idx) => idx % 2 === 0);
+  let count = 0;
+  const res = [];
+  for (let i2 = 0; i2 < lines.length; i2++) {
+    count += lines[i2].length + (newlineSequences[i2] && newlineSequences[i2].length || 0);
+    if (count >= start2) {
+      for (let j = i2 - range; j <= i2 + range || end > count; j++) {
+        if (j < 0 || j >= lines.length) continue;
+        const line = j + 1;
+        res.push(
+          `${line}${" ".repeat(Math.max(3 - String(line).length, 0))}|  ${lines[j]}`
+        );
+        const lineLength = lines[j].length;
+        const newLineSeqLength = newlineSequences[j] && newlineSequences[j].length || 0;
+        if (j === i2) {
+          const pad = start2 - (count - (lineLength + newLineSeqLength));
+          const length = Math.max(
+            1,
+            end > count ? lineLength - pad : end - start2
+          );
+          res.push(`   |  ` + " ".repeat(pad) + "^".repeat(length));
+        } else if (j > i2) {
+          if (end > count) {
+            const length = Math.max(Math.min(end - count, lineLength), 1);
+            res.push(`   |  ` + "^".repeat(length));
+          }
+          count += lineLength + newLineSeqLength;
+        }
+      }
+      break;
+    }
+  }
+  return res.join("\n");
+}
+__name(generateCodeFrame$1, "generateCodeFrame$1");
+function normalizeStyle(value3) {
+  if (isArray$4(value3)) {
+    const res = {};
+    for (let i2 = 0; i2 < value3.length; i2++) {
+      const item2 = value3[i2];
+      const normalized = isString$5(item2) ? parseStringStyle(item2) : normalizeStyle(item2);
+      if (normalized) {
+        for (const key in normalized) {
+          res[key] = normalized[key];
+        }
+      }
+    }
+    return res;
+  } else if (isString$5(value3) || isObject$6(value3)) {
+    return value3;
+  }
+}
+__name(normalizeStyle, "normalizeStyle");
+const listDelimiterRE = /;(?![^(]*\))/g;
+const propertyDelimiterRE = /:([^]+)/;
+const styleCommentRE = /\/\*[^]*?\*\//g;
+function parseStringStyle(cssText) {
+  const ret = {};
+  cssText.replace(styleCommentRE, "").split(listDelimiterRE).forEach((item2) => {
+    if (item2) {
+      const tmp = item2.split(propertyDelimiterRE);
+      tmp.length > 1 && (ret[tmp[0].trim()] = tmp[1].trim());
+    }
+  });
+  return ret;
+}
+__name(parseStringStyle, "parseStringStyle");
+function stringifyStyle(styles) {
+  let ret = "";
+  if (!styles || isString$5(styles)) {
+    return ret;
+  }
+  for (const key in styles) {
+    const value3 = styles[key];
+    if (isString$5(value3) || typeof value3 === "number") {
+      const normalizedKey = key.startsWith(`--`) ? key : hyphenate$1(key);
+      ret += `${normalizedKey}:${value3};`;
+    }
+  }
+  return ret;
+}
+__name(stringifyStyle, "stringifyStyle");
+function normalizeClass(value3) {
+  let res = "";
+  if (isString$5(value3)) {
+    res = value3;
+  } else if (isArray$4(value3)) {
+    for (let i2 = 0; i2 < value3.length; i2++) {
+      const normalized = normalizeClass(value3[i2]);
+      if (normalized) {
+        res += normalized + " ";
+      }
+    }
+  } else if (isObject$6(value3)) {
+    for (const name in value3) {
+      if (value3[name]) {
+        res += name + " ";
+      }
+    }
+  }
+  return res.trim();
+}
+__name(normalizeClass, "normalizeClass");
+function normalizeProps(props) {
+  if (!props) return null;
+  let { class: klass, style } = props;
+  if (klass && !isString$5(klass)) {
+    props.class = normalizeClass(klass);
+  }
+  if (style) {
+    props.style = normalizeStyle(style);
+  }
+  return props;
+}
+__name(normalizeProps, "normalizeProps");
+const HTML_TAGS = "html,body,base,head,link,meta,style,title,address,article,aside,footer,header,hgroup,h1,h2,h3,h4,h5,h6,nav,section,div,dd,dl,dt,figcaption,figure,picture,hr,img,li,main,ol,p,pre,ul,a,b,abbr,bdi,bdo,br,cite,code,data,dfn,em,i,kbd,mark,q,rp,rt,ruby,s,samp,small,span,strong,sub,sup,time,u,var,wbr,area,audio,map,track,video,embed,object,param,source,canvas,script,noscript,del,ins,caption,col,colgroup,table,thead,tbody,td,th,tr,button,datalist,fieldset,form,input,label,legend,meter,optgroup,option,output,progress,select,textarea,details,dialog,menu,summary,template,blockquote,iframe,tfoot";
+const SVG_TAGS = "svg,animate,animateMotion,animateTransform,circle,clipPath,color-profile,defs,desc,discard,ellipse,feBlend,feColorMatrix,feComponentTransfer,feComposite,feConvolveMatrix,feDiffuseLighting,feDisplacementMap,feDistantLight,feDropShadow,feFlood,feFuncA,feFuncB,feFuncG,feFuncR,feGaussianBlur,feImage,feMerge,feMergeNode,feMorphology,feOffset,fePointLight,feSpecularLighting,feSpotLight,feTile,feTurbulence,filter,foreignObject,g,hatch,hatchpath,image,line,linearGradient,marker,mask,mesh,meshgradient,meshpatch,meshrow,metadata,mpath,path,pattern,polygon,polyline,radialGradient,rect,set,solidcolor,stop,switch,symbol,text,textPath,title,tspan,unknown,use,view";
+const MATH_TAGS = "annotation,annotation-xml,maction,maligngroup,malignmark,math,menclose,merror,mfenced,mfrac,mfraction,mglyph,mi,mlabeledtr,mlongdiv,mmultiscripts,mn,mo,mover,mpadded,mphantom,mprescripts,mroot,mrow,ms,mscarries,mscarry,msgroup,msline,mspace,msqrt,msrow,mstack,mstyle,msub,msubsup,msup,mtable,mtd,mtext,mtr,munder,munderover,none,semantics";
+const VOID_TAGS = "area,base,br,col,embed,hr,img,input,link,meta,param,source,track,wbr";
+const isHTMLTag = /* @__PURE__ */ makeMap(HTML_TAGS);
+const isSVGTag = /* @__PURE__ */ makeMap(SVG_TAGS);
+const isMathMLTag = /* @__PURE__ */ makeMap(MATH_TAGS);
+const isVoidTag = /* @__PURE__ */ makeMap(VOID_TAGS);
+const specialBooleanAttrs = `itemscope,allowfullscreen,formnovalidate,ismap,nomodule,novalidate,readonly`;
+const isSpecialBooleanAttr = /* @__PURE__ */ makeMap(specialBooleanAttrs);
+const isBooleanAttr = /* @__PURE__ */ makeMap(
+  specialBooleanAttrs + `,async,autofocus,autoplay,controls,default,defer,disabled,hidden,inert,loop,open,required,reversed,scoped,seamless,checked,muted,multiple,selected`
+);
+function includeBooleanAttr(value3) {
+  return !!value3 || value3 === "";
+}
+__name(includeBooleanAttr, "includeBooleanAttr");
+const unsafeAttrCharRE = /[>/="'\u0009\u000a\u000c\u0020]/;
+const attrValidationCache = {};
+function isSSRSafeAttrName(name) {
+  if (attrValidationCache.hasOwnProperty(name)) {
+    return attrValidationCache[name];
+  }
+  const isUnsafe = unsafeAttrCharRE.test(name);
+  if (isUnsafe) {
+    console.error(`unsafe attribute name: ${name}`);
+  }
+  return attrValidationCache[name] = !isUnsafe;
+}
+__name(isSSRSafeAttrName, "isSSRSafeAttrName");
+const propsToAttrMap = {
+  acceptCharset: "accept-charset",
+  className: "class",
+  htmlFor: "for",
+  httpEquiv: "http-equiv"
+};
+const isKnownHtmlAttr = /* @__PURE__ */ makeMap(
+  `accept,accept-charset,accesskey,action,align,allow,alt,async,autocapitalize,autocomplete,autofocus,autoplay,background,bgcolor,border,buffered,capture,challenge,charset,checked,cite,class,code,codebase,color,cols,colspan,content,contenteditable,contextmenu,controls,coords,crossorigin,csp,data,datetime,decoding,default,defer,dir,dirname,disabled,download,draggable,dropzone,enctype,enterkeyhint,for,form,formaction,formenctype,formmethod,formnovalidate,formtarget,headers,height,hidden,high,href,hreflang,http-equiv,icon,id,importance,inert,integrity,ismap,itemprop,keytype,kind,label,lang,language,loading,list,loop,low,manifest,max,maxlength,minlength,media,min,multiple,muted,name,novalidate,open,optimum,pattern,ping,placeholder,poster,preload,radiogroup,readonly,referrerpolicy,rel,required,reversed,rows,rowspan,sandbox,scope,scoped,selected,shape,size,sizes,slot,span,spellcheck,src,srcdoc,srclang,srcset,start,step,style,summary,tabindex,target,title,translate,type,usemap,value,width,wrap`
+);
+const isKnownSvgAttr = /* @__PURE__ */ makeMap(
+  `xmlns,accent-height,accumulate,additive,alignment-baseline,alphabetic,amplitude,arabic-form,ascent,attributeName,attributeType,azimuth,baseFrequency,baseline-shift,baseProfile,bbox,begin,bias,by,calcMode,cap-height,class,clip,clipPathUnits,clip-path,clip-rule,color,color-interpolation,color-interpolation-filters,color-profile,color-rendering,contentScriptType,contentStyleType,crossorigin,cursor,cx,cy,d,decelerate,descent,diffuseConstant,direction,display,divisor,dominant-baseline,dur,dx,dy,edgeMode,elevation,enable-background,end,exponent,fill,fill-opacity,fill-rule,filter,filterRes,filterUnits,flood-color,flood-opacity,font-family,font-size,font-size-adjust,font-stretch,font-style,font-variant,font-weight,format,from,fr,fx,fy,g1,g2,glyph-name,glyph-orientation-horizontal,glyph-orientation-vertical,glyphRef,gradientTransform,gradientUnits,hanging,height,href,hreflang,horiz-adv-x,horiz-origin-x,id,ideographic,image-rendering,in,in2,intercept,k,k1,k2,k3,k4,kernelMatrix,kernelUnitLength,kerning,keyPoints,keySplines,keyTimes,lang,lengthAdjust,letter-spacing,lighting-color,limitingConeAngle,local,marker-end,marker-mid,marker-start,markerHeight,markerUnits,markerWidth,mask,maskContentUnits,maskUnits,mathematical,max,media,method,min,mode,name,numOctaves,offset,opacity,operator,order,orient,orientation,origin,overflow,overline-position,overline-thickness,panose-1,paint-order,path,pathLength,patternContentUnits,patternTransform,patternUnits,ping,pointer-events,points,pointsAtX,pointsAtY,pointsAtZ,preserveAlpha,preserveAspectRatio,primitiveUnits,r,radius,referrerPolicy,refX,refY,rel,rendering-intent,repeatCount,repeatDur,requiredExtensions,requiredFeatures,restart,result,rotate,rx,ry,scale,seed,shape-rendering,slope,spacing,specularConstant,specularExponent,speed,spreadMethod,startOffset,stdDeviation,stemh,stemv,stitchTiles,stop-color,stop-opacity,strikethrough-position,strikethrough-thickness,string,stroke,stroke-dasharray,stroke-dashoffset,stroke-linecap,stroke-linejoin,stroke-miterlimit,stroke-opacity,stroke-width,style,surfaceScale,systemLanguage,tabindex,tableValues,target,targetX,targetY,text-anchor,text-decoration,text-rendering,textLength,to,transform,transform-origin,type,u1,u2,underline-position,underline-thickness,unicode,unicode-bidi,unicode-range,units-per-em,v-alphabetic,v-hanging,v-ideographic,v-mathematical,values,vector-effect,version,vert-adv-y,vert-origin-x,vert-origin-y,viewBox,viewTarget,visibility,width,widths,word-spacing,writing-mode,x,x-height,x1,x2,xChannelSelector,xlink:actuate,xlink:arcrole,xlink:href,xlink:role,xlink:show,xlink:title,xlink:type,xmlns:xlink,xml:base,xml:lang,xml:space,y,y1,y2,yChannelSelector,z,zoomAndPan`
+);
+function isRenderableAttrValue(value3) {
+  if (value3 == null) {
+    return false;
+  }
+  const type = typeof value3;
+  return type === "string" || type === "number" || type === "boolean";
+}
+__name(isRenderableAttrValue, "isRenderableAttrValue");
+const escapeRE = /["'&<>]/;
+function escapeHtml$1(string) {
+  const str = "" + string;
+  const match = escapeRE.exec(str);
+  if (!match) {
+    return str;
+  }
+  let html = "";
+  let escaped;
+  let index2;
+  let lastIndex = 0;
+  for (index2 = match.index; index2 < str.length; index2++) {
+    switch (str.charCodeAt(index2)) {
+      case 34:
+        escaped = "&quot;";
+        break;
+      case 38:
+        escaped = "&amp;";
+        break;
+      case 39:
+        escaped = "&#39;";
+        break;
+      case 60:
+        escaped = "&lt;";
+        break;
+      case 62:
+        escaped = "&gt;";
+        break;
+      default:
+        continue;
+    }
+    if (lastIndex !== index2) {
+      html += str.slice(lastIndex, index2);
+    }
+    lastIndex = index2 + 1;
+    html += escaped;
+  }
+  return lastIndex !== index2 ? html + str.slice(lastIndex, index2) : html;
+}
+__name(escapeHtml$1, "escapeHtml$1");
+const commentStripRE = /^-?>|<!--|-->|--!>|<!-$/g;
+function escapeHtmlComment(src) {
+  return src.replace(commentStripRE, "");
+}
+__name(escapeHtmlComment, "escapeHtmlComment");
+function looseCompareArrays(a, b) {
+  if (a.length !== b.length) return false;
+  let equal = true;
+  for (let i2 = 0; equal && i2 < a.length; i2++) {
+    equal = looseEqual(a[i2], b[i2]);
+  }
+  return equal;
+}
+__name(looseCompareArrays, "looseCompareArrays");
+function looseEqual(a, b) {
+  if (a === b) return true;
+  let aValidType = isDate$3(a);
+  let bValidType = isDate$3(b);
+  if (aValidType || bValidType) {
+    return aValidType && bValidType ? a.getTime() === b.getTime() : false;
+  }
+  aValidType = isSymbol$1(a);
+  bValidType = isSymbol$1(b);
+  if (aValidType || bValidType) {
+    return a === b;
+  }
+  aValidType = isArray$4(a);
+  bValidType = isArray$4(b);
+  if (aValidType || bValidType) {
+    return aValidType && bValidType ? looseCompareArrays(a, b) : false;
+  }
+  aValidType = isObject$6(a);
+  bValidType = isObject$6(b);
+  if (aValidType || bValidType) {
+    if (!aValidType || !bValidType) {
+      return false;
+    }
+    const aKeysCount = Object.keys(a).length;
+    const bKeysCount = Object.keys(b).length;
+    if (aKeysCount !== bKeysCount) {
+      return false;
+    }
+    for (const key in a) {
+      const aHasKey = a.hasOwnProperty(key);
+      const bHasKey = b.hasOwnProperty(key);
+      if (aHasKey && !bHasKey || !aHasKey && bHasKey || !looseEqual(a[key], b[key])) {
+        return false;
+      }
+    }
+  }
+  return String(a) === String(b);
+}
+__name(looseEqual, "looseEqual");
+function looseIndexOf(arr, val) {
+  return arr.findIndex((item2) => looseEqual(item2, val));
+}
+__name(looseIndexOf, "looseIndexOf");
+const isRef$1 = /* @__PURE__ */ __name((val) => {
+  return !!(val && val.__v_isRef === true);
+}, "isRef$1");
+const toDisplayString$1 = /* @__PURE__ */ __name((val) => {
+  return isString$5(val) ? val : val == null ? "" : isArray$4(val) || isObject$6(val) && (val.toString === objectToString$1 || !isFunction$4(val.toString)) ? isRef$1(val) ? toDisplayString$1(val.value) : JSON.stringify(val, replacer, 2) : String(val);
+}, "toDisplayString$1");
+const replacer = /* @__PURE__ */ __name((_key, val) => {
+  if (isRef$1(val)) {
+    return replacer(_key, val.value);
+  } else if (isMap(val)) {
+    return {
+      [`Map(${val.size})`]: [...val.entries()].reduce(
+        (entries, [key, val2], i2) => {
+          entries[stringifySymbol(key, i2) + " =>"] = val2;
+          return entries;
+        },
+        {}
+      )
+    };
+  } else if (isSet(val)) {
+    return {
+      [`Set(${val.size})`]: [...val.values()].map((v2) => stringifySymbol(v2))
+    };
+  } else if (isSymbol$1(val)) {
+    return stringifySymbol(val);
+  } else if (isObject$6(val) && !isArray$4(val) && !isPlainObject$3(val)) {
+    return String(val);
+  }
+  return val;
+}, "replacer");
+const stringifySymbol = /* @__PURE__ */ __name((v2, i2 = "") => {
+  var _a;
+  return (
+    // Symbol.description in es2019+ so we need to cast here to pass
+    // the lib: es2016 check
+    isSymbol$1(v2) ? `Symbol(${(_a = v2.description) != null ? _a : i2})` : v2
+  );
+}, "stringifySymbol");
+/**
+* @vue/reactivity v3.4.31
+* (c) 2018-present Yuxi (Evan) You and Vue contributors
+* @license MIT
+**/
+function warn$3(msg, ...args) {
+  console.warn(`[Vue warn] ${msg}`, ...args);
+}
+__name(warn$3, "warn$3");
+let activeEffectScope;
+class EffectScope {
+  static {
+    __name(this, "EffectScope");
+  }
+  constructor(detached = false) {
+    this.detached = detached;
+    this._active = true;
+    this.effects = [];
+    this.cleanups = [];
+    this.parent = activeEffectScope;
+    if (!detached && activeEffectScope) {
+      this.index = (activeEffectScope.scopes || (activeEffectScope.scopes = [])).push(
+        this
+      ) - 1;
+    }
+  }
+  get active() {
+    return this._active;
+  }
+  run(fn) {
+    if (this._active) {
+      const currentEffectScope = activeEffectScope;
+      try {
+        activeEffectScope = this;
+        return fn();
+      } finally {
+        activeEffectScope = currentEffectScope;
+      }
+    } else if (false) {
+      warn$3(`cannot run an inactive effect scope.`);
+    }
+  }
+  /**
+   * This should only be called on non-detached scopes
+   * @internal
+   */
+  on() {
+    activeEffectScope = this;
+  }
+  /**
+   * This should only be called on non-detached scopes
+   * @internal
+   */
+  off() {
+    activeEffectScope = this.parent;
+  }
+  stop(fromParent) {
+    if (this._active) {
+      let i2, l;
+      for (i2 = 0, l = this.effects.length; i2 < l; i2++) {
+        this.effects[i2].stop();
+      }
+      for (i2 = 0, l = this.cleanups.length; i2 < l; i2++) {
+        this.cleanups[i2]();
+      }
+      if (this.scopes) {
+        for (i2 = 0, l = this.scopes.length; i2 < l; i2++) {
+          this.scopes[i2].stop(true);
+        }
+      }
+      if (!this.detached && this.parent && !fromParent) {
+        const last = this.parent.scopes.pop();
+        if (last && last !== this) {
+          this.parent.scopes[this.index] = last;
+          last.index = this.index;
+        }
+      }
+      this.parent = void 0;
+      this._active = false;
+    }
+  }
+}
+function effectScope(detached) {
+  return new EffectScope(detached);
+}
+__name(effectScope, "effectScope");
+function recordEffectScope(effect2, scope = activeEffectScope) {
+  if (scope && scope.active) {
+    scope.effects.push(effect2);
+  }
+}
+__name(recordEffectScope, "recordEffectScope");
+function getCurrentScope() {
+  return activeEffectScope;
+}
+__name(getCurrentScope, "getCurrentScope");
+function onScopeDispose(fn) {
+  if (activeEffectScope) {
+    activeEffectScope.cleanups.push(fn);
+  } else if (false) {
+    warn$3(
+      `onScopeDispose() is called when there is no active effect scope to be associated with.`
+    );
+  }
+}
+__name(onScopeDispose, "onScopeDispose");
+let activeEffect;
+class ReactiveEffect {
+  static {
+    __name(this, "ReactiveEffect");
+  }
+  constructor(fn, trigger2, scheduler, scope) {
+    this.fn = fn;
+    this.trigger = trigger2;
+    this.scheduler = scheduler;
+    this.active = true;
+    this.deps = [];
+    this._dirtyLevel = 4;
+    this._trackId = 0;
+    this._runnings = 0;
+    this._shouldSchedule = false;
+    this._depsLength = 0;
+    recordEffectScope(this, scope);
+  }
+  get dirty() {
+    if (this._dirtyLevel === 2 || this._dirtyLevel === 3) {
+      this._dirtyLevel = 1;
+      pauseTracking();
+      for (let i2 = 0; i2 < this._depsLength; i2++) {
+        const dep = this.deps[i2];
+        if (dep.computed) {
+          triggerComputed(dep.computed);
+          if (this._dirtyLevel >= 4) {
+            break;
+          }
+        }
+      }
+      if (this._dirtyLevel === 1) {
+        this._dirtyLevel = 0;
+      }
+      resetTracking();
+    }
+    return this._dirtyLevel >= 4;
+  }
+  set dirty(v2) {
+    this._dirtyLevel = v2 ? 4 : 0;
+  }
+  run() {
+    this._dirtyLevel = 0;
+    if (!this.active) {
+      return this.fn();
+    }
+    let lastShouldTrack = shouldTrack;
+    let lastEffect = activeEffect;
+    try {
+      shouldTrack = true;
+      activeEffect = this;
+      this._runnings++;
+      preCleanupEffect(this);
+      return this.fn();
+    } finally {
+      postCleanupEffect(this);
+      this._runnings--;
+      activeEffect = lastEffect;
+      shouldTrack = lastShouldTrack;
+    }
+  }
+  stop() {
+    if (this.active) {
+      preCleanupEffect(this);
+      postCleanupEffect(this);
+      this.onStop && this.onStop();
+      this.active = false;
+    }
+  }
+}
+function triggerComputed(computed2) {
+  return computed2.value;
+}
+__name(triggerComputed, "triggerComputed");
+function preCleanupEffect(effect2) {
+  effect2._trackId++;
+  effect2._depsLength = 0;
+}
+__name(preCleanupEffect, "preCleanupEffect");
+function postCleanupEffect(effect2) {
+  if (effect2.deps.length > effect2._depsLength) {
+    for (let i2 = effect2._depsLength; i2 < effect2.deps.length; i2++) {
+      cleanupDepEffect(effect2.deps[i2], effect2);
+    }
+    effect2.deps.length = effect2._depsLength;
+  }
+}
+__name(postCleanupEffect, "postCleanupEffect");
+function cleanupDepEffect(dep, effect2) {
+  const trackId = dep.get(effect2);
+  if (trackId !== void 0 && effect2._trackId !== trackId) {
+    dep.delete(effect2);
+    if (dep.size === 0) {
+      dep.cleanup();
+    }
+  }
+}
+__name(cleanupDepEffect, "cleanupDepEffect");
+function effect(fn, options3) {
+  if (fn.effect instanceof ReactiveEffect) {
+    fn = fn.effect.fn;
+  }
+  const _effect = new ReactiveEffect(fn, NOOP, () => {
+    if (_effect.dirty) {
+      _effect.run();
+    }
+  });
+  if (options3) {
+    extend$1(_effect, options3);
+    if (options3.scope) recordEffectScope(_effect, options3.scope);
+  }
+  if (!options3 || !options3.lazy) {
+    _effect.run();
+  }
+  const runner = _effect.run.bind(_effect);
+  runner.effect = _effect;
+  return runner;
+}
+__name(effect, "effect");
+function stop(runner) {
+  runner.effect.stop();
+}
+__name(stop, "stop");
+let shouldTrack = true;
+let pauseScheduleStack = 0;
+const trackStack = [];
+function pauseTracking() {
+  trackStack.push(shouldTrack);
+  shouldTrack = false;
+}
+__name(pauseTracking, "pauseTracking");
+function enableTracking() {
+  trackStack.push(shouldTrack);
+  shouldTrack = true;
+}
+__name(enableTracking, "enableTracking");
+function resetTracking() {
+  const last = trackStack.pop();
+  shouldTrack = last === void 0 ? true : last;
+}
+__name(resetTracking, "resetTracking");
+function pauseScheduling() {
+  pauseScheduleStack++;
+}
+__name(pauseScheduling, "pauseScheduling");
+function resetScheduling() {
+  pauseScheduleStack--;
+  while (!pauseScheduleStack && queueEffectSchedulers.length) {
+    queueEffectSchedulers.shift()();
+  }
+}
+__name(resetScheduling, "resetScheduling");
+function trackEffect(effect2, dep, debuggerEventExtraInfo) {
+  var _a;
+  if (dep.get(effect2) !== effect2._trackId) {
+    dep.set(effect2, effect2._trackId);
+    const oldDep = effect2.deps[effect2._depsLength];
+    if (oldDep !== dep) {
+      if (oldDep) {
+        cleanupDepEffect(oldDep, effect2);
+      }
+      effect2.deps[effect2._depsLength++] = dep;
+    } else {
+      effect2._depsLength++;
+    }
+    if (false) {
+      (_a = effect2.onTrack) == null ? void 0 : _a.call(effect2, extend$1({ effect: effect2 }, debuggerEventExtraInfo));
+    }
+  }
+}
+__name(trackEffect, "trackEffect");
+const queueEffectSchedulers = [];
+function triggerEffects(dep, dirtyLevel, debuggerEventExtraInfo) {
+  var _a;
+  pauseScheduling();
+  for (const effect2 of dep.keys()) {
+    let tracking;
+    if (effect2._dirtyLevel < dirtyLevel && (tracking != null ? tracking : tracking = dep.get(effect2) === effect2._trackId)) {
+      effect2._shouldSchedule || (effect2._shouldSchedule = effect2._dirtyLevel === 0);
+      effect2._dirtyLevel = dirtyLevel;
+    }
+    if (effect2._shouldSchedule && (tracking != null ? tracking : tracking = dep.get(effect2) === effect2._trackId)) {
+      if (false) {
+        (_a = effect2.onTrigger) == null ? void 0 : _a.call(effect2, extend$1({ effect: effect2 }, debuggerEventExtraInfo));
+      }
+      effect2.trigger();
+      if ((!effect2._runnings || effect2.allowRecurse) && effect2._dirtyLevel !== 2) {
+        effect2._shouldSchedule = false;
+        if (effect2.scheduler) {
+          queueEffectSchedulers.push(effect2.scheduler);
+        }
+      }
+    }
+  }
+  resetScheduling();
+}
+__name(triggerEffects, "triggerEffects");
+const createDep = /* @__PURE__ */ __name((cleanup, computed2) => {
+  const dep = /* @__PURE__ */ new Map();
+  dep.cleanup = cleanup;
+  dep.computed = computed2;
+  return dep;
+}, "createDep");
+const targetMap = /* @__PURE__ */ new WeakMap();
+const ITERATE_KEY = Symbol(false ? "iterate" : "");
+const MAP_KEY_ITERATE_KEY = Symbol(false ? "Map key iterate" : "");
+function track(target, type, key) {
+  if (shouldTrack && activeEffect) {
+    let depsMap = targetMap.get(target);
+    if (!depsMap) {
+      targetMap.set(target, depsMap = /* @__PURE__ */ new Map());
+    }
+    let dep = depsMap.get(key);
+    if (!dep) {
+      depsMap.set(key, dep = createDep(() => depsMap.delete(key)));
+    }
+    trackEffect(
+      activeEffect,
+      dep,
+      false ? {
+        target,
+        type,
+        key
+      } : void 0
+    );
+  }
+}
+__name(track, "track");
+function trigger(target, type, key, newValue, oldValue, oldTarget) {
+  const depsMap = targetMap.get(target);
+  if (!depsMap) {
+    return;
+  }
+  let deps = [];
+  if (type === "clear") {
+    deps = [...depsMap.values()];
+  } else if (key === "length" && isArray$4(target)) {
+    const newLength = Number(newValue);
+    depsMap.forEach((dep, key2) => {
+      if (key2 === "length" || !isSymbol$1(key2) && key2 >= newLength) {
+        deps.push(dep);
+      }
+    });
+  } else {
+    if (key !== void 0) {
+      deps.push(depsMap.get(key));
+    }
+    switch (type) {
+      case "add":
+        if (!isArray$4(target)) {
+          deps.push(depsMap.get(ITERATE_KEY));
+          if (isMap(target)) {
+            deps.push(depsMap.get(MAP_KEY_ITERATE_KEY));
+          }
+        } else if (isIntegerKey(key)) {
+          deps.push(depsMap.get("length"));
+        }
+        break;
+      case "delete":
+        if (!isArray$4(target)) {
+          deps.push(depsMap.get(ITERATE_KEY));
+          if (isMap(target)) {
+            deps.push(depsMap.get(MAP_KEY_ITERATE_KEY));
+          }
+        }
+        break;
+      case "set":
+        if (isMap(target)) {
+          deps.push(depsMap.get(ITERATE_KEY));
+        }
+        break;
+    }
+  }
+  pauseScheduling();
+  for (const dep of deps) {
+    if (dep) {
+      triggerEffects(
+        dep,
+        4,
+        false ? {
+          target,
+          type,
+          key,
+          newValue,
+          oldValue,
+          oldTarget
+        } : void 0
+      );
+    }
+  }
+  resetScheduling();
+}
+__name(trigger, "trigger");
+function getDepFromReactive(object, key) {
+  const depsMap = targetMap.get(object);
+  return depsMap && depsMap.get(key);
+}
+__name(getDepFromReactive, "getDepFromReactive");
+const isNonTrackableKeys = /* @__PURE__ */ makeMap(`__proto__,__v_isRef,__isVue`);
+const builtInSymbols = new Set(
+  /* @__PURE__ */ Object.getOwnPropertyNames(Symbol).filter((key) => key !== "arguments" && key !== "caller").map((key) => Symbol[key]).filter(isSymbol$1)
+);
+const arrayInstrumentations = /* @__PURE__ */ createArrayInstrumentations();
+function createArrayInstrumentations() {
+  const instrumentations = {};
+  ["includes", "indexOf", "lastIndexOf"].forEach((key) => {
+    instrumentations[key] = function(...args) {
+      const arr = toRaw(this);
+      for (let i2 = 0, l = this.length; i2 < l; i2++) {
+        track(arr, "get", i2 + "");
+      }
+      const res = arr[key](...args);
+      if (res === -1 || res === false) {
+        return arr[key](...args.map(toRaw));
+      } else {
+        return res;
+      }
+    };
+  });
+  ["push", "pop", "shift", "unshift", "splice"].forEach((key) => {
+    instrumentations[key] = function(...args) {
+      pauseTracking();
+      pauseScheduling();
+      const res = toRaw(this)[key].apply(this, args);
+      resetScheduling();
+      resetTracking();
+      return res;
+    };
+  });
+  return instrumentations;
+}
+__name(createArrayInstrumentations, "createArrayInstrumentations");
+function hasOwnProperty$2(key) {
+  if (!isSymbol$1(key)) key = String(key);
+  const obj = toRaw(this);
+  track(obj, "has", key);
+  return obj.hasOwnProperty(key);
+}
+__name(hasOwnProperty$2, "hasOwnProperty$2");
+class BaseReactiveHandler {
+  static {
+    __name(this, "BaseReactiveHandler");
+  }
+  constructor(_isReadonly = false, _isShallow = false) {
+    this._isReadonly = _isReadonly;
+    this._isShallow = _isShallow;
+  }
+  get(target, key, receiver) {
+    const isReadonly2 = this._isReadonly, isShallow2 = this._isShallow;
+    if (key === "__v_isReactive") {
+      return !isReadonly2;
+    } else if (key === "__v_isReadonly") {
+      return isReadonly2;
+    } else if (key === "__v_isShallow") {
+      return isShallow2;
+    } else if (key === "__v_raw") {
+      if (receiver === (isReadonly2 ? isShallow2 ? shallowReadonlyMap : readonlyMap : isShallow2 ? shallowReactiveMap : reactiveMap).get(target) || // receiver is not the reactive proxy, but has the same prototype
+      // this means the reciever is a user proxy of the reactive proxy
+      Object.getPrototypeOf(target) === Object.getPrototypeOf(receiver)) {
+        return target;
+      }
+      return;
+    }
+    const targetIsArray = isArray$4(target);
+    if (!isReadonly2) {
+      if (targetIsArray && hasOwn$3(arrayInstrumentations, key)) {
+        return Reflect.get(arrayInstrumentations, key, receiver);
+      }
+      if (key === "hasOwnProperty") {
+        return hasOwnProperty$2;
+      }
+    }
+    const res = Reflect.get(target, key, receiver);
+    if (isSymbol$1(key) ? builtInSymbols.has(key) : isNonTrackableKeys(key)) {
+      return res;
+    }
+    if (!isReadonly2) {
+      track(target, "get", key);
+    }
+    if (isShallow2) {
+      return res;
+    }
+    if (isRef(res)) {
+      return targetIsArray && isIntegerKey(key) ? res : res.value;
+    }
+    if (isObject$6(res)) {
+      return isReadonly2 ? readonly(res) : reactive(res);
+    }
+    return res;
+  }
+}
+class MutableReactiveHandler extends BaseReactiveHandler {
+  static {
+    __name(this, "MutableReactiveHandler");
+  }
+  constructor(isShallow2 = false) {
+    super(false, isShallow2);
+  }
+  set(target, key, value3, receiver) {
+    let oldValue = target[key];
+    if (!this._isShallow) {
+      const isOldValueReadonly = isReadonly(oldValue);
+      if (!isShallow(value3) && !isReadonly(value3)) {
+        oldValue = toRaw(oldValue);
+        value3 = toRaw(value3);
+      }
+      if (!isArray$4(target) && isRef(oldValue) && !isRef(value3)) {
+        if (isOldValueReadonly) {
+          return false;
+        } else {
+          oldValue.value = value3;
+          return true;
+        }
+      }
+    }
+    const hadKey = isArray$4(target) && isIntegerKey(key) ? Number(key) < target.length : hasOwn$3(target, key);
+    const result = Reflect.set(target, key, value3, receiver);
+    if (target === toRaw(receiver)) {
+      if (!hadKey) {
+        trigger(target, "add", key, value3);
+      } else if (hasChanged(value3, oldValue)) {
+        trigger(target, "set", key, value3, oldValue);
+      }
+    }
+    return result;
+  }
+  deleteProperty(target, key) {
+    const hadKey = hasOwn$3(target, key);
+    const oldValue = target[key];
+    const result = Reflect.deleteProperty(target, key);
+    if (result && hadKey) {
+      trigger(target, "delete", key, void 0, oldValue);
+    }
+    return result;
+  }
+  has(target, key) {
+    const result = Reflect.has(target, key);
+    if (!isSymbol$1(key) || !builtInSymbols.has(key)) {
+      track(target, "has", key);
+    }
+    return result;
+  }
+  ownKeys(target) {
+    track(
+      target,
+      "iterate",
+      isArray$4(target) ? "length" : ITERATE_KEY
+    );
+    return Reflect.ownKeys(target);
+  }
+}
+class ReadonlyReactiveHandler extends BaseReactiveHandler {
+  static {
+    __name(this, "ReadonlyReactiveHandler");
+  }
+  constructor(isShallow2 = false) {
+    super(true, isShallow2);
+  }
+  set(target, key) {
+    if (false) {
+      warn$3(
+        `Set operation on key "${String(key)}" failed: target is readonly.`,
+        target
+      );
+    }
+    return true;
+  }
+  deleteProperty(target, key) {
+    if (false) {
+      warn$3(
+        `Delete operation on key "${String(key)}" failed: target is readonly.`,
+        target
+      );
+    }
+    return true;
+  }
+}
+const mutableHandlers = /* @__PURE__ */ new MutableReactiveHandler();
+const readonlyHandlers = /* @__PURE__ */ new ReadonlyReactiveHandler();
+const shallowReactiveHandlers = /* @__PURE__ */ new MutableReactiveHandler(
+  true
+);
+const shallowReadonlyHandlers = /* @__PURE__ */ new ReadonlyReactiveHandler(true);
+const toShallow = /* @__PURE__ */ __name((value3) => value3, "toShallow");
+const getProto = /* @__PURE__ */ __name((v2) => Reflect.getPrototypeOf(v2), "getProto");
+function get$2(target, key, isReadonly2 = false, isShallow2 = false) {
+  target = target["__v_raw"];
+  const rawTarget = toRaw(target);
+  const rawKey = toRaw(key);
+  if (!isReadonly2) {
+    if (hasChanged(key, rawKey)) {
+      track(rawTarget, "get", key);
+    }
+    track(rawTarget, "get", rawKey);
+  }
+  const { has: has2 } = getProto(rawTarget);
+  const wrap = isShallow2 ? toShallow : isReadonly2 ? toReadonly : toReactive$1;
+  if (has2.call(rawTarget, key)) {
+    return wrap(target.get(key));
+  } else if (has2.call(rawTarget, rawKey)) {
+    return wrap(target.get(rawKey));
+  } else if (target !== rawTarget) {
+    target.get(key);
+  }
+}
+__name(get$2, "get$2");
+function has(key, isReadonly2 = false) {
+  const target = this["__v_raw"];
+  const rawTarget = toRaw(target);
+  const rawKey = toRaw(key);
+  if (!isReadonly2) {
+    if (hasChanged(key, rawKey)) {
+      track(rawTarget, "has", key);
+    }
+    track(rawTarget, "has", rawKey);
+  }
+  return key === rawKey ? target.has(key) : target.has(key) || target.has(rawKey);
+}
+__name(has, "has");
+function size(target, isReadonly2 = false) {
+  target = target["__v_raw"];
+  !isReadonly2 && track(toRaw(target), "iterate", ITERATE_KEY);
+  return Reflect.get(target, "size", target);
+}
+__name(size, "size");
+function add(value3) {
+  value3 = toRaw(value3);
+  const target = toRaw(this);
+  const proto = getProto(target);
+  const hadKey = proto.has.call(target, value3);
+  if (!hadKey) {
+    target.add(value3);
+    trigger(target, "add", value3, value3);
+  }
+  return this;
+}
+__name(add, "add");
+function set$4(key, value3) {
+  value3 = toRaw(value3);
+  const target = toRaw(this);
+  const { has: has2, get: get2 } = getProto(target);
+  let hadKey = has2.call(target, key);
+  if (!hadKey) {
+    key = toRaw(key);
+    hadKey = has2.call(target, key);
+  } else if (false) {
+    checkIdentityKeys(target, has2, key);
+  }
+  const oldValue = get2.call(target, key);
+  target.set(key, value3);
+  if (!hadKey) {
+    trigger(target, "add", key, value3);
+  } else if (hasChanged(value3, oldValue)) {
+    trigger(target, "set", key, value3, oldValue);
+  }
+  return this;
+}
+__name(set$4, "set$4");
+function deleteEntry(key) {
+  const target = toRaw(this);
+  const { has: has2, get: get2 } = getProto(target);
+  let hadKey = has2.call(target, key);
+  if (!hadKey) {
+    key = toRaw(key);
+    hadKey = has2.call(target, key);
+  } else if (false) {
+    checkIdentityKeys(target, has2, key);
+  }
+  const oldValue = get2 ? get2.call(target, key) : void 0;
+  const result = target.delete(key);
+  if (hadKey) {
+    trigger(target, "delete", key, void 0, oldValue);
+  }
+  return result;
+}
+__name(deleteEntry, "deleteEntry");
+function clear() {
+  const target = toRaw(this);
+  const hadItems = target.size !== 0;
+  const oldTarget = false ? isMap(target) ? new Map(target) : new Set(target) : void 0;
+  const result = target.clear();
+  if (hadItems) {
+    trigger(target, "clear", void 0, void 0, oldTarget);
+  }
+  return result;
+}
+__name(clear, "clear");
+function createForEach(isReadonly2, isShallow2) {
+  return /* @__PURE__ */ __name(function forEach2(callback, thisArg) {
+    const observed = this;
+    const target = observed["__v_raw"];
+    const rawTarget = toRaw(target);
+    const wrap = isShallow2 ? toShallow : isReadonly2 ? toReadonly : toReactive$1;
+    !isReadonly2 && track(rawTarget, "iterate", ITERATE_KEY);
+    return target.forEach((value3, key) => {
+      return callback.call(thisArg, wrap(value3), wrap(key), observed);
+    });
+  }, "forEach");
+}
+__name(createForEach, "createForEach");
+function createIterableMethod(method, isReadonly2, isShallow2) {
+  return function(...args) {
+    const target = this["__v_raw"];
+    const rawTarget = toRaw(target);
+    const targetIsMap = isMap(rawTarget);
+    const isPair = method === "entries" || method === Symbol.iterator && targetIsMap;
+    const isKeyOnly = method === "keys" && targetIsMap;
+    const innerIterator = target[method](...args);
+    const wrap = isShallow2 ? toShallow : isReadonly2 ? toReadonly : toReactive$1;
+    !isReadonly2 && track(
+      rawTarget,
+      "iterate",
+      isKeyOnly ? MAP_KEY_ITERATE_KEY : ITERATE_KEY
+    );
+    return {
+      // iterator protocol
+      next() {
+        const { value: value3, done } = innerIterator.next();
+        return done ? { value: value3, done } : {
+          value: isPair ? [wrap(value3[0]), wrap(value3[1])] : wrap(value3),
+          done
+        };
+      },
+      // iterable protocol
+      [Symbol.iterator]() {
+        return this;
+      }
+    };
+  };
+}
+__name(createIterableMethod, "createIterableMethod");
+function createReadonlyMethod(type) {
+  return function(...args) {
+    if (false) {
+      const key = args[0] ? `on key "${args[0]}" ` : ``;
+      warn$3(
+        `${capitalize$1(type)} operation ${key}failed: target is readonly.`,
+        toRaw(this)
+      );
+    }
+    return type === "delete" ? false : type === "clear" ? void 0 : this;
+  };
+}
+__name(createReadonlyMethod, "createReadonlyMethod");
+function createInstrumentations() {
+  const mutableInstrumentations2 = {
+    get(key) {
+      return get$2(this, key);
+    },
+    get size() {
+      return size(this);
+    },
+    has,
+    add,
+    set: set$4,
+    delete: deleteEntry,
+    clear,
+    forEach: createForEach(false, false)
+  };
+  const shallowInstrumentations2 = {
+    get(key) {
+      return get$2(this, key, false, true);
+    },
+    get size() {
+      return size(this);
+    },
+    has,
+    add,
+    set: set$4,
+    delete: deleteEntry,
+    clear,
+    forEach: createForEach(false, true)
+  };
+  const readonlyInstrumentations2 = {
+    get(key) {
+      return get$2(this, key, true);
+    },
+    get size() {
+      return size(this, true);
+    },
+    has(key) {
+      return has.call(this, key, true);
+    },
+    add: createReadonlyMethod("add"),
+    set: createReadonlyMethod("set"),
+    delete: createReadonlyMethod("delete"),
+    clear: createReadonlyMethod("clear"),
+    forEach: createForEach(true, false)
+  };
+  const shallowReadonlyInstrumentations2 = {
+    get(key) {
+      return get$2(this, key, true, true);
+    },
+    get size() {
+      return size(this, true);
+    },
+    has(key) {
+      return has.call(this, key, true);
+    },
+    add: createReadonlyMethod("add"),
+    set: createReadonlyMethod("set"),
+    delete: createReadonlyMethod("delete"),
+    clear: createReadonlyMethod("clear"),
+    forEach: createForEach(true, true)
+  };
+  const iteratorMethods = [
+    "keys",
+    "values",
+    "entries",
+    Symbol.iterator
+  ];
+  iteratorMethods.forEach((method) => {
+    mutableInstrumentations2[method] = createIterableMethod(method, false, false);
+    readonlyInstrumentations2[method] = createIterableMethod(method, true, false);
+    shallowInstrumentations2[method] = createIterableMethod(method, false, true);
+    shallowReadonlyInstrumentations2[method] = createIterableMethod(
+      method,
+      true,
+      true
+    );
+  });
+  return [
+    mutableInstrumentations2,
+    readonlyInstrumentations2,
+    shallowInstrumentations2,
+    shallowReadonlyInstrumentations2
+  ];
+}
+__name(createInstrumentations, "createInstrumentations");
+const [
+  mutableInstrumentations,
+  readonlyInstrumentations,
+  shallowInstrumentations,
+  shallowReadonlyInstrumentations
+] = /* @__PURE__ */ createInstrumentations();
+function createInstrumentationGetter(isReadonly2, shallow) {
+  const instrumentations = shallow ? isReadonly2 ? shallowReadonlyInstrumentations : shallowInstrumentations : isReadonly2 ? readonlyInstrumentations : mutableInstrumentations;
+  return (target, key, receiver) => {
+    if (key === "__v_isReactive") {
+      return !isReadonly2;
+    } else if (key === "__v_isReadonly") {
+      return isReadonly2;
+    } else if (key === "__v_raw") {
+      return target;
+    }
+    return Reflect.get(
+      hasOwn$3(instrumentations, key) && key in target ? instrumentations : target,
+      key,
+      receiver
+    );
+  };
+}
+__name(createInstrumentationGetter, "createInstrumentationGetter");
+const mutableCollectionHandlers = {
+  get: /* @__PURE__ */ createInstrumentationGetter(false, false)
+};
+const shallowCollectionHandlers = {
+  get: /* @__PURE__ */ createInstrumentationGetter(false, true)
+};
+const readonlyCollectionHandlers = {
+  get: /* @__PURE__ */ createInstrumentationGetter(true, false)
+};
+const shallowReadonlyCollectionHandlers = {
+  get: /* @__PURE__ */ createInstrumentationGetter(true, true)
+};
+function checkIdentityKeys(target, has2, key) {
+  const rawKey = toRaw(key);
+  if (rawKey !== key && has2.call(target, rawKey)) {
+    const type = toRawType(target);
+    warn$3(
+      `Reactive ${type} contains both the raw and reactive versions of the same object${type === `Map` ? ` as keys` : ``}, which can lead to inconsistencies. Avoid differentiating between the raw and reactive versions of an object and only use the reactive version if possible.`
+    );
+  }
+}
+__name(checkIdentityKeys, "checkIdentityKeys");
+const reactiveMap = /* @__PURE__ */ new WeakMap();
+const shallowReactiveMap = /* @__PURE__ */ new WeakMap();
+const readonlyMap = /* @__PURE__ */ new WeakMap();
+const shallowReadonlyMap = /* @__PURE__ */ new WeakMap();
+function targetTypeMap(rawType) {
+  switch (rawType) {
+    case "Object":
+    case "Array":
+      return 1;
+    case "Map":
+    case "Set":
+    case "WeakMap":
+    case "WeakSet":
+      return 2;
+    default:
+      return 0;
+  }
+}
+__name(targetTypeMap, "targetTypeMap");
+function getTargetType(value3) {
+  return value3["__v_skip"] || !Object.isExtensible(value3) ? 0 : targetTypeMap(toRawType(value3));
+}
+__name(getTargetType, "getTargetType");
+function reactive(target) {
+  if (isReadonly(target)) {
+    return target;
+  }
+  return createReactiveObject(
+    target,
+    false,
+    mutableHandlers,
+    mutableCollectionHandlers,
+    reactiveMap
+  );
+}
+__name(reactive, "reactive");
+function shallowReactive(target) {
+  return createReactiveObject(
+    target,
+    false,
+    shallowReactiveHandlers,
+    shallowCollectionHandlers,
+    shallowReactiveMap
+  );
+}
+__name(shallowReactive, "shallowReactive");
+function readonly(target) {
+  return createReactiveObject(
+    target,
+    true,
+    readonlyHandlers,
+    readonlyCollectionHandlers,
+    readonlyMap
+  );
+}
+__name(readonly, "readonly");
+function shallowReadonly(target) {
+  return createReactiveObject(
+    target,
+    true,
+    shallowReadonlyHandlers,
+    shallowReadonlyCollectionHandlers,
+    shallowReadonlyMap
+  );
+}
+__name(shallowReadonly, "shallowReadonly");
+function createReactiveObject(target, isReadonly2, baseHandlers, collectionHandlers, proxyMap) {
+  if (!isObject$6(target)) {
+    if (false) {
+      warn$3(
+        `value cannot be made ${isReadonly2 ? "readonly" : "reactive"}: ${String(
+          target
+        )}`
+      );
+    }
+    return target;
+  }
+  if (target["__v_raw"] && !(isReadonly2 && target["__v_isReactive"])) {
+    return target;
+  }
+  const existingProxy = proxyMap.get(target);
+  if (existingProxy) {
+    return existingProxy;
+  }
+  const targetType = getTargetType(target);
+  if (targetType === 0) {
+    return target;
+  }
+  const proxy = new Proxy(
+    target,
+    targetType === 2 ? collectionHandlers : baseHandlers
+  );
+  proxyMap.set(target, proxy);
+  return proxy;
+}
+__name(createReactiveObject, "createReactiveObject");
+function isReactive(value3) {
+  if (isReadonly(value3)) {
+    return isReactive(value3["__v_raw"]);
+  }
+  return !!(value3 && value3["__v_isReactive"]);
+}
+__name(isReactive, "isReactive");
+function isReadonly(value3) {
+  return !!(value3 && value3["__v_isReadonly"]);
+}
+__name(isReadonly, "isReadonly");
+function isShallow(value3) {
+  return !!(value3 && value3["__v_isShallow"]);
+}
+__name(isShallow, "isShallow");
+function isProxy(value3) {
+  return value3 ? !!value3["__v_raw"] : false;
+}
+__name(isProxy, "isProxy");
+function toRaw(observed) {
+  const raw = observed && observed["__v_raw"];
+  return raw ? toRaw(raw) : observed;
+}
+__name(toRaw, "toRaw");
+function markRaw(value3) {
+  if (Object.isExtensible(value3)) {
+    def(value3, "__v_skip", true);
+  }
+  return value3;
+}
+__name(markRaw, "markRaw");
+const toReactive$1 = /* @__PURE__ */ __name((value3) => isObject$6(value3) ? reactive(value3) : value3, "toReactive$1");
+const toReadonly = /* @__PURE__ */ __name((value3) => isObject$6(value3) ? readonly(value3) : value3, "toReadonly");
+const COMPUTED_SIDE_EFFECT_WARN = `Computed is still dirty after getter evaluation, likely because a computed is mutating its own dependency in its getter. State mutations in computed getters should be avoided.  Check the docs for more details: https://vuejs.org/guide/essentials/computed.html#getters-should-be-side-effect-free`;
+class ComputedRefImpl {
+  static {
+    __name(this, "ComputedRefImpl");
+  }
+  constructor(getter, _setter, isReadonly2, isSSR) {
+    this.getter = getter;
+    this._setter = _setter;
+    this.dep = void 0;
+    this.__v_isRef = true;
+    this["__v_isReadonly"] = false;
+    this.effect = new ReactiveEffect(
+      () => getter(this._value),
+      () => triggerRefValue(
+        this,
+        this.effect._dirtyLevel === 2 ? 2 : 3
+      )
+    );
+    this.effect.computed = this;
+    this.effect.active = this._cacheable = !isSSR;
+    this["__v_isReadonly"] = isReadonly2;
+  }
+  get value() {
+    const self2 = toRaw(this);
+    if ((!self2._cacheable || self2.effect.dirty) && hasChanged(self2._value, self2._value = self2.effect.run())) {
+      triggerRefValue(self2, 4);
+    }
+    trackRefValue(self2);
+    if (self2.effect._dirtyLevel >= 2) {
+      if (false) {
+        warn$3(COMPUTED_SIDE_EFFECT_WARN, `
+
+getter: `, this.getter);
+      }
+      triggerRefValue(self2, 2);
+    }
+    return self2._value;
+  }
+  set value(newValue) {
+    this._setter(newValue);
+  }
+  // #region polyfill _dirty for backward compatibility third party code for Vue <= 3.3.x
+  get _dirty() {
+    return this.effect.dirty;
+  }
+  set _dirty(v2) {
+    this.effect.dirty = v2;
+  }
+  // #endregion
+}
+function computed$1(getterOrOptions, debugOptions, isSSR = false) {
+  let getter;
+  let setter;
+  const onlyGetter = isFunction$4(getterOrOptions);
+  if (onlyGetter) {
+    getter = getterOrOptions;
+    setter = false ? () => {
+      warn$3("Write operation failed: computed value is readonly");
+    } : NOOP;
+  } else {
+    getter = getterOrOptions.get;
+    setter = getterOrOptions.set;
+  }
+  const cRef = new ComputedRefImpl(getter, setter, onlyGetter || !setter, isSSR);
+  if (false) {
+    cRef.effect.onTrack = debugOptions.onTrack;
+    cRef.effect.onTrigger = debugOptions.onTrigger;
+  }
+  return cRef;
+}
+__name(computed$1, "computed$1");
+function trackRefValue(ref2) {
+  var _a;
+  if (shouldTrack && activeEffect) {
+    ref2 = toRaw(ref2);
+    trackEffect(
+      activeEffect,
+      (_a = ref2.dep) != null ? _a : ref2.dep = createDep(
+        () => ref2.dep = void 0,
+        ref2 instanceof ComputedRefImpl ? ref2 : void 0
+      ),
+      false ? {
+        target: ref2,
+        type: "get",
+        key: "value"
+      } : void 0
+    );
+  }
+}
+__name(trackRefValue, "trackRefValue");
+function triggerRefValue(ref2, dirtyLevel = 4, newVal, oldVal) {
+  ref2 = toRaw(ref2);
+  const dep = ref2.dep;
+  if (dep) {
+    triggerEffects(
+      dep,
+      dirtyLevel,
+      false ? {
+        target: ref2,
+        type: "set",
+        key: "value",
+        newValue: newVal,
+        oldValue: oldVal
+      } : void 0
+    );
+  }
+}
+__name(triggerRefValue, "triggerRefValue");
+function isRef(r) {
+  return !!(r && r.__v_isRef === true);
+}
+__name(isRef, "isRef");
+function ref(value3) {
+  return createRef(value3, false);
+}
+__name(ref, "ref");
+function shallowRef(value3) {
+  return createRef(value3, true);
+}
+__name(shallowRef, "shallowRef");
+function createRef(rawValue, shallow) {
+  if (isRef(rawValue)) {
+    return rawValue;
+  }
+  return new RefImpl(rawValue, shallow);
+}
+__name(createRef, "createRef");
+class RefImpl {
+  static {
+    __name(this, "RefImpl");
+  }
+  constructor(value3, __v_isShallow) {
+    this.__v_isShallow = __v_isShallow;
+    this.dep = void 0;
+    this.__v_isRef = true;
+    this._rawValue = __v_isShallow ? value3 : toRaw(value3);
+    this._value = __v_isShallow ? value3 : toReactive$1(value3);
+  }
+  get value() {
+    trackRefValue(this);
+    return this._value;
+  }
+  set value(newVal) {
+    const useDirectValue = this.__v_isShallow || isShallow(newVal) || isReadonly(newVal);
+    newVal = useDirectValue ? newVal : toRaw(newVal);
+    if (hasChanged(newVal, this._rawValue)) {
+      const oldVal = this._rawValue;
+      this._rawValue = newVal;
+      this._value = useDirectValue ? newVal : toReactive$1(newVal);
+      triggerRefValue(this, 4, newVal, oldVal);
+    }
+  }
+}
+function triggerRef(ref2) {
+  triggerRefValue(ref2, 4, false ? ref2.value : void 0);
+}
+__name(triggerRef, "triggerRef");
+function unref(ref2) {
+  return isRef(ref2) ? ref2.value : ref2;
+}
+__name(unref, "unref");
+function toValue$2(source) {
+  return isFunction$4(source) ? source() : unref(source);
+}
+__name(toValue$2, "toValue$2");
+const shallowUnwrapHandlers = {
+  get: /* @__PURE__ */ __name((target, key, receiver) => unref(Reflect.get(target, key, receiver)), "get"),
+  set: /* @__PURE__ */ __name((target, key, value3, receiver) => {
+    const oldValue = target[key];
+    if (isRef(oldValue) && !isRef(value3)) {
+      oldValue.value = value3;
+      return true;
+    } else {
+      return Reflect.set(target, key, value3, receiver);
+    }
+  }, "set")
+};
+function proxyRefs(objectWithRefs) {
+  return isReactive(objectWithRefs) ? objectWithRefs : new Proxy(objectWithRefs, shallowUnwrapHandlers);
+}
+__name(proxyRefs, "proxyRefs");
+class CustomRefImpl {
+  static {
+    __name(this, "CustomRefImpl");
+  }
+  constructor(factory) {
+    this.dep = void 0;
+    this.__v_isRef = true;
+    const { get: get2, set: set2 } = factory(
+      () => trackRefValue(this),
+      () => triggerRefValue(this)
+    );
+    this._get = get2;
+    this._set = set2;
+  }
+  get value() {
+    return this._get();
+  }
+  set value(newVal) {
+    this._set(newVal);
+  }
+}
+function customRef(factory) {
+  return new CustomRefImpl(factory);
+}
+__name(customRef, "customRef");
+function toRefs$1(object) {
+  if (false) {
+    warn$3(`toRefs() expects a reactive object but received a plain one.`);
+  }
+  const ret = isArray$4(object) ? new Array(object.length) : {};
+  for (const key in object) {
+    ret[key] = propertyToRef(object, key);
+  }
+  return ret;
+}
+__name(toRefs$1, "toRefs$1");
+class ObjectRefImpl {
+  static {
+    __name(this, "ObjectRefImpl");
+  }
+  constructor(_object, _key, _defaultValue) {
+    this._object = _object;
+    this._key = _key;
+    this._defaultValue = _defaultValue;
+    this.__v_isRef = true;
+  }
+  get value() {
+    const val = this._object[this._key];
+    return val === void 0 ? this._defaultValue : val;
+  }
+  set value(newVal) {
+    this._object[this._key] = newVal;
+  }
+  get dep() {
+    return getDepFromReactive(toRaw(this._object), this._key);
+  }
+}
+class GetterRefImpl {
+  static {
+    __name(this, "GetterRefImpl");
+  }
+  constructor(_getter) {
+    this._getter = _getter;
+    this.__v_isRef = true;
+    this.__v_isReadonly = true;
+  }
+  get value() {
+    return this._getter();
+  }
+}
+function toRef$1(source, key, defaultValue) {
+  if (isRef(source)) {
+    return source;
+  } else if (isFunction$4(source)) {
+    return new GetterRefImpl(source);
+  } else if (isObject$6(source) && arguments.length > 1) {
+    return propertyToRef(source, key, defaultValue);
+  } else {
+    return ref(source);
+  }
+}
+__name(toRef$1, "toRef$1");
+function propertyToRef(source, key, defaultValue) {
+  const val = source[key];
+  return isRef(val) ? val : new ObjectRefImpl(source, key, defaultValue);
+}
+__name(propertyToRef, "propertyToRef");
+const deferredComputed = computed$1;
+const TrackOpTypes = {
+  "GET": "get",
+  "HAS": "has",
+  "ITERATE": "iterate"
+};
+const TriggerOpTypes = {
+  "SET": "set",
+  "ADD": "add",
+  "DELETE": "delete",
+  "CLEAR": "clear"
+};
+const ReactiveFlags = {
+  "SKIP": "__v_skip",
+  "IS_REACTIVE": "__v_isReactive",
+  "IS_READONLY": "__v_isReadonly",
+  "IS_SHALLOW": "__v_isShallow",
+  "RAW": "__v_raw"
+};
+/**
+* @vue/runtime-core v3.4.31
+* (c) 2018-present Yuxi (Evan) You and Vue contributors
+* @license MIT
+**/
+const stack = [];
+function pushWarningContext(vnode) {
+  stack.push(vnode);
+}
+__name(pushWarningContext, "pushWarningContext");
+function popWarningContext() {
+  stack.pop();
+}
+__name(popWarningContext, "popWarningContext");
+function warn$1(msg, ...args) {
+  pauseTracking();
+  const instance = stack.length ? stack[stack.length - 1].component : null;
+  const appWarnHandler = instance && instance.appContext.config.warnHandler;
+  const trace = getComponentTrace();
+  if (appWarnHandler) {
+    callWithErrorHandling(
+      appWarnHandler,
+      instance,
+      11,
+      [
+        // eslint-disable-next-line no-restricted-syntax
+        msg + args.map((a) => {
+          var _a, _b;
+          return (_b = (_a = a.toString) == null ? void 0 : _a.call(a)) != null ? _b : JSON.stringify(a);
+        }).join(""),
+        instance && instance.proxy,
+        trace.map(
+          ({ vnode }) => `at <${formatComponentName(instance, vnode.type)}>`
+        ).join("\n"),
+        trace
+      ]
+    );
+  } else {
+    const warnArgs = [`[Vue warn]: ${msg}`, ...args];
+    if (trace.length && // avoid spamming console during tests
+    true) {
+      warnArgs.push(`
+`, ...formatTrace(trace));
+    }
+    console.warn(...warnArgs);
+  }
+  resetTracking();
+}
+__name(warn$1, "warn$1");
+function getComponentTrace() {
+  let currentVNode = stack[stack.length - 1];
+  if (!currentVNode) {
+    return [];
+  }
+  const normalizedStack = [];
+  while (currentVNode) {
+    const last = normalizedStack[0];
+    if (last && last.vnode === currentVNode) {
+      last.recurseCount++;
+    } else {
+      normalizedStack.push({
+        vnode: currentVNode,
+        recurseCount: 0
+      });
+    }
+    const parentInstance = currentVNode.component && currentVNode.component.parent;
+    currentVNode = parentInstance && parentInstance.vnode;
+  }
+  return normalizedStack;
+}
+__name(getComponentTrace, "getComponentTrace");
+function formatTrace(trace) {
+  const logs = [];
+  trace.forEach((entry, i2) => {
+    logs.push(...i2 === 0 ? [] : [`
+`], ...formatTraceEntry(entry));
+  });
+  return logs;
+}
+__name(formatTrace, "formatTrace");
+function formatTraceEntry({ vnode, recurseCount }) {
+  const postfix = recurseCount > 0 ? `... (${recurseCount} recursive calls)` : ``;
+  const isRoot = vnode.component ? vnode.component.parent == null : false;
+  const open2 = ` at <${formatComponentName(
+    vnode.component,
+    vnode.type,
+    isRoot
+  )}`;
+  const close4 = `>` + postfix;
+  return vnode.props ? [open2, ...formatProps(vnode.props), close4] : [open2 + close4];
+}
+__name(formatTraceEntry, "formatTraceEntry");
+function formatProps(props) {
+  const res = [];
+  const keys2 = Object.keys(props);
+  keys2.slice(0, 3).forEach((key) => {
+    res.push(...formatProp(key, props[key]));
+  });
+  if (keys2.length > 3) {
+    res.push(` ...`);
+  }
+  return res;
+}
+__name(formatProps, "formatProps");
+function formatProp(key, value3, raw) {
+  if (isString$5(value3)) {
+    value3 = JSON.stringify(value3);
+    return raw ? value3 : [`${key}=${value3}`];
+  } else if (typeof value3 === "number" || typeof value3 === "boolean" || value3 == null) {
+    return raw ? value3 : [`${key}=${value3}`];
+  } else if (isRef(value3)) {
+    value3 = formatProp(key, toRaw(value3.value), true);
+    return raw ? value3 : [`${key}=Ref<`, value3, `>`];
+  } else if (isFunction$4(value3)) {
+    return [`${key}=fn${value3.name ? `<${value3.name}>` : ``}`];
+  } else {
+    value3 = toRaw(value3);
+    return raw ? value3 : [`${key}=`, value3];
+  }
+}
+__name(formatProp, "formatProp");
+function assertNumber(val, type) {
+  if (true) return;
+  if (val === void 0) {
+    return;
+  } else if (typeof val !== "number") {
+    warn$1(`${type} is not a valid number - got ${JSON.stringify(val)}.`);
+  } else if (isNaN(val)) {
+    warn$1(`${type} is NaN - the duration expression might be incorrect.`);
+  }
+}
+__name(assertNumber, "assertNumber");
+const ErrorCodes = {
+  "SETUP_FUNCTION": 0,
+  "0": "SETUP_FUNCTION",
+  "RENDER_FUNCTION": 1,
+  "1": "RENDER_FUNCTION",
+  "WATCH_GETTER": 2,
+  "2": "WATCH_GETTER",
+  "WATCH_CALLBACK": 3,
+  "3": "WATCH_CALLBACK",
+  "WATCH_CLEANUP": 4,
+  "4": "WATCH_CLEANUP",
+  "NATIVE_EVENT_HANDLER": 5,
+  "5": "NATIVE_EVENT_HANDLER",
+  "COMPONENT_EVENT_HANDLER": 6,
+  "6": "COMPONENT_EVENT_HANDLER",
+  "VNODE_HOOK": 7,
+  "7": "VNODE_HOOK",
+  "DIRECTIVE_HOOK": 8,
+  "8": "DIRECTIVE_HOOK",
+  "TRANSITION_HOOK": 9,
+  "9": "TRANSITION_HOOK",
+  "APP_ERROR_HANDLER": 10,
+  "10": "APP_ERROR_HANDLER",
+  "APP_WARN_HANDLER": 11,
+  "11": "APP_WARN_HANDLER",
+  "FUNCTION_REF": 12,
+  "12": "FUNCTION_REF",
+  "ASYNC_COMPONENT_LOADER": 13,
+  "13": "ASYNC_COMPONENT_LOADER",
+  "SCHEDULER": 14,
+  "14": "SCHEDULER"
+};
+const ErrorTypeStrings$1 = {
+  ["sp"]: "serverPrefetch hook",
+  ["bc"]: "beforeCreate hook",
+  ["c"]: "created hook",
+  ["bm"]: "beforeMount hook",
+  ["m"]: "mounted hook",
+  ["bu"]: "beforeUpdate hook",
+  ["u"]: "updated",
+  ["bum"]: "beforeUnmount hook",
+  ["um"]: "unmounted hook",
+  ["a"]: "activated hook",
+  ["da"]: "deactivated hook",
+  ["ec"]: "errorCaptured hook",
+  ["rtc"]: "renderTracked hook",
+  ["rtg"]: "renderTriggered hook",
+  [0]: "setup function",
+  [1]: "render function",
+  [2]: "watcher getter",
+  [3]: "watcher callback",
+  [4]: "watcher cleanup function",
+  [5]: "native event handler",
+  [6]: "component event handler",
+  [7]: "vnode hook",
+  [8]: "directive hook",
+  [9]: "transition hook",
+  [10]: "app errorHandler",
+  [11]: "app warnHandler",
+  [12]: "ref function",
+  [13]: "async component loader",
+  [14]: "scheduler flush. This is likely a Vue internals bug. Please open an issue at https://github.com/vuejs/core ."
+};
+function callWithErrorHandling(fn, instance, type, args) {
+  try {
+    return args ? fn(...args) : fn();
+  } catch (err) {
+    handleError(err, instance, type);
+  }
+}
+__name(callWithErrorHandling, "callWithErrorHandling");
+function callWithAsyncErrorHandling(fn, instance, type, args) {
+  if (isFunction$4(fn)) {
+    const res = callWithErrorHandling(fn, instance, type, args);
+    if (res && isPromise$2(res)) {
+      res.catch((err) => {
+        handleError(err, instance, type);
+      });
+    }
+    return res;
+  }
+  if (isArray$4(fn)) {
+    const values2 = [];
+    for (let i2 = 0; i2 < fn.length; i2++) {
+      values2.push(callWithAsyncErrorHandling(fn[i2], instance, type, args));
+    }
+    return values2;
+  } else if (false) {
+    warn$1(
+      `Invalid value type passed to callWithAsyncErrorHandling(): ${typeof fn}`
+    );
+  }
+}
+__name(callWithAsyncErrorHandling, "callWithAsyncErrorHandling");
+function handleError(err, instance, type, throwInDev = true) {
+  const contextVNode = instance ? instance.vnode : null;
+  if (instance) {
+    let cur = instance.parent;
+    const exposedInstance = instance.proxy;
+    const errorInfo = false ? ErrorTypeStrings$1[type] : `https://vuejs.org/error-reference/#runtime-${type}`;
+    while (cur) {
+      const errorCapturedHooks = cur.ec;
+      if (errorCapturedHooks) {
+        for (let i2 = 0; i2 < errorCapturedHooks.length; i2++) {
+          if (errorCapturedHooks[i2](err, exposedInstance, errorInfo) === false) {
+            return;
+          }
+        }
+      }
+      cur = cur.parent;
+    }
+    const appErrorHandler = instance.appContext.config.errorHandler;
+    if (appErrorHandler) {
+      pauseTracking();
+      callWithErrorHandling(
+        appErrorHandler,
+        null,
+        10,
+        [err, exposedInstance, errorInfo]
+      );
+      resetTracking();
+      return;
+    }
+  }
+  logError(err, type, contextVNode, throwInDev);
+}
+__name(handleError, "handleError");
+function logError(err, type, contextVNode, throwInDev = true) {
+  if (false) {
+    const info = ErrorTypeStrings$1[type];
+    if (contextVNode) {
+      pushWarningContext(contextVNode);
+    }
+    warn$1(`Unhandled error${info ? ` during execution of ${info}` : ``}`);
+    if (contextVNode) {
+      popWarningContext();
+    }
+    if (throwInDev) {
+      throw err;
+    } else {
+      console.error(err);
+    }
+  } else {
+    console.error(err);
+  }
+}
+__name(logError, "logError");
+let isFlushing = false;
+let isFlushPending = false;
+const queue = [];
+let flushIndex = 0;
+const pendingPostFlushCbs = [];
+let activePostFlushCbs = null;
+let postFlushIndex = 0;
+const resolvedPromise = /* @__PURE__ */ Promise.resolve();
+let currentFlushPromise = null;
+const RECURSION_LIMIT = 100;
+function nextTick(fn) {
+  const p2 = currentFlushPromise || resolvedPromise;
+  return fn ? p2.then(this ? fn.bind(this) : fn) : p2;
+}
+__name(nextTick, "nextTick");
+function findInsertionIndex(id2) {
+  let start2 = flushIndex + 1;
+  let end = queue.length;
+  while (start2 < end) {
+    const middle = start2 + end >>> 1;
+    const middleJob = queue[middle];
+    const middleJobId = getId(middleJob);
+    if (middleJobId < id2 || middleJobId === id2 && middleJob.pre) {
+      start2 = middle + 1;
+    } else {
+      end = middle;
+    }
+  }
+  return start2;
+}
+__name(findInsertionIndex, "findInsertionIndex");
+function queueJob(job) {
+  if (!queue.length || !queue.includes(
+    job,
+    isFlushing && job.allowRecurse ? flushIndex + 1 : flushIndex
+  )) {
+    if (job.id == null) {
+      queue.push(job);
+    } else {
+      queue.splice(findInsertionIndex(job.id), 0, job);
+    }
+    queueFlush();
+  }
+}
+__name(queueJob, "queueJob");
+function queueFlush() {
+  if (!isFlushing && !isFlushPending) {
+    isFlushPending = true;
+    currentFlushPromise = resolvedPromise.then(flushJobs);
+  }
+}
+__name(queueFlush, "queueFlush");
+function invalidateJob(job) {
+  const i2 = queue.indexOf(job);
+  if (i2 > flushIndex) {
+    queue.splice(i2, 1);
+  }
+}
+__name(invalidateJob, "invalidateJob");
+function queuePostFlushCb(cb) {
+  if (!isArray$4(cb)) {
+    if (!activePostFlushCbs || !activePostFlushCbs.includes(
+      cb,
+      cb.allowRecurse ? postFlushIndex + 1 : postFlushIndex
+    )) {
+      pendingPostFlushCbs.push(cb);
+    }
+  } else {
+    pendingPostFlushCbs.push(...cb);
+  }
+  queueFlush();
+}
+__name(queuePostFlushCb, "queuePostFlushCb");
+function flushPreFlushCbs(instance, seen2, i2 = isFlushing ? flushIndex + 1 : 0) {
+  if (false) {
+    seen2 = seen2 || /* @__PURE__ */ new Map();
+  }
+  for (; i2 < queue.length; i2++) {
+    const cb = queue[i2];
+    if (cb && cb.pre) {
+      if (instance && cb.id !== instance.uid) {
+        continue;
+      }
+      if (false) {
+        continue;
+      }
+      queue.splice(i2, 1);
+      i2--;
+      cb();
+    }
+  }
+}
+__name(flushPreFlushCbs, "flushPreFlushCbs");
+function flushPostFlushCbs(seen2) {
+  if (pendingPostFlushCbs.length) {
+    const deduped = [...new Set(pendingPostFlushCbs)].sort(
+      (a, b) => getId(a) - getId(b)
+    );
+    pendingPostFlushCbs.length = 0;
+    if (activePostFlushCbs) {
+      activePostFlushCbs.push(...deduped);
+      return;
+    }
+    activePostFlushCbs = deduped;
+    if (false) {
+      seen2 = seen2 || /* @__PURE__ */ new Map();
+    }
+    for (postFlushIndex = 0; postFlushIndex < activePostFlushCbs.length; postFlushIndex++) {
+      const cb = activePostFlushCbs[postFlushIndex];
+      if (false) {
+        continue;
+      }
+      if (cb.active !== false) cb();
+    }
+    activePostFlushCbs = null;
+    postFlushIndex = 0;
+  }
+}
+__name(flushPostFlushCbs, "flushPostFlushCbs");
+const getId = /* @__PURE__ */ __name((job) => job.id == null ? Infinity : job.id, "getId");
+const comparator = /* @__PURE__ */ __name((a, b) => {
+  const diff = getId(a) - getId(b);
+  if (diff === 0) {
+    if (a.pre && !b.pre) return -1;
+    if (b.pre && !a.pre) return 1;
+  }
+  return diff;
+}, "comparator");
+function flushJobs(seen2) {
+  isFlushPending = false;
+  isFlushing = true;
+  if (false) {
+    seen2 = seen2 || /* @__PURE__ */ new Map();
+  }
+  queue.sort(comparator);
+  const check = false ? (job) => checkRecursiveUpdates(seen2, job) : NOOP;
+  try {
+    for (flushIndex = 0; flushIndex < queue.length; flushIndex++) {
+      const job = queue[flushIndex];
+      if (job && job.active !== false) {
+        if (false) {
+          continue;
+        }
+        callWithErrorHandling(job, null, 14);
+      }
+    }
+  } finally {
+    flushIndex = 0;
+    queue.length = 0;
+    flushPostFlushCbs(seen2);
+    isFlushing = false;
+    currentFlushPromise = null;
+    if (queue.length || pendingPostFlushCbs.length) {
+      flushJobs(seen2);
+    }
+  }
+}
+__name(flushJobs, "flushJobs");
+function checkRecursiveUpdates(seen2, fn) {
+  if (!seen2.has(fn)) {
+    seen2.set(fn, 1);
+  } else {
+    const count = seen2.get(fn);
+    if (count > RECURSION_LIMIT) {
+      const instance = fn.ownerInstance;
+      const componentName = instance && getComponentName(instance.type);
+      handleError(
+        `Maximum recursive updates exceeded${componentName ? ` in component <${componentName}>` : ``}. This means you have a reactive effect that is mutating its own dependencies and thus recursively triggering itself. Possible sources include component template, render function, updated hook or watcher source function.`,
+        null,
+        10
+      );
+      return true;
+    } else {
+      seen2.set(fn, count + 1);
+    }
+  }
+}
+__name(checkRecursiveUpdates, "checkRecursiveUpdates");
+let isHmrUpdating = false;
+const hmrDirtyComponents = /* @__PURE__ */ new Set();
+if (false) {
+  getGlobalThis$1().__VUE_HMR_RUNTIME__ = {
+    createRecord: tryWrap(createRecord),
+    rerender: tryWrap(rerender),
+    reload: tryWrap(reload)
+  };
+}
+const map = /* @__PURE__ */ new Map();
+function registerHMR(instance) {
+  const id2 = instance.type.__hmrId;
+  let record = map.get(id2);
+  if (!record) {
+    createRecord(id2, instance.type);
+    record = map.get(id2);
+  }
+  record.instances.add(instance);
+}
+__name(registerHMR, "registerHMR");
+function unregisterHMR(instance) {
+  map.get(instance.type.__hmrId).instances.delete(instance);
+}
+__name(unregisterHMR, "unregisterHMR");
+function createRecord(id2, initialDef) {
+  if (map.has(id2)) {
+    return false;
+  }
+  map.set(id2, {
+    initialDef: normalizeClassComponent(initialDef),
+    instances: /* @__PURE__ */ new Set()
+  });
+  return true;
+}
+__name(createRecord, "createRecord");
+function normalizeClassComponent(component) {
+  return isClassComponent(component) ? component.__vccOpts : component;
+}
+__name(normalizeClassComponent, "normalizeClassComponent");
+function rerender(id2, newRender) {
+  const record = map.get(id2);
+  if (!record) {
+    return;
+  }
+  record.initialDef.render = newRender;
+  [...record.instances].forEach((instance) => {
+    if (newRender) {
+      instance.render = newRender;
+      normalizeClassComponent(instance.type).render = newRender;
+    }
+    instance.renderCache = [];
+    isHmrUpdating = true;
+    instance.effect.dirty = true;
+    instance.update();
+    isHmrUpdating = false;
+  });
+}
+__name(rerender, "rerender");
+function reload(id2, newComp) {
+  const record = map.get(id2);
+  if (!record) return;
+  newComp = normalizeClassComponent(newComp);
+  updateComponentDef(record.initialDef, newComp);
+  const instances = [...record.instances];
+  for (const instance of instances) {
+    const oldComp = normalizeClassComponent(instance.type);
+    if (!hmrDirtyComponents.has(oldComp)) {
+      if (oldComp !== record.initialDef) {
+        updateComponentDef(oldComp, newComp);
+      }
+      hmrDirtyComponents.add(oldComp);
+    }
+    instance.appContext.propsCache.delete(instance.type);
+    instance.appContext.emitsCache.delete(instance.type);
+    instance.appContext.optionsCache.delete(instance.type);
+    if (instance.ceReload) {
+      hmrDirtyComponents.add(oldComp);
+      instance.ceReload(newComp.styles);
+      hmrDirtyComponents.delete(oldComp);
+    } else if (instance.parent) {
+      instance.parent.effect.dirty = true;
+      queueJob(() => {
+        instance.parent.update();
+        hmrDirtyComponents.delete(oldComp);
+      });
+    } else if (instance.appContext.reload) {
+      instance.appContext.reload();
+    } else if (typeof window !== "undefined") {
+      window.location.reload();
+    } else {
+      console.warn(
+        "[HMR] Root or manually mounted instance modified. Full reload required."
+      );
+    }
+  }
+  queuePostFlushCb(() => {
+    for (const instance of instances) {
+      hmrDirtyComponents.delete(
+        normalizeClassComponent(instance.type)
+      );
+    }
+  });
+}
+__name(reload, "reload");
+function updateComponentDef(oldComp, newComp) {
+  extend$1(oldComp, newComp);
+  for (const key in oldComp) {
+    if (key !== "__file" && !(key in newComp)) {
+      delete oldComp[key];
+    }
+  }
+}
+__name(updateComponentDef, "updateComponentDef");
+function tryWrap(fn) {
+  return (id2, arg) => {
+    try {
+      return fn(id2, arg);
+    } catch (e) {
+      console.error(e);
+      console.warn(
+        `[HMR] Something went wrong during Vue component hot-reload. Full reload required.`
+      );
+    }
+  };
+}
+__name(tryWrap, "tryWrap");
+let devtools$1;
+let buffer = [];
+let devtoolsNotInstalled = false;
+function emit$1(event2, ...args) {
+  if (devtools$1) {
+    devtools$1.emit(event2, ...args);
+  } else if (!devtoolsNotInstalled) {
+    buffer.push({ event: event2, args });
+  }
+}
+__name(emit$1, "emit$1");
+function setDevtoolsHook$1(hook, target) {
+  var _a, _b;
+  devtools$1 = hook;
+  if (devtools$1) {
+    devtools$1.enabled = true;
+    buffer.forEach(({ event: event2, args }) => devtools$1.emit(event2, ...args));
+    buffer = [];
+  } else if (
+    // handle late devtools injection - only do this if we are in an actual
+    // browser environment to avoid the timer handle stalling test runner exit
+    // (#4815)
+    typeof window !== "undefined" && // some envs mock window but not fully
+    window.HTMLElement && // also exclude jsdom
+    // eslint-disable-next-line no-restricted-syntax
+    !((_b = (_a = window.navigator) == null ? void 0 : _a.userAgent) == null ? void 0 : _b.includes("jsdom"))
+  ) {
+    const replay = target.__VUE_DEVTOOLS_HOOK_REPLAY__ = target.__VUE_DEVTOOLS_HOOK_REPLAY__ || [];
+    replay.push((newHook) => {
+      setDevtoolsHook$1(newHook, target);
+    });
+    setTimeout(() => {
+      if (!devtools$1) {
+        target.__VUE_DEVTOOLS_HOOK_REPLAY__ = null;
+        devtoolsNotInstalled = true;
+        buffer = [];
+      }
+    }, 3e3);
+  } else {
+    devtoolsNotInstalled = true;
+    buffer = [];
+  }
+}
+__name(setDevtoolsHook$1, "setDevtoolsHook$1");
+function devtoolsInitApp(app2, version2) {
+  emit$1("app:init", app2, version2, {
+    Fragment,
+    Text,
+    Comment,
+    Static
+  });
+}
+__name(devtoolsInitApp, "devtoolsInitApp");
+function devtoolsUnmountApp(app2) {
+  emit$1("app:unmount", app2);
+}
+__name(devtoolsUnmountApp, "devtoolsUnmountApp");
+const devtoolsComponentAdded = /* @__PURE__ */ createDevtoolsComponentHook(
+  "component:added"
+  /* COMPONENT_ADDED */
+);
+const devtoolsComponentUpdated = /* @__PURE__ */ createDevtoolsComponentHook(
+  "component:updated"
+  /* COMPONENT_UPDATED */
+);
+const _devtoolsComponentRemoved = /* @__PURE__ */ createDevtoolsComponentHook(
+  "component:removed"
+  /* COMPONENT_REMOVED */
+);
+const devtoolsComponentRemoved = /* @__PURE__ */ __name((component) => {
+  if (devtools$1 && typeof devtools$1.cleanupBuffer === "function" && // remove the component if it wasn't buffered
+  !devtools$1.cleanupBuffer(component)) {
+    _devtoolsComponentRemoved(component);
+  }
+}, "devtoolsComponentRemoved");
+/*! #__NO_SIDE_EFFECTS__ */
+// @__NO_SIDE_EFFECTS__
+function createDevtoolsComponentHook(hook) {
+  return (component) => {
+    emit$1(
+      hook,
+      component.appContext.app,
+      component.uid,
+      component.parent ? component.parent.uid : void 0,
+      component
+    );
+  };
+}
+__name(createDevtoolsComponentHook, "createDevtoolsComponentHook");
+const devtoolsPerfStart = /* @__PURE__ */ createDevtoolsPerformanceHook(
+  "perf:start"
+  /* PERFORMANCE_START */
+);
+const devtoolsPerfEnd = /* @__PURE__ */ createDevtoolsPerformanceHook(
+  "perf:end"
+  /* PERFORMANCE_END */
+);
+function createDevtoolsPerformanceHook(hook) {
+  return (component, type, time) => {
+    emit$1(hook, component.appContext.app, component.uid, component, type, time);
+  };
+}
+__name(createDevtoolsPerformanceHook, "createDevtoolsPerformanceHook");
+function devtoolsComponentEmit(component, event2, params) {
+  emit$1(
+    "component:emit",
+    component.appContext.app,
+    component,
+    event2,
+    params
+  );
+}
+__name(devtoolsComponentEmit, "devtoolsComponentEmit");
+function emit(instance, event2, ...rawArgs) {
+  if (instance.isUnmounted) return;
+  const props = instance.vnode.props || EMPTY_OBJ;
+  if (false) {
+    const {
+      emitsOptions,
+      propsOptions: [propsOptions]
+    } = instance;
+    if (emitsOptions) {
+      if (!(event2 in emitsOptions) && true) {
+        if (!propsOptions || !(toHandlerKey(event2) in propsOptions)) {
+          warn$1(
+            `Component emitted event "${event2}" but it is neither declared in the emits option nor as an "${toHandlerKey(event2)}" prop.`
+          );
+        }
+      } else {
+        const validator3 = emitsOptions[event2];
+        if (isFunction$4(validator3)) {
+          const isValid2 = validator3(...rawArgs);
+          if (!isValid2) {
+            warn$1(
+              `Invalid event arguments: event validation failed for event "${event2}".`
+            );
+          }
+        }
+      }
+    }
+  }
+  let args = rawArgs;
+  const isModelListener2 = event2.startsWith("update:");
+  const modelArg = isModelListener2 && event2.slice(7);
+  if (modelArg && modelArg in props) {
+    const modifiersKey = `${modelArg === "modelValue" ? "model" : modelArg}Modifiers`;
+    const { number: number2, trim: trim2 } = props[modifiersKey] || EMPTY_OBJ;
+    if (trim2) {
+      args = rawArgs.map((a) => isString$5(a) ? a.trim() : a);
+    }
+    if (number2) {
+      args = rawArgs.map(looseToNumber);
+    }
+  }
+  if (false) {
+    devtoolsComponentEmit(instance, event2, args);
+  }
+  if (false) {
+    const lowerCaseEvent = event2.toLowerCase();
+    if (lowerCaseEvent !== event2 && props[toHandlerKey(lowerCaseEvent)]) {
+      warn$1(
+        `Event "${lowerCaseEvent}" is emitted in component ${formatComponentName(
+          instance,
+          instance.type
+        )} but the handler is registered for "${event2}". Note that HTML attributes are case-insensitive and you cannot use v-on to listen to camelCase events when using in-DOM templates. You should probably use "${hyphenate$1(
+          event2
+        )}" instead of "${event2}".`
+      );
+    }
+  }
+  let handlerName;
+  let handler6 = props[handlerName = toHandlerKey(event2)] || // also try camelCase event handler (#2249)
+  props[handlerName = toHandlerKey(camelize$1(event2))];
+  if (!handler6 && isModelListener2) {
+    handler6 = props[handlerName = toHandlerKey(hyphenate$1(event2))];
+  }
+  if (handler6) {
+    callWithAsyncErrorHandling(
+      handler6,
+      instance,
+      6,
+      args
+    );
+  }
+  const onceHandler = props[handlerName + `Once`];
+  if (onceHandler) {
+    if (!instance.emitted) {
+      instance.emitted = {};
+    } else if (instance.emitted[handlerName]) {
+      return;
+    }
+    instance.emitted[handlerName] = true;
+    callWithAsyncErrorHandling(
+      onceHandler,
+      instance,
+      6,
+      args
+    );
+  }
+}
+__name(emit, "emit");
+function normalizeEmitsOptions(comp, appContext, asMixin = false) {
+  const cache2 = appContext.emitsCache;
+  const cached = cache2.get(comp);
+  if (cached !== void 0) {
+    return cached;
+  }
+  const raw = comp.emits;
+  let normalized = {};
+  let hasExtends = false;
+  if (!isFunction$4(comp)) {
+    const extendEmits = /* @__PURE__ */ __name((raw2) => {
+      const normalizedFromExtend = normalizeEmitsOptions(raw2, appContext, true);
+      if (normalizedFromExtend) {
+        hasExtends = true;
+        extend$1(normalized, normalizedFromExtend);
+      }
+    }, "extendEmits");
+    if (!asMixin && appContext.mixins.length) {
+      appContext.mixins.forEach(extendEmits);
+    }
+    if (comp.extends) {
+      extendEmits(comp.extends);
+    }
+    if (comp.mixins) {
+      comp.mixins.forEach(extendEmits);
+    }
+  }
+  if (!raw && !hasExtends) {
+    if (isObject$6(comp)) {
+      cache2.set(comp, null);
+    }
+    return null;
+  }
+  if (isArray$4(raw)) {
+    raw.forEach((key) => normalized[key] = null);
+  } else {
+    extend$1(normalized, raw);
+  }
+  if (isObject$6(comp)) {
+    cache2.set(comp, normalized);
+  }
+  return normalized;
+}
+__name(normalizeEmitsOptions, "normalizeEmitsOptions");
+function isEmitListener(options3, key) {
+  if (!options3 || !isOn(key)) {
+    return false;
+  }
+  key = key.slice(2).replace(/Once$/, "");
+  return hasOwn$3(options3, key[0].toLowerCase() + key.slice(1)) || hasOwn$3(options3, hyphenate$1(key)) || hasOwn$3(options3, key);
+}
+__name(isEmitListener, "isEmitListener");
+let currentRenderingInstance = null;
+let currentScopeId = null;
+function setCurrentRenderingInstance(instance) {
+  const prev2 = currentRenderingInstance;
+  currentRenderingInstance = instance;
+  currentScopeId = instance && instance.type.__scopeId || null;
+  return prev2;
+}
+__name(setCurrentRenderingInstance, "setCurrentRenderingInstance");
+function pushScopeId(id2) {
+  currentScopeId = id2;
+}
+__name(pushScopeId, "pushScopeId");
+function popScopeId() {
+  currentScopeId = null;
+}
+__name(popScopeId, "popScopeId");
+const withScopeId = /* @__PURE__ */ __name((_id2) => withCtx, "withScopeId");
+function withCtx(fn, ctx = currentRenderingInstance, isNonScopedSlot) {
+  if (!ctx) return fn;
+  if (fn._n) {
+    return fn;
+  }
+  const renderFnWithContext = /* @__PURE__ */ __name((...args) => {
+    if (renderFnWithContext._d) {
+      setBlockTracking(-1);
+    }
+    const prevInstance = setCurrentRenderingInstance(ctx);
+    let res;
+    try {
+      res = fn(...args);
+    } finally {
+      setCurrentRenderingInstance(prevInstance);
+      if (renderFnWithContext._d) {
+        setBlockTracking(1);
+      }
+    }
+    if (false) {
+      devtoolsComponentUpdated(ctx);
+    }
+    return res;
+  }, "renderFnWithContext");
+  renderFnWithContext._n = true;
+  renderFnWithContext._c = true;
+  renderFnWithContext._d = true;
+  return renderFnWithContext;
+}
+__name(withCtx, "withCtx");
+let accessedAttrs = false;
+function markAttrsAccessed() {
+  accessedAttrs = true;
+}
+__name(markAttrsAccessed, "markAttrsAccessed");
+function renderComponentRoot(instance) {
+  const {
+    type: Component,
+    vnode,
+    proxy,
+    withProxy,
+    propsOptions: [propsOptions],
+    slots,
+    attrs: attrs3,
+    emit: emit2,
+    render: render2,
+    renderCache,
+    props,
+    data: data24,
+    setupState,
+    ctx,
+    inheritAttrs
+  } = instance;
+  const prev2 = setCurrentRenderingInstance(instance);
+  let result;
+  let fallthroughAttrs;
+  if (false) {
+    accessedAttrs = false;
+  }
+  try {
+    if (vnode.shapeFlag & 4) {
+      const proxyToUse = withProxy || proxy;
+      const thisProxy = false ? new Proxy(proxyToUse, {
+        get(target, key, receiver) {
+          warn$1(
+            `Property '${String(
+              key
+            )}' was accessed via 'this'. Avoid using 'this' in templates.`
+          );
+          return Reflect.get(target, key, receiver);
+        }
+      }) : proxyToUse;
+      result = normalizeVNode(
+        render2.call(
+          thisProxy,
+          proxyToUse,
+          renderCache,
+          false ? shallowReadonly(props) : props,
+          setupState,
+          data24,
+          ctx
+        )
+      );
+      fallthroughAttrs = attrs3;
+    } else {
+      const render22 = Component;
+      if (false) {
+        markAttrsAccessed();
+      }
+      result = normalizeVNode(
+        render22.length > 1 ? render22(
+          false ? shallowReadonly(props) : props,
+          false ? {
+            get attrs() {
+              markAttrsAccessed();
+              return shallowReadonly(attrs3);
+            },
+            slots,
+            emit: emit2
+          } : { attrs: attrs3, slots, emit: emit2 }
+        ) : render22(
+          false ? shallowReadonly(props) : props,
+          null
+        )
+      );
+      fallthroughAttrs = Component.props ? attrs3 : getFunctionalFallthrough(attrs3);
+    }
+  } catch (err) {
+    blockStack.length = 0;
+    handleError(err, instance, 1);
+    result = createVNode(Comment);
+  }
+  let root26 = result;
+  let setRoot = void 0;
+  if (false) {
+    [root26, setRoot] = getChildRoot(result);
+  }
+  if (fallthroughAttrs && inheritAttrs !== false) {
+    const keys2 = Object.keys(fallthroughAttrs);
+    const { shapeFlag } = root26;
+    if (keys2.length) {
+      if (shapeFlag & (1 | 6)) {
+        if (propsOptions && keys2.some(isModelListener)) {
+          fallthroughAttrs = filterModelListeners(
+            fallthroughAttrs,
+            propsOptions
+          );
+        }
+        root26 = cloneVNode(root26, fallthroughAttrs, false, true);
+      } else if (false) {
+        const allAttrs = Object.keys(attrs3);
+        const eventAttrs = [];
+        const extraAttrs = [];
+        for (let i2 = 0, l = allAttrs.length; i2 < l; i2++) {
+          const key = allAttrs[i2];
+          if (isOn(key)) {
+            if (!isModelListener(key)) {
+              eventAttrs.push(key[2].toLowerCase() + key.slice(3));
+            }
+          } else {
+            extraAttrs.push(key);
+          }
+        }
+        if (extraAttrs.length) {
+          warn$1(
+            `Extraneous non-props attributes (${extraAttrs.join(", ")}) were passed to component but could not be automatically inherited because component renders fragment or text root nodes.`
+          );
+        }
+        if (eventAttrs.length) {
+          warn$1(
+            `Extraneous non-emits event listeners (${eventAttrs.join(", ")}) were passed to component but could not be automatically inherited because component renders fragment or text root nodes. If the listener is intended to be a component custom event listener only, declare it using the "emits" option.`
+          );
+        }
+      }
+    }
+  }
+  if (vnode.dirs) {
+    if (false) {
+      warn$1(
+        `Runtime directive used on component with non-element root node. The directives will not function as intended.`
+      );
+    }
+    root26 = cloneVNode(root26, null, false, true);
+    root26.dirs = root26.dirs ? root26.dirs.concat(vnode.dirs) : vnode.dirs;
+  }
+  if (vnode.transition) {
+    if (false) {
+      warn$1(
+        `Component inside <Transition> renders non-element root node that cannot be animated.`
+      );
+    }
+    root26.transition = vnode.transition;
+  }
+  if (false) {
+    setRoot(root26);
+  } else {
+    result = root26;
+  }
+  setCurrentRenderingInstance(prev2);
+  return result;
+}
+__name(renderComponentRoot, "renderComponentRoot");
+const getChildRoot = /* @__PURE__ */ __name((vnode) => {
+  const rawChildren = vnode.children;
+  const dynamicChildren = vnode.dynamicChildren;
+  const childRoot = filterSingleRoot(rawChildren, false);
+  if (!childRoot) {
+    return [vnode, void 0];
+  } else if (false) {
+    return getChildRoot(childRoot);
+  }
+  const index2 = rawChildren.indexOf(childRoot);
+  const dynamicIndex = dynamicChildren ? dynamicChildren.indexOf(childRoot) : -1;
+  const setRoot = /* @__PURE__ */ __name((updatedRoot) => {
+    rawChildren[index2] = updatedRoot;
+    if (dynamicChildren) {
+      if (dynamicIndex > -1) {
+        dynamicChildren[dynamicIndex] = updatedRoot;
+      } else if (updatedRoot.patchFlag > 0) {
+        vnode.dynamicChildren = [...dynamicChildren, updatedRoot];
+      }
+    }
+  }, "setRoot");
+  return [normalizeVNode(childRoot), setRoot];
+}, "getChildRoot");
+function filterSingleRoot(children, recurse = true) {
+  let singleRoot;
+  for (let i2 = 0; i2 < children.length; i2++) {
+    const child = children[i2];
+    if (isVNode$1(child)) {
+      if (child.type !== Comment || child.children === "v-if") {
+        if (singleRoot) {
+          return;
+        } else {
+          singleRoot = child;
+          if (false) {
+            return filterSingleRoot(singleRoot.children);
+          }
+        }
+      }
+    } else {
+      return;
+    }
+  }
+  return singleRoot;
+}
+__name(filterSingleRoot, "filterSingleRoot");
+const getFunctionalFallthrough = /* @__PURE__ */ __name((attrs3) => {
+  let res;
+  for (const key in attrs3) {
+    if (key === "class" || key === "style" || isOn(key)) {
+      (res || (res = {}))[key] = attrs3[key];
+    }
+  }
+  return res;
+}, "getFunctionalFallthrough");
+const filterModelListeners = /* @__PURE__ */ __name((attrs3, props) => {
+  const res = {};
+  for (const key in attrs3) {
+    if (!isModelListener(key) || !(key.slice(9) in props)) {
+      res[key] = attrs3[key];
+    }
+  }
+  return res;
+}, "filterModelListeners");
+const isElementRoot = /* @__PURE__ */ __name((vnode) => {
+  return vnode.shapeFlag & (6 | 1) || vnode.type === Comment;
+}, "isElementRoot");
+function shouldUpdateComponent(prevVNode, nextVNode, optimized) {
+  const { props: prevProps, children: prevChildren, component } = prevVNode;
+  const { props: nextProps, children: nextChildren, patchFlag } = nextVNode;
+  const emits = component.emitsOptions;
+  if (false) {
+    return true;
+  }
+  if (nextVNode.dirs || nextVNode.transition) {
+    return true;
+  }
+  if (optimized && patchFlag >= 0) {
+    if (patchFlag & 1024) {
+      return true;
+    }
+    if (patchFlag & 16) {
+      if (!prevProps) {
+        return !!nextProps;
+      }
+      return hasPropsChanged(prevProps, nextProps, emits);
+    } else if (patchFlag & 8) {
+      const dynamicProps = nextVNode.dynamicProps;
+      for (let i2 = 0; i2 < dynamicProps.length; i2++) {
+        const key = dynamicProps[i2];
+        if (nextProps[key] !== prevProps[key] && !isEmitListener(emits, key)) {
+          return true;
+        }
+      }
+    }
+  } else {
+    if (prevChildren || nextChildren) {
+      if (!nextChildren || !nextChildren.$stable) {
+        return true;
+      }
+    }
+    if (prevProps === nextProps) {
+      return false;
+    }
+    if (!prevProps) {
+      return !!nextProps;
+    }
+    if (!nextProps) {
+      return true;
+    }
+    return hasPropsChanged(prevProps, nextProps, emits);
+  }
+  return false;
+}
+__name(shouldUpdateComponent, "shouldUpdateComponent");
+function hasPropsChanged(prevProps, nextProps, emitsOptions) {
+  const nextKeys = Object.keys(nextProps);
+  if (nextKeys.length !== Object.keys(prevProps).length) {
+    return true;
+  }
+  for (let i2 = 0; i2 < nextKeys.length; i2++) {
+    const key = nextKeys[i2];
+    if (nextProps[key] !== prevProps[key] && !isEmitListener(emitsOptions, key)) {
+      return true;
+    }
+  }
+  return false;
+}
+__name(hasPropsChanged, "hasPropsChanged");
+function updateHOCHostEl({ vnode, parent }, el) {
+  while (parent) {
+    const root26 = parent.subTree;
+    if (root26.suspense && root26.suspense.activeBranch === vnode) {
+      root26.el = vnode.el;
+    }
+    if (root26 === vnode) {
+      (vnode = parent.vnode).el = el;
+      parent = parent.parent;
+    } else {
+      break;
+    }
+  }
+}
+__name(updateHOCHostEl, "updateHOCHostEl");
+const COMPONENTS = "components";
+const DIRECTIVES = "directives";
+function resolveComponent(name, maybeSelfReference) {
+  return resolveAsset(COMPONENTS, name, true, maybeSelfReference) || name;
+}
+__name(resolveComponent, "resolveComponent");
+const NULL_DYNAMIC_COMPONENT = Symbol.for("v-ndc");
+function resolveDynamicComponent(component) {
+  if (isString$5(component)) {
+    return resolveAsset(COMPONENTS, component, false) || component;
+  } else {
+    return component || NULL_DYNAMIC_COMPONENT;
+  }
+}
+__name(resolveDynamicComponent, "resolveDynamicComponent");
+function resolveDirective(name) {
+  return resolveAsset(DIRECTIVES, name);
+}
+__name(resolveDirective, "resolveDirective");
+function resolveAsset(type, name, warnMissing = true, maybeSelfReference = false) {
+  const instance = currentRenderingInstance || currentInstance;
+  if (instance) {
+    const Component = instance.type;
+    if (type === COMPONENTS) {
+      const selfName = getComponentName(
+        Component,
+        false
+      );
+      if (selfName && (selfName === name || selfName === camelize$1(name) || selfName === capitalize$1(camelize$1(name)))) {
+        return Component;
+      }
+    }
+    const res = (
+      // local registration
+      // check instance[type] first which is resolved for options API
+      resolve$1(instance[type] || Component[type], name) || // global registration
+      resolve$1(instance.appContext[type], name)
+    );
+    if (!res && maybeSelfReference) {
+      return Component;
+    }
+    if (false) {
+      const extra = type === COMPONENTS ? `
+If this is a native custom element, make sure to exclude it from component resolution via compilerOptions.isCustomElement.` : ``;
+      warn$1(`Failed to resolve ${type.slice(0, -1)}: ${name}${extra}`);
+    }
+    return res;
+  } else if (false) {
+    warn$1(
+      `resolve${capitalize$1(type.slice(0, -1))} can only be used in render() or setup().`
+    );
+  }
+}
+__name(resolveAsset, "resolveAsset");
+function resolve$1(registry, name) {
+  return registry && (registry[name] || registry[camelize$1(name)] || registry[capitalize$1(camelize$1(name))]);
+}
+__name(resolve$1, "resolve$1");
+const isSuspense = /* @__PURE__ */ __name((type) => type.__isSuspense, "isSuspense");
+let suspenseId = 0;
+const SuspenseImpl = {
+  name: "Suspense",
+  // In order to make Suspense tree-shakable, we need to avoid importing it
+  // directly in the renderer. The renderer checks for the __isSuspense flag
+  // on a vnode's type and calls the `process` method, passing in renderer
+  // internals.
+  __isSuspense: true,
+  process(n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized, rendererInternals) {
+    if (n1 == null) {
+      mountSuspense(
+        n2,
+        container,
+        anchor,
+        parentComponent,
+        parentSuspense,
+        namespace,
+        slotScopeIds,
+        optimized,
+        rendererInternals
+      );
+    } else {
+      if (parentSuspense && parentSuspense.deps > 0 && !n1.suspense.isInFallback) {
+        n2.suspense = n1.suspense;
+        n2.suspense.vnode = n2;
+        n2.el = n1.el;
+        return;
+      }
+      patchSuspense(
+        n1,
+        n2,
+        container,
+        anchor,
+        parentComponent,
+        namespace,
+        slotScopeIds,
+        optimized,
+        rendererInternals
+      );
+    }
+  },
+  hydrate: hydrateSuspense,
+  normalize: normalizeSuspenseChildren
+};
+const Suspense = SuspenseImpl;
+function triggerEvent(vnode, name) {
+  const eventListener = vnode.props && vnode.props[name];
+  if (isFunction$4(eventListener)) {
+    eventListener();
+  }
+}
+__name(triggerEvent, "triggerEvent");
+function mountSuspense(vnode, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized, rendererInternals) {
+  const {
+    p: patch,
+    o: { createElement: createElement2 }
+  } = rendererInternals;
+  const hiddenContainer = createElement2("div");
+  const suspense = vnode.suspense = createSuspenseBoundary(
+    vnode,
+    parentSuspense,
+    parentComponent,
+    container,
+    hiddenContainer,
+    anchor,
+    namespace,
+    slotScopeIds,
+    optimized,
+    rendererInternals
+  );
+  patch(
+    null,
+    suspense.pendingBranch = vnode.ssContent,
+    hiddenContainer,
+    null,
+    parentComponent,
+    suspense,
+    namespace,
+    slotScopeIds
+  );
+  if (suspense.deps > 0) {
+    triggerEvent(vnode, "onPending");
+    triggerEvent(vnode, "onFallback");
+    patch(
+      null,
+      vnode.ssFallback,
+      container,
+      anchor,
+      parentComponent,
+      null,
+      // fallback tree will not have suspense context
+      namespace,
+      slotScopeIds
+    );
+    setActiveBranch(suspense, vnode.ssFallback);
+  } else {
+    suspense.resolve(false, true);
+  }
+}
+__name(mountSuspense, "mountSuspense");
+function patchSuspense(n1, n2, container, anchor, parentComponent, namespace, slotScopeIds, optimized, { p: patch, um: unmount, o: { createElement: createElement2 } }) {
+  const suspense = n2.suspense = n1.suspense;
+  suspense.vnode = n2;
+  n2.el = n1.el;
+  const newBranch = n2.ssContent;
+  const newFallback = n2.ssFallback;
+  const { activeBranch, pendingBranch, isInFallback, isHydrating } = suspense;
+  if (pendingBranch) {
+    suspense.pendingBranch = newBranch;
+    if (isSameVNodeType(newBranch, pendingBranch)) {
+      patch(
+        pendingBranch,
+        newBranch,
+        suspense.hiddenContainer,
+        null,
+        parentComponent,
+        suspense,
+        namespace,
+        slotScopeIds,
+        optimized
+      );
+      if (suspense.deps <= 0) {
+        suspense.resolve();
+      } else if (isInFallback) {
+        if (!isHydrating) {
+          patch(
+            activeBranch,
+            newFallback,
+            container,
+            anchor,
+            parentComponent,
+            null,
+            // fallback tree will not have suspense context
+            namespace,
+            slotScopeIds,
+            optimized
+          );
+          setActiveBranch(suspense, newFallback);
+        }
+      }
+    } else {
+      suspense.pendingId = suspenseId++;
+      if (isHydrating) {
+        suspense.isHydrating = false;
+        suspense.activeBranch = pendingBranch;
+      } else {
+        unmount(pendingBranch, parentComponent, suspense);
+      }
+      suspense.deps = 0;
+      suspense.effects.length = 0;
+      suspense.hiddenContainer = createElement2("div");
+      if (isInFallback) {
+        patch(
+          null,
+          newBranch,
+          suspense.hiddenContainer,
+          null,
+          parentComponent,
+          suspense,
+          namespace,
+          slotScopeIds,
+          optimized
+        );
+        if (suspense.deps <= 0) {
+          suspense.resolve();
+        } else {
+          patch(
+            activeBranch,
+            newFallback,
+            container,
+            anchor,
+            parentComponent,
+            null,
+            // fallback tree will not have suspense context
+            namespace,
+            slotScopeIds,
+            optimized
+          );
+          setActiveBranch(suspense, newFallback);
+        }
+      } else if (activeBranch && isSameVNodeType(newBranch, activeBranch)) {
+        patch(
+          activeBranch,
+          newBranch,
+          container,
+          anchor,
+          parentComponent,
+          suspense,
+          namespace,
+          slotScopeIds,
+          optimized
+        );
+        suspense.resolve(true);
+      } else {
+        patch(
+          null,
+          newBranch,
+          suspense.hiddenContainer,
+          null,
+          parentComponent,
+          suspense,
+          namespace,
+          slotScopeIds,
+          optimized
+        );
+        if (suspense.deps <= 0) {
+          suspense.resolve();
+        }
+      }
+    }
+  } else {
+    if (activeBranch && isSameVNodeType(newBranch, activeBranch)) {
+      patch(
+        activeBranch,
+        newBranch,
+        container,
+        anchor,
+        parentComponent,
+        suspense,
+        namespace,
+        slotScopeIds,
+        optimized
+      );
+      setActiveBranch(suspense, newBranch);
+    } else {
+      triggerEvent(n2, "onPending");
+      suspense.pendingBranch = newBranch;
+      if (newBranch.shapeFlag & 512) {
+        suspense.pendingId = newBranch.component.suspenseId;
+      } else {
+        suspense.pendingId = suspenseId++;
+      }
+      patch(
+        null,
+        newBranch,
+        suspense.hiddenContainer,
+        null,
+        parentComponent,
+        suspense,
+        namespace,
+        slotScopeIds,
+        optimized
+      );
+      if (suspense.deps <= 0) {
+        suspense.resolve();
+      } else {
+        const { timeout, pendingId } = suspense;
+        if (timeout > 0) {
+          setTimeout(() => {
+            if (suspense.pendingId === pendingId) {
+              suspense.fallback(newFallback);
+            }
+          }, timeout);
+        } else if (timeout === 0) {
+          suspense.fallback(newFallback);
+        }
+      }
+    }
+  }
+}
+__name(patchSuspense, "patchSuspense");
+let hasWarned$1 = false;
+function createSuspenseBoundary(vnode, parentSuspense, parentComponent, container, hiddenContainer, anchor, namespace, slotScopeIds, optimized, rendererInternals, isHydrating = false) {
+  if (false) {
+    hasWarned$1 = true;
+    console[console.info ? "info" : "log"](
+      `<Suspense> is an experimental feature and its API will likely change.`
+    );
+  }
+  const {
+    p: patch,
+    m: move,
+    um: unmount,
+    n: next2,
+    o: { parentNode, remove: remove22 }
+  } = rendererInternals;
+  let parentSuspenseId;
+  const isSuspensible = isVNodeSuspensible(vnode);
+  if (isSuspensible) {
+    if (parentSuspense && parentSuspense.pendingBranch) {
+      parentSuspenseId = parentSuspense.pendingId;
+      parentSuspense.deps++;
+    }
+  }
+  const timeout = vnode.props ? toNumber(vnode.props.timeout) : void 0;
+  if (false) {
+    assertNumber(timeout, `Suspense timeout`);
+  }
+  const initialAnchor = anchor;
+  const suspense = {
+    vnode,
+    parent: parentSuspense,
+    parentComponent,
+    namespace,
+    container,
+    hiddenContainer,
+    deps: 0,
+    pendingId: suspenseId++,
+    timeout: typeof timeout === "number" ? timeout : -1,
+    activeBranch: null,
+    pendingBranch: null,
+    isInFallback: !isHydrating,
+    isHydrating,
+    isUnmounted: false,
+    effects: [],
+    resolve(resume = false, sync = false) {
+      if (false) {
+        if (!resume && !suspense.pendingBranch) {
+          throw new Error(
+            `suspense.resolve() is called without a pending branch.`
+          );
+        }
+        if (suspense.isUnmounted) {
+          throw new Error(
+            `suspense.resolve() is called on an already unmounted suspense boundary.`
+          );
+        }
+      }
+      const {
+        vnode: vnode2,
+        activeBranch,
+        pendingBranch,
+        pendingId,
+        effects,
+        parentComponent: parentComponent2,
+        container: container2
+      } = suspense;
+      let delayEnter = false;
+      if (suspense.isHydrating) {
+        suspense.isHydrating = false;
+      } else if (!resume) {
+        delayEnter = activeBranch && pendingBranch.transition && pendingBranch.transition.mode === "out-in";
+        if (delayEnter) {
+          activeBranch.transition.afterLeave = () => {
+            if (pendingId === suspense.pendingId) {
+              move(
+                pendingBranch,
+                container2,
+                anchor === initialAnchor ? next2(activeBranch) : anchor,
+                0
+              );
+              queuePostFlushCb(effects);
+            }
+          };
+        }
+        if (activeBranch) {
+          if (parentNode(activeBranch.el) !== suspense.hiddenContainer) {
+            anchor = next2(activeBranch);
+          }
+          unmount(activeBranch, parentComponent2, suspense, true);
+        }
+        if (!delayEnter) {
+          move(pendingBranch, container2, anchor, 0);
+        }
+      }
+      setActiveBranch(suspense, pendingBranch);
+      suspense.pendingBranch = null;
+      suspense.isInFallback = false;
+      let parent = suspense.parent;
+      let hasUnresolvedAncestor = false;
+      while (parent) {
+        if (parent.pendingBranch) {
+          parent.effects.push(...effects);
+          hasUnresolvedAncestor = true;
+          break;
+        }
+        parent = parent.parent;
+      }
+      if (!hasUnresolvedAncestor && !delayEnter) {
+        queuePostFlushCb(effects);
+      }
+      suspense.effects = [];
+      if (isSuspensible) {
+        if (parentSuspense && parentSuspense.pendingBranch && parentSuspenseId === parentSuspense.pendingId) {
+          parentSuspense.deps--;
+          if (parentSuspense.deps === 0 && !sync) {
+            parentSuspense.resolve();
+          }
+        }
+      }
+      triggerEvent(vnode2, "onResolve");
+    },
+    fallback(fallbackVNode) {
+      if (!suspense.pendingBranch) {
+        return;
+      }
+      const { vnode: vnode2, activeBranch, parentComponent: parentComponent2, container: container2, namespace: namespace2 } = suspense;
+      triggerEvent(vnode2, "onFallback");
+      const anchor2 = next2(activeBranch);
+      const mountFallback = /* @__PURE__ */ __name(() => {
+        if (!suspense.isInFallback) {
+          return;
+        }
+        patch(
+          null,
+          fallbackVNode,
+          container2,
+          anchor2,
+          parentComponent2,
+          null,
+          // fallback tree will not have suspense context
+          namespace2,
+          slotScopeIds,
+          optimized
+        );
+        setActiveBranch(suspense, fallbackVNode);
+      }, "mountFallback");
+      const delayEnter = fallbackVNode.transition && fallbackVNode.transition.mode === "out-in";
+      if (delayEnter) {
+        activeBranch.transition.afterLeave = mountFallback;
+      }
+      suspense.isInFallback = true;
+      unmount(
+        activeBranch,
+        parentComponent2,
+        null,
+        // no suspense so unmount hooks fire now
+        true
+        // shouldRemove
+      );
+      if (!delayEnter) {
+        mountFallback();
+      }
+    },
+    move(container2, anchor2, type) {
+      suspense.activeBranch && move(suspense.activeBranch, container2, anchor2, type);
+      suspense.container = container2;
+    },
+    next() {
+      return suspense.activeBranch && next2(suspense.activeBranch);
+    },
+    registerDep(instance, setupRenderEffect, optimized2) {
+      const isInPendingSuspense = !!suspense.pendingBranch;
+      if (isInPendingSuspense) {
+        suspense.deps++;
+      }
+      const hydratedEl = instance.vnode.el;
+      instance.asyncDep.catch((err) => {
+        handleError(err, instance, 0);
+      }).then((asyncSetupResult) => {
+        if (instance.isUnmounted || suspense.isUnmounted || suspense.pendingId !== instance.suspenseId) {
+          return;
+        }
+        instance.asyncResolved = true;
+        const { vnode: vnode2 } = instance;
+        if (false) {
+          pushWarningContext(vnode2);
+        }
+        handleSetupResult(instance, asyncSetupResult, false);
+        if (hydratedEl) {
+          vnode2.el = hydratedEl;
+        }
+        const placeholder = !hydratedEl && instance.subTree.el;
+        setupRenderEffect(
+          instance,
+          vnode2,
+          // component may have been moved before resolve.
+          // if this is not a hydration, instance.subTree will be the comment
+          // placeholder.
+          parentNode(hydratedEl || instance.subTree.el),
+          // anchor will not be used if this is hydration, so only need to
+          // consider the comment placeholder case.
+          hydratedEl ? null : next2(instance.subTree),
+          suspense,
+          namespace,
+          optimized2
+        );
+        if (placeholder) {
+          remove22(placeholder);
+        }
+        updateHOCHostEl(instance, vnode2.el);
+        if (false) {
+          popWarningContext();
+        }
+        if (isInPendingSuspense && --suspense.deps === 0) {
+          suspense.resolve();
+        }
+      });
+    },
+    unmount(parentSuspense2, doRemove) {
+      suspense.isUnmounted = true;
+      if (suspense.activeBranch) {
+        unmount(
+          suspense.activeBranch,
+          parentComponent,
+          parentSuspense2,
+          doRemove
+        );
+      }
+      if (suspense.pendingBranch) {
+        unmount(
+          suspense.pendingBranch,
+          parentComponent,
+          parentSuspense2,
+          doRemove
+        );
+      }
+    }
+  };
+  return suspense;
+}
+__name(createSuspenseBoundary, "createSuspenseBoundary");
+function hydrateSuspense(node3, vnode, parentComponent, parentSuspense, namespace, slotScopeIds, optimized, rendererInternals, hydrateNode) {
+  const suspense = vnode.suspense = createSuspenseBoundary(
+    vnode,
+    parentSuspense,
+    parentComponent,
+    node3.parentNode,
+    // eslint-disable-next-line no-restricted-globals
+    document.createElement("div"),
+    null,
+    namespace,
+    slotScopeIds,
+    optimized,
+    rendererInternals,
+    true
+  );
+  const result = hydrateNode(
+    node3,
+    suspense.pendingBranch = vnode.ssContent,
+    parentComponent,
+    suspense,
+    slotScopeIds,
+    optimized
+  );
+  if (suspense.deps === 0) {
+    suspense.resolve(false, true);
+  }
+  return result;
+}
+__name(hydrateSuspense, "hydrateSuspense");
+function normalizeSuspenseChildren(vnode) {
+  const { shapeFlag, children } = vnode;
+  const isSlotChildren = shapeFlag & 32;
+  vnode.ssContent = normalizeSuspenseSlot(
+    isSlotChildren ? children.default : children
+  );
+  vnode.ssFallback = isSlotChildren ? normalizeSuspenseSlot(children.fallback) : createVNode(Comment);
+}
+__name(normalizeSuspenseChildren, "normalizeSuspenseChildren");
+function normalizeSuspenseSlot(s) {
+  let block2;
+  if (isFunction$4(s)) {
+    const trackBlock = isBlockTreeEnabled && s._c;
+    if (trackBlock) {
+      s._d = false;
+      openBlock();
+    }
+    s = s();
+    if (trackBlock) {
+      s._d = true;
+      block2 = currentBlock;
+      closeBlock();
+    }
+  }
+  if (isArray$4(s)) {
+    const singleChild = filterSingleRoot(s);
+    if (false) {
+      warn$1(`<Suspense> slots expect a single root node.`);
+    }
+    s = singleChild;
+  }
+  s = normalizeVNode(s);
+  if (block2 && !s.dynamicChildren) {
+    s.dynamicChildren = block2.filter((c) => c !== s);
+  }
+  return s;
+}
+__name(normalizeSuspenseSlot, "normalizeSuspenseSlot");
+function queueEffectWithSuspense(fn, suspense) {
+  if (suspense && suspense.pendingBranch) {
+    if (isArray$4(fn)) {
+      suspense.effects.push(...fn);
+    } else {
+      suspense.effects.push(fn);
+    }
+  } else {
+    queuePostFlushCb(fn);
+  }
+}
+__name(queueEffectWithSuspense, "queueEffectWithSuspense");
+function setActiveBranch(suspense, branch) {
+  suspense.activeBranch = branch;
+  const { vnode, parentComponent } = suspense;
+  let el = branch.el;
+  while (!el && branch.component) {
+    branch = branch.component.subTree;
+    el = branch.el;
+  }
+  vnode.el = el;
+  if (parentComponent && parentComponent.subTree === vnode) {
+    parentComponent.vnode.el = el;
+    updateHOCHostEl(parentComponent, el);
+  }
+}
+__name(setActiveBranch, "setActiveBranch");
+function isVNodeSuspensible(vnode) {
+  const suspensible = vnode.props && vnode.props.suspensible;
+  return suspensible != null && suspensible !== false;
+}
+__name(isVNodeSuspensible, "isVNodeSuspensible");
+function injectHook(type, hook, target = currentInstance, prepend = false) {
+  if (target) {
+    const hooks = target[type] || (target[type] = []);
+    const wrappedHook = hook.__weh || (hook.__weh = (...args) => {
+      pauseTracking();
+      const reset = setCurrentInstance(target);
+      const res = callWithAsyncErrorHandling(hook, target, type, args);
+      reset();
+      resetTracking();
+      return res;
+    });
+    if (prepend) {
+      hooks.unshift(wrappedHook);
+    } else {
+      hooks.push(wrappedHook);
+    }
+    return wrappedHook;
+  } else if (false) {
+    const apiName = toHandlerKey(ErrorTypeStrings$1[type].replace(/ hook$/, ""));
+    warn$1(
+      `${apiName} is called when there is no active component instance to be associated with. Lifecycle injection APIs can only be used during execution of setup(). If you are using async setup(), make sure to register lifecycle hooks before the first await statement.`
+    );
+  }
+}
+__name(injectHook, "injectHook");
+const createHook = /* @__PURE__ */ __name((lifecycle2) => (hook, target = currentInstance) => {
+  if (!isInSSRComponentSetup || lifecycle2 === "sp") {
+    injectHook(lifecycle2, (...args) => hook(...args), target);
+  }
+}, "createHook");
+const onBeforeMount = createHook("bm");
+const onMounted = createHook("m");
+const onBeforeUpdate = createHook("bu");
+const onUpdated = createHook("u");
+const onBeforeUnmount = createHook("bum");
+const onUnmounted = createHook("um");
+const onServerPrefetch = createHook("sp");
+const onRenderTriggered = createHook(
+  "rtg"
+);
+const onRenderTracked = createHook(
+  "rtc"
+);
+function onErrorCaptured(hook, target = currentInstance) {
+  injectHook("ec", hook, target);
+}
+__name(onErrorCaptured, "onErrorCaptured");
+function validateDirectiveName(name) {
+  if (isBuiltInDirective(name)) {
+    warn$1("Do not use built-in directive ids as custom directive id: " + name);
+  }
+}
+__name(validateDirectiveName, "validateDirectiveName");
+function withDirectives(vnode, directives) {
+  if (currentRenderingInstance === null) {
+    return vnode;
+  }
+  const instance = getComponentPublicInstance(currentRenderingInstance);
+  const bindings = vnode.dirs || (vnode.dirs = []);
+  for (let i2 = 0; i2 < directives.length; i2++) {
+    let [dir, value3, arg, modifiers = EMPTY_OBJ] = directives[i2];
+    if (dir) {
+      if (isFunction$4(dir)) {
+        dir = {
+          mounted: dir,
+          updated: dir
+        };
+      }
+      if (dir.deep) {
+        traverse(value3);
+      }
+      bindings.push({
+        dir,
+        instance,
+        value: value3,
+        oldValue: void 0,
+        arg,
+        modifiers
+      });
+    }
+  }
+  return vnode;
+}
+__name(withDirectives, "withDirectives");
+function invokeDirectiveHook(vnode, prevVNode, instance, name) {
+  const bindings = vnode.dirs;
+  const oldBindings = prevVNode && prevVNode.dirs;
+  for (let i2 = 0; i2 < bindings.length; i2++) {
+    const binding = bindings[i2];
+    if (oldBindings) {
+      binding.oldValue = oldBindings[i2].value;
+    }
+    let hook = binding.dir[name];
+    if (hook) {
+      pauseTracking();
+      callWithAsyncErrorHandling(hook, instance, 8, [
+        vnode.el,
+        binding,
+        vnode,
+        prevVNode
+      ]);
+      resetTracking();
+    }
+  }
+}
+__name(invokeDirectiveHook, "invokeDirectiveHook");
+function renderList(source, renderItem, cache2, index2) {
+  let ret;
+  const cached = cache2 && cache2[index2];
+  if (isArray$4(source) || isString$5(source)) {
+    ret = new Array(source.length);
+    for (let i2 = 0, l = source.length; i2 < l; i2++) {
+      ret[i2] = renderItem(source[i2], i2, void 0, cached && cached[i2]);
+    }
+  } else if (typeof source === "number") {
+    if (false) {
+      warn$1(`The v-for range expect an integer value but got ${source}.`);
+    }
+    ret = new Array(source);
+    for (let i2 = 0; i2 < source; i2++) {
+      ret[i2] = renderItem(i2 + 1, i2, void 0, cached && cached[i2]);
+    }
+  } else if (isObject$6(source)) {
+    if (source[Symbol.iterator]) {
+      ret = Array.from(
+        source,
+        (item2, i2) => renderItem(item2, i2, void 0, cached && cached[i2])
+      );
+    } else {
+      const keys2 = Object.keys(source);
+      ret = new Array(keys2.length);
+      for (let i2 = 0, l = keys2.length; i2 < l; i2++) {
+        const key = keys2[i2];
+        ret[i2] = renderItem(source[key], key, i2, cached && cached[i2]);
+      }
+    }
+  } else {
+    ret = [];
+  }
+  if (cache2) {
+    cache2[index2] = ret;
+  }
+  return ret;
+}
+__name(renderList, "renderList");
+function createSlots(slots, dynamicSlots) {
+  for (let i2 = 0; i2 < dynamicSlots.length; i2++) {
+    const slot = dynamicSlots[i2];
+    if (isArray$4(slot)) {
+      for (let j = 0; j < slot.length; j++) {
+        slots[slot[j].name] = slot[j].fn;
+      }
+    } else if (slot) {
+      slots[slot.name] = slot.key ? (...args) => {
+        const res = slot.fn(...args);
+        if (res) res.key = slot.key;
+        return res;
+      } : slot.fn;
+    }
+  }
+  return slots;
+}
+__name(createSlots, "createSlots");
+/*! #__NO_SIDE_EFFECTS__ */
+// @__NO_SIDE_EFFECTS__
+function defineComponent(options3, extraOptions) {
+  return isFunction$4(options3) ? (
+    // #8326: extend call and options.name access are considered side-effects
+    // by Rollup, so we have to wrap it in a pure-annotated IIFE.
+    /* @__PURE__ */ (() => extend$1({ name: options3.name }, extraOptions, { setup: options3 }))()
+  ) : options3;
+}
+__name(defineComponent, "defineComponent");
+const isAsyncWrapper = /* @__PURE__ */ __name((i2) => !!i2.type.__asyncLoader, "isAsyncWrapper");
+/*! #__NO_SIDE_EFFECTS__ */
+// @__NO_SIDE_EFFECTS__
+function defineAsyncComponent(source) {
+  if (isFunction$4(source)) {
+    source = { loader: source };
+  }
+  const {
+    loader,
+    loadingComponent,
+    errorComponent,
+    delay = 200,
+    timeout,
+    // undefined = never times out
+    suspensible = true,
+    onError: userOnError
+  } = source;
+  let pendingRequest = null;
+  let resolvedComp;
+  let retries = 0;
+  const retry = /* @__PURE__ */ __name(() => {
+    retries++;
+    pendingRequest = null;
+    return load2();
+  }, "retry");
+  const load2 = /* @__PURE__ */ __name(() => {
+    let thisRequest;
+    return pendingRequest || (thisRequest = pendingRequest = loader().catch((err) => {
+      err = err instanceof Error ? err : new Error(String(err));
+      if (userOnError) {
+        return new Promise((resolve22, reject2) => {
+          const userRetry = /* @__PURE__ */ __name(() => resolve22(retry()), "userRetry");
+          const userFail = /* @__PURE__ */ __name(() => reject2(err), "userFail");
+          userOnError(err, userRetry, userFail, retries + 1);
+        });
+      } else {
+        throw err;
+      }
+    }).then((comp) => {
+      if (thisRequest !== pendingRequest && pendingRequest) {
+        return pendingRequest;
+      }
+      if (false) {
+        warn$1(
+          `Async component loader resolved to undefined. If you are using retry(), make sure to return its return value.`
+        );
+      }
+      if (comp && (comp.__esModule || comp[Symbol.toStringTag] === "Module")) {
+        comp = comp.default;
+      }
+      if (false) {
+        throw new Error(`Invalid async component load result: ${comp}`);
+      }
+      resolvedComp = comp;
+      return comp;
+    }));
+  }, "load");
+  return /* @__PURE__ */ defineComponent({
+    name: "AsyncComponentWrapper",
+    __asyncLoader: load2,
+    get __asyncResolved() {
+      return resolvedComp;
+    },
+    setup() {
+      const instance = currentInstance;
+      if (resolvedComp) {
+        return () => createInnerComp(resolvedComp, instance);
+      }
+      const onError = /* @__PURE__ */ __name((err) => {
+        pendingRequest = null;
+        handleError(
+          err,
+          instance,
+          13,
+          !errorComponent
+        );
+      }, "onError");
+      if (suspensible && instance.suspense || isInSSRComponentSetup) {
+        return load2().then((comp) => {
+          return () => createInnerComp(comp, instance);
+        }).catch((err) => {
+          onError(err);
+          return () => errorComponent ? createVNode(errorComponent, {
+            error: err
+          }) : null;
+        });
+      }
+      const loaded = ref(false);
+      const error = ref();
+      const delayed = ref(!!delay);
+      if (delay) {
+        setTimeout(() => {
+          delayed.value = false;
+        }, delay);
+      }
+      if (timeout != null) {
+        setTimeout(() => {
+          if (!loaded.value && !error.value) {
+            const err = new Error(
+              `Async component timed out after ${timeout}ms.`
+            );
+            onError(err);
+            error.value = err;
+          }
+        }, timeout);
+      }
+      load2().then(() => {
+        loaded.value = true;
+        if (instance.parent && isKeepAlive(instance.parent.vnode)) {
+          instance.parent.effect.dirty = true;
+          queueJob(instance.parent.update);
+        }
+      }).catch((err) => {
+        onError(err);
+        error.value = err;
+      });
+      return () => {
+        if (loaded.value && resolvedComp) {
+          return createInnerComp(resolvedComp, instance);
+        } else if (error.value && errorComponent) {
+          return createVNode(errorComponent, {
+            error: error.value
+          });
+        } else if (loadingComponent && !delayed.value) {
+          return createVNode(loadingComponent);
+        }
+      };
+    }
+  });
+}
+__name(defineAsyncComponent, "defineAsyncComponent");
+function createInnerComp(comp, parent) {
+  const { ref: ref22, props, children, ce } = parent.vnode;
+  const vnode = createVNode(comp, props, children);
+  vnode.ref = ref22;
+  vnode.ce = ce;
+  delete parent.vnode.ce;
+  return vnode;
+}
+__name(createInnerComp, "createInnerComp");
+function renderSlot(slots, name, props = {}, fallback, noSlotted) {
+  if (currentRenderingInstance.isCE || currentRenderingInstance.parent && isAsyncWrapper(currentRenderingInstance.parent) && currentRenderingInstance.parent.isCE) {
+    if (name !== "default") props.name = name;
+    return createVNode("slot", props, fallback && fallback());
+  }
+  let slot = slots[name];
+  if (false) {
+    warn$1(
+      `SSR-optimized slot function detected in a non-SSR-optimized render function. You need to mark this component with $dynamic-slots in the parent template.`
+    );
+    slot = /* @__PURE__ */ __name(() => [], "slot");
+  }
+  if (slot && slot._c) {
+    slot._d = false;
+  }
+  openBlock();
+  const validSlotContent = slot && ensureValidVNode(slot(props));
+  const rendered = createBlock(
+    Fragment,
+    {
+      key: props.key || // slot content array of a dynamic conditional slot may have a branch
+      // key attached in the `createSlots` helper, respect that
+      validSlotContent && validSlotContent.key || `_${name}`
+    },
+    validSlotContent || (fallback ? fallback() : []),
+    validSlotContent && slots._ === 1 ? 64 : -2
+  );
+  if (!noSlotted && rendered.scopeId) {
+    rendered.slotScopeIds = [rendered.scopeId + "-s"];
+  }
+  if (slot && slot._c) {
+    slot._d = true;
+  }
+  return rendered;
+}
+__name(renderSlot, "renderSlot");
+function ensureValidVNode(vnodes) {
+  return vnodes.some((child) => {
+    if (!isVNode$1(child)) return true;
+    if (child.type === Comment) return false;
+    if (child.type === Fragment && !ensureValidVNode(child.children))
+      return false;
+    return true;
+  }) ? vnodes : null;
+}
+__name(ensureValidVNode, "ensureValidVNode");
+function toHandlers(obj, preserveCaseIfNecessary) {
+  const ret = {};
+  if (false) {
+    warn$1(`v-on with no argument expects an object value.`);
+    return ret;
+  }
+  for (const key in obj) {
+    ret[preserveCaseIfNecessary && /[A-Z]/.test(key) ? `on:${key}` : toHandlerKey(key)] = obj[key];
+  }
+  return ret;
+}
+__name(toHandlers, "toHandlers");
+const getPublicInstance = /* @__PURE__ */ __name((i2) => {
+  if (!i2) return null;
+  if (isStatefulComponent(i2)) return getComponentPublicInstance(i2);
+  return getPublicInstance(i2.parent);
+}, "getPublicInstance");
+const publicPropertiesMap = (
+  // Move PURE marker to new line to workaround compiler discarding it
+  // due to type annotation
+  /* @__PURE__ */ extend$1(/* @__PURE__ */ Object.create(null), {
+    $: /* @__PURE__ */ __name((i2) => i2, "$"),
+    $el: /* @__PURE__ */ __name((i2) => i2.vnode.el, "$el"),
+    $data: /* @__PURE__ */ __name((i2) => i2.data, "$data"),
+    $props: /* @__PURE__ */ __name((i2) => false ? shallowReadonly(i2.props) : i2.props, "$props"),
+    $attrs: /* @__PURE__ */ __name((i2) => false ? shallowReadonly(i2.attrs) : i2.attrs, "$attrs"),
+    $slots: /* @__PURE__ */ __name((i2) => false ? shallowReadonly(i2.slots) : i2.slots, "$slots"),
+    $refs: /* @__PURE__ */ __name((i2) => false ? shallowReadonly(i2.refs) : i2.refs, "$refs"),
+    $parent: /* @__PURE__ */ __name((i2) => getPublicInstance(i2.parent), "$parent"),
+    $root: /* @__PURE__ */ __name((i2) => getPublicInstance(i2.root), "$root"),
+    $emit: /* @__PURE__ */ __name((i2) => i2.emit, "$emit"),
+    $options: /* @__PURE__ */ __name((i2) => true ? resolveMergedOptions(i2) : i2.type, "$options"),
+    $forceUpdate: /* @__PURE__ */ __name((i2) => i2.f || (i2.f = () => {
+      i2.effect.dirty = true;
+      queueJob(i2.update);
+    }), "$forceUpdate"),
+    $nextTick: /* @__PURE__ */ __name((i2) => i2.n || (i2.n = nextTick.bind(i2.proxy)), "$nextTick"),
+    $watch: /* @__PURE__ */ __name((i2) => true ? instanceWatch.bind(i2) : NOOP, "$watch")
+  })
+);
+const isReservedPrefix = /* @__PURE__ */ __name((key) => key === "_" || key === "$", "isReservedPrefix");
+const hasSetupBinding = /* @__PURE__ */ __name((state, key) => state !== EMPTY_OBJ && !state.__isScriptSetup && hasOwn$3(state, key), "hasSetupBinding");
+const PublicInstanceProxyHandlers = {
+  get({ _: instance }, key) {
+    if (key === "__v_skip") {
+      return true;
+    }
+    const { ctx, setupState, data: data24, props, accessCache, type, appContext } = instance;
+    if (false) {
+      return true;
+    }
+    let normalizedProps;
+    if (key[0] !== "$") {
+      const n = accessCache[key];
+      if (n !== void 0) {
+        switch (n) {
+          case 1:
+            return setupState[key];
+          case 2:
+            return data24[key];
+          case 4:
+            return ctx[key];
+          case 3:
+            return props[key];
+        }
+      } else if (hasSetupBinding(setupState, key)) {
+        accessCache[key] = 1;
+        return setupState[key];
+      } else if (data24 !== EMPTY_OBJ && hasOwn$3(data24, key)) {
+        accessCache[key] = 2;
+        return data24[key];
+      } else if (
+        // only cache other properties when instance has declared (thus stable)
+        // props
+        (normalizedProps = instance.propsOptions[0]) && hasOwn$3(normalizedProps, key)
+      ) {
+        accessCache[key] = 3;
+        return props[key];
+      } else if (ctx !== EMPTY_OBJ && hasOwn$3(ctx, key)) {
+        accessCache[key] = 4;
+        return ctx[key];
+      } else if (shouldCacheAccess) {
+        accessCache[key] = 0;
+      }
+    }
+    const publicGetter = publicPropertiesMap[key];
+    let cssModule, globalProperties;
+    if (publicGetter) {
+      if (key === "$attrs") {
+        track(instance.attrs, "get", "");
+      } else if (false) {
+        track(instance, "get", key);
+      }
+      return publicGetter(instance);
+    } else if (
+      // css module (injected by vue-loader)
+      (cssModule = type.__cssModules) && (cssModule = cssModule[key])
+    ) {
+      return cssModule;
+    } else if (ctx !== EMPTY_OBJ && hasOwn$3(ctx, key)) {
+      accessCache[key] = 4;
+      return ctx[key];
+    } else if (
+      // global properties
+      globalProperties = appContext.config.globalProperties, hasOwn$3(globalProperties, key)
+    ) {
+      {
+        return globalProperties[key];
+      }
+    } else if (false) {
+      if (data24 !== EMPTY_OBJ && isReservedPrefix(key[0]) && hasOwn$3(data24, key)) {
+        warn$1(
+          `Property ${JSON.stringify(
+            key
+          )} must be accessed via $data because it starts with a reserved character ("$" or "_") and is not proxied on the render context.`
+        );
+      } else if (instance === currentRenderingInstance) {
+        warn$1(
+          `Property ${JSON.stringify(key)} was accessed during render but is not defined on instance.`
+        );
+      }
+    }
+  },
+  set({ _: instance }, key, value3) {
+    const { data: data24, setupState, ctx } = instance;
+    if (hasSetupBinding(setupState, key)) {
+      setupState[key] = value3;
+      return true;
+    } else if (false) {
+      warn$1(`Cannot mutate <script setup> binding "${key}" from Options API.`);
+      return false;
+    } else if (data24 !== EMPTY_OBJ && hasOwn$3(data24, key)) {
+      data24[key] = value3;
+      return true;
+    } else if (hasOwn$3(instance.props, key)) {
+      return false;
+    }
+    if (key[0] === "$" && key.slice(1) in instance) {
+      return false;
+    } else {
+      if (false) {
+        Object.defineProperty(ctx, key, {
+          enumerable: true,
+          configurable: true,
+          value: value3
+        });
+      } else {
+        ctx[key] = value3;
+      }
+    }
+    return true;
+  },
+  has({
+    _: { data: data24, setupState, accessCache, ctx, appContext, propsOptions }
+  }, key) {
+    let normalizedProps;
+    return !!accessCache[key] || data24 !== EMPTY_OBJ && hasOwn$3(data24, key) || hasSetupBinding(setupState, key) || (normalizedProps = propsOptions[0]) && hasOwn$3(normalizedProps, key) || hasOwn$3(ctx, key) || hasOwn$3(publicPropertiesMap, key) || hasOwn$3(appContext.config.globalProperties, key);
+  },
+  defineProperty(target, key, descriptor) {
+    if (descriptor.get != null) {
+      target._.accessCache[key] = 0;
+    } else if (hasOwn$3(descriptor, "value")) {
+      this.set(target, key, descriptor.value, null);
+    }
+    return Reflect.defineProperty(target, key, descriptor);
+  }
+};
+if (false) {
+  PublicInstanceProxyHandlers.ownKeys = (target) => {
+    warn$1(
+      `Avoid app logic that relies on enumerating keys on a component instance. The keys will be empty in production mode to avoid performance overhead.`
+    );
+    return Reflect.ownKeys(target);
+  };
+}
+const RuntimeCompiledPublicInstanceProxyHandlers = /* @__PURE__ */ extend$1(
+  {},
+  PublicInstanceProxyHandlers,
+  {
+    get(target, key) {
+      if (key === Symbol.unscopables) {
+        return;
+      }
+      return PublicInstanceProxyHandlers.get(target, key, target);
+    },
+    has(_2, key) {
+      const has2 = key[0] !== "_" && !isGloballyAllowed(key);
+      if (false) {
+        warn$1(
+          `Property ${JSON.stringify(
+            key
+          )} should not start with _ which is a reserved prefix for Vue internals.`
+        );
+      }
+      return has2;
+    }
+  }
+);
+function createDevRenderContext(instance) {
+  const target = {};
+  Object.defineProperty(target, `_`, {
+    configurable: true,
+    enumerable: false,
+    get: /* @__PURE__ */ __name(() => instance, "get")
+  });
+  Object.keys(publicPropertiesMap).forEach((key) => {
+    Object.defineProperty(target, key, {
+      configurable: true,
+      enumerable: false,
+      get: /* @__PURE__ */ __name(() => publicPropertiesMap[key](instance), "get"),
+      // intercepted by the proxy so no need for implementation,
+      // but needed to prevent set errors
+      set: NOOP
+    });
+  });
+  return target;
+}
+__name(createDevRenderContext, "createDevRenderContext");
+function exposePropsOnRenderContext(instance) {
+  const {
+    ctx,
+    propsOptions: [propsOptions]
+  } = instance;
+  if (propsOptions) {
+    Object.keys(propsOptions).forEach((key) => {
+      Object.defineProperty(ctx, key, {
+        enumerable: true,
+        configurable: true,
+        get: /* @__PURE__ */ __name(() => instance.props[key], "get"),
+        set: NOOP
+      });
+    });
+  }
+}
+__name(exposePropsOnRenderContext, "exposePropsOnRenderContext");
+function exposeSetupStateOnRenderContext(instance) {
+  const { ctx, setupState } = instance;
+  Object.keys(toRaw(setupState)).forEach((key) => {
+    if (!setupState.__isScriptSetup) {
+      if (isReservedPrefix(key[0])) {
+        warn$1(
+          `setup() return property ${JSON.stringify(
+            key
+          )} should not start with "$" or "_" which are reserved prefixes for Vue internals.`
+        );
+        return;
+      }
+      Object.defineProperty(ctx, key, {
+        enumerable: true,
+        configurable: true,
+        get: /* @__PURE__ */ __name(() => setupState[key], "get"),
+        set: NOOP
+      });
+    }
+  });
+}
+__name(exposeSetupStateOnRenderContext, "exposeSetupStateOnRenderContext");
+const warnRuntimeUsage = /* @__PURE__ */ __name((method) => warn$1(
+  `${method}() is a compiler-hint helper that is only usable inside <script setup> of a single file component. Its arguments should be compiled away and passing it at runtime has no effect.`
+), "warnRuntimeUsage");
+function defineProps() {
+  if (false) {
+    warnRuntimeUsage(`defineProps`);
+  }
+  return null;
+}
+__name(defineProps, "defineProps");
+function defineEmits() {
+  if (false) {
+    warnRuntimeUsage(`defineEmits`);
+  }
+  return null;
+}
+__name(defineEmits, "defineEmits");
+function defineExpose(exposed) {
+  if (false) {
+    warnRuntimeUsage(`defineExpose`);
+  }
+}
+__name(defineExpose, "defineExpose");
+function defineOptions(options3) {
+  if (false) {
+    warnRuntimeUsage(`defineOptions`);
+  }
+}
+__name(defineOptions, "defineOptions");
+function defineSlots() {
+  if (false) {
+    warnRuntimeUsage(`defineSlots`);
+  }
+  return null;
+}
+__name(defineSlots, "defineSlots");
+function defineModel() {
+  if (false) {
+    warnRuntimeUsage("defineModel");
+  }
+}
+__name(defineModel, "defineModel");
+function withDefaults(props, defaults2) {
+  if (false) {
+    warnRuntimeUsage(`withDefaults`);
+  }
+  return null;
+}
+__name(withDefaults, "withDefaults");
+function useSlots() {
+  return getContext().slots;
+}
+__name(useSlots, "useSlots");
+function useAttrs() {
+  return getContext().attrs;
+}
+__name(useAttrs, "useAttrs");
+function getContext() {
+  const i2 = getCurrentInstance();
+  if (false) {
+    warn$1(`useContext() called without active instance.`);
+  }
+  return i2.setupContext || (i2.setupContext = createSetupContext(i2));
+}
+__name(getContext, "getContext");
+function normalizePropsOrEmits(props) {
+  return isArray$4(props) ? props.reduce(
+    (normalized, p2) => (normalized[p2] = null, normalized),
+    {}
+  ) : props;
+}
+__name(normalizePropsOrEmits, "normalizePropsOrEmits");
+function mergeDefaults(raw, defaults2) {
+  const props = normalizePropsOrEmits(raw);
+  for (const key in defaults2) {
+    if (key.startsWith("__skip")) continue;
+    let opt = props[key];
+    if (opt) {
+      if (isArray$4(opt) || isFunction$4(opt)) {
+        opt = props[key] = { type: opt, default: defaults2[key] };
+      } else {
+        opt.default = defaults2[key];
+      }
+    } else if (opt === null) {
+      opt = props[key] = { default: defaults2[key] };
+    } else if (false) {
+      warn$1(`props default key "${key}" has no corresponding declaration.`);
+    }
+    if (opt && defaults2[`__skip_${key}`]) {
+      opt.skipFactory = true;
+    }
+  }
+  return props;
+}
+__name(mergeDefaults, "mergeDefaults");
+function mergeModels(a, b) {
+  if (!a || !b) return a || b;
+  if (isArray$4(a) && isArray$4(b)) return a.concat(b);
+  return extend$1({}, normalizePropsOrEmits(a), normalizePropsOrEmits(b));
+}
+__name(mergeModels, "mergeModels");
+function createPropsRestProxy(props, excludedKeys) {
+  const ret = {};
+  for (const key in props) {
+    if (!excludedKeys.includes(key)) {
+      Object.defineProperty(ret, key, {
+        enumerable: true,
+        get: /* @__PURE__ */ __name(() => props[key], "get")
+      });
+    }
+  }
+  return ret;
+}
+__name(createPropsRestProxy, "createPropsRestProxy");
+function withAsyncContext(getAwaitable) {
+  const ctx = getCurrentInstance();
+  if (false) {
+    warn$1(
+      `withAsyncContext called without active current instance. This is likely a bug.`
+    );
+  }
+  let awaitable = getAwaitable();
+  unsetCurrentInstance();
+  if (isPromise$2(awaitable)) {
+    awaitable = awaitable.catch((e) => {
+      setCurrentInstance(ctx);
+      throw e;
+    });
+  }
+  return [awaitable, () => setCurrentInstance(ctx)];
+}
+__name(withAsyncContext, "withAsyncContext");
+function createDuplicateChecker() {
+  const cache2 = /* @__PURE__ */ Object.create(null);
+  return (type, key) => {
+    if (cache2[key]) {
+      warn$1(`${type} property "${key}" is already defined in ${cache2[key]}.`);
+    } else {
+      cache2[key] = type;
+    }
+  };
+}
+__name(createDuplicateChecker, "createDuplicateChecker");
+let shouldCacheAccess = true;
+function applyOptions(instance) {
+  const options3 = resolveMergedOptions(instance);
+  const publicThis = instance.proxy;
+  const ctx = instance.ctx;
+  shouldCacheAccess = false;
+  if (options3.beforeCreate) {
+    callHook$1(options3.beforeCreate, instance, "bc");
+  }
+  const {
+    // state
+    data: dataOptions,
+    computed: computedOptions,
+    methods,
+    watch: watchOptions,
+    provide: provideOptions,
+    inject: injectOptions,
+    // lifecycle
+    created: created3,
+    beforeMount: beforeMount4,
+    mounted: mounted23,
+    beforeUpdate: beforeUpdate2,
+    updated: updated12,
+    activated,
+    deactivated,
+    beforeDestroy,
+    beforeUnmount: beforeUnmount17,
+    destroyed,
+    unmounted: unmounted6,
+    render: render2,
+    renderTracked,
+    renderTriggered,
+    errorCaptured,
+    serverPrefetch,
+    // public API
+    expose,
+    inheritAttrs,
+    // assets
+    components,
+    directives,
+    filters
+  } = options3;
+  const checkDuplicateProperties = false ? createDuplicateChecker() : null;
+  if (false) {
+    const [propsOptions] = instance.propsOptions;
+    if (propsOptions) {
+      for (const key in propsOptions) {
+        checkDuplicateProperties("Props", key);
+      }
+    }
+  }
+  if (injectOptions) {
+    resolveInjections(injectOptions, ctx, checkDuplicateProperties);
+  }
+  if (methods) {
+    for (const key in methods) {
+      const methodHandler = methods[key];
+      if (isFunction$4(methodHandler)) {
+        if (false) {
+          Object.defineProperty(ctx, key, {
+            value: methodHandler.bind(publicThis),
+            configurable: true,
+            enumerable: true,
+            writable: true
+          });
+        } else {
+          ctx[key] = methodHandler.bind(publicThis);
+        }
+        if (false) {
+          checkDuplicateProperties("Methods", key);
+        }
+      } else if (false) {
+        warn$1(
+          `Method "${key}" has type "${typeof methodHandler}" in the component definition. Did you reference the function correctly?`
+        );
+      }
+    }
+  }
+  if (dataOptions) {
+    if (false) {
+      warn$1(
+        `The data option must be a function. Plain object usage is no longer supported.`
+      );
+    }
+    const data24 = dataOptions.call(publicThis, publicThis);
+    if (false) {
+      warn$1(
+        `data() returned a Promise - note data() cannot be async; If you intend to perform data fetching before component renders, use async setup() + <Suspense>.`
+      );
+    }
+    if (!isObject$6(data24)) {
+    } else {
+      instance.data = reactive(data24);
+      if (false) {
+        for (const key in data24) {
+          checkDuplicateProperties("Data", key);
+          if (!isReservedPrefix(key[0])) {
+            Object.defineProperty(ctx, key, {
+              configurable: true,
+              enumerable: true,
+              get: /* @__PURE__ */ __name(() => data24[key], "get"),
+              set: NOOP
+            });
+          }
+        }
+      }
+    }
+  }
+  shouldCacheAccess = true;
+  if (computedOptions) {
+    for (const key in computedOptions) {
+      const opt = computedOptions[key];
+      const get2 = isFunction$4(opt) ? opt.bind(publicThis, publicThis) : isFunction$4(opt.get) ? opt.get.bind(publicThis, publicThis) : NOOP;
+      if (false) {
+        warn$1(`Computed property "${key}" has no getter.`);
+      }
+      const set2 = !isFunction$4(opt) && isFunction$4(opt.set) ? opt.set.bind(publicThis) : false ? () => {
+        warn$1(
+          `Write operation failed: computed property "${key}" is readonly.`
+        );
+      } : NOOP;
+      const c = computed({
+        get: get2,
+        set: set2
+      });
+      Object.defineProperty(ctx, key, {
+        enumerable: true,
+        configurable: true,
+        get: /* @__PURE__ */ __name(() => c.value, "get"),
+        set: /* @__PURE__ */ __name((v2) => c.value = v2, "set")
+      });
+      if (false) {
+        checkDuplicateProperties("Computed", key);
+      }
+    }
+  }
+  if (watchOptions) {
+    for (const key in watchOptions) {
+      createWatcher(watchOptions[key], ctx, publicThis, key);
+    }
+  }
+  if (provideOptions) {
+    const provides = isFunction$4(provideOptions) ? provideOptions.call(publicThis) : provideOptions;
+    Reflect.ownKeys(provides).forEach((key) => {
+      provide(key, provides[key]);
+    });
+  }
+  if (created3) {
+    callHook$1(created3, instance, "c");
+  }
+  function registerLifecycleHook(register3, hook) {
+    if (isArray$4(hook)) {
+      hook.forEach((_hook3) => register3(_hook3.bind(publicThis)));
+    } else if (hook) {
+      register3(hook.bind(publicThis));
+    }
+  }
+  __name(registerLifecycleHook, "registerLifecycleHook");
+  registerLifecycleHook(onBeforeMount, beforeMount4);
+  registerLifecycleHook(onMounted, mounted23);
+  registerLifecycleHook(onBeforeUpdate, beforeUpdate2);
+  registerLifecycleHook(onUpdated, updated12);
+  registerLifecycleHook(onActivated, activated);
+  registerLifecycleHook(onDeactivated, deactivated);
+  registerLifecycleHook(onErrorCaptured, errorCaptured);
+  registerLifecycleHook(onRenderTracked, renderTracked);
+  registerLifecycleHook(onRenderTriggered, renderTriggered);
+  registerLifecycleHook(onBeforeUnmount, beforeUnmount17);
+  registerLifecycleHook(onUnmounted, unmounted6);
+  registerLifecycleHook(onServerPrefetch, serverPrefetch);
+  if (isArray$4(expose)) {
+    if (expose.length) {
+      const exposed = instance.exposed || (instance.exposed = {});
+      expose.forEach((key) => {
+        Object.defineProperty(exposed, key, {
+          get: /* @__PURE__ */ __name(() => publicThis[key], "get"),
+          set: /* @__PURE__ */ __name((val) => publicThis[key] = val, "set")
+        });
+      });
+    } else if (!instance.exposed) {
+      instance.exposed = {};
+    }
+  }
+  if (render2 && instance.render === NOOP) {
+    instance.render = render2;
+  }
+  if (inheritAttrs != null) {
+    instance.inheritAttrs = inheritAttrs;
+  }
+  if (components) instance.components = components;
+  if (directives) instance.directives = directives;
+}
+__name(applyOptions, "applyOptions");
+function resolveInjections(injectOptions, ctx, checkDuplicateProperties = NOOP) {
+  if (isArray$4(injectOptions)) {
+    injectOptions = normalizeInject(injectOptions);
+  }
+  for (const key in injectOptions) {
+    const opt = injectOptions[key];
+    let injected;
+    if (isObject$6(opt)) {
+      if ("default" in opt) {
+        injected = inject(
+          opt.from || key,
+          opt.default,
+          true
+        );
+      } else {
+        injected = inject(opt.from || key);
+      }
+    } else {
+      injected = inject(opt);
+    }
+    if (isRef(injected)) {
+      Object.defineProperty(ctx, key, {
+        enumerable: true,
+        configurable: true,
+        get: /* @__PURE__ */ __name(() => injected.value, "get"),
+        set: /* @__PURE__ */ __name((v2) => injected.value = v2, "set")
+      });
+    } else {
+      ctx[key] = injected;
+    }
+    if (false) {
+      checkDuplicateProperties("Inject", key);
+    }
+  }
+}
+__name(resolveInjections, "resolveInjections");
+function callHook$1(hook, instance, type) {
+  callWithAsyncErrorHandling(
+    isArray$4(hook) ? hook.map((h2) => h2.bind(instance.proxy)) : hook.bind(instance.proxy),
+    instance,
+    type
+  );
+}
+__name(callHook$1, "callHook$1");
+function createWatcher(raw, ctx, publicThis, key) {
+  const getter = key.includes(".") ? createPathGetter(publicThis, key) : () => publicThis[key];
+  if (isString$5(raw)) {
+    const handler6 = ctx[raw];
+    if (isFunction$4(handler6)) {
+      watch(getter, handler6);
+    } else if (false) {
+      warn$1(`Invalid watch handler specified by key "${raw}"`, handler6);
+    }
+  } else if (isFunction$4(raw)) {
+    watch(getter, raw.bind(publicThis));
+  } else if (isObject$6(raw)) {
+    if (isArray$4(raw)) {
+      raw.forEach((r) => createWatcher(r, ctx, publicThis, key));
+    } else {
+      const handler6 = isFunction$4(raw.handler) ? raw.handler.bind(publicThis) : ctx[raw.handler];
+      if (isFunction$4(handler6)) {
+        watch(getter, handler6, raw);
+      } else if (false) {
+        warn$1(`Invalid watch handler specified by key "${raw.handler}"`, handler6);
+      }
+    }
+  } else if (false) {
+    warn$1(`Invalid watch option: "${key}"`, raw);
+  }
+}
+__name(createWatcher, "createWatcher");
+function resolveMergedOptions(instance) {
+  const base = instance.type;
+  const { mixins, extends: extendsOptions } = base;
+  const {
+    mixins: globalMixins,
+    optionsCache: cache2,
+    config: { optionMergeStrategies }
+  } = instance.appContext;
+  const cached = cache2.get(base);
+  let resolved;
+  if (cached) {
+    resolved = cached;
+  } else if (!globalMixins.length && !mixins && !extendsOptions) {
+    {
+      resolved = base;
+    }
+  } else {
+    resolved = {};
+    if (globalMixins.length) {
+      globalMixins.forEach(
+        (m) => mergeOptions(resolved, m, optionMergeStrategies, true)
+      );
+    }
+    mergeOptions(resolved, base, optionMergeStrategies);
+  }
+  if (isObject$6(base)) {
+    cache2.set(base, resolved);
+  }
+  return resolved;
+}
+__name(resolveMergedOptions, "resolveMergedOptions");
+function mergeOptions(to, from, strats, asMixin = false) {
+  const { mixins, extends: extendsOptions } = from;
+  if (extendsOptions) {
+    mergeOptions(to, extendsOptions, strats, true);
+  }
+  if (mixins) {
+    mixins.forEach(
+      (m) => mergeOptions(to, m, strats, true)
+    );
+  }
+  for (const key in from) {
+    if (asMixin && key === "expose") {
+    } else {
+      const strat = internalOptionMergeStrats[key] || strats && strats[key];
+      to[key] = strat ? strat(to[key], from[key]) : from[key];
+    }
+  }
+  return to;
+}
+__name(mergeOptions, "mergeOptions");
+const internalOptionMergeStrats = {
+  data: mergeDataFn,
+  props: mergeEmitsOrPropsOptions,
+  emits: mergeEmitsOrPropsOptions,
+  // objects
+  methods: mergeObjectOptions,
+  computed: mergeObjectOptions,
+  // lifecycle
+  beforeCreate: mergeAsArray,
+  created: mergeAsArray,
+  beforeMount: mergeAsArray,
+  mounted: mergeAsArray,
+  beforeUpdate: mergeAsArray,
+  updated: mergeAsArray,
+  beforeDestroy: mergeAsArray,
+  beforeUnmount: mergeAsArray,
+  destroyed: mergeAsArray,
+  unmounted: mergeAsArray,
+  activated: mergeAsArray,
+  deactivated: mergeAsArray,
+  errorCaptured: mergeAsArray,
+  serverPrefetch: mergeAsArray,
+  // assets
+  components: mergeObjectOptions,
+  directives: mergeObjectOptions,
+  // watch
+  watch: mergeWatchOptions,
+  // provide / inject
+  provide: mergeDataFn,
+  inject: mergeInject
+};
+function mergeDataFn(to, from) {
+  if (!from) {
+    return to;
+  }
+  if (!to) {
+    return from;
+  }
+  return /* @__PURE__ */ __name(function mergedDataFn() {
+    return extend$1(
+      isFunction$4(to) ? to.call(this, this) : to,
+      isFunction$4(from) ? from.call(this, this) : from
+    );
+  }, "mergedDataFn");
+}
+__name(mergeDataFn, "mergeDataFn");
+function mergeInject(to, from) {
+  return mergeObjectOptions(normalizeInject(to), normalizeInject(from));
+}
+__name(mergeInject, "mergeInject");
+function normalizeInject(raw) {
+  if (isArray$4(raw)) {
+    const res = {};
+    for (let i2 = 0; i2 < raw.length; i2++) {
+      res[raw[i2]] = raw[i2];
+    }
+    return res;
+  }
+  return raw;
+}
+__name(normalizeInject, "normalizeInject");
+function mergeAsArray(to, from) {
+  return to ? [...new Set([].concat(to, from))] : from;
+}
+__name(mergeAsArray, "mergeAsArray");
+function mergeObjectOptions(to, from) {
+  return to ? extend$1(/* @__PURE__ */ Object.create(null), to, from) : from;
+}
+__name(mergeObjectOptions, "mergeObjectOptions");
+function mergeEmitsOrPropsOptions(to, from) {
+  if (to) {
+    if (isArray$4(to) && isArray$4(from)) {
+      return [.../* @__PURE__ */ new Set([...to, ...from])];
+    }
+    return extend$1(
+      /* @__PURE__ */ Object.create(null),
+      normalizePropsOrEmits(to),
+      normalizePropsOrEmits(from != null ? from : {})
+    );
+  } else {
+    return from;
+  }
+}
+__name(mergeEmitsOrPropsOptions, "mergeEmitsOrPropsOptions");
+function mergeWatchOptions(to, from) {
+  if (!to) return from;
+  if (!from) return to;
+  const merged = extend$1(/* @__PURE__ */ Object.create(null), to);
+  for (const key in from) {
+    merged[key] = mergeAsArray(to[key], from[key]);
+  }
+  return merged;
+}
+__name(mergeWatchOptions, "mergeWatchOptions");
+function createAppContext() {
+  return {
+    app: null,
+    config: {
+      isNativeTag: NO,
+      performance: false,
+      globalProperties: {},
+      optionMergeStrategies: {},
+      errorHandler: void 0,
+      warnHandler: void 0,
+      compilerOptions: {}
+    },
+    mixins: [],
+    components: {},
+    directives: {},
+    provides: /* @__PURE__ */ Object.create(null),
+    optionsCache: /* @__PURE__ */ new WeakMap(),
+    propsCache: /* @__PURE__ */ new WeakMap(),
+    emitsCache: /* @__PURE__ */ new WeakMap()
+  };
+}
+__name(createAppContext, "createAppContext");
+let uid$1 = 0;
+function createAppAPI(render2, hydrate2) {
+  return /* @__PURE__ */ __name(function createApp2(rootComponent, rootProps = null) {
+    if (!isFunction$4(rootComponent)) {
+      rootComponent = extend$1({}, rootComponent);
+    }
+    if (rootProps != null && !isObject$6(rootProps)) {
+      rootProps = null;
+    }
+    const context = createAppContext();
+    const installedPlugins = /* @__PURE__ */ new WeakSet();
+    let isMounted = false;
+    const app2 = context.app = {
+      _uid: uid$1++,
+      _component: rootComponent,
+      _props: rootProps,
+      _container: null,
+      _context: context,
+      _instance: null,
+      version,
+      get config() {
+        return context.config;
+      },
+      set config(v2) {
+        if (false) {
+          warn$1(
+            `app.config cannot be replaced. Modify individual options instead.`
+          );
+        }
+      },
+      use(plugin, ...options3) {
+        if (installedPlugins.has(plugin)) {
+        } else if (plugin && isFunction$4(plugin.install)) {
+          installedPlugins.add(plugin);
+          plugin.install(app2, ...options3);
+        } else if (isFunction$4(plugin)) {
+          installedPlugins.add(plugin);
+          plugin(app2, ...options3);
+        } else if (false) {
+          warn$1(
+            `A plugin must either be a function or an object with an "install" function.`
+          );
+        }
+        return app2;
+      },
+      mixin(mixin) {
+        if (true) {
+          if (!context.mixins.includes(mixin)) {
+            context.mixins.push(mixin);
+          } else if (false) {
+            warn$1(
+              "Mixin has already been applied to target app" + (mixin.name ? `: ${mixin.name}` : "")
+            );
+          }
+        } else if (false) {
+          warn$1("Mixins are only available in builds supporting Options API");
+        }
+        return app2;
+      },
+      component(name, component) {
+        if (false) {
+          validateComponentName(name, context.config);
+        }
+        if (!component) {
+          return context.components[name];
+        }
+        if (false) {
+          warn$1(`Component "${name}" has already been registered in target app.`);
+        }
+        context.components[name] = component;
+        return app2;
+      },
+      directive(name, directive) {
+        if (false) {
+          validateDirectiveName(name);
+        }
+        if (!directive) {
+          return context.directives[name];
+        }
+        if (false) {
+          warn$1(`Directive "${name}" has already been registered in target app.`);
+        }
+        context.directives[name] = directive;
+        return app2;
+      },
+      mount(rootContainer, isHydrate, namespace) {
+        if (!isMounted) {
+          if (false) {
+            warn$1(
+              `There is already an app instance mounted on the host container.
+ If you want to mount another app on the same host container, you need to unmount the previous app by calling \`app.unmount()\` first.`
+            );
+          }
+          const vnode = createVNode(rootComponent, rootProps);
+          vnode.appContext = context;
+          if (namespace === true) {
+            namespace = "svg";
+          } else if (namespace === false) {
+            namespace = void 0;
+          }
+          if (false) {
+            context.reload = () => {
+              render2(
+                cloneVNode(vnode),
+                rootContainer,
+                namespace
+              );
+            };
+          }
+          if (isHydrate && hydrate2) {
+            hydrate2(vnode, rootContainer);
+          } else {
+            render2(vnode, rootContainer, namespace);
+          }
+          isMounted = true;
+          app2._container = rootContainer;
+          rootContainer.__vue_app__ = app2;
+          if (false) {
+            app2._instance = vnode.component;
+            devtoolsInitApp(app2, version);
+          }
+          return getComponentPublicInstance(vnode.component);
+        } else if (false) {
+          warn$1(
+            `App has already been mounted.
+If you want to remount the same app, move your app creation logic into a factory function and create fresh app instances for each mount - e.g. \`const createMyApp = () => createApp(App)\``
+          );
+        }
+      },
+      unmount() {
+        if (isMounted) {
+          render2(null, app2._container);
+          if (false) {
+            app2._instance = null;
+            devtoolsUnmountApp(app2);
+          }
+          delete app2._container.__vue_app__;
+        } else if (false) {
+          warn$1(`Cannot unmount an app that is not mounted.`);
+        }
+      },
+      provide(key, value3) {
+        if (false) {
+          warn$1(
+            `App already provides property with key "${String(key)}". It will be overwritten with the new value.`
+          );
+        }
+        context.provides[key] = value3;
+        return app2;
+      },
+      runWithContext(fn) {
+        const lastApp = currentApp;
+        currentApp = app2;
+        try {
+          return fn();
+        } finally {
+          currentApp = lastApp;
+        }
+      }
+    };
+    return app2;
+  }, "createApp");
+}
+__name(createAppAPI, "createAppAPI");
+let currentApp = null;
+function provide(key, value3) {
+  if (!currentInstance) {
+    if (false) {
+      warn$1(`provide() can only be used inside setup().`);
+    }
+  } else {
+    let provides = currentInstance.provides;
+    const parentProvides = currentInstance.parent && currentInstance.parent.provides;
+    if (parentProvides === provides) {
+      provides = currentInstance.provides = Object.create(parentProvides);
+    }
+    provides[key] = value3;
+  }
+}
+__name(provide, "provide");
+function inject(key, defaultValue, treatDefaultAsFactory = false) {
+  const instance = currentInstance || currentRenderingInstance;
+  if (instance || currentApp) {
+    const provides = instance ? instance.parent == null ? instance.vnode.appContext && instance.vnode.appContext.provides : instance.parent.provides : currentApp._context.provides;
+    if (provides && key in provides) {
+      return provides[key];
+    } else if (arguments.length > 1) {
+      return treatDefaultAsFactory && isFunction$4(defaultValue) ? defaultValue.call(instance && instance.proxy) : defaultValue;
+    } else if (false) {
+      warn$1(`injection "${String(key)}" not found.`);
+    }
+  } else if (false) {
+    warn$1(`inject() can only be used inside setup() or functional components.`);
+  }
+}
+__name(inject, "inject");
+function hasInjectionContext() {
+  return !!(currentInstance || currentRenderingInstance || currentApp);
+}
+__name(hasInjectionContext, "hasInjectionContext");
+const internalObjectProto = {};
+const createInternalObject = /* @__PURE__ */ __name(() => Object.create(internalObjectProto), "createInternalObject");
+const isInternalObject = /* @__PURE__ */ __name((obj) => Object.getPrototypeOf(obj) === internalObjectProto, "isInternalObject");
+function initProps(instance, rawProps, isStateful2, isSSR = false) {
+  const props = {};
+  const attrs3 = createInternalObject();
+  instance.propsDefaults = /* @__PURE__ */ Object.create(null);
+  setFullProps(instance, rawProps, props, attrs3);
+  for (const key in instance.propsOptions[0]) {
+    if (!(key in props)) {
+      props[key] = void 0;
+    }
+  }
+  if (false) {
+    validateProps(rawProps || {}, props, instance);
+  }
+  if (isStateful2) {
+    instance.props = isSSR ? props : shallowReactive(props);
+  } else {
+    if (!instance.type.props) {
+      instance.props = attrs3;
+    } else {
+      instance.props = props;
+    }
+  }
+  instance.attrs = attrs3;
+}
+__name(initProps, "initProps");
+function isInHmrContext(instance) {
+  while (instance) {
+    if (instance.type.__hmrId) return true;
+    instance = instance.parent;
+  }
+}
+__name(isInHmrContext, "isInHmrContext");
+function updateProps(instance, rawProps, rawPrevProps, optimized) {
+  const {
+    props,
+    attrs: attrs3,
+    vnode: { patchFlag }
+  } = instance;
+  const rawCurrentProps = toRaw(props);
+  const [options3] = instance.propsOptions;
+  let hasAttrsChanged = false;
+  if (
+    // always force full diff in dev
+    // - #1942 if hmr is enabled with sfc component
+    // - vite#872 non-sfc component used by sfc component
+    (optimized || patchFlag > 0) && !(patchFlag & 16)
+  ) {
+    if (patchFlag & 8) {
+      const propsToUpdate = instance.vnode.dynamicProps;
+      for (let i2 = 0; i2 < propsToUpdate.length; i2++) {
+        let key = propsToUpdate[i2];
+        if (isEmitListener(instance.emitsOptions, key)) {
+          continue;
+        }
+        const value3 = rawProps[key];
+        if (options3) {
+          if (hasOwn$3(attrs3, key)) {
+            if (value3 !== attrs3[key]) {
+              attrs3[key] = value3;
+              hasAttrsChanged = true;
+            }
+          } else {
+            const camelizedKey = camelize$1(key);
+            props[camelizedKey] = resolvePropValue(
+              options3,
+              rawCurrentProps,
+              camelizedKey,
+              value3,
+              instance,
+              false
+            );
+          }
+        } else {
+          if (value3 !== attrs3[key]) {
+            attrs3[key] = value3;
+            hasAttrsChanged = true;
+          }
+        }
+      }
+    }
+  } else {
+    if (setFullProps(instance, rawProps, props, attrs3)) {
+      hasAttrsChanged = true;
+    }
+    let kebabKey;
+    for (const key in rawCurrentProps) {
+      if (!rawProps || // for camelCase
+      !hasOwn$3(rawProps, key) && // it's possible the original props was passed in as kebab-case
+      // and converted to camelCase (#955)
+      ((kebabKey = hyphenate$1(key)) === key || !hasOwn$3(rawProps, kebabKey))) {
+        if (options3) {
+          if (rawPrevProps && // for camelCase
+          (rawPrevProps[key] !== void 0 || // for kebab-case
+          rawPrevProps[kebabKey] !== void 0)) {
+            props[key] = resolvePropValue(
+              options3,
+              rawCurrentProps,
+              key,
+              void 0,
+              instance,
+              true
+            );
+          }
+        } else {
+          delete props[key];
+        }
+      }
+    }
+    if (attrs3 !== rawCurrentProps) {
+      for (const key in attrs3) {
+        if (!rawProps || !hasOwn$3(rawProps, key) && true) {
+          delete attrs3[key];
+          hasAttrsChanged = true;
+        }
+      }
+    }
+  }
+  if (hasAttrsChanged) {
+    trigger(instance.attrs, "set", "");
+  }
+  if (false) {
+    validateProps(rawProps || {}, props, instance);
+  }
+}
+__name(updateProps, "updateProps");
+function setFullProps(instance, rawProps, props, attrs3) {
+  const [options3, needCastKeys] = instance.propsOptions;
+  let hasAttrsChanged = false;
+  let rawCastValues;
+  if (rawProps) {
+    for (let key in rawProps) {
+      if (isReservedProp(key)) {
+        continue;
+      }
+      const value3 = rawProps[key];
+      let camelKey;
+      if (options3 && hasOwn$3(options3, camelKey = camelize$1(key))) {
+        if (!needCastKeys || !needCastKeys.includes(camelKey)) {
+          props[camelKey] = value3;
+        } else {
+          (rawCastValues || (rawCastValues = {}))[camelKey] = value3;
+        }
+      } else if (!isEmitListener(instance.emitsOptions, key)) {
+        if (!(key in attrs3) || value3 !== attrs3[key]) {
+          attrs3[key] = value3;
+          hasAttrsChanged = true;
+        }
+      }
+    }
+  }
+  if (needCastKeys) {
+    const rawCurrentProps = toRaw(props);
+    const castValues = rawCastValues || EMPTY_OBJ;
+    for (let i2 = 0; i2 < needCastKeys.length; i2++) {
+      const key = needCastKeys[i2];
+      props[key] = resolvePropValue(
+        options3,
+        rawCurrentProps,
+        key,
+        castValues[key],
+        instance,
+        !hasOwn$3(castValues, key)
+      );
+    }
+  }
+  return hasAttrsChanged;
+}
+__name(setFullProps, "setFullProps");
+function resolvePropValue(options3, props, key, value3, instance, isAbsent) {
+  const opt = options3[key];
+  if (opt != null) {
+    const hasDefault = hasOwn$3(opt, "default");
+    if (hasDefault && value3 === void 0) {
+      const defaultValue = opt.default;
+      if (opt.type !== Function && !opt.skipFactory && isFunction$4(defaultValue)) {
+        const { propsDefaults } = instance;
+        if (key in propsDefaults) {
+          value3 = propsDefaults[key];
+        } else {
+          const reset = setCurrentInstance(instance);
+          value3 = propsDefaults[key] = defaultValue.call(
+            null,
+            props
+          );
+          reset();
+        }
+      } else {
+        value3 = defaultValue;
+      }
+    }
+    if (opt[
+      0
+      /* shouldCast */
+    ]) {
+      if (isAbsent && !hasDefault) {
+        value3 = false;
+      } else if (opt[
+        1
+        /* shouldCastTrue */
+      ] && (value3 === "" || value3 === hyphenate$1(key))) {
+        value3 = true;
+      }
+    }
+  }
+  return value3;
+}
+__name(resolvePropValue, "resolvePropValue");
+function normalizePropsOptions(comp, appContext, asMixin = false) {
+  const cache2 = appContext.propsCache;
+  const cached = cache2.get(comp);
+  if (cached) {
+    return cached;
+  }
+  const raw = comp.props;
+  const normalized = {};
+  const needCastKeys = [];
+  let hasExtends = false;
+  if (!isFunction$4(comp)) {
+    const extendProps = /* @__PURE__ */ __name((raw2) => {
+      hasExtends = true;
+      const [props, keys2] = normalizePropsOptions(raw2, appContext, true);
+      extend$1(normalized, props);
+      if (keys2) needCastKeys.push(...keys2);
+    }, "extendProps");
+    if (!asMixin && appContext.mixins.length) {
+      appContext.mixins.forEach(extendProps);
+    }
+    if (comp.extends) {
+      extendProps(comp.extends);
+    }
+    if (comp.mixins) {
+      comp.mixins.forEach(extendProps);
+    }
+  }
+  if (!raw && !hasExtends) {
+    if (isObject$6(comp)) {
+      cache2.set(comp, EMPTY_ARR);
+    }
+    return EMPTY_ARR;
+  }
+  if (isArray$4(raw)) {
+    for (let i2 = 0; i2 < raw.length; i2++) {
+      if (false) {
+        warn$1(`props must be strings when using array syntax.`, raw[i2]);
+      }
+      const normalizedKey = camelize$1(raw[i2]);
+      if (validatePropName(normalizedKey)) {
+        normalized[normalizedKey] = EMPTY_OBJ;
+      }
+    }
+  } else if (raw) {
+    if (false) {
+      warn$1(`invalid props options`, raw);
+    }
+    for (const key in raw) {
+      const normalizedKey = camelize$1(key);
+      if (validatePropName(normalizedKey)) {
+        const opt = raw[key];
+        const prop2 = normalized[normalizedKey] = isArray$4(opt) || isFunction$4(opt) ? { type: opt } : extend$1({}, opt);
+        if (prop2) {
+          const booleanIndex = getTypeIndex(Boolean, prop2.type);
+          const stringIndex = getTypeIndex(String, prop2.type);
+          prop2[
+            0
+            /* shouldCast */
+          ] = booleanIndex > -1;
+          prop2[
+            1
+            /* shouldCastTrue */
+          ] = stringIndex < 0 || booleanIndex < stringIndex;
+          if (booleanIndex > -1 || hasOwn$3(prop2, "default")) {
+            needCastKeys.push(normalizedKey);
+          }
+        }
+      }
+    }
+  }
+  const res = [normalized, needCastKeys];
+  if (isObject$6(comp)) {
+    cache2.set(comp, res);
+  }
+  return res;
+}
+__name(normalizePropsOptions, "normalizePropsOptions");
+function validatePropName(key) {
+  if (key[0] !== "$" && !isReservedProp(key)) {
+    return true;
+  } else if (false) {
+    warn$1(`Invalid prop name: "${key}" is a reserved property.`);
+  }
+  return false;
+}
+__name(validatePropName, "validatePropName");
+function getType(ctor) {
+  if (ctor === null) {
+    return "null";
+  }
+  if (typeof ctor === "function") {
+    return ctor.name || "";
+  } else if (typeof ctor === "object") {
+    const name = ctor.constructor && ctor.constructor.name;
+    return name || "";
+  }
+  return "";
+}
+__name(getType, "getType");
+function isSameType(a, b) {
+  return getType(a) === getType(b);
+}
+__name(isSameType, "isSameType");
+function getTypeIndex(type, expectedTypes) {
+  if (isArray$4(expectedTypes)) {
+    return expectedTypes.findIndex((t) => isSameType(t, type));
+  } else if (isFunction$4(expectedTypes)) {
+    return isSameType(expectedTypes, type) ? 0 : -1;
+  }
+  return -1;
+}
+__name(getTypeIndex, "getTypeIndex");
+function validateProps(rawProps, props, instance) {
+  const resolvedValues = toRaw(props);
+  const options3 = instance.propsOptions[0];
+  for (const key in options3) {
+    let opt = options3[key];
+    if (opt == null) continue;
+    validateProp(
+      key,
+      resolvedValues[key],
+      opt,
+      false ? shallowReadonly(resolvedValues) : resolvedValues,
+      !hasOwn$3(rawProps, key) && !hasOwn$3(rawProps, hyphenate$1(key))
+    );
+  }
+}
+__name(validateProps, "validateProps");
+function validateProp(name, value3, prop2, props, isAbsent) {
+  const { type, required, validator: validator3, skipCheck } = prop2;
+  if (required && isAbsent) {
+    warn$1('Missing required prop: "' + name + '"');
+    return;
+  }
+  if (value3 == null && !required) {
+    return;
+  }
+  if (type != null && type !== true && !skipCheck) {
+    let isValid2 = false;
+    const types = isArray$4(type) ? type : [type];
+    const expectedTypes = [];
+    for (let i2 = 0; i2 < types.length && !isValid2; i2++) {
+      const { valid, expectedType } = assertType(value3, types[i2]);
+      expectedTypes.push(expectedType || "");
+      isValid2 = valid;
+    }
+    if (!isValid2) {
+      warn$1(getInvalidTypeMessage(name, value3, expectedTypes));
+      return;
+    }
+  }
+  if (validator3 && !validator3(value3, props)) {
+    warn$1('Invalid prop: custom validator check failed for prop "' + name + '".');
+  }
+}
+__name(validateProp, "validateProp");
+const isSimpleType = /* @__PURE__ */ makeMap(
+  "String,Number,Boolean,Function,Symbol,BigInt"
+);
+function assertType(value3, type) {
+  let valid;
+  const expectedType = getType(type);
+  if (isSimpleType(expectedType)) {
+    const t = typeof value3;
+    valid = t === expectedType.toLowerCase();
+    if (!valid && t === "object") {
+      valid = value3 instanceof type;
+    }
+  } else if (expectedType === "Object") {
+    valid = isObject$6(value3);
+  } else if (expectedType === "Array") {
+    valid = isArray$4(value3);
+  } else if (expectedType === "null") {
+    valid = value3 === null;
+  } else {
+    valid = value3 instanceof type;
+  }
+  return {
+    valid,
+    expectedType
+  };
+}
+__name(assertType, "assertType");
+function getInvalidTypeMessage(name, value3, expectedTypes) {
+  if (expectedTypes.length === 0) {
+    return `Prop type [] for prop "${name}" won't match anything. Did you mean to use type Array instead?`;
+  }
+  let message3 = `Invalid prop: type check failed for prop "${name}". Expected ${expectedTypes.map(capitalize$1).join(" | ")}`;
+  const expectedType = expectedTypes[0];
+  const receivedType = toRawType(value3);
+  const expectedValue = styleValue(value3, expectedType);
+  const receivedValue = styleValue(value3, receivedType);
+  if (expectedTypes.length === 1 && isExplicable(expectedType) && !isBoolean$3(expectedType, receivedType)) {
+    message3 += ` with value ${expectedValue}`;
+  }
+  message3 += `, got ${receivedType} `;
+  if (isExplicable(receivedType)) {
+    message3 += `with value ${receivedValue}.`;
+  }
+  return message3;
+}
+__name(getInvalidTypeMessage, "getInvalidTypeMessage");
+function styleValue(value3, type) {
+  if (type === "String") {
+    return `"${value3}"`;
+  } else if (type === "Number") {
+    return `${Number(value3)}`;
+  } else {
+    return `${value3}`;
+  }
+}
+__name(styleValue, "styleValue");
+function isExplicable(type) {
+  const explicitTypes = ["string", "number", "boolean"];
+  return explicitTypes.some((elem) => type.toLowerCase() === elem);
+}
+__name(isExplicable, "isExplicable");
+function isBoolean$3(...args) {
+  return args.some((elem) => elem.toLowerCase() === "boolean");
+}
+__name(isBoolean$3, "isBoolean$3");
+const isInternalKey = /* @__PURE__ */ __name((key) => key[0] === "_" || key === "$stable", "isInternalKey");
+const normalizeSlotValue = /* @__PURE__ */ __name((value3) => isArray$4(value3) ? value3.map(normalizeVNode) : [normalizeVNode(value3)], "normalizeSlotValue");
+const normalizeSlot = /* @__PURE__ */ __name((key, rawSlot, ctx) => {
+  if (rawSlot._n) {
+    return rawSlot;
+  }
+  const normalized = withCtx((...args) => {
+    if (false) {
+      warn$1(
+        `Slot "${key}" invoked outside of the render function: this will not track dependencies used in the slot. Invoke the slot function inside the render function instead.`
+      );
+    }
+    return normalizeSlotValue(rawSlot(...args));
+  }, ctx);
+  normalized._c = false;
+  return normalized;
+}, "normalizeSlot");
+const normalizeObjectSlots = /* @__PURE__ */ __name((rawSlots, slots, instance) => {
+  const ctx = rawSlots._ctx;
+  for (const key in rawSlots) {
+    if (isInternalKey(key)) continue;
+    const value3 = rawSlots[key];
+    if (isFunction$4(value3)) {
+      slots[key] = normalizeSlot(key, value3, ctx);
+    } else if (value3 != null) {
+      if (false) {
+        warn$1(
+          `Non-function value encountered for slot "${key}". Prefer function slots for better performance.`
+        );
+      }
+      const normalized = normalizeSlotValue(value3);
+      slots[key] = () => normalized;
+    }
+  }
+}, "normalizeObjectSlots");
+const normalizeVNodeSlots = /* @__PURE__ */ __name((instance, children) => {
+  if (false) {
+    warn$1(
+      `Non-function value encountered for default slot. Prefer function slots for better performance.`
+    );
+  }
+  const normalized = normalizeSlotValue(children);
+  instance.slots.default = () => normalized;
+}, "normalizeVNodeSlots");
+const initSlots = /* @__PURE__ */ __name((instance, children) => {
+  const slots = instance.slots = createInternalObject();
+  if (instance.vnode.shapeFlag & 32) {
+    const type = children._;
+    if (type) {
+      extend$1(slots, children);
+      def(slots, "_", type, true);
+    } else {
+      normalizeObjectSlots(children, slots);
+    }
+  } else if (children) {
+    normalizeVNodeSlots(instance, children);
+  }
+}, "initSlots");
+const updateSlots = /* @__PURE__ */ __name((instance, children, optimized) => {
+  const { vnode, slots } = instance;
+  let needDeletionCheck = true;
+  let deletionComparisonTarget = EMPTY_OBJ;
+  if (vnode.shapeFlag & 32) {
+    const type = children._;
+    if (type) {
+      if (false) {
+        extend$1(slots, children);
+        trigger(instance, "set", "$slots");
+      } else if (optimized && type === 1) {
+        needDeletionCheck = false;
+      } else {
+        extend$1(slots, children);
+        if (!optimized && type === 1) {
+          delete slots._;
+        }
+      }
+    } else {
+      needDeletionCheck = !children.$stable;
+      normalizeObjectSlots(children, slots);
+    }
+    deletionComparisonTarget = children;
+  } else if (children) {
+    normalizeVNodeSlots(instance, children);
+    deletionComparisonTarget = { default: 1 };
+  }
+  if (needDeletionCheck) {
+    for (const key in slots) {
+      if (!isInternalKey(key) && deletionComparisonTarget[key] == null) {
+        delete slots[key];
+      }
+    }
+  }
+}, "updateSlots");
+function setRef(rawRef, oldRawRef, parentSuspense, vnode, isUnmount = false) {
+  if (isArray$4(rawRef)) {
+    rawRef.forEach(
+      (r, i2) => setRef(
+        r,
+        oldRawRef && (isArray$4(oldRawRef) ? oldRawRef[i2] : oldRawRef),
+        parentSuspense,
+        vnode,
+        isUnmount
+      )
+    );
+    return;
+  }
+  if (isAsyncWrapper(vnode) && !isUnmount) {
+    return;
+  }
+  const refValue = vnode.shapeFlag & 4 ? getComponentPublicInstance(vnode.component) : vnode.el;
+  const value3 = isUnmount ? null : refValue;
+  const { i: owner, r: ref3 } = rawRef;
+  if (false) {
+    warn$1(
+      `Missing ref owner context. ref cannot be used on hoisted vnodes. A vnode with ref must be created inside the render function.`
+    );
+    return;
+  }
+  const oldRef = oldRawRef && oldRawRef.r;
+  const refs = owner.refs === EMPTY_OBJ ? owner.refs = {} : owner.refs;
+  const setupState = owner.setupState;
+  if (oldRef != null && oldRef !== ref3) {
+    if (isString$5(oldRef)) {
+      refs[oldRef] = null;
+      if (hasOwn$3(setupState, oldRef)) {
+        setupState[oldRef] = null;
+      }
+    } else if (isRef(oldRef)) {
+      oldRef.value = null;
+    }
+  }
+  if (isFunction$4(ref3)) {
+    callWithErrorHandling(ref3, owner, 12, [value3, refs]);
+  } else {
+    const _isString = isString$5(ref3);
+    const _isRef = isRef(ref3);
+    if (_isString || _isRef) {
+      const doSet = /* @__PURE__ */ __name(() => {
+        if (rawRef.f) {
+          const existing = _isString ? hasOwn$3(setupState, ref3) ? setupState[ref3] : refs[ref3] : ref3.value;
+          if (isUnmount) {
+            isArray$4(existing) && remove$1(existing, refValue);
+          } else {
+            if (!isArray$4(existing)) {
+              if (_isString) {
+                refs[ref3] = [refValue];
+                if (hasOwn$3(setupState, ref3)) {
+                  setupState[ref3] = refs[ref3];
+                }
+              } else {
+                ref3.value = [refValue];
+                if (rawRef.k) refs[rawRef.k] = ref3.value;
+              }
+            } else if (!existing.includes(refValue)) {
+              existing.push(refValue);
+            }
+          }
+        } else if (_isString) {
+          refs[ref3] = value3;
+          if (hasOwn$3(setupState, ref3)) {
+            setupState[ref3] = value3;
+          }
+        } else if (_isRef) {
+          ref3.value = value3;
+          if (rawRef.k) refs[rawRef.k] = value3;
+        } else if (false) {
+          warn$1("Invalid template ref type:", ref3, `(${typeof ref3})`);
+        }
+      }, "doSet");
+      if (value3) {
+        doSet.id = -1;
+        queuePostRenderEffect(doSet, parentSuspense);
+      } else {
+        doSet();
+      }
+    } else if (false) {
+      warn$1("Invalid template ref type:", ref3, `(${typeof ref3})`);
+    }
+  }
+}
+__name(setRef, "setRef");
+let hasLoggedMismatchError = false;
+const logMismatchError = /* @__PURE__ */ __name(() => {
+  if (hasLoggedMismatchError) {
+    return;
+  }
+  console.error("Hydration completed but contains mismatches.");
+  hasLoggedMismatchError = true;
+}, "logMismatchError");
+const isSVGContainer = /* @__PURE__ */ __name((container) => container.namespaceURI.includes("svg") && container.tagName !== "foreignObject", "isSVGContainer");
+const isMathMLContainer = /* @__PURE__ */ __name((container) => container.namespaceURI.includes("MathML"), "isMathMLContainer");
+const getContainerType = /* @__PURE__ */ __name((container) => {
+  if (isSVGContainer(container)) return "svg";
+  if (isMathMLContainer(container)) return "mathml";
+  return void 0;
+}, "getContainerType");
+const isComment = /* @__PURE__ */ __name((node3) => node3.nodeType === 8, "isComment");
+function createHydrationFunctions(rendererInternals) {
+  const {
+    mt: mountComponent,
+    p: patch,
+    o: {
+      patchProp: patchProp2,
+      createText,
+      nextSibling,
+      parentNode,
+      remove: remove22,
+      insert: insert2,
+      createComment
+    }
+  } = rendererInternals;
+  const hydrate2 = /* @__PURE__ */ __name((vnode, container) => {
+    if (!container.hasChildNodes()) {
+      patch(null, vnode, container);
+      flushPostFlushCbs();
+      container._vnode = vnode;
+      return;
+    }
+    hydrateNode(container.firstChild, vnode, null, null, null);
+    flushPostFlushCbs();
+    container._vnode = vnode;
+  }, "hydrate");
+  const hydrateNode = /* @__PURE__ */ __name((node3, vnode, parentComponent, parentSuspense, slotScopeIds, optimized = false) => {
+    optimized = optimized || !!vnode.dynamicChildren;
+    const isFragmentStart = isComment(node3) && node3.data === "[";
+    const onMismatch = /* @__PURE__ */ __name(() => handleMismatch(
+      node3,
+      vnode,
+      parentComponent,
+      parentSuspense,
+      slotScopeIds,
+      isFragmentStart
+    ), "onMismatch");
+    const { type, ref: ref3, shapeFlag, patchFlag } = vnode;
+    let domType = node3.nodeType;
+    vnode.el = node3;
+    if (false) {
+      def(node3, "__vnode", vnode, true);
+      def(node3, "__vueParentComponent", parentComponent, true);
+    }
+    if (patchFlag === -2) {
+      optimized = false;
+      vnode.dynamicChildren = null;
+    }
+    let nextNode = null;
+    switch (type) {
+      case Text:
+        if (domType !== 3) {
+          if (vnode.children === "") {
+            insert2(vnode.el = createText(""), parentNode(node3), node3);
+            nextNode = node3;
+          } else {
+            nextNode = onMismatch();
+          }
+        } else {
+          if (node3.data !== vnode.children) {
+            logMismatchError();
+            node3.data = vnode.children;
+          }
+          nextNode = nextSibling(node3);
+        }
+        break;
+      case Comment:
+        if (isTemplateNode(node3)) {
+          nextNode = nextSibling(node3);
+          replaceNode(
+            vnode.el = node3.content.firstChild,
+            node3,
+            parentComponent
+          );
+        } else if (domType !== 8 || isFragmentStart) {
+          nextNode = onMismatch();
+        } else {
+          nextNode = nextSibling(node3);
+        }
+        break;
+      case Static:
+        if (isFragmentStart) {
+          node3 = nextSibling(node3);
+          domType = node3.nodeType;
+        }
+        if (domType === 1 || domType === 3) {
+          nextNode = node3;
+          const needToAdoptContent = !vnode.children.length;
+          for (let i2 = 0; i2 < vnode.staticCount; i2++) {
+            if (needToAdoptContent)
+              vnode.children += nextNode.nodeType === 1 ? nextNode.outerHTML : nextNode.data;
+            if (i2 === vnode.staticCount - 1) {
+              vnode.anchor = nextNode;
+            }
+            nextNode = nextSibling(nextNode);
+          }
+          return isFragmentStart ? nextSibling(nextNode) : nextNode;
+        } else {
+          onMismatch();
+        }
+        break;
+      case Fragment:
+        if (!isFragmentStart) {
+          nextNode = onMismatch();
+        } else {
+          nextNode = hydrateFragment(
+            node3,
+            vnode,
+            parentComponent,
+            parentSuspense,
+            slotScopeIds,
+            optimized
+          );
+        }
+        break;
+      default:
+        if (shapeFlag & 1) {
+          if ((domType !== 1 || vnode.type.toLowerCase() !== node3.tagName.toLowerCase()) && !isTemplateNode(node3)) {
+            nextNode = onMismatch();
+          } else {
+            nextNode = hydrateElement(
+              node3,
+              vnode,
+              parentComponent,
+              parentSuspense,
+              slotScopeIds,
+              optimized
+            );
+          }
+        } else if (shapeFlag & 6) {
+          vnode.slotScopeIds = slotScopeIds;
+          const container = parentNode(node3);
+          if (isFragmentStart) {
+            nextNode = locateClosingAnchor(node3);
+          } else if (isComment(node3) && node3.data === "teleport start") {
+            nextNode = locateClosingAnchor(node3, node3.data, "teleport end");
+          } else {
+            nextNode = nextSibling(node3);
+          }
+          mountComponent(
+            vnode,
+            container,
+            null,
+            parentComponent,
+            parentSuspense,
+            getContainerType(container),
+            optimized
+          );
+          if (isAsyncWrapper(vnode)) {
+            let subTree;
+            if (isFragmentStart) {
+              subTree = createVNode(Fragment);
+              subTree.anchor = nextNode ? nextNode.previousSibling : container.lastChild;
+            } else {
+              subTree = node3.nodeType === 3 ? createTextVNode("") : createVNode("div");
+            }
+            subTree.el = node3;
+            vnode.component.subTree = subTree;
+          }
+        } else if (shapeFlag & 64) {
+          if (domType !== 8) {
+            nextNode = onMismatch();
+          } else {
+            nextNode = vnode.type.hydrate(
+              node3,
+              vnode,
+              parentComponent,
+              parentSuspense,
+              slotScopeIds,
+              optimized,
+              rendererInternals,
+              hydrateChildren
+            );
+          }
+        } else if (shapeFlag & 128) {
+          nextNode = vnode.type.hydrate(
+            node3,
+            vnode,
+            parentComponent,
+            parentSuspense,
+            getContainerType(parentNode(node3)),
+            slotScopeIds,
+            optimized,
+            rendererInternals,
+            hydrateNode
+          );
+        } else if (false) {
+          warn$1("Invalid HostVNode type:", type, `(${typeof type})`);
+        }
+    }
+    if (ref3 != null) {
+      setRef(ref3, null, parentSuspense, vnode);
+    }
+    return nextNode;
+  }, "hydrateNode");
+  const hydrateElement = /* @__PURE__ */ __name((el, vnode, parentComponent, parentSuspense, slotScopeIds, optimized) => {
+    optimized = optimized || !!vnode.dynamicChildren;
+    const { type, props, patchFlag, shapeFlag, dirs, transition } = vnode;
+    const forcePatch = type === "input" || type === "option";
+    if (forcePatch || patchFlag !== -1) {
+      if (dirs) {
+        invokeDirectiveHook(vnode, null, parentComponent, "created");
+      }
+      let needCallTransitionHooks = false;
+      if (isTemplateNode(el)) {
+        needCallTransitionHooks = needTransition(parentSuspense, transition) && parentComponent && parentComponent.vnode.props && parentComponent.vnode.props.appear;
+        const content = el.content.firstChild;
+        if (needCallTransitionHooks) {
+          transition.beforeEnter(content);
+        }
+        replaceNode(content, el, parentComponent);
+        vnode.el = el = content;
+      }
+      if (shapeFlag & 16 && // skip if element has innerHTML / textContent
+      !(props && (props.innerHTML || props.textContent))) {
+        let next2 = hydrateChildren(
+          el.firstChild,
+          vnode,
+          el,
+          parentComponent,
+          parentSuspense,
+          slotScopeIds,
+          optimized
+        );
+        let hasWarned2 = false;
+        while (next2) {
+          if (false) {
+            warn$1(
+              `Hydration children mismatch on`,
+              el,
+              `
+Server rendered element contains more child nodes than client vdom.`
+            );
+            hasWarned2 = true;
+          }
+          logMismatchError();
+          const cur = next2;
+          next2 = next2.nextSibling;
+          remove22(cur);
+        }
+      } else if (shapeFlag & 8) {
+        if (el.textContent !== vnode.children) {
+          logMismatchError();
+          el.textContent = vnode.children;
+        }
+      }
+      if (props) {
+        if (forcePatch || !optimized || patchFlag & (16 | 32)) {
+          for (const key in props) {
+            if (false) {
+              logMismatchError();
+            }
+            if (forcePatch && (key.endsWith("value") || key === "indeterminate") || isOn(key) && !isReservedProp(key) || // force hydrate v-bind with .prop modifiers
+            key[0] === ".") {
+              patchProp2(
+                el,
+                key,
+                null,
+                props[key],
+                void 0,
+                void 0,
+                parentComponent
+              );
+            }
+          }
+        } else if (props.onClick) {
+          patchProp2(
+            el,
+            "onClick",
+            null,
+            props.onClick,
+            void 0,
+            void 0,
+            parentComponent
+          );
+        }
+      }
+      let vnodeHooks;
+      if (vnodeHooks = props && props.onVnodeBeforeMount) {
+        invokeVNodeHook(vnodeHooks, parentComponent, vnode);
+      }
+      if (dirs) {
+        invokeDirectiveHook(vnode, null, parentComponent, "beforeMount");
+      }
+      if ((vnodeHooks = props && props.onVnodeMounted) || dirs || needCallTransitionHooks) {
+        queueEffectWithSuspense(() => {
+          vnodeHooks && invokeVNodeHook(vnodeHooks, parentComponent, vnode);
+          needCallTransitionHooks && transition.enter(el);
+          dirs && invokeDirectiveHook(vnode, null, parentComponent, "mounted");
+        }, parentSuspense);
+      }
+    }
+    return el.nextSibling;
+  }, "hydrateElement");
+  const hydrateChildren = /* @__PURE__ */ __name((node3, parentVNode, container, parentComponent, parentSuspense, slotScopeIds, optimized) => {
+    optimized = optimized || !!parentVNode.dynamicChildren;
+    const children = parentVNode.children;
+    const l = children.length;
+    let hasWarned2 = false;
+    for (let i2 = 0; i2 < l; i2++) {
+      const vnode = optimized ? children[i2] : children[i2] = normalizeVNode(children[i2]);
+      if (node3) {
+        node3 = hydrateNode(
+          node3,
+          vnode,
+          parentComponent,
+          parentSuspense,
+          slotScopeIds,
+          optimized
+        );
+      } else if (vnode.type === Text && !vnode.children) {
+        insert2(vnode.el = createText(""), container);
+      } else {
+        if (false) {
+          warn$1(
+            `Hydration children mismatch on`,
+            container,
+            `
+Server rendered element contains fewer child nodes than client vdom.`
+          );
+          hasWarned2 = true;
+        }
+        logMismatchError();
+        patch(
+          null,
+          vnode,
+          container,
+          null,
+          parentComponent,
+          parentSuspense,
+          getContainerType(container),
+          slotScopeIds
+        );
+      }
+    }
+    return node3;
+  }, "hydrateChildren");
+  const hydrateFragment = /* @__PURE__ */ __name((node3, vnode, parentComponent, parentSuspense, slotScopeIds, optimized) => {
+    const { slotScopeIds: fragmentSlotScopeIds } = vnode;
+    if (fragmentSlotScopeIds) {
+      slotScopeIds = slotScopeIds ? slotScopeIds.concat(fragmentSlotScopeIds) : fragmentSlotScopeIds;
+    }
+    const container = parentNode(node3);
+    const next2 = hydrateChildren(
+      nextSibling(node3),
+      vnode,
+      container,
+      parentComponent,
+      parentSuspense,
+      slotScopeIds,
+      optimized
+    );
+    if (next2 && isComment(next2) && next2.data === "]") {
+      return nextSibling(vnode.anchor = next2);
+    } else {
+      logMismatchError();
+      insert2(vnode.anchor = createComment(`]`), container, next2);
+      return next2;
+    }
+  }, "hydrateFragment");
+  const handleMismatch = /* @__PURE__ */ __name((node3, vnode, parentComponent, parentSuspense, slotScopeIds, isFragment) => {
+    logMismatchError();
+    vnode.el = null;
+    if (isFragment) {
+      const end = locateClosingAnchor(node3);
+      while (true) {
+        const next22 = nextSibling(node3);
+        if (next22 && next22 !== end) {
+          remove22(next22);
+        } else {
+          break;
+        }
+      }
+    }
+    const next2 = nextSibling(node3);
+    const container = parentNode(node3);
+    remove22(node3);
+    patch(
+      null,
+      vnode,
+      container,
+      next2,
+      parentComponent,
+      parentSuspense,
+      getContainerType(container),
+      slotScopeIds
+    );
+    return next2;
+  }, "handleMismatch");
+  const locateClosingAnchor = /* @__PURE__ */ __name((node3, open2 = "[", close4 = "]") => {
+    let match = 0;
+    while (node3) {
+      node3 = nextSibling(node3);
+      if (node3 && isComment(node3)) {
+        if (node3.data === open2) match++;
+        if (node3.data === close4) {
+          if (match === 0) {
+            return nextSibling(node3);
+          } else {
+            match--;
+          }
+        }
+      }
+    }
+    return node3;
+  }, "locateClosingAnchor");
+  const replaceNode = /* @__PURE__ */ __name((newNode, oldNode, parentComponent) => {
+    const parentNode2 = oldNode.parentNode;
+    if (parentNode2) {
+      parentNode2.replaceChild(newNode, oldNode);
+    }
+    let parent = parentComponent;
+    while (parent) {
+      if (parent.vnode.el === oldNode) {
+        parent.vnode.el = parent.subTree.el = newNode;
+      }
+      parent = parent.parent;
+    }
+  }, "replaceNode");
+  const isTemplateNode = /* @__PURE__ */ __name((node3) => {
+    return node3.nodeType === 1 && node3.tagName.toLowerCase() === "template";
+  }, "isTemplateNode");
+  return [hydrate2, hydrateNode];
+}
+__name(createHydrationFunctions, "createHydrationFunctions");
+function propHasMismatch(el, key, clientValue, vnode, instance) {
+  let mismatchType;
+  let mismatchKey;
+  let actual;
+  let expected;
+  if (key === "class") {
+    actual = el.getAttribute("class");
+    expected = normalizeClass(clientValue);
+    if (!isSetEqual(toClassSet(actual || ""), toClassSet(expected))) {
+      mismatchType = mismatchKey = `class`;
+    }
+  } else if (key === "style") {
+    actual = el.getAttribute("style") || "";
+    expected = isString$5(clientValue) ? clientValue : stringifyStyle(normalizeStyle(clientValue));
+    const actualMap = toStyleMap(actual);
+    const expectedMap = toStyleMap(expected);
+    if (vnode.dirs) {
+      for (const { dir, value: value3 } of vnode.dirs) {
+        if (dir.name === "show" && !value3) {
+          expectedMap.set("display", "none");
+        }
+      }
+    }
+    if (instance) {
+      resolveCssVars(instance, vnode, expectedMap);
+    }
+    if (!isMapEqual(actualMap, expectedMap)) {
+      mismatchType = mismatchKey = "style";
+    }
+  } else if (el instanceof SVGElement && isKnownSvgAttr(key) || el instanceof HTMLElement && (isBooleanAttr(key) || isKnownHtmlAttr(key))) {
+    if (isBooleanAttr(key)) {
+      actual = el.hasAttribute(key);
+      expected = includeBooleanAttr(clientValue);
+    } else if (clientValue == null) {
+      actual = el.hasAttribute(key);
+      expected = false;
+    } else {
+      if (el.hasAttribute(key)) {
+        actual = el.getAttribute(key);
+      } else if (key === "value" && el.tagName === "TEXTAREA") {
+        actual = el.value;
+      } else {
+        actual = false;
+      }
+      expected = isRenderableAttrValue(clientValue) ? String(clientValue) : false;
+    }
+    if (actual !== expected) {
+      mismatchType = `attribute`;
+      mismatchKey = key;
+    }
+  }
+  if (mismatchType) {
+    const format2 = /* @__PURE__ */ __name((v2) => v2 === false ? `(not rendered)` : `${mismatchKey}="${v2}"`, "format");
+    const preSegment = `Hydration ${mismatchType} mismatch on`;
+    const postSegment = `
+  - rendered on server: ${format2(actual)}
+  - expected on client: ${format2(expected)}
+  Note: this mismatch is check-only. The DOM will not be rectified in production due to performance overhead.
+  You should fix the source of the mismatch.`;
+    {
+      warn$1(preSegment, el, postSegment);
+    }
+    return true;
+  }
+  return false;
+}
+__name(propHasMismatch, "propHasMismatch");
+function toClassSet(str) {
+  return new Set(str.trim().split(/\s+/));
+}
+__name(toClassSet, "toClassSet");
+function isSetEqual(a, b) {
+  if (a.size !== b.size) {
+    return false;
+  }
+  for (const s of a) {
+    if (!b.has(s)) {
+      return false;
+    }
+  }
+  return true;
+}
+__name(isSetEqual, "isSetEqual");
+function toStyleMap(str) {
+  const styleMap = /* @__PURE__ */ new Map();
+  for (const item2 of str.split(";")) {
+    let [key, value3] = item2.split(":");
+    key = key.trim();
+    value3 = value3 && value3.trim();
+    if (key && value3) {
+      styleMap.set(key, value3);
+    }
+  }
+  return styleMap;
+}
+__name(toStyleMap, "toStyleMap");
+function isMapEqual(a, b) {
+  if (a.size !== b.size) {
+    return false;
+  }
+  for (const [key, value3] of a) {
+    if (value3 !== b.get(key)) {
+      return false;
+    }
+  }
+  return true;
+}
+__name(isMapEqual, "isMapEqual");
+function resolveCssVars(instance, vnode, expectedMap) {
+  const root26 = instance.subTree;
+  if (instance.getCssVars && (vnode === root26 || root26 && root26.type === Fragment && root26.children.includes(vnode))) {
+    const cssVars = instance.getCssVars();
+    for (const key in cssVars) {
+      expectedMap.set(`--${key}`, String(cssVars[key]));
+    }
+  }
+  if (vnode === root26 && instance.parent) {
+    resolveCssVars(instance.parent, instance.vnode, expectedMap);
+  }
+}
+__name(resolveCssVars, "resolveCssVars");
+let supported$1;
+let perf$1;
+function startMeasure(instance, type) {
+  if (instance.appContext.config.performance && isSupported()) {
+    perf$1.mark(`vue-${type}-${instance.uid}`);
+  }
+  if (false) {
+    devtoolsPerfStart(instance, type, isSupported() ? perf$1.now() : Date.now());
+  }
+}
+__name(startMeasure, "startMeasure");
+function endMeasure(instance, type) {
+  if (instance.appContext.config.performance && isSupported()) {
+    const startTag = `vue-${type}-${instance.uid}`;
+    const endTag = startTag + `:end`;
+    perf$1.mark(endTag);
+    perf$1.measure(
+      `<${formatComponentName(instance, instance.type)}> ${type}`,
+      startTag,
+      endTag
+    );
+    perf$1.clearMarks(startTag);
+    perf$1.clearMarks(endTag);
+  }
+  if (false) {
+    devtoolsPerfEnd(instance, type, isSupported() ? perf$1.now() : Date.now());
+  }
+}
+__name(endMeasure, "endMeasure");
+function isSupported() {
+  if (supported$1 !== void 0) {
+    return supported$1;
+  }
+  if (typeof window !== "undefined" && window.performance) {
+    supported$1 = true;
+    perf$1 = window.performance;
+  } else {
+    supported$1 = false;
+  }
+  return supported$1;
+}
+__name(isSupported, "isSupported");
+function initFeatureFlags$2() {
+  const needWarn = [];
+  if (false) {
+    getGlobalThis$1().__VUE_OPTIONS_API__ = true;
+  }
+  if (false) {
+    getGlobalThis$1().__VUE_PROD_DEVTOOLS__ = false;
+  }
+  if (false) {
+    getGlobalThis$1().__VUE_PROD_HYDRATION_MISMATCH_DETAILS__ = false;
+  }
+  if (false) {
+    const multi = needWarn.length > 1;
+    console.warn(
+      `Feature flag${multi ? `s` : ``} ${needWarn.join(", ")} ${multi ? `are` : `is`} not explicitly defined. You are running the esm-bundler build of Vue, which expects these compile-time feature flags to be globally injected via the bundler config in order to get better tree-shaking in the production bundle.
+
+For more details, see https://link.vuejs.org/feature-flags.`
+    );
+  }
+}
+__name(initFeatureFlags$2, "initFeatureFlags$2");
+const queuePostRenderEffect = queueEffectWithSuspense;
+function createRenderer(options3) {
+  return baseCreateRenderer(options3);
+}
+__name(createRenderer, "createRenderer");
+function createHydrationRenderer(options3) {
+  return baseCreateRenderer(options3, createHydrationFunctions);
+}
+__name(createHydrationRenderer, "createHydrationRenderer");
+function baseCreateRenderer(options3, createHydrationFns) {
+  {
+    initFeatureFlags$2();
+  }
+  const target = getGlobalThis$1();
+  target.__VUE__ = true;
+  if (false) {
+    setDevtoolsHook$1(target.__VUE_DEVTOOLS_GLOBAL_HOOK__, target);
+  }
+  const {
+    insert: hostInsert,
+    remove: hostRemove,
+    patchProp: hostPatchProp,
+    createElement: hostCreateElement,
+    createText: hostCreateText,
+    createComment: hostCreateComment,
+    setText: hostSetText,
+    setElementText: hostSetElementText,
+    parentNode: hostParentNode,
+    nextSibling: hostNextSibling,
+    setScopeId: hostSetScopeId = NOOP,
+    insertStaticContent: hostInsertStaticContent
+  } = options3;
+  const patch = /* @__PURE__ */ __name((n1, n2, container, anchor = null, parentComponent = null, parentSuspense = null, namespace = void 0, slotScopeIds = null, optimized = false ? false : !!n2.dynamicChildren) => {
+    if (n1 === n2) {
+      return;
+    }
+    if (n1 && !isSameVNodeType(n1, n2)) {
+      anchor = getNextHostNode(n1);
+      unmount(n1, parentComponent, parentSuspense, true);
+      n1 = null;
+    }
+    if (n2.patchFlag === -2) {
+      optimized = false;
+      n2.dynamicChildren = null;
+    }
+    const { type, ref: ref3, shapeFlag } = n2;
+    switch (type) {
+      case Text:
+        processText(n1, n2, container, anchor);
+        break;
+      case Comment:
+        processCommentNode(n1, n2, container, anchor);
+        break;
+      case Static:
+        if (n1 == null) {
+          mountStaticNode(n2, container, anchor, namespace);
+        } else if (false) {
+          patchStaticNode(n1, n2, container, namespace);
+        }
+        break;
+      case Fragment:
+        processFragment(
+          n1,
+          n2,
+          container,
+          anchor,
+          parentComponent,
+          parentSuspense,
+          namespace,
+          slotScopeIds,
+          optimized
+        );
+        break;
+      default:
+        if (shapeFlag & 1) {
+          processElement(
+            n1,
+            n2,
+            container,
+            anchor,
+            parentComponent,
+            parentSuspense,
+            namespace,
+            slotScopeIds,
+            optimized
+          );
+        } else if (shapeFlag & 6) {
+          processComponent(
+            n1,
+            n2,
+            container,
+            anchor,
+            parentComponent,
+            parentSuspense,
+            namespace,
+            slotScopeIds,
+            optimized
+          );
+        } else if (shapeFlag & 64) {
+          type.process(
+            n1,
+            n2,
+            container,
+            anchor,
+            parentComponent,
+            parentSuspense,
+            namespace,
+            slotScopeIds,
+            optimized,
+            internals
+          );
+        } else if (shapeFlag & 128) {
+          type.process(
+            n1,
+            n2,
+            container,
+            anchor,
+            parentComponent,
+            parentSuspense,
+            namespace,
+            slotScopeIds,
+            optimized,
+            internals
+          );
+        } else if (false) {
+          warn$1("Invalid VNode type:", type, `(${typeof type})`);
+        }
+    }
+    if (ref3 != null && parentComponent) {
+      setRef(ref3, n1 && n1.ref, parentSuspense, n2 || n1, !n2);
+    }
+  }, "patch");
+  const processText = /* @__PURE__ */ __name((n1, n2, container, anchor) => {
+    if (n1 == null) {
+      hostInsert(
+        n2.el = hostCreateText(n2.children),
+        container,
+        anchor
+      );
+    } else {
+      const el = n2.el = n1.el;
+      if (n2.children !== n1.children) {
+        hostSetText(el, n2.children);
+      }
+    }
+  }, "processText");
+  const processCommentNode = /* @__PURE__ */ __name((n1, n2, container, anchor) => {
+    if (n1 == null) {
+      hostInsert(
+        n2.el = hostCreateComment(n2.children || ""),
+        container,
+        anchor
+      );
+    } else {
+      n2.el = n1.el;
+    }
+  }, "processCommentNode");
+  const mountStaticNode = /* @__PURE__ */ __name((n2, container, anchor, namespace) => {
+    [n2.el, n2.anchor] = hostInsertStaticContent(
+      n2.children,
+      container,
+      anchor,
+      namespace,
+      n2.el,
+      n2.anchor
+    );
+  }, "mountStaticNode");
+  const patchStaticNode = /* @__PURE__ */ __name((n1, n2, container, namespace) => {
+    if (n2.children !== n1.children) {
+      const anchor = hostNextSibling(n1.anchor);
+      removeStaticNode(n1);
+      [n2.el, n2.anchor] = hostInsertStaticContent(
+        n2.children,
+        container,
+        anchor,
+        namespace
+      );
+    } else {
+      n2.el = n1.el;
+      n2.anchor = n1.anchor;
+    }
+  }, "patchStaticNode");
+  const moveStaticNode = /* @__PURE__ */ __name(({ el, anchor }, container, nextSibling) => {
+    let next2;
+    while (el && el !== anchor) {
+      next2 = hostNextSibling(el);
+      hostInsert(el, container, nextSibling);
+      el = next2;
+    }
+    hostInsert(anchor, container, nextSibling);
+  }, "moveStaticNode");
+  const removeStaticNode = /* @__PURE__ */ __name(({ el, anchor }) => {
+    let next2;
+    while (el && el !== anchor) {
+      next2 = hostNextSibling(el);
+      hostRemove(el);
+      el = next2;
+    }
+    hostRemove(anchor);
+  }, "removeStaticNode");
+  const processElement = /* @__PURE__ */ __name((n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {
+    if (n2.type === "svg") {
+      namespace = "svg";
+    } else if (n2.type === "math") {
+      namespace = "mathml";
+    }
+    if (n1 == null) {
+      mountElement(
+        n2,
+        container,
+        anchor,
+        parentComponent,
+        parentSuspense,
+        namespace,
+        slotScopeIds,
+        optimized
+      );
+    } else {
+      patchElement(
+        n1,
+        n2,
+        parentComponent,
+        parentSuspense,
+        namespace,
+        slotScopeIds,
+        optimized
+      );
+    }
+  }, "processElement");
+  const mountElement = /* @__PURE__ */ __name((vnode, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {
+    let el;
+    let vnodeHook;
+    const { props, shapeFlag, transition, dirs } = vnode;
+    el = vnode.el = hostCreateElement(
+      vnode.type,
+      namespace,
+      props && props.is,
+      props
+    );
+    if (shapeFlag & 8) {
+      hostSetElementText(el, vnode.children);
+    } else if (shapeFlag & 16) {
+      mountChildren(
+        vnode.children,
+        el,
+        null,
+        parentComponent,
+        parentSuspense,
+        resolveChildrenNamespace(vnode, namespace),
+        slotScopeIds,
+        optimized
+      );
+    }
+    if (dirs) {
+      invokeDirectiveHook(vnode, null, parentComponent, "created");
+    }
+    setScopeId(el, vnode, vnode.scopeId, slotScopeIds, parentComponent);
+    if (props) {
+      for (const key in props) {
+        if (key !== "value" && !isReservedProp(key)) {
+          hostPatchProp(
+            el,
+            key,
+            null,
+            props[key],
+            namespace,
+            vnode.children,
+            parentComponent,
+            parentSuspense,
+            unmountChildren
+          );
+        }
+      }
+      if ("value" in props) {
+        hostPatchProp(el, "value", null, props.value, namespace);
+      }
+      if (vnodeHook = props.onVnodeBeforeMount) {
+        invokeVNodeHook(vnodeHook, parentComponent, vnode);
+      }
+    }
+    if (false) {
+      def(el, "__vnode", vnode, true);
+      def(el, "__vueParentComponent", parentComponent, true);
+    }
+    if (dirs) {
+      invokeDirectiveHook(vnode, null, parentComponent, "beforeMount");
+    }
+    const needCallTransitionHooks = needTransition(parentSuspense, transition);
+    if (needCallTransitionHooks) {
+      transition.beforeEnter(el);
+    }
+    hostInsert(el, container, anchor);
+    if ((vnodeHook = props && props.onVnodeMounted) || needCallTransitionHooks || dirs) {
+      queuePostRenderEffect(() => {
+        vnodeHook && invokeVNodeHook(vnodeHook, parentComponent, vnode);
+        needCallTransitionHooks && transition.enter(el);
+        dirs && invokeDirectiveHook(vnode, null, parentComponent, "mounted");
+      }, parentSuspense);
+    }
+  }, "mountElement");
+  const setScopeId = /* @__PURE__ */ __name((el, vnode, scopeId, slotScopeIds, parentComponent) => {
+    if (scopeId) {
+      hostSetScopeId(el, scopeId);
+    }
+    if (slotScopeIds) {
+      for (let i2 = 0; i2 < slotScopeIds.length; i2++) {
+        hostSetScopeId(el, slotScopeIds[i2]);
+      }
+    }
+    if (parentComponent) {
+      let subTree = parentComponent.subTree;
+      if (false) {
+        subTree = filterSingleRoot(subTree.children) || subTree;
+      }
+      if (vnode === subTree) {
+        const parentVNode = parentComponent.vnode;
+        setScopeId(
+          el,
+          parentVNode,
+          parentVNode.scopeId,
+          parentVNode.slotScopeIds,
+          parentComponent.parent
+        );
+      }
+    }
+  }, "setScopeId");
+  const mountChildren = /* @__PURE__ */ __name((children, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized, start2 = 0) => {
+    for (let i2 = start2; i2 < children.length; i2++) {
+      const child = children[i2] = optimized ? cloneIfMounted(children[i2]) : normalizeVNode(children[i2]);
+      patch(
+        null,
+        child,
+        container,
+        anchor,
+        parentComponent,
+        parentSuspense,
+        namespace,
+        slotScopeIds,
+        optimized
+      );
+    }
+  }, "mountChildren");
+  const patchElement = /* @__PURE__ */ __name((n1, n2, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {
+    const el = n2.el = n1.el;
+    if (false) {
+      el.__vnode = n2;
+    }
+    let { patchFlag, dynamicChildren, dirs } = n2;
+    patchFlag |= n1.patchFlag & 16;
+    const oldProps = n1.props || EMPTY_OBJ;
+    const newProps = n2.props || EMPTY_OBJ;
+    let vnodeHook;
+    parentComponent && toggleRecurse(parentComponent, false);
+    if (vnodeHook = newProps.onVnodeBeforeUpdate) {
+      invokeVNodeHook(vnodeHook, parentComponent, n2, n1);
+    }
+    if (dirs) {
+      invokeDirectiveHook(n2, n1, parentComponent, "beforeUpdate");
+    }
+    parentComponent && toggleRecurse(parentComponent, true);
+    if (false) {
+      patchFlag = 0;
+      optimized = false;
+      dynamicChildren = null;
+    }
+    if (dynamicChildren) {
+      patchBlockChildren(
+        n1.dynamicChildren,
+        dynamicChildren,
+        el,
+        parentComponent,
+        parentSuspense,
+        resolveChildrenNamespace(n2, namespace),
+        slotScopeIds
+      );
+      if (false) {
+        traverseStaticChildren(n1, n2);
+      }
+    } else if (!optimized) {
+      patchChildren(
+        n1,
+        n2,
+        el,
+        null,
+        parentComponent,
+        parentSuspense,
+        resolveChildrenNamespace(n2, namespace),
+        slotScopeIds,
+        false
+      );
+    }
+    if (patchFlag > 0) {
+      if (patchFlag & 16) {
+        patchProps(
+          el,
+          n2,
+          oldProps,
+          newProps,
+          parentComponent,
+          parentSuspense,
+          namespace
+        );
+      } else {
+        if (patchFlag & 2) {
+          if (oldProps.class !== newProps.class) {
+            hostPatchProp(el, "class", null, newProps.class, namespace);
+          }
+        }
+        if (patchFlag & 4) {
+          hostPatchProp(el, "style", oldProps.style, newProps.style, namespace);
+        }
+        if (patchFlag & 8) {
+          const propsToUpdate = n2.dynamicProps;
+          for (let i2 = 0; i2 < propsToUpdate.length; i2++) {
+            const key = propsToUpdate[i2];
+            const prev2 = oldProps[key];
+            const next2 = newProps[key];
+            if (next2 !== prev2 || key === "value") {
+              hostPatchProp(
+                el,
+                key,
+                prev2,
+                next2,
+                namespace,
+                n1.children,
+                parentComponent,
+                parentSuspense,
+                unmountChildren
+              );
+            }
+          }
+        }
+      }
+      if (patchFlag & 1) {
+        if (n1.children !== n2.children) {
+          hostSetElementText(el, n2.children);
+        }
+      }
+    } else if (!optimized && dynamicChildren == null) {
+      patchProps(
+        el,
+        n2,
+        oldProps,
+        newProps,
+        parentComponent,
+        parentSuspense,
+        namespace
+      );
+    }
+    if ((vnodeHook = newProps.onVnodeUpdated) || dirs) {
+      queuePostRenderEffect(() => {
+        vnodeHook && invokeVNodeHook(vnodeHook, parentComponent, n2, n1);
+        dirs && invokeDirectiveHook(n2, n1, parentComponent, "updated");
+      }, parentSuspense);
+    }
+  }, "patchElement");
+  const patchBlockChildren = /* @__PURE__ */ __name((oldChildren, newChildren, fallbackContainer, parentComponent, parentSuspense, namespace, slotScopeIds) => {
+    for (let i2 = 0; i2 < newChildren.length; i2++) {
+      const oldVNode = oldChildren[i2];
+      const newVNode = newChildren[i2];
+      const container = (
+        // oldVNode may be an errored async setup() component inside Suspense
+        // which will not have a mounted element
+        oldVNode.el && // - In the case of a Fragment, we need to provide the actual parent
+        // of the Fragment itself so it can move its children.
+        (oldVNode.type === Fragment || // - In the case of different nodes, there is going to be a replacement
+        // which also requires the correct parent container
+        !isSameVNodeType(oldVNode, newVNode) || // - In the case of a component, it could contain anything.
+        oldVNode.shapeFlag & (6 | 64)) ? hostParentNode(oldVNode.el) : (
+          // In other cases, the parent container is not actually used so we
+          // just pass the block element here to avoid a DOM parentNode call.
+          fallbackContainer
+        )
+      );
+      patch(
+        oldVNode,
+        newVNode,
+        container,
+        null,
+        parentComponent,
+        parentSuspense,
+        namespace,
+        slotScopeIds,
+        true
+      );
+    }
+  }, "patchBlockChildren");
+  const patchProps = /* @__PURE__ */ __name((el, vnode, oldProps, newProps, parentComponent, parentSuspense, namespace) => {
+    if (oldProps !== newProps) {
+      if (oldProps !== EMPTY_OBJ) {
+        for (const key in oldProps) {
+          if (!isReservedProp(key) && !(key in newProps)) {
+            hostPatchProp(
+              el,
+              key,
+              oldProps[key],
+              null,
+              namespace,
+              vnode.children,
+              parentComponent,
+              parentSuspense,
+              unmountChildren
+            );
+          }
+        }
+      }
+      for (const key in newProps) {
+        if (isReservedProp(key)) continue;
+        const next2 = newProps[key];
+        const prev2 = oldProps[key];
+        if (next2 !== prev2 && key !== "value") {
+          hostPatchProp(
+            el,
+            key,
+            prev2,
+            next2,
+            namespace,
+            vnode.children,
+            parentComponent,
+            parentSuspense,
+            unmountChildren
+          );
+        }
+      }
+      if ("value" in newProps) {
+        hostPatchProp(el, "value", oldProps.value, newProps.value, namespace);
+      }
+    }
+  }, "patchProps");
+  const processFragment = /* @__PURE__ */ __name((n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {
+    const fragmentStartAnchor = n2.el = n1 ? n1.el : hostCreateText("");
+    const fragmentEndAnchor = n2.anchor = n1 ? n1.anchor : hostCreateText("");
+    let { patchFlag, dynamicChildren, slotScopeIds: fragmentSlotScopeIds } = n2;
+    if (false) {
+      patchFlag = 0;
+      optimized = false;
+      dynamicChildren = null;
+    }
+    if (fragmentSlotScopeIds) {
+      slotScopeIds = slotScopeIds ? slotScopeIds.concat(fragmentSlotScopeIds) : fragmentSlotScopeIds;
+    }
+    if (n1 == null) {
+      hostInsert(fragmentStartAnchor, container, anchor);
+      hostInsert(fragmentEndAnchor, container, anchor);
+      mountChildren(
+        // #10007
+        // such fragment like `<></>` will be compiled into
+        // a fragment which doesn't have a children.
+        // In this case fallback to an empty array
+        n2.children || [],
+        container,
+        fragmentEndAnchor,
+        parentComponent,
+        parentSuspense,
+        namespace,
+        slotScopeIds,
+        optimized
+      );
+    } else {
+      if (patchFlag > 0 && patchFlag & 64 && dynamicChildren && // #2715 the previous fragment could've been a BAILed one as a result
+      // of renderSlot() with no valid children
+      n1.dynamicChildren) {
+        patchBlockChildren(
+          n1.dynamicChildren,
+          dynamicChildren,
+          container,
+          parentComponent,
+          parentSuspense,
+          namespace,
+          slotScopeIds
+        );
+        if (false) {
+          traverseStaticChildren(n1, n2);
+        } else if (
+          // #2080 if the stable fragment has a key, it's a <template v-for> that may
+          //  get moved around. Make sure all root level vnodes inherit el.
+          // #2134 or if it's a component root, it may also get moved around
+          // as the component is being moved.
+          n2.key != null || parentComponent && n2 === parentComponent.subTree
+        ) {
+          traverseStaticChildren(
+            n1,
+            n2,
+            true
+            /* shallow */
+          );
+        }
+      } else {
+        patchChildren(
+          n1,
+          n2,
+          container,
+          fragmentEndAnchor,
+          parentComponent,
+          parentSuspense,
+          namespace,
+          slotScopeIds,
+          optimized
+        );
+      }
+    }
+  }, "processFragment");
+  const processComponent = /* @__PURE__ */ __name((n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {
+    n2.slotScopeIds = slotScopeIds;
+    if (n1 == null) {
+      if (n2.shapeFlag & 512) {
+        parentComponent.ctx.activate(
+          n2,
+          container,
+          anchor,
+          namespace,
+          optimized
+        );
+      } else {
+        mountComponent(
+          n2,
+          container,
+          anchor,
+          parentComponent,
+          parentSuspense,
+          namespace,
+          optimized
+        );
+      }
+    } else {
+      updateComponent(n1, n2, optimized);
+    }
+  }, "processComponent");
+  const mountComponent = /* @__PURE__ */ __name((initialVNode, container, anchor, parentComponent, parentSuspense, namespace, optimized) => {
+    const instance = initialVNode.component = createComponentInstance(
+      initialVNode,
+      parentComponent,
+      parentSuspense
+    );
+    if (false) {
+      registerHMR(instance);
+    }
+    if (false) {
+      pushWarningContext(initialVNode);
+      startMeasure(instance, `mount`);
+    }
+    if (isKeepAlive(initialVNode)) {
+      instance.ctx.renderer = internals;
+    }
+    {
+      if (false) {
+        startMeasure(instance, `init`);
+      }
+      setupComponent(instance);
+      if (false) {
+        endMeasure(instance, `init`);
+      }
+    }
+    if (instance.asyncDep) {
+      parentSuspense && parentSuspense.registerDep(instance, setupRenderEffect, optimized);
+      if (!initialVNode.el) {
+        const placeholder = instance.subTree = createVNode(Comment);
+        processCommentNode(null, placeholder, container, anchor);
+      }
+    } else {
+      setupRenderEffect(
+        instance,
+        initialVNode,
+        container,
+        anchor,
+        parentSuspense,
+        namespace,
+        optimized
+      );
+    }
+    if (false) {
+      popWarningContext();
+      endMeasure(instance, `mount`);
+    }
+  }, "mountComponent");
+  const updateComponent = /* @__PURE__ */ __name((n1, n2, optimized) => {
+    const instance = n2.component = n1.component;
+    if (shouldUpdateComponent(n1, n2, optimized)) {
+      if (instance.asyncDep && !instance.asyncResolved) {
+        if (false) {
+          pushWarningContext(n2);
+        }
+        updateComponentPreRender(instance, n2, optimized);
+        if (false) {
+          popWarningContext();
+        }
+        return;
+      } else {
+        instance.next = n2;
+        invalidateJob(instance.update);
+        instance.effect.dirty = true;
+        instance.update();
+      }
+    } else {
+      n2.el = n1.el;
+      instance.vnode = n2;
+    }
+  }, "updateComponent");
+  const setupRenderEffect = /* @__PURE__ */ __name((instance, initialVNode, container, anchor, parentSuspense, namespace, optimized) => {
+    const componentUpdateFn = /* @__PURE__ */ __name(() => {
+      if (!instance.isMounted) {
+        let vnodeHook;
+        const { el, props } = initialVNode;
+        const { bm, m, parent } = instance;
+        const isAsyncWrapperVNode = isAsyncWrapper(initialVNode);
+        toggleRecurse(instance, false);
+        if (bm) {
+          invokeArrayFns(bm);
+        }
+        if (!isAsyncWrapperVNode && (vnodeHook = props && props.onVnodeBeforeMount)) {
+          invokeVNodeHook(vnodeHook, parent, initialVNode);
+        }
+        toggleRecurse(instance, true);
+        if (el && hydrateNode) {
+          const hydrateSubTree = /* @__PURE__ */ __name(() => {
+            if (false) {
+              startMeasure(instance, `render`);
+            }
+            instance.subTree = renderComponentRoot(instance);
+            if (false) {
+              endMeasure(instance, `render`);
+            }
+            if (false) {
+              startMeasure(instance, `hydrate`);
+            }
+            hydrateNode(
+              el,
+              instance.subTree,
+              instance,
+              parentSuspense,
+              null
+            );
+            if (false) {
+              endMeasure(instance, `hydrate`);
+            }
+          }, "hydrateSubTree");
+          if (isAsyncWrapperVNode) {
+            initialVNode.type.__asyncLoader().then(
+              // note: we are moving the render call into an async callback,
+              // which means it won't track dependencies - but it's ok because
+              // a server-rendered async wrapper is already in resolved state
+              // and it will never need to change.
+              () => !instance.isUnmounted && hydrateSubTree()
+            );
+          } else {
+            hydrateSubTree();
+          }
+        } else {
+          if (false) {
+            startMeasure(instance, `render`);
+          }
+          const subTree = instance.subTree = renderComponentRoot(instance);
+          if (false) {
+            endMeasure(instance, `render`);
+          }
+          if (false) {
+            startMeasure(instance, `patch`);
+          }
+          patch(
+            null,
+            subTree,
+            container,
+            anchor,
+            instance,
+            parentSuspense,
+            namespace
+          );
+          if (false) {
+            endMeasure(instance, `patch`);
+          }
+          initialVNode.el = subTree.el;
+        }
+        if (m) {
+          queuePostRenderEffect(m, parentSuspense);
+        }
+        if (!isAsyncWrapperVNode && (vnodeHook = props && props.onVnodeMounted)) {
+          const scopedInitialVNode = initialVNode;
+          queuePostRenderEffect(
+            () => invokeVNodeHook(vnodeHook, parent, scopedInitialVNode),
+            parentSuspense
+          );
+        }
+        if (initialVNode.shapeFlag & 256 || parent && isAsyncWrapper(parent.vnode) && parent.vnode.shapeFlag & 256) {
+          instance.a && queuePostRenderEffect(instance.a, parentSuspense);
+        }
+        instance.isMounted = true;
+        if (false) {
+          devtoolsComponentAdded(instance);
+        }
+        initialVNode = container = anchor = null;
+      } else {
+        let { next: next2, bu, u, parent, vnode } = instance;
+        {
+          const nonHydratedAsyncRoot = locateNonHydratedAsyncRoot(instance);
+          if (nonHydratedAsyncRoot) {
+            if (next2) {
+              next2.el = vnode.el;
+              updateComponentPreRender(instance, next2, optimized);
+            }
+            nonHydratedAsyncRoot.asyncDep.then(() => {
+              if (!instance.isUnmounted) {
+                componentUpdateFn();
+              }
+            });
+            return;
+          }
+        }
+        let originNext = next2;
+        let vnodeHook;
+        if (false) {
+          pushWarningContext(next2 || instance.vnode);
+        }
+        toggleRecurse(instance, false);
+        if (next2) {
+          next2.el = vnode.el;
+          updateComponentPreRender(instance, next2, optimized);
+        } else {
+          next2 = vnode;
+        }
+        if (bu) {
+          invokeArrayFns(bu);
+        }
+        if (vnodeHook = next2.props && next2.props.onVnodeBeforeUpdate) {
+          invokeVNodeHook(vnodeHook, parent, next2, vnode);
+        }
+        toggleRecurse(instance, true);
+        if (false) {
+          startMeasure(instance, `render`);
+        }
+        const nextTree = renderComponentRoot(instance);
+        if (false) {
+          endMeasure(instance, `render`);
+        }
+        const prevTree = instance.subTree;
+        instance.subTree = nextTree;
+        if (false) {
+          startMeasure(instance, `patch`);
+        }
+        patch(
+          prevTree,
+          nextTree,
+          // parent may have changed if it's in a teleport
+          hostParentNode(prevTree.el),
+          // anchor may have changed if it's in a fragment
+          getNextHostNode(prevTree),
+          instance,
+          parentSuspense,
+          namespace
+        );
+        if (false) {
+          endMeasure(instance, `patch`);
+        }
+        next2.el = nextTree.el;
+        if (originNext === null) {
+          updateHOCHostEl(instance, nextTree.el);
+        }
+        if (u) {
+          queuePostRenderEffect(u, parentSuspense);
+        }
+        if (vnodeHook = next2.props && next2.props.onVnodeUpdated) {
+          queuePostRenderEffect(
+            () => invokeVNodeHook(vnodeHook, parent, next2, vnode),
+            parentSuspense
+          );
+        }
+        if (false) {
+          devtoolsComponentUpdated(instance);
+        }
+        if (false) {
+          popWarningContext();
+        }
+      }
+    }, "componentUpdateFn");
+    const effect2 = instance.effect = new ReactiveEffect(
+      componentUpdateFn,
+      NOOP,
+      () => queueJob(update2),
+      instance.scope
+      // track it in component's effect scope
+    );
+    const update2 = instance.update = () => {
+      if (effect2.dirty) {
+        effect2.run();
+      }
+    };
+    update2.id = instance.uid;
+    toggleRecurse(instance, true);
+    if (false) {
+      effect2.onTrack = instance.rtc ? (e) => invokeArrayFns(instance.rtc, e) : void 0;
+      effect2.onTrigger = instance.rtg ? (e) => invokeArrayFns(instance.rtg, e) : void 0;
+      update2.ownerInstance = instance;
+    }
+    update2();
+  }, "setupRenderEffect");
+  const updateComponentPreRender = /* @__PURE__ */ __name((instance, nextVNode, optimized) => {
+    nextVNode.component = instance;
+    const prevProps = instance.vnode.props;
+    instance.vnode = nextVNode;
+    instance.next = null;
+    updateProps(instance, nextVNode.props, prevProps, optimized);
+    updateSlots(instance, nextVNode.children, optimized);
+    pauseTracking();
+    flushPreFlushCbs(instance);
+    resetTracking();
+  }, "updateComponentPreRender");
+  const patchChildren = /* @__PURE__ */ __name((n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized = false) => {
+    const c1 = n1 && n1.children;
+    const prevShapeFlag = n1 ? n1.shapeFlag : 0;
+    const c2 = n2.children;
+    const { patchFlag, shapeFlag } = n2;
+    if (patchFlag > 0) {
+      if (patchFlag & 128) {
+        patchKeyedChildren(
+          c1,
+          c2,
+          container,
+          anchor,
+          parentComponent,
+          parentSuspense,
+          namespace,
+          slotScopeIds,
+          optimized
+        );
+        return;
+      } else if (patchFlag & 256) {
+        patchUnkeyedChildren(
+          c1,
+          c2,
+          container,
+          anchor,
+          parentComponent,
+          parentSuspense,
+          namespace,
+          slotScopeIds,
+          optimized
+        );
+        return;
+      }
+    }
+    if (shapeFlag & 8) {
+      if (prevShapeFlag & 16) {
+        unmountChildren(c1, parentComponent, parentSuspense);
+      }
+      if (c2 !== c1) {
+        hostSetElementText(container, c2);
+      }
+    } else {
+      if (prevShapeFlag & 16) {
+        if (shapeFlag & 16) {
+          patchKeyedChildren(
+            c1,
+            c2,
+            container,
+            anchor,
+            parentComponent,
+            parentSuspense,
+            namespace,
+            slotScopeIds,
+            optimized
+          );
+        } else {
+          unmountChildren(c1, parentComponent, parentSuspense, true);
+        }
+      } else {
+        if (prevShapeFlag & 8) {
+          hostSetElementText(container, "");
+        }
+        if (shapeFlag & 16) {
+          mountChildren(
+            c2,
+            container,
+            anchor,
+            parentComponent,
+            parentSuspense,
+            namespace,
+            slotScopeIds,
+            optimized
+          );
+        }
+      }
+    }
+  }, "patchChildren");
+  const patchUnkeyedChildren = /* @__PURE__ */ __name((c1, c2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {
+    c1 = c1 || EMPTY_ARR;
+    c2 = c2 || EMPTY_ARR;
+    const oldLength = c1.length;
+    const newLength = c2.length;
+    const commonLength = Math.min(oldLength, newLength);
+    let i2;
+    for (i2 = 0; i2 < commonLength; i2++) {
+      const nextChild = c2[i2] = optimized ? cloneIfMounted(c2[i2]) : normalizeVNode(c2[i2]);
+      patch(
+        c1[i2],
+        nextChild,
+        container,
+        null,
+        parentComponent,
+        parentSuspense,
+        namespace,
+        slotScopeIds,
+        optimized
+      );
+    }
+    if (oldLength > newLength) {
+      unmountChildren(
+        c1,
+        parentComponent,
+        parentSuspense,
+        true,
+        false,
+        commonLength
+      );
+    } else {
+      mountChildren(
+        c2,
+        container,
+        anchor,
+        parentComponent,
+        parentSuspense,
+        namespace,
+        slotScopeIds,
+        optimized,
+        commonLength
+      );
+    }
+  }, "patchUnkeyedChildren");
+  const patchKeyedChildren = /* @__PURE__ */ __name((c1, c2, container, parentAnchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {
+    let i2 = 0;
+    const l2 = c2.length;
+    let e1 = c1.length - 1;
+    let e2 = l2 - 1;
+    while (i2 <= e1 && i2 <= e2) {
+      const n1 = c1[i2];
+      const n2 = c2[i2] = optimized ? cloneIfMounted(c2[i2]) : normalizeVNode(c2[i2]);
+      if (isSameVNodeType(n1, n2)) {
+        patch(
+          n1,
+          n2,
+          container,
+          null,
+          parentComponent,
+          parentSuspense,
+          namespace,
+          slotScopeIds,
+          optimized
+        );
+      } else {
+        break;
+      }
+      i2++;
+    }
+    while (i2 <= e1 && i2 <= e2) {
+      const n1 = c1[e1];
+      const n2 = c2[e2] = optimized ? cloneIfMounted(c2[e2]) : normalizeVNode(c2[e2]);
+      if (isSameVNodeType(n1, n2)) {
+        patch(
+          n1,
+          n2,
+          container,
+          null,
+          parentComponent,
+          parentSuspense,
+          namespace,
+          slotScopeIds,
+          optimized
+        );
+      } else {
+        break;
+      }
+      e1--;
+      e2--;
+    }
+    if (i2 > e1) {
+      if (i2 <= e2) {
+        const nextPos = e2 + 1;
+        const anchor = nextPos < l2 ? c2[nextPos].el : parentAnchor;
+        while (i2 <= e2) {
+          patch(
+            null,
+            c2[i2] = optimized ? cloneIfMounted(c2[i2]) : normalizeVNode(c2[i2]),
+            container,
+            anchor,
+            parentComponent,
+            parentSuspense,
+            namespace,
+            slotScopeIds,
+            optimized
+          );
+          i2++;
+        }
+      }
+    } else if (i2 > e2) {
+      while (i2 <= e1) {
+        unmount(c1[i2], parentComponent, parentSuspense, true);
+        i2++;
+      }
+    } else {
+      const s1 = i2;
+      const s2 = i2;
+      const keyToNewIndexMap = /* @__PURE__ */ new Map();
+      for (i2 = s2; i2 <= e2; i2++) {
+        const nextChild = c2[i2] = optimized ? cloneIfMounted(c2[i2]) : normalizeVNode(c2[i2]);
+        if (nextChild.key != null) {
+          if (false) {
+            warn$1(
+              `Duplicate keys found during update:`,
+              JSON.stringify(nextChild.key),
+              `Make sure keys are unique.`
+            );
+          }
+          keyToNewIndexMap.set(nextChild.key, i2);
+        }
+      }
+      let j;
+      let patched = 0;
+      const toBePatched = e2 - s2 + 1;
+      let moved = false;
+      let maxNewIndexSoFar = 0;
+      const newIndexToOldIndexMap = new Array(toBePatched);
+      for (i2 = 0; i2 < toBePatched; i2++) newIndexToOldIndexMap[i2] = 0;
+      for (i2 = s1; i2 <= e1; i2++) {
+        const prevChild = c1[i2];
+        if (patched >= toBePatched) {
+          unmount(prevChild, parentComponent, parentSuspense, true);
+          continue;
+        }
+        let newIndex;
+        if (prevChild.key != null) {
+          newIndex = keyToNewIndexMap.get(prevChild.key);
+        } else {
+          for (j = s2; j <= e2; j++) {
+            if (newIndexToOldIndexMap[j - s2] === 0 && isSameVNodeType(prevChild, c2[j])) {
+              newIndex = j;
+              break;
+            }
+          }
+        }
+        if (newIndex === void 0) {
+          unmount(prevChild, parentComponent, parentSuspense, true);
+        } else {
+          newIndexToOldIndexMap[newIndex - s2] = i2 + 1;
+          if (newIndex >= maxNewIndexSoFar) {
+            maxNewIndexSoFar = newIndex;
+          } else {
+            moved = true;
+          }
+          patch(
+            prevChild,
+            c2[newIndex],
+            container,
+            null,
+            parentComponent,
+            parentSuspense,
+            namespace,
+            slotScopeIds,
+            optimized
+          );
+          patched++;
+        }
+      }
+      const increasingNewIndexSequence = moved ? getSequence(newIndexToOldIndexMap) : EMPTY_ARR;
+      j = increasingNewIndexSequence.length - 1;
+      for (i2 = toBePatched - 1; i2 >= 0; i2--) {
+        const nextIndex = s2 + i2;
+        const nextChild = c2[nextIndex];
+        const anchor = nextIndex + 1 < l2 ? c2[nextIndex + 1].el : parentAnchor;
+        if (newIndexToOldIndexMap[i2] === 0) {
+          patch(
+            null,
+            nextChild,
+            container,
+            anchor,
+            parentComponent,
+            parentSuspense,
+            namespace,
+            slotScopeIds,
+            optimized
+          );
+        } else if (moved) {
+          if (j < 0 || i2 !== increasingNewIndexSequence[j]) {
+            move(nextChild, container, anchor, 2);
+          } else {
+            j--;
+          }
+        }
+      }
+    }
+  }, "patchKeyedChildren");
+  const move = /* @__PURE__ */ __name((vnode, container, anchor, moveType, parentSuspense = null) => {
+    const { el, type, transition, children, shapeFlag } = vnode;
+    if (shapeFlag & 6) {
+      move(vnode.component.subTree, container, anchor, moveType);
+      return;
+    }
+    if (shapeFlag & 128) {
+      vnode.suspense.move(container, anchor, moveType);
+      return;
+    }
+    if (shapeFlag & 64) {
+      type.move(vnode, container, anchor, internals);
+      return;
+    }
+    if (type === Fragment) {
+      hostInsert(el, container, anchor);
+      for (let i2 = 0; i2 < children.length; i2++) {
+        move(children[i2], container, anchor, moveType);
+      }
+      hostInsert(vnode.anchor, container, anchor);
+      return;
+    }
+    if (type === Static) {
+      moveStaticNode(vnode, container, anchor);
+      return;
+    }
+    const needTransition2 = moveType !== 2 && shapeFlag & 1 && transition;
+    if (needTransition2) {
+      if (moveType === 0) {
+        transition.beforeEnter(el);
+        hostInsert(el, container, anchor);
+        queuePostRenderEffect(() => transition.enter(el), parentSuspense);
+      } else {
+        const { leave, delayLeave, afterLeave } = transition;
+        const remove222 = /* @__PURE__ */ __name(() => hostInsert(el, container, anchor), "remove22");
+        const performLeave = /* @__PURE__ */ __name(() => {
+          leave(el, () => {
+            remove222();
+            afterLeave && afterLeave();
+          });
+        }, "performLeave");
+        if (delayLeave) {
+          delayLeave(el, remove222, performLeave);
+        } else {
+          performLeave();
+        }
+      }
+    } else {
+      hostInsert(el, container, anchor);
+    }
+  }, "move");
+  const unmount = /* @__PURE__ */ __name((vnode, parentComponent, parentSuspense, doRemove = false, optimized = false) => {
+    const {
+      type,
+      props,
+      ref: ref3,
+      children,
+      dynamicChildren,
+      shapeFlag,
+      patchFlag,
+      dirs,
+      memoIndex
+    } = vnode;
+    if (patchFlag === -2) {
+      optimized = false;
+    }
+    if (ref3 != null) {
+      setRef(ref3, null, parentSuspense, vnode, true);
+    }
+    if (memoIndex != null) {
+      parentComponent.renderCache[memoIndex] = void 0;
+    }
+    if (shapeFlag & 256) {
+      parentComponent.ctx.deactivate(vnode);
+      return;
+    }
+    const shouldInvokeDirs = shapeFlag & 1 && dirs;
+    const shouldInvokeVnodeHook = !isAsyncWrapper(vnode);
+    let vnodeHook;
+    if (shouldInvokeVnodeHook && (vnodeHook = props && props.onVnodeBeforeUnmount)) {
+      invokeVNodeHook(vnodeHook, parentComponent, vnode);
+    }
+    if (shapeFlag & 6) {
+      unmountComponent(vnode.component, parentSuspense, doRemove);
+    } else {
+      if (shapeFlag & 128) {
+        vnode.suspense.unmount(parentSuspense, doRemove);
+        return;
+      }
+      if (shouldInvokeDirs) {
+        invokeDirectiveHook(vnode, null, parentComponent, "beforeUnmount");
+      }
+      if (shapeFlag & 64) {
+        vnode.type.remove(
+          vnode,
+          parentComponent,
+          parentSuspense,
+          internals,
+          doRemove
+        );
+      } else if (dynamicChildren && // #1153: fast path should not be taken for non-stable (v-for) fragments
+      (type !== Fragment || patchFlag > 0 && patchFlag & 64)) {
+        unmountChildren(
+          dynamicChildren,
+          parentComponent,
+          parentSuspense,
+          false,
+          true
+        );
+      } else if (type === Fragment && patchFlag & (128 | 256) || !optimized && shapeFlag & 16) {
+        unmountChildren(children, parentComponent, parentSuspense);
+      }
+      if (doRemove) {
+        remove22(vnode);
+      }
+    }
+    if (shouldInvokeVnodeHook && (vnodeHook = props && props.onVnodeUnmounted) || shouldInvokeDirs) {
+      queuePostRenderEffect(() => {
+        vnodeHook && invokeVNodeHook(vnodeHook, parentComponent, vnode);
+        shouldInvokeDirs && invokeDirectiveHook(vnode, null, parentComponent, "unmounted");
+      }, parentSuspense);
+    }
+  }, "unmount");
+  const remove22 = /* @__PURE__ */ __name((vnode) => {
+    const { type, el, anchor, transition } = vnode;
+    if (type === Fragment) {
+      if (false) {
+        vnode.children.forEach((child) => {
+          if (child.type === Comment) {
+            hostRemove(child.el);
+          } else {
+            remove22(child);
+          }
+        });
+      } else {
+        removeFragment(el, anchor);
+      }
+      return;
+    }
+    if (type === Static) {
+      removeStaticNode(vnode);
+      return;
+    }
+    const performRemove = /* @__PURE__ */ __name(() => {
+      hostRemove(el);
+      if (transition && !transition.persisted && transition.afterLeave) {
+        transition.afterLeave();
+      }
+    }, "performRemove");
+    if (vnode.shapeFlag & 1 && transition && !transition.persisted) {
+      const { leave, delayLeave } = transition;
+      const performLeave = /* @__PURE__ */ __name(() => leave(el, performRemove), "performLeave");
+      if (delayLeave) {
+        delayLeave(vnode.el, performRemove, performLeave);
+      } else {
+        performLeave();
+      }
+    } else {
+      performRemove();
+    }
+  }, "remove2");
+  const removeFragment = /* @__PURE__ */ __name((cur, end) => {
+    let next2;
+    while (cur !== end) {
+      next2 = hostNextSibling(cur);
+      hostRemove(cur);
+      cur = next2;
+    }
+    hostRemove(end);
+  }, "removeFragment");
+  const unmountComponent = /* @__PURE__ */ __name((instance, parentSuspense, doRemove) => {
+    if (false) {
+      unregisterHMR(instance);
+    }
+    const { bum, scope, update: update2, subTree, um, m, a } = instance;
+    invalidateMount(m);
+    invalidateMount(a);
+    if (bum) {
+      invokeArrayFns(bum);
+    }
+    scope.stop();
+    if (update2) {
+      update2.active = false;
+      unmount(subTree, instance, parentSuspense, doRemove);
+    }
+    if (um) {
+      queuePostRenderEffect(um, parentSuspense);
+    }
+    queuePostRenderEffect(() => {
+      instance.isUnmounted = true;
+    }, parentSuspense);
+    if (parentSuspense && parentSuspense.pendingBranch && !parentSuspense.isUnmounted && instance.asyncDep && !instance.asyncResolved && instance.suspenseId === parentSuspense.pendingId) {
+      parentSuspense.deps--;
+      if (parentSuspense.deps === 0) {
+        parentSuspense.resolve();
+      }
+    }
+    if (false) {
+      devtoolsComponentRemoved(instance);
+    }
+  }, "unmountComponent");
+  const unmountChildren = /* @__PURE__ */ __name((children, parentComponent, parentSuspense, doRemove = false, optimized = false, start2 = 0) => {
+    for (let i2 = start2; i2 < children.length; i2++) {
+      unmount(children[i2], parentComponent, parentSuspense, doRemove, optimized);
+    }
+  }, "unmountChildren");
+  const getNextHostNode = /* @__PURE__ */ __name((vnode) => {
+    if (vnode.shapeFlag & 6) {
+      return getNextHostNode(vnode.component.subTree);
+    }
+    if (vnode.shapeFlag & 128) {
+      return vnode.suspense.next();
+    }
+    return hostNextSibling(vnode.anchor || vnode.el);
+  }, "getNextHostNode");
+  let isFlushing2 = false;
+  const render2 = /* @__PURE__ */ __name((vnode, container, namespace) => {
+    if (vnode == null) {
+      if (container._vnode) {
+        unmount(container._vnode, null, null, true);
+      }
+    } else {
+      patch(
+        container._vnode || null,
+        vnode,
+        container,
+        null,
+        null,
+        null,
+        namespace
+      );
+    }
+    if (!isFlushing2) {
+      isFlushing2 = true;
+      flushPreFlushCbs();
+      flushPostFlushCbs();
+      isFlushing2 = false;
+    }
+    container._vnode = vnode;
+  }, "render");
+  const internals = {
+    p: patch,
+    um: unmount,
+    m: move,
+    r: remove22,
+    mt: mountComponent,
+    mc: mountChildren,
+    pc: patchChildren,
+    pbc: patchBlockChildren,
+    n: getNextHostNode,
+    o: options3
+  };
+  let hydrate2;
+  let hydrateNode;
+  if (createHydrationFns) {
+    [hydrate2, hydrateNode] = createHydrationFns(
+      internals
+    );
+  }
+  return {
+    render: render2,
+    hydrate: hydrate2,
+    createApp: createAppAPI(render2, hydrate2)
+  };
+}
+__name(baseCreateRenderer, "baseCreateRenderer");
+function resolveChildrenNamespace({ type, props }, currentNamespace) {
+  return currentNamespace === "svg" && type === "foreignObject" || currentNamespace === "mathml" && type === "annotation-xml" && props && props.encoding && props.encoding.includes("html") ? void 0 : currentNamespace;
+}
+__name(resolveChildrenNamespace, "resolveChildrenNamespace");
+function toggleRecurse({ effect: effect2, update: update2 }, allowed) {
+  effect2.allowRecurse = update2.allowRecurse = allowed;
+}
+__name(toggleRecurse, "toggleRecurse");
+function needTransition(parentSuspense, transition) {
+  return (!parentSuspense || parentSuspense && !parentSuspense.pendingBranch) && transition && !transition.persisted;
+}
+__name(needTransition, "needTransition");
+function traverseStaticChildren(n1, n2, shallow = false) {
+  const ch1 = n1.children;
+  const ch2 = n2.children;
+  if (isArray$4(ch1) && isArray$4(ch2)) {
+    for (let i2 = 0; i2 < ch1.length; i2++) {
+      const c1 = ch1[i2];
+      let c2 = ch2[i2];
+      if (c2.shapeFlag & 1 && !c2.dynamicChildren) {
+        if (c2.patchFlag <= 0 || c2.patchFlag === 32) {
+          c2 = ch2[i2] = cloneIfMounted(ch2[i2]);
+          c2.el = c1.el;
+        }
+        if (!shallow && c2.patchFlag !== -2)
+          traverseStaticChildren(c1, c2);
+      }
+      if (c2.type === Text) {
+        c2.el = c1.el;
+      }
+      if (false) {
+        c2.el = c1.el;
+      }
+    }
+  }
+}
+__name(traverseStaticChildren, "traverseStaticChildren");
+function getSequence(arr) {
+  const p2 = arr.slice();
+  const result = [0];
+  let i2, j, u, v2, c;
+  const len = arr.length;
+  for (i2 = 0; i2 < len; i2++) {
+    const arrI = arr[i2];
+    if (arrI !== 0) {
+      j = result[result.length - 1];
+      if (arr[j] < arrI) {
+        p2[i2] = j;
+        result.push(i2);
+        continue;
+      }
+      u = 0;
+      v2 = result.length - 1;
+      while (u < v2) {
+        c = u + v2 >> 1;
+        if (arr[result[c]] < arrI) {
+          u = c + 1;
+        } else {
+          v2 = c;
+        }
+      }
+      if (arrI < arr[result[u]]) {
+        if (u > 0) {
+          p2[i2] = result[u - 1];
+        }
+        result[u] = i2;
+      }
+    }
+  }
+  u = result.length;
+  v2 = result[u - 1];
+  while (u-- > 0) {
+    result[u] = v2;
+    v2 = p2[v2];
+  }
+  return result;
+}
+__name(getSequence, "getSequence");
+function locateNonHydratedAsyncRoot(instance) {
+  const subComponent = instance.subTree.component;
+  if (subComponent) {
+    if (subComponent.asyncDep && !subComponent.asyncResolved) {
+      return subComponent;
+    } else {
+      return locateNonHydratedAsyncRoot(subComponent);
+    }
+  }
+}
+__name(locateNonHydratedAsyncRoot, "locateNonHydratedAsyncRoot");
+function invalidateMount(hooks) {
+  if (hooks) {
+    for (let i2 = 0; i2 < hooks.length; i2++) hooks[i2].active = false;
+  }
+}
+__name(invalidateMount, "invalidateMount");
+const ssrContextKey = Symbol.for("v-scx");
+const useSSRContext = /* @__PURE__ */ __name(() => {
+  {
+    const ctx = inject(ssrContextKey);
+    if (!ctx) {
+    }
+    return ctx;
+  }
+}, "useSSRContext");
+function watchEffect(effect2, options3) {
+  return doWatch(effect2, null, options3);
+}
+__name(watchEffect, "watchEffect");
+function watchPostEffect(effect2, options3) {
+  return doWatch(
+    effect2,
+    null,
+    false ? extend$1({}, options3, { flush: "post" }) : { flush: "post" }
+  );
+}
+__name(watchPostEffect, "watchPostEffect");
+function watchSyncEffect(effect2, options3) {
+  return doWatch(
+    effect2,
+    null,
+    false ? extend$1({}, options3, { flush: "sync" }) : { flush: "sync" }
+  );
+}
+__name(watchSyncEffect, "watchSyncEffect");
+const INITIAL_WATCHER_VALUE = {};
+function watch(source, cb, options3) {
+  if (false) {
+    warn$1(
+      `\`watch(fn, options?)\` signature has been moved to a separate API. Use \`watchEffect(fn, options?)\` instead. \`watch\` now only supports \`watch(source, cb, options?) signature.`
+    );
+  }
+  return doWatch(source, cb, options3);
+}
+__name(watch, "watch");
+function doWatch(source, cb, {
+  immediate,
+  deep,
+  flush,
+  once: once2,
+  onTrack,
+  onTrigger
+} = EMPTY_OBJ) {
+  if (cb && once2) {
+    const _cb = cb;
+    cb = /* @__PURE__ */ __name((...args) => {
+      _cb(...args);
+      unwatch();
+    }, "cb");
+  }
+  if (false) {
+    warn$1(
+      `watch() "deep" option with number value will be used as watch depth in future versions. Please use a boolean instead to avoid potential breakage.`
+    );
+  }
+  if (false) {
+    if (immediate !== void 0) {
+      warn$1(
+        `watch() "immediate" option is only respected when using the watch(source, callback, options?) signature.`
+      );
+    }
+    if (deep !== void 0) {
+      warn$1(
+        `watch() "deep" option is only respected when using the watch(source, callback, options?) signature.`
+      );
+    }
+    if (once2 !== void 0) {
+      warn$1(
+        `watch() "once" option is only respected when using the watch(source, callback, options?) signature.`
+      );
+    }
+  }
+  const warnInvalidSource = /* @__PURE__ */ __name((s) => {
+    warn$1(
+      `Invalid watch source: `,
+      s,
+      `A watch source can only be a getter/effect function, a ref, a reactive object, or an array of these types.`
+    );
+  }, "warnInvalidSource");
+  const instance = currentInstance;
+  const reactiveGetter = /* @__PURE__ */ __name((source2) => deep === true ? source2 : (
+    // for deep: false, only traverse root-level properties
+    traverse(source2, deep === false ? 1 : void 0)
+  ), "reactiveGetter");
+  let getter;
+  let forceTrigger = false;
+  let isMultiSource = false;
+  if (isRef(source)) {
+    getter = /* @__PURE__ */ __name(() => source.value, "getter");
+    forceTrigger = isShallow(source);
+  } else if (isReactive(source)) {
+    getter = /* @__PURE__ */ __name(() => reactiveGetter(source), "getter");
+    forceTrigger = true;
+  } else if (isArray$4(source)) {
+    isMultiSource = true;
+    forceTrigger = source.some((s) => isReactive(s) || isShallow(s));
+    getter = /* @__PURE__ */ __name(() => source.map((s) => {
+      if (isRef(s)) {
+        return s.value;
+      } else if (isReactive(s)) {
+        return reactiveGetter(s);
+      } else if (isFunction$4(s)) {
+        return callWithErrorHandling(s, instance, 2);
+      } else {
+      }
+    }), "getter");
+  } else if (isFunction$4(source)) {
+    if (cb) {
+      getter = /* @__PURE__ */ __name(() => callWithErrorHandling(source, instance, 2), "getter");
+    } else {
+      getter = /* @__PURE__ */ __name(() => {
+        if (cleanup) {
+          cleanup();
+        }
+        return callWithAsyncErrorHandling(
+          source,
+          instance,
+          3,
+          [onCleanup]
+        );
+      }, "getter");
+    }
+  } else {
+    getter = NOOP;
+  }
+  if (cb && deep) {
+    const baseGetter = getter;
+    getter = /* @__PURE__ */ __name(() => traverse(baseGetter()), "getter");
+  }
+  let cleanup;
+  let onCleanup = /* @__PURE__ */ __name((fn) => {
+    cleanup = effect2.onStop = () => {
+      callWithErrorHandling(fn, instance, 4);
+      cleanup = effect2.onStop = void 0;
+    };
+  }, "onCleanup");
+  let ssrCleanup;
+  if (isInSSRComponentSetup) {
+    onCleanup = NOOP;
+    if (!cb) {
+      getter();
+    } else if (immediate) {
+      callWithAsyncErrorHandling(cb, instance, 3, [
+        getter(),
+        isMultiSource ? [] : void 0,
+        onCleanup
+      ]);
+    }
+    if (flush === "sync") {
+      const ctx = useSSRContext();
+      ssrCleanup = ctx.__watcherHandles || (ctx.__watcherHandles = []);
+    } else {
+      return NOOP;
+    }
+  }
+  let oldValue = isMultiSource ? new Array(source.length).fill(INITIAL_WATCHER_VALUE) : INITIAL_WATCHER_VALUE;
+  const job = /* @__PURE__ */ __name(() => {
+    if (!effect2.active || !effect2.dirty) {
+      return;
+    }
+    if (cb) {
+      const newValue = effect2.run();
+      if (deep || forceTrigger || (isMultiSource ? newValue.some((v2, i2) => hasChanged(v2, oldValue[i2])) : hasChanged(newValue, oldValue)) || false) {
+        if (cleanup) {
+          cleanup();
+        }
+        callWithAsyncErrorHandling(cb, instance, 3, [
+          newValue,
+          // pass undefined as the old value when it's changed for the first time
+          oldValue === INITIAL_WATCHER_VALUE ? void 0 : isMultiSource && oldValue[0] === INITIAL_WATCHER_VALUE ? [] : oldValue,
+          onCleanup
+        ]);
+        oldValue = newValue;
+      }
+    } else {
+      effect2.run();
+    }
+  }, "job");
+  job.allowRecurse = !!cb;
+  let scheduler;
+  if (flush === "sync") {
+    scheduler = job;
+  } else if (flush === "post") {
+    scheduler = /* @__PURE__ */ __name(() => queuePostRenderEffect(job, instance && instance.suspense), "scheduler");
+  } else {
+    job.pre = true;
+    if (instance) job.id = instance.uid;
+    scheduler = /* @__PURE__ */ __name(() => queueJob(job), "scheduler");
+  }
+  const effect2 = new ReactiveEffect(getter, NOOP, scheduler);
+  const scope = getCurrentScope();
+  const unwatch = /* @__PURE__ */ __name(() => {
+    effect2.stop();
+    if (scope) {
+      remove$1(scope.effects, effect2);
+    }
+  }, "unwatch");
+  if (false) {
+    effect2.onTrack = onTrack;
+    effect2.onTrigger = onTrigger;
+  }
+  if (cb) {
+    if (immediate) {
+      job();
+    } else {
+      oldValue = effect2.run();
+    }
+  } else if (flush === "post") {
+    queuePostRenderEffect(
+      effect2.run.bind(effect2),
+      instance && instance.suspense
+    );
+  } else {
+    effect2.run();
+  }
+  if (ssrCleanup) ssrCleanup.push(unwatch);
+  return unwatch;
+}
+__name(doWatch, "doWatch");
+function instanceWatch(source, value3, options3) {
+  const publicThis = this.proxy;
+  const getter = isString$5(source) ? source.includes(".") ? createPathGetter(publicThis, source) : () => publicThis[source] : source.bind(publicThis, publicThis);
+  let cb;
+  if (isFunction$4(value3)) {
+    cb = value3;
+  } else {
+    cb = value3.handler;
+    options3 = value3;
+  }
+  const reset = setCurrentInstance(this);
+  const res = doWatch(getter, cb.bind(publicThis), options3);
+  reset();
+  return res;
+}
+__name(instanceWatch, "instanceWatch");
+function createPathGetter(ctx, path) {
+  const segments = path.split(".");
+  return () => {
+    let cur = ctx;
+    for (let i2 = 0; i2 < segments.length && cur; i2++) {
+      cur = cur[segments[i2]];
+    }
+    return cur;
+  };
+}
+__name(createPathGetter, "createPathGetter");
+function traverse(value3, depth = Infinity, seen2) {
+  if (depth <= 0 || !isObject$6(value3) || value3["__v_skip"]) {
+    return value3;
+  }
+  seen2 = seen2 || /* @__PURE__ */ new Set();
+  if (seen2.has(value3)) {
+    return value3;
+  }
+  seen2.add(value3);
+  depth--;
+  if (isRef(value3)) {
+    traverse(value3.value, depth, seen2);
+  } else if (isArray$4(value3)) {
+    for (let i2 = 0; i2 < value3.length; i2++) {
+      traverse(value3[i2], depth, seen2);
+    }
+  } else if (isSet(value3) || isMap(value3)) {
+    value3.forEach((v2) => {
+      traverse(v2, depth, seen2);
+    });
+  } else if (isPlainObject$3(value3)) {
+    for (const key in value3) {
+      traverse(value3[key], depth, seen2);
+    }
+    for (const key of Object.getOwnPropertySymbols(value3)) {
+      if (Object.prototype.propertyIsEnumerable.call(value3, key)) {
+        traverse(value3[key], depth, seen2);
+      }
+    }
+  }
+  return value3;
+}
+__name(traverse, "traverse");
+const isKeepAlive = /* @__PURE__ */ __name((vnode) => vnode.type.__isKeepAlive, "isKeepAlive");
+const KeepAliveImpl = {
+  name: `KeepAlive`,
+  // Marker for special handling inside the renderer. We are not using a ===
+  // check directly on KeepAlive in the renderer, because importing it directly
+  // would prevent it from being tree-shaken.
+  __isKeepAlive: true,
+  props: {
+    include: [String, RegExp, Array],
+    exclude: [String, RegExp, Array],
+    max: [String, Number]
+  },
+  setup(props, { slots }) {
+    const instance = getCurrentInstance();
+    const sharedContext = instance.ctx;
+    if (!sharedContext.renderer) {
+      return () => {
+        const children = slots.default && slots.default();
+        return children && children.length === 1 ? children[0] : children;
+      };
+    }
+    const cache2 = /* @__PURE__ */ new Map();
+    const keys2 = /* @__PURE__ */ new Set();
+    let current = null;
+    if (false) {
+      instance.__v_cache = cache2;
+    }
+    const parentSuspense = instance.suspense;
+    const {
+      renderer: {
+        p: patch,
+        m: move,
+        um: _unmount,
+        o: { createElement: createElement2 }
+      }
+    } = sharedContext;
+    const storageContainer = createElement2("div");
+    sharedContext.activate = (vnode, container, anchor, namespace, optimized) => {
+      const instance2 = vnode.component;
+      move(vnode, container, anchor, 0, parentSuspense);
+      patch(
+        instance2.vnode,
+        vnode,
+        container,
+        anchor,
+        instance2,
+        parentSuspense,
+        namespace,
+        vnode.slotScopeIds,
+        optimized
+      );
+      queuePostRenderEffect(() => {
+        instance2.isDeactivated = false;
+        if (instance2.a) {
+          invokeArrayFns(instance2.a);
+        }
+        const vnodeHook = vnode.props && vnode.props.onVnodeMounted;
+        if (vnodeHook) {
+          invokeVNodeHook(vnodeHook, instance2.parent, vnode);
+        }
+      }, parentSuspense);
+      if (false) {
+        devtoolsComponentAdded(instance2);
+      }
+    };
+    sharedContext.deactivate = (vnode) => {
+      const instance2 = vnode.component;
+      invalidateMount(instance2.m);
+      invalidateMount(instance2.a);
+      move(vnode, storageContainer, null, 1, parentSuspense);
+      queuePostRenderEffect(() => {
+        if (instance2.da) {
+          invokeArrayFns(instance2.da);
+        }
+        const vnodeHook = vnode.props && vnode.props.onVnodeUnmounted;
+        if (vnodeHook) {
+          invokeVNodeHook(vnodeHook, instance2.parent, vnode);
+        }
+        instance2.isDeactivated = true;
+      }, parentSuspense);
+      if (false) {
+        devtoolsComponentAdded(instance2);
+      }
+    };
+    function unmount(vnode) {
+      resetShapeFlag(vnode);
+      _unmount(vnode, instance, parentSuspense, true);
+    }
+    __name(unmount, "unmount");
+    function pruneCache(filter4) {
+      cache2.forEach((vnode, key) => {
+        const name = getComponentName(vnode.type);
+        if (name && (!filter4 || !filter4(name))) {
+          pruneCacheEntry(key);
+        }
+      });
+    }
+    __name(pruneCache, "pruneCache");
+    function pruneCacheEntry(key) {
+      const cached = cache2.get(key);
+      if (!current || !isSameVNodeType(cached, current)) {
+        unmount(cached);
+      } else if (current) {
+        resetShapeFlag(current);
+      }
+      cache2.delete(key);
+      keys2.delete(key);
+    }
+    __name(pruneCacheEntry, "pruneCacheEntry");
+    watch(
+      () => [props.include, props.exclude],
+      ([include, exclude]) => {
+        include && pruneCache((name) => matches(include, name));
+        exclude && pruneCache((name) => !matches(exclude, name));
+      },
+      // prune post-render after `current` has been updated
+      { flush: "post", deep: true }
+    );
+    let pendingCacheKey = null;
+    const cacheSubtree = /* @__PURE__ */ __name(() => {
+      if (pendingCacheKey != null) {
+        if (isSuspense(instance.subTree.type)) {
+          queuePostRenderEffect(() => {
+            cache2.set(pendingCacheKey, getInnerChild(instance.subTree));
+          }, instance.subTree.suspense);
+        } else {
+          cache2.set(pendingCacheKey, getInnerChild(instance.subTree));
+        }
+      }
+    }, "cacheSubtree");
+    onMounted(cacheSubtree);
+    onUpdated(cacheSubtree);
+    onBeforeUnmount(() => {
+      cache2.forEach((cached) => {
+        const { subTree, suspense } = instance;
+        const vnode = getInnerChild(subTree);
+        if (cached.type === vnode.type && cached.key === vnode.key) {
+          resetShapeFlag(vnode);
+          const da = vnode.component.da;
+          da && queuePostRenderEffect(da, suspense);
+          return;
+        }
+        unmount(cached);
+      });
+    });
+    return () => {
+      pendingCacheKey = null;
+      if (!slots.default) {
+        return null;
+      }
+      const children = slots.default();
+      const rawVNode = children[0];
+      if (children.length > 1) {
+        if (false) {
+          warn$1(`KeepAlive should contain exactly one component child.`);
+        }
+        current = null;
+        return children;
+      } else if (!isVNode$1(rawVNode) || !(rawVNode.shapeFlag & 4) && !(rawVNode.shapeFlag & 128)) {
+        current = null;
+        return rawVNode;
+      }
+      let vnode = getInnerChild(rawVNode);
+      const comp = vnode.type;
+      const name = getComponentName(
+        isAsyncWrapper(vnode) ? vnode.type.__asyncResolved || {} : comp
+      );
+      const { include, exclude, max } = props;
+      if (include && (!name || !matches(include, name)) || exclude && name && matches(exclude, name)) {
+        current = vnode;
+        return rawVNode;
+      }
+      const key = vnode.key == null ? comp : vnode.key;
+      const cachedVNode = cache2.get(key);
+      if (vnode.el) {
+        vnode = cloneVNode(vnode);
+        if (rawVNode.shapeFlag & 128) {
+          rawVNode.ssContent = vnode;
+        }
+      }
+      pendingCacheKey = key;
+      if (cachedVNode) {
+        vnode.el = cachedVNode.el;
+        vnode.component = cachedVNode.component;
+        if (vnode.transition) {
+          setTransitionHooks(vnode, vnode.transition);
+        }
+        vnode.shapeFlag |= 512;
+        keys2.delete(key);
+        keys2.add(key);
+      } else {
+        keys2.add(key);
+        if (max && keys2.size > parseInt(max, 10)) {
+          pruneCacheEntry(keys2.values().next().value);
+        }
+      }
+      vnode.shapeFlag |= 256;
+      current = vnode;
+      return isSuspense(rawVNode.type) ? rawVNode : vnode;
+    };
+  }
+};
+const KeepAlive = KeepAliveImpl;
+function matches(pattern, name) {
+  if (isArray$4(pattern)) {
+    return pattern.some((p2) => matches(p2, name));
+  } else if (isString$5(pattern)) {
+    return pattern.split(",").includes(name);
+  } else if (isRegExp$2(pattern)) {
+    return pattern.test(name);
+  }
+  return false;
+}
+__name(matches, "matches");
+function onActivated(hook, target) {
+  registerKeepAliveHook(hook, "a", target);
+}
+__name(onActivated, "onActivated");
+function onDeactivated(hook, target) {
+  registerKeepAliveHook(hook, "da", target);
+}
+__name(onDeactivated, "onDeactivated");
+function registerKeepAliveHook(hook, type, target = currentInstance) {
+  const wrappedHook = hook.__wdc || (hook.__wdc = () => {
+    let current = target;
+    while (current) {
+      if (current.isDeactivated) {
+        return;
+      }
+      current = current.parent;
+    }
+    return hook();
+  });
+  injectHook(type, wrappedHook, target);
+  if (target) {
+    let current = target.parent;
+    while (current && current.parent) {
+      if (isKeepAlive(current.parent.vnode)) {
+        injectToKeepAliveRoot(wrappedHook, type, target, current);
+      }
+      current = current.parent;
+    }
+  }
+}
+__name(registerKeepAliveHook, "registerKeepAliveHook");
+function injectToKeepAliveRoot(hook, type, target, keepAliveRoot) {
+  const injected = injectHook(
+    type,
+    hook,
+    keepAliveRoot,
+    true
+    /* prepend */
+  );
+  onUnmounted(() => {
+    remove$1(keepAliveRoot[type], injected);
+  }, target);
+}
+__name(injectToKeepAliveRoot, "injectToKeepAliveRoot");
+function resetShapeFlag(vnode) {
+  vnode.shapeFlag &= ~256;
+  vnode.shapeFlag &= ~512;
+}
+__name(resetShapeFlag, "resetShapeFlag");
+function getInnerChild(vnode) {
+  return vnode.shapeFlag & 128 ? vnode.ssContent : vnode;
+}
+__name(getInnerChild, "getInnerChild");
+const leaveCbKey = Symbol("_leaveCb");
+const enterCbKey$1 = Symbol("_enterCb");
+function useTransitionState() {
+  const state = {
+    isMounted: false,
+    isLeaving: false,
+    isUnmounting: false,
+    leavingVNodes: /* @__PURE__ */ new Map()
+  };
+  onMounted(() => {
+    state.isMounted = true;
+  });
+  onBeforeUnmount(() => {
+    state.isUnmounting = true;
+  });
+  return state;
+}
+__name(useTransitionState, "useTransitionState");
+const TransitionHookValidator = [Function, Array];
+const BaseTransitionPropsValidators = {
+  mode: String,
+  appear: Boolean,
+  persisted: Boolean,
+  // enter
+  onBeforeEnter: TransitionHookValidator,
+  onEnter: TransitionHookValidator,
+  onAfterEnter: TransitionHookValidator,
+  onEnterCancelled: TransitionHookValidator,
+  // leave
+  onBeforeLeave: TransitionHookValidator,
+  onLeave: TransitionHookValidator,
+  onAfterLeave: TransitionHookValidator,
+  onLeaveCancelled: TransitionHookValidator,
+  // appear
+  onBeforeAppear: TransitionHookValidator,
+  onAppear: TransitionHookValidator,
+  onAfterAppear: TransitionHookValidator,
+  onAppearCancelled: TransitionHookValidator
+};
+const recursiveGetSubtree = /* @__PURE__ */ __name((instance) => {
+  const subTree = instance.subTree;
+  return subTree.component ? recursiveGetSubtree(subTree.component) : subTree;
+}, "recursiveGetSubtree");
+const BaseTransitionImpl = {
+  name: `BaseTransition`,
+  props: BaseTransitionPropsValidators,
+  setup(props, { slots }) {
+    const instance = getCurrentInstance();
+    const state = useTransitionState();
+    return () => {
+      const children = slots.default && getTransitionRawChildren(slots.default(), true);
+      if (!children || !children.length) {
+        return;
+      }
+      let child = children[0];
+      if (children.length > 1) {
+        let hasFound = false;
+        for (const c of children) {
+          if (c.type !== Comment) {
+            if (false) {
+              warn$1(
+                "<transition> can only be used on a single element or component. Use <transition-group> for lists."
+              );
+              break;
+            }
+            child = c;
+            hasFound = true;
+            if (true) break;
+          }
+        }
+      }
+      const rawProps = toRaw(props);
+      const { mode: mode2 } = rawProps;
+      if (false) {
+        warn$1(`invalid <transition> mode: ${mode2}`);
+      }
+      if (state.isLeaving) {
+        return emptyPlaceholder(child);
+      }
+      const innerChild = getKeepAliveChild(child);
+      if (!innerChild) {
+        return emptyPlaceholder(child);
+      }
+      let enterHooks = resolveTransitionHooks(
+        innerChild,
+        rawProps,
+        state,
+        instance,
+        // #11061, ensure enterHooks is fresh after clone
+        (hooks) => enterHooks = hooks
+      );
+      setTransitionHooks(innerChild, enterHooks);
+      const oldChild = instance.subTree;
+      const oldInnerChild = oldChild && getKeepAliveChild(oldChild);
+      if (oldInnerChild && oldInnerChild.type !== Comment && !isSameVNodeType(innerChild, oldInnerChild) && recursiveGetSubtree(instance).type !== Comment) {
+        const leavingHooks = resolveTransitionHooks(
+          oldInnerChild,
+          rawProps,
+          state,
+          instance
+        );
+        setTransitionHooks(oldInnerChild, leavingHooks);
+        if (mode2 === "out-in" && innerChild.type !== Comment) {
+          state.isLeaving = true;
+          leavingHooks.afterLeave = () => {
+            state.isLeaving = false;
+            if (instance.update.active !== false) {
+              instance.effect.dirty = true;
+              instance.update();
+            }
+          };
+          return emptyPlaceholder(child);
+        } else if (mode2 === "in-out" && innerChild.type !== Comment) {
+          leavingHooks.delayLeave = (el, earlyRemove, delayedLeave) => {
+            const leavingVNodesCache = getLeavingNodesForType(
+              state,
+              oldInnerChild
+            );
+            leavingVNodesCache[String(oldInnerChild.key)] = oldInnerChild;
+            el[leaveCbKey] = () => {
+              earlyRemove();
+              el[leaveCbKey] = void 0;
+              delete enterHooks.delayedLeave;
+            };
+            enterHooks.delayedLeave = delayedLeave;
+          };
+        }
+      }
+      return child;
+    };
+  }
+};
+const BaseTransition = BaseTransitionImpl;
+function getLeavingNodesForType(state, vnode) {
+  const { leavingVNodes } = state;
+  let leavingVNodesCache = leavingVNodes.get(vnode.type);
+  if (!leavingVNodesCache) {
+    leavingVNodesCache = /* @__PURE__ */ Object.create(null);
+    leavingVNodes.set(vnode.type, leavingVNodesCache);
+  }
+  return leavingVNodesCache;
+}
+__name(getLeavingNodesForType, "getLeavingNodesForType");
+function resolveTransitionHooks(vnode, props, state, instance, postClone) {
+  const {
+    appear,
+    mode: mode2,
+    persisted = false,
+    onBeforeEnter: onBeforeEnter3,
+    onEnter: onEnter8,
+    onAfterEnter: onAfterEnter3,
+    onEnterCancelled,
+    onBeforeLeave: onBeforeLeave3,
+    onLeave: onLeave6,
+    onAfterLeave: onAfterLeave6,
+    onLeaveCancelled,
+    onBeforeAppear,
+    onAppear,
+    onAfterAppear,
+    onAppearCancelled
+  } = props;
+  const key = String(vnode.key);
+  const leavingVNodesCache = getLeavingNodesForType(state, vnode);
+  const callHook2 = /* @__PURE__ */ __name((hook, args) => {
+    hook && callWithAsyncErrorHandling(
+      hook,
+      instance,
+      9,
+      args
+    );
+  }, "callHook2");
+  const callAsyncHook = /* @__PURE__ */ __name((hook, args) => {
+    const done = args[1];
+    callHook2(hook, args);
+    if (isArray$4(hook)) {
+      if (hook.every((hook2) => hook2.length <= 1)) done();
+    } else if (hook.length <= 1) {
+      done();
+    }
+  }, "callAsyncHook");
+  const hooks = {
+    mode: mode2,
+    persisted,
+    beforeEnter(el) {
+      let hook = onBeforeEnter3;
+      if (!state.isMounted) {
+        if (appear) {
+          hook = onBeforeAppear || onBeforeEnter3;
+        } else {
+          return;
+        }
+      }
+      if (el[leaveCbKey]) {
+        el[leaveCbKey](
+          true
+          /* cancelled */
+        );
+      }
+      const leavingVNode = leavingVNodesCache[key];
+      if (leavingVNode && isSameVNodeType(vnode, leavingVNode) && leavingVNode.el[leaveCbKey]) {
+        leavingVNode.el[leaveCbKey]();
+      }
+      callHook2(hook, [el]);
+    },
+    enter(el) {
+      let hook = onEnter8;
+      let afterHook = onAfterEnter3;
+      let cancelHook = onEnterCancelled;
+      if (!state.isMounted) {
+        if (appear) {
+          hook = onAppear || onEnter8;
+          afterHook = onAfterAppear || onAfterEnter3;
+          cancelHook = onAppearCancelled || onEnterCancelled;
+        } else {
+          return;
+        }
+      }
+      let called = false;
+      const done = el[enterCbKey$1] = (cancelled) => {
+        if (called) return;
+        called = true;
+        if (cancelled) {
+          callHook2(cancelHook, [el]);
+        } else {
+          callHook2(afterHook, [el]);
+        }
+        if (hooks.delayedLeave) {
+          hooks.delayedLeave();
+        }
+        el[enterCbKey$1] = void 0;
+      };
+      if (hook) {
+        callAsyncHook(hook, [el, done]);
+      } else {
+        done();
+      }
+    },
+    leave(el, remove22) {
+      const key2 = String(vnode.key);
+      if (el[enterCbKey$1]) {
+        el[enterCbKey$1](
+          true
+          /* cancelled */
+        );
+      }
+      if (state.isUnmounting) {
+        return remove22();
+      }
+      callHook2(onBeforeLeave3, [el]);
+      let called = false;
+      const done = el[leaveCbKey] = (cancelled) => {
+        if (called) return;
+        called = true;
+        remove22();
+        if (cancelled) {
+          callHook2(onLeaveCancelled, [el]);
+        } else {
+          callHook2(onAfterLeave6, [el]);
+        }
+        el[leaveCbKey] = void 0;
+        if (leavingVNodesCache[key2] === vnode) {
+          delete leavingVNodesCache[key2];
+        }
+      };
+      leavingVNodesCache[key2] = vnode;
+      if (onLeave6) {
+        callAsyncHook(onLeave6, [el, done]);
+      } else {
+        done();
+      }
+    },
+    clone(vnode2) {
+      const hooks2 = resolveTransitionHooks(
+        vnode2,
+        props,
+        state,
+        instance,
+        postClone
+      );
+      if (postClone) postClone(hooks2);
+      return hooks2;
+    }
+  };
+  return hooks;
+}
+__name(resolveTransitionHooks, "resolveTransitionHooks");
+function emptyPlaceholder(vnode) {
+  if (isKeepAlive(vnode)) {
+    vnode = cloneVNode(vnode);
+    vnode.children = null;
+    return vnode;
+  }
+}
+__name(emptyPlaceholder, "emptyPlaceholder");
+function getKeepAliveChild(vnode) {
+  if (!isKeepAlive(vnode)) {
+    return vnode;
+  }
+  if (false) {
+    return vnode.component.subTree;
+  }
+  const { shapeFlag, children } = vnode;
+  if (children) {
+    if (shapeFlag & 16) {
+      return children[0];
+    }
+    if (shapeFlag & 32 && isFunction$4(children.default)) {
+      return children.default();
+    }
+  }
+}
+__name(getKeepAliveChild, "getKeepAliveChild");
+function setTransitionHooks(vnode, hooks) {
+  if (vnode.shapeFlag & 6 && vnode.component) {
+    setTransitionHooks(vnode.component.subTree, hooks);
+  } else if (vnode.shapeFlag & 128) {
+    vnode.ssContent.transition = hooks.clone(vnode.ssContent);
+    vnode.ssFallback.transition = hooks.clone(vnode.ssFallback);
+  } else {
+    vnode.transition = hooks;
+  }
+}
+__name(setTransitionHooks, "setTransitionHooks");
+function getTransitionRawChildren(children, keepComment = false, parentKey) {
+  let ret = [];
+  let keyedFragmentCount = 0;
+  for (let i2 = 0; i2 < children.length; i2++) {
+    let child = children[i2];
+    const key = parentKey == null ? child.key : String(parentKey) + String(child.key != null ? child.key : i2);
+    if (child.type === Fragment) {
+      if (child.patchFlag & 128) keyedFragmentCount++;
+      ret = ret.concat(
+        getTransitionRawChildren(child.children, keepComment, key)
+      );
+    } else if (keepComment || child.type !== Comment) {
+      ret.push(key != null ? cloneVNode(child, { key }) : child);
+    }
+  }
+  if (keyedFragmentCount > 1) {
+    for (let i2 = 0; i2 < ret.length; i2++) {
+      ret[i2].patchFlag = -2;
+    }
+  }
+  return ret;
+}
+__name(getTransitionRawChildren, "getTransitionRawChildren");
+const isTeleport = /* @__PURE__ */ __name((type) => type.__isTeleport, "isTeleport");
+const isTeleportDisabled = /* @__PURE__ */ __name((props) => props && (props.disabled || props.disabled === ""), "isTeleportDisabled");
+const isTargetSVG = /* @__PURE__ */ __name((target) => typeof SVGElement !== "undefined" && target instanceof SVGElement, "isTargetSVG");
+const isTargetMathML = /* @__PURE__ */ __name((target) => typeof MathMLElement === "function" && target instanceof MathMLElement, "isTargetMathML");
+const resolveTarget = /* @__PURE__ */ __name((props, select) => {
+  const targetSelector = props && props.to;
+  if (isString$5(targetSelector)) {
+    if (!select) {
+      return null;
+    } else {
+      const target = select(targetSelector);
+      if (false) {
+        warn$1(
+          `Failed to locate Teleport target with selector "${targetSelector}". Note the target element must exist before the component is mounted - i.e. the target cannot be rendered by the component itself, and ideally should be outside of the entire Vue component tree.`
+        );
+      }
+      return target;
+    }
+  } else {
+    if (false) {
+      warn$1(`Invalid Teleport target: ${targetSelector}`);
+    }
+    return targetSelector;
+  }
+}, "resolveTarget");
+const TeleportImpl = {
+  name: "Teleport",
+  __isTeleport: true,
+  process(n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized, internals) {
+    const {
+      mc: mountChildren,
+      pc: patchChildren,
+      pbc: patchBlockChildren,
+      o: { insert: insert2, querySelector, createText, createComment }
+    } = internals;
+    const disabled2 = isTeleportDisabled(n2.props);
+    let { shapeFlag, children, dynamicChildren } = n2;
+    if (false) {
+      optimized = false;
+      dynamicChildren = null;
+    }
+    if (n1 == null) {
+      const placeholder = n2.el = false ? createComment("teleport start") : createText("");
+      const mainAnchor = n2.anchor = false ? createComment("teleport end") : createText("");
+      insert2(placeholder, container, anchor);
+      insert2(mainAnchor, container, anchor);
+      const target = n2.target = resolveTarget(n2.props, querySelector);
+      const targetAnchor = n2.targetAnchor = createText("");
+      if (target) {
+        insert2(targetAnchor, target);
+        if (namespace === "svg" || isTargetSVG(target)) {
+          namespace = "svg";
+        } else if (namespace === "mathml" || isTargetMathML(target)) {
+          namespace = "mathml";
+        }
+      } else if (false) {
+        warn$1("Invalid Teleport target on mount:", target, `(${typeof target})`);
+      }
+      const mount2 = /* @__PURE__ */ __name((container2, anchor2) => {
+        if (shapeFlag & 16) {
+          mountChildren(
+            children,
+            container2,
+            anchor2,
+            parentComponent,
+            parentSuspense,
+            namespace,
+            slotScopeIds,
+            optimized
+          );
+        }
+      }, "mount");
+      if (disabled2) {
+        mount2(container, mainAnchor);
+      } else if (target) {
+        mount2(target, targetAnchor);
+      }
+    } else {
+      n2.el = n1.el;
+      const mainAnchor = n2.anchor = n1.anchor;
+      const target = n2.target = n1.target;
+      const targetAnchor = n2.targetAnchor = n1.targetAnchor;
+      const wasDisabled = isTeleportDisabled(n1.props);
+      const currentContainer = wasDisabled ? container : target;
+      const currentAnchor = wasDisabled ? mainAnchor : targetAnchor;
+      if (namespace === "svg" || isTargetSVG(target)) {
+        namespace = "svg";
+      } else if (namespace === "mathml" || isTargetMathML(target)) {
+        namespace = "mathml";
+      }
+      if (dynamicChildren) {
+        patchBlockChildren(
+          n1.dynamicChildren,
+          dynamicChildren,
+          currentContainer,
+          parentComponent,
+          parentSuspense,
+          namespace,
+          slotScopeIds
+        );
+        traverseStaticChildren(n1, n2, true);
+      } else if (!optimized) {
+        patchChildren(
+          n1,
+          n2,
+          currentContainer,
+          currentAnchor,
+          parentComponent,
+          parentSuspense,
+          namespace,
+          slotScopeIds,
+          false
+        );
+      }
+      if (disabled2) {
+        if (!wasDisabled) {
+          moveTeleport(
+            n2,
+            container,
+            mainAnchor,
+            internals,
+            1
+          );
+        } else {
+          if (n2.props && n1.props && n2.props.to !== n1.props.to) {
+            n2.props.to = n1.props.to;
+          }
+        }
+      } else {
+        if ((n2.props && n2.props.to) !== (n1.props && n1.props.to)) {
+          const nextTarget = n2.target = resolveTarget(
+            n2.props,
+            querySelector
+          );
+          if (nextTarget) {
+            moveTeleport(
+              n2,
+              nextTarget,
+              null,
+              internals,
+              0
+            );
+          } else if (false) {
+            warn$1(
+              "Invalid Teleport target on update:",
+              target,
+              `(${typeof target})`
+            );
+          }
+        } else if (wasDisabled) {
+          moveTeleport(
+            n2,
+            target,
+            targetAnchor,
+            internals,
+            1
+          );
+        }
+      }
+    }
+    updateCssVars(n2);
+  },
+  remove(vnode, parentComponent, parentSuspense, { um: unmount, o: { remove: hostRemove } }, doRemove) {
+    const { shapeFlag, children, anchor, targetAnchor, target, props } = vnode;
+    if (target) {
+      hostRemove(targetAnchor);
+    }
+    doRemove && hostRemove(anchor);
+    if (shapeFlag & 16) {
+      const shouldRemove = doRemove || !isTeleportDisabled(props);
+      for (let i2 = 0; i2 < children.length; i2++) {
+        const child = children[i2];
+        unmount(
+          child,
+          parentComponent,
+          parentSuspense,
+          shouldRemove,
+          !!child.dynamicChildren
+        );
+      }
+    }
+  },
+  move: moveTeleport,
+  hydrate: hydrateTeleport
+};
+function moveTeleport(vnode, container, parentAnchor, { o: { insert: insert2 }, m: move }, moveType = 2) {
+  if (moveType === 0) {
+    insert2(vnode.targetAnchor, container, parentAnchor);
+  }
+  const { el, anchor, shapeFlag, children, props } = vnode;
+  const isReorder = moveType === 2;
+  if (isReorder) {
+    insert2(el, container, parentAnchor);
+  }
+  if (!isReorder || isTeleportDisabled(props)) {
+    if (shapeFlag & 16) {
+      for (let i2 = 0; i2 < children.length; i2++) {
+        move(
+          children[i2],
+          container,
+          parentAnchor,
+          2
+        );
+      }
+    }
+  }
+  if (isReorder) {
+    insert2(anchor, container, parentAnchor);
+  }
+}
+__name(moveTeleport, "moveTeleport");
+function hydrateTeleport(node3, vnode, parentComponent, parentSuspense, slotScopeIds, optimized, {
+  o: { nextSibling, parentNode, querySelector }
+}, hydrateChildren) {
+  const target = vnode.target = resolveTarget(
+    vnode.props,
+    querySelector
+  );
+  if (target) {
+    const targetNode = target._lpa || target.firstChild;
+    if (vnode.shapeFlag & 16) {
+      if (isTeleportDisabled(vnode.props)) {
+        vnode.anchor = hydrateChildren(
+          nextSibling(node3),
+          vnode,
+          parentNode(node3),
+          parentComponent,
+          parentSuspense,
+          slotScopeIds,
+          optimized
+        );
+        vnode.targetAnchor = targetNode;
+      } else {
+        vnode.anchor = nextSibling(node3);
+        let targetAnchor = targetNode;
+        while (targetAnchor) {
+          targetAnchor = nextSibling(targetAnchor);
+          if (targetAnchor && targetAnchor.nodeType === 8 && targetAnchor.data === "teleport anchor") {
+            vnode.targetAnchor = targetAnchor;
+            target._lpa = vnode.targetAnchor && nextSibling(vnode.targetAnchor);
+            break;
+          }
+        }
+        hydrateChildren(
+          targetNode,
+          vnode,
+          target,
+          parentComponent,
+          parentSuspense,
+          slotScopeIds,
+          optimized
+        );
+      }
+    }
+    updateCssVars(vnode);
+  }
+  return vnode.anchor && nextSibling(vnode.anchor);
+}
+__name(hydrateTeleport, "hydrateTeleport");
+const Teleport = TeleportImpl;
+function updateCssVars(vnode) {
+  const ctx = vnode.ctx;
+  if (ctx && ctx.ut) {
+    let node3 = vnode.children[0].el;
+    while (node3 && node3 !== vnode.targetAnchor) {
+      if (node3.nodeType === 1) node3.setAttribute("data-v-owner", ctx.uid);
+      node3 = node3.nextSibling;
+    }
+    ctx.ut();
+  }
+}
+__name(updateCssVars, "updateCssVars");
+const Fragment = Symbol.for("v-fgt");
+const Text = Symbol.for("v-txt");
+const Comment = Symbol.for("v-cmt");
+const Static = Symbol.for("v-stc");
+const blockStack = [];
+let currentBlock = null;
+function openBlock(disableTracking = false) {
+  blockStack.push(currentBlock = disableTracking ? null : []);
+}
+__name(openBlock, "openBlock");
+function closeBlock() {
+  blockStack.pop();
+  currentBlock = blockStack[blockStack.length - 1] || null;
+}
+__name(closeBlock, "closeBlock");
+let isBlockTreeEnabled = 1;
+function setBlockTracking(value3) {
+  isBlockTreeEnabled += value3;
+}
+__name(setBlockTracking, "setBlockTracking");
+function setupBlock(vnode) {
+  vnode.dynamicChildren = isBlockTreeEnabled > 0 ? currentBlock || EMPTY_ARR : null;
+  closeBlock();
+  if (isBlockTreeEnabled > 0 && currentBlock) {
+    currentBlock.push(vnode);
+  }
+  return vnode;
+}
+__name(setupBlock, "setupBlock");
+function createElementBlock(type, props, children, patchFlag, dynamicProps, shapeFlag) {
+  return setupBlock(
+    createBaseVNode(
+      type,
+      props,
+      children,
+      patchFlag,
+      dynamicProps,
+      shapeFlag,
+      true
+    )
+  );
+}
+__name(createElementBlock, "createElementBlock");
+function createBlock(type, props, children, patchFlag, dynamicProps) {
+  return setupBlock(
+    createVNode(
+      type,
+      props,
+      children,
+      patchFlag,
+      dynamicProps,
+      true
+    )
+  );
+}
+__name(createBlock, "createBlock");
+function isVNode$1(value3) {
+  return value3 ? value3.__v_isVNode === true : false;
+}
+__name(isVNode$1, "isVNode$1");
+function isSameVNodeType(n1, n2) {
+  if (false) {
+    n1.shapeFlag &= ~256;
+    n2.shapeFlag &= ~512;
+    return false;
+  }
+  return n1.type === n2.type && n1.key === n2.key;
+}
+__name(isSameVNodeType, "isSameVNodeType");
+let vnodeArgsTransformer;
+function transformVNodeArgs(transformer) {
+  vnodeArgsTransformer = transformer;
+}
+__name(transformVNodeArgs, "transformVNodeArgs");
+const createVNodeWithArgsTransform = /* @__PURE__ */ __name((...args) => {
+  return _createVNode(
+    ...vnodeArgsTransformer ? vnodeArgsTransformer(args, currentRenderingInstance) : args
+  );
+}, "createVNodeWithArgsTransform");
+const normalizeKey = /* @__PURE__ */ __name(({ key }) => key != null ? key : null, "normalizeKey");
+const normalizeRef = /* @__PURE__ */ __name(({
+  ref: ref3,
+  ref_key,
+  ref_for
+}) => {
+  if (typeof ref3 === "number") {
+    ref3 = "" + ref3;
+  }
+  return ref3 != null ? isString$5(ref3) || isRef(ref3) || isFunction$4(ref3) ? { i: currentRenderingInstance, r: ref3, k: ref_key, f: !!ref_for } : ref3 : null;
+}, "normalizeRef");
+function createBaseVNode(type, props = null, children = null, patchFlag = 0, dynamicProps = null, shapeFlag = type === Fragment ? 0 : 1, isBlockNode = false, needFullChildrenNormalization = false) {
+  const vnode = {
+    __v_isVNode: true,
+    __v_skip: true,
+    type,
+    props,
+    key: props && normalizeKey(props),
+    ref: props && normalizeRef(props),
+    scopeId: currentScopeId,
+    slotScopeIds: null,
+    children,
+    component: null,
+    suspense: null,
+    ssContent: null,
+    ssFallback: null,
+    dirs: null,
+    transition: null,
+    el: null,
+    anchor: null,
+    target: null,
+    targetAnchor: null,
+    staticCount: 0,
+    shapeFlag,
+    patchFlag,
+    dynamicProps,
+    dynamicChildren: null,
+    appContext: null,
+    ctx: currentRenderingInstance
+  };
+  if (needFullChildrenNormalization) {
+    normalizeChildren(vnode, children);
+    if (shapeFlag & 128) {
+      type.normalize(vnode);
+    }
+  } else if (children) {
+    vnode.shapeFlag |= isString$5(children) ? 8 : 16;
+  }
+  if (false) {
+    warn$1(`VNode created with invalid key (NaN). VNode type:`, vnode.type);
+  }
+  if (isBlockTreeEnabled > 0 && // avoid a block node from tracking itself
+  !isBlockNode && // has current parent block
+  currentBlock && // presence of a patch flag indicates this node needs patching on updates.
+  // component nodes also should always be patched, because even if the
+  // component doesn't need to update, it needs to persist the instance on to
+  // the next vnode so that it can be properly unmounted later.
+  (vnode.patchFlag > 0 || shapeFlag & 6) && // the EVENTS flag is only for hydration and if it is the only flag, the
+  // vnode should not be considered dynamic due to handler caching.
+  vnode.patchFlag !== 32) {
+    currentBlock.push(vnode);
+  }
+  return vnode;
+}
+__name(createBaseVNode, "createBaseVNode");
+const createVNode = false ? createVNodeWithArgsTransform : _createVNode;
+function _createVNode(type, props = null, children = null, patchFlag = 0, dynamicProps = null, isBlockNode = false) {
+  if (!type || type === NULL_DYNAMIC_COMPONENT) {
+    if (false) {
+      warn$1(`Invalid vnode type when creating vnode: ${type}.`);
+    }
+    type = Comment;
+  }
+  if (isVNode$1(type)) {
+    const cloned = cloneVNode(
+      type,
+      props,
+      true
+      /* mergeRef: true */
+    );
+    if (children) {
+      normalizeChildren(cloned, children);
+    }
+    if (isBlockTreeEnabled > 0 && !isBlockNode && currentBlock) {
+      if (cloned.shapeFlag & 6) {
+        currentBlock[currentBlock.indexOf(type)] = cloned;
+      } else {
+        currentBlock.push(cloned);
+      }
+    }
+    cloned.patchFlag = -2;
+    return cloned;
+  }
+  if (isClassComponent(type)) {
+    type = type.__vccOpts;
+  }
+  if (props) {
+    props = guardReactiveProps(props);
+    let { class: klass, style } = props;
+    if (klass && !isString$5(klass)) {
+      props.class = normalizeClass(klass);
+    }
+    if (isObject$6(style)) {
+      if (isProxy(style) && !isArray$4(style)) {
+        style = extend$1({}, style);
+      }
+      props.style = normalizeStyle(style);
+    }
+  }
+  const shapeFlag = isString$5(type) ? 1 : isSuspense(type) ? 128 : isTeleport(type) ? 64 : isObject$6(type) ? 4 : isFunction$4(type) ? 2 : 0;
+  if (false) {
+    type = toRaw(type);
+    warn$1(
+      `Vue received a Component that was made a reactive object. This can lead to unnecessary performance overhead and should be avoided by marking the component with \`markRaw\` or using \`shallowRef\` instead of \`ref\`.`,
+      `
+Component that was made reactive: `,
+      type
+    );
+  }
+  return createBaseVNode(
+    type,
+    props,
+    children,
+    patchFlag,
+    dynamicProps,
+    shapeFlag,
+    isBlockNode,
+    true
+  );
+}
+__name(_createVNode, "_createVNode");
+function guardReactiveProps(props) {
+  if (!props) return null;
+  return isProxy(props) || isInternalObject(props) ? extend$1({}, props) : props;
+}
+__name(guardReactiveProps, "guardReactiveProps");
+function cloneVNode(vnode, extraProps, mergeRef = false, cloneTransition = false) {
+  const { props, ref: ref3, patchFlag, children, transition } = vnode;
+  const mergedProps = extraProps ? mergeProps(props || {}, extraProps) : props;
+  const cloned = {
+    __v_isVNode: true,
+    __v_skip: true,
+    type: vnode.type,
+    props: mergedProps,
+    key: mergedProps && normalizeKey(mergedProps),
+    ref: extraProps && extraProps.ref ? (
+      // #2078 in the case of <component :is="vnode" ref="extra"/>
+      // if the vnode itself already has a ref, cloneVNode will need to merge
+      // the refs so the single vnode can be set on multiple refs
+      mergeRef && ref3 ? isArray$4(ref3) ? ref3.concat(normalizeRef(extraProps)) : [ref3, normalizeRef(extraProps)] : normalizeRef(extraProps)
+    ) : ref3,
+    scopeId: vnode.scopeId,
+    slotScopeIds: vnode.slotScopeIds,
+    children: false ? children.map(deepCloneVNode) : children,
+    target: vnode.target,
+    targetAnchor: vnode.targetAnchor,
+    staticCount: vnode.staticCount,
+    shapeFlag: vnode.shapeFlag,
+    // if the vnode is cloned with extra props, we can no longer assume its
+    // existing patch flag to be reliable and need to add the FULL_PROPS flag.
+    // note: preserve flag for fragments since they use the flag for children
+    // fast paths only.
+    patchFlag: extraProps && vnode.type !== Fragment ? patchFlag === -1 ? 16 : patchFlag | 16 : patchFlag,
+    dynamicProps: vnode.dynamicProps,
+    dynamicChildren: vnode.dynamicChildren,
+    appContext: vnode.appContext,
+    dirs: vnode.dirs,
+    transition,
+    // These should technically only be non-null on mounted VNodes. However,
+    // they *should* be copied for kept-alive vnodes. So we just always copy
+    // them since them being non-null during a mount doesn't affect the logic as
+    // they will simply be overwritten.
+    component: vnode.component,
+    suspense: vnode.suspense,
+    ssContent: vnode.ssContent && cloneVNode(vnode.ssContent),
+    ssFallback: vnode.ssFallback && cloneVNode(vnode.ssFallback),
+    el: vnode.el,
+    anchor: vnode.anchor,
+    ctx: vnode.ctx,
+    ce: vnode.ce
+  };
+  if (transition && cloneTransition) {
+    setTransitionHooks(
+      cloned,
+      transition.clone(cloned)
+    );
+  }
+  return cloned;
+}
+__name(cloneVNode, "cloneVNode");
+function deepCloneVNode(vnode) {
+  const cloned = cloneVNode(vnode);
+  if (isArray$4(vnode.children)) {
+    cloned.children = vnode.children.map(deepCloneVNode);
+  }
+  return cloned;
+}
+__name(deepCloneVNode, "deepCloneVNode");
+function createTextVNode(text = " ", flag = 0) {
+  return createVNode(Text, null, text, flag);
+}
+__name(createTextVNode, "createTextVNode");
+function createStaticVNode(content, numberOfNodes) {
+  const vnode = createVNode(Static, null, content);
+  vnode.staticCount = numberOfNodes;
+  return vnode;
+}
+__name(createStaticVNode, "createStaticVNode");
+function createCommentVNode(text = "", asBlock = false) {
+  return asBlock ? (openBlock(), createBlock(Comment, null, text)) : createVNode(Comment, null, text);
+}
+__name(createCommentVNode, "createCommentVNode");
+function normalizeVNode(child) {
+  if (child == null || typeof child === "boolean") {
+    return createVNode(Comment);
+  } else if (isArray$4(child)) {
+    return createVNode(
+      Fragment,
+      null,
+      // #3666, avoid reference pollution when reusing vnode
+      child.slice()
+    );
+  } else if (typeof child === "object") {
+    return cloneIfMounted(child);
+  } else {
+    return createVNode(Text, null, String(child));
+  }
+}
+__name(normalizeVNode, "normalizeVNode");
+function cloneIfMounted(child) {
+  return child.el === null && child.patchFlag !== -1 || child.memo ? child : cloneVNode(child);
+}
+__name(cloneIfMounted, "cloneIfMounted");
+function normalizeChildren(vnode, children) {
+  let type = 0;
+  const { shapeFlag } = vnode;
+  if (children == null) {
+    children = null;
+  } else if (isArray$4(children)) {
+    type = 16;
+  } else if (typeof children === "object") {
+    if (shapeFlag & (1 | 64)) {
+      const slot = children.default;
+      if (slot) {
+        slot._c && (slot._d = false);
+        normalizeChildren(vnode, slot());
+        slot._c && (slot._d = true);
+      }
+      return;
+    } else {
+      type = 32;
+      const slotFlag = children._;
+      if (!slotFlag && !isInternalObject(children)) {
+        children._ctx = currentRenderingInstance;
+      } else if (slotFlag === 3 && currentRenderingInstance) {
+        if (currentRenderingInstance.slots._ === 1) {
+          children._ = 1;
+        } else {
+          children._ = 2;
+          vnode.patchFlag |= 1024;
+        }
+      }
+    }
+  } else if (isFunction$4(children)) {
+    children = { default: children, _ctx: currentRenderingInstance };
+    type = 32;
+  } else {
+    children = String(children);
+    if (shapeFlag & 64) {
+      type = 16;
+      children = [createTextVNode(children)];
+    } else {
+      type = 8;
+    }
+  }
+  vnode.children = children;
+  vnode.shapeFlag |= type;
+}
+__name(normalizeChildren, "normalizeChildren");
+function mergeProps(...args) {
+  const ret = {};
+  for (let i2 = 0; i2 < args.length; i2++) {
+    const toMerge = args[i2];
+    for (const key in toMerge) {
+      if (key === "class") {
+        if (ret.class !== toMerge.class) {
+          ret.class = normalizeClass([ret.class, toMerge.class]);
+        }
+      } else if (key === "style") {
+        ret.style = normalizeStyle([ret.style, toMerge.style]);
+      } else if (isOn(key)) {
+        const existing = ret[key];
+        const incoming = toMerge[key];
+        if (incoming && existing !== incoming && !(isArray$4(existing) && existing.includes(incoming))) {
+          ret[key] = existing ? [].concat(existing, incoming) : incoming;
+        }
+      } else if (key !== "") {
+        ret[key] = toMerge[key];
+      }
+    }
+  }
+  return ret;
+}
+__name(mergeProps, "mergeProps");
+function invokeVNodeHook(hook, instance, vnode, prevVNode = null) {
+  callWithAsyncErrorHandling(hook, instance, 7, [
+    vnode,
+    prevVNode
+  ]);
+}
+__name(invokeVNodeHook, "invokeVNodeHook");
+const emptyAppContext = createAppContext();
+let uid = 0;
+function createComponentInstance(vnode, parent, suspense) {
+  const type = vnode.type;
+  const appContext = (parent ? parent.appContext : vnode.appContext) || emptyAppContext;
+  const instance = {
+    uid: uid++,
+    vnode,
+    type,
+    parent,
+    appContext,
+    root: null,
+    // to be immediately set
+    next: null,
+    subTree: null,
+    // will be set synchronously right after creation
+    effect: null,
+    update: null,
+    // will be set synchronously right after creation
+    scope: new EffectScope(
+      true
+      /* detached */
+    ),
+    render: null,
+    proxy: null,
+    exposed: null,
+    exposeProxy: null,
+    withProxy: null,
+    provides: parent ? parent.provides : Object.create(appContext.provides),
+    accessCache: null,
+    renderCache: [],
+    // local resolved assets
+    components: null,
+    directives: null,
+    // resolved props and emits options
+    propsOptions: normalizePropsOptions(type, appContext),
+    emitsOptions: normalizeEmitsOptions(type, appContext),
+    // emit
+    emit: null,
+    // to be set immediately
+    emitted: null,
+    // props default value
+    propsDefaults: EMPTY_OBJ,
+    // inheritAttrs
+    inheritAttrs: type.inheritAttrs,
+    // state
+    ctx: EMPTY_OBJ,
+    data: EMPTY_OBJ,
+    props: EMPTY_OBJ,
+    attrs: EMPTY_OBJ,
+    slots: EMPTY_OBJ,
+    refs: EMPTY_OBJ,
+    setupState: EMPTY_OBJ,
+    setupContext: null,
+    attrsProxy: null,
+    slotsProxy: null,
+    // suspense related
+    suspense,
+    suspenseId: suspense ? suspense.pendingId : 0,
+    asyncDep: null,
+    asyncResolved: false,
+    // lifecycle hooks
+    // not using enums here because it results in computed properties
+    isMounted: false,
+    isUnmounted: false,
+    isDeactivated: false,
+    bc: null,
+    c: null,
+    bm: null,
+    m: null,
+    bu: null,
+    u: null,
+    um: null,
+    bum: null,
+    da: null,
+    a: null,
+    rtg: null,
+    rtc: null,
+    ec: null,
+    sp: null
+  };
+  if (false) {
+    instance.ctx = createDevRenderContext(instance);
+  } else {
+    instance.ctx = { _: instance };
+  }
+  instance.root = parent ? parent.root : instance;
+  instance.emit = emit.bind(null, instance);
+  if (vnode.ce) {
+    vnode.ce(instance);
+  }
+  return instance;
+}
+__name(createComponentInstance, "createComponentInstance");
+let currentInstance = null;
+const getCurrentInstance = /* @__PURE__ */ __name(() => currentInstance || currentRenderingInstance, "getCurrentInstance");
+let internalSetCurrentInstance;
+let setInSSRSetupState;
+{
+  const g = getGlobalThis$1();
+  const registerGlobalSetter = /* @__PURE__ */ __name((key, setter) => {
+    let setters;
+    if (!(setters = g[key])) setters = g[key] = [];
+    setters.push(setter);
+    return (v2) => {
+      if (setters.length > 1) setters.forEach((set2) => set2(v2));
+      else setters[0](v2);
+    };
+  }, "registerGlobalSetter");
+  internalSetCurrentInstance = registerGlobalSetter(
+    `__VUE_INSTANCE_SETTERS__`,
+    (v2) => currentInstance = v2
+  );
+  setInSSRSetupState = registerGlobalSetter(
+    `__VUE_SSR_SETTERS__`,
+    (v2) => isInSSRComponentSetup = v2
+  );
+}
+const setCurrentInstance = /* @__PURE__ */ __name((instance) => {
+  const prev2 = currentInstance;
+  internalSetCurrentInstance(instance);
+  instance.scope.on();
+  return () => {
+    instance.scope.off();
+    internalSetCurrentInstance(prev2);
+  };
+}, "setCurrentInstance");
+const unsetCurrentInstance = /* @__PURE__ */ __name(() => {
+  currentInstance && currentInstance.scope.off();
+  internalSetCurrentInstance(null);
+}, "unsetCurrentInstance");
+const isBuiltInTag = /* @__PURE__ */ makeMap("slot,component");
+function validateComponentName(name, { isNativeTag }) {
+  if (isBuiltInTag(name) || isNativeTag(name)) {
+    warn$1(
+      "Do not use built-in or reserved HTML elements as component id: " + name
+    );
+  }
+}
+__name(validateComponentName, "validateComponentName");
+function isStatefulComponent(instance) {
+  return instance.vnode.shapeFlag & 4;
+}
+__name(isStatefulComponent, "isStatefulComponent");
+let isInSSRComponentSetup = false;
+function setupComponent(instance, isSSR = false) {
+  isSSR && setInSSRSetupState(isSSR);
+  const { props, children } = instance.vnode;
+  const isStateful2 = isStatefulComponent(instance);
+  initProps(instance, props, isStateful2, isSSR);
+  initSlots(instance, children);
+  const setupResult = isStateful2 ? setupStatefulComponent(instance, isSSR) : void 0;
+  isSSR && setInSSRSetupState(false);
+  return setupResult;
+}
+__name(setupComponent, "setupComponent");
+function setupStatefulComponent(instance, isSSR) {
+  var _a;
+  const Component = instance.type;
+  if (false) {
+    if (Component.name) {
+      validateComponentName(Component.name, instance.appContext.config);
+    }
+    if (Component.components) {
+      const names = Object.keys(Component.components);
+      for (let i2 = 0; i2 < names.length; i2++) {
+        validateComponentName(names[i2], instance.appContext.config);
+      }
+    }
+    if (Component.directives) {
+      const names = Object.keys(Component.directives);
+      for (let i2 = 0; i2 < names.length; i2++) {
+        validateDirectiveName(names[i2]);
+      }
+    }
+    if (Component.compilerOptions && isRuntimeOnly()) {
+      warn$1(
+        `"compilerOptions" is only supported when using a build of Vue that includes the runtime compiler. Since you are using a runtime-only build, the options should be passed via your build tool config instead.`
+      );
+    }
+  }
+  instance.accessCache = /* @__PURE__ */ Object.create(null);
+  instance.proxy = new Proxy(instance.ctx, PublicInstanceProxyHandlers);
+  if (false) {
+    exposePropsOnRenderContext(instance);
+  }
+  const { setup: setup2 } = Component;
+  if (setup2) {
+    const setupContext = instance.setupContext = setup2.length > 1 ? createSetupContext(instance) : null;
+    const reset = setCurrentInstance(instance);
+    pauseTracking();
+    const setupResult = callWithErrorHandling(
+      setup2,
+      instance,
+      0,
+      [
+        false ? shallowReadonly(instance.props) : instance.props,
+        setupContext
+      ]
+    );
+    resetTracking();
+    reset();
+    if (isPromise$2(setupResult)) {
+      setupResult.then(unsetCurrentInstance, unsetCurrentInstance);
+      if (isSSR) {
+        return setupResult.then((resolvedResult) => {
+          handleSetupResult(instance, resolvedResult, isSSR);
+        }).catch((e) => {
+          handleError(e, instance, 0);
+        });
+      } else {
+        instance.asyncDep = setupResult;
+        if (false) {
+          const name = (_a = Component.name) != null ? _a : "Anonymous";
+          warn$1(
+            `Component <${name}>: setup function returned a promise, but no <Suspense> boundary was found in the parent component tree. A component with async setup() must be nested in a <Suspense> in order to be rendered.`
+          );
+        }
+      }
+    } else {
+      handleSetupResult(instance, setupResult, isSSR);
+    }
+  } else {
+    finishComponentSetup(instance, isSSR);
+  }
+}
+__name(setupStatefulComponent, "setupStatefulComponent");
+function handleSetupResult(instance, setupResult, isSSR) {
+  if (isFunction$4(setupResult)) {
+    if (instance.type.__ssrInlineRender) {
+      instance.ssrRender = setupResult;
+    } else {
+      instance.render = setupResult;
+    }
+  } else if (isObject$6(setupResult)) {
+    if (false) {
+      warn$1(
+        `setup() should not return VNodes directly - return a render function instead.`
+      );
+    }
+    if (false) {
+      instance.devtoolsRawSetupState = setupResult;
+    }
+    instance.setupState = proxyRefs(setupResult);
+    if (false) {
+      exposeSetupStateOnRenderContext(instance);
+    }
+  } else if (false) {
+    warn$1(
+      `setup() should return an object. Received: ${setupResult === null ? "null" : typeof setupResult}`
+    );
+  }
+  finishComponentSetup(instance, isSSR);
+}
+__name(handleSetupResult, "handleSetupResult");
+let compile$2;
+let installWithProxy;
+function registerRuntimeCompiler(_compile) {
+  compile$2 = _compile;
+  installWithProxy = /* @__PURE__ */ __name((i2) => {
+    if (i2.render._rc) {
+      i2.withProxy = new Proxy(i2.ctx, RuntimeCompiledPublicInstanceProxyHandlers);
+    }
+  }, "installWithProxy");
+}
+__name(registerRuntimeCompiler, "registerRuntimeCompiler");
+const isRuntimeOnly = /* @__PURE__ */ __name(() => !compile$2, "isRuntimeOnly");
+function finishComponentSetup(instance, isSSR, skipOptions) {
+  const Component = instance.type;
+  if (!instance.render) {
+    if (!isSSR && compile$2 && !Component.render) {
+      const template = Component.template || resolveMergedOptions(instance).template;
+      if (template) {
+        if (false) {
+          startMeasure(instance, `compile`);
+        }
+        const { isCustomElement, compilerOptions } = instance.appContext.config;
+        const { delimiters, compilerOptions: componentCompilerOptions } = Component;
+        const finalCompilerOptions = extend$1(
+          extend$1(
+            {
+              isCustomElement,
+              delimiters
+            },
+            compilerOptions
+          ),
+          componentCompilerOptions
+        );
+        Component.render = compile$2(template, finalCompilerOptions);
+        if (false) {
+          endMeasure(instance, `compile`);
+        }
+      }
+    }
+    instance.render = Component.render || NOOP;
+    if (installWithProxy) {
+      installWithProxy(instance);
+    }
+  }
+  if (true) {
+    const reset = setCurrentInstance(instance);
+    pauseTracking();
+    try {
+      applyOptions(instance);
+    } finally {
+      resetTracking();
+      reset();
+    }
+  }
+  if (false) {
+    if (!compile$2 && Component.template) {
+      warn$1(
+        `Component provided template option but runtime compilation is not supported in this build of Vue. Configure your bundler to alias "vue" to "vue/dist/vue.esm-bundler.js".`
+      );
+    } else {
+      warn$1(`Component is missing template or render function: `, Component);
+    }
+  }
+}
+__name(finishComponentSetup, "finishComponentSetup");
+const attrsProxyHandlers = false ? {
+  get(target, key) {
+    markAttrsAccessed();
+    track(target, "get", "");
+    return target[key];
+  },
+  set() {
+    warn$1(`setupContext.attrs is readonly.`);
+    return false;
+  },
+  deleteProperty() {
+    warn$1(`setupContext.attrs is readonly.`);
+    return false;
+  }
+} : {
+  get(target, key) {
+    track(target, "get", "");
+    return target[key];
+  }
+};
+function getSlotsProxy(instance) {
+  return instance.slotsProxy || (instance.slotsProxy = new Proxy(instance.slots, {
+    get(target, key) {
+      track(instance, "get", "$slots");
+      return target[key];
+    }
+  }));
+}
+__name(getSlotsProxy, "getSlotsProxy");
+function createSetupContext(instance) {
+  const expose = /* @__PURE__ */ __name((exposed) => {
+    if (false) {
+      if (instance.exposed) {
+        warn$1(`expose() should be called only once per setup().`);
+      }
+      if (exposed != null) {
+        let exposedType = typeof exposed;
+        if (exposedType === "object") {
+          if (isArray$4(exposed)) {
+            exposedType = "array";
+          } else if (isRef(exposed)) {
+            exposedType = "ref";
+          }
+        }
+        if (exposedType !== "object") {
+          warn$1(
+            `expose() should be passed a plain object, received ${exposedType}.`
+          );
+        }
+      }
+    }
+    instance.exposed = exposed || {};
+  }, "expose");
+  if (false) {
+    let attrsProxy;
+    return Object.freeze({
+      get attrs() {
+        return attrsProxy || (attrsProxy = new Proxy(instance.attrs, attrsProxyHandlers));
+      },
+      get slots() {
+        return getSlotsProxy(instance);
+      },
+      get emit() {
+        return (event2, ...args) => instance.emit(event2, ...args);
+      },
+      expose
+    });
+  } else {
+    return {
+      attrs: new Proxy(instance.attrs, attrsProxyHandlers),
+      slots: instance.slots,
+      emit: instance.emit,
+      expose
+    };
+  }
+}
+__name(createSetupContext, "createSetupContext");
+function getComponentPublicInstance(instance) {
+  if (instance.exposed) {
+    return instance.exposeProxy || (instance.exposeProxy = new Proxy(proxyRefs(markRaw(instance.exposed)), {
+      get(target, key) {
+        if (key in target) {
+          return target[key];
+        } else if (key in publicPropertiesMap) {
+          return publicPropertiesMap[key](instance);
+        }
+      },
+      has(target, key) {
+        return key in target || key in publicPropertiesMap;
+      }
+    }));
+  } else {
+    return instance.proxy;
+  }
+}
+__name(getComponentPublicInstance, "getComponentPublicInstance");
+const classifyRE = /(?:^|[-_])(\w)/g;
+const classify = /* @__PURE__ */ __name((str) => str.replace(classifyRE, (c) => c.toUpperCase()).replace(/[-_]/g, ""), "classify");
+function getComponentName(Component, includeInferred = true) {
+  return isFunction$4(Component) ? Component.displayName || Component.name : Component.name || includeInferred && Component.__name;
+}
+__name(getComponentName, "getComponentName");
+function formatComponentName(instance, Component, isRoot = false) {
+  let name = getComponentName(Component);
+  if (!name && Component.__file) {
+    const match = Component.__file.match(/([^/\\]+)\.\w+$/);
+    if (match) {
+      name = match[1];
+    }
+  }
+  if (!name && instance && instance.parent) {
+    const inferFromRegistry = /* @__PURE__ */ __name((registry) => {
+      for (const key in registry) {
+        if (registry[key] === Component) {
+          return key;
+        }
+      }
+    }, "inferFromRegistry");
+    name = inferFromRegistry(
+      instance.components || instance.parent.type.components
+    ) || inferFromRegistry(instance.appContext.components);
+  }
+  return name ? classify(name) : isRoot ? `App` : `Anonymous`;
+}
+__name(formatComponentName, "formatComponentName");
+function isClassComponent(value3) {
+  return isFunction$4(value3) && "__vccOpts" in value3;
+}
+__name(isClassComponent, "isClassComponent");
+const computed = /* @__PURE__ */ __name((getterOrOptions, debugOptions) => {
+  const c = computed$1(getterOrOptions, debugOptions, isInSSRComponentSetup);
+  if (false) {
+    const i2 = getCurrentInstance();
+    if (i2 && i2.appContext.config.warnRecursiveComputed) {
+      c._warnRecursive = true;
+    }
+  }
+  return c;
+}, "computed");
+function useModel(props, name, options3 = EMPTY_OBJ) {
+  const i2 = getCurrentInstance();
+  if (false) {
+    warn$1(`useModel() called without active instance.`);
+    return ref();
+  }
+  if (false) {
+    warn$1(`useModel() called with prop "${name}" which is not declared.`);
+    return ref();
+  }
+  const camelizedName = camelize$1(name);
+  const hyphenatedName = hyphenate$1(name);
+  const res = customRef((track2, trigger2) => {
+    let localValue;
+    watchSyncEffect(() => {
+      const propValue = props[name];
+      if (hasChanged(localValue, propValue)) {
+        localValue = propValue;
+        trigger2();
+      }
+    });
+    return {
+      get() {
+        track2();
+        return options3.get ? options3.get(localValue) : localValue;
+      },
+      set(value3) {
+        const rawProps = i2.vnode.props;
+        if (!(rawProps && // check if parent has passed v-model
+        (name in rawProps || camelizedName in rawProps || hyphenatedName in rawProps) && (`onUpdate:${name}` in rawProps || `onUpdate:${camelizedName}` in rawProps || `onUpdate:${hyphenatedName}` in rawProps)) && hasChanged(value3, localValue)) {
+          localValue = value3;
+          trigger2();
+        }
+        i2.emit(`update:${name}`, options3.set ? options3.set(value3) : value3);
+      }
+    };
+  });
+  const modifierKey = name === "modelValue" ? "modelModifiers" : `${name}Modifiers`;
+  res[Symbol.iterator] = () => {
+    let i22 = 0;
+    return {
+      next() {
+        if (i22 < 2) {
+          return { value: i22++ ? props[modifierKey] || {} : res, done: false };
+        } else {
+          return { done: true };
+        }
+      }
+    };
+  };
+  return res;
+}
+__name(useModel, "useModel");
+function h(type, propsOrChildren, children) {
+  const l = arguments.length;
+  if (l === 2) {
+    if (isObject$6(propsOrChildren) && !isArray$4(propsOrChildren)) {
+      if (isVNode$1(propsOrChildren)) {
+        return createVNode(type, null, [propsOrChildren]);
+      }
+      return createVNode(type, propsOrChildren);
+    } else {
+      return createVNode(type, null, propsOrChildren);
+    }
+  } else {
+    if (l > 3) {
+      children = Array.prototype.slice.call(arguments, 2);
+    } else if (l === 3 && isVNode$1(children)) {
+      children = [children];
+    }
+    return createVNode(type, propsOrChildren, children);
+  }
+}
+__name(h, "h");
+function initCustomFormatter() {
+  if (true) {
+    return;
+  }
+  const vueStyle = { style: "color:#3ba776" };
+  const numberStyle = { style: "color:#1677ff" };
+  const stringStyle = { style: "color:#f5222d" };
+  const keywordStyle = { style: "color:#eb2f96" };
+  const formatter = {
+    header(obj) {
+      if (!isObject$6(obj)) {
+        return null;
+      }
+      if (obj.__isVue) {
+        return ["div", vueStyle, `VueInstance`];
+      } else if (isRef(obj)) {
+        return [
+          "div",
+          {},
+          ["span", vueStyle, genRefFlag(obj)],
+          "<",
+          formatValue2(obj.value),
+          `>`
+        ];
+      } else if (isReactive(obj)) {
+        return [
+          "div",
+          {},
+          ["span", vueStyle, isShallow(obj) ? "ShallowReactive" : "Reactive"],
+          "<",
+          formatValue2(obj),
+          `>${isReadonly(obj) ? ` (readonly)` : ``}`
+        ];
+      } else if (isReadonly(obj)) {
+        return [
+          "div",
+          {},
+          ["span", vueStyle, isShallow(obj) ? "ShallowReadonly" : "Readonly"],
+          "<",
+          formatValue2(obj),
+          ">"
+        ];
+      }
+      return null;
+    },
+    hasBody(obj) {
+      return obj && obj.__isVue;
+    },
+    body(obj) {
+      if (obj && obj.__isVue) {
+        return [
+          "div",
+          {},
+          ...formatInstance(obj.$)
+        ];
+      }
+    }
+  };
+  function formatInstance(instance) {
+    const blocks = [];
+    if (instance.type.props && instance.props) {
+      blocks.push(createInstanceBlock("props", toRaw(instance.props)));
+    }
+    if (instance.setupState !== EMPTY_OBJ) {
+      blocks.push(createInstanceBlock("setup", instance.setupState));
+    }
+    if (instance.data !== EMPTY_OBJ) {
+      blocks.push(createInstanceBlock("data", toRaw(instance.data)));
+    }
+    const computed2 = extractKeys(instance, "computed");
+    if (computed2) {
+      blocks.push(createInstanceBlock("computed", computed2));
+    }
+    const injected = extractKeys(instance, "inject");
+    if (injected) {
+      blocks.push(createInstanceBlock("injected", injected));
+    }
+    blocks.push([
+      "div",
+      {},
+      [
+        "span",
+        {
+          style: keywordStyle.style + ";opacity:0.66"
+        },
+        "$ (internal): "
+      ],
+      ["object", { object: instance }]
+    ]);
+    return blocks;
+  }
+  __name(formatInstance, "formatInstance");
+  function createInstanceBlock(type, target) {
+    target = extend$1({}, target);
+    if (!Object.keys(target).length) {
+      return ["span", {}];
+    }
+    return [
+      "div",
+      { style: "line-height:1.25em;margin-bottom:0.6em" },
+      [
+        "div",
+        {
+          style: "color:#476582"
+        },
+        type
+      ],
+      [
+        "div",
+        {
+          style: "padding-left:1.25em"
+        },
+        ...Object.keys(target).map((key) => {
+          return [
+            "div",
+            {},
+            ["span", keywordStyle, key + ": "],
+            formatValue2(target[key], false)
+          ];
+        })
+      ]
+    ];
+  }
+  __name(createInstanceBlock, "createInstanceBlock");
+  function formatValue2(v2, asRaw = true) {
+    if (typeof v2 === "number") {
+      return ["span", numberStyle, v2];
+    } else if (typeof v2 === "string") {
+      return ["span", stringStyle, JSON.stringify(v2)];
+    } else if (typeof v2 === "boolean") {
+      return ["span", keywordStyle, v2];
+    } else if (isObject$6(v2)) {
+      return ["object", { object: asRaw ? toRaw(v2) : v2 }];
+    } else {
+      return ["span", stringStyle, String(v2)];
+    }
+  }
+  __name(formatValue2, "formatValue");
+  function extractKeys(instance, type) {
+    const Comp = instance.type;
+    if (isFunction$4(Comp)) {
+      return;
+    }
+    const extracted = {};
+    for (const key in instance.ctx) {
+      if (isKeyOfType(Comp, key, type)) {
+        extracted[key] = instance.ctx[key];
+      }
+    }
+    return extracted;
+  }
+  __name(extractKeys, "extractKeys");
+  function isKeyOfType(Comp, key, type) {
+    const opts = Comp[type];
+    if (isArray$4(opts) && opts.includes(key) || isObject$6(opts) && key in opts) {
+      return true;
+    }
+    if (Comp.extends && isKeyOfType(Comp.extends, key, type)) {
+      return true;
+    }
+    if (Comp.mixins && Comp.mixins.some((m) => isKeyOfType(m, key, type))) {
+      return true;
+    }
+  }
+  __name(isKeyOfType, "isKeyOfType");
+  function genRefFlag(v2) {
+    if (isShallow(v2)) {
+      return `ShallowRef`;
+    }
+    if (v2.effect) {
+      return `ComputedRef`;
+    }
+    return `Ref`;
+  }
+  __name(genRefFlag, "genRefFlag");
+  if (window.devtoolsFormatters) {
+    window.devtoolsFormatters.push(formatter);
+  } else {
+    window.devtoolsFormatters = [formatter];
+  }
+}
+__name(initCustomFormatter, "initCustomFormatter");
+function withMemo(memo, render2, cache2, index2) {
+  const cached = cache2[index2];
+  if (cached && isMemoSame(cached, memo)) {
+    return cached;
+  }
+  const ret = render2();
+  ret.memo = memo.slice();
+  ret.memoIndex = index2;
+  return cache2[index2] = ret;
+}
+__name(withMemo, "withMemo");
+function isMemoSame(cached, memo) {
+  const prev2 = cached.memo;
+  if (prev2.length != memo.length) {
+    return false;
+  }
+  for (let i2 = 0; i2 < prev2.length; i2++) {
+    if (hasChanged(prev2[i2], memo[i2])) {
+      return false;
+    }
+  }
+  if (isBlockTreeEnabled > 0 && currentBlock) {
+    currentBlock.push(cached);
+  }
+  return true;
+}
+__name(isMemoSame, "isMemoSame");
+const version = "3.4.31";
+const warn$2 = false ? warn$1 : NOOP;
+const ErrorTypeStrings = ErrorTypeStrings$1;
+const devtools$2 = true ? devtools$1 : void 0;
+const setDevtoolsHook = true ? setDevtoolsHook$1 : NOOP;
+const _ssrUtils = {
+  createComponentInstance,
+  setupComponent,
+  renderComponentRoot,
+  setCurrentRenderingInstance,
+  isVNode: isVNode$1,
+  normalizeVNode,
+  getComponentPublicInstance
+};
+const ssrUtils = _ssrUtils;
+const resolveFilter = null;
+const compatUtils = null;
+const DeprecationTypes = null;
+/**
+* @vue/runtime-dom v3.4.31
+* (c) 2018-present Yuxi (Evan) You and Vue contributors
+* @license MIT
+**/
+const svgNS = "http://www.w3.org/2000/svg";
+const mathmlNS = "http://www.w3.org/1998/Math/MathML";
+const doc = typeof document !== "undefined" ? document : null;
+const templateContainer = doc && /* @__PURE__ */ doc.createElement("template");
+const nodeOps = {
+  insert: /* @__PURE__ */ __name((child, parent, anchor) => {
+    parent.insertBefore(child, anchor || null);
+  }, "insert"),
+  remove: /* @__PURE__ */ __name((child) => {
+    const parent = child.parentNode;
+    if (parent) {
+      parent.removeChild(child);
+    }
+  }, "remove"),
+  createElement: /* @__PURE__ */ __name((tag, namespace, is, props) => {
+    const el = namespace === "svg" ? doc.createElementNS(svgNS, tag) : namespace === "mathml" ? doc.createElementNS(mathmlNS, tag) : is ? doc.createElement(tag, { is }) : doc.createElement(tag);
+    if (tag === "select" && props && props.multiple != null) {
+      el.setAttribute("multiple", props.multiple);
+    }
+    return el;
+  }, "createElement"),
+  createText: /* @__PURE__ */ __name((text) => doc.createTextNode(text), "createText"),
+  createComment: /* @__PURE__ */ __name((text) => doc.createComment(text), "createComment"),
+  setText: /* @__PURE__ */ __name((node3, text) => {
+    node3.nodeValue = text;
+  }, "setText"),
+  setElementText: /* @__PURE__ */ __name((el, text) => {
+    el.textContent = text;
+  }, "setElementText"),
+  parentNode: /* @__PURE__ */ __name((node3) => node3.parentNode, "parentNode"),
+  nextSibling: /* @__PURE__ */ __name((node3) => node3.nextSibling, "nextSibling"),
+  querySelector: /* @__PURE__ */ __name((selector) => doc.querySelector(selector), "querySelector"),
+  setScopeId(el, id2) {
+    el.setAttribute(id2, "");
+  },
+  // __UNSAFE__
+  // Reason: innerHTML.
+  // Static content here can only come from compiled templates.
+  // As long as the user only uses trusted templates, this is safe.
+  insertStaticContent(content, parent, anchor, namespace, start2, end) {
+    const before = anchor ? anchor.previousSibling : parent.lastChild;
+    if (start2 && (start2 === end || start2.nextSibling)) {
+      while (true) {
+        parent.insertBefore(start2.cloneNode(true), anchor);
+        if (start2 === end || !(start2 = start2.nextSibling)) break;
+      }
+    } else {
+      templateContainer.innerHTML = namespace === "svg" ? `<svg>${content}</svg>` : namespace === "mathml" ? `<math>${content}</math>` : content;
+      const template = templateContainer.content;
+      if (namespace === "svg" || namespace === "mathml") {
+        const wrapper = template.firstChild;
+        while (wrapper.firstChild) {
+          template.appendChild(wrapper.firstChild);
+        }
+        template.removeChild(wrapper);
+      }
+      parent.insertBefore(template, anchor);
+    }
+    return [
+      // first
+      before ? before.nextSibling : parent.firstChild,
+      // last
+      anchor ? anchor.previousSibling : parent.lastChild
+    ];
+  }
+};
+const TRANSITION = "transition";
+const ANIMATION = "animation";
+const vtcKey = Symbol("_vtc");
+const Transition = /* @__PURE__ */ __name((props, { slots }) => h(BaseTransition, resolveTransitionProps(props), slots), "Transition");
+Transition.displayName = "Transition";
+const DOMTransitionPropsValidators = {
+  name: String,
+  type: String,
+  css: {
+    type: Boolean,
+    default: true
+  },
+  duration: [String, Number, Object],
+  enterFromClass: String,
+  enterActiveClass: String,
+  enterToClass: String,
+  appearFromClass: String,
+  appearActiveClass: String,
+  appearToClass: String,
+  leaveFromClass: String,
+  leaveActiveClass: String,
+  leaveToClass: String
+};
+const TransitionPropsValidators = Transition.props = /* @__PURE__ */ extend$1(
+  {},
+  BaseTransitionPropsValidators,
+  DOMTransitionPropsValidators
+);
+const callHook = /* @__PURE__ */ __name((hook, args = []) => {
+  if (isArray$4(hook)) {
+    hook.forEach((h2) => h2(...args));
+  } else if (hook) {
+    hook(...args);
+  }
+}, "callHook");
+const hasExplicitCallback = /* @__PURE__ */ __name((hook) => {
+  return hook ? isArray$4(hook) ? hook.some((h2) => h2.length > 1) : hook.length > 1 : false;
+}, "hasExplicitCallback");
+function resolveTransitionProps(rawProps) {
+  const baseProps = {};
+  for (const key in rawProps) {
+    if (!(key in DOMTransitionPropsValidators)) {
+      baseProps[key] = rawProps[key];
+    }
+  }
+  if (rawProps.css === false) {
+    return baseProps;
+  }
+  const {
+    name = "v",
+    type,
+    duration,
+    enterFromClass = `${name}-enter-from`,
+    enterActiveClass = `${name}-enter-active`,
+    enterToClass = `${name}-enter-to`,
+    appearFromClass = enterFromClass,
+    appearActiveClass = enterActiveClass,
+    appearToClass = enterToClass,
+    leaveFromClass = `${name}-leave-from`,
+    leaveActiveClass = `${name}-leave-active`,
+    leaveToClass = `${name}-leave-to`
+  } = rawProps;
+  const durations = normalizeDuration(duration);
+  const enterDuration = durations && durations[0];
+  const leaveDuration = durations && durations[1];
+  const {
+    onBeforeEnter: onBeforeEnter3,
+    onEnter: onEnter8,
+    onEnterCancelled,
+    onLeave: onLeave6,
+    onLeaveCancelled,
+    onBeforeAppear = onBeforeEnter3,
+    onAppear = onEnter8,
+    onAppearCancelled = onEnterCancelled
+  } = baseProps;
+  const finishEnter = /* @__PURE__ */ __name((el, isAppear, done) => {
+    removeTransitionClass(el, isAppear ? appearToClass : enterToClass);
+    removeTransitionClass(el, isAppear ? appearActiveClass : enterActiveClass);
+    done && done();
+  }, "finishEnter");
+  const finishLeave = /* @__PURE__ */ __name((el, done) => {
+    el._isLeaving = false;
+    removeTransitionClass(el, leaveFromClass);
+    removeTransitionClass(el, leaveToClass);
+    removeTransitionClass(el, leaveActiveClass);
+    done && done();
+  }, "finishLeave");
+  const makeEnterHook = /* @__PURE__ */ __name((isAppear) => {
+    return (el, done) => {
+      const hook = isAppear ? onAppear : onEnter8;
+      const resolve8 = /* @__PURE__ */ __name(() => finishEnter(el, isAppear, done), "resolve");
+      callHook(hook, [el, resolve8]);
+      nextFrame(() => {
+        removeTransitionClass(el, isAppear ? appearFromClass : enterFromClass);
+        addTransitionClass(el, isAppear ? appearToClass : enterToClass);
+        if (!hasExplicitCallback(hook)) {
+          whenTransitionEnds(el, type, enterDuration, resolve8);
+        }
+      });
+    };
+  }, "makeEnterHook");
+  return extend$1(baseProps, {
+    onBeforeEnter(el) {
+      callHook(onBeforeEnter3, [el]);
+      addTransitionClass(el, enterFromClass);
+      addTransitionClass(el, enterActiveClass);
+    },
+    onBeforeAppear(el) {
+      callHook(onBeforeAppear, [el]);
+      addTransitionClass(el, appearFromClass);
+      addTransitionClass(el, appearActiveClass);
+    },
+    onEnter: makeEnterHook(false),
+    onAppear: makeEnterHook(true),
+    onLeave(el, done) {
+      el._isLeaving = true;
+      const resolve8 = /* @__PURE__ */ __name(() => finishLeave(el, done), "resolve");
+      addTransitionClass(el, leaveFromClass);
+      addTransitionClass(el, leaveActiveClass);
+      forceReflow();
+      nextFrame(() => {
+        if (!el._isLeaving) {
+          return;
+        }
+        removeTransitionClass(el, leaveFromClass);
+        addTransitionClass(el, leaveToClass);
+        if (!hasExplicitCallback(onLeave6)) {
+          whenTransitionEnds(el, type, leaveDuration, resolve8);
+        }
+      });
+      callHook(onLeave6, [el, resolve8]);
+    },
+    onEnterCancelled(el) {
+      finishEnter(el, false);
+      callHook(onEnterCancelled, [el]);
+    },
+    onAppearCancelled(el) {
+      finishEnter(el, true);
+      callHook(onAppearCancelled, [el]);
+    },
+    onLeaveCancelled(el) {
+      finishLeave(el);
+      callHook(onLeaveCancelled, [el]);
+    }
+  });
+}
+__name(resolveTransitionProps, "resolveTransitionProps");
+function normalizeDuration(duration) {
+  if (duration == null) {
+    return null;
+  } else if (isObject$6(duration)) {
+    return [NumberOf(duration.enter), NumberOf(duration.leave)];
+  } else {
+    const n = NumberOf(duration);
+    return [n, n];
+  }
+}
+__name(normalizeDuration, "normalizeDuration");
+function NumberOf(val) {
+  const res = toNumber(val);
+  if (false) {
+    assertNumber(res, "<transition> explicit duration");
+  }
+  return res;
+}
+__name(NumberOf, "NumberOf");
+function addTransitionClass(el, cls) {
+  cls.split(/\s+/).forEach((c) => c && el.classList.add(c));
+  (el[vtcKey] || (el[vtcKey] = /* @__PURE__ */ new Set())).add(cls);
+}
+__name(addTransitionClass, "addTransitionClass");
+function removeTransitionClass(el, cls) {
+  cls.split(/\s+/).forEach((c) => c && el.classList.remove(c));
+  const _vtc = el[vtcKey];
+  if (_vtc) {
+    _vtc.delete(cls);
+    if (!_vtc.size) {
+      el[vtcKey] = void 0;
+    }
+  }
+}
+__name(removeTransitionClass, "removeTransitionClass");
+function nextFrame(cb) {
+  requestAnimationFrame(() => {
+    requestAnimationFrame(cb);
+  });
+}
+__name(nextFrame, "nextFrame");
+let endId = 0;
+function whenTransitionEnds(el, expectedType, explicitTimeout, resolve8) {
+  const id2 = el._endId = ++endId;
+  const resolveIfNotStale = /* @__PURE__ */ __name(() => {
+    if (id2 === el._endId) {
+      resolve8();
+    }
+  }, "resolveIfNotStale");
+  if (explicitTimeout) {
+    return setTimeout(resolveIfNotStale, explicitTimeout);
+  }
+  const { type, timeout, propCount } = getTransitionInfo(el, expectedType);
+  if (!type) {
+    return resolve8();
+  }
+  const endEvent = type + "end";
+  let ended = 0;
+  const end = /* @__PURE__ */ __name(() => {
+    el.removeEventListener(endEvent, onEnd);
+    resolveIfNotStale();
+  }, "end");
+  const onEnd = /* @__PURE__ */ __name((e) => {
+    if (e.target === el && ++ended >= propCount) {
+      end();
+    }
+  }, "onEnd");
+  setTimeout(() => {
+    if (ended < propCount) {
+      end();
+    }
+  }, timeout + 1);
+  el.addEventListener(endEvent, onEnd);
+}
+__name(whenTransitionEnds, "whenTransitionEnds");
+function getTransitionInfo(el, expectedType) {
+  const styles = window.getComputedStyle(el);
+  const getStyleProperties = /* @__PURE__ */ __name((key) => (styles[key] || "").split(", "), "getStyleProperties");
+  const transitionDelays = getStyleProperties(`${TRANSITION}Delay`);
+  const transitionDurations = getStyleProperties(`${TRANSITION}Duration`);
+  const transitionTimeout = getTimeout(transitionDelays, transitionDurations);
+  const animationDelays = getStyleProperties(`${ANIMATION}Delay`);
+  const animationDurations = getStyleProperties(`${ANIMATION}Duration`);
+  const animationTimeout = getTimeout(animationDelays, animationDurations);
+  let type = null;
+  let timeout = 0;
+  let propCount = 0;
+  if (expectedType === TRANSITION) {
+    if (transitionTimeout > 0) {
+      type = TRANSITION;
+      timeout = transitionTimeout;
+      propCount = transitionDurations.length;
+    }
+  } else if (expectedType === ANIMATION) {
+    if (animationTimeout > 0) {
+      type = ANIMATION;
+      timeout = animationTimeout;
+      propCount = animationDurations.length;
+    }
+  } else {
+    timeout = Math.max(transitionTimeout, animationTimeout);
+    type = timeout > 0 ? transitionTimeout > animationTimeout ? TRANSITION : ANIMATION : null;
+    propCount = type ? type === TRANSITION ? transitionDurations.length : animationDurations.length : 0;
+  }
+  const hasTransform = type === TRANSITION && /\b(transform|all)(,|$)/.test(
+    getStyleProperties(`${TRANSITION}Property`).toString()
+  );
+  return {
+    type,
+    timeout,
+    propCount,
+    hasTransform
+  };
+}
+__name(getTransitionInfo, "getTransitionInfo");
+function getTimeout(delays, durations) {
+  while (delays.length < durations.length) {
+    delays = delays.concat(delays);
+  }
+  return Math.max(...durations.map((d, i2) => toMs(d) + toMs(delays[i2])));
+}
+__name(getTimeout, "getTimeout");
+function toMs(s) {
+  if (s === "auto") return 0;
+  return Number(s.slice(0, -1).replace(",", ".")) * 1e3;
+}
+__name(toMs, "toMs");
+function forceReflow() {
+  return document.body.offsetHeight;
+}
+__name(forceReflow, "forceReflow");
+function patchClass(el, value3, isSVG) {
+  const transitionClasses = el[vtcKey];
+  if (transitionClasses) {
+    value3 = (value3 ? [value3, ...transitionClasses] : [...transitionClasses]).join(" ");
+  }
+  if (value3 == null) {
+    el.removeAttribute("class");
+  } else if (isSVG) {
+    el.setAttribute("class", value3);
+  } else {
+    el.className = value3;
+  }
+}
+__name(patchClass, "patchClass");
+const vShowOriginalDisplay = Symbol("_vod");
+const vShowHidden = Symbol("_vsh");
+const vShow = {
+  beforeMount(el, { value: value3 }, { transition }) {
+    el[vShowOriginalDisplay] = el.style.display === "none" ? "" : el.style.display;
+    if (transition && value3) {
+      transition.beforeEnter(el);
+    } else {
+      setDisplay(el, value3);
+    }
+  },
+  mounted(el, { value: value3 }, { transition }) {
+    if (transition && value3) {
+      transition.enter(el);
+    }
+  },
+  updated(el, { value: value3, oldValue }, { transition }) {
+    if (!value3 === !oldValue) return;
+    if (transition) {
+      if (value3) {
+        transition.beforeEnter(el);
+        setDisplay(el, true);
+        transition.enter(el);
+      } else {
+        transition.leave(el, () => {
+          setDisplay(el, false);
+        });
+      }
+    } else {
+      setDisplay(el, value3);
+    }
+  },
+  beforeUnmount(el, { value: value3 }) {
+    setDisplay(el, value3);
+  }
+};
+if (false) {
+  vShow.name = "show";
+}
+function setDisplay(el, value3) {
+  el.style.display = value3 ? el[vShowOriginalDisplay] : "none";
+  el[vShowHidden] = !value3;
+}
+__name(setDisplay, "setDisplay");
+function initVShowForSSR() {
+  vShow.getSSRProps = ({ value: value3 }) => {
+    if (!value3) {
+      return { style: { display: "none" } };
+    }
+  };
+}
+__name(initVShowForSSR, "initVShowForSSR");
+const CSS_VAR_TEXT = Symbol(false ? "CSS_VAR_TEXT" : "");
+function useCssVars(getter) {
+  const instance = getCurrentInstance();
+  if (!instance) {
+    return;
+  }
+  const updateTeleports = instance.ut = (vars = getter(instance.proxy)) => {
+    Array.from(
+      document.querySelectorAll(`[data-v-owner="${instance.uid}"]`)
+    ).forEach((node3) => setVarsOnNode(node3, vars));
+  };
+  if (false) {
+    instance.getCssVars = () => getter(instance.proxy);
+  }
+  const setVars = /* @__PURE__ */ __name(() => {
+    const vars = getter(instance.proxy);
+    setVarsOnVNode(instance.subTree, vars);
+    updateTeleports(vars);
+  }, "setVars");
+  onMounted(() => {
+    watchPostEffect(setVars);
+    const ob = new MutationObserver(setVars);
+    ob.observe(instance.subTree.el.parentNode, { childList: true });
+    onUnmounted(() => ob.disconnect());
+  });
+}
+__name(useCssVars, "useCssVars");
+function setVarsOnVNode(vnode, vars) {
+  if (vnode.shapeFlag & 128) {
+    const suspense = vnode.suspense;
+    vnode = suspense.activeBranch;
+    if (suspense.pendingBranch && !suspense.isHydrating) {
+      suspense.effects.push(() => {
+        setVarsOnVNode(suspense.activeBranch, vars);
+      });
+    }
+  }
+  while (vnode.component) {
+    vnode = vnode.component.subTree;
+  }
+  if (vnode.shapeFlag & 1 && vnode.el) {
+    setVarsOnNode(vnode.el, vars);
+  } else if (vnode.type === Fragment) {
+    vnode.children.forEach((c) => setVarsOnVNode(c, vars));
+  } else if (vnode.type === Static) {
+    let { el, anchor } = vnode;
+    while (el) {
+      setVarsOnNode(el, vars);
+      if (el === anchor) break;
+      el = el.nextSibling;
+    }
+  }
+}
+__name(setVarsOnVNode, "setVarsOnVNode");
+function setVarsOnNode(el, vars) {
+  if (el.nodeType === 1) {
+    const style = el.style;
+    let cssText = "";
+    for (const key in vars) {
+      style.setProperty(`--${key}`, vars[key]);
+      cssText += `--${key}: ${vars[key]};`;
+    }
+    style[CSS_VAR_TEXT] = cssText;
+  }
+}
+__name(setVarsOnNode, "setVarsOnNode");
+const displayRE = /(^|;)\s*display\s*:/;
+function patchStyle(el, prev2, next2) {
+  const style = el.style;
+  const isCssString = isString$5(next2);
+  let hasControlledDisplay = false;
+  if (next2 && !isCssString) {
+    if (prev2) {
+      if (!isString$5(prev2)) {
+        for (const key in prev2) {
+          if (next2[key] == null) {
+            setStyle(style, key, "");
+          }
+        }
+      } else {
+        for (const prevStyle of prev2.split(";")) {
+          const key = prevStyle.slice(0, prevStyle.indexOf(":")).trim();
+          if (next2[key] == null) {
+            setStyle(style, key, "");
+          }
+        }
+      }
+    }
+    for (const key in next2) {
+      if (key === "display") {
+        hasControlledDisplay = true;
+      }
+      setStyle(style, key, next2[key]);
+    }
+  } else {
+    if (isCssString) {
+      if (prev2 !== next2) {
+        const cssVarText = style[CSS_VAR_TEXT];
+        if (cssVarText) {
+          next2 += ";" + cssVarText;
+        }
+        style.cssText = next2;
+        hasControlledDisplay = displayRE.test(next2);
+      }
+    } else if (prev2) {
+      el.removeAttribute("style");
+    }
+  }
+  if (vShowOriginalDisplay in el) {
+    el[vShowOriginalDisplay] = hasControlledDisplay ? style.display : "";
+    if (el[vShowHidden]) {
+      style.display = "none";
+    }
+  }
+}
+__name(patchStyle, "patchStyle");
+const semicolonRE = /[^\\];\s*$/;
+const importantRE = /\s*!important$/;
+function setStyle(style, name, val) {
+  if (isArray$4(val)) {
+    val.forEach((v2) => setStyle(style, name, v2));
+  } else {
+    if (val == null) val = "";
+    if (false) {
+      if (semicolonRE.test(val)) {
+        warn$2(
+          `Unexpected semicolon at the end of '${name}' style value: '${val}'`
+        );
+      }
+    }
+    if (name.startsWith("--")) {
+      style.setProperty(name, val);
+    } else {
+      const prefixed = autoPrefix(style, name);
+      if (importantRE.test(val)) {
+        style.setProperty(
+          hyphenate$1(prefixed),
+          val.replace(importantRE, ""),
+          "important"
+        );
+      } else {
+        style[prefixed] = val;
+      }
+    }
+  }
+}
+__name(setStyle, "setStyle");
+const prefixes = ["Webkit", "Moz", "ms"];
+const prefixCache = {};
+function autoPrefix(style, rawName) {
+  const cached = prefixCache[rawName];
+  if (cached) {
+    return cached;
+  }
+  let name = camelize$1(rawName);
+  if (name !== "filter" && name in style) {
+    return prefixCache[rawName] = name;
+  }
+  name = capitalize$1(name);
+  for (let i2 = 0; i2 < prefixes.length; i2++) {
+    const prefixed = prefixes[i2] + name;
+    if (prefixed in style) {
+      return prefixCache[rawName] = prefixed;
+    }
+  }
+  return rawName;
+}
+__name(autoPrefix, "autoPrefix");
+const xlinkNS = "http://www.w3.org/1999/xlink";
+function patchAttr(el, key, value3, isSVG, instance, isBoolean2 = isSpecialBooleanAttr(key)) {
+  if (isSVG && key.startsWith("xlink:")) {
+    if (value3 == null) {
+      el.removeAttributeNS(xlinkNS, key.slice(6, key.length));
+    } else {
+      el.setAttributeNS(xlinkNS, key, value3);
+    }
+  } else {
+    if (value3 == null || isBoolean2 && !includeBooleanAttr(value3)) {
+      el.removeAttribute(key);
+    } else {
+      el.setAttribute(
+        key,
+        isBoolean2 ? "" : isSymbol$1(value3) ? String(value3) : value3
+      );
+    }
+  }
+}
+__name(patchAttr, "patchAttr");
+function patchDOMProp(el, key, value3, prevChildren, parentComponent, parentSuspense, unmountChildren) {
+  if (key === "innerHTML" || key === "textContent") {
+    if (prevChildren) {
+      unmountChildren(prevChildren, parentComponent, parentSuspense);
+    }
+    el[key] = value3 == null ? "" : value3;
+    return;
+  }
+  const tag = el.tagName;
+  if (key === "value" && tag !== "PROGRESS" && // custom elements may use _value internally
+  !tag.includes("-")) {
+    const oldValue = tag === "OPTION" ? el.getAttribute("value") || "" : el.value;
+    const newValue = value3 == null ? "" : String(value3);
+    if (oldValue !== newValue || !("_value" in el)) {
+      el.value = newValue;
+    }
+    if (value3 == null) {
+      el.removeAttribute(key);
+    }
+    el._value = value3;
+    return;
+  }
+  let needRemove = false;
+  if (value3 === "" || value3 == null) {
+    const type = typeof el[key];
+    if (type === "boolean") {
+      value3 = includeBooleanAttr(value3);
+    } else if (value3 == null && type === "string") {
+      value3 = "";
+      needRemove = true;
+    } else if (type === "number") {
+      value3 = 0;
+      needRemove = true;
+    }
+  }
+  try {
+    el[key] = value3;
+  } catch (e) {
+    if (false) {
+      warn$2(
+        `Failed setting prop "${key}" on <${tag.toLowerCase()}>: value ${value3} is invalid.`,
+        e
+      );
+    }
+  }
+  needRemove && el.removeAttribute(key);
+}
+__name(patchDOMProp, "patchDOMProp");
+function addEventListener(el, event2, handler6, options3) {
+  el.addEventListener(event2, handler6, options3);
+}
+__name(addEventListener, "addEventListener");
+function removeEventListener(el, event2, handler6, options3) {
+  el.removeEventListener(event2, handler6, options3);
+}
+__name(removeEventListener, "removeEventListener");
+const veiKey = Symbol("_vei");
+function patchEvent(el, rawName, prevValue, nextValue, instance = null) {
+  const invokers = el[veiKey] || (el[veiKey] = {});
+  const existingInvoker = invokers[rawName];
+  if (nextValue && existingInvoker) {
+    existingInvoker.value = false ? sanitizeEventValue(nextValue, rawName) : nextValue;
+  } else {
+    const [name, options3] = parseName(rawName);
+    if (nextValue) {
+      const invoker = invokers[rawName] = createInvoker(
+        false ? sanitizeEventValue(nextValue, rawName) : nextValue,
+        instance
+      );
+      addEventListener(el, name, invoker, options3);
+    } else if (existingInvoker) {
+      removeEventListener(el, name, existingInvoker, options3);
+      invokers[rawName] = void 0;
+    }
+  }
+}
+__name(patchEvent, "patchEvent");
+const optionsModifierRE = /(?:Once|Passive|Capture)$/;
+function parseName(name) {
+  let options3;
+  if (optionsModifierRE.test(name)) {
+    options3 = {};
+    let m;
+    while (m = name.match(optionsModifierRE)) {
+      name = name.slice(0, name.length - m[0].length);
+      options3[m[0].toLowerCase()] = true;
+    }
+  }
+  const event2 = name[2] === ":" ? name.slice(3) : hyphenate$1(name.slice(2));
+  return [event2, options3];
+}
+__name(parseName, "parseName");
+let cachedNow = 0;
+const p = /* @__PURE__ */ Promise.resolve();
+const getNow = /* @__PURE__ */ __name(() => cachedNow || (p.then(() => cachedNow = 0), cachedNow = Date.now()), "getNow");
+function createInvoker(initialValue, instance) {
+  const invoker = /* @__PURE__ */ __name((e) => {
+    if (!e._vts) {
+      e._vts = Date.now();
+    } else if (e._vts <= invoker.attached) {
+      return;
+    }
+    callWithAsyncErrorHandling(
+      patchStopImmediatePropagation(e, invoker.value),
+      instance,
+      5,
+      [e]
+    );
+  }, "invoker");
+  invoker.value = initialValue;
+  invoker.attached = getNow();
+  return invoker;
+}
+__name(createInvoker, "createInvoker");
+function sanitizeEventValue(value3, propName) {
+  if (isFunction$4(value3) || isArray$4(value3)) {
+    return value3;
+  }
+  warn$2(
+    `Wrong type passed as event handler to ${propName} - did you forget @ or : in front of your prop?
+Expected function or array of functions, received type ${typeof value3}.`
+  );
+  return NOOP;
+}
+__name(sanitizeEventValue, "sanitizeEventValue");
+function patchStopImmediatePropagation(e, value3) {
+  if (isArray$4(value3)) {
+    const originalStop = e.stopImmediatePropagation;
+    e.stopImmediatePropagation = () => {
+      originalStop.call(e);
+      e._stopped = true;
+    };
+    return value3.map(
+      (fn) => (e2) => !e2._stopped && fn && fn(e2)
+    );
+  } else {
+    return value3;
+  }
+}
+__name(patchStopImmediatePropagation, "patchStopImmediatePropagation");
+const isNativeOn = /* @__PURE__ */ __name((key) => key.charCodeAt(0) === 111 && key.charCodeAt(1) === 110 && // lowercase letter
+key.charCodeAt(2) > 96 && key.charCodeAt(2) < 123, "isNativeOn");
+const patchProp = /* @__PURE__ */ __name((el, key, prevValue, nextValue, namespace, prevChildren, parentComponent, parentSuspense, unmountChildren) => {
+  const isSVG = namespace === "svg";
+  if (key === "class") {
+    patchClass(el, nextValue, isSVG);
+  } else if (key === "style") {
+    patchStyle(el, prevValue, nextValue);
+  } else if (isOn(key)) {
+    if (!isModelListener(key)) {
+      patchEvent(el, key, prevValue, nextValue, parentComponent);
+    }
+  } else if (key[0] === "." ? (key = key.slice(1), true) : key[0] === "^" ? (key = key.slice(1), false) : shouldSetAsProp(el, key, nextValue, isSVG)) {
+    patchDOMProp(
+      el,
+      key,
+      nextValue,
+      prevChildren,
+      parentComponent,
+      parentSuspense,
+      unmountChildren
+    );
+    if (!el.tagName.includes("-") && (key === "value" || key === "checked" || key === "selected")) {
+      patchAttr(el, key, nextValue, isSVG, parentComponent, key !== "value");
+    }
+  } else {
+    if (key === "true-value") {
+      el._trueValue = nextValue;
+    } else if (key === "false-value") {
+      el._falseValue = nextValue;
+    }
+    patchAttr(el, key, nextValue, isSVG);
+  }
+}, "patchProp");
+function shouldSetAsProp(el, key, value3, isSVG) {
+  if (isSVG) {
+    if (key === "innerHTML" || key === "textContent") {
+      return true;
+    }
+    if (key in el && isNativeOn(key) && isFunction$4(value3)) {
+      return true;
+    }
+    return false;
+  }
+  if (key === "spellcheck" || key === "draggable" || key === "translate") {
+    return false;
+  }
+  if (key === "form") {
+    return false;
+  }
+  if (key === "list" && el.tagName === "INPUT") {
+    return false;
+  }
+  if (key === "type" && el.tagName === "TEXTAREA") {
+    return false;
+  }
+  if (key === "width" || key === "height") {
+    const tag = el.tagName;
+    if (tag === "IMG" || tag === "VIDEO" || tag === "CANVAS" || tag === "SOURCE") {
+      return false;
+    }
+  }
+  if (isNativeOn(key) && isString$5(value3)) {
+    return false;
+  }
+  return key in el;
+}
+__name(shouldSetAsProp, "shouldSetAsProp");
+/*! #__NO_SIDE_EFFECTS__ */
+// @__NO_SIDE_EFFECTS__
+function defineCustomElement(options3, extraOptions, hydrate2) {
+  const Comp = /* @__PURE__ */ defineComponent(options3, extraOptions);
+  class VueCustomElement extends VueElement {
+    static {
+      __name(this, "VueCustomElement");
+    }
+    constructor(initialProps) {
+      super(Comp, initialProps, hydrate2);
+    }
+  }
+  VueCustomElement.def = Comp;
+  return VueCustomElement;
+}
+__name(defineCustomElement, "defineCustomElement");
+/*! #__NO_SIDE_EFFECTS__ */
+const defineSSRCustomElement = /* @__PURE__ */ __name(/* @__NO_SIDE_EFFECTS__ */ (options3, extraOptions) => {
+  return /* @__PURE__ */ defineCustomElement(options3, extraOptions, hydrate);
+}, "defineSSRCustomElement");
+const BaseClass = typeof HTMLElement !== "undefined" ? HTMLElement : class {
+};
+class VueElement extends BaseClass {
+  static {
+    __name(this, "VueElement");
+  }
+  constructor(_def, _props = {}, hydrate2) {
+    super();
+    this._def = _def;
+    this._props = _props;
+    this._instance = null;
+    this._connected = false;
+    this._resolved = false;
+    this._numberProps = null;
+    this._ob = null;
+    if (this.shadowRoot && hydrate2) {
+      hydrate2(this._createVNode(), this.shadowRoot);
+    } else {
+      if (false) {
+        warn$2(
+          `Custom element has pre-rendered declarative shadow root but is not defined as hydratable. Use \`defineSSRCustomElement\`.`
+        );
+      }
+      this.attachShadow({ mode: "open" });
+      if (!this._def.__asyncLoader) {
+        this._resolveProps(this._def);
+      }
+    }
+  }
+  connectedCallback() {
+    this._connected = true;
+    if (!this._instance) {
+      if (this._resolved) {
+        this._update();
+      } else {
+        this._resolveDef();
+      }
+    }
+  }
+  disconnectedCallback() {
+    this._connected = false;
+    nextTick(() => {
+      if (!this._connected) {
+        if (this._ob) {
+          this._ob.disconnect();
+          this._ob = null;
+        }
+        render$V(null, this.shadowRoot);
+        this._instance = null;
+      }
+    });
+  }
+  /**
+   * resolve inner component definition (handle possible async component)
+   */
+  _resolveDef() {
+    this._resolved = true;
+    for (let i2 = 0; i2 < this.attributes.length; i2++) {
+      this._setAttr(this.attributes[i2].name);
+    }
+    this._ob = new MutationObserver((mutations) => {
+      for (const m of mutations) {
+        this._setAttr(m.attributeName);
+      }
+    });
+    this._ob.observe(this, { attributes: true });
+    const resolve8 = /* @__PURE__ */ __name((def2, isAsync2 = false) => {
+      const { props, styles } = def2;
+      let numberProps;
+      if (props && !isArray$4(props)) {
+        for (const key in props) {
+          const opt = props[key];
+          if (opt === Number || opt && opt.type === Number) {
+            if (key in this._props) {
+              this._props[key] = toNumber(this._props[key]);
+            }
+            (numberProps || (numberProps = /* @__PURE__ */ Object.create(null)))[camelize$1(key)] = true;
+          }
+        }
+      }
+      this._numberProps = numberProps;
+      if (isAsync2) {
+        this._resolveProps(def2);
+      }
+      this._applyStyles(styles);
+      this._update();
+    }, "resolve");
+    const asyncDef = this._def.__asyncLoader;
+    if (asyncDef) {
+      asyncDef().then((def2) => resolve8(def2, true));
+    } else {
+      resolve8(this._def);
+    }
+  }
+  _resolveProps(def2) {
+    const { props } = def2;
+    const declaredPropKeys = isArray$4(props) ? props : Object.keys(props || {});
+    for (const key of Object.keys(this)) {
+      if (key[0] !== "_" && declaredPropKeys.includes(key)) {
+        this._setProp(key, this[key], true, false);
+      }
+    }
+    for (const key of declaredPropKeys.map(camelize$1)) {
+      Object.defineProperty(this, key, {
+        get() {
+          return this._getProp(key);
+        },
+        set(val) {
+          this._setProp(key, val);
+        }
+      });
+    }
+  }
+  _setAttr(key) {
+    let value3 = this.hasAttribute(key) ? this.getAttribute(key) : void 0;
+    const camelKey = camelize$1(key);
+    if (this._numberProps && this._numberProps[camelKey]) {
+      value3 = toNumber(value3);
+    }
+    this._setProp(camelKey, value3, false);
+  }
+  /**
+   * @internal
+   */
+  _getProp(key) {
+    return this._props[key];
+  }
+  /**
+   * @internal
+   */
+  _setProp(key, val, shouldReflect = true, shouldUpdate = true) {
+    if (val !== this._props[key]) {
+      this._props[key] = val;
+      if (shouldUpdate && this._instance) {
+        this._update();
+      }
+      if (shouldReflect) {
+        if (val === true) {
+          this.setAttribute(hyphenate$1(key), "");
+        } else if (typeof val === "string" || typeof val === "number") {
+          this.setAttribute(hyphenate$1(key), val + "");
+        } else if (!val) {
+          this.removeAttribute(hyphenate$1(key));
+        }
+      }
+    }
+  }
+  _update() {
+    render$V(this._createVNode(), this.shadowRoot);
+  }
+  _createVNode() {
+    const vnode = createVNode(this._def, extend$1({}, this._props));
+    if (!this._instance) {
+      vnode.ce = (instance) => {
+        this._instance = instance;
+        instance.isCE = true;
+        if (false) {
+          instance.ceReload = (newStyles) => {
+            if (this._styles) {
+              this._styles.forEach((s) => this.shadowRoot.removeChild(s));
+              this._styles.length = 0;
+            }
+            this._applyStyles(newStyles);
+            this._instance = null;
+            this._update();
+          };
+        }
+        const dispatch = /* @__PURE__ */ __name((event2, args) => {
+          this.dispatchEvent(
+            new CustomEvent(event2, {
+              detail: args
+            })
+          );
+        }, "dispatch");
+        instance.emit = (event2, ...args) => {
+          dispatch(event2, args);
+          if (hyphenate$1(event2) !== event2) {
+            dispatch(hyphenate$1(event2), args);
+          }
+        };
+        let parent = this;
+        while (parent = parent && (parent.parentNode || parent.host)) {
+          if (parent instanceof VueElement) {
+            instance.parent = parent._instance;
+            instance.provides = parent._instance.provides;
+            break;
+          }
+        }
+      };
+    }
+    return vnode;
+  }
+  _applyStyles(styles) {
+    if (styles) {
+      styles.forEach((css4) => {
+        const s = document.createElement("style");
+        s.textContent = css4;
+        this.shadowRoot.appendChild(s);
+        if (false) {
+          (this._styles || (this._styles = [])).push(s);
+        }
+      });
+    }
+  }
+}
+function useCssModule(name = "$style") {
+  {
+    const instance = getCurrentInstance();
+    if (!instance) {
+      return EMPTY_OBJ;
+    }
+    const modules = instance.type.__cssModules;
+    if (!modules) {
+      return EMPTY_OBJ;
+    }
+    const mod = modules[name];
+    if (!mod) {
+      return EMPTY_OBJ;
+    }
+    return mod;
+  }
+}
+__name(useCssModule, "useCssModule");
+const positionMap = /* @__PURE__ */ new WeakMap();
+const newPositionMap = /* @__PURE__ */ new WeakMap();
+const moveCbKey = Symbol("_moveCb");
+const enterCbKey = Symbol("_enterCb");
+const TransitionGroupImpl = {
+  name: "TransitionGroup",
+  props: /* @__PURE__ */ extend$1({}, TransitionPropsValidators, {
+    tag: String,
+    moveClass: String
+  }),
+  setup(props, { slots }) {
+    const instance = getCurrentInstance();
+    const state = useTransitionState();
+    let prevChildren;
+    let children;
+    onUpdated(() => {
+      if (!prevChildren.length) {
+        return;
+      }
+      const moveClass = props.moveClass || `${props.name || "v"}-move`;
+      if (!hasCSSTransform(
+        prevChildren[0].el,
+        instance.vnode.el,
+        moveClass
+      )) {
+        return;
+      }
+      prevChildren.forEach(callPendingCbs);
+      prevChildren.forEach(recordPosition);
+      const movedChildren = prevChildren.filter(applyTranslation);
+      forceReflow();
+      movedChildren.forEach((c) => {
+        const el = c.el;
+        const style = el.style;
+        addTransitionClass(el, moveClass);
+        style.transform = style.webkitTransform = style.transitionDuration = "";
+        const cb = el[moveCbKey] = (e) => {
+          if (e && e.target !== el) {
+            return;
+          }
+          if (!e || /transform$/.test(e.propertyName)) {
+            el.removeEventListener("transitionend", cb);
+            el[moveCbKey] = null;
+            removeTransitionClass(el, moveClass);
+          }
+        };
+        el.addEventListener("transitionend", cb);
+      });
+    });
+    return () => {
+      const rawProps = toRaw(props);
+      const cssTransitionProps = resolveTransitionProps(rawProps);
+      let tag = rawProps.tag || Fragment;
+      prevChildren = [];
+      if (children) {
+        for (let i2 = 0; i2 < children.length; i2++) {
+          const child = children[i2];
+          if (child.el && child.el instanceof Element) {
+            prevChildren.push(child);
+            setTransitionHooks(
+              child,
+              resolveTransitionHooks(
+                child,
+                cssTransitionProps,
+                state,
+                instance
+              )
+            );
+            positionMap.set(
+              child,
+              child.el.getBoundingClientRect()
+            );
+          }
+        }
+      }
+      children = slots.default ? getTransitionRawChildren(slots.default()) : [];
+      for (let i2 = 0; i2 < children.length; i2++) {
+        const child = children[i2];
+        if (child.key != null) {
+          setTransitionHooks(
+            child,
+            resolveTransitionHooks(child, cssTransitionProps, state, instance)
+          );
+        } else if (false) {
+          warn$2(`<TransitionGroup> children must be keyed.`);
+        }
+      }
+      return createVNode(tag, null, children);
+    };
+  }
+};
+const removeMode = /* @__PURE__ */ __name((props) => delete props.mode, "removeMode");
+/* @__PURE__ */ removeMode(TransitionGroupImpl.props);
+const TransitionGroup = TransitionGroupImpl;
+function callPendingCbs(c) {
+  const el = c.el;
+  if (el[moveCbKey]) {
+    el[moveCbKey]();
+  }
+  if (el[enterCbKey]) {
+    el[enterCbKey]();
+  }
+}
+__name(callPendingCbs, "callPendingCbs");
+function recordPosition(c) {
+  newPositionMap.set(c, c.el.getBoundingClientRect());
+}
+__name(recordPosition, "recordPosition");
+function applyTranslation(c) {
+  const oldPos = positionMap.get(c);
+  const newPos = newPositionMap.get(c);
+  const dx = oldPos.left - newPos.left;
+  const dy = oldPos.top - newPos.top;
+  if (dx || dy) {
+    const s = c.el.style;
+    s.transform = s.webkitTransform = `translate(${dx}px,${dy}px)`;
+    s.transitionDuration = "0s";
+    return c;
+  }
+}
+__name(applyTranslation, "applyTranslation");
+function hasCSSTransform(el, root26, moveClass) {
+  const clone2 = el.cloneNode();
+  const _vtc = el[vtcKey];
+  if (_vtc) {
+    _vtc.forEach((cls) => {
+      cls.split(/\s+/).forEach((c) => c && clone2.classList.remove(c));
+    });
+  }
+  moveClass.split(/\s+/).forEach((c) => c && clone2.classList.add(c));
+  clone2.style.display = "none";
+  const container = root26.nodeType === 1 ? root26 : root26.parentNode;
+  container.appendChild(clone2);
+  const { hasTransform } = getTransitionInfo(clone2);
+  container.removeChild(clone2);
+  return hasTransform;
+}
+__name(hasCSSTransform, "hasCSSTransform");
+const getModelAssigner = /* @__PURE__ */ __name((vnode) => {
+  const fn = vnode.props["onUpdate:modelValue"] || false;
+  return isArray$4(fn) ? (value3) => invokeArrayFns(fn, value3) : fn;
+}, "getModelAssigner");
+function onCompositionStart(e) {
+  e.target.composing = true;
+}
+__name(onCompositionStart, "onCompositionStart");
+function onCompositionEnd(e) {
+  const target = e.target;
+  if (target.composing) {
+    target.composing = false;
+    target.dispatchEvent(new Event("input"));
+  }
+}
+__name(onCompositionEnd, "onCompositionEnd");
+const assignKey = Symbol("_assign");
+const vModelText = {
+  created(el, { modifiers: { lazy, trim: trim2, number: number2 } }, vnode) {
+    el[assignKey] = getModelAssigner(vnode);
+    const castToNumber = number2 || vnode.props && vnode.props.type === "number";
+    addEventListener(el, lazy ? "change" : "input", (e) => {
+      if (e.target.composing) return;
+      let domValue = el.value;
+      if (trim2) {
+        domValue = domValue.trim();
+      }
+      if (castToNumber) {
+        domValue = looseToNumber(domValue);
+      }
+      el[assignKey](domValue);
+    });
+    if (trim2) {
+      addEventListener(el, "change", () => {
+        el.value = el.value.trim();
+      });
+    }
+    if (!lazy) {
+      addEventListener(el, "compositionstart", onCompositionStart);
+      addEventListener(el, "compositionend", onCompositionEnd);
+      addEventListener(el, "change", onCompositionEnd);
+    }
+  },
+  // set value on mounted so it's after min/max for type="range"
+  mounted(el, { value: value3 }) {
+    el.value = value3 == null ? "" : value3;
+  },
+  beforeUpdate(el, { value: value3, oldValue, modifiers: { lazy, trim: trim2, number: number2 } }, vnode) {
+    el[assignKey] = getModelAssigner(vnode);
+    if (el.composing) return;
+    const elValue = (number2 || el.type === "number") && !/^0\d/.test(el.value) ? looseToNumber(el.value) : el.value;
+    const newValue = value3 == null ? "" : value3;
+    if (elValue === newValue) {
+      return;
+    }
+    if (document.activeElement === el && el.type !== "range") {
+      if (lazy && value3 === oldValue) {
+        return;
+      }
+      if (trim2 && el.value.trim() === newValue) {
+        return;
+      }
+    }
+    el.value = newValue;
+  }
+};
+const vModelCheckbox = {
+  // #4096 array checkboxes need to be deep traversed
+  deep: true,
+  created(el, _2, vnode) {
+    el[assignKey] = getModelAssigner(vnode);
+    addEventListener(el, "change", () => {
+      const modelValue3 = el._modelValue;
+      const elementValue = getValue$1(el);
+      const checked4 = el.checked;
+      const assign2 = el[assignKey];
+      if (isArray$4(modelValue3)) {
+        const index2 = looseIndexOf(modelValue3, elementValue);
+        const found = index2 !== -1;
+        if (checked4 && !found) {
+          assign2(modelValue3.concat(elementValue));
+        } else if (!checked4 && found) {
+          const filtered = [...modelValue3];
+          filtered.splice(index2, 1);
+          assign2(filtered);
+        }
+      } else if (isSet(modelValue3)) {
+        const cloned = new Set(modelValue3);
+        if (checked4) {
+          cloned.add(elementValue);
+        } else {
+          cloned.delete(elementValue);
+        }
+        assign2(cloned);
+      } else {
+        assign2(getCheckboxValue(el, checked4));
+      }
+    });
+  },
+  // set initial checked on mount to wait for true-value/false-value
+  mounted: setChecked,
+  beforeUpdate(el, binding, vnode) {
+    el[assignKey] = getModelAssigner(vnode);
+    setChecked(el, binding, vnode);
+  }
+};
+function setChecked(el, { value: value3, oldValue }, vnode) {
+  el._modelValue = value3;
+  if (isArray$4(value3)) {
+    el.checked = looseIndexOf(value3, vnode.props.value) > -1;
+  } else if (isSet(value3)) {
+    el.checked = value3.has(vnode.props.value);
+  } else if (value3 !== oldValue) {
+    el.checked = looseEqual(value3, getCheckboxValue(el, true));
+  }
+}
+__name(setChecked, "setChecked");
+const vModelRadio = {
+  created(el, { value: value3 }, vnode) {
+    el.checked = looseEqual(value3, vnode.props.value);
+    el[assignKey] = getModelAssigner(vnode);
+    addEventListener(el, "change", () => {
+      el[assignKey](getValue$1(el));
+    });
+  },
+  beforeUpdate(el, { value: value3, oldValue }, vnode) {
+    el[assignKey] = getModelAssigner(vnode);
+    if (value3 !== oldValue) {
+      el.checked = looseEqual(value3, vnode.props.value);
+    }
+  }
+};
+const vModelSelect = {
+  // <select multiple> value need to be deep traversed
+  deep: true,
+  created(el, { value: value3, modifiers: { number: number2 } }, vnode) {
+    const isSetModel = isSet(value3);
+    addEventListener(el, "change", () => {
+      const selectedVal = Array.prototype.filter.call(el.options, (o) => o.selected).map(
+        (o) => number2 ? looseToNumber(getValue$1(o)) : getValue$1(o)
+      );
+      el[assignKey](
+        el.multiple ? isSetModel ? new Set(selectedVal) : selectedVal : selectedVal[0]
+      );
+      el._assigning = true;
+      nextTick(() => {
+        el._assigning = false;
+      });
+    });
+    el[assignKey] = getModelAssigner(vnode);
+  },
+  // set value in mounted & updated because <select> relies on its children
+  // <option>s.
+  mounted(el, { value: value3, modifiers: { number: number2 } }) {
+    setSelected(el, value3);
+  },
+  beforeUpdate(el, _binding, vnode) {
+    el[assignKey] = getModelAssigner(vnode);
+  },
+  updated(el, { value: value3, modifiers: { number: number2 } }) {
+    if (!el._assigning) {
+      setSelected(el, value3);
+    }
+  }
+};
+function setSelected(el, value3, number2) {
+  const isMultiple = el.multiple;
+  const isArrayValue = isArray$4(value3);
+  if (isMultiple && !isArrayValue && !isSet(value3)) {
+    return;
+  }
+  for (let i2 = 0, l = el.options.length; i2 < l; i2++) {
+    const option4 = el.options[i2];
+    const optionValue = getValue$1(option4);
+    if (isMultiple) {
+      if (isArrayValue) {
+        const optionType = typeof optionValue;
+        if (optionType === "string" || optionType === "number") {
+          option4.selected = value3.some((v2) => String(v2) === String(optionValue));
+        } else {
+          option4.selected = looseIndexOf(value3, optionValue) > -1;
+        }
+      } else {
+        option4.selected = value3.has(optionValue);
+      }
+    } else if (looseEqual(getValue$1(option4), value3)) {
+      if (el.selectedIndex !== i2) el.selectedIndex = i2;
+      return;
+    }
+  }
+  if (!isMultiple && el.selectedIndex !== -1) {
+    el.selectedIndex = -1;
+  }
+}
+__name(setSelected, "setSelected");
+function getValue$1(el) {
+  return "_value" in el ? el._value : el.value;
+}
+__name(getValue$1, "getValue$1");
+function getCheckboxValue(el, checked4) {
+  const key = checked4 ? "_trueValue" : "_falseValue";
+  return key in el ? el[key] : checked4;
+}
+__name(getCheckboxValue, "getCheckboxValue");
+const vModelDynamic = {
+  created(el, binding, vnode) {
+    callModelHook(el, binding, vnode, null, "created");
+  },
+  mounted(el, binding, vnode) {
+    callModelHook(el, binding, vnode, null, "mounted");
+  },
+  beforeUpdate(el, binding, vnode, prevVNode) {
+    callModelHook(el, binding, vnode, prevVNode, "beforeUpdate");
+  },
+  updated(el, binding, vnode, prevVNode) {
+    callModelHook(el, binding, vnode, prevVNode, "updated");
+  }
+};
+function resolveDynamicModel(tagName, type) {
+  switch (tagName) {
+    case "SELECT":
+      return vModelSelect;
+    case "TEXTAREA":
+      return vModelText;
+    default:
+      switch (type) {
+        case "checkbox":
+          return vModelCheckbox;
+        case "radio":
+          return vModelRadio;
+        default:
+          return vModelText;
+      }
+  }
+}
+__name(resolveDynamicModel, "resolveDynamicModel");
+function callModelHook(el, binding, vnode, prevVNode, hook) {
+  const modelToUse = resolveDynamicModel(
+    el.tagName,
+    vnode.props && vnode.props.type
+  );
+  const fn = modelToUse[hook];
+  fn && fn(el, binding, vnode, prevVNode);
+}
+__name(callModelHook, "callModelHook");
+function initVModelForSSR() {
+  vModelText.getSSRProps = ({ value: value3 }) => ({ value: value3 });
+  vModelRadio.getSSRProps = ({ value: value3 }, vnode) => {
+    if (vnode.props && looseEqual(vnode.props.value, value3)) {
+      return { checked: true };
+    }
+  };
+  vModelCheckbox.getSSRProps = ({ value: value3 }, vnode) => {
+    if (isArray$4(value3)) {
+      if (vnode.props && looseIndexOf(value3, vnode.props.value) > -1) {
+        return { checked: true };
+      }
+    } else if (isSet(value3)) {
+      if (vnode.props && value3.has(vnode.props.value)) {
+        return { checked: true };
+      }
+    } else if (value3) {
+      return { checked: true };
+    }
+  };
+  vModelDynamic.getSSRProps = (binding, vnode) => {
+    if (typeof vnode.type !== "string") {
+      return;
+    }
+    const modelToUse = resolveDynamicModel(
+      // resolveDynamicModel expects an uppercase tag name, but vnode.type is lowercase
+      vnode.type.toUpperCase(),
+      vnode.props && vnode.props.type
+    );
+    if (modelToUse.getSSRProps) {
+      return modelToUse.getSSRProps(binding, vnode);
+    }
+  };
+}
+__name(initVModelForSSR, "initVModelForSSR");
+const systemModifiers = ["ctrl", "shift", "alt", "meta"];
+const modifierGuards = {
+  stop: /* @__PURE__ */ __name((e) => e.stopPropagation(), "stop"),
+  prevent: /* @__PURE__ */ __name((e) => e.preventDefault(), "prevent"),
+  self: /* @__PURE__ */ __name((e) => e.target !== e.currentTarget, "self"),
+  ctrl: /* @__PURE__ */ __name((e) => !e.ctrlKey, "ctrl"),
+  shift: /* @__PURE__ */ __name((e) => !e.shiftKey, "shift"),
+  alt: /* @__PURE__ */ __name((e) => !e.altKey, "alt"),
+  meta: /* @__PURE__ */ __name((e) => !e.metaKey, "meta"),
+  left: /* @__PURE__ */ __name((e) => "button" in e && e.button !== 0, "left"),
+  middle: /* @__PURE__ */ __name((e) => "button" in e && e.button !== 1, "middle"),
+  right: /* @__PURE__ */ __name((e) => "button" in e && e.button !== 2, "right"),
+  exact: /* @__PURE__ */ __name((e, modifiers) => systemModifiers.some((m) => e[`${m}Key`] && !modifiers.includes(m)), "exact")
+};
+const withModifiers = /* @__PURE__ */ __name((fn, modifiers) => {
+  const cache2 = fn._withMods || (fn._withMods = {});
+  const cacheKey = modifiers.join(".");
+  return cache2[cacheKey] || (cache2[cacheKey] = (event2, ...args) => {
+    for (let i2 = 0; i2 < modifiers.length; i2++) {
+      const guard = modifierGuards[modifiers[i2]];
+      if (guard && guard(event2, modifiers)) return;
+    }
+    return fn(event2, ...args);
+  });
+}, "withModifiers");
+const keyNames = {
+  esc: "escape",
+  space: " ",
+  up: "arrow-up",
+  left: "arrow-left",
+  right: "arrow-right",
+  down: "arrow-down",
+  delete: "backspace"
+};
+const withKeys = /* @__PURE__ */ __name((fn, modifiers) => {
+  const cache2 = fn._withKeys || (fn._withKeys = {});
+  const cacheKey = modifiers.join(".");
+  return cache2[cacheKey] || (cache2[cacheKey] = (event2) => {
+    if (!("key" in event2)) {
+      return;
+    }
+    const eventKey = hyphenate$1(event2.key);
+    if (modifiers.some((k) => k === eventKey || keyNames[k] === eventKey)) {
+      return fn(event2);
+    }
+  });
+}, "withKeys");
+const rendererOptions = /* @__PURE__ */ extend$1({ patchProp }, nodeOps);
+let renderer;
+let enabledHydration = false;
+function ensureRenderer() {
+  return renderer || (renderer = createRenderer(rendererOptions));
+}
+__name(ensureRenderer, "ensureRenderer");
+function ensureHydrationRenderer() {
+  renderer = enabledHydration ? renderer : createHydrationRenderer(rendererOptions);
+  enabledHydration = true;
+  return renderer;
+}
+__name(ensureHydrationRenderer, "ensureHydrationRenderer");
+const render$V = /* @__PURE__ */ __name((...args) => {
+  ensureRenderer().render(...args);
+}, "render$V");
+const hydrate = /* @__PURE__ */ __name((...args) => {
+  ensureHydrationRenderer().hydrate(...args);
+}, "hydrate");
+const createApp = /* @__PURE__ */ __name((...args) => {
+  const app2 = ensureRenderer().createApp(...args);
+  if (false) {
+    injectNativeTagCheck(app2);
+    injectCompilerOptionsCheck(app2);
+  }
+  const { mount: mount2 } = app2;
+  app2.mount = (containerOrSelector) => {
+    const container = normalizeContainer(containerOrSelector);
+    if (!container) return;
+    const component = app2._component;
+    if (!isFunction$4(component) && !component.render && !component.template) {
+      component.template = container.innerHTML;
+    }
+    container.innerHTML = "";
+    const proxy = mount2(container, false, resolveRootNamespace(container));
+    if (container instanceof Element) {
+      container.removeAttribute("v-cloak");
+      container.setAttribute("data-v-app", "");
+    }
+    return proxy;
+  };
+  return app2;
+}, "createApp");
+const createSSRApp = /* @__PURE__ */ __name((...args) => {
+  const app2 = ensureHydrationRenderer().createApp(...args);
+  if (false) {
+    injectNativeTagCheck(app2);
+    injectCompilerOptionsCheck(app2);
+  }
+  const { mount: mount2 } = app2;
+  app2.mount = (containerOrSelector) => {
+    const container = normalizeContainer(containerOrSelector);
+    if (container) {
+      return mount2(container, true, resolveRootNamespace(container));
+    }
+  };
+  return app2;
+}, "createSSRApp");
+function resolveRootNamespace(container) {
+  if (container instanceof SVGElement) {
+    return "svg";
+  }
+  if (typeof MathMLElement === "function" && container instanceof MathMLElement) {
+    return "mathml";
+  }
+}
+__name(resolveRootNamespace, "resolveRootNamespace");
+function injectNativeTagCheck(app2) {
+  Object.defineProperty(app2.config, "isNativeTag", {
+    value: /* @__PURE__ */ __name((tag) => isHTMLTag(tag) || isSVGTag(tag) || isMathMLTag(tag), "value"),
+    writable: false
+  });
+}
+__name(injectNativeTagCheck, "injectNativeTagCheck");
+function injectCompilerOptionsCheck(app2) {
+  if (isRuntimeOnly()) {
+    const isCustomElement = app2.config.isCustomElement;
+    Object.defineProperty(app2.config, "isCustomElement", {
+      get() {
+        return isCustomElement;
+      },
+      set() {
+        warn$2(
+          `The \`isCustomElement\` config option is deprecated. Use \`compilerOptions.isCustomElement\` instead.`
+        );
+      }
+    });
+    const compilerOptions = app2.config.compilerOptions;
+    const msg = `The \`compilerOptions\` config option is only respected when using a build of Vue.js that includes the runtime compiler (aka "full build"). Since you are using the runtime-only build, \`compilerOptions\` must be passed to \`@vue/compiler-dom\` in the build setup instead.
+- For vue-loader: pass it via vue-loader's \`compilerOptions\` loader option.
+- For vue-cli: see https://cli.vuejs.org/guide/webpack.html#modifying-options-of-a-loader
+- For vite: pass it via @vitejs/plugin-vue options. See https://github.com/vitejs/vite-plugin-vue/tree/main/packages/plugin-vue#example-for-passing-options-to-vuecompiler-sfc`;
+    Object.defineProperty(app2.config, "compilerOptions", {
+      get() {
+        warn$2(msg);
+        return compilerOptions;
+      },
+      set() {
+        warn$2(msg);
+      }
+    });
+  }
+}
+__name(injectCompilerOptionsCheck, "injectCompilerOptionsCheck");
+function normalizeContainer(container) {
+  if (isString$5(container)) {
+    const res = document.querySelector(container);
+    if (false) {
+      warn$2(
+        `Failed to mount app: mount target selector "${container}" returned null.`
+      );
+    }
+    return res;
+  }
+  if (false) {
+    warn$2(
+      `mounting on a ShadowRoot with \`{mode: "closed"}\` may lead to unpredictable bugs`
+    );
+  }
+  return container;
+}
+__name(normalizeContainer, "normalizeContainer");
+let ssrDirectiveInitialized = false;
+const initDirectivesForSSR = /* @__PURE__ */ __name(() => {
+  if (!ssrDirectiveInitialized) {
+    ssrDirectiveInitialized = true;
+    initVModelForSSR();
+    initVShowForSSR();
+  }
+}, "initDirectivesForSSR");
+/**
+* vue v3.4.31
+* (c) 2018-present Yuxi (Evan) You and Vue contributors
+* @license MIT
+**/
+function initDev() {
+  {
+    initCustomFormatter();
+  }
+}
+__name(initDev, "initDev");
+if (false) {
+  initDev();
+}
+const compile$1 = /* @__PURE__ */ __name(() => {
+  if (false) {
+    warn$2(
+      `Runtime compilation is not supported in this build of Vue. Configure your bundler to alias "vue" to "vue/dist/vue.esm-bundler.js".`
+    );
+  }
+}, "compile$1");
+const vue_runtime_esmBundler = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({
+  __proto__: null,
+  BaseTransition,
+  BaseTransitionPropsValidators,
+  Comment,
+  DeprecationTypes,
+  EffectScope,
+  ErrorCodes,
+  ErrorTypeStrings,
+  Fragment,
+  KeepAlive,
+  ReactiveEffect,
+  Static,
+  Suspense,
+  Teleport,
+  Text,
+  TrackOpTypes,
+  Transition,
+  TransitionGroup,
+  TriggerOpTypes,
+  VueElement,
+  assertNumber,
+  callWithAsyncErrorHandling,
+  callWithErrorHandling,
+  camelize: camelize$1,
+  capitalize: capitalize$1,
+  cloneVNode,
+  compatUtils,
+  compile: compile$1,
+  computed,
+  createApp,
+  createBlock,
+  createCommentVNode,
+  createElementBlock,
+  createElementVNode: createBaseVNode,
+  createHydrationRenderer,
+  createPropsRestProxy,
+  createRenderer,
+  createSSRApp,
+  createSlots,
+  createStaticVNode,
+  createTextVNode,
+  createVNode,
+  customRef,
+  defineAsyncComponent,
+  defineComponent,
+  defineCustomElement,
+  defineEmits,
+  defineExpose,
+  defineModel,
+  defineOptions,
+  defineProps,
+  defineSSRCustomElement,
+  defineSlots,
+  devtools: devtools$2,
+  effect,
+  effectScope,
+  getCurrentInstance,
+  getCurrentScope,
+  getTransitionRawChildren,
+  guardReactiveProps,
+  h,
+  handleError,
+  hasInjectionContext,
+  hydrate,
+  initCustomFormatter,
+  initDirectivesForSSR,
+  inject,
+  isMemoSame,
+  isProxy,
+  isReactive,
+  isReadonly,
+  isRef,
+  isRuntimeOnly,
+  isShallow,
+  isVNode: isVNode$1,
+  markRaw,
+  mergeDefaults,
+  mergeModels,
+  mergeProps,
+  nextTick,
+  normalizeClass,
+  normalizeProps,
+  normalizeStyle,
+  onActivated,
+  onBeforeMount,
+  onBeforeUnmount,
+  onBeforeUpdate,
+  onDeactivated,
+  onErrorCaptured,
+  onMounted,
+  onRenderTracked,
+  onRenderTriggered,
+  onScopeDispose,
+  onServerPrefetch,
+  onUnmounted,
+  onUpdated,
+  openBlock,
+  popScopeId,
+  provide,
+  proxyRefs,
+  pushScopeId,
+  queuePostFlushCb,
+  reactive,
+  readonly,
+  ref,
+  registerRuntimeCompiler,
+  render: render$V,
+  renderList,
+  renderSlot,
+  resolveComponent,
+  resolveDirective,
+  resolveDynamicComponent,
+  resolveFilter,
+  resolveTransitionHooks,
+  setBlockTracking,
+  setDevtoolsHook,
+  setTransitionHooks,
+  shallowReactive,
+  shallowReadonly,
+  shallowRef,
+  ssrContextKey,
+  ssrUtils,
+  stop,
+  toDisplayString: toDisplayString$1,
+  toHandlerKey,
+  toHandlers,
+  toRaw,
+  toRef: toRef$1,
+  toRefs: toRefs$1,
+  toValue: toValue$2,
+  transformVNodeArgs,
+  triggerRef,
+  unref,
+  useAttrs,
+  useCssModule,
+  useCssVars,
+  useModel,
+  useSSRContext,
+  useSlots,
+  useTransitionState,
+  vModelCheckbox,
+  vModelDynamic,
+  vModelRadio,
+  vModelSelect,
+  vModelText,
+  vShow,
+  version,
+  warn: warn$2,
+  watch,
+  watchEffect,
+  watchPostEffect,
+  watchSyncEffect,
+  withAsyncContext,
+  withCtx,
+  withDefaults,
+  withDirectives,
+  withKeys,
+  withMemo,
+  withModifiers,
+  withScopeId
+}, Symbol.toStringTag, { value: "Module" }));
+var __defProp$3 = Object.defineProperty;
+var __getOwnPropSymbols$1 = Object.getOwnPropertySymbols;
+var __hasOwnProp$1 = Object.prototype.hasOwnProperty;
+var __propIsEnum$1 = Object.prototype.propertyIsEnumerable;
+var __defNormalProp$2 = /* @__PURE__ */ __name((obj, key, value3) => key in obj ? __defProp$3(obj, key, { enumerable: true, configurable: true, writable: true, value: value3 }) : obj[key] = value3, "__defNormalProp$2");
+var __spreadValues$1 = /* @__PURE__ */ __name((a, b) => {
+  for (var prop2 in b || (b = {}))
+    if (__hasOwnProp$1.call(b, prop2))
+      __defNormalProp$2(a, prop2, b[prop2]);
+  if (__getOwnPropSymbols$1)
+    for (var prop2 of __getOwnPropSymbols$1(b)) {
+      if (__propIsEnum$1.call(b, prop2))
+        __defNormalProp$2(a, prop2, b[prop2]);
+    }
+  return a;
+}, "__spreadValues$1");
+function isEmpty(value3) {
+  return value3 === null || value3 === void 0 || value3 === "" || Array.isArray(value3) && value3.length === 0 || !(value3 instanceof Date) && typeof value3 === "object" && Object.keys(value3).length === 0;
+}
+__name(isEmpty, "isEmpty");
+function compare(value1, value22, comparator2, order = 1) {
+  let result = -1;
+  const emptyValue1 = isEmpty(value1);
+  const emptyValue2 = isEmpty(value22);
+  if (emptyValue1 && emptyValue2) result = 0;
+  else if (emptyValue1) result = order;
+  else if (emptyValue2) result = -order;
+  else if (typeof value1 === "string" && typeof value22 === "string") result = comparator2(value1, value22);
+  else result = value1 < value22 ? -1 : value1 > value22 ? 1 : 0;
+  return result;
+}
+__name(compare, "compare");
+function deepEquals(obj1, obj2) {
+  if (obj1 === obj2) return true;
+  if (obj1 && obj2 && typeof obj1 == "object" && typeof obj2 == "object") {
+    var arrObj1 = Array.isArray(obj1), arrObj2 = Array.isArray(obj2), i2, length, key;
+    if (arrObj1 && arrObj2) {
+      length = obj1.length;
+      if (length != obj2.length) return false;
+      for (i2 = length; i2-- !== 0; ) if (!deepEquals(obj1[i2], obj2[i2])) return false;
+      return true;
+    }
+    if (arrObj1 != arrObj2) return false;
+    var dateObj1 = obj1 instanceof Date, dateObj2 = obj2 instanceof Date;
+    if (dateObj1 != dateObj2) return false;
+    if (dateObj1 && dateObj2) return obj1.getTime() == obj2.getTime();
+    var regexpObj1 = obj1 instanceof RegExp, regexpObj2 = obj2 instanceof RegExp;
+    if (regexpObj1 != regexpObj2) return false;
+    if (regexpObj1 && regexpObj2) return obj1.toString() == obj2.toString();
+    var keys2 = Object.keys(obj1);
+    length = keys2.length;
+    if (length !== Object.keys(obj2).length) return false;
+    for (i2 = length; i2-- !== 0; ) if (!Object.prototype.hasOwnProperty.call(obj2, keys2[i2])) return false;
+    for (i2 = length; i2-- !== 0; ) {
+      key = keys2[i2];
+      if (!deepEquals(obj1[key], obj2[key])) return false;
+    }
+    return true;
+  }
+  return obj1 !== obj1 && obj2 !== obj2;
+}
+__name(deepEquals, "deepEquals");
+function isFunction$3(value3) {
+  return !!(value3 && value3.constructor && value3.call && value3.apply);
+}
+__name(isFunction$3, "isFunction$3");
+function isNotEmpty(value3) {
+  return !isEmpty(value3);
+}
+__name(isNotEmpty, "isNotEmpty");
+function resolveFieldData(data24, field) {
+  if (!data24 || !field) {
+    return null;
+  }
+  try {
+    const value3 = data24[field];
+    if (isNotEmpty(value3)) return value3;
+  } catch (e) {
+  }
+  if (Object.keys(data24).length) {
+    if (isFunction$3(field)) {
+      return field(data24);
+    } else if (field.indexOf(".") === -1) {
+      return data24[field];
+    } else {
+      let fields = field.split(".");
+      let value3 = data24;
+      for (let i2 = 0, len = fields.length; i2 < len; ++i2) {
+        if (value3 == null) {
+          return null;
+        }
+        value3 = value3[fields[i2]];
+      }
+      return value3;
+    }
+  }
+  return null;
+}
+__name(resolveFieldData, "resolveFieldData");
+function equals(obj1, obj2, field) {
+  if (field) return resolveFieldData(obj1, field) === resolveFieldData(obj2, field);
+  else return deepEquals(obj1, obj2);
+}
+__name(equals, "equals");
+function contains(value3, list) {
+  if (value3 != null && list && list.length) {
+    for (let val of list) {
+      if (equals(value3, val)) return true;
+    }
+  }
+  return false;
+}
+__name(contains, "contains");
+function filter(value3, fields, filterValue) {
+  let filteredItems = [];
+  if (value3) {
+    for (let item2 of value3) {
+      for (let field of fields) {
+        if (String(resolveFieldData(item2, field)).toLowerCase().indexOf(filterValue.toLowerCase()) > -1) {
+          filteredItems.push(item2);
+          break;
+        }
+      }
+    }
+  }
+  return filteredItems;
+}
+__name(filter, "filter");
+function findIndexInList(value3, list) {
+  let index2 = -1;
+  if (list) {
+    for (let i2 = 0; i2 < list.length; i2++) {
+      if (list[i2] === value3) {
+        index2 = i2;
+        break;
+      }
+    }
+  }
+  return index2;
+}
+__name(findIndexInList, "findIndexInList");
+function findLast$1(arr, callback) {
+  let item2;
+  if (isNotEmpty(arr)) {
+    try {
+      item2 = arr.findLast(callback);
+    } catch (e) {
+      item2 = [...arr].reverse().find(callback);
+    }
+  }
+  return item2;
+}
+__name(findLast$1, "findLast$1");
+function findLastIndex(arr, callback) {
+  let index2 = -1;
+  if (isNotEmpty(arr)) {
+    try {
+      index2 = arr.findLastIndex(callback);
+    } catch (e) {
+      index2 = arr.lastIndexOf([...arr].reverse().find(callback));
+    }
+  }
+  return index2;
+}
+__name(findLastIndex, "findLastIndex");
+function isObject$5(value3, empty = true) {
+  return value3 instanceof Object && value3.constructor === Object && (empty || Object.keys(value3).length !== 0);
+}
+__name(isObject$5, "isObject$5");
+function resolve(obj, ...params) {
+  return isFunction$3(obj) ? obj(...params) : obj;
+}
+__name(resolve, "resolve");
+function isString$4(value3, empty = true) {
+  return typeof value3 === "string" && (empty || value3 !== "");
+}
+__name(isString$4, "isString$4");
+function toFlatCase(str) {
+  return isString$4(str) ? str.replace(/(-|_)/g, "").toLowerCase() : str;
+}
+__name(toFlatCase, "toFlatCase");
+function getKeyValue(obj, key = "", params = {}) {
+  const fKeys = toFlatCase(key).split(".");
+  const fKey = fKeys.shift();
+  return fKey ? isObject$5(obj) ? getKeyValue(resolve(obj[Object.keys(obj).find((k) => toFlatCase(k) === fKey) || ""], params), fKeys.join("."), params) : void 0 : resolve(obj, params);
+}
+__name(getKeyValue, "getKeyValue");
+function insertIntoOrderedArray(item2, index2, arr, sourceArr) {
+  if (arr.length > 0) {
+    let injected = false;
+    for (let i2 = 0; i2 < arr.length; i2++) {
+      let currentItemIndex = findIndexInList(arr[i2], sourceArr);
+      if (currentItemIndex > index2) {
+        arr.splice(i2, 0, item2);
+        injected = true;
+        break;
+      }
+    }
+    if (!injected) {
+      arr.push(item2);
+    }
+  } else {
+    arr.push(item2);
+  }
+}
+__name(insertIntoOrderedArray, "insertIntoOrderedArray");
+function isArray$3(value3, empty = true) {
+  return Array.isArray(value3) && (empty || value3.length !== 0);
+}
+__name(isArray$3, "isArray$3");
+function isDate$2(value3) {
+  return value3 instanceof Date && value3.constructor === Date;
+}
+__name(isDate$2, "isDate$2");
+function isNumber$3(value3) {
+  return isNotEmpty(value3) && !isNaN(value3);
+}
+__name(isNumber$3, "isNumber$3");
+function isPrintableCharacter(char = "") {
+  return isNotEmpty(char) && char.length === 1 && !!char.match(/\S| /);
+}
+__name(isPrintableCharacter, "isPrintableCharacter");
+function localeComparator() {
+  return new Intl.Collator(void 0, { numeric: true }).compare;
+}
+__name(localeComparator, "localeComparator");
+function matchRegex(str, regex) {
+  if (regex) {
+    const match = regex.test(str);
+    regex.lastIndex = 0;
+    return match;
+  }
+  return false;
+}
+__name(matchRegex, "matchRegex");
+function mergeKeys(...args) {
+  const _mergeKeys = /* @__PURE__ */ __name((target = {}, source = {}) => {
+    const mergedObj = __spreadValues$1({}, target);
+    Object.keys(source).forEach((key) => {
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+        mergedObj[key] = _mergeKeys(target[key], source[key]);
+      } else {
+        mergedObj[key] = source[key];
+      }
+    });
+    return mergedObj;
+  }, "_mergeKeys");
+  return args.reduce((acc, obj, i2) => i2 === 0 ? obj : _mergeKeys(acc, obj), {});
+}
+__name(mergeKeys, "mergeKeys");
+function minifyCSS(css4) {
+  return css4 ? css4.replace(/\/\*(?:(?!\*\/)[\s\S])*\*\/|[\r\n\t]+/g, "").replace(/ {2,}/g, " ").replace(/ ([{:}]) /g, "$1").replace(/([;,]) /g, "$1").replace(/ !/g, "!").replace(/: /g, ":") : css4;
+}
+__name(minifyCSS, "minifyCSS");
+function nestedKeys(obj = {}, parentKey = "") {
+  return Object.entries(obj).reduce((o, [key, value3]) => {
+    const currentKey = parentKey ? `${parentKey}.${key}` : key;
+    isObject$5(value3) ? o = o.concat(nestedKeys(value3, currentKey)) : o.push(currentKey);
+    return o;
+  }, []);
+}
+__name(nestedKeys, "nestedKeys");
+function removeAccents(str) {
+  if (str && str.search(/[\xC0-\xFF]/g) > -1) {
+    str = str.replace(/[\xC0-\xC5]/g, "A").replace(/[\xC6]/g, "AE").replace(/[\xC7]/g, "C").replace(/[\xC8-\xCB]/g, "E").replace(/[\xCC-\xCF]/g, "I").replace(/[\xD0]/g, "D").replace(/[\xD1]/g, "N").replace(/[\xD2-\xD6\xD8]/g, "O").replace(/[\xD9-\xDC]/g, "U").replace(/[\xDD]/g, "Y").replace(/[\xDE]/g, "P").replace(/[\xE0-\xE5]/g, "a").replace(/[\xE6]/g, "ae").replace(/[\xE7]/g, "c").replace(/[\xE8-\xEB]/g, "e").replace(/[\xEC-\xEF]/g, "i").replace(/[\xF1]/g, "n").replace(/[\xF2-\xF6\xF8]/g, "o").replace(/[\xF9-\xFC]/g, "u").replace(/[\xFE]/g, "p").replace(/[\xFD\xFF]/g, "y");
+  }
+  return str;
+}
+__name(removeAccents, "removeAccents");
+function reorderArray(value3, from, to) {
+  if (value3 && from !== to) {
+    if (to >= value3.length) {
+      to %= value3.length;
+      from %= value3.length;
+    }
+    value3.splice(to, 0, value3.splice(from, 1)[0]);
+  }
+}
+__name(reorderArray, "reorderArray");
+function sort(value1, value22, order = 1, comparator2, nullSortOrder = 1) {
+  const result = compare(value1, value22, comparator2, order);
+  let finalSortOrder = order;
+  if (isEmpty(value1) || isEmpty(value22)) {
+    finalSortOrder = nullSortOrder === 1 ? order : nullSortOrder;
+  }
+  return finalSortOrder * result;
+}
+__name(sort, "sort");
+function stringify$1(value3, indent = 2, currentIndent = 0) {
+  const currentIndentStr = " ".repeat(currentIndent);
+  const nextIndentStr = " ".repeat(currentIndent + indent);
+  if (isArray$3(value3)) {
+    return "[" + value3.map((v2) => stringify$1(v2, indent, currentIndent + indent)).join(", ") + "]";
+  } else if (isDate$2(value3)) {
+    return value3.toISOString();
+  } else if (isFunction$3(value3)) {
+    return value3.toString();
+  } else if (isObject$5(value3)) {
+    return "{\n" + Object.entries(value3).map(([k, v2]) => `${nextIndentStr}${k}: ${stringify$1(v2, indent, currentIndent + indent)}`).join(",\n") + `
+${currentIndentStr}}`;
+  } else {
+    return JSON.stringify(value3);
+  }
+}
+__name(stringify$1, "stringify$1");
+function toCapitalCase(str) {
+  return isString$4(str, false) ? str[0].toUpperCase() + str.slice(1) : str;
+}
+__name(toCapitalCase, "toCapitalCase");
+function toKebabCase(str) {
+  return isString$4(str) ? str.replace(/(_)/g, "-").replace(/[A-Z]/g, (c, i2) => i2 === 0 ? c : "-" + c.toLowerCase()).toLowerCase() : str;
+}
+__name(toKebabCase, "toKebabCase");
+function toTokenKey$1(str) {
+  return isString$4(str) ? str.replace(/[A-Z]/g, (c, i2) => i2 === 0 ? c : "." + c.toLowerCase()).toLowerCase() : str;
+}
+__name(toTokenKey$1, "toTokenKey$1");
+function EventBus() {
+  const allHandlers = /* @__PURE__ */ new Map();
+  return {
+    on(type, handler6) {
+      let handlers2 = allHandlers.get(type);
+      if (!handlers2) handlers2 = [handler6];
+      else handlers2.push(handler6);
+      allHandlers.set(type, handlers2);
+      return this;
+    },
+    off(type, handler6) {
+      let handlers2 = allHandlers.get(type);
+      if (handlers2) {
+        handlers2.splice(handlers2.indexOf(handler6) >>> 0, 1);
+      }
+      return this;
+    },
+    emit(type, evt) {
+      let handlers2 = allHandlers.get(type);
+      if (handlers2) {
+        handlers2.slice().map((handler6) => {
+          handler6(evt);
+        });
+      }
+    },
+    clear() {
+      allHandlers.clear();
+    }
+  };
+}
+__name(EventBus, "EventBus");
+var __defProp$2 = Object.defineProperty;
+var __defProps = Object.defineProperties;
+var __getOwnPropDescs = Object.getOwnPropertyDescriptors;
+var __getOwnPropSymbols = Object.getOwnPropertySymbols;
+var __hasOwnProp = Object.prototype.hasOwnProperty;
+var __propIsEnum = Object.prototype.propertyIsEnumerable;
+var __defNormalProp$1 = /* @__PURE__ */ __name((obj, key, value3) => key in obj ? __defProp$2(obj, key, { enumerable: true, configurable: true, writable: true, value: value3 }) : obj[key] = value3, "__defNormalProp$1");
+var __spreadValues = /* @__PURE__ */ __name((a, b) => {
+  for (var prop2 in b || (b = {}))
+    if (__hasOwnProp.call(b, prop2))
+      __defNormalProp$1(a, prop2, b[prop2]);
+  if (__getOwnPropSymbols)
+    for (var prop2 of __getOwnPropSymbols(b)) {
+      if (__propIsEnum.call(b, prop2))
+        __defNormalProp$1(a, prop2, b[prop2]);
+    }
+  return a;
+}, "__spreadValues");
+var __spreadProps = /* @__PURE__ */ __name((a, b) => __defProps(a, __getOwnPropDescs(b)), "__spreadProps");
+var __objRest = /* @__PURE__ */ __name((source, exclude) => {
+  var target = {};
+  for (var prop2 in source)
+    if (__hasOwnProp.call(source, prop2) && exclude.indexOf(prop2) < 0)
+      target[prop2] = source[prop2];
+  if (source != null && __getOwnPropSymbols)
+    for (var prop2 of __getOwnPropSymbols(source)) {
+      if (exclude.indexOf(prop2) < 0 && __propIsEnum.call(source, prop2))
+        target[prop2] = source[prop2];
+    }
+  return target;
+}, "__objRest");
+function definePreset$1(...presets) {
+  return mergeKeys(...presets);
+}
+__name(definePreset$1, "definePreset$1");
+var ThemeService$1 = EventBus();
+var service_default = ThemeService$1;
+function toTokenKey(str) {
+  return isString$4(str) ? str.replace(/[A-Z]/g, (c, i2) => i2 === 0 ? c : "." + c.toLowerCase()).toLowerCase() : str;
+}
+__name(toTokenKey, "toTokenKey");
+function merge$1(value1, value22) {
+  if (isArray$3(value1)) {
+    value1.push(...value22 || []);
+  } else if (isObject$5(value1)) {
+    Object.assign(value1, value22);
+  }
+}
+__name(merge$1, "merge$1");
+function toValue$1(value3) {
+  return isObject$5(value3) && value3.hasOwnProperty("value") && value3.hasOwnProperty("type") ? value3.value : value3;
+}
+__name(toValue$1, "toValue$1");
+function toUnit(value3, variable = "") {
+  const excludedProperties = ["opacity", "z-index", "line-height", "font-weight", "flex", "flex-grow", "flex-shrink", "order"];
+  if (!excludedProperties.some((property) => variable.endsWith(property))) {
+    const val = `${value3}`.trim();
+    const valArr = val.split(" ");
+    return valArr.map((v2) => isNumber$3(v2) ? `${v2}px` : v2).join(" ");
+  }
+  return value3;
+}
+__name(toUnit, "toUnit");
+function toNormalizePrefix(prefix2) {
+  return prefix2.replaceAll(/ /g, "").replace(/[^\w]/g, "-");
+}
+__name(toNormalizePrefix, "toNormalizePrefix");
+function toNormalizeVariable(prefix2 = "", variable = "") {
+  return toNormalizePrefix(`${isString$4(prefix2, false) && isString$4(variable, false) ? `${prefix2}-` : prefix2}${variable}`);
+}
+__name(toNormalizeVariable, "toNormalizeVariable");
+function getVariableName(prefix2 = "", variable = "") {
+  return `--${toNormalizeVariable(prefix2, variable)}`;
+}
+__name(getVariableName, "getVariableName");
+function getVariableValue(value3, variable = "", prefix2 = "", excludedKeyRegexes = [], fallback) {
+  if (isString$4(value3)) {
+    const regex = /{([^}]*)}/g;
+    const val = value3.trim();
+    if (matchRegex(val, regex)) {
+      const _val = val.replaceAll(regex, (v2) => {
+        const path = v2.replace(/{|}/g, "");
+        const keys2 = path.split(".").filter((_v) => !excludedKeyRegexes.some((_r) => matchRegex(_v, _r)));
+        return `var(${getVariableName(prefix2, toKebabCase(keys2.join("-")))}${isNotEmpty(fallback) ? `, ${fallback}` : ""})`;
+      });
+      const calculationRegex = /(\d+\s+[\+\-\*\/]\s+\d+)/g;
+      const cleanedVarRegex = /var\([^)]+\)/g;
+      return matchRegex(_val.replace(cleanedVarRegex, "0"), calculationRegex) ? `calc(${_val})` : _val;
+    }
+    return toUnit(val, variable);
+  } else if (isNumber$3(value3)) {
+    return toUnit(value3, variable);
+  }
+  return void 0;
+}
+__name(getVariableValue, "getVariableValue");
+function getComputedValue(obj = {}, value3) {
+  if (isString$4(value3)) {
+    const regex = /{([^}]*)}/g;
+    const val = value3.trim();
+    return matchRegex(val, regex) ? val.replaceAll(regex, (v2) => getKeyValue(obj, v2.replace(/{|}/g, ""))) : val;
+  } else if (isNumber$3(value3)) {
+    return value3;
+  }
+  return void 0;
+}
+__name(getComputedValue, "getComputedValue");
+function setProperty(properties, key, value3) {
+  if (isString$4(key, false)) {
+    properties.push(`${key}:${value3};`);
+  }
+}
+__name(setProperty, "setProperty");
+function getRule(selector, properties) {
+  if (selector) {
+    return `${selector}{${properties}}`;
+  }
+  return "";
+}
+__name(getRule, "getRule");
+function normalizeColor$1(color) {
+  if (color.length === 4) {
+    return `#${color[1]}${color[1]}${color[2]}${color[2]}${color[3]}${color[3]}`;
+  }
+  return color;
+}
+__name(normalizeColor$1, "normalizeColor$1");
+function hexToRgb$2(hex) {
+  var bigint = parseInt(hex.substring(1), 16);
+  var r = bigint >> 16 & 255;
+  var g = bigint >> 8 & 255;
+  var b = bigint & 255;
+  return { r, g, b };
+}
+__name(hexToRgb$2, "hexToRgb$2");
+function rgbToHex$2(r, g, b) {
+  return `#${r.toString(16).padStart(2, "0")}${g.toString(16).padStart(2, "0")}${b.toString(16).padStart(2, "0")}`;
+}
+__name(rgbToHex$2, "rgbToHex$2");
+var mix_default = /* @__PURE__ */ __name((color1, color2, weight) => {
+  color1 = normalizeColor$1(color1);
+  color2 = normalizeColor$1(color2);
+  var p2 = weight / 100;
+  var w2 = p2 * 2 - 1;
+  var w1 = (w2 + 1) / 2;
+  var w22 = 1 - w1;
+  var rgb1 = hexToRgb$2(color1);
+  var rgb2 = hexToRgb$2(color2);
+  var r = Math.round(rgb1.r * w1 + rgb2.r * w22);
+  var g = Math.round(rgb1.g * w1 + rgb2.g * w22);
+  var b = Math.round(rgb1.b * w1 + rgb2.b * w22);
+  return rgbToHex$2(r, g, b);
+}, "mix_default");
+var shade_default = /* @__PURE__ */ __name((color, percent) => mix_default("#000000", color, percent), "shade_default");
+var tint_default = /* @__PURE__ */ __name((color, percent) => mix_default("#ffffff", color, percent), "tint_default");
+var scales$1 = [50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 950];
+var palette_default = /* @__PURE__ */ __name((color) => {
+  if (/{([^}]*)}/g.test(color)) {
+    const token = color.replace(/{|}/g, "");
+    return scales$1.reduce((acc, scale) => (acc[scale] = `{${token}.${scale}}`, acc), {});
+  }
+  return typeof color === "string" ? scales$1.reduce((acc, scale, i2) => (acc[scale] = i2 <= 5 ? tint_default(color, (5 - i2) * 19) : shade_default(color, (i2 - 5) * 15), acc), {}) : color;
+}, "palette_default");
+var $dt$1 = /* @__PURE__ */ __name((tokenPath) => {
+  var _a;
+  const theme38 = config_default.getTheme();
+  const variable = dtwt$1(theme38, tokenPath, void 0, "variable");
+  const name = (_a = variable.match(/--[\w-]+/g)) == null ? void 0 : _a[0];
+  const value3 = dtwt$1(theme38, tokenPath, void 0, "value");
+  return {
+    name,
+    variable,
+    value: value3
+  };
+}, "$dt$1");
+var dt$1 = /* @__PURE__ */ __name((...args) => {
+  return dtwt$1(config_default.getTheme(), ...args);
+}, "dt$1");
+var dtwt$1 = /* @__PURE__ */ __name((theme38 = {}, tokenPath, fallback, type = "variable") => {
+  if (tokenPath) {
+    const { variable: VARIABLE, options: OPTIONS } = config_default.defaults || {};
+    const { prefix: prefix2, transform: transform2 } = (theme38 == null ? void 0 : theme38.options) || OPTIONS || {};
+    const regex = /{([^}]*)}/g;
+    const token = matchRegex(tokenPath, regex) ? tokenPath : `{${tokenPath}}`;
+    const isStrictTransform = type === "value" || transform2 === "strict";
+    return isStrictTransform ? config_default.getTokenValue(tokenPath) : getVariableValue(token, void 0, prefix2, [VARIABLE.excludedKeyRegex], fallback);
+  }
+  return "";
+}, "dtwt$1");
+function css$3(style) {
+  return resolve(style, { dt: dt$1 });
+}
+__name(css$3, "css$3");
+var $t$1 = /* @__PURE__ */ __name((theme38 = {}) => {
+  let { preset: _preset, options: _options } = theme38;
+  return {
+    preset(value3) {
+      _preset = _preset ? mergeKeys(_preset, value3) : value3;
+      return this;
+    },
+    options(value3) {
+      _options = _options ? __spreadValues(__spreadValues({}, _options), value3) : value3;
+      return this;
+    },
+    // features
+    primaryPalette(primary) {
+      const { semantic } = _preset || {};
+      _preset = __spreadProps(__spreadValues({}, _preset), { semantic: __spreadProps(__spreadValues({}, semantic), { primary }) });
+      return this;
+    },
+    surfacePalette(surface) {
+      var _a, _b;
+      const { semantic } = _preset || {};
+      const lightSurface = (surface == null ? void 0 : surface.hasOwnProperty("light")) ? surface == null ? void 0 : surface.light : surface;
+      const darkSurface = (surface == null ? void 0 : surface.hasOwnProperty("dark")) ? surface == null ? void 0 : surface.dark : surface;
+      const newColorScheme = {
+        colorScheme: {
+          light: __spreadValues(__spreadValues({}, (_a = semantic == null ? void 0 : semantic.colorScheme) == null ? void 0 : _a.light), !!lightSurface && { surface: lightSurface }),
+          dark: __spreadValues(__spreadValues({}, (_b = semantic == null ? void 0 : semantic.colorScheme) == null ? void 0 : _b.dark), !!darkSurface && { surface: darkSurface })
+        }
+      };
+      _preset = __spreadProps(__spreadValues({}, _preset), { semantic: __spreadValues(__spreadValues({}, semantic), newColorScheme) });
+      return this;
+    },
+    // actions
+    define({ useDefaultPreset = false, useDefaultOptions = false } = {}) {
+      return {
+        preset: useDefaultPreset ? config_default.getPreset() : _preset,
+        options: useDefaultOptions ? config_default.getOptions() : _options
+      };
+    },
+    update({ mergePresets = true, mergeOptions: mergeOptions2 = true } = {}) {
+      const newTheme = {
+        preset: mergePresets ? mergeKeys(config_default.getPreset(), _preset) : _preset,
+        options: mergeOptions2 ? __spreadValues(__spreadValues({}, config_default.getOptions()), _options) : _options
+      };
+      config_default.setTheme(newTheme);
+      return newTheme;
+    },
+    use(options3) {
+      const newTheme = this.define(options3);
+      config_default.setTheme(newTheme);
+      return newTheme;
+    }
+  };
+}, "$t$1");
+function toVariables_default(theme38, options3 = {}) {
+  const VARIABLE = config_default.defaults.variable;
+  const { prefix: prefix2 = VARIABLE.prefix, selector = VARIABLE.selector, excludedKeyRegex = VARIABLE.excludedKeyRegex } = options3;
+  const _toVariables2 = /* @__PURE__ */ __name((_theme, _prefix = "") => {
+    return Object.entries(_theme).reduce(
+      (acc, [key, value3]) => {
+        const px = matchRegex(key, excludedKeyRegex) ? toNormalizeVariable(_prefix) : toNormalizeVariable(_prefix, toKebabCase(key));
+        const v2 = toValue$1(value3);
+        if (isObject$5(v2)) {
+          const { variables: variables2, tokens: tokens2 } = _toVariables2(v2, px);
+          merge$1(acc["tokens"], tokens2);
+          merge$1(acc["variables"], variables2);
+        } else {
+          acc["tokens"].push((prefix2 ? px.replace(`${prefix2}-`, "") : px).replaceAll("-", "."));
+          setProperty(acc["variables"], getVariableName(px), getVariableValue(v2, px, prefix2, [excludedKeyRegex]));
+        }
+        return acc;
+      },
+      { variables: [], tokens: [] }
+    );
+  }, "_toVariables");
+  const { variables, tokens } = _toVariables2(theme38, prefix2);
+  return {
+    value: variables,
+    tokens,
+    declarations: variables.join(""),
+    css: getRule(selector, variables.join(""))
+  };
+}
+__name(toVariables_default, "toVariables_default");
+var themeUtils_default = {
+  regex: {
+    rules: {
+      class: {
+        pattern: /^\.([a-zA-Z][\w-]*)$/,
+        resolve(value3) {
+          return { type: "class", selector: value3, matched: this.pattern.test(value3.trim()) };
+        }
+      },
+      attr: {
+        pattern: /^\[(.*)\]$/,
+        resolve(value3) {
+          return { type: "attr", selector: `:root${value3}`, matched: this.pattern.test(value3.trim()) };
+        }
+      },
+      media: {
+        pattern: /^@media (.*)$/,
+        resolve(value3) {
+          return { type: "media", selector: `${value3}{:root{[CSS]}}`, matched: this.pattern.test(value3.trim()) };
+        }
+      },
+      system: {
+        pattern: /^system$/,
+        resolve(value3) {
+          return { type: "system", selector: "@media (prefers-color-scheme: dark){:root{[CSS]}}", matched: this.pattern.test(value3.trim()) };
+        }
+      },
+      custom: {
+        resolve(value3) {
+          return { type: "custom", selector: value3, matched: true };
+        }
+      }
+    },
+    resolve(value3) {
+      const rules = Object.keys(this.rules).filter((k) => k !== "custom").map((r) => this.rules[r]);
+      return [value3].flat().map((v2) => {
+        var _a;
+        return (_a = rules.map((r) => r.resolve(v2)).find((rr) => rr.matched)) != null ? _a : this.rules.custom.resolve(v2);
+      });
+    }
+  },
+  _toVariables(theme38, options3) {
+    return toVariables_default(theme38, { prefix: options3 == null ? void 0 : options3.prefix });
+  },
+  getCommon({ name = "", theme: theme38 = {}, params, set: set2, defaults: defaults2 }) {
+    var _c, _d, _e, _f;
+    const { preset, options: options3 } = theme38;
+    let primitive_css, primitive_tokens, semantic_css, semantic_tokens;
+    if (isNotEmpty(preset)) {
+      const { primitive, semantic } = preset;
+      const _a = semantic || {}, { colorScheme } = _a, sRest = __objRest(_a, ["colorScheme"]);
+      const _b = colorScheme || {}, { dark } = _b, csRest = __objRest(_b, ["dark"]);
+      const prim_var = isNotEmpty(primitive) ? this._toVariables({ primitive }, options3) : {};
+      const sRest_var = isNotEmpty(sRest) ? this._toVariables({ semantic: sRest }, options3) : {};
+      const csRest_var = isNotEmpty(csRest) ? this._toVariables({ light: csRest }, options3) : {};
+      const dark_var = isNotEmpty(dark) ? this._toVariables({ dark }, options3) : {};
+      const [prim_css, prim_tokens] = [(_c = prim_var.declarations) != null ? _c : "", prim_var.tokens];
+      const [sRest_css, sRest_tokens] = [(_d = sRest_var.declarations) != null ? _d : "", sRest_var.tokens || []];
+      const [csRest_css, csRest_tokens] = [(_e = csRest_var.declarations) != null ? _e : "", csRest_var.tokens || []];
+      const [dark_css, dark_tokens] = [(_f = dark_var.declarations) != null ? _f : "", dark_var.tokens || []];
+      primitive_css = this.transformCSS(name, prim_css, "light", "variable", options3, set2, defaults2);
+      primitive_tokens = prim_tokens;
+      const semantic_light_css = this.transformCSS(name, `${sRest_css}${csRest_css}color-scheme:light`, "light", "variable", options3, set2, defaults2);
+      const semantic_dark_css = this.transformCSS(name, `${dark_css}color-scheme:dark`, "dark", "variable", options3, set2, defaults2);
+      semantic_css = `${semantic_light_css}${semantic_dark_css}`;
+      semantic_tokens = [.../* @__PURE__ */ new Set([...sRest_tokens, ...csRest_tokens, ...dark_tokens])];
+    }
+    return {
+      primitive: {
+        css: primitive_css,
+        tokens: primitive_tokens
+      },
+      semantic: {
+        css: semantic_css,
+        tokens: semantic_tokens
+      }
+    };
+  },
+  getPreset({ name = "", preset = {}, options: options3, params, set: set2, defaults: defaults2, selector }) {
+    var _c, _d, _e;
+    const _name = name.replace("-directive", "");
+    const _a = preset, { colorScheme } = _a, vRest = __objRest(_a, ["colorScheme"]);
+    const _b = colorScheme || {}, { dark } = _b, csRest = __objRest(_b, ["dark"]);
+    const vRest_var = isNotEmpty(vRest) ? this._toVariables({ [_name]: vRest }, options3) : {};
+    const csRest_var = isNotEmpty(csRest) ? this._toVariables({ [_name]: csRest }, options3) : {};
+    const dark_var = isNotEmpty(dark) ? this._toVariables({ [_name]: dark }, options3) : {};
+    const [vRest_css, vRest_tokens] = [(_c = vRest_var.declarations) != null ? _c : "", vRest_var.tokens || []];
+    const [csRest_css, csRest_tokens] = [(_d = csRest_var.declarations) != null ? _d : "", csRest_var.tokens || []];
+    const [dark_css, dark_tokens] = [(_e = dark_var.declarations) != null ? _e : "", dark_var.tokens || []];
+    const tokens = [.../* @__PURE__ */ new Set([...vRest_tokens, ...csRest_tokens, ...dark_tokens])];
+    const light_variable_css = this.transformCSS(_name, `${vRest_css}${csRest_css}`, "light", "variable", options3, set2, defaults2, selector);
+    const dark_variable_css = this.transformCSS(_name, dark_css, "dark", "variable", options3, set2, defaults2, selector);
+    return {
+      css: `${light_variable_css}${dark_variable_css}`,
+      tokens
+    };
+  },
+  getPresetC({ name = "", theme: theme38 = {}, params, set: set2, defaults: defaults2 }) {
+    var _a;
+    const { preset, options: options3 } = theme38;
+    const cPreset = (_a = preset == null ? void 0 : preset.components) == null ? void 0 : _a[name];
+    return this.getPreset({ name, preset: cPreset, options: options3, params, set: set2, defaults: defaults2 });
+  },
+  getPresetD({ name = "", theme: theme38 = {}, params, set: set2, defaults: defaults2 }) {
+    var _a;
+    const dName = name.replace("-directive", "");
+    const { preset, options: options3 } = theme38;
+    const dPreset = (_a = preset == null ? void 0 : preset.directives) == null ? void 0 : _a[dName];
+    return this.getPreset({ name: dName, preset: dPreset, options: options3, params, set: set2, defaults: defaults2 });
+  },
+  getColorSchemeOption(options3, defaults2) {
+    var _a;
+    return this.regex.resolve((_a = options3.darkModeSelector) != null ? _a : defaults2.options.darkModeSelector);
+  },
+  getLayerOrder(name, options3 = {}, params, defaults2) {
+    const { cssLayer } = options3;
+    if (cssLayer) {
+      const order = resolve(cssLayer.order || "primeui", params);
+      return `@layer ${order}`;
+    }
+    return "";
+  },
+  getCommonStyleSheet({ name = "", theme: theme38 = {}, params, props = {}, set: set2, defaults: defaults2 }) {
+    const common = this.getCommon({ name, theme: theme38, params, set: set2, defaults: defaults2 });
+    const _props = Object.entries(props).reduce((acc, [k, v2]) => acc.push(`${k}="${v2}"`) && acc, []).join(" ");
+    return Object.entries(common || {}).reduce((acc, [key, value3]) => {
+      if (value3 == null ? void 0 : value3.css) {
+        const _css = minifyCSS(value3 == null ? void 0 : value3.css);
+        const id2 = `${key}-variables`;
+        acc.push(`<style type="text/css" data-primevue-style-id="${id2}" ${_props}>${_css}</style>`);
+      }
+      return acc;
+    }, []).join("");
+  },
+  getStyleSheet({ name = "", theme: theme38 = {}, params, props = {}, set: set2, defaults: defaults2 }) {
+    var _a;
+    const options3 = { name, theme: theme38, params, set: set2, defaults: defaults2 };
+    const preset_css = (_a = name.includes("-directive") ? this.getPresetD(options3) : this.getPresetC(options3)) == null ? void 0 : _a.css;
+    const _props = Object.entries(props).reduce((acc, [k, v2]) => acc.push(`${k}="${v2}"`) && acc, []).join(" ");
+    return preset_css ? `<style type="text/css" data-primevue-style-id="${name}-variables" ${_props}>${minifyCSS(preset_css)}</style>` : "";
+  },
+  createTokens(obj = {}, defaults2, parentKey = "", parentPath = "", tokens = {}) {
+    Object.entries(obj).forEach(([key, value3]) => {
+      const currentKey = matchRegex(key, defaults2.variable.excludedKeyRegex) ? parentKey : parentKey ? `${parentKey}.${toTokenKey$1(key)}` : toTokenKey$1(key);
+      const currentPath = parentPath ? `${parentPath}.${key}` : key;
+      if (isObject$5(value3)) {
+        this.createTokens(value3, defaults2, currentKey, currentPath, tokens);
+      } else {
+        tokens[currentKey] || (tokens[currentKey] = {
+          paths: [],
+          computed(colorScheme, tokenPathMap = {}) {
+            if (colorScheme) {
+              const path = this.paths.find((p2) => p2.scheme === colorScheme) || this.paths.find((p2) => p2.scheme === "none");
+              return path == null ? void 0 : path.computed(colorScheme, tokenPathMap["binding"]);
+            }
+            return this.paths.map((p2) => p2.computed(p2.scheme, tokenPathMap[p2.scheme]));
+          }
+        });
+        tokens[currentKey].paths.push({
+          path: currentPath,
+          value: value3,
+          scheme: currentPath.includes("colorScheme.light") ? "light" : currentPath.includes("colorScheme.dark") ? "dark" : "none",
+          computed(colorScheme, tokenPathMap = {}) {
+            const regex = /{([^}]*)}/g;
+            let computedValue = value3;
+            tokenPathMap["name"] = this.path;
+            tokenPathMap["binding"] || (tokenPathMap["binding"] = {});
+            if (matchRegex(value3, regex)) {
+              const val = value3.trim();
+              const _val = val.replaceAll(regex, (v2) => {
+                var _a, _b;
+                const path = v2.replace(/{|}/g, "");
+                return (_b = (_a = tokens[path]) == null ? void 0 : _a.computed(colorScheme, tokenPathMap)) == null ? void 0 : _b.value;
+              });
+              const calculationRegex = /(\d+\w*\s+[\+\-\*\/]\s+\d+\w*)/g;
+              const cleanedVarRegex = /var\([^)]+\)/g;
+              computedValue = matchRegex(_val.replace(cleanedVarRegex, "0"), calculationRegex) ? `calc(${_val})` : _val;
+            }
+            isEmpty(tokenPathMap["binding"]) && delete tokenPathMap["binding"];
+            return {
+              colorScheme,
+              path: this.path,
+              paths: tokenPathMap,
+              value: computedValue.includes("undefined") ? void 0 : computedValue
+            };
+          }
+        });
+      }
+    });
+    return tokens;
+  },
+  getTokenValue(tokens, path, defaults2) {
+    var _a;
+    const normalizePath = /* @__PURE__ */ __name((str) => {
+      const strArr = str.split(".");
+      return strArr.filter((s) => !matchRegex(s.toLowerCase(), defaults2.variable.excludedKeyRegex)).join(".");
+    }, "normalizePath");
+    const token = normalizePath(path);
+    const colorScheme = path.includes("colorScheme.light") ? "light" : path.includes("colorScheme.dark") ? "dark" : void 0;
+    const computedValues = [(_a = tokens[token]) == null ? void 0 : _a.computed(colorScheme)].flat().filter((computed2) => computed2);
+    return computedValues.length === 1 ? computedValues[0].value : computedValues.reduce((acc = {}, computed2) => {
+      const _a2 = computed2, { colorScheme: cs } = _a2, rest = __objRest(_a2, ["colorScheme"]);
+      acc[cs] = rest;
+      return acc;
+    }, void 0);
+  },
+  transformCSS(name, css22, mode2, type, options3 = {}, set2, defaults2, selector) {
+    if (isNotEmpty(css22)) {
+      const { cssLayer } = options3;
+      if (type !== "style") {
+        const colorSchemeOption = this.getColorSchemeOption(options3, defaults2);
+        const _css = selector ? getRule(selector, css22) : css22;
+        css22 = mode2 === "dark" ? colorSchemeOption.reduce((acc, { selector: _selector }) => {
+          if (isNotEmpty(_selector)) {
+            acc += _selector.includes("[CSS]") ? _selector.replace("[CSS]", _css) : getRule(_selector, _css);
+          }
+          return acc;
+        }, "") : getRule(selector != null ? selector : ":root", css22);
+      }
+      if (cssLayer) {
+        const layerOptions = {
+          name: "primeui",
+          order: "primeui"
+        };
+        isObject$5(cssLayer) && (layerOptions.name = resolve(cssLayer.name, { name, type }));
+        if (isNotEmpty(layerOptions.name)) {
+          css22 = getRule(`@layer ${layerOptions.name}`, css22);
+          set2 == null ? void 0 : set2.layerNames(layerOptions.name);
+        }
+      }
+      return css22;
+    }
+    return "";
+  }
+};
+var config_default = {
+  defaults: {
+    variable: {
+      prefix: "p",
+      selector: ":root",
+      excludedKeyRegex: /^(primitive|semantic|components|directives|variables|colorscheme|light|dark|common|root|states)$/gi
+    },
+    options: {
+      prefix: "p",
+      darkModeSelector: "system",
+      cssLayer: false
+    }
+  },
+  _theme: void 0,
+  _layerNames: /* @__PURE__ */ new Set(),
+  _loadedStyleNames: /* @__PURE__ */ new Set(),
+  _loadingStyles: /* @__PURE__ */ new Set(),
+  _tokens: {},
+  update(newValues = {}) {
+    const { theme: theme38 } = newValues;
+    if (theme38) {
+      this._theme = __spreadProps(__spreadValues({}, theme38), {
+        options: __spreadValues(__spreadValues({}, this.defaults.options), theme38.options)
+      });
+      this._tokens = themeUtils_default.createTokens(this.preset, this.defaults);
+      this.clearLoadedStyleNames();
+    }
+  },
+  get theme() {
+    return this._theme;
+  },
+  get preset() {
+    var _a;
+    return ((_a = this.theme) == null ? void 0 : _a.preset) || {};
+  },
+  get options() {
+    var _a;
+    return ((_a = this.theme) == null ? void 0 : _a.options) || {};
+  },
+  get tokens() {
+    return this._tokens;
+  },
+  getTheme() {
+    return this.theme;
+  },
+  setTheme(newValue) {
+    this.update({ theme: newValue });
+    service_default.emit("theme:change", newValue);
+  },
+  getPreset() {
+    return this.preset;
+  },
+  setPreset(newValue) {
+    this._theme = __spreadProps(__spreadValues({}, this.theme), { preset: newValue });
+    this._tokens = themeUtils_default.createTokens(newValue, this.defaults);
+    this.clearLoadedStyleNames();
+    service_default.emit("preset:change", newValue);
+    service_default.emit("theme:change", this.theme);
+  },
+  getOptions() {
+    return this.options;
+  },
+  setOptions(newValue) {
+    this._theme = __spreadProps(__spreadValues({}, this.theme), { options: newValue });
+    this.clearLoadedStyleNames();
+    service_default.emit("options:change", newValue);
+    service_default.emit("theme:change", this.theme);
+  },
+  getLayerNames() {
+    return [...this._layerNames];
+  },
+  setLayerNames(layerName) {
+    this._layerNames.add(layerName);
+  },
+  getLoadedStyleNames() {
+    return this._loadedStyleNames;
+  },
+  isStyleNameLoaded(name) {
+    return this._loadedStyleNames.has(name);
+  },
+  setLoadedStyleName(name) {
+    this._loadedStyleNames.add(name);
+  },
+  deleteLoadedStyleName(name) {
+    this._loadedStyleNames.delete(name);
+  },
+  clearLoadedStyleNames() {
+    this._loadedStyleNames.clear();
+  },
+  getTokenValue(tokenPath) {
+    return themeUtils_default.getTokenValue(this.tokens, tokenPath, this.defaults);
+  },
+  getCommon(name = "", params) {
+    return themeUtils_default.getCommon({ name, theme: this.theme, params, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } });
+  },
+  getComponent(name = "", params) {
+    const options3 = { name, theme: this.theme, params, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } };
+    return themeUtils_default.getPresetC(options3);
+  },
+  getDirective(name = "", params) {
+    const options3 = { name, theme: this.theme, params, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } };
+    return themeUtils_default.getPresetD(options3);
+  },
+  getCustomPreset(name = "", preset, selector, params) {
+    const options3 = { name, preset, options: this.options, selector, params, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } };
+    return themeUtils_default.getPreset(options3);
+  },
+  getLayerOrderCSS(name = "") {
+    return themeUtils_default.getLayerOrder(name, this.options, { names: this.getLayerNames() }, this.defaults);
+  },
+  transformCSS(name = "", css22, type = "style", mode2) {
+    return themeUtils_default.transformCSS(name, css22, mode2, type, this.options, { layerNames: this.setLayerNames.bind(this) }, this.defaults);
+  },
+  getCommonStyleSheet(name = "", params, props = {}) {
+    return themeUtils_default.getCommonStyleSheet({ name, theme: this.theme, params, props, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } });
+  },
+  getStyleSheet(name, params, props = {}) {
+    return themeUtils_default.getStyleSheet({ name, theme: this.theme, params, props, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } });
+  },
+  onStyleMounted(name) {
+    this._loadingStyles.add(name);
+  },
+  onStyleUpdated(name) {
+    this._loadingStyles.add(name);
+  },
+  onStyleLoaded(event2, { name }) {
+    if (this._loadingStyles.size) {
+      this._loadingStyles.delete(name);
+      service_default.emit(`theme:${name}:load`, event2);
+      !this._loadingStyles.size && service_default.emit("theme:load");
+    }
+  }
+};
+function updatePreset$1(...presets) {
+  const newPreset = mergeKeys(config_default.getPreset(), ...presets);
+  config_default.setPreset(newPreset);
+  return newPreset;
+}
+__name(updatePreset$1, "updatePreset$1");
+function updatePrimaryPalette$1(primary) {
+  return $t$1().primaryPalette(primary).update().preset;
+}
+__name(updatePrimaryPalette$1, "updatePrimaryPalette$1");
+function updateSurfacePalette$1(palette2) {
+  return $t$1().surfacePalette(palette2).update().preset;
+}
+__name(updateSurfacePalette$1, "updateSurfacePalette$1");
+function usePreset$1(...presets) {
+  const newPreset = mergeKeys(...presets);
+  config_default.setPreset(newPreset);
+  return newPreset;
+}
+__name(usePreset$1, "usePreset$1");
+function useTheme$1(theme38) {
+  return $t$1(theme38).update({ mergePresets: false });
+}
+__name(useTheme$1, "useTheme$1");
+var FilterMatchMode = {
+  STARTS_WITH: "startsWith",
+  CONTAINS: "contains",
+  NOT_CONTAINS: "notContains",
+  ENDS_WITH: "endsWith",
+  EQUALS: "equals",
+  NOT_EQUALS: "notEquals",
+  IN: "in",
+  LESS_THAN: "lt",
+  LESS_THAN_OR_EQUAL_TO: "lte",
+  GREATER_THAN: "gt",
+  GREATER_THAN_OR_EQUAL_TO: "gte",
+  BETWEEN: "between",
+  DATE_IS: "dateIs",
+  DATE_IS_NOT: "dateIsNot",
+  DATE_BEFORE: "dateBefore",
+  DATE_AFTER: "dateAfter"
+};
+var FilterOperator = {
+  AND: "and",
+  OR: "or"
+};
+function _createForOfIteratorHelper$5(r, e) {
+  var t = "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (!t) {
+    if (Array.isArray(r) || (t = _unsupportedIterableToArray$m(r)) || e) {
+      t && (r = t);
+      var _n = 0, F = /* @__PURE__ */ __name(function F2() {
+      }, "F");
+      return { s: F, n: /* @__PURE__ */ __name(function n() {
+        return _n >= r.length ? { done: true } : { done: false, value: r[_n++] };
+      }, "n"), e: /* @__PURE__ */ __name(function e2(r2) {
+        throw r2;
+      }, "e"), f: F };
+    }
+    throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+  }
+  var o, a = true, u = false;
+  return { s: /* @__PURE__ */ __name(function s() {
+    t = t.call(r);
+  }, "s"), n: /* @__PURE__ */ __name(function n() {
+    var r2 = t.next();
+    return a = r2.done, r2;
+  }, "n"), e: /* @__PURE__ */ __name(function e2(r2) {
+    u = true, o = r2;
+  }, "e"), f: /* @__PURE__ */ __name(function f() {
+    try {
+      a || null == t["return"] || t["return"]();
+    } finally {
+      if (u) throw o;
+    }
+  }, "f") };
+}
+__name(_createForOfIteratorHelper$5, "_createForOfIteratorHelper$5");
+function _unsupportedIterableToArray$m(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$m(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$m(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$m, "_unsupportedIterableToArray$m");
+function _arrayLikeToArray$m(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$m, "_arrayLikeToArray$m");
+var FilterService = {
+  filter: /* @__PURE__ */ __name(function filter2(value3, fields, filterValue, filterMatchMode, filterLocale) {
+    var filteredItems = [];
+    if (!value3) {
+      return filteredItems;
+    }
+    var _iterator = _createForOfIteratorHelper$5(value3), _step;
+    try {
+      for (_iterator.s(); !(_step = _iterator.n()).done; ) {
+        var item2 = _step.value;
+        if (typeof item2 === "string") {
+          if (this.filters[filterMatchMode](item2, filterValue, filterLocale)) {
+            filteredItems.push(item2);
+            continue;
+          }
+        } else {
+          var _iterator2 = _createForOfIteratorHelper$5(fields), _step2;
+          try {
+            for (_iterator2.s(); !(_step2 = _iterator2.n()).done; ) {
+              var field = _step2.value;
+              var fieldValue = resolveFieldData(item2, field);
+              if (this.filters[filterMatchMode](fieldValue, filterValue, filterLocale)) {
+                filteredItems.push(item2);
+                break;
+              }
+            }
+          } catch (err) {
+            _iterator2.e(err);
+          } finally {
+            _iterator2.f();
+          }
+        }
+      }
+    } catch (err) {
+      _iterator.e(err);
+    } finally {
+      _iterator.f();
+    }
+    return filteredItems;
+  }, "filter"),
+  filters: {
+    startsWith: /* @__PURE__ */ __name(function startsWith(value3, filter4, filterLocale) {
+      if (filter4 === void 0 || filter4 === null || filter4 === "") {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      var filterValue = removeAccents(filter4.toString()).toLocaleLowerCase(filterLocale);
+      var stringValue = removeAccents(value3.toString()).toLocaleLowerCase(filterLocale);
+      return stringValue.slice(0, filterValue.length) === filterValue;
+    }, "startsWith"),
+    contains: /* @__PURE__ */ __name(function contains2(value3, filter4, filterLocale) {
+      if (filter4 === void 0 || filter4 === null || filter4 === "") {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      var filterValue = removeAccents(filter4.toString()).toLocaleLowerCase(filterLocale);
+      var stringValue = removeAccents(value3.toString()).toLocaleLowerCase(filterLocale);
+      return stringValue.indexOf(filterValue) !== -1;
+    }, "contains"),
+    notContains: /* @__PURE__ */ __name(function notContains(value3, filter4, filterLocale) {
+      if (filter4 === void 0 || filter4 === null || filter4 === "") {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      var filterValue = removeAccents(filter4.toString()).toLocaleLowerCase(filterLocale);
+      var stringValue = removeAccents(value3.toString()).toLocaleLowerCase(filterLocale);
+      return stringValue.indexOf(filterValue) === -1;
+    }, "notContains"),
+    endsWith: /* @__PURE__ */ __name(function endsWith2(value3, filter4, filterLocale) {
+      if (filter4 === void 0 || filter4 === null || filter4 === "") {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      var filterValue = removeAccents(filter4.toString()).toLocaleLowerCase(filterLocale);
+      var stringValue = removeAccents(value3.toString()).toLocaleLowerCase(filterLocale);
+      return stringValue.indexOf(filterValue, stringValue.length - filterValue.length) !== -1;
+    }, "endsWith"),
+    equals: /* @__PURE__ */ __name(function equals2(value3, filter4, filterLocale) {
+      if (filter4 === void 0 || filter4 === null || filter4 === "") {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      if (value3.getTime && filter4.getTime) return value3.getTime() === filter4.getTime();
+      else return removeAccents(value3.toString()).toLocaleLowerCase(filterLocale) == removeAccents(filter4.toString()).toLocaleLowerCase(filterLocale);
+    }, "equals"),
+    notEquals: /* @__PURE__ */ __name(function notEquals(value3, filter4, filterLocale) {
+      if (filter4 === void 0 || filter4 === null || filter4 === "") {
+        return false;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return true;
+      }
+      if (value3.getTime && filter4.getTime) return value3.getTime() !== filter4.getTime();
+      else return removeAccents(value3.toString()).toLocaleLowerCase(filterLocale) != removeAccents(filter4.toString()).toLocaleLowerCase(filterLocale);
+    }, "notEquals"),
+    "in": /* @__PURE__ */ __name(function _in(value3, filter4) {
+      if (filter4 === void 0 || filter4 === null || filter4.length === 0) {
+        return true;
+      }
+      for (var i2 = 0; i2 < filter4.length; i2++) {
+        if (equals(value3, filter4[i2])) {
+          return true;
+        }
+      }
+      return false;
+    }, "_in"),
+    between: /* @__PURE__ */ __name(function between(value3, filter4) {
+      if (filter4 == null || filter4[0] == null || filter4[1] == null) {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      if (value3.getTime) return filter4[0].getTime() <= value3.getTime() && value3.getTime() <= filter4[1].getTime();
+      else return filter4[0] <= value3 && value3 <= filter4[1];
+    }, "between"),
+    lt: /* @__PURE__ */ __name(function lt(value3, filter4) {
+      if (filter4 === void 0 || filter4 === null) {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      if (value3.getTime && filter4.getTime) return value3.getTime() < filter4.getTime();
+      else return value3 < filter4;
+    }, "lt"),
+    lte: /* @__PURE__ */ __name(function lte(value3, filter4) {
+      if (filter4 === void 0 || filter4 === null) {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      if (value3.getTime && filter4.getTime) return value3.getTime() <= filter4.getTime();
+      else return value3 <= filter4;
+    }, "lte"),
+    gt: /* @__PURE__ */ __name(function gt(value3, filter4) {
+      if (filter4 === void 0 || filter4 === null) {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      if (value3.getTime && filter4.getTime) return value3.getTime() > filter4.getTime();
+      else return value3 > filter4;
+    }, "gt"),
+    gte: /* @__PURE__ */ __name(function gte(value3, filter4) {
+      if (filter4 === void 0 || filter4 === null) {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      if (value3.getTime && filter4.getTime) return value3.getTime() >= filter4.getTime();
+      else return value3 >= filter4;
+    }, "gte"),
+    dateIs: /* @__PURE__ */ __name(function dateIs(value3, filter4) {
+      if (filter4 === void 0 || filter4 === null) {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      return value3.toDateString() === filter4.toDateString();
+    }, "dateIs"),
+    dateIsNot: /* @__PURE__ */ __name(function dateIsNot(value3, filter4) {
+      if (filter4 === void 0 || filter4 === null) {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      return value3.toDateString() !== filter4.toDateString();
+    }, "dateIsNot"),
+    dateBefore: /* @__PURE__ */ __name(function dateBefore(value3, filter4) {
+      if (filter4 === void 0 || filter4 === null) {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      return value3.getTime() < filter4.getTime();
+    }, "dateBefore"),
+    dateAfter: /* @__PURE__ */ __name(function dateAfter(value3, filter4) {
+      if (filter4 === void 0 || filter4 === null) {
+        return true;
+      }
+      if (value3 === void 0 || value3 === null) {
+        return false;
+      }
+      return value3.getTime() > filter4.getTime();
+    }, "dateAfter")
+  },
+  register: /* @__PURE__ */ __name(function register2(rule, fn) {
+    this.filters[rule] = fn;
+  }, "register")
+};
+var PrimeIcons = {
+  ALIGN_CENTER: "pi pi-align-center",
+  ALIGN_JUSTIFY: "pi pi-align-justify",
+  ALIGN_LEFT: "pi pi-align-left",
+  ALIGN_RIGHT: "pi pi-align-right",
+  AMAZON: "pi pi-amazon",
+  ANDROID: "pi pi-android",
+  ANGLE_DOUBLE_DOWN: "pi pi-angle-double-down",
+  ANGLE_DOUBLE_LEFT: "pi pi-angle-double-left",
+  ANGLE_DOUBLE_RIGHT: "pi pi-angle-double-right",
+  ANGLE_DOUBLE_UP: "pi pi-angle-double-up",
+  ANGLE_DOWN: "pi pi-angle-down",
+  ANGLE_LEFT: "pi pi-angle-left",
+  ANGLE_RIGHT: "pi pi-angle-right",
+  ANGLE_UP: "pi pi-angle-up",
+  APPLE: "pi pi-apple",
+  ARROW_CIRCLE_DOWN: "pi pi-arrow-circle-down",
+  ARROW_CIRCLE_LEFT: "pi pi-arrow-circle-left",
+  ARROW_CIRCLE_RIGHT: "pi pi-arrow-circle-right",
+  ARROW_CIRCLE_UP: "pi pi-arrow-circle-up",
+  ARROW_DOWN: "pi pi-arrow-down",
+  ARROW_DOWN_LEFT: "pi pi-arrow-down-left",
+  ARROW_DOWN_RIGHT: "pi pi-arrow-down-right",
+  ARROW_LEFT: "pi pi-arrow-left",
+  ARROW_RIGHT: "pi pi-arrow-right",
+  ARROW_RIGHT_ARROW_LEFT: "pi pi-arrow-right-arrow-left",
+  ARROW_UP: "pi pi-arrow-up",
+  ARROW_UP_LEFT: "pi pi-arrow-up-left",
+  ARROW_UP_RIGHT: "pi pi-arrow-up-right",
+  ARROW_H: "pi pi-arrows-h",
+  ARROW_V: "pi pi-arrows-v",
+  ARROW_A: "pi pi-arrows-alt",
+  AT: "pi pi-at",
+  BACKWARD: "pi pi-backward",
+  BAN: "pi pi-ban",
+  BARS: "pi pi-bars",
+  BELL: "pi pi-bell",
+  BITCOIN: "pi pi-bitcoin",
+  BOLT: "pi pi-bolt",
+  BOOK: "pi pi-book",
+  BOOKMARK: "pi pi-bookmark",
+  BOOKMARK_FILL: "pi pi-bookmark-fill",
+  BOX: "pi pi-box",
+  BRIEFCASE: "pi pi-briefcase",
+  BUILDING: "pi pi-building",
+  CALENDAR: "pi pi-calendar",
+  CALENDAR_MINUS: "pi pi-calendar-minus",
+  CALENDAR_PLUS: "pi pi-calendar-plus",
+  CALENDAR_TIMES: "pi pi-calendar-times",
+  CALCULATOR: "pi pi-calculator",
+  CAMERA: "pi pi-camera",
+  CAR: "pi pi-car",
+  CARET_DOWN: "pi pi-caret-down",
+  CARET_LEFT: "pi pi-caret-left",
+  CARET_RIGHT: "pi pi-caret-right",
+  CARET_UP: "pi pi-caret-up",
+  CART_PLUS: "pi pi-cart-plus",
+  CHART_BAR: "pi pi-chart-bar",
+  CHART_LINE: "pi pi-chart-line",
+  CHART_PIE: "pi pi-chart-pie",
+  CHECK: "pi pi-check",
+  CHECK_CIRCLE: "pi pi-check-circle",
+  CHECK_SQUARE: "pi pi-check-square",
+  CHEVRON_CIRCLE_DOWN: "pi pi-chevron-circle-down",
+  CHEVRON_CIRCLE_LEFT: "pi pi-chevron-circle-left",
+  CHEVRON_CIRCLE_RIGHT: "pi pi-chevron-circle-right",
+  CHEVRON_CIRCLE_UP: "pi pi-chevron-circle-up",
+  CHEVRON_DOWN: "pi pi-chevron-down",
+  CHEVRON_LEFT: "pi pi-chevron-left",
+  CHEVRON_RIGHT: "pi pi-chevron-right",
+  CHEVRON_UP: "pi pi-chevron-up",
+  CIRCLE: "pi pi-circle",
+  CIRCLE_FILL: "pi pi-circle-fill",
+  CLOCK: "pi pi-clock",
+  CLONE: "pi pi-clone",
+  CLOUD: "pi pi-cloud",
+  CLOUD_DOWNLOAD: "pi pi-cloud-download",
+  CLOUD_UPLOAD: "pi pi-cloud-upload",
+  CODE: "pi pi-code",
+  COG: "pi pi-cog",
+  COMMENT: "pi pi-comment",
+  COMMENTS: "pi pi-comments",
+  COMPASS: "pi pi-compass",
+  COPY: "pi pi-copy",
+  CREDIT_CARD: "pi pi-credit-card",
+  DATABASE: "pi pi-database",
+  DELETELEFT: "pi pi-delete-left",
+  DESKTOP: "pi pi-desktop",
+  DIRECTIONS: "pi pi-directions",
+  DIRECTIONS_ALT: "pi pi-directions-alt",
+  DISCORD: "pi pi-discord",
+  DOLLAR: "pi pi-dollar",
+  DOWNLOAD: "pi pi-download",
+  EJECT: "pi pi-eject",
+  ELLIPSIS_H: "pi pi-ellipsis-h",
+  ELLIPSIS_V: "pi pi-ellipsis-v",
+  ENVELOPE: "pi pi-envelope",
+  ERASER: "pi pi-eraser",
+  EURO: "pi pi-euro",
+  EXCLAMATION_CIRCLE: "pi pi-exclamation-circle",
+  EXCLAMATION_TRIANGLE: "pi pi-exclamation-triangle",
+  EXTERNAL_LINK: "pi pi-external-link",
+  EYE: "pi pi-eye",
+  EYE_SLASH: "pi pi-eye-slash",
+  FACEBOOK: "pi pi-facebook",
+  FAST_BACKWARD: "pi pi-fast-backward",
+  FAST_FORWARD: "pi pi-fast-forward",
+  FILE: "pi pi-file",
+  FILE_EDIT: "pi pi-file-edit",
+  FILE_EXCEL: "pi pi-file-excel",
+  FILE_EXPORT: "pi pi-file-export",
+  FILE_IMPORT: "pi pi-file-import",
+  FILE_PDF: "pi pi-file-pdf",
+  FILE_WORD: "pi pi-file-word",
+  FILTER: "pi pi-filter",
+  FILTER_FILL: "pi pi-filter-fill",
+  FILTER_SLASH: "pi pi-filter-slash",
+  FLAG: "pi pi-flag",
+  FLAG_FILL: "pi pi-flag-fill",
+  FOLDER: "pi pi-folder",
+  FOLDER_OPEN: "pi pi-folder-open",
+  FORWARD: "pi pi-forward",
+  GIFT: "pi pi-gift",
+  GITHUB: "pi pi-github",
+  GLOBE: "pi pi-globe",
+  GOOGLE: "pi pi-google",
+  HASHTAG: "pi pi-hashtag",
+  HEART: "pi pi-heart",
+  HEART_FILL: "pi pi-heart-fill",
+  HISTORY: "pi pi-history",
+  HOURGLASS: "pi pi-hourglass",
+  HOME: "pi pi-home",
+  ID_CARD: "pi pi-id-card",
+  IMAGE: "pi pi-image",
+  IMAGES: "pi pi-images",
+  INBOX: "pi pi-inbox",
+  INFO: "pi pi-info",
+  INFO_CIRCLE: "pi pi-info-circle",
+  INSTAGRAM: "pi pi-instagram",
+  KEY: "pi pi-key",
+  LANGUAGE: "pi pi-language",
+  LINK: "pi pi-link",
+  LINKEDIN: "pi pi-linkedin",
+  LIST: "pi pi-list",
+  LOCK: "pi pi-lock",
+  LOCK_OPEN: "pi pi-lock-open",
+  MAP: "pi pi-map",
+  MAP_MARKER: "pi pi-map-marker",
+  MEGAPHONE: "pi pi-megaphone",
+  MICREPHONE: "pi pi-microphone",
+  MICROSOFT: "pi pi-microsoft",
+  MINUS: "pi pi-minus",
+  MINUS_CIRCLE: "pi pi-minus-circle",
+  MOBILE: "pi pi-mobile",
+  MONEY_BILL: "pi pi-money-bill",
+  MOON: "pi pi-moon",
+  PALETTE: "pi pi-palette",
+  PAPERCLIP: "pi pi-paperclip",
+  PAUSE: "pi pi-pause",
+  PAYPAL: "pi pi-paypal",
+  PENCIL: "pi pi-pencil",
+  PERCENTAGE: "pi pi-percentage",
+  PHONE: "pi pi-phone",
+  PLAY: "pi pi-play",
+  PLUS: "pi pi-plus",
+  PLUS_CIRCLE: "pi pi-plus-circle",
+  POUND: "pi pi-pound",
+  POWER_OFF: "pi pi-power-off",
+  PRIME: "pi pi-prime",
+  PRINT: "pi pi-print",
+  QRCODE: "pi pi-qrcode",
+  QUESTION: "pi pi-question",
+  QUESTION_CIRCLE: "pi pi-question-circle",
+  REDDIT: "pi pi-reddit",
+  REFRESH: "pi pi-refresh",
+  REPLAY: "pi pi-replay",
+  REPLY: "pi pi-reply",
+  SAVE: "pi pi-save",
+  SEARCH: "pi pi-search",
+  SEARCH_MINUS: "pi pi-search-minus",
+  SEARCH_PLUS: "pi pi-search-plus",
+  SEND: "pi pi-send",
+  SERVER: "pi pi-server",
+  SHARE_ALT: "pi pi-share-alt",
+  SHIELD: "pi pi-shield",
+  SHOPPING_BAG: "pi pi-shopping-bag",
+  SHOPPING_CART: "pi pi-shopping-cart",
+  SIGN_IN: "pi pi-sign-in",
+  SIGN_OUT: "pi pi-sign-out",
+  SITEMAP: "pi pi-sitemap",
+  SLACK: "pi pi-slack",
+  SLIDERS_H: "pi pi-sliders-h",
+  SLIDERS_V: "pi pi-sliders-v",
+  SORT: "pi pi-sort",
+  SORT_ALPHA_DOWN: "pi pi-sort-alpha-down",
+  SORT_ALPHA_ALT_DOWN: "pi pi-sort-alpha-down-alt",
+  SORT_ALPHA_UP: "pi pi-sort-alpha-up",
+  SORT_ALPHA_ALT_UP: "pi pi-sort-alpha-up-alt",
+  SORT_ALT: "pi pi-sort-alt",
+  SORT_ALT_SLASH: "pi pi-sort-alt-slash",
+  SORT_AMOUNT_DOWN: "pi pi-sort-amount-down",
+  SORT_AMOUNT_DOWN_ALT: "pi pi-sort-amount-down-alt",
+  SORT_AMOUNT_UP: "pi pi-sort-amount-up",
+  SORT_AMOUNT_UP_ALT: "pi pi-sort-amount-up-alt",
+  SORT_DOWN: "pi pi-sort-down",
+  SORT_NUMERIC_DOWN: "pi pi-sort-numeric-down",
+  SORT_NUMERIC_ALT_DOWN: "pi pi-sort-numeric-down-alt",
+  SORT_NUMERIC_UP: "pi pi-sort-numeric-up",
+  SORT_NUMERIC_ALT_UP: "pi pi-sort-numeric-up-alt",
+  SORT_UP: "pi pi-sort-up",
+  SPINNER: "pi pi-spinner",
+  STAR: "pi pi-star",
+  STAR_FILL: "pi pi-star-fill",
+  STEP_BACKWARD: "pi pi-step-backward",
+  STEP_BACKWARD_ALT: "pi pi-step-backward-alt",
+  STEP_FORWARD: "pi pi-step-forward",
+  STEP_FORWARD_ALT: "pi pi-step-forward-alt",
+  STOP: "pi pi-stop",
+  STOPWATCH: "pi pi-stopwatch",
+  STOP_CIRCLE: "pi pi-stop-circle",
+  SUN: "pi pi-sun",
+  SYNC: "pi pi-sync",
+  TABLE: "pi pi-table",
+  TABLET: "pi pi-tablet",
+  TAG: "pi pi-tag",
+  TAGS: "pi pi-tags",
+  TELEGRAM: "pi pi-telegram",
+  TH_LARGE: "pi pi-th-large",
+  THUMBS_DOWN: "pi pi-thumbs-down",
+  THUMBS_DOWN_FILL: "pi pi-thumbs-down-fill",
+  THUMBS_UP: "pi pi-thumbs-up",
+  THUMBS_UP_FILL: "pi pi-thumbs-up-fill",
+  TICKET: "pi pi-ticket",
+  TIMES: "pi pi-times",
+  TIMES_CIRCLE: "pi pi-times-circle",
+  TRASH: "pi pi-trash",
+  TRUCK: "pi pi-truck",
+  TWITTER: "pi pi-twitter",
+  UNDO: "pi pi-undo",
+  UNLOCK: "pi pi-unlock",
+  UPLOAD: "pi pi-upload",
+  USER: "pi pi-user",
+  USER_EDIT: "pi pi-user-edit",
+  USER_MINUS: "pi pi-user-minus",
+  USER_PLUS: "pi pi-user-plus",
+  USERS: "pi pi-users",
+  VERIFIED: "pi pi-verified",
+  VIDEO: "pi pi-video",
+  VIMEO: "pi pi-vimeo",
+  VOLUME_DOWN: "pi pi-volume-down",
+  VOLUME_OFF: "pi pi-volume-off",
+  VOLUME_UP: "pi pi-volume-up",
+  WALLET: "pi pi-wallet",
+  WHATSAPP: "pi pi-whatsapp",
+  WIFI: "pi pi-wifi",
+  WINDOW_MAXIMIZE: "pi pi-window-maximize",
+  WINDOW_MINIMIZE: "pi pi-window-minimize",
+  WRENCH: "pi pi-wrench",
+  YOUTUBE: "pi pi-youtube"
+};
+var ToastSeverities = {
+  INFO: "info",
+  WARN: "warn",
+  ERROR: "error",
+  SUCCESS: "success"
+};
+function hasClass(element, className) {
+  if (element) {
+    if (element.classList) return element.classList.contains(className);
+    else return new RegExp("(^| )" + className + "( |$)", "gi").test(element.className);
+  }
+  return false;
+}
+__name(hasClass, "hasClass");
+function addClass(element, className) {
+  if (element && className) {
+    const fn = /* @__PURE__ */ __name((_className) => {
+      if (!hasClass(element, _className)) {
+        if (element.classList) element.classList.add(_className);
+        else element.className += " " + _className;
+      }
+    }, "fn");
+    [className].flat().filter(Boolean).forEach((_classNames) => _classNames.split(" ").forEach(fn));
+  }
+}
+__name(addClass, "addClass");
+function calculateBodyScrollbarWidth() {
+  return window.innerWidth - document.documentElement.offsetWidth;
+}
+__name(calculateBodyScrollbarWidth, "calculateBodyScrollbarWidth");
+function getCSSVariableByRegex(variableRegex) {
+  for (const sheet of document == null ? void 0 : document.styleSheets) {
+    try {
+      for (const rule of sheet == null ? void 0 : sheet.cssRules) {
+        for (const property of rule == null ? void 0 : rule.style) {
+          if (variableRegex.test(property)) {
+            return { name: property, value: rule.style.getPropertyValue(property).trim() };
+          }
+        }
+      }
+    } catch (e) {
+    }
+  }
+  return null;
+}
+__name(getCSSVariableByRegex, "getCSSVariableByRegex");
+function blockBodyScroll(className = "p-overflow-hidden") {
+  const variableData = getCSSVariableByRegex(/-scrollbar-width$/);
+  (variableData == null ? void 0 : variableData.name) && document.body.style.setProperty(variableData.name, calculateBodyScrollbarWidth() + "px");
+  addClass(document.body, className);
+}
+__name(blockBodyScroll, "blockBodyScroll");
+function saveAs$1(file) {
+  if (file) {
+    let link = document.createElement("a");
+    if (link.download !== void 0) {
+      const { name, src } = file;
+      link.setAttribute("href", src);
+      link.setAttribute("download", name);
+      link.style.display = "none";
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      return true;
+    }
+  }
+  return false;
+}
+__name(saveAs$1, "saveAs$1");
+function exportCSV(csv, filename) {
+  let blob = new Blob([csv], {
+    type: "application/csv;charset=utf-8;"
+  });
+  if (window.navigator.msSaveOrOpenBlob) {
+    navigator.msSaveOrOpenBlob(blob, filename + ".csv");
+  } else {
+    const isDownloaded = saveAs$1({ name: filename + ".csv", src: URL.createObjectURL(blob) });
+    if (!isDownloaded) {
+      csv = "data:text/csv;charset=utf-8," + csv;
+      window.open(encodeURI(csv));
+    }
+  }
+}
+__name(exportCSV, "exportCSV");
+function removeClass(element, className) {
+  if (element && className) {
+    const fn = /* @__PURE__ */ __name((_className) => {
+      if (element.classList) element.classList.remove(_className);
+      else element.className = element.className.replace(new RegExp("(^|\\b)" + _className.split(" ").join("|") + "(\\b|$)", "gi"), " ");
+    }, "fn");
+    [className].flat().filter(Boolean).forEach((_classNames) => _classNames.split(" ").forEach(fn));
+  }
+}
+__name(removeClass, "removeClass");
+function unblockBodyScroll(className = "p-overflow-hidden") {
+  const variableData = getCSSVariableByRegex(/-scrollbar-width$/);
+  (variableData == null ? void 0 : variableData.name) && document.body.style.removeProperty(variableData.name);
+  removeClass(document.body, className);
+}
+__name(unblockBodyScroll, "unblockBodyScroll");
+function getHiddenElementDimensions(element) {
+  let dimensions = { width: 0, height: 0 };
+  if (element) {
+    element.style.visibility = "hidden";
+    element.style.display = "block";
+    dimensions.width = element.offsetWidth;
+    dimensions.height = element.offsetHeight;
+    element.style.display = "none";
+    element.style.visibility = "visible";
+  }
+  return dimensions;
+}
+__name(getHiddenElementDimensions, "getHiddenElementDimensions");
+function getViewport() {
+  let win = window, d = document, e = d.documentElement, g = d.getElementsByTagName("body")[0], w2 = win.innerWidth || e.clientWidth || g.clientWidth, h2 = win.innerHeight || e.clientHeight || g.clientHeight;
+  return { width: w2, height: h2 };
+}
+__name(getViewport, "getViewport");
+function getWindowScrollLeft() {
+  let doc2 = document.documentElement;
+  return (window.pageXOffset || doc2.scrollLeft) - (doc2.clientLeft || 0);
+}
+__name(getWindowScrollLeft, "getWindowScrollLeft");
+function getWindowScrollTop() {
+  let doc2 = document.documentElement;
+  return (window.pageYOffset || doc2.scrollTop) - (doc2.clientTop || 0);
+}
+__name(getWindowScrollTop, "getWindowScrollTop");
+function absolutePosition(element, target, gutter = true) {
+  var _a, _b, _c, _d;
+  if (element) {
+    const elementDimensions = element.offsetParent ? { width: element.offsetWidth, height: element.offsetHeight } : getHiddenElementDimensions(element);
+    const elementOuterHeight = elementDimensions.height;
+    const elementOuterWidth = elementDimensions.width;
+    const targetOuterHeight = target.offsetHeight;
+    const targetOuterWidth = target.offsetWidth;
+    const targetOffset = target.getBoundingClientRect();
+    const windowScrollTop = getWindowScrollTop();
+    const windowScrollLeft = getWindowScrollLeft();
+    const viewport = getViewport();
+    let top, left, origin2 = "top";
+    if (targetOffset.top + targetOuterHeight + elementOuterHeight > viewport.height) {
+      top = targetOffset.top + windowScrollTop - elementOuterHeight;
+      origin2 = "bottom";
+      if (top < 0) {
+        top = windowScrollTop;
+      }
+    } else {
+      top = targetOuterHeight + targetOffset.top + windowScrollTop;
+    }
+    if (targetOffset.left + elementOuterWidth > viewport.width) left = Math.max(0, targetOffset.left + windowScrollLeft + targetOuterWidth - elementOuterWidth);
+    else left = targetOffset.left + windowScrollLeft;
+    element.style.top = top + "px";
+    element.style.left = left + "px";
+    element.style.transformOrigin = origin2;
+    gutter && (element.style.marginTop = origin2 === "bottom" ? `calc(${(_b = (_a = getCSSVariableByRegex(/-anchor-gutter$/)) == null ? void 0 : _a.value) != null ? _b : "2px"} * -1)` : (_d = (_c = getCSSVariableByRegex(/-anchor-gutter$/)) == null ? void 0 : _c.value) != null ? _d : "");
+  }
+}
+__name(absolutePosition, "absolutePosition");
+function addStyle(element, style) {
+  if (element) {
+    if (typeof style === "string") {
+      element.style.cssText = style;
+    } else {
+      Object.entries(style || {}).forEach(([key, value3]) => element.style[key] = value3);
+    }
+  }
+}
+__name(addStyle, "addStyle");
+function getOuterWidth(element, margin) {
+  if (element instanceof HTMLElement) {
+    let width2 = element.offsetWidth;
+    if (margin) {
+      let style = getComputedStyle(element);
+      width2 += parseFloat(style.marginLeft) + parseFloat(style.marginRight);
+    }
+    return width2;
+  }
+  return 0;
+}
+__name(getOuterWidth, "getOuterWidth");
+function relativePosition(element, target, gutter = true) {
+  var _a, _b, _c, _d;
+  if (element) {
+    const elementDimensions = element.offsetParent ? { width: element.offsetWidth, height: element.offsetHeight } : getHiddenElementDimensions(element);
+    const targetHeight = target.offsetHeight;
+    const targetOffset = target.getBoundingClientRect();
+    const viewport = getViewport();
+    let top, left, origin2 = "top";
+    if (targetOffset.top + targetHeight + elementDimensions.height > viewport.height) {
+      top = -1 * elementDimensions.height;
+      origin2 = "bottom";
+      if (targetOffset.top + top < 0) {
+        top = -1 * targetOffset.top;
+      }
+    } else {
+      top = targetHeight;
+    }
+    if (elementDimensions.width > viewport.width) {
+      left = targetOffset.left * -1;
+    } else if (targetOffset.left + elementDimensions.width > viewport.width) {
+      left = (targetOffset.left + elementDimensions.width - viewport.width) * -1;
+    } else {
+      left = 0;
+    }
+    element.style.top = top + "px";
+    element.style.left = left + "px";
+    element.style.transformOrigin = origin2;
+    gutter && (element.style.marginTop = origin2 === "bottom" ? `calc(${(_b = (_a = getCSSVariableByRegex(/-anchor-gutter$/)) == null ? void 0 : _a.value) != null ? _b : "2px"} * -1)` : (_d = (_c = getCSSVariableByRegex(/-anchor-gutter$/)) == null ? void 0 : _c.value) != null ? _d : "");
+  }
+}
+__name(relativePosition, "relativePosition");
+function alignOverlay(overlay, target, appendTo, calculateMinWidth = true) {
+  if (overlay && target) {
+    if (appendTo === "self") {
+      relativePosition(overlay, target);
+    } else {
+      calculateMinWidth && (overlay.style.minWidth = getOuterWidth(target) + "px");
+      absolutePosition(overlay, target);
+    }
+  }
+}
+__name(alignOverlay, "alignOverlay");
+function isElement(element) {
+  return typeof HTMLElement === "object" ? element instanceof HTMLElement : element && typeof element === "object" && element !== null && element.nodeType === 1 && typeof element.nodeName === "string";
+}
+__name(isElement, "isElement");
+function toElement(element) {
+  let target = element;
+  if (element && typeof element === "object") {
+    if (element.hasOwnProperty("current")) {
+      target = element.current;
+    } else if (element.hasOwnProperty("el")) {
+      if (element.el.hasOwnProperty("nativeElement")) {
+        target = element.el.nativeElement;
+      } else {
+        target = element.el;
+      }
+    }
+  }
+  return isElement(target) ? target : void 0;
+}
+__name(toElement, "toElement");
+function appendChild(element, child) {
+  const target = toElement(element);
+  if (target) target.appendChild(child);
+  else throw new Error("Cannot append " + child + " to " + element);
+}
+__name(appendChild, "appendChild");
+var calculatedScrollbarHeight = void 0;
+function calculateScrollbarHeight(element) {
+  if (element) {
+    let style = getComputedStyle(element);
+    return element.offsetHeight - element.clientHeight - parseFloat(style.borderTopWidth) - parseFloat(style.borderBottomWidth);
+  } else {
+    if (calculatedScrollbarHeight != null) return calculatedScrollbarHeight;
+    let scrollDiv = document.createElement("div");
+    addStyle(scrollDiv, {
+      width: "100px",
+      height: "100px",
+      overflow: "scroll",
+      position: "absolute",
+      top: "-9999px"
+    });
+    document.body.appendChild(scrollDiv);
+    let scrollbarHeight = scrollDiv.offsetHeight - scrollDiv.clientHeight;
+    document.body.removeChild(scrollDiv);
+    calculatedScrollbarHeight = scrollbarHeight;
+    return scrollbarHeight;
+  }
+}
+__name(calculateScrollbarHeight, "calculateScrollbarHeight");
+var calculatedScrollbarWidth = void 0;
+function calculateScrollbarWidth(element) {
+  if (element) {
+    let style = getComputedStyle(element);
+    return element.offsetWidth - element.clientWidth - parseFloat(style.borderLeftWidth) - parseFloat(style.borderRightWidth);
+  } else {
+    if (calculatedScrollbarWidth != null) return calculatedScrollbarWidth;
+    let scrollDiv = document.createElement("div");
+    addStyle(scrollDiv, {
+      width: "100px",
+      height: "100px",
+      overflow: "scroll",
+      position: "absolute",
+      top: "-9999px"
+    });
+    document.body.appendChild(scrollDiv);
+    let scrollbarWidth = scrollDiv.offsetWidth - scrollDiv.clientWidth;
+    document.body.removeChild(scrollDiv);
+    calculatedScrollbarWidth = scrollbarWidth;
+    return scrollbarWidth;
+  }
+}
+__name(calculateScrollbarWidth, "calculateScrollbarWidth");
+function clearSelection() {
+  if (window.getSelection) {
+    const selection = window.getSelection() || {};
+    if (selection.empty) {
+      selection.empty();
+    } else if (selection.removeAllRanges && selection.rangeCount > 0 && selection.getRangeAt(0).getClientRects().length > 0) {
+      selection.removeAllRanges();
+    }
+  }
+}
+__name(clearSelection, "clearSelection");
+function setAttributes(element, attributes = {}) {
+  if (isElement(element)) {
+    const computedStyles = /* @__PURE__ */ __name((rule, value3) => {
+      var _a, _b;
+      const styles = ((_a = element == null ? void 0 : element.$attrs) == null ? void 0 : _a[rule]) ? [(_b = element == null ? void 0 : element.$attrs) == null ? void 0 : _b[rule]] : [];
+      return [value3].flat().reduce((cv, v2) => {
+        if (v2 !== null && v2 !== void 0) {
+          const type = typeof v2;
+          if (type === "string" || type === "number") {
+            cv.push(v2);
+          } else if (type === "object") {
+            const _cv = Array.isArray(v2) ? computedStyles(rule, v2) : Object.entries(v2).map(([_k, _v]) => rule === "style" && (!!_v || _v === 0) ? `${_k.replace(/([a-z])([A-Z])/g, "$1-$2").toLowerCase()}:${_v}` : !!_v ? _k : void 0);
+            cv = _cv.length ? cv.concat(_cv.filter((c) => !!c)) : cv;
+          }
+        }
+        return cv;
+      }, styles);
+    }, "computedStyles");
+    Object.entries(attributes).forEach(([key, value3]) => {
+      if (value3 !== void 0 && value3 !== null) {
+        const matchedEvent = key.match(/^on(.+)/);
+        if (matchedEvent) {
+          element.addEventListener(matchedEvent[1].toLowerCase(), value3);
+        } else if (key === "p-bind") {
+          setAttributes(element, value3);
+        } else {
+          value3 = key === "class" ? [...new Set(computedStyles("class", value3))].join(" ").trim() : key === "style" ? computedStyles("style", value3).join(";").trim() : value3;
+          (element.$attrs = element.$attrs || {}) && (element.$attrs[key] = value3);
+          element.setAttribute(key, value3);
+        }
+      }
+    });
+  }
+}
+__name(setAttributes, "setAttributes");
+function createElement(type, attributes = {}, ...children) {
+  if (type) {
+    const element = document.createElement(type);
+    setAttributes(element, attributes);
+    element.append(...children);
+    return element;
+  }
+  return void 0;
+}
+__name(createElement, "createElement");
+function createStyleAsString(css4, options3 = {}) {
+  return css4 ? `'<style type="text/css" ${Object.entries(options3).reduce((s, [k, v2]) => s + `${k}="${v2}"`, " ")}>${css4}</style>'` : "";
+}
+__name(createStyleAsString, "createStyleAsString");
+function createStyleTag(attributes = {}, container) {
+  let element = document.createElement("style");
+  setAttributes(element, attributes);
+  if (!container) {
+    container = document.head;
+  }
+  container.appendChild(element);
+  return element;
+}
+__name(createStyleTag, "createStyleTag");
+function fadeIn(element, duration) {
+  if (element) {
+    element.style.opacity = "0";
+    let last = +/* @__PURE__ */ new Date();
+    let opacity = "0";
+    let tick = /* @__PURE__ */ __name(function() {
+      opacity = `${+element.style.opacity + ((/* @__PURE__ */ new Date()).getTime() - last) / duration}`;
+      element.style.opacity = opacity;
+      last = +/* @__PURE__ */ new Date();
+      if (+opacity < 1) {
+        !!window.requestAnimationFrame && requestAnimationFrame(tick) || setTimeout(tick, 16);
+      }
+    }, "tick");
+    tick();
+  }
+}
+__name(fadeIn, "fadeIn");
+function fadeOut(element, duration) {
+  if (element) {
+    let opacity = 1, interval = 50, gap = interval / duration;
+    let fading = setInterval(() => {
+      opacity -= gap;
+      if (opacity <= 0) {
+        opacity = 0;
+        clearInterval(fading);
+      }
+      element.style.opacity = opacity.toString();
+    }, interval);
+  }
+}
+__name(fadeOut, "fadeOut");
+function find(element, selector) {
+  return isElement(element) ? Array.from(element.querySelectorAll(selector)) : [];
+}
+__name(find, "find");
+function findSingle(element, selector) {
+  return isElement(element) ? element.matches(selector) ? element : element.querySelector(selector) : null;
+}
+__name(findSingle, "findSingle");
+function focus(element, options3) {
+  element && document.activeElement !== element && element.focus(options3);
+}
+__name(focus, "focus");
+function getAttribute(element, name) {
+  if (isElement(element)) {
+    const value3 = element.getAttribute(name);
+    if (!isNaN(value3)) {
+      return +value3;
+    }
+    if (value3 === "true" || value3 === "false") {
+      return value3 === "true";
+    }
+    return value3;
+  }
+  return void 0;
+}
+__name(getAttribute, "getAttribute");
+function resolveUserAgent() {
+  let ua = navigator.userAgent.toLowerCase();
+  let match = /(chrome)[ ]([\w.]+)/.exec(ua) || /(webkit)[ ]([\w.]+)/.exec(ua) || /(opera)(?:.*version|)[ ]([\w.]+)/.exec(ua) || /(msie) ([\w.]+)/.exec(ua) || ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) || [];
+  return {
+    browser: match[1] || "",
+    version: match[2] || "0"
+  };
+}
+__name(resolveUserAgent, "resolveUserAgent");
+var browser = null;
+function getBrowser() {
+  if (!browser) {
+    browser = {};
+    let matched = resolveUserAgent();
+    if (matched.browser) {
+      browser[matched.browser] = true;
+      browser["version"] = matched.version;
+    }
+    if (browser["chrome"]) {
+      browser["webkit"] = true;
+    } else if (browser["webkit"]) {
+      browser["safari"] = true;
+    }
+  }
+  return browser;
+}
+__name(getBrowser, "getBrowser");
+function getCursorOffset(element, prevText, nextText, currentText) {
+  if (element) {
+    let style = getComputedStyle(element);
+    let ghostDiv = document.createElement("div");
+    ghostDiv.style.position = "absolute";
+    ghostDiv.style.top = "0px";
+    ghostDiv.style.left = "0px";
+    ghostDiv.style.visibility = "hidden";
+    ghostDiv.style.pointerEvents = "none";
+    ghostDiv.style.overflow = style.overflow;
+    ghostDiv.style.width = style.width;
+    ghostDiv.style.height = style.height;
+    ghostDiv.style.padding = style.padding;
+    ghostDiv.style.border = style.border;
+    ghostDiv.style.overflowWrap = style.overflowWrap;
+    ghostDiv.style.whiteSpace = style.whiteSpace;
+    ghostDiv.style.lineHeight = style.lineHeight;
+    ghostDiv.innerHTML = prevText.replace(/\r\n|\r|\n/g, "<br />");
+    let ghostSpan = document.createElement("span");
+    ghostSpan.textContent = currentText;
+    ghostDiv.appendChild(ghostSpan);
+    let text = document.createTextNode(nextText);
+    ghostDiv.appendChild(text);
+    document.body.appendChild(ghostDiv);
+    const { offsetLeft, offsetTop, clientHeight } = ghostSpan;
+    document.body.removeChild(ghostDiv);
+    return {
+      left: Math.abs(offsetLeft - element.scrollLeft),
+      top: Math.abs(offsetTop - element.scrollTop) + clientHeight
+    };
+  }
+  return {
+    top: "auto",
+    left: "auto"
+  };
+}
+__name(getCursorOffset, "getCursorOffset");
+function getFocusableElements(element, selector = "") {
+  let focusableElements = find(
+    element,
+    `button:not([tabindex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            [href][clientHeight][clientWidth]:not([tabindex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            input:not([tabindex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            select:not([tabindex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            textarea:not([tabindex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            [tabIndex]:not([tabIndex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            [contenteditable]:not([tabIndex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector}`
+  );
+  let visibleFocusableElements = [];
+  for (let focusableElement of focusableElements) {
+    if (getComputedStyle(focusableElement).display != "none" && getComputedStyle(focusableElement).visibility != "hidden") visibleFocusableElements.push(focusableElement);
+  }
+  return visibleFocusableElements;
+}
+__name(getFocusableElements, "getFocusableElements");
+function getFirstFocusableElement(element, selector) {
+  const focusableElements = getFocusableElements(element, selector);
+  return focusableElements.length > 0 ? focusableElements[0] : null;
+}
+__name(getFirstFocusableElement, "getFirstFocusableElement");
+function getHeight(element) {
+  if (element) {
+    let height = element.offsetHeight;
+    let style = getComputedStyle(element);
+    height -= parseFloat(style.paddingTop) + parseFloat(style.paddingBottom) + parseFloat(style.borderTopWidth) + parseFloat(style.borderBottomWidth);
+    return height;
+  }
+  return 0;
+}
+__name(getHeight, "getHeight");
+function getHiddenElementOuterHeight(element) {
+  if (element) {
+    element.style.visibility = "hidden";
+    element.style.display = "block";
+    let elementHeight = element.offsetHeight;
+    element.style.display = "none";
+    element.style.visibility = "visible";
+    return elementHeight;
+  }
+  return 0;
+}
+__name(getHiddenElementOuterHeight, "getHiddenElementOuterHeight");
+function getHiddenElementOuterWidth(element) {
+  if (element) {
+    element.style.visibility = "hidden";
+    element.style.display = "block";
+    let elementWidth = element.offsetWidth;
+    element.style.display = "none";
+    element.style.visibility = "visible";
+    return elementWidth;
+  }
+  return 0;
+}
+__name(getHiddenElementOuterWidth, "getHiddenElementOuterWidth");
+function getParentNode(element) {
+  if (element) {
+    let parent = element.parentNode;
+    if (parent && parent instanceof ShadowRoot && parent.host) {
+      parent = parent.host;
+    }
+    return parent;
+  }
+  return null;
+}
+__name(getParentNode, "getParentNode");
+function getIndex(element) {
+  var _a;
+  if (element) {
+    let children = (_a = getParentNode(element)) == null ? void 0 : _a.childNodes;
+    let num = 0;
+    if (children) {
+      for (let i2 = 0; i2 < children.length; i2++) {
+        if (children[i2] === element) return num;
+        if (children[i2].nodeType === 1) num++;
+      }
+    }
+  }
+  return -1;
+}
+__name(getIndex, "getIndex");
+function getInnerWidth(element) {
+  if (element) {
+    let width2 = element.offsetWidth;
+    let style = getComputedStyle(element);
+    width2 -= parseFloat(style.borderLeft) + parseFloat(style.borderRight);
+    return width2;
+  }
+  return 0;
+}
+__name(getInnerWidth, "getInnerWidth");
+function getLastFocusableElement(element, selector) {
+  const focusableElements = getFocusableElements(element, selector);
+  return focusableElements.length > 0 ? focusableElements[focusableElements.length - 1] : null;
+}
+__name(getLastFocusableElement, "getLastFocusableElement");
+function getNextElementSibling(element, selector) {
+  let nextElement = element.nextElementSibling;
+  while (nextElement) {
+    if (nextElement.matches(selector)) {
+      return nextElement;
+    } else {
+      nextElement = nextElement.nextElementSibling;
+    }
+  }
+  return null;
+}
+__name(getNextElementSibling, "getNextElementSibling");
+function getNextFocusableElement(container, element, selector) {
+  const focusableElements = getFocusableElements(container, selector);
+  const index2 = focusableElements.length > 0 ? focusableElements.findIndex((el) => el === element) : -1;
+  const nextIndex = index2 > -1 && focusableElements.length >= index2 + 1 ? index2 + 1 : -1;
+  return nextIndex > -1 ? focusableElements[nextIndex] : null;
+}
+__name(getNextFocusableElement, "getNextFocusableElement");
+function getOffset(element) {
+  if (element) {
+    let rect = element.getBoundingClientRect();
+    return {
+      top: rect.top + (window.pageYOffset || document.documentElement.scrollTop || document.body.scrollTop || 0),
+      left: rect.left + (window.pageXOffset || document.documentElement.scrollLeft || document.body.scrollLeft || 0)
+    };
+  }
+  return {
+    top: "auto",
+    left: "auto"
+  };
+}
+__name(getOffset, "getOffset");
+function getOuterHeight(element, margin) {
+  if (element) {
+    let height = element.offsetHeight;
+    if (margin) {
+      let style = getComputedStyle(element);
+      height += parseFloat(style.marginTop) + parseFloat(style.marginBottom);
+    }
+    return height;
+  }
+  return 0;
+}
+__name(getOuterHeight, "getOuterHeight");
+function getParents(element, parents = []) {
+  const parent = getParentNode(element);
+  return parent === null ? parents : getParents(parent, parents.concat([parent]));
+}
+__name(getParents, "getParents");
+function getPreviousElementSibling(element, selector) {
+  let previousElement = element.previousElementSibling;
+  while (previousElement) {
+    if (previousElement.matches(selector)) {
+      return previousElement;
+    } else {
+      previousElement = previousElement.previousElementSibling;
+    }
+  }
+  return null;
+}
+__name(getPreviousElementSibling, "getPreviousElementSibling");
+function getScrollableParents(element) {
+  let scrollableParents = [];
+  if (element) {
+    let parents = getParents(element);
+    const overflowRegex = /(auto|scroll)/;
+    const overflowCheck = /* @__PURE__ */ __name((node3) => {
+      try {
+        let styleDeclaration = window["getComputedStyle"](node3, null);
+        return overflowRegex.test(styleDeclaration.getPropertyValue("overflow")) || overflowRegex.test(styleDeclaration.getPropertyValue("overflowX")) || overflowRegex.test(styleDeclaration.getPropertyValue("overflowY"));
+      } catch (err) {
+        return false;
+      }
+    }, "overflowCheck");
+    for (let parent of parents) {
+      let scrollSelectors = parent.nodeType === 1 && parent.dataset["scrollselectors"];
+      if (scrollSelectors) {
+        let selectors = scrollSelectors.split(",");
+        for (let selector of selectors) {
+          let el = findSingle(parent, selector);
+          if (el && overflowCheck(el)) {
+            scrollableParents.push(el);
+          }
+        }
+      }
+      if (parent.nodeType !== 9 && overflowCheck(parent)) {
+        scrollableParents.push(parent);
+      }
+    }
+  }
+  return scrollableParents;
+}
+__name(getScrollableParents, "getScrollableParents");
+function getSelection() {
+  if (window.getSelection) return window.getSelection().toString();
+  else if (document.getSelection) return document.getSelection().toString();
+  return void 0;
+}
+__name(getSelection, "getSelection");
+function isExist(element) {
+  return !!(element !== null && typeof element !== "undefined" && element.nodeName && getParentNode(element));
+}
+__name(isExist, "isExist");
+function getTargetElement(target, currentElement) {
+  var _a;
+  if (!target) return void 0;
+  switch (target) {
+    case "document":
+      return document;
+    case "window":
+      return window;
+    case "@next":
+      return currentElement == null ? void 0 : currentElement.nextElementSibling;
+    case "@prev":
+      return currentElement == null ? void 0 : currentElement.previousElementSibling;
+    case "@parent":
+      return currentElement == null ? void 0 : currentElement.parentElement;
+    case "@grandparent":
+      return (_a = currentElement == null ? void 0 : currentElement.parentElement) == null ? void 0 : _a.parentElement;
+    default:
+      if (typeof target === "string") {
+        return document.querySelector(target);
+      }
+      const isFunction3 = /* @__PURE__ */ __name((obj) => !!(obj && obj.constructor && obj.call && obj.apply), "isFunction");
+      const element = toElement(isFunction3(target) ? target() : target);
+      return (element == null ? void 0 : element.nodeType) === 9 || isExist(element) ? element : void 0;
+  }
+}
+__name(getTargetElement, "getTargetElement");
+function getUserAgent() {
+  return navigator.userAgent;
+}
+__name(getUserAgent, "getUserAgent");
+function getWidth(element) {
+  if (element) {
+    let width2 = element.offsetWidth;
+    let style = getComputedStyle(element);
+    width2 -= parseFloat(style.paddingLeft) + parseFloat(style.paddingRight) + parseFloat(style.borderLeftWidth) + parseFloat(style.borderRightWidth);
+    return width2;
+  }
+  return 0;
+}
+__name(getWidth, "getWidth");
+function hasCSSAnimation(element) {
+  if (element) {
+    const style = getComputedStyle(element);
+    const animationDuration = parseFloat(style.getPropertyValue("animation-duration") || "0");
+    return animationDuration > 0;
+  }
+  return false;
+}
+__name(hasCSSAnimation, "hasCSSAnimation");
+function hasCSSTransition(element) {
+  if (element) {
+    const style = getComputedStyle(element);
+    const transitionDuration = parseFloat(style.getPropertyValue("transition-duration") || "0");
+    return transitionDuration > 0;
+  }
+  return false;
+}
+__name(hasCSSTransition, "hasCSSTransition");
+function invokeElementMethod(element, methodName, args) {
+  element[methodName].apply(element, args);
+}
+__name(invokeElementMethod, "invokeElementMethod");
+function isAndroid$1() {
+  return /(android)/i.test(navigator.userAgent);
+}
+__name(isAndroid$1, "isAndroid$1");
+function isAttributeEquals(element, name, value3) {
+  return isElement(element) ? getAttribute(element, name) === value3 : false;
+}
+__name(isAttributeEquals, "isAttributeEquals");
+function isAttributeNotEquals(element, name, value3) {
+  return !isAttributeEquals(element, name, value3);
+}
+__name(isAttributeNotEquals, "isAttributeNotEquals");
+function isClickable(element) {
+  if (element) {
+    const targetNode = element.nodeName;
+    const parentNode = element.parentElement && element.parentElement.nodeName;
+    return targetNode === "INPUT" || targetNode === "TEXTAREA" || targetNode === "BUTTON" || targetNode === "A" || parentNode === "INPUT" || parentNode === "TEXTAREA" || parentNode === "BUTTON" || parentNode === "A" || !!element.closest(".p-button, .p-checkbox, .p-radiobutton");
+  }
+  return false;
+}
+__name(isClickable, "isClickable");
+function isClient$1() {
+  return !!(typeof window !== "undefined" && window.document && window.document.createElement);
+}
+__name(isClient$1, "isClient$1");
+function isFocusableElement(element, selector = "") {
+  return isElement(element) ? element.matches(`button:not([tabindex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            [href][clientHeight][clientWidth]:not([tabindex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            input:not([tabindex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            select:not([tabindex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            textarea:not([tabindex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            [tabIndex]:not([tabIndex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector},
+            [contenteditable]:not([tabIndex = "-1"]):not([disabled]):not([style*="display:none"]):not([hidden])${selector}`) : false;
+}
+__name(isFocusableElement, "isFocusableElement");
+function isVisible(element) {
+  return !!(element && element.offsetParent != null);
+}
+__name(isVisible, "isVisible");
+function isHidden(element) {
+  return !isVisible(element);
+}
+__name(isHidden, "isHidden");
+function isIOS$1() {
+  return /iPad|iPhone|iPod/.test(navigator.userAgent) && !window["MSStream"];
+}
+__name(isIOS$1, "isIOS$1");
+function isTouchDevice() {
+  return "ontouchstart" in window || navigator.maxTouchPoints > 0 || navigator.msMaxTouchPoints > 0;
+}
+__name(isTouchDevice, "isTouchDevice");
+function nestedPosition(element, level) {
+  var _a;
+  if (element) {
+    const parentItem = element.parentElement;
+    const elementOffset = getOffset(parentItem);
+    const viewport = getViewport();
+    const sublistWidth = element.offsetParent ? element.offsetWidth : getHiddenElementOuterWidth(element);
+    const itemOuterWidth = getOuterWidth((_a = parentItem == null ? void 0 : parentItem.children) == null ? void 0 : _a[0]);
+    let left = "";
+    if (elementOffset.left + itemOuterWidth + sublistWidth > viewport.width - calculateScrollbarWidth()) {
+      if (elementOffset.left < sublistWidth) {
+        if (level % 2 === 1) {
+          left = elementOffset.left ? "-" + elementOffset.left + "px" : "100%";
+        } else if (level % 2 === 0) {
+          left = viewport.width - sublistWidth - calculateScrollbarWidth() + "px";
+        }
+      } else {
+        left = "-100%";
+      }
+    } else {
+      left = "100%";
+    }
+    element.style.top = "0px";
+    element.style.left = left;
+  }
+}
+__name(nestedPosition, "nestedPosition");
+function remove(element) {
+  var _a;
+  if (element) {
+    if (!("remove" in Element.prototype)) (_a = element.parentNode) == null ? void 0 : _a.removeChild(element);
+    else element.remove();
+  }
+}
+__name(remove, "remove");
+function removeChild(element, child) {
+  const target = toElement(element);
+  if (target) target.removeChild(child);
+  else throw new Error("Cannot remove " + child + " from " + element);
+}
+__name(removeChild, "removeChild");
+function removeStyleTag(element) {
+  var _a;
+  if (isExist(element)) {
+    try {
+      (_a = element.parentNode) == null ? void 0 : _a.removeChild(element);
+    } catch (error) {
+    }
+    return null;
+  }
+  return element;
+}
+__name(removeStyleTag, "removeStyleTag");
+function scrollInView(container, item2) {
+  let borderTopValue = getComputedStyle(container).getPropertyValue("borderTopWidth");
+  let borderTop = borderTopValue ? parseFloat(borderTopValue) : 0;
+  let paddingTopValue = getComputedStyle(container).getPropertyValue("paddingTop");
+  let paddingTop = paddingTopValue ? parseFloat(paddingTopValue) : 0;
+  let containerRect = container.getBoundingClientRect();
+  let itemRect = item2.getBoundingClientRect();
+  let offset = itemRect.top + document.body.scrollTop - (containerRect.top + document.body.scrollTop) - borderTop - paddingTop;
+  let scroll = container.scrollTop;
+  let elementHeight = container.clientHeight;
+  let itemHeight = getOuterHeight(item2);
+  if (offset < 0) {
+    container.scrollTop = scroll + offset;
+  } else if (offset + itemHeight > elementHeight) {
+    container.scrollTop = scroll + offset - elementHeight + itemHeight;
+  }
+}
+__name(scrollInView, "scrollInView");
+function setAttribute(element, attribute = "", value3) {
+  if (isElement(element) && value3 !== null && value3 !== void 0) {
+    element.setAttribute(attribute, value3);
+  }
+}
+__name(setAttribute, "setAttribute");
+function _typeof$m(o) {
+  "@babel/helpers - typeof";
+  return _typeof$m = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$m(o);
+}
+__name(_typeof$m, "_typeof$m");
+function ownKeys$j(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$j, "ownKeys$j");
+function _objectSpread$j(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$j(Object(t), true).forEach(function(r2) {
+      _defineProperty$m(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$j(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$j, "_objectSpread$j");
+function _defineProperty$m(e, r, t) {
+  return (r = _toPropertyKey$l(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$m, "_defineProperty$m");
+function _toPropertyKey$l(t) {
+  var i2 = _toPrimitive$l(t, "string");
+  return "symbol" == _typeof$m(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$l, "_toPropertyKey$l");
+function _toPrimitive$l(t, r) {
+  if ("object" != _typeof$m(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$m(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$l, "_toPrimitive$l");
+function tryOnMounted$1(fn) {
+  var sync = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : true;
+  if (getCurrentInstance()) onMounted(fn);
+  else if (sync) fn();
+  else nextTick(fn);
+}
+__name(tryOnMounted$1, "tryOnMounted$1");
+var _id$1 = 0;
+function useStyle(css4) {
+  var options3 = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+  var isLoaded = ref(false);
+  var cssRef = ref(css4);
+  var styleRef = ref(null);
+  var defaultDocument2 = isClient$1() ? window.document : void 0;
+  var _options$document = options3.document, document2 = _options$document === void 0 ? defaultDocument2 : _options$document, _options$immediate = options3.immediate, immediate = _options$immediate === void 0 ? true : _options$immediate, _options$manual = options3.manual, manual = _options$manual === void 0 ? false : _options$manual, _options$name = options3.name, name = _options$name === void 0 ? "style_".concat(++_id$1) : _options$name, _options$id = options3.id, id2 = _options$id === void 0 ? void 0 : _options$id, _options$media = options3.media, media = _options$media === void 0 ? void 0 : _options$media, _options$nonce = options3.nonce, nonce = _options$nonce === void 0 ? void 0 : _options$nonce, _options$first = options3.first, first = _options$first === void 0 ? false : _options$first, _options$onMounted = options3.onMounted, onStyleMounted2 = _options$onMounted === void 0 ? void 0 : _options$onMounted, _options$onUpdated = options3.onUpdated, onStyleUpdated2 = _options$onUpdated === void 0 ? void 0 : _options$onUpdated, _options$onLoad = options3.onLoad, onStyleLoaded2 = _options$onLoad === void 0 ? void 0 : _options$onLoad, _options$props = options3.props, props = _options$props === void 0 ? {} : _options$props;
+  var stop2 = /* @__PURE__ */ __name(function stop3() {
+  }, "stop");
+  var load2 = /* @__PURE__ */ __name(function load3(_css) {
+    var _props = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+    if (!document2) return;
+    var _styleProps = _objectSpread$j(_objectSpread$j({}, props), _props);
+    var _name = _styleProps.name || name, _id2 = _styleProps.id || id2, _nonce = _styleProps.nonce || nonce;
+    styleRef.value = document2.querySelector('style[data-primevue-style-id="'.concat(_name, '"]')) || document2.getElementById(_id2) || document2.createElement("style");
+    if (!styleRef.value.isConnected) {
+      cssRef.value = _css || css4;
+      setAttributes(styleRef.value, {
+        type: "text/css",
+        id: _id2,
+        media,
+        nonce: _nonce
+      });
+      first ? document2.head.prepend(styleRef.value) : document2.head.appendChild(styleRef.value);
+      setAttribute(styleRef.value, "data-primevue-style-id", _name);
+      setAttributes(styleRef.value, _styleProps);
+      styleRef.value.onload = function(event2) {
+        return onStyleLoaded2 === null || onStyleLoaded2 === void 0 ? void 0 : onStyleLoaded2(event2, {
+          name: _name
+        });
+      };
+      onStyleMounted2 === null || onStyleMounted2 === void 0 || onStyleMounted2(_name);
+    }
+    if (isLoaded.value) return;
+    stop2 = watch(cssRef, function(value3) {
+      styleRef.value.textContent = value3;
+      onStyleUpdated2 === null || onStyleUpdated2 === void 0 || onStyleUpdated2(_name);
+    }, {
+      immediate: true
+    });
+    isLoaded.value = true;
+  }, "load");
+  var unload = /* @__PURE__ */ __name(function unload2() {
+    if (!document2 || !isLoaded.value) return;
+    stop2();
+    isExist(styleRef.value) && document2.head.removeChild(styleRef.value);
+    isLoaded.value = false;
+  }, "unload");
+  if (immediate && !manual) tryOnMounted$1(load2);
+  return {
+    id: id2,
+    name,
+    el: styleRef,
+    css: cssRef,
+    unload,
+    load: load2,
+    isLoaded: readonly(isLoaded)
+  };
+}
+__name(useStyle, "useStyle");
+function _typeof$l(o) {
+  "@babel/helpers - typeof";
+  return _typeof$l = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$l(o);
+}
+__name(_typeof$l, "_typeof$l");
+function _slicedToArray$5(r, e) {
+  return _arrayWithHoles$5(r) || _iterableToArrayLimit$5(r, e) || _unsupportedIterableToArray$l(r, e) || _nonIterableRest$5();
+}
+__name(_slicedToArray$5, "_slicedToArray$5");
+function _nonIterableRest$5() {
+  throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableRest$5, "_nonIterableRest$5");
+function _unsupportedIterableToArray$l(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$l(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$l(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$l, "_unsupportedIterableToArray$l");
+function _arrayLikeToArray$l(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$l, "_arrayLikeToArray$l");
+function _iterableToArrayLimit$5(r, l) {
+  var t = null == r ? null : "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (null != t) {
+    var e, n, i2, u, a = [], f = true, o = false;
+    try {
+      if (i2 = (t = t.call(r)).next, 0 === l) ;
+      else for (; !(f = (e = i2.call(t)).done) && (a.push(e.value), a.length !== l); f = true) ;
+    } catch (r2) {
+      o = true, n = r2;
+    } finally {
+      try {
+        if (!f && null != t["return"] && (u = t["return"](), Object(u) !== u)) return;
+      } finally {
+        if (o) throw n;
+      }
+    }
+    return a;
+  }
+}
+__name(_iterableToArrayLimit$5, "_iterableToArrayLimit$5");
+function _arrayWithHoles$5(r) {
+  if (Array.isArray(r)) return r;
+}
+__name(_arrayWithHoles$5, "_arrayWithHoles$5");
+function ownKeys$i(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$i, "ownKeys$i");
+function _objectSpread$i(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$i(Object(t), true).forEach(function(r2) {
+      _defineProperty$l(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$i(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$i, "_objectSpread$i");
+function _defineProperty$l(e, r, t) {
+  return (r = _toPropertyKey$k(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$l, "_defineProperty$l");
+function _toPropertyKey$k(t) {
+  var i2 = _toPrimitive$k(t, "string");
+  return "symbol" == _typeof$l(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$k, "_toPropertyKey$k");
+function _toPrimitive$k(t, r) {
+  if ("object" != _typeof$l(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$l(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$k, "_toPrimitive$k");
+var theme$z = /* @__PURE__ */ __name(function theme2(_ref) {
+  var dt3 = _ref.dt;
+  return "\n* {\n    box-sizing: border-box;\n}\n\n/* Non vue overlay animations */\n.p-connected-overlay {\n    opacity: 0;\n    transform: scaleY(0.8);\n    transition: transform 0.12s cubic-bezier(0, 0, 0.2, 1),\n        opacity 0.12s cubic-bezier(0, 0, 0.2, 1);\n}\n\n.p-connected-overlay-visible {\n    opacity: 1;\n    transform: scaleY(1);\n}\n\n.p-connected-overlay-hidden {\n    opacity: 0;\n    transform: scaleY(1);\n    transition: opacity 0.1s linear;\n}\n\n/* Vue based overlay animations */\n.p-connected-overlay-enter-from {\n    opacity: 0;\n    transform: scaleY(0.8);\n}\n\n.p-connected-overlay-leave-to {\n    opacity: 0;\n}\n\n.p-connected-overlay-enter-active {\n    transition: transform 0.12s cubic-bezier(0, 0, 0.2, 1),\n        opacity 0.12s cubic-bezier(0, 0, 0.2, 1);\n}\n\n.p-connected-overlay-leave-active {\n    transition: opacity 0.1s linear;\n}\n\n/* Toggleable Content */\n.p-toggleable-content-enter-from,\n.p-toggleable-content-leave-to {\n    max-height: 0;\n}\n\n.p-toggleable-content-enter-to,\n.p-toggleable-content-leave-from {\n    max-height: 1000px;\n}\n\n.p-toggleable-content-leave-active {\n    overflow: hidden;\n    transition: max-height 0.45s cubic-bezier(0, 1, 0, 1);\n}\n\n.p-toggleable-content-enter-active {\n    overflow: hidden;\n    transition: max-height 1s ease-in-out;\n}\n\n.p-disabled,\n.p-disabled * {\n    cursor: default;\n    pointer-events: none;\n    user-select: none;\n}\n\n.p-disabled,\n.p-component:disabled {\n    opacity: ".concat(dt3("disabled.opacity"), ";\n}\n\n.pi {\n    font-size: ").concat(dt3("icon.size"), ";\n}\n\n.p-icon {\n    width: ").concat(dt3("icon.size"), ";\n    height: ").concat(dt3("icon.size"), ";\n}\n\n.p-overlay-mask {\n    background: ").concat(dt3("mask.background"), ";\n    color: ").concat(dt3("mask.color"), ";\n    position: fixed;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n}\n\n.p-overlay-mask-enter {\n    animation: p-overlay-mask-enter-animation ").concat(dt3("mask.transition.duration"), " forwards;\n}\n\n.p-overlay-mask-leave {\n    animation: p-overlay-mask-leave-animation ").concat(dt3("mask.transition.duration"), " forwards;\n}\n\n@keyframes p-overlay-mask-enter-animation {\n    from {\n        background: transparent;\n    }\n    to {\n        background: ").concat(dt3("mask.background"), ";\n    }\n}\n@keyframes p-overlay-mask-leave-animation {\n    from {\n        background: ").concat(dt3("mask.background"), ";\n    }\n    to {\n        background: transparent;\n    }\n}\n");
+}, "theme");
+var css$2 = /* @__PURE__ */ __name(function css2(_ref2) {
+  var dt3 = _ref2.dt;
+  return "\n.p-hidden-accessible {\n    border: 0;\n    clip: rect(0 0 0 0);\n    height: 1px;\n    margin: -1px;\n    overflow: hidden;\n    padding: 0;\n    position: absolute;\n    width: 1px;\n}\n\n.p-hidden-accessible input,\n.p-hidden-accessible select {\n    transform: scale(0);\n}\n\n.p-overflow-hidden {\n    overflow: hidden;\n    padding-right: ".concat(dt3("scrollbar.width"), ";\n}\n");
+}, "css");
+var classes$C = {};
+var inlineStyles$7 = {};
+var BaseStyle = {
+  name: "base",
+  css: css$2,
+  theme: theme$z,
+  classes: classes$C,
+  inlineStyles: inlineStyles$7,
+  load: /* @__PURE__ */ __name(function load(style) {
+    var options3 = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+    var transform2 = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : function(cs) {
+      return cs;
+    };
+    var computedStyle = transform2(resolve(style, {
+      dt: dt$1
+    }));
+    return computedStyle ? useStyle(minifyCSS(computedStyle), _objectSpread$i({
+      name: this.name
+    }, options3)) : {};
+  }, "load"),
+  loadCSS: /* @__PURE__ */ __name(function loadCSS() {
+    var options3 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    return this.load(this.css, options3);
+  }, "loadCSS"),
+  loadTheme: /* @__PURE__ */ __name(function loadTheme() {
+    var _this = this;
+    var options3 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    return this.load(this.theme, options3, function(computedStyle) {
+      return config_default.transformCSS(options3.name || _this.name, computedStyle);
+    });
+  }, "loadTheme"),
+  getCommonTheme: /* @__PURE__ */ __name(function getCommonTheme(params) {
+    return config_default.getCommon(this.name, params);
+  }, "getCommonTheme"),
+  getComponentTheme: /* @__PURE__ */ __name(function getComponentTheme(params) {
+    return config_default.getComponent(this.name, params);
+  }, "getComponentTheme"),
+  getDirectiveTheme: /* @__PURE__ */ __name(function getDirectiveTheme(params) {
+    return config_default.getDirective(this.name, params);
+  }, "getDirectiveTheme"),
+  getPresetTheme: /* @__PURE__ */ __name(function getPresetTheme(preset, selector, params) {
+    return config_default.getCustomPreset(this.name, preset, selector, params);
+  }, "getPresetTheme"),
+  getLayerOrderThemeCSS: /* @__PURE__ */ __name(function getLayerOrderThemeCSS() {
+    return config_default.getLayerOrderCSS(this.name);
+  }, "getLayerOrderThemeCSS"),
+  getStyleSheet: /* @__PURE__ */ __name(function getStyleSheet() {
+    var extendedCSS = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+    var props = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+    if (this.css) {
+      var _css = resolve(this.css, {
+        dt: dt$1
+      });
+      var _style = minifyCSS("".concat(_css).concat(extendedCSS));
+      var _props = Object.entries(props).reduce(function(acc, _ref3) {
+        var _ref4 = _slicedToArray$5(_ref3, 2), k = _ref4[0], v2 = _ref4[1];
+        return acc.push("".concat(k, '="').concat(v2, '"')) && acc;
+      }, []).join(" ");
+      return '<style type="text/css" data-primevue-style-id="'.concat(this.name, '" ').concat(_props, ">").concat(_style, "</style>");
+    }
+    return "";
+  }, "getStyleSheet"),
+  getCommonThemeStyleSheet: /* @__PURE__ */ __name(function getCommonThemeStyleSheet(params) {
+    var props = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+    return config_default.getCommonStyleSheet(this.name, params, props);
+  }, "getCommonThemeStyleSheet"),
+  getThemeStyleSheet: /* @__PURE__ */ __name(function getThemeStyleSheet(params) {
+    var props = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+    var css4 = [config_default.getStyleSheet(this.name, params, props)];
+    if (this.theme) {
+      var name = this.name === "base" ? "global-style" : "".concat(this.name, "-style");
+      var _css = resolve(this.theme, {
+        dt: dt$1
+      });
+      var _style = minifyCSS(config_default.transformCSS(name, _css));
+      var _props = Object.entries(props).reduce(function(acc, _ref5) {
+        var _ref6 = _slicedToArray$5(_ref5, 2), k = _ref6[0], v2 = _ref6[1];
+        return acc.push("".concat(k, '="').concat(v2, '"')) && acc;
+      }, []).join(" ");
+      css4.push('<style type="text/css" data-primevue-style-id="'.concat(name, '" ').concat(_props, ">").concat(_style, "</style>"));
+    }
+    return css4.join("");
+  }, "getThemeStyleSheet"),
+  extend: /* @__PURE__ */ __name(function extend2(style) {
+    return _objectSpread$i(_objectSpread$i({}, this), {}, {
+      css: void 0,
+      theme: void 0
+    }, style);
+  }, "extend")
+};
+var PrimeVueService = EventBus();
+function _typeof$k(o) {
+  "@babel/helpers - typeof";
+  return _typeof$k = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$k(o);
+}
+__name(_typeof$k, "_typeof$k");
+function ownKeys$h(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$h, "ownKeys$h");
+function _objectSpread$h(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$h(Object(t), true).forEach(function(r2) {
+      _defineProperty$k(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$h(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$h, "_objectSpread$h");
+function _defineProperty$k(e, r, t) {
+  return (r = _toPropertyKey$j(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$k, "_defineProperty$k");
+function _toPropertyKey$j(t) {
+  var i2 = _toPrimitive$j(t, "string");
+  return "symbol" == _typeof$k(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$j, "_toPropertyKey$j");
+function _toPrimitive$j(t, r) {
+  if ("object" != _typeof$k(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$k(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$j, "_toPrimitive$j");
+var defaultOptions$2 = {
+  ripple: false,
+  inputStyle: null,
+  inputVariant: null,
+  locale: {
+    startsWith: "Starts with",
+    contains: "Contains",
+    notContains: "Not contains",
+    endsWith: "Ends with",
+    equals: "Equals",
+    notEquals: "Not equals",
+    noFilter: "No Filter",
+    lt: "Less than",
+    lte: "Less than or equal to",
+    gt: "Greater than",
+    gte: "Greater than or equal to",
+    dateIs: "Date is",
+    dateIsNot: "Date is not",
+    dateBefore: "Date is before",
+    dateAfter: "Date is after",
+    clear: "Clear",
+    apply: "Apply",
+    matchAll: "Match All",
+    matchAny: "Match Any",
+    addRule: "Add Rule",
+    removeRule: "Remove Rule",
+    accept: "Yes",
+    reject: "No",
+    choose: "Choose",
+    upload: "Upload",
+    cancel: "Cancel",
+    completed: "Completed",
+    pending: "Pending",
+    fileSizeTypes: ["B", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB"],
+    dayNames: ["Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"],
+    dayNamesShort: ["Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"],
+    dayNamesMin: ["Su", "Mo", "Tu", "We", "Th", "Fr", "Sa"],
+    monthNames: ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"],
+    monthNamesShort: ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"],
+    chooseYear: "Choose Year",
+    chooseMonth: "Choose Month",
+    chooseDate: "Choose Date",
+    prevDecade: "Previous Decade",
+    nextDecade: "Next Decade",
+    prevYear: "Previous Year",
+    nextYear: "Next Year",
+    prevMonth: "Previous Month",
+    nextMonth: "Next Month",
+    prevHour: "Previous Hour",
+    nextHour: "Next Hour",
+    prevMinute: "Previous Minute",
+    nextMinute: "Next Minute",
+    prevSecond: "Previous Second",
+    nextSecond: "Next Second",
+    am: "am",
+    pm: "pm",
+    today: "Today",
+    weekHeader: "Wk",
+    firstDayOfWeek: 0,
+    showMonthAfterYear: false,
+    dateFormat: "mm/dd/yy",
+    weak: "Weak",
+    medium: "Medium",
+    strong: "Strong",
+    passwordPrompt: "Enter a password",
+    emptyFilterMessage: "No results found",
+    searchMessage: "{0} results are available",
+    selectionMessage: "{0} items selected",
+    emptySelectionMessage: "No selected item",
+    emptySearchMessage: "No results found",
+    fileChosenMessage: "{0} files",
+    noFileChosenMessage: "No file chosen",
+    emptyMessage: "No available options",
+    aria: {
+      trueLabel: "True",
+      falseLabel: "False",
+      nullLabel: "Not Selected",
+      star: "1 star",
+      stars: "{star} stars",
+      selectAll: "All items selected",
+      unselectAll: "All items unselected",
+      close: "Close",
+      previous: "Previous",
+      next: "Next",
+      navigation: "Navigation",
+      scrollTop: "Scroll Top",
+      moveTop: "Move Top",
+      moveUp: "Move Up",
+      moveDown: "Move Down",
+      moveBottom: "Move Bottom",
+      moveToTarget: "Move to Target",
+      moveToSource: "Move to Source",
+      moveAllToTarget: "Move All to Target",
+      moveAllToSource: "Move All to Source",
+      pageLabel: "Page {page}",
+      firstPageLabel: "First Page",
+      lastPageLabel: "Last Page",
+      nextPageLabel: "Next Page",
+      prevPageLabel: "Previous Page",
+      rowsPerPageLabel: "Rows per page",
+      jumpToPageDropdownLabel: "Jump to Page Dropdown",
+      jumpToPageInputLabel: "Jump to Page Input",
+      selectRow: "Row Selected",
+      unselectRow: "Row Unselected",
+      expandRow: "Row Expanded",
+      collapseRow: "Row Collapsed",
+      showFilterMenu: "Show Filter Menu",
+      hideFilterMenu: "Hide Filter Menu",
+      filterOperator: "Filter Operator",
+      filterConstraint: "Filter Constraint",
+      editRow: "Row Edit",
+      saveEdit: "Save Edit",
+      cancelEdit: "Cancel Edit",
+      listView: "List View",
+      gridView: "Grid View",
+      slide: "Slide",
+      slideNumber: "{slideNumber}",
+      zoomImage: "Zoom Image",
+      zoomIn: "Zoom In",
+      zoomOut: "Zoom Out",
+      rotateRight: "Rotate Right",
+      rotateLeft: "Rotate Left",
+      listLabel: "Option List"
+    }
+  },
+  filterMatchModeOptions: {
+    text: [FilterMatchMode.STARTS_WITH, FilterMatchMode.CONTAINS, FilterMatchMode.NOT_CONTAINS, FilterMatchMode.ENDS_WITH, FilterMatchMode.EQUALS, FilterMatchMode.NOT_EQUALS],
+    numeric: [FilterMatchMode.EQUALS, FilterMatchMode.NOT_EQUALS, FilterMatchMode.LESS_THAN, FilterMatchMode.LESS_THAN_OR_EQUAL_TO, FilterMatchMode.GREATER_THAN, FilterMatchMode.GREATER_THAN_OR_EQUAL_TO],
+    date: [FilterMatchMode.DATE_IS, FilterMatchMode.DATE_IS_NOT, FilterMatchMode.DATE_BEFORE, FilterMatchMode.DATE_AFTER]
+  },
+  zIndex: {
+    modal: 1100,
+    overlay: 1e3,
+    menu: 1e3,
+    tooltip: 1100
+  },
+  theme: void 0,
+  unstyled: false,
+  pt: void 0,
+  ptOptions: {
+    mergeSections: true,
+    mergeProps: false
+  },
+  csp: {
+    nonce: void 0
+  }
+};
+var PrimeVueSymbol = Symbol();
+function usePrimeVue() {
+  var PrimeVue2 = inject(PrimeVueSymbol);
+  if (!PrimeVue2) {
+    throw new Error("PrimeVue is not installed!");
+  }
+  return PrimeVue2;
+}
+__name(usePrimeVue, "usePrimeVue");
+function setup(app2, options3) {
+  var PrimeVue2 = {
+    config: reactive(options3)
+  };
+  app2.config.globalProperties.$primevue = PrimeVue2;
+  app2.provide(PrimeVueSymbol, PrimeVue2);
+  clearConfig();
+  setupConfig(app2, PrimeVue2);
+  return PrimeVue2;
+}
+__name(setup, "setup");
+var stopWatchers = [];
+function clearConfig() {
+  service_default.clear();
+  stopWatchers.forEach(function(fn) {
+    return fn === null || fn === void 0 ? void 0 : fn();
+  });
+  stopWatchers = [];
+}
+__name(clearConfig, "clearConfig");
+function setupConfig(app2, PrimeVue2) {
+  var isThemeChanged = ref(false);
+  var loadCommonTheme = /* @__PURE__ */ __name(function loadCommonTheme2() {
+    if (!config_default.isStyleNameLoaded("common")) {
+      var _BaseStyle$getCommonT, _PrimeVue$config;
+      var _ref = ((_BaseStyle$getCommonT = BaseStyle.getCommonTheme) === null || _BaseStyle$getCommonT === void 0 ? void 0 : _BaseStyle$getCommonT.call(BaseStyle)) || {}, primitive = _ref.primitive, semantic = _ref.semantic;
+      var styleOptions = {
+        nonce: (_PrimeVue$config = PrimeVue2.config) === null || _PrimeVue$config === void 0 || (_PrimeVue$config = _PrimeVue$config.csp) === null || _PrimeVue$config === void 0 ? void 0 : _PrimeVue$config.nonce
+      };
+      BaseStyle.load(primitive === null || primitive === void 0 ? void 0 : primitive.css, _objectSpread$h({
+        name: "primitive-variables"
+      }, styleOptions));
+      BaseStyle.load(semantic === null || semantic === void 0 ? void 0 : semantic.css, _objectSpread$h({
+        name: "semantic-variables"
+      }, styleOptions));
+      BaseStyle.loadTheme(_objectSpread$h({
+        name: "global-style"
+      }, styleOptions));
+      config_default.setLoadedStyleName("common");
+    }
+  }, "loadCommonTheme");
+  service_default.on("theme:change", function(newTheme) {
+    if (!isThemeChanged.value) {
+      app2.config.globalProperties.$primevue.config.theme = newTheme;
+      isThemeChanged.value = true;
+    }
+  });
+  var stopConfigWatcher = watch(PrimeVue2.config, function(newValue, oldValue) {
+    PrimeVueService.emit("config:change", {
+      newValue,
+      oldValue
+    });
+  }, {
+    immediate: true,
+    deep: true
+  });
+  var stopRippleWatcher = watch(function() {
+    return PrimeVue2.config.ripple;
+  }, function(newValue, oldValue) {
+    PrimeVueService.emit("config:ripple:change", {
+      newValue,
+      oldValue
+    });
+  }, {
+    immediate: true,
+    deep: true
+  });
+  var stopThemeWatcher = watch(function() {
+    return PrimeVue2.config.theme;
+  }, function(newValue, oldValue) {
+    if (!isThemeChanged.value) {
+      config_default.setTheme(newValue);
+    }
+    if (!PrimeVue2.config.unstyled) {
+      loadCommonTheme();
+    }
+    isThemeChanged.value = false;
+    PrimeVueService.emit("config:theme:change", {
+      newValue,
+      oldValue
+    });
+  }, {
+    immediate: true,
+    deep: true
+  });
+  var stopUnstyledWatcher = watch(function() {
+    return PrimeVue2.config.unstyled;
+  }, function(newValue, oldValue) {
+    if (!newValue && PrimeVue2.config.theme) {
+      loadCommonTheme();
+    }
+    PrimeVueService.emit("config:unstyled:change", {
+      newValue,
+      oldValue
+    });
+  }, {
+    immediate: true,
+    deep: true
+  });
+  stopWatchers.push(stopConfigWatcher);
+  stopWatchers.push(stopRippleWatcher);
+  stopWatchers.push(stopThemeWatcher);
+  stopWatchers.push(stopUnstyledWatcher);
+}
+__name(setupConfig, "setupConfig");
+var PrimeVue = {
+  install: /* @__PURE__ */ __name(function install2(app2, options3) {
+    var configOptions = _objectSpread$h(_objectSpread$h({}, defaultOptions$2), options3);
+    setup(app2, configOptions);
+  }, "install")
+};
+var index$1l = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  panel: {
+    borderWidth: "0 0 1px 0",
+    borderColor: "{content.border.color}"
+  },
+  header: {
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    activeColor: "{text.color}",
+    padding: "1.125rem",
+    fontWeight: "600",
+    borderRadius: "0",
+    borderWidth: "0",
+    borderColor: "{content.border.color}",
+    background: "{content.background}",
+    hoverBackground: "{content.background}",
+    activeBackground: "{content.background}",
+    activeHoverBackground: "{content.background}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    },
+    toggleIcon: {
+      color: "{text.muted.color}",
+      hoverColor: "{text.color}",
+      activeColor: "{text.color}",
+      activeHoverColor: "{text.color}"
+    },
+    first: {
+      topBorderRadius: "{content.border.radius}",
+      borderWidth: "0"
+    },
+    last: {
+      bottomBorderRadius: "{content.border.radius}",
+      activeBottomBorderRadius: "0"
+    }
+  },
+  content: {
+    borderWidth: "0",
+    borderColor: "{content.border.color}",
+    background: "{content.background}",
+    color: "{text.color}",
+    padding: "0 1.125rem 1.125rem 1.125rem"
+  }
+};
+var index$1k = {
+  root: {
+    background: "{form.field.background}",
+    disabledBackground: "{form.field.disabled.background}",
+    filledBackground: "{form.field.filled.background}",
+    filledFocusBackground: "{form.field.filled.focus.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.focus.border.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    color: "{form.field.color}",
+    disabledColor: "{form.field.disabled.color}",
+    placeholderColor: "{form.field.placeholder.color}",
+    shadow: "{form.field.shadow}",
+    paddingX: "{form.field.padding.x}",
+    paddingY: "{form.field.padding.y}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{form.field.focus.ring.width}",
+      style: "{form.field.focus.ring.style}",
+      color: "{form.field.focus.ring.color}",
+      offset: "{form.field.focus.ring.offset}",
+      shadow: "{form.field.focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  overlay: {
+    background: "{overlay.select.background}",
+    borderColor: "{overlay.select.border.color}",
+    borderRadius: "{overlay.select.border.radius}",
+    color: "{overlay.select.color}",
+    shadow: "{overlay.select.shadow}"
+  },
+  list: {
+    padding: "{list.padding}",
+    gap: "{list.gap}"
+  },
+  option: {
+    focusBackground: "{list.option.focus.background}",
+    selectedBackground: "{list.option.selected.background}",
+    selectedFocusBackground: "{list.option.selected.focus.background}",
+    color: "{list.option.color}",
+    focusColor: "{list.option.focus.color}",
+    selectedColor: "{list.option.selected.color}",
+    selectedFocusColor: "{list.option.selected.focus.color}",
+    padding: "{list.option.padding}",
+    borderRadius: "{list.option.border.radius}"
+  },
+  optionGroup: {
+    background: "{list.option.group.background}",
+    color: "{list.option.group.color}",
+    fontWeight: "{list.option.group.font.weight}",
+    padding: "{list.option.group.padding}"
+  },
+  dropdown: {
+    width: "2.5rem",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.border.color}",
+    activeBorderColor: "{form.field.border.color}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  chip: {
+    borderRadius: "{border.radius.sm}"
+  },
+  emptyMessage: {
+    padding: "{list.option.padding}"
+  },
+  colorScheme: {
+    light: {
+      dropdown: {
+        background: "{surface.100}",
+        hoverBackground: "{surface.200}",
+        activeBackground: "{surface.300}",
+        color: "{surface.600}",
+        hoverColor: "{surface.700}",
+        activeColor: "{surface.800}"
+      }
+    },
+    dark: {
+      dropdown: {
+        background: "{surface.800}",
+        hoverBackground: "{surface.700}",
+        activeBackground: "{surface.600}",
+        color: "{surface.300}",
+        hoverColor: "{surface.200}",
+        activeColor: "{surface.100}"
+      }
+    }
+  }
+};
+var index$1j = {
+  root: {
+    width: "2rem",
+    height: "2rem",
+    fontSize: "1rem",
+    background: "{content.border.color}",
+    borderRadius: "{content.border.radius}"
+  },
+  group: {
+    borderColor: "{content.background}",
+    offset: "-1rem"
+  },
+  lg: {
+    width: "3rem",
+    height: "3rem",
+    fontSize: "1.5rem"
+  },
+  xl: {
+    width: "4rem",
+    height: "4rem",
+    fontSize: "2rem"
+  }
+};
+var index$1i = {
+  root: {
+    borderRadius: "{border.radius.md}",
+    padding: "0 0.5rem",
+    fontSize: "0.75rem",
+    fontWeight: "700",
+    minWidth: "1.5rem",
+    height: "1.5rem"
+  },
+  dot: {
+    size: "0.5rem"
+  },
+  sm: {
+    fontSize: "0.625rem",
+    minWidth: "1.25rem",
+    height: "1.25rem"
+  },
+  lg: {
+    fontSize: "0.875rem",
+    minWidth: "1.75rem",
+    height: "1.75rem"
+  },
+  xl: {
+    fontSize: "1rem",
+    minWidth: "2rem",
+    height: "2rem"
+  },
+  colorScheme: {
+    light: {
+      primary: {
+        background: "{primary.color}",
+        color: "{primary.contrast.color}"
+      },
+      secondary: {
+        background: "{surface.100}",
+        color: "{surface.600}"
+      },
+      success: {
+        background: "{green.500}",
+        color: "{surface.0}"
+      },
+      info: {
+        background: "{sky.500}",
+        color: "{surface.0}"
+      },
+      warn: {
+        background: "{orange.500}",
+        color: "{surface.0}"
+      },
+      danger: {
+        background: "{red.500}",
+        color: "{surface.0}"
+      },
+      contrast: {
+        background: "{surface.950}",
+        color: "{surface.0}"
+      }
+    },
+    dark: {
+      primary: {
+        background: "{primary.color}",
+        color: "{primary.contrast.color}"
+      },
+      secondary: {
+        background: "{surface.800}",
+        color: "{surface.300}"
+      },
+      success: {
+        background: "{green.400}",
+        color: "{green.950}"
+      },
+      info: {
+        background: "{sky.400}",
+        color: "{sky.950}"
+      },
+      warn: {
+        background: "{orange.400}",
+        color: "{orange.950}"
+      },
+      danger: {
+        background: "{red.400}",
+        color: "{red.950}"
+      },
+      contrast: {
+        background: "{surface.0}",
+        color: "{surface.950}"
+      }
+    }
+  }
+};
+var index$1h = {
+  root: {
+    borderRadius: "{content.border.radius}"
+  }
+};
+var index$1g = {
+  root: {
+    padding: "1rem",
+    background: "{content.background}",
+    gap: "0.5rem",
+    transitionDuration: "{transition.duration}"
+  },
+  item: {
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    iconColor: "{navigation.item.icon.color}",
+    borderRadius: "{content.border.radius}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  separator: {
+    color: "{navigation.item.icon.color}"
+  }
+};
+var index$1f = {
+  root: {
+    borderRadius: "{form.field.border.radius}",
+    roundedBorderRadius: "2rem",
+    gap: "0.5rem",
+    paddingX: "{form.field.padding.x}",
+    paddingY: "{form.field.padding.y}",
+    iconOnlyWidth: "2.5rem",
+    sm: {
+      fontSize: "0.875rem",
+      paddingX: "0.625rem",
+      paddingY: "0.375rem"
+    },
+    lg: {
+      fontSize: "1.125rem",
+      paddingX: "0.875rem",
+      paddingY: "0.625rem"
+    },
+    label: {
+      fontWeight: "500"
+    },
+    raisedShadow: "0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 1px 5px 0 rgba(0, 0, 0, 0.12)",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      offset: "{focus.ring.offset}"
+    },
+    badgeSize: "1rem",
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  colorScheme: {
+    light: {
+      root: {
+        primary: {
+          background: "{primary.color}",
+          hoverBackground: "{primary.hover.color}",
+          activeBackground: "{primary.active.color}",
+          borderColor: "{primary.color}",
+          hoverBorderColor: "{primary.hover.color}",
+          activeBorderColor: "{primary.active.color}",
+          color: "{primary.contrast.color}",
+          hoverColor: "{primary.contrast.color}",
+          activeColor: "{primary.contrast.color}",
+          focusRing: {
+            color: "{primary.color}",
+            shadow: "none"
+          }
+        },
+        secondary: {
+          background: "{surface.100}",
+          hoverBackground: "{surface.200}",
+          activeBackground: "{surface.300}",
+          borderColor: "{surface.100}",
+          hoverBorderColor: "{surface.200}",
+          activeBorderColor: "{surface.300}",
+          color: "{surface.600}",
+          hoverColor: "{surface.700}",
+          activeColor: "{surface.800}",
+          focusRing: {
+            color: "{surface.600}",
+            shadow: "none"
+          }
+        },
+        info: {
+          background: "{sky.500}",
+          hoverBackground: "{sky.600}",
+          activeBackground: "{sky.700}",
+          borderColor: "{sky.500}",
+          hoverBorderColor: "{sky.600}",
+          activeBorderColor: "{sky.700}",
+          color: "#ffffff",
+          hoverColor: "#ffffff",
+          activeColor: "#ffffff",
+          focusRing: {
+            color: "{sky.500}",
+            shadow: "none"
+          }
+        },
+        success: {
+          background: "{green.500}",
+          hoverBackground: "{green.600}",
+          activeBackground: "{green.700}",
+          borderColor: "{green.500}",
+          hoverBorderColor: "{green.600}",
+          activeBorderColor: "{green.700}",
+          color: "#ffffff",
+          hoverColor: "#ffffff",
+          activeColor: "#ffffff",
+          focusRing: {
+            color: "{green.500}",
+            shadow: "none"
+          }
+        },
+        warn: {
+          background: "{orange.500}",
+          hoverBackground: "{orange.600}",
+          activeBackground: "{orange.700}",
+          borderColor: "{orange.500}",
+          hoverBorderColor: "{orange.600}",
+          activeBorderColor: "{orange.700}",
+          color: "#ffffff",
+          hoverColor: "#ffffff",
+          activeColor: "#ffffff",
+          focusRing: {
+            color: "{orange.500}",
+            shadow: "none"
+          }
+        },
+        help: {
+          background: "{purple.500}",
+          hoverBackground: "{purple.600}",
+          activeBackground: "{purple.700}",
+          borderColor: "{purple.500}",
+          hoverBorderColor: "{purple.600}",
+          activeBorderColor: "{purple.700}",
+          color: "#ffffff",
+          hoverColor: "#ffffff",
+          activeColor: "#ffffff",
+          focusRing: {
+            color: "{purple.500}",
+            shadow: "none"
+          }
+        },
+        danger: {
+          background: "{red.500}",
+          hoverBackground: "{red.600}",
+          activeBackground: "{red.700}",
+          borderColor: "{red.500}",
+          hoverBorderColor: "{red.600}",
+          activeBorderColor: "{red.700}",
+          color: "#ffffff",
+          hoverColor: "#ffffff",
+          activeColor: "#ffffff",
+          focusRing: {
+            color: "{red.500}",
+            shadow: "none"
+          }
+        },
+        contrast: {
+          background: "{surface.950}",
+          hoverBackground: "{surface.900}",
+          activeBackground: "{surface.800}",
+          borderColor: "{surface.950}",
+          hoverBorderColor: "{surface.900}",
+          activeBorderColor: "{surface.800}",
+          color: "{surface.0}",
+          hoverColor: "{surface.0}",
+          activeColor: "{surface.0}",
+          focusRing: {
+            color: "{surface.950}",
+            shadow: "none"
+          }
+        }
+      },
+      outlined: {
+        primary: {
+          hoverBackground: "{primary.50}",
+          activeBackground: "{primary.100}",
+          borderColor: "{primary.200}",
+          color: "{primary.color}"
+        },
+        secondary: {
+          hoverBackground: "{surface.50}",
+          activeBackground: "{surface.100}",
+          borderColor: "{surface.200}",
+          color: "{surface.500}"
+        },
+        success: {
+          hoverBackground: "{green.50}",
+          activeBackground: "{green.100}",
+          borderColor: "{green.200}",
+          color: "{green.500}"
+        },
+        info: {
+          hoverBackground: "{sky.50}",
+          activeBackground: "{sky.100}",
+          borderColor: "{sky.200}",
+          color: "{sky.500}"
+        },
+        warn: {
+          hoverBackground: "{orange.50}",
+          activeBackground: "{orange.100}",
+          borderColor: "{orange.200}",
+          color: "{orange.500}"
+        },
+        help: {
+          hoverBackground: "{purple.50}",
+          activeBackground: "{purple.100}",
+          borderColor: "{purple.200}",
+          color: "{purple.500}"
+        },
+        danger: {
+          hoverBackground: "{red.50}",
+          activeBackground: "{red.100}",
+          borderColor: "{red.200}",
+          color: "{red.500}"
+        },
+        contrast: {
+          hoverBackground: "{surface.50}",
+          activeBackground: "{surface.100}",
+          borderColor: "{surface.700}",
+          color: "{surface.950}"
+        },
+        plain: {
+          hoverBackground: "{surface.50}",
+          activeBackground: "{surface.100}",
+          borderColor: "{surface.200}",
+          color: "{surface.700}"
+        }
+      },
+      text: {
+        primary: {
+          hoverBackground: "{primary.50}",
+          activeBackground: "{primary.100}",
+          color: "{primary.color}"
+        },
+        secondary: {
+          hoverBackground: "{surface.50}",
+          activeBackground: "{surface.100}",
+          color: "{surface.500}"
+        },
+        success: {
+          hoverBackground: "{green.50}",
+          activeBackground: "{green.100}",
+          color: "{green.500}"
+        },
+        info: {
+          hoverBackground: "{sky.50}",
+          activeBackground: "{sky.100}",
+          color: "{sky.500}"
+        },
+        warn: {
+          hoverBackground: "{orange.50}",
+          activeBackground: "{orange.100}",
+          color: "{orange.500}"
+        },
+        help: {
+          hoverBackground: "{purple.50}",
+          activeBackground: "{purple.100}",
+          color: "{purple.500}"
+        },
+        danger: {
+          hoverBackground: "{red.50}",
+          activeBackground: "{red.100}",
+          color: "{red.500}"
+        },
+        plain: {
+          hoverBackground: "{surface.50}",
+          activeBackground: "{surface.100}",
+          color: "{surface.700}"
+        }
+      },
+      link: {
+        color: "{primary.color}",
+        hoverColor: "{primary.color}",
+        activeColor: "{primary.color}"
+      }
+    },
+    dark: {
+      root: {
+        primary: {
+          background: "{primary.color}",
+          hoverBackground: "{primary.hover.color}",
+          activeBackground: "{primary.active.color}",
+          borderColor: "{primary.color}",
+          hoverBorderColor: "{primary.hover.color}",
+          activeBorderColor: "{primary.active.color}",
+          color: "{primary.contrast.color}",
+          hoverColor: "{primary.contrast.color}",
+          activeColor: "{primary.contrast.color}",
+          focusRing: {
+            color: "{primary.color}",
+            shadow: "none"
+          }
+        },
+        secondary: {
+          background: "{surface.800}",
+          hoverBackground: "{surface.700}",
+          activeBackground: "{surface.600}",
+          borderColor: "{surface.800}",
+          hoverBorderColor: "{surface.700}",
+          activeBorderColor: "{surface.600}",
+          color: "{surface.300}",
+          hoverColor: "{surface.200}",
+          activeColor: "{surface.100}",
+          focusRing: {
+            color: "{surface.300}",
+            shadow: "none"
+          }
+        },
+        info: {
+          background: "{sky.400}",
+          hoverBackground: "{sky.300}",
+          activeBackground: "{sky.200}",
+          borderColor: "{sky.400}",
+          hoverBorderColor: "{sky.300}",
+          activeBorderColor: "{sky.200}",
+          color: "{sky.950}",
+          hoverColor: "{sky.950}",
+          activeColor: "{sky.950}",
+          focusRing: {
+            color: "{sky.400}",
+            shadow: "none"
+          }
+        },
+        success: {
+          background: "{green.400}",
+          hoverBackground: "{green.300}",
+          activeBackground: "{green.200}",
+          borderColor: "{green.400}",
+          hoverBorderColor: "{green.300}",
+          activeBorderColor: "{green.200}",
+          color: "{green.950}",
+          hoverColor: "{green.950}",
+          activeColor: "{green.950}",
+          focusRing: {
+            color: "{green.400}",
+            shadow: "none"
+          }
+        },
+        warn: {
+          background: "{orange.400}",
+          hoverBackground: "{orange.300}",
+          activeBackground: "{orange.200}",
+          borderColor: "{orange.400}",
+          hoverBorderColor: "{orange.300}",
+          activeBorderColor: "{orange.200}",
+          color: "{orange.950}",
+          hoverColor: "{orange.950}",
+          activeColor: "{orange.950}",
+          focusRing: {
+            color: "{orange.400}",
+            shadow: "none"
+          }
+        },
+        help: {
+          background: "{purple.400}",
+          hoverBackground: "{purple.300}",
+          activeBackground: "{purple.200}",
+          borderColor: "{purple.400}",
+          hoverBorderColor: "{purple.300}",
+          activeBorderColor: "{purple.200}",
+          color: "{purple.950}",
+          hoverColor: "{purple.950}",
+          activeColor: "{purple.950}",
+          focusRing: {
+            color: "{purple.400}",
+            shadow: "none"
+          }
+        },
+        danger: {
+          background: "{red.400}",
+          hoverBackground: "{red.300}",
+          activeBackground: "{red.200}",
+          borderColor: "{red.400}",
+          hoverBorderColor: "{red.300}",
+          activeBorderColor: "{red.200}",
+          color: "{red.950}",
+          hoverColor: "{red.950}",
+          activeColor: "{red.950}",
+          focusRing: {
+            color: "{red.400}",
+            shadow: "none"
+          }
+        },
+        contrast: {
+          background: "{surface.0}",
+          hoverBackground: "{surface.100}",
+          activeBackground: "{surface.200}",
+          borderColor: "{surface.0}",
+          hoverBorderColor: "{surface.100}",
+          activeBorderColor: "{surface.200}",
+          color: "{surface.950}",
+          hoverColor: "{surface.950}",
+          activeColor: "{surface.950}",
+          focusRing: {
+            color: "{surface.0}",
+            shadow: "none"
+          }
+        }
+      },
+      outlined: {
+        primary: {
+          hoverBackground: "color-mix(in srgb, {primary.color}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {primary.color}, transparent 84%)",
+          borderColor: "{primary.700}",
+          color: "{primary.color}"
+        },
+        secondary: {
+          hoverBackground: "rgba(255,255,255,0.04)",
+          activeBackground: "rgba(255,255,255,0.16)",
+          borderColor: "{surface.700}",
+          color: "{surface.400}"
+        },
+        success: {
+          hoverBackground: "color-mix(in srgb, {green.400}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {green.400}, transparent 84%)",
+          borderColor: "{green.700}",
+          color: "{green.400}"
+        },
+        info: {
+          hoverBackground: "color-mix(in srgb, {sky.400}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {sky.400}, transparent 84%)",
+          borderColor: "{sky.700}",
+          color: "{sky.400}"
+        },
+        warn: {
+          hoverBackground: "color-mix(in srgb, {orange.400}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {orange.400}, transparent 84%)",
+          borderColor: "{orange.700}",
+          color: "{orange.400}"
+        },
+        help: {
+          hoverBackground: "color-mix(in srgb, {help.400}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {help.400}, transparent 84%)",
+          borderColor: "{purple.700}",
+          color: "{purple.400}"
+        },
+        danger: {
+          hoverBackground: "color-mix(in srgb, {danger.400}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {danger.400}, transparent 84%)",
+          borderColor: "{red.700}",
+          color: "{red.400}"
+        },
+        contrast: {
+          hoverBackground: "{surface.800}",
+          activeBackground: "{surface.700}",
+          borderColor: "{surface.500}",
+          color: "{surface.0}"
+        },
+        plain: {
+          hoverBackground: "{surface.800}",
+          activeBackground: "{surface.700}",
+          borderColor: "{surface.600}",
+          color: "{surface.0}"
+        }
+      },
+      text: {
+        primary: {
+          hoverBackground: "color-mix(in srgb, {primary.color}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {primary.color}, transparent 84%)",
+          color: "{primary.color}"
+        },
+        secondary: {
+          hoverBackground: "{surface.800}",
+          activeBackground: "{surface.700}",
+          color: "{surface.400}"
+        },
+        success: {
+          hoverBackground: "color-mix(in srgb, {green.400}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {green.400}, transparent 84%)",
+          color: "{green.400}"
+        },
+        info: {
+          hoverBackground: "color-mix(in srgb, {sky.400}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {sky.400}, transparent 84%)",
+          color: "{sky.400}"
+        },
+        warn: {
+          hoverBackground: "color-mix(in srgb, {orange.400}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {orange.400}, transparent 84%)",
+          color: "{orange.400}"
+        },
+        help: {
+          hoverBackground: "color-mix(in srgb, {purple.400}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {purple.400}, transparent 84%)",
+          color: "{purple.400}"
+        },
+        danger: {
+          hoverBackground: "color-mix(in srgb, {red.400}, transparent 96%)",
+          activeBackground: "color-mix(in srgb, {red.400}, transparent 84%)",
+          color: "{red.400}"
+        },
+        plain: {
+          hoverBackground: "{surface.800}",
+          activeBackground: "{surface.700}",
+          color: "{surface.0}"
+        }
+      },
+      link: {
+        color: "{primary.color}",
+        hoverColor: "{primary.color}",
+        activeColor: "{primary.color}"
+      }
+    }
+  }
+};
+var index$1e = {
+  root: {
+    background: "{content.background}",
+    borderRadius: "{border.radius.xl}",
+    color: "{content.color}",
+    shadow: "0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px -1px rgba(0, 0, 0, 0.1)"
+  },
+  body: {
+    padding: "1.25rem",
+    gap: "0.5rem"
+  },
+  caption: {
+    gap: "0.5rem"
+  },
+  title: {
+    fontSize: "1.25rem",
+    fontWeight: "500"
+  },
+  subtitle: {
+    color: "{text.muted.color}"
+  }
+};
+var index$1d = {
+  root: {
+    indicatorList: {
+      padding: "1rem",
+      gap: "0.5rem"
+    },
+    indicator: {
+      width: "2rem",
+      height: "0.5rem",
+      borderRadius: "{content.border.radius}",
+      focusRing: {
+        width: "{focus.ring.width}",
+        style: "{focus.ring.style}",
+        color: "{focus.ring.color}",
+        offset: "{focus.ring.offset}",
+        shadow: "{focus.ring.shadow}"
+      }
+    },
+    transitionDuration: "{transition.duration}"
+  },
+  colorScheme: {
+    light: {
+      indicator: {
+        background: "{surface.200}",
+        hoverBackground: "{surface.300}",
+        activeBackground: "{primary.color}"
+      }
+    },
+    dark: {
+      indicator: {
+        background: "{surface.700}",
+        hoverBackground: "{surface.600}",
+        activeBackground: "{primary.color}"
+      }
+    }
+  }
+};
+var index$1c = {
+  root: {
+    background: "{form.field.background}",
+    disabledBackground: "{form.field.disabled.background}",
+    filledBackground: "{form.field.filled.background}",
+    filledFocusBackground: "{form.field.filled.focus.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.focus.border.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    color: "{form.field.color}",
+    disabledColor: "{form.field.disabled.color}",
+    placeholderColor: "{form.field.placeholder.color}",
+    shadow: "{form.field.shadow}",
+    paddingX: "{form.field.padding.x}",
+    paddingY: "{form.field.padding.y}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{form.field.focus.ring.width}",
+      style: "{form.field.focus.ring.style}",
+      color: "{form.field.focus.ring.color}",
+      offset: "{form.field.focus.ring.offset}",
+      shadow: "{form.field.focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  dropdown: {
+    width: "2.5rem",
+    color: "{form.field.icon.color}"
+  },
+  overlay: {
+    background: "{overlay.select.background}",
+    borderColor: "{overlay.select.border.color}",
+    borderRadius: "{overlay.select.border.radius}",
+    color: "{overlay.select.color}",
+    shadow: "{overlay.select.shadow}"
+  },
+  list: {
+    padding: "{list.padding}",
+    gap: "{list.gap}"
+  },
+  option: {
+    focusBackground: "{list.option.focus.background}",
+    selectedBackground: "{list.option.selected.background}",
+    selectedFocusBackground: "{list.option.selected.focus.background}",
+    color: "{list.option.color}",
+    focusColor: "{list.option.focus.color}",
+    selectedColor: "{list.option.selected.color}",
+    selectedFocusColor: "{list.option.selected.focus.color}",
+    padding: "{list.option.padding}",
+    borderRadius: "{list.option.border.radius}",
+    icon: {
+      color: "{list.option.icon.color}",
+      focusColor: "{list.option.icon.focus.color}",
+      size: "0.875rem"
+    }
+  }
+};
+var index$1b = {
+  root: {
+    borderRadius: "{border.radius.sm}",
+    width: "1.25rem",
+    height: "1.25rem",
+    background: "{form.field.background}",
+    checkedBackground: "{primary.color}",
+    checkedHoverBackground: "{primary.hover.color}",
+    disabledBackground: "{form.field.disabled.background}",
+    filledBackground: "{form.field.filled.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.border.color}",
+    checkedBorderColor: "{primary.color}",
+    checkedHoverBorderColor: "{primary.hover.color}",
+    checkedFocusBorderColor: "{primary.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    shadow: "{form.field.shadow}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  icon: {
+    size: "0.875rem",
+    color: "{form.field.color}",
+    checkedColor: "{primary.contrast.color}",
+    checkedHoverColor: "{primary.contrast.color}",
+    disabledColor: "{form.field.disabled.color}"
+  }
+};
+var index$1a = {
+  root: {
+    borderRadius: "16px",
+    paddingX: "0.75rem",
+    paddingY: "0.5rem",
+    gap: "0.5rem",
+    transitionDuration: "{transition.duration}"
+  },
+  image: {
+    width: "2rem",
+    height: "2rem"
+  },
+  icon: {
+    size: "1rem"
+  },
+  removeIcon: {
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{form.field.focus.ring.shadow}"
+    }
+  },
+  colorScheme: {
+    light: {
+      root: {
+        background: "{surface.100}",
+        color: "{surface.800}"
+      },
+      icon: {
+        color: "{surface.800}"
+      },
+      removeIcon: {
+        color: "{surface.800}"
+      }
+    },
+    dark: {
+      root: {
+        background: "{surface.800}",
+        color: "{surface.0}"
+      },
+      icon: {
+        color: "{surface.0}"
+      },
+      removeIcon: {
+        color: "{surfaec.0}"
+      }
+    }
+  }
+};
+var index$19 = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  preview: {
+    width: "1.5rem",
+    height: "1.5rem",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  panel: {
+    shadow: "{overlay.popover.shadow}",
+    borderRadius: "{overlay.popover.borderRadius}"
+  },
+  colorScheme: {
+    light: {
+      panel: {
+        background: "{surface.800}",
+        borderColor: "{surface.900}"
+      },
+      handle: {
+        color: "{surface.0}"
+      }
+    },
+    dark: {
+      panel: {
+        background: "{surface.900}",
+        borderColor: "{surface.700}"
+      },
+      handle: {
+        color: "{surface.0}"
+      }
+    }
+  }
+};
+var index$18 = {
+  icon: {
+    size: "2rem",
+    color: "{overlay.modal.color}"
+  },
+  content: {
+    gap: "1rem"
+  }
+};
+var index$17 = {
+  root: {
+    background: "{overlay.popover.background}",
+    borderColor: "{overlay.popover.border.color}",
+    color: "{overlay.popover.color}",
+    borderRadius: "{overlay.popover.border.radius}",
+    shadow: "{overlay.popover.shadow}",
+    gutter: "10px",
+    arrowOffset: "1.25rem"
+  },
+  content: {
+    padding: "{overlay.popover.padding}",
+    gap: "1rem"
+  },
+  icon: {
+    size: "1.5rem",
+    color: "{overlay.popover.color}"
+  },
+  footer: {
+    gap: "0.5rem",
+    padding: "0 {overlay.popover.padding} {overlay.popover.padding} {overlay.popover.padding}"
+  }
+};
+var index$16 = {
+  root: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    color: "{content.color}",
+    borderRadius: "{content.border.radius}",
+    shadow: "{overlay.navigation.shadow}",
+    transitionDuration: "{transition.duration}"
+  },
+  list: {
+    padding: "{navigation.list.padding}",
+    gap: "{navigation.list.gap}"
+  },
+  item: {
+    focusBackground: "{navigation.item.focus.background}",
+    activeBackground: "{navigation.item.active.background}",
+    color: "{navigation.item.color}",
+    focusColor: "{navigation.item.focus.color}",
+    activeColor: "{navigation.item.active.color}",
+    padding: "{navigation.item.padding}",
+    borderRadius: "{navigation.item.border.radius}",
+    gap: "{navigation.item.gap}",
+    icon: {
+      color: "{navigation.item.icon.color}",
+      focusColor: "{navigation.item.icon.focus.color}",
+      activeColor: "{navigation.item.icon.active.color}"
+    }
+  },
+  submenuIcon: {
+    size: "{navigation.submenu.icon.size}",
+    color: "{navigation.submenu.icon.color}",
+    focusColor: "{navigation.submenu.icon.focus.color}",
+    activeColor: "{navigation.submenu.icon.active.color}"
+  },
+  separator: {
+    borderColor: "{content.border.color}"
+  }
+};
+var index$15 = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  header: {
+    background: "{content.background}",
+    borderColor: "{datatable.border.color}",
+    color: "{content.color}",
+    borderWidth: "0 0 1px 0",
+    padding: "0.75rem 1rem"
+  },
+  headerCell: {
+    background: "{content.background}",
+    hoverBackground: "{content.hover.background}",
+    selectedBackground: "{highlight.background}",
+    borderColor: "{datatable.border.color}",
+    color: "{content.color}",
+    hoverColor: "{content.hover.color}",
+    selectedColor: "{highlight.color}",
+    gap: "0.5rem",
+    padding: "0.75rem 1rem",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "-1px",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  columnTitle: {
+    fontWeight: "600"
+  },
+  row: {
+    background: "{content.background}",
+    hoverBackground: "{content.hover.background}",
+    selectedBackground: "{highlight.background}",
+    color: "{content.color}",
+    hoverColor: "{content.hover.color}",
+    selectedColor: "{highlight.color}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "-1px",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  bodyCell: {
+    borderColor: "{datatable.border.color}",
+    padding: "0.75rem 1rem"
+  },
+  footerCell: {
+    background: "{content.background}",
+    borderColor: "{datatable.border.color}",
+    color: "{content.color}",
+    padding: "0.75rem 1rem"
+  },
+  columnFooter: {
+    fontWeight: "600"
+  },
+  footer: {
+    background: "{content.background}",
+    borderColor: "{datatable.border.color}",
+    color: "{content.color}",
+    borderWidth: "0 0 1px 0",
+    padding: "0.75rem 1rem"
+  },
+  dropPointColor: "{primary.color}",
+  columnResizerWidth: "0.5rem",
+  resizeIndicator: {
+    width: "1px",
+    color: "{primary.color}"
+  },
+  sortIcon: {
+    color: "{text.muted.color}",
+    hoverColor: "{text.hover.muted.color}"
+  },
+  loadingIcon: {
+    size: "2rem"
+  },
+  rowToggleButton: {
+    hoverBackground: "{content.hover.background}",
+    selectedHoverBackground: "{content.background}",
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    selectedHoverColor: "{primary.color}",
+    size: "1.75rem",
+    borderRadius: "50%",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  filter: {
+    inlineGap: "0.5rem",
+    overlaySelect: {
+      background: "{overlay.select.background}",
+      borderColor: "{overlay.select.border.color}",
+      borderRadius: "{overlay.select.border.radius}",
+      color: "{overlay.select.color}",
+      shadow: "{overlay.select.shadow}"
+    },
+    overlayPopover: {
+      background: "{overlay.popover.background}",
+      borderColor: "{overlay.popover.border.color}",
+      borderRadius: "{overlay.popover.border.radius}",
+      color: "{overlay.popover.color}",
+      shadow: "{overlay.popover.shadow}",
+      padding: "{overlay.popover.padding}",
+      gap: "0.5rem"
+    },
+    rule: {
+      borderColor: "{content.border.color}"
+    },
+    constraintList: {
+      padding: "{list.padding}",
+      gap: "{list.gap}"
+    },
+    constraint: {
+      focusBackground: "{list.option.focus.background}",
+      selectedBackground: "{list.option.selected.background}",
+      selectedFocusBackground: "{list.option.selected.focus.background}",
+      color: "{list.option.color}",
+      focusColor: "{list.option.focus.color}",
+      selectedColor: "{list.option.selected.color}",
+      selectedFocusColor: "{list.option.selected.focus.color}",
+      separator: {
+        borderColor: "{content.border.color}"
+      },
+      padding: "{list.option.padding}",
+      borderRadius: "{list.option.border.radius}"
+    }
+  },
+  paginatorTop: {
+    borderColor: "{datatable.border.color}",
+    borderWidth: "0 0 1px 0"
+  },
+  paginatorBottom: {
+    borderColor: "{datatable.border.color}",
+    borderWidth: "0 0 1px 0"
+  },
+  colorScheme: {
+    light: {
+      root: {
+        borderColor: "{content.border.color}"
+      },
+      row: {
+        stripedBackground: "{surface.50}"
+      },
+      bodyCell: {
+        selectedBorderColor: "{primary.100}"
+      }
+    },
+    dark: {
+      root: {
+        borderColor: "{surface.800}"
+      },
+      row: {
+        stripedBackground: "{surface.950}"
+      },
+      bodyCell: {
+        selectedBorderColor: "{primary.900}"
+      }
+    }
+  }
+};
+var index$14 = {
+  root: {
+    borderColor: "transparent",
+    borderWidth: "0",
+    borderRadius: "0",
+    padding: "0"
+  },
+  header: {
+    background: "{content.background}",
+    color: "{content.color}",
+    borderColor: "{content.border.color}",
+    borderWidth: "0 0 1px 0",
+    padding: "0.75rem 1rem",
+    borderRadius: "0"
+  },
+  content: {
+    background: "{content.background}",
+    color: "{content.color}",
+    borderColor: "transparent",
+    borderWidth: "0",
+    padding: "0",
+    borderRadius: "0"
+  },
+  footer: {
+    background: "{content.background}",
+    color: "{content.color}",
+    borderColor: "{content.border.color}",
+    borderWidth: "1px 0 0 0",
+    padding: "0.75rem 1rem",
+    borderRadius: "0"
+  },
+  paginatorTop: {
+    borderColor: "{content.border.color}",
+    borderWidth: "0 0 1px 0"
+  },
+  paginatorBottom: {
+    borderColor: "{content.border.color}",
+    borderWidth: "1px 0 0 0"
+  }
+};
+var index$13 = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  panel: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    color: "{content.color}",
+    borderRadius: "{content.border.radius}",
+    shadow: "{overlay.popover.shadow}",
+    padding: "{overlay.popover.padding}"
+  },
+  header: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    color: "{content.color}",
+    padding: "0 0 0.5rem 0",
+    fontWeight: "500",
+    gap: "0.5rem"
+  },
+  title: {
+    gap: "0.5rem",
+    fontWeight: "500"
+  },
+  dropdown: {
+    width: "2.5rem",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.border.color}",
+    activeBorderColor: "{form.field.border.color}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  inputIcon: {
+    color: "{form.field.icon.color}"
+  },
+  selectMonth: {
+    hoverBackground: "{content.hover.background}",
+    color: "{content.color}",
+    hoverColor: "{content.hover.color}",
+    padding: "0.25rem 0.5rem",
+    borderRadius: "{content.border.radius}"
+  },
+  selectYear: {
+    hoverBackground: "{content.hover.background}",
+    color: "{content.color}",
+    hoverColor: "{content.hover.color}",
+    padding: "0.25rem 0.5rem",
+    borderRadius: "{content.border.radius}"
+  },
+  group: {
+    borderColor: "{content.border.color}",
+    gap: "{overlay.popover.padding}"
+  },
+  dayView: {
+    margin: "0.5rem 0 0 0"
+  },
+  weekDay: {
+    padding: "0.25rem",
+    fontWeight: "500",
+    color: "{content.color}"
+  },
+  date: {
+    hoverBackground: "{content.hover.background}",
+    selectedBackground: "{primary.color}",
+    rangeSelectedBackground: "{highlight.background}",
+    color: "{content.color}",
+    hoverColor: "{content.hover.color}",
+    selectedColor: "{primary.contrast.color}",
+    rangeSelectedColor: "{highlight.color}",
+    width: "2rem",
+    height: "2rem",
+    borderRadius: "50%",
+    padding: "0.25rem",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  monthView: {
+    margin: "0.5rem 0 0 0"
+  },
+  month: {
+    borderRadius: "{content.border.radius}"
+  },
+  yearView: {
+    margin: "0.5rem 0 0 0"
+  },
+  year: {
+    borderRadius: "{content.border.radius}"
+  },
+  buttonbar: {
+    padding: "0.5rem 0 0 0",
+    borderColor: "{content.border.color}"
+  },
+  timePicker: {
+    padding: "0.5rem 0 0 0",
+    borderColor: "{content.border.color}",
+    gap: "0.5rem",
+    buttonGap: "0.25rem"
+  },
+  colorScheme: {
+    light: {
+      dropdown: {
+        background: "{surface.100}",
+        hoverBackground: "{surface.200}",
+        activeBackground: "{surface.300}",
+        color: "{surface.600}",
+        hoverColor: "{surface.700}",
+        activeColor: "{surface.800}"
+      },
+      today: {
+        background: "{surface.200}",
+        color: "{surface.900}"
+      }
+    },
+    dark: {
+      dropdown: {
+        background: "{surface.800}",
+        hoverBackground: "{surface.700}",
+        activeBackground: "{surface.600}",
+        color: "{surface.300}",
+        hoverColor: "{surface.200}",
+        activeColor: "{surface.100}"
+      },
+      today: {
+        background: "{surface.700}",
+        color: "{surface.0}"
+      }
+    }
+  }
+};
+var index$12 = {
+  root: {
+    background: "{overlay.modal.background}",
+    borderColor: "{overlay.modal.border.color}",
+    color: "{overlay.modal.color}",
+    borderRadius: "{overlay.modal.border.radius}",
+    shadow: "{overlay.modal.shadow}"
+  },
+  header: {
+    padding: "{overlay.modal.padding}",
+    gap: "0.5rem"
+  },
+  title: {
+    fontSize: "1.25rem",
+    fontWeight: "600"
+  },
+  content: {
+    padding: "0 {overlay.modal.padding} {overlay.modal.padding} {overlay.modal.padding}"
+  },
+  footer: {
+    padding: "0 {overlay.modal.padding} {overlay.modal.padding} {overlay.modal.padding}",
+    gap: "0.5rem"
+  }
+};
+var index$11 = {
+  root: {
+    borderColor: "{content.border.color}"
+  },
+  content: {
+    background: "{content.background}",
+    color: "{text.color}"
+  },
+  horizontal: {
+    margin: "1rem 0",
+    padding: "0 1rem",
+    content: {
+      padding: "0 0.5rem"
+    }
+  },
+  vertical: {
+    margin: "0 1rem",
+    padding: "0.5rem 0",
+    content: {
+      padding: "0.5rem 0"
+    }
+  }
+};
+var index$10 = {
+  root: {
+    background: "rgba(255, 255, 255, 0.1)",
+    borderColor: "rgba(255, 255, 255, 0.2)",
+    padding: "0.5rem",
+    borderRadius: "{border.radius.xl}"
+  },
+  item: {
+    borderRadius: "{content.border.radius}",
+    padding: "0.5rem",
+    size: "3rem",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  }
+};
+var index$$ = {
+  root: {
+    background: "{overlay.modal.background}",
+    borderColor: "{overlay.modal.border.color}",
+    color: "{overlay.modal.color}",
+    borderRadius: "{overlay.modal.border.radius}",
+    shadow: "{overlay.modal.shadow}"
+  },
+  header: {
+    padding: "{overlay.modal.padding}"
+  },
+  title: {
+    fontSize: "1.5rem",
+    fontWeight: "600"
+  },
+  content: {
+    padding: "0 {overlay.modal.padding} {overlay.modal.padding} {overlay.modal.padding}"
+  }
+};
+var index$_ = {
+  toolbar: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    borderRadius: "{content.border.radius}"
+  },
+  toolbarItem: {
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    activeColor: "{primary.color}"
+  },
+  overlay: {
+    background: "{overlay.select.background}",
+    borderColor: "{overlay.select.border.color}",
+    borderRadius: "{overlay.select.border.radius}",
+    color: "{overlay.select.color}",
+    shadow: "{overlay.select.shadow}",
+    padding: "{list.padding}"
+  },
+  overlayOption: {
+    focusBackground: "{list.option.focus.background}",
+    color: "{list.option.color}",
+    focusColor: "{list.option.focus.color}",
+    padding: "{list.option.padding}",
+    borderRadius: "{list.option.border.radius}"
+  },
+  content: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    color: "{content.color}",
+    borderRadius: "{content.border.radius}"
+  }
+};
+var index$Z = {
+  root: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    color: "{content.color}",
+    padding: "0 1.125rem 1.125rem 1.125rem",
+    transitionDuration: "{transition.duration}"
+  },
+  legend: {
+    background: "{content.background}",
+    hoverBackground: "{content.hover.background}",
+    color: "{content.color}",
+    hoverColor: "{content.hover.color}",
+    borderRadius: "{content.border.radius}",
+    borderWidth: "1px",
+    borderColor: "transparent",
+    padding: "0.5rem 0.75rem",
+    gap: "0.5rem",
+    fontWeight: "600",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  toggleIcon: {
+    color: "{text.muted.color}",
+    hoverColor: "{text.hover.muted.color}"
+  },
+  content: {
+    padding: "0"
+  }
+};
+var index$Y = {
+  root: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    color: "{content.color}",
+    borderRadius: "{content.border.radius}",
+    transitionDuration: "{transition.duration}"
+  },
+  header: {
+    background: "transparent",
+    color: "{text.color}",
+    padding: "1.125rem",
+    borderWidth: "0",
+    borderRadius: "0",
+    gap: "0.5rem"
+  },
+  content: {
+    highlightBorderColor: "{primary.color}",
+    padding: "0 1.125rem 1.125rem 1.125rem"
+  },
+  file: {
+    padding: "1rem",
+    gap: "1rem",
+    borderColor: "{content.border.color}",
+    info: {
+      gap: "0.5rem"
+    }
+  },
+  progressbar: {
+    height: "0.25rem"
+  },
+  basic: {
+    gap: "0.5rem"
+  }
+};
+var index$X = {
+  root: {
+    color: "{form.field.float.label.color}",
+    focusColor: "{form.field.float.label.focus.color}",
+    invalidColor: "{form.field.float.label.invalid.color}",
+    transitionDuration: "0.2s"
+  }
+};
+var index$W = {
+  root: {
+    borderWidth: "1px",
+    borderColor: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    transitionDuration: "{transition.duration}"
+  },
+  navButton: {
+    background: "rgba(255, 255, 255, 0.1)",
+    hoverBackground: "rgba(255, 255, 255, 0.2)",
+    color: "{surface.100}",
+    hoverColor: "{surface.0}",
+    size: "3rem",
+    gutter: "0.5rem",
+    prev: {
+      borderRadius: "50%"
+    },
+    next: {
+      borderRadius: "50%"
+    },
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  navIcon: {
+    size: "1.5rem"
+  },
+  thumbnailsContent: {
+    background: "{content.background}",
+    padding: "1rem 0.25rem"
+  },
+  thumbnailNavButton: {
+    size: "2rem",
+    borderRadius: "{content.border.radius}",
+    gutter: "0.5rem",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  thumbnailNavButtonIcon: {
+    size: "1rem"
+  },
+  caption: {
+    background: "rgba(0, 0, 0, 0.5)",
+    color: "{surface.100}",
+    padding: "1rem"
+  },
+  indicatorList: {
+    gap: "0.5rem",
+    padding: "1rem"
+  },
+  indicatorButton: {
+    width: "1rem",
+    height: "1rem",
+    activeBackground: "{primary.color}",
+    borderRadius: "50%",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  insetIndicatorList: {
+    background: "rgba(0, 0, 0, 0.5)"
+  },
+  insetIndicatorButton: {
+    background: "rgba(255, 255, 255, 0.4)",
+    hoverBackground: "rgba(255, 255, 255, 0.6)",
+    activeBackground: "rgba(255, 255, 255, 0.9)"
+  },
+  mask: {
+    background: "{mask.background}",
+    color: "{mask.color}"
+  },
+  closeButton: {
+    size: "3rem",
+    gutter: "0.5rem",
+    background: "rgba(255, 255, 255, 0.1)",
+    hoverBackground: "rgba(255, 255, 255, 0.2)",
+    color: "{surface.50}",
+    hoverColor: "{surface.0}",
+    borderRadius: "50%",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  closeButtonIcon: {
+    size: "1.5rem"
+  },
+  colorScheme: {
+    light: {
+      thumbnailNavButton: {
+        hoverBackground: "{surface.100}",
+        color: "{surface.600}",
+        hoverColor: "{surface.700}"
+      },
+      indicatorButton: {
+        background: "{surface.200}",
+        hoverBackground: "{surface.300}"
+      }
+    },
+    dark: {
+      thumbnailNavButton: {
+        hoverBackground: "{surface.700}",
+        color: "{surface.400}",
+        hoverColor: "{surface.0}"
+      },
+      indicatorButton: {
+        background: "{surface.700}",
+        hoverBackground: "{surface.600}"
+      }
+    }
+  }
+};
+var index$V = {
+  icon: {
+    color: "{form.field.icon.color}"
+  }
+};
+var index$U = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  preview: {
+    icon: {
+      size: "1.5rem"
+    },
+    mask: {
+      background: "{mask.background}",
+      color: "{mask.color}"
+    }
+  },
+  toolbar: {
+    position: {
+      left: "auto",
+      right: "1rem",
+      top: "1rem",
+      bottom: "auto"
+    },
+    blur: "8px",
+    background: "rgba(255,255,255,0.1)",
+    borderColor: "rgba(255,255,255,0.2)",
+    borderWidth: "1px",
+    borderRadius: "30px",
+    padding: ".5rem",
+    gap: "0.5rem"
+  },
+  action: {
+    hoverBackground: "rgba(255,255,255,0.1)",
+    color: "{surface.50}",
+    hoverColor: "{surface.0}",
+    size: "3rem",
+    iconSize: "1.5rem",
+    borderRadius: "50%",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  }
+};
+var index$T = {
+  root: {
+    padding: "{form.field.padding.y} {form.field.padding.x}",
+    borderRadius: "{content.border.radius}",
+    gap: "0.5rem"
+  },
+  text: {
+    fontWeight: "500"
+  },
+  icon: {
+    size: "1rem"
+  },
+  colorScheme: {
+    light: {
+      info: {
+        background: "color-mix(in srgb, {blue.50}, transparent 5%)",
+        borderColor: "{blue.200}",
+        color: "{blue.600}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)"
+      },
+      success: {
+        background: "color-mix(in srgb, {green.50}, transparent 5%)",
+        borderColor: "{green.200}",
+        color: "{green.600}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)"
+      },
+      warn: {
+        background: "color-mix(in srgb,{yellow.50}, transparent 5%)",
+        borderColor: "{yellow.200}",
+        color: "{yellow.600}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)"
+      },
+      error: {
+        background: "color-mix(in srgb, {red.50}, transparent 5%)",
+        borderColor: "{red.200}",
+        color: "{red.600}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)"
+      },
+      secondary: {
+        background: "{surface.100}",
+        borderColor: "{surface.200}",
+        color: "{surface.600}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)"
+      },
+      contrast: {
+        background: "{surface.900}",
+        borderColor: "{surface.950}",
+        color: "{surface.50}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)"
+      }
+    },
+    dark: {
+      info: {
+        background: "color-mix(in srgb, {blue.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {blue.700}, transparent 64%)",
+        color: "{blue.500}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)"
+      },
+      success: {
+        background: "color-mix(in srgb, {green.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {green.700}, transparent 64%)",
+        color: "{green.500}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)"
+      },
+      warn: {
+        background: "color-mix(in srgb, {yellow.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {yellow.700}, transparent 64%)",
+        color: "{yellow.500}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)"
+      },
+      error: {
+        background: "color-mix(in srgb, {red.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {red.700}, transparent 64%)",
+        color: "{red.500}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)"
+      },
+      secondary: {
+        background: "{surface.800}",
+        borderColor: "{surface.700}",
+        color: "{surface.300}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)"
+      },
+      contrast: {
+        background: "{surface.0}",
+        borderColor: "{surface.100}",
+        color: "{surface.950}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)"
+      }
+    }
+  }
+};
+var index$S = {
+  root: {
+    padding: "{form.field.padding.y} {form.field.padding.x}",
+    borderRadius: "{content.border.radius}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    },
+    transitionDuration: "{transition.duration}"
+  },
+  display: {
+    hoverBackground: "{content.hover.background}",
+    hoverColor: "{content.hover.color}"
+  }
+};
+var index$R = {
+  root: {
+    background: "{form.field.background}",
+    disabledBackground: "{form.field.disabled.background}",
+    filledBackground: "{form.field.filled.background}",
+    filledFocusBackground: "{form.field.filled.focus.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.focus.border.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    color: "{form.field.color}",
+    disabledColor: "{form.field.disabled.color}",
+    placeholderColor: "{form.field.placeholder.color}",
+    shadow: "{form.field.shadow}",
+    paddingX: "{form.field.padding.x}",
+    paddingY: "{form.field.padding.y}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{form.field.focus.ring.width}",
+      style: "{form.field.focus.ring.style}",
+      color: "{form.field.focus.ring.color}",
+      offset: "{form.field.focus.ring.offset}",
+      shadow: "{form.field.focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  chip: {
+    borderRadius: "{border.radius.sm}"
+  },
+  colorScheme: {
+    light: {
+      chip: {
+        focusBackground: "{surface.200}",
+        color: "{surface.800}"
+      }
+    },
+    dark: {
+      chip: {
+        focusBackground: "{surface.700}",
+        color: "{surface.0}"
+      }
+    }
+  }
+};
+var index$Q = {
+  addon: {
+    background: "{form.field.background}",
+    borderColor: "{form.field.border.color}",
+    color: "{form.field.icon.color}",
+    borderRadius: "{form.field.border.radius}"
+  }
+};
+var index$P = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  button: {
+    width: "2.5rem",
+    borderRadius: "{form.field.border.radius}",
+    verticalPadding: "{form.field.padding.y}"
+  },
+  colorScheme: {
+    light: {
+      button: {
+        background: "transparent",
+        hoverBackground: "{surface.100}",
+        activeBackground: "{surface.200}",
+        borderColor: "{form.field.border.color}",
+        hoverBorderColor: "{form.field.border.color}",
+        activeBorderColor: "{form.field.border.color}",
+        color: "{surface.400}",
+        hoverColor: "{surface.500}",
+        activeColor: "{surface.600}"
+      }
+    },
+    dark: {
+      button: {
+        background: "transparent",
+        hoverBackground: "{surface.800}",
+        activeBackground: "{surface.700}",
+        borderColor: "{form.field.border.color}",
+        hoverBorderColor: "{form.field.border.color}",
+        activeBorderColor: "{form.field.border.color}",
+        color: "{surface.400}",
+        hoverColor: "{surface.300}",
+        activeColor: "{surface.200}"
+      }
+    }
+  }
+};
+var index$O = {
+  root: {
+    background: "{form.field.background}",
+    disabledBackground: "{form.field.disabled.background}",
+    filledBackground: "{form.field.filled.background}",
+    filledFocusBackground: "{form.field.filled.focus.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.focus.border.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    color: "{form.field.color}",
+    disabledColor: "{form.field.disabled.color}",
+    placeholderColor: "{form.field.placeholder.color}",
+    shadow: "{form.field.shadow}",
+    paddingX: "{form.field.padding.x}",
+    paddingY: "{form.field.padding.y}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{form.field.focus.ring.width}",
+      style: "{form.field.focus.ring.style}",
+      color: "{form.field.focus.ring.color}",
+      offset: "{form.field.focus.ring.offset}",
+      shadow: "{form.field.focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}",
+    sm: {
+      fontSize: "0.875rem",
+      paddingX: "0.625rem",
+      paddingY: "0.375rem"
+    },
+    lg: {
+      fontSize: "1.125rem",
+      paddingX: "0.875rem",
+      paddingY: "0.625rem"
+    }
+  }
+};
+var index$N = {
+  root: {
+    transitionDuration: "{transition.duration}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  value: {
+    background: "{primary.color}"
+  },
+  range: {
+    background: "{content.border.color}"
+  },
+  text: {
+    color: "{text.muted.color}"
+  }
+};
+var index$M = {
+  root: {
+    background: "{form.field.background}",
+    disabledBackground: "{form.field.disabled.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.focus.border.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    color: "{form.field.color}",
+    disabledColor: "{form.field.disabled.color}",
+    shadow: "{form.field.shadow}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{form.field.focus.ring.width}",
+      style: "{form.field.focus.ring.style}",
+      color: "{form.field.focus.ring.color}",
+      offset: "{form.field.focus.ring.offset}",
+      shadow: "{form.field.focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  list: {
+    padding: "{list.padding}",
+    gap: "{list.gap}",
+    header: {
+      padding: "{list.header.padding}"
+    }
+  },
+  option: {
+    focusBackground: "{list.option.focus.background}",
+    selectedBackground: "{list.option.selected.background}",
+    selectedFocusBackground: "{list.option.selected.focus.background}",
+    color: "{list.option.color}",
+    focusColor: "{list.option.focus.color}",
+    selectedColor: "{list.option.selected.color}",
+    selectedFocusColor: "{list.option.selected.focus.color}",
+    padding: "{list.option.padding}",
+    borderRadius: "{list.option.border.radius}"
+  },
+  optionGroup: {
+    background: "{list.option.group.background}",
+    color: "{list.option.group.color}",
+    fontWeight: "{list.option.group.font.weight}",
+    padding: "{list.option.group.padding}"
+  },
+  checkmark: {
+    color: "{list.option.color}",
+    gutterStart: "-0.375rem",
+    gutterEnd: "0.375rem"
+  },
+  emptyMessage: {
+    padding: "{list.option.padding}"
+  },
+  colorScheme: {
+    light: {
+      option: {
+        stripedBackground: "{surface.50}"
+      }
+    },
+    dark: {
+      option: {
+        stripedBackground: "{surface.900}"
+      }
+    }
+  }
+};
+var index$L = {
+  root: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    color: "{content.color}",
+    gap: "0.5rem",
+    verticalOrientation: {
+      padding: "{navigation.list.padding}",
+      gap: "0"
+    },
+    horizontalOrientation: {
+      padding: "0.5rem 0.75rem"
+    },
+    transitionDuration: "{transition.duration}"
+  },
+  baseItem: {
+    borderRadius: "{content.border.radius}",
+    padding: "{navigation.item.padding}"
+  },
+  item: {
+    focusBackground: "{navigation.item.focus.background}",
+    activeBackground: "{navigation.item.active.background}",
+    color: "{navigation.item.color}",
+    focusColor: "{navigation.item.focus.color}",
+    activeColor: "{navigation.item.active.color}",
+    padding: "{navigation.item.padding}",
+    borderRadius: "{navigation.item.border.radius}",
+    gap: "{navigation.item.gap}",
+    icon: {
+      color: "{navigation.item.icon.color}",
+      focusColor: "{navigation.item.icon.focus.color}",
+      activeColor: "{navigation.item.icon.active.color}"
+    }
+  },
+  overlay: {
+    padding: "0",
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    color: "{content.color}",
+    shadow: "{overlay.navigation.shadow}",
+    gap: "0.5rem"
+  },
+  submenu: {
+    padding: "{navigation.list.padding}",
+    gap: "{navigation.list.gap}"
+  },
+  submenuLabel: {
+    padding: "{navigation.submenu.label.padding}",
+    fontWeight: "{navigation.submenu.label.font.weight}",
+    background: "{navigation.submenu.label.background.}",
+    color: "{navigation.submenu.label.color}"
+  },
+  submenuIcon: {
+    size: "{navigation.submenu.icon.size}",
+    color: "{navigation.submenu.icon.color}",
+    focusColor: "{navigation.submenu.icon.focus.color}",
+    activeColor: "{navigation.submenu.icon.active.color}"
+  },
+  separator: {
+    borderColor: "{content.border.color}"
+  },
+  mobileButton: {
+    borderRadius: "50%",
+    size: "1.75rem",
+    color: "{text.muted.color}",
+    hoverColor: "{text.muted.hover.color}",
+    hoverBackground: "{content.hover.background}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  }
+};
+var index$K = {
+  root: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    color: "{content.color}",
+    borderRadius: "{content.border.radius}",
+    shadow: "{overlay.navigation.shadow}",
+    transitionDuration: "{transition.duration}"
+  },
+  list: {
+    padding: "{navigation.list.padding}",
+    gap: "{navigation.list.gap}"
+  },
+  item: {
+    focusBackground: "{navigation.item.focus.background}",
+    color: "{navigation.item.color}",
+    focusColor: "{navigation.item.focus.color}",
+    padding: "{navigation.item.padding}",
+    borderRadius: "{navigation.item.border.radius}",
+    gap: "{navigation.item.gap}",
+    icon: {
+      color: "{navigation.item.icon.color}",
+      focusColor: "{navigation.item.icon.focus.color}"
+    }
+  },
+  submenuLabel: {
+    padding: "{navigation.submenu.label.padding}",
+    fontWeight: "{navigation.submenu.label.font.weight}",
+    background: "{navigation.submenu.label.background.}",
+    color: "{navigation.submenu.label.color}"
+  },
+  separator: {
+    borderColor: "{content.border.color}"
+  }
+};
+var index$J = {
+  root: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    color: "{content.color}",
+    gap: "0.5rem",
+    padding: "0.5rem 0.75rem",
+    transitionDuration: "{transition.duration}"
+  },
+  baseItem: {
+    borderRadius: "{content.border.radius}",
+    padding: "{navigation.item.padding}"
+  },
+  item: {
+    focusBackground: "{navigation.item.focus.background}",
+    activeBackground: "{navigation.item.active.background}",
+    color: "{navigation.item.color}",
+    focusColor: "{navigation.item.focus.color}",
+    activeColor: "{navigation.item.active.color}",
+    padding: "{navigation.item.padding}",
+    borderRadius: "{navigation.item.border.radius}",
+    gap: "{navigation.item.gap}",
+    icon: {
+      color: "{navigation.item.icon.color}",
+      focusColor: "{navigation.item.icon.focus.color}",
+      activeColor: "{navigation.item.icon.active.color}"
+    }
+  },
+  submenu: {
+    padding: "{navigation.list.padding}",
+    gap: "{navigation.list.gap}",
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    shadow: "{overlay.navigation.shadow}",
+    mobileIndent: "1rem"
+  },
+  submenuIcon: {
+    size: "{navigation.submenu.icon.size}",
+    color: "{navigation.submenu.icon.color}",
+    focusColor: "{navigation.submenu.icon.focus.color}",
+    activeColor: "{navigation.submenu.icon.active.color}"
+  },
+  separator: {
+    borderColor: "{content.border.color}"
+  },
+  mobileButton: {
+    borderRadius: "50%",
+    size: "1.75rem",
+    color: "{text.muted.color}",
+    hoverColor: "{text.muted.hover.color}",
+    hoverBackground: "{content.hover.background}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  }
+};
+var index$I = {
+  root: {
+    borderRadius: "{content.border.radius}",
+    borderWidth: "1px",
+    transitionDuration: "{transition.duration}"
+  },
+  content: {
+    padding: "0.5rem 0.75rem",
+    gap: "0.5rem"
+  },
+  text: {
+    fontSize: "1rem",
+    fontWeight: "500"
+  },
+  icon: {
+    size: "1.125rem"
+  },
+  closeButton: {
+    width: "1.75rem",
+    height: "1.75rem",
+    borderRadius: "50%",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      offset: "{focus.ring.offset}"
+    }
+  },
+  closeIcon: {
+    size: "1rem"
+  },
+  colorScheme: {
+    light: {
+      info: {
+        background: "color-mix(in srgb, {blue.50}, transparent 5%)",
+        borderColor: "{blue.200}",
+        color: "{blue.600}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{blue.100}",
+          focusRing: {
+            color: "{blue.600}",
+            shadow: "none"
+          }
+        }
+      },
+      success: {
+        background: "color-mix(in srgb, {green.50}, transparent 5%)",
+        borderColor: "{green.200}",
+        color: "{green.600}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{green.100}",
+          focusRing: {
+            color: "{green.600}",
+            shadow: "none"
+          }
+        }
+      },
+      warn: {
+        background: "color-mix(in srgb,{yellow.50}, transparent 5%)",
+        borderColor: "{yellow.200}",
+        color: "{yellow.600}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{yellow.100}",
+          focusRing: {
+            color: "{yellow.600}",
+            shadow: "none"
+          }
+        }
+      },
+      error: {
+        background: "color-mix(in srgb, {red.50}, transparent 5%)",
+        borderColor: "{red.200}",
+        color: "{red.600}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{red.100}",
+          focusRing: {
+            color: "{red.600}",
+            shadow: "none"
+          }
+        }
+      },
+      secondary: {
+        background: "{surface.100}",
+        borderColor: "{surface.200}",
+        color: "{surface.600}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{surface.200}",
+          focusRing: {
+            color: "{surface.600}",
+            shadow: "none"
+          }
+        }
+      },
+      contrast: {
+        background: "{surface.900}",
+        borderColor: "{surface.950}",
+        color: "{surface.50}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{surface.800}",
+          focusRing: {
+            color: "{surface.50}",
+            shadow: "none"
+          }
+        }
+      }
+    },
+    dark: {
+      info: {
+        background: "color-mix(in srgb, {blue.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {blue.700}, transparent 64%)",
+        color: "{blue.500}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "rgba(255, 255, 255, 0.05)",
+          focusRing: {
+            color: "{blue.500}",
+            shadow: "none"
+          }
+        }
+      },
+      success: {
+        background: "color-mix(in srgb, {green.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {green.700}, transparent 64%)",
+        color: "{green.500}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "rgba(255, 255, 255, 0.05)",
+          focusRing: {
+            color: "{green.500}",
+            shadow: "none"
+          }
+        }
+      },
+      warn: {
+        background: "color-mix(in srgb, {yellow.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {yellow.700}, transparent 64%)",
+        color: "{yellow.500}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "rgba(255, 255, 255, 0.05)",
+          focusRing: {
+            color: "{yellow.500}",
+            shadow: "none"
+          }
+        }
+      },
+      error: {
+        background: "color-mix(in srgb, {red.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {red.700}, transparent 64%)",
+        color: "{red.500}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "rgba(255, 255, 255, 0.05)",
+          focusRing: {
+            color: "{red.500}",
+            shadow: "none"
+          }
+        }
+      },
+      secondary: {
+        background: "{surface.800}",
+        borderColor: "{surface.700}",
+        color: "{surface.300}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{surface.700}",
+          focusRing: {
+            color: "{surface.300}",
+            shadow: "none"
+          }
+        }
+      },
+      contrast: {
+        background: "{surface.0}",
+        borderColor: "{surface.100}",
+        color: "{surface.950}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{surface.100}",
+          focusRing: {
+            color: "{surface.950}",
+            shadow: "none"
+          }
+        }
+      }
+    }
+  }
+};
+var index$H = {
+  root: {
+    borderRadius: "{content.border.radius}",
+    gap: "1rem"
+  },
+  meters: {
+    background: "{content.border.color}",
+    size: "0.5rem"
+  },
+  label: {
+    gap: "0.5rem"
+  },
+  labelMarker: {
+    size: "0.5rem"
+  },
+  labelIcon: {
+    size: "1rem"
+  },
+  labelList: {
+    verticalGap: "0.5rem",
+    horizontalGap: "1rem"
+  }
+};
+var index$G = {
+  root: {
+    background: "{form.field.background}",
+    disabledBackground: "{form.field.disabled.background}",
+    filledBackground: "{form.field.filled.background}",
+    filledFocusBackground: "{form.field.filled.focus.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.focus.border.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    color: "{form.field.color}",
+    disabledColor: "{form.field.disabled.color}",
+    placeholderColor: "{form.field.placeholder.color}",
+    shadow: "{form.field.shadow}",
+    paddingX: "{form.field.padding.x}",
+    paddingY: "{form.field.padding.y}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{form.field.focus.ring.width}",
+      style: "{form.field.focus.ring.style}",
+      color: "{form.field.focus.ring.color}",
+      offset: "{form.field.focus.ring.offset}",
+      shadow: "{form.field.focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  dropdown: {
+    width: "2.5rem",
+    color: "{form.field.icon.color}"
+  },
+  overlay: {
+    background: "{overlay.select.background}",
+    borderColor: "{overlay.select.border.color}",
+    borderRadius: "{overlay.select.border.radius}",
+    color: "{overlay.select.color}",
+    shadow: "{overlay.select.shadow}"
+  },
+  list: {
+    padding: "{list.padding}",
+    gap: "{list.gap}",
+    header: {
+      padding: "{list.header.padding}"
+    }
+  },
+  option: {
+    focusBackground: "{list.option.focus.background}",
+    selectedBackground: "{list.option.selected.background}",
+    selectedFocusBackground: "{list.option.selected.focus.background}",
+    color: "{list.option.color}",
+    focusColor: "{list.option.focus.color}",
+    selectedColor: "{list.option.selected.color}",
+    selectedFocusColor: "{list.option.selected.focus.color}",
+    padding: "{list.option.padding}",
+    borderRadius: "{list.option.border.radius}",
+    gap: "0.5rem"
+  },
+  optionGroup: {
+    background: "{list.option.group.background}",
+    color: "{list.option.group.color}",
+    fontWeight: "{list.option.group.font.weight}",
+    padding: "{list.option.group.padding}"
+  },
+  chip: {
+    borderRadius: "{border.radius.sm}"
+  },
+  emptyMessage: {
+    padding: "{list.option.padding}"
+  }
+};
+var index$F = {
+  root: {
+    gap: "1.125rem"
+  },
+  controls: {
+    gap: "0.5rem"
+  }
+};
+var index$E = {
+  root: {
+    gutter: "0.75rem",
+    transitionDuration: "{transition.duration}"
+  },
+  node: {
+    background: "{content.background}",
+    hoverBackground: "{content.hover.background}",
+    selectedBackground: "{highlight.background}",
+    borderColor: "{content.border.color}",
+    color: "{content.color}",
+    selectedColor: "{highlight.color}",
+    hoverColor: "{content.hover.color}",
+    padding: "0.75rem 1rem",
+    toggleablePadding: "0.75rem 1rem 1.25rem 1rem",
+    borderRadius: "{content.border.radius}"
+  },
+  nodeToggleButton: {
+    background: "{content.background}",
+    hoverBackground: "{content.hover.background}",
+    borderColor: "{content.border.color}",
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    size: "1.5rem",
+    borderRadius: "50%",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  connector: {
+    color: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    height: "24px"
+  }
+};
+var index$D = {
+  root: {
+    outline: {
+      width: "2px",
+      color: "{content.background}"
+    }
+  }
+};
+var index$C = {
+  root: {
+    padding: "0.5rem 1rem",
+    gap: "0.25rem",
+    borderRadius: "{content.border.radius}",
+    background: "{content.background}",
+    color: "{content.color}",
+    transitionDuration: "{transition.duration}"
+  },
+  navButton: {
+    background: "transparent",
+    hoverBackground: "{content.hover.background}",
+    selectedBackground: "{highlight.background}",
+    color: "{text.muted.color}",
+    hoverColor: "{text.hover.muted.color}",
+    selectedColor: "{highlight.color}",
+    width: "2.5rem",
+    height: "2.5rem",
+    borderRadius: "50%",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  currentPageReport: {
+    color: "{text.muted.color}"
+  },
+  jumpToPageInput: {
+    maxWidth: "2.5rem"
+  }
+};
+var index$B = {
+  root: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    color: "{content.color}",
+    borderRadius: "{content.border.radius}"
+  },
+  header: {
+    background: "transparent",
+    color: "{text.color}",
+    padding: "1.125rem",
+    borderColor: "{content.border.color}",
+    borderWidth: "0",
+    borderRadius: "0"
+  },
+  toggleableHeader: {
+    padding: "0.375rem 1.125rem"
+  },
+  title: {
+    fontWeight: "600"
+  },
+  content: {
+    padding: "0 1.125rem 1.125rem 1.125rem"
+  },
+  footer: {
+    padding: "0 1.125rem 1.125rem 1.125rem"
+  }
+};
+var index$A = {
+  root: {
+    gap: "0.5rem",
+    transitionDuration: "{transition.duration}"
+  },
+  panel: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    borderWidth: "1px",
+    color: "{content.color}",
+    padding: "0.25rem 0.25rem",
+    borderRadius: "{content.border.radius}",
+    first: {
+      borderWidth: "1px",
+      topBorderRadius: "{content.border.radius}"
+    },
+    last: {
+      borderWidth: "1px",
+      bottomBorderRadius: "{content.border.radius}"
+    }
+  },
+  item: {
+    focusBackground: "{navigation.item.focus.background}",
+    color: "{navigation.item.color}",
+    focusColor: "{navigation.item.focus.color}",
+    gap: "0.5rem",
+    padding: "{navigation.item.padding}",
+    borderRadius: "{content.border.radius}",
+    icon: {
+      color: "{navigation.item.icon.color}",
+      focusColor: "{navigation.item.icon.focus.color}"
+    }
+  },
+  submenu: {
+    indent: "1rem"
+  },
+  submenuIcon: {
+    color: "{navigation.submenu.icon.color}",
+    focusColor: "{navigation.submenu.icon.focus.color}"
+  }
+};
+var index$z = {
+  meter: {
+    background: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    height: ".75rem"
+  },
+  icon: {
+    color: "{form.field.icon.color}"
+  },
+  overlay: {
+    background: "{overlay.popover.background}",
+    borderColor: "{overlay.popover.border.color}",
+    borderRadius: "{overlay.popover.border.radius}",
+    color: "{overlay.popover.color}",
+    padding: "{overlay.popover.padding}",
+    shadow: "{overlay.popover.shadow}"
+  },
+  content: {
+    gap: "0.5rem"
+  },
+  colorScheme: {
+    light: {
+      strength: {
+        weakBackground: "{red.500}",
+        mediumBackground: "{amber.500}",
+        strongBackground: "{green.500}"
+      }
+    },
+    dark: {
+      strength: {
+        weakBackground: "{red.400}",
+        mediumBackground: "{amber.400}",
+        strongBackground: "{green.400}"
+      }
+    }
+  }
+};
+var index$y = {
+  root: {
+    gap: "1.125rem"
+  },
+  controls: {
+    gap: "0.5rem"
+  }
+};
+var index$x = {
+  root: {
+    background: "{overlay.popover.background}",
+    borderColor: "{overlay.popover.border.color}",
+    color: "{overlay.popover.color}",
+    borderRadius: "{overlay.popover.border.radius}",
+    shadow: "{overlay.popover.shadow}",
+    gutter: "10px",
+    arrowOffset: "1.25rem"
+  },
+  content: {
+    padding: "{overlay.popover.padding}"
+  }
+};
+var index$w = {
+  root: {
+    background: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    height: "1.25rem"
+  },
+  value: {
+    background: "{primary.color}"
+  },
+  label: {
+    color: "{primary.contrast.color}",
+    fontSize: "0.75rem",
+    fontWeight: "600"
+  }
+};
+var index$v = {
+  colorScheme: {
+    light: {
+      root: {
+        "color.1": "{red.500}",
+        "color.2": "{blue.500}",
+        "color.3": "{green.500}",
+        "color.4": "{yellow.500}"
+      }
+    },
+    dark: {
+      root: {
+        "color.1": "{red.400}",
+        "color.2": "{blue.400}",
+        "color.3": "{green.400}",
+        "color.4": "{yellow.400}"
+      }
+    }
+  }
+};
+var index$u = {
+  root: {
+    width: "1.25rem",
+    height: "1.25rem",
+    background: "{form.field.background}",
+    checkedBackground: "{primary.color}",
+    checkedHoverBackground: "{primary.hover.color}",
+    disabledBackground: "{form.field.disabled.background}",
+    filledBackground: "{form.field.filled.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.border.color}",
+    checkedBorderColor: "{primary.color}",
+    checkedHoverBorderColor: "{primary.hover.color}",
+    checkedFocusBorderColor: "{primary.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    shadow: "{form.field.shadow}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  icon: {
+    size: "0.75rem",
+    checkedColor: "{primary.contrast.color}",
+    checkedHoverColor: "{primary.contrast.color}",
+    disabledColor: "{form.field.disabled.color}"
+  }
+};
+var index$t = {
+  root: {
+    gap: "0.25rem",
+    transitionDuration: "{transition.duration}"
+  },
+  icon: {
+    size: "1rem",
+    color: "{text.muted.color}",
+    hoverColor: "{primary.color}",
+    activeColor: "{primary.color}"
+  }
+};
+var index$s = {
+  colorScheme: {
+    light: {
+      root: {
+        background: "rgba(0,0,0,0.1)"
+      }
+    },
+    dark: {
+      root: {
+        background: "rgba(255,255,255,0.3)"
+      }
+    }
+  }
+};
+var index$r = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  bar: {
+    size: "9px",
+    borderRadius: "{border.radius.sm}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  colorScheme: {
+    light: {
+      bar: {
+        background: "{surface.100}"
+      }
+    },
+    dark: {
+      bar: {
+        background: "{surface.800}"
+      }
+    }
+  }
+};
+var index$q = {
+  root: {
+    background: "{form.field.background}",
+    disabledBackground: "{form.field.disabled.background}",
+    filledBackground: "{form.field.filled.background}",
+    filledFocusBackground: "{form.field.filled.focus.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.focus.border.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    color: "{form.field.color}",
+    disabledColor: "{form.field.disabled.color}",
+    placeholderColor: "{form.field.placeholder.color}",
+    shadow: "{form.field.shadow}",
+    paddingX: "{form.field.padding.x}",
+    paddingY: "{form.field.padding.y}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{form.field.focus.ring.width}",
+      style: "{form.field.focus.ring.style}",
+      color: "{form.field.focus.ring.color}",
+      offset: "{form.field.focus.ring.offset}",
+      shadow: "{form.field.focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  dropdown: {
+    width: "2.5rem",
+    color: "{form.field.icon.color}"
+  },
+  overlay: {
+    background: "{overlay.select.background}",
+    borderColor: "{overlay.select.border.color}",
+    borderRadius: "{overlay.select.border.radius}",
+    color: "{overlay.select.color}",
+    shadow: "{overlay.select.shadow}"
+  },
+  list: {
+    padding: "{list.padding}",
+    gap: "{list.gap}",
+    header: {
+      padding: "{list.header.padding}"
+    }
+  },
+  option: {
+    focusBackground: "{list.option.focus.background}",
+    selectedBackground: "{list.option.selected.background}",
+    selectedFocusBackground: "{list.option.selected.focus.background}",
+    color: "{list.option.color}",
+    focusColor: "{list.option.focus.color}",
+    selectedColor: "{list.option.selected.color}",
+    selectedFocusColor: "{list.option.selected.focus.color}",
+    padding: "{list.option.padding}",
+    borderRadius: "{list.option.border.radius}"
+  },
+  optionGroup: {
+    background: "{list.option.group.background}",
+    color: "{list.option.group.color}",
+    fontWeight: "{list.option.group.font.weight}",
+    padding: "{list.option.group.padding}"
+  },
+  clearIcon: {
+    color: "{form.field.icon.color}"
+  },
+  checkmark: {
+    color: "{list.option.color}",
+    gutterStart: "-0.375rem",
+    gutterEnd: "0.375rem"
+  },
+  emptyMessage: {
+    padding: "{list.option.padding}"
+  }
+};
+var index$p = {
+  root: {
+    borderRadius: "{form.field.border.radius}"
+  },
+  colorScheme: {
+    light: {
+      root: {
+        invalidBorderColor: "{form.field.invalid.border.color}"
+      }
+    },
+    dark: {
+      root: {
+        invalidBorderColor: "{form.field.invalid.border.color}"
+      }
+    }
+  }
+};
+var index$o = {
+  root: {
+    borderRadius: "{content.border.radius}"
+  },
+  colorScheme: {
+    light: {
+      root: {
+        background: "{surface.200}",
+        animationBackground: "rgba(255,255,255,0.4)"
+      }
+    },
+    dark: {
+      root: {
+        background: "rgba(255, 255, 255, 0.06)",
+        animationBackground: "rgba(255, 255, 255, 0.04)"
+      }
+    }
+  }
+};
+var index$n = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  track: {
+    background: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    size: "3px"
+  },
+  range: {
+    background: "{primary.color}"
+  },
+  handle: {
+    width: "20px",
+    height: "20px",
+    borderRadius: "50%",
+    background: "{content.border.color}",
+    hoverBackground: "{content.border.color}",
+    content: {
+      borderRadius: "50%",
+      hoverBackground: "{content.background}",
+      width: "16px",
+      height: "16px",
+      shadow: "0px 0.5px 0px 0px rgba(0, 0, 0, 0.08), 0px 1px 1px 0px rgba(0, 0, 0, 0.14)"
+    },
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  colorScheme: {
+    light: {
+      handle: {
+        contentBackground: "{surface.0}"
+      }
+    },
+    dark: {
+      handle: {
+        contentBackground: "{surface.950}"
+      }
+    }
+  }
+};
+var index$m = {
+  root: {
+    gap: "0.5rem",
+    transitionDuration: "{transition.duration}"
+  }
+};
+var index$l = {
+  root: {
+    borderRadius: "{form.field.border.radius}",
+    roundedBorderRadius: "2rem",
+    raisedShadow: "0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 1px 5px 0 rgba(0, 0, 0, 0.12)"
+  }
+};
+var index$k = {
+  root: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    color: "{content.color}",
+    transitionDuration: "{transition.duration}"
+  },
+  gutter: {
+    background: "{content.border.color}"
+  },
+  handle: {
+    size: "24px",
+    background: "transparent",
+    borderRadius: "{content.border.radius}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  }
+};
+var index$j = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  separator: {
+    background: "{content.border.color}",
+    activeBackground: "{primary.color}",
+    margin: "0 0 0 1.625rem",
+    size: "2px"
+  },
+  step: {
+    padding: "0.5rem",
+    gap: "1rem"
+  },
+  stepHeader: {
+    padding: "0",
+    borderRadius: "{content.border.radius}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    },
+    gap: "0.5rem"
+  },
+  stepTitle: {
+    color: "{text.muted.color}",
+    activeColor: "{primary.color}",
+    fontWeight: "500"
+  },
+  stepNumber: {
+    background: "{content.background}",
+    activeBackground: "{content.background}",
+    borderColor: "{content.border.color}",
+    activeBorderColor: "{content.border.color}",
+    color: "{text.muted.color}",
+    activeColor: "{primary.color}",
+    size: "2rem",
+    fontSize: "1.143rem",
+    fontWeight: "500",
+    borderRadius: "50%",
+    shadow: "0px 0.5px 0px 0px rgba(0, 0, 0, 0.06), 0px 1px 1px 0px rgba(0, 0, 0, 0.12)"
+  },
+  steppanels: {
+    padding: "0.875rem 0.5rem 1.125rem 0.5rem"
+  },
+  steppanel: {
+    background: "{content.background}",
+    color: "{content.color}",
+    padding: "0 0 0 1rem",
+    last: {
+      padding: "0 0 0 1.625rem"
+    }
+  }
+};
+var index$i = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  separator: {
+    background: "{content.border.color}"
+  },
+  itemLink: {
+    borderRadius: "{content.border.radius}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    },
+    gap: "0.5rem"
+  },
+  itemLabel: {
+    color: "{text.muted.color}",
+    activeColor: "{primary.color}",
+    fontWeight: "500"
+  },
+  itemNumber: {
+    background: "{content.background}",
+    activeBackground: "{content.background}",
+    borderColor: "{content.border.color}",
+    activeBorderColor: "{content.border.color}",
+    color: "{text.muted.color}",
+    activeColor: "{primary.color}",
+    size: "2rem",
+    fontSize: "1.143rem",
+    fontWeight: "500",
+    borderRadius: "50%",
+    shadow: "0px 0.5px 0px 0px rgba(0, 0, 0, 0.06), 0px 1px 1px 0px rgba(0, 0, 0, 0.12)"
+  }
+};
+var index$h = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  tablist: {
+    borderWidth: "0 0 1px 0",
+    background: "{content.background}",
+    borderColor: "{content.border.color}"
+  },
+  item: {
+    background: "transparent",
+    hoverBackground: "transparent",
+    activeBackground: "transparent",
+    borderWidth: "0 0 1px 0",
+    borderColor: "{content.border.color}",
+    hoverBorderColor: "{content.border.color}",
+    activeBorderColor: "{primary.color}",
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    activeColor: "{primary.color}",
+    padding: "1rem 1.125rem",
+    fontWeight: "600",
+    margin: "0 0 -1px 0",
+    gap: "0.5rem",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  itemIcon: {
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    activeColor: "{primary.color}"
+  },
+  activeBar: {
+    height: "1px",
+    bottom: "-1px",
+    background: "{primary.color}"
+  }
+};
+var index$g = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  tablist: {
+    borderWidth: "0 0 1px 0",
+    background: "{content.background}",
+    borderColor: "{content.border.color}"
+  },
+  tab: {
+    background: "transparent",
+    hoverBackground: "transparent",
+    activeBackground: "transparent",
+    borderWidth: "0 0 1px 0",
+    borderColor: "{content.border.color}",
+    hoverBorderColor: "{content.border.color}",
+    activeBorderColor: "{primary.color}",
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    activeColor: "{primary.color}",
+    padding: "1rem 1.125rem",
+    fontWeight: "600",
+    margin: "0 0 -1px 0",
+    gap: "0.5rem",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  tabpanel: {
+    background: "{content.background}",
+    color: "{content.color}",
+    padding: "0.875rem 1.125rem 1.125rem 1.125rem",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "inset {focus.ring.shadow}"
+    }
+  },
+  navButton: {
+    background: "{content.background}",
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    width: "2.5rem",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "-1px",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  activeBar: {
+    height: "1px",
+    bottom: "-1px",
+    background: "{primary.color}"
+  },
+  colorScheme: {
+    light: {
+      navButton: {
+        boxShadow: "0px 0px 10px 50px rgba(255, 255, 255, 0.6)"
+      }
+    },
+    dark: {
+      navButton: {
+        boxShadow: "0px 0px 10px 50px color-mix(in srgb, {content.background}, transparent 50%)"
+      }
+    }
+  }
+};
+var index$f = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  tabList: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}"
+  },
+  tab: {
+    borderColor: "{content.border.color}",
+    activeBorderColor: "{primary.color}",
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    activeColor: "{primary.color}"
+  },
+  tabPanel: {
+    background: "{content.background}",
+    color: "{content.color}"
+  },
+  navButton: {
+    background: "{content.background}",
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}"
+  },
+  colorScheme: {
+    light: {
+      navButton: {
+        boxShadow: "0px 0px 10px 50px rgba(255, 255, 255, 0.6)"
+      }
+    },
+    dark: {
+      navButton: {
+        boxShadow: "0px 0px 10px 50px color-mix(in srgb, {content.background}, transparent 50%)"
+      }
+    }
+  }
+};
+var index$e = {
+  root: {
+    fontSize: "0.875rem",
+    fontWeight: "700",
+    padding: "0.25rem 0.5rem",
+    gap: "0.25rem",
+    borderRadius: "{content.border.radius}",
+    roundedBorderRadius: "{border.radius.xl}"
+  },
+  icon: {
+    size: "0.75rem"
+  },
+  colorScheme: {
+    light: {
+      primary: {
+        background: "{primary.100}",
+        color: "{primary.700}"
+      },
+      secondary: {
+        background: "{surface.100}",
+        color: "{surface.600}"
+      },
+      success: {
+        background: "{green.100}",
+        color: "{green.700}"
+      },
+      info: {
+        background: "{sky.100}",
+        color: "{sky.700}"
+      },
+      warn: {
+        background: "{orange.100}",
+        color: "{orange.700}"
+      },
+      danger: {
+        background: "{red.100}",
+        color: "{red.700}"
+      },
+      contrast: {
+        background: "{surface.950}",
+        color: "{surface.0}"
+      }
+    },
+    dark: {
+      primary: {
+        background: "color-mix(in srgb, {primary.500}, transparent 84%)",
+        color: "{primary.300}"
+      },
+      secondary: {
+        background: "{surface.800}",
+        color: "{surface.300}"
+      },
+      success: {
+        background: "color-mix(in srgb, {green.500}, transparent 84%)",
+        color: "{green.300}"
+      },
+      info: {
+        background: "color-mix(in srgb, {sky.500}, transparent 84%)",
+        color: "{sky.300}"
+      },
+      warn: {
+        background: "color-mix(in srgb, {orange.500}, transparent 84%)",
+        color: "{orange.300}"
+      },
+      danger: {
+        background: "color-mix(in srgb, {red.500}, transparent 84%)",
+        color: "{red.300}"
+      },
+      contrast: {
+        background: "{surface.0}",
+        color: "{surface.950}"
+      }
+    }
+  }
+};
+var index$d = {
+  root: {
+    background: "{form.field.background}",
+    borderColor: "{form.field.border.color}",
+    color: "{form.field.color}",
+    height: "18rem",
+    padding: "{form.field.padding.y} {form.field.padding.x}",
+    borderRadius: "{form.field.border.radius}"
+  },
+  prompt: {
+    gap: "0.25rem"
+  },
+  commandResponse: {
+    margin: "2px 0"
+  }
+};
+var index$c = {
+  root: {
+    background: "{form.field.background}",
+    disabledBackground: "{form.field.disabled.background}",
+    filledBackground: "{form.field.filled.background}",
+    filledFocusBackground: "{form.field.filled.focus.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.focus.border.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    color: "{form.field.color}",
+    disabledColor: "{form.field.disabled.color}",
+    placeholderColor: "{form.field.placeholder.color}",
+    shadow: "{form.field.shadow}",
+    paddingX: "{form.field.padding.x}",
+    paddingY: "{form.field.padding.y}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{form.field.focus.ring.width}",
+      style: "{form.field.focus.ring.style}",
+      color: "{form.field.focus.ring.color}",
+      offset: "{form.field.focus.ring.offset}",
+      shadow: "{form.field.focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  }
+};
+var index$b = {
+  root: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    color: "{content.color}",
+    borderRadius: "{content.border.radius}",
+    shadow: "{overlay.navigation.shadow}",
+    transitionDuration: "{transition.duration}"
+  },
+  list: {
+    padding: "{navigation.list.padding}",
+    gap: "{navigation.list.gap}"
+  },
+  item: {
+    focusBackground: "{navigation.item.focus.background}",
+    activeBackground: "{navigation.item.active.background}",
+    color: "{navigation.item.color}",
+    focusColor: "{navigation.item.focus.color}",
+    activeColor: "{navigation.item.active.color}",
+    padding: "{navigation.item.padding}",
+    borderRadius: "{navigation.item.border.radius}",
+    gap: "{navigation.item.gap}",
+    icon: {
+      color: "{navigation.item.icon.color}",
+      focusColor: "{navigation.item.icon.focus.color}",
+      activeColor: "{navigation.item.icon.active.color}"
+    }
+  },
+  submenuLabel: {
+    padding: "{navigation.submenu.label.padding}",
+    fontWeight: "{navigation.submenu.label.font.weight}",
+    background: "{navigation.submenu.label.background.}",
+    color: "{navigation.submenu.label.color}"
+  },
+  submenuIcon: {
+    size: "{navigation.submenu.icon.size}",
+    color: "{navigation.submenu.icon.color}",
+    focusColor: "{navigation.submenu.icon.focus.color}",
+    activeColor: "{navigation.submenu.icon.active.color}"
+  },
+  separator: {
+    borderColor: "{content.border.color}"
+  }
+};
+var index$a = {
+  event: {
+    minHeight: "5rem"
+  },
+  horizontal: {
+    eventContent: {
+      padding: "1rem 0"
+    }
+  },
+  vertical: {
+    eventContent: {
+      padding: "0 1rem"
+    }
+  },
+  eventMarker: {
+    size: "1.125rem",
+    borderRadius: "50%",
+    borderWidth: "2px",
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    content: {
+      borderRadius: "50%",
+      size: "0.375rem",
+      background: "{primary.color}",
+      insetShadow: "0px 0.5px 0px 0px rgba(0, 0, 0, 0.06), 0px 1px 1px 0px rgba(0, 0, 0, 0.12)"
+    }
+  },
+  eventConnector: {
+    color: "{content.border.color}",
+    size: "2px"
+  }
+};
+var index$9 = {
+  root: {
+    width: "25rem",
+    borderRadius: "{content.border.radius}",
+    borderWidth: "1px",
+    transitionDuration: "{transition.duration}"
+  },
+  icon: {
+    size: "1.125rem"
+  },
+  content: {
+    padding: "{overlay.popover.padding}",
+    gap: "0.5rem"
+  },
+  text: {
+    gap: "0.5rem"
+  },
+  summary: {
+    fontWeight: "500",
+    fontSize: "1rem"
+  },
+  detail: {
+    fontWeight: "500",
+    fontSize: "0.875rem"
+  },
+  closeButton: {
+    width: "1.75rem",
+    height: "1.75rem",
+    borderRadius: "50%",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      offset: "{focus.ring.offset}"
+    }
+  },
+  closeIcon: {
+    size: "1rem"
+  },
+  colorScheme: {
+    light: {
+      blur: "1.5px",
+      info: {
+        background: "color-mix(in srgb, {blue.50}, transparent 5%)",
+        borderColor: "{blue.200}",
+        color: "{blue.600}",
+        detailColor: "{surface.700}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{blue.100}",
+          focusRing: {
+            color: "{blue.600}",
+            shadow: "none"
+          }
+        }
+      },
+      success: {
+        background: "color-mix(in srgb, {green.50}, transparent 5%)",
+        borderColor: "{green.200}",
+        color: "{green.600}",
+        detailColor: "{surface.700}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{green.100}",
+          focusRing: {
+            color: "{green.600}",
+            shadow: "none"
+          }
+        }
+      },
+      warn: {
+        background: "color-mix(in srgb,{yellow.50}, transparent 5%)",
+        borderColor: "{yellow.200}",
+        color: "{yellow.600}",
+        detailColor: "{surface.700}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{yellow.100}",
+          focusRing: {
+            color: "{yellow.600}",
+            shadow: "none"
+          }
+        }
+      },
+      error: {
+        background: "color-mix(in srgb, {red.50}, transparent 5%)",
+        borderColor: "{red.200}",
+        color: "{red.600}",
+        detailColor: "{surface.700}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{red.100}",
+          focusRing: {
+            color: "{red.600}",
+            shadow: "none"
+          }
+        }
+      },
+      secondary: {
+        background: "{surface.100}",
+        borderColor: "{surface.200}",
+        color: "{surface.600}",
+        detailColor: "{surface.700}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{surface.200}",
+          focusRing: {
+            color: "{surface.600}",
+            shadow: "none"
+          }
+        }
+      },
+      contrast: {
+        background: "{surface.900}",
+        borderColor: "{surface.950}",
+        color: "{surface.50}",
+        detailColor: "{surface.0}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{surface.800}",
+          focusRing: {
+            color: "{surface.50}",
+            shadow: "none"
+          }
+        }
+      }
+    },
+    dark: {
+      blur: "10px",
+      info: {
+        background: "color-mix(in srgb, {blue.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {blue.700}, transparent 64%)",
+        color: "{blue.500}",
+        detailColor: "{surface.0}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "rgba(255, 255, 255, 0.05)",
+          focusRing: {
+            color: "{blue.500}",
+            shadow: "none"
+          }
+        }
+      },
+      success: {
+        background: "color-mix(in srgb, {green.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {green.700}, transparent 64%)",
+        color: "{green.500}",
+        detailColor: "{surface.0}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "rgba(255, 255, 255, 0.05)",
+          focusRing: {
+            color: "{green.500}",
+            shadow: "none"
+          }
+        }
+      },
+      warn: {
+        background: "color-mix(in srgb, {yellow.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {yellow.700}, transparent 64%)",
+        color: "{yellow.500}",
+        detailColor: "{surface.0}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "rgba(255, 255, 255, 0.05)",
+          focusRing: {
+            color: "{yellow.500}",
+            shadow: "none"
+          }
+        }
+      },
+      error: {
+        background: "color-mix(in srgb, {red.500}, transparent 84%)",
+        borderColor: "color-mix(in srgb, {red.700}, transparent 64%)",
+        color: "{red.500}",
+        detailColor: "{surface.0}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "rgba(255, 255, 255, 0.05)",
+          focusRing: {
+            color: "{red.500}",
+            shadow: "none"
+          }
+        }
+      },
+      secondary: {
+        background: "{surface.800}",
+        borderColor: "{surface.700}",
+        color: "{surface.300}",
+        detailColor: "{surface.0}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{surface.700}",
+          focusRing: {
+            color: "{surface.300}",
+            shadow: "none"
+          }
+        }
+      },
+      contrast: {
+        background: "{surface.0}",
+        borderColor: "{surface.100}",
+        color: "{surface.950}",
+        detailColor: "{surface.950}",
+        shadow: "0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)",
+        closeButton: {
+          hoverBackground: "{surface.100}",
+          focusRing: {
+            color: "{surface.950}",
+            shadow: "none"
+          }
+        }
+      }
+    }
+  }
+};
+var index$8 = {
+  root: {
+    padding: "0.5rem 1rem",
+    borderRadius: "{content.border.radius}",
+    gap: "0.5rem",
+    fontWeight: "500",
+    disabledBackground: "{form.field.disabled.background}",
+    disabledBorderColor: "{form.field.disabled.background}",
+    disabledColor: "{form.field.disabled.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  icon: {
+    disabledColor: "{form.field.disabled.color}"
+  },
+  content: {
+    left: "0.25rem",
+    top: "0.25rem",
+    checkedShadow: "0px 1px 2px 0px rgba(0, 0, 0, 0.02), 0px 1px 2px 0px rgba(0, 0, 0, 0.04)"
+  },
+  colorScheme: {
+    light: {
+      root: {
+        background: "{surface.100}",
+        checkedBackground: "{surface.100}",
+        hoverBackground: "{surface.100}",
+        borderColor: "{surface.100}",
+        color: "{surface.500}",
+        hoverColor: "{surface.700}",
+        checkedColor: "{surface.900}",
+        checkedBorderColor: "{surface.100}"
+      },
+      content: {
+        checkedBackground: "{surface.0}"
+      },
+      icon: {
+        color: "{surface.500}",
+        hoverColor: "{surface.700}",
+        checkedColor: "{surface.900}"
+      }
+    },
+    dark: {
+      root: {
+        background: "{surface.950}",
+        checkedBackground: "{surface.950}",
+        hoverBackground: "{surface.950}",
+        borderColor: "{surface.950}",
+        color: "{surface.400}",
+        hoverColor: "{surface.300}",
+        checkedColor: "{surface.0}",
+        checkedBorderColor: "{surface.950}"
+      },
+      content: {
+        checkedBackground: "{surface.800}"
+      },
+      icon: {
+        color: "{surface.400}",
+        hoverColor: "{surface.300}",
+        checkedColor: "{surface.0}"
+      }
+    }
+  }
+};
+var index$7 = {
+  root: {
+    width: "2.5rem",
+    height: "1.5rem",
+    borderRadius: "30px",
+    gap: "0.25rem",
+    shadow: "{form.field.shadow}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    },
+    borderWidth: "1px",
+    borderColor: "transparent",
+    hoverBorderColor: "transparent",
+    checkedBorderColor: "transparent",
+    checkedHoverBorderColor: "transparent",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    transitionDuration: "{form.field.transition.duration}",
+    slideDuration: "0.2s"
+  },
+  handle: {
+    borderRadius: "50%",
+    size: "1rem"
+  },
+  colorScheme: {
+    light: {
+      root: {
+        background: "{surface.300}",
+        hoverBackground: "{surface.400}",
+        checkedBackground: "{primary.color}",
+        checkedHoverBackground: "{primary.hover.color}"
+      },
+      handle: {
+        background: "{surface.0}",
+        hoverBackground: "{surface.0}",
+        checkedBackground: "{surface.0}",
+        checkedHoverBackground: "{surface.0}"
+      }
+    },
+    dark: {
+      root: {
+        background: "{surface.700}",
+        hoverBackground: "{surface.600}",
+        checkedBackground: "{primary.color}",
+        checkedHoverBackground: "{primary.hover.color}"
+      },
+      handle: {
+        background: "{surface.400}",
+        hoverBackground: "{surface.300}",
+        checkedBackground: "{surface.900}",
+        checkedHoverBackground: "{surface.900}"
+      }
+    }
+  }
+};
+var index$6 = {
+  root: {
+    background: "{content.background}",
+    borderColor: "{content.border.color}",
+    borderRadius: "{content.border.radius}",
+    color: "{content.color}",
+    gap: "0.5rem",
+    padding: "0.75rem"
+  }
+};
+var index$5 = {
+  root: {
+    maxWidth: "12.5rem",
+    gutter: "0.25rem",
+    shadow: "{overlay.popover.shadow}",
+    padding: "0.5rem 0.75rem",
+    borderRadius: "{overlay.popover.border.radius}"
+  },
+  colorScheme: {
+    light: {
+      root: {
+        background: "{surface.700}",
+        color: "{surface.0}"
+      }
+    },
+    dark: {
+      root: {
+        background: "{surface.700}",
+        color: "{surface.0}"
+      }
+    }
+  }
+};
+var index$4 = {
+  root: {
+    background: "{content.background}",
+    color: "{content.color}",
+    padding: "1rem",
+    gap: "2px",
+    indent: "1rem",
+    transitionDuration: "{transition.duration}"
+  },
+  node: {
+    padding: "0.25rem 0.5rem",
+    borderRadius: "{content.border.radius}",
+    hoverBackground: "{content.hover.background}",
+    selectedBackground: "{highlight.background}",
+    color: "{text.color}",
+    hoverColor: "{text.hover.color}",
+    selectedColor: "{highlight.color}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "-1px",
+      shadow: "{focus.ring.shadow}"
+    },
+    gap: "0.25rem"
+  },
+  nodeIcon: {
+    color: "{text.muted.color}",
+    hoverColor: "{text.hover.muted.color}",
+    selectedColor: "{highlight.color}"
+  },
+  nodeToggleButton: {
+    borderRadius: "50%",
+    size: "1.75rem",
+    hoverBackground: "{content.hover.background}",
+    selectedHoverBackground: "{content.background}",
+    color: "{text.muted.color}",
+    hoverColor: "{text.hover.muted.color}",
+    selectedHoverColor: "{primary.color}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  loadingIcon: {
+    size: "2rem"
+  }
+};
+var index$3 = {
+  root: {
+    background: "{form.field.background}",
+    disabledBackground: "{form.field.disabled.background}",
+    filledBackground: "{form.field.filled.background}",
+    filledFocusBackground: "{form.field.filled.focus.background}",
+    borderColor: "{form.field.border.color}",
+    hoverBorderColor: "{form.field.hover.border.color}",
+    focusBorderColor: "{form.field.focus.border.color}",
+    invalidBorderColor: "{form.field.invalid.border.color}",
+    color: "{form.field.color}",
+    disabledColor: "{form.field.disabled.color}",
+    placeholderColor: "{form.field.placeholder.color}",
+    shadow: "{form.field.shadow}",
+    paddingX: "{form.field.padding.x}",
+    paddingY: "{form.field.padding.y}",
+    borderRadius: "{form.field.border.radius}",
+    focusRing: {
+      width: "{form.field.focus.ring.width}",
+      style: "{form.field.focus.ring.style}",
+      color: "{form.field.focus.ring.color}",
+      offset: "{form.field.focus.ring.offset}",
+      shadow: "{form.field.focus.ring.shadow}"
+    },
+    transitionDuration: "{form.field.transition.duration}"
+  },
+  dropdown: {
+    width: "2.5rem",
+    color: "{form.field.icon.color}"
+  },
+  overlay: {
+    background: "{overlay.select.background}",
+    borderColor: "{overlay.select.border.color}",
+    borderRadius: "{overlay.select.border.radius}",
+    color: "{overlay.select.color}",
+    shadow: "{overlay.select.shadow}"
+  },
+  tree: {
+    padding: "{list.padding}"
+  },
+  emptyMessage: {
+    padding: "{list.option.padding}"
+  },
+  chip: {
+    borderRadius: "{border.radius.sm}"
+  }
+};
+var index$2 = {
+  root: {
+    transitionDuration: "{transition.duration}"
+  },
+  header: {
+    background: "{content.background}",
+    borderColor: "{treetable.border.color}",
+    color: "{content.color}",
+    borderWidth: "0 0 1px 0",
+    padding: "0.75rem 1rem"
+  },
+  headerCell: {
+    background: "{content.background}",
+    hoverBackground: "{content.hover.background}",
+    selectedBackground: "{highlight.background}",
+    borderColor: "{treetable.border.color}",
+    color: "{content.color}",
+    hoverColor: "{content.hover.color}",
+    selectedColor: "{highlight.color}",
+    gap: "0.5rem",
+    padding: "0.75rem 1rem",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "-1px",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  columnTitle: {
+    fontWeight: "600"
+  },
+  row: {
+    background: "{content.background}",
+    hoverBackground: "{content.hover.background}",
+    selectedBackground: "{highlight.background}",
+    color: "{content.color}",
+    hoverColor: "{content.hover.color}",
+    selectedColor: "{highlight.color}",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "-1px",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  bodyCell: {
+    borderColor: "{treetable.border.color}",
+    padding: "0.75rem 1rem",
+    gap: "0.5rem"
+  },
+  footerCell: {
+    background: "{content.background}",
+    borderColor: "{treetable.border.color}",
+    color: "{content.color}",
+    padding: "0.75rem 1rem"
+  },
+  columnFooter: {
+    fontWeight: "600"
+  },
+  footer: {
+    background: "{content.background}",
+    borderColor: "{treetable.border.color}",
+    color: "{content.color}",
+    borderWidth: "0 0 1px 0",
+    padding: "0.75rem 1rem"
+  },
+  columnResizerWidth: "0.5rem",
+  resizeIndicator: {
+    width: "1px",
+    color: "{primary.color}"
+  },
+  sortIcon: {
+    color: "{text.muted.color}",
+    hoverColor: "{text.hover.muted.color}"
+  },
+  loadingIcon: {
+    size: "2rem"
+  },
+  nodeToggleButton: {
+    hoverBackground: "{content.hover.background}",
+    selectedHoverBackground: "{content.background}",
+    color: "{text.muted.color}",
+    hoverColor: "{text.color}",
+    selectedHoverColor: "{primary.color}",
+    size: "1.75rem",
+    borderRadius: "50%",
+    focusRing: {
+      width: "{focus.ring.width}",
+      style: "{focus.ring.style}",
+      color: "{focus.ring.color}",
+      offset: "{focus.ring.offset}",
+      shadow: "{focus.ring.shadow}"
+    }
+  },
+  paginatorTop: {
+    borderColor: "{content.border.color}",
+    borderWidth: "0 0 1px 0"
+  },
+  paginatorBottom: {
+    borderColor: "{content.border.color}",
+    borderWidth: "0 0 1px 0"
+  },
+  colorScheme: {
+    light: {
+      root: {
+        borderColor: "{content.border.color}"
+      },
+      bodyCell: {
+        selectedBorderColor: "{primary.100}"
+      }
+    },
+    dark: {
+      root: {
+        borderColor: "{surface.800}"
+      },
+      bodyCell: {
+        selectedBorderColor: "{primary.900}"
+      }
+    }
+  }
+};
+var index$1 = {
+  primitive: {
+    borderRadius: {
+      none: "0",
+      xs: "2px",
+      sm: "4px",
+      md: "6px",
+      lg: "8px",
+      xl: "12px"
+    },
+    emerald: {
+      50: "#ecfdf5",
+      100: "#d1fae5",
+      200: "#a7f3d0",
+      300: "#6ee7b7",
+      400: "#34d399",
+      500: "#10b981",
+      600: "#059669",
+      700: "#047857",
+      800: "#065f46",
+      900: "#064e3b",
+      950: "#022c22"
+    },
+    green: {
+      50: "#f0fdf4",
+      100: "#dcfce7",
+      200: "#bbf7d0",
+      300: "#86efac",
+      400: "#4ade80",
+      500: "#22c55e",
+      600: "#16a34a",
+      700: "#15803d",
+      800: "#166534",
+      900: "#14532d",
+      950: "#052e16"
+    },
+    lime: {
+      50: "#f7fee7",
+      100: "#ecfccb",
+      200: "#d9f99d",
+      300: "#bef264",
+      400: "#a3e635",
+      500: "#84cc16",
+      600: "#65a30d",
+      700: "#4d7c0f",
+      800: "#3f6212",
+      900: "#365314",
+      950: "#1a2e05"
+    },
+    red: {
+      50: "#fef2f2",
+      100: "#fee2e2",
+      200: "#fecaca",
+      300: "#fca5a5",
+      400: "#f87171",
+      500: "#ef4444",
+      600: "#dc2626",
+      700: "#b91c1c",
+      800: "#991b1b",
+      900: "#7f1d1d",
+      950: "#450a0a"
+    },
+    orange: {
+      50: "#fff7ed",
+      100: "#ffedd5",
+      200: "#fed7aa",
+      300: "#fdba74",
+      400: "#fb923c",
+      500: "#f97316",
+      600: "#ea580c",
+      700: "#c2410c",
+      800: "#9a3412",
+      900: "#7c2d12",
+      950: "#431407"
+    },
+    amber: {
+      50: "#fffbeb",
+      100: "#fef3c7",
+      200: "#fde68a",
+      300: "#fcd34d",
+      400: "#fbbf24",
+      500: "#f59e0b",
+      600: "#d97706",
+      700: "#b45309",
+      800: "#92400e",
+      900: "#78350f",
+      950: "#451a03"
+    },
+    yellow: {
+      50: "#fefce8",
+      100: "#fef9c3",
+      200: "#fef08a",
+      300: "#fde047",
+      400: "#facc15",
+      500: "#eab308",
+      600: "#ca8a04",
+      700: "#a16207",
+      800: "#854d0e",
+      900: "#713f12",
+      950: "#422006"
+    },
+    teal: {
+      50: "#f0fdfa",
+      100: "#ccfbf1",
+      200: "#99f6e4",
+      300: "#5eead4",
+      400: "#2dd4bf",
+      500: "#14b8a6",
+      600: "#0d9488",
+      700: "#0f766e",
+      800: "#115e59",
+      900: "#134e4a",
+      950: "#042f2e"
+    },
+    cyan: {
+      50: "#ecfeff",
+      100: "#cffafe",
+      200: "#a5f3fc",
+      300: "#67e8f9",
+      400: "#22d3ee",
+      500: "#06b6d4",
+      600: "#0891b2",
+      700: "#0e7490",
+      800: "#155e75",
+      900: "#164e63",
+      950: "#083344"
+    },
+    sky: {
+      50: "#f0f9ff",
+      100: "#e0f2fe",
+      200: "#bae6fd",
+      300: "#7dd3fc",
+      400: "#38bdf8",
+      500: "#0ea5e9",
+      600: "#0284c7",
+      700: "#0369a1",
+      800: "#075985",
+      900: "#0c4a6e",
+      950: "#082f49"
+    },
+    blue: {
+      50: "#eff6ff",
+      100: "#dbeafe",
+      200: "#bfdbfe",
+      300: "#93c5fd",
+      400: "#60a5fa",
+      500: "#3b82f6",
+      600: "#2563eb",
+      700: "#1d4ed8",
+      800: "#1e40af",
+      900: "#1e3a8a",
+      950: "#172554"
+    },
+    indigo: {
+      50: "#eef2ff",
+      100: "#e0e7ff",
+      200: "#c7d2fe",
+      300: "#a5b4fc",
+      400: "#818cf8",
+      500: "#6366f1",
+      600: "#4f46e5",
+      700: "#4338ca",
+      800: "#3730a3",
+      900: "#312e81",
+      950: "#1e1b4b"
+    },
+    violet: {
+      50: "#f5f3ff",
+      100: "#ede9fe",
+      200: "#ddd6fe",
+      300: "#c4b5fd",
+      400: "#a78bfa",
+      500: "#8b5cf6",
+      600: "#7c3aed",
+      700: "#6d28d9",
+      800: "#5b21b6",
+      900: "#4c1d95",
+      950: "#2e1065"
+    },
+    purple: {
+      50: "#faf5ff",
+      100: "#f3e8ff",
+      200: "#e9d5ff",
+      300: "#d8b4fe",
+      400: "#c084fc",
+      500: "#a855f7",
+      600: "#9333ea",
+      700: "#7e22ce",
+      800: "#6b21a8",
+      900: "#581c87",
+      950: "#3b0764"
+    },
+    fuchsia: {
+      50: "#fdf4ff",
+      100: "#fae8ff",
+      200: "#f5d0fe",
+      300: "#f0abfc",
+      400: "#e879f9",
+      500: "#d946ef",
+      600: "#c026d3",
+      700: "#a21caf",
+      800: "#86198f",
+      900: "#701a75",
+      950: "#4a044e"
+    },
+    pink: {
+      50: "#fdf2f8",
+      100: "#fce7f3",
+      200: "#fbcfe8",
+      300: "#f9a8d4",
+      400: "#f472b6",
+      500: "#ec4899",
+      600: "#db2777",
+      700: "#be185d",
+      800: "#9d174d",
+      900: "#831843",
+      950: "#500724"
+    },
+    rose: {
+      50: "#fff1f2",
+      100: "#ffe4e6",
+      200: "#fecdd3",
+      300: "#fda4af",
+      400: "#fb7185",
+      500: "#f43f5e",
+      600: "#e11d48",
+      700: "#be123c",
+      800: "#9f1239",
+      900: "#881337",
+      950: "#4c0519"
+    },
+    slate: {
+      50: "#f8fafc",
+      100: "#f1f5f9",
+      200: "#e2e8f0",
+      300: "#cbd5e1",
+      400: "#94a3b8",
+      500: "#64748b",
+      600: "#475569",
+      700: "#334155",
+      800: "#1e293b",
+      900: "#0f172a",
+      950: "#020617"
+    },
+    gray: {
+      50: "#f9fafb",
+      100: "#f3f4f6",
+      200: "#e5e7eb",
+      300: "#d1d5db",
+      400: "#9ca3af",
+      500: "#6b7280",
+      600: "#4b5563",
+      700: "#374151",
+      800: "#1f2937",
+      900: "#111827",
+      950: "#030712"
+    },
+    zinc: {
+      50: "#fafafa",
+      100: "#f4f4f5",
+      200: "#e4e4e7",
+      300: "#d4d4d8",
+      400: "#a1a1aa",
+      500: "#71717a",
+      600: "#52525b",
+      700: "#3f3f46",
+      800: "#27272a",
+      900: "#18181b",
+      950: "#09090b"
+    },
+    neutral: {
+      50: "#fafafa",
+      100: "#f5f5f5",
+      200: "#e5e5e5",
+      300: "#d4d4d4",
+      400: "#a3a3a3",
+      500: "#737373",
+      600: "#525252",
+      700: "#404040",
+      800: "#262626",
+      900: "#171717",
+      950: "#0a0a0a"
+    },
+    stone: {
+      50: "#fafaf9",
+      100: "#f5f5f4",
+      200: "#e7e5e4",
+      300: "#d6d3d1",
+      400: "#a8a29e",
+      500: "#78716c",
+      600: "#57534e",
+      700: "#44403c",
+      800: "#292524",
+      900: "#1c1917",
+      950: "#0c0a09"
+    }
+  },
+  semantic: {
+    transitionDuration: "0.2s",
+    focusRing: {
+      width: "1px",
+      style: "solid",
+      color: "{primary.color}",
+      offset: "2px",
+      shadow: "none"
+    },
+    disabledOpacity: "0.6",
+    iconSize: "1rem",
+    anchorGutter: "2px",
+    primary: {
+      50: "{emerald.50}",
+      100: "{emerald.100}",
+      200: "{emerald.200}",
+      300: "{emerald.300}",
+      400: "{emerald.400}",
+      500: "{emerald.500}",
+      600: "{emerald.600}",
+      700: "{emerald.700}",
+      800: "{emerald.800}",
+      900: "{emerald.900}",
+      950: "{emerald.950}"
+    },
+    formField: {
+      paddingX: "0.75rem",
+      paddingY: "0.5rem",
+      borderRadius: "{border.radius.md}",
+      focusRing: {
+        width: "0",
+        style: "none",
+        color: "transparent",
+        offset: "0",
+        shadow: "none"
+      },
+      transitionDuration: "{transition.duration}"
+    },
+    list: {
+      padding: "0.25rem 0.25rem",
+      gap: "2px",
+      header: {
+        padding: "0.5rem 0.75rem 0.25rem 0.75rem"
+      },
+      option: {
+        padding: "0.5rem 0.75rem",
+        borderRadius: "{border.radius.sm}"
+      },
+      optionGroup: {
+        padding: "0.5rem 0.75rem",
+        fontWeight: "600"
+      }
+    },
+    content: {
+      borderRadius: "{border.radius.md}"
+    },
+    mask: {
+      transitionDuration: "0.15s"
+    },
+    navigation: {
+      list: {
+        padding: "0.25rem 0.25rem",
+        gap: "2px"
+      },
+      item: {
+        padding: "0.5rem 0.75rem",
+        borderRadius: "{border.radius.sm}",
+        gap: "0.5rem"
+      },
+      submenuLabel: {
+        padding: "0.5rem 0.75rem",
+        fontWeight: "600"
+      },
+      submenuIcon: {
+        size: "0.875rem"
+      }
+    },
+    overlay: {
+      select: {
+        borderRadius: "{border.radius.md}",
+        shadow: "0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -2px rgba(0, 0, 0, 0.1)"
+      },
+      popover: {
+        borderRadius: "{border.radius.md}",
+        padding: "0.75rem",
+        shadow: "0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -2px rgba(0, 0, 0, 0.1)"
+      },
+      modal: {
+        borderRadius: "{border.radius.xl}",
+        padding: "1.25rem",
+        shadow: "0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 8px 10px -6px rgba(0, 0, 0, 0.1)"
+      },
+      navigation: {
+        shadow: "0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -2px rgba(0, 0, 0, 0.1)"
+      }
+    },
+    colorScheme: {
+      light: {
+        surface: {
+          0: "#ffffff",
+          50: "{slate.50}",
+          100: "{slate.100}",
+          200: "{slate.200}",
+          300: "{slate.300}",
+          400: "{slate.400}",
+          500: "{slate.500}",
+          600: "{slate.600}",
+          700: "{slate.700}",
+          800: "{slate.800}",
+          900: "{slate.900}",
+          950: "{slate.950}"
+        },
+        primary: {
+          color: "{primary.500}",
+          contrastColor: "#ffffff",
+          hoverColor: "{primary.600}",
+          activeColor: "{primary.700}"
+        },
+        highlight: {
+          background: "{primary.50}",
+          focusBackground: "{primary.100}",
+          color: "{primary.700}",
+          focusColor: "{primary.800}"
+        },
+        mask: {
+          background: "rgba(0,0,0,0.4)",
+          color: "{surface.200}"
+        },
+        formField: {
+          background: "{surface.0}",
+          disabledBackground: "{surface.200}",
+          filledBackground: "{surface.50}",
+          filledFocusBackground: "{surface.50}",
+          borderColor: "{surface.300}",
+          hoverBorderColor: "{surface.400}",
+          focusBorderColor: "{primary.color}",
+          invalidBorderColor: "{red.400}",
+          color: "{surface.700}",
+          disabledColor: "{surface.500}",
+          placeholderColor: "{surface.500}",
+          floatLabelColor: "{surface.500}",
+          floatLabelFocusColor: "{surface.500}",
+          floatLabelInvalidColor: "{red.400}",
+          iconColor: "{surface.400}",
+          shadow: "0 0 #0000, 0 0 #0000, 0 1px 2px 0 rgba(18, 18, 23, 0.05)"
+        },
+        text: {
+          color: "{surface.700}",
+          hoverColor: "{surface.800}",
+          mutedColor: "{surface.500}",
+          hoverMutedColor: "{surface.600}"
+        },
+        content: {
+          background: "{surface.0}",
+          hoverBackground: "{surface.100}",
+          borderColor: "{surface.200}",
+          color: "{text.color}",
+          hoverColor: "{text.hover.color}"
+        },
+        overlay: {
+          select: {
+            background: "{surface.0}",
+            borderColor: "{surface.200}",
+            color: "{text.color}"
+          },
+          popover: {
+            background: "{surface.0}",
+            borderColor: "{surface.200}",
+            color: "{text.color}"
+          },
+          modal: {
+            background: "{surface.0}",
+            borderColor: "{surface.200}",
+            color: "{text.color}"
+          }
+        },
+        list: {
+          option: {
+            focusBackground: "{surface.100}",
+            selectedBackground: "{highlight.background}",
+            selectedFocusBackground: "{highlight.focus.background}",
+            color: "{text.color}",
+            focusColor: "{text.hover.color}",
+            selectedColor: "{highlight.color}",
+            selectedFocusColor: "{highlight.focus.color}",
+            icon: {
+              color: "{surface.400}",
+              focusColor: "{surface.500}"
+            }
+          },
+          optionGroup: {
+            background: "transparent",
+            color: "{text.muted.color}"
+          }
+        },
+        navigation: {
+          item: {
+            focusBackground: "{surface.100}",
+            activeBackground: "{surface.100}",
+            color: "{text.color}",
+            focusColor: "{text.hover.color}",
+            activeColor: "{text.hover.color}",
+            icon: {
+              color: "{surface.400}",
+              focusColor: "{surface.500}",
+              activeColor: "{surface.500}"
+            }
+          },
+          submenuLabel: {
+            background: "transparent",
+            color: "{text.muted.color}"
+          },
+          submenuIcon: {
+            color: "{surface.400}",
+            focusColor: "{surface.500}",
+            activeColor: "{surface.500}"
+          }
+        }
+      },
+      dark: {
+        surface: {
+          0: "#ffffff",
+          50: "{zinc.50}",
+          100: "{zinc.100}",
+          200: "{zinc.200}",
+          300: "{zinc.300}",
+          400: "{zinc.400}",
+          500: "{zinc.500}",
+          600: "{zinc.600}",
+          700: "{zinc.700}",
+          800: "{zinc.800}",
+          900: "{zinc.900}",
+          950: "{zinc.950}"
+        },
+        primary: {
+          color: "{primary.400}",
+          contrastColor: "{surface.900}",
+          hoverColor: "{primary.300}",
+          activeColor: "{primary.200}"
+        },
+        highlight: {
+          background: "color-mix(in srgb, {primary.400}, transparent 84%)",
+          focusBackground: "color-mix(in srgb, {primary.400}, transparent 76%)",
+          color: "rgba(255,255,255,.87)",
+          focusColor: "rgba(255,255,255,.87)"
+        },
+        mask: {
+          background: "rgba(0,0,0,0.6)",
+          color: "{surface.200}"
+        },
+        formField: {
+          background: "{surface.950}",
+          disabledBackground: "{surface.700}",
+          filledBackground: "{surface.800}",
+          filledFocusBackground: "{surface.800}",
+          borderColor: "{surface.700}",
+          hoverBorderColor: "{surface.600}",
+          focusBorderColor: "{primary.color}",
+          invalidBorderColor: "{red.300}",
+          color: "{surface.0}",
+          disabledColor: "{surface.400}",
+          placeholderColor: "{surface.400}",
+          floatLabelColor: "{surface.400}",
+          floatLabelFocusColor: "{surface.400}",
+          floatLabelInvalidColor: "{red.300}",
+          iconColor: "{surface.400}",
+          shadow: "0 0 #0000, 0 0 #0000, 0 1px 2px 0 rgba(18, 18, 23, 0.05)"
+        },
+        text: {
+          color: "{surface.0}",
+          hoverColor: "{surface.0}",
+          mutedColor: "{surface.400}",
+          hoverMutedColor: "{surface.300}"
+        },
+        content: {
+          background: "{surface.900}",
+          hoverBackground: "{surface.800}",
+          borderColor: "{surface.700}",
+          color: "{text.color}",
+          hoverColor: "{text.hover.color}"
+        },
+        overlay: {
+          select: {
+            background: "{surface.900}",
+            borderColor: "{surface.700}",
+            color: "{text.color}"
+          },
+          popover: {
+            background: "{surface.900}",
+            borderColor: "{surface.700}",
+            color: "{text.color}"
+          },
+          modal: {
+            background: "{surface.900}",
+            borderColor: "{surface.700}",
+            color: "{text.color}"
+          }
+        },
+        list: {
+          option: {
+            focusBackground: "{surface.800}",
+            selectedBackground: "{highlight.background}",
+            selectedFocusBackground: "{highlight.focus.background}",
+            color: "{text.color}",
+            focusColor: "{text.hover.color}",
+            selectedColor: "{highlight.color}",
+            selectedFocusColor: "{highlight.focus.color}",
+            icon: {
+              color: "{surface.500}",
+              focusColor: "{surface.400}"
+            }
+          },
+          optionGroup: {
+            background: "transparent",
+            color: "{text.muted.color}"
+          }
+        },
+        navigation: {
+          item: {
+            focusBackground: "{surface.800}",
+            activeBackground: "{surface.800}",
+            color: "{text.color}",
+            focusColor: "{text.hover.color}",
+            activeColor: "{text.hover.color}",
+            icon: {
+              color: "{surface.500}",
+              focusColor: "{surface.400}",
+              activeColor: "{surface.400}"
+            }
+          },
+          submenuLabel: {
+            background: "transparent",
+            color: "{text.muted.color}"
+          },
+          submenuIcon: {
+            color: "{surface.500}",
+            focusColor: "{surface.400}",
+            activeColor: "{surface.400}"
+          }
+        }
+      }
+    }
+  },
+  components: {
+    accordion: index$1l,
+    autocomplete: index$1k,
+    avatar: index$1j,
+    badge: index$1i,
+    blockui: index$1h,
+    breadcrumb: index$1g,
+    button: index$1f,
+    datepicker: index$13,
+    card: index$1e,
+    carousel: index$1d,
+    cascadeselect: index$1c,
+    checkbox: index$1b,
+    chip: index$1a,
+    colorpicker: index$19,
+    confirmdialog: index$18,
+    confirmpopup: index$17,
+    contextmenu: index$16,
+    dataview: index$14,
+    datatable: index$15,
+    dialog: index$12,
+    divider: index$11,
+    dock: index$10,
+    drawer: index$$,
+    editor: index$_,
+    fieldset: index$Z,
+    fileupload: index$Y,
+    floatlabel: index$X,
+    galleria: index$W,
+    iconfield: index$V,
+    image: index$U,
+    inlinemessage: index$T,
+    inplace: index$S,
+    inputchips: index$R,
+    inputgroup: index$Q,
+    inputnumber: index$P,
+    inputtext: index$O,
+    knob: index$N,
+    listbox: index$M,
+    megamenu: index$L,
+    menu: index$K,
+    menubar: index$J,
+    message: index$I,
+    metergroup: index$H,
+    multiselect: index$G,
+    orderlist: index$F,
+    organizationchart: index$E,
+    overlaybadge: index$D,
+    popover: index$x,
+    paginator: index$C,
+    password: index$z,
+    panel: index$B,
+    panelmenu: index$A,
+    picklist: index$y,
+    progressbar: index$w,
+    progressspinner: index$v,
+    radiobutton: index$u,
+    rating: index$t,
+    scrollpanel: index$r,
+    select: index$q,
+    selectbutton: index$p,
+    skeleton: index$o,
+    slider: index$n,
+    speeddial: index$m,
+    splitter: index$k,
+    splitbutton: index$l,
+    stepper: index$j,
+    steps: index$i,
+    tabmenu: index$h,
+    tabs: index$g,
+    tabview: index$f,
+    textarea: index$c,
+    tieredmenu: index$b,
+    tag: index$e,
+    terminal: index$d,
+    timeline: index$a,
+    togglebutton: index$8,
+    toggleswitch: index$7,
+    tree: index$4,
+    treeselect: index$3,
+    treetable: index$2,
+    toast: index$9,
+    toolbar: index$6
+  },
+  directives: {
+    tooltip: index$5,
+    ripple: index$s
+  }
+};
+function ownKeys$2$2(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$2$2, "ownKeys$2$2");
+function _objectSpread$2$2(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$2$2(Object(t), true).forEach(function(r2) {
+      _defineProperty$3$1(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$2$2(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$2$2, "_objectSpread$2$2");
+function _defineProperty$3$1(e, r, t) {
+  return (r = _toPropertyKey$3$1(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$3$1, "_defineProperty$3$1");
+function _toPropertyKey$3$1(t) {
+  var i2 = _toPrimitive$3$1(t, "string");
+  return "symbol" == _typeof$3$1(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$3$1, "_toPropertyKey$3$1");
+function _toPrimitive$3$1(t, r) {
+  if ("object" != _typeof$3$1(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$3$1(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$3$1, "_toPrimitive$3$1");
+function _toConsumableArray$2$1(r) {
+  return _arrayWithoutHoles$2$1(r) || _iterableToArray$2$1(r) || _unsupportedIterableToArray$3$1(r) || _nonIterableSpread$2$1();
+}
+__name(_toConsumableArray$2$1, "_toConsumableArray$2$1");
+function _nonIterableSpread$2$1() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$2$1, "_nonIterableSpread$2$1");
+function _unsupportedIterableToArray$3$1(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$3$1(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$3$1(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$3$1, "_unsupportedIterableToArray$3$1");
+function _iterableToArray$2$1(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$2$1, "_iterableToArray$2$1");
+function _arrayWithoutHoles$2$1(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$3$1(r);
+}
+__name(_arrayWithoutHoles$2$1, "_arrayWithoutHoles$2$1");
+function _arrayLikeToArray$3$1(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$3$1, "_arrayLikeToArray$3$1");
+function _typeof$3$1(o) {
+  "@babel/helpers - typeof";
+  return _typeof$3$1 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$3$1(o);
+}
+__name(_typeof$3$1, "_typeof$3$1");
+var SharedUtils = {
+  object: {
+    isEmpty: /* @__PURE__ */ __name(function isEmpty2(value3) {
+      return value3 === null || value3 === void 0 || value3 === "" || Array.isArray(value3) && value3.length === 0 || !(value3 instanceof Date) && _typeof$3$1(value3) === "object" && Object.keys(value3).length === 0;
+    }, "isEmpty"),
+    isNotEmpty: /* @__PURE__ */ __name(function isNotEmpty2(value3) {
+      return !this.isEmpty(value3);
+    }, "isNotEmpty"),
+    isFunction: /* @__PURE__ */ __name(function isFunction2(value3) {
+      return !!(value3 && value3.constructor && value3.call && value3.apply);
+    }, "isFunction"),
+    isObject: /* @__PURE__ */ __name(function isObject2(value3) {
+      var empty = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : true;
+      return value3 instanceof Object && value3.constructor === Object && (empty || Object.keys(value3).length !== 0);
+    }, "isObject"),
+    isArray: /* @__PURE__ */ __name(function isArray2(value3) {
+      var empty = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : true;
+      return Array.isArray(value3) && (empty || value3.length !== 0);
+    }, "isArray"),
+    isString: /* @__PURE__ */ __name(function isString2(value3) {
+      var empty = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : true;
+      return typeof value3 === "string" && (empty || value3 !== "");
+    }, "isString"),
+    isNumber: /* @__PURE__ */ __name(function isNumber2(value3) {
+      return !isNaN(value3);
+    }, "isNumber"),
+    toFlatCase: /* @__PURE__ */ __name(function toFlatCase2(str) {
+      return this.isString(str) ? str.replace(/(-|_)/g, "").toLowerCase() : str;
+    }, "toFlatCase"),
+    toKebabCase: /* @__PURE__ */ __name(function toKebabCase2(str) {
+      return this.isString(str) ? str.replace(/(_)/g, "-").replace(/[A-Z]/g, function(c, i2) {
+        return i2 === 0 ? c : "-" + c.toLowerCase();
+      }).toLowerCase() : str;
+    }, "toKebabCase"),
+    toTokenKey: /* @__PURE__ */ __name(function toTokenKey2(str) {
+      return this.isString(str) ? str.replace(/[A-Z]/g, function(c, i2) {
+        return i2 === 0 ? c : "." + c.toLowerCase();
+      }).toLowerCase() : str;
+    }, "toTokenKey"),
+    merge: /* @__PURE__ */ __name(function merge2(value1, value22) {
+      if (this.isArray(value1)) {
+        value1.push.apply(value1, _toConsumableArray$2$1(value22 || []));
+      } else if (this.isObject(value1)) {
+        Object.assign(value1, value22);
+      }
+    }, "merge"),
+    mergeKeysByRegex: /* @__PURE__ */ __name(function mergeKeysByRegex() {
+      var _this = this;
+      var target = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+      var source = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+      var regex = arguments.length > 2 ? arguments[2] : void 0;
+      var mergedObj = _objectSpread$2$2({}, target);
+      Object.keys(source).forEach(function(key) {
+        if (_this.test(regex, key)) {
+          if (_this.isObject(source[key]) && key in target && _this.isObject(target[key])) {
+            mergedObj[key] = _this.mergeKeysByRegex(target[key], source[key], regex);
+          } else {
+            mergedObj[key] = source[key];
+          }
+        } else {
+          mergedObj[key] = source[key];
+        }
+      });
+      return mergedObj;
+    }, "mergeKeysByRegex"),
+    mergeKeys: /* @__PURE__ */ __name(function mergeKeys2() {
+      var _this2 = this;
+      var _mergeKeys = /* @__PURE__ */ __name(function _mergeKeys2() {
+        var target = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+        var source = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+        var mergedObj = _objectSpread$2$2({}, target);
+        Object.keys(source).forEach(function(key) {
+          if (_this2.isObject(source[key]) && key in target && _this2.isObject(target[key])) {
+            mergedObj[key] = _mergeKeys2(target[key], source[key]);
+          } else {
+            mergedObj[key] = source[key];
+          }
+        });
+        return mergedObj;
+      }, "_mergeKeys");
+      for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {
+        args[_key] = arguments[_key];
+      }
+      return args.reduce(function(acc, obj, i2) {
+        return i2 === 0 ? obj : _mergeKeys(acc, obj);
+      }, {});
+    }, "mergeKeys"),
+    getItemValue: /* @__PURE__ */ __name(function getItemValue(obj) {
+      for (var _len2 = arguments.length, params = new Array(_len2 > 1 ? _len2 - 1 : 0), _key2 = 1; _key2 < _len2; _key2++) {
+        params[_key2 - 1] = arguments[_key2];
+      }
+      return this.isFunction(obj) ? obj.apply(void 0, params) : obj;
+    }, "getItemValue"),
+    getOptionValue: /* @__PURE__ */ __name(function getOptionValue(options3) {
+      var _this3 = this;
+      var key = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+      var params = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {};
+      var fKeys = this.toFlatCase(key).split(".");
+      var fKey = fKeys.shift();
+      return fKey ? this.isObject(options3) ? this.getOptionValue(this.getItemValue(options3[Object.keys(options3).find(function(k) {
+        return _this3.toFlatCase(k) === fKey;
+      }) || ""], params), fKeys.join("."), params) : void 0 : this.getItemValue(options3, params);
+    }, "getOptionValue"),
+    test: /* @__PURE__ */ __name(function test2(regex, str) {
+      if (regex) {
+        var match = regex.test(str);
+        regex.lastIndex = 0;
+        return match;
+      }
+      return false;
+    }, "test"),
+    toValue: /* @__PURE__ */ __name(function toValue2(value3) {
+      return this.isObject(value3) && value3.hasOwnProperty("value") && value3.hasOwnProperty("type") ? value3.value : value3;
+    }, "toValue"),
+    toUnit: /* @__PURE__ */ __name(function toUnit2(value3) {
+      var _this4 = this;
+      var variable = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+      var excludedProperties = ["opacity", "z-index", "line-height", "font-weight", "flex", "flex-grow", "flex-shrink", "order"];
+      if (!excludedProperties.some(function(property) {
+        return variable.endsWith(property);
+      })) {
+        var val = "".concat(value3).trim();
+        var valArr = val.split(" ");
+        return valArr.map(function(v2) {
+          return _this4.isNumber(v2) ? "".concat(v2, "px") : v2;
+        }).join(" ");
+      }
+      return value3;
+    }, "toUnit"),
+    toNormalizePrefix: /* @__PURE__ */ __name(function toNormalizePrefix2(prefix2) {
+      return prefix2.replaceAll(/ /g, "").replace(/[^\w]/g, "-");
+    }, "toNormalizePrefix"),
+    toNormalizeVariable: /* @__PURE__ */ __name(function toNormalizeVariable2() {
+      var prefix2 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+      var variable = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+      return this.toNormalizePrefix("".concat(this.isString(prefix2, false) && this.isString(variable, false) ? "".concat(prefix2, "-") : prefix2).concat(variable));
+    }, "toNormalizeVariable"),
+    getVariableName: /* @__PURE__ */ __name(function getVariableName2() {
+      var prefix2 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+      var variable = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+      return "--".concat(this.toNormalizeVariable(prefix2, variable));
+    }, "getVariableName"),
+    getVariableValue: /* @__PURE__ */ __name(function getVariableValue2(value3) {
+      var _this5 = this;
+      var variable = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+      var prefix2 = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : "";
+      var excludedKeyRegexes = arguments.length > 3 && arguments[3] !== void 0 ? arguments[3] : [];
+      var fallback = arguments.length > 4 ? arguments[4] : void 0;
+      if (this.isString(value3)) {
+        var regex = /{([^}]*)}/g;
+        var val = value3.trim();
+        if (this.test(regex, val)) {
+          var _val = val.replaceAll(regex, function(v2) {
+            var path = v2.replace(/{|}/g, "");
+            var keys2 = path.split(".").filter(function(_v) {
+              return !excludedKeyRegexes.some(function(_r) {
+                return _this5.test(_r, _v);
+              });
+            });
+            return "var(".concat(_this5.getVariableName(prefix2, _this5.toKebabCase(keys2.join("-")))).concat(_this5.isNotEmpty(fallback) ? ", ".concat(fallback) : "", ")");
+          });
+          var calculationRegex = /(\d+\s+[\+\-\*\/]\s+\d+)/g;
+          var cleanedVarRegex = /var\([^)]+\)/g;
+          return this.test(calculationRegex, _val.replace(cleanedVarRegex, "0")) ? "calc(".concat(_val, ")") : _val;
+        }
+        return this.toUnit(val, variable);
+      } else if (this.isNumber(value3)) {
+        return this.toUnit(value3, variable);
+      }
+      return void 0;
+    }, "getVariableValue"),
+    getComputedValue: /* @__PURE__ */ __name(function getComputedValue2() {
+      var _this6 = this;
+      var obj = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+      var value3 = arguments.length > 1 ? arguments[1] : void 0;
+      if (this.isString(value3)) {
+        var regex = /{([^}]*)}/g;
+        var val = value3.trim();
+        return this.test(regex, val) ? val.replaceAll(regex, function(v2) {
+          return _this6.getOptionValue(obj, v2.replace(/{|}/g, ""));
+        }) : val;
+      } else if (this.isNumber(value3)) {
+        return value3;
+      }
+      return void 0;
+    }, "getComputedValue"),
+    setProperty: /* @__PURE__ */ __name(function setProperty2(properties, key, value3) {
+      if (this.isString(key, false)) {
+        properties.push("".concat(key, ":").concat(value3, ";"));
+      }
+    }, "setProperty"),
+    getRule: /* @__PURE__ */ __name(function getRule2(selector, properties) {
+      if (selector) {
+        return "".concat(selector, "{").concat(properties, "}");
+      }
+      return "";
+    }, "getRule"),
+    minifyCSS: /* @__PURE__ */ __name(function minifyCSS2(css4) {
+      return css4 ? css4.replace(/\/\*(?:(?!\*\/)[\s\S])*\*\/|[\r\n\t]+/g, "").replace(/ {2,}/g, " ").replace(/ ([{:}]) /g, "$1").replace(/([;,]) /g, "$1").replace(/ !/g, "!").replace(/: /g, ":") : css4;
+    }, "minifyCSS")
+  },
+  dom: {
+    isClient: /* @__PURE__ */ __name(function isClient2() {
+      return !!(typeof window !== "undefined" && window.document && window.document.createElement);
+    }, "isClient"),
+    addClass: /* @__PURE__ */ __name(function addClass2(element, className) {
+      if (element && className && !this.hasClass(element, className)) {
+        if (element.classList) element.classList.add(className);
+        else element.className += " " + className;
+      }
+    }, "addClass"),
+    removeClass: /* @__PURE__ */ __name(function removeClass2(element, className) {
+      if (element && className) {
+        if (element.classList) element.classList.remove(className);
+        else element.className = element.className.replace(new RegExp("(^|\\b)" + className.split(" ").join("|") + "(\\b|$)", "gi"), " ");
+      }
+    }, "removeClass"),
+    hasClass: /* @__PURE__ */ __name(function hasClass2(element, className) {
+      if (element) {
+        if (element.classList) return element.classList.contains(className);
+        else return new RegExp("(^| )" + className + "( |$)", "gi").test(element.className);
+      }
+      return false;
+    }, "hasClass"),
+    removeMultipleClasses: /* @__PURE__ */ __name(function removeMultipleClasses(element, classNames) {
+      var _this7 = this;
+      if (element && classNames) {
+        [classNames].flat().filter(Boolean).forEach(function(cNames) {
+          return cNames.split(" ").forEach(function(className) {
+            return _this7.removeClass(element, className);
+          });
+        });
+      }
+    }, "removeMultipleClasses")
+  }
+};
+function normalizeColor(color) {
+  if (color.length === 4) {
+    color = "#".concat(color[1]).concat(color[1]).concat(color[2]).concat(color[2]).concat(color[3]).concat(color[3]);
+  }
+  return color;
+}
+__name(normalizeColor, "normalizeColor");
+function hexToRgb$1(hex) {
+  var bigint = parseInt(hex.substring(1), 16);
+  var r = bigint >> 16 & 255;
+  var g = bigint >> 8 & 255;
+  var b = bigint & 255;
+  return {
+    r,
+    g,
+    b
+  };
+}
+__name(hexToRgb$1, "hexToRgb$1");
+function rgbToHex$1(r, g, b) {
+  return "#".concat(r.toString(16).padStart(2, "0")).concat(g.toString(16).padStart(2, "0")).concat(b.toString(16).padStart(2, "0"));
+}
+__name(rgbToHex$1, "rgbToHex$1");
+var mix = /* @__PURE__ */ __name(function(color1, color2, weight) {
+  color1 = normalizeColor(color1);
+  color2 = normalizeColor(color2);
+  var p2 = weight / 100;
+  var w2 = p2 * 2 - 1;
+  var w1 = (w2 + 1) / 2;
+  var w22 = 1 - w1;
+  var rgb1 = hexToRgb$1(color1);
+  var rgb2 = hexToRgb$1(color2);
+  var r = Math.round(rgb1.r * w1 + rgb2.r * w22);
+  var g = Math.round(rgb1.g * w1 + rgb2.g * w22);
+  var b = Math.round(rgb1.b * w1 + rgb2.b * w22);
+  return rgbToHex$1(r, g, b);
+}, "mix");
+var shade = /* @__PURE__ */ __name(function(color, percent) {
+  return mix("#000000", color, percent);
+}, "shade");
+var tint = /* @__PURE__ */ __name(function(color, percent) {
+  return mix("#ffffff", color, percent);
+}, "tint");
+var scales = [50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 950];
+var palette = /* @__PURE__ */ __name(function(color) {
+  if (/{([^}]*)}/g.test(color)) {
+    var token = color.replace(/{|}/g, "");
+    return scales.reduce(function(acc, scale) {
+      return acc[scale] = "{".concat(token, ".").concat(scale, "}"), acc;
+    }, {});
+  }
+  return typeof color === "string" ? scales.reduce(function(acc, scale, i2) {
+    return acc[scale] = i2 <= 5 ? tint(color, (5 - i2) * 19) : shade(color, (i2 - 5) * 15), acc;
+  }, {}) : color;
+}, "palette");
+function createService() {
+  var allHandlers = /* @__PURE__ */ new Map();
+  return {
+    on: /* @__PURE__ */ __name(function on(type, handler6) {
+      var handlers2 = allHandlers.get(type);
+      if (!handlers2) handlers2 = [handler6];
+      else handlers2.push(handler6);
+      allHandlers.set(type, handlers2);
+      return this;
+    }, "on"),
+    off: /* @__PURE__ */ __name(function off(type, handler6) {
+      var handlers2 = allHandlers.get(type);
+      if (handlers2) {
+        handlers2.splice(handlers2.indexOf(handler6) >>> 0, 1);
+      }
+      return this;
+    }, "off"),
+    emit: /* @__PURE__ */ __name(function emit2(type, evt) {
+      var handlers2 = allHandlers.get(type);
+      if (handlers2) {
+        handlers2.slice().map(function(handler6) {
+          handler6(evt);
+        });
+      }
+    }, "emit")
+  };
+}
+__name(createService, "createService");
+var ThemeService = createService();
+function _typeof$2$2(o) {
+  "@babel/helpers - typeof";
+  return _typeof$2$2 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$2$2(o);
+}
+__name(_typeof$2$2, "_typeof$2$2");
+function _toConsumableArray$1$2(r) {
+  return _arrayWithoutHoles$1$2(r) || _iterableToArray$1$2(r) || _unsupportedIterableToArray$2$1(r) || _nonIterableSpread$1$2();
+}
+__name(_toConsumableArray$1$2, "_toConsumableArray$1$2");
+function _nonIterableSpread$1$2() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$1$2, "_nonIterableSpread$1$2");
+function _unsupportedIterableToArray$2$1(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$2$1(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$2$1(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$2$1, "_unsupportedIterableToArray$2$1");
+function _iterableToArray$1$2(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$1$2, "_iterableToArray$1$2");
+function _arrayWithoutHoles$1$2(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$2$1(r);
+}
+__name(_arrayWithoutHoles$1$2, "_arrayWithoutHoles$1$2");
+function _arrayLikeToArray$2$1(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$2$1, "_arrayLikeToArray$2$1");
+function ownKeys$1$3(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$1$3, "ownKeys$1$3");
+function _objectSpread$1$3(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$1$3(Object(t), true).forEach(function(r2) {
+      _defineProperty$2$2(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$1$3(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$1$3, "_objectSpread$1$3");
+function _defineProperty$2$2(e, r, t) {
+  return (r = _toPropertyKey$2$2(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$2$2, "_defineProperty$2$2");
+function _toPropertyKey$2$2(t) {
+  var i2 = _toPrimitive$2$2(t, "string");
+  return "symbol" == _typeof$2$2(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$2$2, "_toPropertyKey$2$2");
+function _toPrimitive$2$2(t, r) {
+  if ("object" != _typeof$2$2(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$2$2(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$2$2, "_toPrimitive$2$2");
+var Theme = {
+  defaults: {
+    variable: {
+      prefix: "p",
+      selector: ":root",
+      excludedKeyRegex: /^(primitive|semantic|components|directives|variables|colorscheme|light|dark|common|root|states)$/gi
+    },
+    options: {
+      prefix: "p",
+      darkModeSelector: "system",
+      cssLayer: false
+    }
+  },
+  _theme: void 0,
+  _layerNames: /* @__PURE__ */ new Set(),
+  _loadedStyleNames: /* @__PURE__ */ new Set(),
+  _loadingStyles: /* @__PURE__ */ new Set(),
+  _tokens: {},
+  update: /* @__PURE__ */ __name(function update() {
+    var newValues = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    var theme38 = newValues.theme;
+    if (theme38) {
+      this._theme = _objectSpread$1$3(_objectSpread$1$3({}, theme38), {}, {
+        options: _objectSpread$1$3(_objectSpread$1$3({}, this.defaults.options), theme38.options)
+      });
+      this._tokens = ThemeUtils.createTokens(this.preset, this.defaults);
+      this.clearLoadedStyleNames();
+    }
+  }, "update"),
+  get theme() {
+    return this._theme;
+  },
+  get preset() {
+    var _this$theme;
+    return ((_this$theme = this.theme) === null || _this$theme === void 0 ? void 0 : _this$theme.preset) || {};
+  },
+  get options() {
+    var _this$theme2;
+    return ((_this$theme2 = this.theme) === null || _this$theme2 === void 0 ? void 0 : _this$theme2.options) || {};
+  },
+  get tokens() {
+    return this._tokens;
+  },
+  getTheme: /* @__PURE__ */ __name(function getTheme() {
+    return this.theme;
+  }, "getTheme"),
+  setTheme: /* @__PURE__ */ __name(function setTheme(newValue) {
+    this.update({
+      theme: newValue
+    });
+    ThemeService.emit("theme:change", newValue);
+  }, "setTheme"),
+  getPreset: /* @__PURE__ */ __name(function getPreset() {
+    return this.preset;
+  }, "getPreset"),
+  setPreset: /* @__PURE__ */ __name(function setPreset(newValue) {
+    this._theme = _objectSpread$1$3(_objectSpread$1$3({}, this.theme), {}, {
+      preset: newValue
+    });
+    this._tokens = ThemeUtils.createTokens(newValue, this.defaults);
+    this.clearLoadedStyleNames();
+    ThemeService.emit("preset:change", newValue);
+    ThemeService.emit("theme:change", this.theme);
+  }, "setPreset"),
+  getOptions: /* @__PURE__ */ __name(function getOptions() {
+    return this.options;
+  }, "getOptions"),
+  setOptions: /* @__PURE__ */ __name(function setOptions(newValue) {
+    this._theme = _objectSpread$1$3(_objectSpread$1$3({}, this.theme), {}, {
+      options: newValue
+    });
+    this.clearLoadedStyleNames();
+    ThemeService.emit("options:change", newValue);
+    ThemeService.emit("theme:change", this.theme);
+  }, "setOptions"),
+  getLayerNames: /* @__PURE__ */ __name(function getLayerNames() {
+    return _toConsumableArray$1$2(this._layerNames);
+  }, "getLayerNames"),
+  setLayerNames: /* @__PURE__ */ __name(function setLayerNames(layerName) {
+    this._layerNames.add(layerName);
+  }, "setLayerNames"),
+  getLoadedStyleNames: /* @__PURE__ */ __name(function getLoadedStyleNames() {
+    return this._loadedStyleNames;
+  }, "getLoadedStyleNames"),
+  isStyleNameLoaded: /* @__PURE__ */ __name(function isStyleNameLoaded(name) {
+    return this._loadedStyleNames.has(name);
+  }, "isStyleNameLoaded"),
+  setLoadedStyleName: /* @__PURE__ */ __name(function setLoadedStyleName(name) {
+    this._loadedStyleNames.add(name);
+  }, "setLoadedStyleName"),
+  deleteLoadedStyleName: /* @__PURE__ */ __name(function deleteLoadedStyleName(name) {
+    this._loadedStyleNames["delete"](name);
+  }, "deleteLoadedStyleName"),
+  clearLoadedStyleNames: /* @__PURE__ */ __name(function clearLoadedStyleNames() {
+    this._loadedStyleNames.clear();
+  }, "clearLoadedStyleNames"),
+  getTokenValue: /* @__PURE__ */ __name(function getTokenValue(tokenPath) {
+    return ThemeUtils.getTokenValue(this.tokens, tokenPath, this.defaults);
+  }, "getTokenValue"),
+  getCommon: /* @__PURE__ */ __name(function getCommon() {
+    var name = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+    var params = arguments.length > 1 ? arguments[1] : void 0;
+    return ThemeUtils.getCommon({
+      name,
+      theme: this.theme,
+      params,
+      defaults: this.defaults,
+      set: {
+        layerNames: this.setLayerNames.bind(this)
+      }
+    });
+  }, "getCommon"),
+  getComponent: /* @__PURE__ */ __name(function getComponent() {
+    var name = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+    var params = arguments.length > 1 ? arguments[1] : void 0;
+    var options3 = {
+      name,
+      theme: this.theme,
+      params,
+      defaults: this.defaults,
+      set: {
+        layerNames: this.setLayerNames.bind(this)
+      }
+    };
+    return ThemeUtils.getPresetC(options3);
+  }, "getComponent"),
+  getDirective: /* @__PURE__ */ __name(function getDirective() {
+    var name = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+    var params = arguments.length > 1 ? arguments[1] : void 0;
+    var options3 = {
+      name,
+      theme: this.theme,
+      params,
+      defaults: this.defaults,
+      set: {
+        layerNames: this.setLayerNames.bind(this)
+      }
+    };
+    return ThemeUtils.getPresetD(options3);
+  }, "getDirective"),
+  getCustomPreset: /* @__PURE__ */ __name(function getCustomPreset() {
+    var name = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+    var preset = arguments.length > 1 ? arguments[1] : void 0;
+    var selector = arguments.length > 2 ? arguments[2] : void 0;
+    var params = arguments.length > 3 ? arguments[3] : void 0;
+    var options3 = {
+      name,
+      preset,
+      options: this.options,
+      selector,
+      params,
+      defaults: this.defaults,
+      set: {
+        layerNames: this.setLayerNames.bind(this)
+      }
+    };
+    return ThemeUtils.getPreset(options3);
+  }, "getCustomPreset"),
+  getLayerOrderCSS: /* @__PURE__ */ __name(function getLayerOrderCSS() {
+    var name = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+    return ThemeUtils.getLayerOrder(name, this.options, {
+      names: this.getLayerNames()
+    }, this.defaults);
+  }, "getLayerOrderCSS"),
+  transformCSS: /* @__PURE__ */ __name(function transformCSS() {
+    var name = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+    var css4 = arguments.length > 1 ? arguments[1] : void 0;
+    var type = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : "style";
+    var mode2 = arguments.length > 3 ? arguments[3] : void 0;
+    return ThemeUtils.transformCSS(name, css4, mode2, type, this.options, {
+      layerNames: this.setLayerNames.bind(this)
+    }, this.defaults);
+  }, "transformCSS"),
+  getCommonStyleSheet: /* @__PURE__ */ __name(function getCommonStyleSheet() {
+    var name = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+    var params = arguments.length > 1 ? arguments[1] : void 0;
+    var props = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {};
+    return ThemeUtils.getCommonStyleSheet({
+      name,
+      theme: this.theme,
+      params,
+      props,
+      defaults: this.defaults,
+      set: {
+        layerNames: this.setLayerNames.bind(this)
+      }
+    });
+  }, "getCommonStyleSheet"),
+  getStyleSheet: /* @__PURE__ */ __name(function getStyleSheet2(name, params) {
+    var props = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {};
+    return ThemeUtils.getStyleSheet({
+      name,
+      theme: this.theme,
+      params,
+      props,
+      defaults: this.defaults,
+      set: {
+        layerNames: this.setLayerNames.bind(this)
+      }
+    });
+  }, "getStyleSheet"),
+  onStyleMounted: /* @__PURE__ */ __name(function onStyleMounted(name) {
+    this._loadingStyles.add(name);
+  }, "onStyleMounted"),
+  onStyleUpdated: /* @__PURE__ */ __name(function onStyleUpdated(name) {
+    this._loadingStyles.add(name);
+  }, "onStyleUpdated"),
+  onStyleLoaded: /* @__PURE__ */ __name(function onStyleLoaded(event2, _ref) {
+    var name = _ref.name;
+    if (this._loadingStyles.size) {
+      this._loadingStyles["delete"](name);
+      ThemeService.emit("theme:".concat(name, ":load"), event2);
+      !this._loadingStyles.size && ThemeService.emit("theme:load");
+    }
+  }, "onStyleLoaded")
+};
+var $dt = /* @__PURE__ */ __name(function $dt2(tokenPath) {
+  var _variable$match;
+  var theme38 = Theme.getTheme();
+  var variable = dtwt(theme38, tokenPath, void 0, "variable");
+  var name = (_variable$match = variable.match(/--[\w-]+/g)) === null || _variable$match === void 0 ? void 0 : _variable$match[0];
+  var value3 = dtwt(theme38, tokenPath, void 0, "value");
+  return {
+    name,
+    variable,
+    value: value3
+  };
+}, "$dt");
+var dt = /* @__PURE__ */ __name(function dt2() {
+  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {
+    args[_key] = arguments[_key];
+  }
+  return dtwt.apply(void 0, [Theme.getTheme()].concat(args));
+}, "dt");
+var dtwt = /* @__PURE__ */ __name(function dtwt2() {
+  var theme38 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+  var tokenPath = arguments.length > 1 ? arguments[1] : void 0;
+  var fallback = arguments.length > 2 ? arguments[2] : void 0;
+  var type = arguments.length > 3 && arguments[3] !== void 0 ? arguments[3] : "variable";
+  if (tokenPath) {
+    var _ref = Theme.defaults || {}, VARIABLE = _ref.variable, OPTIONS = _ref.options;
+    var _ref2 = (theme38 === null || theme38 === void 0 ? void 0 : theme38.options) || OPTIONS || {}, prefix2 = _ref2.prefix, transform2 = _ref2.transform;
+    var regex = /{([^}]*)}/g;
+    var token = SharedUtils.object.test(regex, tokenPath) ? tokenPath : "{".concat(tokenPath, "}");
+    var isStrictTransform = type === "value" || transform2 === "strict";
+    return isStrictTransform ? Theme.getTokenValue(tokenPath) : SharedUtils.object.getVariableValue(token, void 0, prefix2, [VARIABLE.excludedKeyRegex], fallback);
+  }
+  return "";
+}, "dtwt");
+var css$1 = /* @__PURE__ */ __name(function css3(style) {
+  return SharedUtils.object.getItemValue(style, {
+    dt
+  });
+}, "css");
+function _typeof$1$5(o) {
+  "@babel/helpers - typeof";
+  return _typeof$1$5 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$1$5(o);
+}
+__name(_typeof$1$5, "_typeof$1$5");
+function ownKeys$g(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$g, "ownKeys$g");
+function _objectSpread$g(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$g(Object(t), true).forEach(function(r2) {
+      _defineProperty$1$3(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$g(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$g, "_objectSpread$g");
+function _defineProperty$1$3(e, r, t) {
+  return (r = _toPropertyKey$1$4(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$1$3, "_defineProperty$1$3");
+function _toPropertyKey$1$4(t) {
+  var i2 = _toPrimitive$1$4(t, "string");
+  return "symbol" == _typeof$1$5(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$1$4, "_toPropertyKey$1$4");
+function _toPrimitive$1$4(t, r) {
+  if ("object" != _typeof$1$5(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$1$5(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$1$4, "_toPrimitive$1$4");
+var $t = /* @__PURE__ */ __name(function $t2() {
+  var theme38 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+  var _preset = theme38.preset, _options = theme38.options;
+  return {
+    preset: /* @__PURE__ */ __name(function preset(value3) {
+      _preset = _preset ? SharedUtils.object.mergeKeys(_preset, value3) : value3;
+      return this;
+    }, "preset"),
+    options: /* @__PURE__ */ __name(function options3(value3) {
+      _options = _options ? _objectSpread$g(_objectSpread$g({}, _options), value3) : value3;
+      return this;
+    }, "options"),
+    // features
+    primaryPalette: /* @__PURE__ */ __name(function primaryPalette(primary) {
+      var _ref = _preset || {}, semantic = _ref.semantic;
+      _preset = _objectSpread$g(_objectSpread$g({}, _preset), {}, {
+        semantic: _objectSpread$g(_objectSpread$g({}, semantic), {}, {
+          primary
+        })
+      });
+      return this;
+    }, "primaryPalette"),
+    surfacePalette: /* @__PURE__ */ __name(function surfacePalette(surface) {
+      var _semantic$colorScheme, _semantic$colorScheme2;
+      var _ref2 = _preset || {}, semantic = _ref2.semantic;
+      var lightSurface = surface !== null && surface !== void 0 && surface.hasOwnProperty("light") ? surface === null || surface === void 0 ? void 0 : surface.light : surface;
+      var darkSurface = surface !== null && surface !== void 0 && surface.hasOwnProperty("dark") ? surface === null || surface === void 0 ? void 0 : surface.dark : surface;
+      var newColorScheme = {
+        colorScheme: {
+          light: _objectSpread$g(_objectSpread$g({}, semantic === null || semantic === void 0 || (_semantic$colorScheme = semantic.colorScheme) === null || _semantic$colorScheme === void 0 ? void 0 : _semantic$colorScheme.light), !!lightSurface && {
+            surface: lightSurface
+          }),
+          dark: _objectSpread$g(_objectSpread$g({}, semantic === null || semantic === void 0 || (_semantic$colorScheme2 = semantic.colorScheme) === null || _semantic$colorScheme2 === void 0 ? void 0 : _semantic$colorScheme2.dark), !!darkSurface && {
+            surface: darkSurface
+          })
+        }
+      };
+      _preset = _objectSpread$g(_objectSpread$g({}, _preset), {}, {
+        semantic: _objectSpread$g(_objectSpread$g({}, semantic), newColorScheme)
+      });
+      return this;
+    }, "surfacePalette"),
+    // actions
+    define: /* @__PURE__ */ __name(function define() {
+      var _ref3 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {}, _ref3$useDefaultPrese = _ref3.useDefaultPreset, useDefaultPreset = _ref3$useDefaultPrese === void 0 ? false : _ref3$useDefaultPrese, _ref3$useDefaultOptio = _ref3.useDefaultOptions, useDefaultOptions = _ref3$useDefaultOptio === void 0 ? false : _ref3$useDefaultOptio;
+      return {
+        preset: useDefaultPreset ? Theme.getPreset() : _preset,
+        options: useDefaultOptions ? Theme.getOptions() : _options
+      };
+    }, "define"),
+    update: /* @__PURE__ */ __name(function update2() {
+      var _ref4 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {}, _ref4$mergePresets = _ref4.mergePresets, mergePresets = _ref4$mergePresets === void 0 ? true : _ref4$mergePresets, _ref4$mergeOptions = _ref4.mergeOptions, mergeOptions2 = _ref4$mergeOptions === void 0 ? true : _ref4$mergeOptions;
+      var newTheme = {
+        preset: mergePresets ? SharedUtils.object.mergeKeys(Theme.getPreset(), _preset) : _preset,
+        options: mergeOptions2 ? _objectSpread$g(_objectSpread$g({}, Theme.getOptions()), _options) : _options
+      };
+      Theme.setTheme(newTheme);
+      return newTheme;
+    }, "update"),
+    use: /* @__PURE__ */ __name(function use(options3) {
+      var newTheme = this.define(options3);
+      Theme.setTheme(newTheme);
+      return newTheme;
+    }, "use")
+  };
+}, "$t");
+function _slicedToArray$1$1(r, e) {
+  return _arrayWithHoles$1$1(r) || _iterableToArrayLimit$1$1(r, e) || _unsupportedIterableToArray$1$2(r, e) || _nonIterableRest$1$1();
+}
+__name(_slicedToArray$1$1, "_slicedToArray$1$1");
+function _nonIterableRest$1$1() {
+  throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableRest$1$1, "_nonIterableRest$1$1");
+function _unsupportedIterableToArray$1$2(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$1$2(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$1$2(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$1$2, "_unsupportedIterableToArray$1$2");
+function _arrayLikeToArray$1$2(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$1$2, "_arrayLikeToArray$1$2");
+function _iterableToArrayLimit$1$1(r, l) {
+  var t = null == r ? null : "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (null != t) {
+    var e, n, i2, u, a = [], f = true, o = false;
+    try {
+      if (i2 = (t = t.call(r)).next, 0 === l) ;
+      else for (; !(f = (e = i2.call(t)).done) && (a.push(e.value), a.length !== l); f = true) ;
+    } catch (r2) {
+      o = true, n = r2;
+    } finally {
+      try {
+        if (!f && null != t["return"] && (u = t["return"](), Object(u) !== u)) return;
+      } finally {
+        if (o) throw n;
+      }
+    }
+    return a;
+  }
+}
+__name(_iterableToArrayLimit$1$1, "_iterableToArrayLimit$1$1");
+function _arrayWithHoles$1$1(r) {
+  if (Array.isArray(r)) return r;
+}
+__name(_arrayWithHoles$1$1, "_arrayWithHoles$1$1");
+function toVariables(theme38) {
+  var options3 = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+  var VARIABLE = Theme.defaults.variable;
+  var _options$prefix = options3.prefix, prefix2 = _options$prefix === void 0 ? VARIABLE.prefix : _options$prefix, _options$selector = options3.selector, selector = _options$selector === void 0 ? VARIABLE.selector : _options$selector, _options$excludedKeyR = options3.excludedKeyRegex, excludedKeyRegex = _options$excludedKeyR === void 0 ? VARIABLE.excludedKeyRegex : _options$excludedKeyR;
+  var _toVariables2 = /* @__PURE__ */ __name(function _toVariables4(_theme) {
+    var _prefix = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+    return Object.entries(_theme).reduce(function(acc, _ref) {
+      var _ref2 = _slicedToArray$1$1(_ref, 2), key = _ref2[0], value3 = _ref2[1];
+      var px = SharedUtils.object.test(excludedKeyRegex, key) ? SharedUtils.object.toNormalizeVariable(_prefix) : SharedUtils.object.toNormalizeVariable(_prefix, SharedUtils.object.toKebabCase(key));
+      var v2 = SharedUtils.object.toValue(value3);
+      if (SharedUtils.object.isObject(v2)) {
+        var _toVariables22 = _toVariables4(v2, px), _variables = _toVariables22.variables, _tokens = _toVariables22.tokens;
+        SharedUtils.object.merge(acc["tokens"], _tokens);
+        SharedUtils.object.merge(acc["variables"], _variables);
+      } else {
+        acc["tokens"].push((prefix2 ? px.replace("".concat(prefix2, "-"), "") : px).replaceAll("-", "."));
+        SharedUtils.object.setProperty(acc["variables"], SharedUtils.object.getVariableName(px), SharedUtils.object.getVariableValue(v2, px, prefix2, [excludedKeyRegex]));
+      }
+      return acc;
+    }, {
+      variables: [],
+      tokens: []
+    });
+  }, "_toVariables");
+  var _toVariables3 = _toVariables2(theme38, prefix2), variables = _toVariables3.variables, tokens = _toVariables3.tokens;
+  return {
+    value: variables,
+    tokens,
+    declarations: variables.join(""),
+    css: SharedUtils.object.getRule(selector, variables.join(""))
+  };
+}
+__name(toVariables, "toVariables");
+function _typeof$j(o) {
+  "@babel/helpers - typeof";
+  return _typeof$j = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$j(o);
+}
+__name(_typeof$j, "_typeof$j");
+var _excluded = ["colorScheme"], _excluded2 = ["dark"], _excluded3 = ["colorScheme"], _excluded4 = ["dark"], _excluded5 = ["colorScheme"];
+function _slicedToArray$4(r, e) {
+  return _arrayWithHoles$4(r) || _iterableToArrayLimit$4(r, e) || _unsupportedIterableToArray$k(r, e) || _nonIterableRest$4();
+}
+__name(_slicedToArray$4, "_slicedToArray$4");
+function _nonIterableRest$4() {
+  throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableRest$4, "_nonIterableRest$4");
+function _iterableToArrayLimit$4(r, l) {
+  var t = null == r ? null : "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (null != t) {
+    var e, n, i2, u, a = [], f = true, o = false;
+    try {
+      if (i2 = (t = t.call(r)).next, 0 === l) ;
+      else for (; !(f = (e = i2.call(t)).done) && (a.push(e.value), a.length !== l); f = true) ;
+    } catch (r2) {
+      o = true, n = r2;
+    } finally {
+      try {
+        if (!f && null != t["return"] && (u = t["return"](), Object(u) !== u)) return;
+      } finally {
+        if (o) throw n;
+      }
+    }
+    return a;
+  }
+}
+__name(_iterableToArrayLimit$4, "_iterableToArrayLimit$4");
+function _arrayWithHoles$4(r) {
+  if (Array.isArray(r)) return r;
+}
+__name(_arrayWithHoles$4, "_arrayWithHoles$4");
+function _defineProperty$j(e, r, t) {
+  return (r = _toPropertyKey$i(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$j, "_defineProperty$j");
+function _toPropertyKey$i(t) {
+  var i2 = _toPrimitive$i(t, "string");
+  return "symbol" == _typeof$j(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$i, "_toPropertyKey$i");
+function _toPrimitive$i(t, r) {
+  if ("object" != _typeof$j(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$j(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$i, "_toPrimitive$i");
+function _toConsumableArray$f(r) {
+  return _arrayWithoutHoles$f(r) || _iterableToArray$g(r) || _unsupportedIterableToArray$k(r) || _nonIterableSpread$f();
+}
+__name(_toConsumableArray$f, "_toConsumableArray$f");
+function _nonIterableSpread$f() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$f, "_nonIterableSpread$f");
+function _unsupportedIterableToArray$k(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$k(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$k(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$k, "_unsupportedIterableToArray$k");
+function _iterableToArray$g(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$g, "_iterableToArray$g");
+function _arrayWithoutHoles$f(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$k(r);
+}
+__name(_arrayWithoutHoles$f, "_arrayWithoutHoles$f");
+function _arrayLikeToArray$k(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$k, "_arrayLikeToArray$k");
+function _objectWithoutProperties(e, t) {
+  if (null == e) return {};
+  var o, r, i2 = _objectWithoutPropertiesLoose(e, t);
+  if (Object.getOwnPropertySymbols) {
+    var n = Object.getOwnPropertySymbols(e);
+    for (r = 0; r < n.length; r++) o = n[r], t.indexOf(o) >= 0 || {}.propertyIsEnumerable.call(e, o) && (i2[o] = e[o]);
+  }
+  return i2;
+}
+__name(_objectWithoutProperties, "_objectWithoutProperties");
+function _objectWithoutPropertiesLoose(r, e) {
+  if (null == r) return {};
+  var t = {};
+  for (var n in r) if ({}.hasOwnProperty.call(r, n)) {
+    if (e.indexOf(n) >= 0) continue;
+    t[n] = r[n];
+  }
+  return t;
+}
+__name(_objectWithoutPropertiesLoose, "_objectWithoutPropertiesLoose");
+var ThemeUtils = {
+  regex: {
+    rules: {
+      "class": {
+        pattern: /^\.([a-zA-Z][\w-]*)$/,
+        resolve: /* @__PURE__ */ __name(function resolve2(value3) {
+          return {
+            type: "class",
+            selector: value3,
+            matched: this.pattern.test(value3.trim())
+          };
+        }, "resolve")
+      },
+      attr: {
+        pattern: /^\[(.*)\]$/,
+        resolve: /* @__PURE__ */ __name(function resolve3(value3) {
+          return {
+            type: "attr",
+            selector: ":root".concat(value3),
+            matched: this.pattern.test(value3.trim())
+          };
+        }, "resolve")
+      },
+      media: {
+        pattern: /^@media (.*)$/,
+        resolve: /* @__PURE__ */ __name(function resolve4(value3) {
+          return {
+            type: "media",
+            selector: "".concat(value3, "{:root{[CSS]}}"),
+            matched: this.pattern.test(value3.trim())
+          };
+        }, "resolve")
+      },
+      system: {
+        pattern: /^system$/,
+        resolve: /* @__PURE__ */ __name(function resolve5(value3) {
+          return {
+            type: "system",
+            selector: "@media (prefers-color-scheme: dark){:root{[CSS]}}",
+            matched: this.pattern.test(value3.trim())
+          };
+        }, "resolve")
+      },
+      custom: {
+        resolve: /* @__PURE__ */ __name(function resolve6(value3) {
+          return {
+            type: "custom",
+            selector: value3,
+            matched: true
+          };
+        }, "resolve")
+      }
+    },
+    resolve: /* @__PURE__ */ __name(function resolve7(value3) {
+      var _this = this;
+      var rules = Object.keys(this.rules).filter(function(k) {
+        return k !== "custom";
+      }).map(function(r) {
+        return _this.rules[r];
+      });
+      return [value3].flat().map(function(v2) {
+        var _rules$map$find;
+        return (_rules$map$find = rules.map(function(r) {
+          return r.resolve(v2);
+        }).find(function(rr) {
+          return rr.matched;
+        })) !== null && _rules$map$find !== void 0 ? _rules$map$find : _this.rules.custom.resolve(v2);
+      });
+    }, "resolve")
+  },
+  _toVariables: /* @__PURE__ */ __name(function _toVariables(theme38, options3) {
+    return toVariables(theme38, {
+      prefix: options3 === null || options3 === void 0 ? void 0 : options3.prefix
+    });
+  }, "_toVariables"),
+  getCommon: /* @__PURE__ */ __name(function getCommon2(_ref) {
+    var _ref$name = _ref.name, name = _ref$name === void 0 ? "" : _ref$name, _ref$theme = _ref.theme, theme38 = _ref$theme === void 0 ? {} : _ref$theme;
+    _ref.params;
+    var set2 = _ref.set, defaults2 = _ref.defaults;
+    var preset = theme38.preset, options3 = theme38.options;
+    var primitive_css, primitive_tokens, semantic_css, semantic_tokens;
+    if (SharedUtils.object.isNotEmpty(preset)) {
+      var _prim_var$declaration, _sRest_var$declaratio, _csRest_var$declarati, _dark_var$declaration;
+      var primitive = preset.primitive, semantic = preset.semantic;
+      var _ref2 = semantic || {}, colorScheme = _ref2.colorScheme, sRest = _objectWithoutProperties(_ref2, _excluded);
+      var _ref3 = colorScheme || {}, dark = _ref3.dark, csRest = _objectWithoutProperties(_ref3, _excluded2);
+      var prim_var = SharedUtils.object.isNotEmpty(primitive) ? this._toVariables({
+        primitive
+      }, options3) : {};
+      var sRest_var = SharedUtils.object.isNotEmpty(sRest) ? this._toVariables({
+        semantic: sRest
+      }, options3) : {};
+      var csRest_var = SharedUtils.object.isNotEmpty(csRest) ? this._toVariables({
+        light: csRest
+      }, options3) : {};
+      var dark_var = SharedUtils.object.isNotEmpty(dark) ? this._toVariables({
+        dark
+      }, options3) : {};
+      var _ref4 = [(_prim_var$declaration = prim_var.declarations) !== null && _prim_var$declaration !== void 0 ? _prim_var$declaration : "", prim_var.tokens], prim_css = _ref4[0], prim_tokens = _ref4[1];
+      var sRest_css = (_sRest_var$declaratio = sRest_var.declarations) !== null && _sRest_var$declaratio !== void 0 ? _sRest_var$declaratio : "", sRest_tokens = sRest_var.tokens || [];
+      var csRest_css = (_csRest_var$declarati = csRest_var.declarations) !== null && _csRest_var$declarati !== void 0 ? _csRest_var$declarati : "", csRest_tokens = csRest_var.tokens || [];
+      var dark_css = (_dark_var$declaration = dark_var.declarations) !== null && _dark_var$declaration !== void 0 ? _dark_var$declaration : "", dark_tokens = dark_var.tokens || [];
+      primitive_css = this.transformCSS(name, prim_css, "light", "variable", options3, set2, defaults2);
+      primitive_tokens = prim_tokens;
+      var semantic_light_css = this.transformCSS(name, "".concat(sRest_css).concat(csRest_css, "color-scheme:light"), "light", "variable", options3, set2, defaults2);
+      var semantic_dark_css = this.transformCSS(name, "".concat(dark_css, "color-scheme:dark"), "dark", "variable", options3, set2, defaults2);
+      semantic_css = "".concat(semantic_light_css).concat(semantic_dark_css);
+      semantic_tokens = _toConsumableArray$f(new Set([].concat(_toConsumableArray$f(sRest_tokens), _toConsumableArray$f(csRest_tokens), _toConsumableArray$f(dark_tokens))));
+    }
+    return {
+      primitive: {
+        css: primitive_css,
+        tokens: primitive_tokens
+      },
+      semantic: {
+        css: semantic_css,
+        tokens: semantic_tokens
+      }
+    };
+  }, "getCommon"),
+  getPreset: /* @__PURE__ */ __name(function getPreset2(_ref5) {
+    var _vRest_var$declaratio, _csRest_var$declarati2, _dark_var$declaration2;
+    var _ref5$name = _ref5.name, name = _ref5$name === void 0 ? "" : _ref5$name, _ref5$preset = _ref5.preset, preset = _ref5$preset === void 0 ? {} : _ref5$preset, options3 = _ref5.options;
+    _ref5.params;
+    var set2 = _ref5.set, defaults2 = _ref5.defaults, selector = _ref5.selector;
+    var _name = name.replace("-directive", "");
+    var colorScheme = preset.colorScheme, vRest = _objectWithoutProperties(preset, _excluded3);
+    var _ref6 = colorScheme || {}, dark = _ref6.dark, csRest = _objectWithoutProperties(_ref6, _excluded4);
+    var vRest_var = SharedUtils.object.isNotEmpty(vRest) ? this._toVariables(_defineProperty$j({}, _name, vRest), options3) : {};
+    var csRest_var = SharedUtils.object.isNotEmpty(csRest) ? this._toVariables(_defineProperty$j({}, _name, csRest), options3) : {};
+    var dark_var = SharedUtils.object.isNotEmpty(dark) ? this._toVariables(_defineProperty$j({}, _name, dark), options3) : {};
+    var vRest_css = (_vRest_var$declaratio = vRest_var.declarations) !== null && _vRest_var$declaratio !== void 0 ? _vRest_var$declaratio : "", vRest_tokens = vRest_var.tokens || [];
+    var csRest_css = (_csRest_var$declarati2 = csRest_var.declarations) !== null && _csRest_var$declarati2 !== void 0 ? _csRest_var$declarati2 : "", csRest_tokens = csRest_var.tokens || [];
+    var dark_css = (_dark_var$declaration2 = dark_var.declarations) !== null && _dark_var$declaration2 !== void 0 ? _dark_var$declaration2 : "", dark_tokens = dark_var.tokens || [];
+    var tokens = _toConsumableArray$f(new Set([].concat(_toConsumableArray$f(vRest_tokens), _toConsumableArray$f(csRest_tokens), _toConsumableArray$f(dark_tokens))));
+    var light_variable_css = this.transformCSS(_name, "".concat(vRest_css).concat(csRest_css), "light", "variable", options3, set2, defaults2, selector);
+    var dark_variable_css = this.transformCSS(_name, dark_css, "dark", "variable", options3, set2, defaults2, selector);
+    return {
+      css: "".concat(light_variable_css).concat(dark_variable_css),
+      tokens
+    };
+  }, "getPreset"),
+  getPresetC: /* @__PURE__ */ __name(function getPresetC(_ref7) {
+    var _preset$components;
+    var _ref7$name = _ref7.name, name = _ref7$name === void 0 ? "" : _ref7$name, _ref7$theme = _ref7.theme, theme38 = _ref7$theme === void 0 ? {} : _ref7$theme, params = _ref7.params, set2 = _ref7.set, defaults2 = _ref7.defaults;
+    var preset = theme38.preset, options3 = theme38.options;
+    var cPreset = preset === null || preset === void 0 || (_preset$components = preset.components) === null || _preset$components === void 0 ? void 0 : _preset$components[name];
+    return this.getPreset({
+      name,
+      preset: cPreset,
+      options: options3,
+      params,
+      set: set2,
+      defaults: defaults2
+    });
+  }, "getPresetC"),
+  getPresetD: /* @__PURE__ */ __name(function getPresetD(_ref8) {
+    var _preset$directives;
+    var _ref8$name = _ref8.name, name = _ref8$name === void 0 ? "" : _ref8$name, _ref8$theme = _ref8.theme, theme38 = _ref8$theme === void 0 ? {} : _ref8$theme, params = _ref8.params, set2 = _ref8.set, defaults2 = _ref8.defaults;
+    var dName = name.replace("-directive", "");
+    var preset = theme38.preset, options3 = theme38.options;
+    var dPreset = preset === null || preset === void 0 || (_preset$directives = preset.directives) === null || _preset$directives === void 0 ? void 0 : _preset$directives[dName];
+    return this.getPreset({
+      name: dName,
+      preset: dPreset,
+      options: options3,
+      params,
+      set: set2,
+      defaults: defaults2
+    });
+  }, "getPresetD"),
+  getColorSchemeOption: /* @__PURE__ */ __name(function getColorSchemeOption(options3, defaults2) {
+    var _options$darkModeSele;
+    return this.regex.resolve((_options$darkModeSele = options3.darkModeSelector) !== null && _options$darkModeSele !== void 0 ? _options$darkModeSele : defaults2.options.darkModeSelector);
+  }, "getColorSchemeOption"),
+  getLayerOrder: /* @__PURE__ */ __name(function getLayerOrder(name) {
+    var options3 = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+    var params = arguments.length > 2 ? arguments[2] : void 0;
+    var cssLayer = options3.cssLayer;
+    if (cssLayer) {
+      var order = SharedUtils.object.getItemValue(cssLayer.order || "primeui", params);
+      return "@layer ".concat(order);
+    }
+    return "";
+  }, "getLayerOrder"),
+  getCommonStyleSheet: /* @__PURE__ */ __name(function getCommonStyleSheet2(_ref9) {
+    var _ref9$name = _ref9.name, name = _ref9$name === void 0 ? "" : _ref9$name, _ref9$theme = _ref9.theme, theme38 = _ref9$theme === void 0 ? {} : _ref9$theme, params = _ref9.params, _ref9$props = _ref9.props, props = _ref9$props === void 0 ? {} : _ref9$props, set2 = _ref9.set, defaults2 = _ref9.defaults;
+    var common = this.getCommon({
+      name,
+      theme: theme38,
+      params,
+      set: set2,
+      defaults: defaults2
+    });
+    var _props = Object.entries(props).reduce(function(acc, _ref10) {
+      var _ref11 = _slicedToArray$4(_ref10, 2), k = _ref11[0], v2 = _ref11[1];
+      return acc.push("".concat(k, '="').concat(v2, '"')) && acc;
+    }, []).join(" ");
+    return Object.entries(common || {}).reduce(function(acc, _ref12) {
+      var _ref13 = _slicedToArray$4(_ref12, 2), key = _ref13[0], value3 = _ref13[1];
+      if (value3 !== null && value3 !== void 0 && value3.css) {
+        var _css = SharedUtils.object.minifyCSS(value3 === null || value3 === void 0 ? void 0 : value3.css);
+        var id2 = "".concat(key, "-variables");
+        acc.push('<style type="text/css" data-primevue-style-id="'.concat(id2, '" ').concat(_props, ">").concat(_css, "</style>"));
+      }
+      return acc;
+    }, []).join("");
+  }, "getCommonStyleSheet"),
+  getStyleSheet: /* @__PURE__ */ __name(function getStyleSheet3(_ref14) {
+    var _ref15;
+    var _ref14$name = _ref14.name, name = _ref14$name === void 0 ? "" : _ref14$name, _ref14$theme = _ref14.theme, theme38 = _ref14$theme === void 0 ? {} : _ref14$theme, params = _ref14.params, _ref14$props = _ref14.props, props = _ref14$props === void 0 ? {} : _ref14$props, set2 = _ref14.set, defaults2 = _ref14.defaults;
+    var options3 = {
+      name,
+      theme: theme38,
+      params,
+      set: set2,
+      defaults: defaults2
+    };
+    var preset_css = (_ref15 = name.includes("-directive") ? this.getPresetD(options3) : this.getPresetC(options3)) === null || _ref15 === void 0 ? void 0 : _ref15.css;
+    var _props = Object.entries(props).reduce(function(acc, _ref16) {
+      var _ref17 = _slicedToArray$4(_ref16, 2), k = _ref17[0], v2 = _ref17[1];
+      return acc.push("".concat(k, '="').concat(v2, '"')) && acc;
+    }, []).join(" ");
+    return preset_css ? '<style type="text/css" data-primevue-style-id="'.concat(name, '-variables" ').concat(_props, ">").concat(SharedUtils.object.minifyCSS(preset_css), "</style>") : "";
+  }, "getStyleSheet"),
+  createTokens: /* @__PURE__ */ __name(function createTokens() {
+    var _this2 = this;
+    var obj = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    var defaults2 = arguments.length > 1 ? arguments[1] : void 0;
+    var parentKey = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : "";
+    var parentPath = arguments.length > 3 && arguments[3] !== void 0 ? arguments[3] : "";
+    var tokens = arguments.length > 4 && arguments[4] !== void 0 ? arguments[4] : {};
+    Object.entries(obj).forEach(function(_ref18) {
+      var _ref19 = _slicedToArray$4(_ref18, 2), key = _ref19[0], value3 = _ref19[1];
+      var currentKey = SharedUtils.object.test(defaults2.variable.excludedKeyRegex, key) ? parentKey : parentKey ? "".concat(parentKey, ".").concat(SharedUtils.object.toTokenKey(key)) : SharedUtils.object.toTokenKey(key);
+      var currentPath = parentPath ? "".concat(parentPath, ".").concat(key) : key;
+      if (SharedUtils.object.isObject(value3)) {
+        _this2.createTokens(value3, defaults2, currentKey, currentPath, tokens);
+      } else {
+        tokens[currentKey] || (tokens[currentKey] = {
+          paths: [],
+          computed: /* @__PURE__ */ __name(function computed2(colorScheme) {
+            var tokenPathMap = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+            if (colorScheme) {
+              var path = this.paths.find(function(p2) {
+                return p2.scheme === colorScheme;
+              }) || this.paths.find(function(p2) {
+                return p2.scheme === "none";
+              });
+              return path === null || path === void 0 ? void 0 : path.computed(colorScheme, tokenPathMap["binding"]);
+            }
+            return this.paths.map(function(p2) {
+              return p2.computed(p2.scheme, tokenPathMap[p2.scheme]);
+            });
+          }, "computed")
+        });
+        tokens[currentKey].paths.push({
+          path: currentPath,
+          value: value3,
+          scheme: currentPath.includes("colorScheme.light") ? "light" : currentPath.includes("colorScheme.dark") ? "dark" : "none",
+          computed: /* @__PURE__ */ __name(function computed2(colorScheme) {
+            var _binding;
+            var tokenPathMap = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+            var regex = /{([^}]*)}/g;
+            var computedValue = value3;
+            tokenPathMap["name"] = this.path;
+            tokenPathMap[_binding = "binding"] || (tokenPathMap[_binding] = {});
+            if (SharedUtils.object.test(regex, value3)) {
+              var val = value3.trim();
+              var _val = val.replaceAll(regex, function(v2) {
+                var _tokens$path;
+                var path = v2.replace(/{|}/g, "");
+                return (_tokens$path = tokens[path]) === null || _tokens$path === void 0 || (_tokens$path = _tokens$path.computed(colorScheme, tokenPathMap)) === null || _tokens$path === void 0 ? void 0 : _tokens$path.value;
+              });
+              var calculationRegex = /(\d+\w*\s+[\+\-\*\/]\s+\d+\w*)/g;
+              var cleanedVarRegex = /var\([^)]+\)/g;
+              computedValue = SharedUtils.object.test(calculationRegex, _val.replace(cleanedVarRegex, "0")) ? "calc(".concat(_val, ")") : _val;
+            }
+            SharedUtils.object.isEmpty(tokenPathMap["binding"]) && delete tokenPathMap["binding"];
+            return {
+              colorScheme,
+              path: this.path,
+              paths: tokenPathMap,
+              value: computedValue.includes("undefined") ? void 0 : computedValue
+            };
+          }, "computed")
+        });
+      }
+    });
+    return tokens;
+  }, "createTokens"),
+  getTokenValue: /* @__PURE__ */ __name(function getTokenValue2(tokens, path, defaults2) {
+    var _tokens$token;
+    var normalizePath = /* @__PURE__ */ __name(function normalizePath2(str) {
+      var strArr = str.split(".");
+      return strArr.filter(function(s) {
+        return !SharedUtils.object.test(defaults2.variable.excludedKeyRegex, s.toLowerCase());
+      }).join(".");
+    }, "normalizePath");
+    var token = normalizePath(path);
+    var colorScheme = path.includes("colorScheme.light") ? "light" : path.includes("colorScheme.dark") ? "dark" : void 0;
+    var computedValues = [(_tokens$token = tokens[token]) === null || _tokens$token === void 0 ? void 0 : _tokens$token.computed(colorScheme)].flat().filter(function(computed2) {
+      return computed2;
+    });
+    return computedValues.length === 1 ? computedValues[0].value : computedValues.reduce(function() {
+      var acc = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+      var computed2 = arguments.length > 1 ? arguments[1] : void 0;
+      var cs = computed2.colorScheme, rest = _objectWithoutProperties(computed2, _excluded5);
+      acc[cs] = rest;
+      return acc;
+    }, void 0);
+  }, "getTokenValue"),
+  transformCSS: /* @__PURE__ */ __name(function transformCSS2(name, css4, mode2, type) {
+    var options3 = arguments.length > 4 && arguments[4] !== void 0 ? arguments[4] : {};
+    var set2 = arguments.length > 5 ? arguments[5] : void 0;
+    var defaults2 = arguments.length > 6 ? arguments[6] : void 0;
+    var selector = arguments.length > 7 ? arguments[7] : void 0;
+    if (SharedUtils.object.isNotEmpty(css4)) {
+      var cssLayer = options3.cssLayer;
+      if (type !== "style") {
+        var colorSchemeOption = this.getColorSchemeOption(options3, defaults2);
+        var _css = selector ? SharedUtils.object.getRule(selector, css4) : css4;
+        css4 = mode2 === "dark" ? colorSchemeOption.reduce(function(acc, _ref20) {
+          var _selector = _ref20.selector;
+          if (SharedUtils.object.isNotEmpty(_selector)) {
+            acc += _selector.includes("[CSS]") ? _selector.replace("[CSS]", _css) : SharedUtils.object.getRule(_selector, _css);
+          }
+          return acc;
+        }, "") : SharedUtils.object.getRule(selector !== null && selector !== void 0 ? selector : ":root", css4);
+      }
+      if (cssLayer) {
+        var layerOptions = {
+          name: "primeui",
+          order: "primeui"
+        };
+        SharedUtils.object.isObject(cssLayer) && (layerOptions.name = SharedUtils.object.getItemValue(cssLayer.name, {
+          name,
+          type
+        }));
+        if (SharedUtils.object.isNotEmpty(layerOptions.name)) {
+          css4 = SharedUtils.object.getRule("@layer ".concat(layerOptions.name), css4);
+          set2 === null || set2 === void 0 || set2.layerNames(layerOptions.name);
+        }
+      }
+      return css4;
+    }
+    return "";
+  }, "transformCSS")
+};
+var definePreset = /* @__PURE__ */ __name(function() {
+  var _SharedUtils$object;
+  return (_SharedUtils$object = SharedUtils.object).mergeKeys.apply(_SharedUtils$object, arguments);
+}, "definePreset");
+var updatePreset = /* @__PURE__ */ __name(function() {
+  var _SharedUtils$object;
+  for (var _len = arguments.length, presets = new Array(_len), _key = 0; _key < _len; _key++) {
+    presets[_key] = arguments[_key];
+  }
+  var newPreset = (_SharedUtils$object = SharedUtils.object).mergeKeys.apply(_SharedUtils$object, [Theme.getPreset()].concat(presets));
+  Theme.setPreset(newPreset);
+  return newPreset;
+}, "updatePreset");
+var updatePrimaryPalette = /* @__PURE__ */ __name(function(primary) {
+  return $t().primaryPalette(primary).update().preset;
+}, "updatePrimaryPalette");
+var updateSurfacePalette = /* @__PURE__ */ __name(function(surface) {
+  return $t().surfacePalette(surface).update().preset;
+}, "updateSurfacePalette");
+var usePreset = /* @__PURE__ */ __name(function() {
+  var _SharedUtils$object;
+  var newPreset = (_SharedUtils$object = SharedUtils.object).mergeKeys.apply(_SharedUtils$object, arguments);
+  Theme.setPreset(newPreset);
+  return newPreset;
+}, "usePreset");
+var useTheme = /* @__PURE__ */ __name(function(theme38) {
+  return $t(theme38).update({
+    mergePresets: false
+  });
+}, "useTheme");
+var ConfirmationEventBus = EventBus();
+var PrimeVueConfirmSymbol = Symbol();
+function useConfirm() {
+  var PrimeVueConfirm = inject(PrimeVueConfirmSymbol);
+  if (!PrimeVueConfirm) {
+    throw new Error("No PrimeVue Confirmation provided!");
+  }
+  return PrimeVueConfirm;
+}
+__name(useConfirm, "useConfirm");
+var ConfirmationService = {
+  install: /* @__PURE__ */ __name(function install3(app2) {
+    var ConfirmationService2 = {
+      require: /* @__PURE__ */ __name(function require2(options3) {
+        ConfirmationEventBus.emit("confirm", options3);
+      }, "require"),
+      close: /* @__PURE__ */ __name(function close4() {
+        ConfirmationEventBus.emit("close");
+      }, "close")
+    };
+    app2.config.globalProperties.$confirm = ConfirmationService2;
+    app2.provide(PrimeVueConfirmSymbol, ConfirmationService2);
+  }, "install")
+};
+var ToastEventBus = EventBus();
+var PrimeVueToastSymbol = Symbol();
+function useToast() {
+  var PrimeVueToast = inject(PrimeVueToastSymbol);
+  if (!PrimeVueToast) {
+    throw new Error("No PrimeVue Toast provided!");
+  }
+  return PrimeVueToast;
+}
+__name(useToast, "useToast");
+var ToastService = {
+  install: /* @__PURE__ */ __name(function install4(app2) {
+    var ToastService2 = {
+      add: /* @__PURE__ */ __name(function add3(message3) {
+        ToastEventBus.emit("add", message3);
+      }, "add"),
+      remove: /* @__PURE__ */ __name(function remove5(message3) {
+        ToastEventBus.emit("remove", message3);
+      }, "remove"),
+      removeGroup: /* @__PURE__ */ __name(function removeGroup(group) {
+        ToastEventBus.emit("remove-group", group);
+      }, "removeGroup"),
+      removeAllGroups: /* @__PURE__ */ __name(function removeAllGroups() {
+        ToastEventBus.emit("remove-all-groups");
+      }, "removeAllGroups")
+    };
+    app2.config.globalProperties.$toast = ToastService2;
+    app2.provide(PrimeVueToastSymbol, ToastService2);
+  }, "install")
+};
+function handler() {
+  let zIndexes = [];
+  const generateZIndex = /* @__PURE__ */ __name((key, autoZIndex, baseZIndex = 999) => {
+    const lastZIndex = getLastZIndex(key, autoZIndex, baseZIndex);
+    const newZIndex = lastZIndex.value + (lastZIndex.key === key ? 0 : baseZIndex) + 1;
+    zIndexes.push({ key, value: newZIndex });
+    return newZIndex;
+  }, "generateZIndex");
+  const revertZIndex = /* @__PURE__ */ __name((zIndex) => {
+    zIndexes = zIndexes.filter((obj) => obj.value !== zIndex);
+  }, "revertZIndex");
+  const getCurrentZIndex = /* @__PURE__ */ __name((key, autoZIndex) => {
+    return getLastZIndex(key, autoZIndex).value;
+  }, "getCurrentZIndex");
+  const getLastZIndex = /* @__PURE__ */ __name((key, autoZIndex, baseZIndex = 0) => {
+    return [...zIndexes].reverse().find((obj) => autoZIndex ? true : obj.key === key) || { key, value: baseZIndex };
+  }, "getLastZIndex");
+  const getZIndex = /* @__PURE__ */ __name((element) => {
+    return element ? parseInt(element.style.zIndex, 10) || 0 : 0;
+  }, "getZIndex");
+  return {
+    get: getZIndex,
+    set: /* @__PURE__ */ __name((key, element, baseZIndex) => {
+      if (element) {
+        element.style.zIndex = String(generateZIndex(key, true, baseZIndex));
+      }
+    }, "set"),
+    clear: /* @__PURE__ */ __name((element) => {
+      if (element) {
+        revertZIndex(getZIndex(element));
+        element.style.zIndex = "";
+      }
+    }, "clear"),
+    getCurrent: /* @__PURE__ */ __name((key) => getCurrentZIndex(key, true), "getCurrent")
+  };
+}
+__name(handler, "handler");
+var ZIndex = handler();
+var lastIds = {};
+function uuid(prefix2 = "pui_id_") {
+  if (!lastIds.hasOwnProperty(prefix2)) {
+    lastIds[prefix2] = 0;
+  }
+  lastIds[prefix2]++;
+  return `${prefix2}${lastIds[prefix2]}`;
+}
+__name(uuid, "uuid");
+function _typeof$1$4(o) {
+  "@babel/helpers - typeof";
+  return _typeof$1$4 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$1$4(o);
+}
+__name(_typeof$1$4, "_typeof$1$4");
+function _classCallCheck$1(a, n) {
+  if (!(a instanceof n)) throw new TypeError("Cannot call a class as a function");
+}
+__name(_classCallCheck$1, "_classCallCheck$1");
+function _defineProperties$1(e, r) {
+  for (var t = 0; t < r.length; t++) {
+    var o = r[t];
+    o.enumerable = o.enumerable || false, o.configurable = true, "value" in o && (o.writable = true), Object.defineProperty(e, _toPropertyKey$1$3(o.key), o);
+  }
+}
+__name(_defineProperties$1, "_defineProperties$1");
+function _createClass$1(e, r, t) {
+  return r && _defineProperties$1(e.prototype, r), Object.defineProperty(e, "prototype", { writable: false }), e;
+}
+__name(_createClass$1, "_createClass$1");
+function _toPropertyKey$1$3(t) {
+  var i2 = _toPrimitive$1$3(t, "string");
+  return "symbol" == _typeof$1$4(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$1$3, "_toPropertyKey$1$3");
+function _toPrimitive$1$3(t, r) {
+  if ("object" != _typeof$1$4(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r);
+    if ("object" != _typeof$1$4(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return String(t);
+}
+__name(_toPrimitive$1$3, "_toPrimitive$1$3");
+var ConnectedOverlayScrollHandler = /* @__PURE__ */ function() {
+  function ConnectedOverlayScrollHandler2(element) {
+    var listener = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : function() {
+    };
+    _classCallCheck$1(this, ConnectedOverlayScrollHandler2);
+    this.element = element;
+    this.listener = listener;
+  }
+  __name(ConnectedOverlayScrollHandler2, "ConnectedOverlayScrollHandler");
+  return _createClass$1(ConnectedOverlayScrollHandler2, [{
+    key: "bindScrollListener",
+    value: /* @__PURE__ */ __name(function bindScrollListener7() {
+      this.scrollableParents = getScrollableParents(this.element);
+      for (var i2 = 0; i2 < this.scrollableParents.length; i2++) {
+        this.scrollableParents[i2].addEventListener("scroll", this.listener);
+      }
+    }, "bindScrollListener")
+  }, {
+    key: "unbindScrollListener",
+    value: /* @__PURE__ */ __name(function unbindScrollListener7() {
+      if (this.scrollableParents) {
+        for (var i2 = 0; i2 < this.scrollableParents.length; i2++) {
+          this.scrollableParents[i2].removeEventListener("scroll", this.listener);
+        }
+      }
+    }, "unbindScrollListener")
+  }, {
+    key: "destroy",
+    value: /* @__PURE__ */ __name(function destroy() {
+      this.unbindScrollListener();
+      this.element = null;
+      this.listener = null;
+      this.scrollableParents = null;
+    }, "destroy")
+  }]);
+}();
+function _typeof$i(o) {
+  "@babel/helpers - typeof";
+  return _typeof$i = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$i(o);
+}
+__name(_typeof$i, "_typeof$i");
+function _toConsumableArray$e(r) {
+  return _arrayWithoutHoles$e(r) || _iterableToArray$f(r) || _unsupportedIterableToArray$j(r) || _nonIterableSpread$e();
+}
+__name(_toConsumableArray$e, "_toConsumableArray$e");
+function _nonIterableSpread$e() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$e, "_nonIterableSpread$e");
+function _unsupportedIterableToArray$j(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$j(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$j(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$j, "_unsupportedIterableToArray$j");
+function _iterableToArray$f(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$f, "_iterableToArray$f");
+function _arrayWithoutHoles$e(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$j(r);
+}
+__name(_arrayWithoutHoles$e, "_arrayWithoutHoles$e");
+function _arrayLikeToArray$j(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$j, "_arrayLikeToArray$j");
+function _classCallCheck(a, n) {
+  if (!(a instanceof n)) throw new TypeError("Cannot call a class as a function");
+}
+__name(_classCallCheck, "_classCallCheck");
+function _defineProperties(e, r) {
+  for (var t = 0; t < r.length; t++) {
+    var o = r[t];
+    o.enumerable = o.enumerable || false, o.configurable = true, "value" in o && (o.writable = true), Object.defineProperty(e, _toPropertyKey$h(o.key), o);
+  }
+}
+__name(_defineProperties, "_defineProperties");
+function _createClass(e, r, t) {
+  return r && _defineProperties(e.prototype, r), Object.defineProperty(e, "prototype", { writable: false }), e;
+}
+__name(_createClass, "_createClass");
+function _defineProperty$i(e, r, t) {
+  return (r = _toPropertyKey$h(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$i, "_defineProperty$i");
+function _toPropertyKey$h(t) {
+  var i2 = _toPrimitive$h(t, "string");
+  return "symbol" == _typeof$i(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$h, "_toPropertyKey$h");
+function _toPrimitive$h(t, r) {
+  if ("object" != _typeof$i(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r);
+    if ("object" != _typeof$i(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return String(t);
+}
+__name(_toPrimitive$h, "_toPrimitive$h");
+var _default = /* @__PURE__ */ function() {
+  function _default4(_ref) {
+    var init2 = _ref.init, type = _ref.type;
+    _classCallCheck(this, _default4);
+    _defineProperty$i(this, "helpers", void 0);
+    _defineProperty$i(this, "type", void 0);
+    this.helpers = new Set(init2);
+    this.type = type;
+  }
+  __name(_default4, "_default");
+  return _createClass(_default4, [{
+    key: "add",
+    value: /* @__PURE__ */ __name(function add3(instance) {
+      this.helpers.add(instance);
+    }, "add")
+  }, {
+    key: "update",
+    value: /* @__PURE__ */ __name(function update2() {
+    }, "update")
+  }, {
+    key: "delete",
+    value: /* @__PURE__ */ __name(function _delete(instance) {
+      this.helpers["delete"](instance);
+    }, "_delete")
+  }, {
+    key: "clear",
+    value: /* @__PURE__ */ __name(function clear3() {
+      this.helpers.clear();
+    }, "clear")
+  }, {
+    key: "get",
+    value: /* @__PURE__ */ __name(function get2(parentInstance, slots) {
+      var children = this._get(parentInstance, slots);
+      var computed2 = children ? this._recursive(_toConsumableArray$e(this.helpers), children) : null;
+      return isNotEmpty(computed2) ? computed2 : null;
+    }, "get")
+  }, {
+    key: "_isMatched",
+    value: /* @__PURE__ */ __name(function _isMatched(instance, key) {
+      var _parent$vnode;
+      var parent = instance === null || instance === void 0 ? void 0 : instance.parent;
+      return (parent === null || parent === void 0 || (_parent$vnode = parent.vnode) === null || _parent$vnode === void 0 ? void 0 : _parent$vnode.key) === key || parent && this._isMatched(parent, key) || false;
+    }, "_isMatched")
+  }, {
+    key: "_get",
+    value: /* @__PURE__ */ __name(function _get(parentInstance, slots) {
+      var _ref2, _ref2$default;
+      return ((_ref2 = slots || (parentInstance === null || parentInstance === void 0 ? void 0 : parentInstance.$slots)) === null || _ref2 === void 0 || (_ref2$default = _ref2["default"]) === null || _ref2$default === void 0 ? void 0 : _ref2$default.call(_ref2)) || null;
+    }, "_get")
+  }, {
+    key: "_recursive",
+    value: /* @__PURE__ */ __name(function _recursive() {
+      var _this = this;
+      var helpers = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : [];
+      var children = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : [];
+      var components = [];
+      children.forEach(function(child) {
+        if (child.children instanceof Array) {
+          components = components.concat(_this._recursive(components, child.children));
+        } else if (child.type.name === _this.type) {
+          components.push(child);
+        } else if (isNotEmpty(child.key)) {
+          components = components.concat(helpers.filter(function(c) {
+            return _this._isMatched(c, child.key);
+          }).map(function(c) {
+            return c.vnode;
+          }));
+        }
+      });
+      return components;
+    }, "_recursive")
+  }]);
+}();
+function UniqueComponentId() {
+  var prefix2 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "pv_id_";
+  return uuid(prefix2);
+}
+__name(UniqueComponentId, "UniqueComponentId");
+function getVNodeProp(vnode, prop2) {
+  if (vnode) {
+    var props = vnode.props;
+    if (props) {
+      var kebabProp = prop2.replace(/([a-z])([A-Z])/g, "$1-$2").toLowerCase();
+      var propName = Object.prototype.hasOwnProperty.call(props, kebabProp) ? kebabProp : prop2;
+      return vnode.type["extends"].props[prop2].type === Boolean && props[propName] === "" ? true : props[propName];
+    }
+  }
+  return null;
+}
+__name(getVNodeProp, "getVNodeProp");
+var Base = {
+  _loadedStyleNames: /* @__PURE__ */ new Set(),
+  getLoadedStyleNames: /* @__PURE__ */ __name(function getLoadedStyleNames2() {
+    return this._loadedStyleNames;
+  }, "getLoadedStyleNames"),
+  isStyleNameLoaded: /* @__PURE__ */ __name(function isStyleNameLoaded2(name) {
+    return this._loadedStyleNames.has(name);
+  }, "isStyleNameLoaded"),
+  setLoadedStyleName: /* @__PURE__ */ __name(function setLoadedStyleName2(name) {
+    this._loadedStyleNames.add(name);
+  }, "setLoadedStyleName"),
+  deleteLoadedStyleName: /* @__PURE__ */ __name(function deleteLoadedStyleName2(name) {
+    this._loadedStyleNames["delete"](name);
+  }, "deleteLoadedStyleName"),
+  clearLoadedStyleNames: /* @__PURE__ */ __name(function clearLoadedStyleNames2() {
+    this._loadedStyleNames.clear();
+  }, "clearLoadedStyleNames")
+};
+function _typeof$h(o) {
+  "@babel/helpers - typeof";
+  return _typeof$h = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$h(o);
+}
+__name(_typeof$h, "_typeof$h");
+function _slicedToArray$3(r, e) {
+  return _arrayWithHoles$3(r) || _iterableToArrayLimit$3(r, e) || _unsupportedIterableToArray$i(r, e) || _nonIterableRest$3();
+}
+__name(_slicedToArray$3, "_slicedToArray$3");
+function _nonIterableRest$3() {
+  throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableRest$3, "_nonIterableRest$3");
+function _unsupportedIterableToArray$i(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$i(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$i(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$i, "_unsupportedIterableToArray$i");
+function _arrayLikeToArray$i(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$i, "_arrayLikeToArray$i");
+function _iterableToArrayLimit$3(r, l) {
+  var t = null == r ? null : "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (null != t) {
+    var e, n, i2, u, a = [], f = true, o = false;
+    try {
+      if (i2 = (t = t.call(r)).next, 0 === l) ;
+      else for (; !(f = (e = i2.call(t)).done) && (a.push(e.value), a.length !== l); f = true) ;
+    } catch (r2) {
+      o = true, n = r2;
+    } finally {
+      try {
+        if (!f && null != t["return"] && (u = t["return"](), Object(u) !== u)) return;
+      } finally {
+        if (o) throw n;
+      }
+    }
+    return a;
+  }
+}
+__name(_iterableToArrayLimit$3, "_iterableToArrayLimit$3");
+function _arrayWithHoles$3(r) {
+  if (Array.isArray(r)) return r;
+}
+__name(_arrayWithHoles$3, "_arrayWithHoles$3");
+function ownKeys$f(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$f, "ownKeys$f");
+function _objectSpread$f(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$f(Object(t), true).forEach(function(r2) {
+      _defineProperty$h(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$f(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$f, "_objectSpread$f");
+function _defineProperty$h(e, r, t) {
+  return (r = _toPropertyKey$g(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$h, "_defineProperty$h");
+function _toPropertyKey$g(t) {
+  var i2 = _toPrimitive$g(t, "string");
+  return "symbol" == _typeof$h(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$g, "_toPropertyKey$g");
+function _toPrimitive$g(t, r) {
+  if ("object" != _typeof$h(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$h(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$g, "_toPrimitive$g");
+var BaseDirective = {
+  _getMeta: /* @__PURE__ */ __name(function _getMeta() {
+    return [isObject$5(arguments.length <= 0 ? void 0 : arguments[0]) ? void 0 : arguments.length <= 0 ? void 0 : arguments[0], resolve(isObject$5(arguments.length <= 0 ? void 0 : arguments[0]) ? arguments.length <= 0 ? void 0 : arguments[0] : arguments.length <= 1 ? void 0 : arguments[1])];
+  }, "_getMeta"),
+  _getConfig: /* @__PURE__ */ __name(function _getConfig(binding, vnode) {
+    var _ref, _binding$instance, _vnode$ctx;
+    return (_ref = (binding === null || binding === void 0 || (_binding$instance = binding.instance) === null || _binding$instance === void 0 ? void 0 : _binding$instance.$primevue) || (vnode === null || vnode === void 0 || (_vnode$ctx = vnode.ctx) === null || _vnode$ctx === void 0 || (_vnode$ctx = _vnode$ctx.appContext) === null || _vnode$ctx === void 0 || (_vnode$ctx = _vnode$ctx.config) === null || _vnode$ctx === void 0 || (_vnode$ctx = _vnode$ctx.globalProperties) === null || _vnode$ctx === void 0 ? void 0 : _vnode$ctx.$primevue)) === null || _ref === void 0 ? void 0 : _ref.config;
+  }, "_getConfig"),
+  _getOptionValue: getKeyValue,
+  _getPTValue: /* @__PURE__ */ __name(function _getPTValue() {
+    var _instance$binding, _instance$$primevueCo;
+    var instance = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    var obj = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+    var key = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : "";
+    var params = arguments.length > 3 && arguments[3] !== void 0 ? arguments[3] : {};
+    var searchInDefaultPT = arguments.length > 4 && arguments[4] !== void 0 ? arguments[4] : true;
+    var getValue2 = /* @__PURE__ */ __name(function getValue3() {
+      var value3 = BaseDirective._getOptionValue.apply(BaseDirective, arguments);
+      return isString$4(value3) || isArray$3(value3) ? {
+        "class": value3
+      } : value3;
+    }, "getValue");
+    var _ref2 = ((_instance$binding = instance.binding) === null || _instance$binding === void 0 || (_instance$binding = _instance$binding.value) === null || _instance$binding === void 0 ? void 0 : _instance$binding.ptOptions) || ((_instance$$primevueCo = instance.$primevueConfig) === null || _instance$$primevueCo === void 0 ? void 0 : _instance$$primevueCo.ptOptions) || {}, _ref2$mergeSections = _ref2.mergeSections, mergeSections = _ref2$mergeSections === void 0 ? true : _ref2$mergeSections, _ref2$mergeProps = _ref2.mergeProps, useMergeProps = _ref2$mergeProps === void 0 ? false : _ref2$mergeProps;
+    var global2 = searchInDefaultPT ? BaseDirective._useDefaultPT(instance, instance.defaultPT(), getValue2, key, params) : void 0;
+    var self2 = BaseDirective._usePT(instance, BaseDirective._getPT(obj, instance.$name), getValue2, key, _objectSpread$f(_objectSpread$f({}, params), {}, {
+      global: global2 || {}
+    }));
+    var datasets = BaseDirective._getPTDatasets(instance, key);
+    return mergeSections || !mergeSections && self2 ? useMergeProps ? BaseDirective._mergeProps(instance, useMergeProps, global2, self2, datasets) : _objectSpread$f(_objectSpread$f(_objectSpread$f({}, global2), self2), datasets) : _objectSpread$f(_objectSpread$f({}, self2), datasets);
+  }, "_getPTValue"),
+  _getPTDatasets: /* @__PURE__ */ __name(function _getPTDatasets() {
+    var instance = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    var key = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+    var datasetPrefix = "data-pc-";
+    return _objectSpread$f(_objectSpread$f({}, key === "root" && _defineProperty$h({}, "".concat(datasetPrefix, "name"), toFlatCase(instance.$name))), {}, _defineProperty$h({}, "".concat(datasetPrefix, "section"), toFlatCase(key)));
+  }, "_getPTDatasets"),
+  _getPT: /* @__PURE__ */ __name(function _getPT(pt) {
+    var key = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+    var callback = arguments.length > 2 ? arguments[2] : void 0;
+    var getValue2 = /* @__PURE__ */ __name(function getValue3(value3) {
+      var _computedValue$_key;
+      var computedValue = callback ? callback(value3) : value3;
+      var _key = toFlatCase(key);
+      return (_computedValue$_key = computedValue === null || computedValue === void 0 ? void 0 : computedValue[_key]) !== null && _computedValue$_key !== void 0 ? _computedValue$_key : computedValue;
+    }, "getValue");
+    return pt !== null && pt !== void 0 && pt.hasOwnProperty("_usept") ? {
+      _usept: pt["_usept"],
+      originalValue: getValue2(pt.originalValue),
+      value: getValue2(pt.value)
+    } : getValue2(pt);
+  }, "_getPT"),
+  _usePT: /* @__PURE__ */ __name(function _usePT() {
+    var instance = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    var pt = arguments.length > 1 ? arguments[1] : void 0;
+    var callback = arguments.length > 2 ? arguments[2] : void 0;
+    var key = arguments.length > 3 ? arguments[3] : void 0;
+    var params = arguments.length > 4 ? arguments[4] : void 0;
+    var fn = /* @__PURE__ */ __name(function fn2(value4) {
+      return callback(value4, key, params);
+    }, "fn");
+    if (pt !== null && pt !== void 0 && pt.hasOwnProperty("_usept")) {
+      var _instance$$primevueCo2;
+      var _ref4 = pt["_usept"] || ((_instance$$primevueCo2 = instance.$primevueConfig) === null || _instance$$primevueCo2 === void 0 ? void 0 : _instance$$primevueCo2.ptOptions) || {}, _ref4$mergeSections = _ref4.mergeSections, mergeSections = _ref4$mergeSections === void 0 ? true : _ref4$mergeSections, _ref4$mergeProps = _ref4.mergeProps, useMergeProps = _ref4$mergeProps === void 0 ? false : _ref4$mergeProps;
+      var originalValue = fn(pt.originalValue);
+      var value3 = fn(pt.value);
+      if (originalValue === void 0 && value3 === void 0) return void 0;
+      else if (isString$4(value3)) return value3;
+      else if (isString$4(originalValue)) return originalValue;
+      return mergeSections || !mergeSections && value3 ? useMergeProps ? BaseDirective._mergeProps(instance, useMergeProps, originalValue, value3) : _objectSpread$f(_objectSpread$f({}, originalValue), value3) : value3;
+    }
+    return fn(pt);
+  }, "_usePT"),
+  _useDefaultPT: /* @__PURE__ */ __name(function _useDefaultPT() {
+    var instance = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    var defaultPT2 = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+    var callback = arguments.length > 2 ? arguments[2] : void 0;
+    var key = arguments.length > 3 ? arguments[3] : void 0;
+    var params = arguments.length > 4 ? arguments[4] : void 0;
+    return BaseDirective._usePT(instance, defaultPT2, callback, key, params);
+  }, "_useDefaultPT"),
+  _loadStyles: /* @__PURE__ */ __name(function _loadStyles(el, binding, vnode) {
+    var _config$csp;
+    var config = BaseDirective._getConfig(binding, vnode);
+    var useStyleOptions = {
+      nonce: config === null || config === void 0 || (_config$csp = config.csp) === null || _config$csp === void 0 ? void 0 : _config$csp.nonce
+    };
+    BaseDirective._loadCoreStyles(el.$instance, useStyleOptions);
+    BaseDirective._loadThemeStyles(el.$instance, useStyleOptions);
+    BaseDirective._loadScopedThemeStyles(el.$instance, useStyleOptions);
+    BaseDirective._themeChangeListener(function() {
+      return BaseDirective._loadThemeStyles(el.$instance, useStyleOptions);
+    });
+  }, "_loadStyles"),
+  _loadCoreStyles: /* @__PURE__ */ __name(function _loadCoreStyles() {
+    var _instance$$style, _instance$$style2;
+    var instance = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    var useStyleOptions = arguments.length > 1 ? arguments[1] : void 0;
+    if (!Base.isStyleNameLoaded((_instance$$style = instance.$style) === null || _instance$$style === void 0 ? void 0 : _instance$$style.name) && (_instance$$style2 = instance.$style) !== null && _instance$$style2 !== void 0 && _instance$$style2.name) {
+      var _instance$$style3;
+      BaseStyle.loadCSS(useStyleOptions);
+      instance.isUnstyled() && ((_instance$$style3 = instance.$style) === null || _instance$$style3 === void 0 ? void 0 : _instance$$style3.loadCSS(useStyleOptions));
+      Base.setLoadedStyleName(instance.$style.name);
+    }
+  }, "_loadCoreStyles"),
+  _loadThemeStyles: /* @__PURE__ */ __name(function _loadThemeStyles() {
+    var _instance$$style5, _instance$$style6;
+    var instance = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    var useStyleOptions = arguments.length > 1 ? arguments[1] : void 0;
+    if (instance !== null && instance !== void 0 && instance.isUnstyled()) return;
+    if (!config_default.isStyleNameLoaded("common")) {
+      var _instance$$style4, _instance$$style4$get;
+      var _ref5 = ((_instance$$style4 = instance.$style) === null || _instance$$style4 === void 0 || (_instance$$style4$get = _instance$$style4.getCommonTheme) === null || _instance$$style4$get === void 0 ? void 0 : _instance$$style4$get.call(_instance$$style4)) || {}, primitive = _ref5.primitive, semantic = _ref5.semantic;
+      BaseStyle.load(primitive === null || primitive === void 0 ? void 0 : primitive.css, _objectSpread$f({
+        name: "primitive-variables"
+      }, useStyleOptions));
+      BaseStyle.load(semantic === null || semantic === void 0 ? void 0 : semantic.css, _objectSpread$f({
+        name: "semantic-variables"
+      }, useStyleOptions));
+      BaseStyle.loadTheme(_objectSpread$f({
+        name: "global-style"
+      }, useStyleOptions));
+      config_default.setLoadedStyleName("common");
+    }
+    if (!config_default.isStyleNameLoaded((_instance$$style5 = instance.$style) === null || _instance$$style5 === void 0 ? void 0 : _instance$$style5.name) && (_instance$$style6 = instance.$style) !== null && _instance$$style6 !== void 0 && _instance$$style6.name) {
+      var _instance$$style7, _instance$$style7$get, _instance$$style8, _instance$$style9;
+      var _ref6 = ((_instance$$style7 = instance.$style) === null || _instance$$style7 === void 0 || (_instance$$style7$get = _instance$$style7.getDirectiveTheme) === null || _instance$$style7$get === void 0 ? void 0 : _instance$$style7$get.call(_instance$$style7)) || {}, css4 = _ref6.css;
+      (_instance$$style8 = instance.$style) === null || _instance$$style8 === void 0 || _instance$$style8.load(css4, _objectSpread$f({
+        name: "".concat(instance.$style.name, "-variables")
+      }, useStyleOptions));
+      (_instance$$style9 = instance.$style) === null || _instance$$style9 === void 0 || _instance$$style9.loadTheme(_objectSpread$f({
+        name: "".concat(instance.$style.name, "-style")
+      }, useStyleOptions));
+      config_default.setLoadedStyleName(instance.$style.name);
+    }
+    if (!config_default.isStyleNameLoaded("layer-order")) {
+      var _instance$$style10, _instance$$style10$ge;
+      var layerOrder = (_instance$$style10 = instance.$style) === null || _instance$$style10 === void 0 || (_instance$$style10$ge = _instance$$style10.getLayerOrderThemeCSS) === null || _instance$$style10$ge === void 0 ? void 0 : _instance$$style10$ge.call(_instance$$style10);
+      BaseStyle.load(layerOrder, _objectSpread$f({
+        name: "layer-order",
+        first: true
+      }, useStyleOptions));
+      config_default.setLoadedStyleName("layer-order");
+    }
+  }, "_loadThemeStyles"),
+  _loadScopedThemeStyles: /* @__PURE__ */ __name(function _loadScopedThemeStyles() {
+    var instance = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+    var useStyleOptions = arguments.length > 1 ? arguments[1] : void 0;
+    var preset = instance.preset();
+    if (preset && instance.$attrSelector) {
+      var _instance$$style11, _instance$$style11$ge, _instance$$style12;
+      var _ref7 = ((_instance$$style11 = instance.$style) === null || _instance$$style11 === void 0 || (_instance$$style11$ge = _instance$$style11.getPresetTheme) === null || _instance$$style11$ge === void 0 ? void 0 : _instance$$style11$ge.call(_instance$$style11, preset, "[".concat(instance.$attrSelector, "]"))) || {}, css4 = _ref7.css;
+      var scopedStyle = (_instance$$style12 = instance.$style) === null || _instance$$style12 === void 0 ? void 0 : _instance$$style12.load(css4, _objectSpread$f({
+        name: "".concat(instance.$attrSelector, "-").concat(instance.$style.name)
+      }, useStyleOptions));
+      instance.scopedStyleEl = scopedStyle.el;
+    }
+  }, "_loadScopedThemeStyles"),
+  _themeChangeListener: /* @__PURE__ */ __name(function _themeChangeListener() {
+    var callback = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : function() {
+    };
+    Base.clearLoadedStyleNames();
+    service_default.on("theme:change", callback);
+  }, "_themeChangeListener"),
+  _hook: /* @__PURE__ */ __name(function _hook(directiveName, hookName, el, binding, vnode, prevVnode) {
+    var _binding$value, _config$pt;
+    var name = "on".concat(toCapitalCase(hookName));
+    var config = BaseDirective._getConfig(binding, vnode);
+    var instance = el === null || el === void 0 ? void 0 : el.$instance;
+    var selfHook = BaseDirective._usePT(instance, BaseDirective._getPT(binding === null || binding === void 0 || (_binding$value = binding.value) === null || _binding$value === void 0 ? void 0 : _binding$value.pt, directiveName), BaseDirective._getOptionValue, "hooks.".concat(name));
+    var defaultHook = BaseDirective._useDefaultPT(instance, config === null || config === void 0 || (_config$pt = config.pt) === null || _config$pt === void 0 || (_config$pt = _config$pt.directives) === null || _config$pt === void 0 ? void 0 : _config$pt[directiveName], BaseDirective._getOptionValue, "hooks.".concat(name));
+    var options3 = {
+      el,
+      binding,
+      vnode,
+      prevVnode
+    };
+    selfHook === null || selfHook === void 0 || selfHook(instance, options3);
+    defaultHook === null || defaultHook === void 0 || defaultHook(instance, options3);
+  }, "_hook"),
+  _mergeProps: /* @__PURE__ */ __name(function _mergeProps() {
+    var fn = arguments.length > 1 ? arguments[1] : void 0;
+    for (var _len = arguments.length, args = new Array(_len > 2 ? _len - 2 : 0), _key2 = 2; _key2 < _len; _key2++) {
+      args[_key2 - 2] = arguments[_key2];
+    }
+    return isFunction$3(fn) ? fn.apply(void 0, args) : mergeProps.apply(void 0, args);
+  }, "_mergeProps"),
+  _extend: /* @__PURE__ */ __name(function _extend(name) {
+    var options3 = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+    var handleHook = /* @__PURE__ */ __name(function handleHook2(hook, el, binding, vnode, prevVnode) {
+      var _el$$instance$hook, _el$$instance9, _el$$pd;
+      el._$instances = el._$instances || {};
+      var config = BaseDirective._getConfig(binding, vnode);
+      var $prevInstance = el._$instances[name] || {};
+      var $options = isEmpty($prevInstance) ? _objectSpread$f(_objectSpread$f({}, options3), options3 === null || options3 === void 0 ? void 0 : options3.methods) : {};
+      el._$instances[name] = _objectSpread$f(_objectSpread$f({}, $prevInstance), {}, {
+        /* new instance variables to pass in directive methods */
+        $name: name,
+        $host: el,
+        $binding: binding,
+        $modifiers: binding === null || binding === void 0 ? void 0 : binding.modifiers,
+        $value: binding === null || binding === void 0 ? void 0 : binding.value,
+        $el: $prevInstance["$el"] || el || void 0,
+        $style: _objectSpread$f({
+          classes: void 0,
+          inlineStyles: void 0,
+          load: /* @__PURE__ */ __name(function load2() {
+          }, "load"),
+          loadCSS: /* @__PURE__ */ __name(function loadCSS2() {
+          }, "loadCSS"),
+          loadTheme: /* @__PURE__ */ __name(function loadTheme2() {
+          }, "loadTheme")
+        }, options3 === null || options3 === void 0 ? void 0 : options3.style),
+        $primevueConfig: config,
+        $attrSelector: el.$attrSelector,
+        /* computed instance variables */
+        defaultPT: /* @__PURE__ */ __name(function defaultPT2() {
+          return BaseDirective._getPT(config === null || config === void 0 ? void 0 : config.pt, void 0, function(value3) {
+            var _value$directives;
+            return value3 === null || value3 === void 0 || (_value$directives = value3.directives) === null || _value$directives === void 0 ? void 0 : _value$directives[name];
+          });
+        }, "defaultPT"),
+        isUnstyled: /* @__PURE__ */ __name(function isUnstyled2() {
+          var _el$$instance, _el$$instance2;
+          return ((_el$$instance = el.$instance) === null || _el$$instance === void 0 || (_el$$instance = _el$$instance.$binding) === null || _el$$instance === void 0 || (_el$$instance = _el$$instance.value) === null || _el$$instance === void 0 ? void 0 : _el$$instance.unstyled) !== void 0 ? (_el$$instance2 = el.$instance) === null || _el$$instance2 === void 0 || (_el$$instance2 = _el$$instance2.$binding) === null || _el$$instance2 === void 0 || (_el$$instance2 = _el$$instance2.value) === null || _el$$instance2 === void 0 ? void 0 : _el$$instance2.unstyled : config === null || config === void 0 ? void 0 : config.unstyled;
+        }, "isUnstyled"),
+        theme: /* @__PURE__ */ __name(function theme38() {
+          var _el$$instance3;
+          return (_el$$instance3 = el.$instance) === null || _el$$instance3 === void 0 || (_el$$instance3 = _el$$instance3.$primevueConfig) === null || _el$$instance3 === void 0 ? void 0 : _el$$instance3.theme;
+        }, "theme"),
+        preset: /* @__PURE__ */ __name(function preset() {
+          var _el$$instance4;
+          return (_el$$instance4 = el.$instance) === null || _el$$instance4 === void 0 || (_el$$instance4 = _el$$instance4.$binding) === null || _el$$instance4 === void 0 || (_el$$instance4 = _el$$instance4.value) === null || _el$$instance4 === void 0 ? void 0 : _el$$instance4.dt;
+        }, "preset"),
+        /* instance's methods */
+        ptm: /* @__PURE__ */ __name(function ptm2() {
+          var _el$$instance5;
+          var key = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+          var params = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+          return BaseDirective._getPTValue(el.$instance, (_el$$instance5 = el.$instance) === null || _el$$instance5 === void 0 || (_el$$instance5 = _el$$instance5.$binding) === null || _el$$instance5 === void 0 || (_el$$instance5 = _el$$instance5.value) === null || _el$$instance5 === void 0 ? void 0 : _el$$instance5.pt, key, _objectSpread$f({}, params));
+        }, "ptm"),
+        ptmo: /* @__PURE__ */ __name(function ptmo2() {
+          var obj = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+          var key = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+          var params = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {};
+          return BaseDirective._getPTValue(el.$instance, obj, key, params, false);
+        }, "ptmo"),
+        cx: /* @__PURE__ */ __name(function cx2() {
+          var _el$$instance6, _el$$instance7;
+          var key = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+          var params = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+          return !((_el$$instance6 = el.$instance) !== null && _el$$instance6 !== void 0 && _el$$instance6.isUnstyled()) ? BaseDirective._getOptionValue((_el$$instance7 = el.$instance) === null || _el$$instance7 === void 0 || (_el$$instance7 = _el$$instance7.$style) === null || _el$$instance7 === void 0 ? void 0 : _el$$instance7.classes, key, _objectSpread$f({}, params)) : void 0;
+        }, "cx"),
+        sx: /* @__PURE__ */ __name(function sx2() {
+          var _el$$instance8;
+          var key = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+          var when = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : true;
+          var params = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {};
+          return when ? BaseDirective._getOptionValue((_el$$instance8 = el.$instance) === null || _el$$instance8 === void 0 || (_el$$instance8 = _el$$instance8.$style) === null || _el$$instance8 === void 0 ? void 0 : _el$$instance8.inlineStyles, key, _objectSpread$f({}, params)) : void 0;
+        }, "sx")
+      }, $options);
+      el.$instance = el._$instances[name];
+      (_el$$instance$hook = (_el$$instance9 = el.$instance)[hook]) === null || _el$$instance$hook === void 0 || _el$$instance$hook.call(_el$$instance9, el, binding, vnode, prevVnode);
+      el["$".concat(name)] = el.$instance;
+      BaseDirective._hook(name, hook, el, binding, vnode, prevVnode);
+      el.$pd || (el.$pd = {});
+      el.$pd[name] = _objectSpread$f(_objectSpread$f({}, (_el$$pd = el.$pd) === null || _el$$pd === void 0 ? void 0 : _el$$pd[name]), {}, {
+        name,
+        instance: el.$instance
+      });
+    }, "handleHook");
+    var handleWatch = /* @__PURE__ */ __name(function handleWatch2(el) {
+      var _el$$instance10, _watchers$config, _el$$instance11, _watchers$configRipp, _el$$instance12;
+      var watchers = (_el$$instance10 = el.$instance) === null || _el$$instance10 === void 0 ? void 0 : _el$$instance10.watch;
+      watchers === null || watchers === void 0 || (_watchers$config = watchers["config"]) === null || _watchers$config === void 0 || _watchers$config.call(el.$instance, (_el$$instance11 = el.$instance) === null || _el$$instance11 === void 0 ? void 0 : _el$$instance11.$primevueConfig);
+      PrimeVueService.on("config:change", function(_ref8) {
+        var _watchers$config2;
+        var newValue = _ref8.newValue, oldValue = _ref8.oldValue;
+        return watchers === null || watchers === void 0 || (_watchers$config2 = watchers["config"]) === null || _watchers$config2 === void 0 ? void 0 : _watchers$config2.call(el.$instance, newValue, oldValue);
+      });
+      watchers === null || watchers === void 0 || (_watchers$configRipp = watchers["config.ripple"]) === null || _watchers$configRipp === void 0 || _watchers$configRipp.call(el.$instance, (_el$$instance12 = el.$instance) === null || _el$$instance12 === void 0 || (_el$$instance12 = _el$$instance12.$primevueConfig) === null || _el$$instance12 === void 0 ? void 0 : _el$$instance12.ripple);
+      PrimeVueService.on("config:ripple:change", function(_ref9) {
+        var _watchers$configRipp2;
+        var newValue = _ref9.newValue, oldValue = _ref9.oldValue;
+        return watchers === null || watchers === void 0 || (_watchers$configRipp2 = watchers["config.ripple"]) === null || _watchers$configRipp2 === void 0 ? void 0 : _watchers$configRipp2.call(el.$instance, newValue, oldValue);
+      });
+    }, "handleWatch");
+    return {
+      created: /* @__PURE__ */ __name(function created3(el, binding, vnode, prevVnode) {
+        handleHook("created", el, binding, vnode, prevVnode);
+      }, "created"),
+      beforeMount: /* @__PURE__ */ __name(function beforeMount4(el, binding, vnode, prevVnode) {
+        el.$attrSelector = UniqueComponentId("pd");
+        BaseDirective._loadStyles(el, binding, vnode);
+        handleHook("beforeMount", el, binding, vnode, prevVnode);
+        handleWatch(el);
+      }, "beforeMount"),
+      mounted: /* @__PURE__ */ __name(function mounted23(el, binding, vnode, prevVnode) {
+        BaseDirective._loadStyles(el, binding, vnode);
+        handleHook("mounted", el, binding, vnode, prevVnode);
+      }, "mounted"),
+      beforeUpdate: /* @__PURE__ */ __name(function beforeUpdate2(el, binding, vnode, prevVnode) {
+        handleHook("beforeUpdate", el, binding, vnode, prevVnode);
+      }, "beforeUpdate"),
+      updated: /* @__PURE__ */ __name(function updated12(el, binding, vnode, prevVnode) {
+        BaseDirective._loadStyles(el, binding, vnode);
+        handleHook("updated", el, binding, vnode, prevVnode);
+      }, "updated"),
+      beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount17(el, binding, vnode, prevVnode) {
+        handleHook("beforeUnmount", el, binding, vnode, prevVnode);
+      }, "beforeUnmount"),
+      unmounted: /* @__PURE__ */ __name(function unmounted6(el, binding, vnode, prevVnode) {
+        var _el$$instance13;
+        (_el$$instance13 = el.$instance) === null || _el$$instance13 === void 0 || (_el$$instance13 = _el$$instance13.scopedStyleEl) === null || _el$$instance13 === void 0 || (_el$$instance13 = _el$$instance13.value) === null || _el$$instance13 === void 0 || _el$$instance13.remove();
+        handleHook("unmounted", el, binding, vnode, prevVnode);
+      }, "unmounted")
+    };
+  }, "_extend"),
+  extend: /* @__PURE__ */ __name(function extend3() {
+    var _BaseDirective$_getMe = BaseDirective._getMeta.apply(BaseDirective, arguments), _BaseDirective$_getMe2 = _slicedToArray$3(_BaseDirective$_getMe, 2), name = _BaseDirective$_getMe2[0], options3 = _BaseDirective$_getMe2[1];
+    return _objectSpread$f({
+      extend: /* @__PURE__ */ __name(function extend4() {
+        var _BaseDirective$_getMe3 = BaseDirective._getMeta.apply(BaseDirective, arguments), _BaseDirective$_getMe4 = _slicedToArray$3(_BaseDirective$_getMe3, 2), _name = _BaseDirective$_getMe4[0], _options = _BaseDirective$_getMe4[1];
+        return BaseDirective.extend(_name, _objectSpread$f(_objectSpread$f(_objectSpread$f({}, options3), options3 === null || options3 === void 0 ? void 0 : options3.methods), _options));
+      }, "extend")
+    }, BaseDirective._extend(name, options3));
+  }, "extend")
+};
+var theme$y = /* @__PURE__ */ __name(function theme3(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-tooltip {\n    position: absolute;\n    display: none;\n    max-width: ".concat(dt3("tooltip.max.width"), ";\n}\n\n.p-tooltip-right,\n.p-tooltip-left {\n    padding: 0 ").concat(dt3("tooltip.gutter"), ";\n}\n\n.p-tooltip-top,\n.p-tooltip-bottom {\n    padding: ").concat(dt3("tooltip.gutter"), " 0;\n}\n\n.p-tooltip-text {\n    white-space: pre-line;\n    word-break: break-word;\n    background: ").concat(dt3("tooltip.background"), ";\n    color: ").concat(dt3("tooltip.color"), ";\n    padding: ").concat(dt3("tooltip.padding"), ";\n    box-shadow: ").concat(dt3("tooltip.shadow"), ";\n    border-radius: ").concat(dt3("tooltip.border.radius"), ";\n}\n\n.p-tooltip-arrow {\n    position: absolute;\n    width: 0;\n    height: 0;\n    border-color: transparent;\n    border-style: solid;\n    scale: 2;\n}\n\n.p-tooltip-right .p-tooltip-arrow {\n    margin-top: calc(-1 * ").concat(dt3("tooltip.gutter"), ");\n    border-width: ").concat(dt3("tooltip.gutter"), " ").concat(dt3("tooltip.gutter"), " ").concat(dt3("tooltip.gutter"), " 0;\n    border-right-color: ").concat(dt3("tooltip.background"), ";\n}\n\n.p-tooltip-left .p-tooltip-arrow {\n    margin-top: calc(-1 * ").concat(dt3("tooltip.gutter"), ");\n    border-width: ").concat(dt3("tooltip.gutter"), " 0 ").concat(dt3("tooltip.gutter"), " ").concat(dt3("tooltip.gutter"), ";\n    border-left-color: ").concat(dt3("tooltip.background"), ";\n}\n\n.p-tooltip-top .p-tooltip-arrow {\n    margin-left: calc(-1 * ").concat(dt3("tooltip.gutter"), ");\n    border-width: ").concat(dt3("tooltip.gutter"), " ").concat(dt3("tooltip.gutter"), " 0 ").concat(dt3("tooltip.gutter"), ";\n    border-top-color: ").concat(dt3("tooltip.background"), ";\n    border-bottom-color: ").concat(dt3("tooltip.background"), ";\n}\n\n.p-tooltip-bottom .p-tooltip-arrow {\n    margin-left: calc(-1 * ").concat(dt3("tooltip.gutter"), ");\n    border-width: 0 ").concat(dt3("tooltip.gutter"), " ").concat(dt3("tooltip.gutter"), " ").concat(dt3("tooltip.gutter"), ";\n    border-top-color: ").concat(dt3("tooltip.background"), ";\n    border-bottom-color: ").concat(dt3("tooltip.background"), ";\n}\n");
+}, "theme");
+var classes$B = {
+  root: "p-tooltip p-component",
+  arrow: "p-tooltip-arrow",
+  text: "p-tooltip-text"
+};
+var TooltipStyle = BaseStyle.extend({
+  name: "tooltip-directive",
+  theme: theme$y,
+  classes: classes$B
+});
+var BaseTooltip = BaseDirective.extend({
+  style: TooltipStyle
+});
+function _slicedToArray$2(r, e) {
+  return _arrayWithHoles$2(r) || _iterableToArrayLimit$2(r, e) || _unsupportedIterableToArray$h(r, e) || _nonIterableRest$2();
+}
+__name(_slicedToArray$2, "_slicedToArray$2");
+function _nonIterableRest$2() {
+  throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableRest$2, "_nonIterableRest$2");
+function _unsupportedIterableToArray$h(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$h(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$h(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$h, "_unsupportedIterableToArray$h");
+function _arrayLikeToArray$h(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$h, "_arrayLikeToArray$h");
+function _iterableToArrayLimit$2(r, l) {
+  var t = null == r ? null : "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (null != t) {
+    var e, n, i2, u, a = [], f = true, o = false;
+    try {
+      if (i2 = (t = t.call(r)).next, 0 === l) ;
+      else for (; !(f = (e = i2.call(t)).done) && (a.push(e.value), a.length !== l); f = true) ;
+    } catch (r2) {
+      o = true, n = r2;
+    } finally {
+      try {
+        if (!f && null != t["return"] && (u = t["return"](), Object(u) !== u)) return;
+      } finally {
+        if (o) throw n;
+      }
+    }
+    return a;
+  }
+}
+__name(_iterableToArrayLimit$2, "_iterableToArrayLimit$2");
+function _arrayWithHoles$2(r) {
+  if (Array.isArray(r)) return r;
+}
+__name(_arrayWithHoles$2, "_arrayWithHoles$2");
+function _defineProperty$g(e, r, t) {
+  return (r = _toPropertyKey$f(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$g, "_defineProperty$g");
+function _toPropertyKey$f(t) {
+  var i2 = _toPrimitive$f(t, "string");
+  return "symbol" == _typeof$g(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$f, "_toPropertyKey$f");
+function _toPrimitive$f(t, r) {
+  if ("object" != _typeof$g(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$g(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$f, "_toPrimitive$f");
+function _typeof$g(o) {
+  "@babel/helpers - typeof";
+  return _typeof$g = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$g(o);
+}
+__name(_typeof$g, "_typeof$g");
+var Tooltip = BaseTooltip.extend("tooltip", {
+  beforeMount: /* @__PURE__ */ __name(function beforeMount(el, options3) {
+    var _options$instance$$pr;
+    var target = this.getTarget(el);
+    target.$_ptooltipModifiers = this.getModifiers(options3);
+    if (!options3.value) return;
+    else if (typeof options3.value === "string") {
+      target.$_ptooltipValue = options3.value;
+      target.$_ptooltipDisabled = false;
+      target.$_ptooltipEscape = true;
+      target.$_ptooltipClass = null;
+      target.$_ptooltipFitContent = true;
+      target.$_ptooltipIdAttr = UniqueComponentId() + "_tooltip";
+      target.$_ptooltipShowDelay = 0;
+      target.$_ptooltipHideDelay = 0;
+      target.$_ptooltipAutoHide = true;
+    } else if (_typeof$g(options3.value) === "object" && options3.value) {
+      if (isEmpty(options3.value.value) || options3.value.value.trim() === "") return;
+      else {
+        target.$_ptooltipValue = options3.value.value;
+        target.$_ptooltipDisabled = !!options3.value.disabled === options3.value.disabled ? options3.value.disabled : false;
+        target.$_ptooltipEscape = !!options3.value.escape === options3.value.escape ? options3.value.escape : true;
+        target.$_ptooltipClass = options3.value["class"] || "";
+        target.$_ptooltipFitContent = !!options3.value.fitContent === options3.value.fitContent ? options3.value.fitContent : true;
+        target.$_ptooltipIdAttr = options3.value.id || UniqueComponentId() + "_tooltip";
+        target.$_ptooltipShowDelay = options3.value.showDelay || 0;
+        target.$_ptooltipHideDelay = options3.value.hideDelay || 0;
+        target.$_ptooltipAutoHide = !!options3.value.autoHide === options3.value.autoHide ? options3.value.autoHide : true;
+      }
+    }
+    target.$_ptooltipZIndex = (_options$instance$$pr = options3.instance.$primevue) === null || _options$instance$$pr === void 0 || (_options$instance$$pr = _options$instance$$pr.config) === null || _options$instance$$pr === void 0 || (_options$instance$$pr = _options$instance$$pr.zIndex) === null || _options$instance$$pr === void 0 ? void 0 : _options$instance$$pr.tooltip;
+    this.bindEvents(target, options3);
+    el.setAttribute("data-pd-tooltip", true);
+  }, "beforeMount"),
+  updated: /* @__PURE__ */ __name(function updated(el, options3) {
+    var target = this.getTarget(el);
+    target.$_ptooltipModifiers = this.getModifiers(options3);
+    this.unbindEvents(target);
+    if (!options3.value) {
+      return;
+    }
+    if (typeof options3.value === "string") {
+      target.$_ptooltipValue = options3.value;
+      target.$_ptooltipDisabled = false;
+      target.$_ptooltipEscape = true;
+      target.$_ptooltipClass = null;
+      target.$_ptooltipIdAttr = target.$_ptooltipIdAttr || UniqueComponentId() + "_tooltip";
+      target.$_ptooltipShowDelay = 0;
+      target.$_ptooltipHideDelay = 0;
+      target.$_ptooltipAutoHide = true;
+      this.bindEvents(target, options3);
+    } else if (_typeof$g(options3.value) === "object" && options3.value) {
+      if (isEmpty(options3.value.value) || options3.value.value.trim() === "") {
+        this.unbindEvents(target, options3);
+        return;
+      } else {
+        target.$_ptooltipValue = options3.value.value;
+        target.$_ptooltipDisabled = !!options3.value.disabled === options3.value.disabled ? options3.value.disabled : false;
+        target.$_ptooltipEscape = !!options3.value.escape === options3.value.escape ? options3.value.escape : true;
+        target.$_ptooltipClass = options3.value["class"] || "";
+        target.$_ptooltipFitContent = !!options3.value.fitContent === options3.value.fitContent ? options3.value.fitContent : true;
+        target.$_ptooltipIdAttr = options3.value.id || target.$_ptooltipIdAttr || UniqueComponentId() + "_tooltip";
+        target.$_ptooltipShowDelay = options3.value.showDelay || 0;
+        target.$_ptooltipHideDelay = options3.value.hideDelay || 0;
+        target.$_ptooltipAutoHide = !!options3.value.autoHide === options3.value.autoHide ? options3.value.autoHide : true;
+        this.bindEvents(target, options3);
+      }
+    }
+  }, "updated"),
+  unmounted: /* @__PURE__ */ __name(function unmounted(el, options3) {
+    var target = this.getTarget(el);
+    this.remove(target);
+    this.unbindEvents(target, options3);
+    if (target.$_ptooltipScrollHandler) {
+      target.$_ptooltipScrollHandler.destroy();
+      target.$_ptooltipScrollHandler = null;
+    }
+  }, "unmounted"),
+  timer: void 0,
+  methods: {
+    bindEvents: /* @__PURE__ */ __name(function bindEvents(el, options3) {
+      var _this = this;
+      var modifiers = el.$_ptooltipModifiers;
+      if (modifiers.focus) {
+        el.$_focusevent = function(event2) {
+          return _this.onFocus(event2, options3);
+        };
+        el.addEventListener("focus", el.$_focusevent);
+        el.addEventListener("blur", this.onBlur.bind(this));
+      } else {
+        el.$_mouseenterevent = function(event2) {
+          return _this.onMouseEnter(event2, options3);
+        };
+        el.addEventListener("mouseenter", el.$_mouseenterevent);
+        el.addEventListener("mouseleave", this.onMouseLeave.bind(this));
+        el.addEventListener("click", this.onClick.bind(this));
+      }
+      el.addEventListener("keydown", this.onKeydown.bind(this));
+    }, "bindEvents"),
+    unbindEvents: /* @__PURE__ */ __name(function unbindEvents(el) {
+      var modifiers = el.$_ptooltipModifiers;
+      if (modifiers.focus) {
+        el.removeEventListener("focus", el.$_focusevent);
+        el.$_focusevent = null;
+        el.removeEventListener("blur", this.onBlur.bind(this));
+      } else {
+        el.removeEventListener("mouseenter", el.$_mouseenterevent);
+        el.$_mouseenterevent = null;
+        el.removeEventListener("mouseleave", this.onMouseLeave.bind(this));
+        el.removeEventListener("click", this.onClick.bind(this));
+      }
+      el.removeEventListener("keydown", this.onKeydown.bind(this));
+    }, "unbindEvents"),
+    bindScrollListener: /* @__PURE__ */ __name(function bindScrollListener(el) {
+      var _this2 = this;
+      if (!el.$_ptooltipScrollHandler) {
+        el.$_ptooltipScrollHandler = new ConnectedOverlayScrollHandler(el, function() {
+          _this2.hide(el);
+        });
+      }
+      el.$_ptooltipScrollHandler.bindScrollListener();
+    }, "bindScrollListener"),
+    unbindScrollListener: /* @__PURE__ */ __name(function unbindScrollListener(el) {
+      if (el.$_ptooltipScrollHandler) {
+        el.$_ptooltipScrollHandler.unbindScrollListener();
+      }
+    }, "unbindScrollListener"),
+    onMouseEnter: /* @__PURE__ */ __name(function onMouseEnter(event2, options3) {
+      var el = event2.currentTarget;
+      var showDelay = el.$_ptooltipShowDelay;
+      this.show(el, options3, showDelay);
+    }, "onMouseEnter"),
+    onMouseLeave: /* @__PURE__ */ __name(function onMouseLeave(event2) {
+      var el = event2.currentTarget;
+      var hideDelay = el.$_ptooltipHideDelay;
+      var autoHide = el.$_ptooltipAutoHide;
+      if (!autoHide) {
+        var valid = getAttribute(event2.target, "data-pc-name") === "tooltip" || getAttribute(event2.target, "data-pc-section") === "arrow" || getAttribute(event2.target, "data-pc-section") === "text" || getAttribute(event2.relatedTarget, "data-pc-name") === "tooltip" || getAttribute(event2.relatedTarget, "data-pc-section") === "arrow" || getAttribute(event2.relatedTarget, "data-pc-section") === "text";
+        !valid && this.hide(el, hideDelay);
+      } else {
+        this.hide(el, hideDelay);
+      }
+    }, "onMouseLeave"),
+    onFocus: /* @__PURE__ */ __name(function onFocus(event2, options3) {
+      var el = event2.currentTarget;
+      var showDelay = el.$_ptooltipShowDelay;
+      this.show(el, options3, showDelay);
+    }, "onFocus"),
+    onBlur: /* @__PURE__ */ __name(function onBlur(event2) {
+      var el = event2.currentTarget;
+      var hideDelay = el.$_ptooltipHideDelay;
+      this.hide(el, hideDelay);
+    }, "onBlur"),
+    onClick: /* @__PURE__ */ __name(function onClick(event2) {
+      var el = event2.currentTarget;
+      var hideDelay = el.$_ptooltipHideDelay;
+      this.hide(el, hideDelay);
+    }, "onClick"),
+    onKeydown: /* @__PURE__ */ __name(function onKeydown(event2) {
+      var el = event2.currentTarget;
+      var hideDelay = el.$_ptooltipHideDelay;
+      event2.code === "Escape" && this.hide(event2.currentTarget, hideDelay);
+    }, "onKeydown"),
+    tooltipActions: /* @__PURE__ */ __name(function tooltipActions(el, options3) {
+      if (el.$_ptooltipDisabled || !isExist(el)) {
+        return;
+      }
+      var tooltipElement = this.create(el, options3);
+      this.align(el);
+      !this.isUnstyled() && fadeIn(tooltipElement, 250);
+      var $this = this;
+      window.addEventListener("resize", /* @__PURE__ */ __name(function onWindowResize() {
+        if (!isTouchDevice()) {
+          $this.hide(el);
+        }
+        window.removeEventListener("resize", onWindowResize);
+      }, "onWindowResize"));
+      tooltipElement.addEventListener("mouseleave", /* @__PURE__ */ __name(function onTooltipLeave() {
+        $this.hide(el);
+        tooltipElement.removeEventListener("mouseleave", onTooltipLeave);
+      }, "onTooltipLeave"));
+      this.bindScrollListener(el);
+      ZIndex.set("tooltip", tooltipElement, el.$_ptooltipZIndex);
+    }, "tooltipActions"),
+    show: /* @__PURE__ */ __name(function show(el, options3, showDelay) {
+      var _this3 = this;
+      if (showDelay !== void 0) {
+        this.timer = setTimeout(function() {
+          return _this3.tooltipActions(el, options3);
+        }, showDelay);
+      } else {
+        this.tooltipActions(el, options3);
+      }
+    }, "show"),
+    tooltipRemoval: /* @__PURE__ */ __name(function tooltipRemoval(el) {
+      this.remove(el);
+      this.unbindScrollListener(el);
+    }, "tooltipRemoval"),
+    hide: /* @__PURE__ */ __name(function hide(el, hideDelay) {
+      var _this4 = this;
+      clearTimeout(this.timer);
+      if (hideDelay !== void 0) {
+        setTimeout(function() {
+          return _this4.tooltipRemoval(el);
+        }, hideDelay);
+      } else {
+        this.tooltipRemoval(el);
+      }
+    }, "hide"),
+    getTooltipElement: /* @__PURE__ */ __name(function getTooltipElement(el) {
+      return document.getElementById(el.$_ptooltipId);
+    }, "getTooltipElement"),
+    create: /* @__PURE__ */ __name(function create(el) {
+      var modifiers = el.$_ptooltipModifiers;
+      var tooltipArrow = createElement("div", {
+        "class": !this.isUnstyled() && this.cx("arrow"),
+        "p-bind": this.ptm("arrow", {
+          context: modifiers
+        })
+      });
+      var tooltipText = createElement("div", {
+        "class": !this.isUnstyled() && this.cx("text"),
+        "p-bind": this.ptm("text", {
+          context: modifiers
+        })
+      });
+      if (!el.$_ptooltipEscape) {
+        tooltipText.innerHTML = el.$_ptooltipValue;
+      } else {
+        tooltipText.innerHTML = "";
+        tooltipText.appendChild(document.createTextNode(el.$_ptooltipValue));
+      }
+      var container = createElement("div", _defineProperty$g(_defineProperty$g({
+        id: el.$_ptooltipIdAttr,
+        role: "tooltip",
+        style: {
+          display: "inline-block",
+          width: el.$_ptooltipFitContent ? "fit-content" : void 0,
+          pointerEvents: !this.isUnstyled() && el.$_ptooltipAutoHide && "none"
+        },
+        "class": [!this.isUnstyled() && this.cx("root"), el.$_ptooltipClass]
+      }, this.$attrSelector, ""), "p-bind", this.ptm("root", {
+        context: modifiers
+      })), tooltipArrow, tooltipText);
+      document.body.appendChild(container);
+      el.$_ptooltipId = container.id;
+      this.$el = container;
+      return container;
+    }, "create"),
+    remove: /* @__PURE__ */ __name(function remove2(el) {
+      if (el) {
+        var tooltipElement = this.getTooltipElement(el);
+        if (tooltipElement && tooltipElement.parentElement) {
+          ZIndex.clear(tooltipElement);
+          document.body.removeChild(tooltipElement);
+        }
+        el.$_ptooltipId = null;
+      }
+    }, "remove"),
+    align: /* @__PURE__ */ __name(function align(el) {
+      var modifiers = el.$_ptooltipModifiers;
+      if (modifiers.top) {
+        this.alignTop(el);
+        if (this.isOutOfBounds(el)) {
+          this.alignBottom(el);
+          if (this.isOutOfBounds(el)) {
+            this.alignTop(el);
+          }
+        }
+      } else if (modifiers.left) {
+        this.alignLeft(el);
+        if (this.isOutOfBounds(el)) {
+          this.alignRight(el);
+          if (this.isOutOfBounds(el)) {
+            this.alignTop(el);
+            if (this.isOutOfBounds(el)) {
+              this.alignBottom(el);
+              if (this.isOutOfBounds(el)) {
+                this.alignLeft(el);
+              }
+            }
+          }
+        }
+      } else if (modifiers.bottom) {
+        this.alignBottom(el);
+        if (this.isOutOfBounds(el)) {
+          this.alignTop(el);
+          if (this.isOutOfBounds(el)) {
+            this.alignBottom(el);
+          }
+        }
+      } else {
+        this.alignRight(el);
+        if (this.isOutOfBounds(el)) {
+          this.alignLeft(el);
+          if (this.isOutOfBounds(el)) {
+            this.alignTop(el);
+            if (this.isOutOfBounds(el)) {
+              this.alignBottom(el);
+              if (this.isOutOfBounds(el)) {
+                this.alignRight(el);
+              }
+            }
+          }
+        }
+      }
+    }, "align"),
+    getHostOffset: /* @__PURE__ */ __name(function getHostOffset(el) {
+      var offset = el.getBoundingClientRect();
+      var targetLeft = offset.left + getWindowScrollLeft();
+      var targetTop = offset.top + getWindowScrollTop();
+      return {
+        left: targetLeft,
+        top: targetTop
+      };
+    }, "getHostOffset"),
+    alignRight: /* @__PURE__ */ __name(function alignRight(el) {
+      this.preAlign(el, "right");
+      var tooltipElement = this.getTooltipElement(el);
+      var hostOffset = this.getHostOffset(el);
+      var left = hostOffset.left + getOuterWidth(el);
+      var top = hostOffset.top + (getOuterHeight(el) - getOuterHeight(tooltipElement)) / 2;
+      tooltipElement.style.left = left + "px";
+      tooltipElement.style.top = top + "px";
+    }, "alignRight"),
+    alignLeft: /* @__PURE__ */ __name(function alignLeft(el) {
+      this.preAlign(el, "left");
+      var tooltipElement = this.getTooltipElement(el);
+      var hostOffset = this.getHostOffset(el);
+      var left = hostOffset.left - getOuterWidth(tooltipElement);
+      var top = hostOffset.top + (getOuterHeight(el) - getOuterHeight(tooltipElement)) / 2;
+      tooltipElement.style.left = left + "px";
+      tooltipElement.style.top = top + "px";
+    }, "alignLeft"),
+    alignTop: /* @__PURE__ */ __name(function alignTop(el) {
+      this.preAlign(el, "top");
+      var tooltipElement = this.getTooltipElement(el);
+      var hostOffset = this.getHostOffset(el);
+      var left = hostOffset.left + (getOuterWidth(el) - getOuterWidth(tooltipElement)) / 2;
+      var top = hostOffset.top - getOuterHeight(tooltipElement);
+      tooltipElement.style.left = left + "px";
+      tooltipElement.style.top = top + "px";
+    }, "alignTop"),
+    alignBottom: /* @__PURE__ */ __name(function alignBottom(el) {
+      this.preAlign(el, "bottom");
+      var tooltipElement = this.getTooltipElement(el);
+      var hostOffset = this.getHostOffset(el);
+      var left = hostOffset.left + (getOuterWidth(el) - getOuterWidth(tooltipElement)) / 2;
+      var top = hostOffset.top + getOuterHeight(el);
+      tooltipElement.style.left = left + "px";
+      tooltipElement.style.top = top + "px";
+    }, "alignBottom"),
+    preAlign: /* @__PURE__ */ __name(function preAlign(el, position2) {
+      var tooltipElement = this.getTooltipElement(el);
+      tooltipElement.style.left = "-999px";
+      tooltipElement.style.top = "-999px";
+      removeClass(tooltipElement, "p-tooltip-".concat(tooltipElement.$_ptooltipPosition));
+      !this.isUnstyled() && addClass(tooltipElement, "p-tooltip-".concat(position2));
+      tooltipElement.$_ptooltipPosition = position2;
+      tooltipElement.setAttribute("data-p-position", position2);
+      var arrowElement = findSingle(tooltipElement, '[data-pc-section="arrow"]');
+      arrowElement.style.top = position2 === "bottom" ? "0" : position2 === "right" || position2 === "left" || position2 !== "right" && position2 !== "left" && position2 !== "top" && position2 !== "bottom" ? "50%" : null;
+      arrowElement.style.bottom = position2 === "top" ? "0" : null;
+      arrowElement.style.left = position2 === "right" || position2 !== "right" && position2 !== "left" && position2 !== "top" && position2 !== "bottom" ? "0" : position2 === "top" || position2 === "bottom" ? "50%" : null;
+      arrowElement.style.right = position2 === "left" ? "0" : null;
+    }, "preAlign"),
+    isOutOfBounds: /* @__PURE__ */ __name(function isOutOfBounds(el) {
+      var tooltipElement = this.getTooltipElement(el);
+      var offset = tooltipElement.getBoundingClientRect();
+      var targetTop = offset.top;
+      var targetLeft = offset.left;
+      var width2 = getOuterWidth(tooltipElement);
+      var height = getOuterHeight(tooltipElement);
+      var viewport = getViewport();
+      return targetLeft + width2 > viewport.width || targetLeft < 0 || targetTop < 0 || targetTop + height > viewport.height;
+    }, "isOutOfBounds"),
+    getTarget: /* @__PURE__ */ __name(function getTarget2(el) {
+      return hasClass(el, "p-inputwrapper") ? findSingle(el, "input") : el;
+    }, "getTarget"),
+    getModifiers: /* @__PURE__ */ __name(function getModifiers(options3) {
+      if (options3.modifiers && Object.keys(options3.modifiers).length) {
+        return options3.modifiers;
+      }
+      if (options3.arg && _typeof$g(options3.arg) === "object") {
+        return Object.entries(options3.arg).reduce(function(acc, _ref) {
+          var _ref2 = _slicedToArray$2(_ref, 2), key = _ref2[0], val = _ref2[1];
+          if (key === "event" || key === "position") acc[val] = true;
+          return acc;
+        }, {});
+      }
+      return {};
+    }, "getModifiers")
+  }
+});
+var BaseComponentStyle = BaseStyle.extend({
+  name: "common"
+});
+function _typeof$f(o) {
+  "@babel/helpers - typeof";
+  return _typeof$f = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$f(o);
+}
+__name(_typeof$f, "_typeof$f");
+function _toArray(r) {
+  return _arrayWithHoles$1(r) || _iterableToArray$e(r) || _unsupportedIterableToArray$g(r) || _nonIterableRest$1();
+}
+__name(_toArray, "_toArray");
+function _iterableToArray$e(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$e, "_iterableToArray$e");
+function _slicedToArray$1(r, e) {
+  return _arrayWithHoles$1(r) || _iterableToArrayLimit$1(r, e) || _unsupportedIterableToArray$g(r, e) || _nonIterableRest$1();
+}
+__name(_slicedToArray$1, "_slicedToArray$1");
+function _nonIterableRest$1() {
+  throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableRest$1, "_nonIterableRest$1");
+function _unsupportedIterableToArray$g(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$g(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$g(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$g, "_unsupportedIterableToArray$g");
+function _arrayLikeToArray$g(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$g, "_arrayLikeToArray$g");
+function _iterableToArrayLimit$1(r, l) {
+  var t = null == r ? null : "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (null != t) {
+    var e, n, i2, u, a = [], f = true, o = false;
+    try {
+      if (i2 = (t = t.call(r)).next, 0 === l) {
+        if (Object(t) !== t) return;
+        f = false;
+      } else for (; !(f = (e = i2.call(t)).done) && (a.push(e.value), a.length !== l); f = true) ;
+    } catch (r2) {
+      o = true, n = r2;
+    } finally {
+      try {
+        if (!f && null != t["return"] && (u = t["return"](), Object(u) !== u)) return;
+      } finally {
+        if (o) throw n;
+      }
+    }
+    return a;
+  }
+}
+__name(_iterableToArrayLimit$1, "_iterableToArrayLimit$1");
+function _arrayWithHoles$1(r) {
+  if (Array.isArray(r)) return r;
+}
+__name(_arrayWithHoles$1, "_arrayWithHoles$1");
+function ownKeys$e(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$e, "ownKeys$e");
+function _objectSpread$e(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$e(Object(t), true).forEach(function(r2) {
+      _defineProperty$f(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$e(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$e, "_objectSpread$e");
+function _defineProperty$f(e, r, t) {
+  return (r = _toPropertyKey$e(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$f, "_defineProperty$f");
+function _toPropertyKey$e(t) {
+  var i2 = _toPrimitive$e(t, "string");
+  return "symbol" == _typeof$f(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$e, "_toPropertyKey$e");
+function _toPrimitive$e(t, r) {
+  if ("object" != _typeof$f(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$f(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$e, "_toPrimitive$e");
+var script$X = {
+  name: "BaseComponent",
+  props: {
+    pt: {
+      type: Object,
+      "default": void 0
+    },
+    ptOptions: {
+      type: Object,
+      "default": void 0
+    },
+    unstyled: {
+      type: Boolean,
+      "default": void 0
+    },
+    dt: {
+      type: Object,
+      "default": void 0
+    }
+  },
+  inject: {
+    $parentInstance: {
+      "default": void 0
+    }
+  },
+  watch: {
+    isUnstyled: {
+      immediate: true,
+      handler: /* @__PURE__ */ __name(function handler2(newValue) {
+        if (!newValue) {
+          this._loadCoreStyles();
+          this._themeChangeListener(this._loadCoreStyles);
+        }
+      }, "handler")
+    },
+    dt: {
+      immediate: true,
+      handler: /* @__PURE__ */ __name(function handler3(newValue) {
+        var _this = this;
+        if (newValue) {
+          this._loadScopedThemeStyles(newValue);
+          this._themeChangeListener(function() {
+            return _this._loadScopedThemeStyles(newValue);
+          });
+        } else {
+          this._unloadScopedThemeStyles();
+        }
+      }, "handler")
+    }
+  },
+  scopedStyleEl: void 0,
+  rootEl: void 0,
+  beforeCreate: /* @__PURE__ */ __name(function beforeCreate() {
+    var _this$pt, _this$pt2, _this$pt3, _ref, _ref$onBeforeCreate, _this$$primevueConfig, _this$$primevue, _this$$primevue2, _this$$primevue3, _ref2, _ref2$onBeforeCreate;
+    var _usept = (_this$pt = this.pt) === null || _this$pt === void 0 ? void 0 : _this$pt["_usept"];
+    var originalValue = _usept ? (_this$pt2 = this.pt) === null || _this$pt2 === void 0 || (_this$pt2 = _this$pt2.originalValue) === null || _this$pt2 === void 0 ? void 0 : _this$pt2[this.$.type.name] : void 0;
+    var value3 = _usept ? (_this$pt3 = this.pt) === null || _this$pt3 === void 0 || (_this$pt3 = _this$pt3.value) === null || _this$pt3 === void 0 ? void 0 : _this$pt3[this.$.type.name] : this.pt;
+    (_ref = value3 || originalValue) === null || _ref === void 0 || (_ref = _ref.hooks) === null || _ref === void 0 || (_ref$onBeforeCreate = _ref["onBeforeCreate"]) === null || _ref$onBeforeCreate === void 0 || _ref$onBeforeCreate.call(_ref);
+    var _useptInConfig = (_this$$primevueConfig = this.$primevueConfig) === null || _this$$primevueConfig === void 0 || (_this$$primevueConfig = _this$$primevueConfig.pt) === null || _this$$primevueConfig === void 0 ? void 0 : _this$$primevueConfig["_usept"];
+    var originalValueInConfig = _useptInConfig ? (_this$$primevue = this.$primevue) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.config) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.pt) === null || _this$$primevue === void 0 ? void 0 : _this$$primevue.originalValue : void 0;
+    var valueInConfig = _useptInConfig ? (_this$$primevue2 = this.$primevue) === null || _this$$primevue2 === void 0 || (_this$$primevue2 = _this$$primevue2.config) === null || _this$$primevue2 === void 0 || (_this$$primevue2 = _this$$primevue2.pt) === null || _this$$primevue2 === void 0 ? void 0 : _this$$primevue2.value : (_this$$primevue3 = this.$primevue) === null || _this$$primevue3 === void 0 || (_this$$primevue3 = _this$$primevue3.config) === null || _this$$primevue3 === void 0 ? void 0 : _this$$primevue3.pt;
+    (_ref2 = valueInConfig || originalValueInConfig) === null || _ref2 === void 0 || (_ref2 = _ref2[this.$.type.name]) === null || _ref2 === void 0 || (_ref2 = _ref2.hooks) === null || _ref2 === void 0 || (_ref2$onBeforeCreate = _ref2["onBeforeCreate"]) === null || _ref2$onBeforeCreate === void 0 || _ref2$onBeforeCreate.call(_ref2);
+  }, "beforeCreate"),
+  created: /* @__PURE__ */ __name(function created() {
+    this._hook("onCreated");
+  }, "created"),
+  beforeMount: /* @__PURE__ */ __name(function beforeMount2() {
+    this._loadStyles();
+    this._hook("onBeforeMount");
+  }, "beforeMount"),
+  mounted: /* @__PURE__ */ __name(function mounted() {
+    this.rootEl = findSingle(this.$el, '[data-pc-name="'.concat(toFlatCase(this.$.type.name), '"]'));
+    if (this.rootEl) {
+      this.rootEl.setAttribute(this.$attrSelector, "");
+      this.rootEl.$pc = _objectSpread$e({
+        name: this.$.type.name
+      }, this.$params);
+    }
+    this._hook("onMounted");
+  }, "mounted"),
+  beforeUpdate: /* @__PURE__ */ __name(function beforeUpdate() {
+    this._hook("onBeforeUpdate");
+  }, "beforeUpdate"),
+  updated: /* @__PURE__ */ __name(function updated2() {
+    this._hook("onUpdated");
+  }, "updated"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount() {
+    this._hook("onBeforeUnmount");
+  }, "beforeUnmount"),
+  unmounted: /* @__PURE__ */ __name(function unmounted2() {
+    this._unloadScopedThemeStyles();
+    this._hook("onUnmounted");
+  }, "unmounted"),
+  methods: {
+    _hook: /* @__PURE__ */ __name(function _hook2(hookName) {
+      if (!this.$options.hostName) {
+        var selfHook = this._usePT(this._getPT(this.pt, this.$.type.name), this._getOptionValue, "hooks.".concat(hookName));
+        var defaultHook = this._useDefaultPT(this._getOptionValue, "hooks.".concat(hookName));
+        selfHook === null || selfHook === void 0 || selfHook();
+        defaultHook === null || defaultHook === void 0 || defaultHook();
+      }
+    }, "_hook"),
+    _mergeProps: /* @__PURE__ */ __name(function _mergeProps2(fn) {
+      for (var _len = arguments.length, args = new Array(_len > 1 ? _len - 1 : 0), _key2 = 1; _key2 < _len; _key2++) {
+        args[_key2 - 1] = arguments[_key2];
+      }
+      return isFunction(fn) ? fn.apply(void 0, args) : mergeProps.apply(void 0, args);
+    }, "_mergeProps"),
+    _loadStyles: /* @__PURE__ */ __name(function _loadStyles2() {
+      var _this2 = this;
+      var _load = /* @__PURE__ */ __name(function _load2() {
+        if (!Base.isStyleNameLoaded("base")) {
+          BaseStyle.loadCSS(_this2.$styleOptions);
+          _this2._loadGlobalStyles();
+          Base.setLoadedStyleName("base");
+        }
+        _this2._loadThemeStyles();
+      }, "_load");
+      _load();
+      this._themeChangeListener(_load);
+    }, "_loadStyles"),
+    _loadCoreStyles: /* @__PURE__ */ __name(function _loadCoreStyles2() {
+      var _this$$style, _this$$style2;
+      if (!Base.isStyleNameLoaded((_this$$style = this.$style) === null || _this$$style === void 0 ? void 0 : _this$$style.name) && (_this$$style2 = this.$style) !== null && _this$$style2 !== void 0 && _this$$style2.name) {
+        BaseComponentStyle.loadCSS(this.$styleOptions);
+        this.$options.style && this.$style.loadCSS(this.$styleOptions);
+        Base.setLoadedStyleName(this.$style.name);
+      }
+    }, "_loadCoreStyles"),
+    _loadGlobalStyles: /* @__PURE__ */ __name(function _loadGlobalStyles() {
+      var globalCSS = this._useGlobalPT(this._getOptionValue, "global.css", this.$params);
+      isNotEmpty(globalCSS) && BaseStyle.load(globalCSS, _objectSpread$e({
+        name: "global"
+      }, this.$styleOptions));
+    }, "_loadGlobalStyles"),
+    _loadThemeStyles: /* @__PURE__ */ __name(function _loadThemeStyles2() {
+      var _this$$style4, _this$$style5;
+      if (this.isUnstyled) return;
+      if (!config_default.isStyleNameLoaded("common")) {
+        var _this$$style3, _this$$style3$getComm;
+        var _ref3 = ((_this$$style3 = this.$style) === null || _this$$style3 === void 0 || (_this$$style3$getComm = _this$$style3.getCommonTheme) === null || _this$$style3$getComm === void 0 ? void 0 : _this$$style3$getComm.call(_this$$style3)) || {}, primitive = _ref3.primitive, semantic = _ref3.semantic;
+        BaseStyle.load(primitive === null || primitive === void 0 ? void 0 : primitive.css, _objectSpread$e({
+          name: "primitive-variables"
+        }, this.$styleOptions));
+        BaseStyle.load(semantic === null || semantic === void 0 ? void 0 : semantic.css, _objectSpread$e({
+          name: "semantic-variables"
+        }, this.$styleOptions));
+        BaseStyle.loadTheme(_objectSpread$e({
+          name: "global-style"
+        }, this.$styleOptions));
+        config_default.setLoadedStyleName("common");
+      }
+      if (!config_default.isStyleNameLoaded((_this$$style4 = this.$style) === null || _this$$style4 === void 0 ? void 0 : _this$$style4.name) && (_this$$style5 = this.$style) !== null && _this$$style5 !== void 0 && _this$$style5.name) {
+        var _this$$style6, _this$$style6$getComp, _this$$style7, _this$$style8;
+        var _ref4 = ((_this$$style6 = this.$style) === null || _this$$style6 === void 0 || (_this$$style6$getComp = _this$$style6.getComponentTheme) === null || _this$$style6$getComp === void 0 ? void 0 : _this$$style6$getComp.call(_this$$style6)) || {}, css4 = _ref4.css;
+        (_this$$style7 = this.$style) === null || _this$$style7 === void 0 || _this$$style7.load(css4, _objectSpread$e({
+          name: "".concat(this.$style.name, "-variables")
+        }, this.$styleOptions));
+        (_this$$style8 = this.$style) === null || _this$$style8 === void 0 || _this$$style8.loadTheme(_objectSpread$e({
+          name: "".concat(this.$style.name, "-style")
+        }, this.$styleOptions));
+        config_default.setLoadedStyleName(this.$style.name);
+      }
+      if (!config_default.isStyleNameLoaded("layer-order")) {
+        var _this$$style9, _this$$style9$getLaye;
+        var layerOrder = (_this$$style9 = this.$style) === null || _this$$style9 === void 0 || (_this$$style9$getLaye = _this$$style9.getLayerOrderThemeCSS) === null || _this$$style9$getLaye === void 0 ? void 0 : _this$$style9$getLaye.call(_this$$style9);
+        BaseStyle.load(layerOrder, _objectSpread$e({
+          name: "layer-order",
+          first: true
+        }, this.$styleOptions));
+        config_default.setLoadedStyleName("layer-order");
+      }
+    }, "_loadThemeStyles"),
+    _loadScopedThemeStyles: /* @__PURE__ */ __name(function _loadScopedThemeStyles2(preset) {
+      var _this$$style10, _this$$style10$getPre, _this$$style11;
+      var _ref5 = ((_this$$style10 = this.$style) === null || _this$$style10 === void 0 || (_this$$style10$getPre = _this$$style10.getPresetTheme) === null || _this$$style10$getPre === void 0 ? void 0 : _this$$style10$getPre.call(_this$$style10, preset, "[".concat(this.$attrSelector, "]"))) || {}, css4 = _ref5.css;
+      var scopedStyle = (_this$$style11 = this.$style) === null || _this$$style11 === void 0 ? void 0 : _this$$style11.load(css4, _objectSpread$e({
+        name: "".concat(this.$attrSelector, "-").concat(this.$style.name)
+      }, this.$styleOptions));
+      this.scopedStyleEl = scopedStyle.el;
+    }, "_loadScopedThemeStyles"),
+    _unloadScopedThemeStyles: /* @__PURE__ */ __name(function _unloadScopedThemeStyles() {
+      var _this$scopedStyleEl;
+      (_this$scopedStyleEl = this.scopedStyleEl) === null || _this$scopedStyleEl === void 0 || (_this$scopedStyleEl = _this$scopedStyleEl.value) === null || _this$scopedStyleEl === void 0 || _this$scopedStyleEl.remove();
+    }, "_unloadScopedThemeStyles"),
+    _themeChangeListener: /* @__PURE__ */ __name(function _themeChangeListener2() {
+      var callback = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : function() {
+      };
+      Base.clearLoadedStyleNames();
+      service_default.on("theme:change", callback);
+    }, "_themeChangeListener"),
+    _getHostInstance: /* @__PURE__ */ __name(function _getHostInstance(instance) {
+      return instance ? this.$options.hostName ? instance.$.type.name === this.$options.hostName ? instance : this._getHostInstance(instance.$parentInstance) : instance.$parentInstance : void 0;
+    }, "_getHostInstance"),
+    _getPropValue: /* @__PURE__ */ __name(function _getPropValue(name) {
+      var _this$_getHostInstanc;
+      return this[name] || ((_this$_getHostInstanc = this._getHostInstance(this)) === null || _this$_getHostInstanc === void 0 ? void 0 : _this$_getHostInstanc[name]);
+    }, "_getPropValue"),
+    _getOptionValue: /* @__PURE__ */ __name(function _getOptionValue(options3) {
+      var key = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+      var params = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {};
+      return getKeyValue(options3, key, params);
+    }, "_getOptionValue"),
+    _getPTValue: /* @__PURE__ */ __name(function _getPTValue2() {
+      var _this$$primevueConfig2;
+      var obj = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+      var key = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+      var params = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {};
+      var searchInDefaultPT = arguments.length > 3 && arguments[3] !== void 0 ? arguments[3] : true;
+      var searchOut = /./g.test(key) && !!params[key.split(".")[0]];
+      var _ref6 = this._getPropValue("ptOptions") || ((_this$$primevueConfig2 = this.$primevueConfig) === null || _this$$primevueConfig2 === void 0 ? void 0 : _this$$primevueConfig2.ptOptions) || {}, _ref6$mergeSections = _ref6.mergeSections, mergeSections = _ref6$mergeSections === void 0 ? true : _ref6$mergeSections, _ref6$mergeProps = _ref6.mergeProps, useMergeProps = _ref6$mergeProps === void 0 ? false : _ref6$mergeProps;
+      var global2 = searchInDefaultPT ? searchOut ? this._useGlobalPT(this._getPTClassValue, key, params) : this._useDefaultPT(this._getPTClassValue, key, params) : void 0;
+      var self2 = searchOut ? void 0 : this._getPTSelf(obj, this._getPTClassValue, key, _objectSpread$e(_objectSpread$e({}, params), {}, {
+        global: global2 || {}
+      }));
+      var datasets = this._getPTDatasets(key);
+      return mergeSections || !mergeSections && self2 ? useMergeProps ? this._mergeProps(useMergeProps, global2, self2, datasets) : _objectSpread$e(_objectSpread$e(_objectSpread$e({}, global2), self2), datasets) : _objectSpread$e(_objectSpread$e({}, self2), datasets);
+    }, "_getPTValue"),
+    _getPTSelf: /* @__PURE__ */ __name(function _getPTSelf() {
+      var obj = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+      for (var _len2 = arguments.length, args = new Array(_len2 > 1 ? _len2 - 1 : 0), _key3 = 1; _key3 < _len2; _key3++) {
+        args[_key3 - 1] = arguments[_key3];
+      }
+      return mergeProps(
+        this._usePT.apply(this, [this._getPT(obj, this.$name)].concat(args)),
+        // Exp; <component :pt="{}"
+        this._usePT.apply(this, [this.$_attrsPT].concat(args))
+        // Exp; <component :pt:[passthrough_key]:[attribute]="{value}" or <component :pt:[passthrough_key]="() =>{value}"
+      );
+    }, "_getPTSelf"),
+    _getPTDatasets: /* @__PURE__ */ __name(function _getPTDatasets2() {
+      var _this$pt4, _this$pt5;
+      var key = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+      var datasetPrefix = "data-pc-";
+      var isExtended = key === "root" && isNotEmpty((_this$pt4 = this.pt) === null || _this$pt4 === void 0 ? void 0 : _this$pt4["data-pc-section"]);
+      return key !== "transition" && _objectSpread$e(_objectSpread$e({}, key === "root" && _objectSpread$e(_defineProperty$f({}, "".concat(datasetPrefix, "name"), toFlatCase(isExtended ? (_this$pt5 = this.pt) === null || _this$pt5 === void 0 ? void 0 : _this$pt5["data-pc-section"] : this.$.type.name)), isExtended && _defineProperty$f({}, "".concat(datasetPrefix, "extend"), toFlatCase(this.$.type.name)))), {}, _defineProperty$f({}, "".concat(datasetPrefix, "section"), toFlatCase(key)));
+    }, "_getPTDatasets"),
+    _getPTClassValue: /* @__PURE__ */ __name(function _getPTClassValue() {
+      var value3 = this._getOptionValue.apply(this, arguments);
+      return isString$4(value3) || isArray$3(value3) ? {
+        "class": value3
+      } : value3;
+    }, "_getPTClassValue"),
+    _getPT: /* @__PURE__ */ __name(function _getPT2(pt) {
+      var _this3 = this;
+      var key = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+      var callback = arguments.length > 2 ? arguments[2] : void 0;
+      var getValue2 = /* @__PURE__ */ __name(function getValue3(value3) {
+        var _ref8;
+        var checkSameKey = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+        var computedValue = callback ? callback(value3) : value3;
+        var _key = toFlatCase(key);
+        var _cKey = toFlatCase(_this3.$name);
+        return (_ref8 = checkSameKey ? _key !== _cKey ? computedValue === null || computedValue === void 0 ? void 0 : computedValue[_key] : void 0 : computedValue === null || computedValue === void 0 ? void 0 : computedValue[_key]) !== null && _ref8 !== void 0 ? _ref8 : computedValue;
+      }, "getValue");
+      return pt !== null && pt !== void 0 && pt.hasOwnProperty("_usept") ? {
+        _usept: pt["_usept"],
+        originalValue: getValue2(pt.originalValue),
+        value: getValue2(pt.value)
+      } : getValue2(pt, true);
+    }, "_getPT"),
+    _usePT: /* @__PURE__ */ __name(function _usePT2(pt, callback, key, params) {
+      var fn = /* @__PURE__ */ __name(function fn2(value4) {
+        return callback(value4, key, params);
+      }, "fn");
+      if (pt !== null && pt !== void 0 && pt.hasOwnProperty("_usept")) {
+        var _this$$primevueConfig3;
+        var _ref9 = pt["_usept"] || ((_this$$primevueConfig3 = this.$primevueConfig) === null || _this$$primevueConfig3 === void 0 ? void 0 : _this$$primevueConfig3.ptOptions) || {}, _ref9$mergeSections = _ref9.mergeSections, mergeSections = _ref9$mergeSections === void 0 ? true : _ref9$mergeSections, _ref9$mergeProps = _ref9.mergeProps, useMergeProps = _ref9$mergeProps === void 0 ? false : _ref9$mergeProps;
+        var originalValue = fn(pt.originalValue);
+        var value3 = fn(pt.value);
+        if (originalValue === void 0 && value3 === void 0) return void 0;
+        else if (isString$4(value3)) return value3;
+        else if (isString$4(originalValue)) return originalValue;
+        return mergeSections || !mergeSections && value3 ? useMergeProps ? this._mergeProps(useMergeProps, originalValue, value3) : _objectSpread$e(_objectSpread$e({}, originalValue), value3) : value3;
+      }
+      return fn(pt);
+    }, "_usePT"),
+    _useGlobalPT: /* @__PURE__ */ __name(function _useGlobalPT(callback, key, params) {
+      return this._usePT(this.globalPT, callback, key, params);
+    }, "_useGlobalPT"),
+    _useDefaultPT: /* @__PURE__ */ __name(function _useDefaultPT2(callback, key, params) {
+      return this._usePT(this.defaultPT, callback, key, params);
+    }, "_useDefaultPT"),
+    ptm: /* @__PURE__ */ __name(function ptm() {
+      var key = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+      var params = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+      return this._getPTValue(this.pt, key, _objectSpread$e(_objectSpread$e({}, this.$params), params));
+    }, "ptm"),
+    ptmi: /* @__PURE__ */ __name(function ptmi() {
+      var key = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+      var params = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+      return mergeProps(this.$_attrsWithoutPT, this.ptm(key, params));
+    }, "ptmi"),
+    ptmo: /* @__PURE__ */ __name(function ptmo() {
+      var obj = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : {};
+      var key = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "";
+      var params = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {};
+      return this._getPTValue(obj, key, _objectSpread$e({
+        instance: this
+      }, params), false);
+    }, "ptmo"),
+    cx: /* @__PURE__ */ __name(function cx() {
+      var key = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+      var params = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : {};
+      return !this.isUnstyled ? this._getOptionValue(this.$style.classes, key, _objectSpread$e(_objectSpread$e({}, this.$params), params)) : void 0;
+    }, "cx"),
+    sx: /* @__PURE__ */ __name(function sx() {
+      var key = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : "";
+      var when = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : true;
+      var params = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {};
+      if (when) {
+        var self2 = this._getOptionValue(this.$style.inlineStyles, key, _objectSpread$e(_objectSpread$e({}, this.$params), params));
+        var base = this._getOptionValue(BaseComponentStyle.inlineStyles, key, _objectSpread$e(_objectSpread$e({}, this.$params), params));
+        return [base, self2];
+      }
+      return void 0;
+    }, "sx")
+  },
+  computed: {
+    globalPT: /* @__PURE__ */ __name(function globalPT() {
+      var _this$$primevueConfig4, _this4 = this;
+      return this._getPT((_this$$primevueConfig4 = this.$primevueConfig) === null || _this$$primevueConfig4 === void 0 ? void 0 : _this$$primevueConfig4.pt, void 0, function(value3) {
+        return resolve(value3, {
+          instance: _this4
+        });
+      });
+    }, "globalPT"),
+    defaultPT: /* @__PURE__ */ __name(function defaultPT() {
+      var _this$$primevueConfig5, _this5 = this;
+      return this._getPT((_this$$primevueConfig5 = this.$primevueConfig) === null || _this$$primevueConfig5 === void 0 ? void 0 : _this$$primevueConfig5.pt, void 0, function(value3) {
+        return _this5._getOptionValue(value3, _this5.$name, _objectSpread$e({}, _this5.$params)) || resolve(value3, _objectSpread$e({}, _this5.$params));
+      });
+    }, "defaultPT"),
+    isUnstyled: /* @__PURE__ */ __name(function isUnstyled() {
+      var _this$$primevueConfig6;
+      return this.unstyled !== void 0 ? this.unstyled : (_this$$primevueConfig6 = this.$primevueConfig) === null || _this$$primevueConfig6 === void 0 ? void 0 : _this$$primevueConfig6.unstyled;
+    }, "isUnstyled"),
+    $theme: /* @__PURE__ */ __name(function $theme() {
+      var _this$$primevueConfig7;
+      return (_this$$primevueConfig7 = this.$primevueConfig) === null || _this$$primevueConfig7 === void 0 ? void 0 : _this$$primevueConfig7.theme;
+    }, "$theme"),
+    $style: /* @__PURE__ */ __name(function $style() {
+      return _objectSpread$e(_objectSpread$e({
+        classes: void 0,
+        inlineStyles: void 0,
+        load: /* @__PURE__ */ __name(function load2() {
+        }, "load"),
+        loadCSS: /* @__PURE__ */ __name(function loadCSS2() {
+        }, "loadCSS"),
+        loadTheme: /* @__PURE__ */ __name(function loadTheme2() {
+        }, "loadTheme")
+      }, (this._getHostInstance(this) || {}).$style), this.$options.style);
+    }, "$style"),
+    $styleOptions: /* @__PURE__ */ __name(function $styleOptions() {
+      var _this$$primevueConfig8;
+      return {
+        nonce: (_this$$primevueConfig8 = this.$primevueConfig) === null || _this$$primevueConfig8 === void 0 || (_this$$primevueConfig8 = _this$$primevueConfig8.csp) === null || _this$$primevueConfig8 === void 0 ? void 0 : _this$$primevueConfig8.nonce
+      };
+    }, "$styleOptions"),
+    $primevueConfig: /* @__PURE__ */ __name(function $primevueConfig() {
+      var _this$$primevue4;
+      return (_this$$primevue4 = this.$primevue) === null || _this$$primevue4 === void 0 ? void 0 : _this$$primevue4.config;
+    }, "$primevueConfig"),
+    $name: /* @__PURE__ */ __name(function $name() {
+      return this.$options.hostName || this.$.type.name;
+    }, "$name"),
+    $params: /* @__PURE__ */ __name(function $params() {
+      var parentInstance = this._getHostInstance(this) || this.$parent;
+      return {
+        instance: this,
+        props: this.$props,
+        state: this.$data,
+        attrs: this.$attrs,
+        parent: {
+          instance: parentInstance,
+          props: parentInstance === null || parentInstance === void 0 ? void 0 : parentInstance.$props,
+          state: parentInstance === null || parentInstance === void 0 ? void 0 : parentInstance.$data,
+          attrs: parentInstance === null || parentInstance === void 0 ? void 0 : parentInstance.$attrs
+        }
+      };
+    }, "$params"),
+    $_attrsPT: /* @__PURE__ */ __name(function $_attrsPT() {
+      return Object.entries(this.$attrs || {}).filter(function(_ref10) {
+        var _ref11 = _slicedToArray$1(_ref10, 1), key = _ref11[0];
+        return key === null || key === void 0 ? void 0 : key.startsWith("pt:");
+      }).reduce(function(result, _ref12) {
+        var _ref13 = _slicedToArray$1(_ref12, 2), key = _ref13[0], value3 = _ref13[1];
+        var _key$split = key.split(":"), _key$split2 = _toArray(_key$split), rest = _key$split2.slice(1);
+        rest === null || rest === void 0 || rest.reduce(function(currentObj, nestedKey, index2, array) {
+          !currentObj[nestedKey] && (currentObj[nestedKey] = index2 === array.length - 1 ? value3 : {});
+          return currentObj[nestedKey];
+        }, result);
+        return result;
+      }, {});
+    }, "$_attrsPT"),
+    $_attrsWithoutPT: /* @__PURE__ */ __name(function $_attrsWithoutPT() {
+      return Object.entries(this.$attrs || {}).filter(function(_ref14) {
+        var _ref15 = _slicedToArray$1(_ref14, 1), key = _ref15[0];
+        return !(key !== null && key !== void 0 && key.startsWith("pt:"));
+      }).reduce(function(acc, _ref16) {
+        var _ref17 = _slicedToArray$1(_ref16, 2), key = _ref17[0], value3 = _ref17[1];
+        acc[key] = value3;
+        return acc;
+      }, {});
+    }, "$_attrsWithoutPT"),
+    $attrSelector: /* @__PURE__ */ __name(function $attrSelector() {
+      return UniqueComponentId("pc");
+    }, "$attrSelector")
+  }
+};
+var theme$x = /* @__PURE__ */ __name(function theme4(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-blockui {\n    position: relative;\n}\n\n.p-blockui-mask {\n    border-radius: ".concat(dt3("blockui.border.radius"), ";\n}\n\n.p-blockui-mask.p-overlay-mask {\n    position: absolute;\n}\n\n.p-blockui-mask-document.p-overlay-mask {\n    position: fixed;\n}\n");
+}, "theme");
+var classes$A = {
+  root: "p-blockui"
+};
+var BlockUIStyle = BaseStyle.extend({
+  name: "blockui",
+  theme: theme$x,
+  classes: classes$A
+});
+var script$1$A = {
+  name: "BaseBlockUI",
+  "extends": script$X,
+  props: {
+    blocked: {
+      type: Boolean,
+      "default": false
+    },
+    fullScreen: {
+      type: Boolean,
+      "default": false
+    },
+    baseZIndex: {
+      type: Number,
+      "default": 0
+    },
+    autoZIndex: {
+      type: Boolean,
+      "default": true
+    }
+  },
+  style: BlockUIStyle,
+  provide: /* @__PURE__ */ __name(function provide2() {
+    return {
+      $pcBlockUI: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$W = {
+  name: "BlockUI",
+  "extends": script$1$A,
+  inheritAttrs: false,
+  emits: ["block", "unblock"],
+  mask: null,
+  data: /* @__PURE__ */ __name(function data() {
+    return {
+      isBlocked: false
+    };
+  }, "data"),
+  watch: {
+    blocked: /* @__PURE__ */ __name(function blocked(newValue) {
+      if (newValue === true) this.block();
+      else this.unblock();
+    }, "blocked")
+  },
+  mounted: /* @__PURE__ */ __name(function mounted2() {
+    if (this.blocked) {
+      this.block();
+    }
+  }, "mounted"),
+  methods: {
+    block: /* @__PURE__ */ __name(function block() {
+      var styleClass = "p-blockui-mask p-overlay-mask p-overlay-mask-enter";
+      if (this.fullScreen) {
+        styleClass += " p-blockui-mask-document";
+        this.mask = createElement("div", {
+          style: {
+            position: "fixed",
+            top: "0",
+            left: "0",
+            width: "100%",
+            height: "100%"
+          },
+          "class": !this.isUnstyled && styleClass,
+          "p-bind": this.ptm("mask")
+        });
+        document.body.appendChild(this.mask);
+        blockBodyScroll();
+        document.activeElement.blur();
+      } else {
+        this.mask = createElement("div", {
+          style: {
+            position: "absolute",
+            top: "0",
+            left: "0",
+            width: "100%",
+            height: "100%"
+          },
+          "class": !this.isUnstyled && styleClass,
+          "p-bind": this.ptm("mask")
+        });
+        this.$refs.container.appendChild(this.mask);
+      }
+      if (this.autoZIndex) {
+        ZIndex.set("modal", this.mask, this.baseZIndex + this.$primevue.config.zIndex.modal);
+      }
+      this.isBlocked = true;
+      this.$emit("block");
+    }, "block"),
+    unblock: /* @__PURE__ */ __name(function unblock() {
+      var _this = this;
+      !this.isUnstyled && addClass(this.mask, "p-overlay-mask-leave");
+      if (hasCSSAnimation(this.mask) > 0) {
+        this.mask.addEventListener("animationend", function() {
+          _this.removeMask();
+        });
+      } else {
+        this.removeMask();
+      }
+    }, "unblock"),
+    removeMask: /* @__PURE__ */ __name(function removeMask() {
+      ZIndex.clear(this.mask);
+      if (this.fullScreen) {
+        document.body.removeChild(this.mask);
+        unblockBodyScroll();
+      } else {
+        var _this$$refs$container;
+        (_this$$refs$container = this.$refs.container) === null || _this$$refs$container === void 0 || _this$$refs$container.removeChild(this.mask);
+      }
+      this.isBlocked = false;
+      this.$emit("unblock");
+    }, "removeMask")
+  }
+};
+var _hoisted_1$13 = ["aria-busy"];
+function render$U(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("div", mergeProps({
+    ref: "container",
+    "class": _ctx.cx("root"),
+    "aria-busy": $data.isBlocked
+  }, _ctx.ptmi("root")), [renderSlot(_ctx.$slots, "default")], 16, _hoisted_1$13);
+}
+__name(render$U, "render$U");
+script$W.render = render$U;
+var theme$w = /* @__PURE__ */ __name(function theme5(_ref) {
+  var dt3 = _ref.dt;
+  return '\n.p-progressspinner {\n    position: relative;\n    margin: 0 auto;\n    width: 100px;\n    height: 100px;\n    display: inline-block;\n}\n\n.p-progressspinner::before {\n    content: "";\n    display: block;\n    padding-top: 100%;\n}\n\n.p-progressspinner-spin {\n    height: 100%;\n    transform-origin: center center;\n    width: 100%;\n    position: absolute;\n    top: 0;\n    bottom: 0;\n    left: 0;\n    right: 0;\n    margin: auto;\n    animation: p-progressspinner-rotate 2s linear infinite;\n}\n\n.p-progressspinner-circle {\n    stroke-dasharray: 89, 200;\n    stroke-dashoffset: 0;\n    stroke: '.concat(dt3("progressspinner.color.1"), ";\n    animation: p-progressspinner-dash 1.5s ease-in-out infinite, p-progressspinner-color 6s ease-in-out infinite;\n    stroke-linecap: round;\n}\n\n@keyframes p-progressspinner-rotate {\n    100% {\n        transform: rotate(360deg);\n    }\n}\n@keyframes p-progressspinner-dash {\n    0% {\n        stroke-dasharray: 1, 200;\n        stroke-dashoffset: 0;\n    }\n    50% {\n        stroke-dasharray: 89, 200;\n        stroke-dashoffset: -35px;\n    }\n    100% {\n        stroke-dasharray: 89, 200;\n        stroke-dashoffset: -124px;\n    }\n}\n@keyframes p-progressspinner-color {\n    100%,\n    0% {\n        stroke: ").concat(dt3("progressspinner.color.1"), ";\n    }\n    40% {\n        stroke: ").concat(dt3("progressspinner.color.2"), ";\n    }\n    66% {\n        stroke: ").concat(dt3("progressspinner.color.3"), ";\n    }\n    80%,\n    90% {\n        stroke: ").concat(dt3("progressspinner.color.4"), ";\n    }\n}\n");
+}, "theme");
+var classes$z = {
+  root: "p-progressspinner",
+  spin: "p-progressspinner-spin",
+  circle: "p-progressspinner-circle"
+};
+var ProgressSpinnerStyle = BaseStyle.extend({
+  name: "progressspinner",
+  theme: theme$w,
+  classes: classes$z
+});
+var script$1$z = {
+  name: "BaseProgressSpinner",
+  "extends": script$X,
+  props: {
+    strokeWidth: {
+      type: String,
+      "default": "2"
+    },
+    fill: {
+      type: String,
+      "default": "none"
+    },
+    animationDuration: {
+      type: String,
+      "default": "2s"
+    }
+  },
+  style: ProgressSpinnerStyle,
+  provide: /* @__PURE__ */ __name(function provide3() {
+    return {
+      $pcProgressSpinner: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$V = {
+  name: "ProgressSpinner",
+  "extends": script$1$z,
+  inheritAttrs: false,
+  computed: {
+    svgStyle: /* @__PURE__ */ __name(function svgStyle() {
+      return {
+        "animation-duration": this.animationDuration
+      };
+    }, "svgStyle")
+  }
+};
+var _hoisted_1$12 = ["fill", "stroke-width"];
+function render$T(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root"),
+    role: "progressbar"
+  }, _ctx.ptmi("root")), [(openBlock(), createElementBlock("svg", mergeProps({
+    "class": _ctx.cx("spin"),
+    viewBox: "25 25 50 50",
+    style: $options.svgStyle
+  }, _ctx.ptm("spin")), [createBaseVNode("circle", mergeProps({
+    "class": _ctx.cx("circle"),
+    cx: "50",
+    cy: "50",
+    r: "20",
+    fill: _ctx.fill,
+    "stroke-width": _ctx.strokeWidth,
+    strokeMiterlimit: "10"
+  }, _ctx.ptm("circle")), null, 16, _hoisted_1$12)], 16))], 16);
+}
+__name(render$T, "render$T");
+script$V.render = render$T;
+const scriptRel = "modulepreload";
+const assetsURL = /* @__PURE__ */ __name(function(dep, importerUrl) {
+  return new URL(dep, importerUrl).href;
+}, "assetsURL");
+const seen = {};
+const __vitePreload = /* @__PURE__ */ __name(function preload(baseModule, deps, importerUrl) {
+  let promise = Promise.resolve();
+  if (deps && deps.length > 0) {
+    const links = document.getElementsByTagName("link");
+    const cspNonceMeta = document.querySelector(
+      "meta[property=csp-nonce]"
+    );
+    const cspNonce = cspNonceMeta?.nonce || cspNonceMeta?.getAttribute("nonce");
+    promise = Promise.all(
+      deps.map((dep) => {
+        dep = assetsURL(dep, importerUrl);
+        if (dep in seen) return;
+        seen[dep] = true;
+        const isCss = dep.endsWith(".css");
+        const cssSelector = isCss ? '[rel="stylesheet"]' : "";
+        const isBaseRelative = !!importerUrl;
+        if (isBaseRelative) {
+          for (let i2 = links.length - 1; i2 >= 0; i2--) {
+            const link2 = links[i2];
+            if (link2.href === dep && (!isCss || link2.rel === "stylesheet")) {
+              return;
+            }
+          }
+        } else if (document.querySelector(`link[href="${dep}"]${cssSelector}`)) {
+          return;
+        }
+        const link = document.createElement("link");
+        link.rel = isCss ? "stylesheet" : scriptRel;
+        if (!isCss) {
+          link.as = "script";
+          link.crossOrigin = "";
+        }
+        link.href = dep;
+        if (cspNonce) {
+          link.setAttribute("nonce", cspNonce);
+        }
+        document.head.appendChild(link);
+        if (isCss) {
+          return new Promise((res, rej) => {
+            link.addEventListener("load", res);
+            link.addEventListener(
+              "error",
+              () => rej(new Error(`Unable to preload CSS for ${dep}`))
+            );
+          });
+        }
+      })
+    );
+  }
+  return promise.then(() => baseModule()).catch((err) => {
+    const e = new Event("vite:preloadError", { cancelable: true });
+    e.payload = err;
+    window.dispatchEvent(e);
+    if (!e.defaultPrevented) {
+      throw err;
+    }
+  });
+}, "preload");
+var util;
+(function(util2) {
+  util2.assertEqual = (val) => val;
+  function assertIs(_arg) {
+  }
+  __name(assertIs, "assertIs");
+  util2.assertIs = assertIs;
+  function assertNever(_x) {
+    throw new Error();
+  }
+  __name(assertNever, "assertNever");
+  util2.assertNever = assertNever;
+  util2.arrayToEnum = (items2) => {
+    const obj = {};
+    for (const item2 of items2) {
+      obj[item2] = item2;
+    }
+    return obj;
+  };
+  util2.getValidEnumValues = (obj) => {
+    const validKeys = util2.objectKeys(obj).filter((k) => typeof obj[obj[k]] !== "number");
+    const filtered = {};
+    for (const k of validKeys) {
+      filtered[k] = obj[k];
+    }
+    return util2.objectValues(filtered);
+  };
+  util2.objectValues = (obj) => {
+    return util2.objectKeys(obj).map(function(e) {
+      return obj[e];
+    });
+  };
+  util2.objectKeys = typeof Object.keys === "function" ? (obj) => Object.keys(obj) : (object) => {
+    const keys2 = [];
+    for (const key in object) {
+      if (Object.prototype.hasOwnProperty.call(object, key)) {
+        keys2.push(key);
+      }
+    }
+    return keys2;
+  };
+  util2.find = (arr, checker) => {
+    for (const item2 of arr) {
+      if (checker(item2))
+        return item2;
+    }
+    return void 0;
+  };
+  util2.isInteger = typeof Number.isInteger === "function" ? (val) => Number.isInteger(val) : (val) => typeof val === "number" && isFinite(val) && Math.floor(val) === val;
+  function joinValues(array, separator = " | ") {
+    return array.map((val) => typeof val === "string" ? `'${val}'` : val).join(separator);
+  }
+  __name(joinValues, "joinValues");
+  util2.joinValues = joinValues;
+  util2.jsonStringifyReplacer = (_2, value3) => {
+    if (typeof value3 === "bigint") {
+      return value3.toString();
+    }
+    return value3;
+  };
+})(util || (util = {}));
+var objectUtil;
+(function(objectUtil2) {
+  objectUtil2.mergeShapes = (first, second) => {
+    return {
+      ...first,
+      ...second
+      // second overwrites first
+    };
+  };
+})(objectUtil || (objectUtil = {}));
+const ZodParsedType = util.arrayToEnum([
+  "string",
+  "nan",
+  "number",
+  "integer",
+  "float",
+  "boolean",
+  "date",
+  "bigint",
+  "symbol",
+  "function",
+  "undefined",
+  "null",
+  "array",
+  "object",
+  "unknown",
+  "promise",
+  "void",
+  "never",
+  "map",
+  "set"
+]);
+const getParsedType = /* @__PURE__ */ __name((data24) => {
+  const t = typeof data24;
+  switch (t) {
+    case "undefined":
+      return ZodParsedType.undefined;
+    case "string":
+      return ZodParsedType.string;
+    case "number":
+      return isNaN(data24) ? ZodParsedType.nan : ZodParsedType.number;
+    case "boolean":
+      return ZodParsedType.boolean;
+    case "function":
+      return ZodParsedType.function;
+    case "bigint":
+      return ZodParsedType.bigint;
+    case "symbol":
+      return ZodParsedType.symbol;
+    case "object":
+      if (Array.isArray(data24)) {
+        return ZodParsedType.array;
+      }
+      if (data24 === null) {
+        return ZodParsedType.null;
+      }
+      if (data24.then && typeof data24.then === "function" && data24.catch && typeof data24.catch === "function") {
+        return ZodParsedType.promise;
+      }
+      if (typeof Map !== "undefined" && data24 instanceof Map) {
+        return ZodParsedType.map;
+      }
+      if (typeof Set !== "undefined" && data24 instanceof Set) {
+        return ZodParsedType.set;
+      }
+      if (typeof Date !== "undefined" && data24 instanceof Date) {
+        return ZodParsedType.date;
+      }
+      return ZodParsedType.object;
+    default:
+      return ZodParsedType.unknown;
+  }
+}, "getParsedType");
+const ZodIssueCode = util.arrayToEnum([
+  "invalid_type",
+  "invalid_literal",
+  "custom",
+  "invalid_union",
+  "invalid_union_discriminator",
+  "invalid_enum_value",
+  "unrecognized_keys",
+  "invalid_arguments",
+  "invalid_return_type",
+  "invalid_date",
+  "invalid_string",
+  "too_small",
+  "too_big",
+  "invalid_intersection_types",
+  "not_multiple_of",
+  "not_finite"
+]);
+const quotelessJson = /* @__PURE__ */ __name((obj) => {
+  const json = JSON.stringify(obj, null, 2);
+  return json.replace(/"([^"]+)":/g, "$1:");
+}, "quotelessJson");
+class ZodError extends Error {
+  static {
+    __name(this, "ZodError");
+  }
+  constructor(issues) {
+    super();
+    this.issues = [];
+    this.addIssue = (sub) => {
+      this.issues = [...this.issues, sub];
+    };
+    this.addIssues = (subs = []) => {
+      this.issues = [...this.issues, ...subs];
+    };
+    const actualProto = new.target.prototype;
+    if (Object.setPrototypeOf) {
+      Object.setPrototypeOf(this, actualProto);
+    } else {
+      this.__proto__ = actualProto;
+    }
+    this.name = "ZodError";
+    this.issues = issues;
+  }
+  get errors() {
+    return this.issues;
+  }
+  format(_mapper) {
+    const mapper = _mapper || function(issue) {
+      return issue.message;
+    };
+    const fieldErrors = { _errors: [] };
+    const processError = /* @__PURE__ */ __name((error) => {
+      for (const issue of error.issues) {
+        if (issue.code === "invalid_union") {
+          issue.unionErrors.map(processError);
+        } else if (issue.code === "invalid_return_type") {
+          processError(issue.returnTypeError);
+        } else if (issue.code === "invalid_arguments") {
+          processError(issue.argumentsError);
+        } else if (issue.path.length === 0) {
+          fieldErrors._errors.push(mapper(issue));
+        } else {
+          let curr = fieldErrors;
+          let i2 = 0;
+          while (i2 < issue.path.length) {
+            const el = issue.path[i2];
+            const terminal = i2 === issue.path.length - 1;
+            if (!terminal) {
+              curr[el] = curr[el] || { _errors: [] };
+            } else {
+              curr[el] = curr[el] || { _errors: [] };
+              curr[el]._errors.push(mapper(issue));
+            }
+            curr = curr[el];
+            i2++;
+          }
+        }
+      }
+    }, "processError");
+    processError(this);
+    return fieldErrors;
+  }
+  static assert(value3) {
+    if (!(value3 instanceof ZodError)) {
+      throw new Error(`Not a ZodError: ${value3}`);
+    }
+  }
+  toString() {
+    return this.message;
+  }
+  get message() {
+    return JSON.stringify(this.issues, util.jsonStringifyReplacer, 2);
+  }
+  get isEmpty() {
+    return this.issues.length === 0;
+  }
+  flatten(mapper = (issue) => issue.message) {
+    const fieldErrors = {};
+    const formErrors = [];
+    for (const sub of this.issues) {
+      if (sub.path.length > 0) {
+        fieldErrors[sub.path[0]] = fieldErrors[sub.path[0]] || [];
+        fieldErrors[sub.path[0]].push(mapper(sub));
+      } else {
+        formErrors.push(mapper(sub));
+      }
+    }
+    return { formErrors, fieldErrors };
+  }
+  get formErrors() {
+    return this.flatten();
+  }
+}
+ZodError.create = (issues) => {
+  const error = new ZodError(issues);
+  return error;
+};
+const errorMap$1 = /* @__PURE__ */ __name((issue, _ctx) => {
+  let message3;
+  switch (issue.code) {
+    case ZodIssueCode.invalid_type:
+      if (issue.received === ZodParsedType.undefined) {
+        message3 = "Required";
+      } else {
+        message3 = `Expected ${issue.expected}, received ${issue.received}`;
+      }
+      break;
+    case ZodIssueCode.invalid_literal:
+      message3 = `Invalid literal value, expected ${JSON.stringify(issue.expected, util.jsonStringifyReplacer)}`;
+      break;
+    case ZodIssueCode.unrecognized_keys:
+      message3 = `Unrecognized key(s) in object: ${util.joinValues(issue.keys, ", ")}`;
+      break;
+    case ZodIssueCode.invalid_union:
+      message3 = `Invalid input`;
+      break;
+    case ZodIssueCode.invalid_union_discriminator:
+      message3 = `Invalid discriminator value. Expected ${util.joinValues(issue.options)}`;
+      break;
+    case ZodIssueCode.invalid_enum_value:
+      message3 = `Invalid enum value. Expected ${util.joinValues(issue.options)}, received '${issue.received}'`;
+      break;
+    case ZodIssueCode.invalid_arguments:
+      message3 = `Invalid function arguments`;
+      break;
+    case ZodIssueCode.invalid_return_type:
+      message3 = `Invalid function return type`;
+      break;
+    case ZodIssueCode.invalid_date:
+      message3 = `Invalid date`;
+      break;
+    case ZodIssueCode.invalid_string:
+      if (typeof issue.validation === "object") {
+        if ("includes" in issue.validation) {
+          message3 = `Invalid input: must include "${issue.validation.includes}"`;
+          if (typeof issue.validation.position === "number") {
+            message3 = `${message3} at one or more positions greater than or equal to ${issue.validation.position}`;
+          }
+        } else if ("startsWith" in issue.validation) {
+          message3 = `Invalid input: must start with "${issue.validation.startsWith}"`;
+        } else if ("endsWith" in issue.validation) {
+          message3 = `Invalid input: must end with "${issue.validation.endsWith}"`;
+        } else {
+          util.assertNever(issue.validation);
+        }
+      } else if (issue.validation !== "regex") {
+        message3 = `Invalid ${issue.validation}`;
+      } else {
+        message3 = "Invalid";
+      }
+      break;
+    case ZodIssueCode.too_small:
+      if (issue.type === "array")
+        message3 = `Array must contain ${issue.exact ? "exactly" : issue.inclusive ? `at least` : `more than`} ${issue.minimum} element(s)`;
+      else if (issue.type === "string")
+        message3 = `String must contain ${issue.exact ? "exactly" : issue.inclusive ? `at least` : `over`} ${issue.minimum} character(s)`;
+      else if (issue.type === "number")
+        message3 = `Number must be ${issue.exact ? `exactly equal to ` : issue.inclusive ? `greater than or equal to ` : `greater than `}${issue.minimum}`;
+      else if (issue.type === "date")
+        message3 = `Date must be ${issue.exact ? `exactly equal to ` : issue.inclusive ? `greater than or equal to ` : `greater than `}${new Date(Number(issue.minimum))}`;
+      else
+        message3 = "Invalid input";
+      break;
+    case ZodIssueCode.too_big:
+      if (issue.type === "array")
+        message3 = `Array must contain ${issue.exact ? `exactly` : issue.inclusive ? `at most` : `less than`} ${issue.maximum} element(s)`;
+      else if (issue.type === "string")
+        message3 = `String must contain ${issue.exact ? `exactly` : issue.inclusive ? `at most` : `under`} ${issue.maximum} character(s)`;
+      else if (issue.type === "number")
+        message3 = `Number must be ${issue.exact ? `exactly` : issue.inclusive ? `less than or equal to` : `less than`} ${issue.maximum}`;
+      else if (issue.type === "bigint")
+        message3 = `BigInt must be ${issue.exact ? `exactly` : issue.inclusive ? `less than or equal to` : `less than`} ${issue.maximum}`;
+      else if (issue.type === "date")
+        message3 = `Date must be ${issue.exact ? `exactly` : issue.inclusive ? `smaller than or equal to` : `smaller than`} ${new Date(Number(issue.maximum))}`;
+      else
+        message3 = "Invalid input";
+      break;
+    case ZodIssueCode.custom:
+      message3 = `Invalid input`;
+      break;
+    case ZodIssueCode.invalid_intersection_types:
+      message3 = `Intersection results could not be merged`;
+      break;
+    case ZodIssueCode.not_multiple_of:
+      message3 = `Number must be a multiple of ${issue.multipleOf}`;
+      break;
+    case ZodIssueCode.not_finite:
+      message3 = "Number must be finite";
+      break;
+    default:
+      message3 = _ctx.defaultError;
+      util.assertNever(issue);
+  }
+  return { message: message3 };
+}, "errorMap$1");
+let overrideErrorMap = errorMap$1;
+function setErrorMap(map2) {
+  overrideErrorMap = map2;
+}
+__name(setErrorMap, "setErrorMap");
+function getErrorMap() {
+  return overrideErrorMap;
+}
+__name(getErrorMap, "getErrorMap");
+const makeIssue = /* @__PURE__ */ __name((params) => {
+  const { data: data24, path, errorMaps, issueData } = params;
+  const fullPath = [...path, ...issueData.path || []];
+  const fullIssue = {
+    ...issueData,
+    path: fullPath
+  };
+  if (issueData.message !== void 0) {
+    return {
+      ...issueData,
+      path: fullPath,
+      message: issueData.message
+    };
+  }
+  let errorMessage = "";
+  const maps = errorMaps.filter((m) => !!m).slice().reverse();
+  for (const map2 of maps) {
+    errorMessage = map2(fullIssue, { data: data24, defaultError: errorMessage }).message;
+  }
+  return {
+    ...issueData,
+    path: fullPath,
+    message: errorMessage
+  };
+}, "makeIssue");
+const EMPTY_PATH = [];
+function addIssueToContext(ctx, issueData) {
+  const overrideMap = getErrorMap();
+  const issue = makeIssue({
+    issueData,
+    data: ctx.data,
+    path: ctx.path,
+    errorMaps: [
+      ctx.common.contextualErrorMap,
+      ctx.schemaErrorMap,
+      overrideMap,
+      overrideMap === errorMap$1 ? void 0 : errorMap$1
+      // then global default map
+    ].filter((x2) => !!x2)
+  });
+  ctx.common.issues.push(issue);
+}
+__name(addIssueToContext, "addIssueToContext");
+class ParseStatus {
+  static {
+    __name(this, "ParseStatus");
+  }
+  constructor() {
+    this.value = "valid";
+  }
+  dirty() {
+    if (this.value === "valid")
+      this.value = "dirty";
+  }
+  abort() {
+    if (this.value !== "aborted")
+      this.value = "aborted";
+  }
+  static mergeArray(status, results) {
+    const arrayValue = [];
+    for (const s of results) {
+      if (s.status === "aborted")
+        return INVALID;
+      if (s.status === "dirty")
+        status.dirty();
+      arrayValue.push(s.value);
+    }
+    return { status: status.value, value: arrayValue };
+  }
+  static async mergeObjectAsync(status, pairs) {
+    const syncPairs = [];
+    for (const pair of pairs) {
+      const key = await pair.key;
+      const value3 = await pair.value;
+      syncPairs.push({
+        key,
+        value: value3
+      });
+    }
+    return ParseStatus.mergeObjectSync(status, syncPairs);
+  }
+  static mergeObjectSync(status, pairs) {
+    const finalObject = {};
+    for (const pair of pairs) {
+      const { key, value: value3 } = pair;
+      if (key.status === "aborted")
+        return INVALID;
+      if (value3.status === "aborted")
+        return INVALID;
+      if (key.status === "dirty")
+        status.dirty();
+      if (value3.status === "dirty")
+        status.dirty();
+      if (key.value !== "__proto__" && (typeof value3.value !== "undefined" || pair.alwaysSet)) {
+        finalObject[key.value] = value3.value;
+      }
+    }
+    return { status: status.value, value: finalObject };
+  }
+}
+const INVALID = Object.freeze({
+  status: "aborted"
+});
+const DIRTY = /* @__PURE__ */ __name((value3) => ({ status: "dirty", value: value3 }), "DIRTY");
+const OK = /* @__PURE__ */ __name((value3) => ({ status: "valid", value: value3 }), "OK");
+const isAborted = /* @__PURE__ */ __name((x2) => x2.status === "aborted", "isAborted");
+const isDirty = /* @__PURE__ */ __name((x2) => x2.status === "dirty", "isDirty");
+const isValid = /* @__PURE__ */ __name((x2) => x2.status === "valid", "isValid");
+const isAsync = /* @__PURE__ */ __name((x2) => typeof Promise !== "undefined" && x2 instanceof Promise, "isAsync");
+function __classPrivateFieldGet(receiver, state, kind, f) {
+  if (kind === "a" && !f) throw new TypeError("Private accessor was defined without a getter");
+  if (typeof state === "function" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError("Cannot read private member from an object whose class did not declare it");
+  return kind === "m" ? f : kind === "a" ? f.call(receiver) : f ? f.value : state.get(receiver);
+}
+__name(__classPrivateFieldGet, "__classPrivateFieldGet");
+function __classPrivateFieldSet(receiver, state, value3, kind, f) {
+  if (kind === "m") throw new TypeError("Private method is not writable");
+  if (kind === "a" && !f) throw new TypeError("Private accessor was defined without a setter");
+  if (typeof state === "function" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError("Cannot write private member to an object whose class did not declare it");
+  return kind === "a" ? f.call(receiver, value3) : f ? f.value = value3 : state.set(receiver, value3), value3;
+}
+__name(__classPrivateFieldSet, "__classPrivateFieldSet");
+typeof SuppressedError === "function" ? SuppressedError : function(error, suppressed, message3) {
+  var e = new Error(message3);
+  return e.name = "SuppressedError", e.error = error, e.suppressed = suppressed, e;
+};
+var errorUtil;
+(function(errorUtil2) {
+  errorUtil2.errToObj = (message3) => typeof message3 === "string" ? { message: message3 } : message3 || {};
+  errorUtil2.toString = (message3) => typeof message3 === "string" ? message3 : message3 === null || message3 === void 0 ? void 0 : message3.message;
+})(errorUtil || (errorUtil = {}));
+var _ZodEnum_cache, _ZodNativeEnum_cache;
+class ParseInputLazyPath {
+  static {
+    __name(this, "ParseInputLazyPath");
+  }
+  constructor(parent, value3, path, key) {
+    this._cachedPath = [];
+    this.parent = parent;
+    this.data = value3;
+    this._path = path;
+    this._key = key;
+  }
+  get path() {
+    if (!this._cachedPath.length) {
+      if (this._key instanceof Array) {
+        this._cachedPath.push(...this._path, ...this._key);
+      } else {
+        this._cachedPath.push(...this._path, this._key);
+      }
+    }
+    return this._cachedPath;
+  }
+}
+const handleResult = /* @__PURE__ */ __name((ctx, result) => {
+  if (isValid(result)) {
+    return { success: true, data: result.value };
+  } else {
+    if (!ctx.common.issues.length) {
+      throw new Error("Validation failed but no issues detected.");
+    }
+    return {
+      success: false,
+      get error() {
+        if (this._error)
+          return this._error;
+        const error = new ZodError(ctx.common.issues);
+        this._error = error;
+        return this._error;
+      }
+    };
+  }
+}, "handleResult");
+function processCreateParams(params) {
+  if (!params)
+    return {};
+  const { errorMap: errorMap2, invalid_type_error, required_error, description } = params;
+  if (errorMap2 && (invalid_type_error || required_error)) {
+    throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);
+  }
+  if (errorMap2)
+    return { errorMap: errorMap2, description };
+  const customMap = /* @__PURE__ */ __name((iss, ctx) => {
+    var _a, _b;
+    const { message: message3 } = params;
+    if (iss.code === "invalid_enum_value") {
+      return { message: message3 !== null && message3 !== void 0 ? message3 : ctx.defaultError };
+    }
+    if (typeof ctx.data === "undefined") {
+      return { message: (_a = message3 !== null && message3 !== void 0 ? message3 : required_error) !== null && _a !== void 0 ? _a : ctx.defaultError };
+    }
+    if (iss.code !== "invalid_type")
+      return { message: ctx.defaultError };
+    return { message: (_b = message3 !== null && message3 !== void 0 ? message3 : invalid_type_error) !== null && _b !== void 0 ? _b : ctx.defaultError };
+  }, "customMap");
+  return { errorMap: customMap, description };
+}
+__name(processCreateParams, "processCreateParams");
+class ZodType {
+  static {
+    __name(this, "ZodType");
+  }
+  constructor(def2) {
+    this.spa = this.safeParseAsync;
+    this._def = def2;
+    this.parse = this.parse.bind(this);
+    this.safeParse = this.safeParse.bind(this);
+    this.parseAsync = this.parseAsync.bind(this);
+    this.safeParseAsync = this.safeParseAsync.bind(this);
+    this.spa = this.spa.bind(this);
+    this.refine = this.refine.bind(this);
+    this.refinement = this.refinement.bind(this);
+    this.superRefine = this.superRefine.bind(this);
+    this.optional = this.optional.bind(this);
+    this.nullable = this.nullable.bind(this);
+    this.nullish = this.nullish.bind(this);
+    this.array = this.array.bind(this);
+    this.promise = this.promise.bind(this);
+    this.or = this.or.bind(this);
+    this.and = this.and.bind(this);
+    this.transform = this.transform.bind(this);
+    this.brand = this.brand.bind(this);
+    this.default = this.default.bind(this);
+    this.catch = this.catch.bind(this);
+    this.describe = this.describe.bind(this);
+    this.pipe = this.pipe.bind(this);
+    this.readonly = this.readonly.bind(this);
+    this.isNullable = this.isNullable.bind(this);
+    this.isOptional = this.isOptional.bind(this);
+  }
+  get description() {
+    return this._def.description;
+  }
+  _getType(input) {
+    return getParsedType(input.data);
+  }
+  _getOrReturnCtx(input, ctx) {
+    return ctx || {
+      common: input.parent.common,
+      data: input.data,
+      parsedType: getParsedType(input.data),
+      schemaErrorMap: this._def.errorMap,
+      path: input.path,
+      parent: input.parent
+    };
+  }
+  _processInputParams(input) {
+    return {
+      status: new ParseStatus(),
+      ctx: {
+        common: input.parent.common,
+        data: input.data,
+        parsedType: getParsedType(input.data),
+        schemaErrorMap: this._def.errorMap,
+        path: input.path,
+        parent: input.parent
+      }
+    };
+  }
+  _parseSync(input) {
+    const result = this._parse(input);
+    if (isAsync(result)) {
+      throw new Error("Synchronous parse encountered promise.");
+    }
+    return result;
+  }
+  _parseAsync(input) {
+    const result = this._parse(input);
+    return Promise.resolve(result);
+  }
+  parse(data24, params) {
+    const result = this.safeParse(data24, params);
+    if (result.success)
+      return result.data;
+    throw result.error;
+  }
+  safeParse(data24, params) {
+    var _a;
+    const ctx = {
+      common: {
+        issues: [],
+        async: (_a = params === null || params === void 0 ? void 0 : params.async) !== null && _a !== void 0 ? _a : false,
+        contextualErrorMap: params === null || params === void 0 ? void 0 : params.errorMap
+      },
+      path: (params === null || params === void 0 ? void 0 : params.path) || [],
+      schemaErrorMap: this._def.errorMap,
+      parent: null,
+      data: data24,
+      parsedType: getParsedType(data24)
+    };
+    const result = this._parseSync({ data: data24, path: ctx.path, parent: ctx });
+    return handleResult(ctx, result);
+  }
+  async parseAsync(data24, params) {
+    const result = await this.safeParseAsync(data24, params);
+    if (result.success)
+      return result.data;
+    throw result.error;
+  }
+  async safeParseAsync(data24, params) {
+    const ctx = {
+      common: {
+        issues: [],
+        contextualErrorMap: params === null || params === void 0 ? void 0 : params.errorMap,
+        async: true
+      },
+      path: (params === null || params === void 0 ? void 0 : params.path) || [],
+      schemaErrorMap: this._def.errorMap,
+      parent: null,
+      data: data24,
+      parsedType: getParsedType(data24)
+    };
+    const maybeAsyncResult = this._parse({ data: data24, path: ctx.path, parent: ctx });
+    const result = await (isAsync(maybeAsyncResult) ? maybeAsyncResult : Promise.resolve(maybeAsyncResult));
+    return handleResult(ctx, result);
+  }
+  refine(check, message3) {
+    const getIssueProperties = /* @__PURE__ */ __name((val) => {
+      if (typeof message3 === "string" || typeof message3 === "undefined") {
+        return { message: message3 };
+      } else if (typeof message3 === "function") {
+        return message3(val);
+      } else {
+        return message3;
+      }
+    }, "getIssueProperties");
+    return this._refinement((val, ctx) => {
+      const result = check(val);
+      const setError = /* @__PURE__ */ __name(() => ctx.addIssue({
+        code: ZodIssueCode.custom,
+        ...getIssueProperties(val)
+      }), "setError");
+      if (typeof Promise !== "undefined" && result instanceof Promise) {
+        return result.then((data24) => {
+          if (!data24) {
+            setError();
+            return false;
+          } else {
+            return true;
+          }
+        });
+      }
+      if (!result) {
+        setError();
+        return false;
+      } else {
+        return true;
+      }
+    });
+  }
+  refinement(check, refinementData) {
+    return this._refinement((val, ctx) => {
+      if (!check(val)) {
+        ctx.addIssue(typeof refinementData === "function" ? refinementData(val, ctx) : refinementData);
+        return false;
+      } else {
+        return true;
+      }
+    });
+  }
+  _refinement(refinement) {
+    return new ZodEffects({
+      schema: this,
+      typeName: ZodFirstPartyTypeKind.ZodEffects,
+      effect: { type: "refinement", refinement }
+    });
+  }
+  superRefine(refinement) {
+    return this._refinement(refinement);
+  }
+  optional() {
+    return ZodOptional.create(this, this._def);
+  }
+  nullable() {
+    return ZodNullable.create(this, this._def);
+  }
+  nullish() {
+    return this.nullable().optional();
+  }
+  array() {
+    return ZodArray.create(this, this._def);
+  }
+  promise() {
+    return ZodPromise.create(this, this._def);
+  }
+  or(option4) {
+    return ZodUnion.create([this, option4], this._def);
+  }
+  and(incoming) {
+    return ZodIntersection.create(this, incoming, this._def);
+  }
+  transform(transform2) {
+    return new ZodEffects({
+      ...processCreateParams(this._def),
+      schema: this,
+      typeName: ZodFirstPartyTypeKind.ZodEffects,
+      effect: { type: "transform", transform: transform2 }
+    });
+  }
+  default(def2) {
+    const defaultValueFunc = typeof def2 === "function" ? def2 : () => def2;
+    return new ZodDefault({
+      ...processCreateParams(this._def),
+      innerType: this,
+      defaultValue: defaultValueFunc,
+      typeName: ZodFirstPartyTypeKind.ZodDefault
+    });
+  }
+  brand() {
+    return new ZodBranded({
+      typeName: ZodFirstPartyTypeKind.ZodBranded,
+      type: this,
+      ...processCreateParams(this._def)
+    });
+  }
+  catch(def2) {
+    const catchValueFunc = typeof def2 === "function" ? def2 : () => def2;
+    return new ZodCatch({
+      ...processCreateParams(this._def),
+      innerType: this,
+      catchValue: catchValueFunc,
+      typeName: ZodFirstPartyTypeKind.ZodCatch
+    });
+  }
+  describe(description) {
+    const This = this.constructor;
+    return new This({
+      ...this._def,
+      description
+    });
+  }
+  pipe(target) {
+    return ZodPipeline.create(this, target);
+  }
+  readonly() {
+    return ZodReadonly.create(this);
+  }
+  isOptional() {
+    return this.safeParse(void 0).success;
+  }
+  isNullable() {
+    return this.safeParse(null).success;
+  }
+}
+const cuidRegex = /^c[^\s-]{8,}$/i;
+const cuid2Regex = /^[0-9a-z]+$/;
+const ulidRegex = /^[0-9A-HJKMNP-TV-Z]{26}$/;
+const uuidRegex = /^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i;
+const nanoidRegex = /^[a-z0-9_-]{21}$/i;
+const durationRegex = /^[-+]?P(?!$)(?:(?:[-+]?\d+Y)|(?:[-+]?\d+[.,]\d+Y$))?(?:(?:[-+]?\d+M)|(?:[-+]?\d+[.,]\d+M$))?(?:(?:[-+]?\d+W)|(?:[-+]?\d+[.,]\d+W$))?(?:(?:[-+]?\d+D)|(?:[-+]?\d+[.,]\d+D$))?(?:T(?=[\d+-])(?:(?:[-+]?\d+H)|(?:[-+]?\d+[.,]\d+H$))?(?:(?:[-+]?\d+M)|(?:[-+]?\d+[.,]\d+M$))?(?:[-+]?\d+(?:[.,]\d+)?S)?)??$/;
+const emailRegex = /^(?!\.)(?!.*\.\.)([A-Z0-9_'+\-\.]*)[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i;
+const _emojiRegex = `^(\\p{Extended_Pictographic}|\\p{Emoji_Component})+$`;
+let emojiRegex;
+const ipv4Regex = /^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])$/;
+const ipv6Regex = /^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/;
+const base64Regex = /^([0-9a-zA-Z+/]{4})*(([0-9a-zA-Z+/]{2}==)|([0-9a-zA-Z+/]{3}=))?$/;
+const dateRegexSource = `((\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-((0[13578]|1[02])-(0[1-9]|[12]\\d|3[01])|(0[469]|11)-(0[1-9]|[12]\\d|30)|(02)-(0[1-9]|1\\d|2[0-8])))`;
+const dateRegex = new RegExp(`^${dateRegexSource}$`);
+function timeRegexSource(args) {
+  let regex = `([01]\\d|2[0-3]):[0-5]\\d:[0-5]\\d`;
+  if (args.precision) {
+    regex = `${regex}\\.\\d{${args.precision}}`;
+  } else if (args.precision == null) {
+    regex = `${regex}(\\.\\d+)?`;
+  }
+  return regex;
+}
+__name(timeRegexSource, "timeRegexSource");
+function timeRegex(args) {
+  return new RegExp(`^${timeRegexSource(args)}$`);
+}
+__name(timeRegex, "timeRegex");
+function datetimeRegex(args) {
+  let regex = `${dateRegexSource}T${timeRegexSource(args)}`;
+  const opts = [];
+  opts.push(args.local ? `Z?` : `Z`);
+  if (args.offset)
+    opts.push(`([+-]\\d{2}:?\\d{2})`);
+  regex = `${regex}(${opts.join("|")})`;
+  return new RegExp(`^${regex}$`);
+}
+__name(datetimeRegex, "datetimeRegex");
+function isValidIP(ip, version2) {
+  if ((version2 === "v4" || !version2) && ipv4Regex.test(ip)) {
+    return true;
+  }
+  if ((version2 === "v6" || !version2) && ipv6Regex.test(ip)) {
+    return true;
+  }
+  return false;
+}
+__name(isValidIP, "isValidIP");
+class ZodString extends ZodType {
+  static {
+    __name(this, "ZodString");
+  }
+  _parse(input) {
+    if (this._def.coerce) {
+      input.data = String(input.data);
+    }
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.string) {
+      const ctx2 = this._getOrReturnCtx(input);
+      addIssueToContext(ctx2, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.string,
+        received: ctx2.parsedType
+      });
+      return INVALID;
+    }
+    const status = new ParseStatus();
+    let ctx = void 0;
+    for (const check of this._def.checks) {
+      if (check.kind === "min") {
+        if (input.data.length < check.value) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.too_small,
+            minimum: check.value,
+            type: "string",
+            inclusive: true,
+            exact: false,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "max") {
+        if (input.data.length > check.value) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.too_big,
+            maximum: check.value,
+            type: "string",
+            inclusive: true,
+            exact: false,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "length") {
+        const tooBig = input.data.length > check.value;
+        const tooSmall = input.data.length < check.value;
+        if (tooBig || tooSmall) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          if (tooBig) {
+            addIssueToContext(ctx, {
+              code: ZodIssueCode.too_big,
+              maximum: check.value,
+              type: "string",
+              inclusive: true,
+              exact: true,
+              message: check.message
+            });
+          } else if (tooSmall) {
+            addIssueToContext(ctx, {
+              code: ZodIssueCode.too_small,
+              minimum: check.value,
+              type: "string",
+              inclusive: true,
+              exact: true,
+              message: check.message
+            });
+          }
+          status.dirty();
+        }
+      } else if (check.kind === "email") {
+        if (!emailRegex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "email",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "emoji") {
+        if (!emojiRegex) {
+          emojiRegex = new RegExp(_emojiRegex, "u");
+        }
+        if (!emojiRegex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "emoji",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "uuid") {
+        if (!uuidRegex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "uuid",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "nanoid") {
+        if (!nanoidRegex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "nanoid",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "cuid") {
+        if (!cuidRegex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "cuid",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "cuid2") {
+        if (!cuid2Regex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "cuid2",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "ulid") {
+        if (!ulidRegex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "ulid",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "url") {
+        try {
+          new URL(input.data);
+        } catch (_a) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "url",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "regex") {
+        check.regex.lastIndex = 0;
+        const testResult = check.regex.test(input.data);
+        if (!testResult) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "regex",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "trim") {
+        input.data = input.data.trim();
+      } else if (check.kind === "includes") {
+        if (!input.data.includes(check.value, check.position)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.invalid_string,
+            validation: { includes: check.value, position: check.position },
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "toLowerCase") {
+        input.data = input.data.toLowerCase();
+      } else if (check.kind === "toUpperCase") {
+        input.data = input.data.toUpperCase();
+      } else if (check.kind === "startsWith") {
+        if (!input.data.startsWith(check.value)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.invalid_string,
+            validation: { startsWith: check.value },
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "endsWith") {
+        if (!input.data.endsWith(check.value)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.invalid_string,
+            validation: { endsWith: check.value },
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "datetime") {
+        const regex = datetimeRegex(check);
+        if (!regex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.invalid_string,
+            validation: "datetime",
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "date") {
+        const regex = dateRegex;
+        if (!regex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.invalid_string,
+            validation: "date",
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "time") {
+        const regex = timeRegex(check);
+        if (!regex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.invalid_string,
+            validation: "time",
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "duration") {
+        if (!durationRegex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "duration",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "ip") {
+        if (!isValidIP(input.data, check.version)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "ip",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "base64") {
+        if (!base64Regex.test(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            validation: "base64",
+            code: ZodIssueCode.invalid_string,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else {
+        util.assertNever(check);
+      }
+    }
+    return { status: status.value, value: input.data };
+  }
+  _regex(regex, validation, message3) {
+    return this.refinement((data24) => regex.test(data24), {
+      validation,
+      code: ZodIssueCode.invalid_string,
+      ...errorUtil.errToObj(message3)
+    });
+  }
+  _addCheck(check) {
+    return new ZodString({
+      ...this._def,
+      checks: [...this._def.checks, check]
+    });
+  }
+  email(message3) {
+    return this._addCheck({ kind: "email", ...errorUtil.errToObj(message3) });
+  }
+  url(message3) {
+    return this._addCheck({ kind: "url", ...errorUtil.errToObj(message3) });
+  }
+  emoji(message3) {
+    return this._addCheck({ kind: "emoji", ...errorUtil.errToObj(message3) });
+  }
+  uuid(message3) {
+    return this._addCheck({ kind: "uuid", ...errorUtil.errToObj(message3) });
+  }
+  nanoid(message3) {
+    return this._addCheck({ kind: "nanoid", ...errorUtil.errToObj(message3) });
+  }
+  cuid(message3) {
+    return this._addCheck({ kind: "cuid", ...errorUtil.errToObj(message3) });
+  }
+  cuid2(message3) {
+    return this._addCheck({ kind: "cuid2", ...errorUtil.errToObj(message3) });
+  }
+  ulid(message3) {
+    return this._addCheck({ kind: "ulid", ...errorUtil.errToObj(message3) });
+  }
+  base64(message3) {
+    return this._addCheck({ kind: "base64", ...errorUtil.errToObj(message3) });
+  }
+  ip(options3) {
+    return this._addCheck({ kind: "ip", ...errorUtil.errToObj(options3) });
+  }
+  datetime(options3) {
+    var _a, _b;
+    if (typeof options3 === "string") {
+      return this._addCheck({
+        kind: "datetime",
+        precision: null,
+        offset: false,
+        local: false,
+        message: options3
+      });
+    }
+    return this._addCheck({
+      kind: "datetime",
+      precision: typeof (options3 === null || options3 === void 0 ? void 0 : options3.precision) === "undefined" ? null : options3 === null || options3 === void 0 ? void 0 : options3.precision,
+      offset: (_a = options3 === null || options3 === void 0 ? void 0 : options3.offset) !== null && _a !== void 0 ? _a : false,
+      local: (_b = options3 === null || options3 === void 0 ? void 0 : options3.local) !== null && _b !== void 0 ? _b : false,
+      ...errorUtil.errToObj(options3 === null || options3 === void 0 ? void 0 : options3.message)
+    });
+  }
+  date(message3) {
+    return this._addCheck({ kind: "date", message: message3 });
+  }
+  time(options3) {
+    if (typeof options3 === "string") {
+      return this._addCheck({
+        kind: "time",
+        precision: null,
+        message: options3
+      });
+    }
+    return this._addCheck({
+      kind: "time",
+      precision: typeof (options3 === null || options3 === void 0 ? void 0 : options3.precision) === "undefined" ? null : options3 === null || options3 === void 0 ? void 0 : options3.precision,
+      ...errorUtil.errToObj(options3 === null || options3 === void 0 ? void 0 : options3.message)
+    });
+  }
+  duration(message3) {
+    return this._addCheck({ kind: "duration", ...errorUtil.errToObj(message3) });
+  }
+  regex(regex, message3) {
+    return this._addCheck({
+      kind: "regex",
+      regex,
+      ...errorUtil.errToObj(message3)
+    });
+  }
+  includes(value3, options3) {
+    return this._addCheck({
+      kind: "includes",
+      value: value3,
+      position: options3 === null || options3 === void 0 ? void 0 : options3.position,
+      ...errorUtil.errToObj(options3 === null || options3 === void 0 ? void 0 : options3.message)
+    });
+  }
+  startsWith(value3, message3) {
+    return this._addCheck({
+      kind: "startsWith",
+      value: value3,
+      ...errorUtil.errToObj(message3)
+    });
+  }
+  endsWith(value3, message3) {
+    return this._addCheck({
+      kind: "endsWith",
+      value: value3,
+      ...errorUtil.errToObj(message3)
+    });
+  }
+  min(minLength, message3) {
+    return this._addCheck({
+      kind: "min",
+      value: minLength,
+      ...errorUtil.errToObj(message3)
+    });
+  }
+  max(maxLength, message3) {
+    return this._addCheck({
+      kind: "max",
+      value: maxLength,
+      ...errorUtil.errToObj(message3)
+    });
+  }
+  length(len, message3) {
+    return this._addCheck({
+      kind: "length",
+      value: len,
+      ...errorUtil.errToObj(message3)
+    });
+  }
+  /**
+   * @deprecated Use z.string().min(1) instead.
+   * @see {@link ZodString.min}
+   */
+  nonempty(message3) {
+    return this.min(1, errorUtil.errToObj(message3));
+  }
+  trim() {
+    return new ZodString({
+      ...this._def,
+      checks: [...this._def.checks, { kind: "trim" }]
+    });
+  }
+  toLowerCase() {
+    return new ZodString({
+      ...this._def,
+      checks: [...this._def.checks, { kind: "toLowerCase" }]
+    });
+  }
+  toUpperCase() {
+    return new ZodString({
+      ...this._def,
+      checks: [...this._def.checks, { kind: "toUpperCase" }]
+    });
+  }
+  get isDatetime() {
+    return !!this._def.checks.find((ch) => ch.kind === "datetime");
+  }
+  get isDate() {
+    return !!this._def.checks.find((ch) => ch.kind === "date");
+  }
+  get isTime() {
+    return !!this._def.checks.find((ch) => ch.kind === "time");
+  }
+  get isDuration() {
+    return !!this._def.checks.find((ch) => ch.kind === "duration");
+  }
+  get isEmail() {
+    return !!this._def.checks.find((ch) => ch.kind === "email");
+  }
+  get isURL() {
+    return !!this._def.checks.find((ch) => ch.kind === "url");
+  }
+  get isEmoji() {
+    return !!this._def.checks.find((ch) => ch.kind === "emoji");
+  }
+  get isUUID() {
+    return !!this._def.checks.find((ch) => ch.kind === "uuid");
+  }
+  get isNANOID() {
+    return !!this._def.checks.find((ch) => ch.kind === "nanoid");
+  }
+  get isCUID() {
+    return !!this._def.checks.find((ch) => ch.kind === "cuid");
+  }
+  get isCUID2() {
+    return !!this._def.checks.find((ch) => ch.kind === "cuid2");
+  }
+  get isULID() {
+    return !!this._def.checks.find((ch) => ch.kind === "ulid");
+  }
+  get isIP() {
+    return !!this._def.checks.find((ch) => ch.kind === "ip");
+  }
+  get isBase64() {
+    return !!this._def.checks.find((ch) => ch.kind === "base64");
+  }
+  get minLength() {
+    let min = null;
+    for (const ch of this._def.checks) {
+      if (ch.kind === "min") {
+        if (min === null || ch.value > min)
+          min = ch.value;
+      }
+    }
+    return min;
+  }
+  get maxLength() {
+    let max = null;
+    for (const ch of this._def.checks) {
+      if (ch.kind === "max") {
+        if (max === null || ch.value < max)
+          max = ch.value;
+      }
+    }
+    return max;
+  }
+}
+ZodString.create = (params) => {
+  var _a;
+  return new ZodString({
+    checks: [],
+    typeName: ZodFirstPartyTypeKind.ZodString,
+    coerce: (_a = params === null || params === void 0 ? void 0 : params.coerce) !== null && _a !== void 0 ? _a : false,
+    ...processCreateParams(params)
+  });
+};
+function floatSafeRemainder(val, step2) {
+  const valDecCount = (val.toString().split(".")[1] || "").length;
+  const stepDecCount = (step2.toString().split(".")[1] || "").length;
+  const decCount = valDecCount > stepDecCount ? valDecCount : stepDecCount;
+  const valInt = parseInt(val.toFixed(decCount).replace(".", ""));
+  const stepInt = parseInt(step2.toFixed(decCount).replace(".", ""));
+  return valInt % stepInt / Math.pow(10, decCount);
+}
+__name(floatSafeRemainder, "floatSafeRemainder");
+class ZodNumber extends ZodType {
+  static {
+    __name(this, "ZodNumber");
+  }
+  constructor() {
+    super(...arguments);
+    this.min = this.gte;
+    this.max = this.lte;
+    this.step = this.multipleOf;
+  }
+  _parse(input) {
+    if (this._def.coerce) {
+      input.data = Number(input.data);
+    }
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.number) {
+      const ctx2 = this._getOrReturnCtx(input);
+      addIssueToContext(ctx2, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.number,
+        received: ctx2.parsedType
+      });
+      return INVALID;
+    }
+    let ctx = void 0;
+    const status = new ParseStatus();
+    for (const check of this._def.checks) {
+      if (check.kind === "int") {
+        if (!util.isInteger(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.invalid_type,
+            expected: "integer",
+            received: "float",
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "min") {
+        const tooSmall = check.inclusive ? input.data < check.value : input.data <= check.value;
+        if (tooSmall) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.too_small,
+            minimum: check.value,
+            type: "number",
+            inclusive: check.inclusive,
+            exact: false,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "max") {
+        const tooBig = check.inclusive ? input.data > check.value : input.data >= check.value;
+        if (tooBig) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.too_big,
+            maximum: check.value,
+            type: "number",
+            inclusive: check.inclusive,
+            exact: false,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "multipleOf") {
+        if (floatSafeRemainder(input.data, check.value) !== 0) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.not_multiple_of,
+            multipleOf: check.value,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "finite") {
+        if (!Number.isFinite(input.data)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.not_finite,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else {
+        util.assertNever(check);
+      }
+    }
+    return { status: status.value, value: input.data };
+  }
+  gte(value3, message3) {
+    return this.setLimit("min", value3, true, errorUtil.toString(message3));
+  }
+  gt(value3, message3) {
+    return this.setLimit("min", value3, false, errorUtil.toString(message3));
+  }
+  lte(value3, message3) {
+    return this.setLimit("max", value3, true, errorUtil.toString(message3));
+  }
+  lt(value3, message3) {
+    return this.setLimit("max", value3, false, errorUtil.toString(message3));
+  }
+  setLimit(kind, value3, inclusive, message3) {
+    return new ZodNumber({
+      ...this._def,
+      checks: [
+        ...this._def.checks,
+        {
+          kind,
+          value: value3,
+          inclusive,
+          message: errorUtil.toString(message3)
+        }
+      ]
+    });
+  }
+  _addCheck(check) {
+    return new ZodNumber({
+      ...this._def,
+      checks: [...this._def.checks, check]
+    });
+  }
+  int(message3) {
+    return this._addCheck({
+      kind: "int",
+      message: errorUtil.toString(message3)
+    });
+  }
+  positive(message3) {
+    return this._addCheck({
+      kind: "min",
+      value: 0,
+      inclusive: false,
+      message: errorUtil.toString(message3)
+    });
+  }
+  negative(message3) {
+    return this._addCheck({
+      kind: "max",
+      value: 0,
+      inclusive: false,
+      message: errorUtil.toString(message3)
+    });
+  }
+  nonpositive(message3) {
+    return this._addCheck({
+      kind: "max",
+      value: 0,
+      inclusive: true,
+      message: errorUtil.toString(message3)
+    });
+  }
+  nonnegative(message3) {
+    return this._addCheck({
+      kind: "min",
+      value: 0,
+      inclusive: true,
+      message: errorUtil.toString(message3)
+    });
+  }
+  multipleOf(value3, message3) {
+    return this._addCheck({
+      kind: "multipleOf",
+      value: value3,
+      message: errorUtil.toString(message3)
+    });
+  }
+  finite(message3) {
+    return this._addCheck({
+      kind: "finite",
+      message: errorUtil.toString(message3)
+    });
+  }
+  safe(message3) {
+    return this._addCheck({
+      kind: "min",
+      inclusive: true,
+      value: Number.MIN_SAFE_INTEGER,
+      message: errorUtil.toString(message3)
+    })._addCheck({
+      kind: "max",
+      inclusive: true,
+      value: Number.MAX_SAFE_INTEGER,
+      message: errorUtil.toString(message3)
+    });
+  }
+  get minValue() {
+    let min = null;
+    for (const ch of this._def.checks) {
+      if (ch.kind === "min") {
+        if (min === null || ch.value > min)
+          min = ch.value;
+      }
+    }
+    return min;
+  }
+  get maxValue() {
+    let max = null;
+    for (const ch of this._def.checks) {
+      if (ch.kind === "max") {
+        if (max === null || ch.value < max)
+          max = ch.value;
+      }
+    }
+    return max;
+  }
+  get isInt() {
+    return !!this._def.checks.find((ch) => ch.kind === "int" || ch.kind === "multipleOf" && util.isInteger(ch.value));
+  }
+  get isFinite() {
+    let max = null, min = null;
+    for (const ch of this._def.checks) {
+      if (ch.kind === "finite" || ch.kind === "int" || ch.kind === "multipleOf") {
+        return true;
+      } else if (ch.kind === "min") {
+        if (min === null || ch.value > min)
+          min = ch.value;
+      } else if (ch.kind === "max") {
+        if (max === null || ch.value < max)
+          max = ch.value;
+      }
+    }
+    return Number.isFinite(min) && Number.isFinite(max);
+  }
+}
+ZodNumber.create = (params) => {
+  return new ZodNumber({
+    checks: [],
+    typeName: ZodFirstPartyTypeKind.ZodNumber,
+    coerce: (params === null || params === void 0 ? void 0 : params.coerce) || false,
+    ...processCreateParams(params)
+  });
+};
+class ZodBigInt extends ZodType {
+  static {
+    __name(this, "ZodBigInt");
+  }
+  constructor() {
+    super(...arguments);
+    this.min = this.gte;
+    this.max = this.lte;
+  }
+  _parse(input) {
+    if (this._def.coerce) {
+      input.data = BigInt(input.data);
+    }
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.bigint) {
+      const ctx2 = this._getOrReturnCtx(input);
+      addIssueToContext(ctx2, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.bigint,
+        received: ctx2.parsedType
+      });
+      return INVALID;
+    }
+    let ctx = void 0;
+    const status = new ParseStatus();
+    for (const check of this._def.checks) {
+      if (check.kind === "min") {
+        const tooSmall = check.inclusive ? input.data < check.value : input.data <= check.value;
+        if (tooSmall) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.too_small,
+            type: "bigint",
+            minimum: check.value,
+            inclusive: check.inclusive,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "max") {
+        const tooBig = check.inclusive ? input.data > check.value : input.data >= check.value;
+        if (tooBig) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.too_big,
+            type: "bigint",
+            maximum: check.value,
+            inclusive: check.inclusive,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "multipleOf") {
+        if (input.data % check.value !== BigInt(0)) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.not_multiple_of,
+            multipleOf: check.value,
+            message: check.message
+          });
+          status.dirty();
+        }
+      } else {
+        util.assertNever(check);
+      }
+    }
+    return { status: status.value, value: input.data };
+  }
+  gte(value3, message3) {
+    return this.setLimit("min", value3, true, errorUtil.toString(message3));
+  }
+  gt(value3, message3) {
+    return this.setLimit("min", value3, false, errorUtil.toString(message3));
+  }
+  lte(value3, message3) {
+    return this.setLimit("max", value3, true, errorUtil.toString(message3));
+  }
+  lt(value3, message3) {
+    return this.setLimit("max", value3, false, errorUtil.toString(message3));
+  }
+  setLimit(kind, value3, inclusive, message3) {
+    return new ZodBigInt({
+      ...this._def,
+      checks: [
+        ...this._def.checks,
+        {
+          kind,
+          value: value3,
+          inclusive,
+          message: errorUtil.toString(message3)
+        }
+      ]
+    });
+  }
+  _addCheck(check) {
+    return new ZodBigInt({
+      ...this._def,
+      checks: [...this._def.checks, check]
+    });
+  }
+  positive(message3) {
+    return this._addCheck({
+      kind: "min",
+      value: BigInt(0),
+      inclusive: false,
+      message: errorUtil.toString(message3)
+    });
+  }
+  negative(message3) {
+    return this._addCheck({
+      kind: "max",
+      value: BigInt(0),
+      inclusive: false,
+      message: errorUtil.toString(message3)
+    });
+  }
+  nonpositive(message3) {
+    return this._addCheck({
+      kind: "max",
+      value: BigInt(0),
+      inclusive: true,
+      message: errorUtil.toString(message3)
+    });
+  }
+  nonnegative(message3) {
+    return this._addCheck({
+      kind: "min",
+      value: BigInt(0),
+      inclusive: true,
+      message: errorUtil.toString(message3)
+    });
+  }
+  multipleOf(value3, message3) {
+    return this._addCheck({
+      kind: "multipleOf",
+      value: value3,
+      message: errorUtil.toString(message3)
+    });
+  }
+  get minValue() {
+    let min = null;
+    for (const ch of this._def.checks) {
+      if (ch.kind === "min") {
+        if (min === null || ch.value > min)
+          min = ch.value;
+      }
+    }
+    return min;
+  }
+  get maxValue() {
+    let max = null;
+    for (const ch of this._def.checks) {
+      if (ch.kind === "max") {
+        if (max === null || ch.value < max)
+          max = ch.value;
+      }
+    }
+    return max;
+  }
+}
+ZodBigInt.create = (params) => {
+  var _a;
+  return new ZodBigInt({
+    checks: [],
+    typeName: ZodFirstPartyTypeKind.ZodBigInt,
+    coerce: (_a = params === null || params === void 0 ? void 0 : params.coerce) !== null && _a !== void 0 ? _a : false,
+    ...processCreateParams(params)
+  });
+};
+class ZodBoolean extends ZodType {
+  static {
+    __name(this, "ZodBoolean");
+  }
+  _parse(input) {
+    if (this._def.coerce) {
+      input.data = Boolean(input.data);
+    }
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.boolean) {
+      const ctx = this._getOrReturnCtx(input);
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.boolean,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    return OK(input.data);
+  }
+}
+ZodBoolean.create = (params) => {
+  return new ZodBoolean({
+    typeName: ZodFirstPartyTypeKind.ZodBoolean,
+    coerce: (params === null || params === void 0 ? void 0 : params.coerce) || false,
+    ...processCreateParams(params)
+  });
+};
+class ZodDate extends ZodType {
+  static {
+    __name(this, "ZodDate");
+  }
+  _parse(input) {
+    if (this._def.coerce) {
+      input.data = new Date(input.data);
+    }
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.date) {
+      const ctx2 = this._getOrReturnCtx(input);
+      addIssueToContext(ctx2, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.date,
+        received: ctx2.parsedType
+      });
+      return INVALID;
+    }
+    if (isNaN(input.data.getTime())) {
+      const ctx2 = this._getOrReturnCtx(input);
+      addIssueToContext(ctx2, {
+        code: ZodIssueCode.invalid_date
+      });
+      return INVALID;
+    }
+    const status = new ParseStatus();
+    let ctx = void 0;
+    for (const check of this._def.checks) {
+      if (check.kind === "min") {
+        if (input.data.getTime() < check.value) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.too_small,
+            message: check.message,
+            inclusive: true,
+            exact: false,
+            minimum: check.value,
+            type: "date"
+          });
+          status.dirty();
+        }
+      } else if (check.kind === "max") {
+        if (input.data.getTime() > check.value) {
+          ctx = this._getOrReturnCtx(input, ctx);
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.too_big,
+            message: check.message,
+            inclusive: true,
+            exact: false,
+            maximum: check.value,
+            type: "date"
+          });
+          status.dirty();
+        }
+      } else {
+        util.assertNever(check);
+      }
+    }
+    return {
+      status: status.value,
+      value: new Date(input.data.getTime())
+    };
+  }
+  _addCheck(check) {
+    return new ZodDate({
+      ...this._def,
+      checks: [...this._def.checks, check]
+    });
+  }
+  min(minDate, message3) {
+    return this._addCheck({
+      kind: "min",
+      value: minDate.getTime(),
+      message: errorUtil.toString(message3)
+    });
+  }
+  max(maxDate, message3) {
+    return this._addCheck({
+      kind: "max",
+      value: maxDate.getTime(),
+      message: errorUtil.toString(message3)
+    });
+  }
+  get minDate() {
+    let min = null;
+    for (const ch of this._def.checks) {
+      if (ch.kind === "min") {
+        if (min === null || ch.value > min)
+          min = ch.value;
+      }
+    }
+    return min != null ? new Date(min) : null;
+  }
+  get maxDate() {
+    let max = null;
+    for (const ch of this._def.checks) {
+      if (ch.kind === "max") {
+        if (max === null || ch.value < max)
+          max = ch.value;
+      }
+    }
+    return max != null ? new Date(max) : null;
+  }
+}
+ZodDate.create = (params) => {
+  return new ZodDate({
+    checks: [],
+    coerce: (params === null || params === void 0 ? void 0 : params.coerce) || false,
+    typeName: ZodFirstPartyTypeKind.ZodDate,
+    ...processCreateParams(params)
+  });
+};
+class ZodSymbol extends ZodType {
+  static {
+    __name(this, "ZodSymbol");
+  }
+  _parse(input) {
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.symbol) {
+      const ctx = this._getOrReturnCtx(input);
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.symbol,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    return OK(input.data);
+  }
+}
+ZodSymbol.create = (params) => {
+  return new ZodSymbol({
+    typeName: ZodFirstPartyTypeKind.ZodSymbol,
+    ...processCreateParams(params)
+  });
+};
+class ZodUndefined extends ZodType {
+  static {
+    __name(this, "ZodUndefined");
+  }
+  _parse(input) {
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.undefined) {
+      const ctx = this._getOrReturnCtx(input);
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.undefined,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    return OK(input.data);
+  }
+}
+ZodUndefined.create = (params) => {
+  return new ZodUndefined({
+    typeName: ZodFirstPartyTypeKind.ZodUndefined,
+    ...processCreateParams(params)
+  });
+};
+class ZodNull extends ZodType {
+  static {
+    __name(this, "ZodNull");
+  }
+  _parse(input) {
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.null) {
+      const ctx = this._getOrReturnCtx(input);
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.null,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    return OK(input.data);
+  }
+}
+ZodNull.create = (params) => {
+  return new ZodNull({
+    typeName: ZodFirstPartyTypeKind.ZodNull,
+    ...processCreateParams(params)
+  });
+};
+class ZodAny extends ZodType {
+  static {
+    __name(this, "ZodAny");
+  }
+  constructor() {
+    super(...arguments);
+    this._any = true;
+  }
+  _parse(input) {
+    return OK(input.data);
+  }
+}
+ZodAny.create = (params) => {
+  return new ZodAny({
+    typeName: ZodFirstPartyTypeKind.ZodAny,
+    ...processCreateParams(params)
+  });
+};
+class ZodUnknown extends ZodType {
+  static {
+    __name(this, "ZodUnknown");
+  }
+  constructor() {
+    super(...arguments);
+    this._unknown = true;
+  }
+  _parse(input) {
+    return OK(input.data);
+  }
+}
+ZodUnknown.create = (params) => {
+  return new ZodUnknown({
+    typeName: ZodFirstPartyTypeKind.ZodUnknown,
+    ...processCreateParams(params)
+  });
+};
+class ZodNever extends ZodType {
+  static {
+    __name(this, "ZodNever");
+  }
+  _parse(input) {
+    const ctx = this._getOrReturnCtx(input);
+    addIssueToContext(ctx, {
+      code: ZodIssueCode.invalid_type,
+      expected: ZodParsedType.never,
+      received: ctx.parsedType
+    });
+    return INVALID;
+  }
+}
+ZodNever.create = (params) => {
+  return new ZodNever({
+    typeName: ZodFirstPartyTypeKind.ZodNever,
+    ...processCreateParams(params)
+  });
+};
+class ZodVoid extends ZodType {
+  static {
+    __name(this, "ZodVoid");
+  }
+  _parse(input) {
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.undefined) {
+      const ctx = this._getOrReturnCtx(input);
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.void,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    return OK(input.data);
+  }
+}
+ZodVoid.create = (params) => {
+  return new ZodVoid({
+    typeName: ZodFirstPartyTypeKind.ZodVoid,
+    ...processCreateParams(params)
+  });
+};
+class ZodArray extends ZodType {
+  static {
+    __name(this, "ZodArray");
+  }
+  _parse(input) {
+    const { ctx, status } = this._processInputParams(input);
+    const def2 = this._def;
+    if (ctx.parsedType !== ZodParsedType.array) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.array,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    if (def2.exactLength !== null) {
+      const tooBig = ctx.data.length > def2.exactLength.value;
+      const tooSmall = ctx.data.length < def2.exactLength.value;
+      if (tooBig || tooSmall) {
+        addIssueToContext(ctx, {
+          code: tooBig ? ZodIssueCode.too_big : ZodIssueCode.too_small,
+          minimum: tooSmall ? def2.exactLength.value : void 0,
+          maximum: tooBig ? def2.exactLength.value : void 0,
+          type: "array",
+          inclusive: true,
+          exact: true,
+          message: def2.exactLength.message
+        });
+        status.dirty();
+      }
+    }
+    if (def2.minLength !== null) {
+      if (ctx.data.length < def2.minLength.value) {
+        addIssueToContext(ctx, {
+          code: ZodIssueCode.too_small,
+          minimum: def2.minLength.value,
+          type: "array",
+          inclusive: true,
+          exact: false,
+          message: def2.minLength.message
+        });
+        status.dirty();
+      }
+    }
+    if (def2.maxLength !== null) {
+      if (ctx.data.length > def2.maxLength.value) {
+        addIssueToContext(ctx, {
+          code: ZodIssueCode.too_big,
+          maximum: def2.maxLength.value,
+          type: "array",
+          inclusive: true,
+          exact: false,
+          message: def2.maxLength.message
+        });
+        status.dirty();
+      }
+    }
+    if (ctx.common.async) {
+      return Promise.all([...ctx.data].map((item2, i2) => {
+        return def2.type._parseAsync(new ParseInputLazyPath(ctx, item2, ctx.path, i2));
+      })).then((result2) => {
+        return ParseStatus.mergeArray(status, result2);
+      });
+    }
+    const result = [...ctx.data].map((item2, i2) => {
+      return def2.type._parseSync(new ParseInputLazyPath(ctx, item2, ctx.path, i2));
+    });
+    return ParseStatus.mergeArray(status, result);
+  }
+  get element() {
+    return this._def.type;
+  }
+  min(minLength, message3) {
+    return new ZodArray({
+      ...this._def,
+      minLength: { value: minLength, message: errorUtil.toString(message3) }
+    });
+  }
+  max(maxLength, message3) {
+    return new ZodArray({
+      ...this._def,
+      maxLength: { value: maxLength, message: errorUtil.toString(message3) }
+    });
+  }
+  length(len, message3) {
+    return new ZodArray({
+      ...this._def,
+      exactLength: { value: len, message: errorUtil.toString(message3) }
+    });
+  }
+  nonempty(message3) {
+    return this.min(1, message3);
+  }
+}
+ZodArray.create = (schema, params) => {
+  return new ZodArray({
+    type: schema,
+    minLength: null,
+    maxLength: null,
+    exactLength: null,
+    typeName: ZodFirstPartyTypeKind.ZodArray,
+    ...processCreateParams(params)
+  });
+};
+function deepPartialify(schema) {
+  if (schema instanceof ZodObject) {
+    const newShape = {};
+    for (const key in schema.shape) {
+      const fieldSchema = schema.shape[key];
+      newShape[key] = ZodOptional.create(deepPartialify(fieldSchema));
+    }
+    return new ZodObject({
+      ...schema._def,
+      shape: /* @__PURE__ */ __name(() => newShape, "shape")
+    });
+  } else if (schema instanceof ZodArray) {
+    return new ZodArray({
+      ...schema._def,
+      type: deepPartialify(schema.element)
+    });
+  } else if (schema instanceof ZodOptional) {
+    return ZodOptional.create(deepPartialify(schema.unwrap()));
+  } else if (schema instanceof ZodNullable) {
+    return ZodNullable.create(deepPartialify(schema.unwrap()));
+  } else if (schema instanceof ZodTuple) {
+    return ZodTuple.create(schema.items.map((item2) => deepPartialify(item2)));
+  } else {
+    return schema;
+  }
+}
+__name(deepPartialify, "deepPartialify");
+class ZodObject extends ZodType {
+  static {
+    __name(this, "ZodObject");
+  }
+  constructor() {
+    super(...arguments);
+    this._cached = null;
+    this.nonstrict = this.passthrough;
+    this.augment = this.extend;
+  }
+  _getCached() {
+    if (this._cached !== null)
+      return this._cached;
+    const shape = this._def.shape();
+    const keys2 = util.objectKeys(shape);
+    return this._cached = { shape, keys: keys2 };
+  }
+  _parse(input) {
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.object) {
+      const ctx2 = this._getOrReturnCtx(input);
+      addIssueToContext(ctx2, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.object,
+        received: ctx2.parsedType
+      });
+      return INVALID;
+    }
+    const { status, ctx } = this._processInputParams(input);
+    const { shape, keys: shapeKeys } = this._getCached();
+    const extraKeys = [];
+    if (!(this._def.catchall instanceof ZodNever && this._def.unknownKeys === "strip")) {
+      for (const key in ctx.data) {
+        if (!shapeKeys.includes(key)) {
+          extraKeys.push(key);
+        }
+      }
+    }
+    const pairs = [];
+    for (const key of shapeKeys) {
+      const keyValidator = shape[key];
+      const value3 = ctx.data[key];
+      pairs.push({
+        key: { status: "valid", value: key },
+        value: keyValidator._parse(new ParseInputLazyPath(ctx, value3, ctx.path, key)),
+        alwaysSet: key in ctx.data
+      });
+    }
+    if (this._def.catchall instanceof ZodNever) {
+      const unknownKeys = this._def.unknownKeys;
+      if (unknownKeys === "passthrough") {
+        for (const key of extraKeys) {
+          pairs.push({
+            key: { status: "valid", value: key },
+            value: { status: "valid", value: ctx.data[key] }
+          });
+        }
+      } else if (unknownKeys === "strict") {
+        if (extraKeys.length > 0) {
+          addIssueToContext(ctx, {
+            code: ZodIssueCode.unrecognized_keys,
+            keys: extraKeys
+          });
+          status.dirty();
+        }
+      } else if (unknownKeys === "strip") ;
+      else {
+        throw new Error(`Internal ZodObject error: invalid unknownKeys value.`);
+      }
+    } else {
+      const catchall = this._def.catchall;
+      for (const key of extraKeys) {
+        const value3 = ctx.data[key];
+        pairs.push({
+          key: { status: "valid", value: key },
+          value: catchall._parse(
+            new ParseInputLazyPath(ctx, value3, ctx.path, key)
+            //, ctx.child(key), value, getParsedType(value)
+          ),
+          alwaysSet: key in ctx.data
+        });
+      }
+    }
+    if (ctx.common.async) {
+      return Promise.resolve().then(async () => {
+        const syncPairs = [];
+        for (const pair of pairs) {
+          const key = await pair.key;
+          const value3 = await pair.value;
+          syncPairs.push({
+            key,
+            value: value3,
+            alwaysSet: pair.alwaysSet
+          });
+        }
+        return syncPairs;
+      }).then((syncPairs) => {
+        return ParseStatus.mergeObjectSync(status, syncPairs);
+      });
+    } else {
+      return ParseStatus.mergeObjectSync(status, pairs);
+    }
+  }
+  get shape() {
+    return this._def.shape();
+  }
+  strict(message3) {
+    errorUtil.errToObj;
+    return new ZodObject({
+      ...this._def,
+      unknownKeys: "strict",
+      ...message3 !== void 0 ? {
+        errorMap: /* @__PURE__ */ __name((issue, ctx) => {
+          var _a, _b, _c, _d;
+          const defaultError = (_c = (_b = (_a = this._def).errorMap) === null || _b === void 0 ? void 0 : _b.call(_a, issue, ctx).message) !== null && _c !== void 0 ? _c : ctx.defaultError;
+          if (issue.code === "unrecognized_keys")
+            return {
+              message: (_d = errorUtil.errToObj(message3).message) !== null && _d !== void 0 ? _d : defaultError
+            };
+          return {
+            message: defaultError
+          };
+        }, "errorMap")
+      } : {}
+    });
+  }
+  strip() {
+    return new ZodObject({
+      ...this._def,
+      unknownKeys: "strip"
+    });
+  }
+  passthrough() {
+    return new ZodObject({
+      ...this._def,
+      unknownKeys: "passthrough"
+    });
+  }
+  // const AugmentFactory =
+  //   <Def extends ZodObjectDef>(def: Def) =>
+  //   <Augmentation extends ZodRawShape>(
+  //     augmentation: Augmentation
+  //   ): ZodObject<
+  //     extendShape<ReturnType<Def["shape"]>, Augmentation>,
+  //     Def["unknownKeys"],
+  //     Def["catchall"]
+  //   > => {
+  //     return new ZodObject({
+  //       ...def,
+  //       shape: () => ({
+  //         ...def.shape(),
+  //         ...augmentation,
+  //       }),
+  //     }) as any;
+  //   };
+  extend(augmentation) {
+    return new ZodObject({
+      ...this._def,
+      shape: /* @__PURE__ */ __name(() => ({
+        ...this._def.shape(),
+        ...augmentation
+      }), "shape")
+    });
+  }
+  /**
+   * Prior to zod@1.0.12 there was a bug in the
+   * inferred type of merged objects. Please
+   * upgrade if you are experiencing issues.
+   */
+  merge(merging) {
+    const merged = new ZodObject({
+      unknownKeys: merging._def.unknownKeys,
+      catchall: merging._def.catchall,
+      shape: /* @__PURE__ */ __name(() => ({
+        ...this._def.shape(),
+        ...merging._def.shape()
+      }), "shape"),
+      typeName: ZodFirstPartyTypeKind.ZodObject
+    });
+    return merged;
+  }
+  // merge<
+  //   Incoming extends AnyZodObject,
+  //   Augmentation extends Incoming["shape"],
+  //   NewOutput extends {
+  //     [k in keyof Augmentation | keyof Output]: k extends keyof Augmentation
+  //       ? Augmentation[k]["_output"]
+  //       : k extends keyof Output
+  //       ? Output[k]
+  //       : never;
+  //   },
+  //   NewInput extends {
+  //     [k in keyof Augmentation | keyof Input]: k extends keyof Augmentation
+  //       ? Augmentation[k]["_input"]
+  //       : k extends keyof Input
+  //       ? Input[k]
+  //       : never;
+  //   }
+  // >(
+  //   merging: Incoming
+  // ): ZodObject<
+  //   extendShape<T, ReturnType<Incoming["_def"]["shape"]>>,
+  //   Incoming["_def"]["unknownKeys"],
+  //   Incoming["_def"]["catchall"],
+  //   NewOutput,
+  //   NewInput
+  // > {
+  //   const merged: any = new ZodObject({
+  //     unknownKeys: merging._def.unknownKeys,
+  //     catchall: merging._def.catchall,
+  //     shape: () =>
+  //       objectUtil.mergeShapes(this._def.shape(), merging._def.shape()),
+  //     typeName: ZodFirstPartyTypeKind.ZodObject,
+  //   }) as any;
+  //   return merged;
+  // }
+  setKey(key, schema) {
+    return this.augment({ [key]: schema });
+  }
+  // merge<Incoming extends AnyZodObject>(
+  //   merging: Incoming
+  // ): //ZodObject<T & Incoming["_shape"], UnknownKeys, Catchall> = (merging) => {
+  // ZodObject<
+  //   extendShape<T, ReturnType<Incoming["_def"]["shape"]>>,
+  //   Incoming["_def"]["unknownKeys"],
+  //   Incoming["_def"]["catchall"]
+  // > {
+  //   // const mergedShape = objectUtil.mergeShapes(
+  //   //   this._def.shape(),
+  //   //   merging._def.shape()
+  //   // );
+  //   const merged: any = new ZodObject({
+  //     unknownKeys: merging._def.unknownKeys,
+  //     catchall: merging._def.catchall,
+  //     shape: () =>
+  //       objectUtil.mergeShapes(this._def.shape(), merging._def.shape()),
+  //     typeName: ZodFirstPartyTypeKind.ZodObject,
+  //   }) as any;
+  //   return merged;
+  // }
+  catchall(index2) {
+    return new ZodObject({
+      ...this._def,
+      catchall: index2
+    });
+  }
+  pick(mask3) {
+    const shape = {};
+    util.objectKeys(mask3).forEach((key) => {
+      if (mask3[key] && this.shape[key]) {
+        shape[key] = this.shape[key];
+      }
+    });
+    return new ZodObject({
+      ...this._def,
+      shape: /* @__PURE__ */ __name(() => shape, "shape")
+    });
+  }
+  omit(mask3) {
+    const shape = {};
+    util.objectKeys(this.shape).forEach((key) => {
+      if (!mask3[key]) {
+        shape[key] = this.shape[key];
+      }
+    });
+    return new ZodObject({
+      ...this._def,
+      shape: /* @__PURE__ */ __name(() => shape, "shape")
+    });
+  }
+  /**
+   * @deprecated
+   */
+  deepPartial() {
+    return deepPartialify(this);
+  }
+  partial(mask3) {
+    const newShape = {};
+    util.objectKeys(this.shape).forEach((key) => {
+      const fieldSchema = this.shape[key];
+      if (mask3 && !mask3[key]) {
+        newShape[key] = fieldSchema;
+      } else {
+        newShape[key] = fieldSchema.optional();
+      }
+    });
+    return new ZodObject({
+      ...this._def,
+      shape: /* @__PURE__ */ __name(() => newShape, "shape")
+    });
+  }
+  required(mask3) {
+    const newShape = {};
+    util.objectKeys(this.shape).forEach((key) => {
+      if (mask3 && !mask3[key]) {
+        newShape[key] = this.shape[key];
+      } else {
+        const fieldSchema = this.shape[key];
+        let newField = fieldSchema;
+        while (newField instanceof ZodOptional) {
+          newField = newField._def.innerType;
+        }
+        newShape[key] = newField;
+      }
+    });
+    return new ZodObject({
+      ...this._def,
+      shape: /* @__PURE__ */ __name(() => newShape, "shape")
+    });
+  }
+  keyof() {
+    return createZodEnum(util.objectKeys(this.shape));
+  }
+}
+ZodObject.create = (shape, params) => {
+  return new ZodObject({
+    shape: /* @__PURE__ */ __name(() => shape, "shape"),
+    unknownKeys: "strip",
+    catchall: ZodNever.create(),
+    typeName: ZodFirstPartyTypeKind.ZodObject,
+    ...processCreateParams(params)
+  });
+};
+ZodObject.strictCreate = (shape, params) => {
+  return new ZodObject({
+    shape: /* @__PURE__ */ __name(() => shape, "shape"),
+    unknownKeys: "strict",
+    catchall: ZodNever.create(),
+    typeName: ZodFirstPartyTypeKind.ZodObject,
+    ...processCreateParams(params)
+  });
+};
+ZodObject.lazycreate = (shape, params) => {
+  return new ZodObject({
+    shape,
+    unknownKeys: "strip",
+    catchall: ZodNever.create(),
+    typeName: ZodFirstPartyTypeKind.ZodObject,
+    ...processCreateParams(params)
+  });
+};
+class ZodUnion extends ZodType {
+  static {
+    __name(this, "ZodUnion");
+  }
+  _parse(input) {
+    const { ctx } = this._processInputParams(input);
+    const options3 = this._def.options;
+    function handleResults(results) {
+      for (const result of results) {
+        if (result.result.status === "valid") {
+          return result.result;
+        }
+      }
+      for (const result of results) {
+        if (result.result.status === "dirty") {
+          ctx.common.issues.push(...result.ctx.common.issues);
+          return result.result;
+        }
+      }
+      const unionErrors = results.map((result) => new ZodError(result.ctx.common.issues));
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_union,
+        unionErrors
+      });
+      return INVALID;
+    }
+    __name(handleResults, "handleResults");
+    if (ctx.common.async) {
+      return Promise.all(options3.map(async (option4) => {
+        const childCtx = {
+          ...ctx,
+          common: {
+            ...ctx.common,
+            issues: []
+          },
+          parent: null
+        };
+        return {
+          result: await option4._parseAsync({
+            data: ctx.data,
+            path: ctx.path,
+            parent: childCtx
+          }),
+          ctx: childCtx
+        };
+      })).then(handleResults);
+    } else {
+      let dirty = void 0;
+      const issues = [];
+      for (const option4 of options3) {
+        const childCtx = {
+          ...ctx,
+          common: {
+            ...ctx.common,
+            issues: []
+          },
+          parent: null
+        };
+        const result = option4._parseSync({
+          data: ctx.data,
+          path: ctx.path,
+          parent: childCtx
+        });
+        if (result.status === "valid") {
+          return result;
+        } else if (result.status === "dirty" && !dirty) {
+          dirty = { result, ctx: childCtx };
+        }
+        if (childCtx.common.issues.length) {
+          issues.push(childCtx.common.issues);
+        }
+      }
+      if (dirty) {
+        ctx.common.issues.push(...dirty.ctx.common.issues);
+        return dirty.result;
+      }
+      const unionErrors = issues.map((issues2) => new ZodError(issues2));
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_union,
+        unionErrors
+      });
+      return INVALID;
+    }
+  }
+  get options() {
+    return this._def.options;
+  }
+}
+ZodUnion.create = (types, params) => {
+  return new ZodUnion({
+    options: types,
+    typeName: ZodFirstPartyTypeKind.ZodUnion,
+    ...processCreateParams(params)
+  });
+};
+const getDiscriminator = /* @__PURE__ */ __name((type) => {
+  if (type instanceof ZodLazy) {
+    return getDiscriminator(type.schema);
+  } else if (type instanceof ZodEffects) {
+    return getDiscriminator(type.innerType());
+  } else if (type instanceof ZodLiteral) {
+    return [type.value];
+  } else if (type instanceof ZodEnum) {
+    return type.options;
+  } else if (type instanceof ZodNativeEnum) {
+    return util.objectValues(type.enum);
+  } else if (type instanceof ZodDefault) {
+    return getDiscriminator(type._def.innerType);
+  } else if (type instanceof ZodUndefined) {
+    return [void 0];
+  } else if (type instanceof ZodNull) {
+    return [null];
+  } else if (type instanceof ZodOptional) {
+    return [void 0, ...getDiscriminator(type.unwrap())];
+  } else if (type instanceof ZodNullable) {
+    return [null, ...getDiscriminator(type.unwrap())];
+  } else if (type instanceof ZodBranded) {
+    return getDiscriminator(type.unwrap());
+  } else if (type instanceof ZodReadonly) {
+    return getDiscriminator(type.unwrap());
+  } else if (type instanceof ZodCatch) {
+    return getDiscriminator(type._def.innerType);
+  } else {
+    return [];
+  }
+}, "getDiscriminator");
+class ZodDiscriminatedUnion extends ZodType {
+  static {
+    __name(this, "ZodDiscriminatedUnion");
+  }
+  _parse(input) {
+    const { ctx } = this._processInputParams(input);
+    if (ctx.parsedType !== ZodParsedType.object) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.object,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    const discriminator = this.discriminator;
+    const discriminatorValue = ctx.data[discriminator];
+    const option4 = this.optionsMap.get(discriminatorValue);
+    if (!option4) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_union_discriminator,
+        options: Array.from(this.optionsMap.keys()),
+        path: [discriminator]
+      });
+      return INVALID;
+    }
+    if (ctx.common.async) {
+      return option4._parseAsync({
+        data: ctx.data,
+        path: ctx.path,
+        parent: ctx
+      });
+    } else {
+      return option4._parseSync({
+        data: ctx.data,
+        path: ctx.path,
+        parent: ctx
+      });
+    }
+  }
+  get discriminator() {
+    return this._def.discriminator;
+  }
+  get options() {
+    return this._def.options;
+  }
+  get optionsMap() {
+    return this._def.optionsMap;
+  }
+  /**
+   * The constructor of the discriminated union schema. Its behaviour is very similar to that of the normal z.union() constructor.
+   * However, it only allows a union of objects, all of which need to share a discriminator property. This property must
+   * have a different value for each object in the union.
+   * @param discriminator the name of the discriminator property
+   * @param types an array of object schemas
+   * @param params
+   */
+  static create(discriminator, options3, params) {
+    const optionsMap = /* @__PURE__ */ new Map();
+    for (const type of options3) {
+      const discriminatorValues = getDiscriminator(type.shape[discriminator]);
+      if (!discriminatorValues.length) {
+        throw new Error(`A discriminator value for key \`${discriminator}\` could not be extracted from all schema options`);
+      }
+      for (const value3 of discriminatorValues) {
+        if (optionsMap.has(value3)) {
+          throw new Error(`Discriminator property ${String(discriminator)} has duplicate value ${String(value3)}`);
+        }
+        optionsMap.set(value3, type);
+      }
+    }
+    return new ZodDiscriminatedUnion({
+      typeName: ZodFirstPartyTypeKind.ZodDiscriminatedUnion,
+      discriminator,
+      options: options3,
+      optionsMap,
+      ...processCreateParams(params)
+    });
+  }
+}
+function mergeValues(a, b) {
+  const aType = getParsedType(a);
+  const bType = getParsedType(b);
+  if (a === b) {
+    return { valid: true, data: a };
+  } else if (aType === ZodParsedType.object && bType === ZodParsedType.object) {
+    const bKeys = util.objectKeys(b);
+    const sharedKeys = util.objectKeys(a).filter((key) => bKeys.indexOf(key) !== -1);
+    const newObj = { ...a, ...b };
+    for (const key of sharedKeys) {
+      const sharedValue = mergeValues(a[key], b[key]);
+      if (!sharedValue.valid) {
+        return { valid: false };
+      }
+      newObj[key] = sharedValue.data;
+    }
+    return { valid: true, data: newObj };
+  } else if (aType === ZodParsedType.array && bType === ZodParsedType.array) {
+    if (a.length !== b.length) {
+      return { valid: false };
+    }
+    const newArray = [];
+    for (let index2 = 0; index2 < a.length; index2++) {
+      const itemA = a[index2];
+      const itemB = b[index2];
+      const sharedValue = mergeValues(itemA, itemB);
+      if (!sharedValue.valid) {
+        return { valid: false };
+      }
+      newArray.push(sharedValue.data);
+    }
+    return { valid: true, data: newArray };
+  } else if (aType === ZodParsedType.date && bType === ZodParsedType.date && +a === +b) {
+    return { valid: true, data: a };
+  } else {
+    return { valid: false };
+  }
+}
+__name(mergeValues, "mergeValues");
+class ZodIntersection extends ZodType {
+  static {
+    __name(this, "ZodIntersection");
+  }
+  _parse(input) {
+    const { status, ctx } = this._processInputParams(input);
+    const handleParsed = /* @__PURE__ */ __name((parsedLeft, parsedRight) => {
+      if (isAborted(parsedLeft) || isAborted(parsedRight)) {
+        return INVALID;
+      }
+      const merged = mergeValues(parsedLeft.value, parsedRight.value);
+      if (!merged.valid) {
+        addIssueToContext(ctx, {
+          code: ZodIssueCode.invalid_intersection_types
+        });
+        return INVALID;
+      }
+      if (isDirty(parsedLeft) || isDirty(parsedRight)) {
+        status.dirty();
+      }
+      return { status: status.value, value: merged.data };
+    }, "handleParsed");
+    if (ctx.common.async) {
+      return Promise.all([
+        this._def.left._parseAsync({
+          data: ctx.data,
+          path: ctx.path,
+          parent: ctx
+        }),
+        this._def.right._parseAsync({
+          data: ctx.data,
+          path: ctx.path,
+          parent: ctx
+        })
+      ]).then(([left, right]) => handleParsed(left, right));
+    } else {
+      return handleParsed(this._def.left._parseSync({
+        data: ctx.data,
+        path: ctx.path,
+        parent: ctx
+      }), this._def.right._parseSync({
+        data: ctx.data,
+        path: ctx.path,
+        parent: ctx
+      }));
+    }
+  }
+}
+ZodIntersection.create = (left, right, params) => {
+  return new ZodIntersection({
+    left,
+    right,
+    typeName: ZodFirstPartyTypeKind.ZodIntersection,
+    ...processCreateParams(params)
+  });
+};
+class ZodTuple extends ZodType {
+  static {
+    __name(this, "ZodTuple");
+  }
+  _parse(input) {
+    const { status, ctx } = this._processInputParams(input);
+    if (ctx.parsedType !== ZodParsedType.array) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.array,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    if (ctx.data.length < this._def.items.length) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.too_small,
+        minimum: this._def.items.length,
+        inclusive: true,
+        exact: false,
+        type: "array"
+      });
+      return INVALID;
+    }
+    const rest = this._def.rest;
+    if (!rest && ctx.data.length > this._def.items.length) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.too_big,
+        maximum: this._def.items.length,
+        inclusive: true,
+        exact: false,
+        type: "array"
+      });
+      status.dirty();
+    }
+    const items2 = [...ctx.data].map((item2, itemIndex) => {
+      const schema = this._def.items[itemIndex] || this._def.rest;
+      if (!schema)
+        return null;
+      return schema._parse(new ParseInputLazyPath(ctx, item2, ctx.path, itemIndex));
+    }).filter((x2) => !!x2);
+    if (ctx.common.async) {
+      return Promise.all(items2).then((results) => {
+        return ParseStatus.mergeArray(status, results);
+      });
+    } else {
+      return ParseStatus.mergeArray(status, items2);
+    }
+  }
+  get items() {
+    return this._def.items;
+  }
+  rest(rest) {
+    return new ZodTuple({
+      ...this._def,
+      rest
+    });
+  }
+}
+ZodTuple.create = (schemas, params) => {
+  if (!Array.isArray(schemas)) {
+    throw new Error("You must pass an array of schemas to z.tuple([ ... ])");
+  }
+  return new ZodTuple({
+    items: schemas,
+    typeName: ZodFirstPartyTypeKind.ZodTuple,
+    rest: null,
+    ...processCreateParams(params)
+  });
+};
+class ZodRecord extends ZodType {
+  static {
+    __name(this, "ZodRecord");
+  }
+  get keySchema() {
+    return this._def.keyType;
+  }
+  get valueSchema() {
+    return this._def.valueType;
+  }
+  _parse(input) {
+    const { status, ctx } = this._processInputParams(input);
+    if (ctx.parsedType !== ZodParsedType.object) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.object,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    const pairs = [];
+    const keyType = this._def.keyType;
+    const valueType = this._def.valueType;
+    for (const key in ctx.data) {
+      pairs.push({
+        key: keyType._parse(new ParseInputLazyPath(ctx, key, ctx.path, key)),
+        value: valueType._parse(new ParseInputLazyPath(ctx, ctx.data[key], ctx.path, key)),
+        alwaysSet: key in ctx.data
+      });
+    }
+    if (ctx.common.async) {
+      return ParseStatus.mergeObjectAsync(status, pairs);
+    } else {
+      return ParseStatus.mergeObjectSync(status, pairs);
+    }
+  }
+  get element() {
+    return this._def.valueType;
+  }
+  static create(first, second, third) {
+    if (second instanceof ZodType) {
+      return new ZodRecord({
+        keyType: first,
+        valueType: second,
+        typeName: ZodFirstPartyTypeKind.ZodRecord,
+        ...processCreateParams(third)
+      });
+    }
+    return new ZodRecord({
+      keyType: ZodString.create(),
+      valueType: first,
+      typeName: ZodFirstPartyTypeKind.ZodRecord,
+      ...processCreateParams(second)
+    });
+  }
+}
+class ZodMap extends ZodType {
+  static {
+    __name(this, "ZodMap");
+  }
+  get keySchema() {
+    return this._def.keyType;
+  }
+  get valueSchema() {
+    return this._def.valueType;
+  }
+  _parse(input) {
+    const { status, ctx } = this._processInputParams(input);
+    if (ctx.parsedType !== ZodParsedType.map) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.map,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    const keyType = this._def.keyType;
+    const valueType = this._def.valueType;
+    const pairs = [...ctx.data.entries()].map(([key, value3], index2) => {
+      return {
+        key: keyType._parse(new ParseInputLazyPath(ctx, key, ctx.path, [index2, "key"])),
+        value: valueType._parse(new ParseInputLazyPath(ctx, value3, ctx.path, [index2, "value"]))
+      };
+    });
+    if (ctx.common.async) {
+      const finalMap = /* @__PURE__ */ new Map();
+      return Promise.resolve().then(async () => {
+        for (const pair of pairs) {
+          const key = await pair.key;
+          const value3 = await pair.value;
+          if (key.status === "aborted" || value3.status === "aborted") {
+            return INVALID;
+          }
+          if (key.status === "dirty" || value3.status === "dirty") {
+            status.dirty();
+          }
+          finalMap.set(key.value, value3.value);
+        }
+        return { status: status.value, value: finalMap };
+      });
+    } else {
+      const finalMap = /* @__PURE__ */ new Map();
+      for (const pair of pairs) {
+        const key = pair.key;
+        const value3 = pair.value;
+        if (key.status === "aborted" || value3.status === "aborted") {
+          return INVALID;
+        }
+        if (key.status === "dirty" || value3.status === "dirty") {
+          status.dirty();
+        }
+        finalMap.set(key.value, value3.value);
+      }
+      return { status: status.value, value: finalMap };
+    }
+  }
+}
+ZodMap.create = (keyType, valueType, params) => {
+  return new ZodMap({
+    valueType,
+    keyType,
+    typeName: ZodFirstPartyTypeKind.ZodMap,
+    ...processCreateParams(params)
+  });
+};
+class ZodSet extends ZodType {
+  static {
+    __name(this, "ZodSet");
+  }
+  _parse(input) {
+    const { status, ctx } = this._processInputParams(input);
+    if (ctx.parsedType !== ZodParsedType.set) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.set,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    const def2 = this._def;
+    if (def2.minSize !== null) {
+      if (ctx.data.size < def2.minSize.value) {
+        addIssueToContext(ctx, {
+          code: ZodIssueCode.too_small,
+          minimum: def2.minSize.value,
+          type: "set",
+          inclusive: true,
+          exact: false,
+          message: def2.minSize.message
+        });
+        status.dirty();
+      }
+    }
+    if (def2.maxSize !== null) {
+      if (ctx.data.size > def2.maxSize.value) {
+        addIssueToContext(ctx, {
+          code: ZodIssueCode.too_big,
+          maximum: def2.maxSize.value,
+          type: "set",
+          inclusive: true,
+          exact: false,
+          message: def2.maxSize.message
+        });
+        status.dirty();
+      }
+    }
+    const valueType = this._def.valueType;
+    function finalizeSet(elements2) {
+      const parsedSet = /* @__PURE__ */ new Set();
+      for (const element of elements2) {
+        if (element.status === "aborted")
+          return INVALID;
+        if (element.status === "dirty")
+          status.dirty();
+        parsedSet.add(element.value);
+      }
+      return { status: status.value, value: parsedSet };
+    }
+    __name(finalizeSet, "finalizeSet");
+    const elements = [...ctx.data.values()].map((item2, i2) => valueType._parse(new ParseInputLazyPath(ctx, item2, ctx.path, i2)));
+    if (ctx.common.async) {
+      return Promise.all(elements).then((elements2) => finalizeSet(elements2));
+    } else {
+      return finalizeSet(elements);
+    }
+  }
+  min(minSize, message3) {
+    return new ZodSet({
+      ...this._def,
+      minSize: { value: minSize, message: errorUtil.toString(message3) }
+    });
+  }
+  max(maxSize, message3) {
+    return new ZodSet({
+      ...this._def,
+      maxSize: { value: maxSize, message: errorUtil.toString(message3) }
+    });
+  }
+  size(size2, message3) {
+    return this.min(size2, message3).max(size2, message3);
+  }
+  nonempty(message3) {
+    return this.min(1, message3);
+  }
+}
+ZodSet.create = (valueType, params) => {
+  return new ZodSet({
+    valueType,
+    minSize: null,
+    maxSize: null,
+    typeName: ZodFirstPartyTypeKind.ZodSet,
+    ...processCreateParams(params)
+  });
+};
+class ZodFunction extends ZodType {
+  static {
+    __name(this, "ZodFunction");
+  }
+  constructor() {
+    super(...arguments);
+    this.validate = this.implement;
+  }
+  _parse(input) {
+    const { ctx } = this._processInputParams(input);
+    if (ctx.parsedType !== ZodParsedType.function) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.function,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    function makeArgsIssue(args, error) {
+      return makeIssue({
+        data: args,
+        path: ctx.path,
+        errorMaps: [
+          ctx.common.contextualErrorMap,
+          ctx.schemaErrorMap,
+          getErrorMap(),
+          errorMap$1
+        ].filter((x2) => !!x2),
+        issueData: {
+          code: ZodIssueCode.invalid_arguments,
+          argumentsError: error
+        }
+      });
+    }
+    __name(makeArgsIssue, "makeArgsIssue");
+    function makeReturnsIssue(returns, error) {
+      return makeIssue({
+        data: returns,
+        path: ctx.path,
+        errorMaps: [
+          ctx.common.contextualErrorMap,
+          ctx.schemaErrorMap,
+          getErrorMap(),
+          errorMap$1
+        ].filter((x2) => !!x2),
+        issueData: {
+          code: ZodIssueCode.invalid_return_type,
+          returnTypeError: error
+        }
+      });
+    }
+    __name(makeReturnsIssue, "makeReturnsIssue");
+    const params = { errorMap: ctx.common.contextualErrorMap };
+    const fn = ctx.data;
+    if (this._def.returns instanceof ZodPromise) {
+      const me = this;
+      return OK(async function(...args) {
+        const error = new ZodError([]);
+        const parsedArgs = await me._def.args.parseAsync(args, params).catch((e) => {
+          error.addIssue(makeArgsIssue(args, e));
+          throw error;
+        });
+        const result = await Reflect.apply(fn, this, parsedArgs);
+        const parsedReturns = await me._def.returns._def.type.parseAsync(result, params).catch((e) => {
+          error.addIssue(makeReturnsIssue(result, e));
+          throw error;
+        });
+        return parsedReturns;
+      });
+    } else {
+      const me = this;
+      return OK(function(...args) {
+        const parsedArgs = me._def.args.safeParse(args, params);
+        if (!parsedArgs.success) {
+          throw new ZodError([makeArgsIssue(args, parsedArgs.error)]);
+        }
+        const result = Reflect.apply(fn, this, parsedArgs.data);
+        const parsedReturns = me._def.returns.safeParse(result, params);
+        if (!parsedReturns.success) {
+          throw new ZodError([makeReturnsIssue(result, parsedReturns.error)]);
+        }
+        return parsedReturns.data;
+      });
+    }
+  }
+  parameters() {
+    return this._def.args;
+  }
+  returnType() {
+    return this._def.returns;
+  }
+  args(...items2) {
+    return new ZodFunction({
+      ...this._def,
+      args: ZodTuple.create(items2).rest(ZodUnknown.create())
+    });
+  }
+  returns(returnType) {
+    return new ZodFunction({
+      ...this._def,
+      returns: returnType
+    });
+  }
+  implement(func) {
+    const validatedFunc = this.parse(func);
+    return validatedFunc;
+  }
+  strictImplement(func) {
+    const validatedFunc = this.parse(func);
+    return validatedFunc;
+  }
+  static create(args, returns, params) {
+    return new ZodFunction({
+      args: args ? args : ZodTuple.create([]).rest(ZodUnknown.create()),
+      returns: returns || ZodUnknown.create(),
+      typeName: ZodFirstPartyTypeKind.ZodFunction,
+      ...processCreateParams(params)
+    });
+  }
+}
+class ZodLazy extends ZodType {
+  static {
+    __name(this, "ZodLazy");
+  }
+  get schema() {
+    return this._def.getter();
+  }
+  _parse(input) {
+    const { ctx } = this._processInputParams(input);
+    const lazySchema = this._def.getter();
+    return lazySchema._parse({ data: ctx.data, path: ctx.path, parent: ctx });
+  }
+}
+ZodLazy.create = (getter, params) => {
+  return new ZodLazy({
+    getter,
+    typeName: ZodFirstPartyTypeKind.ZodLazy,
+    ...processCreateParams(params)
+  });
+};
+class ZodLiteral extends ZodType {
+  static {
+    __name(this, "ZodLiteral");
+  }
+  _parse(input) {
+    if (input.data !== this._def.value) {
+      const ctx = this._getOrReturnCtx(input);
+      addIssueToContext(ctx, {
+        received: ctx.data,
+        code: ZodIssueCode.invalid_literal,
+        expected: this._def.value
+      });
+      return INVALID;
+    }
+    return { status: "valid", value: input.data };
+  }
+  get value() {
+    return this._def.value;
+  }
+}
+ZodLiteral.create = (value3, params) => {
+  return new ZodLiteral({
+    value: value3,
+    typeName: ZodFirstPartyTypeKind.ZodLiteral,
+    ...processCreateParams(params)
+  });
+};
+function createZodEnum(values2, params) {
+  return new ZodEnum({
+    values: values2,
+    typeName: ZodFirstPartyTypeKind.ZodEnum,
+    ...processCreateParams(params)
+  });
+}
+__name(createZodEnum, "createZodEnum");
+class ZodEnum extends ZodType {
+  static {
+    __name(this, "ZodEnum");
+  }
+  constructor() {
+    super(...arguments);
+    _ZodEnum_cache.set(this, void 0);
+  }
+  _parse(input) {
+    if (typeof input.data !== "string") {
+      const ctx = this._getOrReturnCtx(input);
+      const expectedValues = this._def.values;
+      addIssueToContext(ctx, {
+        expected: util.joinValues(expectedValues),
+        received: ctx.parsedType,
+        code: ZodIssueCode.invalid_type
+      });
+      return INVALID;
+    }
+    if (!__classPrivateFieldGet(this, _ZodEnum_cache, "f")) {
+      __classPrivateFieldSet(this, _ZodEnum_cache, new Set(this._def.values), "f");
+    }
+    if (!__classPrivateFieldGet(this, _ZodEnum_cache, "f").has(input.data)) {
+      const ctx = this._getOrReturnCtx(input);
+      const expectedValues = this._def.values;
+      addIssueToContext(ctx, {
+        received: ctx.data,
+        code: ZodIssueCode.invalid_enum_value,
+        options: expectedValues
+      });
+      return INVALID;
+    }
+    return OK(input.data);
+  }
+  get options() {
+    return this._def.values;
+  }
+  get enum() {
+    const enumValues = {};
+    for (const val of this._def.values) {
+      enumValues[val] = val;
+    }
+    return enumValues;
+  }
+  get Values() {
+    const enumValues = {};
+    for (const val of this._def.values) {
+      enumValues[val] = val;
+    }
+    return enumValues;
+  }
+  get Enum() {
+    const enumValues = {};
+    for (const val of this._def.values) {
+      enumValues[val] = val;
+    }
+    return enumValues;
+  }
+  extract(values2, newDef = this._def) {
+    return ZodEnum.create(values2, {
+      ...this._def,
+      ...newDef
+    });
+  }
+  exclude(values2, newDef = this._def) {
+    return ZodEnum.create(this.options.filter((opt) => !values2.includes(opt)), {
+      ...this._def,
+      ...newDef
+    });
+  }
+}
+_ZodEnum_cache = /* @__PURE__ */ new WeakMap();
+ZodEnum.create = createZodEnum;
+class ZodNativeEnum extends ZodType {
+  static {
+    __name(this, "ZodNativeEnum");
+  }
+  constructor() {
+    super(...arguments);
+    _ZodNativeEnum_cache.set(this, void 0);
+  }
+  _parse(input) {
+    const nativeEnumValues = util.getValidEnumValues(this._def.values);
+    const ctx = this._getOrReturnCtx(input);
+    if (ctx.parsedType !== ZodParsedType.string && ctx.parsedType !== ZodParsedType.number) {
+      const expectedValues = util.objectValues(nativeEnumValues);
+      addIssueToContext(ctx, {
+        expected: util.joinValues(expectedValues),
+        received: ctx.parsedType,
+        code: ZodIssueCode.invalid_type
+      });
+      return INVALID;
+    }
+    if (!__classPrivateFieldGet(this, _ZodNativeEnum_cache, "f")) {
+      __classPrivateFieldSet(this, _ZodNativeEnum_cache, new Set(util.getValidEnumValues(this._def.values)), "f");
+    }
+    if (!__classPrivateFieldGet(this, _ZodNativeEnum_cache, "f").has(input.data)) {
+      const expectedValues = util.objectValues(nativeEnumValues);
+      addIssueToContext(ctx, {
+        received: ctx.data,
+        code: ZodIssueCode.invalid_enum_value,
+        options: expectedValues
+      });
+      return INVALID;
+    }
+    return OK(input.data);
+  }
+  get enum() {
+    return this._def.values;
+  }
+}
+_ZodNativeEnum_cache = /* @__PURE__ */ new WeakMap();
+ZodNativeEnum.create = (values2, params) => {
+  return new ZodNativeEnum({
+    values: values2,
+    typeName: ZodFirstPartyTypeKind.ZodNativeEnum,
+    ...processCreateParams(params)
+  });
+};
+class ZodPromise extends ZodType {
+  static {
+    __name(this, "ZodPromise");
+  }
+  unwrap() {
+    return this._def.type;
+  }
+  _parse(input) {
+    const { ctx } = this._processInputParams(input);
+    if (ctx.parsedType !== ZodParsedType.promise && ctx.common.async === false) {
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.promise,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    const promisified = ctx.parsedType === ZodParsedType.promise ? ctx.data : Promise.resolve(ctx.data);
+    return OK(promisified.then((data24) => {
+      return this._def.type.parseAsync(data24, {
+        path: ctx.path,
+        errorMap: ctx.common.contextualErrorMap
+      });
+    }));
+  }
+}
+ZodPromise.create = (schema, params) => {
+  return new ZodPromise({
+    type: schema,
+    typeName: ZodFirstPartyTypeKind.ZodPromise,
+    ...processCreateParams(params)
+  });
+};
+class ZodEffects extends ZodType {
+  static {
+    __name(this, "ZodEffects");
+  }
+  innerType() {
+    return this._def.schema;
+  }
+  sourceType() {
+    return this._def.schema._def.typeName === ZodFirstPartyTypeKind.ZodEffects ? this._def.schema.sourceType() : this._def.schema;
+  }
+  _parse(input) {
+    const { status, ctx } = this._processInputParams(input);
+    const effect2 = this._def.effect || null;
+    const checkCtx = {
+      addIssue: /* @__PURE__ */ __name((arg) => {
+        addIssueToContext(ctx, arg);
+        if (arg.fatal) {
+          status.abort();
+        } else {
+          status.dirty();
+        }
+      }, "addIssue"),
+      get path() {
+        return ctx.path;
+      }
+    };
+    checkCtx.addIssue = checkCtx.addIssue.bind(checkCtx);
+    if (effect2.type === "preprocess") {
+      const processed = effect2.transform(ctx.data, checkCtx);
+      if (ctx.common.async) {
+        return Promise.resolve(processed).then(async (processed2) => {
+          if (status.value === "aborted")
+            return INVALID;
+          const result = await this._def.schema._parseAsync({
+            data: processed2,
+            path: ctx.path,
+            parent: ctx
+          });
+          if (result.status === "aborted")
+            return INVALID;
+          if (result.status === "dirty")
+            return DIRTY(result.value);
+          if (status.value === "dirty")
+            return DIRTY(result.value);
+          return result;
+        });
+      } else {
+        if (status.value === "aborted")
+          return INVALID;
+        const result = this._def.schema._parseSync({
+          data: processed,
+          path: ctx.path,
+          parent: ctx
+        });
+        if (result.status === "aborted")
+          return INVALID;
+        if (result.status === "dirty")
+          return DIRTY(result.value);
+        if (status.value === "dirty")
+          return DIRTY(result.value);
+        return result;
+      }
+    }
+    if (effect2.type === "refinement") {
+      const executeRefinement = /* @__PURE__ */ __name((acc) => {
+        const result = effect2.refinement(acc, checkCtx);
+        if (ctx.common.async) {
+          return Promise.resolve(result);
+        }
+        if (result instanceof Promise) {
+          throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");
+        }
+        return acc;
+      }, "executeRefinement");
+      if (ctx.common.async === false) {
+        const inner = this._def.schema._parseSync({
+          data: ctx.data,
+          path: ctx.path,
+          parent: ctx
+        });
+        if (inner.status === "aborted")
+          return INVALID;
+        if (inner.status === "dirty")
+          status.dirty();
+        executeRefinement(inner.value);
+        return { status: status.value, value: inner.value };
+      } else {
+        return this._def.schema._parseAsync({ data: ctx.data, path: ctx.path, parent: ctx }).then((inner) => {
+          if (inner.status === "aborted")
+            return INVALID;
+          if (inner.status === "dirty")
+            status.dirty();
+          return executeRefinement(inner.value).then(() => {
+            return { status: status.value, value: inner.value };
+          });
+        });
+      }
+    }
+    if (effect2.type === "transform") {
+      if (ctx.common.async === false) {
+        const base = this._def.schema._parseSync({
+          data: ctx.data,
+          path: ctx.path,
+          parent: ctx
+        });
+        if (!isValid(base))
+          return base;
+        const result = effect2.transform(base.value, checkCtx);
+        if (result instanceof Promise) {
+          throw new Error(`Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.`);
+        }
+        return { status: status.value, value: result };
+      } else {
+        return this._def.schema._parseAsync({ data: ctx.data, path: ctx.path, parent: ctx }).then((base) => {
+          if (!isValid(base))
+            return base;
+          return Promise.resolve(effect2.transform(base.value, checkCtx)).then((result) => ({ status: status.value, value: result }));
+        });
+      }
+    }
+    util.assertNever(effect2);
+  }
+}
+ZodEffects.create = (schema, effect2, params) => {
+  return new ZodEffects({
+    schema,
+    typeName: ZodFirstPartyTypeKind.ZodEffects,
+    effect: effect2,
+    ...processCreateParams(params)
+  });
+};
+ZodEffects.createWithPreprocess = (preprocess, schema, params) => {
+  return new ZodEffects({
+    schema,
+    effect: { type: "preprocess", transform: preprocess },
+    typeName: ZodFirstPartyTypeKind.ZodEffects,
+    ...processCreateParams(params)
+  });
+};
+class ZodOptional extends ZodType {
+  static {
+    __name(this, "ZodOptional");
+  }
+  _parse(input) {
+    const parsedType = this._getType(input);
+    if (parsedType === ZodParsedType.undefined) {
+      return OK(void 0);
+    }
+    return this._def.innerType._parse(input);
+  }
+  unwrap() {
+    return this._def.innerType;
+  }
+}
+ZodOptional.create = (type, params) => {
+  return new ZodOptional({
+    innerType: type,
+    typeName: ZodFirstPartyTypeKind.ZodOptional,
+    ...processCreateParams(params)
+  });
+};
+class ZodNullable extends ZodType {
+  static {
+    __name(this, "ZodNullable");
+  }
+  _parse(input) {
+    const parsedType = this._getType(input);
+    if (parsedType === ZodParsedType.null) {
+      return OK(null);
+    }
+    return this._def.innerType._parse(input);
+  }
+  unwrap() {
+    return this._def.innerType;
+  }
+}
+ZodNullable.create = (type, params) => {
+  return new ZodNullable({
+    innerType: type,
+    typeName: ZodFirstPartyTypeKind.ZodNullable,
+    ...processCreateParams(params)
+  });
+};
+class ZodDefault extends ZodType {
+  static {
+    __name(this, "ZodDefault");
+  }
+  _parse(input) {
+    const { ctx } = this._processInputParams(input);
+    let data24 = ctx.data;
+    if (ctx.parsedType === ZodParsedType.undefined) {
+      data24 = this._def.defaultValue();
+    }
+    return this._def.innerType._parse({
+      data: data24,
+      path: ctx.path,
+      parent: ctx
+    });
+  }
+  removeDefault() {
+    return this._def.innerType;
+  }
+}
+ZodDefault.create = (type, params) => {
+  return new ZodDefault({
+    innerType: type,
+    typeName: ZodFirstPartyTypeKind.ZodDefault,
+    defaultValue: typeof params.default === "function" ? params.default : () => params.default,
+    ...processCreateParams(params)
+  });
+};
+class ZodCatch extends ZodType {
+  static {
+    __name(this, "ZodCatch");
+  }
+  _parse(input) {
+    const { ctx } = this._processInputParams(input);
+    const newCtx = {
+      ...ctx,
+      common: {
+        ...ctx.common,
+        issues: []
+      }
+    };
+    const result = this._def.innerType._parse({
+      data: newCtx.data,
+      path: newCtx.path,
+      parent: {
+        ...newCtx
+      }
+    });
+    if (isAsync(result)) {
+      return result.then((result2) => {
+        return {
+          status: "valid",
+          value: result2.status === "valid" ? result2.value : this._def.catchValue({
+            get error() {
+              return new ZodError(newCtx.common.issues);
+            },
+            input: newCtx.data
+          })
+        };
+      });
+    } else {
+      return {
+        status: "valid",
+        value: result.status === "valid" ? result.value : this._def.catchValue({
+          get error() {
+            return new ZodError(newCtx.common.issues);
+          },
+          input: newCtx.data
+        })
+      };
+    }
+  }
+  removeCatch() {
+    return this._def.innerType;
+  }
+}
+ZodCatch.create = (type, params) => {
+  return new ZodCatch({
+    innerType: type,
+    typeName: ZodFirstPartyTypeKind.ZodCatch,
+    catchValue: typeof params.catch === "function" ? params.catch : () => params.catch,
+    ...processCreateParams(params)
+  });
+};
+class ZodNaN extends ZodType {
+  static {
+    __name(this, "ZodNaN");
+  }
+  _parse(input) {
+    const parsedType = this._getType(input);
+    if (parsedType !== ZodParsedType.nan) {
+      const ctx = this._getOrReturnCtx(input);
+      addIssueToContext(ctx, {
+        code: ZodIssueCode.invalid_type,
+        expected: ZodParsedType.nan,
+        received: ctx.parsedType
+      });
+      return INVALID;
+    }
+    return { status: "valid", value: input.data };
+  }
+}
+ZodNaN.create = (params) => {
+  return new ZodNaN({
+    typeName: ZodFirstPartyTypeKind.ZodNaN,
+    ...processCreateParams(params)
+  });
+};
+const BRAND = Symbol("zod_brand");
+class ZodBranded extends ZodType {
+  static {
+    __name(this, "ZodBranded");
+  }
+  _parse(input) {
+    const { ctx } = this._processInputParams(input);
+    const data24 = ctx.data;
+    return this._def.type._parse({
+      data: data24,
+      path: ctx.path,
+      parent: ctx
+    });
+  }
+  unwrap() {
+    return this._def.type;
+  }
+}
+class ZodPipeline extends ZodType {
+  static {
+    __name(this, "ZodPipeline");
+  }
+  _parse(input) {
+    const { status, ctx } = this._processInputParams(input);
+    if (ctx.common.async) {
+      const handleAsync = /* @__PURE__ */ __name(async () => {
+        const inResult = await this._def.in._parseAsync({
+          data: ctx.data,
+          path: ctx.path,
+          parent: ctx
+        });
+        if (inResult.status === "aborted")
+          return INVALID;
+        if (inResult.status === "dirty") {
+          status.dirty();
+          return DIRTY(inResult.value);
+        } else {
+          return this._def.out._parseAsync({
+            data: inResult.value,
+            path: ctx.path,
+            parent: ctx
+          });
+        }
+      }, "handleAsync");
+      return handleAsync();
+    } else {
+      const inResult = this._def.in._parseSync({
+        data: ctx.data,
+        path: ctx.path,
+        parent: ctx
+      });
+      if (inResult.status === "aborted")
+        return INVALID;
+      if (inResult.status === "dirty") {
+        status.dirty();
+        return {
+          status: "dirty",
+          value: inResult.value
+        };
+      } else {
+        return this._def.out._parseSync({
+          data: inResult.value,
+          path: ctx.path,
+          parent: ctx
+        });
+      }
+    }
+  }
+  static create(a, b) {
+    return new ZodPipeline({
+      in: a,
+      out: b,
+      typeName: ZodFirstPartyTypeKind.ZodPipeline
+    });
+  }
+}
+class ZodReadonly extends ZodType {
+  static {
+    __name(this, "ZodReadonly");
+  }
+  _parse(input) {
+    const result = this._def.innerType._parse(input);
+    const freeze = /* @__PURE__ */ __name((data24) => {
+      if (isValid(data24)) {
+        data24.value = Object.freeze(data24.value);
+      }
+      return data24;
+    }, "freeze");
+    return isAsync(result) ? result.then((data24) => freeze(data24)) : freeze(result);
+  }
+  unwrap() {
+    return this._def.innerType;
+  }
+}
+ZodReadonly.create = (type, params) => {
+  return new ZodReadonly({
+    innerType: type,
+    typeName: ZodFirstPartyTypeKind.ZodReadonly,
+    ...processCreateParams(params)
+  });
+};
+function custom(check, params = {}, fatal) {
+  if (check)
+    return ZodAny.create().superRefine((data24, ctx) => {
+      var _a, _b;
+      if (!check(data24)) {
+        const p2 = typeof params === "function" ? params(data24) : typeof params === "string" ? { message: params } : params;
+        const _fatal = (_b = (_a = p2.fatal) !== null && _a !== void 0 ? _a : fatal) !== null && _b !== void 0 ? _b : true;
+        const p22 = typeof p2 === "string" ? { message: p2 } : p2;
+        ctx.addIssue({ code: "custom", ...p22, fatal: _fatal });
+      }
+    });
+  return ZodAny.create();
+}
+__name(custom, "custom");
+const late = {
+  object: ZodObject.lazycreate
+};
+var ZodFirstPartyTypeKind;
+(function(ZodFirstPartyTypeKind2) {
+  ZodFirstPartyTypeKind2["ZodString"] = "ZodString";
+  ZodFirstPartyTypeKind2["ZodNumber"] = "ZodNumber";
+  ZodFirstPartyTypeKind2["ZodNaN"] = "ZodNaN";
+  ZodFirstPartyTypeKind2["ZodBigInt"] = "ZodBigInt";
+  ZodFirstPartyTypeKind2["ZodBoolean"] = "ZodBoolean";
+  ZodFirstPartyTypeKind2["ZodDate"] = "ZodDate";
+  ZodFirstPartyTypeKind2["ZodSymbol"] = "ZodSymbol";
+  ZodFirstPartyTypeKind2["ZodUndefined"] = "ZodUndefined";
+  ZodFirstPartyTypeKind2["ZodNull"] = "ZodNull";
+  ZodFirstPartyTypeKind2["ZodAny"] = "ZodAny";
+  ZodFirstPartyTypeKind2["ZodUnknown"] = "ZodUnknown";
+  ZodFirstPartyTypeKind2["ZodNever"] = "ZodNever";
+  ZodFirstPartyTypeKind2["ZodVoid"] = "ZodVoid";
+  ZodFirstPartyTypeKind2["ZodArray"] = "ZodArray";
+  ZodFirstPartyTypeKind2["ZodObject"] = "ZodObject";
+  ZodFirstPartyTypeKind2["ZodUnion"] = "ZodUnion";
+  ZodFirstPartyTypeKind2["ZodDiscriminatedUnion"] = "ZodDiscriminatedUnion";
+  ZodFirstPartyTypeKind2["ZodIntersection"] = "ZodIntersection";
+  ZodFirstPartyTypeKind2["ZodTuple"] = "ZodTuple";
+  ZodFirstPartyTypeKind2["ZodRecord"] = "ZodRecord";
+  ZodFirstPartyTypeKind2["ZodMap"] = "ZodMap";
+  ZodFirstPartyTypeKind2["ZodSet"] = "ZodSet";
+  ZodFirstPartyTypeKind2["ZodFunction"] = "ZodFunction";
+  ZodFirstPartyTypeKind2["ZodLazy"] = "ZodLazy";
+  ZodFirstPartyTypeKind2["ZodLiteral"] = "ZodLiteral";
+  ZodFirstPartyTypeKind2["ZodEnum"] = "ZodEnum";
+  ZodFirstPartyTypeKind2["ZodEffects"] = "ZodEffects";
+  ZodFirstPartyTypeKind2["ZodNativeEnum"] = "ZodNativeEnum";
+  ZodFirstPartyTypeKind2["ZodOptional"] = "ZodOptional";
+  ZodFirstPartyTypeKind2["ZodNullable"] = "ZodNullable";
+  ZodFirstPartyTypeKind2["ZodDefault"] = "ZodDefault";
+  ZodFirstPartyTypeKind2["ZodCatch"] = "ZodCatch";
+  ZodFirstPartyTypeKind2["ZodPromise"] = "ZodPromise";
+  ZodFirstPartyTypeKind2["ZodBranded"] = "ZodBranded";
+  ZodFirstPartyTypeKind2["ZodPipeline"] = "ZodPipeline";
+  ZodFirstPartyTypeKind2["ZodReadonly"] = "ZodReadonly";
+})(ZodFirstPartyTypeKind || (ZodFirstPartyTypeKind = {}));
+const instanceOfType = /* @__PURE__ */ __name((cls, params = {
+  message: `Input not instance of ${cls.name}`
+}) => custom((data24) => data24 instanceof cls, params), "instanceOfType");
+const stringType = ZodString.create;
+const numberType = ZodNumber.create;
+const nanType = ZodNaN.create;
+const bigIntType = ZodBigInt.create;
+const booleanType = ZodBoolean.create;
+const dateType = ZodDate.create;
+const symbolType = ZodSymbol.create;
+const undefinedType = ZodUndefined.create;
+const nullType = ZodNull.create;
+const anyType = ZodAny.create;
+const unknownType = ZodUnknown.create;
+const neverType = ZodNever.create;
+const voidType = ZodVoid.create;
+const arrayType = ZodArray.create;
+const objectType = ZodObject.create;
+const strictObjectType = ZodObject.strictCreate;
+const unionType = ZodUnion.create;
+const discriminatedUnionType = ZodDiscriminatedUnion.create;
+const intersectionType = ZodIntersection.create;
+const tupleType = ZodTuple.create;
+const recordType = ZodRecord.create;
+const mapType = ZodMap.create;
+const setType = ZodSet.create;
+const functionType = ZodFunction.create;
+const lazyType = ZodLazy.create;
+const literalType = ZodLiteral.create;
+const enumType = ZodEnum.create;
+const nativeEnumType = ZodNativeEnum.create;
+const promiseType = ZodPromise.create;
+const effectsType = ZodEffects.create;
+const optionalType = ZodOptional.create;
+const nullableType = ZodNullable.create;
+const preprocessType = ZodEffects.createWithPreprocess;
+const pipelineType = ZodPipeline.create;
+const ostring = /* @__PURE__ */ __name(() => stringType().optional(), "ostring");
+const onumber = /* @__PURE__ */ __name(() => numberType().optional(), "onumber");
+const oboolean = /* @__PURE__ */ __name(() => booleanType().optional(), "oboolean");
+const coerce = {
+  string: /* @__PURE__ */ __name((arg) => ZodString.create({ ...arg, coerce: true }), "string"),
+  number: /* @__PURE__ */ __name((arg) => ZodNumber.create({ ...arg, coerce: true }), "number"),
+  boolean: /* @__PURE__ */ __name((arg) => ZodBoolean.create({
+    ...arg,
+    coerce: true
+  }), "boolean"),
+  bigint: /* @__PURE__ */ __name((arg) => ZodBigInt.create({ ...arg, coerce: true }), "bigint"),
+  date: /* @__PURE__ */ __name((arg) => ZodDate.create({ ...arg, coerce: true }), "date")
+};
+const NEVER = INVALID;
+var z = /* @__PURE__ */ Object.freeze({
+  __proto__: null,
+  defaultErrorMap: errorMap$1,
+  setErrorMap,
+  getErrorMap,
+  makeIssue,
+  EMPTY_PATH,
+  addIssueToContext,
+  ParseStatus,
+  INVALID,
+  DIRTY,
+  OK,
+  isAborted,
+  isDirty,
+  isValid,
+  isAsync,
+  get util() {
+    return util;
+  },
+  get objectUtil() {
+    return objectUtil;
+  },
+  ZodParsedType,
+  getParsedType,
+  ZodType,
+  datetimeRegex,
+  ZodString,
+  ZodNumber,
+  ZodBigInt,
+  ZodBoolean,
+  ZodDate,
+  ZodSymbol,
+  ZodUndefined,
+  ZodNull,
+  ZodAny,
+  ZodUnknown,
+  ZodNever,
+  ZodVoid,
+  ZodArray,
+  ZodObject,
+  ZodUnion,
+  ZodDiscriminatedUnion,
+  ZodIntersection,
+  ZodTuple,
+  ZodRecord,
+  ZodMap,
+  ZodSet,
+  ZodFunction,
+  ZodLazy,
+  ZodLiteral,
+  ZodEnum,
+  ZodNativeEnum,
+  ZodPromise,
+  ZodEffects,
+  ZodTransformer: ZodEffects,
+  ZodOptional,
+  ZodNullable,
+  ZodDefault,
+  ZodCatch,
+  ZodNaN,
+  BRAND,
+  ZodBranded,
+  ZodPipeline,
+  ZodReadonly,
+  custom,
+  Schema: ZodType,
+  ZodSchema: ZodType,
+  late,
+  get ZodFirstPartyTypeKind() {
+    return ZodFirstPartyTypeKind;
+  },
+  coerce,
+  any: anyType,
+  array: arrayType,
+  bigint: bigIntType,
+  boolean: booleanType,
+  date: dateType,
+  discriminatedUnion: discriminatedUnionType,
+  effect: effectsType,
+  "enum": enumType,
+  "function": functionType,
+  "instanceof": instanceOfType,
+  intersection: intersectionType,
+  lazy: lazyType,
+  literal: literalType,
+  map: mapType,
+  nan: nanType,
+  nativeEnum: nativeEnumType,
+  never: neverType,
+  "null": nullType,
+  nullable: nullableType,
+  number: numberType,
+  object: objectType,
+  oboolean,
+  onumber,
+  optional: optionalType,
+  ostring,
+  pipeline: pipelineType,
+  preprocess: preprocessType,
+  promise: promiseType,
+  record: recordType,
+  set: setType,
+  strictObject: strictObjectType,
+  string: stringType,
+  symbol: symbolType,
+  transformer: effectsType,
+  tuple: tupleType,
+  "undefined": undefinedType,
+  union: unionType,
+  unknown: unknownType,
+  "void": voidType,
+  NEVER,
+  ZodIssueCode,
+  quotelessJson,
+  ZodError
+});
+function isZodErrorLike(err) {
+  return err instanceof Error && err.name === "ZodError" && "issues" in err && Array.isArray(err.issues);
+}
+__name(isZodErrorLike, "isZodErrorLike");
+var ValidationError = class extends Error {
+  static {
+    __name(this, "ValidationError");
+  }
+  name;
+  details;
+  constructor(message3, options3) {
+    super(message3, options3);
+    this.name = "ZodValidationError";
+    this.details = getIssuesFromErrorOptions(options3);
+  }
+  toString() {
+    return this.message;
+  }
+};
+function getIssuesFromErrorOptions(options3) {
+  if (options3) {
+    const cause = options3.cause;
+    if (isZodErrorLike(cause)) {
+      return cause.issues;
+    }
+  }
+  return [];
+}
+__name(getIssuesFromErrorOptions, "getIssuesFromErrorOptions");
+function isValidationError(err) {
+  return err instanceof ValidationError;
+}
+__name(isValidationError, "isValidationError");
+function isValidationErrorLike(err) {
+  return err instanceof Error && err.name === "ZodValidationError";
+}
+__name(isValidationErrorLike, "isValidationErrorLike");
+var ISSUE_SEPARATOR = "; ";
+var MAX_ISSUES_IN_MESSAGE = 99;
+var PREFIX = "Validation error";
+var PREFIX_SEPARATOR = ": ";
+var UNION_SEPARATOR = ", or ";
+function prefixMessage(message3, prefix2, prefixSeparator) {
+  if (prefix2 !== null) {
+    if (message3.length > 0) {
+      return [prefix2, message3].join(prefixSeparator);
+    }
+    return prefix2;
+  }
+  if (message3.length > 0) {
+    return message3;
+  }
+  return PREFIX;
+}
+__name(prefixMessage, "prefixMessage");
+var identifierRegex = /[$_\p{ID_Start}][$\u200c\u200d\p{ID_Continue}]*/u;
+function joinPath(path) {
+  if (path.length === 1) {
+    return path[0].toString();
+  }
+  return path.reduce((acc, item2) => {
+    if (typeof item2 === "number") {
+      return acc + "[" + item2.toString() + "]";
+    }
+    if (item2.includes('"')) {
+      return acc + '["' + escapeQuotes(item2) + '"]';
+    }
+    if (!identifierRegex.test(item2)) {
+      return acc + '["' + item2 + '"]';
+    }
+    const separator = acc.length === 0 ? "" : ".";
+    return acc + separator + item2;
+  }, "");
+}
+__name(joinPath, "joinPath");
+function escapeQuotes(str) {
+  return str.replace(/"/g, '\\"');
+}
+__name(escapeQuotes, "escapeQuotes");
+function isNonEmptyArray(value3) {
+  return value3.length !== 0;
+}
+__name(isNonEmptyArray, "isNonEmptyArray");
+function getMessageFromZodIssue(props) {
+  const { issue, issueSeparator, unionSeparator, includePath } = props;
+  if (issue.code === "invalid_union") {
+    return issue.unionErrors.reduce((acc, zodError) => {
+      const newIssues = zodError.issues.map(
+        (issue2) => getMessageFromZodIssue({
+          issue: issue2,
+          issueSeparator,
+          unionSeparator,
+          includePath
+        })
+      ).join(issueSeparator);
+      if (!acc.includes(newIssues)) {
+        acc.push(newIssues);
+      }
+      return acc;
+    }, []).join(unionSeparator);
+  }
+  if (issue.code === "invalid_arguments") {
+    return [
+      issue.message,
+      ...issue.argumentsError.issues.map(
+        (issue2) => getMessageFromZodIssue({
+          issue: issue2,
+          issueSeparator,
+          unionSeparator,
+          includePath
+        })
+      )
+    ].join(issueSeparator);
+  }
+  if (issue.code === "invalid_return_type") {
+    return [
+      issue.message,
+      ...issue.returnTypeError.issues.map(
+        (issue2) => getMessageFromZodIssue({
+          issue: issue2,
+          issueSeparator,
+          unionSeparator,
+          includePath
+        })
+      )
+    ].join(issueSeparator);
+  }
+  if (includePath && isNonEmptyArray(issue.path)) {
+    if (issue.path.length === 1) {
+      const identifier = issue.path[0];
+      if (typeof identifier === "number") {
+        return `${issue.message} at index ${identifier}`;
+      }
+    }
+    return `${issue.message} at "${joinPath(issue.path)}"`;
+  }
+  return issue.message;
+}
+__name(getMessageFromZodIssue, "getMessageFromZodIssue");
+function fromZodIssue(issue, options3 = {}) {
+  const {
+    issueSeparator = ISSUE_SEPARATOR,
+    unionSeparator = UNION_SEPARATOR,
+    prefixSeparator = PREFIX_SEPARATOR,
+    prefix: prefix2 = PREFIX,
+    includePath = true
+  } = options3;
+  const reason = getMessageFromZodIssue({
+    issue,
+    issueSeparator,
+    unionSeparator,
+    includePath
+  });
+  const message3 = prefixMessage(reason, prefix2, prefixSeparator);
+  return new ValidationError(message3, { cause: new ZodError([issue]) });
+}
+__name(fromZodIssue, "fromZodIssue");
+var errorMap = /* @__PURE__ */ __name((issue, ctx) => {
+  const error = fromZodIssue({
+    ...issue,
+    // fallback to the default error message
+    // when issue does not have a message
+    message: issue.message ?? ctx.defaultError
+  });
+  return {
+    message: error.message
+  };
+}, "errorMap");
+function fromZodError(zodError, options3 = {}) {
+  if (!isZodErrorLike(zodError)) {
+    throw new TypeError(
+      `Invalid zodError param; expected instance of ZodError. Did you mean to use the "${fromError.name}" method instead?`
+    );
+  }
+  return fromZodErrorWithoutRuntimeCheck(zodError, options3);
+}
+__name(fromZodError, "fromZodError");
+function fromZodErrorWithoutRuntimeCheck(zodError, options3 = {}) {
+  const {
+    maxIssuesInMessage = MAX_ISSUES_IN_MESSAGE,
+    issueSeparator = ISSUE_SEPARATOR,
+    unionSeparator = UNION_SEPARATOR,
+    prefixSeparator = PREFIX_SEPARATOR,
+    prefix: prefix2 = PREFIX,
+    includePath = true
+  } = options3;
+  const zodIssues = zodError.errors;
+  const reason = zodIssues.length === 0 ? zodError.message : zodIssues.slice(0, maxIssuesInMessage).map(
+    (issue) => getMessageFromZodIssue({
+      issue,
+      issueSeparator,
+      unionSeparator,
+      includePath
+    })
+  ).join(issueSeparator);
+  const message3 = prefixMessage(reason, prefix2, prefixSeparator);
+  return new ValidationError(message3, { cause: zodError });
+}
+__name(fromZodErrorWithoutRuntimeCheck, "fromZodErrorWithoutRuntimeCheck");
+var toValidationError = /* @__PURE__ */ __name((options3 = {}) => (err) => {
+  if (isZodErrorLike(err)) {
+    return fromZodErrorWithoutRuntimeCheck(err, options3);
+  }
+  if (err instanceof Error) {
+    return new ValidationError(err.message, { cause: err });
+  }
+  return new ValidationError("Unknown error");
+}, "toValidationError");
+function fromError(err, options3 = {}) {
+  return toValidationError(options3)(err);
+}
+__name(fromError, "fromError");
+const zNodeId = z.union([z.number().int(), z.string()]);
+const zSlotIndex = z.union([
+  z.number().int(),
+  z.string().transform((val) => parseInt(val)).refine((val) => !isNaN(val), {
+    message: "Invalid number"
+  })
+]);
+const zDataType = z.union([z.string(), z.array(z.string()), z.number()]);
+const zModelFile = z.object({
+  name: z.string(),
+  url: z.string().url(),
+  hash: z.string().optional(),
+  hash_type: z.string().optional(),
+  directory: z.string()
+});
+const zComfyLink = z.tuple([
+  z.number(),
+  // Link id
+  zNodeId,
+  // Node id of source node
+  zSlotIndex,
+  // Output slot# of source node
+  zNodeId,
+  // Node id of destination node
+  zSlotIndex,
+  // Input slot# of destination node
+  zDataType
+  // Data type
+]);
+const zNodeOutput = z.object({
+  name: z.string(),
+  type: zDataType,
+  links: z.array(z.number()).nullable().optional(),
+  slot_index: zSlotIndex.optional()
+}).passthrough();
+const zNodeInput = z.object({
+  name: z.string(),
+  type: zDataType,
+  link: z.number().nullable().optional(),
+  slot_index: zSlotIndex.optional()
+}).passthrough();
+const zFlags = z.object({
+  collapsed: z.boolean().optional(),
+  pinned: z.boolean().optional(),
+  allow_interaction: z.boolean().optional(),
+  horizontal: z.boolean().optional(),
+  skip_repeated_outputs: z.boolean().optional()
+}).passthrough();
+const zProperties = z.object({
+  ["Node name for S&R"]: z.string().optional()
+}).passthrough();
+const zVector2 = z.union([
+  z.object({ 0: z.number(), 1: z.number() }).transform((v2) => [v2[0], v2[1]]),
+  z.tuple([z.number(), z.number()])
+]);
+const zWidgetValues = z.union([z.array(z.any()), z.record(z.any())]);
+const zComfyNode = z.object({
+  id: zNodeId,
+  type: z.string(),
+  pos: zVector2,
+  size: zVector2,
+  flags: zFlags,
+  order: z.number(),
+  mode: z.number(),
+  inputs: z.array(zNodeInput).optional(),
+  outputs: z.array(zNodeOutput).optional(),
+  properties: zProperties,
+  widgets_values: zWidgetValues.optional(),
+  color: z.string().optional(),
+  bgcolor: z.string().optional()
+}).passthrough();
+const zGroup = z.object({
+  title: z.string(),
+  bounding: z.tuple([z.number(), z.number(), z.number(), z.number()]),
+  color: z.string().optional(),
+  font_size: z.number().optional(),
+  locked: z.boolean().optional()
+}).passthrough();
+const zInfo = z.object({
+  name: z.string(),
+  author: z.string(),
+  description: z.string(),
+  version: z.string(),
+  created: z.string(),
+  modified: z.string(),
+  software: z.string()
+}).passthrough();
+const zDS = z.object({
+  scale: z.number(),
+  offset: zVector2
+}).passthrough();
+const zConfig = z.object({
+  links_ontop: z.boolean().optional(),
+  align_to_grid: z.boolean().optional()
+}).passthrough();
+const zExtra = z.object({
+  ds: zDS.optional(),
+  info: zInfo.optional()
+}).passthrough();
+const zComfyWorkflow = z.object({
+  last_node_id: zNodeId,
+  last_link_id: z.number(),
+  nodes: z.array(zComfyNode),
+  links: z.array(zComfyLink),
+  groups: z.array(zGroup).optional(),
+  config: zConfig.optional().nullable(),
+  extra: zExtra.optional().nullable(),
+  version: z.number(),
+  models: z.array(zModelFile).optional()
+}).passthrough();
+async function validateComfyWorkflow(data24, onError = console.warn) {
+  const result = await zComfyWorkflow.safeParseAsync(data24);
+  if (!result.success) {
+    const error = fromZodError(result.error);
+    onError(`Invalid workflow against zod schema:
+${error}`);
+    return null;
+  }
+  return result.data;
+}
+__name(validateComfyWorkflow, "validateComfyWorkflow");
+const nodeSlotSchema = z.object({
+  BOOLEAN: z.string().optional(),
+  CLIP: z.string(),
+  CLIP_VISION: z.string(),
+  CLIP_VISION_OUTPUT: z.string(),
+  CONDITIONING: z.string(),
+  CONTROL_NET: z.string(),
+  CONTROL_NET_WEIGHTS: z.string().optional(),
+  FLOAT: z.string().optional(),
+  GLIGEN: z.string().optional(),
+  IMAGE: z.string(),
+  IMAGEUPLOAD: z.string().optional(),
+  INT: z.string().optional(),
+  LATENT: z.string(),
+  LATENT_KEYFRAME: z.string().optional(),
+  MASK: z.string(),
+  MODEL: z.string(),
+  SAMPLER: z.string().optional(),
+  SIGMAS: z.string().optional(),
+  STRING: z.string().optional(),
+  STYLE_MODEL: z.string(),
+  T2I_ADAPTER_WEIGHTS: z.string().optional(),
+  TAESD: z.string(),
+  TIMESTEP_KEYFRAME: z.string().optional(),
+  UPSCALE_MODEL: z.string().optional(),
+  VAE: z.string()
+}).passthrough();
+const litegraphBaseSchema = z.object({
+  BACKGROUND_IMAGE: z.string(),
+  CLEAR_BACKGROUND_COLOR: z.string(),
+  NODE_TITLE_COLOR: z.string(),
+  NODE_SELECTED_TITLE_COLOR: z.string(),
+  NODE_TEXT_SIZE: z.number(),
+  NODE_TEXT_COLOR: z.string(),
+  NODE_SUBTEXT_SIZE: z.number(),
+  NODE_DEFAULT_COLOR: z.string(),
+  NODE_DEFAULT_BGCOLOR: z.string(),
+  NODE_DEFAULT_BOXCOLOR: z.string(),
+  NODE_DEFAULT_SHAPE: z.string(),
+  NODE_BOX_OUTLINE_COLOR: z.string(),
+  DEFAULT_SHADOW_COLOR: z.string(),
+  DEFAULT_GROUP_FONT: z.number(),
+  WIDGET_BGCOLOR: z.string(),
+  WIDGET_OUTLINE_COLOR: z.string(),
+  WIDGET_TEXT_COLOR: z.string(),
+  WIDGET_SECONDARY_TEXT_COLOR: z.string(),
+  LINK_COLOR: z.string(),
+  EVENT_LINK_COLOR: z.string(),
+  CONNECTING_LINK_COLOR: z.string()
+}).passthrough();
+const comfyBaseSchema = z.object({
+  ["fg-color"]: z.string(),
+  ["bg-color"]: z.string(),
+  ["comfy-menu-bg"]: z.string(),
+  ["comfy-input-bg"]: z.string(),
+  ["input-text"]: z.string(),
+  ["descrip-text"]: z.string(),
+  ["drag-text"]: z.string(),
+  ["error-text"]: z.string(),
+  ["border-color"]: z.string(),
+  ["tr-even-bg-color"]: z.string(),
+  ["tr-odd-bg-color"]: z.string(),
+  ["content-bg"]: z.string(),
+  ["content-fg"]: z.string(),
+  ["content-hover-bg"]: z.string(),
+  ["content-hover-fg"]: z.string()
+});
+const colorsSchema = z.object({
+  node_slot: nodeSlotSchema,
+  litegraph_base: litegraphBaseSchema,
+  comfy_base: comfyBaseSchema
+}).passthrough();
+const paletteSchema = z.object({
+  id: z.string(),
+  name: z.string(),
+  colors: colorsSchema
+});
+const colorPalettesSchema = z.record(paletteSchema);
+const zNodeType = z.string();
+const zQueueIndex = z.number();
+const zPromptId = z.string();
+const zResultItem = z.object({
+  filename: z.string(),
+  subfolder: z.string().optional(),
+  type: z.string()
+});
+const zOutputs = z.object({
+  audio: z.array(zResultItem).optional(),
+  images: z.array(zResultItem).optional()
+}).passthrough();
+const zStatusWsMessageStatus = z.object({
+  exec_info: z.object({
+    queue_remaining: z.number().int()
+  })
+});
+const zStatusWsMessage = z.object({
+  status: zStatusWsMessageStatus.nullable().optional()
+});
+const zProgressWsMessage = z.object({
+  value: z.number().int(),
+  max: z.number().int(),
+  prompt_id: zPromptId,
+  node: zNodeId
+});
+const zExecutingWsMessage = z.object({
+  node: zNodeId,
+  display_node: zNodeId,
+  prompt_id: zPromptId
+});
+const zExecutedWsMessage = zExecutingWsMessage.extend({
+  outputs: zOutputs
+});
+const zExecutionWsMessageBase = z.object({
+  prompt_id: zPromptId,
+  timestamp: z.number().int()
+});
+const zExecutionStartWsMessage = zExecutionWsMessageBase;
+const zExecutionSuccessWsMessage = zExecutionWsMessageBase;
+const zExecutionCachedWsMessage = zExecutionWsMessageBase.extend({
+  nodes: z.array(zNodeId)
+});
+const zExecutionInterruptedWsMessage = zExecutionWsMessageBase.extend({
+  node_id: zNodeId,
+  node_type: zNodeType,
+  executed: z.array(zNodeId)
+});
+const zExecutionErrorWsMessage = zExecutionWsMessageBase.extend({
+  node_id: zNodeId,
+  node_type: zNodeType,
+  executed: z.array(zNodeId),
+  exception_message: z.string(),
+  exception_type: z.string(),
+  traceback: z.array(z.string()),
+  current_inputs: z.any(),
+  current_outputs: z.any()
+});
+const zDownloadModelStatus = z.object({
+  status: z.string(),
+  progress_percentage: z.number(),
+  message: z.string(),
+  download_path: z.string(),
+  already_existed: z.boolean()
+});
+const zPromptInputItem = z.object({
+  inputs: z.record(z.string(), z.any()),
+  class_type: zNodeType
+});
+const zPromptInputs = z.record(zPromptInputItem);
+const zExtraPngInfo = z.object({
+  workflow: zComfyWorkflow
+}).passthrough();
+const zExtraData = z.object({
+  extra_pnginfo: zExtraPngInfo,
+  client_id: z.string()
+});
+const zOutputsToExecute = z.array(zNodeId);
+const zExecutionStartMessage = z.tuple([
+  z.literal("execution_start"),
+  zExecutionStartWsMessage
+]);
+const zExecutionSuccessMessage = z.tuple([
+  z.literal("execution_success"),
+  zExecutionSuccessWsMessage
+]);
+const zExecutionCachedMessage = z.tuple([
+  z.literal("execution_cached"),
+  zExecutionCachedWsMessage
+]);
+const zExecutionInterruptedMessage = z.tuple([
+  z.literal("execution_interrupted"),
+  zExecutionInterruptedWsMessage
+]);
+const zExecutionErrorMessage = z.tuple([
+  z.literal("execution_error"),
+  zExecutionErrorWsMessage
+]);
+const zStatusMessage = z.union([
+  zExecutionStartMessage,
+  zExecutionSuccessMessage,
+  zExecutionCachedMessage,
+  zExecutionInterruptedMessage,
+  zExecutionErrorMessage
+]);
+const zStatus = z.object({
+  status_str: z.enum(["success", "error"]),
+  completed: z.boolean(),
+  messages: z.array(zStatusMessage)
+});
+const zTaskPrompt = z.tuple([
+  zQueueIndex,
+  zPromptId,
+  zPromptInputs,
+  zExtraData,
+  zOutputsToExecute
+]);
+const zRunningTaskItem = z.object({
+  taskType: z.literal("Running"),
+  prompt: zTaskPrompt,
+  // @Deprecated
+  remove: z.object({
+    name: z.literal("Cancel"),
+    cb: z.function()
+  })
+});
+const zPendingTaskItem = z.object({
+  taskType: z.literal("Pending"),
+  prompt: zTaskPrompt
+});
+const zTaskOutput = z.record(zNodeId, zOutputs);
+const zHistoryTaskItem = z.object({
+  taskType: z.literal("History"),
+  prompt: zTaskPrompt,
+  status: zStatus.optional(),
+  outputs: zTaskOutput
+});
+const zTaskItem = z.union([
+  zRunningTaskItem,
+  zPendingTaskItem,
+  zHistoryTaskItem
+]);
+const zTaskType = z.union([
+  z.literal("Running"),
+  z.literal("Pending"),
+  z.literal("History")
+]);
+function validateTaskItem(taskItem) {
+  const result = zTaskItem.safeParse(taskItem);
+  if (!result.success) {
+    const zodError = fromZodError(result.error);
+    console.warn(
+      `Invalid TaskItem: ${JSON.stringify(taskItem)}
+${zodError.message}`
+    );
+  }
+  return result;
+}
+__name(validateTaskItem, "validateTaskItem");
+function inputSpec(spec, allowUpcast = true) {
+  const [inputType, inputSpec2] = spec;
+  const upcastTypes = allowUpcast ? [inputType.transform((type) => [type, {}])] : [];
+  return z.union([
+    z.tuple([inputType, inputSpec2]),
+    z.tuple([inputType]).transform(([type]) => [type, {}]),
+    ...upcastTypes
+  ]);
+}
+__name(inputSpec, "inputSpec");
+const zBaseInputSpecValue = z.object({
+  default: z.any().optional(),
+  forceInput: z.boolean().optional()
+}).passthrough();
+const zIntInputSpec = inputSpec([
+  z.literal("INT"),
+  zBaseInputSpecValue.extend({
+    min: z.number().optional(),
+    max: z.number().optional(),
+    step: z.number().optional(),
+    // Note: Many node authors are using INT to pass list of INT.
+    // TODO: Add list of ints type.
+    default: z.union([z.number(), z.array(z.number())]).optional()
+  })
+]);
+const zFloatInputSpec = inputSpec([
+  z.literal("FLOAT"),
+  zBaseInputSpecValue.extend({
+    min: z.number().optional(),
+    max: z.number().optional(),
+    step: z.number().optional(),
+    round: z.union([z.number(), z.literal(false)]).optional(),
+    // Note: Many node authors are using FLOAT to pass list of FLOAT.
+    // TODO: Add list of floats type.
+    default: z.union([z.number(), z.array(z.number())]).optional()
+  })
+]);
+const zBooleanInputSpec = inputSpec([
+  z.literal("BOOLEAN"),
+  zBaseInputSpecValue.extend({
+    label_on: z.string().optional(),
+    label_off: z.string().optional(),
+    default: z.boolean().optional()
+  })
+]);
+const zStringInputSpec = inputSpec([
+  z.literal("STRING"),
+  zBaseInputSpecValue.extend({
+    default: z.string().optional(),
+    multiline: z.boolean().optional(),
+    dynamicPrompts: z.boolean().optional(),
+    // Multiline-only fields
+    defaultVal: z.string().optional(),
+    placeholder: z.string().optional()
+  })
+]);
+const zComboInputSpec = inputSpec(
+  [
+    z.array(z.any()),
+    zBaseInputSpecValue.extend({
+      control_after_generate: z.boolean().optional(),
+      image_upload: z.boolean().optional()
+    })
+  ],
+  /* allowUpcast=*/
+  false
+);
+const excludedLiterals = /* @__PURE__ */ new Set(["INT", "FLOAT", "BOOLEAN", "STRING", "COMBO"]);
+const zCustomInputSpec = inputSpec([
+  z.string().refine((value3) => !excludedLiterals.has(value3)),
+  zBaseInputSpecValue
+]);
+const zInputSpec = z.union([
+  zIntInputSpec,
+  zFloatInputSpec,
+  zBooleanInputSpec,
+  zStringInputSpec,
+  zComboInputSpec,
+  zCustomInputSpec
+]);
+const zComfyInputsSpec = z.object({
+  required: z.record(zInputSpec).optional(),
+  optional: z.record(zInputSpec).optional(),
+  // Frontend repo is not using it, but some custom nodes are using the
+  // hidden field to pass various values.
+  hidden: z.record(z.any()).optional()
+});
+const zComfyNodeDataType = z.string();
+const zComfyComboOutput = z.array(z.any());
+const zComfyOutputTypesSpec = z.array(
+  z.union([zComfyNodeDataType, zComfyComboOutput])
+);
+const zComfyNodeDef = z.object({
+  input: zComfyInputsSpec,
+  output: zComfyOutputTypesSpec,
+  output_is_list: z.array(z.boolean()),
+  output_name: z.array(z.string()),
+  output_tooltips: z.array(z.string()).optional(),
+  name: z.string(),
+  display_name: z.string(),
+  description: z.string(),
+  category: z.string(),
+  output_node: z.boolean(),
+  python_module: z.string(),
+  deprecated: z.boolean().optional(),
+  experimental: z.boolean().optional()
+});
+function validateComfyNodeDef(data24, onError = console.warn) {
+  const result = zComfyNodeDef.safeParse(data24);
+  if (!result.success) {
+    const zodError = fromZodError(result.error);
+    onError(
+      `Invalid ComfyNodeDef: ${JSON.stringify(data24)}
+${zodError.message}`
+    );
+    return null;
+  }
+  return result.data;
+}
+__name(validateComfyNodeDef, "validateComfyNodeDef");
+const zEmbeddingsResponse = z.array(z.string());
+const zExtensionsResponse = z.array(z.string());
+const zPromptResponse = z.object({
+  node_errors: z.array(z.string()).optional(),
+  prompt_id: z.string().optional(),
+  exec_info: z.object({
+    queue_remaining: z.number().optional()
+  }).optional()
+});
+const zSystemStats = z.object({
+  system: z.object({
+    os: z.string(),
+    python_version: z.string(),
+    embedded_python: z.boolean(),
+    comfyui_version: z.string(),
+    pytorch_version: z.string(),
+    argv: z.array(z.string())
+  }),
+  devices: z.array(
+    z.object({
+      name: z.string(),
+      type: z.string(),
+      index: z.number().optional(),
+      vram_total: z.number(),
+      vram_free: z.number(),
+      torch_vram_total: z.number(),
+      torch_vram_free: z.number()
+    })
+  )
+});
+const zUser = z.object({
+  storage: z.enum(["server", "browser"]),
+  migrated: z.boolean(),
+  users: z.record(z.string(), z.unknown())
+});
+const zUserData = z.array(z.array(z.string(), z.string()));
+const zBookmarkCustomization = z.object({
+  icon: z.string().optional(),
+  color: z.string().optional()
+});
+const zSettings = z.record(z.any()).and(
+  z.object({
+    "Comfy.ColorPalette": z.string(),
+    "Comfy.CustomColorPalettes": colorPalettesSchema,
+    "Comfy.ConfirmClear": z.boolean(),
+    "Comfy.DevMode": z.boolean(),
+    "Comfy.Workflow.ShowMissingNodesWarning": z.boolean(),
+    "Comfy.Workflow.ShowMissingModelsWarning": z.boolean(),
+    "Comfy.DisableFloatRounding": z.boolean(),
+    "Comfy.DisableSliders": z.boolean(),
+    "Comfy.DOMClippingEnabled": z.boolean(),
+    "Comfy.EditAttention.Delta": z.number(),
+    "Comfy.EnableTooltips": z.boolean(),
+    "Comfy.EnableWorkflowViewRestore": z.boolean(),
+    "Comfy.FloatRoundingPrecision": z.number(),
+    "Comfy.Graph.ZoomSpeed": z.number(),
+    "Comfy.InvertMenuScrolling": z.boolean(),
+    "Comfy.Logging.Enabled": z.boolean(),
+    "Comfy.NodeLibrary.Bookmarks": z.array(z.string()),
+    "Comfy.NodeLibrary.BookmarksCustomization": z.record(
+      z.string(),
+      zBookmarkCustomization
+    ),
+    "Comfy.NodeInputConversionSubmenus": z.boolean(),
+    "Comfy.NodeSearchBoxImpl.LinkReleaseTrigger": z.enum([
+      "always",
+      "hold shift",
+      "NOT hold shift"
+    ]),
+    "Comfy.NodeSearchBoxImpl.NodePreview": z.boolean(),
+    "Comfy.NodeSearchBoxImpl": z.enum(["default", "simple"]),
+    "Comfy.NodeSearchBoxImpl.ShowCategory": z.boolean(),
+    "Comfy.NodeSuggestions.number": z.number(),
+    "Comfy.Node.ShowDeprecated": z.boolean(),
+    "Comfy.Node.ShowExperimental": z.boolean(),
+    "Comfy.PreviewFormat": z.string(),
+    "Comfy.PromptFilename": z.boolean(),
+    "Comfy.Sidebar.Location": z.enum(["left", "right"]),
+    "Comfy.Sidebar.Size": z.number(),
+    "Comfy.SwitchUser": z.any(),
+    "Comfy.SnapToGrid.GridSize": z.number(),
+    "Comfy.TextareaWidget.FontSize": z.number(),
+    "Comfy.TextareaWidget.Spellcheck": z.boolean(),
+    "Comfy.UseNewMenu": z.any(),
+    "Comfy.Validation.Workflows": z.boolean(),
+    "Comfy.Workflow.SortNodeIdOnSave": z.boolean(),
+    "Comfy.Queue.ImageFit": z.enum(["contain", "cover"]),
+    "Comfy.Workflow.ModelDownload.AllowedSources": z.array(z.string()),
+    "Comfy.Workflow.ModelDownload.AllowedSuffixes": z.array(z.string()),
+    "Comfy.Node.DoubleClickTitleToEdit": z.boolean()
+  }).optional()
+);
+"use strict";
+function bind$2(fn, thisArg) {
+  return /* @__PURE__ */ __name(function wrap() {
+    return fn.apply(thisArg, arguments);
+  }, "wrap");
+}
+__name(bind$2, "bind$2");
+"use strict";
+const { toString: toString$2 } = Object.prototype;
+const { getPrototypeOf } = Object;
+const kindOf = /* @__PURE__ */ ((cache2) => (thing) => {
+  const str = toString$2.call(thing);
+  return cache2[str] || (cache2[str] = str.slice(8, -1).toLowerCase());
+})(/* @__PURE__ */ Object.create(null));
+const kindOfTest = /* @__PURE__ */ __name((type) => {
+  type = type.toLowerCase();
+  return (thing) => kindOf(thing) === type;
+}, "kindOfTest");
+const typeOfTest = /* @__PURE__ */ __name((type) => (thing) => typeof thing === type, "typeOfTest");
+const { isArray: isArray$2 } = Array;
+const isUndefined = typeOfTest("undefined");
+function isBuffer(val) {
+  return val !== null && !isUndefined(val) && val.constructor !== null && !isUndefined(val.constructor) && isFunction$2(val.constructor.isBuffer) && val.constructor.isBuffer(val);
+}
+__name(isBuffer, "isBuffer");
+const isArrayBuffer = kindOfTest("ArrayBuffer");
+function isArrayBufferView(val) {
+  let result;
+  if (typeof ArrayBuffer !== "undefined" && ArrayBuffer.isView) {
+    result = ArrayBuffer.isView(val);
+  } else {
+    result = val && val.buffer && isArrayBuffer(val.buffer);
+  }
+  return result;
+}
+__name(isArrayBufferView, "isArrayBufferView");
+const isString$3 = typeOfTest("string");
+const isFunction$2 = typeOfTest("function");
+const isNumber$2 = typeOfTest("number");
+const isObject$4 = /* @__PURE__ */ __name((thing) => thing !== null && typeof thing === "object", "isObject$4");
+const isBoolean$2 = /* @__PURE__ */ __name((thing) => thing === true || thing === false, "isBoolean$2");
+const isPlainObject$2 = /* @__PURE__ */ __name((val) => {
+  if (kindOf(val) !== "object") {
+    return false;
+  }
+  const prototype2 = getPrototypeOf(val);
+  return (prototype2 === null || prototype2 === Object.prototype || Object.getPrototypeOf(prototype2) === null) && !(Symbol.toStringTag in val) && !(Symbol.iterator in val);
+}, "isPlainObject$2");
+const isDate$1 = kindOfTest("Date");
+const isFile = kindOfTest("File");
+const isBlob = kindOfTest("Blob");
+const isFileList = kindOfTest("FileList");
+const isStream = /* @__PURE__ */ __name((val) => isObject$4(val) && isFunction$2(val.pipe), "isStream");
+const isFormData = /* @__PURE__ */ __name((thing) => {
+  let kind;
+  return thing && (typeof FormData === "function" && thing instanceof FormData || isFunction$2(thing.append) && ((kind = kindOf(thing)) === "formdata" || // detect form-data instance
+  kind === "object" && isFunction$2(thing.toString) && thing.toString() === "[object FormData]"));
+}, "isFormData");
+const isURLSearchParams = kindOfTest("URLSearchParams");
+const [isReadableStream, isRequest, isResponse, isHeaders] = ["ReadableStream", "Request", "Response", "Headers"].map(kindOfTest);
+const trim = /* @__PURE__ */ __name((str) => str.trim ? str.trim() : str.replace(/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g, ""), "trim");
+function forEach(obj, fn, { allOwnKeys = false } = {}) {
+  if (obj === null || typeof obj === "undefined") {
+    return;
+  }
+  let i2;
+  let l;
+  if (typeof obj !== "object") {
+    obj = [obj];
+  }
+  if (isArray$2(obj)) {
+    for (i2 = 0, l = obj.length; i2 < l; i2++) {
+      fn.call(null, obj[i2], i2, obj);
+    }
+  } else {
+    const keys2 = allOwnKeys ? Object.getOwnPropertyNames(obj) : Object.keys(obj);
+    const len = keys2.length;
+    let key;
+    for (i2 = 0; i2 < len; i2++) {
+      key = keys2[i2];
+      fn.call(null, obj[key], key, obj);
+    }
+  }
+}
+__name(forEach, "forEach");
+function findKey(obj, key) {
+  key = key.toLowerCase();
+  const keys2 = Object.keys(obj);
+  let i2 = keys2.length;
+  let _key;
+  while (i2-- > 0) {
+    _key = keys2[i2];
+    if (key === _key.toLowerCase()) {
+      return _key;
+    }
+  }
+  return null;
+}
+__name(findKey, "findKey");
+const _global$2 = (() => {
+  if (typeof globalThis !== "undefined") return globalThis;
+  return typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : global;
+})();
+const isContextDefined = /* @__PURE__ */ __name((context) => !isUndefined(context) && context !== _global$2, "isContextDefined");
+function merge() {
+  const { caseless } = isContextDefined(this) && this || {};
+  const result = {};
+  const assignValue = /* @__PURE__ */ __name((val, key) => {
+    const targetKey = caseless && findKey(result, key) || key;
+    if (isPlainObject$2(result[targetKey]) && isPlainObject$2(val)) {
+      result[targetKey] = merge(result[targetKey], val);
+    } else if (isPlainObject$2(val)) {
+      result[targetKey] = merge({}, val);
+    } else if (isArray$2(val)) {
+      result[targetKey] = val.slice();
+    } else {
+      result[targetKey] = val;
+    }
+  }, "assignValue");
+  for (let i2 = 0, l = arguments.length; i2 < l; i2++) {
+    arguments[i2] && forEach(arguments[i2], assignValue);
+  }
+  return result;
+}
+__name(merge, "merge");
+const extend = /* @__PURE__ */ __name((a, b, thisArg, { allOwnKeys } = {}) => {
+  forEach(b, (val, key) => {
+    if (thisArg && isFunction$2(val)) {
+      a[key] = bind$2(val, thisArg);
+    } else {
+      a[key] = val;
+    }
+  }, { allOwnKeys });
+  return a;
+}, "extend");
+const stripBOM = /* @__PURE__ */ __name((content) => {
+  if (content.charCodeAt(0) === 65279) {
+    content = content.slice(1);
+  }
+  return content;
+}, "stripBOM");
+const inherits = /* @__PURE__ */ __name((constructor, superConstructor, props, descriptors2) => {
+  constructor.prototype = Object.create(superConstructor.prototype, descriptors2);
+  constructor.prototype.constructor = constructor;
+  Object.defineProperty(constructor, "super", {
+    value: superConstructor.prototype
+  });
+  props && Object.assign(constructor.prototype, props);
+}, "inherits");
+const toFlatObject = /* @__PURE__ */ __name((sourceObj, destObj, filter4, propFilter) => {
+  let props;
+  let i2;
+  let prop2;
+  const merged = {};
+  destObj = destObj || {};
+  if (sourceObj == null) return destObj;
+  do {
+    props = Object.getOwnPropertyNames(sourceObj);
+    i2 = props.length;
+    while (i2-- > 0) {
+      prop2 = props[i2];
+      if ((!propFilter || propFilter(prop2, sourceObj, destObj)) && !merged[prop2]) {
+        destObj[prop2] = sourceObj[prop2];
+        merged[prop2] = true;
+      }
+    }
+    sourceObj = filter4 !== false && getPrototypeOf(sourceObj);
+  } while (sourceObj && (!filter4 || filter4(sourceObj, destObj)) && sourceObj !== Object.prototype);
+  return destObj;
+}, "toFlatObject");
+const endsWith = /* @__PURE__ */ __name((str, searchString, position2) => {
+  str = String(str);
+  if (position2 === void 0 || position2 > str.length) {
+    position2 = str.length;
+  }
+  position2 -= searchString.length;
+  const lastIndex = str.indexOf(searchString, position2);
+  return lastIndex !== -1 && lastIndex === position2;
+}, "endsWith");
+const toArray = /* @__PURE__ */ __name((thing) => {
+  if (!thing) return null;
+  if (isArray$2(thing)) return thing;
+  let i2 = thing.length;
+  if (!isNumber$2(i2)) return null;
+  const arr = new Array(i2);
+  while (i2-- > 0) {
+    arr[i2] = thing[i2];
+  }
+  return arr;
+}, "toArray");
+const isTypedArray = /* @__PURE__ */ ((TypedArray) => {
+  return (thing) => {
+    return TypedArray && thing instanceof TypedArray;
+  };
+})(typeof Uint8Array !== "undefined" && getPrototypeOf(Uint8Array));
+const forEachEntry = /* @__PURE__ */ __name((obj, fn) => {
+  const generator = obj && obj[Symbol.iterator];
+  const iterator = generator.call(obj);
+  let result;
+  while ((result = iterator.next()) && !result.done) {
+    const pair = result.value;
+    fn.call(obj, pair[0], pair[1]);
+  }
+}, "forEachEntry");
+const matchAll = /* @__PURE__ */ __name((regExp, str) => {
+  let matches2;
+  const arr = [];
+  while ((matches2 = regExp.exec(str)) !== null) {
+    arr.push(matches2);
+  }
+  return arr;
+}, "matchAll");
+const isHTMLForm = kindOfTest("HTMLFormElement");
+const toCamelCase = /* @__PURE__ */ __name((str) => {
+  return str.toLowerCase().replace(
+    /[-_\s]([a-z\d])(\w*)/g,
+    /* @__PURE__ */ __name(function replacer2(m, p1, p2) {
+      return p1.toUpperCase() + p2;
+    }, "replacer")
+  );
+}, "toCamelCase");
+const hasOwnProperty$1 = (({ hasOwnProperty: hasOwnProperty2 }) => (obj, prop2) => hasOwnProperty2.call(obj, prop2))(Object.prototype);
+const isRegExp$1 = kindOfTest("RegExp");
+const reduceDescriptors = /* @__PURE__ */ __name((obj, reducer) => {
+  const descriptors2 = Object.getOwnPropertyDescriptors(obj);
+  const reducedDescriptors = {};
+  forEach(descriptors2, (descriptor, name) => {
+    let ret;
+    if ((ret = reducer(descriptor, name, obj)) !== false) {
+      reducedDescriptors[name] = ret || descriptor;
+    }
+  });
+  Object.defineProperties(obj, reducedDescriptors);
+}, "reduceDescriptors");
+const freezeMethods = /* @__PURE__ */ __name((obj) => {
+  reduceDescriptors(obj, (descriptor, name) => {
+    if (isFunction$2(obj) && ["arguments", "caller", "callee"].indexOf(name) !== -1) {
+      return false;
+    }
+    const value3 = obj[name];
+    if (!isFunction$2(value3)) return;
+    descriptor.enumerable = false;
+    if ("writable" in descriptor) {
+      descriptor.writable = false;
+      return;
+    }
+    if (!descriptor.set) {
+      descriptor.set = () => {
+        throw Error("Can not rewrite read-only method '" + name + "'");
+      };
+    }
+  });
+}, "freezeMethods");
+const toObjectSet = /* @__PURE__ */ __name((arrayOrString, delimiter) => {
+  const obj = {};
+  const define = /* @__PURE__ */ __name((arr) => {
+    arr.forEach((value3) => {
+      obj[value3] = true;
+    });
+  }, "define");
+  isArray$2(arrayOrString) ? define(arrayOrString) : define(String(arrayOrString).split(delimiter));
+  return obj;
+}, "toObjectSet");
+const noop$2 = /* @__PURE__ */ __name(() => {
+}, "noop$2");
+const toFiniteNumber = /* @__PURE__ */ __name((value3, defaultValue) => {
+  return value3 != null && Number.isFinite(value3 = +value3) ? value3 : defaultValue;
+}, "toFiniteNumber");
+const ALPHA = "abcdefghijklmnopqrstuvwxyz";
+const DIGIT = "0123456789";
+const ALPHABET = {
+  DIGIT,
+  ALPHA,
+  ALPHA_DIGIT: ALPHA + ALPHA.toUpperCase() + DIGIT
+};
+const generateString = /* @__PURE__ */ __name((size2 = 16, alphabet = ALPHABET.ALPHA_DIGIT) => {
+  let str = "";
+  const { length } = alphabet;
+  while (size2--) {
+    str += alphabet[Math.random() * length | 0];
+  }
+  return str;
+}, "generateString");
+function isSpecCompliantForm(thing) {
+  return !!(thing && isFunction$2(thing.append) && thing[Symbol.toStringTag] === "FormData" && thing[Symbol.iterator]);
+}
+__name(isSpecCompliantForm, "isSpecCompliantForm");
+const toJSONObject = /* @__PURE__ */ __name((obj) => {
+  const stack2 = new Array(10);
+  const visit = /* @__PURE__ */ __name((source, i2) => {
+    if (isObject$4(source)) {
+      if (stack2.indexOf(source) >= 0) {
+        return;
+      }
+      if (!("toJSON" in source)) {
+        stack2[i2] = source;
+        const target = isArray$2(source) ? [] : {};
+        forEach(source, (value3, key) => {
+          const reducedValue = visit(value3, i2 + 1);
+          !isUndefined(reducedValue) && (target[key] = reducedValue);
+        });
+        stack2[i2] = void 0;
+        return target;
+      }
+    }
+    return source;
+  }, "visit");
+  return visit(obj, 0);
+}, "toJSONObject");
+const isAsyncFn = kindOfTest("AsyncFunction");
+const isThenable = /* @__PURE__ */ __name((thing) => thing && (isObject$4(thing) || isFunction$2(thing)) && isFunction$2(thing.then) && isFunction$2(thing.catch), "isThenable");
+const _setImmediate = ((setImmediateSupported, postMessageSupported) => {
+  if (setImmediateSupported) {
+    return setImmediate;
+  }
+  return postMessageSupported ? ((token, callbacks) => {
+    _global$2.addEventListener("message", ({ source, data: data24 }) => {
+      if (source === _global$2 && data24 === token) {
+        callbacks.length && callbacks.shift()();
+      }
+    }, false);
+    return (cb) => {
+      callbacks.push(cb);
+      _global$2.postMessage(token, "*");
+    };
+  })(`axios@${Math.random()}`, []) : (cb) => setTimeout(cb);
+})(
+  typeof setImmediate === "function",
+  isFunction$2(_global$2.postMessage)
+);
+const asap = typeof queueMicrotask !== "undefined" ? queueMicrotask.bind(_global$2) : typeof process !== "undefined" && process.nextTick || _setImmediate;
+const utils$1 = {
+  isArray: isArray$2,
+  isArrayBuffer,
+  isBuffer,
+  isFormData,
+  isArrayBufferView,
+  isString: isString$3,
+  isNumber: isNumber$2,
+  isBoolean: isBoolean$2,
+  isObject: isObject$4,
+  isPlainObject: isPlainObject$2,
+  isReadableStream,
+  isRequest,
+  isResponse,
+  isHeaders,
+  isUndefined,
+  isDate: isDate$1,
+  isFile,
+  isBlob,
+  isRegExp: isRegExp$1,
+  isFunction: isFunction$2,
+  isStream,
+  isURLSearchParams,
+  isTypedArray,
+  isFileList,
+  forEach,
+  merge,
+  extend,
+  trim,
+  stripBOM,
+  inherits,
+  toFlatObject,
+  kindOf,
+  kindOfTest,
+  endsWith,
+  toArray,
+  forEachEntry,
+  matchAll,
+  isHTMLForm,
+  hasOwnProperty: hasOwnProperty$1,
+  hasOwnProp: hasOwnProperty$1,
+  // an alias to avoid ESLint no-prototype-builtins detection
+  reduceDescriptors,
+  freezeMethods,
+  toObjectSet,
+  toCamelCase,
+  noop: noop$2,
+  toFiniteNumber,
+  findKey,
+  global: _global$2,
+  isContextDefined,
+  ALPHABET,
+  generateString,
+  isSpecCompliantForm,
+  toJSONObject,
+  isAsyncFn,
+  isThenable,
+  setImmediate: _setImmediate,
+  asap
+};
+"use strict";
+function AxiosError$1(message3, code2, config, request, response) {
+  Error.call(this);
+  if (Error.captureStackTrace) {
+    Error.captureStackTrace(this, this.constructor);
+  } else {
+    this.stack = new Error().stack;
+  }
+  this.message = message3;
+  this.name = "AxiosError";
+  code2 && (this.code = code2);
+  config && (this.config = config);
+  request && (this.request = request);
+  response && (this.response = response);
+}
+__name(AxiosError$1, "AxiosError$1");
+utils$1.inherits(AxiosError$1, Error, {
+  toJSON: /* @__PURE__ */ __name(function toJSON() {
+    return {
+      // Standard
+      message: this.message,
+      name: this.name,
+      // Microsoft
+      description: this.description,
+      number: this.number,
+      // Mozilla
+      fileName: this.fileName,
+      lineNumber: this.lineNumber,
+      columnNumber: this.columnNumber,
+      stack: this.stack,
+      // Axios
+      config: utils$1.toJSONObject(this.config),
+      code: this.code,
+      status: this.response && this.response.status ? this.response.status : null
+    };
+  }, "toJSON")
+});
+const prototype$1 = AxiosError$1.prototype;
+const descriptors = {};
+[
+  "ERR_BAD_OPTION_VALUE",
+  "ERR_BAD_OPTION",
+  "ECONNABORTED",
+  "ETIMEDOUT",
+  "ERR_NETWORK",
+  "ERR_FR_TOO_MANY_REDIRECTS",
+  "ERR_DEPRECATED",
+  "ERR_BAD_RESPONSE",
+  "ERR_BAD_REQUEST",
+  "ERR_CANCELED",
+  "ERR_NOT_SUPPORT",
+  "ERR_INVALID_URL"
+  // eslint-disable-next-line func-names
+].forEach((code2) => {
+  descriptors[code2] = { value: code2 };
+});
+Object.defineProperties(AxiosError$1, descriptors);
+Object.defineProperty(prototype$1, "isAxiosError", { value: true });
+AxiosError$1.from = (error, code2, config, request, response, customProps) => {
+  const axiosError = Object.create(prototype$1);
+  utils$1.toFlatObject(error, axiosError, /* @__PURE__ */ __name(function filter4(obj) {
+    return obj !== Error.prototype;
+  }, "filter"), (prop2) => {
+    return prop2 !== "isAxiosError";
+  });
+  AxiosError$1.call(axiosError, error.message, code2, config, request, response);
+  axiosError.cause = error;
+  axiosError.name = error.name;
+  customProps && Object.assign(axiosError, customProps);
+  return axiosError;
+};
+const httpAdapter = null;
+"use strict";
+function isVisitable(thing) {
+  return utils$1.isPlainObject(thing) || utils$1.isArray(thing);
+}
+__name(isVisitable, "isVisitable");
+function removeBrackets(key) {
+  return utils$1.endsWith(key, "[]") ? key.slice(0, -2) : key;
+}
+__name(removeBrackets, "removeBrackets");
+function renderKey(path, key, dots) {
+  if (!path) return key;
+  return path.concat(key).map(/* @__PURE__ */ __name(function each(token, i2) {
+    token = removeBrackets(token);
+    return !dots && i2 ? "[" + token + "]" : token;
+  }, "each")).join(dots ? "." : "");
+}
+__name(renderKey, "renderKey");
+function isFlatArray(arr) {
+  return utils$1.isArray(arr) && !arr.some(isVisitable);
+}
+__name(isFlatArray, "isFlatArray");
+const predicates = utils$1.toFlatObject(utils$1, {}, null, /* @__PURE__ */ __name(function filter3(prop2) {
+  return /^is[A-Z]/.test(prop2);
+}, "filter"));
+function toFormData$1(obj, formData, options3) {
+  if (!utils$1.isObject(obj)) {
+    throw new TypeError("target must be an object");
+  }
+  formData = formData || new (httpAdapter || FormData)();
+  options3 = utils$1.toFlatObject(options3, {
+    metaTokens: true,
+    dots: false,
+    indexes: false
+  }, false, /* @__PURE__ */ __name(function defined(option4, source) {
+    return !utils$1.isUndefined(source[option4]);
+  }, "defined"));
+  const metaTokens = options3.metaTokens;
+  const visitor = options3.visitor || defaultVisitor;
+  const dots = options3.dots;
+  const indexes = options3.indexes;
+  const _Blob = options3.Blob || typeof Blob !== "undefined" && Blob;
+  const useBlob = _Blob && utils$1.isSpecCompliantForm(formData);
+  if (!utils$1.isFunction(visitor)) {
+    throw new TypeError("visitor must be a function");
+  }
+  function convertValue(value3) {
+    if (value3 === null) return "";
+    if (utils$1.isDate(value3)) {
+      return value3.toISOString();
+    }
+    if (!useBlob && utils$1.isBlob(value3)) {
+      throw new AxiosError$1("Blob is not supported. Use a Buffer instead.");
+    }
+    if (utils$1.isArrayBuffer(value3) || utils$1.isTypedArray(value3)) {
+      return useBlob && typeof Blob === "function" ? new Blob([value3]) : Buffer.from(value3);
+    }
+    return value3;
+  }
+  __name(convertValue, "convertValue");
+  function defaultVisitor(value3, key, path) {
+    let arr = value3;
+    if (value3 && !path && typeof value3 === "object") {
+      if (utils$1.endsWith(key, "{}")) {
+        key = metaTokens ? key : key.slice(0, -2);
+        value3 = JSON.stringify(value3);
+      } else if (utils$1.isArray(value3) && isFlatArray(value3) || (utils$1.isFileList(value3) || utils$1.endsWith(key, "[]")) && (arr = utils$1.toArray(value3))) {
+        key = removeBrackets(key);
+        arr.forEach(/* @__PURE__ */ __name(function each(el, index2) {
+          !(utils$1.isUndefined(el) || el === null) && formData.append(
+            // eslint-disable-next-line no-nested-ternary
+            indexes === true ? renderKey([key], index2, dots) : indexes === null ? key : key + "[]",
+            convertValue(el)
+          );
+        }, "each"));
+        return false;
+      }
+    }
+    if (isVisitable(value3)) {
+      return true;
+    }
+    formData.append(renderKey(path, key, dots), convertValue(value3));
+    return false;
+  }
+  __name(defaultVisitor, "defaultVisitor");
+  const stack2 = [];
+  const exposedHelpers = Object.assign(predicates, {
+    defaultVisitor,
+    convertValue,
+    isVisitable
+  });
+  function build(value3, path) {
+    if (utils$1.isUndefined(value3)) return;
+    if (stack2.indexOf(value3) !== -1) {
+      throw Error("Circular reference detected in " + path.join("."));
+    }
+    stack2.push(value3);
+    utils$1.forEach(value3, /* @__PURE__ */ __name(function each(el, key) {
+      const result = !(utils$1.isUndefined(el) || el === null) && visitor.call(
+        formData,
+        el,
+        utils$1.isString(key) ? key.trim() : key,
+        path,
+        exposedHelpers
+      );
+      if (result === true) {
+        build(el, path ? path.concat(key) : [key]);
+      }
+    }, "each"));
+    stack2.pop();
+  }
+  __name(build, "build");
+  if (!utils$1.isObject(obj)) {
+    throw new TypeError("data must be an object");
+  }
+  build(obj);
+  return formData;
+}
+__name(toFormData$1, "toFormData$1");
+"use strict";
+function encode$1(str) {
+  const charMap = {
+    "!": "%21",
+    "'": "%27",
+    "(": "%28",
+    ")": "%29",
+    "~": "%7E",
+    "%20": "+",
+    "%00": "\0"
+  };
+  return encodeURIComponent(str).replace(/[!'()~]|%20|%00/g, /* @__PURE__ */ __name(function replacer2(match) {
+    return charMap[match];
+  }, "replacer"));
+}
+__name(encode$1, "encode$1");
+function AxiosURLSearchParams(params, options3) {
+  this._pairs = [];
+  params && toFormData$1(params, this, options3);
+}
+__name(AxiosURLSearchParams, "AxiosURLSearchParams");
+const prototype = AxiosURLSearchParams.prototype;
+prototype.append = /* @__PURE__ */ __name(function append(name, value3) {
+  this._pairs.push([name, value3]);
+}, "append");
+prototype.toString = /* @__PURE__ */ __name(function toString2(encoder) {
+  const _encode = encoder ? function(value3) {
+    return encoder.call(this, value3, encode$1);
+  } : encode$1;
+  return this._pairs.map(/* @__PURE__ */ __name(function each(pair) {
+    return _encode(pair[0]) + "=" + _encode(pair[1]);
+  }, "each"), "").join("&");
+}, "toString");
+"use strict";
+function encode(val) {
+  return encodeURIComponent(val).replace(/%3A/gi, ":").replace(/%24/g, "$").replace(/%2C/gi, ",").replace(/%20/g, "+").replace(/%5B/gi, "[").replace(/%5D/gi, "]");
+}
+__name(encode, "encode");
+function buildURL(url, params, options3) {
+  if (!params) {
+    return url;
+  }
+  const _encode = options3 && options3.encode || encode;
+  const serializeFn = options3 && options3.serialize;
+  let serializedParams;
+  if (serializeFn) {
+    serializedParams = serializeFn(params, options3);
+  } else {
+    serializedParams = utils$1.isURLSearchParams(params) ? params.toString() : new AxiosURLSearchParams(params, options3).toString(_encode);
+  }
+  if (serializedParams) {
+    const hashmarkIndex = url.indexOf("#");
+    if (hashmarkIndex !== -1) {
+      url = url.slice(0, hashmarkIndex);
+    }
+    url += (url.indexOf("?") === -1 ? "?" : "&") + serializedParams;
+  }
+  return url;
+}
+__name(buildURL, "buildURL");
+"use strict";
+class InterceptorManager {
+  static {
+    __name(this, "InterceptorManager");
+  }
+  constructor() {
+    this.handlers = [];
+  }
+  /**
+   * Add a new interceptor to the stack
+   *
+   * @param {Function} fulfilled The function to handle `then` for a `Promise`
+   * @param {Function} rejected The function to handle `reject` for a `Promise`
+   *
+   * @return {Number} An ID used to remove interceptor later
+   */
+  use(fulfilled, rejected, options3) {
+    this.handlers.push({
+      fulfilled,
+      rejected,
+      synchronous: options3 ? options3.synchronous : false,
+      runWhen: options3 ? options3.runWhen : null
+    });
+    return this.handlers.length - 1;
+  }
+  /**
+   * Remove an interceptor from the stack
+   *
+   * @param {Number} id The ID that was returned by `use`
+   *
+   * @returns {Boolean} `true` if the interceptor was removed, `false` otherwise
+   */
+  eject(id2) {
+    if (this.handlers[id2]) {
+      this.handlers[id2] = null;
+    }
+  }
+  /**
+   * Clear all interceptors from the stack
+   *
+   * @returns {void}
+   */
+  clear() {
+    if (this.handlers) {
+      this.handlers = [];
+    }
+  }
+  /**
+   * Iterate over all the registered interceptors
+   *
+   * This method is particularly useful for skipping over any
+   * interceptors that may have become `null` calling `eject`.
+   *
+   * @param {Function} fn The function to call for each interceptor
+   *
+   * @returns {void}
+   */
+  forEach(fn) {
+    utils$1.forEach(this.handlers, /* @__PURE__ */ __name(function forEachHandler(h2) {
+      if (h2 !== null) {
+        fn(h2);
+      }
+    }, "forEachHandler"));
+  }
+}
+"use strict";
+const transitionalDefaults = {
+  silentJSONParsing: true,
+  forcedJSONParsing: true,
+  clarifyTimeoutError: false
+};
+"use strict";
+const URLSearchParams$1 = typeof URLSearchParams !== "undefined" ? URLSearchParams : AxiosURLSearchParams;
+"use strict";
+const FormData$1 = typeof FormData !== "undefined" ? FormData : null;
+"use strict";
+const Blob$1 = typeof Blob !== "undefined" ? Blob : null;
+const platform$1 = {
+  isBrowser: true,
+  classes: {
+    URLSearchParams: URLSearchParams$1,
+    FormData: FormData$1,
+    Blob: Blob$1
+  },
+  protocols: ["http", "https", "file", "blob", "url", "data"]
+};
+const hasBrowserEnv = typeof window !== "undefined" && typeof document !== "undefined";
+const hasStandardBrowserEnv = ((product) => {
+  return hasBrowserEnv && ["ReactNative", "NativeScript", "NS"].indexOf(product) < 0;
+})(typeof navigator !== "undefined" && navigator.product);
+const hasStandardBrowserWebWorkerEnv = (() => {
+  return typeof WorkerGlobalScope !== "undefined" && // eslint-disable-next-line no-undef
+  self instanceof WorkerGlobalScope && typeof self.importScripts === "function";
+})();
+const origin = hasBrowserEnv && window.location.href || "http://localhost";
+const utils = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({
+  __proto__: null,
+  hasBrowserEnv,
+  hasStandardBrowserEnv,
+  hasStandardBrowserWebWorkerEnv,
+  origin
+}, Symbol.toStringTag, { value: "Module" }));
+const platform = {
+  ...utils,
+  ...platform$1
+};
+"use strict";
+function toURLEncodedForm(data24, options3) {
+  return toFormData$1(data24, new platform.classes.URLSearchParams(), Object.assign({
+    visitor: /* @__PURE__ */ __name(function(value3, key, path, helpers) {
+      if (platform.isNode && utils$1.isBuffer(value3)) {
+        this.append(key, value3.toString("base64"));
+        return false;
+      }
+      return helpers.defaultVisitor.apply(this, arguments);
+    }, "visitor")
+  }, options3));
+}
+__name(toURLEncodedForm, "toURLEncodedForm");
+"use strict";
+function parsePropPath(name) {
+  return utils$1.matchAll(/\w+|\[(\w*)]/g, name).map((match) => {
+    return match[0] === "[]" ? "" : match[1] || match[0];
+  });
+}
+__name(parsePropPath, "parsePropPath");
+function arrayToObject(arr) {
+  const obj = {};
+  const keys2 = Object.keys(arr);
+  let i2;
+  const len = keys2.length;
+  let key;
+  for (i2 = 0; i2 < len; i2++) {
+    key = keys2[i2];
+    obj[key] = arr[key];
+  }
+  return obj;
+}
+__name(arrayToObject, "arrayToObject");
+function formDataToJSON(formData) {
+  function buildPath(path, value3, target, index2) {
+    let name = path[index2++];
+    if (name === "__proto__") return true;
+    const isNumericKey = Number.isFinite(+name);
+    const isLast = index2 >= path.length;
+    name = !name && utils$1.isArray(target) ? target.length : name;
+    if (isLast) {
+      if (utils$1.hasOwnProp(target, name)) {
+        target[name] = [target[name], value3];
+      } else {
+        target[name] = value3;
+      }
+      return !isNumericKey;
+    }
+    if (!target[name] || !utils$1.isObject(target[name])) {
+      target[name] = [];
+    }
+    const result = buildPath(path, value3, target[name], index2);
+    if (result && utils$1.isArray(target[name])) {
+      target[name] = arrayToObject(target[name]);
+    }
+    return !isNumericKey;
+  }
+  __name(buildPath, "buildPath");
+  if (utils$1.isFormData(formData) && utils$1.isFunction(formData.entries)) {
+    const obj = {};
+    utils$1.forEachEntry(formData, (name, value3) => {
+      buildPath(parsePropPath(name), value3, obj, 0);
+    });
+    return obj;
+  }
+  return null;
+}
+__name(formDataToJSON, "formDataToJSON");
+"use strict";
+function stringifySafely(rawValue, parser, encoder) {
+  if (utils$1.isString(rawValue)) {
+    try {
+      (parser || JSON.parse)(rawValue);
+      return utils$1.trim(rawValue);
+    } catch (e) {
+      if (e.name !== "SyntaxError") {
+        throw e;
+      }
+    }
+  }
+  return (encoder || JSON.stringify)(rawValue);
+}
+__name(stringifySafely, "stringifySafely");
+const defaults$1 = {
+  transitional: transitionalDefaults,
+  adapter: ["xhr", "http", "fetch"],
+  transformRequest: [/* @__PURE__ */ __name(function transformRequest(data24, headers) {
+    const contentType = headers.getContentType() || "";
+    const hasJSONContentType = contentType.indexOf("application/json") > -1;
+    const isObjectPayload = utils$1.isObject(data24);
+    if (isObjectPayload && utils$1.isHTMLForm(data24)) {
+      data24 = new FormData(data24);
+    }
+    const isFormData2 = utils$1.isFormData(data24);
+    if (isFormData2) {
+      return hasJSONContentType ? JSON.stringify(formDataToJSON(data24)) : data24;
+    }
+    if (utils$1.isArrayBuffer(data24) || utils$1.isBuffer(data24) || utils$1.isStream(data24) || utils$1.isFile(data24) || utils$1.isBlob(data24) || utils$1.isReadableStream(data24)) {
+      return data24;
+    }
+    if (utils$1.isArrayBufferView(data24)) {
+      return data24.buffer;
+    }
+    if (utils$1.isURLSearchParams(data24)) {
+      headers.setContentType("application/x-www-form-urlencoded;charset=utf-8", false);
+      return data24.toString();
+    }
+    let isFileList2;
+    if (isObjectPayload) {
+      if (contentType.indexOf("application/x-www-form-urlencoded") > -1) {
+        return toURLEncodedForm(data24, this.formSerializer).toString();
+      }
+      if ((isFileList2 = utils$1.isFileList(data24)) || contentType.indexOf("multipart/form-data") > -1) {
+        const _FormData = this.env && this.env.FormData;
+        return toFormData$1(
+          isFileList2 ? { "files[]": data24 } : data24,
+          _FormData && new _FormData(),
+          this.formSerializer
+        );
+      }
+    }
+    if (isObjectPayload || hasJSONContentType) {
+      headers.setContentType("application/json", false);
+      return stringifySafely(data24);
+    }
+    return data24;
+  }, "transformRequest")],
+  transformResponse: [/* @__PURE__ */ __name(function transformResponse(data24) {
+    const transitional2 = this.transitional || defaults$1.transitional;
+    const forcedJSONParsing = transitional2 && transitional2.forcedJSONParsing;
+    const JSONRequested = this.responseType === "json";
+    if (utils$1.isResponse(data24) || utils$1.isReadableStream(data24)) {
+      return data24;
+    }
+    if (data24 && utils$1.isString(data24) && (forcedJSONParsing && !this.responseType || JSONRequested)) {
+      const silentJSONParsing = transitional2 && transitional2.silentJSONParsing;
+      const strictJSONParsing = !silentJSONParsing && JSONRequested;
+      try {
+        return JSON.parse(data24);
+      } catch (e) {
+        if (strictJSONParsing) {
+          if (e.name === "SyntaxError") {
+            throw AxiosError$1.from(e, AxiosError$1.ERR_BAD_RESPONSE, this, null, this.response);
+          }
+          throw e;
+        }
+      }
+    }
+    return data24;
+  }, "transformResponse")],
+  /**
+   * A timeout in milliseconds to abort a request. If set to 0 (default) a
+   * timeout is not created.
+   */
+  timeout: 0,
+  xsrfCookieName: "XSRF-TOKEN",
+  xsrfHeaderName: "X-XSRF-TOKEN",
+  maxContentLength: -1,
+  maxBodyLength: -1,
+  env: {
+    FormData: platform.classes.FormData,
+    Blob: platform.classes.Blob
+  },
+  validateStatus: /* @__PURE__ */ __name(function validateStatus(status) {
+    return status >= 200 && status < 300;
+  }, "validateStatus"),
+  headers: {
+    common: {
+      "Accept": "application/json, text/plain, */*",
+      "Content-Type": void 0
+    }
+  }
+};
+utils$1.forEach(["delete", "get", "head", "post", "put", "patch"], (method) => {
+  defaults$1.headers[method] = {};
+});
+"use strict";
+const ignoreDuplicateOf = utils$1.toObjectSet([
+  "age",
+  "authorization",
+  "content-length",
+  "content-type",
+  "etag",
+  "expires",
+  "from",
+  "host",
+  "if-modified-since",
+  "if-unmodified-since",
+  "last-modified",
+  "location",
+  "max-forwards",
+  "proxy-authorization",
+  "referer",
+  "retry-after",
+  "user-agent"
+]);
+const parseHeaders = /* @__PURE__ */ __name((rawHeaders) => {
+  const parsed = {};
+  let key;
+  let val;
+  let i2;
+  rawHeaders && rawHeaders.split("\n").forEach(/* @__PURE__ */ __name(function parser(line) {
+    i2 = line.indexOf(":");
+    key = line.substring(0, i2).trim().toLowerCase();
+    val = line.substring(i2 + 1).trim();
+    if (!key || parsed[key] && ignoreDuplicateOf[key]) {
+      return;
+    }
+    if (key === "set-cookie") {
+      if (parsed[key]) {
+        parsed[key].push(val);
+      } else {
+        parsed[key] = [val];
+      }
+    } else {
+      parsed[key] = parsed[key] ? parsed[key] + ", " + val : val;
+    }
+  }, "parser"));
+  return parsed;
+}, "parseHeaders");
+"use strict";
+const $internals = Symbol("internals");
+function normalizeHeader(header) {
+  return header && String(header).trim().toLowerCase();
+}
+__name(normalizeHeader, "normalizeHeader");
+function normalizeValue(value3) {
+  if (value3 === false || value3 == null) {
+    return value3;
+  }
+  return utils$1.isArray(value3) ? value3.map(normalizeValue) : String(value3);
+}
+__name(normalizeValue, "normalizeValue");
+function parseTokens(str) {
+  const tokens = /* @__PURE__ */ Object.create(null);
+  const tokensRE = /([^\s,;=]+)\s*(?:=\s*([^,;]+))?/g;
+  let match;
+  while (match = tokensRE.exec(str)) {
+    tokens[match[1]] = match[2];
+  }
+  return tokens;
+}
+__name(parseTokens, "parseTokens");
+const isValidHeaderName = /* @__PURE__ */ __name((str) => /^[-_a-zA-Z0-9^`|~,!#$%&'*+.]+$/.test(str.trim()), "isValidHeaderName");
+function matchHeaderValue(context, value3, header, filter4, isHeaderNameFilter) {
+  if (utils$1.isFunction(filter4)) {
+    return filter4.call(this, value3, header);
+  }
+  if (isHeaderNameFilter) {
+    value3 = header;
+  }
+  if (!utils$1.isString(value3)) return;
+  if (utils$1.isString(filter4)) {
+    return value3.indexOf(filter4) !== -1;
+  }
+  if (utils$1.isRegExp(filter4)) {
+    return filter4.test(value3);
+  }
+}
+__name(matchHeaderValue, "matchHeaderValue");
+function formatHeader(header) {
+  return header.trim().toLowerCase().replace(/([a-z\d])(\w*)/g, (w2, char, str) => {
+    return char.toUpperCase() + str;
+  });
+}
+__name(formatHeader, "formatHeader");
+function buildAccessors(obj, header) {
+  const accessorName = utils$1.toCamelCase(" " + header);
+  ["get", "set", "has"].forEach((methodName) => {
+    Object.defineProperty(obj, methodName + accessorName, {
+      value: /* @__PURE__ */ __name(function(arg1, arg2, arg3) {
+        return this[methodName].call(this, header, arg1, arg2, arg3);
+      }, "value"),
+      configurable: true
+    });
+  });
+}
+__name(buildAccessors, "buildAccessors");
+let AxiosHeaders$1 = class AxiosHeaders2 {
+  static {
+    __name(this, "AxiosHeaders");
+  }
+  constructor(headers) {
+    headers && this.set(headers);
+  }
+  set(header, valueOrRewrite, rewrite) {
+    const self2 = this;
+    function setHeader(_value, _header, _rewrite) {
+      const lHeader = normalizeHeader(_header);
+      if (!lHeader) {
+        throw new Error("header name must be a non-empty string");
+      }
+      const key = utils$1.findKey(self2, lHeader);
+      if (!key || self2[key] === void 0 || _rewrite === true || _rewrite === void 0 && self2[key] !== false) {
+        self2[key || _header] = normalizeValue(_value);
+      }
+    }
+    __name(setHeader, "setHeader");
+    const setHeaders = /* @__PURE__ */ __name((headers, _rewrite) => utils$1.forEach(headers, (_value, _header) => setHeader(_value, _header, _rewrite)), "setHeaders");
+    if (utils$1.isPlainObject(header) || header instanceof this.constructor) {
+      setHeaders(header, valueOrRewrite);
+    } else if (utils$1.isString(header) && (header = header.trim()) && !isValidHeaderName(header)) {
+      setHeaders(parseHeaders(header), valueOrRewrite);
+    } else if (utils$1.isHeaders(header)) {
+      for (const [key, value3] of header.entries()) {
+        setHeader(value3, key, rewrite);
+      }
+    } else {
+      header != null && setHeader(valueOrRewrite, header, rewrite);
+    }
+    return this;
+  }
+  get(header, parser) {
+    header = normalizeHeader(header);
+    if (header) {
+      const key = utils$1.findKey(this, header);
+      if (key) {
+        const value3 = this[key];
+        if (!parser) {
+          return value3;
+        }
+        if (parser === true) {
+          return parseTokens(value3);
+        }
+        if (utils$1.isFunction(parser)) {
+          return parser.call(this, value3, key);
+        }
+        if (utils$1.isRegExp(parser)) {
+          return parser.exec(value3);
+        }
+        throw new TypeError("parser must be boolean|regexp|function");
+      }
+    }
+  }
+  has(header, matcher) {
+    header = normalizeHeader(header);
+    if (header) {
+      const key = utils$1.findKey(this, header);
+      return !!(key && this[key] !== void 0 && (!matcher || matchHeaderValue(this, this[key], key, matcher)));
+    }
+    return false;
+  }
+  delete(header, matcher) {
+    const self2 = this;
+    let deleted = false;
+    function deleteHeader(_header) {
+      _header = normalizeHeader(_header);
+      if (_header) {
+        const key = utils$1.findKey(self2, _header);
+        if (key && (!matcher || matchHeaderValue(self2, self2[key], key, matcher))) {
+          delete self2[key];
+          deleted = true;
+        }
+      }
+    }
+    __name(deleteHeader, "deleteHeader");
+    if (utils$1.isArray(header)) {
+      header.forEach(deleteHeader);
+    } else {
+      deleteHeader(header);
+    }
+    return deleted;
+  }
+  clear(matcher) {
+    const keys2 = Object.keys(this);
+    let i2 = keys2.length;
+    let deleted = false;
+    while (i2--) {
+      const key = keys2[i2];
+      if (!matcher || matchHeaderValue(this, this[key], key, matcher, true)) {
+        delete this[key];
+        deleted = true;
+      }
+    }
+    return deleted;
+  }
+  normalize(format2) {
+    const self2 = this;
+    const headers = {};
+    utils$1.forEach(this, (value3, header) => {
+      const key = utils$1.findKey(headers, header);
+      if (key) {
+        self2[key] = normalizeValue(value3);
+        delete self2[header];
+        return;
+      }
+      const normalized = format2 ? formatHeader(header) : String(header).trim();
+      if (normalized !== header) {
+        delete self2[header];
+      }
+      self2[normalized] = normalizeValue(value3);
+      headers[normalized] = true;
+    });
+    return this;
+  }
+  concat(...targets) {
+    return this.constructor.concat(this, ...targets);
+  }
+  toJSON(asStrings) {
+    const obj = /* @__PURE__ */ Object.create(null);
+    utils$1.forEach(this, (value3, header) => {
+      value3 != null && value3 !== false && (obj[header] = asStrings && utils$1.isArray(value3) ? value3.join(", ") : value3);
+    });
+    return obj;
+  }
+  [Symbol.iterator]() {
+    return Object.entries(this.toJSON())[Symbol.iterator]();
+  }
+  toString() {
+    return Object.entries(this.toJSON()).map(([header, value3]) => header + ": " + value3).join("\n");
+  }
+  get [Symbol.toStringTag]() {
+    return "AxiosHeaders";
+  }
+  static from(thing) {
+    return thing instanceof this ? thing : new this(thing);
+  }
+  static concat(first, ...targets) {
+    const computed2 = new this(first);
+    targets.forEach((target) => computed2.set(target));
+    return computed2;
+  }
+  static accessor(header) {
+    const internals = this[$internals] = this[$internals] = {
+      accessors: {}
+    };
+    const accessors = internals.accessors;
+    const prototype2 = this.prototype;
+    function defineAccessor(_header) {
+      const lHeader = normalizeHeader(_header);
+      if (!accessors[lHeader]) {
+        buildAccessors(prototype2, _header);
+        accessors[lHeader] = true;
+      }
+    }
+    __name(defineAccessor, "defineAccessor");
+    utils$1.isArray(header) ? header.forEach(defineAccessor) : defineAccessor(header);
+    return this;
+  }
+};
+AxiosHeaders$1.accessor(["Content-Type", "Content-Length", "Accept", "Accept-Encoding", "User-Agent", "Authorization"]);
+utils$1.reduceDescriptors(AxiosHeaders$1.prototype, ({ value: value3 }, key) => {
+  let mapped = key[0].toUpperCase() + key.slice(1);
+  return {
+    get: /* @__PURE__ */ __name(() => value3, "get"),
+    set(headerValue) {
+      this[mapped] = headerValue;
+    }
+  };
+});
+utils$1.freezeMethods(AxiosHeaders$1);
+"use strict";
+function transformData(fns, response) {
+  const config = this || defaults$1;
+  const context = response || config;
+  const headers = AxiosHeaders$1.from(context.headers);
+  let data24 = context.data;
+  utils$1.forEach(fns, /* @__PURE__ */ __name(function transform2(fn) {
+    data24 = fn.call(config, data24, headers.normalize(), response ? response.status : void 0);
+  }, "transform"));
+  headers.normalize();
+  return data24;
+}
+__name(transformData, "transformData");
+"use strict";
+function isCancel$1(value3) {
+  return !!(value3 && value3.__CANCEL__);
+}
+__name(isCancel$1, "isCancel$1");
+"use strict";
+function CanceledError$1(message3, config, request) {
+  AxiosError$1.call(this, message3 == null ? "canceled" : message3, AxiosError$1.ERR_CANCELED, config, request);
+  this.name = "CanceledError";
+}
+__name(CanceledError$1, "CanceledError$1");
+utils$1.inherits(CanceledError$1, AxiosError$1, {
+  __CANCEL__: true
+});
+"use strict";
+function settle(resolve8, reject2, response) {
+  const validateStatus2 = response.config.validateStatus;
+  if (!response.status || !validateStatus2 || validateStatus2(response.status)) {
+    resolve8(response);
+  } else {
+    reject2(new AxiosError$1(
+      "Request failed with status code " + response.status,
+      [AxiosError$1.ERR_BAD_REQUEST, AxiosError$1.ERR_BAD_RESPONSE][Math.floor(response.status / 100) - 4],
+      response.config,
+      response.request,
+      response
+    ));
+  }
+}
+__name(settle, "settle");
+"use strict";
+function parseProtocol(url) {
+  const match = /^([-+\w]{1,25})(:?\/\/|:)/.exec(url);
+  return match && match[1] || "";
+}
+__name(parseProtocol, "parseProtocol");
+"use strict";
+function speedometer(samplesCount, min) {
+  samplesCount = samplesCount || 10;
+  const bytes = new Array(samplesCount);
+  const timestamps = new Array(samplesCount);
+  let head = 0;
+  let tail = 0;
+  let firstSampleTS;
+  min = min !== void 0 ? min : 1e3;
+  return /* @__PURE__ */ __name(function push(chunkLength) {
+    const now2 = Date.now();
+    const startedAt = timestamps[tail];
+    if (!firstSampleTS) {
+      firstSampleTS = now2;
+    }
+    bytes[head] = chunkLength;
+    timestamps[head] = now2;
+    let i2 = tail;
+    let bytesCount = 0;
+    while (i2 !== head) {
+      bytesCount += bytes[i2++];
+      i2 = i2 % samplesCount;
+    }
+    head = (head + 1) % samplesCount;
+    if (head === tail) {
+      tail = (tail + 1) % samplesCount;
+    }
+    if (now2 - firstSampleTS < min) {
+      return;
+    }
+    const passed = startedAt && now2 - startedAt;
+    return passed ? Math.round(bytesCount * 1e3 / passed) : void 0;
+  }, "push");
+}
+__name(speedometer, "speedometer");
+function throttle(fn, freq) {
+  let timestamp2 = 0;
+  let threshold = 1e3 / freq;
+  let lastArgs;
+  let timer;
+  const invoke2 = /* @__PURE__ */ __name((args, now2 = Date.now()) => {
+    timestamp2 = now2;
+    lastArgs = null;
+    if (timer) {
+      clearTimeout(timer);
+      timer = null;
+    }
+    fn.apply(null, args);
+  }, "invoke");
+  const throttled = /* @__PURE__ */ __name((...args) => {
+    const now2 = Date.now();
+    const passed = now2 - timestamp2;
+    if (passed >= threshold) {
+      invoke2(args, now2);
+    } else {
+      lastArgs = args;
+      if (!timer) {
+        timer = setTimeout(() => {
+          timer = null;
+          invoke2(lastArgs);
+        }, threshold - passed);
+      }
+    }
+  }, "throttled");
+  const flush = /* @__PURE__ */ __name(() => lastArgs && invoke2(lastArgs), "flush");
+  return [throttled, flush];
+}
+__name(throttle, "throttle");
+const progressEventReducer = /* @__PURE__ */ __name((listener, isDownloadStream, freq = 3) => {
+  let bytesNotified = 0;
+  const _speedometer = speedometer(50, 250);
+  return throttle((e) => {
+    const loaded = e.loaded;
+    const total = e.lengthComputable ? e.total : void 0;
+    const progressBytes = loaded - bytesNotified;
+    const rate = _speedometer(progressBytes);
+    const inRange = loaded <= total;
+    bytesNotified = loaded;
+    const data24 = {
+      loaded,
+      total,
+      progress: total ? loaded / total : void 0,
+      bytes: progressBytes,
+      rate: rate ? rate : void 0,
+      estimated: rate && total && inRange ? (total - loaded) / rate : void 0,
+      event: e,
+      lengthComputable: total != null,
+      [isDownloadStream ? "download" : "upload"]: true
+    };
+    listener(data24);
+  }, freq);
+}, "progressEventReducer");
+const progressEventDecorator = /* @__PURE__ */ __name((total, throttled) => {
+  const lengthComputable = total != null;
+  return [(loaded) => throttled[0]({
+    lengthComputable,
+    total,
+    loaded
+  }), throttled[1]];
+}, "progressEventDecorator");
+const asyncDecorator = /* @__PURE__ */ __name((fn) => (...args) => utils$1.asap(() => fn(...args)), "asyncDecorator");
+"use strict";
+const isURLSameOrigin = platform.hasStandardBrowserEnv ? (
+  // Standard browser envs have full support of the APIs needed to test
+  // whether the request URL is of the same origin as current location.
+  (/* @__PURE__ */ __name(function standardBrowserEnv() {
+    const msie = /(msie|trident)/i.test(navigator.userAgent);
+    const urlParsingNode = document.createElement("a");
+    let originURL;
+    function resolveURL(url) {
+      let href = url;
+      if (msie) {
+        urlParsingNode.setAttribute("href", href);
+        href = urlParsingNode.href;
+      }
+      urlParsingNode.setAttribute("href", href);
+      return {
+        href: urlParsingNode.href,
+        protocol: urlParsingNode.protocol ? urlParsingNode.protocol.replace(/:$/, "") : "",
+        host: urlParsingNode.host,
+        search: urlParsingNode.search ? urlParsingNode.search.replace(/^\?/, "") : "",
+        hash: urlParsingNode.hash ? urlParsingNode.hash.replace(/^#/, "") : "",
+        hostname: urlParsingNode.hostname,
+        port: urlParsingNode.port,
+        pathname: urlParsingNode.pathname.charAt(0) === "/" ? urlParsingNode.pathname : "/" + urlParsingNode.pathname
+      };
+    }
+    __name(resolveURL, "resolveURL");
+    originURL = resolveURL(window.location.href);
+    return /* @__PURE__ */ __name(function isURLSameOrigin2(requestURL) {
+      const parsed = utils$1.isString(requestURL) ? resolveURL(requestURL) : requestURL;
+      return parsed.protocol === originURL.protocol && parsed.host === originURL.host;
+    }, "isURLSameOrigin");
+  }, "standardBrowserEnv"))()
+) : (
+  // Non standard browser envs (web workers, react-native) lack needed support.
+  (/* @__PURE__ */ __name(function nonStandardBrowserEnv() {
+    return /* @__PURE__ */ __name(function isURLSameOrigin2() {
+      return true;
+    }, "isURLSameOrigin");
+  }, "nonStandardBrowserEnv"))()
+);
+const cookies = platform.hasStandardBrowserEnv ? (
+  // Standard browser envs support document.cookie
+  {
+    write(name, value3, expires, path, domain, secure) {
+      const cookie = [name + "=" + encodeURIComponent(value3)];
+      utils$1.isNumber(expires) && cookie.push("expires=" + new Date(expires).toGMTString());
+      utils$1.isString(path) && cookie.push("path=" + path);
+      utils$1.isString(domain) && cookie.push("domain=" + domain);
+      secure === true && cookie.push("secure");
+      document.cookie = cookie.join("; ");
+    },
+    read(name) {
+      const match = document.cookie.match(new RegExp("(^|;\\s*)(" + name + ")=([^;]*)"));
+      return match ? decodeURIComponent(match[3]) : null;
+    },
+    remove(name) {
+      this.write(name, "", Date.now() - 864e5);
+    }
+  }
+) : (
+  // Non-standard browser env (web workers, react-native) lack needed support.
+  {
+    write() {
+    },
+    read() {
+      return null;
+    },
+    remove() {
+    }
+  }
+);
+"use strict";
+function isAbsoluteURL$1(url) {
+  return /^([a-z][a-z\d+\-.]*:)?\/\//i.test(url);
+}
+__name(isAbsoluteURL$1, "isAbsoluteURL$1");
+"use strict";
+function combineURLs(baseURL, relativeURL) {
+  return relativeURL ? baseURL.replace(/\/?\/$/, "") + "/" + relativeURL.replace(/^\/+/, "") : baseURL;
+}
+__name(combineURLs, "combineURLs");
+"use strict";
+function buildFullPath(baseURL, requestedURL) {
+  if (baseURL && !isAbsoluteURL$1(requestedURL)) {
+    return combineURLs(baseURL, requestedURL);
+  }
+  return requestedURL;
+}
+__name(buildFullPath, "buildFullPath");
+"use strict";
+const headersToObject$1 = /* @__PURE__ */ __name((thing) => thing instanceof AxiosHeaders$1 ? { ...thing } : thing, "headersToObject$1");
+function mergeConfig$1(config1, config2) {
+  config2 = config2 || {};
+  const config = {};
+  function getMergedValue(target, source, caseless) {
+    if (utils$1.isPlainObject(target) && utils$1.isPlainObject(source)) {
+      return utils$1.merge.call({ caseless }, target, source);
+    } else if (utils$1.isPlainObject(source)) {
+      return utils$1.merge({}, source);
+    } else if (utils$1.isArray(source)) {
+      return source.slice();
+    }
+    return source;
+  }
+  __name(getMergedValue, "getMergedValue");
+  function mergeDeepProperties(a, b, caseless) {
+    if (!utils$1.isUndefined(b)) {
+      return getMergedValue(a, b, caseless);
+    } else if (!utils$1.isUndefined(a)) {
+      return getMergedValue(void 0, a, caseless);
+    }
+  }
+  __name(mergeDeepProperties, "mergeDeepProperties");
+  function valueFromConfig2(a, b) {
+    if (!utils$1.isUndefined(b)) {
+      return getMergedValue(void 0, b);
+    }
+  }
+  __name(valueFromConfig2, "valueFromConfig2");
+  function defaultToConfig2(a, b) {
+    if (!utils$1.isUndefined(b)) {
+      return getMergedValue(void 0, b);
+    } else if (!utils$1.isUndefined(a)) {
+      return getMergedValue(void 0, a);
+    }
+  }
+  __name(defaultToConfig2, "defaultToConfig2");
+  function mergeDirectKeys(a, b, prop2) {
+    if (prop2 in config2) {
+      return getMergedValue(a, b);
+    } else if (prop2 in config1) {
+      return getMergedValue(void 0, a);
+    }
+  }
+  __name(mergeDirectKeys, "mergeDirectKeys");
+  const mergeMap = {
+    url: valueFromConfig2,
+    method: valueFromConfig2,
+    data: valueFromConfig2,
+    baseURL: defaultToConfig2,
+    transformRequest: defaultToConfig2,
+    transformResponse: defaultToConfig2,
+    paramsSerializer: defaultToConfig2,
+    timeout: defaultToConfig2,
+    timeoutMessage: defaultToConfig2,
+    withCredentials: defaultToConfig2,
+    withXSRFToken: defaultToConfig2,
+    adapter: defaultToConfig2,
+    responseType: defaultToConfig2,
+    xsrfCookieName: defaultToConfig2,
+    xsrfHeaderName: defaultToConfig2,
+    onUploadProgress: defaultToConfig2,
+    onDownloadProgress: defaultToConfig2,
+    decompress: defaultToConfig2,
+    maxContentLength: defaultToConfig2,
+    maxBodyLength: defaultToConfig2,
+    beforeRedirect: defaultToConfig2,
+    transport: defaultToConfig2,
+    httpAgent: defaultToConfig2,
+    httpsAgent: defaultToConfig2,
+    cancelToken: defaultToConfig2,
+    socketPath: defaultToConfig2,
+    responseEncoding: defaultToConfig2,
+    validateStatus: mergeDirectKeys,
+    headers: /* @__PURE__ */ __name((a, b) => mergeDeepProperties(headersToObject$1(a), headersToObject$1(b), true), "headers")
+  };
+  utils$1.forEach(Object.keys(Object.assign({}, config1, config2)), /* @__PURE__ */ __name(function computeConfigValue(prop2) {
+    const merge3 = mergeMap[prop2] || mergeDeepProperties;
+    const configValue = merge3(config1[prop2], config2[prop2], prop2);
+    utils$1.isUndefined(configValue) && merge3 !== mergeDirectKeys || (config[prop2] = configValue);
+  }, "computeConfigValue"));
+  return config;
+}
+__name(mergeConfig$1, "mergeConfig$1");
+const resolveConfig = /* @__PURE__ */ __name((config) => {
+  const newConfig = mergeConfig$1({}, config);
+  let { data: data24, withXSRFToken, xsrfHeaderName, xsrfCookieName, headers, auth } = newConfig;
+  newConfig.headers = headers = AxiosHeaders$1.from(headers);
+  newConfig.url = buildURL(buildFullPath(newConfig.baseURL, newConfig.url), config.params, config.paramsSerializer);
+  if (auth) {
+    headers.set(
+      "Authorization",
+      "Basic " + btoa((auth.username || "") + ":" + (auth.password ? unescape(encodeURIComponent(auth.password)) : ""))
+    );
+  }
+  let contentType;
+  if (utils$1.isFormData(data24)) {
+    if (platform.hasStandardBrowserEnv || platform.hasStandardBrowserWebWorkerEnv) {
+      headers.setContentType(void 0);
+    } else if ((contentType = headers.getContentType()) !== false) {
+      const [type, ...tokens] = contentType ? contentType.split(";").map((token) => token.trim()).filter(Boolean) : [];
+      headers.setContentType([type || "multipart/form-data", ...tokens].join("; "));
+    }
+  }
+  if (platform.hasStandardBrowserEnv) {
+    withXSRFToken && utils$1.isFunction(withXSRFToken) && (withXSRFToken = withXSRFToken(newConfig));
+    if (withXSRFToken || withXSRFToken !== false && isURLSameOrigin(newConfig.url)) {
+      const xsrfValue = xsrfHeaderName && xsrfCookieName && cookies.read(xsrfCookieName);
+      if (xsrfValue) {
+        headers.set(xsrfHeaderName, xsrfValue);
+      }
+    }
+  }
+  return newConfig;
+}, "resolveConfig");
+const isXHRAdapterSupported = typeof XMLHttpRequest !== "undefined";
+const xhrAdapter = isXHRAdapterSupported && function(config) {
+  return new Promise(/* @__PURE__ */ __name(function dispatchXhrRequest(resolve8, reject2) {
+    const _config = resolveConfig(config);
+    let requestData = _config.data;
+    const requestHeaders = AxiosHeaders$1.from(_config.headers).normalize();
+    let { responseType, onUploadProgress, onDownloadProgress } = _config;
+    let onCanceled;
+    let uploadThrottled, downloadThrottled;
+    let flushUpload, flushDownload;
+    function done() {
+      flushUpload && flushUpload();
+      flushDownload && flushDownload();
+      _config.cancelToken && _config.cancelToken.unsubscribe(onCanceled);
+      _config.signal && _config.signal.removeEventListener("abort", onCanceled);
+    }
+    __name(done, "done");
+    let request = new XMLHttpRequest();
+    request.open(_config.method.toUpperCase(), _config.url, true);
+    request.timeout = _config.timeout;
+    function onloadend() {
+      if (!request) {
+        return;
+      }
+      const responseHeaders = AxiosHeaders$1.from(
+        "getAllResponseHeaders" in request && request.getAllResponseHeaders()
+      );
+      const responseData = !responseType || responseType === "text" || responseType === "json" ? request.responseText : request.response;
+      const response = {
+        data: responseData,
+        status: request.status,
+        statusText: request.statusText,
+        headers: responseHeaders,
+        config,
+        request
+      };
+      settle(/* @__PURE__ */ __name(function _resolve(value3) {
+        resolve8(value3);
+        done();
+      }, "_resolve"), /* @__PURE__ */ __name(function _reject(err) {
+        reject2(err);
+        done();
+      }, "_reject"), response);
+      request = null;
+    }
+    __name(onloadend, "onloadend");
+    if ("onloadend" in request) {
+      request.onloadend = onloadend;
+    } else {
+      request.onreadystatechange = /* @__PURE__ */ __name(function handleLoad() {
+        if (!request || request.readyState !== 4) {
+          return;
+        }
+        if (request.status === 0 && !(request.responseURL && request.responseURL.indexOf("file:") === 0)) {
+          return;
+        }
+        setTimeout(onloadend);
+      }, "handleLoad");
+    }
+    request.onabort = /* @__PURE__ */ __name(function handleAbort() {
+      if (!request) {
+        return;
+      }
+      reject2(new AxiosError$1("Request aborted", AxiosError$1.ECONNABORTED, config, request));
+      request = null;
+    }, "handleAbort");
+    request.onerror = /* @__PURE__ */ __name(function handleError2() {
+      reject2(new AxiosError$1("Network Error", AxiosError$1.ERR_NETWORK, config, request));
+      request = null;
+    }, "handleError");
+    request.ontimeout = /* @__PURE__ */ __name(function handleTimeout() {
+      let timeoutErrorMessage = _config.timeout ? "timeout of " + _config.timeout + "ms exceeded" : "timeout exceeded";
+      const transitional2 = _config.transitional || transitionalDefaults;
+      if (_config.timeoutErrorMessage) {
+        timeoutErrorMessage = _config.timeoutErrorMessage;
+      }
+      reject2(new AxiosError$1(
+        timeoutErrorMessage,
+        transitional2.clarifyTimeoutError ? AxiosError$1.ETIMEDOUT : AxiosError$1.ECONNABORTED,
+        config,
+        request
+      ));
+      request = null;
+    }, "handleTimeout");
+    requestData === void 0 && requestHeaders.setContentType(null);
+    if ("setRequestHeader" in request) {
+      utils$1.forEach(requestHeaders.toJSON(), /* @__PURE__ */ __name(function setRequestHeader(val, key) {
+        request.setRequestHeader(key, val);
+      }, "setRequestHeader"));
+    }
+    if (!utils$1.isUndefined(_config.withCredentials)) {
+      request.withCredentials = !!_config.withCredentials;
+    }
+    if (responseType && responseType !== "json") {
+      request.responseType = _config.responseType;
+    }
+    if (onDownloadProgress) {
+      [downloadThrottled, flushDownload] = progressEventReducer(onDownloadProgress, true);
+      request.addEventListener("progress", downloadThrottled);
+    }
+    if (onUploadProgress && request.upload) {
+      [uploadThrottled, flushUpload] = progressEventReducer(onUploadProgress);
+      request.upload.addEventListener("progress", uploadThrottled);
+      request.upload.addEventListener("loadend", flushUpload);
+    }
+    if (_config.cancelToken || _config.signal) {
+      onCanceled = /* @__PURE__ */ __name((cancel) => {
+        if (!request) {
+          return;
+        }
+        reject2(!cancel || cancel.type ? new CanceledError$1(null, config, request) : cancel);
+        request.abort();
+        request = null;
+      }, "onCanceled");
+      _config.cancelToken && _config.cancelToken.subscribe(onCanceled);
+      if (_config.signal) {
+        _config.signal.aborted ? onCanceled() : _config.signal.addEventListener("abort", onCanceled);
+      }
+    }
+    const protocol = parseProtocol(_config.url);
+    if (protocol && platform.protocols.indexOf(protocol) === -1) {
+      reject2(new AxiosError$1("Unsupported protocol " + protocol + ":", AxiosError$1.ERR_BAD_REQUEST, config));
+      return;
+    }
+    request.send(requestData || null);
+  }, "dispatchXhrRequest"));
+};
+const composeSignals = /* @__PURE__ */ __name((signals, timeout) => {
+  let controller = new AbortController();
+  let aborted;
+  const onabort = /* @__PURE__ */ __name(function(cancel) {
+    if (!aborted) {
+      aborted = true;
+      unsubscribe();
+      const err = cancel instanceof Error ? cancel : this.reason;
+      controller.abort(err instanceof AxiosError$1 ? err : new CanceledError$1(err instanceof Error ? err.message : err));
+    }
+  }, "onabort");
+  let timer = timeout && setTimeout(() => {
+    onabort(new AxiosError$1(`timeout ${timeout} of ms exceeded`, AxiosError$1.ETIMEDOUT));
+  }, timeout);
+  const unsubscribe = /* @__PURE__ */ __name(() => {
+    if (signals) {
+      timer && clearTimeout(timer);
+      timer = null;
+      signals.forEach((signal2) => {
+        signal2 && (signal2.removeEventListener ? signal2.removeEventListener("abort", onabort) : signal2.unsubscribe(onabort));
+      });
+      signals = null;
+    }
+  }, "unsubscribe");
+  signals.forEach((signal2) => signal2 && signal2.addEventListener && signal2.addEventListener("abort", onabort));
+  const { signal } = controller;
+  signal.unsubscribe = unsubscribe;
+  return [signal, () => {
+    timer && clearTimeout(timer);
+    timer = null;
+  }];
+}, "composeSignals");
+const streamChunk = /* @__PURE__ */ __name(function* (chunk, chunkSize) {
+  let len = chunk.byteLength;
+  if (!chunkSize || len < chunkSize) {
+    yield chunk;
+    return;
+  }
+  let pos2 = 0;
+  let end;
+  while (pos2 < len) {
+    end = pos2 + chunkSize;
+    yield chunk.slice(pos2, end);
+    pos2 = end;
+  }
+}, "streamChunk");
+const readBytes = /* @__PURE__ */ __name(async function* (iterable, chunkSize, encode2) {
+  for await (const chunk of iterable) {
+    yield* streamChunk(ArrayBuffer.isView(chunk) ? chunk : await encode2(String(chunk)), chunkSize);
+  }
+}, "readBytes");
+const trackStream = /* @__PURE__ */ __name((stream, chunkSize, onProgress, onFinish, encode2) => {
+  const iterator = readBytes(stream, chunkSize, encode2);
+  let bytes = 0;
+  let done;
+  let _onFinish = /* @__PURE__ */ __name((e) => {
+    if (!done) {
+      done = true;
+      onFinish && onFinish(e);
+    }
+  }, "_onFinish");
+  return new ReadableStream({
+    async pull(controller) {
+      try {
+        const { done: done2, value: value3 } = await iterator.next();
+        if (done2) {
+          _onFinish();
+          controller.close();
+          return;
+        }
+        let len = value3.byteLength;
+        if (onProgress) {
+          let loadedBytes = bytes += len;
+          onProgress(loadedBytes);
+        }
+        controller.enqueue(new Uint8Array(value3));
+      } catch (err) {
+        _onFinish(err);
+        throw err;
+      }
+    },
+    cancel(reason) {
+      _onFinish(reason);
+      return iterator.return();
+    }
+  }, {
+    highWaterMark: 2
+  });
+}, "trackStream");
+const isFetchSupported = typeof fetch === "function" && typeof Request === "function" && typeof Response === "function";
+const isReadableStreamSupported = isFetchSupported && typeof ReadableStream === "function";
+const encodeText = isFetchSupported && (typeof TextEncoder === "function" ? /* @__PURE__ */ ((encoder) => (str) => encoder.encode(str))(new TextEncoder()) : async (str) => new Uint8Array(await new Response(str).arrayBuffer()));
+const test = /* @__PURE__ */ __name((fn, ...args) => {
+  try {
+    return !!fn(...args);
+  } catch (e) {
+    return false;
+  }
+}, "test");
+const supportsRequestStream = isReadableStreamSupported && test(() => {
+  let duplexAccessed = false;
+  const hasContentType = new Request(platform.origin, {
+    body: new ReadableStream(),
+    method: "POST",
+    get duplex() {
+      duplexAccessed = true;
+      return "half";
+    }
+  }).headers.has("Content-Type");
+  return duplexAccessed && !hasContentType;
+});
+const DEFAULT_CHUNK_SIZE = 64 * 1024;
+const supportsResponseStream = isReadableStreamSupported && test(() => utils$1.isReadableStream(new Response("").body));
+const resolvers = {
+  stream: supportsResponseStream && ((res) => res.body)
+};
+isFetchSupported && ((res) => {
+  ["text", "arrayBuffer", "blob", "formData", "stream"].forEach((type) => {
+    !resolvers[type] && (resolvers[type] = utils$1.isFunction(res[type]) ? (res2) => res2[type]() : (_2, config) => {
+      throw new AxiosError$1(`Response type '${type}' is not supported`, AxiosError$1.ERR_NOT_SUPPORT, config);
+    });
+  });
+})(new Response());
+const getBodyLength = /* @__PURE__ */ __name(async (body) => {
+  if (body == null) {
+    return 0;
+  }
+  if (utils$1.isBlob(body)) {
+    return body.size;
+  }
+  if (utils$1.isSpecCompliantForm(body)) {
+    return (await new Request(body).arrayBuffer()).byteLength;
+  }
+  if (utils$1.isArrayBufferView(body) || utils$1.isArrayBuffer(body)) {
+    return body.byteLength;
+  }
+  if (utils$1.isURLSearchParams(body)) {
+    body = body + "";
+  }
+  if (utils$1.isString(body)) {
+    return (await encodeText(body)).byteLength;
+  }
+}, "getBodyLength");
+const resolveBodyLength = /* @__PURE__ */ __name(async (headers, body) => {
+  const length = utils$1.toFiniteNumber(headers.getContentLength());
+  return length == null ? getBodyLength(body) : length;
+}, "resolveBodyLength");
+const fetchAdapter = isFetchSupported && (async (config) => {
+  let {
+    url,
+    method,
+    data: data24,
+    signal,
+    cancelToken,
+    timeout,
+    onDownloadProgress,
+    onUploadProgress,
+    responseType,
+    headers,
+    withCredentials = "same-origin",
+    fetchOptions
+  } = resolveConfig(config);
+  responseType = responseType ? (responseType + "").toLowerCase() : "text";
+  let [composedSignal, stopTimeout] = signal || cancelToken || timeout ? composeSignals([signal, cancelToken], timeout) : [];
+  let finished, request;
+  const onFinish = /* @__PURE__ */ __name(() => {
+    !finished && setTimeout(() => {
+      composedSignal && composedSignal.unsubscribe();
+    });
+    finished = true;
+  }, "onFinish");
+  let requestContentLength;
+  try {
+    if (onUploadProgress && supportsRequestStream && method !== "get" && method !== "head" && (requestContentLength = await resolveBodyLength(headers, data24)) !== 0) {
+      let _request = new Request(url, {
+        method: "POST",
+        body: data24,
+        duplex: "half"
+      });
+      let contentTypeHeader;
+      if (utils$1.isFormData(data24) && (contentTypeHeader = _request.headers.get("content-type"))) {
+        headers.setContentType(contentTypeHeader);
+      }
+      if (_request.body) {
+        const [onProgress, flush] = progressEventDecorator(
+          requestContentLength,
+          progressEventReducer(asyncDecorator(onUploadProgress))
+        );
+        data24 = trackStream(_request.body, DEFAULT_CHUNK_SIZE, onProgress, flush, encodeText);
+      }
+    }
+    if (!utils$1.isString(withCredentials)) {
+      withCredentials = withCredentials ? "include" : "omit";
+    }
+    request = new Request(url, {
+      ...fetchOptions,
+      signal: composedSignal,
+      method: method.toUpperCase(),
+      headers: headers.normalize().toJSON(),
+      body: data24,
+      duplex: "half",
+      credentials: withCredentials
+    });
+    let response = await fetch(request);
+    const isStreamResponse = supportsResponseStream && (responseType === "stream" || responseType === "response");
+    if (supportsResponseStream && (onDownloadProgress || isStreamResponse)) {
+      const options3 = {};
+      ["status", "statusText", "headers"].forEach((prop2) => {
+        options3[prop2] = response[prop2];
+      });
+      const responseContentLength = utils$1.toFiniteNumber(response.headers.get("content-length"));
+      const [onProgress, flush] = onDownloadProgress && progressEventDecorator(
+        responseContentLength,
+        progressEventReducer(asyncDecorator(onDownloadProgress), true)
+      ) || [];
+      response = new Response(
+        trackStream(response.body, DEFAULT_CHUNK_SIZE, onProgress, () => {
+          flush && flush();
+          isStreamResponse && onFinish();
+        }, encodeText),
+        options3
+      );
+    }
+    responseType = responseType || "text";
+    let responseData = await resolvers[utils$1.findKey(resolvers, responseType) || "text"](response, config);
+    !isStreamResponse && onFinish();
+    stopTimeout && stopTimeout();
+    return await new Promise((resolve8, reject2) => {
+      settle(resolve8, reject2, {
+        data: responseData,
+        headers: AxiosHeaders$1.from(response.headers),
+        status: response.status,
+        statusText: response.statusText,
+        config,
+        request
+      });
+    });
+  } catch (err) {
+    onFinish();
+    if (err && err.name === "TypeError" && /fetch/i.test(err.message)) {
+      throw Object.assign(
+        new AxiosError$1("Network Error", AxiosError$1.ERR_NETWORK, config, request),
+        {
+          cause: err.cause || err
+        }
+      );
+    }
+    throw AxiosError$1.from(err, err && err.code, config, request);
+  }
+});
+const knownAdapters = {
+  http: httpAdapter,
+  xhr: xhrAdapter,
+  fetch: fetchAdapter
+};
+utils$1.forEach(knownAdapters, (fn, value3) => {
+  if (fn) {
+    try {
+      Object.defineProperty(fn, "name", { value: value3 });
+    } catch (e) {
+    }
+    Object.defineProperty(fn, "adapterName", { value: value3 });
+  }
+});
+const renderReason = /* @__PURE__ */ __name((reason) => `- ${reason}`, "renderReason");
+const isResolvedHandle = /* @__PURE__ */ __name((adapter2) => utils$1.isFunction(adapter2) || adapter2 === null || adapter2 === false, "isResolvedHandle");
+const adapters = {
+  getAdapter: /* @__PURE__ */ __name((adapters2) => {
+    adapters2 = utils$1.isArray(adapters2) ? adapters2 : [adapters2];
+    const { length } = adapters2;
+    let nameOrAdapter;
+    let adapter2;
+    const rejectedReasons = {};
+    for (let i2 = 0; i2 < length; i2++) {
+      nameOrAdapter = adapters2[i2];
+      let id2;
+      adapter2 = nameOrAdapter;
+      if (!isResolvedHandle(nameOrAdapter)) {
+        adapter2 = knownAdapters[(id2 = String(nameOrAdapter)).toLowerCase()];
+        if (adapter2 === void 0) {
+          throw new AxiosError$1(`Unknown adapter '${id2}'`);
+        }
+      }
+      if (adapter2) {
+        break;
+      }
+      rejectedReasons[id2 || "#" + i2] = adapter2;
+    }
+    if (!adapter2) {
+      const reasons = Object.entries(rejectedReasons).map(
+        ([id2, state]) => `adapter ${id2} ` + (state === false ? "is not supported by the environment" : "is not available in the build")
+      );
+      let s = length ? reasons.length > 1 ? "since :\n" + reasons.map(renderReason).join("\n") : " " + renderReason(reasons[0]) : "as no adapter specified";
+      throw new AxiosError$1(
+        `There is no suitable adapter to dispatch the request ` + s,
+        "ERR_NOT_SUPPORT"
+      );
+    }
+    return adapter2;
+  }, "getAdapter"),
+  adapters: knownAdapters
+};
+"use strict";
+function throwIfCancellationRequested(config) {
+  if (config.cancelToken) {
+    config.cancelToken.throwIfRequested();
+  }
+  if (config.signal && config.signal.aborted) {
+    throw new CanceledError$1(null, config);
+  }
+}
+__name(throwIfCancellationRequested, "throwIfCancellationRequested");
+function dispatchRequest(config) {
+  throwIfCancellationRequested(config);
+  config.headers = AxiosHeaders$1.from(config.headers);
+  config.data = transformData.call(
+    config,
+    config.transformRequest
+  );
+  if (["post", "put", "patch"].indexOf(config.method) !== -1) {
+    config.headers.setContentType("application/x-www-form-urlencoded", false);
+  }
+  const adapter2 = adapters.getAdapter(config.adapter || defaults$1.adapter);
+  return adapter2(config).then(/* @__PURE__ */ __name(function onAdapterResolution(response) {
+    throwIfCancellationRequested(config);
+    response.data = transformData.call(
+      config,
+      config.transformResponse,
+      response
+    );
+    response.headers = AxiosHeaders$1.from(response.headers);
+    return response;
+  }, "onAdapterResolution"), /* @__PURE__ */ __name(function onAdapterRejection(reason) {
+    if (!isCancel$1(reason)) {
+      throwIfCancellationRequested(config);
+      if (reason && reason.response) {
+        reason.response.data = transformData.call(
+          config,
+          config.transformResponse,
+          reason.response
+        );
+        reason.response.headers = AxiosHeaders$1.from(reason.response.headers);
+      }
+    }
+    return Promise.reject(reason);
+  }, "onAdapterRejection"));
+}
+__name(dispatchRequest, "dispatchRequest");
+const VERSION$3 = "1.7.4";
+"use strict";
+const validators$1 = {};
+["object", "boolean", "number", "function", "string", "symbol"].forEach((type, i2) => {
+  validators$1[type] = /* @__PURE__ */ __name(function validator3(thing) {
+    return typeof thing === type || "a" + (i2 < 1 ? "n " : " ") + type;
+  }, "validator");
+});
+const deprecatedWarnings = {};
+validators$1.transitional = /* @__PURE__ */ __name(function transitional(validator3, version2, message3) {
+  function formatMessage(opt, desc) {
+    return "[Axios v" + VERSION$3 + "] Transitional option '" + opt + "'" + desc + (message3 ? ". " + message3 : "");
+  }
+  __name(formatMessage, "formatMessage");
+  return (value3, opt, opts) => {
+    if (validator3 === false) {
+      throw new AxiosError$1(
+        formatMessage(opt, " has been removed" + (version2 ? " in " + version2 : "")),
+        AxiosError$1.ERR_DEPRECATED
+      );
+    }
+    if (version2 && !deprecatedWarnings[opt]) {
+      deprecatedWarnings[opt] = true;
+      console.warn(
+        formatMessage(
+          opt,
+          " has been deprecated since v" + version2 + " and will be removed in the near future"
+        )
+      );
+    }
+    return validator3 ? validator3(value3, opt, opts) : true;
+  };
+}, "transitional");
+function assertOptions(options3, schema, allowUnknown) {
+  if (typeof options3 !== "object") {
+    throw new AxiosError$1("options must be an object", AxiosError$1.ERR_BAD_OPTION_VALUE);
+  }
+  const keys2 = Object.keys(options3);
+  let i2 = keys2.length;
+  while (i2-- > 0) {
+    const opt = keys2[i2];
+    const validator3 = schema[opt];
+    if (validator3) {
+      const value3 = options3[opt];
+      const result = value3 === void 0 || validator3(value3, opt, options3);
+      if (result !== true) {
+        throw new AxiosError$1("option " + opt + " must be " + result, AxiosError$1.ERR_BAD_OPTION_VALUE);
+      }
+      continue;
+    }
+    if (allowUnknown !== true) {
+      throw new AxiosError$1("Unknown option " + opt, AxiosError$1.ERR_BAD_OPTION);
+    }
+  }
+}
+__name(assertOptions, "assertOptions");
+const validator = {
+  assertOptions,
+  validators: validators$1
+};
+"use strict";
+const validators = validator.validators;
+let Axios$1 = class Axios2 {
+  static {
+    __name(this, "Axios");
+  }
+  constructor(instanceConfig) {
+    this.defaults = instanceConfig;
+    this.interceptors = {
+      request: new InterceptorManager(),
+      response: new InterceptorManager()
+    };
+  }
+  /**
+   * Dispatch a request
+   *
+   * @param {String|Object} configOrUrl The config specific for this request (merged with this.defaults)
+   * @param {?Object} config
+   *
+   * @returns {Promise} The Promise to be fulfilled
+   */
+  async request(configOrUrl, config) {
+    try {
+      return await this._request(configOrUrl, config);
+    } catch (err) {
+      if (err instanceof Error) {
+        let dummy;
+        Error.captureStackTrace ? Error.captureStackTrace(dummy = {}) : dummy = new Error();
+        const stack2 = dummy.stack ? dummy.stack.replace(/^.+\n/, "") : "";
+        try {
+          if (!err.stack) {
+            err.stack = stack2;
+          } else if (stack2 && !String(err.stack).endsWith(stack2.replace(/^.+\n.+\n/, ""))) {
+            err.stack += "\n" + stack2;
+          }
+        } catch (e) {
+        }
+      }
+      throw err;
+    }
+  }
+  _request(configOrUrl, config) {
+    if (typeof configOrUrl === "string") {
+      config = config || {};
+      config.url = configOrUrl;
+    } else {
+      config = configOrUrl || {};
+    }
+    config = mergeConfig$1(this.defaults, config);
+    const { transitional: transitional2, paramsSerializer, headers } = config;
+    if (transitional2 !== void 0) {
+      validator.assertOptions(transitional2, {
+        silentJSONParsing: validators.transitional(validators.boolean),
+        forcedJSONParsing: validators.transitional(validators.boolean),
+        clarifyTimeoutError: validators.transitional(validators.boolean)
+      }, false);
+    }
+    if (paramsSerializer != null) {
+      if (utils$1.isFunction(paramsSerializer)) {
+        config.paramsSerializer = {
+          serialize: paramsSerializer
+        };
+      } else {
+        validator.assertOptions(paramsSerializer, {
+          encode: validators.function,
+          serialize: validators.function
+        }, true);
+      }
+    }
+    config.method = (config.method || this.defaults.method || "get").toLowerCase();
+    let contextHeaders = headers && utils$1.merge(
+      headers.common,
+      headers[config.method]
+    );
+    headers && utils$1.forEach(
+      ["delete", "get", "head", "post", "put", "patch", "common"],
+      (method) => {
+        delete headers[method];
+      }
+    );
+    config.headers = AxiosHeaders$1.concat(contextHeaders, headers);
+    const requestInterceptorChain = [];
+    let synchronousRequestInterceptors = true;
+    this.interceptors.request.forEach(/* @__PURE__ */ __name(function unshiftRequestInterceptors(interceptor) {
+      if (typeof interceptor.runWhen === "function" && interceptor.runWhen(config) === false) {
+        return;
+      }
+      synchronousRequestInterceptors = synchronousRequestInterceptors && interceptor.synchronous;
+      requestInterceptorChain.unshift(interceptor.fulfilled, interceptor.rejected);
+    }, "unshiftRequestInterceptors"));
+    const responseInterceptorChain = [];
+    this.interceptors.response.forEach(/* @__PURE__ */ __name(function pushResponseInterceptors(interceptor) {
+      responseInterceptorChain.push(interceptor.fulfilled, interceptor.rejected);
+    }, "pushResponseInterceptors"));
+    let promise;
+    let i2 = 0;
+    let len;
+    if (!synchronousRequestInterceptors) {
+      const chain = [dispatchRequest.bind(this), void 0];
+      chain.unshift.apply(chain, requestInterceptorChain);
+      chain.push.apply(chain, responseInterceptorChain);
+      len = chain.length;
+      promise = Promise.resolve(config);
+      while (i2 < len) {
+        promise = promise.then(chain[i2++], chain[i2++]);
+      }
+      return promise;
+    }
+    len = requestInterceptorChain.length;
+    let newConfig = config;
+    i2 = 0;
+    while (i2 < len) {
+      const onFulfilled = requestInterceptorChain[i2++];
+      const onRejected = requestInterceptorChain[i2++];
+      try {
+        newConfig = onFulfilled(newConfig);
+      } catch (error) {
+        onRejected.call(this, error);
+        break;
+      }
+    }
+    try {
+      promise = dispatchRequest.call(this, newConfig);
+    } catch (error) {
+      return Promise.reject(error);
+    }
+    i2 = 0;
+    len = responseInterceptorChain.length;
+    while (i2 < len) {
+      promise = promise.then(responseInterceptorChain[i2++], responseInterceptorChain[i2++]);
+    }
+    return promise;
+  }
+  getUri(config) {
+    config = mergeConfig$1(this.defaults, config);
+    const fullPath = buildFullPath(config.baseURL, config.url);
+    return buildURL(fullPath, config.params, config.paramsSerializer);
+  }
+};
+utils$1.forEach(["delete", "get", "head", "options"], /* @__PURE__ */ __name(function forEachMethodNoData(method) {
+  Axios$1.prototype[method] = function(url, config) {
+    return this.request(mergeConfig$1(config || {}, {
+      method,
+      url,
+      data: (config || {}).data
+    }));
+  };
+}, "forEachMethodNoData"));
+utils$1.forEach(["post", "put", "patch"], /* @__PURE__ */ __name(function forEachMethodWithData(method) {
+  function generateHTTPMethod(isForm) {
+    return /* @__PURE__ */ __name(function httpMethod(url, data24, config) {
+      return this.request(mergeConfig$1(config || {}, {
+        method,
+        headers: isForm ? {
+          "Content-Type": "multipart/form-data"
+        } : {},
+        url,
+        data: data24
+      }));
+    }, "httpMethod");
+  }
+  __name(generateHTTPMethod, "generateHTTPMethod");
+  Axios$1.prototype[method] = generateHTTPMethod();
+  Axios$1.prototype[method + "Form"] = generateHTTPMethod(true);
+}, "forEachMethodWithData"));
+"use strict";
+let CancelToken$1 = class CancelToken2 {
+  static {
+    __name(this, "CancelToken");
+  }
+  constructor(executor) {
+    if (typeof executor !== "function") {
+      throw new TypeError("executor must be a function.");
+    }
+    let resolvePromise;
+    this.promise = new Promise(/* @__PURE__ */ __name(function promiseExecutor(resolve8) {
+      resolvePromise = resolve8;
+    }, "promiseExecutor"));
+    const token = this;
+    this.promise.then((cancel) => {
+      if (!token._listeners) return;
+      let i2 = token._listeners.length;
+      while (i2-- > 0) {
+        token._listeners[i2](cancel);
+      }
+      token._listeners = null;
+    });
+    this.promise.then = (onfulfilled) => {
+      let _resolve;
+      const promise = new Promise((resolve8) => {
+        token.subscribe(resolve8);
+        _resolve = resolve8;
+      }).then(onfulfilled);
+      promise.cancel = /* @__PURE__ */ __name(function reject2() {
+        token.unsubscribe(_resolve);
+      }, "reject");
+      return promise;
+    };
+    executor(/* @__PURE__ */ __name(function cancel(message3, config, request) {
+      if (token.reason) {
+        return;
+      }
+      token.reason = new CanceledError$1(message3, config, request);
+      resolvePromise(token.reason);
+    }, "cancel"));
+  }
+  /**
+   * Throws a `CanceledError` if cancellation has been requested.
+   */
+  throwIfRequested() {
+    if (this.reason) {
+      throw this.reason;
+    }
+  }
+  /**
+   * Subscribe to the cancel signal
+   */
+  subscribe(listener) {
+    if (this.reason) {
+      listener(this.reason);
+      return;
+    }
+    if (this._listeners) {
+      this._listeners.push(listener);
+    } else {
+      this._listeners = [listener];
+    }
+  }
+  /**
+   * Unsubscribe from the cancel signal
+   */
+  unsubscribe(listener) {
+    if (!this._listeners) {
+      return;
+    }
+    const index2 = this._listeners.indexOf(listener);
+    if (index2 !== -1) {
+      this._listeners.splice(index2, 1);
+    }
+  }
+  /**
+   * Returns an object that contains a new `CancelToken` and a function that, when called,
+   * cancels the `CancelToken`.
+   */
+  static source() {
+    let cancel;
+    const token = new CancelToken2(/* @__PURE__ */ __name(function executor(c) {
+      cancel = c;
+    }, "executor"));
+    return {
+      token,
+      cancel
+    };
+  }
+};
+"use strict";
+function spread$1(callback) {
+  return /* @__PURE__ */ __name(function wrap(arr) {
+    return callback.apply(null, arr);
+  }, "wrap");
+}
+__name(spread$1, "spread$1");
+"use strict";
+function isAxiosError$1(payload) {
+  return utils$1.isObject(payload) && payload.isAxiosError === true;
+}
+__name(isAxiosError$1, "isAxiosError$1");
+const HttpStatusCode$1 = {
+  Continue: 100,
+  SwitchingProtocols: 101,
+  Processing: 102,
+  EarlyHints: 103,
+  Ok: 200,
+  Created: 201,
+  Accepted: 202,
+  NonAuthoritativeInformation: 203,
+  NoContent: 204,
+  ResetContent: 205,
+  PartialContent: 206,
+  MultiStatus: 207,
+  AlreadyReported: 208,
+  ImUsed: 226,
+  MultipleChoices: 300,
+  MovedPermanently: 301,
+  Found: 302,
+  SeeOther: 303,
+  NotModified: 304,
+  UseProxy: 305,
+  Unused: 306,
+  TemporaryRedirect: 307,
+  PermanentRedirect: 308,
+  BadRequest: 400,
+  Unauthorized: 401,
+  PaymentRequired: 402,
+  Forbidden: 403,
+  NotFound: 404,
+  MethodNotAllowed: 405,
+  NotAcceptable: 406,
+  ProxyAuthenticationRequired: 407,
+  RequestTimeout: 408,
+  Conflict: 409,
+  Gone: 410,
+  LengthRequired: 411,
+  PreconditionFailed: 412,
+  PayloadTooLarge: 413,
+  UriTooLong: 414,
+  UnsupportedMediaType: 415,
+  RangeNotSatisfiable: 416,
+  ExpectationFailed: 417,
+  ImATeapot: 418,
+  MisdirectedRequest: 421,
+  UnprocessableEntity: 422,
+  Locked: 423,
+  FailedDependency: 424,
+  TooEarly: 425,
+  UpgradeRequired: 426,
+  PreconditionRequired: 428,
+  TooManyRequests: 429,
+  RequestHeaderFieldsTooLarge: 431,
+  UnavailableForLegalReasons: 451,
+  InternalServerError: 500,
+  NotImplemented: 501,
+  BadGateway: 502,
+  ServiceUnavailable: 503,
+  GatewayTimeout: 504,
+  HttpVersionNotSupported: 505,
+  VariantAlsoNegotiates: 506,
+  InsufficientStorage: 507,
+  LoopDetected: 508,
+  NotExtended: 510,
+  NetworkAuthenticationRequired: 511
+};
+Object.entries(HttpStatusCode$1).forEach(([key, value3]) => {
+  HttpStatusCode$1[value3] = key;
+});
+"use strict";
+function createInstance(defaultConfig) {
+  const context = new Axios$1(defaultConfig);
+  const instance = bind$2(Axios$1.prototype.request, context);
+  utils$1.extend(instance, Axios$1.prototype, context, { allOwnKeys: true });
+  utils$1.extend(instance, context, null, { allOwnKeys: true });
+  instance.create = /* @__PURE__ */ __name(function create2(instanceConfig) {
+    return createInstance(mergeConfig$1(defaultConfig, instanceConfig));
+  }, "create");
+  return instance;
+}
+__name(createInstance, "createInstance");
+const axios = createInstance(defaults$1);
+axios.Axios = Axios$1;
+axios.CanceledError = CanceledError$1;
+axios.CancelToken = CancelToken$1;
+axios.isCancel = isCancel$1;
+axios.VERSION = VERSION$3;
+axios.toFormData = toFormData$1;
+axios.AxiosError = AxiosError$1;
+axios.Cancel = axios.CanceledError;
+axios.all = /* @__PURE__ */ __name(function all2(promises) {
+  return Promise.all(promises);
+}, "all");
+axios.spread = spread$1;
+axios.isAxiosError = isAxiosError$1;
+axios.mergeConfig = mergeConfig$1;
+axios.AxiosHeaders = AxiosHeaders$1;
+axios.formToJSON = (thing) => formDataToJSON(utils$1.isHTMLForm(thing) ? new FormData(thing) : thing);
+axios.getAdapter = adapters.getAdapter;
+axios.HttpStatusCode = HttpStatusCode$1;
+axios.default = axios;
+const {
+  Axios,
+  AxiosError,
+  CanceledError,
+  isCancel,
+  CancelToken,
+  VERSION: VERSION$2,
+  all,
+  Cancel,
+  isAxiosError,
+  spread,
+  toFormData,
+  AxiosHeaders,
+  HttpStatusCode,
+  formToJSON,
+  getAdapter,
+  mergeConfig
+} = axios;
+class ComfyApi extends EventTarget {
+  static {
+    __name(this, "ComfyApi");
+  }
+  #registered = /* @__PURE__ */ new Set();
+  api_host;
+  api_base;
+  initialClientId;
+  user;
+  socket;
+  clientId;
+  reportedUnknownMessageTypes = /* @__PURE__ */ new Set();
+  constructor() {
+    super();
+    this.api_host = location.host;
+    this.api_base = location.pathname.split("/").slice(0, -1).join("/");
+    this.initialClientId = sessionStorage.getItem("clientId");
+  }
+  internalURL(route) {
+    return this.api_base + "/internal" + route;
+  }
+  apiURL(route) {
+    return this.api_base + "/api" + route;
+  }
+  fileURL(route) {
+    return this.api_base + route;
+  }
+  fetchApi(route, options3) {
+    if (!options3) {
+      options3 = {};
+    }
+    if (!options3.headers) {
+      options3.headers = {};
+    }
+    if (!options3.cache) {
+      options3.cache = "no-cache";
+    }
+    options3.headers["Comfy-User"] = this.user;
+    return fetch(this.apiURL(route), options3);
+  }
+  addEventListener(type, callback, options3) {
+    super.addEventListener(type, callback, options3);
+    this.#registered.add(type);
+  }
+  /**
+   * Poll status  for colab and other things that don't support websockets.
+   */
+  #pollQueue() {
+    setInterval(async () => {
+      try {
+        const resp = await this.fetchApi("/prompt");
+        const status = await resp.json();
+        this.dispatchEvent(new CustomEvent("status", { detail: status }));
+      } catch (error) {
+        this.dispatchEvent(new CustomEvent("status", { detail: null }));
+      }
+    }, 1e3);
+  }
+  /**
+   * Creates and connects a WebSocket for realtime updates
+   * @param {boolean} isReconnect If the socket is connection is a reconnect attempt
+   */
+  #createSocket(isReconnect) {
+    if (this.socket) {
+      return;
+    }
+    let opened = false;
+    let existingSession = window.name;
+    if (existingSession) {
+      existingSession = "?clientId=" + existingSession;
+    }
+    this.socket = new WebSocket(
+      `ws${window.location.protocol === "https:" ? "s" : ""}://${this.api_host}${this.api_base}/ws${existingSession}`
+    );
+    this.socket.binaryType = "arraybuffer";
+    this.socket.addEventListener("open", () => {
+      opened = true;
+      if (isReconnect) {
+        this.dispatchEvent(new CustomEvent("reconnected"));
+      }
+    });
+    this.socket.addEventListener("error", () => {
+      if (this.socket) this.socket.close();
+      if (!isReconnect && !opened) {
+        this.#pollQueue();
+      }
+    });
+    this.socket.addEventListener("close", () => {
+      setTimeout(() => {
+        this.socket = null;
+        this.#createSocket(true);
+      }, 300);
+      if (opened) {
+        this.dispatchEvent(new CustomEvent("status", { detail: null }));
+        this.dispatchEvent(new CustomEvent("reconnecting"));
+      }
+    });
+    this.socket.addEventListener("message", (event2) => {
+      try {
+        if (event2.data instanceof ArrayBuffer) {
+          const view = new DataView(event2.data);
+          const eventType = view.getUint32(0);
+          const buffer2 = event2.data.slice(4);
+          switch (eventType) {
+            case 1:
+              const view2 = new DataView(event2.data);
+              const imageType = view2.getUint32(0);
+              let imageMime;
+              switch (imageType) {
+                case 1:
+                default:
+                  imageMime = "image/jpeg";
+                  break;
+                case 2:
+                  imageMime = "image/png";
+              }
+              const imageBlob = new Blob([buffer2.slice(4)], {
+                type: imageMime
+              });
+              this.dispatchEvent(
+                new CustomEvent("b_preview", { detail: imageBlob })
+              );
+              break;
+            default:
+              throw new Error(
+                `Unknown binary websocket message of type ${eventType}`
+              );
+          }
+        } else {
+          const msg = JSON.parse(event2.data);
+          switch (msg.type) {
+            case "status":
+              if (msg.data.sid) {
+                this.clientId = msg.data.sid;
+                window.name = this.clientId;
+                sessionStorage.setItem("clientId", this.clientId);
+              }
+              this.dispatchEvent(
+                new CustomEvent("status", { detail: msg.data.status })
+              );
+              break;
+            case "progress":
+              this.dispatchEvent(
+                new CustomEvent("progress", { detail: msg.data })
+              );
+              break;
+            case "executing":
+              this.dispatchEvent(
+                new CustomEvent("executing", {
+                  detail: msg.data.display_node || msg.data.node
+                })
+              );
+              break;
+            case "executed":
+              this.dispatchEvent(
+                new CustomEvent("executed", { detail: msg.data })
+              );
+              break;
+            case "execution_start":
+              this.dispatchEvent(
+                new CustomEvent("execution_start", { detail: msg.data })
+              );
+              break;
+            case "execution_success":
+              this.dispatchEvent(
+                new CustomEvent("execution_success", { detail: msg.data })
+              );
+              break;
+            case "execution_error":
+              this.dispatchEvent(
+                new CustomEvent("execution_error", { detail: msg.data })
+              );
+              break;
+            case "execution_cached":
+              this.dispatchEvent(
+                new CustomEvent("execution_cached", { detail: msg.data })
+              );
+              break;
+            case "download_progress":
+              this.dispatchEvent(
+                new CustomEvent("download_progress", { detail: msg.data })
+              );
+              break;
+            default:
+              if (this.#registered.has(msg.type)) {
+                this.dispatchEvent(
+                  new CustomEvent(msg.type, { detail: msg.data })
+                );
+              } else if (!this.reportedUnknownMessageTypes.has(msg.type)) {
+                this.reportedUnknownMessageTypes.add(msg.type);
+                throw new Error(`Unknown message type ${msg.type}`);
+              }
+          }
+        }
+      } catch (error) {
+        console.warn("Unhandled message:", event2.data, error);
+      }
+    });
+  }
+  /**
+   * Initialises sockets and realtime updates
+   */
+  init() {
+    this.#createSocket();
+  }
+  /**
+   * Gets a list of extension urls
+   */
+  async getExtensions() {
+    const resp = await this.fetchApi("/extensions", { cache: "no-store" });
+    return await resp.json();
+  }
+  /**
+   * Gets a list of embedding names
+   */
+  async getEmbeddings() {
+    const resp = await this.fetchApi("/embeddings", { cache: "no-store" });
+    return await resp.json();
+  }
+  /**
+   * Loads node object definitions for the graph
+   * @returns The node definitions
+   */
+  async getNodeDefs() {
+    const resp = await this.fetchApi("/object_info", { cache: "no-store" });
+    const objectInfoUnsafe = await resp.json();
+    const objectInfo = {};
+    for (const key in objectInfoUnsafe) {
+      const validatedDef = validateComfyNodeDef(
+        objectInfoUnsafe[key],
+        /* onError=*/
+        (errorMessage) => {
+          console.warn(
+            `Skipping invalid node definition: ${key}. See debug log for more information.`
+          );
+          console.debug(errorMessage);
+        }
+      );
+      if (validatedDef !== null) {
+        objectInfo[key] = validatedDef;
+      }
+    }
+    return objectInfo;
+  }
+  /**
+   *
+   * @param {number} number The index at which to queue the prompt, passing -1 will insert the prompt at the front of the queue
+   * @param {object} prompt The prompt data to queue
+   */
+  async queuePrompt(number2, { output, workflow }) {
+    const body = {
+      client_id: this.clientId,
+      prompt: output,
+      extra_data: { extra_pnginfo: { workflow } }
+    };
+    if (number2 === -1) {
+      body.front = true;
+    } else if (number2 != 0) {
+      body.number = number2;
+    }
+    const res = await this.fetchApi("/prompt", {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json"
+      },
+      body: JSON.stringify(body)
+    });
+    if (res.status !== 200) {
+      throw {
+        response: await res.json()
+      };
+    }
+    return await res.json();
+  }
+  /**
+   * Gets a list of models in the specified folder
+   * @param {string} folder The folder to list models from, such as 'checkpoints'
+   * @returns The list of model filenames within the specified folder
+   */
+  async getModels(folder) {
+    const res = await this.fetchApi(`/models/${folder}`);
+    if (res.status === 404) {
+      return null;
+    }
+    return await res.json();
+  }
+  /**
+   * Tells the server to download a model from the specified URL to the specified directory and filename
+   * @param {string} url The URL to download the model from
+   * @param {string} model_directory The main directory (eg 'checkpoints') to save the model to
+   * @param {string} model_filename The filename to save the model as
+   * @param {number} progress_interval The interval in seconds at which to report download progress (via 'download_progress' event)
+   */
+  async internalDownloadModel(url, model_directory, model_filename, progress_interval) {
+    const res = await this.fetchApi("/internal/models/download", {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json"
+      },
+      body: JSON.stringify({
+        url,
+        model_directory,
+        model_filename,
+        progress_interval
+      })
+    });
+    return await res.json();
+  }
+  /**
+   * Loads a list of items (queue or history)
+   * @param {string} type The type of items to load, queue or history
+   * @returns The items of the specified type grouped by their status
+   */
+  async getItems(type) {
+    if (type === "queue") {
+      return this.getQueue();
+    }
+    return this.getHistory();
+  }
+  /**
+   * Gets the current state of the queue
+   * @returns The currently running and queued items
+   */
+  async getQueue() {
+    try {
+      const res = await this.fetchApi("/queue");
+      const data24 = await res.json();
+      return {
+        // Running action uses a different endpoint for cancelling
+        Running: data24.queue_running.map((prompt2) => ({
+          taskType: "Running",
+          prompt: prompt2,
+          remove: { name: "Cancel", cb: /* @__PURE__ */ __name(() => api.interrupt(), "cb") }
+        })),
+        Pending: data24.queue_pending.map((prompt2) => ({
+          taskType: "Pending",
+          prompt: prompt2
+        }))
+      };
+    } catch (error) {
+      console.error(error);
+      return { Running: [], Pending: [] };
+    }
+  }
+  /**
+   * Gets the prompt execution history
+   * @returns Prompt history including node outputs
+   */
+  async getHistory(max_items = 200) {
+    try {
+      const res = await this.fetchApi(`/history?max_items=${max_items}`);
+      const json = await res.json();
+      return {
+        History: Object.values(json).map((item2) => ({
+          ...item2,
+          taskType: "History"
+        }))
+      };
+    } catch (error) {
+      console.error(error);
+      return { History: [] };
+    }
+  }
+  /**
+   * Gets system & device stats
+   * @returns System stats such as python version, OS, per device info
+   */
+  async getSystemStats() {
+    const res = await this.fetchApi("/system_stats");
+    return await res.json();
+  }
+  /**
+   * Sends a POST request to the API
+   * @param {*} type The endpoint to post to
+   * @param {*} body Optional POST data
+   */
+  async #postItem(type, body) {
+    try {
+      await this.fetchApi("/" + type, {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json"
+        },
+        body: body ? JSON.stringify(body) : void 0
+      });
+    } catch (error) {
+      console.error(error);
+    }
+  }
+  /**
+   * Deletes an item from the specified list
+   * @param {string} type The type of item to delete, queue or history
+   * @param {number} id The id of the item to delete
+   */
+  async deleteItem(type, id2) {
+    await this.#postItem(type, { delete: [id2] });
+  }
+  /**
+   * Clears the specified list
+   * @param {string} type The type of list to clear, queue or history
+   */
+  async clearItems(type) {
+    await this.#postItem(type, { clear: true });
+  }
+  /**
+   * Interrupts the execution of the running prompt
+   */
+  async interrupt() {
+    await this.#postItem("interrupt", null);
+  }
+  /**
+   * Gets user configuration data and where data should be stored
+   */
+  async getUserConfig() {
+    return (await this.fetchApi("/users")).json();
+  }
+  /**
+   * Creates a new user
+   * @param { string } username
+   * @returns The fetch response
+   */
+  createUser(username) {
+    return this.fetchApi("/users", {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json"
+      },
+      body: JSON.stringify({ username })
+    });
+  }
+  /**
+   * Gets all setting values for the current user
+   * @returns { Promise<string, unknown> } A dictionary of id -> value
+   */
+  async getSettings() {
+    return (await this.fetchApi("/settings")).json();
+  }
+  /**
+   * Gets a setting for the current user
+   * @param { string } id The id of the setting to fetch
+   * @returns { Promise<unknown> } The setting value
+   */
+  async getSetting(id2) {
+    return (await this.fetchApi(`/settings/${encodeURIComponent(id2)}`)).json();
+  }
+  /**
+   * Stores a dictionary of settings for the current user
+   */
+  async storeSettings(settings) {
+    return this.fetchApi(`/settings`, {
+      method: "POST",
+      body: JSON.stringify(settings)
+    });
+  }
+  /**
+   * Stores a setting for the current user
+   */
+  async storeSetting(id2, value3) {
+    return this.fetchApi(`/settings/${encodeURIComponent(id2)}`, {
+      method: "POST",
+      body: JSON.stringify(value3)
+    });
+  }
+  /**
+   * Gets a user data file for the current user
+   */
+  async getUserData(file, options3) {
+    return this.fetchApi(`/userdata/${encodeURIComponent(file)}`, options3);
+  }
+  /**
+   * Stores a user data file for the current user
+   * @param { string } file The name of the userdata file to save
+   * @param { unknown } data The data to save to the file
+   * @param { RequestInit & { stringify?: boolean, throwOnError?: boolean } } [options]
+   * @returns { Promise<Response> }
+   */
+  async storeUserData(file, data24, options3 = { overwrite: true, stringify: true, throwOnError: true }) {
+    const resp = await this.fetchApi(
+      `/userdata/${encodeURIComponent(file)}?overwrite=${options3.overwrite}`,
+      {
+        method: "POST",
+        body: options3?.stringify ? JSON.stringify(data24) : data24,
+        ...options3
+      }
+    );
+    if (resp.status !== 200 && options3.throwOnError !== false) {
+      throw new Error(
+        `Error storing user data file '${file}': ${resp.status} ${(await resp).statusText}`
+      );
+    }
+    return resp;
+  }
+  /**
+   * Deletes a user data file for the current user
+   * @param { string } file The name of the userdata file to delete
+   */
+  async deleteUserData(file) {
+    const resp = await this.fetchApi(`/userdata/${encodeURIComponent(file)}`, {
+      method: "DELETE"
+    });
+    return resp;
+  }
+  /**
+   * Move a user data file for the current user
+   * @param { string } source The userdata file to move
+   * @param { string } dest The destination for the file
+   */
+  async moveUserData(source, dest, options3 = { overwrite: false }) {
+    const resp = await this.fetchApi(
+      `/userdata/${encodeURIComponent(source)}/move/${encodeURIComponent(dest)}?overwrite=${options3?.overwrite}`,
+      {
+        method: "POST"
+      }
+    );
+    return resp;
+  }
+  async listUserData(dir, recurse, split) {
+    const resp = await this.fetchApi(
+      `/userdata?${new URLSearchParams({
+        recurse,
+        dir,
+        split
+      })}`
+    );
+    if (resp.status === 404) return [];
+    if (resp.status !== 200) {
+      throw new Error(
+        `Error getting user data list '${dir}': ${resp.status} ${resp.statusText}`
+      );
+    }
+    return resp.json();
+  }
+  async getLogs() {
+    return (await axios.get(this.internalURL("/logs"))).data;
+  }
+}
+const api = new ComfyApi();
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.api = window.comfyAPI.api || {};
+window.comfyAPI.api.api = api;
+let ComfyDialog$1 = class ComfyDialog2 extends EventTarget {
+  static {
+    __name(this, "ComfyDialog");
+  }
+  element;
+  textElement;
+  #buttons;
+  constructor(type = "div", buttons = null) {
+    super();
+    this.#buttons = buttons;
+    this.element = $el(type + ".comfy-modal", { parent: document.body }, [
+      $el("div.comfy-modal-content", [
+        $el("p", { $: /* @__PURE__ */ __name((p2) => this.textElement = p2, "$") }),
+        ...this.createButtons()
+      ])
+    ]);
+  }
+  createButtons() {
+    return this.#buttons ?? [
+      $el("button", {
+        type: "button",
+        textContent: "Close",
+        onclick: /* @__PURE__ */ __name(() => this.close(), "onclick")
+      })
+    ];
+  }
+  close() {
+    this.element.style.display = "none";
+  }
+  show(html) {
+    if (typeof html === "string") {
+      this.textElement.innerHTML = html;
+    } else {
+      this.textElement.replaceChildren(
+        ...html instanceof Array ? html : [html]
+      );
+    }
+    this.element.style.display = "flex";
+  }
+};
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.dialog = window.comfyAPI.dialog || {};
+window.comfyAPI.dialog.ComfyDialog = ComfyDialog$1;
+function toggleSwitch(name, items2, e) {
+  const onChange5 = e?.onChange;
+  let selectedIndex;
+  let elements;
+  function updateSelected(index2) {
+    if (selectedIndex != null) {
+      elements[selectedIndex].classList.remove("comfy-toggle-selected");
+    }
+    onChange5?.({
+      item: items2[index2],
+      prev: selectedIndex == null ? void 0 : items2[selectedIndex]
+    });
+    selectedIndex = index2;
+    elements[selectedIndex].classList.add("comfy-toggle-selected");
+  }
+  __name(updateSelected, "updateSelected");
+  elements = items2.map((item2, i2) => {
+    if (typeof item2 === "string") item2 = { text: item2 };
+    if (!item2.value) item2.value = item2.text;
+    const toggle4 = $el(
+      "label",
+      {
+        textContent: item2.text,
+        title: item2.tooltip ?? ""
+      },
+      $el("input", {
+        name,
+        type: "radio",
+        value: item2.value ?? item2.text,
+        checked: item2.selected,
+        onchange: /* @__PURE__ */ __name(() => {
+          updateSelected(i2);
+        }, "onchange")
+      })
+    );
+    if (item2.selected) {
+      updateSelected(i2);
+    }
+    return toggle4;
+  });
+  const container = $el("div.comfy-toggle-switch", elements);
+  if (selectedIndex == null) {
+    elements[0].children[0].checked = true;
+    updateSelected(0);
+  }
+  return container;
+}
+__name(toggleSwitch, "toggleSwitch");
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.toggleSwitch = window.comfyAPI.toggleSwitch || {};
+window.comfyAPI.toggleSwitch.toggleSwitch = toggleSwitch;
+var LinkReleaseTriggerMode = /* @__PURE__ */ ((LinkReleaseTriggerMode2) => {
+  LinkReleaseTriggerMode2["ALWAYS"] = "always";
+  LinkReleaseTriggerMode2["HOLD_SHIFT"] = "hold shift";
+  LinkReleaseTriggerMode2["NOT_HOLD_SHIFT"] = "NOT hold shift";
+  return LinkReleaseTriggerMode2;
+})(LinkReleaseTriggerMode || {});
+function buildTree(items2, key) {
+  const root26 = {
+    key: "root",
+    label: "root",
+    children: []
+  };
+  const map2 = {
+    root: root26
+  };
+  for (const item2 of items2) {
+    const keys2 = typeof key === "string" ? item2[key] : key(item2);
+    let parent = root26;
+    for (let i2 = 0; i2 < keys2.length; i2++) {
+      const k = keys2[i2];
+      if (k === "" && i2 === keys2.length - 1) break;
+      const id2 = parent.key + "/" + k;
+      if (!map2[id2]) {
+        const node3 = {
+          key: id2,
+          label: k,
+          leaf: false,
+          children: []
+        };
+        map2[id2] = node3;
+        parent.children.push(node3);
+      }
+      parent = map2[id2];
+    }
+    parent.leaf = keys2[keys2.length - 1] !== "";
+    parent.data = item2;
+  }
+  return root26;
+}
+__name(buildTree, "buildTree");
+function flattenTree(tree) {
+  const result = [];
+  const stack2 = [tree];
+  while (stack2.length) {
+    const node3 = stack2.pop();
+    if (node3.leaf && node3.data) result.push(node3.data);
+    stack2.push(...node3.children || []);
+  }
+  return result;
+}
+__name(flattenTree, "flattenTree");
+function sortedTree(node3) {
+  const newNode = {
+    ...node3
+  };
+  if (node3.children) {
+    const sortedChildren = [...node3.children].sort(
+      (a, b) => a.label.localeCompare(b.label)
+    );
+    newNode.children = [];
+    for (const child of sortedChildren) {
+      newNode.children.push(sortedTree(child));
+    }
+  }
+  return newNode;
+}
+__name(sortedTree, "sortedTree");
+const findNodeByKey = /* @__PURE__ */ __name((root26, key) => {
+  if (root26.key === key) {
+    return root26;
+  }
+  if (!root26.children) {
+    return null;
+  }
+  for (const child of root26.children) {
+    const result = findNodeByKey(child, key);
+    if (result) {
+      return result;
+    }
+  }
+  return null;
+}, "findNodeByKey");
+var isVue2$2 = false;
+var isVue3$2 = true;
+var Vue2$2 = void 0;
+function install$2() {
+}
+__name(install$2, "install$2");
+function set$3(target, key, val) {
+  if (Array.isArray(target)) {
+    target.length = Math.max(target.length, key);
+    target.splice(key, 1, val);
+    return val;
+  }
+  target[key] = val;
+  return val;
+}
+__name(set$3, "set$3");
+function del$2(target, key) {
+  if (Array.isArray(target)) {
+    target.splice(key, 1);
+    return;
+  }
+  delete target[key];
+}
+__name(del$2, "del$2");
+function getDevtoolsGlobalHook() {
+  return getTarget().__VUE_DEVTOOLS_GLOBAL_HOOK__;
+}
+__name(getDevtoolsGlobalHook, "getDevtoolsGlobalHook");
+function getTarget() {
+  return typeof navigator !== "undefined" && typeof window !== "undefined" ? window : typeof globalThis !== "undefined" ? globalThis : {};
+}
+__name(getTarget, "getTarget");
+const isProxyAvailable = typeof Proxy === "function";
+const HOOK_SETUP = "devtools-plugin:setup";
+const HOOK_PLUGIN_SETTINGS_SET = "plugin:settings:set";
+let supported;
+let perf;
+function isPerformanceSupported() {
+  var _a;
+  if (supported !== void 0) {
+    return supported;
+  }
+  if (typeof window !== "undefined" && window.performance) {
+    supported = true;
+    perf = window.performance;
+  } else if (typeof globalThis !== "undefined" && ((_a = globalThis.perf_hooks) === null || _a === void 0 ? void 0 : _a.performance)) {
+    supported = true;
+    perf = globalThis.perf_hooks.performance;
+  } else {
+    supported = false;
+  }
+  return supported;
+}
+__name(isPerformanceSupported, "isPerformanceSupported");
+function now$1() {
+  return isPerformanceSupported() ? perf.now() : Date.now();
+}
+__name(now$1, "now$1");
+class ApiProxy {
+  static {
+    __name(this, "ApiProxy");
+  }
+  constructor(plugin, hook) {
+    this.target = null;
+    this.targetQueue = [];
+    this.onQueue = [];
+    this.plugin = plugin;
+    this.hook = hook;
+    const defaultSettings = {};
+    if (plugin.settings) {
+      for (const id2 in plugin.settings) {
+        const item2 = plugin.settings[id2];
+        defaultSettings[id2] = item2.defaultValue;
+      }
+    }
+    const localSettingsSaveId = `__vue-devtools-plugin-settings__${plugin.id}`;
+    let currentSettings = Object.assign({}, defaultSettings);
+    try {
+      const raw = localStorage.getItem(localSettingsSaveId);
+      const data24 = JSON.parse(raw);
+      Object.assign(currentSettings, data24);
+    } catch (e) {
+    }
+    this.fallbacks = {
+      getSettings() {
+        return currentSettings;
+      },
+      setSettings(value3) {
+        try {
+          localStorage.setItem(localSettingsSaveId, JSON.stringify(value3));
+        } catch (e) {
+        }
+        currentSettings = value3;
+      },
+      now() {
+        return now$1();
+      }
+    };
+    if (hook) {
+      hook.on(HOOK_PLUGIN_SETTINGS_SET, (pluginId, value3) => {
+        if (pluginId === this.plugin.id) {
+          this.fallbacks.setSettings(value3);
+        }
+      });
+    }
+    this.proxiedOn = new Proxy({}, {
+      get: /* @__PURE__ */ __name((_target, prop2) => {
+        if (this.target) {
+          return this.target.on[prop2];
+        } else {
+          return (...args) => {
+            this.onQueue.push({
+              method: prop2,
+              args
+            });
+          };
+        }
+      }, "get")
+    });
+    this.proxiedTarget = new Proxy({}, {
+      get: /* @__PURE__ */ __name((_target, prop2) => {
+        if (this.target) {
+          return this.target[prop2];
+        } else if (prop2 === "on") {
+          return this.proxiedOn;
+        } else if (Object.keys(this.fallbacks).includes(prop2)) {
+          return (...args) => {
+            this.targetQueue.push({
+              method: prop2,
+              args,
+              resolve: /* @__PURE__ */ __name(() => {
+              }, "resolve")
+            });
+            return this.fallbacks[prop2](...args);
+          };
+        } else {
+          return (...args) => {
+            return new Promise((resolve8) => {
+              this.targetQueue.push({
+                method: prop2,
+                args,
+                resolve: resolve8
+              });
+            });
+          };
+        }
+      }, "get")
+    });
+  }
+  async setRealTarget(target) {
+    this.target = target;
+    for (const item2 of this.onQueue) {
+      this.target.on[item2.method](...item2.args);
+    }
+    for (const item2 of this.targetQueue) {
+      item2.resolve(await this.target[item2.method](...item2.args));
+    }
+  }
+}
+function setupDevtoolsPlugin(pluginDescriptor, setupFn) {
+  const descriptor = pluginDescriptor;
+  const target = getTarget();
+  const hook = getDevtoolsGlobalHook();
+  const enableProxy = isProxyAvailable && descriptor.enableEarlyProxy;
+  if (hook && (target.__VUE_DEVTOOLS_PLUGIN_API_AVAILABLE__ || !enableProxy)) {
+    hook.emit(HOOK_SETUP, pluginDescriptor, setupFn);
+  } else {
+    const proxy = enableProxy ? new ApiProxy(descriptor, hook) : null;
+    const list = target.__VUE_DEVTOOLS_PLUGINS__ = target.__VUE_DEVTOOLS_PLUGINS__ || [];
+    list.push({
+      pluginDescriptor: descriptor,
+      setupFn,
+      proxy
+    });
+    if (proxy) {
+      setupFn(proxy.proxiedTarget);
+    }
+  }
+}
+__name(setupDevtoolsPlugin, "setupDevtoolsPlugin");
+/*!
+ * pinia v2.1.7
+ * (c) 2023 Eduardo San Martin Morote
+ * @license MIT
+ */
+let activePinia;
+const setActivePinia = /* @__PURE__ */ __name((pinia2) => activePinia = pinia2, "setActivePinia");
+const getActivePinia = /* @__PURE__ */ __name(() => hasInjectionContext() && inject(piniaSymbol) || activePinia, "getActivePinia");
+const piniaSymbol = false ? Symbol("pinia") : (
+  /* istanbul ignore next */
+  Symbol()
+);
+function isPlainObject$1(o) {
+  return o && typeof o === "object" && Object.prototype.toString.call(o) === "[object Object]" && typeof o.toJSON !== "function";
+}
+__name(isPlainObject$1, "isPlainObject$1");
+var MutationType;
+(function(MutationType2) {
+  MutationType2["direct"] = "direct";
+  MutationType2["patchObject"] = "patch object";
+  MutationType2["patchFunction"] = "patch function";
+})(MutationType || (MutationType = {}));
+const IS_CLIENT = typeof window !== "undefined";
+const USE_DEVTOOLS = false;
+const _global$1 = /* @__PURE__ */ (() => typeof window === "object" && window.window === window ? window : typeof self === "object" && self.self === self ? self : typeof global === "object" && global.global === global ? global : typeof globalThis === "object" ? globalThis : { HTMLElement: null })();
+function bom(blob, { autoBom = false } = {}) {
+  if (autoBom && /^\s*(?:text\/\S*|application\/xml|\S*\/\S*\+xml)\s*;.*charset\s*=\s*utf-8/i.test(blob.type)) {
+    return new Blob([String.fromCharCode(65279), blob], { type: blob.type });
+  }
+  return blob;
+}
+__name(bom, "bom");
+function download(url, name, opts) {
+  const xhr = new XMLHttpRequest();
+  xhr.open("GET", url);
+  xhr.responseType = "blob";
+  xhr.onload = function() {
+    saveAs(xhr.response, name, opts);
+  };
+  xhr.onerror = function() {
+    console.error("could not download file");
+  };
+  xhr.send();
+}
+__name(download, "download");
+function corsEnabled(url) {
+  const xhr = new XMLHttpRequest();
+  xhr.open("HEAD", url, false);
+  try {
+    xhr.send();
+  } catch (e) {
+  }
+  return xhr.status >= 200 && xhr.status <= 299;
+}
+__name(corsEnabled, "corsEnabled");
+function click(node3) {
+  try {
+    node3.dispatchEvent(new MouseEvent("click"));
+  } catch (e) {
+    const evt = document.createEvent("MouseEvents");
+    evt.initMouseEvent("click", true, true, window, 0, 0, 0, 80, 20, false, false, false, false, 0, null);
+    node3.dispatchEvent(evt);
+  }
+}
+__name(click, "click");
+const _navigator = typeof navigator === "object" ? navigator : { userAgent: "" };
+const isMacOSWebView = /* @__PURE__ */ (() => /Macintosh/.test(_navigator.userAgent) && /AppleWebKit/.test(_navigator.userAgent) && !/Safari/.test(_navigator.userAgent))();
+const saveAs = !IS_CLIENT ? () => {
+} : (
+  // Use download attribute first if possible (#193 Lumia mobile) unless this is a macOS WebView or mini program
+  typeof HTMLAnchorElement !== "undefined" && "download" in HTMLAnchorElement.prototype && !isMacOSWebView ? downloadSaveAs : (
+    // Use msSaveOrOpenBlob as a second approach
+    "msSaveOrOpenBlob" in _navigator ? msSaveAs : (
+      // Fallback to using FileReader and a popup
+      fileSaverSaveAs
+    )
+  )
+);
+function downloadSaveAs(blob, name = "download", opts) {
+  const a = document.createElement("a");
+  a.download = name;
+  a.rel = "noopener";
+  if (typeof blob === "string") {
+    a.href = blob;
+    if (a.origin !== location.origin) {
+      if (corsEnabled(a.href)) {
+        download(blob, name, opts);
+      } else {
+        a.target = "_blank";
+        click(a);
+      }
+    } else {
+      click(a);
+    }
+  } else {
+    a.href = URL.createObjectURL(blob);
+    setTimeout(function() {
+      URL.revokeObjectURL(a.href);
+    }, 4e4);
+    setTimeout(function() {
+      click(a);
+    }, 0);
+  }
+}
+__name(downloadSaveAs, "downloadSaveAs");
+function msSaveAs(blob, name = "download", opts) {
+  if (typeof blob === "string") {
+    if (corsEnabled(blob)) {
+      download(blob, name, opts);
+    } else {
+      const a = document.createElement("a");
+      a.href = blob;
+      a.target = "_blank";
+      setTimeout(function() {
+        click(a);
+      });
+    }
+  } else {
+    navigator.msSaveOrOpenBlob(bom(blob, opts), name);
+  }
+}
+__name(msSaveAs, "msSaveAs");
+function fileSaverSaveAs(blob, name, opts, popup) {
+  popup = popup || open("", "_blank");
+  if (popup) {
+    popup.document.title = popup.document.body.innerText = "downloading...";
+  }
+  if (typeof blob === "string")
+    return download(blob, name, opts);
+  const force = blob.type === "application/octet-stream";
+  const isSafari3 = /constructor/i.test(String(_global$1.HTMLElement)) || "safari" in _global$1;
+  const isChromeIOS = /CriOS\/[\d]+/.test(navigator.userAgent);
+  if ((isChromeIOS || force && isSafari3 || isMacOSWebView) && typeof FileReader !== "undefined") {
+    const reader = new FileReader();
+    reader.onloadend = function() {
+      let url = reader.result;
+      if (typeof url !== "string") {
+        popup = null;
+        throw new Error("Wrong reader.result type");
+      }
+      url = isChromeIOS ? url : url.replace(/^data:[^;]*;/, "data:attachment/file;");
+      if (popup) {
+        popup.location.href = url;
+      } else {
+        location.assign(url);
+      }
+      popup = null;
+    };
+    reader.readAsDataURL(blob);
+  } else {
+    const url = URL.createObjectURL(blob);
+    if (popup)
+      popup.location.assign(url);
+    else
+      location.href = url;
+    popup = null;
+    setTimeout(function() {
+      URL.revokeObjectURL(url);
+    }, 4e4);
+  }
+}
+__name(fileSaverSaveAs, "fileSaverSaveAs");
+function toastMessage(message3, type) {
+  const piniaMessage = "🍍 " + message3;
+  if (typeof __VUE_DEVTOOLS_TOAST__ === "function") {
+    __VUE_DEVTOOLS_TOAST__(piniaMessage, type);
+  } else if (type === "error") {
+    console.error(piniaMessage);
+  } else if (type === "warn") {
+    console.warn(piniaMessage);
+  } else {
+    console.log(piniaMessage);
+  }
+}
+__name(toastMessage, "toastMessage");
+function isPinia(o) {
+  return "_a" in o && "install" in o;
+}
+__name(isPinia, "isPinia");
+function checkClipboardAccess() {
+  if (!("clipboard" in navigator)) {
+    toastMessage(`Your browser doesn't support the Clipboard API`, "error");
+    return true;
+  }
+}
+__name(checkClipboardAccess, "checkClipboardAccess");
+function checkNotFocusedError(error) {
+  if (error instanceof Error && error.message.toLowerCase().includes("document is not focused")) {
+    toastMessage('You need to activate the "Emulate a focused page" setting in the "Rendering" panel of devtools.', "warn");
+    return true;
+  }
+  return false;
+}
+__name(checkNotFocusedError, "checkNotFocusedError");
+async function actionGlobalCopyState(pinia2) {
+  if (checkClipboardAccess())
+    return;
+  try {
+    await navigator.clipboard.writeText(JSON.stringify(pinia2.state.value));
+    toastMessage("Global state copied to clipboard.");
+  } catch (error) {
+    if (checkNotFocusedError(error))
+      return;
+    toastMessage(`Failed to serialize the state. Check the console for more details.`, "error");
+    console.error(error);
+  }
+}
+__name(actionGlobalCopyState, "actionGlobalCopyState");
+async function actionGlobalPasteState(pinia2) {
+  if (checkClipboardAccess())
+    return;
+  try {
+    loadStoresState(pinia2, JSON.parse(await navigator.clipboard.readText()));
+    toastMessage("Global state pasted from clipboard.");
+  } catch (error) {
+    if (checkNotFocusedError(error))
+      return;
+    toastMessage(`Failed to deserialize the state from clipboard. Check the console for more details.`, "error");
+    console.error(error);
+  }
+}
+__name(actionGlobalPasteState, "actionGlobalPasteState");
+async function actionGlobalSaveState(pinia2) {
+  try {
+    saveAs(new Blob([JSON.stringify(pinia2.state.value)], {
+      type: "text/plain;charset=utf-8"
+    }), "pinia-state.json");
+  } catch (error) {
+    toastMessage(`Failed to export the state as JSON. Check the console for more details.`, "error");
+    console.error(error);
+  }
+}
+__name(actionGlobalSaveState, "actionGlobalSaveState");
+let fileInput$1;
+function getFileOpener() {
+  if (!fileInput$1) {
+    fileInput$1 = document.createElement("input");
+    fileInput$1.type = "file";
+    fileInput$1.accept = ".json";
+  }
+  function openFile() {
+    return new Promise((resolve8, reject2) => {
+      fileInput$1.onchange = async () => {
+        const files = fileInput$1.files;
+        if (!files)
+          return resolve8(null);
+        const file = files.item(0);
+        if (!file)
+          return resolve8(null);
+        return resolve8({ text: await file.text(), file });
+      };
+      fileInput$1.oncancel = () => resolve8(null);
+      fileInput$1.onerror = reject2;
+      fileInput$1.click();
+    });
+  }
+  __name(openFile, "openFile");
+  return openFile;
+}
+__name(getFileOpener, "getFileOpener");
+async function actionGlobalOpenStateFile(pinia2) {
+  try {
+    const open2 = getFileOpener();
+    const result = await open2();
+    if (!result)
+      return;
+    const { text, file } = result;
+    loadStoresState(pinia2, JSON.parse(text));
+    toastMessage(`Global state imported from "${file.name}".`);
+  } catch (error) {
+    toastMessage(`Failed to import the state from JSON. Check the console for more details.`, "error");
+    console.error(error);
+  }
+}
+__name(actionGlobalOpenStateFile, "actionGlobalOpenStateFile");
+function loadStoresState(pinia2, state) {
+  for (const key in state) {
+    const storeState = pinia2.state.value[key];
+    if (storeState) {
+      Object.assign(storeState, state[key]);
+    } else {
+      pinia2.state.value[key] = state[key];
+    }
+  }
+}
+__name(loadStoresState, "loadStoresState");
+function formatDisplay(display) {
+  return {
+    _custom: {
+      display
+    }
+  };
+}
+__name(formatDisplay, "formatDisplay");
+const PINIA_ROOT_LABEL = "🍍 Pinia (root)";
+const PINIA_ROOT_ID = "_root";
+function formatStoreForInspectorTree(store) {
+  return isPinia(store) ? {
+    id: PINIA_ROOT_ID,
+    label: PINIA_ROOT_LABEL
+  } : {
+    id: store.$id,
+    label: store.$id
+  };
+}
+__name(formatStoreForInspectorTree, "formatStoreForInspectorTree");
+function formatStoreForInspectorState(store) {
+  if (isPinia(store)) {
+    const storeNames = Array.from(store._s.keys());
+    const storeMap = store._s;
+    const state2 = {
+      state: storeNames.map((storeId) => ({
+        editable: true,
+        key: storeId,
+        value: store.state.value[storeId]
+      })),
+      getters: storeNames.filter((id2) => storeMap.get(id2)._getters).map((id2) => {
+        const store2 = storeMap.get(id2);
+        return {
+          editable: false,
+          key: id2,
+          value: store2._getters.reduce((getters, key) => {
+            getters[key] = store2[key];
+            return getters;
+          }, {})
+        };
+      })
+    };
+    return state2;
+  }
+  const state = {
+    state: Object.keys(store.$state).map((key) => ({
+      editable: true,
+      key,
+      value: store.$state[key]
+    }))
+  };
+  if (store._getters && store._getters.length) {
+    state.getters = store._getters.map((getterName) => ({
+      editable: false,
+      key: getterName,
+      value: store[getterName]
+    }));
+  }
+  if (store._customProperties.size) {
+    state.customProperties = Array.from(store._customProperties).map((key) => ({
+      editable: true,
+      key,
+      value: store[key]
+    }));
+  }
+  return state;
+}
+__name(formatStoreForInspectorState, "formatStoreForInspectorState");
+function formatEventData(events2) {
+  if (!events2)
+    return {};
+  if (Array.isArray(events2)) {
+    return events2.reduce((data24, event2) => {
+      data24.keys.push(event2.key);
+      data24.operations.push(event2.type);
+      data24.oldValue[event2.key] = event2.oldValue;
+      data24.newValue[event2.key] = event2.newValue;
+      return data24;
+    }, {
+      oldValue: {},
+      keys: [],
+      operations: [],
+      newValue: {}
+    });
+  } else {
+    return {
+      operation: formatDisplay(events2.type),
+      key: formatDisplay(events2.key),
+      oldValue: events2.oldValue,
+      newValue: events2.newValue
+    };
+  }
+}
+__name(formatEventData, "formatEventData");
+function formatMutationType(type) {
+  switch (type) {
+    case MutationType.direct:
+      return "mutation";
+    case MutationType.patchFunction:
+      return "$patch";
+    case MutationType.patchObject:
+      return "$patch";
+    default:
+      return "unknown";
+  }
+}
+__name(formatMutationType, "formatMutationType");
+let isTimelineActive = true;
+const componentStateTypes = [];
+const MUTATIONS_LAYER_ID = "pinia:mutations";
+const INSPECTOR_ID = "pinia";
+const { assign: assign$1$1 } = Object;
+const getStoreType = /* @__PURE__ */ __name((id2) => "🍍 " + id2, "getStoreType");
+function registerPiniaDevtools(app2, pinia2) {
+  setupDevtoolsPlugin({
+    id: "dev.esm.pinia",
+    label: "Pinia 🍍",
+    logo: "https://pinia.vuejs.org/logo.svg",
+    packageName: "pinia",
+    homepage: "https://pinia.vuejs.org",
+    componentStateTypes,
+    app: app2
+  }, (api2) => {
+    if (typeof api2.now !== "function") {
+      toastMessage("You seem to be using an outdated version of Vue Devtools. Are you still using the Beta release instead of the stable one? You can find the links at https://devtools.vuejs.org/guide/installation.html.");
+    }
+    api2.addTimelineLayer({
+      id: MUTATIONS_LAYER_ID,
+      label: `Pinia 🍍`,
+      color: 15064968
+    });
+    api2.addInspector({
+      id: INSPECTOR_ID,
+      label: "Pinia 🍍",
+      icon: "storage",
+      treeFilterPlaceholder: "Search stores",
+      actions: [
+        {
+          icon: "content_copy",
+          action: /* @__PURE__ */ __name(() => {
+            actionGlobalCopyState(pinia2);
+          }, "action"),
+          tooltip: "Serialize and copy the state"
+        },
+        {
+          icon: "content_paste",
+          action: /* @__PURE__ */ __name(async () => {
+            await actionGlobalPasteState(pinia2);
+            api2.sendInspectorTree(INSPECTOR_ID);
+            api2.sendInspectorState(INSPECTOR_ID);
+          }, "action"),
+          tooltip: "Replace the state with the content of your clipboard"
+        },
+        {
+          icon: "save",
+          action: /* @__PURE__ */ __name(() => {
+            actionGlobalSaveState(pinia2);
+          }, "action"),
+          tooltip: "Save the state as a JSON file"
+        },
+        {
+          icon: "folder_open",
+          action: /* @__PURE__ */ __name(async () => {
+            await actionGlobalOpenStateFile(pinia2);
+            api2.sendInspectorTree(INSPECTOR_ID);
+            api2.sendInspectorState(INSPECTOR_ID);
+          }, "action"),
+          tooltip: "Import the state from a JSON file"
+        }
+      ],
+      nodeActions: [
+        {
+          icon: "restore",
+          tooltip: 'Reset the state (with "$reset")',
+          action: /* @__PURE__ */ __name((nodeId) => {
+            const store = pinia2._s.get(nodeId);
+            if (!store) {
+              toastMessage(`Cannot reset "${nodeId}" store because it wasn't found.`, "warn");
+            } else if (typeof store.$reset !== "function") {
+              toastMessage(`Cannot reset "${nodeId}" store because it doesn't have a "$reset" method implemented.`, "warn");
+            } else {
+              store.$reset();
+              toastMessage(`Store "${nodeId}" reset.`);
+            }
+          }, "action")
+        }
+      ]
+    });
+    api2.on.inspectComponent((payload, ctx) => {
+      const proxy = payload.componentInstance && payload.componentInstance.proxy;
+      if (proxy && proxy._pStores) {
+        const piniaStores = payload.componentInstance.proxy._pStores;
+        Object.values(piniaStores).forEach((store) => {
+          payload.instanceData.state.push({
+            type: getStoreType(store.$id),
+            key: "state",
+            editable: true,
+            value: store._isOptionsAPI ? {
+              _custom: {
+                value: toRaw(store.$state),
+                actions: [
+                  {
+                    icon: "restore",
+                    tooltip: "Reset the state of this store",
+                    action: /* @__PURE__ */ __name(() => store.$reset(), "action")
+                  }
+                ]
+              }
+            } : (
+              // NOTE: workaround to unwrap transferred refs
+              Object.keys(store.$state).reduce((state, key) => {
+                state[key] = store.$state[key];
+                return state;
+              }, {})
+            )
+          });
+          if (store._getters && store._getters.length) {
+            payload.instanceData.state.push({
+              type: getStoreType(store.$id),
+              key: "getters",
+              editable: false,
+              value: store._getters.reduce((getters, key) => {
+                try {
+                  getters[key] = store[key];
+                } catch (error) {
+                  getters[key] = error;
+                }
+                return getters;
+              }, {})
+            });
+          }
+        });
+      }
+    });
+    api2.on.getInspectorTree((payload) => {
+      if (payload.app === app2 && payload.inspectorId === INSPECTOR_ID) {
+        let stores = [pinia2];
+        stores = stores.concat(Array.from(pinia2._s.values()));
+        payload.rootNodes = (payload.filter ? stores.filter((store) => "$id" in store ? store.$id.toLowerCase().includes(payload.filter.toLowerCase()) : PINIA_ROOT_LABEL.toLowerCase().includes(payload.filter.toLowerCase())) : stores).map(formatStoreForInspectorTree);
+      }
+    });
+    api2.on.getInspectorState((payload) => {
+      if (payload.app === app2 && payload.inspectorId === INSPECTOR_ID) {
+        const inspectedStore = payload.nodeId === PINIA_ROOT_ID ? pinia2 : pinia2._s.get(payload.nodeId);
+        if (!inspectedStore) {
+          return;
+        }
+        if (inspectedStore) {
+          payload.state = formatStoreForInspectorState(inspectedStore);
+        }
+      }
+    });
+    api2.on.editInspectorState((payload, ctx) => {
+      if (payload.app === app2 && payload.inspectorId === INSPECTOR_ID) {
+        const inspectedStore = payload.nodeId === PINIA_ROOT_ID ? pinia2 : pinia2._s.get(payload.nodeId);
+        if (!inspectedStore) {
+          return toastMessage(`store "${payload.nodeId}" not found`, "error");
+        }
+        const { path } = payload;
+        if (!isPinia(inspectedStore)) {
+          if (path.length !== 1 || !inspectedStore._customProperties.has(path[0]) || path[0] in inspectedStore.$state) {
+            path.unshift("$state");
+          }
+        } else {
+          path.unshift("state");
+        }
+        isTimelineActive = false;
+        payload.set(inspectedStore, path, payload.state.value);
+        isTimelineActive = true;
+      }
+    });
+    api2.on.editComponentState((payload) => {
+      if (payload.type.startsWith("🍍")) {
+        const storeId = payload.type.replace(/^🍍\s*/, "");
+        const store = pinia2._s.get(storeId);
+        if (!store) {
+          return toastMessage(`store "${storeId}" not found`, "error");
+        }
+        const { path } = payload;
+        if (path[0] !== "state") {
+          return toastMessage(`Invalid path for store "${storeId}":
+${path}
+Only state can be modified.`);
+        }
+        path[0] = "$state";
+        isTimelineActive = false;
+        payload.set(store, path, payload.state.value);
+        isTimelineActive = true;
+      }
+    });
+  });
+}
+__name(registerPiniaDevtools, "registerPiniaDevtools");
+function addStoreToDevtools(app2, store) {
+  if (!componentStateTypes.includes(getStoreType(store.$id))) {
+    componentStateTypes.push(getStoreType(store.$id));
+  }
+  setupDevtoolsPlugin({
+    id: "dev.esm.pinia",
+    label: "Pinia 🍍",
+    logo: "https://pinia.vuejs.org/logo.svg",
+    packageName: "pinia",
+    homepage: "https://pinia.vuejs.org",
+    componentStateTypes,
+    app: app2,
+    settings: {
+      logStoreChanges: {
+        label: "Notify about new/deleted stores",
+        type: "boolean",
+        defaultValue: true
+      }
+      // useEmojis: {
+      //   label: 'Use emojis in messages ⚡️',
+      //   type: 'boolean',
+      //   defaultValue: true,
+      // },
+    }
+  }, (api2) => {
+    const now2 = typeof api2.now === "function" ? api2.now.bind(api2) : Date.now;
+    store.$onAction(({ after, onError, name, args }) => {
+      const groupId = runningActionId++;
+      api2.addTimelineEvent({
+        layerId: MUTATIONS_LAYER_ID,
+        event: {
+          time: now2(),
+          title: "🛫 " + name,
+          subtitle: "start",
+          data: {
+            store: formatDisplay(store.$id),
+            action: formatDisplay(name),
+            args
+          },
+          groupId
+        }
+      });
+      after((result) => {
+        activeAction = void 0;
+        api2.addTimelineEvent({
+          layerId: MUTATIONS_LAYER_ID,
+          event: {
+            time: now2(),
+            title: "🛬 " + name,
+            subtitle: "end",
+            data: {
+              store: formatDisplay(store.$id),
+              action: formatDisplay(name),
+              args,
+              result
+            },
+            groupId
+          }
+        });
+      });
+      onError((error) => {
+        activeAction = void 0;
+        api2.addTimelineEvent({
+          layerId: MUTATIONS_LAYER_ID,
+          event: {
+            time: now2(),
+            logType: "error",
+            title: "💥 " + name,
+            subtitle: "end",
+            data: {
+              store: formatDisplay(store.$id),
+              action: formatDisplay(name),
+              args,
+              error
+            },
+            groupId
+          }
+        });
+      });
+    }, true);
+    store._customProperties.forEach((name) => {
+      watch(() => unref(store[name]), (newValue, oldValue) => {
+        api2.notifyComponentUpdate();
+        api2.sendInspectorState(INSPECTOR_ID);
+        if (isTimelineActive) {
+          api2.addTimelineEvent({
+            layerId: MUTATIONS_LAYER_ID,
+            event: {
+              time: now2(),
+              title: "Change",
+              subtitle: name,
+              data: {
+                newValue,
+                oldValue
+              },
+              groupId: activeAction
+            }
+          });
+        }
+      }, { deep: true });
+    });
+    store.$subscribe(({ events: events2, type }, state) => {
+      api2.notifyComponentUpdate();
+      api2.sendInspectorState(INSPECTOR_ID);
+      if (!isTimelineActive)
+        return;
+      const eventData = {
+        time: now2(),
+        title: formatMutationType(type),
+        data: assign$1$1({ store: formatDisplay(store.$id) }, formatEventData(events2)),
+        groupId: activeAction
+      };
+      if (type === MutationType.patchFunction) {
+        eventData.subtitle = "⤵️";
+      } else if (type === MutationType.patchObject) {
+        eventData.subtitle = "🧩";
+      } else if (events2 && !Array.isArray(events2)) {
+        eventData.subtitle = events2.type;
+      }
+      if (events2) {
+        eventData.data["rawEvent(s)"] = {
+          _custom: {
+            display: "DebuggerEvent",
+            type: "object",
+            tooltip: "raw DebuggerEvent[]",
+            value: events2
+          }
+        };
+      }
+      api2.addTimelineEvent({
+        layerId: MUTATIONS_LAYER_ID,
+        event: eventData
+      });
+    }, { detached: true, flush: "sync" });
+    const hotUpdate = store._hotUpdate;
+    store._hotUpdate = markRaw((newStore) => {
+      hotUpdate(newStore);
+      api2.addTimelineEvent({
+        layerId: MUTATIONS_LAYER_ID,
+        event: {
+          time: now2(),
+          title: "🔥 " + store.$id,
+          subtitle: "HMR update",
+          data: {
+            store: formatDisplay(store.$id),
+            info: formatDisplay(`HMR update`)
+          }
+        }
+      });
+      api2.notifyComponentUpdate();
+      api2.sendInspectorTree(INSPECTOR_ID);
+      api2.sendInspectorState(INSPECTOR_ID);
+    });
+    const { $dispose } = store;
+    store.$dispose = () => {
+      $dispose();
+      api2.notifyComponentUpdate();
+      api2.sendInspectorTree(INSPECTOR_ID);
+      api2.sendInspectorState(INSPECTOR_ID);
+      api2.getSettings().logStoreChanges && toastMessage(`Disposed "${store.$id}" store 🗑`);
+    };
+    api2.notifyComponentUpdate();
+    api2.sendInspectorTree(INSPECTOR_ID);
+    api2.sendInspectorState(INSPECTOR_ID);
+    api2.getSettings().logStoreChanges && toastMessage(`"${store.$id}" store installed 🆕`);
+  });
+}
+__name(addStoreToDevtools, "addStoreToDevtools");
+let runningActionId = 0;
+let activeAction;
+function patchActionForGrouping(store, actionNames, wrapWithProxy) {
+  const actions = actionNames.reduce((storeActions, actionName) => {
+    storeActions[actionName] = toRaw(store)[actionName];
+    return storeActions;
+  }, {});
+  for (const actionName in actions) {
+    store[actionName] = function() {
+      const _actionId = runningActionId;
+      const trackedStore = wrapWithProxy ? new Proxy(store, {
+        get(...args) {
+          activeAction = _actionId;
+          return Reflect.get(...args);
+        },
+        set(...args) {
+          activeAction = _actionId;
+          return Reflect.set(...args);
+        }
+      }) : store;
+      activeAction = _actionId;
+      const retValue = actions[actionName].apply(trackedStore, arguments);
+      activeAction = void 0;
+      return retValue;
+    };
+  }
+}
+__name(patchActionForGrouping, "patchActionForGrouping");
+function devtoolsPlugin({ app: app2, store, options: options3 }) {
+  if (store.$id.startsWith("__hot:")) {
+    return;
+  }
+  store._isOptionsAPI = !!options3.state;
+  patchActionForGrouping(store, Object.keys(options3.actions), store._isOptionsAPI);
+  const originalHotUpdate = store._hotUpdate;
+  toRaw(store)._hotUpdate = function(newStore) {
+    originalHotUpdate.apply(this, arguments);
+    patchActionForGrouping(store, Object.keys(newStore._hmrPayload.actions), !!store._isOptionsAPI);
+  };
+  addStoreToDevtools(
+    app2,
+    // FIXME: is there a way to allow the assignment from Store<Id, S, G, A> to StoreGeneric?
+    store
+  );
+}
+__name(devtoolsPlugin, "devtoolsPlugin");
+function createPinia() {
+  const scope = effectScope(true);
+  const state = scope.run(() => ref({}));
+  let _p = [];
+  let toBeInstalled = [];
+  const pinia2 = markRaw({
+    install(app2) {
+      setActivePinia(pinia2);
+      if (!isVue2$2) {
+        pinia2._a = app2;
+        app2.provide(piniaSymbol, pinia2);
+        app2.config.globalProperties.$pinia = pinia2;
+        if (USE_DEVTOOLS) {
+          registerPiniaDevtools(app2, pinia2);
+        }
+        toBeInstalled.forEach((plugin) => _p.push(plugin));
+        toBeInstalled = [];
+      }
+    },
+    use(plugin) {
+      if (!this._a && !isVue2$2) {
+        toBeInstalled.push(plugin);
+      } else {
+        _p.push(plugin);
+      }
+      return this;
+    },
+    _p,
+    // it's actually undefined here
+    // @ts-expect-error
+    _a: null,
+    _e: scope,
+    _s: /* @__PURE__ */ new Map(),
+    state
+  });
+  if (USE_DEVTOOLS && typeof Proxy !== "undefined") {
+    pinia2.use(devtoolsPlugin);
+  }
+  return pinia2;
+}
+__name(createPinia, "createPinia");
+const isUseStore = /* @__PURE__ */ __name((fn) => {
+  return typeof fn === "function" && typeof fn.$id === "string";
+}, "isUseStore");
+function patchObject(newState, oldState) {
+  for (const key in oldState) {
+    const subPatch = oldState[key];
+    if (!(key in newState)) {
+      continue;
+    }
+    const targetValue = newState[key];
+    if (isPlainObject$1(targetValue) && isPlainObject$1(subPatch) && !isRef(subPatch) && !isReactive(subPatch)) {
+      newState[key] = patchObject(targetValue, subPatch);
+    } else {
+      if (isVue2$2) {
+        set$3(newState, key, subPatch);
+      } else {
+        newState[key] = subPatch;
+      }
+    }
+  }
+  return newState;
+}
+__name(patchObject, "patchObject");
+function acceptHMRUpdate(initialUseStore, hot) {
+  if (true) {
+    return () => {
+    };
+  }
+  return (newModule) => {
+    const pinia2 = hot.data.pinia || initialUseStore._pinia;
+    if (!pinia2) {
+      return;
+    }
+    hot.data.pinia = pinia2;
+    for (const exportName in newModule) {
+      const useStore = newModule[exportName];
+      if (isUseStore(useStore) && pinia2._s.has(useStore.$id)) {
+        const id2 = useStore.$id;
+        if (id2 !== initialUseStore.$id) {
+          console.warn(`The id of the store changed from "${initialUseStore.$id}" to "${id2}". Reloading.`);
+          return hot.invalidate();
+        }
+        const existingStore = pinia2._s.get(id2);
+        if (!existingStore) {
+          console.log(`[Pinia]: skipping hmr because store doesn't exist yet`);
+          return;
+        }
+        useStore(pinia2, existingStore);
+      }
+    }
+  };
+}
+__name(acceptHMRUpdate, "acceptHMRUpdate");
+const noop$1 = /* @__PURE__ */ __name(() => {
+}, "noop$1");
+function addSubscription(subscriptions, callback, detached, onCleanup = noop$1) {
+  subscriptions.push(callback);
+  const removeSubscription = /* @__PURE__ */ __name(() => {
+    const idx = subscriptions.indexOf(callback);
+    if (idx > -1) {
+      subscriptions.splice(idx, 1);
+      onCleanup();
+    }
+  }, "removeSubscription");
+  if (!detached && getCurrentScope()) {
+    onScopeDispose(removeSubscription);
+  }
+  return removeSubscription;
+}
+__name(addSubscription, "addSubscription");
+function triggerSubscriptions(subscriptions, ...args) {
+  subscriptions.slice().forEach((callback) => {
+    callback(...args);
+  });
+}
+__name(triggerSubscriptions, "triggerSubscriptions");
+const fallbackRunWithContext = /* @__PURE__ */ __name((fn) => fn(), "fallbackRunWithContext");
+function mergeReactiveObjects(target, patchToApply) {
+  if (target instanceof Map && patchToApply instanceof Map) {
+    patchToApply.forEach((value3, key) => target.set(key, value3));
+  }
+  if (target instanceof Set && patchToApply instanceof Set) {
+    patchToApply.forEach(target.add, target);
+  }
+  for (const key in patchToApply) {
+    if (!patchToApply.hasOwnProperty(key))
+      continue;
+    const subPatch = patchToApply[key];
+    const targetValue = target[key];
+    if (isPlainObject$1(targetValue) && isPlainObject$1(subPatch) && target.hasOwnProperty(key) && !isRef(subPatch) && !isReactive(subPatch)) {
+      target[key] = mergeReactiveObjects(targetValue, subPatch);
+    } else {
+      target[key] = subPatch;
+    }
+  }
+  return target;
+}
+__name(mergeReactiveObjects, "mergeReactiveObjects");
+const skipHydrateSymbol = false ? Symbol("pinia:skipHydration") : (
+  /* istanbul ignore next */
+  Symbol()
+);
+const skipHydrateMap = /* @__PURE__ */ new WeakMap();
+function skipHydrate(obj) {
+  return isVue2$2 ? (
+    // in @vue/composition-api, the refs are sealed so defineProperty doesn't work...
+    /* istanbul ignore next */
+    skipHydrateMap.set(obj, 1) && obj
+  ) : Object.defineProperty(obj, skipHydrateSymbol, {});
+}
+__name(skipHydrate, "skipHydrate");
+function shouldHydrate(obj) {
+  return isVue2$2 ? (
+    /* istanbul ignore next */
+    !skipHydrateMap.has(obj)
+  ) : !isPlainObject$1(obj) || !obj.hasOwnProperty(skipHydrateSymbol);
+}
+__name(shouldHydrate, "shouldHydrate");
+const { assign: assign$2 } = Object;
+function isComputed(o) {
+  return !!(isRef(o) && o.effect);
+}
+__name(isComputed, "isComputed");
+function createOptionsStore(id2, options3, pinia2, hot) {
+  const { state, actions, getters } = options3;
+  const initialState = pinia2.state.value[id2];
+  let store;
+  function setup2() {
+    if (!initialState && true) {
+      if (isVue2$2) {
+        set$3(pinia2.state.value, id2, state ? state() : {});
+      } else {
+        pinia2.state.value[id2] = state ? state() : {};
+      }
+    }
+    const localState = false ? (
+      // use ref() to unwrap refs inside state TODO: check if this is still necessary
+      toRefs$1(ref(state ? state() : {}).value)
+    ) : toRefs$1(pinia2.state.value[id2]);
+    return assign$2(localState, actions, Object.keys(getters || {}).reduce((computedGetters, name) => {
+      if (false) {
+        console.warn(`[🍍]: A getter cannot have the same name as another state property. Rename one of them. Found with "${name}" in store "${id2}".`);
+      }
+      computedGetters[name] = markRaw(computed(() => {
+        setActivePinia(pinia2);
+        const store2 = pinia2._s.get(id2);
+        if (isVue2$2 && !store2._r)
+          return;
+        return getters[name].call(store2, store2);
+      }));
+      return computedGetters;
+    }, {}));
+  }
+  __name(setup2, "setup");
+  store = createSetupStore(id2, setup2, options3, pinia2, hot, true);
+  return store;
+}
+__name(createOptionsStore, "createOptionsStore");
+function createSetupStore($id, setup2, options3 = {}, pinia2, hot, isOptionsStore) {
+  let scope;
+  const optionsForPlugin = assign$2({ actions: {} }, options3);
+  if (false) {
+    throw new Error("Pinia destroyed");
+  }
+  const $subscribeOptions = {
+    deep: true
+    // flush: 'post',
+  };
+  if (false) {
+    $subscribeOptions.onTrigger = (event2) => {
+      if (isListening) {
+        debuggerEvents = event2;
+      } else if (isListening == false && !store._hotUpdating) {
+        if (Array.isArray(debuggerEvents)) {
+          debuggerEvents.push(event2);
+        } else {
+          console.error("🍍 debuggerEvents should be an array. This is most likely an internal Pinia bug.");
+        }
+      }
+    };
+  }
+  let isListening;
+  let isSyncListening;
+  let subscriptions = [];
+  let actionSubscriptions = [];
+  let debuggerEvents;
+  const initialState = pinia2.state.value[$id];
+  if (!isOptionsStore && !initialState && true) {
+    if (isVue2$2) {
+      set$3(pinia2.state.value, $id, {});
+    } else {
+      pinia2.state.value[$id] = {};
+    }
+  }
+  const hotState = ref({});
+  let activeListener;
+  function $patch(partialStateOrMutator) {
+    let subscriptionMutation;
+    isListening = isSyncListening = false;
+    if (false) {
+      debuggerEvents = [];
+    }
+    if (typeof partialStateOrMutator === "function") {
+      partialStateOrMutator(pinia2.state.value[$id]);
+      subscriptionMutation = {
+        type: MutationType.patchFunction,
+        storeId: $id,
+        events: debuggerEvents
+      };
+    } else {
+      mergeReactiveObjects(pinia2.state.value[$id], partialStateOrMutator);
+      subscriptionMutation = {
+        type: MutationType.patchObject,
+        payload: partialStateOrMutator,
+        storeId: $id,
+        events: debuggerEvents
+      };
+    }
+    const myListenerId = activeListener = Symbol();
+    nextTick().then(() => {
+      if (activeListener === myListenerId) {
+        isListening = true;
+      }
+    });
+    isSyncListening = true;
+    triggerSubscriptions(subscriptions, subscriptionMutation, pinia2.state.value[$id]);
+  }
+  __name($patch, "$patch");
+  const $reset = isOptionsStore ? /* @__PURE__ */ __name(function $reset2() {
+    const { state } = options3;
+    const newState = state ? state() : {};
+    this.$patch(($state) => {
+      assign$2($state, newState);
+    });
+  }, "$reset2") : (
+    /* istanbul ignore next */
+    false ? () => {
+      throw new Error(`🍍: Store "${$id}" is built using the setup syntax and does not implement $reset().`);
+    } : noop$1
+  );
+  function $dispose() {
+    scope.stop();
+    subscriptions = [];
+    actionSubscriptions = [];
+    pinia2._s.delete($id);
+  }
+  __name($dispose, "$dispose");
+  function wrapAction(name, action) {
+    return function() {
+      setActivePinia(pinia2);
+      const args = Array.from(arguments);
+      const afterCallbackList = [];
+      const onErrorCallbackList = [];
+      function after(callback) {
+        afterCallbackList.push(callback);
+      }
+      __name(after, "after");
+      function onError(callback) {
+        onErrorCallbackList.push(callback);
+      }
+      __name(onError, "onError");
+      triggerSubscriptions(actionSubscriptions, {
+        args,
+        name,
+        store,
+        after,
+        onError
+      });
+      let ret;
+      try {
+        ret = action.apply(this && this.$id === $id ? this : store, args);
+      } catch (error) {
+        triggerSubscriptions(onErrorCallbackList, error);
+        throw error;
+      }
+      if (ret instanceof Promise) {
+        return ret.then((value3) => {
+          triggerSubscriptions(afterCallbackList, value3);
+          return value3;
+        }).catch((error) => {
+          triggerSubscriptions(onErrorCallbackList, error);
+          return Promise.reject(error);
+        });
+      }
+      triggerSubscriptions(afterCallbackList, ret);
+      return ret;
+    };
+  }
+  __name(wrapAction, "wrapAction");
+  const _hmrPayload = /* @__PURE__ */ markRaw({
+    actions: {},
+    getters: {},
+    state: [],
+    hotState
+  });
+  const partialStore = {
+    _p: pinia2,
+    // _s: scope,
+    $id,
+    $onAction: addSubscription.bind(null, actionSubscriptions),
+    $patch,
+    $reset,
+    $subscribe(callback, options22 = {}) {
+      const removeSubscription = addSubscription(subscriptions, callback, options22.detached, () => stopWatcher());
+      const stopWatcher = scope.run(() => watch(() => pinia2.state.value[$id], (state) => {
+        if (options22.flush === "sync" ? isSyncListening : isListening) {
+          callback({
+            storeId: $id,
+            type: MutationType.direct,
+            events: debuggerEvents
+          }, state);
+        }
+      }, assign$2({}, $subscribeOptions, options22)));
+      return removeSubscription;
+    },
+    $dispose
+  };
+  if (isVue2$2) {
+    partialStore._r = false;
+  }
+  const store = reactive(USE_DEVTOOLS ? assign$2(
+    {
+      _hmrPayload,
+      _customProperties: markRaw(/* @__PURE__ */ new Set())
+      // devtools custom properties
+    },
+    partialStore
+    // must be added later
+    // setupStore
+  ) : partialStore);
+  pinia2._s.set($id, store);
+  const runWithContext = pinia2._a && pinia2._a.runWithContext || fallbackRunWithContext;
+  const setupStore = runWithContext(() => pinia2._e.run(() => (scope = effectScope()).run(setup2)));
+  for (const key in setupStore) {
+    const prop2 = setupStore[key];
+    if (isRef(prop2) && !isComputed(prop2) || isReactive(prop2)) {
+      if (false) {
+        set$3(hotState.value, key, toRef$1(setupStore, key));
+      } else if (!isOptionsStore) {
+        if (initialState && shouldHydrate(prop2)) {
+          if (isRef(prop2)) {
+            prop2.value = initialState[key];
+          } else {
+            mergeReactiveObjects(prop2, initialState[key]);
+          }
+        }
+        if (isVue2$2) {
+          set$3(pinia2.state.value[$id], key, prop2);
+        } else {
+          pinia2.state.value[$id][key] = prop2;
+        }
+      }
+      if (false) {
+        _hmrPayload.state.push(key);
+      }
+    } else if (typeof prop2 === "function") {
+      const actionValue = false ? prop2 : wrapAction(key, prop2);
+      if (isVue2$2) {
+        set$3(setupStore, key, actionValue);
+      } else {
+        setupStore[key] = actionValue;
+      }
+      if (false) {
+        _hmrPayload.actions[key] = prop2;
+      }
+      optionsForPlugin.actions[key] = prop2;
+    } else if (false) {
+      if (isComputed(prop2)) {
+        _hmrPayload.getters[key] = isOptionsStore ? (
+          // @ts-expect-error
+          options3.getters[key]
+        ) : prop2;
+        if (IS_CLIENT) {
+          const getters = setupStore._getters || // @ts-expect-error: same
+          (setupStore._getters = markRaw([]));
+          getters.push(key);
+        }
+      }
+    }
+  }
+  if (isVue2$2) {
+    Object.keys(setupStore).forEach((key) => {
+      set$3(store, key, setupStore[key]);
+    });
+  } else {
+    assign$2(store, setupStore);
+    assign$2(toRaw(store), setupStore);
+  }
+  Object.defineProperty(store, "$state", {
+    get: /* @__PURE__ */ __name(() => false ? hotState.value : pinia2.state.value[$id], "get"),
+    set: /* @__PURE__ */ __name((state) => {
+      if (false) {
+        throw new Error("cannot set hotState");
+      }
+      $patch(($state) => {
+        assign$2($state, state);
+      });
+    }, "set")
+  });
+  if (false) {
+    store._hotUpdate = markRaw((newStore) => {
+      store._hotUpdating = true;
+      newStore._hmrPayload.state.forEach((stateKey) => {
+        if (stateKey in store.$state) {
+          const newStateTarget = newStore.$state[stateKey];
+          const oldStateSource = store.$state[stateKey];
+          if (typeof newStateTarget === "object" && isPlainObject$1(newStateTarget) && isPlainObject$1(oldStateSource)) {
+            patchObject(newStateTarget, oldStateSource);
+          } else {
+            newStore.$state[stateKey] = oldStateSource;
+          }
+        }
+        set$3(store, stateKey, toRef$1(newStore.$state, stateKey));
+      });
+      Object.keys(store.$state).forEach((stateKey) => {
+        if (!(stateKey in newStore.$state)) {
+          del$2(store, stateKey);
+        }
+      });
+      isListening = false;
+      isSyncListening = false;
+      pinia2.state.value[$id] = toRef$1(newStore._hmrPayload, "hotState");
+      isSyncListening = true;
+      nextTick().then(() => {
+        isListening = true;
+      });
+      for (const actionName in newStore._hmrPayload.actions) {
+        const action = newStore[actionName];
+        set$3(store, actionName, wrapAction(actionName, action));
+      }
+      for (const getterName in newStore._hmrPayload.getters) {
+        const getter = newStore._hmrPayload.getters[getterName];
+        const getterValue = isOptionsStore ? (
+          // special handling of options api
+          computed(() => {
+            setActivePinia(pinia2);
+            return getter.call(store, store);
+          })
+        ) : getter;
+        set$3(store, getterName, getterValue);
+      }
+      Object.keys(store._hmrPayload.getters).forEach((key) => {
+        if (!(key in newStore._hmrPayload.getters)) {
+          del$2(store, key);
+        }
+      });
+      Object.keys(store._hmrPayload.actions).forEach((key) => {
+        if (!(key in newStore._hmrPayload.actions)) {
+          del$2(store, key);
+        }
+      });
+      store._hmrPayload = newStore._hmrPayload;
+      store._getters = newStore._getters;
+      store._hotUpdating = false;
+    });
+  }
+  if (USE_DEVTOOLS) {
+    const nonEnumerable = {
+      writable: true,
+      configurable: true,
+      // avoid warning on devtools trying to display this property
+      enumerable: false
+    };
+    ["_p", "_hmrPayload", "_getters", "_customProperties"].forEach((p2) => {
+      Object.defineProperty(store, p2, assign$2({ value: store[p2] }, nonEnumerable));
+    });
+  }
+  if (isVue2$2) {
+    store._r = true;
+  }
+  pinia2._p.forEach((extender) => {
+    if (USE_DEVTOOLS) {
+      const extensions = scope.run(() => extender({
+        store,
+        app: pinia2._a,
+        pinia: pinia2,
+        options: optionsForPlugin
+      }));
+      Object.keys(extensions || {}).forEach((key) => store._customProperties.add(key));
+      assign$2(store, extensions);
+    } else {
+      assign$2(store, scope.run(() => extender({
+        store,
+        app: pinia2._a,
+        pinia: pinia2,
+        options: optionsForPlugin
+      })));
+    }
+  });
+  if (false) {
+    console.warn(`[🍍]: The "state" must be a plain object. It cannot be
+	state: () => new MyClass()
+Found in store "${store.$id}".`);
+  }
+  if (initialState && isOptionsStore && options3.hydrate) {
+    options3.hydrate(store.$state, initialState);
+  }
+  isListening = true;
+  isSyncListening = true;
+  return store;
+}
+__name(createSetupStore, "createSetupStore");
+function defineStore(idOrOptions, setup2, setupOptions) {
+  let id2;
+  let options3;
+  const isSetupStore = typeof setup2 === "function";
+  if (typeof idOrOptions === "string") {
+    id2 = idOrOptions;
+    options3 = isSetupStore ? setupOptions : setup2;
+  } else {
+    options3 = idOrOptions;
+    id2 = idOrOptions.id;
+    if (false) {
+      throw new Error(`[🍍]: "defineStore()" must be passed a store id as its first argument.`);
+    }
+  }
+  function useStore(pinia2, hot) {
+    const hasContext = hasInjectionContext();
+    pinia2 = // in test mode, ignore the argument provided as we can always retrieve a
+    // pinia instance with getActivePinia()
+    (false ? null : pinia2) || (hasContext ? inject(piniaSymbol, null) : null);
+    if (pinia2)
+      setActivePinia(pinia2);
+    if (false) {
+      throw new Error(`[🍍]: "getActivePinia()" was called but there was no active Pinia. Are you trying to use a store before calling "app.use(pinia)"?
+See https://pinia.vuejs.org/core-concepts/outside-component-usage.html for help.
+This will fail in production.`);
+    }
+    pinia2 = activePinia;
+    if (!pinia2._s.has(id2)) {
+      if (isSetupStore) {
+        createSetupStore(id2, setup2, options3, pinia2);
+      } else {
+        createOptionsStore(id2, options3, pinia2);
+      }
+      if (false) {
+        useStore._pinia = pinia2;
+      }
+    }
+    const store = pinia2._s.get(id2);
+    if (false) {
+      const hotId = "__hot:" + id2;
+      const newStore = isSetupStore ? createSetupStore(hotId, setup2, options3, pinia2, true) : createOptionsStore(hotId, assign$2({}, options3), pinia2, true);
+      hot._hotUpdate(newStore);
+      delete pinia2.state.value[hotId];
+      pinia2._s.delete(hotId);
+    }
+    if (false) {
+      const currentInstance2 = getCurrentInstance();
+      if (currentInstance2 && currentInstance2.proxy && // avoid adding stores that are just built for hot module replacement
+      !hot) {
+        const vm = currentInstance2.proxy;
+        const cache2 = "_pStores" in vm ? vm._pStores : vm._pStores = {};
+        cache2[id2] = store;
+      }
+    }
+    return store;
+  }
+  __name(useStore, "useStore");
+  useStore.$id = id2;
+  return useStore;
+}
+__name(defineStore, "defineStore");
+let mapStoreSuffix = "Store";
+function setMapStoreSuffix(suffix2) {
+  mapStoreSuffix = suffix2;
+}
+__name(setMapStoreSuffix, "setMapStoreSuffix");
+function mapStores(...stores) {
+  if (false) {
+    console.warn(`[🍍]: Directly pass all stores to "mapStores()" without putting them in an array:
+Replace
+	mapStores([useAuthStore, useCartStore])
+with
+	mapStores(useAuthStore, useCartStore)
+This will fail in production if not fixed.`);
+    stores = stores[0];
+  }
+  return stores.reduce((reduced, useStore) => {
+    reduced[useStore.$id + mapStoreSuffix] = function() {
+      return useStore(this.$pinia);
+    };
+    return reduced;
+  }, {});
+}
+__name(mapStores, "mapStores");
+function mapState(useStore, keysOrMapper) {
+  return Array.isArray(keysOrMapper) ? keysOrMapper.reduce((reduced, key) => {
+    reduced[key] = function() {
+      return useStore(this.$pinia)[key];
+    };
+    return reduced;
+  }, {}) : Object.keys(keysOrMapper).reduce((reduced, key) => {
+    reduced[key] = function() {
+      const store = useStore(this.$pinia);
+      const storeKey = keysOrMapper[key];
+      return typeof storeKey === "function" ? storeKey.call(this, store) : store[storeKey];
+    };
+    return reduced;
+  }, {});
+}
+__name(mapState, "mapState");
+const mapGetters = mapState;
+function mapActions(useStore, keysOrMapper) {
+  return Array.isArray(keysOrMapper) ? keysOrMapper.reduce((reduced, key) => {
+    reduced[key] = function(...args) {
+      return useStore(this.$pinia)[key](...args);
+    };
+    return reduced;
+  }, {}) : Object.keys(keysOrMapper).reduce((reduced, key) => {
+    reduced[key] = function(...args) {
+      return useStore(this.$pinia)[keysOrMapper[key]](...args);
+    };
+    return reduced;
+  }, {});
+}
+__name(mapActions, "mapActions");
+function mapWritableState(useStore, keysOrMapper) {
+  return Array.isArray(keysOrMapper) ? keysOrMapper.reduce((reduced, key) => {
+    reduced[key] = {
+      get() {
+        return useStore(this.$pinia)[key];
+      },
+      set(value3) {
+        return useStore(this.$pinia)[key] = value3;
+      }
+    };
+    return reduced;
+  }, {}) : Object.keys(keysOrMapper).reduce((reduced, key) => {
+    reduced[key] = {
+      get() {
+        return useStore(this.$pinia)[keysOrMapper[key]];
+      },
+      set(value3) {
+        return useStore(this.$pinia)[keysOrMapper[key]] = value3;
+      }
+    };
+    return reduced;
+  }, {});
+}
+__name(mapWritableState, "mapWritableState");
+function storeToRefs(store) {
+  if (isVue2$2) {
+    return toRefs$1(store);
+  } else {
+    store = toRaw(store);
+    const refs = {};
+    for (const key in store) {
+      const value3 = store[key];
+      if (isRef(value3) || isReactive(value3)) {
+        refs[key] = // ---
+        toRef$1(store, key);
+      }
+    }
+    return refs;
+  }
+}
+__name(storeToRefs, "storeToRefs");
+const PiniaVuePlugin = /* @__PURE__ */ __name(function(_Vue) {
+  _Vue.mixin({
+    beforeCreate() {
+      const options3 = this.$options;
+      if (options3.pinia) {
+        const pinia2 = options3.pinia;
+        if (!this._provided) {
+          const provideCache = {};
+          Object.defineProperty(this, "_provided", {
+            get: /* @__PURE__ */ __name(() => provideCache, "get"),
+            set: /* @__PURE__ */ __name((v2) => Object.assign(provideCache, v2), "set")
+          });
+        }
+        this._provided[piniaSymbol] = pinia2;
+        if (!this.$pinia) {
+          this.$pinia = pinia2;
+        }
+        pinia2._a = this;
+        if (IS_CLIENT) {
+          setActivePinia(pinia2);
+        }
+        if (USE_DEVTOOLS) {
+          registerPiniaDevtools(pinia2._a, pinia2);
+        }
+      } else if (!this.$pinia && options3.parent && options3.parent.$pinia) {
+        this.$pinia = options3.parent.$pinia;
+      }
+    },
+    destroyed() {
+      delete this._pStores;
+    }
+  });
+}, "PiniaVuePlugin");
+const useSettingStore = defineStore("setting", {
+  state: /* @__PURE__ */ __name(() => ({
+    settingValues: {},
+    settings: {}
+  }), "state"),
+  getters: {
+    // Setting tree structure used for the settings dialog display.
+    settingTree() {
+      const root26 = buildTree(
+        Object.values(this.settings).filter(
+          (setting) => setting.type !== "hidden"
+        ),
+        (setting) => setting.category || setting.id.split(".")
+      );
+      const floatingSettings = root26.children.filter((node3) => node3.leaf);
+      if (floatingSettings.length) {
+        root26.children = root26.children.filter((node3) => !node3.leaf);
+        root26.children.push({
+          key: "Other",
+          label: "Other",
+          leaf: false,
+          children: floatingSettings
+        });
+      }
+      return root26;
+    }
+  },
+  actions: {
+    addSettings(settings) {
+      for (const id2 in settings.settingsLookup) {
+        const value3 = settings.getSettingValue(id2);
+        this.settingValues[id2] = value3;
+      }
+      this.settings = settings.settingsParamLookup;
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Validation.Workflows",
+        name: "Validate workflows",
+        type: "boolean",
+        defaultValue: true
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.NodeSearchBoxImpl",
+        category: ["Comfy", "Node Search Box", "Implementation"],
+        experimental: true,
+        name: "Node search box implementation",
+        type: "combo",
+        options: ["default", "litegraph (legacy)"],
+        defaultValue: "default"
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.NodeSearchBoxImpl.LinkReleaseTrigger",
+        category: ["Comfy", "Node Search Box", "LinkReleaseTrigger"],
+        name: "Trigger on link release",
+        tooltip: "Only applies to the default implementation",
+        type: "combo",
+        options: Object.values(LinkReleaseTriggerMode),
+        defaultValue: LinkReleaseTriggerMode.ALWAYS
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.NodeSearchBoxImpl.NodePreview",
+        category: ["Comfy", "Node Search Box", "NodePreview"],
+        name: "Node preview",
+        tooltip: "Only applies to the default implementation",
+        type: "boolean",
+        defaultValue: true
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.NodeSearchBoxImpl.ShowCategory",
+        category: ["Comfy", "Node Search Box", "ShowCategory"],
+        name: "Show node category in search results",
+        tooltip: "Only applies to the default implementation",
+        type: "boolean",
+        defaultValue: true
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Sidebar.Location",
+        category: ["Comfy", "Sidebar", "Location"],
+        name: "Sidebar location",
+        type: "combo",
+        options: ["left", "right"],
+        defaultValue: "left"
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Sidebar.Size",
+        category: ["Comfy", "Sidebar", "Size"],
+        name: "Sidebar size",
+        type: "combo",
+        options: ["normal", "small"],
+        defaultValue: window.innerWidth < 1600 ? "small" : "normal"
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.TextareaWidget.FontSize",
+        category: ["Comfy", "Node Widget", "TextareaWidget", "FontSize"],
+        name: "Textarea widget font size",
+        type: "slider",
+        defaultValue: 10,
+        attrs: {
+          min: 8,
+          max: 24
+        }
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.TextareaWidget.Spellcheck",
+        category: ["Comfy", "Node Widget", "TextareaWidget", "Spellcheck"],
+        name: "Textarea widget spellcheck",
+        type: "boolean",
+        defaultValue: false
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Workflow.SortNodeIdOnSave",
+        name: "Sort node IDs when saving workflow",
+        type: "boolean",
+        defaultValue: false
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Graph.CanvasInfo",
+        name: "Show canvas info (fps, etc.)",
+        type: "boolean",
+        defaultValue: true
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Node.ShowDeprecated",
+        name: "Show deprecated nodes in search",
+        tooltip: "Deprecated nodes are hidden by default in the UI, but remain functional in existing workflows that use them.",
+        type: "boolean",
+        defaultValue: false
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Node.ShowExperimental",
+        name: "Show experimental nodes in search",
+        tooltip: "Experimental nodes are marked as such in the UI and may be subject to significant changes or removal in future versions. Use with caution in production workflows",
+        type: "boolean",
+        defaultValue: true
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Workflow.ShowMissingNodesWarning",
+        name: "Show missing nodes warning",
+        type: "boolean",
+        defaultValue: true
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Workflow.ShowMissingModelsWarning",
+        name: "Show missing models warning",
+        type: "boolean",
+        defaultValue: false,
+        experimental: true
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Graph.ZoomSpeed",
+        name: "Canvas zoom speed",
+        type: "slider",
+        defaultValue: 1.1,
+        attrs: {
+          min: 1.01,
+          max: 2.5,
+          step: 0.01
+        }
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.NodeLibrary.Bookmarks",
+        name: "Node library bookmarks",
+        type: "hidden",
+        defaultValue: []
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.NodeLibrary.BookmarksCustomization",
+        name: "Node library bookmarks customization",
+        type: "hidden",
+        defaultValue: {}
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Queue.ImageFit",
+        name: "Queue image fit",
+        type: "hidden",
+        defaultValue: "cover"
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Workflow.ModelDownload.AllowedSources",
+        name: "Allowed model download sources",
+        type: "hidden",
+        defaultValue: ["https://huggingface.co/", "https://civitai.com/"]
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Workflow.ModelDownload.AllowedSuffixes",
+        name: "Allowed model download suffixes",
+        type: "hidden",
+        defaultValue: [".safetensors", ".sft"]
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.GroupSelectedNodes.Padding",
+        name: "Group selected nodes padding",
+        type: "slider",
+        defaultValue: 10,
+        attrs: {
+          min: 0,
+          max: 100
+        }
+      });
+      app$1.ui.settings.addSetting({
+        id: "Comfy.Node.DoubleClickTitleToEdit",
+        name: "Double click node title to edit",
+        type: "boolean",
+        defaultValue: true
+      });
+    },
+    set(key, value3) {
+      this.settingValues[key] = value3;
+      app$1.ui.settings.setSettingValue(key, value3);
+    },
+    get(key) {
+      return this.settingValues[key] ?? app$1.ui.settings.getSettingDefaultValue(key);
+    }
+  }
+});
+class ComfySettingsDialog extends ComfyDialog$1 {
+  static {
+    __name(this, "ComfySettingsDialog");
+  }
+  app;
+  settingsValues;
+  settingsLookup;
+  settingsParamLookup;
+  constructor(app2) {
+    super();
+    const frontendVersion = window["__COMFYUI_FRONTEND_VERSION__"];
+    this.app = app2;
+    this.settingsValues = {};
+    this.settingsLookup = {};
+    this.settingsParamLookup = {};
+    this.element = $el(
+      "dialog",
+      {
+        id: "comfy-settings-dialog",
+        parent: document.body
+      },
+      [
+        $el("table.comfy-modal-content.comfy-table", [
+          $el(
+            "caption",
+            { textContent: `Settings (v${frontendVersion})` },
+            $el("button.comfy-btn", {
+              type: "button",
+              textContent: "×",
+              onclick: /* @__PURE__ */ __name(() => {
+                this.element.close();
+              }, "onclick")
+            })
+          ),
+          $el("tbody", { $: /* @__PURE__ */ __name((tbody) => this.textElement = tbody, "$") }),
+          $el("button", {
+            type: "button",
+            textContent: "Close",
+            style: {
+              cursor: "pointer"
+            },
+            onclick: /* @__PURE__ */ __name(() => {
+              this.element.close();
+            }, "onclick")
+          })
+        ])
+      ]
+    );
+  }
+  get settings() {
+    return Object.values(this.settingsLookup);
+  }
+  #dispatchChange(id2, value3, oldValue) {
+    if (this.app.vueAppReady) {
+      useSettingStore().settingValues[id2] = value3;
+    }
+    this.dispatchEvent(
+      new CustomEvent(id2 + ".change", {
+        detail: {
+          value: value3,
+          oldValue
+        }
+      })
+    );
+  }
+  async load() {
+    if (this.app.storageLocation === "browser") {
+      this.settingsValues = localStorage;
+    } else {
+      this.settingsValues = await api.getSettings();
+    }
+    for (const id2 in this.settingsLookup) {
+      const value3 = this.settingsValues[this.getId(id2)];
+      this.settingsLookup[id2].onChange?.(value3);
+      this.#dispatchChange(id2, value3);
+    }
+  }
+  getId(id2) {
+    if (this.app.storageLocation === "browser") {
+      id2 = "Comfy.Settings." + id2;
+    }
+    return id2;
+  }
+  getSettingValue(id2, defaultValue) {
+    let value3 = this.settingsValues[this.getId(id2)];
+    if (value3 != null) {
+      if (this.app.storageLocation === "browser") {
+        try {
+          value3 = JSON.parse(value3);
+        } catch (error) {
+        }
+      }
+    }
+    return value3 ?? defaultValue;
+  }
+  getSettingDefaultValue(id2) {
+    const param = this.settingsParamLookup[id2];
+    return param?.defaultValue;
+  }
+  async setSettingValueAsync(id2, value3) {
+    const json = JSON.stringify(value3);
+    localStorage["Comfy.Settings." + id2] = json;
+    let oldValue = this.getSettingValue(id2, void 0);
+    this.settingsValues[this.getId(id2)] = value3;
+    if (id2 in this.settingsLookup) {
+      this.settingsLookup[id2].onChange?.(value3, oldValue);
+    }
+    this.#dispatchChange(id2, value3, oldValue);
+    await api.storeSetting(id2, value3);
+  }
+  setSettingValue(id2, value3) {
+    this.setSettingValueAsync(id2, value3).catch((err) => {
+      alert(`Error saving setting '${id2}'`);
+      console.error(err);
+    });
+  }
+  refreshSetting(id2) {
+    const value3 = this.getSettingValue(id2);
+    this.settingsLookup[id2].onChange?.(value3);
+    this.#dispatchChange(id2, value3);
+  }
+  addSetting(params) {
+    const {
+      id: id2,
+      name,
+      type,
+      defaultValue,
+      onChange: onChange5,
+      attrs: attrs3 = {},
+      tooltip = "",
+      options: options3 = void 0
+    } = params;
+    if (!id2) {
+      throw new Error("Settings must have an ID");
+    }
+    if (id2 in this.settingsLookup) {
+      throw new Error(`Setting ${id2} of type ${type} must have a unique ID.`);
+    }
+    let skipOnChange = false;
+    let value3 = this.getSettingValue(id2);
+    if (value3 == null) {
+      if (this.app.isNewUserSession) {
+        const localValue = localStorage["Comfy.Settings." + id2];
+        if (localValue) {
+          value3 = JSON.parse(localValue);
+          this.setSettingValue(id2, value3);
+        }
+      }
+      if (value3 == null) {
+        value3 = defaultValue;
+      }
+    }
+    if (!skipOnChange) {
+      onChange5?.(value3, void 0);
+      this.#dispatchChange(id2, value3);
+    }
+    this.settingsParamLookup[id2] = params;
+    if (this.app.vueAppReady) {
+      useSettingStore().settings[id2] = params;
+    }
+    this.settingsLookup[id2] = {
+      id: id2,
+      onChange: onChange5,
+      name,
+      render: /* @__PURE__ */ __name(() => {
+        if (type === "hidden") return;
+        const setter = /* @__PURE__ */ __name((v2) => {
+          if (onChange5) {
+            onChange5(v2, value3);
+          }
+          this.setSettingValue(id2, v2);
+          value3 = v2;
+        }, "setter");
+        value3 = this.getSettingValue(id2, defaultValue);
+        let element;
+        const htmlID = id2.replaceAll(".", "-");
+        const labelCell = $el("td", [
+          $el("label", {
+            for: htmlID,
+            classList: [tooltip !== "" ? "comfy-tooltip-indicator" : ""],
+            textContent: name
+          })
+        ]);
+        if (typeof type === "function") {
+          element = type(name, setter, value3, attrs3);
+        } else {
+          switch (type) {
+            case "boolean":
+              element = $el("tr", [
+                labelCell,
+                $el("td", [
+                  $el("input", {
+                    id: htmlID,
+                    type: "checkbox",
+                    checked: value3,
+                    onchange: /* @__PURE__ */ __name((event2) => {
+                      const isChecked2 = event2.target.checked;
+                      if (onChange5 !== void 0) {
+                        onChange5(isChecked2);
+                      }
+                      this.setSettingValue(id2, isChecked2);
+                    }, "onchange")
+                  })
+                ])
+              ]);
+              break;
+            case "number":
+              element = $el("tr", [
+                labelCell,
+                $el("td", [
+                  $el("input", {
+                    type,
+                    value: value3,
+                    id: htmlID,
+                    oninput: /* @__PURE__ */ __name((e) => {
+                      setter(e.target.value);
+                    }, "oninput"),
+                    ...attrs3
+                  })
+                ])
+              ]);
+              break;
+            case "slider":
+              element = $el("tr", [
+                labelCell,
+                $el("td", [
+                  $el(
+                    "div",
+                    {
+                      style: {
+                        display: "grid",
+                        gridAutoFlow: "column"
+                      }
+                    },
+                    [
+                      $el("input", {
+                        ...attrs3,
+                        value: value3,
+                        type: "range",
+                        oninput: /* @__PURE__ */ __name((e) => {
+                          setter(e.target.value);
+                          e.target.nextElementSibling.value = e.target.value;
+                        }, "oninput")
+                      }),
+                      $el("input", {
+                        ...attrs3,
+                        value: value3,
+                        id: htmlID,
+                        type: "number",
+                        style: { maxWidth: "4rem" },
+                        oninput: /* @__PURE__ */ __name((e) => {
+                          setter(e.target.value);
+                          e.target.previousElementSibling.value = e.target.value;
+                        }, "oninput")
+                      })
+                    ]
+                  )
+                ])
+              ]);
+              break;
+            case "combo":
+              element = $el("tr", [
+                labelCell,
+                $el("td", [
+                  $el(
+                    "select",
+                    {
+                      oninput: /* @__PURE__ */ __name((e) => {
+                        setter(e.target.value);
+                      }, "oninput")
+                    },
+                    (typeof options3 === "function" ? options3(value3) : options3 || []).map((opt) => {
+                      if (typeof opt === "string") {
+                        opt = { text: opt };
+                      }
+                      const v2 = opt.value ?? opt.text;
+                      return $el("option", {
+                        value: v2,
+                        textContent: opt.text,
+                        selected: value3 + "" === v2 + ""
+                      });
+                    })
+                  )
+                ])
+              ]);
+              break;
+            case "text":
+            default:
+              if (type !== "text") {
+                console.warn(
+                  `Unsupported setting type '${type}, defaulting to text`
+                );
+              }
+              element = $el("tr", [
+                labelCell,
+                $el("td", [
+                  $el("input", {
+                    value: value3,
+                    id: htmlID,
+                    oninput: /* @__PURE__ */ __name((e) => {
+                      setter(e.target.value);
+                    }, "oninput"),
+                    ...attrs3
+                  })
+                ])
+              ]);
+              break;
+          }
+        }
+        if (tooltip) {
+          element.title = tooltip;
+        }
+        return element;
+      }, "render")
+    };
+    const self2 = this;
+    return {
+      get value() {
+        return self2.getSettingValue(id2, defaultValue);
+      },
+      set value(v2) {
+        self2.setSettingValue(id2, v2);
+      }
+    };
+  }
+  show() {
+    this.textElement.replaceChildren(
+      $el(
+        "tr",
+        {
+          style: { display: "none" }
+        },
+        [$el("th"), $el("th", { style: { width: "33%" } })]
+      ),
+      ...this.settings.sort((a, b) => a.name.localeCompare(b.name)).map((s) => s.render()).filter(Boolean)
+    );
+    this.element.showModal();
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.settings = window.comfyAPI.settings || {};
+window.comfyAPI.settings.ComfySettingsDialog = ComfySettingsDialog;
+const useDialogStore = defineStore("dialog", {
+  state: /* @__PURE__ */ __name(() => ({
+    isVisible: false,
+    title: "",
+    headerComponent: null,
+    component: null,
+    props: {}
+  }), "state"),
+  actions: {
+    showDialog(options3) {
+      this.title = options3.title;
+      this.headerComponent = markRaw(options3.headerComponent);
+      this.component = markRaw(options3.component);
+      this.props = options3.props || {};
+      this.isVisible = true;
+    },
+    closeDialog() {
+      this.isVisible = false;
+    }
+  }
+});
+var css = "\n.p-icon {\n    display: inline-block;\n}\n\n.p-icon-spin {\n    -webkit-animation: p-icon-spin 2s infinite linear;\n    animation: p-icon-spin 2s infinite linear;\n}\n\n@-webkit-keyframes p-icon-spin {\n    0% {\n        -webkit-transform: rotate(0deg);\n        transform: rotate(0deg);\n    }\n    100% {\n        -webkit-transform: rotate(359deg);\n        transform: rotate(359deg);\n    }\n}\n\n@keyframes p-icon-spin {\n    0% {\n        -webkit-transform: rotate(0deg);\n        transform: rotate(0deg);\n    }\n    100% {\n        -webkit-transform: rotate(359deg);\n        transform: rotate(359deg);\n    }\n}\n";
+var BaseIconStyle = BaseStyle.extend({
+  name: "baseicon",
+  css
+});
+function _typeof$e(o) {
+  "@babel/helpers - typeof";
+  return _typeof$e = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$e(o);
+}
+__name(_typeof$e, "_typeof$e");
+function ownKeys$d(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
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+  }
+  return t;
+}
+__name(ownKeys$d, "ownKeys$d");
+function _objectSpread$d(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$d(Object(t), true).forEach(function(r2) {
+      _defineProperty$e(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$d(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
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+__name(_objectSpread$d, "_objectSpread$d");
+function _defineProperty$e(e, r, t) {
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+__name(_defineProperty$e, "_defineProperty$e");
+function _toPropertyKey$d(t) {
+  var i2 = _toPrimitive$d(t, "string");
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+}
+__name(_toPropertyKey$d, "_toPropertyKey$d");
+function _toPrimitive$d(t, r) {
+  if ("object" != _typeof$e(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$e(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$d, "_toPrimitive$d");
+var script$U = {
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+  "extends": script$X,
+  props: {
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+      "default": void 0
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+  },
+  style: BaseIconStyle,
+  provide: /* @__PURE__ */ __name(function provide4() {
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+}
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+}
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+  var e = t[Symbol.toPrimitive];
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+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$c(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$b, "_toPrimitive$b");
+var script$M = {
+  name: "VirtualScroller",
+  "extends": script$1$v,
+  inheritAttrs: false,
+  emits: ["update:numToleratedItems", "scroll", "scroll-index-change", "lazy-load"],
+  data: /* @__PURE__ */ __name(function data2() {
+    var both = this.isBoth();
+    return {
+      first: both ? {
+        rows: 0,
+        cols: 0
+      } : 0,
+      last: both ? {
+        rows: 0,
+        cols: 0
+      } : 0,
+      page: both ? {
+        rows: 0,
+        cols: 0
+      } : 0,
+      numItemsInViewport: both ? {
+        rows: 0,
+        cols: 0
+      } : 0,
+      lastScrollPos: both ? {
+        top: 0,
+        left: 0
+      } : 0,
+      d_numToleratedItems: this.numToleratedItems,
+      d_loading: this.loading,
+      loaderArr: [],
+      spacerStyle: {},
+      contentStyle: {}
+    };
+  }, "data"),
+  element: null,
+  content: null,
+  lastScrollPos: null,
+  scrollTimeout: null,
+  resizeTimeout: null,
+  defaultWidth: 0,
+  defaultHeight: 0,
+  defaultContentWidth: 0,
+  defaultContentHeight: 0,
+  isRangeChanged: false,
+  lazyLoadState: {},
+  resizeListener: null,
+  initialized: false,
+  watch: {
+    numToleratedItems: /* @__PURE__ */ __name(function numToleratedItems(newValue) {
+      this.d_numToleratedItems = newValue;
+    }, "numToleratedItems"),
+    loading: /* @__PURE__ */ __name(function loading(newValue, oldValue) {
+      if (this.lazy && newValue !== oldValue && newValue !== this.d_loading) {
+        this.d_loading = newValue;
+      }
+    }, "loading"),
+    items: /* @__PURE__ */ __name(function items(newValue, oldValue) {
+      if (!oldValue || oldValue.length !== (newValue || []).length) {
+        this.init();
+        this.calculateAutoSize();
+      }
+    }, "items"),
+    itemSize: /* @__PURE__ */ __name(function itemSize() {
+      this.init();
+      this.calculateAutoSize();
+    }, "itemSize"),
+    orientation: /* @__PURE__ */ __name(function orientation() {
+      this.lastScrollPos = this.isBoth() ? {
+        top: 0,
+        left: 0
+      } : 0;
+    }, "orientation"),
+    scrollHeight: /* @__PURE__ */ __name(function scrollHeight() {
+      this.init();
+      this.calculateAutoSize();
+    }, "scrollHeight"),
+    scrollWidth: /* @__PURE__ */ __name(function scrollWidth() {
+      this.init();
+      this.calculateAutoSize();
+    }, "scrollWidth")
+  },
+  mounted: /* @__PURE__ */ __name(function mounted3() {
+    this.viewInit();
+    this.lastScrollPos = this.isBoth() ? {
+      top: 0,
+      left: 0
+    } : 0;
+    this.lazyLoadState = this.lazyLoadState || {};
+  }, "mounted"),
+  updated: /* @__PURE__ */ __name(function updated3() {
+    !this.initialized && this.viewInit();
+  }, "updated"),
+  unmounted: /* @__PURE__ */ __name(function unmounted4() {
+    this.unbindResizeListener();
+    this.initialized = false;
+  }, "unmounted"),
+  methods: {
+    viewInit: /* @__PURE__ */ __name(function viewInit() {
+      if (isVisible(this.element)) {
+        this.setContentEl(this.content);
+        this.init();
+        this.calculateAutoSize();
+        this.bindResizeListener();
+        this.defaultWidth = getWidth(this.element);
+        this.defaultHeight = getHeight(this.element);
+        this.defaultContentWidth = getWidth(this.content);
+        this.defaultContentHeight = getHeight(this.content);
+        this.initialized = true;
+      }
+    }, "viewInit"),
+    init: /* @__PURE__ */ __name(function init() {
+      if (!this.disabled) {
+        this.setSize();
+        this.calculateOptions();
+        this.setSpacerSize();
+      }
+    }, "init"),
+    isVertical: /* @__PURE__ */ __name(function isVertical() {
+      return this.orientation === "vertical";
+    }, "isVertical"),
+    isHorizontal: /* @__PURE__ */ __name(function isHorizontal() {
+      return this.orientation === "horizontal";
+    }, "isHorizontal"),
+    isBoth: /* @__PURE__ */ __name(function isBoth() {
+      return this.orientation === "both";
+    }, "isBoth"),
+    scrollTo: /* @__PURE__ */ __name(function scrollTo2(options3) {
+      this.element && this.element.scrollTo(options3);
+    }, "scrollTo"),
+    scrollToIndex: /* @__PURE__ */ __name(function scrollToIndex(index2) {
+      var _this = this;
+      var behavior = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : "auto";
+      var both = this.isBoth();
+      var horizontal3 = this.isHorizontal();
+      var valid = both ? index2.every(function(i2) {
+        return i2 > -1;
+      }) : index2 > -1;
+      if (valid) {
+        var first = this.first;
+        var _this$element = this.element, _this$element$scrollT = _this$element.scrollTop, scrollTop2 = _this$element$scrollT === void 0 ? 0 : _this$element$scrollT, _this$element$scrollL = _this$element.scrollLeft, scrollLeft = _this$element$scrollL === void 0 ? 0 : _this$element$scrollL;
+        var _this$calculateNumIte = this.calculateNumItems(), numToleratedItems2 = _this$calculateNumIte.numToleratedItems;
+        var contentPos = this.getContentPosition();
+        var itemSize2 = this.itemSize;
+        var calculateFirst = /* @__PURE__ */ __name(function calculateFirst2() {
+          var _index = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : 0;
+          var _numT = arguments.length > 1 ? arguments[1] : void 0;
+          return _index <= _numT ? 0 : _index;
+        }, "calculateFirst");
+        var calculateCoord = /* @__PURE__ */ __name(function calculateCoord2(_first, _size, _cpos) {
+          return _first * _size + _cpos;
+        }, "calculateCoord");
+        var scrollTo3 = /* @__PURE__ */ __name(function scrollTo4() {
+          var left = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : 0;
+          var top = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : 0;
+          return _this.scrollTo({
+            left,
+            top,
+            behavior
+          });
+        }, "scrollTo");
+        var newFirst = both ? {
+          rows: 0,
+          cols: 0
+        } : 0;
+        var isRangeChanged = false, isScrollChanged = false;
+        if (both) {
+          newFirst = {
+            rows: calculateFirst(index2[0], numToleratedItems2[0]),
+            cols: calculateFirst(index2[1], numToleratedItems2[1])
+          };
+          scrollTo3(calculateCoord(newFirst.cols, itemSize2[1], contentPos.left), calculateCoord(newFirst.rows, itemSize2[0], contentPos.top));
+          isScrollChanged = this.lastScrollPos.top !== scrollTop2 || this.lastScrollPos.left !== scrollLeft;
+          isRangeChanged = newFirst.rows !== first.rows || newFirst.cols !== first.cols;
+        } else {
+          newFirst = calculateFirst(index2, numToleratedItems2);
+          horizontal3 ? scrollTo3(calculateCoord(newFirst, itemSize2, contentPos.left), scrollTop2) : scrollTo3(scrollLeft, calculateCoord(newFirst, itemSize2, contentPos.top));
+          isScrollChanged = this.lastScrollPos !== (horizontal3 ? scrollLeft : scrollTop2);
+          isRangeChanged = newFirst !== first;
+        }
+        this.isRangeChanged = isRangeChanged;
+        isScrollChanged && (this.first = newFirst);
+      }
+    }, "scrollToIndex"),
+    scrollInView: /* @__PURE__ */ __name(function scrollInView2(index2, to) {
+      var _this2 = this;
+      var behavior = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : "auto";
+      if (to) {
+        var both = this.isBoth();
+        var horizontal3 = this.isHorizontal();
+        var valid = both ? index2.every(function(i2) {
+          return i2 > -1;
+        }) : index2 > -1;
+        if (valid) {
+          var _this$getRenderedRang = this.getRenderedRange(), first = _this$getRenderedRang.first, viewport = _this$getRenderedRang.viewport;
+          var scrollTo3 = /* @__PURE__ */ __name(function scrollTo4() {
+            var left = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : 0;
+            var top = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : 0;
+            return _this2.scrollTo({
+              left,
+              top,
+              behavior
+            });
+          }, "scrollTo");
+          var isToStart = to === "to-start";
+          var isToEnd = to === "to-end";
+          if (isToStart) {
+            if (both) {
+              if (viewport.first.rows - first.rows > index2[0]) {
+                scrollTo3(viewport.first.cols * this.itemSize[1], (viewport.first.rows - 1) * this.itemSize[0]);
+              } else if (viewport.first.cols - first.cols > index2[1]) {
+                scrollTo3((viewport.first.cols - 1) * this.itemSize[1], viewport.first.rows * this.itemSize[0]);
+              }
+            } else {
+              if (viewport.first - first > index2) {
+                var pos2 = (viewport.first - 1) * this.itemSize;
+                horizontal3 ? scrollTo3(pos2, 0) : scrollTo3(0, pos2);
+              }
+            }
+          } else if (isToEnd) {
+            if (both) {
+              if (viewport.last.rows - first.rows <= index2[0] + 1) {
+                scrollTo3(viewport.first.cols * this.itemSize[1], (viewport.first.rows + 1) * this.itemSize[0]);
+              } else if (viewport.last.cols - first.cols <= index2[1] + 1) {
+                scrollTo3((viewport.first.cols + 1) * this.itemSize[1], viewport.first.rows * this.itemSize[0]);
+              }
+            } else {
+              if (viewport.last - first <= index2 + 1) {
+                var _pos2 = (viewport.first + 1) * this.itemSize;
+                horizontal3 ? scrollTo3(_pos2, 0) : scrollTo3(0, _pos2);
+              }
+            }
+          }
+        }
+      } else {
+        this.scrollToIndex(index2, behavior);
+      }
+    }, "scrollInView"),
+    getRenderedRange: /* @__PURE__ */ __name(function getRenderedRange() {
+      var calculateFirstInViewport = /* @__PURE__ */ __name(function calculateFirstInViewport2(_pos, _size) {
+        return Math.floor(_pos / (_size || _pos));
+      }, "calculateFirstInViewport");
+      var firstInViewport = this.first;
+      var lastInViewport = 0;
+      if (this.element) {
+        var both = this.isBoth();
+        var horizontal3 = this.isHorizontal();
+        var _this$element2 = this.element, scrollTop2 = _this$element2.scrollTop, scrollLeft = _this$element2.scrollLeft;
+        if (both) {
+          firstInViewport = {
+            rows: calculateFirstInViewport(scrollTop2, this.itemSize[0]),
+            cols: calculateFirstInViewport(scrollLeft, this.itemSize[1])
+          };
+          lastInViewport = {
+            rows: firstInViewport.rows + this.numItemsInViewport.rows,
+            cols: firstInViewport.cols + this.numItemsInViewport.cols
+          };
+        } else {
+          var scrollPos = horizontal3 ? scrollLeft : scrollTop2;
+          firstInViewport = calculateFirstInViewport(scrollPos, this.itemSize);
+          lastInViewport = firstInViewport + this.numItemsInViewport;
+        }
+      }
+      return {
+        first: this.first,
+        last: this.last,
+        viewport: {
+          first: firstInViewport,
+          last: lastInViewport
+        }
+      };
+    }, "getRenderedRange"),
+    calculateNumItems: /* @__PURE__ */ __name(function calculateNumItems() {
+      var both = this.isBoth();
+      var horizontal3 = this.isHorizontal();
+      var itemSize2 = this.itemSize;
+      var contentPos = this.getContentPosition();
+      var contentWidth = this.element ? this.element.offsetWidth - contentPos.left : 0;
+      var contentHeight = this.element ? this.element.offsetHeight - contentPos.top : 0;
+      var calculateNumItemsInViewport = /* @__PURE__ */ __name(function calculateNumItemsInViewport2(_contentSize, _itemSize) {
+        return Math.ceil(_contentSize / (_itemSize || _contentSize));
+      }, "calculateNumItemsInViewport");
+      var calculateNumToleratedItems = /* @__PURE__ */ __name(function calculateNumToleratedItems2(_numItems) {
+        return Math.ceil(_numItems / 2);
+      }, "calculateNumToleratedItems");
+      var numItemsInViewport = both ? {
+        rows: calculateNumItemsInViewport(contentHeight, itemSize2[0]),
+        cols: calculateNumItemsInViewport(contentWidth, itemSize2[1])
+      } : calculateNumItemsInViewport(horizontal3 ? contentWidth : contentHeight, itemSize2);
+      var numToleratedItems2 = this.d_numToleratedItems || (both ? [calculateNumToleratedItems(numItemsInViewport.rows), calculateNumToleratedItems(numItemsInViewport.cols)] : calculateNumToleratedItems(numItemsInViewport));
+      return {
+        numItemsInViewport,
+        numToleratedItems: numToleratedItems2
+      };
+    }, "calculateNumItems"),
+    calculateOptions: /* @__PURE__ */ __name(function calculateOptions() {
+      var _this3 = this;
+      var both = this.isBoth();
+      var first = this.first;
+      var _this$calculateNumIte2 = this.calculateNumItems(), numItemsInViewport = _this$calculateNumIte2.numItemsInViewport, numToleratedItems2 = _this$calculateNumIte2.numToleratedItems;
+      var calculateLast = /* @__PURE__ */ __name(function calculateLast2(_first, _num, _numT) {
+        var _isCols = arguments.length > 3 && arguments[3] !== void 0 ? arguments[3] : false;
+        return _this3.getLast(_first + _num + (_first < _numT ? 2 : 3) * _numT, _isCols);
+      }, "calculateLast");
+      var last = both ? {
+        rows: calculateLast(first.rows, numItemsInViewport.rows, numToleratedItems2[0]),
+        cols: calculateLast(first.cols, numItemsInViewport.cols, numToleratedItems2[1], true)
+      } : calculateLast(first, numItemsInViewport, numToleratedItems2);
+      this.last = last;
+      this.numItemsInViewport = numItemsInViewport;
+      this.d_numToleratedItems = numToleratedItems2;
+      this.$emit("update:numToleratedItems", this.d_numToleratedItems);
+      if (this.showLoader) {
+        this.loaderArr = both ? Array.from({
+          length: numItemsInViewport.rows
+        }).map(function() {
+          return Array.from({
+            length: numItemsInViewport.cols
+          });
+        }) : Array.from({
+          length: numItemsInViewport
+        });
+      }
+      if (this.lazy) {
+        Promise.resolve().then(function() {
+          var _this3$items;
+          _this3.lazyLoadState = {
+            first: _this3.step ? both ? {
+              rows: 0,
+              cols: first.cols
+            } : 0 : first,
+            last: Math.min(_this3.step ? _this3.step : last, ((_this3$items = _this3.items) === null || _this3$items === void 0 ? void 0 : _this3$items.length) || 0)
+          };
+          _this3.$emit("lazy-load", _this3.lazyLoadState);
+        });
+      }
+    }, "calculateOptions"),
+    calculateAutoSize: /* @__PURE__ */ __name(function calculateAutoSize() {
+      var _this4 = this;
+      if (this.autoSize && !this.d_loading) {
+        Promise.resolve().then(function() {
+          if (_this4.content) {
+            var both = _this4.isBoth();
+            var horizontal3 = _this4.isHorizontal();
+            var vertical2 = _this4.isVertical();
+            _this4.content.style.minHeight = _this4.content.style.minWidth = "auto";
+            _this4.content.style.position = "relative";
+            _this4.element.style.contain = "none";
+            var _ref = [getWidth(_this4.element), getHeight(_this4.element)], width2 = _ref[0], height = _ref[1];
+            (both || horizontal3) && (_this4.element.style.width = width2 < _this4.defaultWidth ? width2 + "px" : _this4.scrollWidth || _this4.defaultWidth + "px");
+            (both || vertical2) && (_this4.element.style.height = height < _this4.defaultHeight ? height + "px" : _this4.scrollHeight || _this4.defaultHeight + "px");
+            _this4.content.style.minHeight = _this4.content.style.minWidth = "";
+            _this4.content.style.position = "";
+            _this4.element.style.contain = "";
+          }
+        });
+      }
+    }, "calculateAutoSize"),
+    getLast: /* @__PURE__ */ __name(function getLast() {
+      var _ref2, _this$items;
+      var last = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : 0;
+      var isCols = arguments.length > 1 ? arguments[1] : void 0;
+      return this.items ? Math.min(isCols ? ((_ref2 = this.columns || this.items[0]) === null || _ref2 === void 0 ? void 0 : _ref2.length) || 0 : ((_this$items = this.items) === null || _this$items === void 0 ? void 0 : _this$items.length) || 0, last) : 0;
+    }, "getLast"),
+    getContentPosition: /* @__PURE__ */ __name(function getContentPosition() {
+      if (this.content) {
+        var style = getComputedStyle(this.content);
+        var left = parseFloat(style.paddingLeft) + Math.max(parseFloat(style.left) || 0, 0);
+        var right = parseFloat(style.paddingRight) + Math.max(parseFloat(style.right) || 0, 0);
+        var top = parseFloat(style.paddingTop) + Math.max(parseFloat(style.top) || 0, 0);
+        var bottom = parseFloat(style.paddingBottom) + Math.max(parseFloat(style.bottom) || 0, 0);
+        return {
+          left,
+          right,
+          top,
+          bottom,
+          x: left + right,
+          y: top + bottom
+        };
+      }
+      return {
+        left: 0,
+        right: 0,
+        top: 0,
+        bottom: 0,
+        x: 0,
+        y: 0
+      };
+    }, "getContentPosition"),
+    setSize: /* @__PURE__ */ __name(function setSize() {
+      var _this5 = this;
+      if (this.element) {
+        var both = this.isBoth();
+        var horizontal3 = this.isHorizontal();
+        var parentElement = this.element.parentElement;
+        var width2 = this.scrollWidth || "".concat(this.element.offsetWidth || parentElement.offsetWidth, "px");
+        var height = this.scrollHeight || "".concat(this.element.offsetHeight || parentElement.offsetHeight, "px");
+        var setProp = /* @__PURE__ */ __name(function setProp2(_name, _value) {
+          return _this5.element.style[_name] = _value;
+        }, "setProp");
+        if (both || horizontal3) {
+          setProp("height", height);
+          setProp("width", width2);
+        } else {
+          setProp("height", height);
+        }
+      }
+    }, "setSize"),
+    setSpacerSize: /* @__PURE__ */ __name(function setSpacerSize() {
+      var _this6 = this;
+      var items2 = this.items;
+      if (items2) {
+        var both = this.isBoth();
+        var horizontal3 = this.isHorizontal();
+        var contentPos = this.getContentPosition();
+        var setProp = /* @__PURE__ */ __name(function setProp2(_name, _value, _size) {
+          var _cpos = arguments.length > 3 && arguments[3] !== void 0 ? arguments[3] : 0;
+          return _this6.spacerStyle = _objectSpread$c(_objectSpread$c({}, _this6.spacerStyle), _defineProperty$c({}, "".concat(_name), (_value || []).length * _size + _cpos + "px"));
+        }, "setProp");
+        if (both) {
+          setProp("height", items2, this.itemSize[0], contentPos.y);
+          setProp("width", this.columns || items2[1], this.itemSize[1], contentPos.x);
+        } else {
+          horizontal3 ? setProp("width", this.columns || items2, this.itemSize, contentPos.x) : setProp("height", items2, this.itemSize, contentPos.y);
+        }
+      }
+    }, "setSpacerSize"),
+    setContentPosition: /* @__PURE__ */ __name(function setContentPosition(pos2) {
+      var _this7 = this;
+      if (this.content && !this.appendOnly) {
+        var both = this.isBoth();
+        var horizontal3 = this.isHorizontal();
+        var first = pos2 ? pos2.first : this.first;
+        var calculateTranslateVal = /* @__PURE__ */ __name(function calculateTranslateVal2(_first, _size) {
+          return _first * _size;
+        }, "calculateTranslateVal");
+        var setTransform = /* @__PURE__ */ __name(function setTransform2() {
+          var _x = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : 0;
+          var _y = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : 0;
+          return _this7.contentStyle = _objectSpread$c(_objectSpread$c({}, _this7.contentStyle), {
+            transform: "translate3d(".concat(_x, "px, ").concat(_y, "px, 0)")
+          });
+        }, "setTransform");
+        if (both) {
+          setTransform(calculateTranslateVal(first.cols, this.itemSize[1]), calculateTranslateVal(first.rows, this.itemSize[0]));
+        } else {
+          var translateVal = calculateTranslateVal(first, this.itemSize);
+          horizontal3 ? setTransform(translateVal, 0) : setTransform(0, translateVal);
+        }
+      }
+    }, "setContentPosition"),
+    onScrollPositionChange: /* @__PURE__ */ __name(function onScrollPositionChange(event2) {
+      var _this8 = this;
+      var target = event2.target;
+      var both = this.isBoth();
+      var horizontal3 = this.isHorizontal();
+      var contentPos = this.getContentPosition();
+      var calculateScrollPos = /* @__PURE__ */ __name(function calculateScrollPos2(_pos, _cpos) {
+        return _pos ? _pos > _cpos ? _pos - _cpos : _pos : 0;
+      }, "calculateScrollPos");
+      var calculateCurrentIndex = /* @__PURE__ */ __name(function calculateCurrentIndex2(_pos, _size) {
+        return Math.floor(_pos / (_size || _pos));
+      }, "calculateCurrentIndex");
+      var calculateTriggerIndex = /* @__PURE__ */ __name(function calculateTriggerIndex2(_currentIndex, _first, _last, _num, _numT, _isScrollDownOrRight) {
+        return _currentIndex <= _numT ? _numT : _isScrollDownOrRight ? _last - _num - _numT : _first + _numT - 1;
+      }, "calculateTriggerIndex");
+      var calculateFirst = /* @__PURE__ */ __name(function calculateFirst2(_currentIndex, _triggerIndex, _first, _last, _num, _numT, _isScrollDownOrRight) {
+        if (_currentIndex <= _numT) return 0;
+        else return Math.max(0, _isScrollDownOrRight ? _currentIndex < _triggerIndex ? _first : _currentIndex - _numT : _currentIndex > _triggerIndex ? _first : _currentIndex - 2 * _numT);
+      }, "calculateFirst");
+      var calculateLast = /* @__PURE__ */ __name(function calculateLast2(_currentIndex, _first, _last, _num, _numT, _isCols) {
+        var lastValue = _first + _num + 2 * _numT;
+        if (_currentIndex >= _numT) {
+          lastValue += _numT + 1;
+        }
+        return _this8.getLast(lastValue, _isCols);
+      }, "calculateLast");
+      var scrollTop2 = calculateScrollPos(target.scrollTop, contentPos.top);
+      var scrollLeft = calculateScrollPos(target.scrollLeft, contentPos.left);
+      var newFirst = both ? {
+        rows: 0,
+        cols: 0
+      } : 0;
+      var newLast = this.last;
+      var isRangeChanged = false;
+      var newScrollPos = this.lastScrollPos;
+      if (both) {
+        var isScrollDown = this.lastScrollPos.top <= scrollTop2;
+        var isScrollRight = this.lastScrollPos.left <= scrollLeft;
+        if (!this.appendOnly || this.appendOnly && (isScrollDown || isScrollRight)) {
+          var currentIndex = {
+            rows: calculateCurrentIndex(scrollTop2, this.itemSize[0]),
+            cols: calculateCurrentIndex(scrollLeft, this.itemSize[1])
+          };
+          var triggerIndex = {
+            rows: calculateTriggerIndex(currentIndex.rows, this.first.rows, this.last.rows, this.numItemsInViewport.rows, this.d_numToleratedItems[0], isScrollDown),
+            cols: calculateTriggerIndex(currentIndex.cols, this.first.cols, this.last.cols, this.numItemsInViewport.cols, this.d_numToleratedItems[1], isScrollRight)
+          };
+          newFirst = {
+            rows: calculateFirst(currentIndex.rows, triggerIndex.rows, this.first.rows, this.last.rows, this.numItemsInViewport.rows, this.d_numToleratedItems[0], isScrollDown),
+            cols: calculateFirst(currentIndex.cols, triggerIndex.cols, this.first.cols, this.last.cols, this.numItemsInViewport.cols, this.d_numToleratedItems[1], isScrollRight)
+          };
+          newLast = {
+            rows: calculateLast(currentIndex.rows, newFirst.rows, this.last.rows, this.numItemsInViewport.rows, this.d_numToleratedItems[0]),
+            cols: calculateLast(currentIndex.cols, newFirst.cols, this.last.cols, this.numItemsInViewport.cols, this.d_numToleratedItems[1], true)
+          };
+          isRangeChanged = newFirst.rows !== this.first.rows || newLast.rows !== this.last.rows || newFirst.cols !== this.first.cols || newLast.cols !== this.last.cols || this.isRangeChanged;
+          newScrollPos = {
+            top: scrollTop2,
+            left: scrollLeft
+          };
+        }
+      } else {
+        var scrollPos = horizontal3 ? scrollLeft : scrollTop2;
+        var isScrollDownOrRight = this.lastScrollPos <= scrollPos;
+        if (!this.appendOnly || this.appendOnly && isScrollDownOrRight) {
+          var _currentIndex2 = calculateCurrentIndex(scrollPos, this.itemSize);
+          var _triggerIndex2 = calculateTriggerIndex(_currentIndex2, this.first, this.last, this.numItemsInViewport, this.d_numToleratedItems, isScrollDownOrRight);
+          newFirst = calculateFirst(_currentIndex2, _triggerIndex2, this.first, this.last, this.numItemsInViewport, this.d_numToleratedItems, isScrollDownOrRight);
+          newLast = calculateLast(_currentIndex2, newFirst, this.last, this.numItemsInViewport, this.d_numToleratedItems);
+          isRangeChanged = newFirst !== this.first || newLast !== this.last || this.isRangeChanged;
+          newScrollPos = scrollPos;
+        }
+      }
+      return {
+        first: newFirst,
+        last: newLast,
+        isRangeChanged,
+        scrollPos: newScrollPos
+      };
+    }, "onScrollPositionChange"),
+    onScrollChange: /* @__PURE__ */ __name(function onScrollChange(event2) {
+      var _this$onScrollPositio = this.onScrollPositionChange(event2), first = _this$onScrollPositio.first, last = _this$onScrollPositio.last, isRangeChanged = _this$onScrollPositio.isRangeChanged, scrollPos = _this$onScrollPositio.scrollPos;
+      if (isRangeChanged) {
+        var newState = {
+          first,
+          last
+        };
+        this.setContentPosition(newState);
+        this.first = first;
+        this.last = last;
+        this.lastScrollPos = scrollPos;
+        this.$emit("scroll-index-change", newState);
+        if (this.lazy && this.isPageChanged(first)) {
+          var _this$items2, _this$items3;
+          var lazyLoadState = {
+            first: this.step ? Math.min(this.getPageByFirst(first) * this.step, (((_this$items2 = this.items) === null || _this$items2 === void 0 ? void 0 : _this$items2.length) || 0) - this.step) : first,
+            last: Math.min(this.step ? (this.getPageByFirst(first) + 1) * this.step : last, ((_this$items3 = this.items) === null || _this$items3 === void 0 ? void 0 : _this$items3.length) || 0)
+          };
+          var isLazyStateChanged = this.lazyLoadState.first !== lazyLoadState.first || this.lazyLoadState.last !== lazyLoadState.last;
+          isLazyStateChanged && this.$emit("lazy-load", lazyLoadState);
+          this.lazyLoadState = lazyLoadState;
+        }
+      }
+    }, "onScrollChange"),
+    onScroll: /* @__PURE__ */ __name(function onScroll(event2) {
+      var _this9 = this;
+      this.$emit("scroll", event2);
+      if (this.delay) {
+        if (this.scrollTimeout) {
+          clearTimeout(this.scrollTimeout);
+        }
+        if (this.isPageChanged()) {
+          if (!this.d_loading && this.showLoader) {
+            var _this$onScrollPositio2 = this.onScrollPositionChange(event2), isRangeChanged = _this$onScrollPositio2.isRangeChanged;
+            var changed = isRangeChanged || (this.step ? this.isPageChanged() : false);
+            changed && (this.d_loading = true);
+          }
+          this.scrollTimeout = setTimeout(function() {
+            _this9.onScrollChange(event2);
+            if (_this9.d_loading && _this9.showLoader && (!_this9.lazy || _this9.loading === void 0)) {
+              _this9.d_loading = false;
+              _this9.page = _this9.getPageByFirst();
+            }
+          }, this.delay);
+        }
+      } else {
+        this.onScrollChange(event2);
+      }
+    }, "onScroll"),
+    onResize: /* @__PURE__ */ __name(function onResize() {
+      var _this10 = this;
+      if (this.resizeTimeout) {
+        clearTimeout(this.resizeTimeout);
+      }
+      this.resizeTimeout = setTimeout(function() {
+        if (isVisible(_this10.element)) {
+          var both = _this10.isBoth();
+          var vertical2 = _this10.isVertical();
+          var horizontal3 = _this10.isHorizontal();
+          var _ref3 = [getWidth(_this10.element), getHeight(_this10.element)], width2 = _ref3[0], height = _ref3[1];
+          var isDiffWidth = width2 !== _this10.defaultWidth, isDiffHeight = height !== _this10.defaultHeight;
+          var reinit = both ? isDiffWidth || isDiffHeight : horizontal3 ? isDiffWidth : vertical2 ? isDiffHeight : false;
+          if (reinit) {
+            _this10.d_numToleratedItems = _this10.numToleratedItems;
+            _this10.defaultWidth = width2;
+            _this10.defaultHeight = height;
+            _this10.defaultContentWidth = getWidth(_this10.content);
+            _this10.defaultContentHeight = getHeight(_this10.content);
+            _this10.init();
+          }
+        }
+      }, this.resizeDelay);
+    }, "onResize"),
+    bindResizeListener: /* @__PURE__ */ __name(function bindResizeListener() {
+      if (!this.resizeListener) {
+        this.resizeListener = this.onResize.bind(this);
+        window.addEventListener("resize", this.resizeListener);
+        window.addEventListener("orientationchange", this.resizeListener);
+      }
+    }, "bindResizeListener"),
+    unbindResizeListener: /* @__PURE__ */ __name(function unbindResizeListener() {
+      if (this.resizeListener) {
+        window.removeEventListener("resize", this.resizeListener);
+        window.removeEventListener("orientationchange", this.resizeListener);
+        this.resizeListener = null;
+      }
+    }, "unbindResizeListener"),
+    getOptions: /* @__PURE__ */ __name(function getOptions2(renderedIndex) {
+      var count = (this.items || []).length;
+      var index2 = this.isBoth() ? this.first.rows + renderedIndex : this.first + renderedIndex;
+      return {
+        index: index2,
+        count,
+        first: index2 === 0,
+        last: index2 === count - 1,
+        even: index2 % 2 === 0,
+        odd: index2 % 2 !== 0
+      };
+    }, "getOptions"),
+    getLoaderOptions: /* @__PURE__ */ __name(function getLoaderOptions(index2, extOptions) {
+      var count = this.loaderArr.length;
+      return _objectSpread$c({
+        index: index2,
+        count,
+        first: index2 === 0,
+        last: index2 === count - 1,
+        even: index2 % 2 === 0,
+        odd: index2 % 2 !== 0
+      }, extOptions);
+    }, "getLoaderOptions"),
+    getPageByFirst: /* @__PURE__ */ __name(function getPageByFirst(first) {
+      return Math.floor(((first !== null && first !== void 0 ? first : this.first) + this.d_numToleratedItems * 4) / (this.step || 1));
+    }, "getPageByFirst"),
+    isPageChanged: /* @__PURE__ */ __name(function isPageChanged(first) {
+      return this.step ? this.page !== this.getPageByFirst(first !== null && first !== void 0 ? first : this.first) : true;
+    }, "isPageChanged"),
+    setContentEl: /* @__PURE__ */ __name(function setContentEl(el) {
+      this.content = el || this.content || findSingle(this.element, '[data-pc-section="content"]');
+    }, "setContentEl"),
+    elementRef: /* @__PURE__ */ __name(function elementRef(el) {
+      this.element = el;
+    }, "elementRef"),
+    contentRef: /* @__PURE__ */ __name(function contentRef(el) {
+      this.content = el;
+    }, "contentRef")
+  },
+  computed: {
+    containerClass: /* @__PURE__ */ __name(function containerClass2() {
+      return ["p-virtualscroller", this["class"], {
+        "p-virtualscroller-inline": this.inline,
+        "p-virtualscroller-both p-both-scroll": this.isBoth(),
+        "p-virtualscroller-horizontal p-horizontal-scroll": this.isHorizontal()
+      }];
+    }, "containerClass"),
+    contentClass: /* @__PURE__ */ __name(function contentClass() {
+      return ["p-virtualscroller-content", {
+        "p-virtualscroller-loading": this.d_loading
+      }];
+    }, "contentClass"),
+    loaderClass: /* @__PURE__ */ __name(function loaderClass() {
+      return ["p-virtualscroller-loader", {
+        "p-virtualscroller-loader-mask": !this.$slots.loader
+      }];
+    }, "loaderClass"),
+    loadedItems: /* @__PURE__ */ __name(function loadedItems() {
+      var _this11 = this;
+      if (this.items && !this.d_loading) {
+        if (this.isBoth()) return this.items.slice(this.appendOnly ? 0 : this.first.rows, this.last.rows).map(function(item2) {
+          return _this11.columns ? item2 : item2.slice(_this11.appendOnly ? 0 : _this11.first.cols, _this11.last.cols);
+        });
+        else if (this.isHorizontal() && this.columns) return this.items;
+        else return this.items.slice(this.appendOnly ? 0 : this.first, this.last);
+      }
+      return [];
+    }, "loadedItems"),
+    loadedRows: /* @__PURE__ */ __name(function loadedRows() {
+      return this.d_loading ? this.loaderDisabled ? this.loaderArr : [] : this.loadedItems;
+    }, "loadedRows"),
+    loadedColumns: /* @__PURE__ */ __name(function loadedColumns() {
+      if (this.columns) {
+        var both = this.isBoth();
+        var horizontal3 = this.isHorizontal();
+        if (both || horizontal3) {
+          return this.d_loading && this.loaderDisabled ? both ? this.loaderArr[0] : this.loaderArr : this.columns.slice(both ? this.first.cols : this.first, both ? this.last.cols : this.last);
+        }
+      }
+      return this.columns;
+    }, "loadedColumns")
+  },
+  components: {
+    SpinnerIcon: script$N
+  }
+};
+var _hoisted_1$Y = ["tabindex"];
+function render$L(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_SpinnerIcon = resolveComponent("SpinnerIcon");
+  return !_ctx.disabled ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 0,
+    ref: $options.elementRef,
+    "class": $options.containerClass,
+    tabindex: _ctx.tabindex,
+    style: _ctx.style,
+    onScroll: _cache[0] || (_cache[0] = function() {
+      return $options.onScroll && $options.onScroll.apply($options, arguments);
+    })
+  }, _ctx.ptmi("root")), [renderSlot(_ctx.$slots, "content", {
+    styleClass: $options.contentClass,
+    items: $options.loadedItems,
+    getItemOptions: $options.getOptions,
+    loading: $data.d_loading,
+    getLoaderOptions: $options.getLoaderOptions,
+    itemSize: _ctx.itemSize,
+    rows: $options.loadedRows,
+    columns: $options.loadedColumns,
+    contentRef: $options.contentRef,
+    spacerStyle: $data.spacerStyle,
+    contentStyle: $data.contentStyle,
+    vertical: $options.isVertical(),
+    horizontal: $options.isHorizontal(),
+    both: $options.isBoth()
+  }, function() {
+    return [createBaseVNode("div", mergeProps({
+      ref: $options.contentRef,
+      "class": $options.contentClass,
+      style: $data.contentStyle
+    }, _ctx.ptm("content")), [(openBlock(true), createElementBlock(Fragment, null, renderList($options.loadedItems, function(item2, index2) {
+      return renderSlot(_ctx.$slots, "item", {
+        key: index2,
+        item: item2,
+        options: $options.getOptions(index2)
+      });
+    }), 128))], 16)];
+  }), _ctx.showSpacer ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 0,
+    "class": "p-virtualscroller-spacer",
+    style: $data.spacerStyle
+  }, _ctx.ptm("spacer")), null, 16)) : createCommentVNode("", true), !_ctx.loaderDisabled && _ctx.showLoader && $data.d_loading ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 1,
+    "class": $options.loaderClass
+  }, _ctx.ptm("loader")), [_ctx.$slots && _ctx.$slots.loader ? (openBlock(true), createElementBlock(Fragment, {
+    key: 0
+  }, renderList($data.loaderArr, function(_2, index2) {
+    return renderSlot(_ctx.$slots, "loader", {
+      key: index2,
+      options: $options.getLoaderOptions(index2, $options.isBoth() && {
+        numCols: _ctx.d_numItemsInViewport.cols
+      })
+    });
+  }), 128)) : createCommentVNode("", true), renderSlot(_ctx.$slots, "loadingicon", {}, function() {
+    return [createVNode(_component_SpinnerIcon, mergeProps({
+      spin: "",
+      "class": "p-virtualscroller-loading-icon"
+    }, _ctx.ptm("loadingIcon")), null, 16)];
+  })], 16)) : createCommentVNode("", true)], 16, _hoisted_1$Y)) : (openBlock(), createElementBlock(Fragment, {
+    key: 1
+  }, [renderSlot(_ctx.$slots, "default"), renderSlot(_ctx.$slots, "content", {
+    items: _ctx.items,
+    rows: _ctx.items,
+    columns: $options.loadedColumns
+  })], 64));
+}
+__name(render$L, "render$L");
+script$M.render = render$L;
+var theme$r = /* @__PURE__ */ __name(function theme10(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-listbox {\n    background: ".concat(dt3("listbox.background"), ";\n    color: ").concat(dt3("listbox.color"), ";\n    border: 1px solid ").concat(dt3("listbox.border.color"), ";\n    border-radius: ").concat(dt3("listbox.border.radius"), ";\n    transition: background ").concat(dt3("listbox.transition.duration"), ", color ").concat(dt3("listbox.transition.duration"), ", border-color ").concat(dt3("listbox.transition.duration"), ",\n            box-shadow ").concat(dt3("listbox.transition.duration"), ", outline-color ").concat(dt3("listbox.transition.duration"), ";\n    outline-color: transparent;\n    box-shadow: ").concat(dt3("listbox.shadow"), ";\n}\n\n.p-listbox.p-focus {\n    border-color: ").concat(dt3("listbox.focus.border.color"), ";\n    box-shadow: ").concat(dt3("listbox.focus.ring.shadow"), ";\n    outline: ").concat(dt3("listbox.focus.ring.width"), " ").concat(dt3("listbox.focus.ring.style"), " ").concat(dt3("listbox.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("listbox.focus.ring.offset"), ";\n}\n\n.p-listbox.p-disabled {\n    opacity: 1;\n    background: ").concat(dt3("listbox.disabled.background"), ";\n    color: ").concat(dt3("listbox.disabled.color"), ";\n}\n\n.p-listbox.p-disabled .p-listbox-option {\n    color: ").concat(dt3("listbox.disabled.color"), ";\n}\n\n.p-listbox.p-invalid {\n    border-color: ").concat(dt3("listbox.invalid.border.color"), ";\n}\n\n.p-listbox-header {\n    padding: ").concat(dt3("listbox.list.header.padding"), ";\n}\n\n.p-listbox-filter {\n    width: 100%;\n}\n\n.p-listbox-list-container {\n    overflow: auto;\n}\n\n.p-listbox-list {\n    list-style-type: none;\n    margin: 0;\n    padding: ").concat(dt3("listbox.list.padding"), ";\n    outline: 0 none;\n    display: flex;\n    flex-direction: column;\n    gap: ").concat(dt3("listbox.list.gap"), ";\n}\n\n.p-listbox-option {\n    display: flex;\n    align-items: center;\n    cursor: pointer;\n    position: relative;\n    overflow: hidden;\n    padding: ").concat(dt3("listbox.option.padding"), ";\n    border: 0 none;\n    border-radius: ").concat(dt3("listbox.option.border.radius"), ";\n    color: ").concat(dt3("listbox.option.color"), ";\n    transition: background ").concat(dt3("listbox.transition.duration"), ", color ").concat(dt3("listbox.transition.duration"), ", border-color ").concat(dt3("listbox.transition.duration"), ",\n            box-shadow ").concat(dt3("listbox.transition.duration"), ", outline-color ").concat(dt3("listbox.transition.duration"), ";\n}\n\n.p-listbox-striped li:nth-child(even of .p-listbox-option) {\n    background: ").concat(dt3("listbox.option.striped.background"), ";\n}\n\n.p-listbox .p-listbox-list .p-listbox-option.p-listbox-option-selected {\n    background: ").concat(dt3("listbox.option.selected.background"), ";\n    color: ").concat(dt3("listbox.option.selected.color"), ";\n}\n\n.p-listbox:not(.p-disabled) .p-listbox-option.p-listbox-option-selected.p-focus {\n    background: ").concat(dt3("listbox.option.selected.focus.background"), ";\n    color: ").concat(dt3("listbox.option.selected.focus.color"), ";\n}\n\n.p-listbox:not(.p-disabled) .p-listbox-option:not(.p-listbox-option-selected):not(.p-disabled).p-focus {\n    background: ").concat(dt3("listbox.option.focus.background"), ";\n    color: ").concat(dt3("listbox.option.focus.color"), ";\n}\n\n.p-listbox:not(.p-disabled) .p-listbox-option:not(.p-listbox-option-selected):not(.p-disabled):hover {\n    background: ").concat(dt3("listbox.option.focus.background"), ";\n    color: ").concat(dt3("listbox.option.focus.color"), ";\n}\n\n.p-listbox-option-check-icon {\n    position: relative;\n    margin-inline-start: ").concat(dt3("listbox.checkmark.gutter.start"), ";\n    margin-inline-end: ").concat(dt3("listbox.checkmark.gutter.end"), ";\n    color: ").concat(dt3("listbox.checkmark.color"), ";\n}\n\n.p-listbox-option-group {\n    margin: 0;\n    padding: ").concat(dt3("listbox.option.group.padding"), ";\n    color: ").concat(dt3("listbox.option.group.color"), ";\n    background: ").concat(dt3("listbox.option.group.background"), ";\n    font-weight: ").concat(dt3("listbox.option.group.font.weight"), ";\n}\n\n.p-listbox-empty-message {\n    padding: ").concat(dt3("listbox.empty.message.padding"), ";\n}\n");
+}, "theme");
+var classes$u = {
+  root: /* @__PURE__ */ __name(function root2(_ref2) {
+    var props = _ref2.props;
+    return ["p-listbox p-component", {
+      "p-listbox-striped": props.striped,
+      "p-disabled": props.disabled,
+      "p-invalid": props.invalid
+    }];
+  }, "root"),
+  header: "p-listbox-header",
+  pcFilter: "p-listbox-filter",
+  listContainer: "p-listbox-list-container",
+  list: "p-listbox-list",
+  optionGroup: "p-listbox-option-group",
+  option: /* @__PURE__ */ __name(function option(_ref3) {
+    var instance = _ref3.instance, props = _ref3.props, _option = _ref3.option, index2 = _ref3.index, getItemOptions = _ref3.getItemOptions;
+    return ["p-listbox-option", {
+      "p-listbox-option-selected": instance.isSelected(_option) && props.highlightOnSelect,
+      "p-focus": instance.focusedOptionIndex === instance.getOptionIndex(index2, getItemOptions),
+      "p-disabled": instance.isOptionDisabled(_option)
+    }];
+  }, "option"),
+  optionCheckIcon: "p-listbox-option-check-icon",
+  optionBlankIcon: "p-listbox-option-blank-icon",
+  emptyMessage: "p-listbox-empty-message"
+};
+var ListboxStyle = BaseStyle.extend({
+  name: "listbox",
+  theme: theme$r,
+  classes: classes$u
+});
+var script$1$u = {
+  name: "BaseListbox",
+  "extends": script$X,
+  props: {
+    modelValue: null,
+    options: Array,
+    optionLabel: null,
+    optionValue: null,
+    optionDisabled: null,
+    optionGroupLabel: null,
+    optionGroupChildren: null,
+    listStyle: null,
+    scrollHeight: {
+      type: String,
+      "default": "14rem"
+    },
+    invalid: {
+      type: Boolean,
+      "default": false
+    },
+    disabled: {
+      type: Boolean,
+      "default": false
+    },
+    dataKey: null,
+    multiple: {
+      type: Boolean,
+      "default": false
+    },
+    metaKeySelection: {
+      type: Boolean,
+      "default": false
+    },
+    filter: Boolean,
+    filterPlaceholder: String,
+    filterLocale: String,
+    filterMatchMode: {
+      type: String,
+      "default": "contains"
+    },
+    filterFields: {
+      type: Array,
+      "default": null
+    },
+    virtualScrollerOptions: {
+      type: Object,
+      "default": null
+    },
+    autoOptionFocus: {
+      type: Boolean,
+      "default": true
+    },
+    selectOnFocus: {
+      type: Boolean,
+      "default": false
+    },
+    focusOnHover: {
+      type: Boolean,
+      "default": true
+    },
+    highlightOnSelect: {
+      type: Boolean,
+      "default": true
+    },
+    checkmark: {
+      type: Boolean,
+      "default": false
+    },
+    filterMessage: {
+      type: String,
+      "default": null
+    },
+    selectionMessage: {
+      type: String,
+      "default": null
+    },
+    emptySelectionMessage: {
+      type: String,
+      "default": null
+    },
+    emptyFilterMessage: {
+      type: String,
+      "default": null
+    },
+    emptyMessage: {
+      type: String,
+      "default": null
+    },
+    filterIcon: {
+      type: String,
+      "default": void 0
+    },
+    striped: {
+      type: Boolean,
+      "default": false
+    },
+    tabindex: {
+      type: Number,
+      "default": 0
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    },
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    }
+  },
+  style: ListboxStyle,
+  provide: /* @__PURE__ */ __name(function provide9() {
+    return {
+      $pcListbox: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+function _toConsumableArray$c(r) {
+  return _arrayWithoutHoles$c(r) || _iterableToArray$c(r) || _unsupportedIterableToArray$e(r) || _nonIterableSpread$c();
+}
+__name(_toConsumableArray$c, "_toConsumableArray$c");
+function _nonIterableSpread$c() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$c, "_nonIterableSpread$c");
+function _unsupportedIterableToArray$e(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$e(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$e(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$e, "_unsupportedIterableToArray$e");
+function _iterableToArray$c(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$c, "_iterableToArray$c");
+function _arrayWithoutHoles$c(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$e(r);
+}
+__name(_arrayWithoutHoles$c, "_arrayWithoutHoles$c");
+function _arrayLikeToArray$e(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$e, "_arrayLikeToArray$e");
+var script$L = {
+  name: "Listbox",
+  "extends": script$1$u,
+  inheritAttrs: false,
+  emits: ["update:modelValue", "change", "focus", "blur", "filter", "item-dblclick", "option-dblclick"],
+  list: null,
+  virtualScroller: null,
+  optionTouched: false,
+  startRangeIndex: -1,
+  searchTimeout: null,
+  searchValue: "",
+  data: /* @__PURE__ */ __name(function data3() {
+    return {
+      id: this.$attrs.id,
+      filterValue: null,
+      focused: false,
+      focusedOptionIndex: -1
+    };
+  }, "data"),
+  watch: {
+    "$attrs.id": /* @__PURE__ */ __name(function $attrsId(newValue) {
+      this.id = newValue || UniqueComponentId();
+    }, "$attrsId"),
+    options: /* @__PURE__ */ __name(function options() {
+      this.autoUpdateModel();
+    }, "options")
+  },
+  mounted: /* @__PURE__ */ __name(function mounted4() {
+    this.id = this.id || UniqueComponentId();
+    this.autoUpdateModel();
+  }, "mounted"),
+  methods: {
+    getOptionIndex: /* @__PURE__ */ __name(function getOptionIndex(index2, fn) {
+      return this.virtualScrollerDisabled ? index2 : fn && fn(index2)["index"];
+    }, "getOptionIndex"),
+    getOptionLabel: /* @__PURE__ */ __name(function getOptionLabel(option4) {
+      return this.optionLabel ? resolveFieldData(option4, this.optionLabel) : typeof option4 === "string" ? option4 : null;
+    }, "getOptionLabel"),
+    getOptionValue: /* @__PURE__ */ __name(function getOptionValue2(option4) {
+      return this.optionValue ? resolveFieldData(option4, this.optionValue) : option4;
+    }, "getOptionValue"),
+    getOptionRenderKey: /* @__PURE__ */ __name(function getOptionRenderKey(option4, index2) {
+      return (this.dataKey ? resolveFieldData(option4, this.dataKey) : this.getOptionLabel(option4)) + "_" + index2;
+    }, "getOptionRenderKey"),
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions2(option4, itemOptions, index2, key) {
+      return this.ptm(key, {
+        context: {
+          selected: this.isSelected(option4),
+          focused: this.focusedOptionIndex === this.getOptionIndex(index2, itemOptions),
+          disabled: this.isOptionDisabled(option4)
+        }
+      });
+    }, "getPTOptions"),
+    isOptionDisabled: /* @__PURE__ */ __name(function isOptionDisabled(option4) {
+      return this.optionDisabled ? resolveFieldData(option4, this.optionDisabled) : false;
+    }, "isOptionDisabled"),
+    isOptionGroup: /* @__PURE__ */ __name(function isOptionGroup(option4) {
+      return this.optionGroupLabel && option4.optionGroup && option4.group;
+    }, "isOptionGroup"),
+    getOptionGroupLabel: /* @__PURE__ */ __name(function getOptionGroupLabel(optionGroup) {
+      return resolveFieldData(optionGroup, this.optionGroupLabel);
+    }, "getOptionGroupLabel"),
+    getOptionGroupChildren: /* @__PURE__ */ __name(function getOptionGroupChildren(optionGroup) {
+      return resolveFieldData(optionGroup, this.optionGroupChildren);
+    }, "getOptionGroupChildren"),
+    getAriaPosInset: /* @__PURE__ */ __name(function getAriaPosInset(index2) {
+      var _this = this;
+      return (this.optionGroupLabel ? index2 - this.visibleOptions.slice(0, index2).filter(function(option4) {
+        return _this.isOptionGroup(option4);
+      }).length : index2) + 1;
+    }, "getAriaPosInset"),
+    onFirstHiddenFocus: /* @__PURE__ */ __name(function onFirstHiddenFocus() {
+      focus(this.list);
+      var firstFocusableEl = getFirstFocusableElement(this.$el, ':not([data-p-hidden-focusable="true"])');
+      this.$refs.lastHiddenFocusableElement.tabIndex = isElement(firstFocusableEl) ? void 0 : -1;
+      this.$refs.firstHiddenFocusableElement.tabIndex = -1;
+    }, "onFirstHiddenFocus"),
+    onLastHiddenFocus: /* @__PURE__ */ __name(function onLastHiddenFocus(event2) {
+      var relatedTarget = event2.relatedTarget;
+      if (relatedTarget === this.list) {
+        var firstFocusableEl = getFirstFocusableElement(this.$el, ':not([data-p-hidden-focusable="true"])');
+        focus(firstFocusableEl);
+        this.$refs.firstHiddenFocusableElement.tabIndex = void 0;
+      } else {
+        focus(this.$refs.firstHiddenFocusableElement);
+      }
+      this.$refs.lastHiddenFocusableElement.tabIndex = -1;
+    }, "onLastHiddenFocus"),
+    onFocusout: /* @__PURE__ */ __name(function onFocusout(event2) {
+      if (!this.$el.contains(event2.relatedTarget) && this.$refs.lastHiddenFocusableElement && this.$refs.firstHiddenFocusableElement) {
+        this.$refs.lastHiddenFocusableElement.tabIndex = this.$refs.firstHiddenFocusableElement.tabIndex = void 0;
+      }
+    }, "onFocusout"),
+    onListFocus: /* @__PURE__ */ __name(function onListFocus(event2) {
+      this.focused = true;
+      this.focusedOptionIndex = this.focusedOptionIndex !== -1 ? this.focusedOptionIndex : this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : this.findSelectedOptionIndex();
+      this.autoUpdateModel();
+      this.$emit("focus", event2);
+    }, "onListFocus"),
+    onListBlur: /* @__PURE__ */ __name(function onListBlur(event2) {
+      this.focused = false;
+      this.focusedOptionIndex = this.startRangeIndex = -1;
+      this.searchValue = "";
+      this.$emit("blur", event2);
+    }, "onListBlur"),
+    onListKeyDown: /* @__PURE__ */ __name(function onListKeyDown(event2) {
+      var _this2 = this;
+      var metaKey = event2.metaKey || event2.ctrlKey;
+      switch (event2.code) {
+        case "ArrowDown":
+          this.onArrowDownKey(event2);
+          break;
+        case "ArrowUp":
+          this.onArrowUpKey(event2);
+          break;
+        case "Home":
+          this.onHomeKey(event2);
+          break;
+        case "End":
+          this.onEndKey(event2);
+          break;
+        case "PageDown":
+          this.onPageDownKey(event2);
+          break;
+        case "PageUp":
+          this.onPageUpKey(event2);
+          break;
+        case "Enter":
+        case "NumpadEnter":
+        case "Space":
+          this.onSpaceKey(event2);
+          break;
+        case "Tab":
+          break;
+        case "ShiftLeft":
+        case "ShiftRight":
+          this.onShiftKey(event2);
+          break;
+        default:
+          if (this.multiple && event2.code === "KeyA" && metaKey) {
+            var value3 = this.visibleOptions.filter(function(option4) {
+              return _this2.isValidOption(option4);
+            }).map(function(option4) {
+              return _this2.getOptionValue(option4);
+            });
+            this.updateModel(event2, value3);
+            event2.preventDefault();
+            break;
+          }
+          if (!metaKey && isPrintableCharacter(event2.key)) {
+            this.searchOptions(event2, event2.key);
+            event2.preventDefault();
+          }
+          break;
+      }
+    }, "onListKeyDown"),
+    onOptionSelect: /* @__PURE__ */ __name(function onOptionSelect(event2, option4) {
+      var index2 = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : -1;
+      if (this.disabled || this.isOptionDisabled(option4)) {
+        return;
+      }
+      this.multiple ? this.onOptionSelectMultiple(event2, option4) : this.onOptionSelectSingle(event2, option4);
+      this.optionTouched = false;
+      index2 !== -1 && (this.focusedOptionIndex = index2);
+    }, "onOptionSelect"),
+    onOptionMouseDown: /* @__PURE__ */ __name(function onOptionMouseDown(event2, index2) {
+      this.changeFocusedOptionIndex(event2, index2);
+    }, "onOptionMouseDown"),
+    onOptionMouseMove: /* @__PURE__ */ __name(function onOptionMouseMove(event2, index2) {
+      if (this.focusOnHover && this.focused) {
+        this.changeFocusedOptionIndex(event2, index2);
+      }
+    }, "onOptionMouseMove"),
+    onOptionTouchEnd: /* @__PURE__ */ __name(function onOptionTouchEnd() {
+      if (this.disabled) {
+        return;
+      }
+      this.optionTouched = true;
+    }, "onOptionTouchEnd"),
+    onOptionDblClick: /* @__PURE__ */ __name(function onOptionDblClick(event2, item2) {
+      this.$emit("item-dblclick", {
+        originalEvent: event2,
+        value: item2
+      });
+      this.$emit("option-dblclick", {
+        originalEvent: event2,
+        value: item2
+      });
+    }, "onOptionDblClick"),
+    onOptionSelectSingle: /* @__PURE__ */ __name(function onOptionSelectSingle(event2, option4) {
+      var selected2 = this.isSelected(option4);
+      var valueChanged = false;
+      var value3 = null;
+      var metaSelection = this.optionTouched ? false : this.metaKeySelection;
+      if (metaSelection) {
+        var metaKey = event2 && (event2.metaKey || event2.ctrlKey);
+        if (selected2) {
+          if (metaKey) {
+            value3 = null;
+            valueChanged = true;
+          }
+        } else {
+          value3 = this.getOptionValue(option4);
+          valueChanged = true;
+        }
+      } else {
+        value3 = selected2 ? null : this.getOptionValue(option4);
+        valueChanged = true;
+      }
+      if (valueChanged) {
+        this.updateModel(event2, value3);
+      }
+    }, "onOptionSelectSingle"),
+    onOptionSelectMultiple: /* @__PURE__ */ __name(function onOptionSelectMultiple(event2, option4) {
+      var selected2 = this.isSelected(option4);
+      var value3 = null;
+      var metaSelection = this.optionTouched ? false : this.metaKeySelection;
+      if (metaSelection) {
+        var metaKey = event2.metaKey || event2.ctrlKey;
+        if (selected2) {
+          value3 = metaKey ? this.removeOption(option4) : [this.getOptionValue(option4)];
+        } else {
+          value3 = metaKey ? this.modelValue || [] : [];
+          value3 = [].concat(_toConsumableArray$c(value3), [this.getOptionValue(option4)]);
+        }
+      } else {
+        value3 = selected2 ? this.removeOption(option4) : [].concat(_toConsumableArray$c(this.modelValue || []), [this.getOptionValue(option4)]);
+      }
+      this.updateModel(event2, value3);
+    }, "onOptionSelectMultiple"),
+    onOptionSelectRange: /* @__PURE__ */ __name(function onOptionSelectRange(event2) {
+      var _this3 = this;
+      var start2 = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : -1;
+      var end = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : -1;
+      start2 === -1 && (start2 = this.findNearestSelectedOptionIndex(end, true));
+      end === -1 && (end = this.findNearestSelectedOptionIndex(start2));
+      if (start2 !== -1 && end !== -1) {
+        var rangeStart = Math.min(start2, end);
+        var rangeEnd = Math.max(start2, end);
+        var value3 = this.visibleOptions.slice(rangeStart, rangeEnd + 1).filter(function(option4) {
+          return _this3.isValidOption(option4);
+        }).map(function(option4) {
+          return _this3.getOptionValue(option4);
+        });
+        this.updateModel(event2, value3);
+      }
+    }, "onOptionSelectRange"),
+    onFilterChange: /* @__PURE__ */ __name(function onFilterChange(event2) {
+      this.$emit("filter", {
+        originalEvent: event2,
+        value: event2.target.value
+      });
+      this.focusedOptionIndex = this.startRangeIndex = -1;
+    }, "onFilterChange"),
+    onFilterBlur: /* @__PURE__ */ __name(function onFilterBlur() {
+      this.focusedOptionIndex = this.startRangeIndex = -1;
+    }, "onFilterBlur"),
+    onFilterKeyDown: /* @__PURE__ */ __name(function onFilterKeyDown(event2) {
+      switch (event2.code) {
+        case "ArrowDown":
+          this.onArrowDownKey(event2);
+          break;
+        case "ArrowUp":
+          this.onArrowUpKey(event2);
+          break;
+        case "ArrowLeft":
+        case "ArrowRight":
+          this.onArrowLeftKey(event2, true);
+          break;
+        case "Home":
+          this.onHomeKey(event2, true);
+          break;
+        case "End":
+          this.onEndKey(event2, true);
+          break;
+        case "Enter":
+        case "NumpadEnter":
+          this.onEnterKey(event2);
+          break;
+        case "ShiftLeft":
+        case "ShiftRight":
+          this.onShiftKey(event2);
+          break;
+      }
+    }, "onFilterKeyDown"),
+    onArrowDownKey: /* @__PURE__ */ __name(function onArrowDownKey(event2) {
+      var optionIndex = this.focusedOptionIndex !== -1 ? this.findNextOptionIndex(this.focusedOptionIndex) : this.findFirstFocusedOptionIndex();
+      if (this.multiple && event2.shiftKey) {
+        this.onOptionSelectRange(event2, this.startRangeIndex, optionIndex);
+      }
+      this.changeFocusedOptionIndex(event2, optionIndex);
+      event2.preventDefault();
+    }, "onArrowDownKey"),
+    onArrowUpKey: /* @__PURE__ */ __name(function onArrowUpKey(event2) {
+      var optionIndex = this.focusedOptionIndex !== -1 ? this.findPrevOptionIndex(this.focusedOptionIndex) : this.findLastFocusedOptionIndex();
+      if (this.multiple && event2.shiftKey) {
+        this.onOptionSelectRange(event2, optionIndex, this.startRangeIndex);
+      }
+      this.changeFocusedOptionIndex(event2, optionIndex);
+      event2.preventDefault();
+    }, "onArrowUpKey"),
+    onArrowLeftKey: /* @__PURE__ */ __name(function onArrowLeftKey(event2) {
+      var pressedInInputText = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      pressedInInputText && (this.focusedOptionIndex = -1);
+    }, "onArrowLeftKey"),
+    onHomeKey: /* @__PURE__ */ __name(function onHomeKey(event2) {
+      var pressedInInputText = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      if (pressedInInputText) {
+        var target = event2.currentTarget;
+        if (event2.shiftKey) {
+          target.setSelectionRange(0, event2.target.selectionStart);
+        } else {
+          target.setSelectionRange(0, 0);
+          this.focusedOptionIndex = -1;
+        }
+      } else {
+        var metaKey = event2.metaKey || event2.ctrlKey;
+        var optionIndex = this.findFirstOptionIndex();
+        if (this.multiple && event2.shiftKey && metaKey) {
+          this.onOptionSelectRange(event2, optionIndex, this.startRangeIndex);
+        }
+        this.changeFocusedOptionIndex(event2, optionIndex);
+      }
+      event2.preventDefault();
+    }, "onHomeKey"),
+    onEndKey: /* @__PURE__ */ __name(function onEndKey(event2) {
+      var pressedInInputText = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      if (pressedInInputText) {
+        var target = event2.currentTarget;
+        if (event2.shiftKey) {
+          target.setSelectionRange(event2.target.selectionStart, target.value.length);
+        } else {
+          var len = target.value.length;
+          target.setSelectionRange(len, len);
+          this.focusedOptionIndex = -1;
+        }
+      } else {
+        var metaKey = event2.metaKey || event2.ctrlKey;
+        var optionIndex = this.findLastOptionIndex();
+        if (this.multiple && event2.shiftKey && metaKey) {
+          this.onOptionSelectRange(event2, this.startRangeIndex, optionIndex);
+        }
+        this.changeFocusedOptionIndex(event2, optionIndex);
+      }
+      event2.preventDefault();
+    }, "onEndKey"),
+    onPageUpKey: /* @__PURE__ */ __name(function onPageUpKey(event2) {
+      this.scrollInView(0);
+      event2.preventDefault();
+    }, "onPageUpKey"),
+    onPageDownKey: /* @__PURE__ */ __name(function onPageDownKey(event2) {
+      this.scrollInView(this.visibleOptions.length - 1);
+      event2.preventDefault();
+    }, "onPageDownKey"),
+    onEnterKey: /* @__PURE__ */ __name(function onEnterKey(event2) {
+      if (this.focusedOptionIndex !== -1) {
+        if (this.multiple && event2.shiftKey) this.onOptionSelectRange(event2, this.focusedOptionIndex);
+        else this.onOptionSelect(event2, this.visibleOptions[this.focusedOptionIndex]);
+      }
+    }, "onEnterKey"),
+    onSpaceKey: /* @__PURE__ */ __name(function onSpaceKey(event2) {
+      event2.preventDefault();
+      this.onEnterKey(event2);
+    }, "onSpaceKey"),
+    onShiftKey: /* @__PURE__ */ __name(function onShiftKey() {
+      this.startRangeIndex = this.focusedOptionIndex;
+    }, "onShiftKey"),
+    isOptionMatched: /* @__PURE__ */ __name(function isOptionMatched(option4) {
+      var _this$getOptionLabel;
+      return this.isValidOption(option4) && typeof this.getOptionLabel(option4) === "string" && ((_this$getOptionLabel = this.getOptionLabel(option4)) === null || _this$getOptionLabel === void 0 ? void 0 : _this$getOptionLabel.toLocaleLowerCase(this.filterLocale).startsWith(this.searchValue.toLocaleLowerCase(this.filterLocale)));
+    }, "isOptionMatched"),
+    isValidOption: /* @__PURE__ */ __name(function isValidOption(option4) {
+      return isNotEmpty(option4) && !(this.isOptionDisabled(option4) || this.isOptionGroup(option4));
+    }, "isValidOption"),
+    isValidSelectedOption: /* @__PURE__ */ __name(function isValidSelectedOption(option4) {
+      return this.isValidOption(option4) && this.isSelected(option4);
+    }, "isValidSelectedOption"),
+    isEquals: /* @__PURE__ */ __name(function isEquals(value1, value22) {
+      return equals(value1, value22, this.equalityKey);
+    }, "isEquals"),
+    isSelected: /* @__PURE__ */ __name(function isSelected(option4) {
+      var _this4 = this;
+      var optionValue = this.getOptionValue(option4);
+      if (this.multiple) return (this.modelValue || []).some(function(value3) {
+        return _this4.isEquals(value3, optionValue);
+      });
+      else return this.isEquals(this.modelValue, optionValue);
+    }, "isSelected"),
+    findFirstOptionIndex: /* @__PURE__ */ __name(function findFirstOptionIndex() {
+      var _this5 = this;
+      return this.visibleOptions.findIndex(function(option4) {
+        return _this5.isValidOption(option4);
+      });
+    }, "findFirstOptionIndex"),
+    findLastOptionIndex: /* @__PURE__ */ __name(function findLastOptionIndex() {
+      var _this6 = this;
+      return findLastIndex(this.visibleOptions, function(option4) {
+        return _this6.isValidOption(option4);
+      });
+    }, "findLastOptionIndex"),
+    findNextOptionIndex: /* @__PURE__ */ __name(function findNextOptionIndex(index2) {
+      var _this7 = this;
+      var matchedOptionIndex = index2 < this.visibleOptions.length - 1 ? this.visibleOptions.slice(index2 + 1).findIndex(function(option4) {
+        return _this7.isValidOption(option4);
+      }) : -1;
+      return matchedOptionIndex > -1 ? matchedOptionIndex + index2 + 1 : index2;
+    }, "findNextOptionIndex"),
+    findPrevOptionIndex: /* @__PURE__ */ __name(function findPrevOptionIndex(index2) {
+      var _this8 = this;
+      var matchedOptionIndex = index2 > 0 ? findLastIndex(this.visibleOptions.slice(0, index2), function(option4) {
+        return _this8.isValidOption(option4);
+      }) : -1;
+      return matchedOptionIndex > -1 ? matchedOptionIndex : index2;
+    }, "findPrevOptionIndex"),
+    findSelectedOptionIndex: /* @__PURE__ */ __name(function findSelectedOptionIndex() {
+      var _this9 = this;
+      if (this.hasSelectedOption) {
+        if (this.multiple) {
+          var _loop = /* @__PURE__ */ __name(function _loop2() {
+            var value3 = _this9.modelValue[index2];
+            var matchedOptionIndex = _this9.visibleOptions.findIndex(function(option4) {
+              return _this9.isValidSelectedOption(option4) && _this9.isEquals(value3, _this9.getOptionValue(option4));
+            });
+            if (matchedOptionIndex > -1) return {
+              v: matchedOptionIndex
+            };
+          }, "_loop"), _ret;
+          for (var index2 = this.modelValue.length - 1; index2 >= 0; index2--) {
+            _ret = _loop();
+            if (_ret) return _ret.v;
+          }
+        } else {
+          return this.visibleOptions.findIndex(function(option4) {
+            return _this9.isValidSelectedOption(option4);
+          });
+        }
+      }
+      return -1;
+    }, "findSelectedOptionIndex"),
+    findFirstSelectedOptionIndex: /* @__PURE__ */ __name(function findFirstSelectedOptionIndex() {
+      var _this10 = this;
+      return this.hasSelectedOption ? this.visibleOptions.findIndex(function(option4) {
+        return _this10.isValidSelectedOption(option4);
+      }) : -1;
+    }, "findFirstSelectedOptionIndex"),
+    findLastSelectedOptionIndex: /* @__PURE__ */ __name(function findLastSelectedOptionIndex() {
+      var _this11 = this;
+      return this.hasSelectedOption ? findLastIndex(this.visibleOptions, function(option4) {
+        return _this11.isValidSelectedOption(option4);
+      }) : -1;
+    }, "findLastSelectedOptionIndex"),
+    findNextSelectedOptionIndex: /* @__PURE__ */ __name(function findNextSelectedOptionIndex(index2) {
+      var _this12 = this;
+      var matchedOptionIndex = this.hasSelectedOption && index2 < this.visibleOptions.length - 1 ? this.visibleOptions.slice(index2 + 1).findIndex(function(option4) {
+        return _this12.isValidSelectedOption(option4);
+      }) : -1;
+      return matchedOptionIndex > -1 ? matchedOptionIndex + index2 + 1 : -1;
+    }, "findNextSelectedOptionIndex"),
+    findPrevSelectedOptionIndex: /* @__PURE__ */ __name(function findPrevSelectedOptionIndex(index2) {
+      var _this13 = this;
+      var matchedOptionIndex = this.hasSelectedOption && index2 > 0 ? findLastIndex(this.visibleOptions.slice(0, index2), function(option4) {
+        return _this13.isValidSelectedOption(option4);
+      }) : -1;
+      return matchedOptionIndex > -1 ? matchedOptionIndex : -1;
+    }, "findPrevSelectedOptionIndex"),
+    findNearestSelectedOptionIndex: /* @__PURE__ */ __name(function findNearestSelectedOptionIndex(index2) {
+      var firstCheckUp = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      var matchedOptionIndex = -1;
+      if (this.hasSelectedOption) {
+        if (firstCheckUp) {
+          matchedOptionIndex = this.findPrevSelectedOptionIndex(index2);
+          matchedOptionIndex = matchedOptionIndex === -1 ? this.findNextSelectedOptionIndex(index2) : matchedOptionIndex;
+        } else {
+          matchedOptionIndex = this.findNextSelectedOptionIndex(index2);
+          matchedOptionIndex = matchedOptionIndex === -1 ? this.findPrevSelectedOptionIndex(index2) : matchedOptionIndex;
+        }
+      }
+      return matchedOptionIndex > -1 ? matchedOptionIndex : index2;
+    }, "findNearestSelectedOptionIndex"),
+    findFirstFocusedOptionIndex: /* @__PURE__ */ __name(function findFirstFocusedOptionIndex() {
+      var selectedIndex = this.findFirstSelectedOptionIndex();
+      return selectedIndex < 0 ? this.findFirstOptionIndex() : selectedIndex;
+    }, "findFirstFocusedOptionIndex"),
+    findLastFocusedOptionIndex: /* @__PURE__ */ __name(function findLastFocusedOptionIndex() {
+      var selectedIndex = this.findLastSelectedOptionIndex();
+      return selectedIndex < 0 ? this.findLastOptionIndex() : selectedIndex;
+    }, "findLastFocusedOptionIndex"),
+    searchOptions: /* @__PURE__ */ __name(function searchOptions(event2, _char) {
+      var _this14 = this;
+      this.searchValue = (this.searchValue || "") + _char;
+      var optionIndex = -1;
+      if (isNotEmpty(this.searchValue)) {
+        if (this.focusedOptionIndex !== -1) {
+          optionIndex = this.visibleOptions.slice(this.focusedOptionIndex).findIndex(function(option4) {
+            return _this14.isOptionMatched(option4);
+          });
+          optionIndex = optionIndex === -1 ? this.visibleOptions.slice(0, this.focusedOptionIndex).findIndex(function(option4) {
+            return _this14.isOptionMatched(option4);
+          }) : optionIndex + this.focusedOptionIndex;
+        } else {
+          optionIndex = this.visibleOptions.findIndex(function(option4) {
+            return _this14.isOptionMatched(option4);
+          });
+        }
+        if (optionIndex === -1 && this.focusedOptionIndex === -1) {
+          optionIndex = this.findFirstFocusedOptionIndex();
+        }
+        if (optionIndex !== -1) {
+          this.changeFocusedOptionIndex(event2, optionIndex);
+        }
+      }
+      if (this.searchTimeout) {
+        clearTimeout(this.searchTimeout);
+      }
+      this.searchTimeout = setTimeout(function() {
+        _this14.searchValue = "";
+        _this14.searchTimeout = null;
+      }, 500);
+    }, "searchOptions"),
+    removeOption: /* @__PURE__ */ __name(function removeOption(option4) {
+      var _this15 = this;
+      return this.modelValue.filter(function(val) {
+        return !equals(val, _this15.getOptionValue(option4), _this15.equalityKey);
+      });
+    }, "removeOption"),
+    changeFocusedOptionIndex: /* @__PURE__ */ __name(function changeFocusedOptionIndex(event2, index2) {
+      if (this.focusedOptionIndex !== index2) {
+        this.focusedOptionIndex = index2;
+        this.scrollInView();
+        if (this.selectOnFocus && !this.multiple) {
+          this.onOptionSelect(event2, this.visibleOptions[index2]);
+        }
+      }
+    }, "changeFocusedOptionIndex"),
+    scrollInView: /* @__PURE__ */ __name(function scrollInView3() {
+      var _this16 = this;
+      var index2 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : -1;
+      this.$nextTick(function() {
+        var id2 = index2 !== -1 ? "".concat(_this16.id, "_").concat(index2) : _this16.focusedOptionId;
+        var element = findSingle(_this16.list, 'li[id="'.concat(id2, '"]'));
+        if (element) {
+          element.scrollIntoView && element.scrollIntoView({
+            block: "nearest",
+            inline: "nearest",
+            behavior: "smooth"
+          });
+        } else if (!_this16.virtualScrollerDisabled) {
+          _this16.virtualScroller && _this16.virtualScroller.scrollToIndex(index2 !== -1 ? index2 : _this16.focusedOptionIndex);
+        }
+      });
+    }, "scrollInView"),
+    autoUpdateModel: /* @__PURE__ */ __name(function autoUpdateModel() {
+      if (this.selectOnFocus && this.autoOptionFocus && !this.hasSelectedOption && !this.multiple && this.focused) {
+        this.focusedOptionIndex = this.findFirstFocusedOptionIndex();
+        this.onOptionSelect(null, this.visibleOptions[this.focusedOptionIndex]);
+      }
+    }, "autoUpdateModel"),
+    updateModel: /* @__PURE__ */ __name(function updateModel(event2, value3) {
+      this.$emit("update:modelValue", value3);
+      this.$emit("change", {
+        originalEvent: event2,
+        value: value3
+      });
+    }, "updateModel"),
+    flatOptions: /* @__PURE__ */ __name(function flatOptions(options3) {
+      var _this17 = this;
+      return (options3 || []).reduce(function(result, option4, index2) {
+        result.push({
+          optionGroup: option4,
+          group: true,
+          index: index2
+        });
+        var optionGroupChildren = _this17.getOptionGroupChildren(option4);
+        optionGroupChildren && optionGroupChildren.forEach(function(o) {
+          return result.push(o);
+        });
+        return result;
+      }, []);
+    }, "flatOptions"),
+    listRef: /* @__PURE__ */ __name(function listRef(el, contentRef3) {
+      this.list = el;
+      contentRef3 && contentRef3(el);
+    }, "listRef"),
+    virtualScrollerRef: /* @__PURE__ */ __name(function virtualScrollerRef(el) {
+      this.virtualScroller = el;
+    }, "virtualScrollerRef")
+  },
+  computed: {
+    visibleOptions: /* @__PURE__ */ __name(function visibleOptions() {
+      var options3 = this.optionGroupLabel ? this.flatOptions(this.options) : this.options || [];
+      return this.filterValue ? FilterService.filter(options3, this.searchFields, this.filterValue, this.filterMatchMode, this.filterLocale) : options3;
+    }, "visibleOptions"),
+    hasSelectedOption: /* @__PURE__ */ __name(function hasSelectedOption() {
+      return isNotEmpty(this.modelValue);
+    }, "hasSelectedOption"),
+    equalityKey: /* @__PURE__ */ __name(function equalityKey() {
+      return this.optionValue ? null : this.dataKey;
+    }, "equalityKey"),
+    searchFields: /* @__PURE__ */ __name(function searchFields() {
+      return this.filterFields || [this.optionLabel];
+    }, "searchFields"),
+    filterResultMessageText: /* @__PURE__ */ __name(function filterResultMessageText() {
+      return isNotEmpty(this.visibleOptions) ? this.filterMessageText.replaceAll("{0}", this.visibleOptions.length) : this.emptyFilterMessageText;
+    }, "filterResultMessageText"),
+    filterMessageText: /* @__PURE__ */ __name(function filterMessageText() {
+      return this.filterMessage || this.$primevue.config.locale.searchMessage || "";
+    }, "filterMessageText"),
+    emptyFilterMessageText: /* @__PURE__ */ __name(function emptyFilterMessageText() {
+      return this.emptyFilterMessage || this.$primevue.config.locale.emptySearchMessage || this.$primevue.config.locale.emptyFilterMessage || "";
+    }, "emptyFilterMessageText"),
+    emptyMessageText: /* @__PURE__ */ __name(function emptyMessageText() {
+      return this.emptyMessage || this.$primevue.config.locale.emptyMessage || "";
+    }, "emptyMessageText"),
+    selectionMessageText: /* @__PURE__ */ __name(function selectionMessageText() {
+      return this.selectionMessage || this.$primevue.config.locale.selectionMessage || "";
+    }, "selectionMessageText"),
+    emptySelectionMessageText: /* @__PURE__ */ __name(function emptySelectionMessageText() {
+      return this.emptySelectionMessage || this.$primevue.config.locale.emptySelectionMessage || "";
+    }, "emptySelectionMessageText"),
+    selectedMessageText: /* @__PURE__ */ __name(function selectedMessageText() {
+      return this.hasSelectedOption ? this.selectionMessageText.replaceAll("{0}", this.multiple ? this.modelValue.length : "1") : this.emptySelectionMessageText;
+    }, "selectedMessageText"),
+    focusedOptionId: /* @__PURE__ */ __name(function focusedOptionId() {
+      return this.focusedOptionIndex !== -1 ? "".concat(this.id, "_").concat(this.focusedOptionIndex) : null;
+    }, "focusedOptionId"),
+    ariaSetSize: /* @__PURE__ */ __name(function ariaSetSize() {
+      var _this18 = this;
+      return this.visibleOptions.filter(function(option4) {
+        return !_this18.isOptionGroup(option4);
+      }).length;
+    }, "ariaSetSize"),
+    virtualScrollerDisabled: /* @__PURE__ */ __name(function virtualScrollerDisabled() {
+      return !this.virtualScrollerOptions;
+    }, "virtualScrollerDisabled")
+  },
+  directives: {
+    ripple: Ripple
+  },
+  components: {
+    InputText: script$O,
+    VirtualScroller: script$M,
+    InputIcon: script$P,
+    IconField: script$Q,
+    SearchIcon: script$R,
+    CheckIcon: script$S,
+    BlankIcon: script$T
+  }
+};
+var _hoisted_1$X = ["id"];
+var _hoisted_2$J = ["tabindex"];
+var _hoisted_3$l = ["id", "aria-multiselectable", "aria-label", "aria-labelledby", "aria-activedescendant", "aria-disabled"];
+var _hoisted_4$f = ["id"];
+var _hoisted_5$a = ["id", "aria-label", "aria-selected", "aria-disabled", "aria-setsize", "aria-posinset", "onClick", "onMousedown", "onMousemove", "onDblclick", "data-p-selected", "data-p-focused", "data-p-disabled"];
+var _hoisted_6$9 = ["tabindex"];
+function render$K(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_InputText = resolveComponent("InputText");
+  var _component_SearchIcon = resolveComponent("SearchIcon");
+  var _component_InputIcon = resolveComponent("InputIcon");
+  var _component_IconField = resolveComponent("IconField");
+  var _component_CheckIcon = resolveComponent("CheckIcon");
+  var _component_BlankIcon = resolveComponent("BlankIcon");
+  var _component_VirtualScroller = resolveComponent("VirtualScroller");
+  var _directive_ripple = resolveDirective("ripple");
+  return openBlock(), createElementBlock("div", mergeProps({
+    id: $data.id,
+    "class": _ctx.cx("root"),
+    onFocusout: _cache[7] || (_cache[7] = function() {
+      return $options.onFocusout && $options.onFocusout.apply($options, arguments);
+    })
+  }, _ctx.ptmi("root")), [createBaseVNode("span", mergeProps({
+    ref: "firstHiddenFocusableElement",
+    role: "presentation",
+    "aria-hidden": "true",
+    "class": "p-hidden-accessible p-hidden-focusable",
+    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,
+    onFocus: _cache[0] || (_cache[0] = function() {
+      return $options.onFirstHiddenFocus && $options.onFirstHiddenFocus.apply($options, arguments);
+    })
+  }, _ctx.ptm("hiddenFirstFocusableEl"), {
+    "data-p-hidden-accessible": true,
+    "data-p-hidden-focusable": true
+  }), null, 16, _hoisted_2$J), _ctx.$slots.header ? (openBlock(), createElementBlock("div", {
+    key: 0,
+    "class": normalizeClass(_ctx.cx("header"))
+  }, [renderSlot(_ctx.$slots, "header", {
+    value: _ctx.modelValue,
+    options: $options.visibleOptions
+  })], 2)) : createCommentVNode("", true), _ctx.filter ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 1,
+    "class": _ctx.cx("header")
+  }, _ctx.ptm("header")), [createVNode(_component_IconField, mergeProps({
+    unstyled: _ctx.unstyled
+  }, _ctx.ptm("pcFilterContainer")), {
+    "default": withCtx(function() {
+      return [createVNode(_component_InputText, {
+        modelValue: $data.filterValue,
+        "onUpdate:modelValue": _cache[1] || (_cache[1] = function($event) {
+          return $data.filterValue = $event;
+        }),
+        type: "text",
+        "class": normalizeClass(_ctx.cx("pcFilter")),
+        placeholder: _ctx.filterPlaceholder,
+        role: "searchbox",
+        autocomplete: "off",
+        disabled: _ctx.disabled,
+        unstyled: _ctx.unstyled,
+        "aria-owns": $data.id + "_list",
+        "aria-activedescendant": $options.focusedOptionId,
+        tabindex: !_ctx.disabled && !$data.focused ? _ctx.tabindex : -1,
+        onInput: $options.onFilterChange,
+        onBlur: $options.onFilterBlur,
+        onKeydown: $options.onFilterKeyDown,
+        pt: _ctx.ptm("pcFilter")
+      }, null, 8, ["modelValue", "class", "placeholder", "disabled", "unstyled", "aria-owns", "aria-activedescendant", "tabindex", "onInput", "onBlur", "onKeydown", "pt"]), createVNode(_component_InputIcon, mergeProps({
+        unstyled: _ctx.unstyled
+      }, _ctx.ptm("pcFilterIconContainer")), {
+        "default": withCtx(function() {
+          return [renderSlot(_ctx.$slots, "filtericon", {}, function() {
+            return [_ctx.filterIcon ? (openBlock(), createElementBlock("span", mergeProps({
+              key: 0,
+              "class": _ctx.filterIcon
+            }, _ctx.ptm("filterIcon")), null, 16)) : (openBlock(), createBlock(_component_SearchIcon, normalizeProps(mergeProps({
+              key: 1
+            }, _ctx.ptm("filterIcon"))), null, 16))];
+          })];
+        }),
+        _: 3
+      }, 16, ["unstyled"])];
+    }),
+    _: 3
+  }, 16, ["unstyled"]), createBaseVNode("span", mergeProps({
+    role: "status",
+    "aria-live": "polite",
+    "class": "p-hidden-accessible"
+  }, _ctx.ptm("hiddenFilterResult"), {
+    "data-p-hidden-accessible": true
+  }), toDisplayString$1($options.filterResultMessageText), 17)], 16)) : createCommentVNode("", true), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("listContainer"),
+    style: [{
+      "max-height": $options.virtualScrollerDisabled ? _ctx.scrollHeight : ""
+    }, _ctx.listStyle]
+  }, _ctx.ptm("listContainer")), [createVNode(_component_VirtualScroller, mergeProps({
+    ref: $options.virtualScrollerRef
+  }, _ctx.virtualScrollerOptions, {
+    items: $options.visibleOptions,
+    style: [{
+      height: _ctx.scrollHeight
+    }, _ctx.listStyle],
+    tabindex: -1,
+    disabled: $options.virtualScrollerDisabled,
+    pt: _ctx.ptm("virtualScroller")
+  }), createSlots({
+    content: withCtx(function(_ref) {
+      var styleClass = _ref.styleClass, contentRef3 = _ref.contentRef, items2 = _ref.items, getItemOptions = _ref.getItemOptions, contentStyle = _ref.contentStyle, itemSize2 = _ref.itemSize;
+      return [createBaseVNode("ul", mergeProps({
+        ref: /* @__PURE__ */ __name(function ref2(el) {
+          return $options.listRef(el, contentRef3);
+        }, "ref"),
+        id: $data.id + "_list",
+        "class": [_ctx.cx("list"), styleClass],
+        style: contentStyle,
+        tabindex: -1,
+        role: "listbox",
+        "aria-multiselectable": _ctx.multiple,
+        "aria-label": _ctx.ariaLabel,
+        "aria-labelledby": _ctx.ariaLabelledby,
+        "aria-activedescendant": $data.focused ? $options.focusedOptionId : void 0,
+        "aria-disabled": _ctx.disabled,
+        onFocus: _cache[3] || (_cache[3] = function() {
+          return $options.onListFocus && $options.onListFocus.apply($options, arguments);
+        }),
+        onBlur: _cache[4] || (_cache[4] = function() {
+          return $options.onListBlur && $options.onListBlur.apply($options, arguments);
+        }),
+        onKeydown: _cache[5] || (_cache[5] = function() {
+          return $options.onListKeyDown && $options.onListKeyDown.apply($options, arguments);
+        })
+      }, _ctx.ptm("list")), [(openBlock(true), createElementBlock(Fragment, null, renderList(items2, function(option4, i2) {
+        return openBlock(), createElementBlock(Fragment, {
+          key: $options.getOptionRenderKey(option4, $options.getOptionIndex(i2, getItemOptions))
+        }, [$options.isOptionGroup(option4) ? (openBlock(), createElementBlock("li", mergeProps({
+          key: 0,
+          id: $data.id + "_" + $options.getOptionIndex(i2, getItemOptions),
+          style: {
+            height: itemSize2 ? itemSize2 + "px" : void 0
+          },
+          "class": _ctx.cx("optionGroup"),
+          role: "option",
+          ref_for: true
+        }, _ctx.ptm("optionGroup")), [renderSlot(_ctx.$slots, "optiongroup", {
+          option: option4.optionGroup,
+          index: $options.getOptionIndex(i2, getItemOptions)
+        }, function() {
+          return [createTextVNode(toDisplayString$1($options.getOptionGroupLabel(option4.optionGroup)), 1)];
+        })], 16, _hoisted_4$f)) : withDirectives((openBlock(), createElementBlock("li", mergeProps({
+          key: 1,
+          id: $data.id + "_" + $options.getOptionIndex(i2, getItemOptions),
+          style: {
+            height: itemSize2 ? itemSize2 + "px" : void 0
+          },
+          "class": _ctx.cx("option", {
+            option: option4,
+            index: i2,
+            getItemOptions
+          }),
+          role: "option",
+          "aria-label": $options.getOptionLabel(option4),
+          "aria-selected": $options.isSelected(option4),
+          "aria-disabled": $options.isOptionDisabled(option4),
+          "aria-setsize": $options.ariaSetSize,
+          "aria-posinset": $options.getAriaPosInset($options.getOptionIndex(i2, getItemOptions)),
+          onClick: /* @__PURE__ */ __name(function onClick3($event) {
+            return $options.onOptionSelect($event, option4, $options.getOptionIndex(i2, getItemOptions));
+          }, "onClick"),
+          onMousedown: /* @__PURE__ */ __name(function onMousedown($event) {
+            return $options.onOptionMouseDown($event, $options.getOptionIndex(i2, getItemOptions));
+          }, "onMousedown"),
+          onMousemove: /* @__PURE__ */ __name(function onMousemove($event) {
+            return $options.onOptionMouseMove($event, $options.getOptionIndex(i2, getItemOptions));
+          }, "onMousemove"),
+          onTouchend: _cache[2] || (_cache[2] = function($event) {
+            return $options.onOptionTouchEnd();
+          }),
+          onDblclick: /* @__PURE__ */ __name(function onDblclick($event) {
+            return $options.onOptionDblClick($event, option4);
+          }, "onDblclick"),
+          ref_for: true
+        }, $options.getPTOptions(option4, getItemOptions, i2, "option"), {
+          "data-p-selected": $options.isSelected(option4),
+          "data-p-focused": $data.focusedOptionIndex === $options.getOptionIndex(i2, getItemOptions),
+          "data-p-disabled": $options.isOptionDisabled(option4)
+        }), [_ctx.checkmark ? (openBlock(), createElementBlock(Fragment, {
+          key: 0
+        }, [$options.isSelected(option4) ? (openBlock(), createBlock(_component_CheckIcon, mergeProps({
+          key: 0,
+          "class": _ctx.cx("optionCheckIcon"),
+          ref_for: true
+        }, _ctx.ptm("optionCheckIcon")), null, 16, ["class"])) : (openBlock(), createBlock(_component_BlankIcon, mergeProps({
+          key: 1,
+          "class": _ctx.cx("optionBlankIcon"),
+          ref_for: true
+        }, _ctx.ptm("optionBlankIcon")), null, 16, ["class"]))], 64)) : createCommentVNode("", true), renderSlot(_ctx.$slots, "option", {
+          option: option4,
+          selected: $options.isSelected(option4),
+          index: $options.getOptionIndex(i2, getItemOptions)
+        }, function() {
+          return [createTextVNode(toDisplayString$1($options.getOptionLabel(option4)), 1)];
+        })], 16, _hoisted_5$a)), [[_directive_ripple]])], 64);
+      }), 128)), $data.filterValue && (!items2 || items2 && items2.length === 0) ? (openBlock(), createElementBlock("li", mergeProps({
+        key: 0,
+        "class": _ctx.cx("emptyMessage"),
+        role: "option"
+      }, _ctx.ptm("emptyMessage")), [renderSlot(_ctx.$slots, "emptyfilter", {}, function() {
+        return [createTextVNode(toDisplayString$1($options.emptyFilterMessageText), 1)];
+      })], 16)) : !_ctx.options || _ctx.options && _ctx.options.length === 0 ? (openBlock(), createElementBlock("li", mergeProps({
+        key: 1,
+        "class": _ctx.cx("emptyMessage"),
+        role: "option"
+      }, _ctx.ptm("emptyMessage")), [renderSlot(_ctx.$slots, "empty", {}, function() {
+        return [createTextVNode(toDisplayString$1($options.emptyMessageText), 1)];
+      })], 16)) : createCommentVNode("", true)], 16, _hoisted_3$l)];
+    }),
+    _: 2
+  }, [_ctx.$slots.loader ? {
+    name: "loader",
+    fn: withCtx(function(_ref2) {
+      var options3 = _ref2.options;
+      return [renderSlot(_ctx.$slots, "loader", {
+        options: options3
+      })];
+    }),
+    key: "0"
+  } : void 0]), 1040, ["items", "style", "disabled", "pt"])], 16), renderSlot(_ctx.$slots, "footer", {
+    value: _ctx.modelValue,
+    options: $options.visibleOptions
+  }), !_ctx.options || _ctx.options && _ctx.options.length === 0 ? (openBlock(), createElementBlock("span", mergeProps({
+    key: 2,
+    role: "status",
+    "aria-live": "polite",
+    "class": "p-hidden-accessible"
+  }, _ctx.ptm("hiddenEmptyMessage"), {
+    "data-p-hidden-accessible": true
+  }), toDisplayString$1($options.emptyMessageText), 17)) : createCommentVNode("", true), createBaseVNode("span", mergeProps({
+    role: "status",
+    "aria-live": "polite",
+    "class": "p-hidden-accessible"
+  }, _ctx.ptm("hiddenSelectedMessage"), {
+    "data-p-hidden-accessible": true
+  }), toDisplayString$1($options.selectedMessageText), 17), createBaseVNode("span", mergeProps({
+    ref: "lastHiddenFocusableElement",
+    role: "presentation",
+    "aria-hidden": "true",
+    "class": "p-hidden-accessible p-hidden-focusable",
+    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,
+    onFocus: _cache[6] || (_cache[6] = function() {
+      return $options.onLastHiddenFocus && $options.onLastHiddenFocus.apply($options, arguments);
+    })
+  }, _ctx.ptm("hiddenLastFocusableEl"), {
+    "data-p-hidden-accessible": true,
+    "data-p-hidden-focusable": true
+  }), null, 16, _hoisted_6$9)], 16, _hoisted_1$X);
+}
+__name(render$K, "render$K");
+script$L.render = render$K;
+var theme$q = /* @__PURE__ */ __name(function theme11(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-badge {\n    display: inline-flex;\n    border-radius: ".concat(dt3("badge.border.radius"), ";\n    align-items: center;\n    justify-content: center;\n    padding: ").concat(dt3("badge.padding"), ";\n    background: ").concat(dt3("badge.primary.background"), ";\n    color: ").concat(dt3("badge.primary.color"), ";\n    font-size: ").concat(dt3("badge.font.size"), ";\n    font-weight: ").concat(dt3("badge.font.weight"), ";\n    min-width: ").concat(dt3("badge.min.width"), ";\n    height: ").concat(dt3("badge.height"), ";\n}\n\n.p-badge-dot {\n    width: ").concat(dt3("badge.dot.size"), ";\n    min-width: ").concat(dt3("badge.dot.size"), ";\n    height: ").concat(dt3("badge.dot.size"), ";\n    border-radius: 50%;\n    padding: 0;\n}\n\n.p-badge-circle {\n    padding: 0;\n    border-radius: 50%;\n}\n\n.p-badge-secondary {\n    background: ").concat(dt3("badge.secondary.background"), ";\n    color: ").concat(dt3("badge.secondary.color"), ";\n}\n\n.p-badge-success {\n    background: ").concat(dt3("badge.success.background"), ";\n    color: ").concat(dt3("badge.success.color"), ";\n}\n\n.p-badge-info {\n    background: ").concat(dt3("badge.info.background"), ";\n    color: ").concat(dt3("badge.info.color"), ";\n}\n\n.p-badge-warn {\n    background: ").concat(dt3("badge.warn.background"), ";\n    color: ").concat(dt3("badge.warn.color"), ";\n}\n\n.p-badge-danger {\n    background: ").concat(dt3("badge.danger.background"), ";\n    color: ").concat(dt3("badge.danger.color"), ";\n}\n\n.p-badge-contrast {\n    background: ").concat(dt3("badge.contrast.background"), ";\n    color: ").concat(dt3("badge.contrast.color"), ";\n}\n\n.p-badge-sm {\n    font-size: ").concat(dt3("badge.sm.font.size"), ";\n    min-width: ").concat(dt3("badge.sm.min.width"), ";\n    height: ").concat(dt3("badge.sm.height"), ";\n}\n\n.p-badge-lg {\n    font-size: ").concat(dt3("badge.lg.font.size"), ";\n    min-width: ").concat(dt3("badge.lg.min.width"), ";\n    height: ").concat(dt3("badge.lg.height"), ";\n}\n\n.p-badge-xl {\n    font-size: ").concat(dt3("badge.xl.font.size"), ";\n    min-width: ").concat(dt3("badge.xl.min.width"), ";\n    height: ").concat(dt3("badge.xl.height"), ";\n}\n");
+}, "theme");
+var classes$t = {
+  root: /* @__PURE__ */ __name(function root3(_ref2) {
+    var props = _ref2.props, instance = _ref2.instance;
+    return ["p-badge p-component", {
+      "p-badge-circle": isNotEmpty(props.value) && String(props.value).length === 1,
+      "p-badge-dot": isEmpty(props.value) && !instance.$slots["default"],
+      "p-badge-sm": props.size === "small",
+      "p-badge-lg": props.size === "large",
+      "p-badge-xl": props.size === "xlarge",
+      "p-badge-info": props.severity === "info",
+      "p-badge-success": props.severity === "success",
+      "p-badge-warn": props.severity === "warn",
+      "p-badge-danger": props.severity === "danger",
+      "p-badge-secondary": props.severity === "secondary",
+      "p-badge-contrast": props.severity === "contrast"
+    }];
+  }, "root")
+};
+var BadgeStyle = BaseStyle.extend({
+  name: "badge",
+  theme: theme$q,
+  classes: classes$t
+});
+var script$1$t = {
+  name: "BaseBadge",
+  "extends": script$X,
+  props: {
+    value: {
+      type: [String, Number],
+      "default": null
+    },
+    severity: {
+      type: String,
+      "default": null
+    },
+    size: {
+      type: String,
+      "default": null
+    }
+  },
+  style: BadgeStyle,
+  provide: /* @__PURE__ */ __name(function provide10() {
+    return {
+      $pcBadge: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$K = {
+  name: "Badge",
+  "extends": script$1$t,
+  inheritAttrs: false
+};
+function render$J(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("span", mergeProps({
+    "class": _ctx.cx("root")
+  }, _ctx.ptmi("root")), [renderSlot(_ctx.$slots, "default", {}, function() {
+    return [createTextVNode(toDisplayString$1(_ctx.value), 1)];
+  })], 16);
+}
+__name(render$J, "render$J");
+script$K.render = render$J;
+function _typeof$b(o) {
+  "@babel/helpers - typeof";
+  return _typeof$b = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$b(o);
+}
+__name(_typeof$b, "_typeof$b");
+function _defineProperty$b(e, r, t) {
+  return (r = _toPropertyKey$a(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$b, "_defineProperty$b");
+function _toPropertyKey$a(t) {
+  var i2 = _toPrimitive$a(t, "string");
+  return "symbol" == _typeof$b(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$a, "_toPropertyKey$a");
+function _toPrimitive$a(t, r) {
+  if ("object" != _typeof$b(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$b(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$a, "_toPrimitive$a");
+var theme$p = /* @__PURE__ */ __name(function theme12(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-button {\n    display: inline-flex;\n    cursor: pointer;\n    user-select: none;\n    align-items: center;\n    justify-content: center;\n    overflow: hidden;\n    position: relative;\n    color: ".concat(dt3("button.primary.color"), ";\n    background: ").concat(dt3("button.primary.background"), ";\n    border: 1px solid ").concat(dt3("button.primary.border.color"), ";\n    padding: ").concat(dt3("button.padding.y"), " ").concat(dt3("button.padding.x"), ";\n    font-size: 1rem;\n    font-family: inherit;\n    font-feature-settings: inherit;\n    transition: background ").concat(dt3("button.transition.duration"), ", color ").concat(dt3("button.transition.duration"), ", border-color ").concat(dt3("button.transition.duration"), ",\n            outline-color ").concat(dt3("button.transition.duration"), ", box-shadow ").concat(dt3("button.transition.duration"), ";\n    border-radius: ").concat(dt3("button.border.radius"), ";\n    outline-color: transparent;\n    gap: ").concat(dt3("button.gap"), ";\n}\n\n.p-button:disabled {\n    cursor: default;\n}\n\n.p-button-icon-right {\n    order: 1;\n}\n\n.p-button-icon-bottom {\n    order: 2;\n}\n\n.p-button-icon-only {\n    width: ").concat(dt3("button.icon.only.width"), ";\n    padding-left: 0;\n    padding-right: 0;\n    gap: 0;\n}\n\n.p-button-icon-only.p-button-rounded {\n    border-radius: 50%;\n    height: ").concat(dt3("button.icon.only.width"), ";\n}\n\n.p-button-icon-only .p-button-label {\n    visibility: hidden;\n    width: 0;\n}\n\n.p-button-sm {\n    font-size: ").concat(dt3("button.sm.font.size"), ";\n    padding: ").concat(dt3("button.sm.padding.y"), " ").concat(dt3("button.sm.padding.x"), ";\n}\n\n.p-button-sm .p-button-icon {\n    font-size: ").concat(dt3("button.sm.font.size"), ";\n}\n\n.p-button-lg {\n    font-size: ").concat(dt3("button.lg.font.size"), ";\n    padding: ").concat(dt3("button.lg.padding.y"), " ").concat(dt3("button.lg.padding.x"), ";\n}\n\n.p-button-lg .p-button-icon {\n    font-size: ").concat(dt3("button.lg.font.size"), ";\n}\n\n.p-button-vertical {\n    flex-direction: column;\n}\n\n.p-button-label {\n    font-weight: ").concat(dt3("button.label.font.weight"), ";\n}\n\n.p-button-fluid {\n    width: 100%;\n}\n\n.p-button-fluid.p-button-icon-only {\n    width: ").concat(dt3("button.icon.only.width"), ";\n}\n\n.p-button:not(:disabled):hover {\n    background: ").concat(dt3("button.primary.hover.background"), ";\n    border: 1px solid ").concat(dt3("button.primary.hover.border.color"), ";\n    color: ").concat(dt3("button.primary.hover.color"), ";\n}\n\n.p-button:not(:disabled):active {\n    background: ").concat(dt3("button.primary.active.background"), ";\n    border: 1px solid ").concat(dt3("button.primary.active.border.color"), ";\n    color: ").concat(dt3("button.primary.active.color"), ";\n}\n\n.p-button:focus-visible {\n    box-shadow: ").concat(dt3("button.primary.focus.ring.shadow"), ";\n    outline: ").concat(dt3("button.focus.ring.width"), " ").concat(dt3("button.focus.ring.style"), " ").concat(dt3("button.primary.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("button.focus.ring.offset"), ";\n}\n\n.p-button .p-badge {\n    min-width: ").concat(dt3("button.badge.size"), ";\n    height: ").concat(dt3("button.badge.size"), ";\n    line-height: ").concat(dt3("button.badge.size"), ";\n}\n\n.p-button-raised {\n    box-shadow: ").concat(dt3("button.raised.shadow"), ";\n}\n\n.p-button-rounded {\n    border-radius: ").concat(dt3("button.rounded.border.radius"), ";\n}\n\n.p-button-secondary {\n    background: ").concat(dt3("button.secondary.background"), ";\n    border: 1px solid ").concat(dt3("button.secondary.border.color"), ";\n    color: ").concat(dt3("button.secondary.color"), ";\n}\n\n.p-button-secondary:not(:disabled):hover {\n    background: ").concat(dt3("button.secondary.hover.background"), ";\n    border: 1px solid ").concat(dt3("button.secondary.hover.border.color"), ";\n    color: ").concat(dt3("button.secondary.hover.color"), ";\n}\n\n.p-button-secondary:not(:disabled):active {\n    background: ").concat(dt3("button.secondary.active.background"), ";\n    border: 1px solid ").concat(dt3("button.secondary.active.border.color"), ";\n    color: ").concat(dt3("button.secondary.active.color"), ";\n}\n\n.p-button-secondary:focus-visible {\n    outline-color: ").concat(dt3("button.secondary.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("button.secondary.focus.ring.shadow"), ";\n}\n\n.p-button-success {\n    background: ").concat(dt3("button.success.background"), ";\n    border: 1px solid ").concat(dt3("button.success.border.color"), ";\n    color: ").concat(dt3("button.success.color"), ";\n}\n\n.p-button-success:not(:disabled):hover {\n    background: ").concat(dt3("button.success.hover.background"), ";\n    border: 1px solid ").concat(dt3("button.success.hover.border.color"), ";\n    color: ").concat(dt3("button.success.hover.color"), ";\n}\n\n.p-button-success:not(:disabled):active {\n    background: ").concat(dt3("button.success.active.background"), ";\n    border: 1px solid ").concat(dt3("button.success.active.border.color"), ";\n    color: ").concat(dt3("button.success.active.color"), ";\n}\n\n.p-button-success:focus-visible {\n    outline-color: ").concat(dt3("button.success.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("button.success.focus.ring.shadow"), ";\n}\n\n.p-button-info {\n    background: ").concat(dt3("button.info.background"), ";\n    border: 1px solid ").concat(dt3("button.info.border.color"), ";\n    color: ").concat(dt3("button.info.color"), ";\n}\n\n.p-button-info:not(:disabled):hover {\n    background: ").concat(dt3("button.info.hover.background"), ";\n    border: 1px solid ").concat(dt3("button.info.hover.border.color"), ";\n    color: ").concat(dt3("button.info.hover.color"), ";\n}\n\n.p-button-info:not(:disabled):active {\n    background: ").concat(dt3("button.info.active.background"), ";\n    border: 1px solid ").concat(dt3("button.info.active.border.color"), ";\n    color: ").concat(dt3("button.info.active.color"), ";\n}\n\n.p-button-info:focus-visible {\n    outline-color: ").concat(dt3("button.info.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("button.info.focus.ring.shadow"), ";\n}\n\n.p-button-warn {\n    background: ").concat(dt3("button.warn.background"), ";\n    border: 1px solid ").concat(dt3("button.warn.border.color"), ";\n    color: ").concat(dt3("button.warn.color"), ";\n}\n\n.p-button-warn:not(:disabled):hover {\n    background: ").concat(dt3("button.warn.hover.background"), ";\n    border: 1px solid ").concat(dt3("button.warn.hover.border.color"), ";\n    color: ").concat(dt3("button.warn.hover.color"), ";\n}\n\n.p-button-warn:not(:disabled):active {\n    background: ").concat(dt3("button.warn.active.background"), ";\n    border: 1px solid ").concat(dt3("button.warn.active.border.color"), ";\n    color: ").concat(dt3("button.warn.active.color"), ";\n}\n\n.p-button-warn:focus-visible {\n    outline-color: ").concat(dt3("button.warn.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("button.warn.focus.ring.shadow"), ";\n}\n\n.p-button-help {\n    background: ").concat(dt3("button.help.background"), ";\n    border: 1px solid ").concat(dt3("button.help.border.color"), ";\n    color: ").concat(dt3("button.help.color"), ";\n}\n\n.p-button-help:not(:disabled):hover {\n    background: ").concat(dt3("button.help.hover.background"), ";\n    border: 1px solid ").concat(dt3("button.help.hover.border.color"), ";\n    color: ").concat(dt3("button.help.hover.color"), ";\n}\n\n.p-button-help:not(:disabled):active {\n    background: ").concat(dt3("button.help.active.background"), ";\n    border: 1px solid ").concat(dt3("button.help.active.border.color"), ";\n    color: ").concat(dt3("button.help.active.color"), ";\n}\n\n.p-button-help:focus-visible {\n    outline-color: ").concat(dt3("button.help.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("button.help.focus.ring.shadow"), ";\n}\n\n.p-button-danger {\n    background: ").concat(dt3("button.danger.background"), ";\n    border: 1px solid ").concat(dt3("button.danger.border.color"), ";\n    color: ").concat(dt3("button.danger.color"), ";\n}\n\n.p-button-danger:not(:disabled):hover {\n    background: ").concat(dt3("button.danger.hover.background"), ";\n    border: 1px solid ").concat(dt3("button.danger.hover.border.color"), ";\n    color: ").concat(dt3("button.danger.hover.color"), ";\n}\n\n.p-button-danger:not(:disabled):active {\n    background: ").concat(dt3("button.danger.active.background"), ";\n    border: 1px solid ").concat(dt3("button.danger.active.border.color"), ";\n    color: ").concat(dt3("button.danger.active.color"), ";\n}\n\n.p-button-danger:focus-visible {\n    outline-color: ").concat(dt3("button.danger.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("button.danger.focus.ring.shadow"), ";\n}\n\n.p-button-contrast {\n    background: ").concat(dt3("button.contrast.background"), ";\n    border: 1px solid ").concat(dt3("button.contrast.border.color"), ";\n    color: ").concat(dt3("button.contrast.color"), ";\n}\n\n.p-button-contrast:not(:disabled):hover {\n    background: ").concat(dt3("button.contrast.hover.background"), ";\n    border: 1px solid ").concat(dt3("button.contrast.hover.border.color"), ";\n    color: ").concat(dt3("button.contrast.hover.color"), ";\n}\n\n.p-button-contrast:not(:disabled):active {\n    background: ").concat(dt3("button.contrast.active.background"), ";\n    border: 1px solid ").concat(dt3("button.contrast.active.border.color"), ";\n    color: ").concat(dt3("button.contrast.active.color"), ";\n}\n\n.p-button-contrast:focus-visible {\n    outline-color: ").concat(dt3("button.contrast.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("button.contrast.focus.ring.shadow"), ";\n}\n\n.p-button-outlined {\n    background: transparent;\n    border-color: ").concat(dt3("button.outlined.primary.border.color"), ";\n    color: ").concat(dt3("button.outlined.primary.color"), ";\n}\n\n.p-button-outlined:not(:disabled):hover {\n    background: ").concat(dt3("button.outlined.primary.hover.background"), ";\n    border-color: ").concat(dt3("button.outlined.primary.border.color"), ";\n    color: ").concat(dt3("button.outlined.primary.color"), ";\n}\n\n.p-button-outlined:not(:disabled):active {\n    background: ").concat(dt3("button.outlined.primary.active.background"), ";\n    border-color: ").concat(dt3("button.outlined.primary.border.color"), ";\n    color: ").concat(dt3("button.outlined.primary.color"), ";\n}\n\n.p-button-outlined.p-button-secondary {\n    border-color: ").concat(dt3("button.outlined.secondary.border.color"), ";\n    color: ").concat(dt3("button.outlined.secondary.color"), ";\n}\n\n.p-button-outlined.p-button-secondary:not(:disabled):hover {\n    background: ").concat(dt3("button.outlined.secondary.hover.background"), ";\n    border-color: ").concat(dt3("button.outlined.secondary.border.color"), ";\n    color: ").concat(dt3("button.outlined.secondary.color"), ";\n}\n\n.p-button-outlined.p-button-secondary:not(:disabled):active {\n    background: ").concat(dt3("button.outlined.secondary.active.background"), ";\n    border-color: ").concat(dt3("button.outlined.secondary.border.color"), ";\n    color: ").concat(dt3("button.outlined.secondary.color"), ";\n}\n\n.p-button-outlined.p-button-success {\n    border-color: ").concat(dt3("button.outlined.success.border.color"), ";\n    color: ").concat(dt3("button.outlined.success.color"), ";\n}\n\n.p-button-outlined.p-button-success:not(:disabled):hover {\n    background: ").concat(dt3("button.outlined.success.hover.background"), ";\n    border-color: ").concat(dt3("button.outlined.success.border.color"), ";\n    color: ").concat(dt3("button.outlined.success.color"), ";\n}\n\n.p-button-outlined.p-button-success:not(:disabled):active {\n    background: ").concat(dt3("button.outlined.success.active.background"), ";\n    border-color: ").concat(dt3("button.outlined.success.border.color"), ";\n    color: ").concat(dt3("button.outlined.success.color"), ";\n}\n\n.p-button-outlined.p-button-info {\n    border-color: ").concat(dt3("button.outlined.info.border.color"), ";\n    color: ").concat(dt3("button.outlined.info.color"), ";\n}\n\n.p-button-outlined.p-button-info:not(:disabled):hover {\n    background: ").concat(dt3("button.outlined.info.hover.background"), ";\n    border-color: ").concat(dt3("button.outlined.info.border.color"), ";\n    color: ").concat(dt3("button.outlined.info.color"), ";\n}\n\n.p-button-outlined.p-button-info:not(:disabled):active {\n    background: ").concat(dt3("button.outlined.info.active.background"), ";\n    border-color: ").concat(dt3("button.outlined.info.border.color"), ";\n    color: ").concat(dt3("button.outlined.info.color"), ";\n}\n\n.p-button-outlined.p-button-warn {\n    border-color: ").concat(dt3("button.outlined.warn.border.color"), ";\n    color: ").concat(dt3("button.outlined.warn.color"), ";\n}\n\n.p-button-outlined.p-button-warn:not(:disabled):hover {\n    background: ").concat(dt3("button.outlined.warn.hover.background"), ";\n    border-color: ").concat(dt3("button.outlined.warn.border.color"), ";\n    color: ").concat(dt3("button.outlined.warn.color"), ";\n}\n\n.p-button-outlined.p-button-warn:not(:disabled):active {\n    background: ").concat(dt3("button.outlined.warn.active.background"), ";\n    border-color: ").concat(dt3("button.outlined.warn.border.color"), ";\n    color: ").concat(dt3("button.outlined.warn.color"), ";\n}\n\n.p-button-outlined.p-button-help {\n    border-color: ").concat(dt3("button.outlined.help.border.color"), ";\n    color: ").concat(dt3("button.outlined.help.color"), ";\n}\n\n.p-button-outlined.p-button-help:not(:disabled):hover {\n    background: ").concat(dt3("button.outlined.help.hover.background"), ";\n    border-color: ").concat(dt3("button.outlined.help.border.color"), ";\n    color: ").concat(dt3("button.outlined.help.color"), ";\n}\n\n.p-button-outlined.p-button-help:not(:disabled):active {\n    background: ").concat(dt3("button.outlined.help.active.background"), ";\n    border-color: ").concat(dt3("button.outlined.help.border.color"), ";\n    color: ").concat(dt3("button.outlined.help.color"), ";\n}\n\n.p-button-outlined.p-button-danger {\n    border-color: ").concat(dt3("button.outlined.danger.border.color"), ";\n    color: ").concat(dt3("button.outlined.danger.color"), ";\n}\n\n.p-button-outlined.p-button-danger:not(:disabled):hover {\n    background: ").concat(dt3("button.outlined.danger.hover.background"), ";\n    border-color: ").concat(dt3("button.outlined.danger.border.color"), ";\n    color: ").concat(dt3("button.outlined.danger.color"), ";\n}\n\n.p-button-outlined.p-button-danger:not(:disabled):active {\n    background: ").concat(dt3("button.outlined.danger.active.background"), ";\n    border-color: ").concat(dt3("button.outlined.danger.border.color"), ";\n    color: ").concat(dt3("button.outlined.danger.color"), ";\n}\n\n.p-button-outlined.p-button-contrast {\n    border-color: ").concat(dt3("button.outlined.contrast.border.color"), ";\n    color: ").concat(dt3("button.outlined.contrast.color"), ";\n}\n\n.p-button-outlined.p-button-contrast:not(:disabled):hover {\n    background: ").concat(dt3("button.outlined.contrast.hover.background"), ";\n    border-color: ").concat(dt3("button.outlined.contrast.border.color"), ";\n    color: ").concat(dt3("button.outlined.contrast.color"), ";\n}\n\n.p-button-outlined.p-button-contrast:not(:disabled):active {\n    background: ").concat(dt3("button.outlined.contrast.active.background"), ";\n    border-color: ").concat(dt3("button.outlined.contrast.border.color"), ";\n    color: ").concat(dt3("button.outlined.contrast.color"), ";\n}\n\n.p-button-outlined.p-button-plain {\n    border-color: ").concat(dt3("button.outlined.plain.border.color"), ";\n    color: ").concat(dt3("button.outlined.plain.color"), ";\n}\n\n.p-button-outlined.p-button-plain:not(:disabled):hover {\n    background: ").concat(dt3("button.outlined.plain.hover.background"), ";\n    border-color: ").concat(dt3("button.outlined.plain.border.color"), ";\n    color: ").concat(dt3("button.outlined.plain.color"), ";\n}\n\n.p-button-outlined.p-button-plain:not(:disabled):active {\n    background: ").concat(dt3("button.outlined.plain.active.background"), ";\n    border-color: ").concat(dt3("button.outlined.plain.border.color"), ";\n    color: ").concat(dt3("button.outlined.plain.color"), ";\n}\n\n.p-button-text {\n    background: transparent;\n    border-color: transparent;\n    color: ").concat(dt3("button.text.primary.color"), ";\n}\n\n.p-button-text:not(:disabled):hover {\n    background: ").concat(dt3("button.text.primary.hover.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.primary.color"), ";\n}\n\n.p-button-text:not(:disabled):active {\n    background: ").concat(dt3("button.text.primary.active.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.primary.color"), ";\n}\n\n.p-button-text.p-button-secondary {\n    background: transparent;\n    border-color: transparent;\n    color: ").concat(dt3("button.text.secondary.color"), ";\n}\n\n.p-button-text.p-button-secondary:not(:disabled):hover {\n    background: ").concat(dt3("button.text.secondary.hover.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.secondary.color"), ";\n}\n\n.p-button-text.p-button-secondary:not(:disabled):active {\n    background: ").concat(dt3("button.text.secondary.active.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.secondary.color"), ";\n}\n\n.p-button-text.p-button-success {\n    background: transparent;\n    border-color: transparent;\n    color: ").concat(dt3("button.text.success.color"), ";\n}\n\n.p-button-text.p-button-success:not(:disabled):hover {\n    background: ").concat(dt3("button.text.success.hover.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.success.color"), ";\n}\n\n.p-button-text.p-button-success:not(:disabled):active {\n    background: ").concat(dt3("button.text.success.active.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.success.color"), ";\n}\n\n.p-button-text.p-button-info {\n    background: transparent;\n    border-color: transparent;\n    color: ").concat(dt3("button.text.info.color"), ";\n}\n\n.p-button-text.p-button-info:not(:disabled):hover {\n    background: ").concat(dt3("button.text.info.hover.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.info.color"), ";\n}\n\n.p-button-text.p-button-info:not(:disabled):active {\n    background: ").concat(dt3("button.text.info.active.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.info.color"), ";\n}\n\n.p-button-text.p-button-warn {\n    background: transparent;\n    border-color: transparent;\n    color: ").concat(dt3("button.text.warn.color"), ";\n}\n\n.p-button-text.p-button-warn:not(:disabled):hover {\n    background: ").concat(dt3("button.text.warn.hover.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.warn.color"), ";\n}\n\n.p-button-text.p-button-warn:not(:disabled):active {\n    background: ").concat(dt3("button.text.warn.active.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.warn.color"), ";\n}\n\n.p-button-text.p-button-help {\n    background: transparent;\n    border-color: transparent;\n    color: ").concat(dt3("button.text.help.color"), ";\n}\n\n.p-button-text.p-button-help:not(:disabled):hover {\n    background: ").concat(dt3("button.text.help.hover.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.help.color"), ";\n}\n\n.p-button-text.p-button-help:not(:disabled):active {\n    background: ").concat(dt3("button.text.help.active.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.help.color"), ";\n}\n\n.p-button-text.p-button-danger {\n    background: transparent;\n    border-color: transparent;\n    color: ").concat(dt3("button.text.danger.color"), ";\n}\n\n.p-button-text.p-button-danger:not(:disabled):hover {\n    background: ").concat(dt3("button.text.danger.hover.background"), ";\n    border-color: transparent;\n    color: ").concat(dt3("button.text.danger.color"), ";\n}\n\n.p-button-text.p-button-danger:not(:disabled):active {\n    background: ").concat(dt3("button.text.danger.active.background"), 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+}, "theme");
+var classes$s = {
+  root: /* @__PURE__ */ __name(function root4(_ref2) {
+    var instance = _ref2.instance, props = _ref2.props;
+    return ["p-button p-component", _defineProperty$b(_defineProperty$b(_defineProperty$b(_defineProperty$b(_defineProperty$b(_defineProperty$b(_defineProperty$b(_defineProperty$b(_defineProperty$b({
+      "p-button-icon-only": instance.hasIcon && !props.label && !props.badge,
+      "p-button-vertical": (props.iconPos === "top" || props.iconPos === "bottom") && props.label,
+      "p-button-loading": props.loading,
+      "p-button-link": props.link
+    }, "p-button-".concat(props.severity), props.severity), "p-button-raised", props.raised), "p-button-rounded", props.rounded), "p-button-text", props.text), "p-button-outlined", props.outlined), "p-button-sm", props.size === "small"), "p-button-lg", props.size === "large"), "p-button-plain", props.plain), "p-button-fluid", props.fluid)];
+  }, "root"),
+  loadingIcon: "p-button-loading-icon",
+  icon: /* @__PURE__ */ __name(function icon(_ref4) {
+    var props = _ref4.props;
+    return ["p-button-icon", _defineProperty$b({}, "p-button-icon-".concat(props.iconPos), props.label)];
+  }, "icon"),
+  label: "p-button-label"
+};
+var ButtonStyle = BaseStyle.extend({
+  name: "button",
+  theme: theme$p,
+  classes: classes$s
+});
+var script$1$s = {
+  name: "BaseButton",
+  "extends": script$X,
+  props: {
+    label: {
+      type: String,
+      "default": null
+    },
+    icon: {
+      type: String,
+      "default": null
+    },
+    iconPos: {
+      type: String,
+      "default": "left"
+    },
+    iconClass: {
+      type: String,
+      "default": null
+    },
+    badge: {
+      type: String,
+      "default": null
+    },
+    badgeClass: {
+      type: String,
+      "default": null
+    },
+    badgeSeverity: {
+      type: String,
+      "default": "secondary"
+    },
+    loading: {
+      type: Boolean,
+      "default": false
+    },
+    loadingIcon: {
+      type: String,
+      "default": void 0
+    },
+    as: {
+      type: String,
+      "default": "BUTTON"
+    },
+    asChild: {
+      type: Boolean,
+      "default": false
+    },
+    link: {
+      type: Boolean,
+      "default": false
+    },
+    severity: {
+      type: String,
+      "default": null
+    },
+    raised: {
+      type: Boolean,
+      "default": false
+    },
+    rounded: {
+      type: Boolean,
+      "default": false
+    },
+    text: {
+      type: Boolean,
+      "default": false
+    },
+    outlined: {
+      type: Boolean,
+      "default": false
+    },
+    size: {
+      type: String,
+      "default": null
+    },
+    plain: {
+      type: Boolean,
+      "default": false
+    },
+    fluid: {
+      type: Boolean,
+      "default": false
+    }
+  },
+  style: ButtonStyle,
+  provide: /* @__PURE__ */ __name(function provide11() {
+    return {
+      $pcButton: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$J = {
+  name: "Button",
+  "extends": script$1$s,
+  inheritAttrs: false,
+  methods: {
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions3(key) {
+      var _ptm = key === "root" ? this.ptmi : this.ptm;
+      return _ptm(key, {
+        context: {
+          disabled: this.disabled
+        }
+      });
+    }, "getPTOptions")
+  },
+  computed: {
+    disabled: /* @__PURE__ */ __name(function disabled() {
+      return this.$attrs.disabled || this.$attrs.disabled === "" || this.loading;
+    }, "disabled"),
+    defaultAriaLabel: /* @__PURE__ */ __name(function defaultAriaLabel() {
+      return this.label ? this.label + (this.badge ? " " + this.badge : "") : this.$attrs.ariaLabel;
+    }, "defaultAriaLabel"),
+    hasIcon: /* @__PURE__ */ __name(function hasIcon() {
+      return this.icon || this.$slots.icon;
+    }, "hasIcon"),
+    attrs: /* @__PURE__ */ __name(function attrs() {
+      return mergeProps(this.asAttrs, this.a11yAttrs, this.getPTOptions("root"));
+    }, "attrs"),
+    asAttrs: /* @__PURE__ */ __name(function asAttrs() {
+      return this.as === "BUTTON" ? {
+        type: "button",
+        disabled: this.disabled
+      } : void 0;
+    }, "asAttrs"),
+    a11yAttrs: /* @__PURE__ */ __name(function a11yAttrs() {
+      return {
+        "aria-label": this.defaultAriaLabel,
+        "data-pc-name": "button",
+        "data-p-disabled": this.disabled,
+        "data-p-severity": this.severity
+      };
+    }, "a11yAttrs")
+  },
+  components: {
+    SpinnerIcon: script$N,
+    Badge: script$K
+  },
+  directives: {
+    ripple: Ripple
+  }
+};
+function render$I(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_SpinnerIcon = resolveComponent("SpinnerIcon");
+  var _component_Badge = resolveComponent("Badge");
+  var _directive_ripple = resolveDirective("ripple");
+  return !_ctx.asChild ? withDirectives((openBlock(), createBlock(resolveDynamicComponent(_ctx.as), mergeProps({
+    key: 0,
+    "class": _ctx.cx("root")
+  }, $options.attrs), {
+    "default": withCtx(function() {
+      return [renderSlot(_ctx.$slots, "default", {}, function() {
+        return [_ctx.loading ? renderSlot(_ctx.$slots, "loadingicon", {
+          key: 0,
+          "class": normalizeClass([_ctx.cx("loadingIcon"), _ctx.cx("icon")])
+        }, function() {
+          return [_ctx.loadingIcon ? (openBlock(), createElementBlock("span", mergeProps({
+            key: 0,
+            "class": [_ctx.cx("loadingIcon"), _ctx.cx("icon"), _ctx.loadingIcon]
+          }, _ctx.ptm("loadingIcon")), null, 16)) : (openBlock(), createBlock(_component_SpinnerIcon, mergeProps({
+            key: 1,
+            "class": [_ctx.cx("loadingIcon"), _ctx.cx("icon")],
+            spin: ""
+          }, _ctx.ptm("loadingIcon")), null, 16, ["class"]))];
+        }) : renderSlot(_ctx.$slots, "icon", {
+          key: 1,
+          "class": normalizeClass([_ctx.cx("icon")])
+        }, function() {
+          return [_ctx.icon ? (openBlock(), createElementBlock("span", mergeProps({
+            key: 0,
+            "class": [_ctx.cx("icon"), _ctx.icon, _ctx.iconClass]
+          }, _ctx.ptm("icon")), null, 16)) : createCommentVNode("", true)];
+        }), createBaseVNode("span", mergeProps({
+          "class": _ctx.cx("label")
+        }, _ctx.ptm("label")), toDisplayString$1(_ctx.label || " "), 17), _ctx.badge ? (openBlock(), createBlock(_component_Badge, mergeProps({
+          key: 2,
+          value: _ctx.badge,
+          "class": _ctx.badgeClass,
+          severity: _ctx.badgeSeverity,
+          unstyled: _ctx.unstyled
+        }, _ctx.ptm("pcBadge")), null, 16, ["value", "class", "severity", "unstyled"])) : createCommentVNode("", true)];
+      })];
+    }),
+    _: 3
+  }, 16, ["class"])), [[_directive_ripple]]) : renderSlot(_ctx.$slots, "default", {
+    key: 1,
+    "class": normalizeClass(_ctx.cx("root")),
+    a11yAttrs: $options.a11yAttrs
+  });
+}
+__name(render$I, "render$I");
+script$J.render = render$I;
+const _withScopeId$m = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-0a88b934"), n = n(), popScopeId(), n), "_withScopeId$m");
+const _hoisted_1$W = { class: "comfy-missing-nodes" };
+const _hoisted_2$I = /* @__PURE__ */ _withScopeId$m(() => /* @__PURE__ */ createBaseVNode("h4", { class: "warning-title" }, "Warning: Missing Node Types", -1));
+const _hoisted_3$k = /* @__PURE__ */ _withScopeId$m(() => /* @__PURE__ */ createBaseVNode("p", { class: "warning-description" }, " When loading the graph, the following node types were not found: ", -1));
+const _hoisted_4$e = { class: "missing-node-item" };
+const _hoisted_5$9 = { class: "node-type" };
+const _hoisted_6$8 = {
+  key: 0,
+  class: "node-hint"
+};
+const _hoisted_7$6 = {
+  key: 0,
+  class: "added-nodes-warning"
+};
+const _sfc_main$D = /* @__PURE__ */ defineComponent({
+  __name: "LoadWorkflowWarning",
+  props: {
+    missingNodeTypes: {},
+    hasAddedNodes: { type: Boolean },
+    maximized: { type: Boolean }
+  },
+  setup(__props) {
+    const props = __props;
+    const uniqueNodes = computed(() => {
+      const seenTypes = /* @__PURE__ */ new Set();
+      return props.missingNodeTypes.filter((node3) => {
+        const type = typeof node3 === "object" ? node3.type : node3;
+        if (seenTypes.has(type)) return false;
+        seenTypes.add(type);
+        return true;
+      }).map((node3) => {
+        if (typeof node3 === "object") {
+          return {
+            label: node3.type,
+            hint: node3.hint,
+            action: node3.action
+          };
+        }
+        return { label: node3 };
+      });
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", _hoisted_1$W, [
+        _hoisted_2$I,
+        _hoisted_3$k,
+        createVNode(unref(script$L), {
+          options: uniqueNodes.value,
+          optionLabel: "label",
+          scrollHeight: "100%",
+          class: normalizeClass("missing-nodes-list" + (props.maximized ? " maximized" : "")),
+          pt: {
+            list: { class: "border-none" }
+          }
+        }, {
+          option: withCtx((slotProps) => [
+            createBaseVNode("div", _hoisted_4$e, [
+              createBaseVNode("span", _hoisted_5$9, toDisplayString$1(slotProps.option.label), 1),
+              slotProps.option.hint ? (openBlock(), createElementBlock("span", _hoisted_6$8, toDisplayString$1(slotProps.option.hint), 1)) : createCommentVNode("", true),
+              slotProps.option.action ? (openBlock(), createBlock(unref(script$J), {
+                key: 1,
+                onClick: slotProps.option.action.callback,
+                label: slotProps.option.action.text,
+                class: "p-button-sm p-button-outlined"
+              }, null, 8, ["onClick", "label"])) : createCommentVNode("", true)
+            ])
+          ]),
+          _: 1
+        }, 8, ["options", "class"]),
+        _ctx.hasAddedNodes ? (openBlock(), createElementBlock("p", _hoisted_7$6, " Nodes that have failed to load will show as red on the graph. ")) : createCommentVNode("", true)
+      ]);
+    };
+  }
+});
+const _export_sfc = /* @__PURE__ */ __name((sfc, props) => {
+  const target = sfc.__vccOpts || sfc;
+  for (const [key, val] of props) {
+    target[key] = val;
+  }
+  return target;
+}, "_export_sfc");
+const LoadWorkflowWarning = /* @__PURE__ */ _export_sfc(_sfc_main$D, [["__scopeId", "data-v-0a88b934"]]);
+const _withScopeId$l = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-a71fe7ef"), n = n(), popScopeId(), n), "_withScopeId$l");
+const _hoisted_1$V = { class: "comfy-missing-models" };
+const _hoisted_2$H = /* @__PURE__ */ _withScopeId$l(() => /* @__PURE__ */ createBaseVNode("h4", { class: "warning-title" }, "Warning: Missing Models", -1));
+const _hoisted_3$j = /* @__PURE__ */ _withScopeId$l(() => /* @__PURE__ */ createBaseVNode("p", { class: "warning-description" }, " When loading the graph, the following models were not found: ", -1));
+const _hoisted_4$d = { class: "model-info" };
+const _hoisted_5$8 = { class: "model-details" };
+const _hoisted_6$7 = ["title"];
+const _hoisted_7$5 = {
+  key: 0,
+  class: "model-error"
+};
+const _hoisted_8$4 = { class: "model-action" };
+const _hoisted_9$3 = {
+  key: 1,
+  class: "download-progress"
+};
+const _hoisted_10$2 = { class: "progress-text" };
+const _hoisted_11$2 = {
+  key: 2,
+  class: "download-complete"
+};
+const _hoisted_12$2 = /* @__PURE__ */ _withScopeId$l(() => /* @__PURE__ */ createBaseVNode("i", {
+  class: "pi pi-check",
+  style: { "color": "var(--green-500)" }
+}, null, -1));
+const _hoisted_13$1 = [
+  _hoisted_12$2
+];
+const _hoisted_14$1 = {
+  key: 3,
+  class: "download-error"
+};
+const _hoisted_15$1 = /* @__PURE__ */ _withScopeId$l(() => /* @__PURE__ */ createBaseVNode("i", {
+  class: "pi pi-times",
+  style: { "color": "var(--red-600)" }
+}, null, -1));
+const _hoisted_16$1 = [
+  _hoisted_15$1
+];
+const _sfc_main$C = /* @__PURE__ */ defineComponent({
+  __name: "MissingModelsWarning",
+  props: {
+    missingModels: {},
+    maximized: { type: Boolean }
+  },
+  setup(__props) {
+    const settingStore = useSettingStore();
+    const allowedSources = settingStore.get(
+      "Comfy.Workflow.ModelDownload.AllowedSources"
+    );
+    const allowedSuffixes = settingStore.get(
+      "Comfy.Workflow.ModelDownload.AllowedSuffixes"
+    );
+    const props = __props;
+    const modelDownloads = ref({});
+    let lastModel = null;
+    const handleDownloadProgress = /* @__PURE__ */ __name((detail) => {
+      if (detail.download_path) {
+        lastModel = detail.download_path.split("/", 2)[1];
+      }
+      if (!lastModel) return;
+      if (detail.status === "in_progress") {
+        modelDownloads.value[lastModel] = {
+          ...modelDownloads.value[lastModel],
+          downloading: true,
+          progress: detail.progress_percentage,
+          completed: false
+        };
+      } else if (detail.status === "pending") {
+        modelDownloads.value[lastModel] = {
+          ...modelDownloads.value[lastModel],
+          downloading: true,
+          progress: 0,
+          completed: false
+        };
+      } else if (detail.status === "completed") {
+        modelDownloads.value[lastModel] = {
+          ...modelDownloads.value[lastModel],
+          downloading: false,
+          progress: 100,
+          completed: true
+        };
+      } else if (detail.status === "error") {
+        modelDownloads.value[lastModel] = {
+          ...modelDownloads.value[lastModel],
+          downloading: false,
+          progress: 0,
+          error: detail.message,
+          completed: false
+        };
+      }
+    }, "handleDownloadProgress");
+    const triggerDownload = /* @__PURE__ */ __name(async (url, directory, filename) => {
+      modelDownloads.value[filename] = {
+        name: filename,
+        directory,
+        url,
+        downloading: true,
+        progress: 0
+      };
+      const download2 = await api.internalDownloadModel(url, directory, filename, 1);
+      handleDownloadProgress(download2);
+    }, "triggerDownload");
+    api.addEventListener("download_progress", (event2) => {
+      handleDownloadProgress(event2.detail);
+    });
+    const missingModels = computed(() => {
+      return props.missingModels.map((model) => {
+        const downloadInfo = modelDownloads.value[model.name];
+        if (!allowedSources.some((source) => model.url.startsWith(source))) {
+          return {
+            label: `${model.directory} / ${model.name}`,
+            hint: model.url,
+            error: "Download not allowed from this source: " + allowedSources.join(", ")
+          };
+        }
+        if (!allowedSuffixes.some((suffix2) => model.name.endsWith(suffix2))) {
+          return {
+            label: `${model.directory} / ${model.name}`,
+            hint: model.url,
+            error: "Only allowed suffixes are " + allowedSuffixes.join(", ")
+          };
+        }
+        if (model.directory_invalid) {
+          return {
+            label: `${model.directory} / ${model.name}`,
+            hint: model.url,
+            error: "Invalid directory specified (does this require custom nodes?)"
+          };
+        }
+        return {
+          label: `${model.directory} / ${model.name}`,
+          hint: model.url,
+          downloading: downloadInfo?.downloading ?? false,
+          completed: downloadInfo?.completed ?? false,
+          progress: downloadInfo?.progress ?? 0,
+          error: downloadInfo?.error,
+          action: {
+            text: "Download",
+            callback: /* @__PURE__ */ __name(() => triggerDownload(model.url, model.directory, model.name), "callback")
+          }
+        };
+      });
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", _hoisted_1$V, [
+        _hoisted_2$H,
+        _hoisted_3$j,
+        createVNode(unref(script$L), {
+          options: missingModels.value,
+          optionLabel: "label",
+          scrollHeight: "100%",
+          class: normalizeClass("missing-models-list" + (props.maximized ? " maximized" : "")),
+          pt: {
+            list: { class: "border-none" }
+          }
+        }, {
+          option: withCtx((slotProps) => [
+            createBaseVNode("div", {
+              class: "missing-model-item",
+              style: normalizeStyle({ "--progress": `${slotProps.option.progress}%` })
+            }, [
+              createBaseVNode("div", _hoisted_4$d, [
+                createBaseVNode("div", _hoisted_5$8, [
+                  createBaseVNode("span", {
+                    class: "model-type",
+                    title: slotProps.option.hint
+                  }, toDisplayString$1(slotProps.option.label), 9, _hoisted_6$7)
+                ]),
+                slotProps.option.error ? (openBlock(), createElementBlock("div", _hoisted_7$5, toDisplayString$1(slotProps.option.error), 1)) : createCommentVNode("", true)
+              ]),
+              createBaseVNode("div", _hoisted_8$4, [
+                slotProps.option.action && !slotProps.option.downloading && !slotProps.option.completed && !slotProps.option.error ? (openBlock(), createBlock(unref(script$J), {
+                  key: 0,
+                  onClick: slotProps.option.action.callback,
+                  label: slotProps.option.action.text,
+                  class: "p-button-sm p-button-outlined model-action-button"
+                }, null, 8, ["onClick", "label"])) : createCommentVNode("", true),
+                slotProps.option.downloading ? (openBlock(), createElementBlock("div", _hoisted_9$3, [
+                  createBaseVNode("span", _hoisted_10$2, toDisplayString$1(slotProps.option.progress.toFixed(2)) + "%", 1)
+                ])) : createCommentVNode("", true),
+                slotProps.option.completed ? (openBlock(), createElementBlock("div", _hoisted_11$2, _hoisted_13$1)) : createCommentVNode("", true),
+                slotProps.option.error ? (openBlock(), createElementBlock("div", _hoisted_14$1, _hoisted_16$1)) : createCommentVNode("", true)
+              ])
+            ], 4)
+          ]),
+          _: 1
+        }, 8, ["options", "class"])
+      ]);
+    };
+  }
+});
+const MissingModelsWarning = /* @__PURE__ */ _export_sfc(_sfc_main$C, [["__scopeId", "data-v-a71fe7ef"]]);
+var theme$o = /* @__PURE__ */ __name(function theme13(_ref) {
+  var dt3 = _ref.dt;
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+      "default": void 0
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+});
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+  "extends": script$X,
+  props: {},
+  style: TabPanelsStyle,
+  provide: /* @__PURE__ */ __name(function provide13() {
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+};
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+var script$1$p = {
+  name: "BaseTabPanel",
+  "extends": script$X,
+  props: {
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+    value: {
+      type: String,
+      "default": void 0
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+    as: {
+      type: String,
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+    },
+    asChild: {
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+    headerProps: null,
+    headerActionProps: null,
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+var theme$m = /* @__PURE__ */ __name(function theme15(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-inputnumber {\n    display: inline-flex;\n    position: relative;\n}\n\n.p-inputnumber-button {\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    flex: 0 0 auto;\n    cursor: pointer;\n    background: ".concat(dt3("inputnumber.button.background"), ";\n    color: ").concat(dt3("inputnumber.button.color"), ";\n    width: ").concat(dt3("inputnumber.button.width"), ";\n    transition: background ").concat(dt3("inputnumber.transition.duration"), ", color ").concat(dt3("inputnumber.transition.duration"), ", border-color ").concat(dt3("inputnumber.transition.duration"), ", outline-color ").concat(dt3("inputnumber.transition.duration"), ";\n}\n\n.p-inputnumber-button:hover {\n    background: ").concat(dt3("inputnumber.button.hover.background"), ";\n    color: ").concat(dt3("inputnumber.button.hover.color"), ";\n}\n\n.p-inputnumber-button:active {\n    background: ").concat(dt3("inputnumber.button.active.background"), ";\n    color: ").concat(dt3("inputnumber.button.active.color"), ";\n}\n\n.p-inputnumber-stacked .p-inputnumber-button {\n    position: relative;\n    border: 0 none;\n}\n\n.p-inputnumber-stacked .p-inputnumber-button-group {\n    display: flex;\n    flex-direction: column;\n    position: absolute;\n    top: 1px;\n    right: 1px;\n    height: calc(100% - 2px);\n}\n\n.p-inputnumber-stacked .p-inputnumber-increment-button {\n    padding: 0;\n    border-top-right-radius: calc(").concat(dt3("inputnumber.button.border.radius"), " - 1px);\n}\n\n.p-inputnumber-stacked .p-inputnumber-decrement-button {\n    padding: 0;\n    border-bottom-right-radius: calc(").concat(dt3("inputnumber.button.border.radius"), " - 1px);\n}\n\n.p-inputnumber-stacked .p-inputnumber-button {\n    flex: 1 1 auto;\n    border: 0 none;\n}\n\n.p-inputnumber-horizontal .p-inputnumber-button {\n    border: 1px solid ").concat(dt3("inputnumber.button.border.color"), ";\n}\n\n.p-inputnumber-horizontal .p-inputnumber-button:hover {\n    border-color: ").concat(dt3("inputnumber.button.hover.border.color"), ";\n}\n\n.p-inputnumber-horizontal .p-inputnumber-button:active {\n    border-color: ").concat(dt3("inputnumber.button.active.border.color"), ";\n}\n\n.p-inputnumber-horizontal .p-inputnumber-increment-button {\n    order: 3;\n    border-top-right-radius: ").concat(dt3("inputnumber.button.border.radius"), ";\n    border-bottom-right-radius: ").concat(dt3("inputnumber.button.border.radius"), ";\n    border-left: 0 none;\n}\n\n.p-inputnumber-horizontal .p-inputnumber-input {\n    order: 2;\n    border-radius: 0;\n}\n\n.p-inputnumber-horizontal .p-inputnumber-decrement-button {\n    order: 1;\n    border-top-left-radius: ").concat(dt3("inputnumber.button.border.radius"), ";\n    border-bottom-left-radius: ").concat(dt3("inputnumber.button.border.radius"), ";\n    border-right: 0 none;\n}\n\n.p-inputnumber-vertical {\n    flex-direction: column;\n}\n\n.p-inputnumber-vertical .p-inputnumber-button {\n    border: 1px solid ").concat(dt3("inputnumber.button.border.color"), ";\n    padding: ").concat(dt3("inputnumber.button.vertical.padding"), "; 0;\n}\n\n.p-inputnumber-vertical .p-inputnumber-button:hover {\n    border-color: ").concat(dt3("inputnumber.button.hover.border.color"), ";\n}\n\n.p-inputnumber-vertical .p-inputnumber-button:active {\n    border-color: ").concat(dt3("inputnumber.button.active.border.color"), ";\n}\n\n.p-inputnumber-vertical .p-inputnumber-increment-button {\n    order: 1;\n    border-top-left-radius: ").concat(dt3("inputnumber.button.border.radius"), ";\n    border-top-right-radius: ").concat(dt3("inputnumber.button.border.radius"), ";\n    width: 100%;\n    border-bottom: 0 none;\n}\n\n.p-inputnumber-vertical .p-inputnumber-input {\n    order: 2;\n    border-radius: 0;\n    text-align: center;\n}\n\n.p-inputnumber-vertical .p-inputnumber-decrement-button {\n    order: 3;\n    border-bottom-left-radius: ").concat(dt3("inputnumber.button.border.radius"), ";\n    border-bottom-right-radius: ").concat(dt3("inputnumber.button.border.radius"), ";\n    width: 100%;\n    border-top: 0 none;\n}\n\n.p-inputnumber-input {\n    flex: 1 1 auto;\n}\n\n.p-inputnumber-fluid {\n    width: 100%;\n}\n\n.p-inputnumber-fluid .p-inputnumber-input {\n    width: 1%;\n}\n\n.p-inputnumber-fluid.p-inputnumber-vertical .p-inputnumber-input {\n    width: 100%;\n}\n");
+}, "theme");
+var classes$n = {
+  root: /* @__PURE__ */ __name(function root9(_ref2) {
+    var instance = _ref2.instance, props = _ref2.props;
+    return ["p-inputnumber p-component p-inputwrapper", {
+      "p-inputwrapper-filled": instance.filled || props.allowEmpty === false,
+      "p-inputwrapper-focus": instance.focused,
+      "p-inputnumber-stacked": props.showButtons && props.buttonLayout === "stacked",
+      "p-inputnumber-horizontal": props.showButtons && props.buttonLayout === "horizontal",
+      "p-inputnumber-vertical": props.showButtons && props.buttonLayout === "vertical",
+      "p-inputnumber-fluid": instance.fluid
+    }];
+  }, "root"),
+  pcInput: "p-inputnumber-input",
+  buttonGroup: "p-inputnumber-button-group",
+  incrementButton: /* @__PURE__ */ __name(function incrementButton(_ref3) {
+    var instance = _ref3.instance, props = _ref3.props;
+    return ["p-inputnumber-button p-inputnumber-increment-button", {
+      "p-disabled": props.showButtons && props.max !== null && instance.maxBoundry()
+    }];
+  }, "incrementButton"),
+  decrementButton: /* @__PURE__ */ __name(function decrementButton(_ref4) {
+    var instance = _ref4.instance, props = _ref4.props;
+    return ["p-inputnumber-button p-inputnumber-decrement-button", {
+      "p-disabled": props.showButtons && props.min !== null && instance.minBoundry()
+    }];
+  }, "decrementButton")
+};
+var InputNumberStyle = BaseStyle.extend({
+  name: "inputnumber",
+  theme: theme$m,
+  classes: classes$n
+});
+var script$1$n = {
+  name: "BaseInputNumber",
+  "extends": script$X,
+  props: {
+    modelValue: {
+      type: Number,
+      "default": null
+    },
+    format: {
+      type: Boolean,
+      "default": true
+    },
+    showButtons: {
+      type: Boolean,
+      "default": false
+    },
+    buttonLayout: {
+      type: String,
+      "default": "stacked"
+    },
+    incrementButtonClass: {
+      type: String,
+      "default": null
+    },
+    decrementButtonClass: {
+      type: String,
+      "default": null
+    },
+    incrementButtonIcon: {
+      type: String,
+      "default": void 0
+    },
+    incrementIcon: {
+      type: String,
+      "default": void 0
+    },
+    decrementButtonIcon: {
+      type: String,
+      "default": void 0
+    },
+    decrementIcon: {
+      type: String,
+      "default": void 0
+    },
+    locale: {
+      type: String,
+      "default": void 0
+    },
+    localeMatcher: {
+      type: String,
+      "default": void 0
+    },
+    mode: {
+      type: String,
+      "default": "decimal"
+    },
+    prefix: {
+      type: String,
+      "default": null
+    },
+    suffix: {
+      type: String,
+      "default": null
+    },
+    currency: {
+      type: String,
+      "default": void 0
+    },
+    currencyDisplay: {
+      type: String,
+      "default": void 0
+    },
+    useGrouping: {
+      type: Boolean,
+      "default": true
+    },
+    minFractionDigits: {
+      type: Number,
+      "default": void 0
+    },
+    maxFractionDigits: {
+      type: Number,
+      "default": void 0
+    },
+    roundingMode: {
+      type: String,
+      "default": "halfExpand",
+      validator: /* @__PURE__ */ __name(function validator2(value3) {
+        return ["ceil", "floor", "expand", "trunc", "halfCeil", "halfFloor", "halfExpand", "halfTrunc", "halfEven"].includes(value3);
+      }, "validator")
+    },
+    min: {
+      type: Number,
+      "default": null
+    },
+    max: {
+      type: Number,
+      "default": null
+    },
+    step: {
+      type: Number,
+      "default": 1
+    },
+    allowEmpty: {
+      type: Boolean,
+      "default": true
+    },
+    highlightOnFocus: {
+      type: Boolean,
+      "default": false
+    },
+    readonly: {
+      type: Boolean,
+      "default": false
+    },
+    variant: {
+      type: String,
+      "default": null
+    },
+    invalid: {
+      type: Boolean,
+      "default": false
+    },
+    disabled: {
+      type: Boolean,
+      "default": false
+    },
+    placeholder: {
+      type: String,
+      "default": null
+    },
+    fluid: {
+      type: Boolean,
+      "default": false
+    },
+    inputId: {
+      type: String,
+      "default": null
+    },
+    inputClass: {
+      type: [String, Object],
+      "default": null
+    },
+    inputStyle: {
+      type: Object,
+      "default": null
+    },
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    }
+  },
+  style: InputNumberStyle,
+  provide: /* @__PURE__ */ __name(function provide16() {
+    return {
+      $pcInputNumber: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+function _typeof$a(o) {
+  "@babel/helpers - typeof";
+  return _typeof$a = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$a(o);
+}
+__name(_typeof$a, "_typeof$a");
+function ownKeys$b(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$b, "ownKeys$b");
+function _objectSpread$b(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$b(Object(t), true).forEach(function(r2) {
+      _defineProperty$a(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$b(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$b, "_objectSpread$b");
+function _defineProperty$a(e, r, t) {
+  return (r = _toPropertyKey$9(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$a, "_defineProperty$a");
+function _toPropertyKey$9(t) {
+  var i2 = _toPrimitive$9(t, "string");
+  return "symbol" == _typeof$a(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$9, "_toPropertyKey$9");
+function _toPrimitive$9(t, r) {
+  if ("object" != _typeof$a(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$a(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$9, "_toPrimitive$9");
+function _toConsumableArray$b(r) {
+  return _arrayWithoutHoles$b(r) || _iterableToArray$b(r) || _unsupportedIterableToArray$d(r) || _nonIterableSpread$b();
+}
+__name(_toConsumableArray$b, "_toConsumableArray$b");
+function _nonIterableSpread$b() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$b, "_nonIterableSpread$b");
+function _unsupportedIterableToArray$d(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$d(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$d(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$d, "_unsupportedIterableToArray$d");
+function _iterableToArray$b(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$b, "_iterableToArray$b");
+function _arrayWithoutHoles$b(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$d(r);
+}
+__name(_arrayWithoutHoles$b, "_arrayWithoutHoles$b");
+function _arrayLikeToArray$d(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$d, "_arrayLikeToArray$d");
+var script$C = {
+  name: "InputNumber",
+  "extends": script$1$n,
+  inheritAttrs: false,
+  emits: ["update:modelValue", "input", "focus", "blur"],
+  numberFormat: null,
+  _numeral: null,
+  _decimal: null,
+  _group: null,
+  _minusSign: null,
+  _currency: null,
+  _suffix: null,
+  _prefix: null,
+  _index: null,
+  groupChar: "",
+  isSpecialChar: null,
+  prefixChar: null,
+  suffixChar: null,
+  timer: null,
+  data: /* @__PURE__ */ __name(function data5() {
+    return {
+      d_modelValue: this.modelValue,
+      focused: false
+    };
+  }, "data"),
+  watch: {
+    modelValue: /* @__PURE__ */ __name(function modelValue(newValue) {
+      this.d_modelValue = newValue;
+    }, "modelValue"),
+    locale: /* @__PURE__ */ __name(function locale(newValue, oldValue) {
+      this.updateConstructParser(newValue, oldValue);
+    }, "locale"),
+    localeMatcher: /* @__PURE__ */ __name(function localeMatcher(newValue, oldValue) {
+      this.updateConstructParser(newValue, oldValue);
+    }, "localeMatcher"),
+    mode: /* @__PURE__ */ __name(function mode(newValue, oldValue) {
+      this.updateConstructParser(newValue, oldValue);
+    }, "mode"),
+    currency: /* @__PURE__ */ __name(function currency(newValue, oldValue) {
+      this.updateConstructParser(newValue, oldValue);
+    }, "currency"),
+    currencyDisplay: /* @__PURE__ */ __name(function currencyDisplay(newValue, oldValue) {
+      this.updateConstructParser(newValue, oldValue);
+    }, "currencyDisplay"),
+    useGrouping: /* @__PURE__ */ __name(function useGrouping(newValue, oldValue) {
+      this.updateConstructParser(newValue, oldValue);
+    }, "useGrouping"),
+    minFractionDigits: /* @__PURE__ */ __name(function minFractionDigits(newValue, oldValue) {
+      this.updateConstructParser(newValue, oldValue);
+    }, "minFractionDigits"),
+    maxFractionDigits: /* @__PURE__ */ __name(function maxFractionDigits(newValue, oldValue) {
+      this.updateConstructParser(newValue, oldValue);
+    }, "maxFractionDigits"),
+    suffix: /* @__PURE__ */ __name(function suffix(newValue, oldValue) {
+      this.updateConstructParser(newValue, oldValue);
+    }, "suffix"),
+    prefix: /* @__PURE__ */ __name(function prefix(newValue, oldValue) {
+      this.updateConstructParser(newValue, oldValue);
+    }, "prefix")
+  },
+  created: /* @__PURE__ */ __name(function created2() {
+    this.constructParser();
+  }, "created"),
+  methods: {
+    getOptions: /* @__PURE__ */ __name(function getOptions3() {
+      return {
+        localeMatcher: this.localeMatcher,
+        style: this.mode,
+        currency: this.currency,
+        currencyDisplay: this.currencyDisplay,
+        useGrouping: this.useGrouping,
+        minimumFractionDigits: this.minFractionDigits,
+        maximumFractionDigits: this.maxFractionDigits,
+        roundingMode: this.roundingMode
+      };
+    }, "getOptions"),
+    constructParser: /* @__PURE__ */ __name(function constructParser() {
+      this.numberFormat = new Intl.NumberFormat(this.locale, this.getOptions());
+      var numerals = _toConsumableArray$b(new Intl.NumberFormat(this.locale, {
+        useGrouping: false
+      }).format(9876543210)).reverse();
+      var index2 = new Map(numerals.map(function(d, i2) {
+        return [d, i2];
+      }));
+      this._numeral = new RegExp("[".concat(numerals.join(""), "]"), "g");
+      this._group = this.getGroupingExpression();
+      this._minusSign = this.getMinusSignExpression();
+      this._currency = this.getCurrencyExpression();
+      this._decimal = this.getDecimalExpression();
+      this._suffix = this.getSuffixExpression();
+      this._prefix = this.getPrefixExpression();
+      this._index = function(d) {
+        return index2.get(d);
+      };
+    }, "constructParser"),
+    updateConstructParser: /* @__PURE__ */ __name(function updateConstructParser(newValue, oldValue) {
+      if (newValue !== oldValue) {
+        this.constructParser();
+      }
+    }, "updateConstructParser"),
+    escapeRegExp: /* @__PURE__ */ __name(function escapeRegExp(text) {
+      return text.replace(/[-[\]{}()*+?.,\\^$|#\s]/g, "\\$&");
+    }, "escapeRegExp"),
+    getDecimalExpression: /* @__PURE__ */ __name(function getDecimalExpression() {
+      var formatter = new Intl.NumberFormat(this.locale, _objectSpread$b(_objectSpread$b({}, this.getOptions()), {}, {
+        useGrouping: false
+      }));
+      return new RegExp("[".concat(formatter.format(1.1).replace(this._currency, "").trim().replace(this._numeral, ""), "]"), "g");
+    }, "getDecimalExpression"),
+    getGroupingExpression: /* @__PURE__ */ __name(function getGroupingExpression() {
+      var formatter = new Intl.NumberFormat(this.locale, {
+        useGrouping: true
+      });
+      this.groupChar = formatter.format(1e6).trim().replace(this._numeral, "").charAt(0);
+      return new RegExp("[".concat(this.groupChar, "]"), "g");
+    }, "getGroupingExpression"),
+    getMinusSignExpression: /* @__PURE__ */ __name(function getMinusSignExpression() {
+      var formatter = new Intl.NumberFormat(this.locale, {
+        useGrouping: false
+      });
+      return new RegExp("[".concat(formatter.format(-1).trim().replace(this._numeral, ""), "]"), "g");
+    }, "getMinusSignExpression"),
+    getCurrencyExpression: /* @__PURE__ */ __name(function getCurrencyExpression() {
+      if (this.currency) {
+        var formatter = new Intl.NumberFormat(this.locale, {
+          style: "currency",
+          currency: this.currency,
+          currencyDisplay: this.currencyDisplay,
+          minimumFractionDigits: 0,
+          maximumFractionDigits: 0,
+          roundingMode: this.roundingMode
+        });
+        return new RegExp("[".concat(formatter.format(1).replace(/\s/g, "").replace(this._numeral, "").replace(this._group, ""), "]"), "g");
+      }
+      return new RegExp("[]", "g");
+    }, "getCurrencyExpression"),
+    getPrefixExpression: /* @__PURE__ */ __name(function getPrefixExpression() {
+      if (this.prefix) {
+        this.prefixChar = this.prefix;
+      } else {
+        var formatter = new Intl.NumberFormat(this.locale, {
+          style: this.mode,
+          currency: this.currency,
+          currencyDisplay: this.currencyDisplay
+        });
+        this.prefixChar = formatter.format(1).split("1")[0];
+      }
+      return new RegExp("".concat(this.escapeRegExp(this.prefixChar || "")), "g");
+    }, "getPrefixExpression"),
+    getSuffixExpression: /* @__PURE__ */ __name(function getSuffixExpression() {
+      if (this.suffix) {
+        this.suffixChar = this.suffix;
+      } else {
+        var formatter = new Intl.NumberFormat(this.locale, {
+          style: this.mode,
+          currency: this.currency,
+          currencyDisplay: this.currencyDisplay,
+          minimumFractionDigits: 0,
+          maximumFractionDigits: 0,
+          roundingMode: this.roundingMode
+        });
+        this.suffixChar = formatter.format(1).split("1")[1];
+      }
+      return new RegExp("".concat(this.escapeRegExp(this.suffixChar || "")), "g");
+    }, "getSuffixExpression"),
+    formatValue: /* @__PURE__ */ __name(function formatValue(value3) {
+      if (value3 != null) {
+        if (value3 === "-") {
+          return value3;
+        }
+        if (this.format) {
+          var formatter = new Intl.NumberFormat(this.locale, this.getOptions());
+          var formattedValue2 = formatter.format(value3);
+          if (this.prefix) {
+            formattedValue2 = this.prefix + formattedValue2;
+          }
+          if (this.suffix) {
+            formattedValue2 = formattedValue2 + this.suffix;
+          }
+          return formattedValue2;
+        }
+        return value3.toString();
+      }
+      return "";
+    }, "formatValue"),
+    parseValue: /* @__PURE__ */ __name(function parseValue2(text) {
+      var filteredText = text.replace(this._suffix, "").replace(this._prefix, "").trim().replace(/\s/g, "").replace(this._currency, "").replace(this._group, "").replace(this._minusSign, "-").replace(this._decimal, ".").replace(this._numeral, this._index);
+      if (filteredText) {
+        if (filteredText === "-")
+          return filteredText;
+        var parsedValue = +filteredText;
+        return isNaN(parsedValue) ? null : parsedValue;
+      }
+      return null;
+    }, "parseValue"),
+    repeat: /* @__PURE__ */ __name(function repeat(event2, interval, dir) {
+      var _this = this;
+      if (this.readonly) {
+        return;
+      }
+      var i2 = interval || 500;
+      this.clearTimer();
+      this.timer = setTimeout(function() {
+        _this.repeat(event2, 40, dir);
+      }, i2);
+      this.spin(event2, dir);
+    }, "repeat"),
+    spin: /* @__PURE__ */ __name(function spin(event2, dir) {
+      if (this.$refs.input) {
+        var step2 = this.step * dir;
+        var currentValue = this.parseValue(this.$refs.input.$el.value) || 0;
+        var newValue = this.validateValue(currentValue + step2);
+        this.updateInput(newValue, null, "spin");
+        this.updateModel(event2, newValue);
+        this.handleOnInput(event2, currentValue, newValue);
+      }
+    }, "spin"),
+    onUpButtonMouseDown: /* @__PURE__ */ __name(function onUpButtonMouseDown(event2) {
+      if (!this.disabled) {
+        this.$refs.input.$el.focus();
+        this.repeat(event2, null, 1);
+        event2.preventDefault();
+      }
+    }, "onUpButtonMouseDown"),
+    onUpButtonMouseUp: /* @__PURE__ */ __name(function onUpButtonMouseUp() {
+      if (!this.disabled) {
+        this.clearTimer();
+      }
+    }, "onUpButtonMouseUp"),
+    onUpButtonMouseLeave: /* @__PURE__ */ __name(function onUpButtonMouseLeave() {
+      if (!this.disabled) {
+        this.clearTimer();
+      }
+    }, "onUpButtonMouseLeave"),
+    onUpButtonKeyUp: /* @__PURE__ */ __name(function onUpButtonKeyUp() {
+      if (!this.disabled) {
+        this.clearTimer();
+      }
+    }, "onUpButtonKeyUp"),
+    onUpButtonKeyDown: /* @__PURE__ */ __name(function onUpButtonKeyDown(event2) {
+      if (event2.code === "Space" || event2.code === "Enter" || event2.code === "NumpadEnter") {
+        this.repeat(event2, null, 1);
+      }
+    }, "onUpButtonKeyDown"),
+    onDownButtonMouseDown: /* @__PURE__ */ __name(function onDownButtonMouseDown(event2) {
+      if (!this.disabled) {
+        this.$refs.input.$el.focus();
+        this.repeat(event2, null, -1);
+        event2.preventDefault();
+      }
+    }, "onDownButtonMouseDown"),
+    onDownButtonMouseUp: /* @__PURE__ */ __name(function onDownButtonMouseUp() {
+      if (!this.disabled) {
+        this.clearTimer();
+      }
+    }, "onDownButtonMouseUp"),
+    onDownButtonMouseLeave: /* @__PURE__ */ __name(function onDownButtonMouseLeave() {
+      if (!this.disabled) {
+        this.clearTimer();
+      }
+    }, "onDownButtonMouseLeave"),
+    onDownButtonKeyUp: /* @__PURE__ */ __name(function onDownButtonKeyUp() {
+      if (!this.disabled) {
+        this.clearTimer();
+      }
+    }, "onDownButtonKeyUp"),
+    onDownButtonKeyDown: /* @__PURE__ */ __name(function onDownButtonKeyDown(event2) {
+      if (event2.code === "Space" || event2.code === "Enter" || event2.code === "NumpadEnter") {
+        this.repeat(event2, null, -1);
+      }
+    }, "onDownButtonKeyDown"),
+    onUserInput: /* @__PURE__ */ __name(function onUserInput() {
+      if (this.isSpecialChar) {
+        this.$refs.input.$el.value = this.lastValue;
+      }
+      this.isSpecialChar = false;
+    }, "onUserInput"),
+    onInputKeyDown: /* @__PURE__ */ __name(function onInputKeyDown(event2) {
+      if (this.readonly) {
+        return;
+      }
+      if (event2.altKey || event2.ctrlKey || event2.metaKey) {
+        this.isSpecialChar = true;
+        this.lastValue = this.$refs.input.$el.value;
+        return;
+      }
+      this.lastValue = event2.target.value;
+      var selectionStart = event2.target.selectionStart;
+      var selectionEnd = event2.target.selectionEnd;
+      var inputValue2 = event2.target.value;
+      var newValueStr = null;
+      switch (event2.code) {
+        case "ArrowUp":
+          this.spin(event2, 1);
+          event2.preventDefault();
+          break;
+        case "ArrowDown":
+          this.spin(event2, -1);
+          event2.preventDefault();
+          break;
+        case "ArrowLeft":
+          if (!this.isNumeralChar(inputValue2.charAt(selectionStart - 1))) {
+            event2.preventDefault();
+          }
+          break;
+        case "ArrowRight":
+          if (!this.isNumeralChar(inputValue2.charAt(selectionStart))) {
+            event2.preventDefault();
+          }
+          break;
+        case "Tab":
+        case "Enter":
+        case "NumpadEnter":
+          newValueStr = this.validateValue(this.parseValue(inputValue2));
+          this.$refs.input.$el.value = this.formatValue(newValueStr);
+          this.$refs.input.$el.setAttribute("aria-valuenow", newValueStr);
+          this.updateModel(event2, newValueStr);
+          break;
+        case "Backspace": {
+          event2.preventDefault();
+          if (selectionStart === selectionEnd) {
+            var deleteChar = inputValue2.charAt(selectionStart - 1);
+            var _this$getDecimalCharI = this.getDecimalCharIndexes(inputValue2), decimalCharIndex = _this$getDecimalCharI.decimalCharIndex, decimalCharIndexWithoutPrefix = _this$getDecimalCharI.decimalCharIndexWithoutPrefix;
+            if (this.isNumeralChar(deleteChar)) {
+              var decimalLength = this.getDecimalLength(inputValue2);
+              if (this._group.test(deleteChar)) {
+                this._group.lastIndex = 0;
+                newValueStr = inputValue2.slice(0, selectionStart - 2) + inputValue2.slice(selectionStart - 1);
+              } else if (this._decimal.test(deleteChar)) {
+                this._decimal.lastIndex = 0;
+                if (decimalLength) {
+                  this.$refs.input.$el.setSelectionRange(selectionStart - 1, selectionStart - 1);
+                } else {
+                  newValueStr = inputValue2.slice(0, selectionStart - 1) + inputValue2.slice(selectionStart);
+                }
+              } else if (decimalCharIndex > 0 && selectionStart > decimalCharIndex) {
+                var insertedText = this.isDecimalMode() && (this.minFractionDigits || 0) < decimalLength ? "" : "0";
+                newValueStr = inputValue2.slice(0, selectionStart - 1) + insertedText + inputValue2.slice(selectionStart);
+              } else if (decimalCharIndexWithoutPrefix === 1) {
+                newValueStr = inputValue2.slice(0, selectionStart - 1) + "0" + inputValue2.slice(selectionStart);
+                newValueStr = this.parseValue(newValueStr) > 0 ? newValueStr : "";
+              } else {
+                newValueStr = inputValue2.slice(0, selectionStart - 1) + inputValue2.slice(selectionStart);
+              }
+            }
+            this.updateValue(event2, newValueStr, null, "delete-single");
+          } else {
+            newValueStr = this.deleteRange(inputValue2, selectionStart, selectionEnd);
+            this.updateValue(event2, newValueStr, null, "delete-range");
+          }
+          break;
+        }
+        case "Delete":
+          event2.preventDefault();
+          if (selectionStart === selectionEnd) {
+            var _deleteChar = inputValue2.charAt(selectionStart);
+            var _this$getDecimalCharI2 = this.getDecimalCharIndexes(inputValue2), _decimalCharIndex = _this$getDecimalCharI2.decimalCharIndex, _decimalCharIndexWithoutPrefix = _this$getDecimalCharI2.decimalCharIndexWithoutPrefix;
+            if (this.isNumeralChar(_deleteChar)) {
+              var _decimalLength = this.getDecimalLength(inputValue2);
+              if (this._group.test(_deleteChar)) {
+                this._group.lastIndex = 0;
+                newValueStr = inputValue2.slice(0, selectionStart) + inputValue2.slice(selectionStart + 2);
+              } else if (this._decimal.test(_deleteChar)) {
+                this._decimal.lastIndex = 0;
+                if (_decimalLength) {
+                  this.$refs.input.$el.setSelectionRange(selectionStart + 1, selectionStart + 1);
+                } else {
+                  newValueStr = inputValue2.slice(0, selectionStart) + inputValue2.slice(selectionStart + 1);
+                }
+              } else if (_decimalCharIndex > 0 && selectionStart > _decimalCharIndex) {
+                var _insertedText = this.isDecimalMode() && (this.minFractionDigits || 0) < _decimalLength ? "" : "0";
+                newValueStr = inputValue2.slice(0, selectionStart) + _insertedText + inputValue2.slice(selectionStart + 1);
+              } else if (_decimalCharIndexWithoutPrefix === 1) {
+                newValueStr = inputValue2.slice(0, selectionStart) + "0" + inputValue2.slice(selectionStart + 1);
+                newValueStr = this.parseValue(newValueStr) > 0 ? newValueStr : "";
+              } else {
+                newValueStr = inputValue2.slice(0, selectionStart) + inputValue2.slice(selectionStart + 1);
+              }
+            }
+            this.updateValue(event2, newValueStr, null, "delete-back-single");
+          } else {
+            newValueStr = this.deleteRange(inputValue2, selectionStart, selectionEnd);
+            this.updateValue(event2, newValueStr, null, "delete-range");
+          }
+          break;
+        case "Home":
+          event2.preventDefault();
+          if (isNotEmpty(this.min)) {
+            this.updateModel(event2, this.min);
+          }
+          break;
+        case "End":
+          event2.preventDefault();
+          if (isNotEmpty(this.max)) {
+            this.updateModel(event2, this.max);
+          }
+          break;
+      }
+    }, "onInputKeyDown"),
+    onInputKeyPress: /* @__PURE__ */ __name(function onInputKeyPress(event2) {
+      if (this.readonly) {
+        return;
+      }
+      var _char = event2.key;
+      var isDecimalSign2 = this.isDecimalSign(_char);
+      var isMinusSign2 = this.isMinusSign(_char);
+      if (event2.code !== "Enter") {
+        event2.preventDefault();
+      }
+      if (Number(_char) >= 0 && Number(_char) <= 9 || isMinusSign2 || isDecimalSign2) {
+        this.insert(event2, _char, {
+          isDecimalSign: isDecimalSign2,
+          isMinusSign: isMinusSign2
+        });
+      }
+    }, "onInputKeyPress"),
+    onPaste: /* @__PURE__ */ __name(function onPaste(event2) {
+      event2.preventDefault();
+      var data24 = (event2.clipboardData || window["clipboardData"]).getData("Text");
+      if (data24) {
+        var filteredData = this.parseValue(data24);
+        if (filteredData != null) {
+          this.insert(event2, filteredData.toString());
+        }
+      }
+    }, "onPaste"),
+    allowMinusSign: /* @__PURE__ */ __name(function allowMinusSign() {
+      return this.min === null || this.min < 0;
+    }, "allowMinusSign"),
+    isMinusSign: /* @__PURE__ */ __name(function isMinusSign(_char2) {
+      if (this._minusSign.test(_char2) || _char2 === "-") {
+        this._minusSign.lastIndex = 0;
+        return true;
+      }
+      return false;
+    }, "isMinusSign"),
+    isDecimalSign: /* @__PURE__ */ __name(function isDecimalSign(_char3) {
+      if (this._decimal.test(_char3)) {
+        this._decimal.lastIndex = 0;
+        return true;
+      }
+      return false;
+    }, "isDecimalSign"),
+    isDecimalMode: /* @__PURE__ */ __name(function isDecimalMode() {
+      return this.mode === "decimal";
+    }, "isDecimalMode"),
+    getDecimalCharIndexes: /* @__PURE__ */ __name(function getDecimalCharIndexes(val) {
+      var decimalCharIndex = val.search(this._decimal);
+      this._decimal.lastIndex = 0;
+      var filteredVal = val.replace(this._prefix, "").trim().replace(/\s/g, "").replace(this._currency, "");
+      var decimalCharIndexWithoutPrefix = filteredVal.search(this._decimal);
+      this._decimal.lastIndex = 0;
+      return {
+        decimalCharIndex,
+        decimalCharIndexWithoutPrefix
+      };
+    }, "getDecimalCharIndexes"),
+    getCharIndexes: /* @__PURE__ */ __name(function getCharIndexes(val) {
+      var decimalCharIndex = val.search(this._decimal);
+      this._decimal.lastIndex = 0;
+      var minusCharIndex = val.search(this._minusSign);
+      this._minusSign.lastIndex = 0;
+      var suffixCharIndex = val.search(this._suffix);
+      this._suffix.lastIndex = 0;
+      var currencyCharIndex = val.search(this._currency);
+      this._currency.lastIndex = 0;
+      return {
+        decimalCharIndex,
+        minusCharIndex,
+        suffixCharIndex,
+        currencyCharIndex
+      };
+    }, "getCharIndexes"),
+    insert: /* @__PURE__ */ __name(function insert(event2, text) {
+      var sign = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {
+        isDecimalSign: false,
+        isMinusSign: false
+      };
+      var minusCharIndexOnText = text.search(this._minusSign);
+      this._minusSign.lastIndex = 0;
+      if (!this.allowMinusSign() && minusCharIndexOnText !== -1) {
+        return;
+      }
+      var selectionStart = this.$refs.input.$el.selectionStart;
+      var selectionEnd = this.$refs.input.$el.selectionEnd;
+      var inputValue2 = this.$refs.input.$el.value.trim();
+      var _this$getCharIndexes = this.getCharIndexes(inputValue2), decimalCharIndex = _this$getCharIndexes.decimalCharIndex, minusCharIndex = _this$getCharIndexes.minusCharIndex, suffixCharIndex = _this$getCharIndexes.suffixCharIndex, currencyCharIndex = _this$getCharIndexes.currencyCharIndex;
+      var newValueStr;
+      if (sign.isMinusSign) {
+        if (selectionStart === 0) {
+          newValueStr = inputValue2;
+          if (minusCharIndex === -1 || selectionEnd !== 0) {
+            newValueStr = this.insertText(inputValue2, text, 0, selectionEnd);
+          }
+          this.updateValue(event2, newValueStr, text, "insert");
+        }
+      } else if (sign.isDecimalSign) {
+        if (decimalCharIndex > 0 && selectionStart === decimalCharIndex) {
+          this.updateValue(event2, inputValue2, text, "insert");
+        } else if (decimalCharIndex > selectionStart && decimalCharIndex < selectionEnd) {
+          newValueStr = this.insertText(inputValue2, text, selectionStart, selectionEnd);
+          this.updateValue(event2, newValueStr, text, "insert");
+        } else if (decimalCharIndex === -1 && this.maxFractionDigits) {
+          newValueStr = this.insertText(inputValue2, text, selectionStart, selectionEnd);
+          this.updateValue(event2, newValueStr, text, "insert");
+        }
+      } else {
+        var maxFractionDigits2 = this.numberFormat.resolvedOptions().maximumFractionDigits;
+        var operation = selectionStart !== selectionEnd ? "range-insert" : "insert";
+        if (decimalCharIndex > 0 && selectionStart > decimalCharIndex) {
+          if (selectionStart + text.length - (decimalCharIndex + 1) <= maxFractionDigits2) {
+            var charIndex = currencyCharIndex >= selectionStart ? currencyCharIndex - 1 : suffixCharIndex >= selectionStart ? suffixCharIndex : inputValue2.length;
+            newValueStr = inputValue2.slice(0, selectionStart) + text + inputValue2.slice(selectionStart + text.length, charIndex) + inputValue2.slice(charIndex);
+            this.updateValue(event2, newValueStr, text, operation);
+          }
+        } else {
+          newValueStr = this.insertText(inputValue2, text, selectionStart, selectionEnd);
+          this.updateValue(event2, newValueStr, text, operation);
+        }
+      }
+    }, "insert"),
+    insertText: /* @__PURE__ */ __name(function insertText(value3, text, start2, end) {
+      var textSplit = text === "." ? text : text.split(".");
+      if (textSplit.length === 2) {
+        var decimalCharIndex = value3.slice(start2, end).search(this._decimal);
+        this._decimal.lastIndex = 0;
+        return decimalCharIndex > 0 ? value3.slice(0, start2) + this.formatValue(text) + value3.slice(end) : this.formatValue(text) || value3;
+      } else if (end - start2 === value3.length) {
+        return this.formatValue(text);
+      } else if (start2 === 0) {
+        return text + value3.slice(end);
+      } else if (end === value3.length) {
+        return value3.slice(0, start2) + text;
+      } else {
+        return value3.slice(0, start2) + text + value3.slice(end);
+      }
+    }, "insertText"),
+    deleteRange: /* @__PURE__ */ __name(function deleteRange(value3, start2, end) {
+      var newValueStr;
+      if (end - start2 === value3.length) newValueStr = "";
+      else if (start2 === 0) newValueStr = value3.slice(end);
+      else if (end === value3.length) newValueStr = value3.slice(0, start2);
+      else newValueStr = value3.slice(0, start2) + value3.slice(end);
+      return newValueStr;
+    }, "deleteRange"),
+    initCursor: /* @__PURE__ */ __name(function initCursor() {
+      var selectionStart = this.$refs.input.$el.selectionStart;
+      var inputValue2 = this.$refs.input.$el.value;
+      var valueLength = inputValue2.length;
+      var index2 = null;
+      var prefixLength = (this.prefixChar || "").length;
+      inputValue2 = inputValue2.replace(this._prefix, "");
+      selectionStart = selectionStart - prefixLength;
+      var _char4 = inputValue2.charAt(selectionStart);
+      if (this.isNumeralChar(_char4)) {
+        return selectionStart + prefixLength;
+      }
+      var i2 = selectionStart - 1;
+      while (i2 >= 0) {
+        _char4 = inputValue2.charAt(i2);
+        if (this.isNumeralChar(_char4)) {
+          index2 = i2 + prefixLength;
+          break;
+        } else {
+          i2--;
+        }
+      }
+      if (index2 !== null) {
+        this.$refs.input.$el.setSelectionRange(index2 + 1, index2 + 1);
+      } else {
+        i2 = selectionStart;
+        while (i2 < valueLength) {
+          _char4 = inputValue2.charAt(i2);
+          if (this.isNumeralChar(_char4)) {
+            index2 = i2 + prefixLength;
+            break;
+          } else {
+            i2++;
+          }
+        }
+        if (index2 !== null) {
+          this.$refs.input.$el.setSelectionRange(index2, index2);
+        }
+      }
+      return index2 || 0;
+    }, "initCursor"),
+    onInputClick: /* @__PURE__ */ __name(function onInputClick() {
+      var currentValue = this.$refs.input.$el.value;
+      if (!this.readonly && currentValue !== getSelection()) {
+        this.initCursor();
+      }
+    }, "onInputClick"),
+    isNumeralChar: /* @__PURE__ */ __name(function isNumeralChar(_char5) {
+      if (_char5.length === 1 && (this._numeral.test(_char5) || this._decimal.test(_char5) || this._group.test(_char5) || this._minusSign.test(_char5))) {
+        this.resetRegex();
+        return true;
+      }
+      return false;
+    }, "isNumeralChar"),
+    resetRegex: /* @__PURE__ */ __name(function resetRegex() {
+      this._numeral.lastIndex = 0;
+      this._decimal.lastIndex = 0;
+      this._group.lastIndex = 0;
+      this._minusSign.lastIndex = 0;
+    }, "resetRegex"),
+    updateValue: /* @__PURE__ */ __name(function updateValue2(event2, valueStr, insertedValueStr, operation) {
+      var currentValue = this.$refs.input.$el.value;
+      var newValue = null;
+      if (valueStr != null) {
+        newValue = this.parseValue(valueStr);
+        newValue = !newValue && !this.allowEmpty ? 0 : newValue;
+        this.updateInput(newValue, insertedValueStr, operation, valueStr);
+        this.handleOnInput(event2, currentValue, newValue);
+      }
+    }, "updateValue"),
+    handleOnInput: /* @__PURE__ */ __name(function handleOnInput(event2, currentValue, newValue) {
+      if (this.isValueChanged(currentValue, newValue)) {
+        this.$emit("input", {
+          originalEvent: event2,
+          value: newValue,
+          formattedValue: currentValue
+        });
+      }
+    }, "handleOnInput"),
+    isValueChanged: /* @__PURE__ */ __name(function isValueChanged(currentValue, newValue) {
+      if (newValue === null && currentValue !== null) {
+        return true;
+      }
+      if (newValue != null) {
+        var parsedCurrentValue = typeof currentValue === "string" ? this.parseValue(currentValue) : currentValue;
+        return newValue !== parsedCurrentValue;
+      }
+      return false;
+    }, "isValueChanged"),
+    validateValue: /* @__PURE__ */ __name(function validateValue(value3) {
+      if (value3 === "-" || value3 == null) {
+        return null;
+      }
+      if (this.min != null && value3 < this.min) {
+        return this.min;
+      }
+      if (this.max != null && value3 > this.max) {
+        return this.max;
+      }
+      return value3;
+    }, "validateValue"),
+    updateInput: /* @__PURE__ */ __name(function updateInput(value3, insertedValueStr, operation, valueStr) {
+      insertedValueStr = insertedValueStr || "";
+      var inputValue2 = this.$refs.input.$el.value;
+      var newValue = this.formatValue(value3);
+      var currentLength = inputValue2.length;
+      if (newValue !== valueStr) {
+        newValue = this.concatValues(newValue, valueStr);
+      }
+      if (currentLength === 0) {
+        this.$refs.input.$el.value = newValue;
+        this.$refs.input.$el.setSelectionRange(0, 0);
+        var index2 = this.initCursor();
+        var selectionEnd = index2 + insertedValueStr.length;
+        this.$refs.input.$el.setSelectionRange(selectionEnd, selectionEnd);
+      } else {
+        var selectionStart = this.$refs.input.$el.selectionStart;
+        var _selectionEnd = this.$refs.input.$el.selectionEnd;
+        this.$refs.input.$el.value = newValue;
+        var newLength = newValue.length;
+        if (operation === "range-insert") {
+          var startValue = this.parseValue((inputValue2 || "").slice(0, selectionStart));
+          var startValueStr = startValue !== null ? startValue.toString() : "";
+          var startExpr = startValueStr.split("").join("(".concat(this.groupChar, ")?"));
+          var sRegex = new RegExp(startExpr, "g");
+          sRegex.test(newValue);
+          var tExpr = insertedValueStr.split("").join("(".concat(this.groupChar, ")?"));
+          var tRegex = new RegExp(tExpr, "g");
+          tRegex.test(newValue.slice(sRegex.lastIndex));
+          _selectionEnd = sRegex.lastIndex + tRegex.lastIndex;
+          this.$refs.input.$el.setSelectionRange(_selectionEnd, _selectionEnd);
+        } else if (newLength === currentLength) {
+          if (operation === "insert" || operation === "delete-back-single") {
+            this.$refs.input.$el.setSelectionRange(_selectionEnd + 1, _selectionEnd + 1);
+          } else if (operation === "delete-single") {
+            this.$refs.input.$el.setSelectionRange(_selectionEnd - 1, _selectionEnd - 1);
+          } else if (operation === "delete-range" || operation === "spin") {
+            this.$refs.input.$el.setSelectionRange(_selectionEnd, _selectionEnd);
+          }
+        } else if (operation === "delete-back-single") {
+          var prevChar = inputValue2.charAt(_selectionEnd - 1);
+          var nextChar = inputValue2.charAt(_selectionEnd);
+          var diff = currentLength - newLength;
+          var isGroupChar = this._group.test(nextChar);
+          if (isGroupChar && diff === 1) {
+            _selectionEnd += 1;
+          } else if (!isGroupChar && this.isNumeralChar(prevChar)) {
+            _selectionEnd += -1 * diff + 1;
+          }
+          this._group.lastIndex = 0;
+          this.$refs.input.$el.setSelectionRange(_selectionEnd, _selectionEnd);
+        } else if (inputValue2 === "-" && operation === "insert") {
+          this.$refs.input.$el.setSelectionRange(0, 0);
+          var _index = this.initCursor();
+          var _selectionEnd2 = _index + insertedValueStr.length + 1;
+          this.$refs.input.$el.setSelectionRange(_selectionEnd2, _selectionEnd2);
+        } else {
+          _selectionEnd = _selectionEnd + (newLength - currentLength);
+          this.$refs.input.$el.setSelectionRange(_selectionEnd, _selectionEnd);
+        }
+      }
+      this.$refs.input.$el.setAttribute("aria-valuenow", value3);
+    }, "updateInput"),
+    concatValues: /* @__PURE__ */ __name(function concatValues(val1, val2) {
+      if (val1 && val2) {
+        var decimalCharIndex = val2.search(this._decimal);
+        this._decimal.lastIndex = 0;
+        if (this.suffixChar) {
+          return decimalCharIndex !== -1 ? val1.replace(this.suffixChar, "").split(this._decimal)[0] + val2.replace(this.suffixChar, "").slice(decimalCharIndex) + this.suffixChar : val1;
+        } else {
+          return decimalCharIndex !== -1 ? val1.split(this._decimal)[0] + val2.slice(decimalCharIndex) : val1;
+        }
+      }
+      return val1;
+    }, "concatValues"),
+    getDecimalLength: /* @__PURE__ */ __name(function getDecimalLength(value3) {
+      if (value3) {
+        var valueSplit = value3.split(this._decimal);
+        if (valueSplit.length === 2) {
+          return valueSplit[1].replace(this._suffix, "").trim().replace(/\s/g, "").replace(this._currency, "").length;
+        }
+      }
+      return 0;
+    }, "getDecimalLength"),
+    updateModel: /* @__PURE__ */ __name(function updateModel2(event2, value3) {
+      this.d_modelValue = value3;
+      this.$emit("update:modelValue", value3);
+    }, "updateModel"),
+    onInputFocus: /* @__PURE__ */ __name(function onInputFocus(event2) {
+      this.focused = true;
+      if (!this.disabled && !this.readonly && this.$refs.input.$el.value !== getSelection() && this.highlightOnFocus) {
+        event2.target.select();
+      }
+      this.$emit("focus", event2);
+    }, "onInputFocus"),
+    onInputBlur: /* @__PURE__ */ __name(function onInputBlur(event2) {
+      this.focused = false;
+      var input = event2.target;
+      var newValue = this.validateValue(this.parseValue(input.value));
+      this.$emit("blur", {
+        originalEvent: event2,
+        value: input.value
+      });
+      input.value = this.formatValue(newValue);
+      input.setAttribute("aria-valuenow", newValue);
+      this.updateModel(event2, newValue);
+      if (!this.disabled && !this.readonly && this.highlightOnFocus) {
+        clearSelection();
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+var OverlayEventBus = EventBus();
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+function render$y(_ctx, _cache, $props, $setup, $data, $options) {
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+    key: 0
+  }) : $data.mounted ? (openBlock(), createBlock(Teleport, {
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+}
+__name(render$y, "render$y");
+script$z.render = render$y;
+var theme$l = /* @__PURE__ */ __name(function theme16(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-select {\n    display: inline-flex;\n    cursor: pointer;\n    position: relative;\n    user-select: none;\n    background: ".concat(dt3("select.background"), ";\n    border: 1px solid ").concat(dt3("select.border.color"), ";\n    transition: background ").concat(dt3("select.transition.duration"), ", color ").concat(dt3("select.transition.duration"), ", border-color ").concat(dt3("select.transition.duration"), ",\n        outline-color ").concat(dt3("select.transition.duration"), ", box-shadow ").concat(dt3("select.transition.duration"), ";\n    border-radius: ").concat(dt3("select.border.radius"), ";\n    outline-color: transparent;\n    box-shadow: ").concat(dt3("select.shadow"), ";\n}\n\n.p-select:not(.p-disabled):hover {\n    border-color: ").concat(dt3("select.hover.border.color"), ";\n}\n\n.p-select:not(.p-disabled).p-focus {\n    border-color: ").concat(dt3("select.focus.border.color"), ";\n    box-shadow: ").concat(dt3("select.focus.ring.shadow"), ";\n    outline: ").concat(dt3("select.focus.ring.width"), " ").concat(dt3("select.focus.ring.style"), " ").concat(dt3("select.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("select.focus.ring.offset"), ";\n}\n\n.p-select.p-variant-filled {\n    background: ").concat(dt3("select.filled.background"), ";\n}\n\n.p-select.p-variant-filled.p-focus {\n    background: ").concat(dt3("select.filled.focus.background"), ";\n}\n\n.p-select.p-invalid {\n    border-color: ").concat(dt3("select.invalid.border.color"), ";\n}\n\n.p-select.p-disabled {\n    opacity: 1;\n    background: ").concat(dt3("select.disabled.background"), ";\n}\n\n.p-select-clear-icon {\n    position: absolute;\n    top: 50%;\n    margin-top: -0.5rem;\n    color: ").concat(dt3("select.clear.icon.color"), ";\n    right: ").concat(dt3("select.dropdown.width"), ";\n}\n\n.p-select-dropdown {\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    flex-shrink: 0;\n    background: transparent;\n    color: ").concat(dt3("select.dropdown.color"), ";\n    width: ").concat(dt3("select.dropdown.width"), ";\n    border-top-right-radius: ").concat(dt3("select.border.radius"), ";\n    border-bottom-right-radius: ").concat(dt3("select.border.radius"), ";\n}\n\n.p-select-label {\n    display: block;\n    white-space: nowrap;\n    overflow: hidden;\n    flex: 1 1 auto;\n    width: 1%;\n    padding: ").concat(dt3("select.padding.y"), " ").concat(dt3("select.padding.x"), ";\n    text-overflow: ellipsis;\n    cursor: pointer;\n    color: ").concat(dt3("select.color"), ";\n    background: transparent;\n    border: 0 none;\n    outline: 0 none;\n}\n\n.p-select-label.p-placeholder {\n    color: ").concat(dt3("select.placeholder.color"), ";\n}\n\n.p-select:has(.p-select-clear-icon) .p-select-label {\n    padding-right: calc(1rem + ").concat(dt3("select.padding.x"), ");\n}\n\n.p-select.p-disabled .p-select-label {\n    color: ").concat(dt3("select.disabled.color"), ";\n}\n\n.p-select-label-empty {\n    overflow: hidden;\n    opacity: 0;\n}\n\ninput.p-select-label {\n    cursor: default;\n}\n\n.p-select .p-select-overlay {\n    min-width: 100%;\n}\n\n.p-select-overlay {\n    position: absolute;\n    top: 0;\n    left: 0;\n    background: ").concat(dt3("select.overlay.background"), ";\n    color: ").concat(dt3("select.overlay.color"), ";\n    border: 1px solid ").concat(dt3("select.overlay.border.color"), ";\n    border-radius: ").concat(dt3("select.overlay.border.radius"), ";\n    box-shadow: ").concat(dt3("select.overlay.shadow"), ";\n}\n\n.p-select-header {\n    padding: ").concat(dt3("select.list.header.padding"), ";\n}\n\n.p-select-filter {\n    width: 100%;\n}\n\n.p-select-list-container {\n    overflow: auto;\n}\n\n.p-select-option-group {\n    cursor: auto;\n    margin: 0;\n    padding: ").concat(dt3("select.option.group.padding"), ";\n    background: ").concat(dt3("select.option.group.background"), ";\n    color: ").concat(dt3("select.option.group.color"), ";\n    font-weight: ").concat(dt3("select.option.group.font.weight"), ";\n}\n\n.p-select-list {\n    margin: 0;\n    padding: 0;\n    list-style-type: none;\n    padding: ").concat(dt3("select.list.padding"), ";\n    gap: ").concat(dt3("select.list.gap"), ";\n    display: flex;\n    flex-direction: column;\n}\n\n.p-select-option {\n    cursor: pointer;\n    font-weight: normal;\n    white-space: nowrap;\n    position: relative;\n    overflow: hidden;\n    display: flex;\n    align-items: center;\n    padding: ").concat(dt3("select.option.padding"), ";\n    border: 0 none;\n    color: ").concat(dt3("select.option.color"), ";\n    background: transparent;\n    transition: background ").concat(dt3("select.transition.duration"), ", color ").concat(dt3("select.transition.duration"), ", border-color ").concat(dt3("select.transition.duration"), ",\n            box-shadow ").concat(dt3("select.transition.duration"), ", outline-color ").concat(dt3("select.transition.duration"), ";\n    border-radius: ").concat(dt3("select.option.border.radius"), ";\n}\n\n.p-select-option:not(.p-select-option-selected):not(.p-disabled).p-focus {\n    background: ").concat(dt3("select.option.focus.background"), ";\n    color: ").concat(dt3("select.option.focus.color"), ";\n}\n\n.p-select-option.p-select-option-selected {\n    background: ").concat(dt3("select.option.selected.background"), ";\n    color: ").concat(dt3("select.option.selected.color"), ";\n}\n\n.p-select-option.p-select-option-selected.p-focus {\n    background: ").concat(dt3("select.option.selected.focus.background"), ";\n    color: ").concat(dt3("select.option.selected.focus.color"), ";\n}\n\n.p-select-option-check-icon {\n    position: relative;\n    margin-inline-start: ").concat(dt3("select.checkmark.gutter.start"), ";\n    margin-inline-end: ").concat(dt3("select.checkmark.gutter.end"), ";\n    color: ").concat(dt3("select.checkmark.color"), ";\n}\n\n.p-select-empty-message {\n    padding: ").concat(dt3("select.empty.message.padding"), ";\n}\n\n.p-select-fluid {\n    display: flex;\n}\n");
+}, "theme");
+var classes$m = {
+  root: /* @__PURE__ */ __name(function root10(_ref2) {
+    var instance = _ref2.instance, props = _ref2.props, state = _ref2.state;
+    return ["p-select p-component p-inputwrapper", {
+      "p-disabled": props.disabled,
+      "p-invalid": props.invalid,
+      "p-variant-filled": props.variant ? props.variant === "filled" : instance.$primevue.config.inputStyle === "filled" || instance.$primevue.config.inputVariant === "filled",
+      "p-focus": state.focused,
+      "p-inputwrapper-filled": instance.hasSelectedOption,
+      "p-inputwrapper-focus": state.focused || state.overlayVisible,
+      "p-select-open": state.overlayVisible,
+      "p-select-fluid": props.fluid
+    }];
+  }, "root"),
+  label: /* @__PURE__ */ __name(function label(_ref3) {
+    var instance = _ref3.instance, props = _ref3.props;
+    return ["p-select-label", {
+      "p-placeholder": !props.editable && instance.label === props.placeholder,
+      "p-select-label-empty": !props.editable && !instance.$slots["value"] && (instance.label === "p-emptylabel" || instance.label.length === 0)
+    }];
+  }, "label"),
+  clearIcon: "p-select-clear-icon",
+  dropdown: "p-select-dropdown",
+  loadingicon: "p-select-loading-icon",
+  dropdownIcon: "p-select-dropdown-icon",
+  overlay: "p-select-overlay p-component",
+  header: "p-select-header",
+  pcFilter: "p-select-filter",
+  listContainer: "p-select-list-container",
+  list: "p-select-list",
+  optionGroup: "p-select-option-group",
+  optionGroupLabel: "p-select-option-group-label",
+  option: /* @__PURE__ */ __name(function option2(_ref4) {
+    var instance = _ref4.instance, props = _ref4.props, state = _ref4.state, _option = _ref4.option, focusedOption = _ref4.focusedOption;
+    return ["p-select-option", {
+      "p-select-option-selected": instance.isSelected(_option) && props.highlightOnSelect,
+      "p-focus": state.focusedOptionIndex === focusedOption,
+      "p-disabled": instance.isOptionDisabled(_option)
+    }];
+  }, "option"),
+  optionLabel: "p-select-option-label",
+  optionCheckIcon: "p-select-option-check-icon",
+  optionBlankIcon: "p-select-option-blank-icon",
+  emptyMessage: "p-select-empty-message"
+};
+var SelectStyle = BaseStyle.extend({
+  name: "select",
+  theme: theme$l,
+  classes: classes$m
+});
+var script$1$m = {
+  name: "BaseSelect",
+  "extends": script$X,
+  props: {
+    modelValue: null,
+    options: Array,
+    optionLabel: [String, Function],
+    optionValue: [String, Function],
+    optionDisabled: [String, Function],
+    optionGroupLabel: [String, Function],
+    optionGroupChildren: [String, Function],
+    scrollHeight: {
+      type: String,
+      "default": "14rem"
+    },
+    filter: Boolean,
+    filterPlaceholder: String,
+    filterLocale: String,
+    filterMatchMode: {
+      type: String,
+      "default": "contains"
+    },
+    filterFields: {
+      type: Array,
+      "default": null
+    },
+    editable: Boolean,
+    placeholder: {
+      type: String,
+      "default": null
+    },
+    variant: {
+      type: String,
+      "default": null
+    },
+    invalid: {
+      type: Boolean,
+      "default": false
+    },
+    disabled: {
+      type: Boolean,
+      "default": false
+    },
+    dataKey: null,
+    showClear: {
+      type: Boolean,
+      "default": false
+    },
+    fluid: {
+      type: Boolean,
+      "default": false
+    },
+    inputId: {
+      type: String,
+      "default": null
+    },
+    inputClass: {
+      type: [String, Object],
+      "default": null
+    },
+    inputStyle: {
+      type: Object,
+      "default": null
+    },
+    labelId: {
+      type: String,
+      "default": null
+    },
+    labelClass: {
+      type: [String, Object],
+      "default": null
+    },
+    labelStyle: {
+      type: Object,
+      "default": null
+    },
+    panelClass: {
+      type: [String, Object],
+      "default": null
+    },
+    overlayStyle: {
+      type: Object,
+      "default": null
+    },
+    overlayClass: {
+      type: [String, Object],
+      "default": null
+    },
+    panelStyle: {
+      type: Object,
+      "default": null
+    },
+    appendTo: {
+      type: [String, Object],
+      "default": "body"
+    },
+    loading: {
+      type: Boolean,
+      "default": false
+    },
+    clearIcon: {
+      type: String,
+      "default": void 0
+    },
+    dropdownIcon: {
+      type: String,
+      "default": void 0
+    },
+    filterIcon: {
+      type: String,
+      "default": void 0
+    },
+    loadingIcon: {
+      type: String,
+      "default": void 0
+    },
+    resetFilterOnHide: {
+      type: Boolean,
+      "default": false
+    },
+    resetFilterOnClear: {
+      type: Boolean,
+      "default": false
+    },
+    virtualScrollerOptions: {
+      type: Object,
+      "default": null
+    },
+    autoOptionFocus: {
+      type: Boolean,
+      "default": false
+    },
+    autoFilterFocus: {
+      type: Boolean,
+      "default": false
+    },
+    selectOnFocus: {
+      type: Boolean,
+      "default": false
+    },
+    focusOnHover: {
+      type: Boolean,
+      "default": true
+    },
+    highlightOnSelect: {
+      type: Boolean,
+      "default": true
+    },
+    checkmark: {
+      type: Boolean,
+      "default": false
+    },
+    filterMessage: {
+      type: String,
+      "default": null
+    },
+    selectionMessage: {
+      type: String,
+      "default": null
+    },
+    emptySelectionMessage: {
+      type: String,
+      "default": null
+    },
+    emptyFilterMessage: {
+      type: String,
+      "default": null
+    },
+    emptyMessage: {
+      type: String,
+      "default": null
+    },
+    tabindex: {
+      type: Number,
+      "default": 0
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    },
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    }
+  },
+  style: SelectStyle,
+  provide: /* @__PURE__ */ __name(function provide17() {
+    return {
+      $pcSelect: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+function _typeof$9(o) {
+  "@babel/helpers - typeof";
+  return _typeof$9 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$9(o);
+}
+__name(_typeof$9, "_typeof$9");
+function _toConsumableArray$a(r) {
+  return _arrayWithoutHoles$a(r) || _iterableToArray$a(r) || _unsupportedIterableToArray$c(r) || _nonIterableSpread$a();
+}
+__name(_toConsumableArray$a, "_toConsumableArray$a");
+function _nonIterableSpread$a() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$a, "_nonIterableSpread$a");
+function _unsupportedIterableToArray$c(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$c(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$c(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$c, "_unsupportedIterableToArray$c");
+function _iterableToArray$a(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$a, "_iterableToArray$a");
+function _arrayWithoutHoles$a(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$c(r);
+}
+__name(_arrayWithoutHoles$a, "_arrayWithoutHoles$a");
+function _arrayLikeToArray$c(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$c, "_arrayLikeToArray$c");
+function ownKeys$a(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$a, "ownKeys$a");
+function _objectSpread$a(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$a(Object(t), true).forEach(function(r2) {
+      _defineProperty$9(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$a(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$a, "_objectSpread$a");
+function _defineProperty$9(e, r, t) {
+  return (r = _toPropertyKey$8(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$9, "_defineProperty$9");
+function _toPropertyKey$8(t) {
+  var i2 = _toPrimitive$8(t, "string");
+  return "symbol" == _typeof$9(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$8, "_toPropertyKey$8");
+function _toPrimitive$8(t, r) {
+  if ("object" != _typeof$9(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$9(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$8, "_toPrimitive$8");
+var script$y = {
+  name: "Select",
+  "extends": script$1$m,
+  inheritAttrs: false,
+  emits: ["update:modelValue", "change", "focus", "blur", "before-show", "before-hide", "show", "hide", "filter"],
+  outsideClickListener: null,
+  scrollHandler: null,
+  resizeListener: null,
+  labelClickListener: null,
+  overlay: null,
+  list: null,
+  virtualScroller: null,
+  searchTimeout: null,
+  searchValue: null,
+  isModelValueChanged: false,
+  data: /* @__PURE__ */ __name(function data7() {
+    return {
+      id: this.$attrs.id,
+      clicked: false,
+      focused: false,
+      focusedOptionIndex: -1,
+      filterValue: null,
+      overlayVisible: false
+    };
+  }, "data"),
+  watch: {
+    "$attrs.id": /* @__PURE__ */ __name(function $attrsId3(newValue) {
+      this.id = newValue || UniqueComponentId();
+    }, "$attrsId"),
+    modelValue: /* @__PURE__ */ __name(function modelValue2() {
+      this.isModelValueChanged = true;
+    }, "modelValue"),
+    options: /* @__PURE__ */ __name(function options2() {
+      this.autoUpdateModel();
+    }, "options")
+  },
+  mounted: /* @__PURE__ */ __name(function mounted7() {
+    this.id = this.id || UniqueComponentId();
+    this.autoUpdateModel();
+    this.bindLabelClickListener();
+  }, "mounted"),
+  updated: /* @__PURE__ */ __name(function updated4() {
+    if (this.overlayVisible && this.isModelValueChanged) {
+      this.scrollInView(this.findSelectedOptionIndex());
+    }
+    this.isModelValueChanged = false;
+  }, "updated"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount2() {
+    this.unbindOutsideClickListener();
+    this.unbindResizeListener();
+    this.unbindLabelClickListener();
+    if (this.scrollHandler) {
+      this.scrollHandler.destroy();
+      this.scrollHandler = null;
+    }
+    if (this.overlay) {
+      ZIndex.clear(this.overlay);
+      this.overlay = null;
+    }
+  }, "beforeUnmount"),
+  methods: {
+    getOptionIndex: /* @__PURE__ */ __name(function getOptionIndex2(index2, fn) {
+      return this.virtualScrollerDisabled ? index2 : fn && fn(index2)["index"];
+    }, "getOptionIndex"),
+    getOptionLabel: /* @__PURE__ */ __name(function getOptionLabel2(option4) {
+      return this.optionLabel ? resolveFieldData(option4, this.optionLabel) : option4;
+    }, "getOptionLabel"),
+    getOptionValue: /* @__PURE__ */ __name(function getOptionValue3(option4) {
+      return this.optionValue ? resolveFieldData(option4, this.optionValue) : option4;
+    }, "getOptionValue"),
+    getOptionRenderKey: /* @__PURE__ */ __name(function getOptionRenderKey2(option4, index2) {
+      return (this.dataKey ? resolveFieldData(option4, this.dataKey) : this.getOptionLabel(option4)) + "_" + index2;
+    }, "getOptionRenderKey"),
+    getPTItemOptions: /* @__PURE__ */ __name(function getPTItemOptions(option4, itemOptions, index2, key) {
+      return this.ptm(key, {
+        context: {
+          option: option4,
+          index: index2,
+          selected: this.isSelected(option4),
+          focused: this.focusedOptionIndex === this.getOptionIndex(index2, itemOptions),
+          disabled: this.isOptionDisabled(option4)
+        }
+      });
+    }, "getPTItemOptions"),
+    isOptionDisabled: /* @__PURE__ */ __name(function isOptionDisabled2(option4) {
+      return this.optionDisabled ? resolveFieldData(option4, this.optionDisabled) : false;
+    }, "isOptionDisabled"),
+    isOptionGroup: /* @__PURE__ */ __name(function isOptionGroup2(option4) {
+      return this.optionGroupLabel && option4.optionGroup && option4.group;
+    }, "isOptionGroup"),
+    getOptionGroupLabel: /* @__PURE__ */ __name(function getOptionGroupLabel2(optionGroup) {
+      return resolveFieldData(optionGroup, this.optionGroupLabel);
+    }, "getOptionGroupLabel"),
+    getOptionGroupChildren: /* @__PURE__ */ __name(function getOptionGroupChildren2(optionGroup) {
+      return resolveFieldData(optionGroup, this.optionGroupChildren);
+    }, "getOptionGroupChildren"),
+    getAriaPosInset: /* @__PURE__ */ __name(function getAriaPosInset2(index2) {
+      var _this = this;
+      return (this.optionGroupLabel ? index2 - this.visibleOptions.slice(0, index2).filter(function(option4) {
+        return _this.isOptionGroup(option4);
+      }).length : index2) + 1;
+    }, "getAriaPosInset"),
+    show: /* @__PURE__ */ __name(function show2(isFocus) {
+      this.$emit("before-show");
+      this.overlayVisible = true;
+      this.focusedOptionIndex = this.focusedOptionIndex !== -1 ? this.focusedOptionIndex : this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : this.editable ? -1 : this.findSelectedOptionIndex();
+      isFocus && focus(this.$refs.focusInput);
+    }, "show"),
+    hide: /* @__PURE__ */ __name(function hide2(isFocus) {
+      var _this2 = this;
+      var _hide = /* @__PURE__ */ __name(function _hide2() {
+        _this2.$emit("before-hide");
+        _this2.overlayVisible = false;
+        _this2.clicked = false;
+        _this2.focusedOptionIndex = -1;
+        _this2.searchValue = "";
+        _this2.resetFilterOnHide && (_this2.filterValue = null);
+        isFocus && focus(_this2.$refs.focusInput);
+      }, "_hide");
+      setTimeout(function() {
+        _hide();
+      }, 0);
+    }, "hide"),
+    onFocus: /* @__PURE__ */ __name(function onFocus2(event2) {
+      if (this.disabled) {
+        return;
+      }
+      this.focused = true;
+      if (this.overlayVisible) {
+        this.focusedOptionIndex = this.focusedOptionIndex !== -1 ? this.focusedOptionIndex : this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : this.editable ? -1 : this.findSelectedOptionIndex();
+        this.scrollInView(this.focusedOptionIndex);
+      }
+      this.$emit("focus", event2);
+    }, "onFocus"),
+    onBlur: /* @__PURE__ */ __name(function onBlur2(event2) {
+      this.focused = false;
+      this.focusedOptionIndex = -1;
+      this.searchValue = "";
+      this.$emit("blur", event2);
+    }, "onBlur"),
+    onKeyDown: /* @__PURE__ */ __name(function onKeyDown2(event2) {
+      if (this.disabled || isAndroid$1()) {
+        event2.preventDefault();
+        return;
+      }
+      var metaKey = event2.metaKey || event2.ctrlKey;
+      switch (event2.code) {
+        case "ArrowDown":
+          this.onArrowDownKey(event2);
+          break;
+        case "ArrowUp":
+          this.onArrowUpKey(event2, this.editable);
+          break;
+        case "ArrowLeft":
+        case "ArrowRight":
+          this.onArrowLeftKey(event2, this.editable);
+          break;
+        case "Home":
+          this.onHomeKey(event2, this.editable);
+          break;
+        case "End":
+          this.onEndKey(event2, this.editable);
+          break;
+        case "PageDown":
+          this.onPageDownKey(event2);
+          break;
+        case "PageUp":
+          this.onPageUpKey(event2);
+          break;
+        case "Space":
+          this.onSpaceKey(event2, this.editable);
+          break;
+        case "Enter":
+        case "NumpadEnter":
+          this.onEnterKey(event2);
+          break;
+        case "Escape":
+          this.onEscapeKey(event2);
+          break;
+        case "Tab":
+          this.onTabKey(event2);
+          break;
+        case "Backspace":
+          this.onBackspaceKey(event2, this.editable);
+          break;
+        case "ShiftLeft":
+        case "ShiftRight":
+          break;
+        default:
+          if (!metaKey && isPrintableCharacter(event2.key)) {
+            !this.overlayVisible && this.show();
+            !this.editable && this.searchOptions(event2, event2.key);
+          }
+          break;
+      }
+      this.clicked = false;
+    }, "onKeyDown"),
+    onEditableInput: /* @__PURE__ */ __name(function onEditableInput(event2) {
+      var value3 = event2.target.value;
+      this.searchValue = "";
+      var matched = this.searchOptions(event2, value3);
+      !matched && (this.focusedOptionIndex = -1);
+      this.updateModel(event2, value3);
+      !this.overlayVisible && isNotEmpty(value3) && this.show();
+    }, "onEditableInput"),
+    onContainerClick: /* @__PURE__ */ __name(function onContainerClick(event2) {
+      if (this.disabled || this.loading) {
+        return;
+      }
+      if (event2.target.tagName === "INPUT" || event2.target.getAttribute("data-pc-section") === "clearicon" || event2.target.closest('[data-pc-section="clearicon"]')) {
+        return;
+      } else if (!this.overlay || !this.overlay.contains(event2.target)) {
+        this.overlayVisible ? this.hide(true) : this.show(true);
+      }
+      this.clicked = true;
+    }, "onContainerClick"),
+    onClearClick: /* @__PURE__ */ __name(function onClearClick(event2) {
+      this.updateModel(event2, null);
+      this.resetFilterOnClear && (this.filterValue = null);
+    }, "onClearClick"),
+    onFirstHiddenFocus: /* @__PURE__ */ __name(function onFirstHiddenFocus2(event2) {
+      var focusableEl = event2.relatedTarget === this.$refs.focusInput ? getFirstFocusableElement(this.overlay, ':not([data-p-hidden-focusable="true"])') : this.$refs.focusInput;
+      focus(focusableEl);
+    }, "onFirstHiddenFocus"),
+    onLastHiddenFocus: /* @__PURE__ */ __name(function onLastHiddenFocus2(event2) {
+      var focusableEl = event2.relatedTarget === this.$refs.focusInput ? getLastFocusableElement(this.overlay, ':not([data-p-hidden-focusable="true"])') : this.$refs.focusInput;
+      focus(focusableEl);
+    }, "onLastHiddenFocus"),
+    onOptionSelect: /* @__PURE__ */ __name(function onOptionSelect2(event2, option4) {
+      var isHide = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : true;
+      var value3 = this.getOptionValue(option4);
+      this.updateModel(event2, value3);
+      isHide && this.hide(true);
+    }, "onOptionSelect"),
+    onOptionMouseMove: /* @__PURE__ */ __name(function onOptionMouseMove2(event2, index2) {
+      if (this.focusOnHover) {
+        this.changeFocusedOptionIndex(event2, index2);
+      }
+    }, "onOptionMouseMove"),
+    onFilterChange: /* @__PURE__ */ __name(function onFilterChange2(event2) {
+      var value3 = event2.target.value;
+      this.filterValue = value3;
+      this.focusedOptionIndex = -1;
+      this.$emit("filter", {
+        originalEvent: event2,
+        value: value3
+      });
+      !this.virtualScrollerDisabled && this.virtualScroller.scrollToIndex(0);
+    }, "onFilterChange"),
+    onFilterKeyDown: /* @__PURE__ */ __name(function onFilterKeyDown2(event2) {
+      switch (event2.code) {
+        case "ArrowDown":
+          this.onArrowDownKey(event2);
+          break;
+        case "ArrowUp":
+          this.onArrowUpKey(event2, true);
+          break;
+        case "ArrowLeft":
+        case "ArrowRight":
+          this.onArrowLeftKey(event2, true);
+          break;
+        case "Home":
+          this.onHomeKey(event2, true);
+          break;
+        case "End":
+          this.onEndKey(event2, true);
+          break;
+        case "Enter":
+        case "NumpadEnter":
+          this.onEnterKey(event2);
+          break;
+        case "Escape":
+          this.onEscapeKey(event2);
+          break;
+        case "Tab":
+          this.onTabKey(event2, true);
+          break;
+      }
+    }, "onFilterKeyDown"),
+    onFilterBlur: /* @__PURE__ */ __name(function onFilterBlur2() {
+      this.focusedOptionIndex = -1;
+    }, "onFilterBlur"),
+    onFilterUpdated: /* @__PURE__ */ __name(function onFilterUpdated() {
+      if (this.overlayVisible) {
+        this.alignOverlay();
+      }
+    }, "onFilterUpdated"),
+    onOverlayClick: /* @__PURE__ */ __name(function onOverlayClick(event2) {
+      OverlayEventBus.emit("overlay-click", {
+        originalEvent: event2,
+        target: this.$el
+      });
+    }, "onOverlayClick"),
+    onOverlayKeyDown: /* @__PURE__ */ __name(function onOverlayKeyDown(event2) {
+      switch (event2.code) {
+        case "Escape":
+          this.onEscapeKey(event2);
+          break;
+      }
+    }, "onOverlayKeyDown"),
+    onArrowDownKey: /* @__PURE__ */ __name(function onArrowDownKey2(event2) {
+      if (!this.overlayVisible) {
+        this.show();
+        this.editable && this.changeFocusedOptionIndex(event2, this.findSelectedOptionIndex());
+      } else {
+        var optionIndex = this.focusedOptionIndex !== -1 ? this.findNextOptionIndex(this.focusedOptionIndex) : this.clicked ? this.findFirstOptionIndex() : this.findFirstFocusedOptionIndex();
+        this.changeFocusedOptionIndex(event2, optionIndex);
+      }
+      event2.preventDefault();
+    }, "onArrowDownKey"),
+    onArrowUpKey: /* @__PURE__ */ __name(function onArrowUpKey2(event2) {
+      var pressedInInputText = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      if (event2.altKey && !pressedInInputText) {
+        if (this.focusedOptionIndex !== -1) {
+          this.onOptionSelect(event2, this.visibleOptions[this.focusedOptionIndex]);
+        }
+        this.overlayVisible && this.hide();
+        event2.preventDefault();
+      } else {
+        var optionIndex = this.focusedOptionIndex !== -1 ? this.findPrevOptionIndex(this.focusedOptionIndex) : this.clicked ? this.findLastOptionIndex() : this.findLastFocusedOptionIndex();
+        this.changeFocusedOptionIndex(event2, optionIndex);
+        !this.overlayVisible && this.show();
+        event2.preventDefault();
+      }
+    }, "onArrowUpKey"),
+    onArrowLeftKey: /* @__PURE__ */ __name(function onArrowLeftKey2(event2) {
+      var pressedInInputText = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      pressedInInputText && (this.focusedOptionIndex = -1);
+    }, "onArrowLeftKey"),
+    onHomeKey: /* @__PURE__ */ __name(function onHomeKey2(event2) {
+      var pressedInInputText = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      if (pressedInInputText) {
+        var target = event2.currentTarget;
+        if (event2.shiftKey) {
+          target.setSelectionRange(0, event2.target.selectionStart);
+        } else {
+          target.setSelectionRange(0, 0);
+          this.focusedOptionIndex = -1;
+        }
+      } else {
+        this.changeFocusedOptionIndex(event2, this.findFirstOptionIndex());
+        !this.overlayVisible && this.show();
+      }
+      event2.preventDefault();
+    }, "onHomeKey"),
+    onEndKey: /* @__PURE__ */ __name(function onEndKey2(event2) {
+      var pressedInInputText = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      if (pressedInInputText) {
+        var target = event2.currentTarget;
+        if (event2.shiftKey) {
+          target.setSelectionRange(event2.target.selectionStart, target.value.length);
+        } else {
+          var len = target.value.length;
+          target.setSelectionRange(len, len);
+          this.focusedOptionIndex = -1;
+        }
+      } else {
+        this.changeFocusedOptionIndex(event2, this.findLastOptionIndex());
+        !this.overlayVisible && this.show();
+      }
+      event2.preventDefault();
+    }, "onEndKey"),
+    onPageUpKey: /* @__PURE__ */ __name(function onPageUpKey2(event2) {
+      this.scrollInView(0);
+      event2.preventDefault();
+    }, "onPageUpKey"),
+    onPageDownKey: /* @__PURE__ */ __name(function onPageDownKey2(event2) {
+      this.scrollInView(this.visibleOptions.length - 1);
+      event2.preventDefault();
+    }, "onPageDownKey"),
+    onEnterKey: /* @__PURE__ */ __name(function onEnterKey2(event2) {
+      if (!this.overlayVisible) {
+        this.focusedOptionIndex = -1;
+        this.onArrowDownKey(event2);
+      } else {
+        if (this.focusedOptionIndex !== -1) {
+          this.onOptionSelect(event2, this.visibleOptions[this.focusedOptionIndex]);
+        }
+        this.hide();
+      }
+      event2.preventDefault();
+    }, "onEnterKey"),
+    onSpaceKey: /* @__PURE__ */ __name(function onSpaceKey2(event2) {
+      var pressedInInputText = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      !pressedInInputText && this.onEnterKey(event2);
+    }, "onSpaceKey"),
+    onEscapeKey: /* @__PURE__ */ __name(function onEscapeKey(event2) {
+      this.overlayVisible && this.hide(true);
+      event2.preventDefault();
+      event2.stopPropagation();
+    }, "onEscapeKey"),
+    onTabKey: /* @__PURE__ */ __name(function onTabKey(event2) {
+      var pressedInInputText = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      if (!pressedInInputText) {
+        if (this.overlayVisible && this.hasFocusableElements()) {
+          focus(this.$refs.firstHiddenFocusableElementOnOverlay);
+          event2.preventDefault();
+        } else {
+          if (this.focusedOptionIndex !== -1) {
+            this.onOptionSelect(event2, this.visibleOptions[this.focusedOptionIndex]);
+          }
+          this.overlayVisible && this.hide(this.filter);
+        }
+      }
+    }, "onTabKey"),
+    onBackspaceKey: /* @__PURE__ */ __name(function onBackspaceKey(event2) {
+      var pressedInInputText = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : false;
+      if (pressedInInputText) {
+        !this.overlayVisible && this.show();
+      }
+    }, "onBackspaceKey"),
+    onOverlayEnter: /* @__PURE__ */ __name(function onOverlayEnter(el) {
+      ZIndex.set("overlay", el, this.$primevue.config.zIndex.overlay);
+      addStyle(el, {
+        position: "absolute",
+        top: "0",
+        left: "0"
+      });
+      this.alignOverlay();
+      this.scrollInView();
+      this.autoFilterFocus && focus(this.$refs.filterInput.$el);
+    }, "onOverlayEnter"),
+    onOverlayAfterEnter: /* @__PURE__ */ __name(function onOverlayAfterEnter() {
+      this.bindOutsideClickListener();
+      this.bindScrollListener();
+      this.bindResizeListener();
+      this.$emit("show");
+    }, "onOverlayAfterEnter"),
+    onOverlayLeave: /* @__PURE__ */ __name(function onOverlayLeave() {
+      this.unbindOutsideClickListener();
+      this.unbindScrollListener();
+      this.unbindResizeListener();
+      this.$emit("hide");
+      this.overlay = null;
+    }, "onOverlayLeave"),
+    onOverlayAfterLeave: /* @__PURE__ */ __name(function onOverlayAfterLeave(el) {
+      ZIndex.clear(el);
+    }, "onOverlayAfterLeave"),
+    alignOverlay: /* @__PURE__ */ __name(function alignOverlay2() {
+      if (this.appendTo === "self") {
+        relativePosition(this.overlay, this.$el);
+      } else {
+        this.overlay.style.minWidth = getOuterWidth(this.$el) + "px";
+        absolutePosition(this.overlay, this.$el);
+      }
+    }, "alignOverlay"),
+    bindOutsideClickListener: /* @__PURE__ */ __name(function bindOutsideClickListener() {
+      var _this3 = this;
+      if (!this.outsideClickListener) {
+        this.outsideClickListener = function(event2) {
+          if (_this3.overlayVisible && _this3.overlay && !_this3.$el.contains(event2.target) && !_this3.overlay.contains(event2.target)) {
+            _this3.hide();
+          }
+        };
+        document.addEventListener("click", this.outsideClickListener);
+      }
+    }, "bindOutsideClickListener"),
+    unbindOutsideClickListener: /* @__PURE__ */ __name(function unbindOutsideClickListener() {
+      if (this.outsideClickListener) {
+        document.removeEventListener("click", this.outsideClickListener);
+        this.outsideClickListener = null;
+      }
+    }, "unbindOutsideClickListener"),
+    bindScrollListener: /* @__PURE__ */ __name(function bindScrollListener2() {
+      var _this4 = this;
+      if (!this.scrollHandler) {
+        this.scrollHandler = new ConnectedOverlayScrollHandler(this.$refs.container, function() {
+          if (_this4.overlayVisible) {
+            _this4.hide();
+          }
+        });
+      }
+      this.scrollHandler.bindScrollListener();
+    }, "bindScrollListener"),
+    unbindScrollListener: /* @__PURE__ */ __name(function unbindScrollListener2() {
+      if (this.scrollHandler) {
+        this.scrollHandler.unbindScrollListener();
+      }
+    }, "unbindScrollListener"),
+    bindResizeListener: /* @__PURE__ */ __name(function bindResizeListener2() {
+      var _this5 = this;
+      if (!this.resizeListener) {
+        this.resizeListener = function() {
+          if (_this5.overlayVisible && !isTouchDevice()) {
+            _this5.hide();
+          }
+        };
+        window.addEventListener("resize", this.resizeListener);
+      }
+    }, "bindResizeListener"),
+    unbindResizeListener: /* @__PURE__ */ __name(function unbindResizeListener2() {
+      if (this.resizeListener) {
+        window.removeEventListener("resize", this.resizeListener);
+        this.resizeListener = null;
+      }
+    }, "unbindResizeListener"),
+    bindLabelClickListener: /* @__PURE__ */ __name(function bindLabelClickListener() {
+      var _this6 = this;
+      if (!this.editable && !this.labelClickListener) {
+        var label5 = document.querySelector('label[for="'.concat(this.inputId, '"]'));
+        if (label5 && isVisible(label5)) {
+          this.labelClickListener = function() {
+            focus(_this6.$refs.focusInput);
+          };
+          label5.addEventListener("click", this.labelClickListener);
+        }
+      }
+    }, "bindLabelClickListener"),
+    unbindLabelClickListener: /* @__PURE__ */ __name(function unbindLabelClickListener() {
+      if (this.labelClickListener) {
+        var label5 = document.querySelector('label[for="'.concat(this.inputId, '"]'));
+        if (label5 && isVisible(label5)) {
+          label5.removeEventListener("click", this.labelClickListener);
+        }
+      }
+    }, "unbindLabelClickListener"),
+    hasFocusableElements: /* @__PURE__ */ __name(function hasFocusableElements() {
+      return getFocusableElements(this.overlay, ':not([data-p-hidden-focusable="true"])').length > 0;
+    }, "hasFocusableElements"),
+    isOptionMatched: /* @__PURE__ */ __name(function isOptionMatched2(option4) {
+      var _this$getOptionLabel;
+      return this.isValidOption(option4) && typeof this.getOptionLabel(option4) === "string" && ((_this$getOptionLabel = this.getOptionLabel(option4)) === null || _this$getOptionLabel === void 0 ? void 0 : _this$getOptionLabel.toLocaleLowerCase(this.filterLocale).startsWith(this.searchValue.toLocaleLowerCase(this.filterLocale)));
+    }, "isOptionMatched"),
+    isValidOption: /* @__PURE__ */ __name(function isValidOption2(option4) {
+      return isNotEmpty(option4) && !(this.isOptionDisabled(option4) || this.isOptionGroup(option4));
+    }, "isValidOption"),
+    isValidSelectedOption: /* @__PURE__ */ __name(function isValidSelectedOption2(option4) {
+      return this.isValidOption(option4) && this.isSelected(option4);
+    }, "isValidSelectedOption"),
+    isSelected: /* @__PURE__ */ __name(function isSelected2(option4) {
+      return this.isValidOption(option4) && equals(this.modelValue, this.getOptionValue(option4), this.equalityKey);
+    }, "isSelected"),
+    findFirstOptionIndex: /* @__PURE__ */ __name(function findFirstOptionIndex2() {
+      var _this7 = this;
+      return this.visibleOptions.findIndex(function(option4) {
+        return _this7.isValidOption(option4);
+      });
+    }, "findFirstOptionIndex"),
+    findLastOptionIndex: /* @__PURE__ */ __name(function findLastOptionIndex2() {
+      var _this8 = this;
+      return findLastIndex(this.visibleOptions, function(option4) {
+        return _this8.isValidOption(option4);
+      });
+    }, "findLastOptionIndex"),
+    findNextOptionIndex: /* @__PURE__ */ __name(function findNextOptionIndex2(index2) {
+      var _this9 = this;
+      var matchedOptionIndex = index2 < this.visibleOptions.length - 1 ? this.visibleOptions.slice(index2 + 1).findIndex(function(option4) {
+        return _this9.isValidOption(option4);
+      }) : -1;
+      return matchedOptionIndex > -1 ? matchedOptionIndex + index2 + 1 : index2;
+    }, "findNextOptionIndex"),
+    findPrevOptionIndex: /* @__PURE__ */ __name(function findPrevOptionIndex2(index2) {
+      var _this10 = this;
+      var matchedOptionIndex = index2 > 0 ? findLastIndex(this.visibleOptions.slice(0, index2), function(option4) {
+        return _this10.isValidOption(option4);
+      }) : -1;
+      return matchedOptionIndex > -1 ? matchedOptionIndex : index2;
+    }, "findPrevOptionIndex"),
+    findSelectedOptionIndex: /* @__PURE__ */ __name(function findSelectedOptionIndex2() {
+      var _this11 = this;
+      return this.hasSelectedOption ? this.visibleOptions.findIndex(function(option4) {
+        return _this11.isValidSelectedOption(option4);
+      }) : -1;
+    }, "findSelectedOptionIndex"),
+    findFirstFocusedOptionIndex: /* @__PURE__ */ __name(function findFirstFocusedOptionIndex2() {
+      var selectedIndex = this.findSelectedOptionIndex();
+      return selectedIndex < 0 ? this.findFirstOptionIndex() : selectedIndex;
+    }, "findFirstFocusedOptionIndex"),
+    findLastFocusedOptionIndex: /* @__PURE__ */ __name(function findLastFocusedOptionIndex2() {
+      var selectedIndex = this.findSelectedOptionIndex();
+      return selectedIndex < 0 ? this.findLastOptionIndex() : selectedIndex;
+    }, "findLastFocusedOptionIndex"),
+    searchOptions: /* @__PURE__ */ __name(function searchOptions2(event2, _char) {
+      var _this12 = this;
+      this.searchValue = (this.searchValue || "") + _char;
+      var optionIndex = -1;
+      var matched = false;
+      if (isNotEmpty(this.searchValue)) {
+        if (this.focusedOptionIndex !== -1) {
+          optionIndex = this.visibleOptions.slice(this.focusedOptionIndex).findIndex(function(option4) {
+            return _this12.isOptionMatched(option4);
+          });
+          optionIndex = optionIndex === -1 ? this.visibleOptions.slice(0, this.focusedOptionIndex).findIndex(function(option4) {
+            return _this12.isOptionMatched(option4);
+          }) : optionIndex + this.focusedOptionIndex;
+        } else {
+          optionIndex = this.visibleOptions.findIndex(function(option4) {
+            return _this12.isOptionMatched(option4);
+          });
+        }
+        if (optionIndex !== -1) {
+          matched = true;
+        }
+        if (optionIndex === -1 && this.focusedOptionIndex === -1) {
+          optionIndex = this.findFirstFocusedOptionIndex();
+        }
+        if (optionIndex !== -1) {
+          this.changeFocusedOptionIndex(event2, optionIndex);
+        }
+      }
+      if (this.searchTimeout) {
+        clearTimeout(this.searchTimeout);
+      }
+      this.searchTimeout = setTimeout(function() {
+        _this12.searchValue = "";
+        _this12.searchTimeout = null;
+      }, 500);
+      return matched;
+    }, "searchOptions"),
+    changeFocusedOptionIndex: /* @__PURE__ */ __name(function changeFocusedOptionIndex2(event2, index2) {
+      if (this.focusedOptionIndex !== index2) {
+        this.focusedOptionIndex = index2;
+        this.scrollInView();
+        if (this.selectOnFocus) {
+          this.onOptionSelect(event2, this.visibleOptions[index2], false);
+        }
+      }
+    }, "changeFocusedOptionIndex"),
+    scrollInView: /* @__PURE__ */ __name(function scrollInView4() {
+      var _this13 = this;
+      var index2 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : -1;
+      this.$nextTick(function() {
+        var id2 = index2 !== -1 ? "".concat(_this13.id, "_").concat(index2) : _this13.focusedOptionId;
+        var element = findSingle(_this13.list, 'li[id="'.concat(id2, '"]'));
+        if (element) {
+          element.scrollIntoView && element.scrollIntoView({
+            block: "nearest",
+            inline: "start"
+          });
+        } else if (!_this13.virtualScrollerDisabled) {
+          _this13.virtualScroller && _this13.virtualScroller.scrollToIndex(index2 !== -1 ? index2 : _this13.focusedOptionIndex);
+        }
+      });
+    }, "scrollInView"),
+    autoUpdateModel: /* @__PURE__ */ __name(function autoUpdateModel2() {
+      if (this.selectOnFocus && this.autoOptionFocus && !this.hasSelectedOption) {
+        this.focusedOptionIndex = this.findFirstFocusedOptionIndex();
+        this.onOptionSelect(null, this.visibleOptions[this.focusedOptionIndex], false);
+      }
+    }, "autoUpdateModel"),
+    updateModel: /* @__PURE__ */ __name(function updateModel3(event2, value3) {
+      this.$emit("update:modelValue", value3);
+      this.$emit("change", {
+        originalEvent: event2,
+        value: value3
+      });
+    }, "updateModel"),
+    flatOptions: /* @__PURE__ */ __name(function flatOptions2(options3) {
+      var _this14 = this;
+      return (options3 || []).reduce(function(result, option4, index2) {
+        result.push({
+          optionGroup: option4,
+          group: true,
+          index: index2
+        });
+        var optionGroupChildren = _this14.getOptionGroupChildren(option4);
+        optionGroupChildren && optionGroupChildren.forEach(function(o) {
+          return result.push(o);
+        });
+        return result;
+      }, []);
+    }, "flatOptions"),
+    overlayRef: /* @__PURE__ */ __name(function overlayRef(el) {
+      this.overlay = el;
+    }, "overlayRef"),
+    listRef: /* @__PURE__ */ __name(function listRef2(el, contentRef3) {
+      this.list = el;
+      contentRef3 && contentRef3(el);
+    }, "listRef"),
+    virtualScrollerRef: /* @__PURE__ */ __name(function virtualScrollerRef2(el) {
+      this.virtualScroller = el;
+    }, "virtualScrollerRef")
+  },
+  computed: {
+    visibleOptions: /* @__PURE__ */ __name(function visibleOptions2() {
+      var _this15 = this;
+      var options3 = this.optionGroupLabel ? this.flatOptions(this.options) : this.options || [];
+      if (this.filterValue) {
+        var filteredOptions = FilterService.filter(options3, this.searchFields, this.filterValue, this.filterMatchMode, this.filterLocale);
+        if (this.optionGroupLabel) {
+          var optionGroups = this.options || [];
+          var filtered = [];
+          optionGroups.forEach(function(group) {
+            var groupChildren = _this15.getOptionGroupChildren(group);
+            var filteredItems = groupChildren.filter(function(item2) {
+              return filteredOptions.includes(item2);
+            });
+            if (filteredItems.length > 0) filtered.push(_objectSpread$a(_objectSpread$a({}, group), {}, _defineProperty$9({}, typeof _this15.optionGroupChildren === "string" ? _this15.optionGroupChildren : "items", _toConsumableArray$a(filteredItems))));
+          });
+          return this.flatOptions(filtered);
+        }
+        return filteredOptions;
+      }
+      return options3;
+    }, "visibleOptions"),
+    hasSelectedOption: /* @__PURE__ */ __name(function hasSelectedOption2() {
+      return isNotEmpty(this.modelValue);
+    }, "hasSelectedOption"),
+    label: /* @__PURE__ */ __name(function label2() {
+      var selectedOptionIndex = this.findSelectedOptionIndex();
+      return selectedOptionIndex !== -1 ? this.getOptionLabel(this.visibleOptions[selectedOptionIndex]) : this.placeholder || "p-emptylabel";
+    }, "label"),
+    editableInputValue: /* @__PURE__ */ __name(function editableInputValue() {
+      var selectedOptionIndex = this.findSelectedOptionIndex();
+      return selectedOptionIndex !== -1 ? this.getOptionLabel(this.visibleOptions[selectedOptionIndex]) : this.modelValue || "";
+    }, "editableInputValue"),
+    equalityKey: /* @__PURE__ */ __name(function equalityKey2() {
+      return this.optionValue ? null : this.dataKey;
+    }, "equalityKey"),
+    searchFields: /* @__PURE__ */ __name(function searchFields2() {
+      return this.filterFields || [this.optionLabel];
+    }, "searchFields"),
+    filterResultMessageText: /* @__PURE__ */ __name(function filterResultMessageText2() {
+      return isNotEmpty(this.visibleOptions) ? this.filterMessageText.replaceAll("{0}", this.visibleOptions.length) : this.emptyFilterMessageText;
+    }, "filterResultMessageText"),
+    filterMessageText: /* @__PURE__ */ __name(function filterMessageText2() {
+      return this.filterMessage || this.$primevue.config.locale.searchMessage || "";
+    }, "filterMessageText"),
+    emptyFilterMessageText: /* @__PURE__ */ __name(function emptyFilterMessageText2() {
+      return this.emptyFilterMessage || this.$primevue.config.locale.emptySearchMessage || this.$primevue.config.locale.emptyFilterMessage || "";
+    }, "emptyFilterMessageText"),
+    emptyMessageText: /* @__PURE__ */ __name(function emptyMessageText2() {
+      return this.emptyMessage || this.$primevue.config.locale.emptyMessage || "";
+    }, "emptyMessageText"),
+    selectionMessageText: /* @__PURE__ */ __name(function selectionMessageText2() {
+      return this.selectionMessage || this.$primevue.config.locale.selectionMessage || "";
+    }, "selectionMessageText"),
+    emptySelectionMessageText: /* @__PURE__ */ __name(function emptySelectionMessageText2() {
+      return this.emptySelectionMessage || this.$primevue.config.locale.emptySelectionMessage || "";
+    }, "emptySelectionMessageText"),
+    selectedMessageText: /* @__PURE__ */ __name(function selectedMessageText2() {
+      return this.hasSelectedOption ? this.selectionMessageText.replaceAll("{0}", "1") : this.emptySelectionMessageText;
+    }, "selectedMessageText"),
+    focusedOptionId: /* @__PURE__ */ __name(function focusedOptionId2() {
+      return this.focusedOptionIndex !== -1 ? "".concat(this.id, "_").concat(this.focusedOptionIndex) : null;
+    }, "focusedOptionId"),
+    ariaSetSize: /* @__PURE__ */ __name(function ariaSetSize2() {
+      var _this16 = this;
+      return this.visibleOptions.filter(function(option4) {
+        return !_this16.isOptionGroup(option4);
+      }).length;
+    }, "ariaSetSize"),
+    virtualScrollerDisabled: /* @__PURE__ */ __name(function virtualScrollerDisabled2() {
+      return !this.virtualScrollerOptions;
+    }, "virtualScrollerDisabled")
+  },
+  directives: {
+    ripple: Ripple
+  },
+  components: {
+    InputText: script$O,
+    VirtualScroller: script$M,
+    Portal: script$z,
+    InputIcon: script$P,
+    IconField: script$Q,
+    TimesIcon: script$A,
+    ChevronDownIcon: script$B,
+    SpinnerIcon: script$N,
+    SearchIcon: script$R,
+    CheckIcon: script$S,
+    BlankIcon: script$T
+  }
+};
+var _hoisted_1$O = ["id"];
+var _hoisted_2$B = ["id", "value", "placeholder", "tabindex", "disabled", "aria-label", "aria-labelledby", "aria-expanded", "aria-controls", "aria-activedescendant", "aria-invalid"];
+var _hoisted_3$h = ["id", "tabindex", "aria-label", "aria-labelledby", "aria-expanded", "aria-controls", "aria-activedescendant", "aria-disabled"];
+var _hoisted_4$b = ["id"];
+var _hoisted_5$7 = ["id"];
+var _hoisted_6$6 = ["id", "aria-label", "aria-selected", "aria-disabled", "aria-setsize", "aria-posinset", "onClick", "onMousemove", "data-p-selected", "data-p-focused", "data-p-disabled"];
+function render$x(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_SpinnerIcon = resolveComponent("SpinnerIcon");
+  var _component_InputText = resolveComponent("InputText");
+  var _component_SearchIcon = resolveComponent("SearchIcon");
+  var _component_InputIcon = resolveComponent("InputIcon");
+  var _component_IconField = resolveComponent("IconField");
+  var _component_CheckIcon = resolveComponent("CheckIcon");
+  var _component_BlankIcon = resolveComponent("BlankIcon");
+  var _component_VirtualScroller = resolveComponent("VirtualScroller");
+  var _component_Portal = resolveComponent("Portal");
+  var _directive_ripple = resolveDirective("ripple");
+  return openBlock(), createElementBlock("div", mergeProps({
+    ref: "container",
+    id: $data.id,
+    "class": _ctx.cx("root"),
+    onClick: _cache[11] || (_cache[11] = function() {
+      return $options.onContainerClick && $options.onContainerClick.apply($options, arguments);
+    })
+  }, _ctx.ptmi("root")), [_ctx.editable ? (openBlock(), createElementBlock("input", mergeProps({
+    key: 0,
+    ref: "focusInput",
+    id: _ctx.labelId || _ctx.inputId,
+    type: "text",
+    "class": [_ctx.cx("label"), _ctx.inputClass, _ctx.labelClass],
+    style: [_ctx.inputStyle, _ctx.labelStyle],
+    value: $options.editableInputValue,
+    placeholder: _ctx.placeholder,
+    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,
+    disabled: _ctx.disabled,
+    autocomplete: "off",
+    role: "combobox",
+    "aria-label": _ctx.ariaLabel,
+    "aria-labelledby": _ctx.ariaLabelledby,
+    "aria-haspopup": "listbox",
+    "aria-expanded": $data.overlayVisible,
+    "aria-controls": $data.id + "_list",
+    "aria-activedescendant": $data.focused ? $options.focusedOptionId : void 0,
+    "aria-invalid": _ctx.invalid || void 0,
+    onFocus: _cache[0] || (_cache[0] = function() {
+      return $options.onFocus && $options.onFocus.apply($options, arguments);
+    }),
+    onBlur: _cache[1] || (_cache[1] = function() {
+      return $options.onBlur && $options.onBlur.apply($options, arguments);
+    }),
+    onKeydown: _cache[2] || (_cache[2] = function() {
+      return $options.onKeyDown && $options.onKeyDown.apply($options, arguments);
+    }),
+    onInput: _cache[3] || (_cache[3] = function() {
+      return $options.onEditableInput && $options.onEditableInput.apply($options, arguments);
+    })
+  }, _ctx.ptm("label")), null, 16, _hoisted_2$B)) : (openBlock(), createElementBlock("span", mergeProps({
+    key: 1,
+    ref: "focusInput",
+    id: _ctx.labelId || _ctx.inputId,
+    "class": [_ctx.cx("label"), _ctx.inputClass, _ctx.labelClass],
+    style: [_ctx.inputStyle, _ctx.labelStyle],
+    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,
+    role: "combobox",
+    "aria-label": _ctx.ariaLabel || ($options.label === "p-emptylabel" ? void 0 : $options.label),
+    "aria-labelledby": _ctx.ariaLabelledby,
+    "aria-haspopup": "listbox",
+    "aria-expanded": $data.overlayVisible,
+    "aria-controls": $data.id + "_list",
+    "aria-activedescendant": $data.focused ? $options.focusedOptionId : void 0,
+    "aria-disabled": _ctx.disabled,
+    onFocus: _cache[4] || (_cache[4] = function() {
+      return $options.onFocus && $options.onFocus.apply($options, arguments);
+    }),
+    onBlur: _cache[5] || (_cache[5] = function() {
+      return $options.onBlur && $options.onBlur.apply($options, arguments);
+    }),
+    onKeydown: _cache[6] || (_cache[6] = function() {
+      return $options.onKeyDown && $options.onKeyDown.apply($options, arguments);
+    })
+  }, _ctx.ptm("label")), [renderSlot(_ctx.$slots, "value", {
+    value: _ctx.modelValue,
+    placeholder: _ctx.placeholder
+  }, function() {
+    return [createTextVNode(toDisplayString$1($options.label === "p-emptylabel" ? " " : $options.label || "empty"), 1)];
+  })], 16, _hoisted_3$h)), _ctx.showClear && _ctx.modelValue != null ? renderSlot(_ctx.$slots, "clearicon", {
+    key: 2,
+    "class": normalizeClass(_ctx.cx("clearIcon")),
+    clearCallback: $options.onClearClick
+  }, function() {
+    return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.clearIcon ? "i" : "TimesIcon"), mergeProps({
+      ref: "clearIcon",
+      "class": [_ctx.cx("clearIcon"), _ctx.clearIcon],
+      onClick: $options.onClearClick
+    }, _ctx.ptm("clearIcon"), {
+      "data-pc-section": "clearicon"
+    }), null, 16, ["class", "onClick"]))];
+  }) : createCommentVNode("", true), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("dropdown")
+  }, _ctx.ptm("dropdown")), [_ctx.loading ? renderSlot(_ctx.$slots, "loadingicon", {
+    key: 0,
+    "class": normalizeClass(_ctx.cx("loadingIcon"))
+  }, function() {
+    return [_ctx.loadingIcon ? (openBlock(), createElementBlock("span", mergeProps({
+      key: 0,
+      "class": [_ctx.cx("loadingIcon"), "pi-spin", _ctx.loadingIcon],
+      "aria-hidden": "true"
+    }, _ctx.ptm("loadingIcon")), null, 16)) : (openBlock(), createBlock(_component_SpinnerIcon, mergeProps({
+      key: 1,
+      "class": _ctx.cx("loadingIcon"),
+      spin: "",
+      "aria-hidden": "true"
+    }, _ctx.ptm("loadingIcon")), null, 16, ["class"]))];
+  }) : renderSlot(_ctx.$slots, "dropdownicon", {
+    key: 1,
+    "class": normalizeClass(_ctx.cx("dropdownIcon"))
+  }, function() {
+    return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.dropdownIcon ? "span" : "ChevronDownIcon"), mergeProps({
+      "class": [_ctx.cx("dropdownIcon"), _ctx.dropdownIcon],
+      "aria-hidden": "true"
+    }, _ctx.ptm("dropdownIcon")), null, 16, ["class"]))];
+  })], 16), createVNode(_component_Portal, {
+    appendTo: _ctx.appendTo
+  }, {
+    "default": withCtx(function() {
+      return [createVNode(Transition, mergeProps({
+        name: "p-connected-overlay",
+        onEnter: $options.onOverlayEnter,
+        onAfterEnter: $options.onOverlayAfterEnter,
+        onLeave: $options.onOverlayLeave,
+        onAfterLeave: $options.onOverlayAfterLeave
+      }, _ctx.ptm("transition")), {
+        "default": withCtx(function() {
+          return [$data.overlayVisible ? (openBlock(), createElementBlock("div", mergeProps({
+            key: 0,
+            ref: $options.overlayRef,
+            "class": [_ctx.cx("overlay"), _ctx.panelClass, _ctx.overlayClass],
+            style: [_ctx.panelStyle, _ctx.overlayStyle],
+            onClick: _cache[9] || (_cache[9] = function() {
+              return $options.onOverlayClick && $options.onOverlayClick.apply($options, arguments);
+            }),
+            onKeydown: _cache[10] || (_cache[10] = function() {
+              return $options.onOverlayKeyDown && $options.onOverlayKeyDown.apply($options, arguments);
+            })
+          }, _ctx.ptm("overlay")), [createBaseVNode("span", mergeProps({
+            ref: "firstHiddenFocusableElementOnOverlay",
+            role: "presentation",
+            "aria-hidden": "true",
+            "class": "p-hidden-accessible p-hidden-focusable",
+            tabindex: 0,
+            onFocus: _cache[7] || (_cache[7] = function() {
+              return $options.onFirstHiddenFocus && $options.onFirstHiddenFocus.apply($options, arguments);
+            })
+          }, _ctx.ptm("hiddenFirstFocusableEl"), {
+            "data-p-hidden-accessible": true,
+            "data-p-hidden-focusable": true
+          }), null, 16), renderSlot(_ctx.$slots, "header", {
+            value: _ctx.modelValue,
+            options: $options.visibleOptions
+          }), _ctx.filter ? (openBlock(), createElementBlock("div", mergeProps({
+            key: 0,
+            "class": _ctx.cx("header")
+          }, _ctx.ptm("header")), [createVNode(_component_IconField, mergeProps({
+            unstyled: _ctx.unstyled
+          }, _ctx.ptm("pcFilterContainer")), {
+            "default": withCtx(function() {
+              return [createVNode(_component_InputText, {
+                ref: "filterInput",
+                type: "text",
+                value: $data.filterValue,
+                onVnodeMounted: $options.onFilterUpdated,
+                onVnodeUpdated: $options.onFilterUpdated,
+                "class": normalizeClass(_ctx.cx("pcFilter")),
+                placeholder: _ctx.filterPlaceholder,
+                variant: _ctx.variant,
+                unstyled: _ctx.unstyled,
+                role: "searchbox",
+                autocomplete: "off",
+                "aria-owns": $data.id + "_list",
+                "aria-activedescendant": $options.focusedOptionId,
+                onKeydown: $options.onFilterKeyDown,
+                onBlur: $options.onFilterBlur,
+                onInput: $options.onFilterChange,
+                pt: _ctx.ptm("pcFilter")
+              }, null, 8, ["value", "onVnodeMounted", "onVnodeUpdated", "class", "placeholder", "variant", "unstyled", "aria-owns", "aria-activedescendant", "onKeydown", "onBlur", "onInput", "pt"]), createVNode(_component_InputIcon, mergeProps({
+                unstyled: _ctx.unstyled
+              }, _ctx.ptm("pcFilterIconContainer")), {
+                "default": withCtx(function() {
+                  return [renderSlot(_ctx.$slots, "filtericon", {}, function() {
+                    return [_ctx.filterIcon ? (openBlock(), createElementBlock("span", mergeProps({
+                      key: 0,
+                      "class": _ctx.filterIcon
+                    }, _ctx.ptm("filterIcon")), null, 16)) : (openBlock(), createBlock(_component_SearchIcon, normalizeProps(mergeProps({
+                      key: 1
+                    }, _ctx.ptm("filterIcon"))), null, 16))];
+                  })];
+                }),
+                _: 3
+              }, 16, ["unstyled"])];
+            }),
+            _: 3
+          }, 16, ["unstyled"]), createBaseVNode("span", mergeProps({
+            role: "status",
+            "aria-live": "polite",
+            "class": "p-hidden-accessible"
+          }, _ctx.ptm("hiddenFilterResult"), {
+            "data-p-hidden-accessible": true
+          }), toDisplayString$1($options.filterResultMessageText), 17)], 16)) : createCommentVNode("", true), createBaseVNode("div", mergeProps({
+            "class": _ctx.cx("listContainer"),
+            style: {
+              "max-height": $options.virtualScrollerDisabled ? _ctx.scrollHeight : ""
+            }
+          }, _ctx.ptm("listContainer")), [createVNode(_component_VirtualScroller, mergeProps({
+            ref: $options.virtualScrollerRef
+          }, _ctx.virtualScrollerOptions, {
+            items: $options.visibleOptions,
+            style: {
+              height: _ctx.scrollHeight
+            },
+            tabindex: -1,
+            disabled: $options.virtualScrollerDisabled,
+            pt: _ctx.ptm("virtualScroller")
+          }), createSlots({
+            content: withCtx(function(_ref) {
+              var styleClass = _ref.styleClass, contentRef3 = _ref.contentRef, items2 = _ref.items, getItemOptions = _ref.getItemOptions, contentStyle = _ref.contentStyle, itemSize2 = _ref.itemSize;
+              return [createBaseVNode("ul", mergeProps({
+                ref: /* @__PURE__ */ __name(function ref2(el) {
+                  return $options.listRef(el, contentRef3);
+                }, "ref"),
+                id: $data.id + "_list",
+                "class": [_ctx.cx("list"), styleClass],
+                style: contentStyle,
+                role: "listbox"
+              }, _ctx.ptm("list")), [(openBlock(true), createElementBlock(Fragment, null, renderList(items2, function(option4, i2) {
+                return openBlock(), createElementBlock(Fragment, {
+                  key: $options.getOptionRenderKey(option4, $options.getOptionIndex(i2, getItemOptions))
+                }, [$options.isOptionGroup(option4) ? (openBlock(), createElementBlock("li", mergeProps({
+                  key: 0,
+                  id: $data.id + "_" + $options.getOptionIndex(i2, getItemOptions),
+                  style: {
+                    height: itemSize2 ? itemSize2 + "px" : void 0
+                  },
+                  "class": _ctx.cx("optionGroup"),
+                  role: "option",
+                  ref_for: true
+                }, _ctx.ptm("optionGroup")), [renderSlot(_ctx.$slots, "optiongroup", {
+                  option: option4.optionGroup,
+                  index: $options.getOptionIndex(i2, getItemOptions)
+                }, function() {
+                  return [createBaseVNode("span", mergeProps({
+                    "class": _ctx.cx("optionGroupLabel"),
+                    ref_for: true
+                  }, _ctx.ptm("optionGroupLabel")), toDisplayString$1($options.getOptionGroupLabel(option4.optionGroup)), 17)];
+                })], 16, _hoisted_5$7)) : withDirectives((openBlock(), createElementBlock("li", mergeProps({
+                  key: 1,
+                  id: $data.id + "_" + $options.getOptionIndex(i2, getItemOptions),
+                  "class": _ctx.cx("option", {
+                    option: option4,
+                    focusedOption: $options.getOptionIndex(i2, getItemOptions)
+                  }),
+                  style: {
+                    height: itemSize2 ? itemSize2 + "px" : void 0
+                  },
+                  role: "option",
+                  "aria-label": $options.getOptionLabel(option4),
+                  "aria-selected": $options.isSelected(option4),
+                  "aria-disabled": $options.isOptionDisabled(option4),
+                  "aria-setsize": $options.ariaSetSize,
+                  "aria-posinset": $options.getAriaPosInset($options.getOptionIndex(i2, getItemOptions)),
+                  onClick: /* @__PURE__ */ __name(function onClick3($event) {
+                    return $options.onOptionSelect($event, option4);
+                  }, "onClick"),
+                  onMousemove: /* @__PURE__ */ __name(function onMousemove($event) {
+                    return $options.onOptionMouseMove($event, $options.getOptionIndex(i2, getItemOptions));
+                  }, "onMousemove"),
+                  "data-p-selected": $options.isSelected(option4),
+                  "data-p-focused": $data.focusedOptionIndex === $options.getOptionIndex(i2, getItemOptions),
+                  "data-p-disabled": $options.isOptionDisabled(option4),
+                  ref_for: true
+                }, $options.getPTItemOptions(option4, getItemOptions, i2, "option")), [_ctx.checkmark ? (openBlock(), createElementBlock(Fragment, {
+                  key: 0
+                }, [$options.isSelected(option4) ? (openBlock(), createBlock(_component_CheckIcon, mergeProps({
+                  key: 0,
+                  "class": _ctx.cx("optionCheckIcon"),
+                  ref_for: true
+                }, _ctx.ptm("optionCheckIcon")), null, 16, ["class"])) : (openBlock(), createBlock(_component_BlankIcon, mergeProps({
+                  key: 1,
+                  "class": _ctx.cx("optionBlankIcon"),
+                  ref_for: true
+                }, _ctx.ptm("optionBlankIcon")), null, 16, ["class"]))], 64)) : createCommentVNode("", true), renderSlot(_ctx.$slots, "option", {
+                  option: option4,
+                  selected: $options.isSelected(option4),
+                  index: $options.getOptionIndex(i2, getItemOptions)
+                }, function() {
+                  return [createBaseVNode("span", mergeProps({
+                    "class": _ctx.cx("optionLabel"),
+                    ref_for: true
+                  }, _ctx.ptm("optionLabel")), toDisplayString$1($options.getOptionLabel(option4)), 17)];
+                })], 16, _hoisted_6$6)), [[_directive_ripple]])], 64);
+              }), 128)), $data.filterValue && (!items2 || items2 && items2.length === 0) ? (openBlock(), createElementBlock("li", mergeProps({
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+                "class": _ctx.cx("emptyMessage"),
+                role: "option"
+              }, _ctx.ptm("emptyMessage"), {
+                "data-p-hidden-accessible": true
+              }), [renderSlot(_ctx.$slots, "emptyfilter", {}, function() {
+                return [createTextVNode(toDisplayString$1($options.emptyFilterMessageText), 1)];
+              })], 16)) : !_ctx.options || _ctx.options && _ctx.options.length === 0 ? (openBlock(), createElementBlock("li", mergeProps({
+                key: 1,
+                "class": _ctx.cx("emptyMessage"),
+                role: "option"
+              }, _ctx.ptm("emptyMessage"), {
+                "data-p-hidden-accessible": true
+              }), [renderSlot(_ctx.$slots, "empty", {}, function() {
+                return [createTextVNode(toDisplayString$1($options.emptyMessageText), 1)];
+              })], 16)) : createCommentVNode("", true)], 16, _hoisted_4$b)];
+            }),
+            _: 2
+          }, [_ctx.$slots.loader ? {
+            name: "loader",
+            fn: withCtx(function(_ref2) {
+              var options3 = _ref2.options;
+              return [renderSlot(_ctx.$slots, "loader", {
+                options: options3
+              })];
+            }),
+            key: "0"
+          } : void 0]), 1040, ["items", "style", "disabled", "pt"])], 16), renderSlot(_ctx.$slots, "footer", {
+            value: _ctx.modelValue,
+            options: $options.visibleOptions
+          }), !_ctx.options || _ctx.options && _ctx.options.length === 0 ? (openBlock(), createElementBlock("span", mergeProps({
+            key: 1,
+            role: "status",
+            "aria-live": "polite",
+            "class": "p-hidden-accessible"
+          }, _ctx.ptm("hiddenEmptyMessage"), {
+            "data-p-hidden-accessible": true
+          }), toDisplayString$1($options.emptyMessageText), 17)) : createCommentVNode("", true), createBaseVNode("span", mergeProps({
+            role: "status",
+            "aria-live": "polite",
+            "class": "p-hidden-accessible"
+          }, _ctx.ptm("hiddenSelectedMessage"), {
+            "data-p-hidden-accessible": true
+          }), toDisplayString$1($options.selectedMessageText), 17), createBaseVNode("span", mergeProps({
+            ref: "lastHiddenFocusableElementOnOverlay",
+            role: "presentation",
+            "aria-hidden": "true",
+            "class": "p-hidden-accessible p-hidden-focusable",
+            tabindex: 0,
+            onFocus: _cache[8] || (_cache[8] = function() {
+              return $options.onLastHiddenFocus && $options.onLastHiddenFocus.apply($options, arguments);
+            })
+          }, _ctx.ptm("hiddenLastFocusableEl"), {
+            "data-p-hidden-accessible": true,
+            "data-p-hidden-focusable": true
+          }), null, 16)], 16)) : createCommentVNode("", true)];
+        }),
+        _: 3
+      }, 16, ["onEnter", "onAfterEnter", "onLeave", "onAfterLeave"])];
+    }),
+    _: 3
+  }, 8, ["appendTo"])], 16, _hoisted_1$O);
+}
+__name(render$x, "render$x");
+script$y.render = render$x;
+var theme$k = /* @__PURE__ */ __name(function theme17(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-toggleswitch {\n    display: inline-block;\n    width: ".concat(dt3("toggleswitch.width"), ";\n    height: ").concat(dt3("toggleswitch.height"), ";\n}\n\n.p-toggleswitch-input {\n    cursor: pointer;\n    appearance: none;\n    position: absolute;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n    padding: 0;\n    margin: 0;\n    opacity: 0;\n    z-index: 1;\n    outline: 0 none;\n    border-radius: ").concat(dt3("toggleswitch.border.radius"), ";\n}\n\n.p-toggleswitch-slider {\n    display: inline-block;\n    cursor: pointer;\n    width: 100%;\n    height: 100%;\n    border-width: ").concat(dt3("toggleswitch.border.width"), ";\n    border-style: solid;\n    border-color: ").concat(dt3("toggleswitch.border.color"), ";\n    background: ").concat(dt3("toggleswitch.background"), ";\n    transition: background ").concat(dt3("toggleswitch.transition.duration"), ", color ").concat(dt3("toggleswitch.transition.duration"), ", border-color ").concat(dt3("toggleswitch.transition.duration"), ", outline-color ").concat(dt3("toggleswitch.transition.duration"), ", box-shadow ").concat(dt3("toggleswitch.transition.duration"), ";\n    border-radius: ").concat(dt3("toggleswitch.border.radius"), ";\n    outline-color: transparent;\n    box-shadow: ").concat(dt3("toggleswitch.shadow"), ';\n}\n\n.p-toggleswitch-slider:before {\n    position: absolute;\n    content: "";\n    top: 50%;\n    background: ').concat(dt3("toggleswitch.handle.background"), ";\n    width: ").concat(dt3("toggleswitch.handle.size"), ";\n    height: ").concat(dt3("toggleswitch.handle.size"), ";\n    left: ").concat(dt3("toggleswitch.gap"), ";\n    margin-top: calc(-1 * calc(").concat(dt3("toggleswitch.handle.size"), " / 2));\n    border-radius: ").concat(dt3("toggleswitch.handle.border.radius"), ";\n    transition: background ").concat(dt3("toggleswitch.transition.duration"), ", left ").concat(dt3("toggleswitch.slide.duration"), ";\n}\n\n.p-toggleswitch.p-toggleswitch-checked .p-toggleswitch-slider {\n    background: ").concat(dt3("toggleswitch.checked.background"), ";\n    border-color: ").concat(dt3("toggleswitch.checked.border.color"), ";\n}\n\n.p-toggleswitch.p-toggleswitch-checked .p-toggleswitch-slider:before {\n    background: ").concat(dt3("toggleswitch.handle.checked.background"), ";\n    left: calc(").concat(dt3("toggleswitch.width"), " - calc(").concat(dt3("toggleswitch.handle.size"), " + ").concat(dt3("toggleswitch.gap"), "));\n}\n\n.p-toggleswitch:not(.p-disabled):has(.p-toggleswitch-input:hover) .p-toggleswitch-slider {\n    background: ").concat(dt3("toggleswitch.hover.background"), ";\n    border-color: ").concat(dt3("toggleswitch.hover.border.color"), ";\n}\n\n.p-toggleswitch:not(.p-disabled):has(.p-toggleswitch-input:hover) .p-toggleswitch-slider:before {\n    background: ").concat(dt3("toggleswitch.handle.hover.background"), ";\n}\n\n.p-toggleswitch:not(.p-disabled):has(.p-toggleswitch-input:hover).p-toggleswitch-checked .p-toggleswitch-slider {\n    background: ").concat(dt3("toggleswitch.checked.hover.background"), ";\n    border-color: ").concat(dt3("toggleswitch.checked.hover.border.color"), ";\n}\n\n.p-toggleswitch:not(.p-disabled):has(.p-toggleswitch-input:hover).p-toggleswitch-checked .p-toggleswitch-slider:before {\n    background: ").concat(dt3("toggleswitch.handle.checked.hover.background"), ";\n}\n\n.p-toggleswitch:not(.p-disabled):has(.p-toggleswitch-input:focus-visible) .p-toggleswitch-slider {\n    box-shadow: ").concat(dt3("toggleswitch.focus.ring.shadow"), ";\n    outline: ").concat(dt3("toggleswitch.focus.ring.width"), " ").concat(dt3("toggleswitch.focus.ring.style"), " ").concat(dt3("toggleswitch.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("toggleswitch.focus.ring.offset"), ";\n}\n\n.p-toggleswitch.p-invalid > .p-toggleswitch-slider {\n    border-color: ").concat(dt3("toggleswitch.invalid.border.color"), ";\n}\n\n.p-toggleswitch.p-disabled {\n    opacity: 1;\n}\n\n.p-toggleswitch.p-disabled .p-toggleswitch-slider {\n    background: ").concat(dt3("toggleswitch.disabled.background"), ";\n}\n\n.p-toggleswitch.p-disabled .p-toggleswitch-slider:before {\n    background: ").concat(dt3("toggleswitch.handle.disabled.background"), ";\n}\n");
+}, "theme");
+var inlineStyles$5 = {
+  root: {
+    position: "relative"
+  }
+};
+var classes$l = {
+  root: /* @__PURE__ */ __name(function root11(_ref2) {
+    var instance = _ref2.instance, props = _ref2.props;
+    return ["p-toggleswitch p-component", {
+      "p-toggleswitch-checked": instance.checked,
+      "p-disabled": props.disabled,
+      "p-invalid": props.invalid
+    }];
+  }, "root"),
+  input: "p-toggleswitch-input",
+  slider: "p-toggleswitch-slider"
+};
+var ToggleSwitchStyle = BaseStyle.extend({
+  name: "toggleswitch",
+  theme: theme$k,
+  classes: classes$l,
+  inlineStyles: inlineStyles$5
+});
+var script$1$l = {
+  name: "BaseToggleSwitch",
+  "extends": script$X,
+  props: {
+    modelValue: {
+      type: null,
+      "default": false
+    },
+    trueValue: {
+      type: null,
+      "default": true
+    },
+    falseValue: {
+      type: null,
+      "default": false
+    },
+    invalid: {
+      type: Boolean,
+      "default": false
+    },
+    disabled: {
+      type: Boolean,
+      "default": false
+    },
+    readonly: {
+      type: Boolean,
+      "default": false
+    },
+    tabindex: {
+      type: Number,
+      "default": null
+    },
+    inputId: {
+      type: String,
+      "default": null
+    },
+    inputClass: {
+      type: [String, Object],
+      "default": null
+    },
+    inputStyle: {
+      type: Object,
+      "default": null
+    },
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    }
+  },
+  style: ToggleSwitchStyle,
+  provide: /* @__PURE__ */ __name(function provide18() {
+    return {
+      $pcToggleSwitch: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$x = {
+  name: "ToggleSwitch",
+  "extends": script$1$l,
+  inheritAttrs: false,
+  emits: ["update:modelValue", "change", "focus", "blur"],
+  methods: {
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions4(key) {
+      var _ptm = key === "root" ? this.ptmi : this.ptm;
+      return _ptm(key, {
+        context: {
+          checked: this.checked,
+          disabled: this.disabled
+        }
+      });
+    }, "getPTOptions"),
+    onChange: /* @__PURE__ */ __name(function onChange(event2) {
+      if (!this.disabled && !this.readonly) {
+        var newValue = this.checked ? this.falseValue : this.trueValue;
+        this.$emit("update:modelValue", newValue);
+        this.$emit("change", event2);
+      }
+    }, "onChange"),
+    onFocus: /* @__PURE__ */ __name(function onFocus3(event2) {
+      this.$emit("focus", event2);
+    }, "onFocus"),
+    onBlur: /* @__PURE__ */ __name(function onBlur3(event2) {
+      this.$emit("blur", event2);
+    }, "onBlur")
+  },
+  computed: {
+    checked: /* @__PURE__ */ __name(function checked() {
+      return this.modelValue === this.trueValue;
+    }, "checked")
+  }
+};
+var _hoisted_1$N = ["data-p-checked", "data-p-disabled"];
+var _hoisted_2$A = ["id", "checked", "tabindex", "disabled", "readonly", "aria-checked", "aria-labelledby", "aria-label", "aria-invalid"];
+function render$w(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root"),
+    style: _ctx.sx("root")
+  }, $options.getPTOptions("root"), {
+    "data-p-checked": $options.checked,
+    "data-p-disabled": _ctx.disabled
+  }), [createBaseVNode("input", mergeProps({
+    id: _ctx.inputId,
+    type: "checkbox",
+    role: "switch",
+    "class": [_ctx.cx("input"), _ctx.inputClass],
+    style: _ctx.inputStyle,
+    checked: $options.checked,
+    tabindex: _ctx.tabindex,
+    disabled: _ctx.disabled,
+    readonly: _ctx.readonly,
+    "aria-checked": $options.checked,
+    "aria-labelledby": _ctx.ariaLabelledby,
+    "aria-label": _ctx.ariaLabel,
+    "aria-invalid": _ctx.invalid || void 0,
+    onFocus: _cache[0] || (_cache[0] = function() {
+      return $options.onFocus && $options.onFocus.apply($options, arguments);
+    }),
+    onBlur: _cache[1] || (_cache[1] = function() {
+      return $options.onBlur && $options.onBlur.apply($options, arguments);
+    }),
+    onChange: _cache[2] || (_cache[2] = function() {
+      return $options.onChange && $options.onChange.apply($options, arguments);
+    })
+  }, $options.getPTOptions("input")), null, 16, _hoisted_2$A), createBaseVNode("span", mergeProps({
+    "class": _ctx.cx("slider")
+  }, $options.getPTOptions("slider")), null, 16)], 16, _hoisted_1$N);
+}
+__name(render$w, "render$w");
+script$x.render = render$w;
+var theme$j = /* @__PURE__ */ __name(function theme18(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-tag {\n    display: inline-flex;\n    align-items: center;\n    justify-content: center;\n    background: ".concat(dt3("tag.primary.background"), ";\n    color: ").concat(dt3("tag.primary.color"), ";\n    font-size: ").concat(dt3("tag.font.size"), ";\n    font-weight: ").concat(dt3("tag.font.weight"), ";\n    padding: ").concat(dt3("tag.padding"), ";\n    border-radius: ").concat(dt3("tag.border.radius"), ";\n    gap: ").concat(dt3("tag.gap"), ";\n}\n\n.p-tag-icon {\n    font-size: ").concat(dt3("tag.icon.size"), ";\n    width: ").concat(dt3("tag.icon.size"), ";\n    height:").concat(dt3("tag.icon.size"), ";\n}\n\n.p-tag-rounded {\n    border-radius: ").concat(dt3("tag.rounded.border.radius"), ";\n}\n\n.p-tag-success {\n    background: ").concat(dt3("tag.success.background"), ";\n    color: ").concat(dt3("tag.success.color"), ";\n}\n\n.p-tag-info {\n    background: ").concat(dt3("tag.info.background"), ";\n    color: ").concat(dt3("tag.info.color"), ";\n}\n\n.p-tag-warn {\n    background: ").concat(dt3("tag.warn.background"), ";\n    color: ").concat(dt3("tag.warn.color"), ";\n}\n\n.p-tag-danger {\n    background: ").concat(dt3("tag.danger.background"), ";\n    color: ").concat(dt3("tag.danger.color"), ";\n}\n\n.p-tag-secondary {\n    background: ").concat(dt3("tag.secondary.background"), ";\n    color: ").concat(dt3("tag.secondary.color"), ";\n}\n\n.p-tag-contrast {\n    background: ").concat(dt3("tag.contrast.background"), ";\n    color: ").concat(dt3("tag.contrast.color"), ";\n}\n");
+}, "theme");
+var classes$k = {
+  root: /* @__PURE__ */ __name(function root12(_ref2) {
+    var props = _ref2.props;
+    return ["p-tag p-component", {
+      "p-tag-info": props.severity === "info",
+      "p-tag-success": props.severity === "success",
+      "p-tag-warn": props.severity === "warn",
+      "p-tag-danger": props.severity === "danger",
+      "p-tag-secondary": props.severity === "secondary",
+      "p-tag-contrast": props.severity === "contrast",
+      "p-tag-rounded": props.rounded
+    }];
+  }, "root"),
+  icon: "p-tag-icon",
+  label: "p-tag-label"
+};
+var TagStyle = BaseStyle.extend({
+  name: "tag",
+  theme: theme$j,
+  classes: classes$k
+});
+var script$1$k = {
+  name: "BaseTag",
+  "extends": script$X,
+  props: {
+    value: null,
+    severity: null,
+    rounded: Boolean,
+    icon: String
+  },
+  style: TagStyle,
+  provide: /* @__PURE__ */ __name(function provide19() {
+    return {
+      $pcTag: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$w = {
+  name: "Tag",
+  "extends": script$1$k,
+  inheritAttrs: false
+};
+function render$v(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("span", mergeProps({
+    "class": _ctx.cx("root")
+  }, _ctx.ptmi("root")), [_ctx.$slots.icon ? (openBlock(), createBlock(resolveDynamicComponent(_ctx.$slots.icon), mergeProps({
+    key: 0,
+    "class": _ctx.cx("icon")
+  }, _ctx.ptm("icon")), null, 16, ["class"])) : _ctx.icon ? (openBlock(), createElementBlock("span", mergeProps({
+    key: 1,
+    "class": [_ctx.cx("icon"), _ctx.icon]
+  }, _ctx.ptm("icon")), null, 16)) : createCommentVNode("", true), _ctx.value != null || _ctx.$slots["default"] ? renderSlot(_ctx.$slots, "default", {
+    key: 2
+  }, function() {
+    return [createBaseVNode("span", mergeProps({
+      "class": _ctx.cx("label")
+    }, _ctx.ptm("label")), toDisplayString$1(_ctx.value), 17)];
+  }) : createCommentVNode("", true)], 16);
+}
+__name(render$v, "render$v");
+script$w.render = render$v;
+const _sfc_main$B = /* @__PURE__ */ defineComponent({
+  __name: "CustomSettingValue",
+  props: {
+    renderFunction: { type: Function }
+  },
+  setup(__props) {
+    const props = __props;
+    const container = ref(null);
+    function renderContent() {
+      if (container.value) {
+        container.value.innerHTML = "";
+        const element = props.renderFunction();
+        container.value.appendChild(element);
+      }
+    }
+    __name(renderContent, "renderContent");
+    onMounted(renderContent);
+    watch(() => props.renderFunction, renderContent);
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", {
+        ref_key: "container",
+        ref: container
+      }, null, 512);
+    };
+  }
+});
+var theme$i = /* @__PURE__ */ __name(function theme19(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-slider {\n    position: relative;\n    background: ".concat(dt3("slider.track.background"), ";\n    border-radius: ").concat(dt3("slider.border.radius"), ";\n}\n\n.p-slider-handle {\n    cursor: grab;\n    touch-action: none;\n    display: flex;\n    justify-content: center;\n    align-items: center;\n    height: ").concat(dt3("slider.handle.height"), ";\n    width: ").concat(dt3("slider.handle.width"), ";\n    background: ").concat(dt3("slider.handle.background"), ";\n    border-radius: ").concat(dt3("slider.handle.border.radius"), ";\n    transition: background ").concat(dt3("slider.transition.duration"), ", color ").concat(dt3("slider.transition.duration"), ", border-color ").concat(dt3("slider.transition.duration"), ", box-shadow ").concat(dt3("slider.transition.duration"), ", outline-color ").concat(dt3("slider.transition.duration"), ';\n    outline-color: transparent;\n}\n\n.p-slider-handle::before {\n    content: "";\n    width: ').concat(dt3("slider.handle.content.width"), ";\n    height: ").concat(dt3("slider.handle.content.height"), ";\n    display: block;\n    background: ").concat(dt3("slider.handle.content.background"), ";\n    border-radius: ").concat(dt3("slider.handle.content.border.radius"), ";\n    box-shadow: ").concat(dt3("slider.handle.content.shadow"), ";\n    transition: background ").concat(dt3("slider.transition.duration"), ";\n}\n\n.p-slider:not(.p-disabled) .p-slider-handle:hover {\n    background: ").concat(dt3("slider.handle.hover.background"), ";\n}\n\n.p-slider:not(.p-disabled) .p-slider-handle:hover::before {\n    background: ").concat(dt3("slider.handle.content.hover.background"), ";\n}\n\n.p-slider-handle:focus-visible {\n    border-color: ").concat(dt3("slider.handle.focus.border.color"), ";\n    box-shadow: ").concat(dt3("slider.handle.focus.ring.shadow"), ";\n    outline: ").concat(dt3("slider.handle.focus.ring.width"), " ").concat(dt3("slider.handle.focus.ring.style"), " ").concat(dt3("slider.handle.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("slider.handle.focus.ring.offset"), ";\n}\n\n.p-slider-range {\n    display: block;\n    background: ").concat(dt3("slider.range.background"), ";\n    border-radius: ").concat(dt3("slider.border.radius"), ";\n}\n\n.p-slider.p-slider-horizontal {\n    height: ").concat(dt3("slider.track.size"), ";\n}\n\n.p-slider-horizontal .p-slider-range {\n    top: 0;\n    left: 0;\n    height: 100%;\n}\n\n.p-slider-horizontal .p-slider-handle {\n    top: 50%;\n    margin-top: calc(-1 * calc(").concat(dt3("slider.handle.height"), " / 2));\n    margin-left: calc(-1 * calc(").concat(dt3("slider.handle.width"), " / 2));\n}\n\n.p-slider-vertical {\n    min-height: 100px;\n    width: ").concat(dt3("slider.track.size"), ";\n}\n\n.p-slider-vertical .p-slider-handle {\n    left: 50%;\n    margin-left: calc(-1 * calc(").concat(dt3("slider.handle.width"), " / 2));\n    margin-bottom: calc(-1 * calc(").concat(dt3("slider.handle.height"), " / 2));\n}\n\n.p-slider-vertical .p-slider-range {\n    bottom: 0;\n    left: 0;\n    width: 100%;\n}\n");
+}, "theme");
+var inlineStyles$4 = {
+  handle: {
+    position: "absolute"
+  },
+  range: {
+    position: "absolute"
+  }
+};
+var classes$j = {
+  root: /* @__PURE__ */ __name(function root13(_ref2) {
+    var props = _ref2.props;
+    return ["p-slider p-component", {
+      "p-disabled": props.disabled,
+      "p-slider-horizontal": props.orientation === "horizontal",
+      "p-slider-vertical": props.orientation === "vertical"
+    }];
+  }, "root"),
+  range: "p-slider-range",
+  handle: "p-slider-handle"
+};
+var SliderStyle = BaseStyle.extend({
+  name: "slider",
+  theme: theme$i,
+  classes: classes$j,
+  inlineStyles: inlineStyles$4
+});
+var script$1$j = {
+  name: "BaseSlider",
+  "extends": script$X,
+  props: {
+    modelValue: [Number, Array],
+    min: {
+      type: Number,
+      "default": 0
+    },
+    max: {
+      type: Number,
+      "default": 100
+    },
+    orientation: {
+      type: String,
+      "default": "horizontal"
+    },
+    step: {
+      type: Number,
+      "default": null
+    },
+    range: {
+      type: Boolean,
+      "default": false
+    },
+    disabled: {
+      type: Boolean,
+      "default": false
+    },
+    tabindex: {
+      type: Number,
+      "default": 0
+    },
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    }
+  },
+  style: SliderStyle,
+  provide: /* @__PURE__ */ __name(function provide20() {
+    return {
+      $pcSlider: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+function _toConsumableArray$9(r) {
+  return _arrayWithoutHoles$9(r) || _iterableToArray$9(r) || _unsupportedIterableToArray$b(r) || _nonIterableSpread$9();
+}
+__name(_toConsumableArray$9, "_toConsumableArray$9");
+function _nonIterableSpread$9() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$9, "_nonIterableSpread$9");
+function _unsupportedIterableToArray$b(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$b(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$b(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$b, "_unsupportedIterableToArray$b");
+function _iterableToArray$9(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$9, "_iterableToArray$9");
+function _arrayWithoutHoles$9(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$b(r);
+}
+__name(_arrayWithoutHoles$9, "_arrayWithoutHoles$9");
+function _arrayLikeToArray$b(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$b, "_arrayLikeToArray$b");
+var script$v = {
+  name: "Slider",
+  "extends": script$1$j,
+  inheritAttrs: false,
+  emits: ["update:modelValue", "change", "slideend"],
+  dragging: false,
+  handleIndex: null,
+  initX: null,
+  initY: null,
+  barWidth: null,
+  barHeight: null,
+  dragListener: null,
+  dragEndListener: null,
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount3() {
+    this.unbindDragListeners();
+  }, "beforeUnmount"),
+  methods: {
+    updateDomData: /* @__PURE__ */ __name(function updateDomData() {
+      var rect = this.$el.getBoundingClientRect();
+      this.initX = rect.left + getWindowScrollLeft();
+      this.initY = rect.top + getWindowScrollTop();
+      this.barWidth = this.$el.offsetWidth;
+      this.barHeight = this.$el.offsetHeight;
+    }, "updateDomData"),
+    setValue: /* @__PURE__ */ __name(function setValue(event2) {
+      var handleValue;
+      var pageX = event2.touches ? event2.touches[0].pageX : event2.pageX;
+      var pageY = event2.touches ? event2.touches[0].pageY : event2.pageY;
+      if (this.orientation === "horizontal") handleValue = (pageX - this.initX) * 100 / this.barWidth;
+      else handleValue = (this.initY + this.barHeight - pageY) * 100 / this.barHeight;
+      var newValue = (this.max - this.min) * (handleValue / 100) + this.min;
+      if (this.step) {
+        var oldValue = this.range ? this.value[this.handleIndex] : this.value;
+        var diff = newValue - oldValue;
+        if (diff < 0) newValue = oldValue + Math.ceil(newValue / this.step - oldValue / this.step) * this.step;
+        else if (diff > 0) newValue = oldValue + Math.floor(newValue / this.step - oldValue / this.step) * this.step;
+      } else {
+        newValue = Math.floor(newValue);
+      }
+      this.updateModel(event2, newValue);
+    }, "setValue"),
+    updateModel: /* @__PURE__ */ __name(function updateModel4(event2, value3) {
+      var newValue = parseFloat(value3.toFixed(10));
+      var modelValue3;
+      if (this.range) {
+        modelValue3 = this.value ? _toConsumableArray$9(this.value) : [];
+        if (this.handleIndex == 0) {
+          if (newValue < this.min) newValue = this.min;
+          else if (newValue >= this.max) newValue = this.max;
+          modelValue3[0] = newValue;
+        } else {
+          if (newValue > this.max) newValue = this.max;
+          else if (newValue <= this.min) newValue = this.min;
+          modelValue3[1] = newValue;
+        }
+      } else {
+        if (newValue < this.min) newValue = this.min;
+        else if (newValue > this.max) newValue = this.max;
+        modelValue3 = newValue;
+      }
+      this.$emit("update:modelValue", modelValue3);
+      this.$emit("change", modelValue3);
+    }, "updateModel"),
+    onDragStart: /* @__PURE__ */ __name(function onDragStart(event2, index2) {
+      if (this.disabled) {
+        return;
+      }
+      this.$el.setAttribute("data-p-sliding", true);
+      this.dragging = true;
+      this.updateDomData();
+      if (this.range && this.value[0] === this.max) {
+        this.handleIndex = 0;
+      } else {
+        this.handleIndex = index2;
+      }
+      event2.currentTarget.focus();
+      event2.preventDefault();
+    }, "onDragStart"),
+    onDrag: /* @__PURE__ */ __name(function onDrag(event2) {
+      if (this.dragging) {
+        this.setValue(event2);
+        event2.preventDefault();
+      }
+    }, "onDrag"),
+    onDragEnd: /* @__PURE__ */ __name(function onDragEnd(event2) {
+      if (this.dragging) {
+        this.dragging = false;
+        this.$el.setAttribute("data-p-sliding", false);
+        this.$emit("slideend", {
+          originalEvent: event2,
+          value: this.value
+        });
+      }
+    }, "onDragEnd"),
+    onBarClick: /* @__PURE__ */ __name(function onBarClick(event2) {
+      if (this.disabled) {
+        return;
+      }
+      if (getAttribute(event2.target, "data-pc-section") !== "handle") {
+        this.updateDomData();
+        this.setValue(event2);
+      }
+    }, "onBarClick"),
+    onMouseDown: /* @__PURE__ */ __name(function onMouseDown2(event2, index2) {
+      this.bindDragListeners();
+      this.onDragStart(event2, index2);
+    }, "onMouseDown"),
+    onKeyDown: /* @__PURE__ */ __name(function onKeyDown3(event2, index2) {
+      this.handleIndex = index2;
+      switch (event2.code) {
+        case "ArrowDown":
+        case "ArrowLeft":
+          this.decrementValue(event2, index2);
+          event2.preventDefault();
+          break;
+        case "ArrowUp":
+        case "ArrowRight":
+          this.incrementValue(event2, index2);
+          event2.preventDefault();
+          break;
+        case "PageDown":
+          this.decrementValue(event2, index2, true);
+          event2.preventDefault();
+          break;
+        case "PageUp":
+          this.incrementValue(event2, index2, true);
+          event2.preventDefault();
+          break;
+        case "Home":
+          this.updateModel(event2, this.min);
+          event2.preventDefault();
+          break;
+        case "End":
+          this.updateModel(event2, this.max);
+          event2.preventDefault();
+          break;
+      }
+    }, "onKeyDown"),
+    decrementValue: /* @__PURE__ */ __name(function decrementValue(event2, index2) {
+      var pageKey = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : false;
+      var newValue;
+      if (this.range) {
+        if (this.step) newValue = this.value[index2] - this.step;
+        else newValue = this.value[index2] - 1;
+      } else {
+        if (this.step) newValue = this.value - this.step;
+        else if (!this.step && pageKey) newValue = this.value - 10;
+        else newValue = this.value - 1;
+      }
+      this.updateModel(event2, newValue);
+      event2.preventDefault();
+    }, "decrementValue"),
+    incrementValue: /* @__PURE__ */ __name(function incrementValue(event2, index2) {
+      var pageKey = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : false;
+      var newValue;
+      if (this.range) {
+        if (this.step) newValue = this.value[index2] + this.step;
+        else newValue = this.value[index2] + 1;
+      } else {
+        if (this.step) newValue = this.value + this.step;
+        else if (!this.step && pageKey) newValue = this.value + 10;
+        else newValue = this.value + 1;
+      }
+      this.updateModel(event2, newValue);
+      event2.preventDefault();
+    }, "incrementValue"),
+    bindDragListeners: /* @__PURE__ */ __name(function bindDragListeners() {
+      if (!this.dragListener) {
+        this.dragListener = this.onDrag.bind(this);
+        document.addEventListener("mousemove", this.dragListener);
+      }
+      if (!this.dragEndListener) {
+        this.dragEndListener = this.onDragEnd.bind(this);
+        document.addEventListener("mouseup", this.dragEndListener);
+      }
+    }, "bindDragListeners"),
+    unbindDragListeners: /* @__PURE__ */ __name(function unbindDragListeners() {
+      if (this.dragListener) {
+        document.removeEventListener("mousemove", this.dragListener);
+        this.dragListener = null;
+      }
+      if (this.dragEndListener) {
+        document.removeEventListener("mouseup", this.dragEndListener);
+        this.dragEndListener = null;
+      }
+    }, "unbindDragListeners")
+  },
+  computed: {
+    value: /* @__PURE__ */ __name(function value2() {
+      var _this$modelValue3;
+      if (this.range) {
+        var _this$modelValue$, _this$modelValue, _this$modelValue$2, _this$modelValue2;
+        return [(_this$modelValue$ = (_this$modelValue = this.modelValue) === null || _this$modelValue === void 0 ? void 0 : _this$modelValue[0]) !== null && _this$modelValue$ !== void 0 ? _this$modelValue$ : this.min, (_this$modelValue$2 = (_this$modelValue2 = this.modelValue) === null || _this$modelValue2 === void 0 ? void 0 : _this$modelValue2[1]) !== null && _this$modelValue$2 !== void 0 ? _this$modelValue$2 : this.max];
+      }
+      return (_this$modelValue3 = this.modelValue) !== null && _this$modelValue3 !== void 0 ? _this$modelValue3 : this.min;
+    }, "value"),
+    horizontal: /* @__PURE__ */ __name(function horizontal() {
+      return this.orientation === "horizontal";
+    }, "horizontal"),
+    vertical: /* @__PURE__ */ __name(function vertical() {
+      return this.orientation === "vertical";
+    }, "vertical"),
+    rangeStyle: /* @__PURE__ */ __name(function rangeStyle() {
+      if (this.range) {
+        var rangeSliderWidth = this.rangeEndPosition > this.rangeStartPosition ? this.rangeEndPosition - this.rangeStartPosition : this.rangeStartPosition - this.rangeEndPosition;
+        var rangeSliderPosition = this.rangeEndPosition > this.rangeStartPosition ? this.rangeStartPosition : this.rangeEndPosition;
+        if (this.horizontal) return {
+          left: rangeSliderPosition + "%",
+          width: rangeSliderWidth + "%"
+        };
+        else return {
+          bottom: rangeSliderPosition + "%",
+          height: rangeSliderWidth + "%"
+        };
+      } else {
+        if (this.horizontal) return {
+          width: this.handlePosition + "%"
+        };
+        else return {
+          height: this.handlePosition + "%"
+        };
+      }
+    }, "rangeStyle"),
+    handleStyle: /* @__PURE__ */ __name(function handleStyle() {
+      if (this.horizontal) return {
+        left: this.handlePosition + "%"
+      };
+      else return {
+        bottom: this.handlePosition + "%"
+      };
+    }, "handleStyle"),
+    handlePosition: /* @__PURE__ */ __name(function handlePosition() {
+      if (this.value < this.min) return 0;
+      else if (this.value > this.max) return 100;
+      else return (this.value - this.min) * 100 / (this.max - this.min);
+    }, "handlePosition"),
+    rangeStartPosition: /* @__PURE__ */ __name(function rangeStartPosition() {
+      if (this.value && this.value[0]) return (this.value[0] < this.min ? 0 : this.value[0] - this.min) * 100 / (this.max - this.min);
+      else return 0;
+    }, "rangeStartPosition"),
+    rangeEndPosition: /* @__PURE__ */ __name(function rangeEndPosition() {
+      if (this.value && this.value.length === 2) return (this.value[1] > this.max ? 100 : this.value[1] - this.min) * 100 / (this.max - this.min);
+      else return 100;
+    }, "rangeEndPosition"),
+    rangeStartHandleStyle: /* @__PURE__ */ __name(function rangeStartHandleStyle() {
+      if (this.horizontal) return {
+        left: this.rangeStartPosition + "%"
+      };
+      else return {
+        bottom: this.rangeStartPosition + "%"
+      };
+    }, "rangeStartHandleStyle"),
+    rangeEndHandleStyle: /* @__PURE__ */ __name(function rangeEndHandleStyle() {
+      if (this.horizontal) return {
+        left: this.rangeEndPosition + "%"
+      };
+      else return {
+        bottom: this.rangeEndPosition + "%"
+      };
+    }, "rangeEndHandleStyle")
+  }
+};
+var _hoisted_1$M = ["tabindex", "aria-valuemin", "aria-valuenow", "aria-valuemax", "aria-labelledby", "aria-label", "aria-orientation"];
+var _hoisted_2$z = ["tabindex", "aria-valuemin", "aria-valuenow", "aria-valuemax", "aria-labelledby", "aria-label", "aria-orientation"];
+var _hoisted_3$g = ["tabindex", "aria-valuemin", "aria-valuenow", "aria-valuemax", "aria-labelledby", "aria-label", "aria-orientation"];
+function render$u(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root"),
+    onClick: _cache[15] || (_cache[15] = function() {
+      return $options.onBarClick && $options.onBarClick.apply($options, arguments);
+    })
+  }, _ctx.ptmi("root"), {
+    "data-p-sliding": false
+  }), [createBaseVNode("span", mergeProps({
+    "class": _ctx.cx("range"),
+    style: [_ctx.sx("range"), $options.rangeStyle]
+  }, _ctx.ptm("range")), null, 16), !_ctx.range ? (openBlock(), createElementBlock("span", mergeProps({
+    key: 0,
+    "class": _ctx.cx("handle"),
+    style: [_ctx.sx("handle"), $options.handleStyle],
+    onTouchstartPassive: _cache[0] || (_cache[0] = function($event) {
+      return $options.onDragStart($event);
+    }),
+    onTouchmovePassive: _cache[1] || (_cache[1] = function($event) {
+      return $options.onDrag($event);
+    }),
+    onTouchend: _cache[2] || (_cache[2] = function($event) {
+      return $options.onDragEnd($event);
+    }),
+    onMousedown: _cache[3] || (_cache[3] = function($event) {
+      return $options.onMouseDown($event);
+    }),
+    onKeydown: _cache[4] || (_cache[4] = function($event) {
+      return $options.onKeyDown($event);
+    }),
+    tabindex: _ctx.tabindex,
+    role: "slider",
+    "aria-valuemin": _ctx.min,
+    "aria-valuenow": _ctx.modelValue,
+    "aria-valuemax": _ctx.max,
+    "aria-labelledby": _ctx.ariaLabelledby,
+    "aria-label": _ctx.ariaLabel,
+    "aria-orientation": _ctx.orientation
+  }, _ctx.ptm("handle")), null, 16, _hoisted_1$M)) : createCommentVNode("", true), _ctx.range ? (openBlock(), createElementBlock("span", mergeProps({
+    key: 1,
+    "class": _ctx.cx("handle"),
+    style: [_ctx.sx("handle"), $options.rangeStartHandleStyle],
+    onTouchstartPassive: _cache[5] || (_cache[5] = function($event) {
+      return $options.onDragStart($event, 0);
+    }),
+    onTouchmovePassive: _cache[6] || (_cache[6] = function($event) {
+      return $options.onDrag($event);
+    }),
+    onTouchend: _cache[7] || (_cache[7] = function($event) {
+      return $options.onDragEnd($event);
+    }),
+    onMousedown: _cache[8] || (_cache[8] = function($event) {
+      return $options.onMouseDown($event, 0);
+    }),
+    onKeydown: _cache[9] || (_cache[9] = function($event) {
+      return $options.onKeyDown($event, 0);
+    }),
+    tabindex: _ctx.tabindex,
+    role: "slider",
+    "aria-valuemin": _ctx.min,
+    "aria-valuenow": _ctx.modelValue ? _ctx.modelValue[0] : null,
+    "aria-valuemax": _ctx.max,
+    "aria-labelledby": _ctx.ariaLabelledby,
+    "aria-label": _ctx.ariaLabel,
+    "aria-orientation": _ctx.orientation
+  }, _ctx.ptm("startHandler")), null, 16, _hoisted_2$z)) : createCommentVNode("", true), _ctx.range ? (openBlock(), createElementBlock("span", mergeProps({
+    key: 2,
+    "class": _ctx.cx("handle"),
+    style: [_ctx.sx("handle"), $options.rangeEndHandleStyle],
+    onTouchstartPassive: _cache[10] || (_cache[10] = function($event) {
+      return $options.onDragStart($event, 1);
+    }),
+    onTouchmovePassive: _cache[11] || (_cache[11] = function($event) {
+      return $options.onDrag($event);
+    }),
+    onTouchend: _cache[12] || (_cache[12] = function($event) {
+      return $options.onDragEnd($event);
+    }),
+    onMousedown: _cache[13] || (_cache[13] = function($event) {
+      return $options.onMouseDown($event, 1);
+    }),
+    onKeydown: _cache[14] || (_cache[14] = function($event) {
+      return $options.onKeyDown($event, 1);
+    }),
+    tabindex: _ctx.tabindex,
+    role: "slider",
+    "aria-valuemin": _ctx.min,
+    "aria-valuenow": _ctx.modelValue ? _ctx.modelValue[1] : null,
+    "aria-valuemax": _ctx.max,
+    "aria-labelledby": _ctx.ariaLabelledby,
+    "aria-label": _ctx.ariaLabel,
+    "aria-orientation": _ctx.orientation
+  }, _ctx.ptm("endHandler")), null, 16, _hoisted_3$g)) : createCommentVNode("", true)], 16);
+}
+__name(render$u, "render$u");
+script$v.render = render$u;
+const _withScopeId$k = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-0937e20d"), n = n(), popScopeId(), n), "_withScopeId$k");
+const _hoisted_1$L = { class: "input-slider" };
+const _sfc_main$A = /* @__PURE__ */ defineComponent({
+  __name: "InputSlider",
+  props: {
+    modelValue: {},
+    inputClass: {},
+    sliderClass: {},
+    min: {},
+    max: {},
+    step: {}
+  },
+  emits: ["update:modelValue"],
+  setup(__props, { emit: __emit }) {
+    const props = __props;
+    const emit2 = __emit;
+    const localValue = ref(props.modelValue);
+    watch(
+      () => props.modelValue,
+      (newValue) => {
+        localValue.value = newValue;
+      }
+    );
+    const updateValue3 = /* @__PURE__ */ __name((newValue) => {
+      if (newValue === null) {
+        newValue = Number(props.min) || 0;
+      }
+      const min = Number(props.min) || Number.NEGATIVE_INFINITY;
+      const max = Number(props.max) || Number.POSITIVE_INFINITY;
+      const step2 = Number(props.step) || 1;
+      newValue = Math.max(min, Math.min(max, newValue));
+      newValue = Math.round(newValue / step2) * step2;
+      localValue.value = newValue;
+      emit2("update:modelValue", newValue);
+    }, "updateValue");
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", _hoisted_1$L, [
+        createVNode(unref(script$v), {
+          modelValue: _ctx.modelValue,
+          "onUpdate:modelValue": updateValue3,
+          class: normalizeClass(["slider-part", _ctx.sliderClass]),
+          min: _ctx.min,
+          max: _ctx.max,
+          step: _ctx.step
+        }, null, 8, ["modelValue", "class", "min", "max", "step"]),
+        createVNode(unref(script$C), {
+          modelValue: _ctx.modelValue,
+          "onUpdate:modelValue": updateValue3,
+          class: normalizeClass(["input-part", _ctx.inputClass]),
+          min: _ctx.min,
+          max: _ctx.max,
+          step: _ctx.step
+        }, null, 8, ["modelValue", "class", "min", "max", "step"])
+      ]);
+    };
+  }
+});
+const InputSlider = /* @__PURE__ */ _export_sfc(_sfc_main$A, [["__scopeId", "data-v-0937e20d"]]);
+function formatCamelCase(str) {
+  const isCamelCase = /^([A-Z][a-z]*)+$/.test(str);
+  if (!isCamelCase) {
+    return str;
+  }
+  const words = str.split(/(?=[A-Z][a-z])|\d+/);
+  const processedWords = words.map((word) => {
+    if (word.length > 1 && word === word.toUpperCase()) {
+      return word;
+    }
+    return word.charAt(0).toUpperCase() + word.slice(1);
+  });
+  return processedWords.join(" ");
+}
+__name(formatCamelCase, "formatCamelCase");
+const _withScopeId$j = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-25bd5f50"), n = n(), popScopeId(), n), "_withScopeId$j");
+const _hoisted_1$K = { class: "setting-group" };
+const _hoisted_2$y = { class: "setting-label" };
+const _hoisted_3$f = {
+  key: 1,
+  class: "pi pi-info-circle info-chip"
+};
+const _hoisted_4$a = { class: "setting-input" };
+const _sfc_main$z = /* @__PURE__ */ defineComponent({
+  __name: "SettingGroup",
+  props: {
+    group: {},
+    divider: { type: Boolean }
+  },
+  setup(__props) {
+    const settingStore = useSettingStore();
+    function getSettingAttrs(setting) {
+      const attrs3 = { ...setting.attrs || {} };
+      const settingType = setting.type;
+      if (typeof settingType === "function") {
+        attrs3["renderFunction"] = () => settingType(
+          setting.name,
+          (v2) => updateSetting(setting, v2),
+          settingStore.get(setting.id),
+          setting.attrs
+        );
+      }
+      switch (setting.type) {
+        case "combo":
+          attrs3["options"] = typeof setting.options === "function" ? setting.options(settingStore.get(setting.id)) : setting.options;
+          if (typeof setting.options[0] !== "string") {
+            attrs3["optionLabel"] = "text";
+            attrs3["optionValue"] = "value";
+          }
+          break;
+      }
+      return attrs3;
+    }
+    __name(getSettingAttrs, "getSettingAttrs");
+    const updateSetting = /* @__PURE__ */ __name((setting, value3) => {
+      if (setting.onChange) setting.onChange(value3, settingStore.get(setting.id));
+      settingStore.set(setting.id, value3);
+    }, "updateSetting");
+    function getSettingComponent(setting) {
+      if (typeof setting.type === "function") {
+        return _sfc_main$B;
+      }
+      switch (setting.type) {
+        case "boolean":
+          return script$x;
+        case "number":
+          return script$C;
+        case "slider":
+          return InputSlider;
+        case "combo":
+          return script$y;
+        default:
+          return script$O;
+      }
+    }
+    __name(getSettingComponent, "getSettingComponent");
+    return (_ctx, _cache) => {
+      const _directive_tooltip = resolveDirective("tooltip");
+      return openBlock(), createElementBlock("div", _hoisted_1$K, [
+        _ctx.divider ? (openBlock(), createBlock(unref(script$F), { key: 0 })) : createCommentVNode("", true),
+        createBaseVNode("h3", null, toDisplayString$1(unref(formatCamelCase)(_ctx.group.label)), 1),
+        (openBlock(true), createElementBlock(Fragment, null, renderList(_ctx.group.settings, (setting) => {
+          return openBlock(), createElementBlock("div", {
+            key: setting.id,
+            class: "setting-item"
+          }, [
+            createBaseVNode("div", _hoisted_2$y, [
+              createBaseVNode("span", null, [
+                setting.experimental ? (openBlock(), createBlock(unref(script$w), {
+                  key: 0,
+                  value: _ctx.$t("experimental")
+                }, null, 8, ["value"])) : createCommentVNode("", true),
+                createTextVNode(" " + toDisplayString$1(setting.name) + " ", 1),
+                setting.tooltip ? withDirectives((openBlock(), createElementBlock("i", _hoisted_3$f, null, 512)), [
+                  [_directive_tooltip, setting.tooltip]
+                ]) : createCommentVNode("", true)
+              ])
+            ]),
+            createBaseVNode("div", _hoisted_4$a, [
+              (openBlock(), createBlock(resolveDynamicComponent(markRaw(getSettingComponent(setting))), mergeProps({
+                id: setting.id,
+                modelValue: unref(settingStore).get(setting.id),
+                "onUpdate:modelValue": /* @__PURE__ */ __name(($event) => updateSetting(setting, $event), "onUpdate:modelValue"),
+                ref_for: true
+              }, getSettingAttrs(setting)), null, 16, ["id", "modelValue", "onUpdate:modelValue"]))
+            ])
+          ]);
+        }), 128))
+      ]);
+    };
+  }
+});
+const SettingGroup = /* @__PURE__ */ _export_sfc(_sfc_main$z, [["__scopeId", "data-v-25bd5f50"]]);
+var lodash$1 = { exports: {} };
+/**
+ * @license
+ * Lodash <https://lodash.com/>
+ * Copyright OpenJS Foundation and other contributors <https://openjsf.org/>
+ * Released under MIT license <https://lodash.com/license>
+ * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>
+ * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors
+ */
+var lodash = lodash$1.exports;
+(function(module, exports) {
+  ;
+  (function() {
+    var undefined$1;
+    var VERSION2 = "4.17.21";
+    var LARGE_ARRAY_SIZE = 200;
+    var CORE_ERROR_TEXT = "Unsupported core-js use. Try https://npms.io/search?q=ponyfill.", FUNC_ERROR_TEXT = "Expected a function", INVALID_TEMPL_VAR_ERROR_TEXT = "Invalid `variable` option passed into `_.template`";
+    var HASH_UNDEFINED = "__lodash_hash_undefined__";
+    var MAX_MEMOIZE_SIZE = 500;
+    var PLACEHOLDER = "__lodash_placeholder__";
+    var CLONE_DEEP_FLAG = 1, CLONE_FLAT_FLAG = 2, CLONE_SYMBOLS_FLAG = 4;
+    var COMPARE_PARTIAL_FLAG = 1, COMPARE_UNORDERED_FLAG = 2;
+    var WRAP_BIND_FLAG = 1, WRAP_BIND_KEY_FLAG = 2, WRAP_CURRY_BOUND_FLAG = 4, WRAP_CURRY_FLAG = 8, WRAP_CURRY_RIGHT_FLAG = 16, WRAP_PARTIAL_FLAG = 32, WRAP_PARTIAL_RIGHT_FLAG = 64, WRAP_ARY_FLAG = 128, WRAP_REARG_FLAG = 256, WRAP_FLIP_FLAG = 512;
+    var DEFAULT_TRUNC_LENGTH = 30, DEFAULT_TRUNC_OMISSION = "...";
+    var HOT_COUNT = 800, HOT_SPAN = 16;
+    var LAZY_FILTER_FLAG = 1, LAZY_MAP_FLAG = 2, LAZY_WHILE_FLAG = 3;
+    var INFINITY2 = 1 / 0, MAX_SAFE_INTEGER = 9007199254740991, MAX_INTEGER = 17976931348623157e292, NAN = 0 / 0;
+    var MAX_ARRAY_LENGTH = 4294967295, MAX_ARRAY_INDEX = MAX_ARRAY_LENGTH - 1, HALF_MAX_ARRAY_LENGTH = MAX_ARRAY_LENGTH >>> 1;
+    var wrapFlags = [
+      ["ary", WRAP_ARY_FLAG],
+      ["bind", WRAP_BIND_FLAG],
+      ["bindKey", WRAP_BIND_KEY_FLAG],
+      ["curry", WRAP_CURRY_FLAG],
+      ["curryRight", WRAP_CURRY_RIGHT_FLAG],
+      ["flip", WRAP_FLIP_FLAG],
+      ["partial", WRAP_PARTIAL_FLAG],
+      ["partialRight", WRAP_PARTIAL_RIGHT_FLAG],
+      ["rearg", WRAP_REARG_FLAG]
+    ];
+    var argsTag = "[object Arguments]", arrayTag = "[object Array]", asyncTag = "[object AsyncFunction]", boolTag = "[object Boolean]", dateTag = "[object Date]", domExcTag = "[object DOMException]", errorTag = "[object Error]", funcTag = "[object Function]", genTag = "[object GeneratorFunction]", mapTag = "[object Map]", numberTag = "[object Number]", nullTag = "[object Null]", objectTag = "[object Object]", promiseTag = "[object Promise]", proxyTag = "[object Proxy]", regexpTag = "[object RegExp]", setTag = "[object Set]", stringTag = "[object String]", symbolTag = "[object Symbol]", undefinedTag = "[object Undefined]", weakMapTag = "[object WeakMap]", weakSetTag = "[object WeakSet]";
+    var arrayBufferTag = "[object ArrayBuffer]", dataViewTag = "[object DataView]", float32Tag = "[object Float32Array]", float64Tag = "[object Float64Array]", int8Tag = "[object Int8Array]", int16Tag = "[object Int16Array]", int32Tag = "[object Int32Array]", uint8Tag = "[object Uint8Array]", uint8ClampedTag = "[object Uint8ClampedArray]", uint16Tag = "[object Uint16Array]", uint32Tag = "[object Uint32Array]";
+    var reEmptyStringLeading = /\b__p \+= '';/g, reEmptyStringMiddle = /\b(__p \+=) '' \+/g, reEmptyStringTrailing = /(__e\(.*?\)|\b__t\)) \+\n'';/g;
+    var reEscapedHtml = /&(?:amp|lt|gt|quot|#39);/g, reUnescapedHtml = /[&<>"']/g, reHasEscapedHtml = RegExp(reEscapedHtml.source), reHasUnescapedHtml = RegExp(reUnescapedHtml.source);
+    var reEscape = /<%-([\s\S]+?)%>/g, reEvaluate = /<%([\s\S]+?)%>/g, reInterpolate = /<%=([\s\S]+?)%>/g;
+    var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, reIsPlainProp = /^\w*$/, rePropName = /[^.[\]]+|\[(?:(-?\d+(?:\.\d+)?)|(["'])((?:(?!\2)[^\\]|\\.)*?)\2)\]|(?=(?:\.|\[\])(?:\.|\[\]|$))/g;
+    var reRegExpChar = /[\\^$.*+?()[\]{}|]/g, reHasRegExpChar = RegExp(reRegExpChar.source);
+    var reTrimStart = /^\s+/;
+    var reWhitespace = /\s/;
+    var reWrapComment = /\{(?:\n\/\* \[wrapped with .+\] \*\/)?\n?/, reWrapDetails = /\{\n\/\* \[wrapped with (.+)\] \*/, reSplitDetails = /,? & /;
+    var reAsciiWord = /[^\x00-\x2f\x3a-\x40\x5b-\x60\x7b-\x7f]+/g;
+    var reForbiddenIdentifierChars = /[()=,{}\[\]\/\s]/;
+    var reEscapeChar = /\\(\\)?/g;
+    var reEsTemplate = /\$\{([^\\}]*(?:\\.[^\\}]*)*)\}/g;
+    var reFlags = /\w*$/;
+    var reIsBadHex = /^[-+]0x[0-9a-f]+$/i;
+    var reIsBinary = /^0b[01]+$/i;
+    var reIsHostCtor = /^\[object .+?Constructor\]$/;
+    var reIsOctal = /^0o[0-7]+$/i;
+    var reIsUint = /^(?:0|[1-9]\d*)$/;
+    var reLatin = /[\xc0-\xd6\xd8-\xf6\xf8-\xff\u0100-\u017f]/g;
+    var reNoMatch = /($^)/;
+    var reUnescapedString = /['\n\r\u2028\u2029\\]/g;
+    var rsAstralRange = "\\ud800-\\udfff", rsComboMarksRange = "\\u0300-\\u036f", reComboHalfMarksRange = "\\ufe20-\\ufe2f", rsComboSymbolsRange = "\\u20d0-\\u20ff", rsComboRange = rsComboMarksRange + reComboHalfMarksRange + rsComboSymbolsRange, rsDingbatRange = "\\u2700-\\u27bf", rsLowerRange = "a-z\\xdf-\\xf6\\xf8-\\xff", rsMathOpRange = "\\xac\\xb1\\xd7\\xf7", rsNonCharRange = "\\x00-\\x2f\\x3a-\\x40\\x5b-\\x60\\x7b-\\xbf", rsPunctuationRange = "\\u2000-\\u206f", rsSpaceRange = " \\t\\x0b\\f\\xa0\\ufeff\\n\\r\\u2028\\u2029\\u1680\\u180e\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200a\\u202f\\u205f\\u3000", rsUpperRange = "A-Z\\xc0-\\xd6\\xd8-\\xde", rsVarRange = "\\ufe0e\\ufe0f", rsBreakRange = rsMathOpRange + rsNonCharRange + rsPunctuationRange + rsSpaceRange;
+    var rsApos = "['’]", rsAstral = "[" + rsAstralRange + "]", rsBreak = "[" + rsBreakRange + "]", rsCombo = "[" + rsComboRange + "]", rsDigits = "\\d+", rsDingbat = "[" + rsDingbatRange + "]", rsLower = "[" + rsLowerRange + "]", rsMisc = "[^" + rsAstralRange + rsBreakRange + rsDigits + rsDingbatRange + rsLowerRange + rsUpperRange + "]", rsFitz = "\\ud83c[\\udffb-\\udfff]", rsModifier = "(?:" + rsCombo + "|" + rsFitz + ")", rsNonAstral = "[^" + rsAstralRange + "]", rsRegional = "(?:\\ud83c[\\udde6-\\uddff]){2}", rsSurrPair = "[\\ud800-\\udbff][\\udc00-\\udfff]", rsUpper = "[" + rsUpperRange + "]", rsZWJ = "\\u200d";
+    var rsMiscLower = "(?:" + rsLower + "|" + rsMisc + ")", rsMiscUpper = "(?:" + rsUpper + "|" + rsMisc + ")", rsOptContrLower = "(?:" + rsApos + "(?:d|ll|m|re|s|t|ve))?", rsOptContrUpper = "(?:" + rsApos + "(?:D|LL|M|RE|S|T|VE))?", reOptMod = rsModifier + "?", rsOptVar = "[" + rsVarRange + "]?", rsOptJoin = "(?:" + rsZWJ + "(?:" + [rsNonAstral, rsRegional, rsSurrPair].join("|") + ")" + rsOptVar + reOptMod + ")*", rsOrdLower = "\\d*(?:1st|2nd|3rd|(?![123])\\dth)(?=\\b|[A-Z_])", rsOrdUpper = "\\d*(?:1ST|2ND|3RD|(?![123])\\dTH)(?=\\b|[a-z_])", rsSeq = rsOptVar + reOptMod + rsOptJoin, rsEmoji = "(?:" + [rsDingbat, rsRegional, rsSurrPair].join("|") + ")" + rsSeq, rsSymbol = "(?:" + [rsNonAstral + rsCombo + "?", rsCombo, rsRegional, rsSurrPair, rsAstral].join("|") + ")";
+    var reApos = RegExp(rsApos, "g");
+    var reComboMark = RegExp(rsCombo, "g");
+    var reUnicode = RegExp(rsFitz + "(?=" + rsFitz + ")|" + rsSymbol + rsSeq, "g");
+    var reUnicodeWord = RegExp([
+      rsUpper + "?" + rsLower + "+" + rsOptContrLower + "(?=" + [rsBreak, rsUpper, "$"].join("|") + ")",
+      rsMiscUpper + "+" + rsOptContrUpper + "(?=" + [rsBreak, rsUpper + rsMiscLower, "$"].join("|") + ")",
+      rsUpper + "?" + rsMiscLower + "+" + rsOptContrLower,
+      rsUpper + "+" + rsOptContrUpper,
+      rsOrdUpper,
+      rsOrdLower,
+      rsDigits,
+      rsEmoji
+    ].join("|"), "g");
+    var reHasUnicode = RegExp("[" + rsZWJ + rsAstralRange + rsComboRange + rsVarRange + "]");
+    var reHasUnicodeWord = /[a-z][A-Z]|[A-Z]{2}[a-z]|[0-9][a-zA-Z]|[a-zA-Z][0-9]|[^a-zA-Z0-9 ]/;
+    var contextProps = [
+      "Array",
+      "Buffer",
+      "DataView",
+      "Date",
+      "Error",
+      "Float32Array",
+      "Float64Array",
+      "Function",
+      "Int8Array",
+      "Int16Array",
+      "Int32Array",
+      "Map",
+      "Math",
+      "Object",
+      "Promise",
+      "RegExp",
+      "Set",
+      "String",
+      "Symbol",
+      "TypeError",
+      "Uint8Array",
+      "Uint8ClampedArray",
+      "Uint16Array",
+      "Uint32Array",
+      "WeakMap",
+      "_",
+      "clearTimeout",
+      "isFinite",
+      "parseInt",
+      "setTimeout"
+    ];
+    var templateCounter = -1;
+    var typedArrayTags = {};
+    typedArrayTags[float32Tag] = typedArrayTags[float64Tag] = typedArrayTags[int8Tag] = typedArrayTags[int16Tag] = typedArrayTags[int32Tag] = typedArrayTags[uint8Tag] = typedArrayTags[uint8ClampedTag] = typedArrayTags[uint16Tag] = typedArrayTags[uint32Tag] = true;
+    typedArrayTags[argsTag] = typedArrayTags[arrayTag] = typedArrayTags[arrayBufferTag] = typedArrayTags[boolTag] = typedArrayTags[dataViewTag] = typedArrayTags[dateTag] = typedArrayTags[errorTag] = typedArrayTags[funcTag] = typedArrayTags[mapTag] = typedArrayTags[numberTag] = typedArrayTags[objectTag] = typedArrayTags[regexpTag] = typedArrayTags[setTag] = typedArrayTags[stringTag] = typedArrayTags[weakMapTag] = false;
+    var cloneableTags = {};
+    cloneableTags[argsTag] = cloneableTags[arrayTag] = cloneableTags[arrayBufferTag] = cloneableTags[dataViewTag] = cloneableTags[boolTag] = cloneableTags[dateTag] = cloneableTags[float32Tag] = cloneableTags[float64Tag] = cloneableTags[int8Tag] = cloneableTags[int16Tag] = cloneableTags[int32Tag] = cloneableTags[mapTag] = cloneableTags[numberTag] = cloneableTags[objectTag] = cloneableTags[regexpTag] = cloneableTags[setTag] = cloneableTags[stringTag] = cloneableTags[symbolTag] = cloneableTags[uint8Tag] = cloneableTags[uint8ClampedTag] = cloneableTags[uint16Tag] = cloneableTags[uint32Tag] = true;
+    cloneableTags[errorTag] = cloneableTags[funcTag] = cloneableTags[weakMapTag] = false;
+    var deburredLetters = {
+      // Latin-1 Supplement block.
+      "À": "A",
+      "Á": "A",
+      "Â": "A",
+      "Ã": "A",
+      "Ä": "A",
+      "Å": "A",
+      "à": "a",
+      "á": "a",
+      "â": "a",
+      "ã": "a",
+      "ä": "a",
+      "å": "a",
+      "Ç": "C",
+      "ç": "c",
+      "Ð": "D",
+      "ð": "d",
+      "È": "E",
+      "É": "E",
+      "Ê": "E",
+      "Ë": "E",
+      "è": "e",
+      "é": "e",
+      "ê": "e",
+      "ë": "e",
+      "Ì": "I",
+      "Í": "I",
+      "Î": "I",
+      "Ï": "I",
+      "ì": "i",
+      "í": "i",
+      "î": "i",
+      "ï": "i",
+      "Ñ": "N",
+      "ñ": "n",
+      "Ò": "O",
+      "Ó": "O",
+      "Ô": "O",
+      "Õ": "O",
+      "Ö": "O",
+      "Ø": "O",
+      "ò": "o",
+      "ó": "o",
+      "ô": "o",
+      "õ": "o",
+      "ö": "o",
+      "ø": "o",
+      "Ù": "U",
+      "Ú": "U",
+      "Û": "U",
+      "Ü": "U",
+      "ù": "u",
+      "ú": "u",
+      "û": "u",
+      "ü": "u",
+      "Ý": "Y",
+      "ý": "y",
+      "ÿ": "y",
+      "Æ": "Ae",
+      "æ": "ae",
+      "Þ": "Th",
+      "þ": "th",
+      "ß": "ss",
+      // Latin Extended-A block.
+      "Ā": "A",
+      "Ă": "A",
+      "Ą": "A",
+      "ā": "a",
+      "ă": "a",
+      "ą": "a",
+      "Ć": "C",
+      "Ĉ": "C",
+      "Ċ": "C",
+      "Č": "C",
+      "ć": "c",
+      "ĉ": "c",
+      "ċ": "c",
+      "č": "c",
+      "Ď": "D",
+      "Đ": "D",
+      "ď": "d",
+      "đ": "d",
+      "Ē": "E",
+      "Ĕ": "E",
+      "Ė": "E",
+      "Ę": "E",
+      "Ě": "E",
+      "ē": "e",
+      "ĕ": "e",
+      "ė": "e",
+      "ę": "e",
+      "ě": "e",
+      "Ĝ": "G",
+      "Ğ": "G",
+      "Ġ": "G",
+      "Ģ": "G",
+      "ĝ": "g",
+      "ğ": "g",
+      "ġ": "g",
+      "ģ": "g",
+      "Ĥ": "H",
+      "Ħ": "H",
+      "ĥ": "h",
+      "ħ": "h",
+      "Ĩ": "I",
+      "Ī": "I",
+      "Ĭ": "I",
+      "Į": "I",
+      "İ": "I",
+      "ĩ": "i",
+      "ī": "i",
+      "ĭ": "i",
+      "į": "i",
+      "ı": "i",
+      "Ĵ": "J",
+      "ĵ": "j",
+      "Ķ": "K",
+      "ķ": "k",
+      "ĸ": "k",
+      "Ĺ": "L",
+      "Ļ": "L",
+      "Ľ": "L",
+      "Ŀ": "L",
+      "Ł": "L",
+      "ĺ": "l",
+      "ļ": "l",
+      "ľ": "l",
+      "ŀ": "l",
+      "ł": "l",
+      "Ń": "N",
+      "Ņ": "N",
+      "Ň": "N",
+      "Ŋ": "N",
+      "ń": "n",
+      "ņ": "n",
+      "ň": "n",
+      "ŋ": "n",
+      "Ō": "O",
+      "Ŏ": "O",
+      "Ő": "O",
+      "ō": "o",
+      "ŏ": "o",
+      "ő": "o",
+      "Ŕ": "R",
+      "Ŗ": "R",
+      "Ř": "R",
+      "ŕ": "r",
+      "ŗ": "r",
+      "ř": "r",
+      "Ś": "S",
+      "Ŝ": "S",
+      "Ş": "S",
+      "Š": "S",
+      "ś": "s",
+      "ŝ": "s",
+      "ş": "s",
+      "š": "s",
+      "Ţ": "T",
+      "Ť": "T",
+      "Ŧ": "T",
+      "ţ": "t",
+      "ť": "t",
+      "ŧ": "t",
+      "Ũ": "U",
+      "Ū": "U",
+      "Ŭ": "U",
+      "Ů": "U",
+      "Ű": "U",
+      "Ų": "U",
+      "ũ": "u",
+      "ū": "u",
+      "ŭ": "u",
+      "ů": "u",
+      "ű": "u",
+      "ų": "u",
+      "Ŵ": "W",
+      "ŵ": "w",
+      "Ŷ": "Y",
+      "ŷ": "y",
+      "Ÿ": "Y",
+      "Ź": "Z",
+      "Ż": "Z",
+      "Ž": "Z",
+      "ź": "z",
+      "ż": "z",
+      "ž": "z",
+      "IJ": "IJ",
+      "ij": "ij",
+      "Œ": "Oe",
+      "œ": "oe",
+      "ʼn": "'n",
+      "ſ": "s"
+    };
+    var htmlEscapes = {
+      "&": "&amp;",
+      "<": "&lt;",
+      ">": "&gt;",
+      '"': "&quot;",
+      "'": "&#39;"
+    };
+    var htmlUnescapes = {
+      "&amp;": "&",
+      "&lt;": "<",
+      "&gt;": ">",
+      "&quot;": '"',
+      "&#39;": "'"
+    };
+    var stringEscapes = {
+      "\\": "\\",
+      "'": "'",
+      "\n": "n",
+      "\r": "r",
+      "\u2028": "u2028",
+      "\u2029": "u2029"
+    };
+    var freeParseFloat = parseFloat, freeParseInt = parseInt;
+    var freeGlobal = typeof commonjsGlobal == "object" && commonjsGlobal && commonjsGlobal.Object === Object && commonjsGlobal;
+    var freeSelf = typeof self == "object" && self && self.Object === Object && self;
+    var root26 = freeGlobal || freeSelf || Function("return this")();
+    var freeExports = exports && !exports.nodeType && exports;
+    var freeModule = freeExports && true && module && !module.nodeType && module;
+    var moduleExports = freeModule && freeModule.exports === freeExports;
+    var freeProcess = moduleExports && freeGlobal.process;
+    var nodeUtil = function() {
+      try {
+        var types = freeModule && freeModule.require && freeModule.require("util").types;
+        if (types) {
+          return types;
+        }
+        return freeProcess && freeProcess.binding && freeProcess.binding("util");
+      } catch (e) {
+      }
+    }();
+    var nodeIsArrayBuffer = nodeUtil && nodeUtil.isArrayBuffer, nodeIsDate = nodeUtil && nodeUtil.isDate, nodeIsMap = nodeUtil && nodeUtil.isMap, nodeIsRegExp = nodeUtil && nodeUtil.isRegExp, nodeIsSet = nodeUtil && nodeUtil.isSet, nodeIsTypedArray = nodeUtil && nodeUtil.isTypedArray;
+    function apply2(func, thisArg, args) {
+      switch (args.length) {
+        case 0:
+          return func.call(thisArg);
+        case 1:
+          return func.call(thisArg, args[0]);
+        case 2:
+          return func.call(thisArg, args[0], args[1]);
+        case 3:
+          return func.call(thisArg, args[0], args[1], args[2]);
+      }
+      return func.apply(thisArg, args);
+    }
+    __name(apply2, "apply");
+    function arrayAggregator(array, setter, iteratee, accumulator) {
+      var index2 = -1, length = array == null ? 0 : array.length;
+      while (++index2 < length) {
+        var value3 = array[index2];
+        setter(accumulator, value3, iteratee(value3), array);
+      }
+      return accumulator;
+    }
+    __name(arrayAggregator, "arrayAggregator");
+    function arrayEach(array, iteratee) {
+      var index2 = -1, length = array == null ? 0 : array.length;
+      while (++index2 < length) {
+        if (iteratee(array[index2], index2, array) === false) {
+          break;
+        }
+      }
+      return array;
+    }
+    __name(arrayEach, "arrayEach");
+    function arrayEachRight(array, iteratee) {
+      var length = array == null ? 0 : array.length;
+      while (length--) {
+        if (iteratee(array[length], length, array) === false) {
+          break;
+        }
+      }
+      return array;
+    }
+    __name(arrayEachRight, "arrayEachRight");
+    function arrayEvery(array, predicate) {
+      var index2 = -1, length = array == null ? 0 : array.length;
+      while (++index2 < length) {
+        if (!predicate(array[index2], index2, array)) {
+          return false;
+        }
+      }
+      return true;
+    }
+    __name(arrayEvery, "arrayEvery");
+    function arrayFilter(array, predicate) {
+      var index2 = -1, length = array == null ? 0 : array.length, resIndex = 0, result = [];
+      while (++index2 < length) {
+        var value3 = array[index2];
+        if (predicate(value3, index2, array)) {
+          result[resIndex++] = value3;
+        }
+      }
+      return result;
+    }
+    __name(arrayFilter, "arrayFilter");
+    function arrayIncludes(array, value3) {
+      var length = array == null ? 0 : array.length;
+      return !!length && baseIndexOf(array, value3, 0) > -1;
+    }
+    __name(arrayIncludes, "arrayIncludes");
+    function arrayIncludesWith(array, value3, comparator2) {
+      var index2 = -1, length = array == null ? 0 : array.length;
+      while (++index2 < length) {
+        if (comparator2(value3, array[index2])) {
+          return true;
+        }
+      }
+      return false;
+    }
+    __name(arrayIncludesWith, "arrayIncludesWith");
+    function arrayMap(array, iteratee) {
+      var index2 = -1, length = array == null ? 0 : array.length, result = Array(length);
+      while (++index2 < length) {
+        result[index2] = iteratee(array[index2], index2, array);
+      }
+      return result;
+    }
+    __name(arrayMap, "arrayMap");
+    function arrayPush(array, values2) {
+      var index2 = -1, length = values2.length, offset = array.length;
+      while (++index2 < length) {
+        array[offset + index2] = values2[index2];
+      }
+      return array;
+    }
+    __name(arrayPush, "arrayPush");
+    function arrayReduce(array, iteratee, accumulator, initAccum) {
+      var index2 = -1, length = array == null ? 0 : array.length;
+      if (initAccum && length) {
+        accumulator = array[++index2];
+      }
+      while (++index2 < length) {
+        accumulator = iteratee(accumulator, array[index2], index2, array);
+      }
+      return accumulator;
+    }
+    __name(arrayReduce, "arrayReduce");
+    function arrayReduceRight(array, iteratee, accumulator, initAccum) {
+      var length = array == null ? 0 : array.length;
+      if (initAccum && length) {
+        accumulator = array[--length];
+      }
+      while (length--) {
+        accumulator = iteratee(accumulator, array[length], length, array);
+      }
+      return accumulator;
+    }
+    __name(arrayReduceRight, "arrayReduceRight");
+    function arraySome(array, predicate) {
+      var index2 = -1, length = array == null ? 0 : array.length;
+      while (++index2 < length) {
+        if (predicate(array[index2], index2, array)) {
+          return true;
+        }
+      }
+      return false;
+    }
+    __name(arraySome, "arraySome");
+    var asciiSize = baseProperty("length");
+    function asciiToArray(string) {
+      return string.split("");
+    }
+    __name(asciiToArray, "asciiToArray");
+    function asciiWords(string) {
+      return string.match(reAsciiWord) || [];
+    }
+    __name(asciiWords, "asciiWords");
+    function baseFindKey(collection, predicate, eachFunc) {
+      var result;
+      eachFunc(collection, function(value3, key, collection2) {
+        if (predicate(value3, key, collection2)) {
+          result = key;
+          return false;
+        }
+      });
+      return result;
+    }
+    __name(baseFindKey, "baseFindKey");
+    function baseFindIndex(array, predicate, fromIndex, fromRight) {
+      var length = array.length, index2 = fromIndex + (fromRight ? 1 : -1);
+      while (fromRight ? index2-- : ++index2 < length) {
+        if (predicate(array[index2], index2, array)) {
+          return index2;
+        }
+      }
+      return -1;
+    }
+    __name(baseFindIndex, "baseFindIndex");
+    function baseIndexOf(array, value3, fromIndex) {
+      return value3 === value3 ? strictIndexOf(array, value3, fromIndex) : baseFindIndex(array, baseIsNaN, fromIndex);
+    }
+    __name(baseIndexOf, "baseIndexOf");
+    function baseIndexOfWith(array, value3, fromIndex, comparator2) {
+      var index2 = fromIndex - 1, length = array.length;
+      while (++index2 < length) {
+        if (comparator2(array[index2], value3)) {
+          return index2;
+        }
+      }
+      return -1;
+    }
+    __name(baseIndexOfWith, "baseIndexOfWith");
+    function baseIsNaN(value3) {
+      return value3 !== value3;
+    }
+    __name(baseIsNaN, "baseIsNaN");
+    function baseMean(array, iteratee) {
+      var length = array == null ? 0 : array.length;
+      return length ? baseSum(array, iteratee) / length : NAN;
+    }
+    __name(baseMean, "baseMean");
+    function baseProperty(key) {
+      return function(object) {
+        return object == null ? undefined$1 : object[key];
+      };
+    }
+    __name(baseProperty, "baseProperty");
+    function basePropertyOf(object) {
+      return function(key) {
+        return object == null ? undefined$1 : object[key];
+      };
+    }
+    __name(basePropertyOf, "basePropertyOf");
+    function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) {
+      eachFunc(collection, function(value3, index2, collection2) {
+        accumulator = initAccum ? (initAccum = false, value3) : iteratee(accumulator, value3, index2, collection2);
+      });
+      return accumulator;
+    }
+    __name(baseReduce, "baseReduce");
+    function baseSortBy(array, comparer) {
+      var length = array.length;
+      array.sort(comparer);
+      while (length--) {
+        array[length] = array[length].value;
+      }
+      return array;
+    }
+    __name(baseSortBy, "baseSortBy");
+    function baseSum(array, iteratee) {
+      var result, index2 = -1, length = array.length;
+      while (++index2 < length) {
+        var current = iteratee(array[index2]);
+        if (current !== undefined$1) {
+          result = result === undefined$1 ? current : result + current;
+        }
+      }
+      return result;
+    }
+    __name(baseSum, "baseSum");
+    function baseTimes(n, iteratee) {
+      var index2 = -1, result = Array(n);
+      while (++index2 < n) {
+        result[index2] = iteratee(index2);
+      }
+      return result;
+    }
+    __name(baseTimes, "baseTimes");
+    function baseToPairs(object, props) {
+      return arrayMap(props, function(key) {
+        return [key, object[key]];
+      });
+    }
+    __name(baseToPairs, "baseToPairs");
+    function baseTrim(string) {
+      return string ? string.slice(0, trimmedEndIndex(string) + 1).replace(reTrimStart, "") : string;
+    }
+    __name(baseTrim, "baseTrim");
+    function baseUnary(func) {
+      return function(value3) {
+        return func(value3);
+      };
+    }
+    __name(baseUnary, "baseUnary");
+    function baseValues(object, props) {
+      return arrayMap(props, function(key) {
+        return object[key];
+      });
+    }
+    __name(baseValues, "baseValues");
+    function cacheHas(cache2, key) {
+      return cache2.has(key);
+    }
+    __name(cacheHas, "cacheHas");
+    function charsStartIndex(strSymbols, chrSymbols) {
+      var index2 = -1, length = strSymbols.length;
+      while (++index2 < length && baseIndexOf(chrSymbols, strSymbols[index2], 0) > -1) {
+      }
+      return index2;
+    }
+    __name(charsStartIndex, "charsStartIndex");
+    function charsEndIndex(strSymbols, chrSymbols) {
+      var index2 = strSymbols.length;
+      while (index2-- && baseIndexOf(chrSymbols, strSymbols[index2], 0) > -1) {
+      }
+      return index2;
+    }
+    __name(charsEndIndex, "charsEndIndex");
+    function countHolders(array, placeholder) {
+      var length = array.length, result = 0;
+      while (length--) {
+        if (array[length] === placeholder) {
+          ++result;
+        }
+      }
+      return result;
+    }
+    __name(countHolders, "countHolders");
+    var deburrLetter = basePropertyOf(deburredLetters);
+    var escapeHtmlChar = basePropertyOf(htmlEscapes);
+    function escapeStringChar(chr) {
+      return "\\" + stringEscapes[chr];
+    }
+    __name(escapeStringChar, "escapeStringChar");
+    function getValue2(object, key) {
+      return object == null ? undefined$1 : object[key];
+    }
+    __name(getValue2, "getValue");
+    function hasUnicode(string) {
+      return reHasUnicode.test(string);
+    }
+    __name(hasUnicode, "hasUnicode");
+    function hasUnicodeWord(string) {
+      return reHasUnicodeWord.test(string);
+    }
+    __name(hasUnicodeWord, "hasUnicodeWord");
+    function iteratorToArray(iterator) {
+      var data24, result = [];
+      while (!(data24 = iterator.next()).done) {
+        result.push(data24.value);
+      }
+      return result;
+    }
+    __name(iteratorToArray, "iteratorToArray");
+    function mapToArray(map2) {
+      var index2 = -1, result = Array(map2.size);
+      map2.forEach(function(value3, key) {
+        result[++index2] = [key, value3];
+      });
+      return result;
+    }
+    __name(mapToArray, "mapToArray");
+    function overArg(func, transform2) {
+      return function(arg) {
+        return func(transform2(arg));
+      };
+    }
+    __name(overArg, "overArg");
+    function replaceHolders(array, placeholder) {
+      var index2 = -1, length = array.length, resIndex = 0, result = [];
+      while (++index2 < length) {
+        var value3 = array[index2];
+        if (value3 === placeholder || value3 === PLACEHOLDER) {
+          array[index2] = PLACEHOLDER;
+          result[resIndex++] = index2;
+        }
+      }
+      return result;
+    }
+    __name(replaceHolders, "replaceHolders");
+    function setToArray(set2) {
+      var index2 = -1, result = Array(set2.size);
+      set2.forEach(function(value3) {
+        result[++index2] = value3;
+      });
+      return result;
+    }
+    __name(setToArray, "setToArray");
+    function setToPairs(set2) {
+      var index2 = -1, result = Array(set2.size);
+      set2.forEach(function(value3) {
+        result[++index2] = [value3, value3];
+      });
+      return result;
+    }
+    __name(setToPairs, "setToPairs");
+    function strictIndexOf(array, value3, fromIndex) {
+      var index2 = fromIndex - 1, length = array.length;
+      while (++index2 < length) {
+        if (array[index2] === value3) {
+          return index2;
+        }
+      }
+      return -1;
+    }
+    __name(strictIndexOf, "strictIndexOf");
+    function strictLastIndexOf(array, value3, fromIndex) {
+      var index2 = fromIndex + 1;
+      while (index2--) {
+        if (array[index2] === value3) {
+          return index2;
+        }
+      }
+      return index2;
+    }
+    __name(strictLastIndexOf, "strictLastIndexOf");
+    function stringSize(string) {
+      return hasUnicode(string) ? unicodeSize(string) : asciiSize(string);
+    }
+    __name(stringSize, "stringSize");
+    function stringToArray(string) {
+      return hasUnicode(string) ? unicodeToArray(string) : asciiToArray(string);
+    }
+    __name(stringToArray, "stringToArray");
+    function trimmedEndIndex(string) {
+      var index2 = string.length;
+      while (index2-- && reWhitespace.test(string.charAt(index2))) {
+      }
+      return index2;
+    }
+    __name(trimmedEndIndex, "trimmedEndIndex");
+    var unescapeHtmlChar = basePropertyOf(htmlUnescapes);
+    function unicodeSize(string) {
+      var result = reUnicode.lastIndex = 0;
+      while (reUnicode.test(string)) {
+        ++result;
+      }
+      return result;
+    }
+    __name(unicodeSize, "unicodeSize");
+    function unicodeToArray(string) {
+      return string.match(reUnicode) || [];
+    }
+    __name(unicodeToArray, "unicodeToArray");
+    function unicodeWords(string) {
+      return string.match(reUnicodeWord) || [];
+    }
+    __name(unicodeWords, "unicodeWords");
+    var runInContext = /* @__PURE__ */ __name(function runInContext2(context) {
+      context = context == null ? root26 : _2.defaults(root26.Object(), context, _2.pick(root26, contextProps));
+      var Array2 = context.Array, Date2 = context.Date, Error2 = context.Error, Function2 = context.Function, Math2 = context.Math, Object2 = context.Object, RegExp2 = context.RegExp, String2 = context.String, TypeError2 = context.TypeError;
+      var arrayProto = Array2.prototype, funcProto = Function2.prototype, objectProto = Object2.prototype;
+      var coreJsData = context["__core-js_shared__"];
+      var funcToString = funcProto.toString;
+      var hasOwnProperty2 = objectProto.hasOwnProperty;
+      var idCounter = 0;
+      var maskSrcKey = function() {
+        var uid2 = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || "");
+        return uid2 ? "Symbol(src)_1." + uid2 : "";
+      }();
+      var nativeObjectToString = objectProto.toString;
+      var objectCtorString = funcToString.call(Object2);
+      var oldDash = root26._;
+      var reIsNative = RegExp2(
+        "^" + funcToString.call(hasOwnProperty2).replace(reRegExpChar, "\\$&").replace(/hasOwnProperty|(function).*?(?=\\\()| for .+?(?=\\\])/g, "$1.*?") + "$"
+      );
+      var Buffer2 = moduleExports ? context.Buffer : undefined$1, Symbol2 = context.Symbol, Uint8Array2 = context.Uint8Array, allocUnsafe = Buffer2 ? Buffer2.allocUnsafe : undefined$1, getPrototype = overArg(Object2.getPrototypeOf, Object2), objectCreate = Object2.create, propertyIsEnumerable = objectProto.propertyIsEnumerable, splice = arrayProto.splice, spreadableSymbol = Symbol2 ? Symbol2.isConcatSpreadable : undefined$1, symIterator = Symbol2 ? Symbol2.iterator : undefined$1, symToStringTag = Symbol2 ? Symbol2.toStringTag : undefined$1;
+      var defineProperty = function() {
+        try {
+          var func = getNative(Object2, "defineProperty");
+          func({}, "", {});
+          return func;
+        } catch (e) {
+        }
+      }();
+      var ctxClearTimeout = context.clearTimeout !== root26.clearTimeout && context.clearTimeout, ctxNow = Date2 && Date2.now !== root26.Date.now && Date2.now, ctxSetTimeout = context.setTimeout !== root26.setTimeout && context.setTimeout;
+      var nativeCeil = Math2.ceil, nativeFloor = Math2.floor, nativeGetSymbols = Object2.getOwnPropertySymbols, nativeIsBuffer = Buffer2 ? Buffer2.isBuffer : undefined$1, nativeIsFinite = context.isFinite, nativeJoin = arrayProto.join, nativeKeys = overArg(Object2.keys, Object2), nativeMax = Math2.max, nativeMin = Math2.min, nativeNow = Date2.now, nativeParseInt = context.parseInt, nativeRandom = Math2.random, nativeReverse = arrayProto.reverse;
+      var DataView2 = getNative(context, "DataView"), Map2 = getNative(context, "Map"), Promise2 = getNative(context, "Promise"), Set2 = getNative(context, "Set"), WeakMap2 = getNative(context, "WeakMap"), nativeCreate = getNative(Object2, "create");
+      var metaMap = WeakMap2 && new WeakMap2();
+      var realNames = {};
+      var dataViewCtorString = toSource(DataView2), mapCtorString = toSource(Map2), promiseCtorString = toSource(Promise2), setCtorString = toSource(Set2), weakMapCtorString = toSource(WeakMap2);
+      var symbolProto = Symbol2 ? Symbol2.prototype : undefined$1, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined$1, symbolToString = symbolProto ? symbolProto.toString : undefined$1;
+      function lodash2(value3) {
+        if (isObjectLike2(value3) && !isArray3(value3) && !(value3 instanceof LazyWrapper)) {
+          if (value3 instanceof LodashWrapper) {
+            return value3;
+          }
+          if (hasOwnProperty2.call(value3, "__wrapped__")) {
+            return wrapperClone(value3);
+          }
+        }
+        return new LodashWrapper(value3);
+      }
+      __name(lodash2, "lodash");
+      var baseCreate = /* @__PURE__ */ function() {
+        function object() {
+        }
+        __name(object, "object");
+        return function(proto) {
+          if (!isObject3(proto)) {
+            return {};
+          }
+          if (objectCreate) {
+            return objectCreate(proto);
+          }
+          object.prototype = proto;
+          var result2 = new object();
+          object.prototype = undefined$1;
+          return result2;
+        };
+      }();
+      function baseLodash() {
+      }
+      __name(baseLodash, "baseLodash");
+      function LodashWrapper(value3, chainAll) {
+        this.__wrapped__ = value3;
+        this.__actions__ = [];
+        this.__chain__ = !!chainAll;
+        this.__index__ = 0;
+        this.__values__ = undefined$1;
+      }
+      __name(LodashWrapper, "LodashWrapper");
+      lodash2.templateSettings = {
+        /**
+         * Used to detect `data` property values to be HTML-escaped.
+         *
+         * @memberOf _.templateSettings
+         * @type {RegExp}
+         */
+        "escape": reEscape,
+        /**
+         * Used to detect code to be evaluated.
+         *
+         * @memberOf _.templateSettings
+         * @type {RegExp}
+         */
+        "evaluate": reEvaluate,
+        /**
+         * Used to detect `data` property values to inject.
+         *
+         * @memberOf _.templateSettings
+         * @type {RegExp}
+         */
+        "interpolate": reInterpolate,
+        /**
+         * Used to reference the data object in the template text.
+         *
+         * @memberOf _.templateSettings
+         * @type {string}
+         */
+        "variable": "",
+        /**
+         * Used to import variables into the compiled template.
+         *
+         * @memberOf _.templateSettings
+         * @type {Object}
+         */
+        "imports": {
+          /**
+           * A reference to the `lodash` function.
+           *
+           * @memberOf _.templateSettings.imports
+           * @type {Function}
+           */
+          "_": lodash2
+        }
+      };
+      lodash2.prototype = baseLodash.prototype;
+      lodash2.prototype.constructor = lodash2;
+      LodashWrapper.prototype = baseCreate(baseLodash.prototype);
+      LodashWrapper.prototype.constructor = LodashWrapper;
+      function LazyWrapper(value3) {
+        this.__wrapped__ = value3;
+        this.__actions__ = [];
+        this.__dir__ = 1;
+        this.__filtered__ = false;
+        this.__iteratees__ = [];
+        this.__takeCount__ = MAX_ARRAY_LENGTH;
+        this.__views__ = [];
+      }
+      __name(LazyWrapper, "LazyWrapper");
+      function lazyClone() {
+        var result2 = new LazyWrapper(this.__wrapped__);
+        result2.__actions__ = copyArray(this.__actions__);
+        result2.__dir__ = this.__dir__;
+        result2.__filtered__ = this.__filtered__;
+        result2.__iteratees__ = copyArray(this.__iteratees__);
+        result2.__takeCount__ = this.__takeCount__;
+        result2.__views__ = copyArray(this.__views__);
+        return result2;
+      }
+      __name(lazyClone, "lazyClone");
+      function lazyReverse() {
+        if (this.__filtered__) {
+          var result2 = new LazyWrapper(this);
+          result2.__dir__ = -1;
+          result2.__filtered__ = true;
+        } else {
+          result2 = this.clone();
+          result2.__dir__ *= -1;
+        }
+        return result2;
+      }
+      __name(lazyReverse, "lazyReverse");
+      function lazyValue() {
+        var array = this.__wrapped__.value(), dir = this.__dir__, isArr = isArray3(array), isRight = dir < 0, arrLength = isArr ? array.length : 0, view = getView(0, arrLength, this.__views__), start2 = view.start, end = view.end, length = end - start2, index2 = isRight ? end : start2 - 1, iteratees = this.__iteratees__, iterLength = iteratees.length, resIndex = 0, takeCount = nativeMin(length, this.__takeCount__);
+        if (!isArr || !isRight && arrLength == length && takeCount == length) {
+          return baseWrapperValue(array, this.__actions__);
+        }
+        var result2 = [];
+        outer:
+          while (length-- && resIndex < takeCount) {
+            index2 += dir;
+            var iterIndex = -1, value3 = array[index2];
+            while (++iterIndex < iterLength) {
+              var data24 = iteratees[iterIndex], iteratee2 = data24.iteratee, type = data24.type, computed2 = iteratee2(value3);
+              if (type == LAZY_MAP_FLAG) {
+                value3 = computed2;
+              } else if (!computed2) {
+                if (type == LAZY_FILTER_FLAG) {
+                  continue outer;
+                } else {
+                  break outer;
+                }
+              }
+            }
+            result2[resIndex++] = value3;
+          }
+        return result2;
+      }
+      __name(lazyValue, "lazyValue");
+      LazyWrapper.prototype = baseCreate(baseLodash.prototype);
+      LazyWrapper.prototype.constructor = LazyWrapper;
+      function Hash(entries) {
+        var index2 = -1, length = entries == null ? 0 : entries.length;
+        this.clear();
+        while (++index2 < length) {
+          var entry = entries[index2];
+          this.set(entry[0], entry[1]);
+        }
+      }
+      __name(Hash, "Hash");
+      function hashClear() {
+        this.__data__ = nativeCreate ? nativeCreate(null) : {};
+        this.size = 0;
+      }
+      __name(hashClear, "hashClear");
+      function hashDelete(key) {
+        var result2 = this.has(key) && delete this.__data__[key];
+        this.size -= result2 ? 1 : 0;
+        return result2;
+      }
+      __name(hashDelete, "hashDelete");
+      function hashGet(key) {
+        var data24 = this.__data__;
+        if (nativeCreate) {
+          var result2 = data24[key];
+          return result2 === HASH_UNDEFINED ? undefined$1 : result2;
+        }
+        return hasOwnProperty2.call(data24, key) ? data24[key] : undefined$1;
+      }
+      __name(hashGet, "hashGet");
+      function hashHas(key) {
+        var data24 = this.__data__;
+        return nativeCreate ? data24[key] !== undefined$1 : hasOwnProperty2.call(data24, key);
+      }
+      __name(hashHas, "hashHas");
+      function hashSet(key, value3) {
+        var data24 = this.__data__;
+        this.size += this.has(key) ? 0 : 1;
+        data24[key] = nativeCreate && value3 === undefined$1 ? HASH_UNDEFINED : value3;
+        return this;
+      }
+      __name(hashSet, "hashSet");
+      Hash.prototype.clear = hashClear;
+      Hash.prototype["delete"] = hashDelete;
+      Hash.prototype.get = hashGet;
+      Hash.prototype.has = hashHas;
+      Hash.prototype.set = hashSet;
+      function ListCache(entries) {
+        var index2 = -1, length = entries == null ? 0 : entries.length;
+        this.clear();
+        while (++index2 < length) {
+          var entry = entries[index2];
+          this.set(entry[0], entry[1]);
+        }
+      }
+      __name(ListCache, "ListCache");
+      function listCacheClear() {
+        this.__data__ = [];
+        this.size = 0;
+      }
+      __name(listCacheClear, "listCacheClear");
+      function listCacheDelete(key) {
+        var data24 = this.__data__, index2 = assocIndexOf(data24, key);
+        if (index2 < 0) {
+          return false;
+        }
+        var lastIndex = data24.length - 1;
+        if (index2 == lastIndex) {
+          data24.pop();
+        } else {
+          splice.call(data24, index2, 1);
+        }
+        --this.size;
+        return true;
+      }
+      __name(listCacheDelete, "listCacheDelete");
+      function listCacheGet(key) {
+        var data24 = this.__data__, index2 = assocIndexOf(data24, key);
+        return index2 < 0 ? undefined$1 : data24[index2][1];
+      }
+      __name(listCacheGet, "listCacheGet");
+      function listCacheHas(key) {
+        return assocIndexOf(this.__data__, key) > -1;
+      }
+      __name(listCacheHas, "listCacheHas");
+      function listCacheSet(key, value3) {
+        var data24 = this.__data__, index2 = assocIndexOf(data24, key);
+        if (index2 < 0) {
+          ++this.size;
+          data24.push([key, value3]);
+        } else {
+          data24[index2][1] = value3;
+        }
+        return this;
+      }
+      __name(listCacheSet, "listCacheSet");
+      ListCache.prototype.clear = listCacheClear;
+      ListCache.prototype["delete"] = listCacheDelete;
+      ListCache.prototype.get = listCacheGet;
+      ListCache.prototype.has = listCacheHas;
+      ListCache.prototype.set = listCacheSet;
+      function MapCache(entries) {
+        var index2 = -1, length = entries == null ? 0 : entries.length;
+        this.clear();
+        while (++index2 < length) {
+          var entry = entries[index2];
+          this.set(entry[0], entry[1]);
+        }
+      }
+      __name(MapCache, "MapCache");
+      function mapCacheClear() {
+        this.size = 0;
+        this.__data__ = {
+          "hash": new Hash(),
+          "map": new (Map2 || ListCache)(),
+          "string": new Hash()
+        };
+      }
+      __name(mapCacheClear, "mapCacheClear");
+      function mapCacheDelete(key) {
+        var result2 = getMapData(this, key)["delete"](key);
+        this.size -= result2 ? 1 : 0;
+        return result2;
+      }
+      __name(mapCacheDelete, "mapCacheDelete");
+      function mapCacheGet(key) {
+        return getMapData(this, key).get(key);
+      }
+      __name(mapCacheGet, "mapCacheGet");
+      function mapCacheHas(key) {
+        return getMapData(this, key).has(key);
+      }
+      __name(mapCacheHas, "mapCacheHas");
+      function mapCacheSet(key, value3) {
+        var data24 = getMapData(this, key), size3 = data24.size;
+        data24.set(key, value3);
+        this.size += data24.size == size3 ? 0 : 1;
+        return this;
+      }
+      __name(mapCacheSet, "mapCacheSet");
+      MapCache.prototype.clear = mapCacheClear;
+      MapCache.prototype["delete"] = mapCacheDelete;
+      MapCache.prototype.get = mapCacheGet;
+      MapCache.prototype.has = mapCacheHas;
+      MapCache.prototype.set = mapCacheSet;
+      function SetCache(values3) {
+        var index2 = -1, length = values3 == null ? 0 : values3.length;
+        this.__data__ = new MapCache();
+        while (++index2 < length) {
+          this.add(values3[index2]);
+        }
+      }
+      __name(SetCache, "SetCache");
+      function setCacheAdd(value3) {
+        this.__data__.set(value3, HASH_UNDEFINED);
+        return this;
+      }
+      __name(setCacheAdd, "setCacheAdd");
+      function setCacheHas(value3) {
+        return this.__data__.has(value3);
+      }
+      __name(setCacheHas, "setCacheHas");
+      SetCache.prototype.add = SetCache.prototype.push = setCacheAdd;
+      SetCache.prototype.has = setCacheHas;
+      function Stack(entries) {
+        var data24 = this.__data__ = new ListCache(entries);
+        this.size = data24.size;
+      }
+      __name(Stack, "Stack");
+      function stackClear() {
+        this.__data__ = new ListCache();
+        this.size = 0;
+      }
+      __name(stackClear, "stackClear");
+      function stackDelete(key) {
+        var data24 = this.__data__, result2 = data24["delete"](key);
+        this.size = data24.size;
+        return result2;
+      }
+      __name(stackDelete, "stackDelete");
+      function stackGet(key) {
+        return this.__data__.get(key);
+      }
+      __name(stackGet, "stackGet");
+      function stackHas(key) {
+        return this.__data__.has(key);
+      }
+      __name(stackHas, "stackHas");
+      function stackSet(key, value3) {
+        var data24 = this.__data__;
+        if (data24 instanceof ListCache) {
+          var pairs = data24.__data__;
+          if (!Map2 || pairs.length < LARGE_ARRAY_SIZE - 1) {
+            pairs.push([key, value3]);
+            this.size = ++data24.size;
+            return this;
+          }
+          data24 = this.__data__ = new MapCache(pairs);
+        }
+        data24.set(key, value3);
+        this.size = data24.size;
+        return this;
+      }
+      __name(stackSet, "stackSet");
+      Stack.prototype.clear = stackClear;
+      Stack.prototype["delete"] = stackDelete;
+      Stack.prototype.get = stackGet;
+      Stack.prototype.has = stackHas;
+      Stack.prototype.set = stackSet;
+      function arrayLikeKeys(value3, inherited) {
+        var isArr = isArray3(value3), isArg = !isArr && isArguments(value3), isBuff = !isArr && !isArg && isBuffer2(value3), isType = !isArr && !isArg && !isBuff && isTypedArray2(value3), skipIndexes = isArr || isArg || isBuff || isType, result2 = skipIndexes ? baseTimes(value3.length, String2) : [], length = result2.length;
+        for (var key in value3) {
+          if ((inherited || hasOwnProperty2.call(value3, key)) && !(skipIndexes && // Safari 9 has enumerable `arguments.length` in strict mode.
+          (key == "length" || // Node.js 0.10 has enumerable non-index properties on buffers.
+          isBuff && (key == "offset" || key == "parent") || // PhantomJS 2 has enumerable non-index properties on typed arrays.
+          isType && (key == "buffer" || key == "byteLength" || key == "byteOffset") || // Skip index properties.
+          isIndex(key, length)))) {
+            result2.push(key);
+          }
+        }
+        return result2;
+      }
+      __name(arrayLikeKeys, "arrayLikeKeys");
+      function arraySample(array) {
+        var length = array.length;
+        return length ? array[baseRandom(0, length - 1)] : undefined$1;
+      }
+      __name(arraySample, "arraySample");
+      function arraySampleSize(array, n) {
+        return shuffleSelf(copyArray(array), baseClamp(n, 0, array.length));
+      }
+      __name(arraySampleSize, "arraySampleSize");
+      function arrayShuffle(array) {
+        return shuffleSelf(copyArray(array));
+      }
+      __name(arrayShuffle, "arrayShuffle");
+      function assignMergeValue(object, key, value3) {
+        if (value3 !== undefined$1 && !eq(object[key], value3) || value3 === undefined$1 && !(key in object)) {
+          baseAssignValue(object, key, value3);
+        }
+      }
+      __name(assignMergeValue, "assignMergeValue");
+      function assignValue(object, key, value3) {
+        var objValue = object[key];
+        if (!(hasOwnProperty2.call(object, key) && eq(objValue, value3)) || value3 === undefined$1 && !(key in object)) {
+          baseAssignValue(object, key, value3);
+        }
+      }
+      __name(assignValue, "assignValue");
+      function assocIndexOf(array, key) {
+        var length = array.length;
+        while (length--) {
+          if (eq(array[length][0], key)) {
+            return length;
+          }
+        }
+        return -1;
+      }
+      __name(assocIndexOf, "assocIndexOf");
+      function baseAggregator(collection, setter, iteratee2, accumulator) {
+        baseEach(collection, function(value3, key, collection2) {
+          setter(accumulator, value3, iteratee2(value3), collection2);
+        });
+        return accumulator;
+      }
+      __name(baseAggregator, "baseAggregator");
+      function baseAssign(object, source) {
+        return object && copyObject(source, keys2(source), object);
+      }
+      __name(baseAssign, "baseAssign");
+      function baseAssignIn(object, source) {
+        return object && copyObject(source, keysIn(source), object);
+      }
+      __name(baseAssignIn, "baseAssignIn");
+      function baseAssignValue(object, key, value3) {
+        if (key == "__proto__" && defineProperty) {
+          defineProperty(object, key, {
+            "configurable": true,
+            "enumerable": true,
+            "value": value3,
+            "writable": true
+          });
+        } else {
+          object[key] = value3;
+        }
+      }
+      __name(baseAssignValue, "baseAssignValue");
+      function baseAt(object, paths) {
+        var index2 = -1, length = paths.length, result2 = Array2(length), skip = object == null;
+        while (++index2 < length) {
+          result2[index2] = skip ? undefined$1 : get2(object, paths[index2]);
+        }
+        return result2;
+      }
+      __name(baseAt, "baseAt");
+      function baseClamp(number2, lower, upper) {
+        if (number2 === number2) {
+          if (upper !== undefined$1) {
+            number2 = number2 <= upper ? number2 : upper;
+          }
+          if (lower !== undefined$1) {
+            number2 = number2 >= lower ? number2 : lower;
+          }
+        }
+        return number2;
+      }
+      __name(baseClamp, "baseClamp");
+      function baseClone(value3, bitmask, customizer, key, object, stack2) {
+        var result2, isDeep = bitmask & CLONE_DEEP_FLAG, isFlat = bitmask & CLONE_FLAT_FLAG, isFull = bitmask & CLONE_SYMBOLS_FLAG;
+        if (customizer) {
+          result2 = object ? customizer(value3, key, object, stack2) : customizer(value3);
+        }
+        if (result2 !== undefined$1) {
+          return result2;
+        }
+        if (!isObject3(value3)) {
+          return value3;
+        }
+        var isArr = isArray3(value3);
+        if (isArr) {
+          result2 = initCloneArray(value3);
+          if (!isDeep) {
+            return copyArray(value3, result2);
+          }
+        } else {
+          var tag = getTag2(value3), isFunc = tag == funcTag || tag == genTag;
+          if (isBuffer2(value3)) {
+            return cloneBuffer(value3, isDeep);
+          }
+          if (tag == objectTag || tag == argsTag || isFunc && !object) {
+            result2 = isFlat || isFunc ? {} : initCloneObject(value3);
+            if (!isDeep) {
+              return isFlat ? copySymbolsIn(value3, baseAssignIn(result2, value3)) : copySymbols(value3, baseAssign(result2, value3));
+            }
+          } else {
+            if (!cloneableTags[tag]) {
+              return object ? value3 : {};
+            }
+            result2 = initCloneByTag(value3, tag, isDeep);
+          }
+        }
+        stack2 || (stack2 = new Stack());
+        var stacked = stack2.get(value3);
+        if (stacked) {
+          return stacked;
+        }
+        stack2.set(value3, result2);
+        if (isSet2(value3)) {
+          value3.forEach(function(subValue) {
+            result2.add(baseClone(subValue, bitmask, customizer, subValue, value3, stack2));
+          });
+        } else if (isMap2(value3)) {
+          value3.forEach(function(subValue, key2) {
+            result2.set(key2, baseClone(subValue, bitmask, customizer, key2, value3, stack2));
+          });
+        }
+        var keysFunc = isFull ? isFlat ? getAllKeysIn : getAllKeys : isFlat ? keysIn : keys2;
+        var props = isArr ? undefined$1 : keysFunc(value3);
+        arrayEach(props || value3, function(subValue, key2) {
+          if (props) {
+            key2 = subValue;
+            subValue = value3[key2];
+          }
+          assignValue(result2, key2, baseClone(subValue, bitmask, customizer, key2, value3, stack2));
+        });
+        return result2;
+      }
+      __name(baseClone, "baseClone");
+      function baseConforms(source) {
+        var props = keys2(source);
+        return function(object) {
+          return baseConformsTo(object, source, props);
+        };
+      }
+      __name(baseConforms, "baseConforms");
+      function baseConformsTo(object, source, props) {
+        var length = props.length;
+        if (object == null) {
+          return !length;
+        }
+        object = Object2(object);
+        while (length--) {
+          var key = props[length], predicate = source[key], value3 = object[key];
+          if (value3 === undefined$1 && !(key in object) || !predicate(value3)) {
+            return false;
+          }
+        }
+        return true;
+      }
+      __name(baseConformsTo, "baseConformsTo");
+      function baseDelay(func, wait, args) {
+        if (typeof func != "function") {
+          throw new TypeError2(FUNC_ERROR_TEXT);
+        }
+        return setTimeout2(function() {
+          func.apply(undefined$1, args);
+        }, wait);
+      }
+      __name(baseDelay, "baseDelay");
+      function baseDifference(array, values3, iteratee2, comparator2) {
+        var index2 = -1, includes2 = arrayIncludes, isCommon = true, length = array.length, result2 = [], valuesLength = values3.length;
+        if (!length) {
+          return result2;
+        }
+        if (iteratee2) {
+          values3 = arrayMap(values3, baseUnary(iteratee2));
+        }
+        if (comparator2) {
+          includes2 = arrayIncludesWith;
+          isCommon = false;
+        } else if (values3.length >= LARGE_ARRAY_SIZE) {
+          includes2 = cacheHas;
+          isCommon = false;
+          values3 = new SetCache(values3);
+        }
+        outer:
+          while (++index2 < length) {
+            var value3 = array[index2], computed2 = iteratee2 == null ? value3 : iteratee2(value3);
+            value3 = comparator2 || value3 !== 0 ? value3 : 0;
+            if (isCommon && computed2 === computed2) {
+              var valuesIndex = valuesLength;
+              while (valuesIndex--) {
+                if (values3[valuesIndex] === computed2) {
+                  continue outer;
+                }
+              }
+              result2.push(value3);
+            } else if (!includes2(values3, computed2, comparator2)) {
+              result2.push(value3);
+            }
+          }
+        return result2;
+      }
+      __name(baseDifference, "baseDifference");
+      var baseEach = createBaseEach(baseForOwn);
+      var baseEachRight = createBaseEach(baseForOwnRight, true);
+      function baseEvery(collection, predicate) {
+        var result2 = true;
+        baseEach(collection, function(value3, index2, collection2) {
+          result2 = !!predicate(value3, index2, collection2);
+          return result2;
+        });
+        return result2;
+      }
+      __name(baseEvery, "baseEvery");
+      function baseExtremum(array, iteratee2, comparator2) {
+        var index2 = -1, length = array.length;
+        while (++index2 < length) {
+          var value3 = array[index2], current = iteratee2(value3);
+          if (current != null && (computed2 === undefined$1 ? current === current && !isSymbol2(current) : comparator2(current, computed2))) {
+            var computed2 = current, result2 = value3;
+          }
+        }
+        return result2;
+      }
+      __name(baseExtremum, "baseExtremum");
+      function baseFill(array, value3, start2, end) {
+        var length = array.length;
+        start2 = toInteger(start2);
+        if (start2 < 0) {
+          start2 = -start2 > length ? 0 : length + start2;
+        }
+        end = end === undefined$1 || end > length ? length : toInteger(end);
+        if (end < 0) {
+          end += length;
+        }
+        end = start2 > end ? 0 : toLength(end);
+        while (start2 < end) {
+          array[start2++] = value3;
+        }
+        return array;
+      }
+      __name(baseFill, "baseFill");
+      function baseFilter(collection, predicate) {
+        var result2 = [];
+        baseEach(collection, function(value3, index2, collection2) {
+          if (predicate(value3, index2, collection2)) {
+            result2.push(value3);
+          }
+        });
+        return result2;
+      }
+      __name(baseFilter, "baseFilter");
+      function baseFlatten(array, depth, predicate, isStrict, result2) {
+        var index2 = -1, length = array.length;
+        predicate || (predicate = isFlattenable);
+        result2 || (result2 = []);
+        while (++index2 < length) {
+          var value3 = array[index2];
+          if (depth > 0 && predicate(value3)) {
+            if (depth > 1) {
+              baseFlatten(value3, depth - 1, predicate, isStrict, result2);
+            } else {
+              arrayPush(result2, value3);
+            }
+          } else if (!isStrict) {
+            result2[result2.length] = value3;
+          }
+        }
+        return result2;
+      }
+      __name(baseFlatten, "baseFlatten");
+      var baseFor = createBaseFor();
+      var baseForRight = createBaseFor(true);
+      function baseForOwn(object, iteratee2) {
+        return object && baseFor(object, iteratee2, keys2);
+      }
+      __name(baseForOwn, "baseForOwn");
+      function baseForOwnRight(object, iteratee2) {
+        return object && baseForRight(object, iteratee2, keys2);
+      }
+      __name(baseForOwnRight, "baseForOwnRight");
+      function baseFunctions(object, props) {
+        return arrayFilter(props, function(key) {
+          return isFunction3(object[key]);
+        });
+      }
+      __name(baseFunctions, "baseFunctions");
+      function baseGet(object, path) {
+        path = castPath(path, object);
+        var index2 = 0, length = path.length;
+        while (object != null && index2 < length) {
+          object = object[toKey(path[index2++])];
+        }
+        return index2 && index2 == length ? object : undefined$1;
+      }
+      __name(baseGet, "baseGet");
+      function baseGetAllKeys(object, keysFunc, symbolsFunc) {
+        var result2 = keysFunc(object);
+        return isArray3(object) ? result2 : arrayPush(result2, symbolsFunc(object));
+      }
+      __name(baseGetAllKeys, "baseGetAllKeys");
+      function baseGetTag(value3) {
+        if (value3 == null) {
+          return value3 === undefined$1 ? undefinedTag : nullTag;
+        }
+        return symToStringTag && symToStringTag in Object2(value3) ? getRawTag(value3) : objectToString2(value3);
+      }
+      __name(baseGetTag, "baseGetTag");
+      function baseGt(value3, other) {
+        return value3 > other;
+      }
+      __name(baseGt, "baseGt");
+      function baseHas(object, key) {
+        return object != null && hasOwnProperty2.call(object, key);
+      }
+      __name(baseHas, "baseHas");
+      function baseHasIn(object, key) {
+        return object != null && key in Object2(object);
+      }
+      __name(baseHasIn, "baseHasIn");
+      function baseInRange(number2, start2, end) {
+        return number2 >= nativeMin(start2, end) && number2 < nativeMax(start2, end);
+      }
+      __name(baseInRange, "baseInRange");
+      function baseIntersection(arrays, iteratee2, comparator2) {
+        var includes2 = comparator2 ? arrayIncludesWith : arrayIncludes, length = arrays[0].length, othLength = arrays.length, othIndex = othLength, caches = Array2(othLength), maxLength = Infinity, result2 = [];
+        while (othIndex--) {
+          var array = arrays[othIndex];
+          if (othIndex && iteratee2) {
+            array = arrayMap(array, baseUnary(iteratee2));
+          }
+          maxLength = nativeMin(array.length, maxLength);
+          caches[othIndex] = !comparator2 && (iteratee2 || length >= 120 && array.length >= 120) ? new SetCache(othIndex && array) : undefined$1;
+        }
+        array = arrays[0];
+        var index2 = -1, seen2 = caches[0];
+        outer:
+          while (++index2 < length && result2.length < maxLength) {
+            var value3 = array[index2], computed2 = iteratee2 ? iteratee2(value3) : value3;
+            value3 = comparator2 || value3 !== 0 ? value3 : 0;
+            if (!(seen2 ? cacheHas(seen2, computed2) : includes2(result2, computed2, comparator2))) {
+              othIndex = othLength;
+              while (--othIndex) {
+                var cache2 = caches[othIndex];
+                if (!(cache2 ? cacheHas(cache2, computed2) : includes2(arrays[othIndex], computed2, comparator2))) {
+                  continue outer;
+                }
+              }
+              if (seen2) {
+                seen2.push(computed2);
+              }
+              result2.push(value3);
+            }
+          }
+        return result2;
+      }
+      __name(baseIntersection, "baseIntersection");
+      function baseInverter(object, setter, iteratee2, accumulator) {
+        baseForOwn(object, function(value3, key, object2) {
+          setter(accumulator, iteratee2(value3), key, object2);
+        });
+        return accumulator;
+      }
+      __name(baseInverter, "baseInverter");
+      function baseInvoke(object, path, args) {
+        path = castPath(path, object);
+        object = parent(object, path);
+        var func = object == null ? object : object[toKey(last(path))];
+        return func == null ? undefined$1 : apply2(func, object, args);
+      }
+      __name(baseInvoke, "baseInvoke");
+      function baseIsArguments(value3) {
+        return isObjectLike2(value3) && baseGetTag(value3) == argsTag;
+      }
+      __name(baseIsArguments, "baseIsArguments");
+      function baseIsArrayBuffer(value3) {
+        return isObjectLike2(value3) && baseGetTag(value3) == arrayBufferTag;
+      }
+      __name(baseIsArrayBuffer, "baseIsArrayBuffer");
+      function baseIsDate(value3) {
+        return isObjectLike2(value3) && baseGetTag(value3) == dateTag;
+      }
+      __name(baseIsDate, "baseIsDate");
+      function baseIsEqual(value3, other, bitmask, customizer, stack2) {
+        if (value3 === other) {
+          return true;
+        }
+        if (value3 == null || other == null || !isObjectLike2(value3) && !isObjectLike2(other)) {
+          return value3 !== value3 && other !== other;
+        }
+        return baseIsEqualDeep(value3, other, bitmask, customizer, baseIsEqual, stack2);
+      }
+      __name(baseIsEqual, "baseIsEqual");
+      function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack2) {
+        var objIsArr = isArray3(object), othIsArr = isArray3(other), objTag = objIsArr ? arrayTag : getTag2(object), othTag = othIsArr ? arrayTag : getTag2(other);
+        objTag = objTag == argsTag ? objectTag : objTag;
+        othTag = othTag == argsTag ? objectTag : othTag;
+        var objIsObj = objTag == objectTag, othIsObj = othTag == objectTag, isSameTag = objTag == othTag;
+        if (isSameTag && isBuffer2(object)) {
+          if (!isBuffer2(other)) {
+            return false;
+          }
+          objIsArr = true;
+          objIsObj = false;
+        }
+        if (isSameTag && !objIsObj) {
+          stack2 || (stack2 = new Stack());
+          return objIsArr || isTypedArray2(object) ? equalArrays(object, other, bitmask, customizer, equalFunc, stack2) : equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack2);
+        }
+        if (!(bitmask & COMPARE_PARTIAL_FLAG)) {
+          var objIsWrapped = objIsObj && hasOwnProperty2.call(object, "__wrapped__"), othIsWrapped = othIsObj && hasOwnProperty2.call(other, "__wrapped__");
+          if (objIsWrapped || othIsWrapped) {
+            var objUnwrapped = objIsWrapped ? object.value() : object, othUnwrapped = othIsWrapped ? other.value() : other;
+            stack2 || (stack2 = new Stack());
+            return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack2);
+          }
+        }
+        if (!isSameTag) {
+          return false;
+        }
+        stack2 || (stack2 = new Stack());
+        return equalObjects(object, other, bitmask, customizer, equalFunc, stack2);
+      }
+      __name(baseIsEqualDeep, "baseIsEqualDeep");
+      function baseIsMap(value3) {
+        return isObjectLike2(value3) && getTag2(value3) == mapTag;
+      }
+      __name(baseIsMap, "baseIsMap");
+      function baseIsMatch(object, source, matchData, customizer) {
+        var index2 = matchData.length, length = index2, noCustomizer = !customizer;
+        if (object == null) {
+          return !length;
+        }
+        object = Object2(object);
+        while (index2--) {
+          var data24 = matchData[index2];
+          if (noCustomizer && data24[2] ? data24[1] !== object[data24[0]] : !(data24[0] in object)) {
+            return false;
+          }
+        }
+        while (++index2 < length) {
+          data24 = matchData[index2];
+          var key = data24[0], objValue = object[key], srcValue = data24[1];
+          if (noCustomizer && data24[2]) {
+            if (objValue === undefined$1 && !(key in object)) {
+              return false;
+            }
+          } else {
+            var stack2 = new Stack();
+            if (customizer) {
+              var result2 = customizer(objValue, srcValue, key, object, source, stack2);
+            }
+            if (!(result2 === undefined$1 ? baseIsEqual(srcValue, objValue, COMPARE_PARTIAL_FLAG | COMPARE_UNORDERED_FLAG, customizer, stack2) : result2)) {
+              return false;
+            }
+          }
+        }
+        return true;
+      }
+      __name(baseIsMatch, "baseIsMatch");
+      function baseIsNative(value3) {
+        if (!isObject3(value3) || isMasked(value3)) {
+          return false;
+        }
+        var pattern = isFunction3(value3) ? reIsNative : reIsHostCtor;
+        return pattern.test(toSource(value3));
+      }
+      __name(baseIsNative, "baseIsNative");
+      function baseIsRegExp(value3) {
+        return isObjectLike2(value3) && baseGetTag(value3) == regexpTag;
+      }
+      __name(baseIsRegExp, "baseIsRegExp");
+      function baseIsSet(value3) {
+        return isObjectLike2(value3) && getTag2(value3) == setTag;
+      }
+      __name(baseIsSet, "baseIsSet");
+      function baseIsTypedArray(value3) {
+        return isObjectLike2(value3) && isLength(value3.length) && !!typedArrayTags[baseGetTag(value3)];
+      }
+      __name(baseIsTypedArray, "baseIsTypedArray");
+      function baseIteratee(value3) {
+        if (typeof value3 == "function") {
+          return value3;
+        }
+        if (value3 == null) {
+          return identity2;
+        }
+        if (typeof value3 == "object") {
+          return isArray3(value3) ? baseMatchesProperty(value3[0], value3[1]) : baseMatches(value3);
+        }
+        return property(value3);
+      }
+      __name(baseIteratee, "baseIteratee");
+      function baseKeys(object) {
+        if (!isPrototype(object)) {
+          return nativeKeys(object);
+        }
+        var result2 = [];
+        for (var key in Object2(object)) {
+          if (hasOwnProperty2.call(object, key) && key != "constructor") {
+            result2.push(key);
+          }
+        }
+        return result2;
+      }
+      __name(baseKeys, "baseKeys");
+      function baseKeysIn(object) {
+        if (!isObject3(object)) {
+          return nativeKeysIn(object);
+        }
+        var isProto = isPrototype(object), result2 = [];
+        for (var key in object) {
+          if (!(key == "constructor" && (isProto || !hasOwnProperty2.call(object, key)))) {
+            result2.push(key);
+          }
+        }
+        return result2;
+      }
+      __name(baseKeysIn, "baseKeysIn");
+      function baseLt(value3, other) {
+        return value3 < other;
+      }
+      __name(baseLt, "baseLt");
+      function baseMap(collection, iteratee2) {
+        var index2 = -1, result2 = isArrayLike(collection) ? Array2(collection.length) : [];
+        baseEach(collection, function(value3, key, collection2) {
+          result2[++index2] = iteratee2(value3, key, collection2);
+        });
+        return result2;
+      }
+      __name(baseMap, "baseMap");
+      function baseMatches(source) {
+        var matchData = getMatchData(source);
+        if (matchData.length == 1 && matchData[0][2]) {
+          return matchesStrictComparable(matchData[0][0], matchData[0][1]);
+        }
+        return function(object) {
+          return object === source || baseIsMatch(object, source, matchData);
+        };
+      }
+      __name(baseMatches, "baseMatches");
+      function baseMatchesProperty(path, srcValue) {
+        if (isKey(path) && isStrictComparable(srcValue)) {
+          return matchesStrictComparable(toKey(path), srcValue);
+        }
+        return function(object) {
+          var objValue = get2(object, path);
+          return objValue === undefined$1 && objValue === srcValue ? hasIn(object, path) : baseIsEqual(srcValue, objValue, COMPARE_PARTIAL_FLAG | COMPARE_UNORDERED_FLAG);
+        };
+      }
+      __name(baseMatchesProperty, "baseMatchesProperty");
+      function baseMerge(object, source, srcIndex, customizer, stack2) {
+        if (object === source) {
+          return;
+        }
+        baseFor(source, function(srcValue, key) {
+          stack2 || (stack2 = new Stack());
+          if (isObject3(srcValue)) {
+            baseMergeDeep(object, source, key, srcIndex, baseMerge, customizer, stack2);
+          } else {
+            var newValue = customizer ? customizer(safeGet(object, key), srcValue, key + "", object, source, stack2) : undefined$1;
+            if (newValue === undefined$1) {
+              newValue = srcValue;
+            }
+            assignMergeValue(object, key, newValue);
+          }
+        }, keysIn);
+      }
+      __name(baseMerge, "baseMerge");
+      function baseMergeDeep(object, source, key, srcIndex, mergeFunc, customizer, stack2) {
+        var objValue = safeGet(object, key), srcValue = safeGet(source, key), stacked = stack2.get(srcValue);
+        if (stacked) {
+          assignMergeValue(object, key, stacked);
+          return;
+        }
+        var newValue = customizer ? customizer(objValue, srcValue, key + "", object, source, stack2) : undefined$1;
+        var isCommon = newValue === undefined$1;
+        if (isCommon) {
+          var isArr = isArray3(srcValue), isBuff = !isArr && isBuffer2(srcValue), isTyped = !isArr && !isBuff && isTypedArray2(srcValue);
+          newValue = srcValue;
+          if (isArr || isBuff || isTyped) {
+            if (isArray3(objValue)) {
+              newValue = objValue;
+            } else if (isArrayLikeObject(objValue)) {
+              newValue = copyArray(objValue);
+            } else if (isBuff) {
+              isCommon = false;
+              newValue = cloneBuffer(srcValue, true);
+            } else if (isTyped) {
+              isCommon = false;
+              newValue = cloneTypedArray(srcValue, true);
+            } else {
+              newValue = [];
+            }
+          } else if (isPlainObject2(srcValue) || isArguments(srcValue)) {
+            newValue = objValue;
+            if (isArguments(objValue)) {
+              newValue = toPlainObject(objValue);
+            } else if (!isObject3(objValue) || isFunction3(objValue)) {
+              newValue = initCloneObject(srcValue);
+            }
+          } else {
+            isCommon = false;
+          }
+        }
+        if (isCommon) {
+          stack2.set(srcValue, newValue);
+          mergeFunc(newValue, srcValue, srcIndex, customizer, stack2);
+          stack2["delete"](srcValue);
+        }
+        assignMergeValue(object, key, newValue);
+      }
+      __name(baseMergeDeep, "baseMergeDeep");
+      function baseNth(array, n) {
+        var length = array.length;
+        if (!length) {
+          return;
+        }
+        n += n < 0 ? length : 0;
+        return isIndex(n, length) ? array[n] : undefined$1;
+      }
+      __name(baseNth, "baseNth");
+      function baseOrderBy(collection, iteratees, orders) {
+        if (iteratees.length) {
+          iteratees = arrayMap(iteratees, function(iteratee2) {
+            if (isArray3(iteratee2)) {
+              return function(value3) {
+                return baseGet(value3, iteratee2.length === 1 ? iteratee2[0] : iteratee2);
+              };
+            }
+            return iteratee2;
+          });
+        } else {
+          iteratees = [identity2];
+        }
+        var index2 = -1;
+        iteratees = arrayMap(iteratees, baseUnary(getIteratee()));
+        var result2 = baseMap(collection, function(value3, key, collection2) {
+          var criteria = arrayMap(iteratees, function(iteratee2) {
+            return iteratee2(value3);
+          });
+          return { "criteria": criteria, "index": ++index2, "value": value3 };
+        });
+        return baseSortBy(result2, function(object, other) {
+          return compareMultiple(object, other, orders);
+        });
+      }
+      __name(baseOrderBy, "baseOrderBy");
+      function basePick(object, paths) {
+        return basePickBy(object, paths, function(value3, path) {
+          return hasIn(object, path);
+        });
+      }
+      __name(basePick, "basePick");
+      function basePickBy(object, paths, predicate) {
+        var index2 = -1, length = paths.length, result2 = {};
+        while (++index2 < length) {
+          var path = paths[index2], value3 = baseGet(object, path);
+          if (predicate(value3, path)) {
+            baseSet(result2, castPath(path, object), value3);
+          }
+        }
+        return result2;
+      }
+      __name(basePickBy, "basePickBy");
+      function basePropertyDeep(path) {
+        return function(object) {
+          return baseGet(object, path);
+        };
+      }
+      __name(basePropertyDeep, "basePropertyDeep");
+      function basePullAll(array, values3, iteratee2, comparator2) {
+        var indexOf2 = comparator2 ? baseIndexOfWith : baseIndexOf, index2 = -1, length = values3.length, seen2 = array;
+        if (array === values3) {
+          values3 = copyArray(values3);
+        }
+        if (iteratee2) {
+          seen2 = arrayMap(array, baseUnary(iteratee2));
+        }
+        while (++index2 < length) {
+          var fromIndex = 0, value3 = values3[index2], computed2 = iteratee2 ? iteratee2(value3) : value3;
+          while ((fromIndex = indexOf2(seen2, computed2, fromIndex, comparator2)) > -1) {
+            if (seen2 !== array) {
+              splice.call(seen2, fromIndex, 1);
+            }
+            splice.call(array, fromIndex, 1);
+          }
+        }
+        return array;
+      }
+      __name(basePullAll, "basePullAll");
+      function basePullAt(array, indexes) {
+        var length = array ? indexes.length : 0, lastIndex = length - 1;
+        while (length--) {
+          var index2 = indexes[length];
+          if (length == lastIndex || index2 !== previous) {
+            var previous = index2;
+            if (isIndex(index2)) {
+              splice.call(array, index2, 1);
+            } else {
+              baseUnset(array, index2);
+            }
+          }
+        }
+        return array;
+      }
+      __name(basePullAt, "basePullAt");
+      function baseRandom(lower, upper) {
+        return lower + nativeFloor(nativeRandom() * (upper - lower + 1));
+      }
+      __name(baseRandom, "baseRandom");
+      function baseRange(start2, end, step2, fromRight) {
+        var index2 = -1, length = nativeMax(nativeCeil((end - start2) / (step2 || 1)), 0), result2 = Array2(length);
+        while (length--) {
+          result2[fromRight ? length : ++index2] = start2;
+          start2 += step2;
+        }
+        return result2;
+      }
+      __name(baseRange, "baseRange");
+      function baseRepeat(string, n) {
+        var result2 = "";
+        if (!string || n < 1 || n > MAX_SAFE_INTEGER) {
+          return result2;
+        }
+        do {
+          if (n % 2) {
+            result2 += string;
+          }
+          n = nativeFloor(n / 2);
+          if (n) {
+            string += string;
+          }
+        } while (n);
+        return result2;
+      }
+      __name(baseRepeat, "baseRepeat");
+      function baseRest(func, start2) {
+        return setToString(overRest(func, start2, identity2), func + "");
+      }
+      __name(baseRest, "baseRest");
+      function baseSample(collection) {
+        return arraySample(values2(collection));
+      }
+      __name(baseSample, "baseSample");
+      function baseSampleSize(collection, n) {
+        var array = values2(collection);
+        return shuffleSelf(array, baseClamp(n, 0, array.length));
+      }
+      __name(baseSampleSize, "baseSampleSize");
+      function baseSet(object, path, value3, customizer) {
+        if (!isObject3(object)) {
+          return object;
+        }
+        path = castPath(path, object);
+        var index2 = -1, length = path.length, lastIndex = length - 1, nested = object;
+        while (nested != null && ++index2 < length) {
+          var key = toKey(path[index2]), newValue = value3;
+          if (key === "__proto__" || key === "constructor" || key === "prototype") {
+            return object;
+          }
+          if (index2 != lastIndex) {
+            var objValue = nested[key];
+            newValue = customizer ? customizer(objValue, key, nested) : undefined$1;
+            if (newValue === undefined$1) {
+              newValue = isObject3(objValue) ? objValue : isIndex(path[index2 + 1]) ? [] : {};
+            }
+          }
+          assignValue(nested, key, newValue);
+          nested = nested[key];
+        }
+        return object;
+      }
+      __name(baseSet, "baseSet");
+      var baseSetData = !metaMap ? identity2 : function(func, data24) {
+        metaMap.set(func, data24);
+        return func;
+      };
+      var baseSetToString = !defineProperty ? identity2 : function(func, string) {
+        return defineProperty(func, "toString", {
+          "configurable": true,
+          "enumerable": false,
+          "value": constant(string),
+          "writable": true
+        });
+      };
+      function baseShuffle(collection) {
+        return shuffleSelf(values2(collection));
+      }
+      __name(baseShuffle, "baseShuffle");
+      function baseSlice(array, start2, end) {
+        var index2 = -1, length = array.length;
+        if (start2 < 0) {
+          start2 = -start2 > length ? 0 : length + start2;
+        }
+        end = end > length ? length : end;
+        if (end < 0) {
+          end += length;
+        }
+        length = start2 > end ? 0 : end - start2 >>> 0;
+        start2 >>>= 0;
+        var result2 = Array2(length);
+        while (++index2 < length) {
+          result2[index2] = array[index2 + start2];
+        }
+        return result2;
+      }
+      __name(baseSlice, "baseSlice");
+      function baseSome(collection, predicate) {
+        var result2;
+        baseEach(collection, function(value3, index2, collection2) {
+          result2 = predicate(value3, index2, collection2);
+          return !result2;
+        });
+        return !!result2;
+      }
+      __name(baseSome, "baseSome");
+      function baseSortedIndex(array, value3, retHighest) {
+        var low = 0, high = array == null ? low : array.length;
+        if (typeof value3 == "number" && value3 === value3 && high <= HALF_MAX_ARRAY_LENGTH) {
+          while (low < high) {
+            var mid = low + high >>> 1, computed2 = array[mid];
+            if (computed2 !== null && !isSymbol2(computed2) && (retHighest ? computed2 <= value3 : computed2 < value3)) {
+              low = mid + 1;
+            } else {
+              high = mid;
+            }
+          }
+          return high;
+        }
+        return baseSortedIndexBy(array, value3, identity2, retHighest);
+      }
+      __name(baseSortedIndex, "baseSortedIndex");
+      function baseSortedIndexBy(array, value3, iteratee2, retHighest) {
+        var low = 0, high = array == null ? 0 : array.length;
+        if (high === 0) {
+          return 0;
+        }
+        value3 = iteratee2(value3);
+        var valIsNaN = value3 !== value3, valIsNull = value3 === null, valIsSymbol = isSymbol2(value3), valIsUndefined = value3 === undefined$1;
+        while (low < high) {
+          var mid = nativeFloor((low + high) / 2), computed2 = iteratee2(array[mid]), othIsDefined = computed2 !== undefined$1, othIsNull = computed2 === null, othIsReflexive = computed2 === computed2, othIsSymbol = isSymbol2(computed2);
+          if (valIsNaN) {
+            var setLow = retHighest || othIsReflexive;
+          } else if (valIsUndefined) {
+            setLow = othIsReflexive && (retHighest || othIsDefined);
+          } else if (valIsNull) {
+            setLow = othIsReflexive && othIsDefined && (retHighest || !othIsNull);
+          } else if (valIsSymbol) {
+            setLow = othIsReflexive && othIsDefined && !othIsNull && (retHighest || !othIsSymbol);
+          } else if (othIsNull || othIsSymbol) {
+            setLow = false;
+          } else {
+            setLow = retHighest ? computed2 <= value3 : computed2 < value3;
+          }
+          if (setLow) {
+            low = mid + 1;
+          } else {
+            high = mid;
+          }
+        }
+        return nativeMin(high, MAX_ARRAY_INDEX);
+      }
+      __name(baseSortedIndexBy, "baseSortedIndexBy");
+      function baseSortedUniq(array, iteratee2) {
+        var index2 = -1, length = array.length, resIndex = 0, result2 = [];
+        while (++index2 < length) {
+          var value3 = array[index2], computed2 = iteratee2 ? iteratee2(value3) : value3;
+          if (!index2 || !eq(computed2, seen2)) {
+            var seen2 = computed2;
+            result2[resIndex++] = value3 === 0 ? 0 : value3;
+          }
+        }
+        return result2;
+      }
+      __name(baseSortedUniq, "baseSortedUniq");
+      function baseToNumber(value3) {
+        if (typeof value3 == "number") {
+          return value3;
+        }
+        if (isSymbol2(value3)) {
+          return NAN;
+        }
+        return +value3;
+      }
+      __name(baseToNumber, "baseToNumber");
+      function baseToString2(value3) {
+        if (typeof value3 == "string") {
+          return value3;
+        }
+        if (isArray3(value3)) {
+          return arrayMap(value3, baseToString2) + "";
+        }
+        if (isSymbol2(value3)) {
+          return symbolToString ? symbolToString.call(value3) : "";
+        }
+        var result2 = value3 + "";
+        return result2 == "0" && 1 / value3 == -INFINITY2 ? "-0" : result2;
+      }
+      __name(baseToString2, "baseToString");
+      function baseUniq(array, iteratee2, comparator2) {
+        var index2 = -1, includes2 = arrayIncludes, length = array.length, isCommon = true, result2 = [], seen2 = result2;
+        if (comparator2) {
+          isCommon = false;
+          includes2 = arrayIncludesWith;
+        } else if (length >= LARGE_ARRAY_SIZE) {
+          var set3 = iteratee2 ? null : createSet(array);
+          if (set3) {
+            return setToArray(set3);
+          }
+          isCommon = false;
+          includes2 = cacheHas;
+          seen2 = new SetCache();
+        } else {
+          seen2 = iteratee2 ? [] : result2;
+        }
+        outer:
+          while (++index2 < length) {
+            var value3 = array[index2], computed2 = iteratee2 ? iteratee2(value3) : value3;
+            value3 = comparator2 || value3 !== 0 ? value3 : 0;
+            if (isCommon && computed2 === computed2) {
+              var seenIndex = seen2.length;
+              while (seenIndex--) {
+                if (seen2[seenIndex] === computed2) {
+                  continue outer;
+                }
+              }
+              if (iteratee2) {
+                seen2.push(computed2);
+              }
+              result2.push(value3);
+            } else if (!includes2(seen2, computed2, comparator2)) {
+              if (seen2 !== result2) {
+                seen2.push(computed2);
+              }
+              result2.push(value3);
+            }
+          }
+        return result2;
+      }
+      __name(baseUniq, "baseUniq");
+      function baseUnset(object, path) {
+        path = castPath(path, object);
+        object = parent(object, path);
+        return object == null || delete object[toKey(last(path))];
+      }
+      __name(baseUnset, "baseUnset");
+      function baseUpdate(object, path, updater, customizer) {
+        return baseSet(object, path, updater(baseGet(object, path)), customizer);
+      }
+      __name(baseUpdate, "baseUpdate");
+      function baseWhile(array, predicate, isDrop, fromRight) {
+        var length = array.length, index2 = fromRight ? length : -1;
+        while ((fromRight ? index2-- : ++index2 < length) && predicate(array[index2], index2, array)) {
+        }
+        return isDrop ? baseSlice(array, fromRight ? 0 : index2, fromRight ? index2 + 1 : length) : baseSlice(array, fromRight ? index2 + 1 : 0, fromRight ? length : index2);
+      }
+      __name(baseWhile, "baseWhile");
+      function baseWrapperValue(value3, actions) {
+        var result2 = value3;
+        if (result2 instanceof LazyWrapper) {
+          result2 = result2.value();
+        }
+        return arrayReduce(actions, function(result3, action) {
+          return action.func.apply(action.thisArg, arrayPush([result3], action.args));
+        }, result2);
+      }
+      __name(baseWrapperValue, "baseWrapperValue");
+      function baseXor(arrays, iteratee2, comparator2) {
+        var length = arrays.length;
+        if (length < 2) {
+          return length ? baseUniq(arrays[0]) : [];
+        }
+        var index2 = -1, result2 = Array2(length);
+        while (++index2 < length) {
+          var array = arrays[index2], othIndex = -1;
+          while (++othIndex < length) {
+            if (othIndex != index2) {
+              result2[index2] = baseDifference(result2[index2] || array, arrays[othIndex], iteratee2, comparator2);
+            }
+          }
+        }
+        return baseUniq(baseFlatten(result2, 1), iteratee2, comparator2);
+      }
+      __name(baseXor, "baseXor");
+      function baseZipObject(props, values3, assignFunc) {
+        var index2 = -1, length = props.length, valsLength = values3.length, result2 = {};
+        while (++index2 < length) {
+          var value3 = index2 < valsLength ? values3[index2] : undefined$1;
+          assignFunc(result2, props[index2], value3);
+        }
+        return result2;
+      }
+      __name(baseZipObject, "baseZipObject");
+      function castArrayLikeObject(value3) {
+        return isArrayLikeObject(value3) ? value3 : [];
+      }
+      __name(castArrayLikeObject, "castArrayLikeObject");
+      function castFunction(value3) {
+        return typeof value3 == "function" ? value3 : identity2;
+      }
+      __name(castFunction, "castFunction");
+      function castPath(value3, object) {
+        if (isArray3(value3)) {
+          return value3;
+        }
+        return isKey(value3, object) ? [value3] : stringToPath(toString3(value3));
+      }
+      __name(castPath, "castPath");
+      var castRest = baseRest;
+      function castSlice(array, start2, end) {
+        var length = array.length;
+        end = end === undefined$1 ? length : end;
+        return !start2 && end >= length ? array : baseSlice(array, start2, end);
+      }
+      __name(castSlice, "castSlice");
+      var clearTimeout2 = ctxClearTimeout || function(id2) {
+        return root26.clearTimeout(id2);
+      };
+      function cloneBuffer(buffer2, isDeep) {
+        if (isDeep) {
+          return buffer2.slice();
+        }
+        var length = buffer2.length, result2 = allocUnsafe ? allocUnsafe(length) : new buffer2.constructor(length);
+        buffer2.copy(result2);
+        return result2;
+      }
+      __name(cloneBuffer, "cloneBuffer");
+      function cloneArrayBuffer(arrayBuffer) {
+        var result2 = new arrayBuffer.constructor(arrayBuffer.byteLength);
+        new Uint8Array2(result2).set(new Uint8Array2(arrayBuffer));
+        return result2;
+      }
+      __name(cloneArrayBuffer, "cloneArrayBuffer");
+      function cloneDataView(dataView, isDeep) {
+        var buffer2 = isDeep ? cloneArrayBuffer(dataView.buffer) : dataView.buffer;
+        return new dataView.constructor(buffer2, dataView.byteOffset, dataView.byteLength);
+      }
+      __name(cloneDataView, "cloneDataView");
+      function cloneRegExp(regexp) {
+        var result2 = new regexp.constructor(regexp.source, reFlags.exec(regexp));
+        result2.lastIndex = regexp.lastIndex;
+        return result2;
+      }
+      __name(cloneRegExp, "cloneRegExp");
+      function cloneSymbol(symbol) {
+        return symbolValueOf ? Object2(symbolValueOf.call(symbol)) : {};
+      }
+      __name(cloneSymbol, "cloneSymbol");
+      function cloneTypedArray(typedArray, isDeep) {
+        var buffer2 = isDeep ? cloneArrayBuffer(typedArray.buffer) : typedArray.buffer;
+        return new typedArray.constructor(buffer2, typedArray.byteOffset, typedArray.length);
+      }
+      __name(cloneTypedArray, "cloneTypedArray");
+      function compareAscending(value3, other) {
+        if (value3 !== other) {
+          var valIsDefined = value3 !== undefined$1, valIsNull = value3 === null, valIsReflexive = value3 === value3, valIsSymbol = isSymbol2(value3);
+          var othIsDefined = other !== undefined$1, othIsNull = other === null, othIsReflexive = other === other, othIsSymbol = isSymbol2(other);
+          if (!othIsNull && !othIsSymbol && !valIsSymbol && value3 > other || valIsSymbol && othIsDefined && othIsReflexive && !othIsNull && !othIsSymbol || valIsNull && othIsDefined && othIsReflexive || !valIsDefined && othIsReflexive || !valIsReflexive) {
+            return 1;
+          }
+          if (!valIsNull && !valIsSymbol && !othIsSymbol && value3 < other || othIsSymbol && valIsDefined && valIsReflexive && !valIsNull && !valIsSymbol || othIsNull && valIsDefined && valIsReflexive || !othIsDefined && valIsReflexive || !othIsReflexive) {
+            return -1;
+          }
+        }
+        return 0;
+      }
+      __name(compareAscending, "compareAscending");
+      function compareMultiple(object, other, orders) {
+        var index2 = -1, objCriteria = object.criteria, othCriteria = other.criteria, length = objCriteria.length, ordersLength = orders.length;
+        while (++index2 < length) {
+          var result2 = compareAscending(objCriteria[index2], othCriteria[index2]);
+          if (result2) {
+            if (index2 >= ordersLength) {
+              return result2;
+            }
+            var order = orders[index2];
+            return result2 * (order == "desc" ? -1 : 1);
+          }
+        }
+        return object.index - other.index;
+      }
+      __name(compareMultiple, "compareMultiple");
+      function composeArgs(args, partials, holders, isCurried) {
+        var argsIndex = -1, argsLength = args.length, holdersLength = holders.length, leftIndex = -1, leftLength = partials.length, rangeLength = nativeMax(argsLength - holdersLength, 0), result2 = Array2(leftLength + rangeLength), isUncurried = !isCurried;
+        while (++leftIndex < leftLength) {
+          result2[leftIndex] = partials[leftIndex];
+        }
+        while (++argsIndex < holdersLength) {
+          if (isUncurried || argsIndex < argsLength) {
+            result2[holders[argsIndex]] = args[argsIndex];
+          }
+        }
+        while (rangeLength--) {
+          result2[leftIndex++] = args[argsIndex++];
+        }
+        return result2;
+      }
+      __name(composeArgs, "composeArgs");
+      function composeArgsRight(args, partials, holders, isCurried) {
+        var argsIndex = -1, argsLength = args.length, holdersIndex = -1, holdersLength = holders.length, rightIndex = -1, rightLength = partials.length, rangeLength = nativeMax(argsLength - holdersLength, 0), result2 = Array2(rangeLength + rightLength), isUncurried = !isCurried;
+        while (++argsIndex < rangeLength) {
+          result2[argsIndex] = args[argsIndex];
+        }
+        var offset = argsIndex;
+        while (++rightIndex < rightLength) {
+          result2[offset + rightIndex] = partials[rightIndex];
+        }
+        while (++holdersIndex < holdersLength) {
+          if (isUncurried || argsIndex < argsLength) {
+            result2[offset + holders[holdersIndex]] = args[argsIndex++];
+          }
+        }
+        return result2;
+      }
+      __name(composeArgsRight, "composeArgsRight");
+      function copyArray(source, array) {
+        var index2 = -1, length = source.length;
+        array || (array = Array2(length));
+        while (++index2 < length) {
+          array[index2] = source[index2];
+        }
+        return array;
+      }
+      __name(copyArray, "copyArray");
+      function copyObject(source, props, object, customizer) {
+        var isNew = !object;
+        object || (object = {});
+        var index2 = -1, length = props.length;
+        while (++index2 < length) {
+          var key = props[index2];
+          var newValue = customizer ? customizer(object[key], source[key], key, object, source) : undefined$1;
+          if (newValue === undefined$1) {
+            newValue = source[key];
+          }
+          if (isNew) {
+            baseAssignValue(object, key, newValue);
+          } else {
+            assignValue(object, key, newValue);
+          }
+        }
+        return object;
+      }
+      __name(copyObject, "copyObject");
+      function copySymbols(source, object) {
+        return copyObject(source, getSymbols(source), object);
+      }
+      __name(copySymbols, "copySymbols");
+      function copySymbolsIn(source, object) {
+        return copyObject(source, getSymbolsIn(source), object);
+      }
+      __name(copySymbolsIn, "copySymbolsIn");
+      function createAggregator(setter, initializer) {
+        return function(collection, iteratee2) {
+          var func = isArray3(collection) ? arrayAggregator : baseAggregator, accumulator = initializer ? initializer() : {};
+          return func(collection, setter, getIteratee(iteratee2, 2), accumulator);
+        };
+      }
+      __name(createAggregator, "createAggregator");
+      function createAssigner(assigner) {
+        return baseRest(function(object, sources) {
+          var index2 = -1, length = sources.length, customizer = length > 1 ? sources[length - 1] : undefined$1, guard = length > 2 ? sources[2] : undefined$1;
+          customizer = assigner.length > 3 && typeof customizer == "function" ? (length--, customizer) : undefined$1;
+          if (guard && isIterateeCall(sources[0], sources[1], guard)) {
+            customizer = length < 3 ? undefined$1 : customizer;
+            length = 1;
+          }
+          object = Object2(object);
+          while (++index2 < length) {
+            var source = sources[index2];
+            if (source) {
+              assigner(object, source, index2, customizer);
+            }
+          }
+          return object;
+        });
+      }
+      __name(createAssigner, "createAssigner");
+      function createBaseEach(eachFunc, fromRight) {
+        return function(collection, iteratee2) {
+          if (collection == null) {
+            return collection;
+          }
+          if (!isArrayLike(collection)) {
+            return eachFunc(collection, iteratee2);
+          }
+          var length = collection.length, index2 = fromRight ? length : -1, iterable = Object2(collection);
+          while (fromRight ? index2-- : ++index2 < length) {
+            if (iteratee2(iterable[index2], index2, iterable) === false) {
+              break;
+            }
+          }
+          return collection;
+        };
+      }
+      __name(createBaseEach, "createBaseEach");
+      function createBaseFor(fromRight) {
+        return function(object, iteratee2, keysFunc) {
+          var index2 = -1, iterable = Object2(object), props = keysFunc(object), length = props.length;
+          while (length--) {
+            var key = props[fromRight ? length : ++index2];
+            if (iteratee2(iterable[key], key, iterable) === false) {
+              break;
+            }
+          }
+          return object;
+        };
+      }
+      __name(createBaseFor, "createBaseFor");
+      function createBind(func, bitmask, thisArg) {
+        var isBind = bitmask & WRAP_BIND_FLAG, Ctor = createCtor(func);
+        function wrapper() {
+          var fn = this && this !== root26 && this instanceof wrapper ? Ctor : func;
+          return fn.apply(isBind ? thisArg : this, arguments);
+        }
+        __name(wrapper, "wrapper");
+        return wrapper;
+      }
+      __name(createBind, "createBind");
+      function createCaseFirst(methodName) {
+        return function(string) {
+          string = toString3(string);
+          var strSymbols = hasUnicode(string) ? stringToArray(string) : undefined$1;
+          var chr = strSymbols ? strSymbols[0] : string.charAt(0);
+          var trailing = strSymbols ? castSlice(strSymbols, 1).join("") : string.slice(1);
+          return chr[methodName]() + trailing;
+        };
+      }
+      __name(createCaseFirst, "createCaseFirst");
+      function createCompounder(callback) {
+        return function(string) {
+          return arrayReduce(words(deburr(string).replace(reApos, "")), callback, "");
+        };
+      }
+      __name(createCompounder, "createCompounder");
+      function createCtor(Ctor) {
+        return function() {
+          var args = arguments;
+          switch (args.length) {
+            case 0:
+              return new Ctor();
+            case 1:
+              return new Ctor(args[0]);
+            case 2:
+              return new Ctor(args[0], args[1]);
+            case 3:
+              return new Ctor(args[0], args[1], args[2]);
+            case 4:
+              return new Ctor(args[0], args[1], args[2], args[3]);
+            case 5:
+              return new Ctor(args[0], args[1], args[2], args[3], args[4]);
+            case 6:
+              return new Ctor(args[0], args[1], args[2], args[3], args[4], args[5]);
+            case 7:
+              return new Ctor(args[0], args[1], args[2], args[3], args[4], args[5], args[6]);
+          }
+          var thisBinding = baseCreate(Ctor.prototype), result2 = Ctor.apply(thisBinding, args);
+          return isObject3(result2) ? result2 : thisBinding;
+        };
+      }
+      __name(createCtor, "createCtor");
+      function createCurry(func, bitmask, arity) {
+        var Ctor = createCtor(func);
+        function wrapper() {
+          var length = arguments.length, args = Array2(length), index2 = length, placeholder = getHolder(wrapper);
+          while (index2--) {
+            args[index2] = arguments[index2];
+          }
+          var holders = length < 3 && args[0] !== placeholder && args[length - 1] !== placeholder ? [] : replaceHolders(args, placeholder);
+          length -= holders.length;
+          if (length < arity) {
+            return createRecurry(
+              func,
+              bitmask,
+              createHybrid,
+              wrapper.placeholder,
+              undefined$1,
+              args,
+              holders,
+              undefined$1,
+              undefined$1,
+              arity - length
+            );
+          }
+          var fn = this && this !== root26 && this instanceof wrapper ? Ctor : func;
+          return apply2(fn, this, args);
+        }
+        __name(wrapper, "wrapper");
+        return wrapper;
+      }
+      __name(createCurry, "createCurry");
+      function createFind(findIndexFunc) {
+        return function(collection, predicate, fromIndex) {
+          var iterable = Object2(collection);
+          if (!isArrayLike(collection)) {
+            var iteratee2 = getIteratee(predicate, 3);
+            collection = keys2(collection);
+            predicate = /* @__PURE__ */ __name(function(key) {
+              return iteratee2(iterable[key], key, iterable);
+            }, "predicate");
+          }
+          var index2 = findIndexFunc(collection, predicate, fromIndex);
+          return index2 > -1 ? iterable[iteratee2 ? collection[index2] : index2] : undefined$1;
+        };
+      }
+      __name(createFind, "createFind");
+      function createFlow(fromRight) {
+        return flatRest(function(funcs) {
+          var length = funcs.length, index2 = length, prereq = LodashWrapper.prototype.thru;
+          if (fromRight) {
+            funcs.reverse();
+          }
+          while (index2--) {
+            var func = funcs[index2];
+            if (typeof func != "function") {
+              throw new TypeError2(FUNC_ERROR_TEXT);
+            }
+            if (prereq && !wrapper && getFuncName(func) == "wrapper") {
+              var wrapper = new LodashWrapper([], true);
+            }
+          }
+          index2 = wrapper ? index2 : length;
+          while (++index2 < length) {
+            func = funcs[index2];
+            var funcName = getFuncName(func), data24 = funcName == "wrapper" ? getData(func) : undefined$1;
+            if (data24 && isLaziable(data24[0]) && data24[1] == (WRAP_ARY_FLAG | WRAP_CURRY_FLAG | WRAP_PARTIAL_FLAG | WRAP_REARG_FLAG) && !data24[4].length && data24[9] == 1) {
+              wrapper = wrapper[getFuncName(data24[0])].apply(wrapper, data24[3]);
+            } else {
+              wrapper = func.length == 1 && isLaziable(func) ? wrapper[funcName]() : wrapper.thru(func);
+            }
+          }
+          return function() {
+            var args = arguments, value3 = args[0];
+            if (wrapper && args.length == 1 && isArray3(value3)) {
+              return wrapper.plant(value3).value();
+            }
+            var index3 = 0, result2 = length ? funcs[index3].apply(this, args) : value3;
+            while (++index3 < length) {
+              result2 = funcs[index3].call(this, result2);
+            }
+            return result2;
+          };
+        });
+      }
+      __name(createFlow, "createFlow");
+      function createHybrid(func, bitmask, thisArg, partials, holders, partialsRight, holdersRight, argPos, ary2, arity) {
+        var isAry = bitmask & WRAP_ARY_FLAG, isBind = bitmask & WRAP_BIND_FLAG, isBindKey = bitmask & WRAP_BIND_KEY_FLAG, isCurried = bitmask & (WRAP_CURRY_FLAG | WRAP_CURRY_RIGHT_FLAG), isFlip = bitmask & WRAP_FLIP_FLAG, Ctor = isBindKey ? undefined$1 : createCtor(func);
+        function wrapper() {
+          var length = arguments.length, args = Array2(length), index2 = length;
+          while (index2--) {
+            args[index2] = arguments[index2];
+          }
+          if (isCurried) {
+            var placeholder = getHolder(wrapper), holdersCount = countHolders(args, placeholder);
+          }
+          if (partials) {
+            args = composeArgs(args, partials, holders, isCurried);
+          }
+          if (partialsRight) {
+            args = composeArgsRight(args, partialsRight, holdersRight, isCurried);
+          }
+          length -= holdersCount;
+          if (isCurried && length < arity) {
+            var newHolders = replaceHolders(args, placeholder);
+            return createRecurry(
+              func,
+              bitmask,
+              createHybrid,
+              wrapper.placeholder,
+              thisArg,
+              args,
+              newHolders,
+              argPos,
+              ary2,
+              arity - length
+            );
+          }
+          var thisBinding = isBind ? thisArg : this, fn = isBindKey ? thisBinding[func] : func;
+          length = args.length;
+          if (argPos) {
+            args = reorder(args, argPos);
+          } else if (isFlip && length > 1) {
+            args.reverse();
+          }
+          if (isAry && ary2 < length) {
+            args.length = ary2;
+          }
+          if (this && this !== root26 && this instanceof wrapper) {
+            fn = Ctor || createCtor(fn);
+          }
+          return fn.apply(thisBinding, args);
+        }
+        __name(wrapper, "wrapper");
+        return wrapper;
+      }
+      __name(createHybrid, "createHybrid");
+      function createInverter(setter, toIteratee) {
+        return function(object, iteratee2) {
+          return baseInverter(object, setter, toIteratee(iteratee2), {});
+        };
+      }
+      __name(createInverter, "createInverter");
+      function createMathOperation(operator, defaultValue) {
+        return function(value3, other) {
+          var result2;
+          if (value3 === undefined$1 && other === undefined$1) {
+            return defaultValue;
+          }
+          if (value3 !== undefined$1) {
+            result2 = value3;
+          }
+          if (other !== undefined$1) {
+            if (result2 === undefined$1) {
+              return other;
+            }
+            if (typeof value3 == "string" || typeof other == "string") {
+              value3 = baseToString2(value3);
+              other = baseToString2(other);
+            } else {
+              value3 = baseToNumber(value3);
+              other = baseToNumber(other);
+            }
+            result2 = operator(value3, other);
+          }
+          return result2;
+        };
+      }
+      __name(createMathOperation, "createMathOperation");
+      function createOver(arrayFunc) {
+        return flatRest(function(iteratees) {
+          iteratees = arrayMap(iteratees, baseUnary(getIteratee()));
+          return baseRest(function(args) {
+            var thisArg = this;
+            return arrayFunc(iteratees, function(iteratee2) {
+              return apply2(iteratee2, thisArg, args);
+            });
+          });
+        });
+      }
+      __name(createOver, "createOver");
+      function createPadding(length, chars) {
+        chars = chars === undefined$1 ? " " : baseToString2(chars);
+        var charsLength = chars.length;
+        if (charsLength < 2) {
+          return charsLength ? baseRepeat(chars, length) : chars;
+        }
+        var result2 = baseRepeat(chars, nativeCeil(length / stringSize(chars)));
+        return hasUnicode(chars) ? castSlice(stringToArray(result2), 0, length).join("") : result2.slice(0, length);
+      }
+      __name(createPadding, "createPadding");
+      function createPartial(func, bitmask, thisArg, partials) {
+        var isBind = bitmask & WRAP_BIND_FLAG, Ctor = createCtor(func);
+        function wrapper() {
+          var argsIndex = -1, argsLength = arguments.length, leftIndex = -1, leftLength = partials.length, args = Array2(leftLength + argsLength), fn = this && this !== root26 && this instanceof wrapper ? Ctor : func;
+          while (++leftIndex < leftLength) {
+            args[leftIndex] = partials[leftIndex];
+          }
+          while (argsLength--) {
+            args[leftIndex++] = arguments[++argsIndex];
+          }
+          return apply2(fn, isBind ? thisArg : this, args);
+        }
+        __name(wrapper, "wrapper");
+        return wrapper;
+      }
+      __name(createPartial, "createPartial");
+      function createRange(fromRight) {
+        return function(start2, end, step2) {
+          if (step2 && typeof step2 != "number" && isIterateeCall(start2, end, step2)) {
+            end = step2 = undefined$1;
+          }
+          start2 = toFinite(start2);
+          if (end === undefined$1) {
+            end = start2;
+            start2 = 0;
+          } else {
+            end = toFinite(end);
+          }
+          step2 = step2 === undefined$1 ? start2 < end ? 1 : -1 : toFinite(step2);
+          return baseRange(start2, end, step2, fromRight);
+        };
+      }
+      __name(createRange, "createRange");
+      function createRelationalOperation(operator) {
+        return function(value3, other) {
+          if (!(typeof value3 == "string" && typeof other == "string")) {
+            value3 = toNumber2(value3);
+            other = toNumber2(other);
+          }
+          return operator(value3, other);
+        };
+      }
+      __name(createRelationalOperation, "createRelationalOperation");
+      function createRecurry(func, bitmask, wrapFunc, placeholder, thisArg, partials, holders, argPos, ary2, arity) {
+        var isCurry = bitmask & WRAP_CURRY_FLAG, newHolders = isCurry ? holders : undefined$1, newHoldersRight = isCurry ? undefined$1 : holders, newPartials = isCurry ? partials : undefined$1, newPartialsRight = isCurry ? undefined$1 : partials;
+        bitmask |= isCurry ? WRAP_PARTIAL_FLAG : WRAP_PARTIAL_RIGHT_FLAG;
+        bitmask &= ~(isCurry ? WRAP_PARTIAL_RIGHT_FLAG : WRAP_PARTIAL_FLAG);
+        if (!(bitmask & WRAP_CURRY_BOUND_FLAG)) {
+          bitmask &= ~(WRAP_BIND_FLAG | WRAP_BIND_KEY_FLAG);
+        }
+        var newData = [
+          func,
+          bitmask,
+          thisArg,
+          newPartials,
+          newHolders,
+          newPartialsRight,
+          newHoldersRight,
+          argPos,
+          ary2,
+          arity
+        ];
+        var result2 = wrapFunc.apply(undefined$1, newData);
+        if (isLaziable(func)) {
+          setData(result2, newData);
+        }
+        result2.placeholder = placeholder;
+        return setWrapToString(result2, func, bitmask);
+      }
+      __name(createRecurry, "createRecurry");
+      function createRound(methodName) {
+        var func = Math2[methodName];
+        return function(number2, precision) {
+          number2 = toNumber2(number2);
+          precision = precision == null ? 0 : nativeMin(toInteger(precision), 292);
+          if (precision && nativeIsFinite(number2)) {
+            var pair = (toString3(number2) + "e").split("e"), value3 = func(pair[0] + "e" + (+pair[1] + precision));
+            pair = (toString3(value3) + "e").split("e");
+            return +(pair[0] + "e" + (+pair[1] - precision));
+          }
+          return func(number2);
+        };
+      }
+      __name(createRound, "createRound");
+      var createSet = !(Set2 && 1 / setToArray(new Set2([, -0]))[1] == INFINITY2) ? noop2 : function(values3) {
+        return new Set2(values3);
+      };
+      function createToPairs(keysFunc) {
+        return function(object) {
+          var tag = getTag2(object);
+          if (tag == mapTag) {
+            return mapToArray(object);
+          }
+          if (tag == setTag) {
+            return setToPairs(object);
+          }
+          return baseToPairs(object, keysFunc(object));
+        };
+      }
+      __name(createToPairs, "createToPairs");
+      function createWrap(func, bitmask, thisArg, partials, holders, argPos, ary2, arity) {
+        var isBindKey = bitmask & WRAP_BIND_KEY_FLAG;
+        if (!isBindKey && typeof func != "function") {
+          throw new TypeError2(FUNC_ERROR_TEXT);
+        }
+        var length = partials ? partials.length : 0;
+        if (!length) {
+          bitmask &= ~(WRAP_PARTIAL_FLAG | WRAP_PARTIAL_RIGHT_FLAG);
+          partials = holders = undefined$1;
+        }
+        ary2 = ary2 === undefined$1 ? ary2 : nativeMax(toInteger(ary2), 0);
+        arity = arity === undefined$1 ? arity : toInteger(arity);
+        length -= holders ? holders.length : 0;
+        if (bitmask & WRAP_PARTIAL_RIGHT_FLAG) {
+          var partialsRight = partials, holdersRight = holders;
+          partials = holders = undefined$1;
+        }
+        var data24 = isBindKey ? undefined$1 : getData(func);
+        var newData = [
+          func,
+          bitmask,
+          thisArg,
+          partials,
+          holders,
+          partialsRight,
+          holdersRight,
+          argPos,
+          ary2,
+          arity
+        ];
+        if (data24) {
+          mergeData(newData, data24);
+        }
+        func = newData[0];
+        bitmask = newData[1];
+        thisArg = newData[2];
+        partials = newData[3];
+        holders = newData[4];
+        arity = newData[9] = newData[9] === undefined$1 ? isBindKey ? 0 : func.length : nativeMax(newData[9] - length, 0);
+        if (!arity && bitmask & (WRAP_CURRY_FLAG | WRAP_CURRY_RIGHT_FLAG)) {
+          bitmask &= ~(WRAP_CURRY_FLAG | WRAP_CURRY_RIGHT_FLAG);
+        }
+        if (!bitmask || bitmask == WRAP_BIND_FLAG) {
+          var result2 = createBind(func, bitmask, thisArg);
+        } else if (bitmask == WRAP_CURRY_FLAG || bitmask == WRAP_CURRY_RIGHT_FLAG) {
+          result2 = createCurry(func, bitmask, arity);
+        } else if ((bitmask == WRAP_PARTIAL_FLAG || bitmask == (WRAP_BIND_FLAG | WRAP_PARTIAL_FLAG)) && !holders.length) {
+          result2 = createPartial(func, bitmask, thisArg, partials);
+        } else {
+          result2 = createHybrid.apply(undefined$1, newData);
+        }
+        var setter = data24 ? baseSetData : setData;
+        return setWrapToString(setter(result2, newData), func, bitmask);
+      }
+      __name(createWrap, "createWrap");
+      function customDefaultsAssignIn(objValue, srcValue, key, object) {
+        if (objValue === undefined$1 || eq(objValue, objectProto[key]) && !hasOwnProperty2.call(object, key)) {
+          return srcValue;
+        }
+        return objValue;
+      }
+      __name(customDefaultsAssignIn, "customDefaultsAssignIn");
+      function customDefaultsMerge(objValue, srcValue, key, object, source, stack2) {
+        if (isObject3(objValue) && isObject3(srcValue)) {
+          stack2.set(srcValue, objValue);
+          baseMerge(objValue, srcValue, undefined$1, customDefaultsMerge, stack2);
+          stack2["delete"](srcValue);
+        }
+        return objValue;
+      }
+      __name(customDefaultsMerge, "customDefaultsMerge");
+      function customOmitClone(value3) {
+        return isPlainObject2(value3) ? undefined$1 : value3;
+      }
+      __name(customOmitClone, "customOmitClone");
+      function equalArrays(array, other, bitmask, customizer, equalFunc, stack2) {
+        var isPartial = bitmask & COMPARE_PARTIAL_FLAG, arrLength = array.length, othLength = other.length;
+        if (arrLength != othLength && !(isPartial && othLength > arrLength)) {
+          return false;
+        }
+        var arrStacked = stack2.get(array);
+        var othStacked = stack2.get(other);
+        if (arrStacked && othStacked) {
+          return arrStacked == other && othStacked == array;
+        }
+        var index2 = -1, result2 = true, seen2 = bitmask & COMPARE_UNORDERED_FLAG ? new SetCache() : undefined$1;
+        stack2.set(array, other);
+        stack2.set(other, array);
+        while (++index2 < arrLength) {
+          var arrValue = array[index2], othValue = other[index2];
+          if (customizer) {
+            var compared = isPartial ? customizer(othValue, arrValue, index2, other, array, stack2) : customizer(arrValue, othValue, index2, array, other, stack2);
+          }
+          if (compared !== undefined$1) {
+            if (compared) {
+              continue;
+            }
+            result2 = false;
+            break;
+          }
+          if (seen2) {
+            if (!arraySome(other, function(othValue2, othIndex) {
+              if (!cacheHas(seen2, othIndex) && (arrValue === othValue2 || equalFunc(arrValue, othValue2, bitmask, customizer, stack2))) {
+                return seen2.push(othIndex);
+              }
+            })) {
+              result2 = false;
+              break;
+            }
+          } else if (!(arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack2))) {
+            result2 = false;
+            break;
+          }
+        }
+        stack2["delete"](array);
+        stack2["delete"](other);
+        return result2;
+      }
+      __name(equalArrays, "equalArrays");
+      function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack2) {
+        switch (tag) {
+          case dataViewTag:
+            if (object.byteLength != other.byteLength || object.byteOffset != other.byteOffset) {
+              return false;
+            }
+            object = object.buffer;
+            other = other.buffer;
+          case arrayBufferTag:
+            if (object.byteLength != other.byteLength || !equalFunc(new Uint8Array2(object), new Uint8Array2(other))) {
+              return false;
+            }
+            return true;
+          case boolTag:
+          case dateTag:
+          case numberTag:
+            return eq(+object, +other);
+          case errorTag:
+            return object.name == other.name && object.message == other.message;
+          case regexpTag:
+          case stringTag:
+            return object == other + "";
+          case mapTag:
+            var convert = mapToArray;
+          case setTag:
+            var isPartial = bitmask & COMPARE_PARTIAL_FLAG;
+            convert || (convert = setToArray);
+            if (object.size != other.size && !isPartial) {
+              return false;
+            }
+            var stacked = stack2.get(object);
+            if (stacked) {
+              return stacked == other;
+            }
+            bitmask |= COMPARE_UNORDERED_FLAG;
+            stack2.set(object, other);
+            var result2 = equalArrays(convert(object), convert(other), bitmask, customizer, equalFunc, stack2);
+            stack2["delete"](object);
+            return result2;
+          case symbolTag:
+            if (symbolValueOf) {
+              return symbolValueOf.call(object) == symbolValueOf.call(other);
+            }
+        }
+        return false;
+      }
+      __name(equalByTag, "equalByTag");
+      function equalObjects(object, other, bitmask, customizer, equalFunc, stack2) {
+        var isPartial = bitmask & COMPARE_PARTIAL_FLAG, objProps = getAllKeys(object), objLength = objProps.length, othProps = getAllKeys(other), othLength = othProps.length;
+        if (objLength != othLength && !isPartial) {
+          return false;
+        }
+        var index2 = objLength;
+        while (index2--) {
+          var key = objProps[index2];
+          if (!(isPartial ? key in other : hasOwnProperty2.call(other, key))) {
+            return false;
+          }
+        }
+        var objStacked = stack2.get(object);
+        var othStacked = stack2.get(other);
+        if (objStacked && othStacked) {
+          return objStacked == other && othStacked == object;
+        }
+        var result2 = true;
+        stack2.set(object, other);
+        stack2.set(other, object);
+        var skipCtor = isPartial;
+        while (++index2 < objLength) {
+          key = objProps[index2];
+          var objValue = object[key], othValue = other[key];
+          if (customizer) {
+            var compared = isPartial ? customizer(othValue, objValue, key, other, object, stack2) : customizer(objValue, othValue, key, object, other, stack2);
+          }
+          if (!(compared === undefined$1 ? objValue === othValue || equalFunc(objValue, othValue, bitmask, customizer, stack2) : compared)) {
+            result2 = false;
+            break;
+          }
+          skipCtor || (skipCtor = key == "constructor");
+        }
+        if (result2 && !skipCtor) {
+          var objCtor = object.constructor, othCtor = other.constructor;
+          if (objCtor != othCtor && ("constructor" in object && "constructor" in other) && !(typeof objCtor == "function" && objCtor instanceof objCtor && typeof othCtor == "function" && othCtor instanceof othCtor)) {
+            result2 = false;
+          }
+        }
+        stack2["delete"](object);
+        stack2["delete"](other);
+        return result2;
+      }
+      __name(equalObjects, "equalObjects");
+      function flatRest(func) {
+        return setToString(overRest(func, undefined$1, flatten), func + "");
+      }
+      __name(flatRest, "flatRest");
+      function getAllKeys(object) {
+        return baseGetAllKeys(object, keys2, getSymbols);
+      }
+      __name(getAllKeys, "getAllKeys");
+      function getAllKeysIn(object) {
+        return baseGetAllKeys(object, keysIn, getSymbolsIn);
+      }
+      __name(getAllKeysIn, "getAllKeysIn");
+      var getData = !metaMap ? noop2 : function(func) {
+        return metaMap.get(func);
+      };
+      function getFuncName(func) {
+        var result2 = func.name + "", array = realNames[result2], length = hasOwnProperty2.call(realNames, result2) ? array.length : 0;
+        while (length--) {
+          var data24 = array[length], otherFunc = data24.func;
+          if (otherFunc == null || otherFunc == func) {
+            return data24.name;
+          }
+        }
+        return result2;
+      }
+      __name(getFuncName, "getFuncName");
+      function getHolder(func) {
+        var object = hasOwnProperty2.call(lodash2, "placeholder") ? lodash2 : func;
+        return object.placeholder;
+      }
+      __name(getHolder, "getHolder");
+      function getIteratee() {
+        var result2 = lodash2.iteratee || iteratee;
+        result2 = result2 === iteratee ? baseIteratee : result2;
+        return arguments.length ? result2(arguments[0], arguments[1]) : result2;
+      }
+      __name(getIteratee, "getIteratee");
+      function getMapData(map3, key) {
+        var data24 = map3.__data__;
+        return isKeyable(key) ? data24[typeof key == "string" ? "string" : "hash"] : data24.map;
+      }
+      __name(getMapData, "getMapData");
+      function getMatchData(object) {
+        var result2 = keys2(object), length = result2.length;
+        while (length--) {
+          var key = result2[length], value3 = object[key];
+          result2[length] = [key, value3, isStrictComparable(value3)];
+        }
+        return result2;
+      }
+      __name(getMatchData, "getMatchData");
+      function getNative(object, key) {
+        var value3 = getValue2(object, key);
+        return baseIsNative(value3) ? value3 : undefined$1;
+      }
+      __name(getNative, "getNative");
+      function getRawTag(value3) {
+        var isOwn = hasOwnProperty2.call(value3, symToStringTag), tag = value3[symToStringTag];
+        try {
+          value3[symToStringTag] = undefined$1;
+          var unmasked = true;
+        } catch (e) {
+        }
+        var result2 = nativeObjectToString.call(value3);
+        if (unmasked) {
+          if (isOwn) {
+            value3[symToStringTag] = tag;
+          } else {
+            delete value3[symToStringTag];
+          }
+        }
+        return result2;
+      }
+      __name(getRawTag, "getRawTag");
+      var getSymbols = !nativeGetSymbols ? stubArray : function(object) {
+        if (object == null) {
+          return [];
+        }
+        object = Object2(object);
+        return arrayFilter(nativeGetSymbols(object), function(symbol) {
+          return propertyIsEnumerable.call(object, symbol);
+        });
+      };
+      var getSymbolsIn = !nativeGetSymbols ? stubArray : function(object) {
+        var result2 = [];
+        while (object) {
+          arrayPush(result2, getSymbols(object));
+          object = getPrototype(object);
+        }
+        return result2;
+      };
+      var getTag2 = baseGetTag;
+      if (DataView2 && getTag2(new DataView2(new ArrayBuffer(1))) != dataViewTag || Map2 && getTag2(new Map2()) != mapTag || Promise2 && getTag2(Promise2.resolve()) != promiseTag || Set2 && getTag2(new Set2()) != setTag || WeakMap2 && getTag2(new WeakMap2()) != weakMapTag) {
+        getTag2 = /* @__PURE__ */ __name(function(value3) {
+          var result2 = baseGetTag(value3), Ctor = result2 == objectTag ? value3.constructor : undefined$1, ctorString = Ctor ? toSource(Ctor) : "";
+          if (ctorString) {
+            switch (ctorString) {
+              case dataViewCtorString:
+                return dataViewTag;
+              case mapCtorString:
+                return mapTag;
+              case promiseCtorString:
+                return promiseTag;
+              case setCtorString:
+                return setTag;
+              case weakMapCtorString:
+                return weakMapTag;
+            }
+          }
+          return result2;
+        }, "getTag");
+      }
+      function getView(start2, end, transforms) {
+        var index2 = -1, length = transforms.length;
+        while (++index2 < length) {
+          var data24 = transforms[index2], size3 = data24.size;
+          switch (data24.type) {
+            case "drop":
+              start2 += size3;
+              break;
+            case "dropRight":
+              end -= size3;
+              break;
+            case "take":
+              end = nativeMin(end, start2 + size3);
+              break;
+            case "takeRight":
+              start2 = nativeMax(start2, end - size3);
+              break;
+          }
+        }
+        return { "start": start2, "end": end };
+      }
+      __name(getView, "getView");
+      function getWrapDetails(source) {
+        var match = source.match(reWrapDetails);
+        return match ? match[1].split(reSplitDetails) : [];
+      }
+      __name(getWrapDetails, "getWrapDetails");
+      function hasPath(object, path, hasFunc) {
+        path = castPath(path, object);
+        var index2 = -1, length = path.length, result2 = false;
+        while (++index2 < length) {
+          var key = toKey(path[index2]);
+          if (!(result2 = object != null && hasFunc(object, key))) {
+            break;
+          }
+          object = object[key];
+        }
+        if (result2 || ++index2 != length) {
+          return result2;
+        }
+        length = object == null ? 0 : object.length;
+        return !!length && isLength(length) && isIndex(key, length) && (isArray3(object) || isArguments(object));
+      }
+      __name(hasPath, "hasPath");
+      function initCloneArray(array) {
+        var length = array.length, result2 = new array.constructor(length);
+        if (length && typeof array[0] == "string" && hasOwnProperty2.call(array, "index")) {
+          result2.index = array.index;
+          result2.input = array.input;
+        }
+        return result2;
+      }
+      __name(initCloneArray, "initCloneArray");
+      function initCloneObject(object) {
+        return typeof object.constructor == "function" && !isPrototype(object) ? baseCreate(getPrototype(object)) : {};
+      }
+      __name(initCloneObject, "initCloneObject");
+      function initCloneByTag(object, tag, isDeep) {
+        var Ctor = object.constructor;
+        switch (tag) {
+          case arrayBufferTag:
+            return cloneArrayBuffer(object);
+          case boolTag:
+          case dateTag:
+            return new Ctor(+object);
+          case dataViewTag:
+            return cloneDataView(object, isDeep);
+          case float32Tag:
+          case float64Tag:
+          case int8Tag:
+          case int16Tag:
+          case int32Tag:
+          case uint8Tag:
+          case uint8ClampedTag:
+          case uint16Tag:
+          case uint32Tag:
+            return cloneTypedArray(object, isDeep);
+          case mapTag:
+            return new Ctor();
+          case numberTag:
+          case stringTag:
+            return new Ctor(object);
+          case regexpTag:
+            return cloneRegExp(object);
+          case setTag:
+            return new Ctor();
+          case symbolTag:
+            return cloneSymbol(object);
+        }
+      }
+      __name(initCloneByTag, "initCloneByTag");
+      function insertWrapDetails(source, details) {
+        var length = details.length;
+        if (!length) {
+          return source;
+        }
+        var lastIndex = length - 1;
+        details[lastIndex] = (length > 1 ? "& " : "") + details[lastIndex];
+        details = details.join(length > 2 ? ", " : " ");
+        return source.replace(reWrapComment, "{\n/* [wrapped with " + details + "] */\n");
+      }
+      __name(insertWrapDetails, "insertWrapDetails");
+      function isFlattenable(value3) {
+        return isArray3(value3) || isArguments(value3) || !!(spreadableSymbol && value3 && value3[spreadableSymbol]);
+      }
+      __name(isFlattenable, "isFlattenable");
+      function isIndex(value3, length) {
+        var type = typeof value3;
+        length = length == null ? MAX_SAFE_INTEGER : length;
+        return !!length && (type == "number" || type != "symbol" && reIsUint.test(value3)) && (value3 > -1 && value3 % 1 == 0 && value3 < length);
+      }
+      __name(isIndex, "isIndex");
+      function isIterateeCall(value3, index2, object) {
+        if (!isObject3(object)) {
+          return false;
+        }
+        var type = typeof index2;
+        if (type == "number" ? isArrayLike(object) && isIndex(index2, object.length) : type == "string" && index2 in object) {
+          return eq(object[index2], value3);
+        }
+        return false;
+      }
+      __name(isIterateeCall, "isIterateeCall");
+      function isKey(value3, object) {
+        if (isArray3(value3)) {
+          return false;
+        }
+        var type = typeof value3;
+        if (type == "number" || type == "symbol" || type == "boolean" || value3 == null || isSymbol2(value3)) {
+          return true;
+        }
+        return reIsPlainProp.test(value3) || !reIsDeepProp.test(value3) || object != null && value3 in Object2(object);
+      }
+      __name(isKey, "isKey");
+      function isKeyable(value3) {
+        var type = typeof value3;
+        return type == "string" || type == "number" || type == "symbol" || type == "boolean" ? value3 !== "__proto__" : value3 === null;
+      }
+      __name(isKeyable, "isKeyable");
+      function isLaziable(func) {
+        var funcName = getFuncName(func), other = lodash2[funcName];
+        if (typeof other != "function" || !(funcName in LazyWrapper.prototype)) {
+          return false;
+        }
+        if (func === other) {
+          return true;
+        }
+        var data24 = getData(other);
+        return !!data24 && func === data24[0];
+      }
+      __name(isLaziable, "isLaziable");
+      function isMasked(func) {
+        return !!maskSrcKey && maskSrcKey in func;
+      }
+      __name(isMasked, "isMasked");
+      var isMaskable = coreJsData ? isFunction3 : stubFalse;
+      function isPrototype(value3) {
+        var Ctor = value3 && value3.constructor, proto = typeof Ctor == "function" && Ctor.prototype || objectProto;
+        return value3 === proto;
+      }
+      __name(isPrototype, "isPrototype");
+      function isStrictComparable(value3) {
+        return value3 === value3 && !isObject3(value3);
+      }
+      __name(isStrictComparable, "isStrictComparable");
+      function matchesStrictComparable(key, srcValue) {
+        return function(object) {
+          if (object == null) {
+            return false;
+          }
+          return object[key] === srcValue && (srcValue !== undefined$1 || key in Object2(object));
+        };
+      }
+      __name(matchesStrictComparable, "matchesStrictComparable");
+      function memoizeCapped(func) {
+        var result2 = memoize(func, function(key) {
+          if (cache2.size === MAX_MEMOIZE_SIZE) {
+            cache2.clear();
+          }
+          return key;
+        });
+        var cache2 = result2.cache;
+        return result2;
+      }
+      __name(memoizeCapped, "memoizeCapped");
+      function mergeData(data24, source) {
+        var bitmask = data24[1], srcBitmask = source[1], newBitmask = bitmask | srcBitmask, isCommon = newBitmask < (WRAP_BIND_FLAG | WRAP_BIND_KEY_FLAG | WRAP_ARY_FLAG);
+        var isCombo = srcBitmask == WRAP_ARY_FLAG && bitmask == WRAP_CURRY_FLAG || srcBitmask == WRAP_ARY_FLAG && bitmask == WRAP_REARG_FLAG && data24[7].length <= source[8] || srcBitmask == (WRAP_ARY_FLAG | WRAP_REARG_FLAG) && source[7].length <= source[8] && bitmask == WRAP_CURRY_FLAG;
+        if (!(isCommon || isCombo)) {
+          return data24;
+        }
+        if (srcBitmask & WRAP_BIND_FLAG) {
+          data24[2] = source[2];
+          newBitmask |= bitmask & WRAP_BIND_FLAG ? 0 : WRAP_CURRY_BOUND_FLAG;
+        }
+        var value3 = source[3];
+        if (value3) {
+          var partials = data24[3];
+          data24[3] = partials ? composeArgs(partials, value3, source[4]) : value3;
+          data24[4] = partials ? replaceHolders(data24[3], PLACEHOLDER) : source[4];
+        }
+        value3 = source[5];
+        if (value3) {
+          partials = data24[5];
+          data24[5] = partials ? composeArgsRight(partials, value3, source[6]) : value3;
+          data24[6] = partials ? replaceHolders(data24[5], PLACEHOLDER) : source[6];
+        }
+        value3 = source[7];
+        if (value3) {
+          data24[7] = value3;
+        }
+        if (srcBitmask & WRAP_ARY_FLAG) {
+          data24[8] = data24[8] == null ? source[8] : nativeMin(data24[8], source[8]);
+        }
+        if (data24[9] == null) {
+          data24[9] = source[9];
+        }
+        data24[0] = source[0];
+        data24[1] = newBitmask;
+        return data24;
+      }
+      __name(mergeData, "mergeData");
+      function nativeKeysIn(object) {
+        var result2 = [];
+        if (object != null) {
+          for (var key in Object2(object)) {
+            result2.push(key);
+          }
+        }
+        return result2;
+      }
+      __name(nativeKeysIn, "nativeKeysIn");
+      function objectToString2(value3) {
+        return nativeObjectToString.call(value3);
+      }
+      __name(objectToString2, "objectToString");
+      function overRest(func, start2, transform3) {
+        start2 = nativeMax(start2 === undefined$1 ? func.length - 1 : start2, 0);
+        return function() {
+          var args = arguments, index2 = -1, length = nativeMax(args.length - start2, 0), array = Array2(length);
+          while (++index2 < length) {
+            array[index2] = args[start2 + index2];
+          }
+          index2 = -1;
+          var otherArgs = Array2(start2 + 1);
+          while (++index2 < start2) {
+            otherArgs[index2] = args[index2];
+          }
+          otherArgs[start2] = transform3(array);
+          return apply2(func, this, otherArgs);
+        };
+      }
+      __name(overRest, "overRest");
+      function parent(object, path) {
+        return path.length < 2 ? object : baseGet(object, baseSlice(path, 0, -1));
+      }
+      __name(parent, "parent");
+      function reorder(array, indexes) {
+        var arrLength = array.length, length = nativeMin(indexes.length, arrLength), oldArray = copyArray(array);
+        while (length--) {
+          var index2 = indexes[length];
+          array[length] = isIndex(index2, arrLength) ? oldArray[index2] : undefined$1;
+        }
+        return array;
+      }
+      __name(reorder, "reorder");
+      function safeGet(object, key) {
+        if (key === "constructor" && typeof object[key] === "function") {
+          return;
+        }
+        if (key == "__proto__") {
+          return;
+        }
+        return object[key];
+      }
+      __name(safeGet, "safeGet");
+      var setData = shortOut(baseSetData);
+      var setTimeout2 = ctxSetTimeout || function(func, wait) {
+        return root26.setTimeout(func, wait);
+      };
+      var setToString = shortOut(baseSetToString);
+      function setWrapToString(wrapper, reference, bitmask) {
+        var source = reference + "";
+        return setToString(wrapper, insertWrapDetails(source, updateWrapDetails(getWrapDetails(source), bitmask)));
+      }
+      __name(setWrapToString, "setWrapToString");
+      function shortOut(func) {
+        var count = 0, lastCalled = 0;
+        return function() {
+          var stamp = nativeNow(), remaining = HOT_SPAN - (stamp - lastCalled);
+          lastCalled = stamp;
+          if (remaining > 0) {
+            if (++count >= HOT_COUNT) {
+              return arguments[0];
+            }
+          } else {
+            count = 0;
+          }
+          return func.apply(undefined$1, arguments);
+        };
+      }
+      __name(shortOut, "shortOut");
+      function shuffleSelf(array, size3) {
+        var index2 = -1, length = array.length, lastIndex = length - 1;
+        size3 = size3 === undefined$1 ? length : size3;
+        while (++index2 < size3) {
+          var rand2 = baseRandom(index2, lastIndex), value3 = array[rand2];
+          array[rand2] = array[index2];
+          array[index2] = value3;
+        }
+        array.length = size3;
+        return array;
+      }
+      __name(shuffleSelf, "shuffleSelf");
+      var stringToPath = memoizeCapped(function(string) {
+        var result2 = [];
+        if (string.charCodeAt(0) === 46) {
+          result2.push("");
+        }
+        string.replace(rePropName, function(match, number2, quote, subString) {
+          result2.push(quote ? subString.replace(reEscapeChar, "$1") : number2 || match);
+        });
+        return result2;
+      });
+      function toKey(value3) {
+        if (typeof value3 == "string" || isSymbol2(value3)) {
+          return value3;
+        }
+        var result2 = value3 + "";
+        return result2 == "0" && 1 / value3 == -INFINITY2 ? "-0" : result2;
+      }
+      __name(toKey, "toKey");
+      function toSource(func) {
+        if (func != null) {
+          try {
+            return funcToString.call(func);
+          } catch (e) {
+          }
+          try {
+            return func + "";
+          } catch (e) {
+          }
+        }
+        return "";
+      }
+      __name(toSource, "toSource");
+      function updateWrapDetails(details, bitmask) {
+        arrayEach(wrapFlags, function(pair) {
+          var value3 = "_." + pair[0];
+          if (bitmask & pair[1] && !arrayIncludes(details, value3)) {
+            details.push(value3);
+          }
+        });
+        return details.sort();
+      }
+      __name(updateWrapDetails, "updateWrapDetails");
+      function wrapperClone(wrapper) {
+        if (wrapper instanceof LazyWrapper) {
+          return wrapper.clone();
+        }
+        var result2 = new LodashWrapper(wrapper.__wrapped__, wrapper.__chain__);
+        result2.__actions__ = copyArray(wrapper.__actions__);
+        result2.__index__ = wrapper.__index__;
+        result2.__values__ = wrapper.__values__;
+        return result2;
+      }
+      __name(wrapperClone, "wrapperClone");
+      function chunk(array, size3, guard) {
+        if (guard ? isIterateeCall(array, size3, guard) : size3 === undefined$1) {
+          size3 = 1;
+        } else {
+          size3 = nativeMax(toInteger(size3), 0);
+        }
+        var length = array == null ? 0 : array.length;
+        if (!length || size3 < 1) {
+          return [];
+        }
+        var index2 = 0, resIndex = 0, result2 = Array2(nativeCeil(length / size3));
+        while (index2 < length) {
+          result2[resIndex++] = baseSlice(array, index2, index2 += size3);
+        }
+        return result2;
+      }
+      __name(chunk, "chunk");
+      function compact(array) {
+        var index2 = -1, length = array == null ? 0 : array.length, resIndex = 0, result2 = [];
+        while (++index2 < length) {
+          var value3 = array[index2];
+          if (value3) {
+            result2[resIndex++] = value3;
+          }
+        }
+        return result2;
+      }
+      __name(compact, "compact");
+      function concat() {
+        var length = arguments.length;
+        if (!length) {
+          return [];
+        }
+        var args = Array2(length - 1), array = arguments[0], index2 = length;
+        while (index2--) {
+          args[index2 - 1] = arguments[index2];
+        }
+        return arrayPush(isArray3(array) ? copyArray(array) : [array], baseFlatten(args, 1));
+      }
+      __name(concat, "concat");
+      var difference = baseRest(function(array, values3) {
+        return isArrayLikeObject(array) ? baseDifference(array, baseFlatten(values3, 1, isArrayLikeObject, true)) : [];
+      });
+      var differenceBy = baseRest(function(array, values3) {
+        var iteratee2 = last(values3);
+        if (isArrayLikeObject(iteratee2)) {
+          iteratee2 = undefined$1;
+        }
+        return isArrayLikeObject(array) ? baseDifference(array, baseFlatten(values3, 1, isArrayLikeObject, true), getIteratee(iteratee2, 2)) : [];
+      });
+      var differenceWith = baseRest(function(array, values3) {
+        var comparator2 = last(values3);
+        if (isArrayLikeObject(comparator2)) {
+          comparator2 = undefined$1;
+        }
+        return isArrayLikeObject(array) ? baseDifference(array, baseFlatten(values3, 1, isArrayLikeObject, true), undefined$1, comparator2) : [];
+      });
+      function drop(array, n, guard) {
+        var length = array == null ? 0 : array.length;
+        if (!length) {
+          return [];
+        }
+        n = guard || n === undefined$1 ? 1 : toInteger(n);
+        return baseSlice(array, n < 0 ? 0 : n, length);
+      }
+      __name(drop, "drop");
+      function dropRight(array, n, guard) {
+        var length = array == null ? 0 : array.length;
+        if (!length) {
+          return [];
+        }
+        n = guard || n === undefined$1 ? 1 : toInteger(n);
+        n = length - n;
+        return baseSlice(array, 0, n < 0 ? 0 : n);
+      }
+      __name(dropRight, "dropRight");
+      function dropRightWhile(array, predicate) {
+        return array && array.length ? baseWhile(array, getIteratee(predicate, 3), true, true) : [];
+      }
+      __name(dropRightWhile, "dropRightWhile");
+      function dropWhile(array, predicate) {
+        return array && array.length ? baseWhile(array, getIteratee(predicate, 3), true) : [];
+      }
+      __name(dropWhile, "dropWhile");
+      function fill(array, value3, start2, end) {
+        var length = array == null ? 0 : array.length;
+        if (!length) {
+          return [];
+        }
+        if (start2 && typeof start2 != "number" && isIterateeCall(array, value3, start2)) {
+          start2 = 0;
+          end = length;
+        }
+        return baseFill(array, value3, start2, end);
+      }
+      __name(fill, "fill");
+      function findIndex(array, predicate, fromIndex) {
+        var length = array == null ? 0 : array.length;
+        if (!length) {
+          return -1;
+        }
+        var index2 = fromIndex == null ? 0 : toInteger(fromIndex);
+        if (index2 < 0) {
+          index2 = nativeMax(length + index2, 0);
+        }
+        return baseFindIndex(array, getIteratee(predicate, 3), index2);
+      }
+      __name(findIndex, "findIndex");
+      function findLastIndex2(array, predicate, fromIndex) {
+        var length = array == null ? 0 : array.length;
+        if (!length) {
+          return -1;
+        }
+        var index2 = length - 1;
+        if (fromIndex !== undefined$1) {
+          index2 = toInteger(fromIndex);
+          index2 = fromIndex < 0 ? nativeMax(length + index2, 0) : nativeMin(index2, length - 1);
+        }
+        return baseFindIndex(array, getIteratee(predicate, 3), index2, true);
+      }
+      __name(findLastIndex2, "findLastIndex");
+      function flatten(array) {
+        var length = array == null ? 0 : array.length;
+        return length ? baseFlatten(array, 1) : [];
+      }
+      __name(flatten, "flatten");
+      function flattenDeep(array) {
+        var length = array == null ? 0 : array.length;
+        return length ? baseFlatten(array, INFINITY2) : [];
+      }
+      __name(flattenDeep, "flattenDeep");
+      function flattenDepth(array, depth) {
+        var length = array == null ? 0 : array.length;
+        if (!length) {
+          return [];
+        }
+        depth = depth === undefined$1 ? 1 : toInteger(depth);
+        return baseFlatten(array, depth);
+      }
+      __name(flattenDepth, "flattenDepth");
+      function fromPairs(pairs) {
+        var index2 = -1, length = pairs == null ? 0 : pairs.length, result2 = {};
+        while (++index2 < length) {
+          var pair = pairs[index2];
+          result2[pair[0]] = pair[1];
+        }
+        return result2;
+      }
+      __name(fromPairs, "fromPairs");
+      function head(array) {
+        return array && array.length ? array[0] : undefined$1;
+      }
+      __name(head, "head");
+      function indexOf(array, value3, fromIndex) {
+        var length = array == null ? 0 : array.length;
+        if (!length) {
+          return -1;
+        }
+        var index2 = fromIndex == null ? 0 : toInteger(fromIndex);
+        if (index2 < 0) {
+          index2 = nativeMax(length + index2, 0);
+        }
+        return baseIndexOf(array, value3, index2);
+      }
+      __name(indexOf, "indexOf");
+      function initial(array) {
+        var length = array == null ? 0 : array.length;
+        return length ? baseSlice(array, 0, -1) : [];
+      }
+      __name(initial, "initial");
+      var intersection = baseRest(function(arrays) {
+        var mapped = arrayMap(arrays, castArrayLikeObject);
+        return mapped.length && mapped[0] === arrays[0] ? baseIntersection(mapped) : [];
+      });
+      var intersectionBy = baseRest(function(arrays) {
+        var iteratee2 = last(arrays), mapped = arrayMap(arrays, castArrayLikeObject);
+        if (iteratee2 === last(mapped)) {
+          iteratee2 = undefined$1;
+        } else {
+          mapped.pop();
+        }
+        return mapped.length && mapped[0] === arrays[0] ? baseIntersection(mapped, getIteratee(iteratee2, 2)) : [];
+      });
+      var intersectionWith = baseRest(function(arrays) {
+        var comparator2 = last(arrays), mapped = arrayMap(arrays, castArrayLikeObject);
+        comparator2 = typeof comparator2 == "function" ? comparator2 : undefined$1;
+        if (comparator2) {
+          mapped.pop();
+        }
+        return mapped.length && mapped[0] === arrays[0] ? baseIntersection(mapped, undefined$1, comparator2) : [];
+      });
+      function join2(array, separator) {
+        return array == null ? "" : nativeJoin.call(array, separator);
+      }
+      __name(join2, "join");
+      function last(array) {
+        var length = array == null ? 0 : array.length;
+        return length ? array[length - 1] : undefined$1;
+      }
+      __name(last, "last");
+      function lastIndexOf(array, value3, fromIndex) {
+        var length = array == null ? 0 : array.length;
+        if (!length) {
+          return -1;
+        }
+        var index2 = length;
+        if (fromIndex !== undefined$1) {
+          index2 = toInteger(fromIndex);
+          index2 = index2 < 0 ? nativeMax(length + index2, 0) : nativeMin(index2, length - 1);
+        }
+        return value3 === value3 ? strictLastIndexOf(array, value3, index2) : baseFindIndex(array, baseIsNaN, index2, true);
+      }
+      __name(lastIndexOf, "lastIndexOf");
+      function nth(array, n) {
+        return array && array.length ? baseNth(array, toInteger(n)) : undefined$1;
+      }
+      __name(nth, "nth");
+      var pull = baseRest(pullAll);
+      function pullAll(array, values3) {
+        return array && array.length && values3 && values3.length ? basePullAll(array, values3) : array;
+      }
+      __name(pullAll, "pullAll");
+      function pullAllBy(array, values3, iteratee2) {
+        return array && array.length && values3 && values3.length ? basePullAll(array, values3, getIteratee(iteratee2, 2)) : array;
+      }
+      __name(pullAllBy, "pullAllBy");
+      function pullAllWith(array, values3, comparator2) {
+        return array && array.length && values3 && values3.length ? basePullAll(array, values3, undefined$1, comparator2) : array;
+      }
+      __name(pullAllWith, "pullAllWith");
+      var pullAt = flatRest(function(array, indexes) {
+        var length = array == null ? 0 : array.length, result2 = baseAt(array, indexes);
+        basePullAt(array, arrayMap(indexes, function(index2) {
+          return isIndex(index2, length) ? +index2 : index2;
+        }).sort(compareAscending));
+        return result2;
+      });
+      function remove5(array, predicate) {
+        var result2 = [];
+        if (!(array && array.length)) {
+          return result2;
+        }
+        var index2 = -1, indexes = [], length = array.length;
+        predicate = getIteratee(predicate, 3);
+        while (++index2 < length) {
+          var value3 = array[index2];
+          if (predicate(value3, index2, array)) {
+            result2.push(value3);
+            indexes.push(index2);
+          }
+        }
+        basePullAt(array, indexes);
+        return result2;
+      }
+      __name(remove5, "remove");
+      function reverse(array) {
+        return array == null ? array : nativeReverse.call(array);
+      }
+      __name(reverse, "reverse");
+      function slice(array, start2, end) {
+        var length = array == null ? 0 : array.length;
+        if (!length) {
+          return [];
+        }
+        if (end && typeof end != "number" && isIterateeCall(array, start2, end)) {
+          start2 = 0;
+          end = length;
+        } else {
+          start2 = start2 == null ? 0 : toInteger(start2);
+          end = end === undefined$1 ? length : toInteger(end);
+        }
+        return baseSlice(array, start2, end);
+      }
+      __name(slice, "slice");
+      function sortedIndex(array, value3) {
+        return baseSortedIndex(array, value3);
+      }
+      __name(sortedIndex, "sortedIndex");
+      function sortedIndexBy(array, value3, iteratee2) {
+        return baseSortedIndexBy(array, value3, getIteratee(iteratee2, 2));
+      }
+      __name(sortedIndexBy, "sortedIndexBy");
+      function sortedIndexOf(array, value3) {
+        var length = array == null ? 0 : array.length;
+        if (length) {
+          var index2 = baseSortedIndex(array, value3);
+          if (index2 < length && eq(array[index2], value3)) {
+            return index2;
+          }
+        }
+        return -1;
+      }
+      __name(sortedIndexOf, "sortedIndexOf");
+      function sortedLastIndex(array, value3) {
+        return baseSortedIndex(array, value3, true);
+      }
+      __name(sortedLastIndex, "sortedLastIndex");
+      function sortedLastIndexBy(array, value3, iteratee2) {
+        return baseSortedIndexBy(array, value3, getIteratee(iteratee2, 2), true);
+      }
+      __name(sortedLastIndexBy, "sortedLastIndexBy");
+      function sortedLastIndexOf(array, value3) {
+        var length = array == null ? 0 : array.length;
+        if (length) {
+          var index2 = baseSortedIndex(array, value3, true) - 1;
+          if (eq(array[index2], value3)) {
+            return index2;
+          }
+        }
+        return -1;
+      }
+      __name(sortedLastIndexOf, "sortedLastIndexOf");
+      function sortedUniq(array) {
+        return array && array.length ? baseSortedUniq(array) : [];
+      }
+      __name(sortedUniq, "sortedUniq");
+      function sortedUniqBy(array, iteratee2) {
+        return array && array.length ? baseSortedUniq(array, getIteratee(iteratee2, 2)) : [];
+      }
+      __name(sortedUniqBy, "sortedUniqBy");
+      function tail(array) {
+        var length = array == null ? 0 : array.length;
+        return length ? baseSlice(array, 1, length) : [];
+      }
+      __name(tail, "tail");
+      function take(array, n, guard) {
+        if (!(array && array.length)) {
+          return [];
+        }
+        n = guard || n === undefined$1 ? 1 : toInteger(n);
+        return baseSlice(array, 0, n < 0 ? 0 : n);
+      }
+      __name(take, "take");
+      function takeRight(array, n, guard) {
+        var length = array == null ? 0 : array.length;
+        if (!length) {
+          return [];
+        }
+        n = guard || n === undefined$1 ? 1 : toInteger(n);
+        n = length - n;
+        return baseSlice(array, n < 0 ? 0 : n, length);
+      }
+      __name(takeRight, "takeRight");
+      function takeRightWhile(array, predicate) {
+        return array && array.length ? baseWhile(array, getIteratee(predicate, 3), false, true) : [];
+      }
+      __name(takeRightWhile, "takeRightWhile");
+      function takeWhile(array, predicate) {
+        return array && array.length ? baseWhile(array, getIteratee(predicate, 3)) : [];
+      }
+      __name(takeWhile, "takeWhile");
+      var union = baseRest(function(arrays) {
+        return baseUniq(baseFlatten(arrays, 1, isArrayLikeObject, true));
+      });
+      var unionBy = baseRest(function(arrays) {
+        var iteratee2 = last(arrays);
+        if (isArrayLikeObject(iteratee2)) {
+          iteratee2 = undefined$1;
+        }
+        return baseUniq(baseFlatten(arrays, 1, isArrayLikeObject, true), getIteratee(iteratee2, 2));
+      });
+      var unionWith = baseRest(function(arrays) {
+        var comparator2 = last(arrays);
+        comparator2 = typeof comparator2 == "function" ? comparator2 : undefined$1;
+        return baseUniq(baseFlatten(arrays, 1, isArrayLikeObject, true), undefined$1, comparator2);
+      });
+      function uniq2(array) {
+        return array && array.length ? baseUniq(array) : [];
+      }
+      __name(uniq2, "uniq");
+      function uniqBy(array, iteratee2) {
+        return array && array.length ? baseUniq(array, getIteratee(iteratee2, 2)) : [];
+      }
+      __name(uniqBy, "uniqBy");
+      function uniqWith(array, comparator2) {
+        comparator2 = typeof comparator2 == "function" ? comparator2 : undefined$1;
+        return array && array.length ? baseUniq(array, undefined$1, comparator2) : [];
+      }
+      __name(uniqWith, "uniqWith");
+      function unzip(array) {
+        if (!(array && array.length)) {
+          return [];
+        }
+        var length = 0;
+        array = arrayFilter(array, function(group) {
+          if (isArrayLikeObject(group)) {
+            length = nativeMax(group.length, length);
+            return true;
+          }
+        });
+        return baseTimes(length, function(index2) {
+          return arrayMap(array, baseProperty(index2));
+        });
+      }
+      __name(unzip, "unzip");
+      function unzipWith(array, iteratee2) {
+        if (!(array && array.length)) {
+          return [];
+        }
+        var result2 = unzip(array);
+        if (iteratee2 == null) {
+          return result2;
+        }
+        return arrayMap(result2, function(group) {
+          return apply2(iteratee2, undefined$1, group);
+        });
+      }
+      __name(unzipWith, "unzipWith");
+      var without = baseRest(function(array, values3) {
+        return isArrayLikeObject(array) ? baseDifference(array, values3) : [];
+      });
+      var xor = baseRest(function(arrays) {
+        return baseXor(arrayFilter(arrays, isArrayLikeObject));
+      });
+      var xorBy = baseRest(function(arrays) {
+        var iteratee2 = last(arrays);
+        if (isArrayLikeObject(iteratee2)) {
+          iteratee2 = undefined$1;
+        }
+        return baseXor(arrayFilter(arrays, isArrayLikeObject), getIteratee(iteratee2, 2));
+      });
+      var xorWith = baseRest(function(arrays) {
+        var comparator2 = last(arrays);
+        comparator2 = typeof comparator2 == "function" ? comparator2 : undefined$1;
+        return baseXor(arrayFilter(arrays, isArrayLikeObject), undefined$1, comparator2);
+      });
+      var zip = baseRest(unzip);
+      function zipObject(props, values3) {
+        return baseZipObject(props || [], values3 || [], assignValue);
+      }
+      __name(zipObject, "zipObject");
+      function zipObjectDeep(props, values3) {
+        return baseZipObject(props || [], values3 || [], baseSet);
+      }
+      __name(zipObjectDeep, "zipObjectDeep");
+      var zipWith = baseRest(function(arrays) {
+        var length = arrays.length, iteratee2 = length > 1 ? arrays[length - 1] : undefined$1;
+        iteratee2 = typeof iteratee2 == "function" ? (arrays.pop(), iteratee2) : undefined$1;
+        return unzipWith(arrays, iteratee2);
+      });
+      function chain(value3) {
+        var result2 = lodash2(value3);
+        result2.__chain__ = true;
+        return result2;
+      }
+      __name(chain, "chain");
+      function tap(value3, interceptor) {
+        interceptor(value3);
+        return value3;
+      }
+      __name(tap, "tap");
+      function thru(value3, interceptor) {
+        return interceptor(value3);
+      }
+      __name(thru, "thru");
+      var wrapperAt = flatRest(function(paths) {
+        var length = paths.length, start2 = length ? paths[0] : 0, value3 = this.__wrapped__, interceptor = /* @__PURE__ */ __name(function(object) {
+          return baseAt(object, paths);
+        }, "interceptor");
+        if (length > 1 || this.__actions__.length || !(value3 instanceof LazyWrapper) || !isIndex(start2)) {
+          return this.thru(interceptor);
+        }
+        value3 = value3.slice(start2, +start2 + (length ? 1 : 0));
+        value3.__actions__.push({
+          "func": thru,
+          "args": [interceptor],
+          "thisArg": undefined$1
+        });
+        return new LodashWrapper(value3, this.__chain__).thru(function(array) {
+          if (length && !array.length) {
+            array.push(undefined$1);
+          }
+          return array;
+        });
+      });
+      function wrapperChain() {
+        return chain(this);
+      }
+      __name(wrapperChain, "wrapperChain");
+      function wrapperCommit() {
+        return new LodashWrapper(this.value(), this.__chain__);
+      }
+      __name(wrapperCommit, "wrapperCommit");
+      function wrapperNext() {
+        if (this.__values__ === undefined$1) {
+          this.__values__ = toArray2(this.value());
+        }
+        var done = this.__index__ >= this.__values__.length, value3 = done ? undefined$1 : this.__values__[this.__index__++];
+        return { "done": done, "value": value3 };
+      }
+      __name(wrapperNext, "wrapperNext");
+      function wrapperToIterator() {
+        return this;
+      }
+      __name(wrapperToIterator, "wrapperToIterator");
+      function wrapperPlant(value3) {
+        var result2, parent2 = this;
+        while (parent2 instanceof baseLodash) {
+          var clone3 = wrapperClone(parent2);
+          clone3.__index__ = 0;
+          clone3.__values__ = undefined$1;
+          if (result2) {
+            previous.__wrapped__ = clone3;
+          } else {
+            result2 = clone3;
+          }
+          var previous = clone3;
+          parent2 = parent2.__wrapped__;
+        }
+        previous.__wrapped__ = value3;
+        return result2;
+      }
+      __name(wrapperPlant, "wrapperPlant");
+      function wrapperReverse() {
+        var value3 = this.__wrapped__;
+        if (value3 instanceof LazyWrapper) {
+          var wrapped = value3;
+          if (this.__actions__.length) {
+            wrapped = new LazyWrapper(this);
+          }
+          wrapped = wrapped.reverse();
+          wrapped.__actions__.push({
+            "func": thru,
+            "args": [reverse],
+            "thisArg": undefined$1
+          });
+          return new LodashWrapper(wrapped, this.__chain__);
+        }
+        return this.thru(reverse);
+      }
+      __name(wrapperReverse, "wrapperReverse");
+      function wrapperValue() {
+        return baseWrapperValue(this.__wrapped__, this.__actions__);
+      }
+      __name(wrapperValue, "wrapperValue");
+      var countBy = createAggregator(function(result2, value3, key) {
+        if (hasOwnProperty2.call(result2, key)) {
+          ++result2[key];
+        } else {
+          baseAssignValue(result2, key, 1);
+        }
+      });
+      function every(collection, predicate, guard) {
+        var func = isArray3(collection) ? arrayEvery : baseEvery;
+        if (guard && isIterateeCall(collection, predicate, guard)) {
+          predicate = undefined$1;
+        }
+        return func(collection, getIteratee(predicate, 3));
+      }
+      __name(every, "every");
+      function filter4(collection, predicate) {
+        var func = isArray3(collection) ? arrayFilter : baseFilter;
+        return func(collection, getIteratee(predicate, 3));
+      }
+      __name(filter4, "filter");
+      var find2 = createFind(findIndex);
+      var findLast2 = createFind(findLastIndex2);
+      function flatMap(collection, iteratee2) {
+        return baseFlatten(map2(collection, iteratee2), 1);
+      }
+      __name(flatMap, "flatMap");
+      function flatMapDeep(collection, iteratee2) {
+        return baseFlatten(map2(collection, iteratee2), INFINITY2);
+      }
+      __name(flatMapDeep, "flatMapDeep");
+      function flatMapDepth(collection, iteratee2, depth) {
+        depth = depth === undefined$1 ? 1 : toInteger(depth);
+        return baseFlatten(map2(collection, iteratee2), depth);
+      }
+      __name(flatMapDepth, "flatMapDepth");
+      function forEach2(collection, iteratee2) {
+        var func = isArray3(collection) ? arrayEach : baseEach;
+        return func(collection, getIteratee(iteratee2, 3));
+      }
+      __name(forEach2, "forEach");
+      function forEachRight(collection, iteratee2) {
+        var func = isArray3(collection) ? arrayEachRight : baseEachRight;
+        return func(collection, getIteratee(iteratee2, 3));
+      }
+      __name(forEachRight, "forEachRight");
+      var groupBy = createAggregator(function(result2, value3, key) {
+        if (hasOwnProperty2.call(result2, key)) {
+          result2[key].push(value3);
+        } else {
+          baseAssignValue(result2, key, [value3]);
+        }
+      });
+      function includes(collection, value3, fromIndex, guard) {
+        collection = isArrayLike(collection) ? collection : values2(collection);
+        fromIndex = fromIndex && !guard ? toInteger(fromIndex) : 0;
+        var length = collection.length;
+        if (fromIndex < 0) {
+          fromIndex = nativeMax(length + fromIndex, 0);
+        }
+        return isString3(collection) ? fromIndex <= length && collection.indexOf(value3, fromIndex) > -1 : !!length && baseIndexOf(collection, value3, fromIndex) > -1;
+      }
+      __name(includes, "includes");
+      var invokeMap = baseRest(function(collection, path, args) {
+        var index2 = -1, isFunc = typeof path == "function", result2 = isArrayLike(collection) ? Array2(collection.length) : [];
+        baseEach(collection, function(value3) {
+          result2[++index2] = isFunc ? apply2(path, value3, args) : baseInvoke(value3, path, args);
+        });
+        return result2;
+      });
+      var keyBy = createAggregator(function(result2, value3, key) {
+        baseAssignValue(result2, key, value3);
+      });
+      function map2(collection, iteratee2) {
+        var func = isArray3(collection) ? arrayMap : baseMap;
+        return func(collection, getIteratee(iteratee2, 3));
+      }
+      __name(map2, "map");
+      function orderBy(collection, iteratees, orders, guard) {
+        if (collection == null) {
+          return [];
+        }
+        if (!isArray3(iteratees)) {
+          iteratees = iteratees == null ? [] : [iteratees];
+        }
+        orders = guard ? undefined$1 : orders;
+        if (!isArray3(orders)) {
+          orders = orders == null ? [] : [orders];
+        }
+        return baseOrderBy(collection, iteratees, orders);
+      }
+      __name(orderBy, "orderBy");
+      var partition = createAggregator(function(result2, value3, key) {
+        result2[key ? 0 : 1].push(value3);
+      }, function() {
+        return [[], []];
+      });
+      function reduce(collection, iteratee2, accumulator) {
+        var func = isArray3(collection) ? arrayReduce : baseReduce, initAccum = arguments.length < 3;
+        return func(collection, getIteratee(iteratee2, 4), accumulator, initAccum, baseEach);
+      }
+      __name(reduce, "reduce");
+      function reduceRight(collection, iteratee2, accumulator) {
+        var func = isArray3(collection) ? arrayReduceRight : baseReduce, initAccum = arguments.length < 3;
+        return func(collection, getIteratee(iteratee2, 4), accumulator, initAccum, baseEachRight);
+      }
+      __name(reduceRight, "reduceRight");
+      function reject2(collection, predicate) {
+        var func = isArray3(collection) ? arrayFilter : baseFilter;
+        return func(collection, negate(getIteratee(predicate, 3)));
+      }
+      __name(reject2, "reject");
+      function sample(collection) {
+        var func = isArray3(collection) ? arraySample : baseSample;
+        return func(collection);
+      }
+      __name(sample, "sample");
+      function sampleSize(collection, n, guard) {
+        if (guard ? isIterateeCall(collection, n, guard) : n === undefined$1) {
+          n = 1;
+        } else {
+          n = toInteger(n);
+        }
+        var func = isArray3(collection) ? arraySampleSize : baseSampleSize;
+        return func(collection, n);
+      }
+      __name(sampleSize, "sampleSize");
+      function shuffle(collection) {
+        var func = isArray3(collection) ? arrayShuffle : baseShuffle;
+        return func(collection);
+      }
+      __name(shuffle, "shuffle");
+      function size2(collection) {
+        if (collection == null) {
+          return 0;
+        }
+        if (isArrayLike(collection)) {
+          return isString3(collection) ? stringSize(collection) : collection.length;
+        }
+        var tag = getTag2(collection);
+        if (tag == mapTag || tag == setTag) {
+          return collection.size;
+        }
+        return baseKeys(collection).length;
+      }
+      __name(size2, "size");
+      function some(collection, predicate, guard) {
+        var func = isArray3(collection) ? arraySome : baseSome;
+        if (guard && isIterateeCall(collection, predicate, guard)) {
+          predicate = undefined$1;
+        }
+        return func(collection, getIteratee(predicate, 3));
+      }
+      __name(some, "some");
+      var sortBy = baseRest(function(collection, iteratees) {
+        if (collection == null) {
+          return [];
+        }
+        var length = iteratees.length;
+        if (length > 1 && isIterateeCall(collection, iteratees[0], iteratees[1])) {
+          iteratees = [];
+        } else if (length > 2 && isIterateeCall(iteratees[0], iteratees[1], iteratees[2])) {
+          iteratees = [iteratees[0]];
+        }
+        return baseOrderBy(collection, baseFlatten(iteratees, 1), []);
+      });
+      var now2 = ctxNow || function() {
+        return root26.Date.now();
+      };
+      function after(n, func) {
+        if (typeof func != "function") {
+          throw new TypeError2(FUNC_ERROR_TEXT);
+        }
+        n = toInteger(n);
+        return function() {
+          if (--n < 1) {
+            return func.apply(this, arguments);
+          }
+        };
+      }
+      __name(after, "after");
+      function ary(func, n, guard) {
+        n = guard ? undefined$1 : n;
+        n = func && n == null ? func.length : n;
+        return createWrap(func, WRAP_ARY_FLAG, undefined$1, undefined$1, undefined$1, undefined$1, n);
+      }
+      __name(ary, "ary");
+      function before(n, func) {
+        var result2;
+        if (typeof func != "function") {
+          throw new TypeError2(FUNC_ERROR_TEXT);
+        }
+        n = toInteger(n);
+        return function() {
+          if (--n > 0) {
+            result2 = func.apply(this, arguments);
+          }
+          if (n <= 1) {
+            func = undefined$1;
+          }
+          return result2;
+        };
+      }
+      __name(before, "before");
+      var bind3 = baseRest(function(func, thisArg, partials) {
+        var bitmask = WRAP_BIND_FLAG;
+        if (partials.length) {
+          var holders = replaceHolders(partials, getHolder(bind3));
+          bitmask |= WRAP_PARTIAL_FLAG;
+        }
+        return createWrap(func, bitmask, thisArg, partials, holders);
+      });
+      var bindKey = baseRest(function(object, key, partials) {
+        var bitmask = WRAP_BIND_FLAG | WRAP_BIND_KEY_FLAG;
+        if (partials.length) {
+          var holders = replaceHolders(partials, getHolder(bindKey));
+          bitmask |= WRAP_PARTIAL_FLAG;
+        }
+        return createWrap(key, bitmask, object, partials, holders);
+      });
+      function curry(func, arity, guard) {
+        arity = guard ? undefined$1 : arity;
+        var result2 = createWrap(func, WRAP_CURRY_FLAG, undefined$1, undefined$1, undefined$1, undefined$1, undefined$1, arity);
+        result2.placeholder = curry.placeholder;
+        return result2;
+      }
+      __name(curry, "curry");
+      function curryRight(func, arity, guard) {
+        arity = guard ? undefined$1 : arity;
+        var result2 = createWrap(func, WRAP_CURRY_RIGHT_FLAG, undefined$1, undefined$1, undefined$1, undefined$1, undefined$1, arity);
+        result2.placeholder = curryRight.placeholder;
+        return result2;
+      }
+      __name(curryRight, "curryRight");
+      function debounce(func, wait, options3) {
+        var lastArgs, lastThis, maxWait, result2, timerId, lastCallTime, lastInvokeTime = 0, leading = false, maxing = false, trailing = true;
+        if (typeof func != "function") {
+          throw new TypeError2(FUNC_ERROR_TEXT);
+        }
+        wait = toNumber2(wait) || 0;
+        if (isObject3(options3)) {
+          leading = !!options3.leading;
+          maxing = "maxWait" in options3;
+          maxWait = maxing ? nativeMax(toNumber2(options3.maxWait) || 0, wait) : maxWait;
+          trailing = "trailing" in options3 ? !!options3.trailing : trailing;
+        }
+        function invokeFunc(time) {
+          var args = lastArgs, thisArg = lastThis;
+          lastArgs = lastThis = undefined$1;
+          lastInvokeTime = time;
+          result2 = func.apply(thisArg, args);
+          return result2;
+        }
+        __name(invokeFunc, "invokeFunc");
+        function leadingEdge(time) {
+          lastInvokeTime = time;
+          timerId = setTimeout2(timerExpired, wait);
+          return leading ? invokeFunc(time) : result2;
+        }
+        __name(leadingEdge, "leadingEdge");
+        function remainingWait(time) {
+          var timeSinceLastCall = time - lastCallTime, timeSinceLastInvoke = time - lastInvokeTime, timeWaiting = wait - timeSinceLastCall;
+          return maxing ? nativeMin(timeWaiting, maxWait - timeSinceLastInvoke) : timeWaiting;
+        }
+        __name(remainingWait, "remainingWait");
+        function shouldInvoke(time) {
+          var timeSinceLastCall = time - lastCallTime, timeSinceLastInvoke = time - lastInvokeTime;
+          return lastCallTime === undefined$1 || timeSinceLastCall >= wait || timeSinceLastCall < 0 || maxing && timeSinceLastInvoke >= maxWait;
+        }
+        __name(shouldInvoke, "shouldInvoke");
+        function timerExpired() {
+          var time = now2();
+          if (shouldInvoke(time)) {
+            return trailingEdge(time);
+          }
+          timerId = setTimeout2(timerExpired, remainingWait(time));
+        }
+        __name(timerExpired, "timerExpired");
+        function trailingEdge(time) {
+          timerId = undefined$1;
+          if (trailing && lastArgs) {
+            return invokeFunc(time);
+          }
+          lastArgs = lastThis = undefined$1;
+          return result2;
+        }
+        __name(trailingEdge, "trailingEdge");
+        function cancel() {
+          if (timerId !== undefined$1) {
+            clearTimeout2(timerId);
+          }
+          lastInvokeTime = 0;
+          lastArgs = lastCallTime = lastThis = timerId = undefined$1;
+        }
+        __name(cancel, "cancel");
+        function flush() {
+          return timerId === undefined$1 ? result2 : trailingEdge(now2());
+        }
+        __name(flush, "flush");
+        function debounced() {
+          var time = now2(), isInvoking = shouldInvoke(time);
+          lastArgs = arguments;
+          lastThis = this;
+          lastCallTime = time;
+          if (isInvoking) {
+            if (timerId === undefined$1) {
+              return leadingEdge(lastCallTime);
+            }
+            if (maxing) {
+              clearTimeout2(timerId);
+              timerId = setTimeout2(timerExpired, wait);
+              return invokeFunc(lastCallTime);
+            }
+          }
+          if (timerId === undefined$1) {
+            timerId = setTimeout2(timerExpired, wait);
+          }
+          return result2;
+        }
+        __name(debounced, "debounced");
+        debounced.cancel = cancel;
+        debounced.flush = flush;
+        return debounced;
+      }
+      __name(debounce, "debounce");
+      var defer = baseRest(function(func, args) {
+        return baseDelay(func, 1, args);
+      });
+      var delay = baseRest(function(func, wait, args) {
+        return baseDelay(func, toNumber2(wait) || 0, args);
+      });
+      function flip(func) {
+        return createWrap(func, WRAP_FLIP_FLAG);
+      }
+      __name(flip, "flip");
+      function memoize(func, resolver) {
+        if (typeof func != "function" || resolver != null && typeof resolver != "function") {
+          throw new TypeError2(FUNC_ERROR_TEXT);
+        }
+        var memoized = /* @__PURE__ */ __name(function() {
+          var args = arguments, key = resolver ? resolver.apply(this, args) : args[0], cache2 = memoized.cache;
+          if (cache2.has(key)) {
+            return cache2.get(key);
+          }
+          var result2 = func.apply(this, args);
+          memoized.cache = cache2.set(key, result2) || cache2;
+          return result2;
+        }, "memoized");
+        memoized.cache = new (memoize.Cache || MapCache)();
+        return memoized;
+      }
+      __name(memoize, "memoize");
+      memoize.Cache = MapCache;
+      function negate(predicate) {
+        if (typeof predicate != "function") {
+          throw new TypeError2(FUNC_ERROR_TEXT);
+        }
+        return function() {
+          var args = arguments;
+          switch (args.length) {
+            case 0:
+              return !predicate.call(this);
+            case 1:
+              return !predicate.call(this, args[0]);
+            case 2:
+              return !predicate.call(this, args[0], args[1]);
+            case 3:
+              return !predicate.call(this, args[0], args[1], args[2]);
+          }
+          return !predicate.apply(this, args);
+        };
+      }
+      __name(negate, "negate");
+      function once2(func) {
+        return before(2, func);
+      }
+      __name(once2, "once");
+      var overArgs = castRest(function(func, transforms) {
+        transforms = transforms.length == 1 && isArray3(transforms[0]) ? arrayMap(transforms[0], baseUnary(getIteratee())) : arrayMap(baseFlatten(transforms, 1), baseUnary(getIteratee()));
+        var funcsLength = transforms.length;
+        return baseRest(function(args) {
+          var index2 = -1, length = nativeMin(args.length, funcsLength);
+          while (++index2 < length) {
+            args[index2] = transforms[index2].call(this, args[index2]);
+          }
+          return apply2(func, this, args);
+        });
+      });
+      var partial = baseRest(function(func, partials) {
+        var holders = replaceHolders(partials, getHolder(partial));
+        return createWrap(func, WRAP_PARTIAL_FLAG, undefined$1, partials, holders);
+      });
+      var partialRight = baseRest(function(func, partials) {
+        var holders = replaceHolders(partials, getHolder(partialRight));
+        return createWrap(func, WRAP_PARTIAL_RIGHT_FLAG, undefined$1, partials, holders);
+      });
+      var rearg = flatRest(function(func, indexes) {
+        return createWrap(func, WRAP_REARG_FLAG, undefined$1, undefined$1, undefined$1, indexes);
+      });
+      function rest(func, start2) {
+        if (typeof func != "function") {
+          throw new TypeError2(FUNC_ERROR_TEXT);
+        }
+        start2 = start2 === undefined$1 ? start2 : toInteger(start2);
+        return baseRest(func, start2);
+      }
+      __name(rest, "rest");
+      function spread2(func, start2) {
+        if (typeof func != "function") {
+          throw new TypeError2(FUNC_ERROR_TEXT);
+        }
+        start2 = start2 == null ? 0 : nativeMax(toInteger(start2), 0);
+        return baseRest(function(args) {
+          var array = args[start2], otherArgs = castSlice(args, 0, start2);
+          if (array) {
+            arrayPush(otherArgs, array);
+          }
+          return apply2(func, this, otherArgs);
+        });
+      }
+      __name(spread2, "spread");
+      function throttle2(func, wait, options3) {
+        var leading = true, trailing = true;
+        if (typeof func != "function") {
+          throw new TypeError2(FUNC_ERROR_TEXT);
+        }
+        if (isObject3(options3)) {
+          leading = "leading" in options3 ? !!options3.leading : leading;
+          trailing = "trailing" in options3 ? !!options3.trailing : trailing;
+        }
+        return debounce(func, wait, {
+          "leading": leading,
+          "maxWait": wait,
+          "trailing": trailing
+        });
+      }
+      __name(throttle2, "throttle");
+      function unary(func) {
+        return ary(func, 1);
+      }
+      __name(unary, "unary");
+      function wrap(value3, wrapper) {
+        return partial(castFunction(wrapper), value3);
+      }
+      __name(wrap, "wrap");
+      function castArray() {
+        if (!arguments.length) {
+          return [];
+        }
+        var value3 = arguments[0];
+        return isArray3(value3) ? value3 : [value3];
+      }
+      __name(castArray, "castArray");
+      function clone2(value3) {
+        return baseClone(value3, CLONE_SYMBOLS_FLAG);
+      }
+      __name(clone2, "clone");
+      function cloneWith(value3, customizer) {
+        customizer = typeof customizer == "function" ? customizer : undefined$1;
+        return baseClone(value3, CLONE_SYMBOLS_FLAG, customizer);
+      }
+      __name(cloneWith, "cloneWith");
+      function cloneDeep(value3) {
+        return baseClone(value3, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG);
+      }
+      __name(cloneDeep, "cloneDeep");
+      function cloneDeepWith(value3, customizer) {
+        customizer = typeof customizer == "function" ? customizer : undefined$1;
+        return baseClone(value3, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG, customizer);
+      }
+      __name(cloneDeepWith, "cloneDeepWith");
+      function conformsTo(object, source) {
+        return source == null || baseConformsTo(object, source, keys2(source));
+      }
+      __name(conformsTo, "conformsTo");
+      function eq(value3, other) {
+        return value3 === other || value3 !== value3 && other !== other;
+      }
+      __name(eq, "eq");
+      var gt2 = createRelationalOperation(baseGt);
+      var gte2 = createRelationalOperation(function(value3, other) {
+        return value3 >= other;
+      });
+      var isArguments = baseIsArguments(/* @__PURE__ */ function() {
+        return arguments;
+      }()) ? baseIsArguments : function(value3) {
+        return isObjectLike2(value3) && hasOwnProperty2.call(value3, "callee") && !propertyIsEnumerable.call(value3, "callee");
+      };
+      var isArray3 = Array2.isArray;
+      var isArrayBuffer2 = nodeIsArrayBuffer ? baseUnary(nodeIsArrayBuffer) : baseIsArrayBuffer;
+      function isArrayLike(value3) {
+        return value3 != null && isLength(value3.length) && !isFunction3(value3);
+      }
+      __name(isArrayLike, "isArrayLike");
+      function isArrayLikeObject(value3) {
+        return isObjectLike2(value3) && isArrayLike(value3);
+      }
+      __name(isArrayLikeObject, "isArrayLikeObject");
+      function isBoolean2(value3) {
+        return value3 === true || value3 === false || isObjectLike2(value3) && baseGetTag(value3) == boolTag;
+      }
+      __name(isBoolean2, "isBoolean");
+      var isBuffer2 = nativeIsBuffer || stubFalse;
+      var isDate2 = nodeIsDate ? baseUnary(nodeIsDate) : baseIsDate;
+      function isElement2(value3) {
+        return isObjectLike2(value3) && value3.nodeType === 1 && !isPlainObject2(value3);
+      }
+      __name(isElement2, "isElement");
+      function isEmpty3(value3) {
+        if (value3 == null) {
+          return true;
+        }
+        if (isArrayLike(value3) && (isArray3(value3) || typeof value3 == "string" || typeof value3.splice == "function" || isBuffer2(value3) || isTypedArray2(value3) || isArguments(value3))) {
+          return !value3.length;
+        }
+        var tag = getTag2(value3);
+        if (tag == mapTag || tag == setTag) {
+          return !value3.size;
+        }
+        if (isPrototype(value3)) {
+          return !baseKeys(value3).length;
+        }
+        for (var key in value3) {
+          if (hasOwnProperty2.call(value3, key)) {
+            return false;
+          }
+        }
+        return true;
+      }
+      __name(isEmpty3, "isEmpty");
+      function isEqual(value3, other) {
+        return baseIsEqual(value3, other);
+      }
+      __name(isEqual, "isEqual");
+      function isEqualWith(value3, other, customizer) {
+        customizer = typeof customizer == "function" ? customizer : undefined$1;
+        var result2 = customizer ? customizer(value3, other) : undefined$1;
+        return result2 === undefined$1 ? baseIsEqual(value3, other, undefined$1, customizer) : !!result2;
+      }
+      __name(isEqualWith, "isEqualWith");
+      function isError(value3) {
+        if (!isObjectLike2(value3)) {
+          return false;
+        }
+        var tag = baseGetTag(value3);
+        return tag == errorTag || tag == domExcTag || typeof value3.message == "string" && typeof value3.name == "string" && !isPlainObject2(value3);
+      }
+      __name(isError, "isError");
+      function isFinite2(value3) {
+        return typeof value3 == "number" && nativeIsFinite(value3);
+      }
+      __name(isFinite2, "isFinite");
+      function isFunction3(value3) {
+        if (!isObject3(value3)) {
+          return false;
+        }
+        var tag = baseGetTag(value3);
+        return tag == funcTag || tag == genTag || tag == asyncTag || tag == proxyTag;
+      }
+      __name(isFunction3, "isFunction");
+      function isInteger(value3) {
+        return typeof value3 == "number" && value3 == toInteger(value3);
+      }
+      __name(isInteger, "isInteger");
+      function isLength(value3) {
+        return typeof value3 == "number" && value3 > -1 && value3 % 1 == 0 && value3 <= MAX_SAFE_INTEGER;
+      }
+      __name(isLength, "isLength");
+      function isObject3(value3) {
+        var type = typeof value3;
+        return value3 != null && (type == "object" || type == "function");
+      }
+      __name(isObject3, "isObject");
+      function isObjectLike2(value3) {
+        return value3 != null && typeof value3 == "object";
+      }
+      __name(isObjectLike2, "isObjectLike");
+      var isMap2 = nodeIsMap ? baseUnary(nodeIsMap) : baseIsMap;
+      function isMatch(object, source) {
+        return object === source || baseIsMatch(object, source, getMatchData(source));
+      }
+      __name(isMatch, "isMatch");
+      function isMatchWith(object, source, customizer) {
+        customizer = typeof customizer == "function" ? customizer : undefined$1;
+        return baseIsMatch(object, source, getMatchData(source), customizer);
+      }
+      __name(isMatchWith, "isMatchWith");
+      function isNaN2(value3) {
+        return isNumber3(value3) && value3 != +value3;
+      }
+      __name(isNaN2, "isNaN");
+      function isNative(value3) {
+        if (isMaskable(value3)) {
+          throw new Error2(CORE_ERROR_TEXT);
+        }
+        return baseIsNative(value3);
+      }
+      __name(isNative, "isNative");
+      function isNull(value3) {
+        return value3 === null;
+      }
+      __name(isNull, "isNull");
+      function isNil(value3) {
+        return value3 == null;
+      }
+      __name(isNil, "isNil");
+      function isNumber3(value3) {
+        return typeof value3 == "number" || isObjectLike2(value3) && baseGetTag(value3) == numberTag;
+      }
+      __name(isNumber3, "isNumber");
+      function isPlainObject2(value3) {
+        if (!isObjectLike2(value3) || baseGetTag(value3) != objectTag) {
+          return false;
+        }
+        var proto = getPrototype(value3);
+        if (proto === null) {
+          return true;
+        }
+        var Ctor = hasOwnProperty2.call(proto, "constructor") && proto.constructor;
+        return typeof Ctor == "function" && Ctor instanceof Ctor && funcToString.call(Ctor) == objectCtorString;
+      }
+      __name(isPlainObject2, "isPlainObject");
+      var isRegExp2 = nodeIsRegExp ? baseUnary(nodeIsRegExp) : baseIsRegExp;
+      function isSafeInteger(value3) {
+        return isInteger(value3) && value3 >= -MAX_SAFE_INTEGER && value3 <= MAX_SAFE_INTEGER;
+      }
+      __name(isSafeInteger, "isSafeInteger");
+      var isSet2 = nodeIsSet ? baseUnary(nodeIsSet) : baseIsSet;
+      function isString3(value3) {
+        return typeof value3 == "string" || !isArray3(value3) && isObjectLike2(value3) && baseGetTag(value3) == stringTag;
+      }
+      __name(isString3, "isString");
+      function isSymbol2(value3) {
+        return typeof value3 == "symbol" || isObjectLike2(value3) && baseGetTag(value3) == symbolTag;
+      }
+      __name(isSymbol2, "isSymbol");
+      var isTypedArray2 = nodeIsTypedArray ? baseUnary(nodeIsTypedArray) : baseIsTypedArray;
+      function isUndefined2(value3) {
+        return value3 === undefined$1;
+      }
+      __name(isUndefined2, "isUndefined");
+      function isWeakMap(value3) {
+        return isObjectLike2(value3) && getTag2(value3) == weakMapTag;
+      }
+      __name(isWeakMap, "isWeakMap");
+      function isWeakSet(value3) {
+        return isObjectLike2(value3) && baseGetTag(value3) == weakSetTag;
+      }
+      __name(isWeakSet, "isWeakSet");
+      var lt2 = createRelationalOperation(baseLt);
+      var lte2 = createRelationalOperation(function(value3, other) {
+        return value3 <= other;
+      });
+      function toArray2(value3) {
+        if (!value3) {
+          return [];
+        }
+        if (isArrayLike(value3)) {
+          return isString3(value3) ? stringToArray(value3) : copyArray(value3);
+        }
+        if (symIterator && value3[symIterator]) {
+          return iteratorToArray(value3[symIterator]());
+        }
+        var tag = getTag2(value3), func = tag == mapTag ? mapToArray : tag == setTag ? setToArray : values2;
+        return func(value3);
+      }
+      __name(toArray2, "toArray");
+      function toFinite(value3) {
+        if (!value3) {
+          return value3 === 0 ? value3 : 0;
+        }
+        value3 = toNumber2(value3);
+        if (value3 === INFINITY2 || value3 === -INFINITY2) {
+          var sign = value3 < 0 ? -1 : 1;
+          return sign * MAX_INTEGER;
+        }
+        return value3 === value3 ? value3 : 0;
+      }
+      __name(toFinite, "toFinite");
+      function toInteger(value3) {
+        var result2 = toFinite(value3), remainder = result2 % 1;
+        return result2 === result2 ? remainder ? result2 - remainder : result2 : 0;
+      }
+      __name(toInteger, "toInteger");
+      function toLength(value3) {
+        return value3 ? baseClamp(toInteger(value3), 0, MAX_ARRAY_LENGTH) : 0;
+      }
+      __name(toLength, "toLength");
+      function toNumber2(value3) {
+        if (typeof value3 == "number") {
+          return value3;
+        }
+        if (isSymbol2(value3)) {
+          return NAN;
+        }
+        if (isObject3(value3)) {
+          var other = typeof value3.valueOf == "function" ? value3.valueOf() : value3;
+          value3 = isObject3(other) ? other + "" : other;
+        }
+        if (typeof value3 != "string") {
+          return value3 === 0 ? value3 : +value3;
+        }
+        value3 = baseTrim(value3);
+        var isBinary = reIsBinary.test(value3);
+        return isBinary || reIsOctal.test(value3) ? freeParseInt(value3.slice(2), isBinary ? 2 : 8) : reIsBadHex.test(value3) ? NAN : +value3;
+      }
+      __name(toNumber2, "toNumber");
+      function toPlainObject(value3) {
+        return copyObject(value3, keysIn(value3));
+      }
+      __name(toPlainObject, "toPlainObject");
+      function toSafeInteger(value3) {
+        return value3 ? baseClamp(toInteger(value3), -MAX_SAFE_INTEGER, MAX_SAFE_INTEGER) : value3 === 0 ? value3 : 0;
+      }
+      __name(toSafeInteger, "toSafeInteger");
+      function toString3(value3) {
+        return value3 == null ? "" : baseToString2(value3);
+      }
+      __name(toString3, "toString");
+      var assign2 = createAssigner(function(object, source) {
+        if (isPrototype(source) || isArrayLike(source)) {
+          copyObject(source, keys2(source), object);
+          return;
+        }
+        for (var key in source) {
+          if (hasOwnProperty2.call(source, key)) {
+            assignValue(object, key, source[key]);
+          }
+        }
+      });
+      var assignIn = createAssigner(function(object, source) {
+        copyObject(source, keysIn(source), object);
+      });
+      var assignInWith = createAssigner(function(object, source, srcIndex, customizer) {
+        copyObject(source, keysIn(source), object, customizer);
+      });
+      var assignWith = createAssigner(function(object, source, srcIndex, customizer) {
+        copyObject(source, keys2(source), object, customizer);
+      });
+      var at = flatRest(baseAt);
+      function create2(prototype2, properties) {
+        var result2 = baseCreate(prototype2);
+        return properties == null ? result2 : baseAssign(result2, properties);
+      }
+      __name(create2, "create");
+      var defaults2 = baseRest(function(object, sources) {
+        object = Object2(object);
+        var index2 = -1;
+        var length = sources.length;
+        var guard = length > 2 ? sources[2] : undefined$1;
+        if (guard && isIterateeCall(sources[0], sources[1], guard)) {
+          length = 1;
+        }
+        while (++index2 < length) {
+          var source = sources[index2];
+          var props = keysIn(source);
+          var propsIndex = -1;
+          var propsLength = props.length;
+          while (++propsIndex < propsLength) {
+            var key = props[propsIndex];
+            var value3 = object[key];
+            if (value3 === undefined$1 || eq(value3, objectProto[key]) && !hasOwnProperty2.call(object, key)) {
+              object[key] = source[key];
+            }
+          }
+        }
+        return object;
+      });
+      var defaultsDeep = baseRest(function(args) {
+        args.push(undefined$1, customDefaultsMerge);
+        return apply2(mergeWith, undefined$1, args);
+      });
+      function findKey2(object, predicate) {
+        return baseFindKey(object, getIteratee(predicate, 3), baseForOwn);
+      }
+      __name(findKey2, "findKey");
+      function findLastKey(object, predicate) {
+        return baseFindKey(object, getIteratee(predicate, 3), baseForOwnRight);
+      }
+      __name(findLastKey, "findLastKey");
+      function forIn(object, iteratee2) {
+        return object == null ? object : baseFor(object, getIteratee(iteratee2, 3), keysIn);
+      }
+      __name(forIn, "forIn");
+      function forInRight(object, iteratee2) {
+        return object == null ? object : baseForRight(object, getIteratee(iteratee2, 3), keysIn);
+      }
+      __name(forInRight, "forInRight");
+      function forOwn(object, iteratee2) {
+        return object && baseForOwn(object, getIteratee(iteratee2, 3));
+      }
+      __name(forOwn, "forOwn");
+      function forOwnRight(object, iteratee2) {
+        return object && baseForOwnRight(object, getIteratee(iteratee2, 3));
+      }
+      __name(forOwnRight, "forOwnRight");
+      function functions(object) {
+        return object == null ? [] : baseFunctions(object, keys2(object));
+      }
+      __name(functions, "functions");
+      function functionsIn(object) {
+        return object == null ? [] : baseFunctions(object, keysIn(object));
+      }
+      __name(functionsIn, "functionsIn");
+      function get2(object, path, defaultValue) {
+        var result2 = object == null ? undefined$1 : baseGet(object, path);
+        return result2 === undefined$1 ? defaultValue : result2;
+      }
+      __name(get2, "get");
+      function has2(object, path) {
+        return object != null && hasPath(object, path, baseHas);
+      }
+      __name(has2, "has");
+      function hasIn(object, path) {
+        return object != null && hasPath(object, path, baseHasIn);
+      }
+      __name(hasIn, "hasIn");
+      var invert = createInverter(function(result2, value3, key) {
+        if (value3 != null && typeof value3.toString != "function") {
+          value3 = nativeObjectToString.call(value3);
+        }
+        result2[value3] = key;
+      }, constant(identity2));
+      var invertBy = createInverter(function(result2, value3, key) {
+        if (value3 != null && typeof value3.toString != "function") {
+          value3 = nativeObjectToString.call(value3);
+        }
+        if (hasOwnProperty2.call(result2, value3)) {
+          result2[value3].push(key);
+        } else {
+          result2[value3] = [key];
+        }
+      }, getIteratee);
+      var invoke2 = baseRest(baseInvoke);
+      function keys2(object) {
+        return isArrayLike(object) ? arrayLikeKeys(object) : baseKeys(object);
+      }
+      __name(keys2, "keys");
+      function keysIn(object) {
+        return isArrayLike(object) ? arrayLikeKeys(object, true) : baseKeysIn(object);
+      }
+      __name(keysIn, "keysIn");
+      function mapKeys(object, iteratee2) {
+        var result2 = {};
+        iteratee2 = getIteratee(iteratee2, 3);
+        baseForOwn(object, function(value3, key, object2) {
+          baseAssignValue(result2, iteratee2(value3, key, object2), value3);
+        });
+        return result2;
+      }
+      __name(mapKeys, "mapKeys");
+      function mapValues(object, iteratee2) {
+        var result2 = {};
+        iteratee2 = getIteratee(iteratee2, 3);
+        baseForOwn(object, function(value3, key, object2) {
+          baseAssignValue(result2, key, iteratee2(value3, key, object2));
+        });
+        return result2;
+      }
+      __name(mapValues, "mapValues");
+      var merge3 = createAssigner(function(object, source, srcIndex) {
+        baseMerge(object, source, srcIndex);
+      });
+      var mergeWith = createAssigner(function(object, source, srcIndex, customizer) {
+        baseMerge(object, source, srcIndex, customizer);
+      });
+      var omit = flatRest(function(object, paths) {
+        var result2 = {};
+        if (object == null) {
+          return result2;
+        }
+        var isDeep = false;
+        paths = arrayMap(paths, function(path) {
+          path = castPath(path, object);
+          isDeep || (isDeep = path.length > 1);
+          return path;
+        });
+        copyObject(object, getAllKeysIn(object), result2);
+        if (isDeep) {
+          result2 = baseClone(result2, CLONE_DEEP_FLAG | CLONE_FLAT_FLAG | CLONE_SYMBOLS_FLAG, customOmitClone);
+        }
+        var length = paths.length;
+        while (length--) {
+          baseUnset(result2, paths[length]);
+        }
+        return result2;
+      });
+      function omitBy(object, predicate) {
+        return pickBy(object, negate(getIteratee(predicate)));
+      }
+      __name(omitBy, "omitBy");
+      var pick = flatRest(function(object, paths) {
+        return object == null ? {} : basePick(object, paths);
+      });
+      function pickBy(object, predicate) {
+        if (object == null) {
+          return {};
+        }
+        var props = arrayMap(getAllKeysIn(object), function(prop2) {
+          return [prop2];
+        });
+        predicate = getIteratee(predicate);
+        return basePickBy(object, props, function(value3, path) {
+          return predicate(value3, path[0]);
+        });
+      }
+      __name(pickBy, "pickBy");
+      function result(object, path, defaultValue) {
+        path = castPath(path, object);
+        var index2 = -1, length = path.length;
+        if (!length) {
+          length = 1;
+          object = undefined$1;
+        }
+        while (++index2 < length) {
+          var value3 = object == null ? undefined$1 : object[toKey(path[index2])];
+          if (value3 === undefined$1) {
+            index2 = length;
+            value3 = defaultValue;
+          }
+          object = isFunction3(value3) ? value3.call(object) : value3;
+        }
+        return object;
+      }
+      __name(result, "result");
+      function set2(object, path, value3) {
+        return object == null ? object : baseSet(object, path, value3);
+      }
+      __name(set2, "set");
+      function setWith(object, path, value3, customizer) {
+        customizer = typeof customizer == "function" ? customizer : undefined$1;
+        return object == null ? object : baseSet(object, path, value3, customizer);
+      }
+      __name(setWith, "setWith");
+      var toPairs = createToPairs(keys2);
+      var toPairsIn = createToPairs(keysIn);
+      function transform2(object, iteratee2, accumulator) {
+        var isArr = isArray3(object), isArrLike = isArr || isBuffer2(object) || isTypedArray2(object);
+        iteratee2 = getIteratee(iteratee2, 4);
+        if (accumulator == null) {
+          var Ctor = object && object.constructor;
+          if (isArrLike) {
+            accumulator = isArr ? new Ctor() : [];
+          } else if (isObject3(object)) {
+            accumulator = isFunction3(Ctor) ? baseCreate(getPrototype(object)) : {};
+          } else {
+            accumulator = {};
+          }
+        }
+        (isArrLike ? arrayEach : baseForOwn)(object, function(value3, index2, object2) {
+          return iteratee2(accumulator, value3, index2, object2);
+        });
+        return accumulator;
+      }
+      __name(transform2, "transform");
+      function unset(object, path) {
+        return object == null ? true : baseUnset(object, path);
+      }
+      __name(unset, "unset");
+      function update2(object, path, updater) {
+        return object == null ? object : baseUpdate(object, path, castFunction(updater));
+      }
+      __name(update2, "update");
+      function updateWith(object, path, updater, customizer) {
+        customizer = typeof customizer == "function" ? customizer : undefined$1;
+        return object == null ? object : baseUpdate(object, path, castFunction(updater), customizer);
+      }
+      __name(updateWith, "updateWith");
+      function values2(object) {
+        return object == null ? [] : baseValues(object, keys2(object));
+      }
+      __name(values2, "values");
+      function valuesIn(object) {
+        return object == null ? [] : baseValues(object, keysIn(object));
+      }
+      __name(valuesIn, "valuesIn");
+      function clamp2(number2, lower, upper) {
+        if (upper === undefined$1) {
+          upper = lower;
+          lower = undefined$1;
+        }
+        if (upper !== undefined$1) {
+          upper = toNumber2(upper);
+          upper = upper === upper ? upper : 0;
+        }
+        if (lower !== undefined$1) {
+          lower = toNumber2(lower);
+          lower = lower === lower ? lower : 0;
+        }
+        return baseClamp(toNumber2(number2), lower, upper);
+      }
+      __name(clamp2, "clamp");
+      function inRange(number2, start2, end) {
+        start2 = toFinite(start2);
+        if (end === undefined$1) {
+          end = start2;
+          start2 = 0;
+        } else {
+          end = toFinite(end);
+        }
+        number2 = toNumber2(number2);
+        return baseInRange(number2, start2, end);
+      }
+      __name(inRange, "inRange");
+      function random(lower, upper, floating) {
+        if (floating && typeof floating != "boolean" && isIterateeCall(lower, upper, floating)) {
+          upper = floating = undefined$1;
+        }
+        if (floating === undefined$1) {
+          if (typeof upper == "boolean") {
+            floating = upper;
+            upper = undefined$1;
+          } else if (typeof lower == "boolean") {
+            floating = lower;
+            lower = undefined$1;
+          }
+        }
+        if (lower === undefined$1 && upper === undefined$1) {
+          lower = 0;
+          upper = 1;
+        } else {
+          lower = toFinite(lower);
+          if (upper === undefined$1) {
+            upper = lower;
+            lower = 0;
+          } else {
+            upper = toFinite(upper);
+          }
+        }
+        if (lower > upper) {
+          var temp = lower;
+          lower = upper;
+          upper = temp;
+        }
+        if (floating || lower % 1 || upper % 1) {
+          var rand2 = nativeRandom();
+          return nativeMin(lower + rand2 * (upper - lower + freeParseFloat("1e-" + ((rand2 + "").length - 1))), upper);
+        }
+        return baseRandom(lower, upper);
+      }
+      __name(random, "random");
+      var camelCase = createCompounder(function(result2, word, index2) {
+        word = word.toLowerCase();
+        return result2 + (index2 ? capitalize2(word) : word);
+      });
+      function capitalize2(string) {
+        return upperFirst(toString3(string).toLowerCase());
+      }
+      __name(capitalize2, "capitalize");
+      function deburr(string) {
+        string = toString3(string);
+        return string && string.replace(reLatin, deburrLetter).replace(reComboMark, "");
+      }
+      __name(deburr, "deburr");
+      function endsWith3(string, target, position2) {
+        string = toString3(string);
+        target = baseToString2(target);
+        var length = string.length;
+        position2 = position2 === undefined$1 ? length : baseClamp(toInteger(position2), 0, length);
+        var end = position2;
+        position2 -= target.length;
+        return position2 >= 0 && string.slice(position2, end) == target;
+      }
+      __name(endsWith3, "endsWith");
+      function escape2(string) {
+        string = toString3(string);
+        return string && reHasUnescapedHtml.test(string) ? string.replace(reUnescapedHtml, escapeHtmlChar) : string;
+      }
+      __name(escape2, "escape");
+      function escapeRegExp2(string) {
+        string = toString3(string);
+        return string && reHasRegExpChar.test(string) ? string.replace(reRegExpChar, "\\$&") : string;
+      }
+      __name(escapeRegExp2, "escapeRegExp");
+      var kebabCase = createCompounder(function(result2, word, index2) {
+        return result2 + (index2 ? "-" : "") + word.toLowerCase();
+      });
+      var lowerCase = createCompounder(function(result2, word, index2) {
+        return result2 + (index2 ? " " : "") + word.toLowerCase();
+      });
+      var lowerFirst = createCaseFirst("toLowerCase");
+      function pad(string, length, chars) {
+        string = toString3(string);
+        length = toInteger(length);
+        var strLength = length ? stringSize(string) : 0;
+        if (!length || strLength >= length) {
+          return string;
+        }
+        var mid = (length - strLength) / 2;
+        return createPadding(nativeFloor(mid), chars) + string + createPadding(nativeCeil(mid), chars);
+      }
+      __name(pad, "pad");
+      function padEnd(string, length, chars) {
+        string = toString3(string);
+        length = toInteger(length);
+        var strLength = length ? stringSize(string) : 0;
+        return length && strLength < length ? string + createPadding(length - strLength, chars) : string;
+      }
+      __name(padEnd, "padEnd");
+      function padStart(string, length, chars) {
+        string = toString3(string);
+        length = toInteger(length);
+        var strLength = length ? stringSize(string) : 0;
+        return length && strLength < length ? createPadding(length - strLength, chars) + string : string;
+      }
+      __name(padStart, "padStart");
+      function parseInt2(string, radix, guard) {
+        if (guard || radix == null) {
+          radix = 0;
+        } else if (radix) {
+          radix = +radix;
+        }
+        return nativeParseInt(toString3(string).replace(reTrimStart, ""), radix || 0);
+      }
+      __name(parseInt2, "parseInt");
+      function repeat4(string, n, guard) {
+        if (guard ? isIterateeCall(string, n, guard) : n === undefined$1) {
+          n = 1;
+        } else {
+          n = toInteger(n);
+        }
+        return baseRepeat(toString3(string), n);
+      }
+      __name(repeat4, "repeat");
+      function replace() {
+        var args = arguments, string = toString3(args[0]);
+        return args.length < 3 ? string : string.replace(args[1], args[2]);
+      }
+      __name(replace, "replace");
+      var snakeCase = createCompounder(function(result2, word, index2) {
+        return result2 + (index2 ? "_" : "") + word.toLowerCase();
+      });
+      function split(string, separator, limit) {
+        if (limit && typeof limit != "number" && isIterateeCall(string, separator, limit)) {
+          separator = limit = undefined$1;
+        }
+        limit = limit === undefined$1 ? MAX_ARRAY_LENGTH : limit >>> 0;
+        if (!limit) {
+          return [];
+        }
+        string = toString3(string);
+        if (string && (typeof separator == "string" || separator != null && !isRegExp2(separator))) {
+          separator = baseToString2(separator);
+          if (!separator && hasUnicode(string)) {
+            return castSlice(stringToArray(string), 0, limit);
+          }
+        }
+        return string.split(separator, limit);
+      }
+      __name(split, "split");
+      var startCase = createCompounder(function(result2, word, index2) {
+        return result2 + (index2 ? " " : "") + upperFirst(word);
+      });
+      function startsWith2(string, target, position2) {
+        string = toString3(string);
+        position2 = position2 == null ? 0 : baseClamp(toInteger(position2), 0, string.length);
+        target = baseToString2(target);
+        return string.slice(position2, position2 + target.length) == target;
+      }
+      __name(startsWith2, "startsWith");
+      function template(string, options3, guard) {
+        var settings = lodash2.templateSettings;
+        if (guard && isIterateeCall(string, options3, guard)) {
+          options3 = undefined$1;
+        }
+        string = toString3(string);
+        options3 = assignInWith({}, options3, settings, customDefaultsAssignIn);
+        var imports = assignInWith({}, options3.imports, settings.imports, customDefaultsAssignIn), importsKeys = keys2(imports), importsValues = baseValues(imports, importsKeys);
+        var isEscaping, isEvaluating, index2 = 0, interpolate = options3.interpolate || reNoMatch, source = "__p += '";
+        var reDelimiters = RegExp2(
+          (options3.escape || reNoMatch).source + "|" + interpolate.source + "|" + (interpolate === reInterpolate ? reEsTemplate : reNoMatch).source + "|" + (options3.evaluate || reNoMatch).source + "|$",
+          "g"
+        );
+        var sourceURL = "//# sourceURL=" + (hasOwnProperty2.call(options3, "sourceURL") ? (options3.sourceURL + "").replace(/\s/g, " ") : "lodash.templateSources[" + ++templateCounter + "]") + "\n";
+        string.replace(reDelimiters, function(match, escapeValue, interpolateValue, esTemplateValue, evaluateValue, offset) {
+          interpolateValue || (interpolateValue = esTemplateValue);
+          source += string.slice(index2, offset).replace(reUnescapedString, escapeStringChar);
+          if (escapeValue) {
+            isEscaping = true;
+            source += "' +\n__e(" + escapeValue + ") +\n'";
+          }
+          if (evaluateValue) {
+            isEvaluating = true;
+            source += "';\n" + evaluateValue + ";\n__p += '";
+          }
+          if (interpolateValue) {
+            source += "' +\n((__t = (" + interpolateValue + ")) == null ? '' : __t) +\n'";
+          }
+          index2 = offset + match.length;
+          return match;
+        });
+        source += "';\n";
+        var variable = hasOwnProperty2.call(options3, "variable") && options3.variable;
+        if (!variable) {
+          source = "with (obj) {\n" + source + "\n}\n";
+        } else if (reForbiddenIdentifierChars.test(variable)) {
+          throw new Error2(INVALID_TEMPL_VAR_ERROR_TEXT);
+        }
+        source = (isEvaluating ? source.replace(reEmptyStringLeading, "") : source).replace(reEmptyStringMiddle, "$1").replace(reEmptyStringTrailing, "$1;");
+        source = "function(" + (variable || "obj") + ") {\n" + (variable ? "" : "obj || (obj = {});\n") + "var __t, __p = ''" + (isEscaping ? ", __e = _.escape" : "") + (isEvaluating ? ", __j = Array.prototype.join;\nfunction print() { __p += __j.call(arguments, '') }\n" : ";\n") + source + "return __p\n}";
+        var result2 = attempt(function() {
+          return Function2(importsKeys, sourceURL + "return " + source).apply(undefined$1, importsValues);
+        });
+        result2.source = source;
+        if (isError(result2)) {
+          throw result2;
+        }
+        return result2;
+      }
+      __name(template, "template");
+      function toLower(value3) {
+        return toString3(value3).toLowerCase();
+      }
+      __name(toLower, "toLower");
+      function toUpper(value3) {
+        return toString3(value3).toUpperCase();
+      }
+      __name(toUpper, "toUpper");
+      function trim2(string, chars, guard) {
+        string = toString3(string);
+        if (string && (guard || chars === undefined$1)) {
+          return baseTrim(string);
+        }
+        if (!string || !(chars = baseToString2(chars))) {
+          return string;
+        }
+        var strSymbols = stringToArray(string), chrSymbols = stringToArray(chars), start2 = charsStartIndex(strSymbols, chrSymbols), end = charsEndIndex(strSymbols, chrSymbols) + 1;
+        return castSlice(strSymbols, start2, end).join("");
+      }
+      __name(trim2, "trim");
+      function trimEnd(string, chars, guard) {
+        string = toString3(string);
+        if (string && (guard || chars === undefined$1)) {
+          return string.slice(0, trimmedEndIndex(string) + 1);
+        }
+        if (!string || !(chars = baseToString2(chars))) {
+          return string;
+        }
+        var strSymbols = stringToArray(string), end = charsEndIndex(strSymbols, stringToArray(chars)) + 1;
+        return castSlice(strSymbols, 0, end).join("");
+      }
+      __name(trimEnd, "trimEnd");
+      function trimStart(string, chars, guard) {
+        string = toString3(string);
+        if (string && (guard || chars === undefined$1)) {
+          return string.replace(reTrimStart, "");
+        }
+        if (!string || !(chars = baseToString2(chars))) {
+          return string;
+        }
+        var strSymbols = stringToArray(string), start2 = charsStartIndex(strSymbols, stringToArray(chars));
+        return castSlice(strSymbols, start2).join("");
+      }
+      __name(trimStart, "trimStart");
+      function truncate(string, options3) {
+        var length = DEFAULT_TRUNC_LENGTH, omission = DEFAULT_TRUNC_OMISSION;
+        if (isObject3(options3)) {
+          var separator = "separator" in options3 ? options3.separator : separator;
+          length = "length" in options3 ? toInteger(options3.length) : length;
+          omission = "omission" in options3 ? baseToString2(options3.omission) : omission;
+        }
+        string = toString3(string);
+        var strLength = string.length;
+        if (hasUnicode(string)) {
+          var strSymbols = stringToArray(string);
+          strLength = strSymbols.length;
+        }
+        if (length >= strLength) {
+          return string;
+        }
+        var end = length - stringSize(omission);
+        if (end < 1) {
+          return omission;
+        }
+        var result2 = strSymbols ? castSlice(strSymbols, 0, end).join("") : string.slice(0, end);
+        if (separator === undefined$1) {
+          return result2 + omission;
+        }
+        if (strSymbols) {
+          end += result2.length - end;
+        }
+        if (isRegExp2(separator)) {
+          if (string.slice(end).search(separator)) {
+            var match, substring = result2;
+            if (!separator.global) {
+              separator = RegExp2(separator.source, toString3(reFlags.exec(separator)) + "g");
+            }
+            separator.lastIndex = 0;
+            while (match = separator.exec(substring)) {
+              var newEnd = match.index;
+            }
+            result2 = result2.slice(0, newEnd === undefined$1 ? end : newEnd);
+          }
+        } else if (string.indexOf(baseToString2(separator), end) != end) {
+          var index2 = result2.lastIndexOf(separator);
+          if (index2 > -1) {
+            result2 = result2.slice(0, index2);
+          }
+        }
+        return result2 + omission;
+      }
+      __name(truncate, "truncate");
+      function unescape2(string) {
+        string = toString3(string);
+        return string && reHasEscapedHtml.test(string) ? string.replace(reEscapedHtml, unescapeHtmlChar) : string;
+      }
+      __name(unescape2, "unescape");
+      var upperCase = createCompounder(function(result2, word, index2) {
+        return result2 + (index2 ? " " : "") + word.toUpperCase();
+      });
+      var upperFirst = createCaseFirst("toUpperCase");
+      function words(string, pattern, guard) {
+        string = toString3(string);
+        pattern = guard ? undefined$1 : pattern;
+        if (pattern === undefined$1) {
+          return hasUnicodeWord(string) ? unicodeWords(string) : asciiWords(string);
+        }
+        return string.match(pattern) || [];
+      }
+      __name(words, "words");
+      var attempt = baseRest(function(func, args) {
+        try {
+          return apply2(func, undefined$1, args);
+        } catch (e) {
+          return isError(e) ? e : new Error2(e);
+        }
+      });
+      var bindAll2 = flatRest(function(object, methodNames) {
+        arrayEach(methodNames, function(key) {
+          key = toKey(key);
+          baseAssignValue(object, key, bind3(object[key], object));
+        });
+        return object;
+      });
+      function cond(pairs) {
+        var length = pairs == null ? 0 : pairs.length, toIteratee = getIteratee();
+        pairs = !length ? [] : arrayMap(pairs, function(pair) {
+          if (typeof pair[1] != "function") {
+            throw new TypeError2(FUNC_ERROR_TEXT);
+          }
+          return [toIteratee(pair[0]), pair[1]];
+        });
+        return baseRest(function(args) {
+          var index2 = -1;
+          while (++index2 < length) {
+            var pair = pairs[index2];
+            if (apply2(pair[0], this, args)) {
+              return apply2(pair[1], this, args);
+            }
+          }
+        });
+      }
+      __name(cond, "cond");
+      function conforms(source) {
+        return baseConforms(baseClone(source, CLONE_DEEP_FLAG));
+      }
+      __name(conforms, "conforms");
+      function constant(value3) {
+        return function() {
+          return value3;
+        };
+      }
+      __name(constant, "constant");
+      function defaultTo(value3, defaultValue) {
+        return value3 == null || value3 !== value3 ? defaultValue : value3;
+      }
+      __name(defaultTo, "defaultTo");
+      var flow = createFlow();
+      var flowRight = createFlow(true);
+      function identity2(value3) {
+        return value3;
+      }
+      __name(identity2, "identity");
+      function iteratee(func) {
+        return baseIteratee(typeof func == "function" ? func : baseClone(func, CLONE_DEEP_FLAG));
+      }
+      __name(iteratee, "iteratee");
+      function matches2(source) {
+        return baseMatches(baseClone(source, CLONE_DEEP_FLAG));
+      }
+      __name(matches2, "matches");
+      function matchesProperty(path, srcValue) {
+        return baseMatchesProperty(path, baseClone(srcValue, CLONE_DEEP_FLAG));
+      }
+      __name(matchesProperty, "matchesProperty");
+      var method = baseRest(function(path, args) {
+        return function(object) {
+          return baseInvoke(object, path, args);
+        };
+      });
+      var methodOf = baseRest(function(object, args) {
+        return function(path) {
+          return baseInvoke(object, path, args);
+        };
+      });
+      function mixin(object, source, options3) {
+        var props = keys2(source), methodNames = baseFunctions(source, props);
+        if (options3 == null && !(isObject3(source) && (methodNames.length || !props.length))) {
+          options3 = source;
+          source = object;
+          object = this;
+          methodNames = baseFunctions(source, keys2(source));
+        }
+        var chain2 = !(isObject3(options3) && "chain" in options3) || !!options3.chain, isFunc = isFunction3(object);
+        arrayEach(methodNames, function(methodName) {
+          var func = source[methodName];
+          object[methodName] = func;
+          if (isFunc) {
+            object.prototype[methodName] = function() {
+              var chainAll = this.__chain__;
+              if (chain2 || chainAll) {
+                var result2 = object(this.__wrapped__), actions = result2.__actions__ = copyArray(this.__actions__);
+                actions.push({ "func": func, "args": arguments, "thisArg": object });
+                result2.__chain__ = chainAll;
+                return result2;
+              }
+              return func.apply(object, arrayPush([this.value()], arguments));
+            };
+          }
+        });
+        return object;
+      }
+      __name(mixin, "mixin");
+      function noConflict() {
+        if (root26._ === this) {
+          root26._ = oldDash;
+        }
+        return this;
+      }
+      __name(noConflict, "noConflict");
+      function noop2() {
+      }
+      __name(noop2, "noop");
+      function nthArg(n) {
+        n = toInteger(n);
+        return baseRest(function(args) {
+          return baseNth(args, n);
+        });
+      }
+      __name(nthArg, "nthArg");
+      var over = createOver(arrayMap);
+      var overEvery = createOver(arrayEvery);
+      var overSome = createOver(arraySome);
+      function property(path) {
+        return isKey(path) ? baseProperty(toKey(path)) : basePropertyDeep(path);
+      }
+      __name(property, "property");
+      function propertyOf(object) {
+        return function(path) {
+          return object == null ? undefined$1 : baseGet(object, path);
+        };
+      }
+      __name(propertyOf, "propertyOf");
+      var range2 = createRange();
+      var rangeRight = createRange(true);
+      function stubArray() {
+        return [];
+      }
+      __name(stubArray, "stubArray");
+      function stubFalse() {
+        return false;
+      }
+      __name(stubFalse, "stubFalse");
+      function stubObject() {
+        return {};
+      }
+      __name(stubObject, "stubObject");
+      function stubString() {
+        return "";
+      }
+      __name(stubString, "stubString");
+      function stubTrue() {
+        return true;
+      }
+      __name(stubTrue, "stubTrue");
+      function times(n, iteratee2) {
+        n = toInteger(n);
+        if (n < 1 || n > MAX_SAFE_INTEGER) {
+          return [];
+        }
+        var index2 = MAX_ARRAY_LENGTH, length = nativeMin(n, MAX_ARRAY_LENGTH);
+        iteratee2 = getIteratee(iteratee2);
+        n -= MAX_ARRAY_LENGTH;
+        var result2 = baseTimes(length, iteratee2);
+        while (++index2 < n) {
+          iteratee2(index2);
+        }
+        return result2;
+      }
+      __name(times, "times");
+      function toPath(value3) {
+        if (isArray3(value3)) {
+          return arrayMap(value3, toKey);
+        }
+        return isSymbol2(value3) ? [value3] : copyArray(stringToPath(toString3(value3)));
+      }
+      __name(toPath, "toPath");
+      function uniqueId(prefix2) {
+        var id2 = ++idCounter;
+        return toString3(prefix2) + id2;
+      }
+      __name(uniqueId, "uniqueId");
+      var add3 = createMathOperation(function(augend, addend) {
+        return augend + addend;
+      }, 0);
+      var ceil = createRound("ceil");
+      var divide = createMathOperation(function(dividend, divisor) {
+        return dividend / divisor;
+      }, 1);
+      var floor = createRound("floor");
+      function max(array) {
+        return array && array.length ? baseExtremum(array, identity2, baseGt) : undefined$1;
+      }
+      __name(max, "max");
+      function maxBy(array, iteratee2) {
+        return array && array.length ? baseExtremum(array, getIteratee(iteratee2, 2), baseGt) : undefined$1;
+      }
+      __name(maxBy, "maxBy");
+      function mean(array) {
+        return baseMean(array, identity2);
+      }
+      __name(mean, "mean");
+      function meanBy(array, iteratee2) {
+        return baseMean(array, getIteratee(iteratee2, 2));
+      }
+      __name(meanBy, "meanBy");
+      function min(array) {
+        return array && array.length ? baseExtremum(array, identity2, baseLt) : undefined$1;
+      }
+      __name(min, "min");
+      function minBy(array, iteratee2) {
+        return array && array.length ? baseExtremum(array, getIteratee(iteratee2, 2), baseLt) : undefined$1;
+      }
+      __name(minBy, "minBy");
+      var multiply = createMathOperation(function(multiplier, multiplicand) {
+        return multiplier * multiplicand;
+      }, 1);
+      var round = createRound("round");
+      var subtract = createMathOperation(function(minuend, subtrahend) {
+        return minuend - subtrahend;
+      }, 0);
+      function sum(array) {
+        return array && array.length ? baseSum(array, identity2) : 0;
+      }
+      __name(sum, "sum");
+      function sumBy(array, iteratee2) {
+        return array && array.length ? baseSum(array, getIteratee(iteratee2, 2)) : 0;
+      }
+      __name(sumBy, "sumBy");
+      lodash2.after = after;
+      lodash2.ary = ary;
+      lodash2.assign = assign2;
+      lodash2.assignIn = assignIn;
+      lodash2.assignInWith = assignInWith;
+      lodash2.assignWith = assignWith;
+      lodash2.at = at;
+      lodash2.before = before;
+      lodash2.bind = bind3;
+      lodash2.bindAll = bindAll2;
+      lodash2.bindKey = bindKey;
+      lodash2.castArray = castArray;
+      lodash2.chain = chain;
+      lodash2.chunk = chunk;
+      lodash2.compact = compact;
+      lodash2.concat = concat;
+      lodash2.cond = cond;
+      lodash2.conforms = conforms;
+      lodash2.constant = constant;
+      lodash2.countBy = countBy;
+      lodash2.create = create2;
+      lodash2.curry = curry;
+      lodash2.curryRight = curryRight;
+      lodash2.debounce = debounce;
+      lodash2.defaults = defaults2;
+      lodash2.defaultsDeep = defaultsDeep;
+      lodash2.defer = defer;
+      lodash2.delay = delay;
+      lodash2.difference = difference;
+      lodash2.differenceBy = differenceBy;
+      lodash2.differenceWith = differenceWith;
+      lodash2.drop = drop;
+      lodash2.dropRight = dropRight;
+      lodash2.dropRightWhile = dropRightWhile;
+      lodash2.dropWhile = dropWhile;
+      lodash2.fill = fill;
+      lodash2.filter = filter4;
+      lodash2.flatMap = flatMap;
+      lodash2.flatMapDeep = flatMapDeep;
+      lodash2.flatMapDepth = flatMapDepth;
+      lodash2.flatten = flatten;
+      lodash2.flattenDeep = flattenDeep;
+      lodash2.flattenDepth = flattenDepth;
+      lodash2.flip = flip;
+      lodash2.flow = flow;
+      lodash2.flowRight = flowRight;
+      lodash2.fromPairs = fromPairs;
+      lodash2.functions = functions;
+      lodash2.functionsIn = functionsIn;
+      lodash2.groupBy = groupBy;
+      lodash2.initial = initial;
+      lodash2.intersection = intersection;
+      lodash2.intersectionBy = intersectionBy;
+      lodash2.intersectionWith = intersectionWith;
+      lodash2.invert = invert;
+      lodash2.invertBy = invertBy;
+      lodash2.invokeMap = invokeMap;
+      lodash2.iteratee = iteratee;
+      lodash2.keyBy = keyBy;
+      lodash2.keys = keys2;
+      lodash2.keysIn = keysIn;
+      lodash2.map = map2;
+      lodash2.mapKeys = mapKeys;
+      lodash2.mapValues = mapValues;
+      lodash2.matches = matches2;
+      lodash2.matchesProperty = matchesProperty;
+      lodash2.memoize = memoize;
+      lodash2.merge = merge3;
+      lodash2.mergeWith = mergeWith;
+      lodash2.method = method;
+      lodash2.methodOf = methodOf;
+      lodash2.mixin = mixin;
+      lodash2.negate = negate;
+      lodash2.nthArg = nthArg;
+      lodash2.omit = omit;
+      lodash2.omitBy = omitBy;
+      lodash2.once = once2;
+      lodash2.orderBy = orderBy;
+      lodash2.over = over;
+      lodash2.overArgs = overArgs;
+      lodash2.overEvery = overEvery;
+      lodash2.overSome = overSome;
+      lodash2.partial = partial;
+      lodash2.partialRight = partialRight;
+      lodash2.partition = partition;
+      lodash2.pick = pick;
+      lodash2.pickBy = pickBy;
+      lodash2.property = property;
+      lodash2.propertyOf = propertyOf;
+      lodash2.pull = pull;
+      lodash2.pullAll = pullAll;
+      lodash2.pullAllBy = pullAllBy;
+      lodash2.pullAllWith = pullAllWith;
+      lodash2.pullAt = pullAt;
+      lodash2.range = range2;
+      lodash2.rangeRight = rangeRight;
+      lodash2.rearg = rearg;
+      lodash2.reject = reject2;
+      lodash2.remove = remove5;
+      lodash2.rest = rest;
+      lodash2.reverse = reverse;
+      lodash2.sampleSize = sampleSize;
+      lodash2.set = set2;
+      lodash2.setWith = setWith;
+      lodash2.shuffle = shuffle;
+      lodash2.slice = slice;
+      lodash2.sortBy = sortBy;
+      lodash2.sortedUniq = sortedUniq;
+      lodash2.sortedUniqBy = sortedUniqBy;
+      lodash2.split = split;
+      lodash2.spread = spread2;
+      lodash2.tail = tail;
+      lodash2.take = take;
+      lodash2.takeRight = takeRight;
+      lodash2.takeRightWhile = takeRightWhile;
+      lodash2.takeWhile = takeWhile;
+      lodash2.tap = tap;
+      lodash2.throttle = throttle2;
+      lodash2.thru = thru;
+      lodash2.toArray = toArray2;
+      lodash2.toPairs = toPairs;
+      lodash2.toPairsIn = toPairsIn;
+      lodash2.toPath = toPath;
+      lodash2.toPlainObject = toPlainObject;
+      lodash2.transform = transform2;
+      lodash2.unary = unary;
+      lodash2.union = union;
+      lodash2.unionBy = unionBy;
+      lodash2.unionWith = unionWith;
+      lodash2.uniq = uniq2;
+      lodash2.uniqBy = uniqBy;
+      lodash2.uniqWith = uniqWith;
+      lodash2.unset = unset;
+      lodash2.unzip = unzip;
+      lodash2.unzipWith = unzipWith;
+      lodash2.update = update2;
+      lodash2.updateWith = updateWith;
+      lodash2.values = values2;
+      lodash2.valuesIn = valuesIn;
+      lodash2.without = without;
+      lodash2.words = words;
+      lodash2.wrap = wrap;
+      lodash2.xor = xor;
+      lodash2.xorBy = xorBy;
+      lodash2.xorWith = xorWith;
+      lodash2.zip = zip;
+      lodash2.zipObject = zipObject;
+      lodash2.zipObjectDeep = zipObjectDeep;
+      lodash2.zipWith = zipWith;
+      lodash2.entries = toPairs;
+      lodash2.entriesIn = toPairsIn;
+      lodash2.extend = assignIn;
+      lodash2.extendWith = assignInWith;
+      mixin(lodash2, lodash2);
+      lodash2.add = add3;
+      lodash2.attempt = attempt;
+      lodash2.camelCase = camelCase;
+      lodash2.capitalize = capitalize2;
+      lodash2.ceil = ceil;
+      lodash2.clamp = clamp2;
+      lodash2.clone = clone2;
+      lodash2.cloneDeep = cloneDeep;
+      lodash2.cloneDeepWith = cloneDeepWith;
+      lodash2.cloneWith = cloneWith;
+      lodash2.conformsTo = conformsTo;
+      lodash2.deburr = deburr;
+      lodash2.defaultTo = defaultTo;
+      lodash2.divide = divide;
+      lodash2.endsWith = endsWith3;
+      lodash2.eq = eq;
+      lodash2.escape = escape2;
+      lodash2.escapeRegExp = escapeRegExp2;
+      lodash2.every = every;
+      lodash2.find = find2;
+      lodash2.findIndex = findIndex;
+      lodash2.findKey = findKey2;
+      lodash2.findLast = findLast2;
+      lodash2.findLastIndex = findLastIndex2;
+      lodash2.findLastKey = findLastKey;
+      lodash2.floor = floor;
+      lodash2.forEach = forEach2;
+      lodash2.forEachRight = forEachRight;
+      lodash2.forIn = forIn;
+      lodash2.forInRight = forInRight;
+      lodash2.forOwn = forOwn;
+      lodash2.forOwnRight = forOwnRight;
+      lodash2.get = get2;
+      lodash2.gt = gt2;
+      lodash2.gte = gte2;
+      lodash2.has = has2;
+      lodash2.hasIn = hasIn;
+      lodash2.head = head;
+      lodash2.identity = identity2;
+      lodash2.includes = includes;
+      lodash2.indexOf = indexOf;
+      lodash2.inRange = inRange;
+      lodash2.invoke = invoke2;
+      lodash2.isArguments = isArguments;
+      lodash2.isArray = isArray3;
+      lodash2.isArrayBuffer = isArrayBuffer2;
+      lodash2.isArrayLike = isArrayLike;
+      lodash2.isArrayLikeObject = isArrayLikeObject;
+      lodash2.isBoolean = isBoolean2;
+      lodash2.isBuffer = isBuffer2;
+      lodash2.isDate = isDate2;
+      lodash2.isElement = isElement2;
+      lodash2.isEmpty = isEmpty3;
+      lodash2.isEqual = isEqual;
+      lodash2.isEqualWith = isEqualWith;
+      lodash2.isError = isError;
+      lodash2.isFinite = isFinite2;
+      lodash2.isFunction = isFunction3;
+      lodash2.isInteger = isInteger;
+      lodash2.isLength = isLength;
+      lodash2.isMap = isMap2;
+      lodash2.isMatch = isMatch;
+      lodash2.isMatchWith = isMatchWith;
+      lodash2.isNaN = isNaN2;
+      lodash2.isNative = isNative;
+      lodash2.isNil = isNil;
+      lodash2.isNull = isNull;
+      lodash2.isNumber = isNumber3;
+      lodash2.isObject = isObject3;
+      lodash2.isObjectLike = isObjectLike2;
+      lodash2.isPlainObject = isPlainObject2;
+      lodash2.isRegExp = isRegExp2;
+      lodash2.isSafeInteger = isSafeInteger;
+      lodash2.isSet = isSet2;
+      lodash2.isString = isString3;
+      lodash2.isSymbol = isSymbol2;
+      lodash2.isTypedArray = isTypedArray2;
+      lodash2.isUndefined = isUndefined2;
+      lodash2.isWeakMap = isWeakMap;
+      lodash2.isWeakSet = isWeakSet;
+      lodash2.join = join2;
+      lodash2.kebabCase = kebabCase;
+      lodash2.last = last;
+      lodash2.lastIndexOf = lastIndexOf;
+      lodash2.lowerCase = lowerCase;
+      lodash2.lowerFirst = lowerFirst;
+      lodash2.lt = lt2;
+      lodash2.lte = lte2;
+      lodash2.max = max;
+      lodash2.maxBy = maxBy;
+      lodash2.mean = mean;
+      lodash2.meanBy = meanBy;
+      lodash2.min = min;
+      lodash2.minBy = minBy;
+      lodash2.stubArray = stubArray;
+      lodash2.stubFalse = stubFalse;
+      lodash2.stubObject = stubObject;
+      lodash2.stubString = stubString;
+      lodash2.stubTrue = stubTrue;
+      lodash2.multiply = multiply;
+      lodash2.nth = nth;
+      lodash2.noConflict = noConflict;
+      lodash2.noop = noop2;
+      lodash2.now = now2;
+      lodash2.pad = pad;
+      lodash2.padEnd = padEnd;
+      lodash2.padStart = padStart;
+      lodash2.parseInt = parseInt2;
+      lodash2.random = random;
+      lodash2.reduce = reduce;
+      lodash2.reduceRight = reduceRight;
+      lodash2.repeat = repeat4;
+      lodash2.replace = replace;
+      lodash2.result = result;
+      lodash2.round = round;
+      lodash2.runInContext = runInContext2;
+      lodash2.sample = sample;
+      lodash2.size = size2;
+      lodash2.snakeCase = snakeCase;
+      lodash2.some = some;
+      lodash2.sortedIndex = sortedIndex;
+      lodash2.sortedIndexBy = sortedIndexBy;
+      lodash2.sortedIndexOf = sortedIndexOf;
+      lodash2.sortedLastIndex = sortedLastIndex;
+      lodash2.sortedLastIndexBy = sortedLastIndexBy;
+      lodash2.sortedLastIndexOf = sortedLastIndexOf;
+      lodash2.startCase = startCase;
+      lodash2.startsWith = startsWith2;
+      lodash2.subtract = subtract;
+      lodash2.sum = sum;
+      lodash2.sumBy = sumBy;
+      lodash2.template = template;
+      lodash2.times = times;
+      lodash2.toFinite = toFinite;
+      lodash2.toInteger = toInteger;
+      lodash2.toLength = toLength;
+      lodash2.toLower = toLower;
+      lodash2.toNumber = toNumber2;
+      lodash2.toSafeInteger = toSafeInteger;
+      lodash2.toString = toString3;
+      lodash2.toUpper = toUpper;
+      lodash2.trim = trim2;
+      lodash2.trimEnd = trimEnd;
+      lodash2.trimStart = trimStart;
+      lodash2.truncate = truncate;
+      lodash2.unescape = unescape2;
+      lodash2.uniqueId = uniqueId;
+      lodash2.upperCase = upperCase;
+      lodash2.upperFirst = upperFirst;
+      lodash2.each = forEach2;
+      lodash2.eachRight = forEachRight;
+      lodash2.first = head;
+      mixin(lodash2, function() {
+        var source = {};
+        baseForOwn(lodash2, function(func, methodName) {
+          if (!hasOwnProperty2.call(lodash2.prototype, methodName)) {
+            source[methodName] = func;
+          }
+        });
+        return source;
+      }(), { "chain": false });
+      lodash2.VERSION = VERSION2;
+      arrayEach(["bind", "bindKey", "curry", "curryRight", "partial", "partialRight"], function(methodName) {
+        lodash2[methodName].placeholder = lodash2;
+      });
+      arrayEach(["drop", "take"], function(methodName, index2) {
+        LazyWrapper.prototype[methodName] = function(n) {
+          n = n === undefined$1 ? 1 : nativeMax(toInteger(n), 0);
+          var result2 = this.__filtered__ && !index2 ? new LazyWrapper(this) : this.clone();
+          if (result2.__filtered__) {
+            result2.__takeCount__ = nativeMin(n, result2.__takeCount__);
+          } else {
+            result2.__views__.push({
+              "size": nativeMin(n, MAX_ARRAY_LENGTH),
+              "type": methodName + (result2.__dir__ < 0 ? "Right" : "")
+            });
+          }
+          return result2;
+        };
+        LazyWrapper.prototype[methodName + "Right"] = function(n) {
+          return this.reverse()[methodName](n).reverse();
+        };
+      });
+      arrayEach(["filter", "map", "takeWhile"], function(methodName, index2) {
+        var type = index2 + 1, isFilter = type == LAZY_FILTER_FLAG || type == LAZY_WHILE_FLAG;
+        LazyWrapper.prototype[methodName] = function(iteratee2) {
+          var result2 = this.clone();
+          result2.__iteratees__.push({
+            "iteratee": getIteratee(iteratee2, 3),
+            "type": type
+          });
+          result2.__filtered__ = result2.__filtered__ || isFilter;
+          return result2;
+        };
+      });
+      arrayEach(["head", "last"], function(methodName, index2) {
+        var takeName = "take" + (index2 ? "Right" : "");
+        LazyWrapper.prototype[methodName] = function() {
+          return this[takeName](1).value()[0];
+        };
+      });
+      arrayEach(["initial", "tail"], function(methodName, index2) {
+        var dropName = "drop" + (index2 ? "" : "Right");
+        LazyWrapper.prototype[methodName] = function() {
+          return this.__filtered__ ? new LazyWrapper(this) : this[dropName](1);
+        };
+      });
+      LazyWrapper.prototype.compact = function() {
+        return this.filter(identity2);
+      };
+      LazyWrapper.prototype.find = function(predicate) {
+        return this.filter(predicate).head();
+      };
+      LazyWrapper.prototype.findLast = function(predicate) {
+        return this.reverse().find(predicate);
+      };
+      LazyWrapper.prototype.invokeMap = baseRest(function(path, args) {
+        if (typeof path == "function") {
+          return new LazyWrapper(this);
+        }
+        return this.map(function(value3) {
+          return baseInvoke(value3, path, args);
+        });
+      });
+      LazyWrapper.prototype.reject = function(predicate) {
+        return this.filter(negate(getIteratee(predicate)));
+      };
+      LazyWrapper.prototype.slice = function(start2, end) {
+        start2 = toInteger(start2);
+        var result2 = this;
+        if (result2.__filtered__ && (start2 > 0 || end < 0)) {
+          return new LazyWrapper(result2);
+        }
+        if (start2 < 0) {
+          result2 = result2.takeRight(-start2);
+        } else if (start2) {
+          result2 = result2.drop(start2);
+        }
+        if (end !== undefined$1) {
+          end = toInteger(end);
+          result2 = end < 0 ? result2.dropRight(-end) : result2.take(end - start2);
+        }
+        return result2;
+      };
+      LazyWrapper.prototype.takeRightWhile = function(predicate) {
+        return this.reverse().takeWhile(predicate).reverse();
+      };
+      LazyWrapper.prototype.toArray = function() {
+        return this.take(MAX_ARRAY_LENGTH);
+      };
+      baseForOwn(LazyWrapper.prototype, function(func, methodName) {
+        var checkIteratee = /^(?:filter|find|map|reject)|While$/.test(methodName), isTaker = /^(?:head|last)$/.test(methodName), lodashFunc = lodash2[isTaker ? "take" + (methodName == "last" ? "Right" : "") : methodName], retUnwrapped = isTaker || /^find/.test(methodName);
+        if (!lodashFunc) {
+          return;
+        }
+        lodash2.prototype[methodName] = function() {
+          var value3 = this.__wrapped__, args = isTaker ? [1] : arguments, isLazy = value3 instanceof LazyWrapper, iteratee2 = args[0], useLazy = isLazy || isArray3(value3);
+          var interceptor = /* @__PURE__ */ __name(function(value4) {
+            var result3 = lodashFunc.apply(lodash2, arrayPush([value4], args));
+            return isTaker && chainAll ? result3[0] : result3;
+          }, "interceptor");
+          if (useLazy && checkIteratee && typeof iteratee2 == "function" && iteratee2.length != 1) {
+            isLazy = useLazy = false;
+          }
+          var chainAll = this.__chain__, isHybrid = !!this.__actions__.length, isUnwrapped = retUnwrapped && !chainAll, onlyLazy = isLazy && !isHybrid;
+          if (!retUnwrapped && useLazy) {
+            value3 = onlyLazy ? value3 : new LazyWrapper(this);
+            var result2 = func.apply(value3, args);
+            result2.__actions__.push({ "func": thru, "args": [interceptor], "thisArg": undefined$1 });
+            return new LodashWrapper(result2, chainAll);
+          }
+          if (isUnwrapped && onlyLazy) {
+            return func.apply(this, args);
+          }
+          result2 = this.thru(interceptor);
+          return isUnwrapped ? isTaker ? result2.value()[0] : result2.value() : result2;
+        };
+      });
+      arrayEach(["pop", "push", "shift", "sort", "splice", "unshift"], function(methodName) {
+        var func = arrayProto[methodName], chainName = /^(?:push|sort|unshift)$/.test(methodName) ? "tap" : "thru", retUnwrapped = /^(?:pop|shift)$/.test(methodName);
+        lodash2.prototype[methodName] = function() {
+          var args = arguments;
+          if (retUnwrapped && !this.__chain__) {
+            var value3 = this.value();
+            return func.apply(isArray3(value3) ? value3 : [], args);
+          }
+          return this[chainName](function(value4) {
+            return func.apply(isArray3(value4) ? value4 : [], args);
+          });
+        };
+      });
+      baseForOwn(LazyWrapper.prototype, function(func, methodName) {
+        var lodashFunc = lodash2[methodName];
+        if (lodashFunc) {
+          var key = lodashFunc.name + "";
+          if (!hasOwnProperty2.call(realNames, key)) {
+            realNames[key] = [];
+          }
+          realNames[key].push({ "name": methodName, "func": lodashFunc });
+        }
+      });
+      realNames[createHybrid(undefined$1, WRAP_BIND_KEY_FLAG).name] = [{
+        "name": "wrapper",
+        "func": undefined$1
+      }];
+      LazyWrapper.prototype.clone = lazyClone;
+      LazyWrapper.prototype.reverse = lazyReverse;
+      LazyWrapper.prototype.value = lazyValue;
+      lodash2.prototype.at = wrapperAt;
+      lodash2.prototype.chain = wrapperChain;
+      lodash2.prototype.commit = wrapperCommit;
+      lodash2.prototype.next = wrapperNext;
+      lodash2.prototype.plant = wrapperPlant;
+      lodash2.prototype.reverse = wrapperReverse;
+      lodash2.prototype.toJSON = lodash2.prototype.valueOf = lodash2.prototype.value = wrapperValue;
+      lodash2.prototype.first = lodash2.prototype.head;
+      if (symIterator) {
+        lodash2.prototype[symIterator] = wrapperToIterator;
+      }
+      return lodash2;
+    }, "runInContext");
+    var _2 = runInContext();
+    if (typeof undefined$1 == "function" && typeof undefined$1.amd == "object" && undefined$1.amd) {
+      root26._ = _2;
+      undefined$1(function() {
+        return _2;
+      });
+    } else if (freeModule) {
+      (freeModule.exports = _2)._ = _2;
+      freeExports._ = _2;
+    } else {
+      root26._ = _2;
+    }
+  }).call(commonjsGlobal);
+})(lodash$1, lodash$1.exports);
+var lodashExports = lodash$1.exports;
+const _ = /* @__PURE__ */ getDefaultExportFromCjs(lodashExports);
+var script$u = {
+  name: "TimesCircleIcon",
+  "extends": script$U
+};
+var _hoisted_1$J = /* @__PURE__ */ createBaseVNode("path", {
+  "fill-rule": "evenodd",
+  "clip-rule": "evenodd",
+  d: "M7 14C5.61553 14 4.26215 13.5895 3.11101 12.8203C1.95987 12.0511 1.06266 10.9579 0.532846 9.67879C0.00303296 8.3997 -0.13559 6.99224 0.134506 5.63437C0.404603 4.2765 1.07129 3.02922 2.05026 2.05026C3.02922 1.07129 4.2765 0.404603 5.63437 0.134506C6.99224 -0.13559 8.3997 0.00303296 9.67879 0.532846C10.9579 1.06266 12.0511 1.95987 12.8203 3.11101C13.5895 4.26215 14 5.61553 14 7C14 8.85652 13.2625 10.637 11.9497 11.9497C10.637 13.2625 8.85652 14 7 14ZM7 1.16667C5.84628 1.16667 4.71846 1.50879 3.75918 2.14976C2.79989 2.79074 2.05222 3.70178 1.61071 4.76768C1.16919 5.83358 1.05367 7.00647 1.27876 8.13803C1.50384 9.26958 2.05941 10.309 2.87521 11.1248C3.69102 11.9406 4.73042 12.4962 5.86198 12.7212C6.99353 12.9463 8.16642 12.8308 9.23232 12.3893C10.2982 11.9478 11.2093 11.2001 11.8502 10.2408C12.4912 9.28154 12.8333 8.15373 12.8333 7C12.8333 5.45291 12.2188 3.96918 11.1248 2.87521C10.0308 1.78125 8.5471 1.16667 7 1.16667ZM4.66662 9.91668C4.58998 9.91704 4.51404 9.90209 4.44325 9.87271C4.37246 9.84333 4.30826 9.8001 4.2544 9.74557C4.14516 9.6362 4.0838 9.48793 4.0838 9.33335C4.0838 9.17876 4.14516 9.0305 4.2544 8.92113L6.17553 7L4.25443 5.07891C4.15139 4.96832 4.09529 4.82207 4.09796 4.67094C4.10063 4.51982 4.16185 4.37563 4.26872 4.26876C4.3756 4.16188 4.51979 4.10066 4.67091 4.09799C4.82204 4.09532 4.96829 4.15142 5.07887 4.25446L6.99997 6.17556L8.92106 4.25446C9.03164 4.15142 9.1779 4.09532 9.32903 4.09799C9.48015 4.10066 9.62434 4.16188 9.73121 4.26876C9.83809 4.37563 9.89931 4.51982 9.90198 4.67094C9.90464 4.82207 9.84855 4.96832 9.74551 5.07891L7.82441 7L9.74554 8.92113C9.85478 9.0305 9.91614 9.17876 9.91614 9.33335C9.91614 9.48793 9.85478 9.6362 9.74554 9.74557C9.69168 9.8001 9.62748 9.84333 9.55669 9.87271C9.4859 9.90209 9.40996 9.91704 9.33332 9.91668C9.25668 9.91704 9.18073 9.90209 9.10995 9.87271C9.03916 9.84333 8.97495 9.8001 8.9211 9.74557L6.99997 7.82444L5.07884 9.74557C5.02499 9.8001 4.96078 9.84333 4.88999 9.87271C4.81921 9.90209 4.74326 9.91704 4.66662 9.91668Z",
+  fill: "currentColor"
+}, null, -1);
+var _hoisted_2$x = [_hoisted_1$J];
+function render$t(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("svg", mergeProps({
+    width: "14",
+    height: "14",
+    viewBox: "0 0 14 14",
+    fill: "none",
+    xmlns: "http://www.w3.org/2000/svg"
+  }, _ctx.pti()), _hoisted_2$x, 16);
+}
+__name(render$t, "render$t");
+script$u.render = render$t;
+var theme$h = /* @__PURE__ */ __name(function theme20(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-chip {\n    display: inline-flex;\n    align-items: center;\n    background: ".concat(dt3("chip.background"), ";\n    color: ").concat(dt3("chip.color"), ";\n    border-radius: ").concat(dt3("chip.border.radius"), ";\n    padding: ").concat(dt3("chip.padding.y"), " ").concat(dt3("chip.padding.x"), ";\n    gap: ").concat(dt3("chip.gap"), ";\n}\n\n.p-chip-icon {\n    color: ").concat(dt3("chip.icon.color"), ";\n    font-size: ").concat(dt3("chip.icon.font.size"), ";\n    width: ").concat(dt3("chip.icon.size"), ";\n    height: ").concat(dt3("chip.icon.size"), ";\n}\n\n.p-chip-image {\n    border-radius: 50%;\n    width: ").concat(dt3("chip.image.width"), ";\n    height: ").concat(dt3("chip.image.height"), ";\n    margin-left: calc(-1 * ").concat(dt3("chip.padding.y"), ");\n}\n\n.p-chip:has(.p-chip-remove-icon) {\n    padding-right: ").concat(dt3("chip.padding.y"), ";\n}\n\n.p-chip:has(.p-chip-image) {\n    padding-top: calc(").concat(dt3("chip.padding.y"), " / 2);\n    padding-bottom: calc(").concat(dt3("chip.padding.y"), " / 2);\n}\n\n.p-chip-remove-icon {\n    cursor: pointer;\n    font-size: ").concat(dt3("chip.remove.icon.size"), ";\n    width: ").concat(dt3("chip.remove.icon.size"), ";\n    height: ").concat(dt3("chip.remove.icon.size"), ";\n    color: ").concat(dt3("chip.remove.icon.color"), ";\n    border-radius: 50%;\n    transition: outline-color ").concat(dt3("chip.transition.duration"), ", box-shadow ").concat(dt3("chip.transition.duration"), ";\n    outline-color: transparent;\n}\n\n.p-chip-remove-icon:focus-visible {\n    box-shadow: ").concat(dt3("chip.remove.icon.focus.ring.shadow"), ";\n    outline: ").concat(dt3("chip.remove.icon.focus.ring.width"), " ").concat(dt3("chip.remove.icon.focus.ring.style"), " ").concat(dt3("chip.remove.icon.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("chip.remove.icon.focus.ring.offset"), ";\n}\n");
+}, "theme");
+var classes$i = {
+  root: "p-chip p-component",
+  image: "p-chip-image",
+  icon: "p-chip-icon",
+  label: "p-chip-label",
+  removeIcon: "p-chip-remove-icon"
+};
+var ChipStyle = BaseStyle.extend({
+  name: "chip",
+  theme: theme$h,
+  classes: classes$i
+});
+var script$1$i = {
+  name: "BaseChip",
+  "extends": script$X,
+  props: {
+    label: {
+      type: String,
+      "default": null
+    },
+    icon: {
+      type: String,
+      "default": null
+    },
+    image: {
+      type: String,
+      "default": null
+    },
+    removable: {
+      type: Boolean,
+      "default": false
+    },
+    removeIcon: {
+      type: String,
+      "default": void 0
+    }
+  },
+  style: ChipStyle,
+  provide: /* @__PURE__ */ __name(function provide21() {
+    return {
+      $pcChip: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$t = {
+  name: "Chip",
+  "extends": script$1$i,
+  inheritAttrs: false,
+  emits: ["remove"],
+  data: /* @__PURE__ */ __name(function data8() {
+    return {
+      visible: true
+    };
+  }, "data"),
+  methods: {
+    onKeydown: /* @__PURE__ */ __name(function onKeydown2(event2) {
+      if (event2.key === "Enter" || event2.key === "Backspace") {
+        this.close(event2);
+      }
+    }, "onKeydown"),
+    close: /* @__PURE__ */ __name(function close(event2) {
+      this.visible = false;
+      this.$emit("remove", event2);
+    }, "close")
+  },
+  components: {
+    TimesCircleIcon: script$u
+  }
+};
+var _hoisted_1$I = ["aria-label"];
+var _hoisted_2$w = ["src"];
+function render$s(_ctx, _cache, $props, $setup, $data, $options) {
+  return $data.visible ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 0,
+    "class": _ctx.cx("root"),
+    "aria-label": _ctx.label
+  }, _ctx.ptmi("root")), [renderSlot(_ctx.$slots, "default", {}, function() {
+    return [_ctx.image ? (openBlock(), createElementBlock("img", mergeProps({
+      key: 0,
+      src: _ctx.image
+    }, _ctx.ptm("image"), {
+      "class": _ctx.cx("image")
+    }), null, 16, _hoisted_2$w)) : _ctx.$slots.icon ? (openBlock(), createBlock(resolveDynamicComponent(_ctx.$slots.icon), mergeProps({
+      key: 1,
+      "class": _ctx.cx("icon")
+    }, _ctx.ptm("icon")), null, 16, ["class"])) : _ctx.icon ? (openBlock(), createElementBlock("span", mergeProps({
+      key: 2,
+      "class": [_ctx.cx("icon"), _ctx.icon]
+    }, _ctx.ptm("icon")), null, 16)) : createCommentVNode("", true), _ctx.label ? (openBlock(), createElementBlock("div", mergeProps({
+      key: 3,
+      "class": _ctx.cx("label")
+    }, _ctx.ptm("label")), toDisplayString$1(_ctx.label), 17)) : createCommentVNode("", true)];
+  }), _ctx.removable ? renderSlot(_ctx.$slots, "removeicon", {
+    key: 0,
+    removeCallback: $options.close,
+    keydownCallback: $options.onKeydown
+  }, function() {
+    return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.removeIcon ? "span" : "TimesCircleIcon"), mergeProps({
+      tabindex: "0",
+      "class": [_ctx.cx("removeIcon"), _ctx.removeIcon],
+      onClick: $options.close,
+      onKeydown: $options.onKeydown
+    }, _ctx.ptm("removeIcon")), null, 16, ["class", "onClick", "onKeydown"]))];
+  }) : createCommentVNode("", true)], 16, _hoisted_1$I)) : createCommentVNode("", true);
+}
+__name(render$s, "render$s");
+script$t.render = render$s;
+const _sfc_main$y = /* @__PURE__ */ defineComponent({
+  __name: "SearchFilterChip",
+  props: {
+    text: {},
+    badge: {},
+    badgeClass: {}
+  },
+  emits: ["remove"],
+  setup(__props) {
+    return (_ctx, _cache) => {
+      return openBlock(), createBlock(unref(script$t), {
+        removable: "",
+        onRemove: _cache[0] || (_cache[0] = ($event) => _ctx.$emit("remove", $event))
+      }, {
+        default: withCtx(() => [
+          createVNode(unref(script$K), {
+            size: "small",
+            class: normalizeClass(_ctx.badgeClass)
+          }, {
+            default: withCtx(() => [
+              createTextVNode(toDisplayString$1(_ctx.badge), 1)
+            ]),
+            _: 1
+          }, 8, ["class"]),
+          createTextVNode(" " + toDisplayString$1(_ctx.text), 1)
+        ]),
+        _: 1
+      });
+    };
+  }
+});
+const SearchFilterChip = /* @__PURE__ */ _export_sfc(_sfc_main$y, [["__scopeId", "data-v-a4c03005"]]);
+const _withScopeId$i = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-73e04275"), n = n(), popScopeId(), n), "_withScopeId$i");
+const _hoisted_1$H = {
+  key: 0,
+  class: "search-filters"
+};
+const _sfc_main$x = /* @__PURE__ */ defineComponent({
+  __name: "SearchBox",
+  props: {
+    class: {},
+    modelValue: {},
+    placeholder: { default: "Search..." },
+    icon: { default: "pi pi-search" },
+    debounceTime: { default: 300 },
+    filterIcon: {},
+    filters: {}
+  },
+  emits: [
+    "update:modelValue",
+    "search",
+    "showFilter",
+    "removeFilter"
+  ],
+  setup(__props, { emit: __emit }) {
+    const props = __props;
+    const { filters } = toRefs$1(props);
+    const emit2 = __emit;
+    const emitSearch = lodashExports.debounce((value3) => {
+      emit2("search", value3, props.filters);
+    }, props.debounceTime);
+    const handleInput = /* @__PURE__ */ __name((event2) => {
+      const target = event2.target;
+      emit2("update:modelValue", target.value);
+      emitSearch(target.value);
+    }, "handleInput");
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", {
+        class: normalizeClass(props.class)
+      }, [
+        createVNode(unref(script$Q), null, {
+          default: withCtx(() => [
+            createVNode(unref(script$P), {
+              class: normalizeClass(props.icon)
+            }, null, 8, ["class"]),
+            createVNode(unref(script$O), {
+              class: normalizeClass(["search-box-input", { ["with-filter"]: props.filterIcon }]),
+              onInput: handleInput,
+              modelValue: props.modelValue,
+              placeholder: props.placeholder
+            }, null, 8, ["class", "modelValue", "placeholder"]),
+            props.filterIcon ? (openBlock(), createBlock(unref(script$J), {
+              key: 0,
+              class: "p-inputicon",
+              icon: props.filterIcon,
+              text: "",
+              severity: "contrast",
+              onClick: _cache[0] || (_cache[0] = ($event) => _ctx.$emit("showFilter", $event))
+            }, null, 8, ["icon"])) : createCommentVNode("", true)
+          ]),
+          _: 1
+        }),
+        unref(filters) ? (openBlock(), createElementBlock("div", _hoisted_1$H, [
+          (openBlock(true), createElementBlock(Fragment, null, renderList(unref(filters), (filter4) => {
+            return openBlock(), createBlock(SearchFilterChip, {
+              key: filter4.id,
+              text: filter4.text,
+              badge: filter4.badge,
+              "badge-class": filter4.badgeClass,
+              onRemove: /* @__PURE__ */ __name(($event) => _ctx.$emit("removeFilter", filter4), "onRemove")
+            }, null, 8, ["text", "badge", "badge-class", "onRemove"]);
+          }), 128))
+        ])) : createCommentVNode("", true)
+      ], 2);
+    };
+  }
+});
+const SearchBox = /* @__PURE__ */ _export_sfc(_sfc_main$x, [["__scopeId", "data-v-73e04275"]]);
+var theme$g = /* @__PURE__ */ __name(function theme21(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-card {\n    background: ".concat(dt3("card.background"), ";\n    color: ").concat(dt3("card.color"), ";\n    box-shadow: ").concat(dt3("card.shadow"), ";\n    border-radius: ").concat(dt3("card.border.radius"), ";\n    display: flex;\n    flex-direction: column;\n}\n\n.p-card-caption {\n    display: flex;\n    flex-direction: column;\n    gap: ").concat(dt3("card.caption.gap"), ";\n}\n\n.p-card-body {\n    padding: ").concat(dt3("card.body.padding"), ";\n    display: flex;\n    flex-direction: column;\n    gap: ").concat(dt3("card.body.gap"), ";\n}\n\n.p-card-title {\n    font-size: ").concat(dt3("card.title.font.size"), ";\n    font-weight: ").concat(dt3("card.title.font.weight"), ";\n}\n\n.p-card-subtitle {\n    color: ").concat(dt3("card.subtitle.color"), ";\n}\n");
+}, "theme");
+var classes$h = {
+  root: "p-card p-component",
+  header: "p-card-header",
+  body: "p-card-body",
+  caption: "p-card-caption",
+  title: "p-card-title",
+  subtitle: "p-card-subtitle",
+  content: "p-card-content",
+  footer: "p-card-footer"
+};
+var CardStyle = BaseStyle.extend({
+  name: "card",
+  theme: theme$g,
+  classes: classes$h
+});
+var script$1$h = {
+  name: "BaseCard",
+  "extends": script$X,
+  style: CardStyle,
+  provide: /* @__PURE__ */ __name(function provide22() {
+    return {
+      $pcCard: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$s = {
+  name: "Card",
+  "extends": script$1$h,
+  inheritAttrs: false
+};
+function render$r(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root")
+  }, _ctx.ptmi("root")), [_ctx.$slots.header ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 0,
+    "class": _ctx.cx("header")
+  }, _ctx.ptm("header")), [renderSlot(_ctx.$slots, "header")], 16)) : createCommentVNode("", true), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("body")
+  }, _ctx.ptm("body")), [_ctx.$slots.title || _ctx.$slots.subtitle ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 0,
+    "class": _ctx.cx("caption")
+  }, _ctx.ptm("caption")), [_ctx.$slots.title ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 0,
+    "class": _ctx.cx("title")
+  }, _ctx.ptm("title")), [renderSlot(_ctx.$slots, "title")], 16)) : createCommentVNode("", true), _ctx.$slots.subtitle ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 1,
+    "class": _ctx.cx("subtitle")
+  }, _ctx.ptm("subtitle")), [renderSlot(_ctx.$slots, "subtitle")], 16)) : createCommentVNode("", true)], 16)) : createCommentVNode("", true), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("content")
+  }, _ctx.ptm("content")), [renderSlot(_ctx.$slots, "content")], 16), _ctx.$slots.footer ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 1,
+    "class": _ctx.cx("footer")
+  }, _ctx.ptm("footer")), [renderSlot(_ctx.$slots, "footer")], 16)) : createCommentVNode("", true)], 16)], 16);
+}
+__name(render$r, "render$r");
+script$s.render = render$r;
+const _withScopeId$h = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-b87655d7"), n = n(), popScopeId(), n), "_withScopeId$h");
+const _hoisted_1$G = { class: "no-results-placeholder" };
+const _hoisted_2$v = { class: "flex flex-column align-items-center" };
+const _sfc_main$w = /* @__PURE__ */ defineComponent({
+  __name: "NoResultsPlaceholder",
+  props: {
+    icon: {},
+    title: {},
+    message: {},
+    buttonLabel: {}
+  },
+  emits: ["action"],
+  setup(__props) {
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", _hoisted_1$G, [
+        createVNode(unref(script$s), null, {
+          content: withCtx(() => [
+            createBaseVNode("div", _hoisted_2$v, [
+              createBaseVNode("i", {
+                class: normalizeClass(_ctx.icon),
+                style: { "font-size": "3rem", "margin-bottom": "1rem" }
+              }, null, 2),
+              createBaseVNode("h3", null, toDisplayString$1(_ctx.title), 1),
+              createBaseVNode("p", null, toDisplayString$1(_ctx.message), 1),
+              _ctx.buttonLabel ? (openBlock(), createBlock(unref(script$J), {
+                key: 0,
+                label: _ctx.buttonLabel,
+                onClick: _cache[0] || (_cache[0] = ($event) => _ctx.$emit("action")),
+                class: "p-button-text"
+              }, null, 8, ["label"])) : createCommentVNode("", true)
+            ])
+          ]),
+          _: 1
+        })
+      ]);
+    };
+  }
+});
+const NoResultsPlaceholder = /* @__PURE__ */ _export_sfc(_sfc_main$w, [["__scopeId", "data-v-b87655d7"]]);
+const _withScopeId$g = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-593b49af"), n = n(), popScopeId(), n), "_withScopeId$g");
+const _hoisted_1$F = { class: "settings-container" };
+const _hoisted_2$u = { class: "settings-sidebar" };
+const _hoisted_3$e = { class: "settings-content" };
+const _hoisted_4$9 = { key: 0 };
+const _sfc_main$v = /* @__PURE__ */ defineComponent({
+  __name: "SettingDialogContent",
+  setup(__props) {
+    const settingStore = useSettingStore();
+    const settingRoot = computed(() => settingStore.settingTree);
+    const categories = computed(
+      () => settingRoot.value.children || []
+    );
+    const activeCategory = ref(null);
+    const searchResults = ref([]);
+    watch(activeCategory, (newCategory, oldCategory) => {
+      if (newCategory === null) {
+        activeCategory.value = oldCategory;
+      }
+    });
+    onMounted(() => {
+      activeCategory.value = categories.value[0];
+    });
+    const sortedGroups = /* @__PURE__ */ __name((category) => {
+      return [...category.children || []].sort(
+        (a, b) => a.label.localeCompare(b.label)
+      );
+    }, "sortedGroups");
+    const searchQuery = ref("");
+    const searchInProgress = ref(false);
+    watch(searchQuery, () => searchInProgress.value = true);
+    const handleSearch = /* @__PURE__ */ __name((query) => {
+      if (!query) {
+        searchResults.value = [];
+        return;
+      }
+      const allSettings = flattenTree(settingRoot.value);
+      const filteredSettings = allSettings.filter(
+        (setting) => setting.id.toLowerCase().includes(query.toLowerCase()) || setting.name.toLowerCase().includes(query.toLowerCase())
+      );
+      const groupedSettings = {};
+      filteredSettings.forEach((setting) => {
+        const groupLabel = setting.id.split(".")[1];
+        if (!groupedSettings[groupLabel]) {
+          groupedSettings[groupLabel] = [];
+        }
+        groupedSettings[groupLabel].push(setting);
+      });
+      searchResults.value = Object.entries(groupedSettings).map(
+        ([label5, settings]) => ({
+          label: label5,
+          settings
+        })
+      );
+      searchInProgress.value = false;
+    }, "handleSearch");
+    const inSearch = computed(
+      () => searchQuery.value.length > 0 && !searchInProgress.value
+    );
+    const tabValue = computed(
+      () => inSearch.value ? "Search Results" : activeCategory.value?.label
+    );
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", _hoisted_1$F, [
+        createBaseVNode("div", _hoisted_2$u, [
+          createVNode(SearchBox, {
+            class: "settings-search-box",
+            modelValue: searchQuery.value,
+            "onUpdate:modelValue": _cache[0] || (_cache[0] = ($event) => searchQuery.value = $event),
+            onSearch: handleSearch,
+            placeholder: _ctx.$t("searchSettings") + "..."
+          }, null, 8, ["modelValue", "placeholder"]),
+          createVNode(unref(script$L), {
+            modelValue: activeCategory.value,
+            "onUpdate:modelValue": _cache[1] || (_cache[1] = ($event) => activeCategory.value = $event),
+            options: categories.value,
+            optionLabel: "label",
+            scrollHeight: "100%",
+            disabled: inSearch.value,
+            pt: { root: { class: "border-none" } }
+          }, null, 8, ["modelValue", "options", "disabled"])
+        ]),
+        createVNode(unref(script$F), { layout: "vertical" }),
+        createBaseVNode("div", _hoisted_3$e, [
+          createVNode(unref(script$I), { value: tabValue.value }, {
+            default: withCtx(() => [
+              createVNode(unref(script$H), { class: "settings-tab-panels" }, {
+                default: withCtx(() => [
+                  createVNode(unref(script$G), {
+                    key: "search-results",
+                    value: "Search Results"
+                  }, {
+                    default: withCtx(() => [
+                      searchResults.value.length > 0 ? (openBlock(), createElementBlock("div", _hoisted_4$9, [
+                        (openBlock(true), createElementBlock(Fragment, null, renderList(searchResults.value, (group, i2) => {
+                          return openBlock(), createBlock(SettingGroup, {
+                            key: group.label,
+                            divider: i2 !== 0,
+                            group
+                          }, null, 8, ["divider", "group"]);
+                        }), 128))
+                      ])) : (openBlock(), createBlock(NoResultsPlaceholder, {
+                        key: 1,
+                        icon: "pi pi-search",
+                        title: _ctx.$t("noResultsFound"),
+                        message: _ctx.$t("searchFailedMessage")
+                      }, null, 8, ["title", "message"]))
+                    ]),
+                    _: 1
+                  }),
+                  (openBlock(true), createElementBlock(Fragment, null, renderList(categories.value, (category) => {
+                    return openBlock(), createBlock(unref(script$G), {
+                      key: category.key,
+                      value: category.label
+                    }, {
+                      default: withCtx(() => [
+                        (openBlock(true), createElementBlock(Fragment, null, renderList(sortedGroups(category), (group, i2) => {
+                          return openBlock(), createBlock(SettingGroup, {
+                            key: group.label,
+                            divider: i2 !== 0,
+                            group: {
+                              label: group.label,
+                              settings: unref(flattenTree)(group)
+                            }
+                          }, null, 8, ["divider", "group"]);
+                        }), 128))
+                      ]),
+                      _: 2
+                    }, 1032, ["value"]);
+                  }), 128))
+                ]),
+                _: 1
+              })
+            ]),
+            _: 1
+          }, 8, ["value"])
+        ])
+      ]);
+    };
+  }
+});
+const SettingDialogContent = /* @__PURE__ */ _export_sfc(_sfc_main$v, [["__scopeId", "data-v-593b49af"]]);
+const _withScopeId$f = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-494412ee"), n = n(), popScopeId(), n), "_withScopeId$f");
+const _hoisted_1$E = /* @__PURE__ */ _withScopeId$f(() => /* @__PURE__ */ createBaseVNode("i", { class: "pi pi-cog" }, null, -1));
+const _sfc_main$u = /* @__PURE__ */ defineComponent({
+  __name: "SettingDialogHeader",
+  setup(__props) {
+    const frontendVersion = "v" + window["__COMFYUI_FRONTEND_VERSION__"];
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", null, [
+        createBaseVNode("h2", null, [
+          _hoisted_1$E,
+          createBaseVNode("span", null, toDisplayString$1(_ctx.$t("settings")), 1),
+          createVNode(unref(script$w), {
+            value: frontendVersion,
+            severity: "secondary",
+            class: "version-tag"
+          })
+        ])
+      ]);
+    };
+  }
+});
+const SettingDialogHeader = /* @__PURE__ */ _export_sfc(_sfc_main$u, [["__scopeId", "data-v-494412ee"]]);
+var isVue2$1 = false;
+var isVue3$1 = true;
+var Vue2$1 = void 0;
+function install$1() {
+}
+__name(install$1, "install$1");
+function set$2(target, key, val) {
+  if (Array.isArray(target)) {
+    target.length = Math.max(target.length, key);
+    target.splice(key, 1, val);
+    return val;
+  }
+  target[key] = val;
+  return val;
+}
+__name(set$2, "set$2");
+function del$1(target, key) {
+  if (Array.isArray(target)) {
+    target.splice(key, 1);
+    return;
+  }
+  delete target[key];
+}
+__name(del$1, "del$1");
+function computedEager(fn, options3) {
+  var _a;
+  const result = shallowRef();
+  watchEffect(() => {
+    result.value = fn();
+  }, {
+    ...options3,
+    flush: (_a = options3 == null ? void 0 : options3.flush) != null ? _a : "sync"
+  });
+  return readonly(result);
+}
+__name(computedEager, "computedEager");
+function computedWithControl(source, fn) {
+  let v2 = void 0;
+  let track2;
+  let trigger2;
+  const dirty = ref(true);
+  const update2 = /* @__PURE__ */ __name(() => {
+    dirty.value = true;
+    trigger2();
+  }, "update");
+  watch(source, update2, { flush: "sync" });
+  const get2 = typeof fn === "function" ? fn : fn.get;
+  const set2 = typeof fn === "function" ? void 0 : fn.set;
+  const result = customRef((_track, _trigger) => {
+    track2 = _track;
+    trigger2 = _trigger;
+    return {
+      get() {
+        if (dirty.value) {
+          v2 = get2(v2);
+          dirty.value = false;
+        }
+        track2();
+        return v2;
+      },
+      set(v22) {
+        set2 == null ? void 0 : set2(v22);
+      }
+    };
+  });
+  if (Object.isExtensible(result))
+    result.trigger = update2;
+  return result;
+}
+__name(computedWithControl, "computedWithControl");
+function tryOnScopeDispose(fn) {
+  if (getCurrentScope()) {
+    onScopeDispose(fn);
+    return true;
+  }
+  return false;
+}
+__name(tryOnScopeDispose, "tryOnScopeDispose");
+function createEventHook() {
+  const fns = /* @__PURE__ */ new Set();
+  const off = /* @__PURE__ */ __name((fn) => {
+    fns.delete(fn);
+  }, "off");
+  const on = /* @__PURE__ */ __name((fn) => {
+    fns.add(fn);
+    const offFn = /* @__PURE__ */ __name(() => off(fn), "offFn");
+    tryOnScopeDispose(offFn);
+    return {
+      off: offFn
+    };
+  }, "on");
+  const trigger2 = /* @__PURE__ */ __name((...args) => {
+    return Promise.all(Array.from(fns).map((fn) => fn(...args)));
+  }, "trigger");
+  return {
+    on,
+    off,
+    trigger: trigger2
+  };
+}
+__name(createEventHook, "createEventHook");
+function createGlobalState(stateFactory) {
+  let initialized = false;
+  let state;
+  const scope = effectScope(true);
+  return (...args) => {
+    if (!initialized) {
+      state = scope.run(() => stateFactory(...args));
+      initialized = true;
+    }
+    return state;
+  };
+}
+__name(createGlobalState, "createGlobalState");
+const localProvidedStateMap = /* @__PURE__ */ new WeakMap();
+const provideLocal = /* @__PURE__ */ __name((key, value3) => {
+  var _a;
+  const instance = (_a = getCurrentInstance()) == null ? void 0 : _a.proxy;
+  if (instance == null)
+    throw new Error("provideLocal must be called in setup");
+  if (!localProvidedStateMap.has(instance))
+    localProvidedStateMap.set(instance, /* @__PURE__ */ Object.create(null));
+  const localProvidedState = localProvidedStateMap.get(instance);
+  localProvidedState[key] = value3;
+  provide(key, value3);
+}, "provideLocal");
+const injectLocal = /* @__PURE__ */ __name((...args) => {
+  var _a;
+  const key = args[0];
+  const instance = (_a = getCurrentInstance()) == null ? void 0 : _a.proxy;
+  if (instance == null)
+    throw new Error("injectLocal must be called in setup");
+  if (localProvidedStateMap.has(instance) && key in localProvidedStateMap.get(instance))
+    return localProvidedStateMap.get(instance)[key];
+  return inject(...args);
+}, "injectLocal");
+function createInjectionState(composable, options3) {
+  const key = (options3 == null ? void 0 : options3.injectionKey) || Symbol(composable.name || "InjectionState");
+  const defaultValue = options3 == null ? void 0 : options3.defaultValue;
+  const useProvidingState = /* @__PURE__ */ __name((...args) => {
+    const state = composable(...args);
+    provideLocal(key, state);
+    return state;
+  }, "useProvidingState");
+  const useInjectedState = /* @__PURE__ */ __name(() => injectLocal(key, defaultValue), "useInjectedState");
+  return [useProvidingState, useInjectedState];
+}
+__name(createInjectionState, "createInjectionState");
+function createSharedComposable(composable) {
+  let subscribers = 0;
+  let state;
+  let scope;
+  const dispose = /* @__PURE__ */ __name(() => {
+    subscribers -= 1;
+    if (scope && subscribers <= 0) {
+      scope.stop();
+      state = void 0;
+      scope = void 0;
+    }
+  }, "dispose");
+  return (...args) => {
+    subscribers += 1;
+    if (!state) {
+      scope = effectScope(true);
+      state = scope.run(() => composable(...args));
+    }
+    tryOnScopeDispose(dispose);
+    return state;
+  };
+}
+__name(createSharedComposable, "createSharedComposable");
+function extendRef(ref2, extend4, { enumerable = false, unwrap = true } = {}) {
+  if (!isVue3$1 && !version.startsWith("2.7.")) {
+    if (false)
+      throw new Error("[VueUse] extendRef only works in Vue 2.7 or above.");
+    return;
+  }
+  for (const [key, value3] of Object.entries(extend4)) {
+    if (key === "value")
+      continue;
+    if (isRef(value3) && unwrap) {
+      Object.defineProperty(ref2, key, {
+        get() {
+          return value3.value;
+        },
+        set(v2) {
+          value3.value = v2;
+        },
+        enumerable
+      });
+    } else {
+      Object.defineProperty(ref2, key, { value: value3, enumerable });
+    }
+  }
+  return ref2;
+}
+__name(extendRef, "extendRef");
+function get$1(obj, key) {
+  if (key == null)
+    return unref(obj);
+  return unref(obj)[key];
+}
+__name(get$1, "get$1");
+function isDefined$1(v2) {
+  return unref(v2) != null;
+}
+__name(isDefined$1, "isDefined$1");
+function makeDestructurable(obj, arr) {
+  if (typeof Symbol !== "undefined") {
+    const clone2 = { ...obj };
+    Object.defineProperty(clone2, Symbol.iterator, {
+      enumerable: false,
+      value() {
+        let index2 = 0;
+        return {
+          next: /* @__PURE__ */ __name(() => ({
+            value: arr[index2++],
+            done: index2 > arr.length
+          }), "next")
+        };
+      }
+    });
+    return clone2;
+  } else {
+    return Object.assign([...arr], obj);
+  }
+}
+__name(makeDestructurable, "makeDestructurable");
+function toValue(r) {
+  return typeof r === "function" ? r() : unref(r);
+}
+__name(toValue, "toValue");
+const resolveUnref = toValue;
+function reactify(fn, options3) {
+  const unrefFn = (options3 == null ? void 0 : options3.computedGetter) === false ? unref : toValue;
+  return function(...args) {
+    return computed(() => fn.apply(this, args.map((i2) => unrefFn(i2))));
+  };
+}
+__name(reactify, "reactify");
+function reactifyObject(obj, optionsOrKeys = {}) {
+  let keys2 = [];
+  let options3;
+  if (Array.isArray(optionsOrKeys)) {
+    keys2 = optionsOrKeys;
+  } else {
+    options3 = optionsOrKeys;
+    const { includeOwnProperties = true } = optionsOrKeys;
+    keys2.push(...Object.keys(obj));
+    if (includeOwnProperties)
+      keys2.push(...Object.getOwnPropertyNames(obj));
+  }
+  return Object.fromEntries(
+    keys2.map((key) => {
+      const value3 = obj[key];
+      return [
+        key,
+        typeof value3 === "function" ? reactify(value3.bind(obj), options3) : value3
+      ];
+    })
+  );
+}
+__name(reactifyObject, "reactifyObject");
+function toReactive(objectRef) {
+  if (!isRef(objectRef))
+    return reactive(objectRef);
+  const proxy = new Proxy({}, {
+    get(_2, p2, receiver) {
+      return unref(Reflect.get(objectRef.value, p2, receiver));
+    },
+    set(_2, p2, value3) {
+      if (isRef(objectRef.value[p2]) && !isRef(value3))
+        objectRef.value[p2].value = value3;
+      else
+        objectRef.value[p2] = value3;
+      return true;
+    },
+    deleteProperty(_2, p2) {
+      return Reflect.deleteProperty(objectRef.value, p2);
+    },
+    has(_2, p2) {
+      return Reflect.has(objectRef.value, p2);
+    },
+    ownKeys() {
+      return Object.keys(objectRef.value);
+    },
+    getOwnPropertyDescriptor() {
+      return {
+        enumerable: true,
+        configurable: true
+      };
+    }
+  });
+  return reactive(proxy);
+}
+__name(toReactive, "toReactive");
+function reactiveComputed(fn) {
+  return toReactive(computed(fn));
+}
+__name(reactiveComputed, "reactiveComputed");
+function reactiveOmit(obj, ...keys2) {
+  const flatKeys = keys2.flat();
+  const predicate = flatKeys[0];
+  return reactiveComputed(() => typeof predicate === "function" ? Object.fromEntries(Object.entries(toRefs$1(obj)).filter(([k, v2]) => !predicate(toValue(v2), k))) : Object.fromEntries(Object.entries(toRefs$1(obj)).filter((e) => !flatKeys.includes(e[0]))));
+}
+__name(reactiveOmit, "reactiveOmit");
+const isClient = typeof window !== "undefined" && typeof document !== "undefined";
+const isWorker = typeof WorkerGlobalScope !== "undefined" && globalThis instanceof WorkerGlobalScope;
+const isDef = /* @__PURE__ */ __name((val) => typeof val !== "undefined", "isDef");
+const notNullish = /* @__PURE__ */ __name((val) => val != null, "notNullish");
+const assert = /* @__PURE__ */ __name((condition, ...infos) => {
+  if (!condition)
+    console.warn(...infos);
+}, "assert");
+const toString$1 = Object.prototype.toString;
+const isObject$3 = /* @__PURE__ */ __name((val) => toString$1.call(val) === "[object Object]", "isObject$3");
+const now = /* @__PURE__ */ __name(() => Date.now(), "now");
+const timestamp = /* @__PURE__ */ __name(() => +Date.now(), "timestamp");
+const clamp = /* @__PURE__ */ __name((n, min, max) => Math.min(max, Math.max(min, n)), "clamp");
+const noop = /* @__PURE__ */ __name(() => {
+}, "noop");
+const rand = /* @__PURE__ */ __name((min, max) => {
+  min = Math.ceil(min);
+  max = Math.floor(max);
+  return Math.floor(Math.random() * (max - min + 1)) + min;
+}, "rand");
+const hasOwn$2 = /* @__PURE__ */ __name((val, key) => Object.prototype.hasOwnProperty.call(val, key), "hasOwn$2");
+const isIOS = /* @__PURE__ */ getIsIOS();
+function getIsIOS() {
+  var _a, _b;
+  return isClient && ((_a = window == null ? void 0 : window.navigator) == null ? void 0 : _a.userAgent) && (/iP(?:ad|hone|od)/.test(window.navigator.userAgent) || ((_b = window == null ? void 0 : window.navigator) == null ? void 0 : _b.maxTouchPoints) > 2 && /iPad|Macintosh/.test(window == null ? void 0 : window.navigator.userAgent));
+}
+__name(getIsIOS, "getIsIOS");
+function createFilterWrapper(filter4, fn) {
+  function wrapper(...args) {
+    return new Promise((resolve8, reject2) => {
+      Promise.resolve(filter4(() => fn.apply(this, args), { fn, thisArg: this, args })).then(resolve8).catch(reject2);
+    });
+  }
+  __name(wrapper, "wrapper");
+  return wrapper;
+}
+__name(createFilterWrapper, "createFilterWrapper");
+const bypassFilter = /* @__PURE__ */ __name((invoke2) => {
+  return invoke2();
+}, "bypassFilter");
+function debounceFilter(ms, options3 = {}) {
+  let timer;
+  let maxTimer;
+  let lastRejector = noop;
+  const _clearTimeout = /* @__PURE__ */ __name((timer2) => {
+    clearTimeout(timer2);
+    lastRejector();
+    lastRejector = noop;
+  }, "_clearTimeout");
+  const filter4 = /* @__PURE__ */ __name((invoke2) => {
+    const duration = toValue(ms);
+    const maxDuration = toValue(options3.maxWait);
+    if (timer)
+      _clearTimeout(timer);
+    if (duration <= 0 || maxDuration !== void 0 && maxDuration <= 0) {
+      if (maxTimer) {
+        _clearTimeout(maxTimer);
+        maxTimer = null;
+      }
+      return Promise.resolve(invoke2());
+    }
+    return new Promise((resolve8, reject2) => {
+      lastRejector = options3.rejectOnCancel ? reject2 : resolve8;
+      if (maxDuration && !maxTimer) {
+        maxTimer = setTimeout(() => {
+          if (timer)
+            _clearTimeout(timer);
+          maxTimer = null;
+          resolve8(invoke2());
+        }, maxDuration);
+      }
+      timer = setTimeout(() => {
+        if (maxTimer)
+          _clearTimeout(maxTimer);
+        maxTimer = null;
+        resolve8(invoke2());
+      }, duration);
+    });
+  }, "filter");
+  return filter4;
+}
+__name(debounceFilter, "debounceFilter");
+function throttleFilter(...args) {
+  let lastExec = 0;
+  let timer;
+  let isLeading = true;
+  let lastRejector = noop;
+  let lastValue;
+  let ms;
+  let trailing;
+  let leading;
+  let rejectOnCancel;
+  if (!isRef(args[0]) && typeof args[0] === "object")
+    ({ delay: ms, trailing = true, leading = true, rejectOnCancel = false } = args[0]);
+  else
+    [ms, trailing = true, leading = true, rejectOnCancel = false] = args;
+  const clear3 = /* @__PURE__ */ __name(() => {
+    if (timer) {
+      clearTimeout(timer);
+      timer = void 0;
+      lastRejector();
+      lastRejector = noop;
+    }
+  }, "clear");
+  const filter4 = /* @__PURE__ */ __name((_invoke) => {
+    const duration = toValue(ms);
+    const elapsed = Date.now() - lastExec;
+    const invoke2 = /* @__PURE__ */ __name(() => {
+      return lastValue = _invoke();
+    }, "invoke2");
+    clear3();
+    if (duration <= 0) {
+      lastExec = Date.now();
+      return invoke2();
+    }
+    if (elapsed > duration && (leading || !isLeading)) {
+      lastExec = Date.now();
+      invoke2();
+    } else if (trailing) {
+      lastValue = new Promise((resolve8, reject2) => {
+        lastRejector = rejectOnCancel ? reject2 : resolve8;
+        timer = setTimeout(() => {
+          lastExec = Date.now();
+          isLeading = true;
+          resolve8(invoke2());
+          clear3();
+        }, Math.max(0, duration - elapsed));
+      });
+    }
+    if (!leading && !timer)
+      timer = setTimeout(() => isLeading = true, duration);
+    isLeading = false;
+    return lastValue;
+  }, "filter");
+  return filter4;
+}
+__name(throttleFilter, "throttleFilter");
+function pausableFilter(extendFilter = bypassFilter) {
+  const isActive = ref(true);
+  function pause() {
+    isActive.value = false;
+  }
+  __name(pause, "pause");
+  function resume() {
+    isActive.value = true;
+  }
+  __name(resume, "resume");
+  const eventFilter = /* @__PURE__ */ __name((...args) => {
+    if (isActive.value)
+      extendFilter(...args);
+  }, "eventFilter");
+  return { isActive: readonly(isActive), pause, resume, eventFilter };
+}
+__name(pausableFilter, "pausableFilter");
+const directiveHooks = {
+  mounted: isVue3$1 ? "mounted" : "inserted",
+  updated: isVue3$1 ? "updated" : "componentUpdated",
+  unmounted: isVue3$1 ? "unmounted" : "unbind"
+};
+function cacheStringFunction(fn) {
+  const cache2 = /* @__PURE__ */ Object.create(null);
+  return (str) => {
+    const hit = cache2[str];
+    return hit || (cache2[str] = fn(str));
+  };
+}
+__name(cacheStringFunction, "cacheStringFunction");
+const hyphenateRE = /\B([A-Z])/g;
+const hyphenate = cacheStringFunction((str) => str.replace(hyphenateRE, "-$1").toLowerCase());
+const camelizeRE = /-(\w)/g;
+const camelize = cacheStringFunction((str) => {
+  return str.replace(camelizeRE, (_2, c) => c ? c.toUpperCase() : "");
+});
+function promiseTimeout(ms, throwOnTimeout = false, reason = "Timeout") {
+  return new Promise((resolve8, reject2) => {
+    if (throwOnTimeout)
+      setTimeout(() => reject2(reason), ms);
+    else
+      setTimeout(resolve8, ms);
+  });
+}
+__name(promiseTimeout, "promiseTimeout");
+function identity(arg) {
+  return arg;
+}
+__name(identity, "identity");
+function createSingletonPromise(fn) {
+  let _promise;
+  function wrapper() {
+    if (!_promise)
+      _promise = fn();
+    return _promise;
+  }
+  __name(wrapper, "wrapper");
+  wrapper.reset = async () => {
+    const _prev = _promise;
+    _promise = void 0;
+    if (_prev)
+      await _prev;
+  };
+  return wrapper;
+}
+__name(createSingletonPromise, "createSingletonPromise");
+function invoke(fn) {
+  return fn();
+}
+__name(invoke, "invoke");
+function containsProp(obj, ...props) {
+  return props.some((k) => k in obj);
+}
+__name(containsProp, "containsProp");
+function increaseWithUnit(target, delta2) {
+  var _a;
+  if (typeof target === "number")
+    return target + delta2;
+  const value3 = ((_a = target.match(/^-?\d+\.?\d*/)) == null ? void 0 : _a[0]) || "";
+  const unit = target.slice(value3.length);
+  const result = Number.parseFloat(value3) + delta2;
+  if (Number.isNaN(result))
+    return target;
+  return result + unit;
+}
+__name(increaseWithUnit, "increaseWithUnit");
+function objectPick(obj, keys2, omitUndefined = false) {
+  return keys2.reduce((n, k) => {
+    if (k in obj) {
+      if (!omitUndefined || obj[k] !== void 0)
+        n[k] = obj[k];
+    }
+    return n;
+  }, {});
+}
+__name(objectPick, "objectPick");
+function objectOmit(obj, keys2, omitUndefined = false) {
+  return Object.fromEntries(Object.entries(obj).filter(([key, value3]) => {
+    return (!omitUndefined || value3 !== void 0) && !keys2.includes(key);
+  }));
+}
+__name(objectOmit, "objectOmit");
+function objectEntries(obj) {
+  return Object.entries(obj);
+}
+__name(objectEntries, "objectEntries");
+function getLifeCycleTarget(target) {
+  return target || getCurrentInstance();
+}
+__name(getLifeCycleTarget, "getLifeCycleTarget");
+function toRef(...args) {
+  if (args.length !== 1)
+    return toRef$1(...args);
+  const r = args[0];
+  return typeof r === "function" ? readonly(customRef(() => ({ get: r, set: noop }))) : ref(r);
+}
+__name(toRef, "toRef");
+const resolveRef = toRef;
+function reactivePick(obj, ...keys2) {
+  const flatKeys = keys2.flat();
+  const predicate = flatKeys[0];
+  return reactiveComputed(() => typeof predicate === "function" ? Object.fromEntries(Object.entries(toRefs$1(obj)).filter(([k, v2]) => predicate(toValue(v2), k))) : Object.fromEntries(flatKeys.map((k) => [k, toRef(obj, k)])));
+}
+__name(reactivePick, "reactivePick");
+function refAutoReset(defaultValue, afterMs = 1e4) {
+  return customRef((track2, trigger2) => {
+    let value3 = toValue(defaultValue);
+    let timer;
+    const resetAfter = /* @__PURE__ */ __name(() => setTimeout(() => {
+      value3 = toValue(defaultValue);
+      trigger2();
+    }, toValue(afterMs)), "resetAfter");
+    tryOnScopeDispose(() => {
+      clearTimeout(timer);
+    });
+    return {
+      get() {
+        track2();
+        return value3;
+      },
+      set(newValue) {
+        value3 = newValue;
+        trigger2();
+        clearTimeout(timer);
+        timer = resetAfter();
+      }
+    };
+  });
+}
+__name(refAutoReset, "refAutoReset");
+function useDebounceFn(fn, ms = 200, options3 = {}) {
+  return createFilterWrapper(
+    debounceFilter(ms, options3),
+    fn
+  );
+}
+__name(useDebounceFn, "useDebounceFn");
+function refDebounced(value3, ms = 200, options3 = {}) {
+  const debounced = ref(value3.value);
+  const updater = useDebounceFn(() => {
+    debounced.value = value3.value;
+  }, ms, options3);
+  watch(value3, () => updater());
+  return debounced;
+}
+__name(refDebounced, "refDebounced");
+function refDefault(source, defaultValue) {
+  return computed({
+    get() {
+      var _a;
+      return (_a = source.value) != null ? _a : defaultValue;
+    },
+    set(value3) {
+      source.value = value3;
+    }
+  });
+}
+__name(refDefault, "refDefault");
+function useThrottleFn(fn, ms = 200, trailing = false, leading = true, rejectOnCancel = false) {
+  return createFilterWrapper(
+    throttleFilter(ms, trailing, leading, rejectOnCancel),
+    fn
+  );
+}
+__name(useThrottleFn, "useThrottleFn");
+function refThrottled(value3, delay = 200, trailing = true, leading = true) {
+  if (delay <= 0)
+    return value3;
+  const throttled = ref(value3.value);
+  const updater = useThrottleFn(() => {
+    throttled.value = value3.value;
+  }, delay, trailing, leading);
+  watch(value3, () => updater());
+  return throttled;
+}
+__name(refThrottled, "refThrottled");
+function refWithControl(initial, options3 = {}) {
+  let source = initial;
+  let track2;
+  let trigger2;
+  const ref2 = customRef((_track, _trigger) => {
+    track2 = _track;
+    trigger2 = _trigger;
+    return {
+      get() {
+        return get2();
+      },
+      set(v2) {
+        set2(v2);
+      }
+    };
+  });
+  function get2(tracking = true) {
+    if (tracking)
+      track2();
+    return source;
+  }
+  __name(get2, "get2");
+  function set2(value3, triggering = true) {
+    var _a, _b;
+    if (value3 === source)
+      return;
+    const old = source;
+    if (((_a = options3.onBeforeChange) == null ? void 0 : _a.call(options3, value3, old)) === false)
+      return;
+    source = value3;
+    (_b = options3.onChanged) == null ? void 0 : _b.call(options3, value3, old);
+    if (triggering)
+      trigger2();
+  }
+  __name(set2, "set2");
+  const untrackedGet = /* @__PURE__ */ __name(() => get2(false), "untrackedGet");
+  const silentSet = /* @__PURE__ */ __name((v2) => set2(v2, false), "silentSet");
+  const peek = /* @__PURE__ */ __name(() => get2(false), "peek");
+  const lay = /* @__PURE__ */ __name((v2) => set2(v2, false), "lay");
+  return extendRef(
+    ref2,
+    {
+      get: get2,
+      set: set2,
+      untrackedGet,
+      silentSet,
+      peek,
+      lay
+    },
+    { enumerable: true }
+  );
+}
+__name(refWithControl, "refWithControl");
+const controlledRef = refWithControl;
+function set$1(...args) {
+  if (args.length === 2) {
+    const [ref2, value3] = args;
+    ref2.value = value3;
+  }
+  if (args.length === 3) {
+    if (isVue2$1) {
+      set$2(...args);
+    } else {
+      const [target, key, value3] = args;
+      target[key] = value3;
+    }
+  }
+}
+__name(set$1, "set$1");
+function watchWithFilter(source, cb, options3 = {}) {
+  const {
+    eventFilter = bypassFilter,
+    ...watchOptions
+  } = options3;
+  return watch(
+    source,
+    createFilterWrapper(
+      eventFilter,
+      cb
+    ),
+    watchOptions
+  );
+}
+__name(watchWithFilter, "watchWithFilter");
+function watchPausable(source, cb, options3 = {}) {
+  const {
+    eventFilter: filter4,
+    ...watchOptions
+  } = options3;
+  const { eventFilter, pause, resume, isActive } = pausableFilter(filter4);
+  const stop2 = watchWithFilter(
+    source,
+    cb,
+    {
+      ...watchOptions,
+      eventFilter
+    }
+  );
+  return { stop: stop2, pause, resume, isActive };
+}
+__name(watchPausable, "watchPausable");
+function syncRef(left, right, ...[options3]) {
+  const {
+    flush = "sync",
+    deep = false,
+    immediate = true,
+    direction = "both",
+    transform: transform2 = {}
+  } = options3 || {};
+  const watchers = [];
+  const transformLTR = "ltr" in transform2 && transform2.ltr || ((v2) => v2);
+  const transformRTL = "rtl" in transform2 && transform2.rtl || ((v2) => v2);
+  if (direction === "both" || direction === "ltr") {
+    watchers.push(watchPausable(
+      left,
+      (newValue) => {
+        watchers.forEach((w2) => w2.pause());
+        right.value = transformLTR(newValue);
+        watchers.forEach((w2) => w2.resume());
+      },
+      { flush, deep, immediate }
+    ));
+  }
+  if (direction === "both" || direction === "rtl") {
+    watchers.push(watchPausable(
+      right,
+      (newValue) => {
+        watchers.forEach((w2) => w2.pause());
+        left.value = transformRTL(newValue);
+        watchers.forEach((w2) => w2.resume());
+      },
+      { flush, deep, immediate }
+    ));
+  }
+  const stop2 = /* @__PURE__ */ __name(() => {
+    watchers.forEach((w2) => w2.stop());
+  }, "stop");
+  return stop2;
+}
+__name(syncRef, "syncRef");
+function syncRefs(source, targets, options3 = {}) {
+  const {
+    flush = "sync",
+    deep = false,
+    immediate = true
+  } = options3;
+  if (!Array.isArray(targets))
+    targets = [targets];
+  return watch(
+    source,
+    (newValue) => targets.forEach((target) => target.value = newValue),
+    { flush, deep, immediate }
+  );
+}
+__name(syncRefs, "syncRefs");
+function toRefs(objectRef, options3 = {}) {
+  if (!isRef(objectRef))
+    return toRefs$1(objectRef);
+  const result = Array.isArray(objectRef.value) ? Array.from({ length: objectRef.value.length }) : {};
+  for (const key in objectRef.value) {
+    result[key] = customRef(() => ({
+      get() {
+        return objectRef.value[key];
+      },
+      set(v2) {
+        var _a;
+        const replaceRef = (_a = toValue(options3.replaceRef)) != null ? _a : true;
+        if (replaceRef) {
+          if (Array.isArray(objectRef.value)) {
+            const copy = [...objectRef.value];
+            copy[key] = v2;
+            objectRef.value = copy;
+          } else {
+            const newObject = { ...objectRef.value, [key]: v2 };
+            Object.setPrototypeOf(newObject, Object.getPrototypeOf(objectRef.value));
+            objectRef.value = newObject;
+          }
+        } else {
+          objectRef.value[key] = v2;
+        }
+      }
+    }));
+  }
+  return result;
+}
+__name(toRefs, "toRefs");
+function tryOnBeforeMount(fn, sync = true, target) {
+  const instance = getLifeCycleTarget(target);
+  if (instance)
+    onBeforeMount(fn, target);
+  else if (sync)
+    fn();
+  else
+    nextTick(fn);
+}
+__name(tryOnBeforeMount, "tryOnBeforeMount");
+function tryOnBeforeUnmount(fn, target) {
+  const instance = getLifeCycleTarget(target);
+  if (instance)
+    onBeforeUnmount(fn, target);
+}
+__name(tryOnBeforeUnmount, "tryOnBeforeUnmount");
+function tryOnMounted(fn, sync = true, target) {
+  const instance = getLifeCycleTarget();
+  if (instance)
+    onMounted(fn, target);
+  else if (sync)
+    fn();
+  else
+    nextTick(fn);
+}
+__name(tryOnMounted, "tryOnMounted");
+function tryOnUnmounted(fn, target) {
+  const instance = getLifeCycleTarget(target);
+  if (instance)
+    onUnmounted(fn, target);
+}
+__name(tryOnUnmounted, "tryOnUnmounted");
+function createUntil(r, isNot = false) {
+  function toMatch(condition, { flush = "sync", deep = false, timeout, throwOnTimeout } = {}) {
+    let stop2 = null;
+    const watcher = new Promise((resolve8) => {
+      stop2 = watch(
+        r,
+        (v2) => {
+          if (condition(v2) !== isNot) {
+            if (stop2)
+              stop2();
+            else
+              nextTick(() => stop2 == null ? void 0 : stop2());
+            resolve8(v2);
+          }
+        },
+        {
+          flush,
+          deep,
+          immediate: true
+        }
+      );
+    });
+    const promises = [watcher];
+    if (timeout != null) {
+      promises.push(
+        promiseTimeout(timeout, throwOnTimeout).then(() => toValue(r)).finally(() => stop2 == null ? void 0 : stop2())
+      );
+    }
+    return Promise.race(promises);
+  }
+  __name(toMatch, "toMatch");
+  function toBe(value3, options3) {
+    if (!isRef(value3))
+      return toMatch((v2) => v2 === value3, options3);
+    const { flush = "sync", deep = false, timeout, throwOnTimeout } = options3 != null ? options3 : {};
+    let stop2 = null;
+    const watcher = new Promise((resolve8) => {
+      stop2 = watch(
+        [r, value3],
+        ([v1, v2]) => {
+          if (isNot !== (v1 === v2)) {
+            if (stop2)
+              stop2();
+            else
+              nextTick(() => stop2 == null ? void 0 : stop2());
+            resolve8(v1);
+          }
+        },
+        {
+          flush,
+          deep,
+          immediate: true
+        }
+      );
+    });
+    const promises = [watcher];
+    if (timeout != null) {
+      promises.push(
+        promiseTimeout(timeout, throwOnTimeout).then(() => toValue(r)).finally(() => {
+          stop2 == null ? void 0 : stop2();
+          return toValue(r);
+        })
+      );
+    }
+    return Promise.race(promises);
+  }
+  __name(toBe, "toBe");
+  function toBeTruthy(options3) {
+    return toMatch((v2) => Boolean(v2), options3);
+  }
+  __name(toBeTruthy, "toBeTruthy");
+  function toBeNull(options3) {
+    return toBe(null, options3);
+  }
+  __name(toBeNull, "toBeNull");
+  function toBeUndefined(options3) {
+    return toBe(void 0, options3);
+  }
+  __name(toBeUndefined, "toBeUndefined");
+  function toBeNaN(options3) {
+    return toMatch(Number.isNaN, options3);
+  }
+  __name(toBeNaN, "toBeNaN");
+  function toContains(value3, options3) {
+    return toMatch((v2) => {
+      const array = Array.from(v2);
+      return array.includes(value3) || array.includes(toValue(value3));
+    }, options3);
+  }
+  __name(toContains, "toContains");
+  function changed(options3) {
+    return changedTimes(1, options3);
+  }
+  __name(changed, "changed");
+  function changedTimes(n = 1, options3) {
+    let count = -1;
+    return toMatch(() => {
+      count += 1;
+      return count >= n;
+    }, options3);
+  }
+  __name(changedTimes, "changedTimes");
+  if (Array.isArray(toValue(r))) {
+    const instance = {
+      toMatch,
+      toContains,
+      changed,
+      changedTimes,
+      get not() {
+        return createUntil(r, !isNot);
+      }
+    };
+    return instance;
+  } else {
+    const instance = {
+      toMatch,
+      toBe,
+      toBeTruthy,
+      toBeNull,
+      toBeNaN,
+      toBeUndefined,
+      changed,
+      changedTimes,
+      get not() {
+        return createUntil(r, !isNot);
+      }
+    };
+    return instance;
+  }
+}
+__name(createUntil, "createUntil");
+function until(r) {
+  return createUntil(r);
+}
+__name(until, "until");
+function defaultComparator(value3, othVal) {
+  return value3 === othVal;
+}
+__name(defaultComparator, "defaultComparator");
+function useArrayDifference(...args) {
+  var _a;
+  const list = args[0];
+  const values2 = args[1];
+  let compareFn = (_a = args[2]) != null ? _a : defaultComparator;
+  if (typeof compareFn === "string") {
+    const key = compareFn;
+    compareFn = /* @__PURE__ */ __name((value3, othVal) => value3[key] === othVal[key], "compareFn");
+  }
+  return computed(() => toValue(list).filter((x2) => toValue(values2).findIndex((y2) => compareFn(x2, y2)) === -1));
+}
+__name(useArrayDifference, "useArrayDifference");
+function useArrayEvery(list, fn) {
+  return computed(() => toValue(list).every((element, index2, array) => fn(toValue(element), index2, array)));
+}
+__name(useArrayEvery, "useArrayEvery");
+function useArrayFilter(list, fn) {
+  return computed(() => toValue(list).map((i2) => toValue(i2)).filter(fn));
+}
+__name(useArrayFilter, "useArrayFilter");
+function useArrayFind(list, fn) {
+  return computed(() => toValue(
+    toValue(list).find((element, index2, array) => fn(toValue(element), index2, array))
+  ));
+}
+__name(useArrayFind, "useArrayFind");
+function useArrayFindIndex(list, fn) {
+  return computed(() => toValue(list).findIndex((element, index2, array) => fn(toValue(element), index2, array)));
+}
+__name(useArrayFindIndex, "useArrayFindIndex");
+function findLast(arr, cb) {
+  let index2 = arr.length;
+  while (index2-- > 0) {
+    if (cb(arr[index2], index2, arr))
+      return arr[index2];
+  }
+  return void 0;
+}
+__name(findLast, "findLast");
+function useArrayFindLast(list, fn) {
+  return computed(() => toValue(
+    !Array.prototype.findLast ? findLast(toValue(list), (element, index2, array) => fn(toValue(element), index2, array)) : toValue(list).findLast((element, index2, array) => fn(toValue(element), index2, array))
+  ));
+}
+__name(useArrayFindLast, "useArrayFindLast");
+function isArrayIncludesOptions(obj) {
+  return isObject$3(obj) && containsProp(obj, "formIndex", "comparator");
+}
+__name(isArrayIncludesOptions, "isArrayIncludesOptions");
+function useArrayIncludes(...args) {
+  var _a;
+  const list = args[0];
+  const value3 = args[1];
+  let comparator2 = args[2];
+  let formIndex = 0;
+  if (isArrayIncludesOptions(comparator2)) {
+    formIndex = (_a = comparator2.fromIndex) != null ? _a : 0;
+    comparator2 = comparator2.comparator;
+  }
+  if (typeof comparator2 === "string") {
+    const key = comparator2;
+    comparator2 = /* @__PURE__ */ __name((element, value22) => element[key] === toValue(value22), "comparator");
+  }
+  comparator2 = comparator2 != null ? comparator2 : (element, value22) => element === toValue(value22);
+  return computed(() => toValue(list).slice(formIndex).some((element, index2, array) => comparator2(
+    toValue(element),
+    toValue(value3),
+    index2,
+    toValue(array)
+  )));
+}
+__name(useArrayIncludes, "useArrayIncludes");
+function useArrayJoin(list, separator) {
+  return computed(() => toValue(list).map((i2) => toValue(i2)).join(toValue(separator)));
+}
+__name(useArrayJoin, "useArrayJoin");
+function useArrayMap(list, fn) {
+  return computed(() => toValue(list).map((i2) => toValue(i2)).map(fn));
+}
+__name(useArrayMap, "useArrayMap");
+function useArrayReduce(list, reducer, ...args) {
+  const reduceCallback = /* @__PURE__ */ __name((sum, value3, index2) => reducer(toValue(sum), toValue(value3), index2), "reduceCallback");
+  return computed(() => {
+    const resolved = toValue(list);
+    return args.length ? resolved.reduce(reduceCallback, toValue(args[0])) : resolved.reduce(reduceCallback);
+  });
+}
+__name(useArrayReduce, "useArrayReduce");
+function useArraySome(list, fn) {
+  return computed(() => toValue(list).some((element, index2, array) => fn(toValue(element), index2, array)));
+}
+__name(useArraySome, "useArraySome");
+function uniq(array) {
+  return Array.from(new Set(array));
+}
+__name(uniq, "uniq");
+function uniqueElementsBy(array, fn) {
+  return array.reduce((acc, v2) => {
+    if (!acc.some((x2) => fn(v2, x2, array)))
+      acc.push(v2);
+    return acc;
+  }, []);
+}
+__name(uniqueElementsBy, "uniqueElementsBy");
+function useArrayUnique(list, compareFn) {
+  return computed(() => {
+    const resolvedList = toValue(list).map((element) => toValue(element));
+    return compareFn ? uniqueElementsBy(resolvedList, compareFn) : uniq(resolvedList);
+  });
+}
+__name(useArrayUnique, "useArrayUnique");
+function useCounter(initialValue = 0, options3 = {}) {
+  let _initialValue = unref(initialValue);
+  const count = ref(initialValue);
+  const {
+    max = Number.POSITIVE_INFINITY,
+    min = Number.NEGATIVE_INFINITY
+  } = options3;
+  const inc2 = /* @__PURE__ */ __name((delta2 = 1) => count.value = Math.max(Math.min(max, count.value + delta2), min), "inc");
+  const dec = /* @__PURE__ */ __name((delta2 = 1) => count.value = Math.min(Math.max(min, count.value - delta2), max), "dec");
+  const get2 = /* @__PURE__ */ __name(() => count.value, "get2");
+  const set2 = /* @__PURE__ */ __name((val) => count.value = Math.max(min, Math.min(max, val)), "set2");
+  const reset = /* @__PURE__ */ __name((val = _initialValue) => {
+    _initialValue = val;
+    return set2(val);
+  }, "reset");
+  return { count, inc: inc2, dec, get: get2, set: set2, reset };
+}
+__name(useCounter, "useCounter");
+const REGEX_PARSE = /^(\d{4})[-/]?(\d{1,2})?[-/]?(\d{0,2})[T\s]*(\d{1,2})?:?(\d{1,2})?:?(\d{1,2})?[.:]?(\d+)?$/i;
+const REGEX_FORMAT = /[YMDHhms]o|\[([^\]]+)\]|Y{1,4}|M{1,4}|D{1,2}|d{1,4}|H{1,2}|h{1,2}|a{1,2}|A{1,2}|m{1,2}|s{1,2}|Z{1,2}|SSS/g;
+function defaultMeridiem(hours, minutes, isLowercase, hasPeriod) {
+  let m = hours < 12 ? "AM" : "PM";
+  if (hasPeriod)
+    m = m.split("").reduce((acc, curr) => acc += `${curr}.`, "");
+  return isLowercase ? m.toLowerCase() : m;
+}
+__name(defaultMeridiem, "defaultMeridiem");
+function formatOrdinal(num) {
+  const suffixes = ["th", "st", "nd", "rd"];
+  const v2 = num % 100;
+  return num + (suffixes[(v2 - 20) % 10] || suffixes[v2] || suffixes[0]);
+}
+__name(formatOrdinal, "formatOrdinal");
+function formatDate$1(date, formatStr, options3 = {}) {
+  var _a;
+  const years = date.getFullYear();
+  const month = date.getMonth();
+  const days = date.getDate();
+  const hours = date.getHours();
+  const minutes = date.getMinutes();
+  const seconds = date.getSeconds();
+  const milliseconds = date.getMilliseconds();
+  const day = date.getDay();
+  const meridiem = (_a = options3.customMeridiem) != null ? _a : defaultMeridiem;
+  const matches2 = {
+    Yo: /* @__PURE__ */ __name(() => formatOrdinal(years), "Yo"),
+    YY: /* @__PURE__ */ __name(() => String(years).slice(-2), "YY"),
+    YYYY: /* @__PURE__ */ __name(() => years, "YYYY"),
+    M: /* @__PURE__ */ __name(() => month + 1, "M"),
+    Mo: /* @__PURE__ */ __name(() => formatOrdinal(month + 1), "Mo"),
+    MM: /* @__PURE__ */ __name(() => `${month + 1}`.padStart(2, "0"), "MM"),
+    MMM: /* @__PURE__ */ __name(() => date.toLocaleDateString(toValue(options3.locales), { month: "short" }), "MMM"),
+    MMMM: /* @__PURE__ */ __name(() => date.toLocaleDateString(toValue(options3.locales), { month: "long" }), "MMMM"),
+    D: /* @__PURE__ */ __name(() => String(days), "D"),
+    Do: /* @__PURE__ */ __name(() => formatOrdinal(days), "Do"),
+    DD: /* @__PURE__ */ __name(() => `${days}`.padStart(2, "0"), "DD"),
+    H: /* @__PURE__ */ __name(() => String(hours), "H"),
+    Ho: /* @__PURE__ */ __name(() => formatOrdinal(hours), "Ho"),
+    HH: /* @__PURE__ */ __name(() => `${hours}`.padStart(2, "0"), "HH"),
+    h: /* @__PURE__ */ __name(() => `${hours % 12 || 12}`.padStart(1, "0"), "h"),
+    ho: /* @__PURE__ */ __name(() => formatOrdinal(hours % 12 || 12), "ho"),
+    hh: /* @__PURE__ */ __name(() => `${hours % 12 || 12}`.padStart(2, "0"), "hh"),
+    m: /* @__PURE__ */ __name(() => String(minutes), "m"),
+    mo: /* @__PURE__ */ __name(() => formatOrdinal(minutes), "mo"),
+    mm: /* @__PURE__ */ __name(() => `${minutes}`.padStart(2, "0"), "mm"),
+    s: /* @__PURE__ */ __name(() => String(seconds), "s"),
+    so: /* @__PURE__ */ __name(() => formatOrdinal(seconds), "so"),
+    ss: /* @__PURE__ */ __name(() => `${seconds}`.padStart(2, "0"), "ss"),
+    SSS: /* @__PURE__ */ __name(() => `${milliseconds}`.padStart(3, "0"), "SSS"),
+    d: /* @__PURE__ */ __name(() => day, "d"),
+    dd: /* @__PURE__ */ __name(() => date.toLocaleDateString(toValue(options3.locales), { weekday: "narrow" }), "dd"),
+    ddd: /* @__PURE__ */ __name(() => date.toLocaleDateString(toValue(options3.locales), { weekday: "short" }), "ddd"),
+    dddd: /* @__PURE__ */ __name(() => date.toLocaleDateString(toValue(options3.locales), { weekday: "long" }), "dddd"),
+    A: /* @__PURE__ */ __name(() => meridiem(hours, minutes), "A"),
+    AA: /* @__PURE__ */ __name(() => meridiem(hours, minutes, false, true), "AA"),
+    a: /* @__PURE__ */ __name(() => meridiem(hours, minutes, true), "a"),
+    aa: /* @__PURE__ */ __name(() => meridiem(hours, minutes, true, true), "aa")
+  };
+  return formatStr.replace(REGEX_FORMAT, (match, $1) => {
+    var _a2, _b;
+    return (_b = $1 != null ? $1 : (_a2 = matches2[match]) == null ? void 0 : _a2.call(matches2)) != null ? _b : match;
+  });
+}
+__name(formatDate$1, "formatDate$1");
+function normalizeDate(date) {
+  if (date === null)
+    return new Date(Number.NaN);
+  if (date === void 0)
+    return /* @__PURE__ */ new Date();
+  if (date instanceof Date)
+    return new Date(date);
+  if (typeof date === "string" && !/Z$/i.test(date)) {
+    const d = date.match(REGEX_PARSE);
+    if (d) {
+      const m = d[2] - 1 || 0;
+      const ms = (d[7] || "0").substring(0, 3);
+      return new Date(d[1], m, d[3] || 1, d[4] || 0, d[5] || 0, d[6] || 0, ms);
+    }
+  }
+  return new Date(date);
+}
+__name(normalizeDate, "normalizeDate");
+function useDateFormat(date, formatStr = "HH:mm:ss", options3 = {}) {
+  return computed(() => formatDate$1(normalizeDate(toValue(date)), toValue(formatStr), options3));
+}
+__name(useDateFormat, "useDateFormat");
+function useIntervalFn(cb, interval = 1e3, options3 = {}) {
+  const {
+    immediate = true,
+    immediateCallback = false
+  } = options3;
+  let timer = null;
+  const isActive = ref(false);
+  function clean() {
+    if (timer) {
+      clearInterval(timer);
+      timer = null;
+    }
+  }
+  __name(clean, "clean");
+  function pause() {
+    isActive.value = false;
+    clean();
+  }
+  __name(pause, "pause");
+  function resume() {
+    const intervalValue = toValue(interval);
+    if (intervalValue <= 0)
+      return;
+    isActive.value = true;
+    if (immediateCallback)
+      cb();
+    clean();
+    timer = setInterval(cb, intervalValue);
+  }
+  __name(resume, "resume");
+  if (immediate && isClient)
+    resume();
+  if (isRef(interval) || typeof interval === "function") {
+    const stopWatch = watch(interval, () => {
+      if (isActive.value && isClient)
+        resume();
+    });
+    tryOnScopeDispose(stopWatch);
+  }
+  tryOnScopeDispose(pause);
+  return {
+    isActive,
+    pause,
+    resume
+  };
+}
+__name(useIntervalFn, "useIntervalFn");
+function useInterval(interval = 1e3, options3 = {}) {
+  const {
+    controls: exposeControls = false,
+    immediate = true,
+    callback
+  } = options3;
+  const counter = ref(0);
+  const update2 = /* @__PURE__ */ __name(() => counter.value += 1, "update");
+  const reset = /* @__PURE__ */ __name(() => {
+    counter.value = 0;
+  }, "reset");
+  const controls = useIntervalFn(
+    callback ? () => {
+      update2();
+      callback(counter.value);
+    } : update2,
+    interval,
+    { immediate }
+  );
+  if (exposeControls) {
+    return {
+      counter,
+      reset,
+      ...controls
+    };
+  } else {
+    return counter;
+  }
+}
+__name(useInterval, "useInterval");
+function useLastChanged(source, options3 = {}) {
+  var _a;
+  const ms = ref((_a = options3.initialValue) != null ? _a : null);
+  watch(
+    source,
+    () => ms.value = timestamp(),
+    options3
+  );
+  return ms;
+}
+__name(useLastChanged, "useLastChanged");
+function useTimeoutFn(cb, interval, options3 = {}) {
+  const {
+    immediate = true
+  } = options3;
+  const isPending = ref(false);
+  let timer = null;
+  function clear3() {
+    if (timer) {
+      clearTimeout(timer);
+      timer = null;
+    }
+  }
+  __name(clear3, "clear");
+  function stop2() {
+    isPending.value = false;
+    clear3();
+  }
+  __name(stop2, "stop");
+  function start2(...args) {
+    clear3();
+    isPending.value = true;
+    timer = setTimeout(() => {
+      isPending.value = false;
+      timer = null;
+      cb(...args);
+    }, toValue(interval));
+  }
+  __name(start2, "start");
+  if (immediate) {
+    isPending.value = true;
+    if (isClient)
+      start2();
+  }
+  tryOnScopeDispose(stop2);
+  return {
+    isPending: readonly(isPending),
+    start: start2,
+    stop: stop2
+  };
+}
+__name(useTimeoutFn, "useTimeoutFn");
+function useTimeout(interval = 1e3, options3 = {}) {
+  const {
+    controls: exposeControls = false,
+    callback
+  } = options3;
+  const controls = useTimeoutFn(
+    callback != null ? callback : noop,
+    interval,
+    options3
+  );
+  const ready = computed(() => !controls.isPending.value);
+  if (exposeControls) {
+    return {
+      ready,
+      ...controls
+    };
+  } else {
+    return ready;
+  }
+}
+__name(useTimeout, "useTimeout");
+function useToNumber(value3, options3 = {}) {
+  const {
+    method = "parseFloat",
+    radix,
+    nanToZero
+  } = options3;
+  return computed(() => {
+    let resolved = toValue(value3);
+    if (typeof resolved === "string")
+      resolved = Number[method](resolved, radix);
+    if (nanToZero && Number.isNaN(resolved))
+      resolved = 0;
+    return resolved;
+  });
+}
+__name(useToNumber, "useToNumber");
+function useToString(value3) {
+  return computed(() => `${toValue(value3)}`);
+}
+__name(useToString, "useToString");
+function useToggle(initialValue = false, options3 = {}) {
+  const {
+    truthyValue = true,
+    falsyValue = false
+  } = options3;
+  const valueIsRef = isRef(initialValue);
+  const _value = ref(initialValue);
+  function toggle4(value3) {
+    if (arguments.length) {
+      _value.value = value3;
+      return _value.value;
+    } else {
+      const truthy = toValue(truthyValue);
+      _value.value = _value.value === truthy ? toValue(falsyValue) : truthy;
+      return _value.value;
+    }
+  }
+  __name(toggle4, "toggle");
+  if (valueIsRef)
+    return toggle4;
+  else
+    return [_value, toggle4];
+}
+__name(useToggle, "useToggle");
+function watchArray(source, cb, options3) {
+  let oldList = (options3 == null ? void 0 : options3.immediate) ? [] : [...source instanceof Function ? source() : Array.isArray(source) ? source : toValue(source)];
+  return watch(source, (newList, _2, onCleanup) => {
+    const oldListRemains = Array.from({ length: oldList.length });
+    const added = [];
+    for (const obj of newList) {
+      let found = false;
+      for (let i2 = 0; i2 < oldList.length; i2++) {
+        if (!oldListRemains[i2] && obj === oldList[i2]) {
+          oldListRemains[i2] = true;
+          found = true;
+          break;
+        }
+      }
+      if (!found)
+        added.push(obj);
+    }
+    const removed = oldList.filter((_22, i2) => !oldListRemains[i2]);
+    cb(newList, oldList, added, removed, onCleanup);
+    oldList = [...newList];
+  }, options3);
+}
+__name(watchArray, "watchArray");
+function watchAtMost(source, cb, options3) {
+  const {
+    count,
+    ...watchOptions
+  } = options3;
+  const current = ref(0);
+  const stop2 = watchWithFilter(
+    source,
+    (...args) => {
+      current.value += 1;
+      if (current.value >= toValue(count))
+        nextTick(() => stop2());
+      cb(...args);
+    },
+    watchOptions
+  );
+  return { count: current, stop: stop2 };
+}
+__name(watchAtMost, "watchAtMost");
+function watchDebounced(source, cb, options3 = {}) {
+  const {
+    debounce = 0,
+    maxWait = void 0,
+    ...watchOptions
+  } = options3;
+  return watchWithFilter(
+    source,
+    cb,
+    {
+      ...watchOptions,
+      eventFilter: debounceFilter(debounce, { maxWait })
+    }
+  );
+}
+__name(watchDebounced, "watchDebounced");
+function watchDeep(source, cb, options3) {
+  return watch(
+    source,
+    cb,
+    {
+      ...options3,
+      deep: true
+    }
+  );
+}
+__name(watchDeep, "watchDeep");
+function watchIgnorable(source, cb, options3 = {}) {
+  const {
+    eventFilter = bypassFilter,
+    ...watchOptions
+  } = options3;
+  const filteredCb = createFilterWrapper(
+    eventFilter,
+    cb
+  );
+  let ignoreUpdates;
+  let ignorePrevAsyncUpdates;
+  let stop2;
+  if (watchOptions.flush === "sync") {
+    const ignore = ref(false);
+    ignorePrevAsyncUpdates = /* @__PURE__ */ __name(() => {
+    }, "ignorePrevAsyncUpdates");
+    ignoreUpdates = /* @__PURE__ */ __name((updater) => {
+      ignore.value = true;
+      updater();
+      ignore.value = false;
+    }, "ignoreUpdates");
+    stop2 = watch(
+      source,
+      (...args) => {
+        if (!ignore.value)
+          filteredCb(...args);
+      },
+      watchOptions
+    );
+  } else {
+    const disposables = [];
+    const ignoreCounter = ref(0);
+    const syncCounter = ref(0);
+    ignorePrevAsyncUpdates = /* @__PURE__ */ __name(() => {
+      ignoreCounter.value = syncCounter.value;
+    }, "ignorePrevAsyncUpdates");
+    disposables.push(
+      watch(
+        source,
+        () => {
+          syncCounter.value++;
+        },
+        { ...watchOptions, flush: "sync" }
+      )
+    );
+    ignoreUpdates = /* @__PURE__ */ __name((updater) => {
+      const syncCounterPrev = syncCounter.value;
+      updater();
+      ignoreCounter.value += syncCounter.value - syncCounterPrev;
+    }, "ignoreUpdates");
+    disposables.push(
+      watch(
+        source,
+        (...args) => {
+          const ignore = ignoreCounter.value > 0 && ignoreCounter.value === syncCounter.value;
+          ignoreCounter.value = 0;
+          syncCounter.value = 0;
+          if (ignore)
+            return;
+          filteredCb(...args);
+        },
+        watchOptions
+      )
+    );
+    stop2 = /* @__PURE__ */ __name(() => {
+      disposables.forEach((fn) => fn());
+    }, "stop");
+  }
+  return { stop: stop2, ignoreUpdates, ignorePrevAsyncUpdates };
+}
+__name(watchIgnorable, "watchIgnorable");
+function watchImmediate(source, cb, options3) {
+  return watch(
+    source,
+    cb,
+    {
+      ...options3,
+      immediate: true
+    }
+  );
+}
+__name(watchImmediate, "watchImmediate");
+function watchOnce(source, cb, options3) {
+  const stop2 = watch(source, (...args) => {
+    nextTick(() => stop2());
+    return cb(...args);
+  }, options3);
+  return stop2;
+}
+__name(watchOnce, "watchOnce");
+function watchThrottled(source, cb, options3 = {}) {
+  const {
+    throttle: throttle2 = 0,
+    trailing = true,
+    leading = true,
+    ...watchOptions
+  } = options3;
+  return watchWithFilter(
+    source,
+    cb,
+    {
+      ...watchOptions,
+      eventFilter: throttleFilter(throttle2, trailing, leading)
+    }
+  );
+}
+__name(watchThrottled, "watchThrottled");
+function watchTriggerable(source, cb, options3 = {}) {
+  let cleanupFn;
+  function onEffect() {
+    if (!cleanupFn)
+      return;
+    const fn = cleanupFn;
+    cleanupFn = void 0;
+    fn();
+  }
+  __name(onEffect, "onEffect");
+  function onCleanup(callback) {
+    cleanupFn = callback;
+  }
+  __name(onCleanup, "onCleanup");
+  const _cb = /* @__PURE__ */ __name((value3, oldValue) => {
+    onEffect();
+    return cb(value3, oldValue, onCleanup);
+  }, "_cb");
+  const res = watchIgnorable(source, _cb, options3);
+  const { ignoreUpdates } = res;
+  const trigger2 = /* @__PURE__ */ __name(() => {
+    let res2;
+    ignoreUpdates(() => {
+      res2 = _cb(getWatchSources(source), getOldValue(source));
+    });
+    return res2;
+  }, "trigger");
+  return {
+    ...res,
+    trigger: trigger2
+  };
+}
+__name(watchTriggerable, "watchTriggerable");
+function getWatchSources(sources) {
+  if (isReactive(sources))
+    return sources;
+  if (Array.isArray(sources))
+    return sources.map((item2) => toValue(item2));
+  return toValue(sources);
+}
+__name(getWatchSources, "getWatchSources");
+function getOldValue(source) {
+  return Array.isArray(source) ? source.map(() => void 0) : void 0;
+}
+__name(getOldValue, "getOldValue");
+function whenever(source, cb, options3) {
+  const stop2 = watch(
+    source,
+    (v2, ov, onInvalidate) => {
+      if (v2) {
+        if (options3 == null ? void 0 : options3.once)
+          nextTick(() => stop2());
+        cb(v2, ov, onInvalidate);
+      }
+    },
+    {
+      ...options3,
+      once: false
+    }
+  );
+  return stop2;
+}
+__name(whenever, "whenever");
+var isVue2 = false;
+var isVue3 = true;
+var Vue2 = void 0;
+function install() {
+}
+__name(install, "install");
+function set(target, key, val) {
+  if (Array.isArray(target)) {
+    target.length = Math.max(target.length, key);
+    target.splice(key, 1, val);
+    return val;
+  }
+  target[key] = val;
+  return val;
+}
+__name(set, "set");
+function del(target, key) {
+  if (Array.isArray(target)) {
+    target.splice(key, 1);
+    return;
+  }
+  delete target[key];
+}
+__name(del, "del");
+function computedAsync(evaluationCallback, initialState, optionsOrRef) {
+  let options3;
+  if (isRef(optionsOrRef)) {
+    options3 = {
+      evaluating: optionsOrRef
+    };
+  } else {
+    options3 = optionsOrRef || {};
+  }
+  const {
+    lazy = false,
+    evaluating = void 0,
+    shallow = true,
+    onError = noop
+  } = options3;
+  const started = ref(!lazy);
+  const current = shallow ? shallowRef(initialState) : ref(initialState);
+  let counter = 0;
+  watchEffect(async (onInvalidate) => {
+    if (!started.value)
+      return;
+    counter++;
+    const counterAtBeginning = counter;
+    let hasFinished = false;
+    if (evaluating) {
+      Promise.resolve().then(() => {
+        evaluating.value = true;
+      });
+    }
+    try {
+      const result = await evaluationCallback((cancelCallback) => {
+        onInvalidate(() => {
+          if (evaluating)
+            evaluating.value = false;
+          if (!hasFinished)
+            cancelCallback();
+        });
+      });
+      if (counterAtBeginning === counter)
+        current.value = result;
+    } catch (e) {
+      onError(e);
+    } finally {
+      if (evaluating && counterAtBeginning === counter)
+        evaluating.value = false;
+      hasFinished = true;
+    }
+  });
+  if (lazy) {
+    return computed(() => {
+      started.value = true;
+      return current.value;
+    });
+  } else {
+    return current;
+  }
+}
+__name(computedAsync, "computedAsync");
+function computedInject(key, options3, defaultSource, treatDefaultAsFactory) {
+  let source = inject(key);
+  if (defaultSource)
+    source = inject(key, defaultSource);
+  if (treatDefaultAsFactory)
+    source = inject(key, defaultSource, treatDefaultAsFactory);
+  if (typeof options3 === "function") {
+    return computed((ctx) => options3(source, ctx));
+  } else {
+    return computed({
+      get: /* @__PURE__ */ __name((ctx) => options3.get(source, ctx), "get"),
+      set: options3.set
+    });
+  }
+}
+__name(computedInject, "computedInject");
+function createReusableTemplate(options3 = {}) {
+  if (!isVue3 && !version.startsWith("2.7.")) {
+    if (false)
+      throw new Error("[VueUse] createReusableTemplate only works in Vue 2.7 or above.");
+    return;
+  }
+  const {
+    inheritAttrs = true
+  } = options3;
+  const render2 = shallowRef();
+  const define = /* @__PURE__ */ defineComponent({
+    setup(_2, { slots }) {
+      return () => {
+        render2.value = slots.default;
+      };
+    }
+  });
+  const reuse = /* @__PURE__ */ defineComponent({
+    inheritAttrs,
+    setup(_2, { attrs: attrs3, slots }) {
+      return () => {
+        var _a;
+        if (!render2.value && false)
+          throw new Error("[VueUse] Failed to find the definition of reusable template");
+        const vnode = (_a = render2.value) == null ? void 0 : _a.call(render2, { ...keysToCamelKebabCase(attrs3), $slots: slots });
+        return inheritAttrs && (vnode == null ? void 0 : vnode.length) === 1 ? vnode[0] : vnode;
+      };
+    }
+  });
+  return makeDestructurable(
+    { define, reuse },
+    [define, reuse]
+  );
+}
+__name(createReusableTemplate, "createReusableTemplate");
+function keysToCamelKebabCase(obj) {
+  const newObj = {};
+  for (const key in obj)
+    newObj[camelize(key)] = obj[key];
+  return newObj;
+}
+__name(keysToCamelKebabCase, "keysToCamelKebabCase");
+function createTemplatePromise(options3 = {}) {
+  if (!isVue3) {
+    if (false)
+      throw new Error("[VueUse] createTemplatePromise only works in Vue 3 or above.");
+    return;
+  }
+  let index2 = 0;
+  const instances = ref([]);
+  function create2(...args) {
+    const props = shallowReactive({
+      key: index2++,
+      args,
+      promise: void 0,
+      resolve: /* @__PURE__ */ __name(() => {
+      }, "resolve"),
+      reject: /* @__PURE__ */ __name(() => {
+      }, "reject"),
+      isResolving: false,
+      options: options3
+    });
+    instances.value.push(props);
+    props.promise = new Promise((_resolve, _reject) => {
+      props.resolve = (v2) => {
+        props.isResolving = true;
+        return _resolve(v2);
+      };
+      props.reject = _reject;
+    }).finally(() => {
+      props.promise = void 0;
+      const index22 = instances.value.indexOf(props);
+      if (index22 !== -1)
+        instances.value.splice(index22, 1);
+    });
+    return props.promise;
+  }
+  __name(create2, "create");
+  function start2(...args) {
+    if (options3.singleton && instances.value.length > 0)
+      return instances.value[0].promise;
+    return create2(...args);
+  }
+  __name(start2, "start");
+  const component = /* @__PURE__ */ defineComponent((_2, { slots }) => {
+    const renderList2 = /* @__PURE__ */ __name(() => instances.value.map((props) => {
+      var _a;
+      return h(Fragment, { key: props.key }, (_a = slots.default) == null ? void 0 : _a.call(slots, props));
+    }), "renderList");
+    if (options3.transition)
+      return () => h(TransitionGroup, options3.transition, renderList2);
+    return renderList2;
+  });
+  component.start = start2;
+  return component;
+}
+__name(createTemplatePromise, "createTemplatePromise");
+function createUnrefFn(fn) {
+  return function(...args) {
+    return fn.apply(this, args.map((i2) => toValue(i2)));
+  };
+}
+__name(createUnrefFn, "createUnrefFn");
+function unrefElement(elRef) {
+  var _a;
+  const plain = toValue(elRef);
+  return (_a = plain == null ? void 0 : plain.$el) != null ? _a : plain;
+}
+__name(unrefElement, "unrefElement");
+const defaultWindow = isClient ? window : void 0;
+const defaultDocument = isClient ? window.document : void 0;
+const defaultNavigator = isClient ? window.navigator : void 0;
+const defaultLocation = isClient ? window.location : void 0;
+function useEventListener(...args) {
+  let target;
+  let events2;
+  let listeners;
+  let options3;
+  if (typeof args[0] === "string" || Array.isArray(args[0])) {
+    [events2, listeners, options3] = args;
+    target = defaultWindow;
+  } else {
+    [target, events2, listeners, options3] = args;
+  }
+  if (!target)
+    return noop;
+  if (!Array.isArray(events2))
+    events2 = [events2];
+  if (!Array.isArray(listeners))
+    listeners = [listeners];
+  const cleanups = [];
+  const cleanup = /* @__PURE__ */ __name(() => {
+    cleanups.forEach((fn) => fn());
+    cleanups.length = 0;
+  }, "cleanup");
+  const register3 = /* @__PURE__ */ __name((el, event2, listener, options22) => {
+    el.addEventListener(event2, listener, options22);
+    return () => el.removeEventListener(event2, listener, options22);
+  }, "register");
+  const stopWatch = watch(
+    () => [unrefElement(target), toValue(options3)],
+    ([el, options22]) => {
+      cleanup();
+      if (!el)
+        return;
+      const optionsClone = isObject$3(options22) ? { ...options22 } : options22;
+      cleanups.push(
+        ...events2.flatMap((event2) => {
+          return listeners.map((listener) => register3(el, event2, listener, optionsClone));
+        })
+      );
+    },
+    { immediate: true, flush: "post" }
+  );
+  const stop2 = /* @__PURE__ */ __name(() => {
+    stopWatch();
+    cleanup();
+  }, "stop");
+  tryOnScopeDispose(stop2);
+  return stop2;
+}
+__name(useEventListener, "useEventListener");
+let _iOSWorkaround = false;
+function onClickOutside(target, handler6, options3 = {}) {
+  const { window: window2 = defaultWindow, ignore = [], capture = true, detectIframe = false } = options3;
+  if (!window2)
+    return noop;
+  if (isIOS && !_iOSWorkaround) {
+    _iOSWorkaround = true;
+    Array.from(window2.document.body.children).forEach((el) => el.addEventListener("click", noop));
+    window2.document.documentElement.addEventListener("click", noop);
+  }
+  let shouldListen = true;
+  const shouldIgnore = /* @__PURE__ */ __name((event2) => {
+    return ignore.some((target2) => {
+      if (typeof target2 === "string") {
+        return Array.from(window2.document.querySelectorAll(target2)).some((el) => el === event2.target || event2.composedPath().includes(el));
+      } else {
+        const el = unrefElement(target2);
+        return el && (event2.target === el || event2.composedPath().includes(el));
+      }
+    });
+  }, "shouldIgnore");
+  const listener = /* @__PURE__ */ __name((event2) => {
+    const el = unrefElement(target);
+    if (!el || el === event2.target || event2.composedPath().includes(el))
+      return;
+    if (event2.detail === 0)
+      shouldListen = !shouldIgnore(event2);
+    if (!shouldListen) {
+      shouldListen = true;
+      return;
+    }
+    handler6(event2);
+  }, "listener");
+  const cleanup = [
+    useEventListener(window2, "click", listener, { passive: true, capture }),
+    useEventListener(window2, "pointerdown", (e) => {
+      const el = unrefElement(target);
+      shouldListen = !shouldIgnore(e) && !!(el && !e.composedPath().includes(el));
+    }, { passive: true }),
+    detectIframe && useEventListener(window2, "blur", (event2) => {
+      setTimeout(() => {
+        var _a;
+        const el = unrefElement(target);
+        if (((_a = window2.document.activeElement) == null ? void 0 : _a.tagName) === "IFRAME" && !(el == null ? void 0 : el.contains(window2.document.activeElement))) {
+          handler6(event2);
+        }
+      }, 0);
+    })
+  ].filter(Boolean);
+  const stop2 = /* @__PURE__ */ __name(() => cleanup.forEach((fn) => fn()), "stop");
+  return stop2;
+}
+__name(onClickOutside, "onClickOutside");
+function createKeyPredicate(keyFilter) {
+  if (typeof keyFilter === "function")
+    return keyFilter;
+  else if (typeof keyFilter === "string")
+    return (event2) => event2.key === keyFilter;
+  else if (Array.isArray(keyFilter))
+    return (event2) => keyFilter.includes(event2.key);
+  return () => true;
+}
+__name(createKeyPredicate, "createKeyPredicate");
+function onKeyStroke(...args) {
+  let key;
+  let handler6;
+  let options3 = {};
+  if (args.length === 3) {
+    key = args[0];
+    handler6 = args[1];
+    options3 = args[2];
+  } else if (args.length === 2) {
+    if (typeof args[1] === "object") {
+      key = true;
+      handler6 = args[0];
+      options3 = args[1];
+    } else {
+      key = args[0];
+      handler6 = args[1];
+    }
+  } else {
+    key = true;
+    handler6 = args[0];
+  }
+  const {
+    target = defaultWindow,
+    eventName = "keydown",
+    passive = false,
+    dedupe = false
+  } = options3;
+  const predicate = createKeyPredicate(key);
+  const listener = /* @__PURE__ */ __name((e) => {
+    if (e.repeat && toValue(dedupe))
+      return;
+    if (predicate(e))
+      handler6(e);
+  }, "listener");
+  return useEventListener(target, eventName, listener, passive);
+}
+__name(onKeyStroke, "onKeyStroke");
+function onKeyDown(key, handler6, options3 = {}) {
+  return onKeyStroke(key, handler6, { ...options3, eventName: "keydown" });
+}
+__name(onKeyDown, "onKeyDown");
+function onKeyPressed(key, handler6, options3 = {}) {
+  return onKeyStroke(key, handler6, { ...options3, eventName: "keypress" });
+}
+__name(onKeyPressed, "onKeyPressed");
+function onKeyUp(key, handler6, options3 = {}) {
+  return onKeyStroke(key, handler6, { ...options3, eventName: "keyup" });
+}
+__name(onKeyUp, "onKeyUp");
+const DEFAULT_DELAY = 500;
+const DEFAULT_THRESHOLD = 10;
+function onLongPress(target, handler6, options3) {
+  var _a, _b;
+  const elementRef2 = computed(() => unrefElement(target));
+  let timeout;
+  let posStart;
+  let startTimestamp;
+  let hasLongPressed = false;
+  function clear3() {
+    if (timeout) {
+      clearTimeout(timeout);
+      timeout = void 0;
+    }
+    posStart = void 0;
+    startTimestamp = void 0;
+    hasLongPressed = false;
+  }
+  __name(clear3, "clear");
+  function onRelease(ev) {
+    var _a2, _b2, _c;
+    const [_startTimestamp, _posStart, _hasLongPressed] = [startTimestamp, posStart, hasLongPressed];
+    clear3();
+    if (!(options3 == null ? void 0 : options3.onMouseUp) || !_posStart || !_startTimestamp)
+      return;
+    if (((_a2 = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _a2.self) && ev.target !== elementRef2.value)
+      return;
+    if ((_b2 = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _b2.prevent)
+      ev.preventDefault();
+    if ((_c = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _c.stop)
+      ev.stopPropagation();
+    const dx = ev.x - _posStart.x;
+    const dy = ev.y - _posStart.y;
+    const distance2 = Math.sqrt(dx * dx + dy * dy);
+    options3.onMouseUp(ev.timeStamp - _startTimestamp, distance2, _hasLongPressed);
+  }
+  __name(onRelease, "onRelease");
+  function onDown(ev) {
+    var _a2, _b2, _c, _d;
+    if (((_a2 = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _a2.self) && ev.target !== elementRef2.value)
+      return;
+    clear3();
+    if ((_b2 = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _b2.prevent)
+      ev.preventDefault();
+    if ((_c = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _c.stop)
+      ev.stopPropagation();
+    posStart = {
+      x: ev.x,
+      y: ev.y
+    };
+    startTimestamp = ev.timeStamp;
+    timeout = setTimeout(
+      () => {
+        hasLongPressed = true;
+        handler6(ev);
+      },
+      (_d = options3 == null ? void 0 : options3.delay) != null ? _d : DEFAULT_DELAY
+    );
+  }
+  __name(onDown, "onDown");
+  function onMove(ev) {
+    var _a2, _b2, _c, _d;
+    if (((_a2 = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _a2.self) && ev.target !== elementRef2.value)
+      return;
+    if (!posStart || (options3 == null ? void 0 : options3.distanceThreshold) === false)
+      return;
+    if ((_b2 = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _b2.prevent)
+      ev.preventDefault();
+    if ((_c = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _c.stop)
+      ev.stopPropagation();
+    const dx = ev.x - posStart.x;
+    const dy = ev.y - posStart.y;
+    const distance2 = Math.sqrt(dx * dx + dy * dy);
+    if (distance2 >= ((_d = options3 == null ? void 0 : options3.distanceThreshold) != null ? _d : DEFAULT_THRESHOLD))
+      clear3();
+  }
+  __name(onMove, "onMove");
+  const listenerOptions = {
+    capture: (_a = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _a.capture,
+    once: (_b = options3 == null ? void 0 : options3.modifiers) == null ? void 0 : _b.once
+  };
+  const cleanup = [
+    useEventListener(elementRef2, "pointerdown", onDown, listenerOptions),
+    useEventListener(elementRef2, "pointermove", onMove, listenerOptions),
+    useEventListener(elementRef2, ["pointerup", "pointerleave"], onRelease, listenerOptions)
+  ];
+  const stop2 = /* @__PURE__ */ __name(() => cleanup.forEach((fn) => fn()), "stop");
+  return stop2;
+}
+__name(onLongPress, "onLongPress");
+function isFocusedElementEditable() {
+  const { activeElement, body } = document;
+  if (!activeElement)
+    return false;
+  if (activeElement === body)
+    return false;
+  switch (activeElement.tagName) {
+    case "INPUT":
+    case "TEXTAREA":
+      return true;
+  }
+  return activeElement.hasAttribute("contenteditable");
+}
+__name(isFocusedElementEditable, "isFocusedElementEditable");
+function isTypedCharValid({
+  keyCode,
+  metaKey,
+  ctrlKey,
+  altKey
+}) {
+  if (metaKey || ctrlKey || altKey)
+    return false;
+  if (keyCode >= 48 && keyCode <= 57)
+    return true;
+  if (keyCode >= 65 && keyCode <= 90)
+    return true;
+  if (keyCode >= 97 && keyCode <= 122)
+    return true;
+  return false;
+}
+__name(isTypedCharValid, "isTypedCharValid");
+function onStartTyping(callback, options3 = {}) {
+  const { document: document2 = defaultDocument } = options3;
+  const keydown = /* @__PURE__ */ __name((event2) => {
+    if (!isFocusedElementEditable() && isTypedCharValid(event2)) {
+      callback(event2);
+    }
+  }, "keydown");
+  if (document2)
+    useEventListener(document2, "keydown", keydown, { passive: true });
+}
+__name(onStartTyping, "onStartTyping");
+function templateRef(key, initialValue = null) {
+  const instance = getCurrentInstance();
+  let _trigger = /* @__PURE__ */ __name(() => {
+  }, "_trigger");
+  const element = customRef((track2, trigger2) => {
+    _trigger = trigger2;
+    return {
+      get() {
+        var _a, _b;
+        track2();
+        return (_b = (_a = instance == null ? void 0 : instance.proxy) == null ? void 0 : _a.$refs[key]) != null ? _b : initialValue;
+      },
+      set() {
+      }
+    };
+  });
+  tryOnMounted(_trigger);
+  onUpdated(_trigger);
+  return element;
+}
+__name(templateRef, "templateRef");
+function useMounted() {
+  const isMounted = ref(false);
+  const instance = getCurrentInstance();
+  if (instance) {
+    onMounted(() => {
+      isMounted.value = true;
+    }, isVue2 ? void 0 : instance);
+  }
+  return isMounted;
+}
+__name(useMounted, "useMounted");
+function useSupported(callback) {
+  const isMounted = useMounted();
+  return computed(() => {
+    isMounted.value;
+    return Boolean(callback());
+  });
+}
+__name(useSupported, "useSupported");
+function useMutationObserver(target, callback, options3 = {}) {
+  const { window: window2 = defaultWindow, ...mutationOptions } = options3;
+  let observer;
+  const isSupported2 = useSupported(() => window2 && "MutationObserver" in window2);
+  const cleanup = /* @__PURE__ */ __name(() => {
+    if (observer) {
+      observer.disconnect();
+      observer = void 0;
+    }
+  }, "cleanup");
+  const targets = computed(() => {
+    const value3 = toValue(target);
+    const items2 = (Array.isArray(value3) ? value3 : [value3]).map(unrefElement).filter(notNullish);
+    return new Set(items2);
+  });
+  const stopWatch = watch(
+    () => targets.value,
+    (targets2) => {
+      cleanup();
+      if (isSupported2.value && targets2.size) {
+        observer = new MutationObserver(callback);
+        targets2.forEach((el) => observer.observe(el, mutationOptions));
+      }
+    },
+    { immediate: true, flush: "post" }
+  );
+  const takeRecords = /* @__PURE__ */ __name(() => {
+    return observer == null ? void 0 : observer.takeRecords();
+  }, "takeRecords");
+  const stop2 = /* @__PURE__ */ __name(() => {
+    stopWatch();
+    cleanup();
+  }, "stop");
+  tryOnScopeDispose(stop2);
+  return {
+    isSupported: isSupported2,
+    stop: stop2,
+    takeRecords
+  };
+}
+__name(useMutationObserver, "useMutationObserver");
+function useActiveElement(options3 = {}) {
+  var _a;
+  const {
+    window: window2 = defaultWindow,
+    deep = true,
+    triggerOnRemoval = false
+  } = options3;
+  const document2 = (_a = options3.document) != null ? _a : window2 == null ? void 0 : window2.document;
+  const getDeepActiveElement = /* @__PURE__ */ __name(() => {
+    var _a2;
+    let element = document2 == null ? void 0 : document2.activeElement;
+    if (deep) {
+      while (element == null ? void 0 : element.shadowRoot)
+        element = (_a2 = element == null ? void 0 : element.shadowRoot) == null ? void 0 : _a2.activeElement;
+    }
+    return element;
+  }, "getDeepActiveElement");
+  const activeElement = ref();
+  const trigger2 = /* @__PURE__ */ __name(() => {
+    activeElement.value = getDeepActiveElement();
+  }, "trigger");
+  if (window2) {
+    useEventListener(window2, "blur", (event2) => {
+      if (event2.relatedTarget !== null)
+        return;
+      trigger2();
+    }, true);
+    useEventListener(window2, "focus", trigger2, true);
+  }
+  if (triggerOnRemoval) {
+    useMutationObserver(document2, (mutations) => {
+      mutations.filter((m) => m.removedNodes.length).map((n) => Array.from(n.removedNodes)).flat().forEach((node3) => {
+        if (node3 === activeElement.value)
+          trigger2();
+      });
+    }, {
+      childList: true,
+      subtree: true
+    });
+  }
+  trigger2();
+  return activeElement;
+}
+__name(useActiveElement, "useActiveElement");
+function useRafFn(fn, options3 = {}) {
+  const {
+    immediate = true,
+    fpsLimit = void 0,
+    window: window2 = defaultWindow
+  } = options3;
+  const isActive = ref(false);
+  const intervalLimit = fpsLimit ? 1e3 / fpsLimit : null;
+  let previousFrameTimestamp = 0;
+  let rafId = null;
+  function loop(timestamp2) {
+    if (!isActive.value || !window2)
+      return;
+    if (!previousFrameTimestamp)
+      previousFrameTimestamp = timestamp2;
+    const delta2 = timestamp2 - previousFrameTimestamp;
+    if (intervalLimit && delta2 < intervalLimit) {
+      rafId = window2.requestAnimationFrame(loop);
+      return;
+    }
+    previousFrameTimestamp = timestamp2;
+    fn({ delta: delta2, timestamp: timestamp2 });
+    rafId = window2.requestAnimationFrame(loop);
+  }
+  __name(loop, "loop");
+  function resume() {
+    if (!isActive.value && window2) {
+      isActive.value = true;
+      previousFrameTimestamp = 0;
+      rafId = window2.requestAnimationFrame(loop);
+    }
+  }
+  __name(resume, "resume");
+  function pause() {
+    isActive.value = false;
+    if (rafId != null && window2) {
+      window2.cancelAnimationFrame(rafId);
+      rafId = null;
+    }
+  }
+  __name(pause, "pause");
+  if (immediate)
+    resume();
+  tryOnScopeDispose(pause);
+  return {
+    isActive: readonly(isActive),
+    pause,
+    resume
+  };
+}
+__name(useRafFn, "useRafFn");
+function useAnimate(target, keyframes, options3) {
+  let config;
+  let animateOptions;
+  if (isObject$3(options3)) {
+    config = options3;
+    animateOptions = objectOmit(options3, ["window", "immediate", "commitStyles", "persist", "onReady", "onError"]);
+  } else {
+    config = { duration: options3 };
+    animateOptions = options3;
+  }
+  const {
+    window: window2 = defaultWindow,
+    immediate = true,
+    commitStyles,
+    persist,
+    playbackRate: _playbackRate = 1,
+    onReady,
+    onError = /* @__PURE__ */ __name((e) => {
+      console.error(e);
+    }, "onError")
+  } = config;
+  const isSupported2 = useSupported(() => window2 && HTMLElement && "animate" in HTMLElement.prototype);
+  const animate = shallowRef(void 0);
+  const store = shallowReactive({
+    startTime: null,
+    currentTime: null,
+    timeline: null,
+    playbackRate: _playbackRate,
+    pending: false,
+    playState: immediate ? "idle" : "paused",
+    replaceState: "active"
+  });
+  const pending = computed(() => store.pending);
+  const playState = computed(() => store.playState);
+  const replaceState = computed(() => store.replaceState);
+  const startTime = computed({
+    get() {
+      return store.startTime;
+    },
+    set(value3) {
+      store.startTime = value3;
+      if (animate.value)
+        animate.value.startTime = value3;
+    }
+  });
+  const currentTime = computed({
+    get() {
+      return store.currentTime;
+    },
+    set(value3) {
+      store.currentTime = value3;
+      if (animate.value) {
+        animate.value.currentTime = value3;
+        syncResume();
+      }
+    }
+  });
+  const timeline = computed({
+    get() {
+      return store.timeline;
+    },
+    set(value3) {
+      store.timeline = value3;
+      if (animate.value)
+        animate.value.timeline = value3;
+    }
+  });
+  const playbackRate = computed({
+    get() {
+      return store.playbackRate;
+    },
+    set(value3) {
+      store.playbackRate = value3;
+      if (animate.value)
+        animate.value.playbackRate = value3;
+    }
+  });
+  const play = /* @__PURE__ */ __name(() => {
+    if (animate.value) {
+      try {
+        animate.value.play();
+        syncResume();
+      } catch (e) {
+        syncPause();
+        onError(e);
+      }
+    } else {
+      update2();
+    }
+  }, "play");
+  const pause = /* @__PURE__ */ __name(() => {
+    var _a;
+    try {
+      (_a = animate.value) == null ? void 0 : _a.pause();
+      syncPause();
+    } catch (e) {
+      onError(e);
+    }
+  }, "pause");
+  const reverse = /* @__PURE__ */ __name(() => {
+    var _a;
+    if (!animate.value)
+      update2();
+    try {
+      (_a = animate.value) == null ? void 0 : _a.reverse();
+      syncResume();
+    } catch (e) {
+      syncPause();
+      onError(e);
+    }
+  }, "reverse");
+  const finish = /* @__PURE__ */ __name(() => {
+    var _a;
+    try {
+      (_a = animate.value) == null ? void 0 : _a.finish();
+      syncPause();
+    } catch (e) {
+      onError(e);
+    }
+  }, "finish");
+  const cancel = /* @__PURE__ */ __name(() => {
+    var _a;
+    try {
+      (_a = animate.value) == null ? void 0 : _a.cancel();
+      syncPause();
+    } catch (e) {
+      onError(e);
+    }
+  }, "cancel");
+  watch(() => unrefElement(target), (el) => {
+    if (el)
+      update2();
+  });
+  watch(() => keyframes, (value3) => {
+    if (animate.value)
+      update2();
+    if (!unrefElement(target) && animate.value) {
+      animate.value.effect = new KeyframeEffect(
+        unrefElement(target),
+        toValue(value3),
+        animateOptions
+      );
+    }
+  }, { deep: true });
+  tryOnMounted(() => update2(true), false);
+  tryOnScopeDispose(cancel);
+  function update2(init2) {
+    const el = unrefElement(target);
+    if (!isSupported2.value || !el)
+      return;
+    if (!animate.value)
+      animate.value = el.animate(toValue(keyframes), animateOptions);
+    if (persist)
+      animate.value.persist();
+    if (_playbackRate !== 1)
+      animate.value.playbackRate = _playbackRate;
+    if (init2 && !immediate)
+      animate.value.pause();
+    else
+      syncResume();
+    onReady == null ? void 0 : onReady(animate.value);
+  }
+  __name(update2, "update");
+  useEventListener(animate, ["cancel", "finish", "remove"], syncPause);
+  useEventListener(animate, "finish", () => {
+    var _a;
+    if (commitStyles)
+      (_a = animate.value) == null ? void 0 : _a.commitStyles();
+  });
+  const { resume: resumeRef, pause: pauseRef } = useRafFn(() => {
+    if (!animate.value)
+      return;
+    store.pending = animate.value.pending;
+    store.playState = animate.value.playState;
+    store.replaceState = animate.value.replaceState;
+    store.startTime = animate.value.startTime;
+    store.currentTime = animate.value.currentTime;
+    store.timeline = animate.value.timeline;
+    store.playbackRate = animate.value.playbackRate;
+  }, { immediate: false });
+  function syncResume() {
+    if (isSupported2.value)
+      resumeRef();
+  }
+  __name(syncResume, "syncResume");
+  function syncPause() {
+    if (isSupported2.value && window2)
+      window2.requestAnimationFrame(pauseRef);
+  }
+  __name(syncPause, "syncPause");
+  return {
+    isSupported: isSupported2,
+    animate,
+    // actions
+    play,
+    pause,
+    reverse,
+    finish,
+    cancel,
+    // state
+    pending,
+    playState,
+    replaceState,
+    startTime,
+    currentTime,
+    timeline,
+    playbackRate
+  };
+}
+__name(useAnimate, "useAnimate");
+function useAsyncQueue(tasks, options3) {
+  const {
+    interrupt = true,
+    onError = noop,
+    onFinished = noop,
+    signal
+  } = options3 || {};
+  const promiseState = {
+    aborted: "aborted",
+    fulfilled: "fulfilled",
+    pending: "pending",
+    rejected: "rejected"
+  };
+  const initialResult = Array.from(Array.from({ length: tasks.length }), () => ({ state: promiseState.pending, data: null }));
+  const result = reactive(initialResult);
+  const activeIndex2 = ref(-1);
+  if (!tasks || tasks.length === 0) {
+    onFinished();
+    return {
+      activeIndex: activeIndex2,
+      result
+    };
+  }
+  function updateResult(state, res) {
+    activeIndex2.value++;
+    result[activeIndex2.value].data = res;
+    result[activeIndex2.value].state = state;
+  }
+  __name(updateResult, "updateResult");
+  tasks.reduce((prev2, curr) => {
+    return prev2.then((prevRes) => {
+      var _a;
+      if (signal == null ? void 0 : signal.aborted) {
+        updateResult(promiseState.aborted, new Error("aborted"));
+        return;
+      }
+      if (((_a = result[activeIndex2.value]) == null ? void 0 : _a.state) === promiseState.rejected && interrupt) {
+        onFinished();
+        return;
+      }
+      const done = curr(prevRes).then((currentRes) => {
+        updateResult(promiseState.fulfilled, currentRes);
+        if (activeIndex2.value === tasks.length - 1)
+          onFinished();
+        return currentRes;
+      });
+      if (!signal)
+        return done;
+      return Promise.race([done, whenAborted(signal)]);
+    }).catch((e) => {
+      if (signal == null ? void 0 : signal.aborted) {
+        updateResult(promiseState.aborted, e);
+        return e;
+      }
+      updateResult(promiseState.rejected, e);
+      onError();
+      return e;
+    });
+  }, Promise.resolve());
+  return {
+    activeIndex: activeIndex2,
+    result
+  };
+}
+__name(useAsyncQueue, "useAsyncQueue");
+function whenAborted(signal) {
+  return new Promise((resolve8, reject2) => {
+    const error = new Error("aborted");
+    if (signal.aborted)
+      reject2(error);
+    else
+      signal.addEventListener("abort", () => reject2(error), { once: true });
+  });
+}
+__name(whenAborted, "whenAborted");
+function useAsyncState(promise, initialState, options3) {
+  const {
+    immediate = true,
+    delay = 0,
+    onError = noop,
+    onSuccess = noop,
+    resetOnExecute = true,
+    shallow = true,
+    throwError
+  } = options3 != null ? options3 : {};
+  const state = shallow ? shallowRef(initialState) : ref(initialState);
+  const isReady = ref(false);
+  const isLoading = ref(false);
+  const error = shallowRef(void 0);
+  async function execute(delay2 = 0, ...args) {
+    if (resetOnExecute)
+      state.value = initialState;
+    error.value = void 0;
+    isReady.value = false;
+    isLoading.value = true;
+    if (delay2 > 0)
+      await promiseTimeout(delay2);
+    const _promise = typeof promise === "function" ? promise(...args) : promise;
+    try {
+      const data24 = await _promise;
+      state.value = data24;
+      isReady.value = true;
+      onSuccess(data24);
+    } catch (e) {
+      error.value = e;
+      onError(e);
+      if (throwError)
+        throw e;
+    } finally {
+      isLoading.value = false;
+    }
+    return state.value;
+  }
+  __name(execute, "execute");
+  if (immediate)
+    execute(delay);
+  const shell = {
+    state,
+    isReady,
+    isLoading,
+    error,
+    execute
+  };
+  function waitUntilIsLoaded() {
+    return new Promise((resolve8, reject2) => {
+      until(isLoading).toBe(false).then(() => resolve8(shell)).catch(reject2);
+    });
+  }
+  __name(waitUntilIsLoaded, "waitUntilIsLoaded");
+  return {
+    ...shell,
+    then(onFulfilled, onRejected) {
+      return waitUntilIsLoaded().then(onFulfilled, onRejected);
+    }
+  };
+}
+__name(useAsyncState, "useAsyncState");
+const defaults = {
+  array: /* @__PURE__ */ __name((v2) => JSON.stringify(v2), "array"),
+  object: /* @__PURE__ */ __name((v2) => JSON.stringify(v2), "object"),
+  set: /* @__PURE__ */ __name((v2) => JSON.stringify(Array.from(v2)), "set"),
+  map: /* @__PURE__ */ __name((v2) => JSON.stringify(Object.fromEntries(v2)), "map"),
+  null: /* @__PURE__ */ __name(() => "", "null")
+};
+function getDefaultSerialization(target) {
+  if (!target)
+    return defaults.null;
+  if (target instanceof Map)
+    return defaults.map;
+  else if (target instanceof Set)
+    return defaults.set;
+  else if (Array.isArray(target))
+    return defaults.array;
+  else
+    return defaults.object;
+}
+__name(getDefaultSerialization, "getDefaultSerialization");
+function useBase64(target, options3) {
+  const base64 = ref("");
+  const promise = ref();
+  function execute() {
+    if (!isClient)
+      return;
+    promise.value = new Promise((resolve8, reject2) => {
+      try {
+        const _target = toValue(target);
+        if (_target == null) {
+          resolve8("");
+        } else if (typeof _target === "string") {
+          resolve8(blobToBase64(new Blob([_target], { type: "text/plain" })));
+        } else if (_target instanceof Blob) {
+          resolve8(blobToBase64(_target));
+        } else if (_target instanceof ArrayBuffer) {
+          resolve8(window.btoa(String.fromCharCode(...new Uint8Array(_target))));
+        } else if (_target instanceof HTMLCanvasElement) {
+          resolve8(_target.toDataURL(options3 == null ? void 0 : options3.type, options3 == null ? void 0 : options3.quality));
+        } else if (_target instanceof HTMLImageElement) {
+          const img = _target.cloneNode(false);
+          img.crossOrigin = "Anonymous";
+          imgLoaded(img).then(() => {
+            const canvas = document.createElement("canvas");
+            const ctx = canvas.getContext("2d");
+            canvas.width = img.width;
+            canvas.height = img.height;
+            ctx.drawImage(img, 0, 0, canvas.width, canvas.height);
+            resolve8(canvas.toDataURL(options3 == null ? void 0 : options3.type, options3 == null ? void 0 : options3.quality));
+          }).catch(reject2);
+        } else if (typeof _target === "object") {
+          const _serializeFn = (options3 == null ? void 0 : options3.serializer) || getDefaultSerialization(_target);
+          const serialized = _serializeFn(_target);
+          return resolve8(blobToBase64(new Blob([serialized], { type: "application/json" })));
+        } else {
+          reject2(new Error("target is unsupported types"));
+        }
+      } catch (error) {
+        reject2(error);
+      }
+    });
+    promise.value.then((res) => base64.value = res);
+    return promise.value;
+  }
+  __name(execute, "execute");
+  if (isRef(target) || typeof target === "function")
+    watch(target, execute, { immediate: true });
+  else
+    execute();
+  return {
+    base64,
+    promise,
+    execute
+  };
+}
+__name(useBase64, "useBase64");
+function imgLoaded(img) {
+  return new Promise((resolve8, reject2) => {
+    if (!img.complete) {
+      img.onload = () => {
+        resolve8();
+      };
+      img.onerror = reject2;
+    } else {
+      resolve8();
+    }
+  });
+}
+__name(imgLoaded, "imgLoaded");
+function blobToBase64(blob) {
+  return new Promise((resolve8, reject2) => {
+    const fr = new FileReader();
+    fr.onload = (e) => {
+      resolve8(e.target.result);
+    };
+    fr.onerror = reject2;
+    fr.readAsDataURL(blob);
+  });
+}
+__name(blobToBase64, "blobToBase64");
+function useBattery(options3 = {}) {
+  const { navigator: navigator2 = defaultNavigator } = options3;
+  const events2 = ["chargingchange", "chargingtimechange", "dischargingtimechange", "levelchange"];
+  const isSupported2 = useSupported(() => navigator2 && "getBattery" in navigator2 && typeof navigator2.getBattery === "function");
+  const charging = ref(false);
+  const chargingTime = ref(0);
+  const dischargingTime = ref(0);
+  const level = ref(1);
+  let battery;
+  function updateBatteryInfo() {
+    charging.value = this.charging;
+    chargingTime.value = this.chargingTime || 0;
+    dischargingTime.value = this.dischargingTime || 0;
+    level.value = this.level;
+  }
+  __name(updateBatteryInfo, "updateBatteryInfo");
+  if (isSupported2.value) {
+    navigator2.getBattery().then((_battery) => {
+      battery = _battery;
+      updateBatteryInfo.call(battery);
+      useEventListener(battery, events2, updateBatteryInfo, { passive: true });
+    });
+  }
+  return {
+    isSupported: isSupported2,
+    charging,
+    chargingTime,
+    dischargingTime,
+    level
+  };
+}
+__name(useBattery, "useBattery");
+function useBluetooth(options3) {
+  let {
+    acceptAllDevices = false
+  } = options3 || {};
+  const {
+    filters = void 0,
+    optionalServices = void 0,
+    navigator: navigator2 = defaultNavigator
+  } = options3 || {};
+  const isSupported2 = useSupported(() => navigator2 && "bluetooth" in navigator2);
+  const device = shallowRef(void 0);
+  const error = shallowRef(null);
+  watch(device, () => {
+    connectToBluetoothGATTServer();
+  });
+  async function requestDevice() {
+    if (!isSupported2.value)
+      return;
+    error.value = null;
+    if (filters && filters.length > 0)
+      acceptAllDevices = false;
+    try {
+      device.value = await (navigator2 == null ? void 0 : navigator2.bluetooth.requestDevice({
+        acceptAllDevices,
+        filters,
+        optionalServices
+      }));
+    } catch (err) {
+      error.value = err;
+    }
+  }
+  __name(requestDevice, "requestDevice");
+  const server = ref();
+  const isConnected = computed(() => {
+    var _a;
+    return ((_a = server.value) == null ? void 0 : _a.connected) || false;
+  });
+  async function connectToBluetoothGATTServer() {
+    error.value = null;
+    if (device.value && device.value.gatt) {
+      device.value.addEventListener("gattserverdisconnected", () => {
+      });
+      try {
+        server.value = await device.value.gatt.connect();
+      } catch (err) {
+        error.value = err;
+      }
+    }
+  }
+  __name(connectToBluetoothGATTServer, "connectToBluetoothGATTServer");
+  tryOnMounted(() => {
+    var _a;
+    if (device.value)
+      (_a = device.value.gatt) == null ? void 0 : _a.connect();
+  });
+  tryOnScopeDispose(() => {
+    var _a;
+    if (device.value)
+      (_a = device.value.gatt) == null ? void 0 : _a.disconnect();
+  });
+  return {
+    isSupported: isSupported2,
+    isConnected,
+    // Device:
+    device,
+    requestDevice,
+    // Server:
+    server,
+    // Errors:
+    error
+  };
+}
+__name(useBluetooth, "useBluetooth");
+function useMediaQuery(query, options3 = {}) {
+  const { window: window2 = defaultWindow } = options3;
+  const isSupported2 = useSupported(() => window2 && "matchMedia" in window2 && typeof window2.matchMedia === "function");
+  let mediaQuery;
+  const matches2 = ref(false);
+  const handler6 = /* @__PURE__ */ __name((event2) => {
+    matches2.value = event2.matches;
+  }, "handler");
+  const cleanup = /* @__PURE__ */ __name(() => {
+    if (!mediaQuery)
+      return;
+    if ("removeEventListener" in mediaQuery)
+      mediaQuery.removeEventListener("change", handler6);
+    else
+      mediaQuery.removeListener(handler6);
+  }, "cleanup");
+  const stopWatch = watchEffect(() => {
+    if (!isSupported2.value)
+      return;
+    cleanup();
+    mediaQuery = window2.matchMedia(toValue(query));
+    if ("addEventListener" in mediaQuery)
+      mediaQuery.addEventListener("change", handler6);
+    else
+      mediaQuery.addListener(handler6);
+    matches2.value = mediaQuery.matches;
+  });
+  tryOnScopeDispose(() => {
+    stopWatch();
+    cleanup();
+    mediaQuery = void 0;
+  });
+  return matches2;
+}
+__name(useMediaQuery, "useMediaQuery");
+const breakpointsTailwind = {
+  "sm": 640,
+  "md": 768,
+  "lg": 1024,
+  "xl": 1280,
+  "2xl": 1536
+};
+const breakpointsBootstrapV5 = {
+  xs: 0,
+  sm: 576,
+  md: 768,
+  lg: 992,
+  xl: 1200,
+  xxl: 1400
+};
+const breakpointsVuetifyV2 = {
+  xs: 0,
+  sm: 600,
+  md: 960,
+  lg: 1264,
+  xl: 1904
+};
+const breakpointsVuetifyV3 = {
+  xs: 0,
+  sm: 600,
+  md: 960,
+  lg: 1280,
+  xl: 1920,
+  xxl: 2560
+};
+const breakpointsVuetify = breakpointsVuetifyV2;
+const breakpointsAntDesign = {
+  xs: 480,
+  sm: 576,
+  md: 768,
+  lg: 992,
+  xl: 1200,
+  xxl: 1600
+};
+const breakpointsQuasar = {
+  xs: 0,
+  sm: 600,
+  md: 1024,
+  lg: 1440,
+  xl: 1920
+};
+const breakpointsSematic = {
+  mobileS: 320,
+  mobileM: 375,
+  mobileL: 425,
+  tablet: 768,
+  laptop: 1024,
+  laptopL: 1440,
+  desktop4K: 2560
+};
+const breakpointsMasterCss = {
+  "3xs": 360,
+  "2xs": 480,
+  "xs": 600,
+  "sm": 768,
+  "md": 1024,
+  "lg": 1280,
+  "xl": 1440,
+  "2xl": 1600,
+  "3xl": 1920,
+  "4xl": 2560
+};
+const breakpointsPrimeFlex = {
+  sm: 576,
+  md: 768,
+  lg: 992,
+  xl: 1200
+};
+function useBreakpoints(breakpoints, options3 = {}) {
+  function getValue2(k, delta2) {
+    let v2 = toValue(breakpoints[toValue(k)]);
+    if (delta2 != null)
+      v2 = increaseWithUnit(v2, delta2);
+    if (typeof v2 === "number")
+      v2 = `${v2}px`;
+    return v2;
+  }
+  __name(getValue2, "getValue2");
+  const { window: window2 = defaultWindow, strategy = "min-width" } = options3;
+  function match(query) {
+    if (!window2)
+      return false;
+    return window2.matchMedia(query).matches;
+  }
+  __name(match, "match");
+  const greaterOrEqual = /* @__PURE__ */ __name((k) => {
+    return useMediaQuery(() => `(min-width: ${getValue2(k)})`, options3);
+  }, "greaterOrEqual");
+  const smallerOrEqual = /* @__PURE__ */ __name((k) => {
+    return useMediaQuery(() => `(max-width: ${getValue2(k)})`, options3);
+  }, "smallerOrEqual");
+  const shortcutMethods = Object.keys(breakpoints).reduce((shortcuts, k) => {
+    Object.defineProperty(shortcuts, k, {
+      get: /* @__PURE__ */ __name(() => strategy === "min-width" ? greaterOrEqual(k) : smallerOrEqual(k), "get"),
+      enumerable: true,
+      configurable: true
+    });
+    return shortcuts;
+  }, {});
+  function current() {
+    const points = Object.keys(breakpoints).map((i2) => [i2, greaterOrEqual(i2)]);
+    return computed(() => points.filter(([, v2]) => v2.value).map(([k]) => k));
+  }
+  __name(current, "current");
+  return Object.assign(shortcutMethods, {
+    greaterOrEqual,
+    smallerOrEqual,
+    greater(k) {
+      return useMediaQuery(() => `(min-width: ${getValue2(k, 0.1)})`, options3);
+    },
+    smaller(k) {
+      return useMediaQuery(() => `(max-width: ${getValue2(k, -0.1)})`, options3);
+    },
+    between(a, b) {
+      return useMediaQuery(() => `(min-width: ${getValue2(a)}) and (max-width: ${getValue2(b, -0.1)})`, options3);
+    },
+    isGreater(k) {
+      return match(`(min-width: ${getValue2(k, 0.1)})`);
+    },
+    isGreaterOrEqual(k) {
+      return match(`(min-width: ${getValue2(k)})`);
+    },
+    isSmaller(k) {
+      return match(`(max-width: ${getValue2(k, -0.1)})`);
+    },
+    isSmallerOrEqual(k) {
+      return match(`(max-width: ${getValue2(k)})`);
+    },
+    isInBetween(a, b) {
+      return match(`(min-width: ${getValue2(a)}) and (max-width: ${getValue2(b, -0.1)})`);
+    },
+    current,
+    active() {
+      const bps = current();
+      return computed(() => bps.value.length === 0 ? "" : bps.value.at(-1));
+    }
+  });
+}
+__name(useBreakpoints, "useBreakpoints");
+function useBroadcastChannel(options3) {
+  const {
+    name,
+    window: window2 = defaultWindow
+  } = options3;
+  const isSupported2 = useSupported(() => window2 && "BroadcastChannel" in window2);
+  const isClosed = ref(false);
+  const channel = ref();
+  const data24 = ref();
+  const error = shallowRef(null);
+  const post = /* @__PURE__ */ __name((data25) => {
+    if (channel.value)
+      channel.value.postMessage(data25);
+  }, "post");
+  const close4 = /* @__PURE__ */ __name(() => {
+    if (channel.value)
+      channel.value.close();
+    isClosed.value = true;
+  }, "close");
+  if (isSupported2.value) {
+    tryOnMounted(() => {
+      error.value = null;
+      channel.value = new BroadcastChannel(name);
+      channel.value.addEventListener("message", (e) => {
+        data24.value = e.data;
+      }, { passive: true });
+      channel.value.addEventListener("messageerror", (e) => {
+        error.value = e;
+      }, { passive: true });
+      channel.value.addEventListener("close", () => {
+        isClosed.value = true;
+      });
+    });
+  }
+  tryOnScopeDispose(() => {
+    close4();
+  });
+  return {
+    isSupported: isSupported2,
+    channel,
+    data: data24,
+    post,
+    close: close4,
+    error,
+    isClosed
+  };
+}
+__name(useBroadcastChannel, "useBroadcastChannel");
+const WRITABLE_PROPERTIES = [
+  "hash",
+  "host",
+  "hostname",
+  "href",
+  "pathname",
+  "port",
+  "protocol",
+  "search"
+];
+function useBrowserLocation(options3 = {}) {
+  const { window: window2 = defaultWindow } = options3;
+  const refs = Object.fromEntries(
+    WRITABLE_PROPERTIES.map((key) => [key, ref()])
+  );
+  for (const [key, ref2] of objectEntries(refs)) {
+    watch(ref2, (value3) => {
+      if (!(window2 == null ? void 0 : window2.location) || window2.location[key] === value3)
+        return;
+      window2.location[key] = value3;
+    });
+  }
+  const buildState = /* @__PURE__ */ __name((trigger2) => {
+    var _a;
+    const { state: state2, length } = (window2 == null ? void 0 : window2.history) || {};
+    const { origin: origin2 } = (window2 == null ? void 0 : window2.location) || {};
+    for (const key of WRITABLE_PROPERTIES)
+      refs[key].value = (_a = window2 == null ? void 0 : window2.location) == null ? void 0 : _a[key];
+    return reactive({
+      trigger: trigger2,
+      state: state2,
+      length,
+      origin: origin2,
+      ...refs
+    });
+  }, "buildState");
+  const state = ref(buildState("load"));
+  if (window2) {
+    useEventListener(window2, "popstate", () => state.value = buildState("popstate"), { passive: true });
+    useEventListener(window2, "hashchange", () => state.value = buildState("hashchange"), { passive: true });
+  }
+  return state;
+}
+__name(useBrowserLocation, "useBrowserLocation");
+function useCached(refValue, comparator2 = (a, b) => a === b, watchOptions) {
+  const cachedValue = ref(refValue.value);
+  watch(() => refValue.value, (value3) => {
+    if (!comparator2(value3, cachedValue.value))
+      cachedValue.value = value3;
+  }, watchOptions);
+  return cachedValue;
+}
+__name(useCached, "useCached");
+function usePermission(permissionDesc, options3 = {}) {
+  const {
+    controls = false,
+    navigator: navigator2 = defaultNavigator
+  } = options3;
+  const isSupported2 = useSupported(() => navigator2 && "permissions" in navigator2);
+  let permissionStatus;
+  const desc = typeof permissionDesc === "string" ? { name: permissionDesc } : permissionDesc;
+  const state = ref();
+  const onChange5 = /* @__PURE__ */ __name(() => {
+    if (permissionStatus)
+      state.value = permissionStatus.state;
+  }, "onChange");
+  const query = createSingletonPromise(async () => {
+    if (!isSupported2.value)
+      return;
+    if (!permissionStatus) {
+      try {
+        permissionStatus = await navigator2.permissions.query(desc);
+        useEventListener(permissionStatus, "change", onChange5);
+        onChange5();
+      } catch (e) {
+        state.value = "prompt";
+      }
+    }
+    return permissionStatus;
+  });
+  query();
+  if (controls) {
+    return {
+      state,
+      isSupported: isSupported2,
+      query
+    };
+  } else {
+    return state;
+  }
+}
+__name(usePermission, "usePermission");
+function useClipboard(options3 = {}) {
+  const {
+    navigator: navigator2 = defaultNavigator,
+    read = false,
+    source,
+    copiedDuring = 1500,
+    legacy = false
+  } = options3;
+  const isClipboardApiSupported = useSupported(() => navigator2 && "clipboard" in navigator2);
+  const permissionRead = usePermission("clipboard-read");
+  const permissionWrite = usePermission("clipboard-write");
+  const isSupported2 = computed(() => isClipboardApiSupported.value || legacy);
+  const text = ref("");
+  const copied = ref(false);
+  const timeout = useTimeoutFn(() => copied.value = false, copiedDuring);
+  function updateText() {
+    if (isClipboardApiSupported.value && isAllowed(permissionRead.value)) {
+      navigator2.clipboard.readText().then((value3) => {
+        text.value = value3;
+      });
+    } else {
+      text.value = legacyRead();
+    }
+  }
+  __name(updateText, "updateText");
+  if (isSupported2.value && read)
+    useEventListener(["copy", "cut"], updateText);
+  async function copy(value3 = toValue(source)) {
+    if (isSupported2.value && value3 != null) {
+      if (isClipboardApiSupported.value && isAllowed(permissionWrite.value))
+        await navigator2.clipboard.writeText(value3);
+      else
+        legacyCopy(value3);
+      text.value = value3;
+      copied.value = true;
+      timeout.start();
+    }
+  }
+  __name(copy, "copy");
+  function legacyCopy(value3) {
+    const ta = document.createElement("textarea");
+    ta.value = value3 != null ? value3 : "";
+    ta.style.position = "absolute";
+    ta.style.opacity = "0";
+    document.body.appendChild(ta);
+    ta.select();
+    document.execCommand("copy");
+    ta.remove();
+  }
+  __name(legacyCopy, "legacyCopy");
+  function legacyRead() {
+    var _a, _b, _c;
+    return (_c = (_b = (_a = document == null ? void 0 : document.getSelection) == null ? void 0 : _a.call(document)) == null ? void 0 : _b.toString()) != null ? _c : "";
+  }
+  __name(legacyRead, "legacyRead");
+  function isAllowed(status) {
+    return status === "granted" || status === "prompt";
+  }
+  __name(isAllowed, "isAllowed");
+  return {
+    isSupported: isSupported2,
+    text,
+    copied,
+    copy
+  };
+}
+__name(useClipboard, "useClipboard");
+function useClipboardItems(options3 = {}) {
+  const {
+    navigator: navigator2 = defaultNavigator,
+    read = false,
+    source,
+    copiedDuring = 1500
+  } = options3;
+  const isSupported2 = useSupported(() => navigator2 && "clipboard" in navigator2);
+  const content = ref([]);
+  const copied = ref(false);
+  const timeout = useTimeoutFn(() => copied.value = false, copiedDuring);
+  function updateContent() {
+    if (isSupported2.value) {
+      navigator2.clipboard.read().then((items2) => {
+        content.value = items2;
+      });
+    }
+  }
+  __name(updateContent, "updateContent");
+  if (isSupported2.value && read)
+    useEventListener(["copy", "cut"], updateContent);
+  async function copy(value3 = toValue(source)) {
+    if (isSupported2.value && value3 != null) {
+      await navigator2.clipboard.write(value3);
+      content.value = value3;
+      copied.value = true;
+      timeout.start();
+    }
+  }
+  __name(copy, "copy");
+  return {
+    isSupported: isSupported2,
+    content,
+    copied,
+    copy
+  };
+}
+__name(useClipboardItems, "useClipboardItems");
+function cloneFnJSON(source) {
+  return JSON.parse(JSON.stringify(source));
+}
+__name(cloneFnJSON, "cloneFnJSON");
+function useCloned(source, options3 = {}) {
+  const cloned = ref({});
+  const {
+    manual,
+    clone: clone2 = cloneFnJSON,
+    // watch options
+    deep = true,
+    immediate = true
+  } = options3;
+  function sync() {
+    cloned.value = clone2(toValue(source));
+  }
+  __name(sync, "sync");
+  if (!manual && (isRef(source) || typeof source === "function")) {
+    watch(source, sync, {
+      ...options3,
+      deep,
+      immediate
+    });
+  } else {
+    sync();
+  }
+  return { cloned, sync };
+}
+__name(useCloned, "useCloned");
+const _global = typeof globalThis !== "undefined" ? globalThis : typeof window !== "undefined" ? window : typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : {};
+const globalKey = "__vueuse_ssr_handlers__";
+const handlers = /* @__PURE__ */ getHandlers();
+function getHandlers() {
+  if (!(globalKey in _global))
+    _global[globalKey] = _global[globalKey] || {};
+  return _global[globalKey];
+}
+__name(getHandlers, "getHandlers");
+function getSSRHandler(key, fallback) {
+  return handlers[key] || fallback;
+}
+__name(getSSRHandler, "getSSRHandler");
+function setSSRHandler(key, fn) {
+  handlers[key] = fn;
+}
+__name(setSSRHandler, "setSSRHandler");
+function guessSerializerType(rawInit) {
+  return rawInit == null ? "any" : rawInit instanceof Set ? "set" : rawInit instanceof Map ? "map" : rawInit instanceof Date ? "date" : typeof rawInit === "boolean" ? "boolean" : typeof rawInit === "string" ? "string" : typeof rawInit === "object" ? "object" : !Number.isNaN(rawInit) ? "number" : "any";
+}
+__name(guessSerializerType, "guessSerializerType");
+const StorageSerializers = {
+  boolean: {
+    read: /* @__PURE__ */ __name((v2) => v2 === "true", "read"),
+    write: /* @__PURE__ */ __name((v2) => String(v2), "write")
+  },
+  object: {
+    read: /* @__PURE__ */ __name((v2) => JSON.parse(v2), "read"),
+    write: /* @__PURE__ */ __name((v2) => JSON.stringify(v2), "write")
+  },
+  number: {
+    read: /* @__PURE__ */ __name((v2) => Number.parseFloat(v2), "read"),
+    write: /* @__PURE__ */ __name((v2) => String(v2), "write")
+  },
+  any: {
+    read: /* @__PURE__ */ __name((v2) => v2, "read"),
+    write: /* @__PURE__ */ __name((v2) => String(v2), "write")
+  },
+  string: {
+    read: /* @__PURE__ */ __name((v2) => v2, "read"),
+    write: /* @__PURE__ */ __name((v2) => String(v2), "write")
+  },
+  map: {
+    read: /* @__PURE__ */ __name((v2) => new Map(JSON.parse(v2)), "read"),
+    write: /* @__PURE__ */ __name((v2) => JSON.stringify(Array.from(v2.entries())), "write")
+  },
+  set: {
+    read: /* @__PURE__ */ __name((v2) => new Set(JSON.parse(v2)), "read"),
+    write: /* @__PURE__ */ __name((v2) => JSON.stringify(Array.from(v2)), "write")
+  },
+  date: {
+    read: /* @__PURE__ */ __name((v2) => new Date(v2), "read"),
+    write: /* @__PURE__ */ __name((v2) => v2.toISOString(), "write")
+  }
+};
+const customStorageEventName = "vueuse-storage";
+function useStorage(key, defaults2, storage, options3 = {}) {
+  var _a;
+  const {
+    flush = "pre",
+    deep = true,
+    listenToStorageChanges = true,
+    writeDefaults = true,
+    mergeDefaults: mergeDefaults2 = false,
+    shallow,
+    window: window2 = defaultWindow,
+    eventFilter,
+    onError = /* @__PURE__ */ __name((e) => {
+      console.error(e);
+    }, "onError"),
+    initOnMounted
+  } = options3;
+  const data24 = (shallow ? shallowRef : ref)(typeof defaults2 === "function" ? defaults2() : defaults2);
+  if (!storage) {
+    try {
+      storage = getSSRHandler("getDefaultStorage", () => {
+        var _a2;
+        return (_a2 = defaultWindow) == null ? void 0 : _a2.localStorage;
+      })();
+    } catch (e) {
+      onError(e);
+    }
+  }
+  if (!storage)
+    return data24;
+  const rawInit = toValue(defaults2);
+  const type = guessSerializerType(rawInit);
+  const serializer = (_a = options3.serializer) != null ? _a : StorageSerializers[type];
+  const { pause: pauseWatch, resume: resumeWatch } = watchPausable(
+    data24,
+    () => write(data24.value),
+    { flush, deep, eventFilter }
+  );
+  if (window2 && listenToStorageChanges) {
+    tryOnMounted(() => {
+      if (storage instanceof Storage)
+        useEventListener(window2, "storage", update2);
+      else
+        useEventListener(window2, customStorageEventName, updateFromCustomEvent);
+      if (initOnMounted)
+        update2();
+    });
+  }
+  if (!initOnMounted)
+    update2();
+  function dispatchWriteEvent(oldValue, newValue) {
+    if (window2 && !(storage instanceof Storage)) {
+      window2.dispatchEvent(new CustomEvent(customStorageEventName, {
+        detail: {
+          key,
+          oldValue,
+          newValue,
+          storageArea: storage
+        }
+      }));
+    }
+  }
+  __name(dispatchWriteEvent, "dispatchWriteEvent");
+  function write(v2) {
+    try {
+      const oldValue = storage.getItem(key);
+      if (v2 == null) {
+        dispatchWriteEvent(oldValue, null);
+        storage.removeItem(key);
+      } else {
+        const serialized = serializer.write(v2);
+        if (oldValue !== serialized) {
+          storage.setItem(key, serialized);
+          dispatchWriteEvent(oldValue, serialized);
+        }
+      }
+    } catch (e) {
+      onError(e);
+    }
+  }
+  __name(write, "write");
+  function read(event2) {
+    const rawValue = event2 ? event2.newValue : storage.getItem(key);
+    if (rawValue == null) {
+      if (writeDefaults && rawInit != null)
+        storage.setItem(key, serializer.write(rawInit));
+      return rawInit;
+    } else if (!event2 && mergeDefaults2) {
+      const value3 = serializer.read(rawValue);
+      if (typeof mergeDefaults2 === "function")
+        return mergeDefaults2(value3, rawInit);
+      else if (type === "object" && !Array.isArray(value3))
+        return { ...rawInit, ...value3 };
+      return value3;
+    } else if (typeof rawValue !== "string") {
+      return rawValue;
+    } else {
+      return serializer.read(rawValue);
+    }
+  }
+  __name(read, "read");
+  function update2(event2) {
+    if (event2 && event2.storageArea !== storage)
+      return;
+    if (event2 && event2.key == null) {
+      data24.value = rawInit;
+      return;
+    }
+    if (event2 && event2.key !== key)
+      return;
+    pauseWatch();
+    try {
+      if ((event2 == null ? void 0 : event2.newValue) !== serializer.write(data24.value))
+        data24.value = read(event2);
+    } catch (e) {
+      onError(e);
+    } finally {
+      if (event2)
+        nextTick(resumeWatch);
+      else
+        resumeWatch();
+    }
+  }
+  __name(update2, "update");
+  function updateFromCustomEvent(event2) {
+    update2(event2.detail);
+  }
+  __name(updateFromCustomEvent, "updateFromCustomEvent");
+  return data24;
+}
+__name(useStorage, "useStorage");
+function usePreferredDark(options3) {
+  return useMediaQuery("(prefers-color-scheme: dark)", options3);
+}
+__name(usePreferredDark, "usePreferredDark");
+const CSS_DISABLE_TRANS = "*,*::before,*::after{-webkit-transition:none!important;-moz-transition:none!important;-o-transition:none!important;-ms-transition:none!important;transition:none!important}";
+function useColorMode(options3 = {}) {
+  const {
+    selector = "html",
+    attribute = "class",
+    initialValue = "auto",
+    window: window2 = defaultWindow,
+    storage,
+    storageKey = "vueuse-color-scheme",
+    listenToStorageChanges = true,
+    storageRef,
+    emitAuto,
+    disableTransition = true
+  } = options3;
+  const modes = {
+    auto: "",
+    light: "light",
+    dark: "dark",
+    ...options3.modes || {}
+  };
+  const preferredDark = usePreferredDark({ window: window2 });
+  const system = computed(() => preferredDark.value ? "dark" : "light");
+  const store = storageRef || (storageKey == null ? toRef(initialValue) : useStorage(storageKey, initialValue, storage, { window: window2, listenToStorageChanges }));
+  const state = computed(() => store.value === "auto" ? system.value : store.value);
+  const updateHTMLAttrs = getSSRHandler(
+    "updateHTMLAttrs",
+    (selector2, attribute2, value3) => {
+      const el = typeof selector2 === "string" ? window2 == null ? void 0 : window2.document.querySelector(selector2) : unrefElement(selector2);
+      if (!el)
+        return;
+      const classesToAdd = /* @__PURE__ */ new Set();
+      const classesToRemove = /* @__PURE__ */ new Set();
+      let attributeToChange = null;
+      if (attribute2 === "class") {
+        const current = value3.split(/\s/g);
+        Object.values(modes).flatMap((i2) => (i2 || "").split(/\s/g)).filter(Boolean).forEach((v2) => {
+          if (current.includes(v2))
+            classesToAdd.add(v2);
+          else
+            classesToRemove.add(v2);
+        });
+      } else {
+        attributeToChange = { key: attribute2, value: value3 };
+      }
+      if (classesToAdd.size === 0 && classesToRemove.size === 0 && attributeToChange === null)
+        return;
+      let style;
+      if (disableTransition) {
+        style = window2.document.createElement("style");
+        style.appendChild(document.createTextNode(CSS_DISABLE_TRANS));
+        window2.document.head.appendChild(style);
+      }
+      for (const c of classesToAdd) {
+        el.classList.add(c);
+      }
+      for (const c of classesToRemove) {
+        el.classList.remove(c);
+      }
+      if (attributeToChange) {
+        el.setAttribute(attributeToChange.key, attributeToChange.value);
+      }
+      if (disableTransition) {
+        window2.getComputedStyle(style).opacity;
+        document.head.removeChild(style);
+      }
+    }
+  );
+  function defaultOnChanged(mode2) {
+    var _a;
+    updateHTMLAttrs(selector, attribute, (_a = modes[mode2]) != null ? _a : mode2);
+  }
+  __name(defaultOnChanged, "defaultOnChanged");
+  function onChanged(mode2) {
+    if (options3.onChanged)
+      options3.onChanged(mode2, defaultOnChanged);
+    else
+      defaultOnChanged(mode2);
+  }
+  __name(onChanged, "onChanged");
+  watch(state, onChanged, { flush: "post", immediate: true });
+  tryOnMounted(() => onChanged(state.value));
+  const auto = computed({
+    get() {
+      return emitAuto ? store.value : state.value;
+    },
+    set(v2) {
+      store.value = v2;
+    }
+  });
+  try {
+    return Object.assign(auto, { store, system, state });
+  } catch (e) {
+    return auto;
+  }
+}
+__name(useColorMode, "useColorMode");
+function useConfirmDialog(revealed = ref(false)) {
+  const confirmHook = createEventHook();
+  const cancelHook = createEventHook();
+  const revealHook = createEventHook();
+  let _resolve = noop;
+  const reveal = /* @__PURE__ */ __name((data24) => {
+    revealHook.trigger(data24);
+    revealed.value = true;
+    return new Promise((resolve8) => {
+      _resolve = resolve8;
+    });
+  }, "reveal");
+  const confirm2 = /* @__PURE__ */ __name((data24) => {
+    revealed.value = false;
+    confirmHook.trigger(data24);
+    _resolve({ data: data24, isCanceled: false });
+  }, "confirm");
+  const cancel = /* @__PURE__ */ __name((data24) => {
+    revealed.value = false;
+    cancelHook.trigger(data24);
+    _resolve({ data: data24, isCanceled: true });
+  }, "cancel");
+  return {
+    isRevealed: computed(() => revealed.value),
+    reveal,
+    confirm: confirm2,
+    cancel,
+    onReveal: revealHook.on,
+    onConfirm: confirmHook.on,
+    onCancel: cancelHook.on
+  };
+}
+__name(useConfirmDialog, "useConfirmDialog");
+function useCssVar(prop2, target, options3 = {}) {
+  const { window: window2 = defaultWindow, initialValue, observe = false } = options3;
+  const variable = ref(initialValue);
+  const elRef = computed(() => {
+    var _a;
+    return unrefElement(target) || ((_a = window2 == null ? void 0 : window2.document) == null ? void 0 : _a.documentElement);
+  });
+  function updateCssVar() {
+    var _a;
+    const key = toValue(prop2);
+    const el = toValue(elRef);
+    if (el && window2 && key) {
+      const value3 = (_a = window2.getComputedStyle(el).getPropertyValue(key)) == null ? void 0 : _a.trim();
+      variable.value = value3 || initialValue;
+    }
+  }
+  __name(updateCssVar, "updateCssVar");
+  if (observe) {
+    useMutationObserver(elRef, updateCssVar, {
+      attributeFilter: ["style", "class"],
+      window: window2
+    });
+  }
+  watch(
+    [elRef, () => toValue(prop2)],
+    (_2, old) => {
+      if (old[0] && old[1] && window2)
+        window2.getComputedStyle(old[0]).removeProperty(old[1]);
+      updateCssVar();
+    },
+    { immediate: true }
+  );
+  watch(
+    variable,
+    (val) => {
+      var _a;
+      const raw_prop = toValue(prop2);
+      if (((_a = elRef.value) == null ? void 0 : _a.style) && raw_prop) {
+        if (val == null)
+          elRef.value.style.removeProperty(raw_prop);
+        else
+          elRef.value.style.setProperty(raw_prop, val);
+      }
+    }
+  );
+  return variable;
+}
+__name(useCssVar, "useCssVar");
+function useCurrentElement(rootComponent) {
+  const vm = getCurrentInstance();
+  const currentElement = computedWithControl(
+    () => null,
+    () => rootComponent ? unrefElement(rootComponent) : vm.proxy.$el
+  );
+  onUpdated(currentElement.trigger);
+  onMounted(currentElement.trigger);
+  return currentElement;
+}
+__name(useCurrentElement, "useCurrentElement");
+function useCycleList(list, options3) {
+  const state = shallowRef(getInitialValue());
+  const listRef5 = toRef(list);
+  const index2 = computed({
+    get() {
+      var _a;
+      const targetList = listRef5.value;
+      let index22 = (options3 == null ? void 0 : options3.getIndexOf) ? options3.getIndexOf(state.value, targetList) : targetList.indexOf(state.value);
+      if (index22 < 0)
+        index22 = (_a = options3 == null ? void 0 : options3.fallbackIndex) != null ? _a : 0;
+      return index22;
+    },
+    set(v2) {
+      set2(v2);
+    }
+  });
+  function set2(i2) {
+    const targetList = listRef5.value;
+    const length = targetList.length;
+    const index22 = (i2 % length + length) % length;
+    const value3 = targetList[index22];
+    state.value = value3;
+    return value3;
+  }
+  __name(set2, "set2");
+  function shift(delta2 = 1) {
+    return set2(index2.value + delta2);
+  }
+  __name(shift, "shift");
+  function next2(n = 1) {
+    return shift(n);
+  }
+  __name(next2, "next");
+  function prev2(n = 1) {
+    return shift(-n);
+  }
+  __name(prev2, "prev");
+  function getInitialValue() {
+    var _a, _b;
+    return (_b = toValue((_a = options3 == null ? void 0 : options3.initialValue) != null ? _a : toValue(list)[0])) != null ? _b : void 0;
+  }
+  __name(getInitialValue, "getInitialValue");
+  watch(listRef5, () => set2(index2.value));
+  return {
+    state,
+    index: index2,
+    next: next2,
+    prev: prev2,
+    go: set2
+  };
+}
+__name(useCycleList, "useCycleList");
+function useDark(options3 = {}) {
+  const {
+    valueDark = "dark",
+    valueLight = "",
+    window: window2 = defaultWindow
+  } = options3;
+  const mode2 = useColorMode({
+    ...options3,
+    onChanged: /* @__PURE__ */ __name((mode22, defaultHandler) => {
+      var _a;
+      if (options3.onChanged)
+        (_a = options3.onChanged) == null ? void 0 : _a.call(options3, mode22 === "dark", defaultHandler, mode22);
+      else
+        defaultHandler(mode22);
+    }, "onChanged"),
+    modes: {
+      dark: valueDark,
+      light: valueLight
+    }
+  });
+  const system = computed(() => {
+    if (mode2.system) {
+      return mode2.system.value;
+    } else {
+      const preferredDark = usePreferredDark({ window: window2 });
+      return preferredDark.value ? "dark" : "light";
+    }
+  });
+  const isDark = computed({
+    get() {
+      return mode2.value === "dark";
+    },
+    set(v2) {
+      const modeVal = v2 ? "dark" : "light";
+      if (system.value === modeVal)
+        mode2.value = "auto";
+      else
+        mode2.value = modeVal;
+    }
+  });
+  return isDark;
+}
+__name(useDark, "useDark");
+function fnBypass(v2) {
+  return v2;
+}
+__name(fnBypass, "fnBypass");
+function fnSetSource(source, value3) {
+  return source.value = value3;
+}
+__name(fnSetSource, "fnSetSource");
+function defaultDump(clone2) {
+  return clone2 ? typeof clone2 === "function" ? clone2 : cloneFnJSON : fnBypass;
+}
+__name(defaultDump, "defaultDump");
+function defaultParse(clone2) {
+  return clone2 ? typeof clone2 === "function" ? clone2 : cloneFnJSON : fnBypass;
+}
+__name(defaultParse, "defaultParse");
+function useManualRefHistory(source, options3 = {}) {
+  const {
+    clone: clone2 = false,
+    dump = defaultDump(clone2),
+    parse: parse2 = defaultParse(clone2),
+    setSource = fnSetSource
+  } = options3;
+  function _createHistoryRecord() {
+    return markRaw({
+      snapshot: dump(source.value),
+      timestamp: timestamp()
+    });
+  }
+  __name(_createHistoryRecord, "_createHistoryRecord");
+  const last = ref(_createHistoryRecord());
+  const undoStack = ref([]);
+  const redoStack = ref([]);
+  const _setSource = /* @__PURE__ */ __name((record) => {
+    setSource(source, parse2(record.snapshot));
+    last.value = record;
+  }, "_setSource");
+  const commit = /* @__PURE__ */ __name(() => {
+    undoStack.value.unshift(last.value);
+    last.value = _createHistoryRecord();
+    if (options3.capacity && undoStack.value.length > options3.capacity)
+      undoStack.value.splice(options3.capacity, Number.POSITIVE_INFINITY);
+    if (redoStack.value.length)
+      redoStack.value.splice(0, redoStack.value.length);
+  }, "commit");
+  const clear3 = /* @__PURE__ */ __name(() => {
+    undoStack.value.splice(0, undoStack.value.length);
+    redoStack.value.splice(0, redoStack.value.length);
+  }, "clear");
+  const undo = /* @__PURE__ */ __name(() => {
+    const state = undoStack.value.shift();
+    if (state) {
+      redoStack.value.unshift(last.value);
+      _setSource(state);
+    }
+  }, "undo");
+  const redo = /* @__PURE__ */ __name(() => {
+    const state = redoStack.value.shift();
+    if (state) {
+      undoStack.value.unshift(last.value);
+      _setSource(state);
+    }
+  }, "redo");
+  const reset = /* @__PURE__ */ __name(() => {
+    _setSource(last.value);
+  }, "reset");
+  const history = computed(() => [last.value, ...undoStack.value]);
+  const canUndo = computed(() => undoStack.value.length > 0);
+  const canRedo = computed(() => redoStack.value.length > 0);
+  return {
+    source,
+    undoStack,
+    redoStack,
+    last,
+    history,
+    canUndo,
+    canRedo,
+    clear: clear3,
+    commit,
+    reset,
+    undo,
+    redo
+  };
+}
+__name(useManualRefHistory, "useManualRefHistory");
+function useRefHistory(source, options3 = {}) {
+  const {
+    deep = false,
+    flush = "pre",
+    eventFilter
+  } = options3;
+  const {
+    eventFilter: composedFilter,
+    pause,
+    resume: resumeTracking,
+    isActive: isTracking
+  } = pausableFilter(eventFilter);
+  const {
+    ignoreUpdates,
+    ignorePrevAsyncUpdates,
+    stop: stop2
+  } = watchIgnorable(
+    source,
+    commit,
+    { deep, flush, eventFilter: composedFilter }
+  );
+  function setSource(source2, value3) {
+    ignorePrevAsyncUpdates();
+    ignoreUpdates(() => {
+      source2.value = value3;
+    });
+  }
+  __name(setSource, "setSource");
+  const manualHistory = useManualRefHistory(source, { ...options3, clone: options3.clone || deep, setSource });
+  const { clear: clear3, commit: manualCommit } = manualHistory;
+  function commit() {
+    ignorePrevAsyncUpdates();
+    manualCommit();
+  }
+  __name(commit, "commit");
+  function resume(commitNow) {
+    resumeTracking();
+    if (commitNow)
+      commit();
+  }
+  __name(resume, "resume");
+  function batch(fn) {
+    let canceled = false;
+    const cancel = /* @__PURE__ */ __name(() => canceled = true, "cancel");
+    ignoreUpdates(() => {
+      fn(cancel);
+    });
+    if (!canceled)
+      commit();
+  }
+  __name(batch, "batch");
+  function dispose() {
+    stop2();
+    clear3();
+  }
+  __name(dispose, "dispose");
+  return {
+    ...manualHistory,
+    isTracking,
+    pause,
+    resume,
+    commit,
+    batch,
+    dispose
+  };
+}
+__name(useRefHistory, "useRefHistory");
+function useDebouncedRefHistory(source, options3 = {}) {
+  const filter4 = options3.debounce ? debounceFilter(options3.debounce) : void 0;
+  const history = useRefHistory(source, { ...options3, eventFilter: filter4 });
+  return {
+    ...history
+  };
+}
+__name(useDebouncedRefHistory, "useDebouncedRefHistory");
+function useDeviceMotion(options3 = {}) {
+  const {
+    window: window2 = defaultWindow,
+    eventFilter = bypassFilter
+  } = options3;
+  const acceleration = ref({ x: null, y: null, z: null });
+  const rotationRate = ref({ alpha: null, beta: null, gamma: null });
+  const interval = ref(0);
+  const accelerationIncludingGravity = ref({
+    x: null,
+    y: null,
+    z: null
+  });
+  if (window2) {
+    const onDeviceMotion = createFilterWrapper(
+      eventFilter,
+      (event2) => {
+        acceleration.value = event2.acceleration;
+        accelerationIncludingGravity.value = event2.accelerationIncludingGravity;
+        rotationRate.value = event2.rotationRate;
+        interval.value = event2.interval;
+      }
+    );
+    useEventListener(window2, "devicemotion", onDeviceMotion);
+  }
+  return {
+    acceleration,
+    accelerationIncludingGravity,
+    rotationRate,
+    interval
+  };
+}
+__name(useDeviceMotion, "useDeviceMotion");
+function useDeviceOrientation(options3 = {}) {
+  const { window: window2 = defaultWindow } = options3;
+  const isSupported2 = useSupported(() => window2 && "DeviceOrientationEvent" in window2);
+  const isAbsolute = ref(false);
+  const alpha = ref(null);
+  const beta = ref(null);
+  const gamma = ref(null);
+  if (window2 && isSupported2.value) {
+    useEventListener(window2, "deviceorientation", (event2) => {
+      isAbsolute.value = event2.absolute;
+      alpha.value = event2.alpha;
+      beta.value = event2.beta;
+      gamma.value = event2.gamma;
+    });
+  }
+  return {
+    isSupported: isSupported2,
+    isAbsolute,
+    alpha,
+    beta,
+    gamma
+  };
+}
+__name(useDeviceOrientation, "useDeviceOrientation");
+function useDevicePixelRatio(options3 = {}) {
+  const {
+    window: window2 = defaultWindow
+  } = options3;
+  const pixelRatio = ref(1);
+  if (window2) {
+    let observe2 = /* @__PURE__ */ __name(function() {
+      pixelRatio.value = window2.devicePixelRatio;
+      cleanup2();
+      media = window2.matchMedia(`(resolution: ${pixelRatio.value}dppx)`);
+      media.addEventListener("change", observe2, { once: true });
+    }, "observe2"), cleanup2 = /* @__PURE__ */ __name(function() {
+      media == null ? void 0 : media.removeEventListener("change", observe2);
+    }, "cleanup2");
+    let media;
+    observe2();
+    tryOnScopeDispose(cleanup2);
+  }
+  return { pixelRatio };
+}
+__name(useDevicePixelRatio, "useDevicePixelRatio");
+function useDevicesList(options3 = {}) {
+  const {
+    navigator: navigator2 = defaultNavigator,
+    requestPermissions = false,
+    constraints = { audio: true, video: true },
+    onUpdated: onUpdated2
+  } = options3;
+  const devices = ref([]);
+  const videoInputs = computed(() => devices.value.filter((i2) => i2.kind === "videoinput"));
+  const audioInputs = computed(() => devices.value.filter((i2) => i2.kind === "audioinput"));
+  const audioOutputs = computed(() => devices.value.filter((i2) => i2.kind === "audiooutput"));
+  const isSupported2 = useSupported(() => navigator2 && navigator2.mediaDevices && navigator2.mediaDevices.enumerateDevices);
+  const permissionGranted = ref(false);
+  let stream;
+  async function update2() {
+    if (!isSupported2.value)
+      return;
+    devices.value = await navigator2.mediaDevices.enumerateDevices();
+    onUpdated2 == null ? void 0 : onUpdated2(devices.value);
+    if (stream) {
+      stream.getTracks().forEach((t) => t.stop());
+      stream = null;
+    }
+  }
+  __name(update2, "update");
+  async function ensurePermissions() {
+    if (!isSupported2.value)
+      return false;
+    if (permissionGranted.value)
+      return true;
+    const { state, query } = usePermission("camera", { controls: true });
+    await query();
+    if (state.value !== "granted") {
+      stream = await navigator2.mediaDevices.getUserMedia(constraints);
+      update2();
+      permissionGranted.value = true;
+    } else {
+      permissionGranted.value = true;
+    }
+    return permissionGranted.value;
+  }
+  __name(ensurePermissions, "ensurePermissions");
+  if (isSupported2.value) {
+    if (requestPermissions)
+      ensurePermissions();
+    useEventListener(navigator2.mediaDevices, "devicechange", update2);
+    update2();
+  }
+  return {
+    devices,
+    ensurePermissions,
+    permissionGranted,
+    videoInputs,
+    audioInputs,
+    audioOutputs,
+    isSupported: isSupported2
+  };
+}
+__name(useDevicesList, "useDevicesList");
+function useDisplayMedia(options3 = {}) {
+  var _a;
+  const enabled = ref((_a = options3.enabled) != null ? _a : false);
+  const video = options3.video;
+  const audio = options3.audio;
+  const { navigator: navigator2 = defaultNavigator } = options3;
+  const isSupported2 = useSupported(() => {
+    var _a2;
+    return (_a2 = navigator2 == null ? void 0 : navigator2.mediaDevices) == null ? void 0 : _a2.getDisplayMedia;
+  });
+  const constraint = { audio, video };
+  const stream = shallowRef();
+  async function _start() {
+    var _a2;
+    if (!isSupported2.value || stream.value)
+      return;
+    stream.value = await navigator2.mediaDevices.getDisplayMedia(constraint);
+    (_a2 = stream.value) == null ? void 0 : _a2.getTracks().forEach((t) => t.addEventListener("ended", stop2));
+    return stream.value;
+  }
+  __name(_start, "_start");
+  async function _stop() {
+    var _a2;
+    (_a2 = stream.value) == null ? void 0 : _a2.getTracks().forEach((t) => t.stop());
+    stream.value = void 0;
+  }
+  __name(_stop, "_stop");
+  function stop2() {
+    _stop();
+    enabled.value = false;
+  }
+  __name(stop2, "stop");
+  async function start2() {
+    await _start();
+    if (stream.value)
+      enabled.value = true;
+    return stream.value;
+  }
+  __name(start2, "start");
+  watch(
+    enabled,
+    (v2) => {
+      if (v2)
+        _start();
+      else
+        _stop();
+    },
+    { immediate: true }
+  );
+  return {
+    isSupported: isSupported2,
+    stream,
+    start: start2,
+    stop: stop2,
+    enabled
+  };
+}
+__name(useDisplayMedia, "useDisplayMedia");
+function useDocumentVisibility(options3 = {}) {
+  const { document: document2 = defaultDocument } = options3;
+  if (!document2)
+    return ref("visible");
+  const visibility = ref(document2.visibilityState);
+  useEventListener(document2, "visibilitychange", () => {
+    visibility.value = document2.visibilityState;
+  });
+  return visibility;
+}
+__name(useDocumentVisibility, "useDocumentVisibility");
+function useDraggable(target, options3 = {}) {
+  var _a, _b;
+  const {
+    pointerTypes,
+    preventDefault: preventDefault2,
+    stopPropagation,
+    exact,
+    onMove,
+    onEnd,
+    onStart,
+    initialValue,
+    axis = "both",
+    draggingElement = defaultWindow,
+    containerElement,
+    handle: draggingHandle = target,
+    buttons = [0]
+  } = options3;
+  const position2 = ref(
+    (_a = toValue(initialValue)) != null ? _a : { x: 0, y: 0 }
+  );
+  const pressedDelta = ref();
+  const filterEvent = /* @__PURE__ */ __name((e) => {
+    if (pointerTypes)
+      return pointerTypes.includes(e.pointerType);
+    return true;
+  }, "filterEvent");
+  const handleEvent = /* @__PURE__ */ __name((e) => {
+    if (toValue(preventDefault2))
+      e.preventDefault();
+    if (toValue(stopPropagation))
+      e.stopPropagation();
+  }, "handleEvent");
+  const start2 = /* @__PURE__ */ __name((e) => {
+    var _a2;
+    if (!toValue(buttons).includes(e.button))
+      return;
+    if (toValue(options3.disabled) || !filterEvent(e))
+      return;
+    if (toValue(exact) && e.target !== toValue(target))
+      return;
+    const container = toValue(containerElement);
+    const containerRect = (_a2 = container == null ? void 0 : container.getBoundingClientRect) == null ? void 0 : _a2.call(container);
+    const targetRect = toValue(target).getBoundingClientRect();
+    const pos2 = {
+      x: e.clientX - (container ? targetRect.left - containerRect.left + container.scrollLeft : targetRect.left),
+      y: e.clientY - (container ? targetRect.top - containerRect.top + container.scrollTop : targetRect.top)
+    };
+    if ((onStart == null ? void 0 : onStart(pos2, e)) === false)
+      return;
+    pressedDelta.value = pos2;
+    handleEvent(e);
+  }, "start");
+  const move = /* @__PURE__ */ __name((e) => {
+    if (toValue(options3.disabled) || !filterEvent(e))
+      return;
+    if (!pressedDelta.value)
+      return;
+    const container = toValue(containerElement);
+    const targetRect = toValue(target).getBoundingClientRect();
+    let { x: x2, y: y2 } = position2.value;
+    if (axis === "x" || axis === "both") {
+      x2 = e.clientX - pressedDelta.value.x;
+      if (container)
+        x2 = Math.min(Math.max(0, x2), container.scrollWidth - targetRect.width);
+    }
+    if (axis === "y" || axis === "both") {
+      y2 = e.clientY - pressedDelta.value.y;
+      if (container)
+        y2 = Math.min(Math.max(0, y2), container.scrollHeight - targetRect.height);
+    }
+    position2.value = {
+      x: x2,
+      y: y2
+    };
+    onMove == null ? void 0 : onMove(position2.value, e);
+    handleEvent(e);
+  }, "move");
+  const end = /* @__PURE__ */ __name((e) => {
+    if (toValue(options3.disabled) || !filterEvent(e))
+      return;
+    if (!pressedDelta.value)
+      return;
+    pressedDelta.value = void 0;
+    onEnd == null ? void 0 : onEnd(position2.value, e);
+    handleEvent(e);
+  }, "end");
+  if (isClient) {
+    const config = { capture: (_b = options3.capture) != null ? _b : true };
+    useEventListener(draggingHandle, "pointerdown", start2, config);
+    useEventListener(draggingElement, "pointermove", move, config);
+    useEventListener(draggingElement, "pointerup", end, config);
+  }
+  return {
+    ...toRefs(position2),
+    position: position2,
+    isDragging: computed(() => !!pressedDelta.value),
+    style: computed(
+      () => `left:${position2.value.x}px;top:${position2.value.y}px;`
+    )
+  };
+}
+__name(useDraggable, "useDraggable");
+function useDropZone(target, options3 = {}) {
+  const isOverDropZone = ref(false);
+  const files = shallowRef(null);
+  let counter = 0;
+  let isDataTypeIncluded = true;
+  if (isClient) {
+    const _options = typeof options3 === "function" ? { onDrop: options3 } : options3;
+    const getFiles = /* @__PURE__ */ __name((event2) => {
+      var _a, _b;
+      const list = Array.from((_b = (_a = event2.dataTransfer) == null ? void 0 : _a.files) != null ? _b : []);
+      return files.value = list.length === 0 ? null : list;
+    }, "getFiles");
+    useEventListener(target, "dragenter", (event2) => {
+      var _a, _b;
+      const types = Array.from(((_a = event2 == null ? void 0 : event2.dataTransfer) == null ? void 0 : _a.items) || []).map((i2) => i2.kind === "file" ? i2.type : null).filter(notNullish);
+      if (_options.dataTypes && event2.dataTransfer) {
+        const dataTypes = unref(_options.dataTypes);
+        isDataTypeIncluded = typeof dataTypes === "function" ? dataTypes(types) : dataTypes ? dataTypes.some((item2) => types.includes(item2)) : true;
+        if (!isDataTypeIncluded)
+          return;
+      }
+      event2.preventDefault();
+      counter += 1;
+      isOverDropZone.value = true;
+      (_b = _options.onEnter) == null ? void 0 : _b.call(_options, getFiles(event2), event2);
+    });
+    useEventListener(target, "dragover", (event2) => {
+      var _a;
+      if (!isDataTypeIncluded)
+        return;
+      event2.preventDefault();
+      (_a = _options.onOver) == null ? void 0 : _a.call(_options, getFiles(event2), event2);
+    });
+    useEventListener(target, "dragleave", (event2) => {
+      var _a;
+      if (!isDataTypeIncluded)
+        return;
+      event2.preventDefault();
+      counter -= 1;
+      if (counter === 0)
+        isOverDropZone.value = false;
+      (_a = _options.onLeave) == null ? void 0 : _a.call(_options, getFiles(event2), event2);
+    });
+    useEventListener(target, "drop", (event2) => {
+      var _a;
+      event2.preventDefault();
+      counter = 0;
+      isOverDropZone.value = false;
+      (_a = _options.onDrop) == null ? void 0 : _a.call(_options, getFiles(event2), event2);
+    });
+  }
+  return {
+    files,
+    isOverDropZone
+  };
+}
+__name(useDropZone, "useDropZone");
+function useResizeObserver(target, callback, options3 = {}) {
+  const { window: window2 = defaultWindow, ...observerOptions } = options3;
+  let observer;
+  const isSupported2 = useSupported(() => window2 && "ResizeObserver" in window2);
+  const cleanup = /* @__PURE__ */ __name(() => {
+    if (observer) {
+      observer.disconnect();
+      observer = void 0;
+    }
+  }, "cleanup");
+  const targets = computed(() => {
+    const _targets = toValue(target);
+    return Array.isArray(_targets) ? _targets.map((el) => unrefElement(el)) : [unrefElement(_targets)];
+  });
+  const stopWatch = watch(
+    targets,
+    (els) => {
+      cleanup();
+      if (isSupported2.value && window2) {
+        observer = new ResizeObserver(callback);
+        for (const _el of els) {
+          if (_el)
+            observer.observe(_el, observerOptions);
+        }
+      }
+    },
+    { immediate: true, flush: "post" }
+  );
+  const stop2 = /* @__PURE__ */ __name(() => {
+    cleanup();
+    stopWatch();
+  }, "stop");
+  tryOnScopeDispose(stop2);
+  return {
+    isSupported: isSupported2,
+    stop: stop2
+  };
+}
+__name(useResizeObserver, "useResizeObserver");
+function useElementBounding(target, options3 = {}) {
+  const {
+    reset = true,
+    windowResize = true,
+    windowScroll = true,
+    immediate = true,
+    updateTiming = "sync"
+  } = options3;
+  const height = ref(0);
+  const bottom = ref(0);
+  const left = ref(0);
+  const right = ref(0);
+  const top = ref(0);
+  const width2 = ref(0);
+  const x2 = ref(0);
+  const y2 = ref(0);
+  function recalculate() {
+    const el = unrefElement(target);
+    if (!el) {
+      if (reset) {
+        height.value = 0;
+        bottom.value = 0;
+        left.value = 0;
+        right.value = 0;
+        top.value = 0;
+        width2.value = 0;
+        x2.value = 0;
+        y2.value = 0;
+      }
+      return;
+    }
+    const rect = el.getBoundingClientRect();
+    height.value = rect.height;
+    bottom.value = rect.bottom;
+    left.value = rect.left;
+    right.value = rect.right;
+    top.value = rect.top;
+    width2.value = rect.width;
+    x2.value = rect.x;
+    y2.value = rect.y;
+  }
+  __name(recalculate, "recalculate");
+  function update2() {
+    if (updateTiming === "sync")
+      recalculate();
+    else if (updateTiming === "next-frame")
+      requestAnimationFrame(() => recalculate());
+  }
+  __name(update2, "update");
+  useResizeObserver(target, update2);
+  watch(() => unrefElement(target), (ele) => !ele && update2());
+  useMutationObserver(target, update2, {
+    attributeFilter: ["style", "class"]
+  });
+  if (windowScroll)
+    useEventListener("scroll", update2, { capture: true, passive: true });
+  if (windowResize)
+    useEventListener("resize", update2, { passive: true });
+  tryOnMounted(() => {
+    if (immediate)
+      update2();
+  });
+  return {
+    height,
+    bottom,
+    left,
+    right,
+    top,
+    width: width2,
+    x: x2,
+    y: y2,
+    update: update2
+  };
+}
+__name(useElementBounding, "useElementBounding");
+function useElementByPoint(options3) {
+  const {
+    x: x2,
+    y: y2,
+    document: document2 = defaultDocument,
+    multiple,
+    interval = "requestAnimationFrame",
+    immediate = true
+  } = options3;
+  const isSupported2 = useSupported(() => {
+    if (toValue(multiple))
+      return document2 && "elementsFromPoint" in document2;
+    return document2 && "elementFromPoint" in document2;
+  });
+  const element = ref(null);
+  const cb = /* @__PURE__ */ __name(() => {
+    var _a, _b;
+    element.value = toValue(multiple) ? (_a = document2 == null ? void 0 : document2.elementsFromPoint(toValue(x2), toValue(y2))) != null ? _a : [] : (_b = document2 == null ? void 0 : document2.elementFromPoint(toValue(x2), toValue(y2))) != null ? _b : null;
+  }, "cb");
+  const controls = interval === "requestAnimationFrame" ? useRafFn(cb, { immediate }) : useIntervalFn(cb, interval, { immediate });
+  return {
+    isSupported: isSupported2,
+    element,
+    ...controls
+  };
+}
+__name(useElementByPoint, "useElementByPoint");
+function useElementHover(el, options3 = {}) {
+  const {
+    delayEnter = 0,
+    delayLeave = 0,
+    window: window2 = defaultWindow
+  } = options3;
+  const isHovered = ref(false);
+  let timer;
+  const toggle4 = /* @__PURE__ */ __name((entering) => {
+    const delay = entering ? delayEnter : delayLeave;
+    if (timer) {
+      clearTimeout(timer);
+      timer = void 0;
+    }
+    if (delay)
+      timer = setTimeout(() => isHovered.value = entering, delay);
+    else
+      isHovered.value = entering;
+  }, "toggle");
+  if (!window2)
+    return isHovered;
+  useEventListener(el, "mouseenter", () => toggle4(true), { passive: true });
+  useEventListener(el, "mouseleave", () => toggle4(false), { passive: true });
+  return isHovered;
+}
+__name(useElementHover, "useElementHover");
+function useElementSize(target, initialSize = { width: 0, height: 0 }, options3 = {}) {
+  const { window: window2 = defaultWindow, box = "content-box" } = options3;
+  const isSVG = computed(() => {
+    var _a, _b;
+    return (_b = (_a = unrefElement(target)) == null ? void 0 : _a.namespaceURI) == null ? void 0 : _b.includes("svg");
+  });
+  const width2 = ref(initialSize.width);
+  const height = ref(initialSize.height);
+  const { stop: stop1 } = useResizeObserver(
+    target,
+    ([entry]) => {
+      const boxSize = box === "border-box" ? entry.borderBoxSize : box === "content-box" ? entry.contentBoxSize : entry.devicePixelContentBoxSize;
+      if (window2 && isSVG.value) {
+        const $elem = unrefElement(target);
+        if ($elem) {
+          const rect = $elem.getBoundingClientRect();
+          width2.value = rect.width;
+          height.value = rect.height;
+        }
+      } else {
+        if (boxSize) {
+          const formatBoxSize = Array.isArray(boxSize) ? boxSize : [boxSize];
+          width2.value = formatBoxSize.reduce((acc, { inlineSize }) => acc + inlineSize, 0);
+          height.value = formatBoxSize.reduce((acc, { blockSize }) => acc + blockSize, 0);
+        } else {
+          width2.value = entry.contentRect.width;
+          height.value = entry.contentRect.height;
+        }
+      }
+    },
+    options3
+  );
+  tryOnMounted(() => {
+    const ele = unrefElement(target);
+    if (ele) {
+      width2.value = "offsetWidth" in ele ? ele.offsetWidth : initialSize.width;
+      height.value = "offsetHeight" in ele ? ele.offsetHeight : initialSize.height;
+    }
+  });
+  const stop2 = watch(
+    () => unrefElement(target),
+    (ele) => {
+      width2.value = ele ? initialSize.width : 0;
+      height.value = ele ? initialSize.height : 0;
+    }
+  );
+  function stop3() {
+    stop1();
+    stop2();
+  }
+  __name(stop3, "stop");
+  return {
+    width: width2,
+    height,
+    stop: stop3
+  };
+}
+__name(useElementSize, "useElementSize");
+function useIntersectionObserver(target, callback, options3 = {}) {
+  const {
+    root: root26,
+    rootMargin = "0px",
+    threshold = 0,
+    window: window2 = defaultWindow,
+    immediate = true
+  } = options3;
+  const isSupported2 = useSupported(() => window2 && "IntersectionObserver" in window2);
+  const targets = computed(() => {
+    const _target = toValue(target);
+    return (Array.isArray(_target) ? _target : [_target]).map(unrefElement).filter(notNullish);
+  });
+  let cleanup = noop;
+  const isActive = ref(immediate);
+  const stopWatch = isSupported2.value ? watch(
+    () => [targets.value, unrefElement(root26), isActive.value],
+    ([targets2, root27]) => {
+      cleanup();
+      if (!isActive.value)
+        return;
+      if (!targets2.length)
+        return;
+      const observer = new IntersectionObserver(
+        callback,
+        {
+          root: unrefElement(root27),
+          rootMargin,
+          threshold
+        }
+      );
+      targets2.forEach((el) => el && observer.observe(el));
+      cleanup = /* @__PURE__ */ __name(() => {
+        observer.disconnect();
+        cleanup = noop;
+      }, "cleanup");
+    },
+    { immediate, flush: "post" }
+  ) : noop;
+  const stop2 = /* @__PURE__ */ __name(() => {
+    cleanup();
+    stopWatch();
+    isActive.value = false;
+  }, "stop");
+  tryOnScopeDispose(stop2);
+  return {
+    isSupported: isSupported2,
+    isActive,
+    pause() {
+      cleanup();
+      isActive.value = false;
+    },
+    resume() {
+      isActive.value = true;
+    },
+    stop: stop2
+  };
+}
+__name(useIntersectionObserver, "useIntersectionObserver");
+function useElementVisibility(element, options3 = {}) {
+  const { window: window2 = defaultWindow, scrollTarget, threshold = 0 } = options3;
+  const elementIsVisible = ref(false);
+  useIntersectionObserver(
+    element,
+    (intersectionObserverEntries) => {
+      let isIntersecting = elementIsVisible.value;
+      let latestTime = 0;
+      for (const entry of intersectionObserverEntries) {
+        if (entry.time >= latestTime) {
+          latestTime = entry.time;
+          isIntersecting = entry.isIntersecting;
+        }
+      }
+      elementIsVisible.value = isIntersecting;
+    },
+    {
+      root: scrollTarget,
+      window: window2,
+      threshold
+    }
+  );
+  return elementIsVisible;
+}
+__name(useElementVisibility, "useElementVisibility");
+const events = /* @__PURE__ */ new Map();
+function useEventBus(key) {
+  const scope = getCurrentScope();
+  function on(listener) {
+    var _a;
+    const listeners = events.get(key) || /* @__PURE__ */ new Set();
+    listeners.add(listener);
+    events.set(key, listeners);
+    const _off = /* @__PURE__ */ __name(() => off(listener), "_off");
+    (_a = scope == null ? void 0 : scope.cleanups) == null ? void 0 : _a.push(_off);
+    return _off;
+  }
+  __name(on, "on");
+  function once2(listener) {
+    function _listener(...args) {
+      off(_listener);
+      listener(...args);
+    }
+    __name(_listener, "_listener");
+    return on(_listener);
+  }
+  __name(once2, "once");
+  function off(listener) {
+    const listeners = events.get(key);
+    if (!listeners)
+      return;
+    listeners.delete(listener);
+    if (!listeners.size)
+      reset();
+  }
+  __name(off, "off");
+  function reset() {
+    events.delete(key);
+  }
+  __name(reset, "reset");
+  function emit2(event2, payload) {
+    var _a;
+    (_a = events.get(key)) == null ? void 0 : _a.forEach((v2) => v2(event2, payload));
+  }
+  __name(emit2, "emit");
+  return { on, once: once2, off, emit: emit2, reset };
+}
+__name(useEventBus, "useEventBus");
+function resolveNestedOptions$1(options3) {
+  if (options3 === true)
+    return {};
+  return options3;
+}
+__name(resolveNestedOptions$1, "resolveNestedOptions$1");
+function useEventSource(url, events2 = [], options3 = {}) {
+  const event2 = ref(null);
+  const data24 = ref(null);
+  const status = ref("CONNECTING");
+  const eventSource = ref(null);
+  const error = shallowRef(null);
+  const urlRef = toRef(url);
+  const lastEventId = shallowRef(null);
+  let explicitlyClosed = false;
+  let retried = 0;
+  const {
+    withCredentials = false,
+    immediate = true
+  } = options3;
+  const close4 = /* @__PURE__ */ __name(() => {
+    if (isClient && eventSource.value) {
+      eventSource.value.close();
+      eventSource.value = null;
+      status.value = "CLOSED";
+      explicitlyClosed = true;
+    }
+  }, "close");
+  const _init = /* @__PURE__ */ __name(() => {
+    if (explicitlyClosed || typeof urlRef.value === "undefined")
+      return;
+    const es = new EventSource(urlRef.value, { withCredentials });
+    status.value = "CONNECTING";
+    eventSource.value = es;
+    es.onopen = () => {
+      status.value = "OPEN";
+      error.value = null;
+    };
+    es.onerror = (e) => {
+      status.value = "CLOSED";
+      error.value = e;
+      if (es.readyState === 2 && !explicitlyClosed && options3.autoReconnect) {
+        es.close();
+        const {
+          retries = -1,
+          delay = 1e3,
+          onFailed
+        } = resolveNestedOptions$1(options3.autoReconnect);
+        retried += 1;
+        if (typeof retries === "number" && (retries < 0 || retried < retries))
+          setTimeout(_init, delay);
+        else if (typeof retries === "function" && retries())
+          setTimeout(_init, delay);
+        else
+          onFailed == null ? void 0 : onFailed();
+      }
+    };
+    es.onmessage = (e) => {
+      event2.value = null;
+      data24.value = e.data;
+      lastEventId.value = e.lastEventId;
+    };
+    for (const event_name of events2) {
+      useEventListener(es, event_name, (e) => {
+        event2.value = event_name;
+        data24.value = e.data || null;
+      });
+    }
+  }, "_init");
+  const open2 = /* @__PURE__ */ __name(() => {
+    if (!isClient)
+      return;
+    close4();
+    explicitlyClosed = false;
+    retried = 0;
+    _init();
+  }, "open");
+  if (immediate)
+    watch(urlRef, open2, { immediate: true });
+  tryOnScopeDispose(close4);
+  return {
+    eventSource,
+    event: event2,
+    data: data24,
+    status,
+    error,
+    open: open2,
+    close: close4,
+    lastEventId
+  };
+}
+__name(useEventSource, "useEventSource");
+function useEyeDropper(options3 = {}) {
+  const { initialValue = "" } = options3;
+  const isSupported2 = useSupported(() => typeof window !== "undefined" && "EyeDropper" in window);
+  const sRGBHex = ref(initialValue);
+  async function open2(openOptions) {
+    if (!isSupported2.value)
+      return;
+    const eyeDropper = new window.EyeDropper();
+    const result = await eyeDropper.open(openOptions);
+    sRGBHex.value = result.sRGBHex;
+    return result;
+  }
+  __name(open2, "open");
+  return { isSupported: isSupported2, sRGBHex, open: open2 };
+}
+__name(useEyeDropper, "useEyeDropper");
+function useFavicon(newIcon = null, options3 = {}) {
+  const {
+    baseUrl = "",
+    rel = "icon",
+    document: document2 = defaultDocument
+  } = options3;
+  const favicon = toRef(newIcon);
+  const applyIcon = /* @__PURE__ */ __name((icon2) => {
+    const elements = document2 == null ? void 0 : document2.head.querySelectorAll(`link[rel*="${rel}"]`);
+    if (!elements || elements.length === 0) {
+      const link = document2 == null ? void 0 : document2.createElement("link");
+      if (link) {
+        link.rel = rel;
+        link.href = `${baseUrl}${icon2}`;
+        link.type = `image/${icon2.split(".").pop()}`;
+        document2 == null ? void 0 : document2.head.append(link);
+      }
+      return;
+    }
+    elements == null ? void 0 : elements.forEach((el) => el.href = `${baseUrl}${icon2}`);
+  }, "applyIcon");
+  watch(
+    favicon,
+    (i2, o) => {
+      if (typeof i2 === "string" && i2 !== o)
+        applyIcon(i2);
+    },
+    { immediate: true }
+  );
+  return favicon;
+}
+__name(useFavicon, "useFavicon");
+const payloadMapping = {
+  json: "application/json",
+  text: "text/plain"
+};
+function isFetchOptions(obj) {
+  return obj && containsProp(obj, "immediate", "refetch", "initialData", "timeout", "beforeFetch", "afterFetch", "onFetchError", "fetch", "updateDataOnError");
+}
+__name(isFetchOptions, "isFetchOptions");
+const reAbsolute = /^(?:[a-z][a-z\d+\-.]*:)?\/\//i;
+function isAbsoluteURL(url) {
+  return reAbsolute.test(url);
+}
+__name(isAbsoluteURL, "isAbsoluteURL");
+function headersToObject(headers) {
+  if (typeof Headers !== "undefined" && headers instanceof Headers)
+    return Object.fromEntries(headers.entries());
+  return headers;
+}
+__name(headersToObject, "headersToObject");
+function combineCallbacks(combination, ...callbacks) {
+  if (combination === "overwrite") {
+    return async (ctx) => {
+      const callback = callbacks[callbacks.length - 1];
+      if (callback)
+        return { ...ctx, ...await callback(ctx) };
+      return ctx;
+    };
+  } else {
+    return async (ctx) => {
+      for (const callback of callbacks) {
+        if (callback)
+          ctx = { ...ctx, ...await callback(ctx) };
+      }
+      return ctx;
+    };
+  }
+}
+__name(combineCallbacks, "combineCallbacks");
+function createFetch(config = {}) {
+  const _combination = config.combination || "chain";
+  const _options = config.options || {};
+  const _fetchOptions = config.fetchOptions || {};
+  function useFactoryFetch(url, ...args) {
+    const computedUrl = computed(() => {
+      const baseUrl = toValue(config.baseUrl);
+      const targetUrl = toValue(url);
+      return baseUrl && !isAbsoluteURL(targetUrl) ? joinPaths(baseUrl, targetUrl) : targetUrl;
+    });
+    let options3 = _options;
+    let fetchOptions = _fetchOptions;
+    if (args.length > 0) {
+      if (isFetchOptions(args[0])) {
+        options3 = {
+          ...options3,
+          ...args[0],
+          beforeFetch: combineCallbacks(_combination, _options.beforeFetch, args[0].beforeFetch),
+          afterFetch: combineCallbacks(_combination, _options.afterFetch, args[0].afterFetch),
+          onFetchError: combineCallbacks(_combination, _options.onFetchError, args[0].onFetchError)
+        };
+      } else {
+        fetchOptions = {
+          ...fetchOptions,
+          ...args[0],
+          headers: {
+            ...headersToObject(fetchOptions.headers) || {},
+            ...headersToObject(args[0].headers) || {}
+          }
+        };
+      }
+    }
+    if (args.length > 1 && isFetchOptions(args[1])) {
+      options3 = {
+        ...options3,
+        ...args[1],
+        beforeFetch: combineCallbacks(_combination, _options.beforeFetch, args[1].beforeFetch),
+        afterFetch: combineCallbacks(_combination, _options.afterFetch, args[1].afterFetch),
+        onFetchError: combineCallbacks(_combination, _options.onFetchError, args[1].onFetchError)
+      };
+    }
+    return useFetch(computedUrl, fetchOptions, options3);
+  }
+  __name(useFactoryFetch, "useFactoryFetch");
+  return useFactoryFetch;
+}
+__name(createFetch, "createFetch");
+function useFetch(url, ...args) {
+  var _a;
+  const supportsAbort = typeof AbortController === "function";
+  let fetchOptions = {};
+  let options3 = {
+    immediate: true,
+    refetch: false,
+    timeout: 0,
+    updateDataOnError: false
+  };
+  const config = {
+    method: "GET",
+    type: "text",
+    payload: void 0
+  };
+  if (args.length > 0) {
+    if (isFetchOptions(args[0]))
+      options3 = { ...options3, ...args[0] };
+    else
+      fetchOptions = args[0];
+  }
+  if (args.length > 1) {
+    if (isFetchOptions(args[1]))
+      options3 = { ...options3, ...args[1] };
+  }
+  const {
+    fetch: fetch2 = (_a = defaultWindow) == null ? void 0 : _a.fetch,
+    initialData,
+    timeout
+  } = options3;
+  const responseEvent = createEventHook();
+  const errorEvent = createEventHook();
+  const finallyEvent = createEventHook();
+  const isFinished = ref(false);
+  const isFetching = ref(false);
+  const aborted = ref(false);
+  const statusCode = ref(null);
+  const response = shallowRef(null);
+  const error = shallowRef(null);
+  const data24 = shallowRef(initialData || null);
+  const canAbort = computed(() => supportsAbort && isFetching.value);
+  let controller;
+  let timer;
+  const abort = /* @__PURE__ */ __name(() => {
+    if (supportsAbort) {
+      controller == null ? void 0 : controller.abort();
+      controller = new AbortController();
+      controller.signal.onabort = () => aborted.value = true;
+      fetchOptions = {
+        ...fetchOptions,
+        signal: controller.signal
+      };
+    }
+  }, "abort");
+  const loading2 = /* @__PURE__ */ __name((isLoading) => {
+    isFetching.value = isLoading;
+    isFinished.value = !isLoading;
+  }, "loading");
+  if (timeout)
+    timer = useTimeoutFn(abort, timeout, { immediate: false });
+  let executeCounter = 0;
+  const execute = /* @__PURE__ */ __name(async (throwOnFailed = false) => {
+    var _a2, _b;
+    abort();
+    loading2(true);
+    error.value = null;
+    statusCode.value = null;
+    aborted.value = false;
+    executeCounter += 1;
+    const currentExecuteCounter = executeCounter;
+    const defaultFetchOptions = {
+      method: config.method,
+      headers: {}
+    };
+    if (config.payload) {
+      const headers = headersToObject(defaultFetchOptions.headers);
+      const payload = toValue(config.payload);
+      if (!config.payloadType && payload && Object.getPrototypeOf(payload) === Object.prototype && !(payload instanceof FormData))
+        config.payloadType = "json";
+      if (config.payloadType)
+        headers["Content-Type"] = (_a2 = payloadMapping[config.payloadType]) != null ? _a2 : config.payloadType;
+      defaultFetchOptions.body = config.payloadType === "json" ? JSON.stringify(payload) : payload;
+    }
+    let isCanceled = false;
+    const context = {
+      url: toValue(url),
+      options: {
+        ...defaultFetchOptions,
+        ...fetchOptions
+      },
+      cancel: /* @__PURE__ */ __name(() => {
+        isCanceled = true;
+      }, "cancel")
+    };
+    if (options3.beforeFetch)
+      Object.assign(context, await options3.beforeFetch(context));
+    if (isCanceled || !fetch2) {
+      loading2(false);
+      return Promise.resolve(null);
+    }
+    let responseData = null;
+    if (timer)
+      timer.start();
+    return fetch2(
+      context.url,
+      {
+        ...defaultFetchOptions,
+        ...context.options,
+        headers: {
+          ...headersToObject(defaultFetchOptions.headers),
+          ...headersToObject((_b = context.options) == null ? void 0 : _b.headers)
+        }
+      }
+    ).then(async (fetchResponse) => {
+      response.value = fetchResponse;
+      statusCode.value = fetchResponse.status;
+      responseData = await fetchResponse.clone()[config.type]();
+      if (!fetchResponse.ok) {
+        data24.value = initialData || null;
+        throw new Error(fetchResponse.statusText);
+      }
+      if (options3.afterFetch) {
+        ({ data: responseData } = await options3.afterFetch({
+          data: responseData,
+          response: fetchResponse
+        }));
+      }
+      data24.value = responseData;
+      responseEvent.trigger(fetchResponse);
+      return fetchResponse;
+    }).catch(async (fetchError) => {
+      let errorData = fetchError.message || fetchError.name;
+      if (options3.onFetchError) {
+        ({ error: errorData, data: responseData } = await options3.onFetchError({
+          data: responseData,
+          error: fetchError,
+          response: response.value
+        }));
+      }
+      error.value = errorData;
+      if (options3.updateDataOnError)
+        data24.value = responseData;
+      errorEvent.trigger(fetchError);
+      if (throwOnFailed)
+        throw fetchError;
+      return null;
+    }).finally(() => {
+      if (currentExecuteCounter === executeCounter)
+        loading2(false);
+      if (timer)
+        timer.stop();
+      finallyEvent.trigger(null);
+    });
+  }, "execute");
+  const refetch = toRef(options3.refetch);
+  watch(
+    [
+      refetch,
+      toRef(url)
+    ],
+    ([refetch2]) => refetch2 && execute(),
+    { deep: true }
+  );
+  const shell = {
+    isFinished: readonly(isFinished),
+    isFetching: readonly(isFetching),
+    statusCode,
+    response,
+    error,
+    data: data24,
+    canAbort,
+    aborted,
+    abort,
+    execute,
+    onFetchResponse: responseEvent.on,
+    onFetchError: errorEvent.on,
+    onFetchFinally: finallyEvent.on,
+    // method
+    get: setMethod("GET"),
+    put: setMethod("PUT"),
+    post: setMethod("POST"),
+    delete: setMethod("DELETE"),
+    patch: setMethod("PATCH"),
+    head: setMethod("HEAD"),
+    options: setMethod("OPTIONS"),
+    // type
+    json: setType2("json"),
+    text: setType2("text"),
+    blob: setType2("blob"),
+    arrayBuffer: setType2("arrayBuffer"),
+    formData: setType2("formData")
+  };
+  function setMethod(method) {
+    return (payload, payloadType) => {
+      if (!isFetching.value) {
+        config.method = method;
+        config.payload = payload;
+        config.payloadType = payloadType;
+        if (isRef(config.payload)) {
+          watch(
+            [
+              refetch,
+              toRef(config.payload)
+            ],
+            ([refetch2]) => refetch2 && execute(),
+            { deep: true }
+          );
+        }
+        return {
+          ...shell,
+          then(onFulfilled, onRejected) {
+            return waitUntilFinished().then(onFulfilled, onRejected);
+          }
+        };
+      }
+      return void 0;
+    };
+  }
+  __name(setMethod, "setMethod");
+  function waitUntilFinished() {
+    return new Promise((resolve8, reject2) => {
+      until(isFinished).toBe(true).then(() => resolve8(shell)).catch((error2) => reject2(error2));
+    });
+  }
+  __name(waitUntilFinished, "waitUntilFinished");
+  function setType2(type) {
+    return () => {
+      if (!isFetching.value) {
+        config.type = type;
+        return {
+          ...shell,
+          then(onFulfilled, onRejected) {
+            return waitUntilFinished().then(onFulfilled, onRejected);
+          }
+        };
+      }
+      return void 0;
+    };
+  }
+  __name(setType2, "setType");
+  if (options3.immediate)
+    Promise.resolve().then(() => execute());
+  return {
+    ...shell,
+    then(onFulfilled, onRejected) {
+      return waitUntilFinished().then(onFulfilled, onRejected);
+    }
+  };
+}
+__name(useFetch, "useFetch");
+function joinPaths(start2, end) {
+  if (!start2.endsWith("/") && !end.startsWith("/"))
+    return `${start2}/${end}`;
+  return `${start2}${end}`;
+}
+__name(joinPaths, "joinPaths");
+const DEFAULT_OPTIONS = {
+  multiple: true,
+  accept: "*",
+  reset: false,
+  directory: false
+};
+function useFileDialog(options3 = {}) {
+  const {
+    document: document2 = defaultDocument
+  } = options3;
+  const files = ref(null);
+  const { on: onChange5, trigger: trigger2 } = createEventHook();
+  let input;
+  if (document2) {
+    input = document2.createElement("input");
+    input.type = "file";
+    input.onchange = (event2) => {
+      const result = event2.target;
+      files.value = result.files;
+      trigger2(files.value);
+    };
+  }
+  const reset = /* @__PURE__ */ __name(() => {
+    files.value = null;
+    if (input && input.value) {
+      input.value = "";
+      trigger2(null);
+    }
+  }, "reset");
+  const open2 = /* @__PURE__ */ __name((localOptions) => {
+    if (!input)
+      return;
+    const _options = {
+      ...DEFAULT_OPTIONS,
+      ...options3,
+      ...localOptions
+    };
+    input.multiple = _options.multiple;
+    input.accept = _options.accept;
+    input.webkitdirectory = _options.directory;
+    if (hasOwn$2(_options, "capture"))
+      input.capture = _options.capture;
+    if (_options.reset)
+      reset();
+    input.click();
+  }, "open");
+  return {
+    files: readonly(files),
+    open: open2,
+    reset,
+    onChange: onChange5
+  };
+}
+__name(useFileDialog, "useFileDialog");
+function useFileSystemAccess(options3 = {}) {
+  const {
+    window: _window = defaultWindow,
+    dataType = "Text"
+  } = options3;
+  const window2 = _window;
+  const isSupported2 = useSupported(() => window2 && "showSaveFilePicker" in window2 && "showOpenFilePicker" in window2);
+  const fileHandle = ref();
+  const data24 = ref();
+  const file = ref();
+  const fileName = computed(() => {
+    var _a, _b;
+    return (_b = (_a = file.value) == null ? void 0 : _a.name) != null ? _b : "";
+  });
+  const fileMIME = computed(() => {
+    var _a, _b;
+    return (_b = (_a = file.value) == null ? void 0 : _a.type) != null ? _b : "";
+  });
+  const fileSize = computed(() => {
+    var _a, _b;
+    return (_b = (_a = file.value) == null ? void 0 : _a.size) != null ? _b : 0;
+  });
+  const fileLastModified = computed(() => {
+    var _a, _b;
+    return (_b = (_a = file.value) == null ? void 0 : _a.lastModified) != null ? _b : 0;
+  });
+  async function open2(_options = {}) {
+    if (!isSupported2.value)
+      return;
+    const [handle] = await window2.showOpenFilePicker({ ...toValue(options3), ..._options });
+    fileHandle.value = handle;
+    await updateData();
+  }
+  __name(open2, "open");
+  async function create2(_options = {}) {
+    if (!isSupported2.value)
+      return;
+    fileHandle.value = await window2.showSaveFilePicker({ ...options3, ..._options });
+    data24.value = void 0;
+    await updateData();
+  }
+  __name(create2, "create");
+  async function save(_options = {}) {
+    if (!isSupported2.value)
+      return;
+    if (!fileHandle.value)
+      return saveAs2(_options);
+    if (data24.value) {
+      const writableStream = await fileHandle.value.createWritable();
+      await writableStream.write(data24.value);
+      await writableStream.close();
+    }
+    await updateFile();
+  }
+  __name(save, "save");
+  async function saveAs2(_options = {}) {
+    if (!isSupported2.value)
+      return;
+    fileHandle.value = await window2.showSaveFilePicker({ ...options3, ..._options });
+    if (data24.value) {
+      const writableStream = await fileHandle.value.createWritable();
+      await writableStream.write(data24.value);
+      await writableStream.close();
+    }
+    await updateFile();
+  }
+  __name(saveAs2, "saveAs");
+  async function updateFile() {
+    var _a;
+    file.value = await ((_a = fileHandle.value) == null ? void 0 : _a.getFile());
+  }
+  __name(updateFile, "updateFile");
+  async function updateData() {
+    var _a, _b;
+    await updateFile();
+    const type = toValue(dataType);
+    if (type === "Text")
+      data24.value = await ((_a = file.value) == null ? void 0 : _a.text());
+    else if (type === "ArrayBuffer")
+      data24.value = await ((_b = file.value) == null ? void 0 : _b.arrayBuffer());
+    else if (type === "Blob")
+      data24.value = file.value;
+  }
+  __name(updateData, "updateData");
+  watch(() => toValue(dataType), updateData);
+  return {
+    isSupported: isSupported2,
+    data: data24,
+    file,
+    fileName,
+    fileMIME,
+    fileSize,
+    fileLastModified,
+    open: open2,
+    create: create2,
+    save,
+    saveAs: saveAs2,
+    updateData
+  };
+}
+__name(useFileSystemAccess, "useFileSystemAccess");
+function useFocus(target, options3 = {}) {
+  const { initialValue = false, focusVisible = false, preventScroll = false } = options3;
+  const innerFocused = ref(false);
+  const targetElement = computed(() => unrefElement(target));
+  useEventListener(targetElement, "focus", (event2) => {
+    var _a, _b;
+    if (!focusVisible || ((_b = (_a = event2.target).matches) == null ? void 0 : _b.call(_a, ":focus-visible")))
+      innerFocused.value = true;
+  });
+  useEventListener(targetElement, "blur", () => innerFocused.value = false);
+  const focused = computed({
+    get: /* @__PURE__ */ __name(() => innerFocused.value, "get"),
+    set(value3) {
+      var _a, _b;
+      if (!value3 && innerFocused.value)
+        (_a = targetElement.value) == null ? void 0 : _a.blur();
+      else if (value3 && !innerFocused.value)
+        (_b = targetElement.value) == null ? void 0 : _b.focus({ preventScroll });
+    }
+  });
+  watch(
+    targetElement,
+    () => {
+      focused.value = initialValue;
+    },
+    { immediate: true, flush: "post" }
+  );
+  return { focused };
+}
+__name(useFocus, "useFocus");
+function useFocusWithin(target, options3 = {}) {
+  const activeElement = useActiveElement(options3);
+  const targetElement = computed(() => unrefElement(target));
+  const focused = computed(() => targetElement.value && activeElement.value ? targetElement.value.contains(activeElement.value) : false);
+  return { focused };
+}
+__name(useFocusWithin, "useFocusWithin");
+function useFps(options3) {
+  var _a;
+  const fps = ref(0);
+  if (typeof performance === "undefined")
+    return fps;
+  const every = (_a = options3 == null ? void 0 : options3.every) != null ? _a : 10;
+  let last = performance.now();
+  let ticks = 0;
+  useRafFn(() => {
+    ticks += 1;
+    if (ticks >= every) {
+      const now2 = performance.now();
+      const diff = now2 - last;
+      fps.value = Math.round(1e3 / (diff / ticks));
+      last = now2;
+      ticks = 0;
+    }
+  });
+  return fps;
+}
+__name(useFps, "useFps");
+const eventHandlers = [
+  "fullscreenchange",
+  "webkitfullscreenchange",
+  "webkitendfullscreen",
+  "mozfullscreenchange",
+  "MSFullscreenChange"
+];
+function useFullscreen(target, options3 = {}) {
+  const {
+    document: document2 = defaultDocument,
+    autoExit = false
+  } = options3;
+  const targetRef = computed(() => {
+    var _a;
+    return (_a = unrefElement(target)) != null ? _a : document2 == null ? void 0 : document2.querySelector("html");
+  });
+  const isFullscreen = ref(false);
+  const requestMethod = computed(() => {
+    return [
+      "requestFullscreen",
+      "webkitRequestFullscreen",
+      "webkitEnterFullscreen",
+      "webkitEnterFullScreen",
+      "webkitRequestFullScreen",
+      "mozRequestFullScreen",
+      "msRequestFullscreen"
+    ].find((m) => document2 && m in document2 || targetRef.value && m in targetRef.value);
+  });
+  const exitMethod = computed(() => {
+    return [
+      "exitFullscreen",
+      "webkitExitFullscreen",
+      "webkitExitFullScreen",
+      "webkitCancelFullScreen",
+      "mozCancelFullScreen",
+      "msExitFullscreen"
+    ].find((m) => document2 && m in document2 || targetRef.value && m in targetRef.value);
+  });
+  const fullscreenEnabled = computed(() => {
+    return [
+      "fullScreen",
+      "webkitIsFullScreen",
+      "webkitDisplayingFullscreen",
+      "mozFullScreen",
+      "msFullscreenElement"
+    ].find((m) => document2 && m in document2 || targetRef.value && m in targetRef.value);
+  });
+  const fullscreenElementMethod = [
+    "fullscreenElement",
+    "webkitFullscreenElement",
+    "mozFullScreenElement",
+    "msFullscreenElement"
+  ].find((m) => document2 && m in document2);
+  const isSupported2 = useSupported(() => targetRef.value && document2 && requestMethod.value !== void 0 && exitMethod.value !== void 0 && fullscreenEnabled.value !== void 0);
+  const isCurrentElementFullScreen = /* @__PURE__ */ __name(() => {
+    if (fullscreenElementMethod)
+      return (document2 == null ? void 0 : document2[fullscreenElementMethod]) === targetRef.value;
+    return false;
+  }, "isCurrentElementFullScreen");
+  const isElementFullScreen = /* @__PURE__ */ __name(() => {
+    if (fullscreenEnabled.value) {
+      if (document2 && document2[fullscreenEnabled.value] != null) {
+        return document2[fullscreenEnabled.value];
+      } else {
+        const target2 = targetRef.value;
+        if ((target2 == null ? void 0 : target2[fullscreenEnabled.value]) != null) {
+          return Boolean(target2[fullscreenEnabled.value]);
+        }
+      }
+    }
+    return false;
+  }, "isElementFullScreen");
+  async function exit() {
+    if (!isSupported2.value || !isFullscreen.value)
+      return;
+    if (exitMethod.value) {
+      if ((document2 == null ? void 0 : document2[exitMethod.value]) != null) {
+        await document2[exitMethod.value]();
+      } else {
+        const target2 = targetRef.value;
+        if ((target2 == null ? void 0 : target2[exitMethod.value]) != null)
+          await target2[exitMethod.value]();
+      }
+    }
+    isFullscreen.value = false;
+  }
+  __name(exit, "exit");
+  async function enter() {
+    if (!isSupported2.value || isFullscreen.value)
+      return;
+    if (isElementFullScreen())
+      await exit();
+    const target2 = targetRef.value;
+    if (requestMethod.value && (target2 == null ? void 0 : target2[requestMethod.value]) != null) {
+      await target2[requestMethod.value]();
+      isFullscreen.value = true;
+    }
+  }
+  __name(enter, "enter");
+  async function toggle4() {
+    await (isFullscreen.value ? exit() : enter());
+  }
+  __name(toggle4, "toggle");
+  const handlerCallback = /* @__PURE__ */ __name(() => {
+    const isElementFullScreenValue = isElementFullScreen();
+    if (!isElementFullScreenValue || isElementFullScreenValue && isCurrentElementFullScreen())
+      isFullscreen.value = isElementFullScreenValue;
+  }, "handlerCallback");
+  useEventListener(document2, eventHandlers, handlerCallback, false);
+  useEventListener(() => unrefElement(targetRef), eventHandlers, handlerCallback, false);
+  if (autoExit)
+    tryOnScopeDispose(exit);
+  return {
+    isSupported: isSupported2,
+    isFullscreen,
+    enter,
+    exit,
+    toggle: toggle4
+  };
+}
+__name(useFullscreen, "useFullscreen");
+function mapGamepadToXbox360Controller(gamepad) {
+  return computed(() => {
+    if (gamepad.value) {
+      return {
+        buttons: {
+          a: gamepad.value.buttons[0],
+          b: gamepad.value.buttons[1],
+          x: gamepad.value.buttons[2],
+          y: gamepad.value.buttons[3]
+        },
+        bumper: {
+          left: gamepad.value.buttons[4],
+          right: gamepad.value.buttons[5]
+        },
+        triggers: {
+          left: gamepad.value.buttons[6],
+          right: gamepad.value.buttons[7]
+        },
+        stick: {
+          left: {
+            horizontal: gamepad.value.axes[0],
+            vertical: gamepad.value.axes[1],
+            button: gamepad.value.buttons[10]
+          },
+          right: {
+            horizontal: gamepad.value.axes[2],
+            vertical: gamepad.value.axes[3],
+            button: gamepad.value.buttons[11]
+          }
+        },
+        dpad: {
+          up: gamepad.value.buttons[12],
+          down: gamepad.value.buttons[13],
+          left: gamepad.value.buttons[14],
+          right: gamepad.value.buttons[15]
+        },
+        back: gamepad.value.buttons[8],
+        start: gamepad.value.buttons[9]
+      };
+    }
+    return null;
+  });
+}
+__name(mapGamepadToXbox360Controller, "mapGamepadToXbox360Controller");
+function useGamepad(options3 = {}) {
+  const {
+    navigator: navigator2 = defaultNavigator
+  } = options3;
+  const isSupported2 = useSupported(() => navigator2 && "getGamepads" in navigator2);
+  const gamepads = ref([]);
+  const onConnectedHook = createEventHook();
+  const onDisconnectedHook = createEventHook();
+  const stateFromGamepad = /* @__PURE__ */ __name((gamepad) => {
+    const hapticActuators = [];
+    const vibrationActuator = "vibrationActuator" in gamepad ? gamepad.vibrationActuator : null;
+    if (vibrationActuator)
+      hapticActuators.push(vibrationActuator);
+    if (gamepad.hapticActuators)
+      hapticActuators.push(...gamepad.hapticActuators);
+    return {
+      id: gamepad.id,
+      index: gamepad.index,
+      connected: gamepad.connected,
+      mapping: gamepad.mapping,
+      timestamp: gamepad.timestamp,
+      vibrationActuator: gamepad.vibrationActuator,
+      hapticActuators,
+      axes: gamepad.axes.map((axes) => axes),
+      buttons: gamepad.buttons.map((button) => ({ pressed: button.pressed, touched: button.touched, value: button.value }))
+    };
+  }, "stateFromGamepad");
+  const updateGamepadState = /* @__PURE__ */ __name(() => {
+    const _gamepads = (navigator2 == null ? void 0 : navigator2.getGamepads()) || [];
+    for (const gamepad of _gamepads) {
+      if (gamepad && gamepads.value[gamepad.index])
+        gamepads.value[gamepad.index] = stateFromGamepad(gamepad);
+    }
+  }, "updateGamepadState");
+  const { isActive, pause, resume } = useRafFn(updateGamepadState);
+  const onGamepadConnected = /* @__PURE__ */ __name((gamepad) => {
+    if (!gamepads.value.some(({ index: index2 }) => index2 === gamepad.index)) {
+      gamepads.value.push(stateFromGamepad(gamepad));
+      onConnectedHook.trigger(gamepad.index);
+    }
+    resume();
+  }, "onGamepadConnected");
+  const onGamepadDisconnected = /* @__PURE__ */ __name((gamepad) => {
+    gamepads.value = gamepads.value.filter((x2) => x2.index !== gamepad.index);
+    onDisconnectedHook.trigger(gamepad.index);
+  }, "onGamepadDisconnected");
+  useEventListener("gamepadconnected", (e) => onGamepadConnected(e.gamepad));
+  useEventListener("gamepaddisconnected", (e) => onGamepadDisconnected(e.gamepad));
+  tryOnMounted(() => {
+    const _gamepads = (navigator2 == null ? void 0 : navigator2.getGamepads()) || [];
+    for (const gamepad of _gamepads) {
+      if (gamepad && gamepads.value[gamepad.index])
+        onGamepadConnected(gamepad);
+    }
+  });
+  pause();
+  return {
+    isSupported: isSupported2,
+    onConnected: onConnectedHook.on,
+    onDisconnected: onDisconnectedHook.on,
+    gamepads,
+    pause,
+    resume,
+    isActive
+  };
+}
+__name(useGamepad, "useGamepad");
+function useGeolocation(options3 = {}) {
+  const {
+    enableHighAccuracy = true,
+    maximumAge = 3e4,
+    timeout = 27e3,
+    navigator: navigator2 = defaultNavigator,
+    immediate = true
+  } = options3;
+  const isSupported2 = useSupported(() => navigator2 && "geolocation" in navigator2);
+  const locatedAt = ref(null);
+  const error = shallowRef(null);
+  const coords = ref({
+    accuracy: 0,
+    latitude: Number.POSITIVE_INFINITY,
+    longitude: Number.POSITIVE_INFINITY,
+    altitude: null,
+    altitudeAccuracy: null,
+    heading: null,
+    speed: null
+  });
+  function updatePosition(position2) {
+    locatedAt.value = position2.timestamp;
+    coords.value = position2.coords;
+    error.value = null;
+  }
+  __name(updatePosition, "updatePosition");
+  let watcher;
+  function resume() {
+    if (isSupported2.value) {
+      watcher = navigator2.geolocation.watchPosition(
+        updatePosition,
+        (err) => error.value = err,
+        {
+          enableHighAccuracy,
+          maximumAge,
+          timeout
+        }
+      );
+    }
+  }
+  __name(resume, "resume");
+  if (immediate)
+    resume();
+  function pause() {
+    if (watcher && navigator2)
+      navigator2.geolocation.clearWatch(watcher);
+  }
+  __name(pause, "pause");
+  tryOnScopeDispose(() => {
+    pause();
+  });
+  return {
+    isSupported: isSupported2,
+    coords,
+    locatedAt,
+    error,
+    resume,
+    pause
+  };
+}
+__name(useGeolocation, "useGeolocation");
+const defaultEvents$1 = ["mousemove", "mousedown", "resize", "keydown", "touchstart", "wheel"];
+const oneMinute = 6e4;
+function useIdle(timeout = oneMinute, options3 = {}) {
+  const {
+    initialState = false,
+    listenForVisibilityChange = true,
+    events: events2 = defaultEvents$1,
+    window: window2 = defaultWindow,
+    eventFilter = throttleFilter(50)
+  } = options3;
+  const idle = ref(initialState);
+  const lastActive = ref(timestamp());
+  let timer;
+  const reset = /* @__PURE__ */ __name(() => {
+    idle.value = false;
+    clearTimeout(timer);
+    timer = setTimeout(() => idle.value = true, timeout);
+  }, "reset");
+  const onEvent = createFilterWrapper(
+    eventFilter,
+    () => {
+      lastActive.value = timestamp();
+      reset();
+    }
+  );
+  if (window2) {
+    const document2 = window2.document;
+    for (const event2 of events2)
+      useEventListener(window2, event2, onEvent, { passive: true });
+    if (listenForVisibilityChange) {
+      useEventListener(document2, "visibilitychange", () => {
+        if (!document2.hidden)
+          onEvent();
+      });
+    }
+    reset();
+  }
+  return {
+    idle,
+    lastActive,
+    reset
+  };
+}
+__name(useIdle, "useIdle");
+async function loadImage(options3) {
+  return new Promise((resolve8, reject2) => {
+    const img = new Image();
+    const { src, srcset, sizes, class: clazz, loading: loading2, crossorigin, referrerPolicy } = options3;
+    img.src = src;
+    if (srcset)
+      img.srcset = srcset;
+    if (sizes)
+      img.sizes = sizes;
+    if (clazz)
+      img.className = clazz;
+    if (loading2)
+      img.loading = loading2;
+    if (crossorigin)
+      img.crossOrigin = crossorigin;
+    if (referrerPolicy)
+      img.referrerPolicy = referrerPolicy;
+    img.onload = () => resolve8(img);
+    img.onerror = reject2;
+  });
+}
+__name(loadImage, "loadImage");
+function useImage(options3, asyncStateOptions = {}) {
+  const state = useAsyncState(
+    () => loadImage(toValue(options3)),
+    void 0,
+    {
+      resetOnExecute: true,
+      ...asyncStateOptions
+    }
+  );
+  watch(
+    () => toValue(options3),
+    () => state.execute(asyncStateOptions.delay),
+    { deep: true }
+  );
+  return state;
+}
+__name(useImage, "useImage");
+const ARRIVED_STATE_THRESHOLD_PIXELS = 1;
+function useScroll(element, options3 = {}) {
+  const {
+    throttle: throttle2 = 0,
+    idle = 200,
+    onStop = noop,
+    onScroll: onScroll3 = noop,
+    offset = {
+      left: 0,
+      right: 0,
+      top: 0,
+      bottom: 0
+    },
+    eventListenerOptions = {
+      capture: false,
+      passive: true
+    },
+    behavior = "auto",
+    window: window2 = defaultWindow,
+    onError = /* @__PURE__ */ __name((e) => {
+      console.error(e);
+    }, "onError")
+  } = options3;
+  const internalX = ref(0);
+  const internalY = ref(0);
+  const x2 = computed({
+    get() {
+      return internalX.value;
+    },
+    set(x22) {
+      scrollTo22(x22, void 0);
+    }
+  });
+  const y2 = computed({
+    get() {
+      return internalY.value;
+    },
+    set(y22) {
+      scrollTo22(void 0, y22);
+    }
+  });
+  function scrollTo22(_x, _y) {
+    var _a, _b, _c, _d;
+    if (!window2)
+      return;
+    const _element = toValue(element);
+    if (!_element)
+      return;
+    (_c = _element instanceof Document ? window2.document.body : _element) == null ? void 0 : _c.scrollTo({
+      top: (_a = toValue(_y)) != null ? _a : y2.value,
+      left: (_b = toValue(_x)) != null ? _b : x2.value,
+      behavior: toValue(behavior)
+    });
+    const scrollContainer = ((_d = _element == null ? void 0 : _element.document) == null ? void 0 : _d.documentElement) || (_element == null ? void 0 : _element.documentElement) || _element;
+    if (x2 != null)
+      internalX.value = scrollContainer.scrollLeft;
+    if (y2 != null)
+      internalY.value = scrollContainer.scrollTop;
+  }
+  __name(scrollTo22, "scrollTo2");
+  const isScrolling = ref(false);
+  const arrivedState = reactive({
+    left: true,
+    right: false,
+    top: true,
+    bottom: false
+  });
+  const directions = reactive({
+    left: false,
+    right: false,
+    top: false,
+    bottom: false
+  });
+  const onScrollEnd = /* @__PURE__ */ __name((e) => {
+    if (!isScrolling.value)
+      return;
+    isScrolling.value = false;
+    directions.left = false;
+    directions.right = false;
+    directions.top = false;
+    directions.bottom = false;
+    onStop(e);
+  }, "onScrollEnd");
+  const onScrollEndDebounced = useDebounceFn(onScrollEnd, throttle2 + idle);
+  const setArrivedState = /* @__PURE__ */ __name((target) => {
+    var _a;
+    if (!window2)
+      return;
+    const el = ((_a = target == null ? void 0 : target.document) == null ? void 0 : _a.documentElement) || (target == null ? void 0 : target.documentElement) || unrefElement(target);
+    const { display, flexDirection } = getComputedStyle(el);
+    const scrollLeft = el.scrollLeft;
+    directions.left = scrollLeft < internalX.value;
+    directions.right = scrollLeft > internalX.value;
+    const left = Math.abs(scrollLeft) <= (offset.left || 0);
+    const right = Math.abs(scrollLeft) + el.clientWidth >= el.scrollWidth - (offset.right || 0) - ARRIVED_STATE_THRESHOLD_PIXELS;
+    if (display === "flex" && flexDirection === "row-reverse") {
+      arrivedState.left = right;
+      arrivedState.right = left;
+    } else {
+      arrivedState.left = left;
+      arrivedState.right = right;
+    }
+    internalX.value = scrollLeft;
+    let scrollTop2 = el.scrollTop;
+    if (target === window2.document && !scrollTop2)
+      scrollTop2 = window2.document.body.scrollTop;
+    directions.top = scrollTop2 < internalY.value;
+    directions.bottom = scrollTop2 > internalY.value;
+    const top = Math.abs(scrollTop2) <= (offset.top || 0);
+    const bottom = Math.abs(scrollTop2) + el.clientHeight >= el.scrollHeight - (offset.bottom || 0) - ARRIVED_STATE_THRESHOLD_PIXELS;
+    if (display === "flex" && flexDirection === "column-reverse") {
+      arrivedState.top = bottom;
+      arrivedState.bottom = top;
+    } else {
+      arrivedState.top = top;
+      arrivedState.bottom = bottom;
+    }
+    internalY.value = scrollTop2;
+  }, "setArrivedState");
+  const onScrollHandler = /* @__PURE__ */ __name((e) => {
+    var _a;
+    if (!window2)
+      return;
+    const eventTarget = (_a = e.target.documentElement) != null ? _a : e.target;
+    setArrivedState(eventTarget);
+    isScrolling.value = true;
+    onScrollEndDebounced(e);
+    onScroll3(e);
+  }, "onScrollHandler");
+  useEventListener(
+    element,
+    "scroll",
+    throttle2 ? useThrottleFn(onScrollHandler, throttle2, true, false) : onScrollHandler,
+    eventListenerOptions
+  );
+  tryOnMounted(() => {
+    try {
+      const _element = toValue(element);
+      if (!_element)
+        return;
+      setArrivedState(_element);
+    } catch (e) {
+      onError(e);
+    }
+  });
+  useEventListener(
+    element,
+    "scrollend",
+    onScrollEnd,
+    eventListenerOptions
+  );
+  return {
+    x: x2,
+    y: y2,
+    isScrolling,
+    arrivedState,
+    directions,
+    measure() {
+      const _element = toValue(element);
+      if (window2 && _element)
+        setArrivedState(_element);
+    }
+  };
+}
+__name(useScroll, "useScroll");
+function resolveElement(el) {
+  if (typeof Window !== "undefined" && el instanceof Window)
+    return el.document.documentElement;
+  if (typeof Document !== "undefined" && el instanceof Document)
+    return el.documentElement;
+  return el;
+}
+__name(resolveElement, "resolveElement");
+function useInfiniteScroll(element, onLoadMore, options3 = {}) {
+  var _a;
+  const {
+    direction = "bottom",
+    interval = 100,
+    canLoadMore = /* @__PURE__ */ __name(() => true, "canLoadMore")
+  } = options3;
+  const state = reactive(useScroll(
+    element,
+    {
+      ...options3,
+      offset: {
+        [direction]: (_a = options3.distance) != null ? _a : 0,
+        ...options3.offset
+      }
+    }
+  ));
+  const promise = ref();
+  const isLoading = computed(() => !!promise.value);
+  const observedElement = computed(() => {
+    return resolveElement(toValue(element));
+  });
+  const isElementVisible = useElementVisibility(observedElement);
+  function checkAndLoad() {
+    state.measure();
+    if (!observedElement.value || !isElementVisible.value || !canLoadMore(observedElement.value))
+      return;
+    const { scrollHeight: scrollHeight2, clientHeight, scrollWidth: scrollWidth2, clientWidth } = observedElement.value;
+    const isNarrower = direction === "bottom" || direction === "top" ? scrollHeight2 <= clientHeight : scrollWidth2 <= clientWidth;
+    if (state.arrivedState[direction] || isNarrower) {
+      if (!promise.value) {
+        promise.value = Promise.all([
+          onLoadMore(state),
+          new Promise((resolve8) => setTimeout(resolve8, interval))
+        ]).finally(() => {
+          promise.value = null;
+          nextTick(() => checkAndLoad());
+        });
+      }
+    }
+  }
+  __name(checkAndLoad, "checkAndLoad");
+  watch(
+    () => [state.arrivedState[direction], isElementVisible.value],
+    checkAndLoad,
+    { immediate: true }
+  );
+  return {
+    isLoading,
+    reset() {
+      nextTick(() => checkAndLoad());
+    }
+  };
+}
+__name(useInfiniteScroll, "useInfiniteScroll");
+const defaultEvents = ["mousedown", "mouseup", "keydown", "keyup"];
+function useKeyModifier(modifier, options3 = {}) {
+  const {
+    events: events2 = defaultEvents,
+    document: document2 = defaultDocument,
+    initial = null
+  } = options3;
+  const state = ref(initial);
+  if (document2) {
+    events2.forEach((listenerEvent) => {
+      useEventListener(document2, listenerEvent, (evt) => {
+        if (typeof evt.getModifierState === "function")
+          state.value = evt.getModifierState(modifier);
+      });
+    });
+  }
+  return state;
+}
+__name(useKeyModifier, "useKeyModifier");
+function useLocalStorage(key, initialValue, options3 = {}) {
+  const { window: window2 = defaultWindow } = options3;
+  return useStorage(key, initialValue, window2 == null ? void 0 : window2.localStorage, options3);
+}
+__name(useLocalStorage, "useLocalStorage");
+const DefaultMagicKeysAliasMap = {
+  ctrl: "control",
+  command: "meta",
+  cmd: "meta",
+  option: "alt",
+  up: "arrowup",
+  down: "arrowdown",
+  left: "arrowleft",
+  right: "arrowright"
+};
+function useMagicKeys(options3 = {}) {
+  const {
+    reactive: useReactive = false,
+    target = defaultWindow,
+    aliasMap = DefaultMagicKeysAliasMap,
+    passive = true,
+    onEventFired = noop
+  } = options3;
+  const current = reactive(/* @__PURE__ */ new Set());
+  const obj = {
+    toJSON() {
+      return {};
+    },
+    current
+  };
+  const refs = useReactive ? reactive(obj) : obj;
+  const metaDeps = /* @__PURE__ */ new Set();
+  const usedKeys = /* @__PURE__ */ new Set();
+  function setRefs(key, value3) {
+    if (key in refs) {
+      if (useReactive)
+        refs[key] = value3;
+      else
+        refs[key].value = value3;
+    }
+  }
+  __name(setRefs, "setRefs");
+  function reset() {
+    current.clear();
+    for (const key of usedKeys)
+      setRefs(key, false);
+  }
+  __name(reset, "reset");
+  function updateRefs(e, value3) {
+    var _a, _b;
+    const key = (_a = e.key) == null ? void 0 : _a.toLowerCase();
+    const code2 = (_b = e.code) == null ? void 0 : _b.toLowerCase();
+    const values2 = [code2, key].filter(Boolean);
+    if (key) {
+      if (value3)
+        current.add(key);
+      else
+        current.delete(key);
+    }
+    for (const key2 of values2) {
+      usedKeys.add(key2);
+      setRefs(key2, value3);
+    }
+    if (key === "meta" && !value3) {
+      metaDeps.forEach((key2) => {
+        current.delete(key2);
+        setRefs(key2, false);
+      });
+      metaDeps.clear();
+    } else if (typeof e.getModifierState === "function" && e.getModifierState("Meta") && value3) {
+      [...current, ...values2].forEach((key2) => metaDeps.add(key2));
+    }
+  }
+  __name(updateRefs, "updateRefs");
+  useEventListener(target, "keydown", (e) => {
+    updateRefs(e, true);
+    return onEventFired(e);
+  }, { passive });
+  useEventListener(target, "keyup", (e) => {
+    updateRefs(e, false);
+    return onEventFired(e);
+  }, { passive });
+  useEventListener("blur", reset, { passive: true });
+  useEventListener("focus", reset, { passive: true });
+  const proxy = new Proxy(
+    refs,
+    {
+      get(target2, prop2, rec) {
+        if (typeof prop2 !== "string")
+          return Reflect.get(target2, prop2, rec);
+        prop2 = prop2.toLowerCase();
+        if (prop2 in aliasMap)
+          prop2 = aliasMap[prop2];
+        if (!(prop2 in refs)) {
+          if (/[+_-]/.test(prop2)) {
+            const keys2 = prop2.split(/[+_-]/g).map((i2) => i2.trim());
+            refs[prop2] = computed(() => keys2.every((key) => toValue(proxy[key])));
+          } else {
+            refs[prop2] = ref(false);
+          }
+        }
+        const r = Reflect.get(target2, prop2, rec);
+        return useReactive ? toValue(r) : r;
+      }
+    }
+  );
+  return proxy;
+}
+__name(useMagicKeys, "useMagicKeys");
+function usingElRef(source, cb) {
+  if (toValue(source))
+    cb(toValue(source));
+}
+__name(usingElRef, "usingElRef");
+function timeRangeToArray(timeRanges) {
+  let ranges = [];
+  for (let i2 = 0; i2 < timeRanges.length; ++i2)
+    ranges = [...ranges, [timeRanges.start(i2), timeRanges.end(i2)]];
+  return ranges;
+}
+__name(timeRangeToArray, "timeRangeToArray");
+function tracksToArray(tracks) {
+  return Array.from(tracks).map(({ label: label5, kind, language, mode: mode2, activeCues, cues, inBandMetadataTrackDispatchType }, id2) => ({ id: id2, label: label5, kind, language, mode: mode2, activeCues, cues, inBandMetadataTrackDispatchType }));
+}
+__name(tracksToArray, "tracksToArray");
+const defaultOptions$1 = {
+  src: "",
+  tracks: []
+};
+function useMediaControls(target, options3 = {}) {
+  target = toRef(target);
+  options3 = {
+    ...defaultOptions$1,
+    ...options3
+  };
+  const {
+    document: document2 = defaultDocument
+  } = options3;
+  const currentTime = ref(0);
+  const duration = ref(0);
+  const seeking = ref(false);
+  const volume = ref(1);
+  const waiting = ref(false);
+  const ended = ref(false);
+  const playing = ref(false);
+  const rate = ref(1);
+  const stalled = ref(false);
+  const buffered = ref([]);
+  const tracks = ref([]);
+  const selectedTrack = ref(-1);
+  const isPictureInPicture = ref(false);
+  const muted = ref(false);
+  const supportsPictureInPicture = document2 && "pictureInPictureEnabled" in document2;
+  const sourceErrorEvent = createEventHook();
+  const disableTrack = /* @__PURE__ */ __name((track2) => {
+    usingElRef(target, (el) => {
+      if (track2) {
+        const id2 = typeof track2 === "number" ? track2 : track2.id;
+        el.textTracks[id2].mode = "disabled";
+      } else {
+        for (let i2 = 0; i2 < el.textTracks.length; ++i2)
+          el.textTracks[i2].mode = "disabled";
+      }
+      selectedTrack.value = -1;
+    });
+  }, "disableTrack");
+  const enableTrack = /* @__PURE__ */ __name((track2, disableTracks = true) => {
+    usingElRef(target, (el) => {
+      const id2 = typeof track2 === "number" ? track2 : track2.id;
+      if (disableTracks)
+        disableTrack();
+      el.textTracks[id2].mode = "showing";
+      selectedTrack.value = id2;
+    });
+  }, "enableTrack");
+  const togglePictureInPicture = /* @__PURE__ */ __name(() => {
+    return new Promise((resolve8, reject2) => {
+      usingElRef(target, async (el) => {
+        if (supportsPictureInPicture) {
+          if (!isPictureInPicture.value) {
+            el.requestPictureInPicture().then(resolve8).catch(reject2);
+          } else {
+            document2.exitPictureInPicture().then(resolve8).catch(reject2);
+          }
+        }
+      });
+    });
+  }, "togglePictureInPicture");
+  watchEffect(() => {
+    if (!document2)
+      return;
+    const el = toValue(target);
+    if (!el)
+      return;
+    const src = toValue(options3.src);
+    let sources = [];
+    if (!src)
+      return;
+    if (typeof src === "string")
+      sources = [{ src }];
+    else if (Array.isArray(src))
+      sources = src;
+    else if (isObject$3(src))
+      sources = [src];
+    el.querySelectorAll("source").forEach((e) => {
+      e.removeEventListener("error", sourceErrorEvent.trigger);
+      e.remove();
+    });
+    sources.forEach(({ src: src2, type }) => {
+      const source = document2.createElement("source");
+      source.setAttribute("src", src2);
+      source.setAttribute("type", type || "");
+      source.addEventListener("error", sourceErrorEvent.trigger);
+      el.appendChild(source);
+    });
+    el.load();
+  });
+  tryOnScopeDispose(() => {
+    const el = toValue(target);
+    if (!el)
+      return;
+    el.querySelectorAll("source").forEach((e) => e.removeEventListener("error", sourceErrorEvent.trigger));
+  });
+  watch([target, volume], () => {
+    const el = toValue(target);
+    if (!el)
+      return;
+    el.volume = volume.value;
+  });
+  watch([target, muted], () => {
+    const el = toValue(target);
+    if (!el)
+      return;
+    el.muted = muted.value;
+  });
+  watch([target, rate], () => {
+    const el = toValue(target);
+    if (!el)
+      return;
+    el.playbackRate = rate.value;
+  });
+  watchEffect(() => {
+    if (!document2)
+      return;
+    const textTracks = toValue(options3.tracks);
+    const el = toValue(target);
+    if (!textTracks || !textTracks.length || !el)
+      return;
+    el.querySelectorAll("track").forEach((e) => e.remove());
+    textTracks.forEach(({ default: isDefault, kind, label: label5, src, srcLang }, i2) => {
+      const track2 = document2.createElement("track");
+      track2.default = isDefault || false;
+      track2.kind = kind;
+      track2.label = label5;
+      track2.src = src;
+      track2.srclang = srcLang;
+      if (track2.default)
+        selectedTrack.value = i2;
+      el.appendChild(track2);
+    });
+  });
+  const { ignoreUpdates: ignoreCurrentTimeUpdates } = watchIgnorable(currentTime, (time) => {
+    const el = toValue(target);
+    if (!el)
+      return;
+    el.currentTime = time;
+  });
+  const { ignoreUpdates: ignorePlayingUpdates } = watchIgnorable(playing, (isPlaying) => {
+    const el = toValue(target);
+    if (!el)
+      return;
+    if (isPlaying)
+      el.play();
+    else
+      el.pause();
+  });
+  useEventListener(target, "timeupdate", () => ignoreCurrentTimeUpdates(() => currentTime.value = toValue(target).currentTime));
+  useEventListener(target, "durationchange", () => duration.value = toValue(target).duration);
+  useEventListener(target, "progress", () => buffered.value = timeRangeToArray(toValue(target).buffered));
+  useEventListener(target, "seeking", () => seeking.value = true);
+  useEventListener(target, "seeked", () => seeking.value = false);
+  useEventListener(target, ["waiting", "loadstart"], () => {
+    waiting.value = true;
+    ignorePlayingUpdates(() => playing.value = false);
+  });
+  useEventListener(target, "loadeddata", () => waiting.value = false);
+  useEventListener(target, "playing", () => {
+    waiting.value = false;
+    ended.value = false;
+    ignorePlayingUpdates(() => playing.value = true);
+  });
+  useEventListener(target, "ratechange", () => rate.value = toValue(target).playbackRate);
+  useEventListener(target, "stalled", () => stalled.value = true);
+  useEventListener(target, "ended", () => ended.value = true);
+  useEventListener(target, "pause", () => ignorePlayingUpdates(() => playing.value = false));
+  useEventListener(target, "play", () => ignorePlayingUpdates(() => playing.value = true));
+  useEventListener(target, "enterpictureinpicture", () => isPictureInPicture.value = true);
+  useEventListener(target, "leavepictureinpicture", () => isPictureInPicture.value = false);
+  useEventListener(target, "volumechange", () => {
+    const el = toValue(target);
+    if (!el)
+      return;
+    volume.value = el.volume;
+    muted.value = el.muted;
+  });
+  const listeners = [];
+  const stop2 = watch([target], () => {
+    const el = toValue(target);
+    if (!el)
+      return;
+    stop2();
+    listeners[0] = useEventListener(el.textTracks, "addtrack", () => tracks.value = tracksToArray(el.textTracks));
+    listeners[1] = useEventListener(el.textTracks, "removetrack", () => tracks.value = tracksToArray(el.textTracks));
+    listeners[2] = useEventListener(el.textTracks, "change", () => tracks.value = tracksToArray(el.textTracks));
+  });
+  tryOnScopeDispose(() => listeners.forEach((listener) => listener()));
+  return {
+    currentTime,
+    duration,
+    waiting,
+    seeking,
+    ended,
+    stalled,
+    buffered,
+    playing,
+    rate,
+    // Volume
+    volume,
+    muted,
+    // Tracks
+    tracks,
+    selectedTrack,
+    enableTrack,
+    disableTrack,
+    // Picture in Picture
+    supportsPictureInPicture,
+    togglePictureInPicture,
+    isPictureInPicture,
+    // Events
+    onSourceError: sourceErrorEvent.on
+  };
+}
+__name(useMediaControls, "useMediaControls");
+function getMapVue2Compat() {
+  const data24 = shallowReactive({});
+  return {
+    get: /* @__PURE__ */ __name((key) => data24[key], "get"),
+    set: /* @__PURE__ */ __name((key, value3) => set(data24, key, value3), "set"),
+    has: /* @__PURE__ */ __name((key) => hasOwn$2(data24, key), "has"),
+    delete: /* @__PURE__ */ __name((key) => del(data24, key), "delete"),
+    clear: /* @__PURE__ */ __name(() => {
+      Object.keys(data24).forEach((key) => {
+        del(data24, key);
+      });
+    }, "clear")
+  };
+}
+__name(getMapVue2Compat, "getMapVue2Compat");
+function useMemoize(resolver, options3) {
+  const initCache = /* @__PURE__ */ __name(() => {
+    if (options3 == null ? void 0 : options3.cache)
+      return shallowReactive(options3.cache);
+    if (isVue2)
+      return getMapVue2Compat();
+    return shallowReactive(/* @__PURE__ */ new Map());
+  }, "initCache");
+  const cache2 = initCache();
+  const generateKey = /* @__PURE__ */ __name((...args) => (options3 == null ? void 0 : options3.getKey) ? options3.getKey(...args) : JSON.stringify(args), "generateKey");
+  const _loadData = /* @__PURE__ */ __name((key, ...args) => {
+    cache2.set(key, resolver(...args));
+    return cache2.get(key);
+  }, "_loadData");
+  const loadData = /* @__PURE__ */ __name((...args) => _loadData(generateKey(...args), ...args), "loadData");
+  const deleteData = /* @__PURE__ */ __name((...args) => {
+    cache2.delete(generateKey(...args));
+  }, "deleteData");
+  const clearData = /* @__PURE__ */ __name(() => {
+    cache2.clear();
+  }, "clearData");
+  const memoized = /* @__PURE__ */ __name((...args) => {
+    const key = generateKey(...args);
+    if (cache2.has(key))
+      return cache2.get(key);
+    return _loadData(key, ...args);
+  }, "memoized");
+  memoized.load = loadData;
+  memoized.delete = deleteData;
+  memoized.clear = clearData;
+  memoized.generateKey = generateKey;
+  memoized.cache = cache2;
+  return memoized;
+}
+__name(useMemoize, "useMemoize");
+function useMemory(options3 = {}) {
+  const memory = ref();
+  const isSupported2 = useSupported(() => typeof performance !== "undefined" && "memory" in performance);
+  if (isSupported2.value) {
+    const { interval = 1e3 } = options3;
+    useIntervalFn(() => {
+      memory.value = performance.memory;
+    }, interval, { immediate: options3.immediate, immediateCallback: options3.immediateCallback });
+  }
+  return { isSupported: isSupported2, memory };
+}
+__name(useMemory, "useMemory");
+const UseMouseBuiltinExtractors = {
+  page: /* @__PURE__ */ __name((event2) => [event2.pageX, event2.pageY], "page"),
+  client: /* @__PURE__ */ __name((event2) => [event2.clientX, event2.clientY], "client"),
+  screen: /* @__PURE__ */ __name((event2) => [event2.screenX, event2.screenY], "screen"),
+  movement: /* @__PURE__ */ __name((event2) => event2 instanceof Touch ? null : [event2.movementX, event2.movementY], "movement")
+};
+function useMouse(options3 = {}) {
+  const {
+    type = "page",
+    touch = true,
+    resetOnTouchEnds = false,
+    initialValue = { x: 0, y: 0 },
+    window: window2 = defaultWindow,
+    target = window2,
+    scroll = true,
+    eventFilter
+  } = options3;
+  let _prevMouseEvent = null;
+  const x2 = ref(initialValue.x);
+  const y2 = ref(initialValue.y);
+  const sourceType = ref(null);
+  const extractor = typeof type === "function" ? type : UseMouseBuiltinExtractors[type];
+  const mouseHandler = /* @__PURE__ */ __name((event2) => {
+    const result = extractor(event2);
+    _prevMouseEvent = event2;
+    if (result) {
+      [x2.value, y2.value] = result;
+      sourceType.value = "mouse";
+    }
+  }, "mouseHandler");
+  const touchHandler = /* @__PURE__ */ __name((event2) => {
+    if (event2.touches.length > 0) {
+      const result = extractor(event2.touches[0]);
+      if (result) {
+        [x2.value, y2.value] = result;
+        sourceType.value = "touch";
+      }
+    }
+  }, "touchHandler");
+  const scrollHandler = /* @__PURE__ */ __name(() => {
+    if (!_prevMouseEvent || !window2)
+      return;
+    const pos2 = extractor(_prevMouseEvent);
+    if (_prevMouseEvent instanceof MouseEvent && pos2) {
+      x2.value = pos2[0] + window2.scrollX;
+      y2.value = pos2[1] + window2.scrollY;
+    }
+  }, "scrollHandler");
+  const reset = /* @__PURE__ */ __name(() => {
+    x2.value = initialValue.x;
+    y2.value = initialValue.y;
+  }, "reset");
+  const mouseHandlerWrapper = eventFilter ? (event2) => eventFilter(() => mouseHandler(event2), {}) : (event2) => mouseHandler(event2);
+  const touchHandlerWrapper = eventFilter ? (event2) => eventFilter(() => touchHandler(event2), {}) : (event2) => touchHandler(event2);
+  const scrollHandlerWrapper = eventFilter ? () => eventFilter(() => scrollHandler(), {}) : () => scrollHandler();
+  if (target) {
+    const listenerOptions = { passive: true };
+    useEventListener(target, ["mousemove", "dragover"], mouseHandlerWrapper, listenerOptions);
+    if (touch && type !== "movement") {
+      useEventListener(target, ["touchstart", "touchmove"], touchHandlerWrapper, listenerOptions);
+      if (resetOnTouchEnds)
+        useEventListener(target, "touchend", reset, listenerOptions);
+    }
+    if (scroll && type === "page")
+      useEventListener(window2, "scroll", scrollHandlerWrapper, { passive: true });
+  }
+  return {
+    x: x2,
+    y: y2,
+    sourceType
+  };
+}
+__name(useMouse, "useMouse");
+function useMouseInElement(target, options3 = {}) {
+  const {
+    handleOutside = true,
+    window: window2 = defaultWindow
+  } = options3;
+  const type = options3.type || "page";
+  const { x: x2, y: y2, sourceType } = useMouse(options3);
+  const targetRef = ref(target != null ? target : window2 == null ? void 0 : window2.document.body);
+  const elementX = ref(0);
+  const elementY = ref(0);
+  const elementPositionX = ref(0);
+  const elementPositionY = ref(0);
+  const elementHeight = ref(0);
+  const elementWidth = ref(0);
+  const isOutside = ref(true);
+  let stop2 = /* @__PURE__ */ __name(() => {
+  }, "stop");
+  if (window2) {
+    stop2 = watch(
+      [targetRef, x2, y2],
+      () => {
+        const el = unrefElement(targetRef);
+        if (!el || !(el instanceof HTMLElement))
+          return;
+        const {
+          left,
+          top,
+          width: width2,
+          height
+        } = el.getBoundingClientRect();
+        elementPositionX.value = left + (type === "page" ? window2.pageXOffset : 0);
+        elementPositionY.value = top + (type === "page" ? window2.pageYOffset : 0);
+        elementHeight.value = height;
+        elementWidth.value = width2;
+        const elX = x2.value - elementPositionX.value;
+        const elY = y2.value - elementPositionY.value;
+        isOutside.value = width2 === 0 || height === 0 || elX < 0 || elY < 0 || elX > width2 || elY > height;
+        if (handleOutside || !isOutside.value) {
+          elementX.value = elX;
+          elementY.value = elY;
+        }
+      },
+      { immediate: true }
+    );
+    useEventListener(document, "mouseleave", () => {
+      isOutside.value = true;
+    });
+  }
+  return {
+    x: x2,
+    y: y2,
+    sourceType,
+    elementX,
+    elementY,
+    elementPositionX,
+    elementPositionY,
+    elementHeight,
+    elementWidth,
+    isOutside,
+    stop: stop2
+  };
+}
+__name(useMouseInElement, "useMouseInElement");
+function useMousePressed(options3 = {}) {
+  const {
+    touch = true,
+    drag = true,
+    capture = false,
+    initialValue = false,
+    window: window2 = defaultWindow
+  } = options3;
+  const pressed = ref(initialValue);
+  const sourceType = ref(null);
+  if (!window2) {
+    return {
+      pressed,
+      sourceType
+    };
+  }
+  const onPressed = /* @__PURE__ */ __name((srcType) => () => {
+    pressed.value = true;
+    sourceType.value = srcType;
+  }, "onPressed");
+  const onReleased = /* @__PURE__ */ __name(() => {
+    pressed.value = false;
+    sourceType.value = null;
+  }, "onReleased");
+  const target = computed(() => unrefElement(options3.target) || window2);
+  useEventListener(target, "mousedown", onPressed("mouse"), { passive: true, capture });
+  useEventListener(window2, "mouseleave", onReleased, { passive: true, capture });
+  useEventListener(window2, "mouseup", onReleased, { passive: true, capture });
+  if (drag) {
+    useEventListener(target, "dragstart", onPressed("mouse"), { passive: true, capture });
+    useEventListener(window2, "drop", onReleased, { passive: true, capture });
+    useEventListener(window2, "dragend", onReleased, { passive: true, capture });
+  }
+  if (touch) {
+    useEventListener(target, "touchstart", onPressed("touch"), { passive: true, capture });
+    useEventListener(window2, "touchend", onReleased, { passive: true, capture });
+    useEventListener(window2, "touchcancel", onReleased, { passive: true, capture });
+  }
+  return {
+    pressed,
+    sourceType
+  };
+}
+__name(useMousePressed, "useMousePressed");
+function useNavigatorLanguage(options3 = {}) {
+  const { window: window2 = defaultWindow } = options3;
+  const navigator2 = window2 == null ? void 0 : window2.navigator;
+  const isSupported2 = useSupported(() => navigator2 && "language" in navigator2);
+  const language = ref(navigator2 == null ? void 0 : navigator2.language);
+  useEventListener(window2, "languagechange", () => {
+    if (navigator2)
+      language.value = navigator2.language;
+  });
+  return {
+    isSupported: isSupported2,
+    language
+  };
+}
+__name(useNavigatorLanguage, "useNavigatorLanguage");
+function useNetwork(options3 = {}) {
+  const { window: window2 = defaultWindow } = options3;
+  const navigator2 = window2 == null ? void 0 : window2.navigator;
+  const isSupported2 = useSupported(() => navigator2 && "connection" in navigator2);
+  const isOnline = ref(true);
+  const saveData = ref(false);
+  const offlineAt = ref(void 0);
+  const onlineAt = ref(void 0);
+  const downlink = ref(void 0);
+  const downlinkMax = ref(void 0);
+  const rtt = ref(void 0);
+  const effectiveType = ref(void 0);
+  const type = ref("unknown");
+  const connection = isSupported2.value && navigator2.connection;
+  function updateNetworkInformation() {
+    if (!navigator2)
+      return;
+    isOnline.value = navigator2.onLine;
+    offlineAt.value = isOnline.value ? void 0 : Date.now();
+    onlineAt.value = isOnline.value ? Date.now() : void 0;
+    if (connection) {
+      downlink.value = connection.downlink;
+      downlinkMax.value = connection.downlinkMax;
+      effectiveType.value = connection.effectiveType;
+      rtt.value = connection.rtt;
+      saveData.value = connection.saveData;
+      type.value = connection.type;
+    }
+  }
+  __name(updateNetworkInformation, "updateNetworkInformation");
+  if (window2) {
+    useEventListener(window2, "offline", () => {
+      isOnline.value = false;
+      offlineAt.value = Date.now();
+    });
+    useEventListener(window2, "online", () => {
+      isOnline.value = true;
+      onlineAt.value = Date.now();
+    });
+  }
+  if (connection)
+    useEventListener(connection, "change", updateNetworkInformation, false);
+  updateNetworkInformation();
+  return {
+    isSupported: isSupported2,
+    isOnline,
+    saveData,
+    offlineAt,
+    onlineAt,
+    downlink,
+    downlinkMax,
+    effectiveType,
+    rtt,
+    type
+  };
+}
+__name(useNetwork, "useNetwork");
+function useNow(options3 = {}) {
+  const {
+    controls: exposeControls = false,
+    interval = "requestAnimationFrame"
+  } = options3;
+  const now2 = ref(/* @__PURE__ */ new Date());
+  const update2 = /* @__PURE__ */ __name(() => now2.value = /* @__PURE__ */ new Date(), "update");
+  const controls = interval === "requestAnimationFrame" ? useRafFn(update2, { immediate: true }) : useIntervalFn(update2, interval, { immediate: true });
+  if (exposeControls) {
+    return {
+      now: now2,
+      ...controls
+    };
+  } else {
+    return now2;
+  }
+}
+__name(useNow, "useNow");
+function useObjectUrl(object) {
+  const url = ref();
+  const release = /* @__PURE__ */ __name(() => {
+    if (url.value)
+      URL.revokeObjectURL(url.value);
+    url.value = void 0;
+  }, "release");
+  watch(
+    () => toValue(object),
+    (newObject) => {
+      release();
+      if (newObject)
+        url.value = URL.createObjectURL(newObject);
+    },
+    { immediate: true }
+  );
+  tryOnScopeDispose(release);
+  return readonly(url);
+}
+__name(useObjectUrl, "useObjectUrl");
+function useClamp(value3, min, max) {
+  if (typeof value3 === "function" || isReadonly(value3))
+    return computed(() => clamp(toValue(value3), toValue(min), toValue(max)));
+  const _value = ref(value3);
+  return computed({
+    get() {
+      return _value.value = clamp(_value.value, toValue(min), toValue(max));
+    },
+    set(value22) {
+      _value.value = clamp(value22, toValue(min), toValue(max));
+    }
+  });
+}
+__name(useClamp, "useClamp");
+function useOffsetPagination(options3) {
+  const {
+    total = Number.POSITIVE_INFINITY,
+    pageSize = 10,
+    page = 1,
+    onPageChange = noop,
+    onPageSizeChange = noop,
+    onPageCountChange = noop
+  } = options3;
+  const currentPageSize = useClamp(pageSize, 1, Number.POSITIVE_INFINITY);
+  const pageCount = computed(() => Math.max(
+    1,
+    Math.ceil(toValue(total) / toValue(currentPageSize))
+  ));
+  const currentPage = useClamp(page, 1, pageCount);
+  const isFirstPage = computed(() => currentPage.value === 1);
+  const isLastPage = computed(() => currentPage.value === pageCount.value);
+  if (isRef(page)) {
+    syncRef(page, currentPage, {
+      direction: isReadonly(page) ? "ltr" : "both"
+    });
+  }
+  if (isRef(pageSize)) {
+    syncRef(pageSize, currentPageSize, {
+      direction: isReadonly(pageSize) ? "ltr" : "both"
+    });
+  }
+  function prev2() {
+    currentPage.value--;
+  }
+  __name(prev2, "prev");
+  function next2() {
+    currentPage.value++;
+  }
+  __name(next2, "next");
+  const returnValue = {
+    currentPage,
+    currentPageSize,
+    pageCount,
+    isFirstPage,
+    isLastPage,
+    prev: prev2,
+    next: next2
+  };
+  watch(currentPage, () => {
+    onPageChange(reactive(returnValue));
+  });
+  watch(currentPageSize, () => {
+    onPageSizeChange(reactive(returnValue));
+  });
+  watch(pageCount, () => {
+    onPageCountChange(reactive(returnValue));
+  });
+  return returnValue;
+}
+__name(useOffsetPagination, "useOffsetPagination");
+function useOnline(options3 = {}) {
+  const { isOnline } = useNetwork(options3);
+  return isOnline;
+}
+__name(useOnline, "useOnline");
+function usePageLeave(options3 = {}) {
+  const { window: window2 = defaultWindow } = options3;
+  const isLeft = ref(false);
+  const handler6 = /* @__PURE__ */ __name((event2) => {
+    if (!window2)
+      return;
+    event2 = event2 || window2.event;
+    const from = event2.relatedTarget || event2.toElement;
+    isLeft.value = !from;
+  }, "handler");
+  if (window2) {
+    useEventListener(window2, "mouseout", handler6, { passive: true });
+    useEventListener(window2.document, "mouseleave", handler6, { passive: true });
+    useEventListener(window2.document, "mouseenter", handler6, { passive: true });
+  }
+  return isLeft;
+}
+__name(usePageLeave, "usePageLeave");
+function useScreenOrientation(options3 = {}) {
+  const {
+    window: window2 = defaultWindow
+  } = options3;
+  const isSupported2 = useSupported(() => window2 && "screen" in window2 && "orientation" in window2.screen);
+  const screenOrientation = isSupported2.value ? window2.screen.orientation : {};
+  const orientation2 = ref(screenOrientation.type);
+  const angle = ref(screenOrientation.angle || 0);
+  if (isSupported2.value) {
+    useEventListener(window2, "orientationchange", () => {
+      orientation2.value = screenOrientation.type;
+      angle.value = screenOrientation.angle;
+    });
+  }
+  const lockOrientation = /* @__PURE__ */ __name((type) => {
+    if (isSupported2.value && typeof screenOrientation.lock === "function")
+      return screenOrientation.lock(type);
+    return Promise.reject(new Error("Not supported"));
+  }, "lockOrientation");
+  const unlockOrientation = /* @__PURE__ */ __name(() => {
+    if (isSupported2.value && typeof screenOrientation.unlock === "function")
+      screenOrientation.unlock();
+  }, "unlockOrientation");
+  return {
+    isSupported: isSupported2,
+    orientation: orientation2,
+    angle,
+    lockOrientation,
+    unlockOrientation
+  };
+}
+__name(useScreenOrientation, "useScreenOrientation");
+function useParallax(target, options3 = {}) {
+  const {
+    deviceOrientationTiltAdjust = /* @__PURE__ */ __name((i2) => i2, "deviceOrientationTiltAdjust"),
+    deviceOrientationRollAdjust = /* @__PURE__ */ __name((i2) => i2, "deviceOrientationRollAdjust"),
+    mouseTiltAdjust = /* @__PURE__ */ __name((i2) => i2, "mouseTiltAdjust"),
+    mouseRollAdjust = /* @__PURE__ */ __name((i2) => i2, "mouseRollAdjust"),
+    window: window2 = defaultWindow
+  } = options3;
+  const orientation2 = reactive(useDeviceOrientation({ window: window2 }));
+  const screenOrientation = reactive(useScreenOrientation({ window: window2 }));
+  const {
+    elementX: x2,
+    elementY: y2,
+    elementWidth: width2,
+    elementHeight: height
+  } = useMouseInElement(target, { handleOutside: false, window: window2 });
+  const source = computed(() => {
+    if (orientation2.isSupported && (orientation2.alpha != null && orientation2.alpha !== 0 || orientation2.gamma != null && orientation2.gamma !== 0)) {
+      return "deviceOrientation";
+    }
+    return "mouse";
+  });
+  const roll = computed(() => {
+    if (source.value === "deviceOrientation") {
+      let value3;
+      switch (screenOrientation.orientation) {
+        case "landscape-primary":
+          value3 = orientation2.gamma / 90;
+          break;
+        case "landscape-secondary":
+          value3 = -orientation2.gamma / 90;
+          break;
+        case "portrait-primary":
+          value3 = -orientation2.beta / 90;
+          break;
+        case "portrait-secondary":
+          value3 = orientation2.beta / 90;
+          break;
+        default:
+          value3 = -orientation2.beta / 90;
+      }
+      return deviceOrientationRollAdjust(value3);
+    } else {
+      const value3 = -(y2.value - height.value / 2) / height.value;
+      return mouseRollAdjust(value3);
+    }
+  });
+  const tilt = computed(() => {
+    if (source.value === "deviceOrientation") {
+      let value3;
+      switch (screenOrientation.orientation) {
+        case "landscape-primary":
+          value3 = orientation2.beta / 90;
+          break;
+        case "landscape-secondary":
+          value3 = -orientation2.beta / 90;
+          break;
+        case "portrait-primary":
+          value3 = orientation2.gamma / 90;
+          break;
+        case "portrait-secondary":
+          value3 = -orientation2.gamma / 90;
+          break;
+        default:
+          value3 = orientation2.gamma / 90;
+      }
+      return deviceOrientationTiltAdjust(value3);
+    } else {
+      const value3 = (x2.value - width2.value / 2) / width2.value;
+      return mouseTiltAdjust(value3);
+    }
+  });
+  return { roll, tilt, source };
+}
+__name(useParallax, "useParallax");
+function useParentElement(element = useCurrentElement()) {
+  const parentElement = shallowRef();
+  const update2 = /* @__PURE__ */ __name(() => {
+    const el = unrefElement(element);
+    if (el)
+      parentElement.value = el.parentElement;
+  }, "update");
+  tryOnMounted(update2);
+  watch(() => toValue(element), update2);
+  return parentElement;
+}
+__name(useParentElement, "useParentElement");
+function usePerformanceObserver(options3, callback) {
+  const {
+    window: window2 = defaultWindow,
+    immediate = true,
+    ...performanceOptions
+  } = options3;
+  const isSupported2 = useSupported(() => window2 && "PerformanceObserver" in window2);
+  let observer;
+  const stop2 = /* @__PURE__ */ __name(() => {
+    observer == null ? void 0 : observer.disconnect();
+  }, "stop");
+  const start2 = /* @__PURE__ */ __name(() => {
+    if (isSupported2.value) {
+      stop2();
+      observer = new PerformanceObserver(callback);
+      observer.observe(performanceOptions);
+    }
+  }, "start");
+  tryOnScopeDispose(stop2);
+  if (immediate)
+    start2();
+  return {
+    isSupported: isSupported2,
+    start: start2,
+    stop: stop2
+  };
+}
+__name(usePerformanceObserver, "usePerformanceObserver");
+const defaultState = {
+  x: 0,
+  y: 0,
+  pointerId: 0,
+  pressure: 0,
+  tiltX: 0,
+  tiltY: 0,
+  width: 0,
+  height: 0,
+  twist: 0,
+  pointerType: null
+};
+const keys = /* @__PURE__ */ Object.keys(defaultState);
+function usePointer(options3 = {}) {
+  const {
+    target = defaultWindow
+  } = options3;
+  const isInside = ref(false);
+  const state = ref(options3.initialValue || {});
+  Object.assign(state.value, defaultState, state.value);
+  const handler6 = /* @__PURE__ */ __name((event2) => {
+    isInside.value = true;
+    if (options3.pointerTypes && !options3.pointerTypes.includes(event2.pointerType))
+      return;
+    state.value = objectPick(event2, keys, false);
+  }, "handler");
+  if (target) {
+    const listenerOptions = { passive: true };
+    useEventListener(target, ["pointerdown", "pointermove", "pointerup"], handler6, listenerOptions);
+    useEventListener(target, "pointerleave", () => isInside.value = false, listenerOptions);
+  }
+  return {
+    ...toRefs(state),
+    isInside
+  };
+}
+__name(usePointer, "usePointer");
+function usePointerLock(target, options3 = {}) {
+  const { document: document2 = defaultDocument } = options3;
+  const isSupported2 = useSupported(() => document2 && "pointerLockElement" in document2);
+  const element = ref();
+  const triggerElement = ref();
+  let targetElement;
+  if (isSupported2.value) {
+    useEventListener(document2, "pointerlockchange", () => {
+      var _a;
+      const currentElement = (_a = document2.pointerLockElement) != null ? _a : element.value;
+      if (targetElement && currentElement === targetElement) {
+        element.value = document2.pointerLockElement;
+        if (!element.value)
+          targetElement = triggerElement.value = null;
+      }
+    });
+    useEventListener(document2, "pointerlockerror", () => {
+      var _a;
+      const currentElement = (_a = document2.pointerLockElement) != null ? _a : element.value;
+      if (targetElement && currentElement === targetElement) {
+        const action = document2.pointerLockElement ? "release" : "acquire";
+        throw new Error(`Failed to ${action} pointer lock.`);
+      }
+    });
+  }
+  async function lock(e) {
+    var _a;
+    if (!isSupported2.value)
+      throw new Error("Pointer Lock API is not supported by your browser.");
+    triggerElement.value = e instanceof Event ? e.currentTarget : null;
+    targetElement = e instanceof Event ? (_a = unrefElement(target)) != null ? _a : triggerElement.value : unrefElement(e);
+    if (!targetElement)
+      throw new Error("Target element undefined.");
+    targetElement.requestPointerLock();
+    return await until(element).toBe(targetElement);
+  }
+  __name(lock, "lock");
+  async function unlock() {
+    if (!element.value)
+      return false;
+    document2.exitPointerLock();
+    await until(element).toBeNull();
+    return true;
+  }
+  __name(unlock, "unlock");
+  return {
+    isSupported: isSupported2,
+    element,
+    triggerElement,
+    lock,
+    unlock
+  };
+}
+__name(usePointerLock, "usePointerLock");
+function usePointerSwipe(target, options3 = {}) {
+  const targetRef = toRef(target);
+  const {
+    threshold = 50,
+    onSwipe,
+    onSwipeEnd,
+    onSwipeStart,
+    disableTextSelect = false
+  } = options3;
+  const posStart = reactive({ x: 0, y: 0 });
+  const updatePosStart = /* @__PURE__ */ __name((x2, y2) => {
+    posStart.x = x2;
+    posStart.y = y2;
+  }, "updatePosStart");
+  const posEnd = reactive({ x: 0, y: 0 });
+  const updatePosEnd = /* @__PURE__ */ __name((x2, y2) => {
+    posEnd.x = x2;
+    posEnd.y = y2;
+  }, "updatePosEnd");
+  const distanceX = computed(() => posStart.x - posEnd.x);
+  const distanceY = computed(() => posStart.y - posEnd.y);
+  const { max, abs } = Math;
+  const isThresholdExceeded = computed(() => max(abs(distanceX.value), abs(distanceY.value)) >= threshold);
+  const isSwiping = ref(false);
+  const isPointerDown = ref(false);
+  const direction = computed(() => {
+    if (!isThresholdExceeded.value)
+      return "none";
+    if (abs(distanceX.value) > abs(distanceY.value)) {
+      return distanceX.value > 0 ? "left" : "right";
+    } else {
+      return distanceY.value > 0 ? "up" : "down";
+    }
+  });
+  const eventIsAllowed = /* @__PURE__ */ __name((e) => {
+    var _a, _b, _c;
+    const isReleasingButton = e.buttons === 0;
+    const isPrimaryButton = e.buttons === 1;
+    return (_c = (_b = (_a = options3.pointerTypes) == null ? void 0 : _a.includes(e.pointerType)) != null ? _b : isReleasingButton || isPrimaryButton) != null ? _c : true;
+  }, "eventIsAllowed");
+  const stops = [
+    useEventListener(target, "pointerdown", (e) => {
+      if (!eventIsAllowed(e))
+        return;
+      isPointerDown.value = true;
+      const eventTarget = e.target;
+      eventTarget == null ? void 0 : eventTarget.setPointerCapture(e.pointerId);
+      const { clientX: x2, clientY: y2 } = e;
+      updatePosStart(x2, y2);
+      updatePosEnd(x2, y2);
+      onSwipeStart == null ? void 0 : onSwipeStart(e);
+    }),
+    useEventListener(target, "pointermove", (e) => {
+      if (!eventIsAllowed(e))
+        return;
+      if (!isPointerDown.value)
+        return;
+      const { clientX: x2, clientY: y2 } = e;
+      updatePosEnd(x2, y2);
+      if (!isSwiping.value && isThresholdExceeded.value)
+        isSwiping.value = true;
+      if (isSwiping.value)
+        onSwipe == null ? void 0 : onSwipe(e);
+    }),
+    useEventListener(target, "pointerup", (e) => {
+      if (!eventIsAllowed(e))
+        return;
+      if (isSwiping.value)
+        onSwipeEnd == null ? void 0 : onSwipeEnd(e, direction.value);
+      isPointerDown.value = false;
+      isSwiping.value = false;
+    })
+  ];
+  tryOnMounted(() => {
+    var _a, _b, _c, _d, _e, _f, _g, _h;
+    (_b = (_a = targetRef.value) == null ? void 0 : _a.style) == null ? void 0 : _b.setProperty("touch-action", "none");
+    if (disableTextSelect) {
+      (_d = (_c = targetRef.value) == null ? void 0 : _c.style) == null ? void 0 : _d.setProperty("-webkit-user-select", "none");
+      (_f = (_e = targetRef.value) == null ? void 0 : _e.style) == null ? void 0 : _f.setProperty("-ms-user-select", "none");
+      (_h = (_g = targetRef.value) == null ? void 0 : _g.style) == null ? void 0 : _h.setProperty("user-select", "none");
+    }
+  });
+  const stop2 = /* @__PURE__ */ __name(() => stops.forEach((s) => s()), "stop");
+  return {
+    isSwiping: readonly(isSwiping),
+    direction: readonly(direction),
+    posStart: readonly(posStart),
+    posEnd: readonly(posEnd),
+    distanceX,
+    distanceY,
+    stop: stop2
+  };
+}
+__name(usePointerSwipe, "usePointerSwipe");
+function usePreferredColorScheme(options3) {
+  const isLight = useMediaQuery("(prefers-color-scheme: light)", options3);
+  const isDark = useMediaQuery("(prefers-color-scheme: dark)", options3);
+  return computed(() => {
+    if (isDark.value)
+      return "dark";
+    if (isLight.value)
+      return "light";
+    return "no-preference";
+  });
+}
+__name(usePreferredColorScheme, "usePreferredColorScheme");
+function usePreferredContrast(options3) {
+  const isMore = useMediaQuery("(prefers-contrast: more)", options3);
+  const isLess = useMediaQuery("(prefers-contrast: less)", options3);
+  const isCustom = useMediaQuery("(prefers-contrast: custom)", options3);
+  return computed(() => {
+    if (isMore.value)
+      return "more";
+    if (isLess.value)
+      return "less";
+    if (isCustom.value)
+      return "custom";
+    return "no-preference";
+  });
+}
+__name(usePreferredContrast, "usePreferredContrast");
+function usePreferredLanguages(options3 = {}) {
+  const { window: window2 = defaultWindow } = options3;
+  if (!window2)
+    return ref(["en"]);
+  const navigator2 = window2.navigator;
+  const value3 = ref(navigator2.languages);
+  useEventListener(window2, "languagechange", () => {
+    value3.value = navigator2.languages;
+  });
+  return value3;
+}
+__name(usePreferredLanguages, "usePreferredLanguages");
+function usePreferredReducedMotion(options3) {
+  const isReduced = useMediaQuery("(prefers-reduced-motion: reduce)", options3);
+  return computed(() => {
+    if (isReduced.value)
+      return "reduce";
+    return "no-preference";
+  });
+}
+__name(usePreferredReducedMotion, "usePreferredReducedMotion");
+function usePrevious(value3, initialValue) {
+  const previous = shallowRef(initialValue);
+  watch(
+    toRef(value3),
+    (_2, oldValue) => {
+      previous.value = oldValue;
+    },
+    { flush: "sync" }
+  );
+  return readonly(previous);
+}
+__name(usePrevious, "usePrevious");
+const topVarName = "--vueuse-safe-area-top";
+const rightVarName = "--vueuse-safe-area-right";
+const bottomVarName = "--vueuse-safe-area-bottom";
+const leftVarName = "--vueuse-safe-area-left";
+function useScreenSafeArea() {
+  const top = ref("");
+  const right = ref("");
+  const bottom = ref("");
+  const left = ref("");
+  if (isClient) {
+    const topCssVar = useCssVar(topVarName);
+    const rightCssVar = useCssVar(rightVarName);
+    const bottomCssVar = useCssVar(bottomVarName);
+    const leftCssVar = useCssVar(leftVarName);
+    topCssVar.value = "env(safe-area-inset-top, 0px)";
+    rightCssVar.value = "env(safe-area-inset-right, 0px)";
+    bottomCssVar.value = "env(safe-area-inset-bottom, 0px)";
+    leftCssVar.value = "env(safe-area-inset-left, 0px)";
+    update2();
+    useEventListener("resize", useDebounceFn(update2));
+  }
+  function update2() {
+    top.value = getValue(topVarName);
+    right.value = getValue(rightVarName);
+    bottom.value = getValue(bottomVarName);
+    left.value = getValue(leftVarName);
+  }
+  __name(update2, "update");
+  return {
+    top,
+    right,
+    bottom,
+    left,
+    update: update2
+  };
+}
+__name(useScreenSafeArea, "useScreenSafeArea");
+function getValue(position2) {
+  return getComputedStyle(document.documentElement).getPropertyValue(position2);
+}
+__name(getValue, "getValue");
+function useScriptTag(src, onLoaded = noop, options3 = {}) {
+  const {
+    immediate = true,
+    manual = false,
+    type = "text/javascript",
+    async = true,
+    crossOrigin,
+    referrerPolicy,
+    noModule,
+    defer,
+    document: document2 = defaultDocument,
+    attrs: attrs3 = {}
+  } = options3;
+  const scriptTag = ref(null);
+  let _promise = null;
+  const loadScript = /* @__PURE__ */ __name((waitForScriptLoad) => new Promise((resolve8, reject2) => {
+    const resolveWithElement = /* @__PURE__ */ __name((el2) => {
+      scriptTag.value = el2;
+      resolve8(el2);
+      return el2;
+    }, "resolveWithElement");
+    if (!document2) {
+      resolve8(false);
+      return;
+    }
+    let shouldAppend = false;
+    let el = document2.querySelector(`script[src="${toValue(src)}"]`);
+    if (!el) {
+      el = document2.createElement("script");
+      el.type = type;
+      el.async = async;
+      el.src = toValue(src);
+      if (defer)
+        el.defer = defer;
+      if (crossOrigin)
+        el.crossOrigin = crossOrigin;
+      if (noModule)
+        el.noModule = noModule;
+      if (referrerPolicy)
+        el.referrerPolicy = referrerPolicy;
+      Object.entries(attrs3).forEach(([name, value3]) => el == null ? void 0 : el.setAttribute(name, value3));
+      shouldAppend = true;
+    } else if (el.hasAttribute("data-loaded")) {
+      resolveWithElement(el);
+    }
+    el.addEventListener("error", (event2) => reject2(event2));
+    el.addEventListener("abort", (event2) => reject2(event2));
+    el.addEventListener("load", () => {
+      el.setAttribute("data-loaded", "true");
+      onLoaded(el);
+      resolveWithElement(el);
+    });
+    if (shouldAppend)
+      el = document2.head.appendChild(el);
+    if (!waitForScriptLoad)
+      resolveWithElement(el);
+  }), "loadScript");
+  const load2 = /* @__PURE__ */ __name((waitForScriptLoad = true) => {
+    if (!_promise)
+      _promise = loadScript(waitForScriptLoad);
+    return _promise;
+  }, "load");
+  const unload = /* @__PURE__ */ __name(() => {
+    if (!document2)
+      return;
+    _promise = null;
+    if (scriptTag.value)
+      scriptTag.value = null;
+    const el = document2.querySelector(`script[src="${toValue(src)}"]`);
+    if (el)
+      document2.head.removeChild(el);
+  }, "unload");
+  if (immediate && !manual)
+    tryOnMounted(load2);
+  if (!manual)
+    tryOnUnmounted(unload);
+  return { scriptTag, load: load2, unload };
+}
+__name(useScriptTag, "useScriptTag");
+function checkOverflowScroll(ele) {
+  const style = window.getComputedStyle(ele);
+  if (style.overflowX === "scroll" || style.overflowY === "scroll" || style.overflowX === "auto" && ele.clientWidth < ele.scrollWidth || style.overflowY === "auto" && ele.clientHeight < ele.scrollHeight) {
+    return true;
+  } else {
+    const parent = ele.parentNode;
+    if (!parent || parent.tagName === "BODY")
+      return false;
+    return checkOverflowScroll(parent);
+  }
+}
+__name(checkOverflowScroll, "checkOverflowScroll");
+function preventDefault(rawEvent) {
+  const e = rawEvent || window.event;
+  const _target = e.target;
+  if (checkOverflowScroll(_target))
+    return false;
+  if (e.touches.length > 1)
+    return true;
+  if (e.preventDefault)
+    e.preventDefault();
+  return false;
+}
+__name(preventDefault, "preventDefault");
+const elInitialOverflow = /* @__PURE__ */ new WeakMap();
+function useScrollLock(element, initialState = false) {
+  const isLocked = ref(initialState);
+  let stopTouchMoveListener = null;
+  let initialOverflow = "";
+  watch(toRef(element), (el) => {
+    const target = resolveElement(toValue(el));
+    if (target) {
+      const ele = target;
+      if (!elInitialOverflow.get(ele))
+        elInitialOverflow.set(ele, ele.style.overflow);
+      if (ele.style.overflow !== "hidden")
+        initialOverflow = ele.style.overflow;
+      if (ele.style.overflow === "hidden")
+        return isLocked.value = true;
+      if (isLocked.value)
+        return ele.style.overflow = "hidden";
+    }
+  }, {
+    immediate: true
+  });
+  const lock = /* @__PURE__ */ __name(() => {
+    const el = resolveElement(toValue(element));
+    if (!el || isLocked.value)
+      return;
+    if (isIOS) {
+      stopTouchMoveListener = useEventListener(
+        el,
+        "touchmove",
+        (e) => {
+          preventDefault(e);
+        },
+        { passive: false }
+      );
+    }
+    el.style.overflow = "hidden";
+    isLocked.value = true;
+  }, "lock");
+  const unlock = /* @__PURE__ */ __name(() => {
+    const el = resolveElement(toValue(element));
+    if (!el || !isLocked.value)
+      return;
+    if (isIOS)
+      stopTouchMoveListener == null ? void 0 : stopTouchMoveListener();
+    el.style.overflow = initialOverflow;
+    elInitialOverflow.delete(el);
+    isLocked.value = false;
+  }, "unlock");
+  tryOnScopeDispose(unlock);
+  return computed({
+    get() {
+      return isLocked.value;
+    },
+    set(v2) {
+      if (v2)
+        lock();
+      else unlock();
+    }
+  });
+}
+__name(useScrollLock, "useScrollLock");
+function useSessionStorage(key, initialValue, options3 = {}) {
+  const { window: window2 = defaultWindow } = options3;
+  return useStorage(key, initialValue, window2 == null ? void 0 : window2.sessionStorage, options3);
+}
+__name(useSessionStorage, "useSessionStorage");
+function useShare(shareOptions = {}, options3 = {}) {
+  const { navigator: navigator2 = defaultNavigator } = options3;
+  const _navigator2 = navigator2;
+  const isSupported2 = useSupported(() => _navigator2 && "canShare" in _navigator2);
+  const share = /* @__PURE__ */ __name(async (overrideOptions = {}) => {
+    if (isSupported2.value) {
+      const data24 = {
+        ...toValue(shareOptions),
+        ...toValue(overrideOptions)
+      };
+      let granted = true;
+      if (data24.files && _navigator2.canShare)
+        granted = _navigator2.canShare({ files: data24.files });
+      if (granted)
+        return _navigator2.share(data24);
+    }
+  }, "share");
+  return {
+    isSupported: isSupported2,
+    share
+  };
+}
+__name(useShare, "useShare");
+const defaultSortFn = /* @__PURE__ */ __name((source, compareFn) => source.sort(compareFn), "defaultSortFn");
+const defaultCompare = /* @__PURE__ */ __name((a, b) => a - b, "defaultCompare");
+function useSorted(...args) {
+  var _a, _b, _c, _d;
+  const [source] = args;
+  let compareFn = defaultCompare;
+  let options3 = {};
+  if (args.length === 2) {
+    if (typeof args[1] === "object") {
+      options3 = args[1];
+      compareFn = (_a = options3.compareFn) != null ? _a : defaultCompare;
+    } else {
+      compareFn = (_b = args[1]) != null ? _b : defaultCompare;
+    }
+  } else if (args.length > 2) {
+    compareFn = (_c = args[1]) != null ? _c : defaultCompare;
+    options3 = (_d = args[2]) != null ? _d : {};
+  }
+  const {
+    dirty = false,
+    sortFn = defaultSortFn
+  } = options3;
+  if (!dirty)
+    return computed(() => sortFn([...toValue(source)], compareFn));
+  watchEffect(() => {
+    const result = sortFn(toValue(source), compareFn);
+    if (isRef(source))
+      source.value = result;
+    else
+      source.splice(0, source.length, ...result);
+  });
+  return source;
+}
+__name(useSorted, "useSorted");
+function useSpeechRecognition(options3 = {}) {
+  const {
+    interimResults = true,
+    continuous = true,
+    maxAlternatives = 1,
+    window: window2 = defaultWindow
+  } = options3;
+  const lang = toRef(options3.lang || "en-US");
+  const isListening = ref(false);
+  const isFinal = ref(false);
+  const result = ref("");
+  const error = shallowRef(void 0);
+  const toggle4 = /* @__PURE__ */ __name((value3 = !isListening.value) => {
+    isListening.value = value3;
+  }, "toggle");
+  const start2 = /* @__PURE__ */ __name(() => {
+    isListening.value = true;
+  }, "start");
+  const stop2 = /* @__PURE__ */ __name(() => {
+    isListening.value = false;
+  }, "stop");
+  const SpeechRecognition = window2 && (window2.SpeechRecognition || window2.webkitSpeechRecognition);
+  const isSupported2 = useSupported(() => SpeechRecognition);
+  let recognition;
+  if (isSupported2.value) {
+    recognition = new SpeechRecognition();
+    recognition.continuous = continuous;
+    recognition.interimResults = interimResults;
+    recognition.lang = toValue(lang);
+    recognition.maxAlternatives = maxAlternatives;
+    recognition.onstart = () => {
+      isFinal.value = false;
+    };
+    watch(lang, (lang2) => {
+      if (recognition && !isListening.value)
+        recognition.lang = lang2;
+    });
+    recognition.onresult = (event2) => {
+      const currentResult = event2.results[event2.resultIndex];
+      const { transcript } = currentResult[0];
+      isFinal.value = currentResult.isFinal;
+      result.value = transcript;
+      error.value = void 0;
+    };
+    recognition.onerror = (event2) => {
+      error.value = event2;
+    };
+    recognition.onend = () => {
+      isListening.value = false;
+      recognition.lang = toValue(lang);
+    };
+    watch(isListening, () => {
+      if (isListening.value)
+        recognition.start();
+      else
+        recognition.stop();
+    });
+  }
+  tryOnScopeDispose(() => {
+    isListening.value = false;
+  });
+  return {
+    isSupported: isSupported2,
+    isListening,
+    isFinal,
+    recognition,
+    result,
+    error,
+    toggle: toggle4,
+    start: start2,
+    stop: stop2
+  };
+}
+__name(useSpeechRecognition, "useSpeechRecognition");
+function useSpeechSynthesis(text, options3 = {}) {
+  const {
+    pitch = 1,
+    rate = 1,
+    volume = 1,
+    window: window2 = defaultWindow
+  } = options3;
+  const synth = window2 && window2.speechSynthesis;
+  const isSupported2 = useSupported(() => synth);
+  const isPlaying = ref(false);
+  const status = ref("init");
+  const spokenText = toRef(text || "");
+  const lang = toRef(options3.lang || "en-US");
+  const error = shallowRef(void 0);
+  const toggle4 = /* @__PURE__ */ __name((value3 = !isPlaying.value) => {
+    isPlaying.value = value3;
+  }, "toggle");
+  const bindEventsForUtterance = /* @__PURE__ */ __name((utterance2) => {
+    utterance2.lang = toValue(lang);
+    utterance2.voice = toValue(options3.voice) || null;
+    utterance2.pitch = toValue(pitch);
+    utterance2.rate = toValue(rate);
+    utterance2.volume = volume;
+    utterance2.onstart = () => {
+      isPlaying.value = true;
+      status.value = "play";
+    };
+    utterance2.onpause = () => {
+      isPlaying.value = false;
+      status.value = "pause";
+    };
+    utterance2.onresume = () => {
+      isPlaying.value = true;
+      status.value = "play";
+    };
+    utterance2.onend = () => {
+      isPlaying.value = false;
+      status.value = "end";
+    };
+    utterance2.onerror = (event2) => {
+      error.value = event2;
+    };
+  }, "bindEventsForUtterance");
+  const utterance = computed(() => {
+    isPlaying.value = false;
+    status.value = "init";
+    const newUtterance = new SpeechSynthesisUtterance(spokenText.value);
+    bindEventsForUtterance(newUtterance);
+    return newUtterance;
+  });
+  const speak = /* @__PURE__ */ __name(() => {
+    synth.cancel();
+    if (utterance)
+      synth.speak(utterance.value);
+  }, "speak");
+  const stop2 = /* @__PURE__ */ __name(() => {
+    synth.cancel();
+    isPlaying.value = false;
+  }, "stop");
+  if (isSupported2.value) {
+    bindEventsForUtterance(utterance.value);
+    watch(lang, (lang2) => {
+      if (utterance.value && !isPlaying.value)
+        utterance.value.lang = lang2;
+    });
+    if (options3.voice) {
+      watch(options3.voice, () => {
+        synth.cancel();
+      });
+    }
+    watch(isPlaying, () => {
+      if (isPlaying.value)
+        synth.resume();
+      else
+        synth.pause();
+    });
+  }
+  tryOnScopeDispose(() => {
+    isPlaying.value = false;
+  });
+  return {
+    isSupported: isSupported2,
+    isPlaying,
+    status,
+    utterance,
+    error,
+    stop: stop2,
+    toggle: toggle4,
+    speak
+  };
+}
+__name(useSpeechSynthesis, "useSpeechSynthesis");
+function useStepper(steps, initialStep) {
+  const stepsRef = ref(steps);
+  const stepNames = computed(() => Array.isArray(stepsRef.value) ? stepsRef.value : Object.keys(stepsRef.value));
+  const index2 = ref(stepNames.value.indexOf(initialStep != null ? initialStep : stepNames.value[0]));
+  const current = computed(() => at(index2.value));
+  const isFirst = computed(() => index2.value === 0);
+  const isLast = computed(() => index2.value === stepNames.value.length - 1);
+  const next2 = computed(() => stepNames.value[index2.value + 1]);
+  const previous = computed(() => stepNames.value[index2.value - 1]);
+  function at(index22) {
+    if (Array.isArray(stepsRef.value))
+      return stepsRef.value[index22];
+    return stepsRef.value[stepNames.value[index22]];
+  }
+  __name(at, "at");
+  function get2(step2) {
+    if (!stepNames.value.includes(step2))
+      return;
+    return at(stepNames.value.indexOf(step2));
+  }
+  __name(get2, "get");
+  function goTo(step2) {
+    if (stepNames.value.includes(step2))
+      index2.value = stepNames.value.indexOf(step2);
+  }
+  __name(goTo, "goTo");
+  function goToNext() {
+    if (isLast.value)
+      return;
+    index2.value++;
+  }
+  __name(goToNext, "goToNext");
+  function goToPrevious() {
+    if (isFirst.value)
+      return;
+    index2.value--;
+  }
+  __name(goToPrevious, "goToPrevious");
+  function goBackTo(step2) {
+    if (isAfter(step2))
+      goTo(step2);
+  }
+  __name(goBackTo, "goBackTo");
+  function isNext(step2) {
+    return stepNames.value.indexOf(step2) === index2.value + 1;
+  }
+  __name(isNext, "isNext");
+  function isPrevious(step2) {
+    return stepNames.value.indexOf(step2) === index2.value - 1;
+  }
+  __name(isPrevious, "isPrevious");
+  function isCurrent(step2) {
+    return stepNames.value.indexOf(step2) === index2.value;
+  }
+  __name(isCurrent, "isCurrent");
+  function isBefore(step2) {
+    return index2.value < stepNames.value.indexOf(step2);
+  }
+  __name(isBefore, "isBefore");
+  function isAfter(step2) {
+    return index2.value > stepNames.value.indexOf(step2);
+  }
+  __name(isAfter, "isAfter");
+  return {
+    steps: stepsRef,
+    stepNames,
+    index: index2,
+    current,
+    next: next2,
+    previous,
+    isFirst,
+    isLast,
+    at,
+    get: get2,
+    goTo,
+    goToNext,
+    goToPrevious,
+    goBackTo,
+    isNext,
+    isPrevious,
+    isCurrent,
+    isBefore,
+    isAfter
+  };
+}
+__name(useStepper, "useStepper");
+function useStorageAsync(key, initialValue, storage, options3 = {}) {
+  var _a;
+  const {
+    flush = "pre",
+    deep = true,
+    listenToStorageChanges = true,
+    writeDefaults = true,
+    mergeDefaults: mergeDefaults2 = false,
+    shallow,
+    window: window2 = defaultWindow,
+    eventFilter,
+    onError = /* @__PURE__ */ __name((e) => {
+      console.error(e);
+    }, "onError")
+  } = options3;
+  const rawInit = toValue(initialValue);
+  const type = guessSerializerType(rawInit);
+  const data24 = (shallow ? shallowRef : ref)(initialValue);
+  const serializer = (_a = options3.serializer) != null ? _a : StorageSerializers[type];
+  if (!storage) {
+    try {
+      storage = getSSRHandler("getDefaultStorageAsync", () => {
+        var _a2;
+        return (_a2 = defaultWindow) == null ? void 0 : _a2.localStorage;
+      })();
+    } catch (e) {
+      onError(e);
+    }
+  }
+  async function read(event2) {
+    if (!storage || event2 && event2.key !== key)
+      return;
+    try {
+      const rawValue = event2 ? event2.newValue : await storage.getItem(key);
+      if (rawValue == null) {
+        data24.value = rawInit;
+        if (writeDefaults && rawInit !== null)
+          await storage.setItem(key, await serializer.write(rawInit));
+      } else if (mergeDefaults2) {
+        const value3 = await serializer.read(rawValue);
+        if (typeof mergeDefaults2 === "function")
+          data24.value = mergeDefaults2(value3, rawInit);
+        else if (type === "object" && !Array.isArray(value3))
+          data24.value = { ...rawInit, ...value3 };
+        else data24.value = value3;
+      } else {
+        data24.value = await serializer.read(rawValue);
+      }
+    } catch (e) {
+      onError(e);
+    }
+  }
+  __name(read, "read");
+  read();
+  if (window2 && listenToStorageChanges)
+    useEventListener(window2, "storage", (e) => Promise.resolve().then(() => read(e)));
+  if (storage) {
+    watchWithFilter(
+      data24,
+      async () => {
+        try {
+          if (data24.value == null)
+            await storage.removeItem(key);
+          else
+            await storage.setItem(key, await serializer.write(data24.value));
+        } catch (e) {
+          onError(e);
+        }
+      },
+      {
+        flush,
+        deep,
+        eventFilter
+      }
+    );
+  }
+  return data24;
+}
+__name(useStorageAsync, "useStorageAsync");
+let _id = 0;
+function useStyleTag(css4, options3 = {}) {
+  const isLoaded = ref(false);
+  const {
+    document: document2 = defaultDocument,
+    immediate = true,
+    manual = false,
+    id: id2 = `vueuse_styletag_${++_id}`
+  } = options3;
+  const cssRef = ref(css4);
+  let stop2 = /* @__PURE__ */ __name(() => {
+  }, "stop");
+  const load2 = /* @__PURE__ */ __name(() => {
+    if (!document2)
+      return;
+    const el = document2.getElementById(id2) || document2.createElement("style");
+    if (!el.isConnected) {
+      el.id = id2;
+      if (options3.media)
+        el.media = options3.media;
+      document2.head.appendChild(el);
+    }
+    if (isLoaded.value)
+      return;
+    stop2 = watch(
+      cssRef,
+      (value3) => {
+        el.textContent = value3;
+      },
+      { immediate: true }
+    );
+    isLoaded.value = true;
+  }, "load");
+  const unload = /* @__PURE__ */ __name(() => {
+    if (!document2 || !isLoaded.value)
+      return;
+    stop2();
+    document2.head.removeChild(document2.getElementById(id2));
+    isLoaded.value = false;
+  }, "unload");
+  if (immediate && !manual)
+    tryOnMounted(load2);
+  if (!manual)
+    tryOnScopeDispose(unload);
+  return {
+    id: id2,
+    css: cssRef,
+    unload,
+    load: load2,
+    isLoaded: readonly(isLoaded)
+  };
+}
+__name(useStyleTag, "useStyleTag");
+function useSwipe(target, options3 = {}) {
+  const {
+    threshold = 50,
+    onSwipe,
+    onSwipeEnd,
+    onSwipeStart,
+    passive = true,
+    window: window2 = defaultWindow
+  } = options3;
+  const coordsStart = reactive({ x: 0, y: 0 });
+  const coordsEnd = reactive({ x: 0, y: 0 });
+  const diffX = computed(() => coordsStart.x - coordsEnd.x);
+  const diffY = computed(() => coordsStart.y - coordsEnd.y);
+  const { max, abs } = Math;
+  const isThresholdExceeded = computed(() => max(abs(diffX.value), abs(diffY.value)) >= threshold);
+  const isSwiping = ref(false);
+  const direction = computed(() => {
+    if (!isThresholdExceeded.value)
+      return "none";
+    if (abs(diffX.value) > abs(diffY.value)) {
+      return diffX.value > 0 ? "left" : "right";
+    } else {
+      return diffY.value > 0 ? "up" : "down";
+    }
+  });
+  const getTouchEventCoords = /* @__PURE__ */ __name((e) => [e.touches[0].clientX, e.touches[0].clientY], "getTouchEventCoords");
+  const updateCoordsStart = /* @__PURE__ */ __name((x2, y2) => {
+    coordsStart.x = x2;
+    coordsStart.y = y2;
+  }, "updateCoordsStart");
+  const updateCoordsEnd = /* @__PURE__ */ __name((x2, y2) => {
+    coordsEnd.x = x2;
+    coordsEnd.y = y2;
+  }, "updateCoordsEnd");
+  let listenerOptions;
+  const isPassiveEventSupported = checkPassiveEventSupport(window2 == null ? void 0 : window2.document);
+  if (!passive)
+    listenerOptions = isPassiveEventSupported ? { passive: false, capture: true } : { capture: true };
+  else
+    listenerOptions = isPassiveEventSupported ? { passive: true } : { capture: false };
+  const onTouchEnd3 = /* @__PURE__ */ __name((e) => {
+    if (isSwiping.value)
+      onSwipeEnd == null ? void 0 : onSwipeEnd(e, direction.value);
+    isSwiping.value = false;
+  }, "onTouchEnd");
+  const stops = [
+    useEventListener(target, "touchstart", (e) => {
+      if (e.touches.length !== 1)
+        return;
+      if (listenerOptions.capture && !listenerOptions.passive)
+        e.preventDefault();
+      const [x2, y2] = getTouchEventCoords(e);
+      updateCoordsStart(x2, y2);
+      updateCoordsEnd(x2, y2);
+      onSwipeStart == null ? void 0 : onSwipeStart(e);
+    }, listenerOptions),
+    useEventListener(target, "touchmove", (e) => {
+      if (e.touches.length !== 1)
+        return;
+      const [x2, y2] = getTouchEventCoords(e);
+      updateCoordsEnd(x2, y2);
+      if (!isSwiping.value && isThresholdExceeded.value)
+        isSwiping.value = true;
+      if (isSwiping.value)
+        onSwipe == null ? void 0 : onSwipe(e);
+    }, listenerOptions),
+    useEventListener(target, ["touchend", "touchcancel"], onTouchEnd3, listenerOptions)
+  ];
+  const stop2 = /* @__PURE__ */ __name(() => stops.forEach((s) => s()), "stop");
+  return {
+    isPassiveEventSupported,
+    isSwiping,
+    direction,
+    coordsStart,
+    coordsEnd,
+    lengthX: diffX,
+    lengthY: diffY,
+    stop: stop2
+  };
+}
+__name(useSwipe, "useSwipe");
+function checkPassiveEventSupport(document2) {
+  if (!document2)
+    return false;
+  let supportsPassive = false;
+  const optionsBlock = {
+    get passive() {
+      supportsPassive = true;
+      return false;
+    }
+  };
+  document2.addEventListener("x", noop, optionsBlock);
+  document2.removeEventListener("x", noop);
+  return supportsPassive;
+}
+__name(checkPassiveEventSupport, "checkPassiveEventSupport");
+function useTemplateRefsList() {
+  const refs = ref([]);
+  refs.value.set = (el) => {
+    if (el)
+      refs.value.push(el);
+  };
+  onBeforeUpdate(() => {
+    refs.value.length = 0;
+  });
+  return refs;
+}
+__name(useTemplateRefsList, "useTemplateRefsList");
+function useTextDirection(options3 = {}) {
+  const {
+    document: document2 = defaultDocument,
+    selector = "html",
+    observe = false,
+    initialValue = "ltr"
+  } = options3;
+  function getValue2() {
+    var _a, _b;
+    return (_b = (_a = document2 == null ? void 0 : document2.querySelector(selector)) == null ? void 0 : _a.getAttribute("dir")) != null ? _b : initialValue;
+  }
+  __name(getValue2, "getValue2");
+  const dir = ref(getValue2());
+  tryOnMounted(() => dir.value = getValue2());
+  if (observe && document2) {
+    useMutationObserver(
+      document2.querySelector(selector),
+      () => dir.value = getValue2(),
+      { attributes: true }
+    );
+  }
+  return computed({
+    get() {
+      return dir.value;
+    },
+    set(v2) {
+      var _a, _b;
+      dir.value = v2;
+      if (!document2)
+        return;
+      if (dir.value)
+        (_a = document2.querySelector(selector)) == null ? void 0 : _a.setAttribute("dir", dir.value);
+      else
+        (_b = document2.querySelector(selector)) == null ? void 0 : _b.removeAttribute("dir");
+    }
+  });
+}
+__name(useTextDirection, "useTextDirection");
+function getRangesFromSelection(selection) {
+  var _a;
+  const rangeCount = (_a = selection.rangeCount) != null ? _a : 0;
+  return Array.from({ length: rangeCount }, (_2, i2) => selection.getRangeAt(i2));
+}
+__name(getRangesFromSelection, "getRangesFromSelection");
+function useTextSelection(options3 = {}) {
+  const {
+    window: window2 = defaultWindow
+  } = options3;
+  const selection = ref(null);
+  const text = computed(() => {
+    var _a, _b;
+    return (_b = (_a = selection.value) == null ? void 0 : _a.toString()) != null ? _b : "";
+  });
+  const ranges = computed(() => selection.value ? getRangesFromSelection(selection.value) : []);
+  const rects = computed(() => ranges.value.map((range2) => range2.getBoundingClientRect()));
+  function onSelectionChange() {
+    selection.value = null;
+    if (window2)
+      selection.value = window2.getSelection();
+  }
+  __name(onSelectionChange, "onSelectionChange");
+  if (window2)
+    useEventListener(window2.document, "selectionchange", onSelectionChange);
+  return {
+    text,
+    rects,
+    ranges,
+    selection
+  };
+}
+__name(useTextSelection, "useTextSelection");
+function useTextareaAutosize(options3) {
+  var _a;
+  const textarea = ref(options3 == null ? void 0 : options3.element);
+  const input = ref(options3 == null ? void 0 : options3.input);
+  const styleProp = (_a = options3 == null ? void 0 : options3.styleProp) != null ? _a : "height";
+  const textareaScrollHeight = ref(1);
+  const textareaOldWidth = ref(0);
+  function triggerResize() {
+    var _a2;
+    if (!textarea.value)
+      return;
+    let height = "";
+    textarea.value.style[styleProp] = "1px";
+    textareaScrollHeight.value = (_a2 = textarea.value) == null ? void 0 : _a2.scrollHeight;
+    const _styleTarget = toValue(options3 == null ? void 0 : options3.styleTarget);
+    if (_styleTarget)
+      _styleTarget.style[styleProp] = `${textareaScrollHeight.value}px`;
+    else
+      height = `${textareaScrollHeight.value}px`;
+    textarea.value.style[styleProp] = height;
+  }
+  __name(triggerResize, "triggerResize");
+  watch([input, textarea], () => nextTick(triggerResize), { immediate: true });
+  watch(textareaScrollHeight, () => {
+    var _a2;
+    return (_a2 = options3 == null ? void 0 : options3.onResize) == null ? void 0 : _a2.call(options3);
+  });
+  useResizeObserver(textarea, ([{ contentRect }]) => {
+    if (textareaOldWidth.value === contentRect.width)
+      return;
+    textareaOldWidth.value = contentRect.width;
+    triggerResize();
+  });
+  if (options3 == null ? void 0 : options3.watch)
+    watch(options3.watch, triggerResize, { immediate: true, deep: true });
+  return {
+    textarea,
+    input,
+    triggerResize
+  };
+}
+__name(useTextareaAutosize, "useTextareaAutosize");
+function useThrottledRefHistory(source, options3 = {}) {
+  const { throttle: throttle2 = 200, trailing = true } = options3;
+  const filter4 = throttleFilter(throttle2, trailing);
+  const history = useRefHistory(source, { ...options3, eventFilter: filter4 });
+  return {
+    ...history
+  };
+}
+__name(useThrottledRefHistory, "useThrottledRefHistory");
+const DEFAULT_UNITS = [
+  { max: 6e4, value: 1e3, name: "second" },
+  { max: 276e4, value: 6e4, name: "minute" },
+  { max: 72e6, value: 36e5, name: "hour" },
+  { max: 5184e5, value: 864e5, name: "day" },
+  { max: 24192e5, value: 6048e5, name: "week" },
+  { max: 28512e6, value: 2592e6, name: "month" },
+  { max: Number.POSITIVE_INFINITY, value: 31536e6, name: "year" }
+];
+const DEFAULT_MESSAGES = {
+  justNow: "just now",
+  past: /* @__PURE__ */ __name((n) => n.match(/\d/) ? `${n} ago` : n, "past"),
+  future: /* @__PURE__ */ __name((n) => n.match(/\d/) ? `in ${n}` : n, "future"),
+  month: /* @__PURE__ */ __name((n, past) => n === 1 ? past ? "last month" : "next month" : `${n} month${n > 1 ? "s" : ""}`, "month"),
+  year: /* @__PURE__ */ __name((n, past) => n === 1 ? past ? "last year" : "next year" : `${n} year${n > 1 ? "s" : ""}`, "year"),
+  day: /* @__PURE__ */ __name((n, past) => n === 1 ? past ? "yesterday" : "tomorrow" : `${n} day${n > 1 ? "s" : ""}`, "day"),
+  week: /* @__PURE__ */ __name((n, past) => n === 1 ? past ? "last week" : "next week" : `${n} week${n > 1 ? "s" : ""}`, "week"),
+  hour: /* @__PURE__ */ __name((n) => `${n} hour${n > 1 ? "s" : ""}`, "hour"),
+  minute: /* @__PURE__ */ __name((n) => `${n} minute${n > 1 ? "s" : ""}`, "minute"),
+  second: /* @__PURE__ */ __name((n) => `${n} second${n > 1 ? "s" : ""}`, "second"),
+  invalid: ""
+};
+function DEFAULT_FORMATTER(date) {
+  return date.toISOString().slice(0, 10);
+}
+__name(DEFAULT_FORMATTER, "DEFAULT_FORMATTER");
+function useTimeAgo(time, options3 = {}) {
+  const {
+    controls: exposeControls = false,
+    updateInterval = 3e4
+  } = options3;
+  const { now: now2, ...controls } = useNow({ interval: updateInterval, controls: true });
+  const timeAgo = computed(() => formatTimeAgo(new Date(toValue(time)), options3, toValue(now2)));
+  if (exposeControls) {
+    return {
+      timeAgo,
+      ...controls
+    };
+  } else {
+    return timeAgo;
+  }
+}
+__name(useTimeAgo, "useTimeAgo");
+function formatTimeAgo(from, options3 = {}, now2 = Date.now()) {
+  var _a;
+  const {
+    max,
+    messages: messages2 = DEFAULT_MESSAGES,
+    fullDateFormatter = DEFAULT_FORMATTER,
+    units = DEFAULT_UNITS,
+    showSecond = false,
+    rounding = "round"
+  } = options3;
+  const roundFn = typeof rounding === "number" ? (n) => +n.toFixed(rounding) : Math[rounding];
+  const diff = +now2 - +from;
+  const absDiff = Math.abs(diff);
+  function getValue2(diff2, unit) {
+    return roundFn(Math.abs(diff2) / unit.value);
+  }
+  __name(getValue2, "getValue2");
+  function format2(diff2, unit) {
+    const val = getValue2(diff2, unit);
+    const past = diff2 > 0;
+    const str = applyFormat(unit.name, val, past);
+    return applyFormat(past ? "past" : "future", str, past);
+  }
+  __name(format2, "format");
+  function applyFormat(name, val, isPast) {
+    const formatter = messages2[name];
+    if (typeof formatter === "function")
+      return formatter(val, isPast);
+    return formatter.replace("{0}", val.toString());
+  }
+  __name(applyFormat, "applyFormat");
+  if (absDiff < 6e4 && !showSecond)
+    return messages2.justNow;
+  if (typeof max === "number" && absDiff > max)
+    return fullDateFormatter(new Date(from));
+  if (typeof max === "string") {
+    const unitMax = (_a = units.find((i2) => i2.name === max)) == null ? void 0 : _a.max;
+    if (unitMax && absDiff > unitMax)
+      return fullDateFormatter(new Date(from));
+  }
+  for (const [idx, unit] of units.entries()) {
+    const val = getValue2(diff, unit);
+    if (val <= 0 && units[idx - 1])
+      return format2(diff, units[idx - 1]);
+    if (absDiff < unit.max)
+      return format2(diff, unit);
+  }
+  return messages2.invalid;
+}
+__name(formatTimeAgo, "formatTimeAgo");
+function useTimeoutPoll(fn, interval, timeoutPollOptions) {
+  const { start: start2 } = useTimeoutFn(loop, interval, { immediate: false });
+  const isActive = ref(false);
+  async function loop() {
+    if (!isActive.value)
+      return;
+    await fn();
+    start2();
+  }
+  __name(loop, "loop");
+  function resume() {
+    if (!isActive.value) {
+      isActive.value = true;
+      loop();
+    }
+  }
+  __name(resume, "resume");
+  function pause() {
+    isActive.value = false;
+  }
+  __name(pause, "pause");
+  if (timeoutPollOptions == null ? void 0 : timeoutPollOptions.immediate)
+    resume();
+  tryOnScopeDispose(pause);
+  return {
+    isActive,
+    pause,
+    resume
+  };
+}
+__name(useTimeoutPoll, "useTimeoutPoll");
+function useTimestamp(options3 = {}) {
+  const {
+    controls: exposeControls = false,
+    offset = 0,
+    immediate = true,
+    interval = "requestAnimationFrame",
+    callback
+  } = options3;
+  const ts = ref(timestamp() + offset);
+  const update2 = /* @__PURE__ */ __name(() => ts.value = timestamp() + offset, "update");
+  const cb = callback ? () => {
+    update2();
+    callback(ts.value);
+  } : update2;
+  const controls = interval === "requestAnimationFrame" ? useRafFn(cb, { immediate }) : useIntervalFn(cb, interval, { immediate });
+  if (exposeControls) {
+    return {
+      timestamp: ts,
+      ...controls
+    };
+  } else {
+    return ts;
+  }
+}
+__name(useTimestamp, "useTimestamp");
+function useTitle(newTitle = null, options3 = {}) {
+  var _a, _b, _c;
+  const {
+    document: document2 = defaultDocument,
+    restoreOnUnmount = /* @__PURE__ */ __name((t) => t, "restoreOnUnmount")
+  } = options3;
+  const originalTitle = (_a = document2 == null ? void 0 : document2.title) != null ? _a : "";
+  const title = toRef((_b = newTitle != null ? newTitle : document2 == null ? void 0 : document2.title) != null ? _b : null);
+  const isReadonly2 = newTitle && typeof newTitle === "function";
+  function format2(t) {
+    if (!("titleTemplate" in options3))
+      return t;
+    const template = options3.titleTemplate || "%s";
+    return typeof template === "function" ? template(t) : toValue(template).replace(/%s/g, t);
+  }
+  __name(format2, "format");
+  watch(
+    title,
+    (t, o) => {
+      if (t !== o && document2)
+        document2.title = format2(typeof t === "string" ? t : "");
+    },
+    { immediate: true }
+  );
+  if (options3.observe && !options3.titleTemplate && document2 && !isReadonly2) {
+    useMutationObserver(
+      (_c = document2.head) == null ? void 0 : _c.querySelector("title"),
+      () => {
+        if (document2 && document2.title !== title.value)
+          title.value = format2(document2.title);
+      },
+      { childList: true }
+    );
+  }
+  tryOnBeforeUnmount(() => {
+    if (restoreOnUnmount) {
+      const restoredTitle = restoreOnUnmount(originalTitle, title.value || "");
+      if (restoredTitle != null && document2)
+        document2.title = restoredTitle;
+    }
+  });
+  return title;
+}
+__name(useTitle, "useTitle");
+const _TransitionPresets = {
+  easeInSine: [0.12, 0, 0.39, 0],
+  easeOutSine: [0.61, 1, 0.88, 1],
+  easeInOutSine: [0.37, 0, 0.63, 1],
+  easeInQuad: [0.11, 0, 0.5, 0],
+  easeOutQuad: [0.5, 1, 0.89, 1],
+  easeInOutQuad: [0.45, 0, 0.55, 1],
+  easeInCubic: [0.32, 0, 0.67, 0],
+  easeOutCubic: [0.33, 1, 0.68, 1],
+  easeInOutCubic: [0.65, 0, 0.35, 1],
+  easeInQuart: [0.5, 0, 0.75, 0],
+  easeOutQuart: [0.25, 1, 0.5, 1],
+  easeInOutQuart: [0.76, 0, 0.24, 1],
+  easeInQuint: [0.64, 0, 0.78, 0],
+  easeOutQuint: [0.22, 1, 0.36, 1],
+  easeInOutQuint: [0.83, 0, 0.17, 1],
+  easeInExpo: [0.7, 0, 0.84, 0],
+  easeOutExpo: [0.16, 1, 0.3, 1],
+  easeInOutExpo: [0.87, 0, 0.13, 1],
+  easeInCirc: [0.55, 0, 1, 0.45],
+  easeOutCirc: [0, 0.55, 0.45, 1],
+  easeInOutCirc: [0.85, 0, 0.15, 1],
+  easeInBack: [0.36, 0, 0.66, -0.56],
+  easeOutBack: [0.34, 1.56, 0.64, 1],
+  easeInOutBack: [0.68, -0.6, 0.32, 1.6]
+};
+const TransitionPresets = /* @__PURE__ */ Object.assign({}, { linear: identity }, _TransitionPresets);
+function createEasingFunction([p0, p1, p2, p3]) {
+  const a = /* @__PURE__ */ __name((a1, a2) => 1 - 3 * a2 + 3 * a1, "a");
+  const b = /* @__PURE__ */ __name((a1, a2) => 3 * a2 - 6 * a1, "b");
+  const c = /* @__PURE__ */ __name((a1) => 3 * a1, "c");
+  const calcBezier = /* @__PURE__ */ __name((t, a1, a2) => ((a(a1, a2) * t + b(a1, a2)) * t + c(a1)) * t, "calcBezier");
+  const getSlope = /* @__PURE__ */ __name((t, a1, a2) => 3 * a(a1, a2) * t * t + 2 * b(a1, a2) * t + c(a1), "getSlope");
+  const getTforX = /* @__PURE__ */ __name((x2) => {
+    let aGuessT = x2;
+    for (let i2 = 0; i2 < 4; ++i2) {
+      const currentSlope = getSlope(aGuessT, p0, p2);
+      if (currentSlope === 0)
+        return aGuessT;
+      const currentX = calcBezier(aGuessT, p0, p2) - x2;
+      aGuessT -= currentX / currentSlope;
+    }
+    return aGuessT;
+  }, "getTforX");
+  return (x2) => p0 === p1 && p2 === p3 ? x2 : calcBezier(getTforX(x2), p1, p3);
+}
+__name(createEasingFunction, "createEasingFunction");
+function lerp(a, b, alpha) {
+  return a + alpha * (b - a);
+}
+__name(lerp, "lerp");
+function toVec(t) {
+  return (typeof t === "number" ? [t] : t) || [];
+}
+__name(toVec, "toVec");
+function executeTransition(source, from, to, options3 = {}) {
+  var _a, _b;
+  const fromVal = toValue(from);
+  const toVal = toValue(to);
+  const v1 = toVec(fromVal);
+  const v2 = toVec(toVal);
+  const duration = (_a = toValue(options3.duration)) != null ? _a : 1e3;
+  const startedAt = Date.now();
+  const endAt = Date.now() + duration;
+  const trans = typeof options3.transition === "function" ? options3.transition : (_b = toValue(options3.transition)) != null ? _b : identity;
+  const ease = typeof trans === "function" ? trans : createEasingFunction(trans);
+  return new Promise((resolve8) => {
+    source.value = fromVal;
+    const tick = /* @__PURE__ */ __name(() => {
+      var _a2;
+      if ((_a2 = options3.abort) == null ? void 0 : _a2.call(options3)) {
+        resolve8();
+        return;
+      }
+      const now2 = Date.now();
+      const alpha = ease((now2 - startedAt) / duration);
+      const arr = toVec(source.value).map((n, i2) => lerp(v1[i2], v2[i2], alpha));
+      if (Array.isArray(source.value))
+        source.value = arr.map((n, i2) => {
+          var _a3, _b2;
+          return lerp((_a3 = v1[i2]) != null ? _a3 : 0, (_b2 = v2[i2]) != null ? _b2 : 0, alpha);
+        });
+      else if (typeof source.value === "number")
+        source.value = arr[0];
+      if (now2 < endAt) {
+        requestAnimationFrame(tick);
+      } else {
+        source.value = toVal;
+        resolve8();
+      }
+    }, "tick");
+    tick();
+  });
+}
+__name(executeTransition, "executeTransition");
+function useTransition(source, options3 = {}) {
+  let currentId = 0;
+  const sourceVal = /* @__PURE__ */ __name(() => {
+    const v2 = toValue(source);
+    return typeof v2 === "number" ? v2 : v2.map(toValue);
+  }, "sourceVal");
+  const outputRef = ref(sourceVal());
+  watch(sourceVal, async (to) => {
+    var _a, _b;
+    if (toValue(options3.disabled))
+      return;
+    const id2 = ++currentId;
+    if (options3.delay)
+      await promiseTimeout(toValue(options3.delay));
+    if (id2 !== currentId)
+      return;
+    const toVal = Array.isArray(to) ? to.map(toValue) : toValue(to);
+    (_a = options3.onStarted) == null ? void 0 : _a.call(options3);
+    await executeTransition(outputRef, outputRef.value, toVal, {
+      ...options3,
+      abort: /* @__PURE__ */ __name(() => {
+        var _a2;
+        return id2 !== currentId || ((_a2 = options3.abort) == null ? void 0 : _a2.call(options3));
+      }, "abort")
+    });
+    (_b = options3.onFinished) == null ? void 0 : _b.call(options3);
+  }, { deep: true });
+  watch(() => toValue(options3.disabled), (disabled2) => {
+    if (disabled2) {
+      currentId++;
+      outputRef.value = sourceVal();
+    }
+  });
+  tryOnScopeDispose(() => {
+    currentId++;
+  });
+  return computed(() => toValue(options3.disabled) ? sourceVal() : outputRef.value);
+}
+__name(useTransition, "useTransition");
+function useUrlSearchParams(mode2 = "history", options3 = {}) {
+  const {
+    initialValue = {},
+    removeNullishValues = true,
+    removeFalsyValues = false,
+    write: enableWrite = true,
+    window: window2 = defaultWindow
+  } = options3;
+  if (!window2)
+    return reactive(initialValue);
+  const state = reactive({});
+  function getRawParams() {
+    if (mode2 === "history") {
+      return window2.location.search || "";
+    } else if (mode2 === "hash") {
+      const hash = window2.location.hash || "";
+      const index2 = hash.indexOf("?");
+      return index2 > 0 ? hash.slice(index2) : "";
+    } else {
+      return (window2.location.hash || "").replace(/^#/, "");
+    }
+  }
+  __name(getRawParams, "getRawParams");
+  function constructQuery(params) {
+    const stringified = params.toString();
+    if (mode2 === "history")
+      return `${stringified ? `?${stringified}` : ""}${window2.location.hash || ""}`;
+    if (mode2 === "hash-params")
+      return `${window2.location.search || ""}${stringified ? `#${stringified}` : ""}`;
+    const hash = window2.location.hash || "#";
+    const index2 = hash.indexOf("?");
+    if (index2 > 0)
+      return `${hash.slice(0, index2)}${stringified ? `?${stringified}` : ""}`;
+    return `${hash}${stringified ? `?${stringified}` : ""}`;
+  }
+  __name(constructQuery, "constructQuery");
+  function read() {
+    return new URLSearchParams(getRawParams());
+  }
+  __name(read, "read");
+  function updateState(params) {
+    const unusedKeys = new Set(Object.keys(state));
+    for (const key of params.keys()) {
+      const paramsForKey = params.getAll(key);
+      state[key] = paramsForKey.length > 1 ? paramsForKey : params.get(key) || "";
+      unusedKeys.delete(key);
+    }
+    Array.from(unusedKeys).forEach((key) => delete state[key]);
+  }
+  __name(updateState, "updateState");
+  const { pause, resume } = watchPausable(
+    state,
+    () => {
+      const params = new URLSearchParams("");
+      Object.keys(state).forEach((key) => {
+        const mapEntry = state[key];
+        if (Array.isArray(mapEntry))
+          mapEntry.forEach((value3) => params.append(key, value3));
+        else if (removeNullishValues && mapEntry == null)
+          params.delete(key);
+        else if (removeFalsyValues && !mapEntry)
+          params.delete(key);
+        else
+          params.set(key, mapEntry);
+      });
+      write(params);
+    },
+    { deep: true }
+  );
+  function write(params, shouldUpdate) {
+    pause();
+    if (shouldUpdate)
+      updateState(params);
+    window2.history.replaceState(
+      window2.history.state,
+      window2.document.title,
+      window2.location.pathname + constructQuery(params)
+    );
+    resume();
+  }
+  __name(write, "write");
+  function onChanged() {
+    if (!enableWrite)
+      return;
+    write(read(), true);
+  }
+  __name(onChanged, "onChanged");
+  useEventListener(window2, "popstate", onChanged, false);
+  if (mode2 !== "history")
+    useEventListener(window2, "hashchange", onChanged, false);
+  const initial = read();
+  if (initial.keys().next().value)
+    updateState(initial);
+  else
+    Object.assign(state, initialValue);
+  return state;
+}
+__name(useUrlSearchParams, "useUrlSearchParams");
+function useUserMedia(options3 = {}) {
+  var _a, _b;
+  const enabled = ref((_a = options3.enabled) != null ? _a : false);
+  const autoSwitch = ref((_b = options3.autoSwitch) != null ? _b : true);
+  const constraints = ref(options3.constraints);
+  const { navigator: navigator2 = defaultNavigator } = options3;
+  const isSupported2 = useSupported(() => {
+    var _a2;
+    return (_a2 = navigator2 == null ? void 0 : navigator2.mediaDevices) == null ? void 0 : _a2.getUserMedia;
+  });
+  const stream = shallowRef();
+  function getDeviceOptions(type) {
+    switch (type) {
+      case "video": {
+        if (constraints.value)
+          return constraints.value.video || false;
+        break;
+      }
+      case "audio": {
+        if (constraints.value)
+          return constraints.value.audio || false;
+        break;
+      }
+    }
+  }
+  __name(getDeviceOptions, "getDeviceOptions");
+  async function _start() {
+    if (!isSupported2.value || stream.value)
+      return;
+    stream.value = await navigator2.mediaDevices.getUserMedia({
+      video: getDeviceOptions("video"),
+      audio: getDeviceOptions("audio")
+    });
+    return stream.value;
+  }
+  __name(_start, "_start");
+  function _stop() {
+    var _a2;
+    (_a2 = stream.value) == null ? void 0 : _a2.getTracks().forEach((t) => t.stop());
+    stream.value = void 0;
+  }
+  __name(_stop, "_stop");
+  function stop2() {
+    _stop();
+    enabled.value = false;
+  }
+  __name(stop2, "stop");
+  async function start2() {
+    await _start();
+    if (stream.value)
+      enabled.value = true;
+    return stream.value;
+  }
+  __name(start2, "start");
+  async function restart() {
+    _stop();
+    return await start2();
+  }
+  __name(restart, "restart");
+  watch(
+    enabled,
+    (v2) => {
+      if (v2)
+        _start();
+      else _stop();
+    },
+    { immediate: true }
+  );
+  watch(
+    constraints,
+    () => {
+      if (autoSwitch.value && stream.value)
+        restart();
+    },
+    { immediate: true }
+  );
+  tryOnScopeDispose(() => {
+    stop2();
+  });
+  return {
+    isSupported: isSupported2,
+    stream,
+    start: start2,
+    stop: stop2,
+    restart,
+    constraints,
+    enabled,
+    autoSwitch
+  };
+}
+__name(useUserMedia, "useUserMedia");
+function useVModel(props, key, emit2, options3 = {}) {
+  var _a, _b, _c, _d, _e;
+  const {
+    clone: clone2 = false,
+    passive = false,
+    eventName,
+    deep = false,
+    defaultValue,
+    shouldEmit
+  } = options3;
+  const vm = getCurrentInstance();
+  const _emit = emit2 || (vm == null ? void 0 : vm.emit) || ((_a = vm == null ? void 0 : vm.$emit) == null ? void 0 : _a.bind(vm)) || ((_c = (_b = vm == null ? void 0 : vm.proxy) == null ? void 0 : _b.$emit) == null ? void 0 : _c.bind(vm == null ? void 0 : vm.proxy));
+  let event2 = eventName;
+  if (!key) {
+    if (isVue2) {
+      const modelOptions = (_e = (_d = vm == null ? void 0 : vm.proxy) == null ? void 0 : _d.$options) == null ? void 0 : _e.model;
+      key = (modelOptions == null ? void 0 : modelOptions.value) || "value";
+      if (!eventName)
+        event2 = (modelOptions == null ? void 0 : modelOptions.event) || "input";
+    } else {
+      key = "modelValue";
+    }
+  }
+  event2 = event2 || `update:${key.toString()}`;
+  const cloneFn = /* @__PURE__ */ __name((val) => !clone2 ? val : typeof clone2 === "function" ? clone2(val) : cloneFnJSON(val), "cloneFn");
+  const getValue2 = /* @__PURE__ */ __name(() => isDef(props[key]) ? cloneFn(props[key]) : defaultValue, "getValue2");
+  const triggerEmit = /* @__PURE__ */ __name((value3) => {
+    if (shouldEmit) {
+      if (shouldEmit(value3))
+        _emit(event2, value3);
+    } else {
+      _emit(event2, value3);
+    }
+  }, "triggerEmit");
+  if (passive) {
+    const initialValue = getValue2();
+    const proxy = ref(initialValue);
+    let isUpdating = false;
+    watch(
+      () => props[key],
+      (v2) => {
+        if (!isUpdating) {
+          isUpdating = true;
+          proxy.value = cloneFn(v2);
+          nextTick(() => isUpdating = false);
+        }
+      }
+    );
+    watch(
+      proxy,
+      (v2) => {
+        if (!isUpdating && (v2 !== props[key] || deep))
+          triggerEmit(v2);
+      },
+      { deep }
+    );
+    return proxy;
+  } else {
+    return computed({
+      get() {
+        return getValue2();
+      },
+      set(value3) {
+        triggerEmit(value3);
+      }
+    });
+  }
+}
+__name(useVModel, "useVModel");
+function useVModels(props, emit2, options3 = {}) {
+  const ret = {};
+  for (const key in props) {
+    ret[key] = useVModel(
+      props,
+      key,
+      emit2,
+      options3
+    );
+  }
+  return ret;
+}
+__name(useVModels, "useVModels");
+function useVibrate(options3) {
+  const {
+    pattern = [],
+    interval = 0,
+    navigator: navigator2 = defaultNavigator
+  } = options3 || {};
+  const isSupported2 = useSupported(() => typeof navigator2 !== "undefined" && "vibrate" in navigator2);
+  const patternRef = toRef(pattern);
+  let intervalControls;
+  const vibrate = /* @__PURE__ */ __name((pattern2 = patternRef.value) => {
+    if (isSupported2.value)
+      navigator2.vibrate(pattern2);
+  }, "vibrate");
+  const stop2 = /* @__PURE__ */ __name(() => {
+    if (isSupported2.value)
+      navigator2.vibrate(0);
+    intervalControls == null ? void 0 : intervalControls.pause();
+  }, "stop");
+  if (interval > 0) {
+    intervalControls = useIntervalFn(
+      vibrate,
+      interval,
+      {
+        immediate: false,
+        immediateCallback: false
+      }
+    );
+  }
+  return {
+    isSupported: isSupported2,
+    pattern,
+    intervalControls,
+    vibrate,
+    stop: stop2
+  };
+}
+__name(useVibrate, "useVibrate");
+function useVirtualList(list, options3) {
+  const { containerStyle, wrapperProps, scrollTo: scrollTo22, calculateRange, currentList, containerRef: containerRef6 } = "itemHeight" in options3 ? useVerticalVirtualList(options3, list) : useHorizontalVirtualList(options3, list);
+  return {
+    list: currentList,
+    scrollTo: scrollTo22,
+    containerProps: {
+      ref: containerRef6,
+      onScroll: /* @__PURE__ */ __name(() => {
+        calculateRange();
+      }, "onScroll"),
+      style: containerStyle
+    },
+    wrapperProps
+  };
+}
+__name(useVirtualList, "useVirtualList");
+function useVirtualListResources(list) {
+  const containerRef6 = ref(null);
+  const size2 = useElementSize(containerRef6);
+  const currentList = ref([]);
+  const source = shallowRef(list);
+  const state = ref({ start: 0, end: 10 });
+  return { state, source, currentList, size: size2, containerRef: containerRef6 };
+}
+__name(useVirtualListResources, "useVirtualListResources");
+function createGetViewCapacity(state, source, itemSize2) {
+  return (containerSize) => {
+    if (typeof itemSize2 === "number")
+      return Math.ceil(containerSize / itemSize2);
+    const { start: start2 = 0 } = state.value;
+    let sum = 0;
+    let capacity = 0;
+    for (let i2 = start2; i2 < source.value.length; i2++) {
+      const size2 = itemSize2(i2);
+      sum += size2;
+      capacity = i2;
+      if (sum > containerSize)
+        break;
+    }
+    return capacity - start2;
+  };
+}
+__name(createGetViewCapacity, "createGetViewCapacity");
+function createGetOffset(source, itemSize2) {
+  return (scrollDirection) => {
+    if (typeof itemSize2 === "number")
+      return Math.floor(scrollDirection / itemSize2) + 1;
+    let sum = 0;
+    let offset = 0;
+    for (let i2 = 0; i2 < source.value.length; i2++) {
+      const size2 = itemSize2(i2);
+      sum += size2;
+      if (sum >= scrollDirection) {
+        offset = i2;
+        break;
+      }
+    }
+    return offset + 1;
+  };
+}
+__name(createGetOffset, "createGetOffset");
+function createCalculateRange(type, overscan, getOffset2, getViewCapacity, { containerRef: containerRef6, state, currentList, source }) {
+  return () => {
+    const element = containerRef6.value;
+    if (element) {
+      const offset = getOffset2(type === "vertical" ? element.scrollTop : element.scrollLeft);
+      const viewCapacity = getViewCapacity(type === "vertical" ? element.clientHeight : element.clientWidth);
+      const from = offset - overscan;
+      const to = offset + viewCapacity + overscan;
+      state.value = {
+        start: from < 0 ? 0 : from,
+        end: to > source.value.length ? source.value.length : to
+      };
+      currentList.value = source.value.slice(state.value.start, state.value.end).map((ele, index2) => ({
+        data: ele,
+        index: index2 + state.value.start
+      }));
+    }
+  };
+}
+__name(createCalculateRange, "createCalculateRange");
+function createGetDistance(itemSize2, source) {
+  return (index2) => {
+    if (typeof itemSize2 === "number") {
+      const size22 = index2 * itemSize2;
+      return size22;
+    }
+    const size2 = source.value.slice(0, index2).reduce((sum, _2, i2) => sum + itemSize2(i2), 0);
+    return size2;
+  };
+}
+__name(createGetDistance, "createGetDistance");
+function useWatchForSizes(size2, list, containerRef6, calculateRange) {
+  watch([size2.width, size2.height, list, containerRef6], () => {
+    calculateRange();
+  });
+}
+__name(useWatchForSizes, "useWatchForSizes");
+function createComputedTotalSize(itemSize2, source) {
+  return computed(() => {
+    if (typeof itemSize2 === "number")
+      return source.value.length * itemSize2;
+    return source.value.reduce((sum, _2, index2) => sum + itemSize2(index2), 0);
+  });
+}
+__name(createComputedTotalSize, "createComputedTotalSize");
+const scrollToDictionaryForElementScrollKey = {
+  horizontal: "scrollLeft",
+  vertical: "scrollTop"
+};
+function createScrollTo(type, calculateRange, getDistance, containerRef6) {
+  return (index2) => {
+    if (containerRef6.value) {
+      containerRef6.value[scrollToDictionaryForElementScrollKey[type]] = getDistance(index2);
+      calculateRange();
+    }
+  };
+}
+__name(createScrollTo, "createScrollTo");
+function useHorizontalVirtualList(options3, list) {
+  const resources = useVirtualListResources(list);
+  const { state, source, currentList, size: size2, containerRef: containerRef6 } = resources;
+  const containerStyle = { overflowX: "auto" };
+  const { itemWidth, overscan = 5 } = options3;
+  const getViewCapacity = createGetViewCapacity(state, source, itemWidth);
+  const getOffset2 = createGetOffset(source, itemWidth);
+  const calculateRange = createCalculateRange("horizontal", overscan, getOffset2, getViewCapacity, resources);
+  const getDistanceLeft = createGetDistance(itemWidth, source);
+  const offsetLeft = computed(() => getDistanceLeft(state.value.start));
+  const totalWidth = createComputedTotalSize(itemWidth, source);
+  useWatchForSizes(size2, list, containerRef6, calculateRange);
+  const scrollTo22 = createScrollTo("horizontal", calculateRange, getDistanceLeft, containerRef6);
+  const wrapperProps = computed(() => {
+    return {
+      style: {
+        height: "100%",
+        width: `${totalWidth.value - offsetLeft.value}px`,
+        marginLeft: `${offsetLeft.value}px`,
+        display: "flex"
+      }
+    };
+  });
+  return {
+    scrollTo: scrollTo22,
+    calculateRange,
+    wrapperProps,
+    containerStyle,
+    currentList,
+    containerRef: containerRef6
+  };
+}
+__name(useHorizontalVirtualList, "useHorizontalVirtualList");
+function useVerticalVirtualList(options3, list) {
+  const resources = useVirtualListResources(list);
+  const { state, source, currentList, size: size2, containerRef: containerRef6 } = resources;
+  const containerStyle = { overflowY: "auto" };
+  const { itemHeight, overscan = 5 } = options3;
+  const getViewCapacity = createGetViewCapacity(state, source, itemHeight);
+  const getOffset2 = createGetOffset(source, itemHeight);
+  const calculateRange = createCalculateRange("vertical", overscan, getOffset2, getViewCapacity, resources);
+  const getDistanceTop = createGetDistance(itemHeight, source);
+  const offsetTop = computed(() => getDistanceTop(state.value.start));
+  const totalHeight = createComputedTotalSize(itemHeight, source);
+  useWatchForSizes(size2, list, containerRef6, calculateRange);
+  const scrollTo22 = createScrollTo("vertical", calculateRange, getDistanceTop, containerRef6);
+  const wrapperProps = computed(() => {
+    return {
+      style: {
+        width: "100%",
+        height: `${totalHeight.value - offsetTop.value}px`,
+        marginTop: `${offsetTop.value}px`
+      }
+    };
+  });
+  return {
+    calculateRange,
+    scrollTo: scrollTo22,
+    containerStyle,
+    wrapperProps,
+    currentList,
+    containerRef: containerRef6
+  };
+}
+__name(useVerticalVirtualList, "useVerticalVirtualList");
+function useWakeLock(options3 = {}) {
+  const {
+    navigator: navigator2 = defaultNavigator,
+    document: document2 = defaultDocument
+  } = options3;
+  const requestedType = ref(false);
+  const sentinel = shallowRef(null);
+  const documentVisibility = useDocumentVisibility({ document: document2 });
+  const isSupported2 = useSupported(() => navigator2 && "wakeLock" in navigator2);
+  const isActive = computed(() => !!sentinel.value && documentVisibility.value === "visible");
+  if (isSupported2.value) {
+    useEventListener(sentinel, "release", () => {
+      var _a, _b;
+      requestedType.value = (_b = (_a = sentinel.value) == null ? void 0 : _a.type) != null ? _b : false;
+    });
+    whenever(
+      () => documentVisibility.value === "visible" && (document2 == null ? void 0 : document2.visibilityState) === "visible" && requestedType.value,
+      (type) => {
+        requestedType.value = false;
+        forceRequest(type);
+      }
+    );
+  }
+  async function forceRequest(type) {
+    var _a;
+    await ((_a = sentinel.value) == null ? void 0 : _a.release());
+    sentinel.value = isSupported2.value ? await navigator2.wakeLock.request(type) : null;
+  }
+  __name(forceRequest, "forceRequest");
+  async function request(type) {
+    if (documentVisibility.value === "visible")
+      await forceRequest(type);
+    else
+      requestedType.value = type;
+  }
+  __name(request, "request");
+  async function release() {
+    requestedType.value = false;
+    const s = sentinel.value;
+    sentinel.value = null;
+    await (s == null ? void 0 : s.release());
+  }
+  __name(release, "release");
+  return {
+    sentinel,
+    isSupported: isSupported2,
+    isActive,
+    request,
+    forceRequest,
+    release
+  };
+}
+__name(useWakeLock, "useWakeLock");
+function useWebNotification(options3 = {}) {
+  const {
+    window: window2 = defaultWindow,
+    requestPermissions: _requestForPermissions = true
+  } = options3;
+  const defaultWebNotificationOptions = options3;
+  const isSupported2 = useSupported(() => {
+    if (!window2 || !("Notification" in window2))
+      return false;
+    try {
+      new Notification("");
+    } catch (e) {
+      return false;
+    }
+    return true;
+  });
+  const permissionGranted = ref(isSupported2.value && "permission" in Notification && Notification.permission === "granted");
+  const notification = ref(null);
+  const ensurePermissions = /* @__PURE__ */ __name(async () => {
+    if (!isSupported2.value)
+      return;
+    if (!permissionGranted.value && Notification.permission !== "denied") {
+      const result = await Notification.requestPermission();
+      if (result === "granted")
+        permissionGranted.value = true;
+    }
+    return permissionGranted.value;
+  }, "ensurePermissions");
+  const { on: onClick3, trigger: clickTrigger } = createEventHook();
+  const { on: onShow, trigger: showTrigger } = createEventHook();
+  const { on: onError, trigger: errorTrigger } = createEventHook();
+  const { on: onClose, trigger: closeTrigger } = createEventHook();
+  const show6 = /* @__PURE__ */ __name(async (overrides) => {
+    if (!isSupported2.value || !permissionGranted.value)
+      return;
+    const options22 = Object.assign({}, defaultWebNotificationOptions, overrides);
+    notification.value = new Notification(options22.title || "", options22);
+    notification.value.onclick = clickTrigger;
+    notification.value.onshow = showTrigger;
+    notification.value.onerror = errorTrigger;
+    notification.value.onclose = closeTrigger;
+    return notification.value;
+  }, "show");
+  const close4 = /* @__PURE__ */ __name(() => {
+    if (notification.value)
+      notification.value.close();
+    notification.value = null;
+  }, "close");
+  if (_requestForPermissions)
+    tryOnMounted(ensurePermissions);
+  tryOnScopeDispose(close4);
+  if (isSupported2.value && window2) {
+    const document2 = window2.document;
+    useEventListener(document2, "visibilitychange", (e) => {
+      e.preventDefault();
+      if (document2.visibilityState === "visible") {
+        close4();
+      }
+    });
+  }
+  return {
+    isSupported: isSupported2,
+    notification,
+    ensurePermissions,
+    permissionGranted,
+    show: show6,
+    close: close4,
+    onClick: onClick3,
+    onShow,
+    onError,
+    onClose
+  };
+}
+__name(useWebNotification, "useWebNotification");
+const DEFAULT_PING_MESSAGE = "ping";
+function resolveNestedOptions(options3) {
+  if (options3 === true)
+    return {};
+  return options3;
+}
+__name(resolveNestedOptions, "resolveNestedOptions");
+function useWebSocket(url, options3 = {}) {
+  const {
+    onConnected,
+    onDisconnected,
+    onError,
+    onMessage,
+    immediate = true,
+    autoClose = true,
+    protocols = []
+  } = options3;
+  const data24 = ref(null);
+  const status = ref("CLOSED");
+  const wsRef = ref();
+  const urlRef = toRef(url);
+  let heartbeatPause;
+  let heartbeatResume;
+  let explicitlyClosed = false;
+  let retried = 0;
+  let bufferedData = [];
+  let pongTimeoutWait;
+  const _sendBuffer = /* @__PURE__ */ __name(() => {
+    if (bufferedData.length && wsRef.value && status.value === "OPEN") {
+      for (const buffer2 of bufferedData)
+        wsRef.value.send(buffer2);
+      bufferedData = [];
+    }
+  }, "_sendBuffer");
+  const resetHeartbeat = /* @__PURE__ */ __name(() => {
+    clearTimeout(pongTimeoutWait);
+    pongTimeoutWait = void 0;
+  }, "resetHeartbeat");
+  const close4 = /* @__PURE__ */ __name((code2 = 1e3, reason) => {
+    if (!isClient || !wsRef.value)
+      return;
+    explicitlyClosed = true;
+    resetHeartbeat();
+    heartbeatPause == null ? void 0 : heartbeatPause();
+    wsRef.value.close(code2, reason);
+    wsRef.value = void 0;
+  }, "close");
+  const send = /* @__PURE__ */ __name((data25, useBuffer = true) => {
+    if (!wsRef.value || status.value !== "OPEN") {
+      if (useBuffer)
+        bufferedData.push(data25);
+      return false;
+    }
+    _sendBuffer();
+    wsRef.value.send(data25);
+    return true;
+  }, "send");
+  const _init = /* @__PURE__ */ __name(() => {
+    if (explicitlyClosed || typeof urlRef.value === "undefined")
+      return;
+    const ws = new WebSocket(urlRef.value, protocols);
+    wsRef.value = ws;
+    status.value = "CONNECTING";
+    ws.onopen = () => {
+      status.value = "OPEN";
+      onConnected == null ? void 0 : onConnected(ws);
+      heartbeatResume == null ? void 0 : heartbeatResume();
+      _sendBuffer();
+    };
+    ws.onclose = (ev) => {
+      status.value = "CLOSED";
+      onDisconnected == null ? void 0 : onDisconnected(ws, ev);
+      if (!explicitlyClosed && options3.autoReconnect) {
+        const {
+          retries = -1,
+          delay = 1e3,
+          onFailed
+        } = resolveNestedOptions(options3.autoReconnect);
+        retried += 1;
+        if (typeof retries === "number" && (retries < 0 || retried < retries))
+          setTimeout(_init, delay);
+        else if (typeof retries === "function" && retries())
+          setTimeout(_init, delay);
+        else
+          onFailed == null ? void 0 : onFailed();
+      }
+    };
+    ws.onerror = (e) => {
+      onError == null ? void 0 : onError(ws, e);
+    };
+    ws.onmessage = (e) => {
+      if (options3.heartbeat) {
+        resetHeartbeat();
+        const {
+          message: message3 = DEFAULT_PING_MESSAGE,
+          responseMessage = message3
+        } = resolveNestedOptions(options3.heartbeat);
+        if (e.data === responseMessage)
+          return;
+      }
+      data24.value = e.data;
+      onMessage == null ? void 0 : onMessage(ws, e);
+    };
+  }, "_init");
+  if (options3.heartbeat) {
+    const {
+      message: message3 = DEFAULT_PING_MESSAGE,
+      interval = 1e3,
+      pongTimeout = 1e3
+    } = resolveNestedOptions(options3.heartbeat);
+    const { pause, resume } = useIntervalFn(
+      () => {
+        send(message3, false);
+        if (pongTimeoutWait != null)
+          return;
+        pongTimeoutWait = setTimeout(() => {
+          close4();
+          explicitlyClosed = false;
+        }, pongTimeout);
+      },
+      interval,
+      { immediate: false }
+    );
+    heartbeatPause = pause;
+    heartbeatResume = resume;
+  }
+  if (autoClose) {
+    if (isClient)
+      useEventListener("beforeunload", () => close4());
+    tryOnScopeDispose(close4);
+  }
+  const open2 = /* @__PURE__ */ __name(() => {
+    if (!isClient && !isWorker)
+      return;
+    close4();
+    explicitlyClosed = false;
+    retried = 0;
+    _init();
+  }, "open");
+  if (immediate)
+    open2();
+  watch(urlRef, open2);
+  return {
+    data: data24,
+    status,
+    close: close4,
+    send,
+    open: open2,
+    ws: wsRef
+  };
+}
+__name(useWebSocket, "useWebSocket");
+function useWebWorker(arg0, workerOptions, options3) {
+  const {
+    window: window2 = defaultWindow
+  } = options3 != null ? options3 : {};
+  const data24 = ref(null);
+  const worker = shallowRef();
+  const post = /* @__PURE__ */ __name((...args) => {
+    if (!worker.value)
+      return;
+    worker.value.postMessage(...args);
+  }, "post");
+  const terminate = /* @__PURE__ */ __name(function terminate2() {
+    if (!worker.value)
+      return;
+    worker.value.terminate();
+  }, "terminate2");
+  if (window2) {
+    if (typeof arg0 === "string")
+      worker.value = new Worker(arg0, workerOptions);
+    else if (typeof arg0 === "function")
+      worker.value = arg0();
+    else
+      worker.value = arg0;
+    worker.value.onmessage = (e) => {
+      data24.value = e.data;
+    };
+    tryOnScopeDispose(() => {
+      if (worker.value)
+        worker.value.terminate();
+    });
+  }
+  return {
+    data: data24,
+    post,
+    terminate,
+    worker
+  };
+}
+__name(useWebWorker, "useWebWorker");
+function jobRunner(userFunc) {
+  return (e) => {
+    const userFuncArgs = e.data[0];
+    return Promise.resolve(userFunc.apply(void 0, userFuncArgs)).then((result) => {
+      postMessage(["SUCCESS", result]);
+    }).catch((error) => {
+      postMessage(["ERROR", error]);
+    });
+  };
+}
+__name(jobRunner, "jobRunner");
+function depsParser(deps, localDeps) {
+  if (deps.length === 0 && localDeps.length === 0)
+    return "";
+  const depsString = deps.map((dep) => `'${dep}'`).toString();
+  const depsFunctionString = localDeps.filter((dep) => typeof dep === "function").map((fn) => {
+    const str = fn.toString();
+    if (str.trim().startsWith("function")) {
+      return str;
+    } else {
+      const name = fn.name;
+      return `const ${name} = ${str}`;
+    }
+  }).join(";");
+  const importString = `importScripts(${depsString});`;
+  return `${depsString.trim() === "" ? "" : importString} ${depsFunctionString}`;
+}
+__name(depsParser, "depsParser");
+function createWorkerBlobUrl(fn, deps, localDeps) {
+  const blobCode = `${depsParser(deps, localDeps)}; onmessage=(${jobRunner})(${fn})`;
+  const blob = new Blob([blobCode], { type: "text/javascript" });
+  const url = URL.createObjectURL(blob);
+  return url;
+}
+__name(createWorkerBlobUrl, "createWorkerBlobUrl");
+function useWebWorkerFn(fn, options3 = {}) {
+  const {
+    dependencies = [],
+    localDependencies = [],
+    timeout,
+    window: window2 = defaultWindow
+  } = options3;
+  const worker = ref();
+  const workerStatus = ref("PENDING");
+  const promise = ref({});
+  const timeoutId = ref();
+  const workerTerminate = /* @__PURE__ */ __name((status = "PENDING") => {
+    if (worker.value && worker.value._url && window2) {
+      worker.value.terminate();
+      URL.revokeObjectURL(worker.value._url);
+      promise.value = {};
+      worker.value = void 0;
+      window2.clearTimeout(timeoutId.value);
+      workerStatus.value = status;
+    }
+  }, "workerTerminate");
+  workerTerminate();
+  tryOnScopeDispose(workerTerminate);
+  const generateWorker = /* @__PURE__ */ __name(() => {
+    const blobUrl = createWorkerBlobUrl(fn, dependencies, localDependencies);
+    const newWorker = new Worker(blobUrl);
+    newWorker._url = blobUrl;
+    newWorker.onmessage = (e) => {
+      const { resolve: resolve8 = /* @__PURE__ */ __name(() => {
+      }, "resolve"), reject: reject2 = /* @__PURE__ */ __name(() => {
+      }, "reject") } = promise.value;
+      const [status, result] = e.data;
+      switch (status) {
+        case "SUCCESS":
+          resolve8(result);
+          workerTerminate(status);
+          break;
+        default:
+          reject2(result);
+          workerTerminate("ERROR");
+          break;
+      }
+    };
+    newWorker.onerror = (e) => {
+      const { reject: reject2 = /* @__PURE__ */ __name(() => {
+      }, "reject") } = promise.value;
+      e.preventDefault();
+      reject2(e);
+      workerTerminate("ERROR");
+    };
+    if (timeout) {
+      timeoutId.value = setTimeout(
+        () => workerTerminate("TIMEOUT_EXPIRED"),
+        timeout
+      );
+    }
+    return newWorker;
+  }, "generateWorker");
+  const callWorker = /* @__PURE__ */ __name((...fnArgs) => new Promise((resolve8, reject2) => {
+    var _a;
+    promise.value = {
+      resolve: resolve8,
+      reject: reject2
+    };
+    (_a = worker.value) == null ? void 0 : _a.postMessage([[...fnArgs]]);
+    workerStatus.value = "RUNNING";
+  }), "callWorker");
+  const workerFn = /* @__PURE__ */ __name((...fnArgs) => {
+    if (workerStatus.value === "RUNNING") {
+      console.error(
+        "[useWebWorkerFn] You can only run one instance of the worker at a time."
+      );
+      return Promise.reject();
+    }
+    worker.value = generateWorker();
+    return callWorker(...fnArgs);
+  }, "workerFn");
+  return {
+    workerFn,
+    workerStatus,
+    workerTerminate
+  };
+}
+__name(useWebWorkerFn, "useWebWorkerFn");
+function useWindowFocus(options3 = {}) {
+  const { window: window2 = defaultWindow } = options3;
+  if (!window2)
+    return ref(false);
+  const focused = ref(window2.document.hasFocus());
+  useEventListener(window2, "blur", () => {
+    focused.value = false;
+  });
+  useEventListener(window2, "focus", () => {
+    focused.value = true;
+  });
+  return focused;
+}
+__name(useWindowFocus, "useWindowFocus");
+function useWindowScroll(options3 = {}) {
+  const { window: window2 = defaultWindow, behavior = "auto" } = options3;
+  if (!window2) {
+    return {
+      x: ref(0),
+      y: ref(0)
+    };
+  }
+  const internalX = ref(window2.scrollX);
+  const internalY = ref(window2.scrollY);
+  const x2 = computed({
+    get() {
+      return internalX.value;
+    },
+    set(x22) {
+      scrollTo({ left: x22, behavior });
+    }
+  });
+  const y2 = computed({
+    get() {
+      return internalY.value;
+    },
+    set(y22) {
+      scrollTo({ top: y22, behavior });
+    }
+  });
+  useEventListener(
+    window2,
+    "scroll",
+    () => {
+      internalX.value = window2.scrollX;
+      internalY.value = window2.scrollY;
+    },
+    {
+      capture: false,
+      passive: true
+    }
+  );
+  return { x: x2, y: y2 };
+}
+__name(useWindowScroll, "useWindowScroll");
+function useWindowSize(options3 = {}) {
+  const {
+    window: window2 = defaultWindow,
+    initialWidth = Number.POSITIVE_INFINITY,
+    initialHeight = Number.POSITIVE_INFINITY,
+    listenOrientation = true,
+    includeScrollbar = true,
+    type = "inner"
+  } = options3;
+  const width2 = ref(initialWidth);
+  const height = ref(initialHeight);
+  const update2 = /* @__PURE__ */ __name(() => {
+    if (window2) {
+      if (type === "outer") {
+        width2.value = window2.outerWidth;
+        height.value = window2.outerHeight;
+      } else if (includeScrollbar) {
+        width2.value = window2.innerWidth;
+        height.value = window2.innerHeight;
+      } else {
+        width2.value = window2.document.documentElement.clientWidth;
+        height.value = window2.document.documentElement.clientHeight;
+      }
+    }
+  }, "update");
+  update2();
+  tryOnMounted(update2);
+  useEventListener("resize", update2, { passive: true });
+  if (listenOrientation) {
+    const matches2 = useMediaQuery("(orientation: portrait)");
+    watch(matches2, () => update2());
+  }
+  return { width: width2, height };
+}
+__name(useWindowSize, "useWindowSize");
+var theme$f = /* @__PURE__ */ __name(function theme22(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-scrollpanel-content-container {\n    overflow: hidden;\n    width: 100%;\n    height: 100%;\n    position: relative;\n    z-index: 1;\n    float: left;\n}\n\n.p-scrollpanel-content {\n    height: calc(100% + calc(2 * ".concat(dt3("scrollpanel.bar.size"), "));\n    width: calc(100% + calc(2 * ").concat(dt3("scrollpanel.bar.size"), "));\n    padding: 0 calc(2 * ").concat(dt3("scrollpanel.bar.size"), ") calc(2 * ").concat(dt3("scrollpanel.bar.size"), ") 0;\n    position: relative;\n    overflow: auto;\n    box-sizing: border-box;\n    scrollbar-width: none;\n}\n\n.p-scrollpanel-content::-webkit-scrollbar {\n    display: none;\n}\n\n.p-scrollpanel-bar {\n    position: relative;\n    border-radius: ").concat(dt3("scrollpanel.bar.border.radius"), ";\n    z-index: 2;\n    cursor: pointer;\n    opacity: 0;\n    outline-color: transparent;\n    transition: outline-color ").concat(dt3("scrollpanel.transition.duration"), ";\n    background: ").concat(dt3("scrollpanel.bar.background"), ";\n    border: 0 none;\n    transition: outline-color ").concat(dt3("scrollpanel.transition.duration"), ", opacity ").concat(dt3("scrollpanel.transition.duration"), ";\n}\n\n.p-scrollpanel-bar:focus-visible {\n    box-shadow: ").concat(dt3("scrollpanel.bar.focus.ring.shadow"), ";\n    outline: ").concat(dt3("scrollpanel.barfocus.ring.width"), " ").concat(dt3("scrollpanel.bar.focus.ring.style"), " ").concat(dt3("scrollpanel.bar.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("scrollpanel.barfocus.ring.offset"), ";\n}\n\n.p-scrollpanel-bar-y {\n    width: ").concat(dt3("scrollpanel.bar.size"), ";\n    top: 0;\n}\n\n.p-scrollpanel-bar-x {\n    height: ").concat(dt3("scrollpanel.bar.size"), ";\n    bottom: 0;\n}\n\n.p-scrollpanel-hidden {\n    visibility: hidden;\n}\n\n.p-scrollpanel:hover .p-scrollpanel-bar,\n.p-scrollpanel:active .p-scrollpanel-bar {\n    opacity: 1;\n}\n\n.p-scrollpanel-grabbed {\n    user-select: none;\n}\n");
+}, "theme");
+var classes$g = {
+  root: "p-scrollpanel p-component",
+  contentContainer: "p-scrollpanel-content-container",
+  content: "p-scrollpanel-content",
+  barX: "p-scrollpanel-bar p-scrollpanel-bar-x",
+  barY: "p-scrollpanel-bar p-scrollpanel-bar-y"
+};
+var ScrollPanelStyle = BaseStyle.extend({
+  name: "scrollpanel",
+  theme: theme$f,
+  classes: classes$g
+});
+var script$1$g = {
+  name: "BaseScrollPanel",
+  "extends": script$X,
+  props: {
+    step: {
+      type: Number,
+      "default": 5
+    }
+  },
+  style: ScrollPanelStyle,
+  provide: /* @__PURE__ */ __name(function provide23() {
+    return {
+      $pcScrollPanel: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$r = {
+  name: "ScrollPanel",
+  "extends": script$1$g,
+  inheritAttrs: false,
+  initialized: false,
+  documentResizeListener: null,
+  documentMouseMoveListener: null,
+  documentMouseUpListener: null,
+  frame: null,
+  scrollXRatio: null,
+  scrollYRatio: null,
+  isXBarClicked: false,
+  isYBarClicked: false,
+  lastPageX: null,
+  lastPageY: null,
+  timer: null,
+  outsideClickListener: null,
+  data: /* @__PURE__ */ __name(function data9() {
+    return {
+      id: this.$attrs.id,
+      orientation: "vertical",
+      lastScrollTop: 0,
+      lastScrollLeft: 0
+    };
+  }, "data"),
+  watch: {
+    "$attrs.id": /* @__PURE__ */ __name(function $attrsId4(newValue) {
+      this.id = newValue || UniqueComponentId();
+    }, "$attrsId")
+  },
+  mounted: /* @__PURE__ */ __name(function mounted8() {
+    this.id = this.id || UniqueComponentId();
+    if (this.$el.offsetParent) {
+      this.initialize();
+    }
+  }, "mounted"),
+  updated: /* @__PURE__ */ __name(function updated5() {
+    if (!this.initialized && this.$el.offsetParent) {
+      this.initialize();
+    }
+  }, "updated"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount4() {
+    this.unbindDocumentResizeListener();
+    if (this.frame) {
+      window.cancelAnimationFrame(this.frame);
+    }
+  }, "beforeUnmount"),
+  methods: {
+    initialize: /* @__PURE__ */ __name(function initialize() {
+      this.moveBar();
+      this.bindDocumentResizeListener();
+      this.calculateContainerHeight();
+    }, "initialize"),
+    calculateContainerHeight: /* @__PURE__ */ __name(function calculateContainerHeight() {
+      var containerStyles = getComputedStyle(this.$el), xBarStyles = getComputedStyle(this.$refs.xBar), pureContainerHeight = getHeight(this.$el) - parseInt(xBarStyles["height"], 10);
+      if (containerStyles["max-height"] !== "none" && pureContainerHeight === 0) {
+        if (this.$refs.content.offsetHeight + parseInt(xBarStyles["height"], 10) > parseInt(containerStyles["max-height"], 10)) {
+          this.$el.style.height = containerStyles["max-height"];
+        } else {
+          this.$el.style.height = this.$refs.content.offsetHeight + parseFloat(containerStyles.paddingTop) + parseFloat(containerStyles.paddingBottom) + parseFloat(containerStyles.borderTopWidth) + parseFloat(containerStyles.borderBottomWidth) + "px";
+        }
+      }
+    }, "calculateContainerHeight"),
+    moveBar: /* @__PURE__ */ __name(function moveBar() {
+      var _this = this;
+      if (this.$refs.content) {
+        var totalWidth = this.$refs.content.scrollWidth;
+        var ownWidth = this.$refs.content.clientWidth;
+        var bottom = (this.$el.clientHeight - this.$refs.xBar.clientHeight) * -1;
+        this.scrollXRatio = ownWidth / totalWidth;
+        var totalHeight = this.$refs.content.scrollHeight;
+        var ownHeight = this.$refs.content.clientHeight;
+        var right = (this.$el.clientWidth - this.$refs.yBar.clientWidth) * -1;
+        this.scrollYRatio = ownHeight / totalHeight;
+        this.frame = this.requestAnimationFrame(function() {
+          if (_this.$refs.xBar) {
+            if (_this.scrollXRatio >= 1) {
+              _this.$refs.xBar.setAttribute("data-p-scrollpanel-hidden", "true");
+              !_this.isUnstyled && addClass(_this.$refs.xBar, "p-scrollpanel-hidden");
+            } else {
+              _this.$refs.xBar.setAttribute("data-p-scrollpanel-hidden", "false");
+              !_this.isUnstyled && removeClass(_this.$refs.xBar, "p-scrollpanel-hidden");
+              _this.$refs.xBar.style.cssText = "width:" + Math.max(_this.scrollXRatio * 100, 10) + "%; left:" + _this.$refs.content.scrollLeft / totalWidth * 100 + "%;bottom:" + bottom + "px;";
+            }
+          }
+          if (_this.$refs.yBar) {
+            if (_this.scrollYRatio >= 1) {
+              _this.$refs.yBar.setAttribute("data-p-scrollpanel-hidden", "true");
+              !_this.isUnstyled && addClass(_this.$refs.yBar, "p-scrollpanel-hidden");
+            } else {
+              _this.$refs.yBar.setAttribute("data-p-scrollpanel-hidden", "false");
+              !_this.isUnstyled && removeClass(_this.$refs.yBar, "p-scrollpanel-hidden");
+              _this.$refs.yBar.style.cssText = "height:" + Math.max(_this.scrollYRatio * 100, 10) + "%; top: calc(" + _this.$refs.content.scrollTop / totalHeight * 100 + "% - " + _this.$refs.xBar.clientHeight + "px);right:" + right + "px;";
+            }
+          }
+        });
+      }
+    }, "moveBar"),
+    onYBarMouseDown: /* @__PURE__ */ __name(function onYBarMouseDown(e) {
+      this.isYBarClicked = true;
+      this.$refs.yBar.focus();
+      this.lastPageY = e.pageY;
+      this.$refs.yBar.setAttribute("data-p-scrollpanel-grabbed", "true");
+      !this.isUnstyled && addClass(this.$refs.yBar, "p-scrollpanel-grabbed");
+      document.body.setAttribute("data-p-scrollpanel-grabbed", "true");
+      !this.isUnstyled && addClass(document.body, "p-scrollpanel-grabbed");
+      this.bindDocumentMouseListeners();
+      e.preventDefault();
+    }, "onYBarMouseDown"),
+    onXBarMouseDown: /* @__PURE__ */ __name(function onXBarMouseDown(e) {
+      this.isXBarClicked = true;
+      this.$refs.xBar.focus();
+      this.lastPageX = e.pageX;
+      this.$refs.yBar.setAttribute("data-p-scrollpanel-grabbed", "false");
+      !this.isUnstyled && addClass(this.$refs.xBar, "p-scrollpanel-grabbed");
+      document.body.setAttribute("data-p-scrollpanel-grabbed", "false");
+      !this.isUnstyled && addClass(document.body, "p-scrollpanel-grabbed");
+      this.bindDocumentMouseListeners();
+      e.preventDefault();
+    }, "onXBarMouseDown"),
+    onScroll: /* @__PURE__ */ __name(function onScroll2(event2) {
+      if (this.lastScrollLeft !== event2.target.scrollLeft) {
+        this.lastScrollLeft = event2.target.scrollLeft;
+        this.orientation = "horizontal";
+      } else if (this.lastScrollTop !== event2.target.scrollTop) {
+        this.lastScrollTop = event2.target.scrollTop;
+        this.orientation = "vertical";
+      }
+      this.moveBar();
+    }, "onScroll"),
+    onKeyDown: /* @__PURE__ */ __name(function onKeyDown4(event2) {
+      if (this.orientation === "vertical") {
+        switch (event2.code) {
+          case "ArrowDown": {
+            this.setTimer("scrollTop", this.step);
+            event2.preventDefault();
+            break;
+          }
+          case "ArrowUp": {
+            this.setTimer("scrollTop", this.step * -1);
+            event2.preventDefault();
+            break;
+          }
+          case "ArrowLeft":
+          case "ArrowRight": {
+            event2.preventDefault();
+            break;
+          }
+        }
+      } else if (this.orientation === "horizontal") {
+        switch (event2.code) {
+          case "ArrowRight": {
+            this.setTimer("scrollLeft", this.step);
+            event2.preventDefault();
+            break;
+          }
+          case "ArrowLeft": {
+            this.setTimer("scrollLeft", this.step * -1);
+            event2.preventDefault();
+            break;
+          }
+          case "ArrowDown":
+          case "ArrowUp": {
+            event2.preventDefault();
+            break;
+          }
+        }
+      }
+    }, "onKeyDown"),
+    onKeyUp: /* @__PURE__ */ __name(function onKeyUp2() {
+      this.clearTimer();
+    }, "onKeyUp"),
+    repeat: /* @__PURE__ */ __name(function repeat2(bar, step2) {
+      this.$refs.content[bar] += step2;
+      this.moveBar();
+    }, "repeat"),
+    setTimer: /* @__PURE__ */ __name(function setTimer(bar, step2) {
+      var _this2 = this;
+      this.clearTimer();
+      this.timer = setTimeout(function() {
+        _this2.repeat(bar, step2);
+      }, 40);
+    }, "setTimer"),
+    clearTimer: /* @__PURE__ */ __name(function clearTimer2() {
+      if (this.timer) {
+        clearTimeout(this.timer);
+      }
+    }, "clearTimer"),
+    onDocumentMouseMove: /* @__PURE__ */ __name(function onDocumentMouseMove(e) {
+      if (this.isXBarClicked) {
+        this.onMouseMoveForXBar(e);
+      } else if (this.isYBarClicked) {
+        this.onMouseMoveForYBar(e);
+      } else {
+        this.onMouseMoveForXBar(e);
+        this.onMouseMoveForYBar(e);
+      }
+    }, "onDocumentMouseMove"),
+    onMouseMoveForXBar: /* @__PURE__ */ __name(function onMouseMoveForXBar(e) {
+      var _this3 = this;
+      var deltaX = e.pageX - this.lastPageX;
+      this.lastPageX = e.pageX;
+      this.frame = this.requestAnimationFrame(function() {
+        _this3.$refs.content.scrollLeft += deltaX / _this3.scrollXRatio;
+      });
+    }, "onMouseMoveForXBar"),
+    onMouseMoveForYBar: /* @__PURE__ */ __name(function onMouseMoveForYBar(e) {
+      var _this4 = this;
+      var deltaY = e.pageY - this.lastPageY;
+      this.lastPageY = e.pageY;
+      this.frame = this.requestAnimationFrame(function() {
+        _this4.$refs.content.scrollTop += deltaY / _this4.scrollYRatio;
+      });
+    }, "onMouseMoveForYBar"),
+    onFocus: /* @__PURE__ */ __name(function onFocus4(event2) {
+      if (this.$refs.xBar.isSameNode(event2.target)) {
+        this.orientation = "horizontal";
+      } else if (this.$refs.yBar.isSameNode(event2.target)) {
+        this.orientation = "vertical";
+      }
+    }, "onFocus"),
+    onBlur: /* @__PURE__ */ __name(function onBlur4() {
+      if (this.orientation === "horizontal") {
+        this.orientation = "vertical";
+      }
+    }, "onBlur"),
+    onDocumentMouseUp: /* @__PURE__ */ __name(function onDocumentMouseUp() {
+      this.$refs.yBar.setAttribute("data-p-scrollpanel-grabbed", "false");
+      !this.isUnstyled && removeClass(this.$refs.yBar, "p-scrollpanel-grabbed");
+      this.$refs.xBar.setAttribute("data-p-scrollpanel-grabbed", "false");
+      !this.isUnstyled && removeClass(this.$refs.xBar, "p-scrollpanel-grabbed");
+      document.body.setAttribute("data-p-scrollpanel-grabbed", "false");
+      !this.isUnstyled && removeClass(document.body, "p-scrollpanel-grabbed");
+      this.unbindDocumentMouseListeners();
+      this.isXBarClicked = false;
+      this.isYBarClicked = false;
+    }, "onDocumentMouseUp"),
+    requestAnimationFrame: /* @__PURE__ */ __name(function requestAnimationFrame2(f) {
+      var frame = window.requestAnimationFrame || this.timeoutFrame;
+      return frame(f);
+    }, "requestAnimationFrame"),
+    refresh: /* @__PURE__ */ __name(function refresh() {
+      this.moveBar();
+    }, "refresh"),
+    scrollTop: /* @__PURE__ */ __name(function scrollTop(_scrollTop) {
+      var scrollableHeight = this.$refs.content.scrollHeight - this.$refs.content.clientHeight;
+      _scrollTop = _scrollTop > scrollableHeight ? scrollableHeight : _scrollTop > 0 ? _scrollTop : 0;
+      this.$refs.content.scrollTop = _scrollTop;
+    }, "scrollTop"),
+    timeoutFrame: /* @__PURE__ */ __name(function timeoutFrame(fn) {
+      setTimeout(fn, 0);
+    }, "timeoutFrame"),
+    bindDocumentMouseListeners: /* @__PURE__ */ __name(function bindDocumentMouseListeners() {
+      var _this5 = this;
+      if (!this.documentMouseMoveListener) {
+        this.documentMouseMoveListener = function(e) {
+          _this5.onDocumentMouseMove(e);
+        };
+        document.addEventListener("mousemove", this.documentMouseMoveListener);
+      }
+      if (!this.documentMouseUpListener) {
+        this.documentMouseUpListener = function(e) {
+          _this5.onDocumentMouseUp(e);
+        };
+        document.addEventListener("mouseup", this.documentMouseUpListener);
+      }
+    }, "bindDocumentMouseListeners"),
+    unbindDocumentMouseListeners: /* @__PURE__ */ __name(function unbindDocumentMouseListeners() {
+      if (this.documentMouseMoveListener) {
+        document.removeEventListener("mousemove", this.documentMouseMoveListener);
+        this.documentMouseMoveListener = null;
+      }
+      if (this.documentMouseUpListener) {
+        document.removeEventListener("mouseup", this.documentMouseUpListener);
+        this.documentMouseUpListener = null;
+      }
+    }, "unbindDocumentMouseListeners"),
+    bindDocumentResizeListener: /* @__PURE__ */ __name(function bindDocumentResizeListener() {
+      var _this6 = this;
+      if (!this.documentResizeListener) {
+        this.documentResizeListener = function() {
+          _this6.moveBar();
+        };
+        window.addEventListener("resize", this.documentResizeListener);
+      }
+    }, "bindDocumentResizeListener"),
+    unbindDocumentResizeListener: /* @__PURE__ */ __name(function unbindDocumentResizeListener() {
+      if (this.documentResizeListener) {
+        window.removeEventListener("resize", this.documentResizeListener);
+        this.documentResizeListener = null;
+      }
+    }, "unbindDocumentResizeListener")
+  },
+  computed: {
+    contentId: /* @__PURE__ */ __name(function contentId() {
+      return this.id + "_content";
+    }, "contentId")
+  }
+};
+var _hoisted_1$D = ["id"];
+var _hoisted_2$t = ["aria-controls", "aria-valuenow"];
+var _hoisted_3$d = ["aria-controls", "aria-valuenow"];
+function render$q(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root")
+  }, _ctx.ptmi("root")), [createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("contentContainer")
+  }, _ctx.ptm("contentContainer")), [createBaseVNode("div", mergeProps({
+    ref: "content",
+    id: $options.contentId,
+    "class": _ctx.cx("content"),
+    onScroll: _cache[0] || (_cache[0] = function() {
+      return $options.onScroll && $options.onScroll.apply($options, arguments);
+    }),
+    onMouseenter: _cache[1] || (_cache[1] = function() {
+      return $options.moveBar && $options.moveBar.apply($options, arguments);
+    })
+  }, _ctx.ptm("content")), [renderSlot(_ctx.$slots, "default")], 16, _hoisted_1$D)], 16), createBaseVNode("div", mergeProps({
+    ref: "xBar",
+    "class": _ctx.cx("barx"),
+    tabindex: "0",
+    role: "scrollbar",
+    "aria-orientation": "horizontal",
+    "aria-controls": $options.contentId,
+    "aria-valuenow": $data.lastScrollLeft,
+    onMousedown: _cache[2] || (_cache[2] = function() {
+      return $options.onXBarMouseDown && $options.onXBarMouseDown.apply($options, arguments);
+    }),
+    onKeydown: _cache[3] || (_cache[3] = function($event) {
+      return $options.onKeyDown($event);
+    }),
+    onKeyup: _cache[4] || (_cache[4] = function() {
+      return $options.onKeyUp && $options.onKeyUp.apply($options, arguments);
+    }),
+    onFocus: _cache[5] || (_cache[5] = function() {
+      return $options.onFocus && $options.onFocus.apply($options, arguments);
+    }),
+    onBlur: _cache[6] || (_cache[6] = function() {
+      return $options.onBlur && $options.onBlur.apply($options, arguments);
+    })
+  }, _ctx.ptm("barx"), {
+    "data-pc-group-section": "bar"
+  }), null, 16, _hoisted_2$t), createBaseVNode("div", mergeProps({
+    ref: "yBar",
+    "class": _ctx.cx("bary"),
+    tabindex: "0",
+    role: "scrollbar",
+    "aria-orientation": "vertical",
+    "aria-controls": $options.contentId,
+    "aria-valuenow": $data.lastScrollTop,
+    onMousedown: _cache[7] || (_cache[7] = function() {
+      return $options.onYBarMouseDown && $options.onYBarMouseDown.apply($options, arguments);
+    }),
+    onKeydown: _cache[8] || (_cache[8] = function($event) {
+      return $options.onKeyDown($event);
+    }),
+    onKeyup: _cache[9] || (_cache[9] = function() {
+      return $options.onKeyUp && $options.onKeyUp.apply($options, arguments);
+    }),
+    onFocus: _cache[10] || (_cache[10] = function() {
+      return $options.onFocus && $options.onFocus.apply($options, arguments);
+    })
+  }, _ctx.ptm("bary"), {
+    "data-pc-group-section": "bar"
+  }), null, 16, _hoisted_3$d)], 16);
+}
+__name(render$q, "render$q");
+script$r.render = render$q;
+/*!
+  * shared v9.13.1
+  * (c) 2024 kazuya kawaguchi
+  * Released under the MIT License.
+  */
+const inBrowser = typeof window !== "undefined";
+let mark;
+let measure;
+if (false) {
+  const perf2 = inBrowser && window.performance;
+  if (perf2 && perf2.mark && perf2.measure && perf2.clearMarks && // @ts-ignore browser compat
+  perf2.clearMeasures) {
+    mark = /* @__PURE__ */ __name((tag) => {
+      perf2.mark(tag);
+    }, "mark");
+    measure = /* @__PURE__ */ __name((name, startTag, endTag) => {
+      perf2.measure(name, startTag, endTag);
+      perf2.clearMarks(startTag);
+      perf2.clearMarks(endTag);
+    }, "measure");
+  }
+}
+const RE_ARGS$1 = /\{([0-9a-zA-Z]+)\}/g;
+function format$4(message3, ...args) {
+  if (args.length === 1 && isObject$2(args[0])) {
+    args = args[0];
+  }
+  if (!args || !args.hasOwnProperty) {
+    args = {};
+  }
+  return message3.replace(RE_ARGS$1, (match, identifier) => {
+    return args.hasOwnProperty(identifier) ? args[identifier] : "";
+  });
+}
+__name(format$4, "format$4");
+const makeSymbol = /* @__PURE__ */ __name((name, shareable = false) => !shareable ? Symbol(name) : Symbol.for(name), "makeSymbol");
+const generateFormatCacheKey = /* @__PURE__ */ __name((locale2, key, source) => friendlyJSONstringify({ l: locale2, k: key, s: source }), "generateFormatCacheKey");
+const friendlyJSONstringify = /* @__PURE__ */ __name((json) => JSON.stringify(json).replace(/\u2028/g, "\\u2028").replace(/\u2029/g, "\\u2029").replace(/\u0027/g, "\\u0027"), "friendlyJSONstringify");
+const isNumber$1 = /* @__PURE__ */ __name((val) => typeof val === "number" && isFinite(val), "isNumber$1");
+const isDate = /* @__PURE__ */ __name((val) => toTypeString(val) === "[object Date]", "isDate");
+const isRegExp = /* @__PURE__ */ __name((val) => toTypeString(val) === "[object RegExp]", "isRegExp");
+const isEmptyObject = /* @__PURE__ */ __name((val) => isPlainObject(val) && Object.keys(val).length === 0, "isEmptyObject");
+const assign$1 = Object.assign;
+let _globalThis;
+const getGlobalThis = /* @__PURE__ */ __name(() => {
+  return _globalThis || (_globalThis = typeof globalThis !== "undefined" ? globalThis : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : typeof global !== "undefined" ? global : {});
+}, "getGlobalThis");
+function escapeHtml(rawText) {
+  return rawText.replace(/</g, "&lt;").replace(/>/g, "&gt;").replace(/"/g, "&quot;").replace(/'/g, "&apos;");
+}
+__name(escapeHtml, "escapeHtml");
+const hasOwnProperty = Object.prototype.hasOwnProperty;
+function hasOwn$1(obj, key) {
+  return hasOwnProperty.call(obj, key);
+}
+__name(hasOwn$1, "hasOwn$1");
+const isArray$1 = Array.isArray;
+const isFunction$1 = /* @__PURE__ */ __name((val) => typeof val === "function", "isFunction$1");
+const isString$2 = /* @__PURE__ */ __name((val) => typeof val === "string", "isString$2");
+const isBoolean$1 = /* @__PURE__ */ __name((val) => typeof val === "boolean", "isBoolean$1");
+const isSymbol = /* @__PURE__ */ __name((val) => typeof val === "symbol", "isSymbol");
+const isObject$2 = /* @__PURE__ */ __name((val) => val !== null && typeof val === "object", "isObject$2");
+const isPromise$1 = /* @__PURE__ */ __name((val) => {
+  return isObject$2(val) && isFunction$1(val.then) && isFunction$1(val.catch);
+}, "isPromise$1");
+const objectToString = Object.prototype.toString;
+const toTypeString = /* @__PURE__ */ __name((value3) => objectToString.call(value3), "toTypeString");
+const isPlainObject = /* @__PURE__ */ __name((val) => {
+  if (!isObject$2(val))
+    return false;
+  const proto = Object.getPrototypeOf(val);
+  return proto === null || proto.constructor === Object;
+}, "isPlainObject");
+const toDisplayString = /* @__PURE__ */ __name((val) => {
+  return val == null ? "" : isArray$1(val) || isPlainObject(val) && val.toString === objectToString ? JSON.stringify(val, null, 2) : String(val);
+}, "toDisplayString");
+function join$1(items2, separator = "") {
+  return items2.reduce((str, item2, index2) => index2 === 0 ? str + item2 : str + separator + item2, "");
+}
+__name(join$1, "join$1");
+const RANGE = 2;
+function generateCodeFrame(source, start2 = 0, end = source.length) {
+  const lines = source.split(/\r?\n/);
+  let count = 0;
+  const res = [];
+  for (let i2 = 0; i2 < lines.length; i2++) {
+    count += lines[i2].length + 1;
+    if (count >= start2) {
+      for (let j = i2 - RANGE; j <= i2 + RANGE || end > count; j++) {
+        if (j < 0 || j >= lines.length)
+          continue;
+        const line = j + 1;
+        res.push(`${line}${" ".repeat(3 - String(line).length)}|  ${lines[j]}`);
+        const lineLength = lines[j].length;
+        if (j === i2) {
+          const pad = start2 - (count - lineLength) + 1;
+          const length = Math.max(1, end > count ? lineLength - pad : end - start2);
+          res.push(`   |  ` + " ".repeat(pad) + "^".repeat(length));
+        } else if (j > i2) {
+          if (end > count) {
+            const length = Math.max(Math.min(end - count, lineLength), 1);
+            res.push(`   |  ` + "^".repeat(length));
+          }
+          count += lineLength + 1;
+        }
+      }
+      break;
+    }
+  }
+  return res.join("\n");
+}
+__name(generateCodeFrame, "generateCodeFrame");
+function incrementer(code2) {
+  let current = code2;
+  return () => ++current;
+}
+__name(incrementer, "incrementer");
+function warn(msg, err) {
+  if (typeof console !== "undefined") {
+    console.warn(`[intlify] ` + msg);
+    if (err) {
+      console.warn(err.stack);
+    }
+  }
+}
+__name(warn, "warn");
+const hasWarned = {};
+function warnOnce(msg) {
+  if (!hasWarned[msg]) {
+    hasWarned[msg] = true;
+    warn(msg);
+  }
+}
+__name(warnOnce, "warnOnce");
+function createEmitter() {
+  const events2 = /* @__PURE__ */ new Map();
+  const emitter = {
+    events: events2,
+    on(event2, handler6) {
+      const handlers2 = events2.get(event2);
+      const added = handlers2 && handlers2.push(handler6);
+      if (!added) {
+        events2.set(event2, [handler6]);
+      }
+    },
+    off(event2, handler6) {
+      const handlers2 = events2.get(event2);
+      if (handlers2) {
+        handlers2.splice(handlers2.indexOf(handler6) >>> 0, 1);
+      }
+    },
+    emit(event2, payload) {
+      (events2.get(event2) || []).slice().map((handler6) => handler6(payload));
+      (events2.get("*") || []).slice().map((handler6) => handler6(event2, payload));
+    }
+  };
+  return emitter;
+}
+__name(createEmitter, "createEmitter");
+const isNotObjectOrIsArray = /* @__PURE__ */ __name((val) => !isObject$2(val) || isArray$1(val), "isNotObjectOrIsArray");
+function deepCopy(src, des) {
+  if (isNotObjectOrIsArray(src) || isNotObjectOrIsArray(des)) {
+    throw new Error("Invalid value");
+  }
+  const stack2 = [{ src, des }];
+  while (stack2.length) {
+    const { src: src2, des: des2 } = stack2.pop();
+    Object.keys(src2).forEach((key) => {
+      if (isNotObjectOrIsArray(src2[key]) || isNotObjectOrIsArray(des2[key])) {
+        des2[key] = src2[key];
+      } else {
+        stack2.push({ src: src2[key], des: des2[key] });
+      }
+    });
+  }
+}
+__name(deepCopy, "deepCopy");
+/*!
+  * message-compiler v9.13.1
+  * (c) 2024 kazuya kawaguchi
+  * Released under the MIT License.
+  */
+const LOCATION_STUB = {
+  start: { line: 1, column: 1, offset: 0 },
+  end: { line: 1, column: 1, offset: 0 }
+};
+function createPosition(line, column, offset) {
+  return { line, column, offset };
+}
+__name(createPosition, "createPosition");
+function createLocation(start2, end, source) {
+  const loc = { start: start2, end };
+  if (source != null) {
+    loc.source = source;
+  }
+  return loc;
+}
+__name(createLocation, "createLocation");
+const RE_ARGS = /\{([0-9a-zA-Z]+)\}/g;
+function format$3(message3, ...args) {
+  if (args.length === 1 && isObject$1(args[0])) {
+    args = args[0];
+  }
+  if (!args || !args.hasOwnProperty) {
+    args = {};
+  }
+  return message3.replace(RE_ARGS, (match, identifier) => {
+    return args.hasOwnProperty(identifier) ? args[identifier] : "";
+  });
+}
+__name(format$3, "format$3");
+const assign = Object.assign;
+const isString$1 = /* @__PURE__ */ __name((val) => typeof val === "string", "isString$1");
+const isObject$1 = /* @__PURE__ */ __name((val) => val !== null && typeof val === "object", "isObject$1");
+function join(items2, separator = "") {
+  return items2.reduce((str, item2, index2) => index2 === 0 ? str + item2 : str + separator + item2, "");
+}
+__name(join, "join");
+const CompileWarnCodes = {
+  USE_MODULO_SYNTAX: 1,
+  __EXTEND_POINT__: 2
+};
+const warnMessages$2 = {
+  [CompileWarnCodes.USE_MODULO_SYNTAX]: `Use modulo before '{{0}}'.`
+};
+function createCompileWarn(code2, loc, ...args) {
+  const msg = format$3(warnMessages$2[code2] || "", ...args || []);
+  const message3 = { message: String(msg), code: code2 };
+  if (loc) {
+    message3.location = loc;
+  }
+  return message3;
+}
+__name(createCompileWarn, "createCompileWarn");
+const CompileErrorCodes = {
+  // tokenizer error codes
+  EXPECTED_TOKEN: 1,
+  INVALID_TOKEN_IN_PLACEHOLDER: 2,
+  UNTERMINATED_SINGLE_QUOTE_IN_PLACEHOLDER: 3,
+  UNKNOWN_ESCAPE_SEQUENCE: 4,
+  INVALID_UNICODE_ESCAPE_SEQUENCE: 5,
+  UNBALANCED_CLOSING_BRACE: 6,
+  UNTERMINATED_CLOSING_BRACE: 7,
+  EMPTY_PLACEHOLDER: 8,
+  NOT_ALLOW_NEST_PLACEHOLDER: 9,
+  INVALID_LINKED_FORMAT: 10,
+  // parser error codes
+  MUST_HAVE_MESSAGES_IN_PLURAL: 11,
+  UNEXPECTED_EMPTY_LINKED_MODIFIER: 12,
+  UNEXPECTED_EMPTY_LINKED_KEY: 13,
+  UNEXPECTED_LEXICAL_ANALYSIS: 14,
+  // generator error codes
+  UNHANDLED_CODEGEN_NODE_TYPE: 15,
+  // minifier error codes
+  UNHANDLED_MINIFIER_NODE_TYPE: 16,
+  // Special value for higher-order compilers to pick up the last code
+  // to avoid collision of error codes. This should always be kept as the last
+  // item.
+  __EXTEND_POINT__: 17
+};
+const errorMessages$2 = {
+  // tokenizer error messages
+  [CompileErrorCodes.EXPECTED_TOKEN]: `Expected token: '{0}'`,
+  [CompileErrorCodes.INVALID_TOKEN_IN_PLACEHOLDER]: `Invalid token in placeholder: '{0}'`,
+  [CompileErrorCodes.UNTERMINATED_SINGLE_QUOTE_IN_PLACEHOLDER]: `Unterminated single quote in placeholder`,
+  [CompileErrorCodes.UNKNOWN_ESCAPE_SEQUENCE]: `Unknown escape sequence: \\{0}`,
+  [CompileErrorCodes.INVALID_UNICODE_ESCAPE_SEQUENCE]: `Invalid unicode escape sequence: {0}`,
+  [CompileErrorCodes.UNBALANCED_CLOSING_BRACE]: `Unbalanced closing brace`,
+  [CompileErrorCodes.UNTERMINATED_CLOSING_BRACE]: `Unterminated closing brace`,
+  [CompileErrorCodes.EMPTY_PLACEHOLDER]: `Empty placeholder`,
+  [CompileErrorCodes.NOT_ALLOW_NEST_PLACEHOLDER]: `Not allowed nest placeholder`,
+  [CompileErrorCodes.INVALID_LINKED_FORMAT]: `Invalid linked format`,
+  // parser error messages
+  [CompileErrorCodes.MUST_HAVE_MESSAGES_IN_PLURAL]: `Plural must have messages`,
+  [CompileErrorCodes.UNEXPECTED_EMPTY_LINKED_MODIFIER]: `Unexpected empty linked modifier`,
+  [CompileErrorCodes.UNEXPECTED_EMPTY_LINKED_KEY]: `Unexpected empty linked key`,
+  [CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS]: `Unexpected lexical analysis in token: '{0}'`,
+  // generator error messages
+  [CompileErrorCodes.UNHANDLED_CODEGEN_NODE_TYPE]: `unhandled codegen node type: '{0}'`,
+  // minimizer error messages
+  [CompileErrorCodes.UNHANDLED_MINIFIER_NODE_TYPE]: `unhandled mimifier node type: '{0}'`
+};
+function createCompileError(code2, loc, options3 = {}) {
+  const { domain, messages: messages2, args } = options3;
+  const msg = format$3((messages2 || errorMessages$2)[code2] || "", ...args || []);
+  const error = new SyntaxError(String(msg));
+  error.code = code2;
+  if (loc) {
+    error.location = loc;
+  }
+  error.domain = domain;
+  return error;
+}
+__name(createCompileError, "createCompileError");
+function defaultOnError(error) {
+  throw error;
+}
+__name(defaultOnError, "defaultOnError");
+const RE_HTML_TAG = /<\/?[\w\s="/.':;#-\/]+>/;
+const detectHtmlTag = /* @__PURE__ */ __name((source) => RE_HTML_TAG.test(source), "detectHtmlTag");
+const CHAR_SP = " ";
+const CHAR_CR = "\r";
+const CHAR_LF = "\n";
+const CHAR_LS = String.fromCharCode(8232);
+const CHAR_PS = String.fromCharCode(8233);
+function createScanner(str) {
+  const _buf = str;
+  let _index = 0;
+  let _line = 1;
+  let _column = 1;
+  let _peekOffset = 0;
+  const isCRLF = /* @__PURE__ */ __name((index3) => _buf[index3] === CHAR_CR && _buf[index3 + 1] === CHAR_LF, "isCRLF");
+  const isLF = /* @__PURE__ */ __name((index3) => _buf[index3] === CHAR_LF, "isLF");
+  const isPS = /* @__PURE__ */ __name((index3) => _buf[index3] === CHAR_PS, "isPS");
+  const isLS = /* @__PURE__ */ __name((index3) => _buf[index3] === CHAR_LS, "isLS");
+  const isLineEnd = /* @__PURE__ */ __name((index3) => isCRLF(index3) || isLF(index3) || isPS(index3) || isLS(index3), "isLineEnd");
+  const index2 = /* @__PURE__ */ __name(() => _index, "index");
+  const line = /* @__PURE__ */ __name(() => _line, "line");
+  const column = /* @__PURE__ */ __name(() => _column, "column");
+  const peekOffset = /* @__PURE__ */ __name(() => _peekOffset, "peekOffset");
+  const charAt = /* @__PURE__ */ __name((offset) => isCRLF(offset) || isPS(offset) || isLS(offset) ? CHAR_LF : _buf[offset], "charAt");
+  const currentChar = /* @__PURE__ */ __name(() => charAt(_index), "currentChar");
+  const currentPeek = /* @__PURE__ */ __name(() => charAt(_index + _peekOffset), "currentPeek");
+  function next2() {
+    _peekOffset = 0;
+    if (isLineEnd(_index)) {
+      _line++;
+      _column = 0;
+    }
+    if (isCRLF(_index)) {
+      _index++;
+    }
+    _index++;
+    _column++;
+    return _buf[_index];
+  }
+  __name(next2, "next");
+  function peek() {
+    if (isCRLF(_index + _peekOffset)) {
+      _peekOffset++;
+    }
+    _peekOffset++;
+    return _buf[_index + _peekOffset];
+  }
+  __name(peek, "peek");
+  function reset() {
+    _index = 0;
+    _line = 1;
+    _column = 1;
+    _peekOffset = 0;
+  }
+  __name(reset, "reset");
+  function resetPeek(offset = 0) {
+    _peekOffset = offset;
+  }
+  __name(resetPeek, "resetPeek");
+  function skipToPeek() {
+    const target = _index + _peekOffset;
+    while (target !== _index) {
+      next2();
+    }
+    _peekOffset = 0;
+  }
+  __name(skipToPeek, "skipToPeek");
+  return {
+    index: index2,
+    line,
+    column,
+    peekOffset,
+    charAt,
+    currentChar,
+    currentPeek,
+    next: next2,
+    peek,
+    reset,
+    resetPeek,
+    skipToPeek
+  };
+}
+__name(createScanner, "createScanner");
+const EOF = void 0;
+const DOT = ".";
+const LITERAL_DELIMITER = "'";
+const ERROR_DOMAIN$3 = "tokenizer";
+function createTokenizer(source, options3 = {}) {
+  const location2 = options3.location !== false;
+  const _scnr = createScanner(source);
+  const currentOffset = /* @__PURE__ */ __name(() => _scnr.index(), "currentOffset");
+  const currentPosition = /* @__PURE__ */ __name(() => createPosition(_scnr.line(), _scnr.column(), _scnr.index()), "currentPosition");
+  const _initLoc = currentPosition();
+  const _initOffset = currentOffset();
+  const _context = {
+    currentType: 14,
+    offset: _initOffset,
+    startLoc: _initLoc,
+    endLoc: _initLoc,
+    lastType: 14,
+    lastOffset: _initOffset,
+    lastStartLoc: _initLoc,
+    lastEndLoc: _initLoc,
+    braceNest: 0,
+    inLinked: false,
+    text: ""
+  };
+  const context = /* @__PURE__ */ __name(() => _context, "context");
+  const { onError } = options3;
+  function emitError(code2, pos2, offset, ...args) {
+    const ctx = context();
+    pos2.column += offset;
+    pos2.offset += offset;
+    if (onError) {
+      const loc = location2 ? createLocation(ctx.startLoc, pos2) : null;
+      const err = createCompileError(code2, loc, {
+        domain: ERROR_DOMAIN$3,
+        args
+      });
+      onError(err);
+    }
+  }
+  __name(emitError, "emitError");
+  function getToken(context2, type, value3) {
+    context2.endLoc = currentPosition();
+    context2.currentType = type;
+    const token = { type };
+    if (location2) {
+      token.loc = createLocation(context2.startLoc, context2.endLoc);
+    }
+    if (value3 != null) {
+      token.value = value3;
+    }
+    return token;
+  }
+  __name(getToken, "getToken");
+  const getEndToken = /* @__PURE__ */ __name((context2) => getToken(
+    context2,
+    14
+    /* TokenTypes.EOF */
+  ), "getEndToken");
+  function eat(scnr, ch) {
+    if (scnr.currentChar() === ch) {
+      scnr.next();
+      return ch;
+    } else {
+      emitError(CompileErrorCodes.EXPECTED_TOKEN, currentPosition(), 0, ch);
+      return "";
+    }
+  }
+  __name(eat, "eat");
+  function peekSpaces(scnr) {
+    let buf = "";
+    while (scnr.currentPeek() === CHAR_SP || scnr.currentPeek() === CHAR_LF) {
+      buf += scnr.currentPeek();
+      scnr.peek();
+    }
+    return buf;
+  }
+  __name(peekSpaces, "peekSpaces");
+  function skipSpaces(scnr) {
+    const buf = peekSpaces(scnr);
+    scnr.skipToPeek();
+    return buf;
+  }
+  __name(skipSpaces, "skipSpaces");
+  function isIdentifierStart(ch) {
+    if (ch === EOF) {
+      return false;
+    }
+    const cc = ch.charCodeAt(0);
+    return cc >= 97 && cc <= 122 || // a-z
+    cc >= 65 && cc <= 90 || // A-Z
+    cc === 95;
+  }
+  __name(isIdentifierStart, "isIdentifierStart");
+  function isNumberStart(ch) {
+    if (ch === EOF) {
+      return false;
+    }
+    const cc = ch.charCodeAt(0);
+    return cc >= 48 && cc <= 57;
+  }
+  __name(isNumberStart, "isNumberStart");
+  function isNamedIdentifierStart(scnr, context2) {
+    const { currentType } = context2;
+    if (currentType !== 2) {
+      return false;
+    }
+    peekSpaces(scnr);
+    const ret = isIdentifierStart(scnr.currentPeek());
+    scnr.resetPeek();
+    return ret;
+  }
+  __name(isNamedIdentifierStart, "isNamedIdentifierStart");
+  function isListIdentifierStart(scnr, context2) {
+    const { currentType } = context2;
+    if (currentType !== 2) {
+      return false;
+    }
+    peekSpaces(scnr);
+    const ch = scnr.currentPeek() === "-" ? scnr.peek() : scnr.currentPeek();
+    const ret = isNumberStart(ch);
+    scnr.resetPeek();
+    return ret;
+  }
+  __name(isListIdentifierStart, "isListIdentifierStart");
+  function isLiteralStart(scnr, context2) {
+    const { currentType } = context2;
+    if (currentType !== 2) {
+      return false;
+    }
+    peekSpaces(scnr);
+    const ret = scnr.currentPeek() === LITERAL_DELIMITER;
+    scnr.resetPeek();
+    return ret;
+  }
+  __name(isLiteralStart, "isLiteralStart");
+  function isLinkedDotStart(scnr, context2) {
+    const { currentType } = context2;
+    if (currentType !== 8) {
+      return false;
+    }
+    peekSpaces(scnr);
+    const ret = scnr.currentPeek() === ".";
+    scnr.resetPeek();
+    return ret;
+  }
+  __name(isLinkedDotStart, "isLinkedDotStart");
+  function isLinkedModifierStart(scnr, context2) {
+    const { currentType } = context2;
+    if (currentType !== 9) {
+      return false;
+    }
+    peekSpaces(scnr);
+    const ret = isIdentifierStart(scnr.currentPeek());
+    scnr.resetPeek();
+    return ret;
+  }
+  __name(isLinkedModifierStart, "isLinkedModifierStart");
+  function isLinkedDelimiterStart(scnr, context2) {
+    const { currentType } = context2;
+    if (!(currentType === 8 || currentType === 12)) {
+      return false;
+    }
+    peekSpaces(scnr);
+    const ret = scnr.currentPeek() === ":";
+    scnr.resetPeek();
+    return ret;
+  }
+  __name(isLinkedDelimiterStart, "isLinkedDelimiterStart");
+  function isLinkedReferStart(scnr, context2) {
+    const { currentType } = context2;
+    if (currentType !== 10) {
+      return false;
+    }
+    const fn = /* @__PURE__ */ __name(() => {
+      const ch = scnr.currentPeek();
+      if (ch === "{") {
+        return isIdentifierStart(scnr.peek());
+      } else if (ch === "@" || ch === "%" || ch === "|" || ch === ":" || ch === "." || ch === CHAR_SP || !ch) {
+        return false;
+      } else if (ch === CHAR_LF) {
+        scnr.peek();
+        return fn();
+      } else {
+        return isTextStart(scnr, false);
+      }
+    }, "fn");
+    const ret = fn();
+    scnr.resetPeek();
+    return ret;
+  }
+  __name(isLinkedReferStart, "isLinkedReferStart");
+  function isPluralStart(scnr) {
+    peekSpaces(scnr);
+    const ret = scnr.currentPeek() === "|";
+    scnr.resetPeek();
+    return ret;
+  }
+  __name(isPluralStart, "isPluralStart");
+  function detectModuloStart(scnr) {
+    const spaces = peekSpaces(scnr);
+    const ret = scnr.currentPeek() === "%" && scnr.peek() === "{";
+    scnr.resetPeek();
+    return {
+      isModulo: ret,
+      hasSpace: spaces.length > 0
+    };
+  }
+  __name(detectModuloStart, "detectModuloStart");
+  function isTextStart(scnr, reset = true) {
+    const fn = /* @__PURE__ */ __name((hasSpace = false, prev2 = "", detectModulo = false) => {
+      const ch = scnr.currentPeek();
+      if (ch === "{") {
+        return prev2 === "%" ? false : hasSpace;
+      } else if (ch === "@" || !ch) {
+        return prev2 === "%" ? true : hasSpace;
+      } else if (ch === "%") {
+        scnr.peek();
+        return fn(hasSpace, "%", true);
+      } else if (ch === "|") {
+        return prev2 === "%" || detectModulo ? true : !(prev2 === CHAR_SP || prev2 === CHAR_LF);
+      } else if (ch === CHAR_SP) {
+        scnr.peek();
+        return fn(true, CHAR_SP, detectModulo);
+      } else if (ch === CHAR_LF) {
+        scnr.peek();
+        return fn(true, CHAR_LF, detectModulo);
+      } else {
+        return true;
+      }
+    }, "fn");
+    const ret = fn();
+    reset && scnr.resetPeek();
+    return ret;
+  }
+  __name(isTextStart, "isTextStart");
+  function takeChar(scnr, fn) {
+    const ch = scnr.currentChar();
+    if (ch === EOF) {
+      return EOF;
+    }
+    if (fn(ch)) {
+      scnr.next();
+      return ch;
+    }
+    return null;
+  }
+  __name(takeChar, "takeChar");
+  function isIdentifier(ch) {
+    const cc = ch.charCodeAt(0);
+    return cc >= 97 && cc <= 122 || // a-z
+    cc >= 65 && cc <= 90 || // A-Z
+    cc >= 48 && cc <= 57 || // 0-9
+    cc === 95 || // _
+    cc === 36;
+  }
+  __name(isIdentifier, "isIdentifier");
+  function takeIdentifierChar(scnr) {
+    return takeChar(scnr, isIdentifier);
+  }
+  __name(takeIdentifierChar, "takeIdentifierChar");
+  function isNamedIdentifier(ch) {
+    const cc = ch.charCodeAt(0);
+    return cc >= 97 && cc <= 122 || // a-z
+    cc >= 65 && cc <= 90 || // A-Z
+    cc >= 48 && cc <= 57 || // 0-9
+    cc === 95 || // _
+    cc === 36 || // $
+    cc === 45;
+  }
+  __name(isNamedIdentifier, "isNamedIdentifier");
+  function takeNamedIdentifierChar(scnr) {
+    return takeChar(scnr, isNamedIdentifier);
+  }
+  __name(takeNamedIdentifierChar, "takeNamedIdentifierChar");
+  function isDigit(ch) {
+    const cc = ch.charCodeAt(0);
+    return cc >= 48 && cc <= 57;
+  }
+  __name(isDigit, "isDigit");
+  function takeDigit(scnr) {
+    return takeChar(scnr, isDigit);
+  }
+  __name(takeDigit, "takeDigit");
+  function isHexDigit(ch) {
+    const cc = ch.charCodeAt(0);
+    return cc >= 48 && cc <= 57 || // 0-9
+    cc >= 65 && cc <= 70 || // A-F
+    cc >= 97 && cc <= 102;
+  }
+  __name(isHexDigit, "isHexDigit");
+  function takeHexDigit(scnr) {
+    return takeChar(scnr, isHexDigit);
+  }
+  __name(takeHexDigit, "takeHexDigit");
+  function getDigits(scnr) {
+    let ch = "";
+    let num = "";
+    while (ch = takeDigit(scnr)) {
+      num += ch;
+    }
+    return num;
+  }
+  __name(getDigits, "getDigits");
+  function readModulo(scnr) {
+    skipSpaces(scnr);
+    const ch = scnr.currentChar();
+    if (ch !== "%") {
+      emitError(CompileErrorCodes.EXPECTED_TOKEN, currentPosition(), 0, ch);
+    }
+    scnr.next();
+    return "%";
+  }
+  __name(readModulo, "readModulo");
+  function readText(scnr) {
+    let buf = "";
+    while (true) {
+      const ch = scnr.currentChar();
+      if (ch === "{" || ch === "}" || ch === "@" || ch === "|" || !ch) {
+        break;
+      } else if (ch === "%") {
+        if (isTextStart(scnr)) {
+          buf += ch;
+          scnr.next();
+        } else {
+          break;
+        }
+      } else if (ch === CHAR_SP || ch === CHAR_LF) {
+        if (isTextStart(scnr)) {
+          buf += ch;
+          scnr.next();
+        } else if (isPluralStart(scnr)) {
+          break;
+        } else {
+          buf += ch;
+          scnr.next();
+        }
+      } else {
+        buf += ch;
+        scnr.next();
+      }
+    }
+    return buf;
+  }
+  __name(readText, "readText");
+  function readNamedIdentifier(scnr) {
+    skipSpaces(scnr);
+    let ch = "";
+    let name = "";
+    while (ch = takeNamedIdentifierChar(scnr)) {
+      name += ch;
+    }
+    if (scnr.currentChar() === EOF) {
+      emitError(CompileErrorCodes.UNTERMINATED_CLOSING_BRACE, currentPosition(), 0);
+    }
+    return name;
+  }
+  __name(readNamedIdentifier, "readNamedIdentifier");
+  function readListIdentifier(scnr) {
+    skipSpaces(scnr);
+    let value3 = "";
+    if (scnr.currentChar() === "-") {
+      scnr.next();
+      value3 += `-${getDigits(scnr)}`;
+    } else {
+      value3 += getDigits(scnr);
+    }
+    if (scnr.currentChar() === EOF) {
+      emitError(CompileErrorCodes.UNTERMINATED_CLOSING_BRACE, currentPosition(), 0);
+    }
+    return value3;
+  }
+  __name(readListIdentifier, "readListIdentifier");
+  function isLiteral2(ch) {
+    return ch !== LITERAL_DELIMITER && ch !== CHAR_LF;
+  }
+  __name(isLiteral2, "isLiteral");
+  function readLiteral(scnr) {
+    skipSpaces(scnr);
+    eat(scnr, `'`);
+    let ch = "";
+    let literal = "";
+    while (ch = takeChar(scnr, isLiteral2)) {
+      if (ch === "\\") {
+        literal += readEscapeSequence(scnr);
+      } else {
+        literal += ch;
+      }
+    }
+    const current = scnr.currentChar();
+    if (current === CHAR_LF || current === EOF) {
+      emitError(CompileErrorCodes.UNTERMINATED_SINGLE_QUOTE_IN_PLACEHOLDER, currentPosition(), 0);
+      if (current === CHAR_LF) {
+        scnr.next();
+        eat(scnr, `'`);
+      }
+      return literal;
+    }
+    eat(scnr, `'`);
+    return literal;
+  }
+  __name(readLiteral, "readLiteral");
+  function readEscapeSequence(scnr) {
+    const ch = scnr.currentChar();
+    switch (ch) {
+      case "\\":
+      case `'`:
+        scnr.next();
+        return `\\${ch}`;
+      case "u":
+        return readUnicodeEscapeSequence(scnr, ch, 4);
+      case "U":
+        return readUnicodeEscapeSequence(scnr, ch, 6);
+      default:
+        emitError(CompileErrorCodes.UNKNOWN_ESCAPE_SEQUENCE, currentPosition(), 0, ch);
+        return "";
+    }
+  }
+  __name(readEscapeSequence, "readEscapeSequence");
+  function readUnicodeEscapeSequence(scnr, unicode, digits) {
+    eat(scnr, unicode);
+    let sequence = "";
+    for (let i2 = 0; i2 < digits; i2++) {
+      const ch = takeHexDigit(scnr);
+      if (!ch) {
+        emitError(CompileErrorCodes.INVALID_UNICODE_ESCAPE_SEQUENCE, currentPosition(), 0, `\\${unicode}${sequence}${scnr.currentChar()}`);
+        break;
+      }
+      sequence += ch;
+    }
+    return `\\${unicode}${sequence}`;
+  }
+  __name(readUnicodeEscapeSequence, "readUnicodeEscapeSequence");
+  function isInvalidIdentifier(ch) {
+    return ch !== "{" && ch !== "}" && ch !== CHAR_SP && ch !== CHAR_LF;
+  }
+  __name(isInvalidIdentifier, "isInvalidIdentifier");
+  function readInvalidIdentifier(scnr) {
+    skipSpaces(scnr);
+    let ch = "";
+    let identifiers = "";
+    while (ch = takeChar(scnr, isInvalidIdentifier)) {
+      identifiers += ch;
+    }
+    return identifiers;
+  }
+  __name(readInvalidIdentifier, "readInvalidIdentifier");
+  function readLinkedModifier(scnr) {
+    let ch = "";
+    let name = "";
+    while (ch = takeIdentifierChar(scnr)) {
+      name += ch;
+    }
+    return name;
+  }
+  __name(readLinkedModifier, "readLinkedModifier");
+  function readLinkedRefer(scnr) {
+    const fn = /* @__PURE__ */ __name((buf) => {
+      const ch = scnr.currentChar();
+      if (ch === "{" || ch === "%" || ch === "@" || ch === "|" || ch === "(" || ch === ")" || !ch) {
+        return buf;
+      } else if (ch === CHAR_SP) {
+        return buf;
+      } else if (ch === CHAR_LF || ch === DOT) {
+        buf += ch;
+        scnr.next();
+        return fn(buf);
+      } else {
+        buf += ch;
+        scnr.next();
+        return fn(buf);
+      }
+    }, "fn");
+    return fn("");
+  }
+  __name(readLinkedRefer, "readLinkedRefer");
+  function readPlural(scnr) {
+    skipSpaces(scnr);
+    const plural = eat(
+      scnr,
+      "|"
+      /* TokenChars.Pipe */
+    );
+    skipSpaces(scnr);
+    return plural;
+  }
+  __name(readPlural, "readPlural");
+  function readTokenInPlaceholder(scnr, context2) {
+    let token = null;
+    const ch = scnr.currentChar();
+    switch (ch) {
+      case "{":
+        if (context2.braceNest >= 1) {
+          emitError(CompileErrorCodes.NOT_ALLOW_NEST_PLACEHOLDER, currentPosition(), 0);
+        }
+        scnr.next();
+        token = getToken(
+          context2,
+          2,
+          "{"
+          /* TokenChars.BraceLeft */
+        );
+        skipSpaces(scnr);
+        context2.braceNest++;
+        return token;
+      case "}":
+        if (context2.braceNest > 0 && context2.currentType === 2) {
+          emitError(CompileErrorCodes.EMPTY_PLACEHOLDER, currentPosition(), 0);
+        }
+        scnr.next();
+        token = getToken(
+          context2,
+          3,
+          "}"
+          /* TokenChars.BraceRight */
+        );
+        context2.braceNest--;
+        context2.braceNest > 0 && skipSpaces(scnr);
+        if (context2.inLinked && context2.braceNest === 0) {
+          context2.inLinked = false;
+        }
+        return token;
+      case "@":
+        if (context2.braceNest > 0) {
+          emitError(CompileErrorCodes.UNTERMINATED_CLOSING_BRACE, currentPosition(), 0);
+        }
+        token = readTokenInLinked(scnr, context2) || getEndToken(context2);
+        context2.braceNest = 0;
+        return token;
+      default: {
+        let validNamedIdentifier = true;
+        let validListIdentifier = true;
+        let validLiteral = true;
+        if (isPluralStart(scnr)) {
+          if (context2.braceNest > 0) {
+            emitError(CompileErrorCodes.UNTERMINATED_CLOSING_BRACE, currentPosition(), 0);
+          }
+          token = getToken(context2, 1, readPlural(scnr));
+          context2.braceNest = 0;
+          context2.inLinked = false;
+          return token;
+        }
+        if (context2.braceNest > 0 && (context2.currentType === 5 || context2.currentType === 6 || context2.currentType === 7)) {
+          emitError(CompileErrorCodes.UNTERMINATED_CLOSING_BRACE, currentPosition(), 0);
+          context2.braceNest = 0;
+          return readToken(scnr, context2);
+        }
+        if (validNamedIdentifier = isNamedIdentifierStart(scnr, context2)) {
+          token = getToken(context2, 5, readNamedIdentifier(scnr));
+          skipSpaces(scnr);
+          return token;
+        }
+        if (validListIdentifier = isListIdentifierStart(scnr, context2)) {
+          token = getToken(context2, 6, readListIdentifier(scnr));
+          skipSpaces(scnr);
+          return token;
+        }
+        if (validLiteral = isLiteralStart(scnr, context2)) {
+          token = getToken(context2, 7, readLiteral(scnr));
+          skipSpaces(scnr);
+          return token;
+        }
+        if (!validNamedIdentifier && !validListIdentifier && !validLiteral) {
+          token = getToken(context2, 13, readInvalidIdentifier(scnr));
+          emitError(CompileErrorCodes.INVALID_TOKEN_IN_PLACEHOLDER, currentPosition(), 0, token.value);
+          skipSpaces(scnr);
+          return token;
+        }
+        break;
+      }
+    }
+    return token;
+  }
+  __name(readTokenInPlaceholder, "readTokenInPlaceholder");
+  function readTokenInLinked(scnr, context2) {
+    const { currentType } = context2;
+    let token = null;
+    const ch = scnr.currentChar();
+    if ((currentType === 8 || currentType === 9 || currentType === 12 || currentType === 10) && (ch === CHAR_LF || ch === CHAR_SP)) {
+      emitError(CompileErrorCodes.INVALID_LINKED_FORMAT, currentPosition(), 0);
+    }
+    switch (ch) {
+      case "@":
+        scnr.next();
+        token = getToken(
+          context2,
+          8,
+          "@"
+          /* TokenChars.LinkedAlias */
+        );
+        context2.inLinked = true;
+        return token;
+      case ".":
+        skipSpaces(scnr);
+        scnr.next();
+        return getToken(
+          context2,
+          9,
+          "."
+          /* TokenChars.LinkedDot */
+        );
+      case ":":
+        skipSpaces(scnr);
+        scnr.next();
+        return getToken(
+          context2,
+          10,
+          ":"
+          /* TokenChars.LinkedDelimiter */
+        );
+      default:
+        if (isPluralStart(scnr)) {
+          token = getToken(context2, 1, readPlural(scnr));
+          context2.braceNest = 0;
+          context2.inLinked = false;
+          return token;
+        }
+        if (isLinkedDotStart(scnr, context2) || isLinkedDelimiterStart(scnr, context2)) {
+          skipSpaces(scnr);
+          return readTokenInLinked(scnr, context2);
+        }
+        if (isLinkedModifierStart(scnr, context2)) {
+          skipSpaces(scnr);
+          return getToken(context2, 12, readLinkedModifier(scnr));
+        }
+        if (isLinkedReferStart(scnr, context2)) {
+          skipSpaces(scnr);
+          if (ch === "{") {
+            return readTokenInPlaceholder(scnr, context2) || token;
+          } else {
+            return getToken(context2, 11, readLinkedRefer(scnr));
+          }
+        }
+        if (currentType === 8) {
+          emitError(CompileErrorCodes.INVALID_LINKED_FORMAT, currentPosition(), 0);
+        }
+        context2.braceNest = 0;
+        context2.inLinked = false;
+        return readToken(scnr, context2);
+    }
+  }
+  __name(readTokenInLinked, "readTokenInLinked");
+  function readToken(scnr, context2) {
+    let token = {
+      type: 14
+      /* TokenTypes.EOF */
+    };
+    if (context2.braceNest > 0) {
+      return readTokenInPlaceholder(scnr, context2) || getEndToken(context2);
+    }
+    if (context2.inLinked) {
+      return readTokenInLinked(scnr, context2) || getEndToken(context2);
+    }
+    const ch = scnr.currentChar();
+    switch (ch) {
+      case "{":
+        return readTokenInPlaceholder(scnr, context2) || getEndToken(context2);
+      case "}":
+        emitError(CompileErrorCodes.UNBALANCED_CLOSING_BRACE, currentPosition(), 0);
+        scnr.next();
+        return getToken(
+          context2,
+          3,
+          "}"
+          /* TokenChars.BraceRight */
+        );
+      case "@":
+        return readTokenInLinked(scnr, context2) || getEndToken(context2);
+      default: {
+        if (isPluralStart(scnr)) {
+          token = getToken(context2, 1, readPlural(scnr));
+          context2.braceNest = 0;
+          context2.inLinked = false;
+          return token;
+        }
+        const { isModulo, hasSpace } = detectModuloStart(scnr);
+        if (isModulo) {
+          return hasSpace ? getToken(context2, 0, readText(scnr)) : getToken(context2, 4, readModulo(scnr));
+        }
+        if (isTextStart(scnr)) {
+          return getToken(context2, 0, readText(scnr));
+        }
+        break;
+      }
+    }
+    return token;
+  }
+  __name(readToken, "readToken");
+  function nextToken() {
+    const { currentType, offset, startLoc, endLoc } = _context;
+    _context.lastType = currentType;
+    _context.lastOffset = offset;
+    _context.lastStartLoc = startLoc;
+    _context.lastEndLoc = endLoc;
+    _context.offset = currentOffset();
+    _context.startLoc = currentPosition();
+    if (_scnr.currentChar() === EOF) {
+      return getToken(
+        _context,
+        14
+        /* TokenTypes.EOF */
+      );
+    }
+    return readToken(_scnr, _context);
+  }
+  __name(nextToken, "nextToken");
+  return {
+    nextToken,
+    currentOffset,
+    currentPosition,
+    context
+  };
+}
+__name(createTokenizer, "createTokenizer");
+const ERROR_DOMAIN$2 = "parser";
+const KNOWN_ESCAPES = /(?:\\\\|\\'|\\u([0-9a-fA-F]{4})|\\U([0-9a-fA-F]{6}))/g;
+function fromEscapeSequence(match, codePoint4, codePoint6) {
+  switch (match) {
+    case `\\\\`:
+      return `\\`;
+    case `\\'`:
+      return `'`;
+    default: {
+      const codePoint = parseInt(codePoint4 || codePoint6, 16);
+      if (codePoint <= 55295 || codePoint >= 57344) {
+        return String.fromCodePoint(codePoint);
+      }
+      return "�";
+    }
+  }
+}
+__name(fromEscapeSequence, "fromEscapeSequence");
+function createParser(options3 = {}) {
+  const location2 = options3.location !== false;
+  const { onError, onWarn } = options3;
+  function emitError(tokenzer, code2, start2, offset, ...args) {
+    const end = tokenzer.currentPosition();
+    end.offset += offset;
+    end.column += offset;
+    if (onError) {
+      const loc = location2 ? createLocation(start2, end) : null;
+      const err = createCompileError(code2, loc, {
+        domain: ERROR_DOMAIN$2,
+        args
+      });
+      onError(err);
+    }
+  }
+  __name(emitError, "emitError");
+  function emitWarn(tokenzer, code2, start2, offset, ...args) {
+    const end = tokenzer.currentPosition();
+    end.offset += offset;
+    end.column += offset;
+    if (onWarn) {
+      const loc = location2 ? createLocation(start2, end) : null;
+      onWarn(createCompileWarn(code2, loc, args));
+    }
+  }
+  __name(emitWarn, "emitWarn");
+  function startNode(type, offset, loc) {
+    const node3 = { type };
+    if (location2) {
+      node3.start = offset;
+      node3.end = offset;
+      node3.loc = { start: loc, end: loc };
+    }
+    return node3;
+  }
+  __name(startNode, "startNode");
+  function endNode(node3, offset, pos2, type) {
+    if (type) {
+      node3.type = type;
+    }
+    if (location2) {
+      node3.end = offset;
+      if (node3.loc) {
+        node3.loc.end = pos2;
+      }
+    }
+  }
+  __name(endNode, "endNode");
+  function parseText(tokenizer, value3) {
+    const context = tokenizer.context();
+    const node3 = startNode(3, context.offset, context.startLoc);
+    node3.value = value3;
+    endNode(node3, tokenizer.currentOffset(), tokenizer.currentPosition());
+    return node3;
+  }
+  __name(parseText, "parseText");
+  function parseList(tokenizer, index2) {
+    const context = tokenizer.context();
+    const { lastOffset: offset, lastStartLoc: loc } = context;
+    const node3 = startNode(5, offset, loc);
+    node3.index = parseInt(index2, 10);
+    tokenizer.nextToken();
+    endNode(node3, tokenizer.currentOffset(), tokenizer.currentPosition());
+    return node3;
+  }
+  __name(parseList, "parseList");
+  function parseNamed(tokenizer, key, modulo) {
+    const context = tokenizer.context();
+    const { lastOffset: offset, lastStartLoc: loc } = context;
+    const node3 = startNode(4, offset, loc);
+    node3.key = key;
+    if (modulo === true) {
+      node3.modulo = true;
+    }
+    tokenizer.nextToken();
+    endNode(node3, tokenizer.currentOffset(), tokenizer.currentPosition());
+    return node3;
+  }
+  __name(parseNamed, "parseNamed");
+  function parseLiteral(tokenizer, value3) {
+    const context = tokenizer.context();
+    const { lastOffset: offset, lastStartLoc: loc } = context;
+    const node3 = startNode(9, offset, loc);
+    node3.value = value3.replace(KNOWN_ESCAPES, fromEscapeSequence);
+    tokenizer.nextToken();
+    endNode(node3, tokenizer.currentOffset(), tokenizer.currentPosition());
+    return node3;
+  }
+  __name(parseLiteral, "parseLiteral");
+  function parseLinkedModifier(tokenizer) {
+    const token = tokenizer.nextToken();
+    const context = tokenizer.context();
+    const { lastOffset: offset, lastStartLoc: loc } = context;
+    const node3 = startNode(8, offset, loc);
+    if (token.type !== 12) {
+      emitError(tokenizer, CompileErrorCodes.UNEXPECTED_EMPTY_LINKED_MODIFIER, context.lastStartLoc, 0);
+      node3.value = "";
+      endNode(node3, offset, loc);
+      return {
+        nextConsumeToken: token,
+        node: node3
+      };
+    }
+    if (token.value == null) {
+      emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));
+    }
+    node3.value = token.value || "";
+    endNode(node3, tokenizer.currentOffset(), tokenizer.currentPosition());
+    return {
+      node: node3
+    };
+  }
+  __name(parseLinkedModifier, "parseLinkedModifier");
+  function parseLinkedKey(tokenizer, value3) {
+    const context = tokenizer.context();
+    const node3 = startNode(7, context.offset, context.startLoc);
+    node3.value = value3;
+    endNode(node3, tokenizer.currentOffset(), tokenizer.currentPosition());
+    return node3;
+  }
+  __name(parseLinkedKey, "parseLinkedKey");
+  function parseLinked(tokenizer) {
+    const context = tokenizer.context();
+    const linkedNode = startNode(6, context.offset, context.startLoc);
+    let token = tokenizer.nextToken();
+    if (token.type === 9) {
+      const parsed = parseLinkedModifier(tokenizer);
+      linkedNode.modifier = parsed.node;
+      token = parsed.nextConsumeToken || tokenizer.nextToken();
+    }
+    if (token.type !== 10) {
+      emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));
+    }
+    token = tokenizer.nextToken();
+    if (token.type === 2) {
+      token = tokenizer.nextToken();
+    }
+    switch (token.type) {
+      case 11:
+        if (token.value == null) {
+          emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));
+        }
+        linkedNode.key = parseLinkedKey(tokenizer, token.value || "");
+        break;
+      case 5:
+        if (token.value == null) {
+          emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));
+        }
+        linkedNode.key = parseNamed(tokenizer, token.value || "");
+        break;
+      case 6:
+        if (token.value == null) {
+          emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));
+        }
+        linkedNode.key = parseList(tokenizer, token.value || "");
+        break;
+      case 7:
+        if (token.value == null) {
+          emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));
+        }
+        linkedNode.key = parseLiteral(tokenizer, token.value || "");
+        break;
+      default: {
+        emitError(tokenizer, CompileErrorCodes.UNEXPECTED_EMPTY_LINKED_KEY, context.lastStartLoc, 0);
+        const nextContext = tokenizer.context();
+        const emptyLinkedKeyNode = startNode(7, nextContext.offset, nextContext.startLoc);
+        emptyLinkedKeyNode.value = "";
+        endNode(emptyLinkedKeyNode, nextContext.offset, nextContext.startLoc);
+        linkedNode.key = emptyLinkedKeyNode;
+        endNode(linkedNode, nextContext.offset, nextContext.startLoc);
+        return {
+          nextConsumeToken: token,
+          node: linkedNode
+        };
+      }
+    }
+    endNode(linkedNode, tokenizer.currentOffset(), tokenizer.currentPosition());
+    return {
+      node: linkedNode
+    };
+  }
+  __name(parseLinked, "parseLinked");
+  function parseMessage(tokenizer) {
+    const context = tokenizer.context();
+    const startOffset = context.currentType === 1 ? tokenizer.currentOffset() : context.offset;
+    const startLoc = context.currentType === 1 ? context.endLoc : context.startLoc;
+    const node3 = startNode(2, startOffset, startLoc);
+    node3.items = [];
+    let nextToken = null;
+    let modulo = null;
+    do {
+      const token = nextToken || tokenizer.nextToken();
+      nextToken = null;
+      switch (token.type) {
+        case 0:
+          if (token.value == null) {
+            emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));
+          }
+          node3.items.push(parseText(tokenizer, token.value || ""));
+          break;
+        case 6:
+          if (token.value == null) {
+            emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));
+          }
+          node3.items.push(parseList(tokenizer, token.value || ""));
+          break;
+        case 4:
+          modulo = true;
+          break;
+        case 5:
+          if (token.value == null) {
+            emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));
+          }
+          node3.items.push(parseNamed(tokenizer, token.value || "", !!modulo));
+          if (modulo) {
+            emitWarn(tokenizer, CompileWarnCodes.USE_MODULO_SYNTAX, context.lastStartLoc, 0, getTokenCaption(token));
+            modulo = null;
+          }
+          break;
+        case 7:
+          if (token.value == null) {
+            emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));
+          }
+          node3.items.push(parseLiteral(tokenizer, token.value || ""));
+          break;
+        case 8: {
+          const parsed = parseLinked(tokenizer);
+          node3.items.push(parsed.node);
+          nextToken = parsed.nextConsumeToken || null;
+          break;
+        }
+      }
+    } while (context.currentType !== 14 && context.currentType !== 1);
+    const endOffset = context.currentType === 1 ? context.lastOffset : tokenizer.currentOffset();
+    const endLoc = context.currentType === 1 ? context.lastEndLoc : tokenizer.currentPosition();
+    endNode(node3, endOffset, endLoc);
+    return node3;
+  }
+  __name(parseMessage, "parseMessage");
+  function parsePlural(tokenizer, offset, loc, msgNode) {
+    const context = tokenizer.context();
+    let hasEmptyMessage = msgNode.items.length === 0;
+    const node3 = startNode(1, offset, loc);
+    node3.cases = [];
+    node3.cases.push(msgNode);
+    do {
+      const msg = parseMessage(tokenizer);
+      if (!hasEmptyMessage) {
+        hasEmptyMessage = msg.items.length === 0;
+      }
+      node3.cases.push(msg);
+    } while (context.currentType !== 14);
+    if (hasEmptyMessage) {
+      emitError(tokenizer, CompileErrorCodes.MUST_HAVE_MESSAGES_IN_PLURAL, loc, 0);
+    }
+    endNode(node3, tokenizer.currentOffset(), tokenizer.currentPosition());
+    return node3;
+  }
+  __name(parsePlural, "parsePlural");
+  function parseResource(tokenizer) {
+    const context = tokenizer.context();
+    const { offset, startLoc } = context;
+    const msgNode = parseMessage(tokenizer);
+    if (context.currentType === 14) {
+      return msgNode;
+    } else {
+      return parsePlural(tokenizer, offset, startLoc, msgNode);
+    }
+  }
+  __name(parseResource, "parseResource");
+  function parse2(source) {
+    const tokenizer = createTokenizer(source, assign({}, options3));
+    const context = tokenizer.context();
+    const node3 = startNode(0, context.offset, context.startLoc);
+    if (location2 && node3.loc) {
+      node3.loc.source = source;
+    }
+    node3.body = parseResource(tokenizer);
+    if (options3.onCacheKey) {
+      node3.cacheKey = options3.onCacheKey(source);
+    }
+    if (context.currentType !== 14) {
+      emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, source[context.offset] || "");
+    }
+    endNode(node3, tokenizer.currentOffset(), tokenizer.currentPosition());
+    return node3;
+  }
+  __name(parse2, "parse");
+  return { parse: parse2 };
+}
+__name(createParser, "createParser");
+function getTokenCaption(token) {
+  if (token.type === 14) {
+    return "EOF";
+  }
+  const name = (token.value || "").replace(/\r?\n/gu, "\\n");
+  return name.length > 10 ? name.slice(0, 9) + "…" : name;
+}
+__name(getTokenCaption, "getTokenCaption");
+function createTransformer(ast, options3 = {}) {
+  const _context = {
+    ast,
+    helpers: /* @__PURE__ */ new Set()
+  };
+  const context = /* @__PURE__ */ __name(() => _context, "context");
+  const helper = /* @__PURE__ */ __name((name) => {
+    _context.helpers.add(name);
+    return name;
+  }, "helper");
+  return { context, helper };
+}
+__name(createTransformer, "createTransformer");
+function traverseNodes(nodes, transformer) {
+  for (let i2 = 0; i2 < nodes.length; i2++) {
+    traverseNode(nodes[i2], transformer);
+  }
+}
+__name(traverseNodes, "traverseNodes");
+function traverseNode(node3, transformer) {
+  switch (node3.type) {
+    case 1:
+      traverseNodes(node3.cases, transformer);
+      transformer.helper(
+        "plural"
+        /* HelperNameMap.PLURAL */
+      );
+      break;
+    case 2:
+      traverseNodes(node3.items, transformer);
+      break;
+    case 6: {
+      const linked = node3;
+      traverseNode(linked.key, transformer);
+      transformer.helper(
+        "linked"
+        /* HelperNameMap.LINKED */
+      );
+      transformer.helper(
+        "type"
+        /* HelperNameMap.TYPE */
+      );
+      break;
+    }
+    case 5:
+      transformer.helper(
+        "interpolate"
+        /* HelperNameMap.INTERPOLATE */
+      );
+      transformer.helper(
+        "list"
+        /* HelperNameMap.LIST */
+      );
+      break;
+    case 4:
+      transformer.helper(
+        "interpolate"
+        /* HelperNameMap.INTERPOLATE */
+      );
+      transformer.helper(
+        "named"
+        /* HelperNameMap.NAMED */
+      );
+      break;
+  }
+}
+__name(traverseNode, "traverseNode");
+function transform(ast, options3 = {}) {
+  const transformer = createTransformer(ast);
+  transformer.helper(
+    "normalize"
+    /* HelperNameMap.NORMALIZE */
+  );
+  ast.body && traverseNode(ast.body, transformer);
+  const context = transformer.context();
+  ast.helpers = Array.from(context.helpers);
+}
+__name(transform, "transform");
+function optimize(ast) {
+  const body = ast.body;
+  if (body.type === 2) {
+    optimizeMessageNode(body);
+  } else {
+    body.cases.forEach((c) => optimizeMessageNode(c));
+  }
+  return ast;
+}
+__name(optimize, "optimize");
+function optimizeMessageNode(message3) {
+  if (message3.items.length === 1) {
+    const item2 = message3.items[0];
+    if (item2.type === 3 || item2.type === 9) {
+      message3.static = item2.value;
+      delete item2.value;
+    }
+  } else {
+    const values2 = [];
+    for (let i2 = 0; i2 < message3.items.length; i2++) {
+      const item2 = message3.items[i2];
+      if (!(item2.type === 3 || item2.type === 9)) {
+        break;
+      }
+      if (item2.value == null) {
+        break;
+      }
+      values2.push(item2.value);
+    }
+    if (values2.length === message3.items.length) {
+      message3.static = join(values2);
+      for (let i2 = 0; i2 < message3.items.length; i2++) {
+        const item2 = message3.items[i2];
+        if (item2.type === 3 || item2.type === 9) {
+          delete item2.value;
+        }
+      }
+    }
+  }
+}
+__name(optimizeMessageNode, "optimizeMessageNode");
+const ERROR_DOMAIN$1 = "minifier";
+function minify(node3) {
+  node3.t = node3.type;
+  switch (node3.type) {
+    case 0: {
+      const resource = node3;
+      minify(resource.body);
+      resource.b = resource.body;
+      delete resource.body;
+      break;
+    }
+    case 1: {
+      const plural = node3;
+      const cases = plural.cases;
+      for (let i2 = 0; i2 < cases.length; i2++) {
+        minify(cases[i2]);
+      }
+      plural.c = cases;
+      delete plural.cases;
+      break;
+    }
+    case 2: {
+      const message3 = node3;
+      const items2 = message3.items;
+      for (let i2 = 0; i2 < items2.length; i2++) {
+        minify(items2[i2]);
+      }
+      message3.i = items2;
+      delete message3.items;
+      if (message3.static) {
+        message3.s = message3.static;
+        delete message3.static;
+      }
+      break;
+    }
+    case 3:
+    case 9:
+    case 8:
+    case 7: {
+      const valueNode = node3;
+      if (valueNode.value) {
+        valueNode.v = valueNode.value;
+        delete valueNode.value;
+      }
+      break;
+    }
+    case 6: {
+      const linked = node3;
+      minify(linked.key);
+      linked.k = linked.key;
+      delete linked.key;
+      if (linked.modifier) {
+        minify(linked.modifier);
+        linked.m = linked.modifier;
+        delete linked.modifier;
+      }
+      break;
+    }
+    case 5: {
+      const list = node3;
+      list.i = list.index;
+      delete list.index;
+      break;
+    }
+    case 4: {
+      const named = node3;
+      named.k = named.key;
+      delete named.key;
+      break;
+    }
+    default: {
+      throw createCompileError(CompileErrorCodes.UNHANDLED_MINIFIER_NODE_TYPE, null, {
+        domain: ERROR_DOMAIN$1,
+        args: [node3.type]
+      });
+    }
+  }
+  delete node3.type;
+}
+__name(minify, "minify");
+const ERROR_DOMAIN = "parser";
+function createCodeGenerator(ast, options3) {
+  const { sourceMap, filename, breakLineCode, needIndent: _needIndent } = options3;
+  const location2 = options3.location !== false;
+  const _context = {
+    filename,
+    code: "",
+    column: 1,
+    line: 1,
+    offset: 0,
+    map: void 0,
+    breakLineCode,
+    needIndent: _needIndent,
+    indentLevel: 0
+  };
+  if (location2 && ast.loc) {
+    _context.source = ast.loc.source;
+  }
+  const context = /* @__PURE__ */ __name(() => _context, "context");
+  function push(code2, node3) {
+    _context.code += code2;
+  }
+  __name(push, "push");
+  function _newline(n, withBreakLine = true) {
+    const _breakLineCode = withBreakLine ? breakLineCode : "";
+    push(_needIndent ? _breakLineCode + `  `.repeat(n) : _breakLineCode);
+  }
+  __name(_newline, "_newline");
+  function indent(withNewLine = true) {
+    const level = ++_context.indentLevel;
+    withNewLine && _newline(level);
+  }
+  __name(indent, "indent");
+  function deindent(withNewLine = true) {
+    const level = --_context.indentLevel;
+    withNewLine && _newline(level);
+  }
+  __name(deindent, "deindent");
+  function newline() {
+    _newline(_context.indentLevel);
+  }
+  __name(newline, "newline");
+  const helper = /* @__PURE__ */ __name((key) => `_${key}`, "helper");
+  const needIndent = /* @__PURE__ */ __name(() => _context.needIndent, "needIndent");
+  return {
+    context,
+    push,
+    indent,
+    deindent,
+    newline,
+    helper,
+    needIndent
+  };
+}
+__name(createCodeGenerator, "createCodeGenerator");
+function generateLinkedNode(generator, node3) {
+  const { helper } = generator;
+  generator.push(`${helper(
+    "linked"
+    /* HelperNameMap.LINKED */
+  )}(`);
+  generateNode(generator, node3.key);
+  if (node3.modifier) {
+    generator.push(`, `);
+    generateNode(generator, node3.modifier);
+    generator.push(`, _type`);
+  } else {
+    generator.push(`, undefined, _type`);
+  }
+  generator.push(`)`);
+}
+__name(generateLinkedNode, "generateLinkedNode");
+function generateMessageNode(generator, node3) {
+  const { helper, needIndent } = generator;
+  generator.push(`${helper(
+    "normalize"
+    /* HelperNameMap.NORMALIZE */
+  )}([`);
+  generator.indent(needIndent());
+  const length = node3.items.length;
+  for (let i2 = 0; i2 < length; i2++) {
+    generateNode(generator, node3.items[i2]);
+    if (i2 === length - 1) {
+      break;
+    }
+    generator.push(", ");
+  }
+  generator.deindent(needIndent());
+  generator.push("])");
+}
+__name(generateMessageNode, "generateMessageNode");
+function generatePluralNode(generator, node3) {
+  const { helper, needIndent } = generator;
+  if (node3.cases.length > 1) {
+    generator.push(`${helper(
+      "plural"
+      /* HelperNameMap.PLURAL */
+    )}([`);
+    generator.indent(needIndent());
+    const length = node3.cases.length;
+    for (let i2 = 0; i2 < length; i2++) {
+      generateNode(generator, node3.cases[i2]);
+      if (i2 === length - 1) {
+        break;
+      }
+      generator.push(", ");
+    }
+    generator.deindent(needIndent());
+    generator.push(`])`);
+  }
+}
+__name(generatePluralNode, "generatePluralNode");
+function generateResource(generator, node3) {
+  if (node3.body) {
+    generateNode(generator, node3.body);
+  } else {
+    generator.push("null");
+  }
+}
+__name(generateResource, "generateResource");
+function generateNode(generator, node3) {
+  const { helper } = generator;
+  switch (node3.type) {
+    case 0:
+      generateResource(generator, node3);
+      break;
+    case 1:
+      generatePluralNode(generator, node3);
+      break;
+    case 2:
+      generateMessageNode(generator, node3);
+      break;
+    case 6:
+      generateLinkedNode(generator, node3);
+      break;
+    case 8:
+      generator.push(JSON.stringify(node3.value), node3);
+      break;
+    case 7:
+      generator.push(JSON.stringify(node3.value), node3);
+      break;
+    case 5:
+      generator.push(`${helper(
+        "interpolate"
+        /* HelperNameMap.INTERPOLATE */
+      )}(${helper(
+        "list"
+        /* HelperNameMap.LIST */
+      )}(${node3.index}))`, node3);
+      break;
+    case 4:
+      generator.push(`${helper(
+        "interpolate"
+        /* HelperNameMap.INTERPOLATE */
+      )}(${helper(
+        "named"
+        /* HelperNameMap.NAMED */
+      )}(${JSON.stringify(node3.key)}))`, node3);
+      break;
+    case 9:
+      generator.push(JSON.stringify(node3.value), node3);
+      break;
+    case 3:
+      generator.push(JSON.stringify(node3.value), node3);
+      break;
+    default: {
+      throw createCompileError(CompileErrorCodes.UNHANDLED_CODEGEN_NODE_TYPE, null, {
+        domain: ERROR_DOMAIN,
+        args: [node3.type]
+      });
+    }
+  }
+}
+__name(generateNode, "generateNode");
+const generate = /* @__PURE__ */ __name((ast, options3 = {}) => {
+  const mode2 = isString$1(options3.mode) ? options3.mode : "normal";
+  const filename = isString$1(options3.filename) ? options3.filename : "message.intl";
+  const sourceMap = !!options3.sourceMap;
+  const breakLineCode = options3.breakLineCode != null ? options3.breakLineCode : mode2 === "arrow" ? ";" : "\n";
+  const needIndent = options3.needIndent ? options3.needIndent : mode2 !== "arrow";
+  const helpers = ast.helpers || [];
+  const generator = createCodeGenerator(ast, {
+    mode: mode2,
+    filename,
+    sourceMap,
+    breakLineCode,
+    needIndent
+  });
+  generator.push(mode2 === "normal" ? `function __msg__ (ctx) {` : `(ctx) => {`);
+  generator.indent(needIndent);
+  if (helpers.length > 0) {
+    generator.push(`const { ${join(helpers.map((s) => `${s}: _${s}`), ", ")} } = ctx`);
+    generator.newline();
+  }
+  generator.push(`return `);
+  generateNode(generator, ast);
+  generator.deindent(needIndent);
+  generator.push(`}`);
+  delete ast.helpers;
+  const { code: code2, map: map2 } = generator.context();
+  return {
+    ast,
+    code: code2,
+    map: map2 ? map2.toJSON() : void 0
+    // eslint-disable-line @typescript-eslint/no-explicit-any
+  };
+}, "generate");
+function baseCompile$1(source, options3 = {}) {
+  const assignedOptions = assign({}, options3);
+  const jit = !!assignedOptions.jit;
+  const enalbeMinify = !!assignedOptions.minify;
+  const enambeOptimize = assignedOptions.optimize == null ? true : assignedOptions.optimize;
+  const parser = createParser(assignedOptions);
+  const ast = parser.parse(source);
+  if (!jit) {
+    transform(ast, assignedOptions);
+    return generate(ast, assignedOptions);
+  } else {
+    enambeOptimize && optimize(ast);
+    enalbeMinify && minify(ast);
+    return { ast, code: "" };
+  }
+}
+__name(baseCompile$1, "baseCompile$1");
+/*!
+  * core-base v9.13.1
+  * (c) 2024 kazuya kawaguchi
+  * Released under the MIT License.
+  */
+function initFeatureFlags$1() {
+  if (typeof __INTLIFY_PROD_DEVTOOLS__ !== "boolean") {
+    getGlobalThis().__INTLIFY_PROD_DEVTOOLS__ = false;
+  }
+  if (typeof __INTLIFY_JIT_COMPILATION__ !== "boolean") {
+    getGlobalThis().__INTLIFY_JIT_COMPILATION__ = false;
+  }
+  if (typeof __INTLIFY_DROP_MESSAGE_COMPILER__ !== "boolean") {
+    getGlobalThis().__INTLIFY_DROP_MESSAGE_COMPILER__ = false;
+  }
+}
+__name(initFeatureFlags$1, "initFeatureFlags$1");
+const pathStateMachine = [];
+pathStateMachine[
+  0
+  /* States.BEFORE_PATH */
+] = {
+  [
+    "w"
+    /* PathCharTypes.WORKSPACE */
+  ]: [
+    0
+    /* States.BEFORE_PATH */
+  ],
+  [
+    "i"
+    /* PathCharTypes.IDENT */
+  ]: [
+    3,
+    0
+    /* Actions.APPEND */
+  ],
+  [
+    "["
+    /* PathCharTypes.LEFT_BRACKET */
+  ]: [
+    4
+    /* States.IN_SUB_PATH */
+  ],
+  [
+    "o"
+    /* PathCharTypes.END_OF_FAIL */
+  ]: [
+    7
+    /* States.AFTER_PATH */
+  ]
+};
+pathStateMachine[
+  1
+  /* States.IN_PATH */
+] = {
+  [
+    "w"
+    /* PathCharTypes.WORKSPACE */
+  ]: [
+    1
+    /* States.IN_PATH */
+  ],
+  [
+    "."
+    /* PathCharTypes.DOT */
+  ]: [
+    2
+    /* States.BEFORE_IDENT */
+  ],
+  [
+    "["
+    /* PathCharTypes.LEFT_BRACKET */
+  ]: [
+    4
+    /* States.IN_SUB_PATH */
+  ],
+  [
+    "o"
+    /* PathCharTypes.END_OF_FAIL */
+  ]: [
+    7
+    /* States.AFTER_PATH */
+  ]
+};
+pathStateMachine[
+  2
+  /* States.BEFORE_IDENT */
+] = {
+  [
+    "w"
+    /* PathCharTypes.WORKSPACE */
+  ]: [
+    2
+    /* States.BEFORE_IDENT */
+  ],
+  [
+    "i"
+    /* PathCharTypes.IDENT */
+  ]: [
+    3,
+    0
+    /* Actions.APPEND */
+  ],
+  [
+    "0"
+    /* PathCharTypes.ZERO */
+  ]: [
+    3,
+    0
+    /* Actions.APPEND */
+  ]
+};
+pathStateMachine[
+  3
+  /* States.IN_IDENT */
+] = {
+  [
+    "i"
+    /* PathCharTypes.IDENT */
+  ]: [
+    3,
+    0
+    /* Actions.APPEND */
+  ],
+  [
+    "0"
+    /* PathCharTypes.ZERO */
+  ]: [
+    3,
+    0
+    /* Actions.APPEND */
+  ],
+  [
+    "w"
+    /* PathCharTypes.WORKSPACE */
+  ]: [
+    1,
+    1
+    /* Actions.PUSH */
+  ],
+  [
+    "."
+    /* PathCharTypes.DOT */
+  ]: [
+    2,
+    1
+    /* Actions.PUSH */
+  ],
+  [
+    "["
+    /* PathCharTypes.LEFT_BRACKET */
+  ]: [
+    4,
+    1
+    /* Actions.PUSH */
+  ],
+  [
+    "o"
+    /* PathCharTypes.END_OF_FAIL */
+  ]: [
+    7,
+    1
+    /* Actions.PUSH */
+  ]
+};
+pathStateMachine[
+  4
+  /* States.IN_SUB_PATH */
+] = {
+  [
+    "'"
+    /* PathCharTypes.SINGLE_QUOTE */
+  ]: [
+    5,
+    0
+    /* Actions.APPEND */
+  ],
+  [
+    '"'
+    /* PathCharTypes.DOUBLE_QUOTE */
+  ]: [
+    6,
+    0
+    /* Actions.APPEND */
+  ],
+  [
+    "["
+    /* PathCharTypes.LEFT_BRACKET */
+  ]: [
+    4,
+    2
+    /* Actions.INC_SUB_PATH_DEPTH */
+  ],
+  [
+    "]"
+    /* PathCharTypes.RIGHT_BRACKET */
+  ]: [
+    1,
+    3
+    /* Actions.PUSH_SUB_PATH */
+  ],
+  [
+    "o"
+    /* PathCharTypes.END_OF_FAIL */
+  ]: 8,
+  [
+    "l"
+    /* PathCharTypes.ELSE */
+  ]: [
+    4,
+    0
+    /* Actions.APPEND */
+  ]
+};
+pathStateMachine[
+  5
+  /* States.IN_SINGLE_QUOTE */
+] = {
+  [
+    "'"
+    /* PathCharTypes.SINGLE_QUOTE */
+  ]: [
+    4,
+    0
+    /* Actions.APPEND */
+  ],
+  [
+    "o"
+    /* PathCharTypes.END_OF_FAIL */
+  ]: 8,
+  [
+    "l"
+    /* PathCharTypes.ELSE */
+  ]: [
+    5,
+    0
+    /* Actions.APPEND */
+  ]
+};
+pathStateMachine[
+  6
+  /* States.IN_DOUBLE_QUOTE */
+] = {
+  [
+    '"'
+    /* PathCharTypes.DOUBLE_QUOTE */
+  ]: [
+    4,
+    0
+    /* Actions.APPEND */
+  ],
+  [
+    "o"
+    /* PathCharTypes.END_OF_FAIL */
+  ]: 8,
+  [
+    "l"
+    /* PathCharTypes.ELSE */
+  ]: [
+    6,
+    0
+    /* Actions.APPEND */
+  ]
+};
+const literalValueRE = /^\s?(?:true|false|-?[\d.]+|'[^']*'|"[^"]*")\s?$/;
+function isLiteral(exp) {
+  return literalValueRE.test(exp);
+}
+__name(isLiteral, "isLiteral");
+function stripQuotes(str) {
+  const a = str.charCodeAt(0);
+  const b = str.charCodeAt(str.length - 1);
+  return a === b && (a === 34 || a === 39) ? str.slice(1, -1) : str;
+}
+__name(stripQuotes, "stripQuotes");
+function getPathCharType(ch) {
+  if (ch === void 0 || ch === null) {
+    return "o";
+  }
+  const code2 = ch.charCodeAt(0);
+  switch (code2) {
+    case 91:
+    case 93:
+    case 46:
+    case 34:
+    case 39:
+      return ch;
+    case 95:
+    case 36:
+    case 45:
+      return "i";
+    case 9:
+    case 10:
+    case 13:
+    case 160:
+    case 65279:
+    case 8232:
+    case 8233:
+      return "w";
+  }
+  return "i";
+}
+__name(getPathCharType, "getPathCharType");
+function formatSubPath(path) {
+  const trimmed = path.trim();
+  if (path.charAt(0) === "0" && isNaN(parseInt(path))) {
+    return false;
+  }
+  return isLiteral(trimmed) ? stripQuotes(trimmed) : "*" + trimmed;
+}
+__name(formatSubPath, "formatSubPath");
+function parse$1(path) {
+  const keys2 = [];
+  let index2 = -1;
+  let mode2 = 0;
+  let subPathDepth = 0;
+  let c;
+  let key;
+  let newChar;
+  let type;
+  let transition;
+  let action;
+  let typeMap;
+  const actions = [];
+  actions[
+    0
+    /* Actions.APPEND */
+  ] = () => {
+    if (key === void 0) {
+      key = newChar;
+    } else {
+      key += newChar;
+    }
+  };
+  actions[
+    1
+    /* Actions.PUSH */
+  ] = () => {
+    if (key !== void 0) {
+      keys2.push(key);
+      key = void 0;
+    }
+  };
+  actions[
+    2
+    /* Actions.INC_SUB_PATH_DEPTH */
+  ] = () => {
+    actions[
+      0
+      /* Actions.APPEND */
+    ]();
+    subPathDepth++;
+  };
+  actions[
+    3
+    /* Actions.PUSH_SUB_PATH */
+  ] = () => {
+    if (subPathDepth > 0) {
+      subPathDepth--;
+      mode2 = 4;
+      actions[
+        0
+        /* Actions.APPEND */
+      ]();
+    } else {
+      subPathDepth = 0;
+      if (key === void 0) {
+        return false;
+      }
+      key = formatSubPath(key);
+      if (key === false) {
+        return false;
+      } else {
+        actions[
+          1
+          /* Actions.PUSH */
+        ]();
+      }
+    }
+  };
+  function maybeUnescapeQuote() {
+    const nextChar = path[index2 + 1];
+    if (mode2 === 5 && nextChar === "'" || mode2 === 6 && nextChar === '"') {
+      index2++;
+      newChar = "\\" + nextChar;
+      actions[
+        0
+        /* Actions.APPEND */
+      ]();
+      return true;
+    }
+  }
+  __name(maybeUnescapeQuote, "maybeUnescapeQuote");
+  while (mode2 !== null) {
+    index2++;
+    c = path[index2];
+    if (c === "\\" && maybeUnescapeQuote()) {
+      continue;
+    }
+    type = getPathCharType(c);
+    typeMap = pathStateMachine[mode2];
+    transition = typeMap[type] || typeMap[
+      "l"
+      /* PathCharTypes.ELSE */
+    ] || 8;
+    if (transition === 8) {
+      return;
+    }
+    mode2 = transition[0];
+    if (transition[1] !== void 0) {
+      action = actions[transition[1]];
+      if (action) {
+        newChar = c;
+        if (action() === false) {
+          return;
+        }
+      }
+    }
+    if (mode2 === 7) {
+      return keys2;
+    }
+  }
+}
+__name(parse$1, "parse$1");
+const cache = /* @__PURE__ */ new Map();
+function resolveWithKeyValue(obj, path) {
+  return isObject$2(obj) ? obj[path] : null;
+}
+__name(resolveWithKeyValue, "resolveWithKeyValue");
+function resolveValue(obj, path) {
+  if (!isObject$2(obj)) {
+    return null;
+  }
+  let hit = cache.get(path);
+  if (!hit) {
+    hit = parse$1(path);
+    if (hit) {
+      cache.set(path, hit);
+    }
+  }
+  if (!hit) {
+    return null;
+  }
+  const len = hit.length;
+  let last = obj;
+  let i2 = 0;
+  while (i2 < len) {
+    const val = last[hit[i2]];
+    if (val === void 0) {
+      return null;
+    }
+    if (isFunction$1(last)) {
+      return null;
+    }
+    last = val;
+    i2++;
+  }
+  return last;
+}
+__name(resolveValue, "resolveValue");
+const DEFAULT_MODIFIER = /* @__PURE__ */ __name((str) => str, "DEFAULT_MODIFIER");
+const DEFAULT_MESSAGE = /* @__PURE__ */ __name((ctx) => "", "DEFAULT_MESSAGE");
+const DEFAULT_MESSAGE_DATA_TYPE = "text";
+const DEFAULT_NORMALIZE = /* @__PURE__ */ __name((values2) => values2.length === 0 ? "" : join$1(values2), "DEFAULT_NORMALIZE");
+const DEFAULT_INTERPOLATE = toDisplayString;
+function pluralDefault(choice, choicesLength) {
+  choice = Math.abs(choice);
+  if (choicesLength === 2) {
+    return choice ? choice > 1 ? 1 : 0 : 1;
+  }
+  return choice ? Math.min(choice, 2) : 0;
+}
+__name(pluralDefault, "pluralDefault");
+function getPluralIndex(options3) {
+  const index2 = isNumber$1(options3.pluralIndex) ? options3.pluralIndex : -1;
+  return options3.named && (isNumber$1(options3.named.count) || isNumber$1(options3.named.n)) ? isNumber$1(options3.named.count) ? options3.named.count : isNumber$1(options3.named.n) ? options3.named.n : index2 : index2;
+}
+__name(getPluralIndex, "getPluralIndex");
+function normalizeNamed(pluralIndex, props) {
+  if (!props.count) {
+    props.count = pluralIndex;
+  }
+  if (!props.n) {
+    props.n = pluralIndex;
+  }
+}
+__name(normalizeNamed, "normalizeNamed");
+function createMessageContext(options3 = {}) {
+  const locale2 = options3.locale;
+  const pluralIndex = getPluralIndex(options3);
+  const pluralRule = isObject$2(options3.pluralRules) && isString$2(locale2) && isFunction$1(options3.pluralRules[locale2]) ? options3.pluralRules[locale2] : pluralDefault;
+  const orgPluralRule = isObject$2(options3.pluralRules) && isString$2(locale2) && isFunction$1(options3.pluralRules[locale2]) ? pluralDefault : void 0;
+  const plural = /* @__PURE__ */ __name((messages2) => {
+    return messages2[pluralRule(pluralIndex, messages2.length, orgPluralRule)];
+  }, "plural");
+  const _list = options3.list || [];
+  const list = /* @__PURE__ */ __name((index2) => _list[index2], "list");
+  const _named = options3.named || {};
+  isNumber$1(options3.pluralIndex) && normalizeNamed(pluralIndex, _named);
+  const named = /* @__PURE__ */ __name((key) => _named[key], "named");
+  function message3(key) {
+    const msg = isFunction$1(options3.messages) ? options3.messages(key) : isObject$2(options3.messages) ? options3.messages[key] : false;
+    return !msg ? options3.parent ? options3.parent.message(key) : DEFAULT_MESSAGE : msg;
+  }
+  __name(message3, "message");
+  const _modifier = /* @__PURE__ */ __name((name) => options3.modifiers ? options3.modifiers[name] : DEFAULT_MODIFIER, "_modifier");
+  const normalize = isPlainObject(options3.processor) && isFunction$1(options3.processor.normalize) ? options3.processor.normalize : DEFAULT_NORMALIZE;
+  const interpolate = isPlainObject(options3.processor) && isFunction$1(options3.processor.interpolate) ? options3.processor.interpolate : DEFAULT_INTERPOLATE;
+  const type = isPlainObject(options3.processor) && isString$2(options3.processor.type) ? options3.processor.type : DEFAULT_MESSAGE_DATA_TYPE;
+  const linked = /* @__PURE__ */ __name((key, ...args) => {
+    const [arg1, arg2] = args;
+    let type2 = "text";
+    let modifier = "";
+    if (args.length === 1) {
+      if (isObject$2(arg1)) {
+        modifier = arg1.modifier || modifier;
+        type2 = arg1.type || type2;
+      } else if (isString$2(arg1)) {
+        modifier = arg1 || modifier;
+      }
+    } else if (args.length === 2) {
+      if (isString$2(arg1)) {
+        modifier = arg1 || modifier;
+      }
+      if (isString$2(arg2)) {
+        type2 = arg2 || type2;
+      }
+    }
+    const ret = message3(key)(ctx);
+    const msg = (
+      // The message in vnode resolved with linked are returned as an array by processor.nomalize
+      type2 === "vnode" && isArray$1(ret) && modifier ? ret[0] : ret
+    );
+    return modifier ? _modifier(modifier)(msg, type2) : msg;
+  }, "linked");
+  const ctx = {
+    [
+      "list"
+      /* HelperNameMap.LIST */
+    ]: list,
+    [
+      "named"
+      /* HelperNameMap.NAMED */
+    ]: named,
+    [
+      "plural"
+      /* HelperNameMap.PLURAL */
+    ]: plural,
+    [
+      "linked"
+      /* HelperNameMap.LINKED */
+    ]: linked,
+    [
+      "message"
+      /* HelperNameMap.MESSAGE */
+    ]: message3,
+    [
+      "type"
+      /* HelperNameMap.TYPE */
+    ]: type,
+    [
+      "interpolate"
+      /* HelperNameMap.INTERPOLATE */
+    ]: interpolate,
+    [
+      "normalize"
+      /* HelperNameMap.NORMALIZE */
+    ]: normalize,
+    [
+      "values"
+      /* HelperNameMap.VALUES */
+    ]: assign$1({}, _list, _named)
+  };
+  return ctx;
+}
+__name(createMessageContext, "createMessageContext");
+let devtools = null;
+function setDevToolsHook(hook) {
+  devtools = hook;
+}
+__name(setDevToolsHook, "setDevToolsHook");
+function getDevToolsHook() {
+  return devtools;
+}
+__name(getDevToolsHook, "getDevToolsHook");
+function initI18nDevTools(i18n2, version2, meta) {
+  devtools && devtools.emit("i18n:init", {
+    timestamp: Date.now(),
+    i18n: i18n2,
+    version: version2,
+    meta
+  });
+}
+__name(initI18nDevTools, "initI18nDevTools");
+const translateDevTools = /* @__PURE__ */ createDevToolsHook(
+  "function:translate"
+  /* IntlifyDevToolsHooks.FunctionTranslate */
+);
+function createDevToolsHook(hook) {
+  return (payloads) => devtools && devtools.emit(hook, payloads);
+}
+__name(createDevToolsHook, "createDevToolsHook");
+const code$1$1 = CompileWarnCodes.__EXTEND_POINT__;
+const inc$1$1 = incrementer(code$1$1);
+const CoreWarnCodes = {
+  NOT_FOUND_KEY: code$1$1,
+  // 2
+  FALLBACK_TO_TRANSLATE: inc$1$1(),
+  // 3
+  CANNOT_FORMAT_NUMBER: inc$1$1(),
+  // 4
+  FALLBACK_TO_NUMBER_FORMAT: inc$1$1(),
+  // 5
+  CANNOT_FORMAT_DATE: inc$1$1(),
+  // 6
+  FALLBACK_TO_DATE_FORMAT: inc$1$1(),
+  // 7
+  EXPERIMENTAL_CUSTOM_MESSAGE_COMPILER: inc$1$1(),
+  // 8
+  __EXTEND_POINT__: inc$1$1()
+  // 9
+};
+const warnMessages$1 = {
+  [CoreWarnCodes.NOT_FOUND_KEY]: `Not found '{key}' key in '{locale}' locale messages.`,
+  [CoreWarnCodes.FALLBACK_TO_TRANSLATE]: `Fall back to translate '{key}' key with '{target}' locale.`,
+  [CoreWarnCodes.CANNOT_FORMAT_NUMBER]: `Cannot format a number value due to not supported Intl.NumberFormat.`,
+  [CoreWarnCodes.FALLBACK_TO_NUMBER_FORMAT]: `Fall back to number format '{key}' key with '{target}' locale.`,
+  [CoreWarnCodes.CANNOT_FORMAT_DATE]: `Cannot format a date value due to not supported Intl.DateTimeFormat.`,
+  [CoreWarnCodes.FALLBACK_TO_DATE_FORMAT]: `Fall back to datetime format '{key}' key with '{target}' locale.`,
+  [CoreWarnCodes.EXPERIMENTAL_CUSTOM_MESSAGE_COMPILER]: `This project is using Custom Message Compiler, which is an experimental feature. It may receive breaking changes or be removed in the future.`
+};
+function getWarnMessage$1(code2, ...args) {
+  return format$4(warnMessages$1[code2], ...args);
+}
+__name(getWarnMessage$1, "getWarnMessage$1");
+const code$2 = CompileErrorCodes.__EXTEND_POINT__;
+const inc$2 = incrementer(code$2);
+const CoreErrorCodes = {
+  INVALID_ARGUMENT: code$2,
+  // 17
+  INVALID_DATE_ARGUMENT: inc$2(),
+  // 18
+  INVALID_ISO_DATE_ARGUMENT: inc$2(),
+  // 19
+  NOT_SUPPORT_NON_STRING_MESSAGE: inc$2(),
+  // 20
+  NOT_SUPPORT_LOCALE_PROMISE_VALUE: inc$2(),
+  // 21
+  NOT_SUPPORT_LOCALE_ASYNC_FUNCTION: inc$2(),
+  // 22
+  NOT_SUPPORT_LOCALE_TYPE: inc$2(),
+  // 23
+  __EXTEND_POINT__: inc$2()
+  // 24
+};
+function createCoreError(code2) {
+  return createCompileError(code2, null, false ? { messages: errorMessages$1 } : void 0);
+}
+__name(createCoreError, "createCoreError");
+const errorMessages$1 = {
+  [CoreErrorCodes.INVALID_ARGUMENT]: "Invalid arguments",
+  [CoreErrorCodes.INVALID_DATE_ARGUMENT]: "The date provided is an invalid Date object.Make sure your Date represents a valid date.",
+  [CoreErrorCodes.INVALID_ISO_DATE_ARGUMENT]: "The argument provided is not a valid ISO date string",
+  [CoreErrorCodes.NOT_SUPPORT_NON_STRING_MESSAGE]: "Not support non-string message",
+  [CoreErrorCodes.NOT_SUPPORT_LOCALE_PROMISE_VALUE]: "cannot support promise value",
+  [CoreErrorCodes.NOT_SUPPORT_LOCALE_ASYNC_FUNCTION]: "cannot support async function",
+  [CoreErrorCodes.NOT_SUPPORT_LOCALE_TYPE]: "cannot support locale type"
+};
+function getLocale(context, options3) {
+  return options3.locale != null ? resolveLocale(options3.locale) : resolveLocale(context.locale);
+}
+__name(getLocale, "getLocale");
+let _resolveLocale;
+function resolveLocale(locale2) {
+  if (isString$2(locale2)) {
+    return locale2;
+  } else {
+    if (isFunction$1(locale2)) {
+      if (locale2.resolvedOnce && _resolveLocale != null) {
+        return _resolveLocale;
+      } else if (locale2.constructor.name === "Function") {
+        const resolve8 = locale2();
+        if (isPromise$1(resolve8)) {
+          throw createCoreError(CoreErrorCodes.NOT_SUPPORT_LOCALE_PROMISE_VALUE);
+        }
+        return _resolveLocale = resolve8;
+      } else {
+        throw createCoreError(CoreErrorCodes.NOT_SUPPORT_LOCALE_ASYNC_FUNCTION);
+      }
+    } else {
+      throw createCoreError(CoreErrorCodes.NOT_SUPPORT_LOCALE_TYPE);
+    }
+  }
+}
+__name(resolveLocale, "resolveLocale");
+function fallbackWithSimple(ctx, fallback, start2) {
+  return [.../* @__PURE__ */ new Set([
+    start2,
+    ...isArray$1(fallback) ? fallback : isObject$2(fallback) ? Object.keys(fallback) : isString$2(fallback) ? [fallback] : [start2]
+  ])];
+}
+__name(fallbackWithSimple, "fallbackWithSimple");
+function fallbackWithLocaleChain(ctx, fallback, start2) {
+  const startLocale = isString$2(start2) ? start2 : DEFAULT_LOCALE;
+  const context = ctx;
+  if (!context.__localeChainCache) {
+    context.__localeChainCache = /* @__PURE__ */ new Map();
+  }
+  let chain = context.__localeChainCache.get(startLocale);
+  if (!chain) {
+    chain = [];
+    let block2 = [start2];
+    while (isArray$1(block2)) {
+      block2 = appendBlockToChain(chain, block2, fallback);
+    }
+    const defaults2 = isArray$1(fallback) || !isPlainObject(fallback) ? fallback : fallback["default"] ? fallback["default"] : null;
+    block2 = isString$2(defaults2) ? [defaults2] : defaults2;
+    if (isArray$1(block2)) {
+      appendBlockToChain(chain, block2, false);
+    }
+    context.__localeChainCache.set(startLocale, chain);
+  }
+  return chain;
+}
+__name(fallbackWithLocaleChain, "fallbackWithLocaleChain");
+function appendBlockToChain(chain, block2, blocks) {
+  let follow = true;
+  for (let i2 = 0; i2 < block2.length && isBoolean$1(follow); i2++) {
+    const locale2 = block2[i2];
+    if (isString$2(locale2)) {
+      follow = appendLocaleToChain(chain, block2[i2], blocks);
+    }
+  }
+  return follow;
+}
+__name(appendBlockToChain, "appendBlockToChain");
+function appendLocaleToChain(chain, locale2, blocks) {
+  let follow;
+  const tokens = locale2.split("-");
+  do {
+    const target = tokens.join("-");
+    follow = appendItemToChain(chain, target, blocks);
+    tokens.splice(-1, 1);
+  } while (tokens.length && follow === true);
+  return follow;
+}
+__name(appendLocaleToChain, "appendLocaleToChain");
+function appendItemToChain(chain, target, blocks) {
+  let follow = false;
+  if (!chain.includes(target)) {
+    follow = true;
+    if (target) {
+      follow = target[target.length - 1] !== "!";
+      const locale2 = target.replace(/!/g, "");
+      chain.push(locale2);
+      if ((isArray$1(blocks) || isPlainObject(blocks)) && blocks[locale2]) {
+        follow = blocks[locale2];
+      }
+    }
+  }
+  return follow;
+}
+__name(appendItemToChain, "appendItemToChain");
+const VERSION$1 = "9.13.1";
+const NOT_REOSLVED = -1;
+const DEFAULT_LOCALE = "en-US";
+const MISSING_RESOLVE_VALUE = "";
+const capitalize = /* @__PURE__ */ __name((str) => `${str.charAt(0).toLocaleUpperCase()}${str.substr(1)}`, "capitalize");
+function getDefaultLinkedModifiers() {
+  return {
+    upper: /* @__PURE__ */ __name((val, type) => {
+      return type === "text" && isString$2(val) ? val.toUpperCase() : type === "vnode" && isObject$2(val) && "__v_isVNode" in val ? val.children.toUpperCase() : val;
+    }, "upper"),
+    lower: /* @__PURE__ */ __name((val, type) => {
+      return type === "text" && isString$2(val) ? val.toLowerCase() : type === "vnode" && isObject$2(val) && "__v_isVNode" in val ? val.children.toLowerCase() : val;
+    }, "lower"),
+    capitalize: /* @__PURE__ */ __name((val, type) => {
+      return type === "text" && isString$2(val) ? capitalize(val) : type === "vnode" && isObject$2(val) && "__v_isVNode" in val ? capitalize(val.children) : val;
+    }, "capitalize")
+  };
+}
+__name(getDefaultLinkedModifiers, "getDefaultLinkedModifiers");
+let _compiler;
+function registerMessageCompiler(compiler) {
+  _compiler = compiler;
+}
+__name(registerMessageCompiler, "registerMessageCompiler");
+let _resolver;
+function registerMessageResolver(resolver) {
+  _resolver = resolver;
+}
+__name(registerMessageResolver, "registerMessageResolver");
+let _fallbacker;
+function registerLocaleFallbacker(fallbacker) {
+  _fallbacker = fallbacker;
+}
+__name(registerLocaleFallbacker, "registerLocaleFallbacker");
+let _additionalMeta = null;
+const setAdditionalMeta = /* @__PURE__ */ __name(/* @__NO_SIDE_EFFECTS__ */ (meta) => {
+  _additionalMeta = meta;
+}, "setAdditionalMeta");
+const getAdditionalMeta = /* @__PURE__ */ __name(/* @__NO_SIDE_EFFECTS__ */ () => _additionalMeta, "getAdditionalMeta");
+let _fallbackContext = null;
+const setFallbackContext = /* @__PURE__ */ __name((context) => {
+  _fallbackContext = context;
+}, "setFallbackContext");
+const getFallbackContext = /* @__PURE__ */ __name(() => _fallbackContext, "getFallbackContext");
+let _cid = 0;
+function createCoreContext(options3 = {}) {
+  const onWarn = isFunction$1(options3.onWarn) ? options3.onWarn : warn;
+  const version2 = isString$2(options3.version) ? options3.version : VERSION$1;
+  const locale2 = isString$2(options3.locale) || isFunction$1(options3.locale) ? options3.locale : DEFAULT_LOCALE;
+  const _locale = isFunction$1(locale2) ? DEFAULT_LOCALE : locale2;
+  const fallbackLocale = isArray$1(options3.fallbackLocale) || isPlainObject(options3.fallbackLocale) || isString$2(options3.fallbackLocale) || options3.fallbackLocale === false ? options3.fallbackLocale : _locale;
+  const messages2 = isPlainObject(options3.messages) ? options3.messages : { [_locale]: {} };
+  const datetimeFormats = isPlainObject(options3.datetimeFormats) ? options3.datetimeFormats : { [_locale]: {} };
+  const numberFormats = isPlainObject(options3.numberFormats) ? options3.numberFormats : { [_locale]: {} };
+  const modifiers = assign$1({}, options3.modifiers || {}, getDefaultLinkedModifiers());
+  const pluralRules = options3.pluralRules || {};
+  const missing = isFunction$1(options3.missing) ? options3.missing : null;
+  const missingWarn = isBoolean$1(options3.missingWarn) || isRegExp(options3.missingWarn) ? options3.missingWarn : true;
+  const fallbackWarn = isBoolean$1(options3.fallbackWarn) || isRegExp(options3.fallbackWarn) ? options3.fallbackWarn : true;
+  const fallbackFormat = !!options3.fallbackFormat;
+  const unresolving = !!options3.unresolving;
+  const postTranslation = isFunction$1(options3.postTranslation) ? options3.postTranslation : null;
+  const processor = isPlainObject(options3.processor) ? options3.processor : null;
+  const warnHtmlMessage = isBoolean$1(options3.warnHtmlMessage) ? options3.warnHtmlMessage : true;
+  const escapeParameter = !!options3.escapeParameter;
+  const messageCompiler = isFunction$1(options3.messageCompiler) ? options3.messageCompiler : _compiler;
+  if (false) {
+    warnOnce(getWarnMessage$1(CoreWarnCodes.EXPERIMENTAL_CUSTOM_MESSAGE_COMPILER));
+  }
+  const messageResolver = isFunction$1(options3.messageResolver) ? options3.messageResolver : _resolver || resolveWithKeyValue;
+  const localeFallbacker = isFunction$1(options3.localeFallbacker) ? options3.localeFallbacker : _fallbacker || fallbackWithSimple;
+  const fallbackContext = isObject$2(options3.fallbackContext) ? options3.fallbackContext : void 0;
+  const internalOptions = options3;
+  const __datetimeFormatters = isObject$2(internalOptions.__datetimeFormatters) ? internalOptions.__datetimeFormatters : /* @__PURE__ */ new Map();
+  const __numberFormatters = isObject$2(internalOptions.__numberFormatters) ? internalOptions.__numberFormatters : /* @__PURE__ */ new Map();
+  const __meta = isObject$2(internalOptions.__meta) ? internalOptions.__meta : {};
+  _cid++;
+  const context = {
+    version: version2,
+    cid: _cid,
+    locale: locale2,
+    fallbackLocale,
+    messages: messages2,
+    modifiers,
+    pluralRules,
+    missing,
+    missingWarn,
+    fallbackWarn,
+    fallbackFormat,
+    unresolving,
+    postTranslation,
+    processor,
+    warnHtmlMessage,
+    escapeParameter,
+    messageCompiler,
+    messageResolver,
+    localeFallbacker,
+    fallbackContext,
+    onWarn,
+    __meta
+  };
+  {
+    context.datetimeFormats = datetimeFormats;
+    context.numberFormats = numberFormats;
+    context.__datetimeFormatters = __datetimeFormatters;
+    context.__numberFormatters = __numberFormatters;
+  }
+  if (false) {
+    context.__v_emitter = internalOptions.__v_emitter != null ? internalOptions.__v_emitter : void 0;
+  }
+  if (__INTLIFY_PROD_DEVTOOLS__) {
+    initI18nDevTools(context, version2, __meta);
+  }
+  return context;
+}
+__name(createCoreContext, "createCoreContext");
+function isTranslateFallbackWarn(fallback, key) {
+  return fallback instanceof RegExp ? fallback.test(key) : fallback;
+}
+__name(isTranslateFallbackWarn, "isTranslateFallbackWarn");
+function isTranslateMissingWarn(missing, key) {
+  return missing instanceof RegExp ? missing.test(key) : missing;
+}
+__name(isTranslateMissingWarn, "isTranslateMissingWarn");
+function handleMissing(context, key, locale2, missingWarn, type) {
+  const { missing, onWarn } = context;
+  if (false) {
+    const emitter = context.__v_emitter;
+    if (emitter) {
+      emitter.emit("missing", {
+        locale: locale2,
+        key,
+        type,
+        groupId: `${type}:${key}`
+      });
+    }
+  }
+  if (missing !== null) {
+    const ret = missing(context, locale2, key, type);
+    return isString$2(ret) ? ret : key;
+  } else {
+    if (false) {
+      onWarn(getWarnMessage$1(CoreWarnCodes.NOT_FOUND_KEY, { key, locale: locale2 }));
+    }
+    return key;
+  }
+}
+__name(handleMissing, "handleMissing");
+function updateFallbackLocale(ctx, locale2, fallback) {
+  const context = ctx;
+  context.__localeChainCache = /* @__PURE__ */ new Map();
+  ctx.localeFallbacker(ctx, fallback, locale2);
+}
+__name(updateFallbackLocale, "updateFallbackLocale");
+function isAlmostSameLocale(locale2, compareLocale) {
+  if (locale2 === compareLocale)
+    return false;
+  return locale2.split("-")[0] === compareLocale.split("-")[0];
+}
+__name(isAlmostSameLocale, "isAlmostSameLocale");
+function isImplicitFallback(targetLocale, locales) {
+  const index2 = locales.indexOf(targetLocale);
+  if (index2 === -1) {
+    return false;
+  }
+  for (let i2 = index2 + 1; i2 < locales.length; i2++) {
+    if (isAlmostSameLocale(targetLocale, locales[i2])) {
+      return true;
+    }
+  }
+  return false;
+}
+__name(isImplicitFallback, "isImplicitFallback");
+function format$2(ast) {
+  const msg = /* @__PURE__ */ __name((ctx) => formatParts(ctx, ast), "msg");
+  return msg;
+}
+__name(format$2, "format$2");
+function formatParts(ctx, ast) {
+  const body = ast.b || ast.body;
+  if ((body.t || body.type) === 1) {
+    const plural = body;
+    const cases = plural.c || plural.cases;
+    return ctx.plural(cases.reduce((messages2, c) => [
+      ...messages2,
+      formatMessageParts(ctx, c)
+    ], []));
+  } else {
+    return formatMessageParts(ctx, body);
+  }
+}
+__name(formatParts, "formatParts");
+function formatMessageParts(ctx, node3) {
+  const _static = node3.s || node3.static;
+  if (_static) {
+    return ctx.type === "text" ? _static : ctx.normalize([_static]);
+  } else {
+    const messages2 = (node3.i || node3.items).reduce((acm, c) => [...acm, formatMessagePart(ctx, c)], []);
+    return ctx.normalize(messages2);
+  }
+}
+__name(formatMessageParts, "formatMessageParts");
+function formatMessagePart(ctx, node3) {
+  const type = node3.t || node3.type;
+  switch (type) {
+    case 3: {
+      const text = node3;
+      return text.v || text.value;
+    }
+    case 9: {
+      const literal = node3;
+      return literal.v || literal.value;
+    }
+    case 4: {
+      const named = node3;
+      return ctx.interpolate(ctx.named(named.k || named.key));
+    }
+    case 5: {
+      const list = node3;
+      return ctx.interpolate(ctx.list(list.i != null ? list.i : list.index));
+    }
+    case 6: {
+      const linked = node3;
+      const modifier = linked.m || linked.modifier;
+      return ctx.linked(formatMessagePart(ctx, linked.k || linked.key), modifier ? formatMessagePart(ctx, modifier) : void 0, ctx.type);
+    }
+    case 7: {
+      const linkedKey = node3;
+      return linkedKey.v || linkedKey.value;
+    }
+    case 8: {
+      const linkedModifier = node3;
+      return linkedModifier.v || linkedModifier.value;
+    }
+    default:
+      throw new Error(`unhandled node type on format message part: ${type}`);
+  }
+}
+__name(formatMessagePart, "formatMessagePart");
+const WARN_MESSAGE = `Detected HTML in '{source}' message. Recommend not using HTML messages to avoid XSS.`;
+function checkHtmlMessage(source, warnHtmlMessage) {
+  if (warnHtmlMessage && detectHtmlTag(source)) {
+    warn(format$4(WARN_MESSAGE, { source }));
+  }
+}
+__name(checkHtmlMessage, "checkHtmlMessage");
+const defaultOnCacheKey = /* @__PURE__ */ __name((message3) => message3, "defaultOnCacheKey");
+let compileCache = /* @__PURE__ */ Object.create(null);
+function onCompileWarn(_warn) {
+  if (_warn.code === CompileWarnCodes.USE_MODULO_SYNTAX) {
+    warn(`The use of named interpolation with modulo syntax is deprecated. It will be removed in v10.
+reference: https://vue-i18n.intlify.dev/guide/essentials/syntax#rails-i18n-format 
+(message compiler warning message: ${_warn.message})`);
+  }
+}
+__name(onCompileWarn, "onCompileWarn");
+function clearCompileCache() {
+  compileCache = /* @__PURE__ */ Object.create(null);
+}
+__name(clearCompileCache, "clearCompileCache");
+const isMessageAST = /* @__PURE__ */ __name((val) => isObject$2(val) && (val.t === 0 || val.type === 0) && ("b" in val || "body" in val), "isMessageAST");
+function baseCompile(message3, options3 = {}) {
+  let detectError = false;
+  const onError = options3.onError || defaultOnError;
+  options3.onError = (err) => {
+    detectError = true;
+    onError(err);
+  };
+  return { ...baseCompile$1(message3, options3), detectError };
+}
+__name(baseCompile, "baseCompile");
+const compileToFunction = /* @__PURE__ */ __name(/* @__NO_SIDE_EFFECTS__ */ (message3, context) => {
+  if (!isString$2(message3)) {
+    throw createCoreError(CoreErrorCodes.NOT_SUPPORT_NON_STRING_MESSAGE);
+  }
+  if (false) {
+    context.onWarn = onCompileWarn;
+  }
+  {
+    const warnHtmlMessage = isBoolean$1(context.warnHtmlMessage) ? context.warnHtmlMessage : true;
+    const onCacheKey = context.onCacheKey || defaultOnCacheKey;
+    const cacheKey = onCacheKey(message3);
+    const cached = compileCache[cacheKey];
+    if (cached) {
+      return cached;
+    }
+    const { code: code2, detectError } = baseCompile(message3, context);
+    const msg = new Function(`return ${code2}`)();
+    return !detectError ? compileCache[cacheKey] = msg : msg;
+  }
+}, "compileToFunction");
+function compile(message3, context) {
+  if (false) {
+    context.onWarn = onCompileWarn;
+  }
+  if (__INTLIFY_JIT_COMPILATION__ && !__INTLIFY_DROP_MESSAGE_COMPILER__ && isString$2(message3)) {
+    const warnHtmlMessage = isBoolean$1(context.warnHtmlMessage) ? context.warnHtmlMessage : true;
+    const onCacheKey = context.onCacheKey || defaultOnCacheKey;
+    const cacheKey = onCacheKey(message3);
+    const cached = compileCache[cacheKey];
+    if (cached) {
+      return cached;
+    }
+    const { ast, detectError } = baseCompile(message3, {
+      ...context,
+      location: false,
+      jit: true
+    });
+    const msg = format$2(ast);
+    return !detectError ? compileCache[cacheKey] = msg : msg;
+  } else {
+    if (false) {
+      warn(`the message that is resolve with key '${context.key}' is not supported for jit compilation`);
+      return () => message3;
+    }
+    const cacheKey = message3.cacheKey;
+    if (cacheKey) {
+      const cached = compileCache[cacheKey];
+      if (cached) {
+        return cached;
+      }
+      return compileCache[cacheKey] = format$2(message3);
+    } else {
+      return format$2(message3);
+    }
+  }
+}
+__name(compile, "compile");
+const NOOP_MESSAGE_FUNCTION = /* @__PURE__ */ __name(() => "", "NOOP_MESSAGE_FUNCTION");
+const isMessageFunction = /* @__PURE__ */ __name((val) => isFunction$1(val), "isMessageFunction");
+function translate(context, ...args) {
+  const { fallbackFormat, postTranslation, unresolving, messageCompiler, fallbackLocale, messages: messages2 } = context;
+  const [key, options3] = parseTranslateArgs(...args);
+  const missingWarn = isBoolean$1(options3.missingWarn) ? options3.missingWarn : context.missingWarn;
+  const fallbackWarn = isBoolean$1(options3.fallbackWarn) ? options3.fallbackWarn : context.fallbackWarn;
+  const escapeParameter = isBoolean$1(options3.escapeParameter) ? options3.escapeParameter : context.escapeParameter;
+  const resolvedMessage = !!options3.resolvedMessage;
+  const defaultMsgOrKey = isString$2(options3.default) || isBoolean$1(options3.default) ? !isBoolean$1(options3.default) ? options3.default : !messageCompiler ? () => key : key : fallbackFormat ? !messageCompiler ? () => key : key : "";
+  const enableDefaultMsg = fallbackFormat || defaultMsgOrKey !== "";
+  const locale2 = getLocale(context, options3);
+  escapeParameter && escapeParams(options3);
+  let [formatScope, targetLocale, message3] = !resolvedMessage ? resolveMessageFormat(context, key, locale2, fallbackLocale, fallbackWarn, missingWarn) : [
+    key,
+    locale2,
+    messages2[locale2] || {}
+  ];
+  let format2 = formatScope;
+  let cacheBaseKey = key;
+  if (!resolvedMessage && !(isString$2(format2) || isMessageAST(format2) || isMessageFunction(format2))) {
+    if (enableDefaultMsg) {
+      format2 = defaultMsgOrKey;
+      cacheBaseKey = format2;
+    }
+  }
+  if (!resolvedMessage && (!(isString$2(format2) || isMessageAST(format2) || isMessageFunction(format2)) || !isString$2(targetLocale))) {
+    return unresolving ? NOT_REOSLVED : key;
+  }
+  if (false) {
+    warn(`The message format compilation is not supported in this build. Because message compiler isn't included. You need to pre-compilation all message format. So translate function return '${key}'.`);
+    return key;
+  }
+  let occurred = false;
+  const onError = /* @__PURE__ */ __name(() => {
+    occurred = true;
+  }, "onError");
+  const msg = !isMessageFunction(format2) ? compileMessageFormat(context, key, targetLocale, format2, cacheBaseKey, onError) : format2;
+  if (occurred) {
+    return format2;
+  }
+  const ctxOptions = getMessageContextOptions(context, targetLocale, message3, options3);
+  const msgContext = createMessageContext(ctxOptions);
+  const messaged = evaluateMessage(context, msg, msgContext);
+  const ret = postTranslation ? postTranslation(messaged, key) : messaged;
+  if (__INTLIFY_PROD_DEVTOOLS__) {
+    const payloads = {
+      timestamp: Date.now(),
+      key: isString$2(key) ? key : isMessageFunction(format2) ? format2.key : "",
+      locale: targetLocale || (isMessageFunction(format2) ? format2.locale : ""),
+      format: isString$2(format2) ? format2 : isMessageFunction(format2) ? format2.source : "",
+      message: ret
+    };
+    payloads.meta = assign$1({}, context.__meta, /* @__PURE__ */ getAdditionalMeta() || {});
+    translateDevTools(payloads);
+  }
+  return ret;
+}
+__name(translate, "translate");
+function escapeParams(options3) {
+  if (isArray$1(options3.list)) {
+    options3.list = options3.list.map((item2) => isString$2(item2) ? escapeHtml(item2) : item2);
+  } else if (isObject$2(options3.named)) {
+    Object.keys(options3.named).forEach((key) => {
+      if (isString$2(options3.named[key])) {
+        options3.named[key] = escapeHtml(options3.named[key]);
+      }
+    });
+  }
+}
+__name(escapeParams, "escapeParams");
+function resolveMessageFormat(context, key, locale2, fallbackLocale, fallbackWarn, missingWarn) {
+  const { messages: messages2, onWarn, messageResolver: resolveValue2, localeFallbacker } = context;
+  const locales = localeFallbacker(context, fallbackLocale, locale2);
+  let message3 = {};
+  let targetLocale;
+  let format2 = null;
+  let from = locale2;
+  let to = null;
+  const type = "translate";
+  for (let i2 = 0; i2 < locales.length; i2++) {
+    targetLocale = to = locales[i2];
+    if (false) {
+      onWarn(getWarnMessage$1(CoreWarnCodes.FALLBACK_TO_TRANSLATE, {
+        key,
+        target: targetLocale
+      }));
+    }
+    if (false) {
+      const emitter = context.__v_emitter;
+      if (emitter) {
+        emitter.emit("fallback", {
+          type,
+          key,
+          from,
+          to,
+          groupId: `${type}:${key}`
+        });
+      }
+    }
+    message3 = messages2[targetLocale] || {};
+    let start2 = null;
+    let startTag;
+    let endTag;
+    if (false) {
+      start2 = window.performance.now();
+      startTag = "intlify-message-resolve-start";
+      endTag = "intlify-message-resolve-end";
+      mark && mark(startTag);
+    }
+    if ((format2 = resolveValue2(message3, key)) === null) {
+      format2 = message3[key];
+    }
+    if (false) {
+      const end = window.performance.now();
+      const emitter = context.__v_emitter;
+      if (emitter && start2 && format2) {
+        emitter.emit("message-resolve", {
+          type: "message-resolve",
+          key,
+          message: format2,
+          time: end - start2,
+          groupId: `${type}:${key}`
+        });
+      }
+      if (startTag && endTag && mark && measure) {
+        mark(endTag);
+        measure("intlify message resolve", startTag, endTag);
+      }
+    }
+    if (isString$2(format2) || isMessageAST(format2) || isMessageFunction(format2)) {
+      break;
+    }
+    if (!isImplicitFallback(targetLocale, locales)) {
+      const missingRet = handleMissing(
+        context,
+        // eslint-disable-line @typescript-eslint/no-explicit-any
+        key,
+        targetLocale,
+        missingWarn,
+        type
+      );
+      if (missingRet !== key) {
+        format2 = missingRet;
+      }
+    }
+    from = to;
+  }
+  return [format2, targetLocale, message3];
+}
+__name(resolveMessageFormat, "resolveMessageFormat");
+function compileMessageFormat(context, key, targetLocale, format2, cacheBaseKey, onError) {
+  const { messageCompiler, warnHtmlMessage } = context;
+  if (isMessageFunction(format2)) {
+    const msg2 = format2;
+    msg2.locale = msg2.locale || targetLocale;
+    msg2.key = msg2.key || key;
+    return msg2;
+  }
+  if (messageCompiler == null) {
+    const msg2 = /* @__PURE__ */ __name(() => format2, "msg2");
+    msg2.locale = targetLocale;
+    msg2.key = key;
+    return msg2;
+  }
+  let start2 = null;
+  let startTag;
+  let endTag;
+  if (false) {
+    start2 = window.performance.now();
+    startTag = "intlify-message-compilation-start";
+    endTag = "intlify-message-compilation-end";
+    mark && mark(startTag);
+  }
+  const msg = messageCompiler(format2, getCompileContext(context, targetLocale, cacheBaseKey, format2, warnHtmlMessage, onError));
+  if (false) {
+    const end = window.performance.now();
+    const emitter = context.__v_emitter;
+    if (emitter && start2) {
+      emitter.emit("message-compilation", {
+        type: "message-compilation",
+        message: format2,
+        time: end - start2,
+        groupId: `${"translate"}:${key}`
+      });
+    }
+    if (startTag && endTag && mark && measure) {
+      mark(endTag);
+      measure("intlify message compilation", startTag, endTag);
+    }
+  }
+  msg.locale = targetLocale;
+  msg.key = key;
+  msg.source = format2;
+  return msg;
+}
+__name(compileMessageFormat, "compileMessageFormat");
+function evaluateMessage(context, msg, msgCtx) {
+  let start2 = null;
+  let startTag;
+  let endTag;
+  if (false) {
+    start2 = window.performance.now();
+    startTag = "intlify-message-evaluation-start";
+    endTag = "intlify-message-evaluation-end";
+    mark && mark(startTag);
+  }
+  const messaged = msg(msgCtx);
+  if (false) {
+    const end = window.performance.now();
+    const emitter = context.__v_emitter;
+    if (emitter && start2) {
+      emitter.emit("message-evaluation", {
+        type: "message-evaluation",
+        value: messaged,
+        time: end - start2,
+        groupId: `${"translate"}:${msg.key}`
+      });
+    }
+    if (startTag && endTag && mark && measure) {
+      mark(endTag);
+      measure("intlify message evaluation", startTag, endTag);
+    }
+  }
+  return messaged;
+}
+__name(evaluateMessage, "evaluateMessage");
+function parseTranslateArgs(...args) {
+  const [arg1, arg2, arg3] = args;
+  const options3 = {};
+  if (!isString$2(arg1) && !isNumber$1(arg1) && !isMessageFunction(arg1) && !isMessageAST(arg1)) {
+    throw createCoreError(CoreErrorCodes.INVALID_ARGUMENT);
+  }
+  const key = isNumber$1(arg1) ? String(arg1) : isMessageFunction(arg1) ? arg1 : arg1;
+  if (isNumber$1(arg2)) {
+    options3.plural = arg2;
+  } else if (isString$2(arg2)) {
+    options3.default = arg2;
+  } else if (isPlainObject(arg2) && !isEmptyObject(arg2)) {
+    options3.named = arg2;
+  } else if (isArray$1(arg2)) {
+    options3.list = arg2;
+  }
+  if (isNumber$1(arg3)) {
+    options3.plural = arg3;
+  } else if (isString$2(arg3)) {
+    options3.default = arg3;
+  } else if (isPlainObject(arg3)) {
+    assign$1(options3, arg3);
+  }
+  return [key, options3];
+}
+__name(parseTranslateArgs, "parseTranslateArgs");
+function getCompileContext(context, locale2, key, source, warnHtmlMessage, onError) {
+  return {
+    locale: locale2,
+    key,
+    warnHtmlMessage,
+    onError: /* @__PURE__ */ __name((err) => {
+      onError && onError(err);
+      if (false) {
+        const _source = getSourceForCodeFrame(source);
+        const message3 = `Message compilation error: ${err.message}`;
+        const codeFrame = err.location && _source && generateCodeFrame(_source, err.location.start.offset, err.location.end.offset);
+        const emitter = context.__v_emitter;
+        if (emitter && _source) {
+          emitter.emit("compile-error", {
+            message: _source,
+            error: err.message,
+            start: err.location && err.location.start.offset,
+            end: err.location && err.location.end.offset,
+            groupId: `${"translate"}:${key}`
+          });
+        }
+        console.error(codeFrame ? `${message3}
+${codeFrame}` : message3);
+      } else {
+        throw err;
+      }
+    }, "onError"),
+    onCacheKey: /* @__PURE__ */ __name((source2) => generateFormatCacheKey(locale2, key, source2), "onCacheKey")
+  };
+}
+__name(getCompileContext, "getCompileContext");
+function getSourceForCodeFrame(source) {
+  if (isString$2(source)) {
+    return source;
+  } else {
+    if (source.loc && source.loc.source) {
+      return source.loc.source;
+    }
+  }
+}
+__name(getSourceForCodeFrame, "getSourceForCodeFrame");
+function getMessageContextOptions(context, locale2, message3, options3) {
+  const { modifiers, pluralRules, messageResolver: resolveValue2, fallbackLocale, fallbackWarn, missingWarn, fallbackContext } = context;
+  const resolveMessage = /* @__PURE__ */ __name((key) => {
+    let val = resolveValue2(message3, key);
+    if (val == null && fallbackContext) {
+      const [, , message22] = resolveMessageFormat(fallbackContext, key, locale2, fallbackLocale, fallbackWarn, missingWarn);
+      val = resolveValue2(message22, key);
+    }
+    if (isString$2(val) || isMessageAST(val)) {
+      let occurred = false;
+      const onError = /* @__PURE__ */ __name(() => {
+        occurred = true;
+      }, "onError");
+      const msg = compileMessageFormat(context, key, locale2, val, key, onError);
+      return !occurred ? msg : NOOP_MESSAGE_FUNCTION;
+    } else if (isMessageFunction(val)) {
+      return val;
+    } else {
+      return NOOP_MESSAGE_FUNCTION;
+    }
+  }, "resolveMessage");
+  const ctxOptions = {
+    locale: locale2,
+    modifiers,
+    pluralRules,
+    messages: resolveMessage
+  };
+  if (context.processor) {
+    ctxOptions.processor = context.processor;
+  }
+  if (options3.list) {
+    ctxOptions.list = options3.list;
+  }
+  if (options3.named) {
+    ctxOptions.named = options3.named;
+  }
+  if (isNumber$1(options3.plural)) {
+    ctxOptions.pluralIndex = options3.plural;
+  }
+  return ctxOptions;
+}
+__name(getMessageContextOptions, "getMessageContextOptions");
+const intlDefined = typeof Intl !== "undefined";
+const Availabilities = {
+  dateTimeFormat: intlDefined && typeof Intl.DateTimeFormat !== "undefined",
+  numberFormat: intlDefined && typeof Intl.NumberFormat !== "undefined"
+};
+function datetime(context, ...args) {
+  const { datetimeFormats, unresolving, fallbackLocale, onWarn, localeFallbacker } = context;
+  const { __datetimeFormatters } = context;
+  if (false) {
+    onWarn(getWarnMessage$1(CoreWarnCodes.CANNOT_FORMAT_DATE));
+    return MISSING_RESOLVE_VALUE;
+  }
+  const [key, value3, options3, overrides] = parseDateTimeArgs(...args);
+  const missingWarn = isBoolean$1(options3.missingWarn) ? options3.missingWarn : context.missingWarn;
+  const fallbackWarn = isBoolean$1(options3.fallbackWarn) ? options3.fallbackWarn : context.fallbackWarn;
+  const part = !!options3.part;
+  const locale2 = getLocale(context, options3);
+  const locales = localeFallbacker(
+    context,
+    // eslint-disable-line @typescript-eslint/no-explicit-any
+    fallbackLocale,
+    locale2
+  );
+  if (!isString$2(key) || key === "") {
+    return new Intl.DateTimeFormat(locale2, overrides).format(value3);
+  }
+  let datetimeFormat = {};
+  let targetLocale;
+  let format2 = null;
+  let from = locale2;
+  let to = null;
+  const type = "datetime format";
+  for (let i2 = 0; i2 < locales.length; i2++) {
+    targetLocale = to = locales[i2];
+    if (false) {
+      onWarn(getWarnMessage$1(CoreWarnCodes.FALLBACK_TO_DATE_FORMAT, {
+        key,
+        target: targetLocale
+      }));
+    }
+    if (false) {
+      const emitter = context.__v_emitter;
+      if (emitter) {
+        emitter.emit("fallback", {
+          type,
+          key,
+          from,
+          to,
+          groupId: `${type}:${key}`
+        });
+      }
+    }
+    datetimeFormat = datetimeFormats[targetLocale] || {};
+    format2 = datetimeFormat[key];
+    if (isPlainObject(format2))
+      break;
+    handleMissing(context, key, targetLocale, missingWarn, type);
+    from = to;
+  }
+  if (!isPlainObject(format2) || !isString$2(targetLocale)) {
+    return unresolving ? NOT_REOSLVED : key;
+  }
+  let id2 = `${targetLocale}__${key}`;
+  if (!isEmptyObject(overrides)) {
+    id2 = `${id2}__${JSON.stringify(overrides)}`;
+  }
+  let formatter = __datetimeFormatters.get(id2);
+  if (!formatter) {
+    formatter = new Intl.DateTimeFormat(targetLocale, assign$1({}, format2, overrides));
+    __datetimeFormatters.set(id2, formatter);
+  }
+  return !part ? formatter.format(value3) : formatter.formatToParts(value3);
+}
+__name(datetime, "datetime");
+const DATETIME_FORMAT_OPTIONS_KEYS = [
+  "localeMatcher",
+  "weekday",
+  "era",
+  "year",
+  "month",
+  "day",
+  "hour",
+  "minute",
+  "second",
+  "timeZoneName",
+  "formatMatcher",
+  "hour12",
+  "timeZone",
+  "dateStyle",
+  "timeStyle",
+  "calendar",
+  "dayPeriod",
+  "numberingSystem",
+  "hourCycle",
+  "fractionalSecondDigits"
+];
+function parseDateTimeArgs(...args) {
+  const [arg1, arg2, arg3, arg4] = args;
+  const options3 = {};
+  let overrides = {};
+  let value3;
+  if (isString$2(arg1)) {
+    const matches2 = arg1.match(/(\d{4}-\d{2}-\d{2})(T|\s)?(.*)/);
+    if (!matches2) {
+      throw createCoreError(CoreErrorCodes.INVALID_ISO_DATE_ARGUMENT);
+    }
+    const dateTime = matches2[3] ? matches2[3].trim().startsWith("T") ? `${matches2[1].trim()}${matches2[3].trim()}` : `${matches2[1].trim()}T${matches2[3].trim()}` : matches2[1].trim();
+    value3 = new Date(dateTime);
+    try {
+      value3.toISOString();
+    } catch (e) {
+      throw createCoreError(CoreErrorCodes.INVALID_ISO_DATE_ARGUMENT);
+    }
+  } else if (isDate(arg1)) {
+    if (isNaN(arg1.getTime())) {
+      throw createCoreError(CoreErrorCodes.INVALID_DATE_ARGUMENT);
+    }
+    value3 = arg1;
+  } else if (isNumber$1(arg1)) {
+    value3 = arg1;
+  } else {
+    throw createCoreError(CoreErrorCodes.INVALID_ARGUMENT);
+  }
+  if (isString$2(arg2)) {
+    options3.key = arg2;
+  } else if (isPlainObject(arg2)) {
+    Object.keys(arg2).forEach((key) => {
+      if (DATETIME_FORMAT_OPTIONS_KEYS.includes(key)) {
+        overrides[key] = arg2[key];
+      } else {
+        options3[key] = arg2[key];
+      }
+    });
+  }
+  if (isString$2(arg3)) {
+    options3.locale = arg3;
+  } else if (isPlainObject(arg3)) {
+    overrides = arg3;
+  }
+  if (isPlainObject(arg4)) {
+    overrides = arg4;
+  }
+  return [options3.key || "", value3, options3, overrides];
+}
+__name(parseDateTimeArgs, "parseDateTimeArgs");
+function clearDateTimeFormat(ctx, locale2, format2) {
+  const context = ctx;
+  for (const key in format2) {
+    const id2 = `${locale2}__${key}`;
+    if (!context.__datetimeFormatters.has(id2)) {
+      continue;
+    }
+    context.__datetimeFormatters.delete(id2);
+  }
+}
+__name(clearDateTimeFormat, "clearDateTimeFormat");
+function number(context, ...args) {
+  const { numberFormats, unresolving, fallbackLocale, onWarn, localeFallbacker } = context;
+  const { __numberFormatters } = context;
+  if (false) {
+    onWarn(getWarnMessage$1(CoreWarnCodes.CANNOT_FORMAT_NUMBER));
+    return MISSING_RESOLVE_VALUE;
+  }
+  const [key, value3, options3, overrides] = parseNumberArgs(...args);
+  const missingWarn = isBoolean$1(options3.missingWarn) ? options3.missingWarn : context.missingWarn;
+  const fallbackWarn = isBoolean$1(options3.fallbackWarn) ? options3.fallbackWarn : context.fallbackWarn;
+  const part = !!options3.part;
+  const locale2 = getLocale(context, options3);
+  const locales = localeFallbacker(
+    context,
+    // eslint-disable-line @typescript-eslint/no-explicit-any
+    fallbackLocale,
+    locale2
+  );
+  if (!isString$2(key) || key === "") {
+    return new Intl.NumberFormat(locale2, overrides).format(value3);
+  }
+  let numberFormat = {};
+  let targetLocale;
+  let format2 = null;
+  let from = locale2;
+  let to = null;
+  const type = "number format";
+  for (let i2 = 0; i2 < locales.length; i2++) {
+    targetLocale = to = locales[i2];
+    if (false) {
+      onWarn(getWarnMessage$1(CoreWarnCodes.FALLBACK_TO_NUMBER_FORMAT, {
+        key,
+        target: targetLocale
+      }));
+    }
+    if (false) {
+      const emitter = context.__v_emitter;
+      if (emitter) {
+        emitter.emit("fallback", {
+          type,
+          key,
+          from,
+          to,
+          groupId: `${type}:${key}`
+        });
+      }
+    }
+    numberFormat = numberFormats[targetLocale] || {};
+    format2 = numberFormat[key];
+    if (isPlainObject(format2))
+      break;
+    handleMissing(context, key, targetLocale, missingWarn, type);
+    from = to;
+  }
+  if (!isPlainObject(format2) || !isString$2(targetLocale)) {
+    return unresolving ? NOT_REOSLVED : key;
+  }
+  let id2 = `${targetLocale}__${key}`;
+  if (!isEmptyObject(overrides)) {
+    id2 = `${id2}__${JSON.stringify(overrides)}`;
+  }
+  let formatter = __numberFormatters.get(id2);
+  if (!formatter) {
+    formatter = new Intl.NumberFormat(targetLocale, assign$1({}, format2, overrides));
+    __numberFormatters.set(id2, formatter);
+  }
+  return !part ? formatter.format(value3) : formatter.formatToParts(value3);
+}
+__name(number, "number");
+const NUMBER_FORMAT_OPTIONS_KEYS = [
+  "localeMatcher",
+  "style",
+  "currency",
+  "currencyDisplay",
+  "currencySign",
+  "useGrouping",
+  "minimumIntegerDigits",
+  "minimumFractionDigits",
+  "maximumFractionDigits",
+  "minimumSignificantDigits",
+  "maximumSignificantDigits",
+  "compactDisplay",
+  "notation",
+  "signDisplay",
+  "unit",
+  "unitDisplay",
+  "roundingMode",
+  "roundingPriority",
+  "roundingIncrement",
+  "trailingZeroDisplay"
+];
+function parseNumberArgs(...args) {
+  const [arg1, arg2, arg3, arg4] = args;
+  const options3 = {};
+  let overrides = {};
+  if (!isNumber$1(arg1)) {
+    throw createCoreError(CoreErrorCodes.INVALID_ARGUMENT);
+  }
+  const value3 = arg1;
+  if (isString$2(arg2)) {
+    options3.key = arg2;
+  } else if (isPlainObject(arg2)) {
+    Object.keys(arg2).forEach((key) => {
+      if (NUMBER_FORMAT_OPTIONS_KEYS.includes(key)) {
+        overrides[key] = arg2[key];
+      } else {
+        options3[key] = arg2[key];
+      }
+    });
+  }
+  if (isString$2(arg3)) {
+    options3.locale = arg3;
+  } else if (isPlainObject(arg3)) {
+    overrides = arg3;
+  }
+  if (isPlainObject(arg4)) {
+    overrides = arg4;
+  }
+  return [options3.key || "", value3, options3, overrides];
+}
+__name(parseNumberArgs, "parseNumberArgs");
+function clearNumberFormat(ctx, locale2, format2) {
+  const context = ctx;
+  for (const key in format2) {
+    const id2 = `${locale2}__${key}`;
+    if (!context.__numberFormatters.has(id2)) {
+      continue;
+    }
+    context.__numberFormatters.delete(id2);
+  }
+}
+__name(clearNumberFormat, "clearNumberFormat");
+{
+  initFeatureFlags$1();
+}
+/*!
+  * vue-i18n v9.13.1
+  * (c) 2024 kazuya kawaguchi
+  * Released under the MIT License.
+  */
+const VERSION = "9.13.1";
+function initFeatureFlags() {
+  if (typeof __VUE_I18N_FULL_INSTALL__ !== "boolean") {
+    getGlobalThis().__VUE_I18N_FULL_INSTALL__ = true;
+  }
+  if (typeof __VUE_I18N_LEGACY_API__ !== "boolean") {
+    getGlobalThis().__VUE_I18N_LEGACY_API__ = true;
+  }
+  if (typeof __INTLIFY_JIT_COMPILATION__ !== "boolean") {
+    getGlobalThis().__INTLIFY_JIT_COMPILATION__ = false;
+  }
+  if (typeof __INTLIFY_DROP_MESSAGE_COMPILER__ !== "boolean") {
+    getGlobalThis().__INTLIFY_DROP_MESSAGE_COMPILER__ = false;
+  }
+  if (typeof __INTLIFY_PROD_DEVTOOLS__ !== "boolean") {
+    getGlobalThis().__INTLIFY_PROD_DEVTOOLS__ = false;
+  }
+}
+__name(initFeatureFlags, "initFeatureFlags");
+const code$1 = CoreWarnCodes.__EXTEND_POINT__;
+const inc$1 = incrementer(code$1);
+const I18nWarnCodes = {
+  FALLBACK_TO_ROOT: code$1,
+  // 9
+  NOT_SUPPORTED_PRESERVE: inc$1(),
+  // 10
+  NOT_SUPPORTED_FORMATTER: inc$1(),
+  // 11
+  NOT_SUPPORTED_PRESERVE_DIRECTIVE: inc$1(),
+  // 12
+  NOT_SUPPORTED_GET_CHOICE_INDEX: inc$1(),
+  // 13
+  COMPONENT_NAME_LEGACY_COMPATIBLE: inc$1(),
+  // 14
+  NOT_FOUND_PARENT_SCOPE: inc$1(),
+  // 15
+  IGNORE_OBJ_FLATTEN: inc$1(),
+  // 16
+  NOTICE_DROP_ALLOW_COMPOSITION: inc$1(),
+  // 17
+  NOTICE_DROP_TRANSLATE_EXIST_COMPATIBLE_FLAG: inc$1()
+  // 18
+};
+const warnMessages = {
+  [I18nWarnCodes.FALLBACK_TO_ROOT]: `Fall back to {type} '{key}' with root locale.`,
+  [I18nWarnCodes.NOT_SUPPORTED_PRESERVE]: `Not supported 'preserve'.`,
+  [I18nWarnCodes.NOT_SUPPORTED_FORMATTER]: `Not supported 'formatter'.`,
+  [I18nWarnCodes.NOT_SUPPORTED_PRESERVE_DIRECTIVE]: `Not supported 'preserveDirectiveContent'.`,
+  [I18nWarnCodes.NOT_SUPPORTED_GET_CHOICE_INDEX]: `Not supported 'getChoiceIndex'.`,
+  [I18nWarnCodes.COMPONENT_NAME_LEGACY_COMPATIBLE]: `Component name legacy compatible: '{name}' -> 'i18n'`,
+  [I18nWarnCodes.NOT_FOUND_PARENT_SCOPE]: `Not found parent scope. use the global scope.`,
+  [I18nWarnCodes.IGNORE_OBJ_FLATTEN]: `Ignore object flatten: '{key}' key has an string value`,
+  [I18nWarnCodes.NOTICE_DROP_ALLOW_COMPOSITION]: `'allowComposition' option will be dropped in the next major version. For more information, please see 👉 https://tinyurl.com/2p97mcze`,
+  [I18nWarnCodes.NOTICE_DROP_TRANSLATE_EXIST_COMPATIBLE_FLAG]: `'translateExistCompatible' option will be dropped in the next major version.`
+};
+function getWarnMessage(code2, ...args) {
+  return format$4(warnMessages[code2], ...args);
+}
+__name(getWarnMessage, "getWarnMessage");
+const code = CoreErrorCodes.__EXTEND_POINT__;
+const inc = incrementer(code);
+const I18nErrorCodes = {
+  // composer module errors
+  UNEXPECTED_RETURN_TYPE: code,
+  // 24
+  // legacy module errors
+  INVALID_ARGUMENT: inc(),
+  // 25
+  // i18n module errors
+  MUST_BE_CALL_SETUP_TOP: inc(),
+  // 26
+  NOT_INSTALLED: inc(),
+  // 27
+  NOT_AVAILABLE_IN_LEGACY_MODE: inc(),
+  // 28
+  // directive module errors
+  REQUIRED_VALUE: inc(),
+  // 29
+  INVALID_VALUE: inc(),
+  // 30
+  // vue-devtools errors
+  CANNOT_SETUP_VUE_DEVTOOLS_PLUGIN: inc(),
+  // 31
+  NOT_INSTALLED_WITH_PROVIDE: inc(),
+  // 32
+  // unexpected error
+  UNEXPECTED_ERROR: inc(),
+  // 33
+  // not compatible legacy vue-i18n constructor
+  NOT_COMPATIBLE_LEGACY_VUE_I18N: inc(),
+  // 34
+  // bridge support vue 2.x only
+  BRIDGE_SUPPORT_VUE_2_ONLY: inc(),
+  // 35
+  // need to define `i18n` option in `allowComposition: true` and `useScope: 'local' at `useI18n``
+  MUST_DEFINE_I18N_OPTION_IN_ALLOW_COMPOSITION: inc(),
+  // 36
+  // Not available Compostion API in Legacy API mode. Please make sure that the legacy API mode is working properly
+  NOT_AVAILABLE_COMPOSITION_IN_LEGACY: inc(),
+  // 37
+  // for enhancement
+  __EXTEND_POINT__: inc()
+  // 38
+};
+function createI18nError(code2, ...args) {
+  return createCompileError(code2, null, false ? { messages: errorMessages, args } : void 0);
+}
+__name(createI18nError, "createI18nError");
+const errorMessages = {
+  [I18nErrorCodes.UNEXPECTED_RETURN_TYPE]: "Unexpected return type in composer",
+  [I18nErrorCodes.INVALID_ARGUMENT]: "Invalid argument",
+  [I18nErrorCodes.MUST_BE_CALL_SETUP_TOP]: "Must be called at the top of a `setup` function",
+  [I18nErrorCodes.NOT_INSTALLED]: "Need to install with `app.use` function",
+  [I18nErrorCodes.UNEXPECTED_ERROR]: "Unexpected error",
+  [I18nErrorCodes.NOT_AVAILABLE_IN_LEGACY_MODE]: "Not available in legacy mode",
+  [I18nErrorCodes.REQUIRED_VALUE]: `Required in value: {0}`,
+  [I18nErrorCodes.INVALID_VALUE]: `Invalid value`,
+  [I18nErrorCodes.CANNOT_SETUP_VUE_DEVTOOLS_PLUGIN]: `Cannot setup vue-devtools plugin`,
+  [I18nErrorCodes.NOT_INSTALLED_WITH_PROVIDE]: "Need to install with `provide` function",
+  [I18nErrorCodes.NOT_COMPATIBLE_LEGACY_VUE_I18N]: "Not compatible legacy VueI18n.",
+  [I18nErrorCodes.BRIDGE_SUPPORT_VUE_2_ONLY]: "vue-i18n-bridge support Vue 2.x only",
+  [I18nErrorCodes.MUST_DEFINE_I18N_OPTION_IN_ALLOW_COMPOSITION]: "Must define ‘i18n’ option or custom block in Composition API with using local scope in Legacy API mode",
+  [I18nErrorCodes.NOT_AVAILABLE_COMPOSITION_IN_LEGACY]: "Not available Compostion API in Legacy API mode. Please make sure that the legacy API mode is working properly"
+};
+const TranslateVNodeSymbol = /* @__PURE__ */ makeSymbol("__translateVNode");
+const DatetimePartsSymbol = /* @__PURE__ */ makeSymbol("__datetimeParts");
+const NumberPartsSymbol = /* @__PURE__ */ makeSymbol("__numberParts");
+const EnableEmitter = /* @__PURE__ */ makeSymbol("__enableEmitter");
+const DisableEmitter = /* @__PURE__ */ makeSymbol("__disableEmitter");
+const SetPluralRulesSymbol = makeSymbol("__setPluralRules");
+makeSymbol("__intlifyMeta");
+const InejctWithOptionSymbol = /* @__PURE__ */ makeSymbol("__injectWithOption");
+const DisposeSymbol = /* @__PURE__ */ makeSymbol("__dispose");
+const __VUE_I18N_BRIDGE__ = "__VUE_I18N_BRIDGE__";
+function handleFlatJson(obj) {
+  if (!isObject$2(obj)) {
+    return obj;
+  }
+  for (const key in obj) {
+    if (!hasOwn$1(obj, key)) {
+      continue;
+    }
+    if (!key.includes(".")) {
+      if (isObject$2(obj[key])) {
+        handleFlatJson(obj[key]);
+      }
+    } else {
+      const subKeys = key.split(".");
+      const lastIndex = subKeys.length - 1;
+      let currentObj = obj;
+      let hasStringValue = false;
+      for (let i2 = 0; i2 < lastIndex; i2++) {
+        if (!(subKeys[i2] in currentObj)) {
+          currentObj[subKeys[i2]] = {};
+        }
+        if (!isObject$2(currentObj[subKeys[i2]])) {
+          hasStringValue = true;
+          break;
+        }
+        currentObj = currentObj[subKeys[i2]];
+      }
+      if (!hasStringValue) {
+        currentObj[subKeys[lastIndex]] = obj[key];
+        delete obj[key];
+      }
+      if (isObject$2(currentObj[subKeys[lastIndex]])) {
+        handleFlatJson(currentObj[subKeys[lastIndex]]);
+      }
+    }
+  }
+  return obj;
+}
+__name(handleFlatJson, "handleFlatJson");
+function getLocaleMessages(locale2, options3) {
+  const { messages: messages2, __i18n, messageResolver, flatJson } = options3;
+  const ret = isPlainObject(messages2) ? messages2 : isArray$1(__i18n) ? {} : { [locale2]: {} };
+  if (isArray$1(__i18n)) {
+    __i18n.forEach((custom2) => {
+      if ("locale" in custom2 && "resource" in custom2) {
+        const { locale: locale22, resource } = custom2;
+        if (locale22) {
+          ret[locale22] = ret[locale22] || {};
+          deepCopy(resource, ret[locale22]);
+        } else {
+          deepCopy(resource, ret);
+        }
+      } else {
+        isString$2(custom2) && deepCopy(JSON.parse(custom2), ret);
+      }
+    });
+  }
+  if (messageResolver == null && flatJson) {
+    for (const key in ret) {
+      if (hasOwn$1(ret, key)) {
+        handleFlatJson(ret[key]);
+      }
+    }
+  }
+  return ret;
+}
+__name(getLocaleMessages, "getLocaleMessages");
+function getComponentOptions(instance) {
+  return instance.type;
+}
+__name(getComponentOptions, "getComponentOptions");
+function adjustI18nResources(gl, options3, componentOptions) {
+  let messages2 = isObject$2(options3.messages) ? options3.messages : {};
+  if ("__i18nGlobal" in componentOptions) {
+    messages2 = getLocaleMessages(gl.locale.value, {
+      messages: messages2,
+      __i18n: componentOptions.__i18nGlobal
+    });
+  }
+  const locales = Object.keys(messages2);
+  if (locales.length) {
+    locales.forEach((locale2) => {
+      gl.mergeLocaleMessage(locale2, messages2[locale2]);
+    });
+  }
+  {
+    if (isObject$2(options3.datetimeFormats)) {
+      const locales2 = Object.keys(options3.datetimeFormats);
+      if (locales2.length) {
+        locales2.forEach((locale2) => {
+          gl.mergeDateTimeFormat(locale2, options3.datetimeFormats[locale2]);
+        });
+      }
+    }
+    if (isObject$2(options3.numberFormats)) {
+      const locales2 = Object.keys(options3.numberFormats);
+      if (locales2.length) {
+        locales2.forEach((locale2) => {
+          gl.mergeNumberFormat(locale2, options3.numberFormats[locale2]);
+        });
+      }
+    }
+  }
+}
+__name(adjustI18nResources, "adjustI18nResources");
+function createTextNode(key) {
+  return createVNode(Text, null, key, 0);
+}
+__name(createTextNode, "createTextNode");
+const DEVTOOLS_META = "__INTLIFY_META__";
+const NOOP_RETURN_ARRAY = /* @__PURE__ */ __name(() => [], "NOOP_RETURN_ARRAY");
+const NOOP_RETURN_FALSE = /* @__PURE__ */ __name(() => false, "NOOP_RETURN_FALSE");
+let composerID = 0;
+function defineCoreMissingHandler(missing) {
+  return (ctx, locale2, key, type) => {
+    return missing(locale2, key, getCurrentInstance() || void 0, type);
+  };
+}
+__name(defineCoreMissingHandler, "defineCoreMissingHandler");
+const getMetaInfo = /* @__PURE__ */ __name(/* @__NO_SIDE_EFFECTS__ */ () => {
+  const instance = getCurrentInstance();
+  let meta = null;
+  return instance && (meta = getComponentOptions(instance)[DEVTOOLS_META]) ? { [DEVTOOLS_META]: meta } : null;
+}, "getMetaInfo");
+function createComposer(options3 = {}, VueI18nLegacy) {
+  const { __root, __injectWithOption } = options3;
+  const _isGlobal = __root === void 0;
+  const flatJson = options3.flatJson;
+  const _ref = inBrowser ? ref : shallowRef;
+  const translateExistCompatible = !!options3.translateExistCompatible;
+  if (false) {
+    if (translateExistCompatible && true) {
+      warnOnce(getWarnMessage(I18nWarnCodes.NOTICE_DROP_TRANSLATE_EXIST_COMPATIBLE_FLAG));
+    }
+  }
+  let _inheritLocale = isBoolean$1(options3.inheritLocale) ? options3.inheritLocale : true;
+  const _locale = _ref(
+    // prettier-ignore
+    __root && _inheritLocale ? __root.locale.value : isString$2(options3.locale) ? options3.locale : DEFAULT_LOCALE
+  );
+  const _fallbackLocale = _ref(
+    // prettier-ignore
+    __root && _inheritLocale ? __root.fallbackLocale.value : isString$2(options3.fallbackLocale) || isArray$1(options3.fallbackLocale) || isPlainObject(options3.fallbackLocale) || options3.fallbackLocale === false ? options3.fallbackLocale : _locale.value
+  );
+  const _messages = _ref(getLocaleMessages(_locale.value, options3));
+  const _datetimeFormats = _ref(isPlainObject(options3.datetimeFormats) ? options3.datetimeFormats : { [_locale.value]: {} });
+  const _numberFormats = _ref(isPlainObject(options3.numberFormats) ? options3.numberFormats : { [_locale.value]: {} });
+  let _missingWarn = __root ? __root.missingWarn : isBoolean$1(options3.missingWarn) || isRegExp(options3.missingWarn) ? options3.missingWarn : true;
+  let _fallbackWarn = __root ? __root.fallbackWarn : isBoolean$1(options3.fallbackWarn) || isRegExp(options3.fallbackWarn) ? options3.fallbackWarn : true;
+  let _fallbackRoot = __root ? __root.fallbackRoot : isBoolean$1(options3.fallbackRoot) ? options3.fallbackRoot : true;
+  let _fallbackFormat = !!options3.fallbackFormat;
+  let _missing = isFunction$1(options3.missing) ? options3.missing : null;
+  let _runtimeMissing = isFunction$1(options3.missing) ? defineCoreMissingHandler(options3.missing) : null;
+  let _postTranslation = isFunction$1(options3.postTranslation) ? options3.postTranslation : null;
+  let _warnHtmlMessage = __root ? __root.warnHtmlMessage : isBoolean$1(options3.warnHtmlMessage) ? options3.warnHtmlMessage : true;
+  let _escapeParameter = !!options3.escapeParameter;
+  const _modifiers = __root ? __root.modifiers : isPlainObject(options3.modifiers) ? options3.modifiers : {};
+  let _pluralRules = options3.pluralRules || __root && __root.pluralRules;
+  let _context;
+  const getCoreContext = /* @__PURE__ */ __name(() => {
+    _isGlobal && setFallbackContext(null);
+    const ctxOptions = {
+      version: VERSION,
+      locale: _locale.value,
+      fallbackLocale: _fallbackLocale.value,
+      messages: _messages.value,
+      modifiers: _modifiers,
+      pluralRules: _pluralRules,
+      missing: _runtimeMissing === null ? void 0 : _runtimeMissing,
+      missingWarn: _missingWarn,
+      fallbackWarn: _fallbackWarn,
+      fallbackFormat: _fallbackFormat,
+      unresolving: true,
+      postTranslation: _postTranslation === null ? void 0 : _postTranslation,
+      warnHtmlMessage: _warnHtmlMessage,
+      escapeParameter: _escapeParameter,
+      messageResolver: options3.messageResolver,
+      messageCompiler: options3.messageCompiler,
+      __meta: { framework: "vue" }
+    };
+    {
+      ctxOptions.datetimeFormats = _datetimeFormats.value;
+      ctxOptions.numberFormats = _numberFormats.value;
+      ctxOptions.__datetimeFormatters = isPlainObject(_context) ? _context.__datetimeFormatters : void 0;
+      ctxOptions.__numberFormatters = isPlainObject(_context) ? _context.__numberFormatters : void 0;
+    }
+    if (false) {
+      ctxOptions.__v_emitter = isPlainObject(_context) ? _context.__v_emitter : void 0;
+    }
+    const ctx = createCoreContext(ctxOptions);
+    _isGlobal && setFallbackContext(ctx);
+    return ctx;
+  }, "getCoreContext");
+  _context = getCoreContext();
+  updateFallbackLocale(_context, _locale.value, _fallbackLocale.value);
+  function trackReactivityValues() {
+    return [
+      _locale.value,
+      _fallbackLocale.value,
+      _messages.value,
+      _datetimeFormats.value,
+      _numberFormats.value
+    ];
+  }
+  __name(trackReactivityValues, "trackReactivityValues");
+  const locale2 = computed({
+    get: /* @__PURE__ */ __name(() => _locale.value, "get"),
+    set: /* @__PURE__ */ __name((val) => {
+      _locale.value = val;
+      _context.locale = _locale.value;
+    }, "set")
+  });
+  const fallbackLocale = computed({
+    get: /* @__PURE__ */ __name(() => _fallbackLocale.value, "get"),
+    set: /* @__PURE__ */ __name((val) => {
+      _fallbackLocale.value = val;
+      _context.fallbackLocale = _fallbackLocale.value;
+      updateFallbackLocale(_context, _locale.value, val);
+    }, "set")
+  });
+  const messages2 = computed(() => _messages.value);
+  const datetimeFormats = /* @__PURE__ */ computed(() => _datetimeFormats.value);
+  const numberFormats = /* @__PURE__ */ computed(() => _numberFormats.value);
+  function getPostTranslationHandler() {
+    return isFunction$1(_postTranslation) ? _postTranslation : null;
+  }
+  __name(getPostTranslationHandler, "getPostTranslationHandler");
+  function setPostTranslationHandler(handler6) {
+    _postTranslation = handler6;
+    _context.postTranslation = handler6;
+  }
+  __name(setPostTranslationHandler, "setPostTranslationHandler");
+  function getMissingHandler() {
+    return _missing;
+  }
+  __name(getMissingHandler, "getMissingHandler");
+  function setMissingHandler(handler6) {
+    if (handler6 !== null) {
+      _runtimeMissing = defineCoreMissingHandler(handler6);
+    }
+    _missing = handler6;
+    _context.missing = _runtimeMissing;
+  }
+  __name(setMissingHandler, "setMissingHandler");
+  function isResolvedTranslateMessage(type, arg) {
+    return type !== "translate" || !arg.resolvedMessage;
+  }
+  __name(isResolvedTranslateMessage, "isResolvedTranslateMessage");
+  const wrapWithDeps = /* @__PURE__ */ __name((fn, argumentParser, warnType, fallbackSuccess, fallbackFail, successCondition) => {
+    trackReactivityValues();
+    let ret;
+    try {
+      if (__INTLIFY_PROD_DEVTOOLS__) {
+        /* @__PURE__ */ setAdditionalMeta(/* @__PURE__ */ getMetaInfo());
+      }
+      if (!_isGlobal) {
+        _context.fallbackContext = __root ? getFallbackContext() : void 0;
+      }
+      ret = fn(_context);
+    } finally {
+      if (__INTLIFY_PROD_DEVTOOLS__) {
+        /* @__PURE__ */ setAdditionalMeta(null);
+      }
+      if (!_isGlobal) {
+        _context.fallbackContext = void 0;
+      }
+    }
+    if (warnType !== "translate exists" && // for not `te` (e.g `t`)
+    isNumber$1(ret) && ret === NOT_REOSLVED || warnType === "translate exists" && !ret) {
+      const [key, arg2] = argumentParser();
+      if (false) {
+        if (_fallbackRoot && (isTranslateFallbackWarn(_fallbackWarn, key) || isTranslateMissingWarn(_missingWarn, key))) {
+          warn(getWarnMessage(I18nWarnCodes.FALLBACK_TO_ROOT, {
+            key,
+            type: warnType
+          }));
+        }
+        if (false) {
+          const { __v_emitter: emitter } = _context;
+          if (emitter && _fallbackRoot) {
+            emitter.emit("fallback", {
+              type: warnType,
+              key,
+              to: "global",
+              groupId: `${warnType}:${key}`
+            });
+          }
+        }
+      }
+      return __root && _fallbackRoot ? fallbackSuccess(__root) : fallbackFail(key);
+    } else if (successCondition(ret)) {
+      return ret;
+    } else {
+      throw createI18nError(I18nErrorCodes.UNEXPECTED_RETURN_TYPE);
+    }
+  }, "wrapWithDeps");
+  function t(...args) {
+    return wrapWithDeps((context) => Reflect.apply(translate, null, [context, ...args]), () => parseTranslateArgs(...args), "translate", (root26) => Reflect.apply(root26.t, root26, [...args]), (key) => key, (val) => isString$2(val));
+  }
+  __name(t, "t");
+  function rt(...args) {
+    const [arg1, arg2, arg3] = args;
+    if (arg3 && !isObject$2(arg3)) {
+      throw createI18nError(I18nErrorCodes.INVALID_ARGUMENT);
+    }
+    return t(...[arg1, arg2, assign$1({ resolvedMessage: true }, arg3 || {})]);
+  }
+  __name(rt, "rt");
+  function d(...args) {
+    return wrapWithDeps((context) => Reflect.apply(datetime, null, [context, ...args]), () => parseDateTimeArgs(...args), "datetime format", (root26) => Reflect.apply(root26.d, root26, [...args]), () => MISSING_RESOLVE_VALUE, (val) => isString$2(val));
+  }
+  __name(d, "d");
+  function n(...args) {
+    return wrapWithDeps((context) => Reflect.apply(number, null, [context, ...args]), () => parseNumberArgs(...args), "number format", (root26) => Reflect.apply(root26.n, root26, [...args]), () => MISSING_RESOLVE_VALUE, (val) => isString$2(val));
+  }
+  __name(n, "n");
+  function normalize(values2) {
+    return values2.map((val) => isString$2(val) || isNumber$1(val) || isBoolean$1(val) ? createTextNode(String(val)) : val);
+  }
+  __name(normalize, "normalize");
+  const interpolate = /* @__PURE__ */ __name((val) => val, "interpolate");
+  const processor = {
+    normalize,
+    interpolate,
+    type: "vnode"
+  };
+  function translateVNode(...args) {
+    return wrapWithDeps(
+      (context) => {
+        let ret;
+        const _context2 = context;
+        try {
+          _context2.processor = processor;
+          ret = Reflect.apply(translate, null, [_context2, ...args]);
+        } finally {
+          _context2.processor = null;
+        }
+        return ret;
+      },
+      () => parseTranslateArgs(...args),
+      "translate",
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      (root26) => root26[TranslateVNodeSymbol](...args),
+      (key) => [createTextNode(key)],
+      (val) => isArray$1(val)
+    );
+  }
+  __name(translateVNode, "translateVNode");
+  function numberParts(...args) {
+    return wrapWithDeps(
+      (context) => Reflect.apply(number, null, [context, ...args]),
+      () => parseNumberArgs(...args),
+      "number format",
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      (root26) => root26[NumberPartsSymbol](...args),
+      NOOP_RETURN_ARRAY,
+      (val) => isString$2(val) || isArray$1(val)
+    );
+  }
+  __name(numberParts, "numberParts");
+  function datetimeParts(...args) {
+    return wrapWithDeps(
+      (context) => Reflect.apply(datetime, null, [context, ...args]),
+      () => parseDateTimeArgs(...args),
+      "datetime format",
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      (root26) => root26[DatetimePartsSymbol](...args),
+      NOOP_RETURN_ARRAY,
+      (val) => isString$2(val) || isArray$1(val)
+    );
+  }
+  __name(datetimeParts, "datetimeParts");
+  function setPluralRules(rules) {
+    _pluralRules = rules;
+    _context.pluralRules = _pluralRules;
+  }
+  __name(setPluralRules, "setPluralRules");
+  function te(key, locale22) {
+    return wrapWithDeps(() => {
+      if (!key) {
+        return false;
+      }
+      const targetLocale = isString$2(locale22) ? locale22 : _locale.value;
+      const message3 = getLocaleMessage(targetLocale);
+      const resolved = _context.messageResolver(message3, key);
+      return !translateExistCompatible ? isMessageAST(resolved) || isMessageFunction(resolved) || isString$2(resolved) : resolved != null;
+    }, () => [key], "translate exists", (root26) => {
+      return Reflect.apply(root26.te, root26, [key, locale22]);
+    }, NOOP_RETURN_FALSE, (val) => isBoolean$1(val));
+  }
+  __name(te, "te");
+  function resolveMessages(key) {
+    let messages22 = null;
+    const locales = fallbackWithLocaleChain(_context, _fallbackLocale.value, _locale.value);
+    for (let i2 = 0; i2 < locales.length; i2++) {
+      const targetLocaleMessages = _messages.value[locales[i2]] || {};
+      const messageValue = _context.messageResolver(targetLocaleMessages, key);
+      if (messageValue != null) {
+        messages22 = messageValue;
+        break;
+      }
+    }
+    return messages22;
+  }
+  __name(resolveMessages, "resolveMessages");
+  function tm(key) {
+    const messages22 = resolveMessages(key);
+    return messages22 != null ? messages22 : __root ? __root.tm(key) || {} : {};
+  }
+  __name(tm, "tm");
+  function getLocaleMessage(locale22) {
+    return _messages.value[locale22] || {};
+  }
+  __name(getLocaleMessage, "getLocaleMessage");
+  function setLocaleMessage(locale22, message3) {
+    if (flatJson) {
+      const _message = { [locale22]: message3 };
+      for (const key in _message) {
+        if (hasOwn$1(_message, key)) {
+          handleFlatJson(_message[key]);
+        }
+      }
+      message3 = _message[locale22];
+    }
+    _messages.value[locale22] = message3;
+    _context.messages = _messages.value;
+  }
+  __name(setLocaleMessage, "setLocaleMessage");
+  function mergeLocaleMessage(locale22, message3) {
+    _messages.value[locale22] = _messages.value[locale22] || {};
+    const _message = { [locale22]: message3 };
+    if (flatJson) {
+      for (const key in _message) {
+        if (hasOwn$1(_message, key)) {
+          handleFlatJson(_message[key]);
+        }
+      }
+    }
+    message3 = _message[locale22];
+    deepCopy(message3, _messages.value[locale22]);
+    _context.messages = _messages.value;
+  }
+  __name(mergeLocaleMessage, "mergeLocaleMessage");
+  function getDateTimeFormat(locale22) {
+    return _datetimeFormats.value[locale22] || {};
+  }
+  __name(getDateTimeFormat, "getDateTimeFormat");
+  function setDateTimeFormat(locale22, format2) {
+    _datetimeFormats.value[locale22] = format2;
+    _context.datetimeFormats = _datetimeFormats.value;
+    clearDateTimeFormat(_context, locale22, format2);
+  }
+  __name(setDateTimeFormat, "setDateTimeFormat");
+  function mergeDateTimeFormat(locale22, format2) {
+    _datetimeFormats.value[locale22] = assign$1(_datetimeFormats.value[locale22] || {}, format2);
+    _context.datetimeFormats = _datetimeFormats.value;
+    clearDateTimeFormat(_context, locale22, format2);
+  }
+  __name(mergeDateTimeFormat, "mergeDateTimeFormat");
+  function getNumberFormat(locale22) {
+    return _numberFormats.value[locale22] || {};
+  }
+  __name(getNumberFormat, "getNumberFormat");
+  function setNumberFormat(locale22, format2) {
+    _numberFormats.value[locale22] = format2;
+    _context.numberFormats = _numberFormats.value;
+    clearNumberFormat(_context, locale22, format2);
+  }
+  __name(setNumberFormat, "setNumberFormat");
+  function mergeNumberFormat(locale22, format2) {
+    _numberFormats.value[locale22] = assign$1(_numberFormats.value[locale22] || {}, format2);
+    _context.numberFormats = _numberFormats.value;
+    clearNumberFormat(_context, locale22, format2);
+  }
+  __name(mergeNumberFormat, "mergeNumberFormat");
+  composerID++;
+  if (__root && inBrowser) {
+    watch(__root.locale, (val) => {
+      if (_inheritLocale) {
+        _locale.value = val;
+        _context.locale = val;
+        updateFallbackLocale(_context, _locale.value, _fallbackLocale.value);
+      }
+    });
+    watch(__root.fallbackLocale, (val) => {
+      if (_inheritLocale) {
+        _fallbackLocale.value = val;
+        _context.fallbackLocale = val;
+        updateFallbackLocale(_context, _locale.value, _fallbackLocale.value);
+      }
+    });
+  }
+  const composer = {
+    id: composerID,
+    locale: locale2,
+    fallbackLocale,
+    get inheritLocale() {
+      return _inheritLocale;
+    },
+    set inheritLocale(val) {
+      _inheritLocale = val;
+      if (val && __root) {
+        _locale.value = __root.locale.value;
+        _fallbackLocale.value = __root.fallbackLocale.value;
+        updateFallbackLocale(_context, _locale.value, _fallbackLocale.value);
+      }
+    },
+    get availableLocales() {
+      return Object.keys(_messages.value).sort();
+    },
+    messages: messages2,
+    get modifiers() {
+      return _modifiers;
+    },
+    get pluralRules() {
+      return _pluralRules || {};
+    },
+    get isGlobal() {
+      return _isGlobal;
+    },
+    get missingWarn() {
+      return _missingWarn;
+    },
+    set missingWarn(val) {
+      _missingWarn = val;
+      _context.missingWarn = _missingWarn;
+    },
+    get fallbackWarn() {
+      return _fallbackWarn;
+    },
+    set fallbackWarn(val) {
+      _fallbackWarn = val;
+      _context.fallbackWarn = _fallbackWarn;
+    },
+    get fallbackRoot() {
+      return _fallbackRoot;
+    },
+    set fallbackRoot(val) {
+      _fallbackRoot = val;
+    },
+    get fallbackFormat() {
+      return _fallbackFormat;
+    },
+    set fallbackFormat(val) {
+      _fallbackFormat = val;
+      _context.fallbackFormat = _fallbackFormat;
+    },
+    get warnHtmlMessage() {
+      return _warnHtmlMessage;
+    },
+    set warnHtmlMessage(val) {
+      _warnHtmlMessage = val;
+      _context.warnHtmlMessage = val;
+    },
+    get escapeParameter() {
+      return _escapeParameter;
+    },
+    set escapeParameter(val) {
+      _escapeParameter = val;
+      _context.escapeParameter = val;
+    },
+    t,
+    getLocaleMessage,
+    setLocaleMessage,
+    mergeLocaleMessage,
+    getPostTranslationHandler,
+    setPostTranslationHandler,
+    getMissingHandler,
+    setMissingHandler,
+    [SetPluralRulesSymbol]: setPluralRules
+  };
+  {
+    composer.datetimeFormats = datetimeFormats;
+    composer.numberFormats = numberFormats;
+    composer.rt = rt;
+    composer.te = te;
+    composer.tm = tm;
+    composer.d = d;
+    composer.n = n;
+    composer.getDateTimeFormat = getDateTimeFormat;
+    composer.setDateTimeFormat = setDateTimeFormat;
+    composer.mergeDateTimeFormat = mergeDateTimeFormat;
+    composer.getNumberFormat = getNumberFormat;
+    composer.setNumberFormat = setNumberFormat;
+    composer.mergeNumberFormat = mergeNumberFormat;
+    composer[InejctWithOptionSymbol] = __injectWithOption;
+    composer[TranslateVNodeSymbol] = translateVNode;
+    composer[DatetimePartsSymbol] = datetimeParts;
+    composer[NumberPartsSymbol] = numberParts;
+  }
+  if (false) {
+    composer[EnableEmitter] = (emitter) => {
+      _context.__v_emitter = emitter;
+    };
+    composer[DisableEmitter] = () => {
+      _context.__v_emitter = void 0;
+    };
+  }
+  return composer;
+}
+__name(createComposer, "createComposer");
+function convertComposerOptions(options3) {
+  const locale2 = isString$2(options3.locale) ? options3.locale : DEFAULT_LOCALE;
+  const fallbackLocale = isString$2(options3.fallbackLocale) || isArray$1(options3.fallbackLocale) || isPlainObject(options3.fallbackLocale) || options3.fallbackLocale === false ? options3.fallbackLocale : locale2;
+  const missing = isFunction$1(options3.missing) ? options3.missing : void 0;
+  const missingWarn = isBoolean$1(options3.silentTranslationWarn) || isRegExp(options3.silentTranslationWarn) ? !options3.silentTranslationWarn : true;
+  const fallbackWarn = isBoolean$1(options3.silentFallbackWarn) || isRegExp(options3.silentFallbackWarn) ? !options3.silentFallbackWarn : true;
+  const fallbackRoot = isBoolean$1(options3.fallbackRoot) ? options3.fallbackRoot : true;
+  const fallbackFormat = !!options3.formatFallbackMessages;
+  const modifiers = isPlainObject(options3.modifiers) ? options3.modifiers : {};
+  const pluralizationRules = options3.pluralizationRules;
+  const postTranslation = isFunction$1(options3.postTranslation) ? options3.postTranslation : void 0;
+  const warnHtmlMessage = isString$2(options3.warnHtmlInMessage) ? options3.warnHtmlInMessage !== "off" : true;
+  const escapeParameter = !!options3.escapeParameterHtml;
+  const inheritLocale = isBoolean$1(options3.sync) ? options3.sync : true;
+  if (false) {
+    warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_FORMATTER));
+  }
+  if (false) {
+    warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_PRESERVE_DIRECTIVE));
+  }
+  let messages2 = options3.messages;
+  if (isPlainObject(options3.sharedMessages)) {
+    const sharedMessages = options3.sharedMessages;
+    const locales = Object.keys(sharedMessages);
+    messages2 = locales.reduce((messages22, locale22) => {
+      const message3 = messages22[locale22] || (messages22[locale22] = {});
+      assign$1(message3, sharedMessages[locale22]);
+      return messages22;
+    }, messages2 || {});
+  }
+  const { __i18n, __root, __injectWithOption } = options3;
+  const datetimeFormats = options3.datetimeFormats;
+  const numberFormats = options3.numberFormats;
+  const flatJson = options3.flatJson;
+  const translateExistCompatible = options3.translateExistCompatible;
+  return {
+    locale: locale2,
+    fallbackLocale,
+    messages: messages2,
+    flatJson,
+    datetimeFormats,
+    numberFormats,
+    missing,
+    missingWarn,
+    fallbackWarn,
+    fallbackRoot,
+    fallbackFormat,
+    modifiers,
+    pluralRules: pluralizationRules,
+    postTranslation,
+    warnHtmlMessage,
+    escapeParameter,
+    messageResolver: options3.messageResolver,
+    inheritLocale,
+    translateExistCompatible,
+    __i18n,
+    __root,
+    __injectWithOption
+  };
+}
+__name(convertComposerOptions, "convertComposerOptions");
+function createVueI18n(options3 = {}, VueI18nLegacy) {
+  {
+    const composer = createComposer(convertComposerOptions(options3));
+    const { __extender } = options3;
+    const vueI18n = {
+      // id
+      id: composer.id,
+      // locale
+      get locale() {
+        return composer.locale.value;
+      },
+      set locale(val) {
+        composer.locale.value = val;
+      },
+      // fallbackLocale
+      get fallbackLocale() {
+        return composer.fallbackLocale.value;
+      },
+      set fallbackLocale(val) {
+        composer.fallbackLocale.value = val;
+      },
+      // messages
+      get messages() {
+        return composer.messages.value;
+      },
+      // datetimeFormats
+      get datetimeFormats() {
+        return composer.datetimeFormats.value;
+      },
+      // numberFormats
+      get numberFormats() {
+        return composer.numberFormats.value;
+      },
+      // availableLocales
+      get availableLocales() {
+        return composer.availableLocales;
+      },
+      // formatter
+      get formatter() {
+        return {
+          interpolate() {
+            return [];
+          }
+        };
+      },
+      set formatter(val) {
+      },
+      // missing
+      get missing() {
+        return composer.getMissingHandler();
+      },
+      set missing(handler6) {
+        composer.setMissingHandler(handler6);
+      },
+      // silentTranslationWarn
+      get silentTranslationWarn() {
+        return isBoolean$1(composer.missingWarn) ? !composer.missingWarn : composer.missingWarn;
+      },
+      set silentTranslationWarn(val) {
+        composer.missingWarn = isBoolean$1(val) ? !val : val;
+      },
+      // silentFallbackWarn
+      get silentFallbackWarn() {
+        return isBoolean$1(composer.fallbackWarn) ? !composer.fallbackWarn : composer.fallbackWarn;
+      },
+      set silentFallbackWarn(val) {
+        composer.fallbackWarn = isBoolean$1(val) ? !val : val;
+      },
+      // modifiers
+      get modifiers() {
+        return composer.modifiers;
+      },
+      // formatFallbackMessages
+      get formatFallbackMessages() {
+        return composer.fallbackFormat;
+      },
+      set formatFallbackMessages(val) {
+        composer.fallbackFormat = val;
+      },
+      // postTranslation
+      get postTranslation() {
+        return composer.getPostTranslationHandler();
+      },
+      set postTranslation(handler6) {
+        composer.setPostTranslationHandler(handler6);
+      },
+      // sync
+      get sync() {
+        return composer.inheritLocale;
+      },
+      set sync(val) {
+        composer.inheritLocale = val;
+      },
+      // warnInHtmlMessage
+      get warnHtmlInMessage() {
+        return composer.warnHtmlMessage ? "warn" : "off";
+      },
+      set warnHtmlInMessage(val) {
+        composer.warnHtmlMessage = val !== "off";
+      },
+      // escapeParameterHtml
+      get escapeParameterHtml() {
+        return composer.escapeParameter;
+      },
+      set escapeParameterHtml(val) {
+        composer.escapeParameter = val;
+      },
+      // preserveDirectiveContent
+      get preserveDirectiveContent() {
+        return true;
+      },
+      set preserveDirectiveContent(val) {
+      },
+      // pluralizationRules
+      get pluralizationRules() {
+        return composer.pluralRules || {};
+      },
+      // for internal
+      __composer: composer,
+      // t
+      t(...args) {
+        const [arg1, arg2, arg3] = args;
+        const options22 = {};
+        let list = null;
+        let named = null;
+        if (!isString$2(arg1)) {
+          throw createI18nError(I18nErrorCodes.INVALID_ARGUMENT);
+        }
+        const key = arg1;
+        if (isString$2(arg2)) {
+          options22.locale = arg2;
+        } else if (isArray$1(arg2)) {
+          list = arg2;
+        } else if (isPlainObject(arg2)) {
+          named = arg2;
+        }
+        if (isArray$1(arg3)) {
+          list = arg3;
+        } else if (isPlainObject(arg3)) {
+          named = arg3;
+        }
+        return Reflect.apply(composer.t, composer, [
+          key,
+          list || named || {},
+          options22
+        ]);
+      },
+      rt(...args) {
+        return Reflect.apply(composer.rt, composer, [...args]);
+      },
+      // tc
+      tc(...args) {
+        const [arg1, arg2, arg3] = args;
+        const options22 = { plural: 1 };
+        let list = null;
+        let named = null;
+        if (!isString$2(arg1)) {
+          throw createI18nError(I18nErrorCodes.INVALID_ARGUMENT);
+        }
+        const key = arg1;
+        if (isString$2(arg2)) {
+          options22.locale = arg2;
+        } else if (isNumber$1(arg2)) {
+          options22.plural = arg2;
+        } else if (isArray$1(arg2)) {
+          list = arg2;
+        } else if (isPlainObject(arg2)) {
+          named = arg2;
+        }
+        if (isString$2(arg3)) {
+          options22.locale = arg3;
+        } else if (isArray$1(arg3)) {
+          list = arg3;
+        } else if (isPlainObject(arg3)) {
+          named = arg3;
+        }
+        return Reflect.apply(composer.t, composer, [
+          key,
+          list || named || {},
+          options22
+        ]);
+      },
+      // te
+      te(key, locale2) {
+        return composer.te(key, locale2);
+      },
+      // tm
+      tm(key) {
+        return composer.tm(key);
+      },
+      // getLocaleMessage
+      getLocaleMessage(locale2) {
+        return composer.getLocaleMessage(locale2);
+      },
+      // setLocaleMessage
+      setLocaleMessage(locale2, message3) {
+        composer.setLocaleMessage(locale2, message3);
+      },
+      // mergeLocaleMessage
+      mergeLocaleMessage(locale2, message3) {
+        composer.mergeLocaleMessage(locale2, message3);
+      },
+      // d
+      d(...args) {
+        return Reflect.apply(composer.d, composer, [...args]);
+      },
+      // getDateTimeFormat
+      getDateTimeFormat(locale2) {
+        return composer.getDateTimeFormat(locale2);
+      },
+      // setDateTimeFormat
+      setDateTimeFormat(locale2, format2) {
+        composer.setDateTimeFormat(locale2, format2);
+      },
+      // mergeDateTimeFormat
+      mergeDateTimeFormat(locale2, format2) {
+        composer.mergeDateTimeFormat(locale2, format2);
+      },
+      // n
+      n(...args) {
+        return Reflect.apply(composer.n, composer, [...args]);
+      },
+      // getNumberFormat
+      getNumberFormat(locale2) {
+        return composer.getNumberFormat(locale2);
+      },
+      // setNumberFormat
+      setNumberFormat(locale2, format2) {
+        composer.setNumberFormat(locale2, format2);
+      },
+      // mergeNumberFormat
+      mergeNumberFormat(locale2, format2) {
+        composer.mergeNumberFormat(locale2, format2);
+      },
+      // getChoiceIndex
+      // eslint-disable-next-line @typescript-eslint/no-unused-vars
+      getChoiceIndex(choice, choicesLength) {
+        return -1;
+      }
+    };
+    vueI18n.__extender = __extender;
+    if (false) {
+      vueI18n.__enableEmitter = (emitter) => {
+        const __composer = composer;
+        __composer[EnableEmitter] && __composer[EnableEmitter](emitter);
+      };
+      vueI18n.__disableEmitter = () => {
+        const __composer = composer;
+        __composer[DisableEmitter] && __composer[DisableEmitter]();
+      };
+    }
+    return vueI18n;
+  }
+}
+__name(createVueI18n, "createVueI18n");
+const baseFormatProps = {
+  tag: {
+    type: [String, Object]
+  },
+  locale: {
+    type: String
+  },
+  scope: {
+    type: String,
+    // NOTE: avoid https://github.com/microsoft/rushstack/issues/1050
+    validator: /* @__PURE__ */ __name((val) => val === "parent" || val === "global", "validator"),
+    default: "parent"
+    /* ComponentI18nScope */
+  },
+  i18n: {
+    type: Object
+  }
+};
+function getInterpolateArg({ slots }, keys2) {
+  if (keys2.length === 1 && keys2[0] === "default") {
+    const ret = slots.default ? slots.default() : [];
+    return ret.reduce((slot, current) => {
+      return [
+        ...slot,
+        // prettier-ignore
+        ...current.type === Fragment ? current.children : [current]
+      ];
+    }, []);
+  } else {
+    return keys2.reduce((arg, key) => {
+      const slot = slots[key];
+      if (slot) {
+        arg[key] = slot();
+      }
+      return arg;
+    }, {});
+  }
+}
+__name(getInterpolateArg, "getInterpolateArg");
+function getFragmentableTag(tag) {
+  return Fragment;
+}
+__name(getFragmentableTag, "getFragmentableTag");
+const TranslationImpl = /* @__PURE__ */ defineComponent({
+  /* eslint-disable */
+  name: "i18n-t",
+  props: assign$1({
+    keypath: {
+      type: String,
+      required: true
+    },
+    plural: {
+      type: [Number, String],
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      validator: /* @__PURE__ */ __name((val) => isNumber$1(val) || !isNaN(val), "validator")
+    }
+  }, baseFormatProps),
+  /* eslint-enable */
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  setup(props, context) {
+    const { slots, attrs: attrs3 } = context;
+    const i18n2 = props.i18n || useI18n({
+      useScope: props.scope,
+      __useComponent: true
+    });
+    return () => {
+      const keys2 = Object.keys(slots).filter((key) => key !== "_");
+      const options3 = {};
+      if (props.locale) {
+        options3.locale = props.locale;
+      }
+      if (props.plural !== void 0) {
+        options3.plural = isString$2(props.plural) ? +props.plural : props.plural;
+      }
+      const arg = getInterpolateArg(context, keys2);
+      const children = i18n2[TranslateVNodeSymbol](props.keypath, arg, options3);
+      const assignedAttrs = assign$1({}, attrs3);
+      const tag = isString$2(props.tag) || isObject$2(props.tag) ? props.tag : getFragmentableTag();
+      return h(tag, assignedAttrs, children);
+    };
+  }
+});
+const Translation = TranslationImpl;
+const I18nT = Translation;
+function isVNode(target) {
+  return isArray$1(target) && !isString$2(target[0]);
+}
+__name(isVNode, "isVNode");
+function renderFormatter(props, context, slotKeys, partFormatter) {
+  const { slots, attrs: attrs3 } = context;
+  return () => {
+    const options3 = { part: true };
+    let overrides = {};
+    if (props.locale) {
+      options3.locale = props.locale;
+    }
+    if (isString$2(props.format)) {
+      options3.key = props.format;
+    } else if (isObject$2(props.format)) {
+      if (isString$2(props.format.key)) {
+        options3.key = props.format.key;
+      }
+      overrides = Object.keys(props.format).reduce((options22, prop2) => {
+        return slotKeys.includes(prop2) ? assign$1({}, options22, { [prop2]: props.format[prop2] }) : options22;
+      }, {});
+    }
+    const parts2 = partFormatter(...[props.value, options3, overrides]);
+    let children = [options3.key];
+    if (isArray$1(parts2)) {
+      children = parts2.map((part, index2) => {
+        const slot = slots[part.type];
+        const node3 = slot ? slot({ [part.type]: part.value, index: index2, parts: parts2 }) : [part.value];
+        if (isVNode(node3)) {
+          node3[0].key = `${part.type}-${index2}`;
+        }
+        return node3;
+      });
+    } else if (isString$2(parts2)) {
+      children = [parts2];
+    }
+    const assignedAttrs = assign$1({}, attrs3);
+    const tag = isString$2(props.tag) || isObject$2(props.tag) ? props.tag : getFragmentableTag();
+    return h(tag, assignedAttrs, children);
+  };
+}
+__name(renderFormatter, "renderFormatter");
+const NumberFormatImpl = /* @__PURE__ */ defineComponent({
+  /* eslint-disable */
+  name: "i18n-n",
+  props: assign$1({
+    value: {
+      type: Number,
+      required: true
+    },
+    format: {
+      type: [String, Object]
+    }
+  }, baseFormatProps),
+  /* eslint-enable */
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  setup(props, context) {
+    const i18n2 = props.i18n || useI18n({
+      useScope: props.scope,
+      __useComponent: true
+    });
+    return renderFormatter(props, context, NUMBER_FORMAT_OPTIONS_KEYS, (...args) => (
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      i18n2[NumberPartsSymbol](...args)
+    ));
+  }
+});
+const NumberFormat = NumberFormatImpl;
+const I18nN = NumberFormat;
+const DatetimeFormatImpl = /* @__PURE__ */ defineComponent({
+  /* eslint-disable */
+  name: "i18n-d",
+  props: assign$1({
+    value: {
+      type: [Number, Date],
+      required: true
+    },
+    format: {
+      type: [String, Object]
+    }
+  }, baseFormatProps),
+  /* eslint-enable */
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  setup(props, context) {
+    const i18n2 = props.i18n || useI18n({
+      useScope: props.scope,
+      __useComponent: true
+    });
+    return renderFormatter(props, context, DATETIME_FORMAT_OPTIONS_KEYS, (...args) => (
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      i18n2[DatetimePartsSymbol](...args)
+    ));
+  }
+});
+const DatetimeFormat = DatetimeFormatImpl;
+const I18nD = DatetimeFormat;
+function getComposer$2(i18n2, instance) {
+  const i18nInternal = i18n2;
+  if (i18n2.mode === "composition") {
+    return i18nInternal.__getInstance(instance) || i18n2.global;
+  } else {
+    const vueI18n = i18nInternal.__getInstance(instance);
+    return vueI18n != null ? vueI18n.__composer : i18n2.global.__composer;
+  }
+}
+__name(getComposer$2, "getComposer$2");
+function vTDirective(i18n2) {
+  const _process = /* @__PURE__ */ __name((binding) => {
+    const { instance, modifiers, value: value3 } = binding;
+    if (!instance || !instance.$) {
+      throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);
+    }
+    const composer = getComposer$2(i18n2, instance.$);
+    if (false) {
+      warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_PRESERVE));
+    }
+    const parsedValue = parseValue(value3);
+    return [
+      Reflect.apply(composer.t, composer, [...makeParams(parsedValue)]),
+      composer
+    ];
+  }, "_process");
+  const register3 = /* @__PURE__ */ __name((el, binding) => {
+    const [textContent, composer] = _process(binding);
+    if (inBrowser && i18n2.global === composer) {
+      el.__i18nWatcher = watch(composer.locale, () => {
+        binding.instance && binding.instance.$forceUpdate();
+      });
+    }
+    el.__composer = composer;
+    el.textContent = textContent;
+  }, "register");
+  const unregister = /* @__PURE__ */ __name((el) => {
+    if (inBrowser && el.__i18nWatcher) {
+      el.__i18nWatcher();
+      el.__i18nWatcher = void 0;
+      delete el.__i18nWatcher;
+    }
+    if (el.__composer) {
+      el.__composer = void 0;
+      delete el.__composer;
+    }
+  }, "unregister");
+  const update2 = /* @__PURE__ */ __name((el, { value: value3 }) => {
+    if (el.__composer) {
+      const composer = el.__composer;
+      const parsedValue = parseValue(value3);
+      el.textContent = Reflect.apply(composer.t, composer, [
+        ...makeParams(parsedValue)
+      ]);
+    }
+  }, "update");
+  const getSSRProps = /* @__PURE__ */ __name((binding) => {
+    const [textContent] = _process(binding);
+    return { textContent };
+  }, "getSSRProps");
+  return {
+    created: register3,
+    unmounted: unregister,
+    beforeUpdate: update2,
+    getSSRProps
+  };
+}
+__name(vTDirective, "vTDirective");
+function parseValue(value3) {
+  if (isString$2(value3)) {
+    return { path: value3 };
+  } else if (isPlainObject(value3)) {
+    if (!("path" in value3)) {
+      throw createI18nError(I18nErrorCodes.REQUIRED_VALUE, "path");
+    }
+    return value3;
+  } else {
+    throw createI18nError(I18nErrorCodes.INVALID_VALUE);
+  }
+}
+__name(parseValue, "parseValue");
+function makeParams(value3) {
+  const { path, locale: locale2, args, choice, plural } = value3;
+  const options3 = {};
+  const named = args || {};
+  if (isString$2(locale2)) {
+    options3.locale = locale2;
+  }
+  if (isNumber$1(choice)) {
+    options3.plural = choice;
+  }
+  if (isNumber$1(plural)) {
+    options3.plural = plural;
+  }
+  return [path, named, options3];
+}
+__name(makeParams, "makeParams");
+function apply(app2, i18n2, ...options3) {
+  const pluginOptions = isPlainObject(options3[0]) ? options3[0] : {};
+  const useI18nComponentName = !!pluginOptions.useI18nComponentName;
+  const globalInstall = isBoolean$1(pluginOptions.globalInstall) ? pluginOptions.globalInstall : true;
+  if (false) {
+    warn(getWarnMessage(I18nWarnCodes.COMPONENT_NAME_LEGACY_COMPATIBLE, {
+      name: Translation.name
+    }));
+  }
+  if (globalInstall) {
+    [!useI18nComponentName ? Translation.name : "i18n", "I18nT"].forEach((name) => app2.component(name, Translation));
+    [NumberFormat.name, "I18nN"].forEach((name) => app2.component(name, NumberFormat));
+    [DatetimeFormat.name, "I18nD"].forEach((name) => app2.component(name, DatetimeFormat));
+  }
+  {
+    app2.directive("t", vTDirective(i18n2));
+  }
+}
+__name(apply, "apply");
+const VueDevToolsLabels = {
+  [
+    "vue-devtools-plugin-vue-i18n"
+    /* VueDevToolsIDs.PLUGIN */
+  ]: "Vue I18n devtools",
+  [
+    "vue-i18n-resource-inspector"
+    /* VueDevToolsIDs.CUSTOM_INSPECTOR */
+  ]: "I18n Resources",
+  [
+    "vue-i18n-timeline"
+    /* VueDevToolsIDs.TIMELINE */
+  ]: "Vue I18n"
+};
+const VueDevToolsPlaceholders = {
+  [
+    "vue-i18n-resource-inspector"
+    /* VueDevToolsIDs.CUSTOM_INSPECTOR */
+  ]: "Search for scopes ..."
+};
+const VueDevToolsTimelineColors = {
+  [
+    "vue-i18n-timeline"
+    /* VueDevToolsIDs.TIMELINE */
+  ]: 16764185
+};
+const VUE_I18N_COMPONENT_TYPES = "vue-i18n: composer properties";
+let devtoolsApi;
+async function enableDevTools(app2, i18n2) {
+  return new Promise((resolve8, reject2) => {
+    try {
+      setupDevtoolsPlugin({
+        id: "vue-devtools-plugin-vue-i18n",
+        label: VueDevToolsLabels[
+          "vue-devtools-plugin-vue-i18n"
+          /* VueDevToolsIDs.PLUGIN */
+        ],
+        packageName: "vue-i18n",
+        homepage: "https://vue-i18n.intlify.dev",
+        logo: "https://vue-i18n.intlify.dev/vue-i18n-devtools-logo.png",
+        componentStateTypes: [VUE_I18N_COMPONENT_TYPES],
+        app: app2
+        // eslint-disable-line @typescript-eslint/no-explicit-any
+      }, (api2) => {
+        devtoolsApi = api2;
+        api2.on.visitComponentTree(({ componentInstance, treeNode }) => {
+          updateComponentTreeTags(componentInstance, treeNode, i18n2);
+        });
+        api2.on.inspectComponent(({ componentInstance, instanceData }) => {
+          if (componentInstance.vnode.el && componentInstance.vnode.el.__VUE_I18N__ && instanceData) {
+            if (i18n2.mode === "legacy") {
+              if (componentInstance.vnode.el.__VUE_I18N__ !== i18n2.global.__composer) {
+                inspectComposer(instanceData, componentInstance.vnode.el.__VUE_I18N__);
+              }
+            } else {
+              inspectComposer(instanceData, componentInstance.vnode.el.__VUE_I18N__);
+            }
+          }
+        });
+        api2.addInspector({
+          id: "vue-i18n-resource-inspector",
+          label: VueDevToolsLabels[
+            "vue-i18n-resource-inspector"
+            /* VueDevToolsIDs.CUSTOM_INSPECTOR */
+          ],
+          icon: "language",
+          treeFilterPlaceholder: VueDevToolsPlaceholders[
+            "vue-i18n-resource-inspector"
+            /* VueDevToolsIDs.CUSTOM_INSPECTOR */
+          ]
+        });
+        api2.on.getInspectorTree((payload) => {
+          if (payload.app === app2 && payload.inspectorId === "vue-i18n-resource-inspector") {
+            registerScope(payload, i18n2);
+          }
+        });
+        const roots = /* @__PURE__ */ new Map();
+        api2.on.getInspectorState(async (payload) => {
+          if (payload.app === app2 && payload.inspectorId === "vue-i18n-resource-inspector") {
+            api2.unhighlightElement();
+            inspectScope(payload, i18n2);
+            if (payload.nodeId === "global") {
+              if (!roots.has(payload.app)) {
+                const [root26] = await api2.getComponentInstances(payload.app);
+                roots.set(payload.app, root26);
+              }
+              api2.highlightElement(roots.get(payload.app));
+            } else {
+              const instance = getComponentInstance(payload.nodeId, i18n2);
+              instance && api2.highlightElement(instance);
+            }
+          }
+        });
+        api2.on.editInspectorState((payload) => {
+          if (payload.app === app2 && payload.inspectorId === "vue-i18n-resource-inspector") {
+            editScope(payload, i18n2);
+          }
+        });
+        api2.addTimelineLayer({
+          id: "vue-i18n-timeline",
+          label: VueDevToolsLabels[
+            "vue-i18n-timeline"
+            /* VueDevToolsIDs.TIMELINE */
+          ],
+          color: VueDevToolsTimelineColors[
+            "vue-i18n-timeline"
+            /* VueDevToolsIDs.TIMELINE */
+          ]
+        });
+        resolve8(true);
+      });
+    } catch (e) {
+      console.error(e);
+      reject2(false);
+    }
+  });
+}
+__name(enableDevTools, "enableDevTools");
+function getI18nScopeLable(instance) {
+  return instance.type.name || instance.type.displayName || instance.type.__file || "Anonymous";
+}
+__name(getI18nScopeLable, "getI18nScopeLable");
+function updateComponentTreeTags(instance, treeNode, i18n2) {
+  const global2 = i18n2.mode === "composition" ? i18n2.global : i18n2.global.__composer;
+  if (instance && instance.vnode.el && instance.vnode.el.__VUE_I18N__) {
+    if (instance.vnode.el.__VUE_I18N__ !== global2) {
+      const tag = {
+        label: `i18n (${getI18nScopeLable(instance)} Scope)`,
+        textColor: 0,
+        backgroundColor: 16764185
+      };
+      treeNode.tags.push(tag);
+    }
+  }
+}
+__name(updateComponentTreeTags, "updateComponentTreeTags");
+function inspectComposer(instanceData, composer) {
+  const type = VUE_I18N_COMPONENT_TYPES;
+  instanceData.state.push({
+    type,
+    key: "locale",
+    editable: true,
+    value: composer.locale.value
+  });
+  instanceData.state.push({
+    type,
+    key: "availableLocales",
+    editable: false,
+    value: composer.availableLocales
+  });
+  instanceData.state.push({
+    type,
+    key: "fallbackLocale",
+    editable: true,
+    value: composer.fallbackLocale.value
+  });
+  instanceData.state.push({
+    type,
+    key: "inheritLocale",
+    editable: true,
+    value: composer.inheritLocale
+  });
+  instanceData.state.push({
+    type,
+    key: "messages",
+    editable: false,
+    value: getLocaleMessageValue(composer.messages.value)
+  });
+  {
+    instanceData.state.push({
+      type,
+      key: "datetimeFormats",
+      editable: false,
+      value: composer.datetimeFormats.value
+    });
+    instanceData.state.push({
+      type,
+      key: "numberFormats",
+      editable: false,
+      value: composer.numberFormats.value
+    });
+  }
+}
+__name(inspectComposer, "inspectComposer");
+function getLocaleMessageValue(messages2) {
+  const value3 = {};
+  Object.keys(messages2).forEach((key) => {
+    const v2 = messages2[key];
+    if (isFunction$1(v2) && "source" in v2) {
+      value3[key] = getMessageFunctionDetails(v2);
+    } else if (isMessageAST(v2) && v2.loc && v2.loc.source) {
+      value3[key] = v2.loc.source;
+    } else if (isObject$2(v2)) {
+      value3[key] = getLocaleMessageValue(v2);
+    } else {
+      value3[key] = v2;
+    }
+  });
+  return value3;
+}
+__name(getLocaleMessageValue, "getLocaleMessageValue");
+const ESC = {
+  "<": "&lt;",
+  ">": "&gt;",
+  '"': "&quot;",
+  "&": "&amp;"
+};
+function escape$1(s) {
+  return s.replace(/[<>"&]/g, escapeChar);
+}
+__name(escape$1, "escape$1");
+function escapeChar(a) {
+  return ESC[a] || a;
+}
+__name(escapeChar, "escapeChar");
+function getMessageFunctionDetails(func) {
+  const argString = func.source ? `("${escape$1(func.source)}")` : `(?)`;
+  return {
+    _custom: {
+      type: "function",
+      display: `<span>ƒ</span> ${argString}`
+    }
+  };
+}
+__name(getMessageFunctionDetails, "getMessageFunctionDetails");
+function registerScope(payload, i18n2) {
+  payload.rootNodes.push({
+    id: "global",
+    label: "Global Scope"
+  });
+  const global2 = i18n2.mode === "composition" ? i18n2.global : i18n2.global.__composer;
+  for (const [keyInstance, instance] of i18n2.__instances) {
+    const composer = i18n2.mode === "composition" ? instance : instance.__composer;
+    if (global2 === composer) {
+      continue;
+    }
+    payload.rootNodes.push({
+      id: composer.id.toString(),
+      label: `${getI18nScopeLable(keyInstance)} Scope`
+    });
+  }
+}
+__name(registerScope, "registerScope");
+function getComponentInstance(nodeId, i18n2) {
+  let instance = null;
+  if (nodeId !== "global") {
+    for (const [component, composer] of i18n2.__instances.entries()) {
+      if (composer.id.toString() === nodeId) {
+        instance = component;
+        break;
+      }
+    }
+  }
+  return instance;
+}
+__name(getComponentInstance, "getComponentInstance");
+function getComposer$1(nodeId, i18n2) {
+  if (nodeId === "global") {
+    return i18n2.mode === "composition" ? i18n2.global : i18n2.global.__composer;
+  } else {
+    const instance = Array.from(i18n2.__instances.values()).find((item2) => item2.id.toString() === nodeId);
+    if (instance) {
+      return i18n2.mode === "composition" ? instance : instance.__composer;
+    } else {
+      return null;
+    }
+  }
+}
+__name(getComposer$1, "getComposer$1");
+function inspectScope(payload, i18n2) {
+  const composer = getComposer$1(payload.nodeId, i18n2);
+  if (composer) {
+    payload.state = makeScopeInspectState(composer);
+  }
+  return null;
+}
+__name(inspectScope, "inspectScope");
+function makeScopeInspectState(composer) {
+  const state = {};
+  const localeType = "Locale related info";
+  const localeStates = [
+    {
+      type: localeType,
+      key: "locale",
+      editable: true,
+      value: composer.locale.value
+    },
+    {
+      type: localeType,
+      key: "fallbackLocale",
+      editable: true,
+      value: composer.fallbackLocale.value
+    },
+    {
+      type: localeType,
+      key: "availableLocales",
+      editable: false,
+      value: composer.availableLocales
+    },
+    {
+      type: localeType,
+      key: "inheritLocale",
+      editable: true,
+      value: composer.inheritLocale
+    }
+  ];
+  state[localeType] = localeStates;
+  const localeMessagesType = "Locale messages info";
+  const localeMessagesStates = [
+    {
+      type: localeMessagesType,
+      key: "messages",
+      editable: false,
+      value: getLocaleMessageValue(composer.messages.value)
+    }
+  ];
+  state[localeMessagesType] = localeMessagesStates;
+  {
+    const datetimeFormatsType = "Datetime formats info";
+    const datetimeFormatsStates = [
+      {
+        type: datetimeFormatsType,
+        key: "datetimeFormats",
+        editable: false,
+        value: composer.datetimeFormats.value
+      }
+    ];
+    state[datetimeFormatsType] = datetimeFormatsStates;
+    const numberFormatsType = "Datetime formats info";
+    const numberFormatsStates = [
+      {
+        type: numberFormatsType,
+        key: "numberFormats",
+        editable: false,
+        value: composer.numberFormats.value
+      }
+    ];
+    state[numberFormatsType] = numberFormatsStates;
+  }
+  return state;
+}
+__name(makeScopeInspectState, "makeScopeInspectState");
+function addTimelineEvent(event2, payload) {
+  if (devtoolsApi) {
+    let groupId;
+    if (payload && "groupId" in payload) {
+      groupId = payload.groupId;
+      delete payload.groupId;
+    }
+    devtoolsApi.addTimelineEvent({
+      layerId: "vue-i18n-timeline",
+      event: {
+        title: event2,
+        groupId,
+        time: Date.now(),
+        meta: {},
+        data: payload || {},
+        logType: event2 === "compile-error" ? "error" : event2 === "fallback" || event2 === "missing" ? "warning" : "default"
+      }
+    });
+  }
+}
+__name(addTimelineEvent, "addTimelineEvent");
+function editScope(payload, i18n2) {
+  const composer = getComposer$1(payload.nodeId, i18n2);
+  if (composer) {
+    const [field] = payload.path;
+    if (field === "locale" && isString$2(payload.state.value)) {
+      composer.locale.value = payload.state.value;
+    } else if (field === "fallbackLocale" && (isString$2(payload.state.value) || isArray$1(payload.state.value) || isObject$2(payload.state.value))) {
+      composer.fallbackLocale.value = payload.state.value;
+    } else if (field === "inheritLocale" && isBoolean$1(payload.state.value)) {
+      composer.inheritLocale = payload.state.value;
+    }
+  }
+}
+__name(editScope, "editScope");
+function defineMixin(vuei18n, composer, i18n2) {
+  return {
+    beforeCreate() {
+      const instance = getCurrentInstance();
+      if (!instance) {
+        throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);
+      }
+      const options3 = this.$options;
+      if (options3.i18n) {
+        const optionsI18n = options3.i18n;
+        if (options3.__i18n) {
+          optionsI18n.__i18n = options3.__i18n;
+        }
+        optionsI18n.__root = composer;
+        if (this === this.$root) {
+          this.$i18n = mergeToGlobal(vuei18n, optionsI18n);
+        } else {
+          optionsI18n.__injectWithOption = true;
+          optionsI18n.__extender = i18n2.__vueI18nExtend;
+          this.$i18n = createVueI18n(optionsI18n);
+          const _vueI18n = this.$i18n;
+          if (_vueI18n.__extender) {
+            _vueI18n.__disposer = _vueI18n.__extender(this.$i18n);
+          }
+        }
+      } else if (options3.__i18n) {
+        if (this === this.$root) {
+          this.$i18n = mergeToGlobal(vuei18n, options3);
+        } else {
+          this.$i18n = createVueI18n({
+            __i18n: options3.__i18n,
+            __injectWithOption: true,
+            __extender: i18n2.__vueI18nExtend,
+            __root: composer
+          });
+          const _vueI18n = this.$i18n;
+          if (_vueI18n.__extender) {
+            _vueI18n.__disposer = _vueI18n.__extender(this.$i18n);
+          }
+        }
+      } else {
+        this.$i18n = vuei18n;
+      }
+      if (options3.__i18nGlobal) {
+        adjustI18nResources(composer, options3, options3);
+      }
+      this.$t = (...args) => this.$i18n.t(...args);
+      this.$rt = (...args) => this.$i18n.rt(...args);
+      this.$tc = (...args) => this.$i18n.tc(...args);
+      this.$te = (key, locale2) => this.$i18n.te(key, locale2);
+      this.$d = (...args) => this.$i18n.d(...args);
+      this.$n = (...args) => this.$i18n.n(...args);
+      this.$tm = (key) => this.$i18n.tm(key);
+      i18n2.__setInstance(instance, this.$i18n);
+    },
+    mounted() {
+      if (false) {
+        const _vueI18n = this.$i18n;
+        this.$el.__VUE_I18N__ = _vueI18n.__composer;
+        const emitter = this.__v_emitter = createEmitter();
+        _vueI18n.__enableEmitter && _vueI18n.__enableEmitter(emitter);
+        emitter.on("*", addTimelineEvent);
+      }
+    },
+    unmounted() {
+      const instance = getCurrentInstance();
+      if (!instance) {
+        throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);
+      }
+      const _vueI18n = this.$i18n;
+      if (false) {
+        if (this.__v_emitter) {
+          this.__v_emitter.off("*", addTimelineEvent);
+          delete this.__v_emitter;
+        }
+        if (this.$i18n) {
+          _vueI18n.__disableEmitter && _vueI18n.__disableEmitter();
+          delete this.$el.__VUE_I18N__;
+        }
+      }
+      delete this.$t;
+      delete this.$rt;
+      delete this.$tc;
+      delete this.$te;
+      delete this.$d;
+      delete this.$n;
+      delete this.$tm;
+      if (_vueI18n.__disposer) {
+        _vueI18n.__disposer();
+        delete _vueI18n.__disposer;
+        delete _vueI18n.__extender;
+      }
+      i18n2.__deleteInstance(instance);
+      delete this.$i18n;
+    }
+  };
+}
+__name(defineMixin, "defineMixin");
+function mergeToGlobal(g, options3) {
+  g.locale = options3.locale || g.locale;
+  g.fallbackLocale = options3.fallbackLocale || g.fallbackLocale;
+  g.missing = options3.missing || g.missing;
+  g.silentTranslationWarn = options3.silentTranslationWarn || g.silentFallbackWarn;
+  g.silentFallbackWarn = options3.silentFallbackWarn || g.silentFallbackWarn;
+  g.formatFallbackMessages = options3.formatFallbackMessages || g.formatFallbackMessages;
+  g.postTranslation = options3.postTranslation || g.postTranslation;
+  g.warnHtmlInMessage = options3.warnHtmlInMessage || g.warnHtmlInMessage;
+  g.escapeParameterHtml = options3.escapeParameterHtml || g.escapeParameterHtml;
+  g.sync = options3.sync || g.sync;
+  g.__composer[SetPluralRulesSymbol](options3.pluralizationRules || g.pluralizationRules);
+  const messages2 = getLocaleMessages(g.locale, {
+    messages: options3.messages,
+    __i18n: options3.__i18n
+  });
+  Object.keys(messages2).forEach((locale2) => g.mergeLocaleMessage(locale2, messages2[locale2]));
+  if (options3.datetimeFormats) {
+    Object.keys(options3.datetimeFormats).forEach((locale2) => g.mergeDateTimeFormat(locale2, options3.datetimeFormats[locale2]));
+  }
+  if (options3.numberFormats) {
+    Object.keys(options3.numberFormats).forEach((locale2) => g.mergeNumberFormat(locale2, options3.numberFormats[locale2]));
+  }
+  return g;
+}
+__name(mergeToGlobal, "mergeToGlobal");
+const I18nInjectionKey = /* @__PURE__ */ makeSymbol("global-vue-i18n");
+function createI18n(options3 = {}, VueI18nLegacy) {
+  const __legacyMode = __VUE_I18N_LEGACY_API__ && isBoolean$1(options3.legacy) ? options3.legacy : __VUE_I18N_LEGACY_API__;
+  const __globalInjection = isBoolean$1(options3.globalInjection) ? options3.globalInjection : true;
+  const __allowComposition = __VUE_I18N_LEGACY_API__ && __legacyMode ? !!options3.allowComposition : true;
+  const __instances = /* @__PURE__ */ new Map();
+  const [globalScope, __global] = createGlobal(options3, __legacyMode);
+  const symbol = /* @__PURE__ */ makeSymbol(false ? "vue-i18n" : "");
+  if (false) {
+    if (__legacyMode && __allowComposition && true) {
+      warn(getWarnMessage(I18nWarnCodes.NOTICE_DROP_ALLOW_COMPOSITION));
+    }
+  }
+  function __getInstance(component) {
+    return __instances.get(component) || null;
+  }
+  __name(__getInstance, "__getInstance");
+  function __setInstance(component, instance) {
+    __instances.set(component, instance);
+  }
+  __name(__setInstance, "__setInstance");
+  function __deleteInstance(component) {
+    __instances.delete(component);
+  }
+  __name(__deleteInstance, "__deleteInstance");
+  {
+    const i18n2 = {
+      // mode
+      get mode() {
+        return __VUE_I18N_LEGACY_API__ && __legacyMode ? "legacy" : "composition";
+      },
+      // allowComposition
+      get allowComposition() {
+        return __allowComposition;
+      },
+      // install plugin
+      async install(app2, ...options22) {
+        if (false) {
+          app2.__VUE_I18N__ = i18n2;
+        }
+        app2.__VUE_I18N_SYMBOL__ = symbol;
+        app2.provide(app2.__VUE_I18N_SYMBOL__, i18n2);
+        if (isPlainObject(options22[0])) {
+          const opts = options22[0];
+          i18n2.__composerExtend = opts.__composerExtend;
+          i18n2.__vueI18nExtend = opts.__vueI18nExtend;
+        }
+        let globalReleaseHandler = null;
+        if (!__legacyMode && __globalInjection) {
+          globalReleaseHandler = injectGlobalFields(app2, i18n2.global);
+        }
+        if (__VUE_I18N_FULL_INSTALL__) {
+          apply(app2, i18n2, ...options22);
+        }
+        if (__VUE_I18N_LEGACY_API__ && __legacyMode) {
+          app2.mixin(defineMixin(__global, __global.__composer, i18n2));
+        }
+        const unmountApp = app2.unmount;
+        app2.unmount = () => {
+          globalReleaseHandler && globalReleaseHandler();
+          i18n2.dispose();
+          unmountApp();
+        };
+        if (false) {
+          const ret = await enableDevTools(app2, i18n2);
+          if (!ret) {
+            throw createI18nError(I18nErrorCodes.CANNOT_SETUP_VUE_DEVTOOLS_PLUGIN);
+          }
+          const emitter = createEmitter();
+          if (__legacyMode) {
+            const _vueI18n = __global;
+            _vueI18n.__enableEmitter && _vueI18n.__enableEmitter(emitter);
+          } else {
+            const _composer = __global;
+            _composer[EnableEmitter] && _composer[EnableEmitter](emitter);
+          }
+          emitter.on("*", addTimelineEvent);
+        }
+      },
+      // global accessor
+      get global() {
+        return __global;
+      },
+      dispose() {
+        globalScope.stop();
+      },
+      // @internal
+      __instances,
+      // @internal
+      __getInstance,
+      // @internal
+      __setInstance,
+      // @internal
+      __deleteInstance
+    };
+    return i18n2;
+  }
+}
+__name(createI18n, "createI18n");
+function useI18n(options3 = {}) {
+  const instance = getCurrentInstance();
+  if (instance == null) {
+    throw createI18nError(I18nErrorCodes.MUST_BE_CALL_SETUP_TOP);
+  }
+  if (!instance.isCE && instance.appContext.app != null && !instance.appContext.app.__VUE_I18N_SYMBOL__) {
+    throw createI18nError(I18nErrorCodes.NOT_INSTALLED);
+  }
+  const i18n2 = getI18nInstance(instance);
+  const gl = getGlobalComposer(i18n2);
+  const componentOptions = getComponentOptions(instance);
+  const scope = getScope(options3, componentOptions);
+  if (__VUE_I18N_LEGACY_API__) {
+    if (i18n2.mode === "legacy" && !options3.__useComponent) {
+      if (!i18n2.allowComposition) {
+        throw createI18nError(I18nErrorCodes.NOT_AVAILABLE_IN_LEGACY_MODE);
+      }
+      return useI18nForLegacy(instance, scope, gl, options3);
+    }
+  }
+  if (scope === "global") {
+    adjustI18nResources(gl, options3, componentOptions);
+    return gl;
+  }
+  if (scope === "parent") {
+    let composer2 = getComposer(i18n2, instance, options3.__useComponent);
+    if (composer2 == null) {
+      if (false) {
+        warn(getWarnMessage(I18nWarnCodes.NOT_FOUND_PARENT_SCOPE));
+      }
+      composer2 = gl;
+    }
+    return composer2;
+  }
+  const i18nInternal = i18n2;
+  let composer = i18nInternal.__getInstance(instance);
+  if (composer == null) {
+    const composerOptions = assign$1({}, options3);
+    if ("__i18n" in componentOptions) {
+      composerOptions.__i18n = componentOptions.__i18n;
+    }
+    if (gl) {
+      composerOptions.__root = gl;
+    }
+    composer = createComposer(composerOptions);
+    if (i18nInternal.__composerExtend) {
+      composer[DisposeSymbol] = i18nInternal.__composerExtend(composer);
+    }
+    setupLifeCycle(i18nInternal, instance, composer);
+    i18nInternal.__setInstance(instance, composer);
+  }
+  return composer;
+}
+__name(useI18n, "useI18n");
+const castToVueI18n = /* @__PURE__ */ __name(/* @__NO_SIDE_EFFECTS__ */ (i18n2) => {
+  if (!(__VUE_I18N_BRIDGE__ in i18n2)) {
+    throw createI18nError(I18nErrorCodes.NOT_COMPATIBLE_LEGACY_VUE_I18N);
+  }
+  return i18n2;
+}, "castToVueI18n");
+function createGlobal(options3, legacyMode, VueI18nLegacy) {
+  const scope = effectScope();
+  {
+    const obj = __VUE_I18N_LEGACY_API__ && legacyMode ? scope.run(() => createVueI18n(options3)) : scope.run(() => createComposer(options3));
+    if (obj == null) {
+      throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);
+    }
+    return [scope, obj];
+  }
+}
+__name(createGlobal, "createGlobal");
+function getI18nInstance(instance) {
+  {
+    const i18n2 = inject(!instance.isCE ? instance.appContext.app.__VUE_I18N_SYMBOL__ : I18nInjectionKey);
+    if (!i18n2) {
+      throw createI18nError(!instance.isCE ? I18nErrorCodes.UNEXPECTED_ERROR : I18nErrorCodes.NOT_INSTALLED_WITH_PROVIDE);
+    }
+    return i18n2;
+  }
+}
+__name(getI18nInstance, "getI18nInstance");
+function getScope(options3, componentOptions) {
+  return isEmptyObject(options3) ? "__i18n" in componentOptions ? "local" : "global" : !options3.useScope ? "local" : options3.useScope;
+}
+__name(getScope, "getScope");
+function getGlobalComposer(i18n2) {
+  return i18n2.mode === "composition" ? i18n2.global : i18n2.global.__composer;
+}
+__name(getGlobalComposer, "getGlobalComposer");
+function getComposer(i18n2, target, useComponent = false) {
+  let composer = null;
+  const root26 = target.root;
+  let current = getParentComponentInstance(target, useComponent);
+  while (current != null) {
+    const i18nInternal = i18n2;
+    if (i18n2.mode === "composition") {
+      composer = i18nInternal.__getInstance(current);
+    } else {
+      if (__VUE_I18N_LEGACY_API__) {
+        const vueI18n = i18nInternal.__getInstance(current);
+        if (vueI18n != null) {
+          composer = vueI18n.__composer;
+          if (useComponent && composer && !composer[InejctWithOptionSymbol]) {
+            composer = null;
+          }
+        }
+      }
+    }
+    if (composer != null) {
+      break;
+    }
+    if (root26 === current) {
+      break;
+    }
+    current = current.parent;
+  }
+  return composer;
+}
+__name(getComposer, "getComposer");
+function getParentComponentInstance(target, useComponent = false) {
+  if (target == null) {
+    return null;
+  }
+  {
+    return !useComponent ? target.parent : target.vnode.ctx || target.parent;
+  }
+}
+__name(getParentComponentInstance, "getParentComponentInstance");
+function setupLifeCycle(i18n2, target, composer) {
+  let emitter = null;
+  {
+    onMounted(() => {
+      if (false) {
+        target.vnode.el.__VUE_I18N__ = composer;
+        emitter = createEmitter();
+        const _composer = composer;
+        _composer[EnableEmitter] && _composer[EnableEmitter](emitter);
+        emitter.on("*", addTimelineEvent);
+      }
+    }, target);
+    onUnmounted(() => {
+      const _composer = composer;
+      if (false) {
+        emitter && emitter.off("*", addTimelineEvent);
+        _composer[DisableEmitter] && _composer[DisableEmitter]();
+        delete target.vnode.el.__VUE_I18N__;
+      }
+      i18n2.__deleteInstance(target);
+      const dispose = _composer[DisposeSymbol];
+      if (dispose) {
+        dispose();
+        delete _composer[DisposeSymbol];
+      }
+    }, target);
+  }
+}
+__name(setupLifeCycle, "setupLifeCycle");
+function useI18nForLegacy(instance, scope, root26, options3 = {}) {
+  const isLocalScope = scope === "local";
+  const _composer = shallowRef(null);
+  if (isLocalScope && instance.proxy && !(instance.proxy.$options.i18n || instance.proxy.$options.__i18n)) {
+    throw createI18nError(I18nErrorCodes.MUST_DEFINE_I18N_OPTION_IN_ALLOW_COMPOSITION);
+  }
+  const _inheritLocale = isBoolean$1(options3.inheritLocale) ? options3.inheritLocale : !isString$2(options3.locale);
+  const _locale = ref(
+    // prettier-ignore
+    !isLocalScope || _inheritLocale ? root26.locale.value : isString$2(options3.locale) ? options3.locale : DEFAULT_LOCALE
+  );
+  const _fallbackLocale = ref(
+    // prettier-ignore
+    !isLocalScope || _inheritLocale ? root26.fallbackLocale.value : isString$2(options3.fallbackLocale) || isArray$1(options3.fallbackLocale) || isPlainObject(options3.fallbackLocale) || options3.fallbackLocale === false ? options3.fallbackLocale : _locale.value
+  );
+  const _messages = ref(getLocaleMessages(_locale.value, options3));
+  const _datetimeFormats = ref(isPlainObject(options3.datetimeFormats) ? options3.datetimeFormats : { [_locale.value]: {} });
+  const _numberFormats = ref(isPlainObject(options3.numberFormats) ? options3.numberFormats : { [_locale.value]: {} });
+  const _missingWarn = isLocalScope ? root26.missingWarn : isBoolean$1(options3.missingWarn) || isRegExp(options3.missingWarn) ? options3.missingWarn : true;
+  const _fallbackWarn = isLocalScope ? root26.fallbackWarn : isBoolean$1(options3.fallbackWarn) || isRegExp(options3.fallbackWarn) ? options3.fallbackWarn : true;
+  const _fallbackRoot = isLocalScope ? root26.fallbackRoot : isBoolean$1(options3.fallbackRoot) ? options3.fallbackRoot : true;
+  const _fallbackFormat = !!options3.fallbackFormat;
+  const _missing = isFunction$1(options3.missing) ? options3.missing : null;
+  const _postTranslation = isFunction$1(options3.postTranslation) ? options3.postTranslation : null;
+  const _warnHtmlMessage = isLocalScope ? root26.warnHtmlMessage : isBoolean$1(options3.warnHtmlMessage) ? options3.warnHtmlMessage : true;
+  const _escapeParameter = !!options3.escapeParameter;
+  const _modifiers = isLocalScope ? root26.modifiers : isPlainObject(options3.modifiers) ? options3.modifiers : {};
+  const _pluralRules = options3.pluralRules || isLocalScope && root26.pluralRules;
+  function trackReactivityValues() {
+    return [
+      _locale.value,
+      _fallbackLocale.value,
+      _messages.value,
+      _datetimeFormats.value,
+      _numberFormats.value
+    ];
+  }
+  __name(trackReactivityValues, "trackReactivityValues");
+  const locale2 = computed({
+    get: /* @__PURE__ */ __name(() => {
+      return _composer.value ? _composer.value.locale.value : _locale.value;
+    }, "get"),
+    set: /* @__PURE__ */ __name((val) => {
+      if (_composer.value) {
+        _composer.value.locale.value = val;
+      }
+      _locale.value = val;
+    }, "set")
+  });
+  const fallbackLocale = computed({
+    get: /* @__PURE__ */ __name(() => {
+      return _composer.value ? _composer.value.fallbackLocale.value : _fallbackLocale.value;
+    }, "get"),
+    set: /* @__PURE__ */ __name((val) => {
+      if (_composer.value) {
+        _composer.value.fallbackLocale.value = val;
+      }
+      _fallbackLocale.value = val;
+    }, "set")
+  });
+  const messages2 = computed(() => {
+    if (_composer.value) {
+      return _composer.value.messages.value;
+    } else {
+      return _messages.value;
+    }
+  });
+  const datetimeFormats = computed(() => _datetimeFormats.value);
+  const numberFormats = computed(() => _numberFormats.value);
+  function getPostTranslationHandler() {
+    return _composer.value ? _composer.value.getPostTranslationHandler() : _postTranslation;
+  }
+  __name(getPostTranslationHandler, "getPostTranslationHandler");
+  function setPostTranslationHandler(handler6) {
+    if (_composer.value) {
+      _composer.value.setPostTranslationHandler(handler6);
+    }
+  }
+  __name(setPostTranslationHandler, "setPostTranslationHandler");
+  function getMissingHandler() {
+    return _composer.value ? _composer.value.getMissingHandler() : _missing;
+  }
+  __name(getMissingHandler, "getMissingHandler");
+  function setMissingHandler(handler6) {
+    if (_composer.value) {
+      _composer.value.setMissingHandler(handler6);
+    }
+  }
+  __name(setMissingHandler, "setMissingHandler");
+  function warpWithDeps(fn) {
+    trackReactivityValues();
+    return fn();
+  }
+  __name(warpWithDeps, "warpWithDeps");
+  function t(...args) {
+    return _composer.value ? warpWithDeps(() => Reflect.apply(_composer.value.t, null, [...args])) : warpWithDeps(() => "");
+  }
+  __name(t, "t");
+  function rt(...args) {
+    return _composer.value ? Reflect.apply(_composer.value.rt, null, [...args]) : "";
+  }
+  __name(rt, "rt");
+  function d(...args) {
+    return _composer.value ? warpWithDeps(() => Reflect.apply(_composer.value.d, null, [...args])) : warpWithDeps(() => "");
+  }
+  __name(d, "d");
+  function n(...args) {
+    return _composer.value ? warpWithDeps(() => Reflect.apply(_composer.value.n, null, [...args])) : warpWithDeps(() => "");
+  }
+  __name(n, "n");
+  function tm(key) {
+    return _composer.value ? _composer.value.tm(key) : {};
+  }
+  __name(tm, "tm");
+  function te(key, locale22) {
+    return _composer.value ? _composer.value.te(key, locale22) : false;
+  }
+  __name(te, "te");
+  function getLocaleMessage(locale22) {
+    return _composer.value ? _composer.value.getLocaleMessage(locale22) : {};
+  }
+  __name(getLocaleMessage, "getLocaleMessage");
+  function setLocaleMessage(locale22, message3) {
+    if (_composer.value) {
+      _composer.value.setLocaleMessage(locale22, message3);
+      _messages.value[locale22] = message3;
+    }
+  }
+  __name(setLocaleMessage, "setLocaleMessage");
+  function mergeLocaleMessage(locale22, message3) {
+    if (_composer.value) {
+      _composer.value.mergeLocaleMessage(locale22, message3);
+    }
+  }
+  __name(mergeLocaleMessage, "mergeLocaleMessage");
+  function getDateTimeFormat(locale22) {
+    return _composer.value ? _composer.value.getDateTimeFormat(locale22) : {};
+  }
+  __name(getDateTimeFormat, "getDateTimeFormat");
+  function setDateTimeFormat(locale22, format2) {
+    if (_composer.value) {
+      _composer.value.setDateTimeFormat(locale22, format2);
+      _datetimeFormats.value[locale22] = format2;
+    }
+  }
+  __name(setDateTimeFormat, "setDateTimeFormat");
+  function mergeDateTimeFormat(locale22, format2) {
+    if (_composer.value) {
+      _composer.value.mergeDateTimeFormat(locale22, format2);
+    }
+  }
+  __name(mergeDateTimeFormat, "mergeDateTimeFormat");
+  function getNumberFormat(locale22) {
+    return _composer.value ? _composer.value.getNumberFormat(locale22) : {};
+  }
+  __name(getNumberFormat, "getNumberFormat");
+  function setNumberFormat(locale22, format2) {
+    if (_composer.value) {
+      _composer.value.setNumberFormat(locale22, format2);
+      _numberFormats.value[locale22] = format2;
+    }
+  }
+  __name(setNumberFormat, "setNumberFormat");
+  function mergeNumberFormat(locale22, format2) {
+    if (_composer.value) {
+      _composer.value.mergeNumberFormat(locale22, format2);
+    }
+  }
+  __name(mergeNumberFormat, "mergeNumberFormat");
+  const wrapper = {
+    get id() {
+      return _composer.value ? _composer.value.id : -1;
+    },
+    locale: locale2,
+    fallbackLocale,
+    messages: messages2,
+    datetimeFormats,
+    numberFormats,
+    get inheritLocale() {
+      return _composer.value ? _composer.value.inheritLocale : _inheritLocale;
+    },
+    set inheritLocale(val) {
+      if (_composer.value) {
+        _composer.value.inheritLocale = val;
+      }
+    },
+    get availableLocales() {
+      return _composer.value ? _composer.value.availableLocales : Object.keys(_messages.value);
+    },
+    get modifiers() {
+      return _composer.value ? _composer.value.modifiers : _modifiers;
+    },
+    get pluralRules() {
+      return _composer.value ? _composer.value.pluralRules : _pluralRules;
+    },
+    get isGlobal() {
+      return _composer.value ? _composer.value.isGlobal : false;
+    },
+    get missingWarn() {
+      return _composer.value ? _composer.value.missingWarn : _missingWarn;
+    },
+    set missingWarn(val) {
+      if (_composer.value) {
+        _composer.value.missingWarn = val;
+      }
+    },
+    get fallbackWarn() {
+      return _composer.value ? _composer.value.fallbackWarn : _fallbackWarn;
+    },
+    set fallbackWarn(val) {
+      if (_composer.value) {
+        _composer.value.missingWarn = val;
+      }
+    },
+    get fallbackRoot() {
+      return _composer.value ? _composer.value.fallbackRoot : _fallbackRoot;
+    },
+    set fallbackRoot(val) {
+      if (_composer.value) {
+        _composer.value.fallbackRoot = val;
+      }
+    },
+    get fallbackFormat() {
+      return _composer.value ? _composer.value.fallbackFormat : _fallbackFormat;
+    },
+    set fallbackFormat(val) {
+      if (_composer.value) {
+        _composer.value.fallbackFormat = val;
+      }
+    },
+    get warnHtmlMessage() {
+      return _composer.value ? _composer.value.warnHtmlMessage : _warnHtmlMessage;
+    },
+    set warnHtmlMessage(val) {
+      if (_composer.value) {
+        _composer.value.warnHtmlMessage = val;
+      }
+    },
+    get escapeParameter() {
+      return _composer.value ? _composer.value.escapeParameter : _escapeParameter;
+    },
+    set escapeParameter(val) {
+      if (_composer.value) {
+        _composer.value.escapeParameter = val;
+      }
+    },
+    t,
+    getPostTranslationHandler,
+    setPostTranslationHandler,
+    getMissingHandler,
+    setMissingHandler,
+    rt,
+    d,
+    n,
+    tm,
+    te,
+    getLocaleMessage,
+    setLocaleMessage,
+    mergeLocaleMessage,
+    getDateTimeFormat,
+    setDateTimeFormat,
+    mergeDateTimeFormat,
+    getNumberFormat,
+    setNumberFormat,
+    mergeNumberFormat
+  };
+  function sync(composer) {
+    composer.locale.value = _locale.value;
+    composer.fallbackLocale.value = _fallbackLocale.value;
+    Object.keys(_messages.value).forEach((locale22) => {
+      composer.mergeLocaleMessage(locale22, _messages.value[locale22]);
+    });
+    Object.keys(_datetimeFormats.value).forEach((locale22) => {
+      composer.mergeDateTimeFormat(locale22, _datetimeFormats.value[locale22]);
+    });
+    Object.keys(_numberFormats.value).forEach((locale22) => {
+      composer.mergeNumberFormat(locale22, _numberFormats.value[locale22]);
+    });
+    composer.escapeParameter = _escapeParameter;
+    composer.fallbackFormat = _fallbackFormat;
+    composer.fallbackRoot = _fallbackRoot;
+    composer.fallbackWarn = _fallbackWarn;
+    composer.missingWarn = _missingWarn;
+    composer.warnHtmlMessage = _warnHtmlMessage;
+  }
+  __name(sync, "sync");
+  onBeforeMount(() => {
+    if (instance.proxy == null || instance.proxy.$i18n == null) {
+      throw createI18nError(I18nErrorCodes.NOT_AVAILABLE_COMPOSITION_IN_LEGACY);
+    }
+    const composer = _composer.value = instance.proxy.$i18n.__composer;
+    if (scope === "global") {
+      _locale.value = composer.locale.value;
+      _fallbackLocale.value = composer.fallbackLocale.value;
+      _messages.value = composer.messages.value;
+      _datetimeFormats.value = composer.datetimeFormats.value;
+      _numberFormats.value = composer.numberFormats.value;
+    } else if (isLocalScope) {
+      sync(composer);
+    }
+  });
+  return wrapper;
+}
+__name(useI18nForLegacy, "useI18nForLegacy");
+const globalExportProps = [
+  "locale",
+  "fallbackLocale",
+  "availableLocales"
+];
+const globalExportMethods = ["t", "rt", "d", "n", "tm", "te"];
+function injectGlobalFields(app2, composer) {
+  const i18n2 = /* @__PURE__ */ Object.create(null);
+  globalExportProps.forEach((prop2) => {
+    const desc = Object.getOwnPropertyDescriptor(composer, prop2);
+    if (!desc) {
+      throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);
+    }
+    const wrap = isRef(desc.value) ? {
+      get() {
+        return desc.value.value;
+      },
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      set(val) {
+        desc.value.value = val;
+      }
+    } : {
+      get() {
+        return desc.get && desc.get();
+      }
+    };
+    Object.defineProperty(i18n2, prop2, wrap);
+  });
+  app2.config.globalProperties.$i18n = i18n2;
+  globalExportMethods.forEach((method) => {
+    const desc = Object.getOwnPropertyDescriptor(composer, method);
+    if (!desc || !desc.value) {
+      throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);
+    }
+    Object.defineProperty(app2.config.globalProperties, `$${method}`, desc);
+  });
+  const dispose = /* @__PURE__ */ __name(() => {
+    delete app2.config.globalProperties.$i18n;
+    globalExportMethods.forEach((method) => {
+      delete app2.config.globalProperties[`$${method}`];
+    });
+  }, "dispose");
+  return dispose;
+}
+__name(injectGlobalFields, "injectGlobalFields");
+{
+  initFeatureFlags();
+}
+if (__INTLIFY_JIT_COMPILATION__) {
+  registerMessageCompiler(compile);
+} else {
+  registerMessageCompiler(compileToFunction);
+}
+registerMessageResolver(resolveValue);
+registerLocaleFallbacker(fallbackWithLocaleChain);
+if (__INTLIFY_PROD_DEVTOOLS__) {
+  const target = getGlobalThis();
+  target.__INTLIFY__ = true;
+  setDevToolsHook(target.__INTLIFY_DEVTOOLS_GLOBAL_HOOK__);
+}
+if (false) ;
+const GITHUB_API_URL = "";
+const _sfc_main$t = /* @__PURE__ */ defineComponent({
+  __name: "FindIssueButton",
+  props: {
+    errorMessage: {},
+    repoOwner: {},
+    repoName: {}
+  },
+  setup(__props) {
+    const props = __props;
+    const queryString = computed(() => props.errorMessage + " is:issue");
+    const getIssueCount = /* @__PURE__ */ __name(async () => {
+      const query = `${queryString.value} repo:${props.repoOwner}/${props.repoName}`;
+      const response = await axios.get(GITHUB_API_URL, {
+        params: {
+          q: query,
+          per_page: 1
+        }
+      });
+      return response.data.total_count;
+    }, "getIssueCount");
+    const {
+      state: issueCount,
+      isLoading,
+      execute
+    } = useAsyncState(getIssueCount, 0);
+    const { t } = useI18n();
+    const buttonLabel = computed(() => {
+      return isLoading.value ? "Loading..." : t("findIssues");
+    });
+    const openGitHubIssues = /* @__PURE__ */ __name(() => {
+      const query = encodeURIComponent(queryString.value);
+      const url = `https://github.com/${props.repoOwner}/${props.repoName}/issues?q=${query}`;
+      window.open(url, "_blank");
+    }, "openGitHubIssues");
+    return (_ctx, _cache) => {
+      return openBlock(), createBlock(unref(script$J), {
+        onClick: openGitHubIssues,
+        label: buttonLabel.value,
+        severity: "secondary",
+        icon: "pi pi-github",
+        badge: unref(issueCount).toString()
+      }, null, 8, ["label", "badge"]);
+    };
+  }
+});
+const _withScopeId$e = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-12539d86"), n = n(), popScopeId(), n), "_withScopeId$e");
+const _hoisted_1$C = { class: "comfy-error-report" };
+const _hoisted_2$s = { class: "wrapper-pre" };
+const _hoisted_3$c = { class: "action-container" };
+const repoOwner = "comfyanonymous";
+const repoName = "ComfyUI";
+const _sfc_main$s = /* @__PURE__ */ defineComponent({
+  __name: "ExecutionErrorDialogContent",
+  props: {
+    error: {}
+  },
+  setup(__props) {
+    const props = __props;
+    const reportContent = ref("");
+    const reportOpen = ref(false);
+    const showReport = /* @__PURE__ */ __name(() => {
+      reportOpen.value = true;
+    }, "showReport");
+    const toast = useToast();
+    const { copy, isSupported: isSupported2 } = useClipboard();
+    onMounted(async () => {
+      try {
+        const [systemStats, logs] = await Promise.all([
+          api.getSystemStats(),
+          api.getLogs()
+        ]);
+        generateReport(systemStats, logs);
+      } catch (error) {
+        console.error("Error fetching system stats or logs:", error);
+        toast.add({
+          severity: "error",
+          summary: "Error",
+          detail: "Failed to fetch system information",
+          life: 5e3
+        });
+      }
+    });
+    const generateReport = /* @__PURE__ */ __name((systemStats, logs) => {
+      const MAX_JSON_LENGTH = 2e4;
+      const workflowJSONString = JSON.stringify(app$1.graph.serialize());
+      const workflowText = workflowJSONString.length > MAX_JSON_LENGTH ? "Workflow too large. Please manually upload the workflow from local file system." : workflowJSONString;
+      reportContent.value = `
+# ComfyUI Error Report
+## Error Details
+- **Node Type:** ${props.error.node_type}
+- **Exception Type:** ${props.error.exception_type}
+- **Exception Message:** ${props.error.exception_message}
+## Stack Trace
+\`\`\`
+${props.error.traceback.join("\n")}
+\`\`\`
+## System Information
+- **ComfyUI Version:** ${systemStats.system.comfyui_version}
+- **Arguments:** ${systemStats.system.argv.join(" ")}
+- **OS:** ${systemStats.system.os}
+- **Python Version:** ${systemStats.system.python_version}
+- **Embedded Python:** ${systemStats.system.embedded_python}
+- **PyTorch Version:** ${systemStats.system.pytorch_version}
+## Devices
+${systemStats.devices.map(
+        (device) => `
+- **Name:** ${device.name}
+  - **Type:** ${device.type}
+  - **VRAM Total:** ${device.vram_total}
+  - **VRAM Free:** ${device.vram_free}
+  - **Torch VRAM Total:** ${device.torch_vram_total}
+  - **Torch VRAM Free:** ${device.torch_vram_free}
+`
+      ).join("\n")}
+## Logs
+\`\`\`
+${logs}
+\`\`\`
+## Attached Workflow
+Please make sure that workflow does not contain any sensitive information such as API keys or passwords.
+\`\`\`
+${workflowText}
+\`\`\`
+
+## Additional Context
+(Please add any additional context or steps to reproduce the error here)
+`;
+    }, "generateReport");
+    const copyReportToClipboard = /* @__PURE__ */ __name(async () => {
+      if (isSupported2) {
+        try {
+          await copy(reportContent.value);
+          toast.add({
+            severity: "success",
+            summary: "Success",
+            detail: "Report copied to clipboard",
+            life: 3e3
+          });
+        } catch (err) {
+          toast.add({
+            severity: "error",
+            summary: "Error",
+            detail: "Failed to copy report"
+          });
+        }
+      } else {
+        toast.add({
+          severity: "error",
+          summary: "Error",
+          detail: "Clipboard API not supported in your browser"
+        });
+      }
+    }, "copyReportToClipboard");
+    const openNewGithubIssue = /* @__PURE__ */ __name(async () => {
+      await copyReportToClipboard();
+      const issueTitle = encodeURIComponent(
+        `[Bug]: ${props.error.exception_type} in ${props.error.node_type}`
+      );
+      const issueBody = encodeURIComponent(
+        "The report has been copied to the clipboard. Please paste it here."
+      );
+      const url = `https://github.com/${repoOwner}/${repoName}/issues/new?title=${issueTitle}&body=${issueBody}`;
+      window.open(url, "_blank");
+    }, "openNewGithubIssue");
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock(Fragment, null, [
+        createVNode(NoResultsPlaceholder, {
+          icon: "pi pi-exclamation-circle",
+          title: props.error.node_type,
+          message: props.error.exception_message
+        }, null, 8, ["title", "message"]),
+        createBaseVNode("div", _hoisted_1$C, [
+          withDirectives(createVNode(unref(script$J), {
+            label: _ctx.$t("showReport"),
+            onClick: showReport,
+            text: ""
+          }, null, 8, ["label"]), [
+            [vShow, !reportOpen.value]
+          ]),
+          reportOpen.value ? (openBlock(), createElementBlock(Fragment, { key: 0 }, [
+            createVNode(unref(script$F)),
+            createVNode(unref(script$r), { style: { "width": "100%", "height": "400px", "max-width": "80vw" } }, {
+              default: withCtx(() => [
+                createBaseVNode("pre", _hoisted_2$s, toDisplayString$1(reportContent.value), 1)
+              ]),
+              _: 1
+            }),
+            createVNode(unref(script$F))
+          ], 64)) : createCommentVNode("", true),
+          createBaseVNode("div", _hoisted_3$c, [
+            createVNode(_sfc_main$t, {
+              errorMessage: props.error.exception_message,
+              repoOwner,
+              repoName
+            }, null, 8, ["errorMessage"]),
+            reportOpen.value ? (openBlock(), createBlock(unref(script$J), {
+              key: 0,
+              label: _ctx.$t("copyToClipboard"),
+              icon: "pi pi-copy",
+              onClick: copyReportToClipboard
+            }, null, 8, ["label"])) : createCommentVNode("", true)
+          ])
+        ])
+      ], 64);
+    };
+  }
+});
+const ExecutionErrorDialogContent = /* @__PURE__ */ _export_sfc(_sfc_main$s, [["__scopeId", "data-v-12539d86"]]);
+function showLoadWorkflowWarning(props) {
+  const dialogStore = useDialogStore();
+  dialogStore.showDialog({
+    component: LoadWorkflowWarning,
+    props
+  });
+}
+__name(showLoadWorkflowWarning, "showLoadWorkflowWarning");
+function showMissingModelsWarning(props) {
+  const dialogStore = useDialogStore();
+  dialogStore.showDialog({
+    component: MissingModelsWarning,
+    props
+  });
+}
+__name(showMissingModelsWarning, "showMissingModelsWarning");
+function showSettingsDialog() {
+  useDialogStore().showDialog({
+    headerComponent: SettingDialogHeader,
+    component: SettingDialogContent
+  });
+}
+__name(showSettingsDialog, "showSettingsDialog");
+function showExecutionErrorDialog(error) {
+  useDialogStore().showDialog({
+    component: ExecutionErrorDialogContent,
+    props: {
+      error
+    }
+  });
+}
+__name(showExecutionErrorDialog, "showExecutionErrorDialog");
+const useToastStore = defineStore("toast", {
+  state: /* @__PURE__ */ __name(() => ({
+    messagesToAdd: [],
+    messagesToRemove: [],
+    removeAllRequested: false
+  }), "state"),
+  actions: {
+    add(message3) {
+      this.messagesToAdd = [...this.messagesToAdd, message3];
+    },
+    remove(message3) {
+      this.messagesToRemove = [...this.messagesToRemove, message3];
+    },
+    removeAll() {
+      this.removeAllRequested = true;
+    }
+  }
+});
+var __defProp$1 = Object.defineProperty;
+var __typeError = /* @__PURE__ */ __name((msg) => {
+  throw TypeError(msg);
+}, "__typeError");
+var __defNormalProp = /* @__PURE__ */ __name((obj, key, value3) => key in obj ? __defProp$1(obj, key, { enumerable: true, configurable: true, writable: true, value: value3 }) : obj[key] = value3, "__defNormalProp");
+var __publicField = /* @__PURE__ */ __name((obj, key, value3) => __defNormalProp(obj, typeof key !== "symbol" ? key + "" : key, value3), "__publicField");
+var __accessCheck = /* @__PURE__ */ __name((obj, member, msg) => member.has(obj) || __typeError("Cannot " + msg), "__accessCheck");
+var __privateGet = /* @__PURE__ */ __name((obj, member, getter) => (__accessCheck(obj, member, "read from private field"), getter ? getter.call(obj) : member.get(obj)), "__privateGet");
+var __privateAdd = /* @__PURE__ */ __name((obj, member, value3) => member.has(obj) ? __typeError("Cannot add the same private member more than once") : member instanceof WeakSet ? member.add(obj) : member.set(obj, value3), "__privateAdd");
+const globalExport = {};
+(function(globalThis) {
+  var _temp, _temp_vec2, _tmp_area, _margin_area, _link_bounding, _tempA, _tempB;
+  var LiteGraph = globalThis.LiteGraph = {
+    VERSION: 0.4,
+    CANVAS_GRID_SIZE: 10,
+    NODE_TITLE_HEIGHT: 30,
+    NODE_TITLE_TEXT_Y: 20,
+    NODE_SLOT_HEIGHT: 20,
+    NODE_WIDGET_HEIGHT: 20,
+    NODE_WIDTH: 140,
+    NODE_MIN_WIDTH: 50,
+    NODE_COLLAPSED_RADIUS: 10,
+    NODE_COLLAPSED_WIDTH: 80,
+    NODE_TITLE_COLOR: "#999",
+    NODE_SELECTED_TITLE_COLOR: "#FFF",
+    NODE_TEXT_SIZE: 14,
+    NODE_TEXT_COLOR: "#AAA",
+    NODE_SUBTEXT_SIZE: 12,
+    NODE_DEFAULT_COLOR: "#333",
+    NODE_DEFAULT_BGCOLOR: "#353535",
+    NODE_DEFAULT_BOXCOLOR: "#666",
+    NODE_DEFAULT_SHAPE: "box",
+    NODE_BOX_OUTLINE_COLOR: "#FFF",
+    DEFAULT_SHADOW_COLOR: "rgba(0,0,0,0.5)",
+    DEFAULT_GROUP_FONT: 24,
+    WIDGET_BGCOLOR: "#222",
+    WIDGET_OUTLINE_COLOR: "#666",
+    WIDGET_TEXT_COLOR: "#DDD",
+    WIDGET_SECONDARY_TEXT_COLOR: "#999",
+    LINK_COLOR: "#9A9",
+    EVENT_LINK_COLOR: "#A86",
+    CONNECTING_LINK_COLOR: "#AFA",
+    MAX_NUMBER_OF_NODES: 1e4,
+    //avoid infinite loops
+    DEFAULT_POSITION: [100, 100],
+    //default node position
+    VALID_SHAPES: ["default", "box", "round", "card"],
+    //,"circle"
+    //shapes are used for nodes but also for slots
+    BOX_SHAPE: 1,
+    ROUND_SHAPE: 2,
+    CIRCLE_SHAPE: 3,
+    CARD_SHAPE: 4,
+    ARROW_SHAPE: 5,
+    GRID_SHAPE: 6,
+    // intended for slot arrays
+    //enums
+    INPUT: 1,
+    OUTPUT: 2,
+    EVENT: -1,
+    //for outputs
+    ACTION: -1,
+    //for inputs
+    NODE_MODES: ["Always", "On Event", "Never", "On Trigger"],
+    // helper, will add "On Request" and more in the future
+    NODE_MODES_COLORS: ["#666", "#422", "#333", "#224", "#626"],
+    // use with node_box_coloured_by_mode
+    ALWAYS: 0,
+    ON_EVENT: 1,
+    NEVER: 2,
+    ON_TRIGGER: 3,
+    UP: 1,
+    DOWN: 2,
+    LEFT: 3,
+    RIGHT: 4,
+    CENTER: 5,
+    LINK_RENDER_MODES: ["Straight", "Linear", "Spline"],
+    // helper
+    STRAIGHT_LINK: 0,
+    LINEAR_LINK: 1,
+    SPLINE_LINK: 2,
+    NORMAL_TITLE: 0,
+    NO_TITLE: 1,
+    TRANSPARENT_TITLE: 2,
+    AUTOHIDE_TITLE: 3,
+    VERTICAL_LAYOUT: "vertical",
+    // arrange nodes vertically
+    proxy: null,
+    //used to redirect calls
+    node_images_path: "",
+    debug: false,
+    catch_exceptions: true,
+    throw_errors: true,
+    allow_scripts: false,
+    //if set to true some nodes like Formula would be allowed to evaluate code that comes from unsafe sources (like node configuration), which could lead to exploits
+    registered_node_types: {},
+    //nodetypes by string
+    node_types_by_file_extension: {},
+    //used for dropping files in the canvas
+    Nodes: {},
+    //node types by classname
+    Globals: {},
+    //used to store vars between graphs
+    searchbox_extras: {},
+    //used to add extra features to the search box
+    auto_sort_node_types: false,
+    // [true!] If set to true, will automatically sort node types / categories in the context menus
+    node_box_coloured_when_on: false,
+    // [true!] this make the nodes box (top left circle) coloured when triggered (execute/action), visual feedback
+    node_box_coloured_by_mode: false,
+    // [true!] nodebox based on node mode, visual feedback
+    dialog_close_on_mouse_leave: false,
+    // [false on mobile] better true if not touch device, TODO add an helper/listener to close if false
+    dialog_close_on_mouse_leave_delay: 500,
+    shift_click_do_break_link_from: false,
+    // [false!] prefer false if results too easy to break links - implement with ALT or TODO custom keys
+    click_do_break_link_to: false,
+    // [false!]prefer false, way too easy to break links
+    ctrl_alt_click_do_break_link: true,
+    // [true!] who accidentally ctrl-alt-clicks on an in/output? nobody! that's who!
+    search_hide_on_mouse_leave: true,
+    // [false on mobile] better true if not touch device, TODO add an helper/listener to close if false
+    search_filter_enabled: false,
+    // [true!] enable filtering slots type in the search widget, !requires auto_load_slot_types or manual set registered_slot_[in/out]_types and slot_types_[in/out]
+    search_show_all_on_open: true,
+    // [true!] opens the results list when opening the search widget
+    auto_load_slot_types: false,
+    // [if want false, use true, run, get vars values to be statically set, than disable] nodes types and nodeclass association with node types need to be calculated, if dont want this, calculate once and set registered_slot_[in/out]_types and slot_types_[in/out]
+    // set these values if not using auto_load_slot_types
+    registered_slot_in_types: {},
+    // slot types for nodeclass
+    registered_slot_out_types: {},
+    // slot types for nodeclass
+    slot_types_in: [],
+    // slot types IN
+    slot_types_out: [],
+    // slot types OUT
+    slot_types_default_in: [],
+    // specify for each IN slot type a(/many) default node(s), use single string, array, or object (with node, title, parameters, ..) like for search
+    slot_types_default_out: [],
+    // specify for each OUT slot type a(/many) default node(s), use single string, array, or object (with node, title, parameters, ..) like for search
+    alt_drag_do_clone_nodes: false,
+    // [true!] very handy, ALT click to clone and drag the new node
+    do_add_triggers_slots: false,
+    // [true!] will create and connect event slots when using action/events connections, !WILL CHANGE node mode when using onTrigger (enable mode colors), onExecuted does not need this
+    allow_multi_output_for_events: true,
+    // [false!] being events, it is strongly reccomended to use them sequentially, one by one
+    middle_click_slot_add_default_node: false,
+    //[true!] allows to create and connect a ndoe clicking with the third button (wheel)
+    release_link_on_empty_shows_menu: false,
+    //[true!] dragging a link to empty space will open a menu, add from list, search or defaults
+    pointerevents_method: "pointer",
+    // "mouse"|"pointer" use mouse for retrocompatibility issues? (none found @ now)
+    // TODO implement pointercancel, gotpointercapture, lostpointercapture, (pointerover, pointerout if necessary)
+    ctrl_shift_v_paste_connect_unselected_outputs: true,
+    //[true!] allows ctrl + shift + v to paste nodes with the outputs of the unselected nodes connected with the inputs of the newly pasted nodes
+    // if true, all newly created nodes/links will use string UUIDs for their id fields instead of integers.
+    // use this if you must have node IDs that are unique across all graphs and subgraphs.
+    use_uuids: false,
+    /**
+     * Register a node class so it can be listed when the user wants to create a new one
+     * @method registerNodeType
+     * @param {String} type name of the node and path
+     * @param {Class} base_class class containing the structure of a node
+     */
+    registerNodeType: /* @__PURE__ */ __name(function(type, base_class) {
+      if (!base_class.prototype) {
+        throw "Cannot register a simple object, it must be a class with a prototype";
+      }
+      base_class.type = type;
+      if (LiteGraph.debug) {
+        console.log("Node registered: " + type);
+      }
+      const classname = base_class.name;
+      const pos2 = type.lastIndexOf("/");
+      base_class.category = type.substring(0, pos2);
+      if (!base_class.title) {
+        base_class.title = classname;
+      }
+      for (var i2 in LGraphNode.prototype) {
+        if (!base_class.prototype[i2]) {
+          base_class.prototype[i2] = LGraphNode.prototype[i2];
+        }
+      }
+      const prev2 = this.registered_node_types[type];
+      if (prev2) {
+        console.log("replacing node type: " + type);
+      }
+      if (!Object.prototype.hasOwnProperty.call(base_class.prototype, "shape")) {
+        Object.defineProperty(base_class.prototype, "shape", {
+          set: /* @__PURE__ */ __name(function(v2) {
+            switch (v2) {
+              case "default":
+                delete this._shape;
+                break;
+              case "box":
+                this._shape = LiteGraph.BOX_SHAPE;
+                break;
+              case "round":
+                this._shape = LiteGraph.ROUND_SHAPE;
+                break;
+              case "circle":
+                this._shape = LiteGraph.CIRCLE_SHAPE;
+                break;
+              case "card":
+                this._shape = LiteGraph.CARD_SHAPE;
+                break;
+              default:
+                this._shape = v2;
+            }
+          }, "set"),
+          get: /* @__PURE__ */ __name(function() {
+            return this._shape;
+          }, "get"),
+          enumerable: true,
+          configurable: true
+        });
+        if (base_class.supported_extensions) {
+          for (let i3 in base_class.supported_extensions) {
+            const ext = base_class.supported_extensions[i3];
+            if (ext && ext.constructor === String) {
+              this.node_types_by_file_extension[ext.toLowerCase()] = base_class;
+            }
+          }
+        }
+      }
+      this.registered_node_types[type] = base_class;
+      if (base_class.constructor.name) {
+        this.Nodes[classname] = base_class;
+      }
+      if (LiteGraph.onNodeTypeRegistered) {
+        LiteGraph.onNodeTypeRegistered(type, base_class);
+      }
+      if (prev2 && LiteGraph.onNodeTypeReplaced) {
+        LiteGraph.onNodeTypeReplaced(type, base_class, prev2);
+      }
+      if (base_class.prototype.onPropertyChange) {
+        console.warn(
+          "LiteGraph node class " + type + " has onPropertyChange method, it must be called onPropertyChanged with d at the end"
+        );
+      }
+      if (this.auto_load_slot_types) {
+        new base_class(base_class.title || "tmpnode");
+      }
+    }, "registerNodeType"),
+    /**
+     * removes a node type from the system
+     * @method unregisterNodeType
+     * @param {String|Object} type name of the node or the node constructor itself
+     */
+    unregisterNodeType: /* @__PURE__ */ __name(function(type) {
+      const base_class = type.constructor === String ? this.registered_node_types[type] : type;
+      if (!base_class) {
+        throw "node type not found: " + type;
+      }
+      delete this.registered_node_types[base_class.type];
+      if (base_class.constructor.name) {
+        delete this.Nodes[base_class.constructor.name];
+      }
+    }, "unregisterNodeType"),
+    /**
+    * Save a slot type and his node
+    * @method registerSlotType
+    * @param {String|Object} type name of the node or the node constructor itself
+    * @param {String} slot_type name of the slot type (variable type), eg. string, number, array, boolean, ..
+    */
+    registerNodeAndSlotType: /* @__PURE__ */ __name(function(type, slot_type, out) {
+      out = out || false;
+      const base_class = type.constructor === String && this.registered_node_types[type] !== "anonymous" ? this.registered_node_types[type] : type;
+      const class_type = base_class.constructor.type;
+      let allTypes = [];
+      if (typeof slot_type === "string") {
+        allTypes = slot_type.split(",");
+      } else if (slot_type == this.EVENT || slot_type == this.ACTION) {
+        allTypes = ["_event_"];
+      } else {
+        allTypes = ["*"];
+      }
+      for (let i2 = 0; i2 < allTypes.length; ++i2) {
+        let slotType = allTypes[i2];
+        if (slotType === "") {
+          slotType = "*";
+        }
+        const registerTo = out ? "registered_slot_out_types" : "registered_slot_in_types";
+        if (this[registerTo][slotType] === void 0) {
+          this[registerTo][slotType] = { nodes: [] };
+        }
+        if (!this[registerTo][slotType].nodes.includes(class_type)) {
+          this[registerTo][slotType].nodes.push(class_type);
+        }
+        if (!out) {
+          if (!this.slot_types_in.includes(slotType.toLowerCase())) {
+            this.slot_types_in.push(slotType.toLowerCase());
+            this.slot_types_in.sort();
+          }
+        } else {
+          if (!this.slot_types_out.includes(slotType.toLowerCase())) {
+            this.slot_types_out.push(slotType.toLowerCase());
+            this.slot_types_out.sort();
+          }
+        }
+      }
+    }, "registerNodeAndSlotType"),
+    /**
+     * Create a new nodetype by passing a function, it wraps it with a proper class and generates inputs according to the parameters of the function.
+     * Useful to wrap simple methods that do not require properties, and that only process some input to generate an output.
+     * @method wrapFunctionAsNode
+     * @param {String} name node name with namespace (p.e.: 'math/sum')
+     * @param {Function} func
+     * @param {Array} param_types [optional] an array containing the type of every parameter, otherwise parameters will accept any type
+     * @param {String} return_type [optional] string with the return type, otherwise it will be generic
+     * @param {Object} properties [optional] properties to be configurable
+     */
+    wrapFunctionAsNode: /* @__PURE__ */ __name(function(name, func, param_types, return_type, properties) {
+      var params = Array(func.length);
+      var code2 = "";
+      var names = LiteGraph.getParameterNames(func);
+      for (var i2 = 0; i2 < names.length; ++i2) {
+        code2 += "this.addInput('" + names[i2] + "'," + (param_types && param_types[i2] ? "'" + param_types[i2] + "'" : "0") + ");\n";
+      }
+      code2 += "this.addOutput('out'," + (return_type ? "'" + return_type + "'" : 0) + ");\n";
+      if (properties) {
+        code2 += "this.properties = " + JSON.stringify(properties) + ";\n";
+      }
+      var classobj = Function(code2);
+      classobj.title = name.split("/").pop();
+      classobj.desc = "Generated from " + func.name;
+      classobj.prototype.onExecute = /* @__PURE__ */ __name(function onExecute() {
+        for (var i3 = 0; i3 < params.length; ++i3) {
+          params[i3] = this.getInputData(i3);
+        }
+        var r = func.apply(this, params);
+        this.setOutputData(0, r);
+      }, "onExecute");
+      this.registerNodeType(name, classobj);
+    }, "wrapFunctionAsNode"),
+    /**
+     * Removes all previously registered node's types
+     */
+    clearRegisteredTypes: /* @__PURE__ */ __name(function() {
+      this.registered_node_types = {};
+      this.node_types_by_file_extension = {};
+      this.Nodes = {};
+      this.searchbox_extras = {};
+    }, "clearRegisteredTypes"),
+    /**
+     * Adds this method to all nodetypes, existing and to be created
+     * (You can add it to LGraphNode.prototype but then existing node types wont have it)
+     * @method addNodeMethod
+     * @param {Function} func
+     */
+    addNodeMethod: /* @__PURE__ */ __name(function(name, func) {
+      LGraphNode.prototype[name] = func;
+      for (var i2 in this.registered_node_types) {
+        var type = this.registered_node_types[i2];
+        if (type.prototype[name]) {
+          type.prototype["_" + name] = type.prototype[name];
+        }
+        type.prototype[name] = func;
+      }
+    }, "addNodeMethod"),
+    /**
+     * Create a node of a given type with a name. The node is not attached to any graph yet.
+     * @method createNode
+     * @param {String} type full name of the node class. p.e. "math/sin"
+     * @param {String} name a name to distinguish from other nodes
+     * @param {Object} options to set options
+     */
+    createNode: /* @__PURE__ */ __name(function(type, title, options3) {
+      var base_class = this.registered_node_types[type];
+      if (!base_class) {
+        if (LiteGraph.debug) {
+          console.log(
+            'GraphNode type "' + type + '" not registered.'
+          );
+        }
+        return null;
+      }
+      base_class.prototype || base_class;
+      title = title || base_class.title || type;
+      var node22 = null;
+      if (LiteGraph.catch_exceptions) {
+        try {
+          node22 = new base_class(title);
+        } catch (err) {
+          console.error(err);
+          return null;
+        }
+      } else {
+        node22 = new base_class(title);
+      }
+      node22.type = type;
+      if (!node22.title && title) {
+        node22.title = title;
+      }
+      if (!node22.properties) {
+        node22.properties = {};
+      }
+      if (!node22.properties_info) {
+        node22.properties_info = [];
+      }
+      if (!node22.flags) {
+        node22.flags = {};
+      }
+      if (!node22.size) {
+        node22.size = node22.computeSize();
+      }
+      if (!node22.pos) {
+        node22.pos = LiteGraph.DEFAULT_POSITION.concat();
+      }
+      if (!node22.mode) {
+        node22.mode = LiteGraph.ALWAYS;
+      }
+      if (options3) {
+        for (var i2 in options3) {
+          node22[i2] = options3[i2];
+        }
+      }
+      if (node22.onNodeCreated) {
+        node22.onNodeCreated();
+      }
+      return node22;
+    }, "createNode"),
+    /**
+     * Returns a registered node type with a given name
+     * @method getNodeType
+     * @param {String} type full name of the node class. p.e. "math/sin"
+     * @return {Class} the node class
+     */
+    getNodeType: /* @__PURE__ */ __name(function(type) {
+      return this.registered_node_types[type];
+    }, "getNodeType"),
+    /**
+     * Returns a list of node types matching one category
+     * @method getNodeType
+     * @param {String} category category name
+     * @return {Array} array with all the node classes
+     */
+    getNodeTypesInCategory: /* @__PURE__ */ __name(function(category, filter4) {
+      var r = [];
+      for (var i2 in this.registered_node_types) {
+        var type = this.registered_node_types[i2];
+        if (type.filter != filter4) {
+          continue;
+        }
+        if (category == "") {
+          if (type.category == null) {
+            r.push(type);
+          }
+        } else if (type.category == category) {
+          r.push(type);
+        }
+      }
+      if (this.auto_sort_node_types) {
+        r.sort(function(a, b) {
+          return a.title.localeCompare(b.title);
+        });
+      }
+      return r;
+    }, "getNodeTypesInCategory"),
+    /**
+     * Returns a list with all the node type categories
+     * @method getNodeTypesCategories
+     * @param {String} filter only nodes with ctor.filter equal can be shown
+     * @return {Array} array with all the names of the categories
+     */
+    getNodeTypesCategories: /* @__PURE__ */ __name(function(filter4) {
+      var categories = { "": 1 };
+      for (var i2 in this.registered_node_types) {
+        var type = this.registered_node_types[i2];
+        if (type.category && !type.skip_list) {
+          if (type.filter != filter4)
+            continue;
+          categories[type.category] = 1;
+        }
+      }
+      var result = [];
+      for (var i2 in categories) {
+        result.push(i2);
+      }
+      return this.auto_sort_node_types ? result.sort() : result;
+    }, "getNodeTypesCategories"),
+    //debug purposes: reloads all the js scripts that matches a wildcard
+    reloadNodes: /* @__PURE__ */ __name(function(folder_wildcard) {
+      var tmp = document.getElementsByTagName("script");
+      var script_files = [];
+      for (var i2 = 0; i2 < tmp.length; i2++) {
+        script_files.push(tmp[i2]);
+      }
+      var docHeadObj = document.getElementsByTagName("head")[0];
+      folder_wildcard = document.location.href + folder_wildcard;
+      for (var i2 = 0; i2 < script_files.length; i2++) {
+        var src = script_files[i2].src;
+        if (!src || src.substr(0, folder_wildcard.length) != folder_wildcard) {
+          continue;
+        }
+        try {
+          if (LiteGraph.debug) {
+            console.log("Reloading: " + src);
+          }
+          var dynamicScript = document.createElement("script");
+          dynamicScript.type = "text/javascript";
+          dynamicScript.src = src;
+          docHeadObj.appendChild(dynamicScript);
+          docHeadObj.removeChild(script_files[i2]);
+        } catch (err) {
+          if (LiteGraph.throw_errors) {
+            throw err;
+          }
+          if (LiteGraph.debug) {
+            console.log("Error while reloading " + src);
+          }
+        }
+      }
+      if (LiteGraph.debug) {
+        console.log("Nodes reloaded");
+      }
+    }, "reloadNodes"),
+    //separated just to improve if it doesn't work
+    cloneObject: /* @__PURE__ */ __name(function(obj, target) {
+      if (obj == null) {
+        return null;
+      }
+      var r = JSON.parse(JSON.stringify(obj));
+      if (!target) {
+        return r;
+      }
+      for (var i2 in r) {
+        target[i2] = r[i2];
+      }
+      return target;
+    }, "cloneObject"),
+    /*
+     * https://gist.github.com/jed/982883?permalink_comment_id=852670#gistcomment-852670
+     */
+    uuidv4: /* @__PURE__ */ __name(function() {
+      return ("10000000-1000-4000-8000" + -1e11).replace(/[018]/g, (a) => (a ^ Math.random() * 16 >> a / 4).toString(16));
+    }, "uuidv4"),
+    /**
+     * Returns if the types of two slots are compatible (taking into account wildcards, etc)
+     * @method isValidConnection
+     * @param {String} type_a
+     * @param {String} type_b
+     * @return {Boolean} true if they can be connected
+     */
+    isValidConnection: /* @__PURE__ */ __name(function(type_a, type_b) {
+      if (type_a == "" || type_a === "*") type_a = 0;
+      if (type_b == "" || type_b === "*") type_b = 0;
+      if (!type_a || !type_b || type_a == type_b || type_a == LiteGraph.EVENT && type_b == LiteGraph.ACTION) {
+        return true;
+      }
+      type_a = String(type_a);
+      type_b = String(type_b);
+      type_a = type_a.toLowerCase();
+      type_b = type_b.toLowerCase();
+      if (type_a.indexOf(",") == -1 && type_b.indexOf(",") == -1) {
+        return type_a == type_b;
+      }
+      var supported_types_a = type_a.split(",");
+      var supported_types_b = type_b.split(",");
+      for (var i2 = 0; i2 < supported_types_a.length; ++i2) {
+        for (var j = 0; j < supported_types_b.length; ++j) {
+          if (this.isValidConnection(supported_types_a[i2], supported_types_b[j])) {
+            return true;
+          }
+        }
+      }
+      return false;
+    }, "isValidConnection"),
+    /**
+     * Register a string in the search box so when the user types it it will recommend this node
+     * @method registerSearchboxExtra
+     * @param {String} node_type the node recommended
+     * @param {String} description text to show next to it
+     * @param {Object} data it could contain info of how the node should be configured
+     * @return {Boolean} true if they can be connected
+     */
+    registerSearchboxExtra: /* @__PURE__ */ __name(function(node_type, description, data24) {
+      this.searchbox_extras[description.toLowerCase()] = {
+        type: node_type,
+        desc: description,
+        data: data24
+      };
+    }, "registerSearchboxExtra"),
+    /**
+     * Wrapper to load files (from url using fetch or from file using FileReader)
+     * @method fetchFile
+     * @param {String|File|Blob} url the url of the file (or the file itself)
+     * @param {String} type an string to know how to fetch it: "text","arraybuffer","json","blob"
+     * @param {Function} on_complete callback(data)
+     * @param {Function} on_error in case of an error
+     * @return {FileReader|Promise} returns the object used to 
+     */
+    fetchFile: /* @__PURE__ */ __name(function(url, type, on_complete, on_error) {
+      if (!url)
+        return null;
+      type = type || "text";
+      if (url.constructor === String) {
+        if (url.substr(0, 4) == "http" && LiteGraph.proxy) {
+          url = LiteGraph.proxy + url.substr(url.indexOf(":") + 3);
+        }
+        return fetch(url).then(function(response) {
+          if (!response.ok)
+            throw new Error("File not found");
+          if (type == "arraybuffer")
+            return response.arrayBuffer();
+          else if (type == "text" || type == "string")
+            return response.text();
+          else if (type == "json")
+            return response.json();
+          else if (type == "blob")
+            return response.blob();
+        }).then(function(data24) {
+          if (on_complete)
+            on_complete(data24);
+        }).catch(function(error) {
+          console.error("error fetching file:", url);
+          if (on_error)
+            on_error(error);
+        });
+      } else if (url.constructor === File || url.constructor === Blob) {
+        var reader = new FileReader();
+        reader.onload = function(e) {
+          var v2 = e.target.result;
+          if (type == "json")
+            v2 = JSON.parse(v2);
+          if (on_complete)
+            on_complete(v2);
+        };
+        if (type == "arraybuffer")
+          return reader.readAsArrayBuffer(url);
+        else if (type == "text" || type == "json")
+          return reader.readAsText(url);
+        else if (type == "blob")
+          return reader.readAsBinaryString(url);
+      }
+      return null;
+    }, "fetchFile")
+  };
+  if (typeof performance != "undefined") {
+    LiteGraph.getTime = performance.now.bind(performance);
+  } else if (typeof Date != "undefined" && Date.now) {
+    LiteGraph.getTime = Date.now.bind(Date);
+  } else if (typeof process != "undefined") {
+    LiteGraph.getTime = function() {
+      var t = process.hrtime();
+      return t[0] * 1e-3 + t[1] * 1e-6;
+    };
+  } else {
+    LiteGraph.getTime = /* @__PURE__ */ __name(function getTime() {
+      return (/* @__PURE__ */ new Date()).getTime();
+    }, "getTime");
+  }
+  const _LGraph = class _LGraph2 {
+    static {
+      __name(this, "_LGraph");
+    }
+    constructor(o) {
+      if (LiteGraph.debug) {
+        console.log("Graph created");
+      }
+      this.list_of_graphcanvas = null;
+      this.clear();
+      if (o) {
+        this.configure(o);
+      }
+    }
+    //used to know which types of connections support this graph (some graphs do not allow certain types)
+    getSupportedTypes() {
+      return this.supported_types || _LGraph2.supported_types;
+    }
+    /**
+         * Removes all nodes from this graph
+         * @method clear
+         */
+    clear() {
+      this.stop();
+      this.status = _LGraph2.STATUS_STOPPED;
+      this.last_node_id = 0;
+      this.last_link_id = 0;
+      this._version = -1;
+      if (this._nodes) {
+        for (var i2 = 0; i2 < this._nodes.length; ++i2) {
+          var node22 = this._nodes[i2];
+          if (node22.onRemoved) {
+            node22.onRemoved();
+          }
+        }
+      }
+      this._nodes = [];
+      this._nodes_by_id = {};
+      this._nodes_in_order = [];
+      this._nodes_executable = null;
+      this._groups = [];
+      this.links = {};
+      this.iteration = 0;
+      this.config = {};
+      this.vars = {};
+      this.extra = {};
+      this.globaltime = 0;
+      this.runningtime = 0;
+      this.fixedtime = 0;
+      this.fixedtime_lapse = 0.01;
+      this.elapsed_time = 0.01;
+      this.last_update_time = 0;
+      this.starttime = 0;
+      this.catch_errors = true;
+      this.nodes_executing = [];
+      this.nodes_actioning = [];
+      this.nodes_executedAction = [];
+      this.inputs = {};
+      this.outputs = {};
+      this.change();
+      this.sendActionToCanvas("clear");
+    }
+    /**
+         * Attach Canvas to this graph
+         * @method attachCanvas
+         * @param {GraphCanvas} graph_canvas
+         */
+    attachCanvas(graphcanvas) {
+      if (graphcanvas.constructor != LGraphCanvas) {
+        throw "attachCanvas expects a LGraphCanvas instance";
+      }
+      if (graphcanvas.graph && graphcanvas.graph != this) {
+        graphcanvas.graph.detachCanvas(graphcanvas);
+      }
+      graphcanvas.graph = this;
+      if (!this.list_of_graphcanvas) {
+        this.list_of_graphcanvas = [];
+      }
+      this.list_of_graphcanvas.push(graphcanvas);
+    }
+    /**
+         * Detach Canvas from this graph
+         * @method detachCanvas
+         * @param {GraphCanvas} graph_canvas
+         */
+    detachCanvas(graphcanvas) {
+      if (!this.list_of_graphcanvas) {
+        return;
+      }
+      var pos2 = this.list_of_graphcanvas.indexOf(graphcanvas);
+      if (pos2 == -1) {
+        return;
+      }
+      graphcanvas.graph = null;
+      this.list_of_graphcanvas.splice(pos2, 1);
+    }
+    /**
+         * Starts running this graph every interval milliseconds.
+         * @method start
+         * @param {number} interval amount of milliseconds between executions, if 0 then it renders to the monitor refresh rate
+         */
+    start(interval) {
+      if (this.status == _LGraph2.STATUS_RUNNING) {
+        return;
+      }
+      this.status = _LGraph2.STATUS_RUNNING;
+      if (this.onPlayEvent) {
+        this.onPlayEvent();
+      }
+      this.sendEventToAllNodes("onStart");
+      this.starttime = LiteGraph.getTime();
+      this.last_update_time = this.starttime;
+      interval = interval || 0;
+      var that2 = this;
+      if (interval == 0 && typeof window != "undefined" && window.requestAnimationFrame) {
+        let on_frame = /* @__PURE__ */ __name(function() {
+          if (that2.execution_timer_id != -1) {
+            return;
+          }
+          window.requestAnimationFrame(on_frame);
+          if (that2.onBeforeStep)
+            that2.onBeforeStep();
+          that2.runStep(1, !that2.catch_errors);
+          if (that2.onAfterStep)
+            that2.onAfterStep();
+        }, "on_frame");
+        this.execution_timer_id = -1;
+        on_frame();
+      } else {
+        this.execution_timer_id = setInterval(function() {
+          if (that2.onBeforeStep)
+            that2.onBeforeStep();
+          that2.runStep(1, !that2.catch_errors);
+          if (that2.onAfterStep)
+            that2.onAfterStep();
+        }, interval);
+      }
+    }
+    /**
+         * Stops the execution loop of the graph
+         * @method stop execution
+         */
+    stop() {
+      if (this.status == _LGraph2.STATUS_STOPPED) {
+        return;
+      }
+      this.status = _LGraph2.STATUS_STOPPED;
+      if (this.onStopEvent) {
+        this.onStopEvent();
+      }
+      if (this.execution_timer_id != null) {
+        if (this.execution_timer_id != -1) {
+          clearInterval(this.execution_timer_id);
+        }
+        this.execution_timer_id = null;
+      }
+      this.sendEventToAllNodes("onStop");
+    }
+    /**
+         * Run N steps (cycles) of the graph
+         * @method runStep
+         * @param {number} num number of steps to run, default is 1
+         * @param {Boolean} do_not_catch_errors [optional] if you want to try/catch errors
+         * @param {number} limit max number of nodes to execute (used to execute from start to a node)
+         */
+    runStep(num, do_not_catch_errors, limit) {
+      num = num || 1;
+      var start2 = LiteGraph.getTime();
+      this.globaltime = 1e-3 * (start2 - this.starttime);
+      var nodes = this._nodes_executable ? this._nodes_executable : this._nodes;
+      if (!nodes) {
+        return;
+      }
+      limit = limit || nodes.length;
+      if (do_not_catch_errors) {
+        for (var i2 = 0; i2 < num; i2++) {
+          for (var j = 0; j < limit; ++j) {
+            var node22 = nodes[j];
+            if (node22.mode == LiteGraph.ALWAYS && node22.onExecute) {
+              node22.doExecute();
+            }
+          }
+          this.fixedtime += this.fixedtime_lapse;
+          if (this.onExecuteStep) {
+            this.onExecuteStep();
+          }
+        }
+        if (this.onAfterExecute) {
+          this.onAfterExecute();
+        }
+      } else {
+        try {
+          for (var i2 = 0; i2 < num; i2++) {
+            for (var j = 0; j < limit; ++j) {
+              var node22 = nodes[j];
+              if (node22.mode == LiteGraph.ALWAYS && node22.onExecute) {
+                node22.onExecute();
+              }
+            }
+            this.fixedtime += this.fixedtime_lapse;
+            if (this.onExecuteStep) {
+              this.onExecuteStep();
+            }
+          }
+          if (this.onAfterExecute) {
+            this.onAfterExecute();
+          }
+          this.errors_in_execution = false;
+        } catch (err) {
+          this.errors_in_execution = true;
+          if (LiteGraph.throw_errors) {
+            throw err;
+          }
+          if (LiteGraph.debug) {
+            console.log("Error during execution: " + err);
+          }
+          this.stop();
+        }
+      }
+      var now2 = LiteGraph.getTime();
+      var elapsed = now2 - start2;
+      if (elapsed == 0) {
+        elapsed = 1;
+      }
+      this.execution_time = 1e-3 * elapsed;
+      this.globaltime += 1e-3 * elapsed;
+      this.iteration += 1;
+      this.elapsed_time = (now2 - this.last_update_time) * 1e-3;
+      this.last_update_time = now2;
+      this.nodes_executing = [];
+      this.nodes_actioning = [];
+      this.nodes_executedAction = [];
+    }
+    /**
+         * Updates the graph execution order according to relevance of the nodes (nodes with only outputs have more relevance than
+         * nodes with only inputs.
+         * @method updateExecutionOrder
+         */
+    updateExecutionOrder() {
+      this._nodes_in_order = this.computeExecutionOrder(false);
+      this._nodes_executable = [];
+      for (var i2 = 0; i2 < this._nodes_in_order.length; ++i2) {
+        if (this._nodes_in_order[i2].onExecute) {
+          this._nodes_executable.push(this._nodes_in_order[i2]);
+        }
+      }
+    }
+    //This is more internal, it computes the executable nodes in order and returns it
+    computeExecutionOrder(only_onExecute, set_level) {
+      var L = [];
+      var S = [];
+      var M = {};
+      var visited_links = {};
+      var remaining_links = {};
+      for (var i2 = 0, l = this._nodes.length; i2 < l; ++i2) {
+        var node22 = this._nodes[i2];
+        if (only_onExecute && !node22.onExecute) {
+          continue;
+        }
+        M[node22.id] = node22;
+        var num = 0;
+        if (node22.inputs) {
+          for (var j = 0, l2 = node22.inputs.length; j < l2; j++) {
+            if (node22.inputs[j] && node22.inputs[j].link != null) {
+              num += 1;
+            }
+          }
+        }
+        if (num == 0) {
+          S.push(node22);
+          if (set_level) {
+            node22._level = 1;
+          }
+        } else {
+          if (set_level) {
+            node22._level = 0;
+          }
+          remaining_links[node22.id] = num;
+        }
+      }
+      while (true) {
+        if (S.length == 0) {
+          break;
+        }
+        var node22 = S.shift();
+        L.push(node22);
+        delete M[node22.id];
+        if (!node22.outputs) {
+          continue;
+        }
+        for (var i2 = 0; i2 < node22.outputs.length; i2++) {
+          var output = node22.outputs[i2];
+          if (output == null || output.links == null || output.links.length == 0) {
+            continue;
+          }
+          for (var j = 0; j < output.links.length; j++) {
+            var link_id = output.links[j];
+            var link = this.links[link_id];
+            if (!link) {
+              continue;
+            }
+            if (visited_links[link.id]) {
+              continue;
+            }
+            var target_node = this.getNodeById(link.target_id);
+            if (target_node == null) {
+              visited_links[link.id] = true;
+              continue;
+            }
+            if (set_level && (!target_node._level || target_node._level <= node22._level)) {
+              target_node._level = node22._level + 1;
+            }
+            visited_links[link.id] = true;
+            remaining_links[target_node.id] -= 1;
+            if (remaining_links[target_node.id] == 0) {
+              S.push(target_node);
+            }
+          }
+        }
+      }
+      for (var i2 in M) {
+        L.push(M[i2]);
+      }
+      if (L.length != this._nodes.length && LiteGraph.debug) {
+        console.warn("something went wrong, nodes missing");
+      }
+      var l = L.length;
+      for (var i2 = 0; i2 < l; ++i2) {
+        L[i2].order = i2;
+      }
+      L = L.sort(function(A, B) {
+        var Ap = A.constructor.priority || A.priority || 0;
+        var Bp = B.constructor.priority || B.priority || 0;
+        if (Ap == Bp) {
+          return A.order - B.order;
+        }
+        return Ap - Bp;
+      });
+      for (var i2 = 0; i2 < l; ++i2) {
+        L[i2].order = i2;
+      }
+      return L;
+    }
+    /**
+         * Returns all the nodes that could affect this one (ancestors) by crawling all the inputs recursively.
+         * It doesn't include the node itself
+         * @method getAncestors
+         * @return {Array} an array with all the LGraphNodes that affect this node, in order of execution
+         */
+    getAncestors(node22) {
+      var ancestors = [];
+      var pending = [node22];
+      var visited = {};
+      while (pending.length) {
+        var current = pending.shift();
+        if (!current.inputs) {
+          continue;
+        }
+        if (!visited[current.id] && current != node22) {
+          visited[current.id] = true;
+          ancestors.push(current);
+        }
+        for (var i2 = 0; i2 < current.inputs.length; ++i2) {
+          var input = current.getInputNode(i2);
+          if (input && ancestors.indexOf(input) == -1) {
+            pending.push(input);
+          }
+        }
+      }
+      ancestors.sort(function(a, b) {
+        return a.order - b.order;
+      });
+      return ancestors;
+    }
+    /**
+         * Positions every node in a more readable manner
+         * @method arrange
+         */
+    arrange(margin, layout) {
+      margin = margin || 100;
+      const nodes = this.computeExecutionOrder(false, true);
+      const columns = [];
+      for (let i2 = 0; i2 < nodes.length; ++i2) {
+        const node22 = nodes[i2];
+        const col = node22._level || 1;
+        if (!columns[col]) {
+          columns[col] = [];
+        }
+        columns[col].push(node22);
+      }
+      let x2 = margin;
+      for (let i2 = 0; i2 < columns.length; ++i2) {
+        const column = columns[i2];
+        if (!column) {
+          continue;
+        }
+        let max_size = 100;
+        let y2 = margin + LiteGraph.NODE_TITLE_HEIGHT;
+        for (let j = 0; j < column.length; ++j) {
+          const node22 = column[j];
+          node22.pos[0] = layout == LiteGraph.VERTICAL_LAYOUT ? y2 : x2;
+          node22.pos[1] = layout == LiteGraph.VERTICAL_LAYOUT ? x2 : y2;
+          const max_size_index = layout == LiteGraph.VERTICAL_LAYOUT ? 1 : 0;
+          if (node22.size[max_size_index] > max_size) {
+            max_size = node22.size[max_size_index];
+          }
+          const node_size_index = layout == LiteGraph.VERTICAL_LAYOUT ? 0 : 1;
+          y2 += node22.size[node_size_index] + margin + LiteGraph.NODE_TITLE_HEIGHT;
+        }
+        x2 += max_size + margin;
+      }
+      this.setDirtyCanvas(true, true);
+    }
+    /**
+         * Returns the amount of time the graph has been running in milliseconds
+         * @method getTime
+         * @return {number} number of milliseconds the graph has been running
+         */
+    getTime() {
+      return this.globaltime;
+    }
+    /**
+         * Returns the amount of time accumulated using the fixedtime_lapse var. This is used in context where the time increments should be constant
+         * @method getFixedTime
+         * @return {number} number of milliseconds the graph has been running
+         */
+    getFixedTime() {
+      return this.fixedtime;
+    }
+    /**
+         * Returns the amount of time it took to compute the latest iteration. Take into account that this number could be not correct
+         * if the nodes are using graphical actions
+         * @method getElapsedTime
+         * @return {number} number of milliseconds it took the last cycle
+         */
+    getElapsedTime() {
+      return this.elapsed_time;
+    }
+    /**
+         * Sends an event to all the nodes, useful to trigger stuff
+         * @method sendEventToAllNodes
+         * @param {String} eventname the name of the event (function to be called)
+         * @param {Array} params parameters in array format
+         */
+    sendEventToAllNodes(eventname, params, mode2) {
+      mode2 = mode2 || LiteGraph.ALWAYS;
+      var nodes = this._nodes_in_order ? this._nodes_in_order : this._nodes;
+      if (!nodes) {
+        return;
+      }
+      for (var j = 0, l = nodes.length; j < l; ++j) {
+        var node22 = nodes[j];
+        if (node22.constructor === LiteGraph.Subgraph && eventname != "onExecute") {
+          if (node22.mode == mode2) {
+            node22.sendEventToAllNodes(eventname, params, mode2);
+          }
+          continue;
+        }
+        if (!node22[eventname] || node22.mode != mode2) {
+          continue;
+        }
+        if (params === void 0) {
+          node22[eventname]();
+        } else if (params && params.constructor === Array) {
+          node22[eventname].apply(node22, params);
+        } else {
+          node22[eventname](params);
+        }
+      }
+    }
+    sendActionToCanvas(action, params) {
+      if (!this.list_of_graphcanvas) {
+        return;
+      }
+      for (var i2 = 0; i2 < this.list_of_graphcanvas.length; ++i2) {
+        var c = this.list_of_graphcanvas[i2];
+        if (c[action]) {
+          c[action].apply(c, params);
+        }
+      }
+    }
+    /**
+         * Adds a new node instance to this graph
+         * @method add
+         * @param {LGraphNode} node the instance of the node
+         */
+    add(node22, skip_compute_order) {
+      if (!node22) {
+        return;
+      }
+      if (node22.constructor === LGraphGroup) {
+        this._groups.push(node22);
+        this.setDirtyCanvas(true);
+        this.change();
+        node22.graph = this;
+        this._version++;
+        return;
+      }
+      if (node22.id != -1 && this._nodes_by_id[node22.id] != null) {
+        console.warn(
+          "LiteGraph: there is already a node with this ID, changing it"
+        );
+        if (LiteGraph.use_uuids) {
+          node22.id = LiteGraph.uuidv4();
+        } else {
+          node22.id = ++this.last_node_id;
+        }
+      }
+      if (this._nodes.length >= LiteGraph.MAX_NUMBER_OF_NODES) {
+        throw "LiteGraph: max number of nodes in a graph reached";
+      }
+      if (LiteGraph.use_uuids) {
+        if (node22.id == null || node22.id == -1)
+          node22.id = LiteGraph.uuidv4();
+      } else {
+        if (node22.id == null || node22.id == -1) {
+          node22.id = ++this.last_node_id;
+        } else if (this.last_node_id < node22.id) {
+          this.last_node_id = node22.id;
+        }
+      }
+      node22.graph = this;
+      this._version++;
+      this._nodes.push(node22);
+      this._nodes_by_id[node22.id] = node22;
+      if (node22.onAdded) {
+        node22.onAdded(this);
+      }
+      if (this.config.align_to_grid) {
+        node22.alignToGrid();
+      }
+      if (!skip_compute_order) {
+        this.updateExecutionOrder();
+      }
+      if (this.onNodeAdded) {
+        this.onNodeAdded(node22);
+      }
+      this.setDirtyCanvas(true);
+      this.change();
+      return node22;
+    }
+    /**
+         * Removes a node from the graph
+         * @method remove
+         * @param {LGraphNode} node the instance of the node
+         */
+    remove(node22) {
+      if (node22.constructor === LiteGraph.LGraphGroup) {
+        var index2 = this._groups.indexOf(node22);
+        if (index2 != -1) {
+          this._groups.splice(index2, 1);
+        }
+        node22.graph = null;
+        this._version++;
+        this.setDirtyCanvas(true, true);
+        this.change();
+        return;
+      }
+      if (this._nodes_by_id[node22.id] == null) {
+        return;
+      }
+      if (node22.ignore_remove) {
+        return;
+      }
+      this.beforeChange();
+      if (node22.inputs) {
+        for (var i2 = 0; i2 < node22.inputs.length; i2++) {
+          var slot = node22.inputs[i2];
+          if (slot.link != null) {
+            node22.disconnectInput(i2);
+          }
+        }
+      }
+      if (node22.outputs) {
+        for (var i2 = 0; i2 < node22.outputs.length; i2++) {
+          var slot = node22.outputs[i2];
+          if (slot.links != null && slot.links.length) {
+            node22.disconnectOutput(i2);
+          }
+        }
+      }
+      if (node22.onRemoved) {
+        node22.onRemoved();
+      }
+      node22.graph = null;
+      this._version++;
+      if (this.list_of_graphcanvas) {
+        for (var i2 = 0; i2 < this.list_of_graphcanvas.length; ++i2) {
+          var canvas = this.list_of_graphcanvas[i2];
+          if (canvas.selected_nodes[node22.id]) {
+            delete canvas.selected_nodes[node22.id];
+          }
+          if (canvas.node_dragged == node22) {
+            canvas.node_dragged = null;
+          }
+        }
+      }
+      var pos2 = this._nodes.indexOf(node22);
+      if (pos2 != -1) {
+        this._nodes.splice(pos2, 1);
+      }
+      delete this._nodes_by_id[node22.id];
+      if (this.onNodeRemoved) {
+        this.onNodeRemoved(node22);
+      }
+      this.sendActionToCanvas("checkPanels");
+      this.setDirtyCanvas(true, true);
+      this.afterChange();
+      this.change();
+      this.updateExecutionOrder();
+    }
+    /**
+         * Returns a node by its id.
+         * @method getNodeById
+         * @param {Number} id
+         */
+    getNodeById(id2) {
+      if (id2 == null) {
+        return null;
+      }
+      return this._nodes_by_id[id2];
+    }
+    /**
+         * Returns a list of nodes that matches a class
+         * @method findNodesByClass
+         * @param {Class} classObject the class itself (not an string)
+         * @return {Array} a list with all the nodes of this type
+         */
+    findNodesByClass(classObject, result) {
+      result = result || [];
+      result.length = 0;
+      for (var i2 = 0, l = this._nodes.length; i2 < l; ++i2) {
+        if (this._nodes[i2].constructor === classObject) {
+          result.push(this._nodes[i2]);
+        }
+      }
+      return result;
+    }
+    /**
+         * Returns a list of nodes that matches a type
+         * @method findNodesByType
+         * @param {String} type the name of the node type
+         * @return {Array} a list with all the nodes of this type
+         */
+    findNodesByType(type, result) {
+      var type = type.toLowerCase();
+      result = result || [];
+      result.length = 0;
+      for (var i2 = 0, l = this._nodes.length; i2 < l; ++i2) {
+        if (this._nodes[i2].type.toLowerCase() == type) {
+          result.push(this._nodes[i2]);
+        }
+      }
+      return result;
+    }
+    /**
+         * Returns the first node that matches a name in its title
+         * @method findNodeByTitle
+         * @param {String} name the name of the node to search
+         * @return {Node} the node or null
+         */
+    findNodeByTitle(title) {
+      for (var i2 = 0, l = this._nodes.length; i2 < l; ++i2) {
+        if (this._nodes[i2].title == title) {
+          return this._nodes[i2];
+        }
+      }
+      return null;
+    }
+    /**
+         * Returns a list of nodes that matches a name
+         * @method findNodesByTitle
+         * @param {String} name the name of the node to search
+         * @return {Array} a list with all the nodes with this name
+         */
+    findNodesByTitle(title) {
+      var result = [];
+      for (var i2 = 0, l = this._nodes.length; i2 < l; ++i2) {
+        if (this._nodes[i2].title == title) {
+          result.push(this._nodes[i2]);
+        }
+      }
+      return result;
+    }
+    /**
+         * Returns the top-most node in this position of the canvas
+         * @method getNodeOnPos
+         * @param {number} x the x coordinate in canvas space
+         * @param {number} y the y coordinate in canvas space
+         * @param {Array} nodes_list a list with all the nodes to search from, by default is all the nodes in the graph
+         * @return {LGraphNode} the node at this position or null
+         */
+    getNodeOnPos(x2, y2, nodes_list, margin) {
+      nodes_list = nodes_list || this._nodes;
+      var nRet = null;
+      for (var i2 = nodes_list.length - 1; i2 >= 0; i2--) {
+        var n = nodes_list[i2];
+        var skip_title = n.constructor.title_mode == LiteGraph.NO_TITLE;
+        if (n.isPointInside(x2, y2, margin, skip_title)) {
+          return n;
+        }
+      }
+      return nRet;
+    }
+    /**
+         * Returns the top-most group in that position
+         * @method getGroupOnPos
+         * @param {number} x the x coordinate in canvas space
+         * @param {number} y the y coordinate in canvas space
+         * @return {LGraphGroup} the group or null
+         */
+    getGroupOnPos(x2, y2) {
+      for (var i2 = this._groups.length - 1; i2 >= 0; i2--) {
+        var g = this._groups[i2];
+        if (g.isPointInside(x2, y2, 2, true)) {
+          return g;
+        }
+      }
+      return null;
+    }
+    /**
+         * Checks that the node type matches the node type registered, used when replacing a nodetype by a newer version during execution
+         * this replaces the ones using the old version with the new version
+         * @method checkNodeTypes
+         */
+    checkNodeTypes() {
+      for (var i2 = 0; i2 < this._nodes.length; i2++) {
+        var node22 = this._nodes[i2];
+        var ctor = LiteGraph.registered_node_types[node22.type];
+        if (node22.constructor == ctor) {
+          continue;
+        }
+        console.log("node being replaced by newer version: " + node22.type);
+        var newnode = LiteGraph.createNode(node22.type);
+        this._nodes[i2] = newnode;
+        newnode.configure(node22.serialize());
+        newnode.graph = this;
+        this._nodes_by_id[newnode.id] = newnode;
+        if (node22.inputs) {
+          newnode.inputs = node22.inputs.concat();
+        }
+        if (node22.outputs) {
+          newnode.outputs = node22.outputs.concat();
+        }
+      }
+      this.updateExecutionOrder();
+    }
+    // ********** GLOBALS *****************
+    onAction(action, param, options3) {
+      this._input_nodes = this.findNodesByClass(
+        LiteGraph.GraphInput,
+        this._input_nodes
+      );
+      for (var i2 = 0; i2 < this._input_nodes.length; ++i2) {
+        var node22 = this._input_nodes[i2];
+        if (node22.properties.name != action) {
+          continue;
+        }
+        node22.actionDo(action, param, options3);
+        break;
+      }
+    }
+    trigger(action, param) {
+      if (this.onTrigger) {
+        this.onTrigger(action, param);
+      }
+    }
+    /**
+         * Tell this graph it has a global graph input of this type
+         * @method addGlobalInput
+         * @param {String} name
+         * @param {String} type
+         * @param {*} value [optional]
+         */
+    addInput(name, type, value3) {
+      var input = this.inputs[name];
+      if (input) {
+        return;
+      }
+      this.beforeChange();
+      this.inputs[name] = { name, type, value: value3 };
+      this._version++;
+      this.afterChange();
+      if (this.onInputAdded) {
+        this.onInputAdded(name, type);
+      }
+      if (this.onInputsOutputsChange) {
+        this.onInputsOutputsChange();
+      }
+    }
+    /**
+         * Assign a data to the global graph input
+         * @method setGlobalInputData
+         * @param {String} name
+         * @param {*} data
+         */
+    setInputData(name, data24) {
+      var input = this.inputs[name];
+      if (!input) {
+        return;
+      }
+      input.value = data24;
+    }
+    /**
+         * Returns the current value of a global graph input
+         * @method getInputData
+         * @param {String} name
+         * @return {*} the data
+         */
+    getInputData(name) {
+      var input = this.inputs[name];
+      if (!input) {
+        return null;
+      }
+      return input.value;
+    }
+    /**
+         * Changes the name of a global graph input
+         * @method renameInput
+         * @param {String} old_name
+         * @param {String} new_name
+         */
+    renameInput(old_name, name) {
+      if (name == old_name) {
+        return;
+      }
+      if (!this.inputs[old_name]) {
+        return false;
+      }
+      if (this.inputs[name]) {
+        console.error("there is already one input with that name");
+        return false;
+      }
+      this.inputs[name] = this.inputs[old_name];
+      delete this.inputs[old_name];
+      this._version++;
+      if (this.onInputRenamed) {
+        this.onInputRenamed(old_name, name);
+      }
+      if (this.onInputsOutputsChange) {
+        this.onInputsOutputsChange();
+      }
+    }
+    /**
+         * Changes the type of a global graph input
+         * @method changeInputType
+         * @param {String} name
+         * @param {String} type
+         */
+    changeInputType(name, type) {
+      if (!this.inputs[name]) {
+        return false;
+      }
+      if (this.inputs[name].type && String(this.inputs[name].type).toLowerCase() == String(type).toLowerCase()) {
+        return;
+      }
+      this.inputs[name].type = type;
+      this._version++;
+      if (this.onInputTypeChanged) {
+        this.onInputTypeChanged(name, type);
+      }
+    }
+    /**
+         * Removes a global graph input
+         * @method removeInput
+         * @param {String} name
+         * @param {String} type
+         */
+    removeInput(name) {
+      if (!this.inputs[name]) {
+        return false;
+      }
+      delete this.inputs[name];
+      this._version++;
+      if (this.onInputRemoved) {
+        this.onInputRemoved(name);
+      }
+      if (this.onInputsOutputsChange) {
+        this.onInputsOutputsChange();
+      }
+      return true;
+    }
+    /**
+         * Creates a global graph output
+         * @method addOutput
+         * @param {String} name
+         * @param {String} type
+         * @param {*} value
+         */
+    addOutput(name, type, value3) {
+      this.outputs[name] = { name, type, value: value3 };
+      this._version++;
+      if (this.onOutputAdded) {
+        this.onOutputAdded(name, type);
+      }
+      if (this.onInputsOutputsChange) {
+        this.onInputsOutputsChange();
+      }
+    }
+    /**
+         * Assign a data to the global output
+         * @method setOutputData
+         * @param {String} name
+         * @param {String} value
+         */
+    setOutputData(name, value3) {
+      var output = this.outputs[name];
+      if (!output) {
+        return;
+      }
+      output.value = value3;
+    }
+    /**
+         * Returns the current value of a global graph output
+         * @method getOutputData
+         * @param {String} name
+         * @return {*} the data
+         */
+    getOutputData(name) {
+      var output = this.outputs[name];
+      if (!output) {
+        return null;
+      }
+      return output.value;
+    }
+    /**
+         * Renames a global graph output
+         * @method renameOutput
+         * @param {String} old_name
+         * @param {String} new_name
+         */
+    renameOutput(old_name, name) {
+      if (!this.outputs[old_name]) {
+        return false;
+      }
+      if (this.outputs[name]) {
+        console.error("there is already one output with that name");
+        return false;
+      }
+      this.outputs[name] = this.outputs[old_name];
+      delete this.outputs[old_name];
+      this._version++;
+      if (this.onOutputRenamed) {
+        this.onOutputRenamed(old_name, name);
+      }
+      if (this.onInputsOutputsChange) {
+        this.onInputsOutputsChange();
+      }
+    }
+    /**
+         * Changes the type of a global graph output
+         * @method changeOutputType
+         * @param {String} name
+         * @param {String} type
+         */
+    changeOutputType(name, type) {
+      if (!this.outputs[name]) {
+        return false;
+      }
+      if (this.outputs[name].type && String(this.outputs[name].type).toLowerCase() == String(type).toLowerCase()) {
+        return;
+      }
+      this.outputs[name].type = type;
+      this._version++;
+      if (this.onOutputTypeChanged) {
+        this.onOutputTypeChanged(name, type);
+      }
+    }
+    /**
+         * Removes a global graph output
+         * @method removeOutput
+         * @param {String} name
+         */
+    removeOutput(name) {
+      if (!this.outputs[name]) {
+        return false;
+      }
+      delete this.outputs[name];
+      this._version++;
+      if (this.onOutputRemoved) {
+        this.onOutputRemoved(name);
+      }
+      if (this.onInputsOutputsChange) {
+        this.onInputsOutputsChange();
+      }
+      return true;
+    }
+    triggerInput(name, value3) {
+      var nodes = this.findNodesByTitle(name);
+      for (var i2 = 0; i2 < nodes.length; ++i2) {
+        nodes[i2].onTrigger(value3);
+      }
+    }
+    setCallback(name, func) {
+      var nodes = this.findNodesByTitle(name);
+      for (var i2 = 0; i2 < nodes.length; ++i2) {
+        nodes[i2].setTrigger(func);
+      }
+    }
+    //used for undo, called before any change is made to the graph
+    beforeChange(info) {
+      if (this.onBeforeChange) {
+        this.onBeforeChange(this, info);
+      }
+      this.sendActionToCanvas("onBeforeChange", this);
+    }
+    //used to resend actions, called after any change is made to the graph
+    afterChange(info) {
+      if (this.onAfterChange) {
+        this.onAfterChange(this, info);
+      }
+      this.sendActionToCanvas("onAfterChange", this);
+    }
+    connectionChange(node22, link_info) {
+      this.updateExecutionOrder();
+      if (this.onConnectionChange) {
+        this.onConnectionChange(node22);
+      }
+      this._version++;
+      this.sendActionToCanvas("onConnectionChange");
+    }
+    /**
+         * returns if the graph is in live mode
+         * @method isLive
+         */
+    isLive() {
+      if (!this.list_of_graphcanvas) {
+        return false;
+      }
+      for (var i2 = 0; i2 < this.list_of_graphcanvas.length; ++i2) {
+        var c = this.list_of_graphcanvas[i2];
+        if (c.live_mode) {
+          return true;
+        }
+      }
+      return false;
+    }
+    /**
+         * clears the triggered slot animation in all links (stop visual animation)
+         * @method clearTriggeredSlots
+         */
+    clearTriggeredSlots() {
+      for (var i2 in this.links) {
+        var link_info = this.links[i2];
+        if (!link_info) {
+          continue;
+        }
+        if (link_info._last_time) {
+          link_info._last_time = 0;
+        }
+      }
+    }
+    /* Called when something visually changed (not the graph!) */
+    change() {
+      if (LiteGraph.debug) {
+        console.log("Graph changed");
+      }
+      this.sendActionToCanvas("setDirty", [true, true]);
+      if (this.on_change) {
+        this.on_change(this);
+      }
+    }
+    setDirtyCanvas(fg, bg) {
+      this.sendActionToCanvas("setDirty", [fg, bg]);
+    }
+    /**
+         * Destroys a link
+         * @method removeLink
+         * @param {Number} link_id
+         */
+    removeLink(link_id) {
+      var link = this.links[link_id];
+      if (!link) {
+        return;
+      }
+      var node22 = this.getNodeById(link.target_id);
+      if (node22) {
+        node22.disconnectInput(link.target_slot);
+      }
+    }
+    //save and recover app state ***************************************
+    /**
+         * Creates a Object containing all the info about this graph, it can be serialized
+         * @method serialize
+         * @return {Object} value of the node
+         */
+    serialize(option4 = { sortNodes: false }) {
+      var nodes_info = [];
+      nodes_info = ((option4 == null ? void 0 : option4.sortNodes) ? [...this._nodes].sort((a, b) => a.id - b.id) : this._nodes).map((node22) => node22.serialize());
+      var links = [];
+      for (var i2 in this.links) {
+        var link = this.links[i2];
+        if (!link.serialize) {
+          console.warn(
+            "weird LLink bug, link info is not a LLink but a regular object"
+          );
+          var link2 = new LLink();
+          for (var j in link) {
+            link2[j] = link[j];
+          }
+          this.links[i2] = link2;
+          link = link2;
+        }
+        links.push(link.serialize());
+      }
+      var groups_info = [];
+      for (var i2 = 0; i2 < this._groups.length; ++i2) {
+        groups_info.push(this._groups[i2].serialize());
+      }
+      var data24 = {
+        last_node_id: this.last_node_id,
+        last_link_id: this.last_link_id,
+        nodes: nodes_info,
+        links,
+        groups: groups_info,
+        config: this.config,
+        extra: this.extra,
+        version: LiteGraph.VERSION
+      };
+      if (this.onSerialize)
+        this.onSerialize(data24);
+      return data24;
+    }
+    /**
+         * Configure a graph from a JSON string
+         * @method configure
+         * @param {String} str configure a graph from a JSON string
+         * @param {Boolean} returns if there was any error parsing
+         */
+    configure(data24, keep_old) {
+      if (!data24) {
+        return;
+      }
+      if (!keep_old) {
+        this.clear();
+      }
+      var nodes = data24.nodes;
+      if (data24.links && data24.links.constructor === Array) {
+        var links = [];
+        for (var i2 = 0; i2 < data24.links.length; ++i2) {
+          var link_data = data24.links[i2];
+          if (!link_data) {
+            console.warn("serialized graph link data contains errors, skipping.");
+            continue;
+          }
+          var link = new LLink();
+          link.configure(link_data);
+          links[link.id] = link;
+        }
+        data24.links = links;
+      }
+      for (var i2 in data24) {
+        if (i2 == "nodes" || i2 == "groups")
+          continue;
+        this[i2] = data24[i2];
+      }
+      var error = false;
+      this._nodes = [];
+      if (nodes) {
+        for (var i2 = 0, l = nodes.length; i2 < l; ++i2) {
+          var n_info = nodes[i2];
+          var node22 = LiteGraph.createNode(n_info.type, n_info.title);
+          if (!node22) {
+            if (LiteGraph.debug) {
+              console.log(
+                "Node not found or has errors: " + n_info.type
+              );
+            }
+            node22 = new LGraphNode();
+            node22.last_serialization = n_info;
+            node22.has_errors = true;
+            error = true;
+          }
+          node22.id = n_info.id;
+          this.add(node22, true);
+        }
+        for (var i2 = 0, l = nodes.length; i2 < l; ++i2) {
+          var n_info = nodes[i2];
+          var node22 = this.getNodeById(n_info.id);
+          if (node22) {
+            node22.configure(n_info);
+          }
+        }
+      }
+      this._groups.length = 0;
+      if (data24.groups) {
+        for (var i2 = 0; i2 < data24.groups.length; ++i2) {
+          var group = new LiteGraph.LGraphGroup();
+          group.configure(data24.groups[i2]);
+          this.add(group);
+        }
+      }
+      this.updateExecutionOrder();
+      this.extra = data24.extra || {};
+      if (this.onConfigure)
+        this.onConfigure(data24);
+      this._version++;
+      this.setDirtyCanvas(true, true);
+      return error;
+    }
+    load(url, callback) {
+      var that2 = this;
+      if (url.constructor === File || url.constructor === Blob) {
+        var reader = new FileReader();
+        reader.addEventListener("load", function(event2) {
+          var data24 = JSON.parse(event2.target.result);
+          that2.configure(data24);
+          if (callback)
+            callback();
+        });
+        reader.readAsText(url);
+        return;
+      }
+      var req = new XMLHttpRequest();
+      req.open("GET", url, true);
+      req.send(null);
+      req.onload = function(oEvent) {
+        if (req.status !== 200) {
+          console.error("Error loading graph:", req.status, req.response);
+          return;
+        }
+        var data24 = JSON.parse(req.response);
+        that2.configure(data24);
+        if (callback)
+          callback();
+      };
+      req.onerror = function(err) {
+        console.error("Error loading graph:", err);
+      };
+    }
+    onNodeTrace(node22, msg, color) {
+    }
+  };
+  __publicField(_LGraph, "supported_types", ["number", "string", "boolean"]);
+  __publicField(_LGraph, "STATUS_STOPPED", 1);
+  __publicField(_LGraph, "STATUS_RUNNING", 2);
+  let LGraph = _LGraph;
+  globalThis.LGraph = LiteGraph.LGraph = LGraph;
+  class LLink {
+    static {
+      __name(this, "LLink");
+    }
+    constructor(id2, type, origin_id, origin_slot, target_id, target_slot) {
+      this.id = id2;
+      this.type = type;
+      this.origin_id = origin_id;
+      this.origin_slot = origin_slot;
+      this.target_id = target_id;
+      this.target_slot = target_slot;
+      this._data = null;
+      this._pos = new Float32Array(2);
+    }
+    configure(o) {
+      if (o.constructor === Array) {
+        this.id = o[0];
+        this.origin_id = o[1];
+        this.origin_slot = o[2];
+        this.target_id = o[3];
+        this.target_slot = o[4];
+        this.type = o[5];
+      } else {
+        this.id = o.id;
+        this.type = o.type;
+        this.origin_id = o.origin_id;
+        this.origin_slot = o.origin_slot;
+        this.target_id = o.target_id;
+        this.target_slot = o.target_slot;
+      }
+    }
+    serialize() {
+      return [
+        this.id,
+        this.origin_id,
+        this.origin_slot,
+        this.target_id,
+        this.target_slot,
+        this.type
+      ];
+    }
+  }
+  LiteGraph.LLink = LLink;
+  class LGraphNode {
+    static {
+      __name(this, "LGraphNode");
+    }
+    constructor(title) {
+      this._ctor(title);
+    }
+    _ctor(title) {
+      this.title = title || "Unnamed";
+      this.size = [LiteGraph.NODE_WIDTH, 60];
+      this.graph = null;
+      this._pos = new Float32Array(10, 10);
+      Object.defineProperty(this, "pos", {
+        set: /* @__PURE__ */ __name(function(v2) {
+          if (!v2 || v2.length < 2) {
+            return;
+          }
+          this._pos[0] = v2[0];
+          this._pos[1] = v2[1];
+        }, "set"),
+        get: /* @__PURE__ */ __name(function() {
+          return this._pos;
+        }, "get"),
+        enumerable: true
+      });
+      if (LiteGraph.use_uuids) {
+        this.id = LiteGraph.uuidv4();
+      } else {
+        this.id = -1;
+      }
+      this.type = null;
+      this.inputs = [];
+      this.outputs = [];
+      this.connections = [];
+      this.properties = {};
+      this.properties_info = [];
+      this.flags = {};
+    }
+    /**
+         * configure a node from an object containing the serialized info
+         * @method configure
+         */
+    configure(info) {
+      if (this.graph) {
+        this.graph._version++;
+      }
+      for (var j in info) {
+        if (j == "properties") {
+          for (var k in info.properties) {
+            this.properties[k] = info.properties[k];
+            if (this.onPropertyChanged) {
+              this.onPropertyChanged(k, info.properties[k]);
+            }
+          }
+          continue;
+        }
+        if (info[j] == null) {
+          continue;
+        } else if (typeof info[j] == "object") {
+          if (this[j] && this[j].configure) {
+            this[j].configure(info[j]);
+          } else {
+            this[j] = LiteGraph.cloneObject(info[j], this[j]);
+          }
+        } else {
+          this[j] = info[j];
+        }
+      }
+      if (!info.title) {
+        this.title = this.constructor.title;
+      }
+      if (this.inputs) {
+        for (var i2 = 0; i2 < this.inputs.length; ++i2) {
+          var input = this.inputs[i2];
+          var link_info = this.graph ? this.graph.links[input.link] : null;
+          if (this.onConnectionsChange)
+            this.onConnectionsChange(LiteGraph.INPUT, i2, true, link_info, input);
+          if (this.onInputAdded)
+            this.onInputAdded(input);
+        }
+      }
+      if (this.outputs) {
+        for (var i2 = 0; i2 < this.outputs.length; ++i2) {
+          var output = this.outputs[i2];
+          if (!output.links) {
+            continue;
+          }
+          for (var j = 0; j < output.links.length; ++j) {
+            var link_info = this.graph ? this.graph.links[output.links[j]] : null;
+            if (this.onConnectionsChange)
+              this.onConnectionsChange(LiteGraph.OUTPUT, i2, true, link_info, output);
+          }
+          if (this.onOutputAdded)
+            this.onOutputAdded(output);
+        }
+      }
+      if (this.widgets) {
+        for (var i2 = 0; i2 < this.widgets.length; ++i2) {
+          var w2 = this.widgets[i2];
+          if (!w2)
+            continue;
+          if (w2.options && w2.options.property && this.properties[w2.options.property] != void 0)
+            w2.value = JSON.parse(JSON.stringify(this.properties[w2.options.property]));
+        }
+        if (info.widgets_values) {
+          for (var i2 = 0; i2 < info.widgets_values.length; ++i2) {
+            if (this.widgets[i2]) {
+              this.widgets[i2].value = info.widgets_values[i2];
+            }
+          }
+        }
+      }
+      if (this.onConfigure) {
+        this.onConfigure(info);
+      }
+    }
+    /**
+         * serialize the content
+         * @method serialize
+         */
+    serialize() {
+      var o = {
+        id: this.id,
+        type: this.type,
+        pos: this.pos,
+        size: this.size,
+        flags: LiteGraph.cloneObject(this.flags),
+        order: this.order,
+        mode: this.mode
+      };
+      if (this.constructor === LGraphNode && this.last_serialization) {
+        return this.last_serialization;
+      }
+      if (this.inputs) {
+        o.inputs = this.inputs;
+      }
+      if (this.outputs) {
+        for (var i2 = 0; i2 < this.outputs.length; i2++) {
+          delete this.outputs[i2]._data;
+        }
+        o.outputs = this.outputs;
+      }
+      if (this.title && this.title != this.constructor.title) {
+        o.title = this.title;
+      }
+      if (this.properties) {
+        o.properties = LiteGraph.cloneObject(this.properties);
+      }
+      if (this.widgets && this.serialize_widgets) {
+        o.widgets_values = [];
+        for (var i2 = 0; i2 < this.widgets.length; ++i2) {
+          if (this.widgets[i2])
+            o.widgets_values[i2] = this.widgets[i2].value;
+          else
+            o.widgets_values[i2] = null;
+        }
+      }
+      if (!o.type) {
+        o.type = this.constructor.type;
+      }
+      if (this.color) {
+        o.color = this.color;
+      }
+      if (this.bgcolor) {
+        o.bgcolor = this.bgcolor;
+      }
+      if (this.boxcolor) {
+        o.boxcolor = this.boxcolor;
+      }
+      if (this.shape) {
+        o.shape = this.shape;
+      }
+      if (this.onSerialize) {
+        if (this.onSerialize(o)) {
+          console.warn(
+            "node onSerialize shouldnt return anything, data should be stored in the object pass in the first parameter"
+          );
+        }
+      }
+      return o;
+    }
+    /* Creates a clone of this node */
+    clone() {
+      var node22 = LiteGraph.createNode(this.type);
+      if (!node22) {
+        return null;
+      }
+      var data24 = LiteGraph.cloneObject(this.serialize());
+      if (data24.inputs) {
+        for (var i2 = 0; i2 < data24.inputs.length; ++i2) {
+          data24.inputs[i2].link = null;
+        }
+      }
+      if (data24.outputs) {
+        for (var i2 = 0; i2 < data24.outputs.length; ++i2) {
+          if (data24.outputs[i2].links) {
+            data24.outputs[i2].links.length = 0;
+          }
+        }
+      }
+      delete data24["id"];
+      if (LiteGraph.use_uuids) {
+        data24["id"] = LiteGraph.uuidv4();
+      }
+      node22.configure(data24);
+      return node22;
+    }
+    /**
+         * serialize and stringify
+         * @method toString
+         */
+    toString() {
+      return JSON.stringify(this.serialize());
+    }
+    //LGraphNode.prototype.deserialize = function(info) {} //this cannot be done from within, must be done in LiteGraph
+    /**
+         * get the title string
+         * @method getTitle
+         */
+    getTitle() {
+      return this.title || this.constructor.title;
+    }
+    /**
+         * sets the value of a property
+         * @method setProperty
+         * @param {String} name
+         * @param {*} value
+         */
+    setProperty(name, value3) {
+      if (!this.properties) {
+        this.properties = {};
+      }
+      if (value3 === this.properties[name])
+        return;
+      var prev_value = this.properties[name];
+      this.properties[name] = value3;
+      if (this.onPropertyChanged) {
+        if (this.onPropertyChanged(name, value3, prev_value) === false)
+          this.properties[name] = prev_value;
+      }
+      if (this.widgets)
+        for (var i2 = 0; i2 < this.widgets.length; ++i2) {
+          var w2 = this.widgets[i2];
+          if (!w2)
+            continue;
+          if (w2.options.property == name) {
+            w2.value = value3;
+            break;
+          }
+        }
+    }
+    // Execution *************************
+    /**
+         * sets the output data
+         * @method setOutputData
+         * @param {number} slot
+         * @param {*} data
+         */
+    setOutputData(slot, data24) {
+      if (!this.outputs) {
+        return;
+      }
+      if (slot == -1 || slot >= this.outputs.length) {
+        return;
+      }
+      var output_info = this.outputs[slot];
+      if (!output_info) {
+        return;
+      }
+      output_info._data = data24;
+      if (this.outputs[slot].links) {
+        for (var i2 = 0; i2 < this.outputs[slot].links.length; i2++) {
+          var link_id = this.outputs[slot].links[i2];
+          var link = this.graph.links[link_id];
+          if (link)
+            link.data = data24;
+        }
+      }
+    }
+    /**
+         * sets the output data type, useful when you want to be able to overwrite the data type
+         * @method setOutputDataType
+         * @param {number} slot
+         * @param {String} datatype
+         */
+    setOutputDataType(slot, type) {
+      if (!this.outputs) {
+        return;
+      }
+      if (slot == -1 || slot >= this.outputs.length) {
+        return;
+      }
+      var output_info = this.outputs[slot];
+      if (!output_info) {
+        return;
+      }
+      output_info.type = type;
+      if (this.outputs[slot].links) {
+        for (var i2 = 0; i2 < this.outputs[slot].links.length; i2++) {
+          var link_id = this.outputs[slot].links[i2];
+          this.graph.links[link_id].type = type;
+        }
+      }
+    }
+    /**
+         * Retrieves the input data (data traveling through the connection) from one slot
+         * @method getInputData
+         * @param {number} slot
+         * @param {boolean} force_update if set to true it will force the connected node of this slot to output data into this link
+         * @return {*} data or if it is not connected returns undefined
+         */
+    getInputData(slot, force_update) {
+      if (!this.inputs) {
+        return;
+      }
+      if (slot >= this.inputs.length || this.inputs[slot].link == null) {
+        return;
+      }
+      var link_id = this.inputs[slot].link;
+      var link = this.graph.links[link_id];
+      if (!link) {
+        return null;
+      }
+      if (!force_update) {
+        return link.data;
+      }
+      var node22 = this.graph.getNodeById(link.origin_id);
+      if (!node22) {
+        return link.data;
+      }
+      if (node22.updateOutputData) {
+        node22.updateOutputData(link.origin_slot);
+      } else if (node22.onExecute) {
+        node22.onExecute();
+      }
+      return link.data;
+    }
+    /**
+         * Retrieves the input data type (in case this supports multiple input types)
+         * @method getInputDataType
+         * @param {number} slot
+         * @return {String} datatype in string format
+         */
+    getInputDataType(slot) {
+      if (!this.inputs) {
+        return null;
+      }
+      if (slot >= this.inputs.length || this.inputs[slot].link == null) {
+        return null;
+      }
+      var link_id = this.inputs[slot].link;
+      var link = this.graph.links[link_id];
+      if (!link) {
+        return null;
+      }
+      var node22 = this.graph.getNodeById(link.origin_id);
+      if (!node22) {
+        return link.type;
+      }
+      var output_info = node22.outputs[link.origin_slot];
+      if (output_info) {
+        return output_info.type;
+      }
+      return null;
+    }
+    /**
+         * Retrieves the input data from one slot using its name instead of slot number
+         * @method getInputDataByName
+         * @param {String} slot_name
+         * @param {boolean} force_update if set to true it will force the connected node of this slot to output data into this link
+         * @return {*} data or if it is not connected returns null
+         */
+    getInputDataByName(slot_name, force_update) {
+      var slot = this.findInputSlot(slot_name);
+      if (slot == -1) {
+        return null;
+      }
+      return this.getInputData(slot, force_update);
+    }
+    /**
+         * tells you if there is a connection in one input slot
+         * @method isInputConnected
+         * @param {number} slot
+         * @return {boolean}
+         */
+    isInputConnected(slot) {
+      if (!this.inputs) {
+        return false;
+      }
+      return slot < this.inputs.length && this.inputs[slot].link != null;
+    }
+    /**
+         * tells you info about an input connection (which node, type, etc)
+         * @method getInputInfo
+         * @param {number} slot
+         * @return {Object} object or null { link: id, name: string, type: string or 0 }
+         */
+    getInputInfo(slot) {
+      if (!this.inputs) {
+        return null;
+      }
+      if (slot < this.inputs.length) {
+        return this.inputs[slot];
+      }
+      return null;
+    }
+    /**
+         * Returns the link info in the connection of an input slot
+         * @method getInputLink
+         * @param {number} slot
+         * @return {LLink} object or null
+         */
+    getInputLink(slot) {
+      if (!this.inputs) {
+        return null;
+      }
+      if (slot < this.inputs.length) {
+        var slot_info = this.inputs[slot];
+        return this.graph.links[slot_info.link];
+      }
+      return null;
+    }
+    /**
+         * returns the node connected in the input slot
+         * @method getInputNode
+         * @param {number} slot
+         * @return {LGraphNode} node or null
+         */
+    getInputNode(slot) {
+      if (!this.inputs) {
+        return null;
+      }
+      if (slot >= this.inputs.length) {
+        return null;
+      }
+      var input = this.inputs[slot];
+      if (!input || input.link === null) {
+        return null;
+      }
+      var link_info = this.graph.links[input.link];
+      if (!link_info) {
+        return null;
+      }
+      return this.graph.getNodeById(link_info.origin_id);
+    }
+    /**
+         * returns the value of an input with this name, otherwise checks if there is a property with that name
+         * @method getInputOrProperty
+         * @param {string} name
+         * @return {*} value
+         */
+    getInputOrProperty(name) {
+      if (!this.inputs || !this.inputs.length) {
+        return this.properties ? this.properties[name] : null;
+      }
+      for (var i2 = 0, l = this.inputs.length; i2 < l; ++i2) {
+        var input_info = this.inputs[i2];
+        if (name == input_info.name && input_info.link != null) {
+          var link = this.graph.links[input_info.link];
+          if (link) {
+            return link.data;
+          }
+        }
+      }
+      return this.properties[name];
+    }
+    /**
+         * tells you the last output data that went in that slot
+         * @method getOutputData
+         * @param {number} slot
+         * @return {Object}  object or null
+         */
+    getOutputData(slot) {
+      if (!this.outputs) {
+        return null;
+      }
+      if (slot >= this.outputs.length) {
+        return null;
+      }
+      var info = this.outputs[slot];
+      return info._data;
+    }
+    /**
+         * tells you info about an output connection (which node, type, etc)
+         * @method getOutputInfo
+         * @param {number} slot
+         * @return {Object}  object or null { name: string, type: string, links: [ ids of links in number ] }
+         */
+    getOutputInfo(slot) {
+      if (!this.outputs) {
+        return null;
+      }
+      if (slot < this.outputs.length) {
+        return this.outputs[slot];
+      }
+      return null;
+    }
+    /**
+         * tells you if there is a connection in one output slot
+         * @method isOutputConnected
+         * @param {number} slot
+         * @return {boolean}
+         */
+    isOutputConnected(slot) {
+      if (!this.outputs) {
+        return false;
+      }
+      return slot < this.outputs.length && this.outputs[slot].links && this.outputs[slot].links.length;
+    }
+    /**
+         * tells you if there is any connection in the output slots
+         * @method isAnyOutputConnected
+         * @return {boolean}
+         */
+    isAnyOutputConnected() {
+      if (!this.outputs) {
+        return false;
+      }
+      for (var i2 = 0; i2 < this.outputs.length; ++i2) {
+        if (this.outputs[i2].links && this.outputs[i2].links.length) {
+          return true;
+        }
+      }
+      return false;
+    }
+    /**
+         * retrieves all the nodes connected to this output slot
+         * @method getOutputNodes
+         * @param {number} slot
+         * @return {array}
+         */
+    getOutputNodes(slot) {
+      if (!this.outputs || this.outputs.length == 0) {
+        return null;
+      }
+      if (slot >= this.outputs.length) {
+        return null;
+      }
+      var output = this.outputs[slot];
+      if (!output.links || output.links.length == 0) {
+        return null;
+      }
+      var r = [];
+      for (var i2 = 0; i2 < output.links.length; i2++) {
+        var link_id = output.links[i2];
+        var link = this.graph.links[link_id];
+        if (link) {
+          var target_node = this.graph.getNodeById(link.target_id);
+          if (target_node) {
+            r.push(target_node);
+          }
+        }
+      }
+      return r;
+    }
+    addOnTriggerInput() {
+      var trigS = this.findInputSlot("onTrigger");
+      if (trigS == -1) {
+        //!trigS || 
+        this.addInput("onTrigger", LiteGraph.EVENT, { optional: true, nameLocked: true });
+        return this.findInputSlot("onTrigger");
+      }
+      return trigS;
+    }
+    addOnExecutedOutput() {
+      var trigS = this.findOutputSlot("onExecuted");
+      if (trigS == -1) {
+        //!trigS || 
+        this.addOutput("onExecuted", LiteGraph.ACTION, { optional: true, nameLocked: true });
+        return this.findOutputSlot("onExecuted");
+      }
+      return trigS;
+    }
+    onAfterExecuteNode(param, options3) {
+      var trigS = this.findOutputSlot("onExecuted");
+      if (trigS != -1) {
+        this.triggerSlot(trigS, param, null, options3);
+      }
+    }
+    changeMode(modeTo) {
+      switch (modeTo) {
+        case LiteGraph.ON_EVENT:
+          break;
+        case LiteGraph.ON_TRIGGER:
+          this.addOnTriggerInput();
+          this.addOnExecutedOutput();
+          break;
+        case LiteGraph.NEVER:
+          break;
+        case LiteGraph.ALWAYS:
+          break;
+        case LiteGraph.ON_REQUEST:
+          break;
+        default:
+          return false;
+      }
+      this.mode = modeTo;
+      return true;
+    }
+    /**
+         * Triggers the node code execution, place a boolean/counter to mark the node as being executed
+         * @method execute
+         * @param {*} param
+         * @param {*} options
+         */
+    doExecute(param, options3) {
+      options3 = options3 || {};
+      if (this.onExecute) {
+        if (!options3.action_call) options3.action_call = this.id + "_exec_" + Math.floor(Math.random() * 9999);
+        this.graph.nodes_executing[this.id] = true;
+        this.onExecute(param, options3);
+        this.graph.nodes_executing[this.id] = false;
+        this.exec_version = this.graph.iteration;
+        if (options3 && options3.action_call) {
+          this.action_call = options3.action_call;
+          this.graph.nodes_executedAction[this.id] = options3.action_call;
+        }
+      }
+      this.execute_triggered = 2;
+      if (this.onAfterExecuteNode) this.onAfterExecuteNode(param, options3);
+    }
+    /**
+         * Triggers an action, wrapped by logics to control execution flow
+         * @method actionDo
+         * @param {String} action name
+         * @param {*} param
+         */
+    actionDo(action, param, options3) {
+      options3 = options3 || {};
+      if (this.onAction) {
+        if (!options3.action_call) options3.action_call = this.id + "_" + (action ? action : "action") + "_" + Math.floor(Math.random() * 9999);
+        this.graph.nodes_actioning[this.id] = action ? action : "actioning";
+        this.onAction(action, param, options3);
+        this.graph.nodes_actioning[this.id] = false;
+        if (options3 && options3.action_call) {
+          this.action_call = options3.action_call;
+          this.graph.nodes_executedAction[this.id] = options3.action_call;
+        }
+      }
+      this.action_triggered = 2;
+      if (this.onAfterExecuteNode) this.onAfterExecuteNode(param, options3);
+    }
+    /**
+         * Triggers an event in this node, this will trigger any output with the same name
+         * @method trigger
+         * @param {String} event name ( "on_play", ... ) if action is equivalent to false then the event is send to all
+         * @param {*} param
+         */
+    trigger(action, param, options3) {
+      if (!this.outputs || !this.outputs.length) {
+        return;
+      }
+      if (this.graph)
+        this.graph._last_trigger_time = LiteGraph.getTime();
+      for (var i2 = 0; i2 < this.outputs.length; ++i2) {
+        var output = this.outputs[i2];
+        if (!output || output.type !== LiteGraph.EVENT || action && output.name != action)
+          continue;
+        this.triggerSlot(i2, param, null, options3);
+      }
+    }
+    /**
+         * Triggers a slot event in this node: cycle output slots and launch execute/action on connected nodes
+         * @method triggerSlot
+         * @param {Number} slot the index of the output slot
+         * @param {*} param
+         * @param {Number} link_id [optional] in case you want to trigger and specific output link in a slot
+         */
+    triggerSlot(slot, param, link_id, options3) {
+      options3 = options3 || {};
+      if (!this.outputs) {
+        return;
+      }
+      if (slot == null) {
+        console.error("slot must be a number");
+        return;
+      }
+      if (slot.constructor !== Number)
+        console.warn("slot must be a number, use node.trigger('name') if you want to use a string");
+      var output = this.outputs[slot];
+      if (!output) {
+        return;
+      }
+      var links = output.links;
+      if (!links || !links.length) {
+        return;
+      }
+      if (this.graph) {
+        this.graph._last_trigger_time = LiteGraph.getTime();
+      }
+      for (var k = 0; k < links.length; ++k) {
+        var id2 = links[k];
+        if (link_id != null && link_id != id2) {
+          continue;
+        }
+        var link_info = this.graph.links[links[k]];
+        if (!link_info) {
+          continue;
+        }
+        link_info._last_time = LiteGraph.getTime();
+        var node22 = this.graph.getNodeById(link_info.target_id);
+        if (!node22) {
+          continue;
+        }
+        var target_connection = node22.inputs[link_info.target_slot];
+        if (node22.mode === LiteGraph.ON_TRIGGER) {
+          if (!options3.action_call) options3.action_call = this.id + "_trigg_" + Math.floor(Math.random() * 9999);
+          if (node22.onExecute) {
+            node22.doExecute(param, options3);
+          }
+        } else if (node22.onAction) {
+          if (!options3.action_call) options3.action_call = this.id + "_act_" + Math.floor(Math.random() * 9999);
+          var target_connection = node22.inputs[link_info.target_slot];
+          node22.actionDo(target_connection.name, param, options3);
+        }
+      }
+    }
+    /**
+         * clears the trigger slot animation
+         * @method clearTriggeredSlot
+         * @param {Number} slot the index of the output slot
+         * @param {Number} link_id [optional] in case you want to trigger and specific output link in a slot
+         */
+    clearTriggeredSlot(slot, link_id) {
+      if (!this.outputs) {
+        return;
+      }
+      var output = this.outputs[slot];
+      if (!output) {
+        return;
+      }
+      var links = output.links;
+      if (!links || !links.length) {
+        return;
+      }
+      for (var k = 0; k < links.length; ++k) {
+        var id2 = links[k];
+        if (link_id != null && link_id != id2) {
+          continue;
+        }
+        var link_info = this.graph.links[links[k]];
+        if (!link_info) {
+          continue;
+        }
+        link_info._last_time = 0;
+      }
+    }
+    /**
+         * changes node size and triggers callback
+         * @method setSize
+         * @param {vec2} size
+         */
+    setSize(size2) {
+      this.size = size2;
+      if (this.onResize)
+        this.onResize(this.size);
+    }
+    /**
+         * add a new property to this node
+         * @method addProperty
+         * @param {string} name
+         * @param {*} default_value
+         * @param {string} type string defining the output type ("vec3","number",...)
+         * @param {Object} extra_info this can be used to have special properties of the property (like values, etc)
+         */
+    addProperty(name, default_value, type, extra_info) {
+      var o = { name, type, default_value };
+      if (extra_info) {
+        for (var i2 in extra_info) {
+          o[i2] = extra_info[i2];
+        }
+      }
+      if (!this.properties_info) {
+        this.properties_info = [];
+      }
+      this.properties_info.push(o);
+      if (!this.properties) {
+        this.properties = {};
+      }
+      this.properties[name] = default_value;
+      return o;
+    }
+    //connections
+    /**
+         * add a new output slot to use in this node
+         * @method addOutput
+         * @param {string} name
+         * @param {string} type string defining the output type ("vec3","number",...)
+         * @param {Object} extra_info this can be used to have special properties of an output (label, special color, position, etc)
+         */
+    addOutput(name, type, extra_info) {
+      var output = { name, type, links: null };
+      if (extra_info) {
+        for (var i2 in extra_info) {
+          output[i2] = extra_info[i2];
+        }
+      }
+      if (!this.outputs) {
+        this.outputs = [];
+      }
+      this.outputs.push(output);
+      if (this.onOutputAdded) {
+        this.onOutputAdded(output);
+      }
+      if (LiteGraph.auto_load_slot_types) LiteGraph.registerNodeAndSlotType(this, type, true);
+      this.setSize(this.computeSize());
+      this.setDirtyCanvas(true, true);
+      return output;
+    }
+    /**
+         * add a new output slot to use in this node
+         * @method addOutputs
+         * @param {Array} array of triplets like [[name,type,extra_info],[...]]
+         */
+    addOutputs(array) {
+      for (var i2 = 0; i2 < array.length; ++i2) {
+        var info = array[i2];
+        var o = { name: info[0], type: info[1], link: null };
+        if (array[2]) {
+          for (var j in info[2]) {
+            o[j] = info[2][j];
+          }
+        }
+        if (!this.outputs) {
+          this.outputs = [];
+        }
+        this.outputs.push(o);
+        if (this.onOutputAdded) {
+          this.onOutputAdded(o);
+        }
+        if (LiteGraph.auto_load_slot_types) LiteGraph.registerNodeAndSlotType(this, info[1], true);
+      }
+      this.setSize(this.computeSize());
+      this.setDirtyCanvas(true, true);
+    }
+    /**
+         * remove an existing output slot
+         * @method removeOutput
+         * @param {number} slot
+         */
+    removeOutput(slot) {
+      this.disconnectOutput(slot);
+      this.outputs.splice(slot, 1);
+      for (var i2 = slot; i2 < this.outputs.length; ++i2) {
+        if (!this.outputs[i2] || !this.outputs[i2].links) {
+          continue;
+        }
+        var links = this.outputs[i2].links;
+        for (var j = 0; j < links.length; ++j) {
+          var link = this.graph.links[links[j]];
+          if (!link) {
+            continue;
+          }
+          link.origin_slot -= 1;
+        }
+      }
+      this.setSize(this.computeSize());
+      if (this.onOutputRemoved) {
+        this.onOutputRemoved(slot);
+      }
+      this.setDirtyCanvas(true, true);
+    }
+    /**
+         * add a new input slot to use in this node
+         * @method addInput
+         * @param {string} name
+         * @param {string} type string defining the input type ("vec3","number",...), it its a generic one use 0
+         * @param {Object} extra_info this can be used to have special properties of an input (label, color, position, etc)
+         */
+    addInput(name, type, extra_info) {
+      type = type || 0;
+      var input = { name, type, link: null };
+      if (extra_info) {
+        for (var i2 in extra_info) {
+          input[i2] = extra_info[i2];
+        }
+      }
+      if (!this.inputs) {
+        this.inputs = [];
+      }
+      this.inputs.push(input);
+      this.setSize(this.computeSize());
+      if (this.onInputAdded) {
+        this.onInputAdded(input);
+      }
+      LiteGraph.registerNodeAndSlotType(this, type);
+      this.setDirtyCanvas(true, true);
+      return input;
+    }
+    /**
+         * add several new input slots in this node
+         * @method addInputs
+         * @param {Array} array of triplets like [[name,type,extra_info],[...]]
+         */
+    addInputs(array) {
+      for (var i2 = 0; i2 < array.length; ++i2) {
+        var info = array[i2];
+        var o = { name: info[0], type: info[1], link: null };
+        if (array[2]) {
+          for (var j in info[2]) {
+            o[j] = info[2][j];
+          }
+        }
+        if (!this.inputs) {
+          this.inputs = [];
+        }
+        this.inputs.push(o);
+        if (this.onInputAdded) {
+          this.onInputAdded(o);
+        }
+        LiteGraph.registerNodeAndSlotType(this, info[1]);
+      }
+      this.setSize(this.computeSize());
+      this.setDirtyCanvas(true, true);
+    }
+    /**
+         * remove an existing input slot
+         * @method removeInput
+         * @param {number} slot
+         */
+    removeInput(slot) {
+      this.disconnectInput(slot);
+      var slot_info = this.inputs.splice(slot, 1);
+      for (var i2 = slot; i2 < this.inputs.length; ++i2) {
+        if (!this.inputs[i2]) {
+          continue;
+        }
+        var link = this.graph.links[this.inputs[i2].link];
+        if (!link) {
+          continue;
+        }
+        link.target_slot -= 1;
+      }
+      this.setSize(this.computeSize());
+      if (this.onInputRemoved) {
+        this.onInputRemoved(slot, slot_info[0]);
+      }
+      this.setDirtyCanvas(true, true);
+    }
+    /**
+         * add an special connection to this node (used for special kinds of graphs)
+         * @method addConnection
+         * @param {string} name
+         * @param {string} type string defining the input type ("vec3","number",...)
+         * @param {[x,y]} pos position of the connection inside the node
+         * @param {string} direction if is input or output
+         */
+    addConnection(name, type, pos2, direction) {
+      var o = {
+        name,
+        type,
+        pos: pos2,
+        direction,
+        links: null
+      };
+      this.connections.push(o);
+      return o;
+    }
+    /**
+         * computes the minimum size of a node according to its inputs and output slots
+         * @method computeSize
+         * @param {vec2} minHeight
+         * @return {vec2} the total size
+         */
+    computeSize(out) {
+      if (this.constructor.size) {
+        return this.constructor.size.concat();
+      }
+      var rows = Math.max(
+        this.inputs ? this.inputs.length : 1,
+        this.outputs ? this.outputs.length : 1
+      );
+      var size2 = out || new Float32Array([0, 0]);
+      rows = Math.max(rows, 1);
+      var font_size = LiteGraph.NODE_TEXT_SIZE;
+      var title_width = compute_text_size(this.title);
+      var input_width = 0;
+      var output_width = 0;
+      if (this.inputs) {
+        for (var i2 = 0, l = this.inputs.length; i2 < l; ++i2) {
+          var input = this.inputs[i2];
+          var text = input.label || input.name || "";
+          var text_width = compute_text_size(text);
+          if (input_width < text_width) {
+            input_width = text_width;
+          }
+        }
+      }
+      if (this.outputs) {
+        for (var i2 = 0, l = this.outputs.length; i2 < l; ++i2) {
+          var output = this.outputs[i2];
+          var text = output.label || output.name || "";
+          var text_width = compute_text_size(text);
+          if (output_width < text_width) {
+            output_width = text_width;
+          }
+        }
+      }
+      size2[0] = Math.max(input_width + output_width + 10, title_width);
+      size2[0] = Math.max(size2[0], LiteGraph.NODE_WIDTH);
+      if (this.widgets && this.widgets.length) {
+        size2[0] = Math.max(size2[0], LiteGraph.NODE_WIDTH * 1.5);
+      }
+      size2[1] = (this.constructor.slot_start_y || 0) + rows * LiteGraph.NODE_SLOT_HEIGHT;
+      var widgets_height = 0;
+      if (this.widgets && this.widgets.length) {
+        for (var i2 = 0, l = this.widgets.length; i2 < l; ++i2) {
+          if (this.widgets[i2].computeSize)
+            widgets_height += this.widgets[i2].computeSize(size2[0])[1] + 4;
+          else
+            widgets_height += LiteGraph.NODE_WIDGET_HEIGHT + 4;
+        }
+        widgets_height += 8;
+      }
+      if (this.widgets_up)
+        size2[1] = Math.max(size2[1], widgets_height);
+      else if (this.widgets_start_y != null)
+        size2[1] = Math.max(size2[1], widgets_height + this.widgets_start_y);
+      else
+        size2[1] += widgets_height;
+      function compute_text_size(text2) {
+        if (!text2) {
+          return 0;
+        }
+        return font_size * text2.length * 0.6;
+      }
+      __name(compute_text_size, "compute_text_size");
+      if (this.constructor.min_height && size2[1] < this.constructor.min_height) {
+        size2[1] = this.constructor.min_height;
+      }
+      size2[1] += 6;
+      return size2;
+    }
+    inResizeCorner(canvasX, canvasY) {
+      var rows = this.outputs ? this.outputs.length : 1;
+      var outputs_offset = (this.constructor.slot_start_y || 0) + rows * LiteGraph.NODE_SLOT_HEIGHT;
+      return isInsideRectangle(
+        canvasX,
+        canvasY,
+        this.pos[0] + this.size[0] - 15,
+        this.pos[1] + Math.max(this.size[1] - 15, outputs_offset),
+        20,
+        20
+      );
+    }
+    /**
+         * returns all the info available about a property of this node.
+         *
+         * @method getPropertyInfo
+         * @param {String} property name of the property
+         * @return {Object} the object with all the available info
+        */
+    getPropertyInfo(property) {
+      var info = null;
+      if (this.properties_info) {
+        for (var i2 = 0; i2 < this.properties_info.length; ++i2) {
+          if (this.properties_info[i2].name == property) {
+            info = this.properties_info[i2];
+            break;
+          }
+        }
+      }
+      if (this.constructor["@" + property])
+        info = this.constructor["@" + property];
+      if (this.constructor.widgets_info && this.constructor.widgets_info[property])
+        info = this.constructor.widgets_info[property];
+      if (!info && this.onGetPropertyInfo) {
+        info = this.onGetPropertyInfo(property);
+      }
+      if (!info)
+        info = {};
+      if (!info.type)
+        info.type = typeof this.properties[property];
+      if (info.widget == "combo")
+        info.type = "enum";
+      return info;
+    }
+    /**
+         * Defines a widget inside the node, it will be rendered on top of the node, you can control lots of properties
+         *
+         * @method addWidget
+         * @param {String} type the widget type (could be "number","string","combo"
+         * @param {String} name the text to show on the widget
+         * @param {String} value the default value
+         * @param {Function|String} callback function to call when it changes (optionally, it can be the name of the property to modify)
+         * @param {Object} options the object that contains special properties of this widget
+         * @return {Object} the created widget object
+         */
+    addWidget(type, name, value3, callback, options3) {
+      if (!this.widgets) {
+        this.widgets = [];
+      }
+      if (!options3 && callback && callback.constructor === Object) {
+        options3 = callback;
+        callback = null;
+      }
+      if (options3 && options3.constructor === String)
+        options3 = { property: options3 };
+      if (callback && callback.constructor === String) {
+        if (!options3)
+          options3 = {};
+        options3.property = callback;
+        callback = null;
+      }
+      if (callback && callback.constructor !== Function) {
+        console.warn("addWidget: callback must be a function");
+        callback = null;
+      }
+      var w2 = {
+        type: type.toLowerCase(),
+        name,
+        value: value3,
+        callback,
+        options: options3 || {}
+      };
+      if (w2.options.y !== void 0) {
+        w2.y = w2.options.y;
+      }
+      if (!callback && !w2.options.callback && !w2.options.property) {
+        console.warn("LiteGraph addWidget(...) without a callback or property assigned");
+      }
+      if (type == "combo" && !w2.options.values) {
+        throw "LiteGraph addWidget('combo',...) requires to pass values in options: { values:['red','blue'] }";
+      }
+      this.widgets.push(w2);
+      this.setSize(this.computeSize());
+      return w2;
+    }
+    addCustomWidget(custom_widget) {
+      if (!this.widgets) {
+        this.widgets = [];
+      }
+      this.widgets.push(custom_widget);
+      return custom_widget;
+    }
+    /**
+         * returns the bounding of the object, used for rendering purposes
+         * @method getBounding
+         * @param out {Float32Array[4]?} [optional] a place to store the output, to free garbage
+         * @param compute_outer {boolean?} [optional] set to true to include the shadow and connection points in the bounding calculation
+         * @return {Float32Array[4]} the bounding box in format of [topleft_cornerx, topleft_cornery, width, height]
+         */
+    getBounding(out, compute_outer) {
+      out = out || new Float32Array(4);
+      const nodePos = this.pos;
+      const isCollapsed = this.flags.collapsed;
+      const nodeSize = this.size;
+      let left_offset = 0;
+      let right_offset = 1;
+      let top_offset = 0;
+      let bottom_offset = 0;
+      if (compute_outer) {
+        left_offset = 4;
+        right_offset = 6 + left_offset;
+        top_offset = 4;
+        bottom_offset = 5 + top_offset;
+      }
+      out[0] = nodePos[0] - left_offset;
+      out[1] = nodePos[1] - LiteGraph.NODE_TITLE_HEIGHT - top_offset;
+      out[2] = isCollapsed ? (this._collapsed_width || LiteGraph.NODE_COLLAPSED_WIDTH) + right_offset : nodeSize[0] + right_offset;
+      out[3] = isCollapsed ? LiteGraph.NODE_TITLE_HEIGHT + bottom_offset : nodeSize[1] + LiteGraph.NODE_TITLE_HEIGHT + bottom_offset;
+      if (this.onBounding) {
+        this.onBounding(out);
+      }
+      return out;
+    }
+    /**
+         * checks if a point is inside the shape of a node
+         * @method isPointInside
+         * @param {number} x
+         * @param {number} y
+         * @return {boolean}
+         */
+    isPointInside(x2, y2, margin, skip_title) {
+      margin = margin || 0;
+      var margin_top = this.graph && this.graph.isLive() ? 0 : LiteGraph.NODE_TITLE_HEIGHT;
+      if (skip_title) {
+        margin_top = 0;
+      }
+      if (this.flags && this.flags.collapsed) {
+        if (isInsideRectangle(
+          x2,
+          y2,
+          this.pos[0] - margin,
+          this.pos[1] - LiteGraph.NODE_TITLE_HEIGHT - margin,
+          (this._collapsed_width || LiteGraph.NODE_COLLAPSED_WIDTH) + 2 * margin,
+          LiteGraph.NODE_TITLE_HEIGHT + 2 * margin
+        )) {
+          return true;
+        }
+      } else if (this.pos[0] - 4 - margin < x2 && this.pos[0] + this.size[0] + 4 + margin > x2 && this.pos[1] - margin_top - margin < y2 && this.pos[1] + this.size[1] + margin > y2) {
+        return true;
+      }
+      return false;
+    }
+    /**
+         * checks if a point is inside a node slot, and returns info about which slot
+         * @method getSlotInPosition
+         * @param {number} x
+         * @param {number} y
+         * @return {Object} if found the object contains { input|output: slot object, slot: number, link_pos: [x,y] }
+         */
+    getSlotInPosition(x2, y2) {
+      var link_pos = new Float32Array(2);
+      if (this.inputs) {
+        for (var i2 = 0, l = this.inputs.length; i2 < l; ++i2) {
+          var input = this.inputs[i2];
+          this.getConnectionPos(true, i2, link_pos);
+          if (isInsideRectangle(
+            x2,
+            y2,
+            link_pos[0] - 10,
+            link_pos[1] - 5,
+            20,
+            10
+          )) {
+            return { input, slot: i2, link_pos };
+          }
+        }
+      }
+      if (this.outputs) {
+        for (var i2 = 0, l = this.outputs.length; i2 < l; ++i2) {
+          var output = this.outputs[i2];
+          this.getConnectionPos(false, i2, link_pos);
+          if (isInsideRectangle(
+            x2,
+            y2,
+            link_pos[0] - 10,
+            link_pos[1] - 5,
+            20,
+            10
+          )) {
+            return { output, slot: i2, link_pos };
+          }
+        }
+      }
+      return null;
+    }
+    /**
+         * returns the input slot with a given name (used for dynamic slots), -1 if not found
+         * @method findInputSlot
+         * @param {string} name the name of the slot
+         * @param {boolean} returnObj if the obj itself wanted
+         * @return {number_or_object} the slot (-1 if not found)
+         */
+    findInputSlot(name, returnObj) {
+      if (!this.inputs) {
+        return -1;
+      }
+      for (var i2 = 0, l = this.inputs.length; i2 < l; ++i2) {
+        if (name == this.inputs[i2].name) {
+          return !returnObj ? i2 : this.inputs[i2];
+        }
+      }
+      return -1;
+    }
+    /**
+         * returns the output slot with a given name (used for dynamic slots), -1 if not found
+         * @method findOutputSlot
+         * @param {string} name the name of the slot
+         * @param {boolean} returnObj if the obj itself wanted
+         * @return {number_or_object} the slot (-1 if not found)
+         */
+    findOutputSlot(name, returnObj) {
+      returnObj = returnObj || false;
+      if (!this.outputs) {
+        return -1;
+      }
+      for (var i2 = 0, l = this.outputs.length; i2 < l; ++i2) {
+        if (name == this.outputs[i2].name) {
+          return !returnObj ? i2 : this.outputs[i2];
+        }
+      }
+      return -1;
+    }
+    // TODO refactor: USE SINGLE findInput/findOutput functions! :: merge options
+    /**
+         * returns the first free input slot
+         * @method findInputSlotFree
+         * @param {object} options
+         * @return {number_or_object} the slot (-1 if not found)
+         */
+    findInputSlotFree(optsIn) {
+      var optsIn = optsIn || {};
+      var optsDef = {
+        returnObj: false,
+        typesNotAccepted: []
+      };
+      var opts = Object.assign(optsDef, optsIn);
+      if (!this.inputs) {
+        return -1;
+      }
+      for (var i2 = 0, l = this.inputs.length; i2 < l; ++i2) {
+        if (this.inputs[i2].link && this.inputs[i2].link != null) {
+          continue;
+        }
+        if (opts.typesNotAccepted && opts.typesNotAccepted.includes && opts.typesNotAccepted.includes(this.inputs[i2].type)) {
+          continue;
+        }
+        return !opts.returnObj ? i2 : this.inputs[i2];
+      }
+      return -1;
+    }
+    /**
+         * returns the first output slot free
+         * @method findOutputSlotFree
+         * @param {object} options
+         * @return {number_or_object} the slot (-1 if not found)
+         */
+    findOutputSlotFree(optsIn) {
+      var optsIn = optsIn || {};
+      var optsDef = {
+        returnObj: false,
+        typesNotAccepted: []
+      };
+      var opts = Object.assign(optsDef, optsIn);
+      if (!this.outputs) {
+        return -1;
+      }
+      for (var i2 = 0, l = this.outputs.length; i2 < l; ++i2) {
+        if (this.outputs[i2].links && this.outputs[i2].links != null) {
+          continue;
+        }
+        if (opts.typesNotAccepted && opts.typesNotAccepted.includes && opts.typesNotAccepted.includes(this.outputs[i2].type)) {
+          continue;
+        }
+        return !opts.returnObj ? i2 : this.outputs[i2];
+      }
+      return -1;
+    }
+    /**
+         * findSlotByType for INPUTS
+         */
+    findInputSlotByType(type, returnObj, preferFreeSlot, doNotUseOccupied) {
+      return this.findSlotByType(true, type, returnObj, preferFreeSlot, doNotUseOccupied);
+    }
+    /**
+         * findSlotByType for OUTPUTS
+         */
+    findOutputSlotByType(type, returnObj, preferFreeSlot, doNotUseOccupied) {
+      return this.findSlotByType(false, type, returnObj, preferFreeSlot, doNotUseOccupied);
+    }
+    /**
+         * returns the output (or input) slot with a given type, -1 if not found
+         * @method findSlotByType
+         * @param {boolean} input uise inputs instead of outputs
+         * @param {string} type the type of the slot
+         * @param {boolean} returnObj if the obj itself wanted
+         * @param {boolean} preferFreeSlot if we want a free slot (if not found, will return the first of the type anyway)
+         * @return {number_or_object} the slot (-1 if not found)
+         */
+    findSlotByType(input, type, returnObj, preferFreeSlot, doNotUseOccupied) {
+      input = input || false;
+      returnObj = returnObj || false;
+      preferFreeSlot = preferFreeSlot || false;
+      doNotUseOccupied = doNotUseOccupied || false;
+      var aSlots = input ? this.inputs : this.outputs;
+      if (!aSlots) {
+        return -1;
+      }
+      if (type == "" || type == "*") type = 0;
+      for (var i2 = 0, l = aSlots.length; i2 < l; ++i2) {
+        var aSource = (type + "").toLowerCase().split(",");
+        var aDest = aSlots[i2].type == "0" || aSlots[i2].type == "*" ? "0" : aSlots[i2].type;
+        aDest = (aDest + "").toLowerCase().split(",");
+        for (var sI = 0; sI < aSource.length; sI++) {
+          for (var dI = 0; dI < aDest.length; dI++) {
+            if (aSource[sI] == "_event_") aSource[sI] = LiteGraph.EVENT;
+            if (aDest[sI] == "_event_") aDest[sI] = LiteGraph.EVENT;
+            if (aSource[sI] == "*") aSource[sI] = 0;
+            if (aDest[sI] == "*") aDest[sI] = 0;
+            if (aSource[sI] == aDest[dI]) {
+              if (preferFreeSlot && (aSlots[i2].links && aSlots[i2].links !== null) || aSlots[i2].link && aSlots[i2].link !== null) continue;
+              return !returnObj ? i2 : aSlots[i2];
+            }
+          }
+        }
+      }
+      if (preferFreeSlot && !doNotUseOccupied) {
+        for (var i2 = 0, l = aSlots.length; i2 < l; ++i2) {
+          var aSource = (type + "").toLowerCase().split(",");
+          var aDest = aSlots[i2].type == "0" || aSlots[i2].type == "*" ? "0" : aSlots[i2].type;
+          aDest = (aDest + "").toLowerCase().split(",");
+          for (var sI = 0; sI < aSource.length; sI++) {
+            for (var dI = 0; dI < aDest.length; dI++) {
+              if (aSource[sI] == "*") aSource[sI] = 0;
+              if (aDest[sI] == "*") aDest[sI] = 0;
+              if (aSource[sI] == aDest[dI]) {
+                return !returnObj ? i2 : aSlots[i2];
+              }
+            }
+          }
+        }
+      }
+      return -1;
+    }
+    /**
+         * connect this node output to the input of another node BY TYPE
+         * @method connectByType
+         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)
+         * @param {LGraphNode} node the target node
+         * @param {string} target_type the input slot type of the target node
+         * @return {Object} the link_info is created, otherwise null
+         */
+    connectByType(slot, target_node, target_slotType, optsIn) {
+      var optsIn = optsIn || {};
+      var optsDef = {
+        createEventInCase: true,
+        firstFreeIfOutputGeneralInCase: true,
+        generalTypeInCase: true
+      };
+      var opts = Object.assign(optsDef, optsIn);
+      if (target_node && target_node.constructor === Number) {
+        target_node = this.graph.getNodeById(target_node);
+      }
+      var target_slot = target_node.findInputSlotByType(target_slotType, false, true);
+      if (target_slot >= 0 && target_slot !== null) {
+        return this.connect(slot, target_node, target_slot);
+      } else {
+        if (opts.createEventInCase && target_slotType == LiteGraph.EVENT) {
+          return this.connect(slot, target_node, -1);
+        }
+        if (opts.generalTypeInCase) {
+          var target_slot = target_node.findInputSlotByType(0, false, true, true);
+          if (target_slot >= 0) {
+            return this.connect(slot, target_node, target_slot);
+          }
+        }
+        if (opts.firstFreeIfOutputGeneralInCase && (target_slotType == 0 || target_slotType == "*" || target_slotType == "")) {
+          var target_slot = target_node.findInputSlotFree({ typesNotAccepted: [LiteGraph.EVENT] });
+          if (target_slot >= 0) {
+            return this.connect(slot, target_node, target_slot);
+          }
+        }
+        console.debug("no way to connect type: ", target_slotType, " to targetNODE ", target_node);
+        return null;
+      }
+    }
+    /**
+         * connect this node input to the output of another node BY TYPE
+         * @method connectByType
+         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)
+         * @param {LGraphNode} node the target node
+         * @param {string} target_type the output slot type of the target node
+         * @return {Object} the link_info is created, otherwise null
+         */
+    connectByTypeOutput(slot, source_node, source_slotType, optsIn) {
+      var optsIn = optsIn || {};
+      var optsDef = {
+        createEventInCase: true,
+        firstFreeIfInputGeneralInCase: true,
+        generalTypeInCase: true
+      };
+      var opts = Object.assign(optsDef, optsIn);
+      if (source_node && source_node.constructor === Number) {
+        source_node = this.graph.getNodeById(source_node);
+      }
+      var source_slot = source_node.findOutputSlotByType(source_slotType, false, true);
+      if (source_slot >= 0 && source_slot !== null) {
+        return source_node.connect(source_slot, this, slot);
+      } else {
+        if (opts.generalTypeInCase) {
+          var source_slot = source_node.findOutputSlotByType(0, false, true, true);
+          if (source_slot >= 0) {
+            return source_node.connect(source_slot, this, slot);
+          }
+        }
+        if (opts.createEventInCase && source_slotType == LiteGraph.EVENT) {
+          if (LiteGraph.do_add_triggers_slots) {
+            var source_slot = source_node.addOnExecutedOutput();
+            return source_node.connect(source_slot, this, slot);
+          }
+        }
+        if (opts.firstFreeIfInputGeneralInCase && (source_slotType == 0 || source_slotType == "*" || source_slotType == "")) {
+          var source_slot = source_node.findOutputSlotFree({ typesNotAccepted: [LiteGraph.EVENT] });
+          if (source_slot >= 0) {
+            return source_node.connect(source_slot, this, slot);
+          }
+        }
+        console.debug("no way to connect byOUT type: ", source_slotType, " to sourceNODE ", source_node);
+        return null;
+      }
+    }
+    /**
+         * connect this node output to the input of another node
+         * @method connect
+         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)
+         * @param {LGraphNode} node the target node
+         * @param {number_or_string} target_slot the input slot of the target node (could be the number of the slot or the string with the name of the slot, or -1 to connect a trigger)
+         * @return {Object} the link_info is created, otherwise null
+         */
+    connect(slot, target_node, target_slot) {
+      target_slot = target_slot || 0;
+      if (!this.graph) {
+        console.log(
+          "Connect: Error, node doesn't belong to any graph. Nodes must be added first to a graph before connecting them."
+        );
+        return null;
+      }
+      if (slot.constructor === String) {
+        slot = this.findOutputSlot(slot);
+        if (slot == -1) {
+          if (LiteGraph.debug) {
+            console.log("Connect: Error, no slot of name " + slot);
+          }
+          return null;
+        }
+      } else if (!this.outputs || slot >= this.outputs.length) {
+        if (LiteGraph.debug) {
+          console.log("Connect: Error, slot number not found");
+        }
+        return null;
+      }
+      if (target_node && target_node.constructor === Number) {
+        target_node = this.graph.getNodeById(target_node);
+      }
+      if (!target_node) {
+        throw "target node is null";
+      }
+      if (target_node == this) {
+        return null;
+      }
+      if (target_slot.constructor === String) {
+        target_slot = target_node.findInputSlot(target_slot);
+        if (target_slot == -1) {
+          if (LiteGraph.debug) {
+            console.log(
+              "Connect: Error, no slot of name " + target_slot
+            );
+          }
+          return null;
+        }
+      } else if (target_slot === LiteGraph.EVENT) {
+        if (LiteGraph.do_add_triggers_slots) {
+          target_node.changeMode(LiteGraph.ON_TRIGGER);
+          target_slot = target_node.findInputSlot("onTrigger");
+        } else {
+          return null;
+        }
+      } else if (!target_node.inputs || target_slot >= target_node.inputs.length) {
+        if (LiteGraph.debug) {
+          console.log("Connect: Error, slot number not found");
+        }
+        return null;
+      }
+      var changed = false;
+      var input = target_node.inputs[target_slot];
+      var link_info = null;
+      var output = this.outputs[slot];
+      if (!this.outputs[slot]) {
+        return null;
+      }
+      if (target_node.onBeforeConnectInput) {
+        target_slot = target_node.onBeforeConnectInput(target_slot);
+      }
+      if (target_slot === false || target_slot === null || !LiteGraph.isValidConnection(output.type, input.type)) {
+        this.setDirtyCanvas(false, true);
+        if (changed)
+          this.graph.connectionChange(this, link_info);
+        return null;
+      }
+      if (target_node.onConnectInput) {
+        if (target_node.onConnectInput(target_slot, output.type, output, this, slot) === false) {
+          return null;
+        }
+      }
+      if (this.onConnectOutput) {
+        if (this.onConnectOutput(slot, input.type, input, target_node, target_slot) === false) {
+          return null;
+        }
+      }
+      if (target_node.inputs[target_slot] && target_node.inputs[target_slot].link != null) {
+        this.graph.beforeChange();
+        target_node.disconnectInput(target_slot, { doProcessChange: false });
+        changed = true;
+      }
+      if (output.links !== null && output.links.length) {
+        switch (output.type) {
+          case LiteGraph.EVENT:
+            if (!LiteGraph.allow_multi_output_for_events) {
+              this.graph.beforeChange();
+              this.disconnectOutput(slot, false, { doProcessChange: false });
+              changed = true;
+            }
+            break;
+        }
+      }
+      var nextId;
+      if (LiteGraph.use_uuids)
+        nextId = LiteGraph.uuidv4();
+      else
+        nextId = ++this.graph.last_link_id;
+      link_info = new LLink(
+        nextId,
+        input.type || output.type,
+        this.id,
+        slot,
+        target_node.id,
+        target_slot
+      );
+      this.graph.links[link_info.id] = link_info;
+      if (output.links == null) {
+        output.links = [];
+      }
+      output.links.push(link_info.id);
+      target_node.inputs[target_slot].link = link_info.id;
+      if (this.graph) {
+        this.graph._version++;
+      }
+      if (this.onConnectionsChange) {
+        this.onConnectionsChange(
+          LiteGraph.OUTPUT,
+          slot,
+          true,
+          link_info,
+          output
+        );
+      }
+      if (target_node.onConnectionsChange) {
+        target_node.onConnectionsChange(
+          LiteGraph.INPUT,
+          target_slot,
+          true,
+          link_info,
+          input
+        );
+      }
+      if (this.graph && this.graph.onNodeConnectionChange) {
+        this.graph.onNodeConnectionChange(
+          LiteGraph.INPUT,
+          target_node,
+          target_slot,
+          this,
+          slot
+        );
+        this.graph.onNodeConnectionChange(
+          LiteGraph.OUTPUT,
+          this,
+          slot,
+          target_node,
+          target_slot
+        );
+      }
+      this.setDirtyCanvas(false, true);
+      this.graph.afterChange();
+      this.graph.connectionChange(this, link_info);
+      return link_info;
+    }
+    /**
+         * disconnect one output to an specific node
+         * @method disconnectOutput
+         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)
+         * @param {LGraphNode} target_node the target node to which this slot is connected [Optional, if not target_node is specified all nodes will be disconnected]
+         * @return {boolean} if it was disconnected successfully
+         */
+    disconnectOutput(slot, target_node) {
+      if (slot.constructor === String) {
+        slot = this.findOutputSlot(slot);
+        if (slot == -1) {
+          if (LiteGraph.debug) {
+            console.log("Connect: Error, no slot of name " + slot);
+          }
+          return false;
+        }
+      } else if (!this.outputs || slot >= this.outputs.length) {
+        if (LiteGraph.debug) {
+          console.log("Connect: Error, slot number not found");
+        }
+        return false;
+      }
+      var output = this.outputs[slot];
+      if (!output || !output.links || output.links.length == 0) {
+        return false;
+      }
+      if (target_node) {
+        if (target_node.constructor === Number) {
+          target_node = this.graph.getNodeById(target_node);
+        }
+        if (!target_node) {
+          throw "Target Node not found";
+        }
+        for (var i2 = 0, l = output.links.length; i2 < l; i2++) {
+          var link_id = output.links[i2];
+          var link_info = this.graph.links[link_id];
+          if (link_info.target_id == target_node.id) {
+            output.links.splice(i2, 1);
+            var input = target_node.inputs[link_info.target_slot];
+            input.link = null;
+            delete this.graph.links[link_id];
+            if (this.graph) {
+              this.graph._version++;
+            }
+            if (target_node.onConnectionsChange) {
+              target_node.onConnectionsChange(
+                LiteGraph.INPUT,
+                link_info.target_slot,
+                false,
+                link_info,
+                input
+              );
+            }
+            if (this.onConnectionsChange) {
+              this.onConnectionsChange(
+                LiteGraph.OUTPUT,
+                slot,
+                false,
+                link_info,
+                output
+              );
+            }
+            if (this.graph && this.graph.onNodeConnectionChange) {
+              this.graph.onNodeConnectionChange(
+                LiteGraph.OUTPUT,
+                this,
+                slot
+              );
+            }
+            if (this.graph && this.graph.onNodeConnectionChange) {
+              this.graph.onNodeConnectionChange(
+                LiteGraph.OUTPUT,
+                this,
+                slot
+              );
+              this.graph.onNodeConnectionChange(
+                LiteGraph.INPUT,
+                target_node,
+                link_info.target_slot
+              );
+            }
+            break;
+          }
+        }
+      } else {
+        for (var i2 = 0, l = output.links.length; i2 < l; i2++) {
+          var link_id = output.links[i2];
+          var link_info = this.graph.links[link_id];
+          if (!link_info) {
+            continue;
+          }
+          var target_node = this.graph.getNodeById(link_info.target_id);
+          var input = null;
+          if (this.graph) {
+            this.graph._version++;
+          }
+          if (target_node) {
+            input = target_node.inputs[link_info.target_slot];
+            input.link = null;
+            if (target_node.onConnectionsChange) {
+              target_node.onConnectionsChange(
+                LiteGraph.INPUT,
+                link_info.target_slot,
+                false,
+                link_info,
+                input
+              );
+            }
+            if (this.graph && this.graph.onNodeConnectionChange) {
+              this.graph.onNodeConnectionChange(
+                LiteGraph.INPUT,
+                target_node,
+                link_info.target_slot
+              );
+            }
+          }
+          delete this.graph.links[link_id];
+          if (this.onConnectionsChange) {
+            this.onConnectionsChange(
+              LiteGraph.OUTPUT,
+              slot,
+              false,
+              link_info,
+              output
+            );
+          }
+          if (this.graph && this.graph.onNodeConnectionChange) {
+            this.graph.onNodeConnectionChange(
+              LiteGraph.OUTPUT,
+              this,
+              slot
+            );
+            this.graph.onNodeConnectionChange(
+              LiteGraph.INPUT,
+              target_node,
+              link_info.target_slot
+            );
+          }
+        }
+        output.links = null;
+      }
+      this.setDirtyCanvas(false, true);
+      this.graph.connectionChange(this);
+      return true;
+    }
+    /**
+         * disconnect one input
+         * @method disconnectInput
+         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)
+         * @return {boolean} if it was disconnected successfully
+         */
+    disconnectInput(slot) {
+      if (slot.constructor === String) {
+        slot = this.findInputSlot(slot);
+        if (slot == -1) {
+          if (LiteGraph.debug) {
+            console.log("Connect: Error, no slot of name " + slot);
+          }
+          return false;
+        }
+      } else if (!this.inputs || slot >= this.inputs.length) {
+        if (LiteGraph.debug) {
+          console.log("Connect: Error, slot number not found");
+        }
+        return false;
+      }
+      var input = this.inputs[slot];
+      if (!input) {
+        return false;
+      }
+      var link_id = this.inputs[slot].link;
+      if (link_id != null) {
+        this.inputs[slot].link = null;
+        var link_info = this.graph.links[link_id];
+        if (link_info) {
+          var target_node = this.graph.getNodeById(link_info.origin_id);
+          if (!target_node) {
+            return false;
+          }
+          var output = target_node.outputs[link_info.origin_slot];
+          if (!output || !output.links || output.links.length == 0) {
+            return false;
+          }
+          for (var i2 = 0, l = output.links.length; i2 < l; i2++) {
+            if (output.links[i2] == link_id) {
+              output.links.splice(i2, 1);
+              break;
+            }
+          }
+          delete this.graph.links[link_id];
+          if (this.graph) {
+            this.graph._version++;
+          }
+          if (this.onConnectionsChange) {
+            this.onConnectionsChange(
+              LiteGraph.INPUT,
+              slot,
+              false,
+              link_info,
+              input
+            );
+          }
+          if (target_node.onConnectionsChange) {
+            target_node.onConnectionsChange(
+              LiteGraph.OUTPUT,
+              i2,
+              false,
+              link_info,
+              output
+            );
+          }
+          if (this.graph && this.graph.onNodeConnectionChange) {
+            this.graph.onNodeConnectionChange(
+              LiteGraph.OUTPUT,
+              target_node,
+              i2
+            );
+            this.graph.onNodeConnectionChange(LiteGraph.INPUT, this, slot);
+          }
+        }
+      }
+      this.setDirtyCanvas(false, true);
+      if (this.graph)
+        this.graph.connectionChange(this);
+      return true;
+    }
+    /**
+         * returns the center of a connection point in canvas coords
+         * @method getConnectionPos
+         * @param {boolean} is_input true if if a input slot, false if it is an output
+         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)
+         * @param {vec2} out [optional] a place to store the output, to free garbage
+         * @return {[x,y]} the position
+         **/
+    getConnectionPos(is_input, slot_number, out) {
+      out = out || new Float32Array(2);
+      var num_slots = 0;
+      if (is_input && this.inputs) {
+        num_slots = this.inputs.length;
+      }
+      if (!is_input && this.outputs) {
+        num_slots = this.outputs.length;
+      }
+      var offset = LiteGraph.NODE_SLOT_HEIGHT * 0.5;
+      if (this.flags.collapsed) {
+        var w2 = this._collapsed_width || LiteGraph.NODE_COLLAPSED_WIDTH;
+        if (this.horizontal) {
+          out[0] = this.pos[0] + w2 * 0.5;
+          if (is_input) {
+            out[1] = this.pos[1] - LiteGraph.NODE_TITLE_HEIGHT;
+          } else {
+            out[1] = this.pos[1];
+          }
+        } else {
+          if (is_input) {
+            out[0] = this.pos[0];
+          } else {
+            out[0] = this.pos[0] + w2;
+          }
+          out[1] = this.pos[1] - LiteGraph.NODE_TITLE_HEIGHT * 0.5;
+        }
+        return out;
+      }
+      if (is_input && slot_number == -1) {
+        out[0] = this.pos[0] + LiteGraph.NODE_TITLE_HEIGHT * 0.5;
+        out[1] = this.pos[1] + LiteGraph.NODE_TITLE_HEIGHT * 0.5;
+        return out;
+      }
+      if (is_input && num_slots > slot_number && this.inputs[slot_number].pos) {
+        out[0] = this.pos[0] + this.inputs[slot_number].pos[0];
+        out[1] = this.pos[1] + this.inputs[slot_number].pos[1];
+        return out;
+      } else if (!is_input && num_slots > slot_number && this.outputs[slot_number].pos) {
+        out[0] = this.pos[0] + this.outputs[slot_number].pos[0];
+        out[1] = this.pos[1] + this.outputs[slot_number].pos[1];
+        return out;
+      }
+      if (this.horizontal) {
+        out[0] = this.pos[0] + (slot_number + 0.5) * (this.size[0] / num_slots);
+        if (is_input) {
+          out[1] = this.pos[1] - LiteGraph.NODE_TITLE_HEIGHT;
+        } else {
+          out[1] = this.pos[1] + this.size[1];
+        }
+        return out;
+      }
+      if (is_input) {
+        out[0] = this.pos[0] + offset;
+      } else {
+        out[0] = this.pos[0] + this.size[0] + 1 - offset;
+      }
+      out[1] = this.pos[1] + (slot_number + 0.7) * LiteGraph.NODE_SLOT_HEIGHT + (this.constructor.slot_start_y || 0);
+      return out;
+    }
+    /* Force align to grid */
+    alignToGrid() {
+      this.pos[0] = LiteGraph.CANVAS_GRID_SIZE * Math.round(this.pos[0] / LiteGraph.CANVAS_GRID_SIZE);
+      this.pos[1] = LiteGraph.CANVAS_GRID_SIZE * Math.round(this.pos[1] / LiteGraph.CANVAS_GRID_SIZE);
+    }
+    /* Console output */
+    trace(msg) {
+      if (!this.console) {
+        this.console = [];
+      }
+      this.console.push(msg);
+      if (this.console.length > LGraphNode.MAX_CONSOLE) {
+        this.console.shift();
+      }
+      if (this.graph.onNodeTrace)
+        this.graph.onNodeTrace(this, msg);
+    }
+    /* Forces to redraw or the main canvas (LGraphNode) or the bg canvas (links) */
+    setDirtyCanvas(dirty_foreground, dirty_background) {
+      if (!this.graph) {
+        return;
+      }
+      this.graph.sendActionToCanvas("setDirty", [
+        dirty_foreground,
+        dirty_background
+      ]);
+    }
+    loadImage(url) {
+      var img = new Image();
+      img.src = LiteGraph.node_images_path + url;
+      img.ready = false;
+      var that2 = this;
+      img.onload = function() {
+        this.ready = true;
+        that2.setDirtyCanvas(true);
+      };
+      return img;
+    }
+    //safe LGraphNode action execution (not sure if safe)
+    /*
+    LGraphNode.prototype.executeAction = function(action)
+    {
+        if(action == "") return false;
+    
+        if( action.indexOf(";") != -1 || action.indexOf("}") != -1)
+        {
+            this.trace("Error: Action contains unsafe characters");
+            return false;
+        }
+    
+        var tokens = action.split("(");
+        var func_name = tokens[0];
+        if( typeof(this[func_name]) != "function")
+        {
+            this.trace("Error: Action not found on node: " + func_name);
+            return false;
+        }
+    
+        var code = action;
+    
+        try
+        {
+            var _foo = eval;
+            eval = null;
+            (new Function("with(this) { " + code + "}")).call(this);
+            eval = _foo;
+        }
+        catch (err)
+        {
+            this.trace("Error executing action {" + action + "} :" + err);
+            return false;
+        }
+    
+        return true;
+    }
+    */
+    /* Allows to get onMouseMove and onMouseUp events even if the mouse is out of focus */
+    captureInput(v2) {
+      if (!this.graph || !this.graph.list_of_graphcanvas) {
+        return;
+      }
+      var list = this.graph.list_of_graphcanvas;
+      for (var i2 = 0; i2 < list.length; ++i2) {
+        var c = list[i2];
+        if (!v2 && c.node_capturing_input != this) {
+          continue;
+        }
+        c.node_capturing_input = v2 ? this : null;
+      }
+    }
+    /**
+         * Collapse the node to make it smaller on the canvas
+         * @method collapse
+         **/
+    collapse(force) {
+      this.graph._version++;
+      if (this.constructor.collapsable === false && !force) {
+        return;
+      }
+      if (!this.flags.collapsed) {
+        this.flags.collapsed = true;
+      } else {
+        this.flags.collapsed = false;
+      }
+      this.setDirtyCanvas(true, true);
+    }
+    /**
+         * Forces the node to do not move or realign on Z
+         * @method pin
+         **/
+    pin(v2) {
+      this.graph._version++;
+      if (v2 === void 0) {
+        this.flags.pinned = !this.flags.pinned;
+      } else {
+        this.flags.pinned = v2;
+      }
+    }
+    localToScreen(x2, y2, graphcanvas) {
+      return [
+        (x2 + this.pos[0]) * graphcanvas.scale + graphcanvas.offset[0],
+        (y2 + this.pos[1]) * graphcanvas.scale + graphcanvas.offset[1]
+      ];
+    }
+  }
+  globalThis.LGraphNode = LiteGraph.LGraphNode = LGraphNode;
+  class LGraphGroup {
+    static {
+      __name(this, "LGraphGroup");
+    }
+    constructor(title) {
+      this._ctor(title);
+    }
+    _ctor(title) {
+      this.title = title || "Group";
+      this.font_size = LiteGraph.DEFAULT_GROUP_FONT || 24;
+      this.color = LGraphCanvas.node_colors.pale_blue ? LGraphCanvas.node_colors.pale_blue.groupcolor : "#AAA";
+      this._bounding = new Float32Array([10, 10, 140, 80]);
+      this._pos = this._bounding.subarray(0, 2);
+      this._size = this._bounding.subarray(2, 4);
+      this._nodes = [];
+      this.graph = null;
+      Object.defineProperty(this, "pos", {
+        set: /* @__PURE__ */ __name(function(v2) {
+          if (!v2 || v2.length < 2) {
+            return;
+          }
+          this._pos[0] = v2[0];
+          this._pos[1] = v2[1];
+        }, "set"),
+        get: /* @__PURE__ */ __name(function() {
+          return this._pos;
+        }, "get"),
+        enumerable: true
+      });
+      Object.defineProperty(this, "size", {
+        set: /* @__PURE__ */ __name(function(v2) {
+          if (!v2 || v2.length < 2) {
+            return;
+          }
+          this._size[0] = Math.max(140, v2[0]);
+          this._size[1] = Math.max(80, v2[1]);
+        }, "set"),
+        get: /* @__PURE__ */ __name(function() {
+          return this._size;
+        }, "get"),
+        enumerable: true
+      });
+    }
+    configure(o) {
+      this.title = o.title;
+      this._bounding.set(o.bounding);
+      this.color = o.color;
+      if (o.font_size) {
+        this.font_size = o.font_size;
+      }
+    }
+    serialize() {
+      var b = this._bounding;
+      return {
+        title: this.title,
+        bounding: [
+          Math.round(b[0]),
+          Math.round(b[1]),
+          Math.round(b[2]),
+          Math.round(b[3])
+        ],
+        color: this.color,
+        font_size: this.font_size
+      };
+    }
+    move(deltax, deltay, ignore_nodes) {
+      this._pos[0] += deltax;
+      this._pos[1] += deltay;
+      if (ignore_nodes) {
+        return;
+      }
+      for (var i2 = 0; i2 < this._nodes.length; ++i2) {
+        var node22 = this._nodes[i2];
+        node22.pos[0] += deltax;
+        node22.pos[1] += deltay;
+      }
+    }
+    recomputeInsideNodes() {
+      this._nodes.length = 0;
+      var nodes = this.graph._nodes;
+      var node_bounding = new Float32Array(4);
+      for (var i2 = 0; i2 < nodes.length; ++i2) {
+        var node22 = nodes[i2];
+        node22.getBounding(node_bounding);
+        if (!overlapBounding(this._bounding, node_bounding)) {
+          continue;
+        }
+        this._nodes.push(node22);
+      }
+    }
+    /**
+     * Add nodes to the group and adjust the group's position and size accordingly
+     * @param {LGraphNode[]} nodes - The nodes to add to the group
+     * @param {number} [padding=10] - The padding around the group
+     * @returns {void}
+     */
+    addNodes(nodes, padding = 10) {
+      if (!this._nodes && nodes.length === 0) return;
+      const allNodes = [...this._nodes || [], ...nodes];
+      const bounds = allNodes.reduce((acc, node22) => {
+        var _a;
+        const [x2, y2] = node22.pos;
+        const [width2, height] = node22.size;
+        const isReroute = node22.type === "Reroute";
+        const isCollapsed = (_a = node22.flags) == null ? void 0 : _a.collapsed;
+        const top = y2 - (isReroute ? 0 : LiteGraph.NODE_TITLE_HEIGHT);
+        const bottom = isCollapsed ? top + LiteGraph.NODE_TITLE_HEIGHT : y2 + height;
+        const right = isCollapsed && node22._collapsed_width ? x2 + Math.round(node22._collapsed_width) : x2 + width2;
+        return {
+          left: Math.min(acc.left, x2),
+          top: Math.min(acc.top, top),
+          right: Math.max(acc.right, right),
+          bottom: Math.max(acc.bottom, bottom)
+        };
+      }, { left: Infinity, top: Infinity, right: -Infinity, bottom: -Infinity });
+      const groupTitleHeight = Math.round(this.font_size * 1.4);
+      this.pos = [
+        bounds.left - padding,
+        bounds.top - padding - groupTitleHeight
+      ];
+      this.size = [
+        bounds.right - bounds.left + padding * 2,
+        bounds.bottom - bounds.top + padding * 2 + groupTitleHeight
+      ];
+    }
+  }
+  LGraphGroup.prototype.isPointInside = LGraphNode.prototype.isPointInside;
+  LGraphGroup.prototype.setDirtyCanvas = LGraphNode.prototype.setDirtyCanvas;
+  globalThis.LGraphGroup = LiteGraph.LGraphGroup = LGraphGroup;
+  class DragAndScale {
+    static {
+      __name(this, "DragAndScale");
+    }
+    constructor(element, skip_events) {
+      this.offset = new Float32Array([0, 0]);
+      this.scale = 1;
+      this.max_scale = 10;
+      this.min_scale = 0.1;
+      this.onredraw = null;
+      this.enabled = true;
+      this.last_mouse = [0, 0];
+      this.element = null;
+      this.visible_area = new Float32Array(4);
+      if (element) {
+        this.element = element;
+        if (!skip_events) {
+          this.bindEvents(element);
+        }
+      }
+    }
+    bindEvents(element) {
+      this.last_mouse = new Float32Array(2);
+      this._binded_mouse_callback = this.onMouse.bind(this);
+      LiteGraph.pointerListenerAdd(element, "down", this._binded_mouse_callback);
+      LiteGraph.pointerListenerAdd(element, "move", this._binded_mouse_callback);
+      LiteGraph.pointerListenerAdd(element, "up", this._binded_mouse_callback);
+      element.addEventListener(
+        "mousewheel",
+        this._binded_mouse_callback,
+        false
+      );
+      element.addEventListener("wheel", this._binded_mouse_callback, false);
+    }
+    computeVisibleArea(viewport) {
+      if (!this.element) {
+        this.visible_area[0] = this.visible_area[1] = this.visible_area[2] = this.visible_area[3] = 0;
+        return;
+      }
+      var width2 = this.element.width;
+      var height = this.element.height;
+      var startx = -this.offset[0];
+      var starty = -this.offset[1];
+      if (viewport) {
+        startx += viewport[0] / this.scale;
+        starty += viewport[1] / this.scale;
+        width2 = viewport[2];
+        height = viewport[3];
+      }
+      var endx = startx + width2 / this.scale;
+      var endy = starty + height / this.scale;
+      this.visible_area[0] = startx;
+      this.visible_area[1] = starty;
+      this.visible_area[2] = endx - startx;
+      this.visible_area[3] = endy - starty;
+    }
+    onMouse(e) {
+      if (!this.enabled) {
+        return;
+      }
+      var canvas = this.element;
+      var rect = canvas.getBoundingClientRect();
+      var x2 = e.clientX - rect.left;
+      var y2 = e.clientY - rect.top;
+      e.canvasx = x2;
+      e.canvasy = y2;
+      e.dragging = this.dragging;
+      var is_inside = !this.viewport || this.viewport && x2 >= this.viewport[0] && x2 < this.viewport[0] + this.viewport[2] && y2 >= this.viewport[1] && y2 < this.viewport[1] + this.viewport[3];
+      var ignore = false;
+      if (this.onmouse) {
+        ignore = this.onmouse(e);
+      }
+      if (e.type == LiteGraph.pointerevents_method + "down" && is_inside) {
+        this.dragging = true;
+        LiteGraph.pointerListenerRemove(canvas, "move", this._binded_mouse_callback);
+        LiteGraph.pointerListenerAdd(document, "move", this._binded_mouse_callback);
+        LiteGraph.pointerListenerAdd(document, "up", this._binded_mouse_callback);
+      } else if (e.type == LiteGraph.pointerevents_method + "move") {
+        if (!ignore) {
+          var deltax = x2 - this.last_mouse[0];
+          var deltay = y2 - this.last_mouse[1];
+          if (this.dragging) {
+            this.mouseDrag(deltax, deltay);
+          }
+        }
+      } else if (e.type == LiteGraph.pointerevents_method + "up") {
+        this.dragging = false;
+        LiteGraph.pointerListenerRemove(document, "move", this._binded_mouse_callback);
+        LiteGraph.pointerListenerRemove(document, "up", this._binded_mouse_callback);
+        LiteGraph.pointerListenerAdd(canvas, "move", this._binded_mouse_callback);
+      } else if (is_inside && (e.type == "mousewheel" || e.type == "wheel" || e.type == "DOMMouseScroll")) {
+        e.eventType = "mousewheel";
+        if (e.type == "wheel") {
+          e.wheel = -e.deltaY;
+        } else {
+          e.wheel = e.wheelDeltaY != null ? e.wheelDeltaY : e.detail * -60;
+        }
+        e.delta = e.wheelDelta ? e.wheelDelta / 40 : e.deltaY ? -e.deltaY / 3 : 0;
+        this.changeDeltaScale(1 + e.delta * 0.05);
+      }
+      this.last_mouse[0] = x2;
+      this.last_mouse[1] = y2;
+      if (is_inside) {
+        e.preventDefault();
+        e.stopPropagation();
+        return false;
+      }
+    }
+    toCanvasContext(ctx) {
+      ctx.scale(this.scale, this.scale);
+      ctx.translate(this.offset[0], this.offset[1]);
+    }
+    convertOffsetToCanvas(pos2) {
+      return [
+        (pos2[0] + this.offset[0]) * this.scale,
+        (pos2[1] + this.offset[1]) * this.scale
+      ];
+    }
+    convertCanvasToOffset(pos2, out) {
+      out = out || [0, 0];
+      out[0] = pos2[0] / this.scale - this.offset[0];
+      out[1] = pos2[1] / this.scale - this.offset[1];
+      return out;
+    }
+    mouseDrag(x2, y2) {
+      this.offset[0] += x2 / this.scale;
+      this.offset[1] += y2 / this.scale;
+      if (this.onredraw) {
+        this.onredraw(this);
+      }
+    }
+    changeScale(value3, zooming_center) {
+      if (value3 < this.min_scale) {
+        value3 = this.min_scale;
+      } else if (value3 > this.max_scale) {
+        value3 = this.max_scale;
+      }
+      if (value3 == this.scale) {
+        return;
+      }
+      if (!this.element) {
+        return;
+      }
+      var rect = this.element.getBoundingClientRect();
+      if (!rect) {
+        return;
+      }
+      zooming_center = zooming_center || [
+        rect.width * 0.5,
+        rect.height * 0.5
+      ];
+      var center = this.convertCanvasToOffset(zooming_center);
+      this.scale = value3;
+      if (Math.abs(this.scale - 1) < 0.01) {
+        this.scale = 1;
+      }
+      var new_center = this.convertCanvasToOffset(zooming_center);
+      var delta_offset = [
+        new_center[0] - center[0],
+        new_center[1] - center[1]
+      ];
+      this.offset[0] += delta_offset[0];
+      this.offset[1] += delta_offset[1];
+      if (this.onredraw) {
+        this.onredraw(this);
+      }
+    }
+    changeDeltaScale(value3, zooming_center) {
+      this.changeScale(this.scale * value3, zooming_center);
+    }
+    reset() {
+      this.scale = 1;
+      this.offset[0] = 0;
+      this.offset[1] = 0;
+    }
+  }
+  LiteGraph.DragAndScale = DragAndScale;
+  const _LGraphCanvas = class __LGraphCanvas {
+    static {
+      __name(this, "_LGraphCanvas");
+    }
+    constructor(canvas, graph, options3) {
+      this.options = options3 = options3 || {};
+      this.background_image = __LGraphCanvas.DEFAULT_BACKGROUND_IMAGE;
+      if (canvas && canvas.constructor === String) {
+        canvas = document.querySelector(canvas);
+      }
+      this.ds = new DragAndScale();
+      this.zoom_modify_alpha = true;
+      this.zoom_speed = 1.1;
+      this.title_text_font = "" + LiteGraph.NODE_TEXT_SIZE + "px Arial";
+      this.inner_text_font = "normal " + LiteGraph.NODE_SUBTEXT_SIZE + "px Arial";
+      this.node_title_color = LiteGraph.NODE_TITLE_COLOR;
+      this.default_link_color = LiteGraph.LINK_COLOR;
+      this.default_connection_color = {
+        input_off: "#778",
+        input_on: "#7F7",
+        //"#BBD"
+        output_off: "#778",
+        output_on: "#7F7"
+        //"#BBD"
+      };
+      this.default_connection_color_byType = {
+        /*number: "#7F7",
+        string: "#77F",
+        boolean: "#F77",*/
+      };
+      this.default_connection_color_byTypeOff = {
+        /*number: "#474",
+        string: "#447",
+        boolean: "#744",*/
+      };
+      this.highquality_render = true;
+      this.use_gradients = false;
+      this.editor_alpha = 1;
+      this.pause_rendering = false;
+      this.clear_background = true;
+      this.clear_background_color = "#222";
+      this.read_only = false;
+      this.render_only_selected = true;
+      this.live_mode = false;
+      this.show_info = true;
+      this.allow_dragcanvas = true;
+      this.allow_dragnodes = true;
+      this.allow_interaction = true;
+      this.multi_select = false;
+      this.allow_searchbox = true;
+      this.allow_reconnect_links = true;
+      this.align_to_grid = false;
+      this.drag_mode = false;
+      this.dragging_rectangle = null;
+      this.filter = null;
+      this.set_canvas_dirty_on_mouse_event = true;
+      this.always_render_background = false;
+      this.render_shadows = true;
+      this.render_canvas_border = true;
+      this.render_connections_shadows = false;
+      this.render_connections_border = true;
+      this.render_curved_connections = false;
+      this.render_connection_arrows = false;
+      this.render_collapsed_slots = true;
+      this.render_execution_order = false;
+      this.render_title_colored = true;
+      this.render_link_tooltip = true;
+      this.links_render_mode = LiteGraph.SPLINE_LINK;
+      this.mouse = [0, 0];
+      this.graph_mouse = [0, 0];
+      this.canvas_mouse = this.graph_mouse;
+      this.onSearchBox = null;
+      this.onSearchBoxSelection = null;
+      this.onMouse = null;
+      this.onDrawBackground = null;
+      this.onDrawForeground = null;
+      this.onDrawOverlay = null;
+      this.onDrawLinkTooltip = null;
+      this.onNodeMoved = null;
+      this.onSelectionChange = null;
+      this.onConnectingChange = null;
+      this.onBeforeChange = null;
+      this.onAfterChange = null;
+      this.connections_width = 3;
+      this.round_radius = 8;
+      this.current_node = null;
+      this.node_widget = null;
+      this.over_link_center = null;
+      this.last_mouse_position = [0, 0];
+      this.visible_area = this.ds.visible_area;
+      this.visible_links = [];
+      this.connecting_links = null;
+      this.viewport = options3.viewport || null;
+      if (graph) {
+        graph.attachCanvas(this);
+      }
+      this.setCanvas(canvas, options3.skip_events);
+      this.clear();
+      if (!options3.skip_render) {
+        this.startRendering();
+      }
+      this.autoresize = options3.autoresize;
+    }
+    static getFileExtension(url) {
+      var question = url.indexOf("?");
+      if (question != -1) {
+        url = url.substr(0, question);
+      }
+      var point = url.lastIndexOf(".");
+      if (point == -1) {
+        return "";
+      }
+      return url.substr(point + 1).toLowerCase();
+    }
+    /* this is an implementation for touch not in production and not ready
+         */
+    /*LGraphCanvas.prototype.touchHandler = function(event) {
+            //alert("foo");
+            var touches = event.changedTouches,
+                first = touches[0],
+                type = "";
+    
+            switch (event.type) {
+                case "touchstart":
+                    type = "mousedown";
+                    break;
+                case "touchmove":
+                    type = "mousemove";
+                    break;
+                case "touchend":
+                    type = "mouseup";
+                    break;
+                default:
+                    return;
+            }
+    
+            //initMouseEvent(type, canBubble, cancelable, view, clickCount,
+            //           screenX, screenY, clientX, clientY, ctrlKey,
+            //           altKey, shiftKey, metaKey, button, relatedTarget);
+    
+            // this is eventually a Dom object, get the LGraphCanvas back
+            if(typeof this.getCanvasWindow == "undefined"){
+                var window = this.lgraphcanvas.getCanvasWindow();
+            }else{
+                var window = this.getCanvasWindow();
+            }
+            
+            var document = window.document;
+    
+            var simulatedEvent = document.createEvent("MouseEvent");
+            simulatedEvent.initMouseEvent(
+                type,
+                true,
+                true,
+                window,
+                1,
+                first.screenX,
+                first.screenY,
+                first.clientX,
+                first.clientY,
+                false,
+                false,
+                false,
+                false,
+                0, //left
+                null
+            );
+            first.target.dispatchEvent(simulatedEvent);
+            event.preventDefault();
+        };*/
+    /* CONTEXT MENU ********************/
+    static onGroupAdd(info, entry, mouse_event) {
+      var canvas = __LGraphCanvas.active_canvas;
+      canvas.getCanvasWindow();
+      var group = new LiteGraph.LGraphGroup();
+      group.pos = canvas.convertEventToCanvasOffset(mouse_event);
+      canvas.graph.add(group);
+    }
+    /**
+         * Determines the furthest nodes in each direction
+         * @param nodes {LGraphNode[]} the nodes to from which boundary nodes will be extracted
+         * @return {{left: LGraphNode, top: LGraphNode, right: LGraphNode, bottom: LGraphNode}}
+         */
+    static getBoundaryNodes(nodes) {
+      let top = null;
+      let right = null;
+      let bottom = null;
+      let left = null;
+      for (const nID in nodes) {
+        const node22 = nodes[nID];
+        const [x2, y2] = node22.pos;
+        const [width2, height] = node22.size;
+        if (top === null || y2 < top.pos[1]) {
+          top = node22;
+        }
+        if (right === null || x2 + width2 > right.pos[0] + right.size[0]) {
+          right = node22;
+        }
+        if (bottom === null || y2 + height > bottom.pos[1] + bottom.size[1]) {
+          bottom = node22;
+        }
+        if (left === null || x2 < left.pos[0]) {
+          left = node22;
+        }
+      }
+      return {
+        "top": top,
+        "right": right,
+        "bottom": bottom,
+        "left": left
+      };
+    }
+    /**
+         *
+         * @param {LGraphNode[]} nodes a list of nodes
+         * @param {"top"|"bottom"|"left"|"right"} direction Direction to align the nodes
+         * @param {LGraphNode?} align_to Node to align to (if null, align to the furthest node in the given direction)
+         */
+    static alignNodes(nodes, direction, align_to) {
+      if (!nodes) {
+        return;
+      }
+      const canvas = __LGraphCanvas.active_canvas;
+      let boundaryNodes = [];
+      if (align_to === void 0) {
+        boundaryNodes = __LGraphCanvas.getBoundaryNodes(nodes);
+      } else {
+        boundaryNodes = {
+          "top": align_to,
+          "right": align_to,
+          "bottom": align_to,
+          "left": align_to
+        };
+      }
+      for (const [_2, node22] of Object.entries(canvas.selected_nodes)) {
+        switch (direction) {
+          case "right":
+            node22.pos[0] = boundaryNodes["right"].pos[0] + boundaryNodes["right"].size[0] - node22.size[0];
+            break;
+          case "left":
+            node22.pos[0] = boundaryNodes["left"].pos[0];
+            break;
+          case "top":
+            node22.pos[1] = boundaryNodes["top"].pos[1];
+            break;
+          case "bottom":
+            node22.pos[1] = boundaryNodes["bottom"].pos[1] + boundaryNodes["bottom"].size[1] - node22.size[1];
+            break;
+        }
+      }
+      canvas.dirty_canvas = true;
+      canvas.dirty_bgcanvas = true;
+    }
+    static onNodeAlign(value3, options3, event2, prev_menu, node22) {
+      new LiteGraph.ContextMenu(["Top", "Bottom", "Left", "Right"], {
+        event: event2,
+        callback: inner_clicked,
+        parentMenu: prev_menu
+      });
+      function inner_clicked(value22) {
+        __LGraphCanvas.alignNodes(__LGraphCanvas.active_canvas.selected_nodes, value22.toLowerCase(), node22);
+      }
+      __name(inner_clicked, "inner_clicked");
+    }
+    static onGroupAlign(value3, options3, event2, prev_menu) {
+      new LiteGraph.ContextMenu(["Top", "Bottom", "Left", "Right"], {
+        event: event2,
+        callback: inner_clicked,
+        parentMenu: prev_menu
+      });
+      function inner_clicked(value22) {
+        __LGraphCanvas.alignNodes(__LGraphCanvas.active_canvas.selected_nodes, value22.toLowerCase());
+      }
+      __name(inner_clicked, "inner_clicked");
+    }
+    static onMenuAdd(node22, options3, e, prev_menu, callback) {
+      var canvas = __LGraphCanvas.active_canvas;
+      var ref_window2 = canvas.getCanvasWindow();
+      var graph = canvas.graph;
+      if (!graph)
+        return;
+      function inner_onMenuAdded(base_category, prev_menu2) {
+        var categories = LiteGraph.getNodeTypesCategories(canvas.filter || graph.filter).filter(function(category) {
+          return category.startsWith(base_category);
+        });
+        var entries = [];
+        categories.map(function(category) {
+          if (!category)
+            return;
+          var base_category_regex = new RegExp("^(" + base_category + ")");
+          var category_name = category.replace(base_category_regex, "").split("/")[0];
+          var category_path = base_category === "" ? category_name + "/" : base_category + category_name + "/";
+          var name = category_name;
+          if (name.indexOf("::") != -1)
+            name = name.split("::")[1];
+          var index2 = entries.findIndex(function(entry) {
+            return entry.value === category_path;
+          });
+          if (index2 === -1) {
+            entries.push({
+              value: category_path,
+              content: name,
+              has_submenu: true,
+              callback: /* @__PURE__ */ __name(function(value3, event2, mouseEvent, contextMenu) {
+                inner_onMenuAdded(value3.value, contextMenu);
+              }, "callback")
+            });
+          }
+        });
+        var nodes = LiteGraph.getNodeTypesInCategory(base_category.slice(0, -1), canvas.filter || graph.filter);
+        nodes.map(function(node3) {
+          if (node3.skip_list)
+            return;
+          var entry = {
+            value: node3.type,
+            content: node3.title,
+            has_submenu: false,
+            callback: /* @__PURE__ */ __name(function(value3, event2, mouseEvent, contextMenu) {
+              var first_event = contextMenu.getFirstEvent();
+              canvas.graph.beforeChange();
+              var node4 = LiteGraph.createNode(value3.value);
+              if (node4) {
+                node4.pos = canvas.convertEventToCanvasOffset(first_event);
+                canvas.graph.add(node4);
+              }
+              if (callback)
+                callback(node4);
+              canvas.graph.afterChange();
+            }, "callback")
+          };
+          entries.push(entry);
+        });
+        new LiteGraph.ContextMenu(entries, { event: e, parentMenu: prev_menu2 }, ref_window2);
+      }
+      __name(inner_onMenuAdded, "inner_onMenuAdded");
+      inner_onMenuAdded("", prev_menu);
+      return false;
+    }
+    static onMenuCollapseAll() {
+    }
+    static onMenuNodeEdit() {
+    }
+    static showMenuNodeOptionalInputs(v2, options3, e, prev_menu, node22) {
+      if (!node22) {
+        return;
+      }
+      var that2 = this;
+      var canvas = __LGraphCanvas.active_canvas;
+      var ref_window2 = canvas.getCanvasWindow();
+      var options3 = node22.optional_inputs;
+      if (node22.onGetInputs) {
+        options3 = node22.onGetInputs();
+      }
+      var entries = [];
+      if (options3) {
+        for (var i2 = 0; i2 < options3.length; i2++) {
+          var entry = options3[i2];
+          if (!entry) {
+            entries.push(null);
+            continue;
+          }
+          var label5 = entry[0];
+          if (!entry[2])
+            entry[2] = {};
+          if (entry[2].label) {
+            label5 = entry[2].label;
+          }
+          entry[2].removable = true;
+          var data24 = { content: label5, value: entry };
+          if (entry[1] == LiteGraph.ACTION) {
+            data24.className = "event";
+          }
+          entries.push(data24);
+        }
+      }
+      if (node22.onMenuNodeInputs) {
+        var retEntries = node22.onMenuNodeInputs(entries);
+        if (retEntries) entries = retEntries;
+      }
+      if (!entries.length) {
+        console.log("no input entries");
+        return;
+      }
+      new LiteGraph.ContextMenu(
+        entries,
+        {
+          event: e,
+          callback: inner_clicked,
+          parentMenu: prev_menu,
+          node: node22
+        },
+        ref_window2
+      );
+      function inner_clicked(v3, e2, prev2) {
+        if (!node22) {
+          return;
+        }
+        if (v3.callback) {
+          v3.callback.call(that2, node22, v3, e2, prev2);
+        }
+        if (v3.value) {
+          node22.graph.beforeChange();
+          node22.addInput(v3.value[0], v3.value[1], v3.value[2]);
+          if (node22.onNodeInputAdd) {
+            node22.onNodeInputAdd(v3.value);
+          }
+          node22.setDirtyCanvas(true, true);
+          node22.graph.afterChange();
+        }
+      }
+      __name(inner_clicked, "inner_clicked");
+      return false;
+    }
+    static showMenuNodeOptionalOutputs(v2, options3, e, prev_menu, node22) {
+      if (!node22) {
+        return;
+      }
+      var that2 = this;
+      var canvas = __LGraphCanvas.active_canvas;
+      var ref_window2 = canvas.getCanvasWindow();
+      var options3 = node22.optional_outputs;
+      if (node22.onGetOutputs) {
+        options3 = node22.onGetOutputs();
+      }
+      var entries = [];
+      if (options3) {
+        for (var i2 = 0; i2 < options3.length; i2++) {
+          var entry = options3[i2];
+          if (!entry) {
+            entries.push(null);
+            continue;
+          }
+          if (node22.flags && node22.flags.skip_repeated_outputs && node22.findOutputSlot(entry[0]) != -1) {
+            continue;
+          }
+          var label5 = entry[0];
+          if (!entry[2])
+            entry[2] = {};
+          if (entry[2].label) {
+            label5 = entry[2].label;
+          }
+          entry[2].removable = true;
+          var data24 = { content: label5, value: entry };
+          if (entry[1] == LiteGraph.EVENT) {
+            data24.className = "event";
+          }
+          entries.push(data24);
+        }
+      }
+      if (this.onMenuNodeOutputs) {
+        entries = this.onMenuNodeOutputs(entries);
+      }
+      if (LiteGraph.do_add_triggers_slots) {
+        if (node22.findOutputSlot("onExecuted") == -1) {
+          entries.push({ content: "On Executed", value: ["onExecuted", LiteGraph.EVENT, { nameLocked: true }], className: "event" });
+        }
+      }
+      if (node22.onMenuNodeOutputs) {
+        var retEntries = node22.onMenuNodeOutputs(entries);
+        if (retEntries) entries = retEntries;
+      }
+      if (!entries.length) {
+        return;
+      }
+      new LiteGraph.ContextMenu(
+        entries,
+        {
+          event: e,
+          callback: inner_clicked,
+          parentMenu: prev_menu,
+          node: node22
+        },
+        ref_window2
+      );
+      function inner_clicked(v3, e2, prev2) {
+        if (!node22) {
+          return;
+        }
+        if (v3.callback) {
+          v3.callback.call(that2, node22, v3, e2, prev2);
+        }
+        if (!v3.value) {
+          return;
+        }
+        var value3 = v3.value[1];
+        if (value3 && (value3.constructor === Object || value3.constructor === Array)) {
+          var entries2 = [];
+          for (var i3 in value3) {
+            entries2.push({ content: i3, value: value3[i3] });
+          }
+          new LiteGraph.ContextMenu(entries2, {
+            event: e2,
+            callback: inner_clicked,
+            parentMenu: prev_menu,
+            node: node22
+          });
+          return false;
+        } else {
+          node22.graph.beforeChange();
+          node22.addOutput(v3.value[0], v3.value[1], v3.value[2]);
+          if (node22.onNodeOutputAdd) {
+            node22.onNodeOutputAdd(v3.value);
+          }
+          node22.setDirtyCanvas(true, true);
+          node22.graph.afterChange();
+        }
+      }
+      __name(inner_clicked, "inner_clicked");
+      return false;
+    }
+    static onShowMenuNodeProperties(value3, options3, e, prev_menu, node22) {
+      if (!node22 || !node22.properties) {
+        return;
+      }
+      var canvas = __LGraphCanvas.active_canvas;
+      var ref_window2 = canvas.getCanvasWindow();
+      var entries = [];
+      for (var i2 in node22.properties) {
+        var value3 = node22.properties[i2] !== void 0 ? node22.properties[i2] : " ";
+        if (typeof value3 == "object")
+          value3 = JSON.stringify(value3);
+        var info = node22.getPropertyInfo(i2);
+        if (info.type == "enum" || info.type == "combo")
+          value3 = __LGraphCanvas.getPropertyPrintableValue(value3, info.values);
+        value3 = __LGraphCanvas.decodeHTML(value3);
+        entries.push({
+          content: "<span class='property_name'>" + (info.label ? info.label : i2) + "</span><span class='property_value'>" + value3 + "</span>",
+          value: i2
+        });
+      }
+      if (!entries.length) {
+        return;
+      }
+      new LiteGraph.ContextMenu(
+        entries,
+        {
+          event: e,
+          callback: inner_clicked,
+          parentMenu: prev_menu,
+          allow_html: true,
+          node: node22
+        },
+        ref_window2
+      );
+      function inner_clicked(v2, options22, e2, prev2) {
+        if (!node22) {
+          return;
+        }
+        var rect = this.getBoundingClientRect();
+        canvas.showEditPropertyValue(node22, v2.value, {
+          position: [rect.left, rect.top]
+        });
+      }
+      __name(inner_clicked, "inner_clicked");
+      return false;
+    }
+    static decodeHTML(str) {
+      var e = document.createElement("div");
+      e.innerText = str;
+      return e.innerHTML;
+    }
+    static onMenuResizeNode(value3, options3, e, menu, node22) {
+      if (!node22) {
+        return;
+      }
+      var fApplyMultiNode = /* @__PURE__ */ __name(function(node3) {
+        node3.size = node3.computeSize();
+        if (node3.onResize)
+          node3.onResize(node3.size);
+      }, "fApplyMultiNode");
+      var graphcanvas = __LGraphCanvas.active_canvas;
+      if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {
+        fApplyMultiNode(node22);
+      } else {
+        for (var i2 in graphcanvas.selected_nodes) {
+          fApplyMultiNode(graphcanvas.selected_nodes[i2]);
+        }
+      }
+      node22.setDirtyCanvas(true, true);
+    }
+    // TODO refactor :: this is used fot title but not for properties!
+    static onShowPropertyEditor(item2, options3, e, menu, node22) {
+      var property = item2.property || "title";
+      var value3 = node22[property];
+      var dialog = document.createElement("div");
+      dialog.is_modified = false;
+      dialog.className = "graphdialog";
+      dialog.innerHTML = "<span class='name'></span><input autofocus type='text' class='value'/><button>OK</button>";
+      dialog.close = function() {
+        if (dialog.parentNode) {
+          dialog.parentNode.removeChild(dialog);
+        }
+      };
+      var title = dialog.querySelector(".name");
+      title.innerText = property;
+      var input = dialog.querySelector(".value");
+      if (input) {
+        input.value = value3;
+        input.addEventListener("blur", function(e2) {
+          this.focus();
+        });
+        input.addEventListener("keydown", function(e2) {
+          dialog.is_modified = true;
+          if (e2.keyCode == 27) {
+            dialog.close();
+          } else if (e2.keyCode == 13) {
+            inner();
+          } else if (e2.keyCode != 13 && e2.target.localName != "textarea") {
+            return;
+          }
+          e2.preventDefault();
+          e2.stopPropagation();
+        });
+      }
+      var graphcanvas = __LGraphCanvas.active_canvas;
+      var canvas = graphcanvas.canvas;
+      var rect = canvas.getBoundingClientRect();
+      var offsetx = -20;
+      var offsety = -20;
+      if (rect) {
+        offsetx -= rect.left;
+        offsety -= rect.top;
+      }
+      if (event) {
+        dialog.style.left = event.clientX + offsetx + "px";
+        dialog.style.top = event.clientY + offsety + "px";
+      } else {
+        dialog.style.left = canvas.width * 0.5 + offsetx + "px";
+        dialog.style.top = canvas.height * 0.5 + offsety + "px";
+      }
+      var button = dialog.querySelector("button");
+      button.addEventListener("click", inner);
+      canvas.parentNode.appendChild(dialog);
+      if (input) input.focus();
+      var dialogCloseTimer = null;
+      dialog.addEventListener("mouseleave", function(e2) {
+        if (LiteGraph.dialog_close_on_mouse_leave) {
+          if (!dialog.is_modified && LiteGraph.dialog_close_on_mouse_leave)
+            dialogCloseTimer = setTimeout(dialog.close, LiteGraph.dialog_close_on_mouse_leave_delay);
+        }
+      });
+      dialog.addEventListener("mouseenter", function(e2) {
+        if (LiteGraph.dialog_close_on_mouse_leave) {
+          if (dialogCloseTimer) clearTimeout(dialogCloseTimer);
+        }
+      });
+      function inner() {
+        if (input) setValue2(input.value);
+      }
+      __name(inner, "inner");
+      function setValue2(value22) {
+        if (item2.type == "Number") {
+          value22 = Number(value22);
+        } else if (item2.type == "Boolean") {
+          value22 = Boolean(value22);
+        }
+        node22[property] = value22;
+        if (dialog.parentNode) {
+          dialog.parentNode.removeChild(dialog);
+        }
+        node22.setDirtyCanvas(true, true);
+      }
+      __name(setValue2, "setValue");
+    }
+    static getPropertyPrintableValue(value3, values2) {
+      if (!values2)
+        return String(value3);
+      if (values2.constructor === Array) {
+        return String(value3);
+      }
+      if (values2.constructor === Object) {
+        var desc_value = "";
+        for (var k in values2) {
+          if (values2[k] != value3)
+            continue;
+          desc_value = k;
+          break;
+        }
+        return String(value3) + " (" + desc_value + ")";
+      }
+    }
+    static onMenuNodeCollapse(value3, options3, e, menu, node22) {
+      node22.graph.beforeChange(
+        /*?*/
+      );
+      var fApplyMultiNode = /* @__PURE__ */ __name(function(node3) {
+        node3.collapse();
+      }, "fApplyMultiNode");
+      var graphcanvas = __LGraphCanvas.active_canvas;
+      if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {
+        fApplyMultiNode(node22);
+      } else {
+        for (var i2 in graphcanvas.selected_nodes) {
+          fApplyMultiNode(graphcanvas.selected_nodes[i2]);
+        }
+      }
+      node22.graph.afterChange(
+        /*?*/
+      );
+    }
+    static onMenuNodePin(value3, options3, e, menu, node22) {
+      node22.pin();
+    }
+    static onMenuNodeMode(value3, options3, e, menu, node22) {
+      new LiteGraph.ContextMenu(
+        LiteGraph.NODE_MODES,
+        { event: e, callback: inner_clicked, parentMenu: menu, node: node22 }
+      );
+      function inner_clicked(v2) {
+        if (!node22) {
+          return;
+        }
+        var kV = Object.values(LiteGraph.NODE_MODES).indexOf(v2);
+        var fApplyMultiNode = /* @__PURE__ */ __name(function(node3) {
+          if (kV >= 0 && LiteGraph.NODE_MODES[kV])
+            node3.changeMode(kV);
+          else {
+            console.warn("unexpected mode: " + v2);
+            node3.changeMode(LiteGraph.ALWAYS);
+          }
+        }, "fApplyMultiNode");
+        var graphcanvas = __LGraphCanvas.active_canvas;
+        if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {
+          fApplyMultiNode(node22);
+        } else {
+          for (var i2 in graphcanvas.selected_nodes) {
+            fApplyMultiNode(graphcanvas.selected_nodes[i2]);
+          }
+        }
+      }
+      __name(inner_clicked, "inner_clicked");
+      return false;
+    }
+    static onMenuNodeColors(value3, options3, e, menu, node22) {
+      if (!node22) {
+        throw "no node for color";
+      }
+      var values2 = [];
+      values2.push({
+        value: null,
+        content: "<span style='display: block; padding-left: 4px;'>No color</span>"
+      });
+      for (var i2 in __LGraphCanvas.node_colors) {
+        var color = __LGraphCanvas.node_colors[i2];
+        var value3 = {
+          value: i2,
+          content: "<span style='display: block; color: #999; padding-left: 4px; border-left: 8px solid " + color.color + "; background-color:" + color.bgcolor + "'>" + i2 + "</span>"
+        };
+        values2.push(value3);
+      }
+      new LiteGraph.ContextMenu(values2, {
+        event: e,
+        callback: inner_clicked,
+        parentMenu: menu,
+        node: node22
+      });
+      function inner_clicked(v2) {
+        if (!node22) {
+          return;
+        }
+        var color2 = v2.value ? __LGraphCanvas.node_colors[v2.value] : null;
+        var fApplyColor = /* @__PURE__ */ __name(function(node3) {
+          if (color2) {
+            if (node3.constructor === LiteGraph.LGraphGroup) {
+              node3.color = color2.groupcolor;
+            } else {
+              node3.color = color2.color;
+              node3.bgcolor = color2.bgcolor;
+            }
+          } else {
+            delete node3.color;
+            delete node3.bgcolor;
+          }
+        }, "fApplyColor");
+        var graphcanvas = __LGraphCanvas.active_canvas;
+        if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {
+          fApplyColor(node22);
+        } else {
+          for (var i3 in graphcanvas.selected_nodes) {
+            fApplyColor(graphcanvas.selected_nodes[i3]);
+          }
+        }
+        node22.setDirtyCanvas(true, true);
+      }
+      __name(inner_clicked, "inner_clicked");
+      return false;
+    }
+    static onMenuNodeShapes(value3, options3, e, menu, node22) {
+      if (!node22) {
+        throw "no node passed";
+      }
+      new LiteGraph.ContextMenu(LiteGraph.VALID_SHAPES, {
+        event: e,
+        callback: inner_clicked,
+        parentMenu: menu,
+        node: node22
+      });
+      function inner_clicked(v2) {
+        if (!node22) {
+          return;
+        }
+        node22.graph.beforeChange(
+          /*?*/
+        );
+        var fApplyMultiNode = /* @__PURE__ */ __name(function(node3) {
+          node3.shape = v2;
+        }, "fApplyMultiNode");
+        var graphcanvas = __LGraphCanvas.active_canvas;
+        if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {
+          fApplyMultiNode(node22);
+        } else {
+          for (var i2 in graphcanvas.selected_nodes) {
+            fApplyMultiNode(graphcanvas.selected_nodes[i2]);
+          }
+        }
+        node22.graph.afterChange(
+          /*?*/
+        );
+        node22.setDirtyCanvas(true);
+      }
+      __name(inner_clicked, "inner_clicked");
+      return false;
+    }
+    static onMenuNodeRemove(value3, options3, e, menu, node22) {
+      if (!node22) {
+        throw "no node passed";
+      }
+      var graph = node22.graph;
+      graph.beforeChange();
+      var fApplyMultiNode = /* @__PURE__ */ __name(function(node3) {
+        if (node3.removable === false) {
+          return;
+        }
+        graph.remove(node3);
+      }, "fApplyMultiNode");
+      var graphcanvas = __LGraphCanvas.active_canvas;
+      if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {
+        fApplyMultiNode(node22);
+      } else {
+        for (var i2 in graphcanvas.selected_nodes) {
+          fApplyMultiNode(graphcanvas.selected_nodes[i2]);
+        }
+      }
+      graph.afterChange();
+      node22.setDirtyCanvas(true, true);
+    }
+    static onMenuNodeToSubgraph(value3, options3, e, menu, node22) {
+      var graph = node22.graph;
+      var graphcanvas = __LGraphCanvas.active_canvas;
+      if (!graphcanvas)
+        return;
+      var nodes_list = Object.values(graphcanvas.selected_nodes || {});
+      if (!nodes_list.length)
+        nodes_list = [node22];
+      var subgraph_node = LiteGraph.createNode("graph/subgraph");
+      subgraph_node.pos = node22.pos.concat();
+      graph.add(subgraph_node);
+      subgraph_node.buildFromNodes(nodes_list);
+      graphcanvas.deselectAllNodes();
+      node22.setDirtyCanvas(true, true);
+    }
+    static onMenuNodeClone(value3, options3, e, menu, node22) {
+      node22.graph.beforeChange();
+      var newSelected = {};
+      var fApplyMultiNode = /* @__PURE__ */ __name(function(node3) {
+        if (node3.clonable === false) {
+          return;
+        }
+        var newnode = node3.clone();
+        if (!newnode) {
+          return;
+        }
+        newnode.pos = [node3.pos[0] + 5, node3.pos[1] + 5];
+        node3.graph.add(newnode);
+        newSelected[newnode.id] = newnode;
+      }, "fApplyMultiNode");
+      var graphcanvas = __LGraphCanvas.active_canvas;
+      if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {
+        fApplyMultiNode(node22);
+      } else {
+        for (var i2 in graphcanvas.selected_nodes) {
+          fApplyMultiNode(graphcanvas.selected_nodes[i2]);
+        }
+      }
+      if (Object.keys(newSelected).length) {
+        graphcanvas.selectNodes(newSelected);
+      }
+      node22.graph.afterChange();
+      node22.setDirtyCanvas(true, true);
+    }
+    /**
+         * clears all the data inside
+         *
+         * @method clear
+         */
+    clear() {
+      this.frame = 0;
+      this.last_draw_time = 0;
+      this.render_time = 0;
+      this.fps = 0;
+      this.dragging_rectangle = null;
+      this.selected_nodes = {};
+      this.selected_group = null;
+      this.visible_nodes = [];
+      this.node_dragged = null;
+      this.node_over = null;
+      this.node_capturing_input = null;
+      this.connecting_links = null;
+      this.highlighted_links = {};
+      this.dragging_canvas = false;
+      this.dirty_canvas = true;
+      this.dirty_bgcanvas = true;
+      this.dirty_area = null;
+      this.node_in_panel = null;
+      this.node_widget = null;
+      this.last_mouse = [0, 0];
+      this.last_mouseclick = 0;
+      this.pointer_is_down = false;
+      this.pointer_is_double = false;
+      this.visible_area.set([0, 0, 0, 0]);
+      if (this.onClear) {
+        this.onClear();
+      }
+    }
+    /**
+         * assigns a graph, you can reassign graphs to the same canvas
+         *
+         * @method setGraph
+         * @param {LGraph} graph
+         */
+    setGraph(graph, skip_clear) {
+      if (this.graph == graph) {
+        return;
+      }
+      if (!skip_clear) {
+        this.clear();
+      }
+      if (!graph && this.graph) {
+        this.graph.detachCanvas(this);
+        return;
+      }
+      graph.attachCanvas(this);
+      if (this._graph_stack)
+        this._graph_stack = null;
+      this.setDirty(true, true);
+    }
+    /**
+         * returns the top level graph (in case there are subgraphs open on the canvas)
+         *
+         * @method getTopGraph
+         * @return {LGraph} graph
+         */
+    getTopGraph() {
+      if (this._graph_stack.length)
+        return this._graph_stack[0];
+      return this.graph;
+    }
+    /**
+         * opens a graph contained inside a node in the current graph
+         *
+         * @method openSubgraph
+         * @param {LGraph} graph
+         */
+    openSubgraph(graph) {
+      if (!graph) {
+        throw "graph cannot be null";
+      }
+      if (this.graph == graph) {
+        throw "graph cannot be the same";
+      }
+      this.clear();
+      if (this.graph) {
+        if (!this._graph_stack) {
+          this._graph_stack = [];
+        }
+        this._graph_stack.push(this.graph);
+      }
+      graph.attachCanvas(this);
+      this.checkPanels();
+      this.setDirty(true, true);
+    }
+    /**
+         * closes a subgraph contained inside a node
+         *
+         * @method closeSubgraph
+         * @param {LGraph} assigns a graph
+         */
+    closeSubgraph() {
+      if (!this._graph_stack || this._graph_stack.length == 0) {
+        return;
+      }
+      var subgraph_node = this.graph._subgraph_node;
+      var graph = this._graph_stack.pop();
+      this.selected_nodes = {};
+      this.highlighted_links = {};
+      graph.attachCanvas(this);
+      this.setDirty(true, true);
+      if (subgraph_node) {
+        this.centerOnNode(subgraph_node);
+        this.selectNodes([subgraph_node]);
+      }
+      this.ds.offset = [0, 0];
+      this.ds.scale = 1;
+    }
+    /**
+         * returns the visually active graph (in case there are more in the stack)
+         * @method getCurrentGraph
+         * @return {LGraph} the active graph
+         */
+    getCurrentGraph() {
+      return this.graph;
+    }
+    /**
+         * assigns a canvas
+         *
+         * @method setCanvas
+         * @param {Canvas} assigns a canvas (also accepts the ID of the element (not a selector)
+         */
+    setCanvas(canvas, skip_events) {
+      if (canvas) {
+        if (canvas.constructor === String) {
+          canvas = document.getElementById(canvas);
+          if (!canvas) {
+            throw "Error creating LiteGraph canvas: Canvas not found";
+          }
+        }
+      }
+      if (canvas === this.canvas) {
+        return;
+      }
+      if (!canvas && this.canvas) {
+        if (!skip_events) {
+          this.unbindEvents();
+        }
+      }
+      this.canvas = canvas;
+      this.ds.element = canvas;
+      if (!canvas) {
+        return;
+      }
+      canvas.className += " lgraphcanvas";
+      canvas.data = this;
+      canvas.tabindex = "1";
+      this.bgcanvas = null;
+      if (!this.bgcanvas) {
+        this.bgcanvas = document.createElement("canvas");
+        this.bgcanvas.width = this.canvas.width;
+        this.bgcanvas.height = this.canvas.height;
+      }
+      if (canvas.getContext == null) {
+        if (canvas.localName != "canvas") {
+          throw "Element supplied for LGraphCanvas must be a <canvas> element, you passed a " + canvas.localName;
+        }
+        throw "This browser doesn't support Canvas";
+      }
+      var ctx = this.ctx = canvas.getContext("2d");
+      if (ctx == null) {
+        if (!canvas.webgl_enabled) {
+          console.warn(
+            "This canvas seems to be WebGL, enabling WebGL renderer"
+          );
+        }
+        this.enableWebGL();
+      }
+      if (!skip_events) {
+        this.bindEvents();
+      }
+    }
+    //used in some events to capture them
+    _doNothing(e) {
+      e.preventDefault();
+      return false;
+    }
+    _doReturnTrue(e) {
+      e.preventDefault();
+      return true;
+    }
+    /**
+         * binds mouse, keyboard, touch and drag events to the canvas
+         * @method bindEvents
+         **/
+    bindEvents() {
+      if (this._events_binded) {
+        console.warn("LGraphCanvas: events already binded");
+        return;
+      }
+      var canvas = this.canvas;
+      var ref_window2 = this.getCanvasWindow();
+      var document2 = ref_window2.document;
+      this._mousedown_callback = this.processMouseDown.bind(this);
+      this._mousewheel_callback = this.processMouseWheel.bind(this);
+      this._mousemove_callback = this.processMouseMove.bind(this);
+      this._mouseup_callback = this.processMouseUp.bind(this);
+      LiteGraph.pointerListenerAdd(canvas, "down", this._mousedown_callback, true);
+      canvas.addEventListener("mousewheel", this._mousewheel_callback, false);
+      LiteGraph.pointerListenerAdd(canvas, "up", this._mouseup_callback, true);
+      LiteGraph.pointerListenerAdd(canvas, "move", this._mousemove_callback);
+      canvas.addEventListener("contextmenu", this._doNothing);
+      canvas.addEventListener(
+        "DOMMouseScroll",
+        this._mousewheel_callback,
+        false
+      );
+      this._key_callback = this.processKey.bind(this);
+      canvas.addEventListener("keydown", this._key_callback, true);
+      document2.addEventListener("keyup", this._key_callback, true);
+      this._ondrop_callback = this.processDrop.bind(this);
+      canvas.addEventListener("dragover", this._doNothing, false);
+      canvas.addEventListener("dragend", this._doNothing, false);
+      canvas.addEventListener("drop", this._ondrop_callback, false);
+      canvas.addEventListener("dragenter", this._doReturnTrue, false);
+      this._events_binded = true;
+    }
+    /**
+         * unbinds mouse events from the canvas
+         * @method unbindEvents
+         **/
+    unbindEvents() {
+      if (!this._events_binded) {
+        console.warn("LGraphCanvas: no events binded");
+        return;
+      }
+      var ref_window2 = this.getCanvasWindow();
+      var document2 = ref_window2.document;
+      LiteGraph.pointerListenerRemove(this.canvas, "move", this._mousemove_callback);
+      LiteGraph.pointerListenerRemove(this.canvas, "up", this._mouseup_callback);
+      LiteGraph.pointerListenerRemove(this.canvas, "down", this._mousedown_callback);
+      this.canvas.removeEventListener(
+        "mousewheel",
+        this._mousewheel_callback
+      );
+      this.canvas.removeEventListener(
+        "DOMMouseScroll",
+        this._mousewheel_callback
+      );
+      this.canvas.removeEventListener("keydown", this._key_callback);
+      document2.removeEventListener("keyup", this._key_callback);
+      this.canvas.removeEventListener("contextmenu", this._doNothing);
+      this.canvas.removeEventListener("drop", this._ondrop_callback);
+      this.canvas.removeEventListener("dragenter", this._doReturnTrue);
+      this._mousedown_callback = null;
+      this._mousewheel_callback = null;
+      this._key_callback = null;
+      this._ondrop_callback = null;
+      this._events_binded = false;
+    }
+    /**
+         * this function allows to render the canvas using WebGL instead of Canvas2D
+         * this is useful if you plant to render 3D objects inside your nodes, it uses litegl.js for webgl and canvas2DtoWebGL to emulate the Canvas2D calls in webGL
+         * @method enableWebGL
+         **/
+    enableWebGL() {
+      if (typeof GL === "undefined") {
+        throw "litegl.js must be included to use a WebGL canvas";
+      }
+      if (typeof enableWebGLCanvas === "undefined") {
+        throw "webglCanvas.js must be included to use this feature";
+      }
+      this.gl = this.ctx = enableWebGLCanvas(this.canvas);
+      this.ctx.webgl = true;
+      this.bgcanvas = this.canvas;
+      this.bgctx = this.gl;
+      this.canvas.webgl_enabled = true;
+    }
+    /**
+         * marks as dirty the canvas, this way it will be rendered again
+         *
+         * @class LGraphCanvas
+         * @method setDirty
+         * @param {bool} fgcanvas if the foreground canvas is dirty (the one containing the nodes)
+         * @param {bool} bgcanvas if the background canvas is dirty (the one containing the wires)
+         */
+    setDirty(fgcanvas, bgcanvas) {
+      if (fgcanvas) {
+        this.dirty_canvas = true;
+      }
+      if (bgcanvas) {
+        this.dirty_bgcanvas = true;
+      }
+    }
+    /**
+         * Used to attach the canvas in a popup
+         *
+         * @method getCanvasWindow
+         * @return {window} returns the window where the canvas is attached (the DOM root node)
+         */
+    getCanvasWindow() {
+      if (!this.canvas) {
+        return window;
+      }
+      var doc2 = this.canvas.ownerDocument;
+      return doc2.defaultView || doc2.parentWindow;
+    }
+    /**
+         * starts rendering the content of the canvas when needed
+         *
+         * @method startRendering
+         */
+    startRendering() {
+      if (this.is_rendering) {
+        return;
+      }
+      this.is_rendering = true;
+      renderFrame.call(this);
+      function renderFrame() {
+        if (!this.pause_rendering) {
+          this.draw();
+        }
+        var window2 = this.getCanvasWindow();
+        if (this.is_rendering) {
+          window2.requestAnimationFrame(renderFrame.bind(this));
+        }
+      }
+      __name(renderFrame, "renderFrame");
+    }
+    /**
+         * stops rendering the content of the canvas (to save resources)
+         *
+         * @method stopRendering
+         */
+    stopRendering() {
+      this.is_rendering = false;
+    }
+    /* LiteGraphCanvas input */
+    //used to block future mouse events (because of im gui)
+    blockClick() {
+      this.block_click = true;
+      this.last_mouseclick = 0;
+    }
+    processMouseDown(e) {
+      var _a;
+      if (this.set_canvas_dirty_on_mouse_event)
+        this.dirty_canvas = true;
+      if (!this.graph) {
+        return;
+      }
+      this.adjustMouseEvent(e);
+      var ref_window2 = this.getCanvasWindow();
+      ref_window2.document;
+      __LGraphCanvas.active_canvas = this;
+      var that2 = this;
+      var x2 = e.clientX;
+      var y2 = e.clientY;
+      this.ds.viewport = this.viewport;
+      var is_inside = !this.viewport || this.viewport && x2 >= this.viewport[0] && x2 < this.viewport[0] + this.viewport[2] && y2 >= this.viewport[1] && y2 < this.viewport[1] + this.viewport[3];
+      if (!this.options.skip_events) {
+        LiteGraph.pointerListenerRemove(this.canvas, "move", this._mousemove_callback);
+        LiteGraph.pointerListenerAdd(ref_window2.document, "move", this._mousemove_callback, true);
+        LiteGraph.pointerListenerAdd(ref_window2.document, "up", this._mouseup_callback, true);
+      }
+      if (!is_inside) {
+        return;
+      }
+      var node22 = this.graph.getNodeOnPos(e.canvasX, e.canvasY, this.visible_nodes, 5);
+      var skip_action = false;
+      var now2 = LiteGraph.getTime();
+      var is_primary = e.isPrimary === void 0 || !e.isPrimary;
+      var is_double_click = now2 - this.last_mouseclick < 300;
+      this.mouse[0] = e.clientX;
+      this.mouse[1] = e.clientY;
+      this.graph_mouse[0] = e.canvasX;
+      this.graph_mouse[1] = e.canvasY;
+      this.last_click_position = [this.mouse[0], this.mouse[1]];
+      if (this.pointer_is_down && is_primary) {
+        this.pointer_is_double = true;
+      } else {
+        this.pointer_is_double = false;
+      }
+      this.pointer_is_down = true;
+      this.canvas.focus();
+      LiteGraph.closeAllContextMenus(ref_window2);
+      if (this.onMouse) {
+        if (this.onMouse(e) == true)
+          return;
+      }
+      if (e.which == 1 && !this.pointer_is_double) {
+        if (e.ctrlKey && !e.altKey) {
+          this.dragging_rectangle = new Float32Array(4);
+          this.dragging_rectangle[0] = e.canvasX;
+          this.dragging_rectangle[1] = e.canvasY;
+          this.dragging_rectangle[2] = 1;
+          this.dragging_rectangle[3] = 1;
+          skip_action = true;
+        }
+        if (LiteGraph.alt_drag_do_clone_nodes && e.altKey && !e.ctrlKey && node22 && this.allow_interaction && !skip_action && !this.read_only) {
+          const cloned = node22.clone();
+          if (cloned) {
+            cloned.pos[0] += 5;
+            cloned.pos[1] += 5;
+            this.graph.add(cloned, false, { doCalcSize: false });
+            node22 = cloned;
+            skip_action = true;
+            if (!block_drag_node) {
+              if (this.allow_dragnodes) {
+                this.graph.beforeChange();
+                this.node_dragged = node22;
+              }
+              if (!this.selected_nodes[node22.id]) {
+                this.processNodeSelected(node22, e);
+              }
+            }
+          }
+        }
+        var clicking_canvas_bg = false;
+        if (node22 && (this.allow_interaction || node22.flags.allow_interaction) && !skip_action && !this.read_only) {
+          if (!this.live_mode && !node22.flags.pinned) {
+            this.bringToFront(node22);
+          }
+          if (this.allow_interaction && !this.connecting_links && !node22.flags.collapsed && !this.live_mode) {
+            if (!skip_action && node22.resizable !== false && node22.inResizeCorner(e.canvasX, e.canvasY)) {
+              this.graph.beforeChange();
+              this.resizing_node = node22;
+              this.canvas.style.cursor = "se-resize";
+              skip_action = true;
+            } else {
+              if (node22.outputs) {
+                for (var i2 = 0, l = node22.outputs.length; i2 < l; ++i2) {
+                  var output = node22.outputs[i2];
+                  var link_pos = node22.getConnectionPos(false, i2);
+                  if (isInsideRectangle(
+                    e.canvasX,
+                    e.canvasY,
+                    link_pos[0] - 15,
+                    link_pos[1] - 10,
+                    30,
+                    20
+                  )) {
+                    if (e.shiftKey) {
+                      if (((_a = output.links) == null ? void 0 : _a.length) > 0) {
+                        this.connecting_links = [];
+                        for (const linkId of output.links) {
+                          const link2 = this.graph.links[linkId];
+                          const slot = link2.target_slot;
+                          const linked_node = this.graph._nodes_by_id[link2.target_id];
+                          const input2 = linked_node.inputs[slot];
+                          const pos3 = linked_node.getConnectionPos(true, slot);
+                          this.connecting_links.push({
+                            node: linked_node,
+                            slot,
+                            input: input2,
+                            output: null,
+                            pos: pos3
+                          });
+                        }
+                        skip_action = true;
+                        break;
+                      }
+                    }
+                    output.slot_index = i2;
+                    this.connecting_links = [
+                      {
+                        node: node22,
+                        slot: i2,
+                        input: null,
+                        output,
+                        pos: link_pos
+                      }
+                    ];
+                    if (LiteGraph.shift_click_do_break_link_from) {
+                      if (e.shiftKey) {
+                        node22.disconnectOutput(i2);
+                      }
+                    } else if (LiteGraph.ctrl_alt_click_do_break_link) {
+                      if (e.ctrlKey && e.altKey && !e.shiftKey) {
+                        node22.disconnectOutput(i2);
+                      }
+                    }
+                    if (is_double_click) {
+                      if (node22.onOutputDblClick) {
+                        node22.onOutputDblClick(i2, e);
+                      }
+                    } else {
+                      if (node22.onOutputClick) {
+                        node22.onOutputClick(i2, e);
+                      }
+                    }
+                    skip_action = true;
+                    break;
+                  }
+                }
+              }
+              if (node22.inputs) {
+                for (var i2 = 0, l = node22.inputs.length; i2 < l; ++i2) {
+                  var input = node22.inputs[i2];
+                  var link_pos = node22.getConnectionPos(true, i2);
+                  if (isInsideRectangle(
+                    e.canvasX,
+                    e.canvasY,
+                    link_pos[0] - 15,
+                    link_pos[1] - 10,
+                    30,
+                    20
+                  )) {
+                    if (is_double_click) {
+                      if (node22.onInputDblClick) {
+                        node22.onInputDblClick(i2, e);
+                      }
+                    } else {
+                      if (node22.onInputClick) {
+                        node22.onInputClick(i2, e);
+                      }
+                    }
+                    if (input.link !== null) {
+                      var link_info = this.graph.links[input.link];
+                      if (LiteGraph.click_do_break_link_to || LiteGraph.ctrl_alt_click_do_break_link && e.ctrlKey && e.altKey && !e.shiftKey) {
+                        node22.disconnectInput(i2);
+                      } else if (this.allow_reconnect_links || //this.move_destination_link_without_shift ||
+                      e.shiftKey) {
+                        if (!LiteGraph.click_do_break_link_to) {
+                          node22.disconnectInput(i2);
+                        }
+                        const linked_node = this.graph._nodes_by_id[link_info.origin_id];
+                        const slot = link_info.origin_slot;
+                        this.connecting_links = [
+                          {
+                            node: linked_node,
+                            slot,
+                            input: null,
+                            output: linked_node.outputs[slot],
+                            pos: linked_node.getConnectionPos(false, slot)
+                          }
+                        ];
+                        this.dirty_bgcanvas = true;
+                        skip_action = true;
+                      } else ;
+                    }
+                    if (!skip_action) {
+                      this.connecting_links = [
+                        {
+                          node: node22,
+                          slot: i2,
+                          input,
+                          output: null,
+                          pos: link_pos
+                        }
+                      ];
+                      this.dirty_bgcanvas = true;
+                      skip_action = true;
+                    }
+                    break;
+                  }
+                }
+              }
+            }
+          }
+          if (!skip_action) {
+            var block_drag_node = false;
+            if (node22 && node22.flags && node22.flags.pinned) {
+              block_drag_node = true;
+            }
+            var pos2 = [e.canvasX - node22.pos[0], e.canvasY - node22.pos[1]];
+            var widget = this.processNodeWidgets(node22, this.graph_mouse, e);
+            if (widget) {
+              block_drag_node = true;
+              this.node_widget = [node22, widget];
+            }
+            if (this.allow_interaction && is_double_click && this.selected_nodes[node22.id]) {
+              if (pos2[1] < 0) {
+                if (node22.onNodeTitleDblClick) {
+                  node22.onNodeTitleDblClick(e, pos2, this);
+                }
+              }
+              if (node22.onDblClick) {
+                node22.onDblClick(e, pos2, this);
+              }
+              this.processNodeDblClicked(node22);
+              block_drag_node = true;
+            }
+            if (node22.onMouseDown && node22.onMouseDown(e, pos2, this)) {
+              block_drag_node = true;
+            } else {
+              if (node22.subgraph && !node22.skip_subgraph_button) {
+                if (!node22.flags.collapsed && pos2[0] > node22.size[0] - LiteGraph.NODE_TITLE_HEIGHT && pos2[1] < 0) {
+                  var that2 = this;
+                  setTimeout(function() {
+                    that2.openSubgraph(node22.subgraph);
+                  }, 10);
+                }
+              }
+              if (this.live_mode) {
+                clicking_canvas_bg = true;
+                block_drag_node = true;
+              }
+            }
+            if (!block_drag_node) {
+              if (this.allow_dragnodes) {
+                this.graph.beforeChange();
+                this.node_dragged = node22;
+              }
+              if (!(e.shiftKey && !e.ctrlKey && !e.altKey) || !node22.is_selected) {
+                this.processNodeSelected(node22, e);
+              }
+            } else {
+              if (!node22.is_selected) this.processNodeSelected(node22, e);
+            }
+            this.dirty_canvas = true;
+          }
+        } else {
+          if (!skip_action) {
+            if (!this.read_only) {
+              for (var i2 = 0; i2 < this.visible_links.length; ++i2) {
+                var link = this.visible_links[i2];
+                var center = link._pos;
+                if (!center || e.canvasX < center[0] - 4 || e.canvasX > center[0] + 4 || e.canvasY < center[1] - 4 || e.canvasY > center[1] + 4) {
+                  continue;
+                }
+                this.showLinkMenu(link, e);
+                this.over_link_center = null;
+                break;
+              }
+            }
+            this.selected_group = this.graph.getGroupOnPos(e.canvasX, e.canvasY);
+            this.selected_group_resizing = false;
+            if (this.selected_group && !this.read_only) {
+              if (e.ctrlKey) {
+                this.dragging_rectangle = null;
+              }
+              var dist2 = distance([e.canvasX, e.canvasY], [this.selected_group.pos[0] + this.selected_group.size[0], this.selected_group.pos[1] + this.selected_group.size[1]]);
+              if (dist2 * this.ds.scale < 10) {
+                this.selected_group_resizing = true;
+              } else {
+                this.selected_group.recomputeInsideNodes();
+              }
+            }
+            if (is_double_click && !this.read_only) {
+              if (this.allow_searchbox) {
+                this.showSearchBox(e);
+                e.preventDefault();
+                e.stopPropagation();
+              }
+              this.canvas.dispatchEvent(new CustomEvent(
+                "litegraph:canvas",
+                {
+                  bubbles: true,
+                  detail: {
+                    subType: "empty-double-click",
+                    originalEvent: e
+                  }
+                }
+              ));
+            }
+            clicking_canvas_bg = true;
+          }
+        }
+        if (!skip_action && clicking_canvas_bg && this.allow_dragcanvas) {
+          this.dragging_canvas = true;
+        }
+      } else if (e.which == 2) {
+        if (LiteGraph.middle_click_slot_add_default_node) {
+          if (node22 && this.allow_interaction && !skip_action && !this.read_only) {
+            if (!this.connecting_links && !node22.flags.collapsed && !this.live_mode) {
+              var mClikSlot = false;
+              var mClikSlot_index = false;
+              var mClikSlot_isOut = false;
+              if (node22.outputs) {
+                for (var i2 = 0, l = node22.outputs.length; i2 < l; ++i2) {
+                  var output = node22.outputs[i2];
+                  var link_pos = node22.getConnectionPos(false, i2);
+                  if (isInsideRectangle(e.canvasX, e.canvasY, link_pos[0] - 15, link_pos[1] - 10, 30, 20)) {
+                    mClikSlot = output;
+                    mClikSlot_index = i2;
+                    mClikSlot_isOut = true;
+                    break;
+                  }
+                }
+              }
+              if (node22.inputs) {
+                for (var i2 = 0, l = node22.inputs.length; i2 < l; ++i2) {
+                  var input = node22.inputs[i2];
+                  var link_pos = node22.getConnectionPos(true, i2);
+                  if (isInsideRectangle(e.canvasX, e.canvasY, link_pos[0] - 15, link_pos[1] - 10, 30, 20)) {
+                    mClikSlot = input;
+                    mClikSlot_index = i2;
+                    mClikSlot_isOut = false;
+                    break;
+                  }
+                }
+              }
+              if (mClikSlot && mClikSlot_index !== false) {
+                var alphaPosY = 0.5 - (mClikSlot_index + 1) / (mClikSlot_isOut ? node22.outputs.length : node22.inputs.length);
+                var node_bounding = node22.getBounding();
+                var posRef = [
+                  !mClikSlot_isOut ? node_bounding[0] : node_bounding[0] + node_bounding[2],
+                  e.canvasY - 80
+                  // + node_bounding[0]/this.canvas.width*66 // vertical "derive"
+                ];
+                this.createDefaultNodeForSlot({
+                  nodeFrom: !mClikSlot_isOut ? null : node22,
+                  slotFrom: !mClikSlot_isOut ? null : mClikSlot_index,
+                  nodeTo: !mClikSlot_isOut ? node22 : null,
+                  slotTo: !mClikSlot_isOut ? mClikSlot_index : null,
+                  position: posRef,
+                  nodeType: "AUTO",
+                  posAdd: [!mClikSlot_isOut ? -30 : 30, -alphaPosY * 130],
+                  posSizeFix: [!mClikSlot_isOut ? -1 : 0, 0]
+                  //-alphaPosY*2*/
+                });
+                skip_action = true;
+              }
+            }
+          }
+        }
+        if (!skip_action && this.allow_dragcanvas) {
+          this.dragging_canvas = true;
+        }
+      } else if (e.which == 3 || this.pointer_is_double) {
+        if (this.allow_interaction && !skip_action && !this.read_only) {
+          if (node22) {
+            if (Object.keys(this.selected_nodes).length && (this.selected_nodes[node22.id] || e.shiftKey || e.ctrlKey || e.metaKey)) {
+              if (!this.selected_nodes[node22.id]) this.selectNodes([node22], true);
+            } else {
+              this.selectNodes([node22]);
+            }
+          }
+          this.processContextMenu(node22, e);
+        }
+      }
+      this.last_mouse[0] = e.clientX;
+      this.last_mouse[1] = e.clientY;
+      this.last_mouseclick = LiteGraph.getTime();
+      this.last_mouse_dragging = true;
+      this.graph.change();
+      if (!ref_window2.document.activeElement || ref_window2.document.activeElement.nodeName.toLowerCase() != "input" && ref_window2.document.activeElement.nodeName.toLowerCase() != "textarea") {
+        e.preventDefault();
+      }
+      e.stopPropagation();
+      if (this.onMouseDown) {
+        this.onMouseDown(e);
+      }
+      return false;
+    }
+    /**
+         * Called when a mouse move event has to be processed
+         * @method processMouseMove
+         **/
+    processMouseMove(e) {
+      if (this.autoresize) {
+        this.resize();
+      }
+      if (this.set_canvas_dirty_on_mouse_event)
+        this.dirty_canvas = true;
+      if (!this.graph) {
+        return;
+      }
+      __LGraphCanvas.active_canvas = this;
+      this.adjustMouseEvent(e);
+      var mouse = [e.clientX, e.clientY];
+      this.mouse[0] = mouse[0];
+      this.mouse[1] = mouse[1];
+      var delta2 = [
+        mouse[0] - this.last_mouse[0],
+        mouse[1] - this.last_mouse[1]
+      ];
+      this.last_mouse = mouse;
+      this.graph_mouse[0] = e.canvasX;
+      this.graph_mouse[1] = e.canvasY;
+      if (this.block_click) {
+        e.preventDefault();
+        return false;
+      }
+      e.dragging = this.last_mouse_dragging;
+      if (this.node_widget) {
+        this.processNodeWidgets(
+          this.node_widget[0],
+          this.graph_mouse,
+          e,
+          this.node_widget[1]
+        );
+        this.dirty_canvas = true;
+      }
+      var node22 = this.graph.getNodeOnPos(e.canvasX, e.canvasY, this.visible_nodes);
+      if (this.dragging_rectangle) {
+        this.dragging_rectangle[2] = e.canvasX - this.dragging_rectangle[0];
+        this.dragging_rectangle[3] = e.canvasY - this.dragging_rectangle[1];
+        this.dirty_canvas = true;
+      } else if (this.selected_group && !this.read_only) {
+        if (this.selected_group_resizing) {
+          this.selected_group.size = [
+            e.canvasX - this.selected_group.pos[0],
+            e.canvasY - this.selected_group.pos[1]
+          ];
+        } else {
+          var deltax = delta2[0] / this.ds.scale;
+          var deltay = delta2[1] / this.ds.scale;
+          this.selected_group.move(deltax, deltay, e.ctrlKey);
+          if (this.selected_group._nodes.length) {
+            this.dirty_canvas = true;
+          }
+        }
+        this.dirty_bgcanvas = true;
+      } else if (this.dragging_canvas) {
+        this.ds.offset[0] += delta2[0] / this.ds.scale;
+        this.ds.offset[1] += delta2[1] / this.ds.scale;
+        this.dirty_canvas = true;
+        this.dirty_bgcanvas = true;
+      } else if ((this.allow_interaction || node22 && node22.flags.allow_interaction) && !this.read_only) {
+        if (this.connecting_links) {
+          this.dirty_canvas = true;
+        }
+        for (var i2 = 0, l = this.graph._nodes.length; i2 < l; ++i2) {
+          if (this.graph._nodes[i2].mouseOver && node22 != this.graph._nodes[i2]) {
+            this.graph._nodes[i2].mouseOver = false;
+            if (this.node_over && this.node_over.onMouseLeave) {
+              this.node_over.onMouseLeave(e);
+            }
+            this.node_over = null;
+            this.dirty_canvas = true;
+          }
+        }
+        if (node22) {
+          if (node22.redraw_on_mouse)
+            this.dirty_canvas = true;
+          if (!node22.mouseOver) {
+            node22.mouseOver = true;
+            this.node_over = node22;
+            this.dirty_canvas = true;
+            if (node22.onMouseEnter) {
+              node22.onMouseEnter(e);
+            }
+          }
+          if (node22.onMouseMove) {
+            node22.onMouseMove(e, [e.canvasX - node22.pos[0], e.canvasY - node22.pos[1]], this);
+          }
+          if (this.connecting_links) {
+            const firstLink = this.connecting_links[0];
+            if (firstLink.output) {
+              var pos2 = this._highlight_input || [0, 0];
+              if (this.isOverNodeBox(node22, e.canvasX, e.canvasY)) ;
+              else {
+                var slot = this.isOverNodeInput(node22, e.canvasX, e.canvasY, pos2);
+                if (slot != -1 && node22.inputs[slot] && LiteGraph.isValidConnection(firstLink.output.type, node22.inputs[slot].type)) {
+                  this._highlight_input = pos2;
+                  this._highlight_input_slot = node22.inputs[slot];
+                } else {
+                  this._highlight_input = null;
+                  this._highlight_input_slot = null;
+                }
+              }
+            } else if (firstLink.input) {
+              var pos2 = this._highlight_output || [0, 0];
+              if (this.isOverNodeBox(node22, e.canvasX, e.canvasY)) ;
+              else {
+                var slot = this.isOverNodeOutput(node22, e.canvasX, e.canvasY, pos2);
+                if (slot != -1 && node22.outputs[slot] && LiteGraph.isValidConnection(firstLink.input.type, node22.outputs[slot].type)) {
+                  this._highlight_output = pos2;
+                } else {
+                  this._highlight_output = null;
+                }
+              }
+            }
+          }
+          if (this.canvas) {
+            if (node22.inResizeCorner(e.canvasX, e.canvasY)) {
+              this.canvas.style.cursor = "se-resize";
+            } else {
+              this.canvas.style.cursor = "crosshair";
+            }
+          }
+        } else {
+          var over_link = null;
+          for (var i2 = 0; i2 < this.visible_links.length; ++i2) {
+            var link = this.visible_links[i2];
+            var center = link._pos;
+            if (!center || e.canvasX < center[0] - 4 || e.canvasX > center[0] + 4 || e.canvasY < center[1] - 4 || e.canvasY > center[1] + 4) {
+              continue;
+            }
+            over_link = link;
+            break;
+          }
+          if (over_link != this.over_link_center) {
+            this.over_link_center = over_link;
+            this.dirty_canvas = true;
+          }
+          if (this.canvas) {
+            this.canvas.style.cursor = "";
+          }
+        }
+        if (this.node_capturing_input && this.node_capturing_input != node22 && this.node_capturing_input.onMouseMove) {
+          this.node_capturing_input.onMouseMove(e, [e.canvasX - this.node_capturing_input.pos[0], e.canvasY - this.node_capturing_input.pos[1]], this);
+        }
+        if (this.node_dragged && !this.live_mode) {
+          for (var i2 in this.selected_nodes) {
+            var n = this.selected_nodes[i2];
+            n.pos[0] += delta2[0] / this.ds.scale;
+            n.pos[1] += delta2[1] / this.ds.scale;
+            if (!n.is_selected) this.processNodeSelected(n, e);
+          }
+          this.dirty_canvas = true;
+          this.dirty_bgcanvas = true;
+        }
+        if (this.resizing_node && !this.live_mode) {
+          var desired_size = [e.canvasX - this.resizing_node.pos[0], e.canvasY - this.resizing_node.pos[1]];
+          var min_size = this.resizing_node.computeSize();
+          desired_size[0] = Math.max(min_size[0], desired_size[0]);
+          desired_size[1] = Math.max(min_size[1], desired_size[1]);
+          this.resizing_node.setSize(desired_size);
+          this.canvas.style.cursor = "se-resize";
+          this.dirty_canvas = true;
+          this.dirty_bgcanvas = true;
+        }
+      }
+      e.preventDefault();
+      return false;
+    }
+    /**
+         * Called when a mouse up event has to be processed
+         * @method processMouseUp
+         **/
+    processMouseUp(e) {
+      var is_primary = e.isPrimary === void 0 || e.isPrimary;
+      if (!is_primary) {
+        return false;
+      }
+      if (!this.graph)
+        return;
+      var window2 = this.getCanvasWindow();
+      var document2 = window2.document;
+      __LGraphCanvas.active_canvas = this;
+      if (!this.options.skip_events) {
+        LiteGraph.pointerListenerRemove(document2, "move", this._mousemove_callback, true);
+        LiteGraph.pointerListenerAdd(this.canvas, "move", this._mousemove_callback, true);
+        LiteGraph.pointerListenerRemove(document2, "up", this._mouseup_callback, true);
+      }
+      this.adjustMouseEvent(e);
+      var now2 = LiteGraph.getTime();
+      e.click_time = now2 - this.last_mouseclick;
+      this.last_mouse_dragging = false;
+      this.last_click_position = null;
+      if (this.block_click) {
+        this.block_click = false;
+      }
+      if (e.which == 1) {
+        if (this.node_widget) {
+          this.processNodeWidgets(this.node_widget[0], this.graph_mouse, e);
+        }
+        this.node_widget = null;
+        if (this.selected_group) {
+          var diffx = this.selected_group.pos[0] - Math.round(this.selected_group.pos[0]);
+          var diffy = this.selected_group.pos[1] - Math.round(this.selected_group.pos[1]);
+          this.selected_group.move(diffx, diffy, e.ctrlKey);
+          this.selected_group.pos[0] = Math.round(
+            this.selected_group.pos[0]
+          );
+          this.selected_group.pos[1] = Math.round(
+            this.selected_group.pos[1]
+          );
+          if (this.selected_group._nodes.length) {
+            this.dirty_canvas = true;
+          }
+          this.selected_group = null;
+        }
+        this.selected_group_resizing = false;
+        var node22 = this.graph.getNodeOnPos(
+          e.canvasX,
+          e.canvasY,
+          this.visible_nodes
+        );
+        if (this.dragging_rectangle) {
+          if (this.graph) {
+            var nodes = this.graph._nodes;
+            var node_bounding = new Float32Array(4);
+            var w2 = Math.abs(this.dragging_rectangle[2]);
+            var h2 = Math.abs(this.dragging_rectangle[3]);
+            var startx = this.dragging_rectangle[2] < 0 ? this.dragging_rectangle[0] - w2 : this.dragging_rectangle[0];
+            var starty = this.dragging_rectangle[3] < 0 ? this.dragging_rectangle[1] - h2 : this.dragging_rectangle[1];
+            this.dragging_rectangle[0] = startx;
+            this.dragging_rectangle[1] = starty;
+            this.dragging_rectangle[2] = w2;
+            this.dragging_rectangle[3] = h2;
+            if (!node22 || w2 > 10 && h2 > 10) {
+              var to_select = [];
+              for (var i2 = 0; i2 < nodes.length; ++i2) {
+                var nodeX = nodes[i2];
+                nodeX.getBounding(node_bounding);
+                if (!overlapBounding(
+                  this.dragging_rectangle,
+                  node_bounding
+                )) {
+                  continue;
+                }
+                to_select.push(nodeX);
+              }
+              if (to_select.length) {
+                this.selectNodes(to_select, e.shiftKey);
+              }
+            } else {
+              this.selectNodes([node22], e.shiftKey || e.ctrlKey);
+            }
+          }
+          this.dragging_rectangle = null;
+        } else if (this.connecting_links) {
+          if (node22) {
+            for (const link of this.connecting_links) {
+              this.dirty_canvas = true;
+              this.dirty_bgcanvas = true;
+              if (link.output) {
+                var slot = this.isOverNodeInput(
+                  node22,
+                  e.canvasX,
+                  e.canvasY
+                );
+                if (slot != -1) {
+                  link.node.connect(link.slot, node22, slot);
+                } else {
+                  link.node.connectByType(link.slot, node22, link.output.type);
+                }
+              } else if (link.input) {
+                var slot = this.isOverNodeOutput(
+                  node22,
+                  e.canvasX,
+                  e.canvasY
+                );
+                if (slot != -1) {
+                  node22.connect(slot, link.node, link.slot);
+                } else {
+                  link.node.connectByTypeOutput(link.slot, node22, link.input.type);
+                }
+              }
+            }
+          } else {
+            const firstLink = this.connecting_links[0];
+            const linkReleaseContext = firstLink.output ? {
+              node_from: firstLink.node,
+              slot_from: firstLink.output,
+              type_filter_in: firstLink.output.type
+            } : {
+              node_to: firstLink.node,
+              slot_from: firstLink.input,
+              type_filter_out: firstLink.input.type
+            };
+            const linkReleaseContextExtended = {
+              links: this.connecting_links
+            };
+            this.canvas.dispatchEvent(new CustomEvent(
+              "litegraph:canvas",
+              {
+                bubbles: true,
+                detail: {
+                  subType: "empty-release",
+                  originalEvent: e,
+                  linkReleaseContext: linkReleaseContextExtended
+                }
+              }
+            ));
+            if (LiteGraph.release_link_on_empty_shows_menu) {
+              if (e.shiftKey) {
+                if (this.allow_searchbox) {
+                  this.showSearchBox(e, linkReleaseContext);
+                }
+              } else {
+                if (firstLink.output) {
+                  this.showConnectionMenu({ nodeFrom: firstLink.node, slotFrom: firstLink.output, e });
+                } else if (firstLink.input) {
+                  this.showConnectionMenu({ nodeTo: firstLink.node, slotTo: firstLink.input, e });
+                }
+              }
+            }
+          }
+          this.connecting_links = null;
+        } else if (this.resizing_node) {
+          this.dirty_canvas = true;
+          this.dirty_bgcanvas = true;
+          this.graph.afterChange(this.resizing_node);
+          this.resizing_node = null;
+        } else if (this.node_dragged) {
+          var node22 = this.node_dragged;
+          if (node22 && e.click_time < 300 && isInsideRectangle(e.canvasX, e.canvasY, node22.pos[0], node22.pos[1] - LiteGraph.NODE_TITLE_HEIGHT, LiteGraph.NODE_TITLE_HEIGHT, LiteGraph.NODE_TITLE_HEIGHT)) {
+            node22.collapse();
+          }
+          this.dirty_canvas = true;
+          this.dirty_bgcanvas = true;
+          this.node_dragged.pos[0] = Math.round(this.node_dragged.pos[0]);
+          this.node_dragged.pos[1] = Math.round(this.node_dragged.pos[1]);
+          if (this.graph.config.align_to_grid || this.align_to_grid) {
+            this.node_dragged.alignToGrid();
+          }
+          if (this.onNodeMoved)
+            this.onNodeMoved(this.node_dragged);
+          this.graph.afterChange(this.node_dragged);
+          this.node_dragged = null;
+        } else {
+          var node22 = this.graph.getNodeOnPos(
+            e.canvasX,
+            e.canvasY,
+            this.visible_nodes
+          );
+          if (!node22 && e.click_time < 300) {
+            this.deselectAllNodes();
+          }
+          this.dirty_canvas = true;
+          this.dragging_canvas = false;
+          if (this.node_over && this.node_over.onMouseUp) {
+            this.node_over.onMouseUp(e, [e.canvasX - this.node_over.pos[0], e.canvasY - this.node_over.pos[1]], this);
+          }
+          if (this.node_capturing_input && this.node_capturing_input.onMouseUp) {
+            this.node_capturing_input.onMouseUp(e, [
+              e.canvasX - this.node_capturing_input.pos[0],
+              e.canvasY - this.node_capturing_input.pos[1]
+            ]);
+          }
+        }
+      } else if (e.which == 2) {
+        this.dirty_canvas = true;
+        this.dragging_canvas = false;
+      } else if (e.which == 3) {
+        this.dirty_canvas = true;
+        this.dragging_canvas = false;
+      }
+      if (is_primary) {
+        this.pointer_is_down = false;
+        this.pointer_is_double = false;
+      }
+      this.graph.change();
+      e.stopPropagation();
+      e.preventDefault();
+      return false;
+    }
+    /**
+         * Called when a mouse wheel event has to be processed
+         * @method processMouseWheel
+         **/
+    processMouseWheel(e) {
+      if (!this.graph || !this.allow_dragcanvas) {
+        return;
+      }
+      var delta2 = e.wheelDeltaY != null ? e.wheelDeltaY : e.detail * -60;
+      this.adjustMouseEvent(e);
+      var x2 = e.clientX;
+      var y2 = e.clientY;
+      var is_inside = !this.viewport || this.viewport && x2 >= this.viewport[0] && x2 < this.viewport[0] + this.viewport[2] && y2 >= this.viewport[1] && y2 < this.viewport[1] + this.viewport[3];
+      if (!is_inside)
+        return;
+      var scale = this.ds.scale;
+      if (delta2 > 0) {
+        scale *= this.zoom_speed;
+      } else if (delta2 < 0) {
+        scale *= 1 / this.zoom_speed;
+      }
+      this.ds.changeScale(scale, [e.clientX, e.clientY]);
+      this.graph.change();
+      e.preventDefault();
+      return false;
+    }
+    /**
+         * returns true if a position (in graph space) is on top of a node little corner box
+         * @method isOverNodeBox
+         **/
+    isOverNodeBox(node22, canvasx, canvasy) {
+      var title_height = LiteGraph.NODE_TITLE_HEIGHT;
+      if (isInsideRectangle(
+        canvasx,
+        canvasy,
+        node22.pos[0] + 2,
+        node22.pos[1] + 2 - title_height,
+        title_height - 4,
+        title_height - 4
+      )) {
+        return true;
+      }
+      return false;
+    }
+    /**
+         * returns the INDEX if a position (in graph space) is on top of a node input slot
+         * @method isOverNodeInput
+         **/
+    isOverNodeInput(node22, canvasx, canvasy, slot_pos) {
+      var _a, _b;
+      if (node22.inputs) {
+        for (var i2 = 0, l = node22.inputs.length; i2 < l; ++i2) {
+          var input = node22.inputs[i2];
+          var link_pos = node22.getConnectionPos(true, i2);
+          var is_inside = false;
+          if (node22.horizontal) {
+            is_inside = isInsideRectangle(
+              canvasx,
+              canvasy,
+              link_pos[0] - 5,
+              link_pos[1] - 10,
+              10,
+              20
+            );
+          } else {
+            const width2 = 20 + ((((_a = input.label) == null ? void 0 : _a.length) ?? ((_b = input.name) == null ? void 0 : _b.length)) || 3) * 7;
+            is_inside = isInsideRectangle(
+              canvasx,
+              canvasy,
+              link_pos[0] - 10,
+              link_pos[1] - 10,
+              width2,
+              20
+            );
+          }
+          if (is_inside) {
+            if (slot_pos) {
+              slot_pos[0] = link_pos[0];
+              slot_pos[1] = link_pos[1];
+            }
+            return i2;
+          }
+        }
+      }
+      return -1;
+    }
+    /**
+         * returns the INDEX if a position (in graph space) is on top of a node output slot
+         * @method isOverNodeOuput
+         **/
+    isOverNodeOutput(node22, canvasx, canvasy, slot_pos) {
+      if (node22.outputs) {
+        for (var i2 = 0, l = node22.outputs.length; i2 < l; ++i2) {
+          node22.outputs[i2];
+          var link_pos = node22.getConnectionPos(false, i2);
+          var is_inside = false;
+          if (node22.horizontal) {
+            is_inside = isInsideRectangle(
+              canvasx,
+              canvasy,
+              link_pos[0] - 5,
+              link_pos[1] - 10,
+              10,
+              20
+            );
+          } else {
+            is_inside = isInsideRectangle(
+              canvasx,
+              canvasy,
+              link_pos[0] - 10,
+              link_pos[1] - 10,
+              40,
+              20
+            );
+          }
+          if (is_inside) {
+            if (slot_pos) {
+              slot_pos[0] = link_pos[0];
+              slot_pos[1] = link_pos[1];
+            }
+            return i2;
+          }
+        }
+      }
+      return -1;
+    }
+    /**
+         * process a key event
+         * @method processKey
+         **/
+    processKey(e) {
+      if (!this.graph) {
+        return;
+      }
+      var block_default = false;
+      if (e.target.localName == "input") {
+        return;
+      }
+      if (e.type == "keydown") {
+        if (e.keyCode == 32) {
+          this.dragging_canvas = true;
+          block_default = true;
+        }
+        if (e.keyCode == 27) {
+          if (this.node_panel) this.node_panel.close();
+          if (this.options_panel) this.options_panel.close();
+          block_default = true;
+        }
+        if (e.keyCode == 65 && e.ctrlKey) {
+          this.selectNodes();
+          block_default = true;
+        }
+        if (e.keyCode === 67 && (e.metaKey || e.ctrlKey) && !e.shiftKey) {
+          if (this.selected_nodes) {
+            this.copyToClipboard();
+            block_default = true;
+          }
+        }
+        if (e.keyCode === 86 && (e.metaKey || e.ctrlKey)) {
+          this.pasteFromClipboard(e.shiftKey);
+        }
+        if (e.keyCode == 46 || e.keyCode == 8) {
+          if (e.target.localName != "input" && e.target.localName != "textarea") {
+            this.deleteSelectedNodes();
+            block_default = true;
+          }
+        }
+        if (this.selected_nodes) {
+          for (var i2 in this.selected_nodes) {
+            if (this.selected_nodes[i2].onKeyDown) {
+              this.selected_nodes[i2].onKeyDown(e);
+            }
+          }
+        }
+      } else if (e.type == "keyup") {
+        if (e.keyCode == 32) {
+          this.dragging_canvas = false;
+        }
+        if (this.selected_nodes) {
+          for (var i2 in this.selected_nodes) {
+            if (this.selected_nodes[i2].onKeyUp) {
+              this.selected_nodes[i2].onKeyUp(e);
+            }
+          }
+        }
+      }
+      this.graph.change();
+      if (block_default) {
+        e.preventDefault();
+        e.stopImmediatePropagation();
+        return false;
+      }
+    }
+    copyToClipboard(nodes) {
+      var clipboard_info = {
+        nodes: [],
+        links: []
+      };
+      var index2 = 0;
+      var selected_nodes_array = [];
+      if (!nodes) nodes = this.selected_nodes;
+      for (var i2 in nodes) {
+        var node22 = nodes[i2];
+        if (node22.clonable === false)
+          continue;
+        node22._relative_id = index2;
+        selected_nodes_array.push(node22);
+        index2 += 1;
+      }
+      for (var i2 = 0; i2 < selected_nodes_array.length; ++i2) {
+        var node22 = selected_nodes_array[i2];
+        var cloned = node22.clone();
+        if (!cloned) {
+          console.warn("node type not found: " + node22.type);
+          continue;
+        }
+        clipboard_info.nodes.push(cloned.serialize());
+        if (node22.inputs && node22.inputs.length) {
+          for (var j = 0; j < node22.inputs.length; ++j) {
+            var input = node22.inputs[j];
+            if (!input || input.link == null) {
+              continue;
+            }
+            var link_info = this.graph.links[input.link];
+            if (!link_info) {
+              continue;
+            }
+            var target_node = this.graph.getNodeById(
+              link_info.origin_id
+            );
+            if (!target_node) {
+              continue;
+            }
+            clipboard_info.links.push([
+              target_node._relative_id,
+              link_info.origin_slot,
+              //j,
+              node22._relative_id,
+              link_info.target_slot,
+              target_node.id
+            ]);
+          }
+        }
+      }
+      localStorage.setItem(
+        "litegrapheditor_clipboard",
+        JSON.stringify(clipboard_info)
+      );
+    }
+    pasteFromClipboard(isConnectUnselected = false) {
+      if (!LiteGraph.ctrl_shift_v_paste_connect_unselected_outputs && isConnectUnselected) {
+        return;
+      }
+      var data24 = localStorage.getItem("litegrapheditor_clipboard");
+      if (!data24) {
+        return;
+      }
+      this.graph.beforeChange();
+      var clipboard_info = JSON.parse(data24);
+      var posMin = false;
+      var posMinIndexes = false;
+      for (var i2 = 0; i2 < clipboard_info.nodes.length; ++i2) {
+        if (posMin) {
+          if (posMin[0] > clipboard_info.nodes[i2].pos[0]) {
+            posMin[0] = clipboard_info.nodes[i2].pos[0];
+            posMinIndexes[0] = i2;
+          }
+          if (posMin[1] > clipboard_info.nodes[i2].pos[1]) {
+            posMin[1] = clipboard_info.nodes[i2].pos[1];
+            posMinIndexes[1] = i2;
+          }
+        } else {
+          posMin = [clipboard_info.nodes[i2].pos[0], clipboard_info.nodes[i2].pos[1]];
+          posMinIndexes = [i2, i2];
+        }
+      }
+      var nodes = [];
+      for (var i2 = 0; i2 < clipboard_info.nodes.length; ++i2) {
+        var node_data = clipboard_info.nodes[i2];
+        var node22 = LiteGraph.createNode(node_data.type);
+        if (node22) {
+          node22.configure(node_data);
+          node22.pos[0] += this.graph_mouse[0] - posMin[0];
+          node22.pos[1] += this.graph_mouse[1] - posMin[1];
+          this.graph.add(node22, { doProcessChange: false });
+          nodes.push(node22);
+        }
+      }
+      for (var i2 = 0; i2 < clipboard_info.links.length; ++i2) {
+        var link_info = clipboard_info.links[i2];
+        var origin_node = void 0;
+        var origin_node_relative_id = link_info[0];
+        if (origin_node_relative_id != null) {
+          origin_node = nodes[origin_node_relative_id];
+        } else if (LiteGraph.ctrl_shift_v_paste_connect_unselected_outputs && isConnectUnselected) {
+          var origin_node_id = link_info[4];
+          if (origin_node_id) {
+            origin_node = this.graph.getNodeById(origin_node_id);
+          }
+        }
+        var target_node = nodes[link_info[2]];
+        if (origin_node && target_node)
+          origin_node.connect(link_info[1], target_node, link_info[3]);
+        else
+          console.warn("Warning, nodes missing on pasting");
+      }
+      this.selectNodes(nodes);
+      this.graph.afterChange();
+    }
+    /**
+         * process a item drop event on top the canvas
+         * @method processDrop
+         **/
+    processDrop(e) {
+      e.preventDefault();
+      this.adjustMouseEvent(e);
+      var x2 = e.clientX;
+      var y2 = e.clientY;
+      var is_inside = !this.viewport || this.viewport && x2 >= this.viewport[0] && x2 < this.viewport[0] + this.viewport[2] && y2 >= this.viewport[1] && y2 < this.viewport[1] + this.viewport[3];
+      if (!is_inside) {
+        return;
+      }
+      var pos2 = [e.canvasX, e.canvasY];
+      var node22 = this.graph ? this.graph.getNodeOnPos(pos2[0], pos2[1]) : null;
+      if (!node22) {
+        var r = null;
+        if (this.onDropItem) {
+          r = this.onDropItem(event);
+        }
+        if (!r) {
+          this.checkDropItem(e);
+        }
+        return;
+      }
+      if (node22.onDropFile || node22.onDropData) {
+        var files = e.dataTransfer.files;
+        if (files && files.length) {
+          for (var i2 = 0; i2 < files.length; i2++) {
+            var file = e.dataTransfer.files[0];
+            var filename = file.name;
+            __LGraphCanvas.getFileExtension(filename);
+            if (node22.onDropFile) {
+              node22.onDropFile(file);
+            }
+            if (node22.onDropData) {
+              var reader = new FileReader();
+              reader.onload = function(event2) {
+                var data24 = event2.target.result;
+                node22.onDropData(data24, filename, file);
+              };
+              var type = file.type.split("/")[0];
+              if (type == "text" || type == "") {
+                reader.readAsText(file);
+              } else if (type == "image") {
+                reader.readAsDataURL(file);
+              } else {
+                reader.readAsArrayBuffer(file);
+              }
+            }
+          }
+        }
+      }
+      if (node22.onDropItem) {
+        if (node22.onDropItem(event)) {
+          return true;
+        }
+      }
+      if (this.onDropItem) {
+        return this.onDropItem(event);
+      }
+      return false;
+    }
+    //called if the graph doesn't have a default drop item behaviour
+    checkDropItem(e) {
+      if (e.dataTransfer.files.length) {
+        var file = e.dataTransfer.files[0];
+        var ext = __LGraphCanvas.getFileExtension(file.name).toLowerCase();
+        var nodetype = LiteGraph.node_types_by_file_extension[ext];
+        if (nodetype) {
+          this.graph.beforeChange();
+          var node22 = LiteGraph.createNode(nodetype.type);
+          node22.pos = [e.canvasX, e.canvasY];
+          this.graph.add(node22);
+          if (node22.onDropFile) {
+            node22.onDropFile(file);
+          }
+          this.graph.afterChange();
+        }
+      }
+    }
+    processNodeDblClicked(n) {
+      if (this.onShowNodePanel) {
+        this.onShowNodePanel(n);
+      }
+      if (this.onNodeDblClicked) {
+        this.onNodeDblClicked(n);
+      }
+      this.setDirty(true);
+    }
+    processNodeSelected(node22, e) {
+      this.selectNode(node22, e && (e.shiftKey || e.ctrlKey || this.multi_select));
+      if (this.onNodeSelected) {
+        this.onNodeSelected(node22);
+      }
+    }
+    /**
+         * selects a given node (or adds it to the current selection)
+         * @method selectNode
+         **/
+    selectNode(node22, add_to_current_selection) {
+      if (node22 == null) {
+        this.deselectAllNodes();
+      } else {
+        this.selectNodes([node22], add_to_current_selection);
+      }
+    }
+    /**
+         * selects several nodes (or adds them to the current selection)
+         * @method selectNodes
+         **/
+    selectNodes(nodes, add_to_current_selection) {
+      if (!add_to_current_selection) {
+        this.deselectAllNodes();
+      }
+      nodes = nodes || this.graph._nodes;
+      if (typeof nodes == "string") nodes = [nodes];
+      for (var i2 in nodes) {
+        var node22 = nodes[i2];
+        if (node22.is_selected) {
+          this.deselectNode(node22);
+          continue;
+        }
+        if (!node22.is_selected && node22.onSelected) {
+          node22.onSelected();
+        }
+        node22.is_selected = true;
+        this.selected_nodes[node22.id] = node22;
+        if (node22.inputs) {
+          for (var j = 0; j < node22.inputs.length; ++j) {
+            this.highlighted_links[node22.inputs[j].link] = true;
+          }
+        }
+        if (node22.outputs) {
+          for (var j = 0; j < node22.outputs.length; ++j) {
+            var out = node22.outputs[j];
+            if (out.links) {
+              for (var k = 0; k < out.links.length; ++k) {
+                this.highlighted_links[out.links[k]] = true;
+              }
+            }
+          }
+        }
+      }
+      if (this.onSelectionChange)
+        this.onSelectionChange(this.selected_nodes);
+      this.setDirty(true);
+    }
+    /**
+         * removes a node from the current selection
+         * @method deselectNode
+         **/
+    deselectNode(node22) {
+      if (!node22.is_selected) {
+        return;
+      }
+      if (node22.onDeselected) {
+        node22.onDeselected();
+      }
+      node22.is_selected = false;
+      delete this.selected_nodes[node22.id];
+      if (this.onNodeDeselected) {
+        this.onNodeDeselected(node22);
+      }
+      if (node22.inputs) {
+        for (var i2 = 0; i2 < node22.inputs.length; ++i2) {
+          delete this.highlighted_links[node22.inputs[i2].link];
+        }
+      }
+      if (node22.outputs) {
+        for (var i2 = 0; i2 < node22.outputs.length; ++i2) {
+          var out = node22.outputs[i2];
+          if (out.links) {
+            for (var j = 0; j < out.links.length; ++j) {
+              delete this.highlighted_links[out.links[j]];
+            }
+          }
+        }
+      }
+    }
+    /**
+         * removes all nodes from the current selection
+         * @method deselectAllNodes
+         **/
+    deselectAllNodes() {
+      if (!this.graph) {
+        return;
+      }
+      var nodes = this.graph._nodes;
+      for (var i2 = 0, l = nodes.length; i2 < l; ++i2) {
+        var node22 = nodes[i2];
+        if (!node22.is_selected) {
+          continue;
+        }
+        if (node22.onDeselected) {
+          node22.onDeselected();
+        }
+        node22.is_selected = false;
+        if (this.onNodeDeselected) {
+          this.onNodeDeselected(node22);
+        }
+      }
+      this.selected_nodes = {};
+      this.current_node = null;
+      this.highlighted_links = {};
+      if (this.onSelectionChange)
+        this.onSelectionChange(this.selected_nodes);
+      this.setDirty(true);
+    }
+    /**
+         * deletes all nodes in the current selection from the graph
+         * @method deleteSelectedNodes
+         **/
+    deleteSelectedNodes() {
+      this.graph.beforeChange();
+      for (var i2 in this.selected_nodes) {
+        var node22 = this.selected_nodes[i2];
+        if (node22.block_delete)
+          continue;
+        if (node22.inputs && node22.inputs.length && node22.outputs && node22.outputs.length && LiteGraph.isValidConnection(node22.inputs[0].type, node22.outputs[0].type) && node22.inputs[0].link && node22.outputs[0].links && node22.outputs[0].links.length) {
+          var input_link = node22.graph.links[node22.inputs[0].link];
+          var output_link = node22.graph.links[node22.outputs[0].links[0]];
+          var input_node = node22.getInputNode(0);
+          var output_node = node22.getOutputNodes(0)[0];
+          if (input_node && output_node)
+            input_node.connect(input_link.origin_slot, output_node, output_link.target_slot);
+        }
+        this.graph.remove(node22);
+        if (this.onNodeDeselected) {
+          this.onNodeDeselected(node22);
+        }
+      }
+      this.selected_nodes = {};
+      this.current_node = null;
+      this.highlighted_links = {};
+      this.setDirty(true);
+      this.graph.afterChange();
+    }
+    /**
+         * centers the camera on a given node
+         * @method centerOnNode
+         **/
+    centerOnNode(node22) {
+      const dpi = (window == null ? void 0 : window.devicePixelRatio) || 1;
+      this.ds.offset[0] = -node22.pos[0] - node22.size[0] * 0.5 + this.canvas.width * 0.5 / (this.ds.scale * dpi);
+      this.ds.offset[1] = -node22.pos[1] - node22.size[1] * 0.5 + this.canvas.height * 0.5 / (this.ds.scale * dpi);
+      this.setDirty(true, true);
+    }
+    /**
+         * adds some useful properties to a mouse event, like the position in graph coordinates
+         * @method adjustMouseEvent
+         **/
+    adjustMouseEvent(e) {
+      var clientX_rel = 0;
+      var clientY_rel = 0;
+      if (this.canvas) {
+        var b = this.canvas.getBoundingClientRect();
+        clientX_rel = e.clientX - b.left;
+        clientY_rel = e.clientY - b.top;
+      } else {
+        clientX_rel = e.clientX;
+        clientY_rel = e.clientY;
+      }
+      if (e.deltaX === void 0)
+        e.deltaX = clientX_rel - this.last_mouse_position[0];
+      if (e.deltaY === void 0)
+        e.deltaY = clientY_rel - this.last_mouse_position[1];
+      this.last_mouse_position[0] = clientX_rel;
+      this.last_mouse_position[1] = clientY_rel;
+      e.canvasX = clientX_rel / this.ds.scale - this.ds.offset[0];
+      e.canvasY = clientY_rel / this.ds.scale - this.ds.offset[1];
+    }
+    /**
+         * changes the zoom level of the graph (default is 1), you can pass also a place used to pivot the zoom
+         * @method setZoom
+         **/
+    setZoom(value3, zooming_center) {
+      this.ds.changeScale(value3, zooming_center);
+      this.dirty_canvas = true;
+      this.dirty_bgcanvas = true;
+    }
+    /**
+         * converts a coordinate from graph coordinates to canvas2D coordinates
+         * @method convertOffsetToCanvas
+         **/
+    convertOffsetToCanvas(pos2, out) {
+      return this.ds.convertOffsetToCanvas(pos2, out);
+    }
+    /**
+         * converts a coordinate from Canvas2D coordinates to graph space
+         * @method convertCanvasToOffset
+         **/
+    convertCanvasToOffset(pos2, out) {
+      return this.ds.convertCanvasToOffset(pos2, out);
+    }
+    //converts event coordinates from canvas2D to graph coordinates
+    convertEventToCanvasOffset(e) {
+      var rect = this.canvas.getBoundingClientRect();
+      return this.convertCanvasToOffset([
+        e.clientX - rect.left,
+        e.clientY - rect.top
+      ]);
+    }
+    /**
+         * brings a node to front (above all other nodes)
+         * @method bringToFront
+         **/
+    bringToFront(node22) {
+      var i2 = this.graph._nodes.indexOf(node22);
+      if (i2 == -1) {
+        return;
+      }
+      this.graph._nodes.splice(i2, 1);
+      this.graph._nodes.push(node22);
+    }
+    /**
+         * sends a node to the back (below all other nodes)
+         * @method sendToBack
+         **/
+    sendToBack(node22) {
+      var i2 = this.graph._nodes.indexOf(node22);
+      if (i2 == -1) {
+        return;
+      }
+      this.graph._nodes.splice(i2, 1);
+      this.graph._nodes.unshift(node22);
+    }
+    /* LGraphCanvas render */
+    /**
+     * checks which nodes are visible (inside the camera area)
+     * @method computeVisibleNodes
+     **/
+    computeVisibleNodes(nodes, out) {
+      var visible_nodes = out || [];
+      visible_nodes.length = 0;
+      nodes = nodes || this.graph._nodes;
+      for (var i2 = 0, l = nodes.length; i2 < l; ++i2) {
+        var n = nodes[i2];
+        if (this.live_mode && !n.onDrawBackground && !n.onDrawForeground) {
+          continue;
+        }
+        if (!overlapBounding(this.visible_area, n.getBounding(__privateGet(__LGraphCanvas, _temp), true))) {
+          continue;
+        }
+        visible_nodes.push(n);
+      }
+      return visible_nodes;
+    }
+    /**
+         * renders the whole canvas content, by rendering in two separated canvas, one containing the background grid and the connections, and one containing the nodes)
+         * @method draw
+         **/
+    draw(force_canvas, force_bgcanvas) {
+      if (!this.canvas || this.canvas.width == 0 || this.canvas.height == 0) {
+        return;
+      }
+      var now2 = LiteGraph.getTime();
+      this.render_time = (now2 - this.last_draw_time) * 1e-3;
+      this.last_draw_time = now2;
+      if (this.graph) {
+        this.ds.computeVisibleArea(this.viewport);
+      }
+      if (this.dirty_bgcanvas || force_bgcanvas || this.always_render_background || this.graph && this.graph._last_trigger_time && now2 - this.graph._last_trigger_time < 1e3) {
+        this.drawBackCanvas();
+      }
+      if (this.dirty_canvas || force_canvas) {
+        this.drawFrontCanvas();
+      }
+      this.fps = this.render_time ? 1 / this.render_time : 0;
+      this.frame += 1;
+    }
+    /**
+         * draws the front canvas (the one containing all the nodes)
+         * @method drawFrontCanvas
+         **/
+    drawFrontCanvas() {
+      this.dirty_canvas = false;
+      if (!this.ctx) {
+        this.ctx = this.bgcanvas.getContext("2d");
+      }
+      var ctx = this.ctx;
+      if (!ctx) {
+        return;
+      }
+      var canvas = this.canvas;
+      if (ctx.start2D && !this.viewport) {
+        ctx.start2D();
+        ctx.restore();
+        ctx.setTransform(1, 0, 0, 1, 0, 0);
+      }
+      var area = this.viewport || this.dirty_area;
+      if (area) {
+        ctx.save();
+        ctx.beginPath();
+        ctx.rect(area[0], area[1], area[2], area[3]);
+        ctx.clip();
+      }
+      if (this.clear_background) {
+        if (area)
+          ctx.clearRect(area[0], area[1], area[2], area[3]);
+        else
+          ctx.clearRect(0, 0, canvas.width, canvas.height);
+      }
+      if (this.bgcanvas == this.canvas) {
+        this.drawBackCanvas();
+      } else {
+        ctx.drawImage(this.bgcanvas, 0, 0);
+      }
+      if (this.onRender) {
+        this.onRender(canvas, ctx);
+      }
+      if (this.show_info) {
+        this.renderInfo(ctx, area ? area[0] : 0, area ? area[1] : 0);
+      }
+      if (this.graph) {
+        ctx.save();
+        this.ds.toCanvasContext(ctx);
+        var visible_nodes = this.computeVisibleNodes(
+          null,
+          this.visible_nodes
+        );
+        for (var i2 = 0; i2 < visible_nodes.length; ++i2) {
+          var node22 = visible_nodes[i2];
+          ctx.save();
+          ctx.translate(node22.pos[0], node22.pos[1]);
+          this.drawNode(node22, ctx);
+          ctx.restore();
+        }
+        if (this.render_execution_order) {
+          this.drawExecutionOrder(ctx);
+        }
+        if (this.graph.config.links_ontop) {
+          if (!this.live_mode) {
+            this.drawConnections(ctx);
+          }
+        }
+        if (this.connecting_links) {
+          for (const link of this.connecting_links) {
+            ctx.lineWidth = this.connections_width;
+            var link_color = null;
+            var connInOrOut = link.output || link.input;
+            var connType = connInOrOut.type;
+            var connDir = connInOrOut.dir;
+            if (connDir == null) {
+              if (link.output)
+                connDir = link.node.horizontal ? LiteGraph.DOWN : LiteGraph.RIGHT;
+              else
+                connDir = link.node.horizontal ? LiteGraph.UP : LiteGraph.LEFT;
+            }
+            var connShape = connInOrOut.shape;
+            switch (connType) {
+              case LiteGraph.EVENT:
+                link_color = LiteGraph.EVENT_LINK_COLOR;
+                break;
+              default:
+                link_color = LiteGraph.CONNECTING_LINK_COLOR;
+            }
+            this.renderLink(
+              ctx,
+              link.pos,
+              [this.graph_mouse[0], this.graph_mouse[1]],
+              null,
+              false,
+              null,
+              link_color,
+              connDir,
+              LiteGraph.CENTER
+            );
+            ctx.beginPath();
+            if (connType === LiteGraph.EVENT || connShape === LiteGraph.BOX_SHAPE) {
+              ctx.rect(
+                link.pos[0] - 6 + 0.5,
+                link.pos[1] - 5 + 0.5,
+                14,
+                10
+              );
+              ctx.fill();
+              ctx.beginPath();
+              ctx.rect(
+                this.graph_mouse[0] - 6 + 0.5,
+                this.graph_mouse[1] - 5 + 0.5,
+                14,
+                10
+              );
+            } else if (connShape === LiteGraph.ARROW_SHAPE) {
+              ctx.moveTo(link.pos[0] + 8, link.pos[1] + 0.5);
+              ctx.lineTo(link.pos[0] - 4, link.pos[1] + 6 + 0.5);
+              ctx.lineTo(link.pos[0] - 4, link.pos[1] - 6 + 0.5);
+              ctx.closePath();
+            } else {
+              ctx.arc(
+                link.pos[0],
+                link.pos[1],
+                4,
+                0,
+                Math.PI * 2
+              );
+              ctx.fill();
+              ctx.beginPath();
+              ctx.arc(
+                this.graph_mouse[0],
+                this.graph_mouse[1],
+                4,
+                0,
+                Math.PI * 2
+              );
+            }
+            ctx.fill();
+            ctx.fillStyle = "#ffcc00";
+            if (this._highlight_input) {
+              ctx.beginPath();
+              var shape = this._highlight_input_slot.shape;
+              if (shape === LiteGraph.ARROW_SHAPE) {
+                ctx.moveTo(this._highlight_input[0] + 8, this._highlight_input[1] + 0.5);
+                ctx.lineTo(this._highlight_input[0] - 4, this._highlight_input[1] + 6 + 0.5);
+                ctx.lineTo(this._highlight_input[0] - 4, this._highlight_input[1] - 6 + 0.5);
+                ctx.closePath();
+              } else {
+                ctx.arc(
+                  this._highlight_input[0],
+                  this._highlight_input[1],
+                  6,
+                  0,
+                  Math.PI * 2
+                );
+              }
+              ctx.fill();
+            }
+            if (this._highlight_output) {
+              ctx.beginPath();
+              if (shape === LiteGraph.ARROW_SHAPE) {
+                ctx.moveTo(this._highlight_output[0] + 8, this._highlight_output[1] + 0.5);
+                ctx.lineTo(this._highlight_output[0] - 4, this._highlight_output[1] + 6 + 0.5);
+                ctx.lineTo(this._highlight_output[0] - 4, this._highlight_output[1] - 6 + 0.5);
+                ctx.closePath();
+              } else {
+                ctx.arc(
+                  this._highlight_output[0],
+                  this._highlight_output[1],
+                  6,
+                  0,
+                  Math.PI * 2
+                );
+              }
+              ctx.fill();
+            }
+          }
+        }
+        if (this.dragging_rectangle) {
+          ctx.strokeStyle = "#FFF";
+          ctx.strokeRect(
+            this.dragging_rectangle[0],
+            this.dragging_rectangle[1],
+            this.dragging_rectangle[2],
+            this.dragging_rectangle[3]
+          );
+        }
+        if (this.over_link_center && this.render_link_tooltip)
+          this.drawLinkTooltip(ctx, this.over_link_center);
+        else if (this.onDrawLinkTooltip)
+          this.onDrawLinkTooltip(ctx, null);
+        if (this.onDrawForeground) {
+          this.onDrawForeground(ctx, this.visible_rect);
+        }
+        ctx.restore();
+      }
+      if (this._graph_stack && this._graph_stack.length) {
+        this.drawSubgraphPanel(ctx);
+      }
+      if (this.onDrawOverlay) {
+        this.onDrawOverlay(ctx);
+      }
+      if (area) {
+        ctx.restore();
+      }
+      if (ctx.finish2D) {
+        ctx.finish2D();
+      }
+    }
+    /**
+         * draws the panel in the corner that shows subgraph properties
+         * @method drawSubgraphPanel
+         **/
+    drawSubgraphPanel(ctx) {
+      var subgraph = this.graph;
+      var subnode = subgraph._subgraph_node;
+      if (!subnode) {
+        console.warn("subgraph without subnode");
+        return;
+      }
+      this.drawSubgraphPanelLeft(subgraph, subnode, ctx);
+      this.drawSubgraphPanelRight(subgraph, subnode, ctx);
+    }
+    drawSubgraphPanelLeft(subgraph, subnode, ctx) {
+      var num = subnode.inputs ? subnode.inputs.length : 0;
+      var w2 = 200;
+      var h2 = Math.floor(LiteGraph.NODE_SLOT_HEIGHT * 1.6);
+      ctx.fillStyle = "#111";
+      ctx.globalAlpha = 0.8;
+      ctx.beginPath();
+      ctx.roundRect(10, 10, w2, (num + 1) * h2 + 50, [8]);
+      ctx.fill();
+      ctx.globalAlpha = 1;
+      ctx.fillStyle = "#888";
+      ctx.font = "14px Arial";
+      ctx.textAlign = "left";
+      ctx.fillText("Graph Inputs", 20, 34);
+      if (this.drawButton(w2 - 20, 20, 20, 20, "X", "#151515")) {
+        this.closeSubgraph();
+        return;
+      }
+      var y2 = 50;
+      ctx.font = "14px Arial";
+      if (subnode.inputs)
+        for (var i2 = 0; i2 < subnode.inputs.length; ++i2) {
+          var input = subnode.inputs[i2];
+          if (input.not_subgraph_input)
+            continue;
+          if (this.drawButton(20, y2 + 2, w2 - 20, h2 - 2)) {
+            var type = subnode.constructor.input_node_type || "graph/input";
+            this.graph.beforeChange();
+            var newnode = LiteGraph.createNode(type);
+            if (newnode) {
+              subgraph.add(newnode);
+              this.block_click = false;
+              this.last_click_position = null;
+              this.selectNodes([newnode]);
+              this.node_dragged = newnode;
+              this.dragging_canvas = false;
+              newnode.setProperty("name", input.name);
+              newnode.setProperty("type", input.type);
+              this.node_dragged.pos[0] = this.graph_mouse[0] - 5;
+              this.node_dragged.pos[1] = this.graph_mouse[1] - 5;
+              this.graph.afterChange();
+            } else
+              console.error("graph input node not found:", type);
+          }
+          ctx.fillStyle = "#9C9";
+          ctx.beginPath();
+          ctx.arc(w2 - 16, y2 + h2 * 0.5, 5, 0, 2 * Math.PI);
+          ctx.fill();
+          ctx.fillStyle = "#AAA";
+          ctx.fillText(input.name, 30, y2 + h2 * 0.75);
+          ctx.fillStyle = "#777";
+          ctx.fillText(input.type, 130, y2 + h2 * 0.75);
+          y2 += h2;
+        }
+      if (this.drawButton(20, y2 + 2, w2 - 20, h2 - 2, "+", "#151515", "#222")) {
+        this.showSubgraphPropertiesDialog(subnode);
+      }
+    }
+    drawSubgraphPanelRight(subgraph, subnode, ctx) {
+      var num = subnode.outputs ? subnode.outputs.length : 0;
+      var canvas_w = this.bgcanvas.width;
+      var w2 = 200;
+      var h2 = Math.floor(LiteGraph.NODE_SLOT_HEIGHT * 1.6);
+      ctx.fillStyle = "#111";
+      ctx.globalAlpha = 0.8;
+      ctx.beginPath();
+      ctx.roundRect(canvas_w - w2 - 10, 10, w2, (num + 1) * h2 + 50, [8]);
+      ctx.fill();
+      ctx.globalAlpha = 1;
+      ctx.fillStyle = "#888";
+      ctx.font = "14px Arial";
+      ctx.textAlign = "left";
+      var title_text = "Graph Outputs";
+      var tw = ctx.measureText(title_text).width;
+      ctx.fillText(title_text, canvas_w - tw - 20, 34);
+      if (this.drawButton(canvas_w - w2, 20, 20, 20, "X", "#151515")) {
+        this.closeSubgraph();
+        return;
+      }
+      var y2 = 50;
+      ctx.font = "14px Arial";
+      if (subnode.outputs)
+        for (var i2 = 0; i2 < subnode.outputs.length; ++i2) {
+          var output = subnode.outputs[i2];
+          if (output.not_subgraph_input)
+            continue;
+          if (this.drawButton(canvas_w - w2, y2 + 2, w2 - 20, h2 - 2)) {
+            var type = subnode.constructor.output_node_type || "graph/output";
+            this.graph.beforeChange();
+            var newnode = LiteGraph.createNode(type);
+            if (newnode) {
+              subgraph.add(newnode);
+              this.block_click = false;
+              this.last_click_position = null;
+              this.selectNodes([newnode]);
+              this.node_dragged = newnode;
+              this.dragging_canvas = false;
+              newnode.setProperty("name", output.name);
+              newnode.setProperty("type", output.type);
+              this.node_dragged.pos[0] = this.graph_mouse[0] - 5;
+              this.node_dragged.pos[1] = this.graph_mouse[1] - 5;
+              this.graph.afterChange();
+            } else
+              console.error("graph input node not found:", type);
+          }
+          ctx.fillStyle = "#9C9";
+          ctx.beginPath();
+          ctx.arc(canvas_w - w2 + 16, y2 + h2 * 0.5, 5, 0, 2 * Math.PI);
+          ctx.fill();
+          ctx.fillStyle = "#AAA";
+          ctx.fillText(output.name, canvas_w - w2 + 30, y2 + h2 * 0.75);
+          ctx.fillStyle = "#777";
+          ctx.fillText(output.type, canvas_w - w2 + 130, y2 + h2 * 0.75);
+          y2 += h2;
+        }
+      if (this.drawButton(canvas_w - w2, y2 + 2, w2 - 20, h2 - 2, "+", "#151515", "#222")) {
+        this.showSubgraphPropertiesDialogRight(subnode);
+      }
+    }
+    //Draws a button into the canvas overlay and computes if it was clicked using the immediate gui paradigm
+    drawButton(x2, y2, w2, h2, text, bgcolor, hovercolor, textcolor) {
+      var ctx = this.ctx;
+      bgcolor = bgcolor || LiteGraph.NODE_DEFAULT_COLOR;
+      hovercolor = hovercolor || "#555";
+      textcolor = textcolor || LiteGraph.NODE_TEXT_COLOR;
+      var pos2 = this.ds.convertOffsetToCanvas(this.graph_mouse);
+      var hover = LiteGraph.isInsideRectangle(pos2[0], pos2[1], x2, y2, w2, h2);
+      pos2 = this.last_click_position ? [this.last_click_position[0], this.last_click_position[1]] : null;
+      if (pos2) {
+        var rect = this.canvas.getBoundingClientRect();
+        pos2[0] -= rect.left;
+        pos2[1] -= rect.top;
+      }
+      var clicked = pos2 && LiteGraph.isInsideRectangle(pos2[0], pos2[1], x2, y2, w2, h2);
+      ctx.fillStyle = hover ? hovercolor : bgcolor;
+      if (clicked)
+        ctx.fillStyle = "#AAA";
+      ctx.beginPath();
+      ctx.roundRect(x2, y2, w2, h2, [4]);
+      ctx.fill();
+      if (text != null) {
+        if (text.constructor == String) {
+          ctx.fillStyle = textcolor;
+          ctx.textAlign = "center";
+          ctx.font = (h2 * 0.65 | 0) + "px Arial";
+          ctx.fillText(text, x2 + w2 * 0.5, y2 + h2 * 0.75);
+          ctx.textAlign = "left";
+        }
+      }
+      var was_clicked = clicked && !this.block_click;
+      if (clicked)
+        this.blockClick();
+      return was_clicked;
+    }
+    isAreaClicked(x2, y2, w2, h2, hold_click) {
+      var pos2 = this.mouse;
+      LiteGraph.isInsideRectangle(pos2[0], pos2[1], x2, y2, w2, h2);
+      pos2 = this.last_click_position;
+      var clicked = pos2 && LiteGraph.isInsideRectangle(pos2[0], pos2[1], x2, y2, w2, h2);
+      var was_clicked = clicked && !this.block_click;
+      if (clicked && hold_click)
+        this.blockClick();
+      return was_clicked;
+    }
+    /**
+         * draws some useful stats in the corner of the canvas
+         * @method renderInfo
+         **/
+    renderInfo(ctx, x2, y2) {
+      x2 = x2 || 10;
+      y2 = y2 || this.canvas.offsetHeight - 80;
+      ctx.save();
+      ctx.translate(x2, y2);
+      ctx.font = "10px Arial";
+      ctx.fillStyle = "#888";
+      ctx.textAlign = "left";
+      if (this.graph) {
+        ctx.fillText("T: " + this.graph.globaltime.toFixed(2) + "s", 5, 13 * 1);
+        ctx.fillText("I: " + this.graph.iteration, 5, 13 * 2);
+        ctx.fillText("N: " + this.graph._nodes.length + " [" + this.visible_nodes.length + "]", 5, 13 * 3);
+        ctx.fillText("V: " + this.graph._version, 5, 13 * 4);
+        ctx.fillText("FPS:" + this.fps.toFixed(2), 5, 13 * 5);
+      } else {
+        ctx.fillText("No graph selected", 5, 13 * 1);
+      }
+      ctx.restore();
+    }
+    /**
+         * draws the back canvas (the one containing the background and the connections)
+         * @method drawBackCanvas
+         **/
+    drawBackCanvas() {
+      var canvas = this.bgcanvas;
+      if (canvas.width != this.canvas.width || canvas.height != this.canvas.height) {
+        canvas.width = this.canvas.width;
+        canvas.height = this.canvas.height;
+      }
+      if (!this.bgctx) {
+        this.bgctx = this.bgcanvas.getContext("2d");
+      }
+      var ctx = this.bgctx;
+      if (ctx.start) {
+        ctx.start();
+      }
+      var viewport = this.viewport || [0, 0, ctx.canvas.width, ctx.canvas.height];
+      if (this.clear_background) {
+        ctx.clearRect(viewport[0], viewport[1], viewport[2], viewport[3]);
+      }
+      if (this._graph_stack && this._graph_stack.length) {
+        ctx.save();
+        this._graph_stack[this._graph_stack.length - 1];
+        var subgraph_node = this.graph._subgraph_node;
+        ctx.strokeStyle = subgraph_node.bgcolor;
+        ctx.lineWidth = 10;
+        ctx.strokeRect(1, 1, canvas.width - 2, canvas.height - 2);
+        ctx.lineWidth = 1;
+        ctx.font = "40px Arial";
+        ctx.textAlign = "center";
+        ctx.fillStyle = subgraph_node.bgcolor || "#AAA";
+        var title = "";
+        for (var i2 = 1; i2 < this._graph_stack.length; ++i2) {
+          title += this._graph_stack[i2]._subgraph_node.getTitle() + " >> ";
+        }
+        ctx.fillText(
+          title + subgraph_node.getTitle(),
+          canvas.width * 0.5,
+          40
+        );
+        ctx.restore();
+      }
+      var bg_already_painted = false;
+      if (this.onRenderBackground) {
+        bg_already_painted = this.onRenderBackground(canvas, ctx);
+      }
+      if (!this.viewport) {
+        ctx.restore();
+        ctx.setTransform(1, 0, 0, 1, 0, 0);
+      }
+      this.visible_links.length = 0;
+      if (this.graph) {
+        ctx.save();
+        this.ds.toCanvasContext(ctx);
+        if (this.ds.scale < 1.5 && !bg_already_painted && this.clear_background_color) {
+          ctx.fillStyle = this.clear_background_color;
+          ctx.fillRect(
+            this.visible_area[0],
+            this.visible_area[1],
+            this.visible_area[2],
+            this.visible_area[3]
+          );
+        }
+        if (this.background_image && this.ds.scale > 0.5 && !bg_already_painted) {
+          if (this.zoom_modify_alpha) {
+            ctx.globalAlpha = (1 - 0.5 / this.ds.scale) * this.editor_alpha;
+          } else {
+            ctx.globalAlpha = this.editor_alpha;
+          }
+          ctx.imageSmoothingEnabled = ctx.imageSmoothingEnabled = false;
+          if (!this._bg_img || this._bg_img.name != this.background_image) {
+            this._bg_img = new Image();
+            this._bg_img.name = this.background_image;
+            this._bg_img.src = this.background_image;
+            var that2 = this;
+            this._bg_img.onload = function() {
+              that2.draw(true, true);
+            };
+          }
+          var pattern = null;
+          if (this._pattern == null && this._bg_img.width > 0) {
+            pattern = ctx.createPattern(this._bg_img, "repeat");
+            this._pattern_img = this._bg_img;
+            this._pattern = pattern;
+          } else {
+            pattern = this._pattern;
+          }
+          if (pattern) {
+            ctx.fillStyle = pattern;
+            ctx.fillRect(
+              this.visible_area[0],
+              this.visible_area[1],
+              this.visible_area[2],
+              this.visible_area[3]
+            );
+            ctx.fillStyle = "transparent";
+          }
+          ctx.globalAlpha = 1;
+          ctx.imageSmoothingEnabled = ctx.imageSmoothingEnabled = true;
+        }
+        if (this.graph._groups.length && !this.live_mode) {
+          this.drawGroups(canvas, ctx);
+        }
+        if (this.onDrawBackground) {
+          this.onDrawBackground(ctx, this.visible_area);
+        }
+        if (this.onBackgroundRender) {
+          console.error(
+            "WARNING! onBackgroundRender deprecated, now is named onDrawBackground "
+          );
+          this.onBackgroundRender = null;
+        }
+        if (this.render_canvas_border) {
+          ctx.strokeStyle = "#235";
+          ctx.strokeRect(0, 0, canvas.width, canvas.height);
+        }
+        if (this.render_connections_shadows) {
+          ctx.shadowColor = "#000";
+          ctx.shadowOffsetX = 0;
+          ctx.shadowOffsetY = 0;
+          ctx.shadowBlur = 6;
+        } else {
+          ctx.shadowColor = "rgba(0,0,0,0)";
+        }
+        if (!this.live_mode) {
+          this.drawConnections(ctx);
+        }
+        ctx.shadowColor = "rgba(0,0,0,0)";
+        ctx.restore();
+      }
+      if (ctx.finish) {
+        ctx.finish();
+      }
+      this.dirty_bgcanvas = false;
+      this.dirty_canvas = true;
+    }
+    /**
+         * draws the given node inside the canvas
+         * @method drawNode
+         **/
+    drawNode(node22, ctx) {
+      this.current_node = node22;
+      var color = node22.color || node22.constructor.color || LiteGraph.NODE_DEFAULT_COLOR;
+      var bgcolor = node22.bgcolor || node22.constructor.bgcolor || LiteGraph.NODE_DEFAULT_BGCOLOR;
+      if (node22.mouseOver) ;
+      var low_quality = this.ds.scale < 0.6;
+      if (this.live_mode) {
+        if (!node22.flags.collapsed) {
+          ctx.shadowColor = "transparent";
+          if (node22.onDrawForeground) {
+            node22.onDrawForeground(ctx, this, this.canvas);
+          }
+        }
+        return;
+      }
+      var editor_alpha = this.editor_alpha;
+      ctx.globalAlpha = editor_alpha;
+      if (this.render_shadows && !low_quality) {
+        ctx.shadowColor = LiteGraph.DEFAULT_SHADOW_COLOR;
+        ctx.shadowOffsetX = 2 * this.ds.scale;
+        ctx.shadowOffsetY = 2 * this.ds.scale;
+        ctx.shadowBlur = 3 * this.ds.scale;
+      } else {
+        ctx.shadowColor = "transparent";
+      }
+      if (node22.flags.collapsed && node22.onDrawCollapsed && node22.onDrawCollapsed(ctx, this) == true) {
+        return;
+      }
+      var shape = node22._shape || LiteGraph.BOX_SHAPE;
+      var size2 = __privateGet(__LGraphCanvas, _temp_vec2);
+      __privateGet(__LGraphCanvas, _temp_vec2).set(node22.size);
+      var horizontal3 = node22.horizontal;
+      if (node22.flags.collapsed) {
+        ctx.font = this.inner_text_font;
+        var title = node22.getTitle ? node22.getTitle() : node22.title;
+        if (title != null) {
+          node22._collapsed_width = Math.min(
+            node22.size[0],
+            ctx.measureText(title).width + LiteGraph.NODE_TITLE_HEIGHT * 2
+          );
+          size2[0] = node22._collapsed_width;
+          size2[1] = 0;
+        }
+      }
+      if (node22.clip_area) {
+        ctx.save();
+        ctx.beginPath();
+        if (shape == LiteGraph.BOX_SHAPE) {
+          ctx.rect(0, 0, size2[0], size2[1]);
+        } else if (shape == LiteGraph.ROUND_SHAPE) {
+          ctx.roundRect(0, 0, size2[0], size2[1], [10]);
+        } else if (shape == LiteGraph.CIRCLE_SHAPE) {
+          ctx.arc(
+            size2[0] * 0.5,
+            size2[1] * 0.5,
+            size2[0] * 0.5,
+            0,
+            Math.PI * 2
+          );
+        }
+        ctx.clip();
+      }
+      if (node22.has_errors) {
+        bgcolor = "red";
+      }
+      this.drawNodeShape(
+        node22,
+        ctx,
+        size2,
+        color,
+        bgcolor,
+        node22.is_selected,
+        node22.mouseOver
+      );
+      ctx.shadowColor = "transparent";
+      if (node22.onDrawForeground) {
+        node22.onDrawForeground(ctx, this, this.canvas);
+      }
+      ctx.textAlign = horizontal3 ? "center" : "left";
+      ctx.font = this.inner_text_font;
+      var render_text = !low_quality;
+      var out_slot = this.connecting_links ? this.connecting_links[0].output : null;
+      var in_slot = this.connecting_links ? this.connecting_links[0].input : null;
+      ctx.lineWidth = 1;
+      var max_y = 0;
+      var slot_pos = new Float32Array(2);
+      if (!node22.flags.collapsed) {
+        if (node22.inputs) {
+          for (var i2 = 0; i2 < node22.inputs.length; i2++) {
+            var slot = node22.inputs[i2];
+            var slot_type = slot.type;
+            var slot_shape = slot.shape;
+            ctx.globalAlpha = editor_alpha;
+            if (out_slot && !LiteGraph.isValidConnection(slot.type, out_slot.type)) {
+              ctx.globalAlpha = 0.4 * editor_alpha;
+            }
+            ctx.fillStyle = slot.link != null ? slot.color_on || this.default_connection_color_byType[slot_type] || this.default_connection_color.input_on : slot.color_off || this.default_connection_color_byTypeOff[slot_type] || this.default_connection_color_byType[slot_type] || this.default_connection_color.input_off;
+            var pos2 = node22.getConnectionPos(true, i2, slot_pos);
+            pos2[0] -= node22.pos[0];
+            pos2[1] -= node22.pos[1];
+            if (max_y < pos2[1] + LiteGraph.NODE_SLOT_HEIGHT * 0.5) {
+              max_y = pos2[1] + LiteGraph.NODE_SLOT_HEIGHT * 0.5;
+            }
+            ctx.beginPath();
+            if (slot_type == "array") {
+              slot_shape = LiteGraph.GRID_SHAPE;
+            }
+            var doStroke = true;
+            if (slot.type === LiteGraph.EVENT || slot.shape === LiteGraph.BOX_SHAPE) {
+              if (horizontal3) {
+                ctx.rect(
+                  pos2[0] - 5 + 0.5,
+                  pos2[1] - 8 + 0.5,
+                  10,
+                  14
+                );
+              } else {
+                ctx.rect(
+                  pos2[0] - 6 + 0.5,
+                  pos2[1] - 5 + 0.5,
+                  14,
+                  10
+                );
+              }
+            } else if (slot_shape === LiteGraph.ARROW_SHAPE) {
+              ctx.moveTo(pos2[0] + 8, pos2[1] + 0.5);
+              ctx.lineTo(pos2[0] - 4, pos2[1] + 6 + 0.5);
+              ctx.lineTo(pos2[0] - 4, pos2[1] - 6 + 0.5);
+              ctx.closePath();
+            } else if (slot_shape === LiteGraph.GRID_SHAPE) {
+              ctx.rect(pos2[0] - 4, pos2[1] - 4, 2, 2);
+              ctx.rect(pos2[0] - 1, pos2[1] - 4, 2, 2);
+              ctx.rect(pos2[0] + 2, pos2[1] - 4, 2, 2);
+              ctx.rect(pos2[0] - 4, pos2[1] - 1, 2, 2);
+              ctx.rect(pos2[0] - 1, pos2[1] - 1, 2, 2);
+              ctx.rect(pos2[0] + 2, pos2[1] - 1, 2, 2);
+              ctx.rect(pos2[0] - 4, pos2[1] + 2, 2, 2);
+              ctx.rect(pos2[0] - 1, pos2[1] + 2, 2, 2);
+              ctx.rect(pos2[0] + 2, pos2[1] + 2, 2, 2);
+              doStroke = false;
+            } else {
+              if (low_quality)
+                ctx.rect(pos2[0] - 4, pos2[1] - 4, 8, 8);
+              else
+                ctx.arc(pos2[0], pos2[1], 4, 0, Math.PI * 2);
+            }
+            ctx.fill();
+            if (render_text) {
+              var text = slot.label != null ? slot.label : slot.name;
+              if (text) {
+                ctx.fillStyle = LiteGraph.NODE_TEXT_COLOR;
+                if (horizontal3 || slot.dir == LiteGraph.UP) {
+                  ctx.fillText(text, pos2[0], pos2[1] - 10);
+                } else {
+                  ctx.fillText(text, pos2[0] + 10, pos2[1] + 5);
+                }
+              }
+            }
+          }
+        }
+        ctx.textAlign = horizontal3 ? "center" : "right";
+        ctx.strokeStyle = "black";
+        if (node22.outputs) {
+          for (var i2 = 0; i2 < node22.outputs.length; i2++) {
+            var slot = node22.outputs[i2];
+            var slot_type = slot.type;
+            var slot_shape = slot.shape;
+            if (in_slot && !LiteGraph.isValidConnection(slot_type, in_slot.type)) {
+              ctx.globalAlpha = 0.4 * editor_alpha;
+            }
+            var pos2 = node22.getConnectionPos(false, i2, slot_pos);
+            pos2[0] -= node22.pos[0];
+            pos2[1] -= node22.pos[1];
+            if (max_y < pos2[1] + LiteGraph.NODE_SLOT_HEIGHT * 0.5) {
+              max_y = pos2[1] + LiteGraph.NODE_SLOT_HEIGHT * 0.5;
+            }
+            ctx.fillStyle = slot.links && slot.links.length ? slot.color_on || this.default_connection_color_byType[slot_type] || this.default_connection_color.output_on : slot.color_off || this.default_connection_color_byTypeOff[slot_type] || this.default_connection_color_byType[slot_type] || this.default_connection_color.output_off;
+            ctx.beginPath();
+            if (slot_type == "array") {
+              slot_shape = LiteGraph.GRID_SHAPE;
+            }
+            var doStroke = true;
+            if (slot_type === LiteGraph.EVENT || slot_shape === LiteGraph.BOX_SHAPE) {
+              if (horizontal3) {
+                ctx.rect(
+                  pos2[0] - 5 + 0.5,
+                  pos2[1] - 8 + 0.5,
+                  10,
+                  14
+                );
+              } else {
+                ctx.rect(
+                  pos2[0] - 6 + 0.5,
+                  pos2[1] - 5 + 0.5,
+                  14,
+                  10
+                );
+              }
+            } else if (slot_shape === LiteGraph.ARROW_SHAPE) {
+              ctx.moveTo(pos2[0] + 8, pos2[1] + 0.5);
+              ctx.lineTo(pos2[0] - 4, pos2[1] + 6 + 0.5);
+              ctx.lineTo(pos2[0] - 4, pos2[1] - 6 + 0.5);
+              ctx.closePath();
+            } else if (slot_shape === LiteGraph.GRID_SHAPE) {
+              ctx.rect(pos2[0] - 4, pos2[1] - 4, 2, 2);
+              ctx.rect(pos2[0] - 1, pos2[1] - 4, 2, 2);
+              ctx.rect(pos2[0] + 2, pos2[1] - 4, 2, 2);
+              ctx.rect(pos2[0] - 4, pos2[1] - 1, 2, 2);
+              ctx.rect(pos2[0] - 1, pos2[1] - 1, 2, 2);
+              ctx.rect(pos2[0] + 2, pos2[1] - 1, 2, 2);
+              ctx.rect(pos2[0] - 4, pos2[1] + 2, 2, 2);
+              ctx.rect(pos2[0] - 1, pos2[1] + 2, 2, 2);
+              ctx.rect(pos2[0] + 2, pos2[1] + 2, 2, 2);
+              doStroke = false;
+            } else {
+              if (low_quality)
+                ctx.rect(pos2[0] - 4, pos2[1] - 4, 8, 8);
+              else
+                ctx.arc(pos2[0], pos2[1], 4, 0, Math.PI * 2);
+            }
+            ctx.fill();
+            if (!low_quality && doStroke)
+              ctx.stroke();
+            if (render_text) {
+              var text = slot.label != null ? slot.label : slot.name;
+              if (text) {
+                ctx.fillStyle = LiteGraph.NODE_TEXT_COLOR;
+                if (horizontal3 || slot.dir == LiteGraph.DOWN) {
+                  ctx.fillText(text, pos2[0], pos2[1] - 8);
+                } else {
+                  ctx.fillText(text, pos2[0] - 10, pos2[1] + 5);
+                }
+              }
+            }
+          }
+        }
+        ctx.textAlign = "left";
+        ctx.globalAlpha = 1;
+        if (node22.widgets) {
+          var widgets_y = max_y;
+          if (horizontal3 || node22.widgets_up) {
+            widgets_y = 2;
+          }
+          if (node22.widgets_start_y != null)
+            widgets_y = node22.widgets_start_y;
+          this.drawNodeWidgets(
+            node22,
+            widgets_y,
+            ctx,
+            this.node_widget && this.node_widget[0] == node22 ? this.node_widget[1] : null
+          );
+        }
+      } else if (this.render_collapsed_slots) {
+        var input_slot = null;
+        var output_slot = null;
+        if (node22.inputs) {
+          for (var i2 = 0; i2 < node22.inputs.length; i2++) {
+            var slot = node22.inputs[i2];
+            if (slot.link == null) {
+              continue;
+            }
+            input_slot = slot;
+            break;
+          }
+        }
+        if (node22.outputs) {
+          for (var i2 = 0; i2 < node22.outputs.length; i2++) {
+            var slot = node22.outputs[i2];
+            if (!slot.links || !slot.links.length) {
+              continue;
+            }
+            output_slot = slot;
+          }
+        }
+        if (input_slot) {
+          var x2 = 0;
+          var y2 = LiteGraph.NODE_TITLE_HEIGHT * -0.5;
+          if (horizontal3) {
+            x2 = node22._collapsed_width * 0.5;
+            y2 = -LiteGraph.NODE_TITLE_HEIGHT;
+          }
+          ctx.fillStyle = "#686";
+          ctx.beginPath();
+          if (slot.type === LiteGraph.EVENT || slot.shape === LiteGraph.BOX_SHAPE) {
+            ctx.rect(x2 - 7 + 0.5, y2 - 4, 14, 8);
+          } else if (slot.shape === LiteGraph.ARROW_SHAPE) {
+            ctx.moveTo(x2 + 8, y2);
+            ctx.lineTo(x2 + -4, y2 - 4);
+            ctx.lineTo(x2 + -4, y2 + 4);
+            ctx.closePath();
+          } else {
+            ctx.arc(x2, y2, 4, 0, Math.PI * 2);
+          }
+          ctx.fill();
+        }
+        if (output_slot) {
+          var x2 = node22._collapsed_width;
+          var y2 = LiteGraph.NODE_TITLE_HEIGHT * -0.5;
+          if (horizontal3) {
+            x2 = node22._collapsed_width * 0.5;
+            y2 = 0;
+          }
+          ctx.fillStyle = "#686";
+          ctx.strokeStyle = "black";
+          ctx.beginPath();
+          if (slot.type === LiteGraph.EVENT || slot.shape === LiteGraph.BOX_SHAPE) {
+            ctx.rect(x2 - 7 + 0.5, y2 - 4, 14, 8);
+          } else if (slot.shape === LiteGraph.ARROW_SHAPE) {
+            ctx.moveTo(x2 + 6, y2);
+            ctx.lineTo(x2 - 6, y2 - 4);
+            ctx.lineTo(x2 - 6, y2 + 4);
+            ctx.closePath();
+          } else {
+            ctx.arc(x2, y2, 4, 0, Math.PI * 2);
+          }
+          ctx.fill();
+        }
+      }
+      if (node22.clip_area) {
+        ctx.restore();
+      }
+      ctx.globalAlpha = 1;
+    }
+    //used by this.over_link_center
+    drawLinkTooltip(ctx, link) {
+      var pos2 = link._pos;
+      ctx.fillStyle = "black";
+      ctx.beginPath();
+      ctx.arc(pos2[0], pos2[1], 3, 0, Math.PI * 2);
+      ctx.fill();
+      if (link.data == null)
+        return;
+      if (this.onDrawLinkTooltip) {
+        if (this.onDrawLinkTooltip(ctx, link, this) == true)
+          return;
+      }
+      var data24 = link.data;
+      var text = null;
+      if (data24.constructor === Number)
+        text = data24.toFixed(2);
+      else if (data24.constructor === String)
+        text = '"' + data24 + '"';
+      else if (data24.constructor === Boolean)
+        text = String(data24);
+      else if (data24.toToolTip)
+        text = data24.toToolTip();
+      else
+        text = "[" + data24.constructor.name + "]";
+      if (text == null)
+        return;
+      text = text.substr(0, 30);
+      ctx.font = "14px Courier New";
+      var info = ctx.measureText(text);
+      var w2 = info.width + 20;
+      var h2 = 24;
+      ctx.shadowColor = "black";
+      ctx.shadowOffsetX = 2;
+      ctx.shadowOffsetY = 2;
+      ctx.shadowBlur = 3;
+      ctx.fillStyle = "#454";
+      ctx.beginPath();
+      ctx.roundRect(pos2[0] - w2 * 0.5, pos2[1] - 15 - h2, w2, h2, [3]);
+      ctx.moveTo(pos2[0] - 10, pos2[1] - 15);
+      ctx.lineTo(pos2[0] + 10, pos2[1] - 15);
+      ctx.lineTo(pos2[0], pos2[1] - 5);
+      ctx.fill();
+      ctx.shadowColor = "transparent";
+      ctx.textAlign = "center";
+      ctx.fillStyle = "#CEC";
+      ctx.fillText(text, pos2[0], pos2[1] - 15 - h2 * 0.3);
+    }
+    /**
+     * draws the shape of the given node in the canvas
+     * @method drawNodeShape
+     **/
+    drawNodeShape(node22, ctx, size2, fgcolor, bgcolor, selected2, mouse_over) {
+      ctx.strokeStyle = fgcolor;
+      ctx.fillStyle = bgcolor;
+      var title_height = LiteGraph.NODE_TITLE_HEIGHT;
+      var low_quality = this.ds.scale < 0.5;
+      var shape = node22._shape || node22.constructor.shape || LiteGraph.ROUND_SHAPE;
+      var title_mode = node22.constructor.title_mode;
+      var render_title = true;
+      if (title_mode == LiteGraph.TRANSPARENT_TITLE || title_mode == LiteGraph.NO_TITLE) {
+        render_title = false;
+      } else if (title_mode == LiteGraph.AUTOHIDE_TITLE && mouse_over) {
+        render_title = true;
+      }
+      var area = __privateGet(__LGraphCanvas, _tmp_area);
+      area[0] = 0;
+      area[1] = render_title ? -title_height : 0;
+      area[2] = size2[0] + 1;
+      area[3] = render_title ? size2[1] + title_height : size2[1];
+      var old_alpha = ctx.globalAlpha;
+      {
+        ctx.beginPath();
+        if (shape == LiteGraph.BOX_SHAPE || low_quality) {
+          ctx.fillRect(area[0], area[1], area[2], area[3]);
+        } else if (shape == LiteGraph.ROUND_SHAPE || shape == LiteGraph.CARD_SHAPE) {
+          ctx.roundRect(
+            area[0],
+            area[1],
+            area[2],
+            area[3],
+            shape == LiteGraph.CARD_SHAPE ? [this.round_radius, this.round_radius, 0, 0] : [this.round_radius]
+          );
+        } else if (shape == LiteGraph.CIRCLE_SHAPE) {
+          ctx.arc(
+            size2[0] * 0.5,
+            size2[1] * 0.5,
+            size2[0] * 0.5,
+            0,
+            Math.PI * 2
+          );
+        }
+        ctx.fill();
+        if (!node22.flags.collapsed && render_title) {
+          ctx.shadowColor = "transparent";
+          ctx.fillStyle = "rgba(0,0,0,0.2)";
+          ctx.fillRect(0, -1, area[2], 2);
+        }
+      }
+      ctx.shadowColor = "transparent";
+      if (node22.onDrawBackground) {
+        node22.onDrawBackground(ctx, this, this.canvas, this.graph_mouse);
+      }
+      if (render_title || title_mode == LiteGraph.TRANSPARENT_TITLE) {
+        if (node22.onDrawTitleBar) {
+          node22.onDrawTitleBar(ctx, title_height, size2, this.ds.scale, fgcolor);
+        } else if (title_mode != LiteGraph.TRANSPARENT_TITLE && (node22.constructor.title_color || this.render_title_colored)) {
+          var title_color = node22.constructor.title_color || fgcolor;
+          if (node22.flags.collapsed) {
+            ctx.shadowColor = LiteGraph.DEFAULT_SHADOW_COLOR;
+          }
+          if (this.use_gradients) {
+            var grad = __LGraphCanvas.gradients[title_color];
+            if (!grad) {
+              grad = __LGraphCanvas.gradients[title_color] = ctx.createLinearGradient(0, 0, 400, 0);
+              grad.addColorStop(0, title_color);
+              grad.addColorStop(1, "#000");
+            }
+            ctx.fillStyle = grad;
+          } else {
+            ctx.fillStyle = title_color;
+          }
+          ctx.beginPath();
+          if (shape == LiteGraph.BOX_SHAPE || low_quality) {
+            ctx.rect(0, -title_height, size2[0] + 1, title_height);
+          } else if (shape == LiteGraph.ROUND_SHAPE || shape == LiteGraph.CARD_SHAPE) {
+            ctx.roundRect(
+              0,
+              -title_height,
+              size2[0] + 1,
+              title_height,
+              node22.flags.collapsed ? [this.round_radius] : [this.round_radius, this.round_radius, 0, 0]
+            );
+          }
+          ctx.fill();
+          ctx.shadowColor = "transparent";
+        }
+        var colState = false;
+        if (LiteGraph.node_box_coloured_by_mode) {
+          if (LiteGraph.NODE_MODES_COLORS[node22.mode]) {
+            colState = LiteGraph.NODE_MODES_COLORS[node22.mode];
+          }
+        }
+        if (LiteGraph.node_box_coloured_when_on) {
+          colState = node22.action_triggered ? "#FFF" : node22.execute_triggered ? "#AAA" : colState;
+        }
+        var box_size = 10;
+        if (node22.onDrawTitleBox) {
+          node22.onDrawTitleBox(ctx, title_height, size2, this.ds.scale);
+        } else if (shape == LiteGraph.ROUND_SHAPE || shape == LiteGraph.CIRCLE_SHAPE || shape == LiteGraph.CARD_SHAPE) {
+          if (low_quality) {
+            ctx.fillStyle = "black";
+            ctx.beginPath();
+            ctx.arc(
+              title_height * 0.5,
+              title_height * -0.5,
+              box_size * 0.5 + 1,
+              0,
+              Math.PI * 2
+            );
+            ctx.fill();
+          }
+          ctx.fillStyle = node22.boxcolor || colState || LiteGraph.NODE_DEFAULT_BOXCOLOR;
+          if (low_quality)
+            ctx.fillRect(title_height * 0.5 - box_size * 0.5, title_height * -0.5 - box_size * 0.5, box_size, box_size);
+          else {
+            ctx.beginPath();
+            ctx.arc(
+              title_height * 0.5,
+              title_height * -0.5,
+              box_size * 0.5,
+              0,
+              Math.PI * 2
+            );
+            ctx.fill();
+          }
+        } else {
+          if (low_quality) {
+            ctx.fillStyle = "black";
+            ctx.fillRect(
+              (title_height - box_size) * 0.5 - 1,
+              (title_height + box_size) * -0.5 - 1,
+              box_size + 2,
+              box_size + 2
+            );
+          }
+          ctx.fillStyle = node22.boxcolor || colState || LiteGraph.NODE_DEFAULT_BOXCOLOR;
+          ctx.fillRect(
+            (title_height - box_size) * 0.5,
+            (title_height + box_size) * -0.5,
+            box_size,
+            box_size
+          );
+        }
+        ctx.globalAlpha = old_alpha;
+        if (node22.onDrawTitleText) {
+          node22.onDrawTitleText(
+            ctx,
+            title_height,
+            size2,
+            this.ds.scale,
+            this.title_text_font,
+            selected2
+          );
+        }
+        if (!low_quality) {
+          ctx.font = this.title_text_font;
+          var title = String(node22.getTitle());
+          if (title) {
+            if (selected2) {
+              ctx.fillStyle = LiteGraph.NODE_SELECTED_TITLE_COLOR;
+            } else {
+              ctx.fillStyle = node22.constructor.title_text_color || this.node_title_color;
+            }
+            if (node22.flags.collapsed) {
+              ctx.textAlign = "left";
+              ctx.measureText(title);
+              ctx.fillText(
+                title.substr(0, 20),
+                //avoid urls too long
+                title_height,
+                // + measure.width * 0.5,
+                LiteGraph.NODE_TITLE_TEXT_Y - title_height
+              );
+              ctx.textAlign = "left";
+            } else {
+              ctx.textAlign = "left";
+              ctx.fillText(
+                title,
+                title_height,
+                LiteGraph.NODE_TITLE_TEXT_Y - title_height
+              );
+            }
+          }
+        }
+        if (!node22.flags.collapsed && node22.subgraph && !node22.skip_subgraph_button) {
+          var w2 = LiteGraph.NODE_TITLE_HEIGHT;
+          var x2 = node22.size[0] - w2;
+          var over = LiteGraph.isInsideRectangle(this.graph_mouse[0] - node22.pos[0], this.graph_mouse[1] - node22.pos[1], x2 + 2, -w2 + 2, w2 - 4, w2 - 4);
+          ctx.fillStyle = over ? "#888" : "#555";
+          if (shape == LiteGraph.BOX_SHAPE || low_quality)
+            ctx.fillRect(x2 + 2, -w2 + 2, w2 - 4, w2 - 4);
+          else {
+            ctx.beginPath();
+            ctx.roundRect(x2 + 2, -w2 + 2, w2 - 4, w2 - 4, [4]);
+            ctx.fill();
+          }
+          ctx.fillStyle = "#333";
+          ctx.beginPath();
+          ctx.moveTo(x2 + w2 * 0.2, -w2 * 0.6);
+          ctx.lineTo(x2 + w2 * 0.8, -w2 * 0.6);
+          ctx.lineTo(x2 + w2 * 0.5, -w2 * 0.3);
+          ctx.fill();
+        }
+        if (node22.onDrawTitle) {
+          node22.onDrawTitle(ctx);
+        }
+      }
+      if (selected2) {
+        if (node22.onBounding) {
+          node22.onBounding(area);
+        }
+        if (title_mode == LiteGraph.TRANSPARENT_TITLE) {
+          area[1] -= title_height;
+          area[3] += title_height;
+        }
+        ctx.lineWidth = 1;
+        ctx.globalAlpha = 0.8;
+        ctx.beginPath();
+        if (shape == LiteGraph.BOX_SHAPE) {
+          ctx.rect(
+            -6 + area[0],
+            -6 + area[1],
+            12 + area[2],
+            12 + area[3]
+          );
+        } else if (shape == LiteGraph.ROUND_SHAPE || shape == LiteGraph.CARD_SHAPE && node22.flags.collapsed) {
+          ctx.roundRect(
+            -6 + area[0],
+            -6 + area[1],
+            12 + area[2],
+            12 + area[3],
+            [this.round_radius * 2]
+          );
+        } else if (shape == LiteGraph.CARD_SHAPE) {
+          ctx.roundRect(
+            -6 + area[0],
+            -6 + area[1],
+            12 + area[2],
+            12 + area[3],
+            [this.round_radius * 2, 2, this.round_radius * 2, 2]
+          );
+        } else if (shape == LiteGraph.CIRCLE_SHAPE) {
+          ctx.arc(
+            size2[0] * 0.5,
+            size2[1] * 0.5,
+            size2[0] * 0.5 + 6,
+            0,
+            Math.PI * 2
+          );
+        }
+        ctx.strokeStyle = LiteGraph.NODE_BOX_OUTLINE_COLOR;
+        ctx.stroke();
+        ctx.strokeStyle = fgcolor;
+        ctx.globalAlpha = 1;
+      }
+      if (node22.execute_triggered > 0) node22.execute_triggered--;
+      if (node22.action_triggered > 0) node22.action_triggered--;
+    }
+    drawConnections(ctx) {
+      var now2 = LiteGraph.getTime();
+      var visible_area = this.visible_area;
+      __privateGet(__LGraphCanvas, _margin_area)[0] = visible_area[0] - 20;
+      __privateGet(__LGraphCanvas, _margin_area)[1] = visible_area[1] - 20;
+      __privateGet(__LGraphCanvas, _margin_area)[2] = visible_area[2] + 40;
+      __privateGet(__LGraphCanvas, _margin_area)[3] = visible_area[3] + 40;
+      ctx.lineWidth = this.connections_width;
+      ctx.fillStyle = "#AAA";
+      ctx.strokeStyle = "#AAA";
+      ctx.globalAlpha = this.editor_alpha;
+      var nodes = this.graph._nodes;
+      for (var n = 0, l = nodes.length; n < l; ++n) {
+        var node22 = nodes[n];
+        if (!node22.inputs || !node22.inputs.length) {
+          continue;
+        }
+        for (var i2 = 0; i2 < node22.inputs.length; ++i2) {
+          var input = node22.inputs[i2];
+          if (!input || input.link == null) {
+            continue;
+          }
+          var link_id = input.link;
+          var link = this.graph.links[link_id];
+          if (!link) {
+            continue;
+          }
+          var start_node = this.graph.getNodeById(link.origin_id);
+          if (start_node == null) {
+            continue;
+          }
+          var start_node_slot = link.origin_slot;
+          var start_node_slotpos = null;
+          if (start_node_slot == -1) {
+            start_node_slotpos = [
+              start_node.pos[0] + 10,
+              start_node.pos[1] + 10
+            ];
+          } else {
+            start_node_slotpos = start_node.getConnectionPos(
+              false,
+              start_node_slot,
+              __privateGet(__LGraphCanvas, _tempA)
+            );
+          }
+          var end_node_slotpos = node22.getConnectionPos(true, i2, __privateGet(__LGraphCanvas, _tempB));
+          __privateGet(__LGraphCanvas, _link_bounding)[0] = start_node_slotpos[0];
+          __privateGet(__LGraphCanvas, _link_bounding)[1] = start_node_slotpos[1];
+          __privateGet(__LGraphCanvas, _link_bounding)[2] = end_node_slotpos[0] - start_node_slotpos[0];
+          __privateGet(__LGraphCanvas, _link_bounding)[3] = end_node_slotpos[1] - start_node_slotpos[1];
+          if (__privateGet(__LGraphCanvas, _link_bounding)[2] < 0) {
+            __privateGet(__LGraphCanvas, _link_bounding)[0] += __privateGet(__LGraphCanvas, _link_bounding)[2];
+            __privateGet(__LGraphCanvas, _link_bounding)[2] = Math.abs(__privateGet(__LGraphCanvas, _link_bounding)[2]);
+          }
+          if (__privateGet(__LGraphCanvas, _link_bounding)[3] < 0) {
+            __privateGet(__LGraphCanvas, _link_bounding)[1] += __privateGet(__LGraphCanvas, _link_bounding)[3];
+            __privateGet(__LGraphCanvas, _link_bounding)[3] = Math.abs(__privateGet(__LGraphCanvas, _link_bounding)[3]);
+          }
+          if (!overlapBounding(__privateGet(__LGraphCanvas, _link_bounding), __privateGet(__LGraphCanvas, _margin_area))) {
+            continue;
+          }
+          var start_slot = start_node.outputs[start_node_slot];
+          var end_slot = node22.inputs[i2];
+          if (!start_slot || !end_slot) {
+            continue;
+          }
+          var start_dir = start_slot.dir || (start_node.horizontal ? LiteGraph.DOWN : LiteGraph.RIGHT);
+          var end_dir = end_slot.dir || (node22.horizontal ? LiteGraph.UP : LiteGraph.LEFT);
+          this.renderLink(
+            ctx,
+            start_node_slotpos,
+            end_node_slotpos,
+            link,
+            false,
+            0,
+            null,
+            start_dir,
+            end_dir
+          );
+          if (link && link._last_time && now2 - link._last_time < 1e3) {
+            var f = 2 - (now2 - link._last_time) * 2e-3;
+            var tmp = ctx.globalAlpha;
+            ctx.globalAlpha = tmp * f;
+            this.renderLink(
+              ctx,
+              start_node_slotpos,
+              end_node_slotpos,
+              link,
+              true,
+              f,
+              "white",
+              start_dir,
+              end_dir
+            );
+            ctx.globalAlpha = tmp;
+          }
+        }
+      }
+      ctx.globalAlpha = 1;
+    }
+    /**
+         * draws a link between two points
+         * @method renderLink
+         * @param {vec2} a start pos
+         * @param {vec2} b end pos
+         * @param {Object} link the link object with all the link info
+         * @param {boolean} skip_border ignore the shadow of the link
+         * @param {boolean} flow show flow animation (for events)
+         * @param {string} color the color for the link
+         * @param {number} start_dir the direction enum
+         * @param {number} end_dir the direction enum
+         * @param {number} num_sublines number of sublines (useful to represent vec3 or rgb)
+         **/
+    renderLink(ctx, a, b, link, skip_border, flow, color, start_dir, end_dir, num_sublines) {
+      if (link) {
+        this.visible_links.push(link);
+      }
+      if (!color && link) {
+        color = link.color || __LGraphCanvas.link_type_colors[link.type];
+      }
+      if (!color) {
+        color = this.default_link_color;
+      }
+      if (link != null && this.highlighted_links[link.id]) {
+        color = "#FFF";
+      }
+      start_dir = start_dir || LiteGraph.RIGHT;
+      end_dir = end_dir || LiteGraph.LEFT;
+      var dist2 = distance(a, b);
+      if (this.render_connections_border && this.ds.scale > 0.6) {
+        ctx.lineWidth = this.connections_width + 4;
+      }
+      ctx.lineJoin = "round";
+      num_sublines = num_sublines || 1;
+      if (num_sublines > 1) {
+        ctx.lineWidth = 0.5;
+      }
+      ctx.beginPath();
+      for (var i2 = 0; i2 < num_sublines; i2 += 1) {
+        var offsety = (i2 - (num_sublines - 1) * 0.5) * 5;
+        if (this.links_render_mode == LiteGraph.SPLINE_LINK) {
+          ctx.moveTo(a[0], a[1] + offsety);
+          var start_offset_x = 0;
+          var start_offset_y = 0;
+          var end_offset_x = 0;
+          var end_offset_y = 0;
+          switch (start_dir) {
+            case LiteGraph.LEFT:
+              start_offset_x = dist2 * -0.25;
+              break;
+            case LiteGraph.RIGHT:
+              start_offset_x = dist2 * 0.25;
+              break;
+            case LiteGraph.UP:
+              start_offset_y = dist2 * -0.25;
+              break;
+            case LiteGraph.DOWN:
+              start_offset_y = dist2 * 0.25;
+              break;
+          }
+          switch (end_dir) {
+            case LiteGraph.LEFT:
+              end_offset_x = dist2 * -0.25;
+              break;
+            case LiteGraph.RIGHT:
+              end_offset_x = dist2 * 0.25;
+              break;
+            case LiteGraph.UP:
+              end_offset_y = dist2 * -0.25;
+              break;
+            case LiteGraph.DOWN:
+              end_offset_y = dist2 * 0.25;
+              break;
+          }
+          ctx.bezierCurveTo(
+            a[0] + start_offset_x,
+            a[1] + start_offset_y + offsety,
+            b[0] + end_offset_x,
+            b[1] + end_offset_y + offsety,
+            b[0],
+            b[1] + offsety
+          );
+        } else if (this.links_render_mode == LiteGraph.LINEAR_LINK) {
+          ctx.moveTo(a[0], a[1] + offsety);
+          var start_offset_x = 0;
+          var start_offset_y = 0;
+          var end_offset_x = 0;
+          var end_offset_y = 0;
+          switch (start_dir) {
+            case LiteGraph.LEFT:
+              start_offset_x = -1;
+              break;
+            case LiteGraph.RIGHT:
+              start_offset_x = 1;
+              break;
+            case LiteGraph.UP:
+              start_offset_y = -1;
+              break;
+            case LiteGraph.DOWN:
+              start_offset_y = 1;
+              break;
+          }
+          switch (end_dir) {
+            case LiteGraph.LEFT:
+              end_offset_x = -1;
+              break;
+            case LiteGraph.RIGHT:
+              end_offset_x = 1;
+              break;
+            case LiteGraph.UP:
+              end_offset_y = -1;
+              break;
+            case LiteGraph.DOWN:
+              end_offset_y = 1;
+              break;
+          }
+          var l = 15;
+          ctx.lineTo(
+            a[0] + start_offset_x * l,
+            a[1] + start_offset_y * l + offsety
+          );
+          ctx.lineTo(
+            b[0] + end_offset_x * l,
+            b[1] + end_offset_y * l + offsety
+          );
+          ctx.lineTo(b[0], b[1] + offsety);
+        } else if (this.links_render_mode == LiteGraph.STRAIGHT_LINK) {
+          ctx.moveTo(a[0], a[1]);
+          var start_x = a[0];
+          var start_y = a[1];
+          var end_x = b[0];
+          var end_y = b[1];
+          if (start_dir == LiteGraph.RIGHT) {
+            start_x += 10;
+          } else {
+            start_y += 10;
+          }
+          if (end_dir == LiteGraph.LEFT) {
+            end_x -= 10;
+          } else {
+            end_y -= 10;
+          }
+          ctx.lineTo(start_x, start_y);
+          ctx.lineTo((start_x + end_x) * 0.5, start_y);
+          ctx.lineTo((start_x + end_x) * 0.5, end_y);
+          ctx.lineTo(end_x, end_y);
+          ctx.lineTo(b[0], b[1]);
+        } else {
+          return;
+        }
+      }
+      if (this.render_connections_border && this.ds.scale > 0.6 && !skip_border) {
+        ctx.strokeStyle = "rgba(0,0,0,0.5)";
+        ctx.stroke();
+      }
+      ctx.lineWidth = this.connections_width;
+      ctx.fillStyle = ctx.strokeStyle = color;
+      ctx.stroke();
+      var pos2 = this.computeConnectionPoint(a, b, 0.5, start_dir, end_dir);
+      if (link && link._pos) {
+        link._pos[0] = pos2[0];
+        link._pos[1] = pos2[1];
+      }
+      if (this.ds.scale >= 0.6 && this.highquality_render && end_dir != LiteGraph.CENTER) {
+        if (this.render_connection_arrows) {
+          var posA = this.computeConnectionPoint(
+            a,
+            b,
+            0.25,
+            start_dir,
+            end_dir
+          );
+          var posB = this.computeConnectionPoint(
+            a,
+            b,
+            0.26,
+            start_dir,
+            end_dir
+          );
+          var posC = this.computeConnectionPoint(
+            a,
+            b,
+            0.75,
+            start_dir,
+            end_dir
+          );
+          var posD = this.computeConnectionPoint(
+            a,
+            b,
+            0.76,
+            start_dir,
+            end_dir
+          );
+          var angleA = 0;
+          var angleB = 0;
+          if (this.render_curved_connections) {
+            angleA = -Math.atan2(posB[0] - posA[0], posB[1] - posA[1]);
+            angleB = -Math.atan2(posD[0] - posC[0], posD[1] - posC[1]);
+          } else {
+            angleB = angleA = b[1] > a[1] ? 0 : Math.PI;
+          }
+          ctx.save();
+          ctx.translate(posA[0], posA[1]);
+          ctx.rotate(angleA);
+          ctx.beginPath();
+          ctx.moveTo(-5, -3);
+          ctx.lineTo(0, 7);
+          ctx.lineTo(5, -3);
+          ctx.fill();
+          ctx.restore();
+          ctx.save();
+          ctx.translate(posC[0], posC[1]);
+          ctx.rotate(angleB);
+          ctx.beginPath();
+          ctx.moveTo(-5, -3);
+          ctx.lineTo(0, 7);
+          ctx.lineTo(5, -3);
+          ctx.fill();
+          ctx.restore();
+        }
+        ctx.beginPath();
+        ctx.arc(pos2[0], pos2[1], 5, 0, Math.PI * 2);
+        ctx.fill();
+      }
+      if (flow) {
+        ctx.fillStyle = color;
+        for (var i2 = 0; i2 < 5; ++i2) {
+          var f = (LiteGraph.getTime() * 1e-3 + i2 * 0.2) % 1;
+          var pos2 = this.computeConnectionPoint(
+            a,
+            b,
+            f,
+            start_dir,
+            end_dir
+          );
+          ctx.beginPath();
+          ctx.arc(pos2[0], pos2[1], 5, 0, 2 * Math.PI);
+          ctx.fill();
+        }
+      }
+    }
+    //returns the link center point based on curvature
+    computeConnectionPoint(a, b, t, start_dir, end_dir) {
+      start_dir = start_dir || LiteGraph.RIGHT;
+      end_dir = end_dir || LiteGraph.LEFT;
+      var dist2 = distance(a, b);
+      var p0 = a;
+      var p1 = [a[0], a[1]];
+      var p2 = [b[0], b[1]];
+      var p3 = b;
+      switch (start_dir) {
+        case LiteGraph.LEFT:
+          p1[0] += dist2 * -0.25;
+          break;
+        case LiteGraph.RIGHT:
+          p1[0] += dist2 * 0.25;
+          break;
+        case LiteGraph.UP:
+          p1[1] += dist2 * -0.25;
+          break;
+        case LiteGraph.DOWN:
+          p1[1] += dist2 * 0.25;
+          break;
+      }
+      switch (end_dir) {
+        case LiteGraph.LEFT:
+          p2[0] += dist2 * -0.25;
+          break;
+        case LiteGraph.RIGHT:
+          p2[0] += dist2 * 0.25;
+          break;
+        case LiteGraph.UP:
+          p2[1] += dist2 * -0.25;
+          break;
+        case LiteGraph.DOWN:
+          p2[1] += dist2 * 0.25;
+          break;
+      }
+      var c1 = (1 - t) * (1 - t) * (1 - t);
+      var c2 = 3 * ((1 - t) * (1 - t)) * t;
+      var c3 = 3 * (1 - t) * (t * t);
+      var c4 = t * t * t;
+      var x2 = c1 * p0[0] + c2 * p1[0] + c3 * p2[0] + c4 * p3[0];
+      var y2 = c1 * p0[1] + c2 * p1[1] + c3 * p2[1] + c4 * p3[1];
+      return [x2, y2];
+    }
+    drawExecutionOrder(ctx) {
+      ctx.shadowColor = "transparent";
+      ctx.globalAlpha = 0.25;
+      ctx.textAlign = "center";
+      ctx.strokeStyle = "white";
+      ctx.globalAlpha = 0.75;
+      var visible_nodes = this.visible_nodes;
+      for (var i2 = 0; i2 < visible_nodes.length; ++i2) {
+        var node22 = visible_nodes[i2];
+        ctx.fillStyle = "black";
+        ctx.fillRect(
+          node22.pos[0] - LiteGraph.NODE_TITLE_HEIGHT,
+          node22.pos[1] - LiteGraph.NODE_TITLE_HEIGHT,
+          LiteGraph.NODE_TITLE_HEIGHT,
+          LiteGraph.NODE_TITLE_HEIGHT
+        );
+        if (node22.order == 0) {
+          ctx.strokeRect(
+            node22.pos[0] - LiteGraph.NODE_TITLE_HEIGHT + 0.5,
+            node22.pos[1] - LiteGraph.NODE_TITLE_HEIGHT + 0.5,
+            LiteGraph.NODE_TITLE_HEIGHT,
+            LiteGraph.NODE_TITLE_HEIGHT
+          );
+        }
+        ctx.fillStyle = "#FFF";
+        ctx.fillText(
+          node22.order,
+          node22.pos[0] + LiteGraph.NODE_TITLE_HEIGHT * -0.5,
+          node22.pos[1] - 6
+        );
+      }
+      ctx.globalAlpha = 1;
+    }
+    /**
+         * draws the widgets stored inside a node
+         * @method drawNodeWidgets
+         **/
+    drawNodeWidgets(node22, posY, ctx, active_widget2) {
+      if (!node22.widgets || !node22.widgets.length) {
+        return 0;
+      }
+      var width2 = node22.size[0];
+      var widgets = node22.widgets;
+      posY += 2;
+      var H = LiteGraph.NODE_WIDGET_HEIGHT;
+      var show_text = this.ds.scale > 0.5;
+      ctx.save();
+      ctx.globalAlpha = this.editor_alpha;
+      var outline_color = LiteGraph.WIDGET_OUTLINE_COLOR;
+      var background_color = LiteGraph.WIDGET_BGCOLOR;
+      var text_color = LiteGraph.WIDGET_TEXT_COLOR;
+      var secondary_text_color = LiteGraph.WIDGET_SECONDARY_TEXT_COLOR;
+      var margin = 15;
+      for (var i2 = 0; i2 < widgets.length; ++i2) {
+        var w2 = widgets[i2];
+        var y2 = posY;
+        if (w2.y) {
+          y2 = w2.y;
+        }
+        w2.last_y = y2;
+        ctx.strokeStyle = outline_color;
+        ctx.fillStyle = "#222";
+        ctx.textAlign = "left";
+        if (w2.disabled)
+          ctx.globalAlpha *= 0.5;
+        var widget_width2 = w2.width || width2;
+        switch (w2.type) {
+          case "button":
+            ctx.fillStyle = background_color;
+            if (w2.clicked) {
+              ctx.fillStyle = "#AAA";
+              w2.clicked = false;
+              this.dirty_canvas = true;
+            }
+            ctx.fillRect(margin, y2, widget_width2 - margin * 2, H);
+            if (show_text && !w2.disabled)
+              ctx.strokeRect(margin, y2, widget_width2 - margin * 2, H);
+            if (show_text) {
+              ctx.textAlign = "center";
+              ctx.fillStyle = text_color;
+              ctx.fillText(w2.label || w2.name, widget_width2 * 0.5, y2 + H * 0.7);
+            }
+            break;
+          case "toggle":
+            ctx.textAlign = "left";
+            ctx.strokeStyle = outline_color;
+            ctx.fillStyle = background_color;
+            ctx.beginPath();
+            if (show_text)
+              ctx.roundRect(margin, y2, widget_width2 - margin * 2, H, [H * 0.5]);
+            else
+              ctx.rect(margin, y2, widget_width2 - margin * 2, H);
+            ctx.fill();
+            if (show_text && !w2.disabled)
+              ctx.stroke();
+            ctx.fillStyle = w2.value ? "#89A" : "#333";
+            ctx.beginPath();
+            ctx.arc(widget_width2 - margin * 2, y2 + H * 0.5, H * 0.36, 0, Math.PI * 2);
+            ctx.fill();
+            if (show_text) {
+              ctx.fillStyle = secondary_text_color;
+              const label5 = w2.label || w2.name;
+              if (label5 != null) {
+                ctx.fillText(label5, margin * 2, y2 + H * 0.7);
+              }
+              ctx.fillStyle = w2.value ? text_color : secondary_text_color;
+              ctx.textAlign = "right";
+              ctx.fillText(
+                w2.value ? w2.options.on || "true" : w2.options.off || "false",
+                widget_width2 - 40,
+                y2 + H * 0.7
+              );
+            }
+            break;
+          case "slider":
+            ctx.fillStyle = background_color;
+            ctx.fillRect(margin, y2, widget_width2 - margin * 2, H);
+            var range2 = w2.options.max - w2.options.min;
+            var nvalue2 = (w2.value - w2.options.min) / range2;
+            if (nvalue2 < 0) nvalue2 = 0;
+            if (nvalue2 > 1) nvalue2 = 1;
+            ctx.fillStyle = w2.options.hasOwnProperty("slider_color") ? w2.options.slider_color : active_widget2 == w2 ? "#89A" : "#678";
+            ctx.fillRect(margin, y2, nvalue2 * (widget_width2 - margin * 2), H);
+            if (show_text && !w2.disabled)
+              ctx.strokeRect(margin, y2, widget_width2 - margin * 2, H);
+            if (w2.marker) {
+              var marker_nvalue = (w2.marker - w2.options.min) / range2;
+              if (marker_nvalue < 0) marker_nvalue = 0;
+              if (marker_nvalue > 1) marker_nvalue = 1;
+              ctx.fillStyle = w2.options.hasOwnProperty("marker_color") ? w2.options.marker_color : "#AA9";
+              ctx.fillRect(margin + marker_nvalue * (widget_width2 - margin * 2), y2, 2, H);
+            }
+            if (show_text) {
+              ctx.textAlign = "center";
+              ctx.fillStyle = text_color;
+              ctx.fillText(
+                w2.label || w2.name + "  " + Number(w2.value).toFixed(
+                  w2.options.precision != null ? w2.options.precision : 3
+                ),
+                widget_width2 * 0.5,
+                y2 + H * 0.7
+              );
+            }
+            break;
+          case "number":
+          case "combo":
+            ctx.textAlign = "left";
+            ctx.strokeStyle = outline_color;
+            ctx.fillStyle = background_color;
+            ctx.beginPath();
+            if (show_text)
+              ctx.roundRect(margin, y2, widget_width2 - margin * 2, H, [H * 0.5]);
+            else
+              ctx.rect(margin, y2, widget_width2 - margin * 2, H);
+            ctx.fill();
+            if (show_text) {
+              if (!w2.disabled)
+                ctx.stroke();
+              ctx.fillStyle = text_color;
+              if (!w2.disabled) {
+                ctx.beginPath();
+                ctx.moveTo(margin + 16, y2 + 5);
+                ctx.lineTo(margin + 6, y2 + H * 0.5);
+                ctx.lineTo(margin + 16, y2 + H - 5);
+                ctx.fill();
+                ctx.beginPath();
+                ctx.moveTo(widget_width2 - margin - 16, y2 + 5);
+                ctx.lineTo(widget_width2 - margin - 6, y2 + H * 0.5);
+                ctx.lineTo(widget_width2 - margin - 16, y2 + H - 5);
+                ctx.fill();
+              }
+              ctx.fillStyle = secondary_text_color;
+              ctx.fillText(w2.label || w2.name, margin * 2 + 5, y2 + H * 0.7);
+              ctx.fillStyle = text_color;
+              ctx.textAlign = "right";
+              if (w2.type == "number") {
+                ctx.fillText(
+                  Number(w2.value).toFixed(
+                    w2.options.precision !== void 0 ? w2.options.precision : 3
+                  ),
+                  widget_width2 - margin * 2 - 20,
+                  y2 + H * 0.7
+                );
+              } else {
+                var v2 = w2.value;
+                if (w2.options.values) {
+                  var values2 = w2.options.values;
+                  if (values2.constructor === Function)
+                    values2 = values2();
+                  if (values2 && values2.constructor !== Array)
+                    v2 = values2[w2.value];
+                }
+                const labelWidth = ctx.measureText(w2.label || w2.name).width + margin * 2;
+                const inputWidth = widget_width2 - margin * 4;
+                const availableWidth = inputWidth - labelWidth;
+                const textWidth = ctx.measureText(v2).width;
+                if (textWidth > availableWidth) {
+                  const ELLIPSIS = "…";
+                  const ellipsisWidth = ctx.measureText(ELLIPSIS).width;
+                  const charWidthAvg = ctx.measureText("a").width;
+                  if (availableWidth <= ellipsisWidth) {
+                    v2 = "․";
+                  } else {
+                    v2 = `${v2}`;
+                    const overflowWidth = textWidth + ellipsisWidth - availableWidth;
+                    if (overflowWidth + charWidthAvg * 3 > availableWidth) {
+                      const preciseRange = availableWidth + charWidthAvg * 3;
+                      const preTruncateCt = Math.floor((preciseRange - ellipsisWidth) / charWidthAvg);
+                      v2 = v2.substr(0, preTruncateCt);
+                    }
+                    while (ctx.measureText(v2).width + ellipsisWidth > availableWidth) {
+                      v2 = v2.substr(0, v2.length - 1);
+                    }
+                    v2 += ELLIPSIS;
+                  }
+                }
+                ctx.fillText(
+                  v2,
+                  widget_width2 - margin * 2 - 20,
+                  y2 + H * 0.7
+                );
+              }
+            }
+            break;
+          case "string":
+          case "text":
+            ctx.textAlign = "left";
+            ctx.strokeStyle = outline_color;
+            ctx.fillStyle = background_color;
+            ctx.beginPath();
+            if (show_text)
+              ctx.roundRect(margin, y2, widget_width2 - margin * 2, H, [H * 0.5]);
+            else
+              ctx.rect(margin, y2, widget_width2 - margin * 2, H);
+            ctx.fill();
+            if (show_text) {
+              if (!w2.disabled)
+                ctx.stroke();
+              ctx.save();
+              ctx.beginPath();
+              ctx.rect(margin, y2, widget_width2 - margin * 2, H);
+              ctx.clip();
+              ctx.fillStyle = secondary_text_color;
+              const label5 = w2.label || w2.name;
+              if (label5 != null) {
+                ctx.fillText(label5, margin * 2, y2 + H * 0.7);
+              }
+              ctx.fillStyle = text_color;
+              ctx.textAlign = "right";
+              ctx.fillText(String(w2.value).substr(0, 30), widget_width2 - margin * 2, y2 + H * 0.7);
+              ctx.restore();
+            }
+            break;
+          default:
+            if (w2.draw) {
+              w2.draw(ctx, node22, widget_width2, y2, H);
+            }
+            break;
+        }
+        posY += (w2.computeSize ? w2.computeSize(widget_width2)[1] : H) + 4;
+        ctx.globalAlpha = this.editor_alpha;
+      }
+      ctx.restore();
+      ctx.textAlign = "left";
+    }
+    /**
+         * process an event on widgets
+         * @method processNodeWidgets
+         **/
+    processNodeWidgets(node, pos, event, active_widget) {
+      if (!node.widgets || !node.widgets.length || !this.allow_interaction && !node.flags.allow_interaction) {
+        return null;
+      }
+      var x = pos[0] - node.pos[0];
+      var y = pos[1] - node.pos[1];
+      var width = node.size[0];
+      var that = this;
+      var ref_window = this.getCanvasWindow();
+      for (var i = 0; i < node.widgets.length; ++i) {
+        var w = node.widgets[i];
+        if (!w || w.disabled)
+          continue;
+        var widget_height = w.computeSize ? w.computeSize(width)[1] : LiteGraph.NODE_WIDGET_HEIGHT;
+        var widget_width = w.width || width;
+        if (w != active_widget && (x < 6 || x > widget_width - 12 || y < w.last_y || y > w.last_y + widget_height || w.last_y === void 0))
+          continue;
+        var old_value = w.value;
+        switch (w.type) {
+          case "button":
+            if (event.type === LiteGraph.pointerevents_method + "down") {
+              if (w.callback) {
+                setTimeout(function() {
+                  w.callback(w, that, node, pos, event);
+                }, 20);
+              }
+              w.clicked = true;
+              this.dirty_canvas = true;
+            }
+            break;
+          case "slider":
+            var old_value = w.value;
+            var nvalue = clamp((x - 15) / (widget_width - 30), 0, 1);
+            if (w.options.read_only) break;
+            w.value = w.options.min + (w.options.max - w.options.min) * nvalue;
+            if (old_value != w.value) {
+              setTimeout(function() {
+                inner_value_change(w, w.value);
+              }, 20);
+            }
+            this.dirty_canvas = true;
+            break;
+          case "number":
+          case "combo":
+            var old_value = w.value;
+            var delta = x < 40 ? -1 : x > widget_width - 40 ? 1 : 0;
+            var allow_scroll = true;
+            if (delta) {
+              if (x > -3 && x < widget_width + 3) {
+                allow_scroll = false;
+              }
+            }
+            if (allow_scroll && event.type == LiteGraph.pointerevents_method + "move" && w.type == "number") {
+              if (event.deltaX)
+                w.value += event.deltaX * 0.1 * (w.options.step || 1);
+              if (w.options.min != null && w.value < w.options.min) {
+                w.value = w.options.min;
+              }
+              if (w.options.max != null && w.value > w.options.max) {
+                w.value = w.options.max;
+              }
+            } else if (event.type == LiteGraph.pointerevents_method + "down") {
+              var values = w.options.values;
+              if (values && values.constructor === Function) {
+                values = w.options.values(w, node);
+              }
+              var values_list = null;
+              if (w.type != "number")
+                values_list = values.constructor === Array ? values : Object.keys(values);
+              var delta = x < 40 ? -1 : x > widget_width - 40 ? 1 : 0;
+              if (w.type == "number") {
+                w.value += delta * 0.1 * (w.options.step || 1);
+                if (w.options.min != null && w.value < w.options.min) {
+                  w.value = w.options.min;
+                }
+                if (w.options.max != null && w.value > w.options.max) {
+                  w.value = w.options.max;
+                }
+              } else if (delta) {
+                var index = -1;
+                this.last_mouseclick = 0;
+                if (values.constructor === Object)
+                  index = values_list.indexOf(String(w.value)) + delta;
+                else
+                  index = values_list.indexOf(w.value) + delta;
+                if (index >= values_list.length) {
+                  index = values_list.length - 1;
+                }
+                if (index < 0) {
+                  index = 0;
+                }
+                if (values.constructor === Array)
+                  w.value = values[index];
+                else
+                  w.value = index;
+              } else {
+                let inner_clicked = /* @__PURE__ */ __name(function(v2, option4, event2) {
+                  if (values != values_list)
+                    v2 = text_values.indexOf(v2);
+                  this.value = v2;
+                  inner_value_change(this, v2);
+                  that.dirty_canvas = true;
+                  return false;
+                }, "inner_clicked");
+                var text_values = values != values_list ? Object.values(values) : values;
+                new LiteGraph.ContextMenu(
+                  text_values,
+                  {
+                    scale: Math.max(1, this.ds.scale),
+                    event,
+                    className: "dark",
+                    callback: inner_clicked.bind(w)
+                  },
+                  ref_window
+                );
+              }
+            } else if (event.type == LiteGraph.pointerevents_method + "up" && w.type == "number") {
+              var delta = x < 40 ? -1 : x > widget_width - 40 ? 1 : 0;
+              if (event.click_time < 200 && delta == 0) {
+                this.prompt(
+                  "Value",
+                  w.value,
+                  function(v) {
+                    if (/^[0-9+\-*/()\s]+|\d+\.\d+$/.test(v)) {
+                      try {
+                        v = eval(v);
+                      } catch (e) {
+                      }
+                    }
+                    this.value = Number(v);
+                    inner_value_change(this, this.value);
+                  }.bind(w),
+                  event
+                );
+              }
+            }
+            if (old_value != w.value)
+              setTimeout(
+                function() {
+                  inner_value_change(this, this.value);
+                }.bind(w),
+                20
+              );
+            this.dirty_canvas = true;
+            break;
+          case "toggle":
+            if (event.type == LiteGraph.pointerevents_method + "down") {
+              w.value = !w.value;
+              setTimeout(function() {
+                inner_value_change(w, w.value);
+              }, 20);
+            }
+            break;
+          case "string":
+          case "text":
+            if (event.type == LiteGraph.pointerevents_method + "down") {
+              this.prompt(
+                "Value",
+                w.value,
+                function(v2) {
+                  inner_value_change(this, v2);
+                }.bind(w),
+                event,
+                w.options ? w.options.multiline : false
+              );
+            }
+            break;
+          default:
+            if (w.mouse) {
+              this.dirty_canvas = w.mouse(event, [x, y], node);
+            }
+            break;
+        }
+        if (old_value != w.value) {
+          if (node.onWidgetChanged)
+            node.onWidgetChanged(w.name, w.value, old_value, w);
+          node.graph._version++;
+        }
+        return w;
+      }
+      function inner_value_change(widget, value3) {
+        if (widget.type == "number") {
+          value3 = Number(value3);
+        }
+        widget.value = value3;
+        if (widget.options && widget.options.property && node.properties[widget.options.property] !== void 0) {
+          node.setProperty(widget.options.property, value3);
+        }
+        if (widget.callback) {
+          widget.callback(widget.value, that, node, pos, event);
+        }
+      }
+      __name(inner_value_change, "inner_value_change");
+      return null;
+    }
+    /**
+         * draws every group area in the background
+         * @method drawGroups
+         **/
+    drawGroups(canvas, ctx) {
+      if (!this.graph) {
+        return;
+      }
+      var groups = this.graph._groups;
+      ctx.save();
+      ctx.globalAlpha = 0.5 * this.editor_alpha;
+      for (var i2 = 0; i2 < groups.length; ++i2) {
+        var group = groups[i2];
+        if (!overlapBounding(this.visible_area, group._bounding)) {
+          continue;
+        }
+        ctx.fillStyle = group.color || "#335";
+        ctx.strokeStyle = group.color || "#335";
+        var pos2 = group._pos;
+        var size2 = group._size;
+        ctx.globalAlpha = 0.25 * this.editor_alpha;
+        ctx.beginPath();
+        ctx.rect(pos2[0] + 0.5, pos2[1] + 0.5, size2[0], size2[1]);
+        ctx.fill();
+        ctx.globalAlpha = this.editor_alpha;
+        ctx.stroke();
+        ctx.beginPath();
+        ctx.moveTo(pos2[0] + size2[0], pos2[1] + size2[1]);
+        ctx.lineTo(pos2[0] + size2[0] - 10, pos2[1] + size2[1]);
+        ctx.lineTo(pos2[0] + size2[0], pos2[1] + size2[1] - 10);
+        ctx.fill();
+        var font_size = group.font_size || LiteGraph.DEFAULT_GROUP_FONT_SIZE;
+        ctx.font = font_size + "px Arial";
+        ctx.textAlign = "left";
+        ctx.fillText(group.title, pos2[0] + 4, pos2[1] + font_size);
+      }
+      ctx.restore();
+    }
+    adjustNodesSize() {
+      var nodes = this.graph._nodes;
+      for (var i2 = 0; i2 < nodes.length; ++i2) {
+        nodes[i2].size = nodes[i2].computeSize();
+      }
+      this.setDirty(true, true);
+    }
+    /**
+         * resizes the canvas to a given size, if no size is passed, then it tries to fill the parentNode
+         * @method resize
+         **/
+    resize(width2, height) {
+      if (!width2 && !height) {
+        var parent = this.canvas.parentNode;
+        width2 = parent.offsetWidth;
+        height = parent.offsetHeight;
+      }
+      if (this.canvas.width == width2 && this.canvas.height == height) {
+        return;
+      }
+      this.canvas.width = width2;
+      this.canvas.height = height;
+      this.bgcanvas.width = this.canvas.width;
+      this.bgcanvas.height = this.canvas.height;
+      this.setDirty(true, true);
+    }
+    /**
+         * switches to live mode (node shapes are not rendered, only the content)
+         * this feature was designed when graphs where meant to create user interfaces
+         * @method switchLiveMode
+         **/
+    switchLiveMode(transition) {
+      if (!transition) {
+        this.live_mode = !this.live_mode;
+        this.dirty_canvas = true;
+        this.dirty_bgcanvas = true;
+        return;
+      }
+      var self2 = this;
+      var delta2 = this.live_mode ? 1.1 : 0.9;
+      if (this.live_mode) {
+        this.live_mode = false;
+        this.editor_alpha = 0.1;
+      }
+      var t = setInterval(function() {
+        self2.editor_alpha *= delta2;
+        self2.dirty_canvas = true;
+        self2.dirty_bgcanvas = true;
+        if (delta2 < 1 && self2.editor_alpha < 0.01) {
+          clearInterval(t);
+          if (delta2 < 1) {
+            self2.live_mode = true;
+          }
+        }
+        if (delta2 > 1 && self2.editor_alpha > 0.99) {
+          clearInterval(t);
+          self2.editor_alpha = 1;
+        }
+      }, 1);
+    }
+    onNodeSelectionChange(node22) {
+      return;
+    }
+    /**
+         * Determines the furthest nodes in each direction for the currently selected nodes
+         * @return {{left: LGraphNode, top: LGraphNode, right: LGraphNode, bottom: LGraphNode}}
+         */
+    boundaryNodesForSelection() {
+      return __LGraphCanvas.getBoundaryNodes(Object.values(this.selected_nodes));
+    }
+    showLinkMenu(link, e) {
+      var that2 = this;
+      var node_left = that2.graph.getNodeById(link.origin_id);
+      var node_right = that2.graph.getNodeById(link.target_id);
+      var fromType = false;
+      if (node_left && node_left.outputs && node_left.outputs[link.origin_slot]) fromType = node_left.outputs[link.origin_slot].type;
+      var destType = false;
+      if (node_right && node_right.outputs && node_right.outputs[link.target_slot]) destType = node_right.inputs[link.target_slot].type;
+      var options3 = ["Add Node", null, "Delete", null];
+      var menu = new LiteGraph.ContextMenu(options3, {
+        event: e,
+        title: link.data != null ? link.data.constructor.name : null,
+        callback: inner_clicked
+      });
+      function inner_clicked(v2, options22, e2) {
+        switch (v2) {
+          case "Add Node":
+            __LGraphCanvas.onMenuAdd(null, null, e2, menu, function(node22) {
+              if (!node22.inputs || !node22.inputs.length || !node22.outputs || !node22.outputs.length) {
+                return;
+              }
+              if (node_left.connectByType(link.origin_slot, node22, fromType)) {
+                node22.connectByType(link.target_slot, node_right, destType);
+                node22.pos[0] -= node22.size[0] * 0.5;
+              }
+            });
+            break;
+          case "Delete":
+            that2.graph.removeLink(link.id);
+            break;
+        }
+      }
+      __name(inner_clicked, "inner_clicked");
+      return false;
+    }
+    createDefaultNodeForSlot(optPass) {
+      var optPass = optPass || {};
+      var opts = Object.assign(
+        {
+          nodeFrom: null,
+          slotFrom: null,
+          nodeTo: null,
+          slotTo: null,
+          position: [],
+          nodeType: null,
+          posAdd: [0, 0],
+          posSizeFix: [0, 0]
+          // alpha, adjust the position x,y based on the new node size w,h
+        },
+        optPass
+      );
+      var that2 = this;
+      var isFrom = opts.nodeFrom && opts.slotFrom !== null;
+      var isTo = !isFrom && opts.nodeTo && opts.slotTo !== null;
+      if (!isFrom && !isTo) {
+        console.warn("No data passed to createDefaultNodeForSlot " + opts.nodeFrom + " " + opts.slotFrom + " " + opts.nodeTo + " " + opts.slotTo);
+        return false;
+      }
+      if (!opts.nodeType) {
+        console.warn("No type to createDefaultNodeForSlot");
+        return false;
+      }
+      var nodeX = isFrom ? opts.nodeFrom : opts.nodeTo;
+      var slotX = isFrom ? opts.slotFrom : opts.slotTo;
+      var iSlotConn = false;
+      switch (typeof slotX) {
+        case "string":
+          iSlotConn = isFrom ? nodeX.findOutputSlot(slotX, false) : nodeX.findInputSlot(slotX, false);
+          slotX = isFrom ? nodeX.outputs[slotX] : nodeX.inputs[slotX];
+          break;
+        case "object":
+          iSlotConn = isFrom ? nodeX.findOutputSlot(slotX.name) : nodeX.findInputSlot(slotX.name);
+          break;
+        case "number":
+          iSlotConn = slotX;
+          slotX = isFrom ? nodeX.outputs[slotX] : nodeX.inputs[slotX];
+          break;
+        case "undefined":
+        default:
+          console.warn("Cant get slot information " + slotX);
+          return false;
+      }
+      if (slotX === false || iSlotConn === false) {
+        console.warn("createDefaultNodeForSlot bad slotX " + slotX + " " + iSlotConn);
+      }
+      var fromSlotType = slotX.type == LiteGraph.EVENT ? "_event_" : slotX.type;
+      var slotTypesDefault = isFrom ? LiteGraph.slot_types_default_out : LiteGraph.slot_types_default_in;
+      if (slotTypesDefault && slotTypesDefault[fromSlotType]) {
+        if (slotX.link !== null) ;
+        let nodeNewType = false;
+        if (typeof slotTypesDefault[fromSlotType] == "object" || typeof slotTypesDefault[fromSlotType] == "array") {
+          for (var typeX in slotTypesDefault[fromSlotType]) {
+            if (opts.nodeType == slotTypesDefault[fromSlotType][typeX] || opts.nodeType == "AUTO") {
+              nodeNewType = slotTypesDefault[fromSlotType][typeX];
+              break;
+            }
+          }
+        } else {
+          if (opts.nodeType == slotTypesDefault[fromSlotType] || opts.nodeType == "AUTO") nodeNewType = slotTypesDefault[fromSlotType];
+        }
+        if (nodeNewType) {
+          var nodeNewOpts = false;
+          if (typeof nodeNewType == "object" && nodeNewType.node) {
+            nodeNewOpts = nodeNewType;
+            nodeNewType = nodeNewType.node;
+          }
+          var newNode = LiteGraph.createNode(nodeNewType);
+          if (newNode) {
+            if (nodeNewOpts) {
+              if (nodeNewOpts.properties) {
+                for (var i2 in nodeNewOpts.properties) {
+                  newNode.addProperty(i2, nodeNewOpts.properties[i2]);
+                }
+              }
+              if (nodeNewOpts.inputs) {
+                newNode.inputs = [];
+                for (var i2 in nodeNewOpts.inputs) {
+                  newNode.addOutput(
+                    nodeNewOpts.inputs[i2][0],
+                    nodeNewOpts.inputs[i2][1]
+                  );
+                }
+              }
+              if (nodeNewOpts.outputs) {
+                newNode.outputs = [];
+                for (var i2 in nodeNewOpts.outputs) {
+                  newNode.addOutput(
+                    nodeNewOpts.outputs[i2][0],
+                    nodeNewOpts.outputs[i2][1]
+                  );
+                }
+              }
+              if (nodeNewOpts.title) {
+                newNode.title = nodeNewOpts.title;
+              }
+              if (nodeNewOpts.json) {
+                newNode.configure(nodeNewOpts.json);
+              }
+            }
+            that2.graph.add(newNode);
+            newNode.pos = [
+              opts.position[0] + opts.posAdd[0] + (opts.posSizeFix[0] ? opts.posSizeFix[0] * newNode.size[0] : 0),
+              opts.position[1] + opts.posAdd[1] + (opts.posSizeFix[1] ? opts.posSizeFix[1] * newNode.size[1] : 0)
+            ];
+            if (isFrom) {
+              opts.nodeFrom.connectByType(iSlotConn, newNode, fromSlotType);
+            } else {
+              opts.nodeTo.connectByTypeOutput(iSlotConn, newNode, fromSlotType);
+            }
+            return true;
+          } else {
+            console.log("failed creating " + nodeNewType);
+          }
+        }
+      }
+      return false;
+    }
+    showConnectionMenu(optPass) {
+      var optPass = optPass || {};
+      var opts = Object.assign(
+        {
+          nodeFrom: null,
+          slotFrom: null,
+          nodeTo: null,
+          slotTo: null,
+          e: null
+        },
+        optPass
+      );
+      var that2 = this;
+      var isFrom = opts.nodeFrom && opts.slotFrom;
+      var isTo = !isFrom && opts.nodeTo && opts.slotTo;
+      if (!isFrom && !isTo) {
+        console.warn("No data passed to showConnectionMenu");
+        return false;
+      }
+      var nodeX = isFrom ? opts.nodeFrom : opts.nodeTo;
+      var slotX = isFrom ? opts.slotFrom : opts.slotTo;
+      var iSlotConn = false;
+      switch (typeof slotX) {
+        case "string":
+          iSlotConn = isFrom ? nodeX.findOutputSlot(slotX, false) : nodeX.findInputSlot(slotX, false);
+          slotX = isFrom ? nodeX.outputs[slotX] : nodeX.inputs[slotX];
+          break;
+        case "object":
+          iSlotConn = isFrom ? nodeX.findOutputSlot(slotX.name) : nodeX.findInputSlot(slotX.name);
+          break;
+        case "number":
+          iSlotConn = slotX;
+          slotX = isFrom ? nodeX.outputs[slotX] : nodeX.inputs[slotX];
+          break;
+        default:
+          console.warn("Cant get slot information " + slotX);
+          return false;
+      }
+      var options3 = ["Add Node", null];
+      if (that2.allow_searchbox) {
+        options3.push("Search");
+        options3.push(null);
+      }
+      var fromSlotType = slotX.type == LiteGraph.EVENT ? "_event_" : slotX.type;
+      var slotTypesDefault = isFrom ? LiteGraph.slot_types_default_out : LiteGraph.slot_types_default_in;
+      if (slotTypesDefault && slotTypesDefault[fromSlotType]) {
+        if (typeof slotTypesDefault[fromSlotType] == "object" || typeof slotTypesDefault[fromSlotType] == "array") {
+          for (var typeX in slotTypesDefault[fromSlotType]) {
+            options3.push(slotTypesDefault[fromSlotType][typeX]);
+          }
+        } else {
+          options3.push(slotTypesDefault[fromSlotType]);
+        }
+      }
+      var menu = new LiteGraph.ContextMenu(options3, {
+        event: opts.e,
+        title: (slotX && slotX.name != "" ? slotX.name + (fromSlotType ? " | " : "") : "") + (slotX && fromSlotType ? fromSlotType : ""),
+        callback: inner_clicked
+      });
+      function inner_clicked(v2, options22, e) {
+        switch (v2) {
+          case "Add Node":
+            __LGraphCanvas.onMenuAdd(null, null, e, menu, function(node22) {
+              if (isFrom) {
+                opts.nodeFrom.connectByType(iSlotConn, node22, fromSlotType);
+              } else {
+                opts.nodeTo.connectByTypeOutput(iSlotConn, node22, fromSlotType);
+              }
+            });
+            break;
+          case "Search":
+            if (isFrom) {
+              that2.showSearchBox(e, { node_from: opts.nodeFrom, slot_from: slotX, type_filter_in: fromSlotType });
+            } else {
+              that2.showSearchBox(e, { node_to: opts.nodeTo, slot_from: slotX, type_filter_out: fromSlotType });
+            }
+            break;
+          default:
+            that2.createDefaultNodeForSlot(Object.assign(opts, {
+              position: [opts.e.canvasX, opts.e.canvasY],
+              nodeType: v2
+            }));
+            break;
+        }
+      }
+      __name(inner_clicked, "inner_clicked");
+      return false;
+    }
+    // refactor: there are different dialogs, some uses createDialog some dont
+    prompt(title, value3, callback, event2, multiline) {
+      var that2 = this;
+      title = title || "";
+      var dialog = document.createElement("div");
+      dialog.is_modified = false;
+      dialog.className = "graphdialog rounded";
+      if (multiline)
+        dialog.innerHTML = "<span class='name'></span> <textarea autofocus class='value'></textarea><button class='rounded'>OK</button>";
+      else
+        dialog.innerHTML = "<span class='name'></span> <input autofocus type='text' class='value'/><button class='rounded'>OK</button>";
+      dialog.close = function() {
+        that2.prompt_box = null;
+        if (dialog.parentNode) {
+          dialog.parentNode.removeChild(dialog);
+        }
+      };
+      var graphcanvas = __LGraphCanvas.active_canvas;
+      var canvas = graphcanvas.canvas;
+      canvas.parentNode.appendChild(dialog);
+      if (this.ds.scale > 1) {
+        dialog.style.transform = "scale(" + this.ds.scale + ")";
+      }
+      var dialogCloseTimer = null;
+      var prevent_timeout = false;
+      LiteGraph.pointerListenerAdd(dialog, "leave", function(e) {
+        if (prevent_timeout)
+          return;
+        if (LiteGraph.dialog_close_on_mouse_leave) {
+          if (!dialog.is_modified && LiteGraph.dialog_close_on_mouse_leave)
+            dialogCloseTimer = setTimeout(dialog.close, LiteGraph.dialog_close_on_mouse_leave_delay);
+        }
+      });
+      LiteGraph.pointerListenerAdd(dialog, "enter", function(e) {
+        if (LiteGraph.dialog_close_on_mouse_leave) {
+          if (dialogCloseTimer) clearTimeout(dialogCloseTimer);
+        }
+      });
+      var selInDia = dialog.querySelectorAll("select");
+      if (selInDia) {
+        selInDia.forEach(function(selIn) {
+          selIn.addEventListener("click", function(e) {
+            prevent_timeout++;
+          });
+          selIn.addEventListener("blur", function(e) {
+            prevent_timeout = 0;
+          });
+          selIn.addEventListener("change", function(e) {
+            prevent_timeout = -1;
+          });
+        });
+      }
+      if (that2.prompt_box) {
+        that2.prompt_box.close();
+      }
+      that2.prompt_box = dialog;
+      var name_element = dialog.querySelector(".name");
+      name_element.innerText = title;
+      var value_element = dialog.querySelector(".value");
+      value_element.value = value3;
+      value_element.select();
+      var input = value_element;
+      input.addEventListener("keydown", function(e) {
+        dialog.is_modified = true;
+        if (e.keyCode == 27) {
+          dialog.close();
+        } else if (e.keyCode == 13 && e.target.localName != "textarea") {
+          if (callback) {
+            callback(this.value);
+          }
+          dialog.close();
+        } else {
+          return;
+        }
+        e.preventDefault();
+        e.stopPropagation();
+      });
+      var button = dialog.querySelector("button");
+      button.addEventListener("click", function(e) {
+        if (callback) {
+          callback(input.value);
+        }
+        that2.setDirty(true);
+        dialog.close();
+      });
+      var rect = canvas.getBoundingClientRect();
+      var offsetx = -20;
+      var offsety = -20;
+      if (rect) {
+        offsetx -= rect.left;
+        offsety -= rect.top;
+      }
+      if (event2) {
+        dialog.style.left = event2.clientX + offsetx + "px";
+        dialog.style.top = event2.clientY + offsety + "px";
+      } else {
+        dialog.style.left = canvas.width * 0.5 + offsetx + "px";
+        dialog.style.top = canvas.height * 0.5 + offsety + "px";
+      }
+      setTimeout(function() {
+        input.focus();
+        const clickTime = Date.now();
+        function handleOutsideClick(e) {
+          if (e.target === canvas && Date.now() - clickTime > 256) {
+            dialog.close();
+            canvas.parentNode.removeEventListener("click", handleOutsideClick);
+            canvas.parentNode.removeEventListener("touchend", handleOutsideClick);
+          }
+        }
+        __name(handleOutsideClick, "handleOutsideClick");
+        canvas.parentNode.addEventListener("click", handleOutsideClick);
+        canvas.parentNode.addEventListener("touchend", handleOutsideClick);
+      }, 10);
+      return dialog;
+    }
+    showSearchBox(event2, options3) {
+      var def_options = {
+        slot_from: null,
+        node_from: null,
+        node_to: null,
+        do_type_filter: LiteGraph.search_filter_enabled,
+        type_filter_in: false,
+        type_filter_out: false,
+        show_general_if_none_on_typefilter: true,
+        show_general_after_typefiltered: true,
+        hide_on_mouse_leave: LiteGraph.search_hide_on_mouse_leave,
+        show_all_if_empty: true,
+        show_all_on_open: LiteGraph.search_show_all_on_open
+      };
+      options3 = Object.assign(def_options, options3 || {});
+      var that2 = this;
+      var graphcanvas = __LGraphCanvas.active_canvas;
+      var canvas = graphcanvas.canvas;
+      var root_document = canvas.ownerDocument || document;
+      var dialog = document.createElement("div");
+      dialog.className = "litegraph litesearchbox graphdialog rounded";
+      dialog.innerHTML = "<span class='name'>Search</span> <input autofocus type='text' class='value rounded'/>";
+      if (options3.do_type_filter) {
+        dialog.innerHTML += "<select class='slot_in_type_filter'><option value=''></option></select>";
+        dialog.innerHTML += "<select class='slot_out_type_filter'><option value=''></option></select>";
+      }
+      dialog.innerHTML += "<div class='helper'></div>";
+      if (root_document.fullscreenElement)
+        root_document.fullscreenElement.appendChild(dialog);
+      else {
+        root_document.body.appendChild(dialog);
+        root_document.body.style.overflow = "hidden";
+      }
+      if (options3.do_type_filter) {
+        var selIn = dialog.querySelector(".slot_in_type_filter");
+        var selOut = dialog.querySelector(".slot_out_type_filter");
+      }
+      dialog.close = function() {
+        that2.search_box = null;
+        this.blur();
+        canvas.focus();
+        root_document.body.style.overflow = "";
+        setTimeout(function() {
+          that2.canvas.focus();
+        }, 20);
+        if (dialog.parentNode) {
+          dialog.parentNode.removeChild(dialog);
+        }
+      };
+      if (this.ds.scale > 1) {
+        dialog.style.transform = "scale(" + this.ds.scale + ")";
+      }
+      if (options3.hide_on_mouse_leave) {
+        var prevent_timeout = false;
+        var timeout_close = null;
+        LiteGraph.pointerListenerAdd(dialog, "enter", function(e) {
+          if (timeout_close) {
+            clearTimeout(timeout_close);
+            timeout_close = null;
+          }
+        });
+        LiteGraph.pointerListenerAdd(dialog, "leave", function(e) {
+          if (prevent_timeout) {
+            return;
+          }
+          timeout_close = setTimeout(function() {
+            dialog.close();
+          }, typeof options3.hide_on_mouse_leave === "number" ? options3.hide_on_mouse_leave : 500);
+        });
+        if (options3.do_type_filter) {
+          selIn.addEventListener("click", function(e) {
+            prevent_timeout++;
+          });
+          selIn.addEventListener("blur", function(e) {
+            prevent_timeout = 0;
+          });
+          selIn.addEventListener("change", function(e) {
+            prevent_timeout = -1;
+          });
+          selOut.addEventListener("click", function(e) {
+            prevent_timeout++;
+          });
+          selOut.addEventListener("blur", function(e) {
+            prevent_timeout = 0;
+          });
+          selOut.addEventListener("change", function(e) {
+            prevent_timeout = -1;
+          });
+        }
+      }
+      if (that2.search_box) {
+        that2.search_box.close();
+      }
+      that2.search_box = dialog;
+      var helper = dialog.querySelector(".helper");
+      var first = null;
+      var timeout = null;
+      var selected2 = null;
+      var input = dialog.querySelector("input");
+      if (input) {
+        input.addEventListener("blur", function(e) {
+          this.focus();
+        });
+        input.addEventListener("keydown", function(e) {
+          if (e.keyCode == 38) {
+            changeSelection(false);
+          } else if (e.keyCode == 40) {
+            changeSelection(true);
+          } else if (e.keyCode == 27) {
+            dialog.close();
+          } else if (e.keyCode == 13) {
+            if (selected2) {
+              select(unescape(selected2.dataset["type"]));
+            } else if (first) {
+              select(first);
+            } else {
+              dialog.close();
+            }
+          } else {
+            if (timeout) {
+              clearInterval(timeout);
+            }
+            timeout = setTimeout(refreshHelper, 10);
+            return;
+          }
+          e.preventDefault();
+          e.stopPropagation();
+          e.stopImmediatePropagation();
+          return true;
+        });
+      }
+      if (options3.do_type_filter) {
+        if (selIn) {
+          var aSlots = LiteGraph.slot_types_in;
+          var nSlots = aSlots.length;
+          if (options3.type_filter_in == LiteGraph.EVENT || options3.type_filter_in == LiteGraph.ACTION)
+            options3.type_filter_in = "_event_";
+          for (var iK = 0; iK < nSlots; iK++) {
+            var opt = document.createElement("option");
+            opt.value = aSlots[iK];
+            opt.innerHTML = aSlots[iK];
+            selIn.appendChild(opt);
+            if (options3.type_filter_in !== false && (options3.type_filter_in + "").toLowerCase() == (aSlots[iK] + "").toLowerCase()) {
+              opt.selected = true;
+            }
+          }
+          selIn.addEventListener("change", function() {
+            refreshHelper();
+          });
+        }
+        if (selOut) {
+          var aSlots = LiteGraph.slot_types_out;
+          var nSlots = aSlots.length;
+          if (options3.type_filter_out == LiteGraph.EVENT || options3.type_filter_out == LiteGraph.ACTION)
+            options3.type_filter_out = "_event_";
+          for (var iK = 0; iK < nSlots; iK++) {
+            var opt = document.createElement("option");
+            opt.value = aSlots[iK];
+            opt.innerHTML = aSlots[iK];
+            selOut.appendChild(opt);
+            if (options3.type_filter_out !== false && (options3.type_filter_out + "").toLowerCase() == (aSlots[iK] + "").toLowerCase()) {
+              opt.selected = true;
+            }
+          }
+          selOut.addEventListener("change", function() {
+            refreshHelper();
+          });
+        }
+      }
+      var rect = canvas.getBoundingClientRect();
+      var left = (event2 ? event2.clientX : rect.left + rect.width * 0.5) - 80;
+      var top = (event2 ? event2.clientY : rect.top + rect.height * 0.5) - 20;
+      dialog.style.left = left + "px";
+      dialog.style.top = top + "px";
+      if (event2.layerY > rect.height - 200)
+        helper.style.maxHeight = rect.height - event2.layerY - 20 + "px";
+      input.focus();
+      if (options3.show_all_on_open) refreshHelper();
+      function select(name) {
+        if (name) {
+          if (that2.onSearchBoxSelection) {
+            that2.onSearchBoxSelection(name, event2, graphcanvas);
+          } else {
+            var extra = LiteGraph.searchbox_extras[name.toLowerCase()];
+            if (extra) {
+              name = extra.type;
+            }
+            graphcanvas.graph.beforeChange();
+            var node22 = LiteGraph.createNode(name);
+            if (node22) {
+              node22.pos = graphcanvas.convertEventToCanvasOffset(
+                event2
+              );
+              graphcanvas.graph.add(node22, false);
+            }
+            if (extra && extra.data) {
+              if (extra.data.properties) {
+                for (var i2 in extra.data.properties) {
+                  node22.addProperty(i2, extra.data.properties[i2]);
+                }
+              }
+              if (extra.data.inputs) {
+                node22.inputs = [];
+                for (var i2 in extra.data.inputs) {
+                  node22.addOutput(
+                    extra.data.inputs[i2][0],
+                    extra.data.inputs[i2][1]
+                  );
+                }
+              }
+              if (extra.data.outputs) {
+                node22.outputs = [];
+                for (var i2 in extra.data.outputs) {
+                  node22.addOutput(
+                    extra.data.outputs[i2][0],
+                    extra.data.outputs[i2][1]
+                  );
+                }
+              }
+              if (extra.data.title) {
+                node22.title = extra.data.title;
+              }
+              if (extra.data.json) {
+                node22.configure(extra.data.json);
+              }
+            }
+            if (options3.node_from) {
+              var iS = false;
+              switch (typeof options3.slot_from) {
+                case "string":
+                  iS = options3.node_from.findOutputSlot(options3.slot_from);
+                  break;
+                case "object":
+                  if (options3.slot_from.name) {
+                    iS = options3.node_from.findOutputSlot(options3.slot_from.name);
+                  } else {
+                    iS = -1;
+                  }
+                  if (iS == -1 && typeof options3.slot_from.slot_index !== "undefined") iS = options3.slot_from.slot_index;
+                  break;
+                case "number":
+                  iS = options3.slot_from;
+                  break;
+                default:
+                  iS = 0;
+              }
+              if (typeof options3.node_from.outputs[iS] !== "undefined") {
+                if (iS !== false && iS > -1) {
+                  options3.node_from.connectByType(iS, node22, options3.node_from.outputs[iS].type);
+                }
+              }
+            }
+            if (options3.node_to) {
+              var iS = false;
+              switch (typeof options3.slot_from) {
+                case "string":
+                  iS = options3.node_to.findInputSlot(options3.slot_from);
+                  break;
+                case "object":
+                  if (options3.slot_from.name) {
+                    iS = options3.node_to.findInputSlot(options3.slot_from.name);
+                  } else {
+                    iS = -1;
+                  }
+                  if (iS == -1 && typeof options3.slot_from.slot_index !== "undefined") iS = options3.slot_from.slot_index;
+                  break;
+                case "number":
+                  iS = options3.slot_from;
+                  break;
+                default:
+                  iS = 0;
+              }
+              if (typeof options3.node_to.inputs[iS] !== "undefined") {
+                if (iS !== false && iS > -1) {
+                  options3.node_to.connectByTypeOutput(iS, node22, options3.node_to.inputs[iS].type);
+                }
+              }
+            }
+            graphcanvas.graph.afterChange();
+          }
+        }
+        dialog.close();
+      }
+      __name(select, "select");
+      function changeSelection(forward) {
+        var prev2 = selected2;
+        if (selected2) {
+          selected2.classList.remove("selected");
+        }
+        if (!selected2) {
+          selected2 = forward ? helper.childNodes[0] : helper.childNodes[helper.childNodes.length];
+        } else {
+          selected2 = forward ? selected2.nextSibling : selected2.previousSibling;
+          if (!selected2) {
+            selected2 = prev2;
+          }
+        }
+        if (!selected2) {
+          return;
+        }
+        selected2.classList.add("selected");
+        selected2.scrollIntoView({ block: "end", behavior: "smooth" });
+      }
+      __name(changeSelection, "changeSelection");
+      function refreshHelper() {
+        timeout = null;
+        var str = input.value;
+        first = null;
+        helper.innerHTML = "";
+        if (!str && !options3.show_all_if_empty) {
+          return;
+        }
+        if (that2.onSearchBox) {
+          var list = that2.onSearchBox(helper, str, graphcanvas);
+          if (list) {
+            for (var i2 = 0; i2 < list.length; ++i2) {
+              addResult(list[i2]);
+            }
+          }
+        } else {
+          let inner_test_filter = /* @__PURE__ */ __name(function(type, optsIn) {
+            var optsIn = optsIn || {};
+            var optsDef = {
+              skipFilter: false,
+              inTypeOverride: false,
+              outTypeOverride: false
+            };
+            var opts = Object.assign(optsDef, optsIn);
+            var ctor2 = LiteGraph.registered_node_types[type];
+            if (filter4 && ctor2.filter != filter4)
+              return false;
+            if ((!options3.show_all_if_empty || str) && type.toLowerCase().indexOf(str) === -1 && (!ctor2.title || ctor2.title.toLowerCase().indexOf(str) === -1))
+              return false;
+            if (options3.do_type_filter && !opts.skipFilter) {
+              var sType = type;
+              var sV = sIn.value;
+              if (opts.inTypeOverride !== false) sV = opts.inTypeOverride;
+              if (sIn && sV) {
+                if (LiteGraph.registered_slot_in_types[sV] && LiteGraph.registered_slot_in_types[sV].nodes) {
+                  var doesInc = LiteGraph.registered_slot_in_types[sV].nodes.includes(sType);
+                  if (doesInc !== false) ;
+                  else {
+                    return false;
+                  }
+                }
+              }
+              var sV = sOut.value;
+              if (opts.outTypeOverride !== false) sV = opts.outTypeOverride;
+              if (sOut && sV) {
+                if (LiteGraph.registered_slot_out_types[sV] && LiteGraph.registered_slot_out_types[sV].nodes) {
+                  var doesInc = LiteGraph.registered_slot_out_types[sV].nodes.includes(sType);
+                  if (doesInc !== false) ;
+                  else {
+                    return false;
+                  }
+                }
+              }
+            }
+            return true;
+          }, "inner_test_filter");
+          var c = 0;
+          str = str.toLowerCase();
+          var filter4 = graphcanvas.filter || graphcanvas.graph.filter;
+          if (options3.do_type_filter && that2.search_box) {
+            var sIn = that2.search_box.querySelector(".slot_in_type_filter");
+            var sOut = that2.search_box.querySelector(".slot_out_type_filter");
+          } else {
+            var sIn = false;
+            var sOut = false;
+          }
+          for (var i2 in LiteGraph.searchbox_extras) {
+            var extra = LiteGraph.searchbox_extras[i2];
+            if ((!options3.show_all_if_empty || str) && extra.desc.toLowerCase().indexOf(str) === -1) {
+              continue;
+            }
+            var ctor = LiteGraph.registered_node_types[extra.type];
+            if (ctor && ctor.filter != filter4)
+              continue;
+            if (!inner_test_filter(extra.type))
+              continue;
+            addResult(extra.desc, "searchbox_extra");
+            if (__LGraphCanvas.search_limit !== -1 && c++ > __LGraphCanvas.search_limit) {
+              break;
+            }
+          }
+          var filtered = null;
+          if (Array.prototype.filter) {
+            var keys2 = Object.keys(LiteGraph.registered_node_types);
+            var filtered = keys2.filter(inner_test_filter);
+          } else {
+            filtered = [];
+            for (var i2 in LiteGraph.registered_node_types) {
+              if (inner_test_filter(i2))
+                filtered.push(i2);
+            }
+          }
+          for (var i2 = 0; i2 < filtered.length; i2++) {
+            addResult(filtered[i2]);
+            if (__LGraphCanvas.search_limit !== -1 && c++ > __LGraphCanvas.search_limit) {
+              break;
+            }
+          }
+          if (options3.show_general_after_typefiltered && (sIn.value || sOut.value)) {
+            filtered_extra = [];
+            for (var i2 in LiteGraph.registered_node_types) {
+              if (inner_test_filter(i2, { inTypeOverride: sIn && sIn.value ? "*" : false, outTypeOverride: sOut && sOut.value ? "*" : false }))
+                filtered_extra.push(i2);
+            }
+            for (var i2 = 0; i2 < filtered_extra.length; i2++) {
+              addResult(filtered_extra[i2], "generic_type");
+              if (__LGraphCanvas.search_limit !== -1 && c++ > __LGraphCanvas.search_limit) {
+                break;
+              }
+            }
+          }
+          if ((sIn.value || sOut.value) && (helper.childNodes.length == 0 && options3.show_general_if_none_on_typefilter)) {
+            filtered_extra = [];
+            for (var i2 in LiteGraph.registered_node_types) {
+              if (inner_test_filter(i2, { skipFilter: true }))
+                filtered_extra.push(i2);
+            }
+            for (var i2 = 0; i2 < filtered_extra.length; i2++) {
+              addResult(filtered_extra[i2], "not_in_filter");
+              if (__LGraphCanvas.search_limit !== -1 && c++ > __LGraphCanvas.search_limit) {
+                break;
+              }
+            }
+          }
+        }
+        function addResult(type, className) {
+          var help = document.createElement("div");
+          if (!first) {
+            first = type;
+          }
+          const nodeType = LiteGraph.registered_node_types[type];
+          if (nodeType == null ? void 0 : nodeType.title) {
+            help.innerText = nodeType == null ? void 0 : nodeType.title;
+            const typeEl = document.createElement("span");
+            typeEl.className = "litegraph lite-search-item-type";
+            typeEl.textContent = type;
+            help.append(typeEl);
+          } else {
+            help.innerText = type;
+          }
+          help.dataset["type"] = escape(type);
+          help.className = "litegraph lite-search-item";
+          if (className) {
+            help.className += " " + className;
+          }
+          help.addEventListener("click", function(e) {
+            select(unescape(this.dataset["type"]));
+          });
+          helper.appendChild(help);
+        }
+        __name(addResult, "addResult");
+      }
+      __name(refreshHelper, "refreshHelper");
+      return dialog;
+    }
+    showEditPropertyValue(node22, property, options3) {
+      if (!node22 || node22.properties[property] === void 0) {
+        return;
+      }
+      options3 = options3 || {};
+      var info = node22.getPropertyInfo(property);
+      var type = info.type;
+      var input_html = "";
+      if (type == "string" || type == "number" || type == "array" || type == "object") {
+        input_html = "<input autofocus type='text' class='value'/>";
+      } else if ((type == "enum" || type == "combo") && info.values) {
+        input_html = "<select autofocus type='text' class='value'>";
+        for (var i2 in info.values) {
+          var v2 = i2;
+          if (info.values.constructor === Array)
+            v2 = info.values[i2];
+          input_html += "<option value='" + v2 + "' " + (v2 == node22.properties[property] ? "selected" : "") + ">" + info.values[i2] + "</option>";
+        }
+        input_html += "</select>";
+      } else if (type == "boolean" || type == "toggle") {
+        input_html = "<input autofocus type='checkbox' class='value' " + (node22.properties[property] ? "checked" : "") + "/>";
+      } else {
+        console.warn("unknown type: " + type);
+        return;
+      }
+      var dialog = this.createDialog(
+        "<span class='name'>" + (info.label ? info.label : property) + "</span>" + input_html + "<button>OK</button>",
+        options3
+      );
+      var input = false;
+      if ((type == "enum" || type == "combo") && info.values) {
+        input = dialog.querySelector("select");
+        input.addEventListener("change", function(e) {
+          dialog.modified();
+          setValue2(e.target.value);
+        });
+      } else if (type == "boolean" || type == "toggle") {
+        input = dialog.querySelector("input");
+        if (input) {
+          input.addEventListener("click", function(e) {
+            dialog.modified();
+            setValue2(!!input.checked);
+          });
+        }
+      } else {
+        input = dialog.querySelector("input");
+        if (input) {
+          input.addEventListener("blur", function(e) {
+            this.focus();
+          });
+          var v2 = node22.properties[property] !== void 0 ? node22.properties[property] : "";
+          if (type !== "string") {
+            v2 = JSON.stringify(v2);
+          }
+          input.value = v2;
+          input.addEventListener("keydown", function(e) {
+            if (e.keyCode == 27) {
+              dialog.close();
+            } else if (e.keyCode == 13) {
+              inner();
+            } else if (e.keyCode != 13) {
+              dialog.modified();
+              return;
+            }
+            e.preventDefault();
+            e.stopPropagation();
+          });
+        }
+      }
+      if (input) input.focus();
+      var button = dialog.querySelector("button");
+      button.addEventListener("click", inner);
+      function inner() {
+        setValue2(input.value);
+      }
+      __name(inner, "inner");
+      function setValue2(value3) {
+        if (info && info.values && info.values.constructor === Object && info.values[value3] != void 0)
+          value3 = info.values[value3];
+        if (typeof node22.properties[property] == "number") {
+          value3 = Number(value3);
+        }
+        if (type == "array" || type == "object") {
+          value3 = JSON.parse(value3);
+        }
+        node22.properties[property] = value3;
+        if (node22.graph) {
+          node22.graph._version++;
+        }
+        if (node22.onPropertyChanged) {
+          node22.onPropertyChanged(property, value3);
+        }
+        if (options3.onclose)
+          options3.onclose();
+        dialog.close();
+        node22.setDirtyCanvas(true, true);
+      }
+      __name(setValue2, "setValue");
+      return dialog;
+    }
+    // TODO refactor, theer are different dialog, some uses createDialog, some dont
+    createDialog(html, options3) {
+      var def_options = { checkForInput: false, closeOnLeave: true, closeOnLeave_checkModified: true };
+      options3 = Object.assign(def_options, options3 || {});
+      var dialog = document.createElement("div");
+      dialog.className = "graphdialog";
+      dialog.innerHTML = html;
+      dialog.is_modified = false;
+      var rect = this.canvas.getBoundingClientRect();
+      var offsetx = -20;
+      var offsety = -20;
+      if (rect) {
+        offsetx -= rect.left;
+        offsety -= rect.top;
+      }
+      if (options3.position) {
+        offsetx += options3.position[0];
+        offsety += options3.position[1];
+      } else if (options3.event) {
+        offsetx += options3.event.clientX;
+        offsety += options3.event.clientY;
+      } else {
+        offsetx += this.canvas.width * 0.5;
+        offsety += this.canvas.height * 0.5;
+      }
+      dialog.style.left = offsetx + "px";
+      dialog.style.top = offsety + "px";
+      this.canvas.parentNode.appendChild(dialog);
+      if (options3.checkForInput) {
+        var aI = [];
+        var focused = false;
+        if (aI = dialog.querySelectorAll("input")) {
+          aI.forEach(function(iX) {
+            iX.addEventListener("keydown", function(e) {
+              dialog.modified();
+              if (e.keyCode == 27) {
+                dialog.close();
+              } else if (e.keyCode != 13) {
+                return;
+              }
+              e.preventDefault();
+              e.stopPropagation();
+            });
+            if (!focused) iX.focus();
+          });
+        }
+      }
+      dialog.modified = function() {
+        dialog.is_modified = true;
+      };
+      dialog.close = function() {
+        if (dialog.parentNode) {
+          dialog.parentNode.removeChild(dialog);
+        }
+      };
+      var dialogCloseTimer = null;
+      var prevent_timeout = false;
+      dialog.addEventListener("mouseleave", function(e) {
+        if (prevent_timeout)
+          return;
+        if (options3.closeOnLeave || LiteGraph.dialog_close_on_mouse_leave) {
+          if (!dialog.is_modified && LiteGraph.dialog_close_on_mouse_leave)
+            dialogCloseTimer = setTimeout(dialog.close, LiteGraph.dialog_close_on_mouse_leave_delay);
+        }
+      });
+      dialog.addEventListener("mouseenter", function(e) {
+        if (options3.closeOnLeave || LiteGraph.dialog_close_on_mouse_leave) {
+          if (dialogCloseTimer) clearTimeout(dialogCloseTimer);
+        }
+      });
+      var selInDia = dialog.querySelectorAll("select");
+      if (selInDia) {
+        selInDia.forEach(function(selIn) {
+          selIn.addEventListener("click", function(e) {
+            prevent_timeout++;
+          });
+          selIn.addEventListener("blur", function(e) {
+            prevent_timeout = 0;
+          });
+          selIn.addEventListener("change", function(e) {
+            prevent_timeout = -1;
+          });
+        });
+      }
+      return dialog;
+    }
+    createPanel(title, options3) {
+      options3 = options3 || {};
+      var ref_window2 = options3.window || window;
+      var root26 = document.createElement("div");
+      root26.className = "litegraph dialog";
+      root26.innerHTML = "<div class='dialog-header'><span class='dialog-title'></span></div><div class='dialog-content'></div><div style='display:none;' class='dialog-alt-content'></div><div class='dialog-footer'></div>";
+      root26.header = root26.querySelector(".dialog-header");
+      if (options3.width)
+        root26.style.width = options3.width + (options3.width.constructor === Number ? "px" : "");
+      if (options3.height)
+        root26.style.height = options3.height + (options3.height.constructor === Number ? "px" : "");
+      if (options3.closable) {
+        var close4 = document.createElement("span");
+        close4.innerHTML = "&#10005;";
+        close4.classList.add("close");
+        close4.addEventListener("click", function() {
+          root26.close();
+        });
+        root26.header.appendChild(close4);
+      }
+      root26.title_element = root26.querySelector(".dialog-title");
+      root26.title_element.innerText = title;
+      root26.content = root26.querySelector(".dialog-content");
+      root26.alt_content = root26.querySelector(".dialog-alt-content");
+      root26.footer = root26.querySelector(".dialog-footer");
+      root26.close = function() {
+        if (root26.onClose && typeof root26.onClose == "function") {
+          root26.onClose();
+        }
+        if (root26.parentNode)
+          root26.parentNode.removeChild(root26);
+        if (this.parentNode) {
+          this.parentNode.removeChild(this);
+        }
+      };
+      root26.toggleAltContent = function(force) {
+        if (typeof force != "undefined") {
+          var vTo = force ? "block" : "none";
+          var vAlt = force ? "none" : "block";
+        } else {
+          var vTo = root26.alt_content.style.display != "block" ? "block" : "none";
+          var vAlt = root26.alt_content.style.display != "block" ? "none" : "block";
+        }
+        root26.alt_content.style.display = vTo;
+        root26.content.style.display = vAlt;
+      };
+      root26.toggleFooterVisibility = function(force) {
+        if (typeof force != "undefined") {
+          var vTo = force ? "block" : "none";
+        } else {
+          var vTo = root26.footer.style.display != "block" ? "block" : "none";
+        }
+        root26.footer.style.display = vTo;
+      };
+      root26.clear = function() {
+        this.content.innerHTML = "";
+      };
+      root26.addHTML = function(code2, classname, on_footer) {
+        var elem = document.createElement("div");
+        if (classname)
+          elem.className = classname;
+        elem.innerHTML = code2;
+        if (on_footer)
+          root26.footer.appendChild(elem);
+        else
+          root26.content.appendChild(elem);
+        return elem;
+      };
+      root26.addButton = function(name, callback, options22) {
+        var elem = document.createElement("button");
+        elem.innerText = name;
+        elem.options = options22;
+        elem.classList.add("btn");
+        elem.addEventListener("click", callback);
+        root26.footer.appendChild(elem);
+        return elem;
+      };
+      root26.addSeparator = function() {
+        var elem = document.createElement("div");
+        elem.className = "separator";
+        root26.content.appendChild(elem);
+      };
+      root26.addWidget = function(type, name, value3, options22, callback) {
+        options22 = options22 || {};
+        var str_value = String(value3);
+        type = type.toLowerCase();
+        if (type == "number")
+          str_value = value3.toFixed(3);
+        var elem = document.createElement("div");
+        elem.className = "property";
+        elem.innerHTML = "<span class='property_name'></span><span class='property_value'></span>";
+        elem.querySelector(".property_name").innerText = options22.label || name;
+        var value_element = elem.querySelector(".property_value");
+        value_element.innerText = str_value;
+        elem.dataset["property"] = name;
+        elem.dataset["type"] = options22.type || type;
+        elem.options = options22;
+        elem.value = value3;
+        if (type == "code")
+          elem.addEventListener("click", function(e) {
+            root26.inner_showCodePad(this.dataset["property"]);
+          });
+        else if (type == "boolean") {
+          elem.classList.add("boolean");
+          if (value3)
+            elem.classList.add("bool-on");
+          elem.addEventListener("click", function() {
+            var propname = this.dataset["property"];
+            this.value = !this.value;
+            this.classList.toggle("bool-on");
+            this.querySelector(".property_value").innerText = this.value ? "true" : "false";
+            innerChange(propname, this.value);
+          });
+        } else if (type == "string" || type == "number") {
+          value_element.setAttribute("contenteditable", true);
+          value_element.addEventListener("keydown", function(e) {
+            if (e.code == "Enter" && (type != "string" || !e.shiftKey)) {
+              e.preventDefault();
+              this.blur();
+            }
+          });
+          value_element.addEventListener("blur", function() {
+            var v2 = this.innerText;
+            var propname = this.parentNode.dataset["property"];
+            var proptype = this.parentNode.dataset["type"];
+            if (proptype == "number")
+              v2 = Number(v2);
+            innerChange(propname, v2);
+          });
+        } else if (type == "enum" || type == "combo") {
+          var str_value = __LGraphCanvas.getPropertyPrintableValue(value3, options22.values);
+          value_element.innerText = str_value;
+          value_element.addEventListener("click", function(event2) {
+            var values2 = options22.values || [];
+            var propname = this.parentNode.dataset["property"];
+            var elem_that = this;
+            new LiteGraph.ContextMenu(
+              values2,
+              {
+                event: event2,
+                className: "dark",
+                callback: inner_clicked
+              },
+              ref_window2
+            );
+            function inner_clicked(v2, option4, event3) {
+              elem_that.innerText = v2;
+              innerChange(propname, v2);
+              return false;
+            }
+            __name(inner_clicked, "inner_clicked");
+          });
+        }
+        root26.content.appendChild(elem);
+        function innerChange(name2, value22) {
+          if (options22.callback)
+            options22.callback(name2, value22, options22);
+          if (callback)
+            callback(name2, value22, options22);
+        }
+        __name(innerChange, "innerChange");
+        return elem;
+      };
+      if (root26.onOpen && typeof root26.onOpen == "function") root26.onOpen();
+      return root26;
+    }
+    closePanels() {
+      var panel22 = document.querySelector("#node-panel");
+      if (panel22)
+        panel22.close();
+      var panel22 = document.querySelector("#option-panel");
+      if (panel22)
+        panel22.close();
+    }
+    showShowGraphOptionsPanel(refOpts, obEv, refMenu, refMenu2) {
+      if (this.constructor && this.constructor.name == "HTMLDivElement") {
+        if (!obEv || !obEv.event || !obEv.event.target || !obEv.event.target.lgraphcanvas) {
+          console.warn("Canvas not found");
+          return;
+        }
+        var graphcanvas = obEv.event.target.lgraphcanvas;
+      } else {
+        var graphcanvas = this;
+      }
+      graphcanvas.closePanels();
+      var ref_window2 = graphcanvas.getCanvasWindow();
+      panel = graphcanvas.createPanel("Options", {
+        closable: true,
+        window: ref_window2,
+        onOpen: /* @__PURE__ */ __name(function() {
+          graphcanvas.OPTIONPANEL_IS_OPEN = true;
+        }, "onOpen"),
+        onClose: /* @__PURE__ */ __name(function() {
+          graphcanvas.OPTIONPANEL_IS_OPEN = false;
+          graphcanvas.options_panel = null;
+        }, "onClose")
+      });
+      graphcanvas.options_panel = panel;
+      panel.id = "option-panel";
+      panel.classList.add("settings");
+      function inner_refresh() {
+        panel.content.innerHTML = "";
+        var fUpdate = /* @__PURE__ */ __name(function(name, value3, options3) {
+          switch (name) {
+            default:
+              if (options3 && options3.key) {
+                name = options3.key;
+              }
+              if (options3.values) {
+                value3 = Object.values(options3.values).indexOf(value3);
+              }
+              graphcanvas[name] = value3;
+              break;
+          }
+        }, "fUpdate");
+        var aProps = LiteGraph.availableCanvasOptions;
+        aProps.sort();
+        for (var pI in aProps) {
+          var pX = aProps[pI];
+          panel.addWidget("boolean", pX, graphcanvas[pX], { key: pX, on: "True", off: "False" }, fUpdate);
+        }
+        [graphcanvas.links_render_mode];
+        panel.addWidget("combo", "Render mode", LiteGraph.LINK_RENDER_MODES[graphcanvas.links_render_mode], { key: "links_render_mode", values: LiteGraph.LINK_RENDER_MODES }, fUpdate);
+        panel.addSeparator();
+        panel.footer.innerHTML = "";
+      }
+      __name(inner_refresh, "inner_refresh");
+      inner_refresh();
+      graphcanvas.canvas.parentNode.appendChild(panel);
+    }
+    showShowNodePanel(node22) {
+      this.SELECTED_NODE = node22;
+      this.closePanels();
+      var ref_window2 = this.getCanvasWindow();
+      var graphcanvas = this;
+      var panel22 = this.createPanel(node22.title || "", {
+        closable: true,
+        window: ref_window2,
+        onOpen: /* @__PURE__ */ __name(function() {
+          graphcanvas.NODEPANEL_IS_OPEN = true;
+        }, "onOpen"),
+        onClose: /* @__PURE__ */ __name(function() {
+          graphcanvas.NODEPANEL_IS_OPEN = false;
+          graphcanvas.node_panel = null;
+        }, "onClose")
+      });
+      graphcanvas.node_panel = panel22;
+      panel22.id = "node-panel";
+      panel22.node = node22;
+      panel22.classList.add("settings");
+      function inner_refresh() {
+        panel22.content.innerHTML = "";
+        panel22.addHTML("<span class='node_type'>" + node22.type + "</span><span class='node_desc'>" + (node22.constructor.desc || "") + "</span><span class='separator'></span>");
+        panel22.addHTML("<h3>Properties</h3>");
+        var fUpdate = /* @__PURE__ */ __name(function(name, value22) {
+          graphcanvas.graph.beforeChange(node22);
+          switch (name) {
+            case "Title":
+              node22.title = value22;
+              break;
+            case "Mode":
+              var kV = Object.values(LiteGraph.NODE_MODES).indexOf(value22);
+              if (kV >= 0 && LiteGraph.NODE_MODES[kV]) {
+                node22.changeMode(kV);
+              } else {
+                console.warn("unexpected mode: " + value22);
+              }
+              break;
+            case "Color":
+              if (__LGraphCanvas.node_colors[value22]) {
+                node22.color = __LGraphCanvas.node_colors[value22].color;
+                node22.bgcolor = __LGraphCanvas.node_colors[value22].bgcolor;
+              } else {
+                console.warn("unexpected color: " + value22);
+              }
+              break;
+            default:
+              node22.setProperty(name, value22);
+              break;
+          }
+          graphcanvas.graph.afterChange();
+          graphcanvas.dirty_canvas = true;
+        }, "fUpdate");
+        panel22.addWidget("string", "Title", node22.title, {}, fUpdate);
+        panel22.addWidget("combo", "Mode", LiteGraph.NODE_MODES[node22.mode], { values: LiteGraph.NODE_MODES }, fUpdate);
+        var nodeCol = "";
+        if (node22.color !== void 0) {
+          nodeCol = Object.keys(__LGraphCanvas.node_colors).filter(function(nK) {
+            return __LGraphCanvas.node_colors[nK].color == node22.color;
+          });
+        }
+        panel22.addWidget("combo", "Color", nodeCol, { values: Object.keys(__LGraphCanvas.node_colors) }, fUpdate);
+        for (var pName in node22.properties) {
+          var value3 = node22.properties[pName];
+          var info = node22.getPropertyInfo(pName);
+          info.type || "string";
+          if (node22.onAddPropertyToPanel && node22.onAddPropertyToPanel(pName, panel22))
+            continue;
+          panel22.addWidget(info.widget || info.type, pName, value3, info, fUpdate);
+        }
+        panel22.addSeparator();
+        if (node22.onShowCustomPanelInfo)
+          node22.onShowCustomPanelInfo(panel22);
+        panel22.footer.innerHTML = "";
+        panel22.addButton("Delete", function() {
+          if (node22.block_delete)
+            return;
+          node22.graph.remove(node22);
+          panel22.close();
+        }).classList.add("delete");
+      }
+      __name(inner_refresh, "inner_refresh");
+      panel22.inner_showCodePad = function(propname) {
+        panel22.classList.remove("settings");
+        panel22.classList.add("centered");
+        panel22.alt_content.innerHTML = "<textarea class='code'></textarea>";
+        var textarea = panel22.alt_content.querySelector("textarea");
+        var fDoneWith = /* @__PURE__ */ __name(function() {
+          panel22.toggleAltContent(false);
+          panel22.toggleFooterVisibility(true);
+          textarea.parentNode.removeChild(textarea);
+          panel22.classList.add("settings");
+          panel22.classList.remove("centered");
+          inner_refresh();
+        }, "fDoneWith");
+        textarea.value = node22.properties[propname];
+        textarea.addEventListener("keydown", function(e) {
+          if (e.code == "Enter" && e.ctrlKey) {
+            node22.setProperty(propname, textarea.value);
+            fDoneWith();
+          }
+        });
+        panel22.toggleAltContent(true);
+        panel22.toggleFooterVisibility(false);
+        textarea.style.height = "calc(100% - 40px)";
+        var assign2 = panel22.addButton("Assign", function() {
+          node22.setProperty(propname, textarea.value);
+          fDoneWith();
+        });
+        panel22.alt_content.appendChild(assign2);
+        var button = panel22.addButton("Close", fDoneWith);
+        button.style.float = "right";
+        panel22.alt_content.appendChild(button);
+      };
+      inner_refresh();
+      this.canvas.parentNode.appendChild(panel22);
+    }
+    showSubgraphPropertiesDialog(node22) {
+      console.log("showing subgraph properties dialog");
+      var old_panel = this.canvas.parentNode.querySelector(".subgraph_dialog");
+      if (old_panel)
+        old_panel.close();
+      var panel22 = this.createPanel("Subgraph Inputs", { closable: true, width: 500 });
+      panel22.node = node22;
+      panel22.classList.add("subgraph_dialog");
+      function inner_refresh() {
+        panel22.clear();
+        if (node22.inputs)
+          for (var i2 = 0; i2 < node22.inputs.length; ++i2) {
+            var input = node22.inputs[i2];
+            if (input.not_subgraph_input)
+              continue;
+            var html2 = "<button>&#10005;</button> <span class='bullet_icon'></span><span class='name'></span><span class='type'></span>";
+            var elem2 = panel22.addHTML(html2, "subgraph_property");
+            elem2.dataset["name"] = input.name;
+            elem2.dataset["slot"] = i2;
+            elem2.querySelector(".name").innerText = input.name;
+            elem2.querySelector(".type").innerText = input.type;
+            elem2.querySelector("button").addEventListener("click", function(e) {
+              node22.removeInput(Number(this.parentNode.dataset["slot"]));
+              inner_refresh();
+            });
+          }
+      }
+      __name(inner_refresh, "inner_refresh");
+      var html = " + <span class='label'>Name</span><input class='name'/><span class='label'>Type</span><input class='type'></input><button>+</button>";
+      var elem = panel22.addHTML(html, "subgraph_property extra", true);
+      elem.querySelector("button").addEventListener("click", function(e) {
+        var elem2 = this.parentNode;
+        var name = elem2.querySelector(".name").value;
+        var type = elem2.querySelector(".type").value;
+        if (!name || node22.findInputSlot(name) != -1)
+          return;
+        node22.addInput(name, type);
+        elem2.querySelector(".name").value = "";
+        elem2.querySelector(".type").value = "";
+        inner_refresh();
+      });
+      inner_refresh();
+      this.canvas.parentNode.appendChild(panel22);
+      return panel22;
+    }
+    showSubgraphPropertiesDialogRight(node22) {
+      var old_panel = this.canvas.parentNode.querySelector(".subgraph_dialog");
+      if (old_panel)
+        old_panel.close();
+      var panel22 = this.createPanel("Subgraph Outputs", { closable: true, width: 500 });
+      panel22.node = node22;
+      panel22.classList.add("subgraph_dialog");
+      function inner_refresh() {
+        panel22.clear();
+        if (node22.outputs)
+          for (var i2 = 0; i2 < node22.outputs.length; ++i2) {
+            var input = node22.outputs[i2];
+            if (input.not_subgraph_output)
+              continue;
+            var html2 = "<button>&#10005;</button> <span class='bullet_icon'></span><span class='name'></span><span class='type'></span>";
+            var elem2 = panel22.addHTML(html2, "subgraph_property");
+            elem2.dataset["name"] = input.name;
+            elem2.dataset["slot"] = i2;
+            elem2.querySelector(".name").innerText = input.name;
+            elem2.querySelector(".type").innerText = input.type;
+            elem2.querySelector("button").addEventListener("click", function(e) {
+              node22.removeOutput(Number(this.parentNode.dataset["slot"]));
+              inner_refresh();
+            });
+          }
+      }
+      __name(inner_refresh, "inner_refresh");
+      var html = " + <span class='label'>Name</span><input class='name'/><span class='label'>Type</span><input class='type'></input><button>+</button>";
+      var elem = panel22.addHTML(html, "subgraph_property extra", true);
+      elem.querySelector(".name").addEventListener("keydown", function(e) {
+        if (e.keyCode == 13) {
+          addOutput.apply(this);
+        }
+      });
+      elem.querySelector("button").addEventListener("click", function(e) {
+        addOutput.apply(this);
+      });
+      function addOutput() {
+        var elem2 = this.parentNode;
+        var name = elem2.querySelector(".name").value;
+        var type = elem2.querySelector(".type").value;
+        if (!name || node22.findOutputSlot(name) != -1)
+          return;
+        node22.addOutput(name, type);
+        elem2.querySelector(".name").value = "";
+        elem2.querySelector(".type").value = "";
+        inner_refresh();
+      }
+      __name(addOutput, "addOutput");
+      inner_refresh();
+      this.canvas.parentNode.appendChild(panel22);
+      return panel22;
+    }
+    checkPanels() {
+      if (!this.canvas)
+        return;
+      var panels2 = this.canvas.parentNode.querySelectorAll(".litegraph.dialog");
+      for (var i2 = 0; i2 < panels2.length; ++i2) {
+        var panel22 = panels2[i2];
+        if (!panel22.node)
+          continue;
+        if (!panel22.node.graph || panel22.graph != this.graph)
+          panel22.close();
+      }
+    }
+    getCanvasMenuOptions() {
+      var options3 = null;
+      if (this.getMenuOptions) {
+        options3 = this.getMenuOptions();
+      } else {
+        options3 = [
+          {
+            content: "Add Node",
+            has_submenu: true,
+            callback: __LGraphCanvas.onMenuAdd
+          },
+          { content: "Add Group", callback: __LGraphCanvas.onGroupAdd }
+          //{ content: "Arrange", callback: that.graph.arrange },
+          //{content:"Collapse All", callback: LGraphCanvas.onMenuCollapseAll }
+        ];
+        if (Object.keys(this.selected_nodes).length > 1) {
+          options3.push({
+            content: "Align",
+            has_submenu: true,
+            callback: __LGraphCanvas.onGroupAlign
+          });
+        }
+        if (this._graph_stack && this._graph_stack.length > 0) {
+          options3.push(null, {
+            content: "Close subgraph",
+            callback: this.closeSubgraph.bind(this)
+          });
+        }
+      }
+      if (this.getExtraMenuOptions) {
+        var extra = this.getExtraMenuOptions(this, options3);
+        if (extra) {
+          options3 = options3.concat(extra);
+        }
+      }
+      return options3;
+    }
+    //called by processContextMenu to extract the menu list
+    getNodeMenuOptions(node22) {
+      var _a;
+      var options3 = null;
+      if (node22.getMenuOptions) {
+        options3 = node22.getMenuOptions(this);
+      } else {
+        options3 = [
+          {
+            content: "Inputs",
+            has_submenu: true,
+            disabled: true,
+            callback: __LGraphCanvas.showMenuNodeOptionalInputs
+          },
+          {
+            content: "Outputs",
+            has_submenu: true,
+            disabled: true,
+            callback: __LGraphCanvas.showMenuNodeOptionalOutputs
+          },
+          null,
+          {
+            content: "Properties",
+            has_submenu: true,
+            callback: __LGraphCanvas.onShowMenuNodeProperties
+          },
+          {
+            content: "Properties Panel",
+            callback: /* @__PURE__ */ __name(function(item2, options22, e, menu, node3) {
+              __LGraphCanvas.active_canvas.showShowNodePanel(node3);
+            }, "callback")
+          },
+          null,
+          {
+            content: "Title",
+            callback: __LGraphCanvas.onShowPropertyEditor
+          },
+          {
+            content: "Mode",
+            has_submenu: true,
+            callback: __LGraphCanvas.onMenuNodeMode
+          }
+        ];
+        if (node22.resizable !== false) {
+          options3.push({
+            content: "Resize",
+            callback: __LGraphCanvas.onMenuResizeNode
+          });
+        }
+        options3.push(
+          {
+            content: "Collapse",
+            callback: __LGraphCanvas.onMenuNodeCollapse
+          },
+          {
+            content: ((_a = node22.flags) == null ? void 0 : _a.pinned) ? "Unpin" : "Pin",
+            callback: __LGraphCanvas.onMenuNodePin
+          },
+          {
+            content: "Colors",
+            has_submenu: true,
+            callback: __LGraphCanvas.onMenuNodeColors
+          },
+          {
+            content: "Shapes",
+            has_submenu: true,
+            callback: __LGraphCanvas.onMenuNodeShapes
+          },
+          null
+        );
+      }
+      if (node22.onGetInputs) {
+        var inputs = node22.onGetInputs();
+        if (inputs && inputs.length) {
+          options3[0].disabled = false;
+        }
+      }
+      if (node22.onGetOutputs) {
+        var outputs = node22.onGetOutputs();
+        if (outputs && outputs.length) {
+          options3[1].disabled = false;
+        }
+      }
+      if (node22.getExtraMenuOptions) {
+        var extra = node22.getExtraMenuOptions(this, options3);
+        if (extra) {
+          extra.push(null);
+          options3 = extra.concat(options3);
+        }
+      }
+      if (node22.clonable !== false) {
+        options3.push({
+          content: "Clone",
+          callback: __LGraphCanvas.onMenuNodeClone
+        });
+      }
+      if (Object.keys(this.selected_nodes).length > 1) {
+        options3.push({
+          content: "Align Selected To",
+          has_submenu: true,
+          callback: __LGraphCanvas.onNodeAlign
+        });
+      }
+      options3.push(null, {
+        content: "Remove",
+        disabled: !(node22.removable !== false && !node22.block_delete),
+        callback: __LGraphCanvas.onMenuNodeRemove
+      });
+      if (node22.graph && node22.graph.onGetNodeMenuOptions) {
+        node22.graph.onGetNodeMenuOptions(options3, node22);
+      }
+      return options3;
+    }
+    getGroupMenuOptions(node22) {
+      var o = [
+        { content: "Title", callback: __LGraphCanvas.onShowPropertyEditor },
+        {
+          content: "Color",
+          has_submenu: true,
+          callback: __LGraphCanvas.onMenuNodeColors
+        },
+        {
+          content: "Font size",
+          property: "font_size",
+          type: "Number",
+          callback: __LGraphCanvas.onShowPropertyEditor
+        },
+        null,
+        { content: "Remove", callback: __LGraphCanvas.onMenuNodeRemove }
+      ];
+      return o;
+    }
+    processContextMenu(node22, event2) {
+      var that2 = this;
+      var canvas = __LGraphCanvas.active_canvas;
+      var ref_window2 = canvas.getCanvasWindow();
+      var menu_info = null;
+      var options3 = {
+        event: event2,
+        callback: inner_option_clicked,
+        extra: node22
+      };
+      if (node22)
+        options3.title = node22.type;
+      var slot = null;
+      if (node22) {
+        slot = node22.getSlotInPosition(event2.canvasX, event2.canvasY);
+        __LGraphCanvas.active_node = node22;
+      }
+      if (slot) {
+        menu_info = [];
+        if (node22.getSlotMenuOptions) {
+          menu_info = node22.getSlotMenuOptions(slot);
+        } else {
+          if (slot && slot.output && slot.output.links && slot.output.links.length) {
+            menu_info.push({ content: "Disconnect Links", slot });
+          }
+          var _slot = slot.input || slot.output;
+          if (_slot.removable) {
+            menu_info.push(
+              _slot.locked ? "Cannot remove" : { content: "Remove Slot", slot }
+            );
+          }
+          if (!_slot.nameLocked) {
+            menu_info.push({ content: "Rename Slot", slot });
+          }
+        }
+        options3.title = (slot.input ? slot.input.type : slot.output.type) || "*";
+        if (slot.input && slot.input.type == LiteGraph.ACTION) {
+          options3.title = "Action";
+        }
+        if (slot.output && slot.output.type == LiteGraph.EVENT) {
+          options3.title = "Event";
+        }
+      } else {
+        if (node22) {
+          menu_info = this.getNodeMenuOptions(node22);
+        } else {
+          menu_info = this.getCanvasMenuOptions();
+          var group = this.graph.getGroupOnPos(
+            event2.canvasX,
+            event2.canvasY
+          );
+          if (group) {
+            menu_info.push(null, {
+              content: "Edit Group",
+              has_submenu: true,
+              submenu: {
+                title: "Group",
+                extra: group,
+                options: this.getGroupMenuOptions(group)
+              }
+            });
+          }
+        }
+      }
+      if (!menu_info) {
+        return;
+      }
+      new LiteGraph.ContextMenu(menu_info, options3, ref_window2);
+      function inner_option_clicked(v2, options22, e) {
+        if (!v2) {
+          return;
+        }
+        if (v2.content == "Remove Slot") {
+          var info = v2.slot;
+          node22.graph.beforeChange();
+          if (info.input) {
+            node22.removeInput(info.slot);
+          } else if (info.output) {
+            node22.removeOutput(info.slot);
+          }
+          node22.graph.afterChange();
+          return;
+        } else if (v2.content == "Disconnect Links") {
+          var info = v2.slot;
+          node22.graph.beforeChange();
+          if (info.output) {
+            node22.disconnectOutput(info.slot);
+          } else if (info.input) {
+            node22.disconnectInput(info.slot);
+          }
+          node22.graph.afterChange();
+          return;
+        } else if (v2.content == "Rename Slot") {
+          var info = v2.slot;
+          var slot_info = info.input ? node22.getInputInfo(info.slot) : node22.getOutputInfo(info.slot);
+          var dialog = that2.createDialog(
+            "<span class='name'>Name</span><input autofocus type='text'/><button>OK</button>",
+            options22
+          );
+          var input = dialog.querySelector("input");
+          if (input && slot_info) {
+            input.value = slot_info.label || "";
+          }
+          var inner = /* @__PURE__ */ __name(function() {
+            node22.graph.beforeChange();
+            if (input.value) {
+              if (slot_info) {
+                slot_info.label = input.value;
+              }
+              that2.setDirty(true);
+            }
+            dialog.close();
+            node22.graph.afterChange();
+          }, "inner");
+          dialog.querySelector("button").addEventListener("click", inner);
+          input.addEventListener("keydown", function(e2) {
+            dialog.is_modified = true;
+            if (e2.keyCode == 27) {
+              dialog.close();
+            } else if (e2.keyCode == 13) {
+              inner();
+            } else if (e2.keyCode != 13 && e2.target.localName != "textarea") {
+              return;
+            }
+            e2.preventDefault();
+            e2.stopPropagation();
+          });
+          input.focus();
+        }
+      }
+      __name(inner_option_clicked, "inner_option_clicked");
+    }
+  };
+  _temp = /* @__PURE__ */ new WeakMap();
+  _temp_vec2 = /* @__PURE__ */ new WeakMap();
+  _tmp_area = /* @__PURE__ */ new WeakMap();
+  _margin_area = /* @__PURE__ */ new WeakMap();
+  _link_bounding = /* @__PURE__ */ new WeakMap();
+  _tempA = /* @__PURE__ */ new WeakMap();
+  _tempB = /* @__PURE__ */ new WeakMap();
+  __privateAdd(_LGraphCanvas, _temp, new Float32Array(4));
+  __privateAdd(_LGraphCanvas, _temp_vec2, new Float32Array(2));
+  __privateAdd(_LGraphCanvas, _tmp_area, new Float32Array(4));
+  __privateAdd(_LGraphCanvas, _margin_area, new Float32Array(4));
+  __privateAdd(_LGraphCanvas, _link_bounding, new Float32Array(4));
+  __privateAdd(_LGraphCanvas, _tempA, new Float32Array(2));
+  __privateAdd(_LGraphCanvas, _tempB, new Float32Array(2));
+  __publicField(_LGraphCanvas, "DEFAULT_BACKGROUND_IMAGE", "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGQAAABkCAIAAAD/gAIDAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAQBJREFUeNrs1rEKwjAUhlETUkj3vP9rdmr1Ysammk2w5wdxuLgcMHyptfawuZX4pJSWZTnfnu/lnIe/jNNxHHGNn//HNbbv+4dr6V+11uF527arU7+u63qfa/bnmh8sWLBgwYJlqRf8MEptXPBXJXa37BSl3ixYsGDBMliwFLyCV/DeLIMFCxYsWLBMwSt4Be/NggXLYMGCBUvBK3iNruC9WbBgwYJlsGApeAWv4L1ZBgsWLFiwYJmCV/AK3psFC5bBggULloJX8BpdwXuzYMGCBctgwVLwCl7Be7MMFixYsGDBsu8FH1FaSmExVfAxBa/gvVmwYMGCZbBg/W4vAQYA5tRF9QYlv/QAAAAASUVORK5CYII=");
+  __publicField(_LGraphCanvas, "link_type_colors", {
+    "-1": LiteGraph.EVENT_LINK_COLOR,
+    number: "#AAA",
+    node: "#DCA"
+  });
+  __publicField(_LGraphCanvas, "gradients", {});
+  __publicField(_LGraphCanvas, "search_limit", -1);
+  __publicField(_LGraphCanvas, "node_colors", {
+    red: { color: "#322", bgcolor: "#533", groupcolor: "#A88" },
+    brown: { color: "#332922", bgcolor: "#593930", groupcolor: "#b06634" },
+    green: { color: "#232", bgcolor: "#353", groupcolor: "#8A8" },
+    blue: { color: "#223", bgcolor: "#335", groupcolor: "#88A" },
+    pale_blue: {
+      color: "#2a363b",
+      bgcolor: "#3f5159",
+      groupcolor: "#3f789e"
+    },
+    cyan: { color: "#233", bgcolor: "#355", groupcolor: "#8AA" },
+    purple: { color: "#323", bgcolor: "#535", groupcolor: "#a1309b" },
+    yellow: { color: "#432", bgcolor: "#653", groupcolor: "#b58b2a" },
+    black: { color: "#222", bgcolor: "#000", groupcolor: "#444" }
+  });
+  let LGraphCanvas = _LGraphCanvas;
+  globalThis.LGraphCanvas = LiteGraph.LGraphCanvas = LGraphCanvas;
+  if (typeof window != "undefined" && window.CanvasRenderingContext2D && !window.CanvasRenderingContext2D.prototype.roundRect) {
+    window.CanvasRenderingContext2D.prototype.roundRect = function(x2, y2, w2, h2, radius, radius_low) {
+      var top_left_radius = 0;
+      var top_right_radius = 0;
+      var bottom_left_radius = 0;
+      var bottom_right_radius = 0;
+      if (radius === 0) {
+        this.rect(x2, y2, w2, h2);
+        return;
+      }
+      if (radius_low === void 0)
+        radius_low = radius;
+      if (radius != null && radius.constructor === Array) {
+        if (radius.length == 1)
+          top_left_radius = top_right_radius = bottom_left_radius = bottom_right_radius = radius[0];
+        else if (radius.length == 2) {
+          top_left_radius = bottom_right_radius = radius[0];
+          top_right_radius = bottom_left_radius = radius[1];
+        } else if (radius.length == 4) {
+          top_left_radius = radius[0];
+          top_right_radius = radius[1];
+          bottom_left_radius = radius[2];
+          bottom_right_radius = radius[3];
+        } else
+          return;
+      } else {
+        top_left_radius = radius || 0;
+        top_right_radius = radius || 0;
+        bottom_left_radius = radius_low || 0;
+        bottom_right_radius = radius_low || 0;
+      }
+      this.moveTo(x2 + top_left_radius, y2);
+      this.lineTo(x2 + w2 - top_right_radius, y2);
+      this.quadraticCurveTo(x2 + w2, y2, x2 + w2, y2 + top_right_radius);
+      this.lineTo(x2 + w2, y2 + h2 - bottom_right_radius);
+      this.quadraticCurveTo(
+        x2 + w2,
+        y2 + h2,
+        x2 + w2 - bottom_right_radius,
+        y2 + h2
+      );
+      this.lineTo(x2 + bottom_right_radius, y2 + h2);
+      this.quadraticCurveTo(x2, y2 + h2, x2, y2 + h2 - bottom_left_radius);
+      this.lineTo(x2, y2 + bottom_left_radius);
+      this.quadraticCurveTo(x2, y2, x2 + top_left_radius, y2);
+    };
+  }
+  function compareObjects(a, b) {
+    for (var i2 in a) {
+      if (a[i2] != b[i2]) {
+        return false;
+      }
+    }
+    return true;
+  }
+  __name(compareObjects, "compareObjects");
+  LiteGraph.compareObjects = compareObjects;
+  function distance(a, b) {
+    return Math.sqrt(
+      (b[0] - a[0]) * (b[0] - a[0]) + (b[1] - a[1]) * (b[1] - a[1])
+    );
+  }
+  __name(distance, "distance");
+  LiteGraph.distance = distance;
+  function colorToString(c) {
+    return "rgba(" + Math.round(c[0] * 255).toFixed() + "," + Math.round(c[1] * 255).toFixed() + "," + Math.round(c[2] * 255).toFixed() + "," + (c.length == 4 ? c[3].toFixed(2) : "1.0") + ")";
+  }
+  __name(colorToString, "colorToString");
+  LiteGraph.colorToString = colorToString;
+  function isInsideRectangle(x2, y2, left, top, width2, height) {
+    if (left < x2 && left + width2 > x2 && top < y2 && top + height > y2) {
+      return true;
+    }
+    return false;
+  }
+  __name(isInsideRectangle, "isInsideRectangle");
+  LiteGraph.isInsideRectangle = isInsideRectangle;
+  function growBounding(bounding, x2, y2) {
+    if (x2 < bounding[0]) {
+      bounding[0] = x2;
+    } else if (x2 > bounding[2]) {
+      bounding[2] = x2;
+    }
+    if (y2 < bounding[1]) {
+      bounding[1] = y2;
+    } else if (y2 > bounding[3]) {
+      bounding[3] = y2;
+    }
+  }
+  __name(growBounding, "growBounding");
+  LiteGraph.growBounding = growBounding;
+  function isInsideBounding(p2, bb) {
+    if (p2[0] < bb[0][0] || p2[1] < bb[0][1] || p2[0] > bb[1][0] || p2[1] > bb[1][1]) {
+      return false;
+    }
+    return true;
+  }
+  __name(isInsideBounding, "isInsideBounding");
+  LiteGraph.isInsideBounding = isInsideBounding;
+  function overlapBounding(a, b) {
+    var A_end_x = a[0] + a[2];
+    var A_end_y = a[1] + a[3];
+    var B_end_x = b[0] + b[2];
+    var B_end_y = b[1] + b[3];
+    if (a[0] > B_end_x || a[1] > B_end_y || A_end_x < b[0] || A_end_y < b[1]) {
+      return false;
+    }
+    return true;
+  }
+  __name(overlapBounding, "overlapBounding");
+  LiteGraph.overlapBounding = overlapBounding;
+  function hex2num(hex) {
+    if (hex.charAt(0) == "#") {
+      hex = hex.slice(1);
+    }
+    hex = hex.toUpperCase();
+    var hex_alphabets = "0123456789ABCDEF";
+    var value3 = new Array(3);
+    var k = 0;
+    var int1, int2;
+    for (var i2 = 0; i2 < 6; i2 += 2) {
+      int1 = hex_alphabets.indexOf(hex.charAt(i2));
+      int2 = hex_alphabets.indexOf(hex.charAt(i2 + 1));
+      value3[k] = int1 * 16 + int2;
+      k++;
+    }
+    return value3;
+  }
+  __name(hex2num, "hex2num");
+  LiteGraph.hex2num = hex2num;
+  function num2hex(triplet) {
+    var hex_alphabets = "0123456789ABCDEF";
+    var hex = "#";
+    var int1, int2;
+    for (var i2 = 0; i2 < 3; i2++) {
+      int1 = triplet[i2] / 16;
+      int2 = triplet[i2] % 16;
+      hex += hex_alphabets.charAt(int1) + hex_alphabets.charAt(int2);
+    }
+    return hex;
+  }
+  __name(num2hex, "num2hex");
+  LiteGraph.num2hex = num2hex;
+  function ContextMenu(values2, options3) {
+    options3 = options3 || {};
+    this.options = options3;
+    var that2 = this;
+    if (options3.parentMenu) {
+      if (options3.parentMenu.constructor !== this.constructor) {
+        console.error(
+          "parentMenu must be of class ContextMenu, ignoring it"
+        );
+        options3.parentMenu = null;
+      } else {
+        this.parentMenu = options3.parentMenu;
+        this.parentMenu.lock = true;
+        this.parentMenu.current_submenu = this;
+      }
+    }
+    var eventClass = null;
+    if (options3.event)
+      eventClass = options3.event.constructor.name;
+    if (eventClass !== "MouseEvent" && eventClass !== "CustomEvent" && eventClass !== "PointerEvent") {
+      console.error(
+        "Event passed to ContextMenu is not of type MouseEvent or CustomEvent. Ignoring it. (" + eventClass + ")"
+      );
+      options3.event = null;
+    }
+    var root26 = document.createElement("div");
+    root26.className = "litegraph litecontextmenu litemenubar-panel";
+    if (options3.className) {
+      root26.className += " " + options3.className;
+    }
+    root26.style.minWidth = 100;
+    root26.style.minHeight = 100;
+    root26.style.pointerEvents = "none";
+    setTimeout(function() {
+      root26.style.pointerEvents = "auto";
+    }, 100);
+    LiteGraph.pointerListenerAdd(
+      root26,
+      "up",
+      function(e) {
+        e.preventDefault();
+        return true;
+      },
+      true
+    );
+    root26.addEventListener(
+      "contextmenu",
+      function(e) {
+        if (e.button != 2) {
+          return false;
+        }
+        e.preventDefault();
+        return false;
+      },
+      true
+    );
+    LiteGraph.pointerListenerAdd(
+      root26,
+      "down",
+      function(e) {
+        if (e.button == 2) {
+          that2.close();
+          e.preventDefault();
+          return true;
+        }
+      },
+      true
+    );
+    function on_mouse_wheel(e) {
+      var pos2 = parseInt(root26.style.top);
+      root26.style.top = (pos2 + e.deltaY * options3.scroll_speed).toFixed() + "px";
+      e.preventDefault();
+      return true;
+    }
+    __name(on_mouse_wheel, "on_mouse_wheel");
+    if (!options3.scroll_speed) {
+      options3.scroll_speed = 0.1;
+    }
+    root26.addEventListener("wheel", on_mouse_wheel, true);
+    root26.addEventListener("mousewheel", on_mouse_wheel, true);
+    this.root = root26;
+    if (options3.title) {
+      var element = document.createElement("div");
+      element.className = "litemenu-title";
+      element.innerHTML = options3.title;
+      root26.appendChild(element);
+    }
+    for (var i2 = 0; i2 < values2.length; i2++) {
+      var name = values2.constructor == Array ? values2[i2] : i2;
+      if (name != null && name.constructor !== String) {
+        name = name.content === void 0 ? String(name) : name.content;
+      }
+      var value3 = values2[i2];
+      this.addItem(name, value3, options3);
+    }
+    LiteGraph.pointerListenerAdd(root26, "enter", function(e) {
+      if (root26.closing_timer) {
+        clearTimeout(root26.closing_timer);
+      }
+    });
+    var root_document = document;
+    if (options3.event) {
+      root_document = options3.event.target.ownerDocument;
+    }
+    if (!root_document) {
+      root_document = document;
+    }
+    if (root_document.fullscreenElement)
+      root_document.fullscreenElement.appendChild(root26);
+    else
+      root_document.body.appendChild(root26);
+    var left = options3.left || 0;
+    var top = options3.top || 0;
+    if (options3.event) {
+      left = options3.event.clientX - 10;
+      top = options3.event.clientY - 10;
+      if (options3.title) {
+        top -= 20;
+      }
+      if (options3.parentMenu) {
+        var rect = options3.parentMenu.root.getBoundingClientRect();
+        left = rect.left + rect.width;
+      }
+      var body_rect = document.body.getBoundingClientRect();
+      var root_rect = root26.getBoundingClientRect();
+      if (body_rect.height == 0)
+        console.error("document.body height is 0. That is dangerous, set html,body { height: 100%; }");
+      if (body_rect.width && left > body_rect.width - root_rect.width - 10) {
+        left = body_rect.width - root_rect.width - 10;
+      }
+      if (body_rect.height && top > body_rect.height - root_rect.height - 10) {
+        top = body_rect.height - root_rect.height - 10;
+      }
+    }
+    root26.style.left = left + "px";
+    root26.style.top = top + "px";
+    if (options3.scale) {
+      root26.style.transform = "scale(" + options3.scale + ")";
+    }
+  }
+  __name(ContextMenu, "ContextMenu");
+  ContextMenu.prototype.addItem = function(name, value3, options3) {
+    var that2 = this;
+    options3 = options3 || {};
+    var element = document.createElement("div");
+    element.className = "litemenu-entry submenu";
+    var disabled2 = false;
+    if (value3 === null) {
+      element.classList.add("separator");
+    } else {
+      element.innerHTML = value3 && value3.title ? value3.title : name;
+      element.value = value3;
+      element.setAttribute("role", "menuitem");
+      if (value3) {
+        if (value3.disabled) {
+          disabled2 = true;
+          element.classList.add("disabled");
+          element.setAttribute("aria-disabled", "true");
+        }
+        if (value3.submenu || value3.has_submenu) {
+          element.classList.add("has_submenu");
+          element.setAttribute("aria-haspopup", "true");
+          element.setAttribute("aria-expanded", "false");
+        }
+      }
+      if (typeof value3 == "function") {
+        element.dataset["value"] = name;
+        element.onclick_callback = value3;
+      } else {
+        element.dataset["value"] = value3;
+      }
+      if (value3.className) {
+        element.className += " " + value3.className;
+      }
+    }
+    this.root.appendChild(element);
+    if (!disabled2) {
+      element.addEventListener("click", inner_onclick);
+    }
+    if (!disabled2 && options3.autoopen) {
+      LiteGraph.pointerListenerAdd(element, "enter", inner_over);
+    }
+    function setAriaExpanded() {
+      const entries = that2.root.querySelectorAll("div.litemenu-entry.has_submenu");
+      if (entries) {
+        for (let i2 = 0; i2 < entries.length; i2++) {
+          entries[i2].setAttribute("aria-expanded", "false");
+        }
+      }
+      element.setAttribute("aria-expanded", "true");
+    }
+    __name(setAriaExpanded, "setAriaExpanded");
+    function inner_over(e) {
+      var value22 = this.value;
+      if (!value22 || !value22.has_submenu) {
+        return;
+      }
+      inner_onclick.call(this, e);
+      setAriaExpanded();
+    }
+    __name(inner_over, "inner_over");
+    function inner_onclick(e) {
+      var value22 = this.value;
+      var close_parent = true;
+      if (that2.current_submenu) {
+        that2.current_submenu.close(e);
+      }
+      if ((value22 == null ? void 0 : value22.has_submenu) || (value22 == null ? void 0 : value22.submenu)) {
+        setAriaExpanded();
+      }
+      if (options3.callback) {
+        var r = options3.callback.call(
+          this,
+          value22,
+          options3,
+          e,
+          that2,
+          options3.node
+        );
+        if (r === true) {
+          close_parent = false;
+        }
+      }
+      if (value22) {
+        if (value22.callback && !options3.ignore_item_callbacks && value22.disabled !== true) {
+          var r = value22.callback.call(
+            this,
+            value22,
+            options3,
+            e,
+            that2,
+            options3.extra
+          );
+          if (r === true) {
+            close_parent = false;
+          }
+        }
+        if (value22.submenu) {
+          if (!value22.submenu.options) {
+            throw "ContextMenu submenu needs options";
+          }
+          new that2.constructor(value22.submenu.options, {
+            callback: value22.submenu.callback,
+            event: e,
+            parentMenu: that2,
+            ignore_item_callbacks: value22.submenu.ignore_item_callbacks,
+            title: value22.submenu.title,
+            extra: value22.submenu.extra,
+            autoopen: options3.autoopen
+          });
+          close_parent = false;
+        }
+      }
+      if (close_parent && !that2.lock) {
+        that2.close();
+      }
+    }
+    __name(inner_onclick, "inner_onclick");
+    return element;
+  };
+  ContextMenu.prototype.close = function(e, ignore_parent_menu) {
+    if (this.root.parentNode) {
+      this.root.parentNode.removeChild(this.root);
+    }
+    if (this.parentMenu && !ignore_parent_menu) {
+      this.parentMenu.lock = false;
+      this.parentMenu.current_submenu = null;
+      if (e === void 0) {
+        this.parentMenu.close();
+      } else if (e && !ContextMenu.isCursorOverElement(e, this.parentMenu.root)) {
+        ContextMenu.trigger(this.parentMenu.root, LiteGraph.pointerevents_method + "leave", e);
+      }
+    }
+    if (this.current_submenu) {
+      this.current_submenu.close(e, true);
+    }
+    if (this.root.closing_timer) {
+      clearTimeout(this.root.closing_timer);
+    }
+  };
+  ContextMenu.trigger = function(element, event_name, params, origin2) {
+    var evt = document.createEvent("CustomEvent");
+    evt.initCustomEvent(event_name, true, true, params);
+    evt.srcElement = origin2;
+    if (element.dispatchEvent) {
+      element.dispatchEvent(evt);
+    } else if (element.__events) {
+      element.__events.dispatchEvent(evt);
+    }
+    return evt;
+  };
+  ContextMenu.prototype.getTopMenu = function() {
+    if (this.options.parentMenu) {
+      return this.options.parentMenu.getTopMenu();
+    }
+    return this;
+  };
+  ContextMenu.prototype.getFirstEvent = function() {
+    if (this.options.parentMenu) {
+      return this.options.parentMenu.getFirstEvent();
+    }
+    return this.options.event;
+  };
+  ContextMenu.isCursorOverElement = function(event2, element) {
+    var left = event2.clientX;
+    var top = event2.clientY;
+    var rect = element.getBoundingClientRect();
+    if (!rect) {
+      return false;
+    }
+    if (top > rect.top && top < rect.top + rect.height && left > rect.left && left < rect.left + rect.width) {
+      return true;
+    }
+    return false;
+  };
+  LiteGraph.ContextMenu = ContextMenu;
+  LiteGraph.closeAllContextMenus = function(ref_window2) {
+    ref_window2 = ref_window2 || window;
+    var elements = ref_window2.document.querySelectorAll(".litecontextmenu");
+    if (!elements.length) {
+      return;
+    }
+    var result = [];
+    for (var i2 = 0; i2 < elements.length; i2++) {
+      result.push(elements[i2]);
+    }
+    for (var i2 = 0; i2 < result.length; i2++) {
+      if (result[i2].close) {
+        result[i2].close();
+      } else if (result[i2].parentNode) {
+        result[i2].parentNode.removeChild(result[i2]);
+      }
+    }
+  };
+  LiteGraph.extendClass = function(target, origin2) {
+    for (var i2 in origin2) {
+      if (target.hasOwnProperty(i2)) {
+        continue;
+      }
+      target[i2] = origin2[i2];
+    }
+    if (origin2.prototype) {
+      for (var i2 in origin2.prototype) {
+        if (!origin2.prototype.hasOwnProperty(i2)) {
+          continue;
+        }
+        if (target.prototype.hasOwnProperty(i2)) {
+          continue;
+        }
+        if (origin2.prototype.__lookupGetter__(i2)) {
+          target.prototype.__defineGetter__(
+            i2,
+            origin2.prototype.__lookupGetter__(i2)
+          );
+        } else {
+          target.prototype[i2] = origin2.prototype[i2];
+        }
+        if (origin2.prototype.__lookupSetter__(i2)) {
+          target.prototype.__defineSetter__(
+            i2,
+            origin2.prototype.__lookupSetter__(i2)
+          );
+        }
+      }
+    }
+  };
+  function CurveEditor(points) {
+    this.points = points;
+    this.selected = -1;
+    this.nearest = -1;
+    this.size = null;
+    this.must_update = true;
+    this.margin = 5;
+  }
+  __name(CurveEditor, "CurveEditor");
+  CurveEditor.sampleCurve = function(f, points) {
+    if (!points)
+      return;
+    for (var i2 = 0; i2 < points.length - 1; ++i2) {
+      var p2 = points[i2];
+      var pn = points[i2 + 1];
+      if (pn[0] < f)
+        continue;
+      var r = pn[0] - p2[0];
+      if (Math.abs(r) < 1e-5)
+        return p2[1];
+      var local_f = (f - p2[0]) / r;
+      return p2[1] * (1 - local_f) + pn[1] * local_f;
+    }
+    return 0;
+  };
+  CurveEditor.prototype.draw = function(ctx, size2, graphcanvas, background_color, line_color, inactive) {
+    var points = this.points;
+    if (!points)
+      return;
+    this.size = size2;
+    var w2 = size2[0] - this.margin * 2;
+    var h2 = size2[1] - this.margin * 2;
+    line_color = line_color || "#666";
+    ctx.save();
+    ctx.translate(this.margin, this.margin);
+    if (background_color) {
+      ctx.fillStyle = "#111";
+      ctx.fillRect(0, 0, w2, h2);
+      ctx.fillStyle = "#222";
+      ctx.fillRect(w2 * 0.5, 0, 1, h2);
+      ctx.strokeStyle = "#333";
+      ctx.strokeRect(0, 0, w2, h2);
+    }
+    ctx.strokeStyle = line_color;
+    if (inactive)
+      ctx.globalAlpha = 0.5;
+    ctx.beginPath();
+    for (var i2 = 0; i2 < points.length; ++i2) {
+      var p2 = points[i2];
+      ctx.lineTo(p2[0] * w2, (1 - p2[1]) * h2);
+    }
+    ctx.stroke();
+    ctx.globalAlpha = 1;
+    if (!inactive)
+      for (var i2 = 0; i2 < points.length; ++i2) {
+        var p2 = points[i2];
+        ctx.fillStyle = this.selected == i2 ? "#FFF" : this.nearest == i2 ? "#DDD" : "#AAA";
+        ctx.beginPath();
+        ctx.arc(p2[0] * w2, (1 - p2[1]) * h2, 2, 0, Math.PI * 2);
+        ctx.fill();
+      }
+    ctx.restore();
+  };
+  CurveEditor.prototype.onMouseDown = function(localpos, graphcanvas) {
+    var points = this.points;
+    if (!points)
+      return;
+    if (localpos[1] < 0)
+      return;
+    var w2 = this.size[0] - this.margin * 2;
+    var h2 = this.size[1] - this.margin * 2;
+    var x2 = localpos[0] - this.margin;
+    var y2 = localpos[1] - this.margin;
+    var pos2 = [x2, y2];
+    var max_dist = 30 / graphcanvas.ds.scale;
+    this.selected = this.getCloserPoint(pos2, max_dist);
+    if (this.selected == -1) {
+      var point = [x2 / w2, 1 - y2 / h2];
+      points.push(point);
+      points.sort(function(a, b) {
+        return a[0] - b[0];
+      });
+      this.selected = points.indexOf(point);
+      this.must_update = true;
+    }
+    if (this.selected != -1)
+      return true;
+  };
+  CurveEditor.prototype.onMouseMove = function(localpos, graphcanvas) {
+    var points = this.points;
+    if (!points)
+      return;
+    var s = this.selected;
+    if (s < 0)
+      return;
+    var x2 = (localpos[0] - this.margin) / (this.size[0] - this.margin * 2);
+    var y2 = (localpos[1] - this.margin) / (this.size[1] - this.margin * 2);
+    var curvepos = [localpos[0] - this.margin, localpos[1] - this.margin];
+    var max_dist = 30 / graphcanvas.ds.scale;
+    this._nearest = this.getCloserPoint(curvepos, max_dist);
+    var point = points[s];
+    if (point) {
+      var is_edge_point = s == 0 || s == points.length - 1;
+      if (!is_edge_point && (localpos[0] < -10 || localpos[0] > this.size[0] + 10 || localpos[1] < -10 || localpos[1] > this.size[1] + 10)) {
+        points.splice(s, 1);
+        this.selected = -1;
+        return;
+      }
+      if (!is_edge_point)
+        point[0] = clamp(x2, 0, 1);
+      else
+        point[0] = s == 0 ? 0 : 1;
+      point[1] = 1 - clamp(y2, 0, 1);
+      points.sort(function(a, b) {
+        return a[0] - b[0];
+      });
+      this.selected = points.indexOf(point);
+      this.must_update = true;
+    }
+  };
+  CurveEditor.prototype.onMouseUp = function(localpos, graphcanvas) {
+    this.selected = -1;
+    return false;
+  };
+  CurveEditor.prototype.getCloserPoint = function(pos2, max_dist) {
+    var points = this.points;
+    if (!points)
+      return -1;
+    max_dist = max_dist || 30;
+    var w2 = this.size[0] - this.margin * 2;
+    var h2 = this.size[1] - this.margin * 2;
+    var num = points.length;
+    var p2 = [0, 0];
+    var min_dist = 1e6;
+    var closest = -1;
+    for (var i2 = 0; i2 < num; ++i2) {
+      var p3 = points[i2];
+      p2[0] = p3[0] * w2;
+      p2[1] = (1 - p3[1]) * h2;
+      if (p2[0] < pos2[0])
+        ;
+      var dist2 = vec2.distance(pos2, p2);
+      if (dist2 > min_dist || dist2 > max_dist)
+        continue;
+      closest = i2;
+      min_dist = dist2;
+    }
+    return closest;
+  };
+  LiteGraph.CurveEditor = CurveEditor;
+  LiteGraph.getParameterNames = function(func) {
+    return (func + "").replace(/[/][/].*$/gm, "").replace(/\s+/g, "").replace(/[/][*][^/*]*[*][/]/g, "").split("){", 1)[0].replace(/^[^(]*[(]/, "").replace(/=[^,]+/g, "").split(",").filter(Boolean);
+  };
+  LiteGraph.pointerListenerAdd = function(oDOM, sEvIn, fCall, capture = false) {
+    if (!oDOM || !oDOM.addEventListener || !sEvIn || typeof fCall !== "function") {
+      return;
+    }
+    var sMethod = LiteGraph.pointerevents_method;
+    var sEvent = sEvIn;
+    if (sMethod == "pointer" && !window.PointerEvent) {
+      console.warn("sMethod=='pointer' && !window.PointerEvent");
+      console.log("Converting pointer[" + sEvent + "] : down move up cancel enter TO touchstart touchmove touchend, etc ..");
+      switch (sEvent) {
+        case "down": {
+          sMethod = "touch";
+          sEvent = "start";
+          break;
+        }
+        case "move": {
+          sMethod = "touch";
+          break;
+        }
+        case "up": {
+          sMethod = "touch";
+          sEvent = "end";
+          break;
+        }
+        case "cancel": {
+          sMethod = "touch";
+          break;
+        }
+        case "enter": {
+          console.log("debug: Should I send a move event?");
+          break;
+        }
+        default: {
+          console.warn("PointerEvent not available in this browser ? The event " + sEvent + " would not be called");
+        }
+      }
+    }
+    switch (sEvent) {
+      case "down":
+      case "up":
+      case "move":
+      case "over":
+      case "out":
+      case "enter": {
+        oDOM.addEventListener(sMethod + sEvent, fCall, capture);
+      }
+      case "leave":
+      case "cancel":
+      case "gotpointercapture":
+      case "lostpointercapture": {
+        if (sMethod != "mouse") {
+          return oDOM.addEventListener(sMethod + sEvent, fCall, capture);
+        }
+      }
+      default:
+        return oDOM.addEventListener(sEvent, fCall, capture);
+    }
+  };
+  LiteGraph.pointerListenerRemove = function(oDOM, sEvent, fCall, capture = false) {
+    if (!oDOM || !oDOM.removeEventListener || !sEvent || typeof fCall !== "function") {
+      return;
+    }
+    switch (sEvent) {
+      case "down":
+      case "up":
+      case "move":
+      case "over":
+      case "out":
+      case "enter": {
+        if (LiteGraph.pointerevents_method == "pointer" || LiteGraph.pointerevents_method == "mouse") {
+          oDOM.removeEventListener(LiteGraph.pointerevents_method + sEvent, fCall, capture);
+        }
+      }
+      case "leave":
+      case "cancel":
+      case "gotpointercapture":
+      case "lostpointercapture": {
+        if (LiteGraph.pointerevents_method == "pointer") {
+          return oDOM.removeEventListener(LiteGraph.pointerevents_method + sEvent, fCall, capture);
+        }
+      }
+      default:
+        return oDOM.removeEventListener(sEvent, fCall, capture);
+    }
+  };
+  function clamp(v2, a, b) {
+    return a > v2 ? a : b < v2 ? b : v2;
+  }
+  __name(clamp, "clamp");
+  globalThis.clamp = clamp;
+  if (typeof window != "undefined" && !window["requestAnimationFrame"]) {
+    window.requestAnimationFrame = window.webkitRequestAnimationFrame || window.mozRequestAnimationFrame || function(callback) {
+      window.setTimeout(callback, 1e3 / 60);
+    };
+  }
+})(globalExport);
+const LiteGraph = globalExport.LiteGraph;
+const LGraph = globalExport.LGraph;
+const LLink = globalExport.LLink;
+const LGraphNode = globalExport.LGraphNode;
+const LGraphGroup = globalExport.LGraphGroup;
+const DragAndScale = globalExport.DragAndScale;
+const LGraphCanvas = globalExport.LGraphCanvas;
+const ContextMenu = globalExport.ContextMenu;
+const ComfyDialog = ComfyDialog$1;
+function $el(tag, propsOrChildren, children) {
+  const split = tag.split(".");
+  const element = document.createElement(split.shift());
+  if (split.length > 0) {
+    element.classList.add(...split);
+  }
+  if (propsOrChildren) {
+    if (typeof propsOrChildren === "string") {
+      propsOrChildren = { textContent: propsOrChildren };
+    } else if (propsOrChildren instanceof Element) {
+      propsOrChildren = [propsOrChildren];
+    }
+    if (Array.isArray(propsOrChildren)) {
+      element.append(...propsOrChildren);
+    } else {
+      const {
+        parent,
+        $: cb,
+        dataset,
+        style,
+        ...rest
+      } = propsOrChildren;
+      if (rest.for) {
+        element.setAttribute("for", rest.for);
+      }
+      if (style) {
+        Object.assign(element.style, style);
+      }
+      if (dataset) {
+        Object.assign(element.dataset, dataset);
+      }
+      Object.assign(element, rest);
+      if (children) {
+        element.append(...Array.isArray(children) ? children : [children]);
+      }
+      if (parent) {
+        parent.append(element);
+      }
+      if (cb) {
+        cb(element);
+      }
+    }
+  }
+  return element;
+}
+__name($el, "$el");
+function dragElement(dragEl, settings) {
+  var posDiffX = 0, posDiffY = 0, posStartX = 0, posStartY = 0, newPosX = 0, newPosY = 0;
+  if (dragEl.getElementsByClassName("drag-handle")[0]) {
+    dragEl.getElementsByClassName("drag-handle")[0].onmousedown = dragMouseDown;
+  } else {
+    dragEl.onmousedown = dragMouseDown;
+  }
+  const resizeObserver = new ResizeObserver(() => {
+    ensureInBounds();
+  }).observe(dragEl);
+  function ensureInBounds() {
+    try {
+      newPosX = Math.min(
+        document.body.clientWidth - dragEl.clientWidth,
+        Math.max(0, dragEl.offsetLeft)
+      );
+      newPosY = Math.min(
+        document.body.clientHeight - dragEl.clientHeight,
+        Math.max(0, dragEl.offsetTop)
+      );
+      positionElement();
+    } catch (exception) {
+    }
+  }
+  __name(ensureInBounds, "ensureInBounds");
+  function positionElement() {
+    if (dragEl.style.display === "none") return;
+    const halfWidth = document.body.clientWidth / 2;
+    const anchorRight = newPosX + dragEl.clientWidth / 2 > halfWidth;
+    if (anchorRight) {
+      dragEl.style.left = "unset";
+      dragEl.style.right = document.body.clientWidth - newPosX - dragEl.clientWidth + "px";
+    } else {
+      dragEl.style.left = newPosX + "px";
+      dragEl.style.right = "unset";
+    }
+    dragEl.style.top = newPosY + "px";
+    dragEl.style.bottom = "unset";
+    if (savePos) {
+      localStorage.setItem(
+        "Comfy.MenuPosition",
+        JSON.stringify({
+          x: dragEl.offsetLeft,
+          y: dragEl.offsetTop
+        })
+      );
+    }
+  }
+  __name(positionElement, "positionElement");
+  function restorePos() {
+    let posString = localStorage.getItem("Comfy.MenuPosition");
+    if (posString) {
+      const pos2 = JSON.parse(posString);
+      newPosX = pos2.x;
+      newPosY = pos2.y;
+      positionElement();
+      ensureInBounds();
+    }
+  }
+  __name(restorePos, "restorePos");
+  let savePos = void 0;
+  settings.addSetting({
+    id: "Comfy.MenuPosition",
+    category: ["Comfy", "Menu", "MenuPosition"],
+    name: "Save legacy menu's position",
+    type: "boolean",
+    defaultValue: savePos,
+    onChange(value3) {
+      if (savePos === void 0 && value3) {
+        restorePos();
+      }
+      savePos = value3;
+    }
+  });
+  function dragMouseDown(e) {
+    e = e || window.event;
+    e.preventDefault();
+    posStartX = e.clientX;
+    posStartY = e.clientY;
+    document.onmouseup = closeDragElement;
+    document.onmousemove = elementDrag;
+  }
+  __name(dragMouseDown, "dragMouseDown");
+  function elementDrag(e) {
+    e = e || window.event;
+    e.preventDefault();
+    dragEl.classList.add("comfy-menu-manual-pos");
+    posDiffX = e.clientX - posStartX;
+    posDiffY = e.clientY - posStartY;
+    posStartX = e.clientX;
+    posStartY = e.clientY;
+    newPosX = Math.min(
+      document.body.clientWidth - dragEl.clientWidth,
+      Math.max(0, dragEl.offsetLeft + posDiffX)
+    );
+    newPosY = Math.min(
+      document.body.clientHeight - dragEl.clientHeight,
+      Math.max(0, dragEl.offsetTop + posDiffY)
+    );
+    positionElement();
+  }
+  __name(elementDrag, "elementDrag");
+  window.addEventListener("resize", () => {
+    ensureInBounds();
+  });
+  function closeDragElement() {
+    document.onmouseup = null;
+    document.onmousemove = null;
+  }
+  __name(closeDragElement, "closeDragElement");
+  return restorePos;
+}
+__name(dragElement, "dragElement");
+class ComfyList {
+  static {
+    __name(this, "ComfyList");
+  }
+  #type;
+  #text;
+  #reverse;
+  element;
+  button;
+  constructor(text, type, reverse) {
+    this.#text = text;
+    this.#type = type || text.toLowerCase();
+    this.#reverse = reverse || false;
+    this.element = $el("div.comfy-list");
+    this.element.style.display = "none";
+  }
+  get visible() {
+    return this.element.style.display !== "none";
+  }
+  async load() {
+    const items2 = await api.getItems(this.#type);
+    this.element.replaceChildren(
+      ...Object.keys(items2).flatMap((section) => [
+        $el("h4", {
+          textContent: section
+        }),
+        $el("div.comfy-list-items", [
+          ...(this.#reverse ? items2[section].reverse() : items2[section]).map(
+            (item2) => {
+              const removeAction = "remove" in item2 ? item2.remove : {
+                name: "Delete",
+                cb: /* @__PURE__ */ __name(() => api.deleteItem(this.#type, item2.prompt[1]), "cb")
+              };
+              return $el("div", { textContent: item2.prompt[0] + ": " }, [
+                $el("button", {
+                  textContent: "Load",
+                  onclick: /* @__PURE__ */ __name(async () => {
+                    await app$1.loadGraphData(
+                      item2.prompt[3].extra_pnginfo.workflow,
+                      true,
+                      false
+                    );
+                    if ("outputs" in item2) {
+                      app$1.nodeOutputs = {};
+                      for (const [key, value3] of Object.entries(item2.outputs)) {
+                        const realKey = item2["meta"]?.[key]?.display_node ?? key;
+                        app$1.nodeOutputs[realKey] = value3;
+                      }
+                    }
+                  }, "onclick")
+                }),
+                $el("button", {
+                  textContent: removeAction.name,
+                  onclick: /* @__PURE__ */ __name(async () => {
+                    await removeAction.cb();
+                    await this.update();
+                  }, "onclick")
+                })
+              ]);
+            }
+          )
+        ])
+      ]),
+      $el("div.comfy-list-actions", [
+        $el("button", {
+          textContent: "Clear " + this.#text,
+          onclick: /* @__PURE__ */ __name(async () => {
+            await api.clearItems(this.#type);
+            await this.load();
+          }, "onclick")
+        }),
+        $el("button", { textContent: "Refresh", onclick: /* @__PURE__ */ __name(() => this.load(), "onclick") })
+      ])
+    );
+  }
+  async update() {
+    if (this.visible) {
+      await this.load();
+    }
+  }
+  async show() {
+    this.element.style.display = "block";
+    this.button.textContent = "Close";
+    await this.load();
+  }
+  hide() {
+    this.element.style.display = "none";
+    this.button.textContent = "View " + this.#text;
+  }
+  toggle() {
+    if (this.visible) {
+      this.hide();
+      return false;
+    } else {
+      this.show();
+      return true;
+    }
+  }
+}
+class ComfyUI {
+  static {
+    __name(this, "ComfyUI");
+  }
+  app;
+  dialog;
+  settings;
+  batchCount;
+  lastQueueSize;
+  queue;
+  history;
+  autoQueueMode;
+  graphHasChanged;
+  autoQueueEnabled;
+  menuHamburger;
+  menuContainer;
+  queueSize;
+  restoreMenuPosition;
+  loadFile;
+  constructor(app2) {
+    this.app = app2;
+    this.dialog = new ComfyDialog();
+    this.settings = new ComfySettingsDialog(app2);
+    this.batchCount = 1;
+    this.lastQueueSize = 0;
+    this.queue = new ComfyList("Queue");
+    this.history = new ComfyList("History", "history", true);
+    api.addEventListener("status", () => {
+      this.queue.update();
+      this.history.update();
+    });
+    const confirmClear = this.settings.addSetting({
+      id: "Comfy.ConfirmClear",
+      category: ["Comfy", "Workflow", "ConfirmClear"],
+      name: "Require confirmation when clearing workflow",
+      type: "boolean",
+      defaultValue: true
+    });
+    const promptFilename = this.settings.addSetting({
+      id: "Comfy.PromptFilename",
+      category: ["Comfy", "Workflow", "PromptFilename"],
+      name: "Prompt for filename when saving workflow",
+      type: "boolean",
+      defaultValue: true
+    });
+    const previewImage = this.settings.addSetting({
+      id: "Comfy.PreviewFormat",
+      category: ["Comfy", "Node Widget", "PreviewFormat"],
+      name: "Preview image format",
+      tooltip: "When displaying a preview in the image widget, convert it to a lightweight image, e.g. webp, jpeg, webp;50, etc.",
+      type: "text",
+      defaultValue: ""
+    });
+    this.settings.addSetting({
+      id: "Comfy.DisableSliders",
+      category: ["Comfy", "Node Widget", "DisableSliders"],
+      name: "Disable node widget sliders",
+      type: "boolean",
+      defaultValue: false
+    });
+    this.settings.addSetting({
+      id: "Comfy.DisableFloatRounding",
+      category: ["Comfy", "Node Widget", "DisableFloatRounding"],
+      name: "Disable default float widget rounding.",
+      tooltip: "(requires page reload) Cannot disable round when round is set by the node in the backend.",
+      type: "boolean",
+      defaultValue: false
+    });
+    this.settings.addSetting({
+      id: "Comfy.FloatRoundingPrecision",
+      category: ["Comfy", "Node Widget", "FloatRoundingPrecision"],
+      name: "Float widget rounding decimal places [0 = auto].",
+      tooltip: "(requires page reload)",
+      type: "slider",
+      attrs: {
+        min: 0,
+        max: 6,
+        step: 1
+      },
+      defaultValue: 0
+    });
+    this.settings.addSetting({
+      id: "Comfy.EnableTooltips",
+      category: ["Comfy", "Node", "EnableTooltips"],
+      name: "Enable Tooltips",
+      type: "boolean",
+      defaultValue: true
+    });
+    const fileInput2 = $el("input", {
+      id: "comfy-file-input",
+      type: "file",
+      accept: ".json,image/png,.latent,.safetensors,image/webp,audio/flac",
+      style: { display: "none" },
+      parent: document.body,
+      onchange: /* @__PURE__ */ __name(() => {
+        app2.handleFile(fileInput2.files[0]);
+      }, "onchange")
+    });
+    this.loadFile = () => fileInput2.click();
+    const autoQueueModeEl = toggleSwitch(
+      "autoQueueMode",
+      [
+        {
+          text: "instant",
+          tooltip: "A new prompt will be queued as soon as the queue reaches 0"
+        },
+        {
+          text: "change",
+          tooltip: "A new prompt will be queued when the queue is at 0 and the graph is/has changed"
+        }
+      ],
+      {
+        onChange: /* @__PURE__ */ __name((value3) => {
+          this.autoQueueMode = value3.item.value;
+        }, "onChange")
+      }
+    );
+    autoQueueModeEl.style.display = "none";
+    api.addEventListener("graphChanged", () => {
+      if (this.autoQueueMode === "change" && this.autoQueueEnabled === true) {
+        if (this.lastQueueSize === 0) {
+          this.graphHasChanged = false;
+          app2.queuePrompt(0, this.batchCount);
+        } else {
+          this.graphHasChanged = true;
+        }
+      }
+    });
+    this.menuHamburger = $el(
+      "div.comfy-menu-hamburger",
+      {
+        parent: document.body,
+        onclick: /* @__PURE__ */ __name(() => {
+          this.menuContainer.style.display = "block";
+          this.menuHamburger.style.display = "none";
+        }, "onclick")
+      },
+      [$el("div"), $el("div"), $el("div")]
+    );
+    this.menuContainer = $el("div.comfy-menu", { parent: document.body }, [
+      $el(
+        "div.drag-handle.comfy-menu-header",
+        {
+          style: {
+            overflow: "hidden",
+            position: "relative",
+            width: "100%",
+            cursor: "default"
+          }
+        },
+        [
+          $el("span.drag-handle"),
+          $el("span.comfy-menu-queue-size", { $: /* @__PURE__ */ __name((q) => this.queueSize = q, "$") }),
+          $el("div.comfy-menu-actions", [
+            $el("button.comfy-settings-btn", {
+              textContent: "⚙️",
+              onclick: showSettingsDialog
+            }),
+            $el("button.comfy-close-menu-btn", {
+              textContent: "×",
+              onclick: /* @__PURE__ */ __name(() => {
+                this.menuContainer.style.display = "none";
+                this.menuHamburger.style.display = "flex";
+              }, "onclick")
+            })
+          ])
+        ]
+      ),
+      $el("button.comfy-queue-btn", {
+        id: "queue-button",
+        textContent: "Queue Prompt",
+        onclick: /* @__PURE__ */ __name(() => app2.queuePrompt(0, this.batchCount), "onclick")
+      }),
+      $el("div", {}, [
+        $el("label", { innerHTML: "Extra options" }, [
+          $el("input", {
+            type: "checkbox",
+            onchange: /* @__PURE__ */ __name((i2) => {
+              document.getElementById("extraOptions").style.display = i2.srcElement.checked ? "block" : "none";
+              this.batchCount = i2.srcElement.checked ? Number.parseInt(
+                document.getElementById(
+                  "batchCountInputRange"
+                ).value
+              ) : 1;
+              document.getElementById("autoQueueCheckbox").checked = false;
+              this.autoQueueEnabled = false;
+            }, "onchange")
+          })
+        ])
+      ]),
+      $el(
+        "div",
+        { id: "extraOptions", style: { width: "100%", display: "none" } },
+        [
+          $el("div", [
+            $el("label", { innerHTML: "Batch count" }),
+            $el("input", {
+              id: "batchCountInputNumber",
+              type: "number",
+              value: this.batchCount,
+              min: "1",
+              style: { width: "35%", marginLeft: "0.4em" },
+              oninput: /* @__PURE__ */ __name((i2) => {
+                this.batchCount = i2.target.value;
+                document.getElementById(
+                  "batchCountInputRange"
+                ).value = this.batchCount.toString();
+              }, "oninput")
+            }),
+            $el("input", {
+              id: "batchCountInputRange",
+              type: "range",
+              min: "1",
+              max: "100",
+              value: this.batchCount,
+              oninput: /* @__PURE__ */ __name((i2) => {
+                this.batchCount = i2.srcElement.value;
+                document.getElementById(
+                  "batchCountInputNumber"
+                ).value = i2.srcElement.value;
+              }, "oninput")
+            })
+          ]),
+          $el("div", [
+            $el("label", {
+              for: "autoQueueCheckbox",
+              innerHTML: "Auto Queue"
+            }),
+            $el("input", {
+              id: "autoQueueCheckbox",
+              type: "checkbox",
+              checked: false,
+              title: "Automatically queue prompt when the queue size hits 0",
+              onchange: /* @__PURE__ */ __name((e) => {
+                this.autoQueueEnabled = e.target.checked;
+                autoQueueModeEl.style.display = this.autoQueueEnabled ? "" : "none";
+              }, "onchange")
+            }),
+            autoQueueModeEl
+          ])
+        ]
+      ),
+      $el("div.comfy-menu-btns", [
+        $el("button", {
+          id: "queue-front-button",
+          textContent: "Queue Front",
+          onclick: /* @__PURE__ */ __name(() => app2.queuePrompt(-1, this.batchCount), "onclick")
+        }),
+        $el("button", {
+          $: /* @__PURE__ */ __name((b) => this.queue.button = b, "$"),
+          id: "comfy-view-queue-button",
+          textContent: "View Queue",
+          onclick: /* @__PURE__ */ __name(() => {
+            this.history.hide();
+            this.queue.toggle();
+          }, "onclick")
+        }),
+        $el("button", {
+          $: /* @__PURE__ */ __name((b) => this.history.button = b, "$"),
+          id: "comfy-view-history-button",
+          textContent: "View History",
+          onclick: /* @__PURE__ */ __name(() => {
+            this.queue.hide();
+            this.history.toggle();
+          }, "onclick")
+        })
+      ]),
+      this.queue.element,
+      this.history.element,
+      $el("button", {
+        id: "comfy-save-button",
+        textContent: "Save",
+        onclick: /* @__PURE__ */ __name(() => {
+          let filename = "workflow.json";
+          if (promptFilename.value) {
+            filename = prompt("Save workflow as:", filename);
+            if (!filename) return;
+            if (!filename.toLowerCase().endsWith(".json")) {
+              filename += ".json";
+            }
+          }
+          app2.graphToPrompt().then((p2) => {
+            const json = JSON.stringify(p2.workflow, null, 2);
+            const blob = new Blob([json], { type: "application/json" });
+            const url = URL.createObjectURL(blob);
+            const a = $el("a", {
+              href: url,
+              download: filename,
+              style: { display: "none" },
+              parent: document.body
+            });
+            a.click();
+            setTimeout(function() {
+              a.remove();
+              window.URL.revokeObjectURL(url);
+            }, 0);
+          });
+        }, "onclick")
+      }),
+      $el("button", {
+        id: "comfy-dev-save-api-button",
+        textContent: "Save (API Format)",
+        style: { width: "100%", display: "none" },
+        onclick: /* @__PURE__ */ __name(() => {
+          let filename = "workflow_api.json";
+          if (promptFilename.value) {
+            filename = prompt("Save workflow (API) as:", filename);
+            if (!filename) return;
+            if (!filename.toLowerCase().endsWith(".json")) {
+              filename += ".json";
+            }
+          }
+          app2.graphToPrompt().then((p2) => {
+            const json = JSON.stringify(p2.output, null, 2);
+            const blob = new Blob([json], { type: "application/json" });
+            const url = URL.createObjectURL(blob);
+            const a = $el("a", {
+              href: url,
+              download: filename,
+              style: { display: "none" },
+              parent: document.body
+            });
+            a.click();
+            setTimeout(function() {
+              a.remove();
+              window.URL.revokeObjectURL(url);
+            }, 0);
+          });
+        }, "onclick")
+      }),
+      $el("button", {
+        id: "comfy-load-button",
+        textContent: "Load",
+        onclick: /* @__PURE__ */ __name(() => fileInput2.click(), "onclick")
+      }),
+      $el("button", {
+        id: "comfy-refresh-button",
+        textContent: "Refresh",
+        onclick: /* @__PURE__ */ __name(() => app2.refreshComboInNodes(), "onclick")
+      }),
+      $el("button", {
+        id: "comfy-clipspace-button",
+        textContent: "Clipspace",
+        onclick: /* @__PURE__ */ __name(() => app2.openClipspace(), "onclick")
+      }),
+      $el("button", {
+        id: "comfy-clear-button",
+        textContent: "Clear",
+        onclick: /* @__PURE__ */ __name(() => {
+          if (!confirmClear.value || confirm("Clear workflow?")) {
+            app2.clean();
+            app2.graph.clear();
+            app2.resetView();
+            api.dispatchEvent(new CustomEvent("graphCleared"));
+          }
+        }, "onclick")
+      }),
+      $el("button", {
+        id: "comfy-load-default-button",
+        textContent: "Load Default",
+        onclick: /* @__PURE__ */ __name(async () => {
+          if (!confirmClear.value || confirm("Load default workflow?")) {
+            app2.resetView();
+            await app2.loadGraphData();
+          }
+        }, "onclick")
+      }),
+      $el("button", {
+        id: "comfy-reset-view-button",
+        textContent: "Reset View",
+        onclick: /* @__PURE__ */ __name(async () => {
+          app2.resetView();
+        }, "onclick")
+      }),
+      $el("button", {
+        id: "comfy-group-selected-nodes-button",
+        textContent: "Group",
+        hidden: true,
+        onclick: /* @__PURE__ */ __name(() => {
+          if (!app2.canvas.selected_nodes || Object.keys(app2.canvas.selected_nodes).length === 0) {
+            useToastStore().add({
+              severity: "error",
+              summary: "No nodes selected",
+              detail: "Please select nodes to group",
+              life: 3e3
+            });
+            return;
+          }
+          const group = new LGraphGroup();
+          const padding = useSettingStore().get(
+            "Comfy.GroupSelectedNodes.Padding"
+          );
+          group.addNodes(Object.values(app2.canvas.selected_nodes), padding);
+          app2.canvas.graph.add(group);
+        }, "onclick")
+      })
+    ]);
+    this.settings.addSetting({
+      id: "Comfy.DevMode",
+      name: "Enable dev mode options (API save, etc.)",
+      type: "boolean",
+      defaultValue: false,
+      onChange: /* @__PURE__ */ __name(function(value3) {
+        document.getElementById("comfy-dev-save-api-button").style.display = value3 ? "flex" : "none";
+      }, "onChange")
+    });
+    this.restoreMenuPosition = dragElement(this.menuContainer, this.settings);
+    this.setStatus({ exec_info: { queue_remaining: "X" } });
+  }
+  setStatus(status) {
+    this.queueSize.textContent = "Queue size: " + (status ? status.exec_info.queue_remaining : "ERR");
+    if (status) {
+      if (this.lastQueueSize != 0 && status.exec_info.queue_remaining == 0 && this.autoQueueEnabled && (this.autoQueueMode === "instant" || this.graphHasChanged) && !app$1.lastExecutionError) {
+        app$1.queuePrompt(0, this.batchCount);
+        status.exec_info.queue_remaining += this.batchCount;
+        this.graphHasChanged = false;
+      }
+      this.lastQueueSize = status.exec_info.queue_remaining;
+    }
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.ui = window.comfyAPI.ui || {};
+window.comfyAPI.ui.ComfyDialog = ComfyDialog;
+window.comfyAPI.ui.$el = $el;
+window.comfyAPI.ui.ComfyUI = ComfyUI;
+$el("style", {
+  textContent: `
+        .comfy-logging-logs {
+            display: grid;
+            color: var(--fg-color);
+            white-space: pre-wrap;
+        }
+        .comfy-logging-log {
+            display: contents;
+        }
+        .comfy-logging-title {
+            background: var(--tr-even-bg-color);
+            font-weight: bold;
+            margin-bottom: 5px;
+            text-align: center;
+        }
+        .comfy-logging-log div {
+            background: var(--row-bg);
+            padding: 5px;
+        }
+    `,
+  parent: document.body
+});
+function stringify(val, depth, replacer2, space, onGetObjID) {
+  depth = isNaN(+depth) ? 1 : depth;
+  var recursMap = /* @__PURE__ */ new WeakMap();
+  function _build(val2, depth2, o, a, r) {
+    return !val2 || typeof val2 != "object" ? val2 : (r = recursMap.has(val2), recursMap.set(val2, true), a = Array.isArray(val2), r ? o = onGetObjID && onGetObjID(val2) || null : JSON.stringify(val2, function(k, v2) {
+      if (a || depth2 > 0) {
+        if (replacer2) v2 = replacer2(k, v2);
+        if (!k) return a = Array.isArray(v2), val2 = v2;
+        !o && (o = a ? [] : {});
+        o[k] = _build(v2, a ? depth2 : depth2 - 1);
+      }
+    }), o === void 0 ? a ? [] : {} : o);
+  }
+  __name(_build, "_build");
+  return JSON.stringify(_build(val, depth), null, space);
+}
+__name(stringify, "stringify");
+const jsonReplacer = /* @__PURE__ */ __name((k, v2, ui) => {
+  if (v2 instanceof Array && v2.length === 1) {
+    v2 = v2[0];
+  }
+  if (v2 instanceof Date) {
+    v2 = v2.toISOString();
+    if (ui) {
+      v2 = v2.split("T")[1];
+    }
+  }
+  if (v2 instanceof Error) {
+    let err = "";
+    if (v2.name) err += v2.name + "\n";
+    if (v2.message) err += v2.message + "\n";
+    if (v2.stack) err += v2.stack + "\n";
+    if (!err) {
+      err = v2.toString();
+    }
+    v2 = err;
+  }
+  return v2;
+}, "jsonReplacer");
+const fileInput = $el("input", {
+  type: "file",
+  accept: ".json",
+  style: { display: "none" },
+  parent: document.body
+});
+class ComfyLoggingDialog extends ComfyDialog {
+  static {
+    __name(this, "ComfyLoggingDialog");
+  }
+  logging;
+  constructor(logging) {
+    super();
+    this.logging = logging;
+  }
+  clear() {
+    this.logging.clear();
+    this.show();
+  }
+  export() {
+    const blob = new Blob(
+      [stringify([...this.logging.entries], 20, jsonReplacer, "	")],
+      {
+        type: "application/json"
+      }
+    );
+    const url = URL.createObjectURL(blob);
+    const a = $el("a", {
+      href: url,
+      download: `comfyui-logs-${Date.now()}.json`,
+      style: { display: "none" },
+      parent: document.body
+    });
+    a.click();
+    setTimeout(function() {
+      a.remove();
+      window.URL.revokeObjectURL(url);
+    }, 0);
+  }
+  import() {
+    fileInput.onchange = () => {
+      const reader = new FileReader();
+      reader.onload = () => {
+        fileInput.remove();
+        try {
+          const obj = JSON.parse(reader.result);
+          if (obj instanceof Array) {
+            this.show(obj);
+          } else {
+            throw new Error("Invalid file selected.");
+          }
+        } catch (error) {
+          alert("Unable to load logs: " + error.message);
+        }
+      };
+      reader.readAsText(fileInput.files[0]);
+    };
+    fileInput.click();
+  }
+  createButtons() {
+    return [
+      $el("button", {
+        type: "button",
+        textContent: "Clear",
+        onclick: /* @__PURE__ */ __name(() => this.clear(), "onclick")
+      }),
+      $el("button", {
+        type: "button",
+        textContent: "Export logs...",
+        onclick: /* @__PURE__ */ __name(() => this.export(), "onclick")
+      }),
+      $el("button", {
+        type: "button",
+        textContent: "View exported logs...",
+        onclick: /* @__PURE__ */ __name(() => this.import(), "onclick")
+      }),
+      ...super.createButtons()
+    ];
+  }
+  getTypeColor(type) {
+    switch (type) {
+      case "error":
+        return "red";
+      case "warn":
+        return "orange";
+      case "debug":
+        return "dodgerblue";
+    }
+  }
+  show(entries) {
+    if (!entries) entries = this.logging.entries;
+    this.element.style.width = "100%";
+    const cols = {
+      source: "Source",
+      type: "Type",
+      timestamp: "Timestamp",
+      message: "Message"
+    };
+    const keys2 = Object.keys(cols);
+    const headers = Object.values(cols).map(
+      (title) => $el("div.comfy-logging-title", {
+        textContent: title
+      })
+    );
+    const rows = entries.map((entry, i2) => {
+      return $el(
+        "div.comfy-logging-log",
+        {
+          $: /* @__PURE__ */ __name((el) => el.style.setProperty(
+            "--row-bg",
+            `var(--tr-${i2 % 2 ? "even" : "odd"}-bg-color)`
+          ), "$")
+        },
+        keys2.map((key) => {
+          let v2 = entry[key];
+          let color;
+          if (key === "type") {
+            color = this.getTypeColor(v2);
+          } else {
+            v2 = jsonReplacer(key, v2, true);
+            if (typeof v2 === "object") {
+              v2 = stringify(v2, 5, jsonReplacer, "  ");
+            }
+          }
+          return $el("div", {
+            style: {
+              color
+            },
+            textContent: v2
+          });
+        })
+      );
+    });
+    const grid = $el(
+      "div.comfy-logging-logs",
+      {
+        style: {
+          gridTemplateColumns: `repeat(${headers.length}, 1fr)`
+        }
+      },
+      [...headers, ...rows]
+    );
+    const els = [grid];
+    if (!this.logging.enabled) {
+      els.unshift(
+        $el("h3", {
+          style: { textAlign: "center" },
+          textContent: "Logging is disabled"
+        })
+      );
+    }
+    super.show($el("div", els));
+  }
+}
+class ComfyLogging {
+  static {
+    __name(this, "ComfyLogging");
+  }
+  /**
+   * @type Array<{ source: string, type: string, timestamp: Date, message: any }>
+   */
+  entries = [];
+  #enabled;
+  #console = {};
+  app;
+  dialog;
+  get enabled() {
+    return this.#enabled;
+  }
+  set enabled(value3) {
+    if (value3 === this.#enabled) return;
+    if (value3) {
+      this.patchConsole();
+    } else {
+      this.unpatchConsole();
+    }
+    this.#enabled = value3;
+  }
+  constructor(app2) {
+    this.app = app2;
+    this.dialog = new ComfyLoggingDialog(this);
+    this.addSetting();
+    this.catchUnhandled();
+    this.addInitData();
+  }
+  addSetting() {
+    const settingId = "Comfy.Logging.Enabled";
+    const htmlSettingId = settingId.replaceAll(".", "-");
+    const setting = this.app.ui.settings.addSetting({
+      id: settingId,
+      name: settingId,
+      defaultValue: true,
+      onChange: /* @__PURE__ */ __name((value3) => {
+        this.enabled = value3;
+      }, "onChange"),
+      type: /* @__PURE__ */ __name((name, setter, value3) => {
+        return $el("tr", [
+          $el("td", [
+            $el("label", {
+              textContent: "Logging",
+              for: htmlSettingId
+            })
+          ]),
+          $el("td", [
+            $el("input", {
+              id: htmlSettingId,
+              type: "checkbox",
+              checked: value3,
+              onchange: /* @__PURE__ */ __name((event2) => {
+                setter(event2.target.checked);
+              }, "onchange")
+            }),
+            $el("button", {
+              textContent: "View Logs",
+              onclick: /* @__PURE__ */ __name(() => {
+                this.app.ui.settings.element.close();
+                this.dialog.show();
+              }, "onclick"),
+              style: {
+                fontSize: "14px",
+                display: "block",
+                marginTop: "5px"
+              }
+            })
+          ])
+        ]);
+      }, "type")
+    });
+    this.enabled = setting.value;
+  }
+  patchConsole() {
+    const self2 = this;
+    for (const type of ["log", "warn", "error", "debug"]) {
+      const orig = console[type];
+      this.#console[type] = orig;
+      console[type] = function() {
+        orig.apply(console, arguments);
+        self2.addEntry("console", type, ...arguments);
+      };
+    }
+  }
+  unpatchConsole() {
+    for (const type of Object.keys(this.#console)) {
+      console[type] = this.#console[type];
+    }
+    this.#console = {};
+  }
+  catchUnhandled() {
+    window.addEventListener("error", (e) => {
+      this.addEntry("window", "error", e.error ?? "Unknown error");
+      return false;
+    });
+    window.addEventListener("unhandledrejection", (e) => {
+      this.addEntry("unhandledrejection", "error", e.reason ?? "Unknown error");
+    });
+  }
+  clear() {
+    this.entries = [];
+  }
+  addEntry(source, type, ...args) {
+    if (this.enabled) {
+      this.entries.push({
+        source,
+        type,
+        timestamp: /* @__PURE__ */ new Date(),
+        message: args
+      });
+    }
+  }
+  log(source, ...args) {
+    this.addEntry(source, "log", ...args);
+  }
+  async addInitData() {
+    if (!this.enabled) return;
+    const source = "ComfyUI.Logging";
+    this.addEntry(source, "debug", { UserAgent: navigator.userAgent });
+    const systemStats = await api.getSystemStats();
+    this.addEntry(source, "debug", systemStats);
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.logging = window.comfyAPI.logging || {};
+window.comfyAPI.logging.ComfyLogging = ComfyLogging;
+const SIZE = Symbol();
+function intersect(a, b) {
+  const x2 = Math.max(a.x, b.x);
+  const num1 = Math.min(a.x + a.width, b.x + b.width);
+  const y2 = Math.max(a.y, b.y);
+  const num2 = Math.min(a.y + a.height, b.y + b.height);
+  if (num1 >= x2 && num2 >= y2) return [x2, y2, num1 - x2, num2 - y2];
+  else return null;
+}
+__name(intersect, "intersect");
+function getClipPath(node3, element, canvasRect) {
+  const selectedNode = Object.values(
+    app$1.canvas.selected_nodes
+  )[0];
+  if (selectedNode && selectedNode !== node3) {
+    const elRect = element.getBoundingClientRect();
+    const MARGIN = 7;
+    const scale = app$1.canvas.ds.scale;
+    const bounding = selectedNode.getBounding();
+    const intersection = intersect(
+      {
+        x: elRect.x / scale - canvasRect.left,
+        y: elRect.y / scale - canvasRect.top,
+        width: elRect.width / scale,
+        height: elRect.height / scale
+      },
+      {
+        x: selectedNode.pos[0] + app$1.canvas.ds.offset[0] - MARGIN,
+        y: selectedNode.pos[1] + app$1.canvas.ds.offset[1] - LiteGraph.NODE_TITLE_HEIGHT - MARGIN,
+        width: bounding[2] + MARGIN + MARGIN,
+        height: bounding[3] + MARGIN + MARGIN
+      }
+    );
+    if (!intersection) {
+      return "";
+    }
+    const clipX = canvasRect.left + intersection[0] - elRect.x / scale + "px";
+    const clipY = canvasRect.top + intersection[1] - elRect.y / scale + "px";
+    const clipWidth = intersection[2] + "px";
+    const clipHeight = intersection[3] + "px";
+    const path = `polygon(0% 0%, 0% 100%, ${clipX} 100%, ${clipX} ${clipY}, calc(${clipX} + ${clipWidth}) ${clipY}, calc(${clipX} + ${clipWidth}) calc(${clipY} + ${clipHeight}), ${clipX} calc(${clipY} + ${clipHeight}), ${clipX} 100%, 100% 100%, 100% 0%)`;
+    return path;
+  }
+  return "";
+}
+__name(getClipPath, "getClipPath");
+function computeSize(size2) {
+  if (this.widgets?.[0]?.last_y == null) return;
+  let y2 = this.widgets[0].last_y;
+  let freeSpace = size2[1] - y2;
+  let widgetHeight = 0;
+  let dom = [];
+  for (const w2 of this.widgets) {
+    if (w2.type === "converted-widget") {
+      delete w2.computedHeight;
+    } else if (w2.computeSize) {
+      widgetHeight += w2.computeSize()[1] + 4;
+    } else if (w2.element) {
+      const styles = getComputedStyle(w2.element);
+      let minHeight = w2.options.getMinHeight?.() ?? parseInt(styles.getPropertyValue("--comfy-widget-min-height"));
+      let maxHeight = w2.options.getMaxHeight?.() ?? parseInt(styles.getPropertyValue("--comfy-widget-max-height"));
+      let prefHeight = w2.options.getHeight?.() ?? styles.getPropertyValue("--comfy-widget-height");
+      if (prefHeight.endsWith?.("%")) {
+        prefHeight = size2[1] * (parseFloat(prefHeight.substring(0, prefHeight.length - 1)) / 100);
+      } else {
+        prefHeight = parseInt(prefHeight);
+        if (isNaN(minHeight)) {
+          minHeight = prefHeight;
+        }
+      }
+      if (isNaN(minHeight)) {
+        minHeight = 50;
+      }
+      if (!isNaN(maxHeight)) {
+        if (!isNaN(prefHeight)) {
+          prefHeight = Math.min(prefHeight, maxHeight);
+        } else {
+          prefHeight = maxHeight;
+        }
+      }
+      dom.push({
+        minHeight,
+        prefHeight,
+        w: w2
+      });
+    } else {
+      widgetHeight += LiteGraph.NODE_WIDGET_HEIGHT + 4;
+    }
+  }
+  freeSpace -= widgetHeight;
+  const prefGrow = [];
+  const canGrow = [];
+  let growBy = 0;
+  for (const d of dom) {
+    freeSpace -= d.minHeight;
+    if (isNaN(d.prefHeight)) {
+      canGrow.push(d);
+      d.w.computedHeight = d.minHeight;
+    } else {
+      const diff = d.prefHeight - d.minHeight;
+      if (diff > 0) {
+        prefGrow.push(d);
+        growBy += diff;
+        d.diff = diff;
+      } else {
+        d.w.computedHeight = d.minHeight;
+      }
+    }
+  }
+  if (this.imgs && !this.widgets.find((w2) => w2.name === ANIM_PREVIEW_WIDGET)) {
+    freeSpace -= 220;
+  }
+  this.freeWidgetSpace = freeSpace;
+  if (freeSpace < 0) {
+    size2[1] -= freeSpace;
+    this.graph.setDirtyCanvas(true);
+  } else {
+    const growDiff = freeSpace - growBy;
+    if (growDiff > 0) {
+      freeSpace = growDiff;
+      for (const d of prefGrow) {
+        d.w.computedHeight = d.prefHeight;
+      }
+    } else {
+      const shared = -growDiff / prefGrow.length;
+      for (const d of prefGrow) {
+        d.w.computedHeight = d.prefHeight - shared;
+      }
+      freeSpace = 0;
+    }
+    if (freeSpace > 0 && canGrow.length) {
+      const shared = freeSpace / canGrow.length;
+      for (const d of canGrow) {
+        d.w.computedHeight += shared;
+      }
+    }
+  }
+  for (const w2 of this.widgets) {
+    w2.y = y2;
+    if (w2.computedHeight) {
+      y2 += w2.computedHeight;
+    } else if (w2.computeSize) {
+      y2 += w2.computeSize()[1] + 4;
+    } else {
+      y2 += LiteGraph.NODE_WIDGET_HEIGHT + 4;
+    }
+  }
+}
+__name(computeSize, "computeSize");
+const elementWidgets = /* @__PURE__ */ new Set();
+const computeVisibleNodes = LGraphCanvas.prototype.computeVisibleNodes;
+LGraphCanvas.prototype.computeVisibleNodes = function() {
+  const visibleNodes = computeVisibleNodes.apply(this, arguments);
+  for (const node3 of app$1.graph._nodes) {
+    if (elementWidgets.has(node3)) {
+      const hidden = visibleNodes.indexOf(node3) === -1;
+      for (const w2 of node3.widgets) {
+        if (w2.element) {
+          w2.element.dataset.isInVisibleNodes = hidden ? "false" : "true";
+          const shouldOtherwiseHide = w2.element.dataset.shouldHide === "true";
+          const isCollapsed = w2.element.dataset.collapsed === "true";
+          const wasHidden = w2.element.hidden;
+          const actualHidden = hidden || shouldOtherwiseHide || isCollapsed;
+          w2.element.hidden = actualHidden;
+          w2.element.style.display = actualHidden ? "none" : null;
+          if (actualHidden && !wasHidden) {
+            w2.options.onHide?.(w2);
+          }
+        }
+      }
+    }
+  }
+  return visibleNodes;
+};
+let enableDomClipping = true;
+function addDomClippingSetting() {
+  app$1.ui.settings.addSetting({
+    id: "Comfy.DOMClippingEnabled",
+    category: ["Comfy", "Node", "DOMClippingEnabled"],
+    name: "Enable DOM element clipping (enabling may reduce performance)",
+    type: "boolean",
+    defaultValue: enableDomClipping,
+    onChange(value3) {
+      enableDomClipping = !!value3;
+    }
+  });
+}
+__name(addDomClippingSetting, "addDomClippingSetting");
+LGraphNode.prototype.addDOMWidget = function(name, type, element, options3) {
+  options3 = { hideOnZoom: true, selectOn: ["focus", "click"], ...options3 };
+  if (!element.parentElement) {
+    app$1.canvasContainer.append(element);
+  }
+  element.hidden = true;
+  element.style.display = "none";
+  let mouseDownHandler;
+  if (element.blur) {
+    mouseDownHandler = /* @__PURE__ */ __name((event2) => {
+      if (!element.contains(event2.target)) {
+        element.blur();
+      }
+    }, "mouseDownHandler");
+    document.addEventListener("mousedown", mouseDownHandler);
+  }
+  const { nodeData } = this.constructor;
+  const tooltip = (nodeData?.input.required?.[name] ?? nodeData?.input.optional?.[name])?.[1]?.tooltip;
+  if (tooltip && !element.title) {
+    element.title = tooltip;
+  }
+  const widget = {
+    type,
+    name,
+    get value() {
+      return options3.getValue?.() ?? void 0;
+    },
+    set value(v2) {
+      options3.setValue?.(v2);
+      widget.callback?.(widget.value);
+    },
+    draw: /* @__PURE__ */ __name(function(ctx, node3, widgetWidth, y2, widgetHeight) {
+      if (widget.computedHeight == null) {
+        computeSize.call(node3, node3.size);
+      }
+      const hidden = !!options3.hideOnZoom && app$1.canvas.ds.scale < 0.5 || widget.computedHeight <= 0 || widget.type === "converted-widget" || widget.type === "hidden";
+      element.dataset.shouldHide = hidden ? "true" : "false";
+      const isInVisibleNodes = element.dataset.isInVisibleNodes === "true";
+      const isCollapsed = element.dataset.collapsed === "true";
+      const actualHidden = hidden || !isInVisibleNodes || isCollapsed;
+      const wasHidden = element.hidden;
+      element.hidden = actualHidden;
+      element.style.display = actualHidden ? "none" : null;
+      if (actualHidden && !wasHidden) {
+        widget.options.onHide?.(widget);
+      }
+      if (actualHidden) {
+        return;
+      }
+      const margin = 10;
+      const elRect = ctx.canvas.getBoundingClientRect();
+      const transform2 = new DOMMatrix().scaleSelf(
+        elRect.width / ctx.canvas.width,
+        elRect.height / ctx.canvas.height
+      ).multiplySelf(ctx.getTransform()).translateSelf(margin, margin + y2);
+      const scale = new DOMMatrix().scaleSelf(transform2.a, transform2.d);
+      Object.assign(element.style, {
+        transformOrigin: "0 0",
+        transform: scale,
+        left: `${transform2.a + transform2.e}px`,
+        top: `${transform2.d + transform2.f}px`,
+        width: `${widgetWidth - margin * 2}px`,
+        height: `${(widget.computedHeight ?? 50) - margin * 2}px`,
+        position: "absolute",
+        // @ts-expect-error
+        zIndex: app$1.graph._nodes.indexOf(node3)
+      });
+      if (enableDomClipping) {
+        element.style.clipPath = getClipPath(node3, element, elRect);
+        element.style.willChange = "clip-path";
+      }
+      this.options.onDraw?.(widget);
+    }, "draw"),
+    element,
+    options: options3,
+    onRemove() {
+      if (mouseDownHandler) {
+        document.removeEventListener("mousedown", mouseDownHandler);
+      }
+      element.remove();
+    }
+  };
+  for (const evt of options3.selectOn) {
+    element.addEventListener(evt, () => {
+      app$1.canvas.selectNode(this);
+      app$1.canvas.bringToFront(this);
+    });
+  }
+  this.addCustomWidget(widget);
+  elementWidgets.add(this);
+  const collapse = this.collapse;
+  this.collapse = function() {
+    collapse.apply(this, arguments);
+    if (this.flags?.collapsed) {
+      element.hidden = true;
+      element.style.display = "none";
+    }
+    element.dataset.collapsed = this.flags?.collapsed ? "true" : "false";
+  };
+  const onRemoved = this.onRemoved;
+  this.onRemoved = function() {
+    element.remove();
+    elementWidgets.delete(this);
+    onRemoved?.apply(this, arguments);
+  };
+  if (!this[SIZE]) {
+    this[SIZE] = true;
+    const onResize3 = this.onResize;
+    this.onResize = function(size2) {
+      options3.beforeResize?.call(widget, this);
+      computeSize.call(this, size2);
+      onResize3?.apply(this, arguments);
+      options3.afterResize?.call(widget, this);
+    };
+  }
+  return widget;
+};
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.domWidget = window.comfyAPI.domWidget || {};
+window.comfyAPI.domWidget.addDomClippingSetting = addDomClippingSetting;
+let controlValueRunBefore = false;
+function updateControlWidgetLabel(widget) {
+  let replacement = "after";
+  let find2 = "before";
+  if (controlValueRunBefore) {
+    ;
+    [find2, replacement] = [replacement, find2];
+  }
+  widget.label = (widget.label ?? widget.name).replace(find2, replacement);
+}
+__name(updateControlWidgetLabel, "updateControlWidgetLabel");
+const IS_CONTROL_WIDGET = Symbol();
+const HAS_EXECUTED = Symbol();
+function getNumberDefaults(inputData, defaultStep, precision, enable_rounding) {
+  let defaultVal = inputData[1]["default"];
+  let { min, max, step: step2, round } = inputData[1];
+  if (defaultVal == void 0) defaultVal = 0;
+  if (min == void 0) min = 0;
+  if (max == void 0) max = 2048;
+  if (step2 == void 0) step2 = defaultStep;
+  if (precision == void 0) {
+    precision = Math.max(-Math.floor(Math.log10(step2)), 0);
+  }
+  if (enable_rounding && (round == void 0 || round === true)) {
+    round = Math.round(1e6 * Math.pow(0.1, precision)) / 1e6;
+  }
+  return {
+    val: defaultVal,
+    config: { min, max, step: 10 * step2, round, precision }
+  };
+}
+__name(getNumberDefaults, "getNumberDefaults");
+function addValueControlWidget(node3, targetWidget, defaultValue = "randomize", values2, widgetName, inputData) {
+  let name = inputData[1]?.control_after_generate;
+  if (typeof name !== "string") {
+    name = widgetName;
+  }
+  const widgets = addValueControlWidgets(
+    node3,
+    targetWidget,
+    defaultValue,
+    {
+      addFilterList: false,
+      controlAfterGenerateName: name
+    },
+    inputData
+  );
+  return widgets[0];
+}
+__name(addValueControlWidget, "addValueControlWidget");
+function addValueControlWidgets(node3, targetWidget, defaultValue = "randomize", options3, inputData) {
+  if (!defaultValue) defaultValue = "randomize";
+  if (!options3) options3 = {};
+  const getName = /* @__PURE__ */ __name((defaultName, optionName) => {
+    let name = defaultName;
+    if (options3[optionName]) {
+      name = options3[optionName];
+    } else if (typeof inputData?.[1]?.[defaultName] === "string") {
+      name = inputData?.[1]?.[defaultName];
+    } else if (inputData?.[1]?.control_prefix) {
+      name = inputData?.[1]?.control_prefix + " " + name;
+    }
+    return name;
+  }, "getName");
+  const widgets = [];
+  const valueControl = node3.addWidget(
+    "combo",
+    getName("control_after_generate", "controlAfterGenerateName"),
+    defaultValue,
+    function() {
+    },
+    {
+      values: ["fixed", "increment", "decrement", "randomize"],
+      serialize: false
+      // Don't include this in prompt.
+    }
+  );
+  valueControl.tooltip = "Allows the linked widget to be changed automatically, for example randomizing the noise seed.";
+  valueControl[IS_CONTROL_WIDGET] = true;
+  updateControlWidgetLabel(valueControl);
+  widgets.push(valueControl);
+  const isCombo = targetWidget.type === "combo";
+  let comboFilter;
+  if (isCombo) {
+    valueControl.options.values.push("increment-wrap");
+  }
+  if (isCombo && options3.addFilterList !== false) {
+    comboFilter = node3.addWidget(
+      "string",
+      getName("control_filter_list", "controlFilterListName"),
+      "",
+      function() {
+      },
+      {
+        serialize: false
+        // Don't include this in prompt.
+      }
+    );
+    updateControlWidgetLabel(comboFilter);
+    comboFilter.tooltip = "Allows for filtering the list of values when changing the value via the control generate mode. Allows for RegEx matches in the format /abc/ to only filter to values containing 'abc'.";
+    widgets.push(comboFilter);
+  }
+  const applyWidgetControl = /* @__PURE__ */ __name(() => {
+    var v2 = valueControl.value;
+    if (isCombo && v2 !== "fixed") {
+      let values2 = targetWidget.options.values;
+      const filter4 = comboFilter?.value;
+      if (filter4) {
+        let check;
+        if (filter4.startsWith("/") && filter4.endsWith("/")) {
+          try {
+            const regex = new RegExp(filter4.substring(1, filter4.length - 1));
+            check = /* @__PURE__ */ __name((item2) => regex.test(item2), "check");
+          } catch (error) {
+            console.error(
+              "Error constructing RegExp filter for node " + node3.id,
+              filter4,
+              error
+            );
+          }
+        }
+        if (!check) {
+          const lower = filter4.toLocaleLowerCase();
+          check = /* @__PURE__ */ __name((item2) => item2.toLocaleLowerCase().includes(lower), "check");
+        }
+        values2 = values2.filter((item2) => check(item2));
+        if (!values2.length && targetWidget.options.values.length) {
+          console.warn(
+            "Filter for node " + node3.id + " has filtered out all items",
+            filter4
+          );
+        }
+      }
+      let current_index = values2.indexOf(targetWidget.value);
+      let current_length = values2.length;
+      switch (v2) {
+        case "increment":
+          current_index += 1;
+          break;
+        case "increment-wrap":
+          current_index += 1;
+          if (current_index >= current_length) {
+            current_index = 0;
+          }
+          break;
+        case "decrement":
+          current_index -= 1;
+          break;
+        case "randomize":
+          current_index = Math.floor(Math.random() * current_length);
+          break;
+        default:
+          break;
+      }
+      current_index = Math.max(0, current_index);
+      current_index = Math.min(current_length - 1, current_index);
+      if (current_index >= 0) {
+        let value3 = values2[current_index];
+        targetWidget.value = value3;
+        targetWidget.callback(value3);
+      }
+    } else {
+      let min = targetWidget.options.min;
+      let max = targetWidget.options.max;
+      max = Math.min(1125899906842624, max);
+      min = Math.max(-1125899906842624, min);
+      let range2 = (max - min) / (targetWidget.options.step / 10);
+      switch (v2) {
+        case "fixed":
+          break;
+        case "increment":
+          targetWidget.value += targetWidget.options.step / 10;
+          break;
+        case "decrement":
+          targetWidget.value -= targetWidget.options.step / 10;
+          break;
+        case "randomize":
+          targetWidget.value = Math.floor(Math.random() * range2) * (targetWidget.options.step / 10) + min;
+          break;
+        default:
+          break;
+      }
+      if (targetWidget.value < min) targetWidget.value = min;
+      if (targetWidget.value > max) targetWidget.value = max;
+      targetWidget.callback(targetWidget.value);
+    }
+  }, "applyWidgetControl");
+  valueControl.beforeQueued = () => {
+    if (controlValueRunBefore) {
+      if (valueControl[HAS_EXECUTED]) {
+        applyWidgetControl();
+      }
+    }
+    valueControl[HAS_EXECUTED] = true;
+  };
+  valueControl.afterQueued = () => {
+    if (!controlValueRunBefore) {
+      applyWidgetControl();
+    }
+  };
+  return widgets;
+}
+__name(addValueControlWidgets, "addValueControlWidgets");
+function seedWidget(node3, inputName, inputData, app2, widgetName) {
+  const seed = createIntWidget(node3, inputName, inputData, app2, true);
+  const seedControl = addValueControlWidget(
+    node3,
+    seed.widget,
+    "randomize",
+    void 0,
+    widgetName,
+    inputData
+  );
+  seed.widget.linkedWidgets = [seedControl];
+  return seed;
+}
+__name(seedWidget, "seedWidget");
+function createIntWidget(node3, inputName, inputData, app2, isSeedInput = false) {
+  const control = inputData[1]?.control_after_generate;
+  if (!isSeedInput && control) {
+    return seedWidget(
+      node3,
+      inputName,
+      inputData,
+      app2,
+      typeof control === "string" ? control : void 0
+    );
+  }
+  let widgetType = isSlider(inputData[1]["display"], app2);
+  const { val, config } = getNumberDefaults(inputData, 1, 0, true);
+  Object.assign(config, { precision: 0 });
+  return {
+    widget: node3.addWidget(
+      widgetType,
+      inputName,
+      val,
+      function(v2) {
+        const s = this.options.step / 10;
+        let sh = this.options.min % s;
+        if (isNaN(sh)) {
+          sh = 0;
+        }
+        this.value = Math.round((v2 - sh) / s) * s + sh;
+      },
+      config
+    )
+  };
+}
+__name(createIntWidget, "createIntWidget");
+function addMultilineWidget(node3, name, opts, app2) {
+  const inputEl = document.createElement("textarea");
+  inputEl.className = "comfy-multiline-input";
+  inputEl.value = opts.defaultVal;
+  inputEl.placeholder = opts.placeholder || name;
+  if (app2.vueAppReady) {
+    inputEl.spellcheck = useSettingStore().get(
+      "Comfy.TextareaWidget.Spellcheck"
+    );
+  }
+  const widget = node3.addDOMWidget(name, "customtext", inputEl, {
+    getValue() {
+      return inputEl.value;
+    },
+    setValue(v2) {
+      inputEl.value = v2;
+    }
+  });
+  widget.inputEl = inputEl;
+  inputEl.addEventListener("input", () => {
+    widget.callback?.(widget.value);
+  });
+  return { minWidth: 400, minHeight: 200, widget };
+}
+__name(addMultilineWidget, "addMultilineWidget");
+function isSlider(display, app2) {
+  if (app2.ui.settings.getSettingValue("Comfy.DisableSliders")) {
+    return "number";
+  }
+  return display === "slider" ? "slider" : "number";
+}
+__name(isSlider, "isSlider");
+function initWidgets(app2) {
+  app2.ui.settings.addSetting({
+    id: "Comfy.WidgetControlMode",
+    category: ["Comfy", "Node Widget", "WidgetControlMode"],
+    name: "Widget control mode",
+    tooltip: "Controls when widget values are updated (randomize/increment/decrement), either before the prompt is queued or after.",
+    type: "combo",
+    defaultValue: "after",
+    options: ["before", "after"],
+    onChange(value3) {
+      controlValueRunBefore = value3 === "before";
+      for (const n of app2.graph._nodes) {
+        if (!n.widgets) continue;
+        for (const w2 of n.widgets) {
+          if (w2[IS_CONTROL_WIDGET]) {
+            updateControlWidgetLabel(w2);
+            if (w2.linkedWidgets) {
+              for (const l of w2.linkedWidgets) {
+                updateControlWidgetLabel(l);
+              }
+            }
+          }
+        }
+      }
+      app2.graph.setDirtyCanvas(true);
+    }
+  });
+}
+__name(initWidgets, "initWidgets");
+const ComfyWidgets = {
+  "INT:seed": seedWidget,
+  "INT:noise_seed": seedWidget,
+  FLOAT(node3, inputName, inputData, app2) {
+    let widgetType = isSlider(inputData[1]["display"], app2);
+    let precision = app2.ui.settings.getSettingValue(
+      "Comfy.FloatRoundingPrecision"
+    );
+    let disable_rounding = app2.ui.settings.getSettingValue(
+      "Comfy.DisableFloatRounding"
+    );
+    if (precision == 0) precision = void 0;
+    const { val, config } = getNumberDefaults(
+      inputData,
+      0.5,
+      precision,
+      !disable_rounding
+    );
+    return {
+      widget: node3.addWidget(
+        widgetType,
+        inputName,
+        val,
+        function(v2) {
+          if (config.round) {
+            this.value = Math.round((v2 + Number.EPSILON) / config.round) * config.round;
+            if (this.value > config.max) this.value = config.max;
+            if (this.value < config.min) this.value = config.min;
+          } else {
+            this.value = v2;
+          }
+        },
+        config
+      )
+    };
+  },
+  INT(node3, inputName, inputData, app2) {
+    return createIntWidget(node3, inputName, inputData, app2);
+  },
+  BOOLEAN(node3, inputName, inputData) {
+    let defaultVal = false;
+    let options3 = {};
+    if (inputData[1]) {
+      if (inputData[1].default) defaultVal = inputData[1].default;
+      if (inputData[1].label_on) options3["on"] = inputData[1].label_on;
+      if (inputData[1].label_off) options3["off"] = inputData[1].label_off;
+    }
+    return {
+      widget: node3.addWidget("toggle", inputName, defaultVal, () => {
+      }, options3)
+    };
+  },
+  STRING(node3, inputName, inputData, app2) {
+    const defaultVal = inputData[1].default || "";
+    const multiline = !!inputData[1].multiline;
+    let res;
+    if (multiline) {
+      res = addMultilineWidget(
+        node3,
+        inputName,
+        { defaultVal, ...inputData[1] },
+        app2
+      );
+    } else {
+      res = {
+        widget: node3.addWidget("text", inputName, defaultVal, () => {
+        }, {})
+      };
+    }
+    if (inputData[1].dynamicPrompts != void 0)
+      res.widget.dynamicPrompts = inputData[1].dynamicPrompts;
+    return res;
+  },
+  COMBO(node3, inputName, inputData) {
+    const type = inputData[0];
+    let defaultValue = type[0];
+    if (inputData[1] && inputData[1].default) {
+      defaultValue = inputData[1].default;
+    }
+    const res = {
+      widget: node3.addWidget("combo", inputName, defaultValue, () => {
+      }, {
+        values: type
+      })
+    };
+    if (inputData[1]?.control_after_generate) {
+      res.widget.linkedWidgets = addValueControlWidgets(
+        node3,
+        res.widget,
+        void 0,
+        void 0,
+        inputData
+      );
+    }
+    return res;
+  },
+  IMAGEUPLOAD(node3, inputName, inputData, app2) {
+    const imageWidget = node3.widgets.find(
+      (w2) => w2.name === (inputData[1]?.widget ?? "image")
+    );
+    let uploadWidget;
+    function showImage(name) {
+      const img = new Image();
+      img.onload = () => {
+        node3.imgs = [img];
+        app2.graph.setDirtyCanvas(true);
+      };
+      let folder_separator = name.lastIndexOf("/");
+      let subfolder = "";
+      if (folder_separator > -1) {
+        subfolder = name.substring(0, folder_separator);
+        name = name.substring(folder_separator + 1);
+      }
+      img.src = api.apiURL(
+        `/view?filename=${encodeURIComponent(name)}&type=input&subfolder=${subfolder}${app2.getPreviewFormatParam()}${app2.getRandParam()}`
+      );
+      node3.setSizeForImage?.();
+    }
+    __name(showImage, "showImage");
+    var default_value = imageWidget.value;
+    Object.defineProperty(imageWidget, "value", {
+      set: /* @__PURE__ */ __name(function(value3) {
+        this._real_value = value3;
+      }, "set"),
+      get: /* @__PURE__ */ __name(function() {
+        if (!this._real_value) {
+          return default_value;
+        }
+        let value3 = this._real_value;
+        if (value3.filename) {
+          let real_value = value3;
+          value3 = "";
+          if (real_value.subfolder) {
+            value3 = real_value.subfolder + "/";
+          }
+          value3 += real_value.filename;
+          if (real_value.type && real_value.type !== "input")
+            value3 += ` [${real_value.type}]`;
+        }
+        return value3;
+      }, "get")
+    });
+    const cb = node3.callback;
+    imageWidget.callback = function() {
+      showImage(imageWidget.value);
+      if (cb) {
+        return cb.apply(this, arguments);
+      }
+    };
+    requestAnimationFrame(() => {
+      if (imageWidget.value) {
+        showImage(imageWidget.value);
+      }
+    });
+    async function uploadFile(file, updateNode, pasted = false) {
+      try {
+        const body = new FormData();
+        body.append("image", file);
+        if (pasted) body.append("subfolder", "pasted");
+        const resp = await api.fetchApi("/upload/image", {
+          method: "POST",
+          body
+        });
+        if (resp.status === 200) {
+          const data24 = await resp.json();
+          let path = data24.name;
+          if (data24.subfolder) path = data24.subfolder + "/" + path;
+          if (!imageWidget.options.values.includes(path)) {
+            imageWidget.options.values.push(path);
+          }
+          if (updateNode) {
+            showImage(path);
+            imageWidget.value = path;
+          }
+        } else {
+          alert(resp.status + " - " + resp.statusText);
+        }
+      } catch (error) {
+        alert(error);
+      }
+    }
+    __name(uploadFile, "uploadFile");
+    const fileInput2 = document.createElement("input");
+    Object.assign(fileInput2, {
+      type: "file",
+      accept: "image/jpeg,image/png,image/webp",
+      style: "display: none",
+      onchange: /* @__PURE__ */ __name(async () => {
+        if (fileInput2.files.length) {
+          await uploadFile(fileInput2.files[0], true);
+        }
+      }, "onchange")
+    });
+    document.body.append(fileInput2);
+    uploadWidget = node3.addWidget("button", inputName, "image", () => {
+      fileInput2.click();
+    });
+    uploadWidget.label = "choose file to upload";
+    uploadWidget.serialize = false;
+    node3.onDragOver = function(e) {
+      if (e.dataTransfer && e.dataTransfer.items) {
+        const image = [...e.dataTransfer.items].find((f) => f.kind === "file");
+        return !!image;
+      }
+      return false;
+    };
+    node3.onDragDrop = function(e) {
+      console.log("onDragDrop called");
+      let handled = false;
+      for (const file of e.dataTransfer.files) {
+        if (file.type.startsWith("image/")) {
+          uploadFile(file, !handled);
+          handled = true;
+        }
+      }
+      return handled;
+    };
+    node3.pasteFile = function(file) {
+      if (file.type.startsWith("image/")) {
+        const is_pasted = file.name === "image.png" && file.lastModified - Date.now() < 2e3;
+        uploadFile(file, true, is_pasted);
+        return true;
+      }
+      return false;
+    };
+    return { widget: uploadWidget };
+  }
+};
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.widgets = window.comfyAPI.widgets || {};
+window.comfyAPI.widgets.updateControlWidgetLabel = updateControlWidgetLabel;
+window.comfyAPI.widgets.addValueControlWidget = addValueControlWidget;
+window.comfyAPI.widgets.addValueControlWidgets = addValueControlWidgets;
+window.comfyAPI.widgets.initWidgets = initWidgets;
+window.comfyAPI.widgets.ComfyWidgets = ComfyWidgets;
+const defaultGraph = {
+  last_node_id: 9,
+  last_link_id: 9,
+  nodes: [
+    {
+      id: 7,
+      type: "CLIPTextEncode",
+      pos: [413, 389],
+      size: [425.27801513671875, 180.6060791015625],
+      flags: {},
+      order: 3,
+      mode: 0,
+      inputs: [{ name: "clip", type: "CLIP", link: 5 }],
+      outputs: [
+        {
+          name: "CONDITIONING",
+          type: "CONDITIONING",
+          links: [6],
+          slot_index: 0
+        }
+      ],
+      properties: {},
+      widgets_values: ["text, watermark"]
+    },
+    {
+      id: 6,
+      type: "CLIPTextEncode",
+      pos: [415, 186],
+      size: [422.84503173828125, 164.31304931640625],
+      flags: {},
+      order: 2,
+      mode: 0,
+      inputs: [{ name: "clip", type: "CLIP", link: 3 }],
+      outputs: [
+        {
+          name: "CONDITIONING",
+          type: "CONDITIONING",
+          links: [4],
+          slot_index: 0
+        }
+      ],
+      properties: {},
+      widgets_values: [
+        "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,"
+      ]
+    },
+    {
+      id: 5,
+      type: "EmptyLatentImage",
+      pos: [473, 609],
+      size: [315, 106],
+      flags: {},
+      order: 1,
+      mode: 0,
+      outputs: [{ name: "LATENT", type: "LATENT", links: [2], slot_index: 0 }],
+      properties: {},
+      widgets_values: [512, 512, 1]
+    },
+    {
+      id: 3,
+      type: "KSampler",
+      pos: [863, 186],
+      size: [315, 262],
+      flags: {},
+      order: 4,
+      mode: 0,
+      inputs: [
+        { name: "model", type: "MODEL", link: 1 },
+        { name: "positive", type: "CONDITIONING", link: 4 },
+        { name: "negative", type: "CONDITIONING", link: 6 },
+        { name: "latent_image", type: "LATENT", link: 2 }
+      ],
+      outputs: [{ name: "LATENT", type: "LATENT", links: [7], slot_index: 0 }],
+      properties: {},
+      widgets_values: [156680208700286, true, 20, 8, "euler", "normal", 1]
+    },
+    {
+      id: 8,
+      type: "VAEDecode",
+      pos: [1209, 188],
+      size: [210, 46],
+      flags: {},
+      order: 5,
+      mode: 0,
+      inputs: [
+        { name: "samples", type: "LATENT", link: 7 },
+        { name: "vae", type: "VAE", link: 8 }
+      ],
+      outputs: [{ name: "IMAGE", type: "IMAGE", links: [9], slot_index: 0 }],
+      properties: {}
+    },
+    {
+      id: 9,
+      type: "SaveImage",
+      pos: [1451, 189],
+      size: [210, 26],
+      flags: {},
+      order: 6,
+      mode: 0,
+      inputs: [{ name: "images", type: "IMAGE", link: 9 }],
+      properties: {}
+    },
+    {
+      id: 4,
+      type: "CheckpointLoaderSimple",
+      pos: [26, 474],
+      size: [315, 98],
+      flags: {},
+      order: 0,
+      mode: 0,
+      outputs: [
+        { name: "MODEL", type: "MODEL", links: [1], slot_index: 0 },
+        { name: "CLIP", type: "CLIP", links: [3, 5], slot_index: 1 },
+        { name: "VAE", type: "VAE", links: [8], slot_index: 2 }
+      ],
+      properties: {},
+      widgets_values: ["v1-5-pruned-emaonly.ckpt"]
+    }
+  ],
+  links: [
+    [1, 4, 0, 3, 0, "MODEL"],
+    [2, 5, 0, 3, 3, "LATENT"],
+    [3, 4, 1, 6, 0, "CLIP"],
+    [4, 6, 0, 3, 1, "CONDITIONING"],
+    [5, 4, 1, 7, 0, "CLIP"],
+    [6, 7, 0, 3, 2, "CONDITIONING"],
+    [7, 3, 0, 8, 0, "LATENT"],
+    [8, 4, 2, 8, 1, "VAE"],
+    [9, 8, 0, 9, 0, "IMAGE"]
+  ],
+  groups: [],
+  config: {},
+  extra: {},
+  version: 0.4
+};
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.defaultGraph = window.comfyAPI.defaultGraph || {};
+window.comfyAPI.defaultGraph.defaultGraph = defaultGraph;
+function getFromPngBuffer(buffer2) {
+  const pngData = new Uint8Array(buffer2);
+  const dataView = new DataView(pngData.buffer);
+  if (dataView.getUint32(0) !== 2303741511) {
+    console.error("Not a valid PNG file");
+    return;
+  }
+  let offset = 8;
+  let txt_chunks = {};
+  while (offset < pngData.length) {
+    const length = dataView.getUint32(offset);
+    const type = String.fromCharCode(...pngData.slice(offset + 4, offset + 8));
+    if (type === "tEXt" || type == "comf" || type === "iTXt") {
+      let keyword_end = offset + 8;
+      while (pngData[keyword_end] !== 0) {
+        keyword_end++;
+      }
+      const keyword = String.fromCharCode(
+        ...pngData.slice(offset + 8, keyword_end)
+      );
+      const contentArraySegment = pngData.slice(
+        keyword_end + 1,
+        offset + 8 + length
+      );
+      const contentJson = new TextDecoder("utf-8").decode(contentArraySegment);
+      txt_chunks[keyword] = contentJson;
+    }
+    offset += 12 + length;
+  }
+  return txt_chunks;
+}
+__name(getFromPngBuffer, "getFromPngBuffer");
+function getFromPngFile(file) {
+  return new Promise((r) => {
+    const reader = new FileReader();
+    reader.onload = (event2) => {
+      r(getFromPngBuffer(event2.target.result));
+    };
+    reader.readAsArrayBuffer(file);
+  });
+}
+__name(getFromPngFile, "getFromPngFile");
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.png = window.comfyAPI.png || {};
+window.comfyAPI.png.getFromPngBuffer = getFromPngBuffer;
+window.comfyAPI.png.getFromPngFile = getFromPngFile;
+function getFromFlacBuffer(buffer2) {
+  const dataView = new DataView(buffer2);
+  const signature = String.fromCharCode(...new Uint8Array(buffer2, 0, 4));
+  if (signature !== "fLaC") {
+    console.error("Not a valid FLAC file");
+    return;
+  }
+  let offset = 4;
+  let vorbisComment = null;
+  while (offset < dataView.byteLength) {
+    const isLastBlock = dataView.getUint8(offset) & 128;
+    const blockType = dataView.getUint8(offset) & 127;
+    const blockSize = dataView.getUint32(offset, false) & 16777215;
+    offset += 4;
+    if (blockType === 4) {
+      vorbisComment = parseVorbisComment(
+        new DataView(buffer2, offset, blockSize)
+      );
+    }
+    offset += blockSize;
+    if (isLastBlock) break;
+  }
+  return vorbisComment;
+}
+__name(getFromFlacBuffer, "getFromFlacBuffer");
+function getFromFlacFile(file) {
+  return new Promise((r) => {
+    const reader = new FileReader();
+    reader.onload = function(event2) {
+      const arrayBuffer = event2.target.result;
+      r(getFromFlacBuffer(arrayBuffer));
+    };
+    reader.readAsArrayBuffer(file);
+  });
+}
+__name(getFromFlacFile, "getFromFlacFile");
+function parseVorbisComment(dataView) {
+  let offset = 0;
+  const vendorLength = dataView.getUint32(offset, true);
+  offset += 4;
+  const vendorString = getString(dataView, offset, vendorLength);
+  offset += vendorLength;
+  const userCommentListLength = dataView.getUint32(offset, true);
+  offset += 4;
+  const comments = {};
+  for (let i2 = 0; i2 < userCommentListLength; i2++) {
+    const commentLength = dataView.getUint32(offset, true);
+    offset += 4;
+    const comment = getString(dataView, offset, commentLength);
+    offset += commentLength;
+    const ind = comment.indexOf("=");
+    const key = comment.substring(0, ind);
+    comments[key] = comment.substring(ind + 1);
+  }
+  return comments;
+}
+__name(parseVorbisComment, "parseVorbisComment");
+function getString(dataView, offset, length) {
+  let string = "";
+  for (let i2 = 0; i2 < length; i2++) {
+    string += String.fromCharCode(dataView.getUint8(offset + i2));
+  }
+  return string;
+}
+__name(getString, "getString");
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.flac = window.comfyAPI.flac || {};
+window.comfyAPI.flac.getFromFlacBuffer = getFromFlacBuffer;
+window.comfyAPI.flac.getFromFlacFile = getFromFlacFile;
+function getPngMetadata(file) {
+  return getFromPngFile(file);
+}
+__name(getPngMetadata, "getPngMetadata");
+function getFlacMetadata(file) {
+  return getFromFlacFile(file);
+}
+__name(getFlacMetadata, "getFlacMetadata");
+function parseExifData(exifData) {
+  const isLittleEndian = String.fromCharCode(...exifData.slice(0, 2)) === "II";
+  function readInt(offset, isLittleEndian2, length) {
+    let arr = exifData.slice(offset, offset + length);
+    if (length === 2) {
+      return new DataView(arr.buffer, arr.byteOffset, arr.byteLength).getUint16(
+        0,
+        isLittleEndian2
+      );
+    } else if (length === 4) {
+      return new DataView(arr.buffer, arr.byteOffset, arr.byteLength).getUint32(
+        0,
+        isLittleEndian2
+      );
+    }
+  }
+  __name(readInt, "readInt");
+  const ifdOffset = readInt(4, isLittleEndian, 4);
+  function parseIFD(offset) {
+    const numEntries = readInt(offset, isLittleEndian, 2);
+    const result = {};
+    for (let i2 = 0; i2 < numEntries; i2++) {
+      const entryOffset = offset + 2 + i2 * 12;
+      const tag = readInt(entryOffset, isLittleEndian, 2);
+      const type = readInt(entryOffset + 2, isLittleEndian, 2);
+      const numValues = readInt(entryOffset + 4, isLittleEndian, 4);
+      const valueOffset = readInt(entryOffset + 8, isLittleEndian, 4);
+      let value3;
+      if (type === 2) {
+        value3 = String.fromCharCode(
+          ...exifData.slice(valueOffset, valueOffset + numValues - 1)
+        );
+      }
+      result[tag] = value3;
+    }
+    return result;
+  }
+  __name(parseIFD, "parseIFD");
+  const ifdData = parseIFD(ifdOffset);
+  return ifdData;
+}
+__name(parseExifData, "parseExifData");
+function splitValues(input) {
+  var output = {};
+  for (var key in input) {
+    var value3 = input[key];
+    var splitValues2 = value3.split(":", 2);
+    output[splitValues2[0]] = splitValues2[1];
+  }
+  return output;
+}
+__name(splitValues, "splitValues");
+function getWebpMetadata(file) {
+  return new Promise((r) => {
+    const reader = new FileReader();
+    reader.onload = (event2) => {
+      const webp = new Uint8Array(event2.target.result);
+      const dataView = new DataView(webp.buffer);
+      if (dataView.getUint32(0) !== 1380533830 || dataView.getUint32(8) !== 1464156752) {
+        console.error("Not a valid WEBP file");
+        r({});
+        return;
+      }
+      let offset = 12;
+      let txt_chunks = {};
+      while (offset < webp.length) {
+        const chunk_length = dataView.getUint32(offset + 4, true);
+        const chunk_type = String.fromCharCode(
+          ...webp.slice(offset, offset + 4)
+        );
+        if (chunk_type === "EXIF") {
+          if (String.fromCharCode(...webp.slice(offset + 8, offset + 8 + 6)) == "Exif\0\0") {
+            offset += 6;
+          }
+          let data24 = parseExifData(
+            webp.slice(offset + 8, offset + 8 + chunk_length)
+          );
+          for (var key in data24) {
+            var value3 = data24[key];
+            let index2 = value3.indexOf(":");
+            txt_chunks[value3.slice(0, index2)] = value3.slice(index2 + 1);
+          }
+          break;
+        }
+        offset += 8 + chunk_length;
+      }
+      r(txt_chunks);
+    };
+    reader.readAsArrayBuffer(file);
+  });
+}
+__name(getWebpMetadata, "getWebpMetadata");
+function getLatentMetadata(file) {
+  return new Promise((r) => {
+    const reader = new FileReader();
+    reader.onload = (event2) => {
+      const safetensorsData = new Uint8Array(event2.target.result);
+      const dataView = new DataView(safetensorsData.buffer);
+      let header_size = dataView.getUint32(0, true);
+      let offset = 8;
+      let header = JSON.parse(
+        new TextDecoder().decode(
+          safetensorsData.slice(offset, offset + header_size)
+        )
+      );
+      r(header.__metadata__);
+    };
+    var slice = file.slice(0, 1024 * 1024 * 4);
+    reader.readAsArrayBuffer(slice);
+  });
+}
+__name(getLatentMetadata, "getLatentMetadata");
+async function importA1111(graph, parameters) {
+  const p2 = parameters.lastIndexOf("\nSteps:");
+  if (p2 > -1) {
+    const embeddings = await api.getEmbeddings();
+    const opts = parameters.substr(p2).split("\n")[1].match(
+      new RegExp('\\s*([^:]+:\\s*([^"\\{].*?|".*?"|\\{.*?\\}))\\s*(,|$)', "g")
+    ).reduce((p3, n) => {
+      const s = n.split(":");
+      if (s[1].endsWith(",")) {
+        s[1] = s[1].substr(0, s[1].length - 1);
+      }
+      p3[s[0].trim().toLowerCase()] = s[1].trim();
+      return p3;
+    }, {});
+    const p22 = parameters.lastIndexOf("\nNegative prompt:", p2);
+    if (p22 > -1) {
+      let positive = parameters.substr(0, p22).trim();
+      let negative = parameters.substring(p22 + 18, p2).trim();
+      const ckptNode = LiteGraph.createNode("CheckpointLoaderSimple");
+      const clipSkipNode = LiteGraph.createNode("CLIPSetLastLayer");
+      const positiveNode = LiteGraph.createNode("CLIPTextEncode");
+      const negativeNode = LiteGraph.createNode("CLIPTextEncode");
+      const samplerNode = LiteGraph.createNode("KSampler");
+      const imageNode = LiteGraph.createNode("EmptyLatentImage");
+      const vaeNode = LiteGraph.createNode("VAEDecode");
+      const vaeLoaderNode = LiteGraph.createNode("VAELoader");
+      const saveNode = LiteGraph.createNode("SaveImage");
+      let hrSamplerNode = null;
+      let hrSteps = null;
+      const ceil64 = /* @__PURE__ */ __name((v2) => Math.ceil(v2 / 64) * 64, "ceil64");
+      const getWidget = /* @__PURE__ */ __name((node3, name) => {
+        return node3.widgets.find((w2) => w2.name === name);
+      }, "getWidget");
+      const setWidgetValue = /* @__PURE__ */ __name((node3, name, value3, isOptionPrefix) => {
+        const w2 = getWidget(node3, name);
+        if (isOptionPrefix) {
+          const o = w2.options.values.find((w22) => w22.startsWith(value3));
+          if (o) {
+            w2.value = o;
+          } else {
+            console.warn(`Unknown value '${value3}' for widget '${name}'`, node3);
+            w2.value = value3;
+          }
+        } else {
+          w2.value = value3;
+        }
+      }, "setWidgetValue");
+      const createLoraNodes = /* @__PURE__ */ __name((clipNode, text, prevClip, prevModel) => {
+        const loras = [];
+        text = text.replace(/<lora:([^:]+:[^>]+)>/g, function(m, c) {
+          const s = c.split(":");
+          const weight = parseFloat(s[1]);
+          if (isNaN(weight)) {
+            console.warn("Invalid LORA", m);
+          } else {
+            loras.push({ name: s[0], weight });
+          }
+          return "";
+        });
+        for (const l of loras) {
+          const loraNode = LiteGraph.createNode("LoraLoader");
+          graph.add(loraNode);
+          setWidgetValue(loraNode, "lora_name", l.name, true);
+          setWidgetValue(loraNode, "strength_model", l.weight);
+          setWidgetValue(loraNode, "strength_clip", l.weight);
+          prevModel.node.connect(prevModel.index, loraNode, 0);
+          prevClip.node.connect(prevClip.index, loraNode, 1);
+          prevModel = { node: loraNode, index: 0 };
+          prevClip = { node: loraNode, index: 1 };
+        }
+        prevClip.node.connect(1, clipNode, 0);
+        prevModel.node.connect(0, samplerNode, 0);
+        if (hrSamplerNode) {
+          prevModel.node.connect(0, hrSamplerNode, 0);
+        }
+        return { text, prevModel, prevClip };
+      }, "createLoraNodes");
+      const replaceEmbeddings = /* @__PURE__ */ __name((text) => {
+        if (!embeddings.length) return text;
+        return text.replaceAll(
+          new RegExp(
+            "\\b(" + embeddings.map((e) => e.replace(/[.*+?^${}()|[\]\\]/g, "\\$&")).join("\\b|\\b") + ")\\b",
+            "ig"
+          ),
+          "embedding:$1"
+        );
+      }, "replaceEmbeddings");
+      const popOpt = /* @__PURE__ */ __name((name) => {
+        const v2 = opts[name];
+        delete opts[name];
+        return v2;
+      }, "popOpt");
+      graph.clear();
+      graph.add(ckptNode);
+      graph.add(clipSkipNode);
+      graph.add(positiveNode);
+      graph.add(negativeNode);
+      graph.add(samplerNode);
+      graph.add(imageNode);
+      graph.add(vaeNode);
+      graph.add(vaeLoaderNode);
+      graph.add(saveNode);
+      ckptNode.connect(1, clipSkipNode, 0);
+      clipSkipNode.connect(0, positiveNode, 0);
+      clipSkipNode.connect(0, negativeNode, 0);
+      ckptNode.connect(0, samplerNode, 0);
+      positiveNode.connect(0, samplerNode, 1);
+      negativeNode.connect(0, samplerNode, 2);
+      imageNode.connect(0, samplerNode, 3);
+      vaeNode.connect(0, saveNode, 0);
+      samplerNode.connect(0, vaeNode, 0);
+      vaeLoaderNode.connect(0, vaeNode, 1);
+      const handlers2 = {
+        model(v2) {
+          setWidgetValue(ckptNode, "ckpt_name", v2, true);
+        },
+        vae(v2) {
+          setWidgetValue(vaeLoaderNode, "vae_name", v2, true);
+        },
+        "cfg scale"(v2) {
+          setWidgetValue(samplerNode, "cfg", +v2);
+        },
+        "clip skip"(v2) {
+          setWidgetValue(clipSkipNode, "stop_at_clip_layer", -v2);
+        },
+        sampler(v2) {
+          let name = v2.toLowerCase().replace("++", "pp").replaceAll(" ", "_");
+          if (name.includes("karras")) {
+            name = name.replace("karras", "").replace(/_+$/, "");
+            setWidgetValue(samplerNode, "scheduler", "karras");
+          } else {
+            setWidgetValue(samplerNode, "scheduler", "normal");
+          }
+          const w2 = getWidget(samplerNode, "sampler_name");
+          const o = w2.options.values.find(
+            (w22) => w22 === name || w22 === "sample_" + name
+          );
+          if (o) {
+            setWidgetValue(samplerNode, "sampler_name", o);
+          }
+        },
+        size(v2) {
+          const wxh = v2.split("x");
+          const w2 = ceil64(+wxh[0]);
+          const h2 = ceil64(+wxh[1]);
+          const hrUp = popOpt("hires upscale");
+          const hrSz = popOpt("hires resize");
+          hrSteps = popOpt("hires steps");
+          let hrMethod = popOpt("hires upscaler");
+          setWidgetValue(imageNode, "width", w2);
+          setWidgetValue(imageNode, "height", h2);
+          if (hrUp || hrSz) {
+            let uw, uh;
+            if (hrUp) {
+              uw = w2 * hrUp;
+              uh = h2 * hrUp;
+            } else {
+              const s = hrSz.split("x");
+              uw = +s[0];
+              uh = +s[1];
+            }
+            let upscaleNode;
+            let latentNode;
+            if (hrMethod.startsWith("Latent")) {
+              latentNode = upscaleNode = LiteGraph.createNode("LatentUpscale");
+              graph.add(upscaleNode);
+              samplerNode.connect(0, upscaleNode, 0);
+              switch (hrMethod) {
+                case "Latent (nearest-exact)":
+                  hrMethod = "nearest-exact";
+                  break;
+              }
+              setWidgetValue(upscaleNode, "upscale_method", hrMethod, true);
+            } else {
+              const decode = LiteGraph.createNode("VAEDecodeTiled");
+              graph.add(decode);
+              samplerNode.connect(0, decode, 0);
+              vaeLoaderNode.connect(0, decode, 1);
+              const upscaleLoaderNode = LiteGraph.createNode("UpscaleModelLoader");
+              graph.add(upscaleLoaderNode);
+              setWidgetValue(upscaleLoaderNode, "model_name", hrMethod, true);
+              const modelUpscaleNode = LiteGraph.createNode(
+                "ImageUpscaleWithModel"
+              );
+              graph.add(modelUpscaleNode);
+              decode.connect(0, modelUpscaleNode, 1);
+              upscaleLoaderNode.connect(0, modelUpscaleNode, 0);
+              upscaleNode = LiteGraph.createNode("ImageScale");
+              graph.add(upscaleNode);
+              modelUpscaleNode.connect(0, upscaleNode, 0);
+              const vaeEncodeNode = latentNode = LiteGraph.createNode("VAEEncodeTiled");
+              graph.add(vaeEncodeNode);
+              upscaleNode.connect(0, vaeEncodeNode, 0);
+              vaeLoaderNode.connect(0, vaeEncodeNode, 1);
+            }
+            setWidgetValue(upscaleNode, "width", ceil64(uw));
+            setWidgetValue(upscaleNode, "height", ceil64(uh));
+            hrSamplerNode = LiteGraph.createNode("KSampler");
+            graph.add(hrSamplerNode);
+            ckptNode.connect(0, hrSamplerNode, 0);
+            positiveNode.connect(0, hrSamplerNode, 1);
+            negativeNode.connect(0, hrSamplerNode, 2);
+            latentNode.connect(0, hrSamplerNode, 3);
+            hrSamplerNode.connect(0, vaeNode, 0);
+          }
+        },
+        steps(v2) {
+          setWidgetValue(samplerNode, "steps", +v2);
+        },
+        seed(v2) {
+          setWidgetValue(samplerNode, "seed", +v2);
+        }
+      };
+      for (const opt in opts) {
+        if (opt in handlers2) {
+          handlers2[opt](popOpt(opt));
+        }
+      }
+      if (hrSamplerNode) {
+        setWidgetValue(
+          hrSamplerNode,
+          "steps",
+          hrSteps ? +hrSteps : getWidget(samplerNode, "steps").value
+        );
+        setWidgetValue(
+          hrSamplerNode,
+          "cfg",
+          getWidget(samplerNode, "cfg").value
+        );
+        setWidgetValue(
+          hrSamplerNode,
+          "scheduler",
+          getWidget(samplerNode, "scheduler").value
+        );
+        setWidgetValue(
+          hrSamplerNode,
+          "sampler_name",
+          getWidget(samplerNode, "sampler_name").value
+        );
+        setWidgetValue(
+          hrSamplerNode,
+          "denoise",
+          +(popOpt("denoising strength") || "1")
+        );
+      }
+      let n = createLoraNodes(
+        positiveNode,
+        positive,
+        { node: clipSkipNode, index: 0 },
+        { node: ckptNode, index: 0 }
+      );
+      positive = n.text;
+      n = createLoraNodes(negativeNode, negative, n.prevClip, n.prevModel);
+      negative = n.text;
+      setWidgetValue(positiveNode, "text", replaceEmbeddings(positive));
+      setWidgetValue(negativeNode, "text", replaceEmbeddings(negative));
+      graph.arrange();
+      for (const opt of [
+        "model hash",
+        "ensd",
+        "version",
+        "vae hash",
+        "ti hashes",
+        "lora hashes",
+        "hashes"
+      ]) {
+        delete opts[opt];
+      }
+      console.warn("Unhandled parameters:", opts);
+    }
+  }
+}
+__name(importA1111, "importA1111");
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.pnginfo = window.comfyAPI.pnginfo || {};
+window.comfyAPI.pnginfo.getPngMetadata = getPngMetadata;
+window.comfyAPI.pnginfo.getFlacMetadata = getFlacMetadata;
+window.comfyAPI.pnginfo.getWebpMetadata = getWebpMetadata;
+window.comfyAPI.pnginfo.getLatentMetadata = getLatentMetadata;
+window.comfyAPI.pnginfo.importA1111 = importA1111;
+function calculateImageGrid(imgs, dw, dh) {
+  let best = 0;
+  let w2 = imgs[0].naturalWidth;
+  let h2 = imgs[0].naturalHeight;
+  const numImages = imgs.length;
+  let cellWidth, cellHeight, cols, rows, shiftX;
+  for (let c = 1; c <= numImages; c++) {
+    const r = Math.ceil(numImages / c);
+    const cW = dw / c;
+    const cH = dh / r;
+    const scaleX = cW / w2;
+    const scaleY = cH / h2;
+    const scale = Math.min(scaleX, scaleY, 1);
+    const imageW = w2 * scale;
+    const imageH = h2 * scale;
+    const area = imageW * imageH * numImages;
+    if (area > best) {
+      best = area;
+      cellWidth = imageW;
+      cellHeight = imageH;
+      cols = c;
+      rows = r;
+      shiftX = c * ((cW - imageW) / 2);
+    }
+  }
+  return { cellWidth, cellHeight, cols, rows, shiftX };
+}
+__name(calculateImageGrid, "calculateImageGrid");
+function createImageHost(node3) {
+  const el = $el("div.comfy-img-preview");
+  let currentImgs;
+  let first = true;
+  function updateSize() {
+    let w2 = null;
+    let h2 = null;
+    if (currentImgs) {
+      let elH = el.clientHeight;
+      if (first) {
+        first = false;
+        if (elH < 190) {
+          elH = 190;
+        }
+        el.style.setProperty("--comfy-widget-min-height", elH.toString());
+      } else {
+        el.style.setProperty("--comfy-widget-min-height", null);
+      }
+      const nw = node3.size[0];
+      ({ cellWidth: w2, cellHeight: h2 } = calculateImageGrid(
+        currentImgs,
+        nw - 20,
+        elH
+      ));
+      w2 += "px";
+      h2 += "px";
+      el.style.setProperty("--comfy-img-preview-width", w2);
+      el.style.setProperty("--comfy-img-preview-height", h2);
+    }
+  }
+  __name(updateSize, "updateSize");
+  return {
+    el,
+    updateImages(imgs) {
+      if (imgs !== currentImgs) {
+        if (currentImgs == null) {
+          requestAnimationFrame(() => {
+            updateSize();
+          });
+        }
+        el.replaceChildren(...imgs);
+        currentImgs = imgs;
+        node3.onResize(node3.size);
+        node3.graph.setDirtyCanvas(true, true);
+      }
+    },
+    getHeight() {
+      updateSize();
+    },
+    onDraw() {
+      el.style.pointerEvents = "all";
+      const over = document.elementFromPoint(
+        app$1.canvas.mouse[0],
+        app$1.canvas.mouse[1]
+      );
+      el.style.pointerEvents = "none";
+      if (!over) return;
+      const idx = currentImgs.indexOf(over);
+      node3.overIndex = idx;
+    }
+  };
+}
+__name(createImageHost, "createImageHost");
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.imagePreview = window.comfyAPI.imagePreview || {};
+window.comfyAPI.imagePreview.calculateImageGrid = calculateImageGrid;
+window.comfyAPI.imagePreview.createImageHost = createImageHost;
+$el("style", {
+  parent: document.head,
+  textContent: `
+        .draggable-item {
+            position: relative;
+            will-change: transform;
+            user-select: none;
+        }
+        .draggable-item.is-idle {
+            transition: 0.25s ease transform;
+        }
+        .draggable-item.is-draggable {
+            z-index: 10;
+        }
+    `
+});
+class DraggableList extends EventTarget {
+  static {
+    __name(this, "DraggableList");
+  }
+  listContainer;
+  draggableItem;
+  pointerStartX;
+  pointerStartY;
+  scrollYMax;
+  itemsGap = 0;
+  items = [];
+  itemSelector;
+  handleClass = "drag-handle";
+  off = [];
+  offDrag = [];
+  constructor(element, itemSelector) {
+    super();
+    this.listContainer = element;
+    this.itemSelector = itemSelector;
+    if (!this.listContainer) return;
+    this.off.push(this.on(this.listContainer, "mousedown", this.dragStart));
+    this.off.push(this.on(this.listContainer, "touchstart", this.dragStart));
+    this.off.push(this.on(document, "mouseup", this.dragEnd));
+    this.off.push(this.on(document, "touchend", this.dragEnd));
+  }
+  getAllItems() {
+    if (!this.items?.length) {
+      this.items = Array.from(
+        this.listContainer.querySelectorAll(this.itemSelector)
+      );
+      this.items.forEach((element) => {
+        element.classList.add("is-idle");
+      });
+    }
+    return this.items;
+  }
+  getIdleItems() {
+    return this.getAllItems().filter(
+      (item2) => item2.classList.contains("is-idle")
+    );
+  }
+  isItemAbove(item2) {
+    return item2.hasAttribute("data-is-above");
+  }
+  isItemToggled(item2) {
+    return item2.hasAttribute("data-is-toggled");
+  }
+  on(source, event2, listener, options3) {
+    listener = listener.bind(this);
+    source.addEventListener(event2, listener, options3);
+    return () => source.removeEventListener(event2, listener);
+  }
+  dragStart(e) {
+    if (e.target.classList.contains(this.handleClass)) {
+      this.draggableItem = e.target.closest(this.itemSelector);
+    }
+    if (!this.draggableItem) return;
+    this.pointerStartX = e.clientX || e.touches[0].clientX;
+    this.pointerStartY = e.clientY || e.touches[0].clientY;
+    this.scrollYMax = this.listContainer.scrollHeight - this.listContainer.clientHeight;
+    this.setItemsGap();
+    this.initDraggableItem();
+    this.initItemsState();
+    this.offDrag.push(this.on(document, "mousemove", this.drag));
+    this.offDrag.push(
+      this.on(document, "touchmove", this.drag, { passive: false })
+    );
+    this.dispatchEvent(
+      new CustomEvent("dragstart", {
+        detail: {
+          element: this.draggableItem,
+          position: this.getAllItems().indexOf(this.draggableItem)
+        }
+      })
+    );
+  }
+  setItemsGap() {
+    if (this.getIdleItems().length <= 1) {
+      this.itemsGap = 0;
+      return;
+    }
+    const item1 = this.getIdleItems()[0];
+    const item2 = this.getIdleItems()[1];
+    const item1Rect = item1.getBoundingClientRect();
+    const item2Rect = item2.getBoundingClientRect();
+    this.itemsGap = Math.abs(item1Rect.bottom - item2Rect.top);
+  }
+  initItemsState() {
+    this.getIdleItems().forEach((item2, i2) => {
+      if (this.getAllItems().indexOf(this.draggableItem) > i2) {
+        item2.dataset.isAbove = "";
+      }
+    });
+  }
+  initDraggableItem() {
+    this.draggableItem.classList.remove("is-idle");
+    this.draggableItem.classList.add("is-draggable");
+  }
+  drag(e) {
+    if (!this.draggableItem) return;
+    e.preventDefault();
+    const clientX = e.clientX || e.touches[0].clientX;
+    const clientY = e.clientY || e.touches[0].clientY;
+    const listRect = this.listContainer.getBoundingClientRect();
+    if (clientY > listRect.bottom) {
+      if (this.listContainer.scrollTop < this.scrollYMax) {
+        this.listContainer.scrollBy(0, 10);
+        this.pointerStartY -= 10;
+      }
+    } else if (clientY < listRect.top && this.listContainer.scrollTop > 0) {
+      this.pointerStartY += 10;
+      this.listContainer.scrollBy(0, -10);
+    }
+    const pointerOffsetX = clientX - this.pointerStartX;
+    const pointerOffsetY = clientY - this.pointerStartY;
+    this.updateIdleItemsStateAndPosition();
+    this.draggableItem.style.transform = `translate(${pointerOffsetX}px, ${pointerOffsetY}px)`;
+  }
+  updateIdleItemsStateAndPosition() {
+    const draggableItemRect = this.draggableItem.getBoundingClientRect();
+    const draggableItemY = draggableItemRect.top + draggableItemRect.height / 2;
+    this.getIdleItems().forEach((item2) => {
+      const itemRect = item2.getBoundingClientRect();
+      const itemY = itemRect.top + itemRect.height / 2;
+      if (this.isItemAbove(item2)) {
+        if (draggableItemY <= itemY) {
+          item2.dataset.isToggled = "";
+        } else {
+          delete item2.dataset.isToggled;
+        }
+      } else {
+        if (draggableItemY >= itemY) {
+          item2.dataset.isToggled = "";
+        } else {
+          delete item2.dataset.isToggled;
+        }
+      }
+    });
+    this.getIdleItems().forEach((item2) => {
+      if (this.isItemToggled(item2)) {
+        const direction = this.isItemAbove(item2) ? 1 : -1;
+        item2.style.transform = `translateY(${direction * (draggableItemRect.height + this.itemsGap)}px)`;
+      } else {
+        item2.style.transform = "";
+      }
+    });
+  }
+  dragEnd() {
+    if (!this.draggableItem) return;
+    this.applyNewItemsOrder();
+    this.cleanup();
+  }
+  applyNewItemsOrder() {
+    const reorderedItems = [];
+    let oldPosition = -1;
+    this.getAllItems().forEach((item2, index2) => {
+      if (item2 === this.draggableItem) {
+        oldPosition = index2;
+        return;
+      }
+      if (!this.isItemToggled(item2)) {
+        reorderedItems[index2] = item2;
+        return;
+      }
+      const newIndex = this.isItemAbove(item2) ? index2 + 1 : index2 - 1;
+      reorderedItems[newIndex] = item2;
+    });
+    for (let index2 = 0; index2 < this.getAllItems().length; index2++) {
+      const item2 = reorderedItems[index2];
+      if (typeof item2 === "undefined") {
+        reorderedItems[index2] = this.draggableItem;
+      }
+    }
+    reorderedItems.forEach((item2) => {
+      this.listContainer.appendChild(item2);
+    });
+    this.items = reorderedItems;
+    this.dispatchEvent(
+      new CustomEvent("dragend", {
+        detail: {
+          element: this.draggableItem,
+          oldPosition,
+          newPosition: reorderedItems.indexOf(this.draggableItem)
+        }
+      })
+    );
+  }
+  cleanup() {
+    this.itemsGap = 0;
+    this.items = [];
+    this.unsetDraggableItem();
+    this.unsetItemState();
+    this.offDrag.forEach((f) => f());
+    this.offDrag = [];
+  }
+  unsetDraggableItem() {
+    this.draggableItem.style = null;
+    this.draggableItem.classList.remove("is-draggable");
+    this.draggableItem.classList.add("is-idle");
+    this.draggableItem = null;
+  }
+  unsetItemState() {
+    this.getIdleItems().forEach((item2, i2) => {
+      delete item2.dataset.isAbove;
+      delete item2.dataset.isToggled;
+      item2.style.transform = "";
+    });
+  }
+  dispose() {
+    this.off.forEach((f) => f());
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.draggableList = window.comfyAPI.draggableList || {};
+window.comfyAPI.draggableList.DraggableList = DraggableList;
+const parts = {
+  d: /* @__PURE__ */ __name((d) => d.getDate(), "d"),
+  M: /* @__PURE__ */ __name((d) => d.getMonth() + 1, "M"),
+  h: /* @__PURE__ */ __name((d) => d.getHours(), "h"),
+  m: /* @__PURE__ */ __name((d) => d.getMinutes(), "m"),
+  s: /* @__PURE__ */ __name((d) => d.getSeconds(), "s")
+};
+const format$1 = Object.keys(parts).map((k) => k + k + "?").join("|") + "|yyy?y?";
+function formatDate(text, date) {
+  return text.replace(new RegExp(format$1, "g"), (text2) => {
+    if (text2 === "yy") return (date.getFullYear() + "").substring(2);
+    if (text2 === "yyyy") return date.getFullYear().toString();
+    if (text2[0] in parts) {
+      const p2 = parts[text2[0]](date);
+      return (p2 + "").padStart(text2.length, "0");
+    }
+    return text2;
+  });
+}
+__name(formatDate, "formatDate");
+function clone(obj) {
+  try {
+    if (typeof structuredClone !== "undefined") {
+      return structuredClone(obj);
+    }
+  } catch (error) {
+  }
+  return JSON.parse(JSON.stringify(obj));
+}
+__name(clone, "clone");
+function applyTextReplacements(app2, value3) {
+  return value3.replace(/%([^%]+)%/g, function(match, text) {
+    const split = text.split(".");
+    if (split.length !== 2) {
+      if (split[0].startsWith("date:")) {
+        return formatDate(split[0].substring(5), /* @__PURE__ */ new Date());
+      }
+      if (text !== "width" && text !== "height") {
+        console.warn("Invalid replacement pattern", text);
+      }
+      return match;
+    }
+    let nodes = app2.graph._nodes.filter(
+      (n) => n.properties?.["Node name for S&R"] === split[0]
+    );
+    if (!nodes.length) {
+      nodes = app2.graph._nodes.filter((n) => n.title === split[0]);
+    }
+    if (!nodes.length) {
+      console.warn("Unable to find node", split[0]);
+      return match;
+    }
+    if (nodes.length > 1) {
+      console.warn("Multiple nodes matched", split[0], "using first match");
+    }
+    const node3 = nodes[0];
+    const widget = node3.widgets?.find((w2) => w2.name === split[1]);
+    if (!widget) {
+      console.warn("Unable to find widget", split[1], "on node", split[0], node3);
+      return match;
+    }
+    return ((widget.value ?? "") + "").replaceAll(/\/|\\/g, "_");
+  });
+}
+__name(applyTextReplacements, "applyTextReplacements");
+async function addStylesheet(urlOrFile, relativeTo) {
+  return new Promise((res, rej) => {
+    let url;
+    if (urlOrFile.endsWith(".js")) {
+      url = urlOrFile.substr(0, urlOrFile.length - 2) + "css";
+    } else {
+      url = new URL(
+        urlOrFile,
+        relativeTo ?? `${window.location.protocol}//${window.location.host}`
+      ).toString();
+    }
+    $el("link", {
+      parent: document.head,
+      rel: "stylesheet",
+      type: "text/css",
+      href: url,
+      onload: res,
+      onerror: rej
+    });
+  });
+}
+__name(addStylesheet, "addStylesheet");
+function downloadBlob(filename, blob) {
+  const url = URL.createObjectURL(blob);
+  const a = $el("a", {
+    href: url,
+    download: filename,
+    style: { display: "none" },
+    parent: document.body
+  });
+  a.click();
+  setTimeout(function() {
+    a.remove();
+    window.URL.revokeObjectURL(url);
+  }, 0);
+}
+__name(downloadBlob, "downloadBlob");
+function prop(target, name, defaultValue, onChanged) {
+  let currentValue;
+  Object.defineProperty(target, name, {
+    get() {
+      return currentValue;
+    },
+    set(newValue) {
+      const prevValue = currentValue;
+      currentValue = newValue;
+      onChanged?.(currentValue, prevValue, target, name);
+    }
+  });
+  return defaultValue;
+}
+__name(prop, "prop");
+function getStorageValue(id2) {
+  const clientId = api.clientId ?? api.initialClientId;
+  return (clientId && sessionStorage.getItem(`${id2}:${clientId}`)) ?? localStorage.getItem(id2);
+}
+__name(getStorageValue, "getStorageValue");
+function setStorageValue(id2, value3) {
+  const clientId = api.clientId ?? api.initialClientId;
+  if (clientId) {
+    sessionStorage.setItem(`${id2}:${clientId}`, value3);
+  }
+  localStorage.setItem(id2, value3);
+}
+__name(setStorageValue, "setStorageValue");
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.utils = window.comfyAPI.utils || {};
+window.comfyAPI.utils.clone = clone;
+window.comfyAPI.utils.applyTextReplacements = applyTextReplacements;
+window.comfyAPI.utils.addStylesheet = addStylesheet;
+window.comfyAPI.utils.downloadBlob = downloadBlob;
+window.comfyAPI.utils.prop = prop;
+window.comfyAPI.utils.getStorageValue = getStorageValue;
+window.comfyAPI.utils.setStorageValue = setStorageValue;
+function rgbToHsl({ r, g, b }) {
+  r /= 255;
+  g /= 255;
+  b /= 255;
+  const max = Math.max(r, g, b), min = Math.min(r, g, b);
+  let h2, s;
+  const l = (max + min) / 2;
+  if (max === min) {
+    h2 = s = 0;
+  } else {
+    const d = max - min;
+    s = l > 0.5 ? d / (2 - max - min) : d / (max + min);
+    switch (max) {
+      case r:
+        h2 = (g - b) / d + (g < b ? 6 : 0);
+        break;
+      case g:
+        h2 = (b - r) / d + 2;
+        break;
+      case b:
+        h2 = (r - g) / d + 4;
+        break;
+    }
+    h2 /= 6;
+  }
+  return { h: h2, s, l };
+}
+__name(rgbToHsl, "rgbToHsl");
+function hslToRgb({ h: h2, s, l }) {
+  let r, g, b;
+  if (s === 0) {
+    r = g = b = l;
+  } else {
+    const hue2rgb = /* @__PURE__ */ __name((p22, q2, t) => {
+      if (t < 0) t += 1;
+      if (t > 1) t -= 1;
+      if (t < 1 / 6) return p22 + (q2 - p22) * 6 * t;
+      if (t < 1 / 2) return q2;
+      if (t < 2 / 3) return p22 + (q2 - p22) * (2 / 3 - t) * 6;
+      return p22;
+    }, "hue2rgb");
+    const q = l < 0.5 ? l * (1 + s) : l + s - l * s;
+    const p2 = 2 * l - q;
+    r = hue2rgb(p2, q, h2 + 1 / 3);
+    g = hue2rgb(p2, q, h2);
+    b = hue2rgb(p2, q, h2 - 1 / 3);
+  }
+  return {
+    r: Math.round(r * 255),
+    g: Math.round(g * 255),
+    b: Math.round(b * 255)
+  };
+}
+__name(hslToRgb, "hslToRgb");
+function hexToRgb(hex) {
+  let r = 0, g = 0, b = 0;
+  if (hex.length == 4) {
+    r = parseInt(hex[1] + hex[1], 16);
+    g = parseInt(hex[2] + hex[2], 16);
+    b = parseInt(hex[3] + hex[3], 16);
+  } else if (hex.length == 7) {
+    r = parseInt(hex.slice(1, 3), 16);
+    g = parseInt(hex.slice(3, 5), 16);
+    b = parseInt(hex.slice(5, 7), 16);
+  }
+  return { r, g, b };
+}
+__name(hexToRgb, "hexToRgb");
+function rgbToHex({ r, g, b }) {
+  return "#" + [r, g, b].map((x2) => {
+    const hex = x2.toString(16);
+    return hex.length === 1 ? "0" + hex : hex;
+  }).join("");
+}
+__name(rgbToHex, "rgbToHex");
+function lightenColor(hex, amount) {
+  let rgb = hexToRgb(hex);
+  const hsl = rgbToHsl(rgb);
+  hsl.l = Math.min(1, hsl.l + amount);
+  rgb = hslToRgb(hsl);
+  return rgbToHex(rgb);
+}
+__name(lightenColor, "lightenColor");
+function applyClasses(element, classList, ...requiredClasses) {
+  classList ??= "";
+  let str;
+  if (typeof classList === "string") {
+    str = classList;
+  } else if (classList instanceof Array) {
+    str = classList.join(" ");
+  } else {
+    str = Object.entries(classList).reduce((p2, c) => {
+      if (c[1]) {
+        p2 += (p2.length ? " " : "") + c[0];
+      }
+      return p2;
+    }, "");
+  }
+  element.className = str;
+  if (requiredClasses) {
+    element.classList.add(...requiredClasses);
+  }
+}
+__name(applyClasses, "applyClasses");
+function toggleElement(element, {
+  onHide: onHide2,
+  onShow
+} = {}) {
+  let placeholder;
+  let hidden;
+  return (value3) => {
+    if (value3) {
+      if (hidden) {
+        hidden = false;
+        placeholder.replaceWith(element);
+      }
+      onShow?.(element, value3);
+    } else {
+      if (!placeholder) {
+        placeholder = document.createComment("");
+      }
+      hidden = true;
+      element.replaceWith(placeholder);
+      onHide2?.(element);
+    }
+  };
+}
+__name(toggleElement, "toggleElement");
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.utils = window.comfyAPI.utils || {};
+window.comfyAPI.utils.applyClasses = applyClasses;
+window.comfyAPI.utils.toggleElement = toggleElement;
+class ComfyButton {
+  static {
+    __name(this, "ComfyButton");
+  }
+  #over = 0;
+  #popupOpen = false;
+  isOver = false;
+  iconElement = $el("i.mdi");
+  contentElement = $el("span");
+  popup;
+  element;
+  overIcon;
+  iconSize;
+  content;
+  icon;
+  tooltip;
+  classList;
+  hidden;
+  enabled;
+  action;
+  constructor({
+    icon: icon2,
+    overIcon,
+    iconSize,
+    content,
+    tooltip,
+    action,
+    classList = "comfyui-button",
+    visibilitySetting,
+    app: app2,
+    enabled = true
+  }) {
+    this.element = $el(
+      "button",
+      {
+        onmouseenter: /* @__PURE__ */ __name(() => {
+          this.isOver = true;
+          if (this.overIcon) {
+            this.updateIcon();
+          }
+        }, "onmouseenter"),
+        onmouseleave: /* @__PURE__ */ __name(() => {
+          this.isOver = false;
+          if (this.overIcon) {
+            this.updateIcon();
+          }
+        }, "onmouseleave")
+      },
+      [this.iconElement, this.contentElement]
+    );
+    this.icon = prop(
+      this,
+      "icon",
+      icon2,
+      toggleElement(this.iconElement, { onShow: this.updateIcon })
+    );
+    this.overIcon = prop(this, "overIcon", overIcon, () => {
+      if (this.isOver) {
+        this.updateIcon();
+      }
+    });
+    this.iconSize = prop(this, "iconSize", iconSize, this.updateIcon);
+    this.content = prop(
+      this,
+      "content",
+      content,
+      toggleElement(this.contentElement, {
+        onShow: /* @__PURE__ */ __name((el, v2) => {
+          if (typeof v2 === "string") {
+            el.textContent = v2;
+          } else {
+            el.replaceChildren(v2);
+          }
+        }, "onShow")
+      })
+    );
+    this.tooltip = prop(this, "tooltip", tooltip, (v2) => {
+      if (v2) {
+        this.element.title = v2;
+      } else {
+        this.element.removeAttribute("title");
+      }
+    });
+    this.classList = prop(this, "classList", classList, this.updateClasses);
+    this.hidden = prop(this, "hidden", false, this.updateClasses);
+    this.enabled = prop(this, "enabled", enabled, () => {
+      this.updateClasses();
+      this.element.disabled = !this.enabled;
+    });
+    this.action = prop(this, "action", action);
+    this.element.addEventListener("click", (e) => {
+      if (this.popup) {
+        if (!this.#over) {
+          this.popup.toggle();
+        }
+      }
+      this.action?.(e, this);
+    });
+    if (visibilitySetting?.id) {
+      const settingUpdated = /* @__PURE__ */ __name(() => {
+        this.hidden = app2.ui.settings.getSettingValue(visibilitySetting.id) !== visibilitySetting.showValue;
+      }, "settingUpdated");
+      app2.ui.settings.addEventListener(
+        visibilitySetting.id + ".change",
+        settingUpdated
+      );
+      settingUpdated();
+    }
+  }
+  updateIcon = /* @__PURE__ */ __name(() => this.iconElement.className = `mdi mdi-${this.isOver && this.overIcon || this.icon}${this.iconSize ? " mdi-" + this.iconSize + "px" : ""}`, "updateIcon");
+  updateClasses = /* @__PURE__ */ __name(() => {
+    const internalClasses = [];
+    if (this.hidden) {
+      internalClasses.push("hidden");
+    }
+    if (!this.enabled) {
+      internalClasses.push("disabled");
+    }
+    if (this.popup) {
+      if (this.#popupOpen) {
+        internalClasses.push("popup-open");
+      } else {
+        internalClasses.push("popup-closed");
+      }
+    }
+    applyClasses(this.element, this.classList, ...internalClasses);
+  }, "updateClasses");
+  withPopup(popup, mode2 = "click") {
+    this.popup = popup;
+    if (mode2 === "hover") {
+      for (const el of [this.element, this.popup.element]) {
+        el.addEventListener("mouseenter", () => {
+          this.popup.open = !!++this.#over;
+        });
+        el.addEventListener("mouseleave", () => {
+          this.popup.open = !!--this.#over;
+        });
+      }
+    }
+    popup.addEventListener("change", () => {
+      this.#popupOpen = popup.open;
+      this.updateClasses();
+    });
+    return this;
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.button = window.comfyAPI.button || {};
+window.comfyAPI.button.ComfyButton = ComfyButton;
+class ComfyButtonGroup {
+  static {
+    __name(this, "ComfyButtonGroup");
+  }
+  element = $el("div.comfyui-button-group");
+  buttons;
+  constructor(...buttons) {
+    this.buttons = prop(this, "buttons", buttons, () => this.update());
+  }
+  insert(button, index2) {
+    this.buttons.splice(index2, 0, button);
+    this.update();
+  }
+  append(button) {
+    this.buttons.push(button);
+    this.update();
+  }
+  remove(indexOrButton) {
+    if (typeof indexOrButton !== "number") {
+      indexOrButton = this.buttons.indexOf(indexOrButton);
+    }
+    if (indexOrButton > -1) {
+      const r = this.buttons.splice(indexOrButton, 1);
+      this.update();
+      return r;
+    }
+  }
+  update() {
+    this.element.replaceChildren(...this.buttons.map((b) => b["element"] ?? b));
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.buttonGroup = window.comfyAPI.buttonGroup || {};
+window.comfyAPI.buttonGroup.ComfyButtonGroup = ComfyButtonGroup;
+class ComfyPopup extends EventTarget {
+  static {
+    __name(this, "ComfyPopup");
+  }
+  element = $el("div.comfyui-popup");
+  open;
+  children;
+  target;
+  ignoreTarget;
+  container;
+  position;
+  closeOnEscape;
+  horizontal;
+  classList;
+  constructor({
+    target,
+    container = document.body,
+    classList = "",
+    ignoreTarget = true,
+    closeOnEscape = true,
+    position: position2 = "absolute",
+    horizontal: horizontal3 = "left"
+  }, ...children) {
+    super();
+    this.target = target;
+    this.ignoreTarget = ignoreTarget;
+    this.container = container;
+    this.position = position2;
+    this.closeOnEscape = closeOnEscape;
+    this.horizontal = horizontal3;
+    container.append(this.element);
+    this.children = prop(this, "children", children, () => {
+      this.element.replaceChildren(...this.children);
+      this.update();
+    });
+    this.classList = prop(
+      this,
+      "classList",
+      classList,
+      () => applyClasses(this.element, this.classList, "comfyui-popup", horizontal3)
+    );
+    this.open = prop(this, "open", false, (v2, o) => {
+      if (v2 === o) return;
+      if (v2) {
+        this.#show();
+      } else {
+        this.#hide();
+      }
+    });
+  }
+  toggle() {
+    this.open = !this.open;
+  }
+  #hide() {
+    this.element.classList.remove("open");
+    window.removeEventListener("resize", this.update);
+    window.removeEventListener("click", this.#clickHandler, { capture: true });
+    window.removeEventListener("keydown", this.#escHandler, { capture: true });
+    this.dispatchEvent(new CustomEvent("close"));
+    this.dispatchEvent(new CustomEvent("change"));
+  }
+  #show() {
+    this.element.classList.add("open");
+    this.update();
+    window.addEventListener("resize", this.update);
+    window.addEventListener("click", this.#clickHandler, { capture: true });
+    if (this.closeOnEscape) {
+      window.addEventListener("keydown", this.#escHandler, { capture: true });
+    }
+    this.dispatchEvent(new CustomEvent("open"));
+    this.dispatchEvent(new CustomEvent("change"));
+  }
+  #escHandler = /* @__PURE__ */ __name((e) => {
+    if (e.key === "Escape") {
+      this.open = false;
+      e.preventDefault();
+      e.stopImmediatePropagation();
+    }
+  }, "#escHandler");
+  #clickHandler = /* @__PURE__ */ __name((e) => {
+    const target = e.target;
+    if (!this.element.contains(target) && this.ignoreTarget && !this.target.contains(target)) {
+      this.open = false;
+    }
+  }, "#clickHandler");
+  update = /* @__PURE__ */ __name(() => {
+    const rect = this.target.getBoundingClientRect();
+    this.element.style.setProperty("--bottom", "unset");
+    if (this.position === "absolute") {
+      if (this.horizontal === "left") {
+        this.element.style.setProperty("--left", rect.left + "px");
+      } else {
+        this.element.style.setProperty(
+          "--left",
+          rect.right - this.element.clientWidth + "px"
+        );
+      }
+      this.element.style.setProperty("--top", rect.bottom + "px");
+      this.element.style.setProperty("--limit", rect.bottom + "px");
+    } else {
+      this.element.style.setProperty("--left", "0px");
+      this.element.style.setProperty("--top", rect.height + "px");
+      this.element.style.setProperty("--limit", rect.height + "px");
+    }
+    const thisRect = this.element.getBoundingClientRect();
+    if (thisRect.height < 30) {
+      this.element.style.setProperty("--top", "unset");
+      this.element.style.setProperty("--bottom", rect.height + 5 + "px");
+      this.element.style.setProperty("--limit", rect.height + 5 + "px");
+    }
+  }, "update");
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.popup = window.comfyAPI.popup || {};
+window.comfyAPI.popup.ComfyPopup = ComfyPopup;
+class ComfySplitButton {
+  static {
+    __name(this, "ComfySplitButton");
+  }
+  arrow;
+  element;
+  popup;
+  items;
+  constructor({
+    primary,
+    mode: mode2,
+    horizontal: horizontal3 = "left",
+    position: position2 = "relative"
+  }, ...items2) {
+    this.arrow = new ComfyButton({
+      icon: "chevron-down"
+    });
+    this.element = $el(
+      "div.comfyui-split-button" + (mode2 === "hover" ? ".hover" : ""),
+      [
+        $el("div.comfyui-split-primary", primary.element),
+        $el("div.comfyui-split-arrow", this.arrow.element)
+      ]
+    );
+    this.popup = new ComfyPopup({
+      target: this.element,
+      container: position2 === "relative" ? this.element : document.body,
+      classList: "comfyui-split-button-popup" + (mode2 === "hover" ? " hover" : ""),
+      closeOnEscape: mode2 === "click",
+      position: position2,
+      horizontal: horizontal3
+    });
+    this.arrow.withPopup(this.popup, mode2);
+    this.items = prop(this, "items", items2, () => this.update());
+  }
+  update() {
+    this.popup.element.replaceChildren(
+      ...this.items.map((b) => "element" in b ? b.element : b)
+    );
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.splitButton = window.comfyAPI.splitButton || {};
+window.comfyAPI.splitButton.ComfySplitButton = ComfySplitButton;
+class ComfyQueueOptions extends EventTarget {
+  static {
+    __name(this, "ComfyQueueOptions");
+  }
+  element = $el("div.comfyui-queue-options");
+  app;
+  batchCountInput;
+  batchCount;
+  batchCountRange;
+  autoQueueMode;
+  autoQueueEl;
+  constructor(app2) {
+    super();
+    this.app = app2;
+    this.batchCountInput = $el("input", {
+      className: "comfyui-queue-batch-value",
+      type: "number",
+      min: "1",
+      value: "1",
+      oninput: /* @__PURE__ */ __name(() => this.batchCount = +this.batchCountInput.value, "oninput")
+    });
+    this.batchCountRange = $el("input", {
+      type: "range",
+      min: "1",
+      max: "100",
+      value: "1",
+      oninput: /* @__PURE__ */ __name(() => this.batchCount = +this.batchCountRange.value, "oninput")
+    });
+    this.element.append(
+      $el("div.comfyui-queue-batch", [
+        $el(
+          "label",
+          {
+            textContent: "Batch count: "
+          },
+          this.batchCountInput
+        ),
+        this.batchCountRange
+      ])
+    );
+    const createOption = /* @__PURE__ */ __name((text, value3, checked4 = false) => $el(
+      "label",
+      { textContent: text },
+      $el("input", {
+        type: "radio",
+        name: "AutoQueueMode",
+        checked: checked4,
+        value: value3,
+        oninput: /* @__PURE__ */ __name((e) => this.autoQueueMode = e.target["value"], "oninput")
+      })
+    ), "createOption");
+    this.autoQueueEl = $el("div.comfyui-queue-mode", [
+      $el("span", "Auto Queue:"),
+      createOption("Disabled", "", true),
+      createOption("Instant", "instant"),
+      createOption("On Change", "change")
+    ]);
+    this.element.append(this.autoQueueEl);
+    this.batchCount = prop(this, "batchCount", 1, () => {
+      this.batchCountInput.value = this.batchCount + "";
+      this.batchCountRange.value = this.batchCount + "";
+    });
+    this.autoQueueMode = prop(this, "autoQueueMode", "Disabled", () => {
+      this.dispatchEvent(
+        new CustomEvent("autoQueueMode", {
+          detail: this.autoQueueMode
+        })
+      );
+    });
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.queueOptions = window.comfyAPI.queueOptions || {};
+window.comfyAPI.queueOptions.ComfyQueueOptions = ComfyQueueOptions;
+class ComfyQueueButton {
+  static {
+    __name(this, "ComfyQueueButton");
+  }
+  element = $el("div.comfyui-queue-button");
+  #internalQueueSize = 0;
+  queuePrompt = /* @__PURE__ */ __name(async (e) => {
+    this.#internalQueueSize += this.queueOptions.batchCount;
+    await this.app.queuePrompt(
+      e?.shiftKey ? -1 : 0,
+      this.queueOptions.batchCount
+    );
+  }, "queuePrompt");
+  queueOptions;
+  app;
+  autoQueueMode;
+  graphHasChanged;
+  constructor(app2) {
+    this.app = app2;
+    const queue2 = new ComfyButton({
+      content: $el("div", [
+        $el("span", {
+          textContent: "Queue"
+        })
+      ]),
+      icon: "play",
+      classList: "comfyui-button",
+      action: this.queuePrompt
+    });
+    this.queueOptions = new ComfyQueueOptions(app2);
+    const btn = new ComfySplitButton(
+      {
+        primary: queue2,
+        mode: "click",
+        position: "absolute",
+        horizontal: "right"
+      },
+      this.queueOptions.element
+    );
+    btn.element.classList.add("primary");
+    this.element.append(btn.element);
+    this.autoQueueMode = prop(this, "autoQueueMode", "", () => {
+      switch (this.autoQueueMode) {
+        case "instant":
+          queue2.icon = "infinity";
+          break;
+        case "change":
+          queue2.icon = "auto-mode";
+          break;
+        default:
+          queue2.icon = "play";
+          break;
+      }
+    });
+    this.queueOptions.addEventListener(
+      "autoQueueMode",
+      (e) => this.autoQueueMode = e["detail"]
+    );
+    api.addEventListener("graphChanged", () => {
+      if (this.autoQueueMode === "change") {
+        if (this.#internalQueueSize) {
+          this.graphHasChanged = true;
+        } else {
+          this.graphHasChanged = false;
+          this.queuePrompt();
+        }
+      }
+    });
+    api.addEventListener(
+      "status",
+      ({ detail }) => {
+        this.#internalQueueSize = detail?.exec_info?.queue_remaining;
+        if (this.#internalQueueSize != null) {
+          if (!this.#internalQueueSize && !app2.lastExecutionError) {
+            if (this.autoQueueMode === "instant" || this.autoQueueMode === "change" && this.graphHasChanged) {
+              this.graphHasChanged = false;
+              this.queuePrompt();
+            }
+          }
+        }
+      }
+    );
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.queueButton = window.comfyAPI.queueButton || {};
+window.comfyAPI.queueButton.ComfyQueueButton = ComfyQueueButton;
+function createSpinner() {
+  const div = document.createElement("div");
+  div.innerHTML = `<div class="lds-ring"><div></div><div></div><div></div><div></div></div>`;
+  return div.firstElementChild;
+}
+__name(createSpinner, "createSpinner");
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.spinner = window.comfyAPI.spinner || {};
+window.comfyAPI.spinner.createSpinner = createSpinner;
+class ChangeTracker {
+  static {
+    __name(this, "ChangeTracker");
+  }
+  static MAX_HISTORY = 50;
+  #app;
+  undo = [];
+  redo = [];
+  activeState = null;
+  isOurLoad = false;
+  workflow;
+  ds;
+  nodeOutputs;
+  get app() {
+    return this.#app ?? this.workflow.manager.app;
+  }
+  constructor(workflow) {
+    this.workflow = workflow;
+  }
+  #setApp(app2) {
+    this.#app = app2;
+  }
+  store() {
+    this.ds = {
+      scale: this.app.canvas.ds.scale,
+      offset: [...this.app.canvas.ds.offset]
+    };
+  }
+  restore() {
+    if (this.ds) {
+      this.app.canvas.ds.scale = this.ds.scale;
+      this.app.canvas.ds.offset = this.ds.offset;
+    }
+    if (this.nodeOutputs) {
+      this.app.nodeOutputs = this.nodeOutputs;
+    }
+  }
+  checkState() {
+    if (!this.app.graph) return;
+    const currentState = this.app.graph.serialize();
+    if (!this.activeState) {
+      this.activeState = clone(currentState);
+      return;
+    }
+    if (!ChangeTracker.graphEqual(this.activeState, currentState)) {
+      this.undo.push(this.activeState);
+      if (this.undo.length > ChangeTracker.MAX_HISTORY) {
+        this.undo.shift();
+      }
+      this.activeState = clone(currentState);
+      this.redo.length = 0;
+      this.workflow.unsaved = true;
+      api.dispatchEvent(
+        new CustomEvent("graphChanged", { detail: this.activeState })
+      );
+    }
+  }
+  async updateState(source, target) {
+    const prevState = source.pop();
+    if (prevState) {
+      target.push(this.activeState);
+      this.isOurLoad = true;
+      await this.app.loadGraphData(prevState, false, false, this.workflow);
+      this.activeState = prevState;
+    }
+  }
+  async undoRedo(e) {
+    if (e.ctrlKey || e.metaKey) {
+      if (e.key === "y") {
+        this.updateState(this.redo, this.undo);
+        return true;
+      } else if (e.key === "z") {
+        this.updateState(this.undo, this.redo);
+        return true;
+      }
+    }
+  }
+  static init(app2) {
+    const changeTracker = /* @__PURE__ */ __name(() => app2.workflowManager.activeWorkflow?.changeTracker ?? globalTracker, "changeTracker");
+    globalTracker.#setApp(app2);
+    const loadGraphData = app2.loadGraphData;
+    app2.loadGraphData = async function() {
+      const v2 = await loadGraphData.apply(this, arguments);
+      const ct = changeTracker();
+      if (ct.isOurLoad) {
+        ct.isOurLoad = false;
+      } else {
+        ct.checkState();
+      }
+      return v2;
+    };
+    let keyIgnored = false;
+    window.addEventListener(
+      "keydown",
+      (e) => {
+        const activeEl = document.activeElement;
+        requestAnimationFrame(async () => {
+          let bindInputEl;
+          if (!app2.ui.autoQueueEnabled || app2.ui.autoQueueMode === "instant") {
+            if (activeEl?.tagName === "INPUT" || activeEl?.["type"] === "textarea") {
+              return;
+            }
+            bindInputEl = activeEl;
+          }
+          keyIgnored = e.key === "Control" || e.key === "Shift" || e.key === "Alt" || e.key === "Meta";
+          if (keyIgnored) return;
+          if (await changeTracker().undoRedo(e)) return;
+          if (ChangeTracker.bindInput(app2, bindInputEl)) return;
+          changeTracker().checkState();
+        });
+      },
+      true
+    );
+    window.addEventListener("keyup", (e) => {
+      if (keyIgnored) {
+        keyIgnored = false;
+        changeTracker().checkState();
+      }
+    });
+    window.addEventListener("mouseup", () => {
+      changeTracker().checkState();
+    });
+    api.addEventListener("promptQueued", () => {
+      changeTracker().checkState();
+    });
+    api.addEventListener("graphCleared", () => {
+      changeTracker().checkState();
+    });
+    const processMouseUp = LGraphCanvas.prototype.processMouseUp;
+    LGraphCanvas.prototype.processMouseUp = function(e) {
+      const v2 = processMouseUp.apply(this, arguments);
+      changeTracker().checkState();
+      return v2;
+    };
+    const processMouseDown = LGraphCanvas.prototype.processMouseDown;
+    LGraphCanvas.prototype.processMouseDown = function(e) {
+      const v2 = processMouseDown.apply(this, arguments);
+      changeTracker().checkState();
+      return v2;
+    };
+    const close4 = LiteGraph.ContextMenu.prototype.close;
+    LiteGraph.ContextMenu.prototype.close = function(e) {
+      const v2 = close4.apply(this, arguments);
+      changeTracker().checkState();
+      return v2;
+    };
+    const onNodeAdded = LiteGraph.LGraph.prototype.onNodeAdded;
+    LiteGraph.LGraph.prototype.onNodeAdded = function() {
+      const v2 = onNodeAdded?.apply(this, arguments);
+      if (!app2?.configuringGraph) {
+        const ct = changeTracker();
+        if (!ct.isOurLoad) {
+          ct.checkState();
+        }
+      }
+      return v2;
+    };
+    api.addEventListener("executed", ({ detail }) => {
+      const prompt2 = app2.workflowManager.queuedPrompts[detail.prompt_id];
+      if (!prompt2?.workflow) return;
+      const nodeOutputs = prompt2.workflow.changeTracker.nodeOutputs ??= {};
+      const output = nodeOutputs[detail.node];
+      if (detail.merge && output) {
+        for (const k in detail.output ?? {}) {
+          const v2 = output[k];
+          if (v2 instanceof Array) {
+            output[k] = v2.concat(detail.output[k]);
+          } else {
+            output[k] = detail.output[k];
+          }
+        }
+      } else {
+        nodeOutputs[detail.node] = detail.output;
+      }
+    });
+  }
+  static bindInput(app2, activeEl) {
+    if (activeEl && activeEl.tagName !== "CANVAS" && activeEl.tagName !== "BODY") {
+      for (const evt of ["change", "input", "blur"]) {
+        if (`on${evt}` in activeEl) {
+          const listener = /* @__PURE__ */ __name(() => {
+            app2.workflowManager.activeWorkflow.changeTracker.checkState();
+            activeEl.removeEventListener(evt, listener);
+          }, "listener");
+          activeEl.addEventListener(evt, listener);
+          return true;
+        }
+      }
+    }
+  }
+  static graphEqual(a, b, path = "") {
+    if (a === b) return true;
+    if (typeof a == "object" && a && typeof b == "object" && b) {
+      const keys2 = Object.getOwnPropertyNames(a);
+      if (keys2.length != Object.getOwnPropertyNames(b).length) {
+        return false;
+      }
+      for (const key of keys2) {
+        let av = a[key];
+        let bv = b[key];
+        if (!path && key === "nodes") {
+          av = [...av].sort((a2, b2) => a2.id - b2.id);
+          bv = [...bv].sort((a2, b2) => a2.id - b2.id);
+        } else if (path === "extra.ds") {
+          continue;
+        }
+        if (!ChangeTracker.graphEqual(av, bv, path + (path ? "." : "") + key)) {
+          return false;
+        }
+      }
+      return true;
+    }
+    return false;
+  }
+}
+const globalTracker = new ChangeTracker({});
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.changeTracker = window.comfyAPI.changeTracker || {};
+window.comfyAPI.changeTracker.ChangeTracker = ChangeTracker;
+class ComfyAsyncDialog extends ComfyDialog$1 {
+  static {
+    __name(this, "ComfyAsyncDialog");
+  }
+  #resolve;
+  constructor(actions) {
+    super(
+      "dialog.comfy-dialog.comfyui-dialog",
+      actions?.map((opt) => {
+        if (typeof opt === "string") {
+          opt = { text: opt };
+        }
+        return $el("button.comfyui-button", {
+          type: "button",
+          textContent: opt.text,
+          onclick: /* @__PURE__ */ __name(() => this.close(opt.value ?? opt.text), "onclick")
+        });
+      })
+    );
+  }
+  show(html) {
+    this.element.addEventListener("close", () => {
+      this.close();
+    });
+    super.show(html);
+    return new Promise((resolve8) => {
+      this.#resolve = resolve8;
+    });
+  }
+  showModal(html) {
+    this.element.addEventListener("close", () => {
+      this.close();
+    });
+    super.show(html);
+    this.element.showModal();
+    return new Promise((resolve8) => {
+      this.#resolve = resolve8;
+    });
+  }
+  close(result = null) {
+    this.#resolve(result);
+    this.element.close();
+    super.close();
+  }
+  static async prompt({ title = null, message: message3, actions }) {
+    const dialog = new ComfyAsyncDialog(actions);
+    const content = [$el("span", message3)];
+    if (title) {
+      content.unshift($el("h3", title));
+    }
+    const res = await dialog.showModal(content);
+    dialog.element.remove();
+    return res;
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.asyncDialog = window.comfyAPI.asyncDialog || {};
+window.comfyAPI.asyncDialog.ComfyAsyncDialog = ComfyAsyncDialog;
+function appendJsonExt(path) {
+  if (!path.toLowerCase().endsWith(".json")) {
+    path += ".json";
+  }
+  return path;
+}
+__name(appendJsonExt, "appendJsonExt");
+function trimJsonExt(path) {
+  return path?.replace(/\.json$/, "");
+}
+__name(trimJsonExt, "trimJsonExt");
+class ComfyWorkflowManager extends EventTarget {
+  static {
+    __name(this, "ComfyWorkflowManager");
+  }
+  #activePromptId = null;
+  #unsavedCount = 0;
+  #activeWorkflow;
+  workflowLookup = {};
+  workflows = [];
+  openWorkflows = [];
+  queuedPrompts = {};
+  app;
+  get activeWorkflow() {
+    return this.#activeWorkflow ?? this.openWorkflows[0];
+  }
+  get activePromptId() {
+    return this.#activePromptId;
+  }
+  get activePrompt() {
+    return this.queuedPrompts[this.#activePromptId];
+  }
+  constructor(app2) {
+    super();
+    this.app = app2;
+    ChangeTracker.init(app2);
+    this.#bindExecutionEvents();
+  }
+  #bindExecutionEvents() {
+    const emit2 = /* @__PURE__ */ __name(() => this.dispatchEvent(
+      new CustomEvent("execute", { detail: this.activePrompt })
+    ), "emit");
+    let executing = null;
+    api.addEventListener("execution_start", (e) => {
+      this.#activePromptId = e.detail.prompt_id;
+      this.queuedPrompts[this.#activePromptId] ??= { nodes: {} };
+      emit2();
+    });
+    api.addEventListener("execution_cached", (e) => {
+      if (!this.activePrompt) return;
+      for (const n of e.detail.nodes) {
+        this.activePrompt.nodes[n] = true;
+      }
+      emit2();
+    });
+    api.addEventListener("executed", (e) => {
+      if (!this.activePrompt) return;
+      this.activePrompt.nodes[e.detail.node] = true;
+      emit2();
+    });
+    api.addEventListener("executing", (e) => {
+      if (!this.activePrompt) return;
+      if (executing) {
+        this.activePrompt.nodes[executing] = true;
+      }
+      executing = e.detail;
+      if (!executing) {
+        delete this.queuedPrompts[this.#activePromptId];
+        this.#activePromptId = null;
+      }
+      emit2();
+    });
+  }
+  async loadWorkflows() {
+    try {
+      let favorites;
+      const resp = await api.getUserData("workflows/.index.json");
+      let info;
+      if (resp.status === 200) {
+        info = await resp.json();
+        favorites = new Set(info?.favorites ?? []);
+      } else {
+        favorites = /* @__PURE__ */ new Set();
+      }
+      const workflows = (await api.listUserData("workflows", true, true)).map(
+        (w2) => {
+          let workflow = this.workflowLookup[w2[0]];
+          if (!workflow) {
+            workflow = new ComfyWorkflow(
+              this,
+              w2[0],
+              w2.slice(1),
+              favorites.has(w2[0])
+            );
+            this.workflowLookup[workflow.path] = workflow;
+          }
+          return workflow;
+        }
+      );
+      this.workflows = workflows;
+    } catch (error) {
+      alert("Error loading workflows: " + (error.message ?? error));
+      this.workflows = [];
+    }
+  }
+  async saveWorkflowMetadata() {
+    await api.storeUserData("workflows/.index.json", {
+      favorites: [
+        ...this.workflows.filter((w2) => w2.isFavorite).map((w2) => w2.path)
+      ]
+    });
+  }
+  /**
+   * @param {string | ComfyWorkflow | null} workflow
+   */
+  setWorkflow(workflow) {
+    if (workflow && typeof workflow === "string") {
+      const found = this.workflows.find((w2) => w2.path === workflow);
+      if (found) {
+        workflow = found;
+        workflow.unsaved = !workflow || getStorageValue("Comfy.PreviousWorkflowUnsaved") === "true";
+      }
+    }
+    if (!(workflow instanceof ComfyWorkflow)) {
+      workflow = new ComfyWorkflow(
+        this,
+        workflow || "Unsaved Workflow" + (this.#unsavedCount++ ? ` (${this.#unsavedCount})` : "")
+      );
+    }
+    const index2 = this.openWorkflows.indexOf(workflow);
+    if (index2 === -1) {
+      this.openWorkflows.push(workflow);
+    }
+    this.#activeWorkflow = workflow;
+    setStorageValue("Comfy.PreviousWorkflow", this.activeWorkflow.path ?? "");
+    this.dispatchEvent(new CustomEvent("changeWorkflow"));
+  }
+  storePrompt({ nodes, id: id2 }) {
+    this.queuedPrompts[id2] ??= {};
+    this.queuedPrompts[id2].nodes = {
+      ...nodes.reduce((p2, n) => {
+        p2[n] = false;
+        return p2;
+      }, {}),
+      ...this.queuedPrompts[id2].nodes
+    };
+    this.queuedPrompts[id2].workflow = this.activeWorkflow;
+  }
+  /**
+   * @param {ComfyWorkflow} workflow
+   */
+  async closeWorkflow(workflow, warnIfUnsaved = true) {
+    if (!workflow.isOpen) {
+      return true;
+    }
+    if (workflow.unsaved && warnIfUnsaved) {
+      const res = await ComfyAsyncDialog.prompt({
+        title: "Save Changes?",
+        message: `Do you want to save changes to "${workflow.path ?? workflow.name}" before closing?`,
+        actions: ["Yes", "No", "Cancel"]
+      });
+      if (res === "Yes") {
+        const active3 = this.activeWorkflow;
+        if (active3 !== workflow) {
+          await workflow.load();
+        }
+        if (!await workflow.save()) {
+          if (active3 !== workflow) {
+            await active3.load();
+          }
+          return;
+        }
+      } else if (res === "Cancel") {
+        return;
+      }
+    }
+    workflow.changeTracker = null;
+    this.openWorkflows.splice(this.openWorkflows.indexOf(workflow), 1);
+    if (this.openWorkflows.length) {
+      this.#activeWorkflow = this.openWorkflows[0];
+      await this.#activeWorkflow.load();
+    } else {
+      await this.app.loadGraphData();
+    }
+  }
+}
+class ComfyWorkflow {
+  static {
+    __name(this, "ComfyWorkflow");
+  }
+  #name;
+  #path;
+  #pathParts;
+  #isFavorite = false;
+  changeTracker = null;
+  unsaved = false;
+  manager;
+  get name() {
+    return this.#name;
+  }
+  get path() {
+    return this.#path;
+  }
+  get pathParts() {
+    return this.#pathParts;
+  }
+  get isFavorite() {
+    return this.#isFavorite;
+  }
+  get isOpen() {
+    return !!this.changeTracker;
+  }
+  constructor(manager, path, pathParts, isFavorite) {
+    this.manager = manager;
+    if (pathParts) {
+      this.#updatePath(path, pathParts);
+      this.#isFavorite = isFavorite;
+    } else {
+      this.#name = path;
+      this.unsaved = true;
+    }
+  }
+  #updatePath(path, pathParts) {
+    this.#path = path;
+    if (!pathParts) {
+      if (!path.includes("\\")) {
+        pathParts = path.split("/");
+      } else {
+        pathParts = path.split("\\");
+      }
+    }
+    this.#pathParts = pathParts;
+    this.#name = trimJsonExt(pathParts[pathParts.length - 1]);
+  }
+  async getWorkflowData() {
+    const resp = await api.getUserData("workflows/" + this.path);
+    if (resp.status !== 200) {
+      alert(
+        `Error loading workflow file '${this.path}': ${resp.status} ${resp.statusText}`
+      );
+      return;
+    }
+    return await resp.json();
+  }
+  load = /* @__PURE__ */ __name(async () => {
+    if (this.isOpen) {
+      await this.manager.app.loadGraphData(
+        this.changeTracker.activeState,
+        true,
+        true,
+        this
+      );
+    } else {
+      const data24 = await this.getWorkflowData();
+      if (!data24) return;
+      await this.manager.app.loadGraphData(data24, true, true, this);
+    }
+  }, "load");
+  async save(saveAs2 = false) {
+    if (!this.path || saveAs2) {
+      return !!await this.#save(null, false);
+    } else {
+      return !!await this.#save(this.path, true);
+    }
+  }
+  async favorite(value3) {
+    try {
+      if (this.#isFavorite === value3) return;
+      this.#isFavorite = value3;
+      await this.manager.saveWorkflowMetadata();
+      this.manager.dispatchEvent(new CustomEvent("favorite", { detail: this }));
+    } catch (error) {
+      alert(
+        "Error favoriting workflow " + this.path + "\n" + (error.message ?? error)
+      );
+    }
+  }
+  async rename(path) {
+    path = appendJsonExt(path);
+    let resp = await api.moveUserData(
+      "workflows/" + this.path,
+      "workflows/" + path
+    );
+    if (resp.status === 409) {
+      if (!confirm(
+        `Workflow '${path}' already exists, do you want to overwrite it?`
+      ))
+        return resp;
+      resp = await api.moveUserData(
+        "workflows/" + this.path,
+        "workflows/" + path,
+        { overwrite: true }
+      );
+    }
+    if (resp.status !== 200) {
+      alert(
+        `Error renaming workflow file '${this.path}': ${resp.status} ${resp.statusText}`
+      );
+      return;
+    }
+    const isFav = this.isFavorite;
+    if (isFav) {
+      await this.favorite(false);
+    }
+    path = (await resp.json()).substring("workflows/".length);
+    this.#updatePath(path, null);
+    if (isFav) {
+      await this.favorite(true);
+    }
+    this.manager.dispatchEvent(new CustomEvent("rename", { detail: this }));
+    setStorageValue("Comfy.PreviousWorkflow", this.path ?? "");
+  }
+  async insert() {
+    const data24 = await this.getWorkflowData();
+    if (!data24) return;
+    const old = localStorage.getItem("litegrapheditor_clipboard");
+    const graph = new LGraph(data24);
+    const canvas = new LGraphCanvas(null, graph, {
+      // @ts-expect-error
+      skip_events: true,
+      skip_render: true
+    });
+    canvas.selectNodes();
+    canvas.copyToClipboard();
+    this.manager.app.canvas.pasteFromClipboard();
+    localStorage.setItem("litegrapheditor_clipboard", old);
+  }
+  async delete() {
+    if (this.isFavorite) {
+      await this.favorite(false);
+    }
+    const resp = await api.deleteUserData("workflows/" + this.path);
+    if (resp.status !== 204) {
+      alert(
+        `Error removing user data file '${this.path}': ${resp.status} ${resp.statusText}`
+      );
+    }
+    this.unsaved = true;
+    this.#path = null;
+    this.#pathParts = null;
+    this.manager.workflows.splice(this.manager.workflows.indexOf(this), 1);
+    this.manager.dispatchEvent(new CustomEvent("delete", { detail: this }));
+  }
+  track() {
+    if (this.changeTracker) {
+      this.changeTracker.restore();
+    } else {
+      this.changeTracker = new ChangeTracker(this);
+    }
+  }
+  async #save(path, overwrite) {
+    if (!path) {
+      path = prompt(
+        "Save workflow as:",
+        trimJsonExt(this.path) ?? this.name ?? "workflow"
+      );
+      if (!path) return;
+    }
+    path = appendJsonExt(path);
+    const p2 = await this.manager.app.graphToPrompt();
+    const json = JSON.stringify(p2.workflow, null, 2);
+    let resp = await api.storeUserData("workflows/" + path, json, {
+      stringify: false,
+      throwOnError: false,
+      overwrite
+    });
+    if (resp.status === 409) {
+      if (!confirm(
+        `Workflow '${path}' already exists, do you want to overwrite it?`
+      ))
+        return;
+      resp = await api.storeUserData("workflows/" + path, json, {
+        stringify: false
+      });
+    }
+    if (resp.status !== 200) {
+      alert(
+        `Error saving workflow '${this.path}': ${resp.status} ${resp.statusText}`
+      );
+      return;
+    }
+    path = (await resp.json()).substring("workflows/".length);
+    if (!this.path) {
+      this.#updatePath(path, null);
+      await this.manager.loadWorkflows();
+      this.unsaved = false;
+      this.manager.dispatchEvent(new CustomEvent("rename", { detail: this }));
+      setStorageValue("Comfy.PreviousWorkflow", this.path ?? "");
+    } else if (path !== this.path) {
+      await this.manager.loadWorkflows();
+      const workflow = this.manager.workflowLookup[path];
+      await workflow.load();
+    } else {
+      this.unsaved = false;
+      this.manager.dispatchEvent(new CustomEvent("save", { detail: this }));
+    }
+    return true;
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.workflows = window.comfyAPI.workflows || {};
+window.comfyAPI.workflows.trimJsonExt = trimJsonExt;
+window.comfyAPI.workflows.ComfyWorkflowManager = ComfyWorkflowManager;
+window.comfyAPI.workflows.ComfyWorkflow = ComfyWorkflow;
+class ComfyWorkflowsMenu {
+  static {
+    __name(this, "ComfyWorkflowsMenu");
+  }
+  #first = true;
+  element = $el("div.comfyui-workflows");
+  popup;
+  app;
+  buttonProgress;
+  workflowLabel;
+  button;
+  content;
+  unsaved;
+  get open() {
+    return this.popup.open;
+  }
+  set open(open2) {
+    this.popup.open = open2;
+  }
+  constructor(app2) {
+    this.app = app2;
+    this.#bindEvents();
+    const classList = {
+      "comfyui-workflows-button": true,
+      "comfyui-button": true,
+      unsaved: getStorageValue("Comfy.PreviousWorkflowUnsaved") === "true",
+      running: false
+    };
+    this.buttonProgress = $el("div.comfyui-workflows-button-progress");
+    this.workflowLabel = $el("span.comfyui-workflows-label", "");
+    this.button = new ComfyButton({
+      content: $el("div.comfyui-workflows-button-inner", [
+        $el("i.mdi.mdi-graph"),
+        this.workflowLabel,
+        this.buttonProgress
+      ]),
+      icon: "chevron-down",
+      classList
+    });
+    this.element.append(this.button.element);
+    this.popup = new ComfyPopup({
+      target: this.element,
+      classList: "comfyui-workflows-popup"
+    });
+    this.content = new ComfyWorkflowsContent(app2, this.popup);
+    this.popup.children = [this.content.element];
+    this.popup.addEventListener("change", () => {
+      this.button.icon = "chevron-" + (this.popup.open ? "up" : "down");
+    });
+    this.button.withPopup(this.popup);
+    this.unsaved = prop(this, "unsaved", classList.unsaved, (v2) => {
+      classList.unsaved = v2;
+      this.button.classList = classList;
+      setStorageValue("Comfy.PreviousWorkflowUnsaved", v2);
+    });
+  }
+  #updateProgress = /* @__PURE__ */ __name(() => {
+    const prompt2 = this.app.workflowManager.activePrompt;
+    let percent = 0;
+    if (this.app.workflowManager.activeWorkflow === prompt2?.workflow) {
+      const total = Object.values(prompt2.nodes);
+      const done = total.filter(Boolean);
+      percent = done.length / total.length * 100;
+    }
+    this.buttonProgress.style.width = percent + "%";
+  }, "#updateProgress");
+  #updateActive = /* @__PURE__ */ __name(() => {
+    const active3 = this.app.workflowManager.activeWorkflow;
+    this.button.tooltip = active3.path;
+    this.workflowLabel.textContent = active3.name;
+    this.unsaved = active3.unsaved;
+    if (this.#first) {
+      this.#first = false;
+      this.content.load();
+    }
+    this.#updateProgress();
+  }, "#updateActive");
+  #bindEvents() {
+    this.app.workflowManager.addEventListener(
+      "changeWorkflow",
+      this.#updateActive
+    );
+    this.app.workflowManager.addEventListener("rename", this.#updateActive);
+    this.app.workflowManager.addEventListener("delete", this.#updateActive);
+    this.app.workflowManager.addEventListener("save", () => {
+      this.unsaved = this.app.workflowManager.activeWorkflow.unsaved;
+    });
+    this.app.workflowManager.addEventListener("execute", (e) => {
+      this.#updateProgress();
+    });
+    api.addEventListener("graphChanged", () => {
+      this.unsaved = true;
+    });
+  }
+  #getMenuOptions(callback) {
+    const menu = [];
+    const directories = /* @__PURE__ */ new Map();
+    for (const workflow of this.app.workflowManager.workflows || []) {
+      const path = workflow.pathParts;
+      if (!path) continue;
+      let parent = menu;
+      let currentPath = "";
+      for (let i2 = 0; i2 < path.length - 1; i2++) {
+        currentPath += "/" + path[i2];
+        let newParent = directories.get(currentPath);
+        if (!newParent) {
+          newParent = {
+            title: path[i2],
+            has_submenu: true,
+            submenu: {
+              options: []
+            }
+          };
+          parent.push(newParent);
+          newParent = newParent.submenu.options;
+          directories.set(currentPath, newParent);
+        }
+        parent = newParent;
+      }
+      parent.push({
+        title: trimJsonExt(path[path.length - 1]),
+        callback: /* @__PURE__ */ __name(() => callback(workflow), "callback")
+      });
+    }
+    return menu;
+  }
+  #getFavoriteMenuOptions(callback) {
+    const menu = [];
+    for (const workflow of this.app.workflowManager.workflows || []) {
+      if (workflow.isFavorite) {
+        menu.push({
+          title: "⭐ " + workflow.name,
+          callback: /* @__PURE__ */ __name(() => callback(workflow), "callback")
+        });
+      }
+    }
+    return menu;
+  }
+  registerExtension(app2) {
+    const self2 = this;
+    app2.registerExtension({
+      name: "Comfy.Workflows",
+      async beforeRegisterNodeDef(nodeType) {
+        function getImageWidget(node3) {
+          const inputs = {
+            ...node3.constructor?.nodeData?.input?.required,
+            ...node3.constructor?.nodeData?.input?.optional
+          };
+          for (const input in inputs) {
+            if (inputs[input][0] === "IMAGEUPLOAD") {
+              const imageWidget = node3.widgets.find(
+                (w2) => w2.name === (inputs[input]?.[1]?.widget ?? "image")
+              );
+              if (imageWidget) return imageWidget;
+            }
+          }
+        }
+        __name(getImageWidget, "getImageWidget");
+        function setWidgetImage(node3, widget, img) {
+          const url = new URL(img.src);
+          const filename = url.searchParams.get("filename");
+          const subfolder = url.searchParams.get("subfolder");
+          const type = url.searchParams.get("type");
+          const imageId = `${subfolder ? subfolder + "/" : ""}${filename} [${type}]`;
+          widget.value = imageId;
+          node3.imgs = [img];
+          app2.graph.setDirtyCanvas(true, true);
+        }
+        __name(setWidgetImage, "setWidgetImage");
+        async function sendToWorkflow(img, workflow) {
+          const openWorkflow = app2.workflowManager.openWorkflows.find(
+            (w2) => w2.path === workflow.path
+          );
+          if (openWorkflow) {
+            workflow = openWorkflow;
+          }
+          await workflow.load();
+          let options3 = [];
+          const nodes = app2.graph.computeExecutionOrder(false);
+          for (const node3 of nodes) {
+            const widget = getImageWidget(node3);
+            if (widget == null) continue;
+            if (node3.title?.toLowerCase().includes("input")) {
+              options3 = [{ widget, node: node3 }];
+              break;
+            } else {
+              options3.push({ widget, node: node3 });
+            }
+          }
+          if (!options3.length) {
+            alert("No image nodes have been found in this workflow!");
+            return;
+          } else if (options3.length > 1) {
+            const dialog = new WidgetSelectionDialog(options3);
+            const res = await dialog.show(app2);
+            if (!res) return;
+            options3 = [res];
+          }
+          setWidgetImage(options3[0].node, options3[0].widget, img);
+        }
+        __name(sendToWorkflow, "sendToWorkflow");
+        const getExtraMenuOptions = nodeType.prototype["getExtraMenuOptions"];
+        nodeType.prototype["getExtraMenuOptions"] = function(_2, options3) {
+          const r = getExtraMenuOptions?.apply?.(this, arguments);
+          const setting = app2.ui.settings.getSettingValue(
+            "Comfy.UseNewMenu",
+            false
+          );
+          if (setting && setting != "Disabled") {
+            const t = this;
+            let img;
+            if (t.imageIndex != null) {
+              img = t.imgs?.[t.imageIndex];
+            } else if (t.overIndex != null) {
+              img = t.imgs?.[t.overIndex];
+            }
+            if (img) {
+              let pos2 = options3.findIndex((o) => o.content === "Save Image");
+              if (pos2 === -1) {
+                pos2 = 0;
+              } else {
+                pos2++;
+              }
+              options3.splice(pos2, 0, {
+                content: "Send to workflow",
+                has_submenu: true,
+                submenu: {
+                  options: [
+                    {
+                      callback: /* @__PURE__ */ __name(() => sendToWorkflow(img, app2.workflowManager.activeWorkflow), "callback"),
+                      title: "[Current workflow]"
+                    },
+                    ...self2.#getFavoriteMenuOptions(
+                      sendToWorkflow.bind(null, img)
+                    ),
+                    null,
+                    ...self2.#getMenuOptions(sendToWorkflow.bind(null, img))
+                  ]
+                }
+              });
+            }
+          }
+          return r;
+        };
+      }
+    });
+  }
+}
+class ComfyWorkflowsContent {
+  static {
+    __name(this, "ComfyWorkflowsContent");
+  }
+  element = $el("div.comfyui-workflows-panel");
+  treeState = {};
+  treeFiles = {};
+  openFiles = /* @__PURE__ */ new Map();
+  activeElement = null;
+  spinner;
+  openElement;
+  favoritesElement;
+  treeElement;
+  app;
+  popup;
+  actions;
+  filterText;
+  treeRoot;
+  constructor(app2, popup) {
+    this.app = app2;
+    this.popup = popup;
+    this.actions = $el("div.comfyui-workflows-actions", [
+      new ComfyButton({
+        content: "Default",
+        icon: "file-code",
+        iconSize: 18,
+        classList: "comfyui-button primary",
+        tooltip: "Load default workflow",
+        action: /* @__PURE__ */ __name(() => {
+          popup.open = false;
+          app2.loadGraphData();
+          app2.resetView();
+        }, "action")
+      }).element,
+      new ComfyButton({
+        content: "Browse",
+        icon: "folder",
+        iconSize: 18,
+        tooltip: "Browse for an image or exported workflow",
+        action: /* @__PURE__ */ __name(() => {
+          popup.open = false;
+          app2.ui.loadFile();
+        }, "action")
+      }).element,
+      new ComfyButton({
+        content: "Blank",
+        icon: "plus-thick",
+        iconSize: 18,
+        tooltip: "Create a new blank workflow",
+        action: /* @__PURE__ */ __name(() => {
+          app2.workflowManager.setWorkflow(null);
+          app2.clean();
+          app2.graph.clear();
+          app2.workflowManager.activeWorkflow.track();
+          popup.open = false;
+        }, "action")
+      }).element
+    ]);
+    this.spinner = createSpinner();
+    this.element.replaceChildren(this.actions, this.spinner);
+    this.popup.addEventListener("open", () => this.load());
+    this.popup.addEventListener(
+      "close",
+      () => this.element.replaceChildren(this.actions, this.spinner)
+    );
+    this.app.workflowManager.addEventListener("favorite", (e) => {
+      const workflow = e["detail"];
+      const button = this.treeFiles[workflow.path]?.primary;
+      if (!button) return;
+      button.icon = this.#getFavoriteIcon(workflow);
+      button.overIcon = this.#getFavoriteOverIcon(workflow);
+      this.updateFavorites();
+    });
+    for (const e of ["save", "open", "close", "changeWorkflow"]) {
+      app2.workflowManager.addEventListener(e, () => this.updateOpen());
+    }
+    this.app.workflowManager.addEventListener("rename", () => this.load());
+    this.app.workflowManager.addEventListener(
+      "execute",
+      (e) => this.#updateActive()
+    );
+  }
+  async load() {
+    await this.app.workflowManager.loadWorkflows();
+    this.updateTree();
+    this.updateFavorites();
+    this.updateOpen();
+    this.element.replaceChildren(
+      this.actions,
+      this.openElement,
+      this.favoritesElement,
+      this.treeElement
+    );
+  }
+  updateOpen() {
+    const current = this.openElement;
+    this.openFiles.clear();
+    this.openElement = $el("div.comfyui-workflows-open", [
+      $el("h3", "Open"),
+      ...this.app.workflowManager.openWorkflows.map((w2) => {
+        const wrapper = new WorkflowElement(this, w2, {
+          primary: { element: $el("i.mdi.mdi-18px.mdi-progress-pencil") },
+          buttons: [
+            this.#getRenameButton(w2),
+            new ComfyButton({
+              icon: "close",
+              iconSize: 18,
+              classList: "comfyui-button comfyui-workflows-file-action",
+              tooltip: "Close workflow",
+              action: /* @__PURE__ */ __name((e) => {
+                e.stopImmediatePropagation();
+                this.app.workflowManager.closeWorkflow(w2);
+              }, "action")
+            })
+          ]
+        });
+        if (w2.unsaved) {
+          wrapper.element.classList.add("unsaved");
+        }
+        if (w2 === this.app.workflowManager.activeWorkflow) {
+          wrapper.element.classList.add("active");
+        }
+        this.openFiles.set(w2, wrapper);
+        return wrapper.element;
+      })
+    ]);
+    this.#updateActive();
+    current?.replaceWith(this.openElement);
+  }
+  updateFavorites() {
+    const current = this.favoritesElement;
+    const favorites = [
+      ...this.app.workflowManager.workflows.filter((w2) => w2.isFavorite)
+    ];
+    this.favoritesElement = $el("div.comfyui-workflows-favorites", [
+      $el("h3", "Favorites"),
+      ...favorites.map((w2) => {
+        return this.#getWorkflowElement(w2).element;
+      }).filter(Boolean)
+    ]);
+    current?.replaceWith(this.favoritesElement);
+  }
+  filterTree() {
+    if (!this.filterText) {
+      this.treeRoot.classList.remove("filtered");
+      for (const item2 of Object.values(this.treeFiles)) {
+        item2.element.parentElement.style.removeProperty("display");
+        this.showTreeParents(item2.element.parentElement);
+      }
+      return;
+    }
+    this.treeRoot.classList.add("filtered");
+    const searchTerms = this.filterText.toLocaleLowerCase().split(" ");
+    for (const item2 of Object.values(this.treeFiles)) {
+      const parts2 = item2.workflow.pathParts;
+      let termIndex = 0;
+      let valid = false;
+      for (const part of parts2) {
+        let currentIndex = 0;
+        do {
+          currentIndex = part.indexOf(searchTerms[termIndex], currentIndex);
+          if (currentIndex > -1) currentIndex += searchTerms[termIndex].length;
+        } while (currentIndex !== -1 && ++termIndex < searchTerms.length);
+        if (termIndex >= searchTerms.length) {
+          valid = true;
+          break;
+        }
+      }
+      if (valid) {
+        item2.element.parentElement.style.removeProperty("display");
+        this.showTreeParents(item2.element.parentElement);
+      } else {
+        item2.element.parentElement.style.display = "none";
+        this.hideTreeParents(item2.element.parentElement);
+      }
+    }
+  }
+  hideTreeParents(element) {
+    if (element.parentElement?.classList.contains("comfyui-workflows-tree") === false) {
+      for (let i2 = 1; i2 < element.parentElement.children.length; i2++) {
+        const c = element.parentElement.children[i2];
+        if (c.style.display !== "none") {
+          return;
+        }
+      }
+      element.parentElement.style.display = "none";
+      this.hideTreeParents(element.parentElement);
+    }
+  }
+  showTreeParents(element) {
+    if (element.parentElement?.classList.contains("comfyui-workflows-tree") === false) {
+      element.parentElement.style.removeProperty("display");
+      this.showTreeParents(element.parentElement);
+    }
+  }
+  updateTree() {
+    const current = this.treeElement;
+    const nodes = {};
+    let typingTimeout;
+    this.treeFiles = {};
+    this.treeRoot = $el("ul.comfyui-workflows-tree");
+    this.treeElement = $el("section", [
+      $el("header", [
+        $el("h3", "Browse"),
+        $el("div.comfy-ui-workflows-search", [
+          $el("i.mdi.mdi-18px.mdi-magnify"),
+          $el("input", {
+            placeholder: "Search",
+            value: this.filterText ?? "",
+            oninput: /* @__PURE__ */ __name((e) => {
+              this.filterText = e.target["value"]?.trim();
+              clearTimeout(typingTimeout);
+              typingTimeout = setTimeout(() => this.filterTree(), 250);
+            }, "oninput")
+          })
+        ])
+      ]),
+      this.treeRoot
+    ]);
+    for (const workflow of this.app.workflowManager.workflows) {
+      if (!workflow.pathParts) continue;
+      let currentPath = "";
+      let currentRoot = this.treeRoot;
+      for (let i2 = 0; i2 < workflow.pathParts.length; i2++) {
+        currentPath += (currentPath ? "\\" : "") + workflow.pathParts[i2];
+        const parentNode = nodes[currentPath] ?? this.#createNode(currentPath, workflow, i2, currentRoot);
+        nodes[currentPath] = parentNode;
+        currentRoot = parentNode;
+      }
+    }
+    current?.replaceWith(this.treeElement);
+    this.filterTree();
+  }
+  #expandNode(el, workflow, thisPath, i2) {
+    const expanded2 = !el.classList.toggle("closed");
+    if (expanded2) {
+      let c = "";
+      for (let j = 0; j <= i2; j++) {
+        c += (c ? "\\" : "") + workflow.pathParts[j];
+        this.treeState[c] = true;
+      }
+    } else {
+      let c = thisPath;
+      for (let j = i2 + 1; j < workflow.pathParts.length; j++) {
+        c += (c ? "\\" : "") + workflow.pathParts[j];
+        delete this.treeState[c];
+      }
+      delete this.treeState[thisPath];
+    }
+  }
+  #updateActive() {
+    this.#removeActive();
+    const active3 = this.app.workflowManager.activePrompt;
+    if (!active3?.workflow) return;
+    const open2 = this.openFiles.get(active3.workflow);
+    if (!open2) return;
+    this.activeElement = open2;
+    const total = Object.values(active3.nodes);
+    const done = total.filter(Boolean);
+    const percent = done.length / total.length;
+    open2.element.classList.add("running");
+    open2.element.style.setProperty("--progress", percent * 100 + "%");
+    open2.primary.element.classList.remove("mdi-progress-pencil");
+    open2.primary.element.classList.add("mdi-play");
+  }
+  #removeActive() {
+    if (!this.activeElement) return;
+    this.activeElement.element.classList.remove("running");
+    this.activeElement.element.style.removeProperty("--progress");
+    this.activeElement.primary.element.classList.add("mdi-progress-pencil");
+    this.activeElement.primary.element.classList.remove("mdi-play");
+  }
+  #getFavoriteIcon(workflow) {
+    return workflow.isFavorite ? "star" : "file-outline";
+  }
+  #getFavoriteOverIcon(workflow) {
+    return workflow.isFavorite ? "star-off" : "star-outline";
+  }
+  #getFavoriteTooltip(workflow) {
+    return workflow.isFavorite ? "Remove this workflow from your favorites" : "Add this workflow to your favorites";
+  }
+  #getFavoriteButton(workflow, primary) {
+    return new ComfyButton({
+      icon: this.#getFavoriteIcon(workflow),
+      overIcon: this.#getFavoriteOverIcon(workflow),
+      iconSize: 18,
+      classList: "comfyui-button comfyui-workflows-file-action-favorite" + (primary ? " comfyui-workflows-file-action-primary" : ""),
+      tooltip: this.#getFavoriteTooltip(workflow),
+      action: /* @__PURE__ */ __name((e) => {
+        e.stopImmediatePropagation();
+        workflow.favorite(!workflow.isFavorite);
+      }, "action")
+    });
+  }
+  #getDeleteButton(workflow) {
+    const deleteButton = new ComfyButton({
+      icon: "delete",
+      tooltip: "Delete this workflow",
+      classList: "comfyui-button comfyui-workflows-file-action",
+      iconSize: 18,
+      action: /* @__PURE__ */ __name(async (e, btn) => {
+        e.stopImmediatePropagation();
+        if (btn.icon === "delete-empty") {
+          btn.enabled = false;
+          await workflow.delete();
+          await this.load();
+        } else {
+          btn.icon = "delete-empty";
+          btn.element.style.background = "red";
+        }
+      }, "action")
+    });
+    deleteButton.element.addEventListener("mouseleave", () => {
+      deleteButton.icon = "delete";
+      deleteButton.element.style.removeProperty("background");
+    });
+    return deleteButton;
+  }
+  #getInsertButton(workflow) {
+    return new ComfyButton({
+      icon: "file-move-outline",
+      iconSize: 18,
+      tooltip: "Insert this workflow into the current workflow",
+      classList: "comfyui-button comfyui-workflows-file-action",
+      action: /* @__PURE__ */ __name((e) => {
+        if (!this.app.shiftDown) {
+          this.popup.open = false;
+        }
+        e.stopImmediatePropagation();
+        if (!this.app.shiftDown) {
+          this.popup.open = false;
+        }
+        workflow.insert();
+      }, "action")
+    });
+  }
+  /** @param {ComfyWorkflow} workflow */
+  #getRenameButton(workflow) {
+    return new ComfyButton({
+      icon: "pencil",
+      tooltip: workflow.path ? "Rename this workflow" : "This workflow can't be renamed as it hasn't been saved.",
+      classList: "comfyui-button comfyui-workflows-file-action",
+      iconSize: 18,
+      enabled: !!workflow.path,
+      action: /* @__PURE__ */ __name(async (e) => {
+        e.stopImmediatePropagation();
+        const newName = prompt("Enter new name", workflow.path);
+        if (newName) {
+          await workflow.rename(newName);
+        }
+      }, "action")
+    });
+  }
+  #getWorkflowElement(workflow) {
+    return new WorkflowElement(this, workflow, {
+      primary: this.#getFavoriteButton(workflow, true),
+      buttons: [
+        this.#getInsertButton(workflow),
+        this.#getRenameButton(workflow),
+        this.#getDeleteButton(workflow)
+      ]
+    });
+  }
+  #createLeafNode(workflow) {
+    const fileNode = this.#getWorkflowElement(workflow);
+    this.treeFiles[workflow.path] = fileNode;
+    return fileNode;
+  }
+  #createNode(currentPath, workflow, i2, currentRoot) {
+    const part = workflow.pathParts[i2];
+    const parentNode = $el(
+      "ul" + (this.treeState[currentPath] ? "" : ".closed"),
+      {
+        $: /* @__PURE__ */ __name((el) => {
+          el.onclick = (e) => {
+            this.#expandNode(el, workflow, currentPath, i2);
+            e.stopImmediatePropagation();
+          };
+        }, "$")
+      }
+    );
+    currentRoot.append(parentNode);
+    const leaf2 = i2 === workflow.pathParts.length - 1;
+    let nodeElement;
+    if (leaf2) {
+      nodeElement = this.#createLeafNode(workflow).element;
+    } else {
+      nodeElement = $el("li", [
+        $el("i.mdi.mdi-18px.mdi-folder"),
+        $el("span", part)
+      ]);
+    }
+    parentNode.append(nodeElement);
+    return parentNode;
+  }
+}
+class WorkflowElement {
+  static {
+    __name(this, "WorkflowElement");
+  }
+  parent;
+  workflow;
+  primary;
+  buttons;
+  element;
+  constructor(parent, workflow, {
+    tagName = "li",
+    primary,
+    buttons
+  }) {
+    this.parent = parent;
+    this.workflow = workflow;
+    this.primary = primary;
+    this.buttons = buttons;
+    this.element = $el(
+      tagName + ".comfyui-workflows-tree-file",
+      {
+        onclick: /* @__PURE__ */ __name(() => {
+          workflow.load();
+          this.parent.popup.open = false;
+        }, "onclick"),
+        title: this.workflow.path
+      },
+      [
+        this.primary?.element,
+        $el("span", workflow.name),
+        ...buttons.map((b) => b.element)
+      ]
+    );
+  }
+}
+class WidgetSelectionDialog extends ComfyAsyncDialog {
+  static {
+    __name(this, "WidgetSelectionDialog");
+  }
+  #options;
+  constructor(options3) {
+    super();
+    this.#options = options3;
+  }
+  show(app2) {
+    this.element.classList.add("comfy-widget-selection-dialog");
+    return super.show(
+      $el("div", [
+        $el("h2", "Select image target"),
+        $el(
+          "p",
+          "This workflow has multiple image loader nodes, you can rename a node to include 'input' in the title for it to be automatically selected, or select one below."
+        ),
+        $el(
+          "section",
+          this.#options.map((opt) => {
+            return $el("div.comfy-widget-selection-item", [
+              $el(
+                "span",
+                { dataset: { id: opt.node.id } },
+                `${opt.node.title ?? opt.node.type} ${opt.widget.name}`
+              ),
+              $el(
+                "button.comfyui-button",
+                {
+                  onclick: /* @__PURE__ */ __name(() => {
+                    app2.canvas.ds.offset[0] = -opt.node.pos[0] + 50;
+                    app2.canvas.ds.offset[1] = -opt.node.pos[1] + 50;
+                    app2.canvas.selectNode(opt.node);
+                    app2.graph.setDirtyCanvas(true, true);
+                  }, "onclick")
+                },
+                "Show"
+              ),
+              $el(
+                "button.comfyui-button.primary",
+                {
+                  onclick: /* @__PURE__ */ __name(() => {
+                    this.close(opt);
+                  }, "onclick")
+                },
+                "Select"
+              )
+            ]);
+          })
+        )
+      ])
+    );
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.workflows = window.comfyAPI.workflows || {};
+window.comfyAPI.workflows.ComfyWorkflowsMenu = ComfyWorkflowsMenu;
+window.comfyAPI.workflows.ComfyWorkflowsContent = ComfyWorkflowsContent;
+function getInterruptButton(visibility) {
+  const btn = new ComfyButton({
+    icon: "close",
+    tooltip: "Cancel current generation",
+    enabled: false,
+    action: /* @__PURE__ */ __name(async () => {
+      await api.interrupt();
+      useToastStore().add({
+        severity: "info",
+        summary: "Interrupted",
+        detail: "Execution has been interrupted",
+        life: 1e3
+      });
+    }, "action"),
+    classList: ["comfyui-button", "comfyui-interrupt-button", visibility]
+  });
+  api.addEventListener(
+    "status",
+    ({ detail }) => {
+      const sz = detail?.exec_info?.queue_remaining;
+      btn.enabled = sz > 0;
+    }
+  );
+  return btn;
+}
+__name(getInterruptButton, "getInterruptButton");
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.interruptButton = window.comfyAPI.interruptButton || {};
+window.comfyAPI.interruptButton.getInterruptButton = getInterruptButton;
+const collapseOnMobile = /* @__PURE__ */ __name((t) => {
+  ;
+  (t.element ?? t).classList.add("comfyui-menu-mobile-collapse");
+  return t;
+}, "collapseOnMobile");
+const showOnMobile = /* @__PURE__ */ __name((t) => {
+  ;
+  (t.element ?? t).classList.add("lt-lg-show");
+  return t;
+}, "showOnMobile");
+class ComfyAppMenu {
+  static {
+    __name(this, "ComfyAppMenu");
+  }
+  #sizeBreak = "lg";
+  #lastSizeBreaks = {
+    lg: null,
+    md: null,
+    sm: null,
+    xs: null
+  };
+  #sizeBreaks = Object.keys(this.#lastSizeBreaks);
+  #cachedInnerSize = null;
+  #cacheTimeout = null;
+  app;
+  workflows;
+  logo;
+  saveButton;
+  actionsGroup;
+  settingsGroup;
+  viewGroup;
+  mobileMenuButton;
+  queueButton;
+  element;
+  menuPositionSetting;
+  position;
+  constructor(app2) {
+    this.app = app2;
+    this.workflows = new ComfyWorkflowsMenu(app2);
+    const getSaveButton = /* @__PURE__ */ __name((t) => new ComfyButton({
+      icon: "content-save",
+      tooltip: "Save the current workflow",
+      action: /* @__PURE__ */ __name(() => app2.workflowManager.activeWorkflow.save(), "action"),
+      content: t
+    }), "getSaveButton");
+    this.logo = $el("h1.comfyui-logo.nlg-hide", { title: "ComfyUI" }, "ComfyUI");
+    this.saveButton = new ComfySplitButton(
+      {
+        primary: getSaveButton(),
+        mode: "hover",
+        position: "absolute"
+      },
+      getSaveButton("Save"),
+      new ComfyButton({
+        icon: "content-save-edit",
+        content: "Save As",
+        tooltip: "Save the current graph as a new workflow",
+        action: /* @__PURE__ */ __name(() => app2.workflowManager.activeWorkflow.save(true), "action")
+      }),
+      new ComfyButton({
+        icon: "download",
+        content: "Export",
+        tooltip: "Export the current workflow as JSON",
+        action: /* @__PURE__ */ __name(() => this.exportWorkflow("workflow", "workflow"), "action")
+      }),
+      new ComfyButton({
+        icon: "api",
+        content: "Export (API Format)",
+        tooltip: "Export the current workflow as JSON for use with the ComfyUI API",
+        action: /* @__PURE__ */ __name(() => this.exportWorkflow("workflow_api", "output"), "action"),
+        visibilitySetting: { id: "Comfy.DevMode", showValue: true },
+        app: app2
+      })
+    );
+    this.actionsGroup = new ComfyButtonGroup(
+      new ComfyButton({
+        icon: "refresh",
+        content: "Refresh",
+        tooltip: "Refresh widgets in nodes to find new models or files",
+        action: /* @__PURE__ */ __name(() => app2.refreshComboInNodes(), "action")
+      }),
+      new ComfyButton({
+        icon: "clipboard-edit-outline",
+        content: "Clipspace",
+        tooltip: "Open Clipspace window",
+        action: /* @__PURE__ */ __name(() => app2["openClipspace"](), "action")
+      }),
+      new ComfyButton({
+        icon: "fit-to-page-outline",
+        content: "Reset View",
+        tooltip: "Reset the canvas view",
+        action: /* @__PURE__ */ __name(() => app2.resetView(), "action")
+      }),
+      new ComfyButton({
+        icon: "cancel",
+        content: "Clear",
+        tooltip: "Clears current workflow",
+        action: /* @__PURE__ */ __name(() => {
+          if (!app2.ui.settings.getSettingValue("Comfy.ConfirmClear", true) || confirm("Clear workflow?")) {
+            app2.clean();
+            app2.graph.clear();
+            api.dispatchEvent(new CustomEvent("graphCleared"));
+          }
+        }, "action")
+      })
+    );
+    this.settingsGroup = new ComfyButtonGroup();
+    this.viewGroup = new ComfyButtonGroup(
+      getInterruptButton("nlg-hide").element
+    );
+    this.mobileMenuButton = new ComfyButton({
+      icon: "menu",
+      action: /* @__PURE__ */ __name((_2, btn) => {
+        btn.icon = this.element.classList.toggle("expanded") ? "menu-open" : "menu";
+        window.dispatchEvent(new Event("resize"));
+      }, "action"),
+      classList: "comfyui-button comfyui-menu-button"
+    });
+    this.queueButton = new ComfyQueueButton(app2);
+    this.element = $el("nav.comfyui-menu.lg", { style: { display: "none" } }, [
+      this.logo,
+      this.workflows.element,
+      this.saveButton.element,
+      collapseOnMobile(this.actionsGroup).element,
+      $el("section.comfyui-menu-push"),
+      collapseOnMobile(this.settingsGroup).element,
+      collapseOnMobile(this.viewGroup).element,
+      getInterruptButton("lt-lg-show").element,
+      this.queueButton.element,
+      showOnMobile(this.mobileMenuButton).element
+    ]);
+    let resizeHandler;
+    this.menuPositionSetting = app2.ui.settings.addSetting({
+      id: "Comfy.UseNewMenu",
+      category: ["Comfy", "Menu", "UseNewMenu"],
+      defaultValue: "Disabled",
+      name: "Use new menu and workflow management.",
+      experimental: true,
+      tooltip: "On small screens the menu will always be at the top.",
+      type: "combo",
+      options: ["Disabled", "Top", "Bottom"],
+      onChange: /* @__PURE__ */ __name(async (v2) => {
+        if (v2 && v2 !== "Disabled") {
+          if (!resizeHandler) {
+            resizeHandler = /* @__PURE__ */ __name(() => {
+              this.calculateSizeBreak();
+            }, "resizeHandler");
+            window.addEventListener("resize", resizeHandler);
+          }
+          this.updatePosition(v2);
+        } else {
+          if (resizeHandler) {
+            window.removeEventListener("resize", resizeHandler);
+            resizeHandler = null;
+          }
+          document.body.style.removeProperty("display");
+          app2.ui.menuContainer.style.removeProperty("display");
+          this.element.style.display = "none";
+          app2.ui.restoreMenuPosition();
+        }
+        window.dispatchEvent(new Event("resize"));
+      }, "onChange")
+    });
+  }
+  updatePosition(v2) {
+    document.body.style.display = "grid";
+    this.app.ui.menuContainer.style.display = "none";
+    this.element.style.removeProperty("display");
+    this.position = v2;
+    if (v2 === "Bottom") {
+      this.app.bodyBottom.append(this.element);
+    } else {
+      this.app.bodyTop.prepend(this.element);
+    }
+    this.calculateSizeBreak();
+  }
+  updateSizeBreak(idx, prevIdx, direction) {
+    const newSize = this.#sizeBreaks[idx];
+    if (newSize === this.#sizeBreak) return;
+    this.#cachedInnerSize = null;
+    clearTimeout(this.#cacheTimeout);
+    this.#sizeBreak = this.#sizeBreaks[idx];
+    for (let i2 = 0; i2 < this.#sizeBreaks.length; i2++) {
+      const sz = this.#sizeBreaks[i2];
+      if (sz === this.#sizeBreak) {
+        this.element.classList.add(sz);
+      } else {
+        this.element.classList.remove(sz);
+      }
+      if (i2 < idx) {
+        this.element.classList.add("lt-" + sz);
+      } else {
+        this.element.classList.remove("lt-" + sz);
+      }
+    }
+    if (idx) {
+      if (this.position !== "Top") {
+        this.updatePosition("Top");
+      }
+    } else if (this.position != this.menuPositionSetting.value) {
+      this.updatePosition(this.menuPositionSetting.value);
+    }
+    if (!direction) {
+      direction = prevIdx - idx;
+    } else if (direction != prevIdx - idx) {
+      return;
+    }
+    this.calculateSizeBreak(direction);
+  }
+  calculateSizeBreak(direction = 0) {
+    let idx = this.#sizeBreaks.indexOf(this.#sizeBreak);
+    const currIdx = idx;
+    const innerSize = this.calculateInnerSize(idx);
+    if (window.innerWidth >= this.#lastSizeBreaks[this.#sizeBreaks[idx - 1]]) {
+      if (idx > 0) {
+        idx--;
+      }
+    } else if (innerSize > this.element.clientWidth) {
+      this.#lastSizeBreaks[this.#sizeBreak] = Math.max(
+        window.innerWidth,
+        innerSize
+      );
+      if (idx < this.#sizeBreaks.length - 1) {
+        idx++;
+      }
+    }
+    this.updateSizeBreak(idx, currIdx, direction);
+  }
+  calculateInnerSize(idx) {
+    clearTimeout(this.#cacheTimeout);
+    if (this.#cachedInnerSize) {
+      this.#cacheTimeout = setTimeout(() => this.#cachedInnerSize = null, 100);
+    } else {
+      let innerSize = 0;
+      let count = 1;
+      for (const c of this.element.children) {
+        if (c.classList.contains("comfyui-menu-push")) continue;
+        if (idx && c.classList.contains("comfyui-menu-mobile-collapse"))
+          continue;
+        innerSize += c.clientWidth;
+        count++;
+      }
+      innerSize += 8 * count;
+      this.#cachedInnerSize = innerSize;
+      this.#cacheTimeout = setTimeout(() => this.#cachedInnerSize = null, 100);
+    }
+    return this.#cachedInnerSize;
+  }
+  getFilename(defaultName) {
+    if (this.app.ui.settings.getSettingValue("Comfy.PromptFilename", true)) {
+      defaultName = prompt("Save workflow as:", defaultName);
+      if (!defaultName) return;
+      if (!defaultName.toLowerCase().endsWith(".json")) {
+        defaultName += ".json";
+      }
+    }
+    return defaultName;
+  }
+  async exportWorkflow(filename, promptProperty) {
+    if (this.app.workflowManager.activeWorkflow?.path) {
+      filename = this.app.workflowManager.activeWorkflow.name;
+    }
+    const p2 = await this.app.graphToPrompt();
+    const json = JSON.stringify(p2[promptProperty], null, 2);
+    const blob = new Blob([json], { type: "application/json" });
+    const file = this.getFilename(filename);
+    if (!file) return;
+    downloadBlob(file, blob);
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.index = window.comfyAPI.index || {};
+window.comfyAPI.index.ComfyAppMenu = ComfyAppMenu;
+const getNodeSource = /* @__PURE__ */ __name((python_module) => {
+  const modules = python_module.split(".");
+  if (["nodes", "comfy_extras"].includes(modules[0])) {
+    return {
+      type: "core",
+      className: "comfy-core",
+      displayText: "Comfy Core"
+    };
+  } else if (modules[0] === "custom_nodes") {
+    return {
+      type: "custom_nodes",
+      className: "comfy-custom-nodes",
+      displayText: modules[1]
+    };
+  } else {
+    throw new Error(`Unknown node source: ${python_module}`);
+  }
+}, "getNodeSource");
+function isArray(value3) {
+  return !Array.isArray ? getTag(value3) === "[object Array]" : Array.isArray(value3);
+}
+__name(isArray, "isArray");
+const INFINITY = 1 / 0;
+function baseToString(value3) {
+  if (typeof value3 == "string") {
+    return value3;
+  }
+  let result = value3 + "";
+  return result == "0" && 1 / value3 == -INFINITY ? "-0" : result;
+}
+__name(baseToString, "baseToString");
+function toString(value3) {
+  return value3 == null ? "" : baseToString(value3);
+}
+__name(toString, "toString");
+function isString(value3) {
+  return typeof value3 === "string";
+}
+__name(isString, "isString");
+function isNumber(value3) {
+  return typeof value3 === "number";
+}
+__name(isNumber, "isNumber");
+function isBoolean(value3) {
+  return value3 === true || value3 === false || isObjectLike(value3) && getTag(value3) == "[object Boolean]";
+}
+__name(isBoolean, "isBoolean");
+function isObject(value3) {
+  return typeof value3 === "object";
+}
+__name(isObject, "isObject");
+function isObjectLike(value3) {
+  return isObject(value3) && value3 !== null;
+}
+__name(isObjectLike, "isObjectLike");
+function isDefined(value3) {
+  return value3 !== void 0 && value3 !== null;
+}
+__name(isDefined, "isDefined");
+function isBlank(value3) {
+  return !value3.trim().length;
+}
+__name(isBlank, "isBlank");
+function getTag(value3) {
+  return value3 == null ? value3 === void 0 ? "[object Undefined]" : "[object Null]" : Object.prototype.toString.call(value3);
+}
+__name(getTag, "getTag");
+const EXTENDED_SEARCH_UNAVAILABLE = "Extended search is not available";
+const INCORRECT_INDEX_TYPE = "Incorrect 'index' type";
+const LOGICAL_SEARCH_INVALID_QUERY_FOR_KEY = /* @__PURE__ */ __name((key) => `Invalid value for key ${key}`, "LOGICAL_SEARCH_INVALID_QUERY_FOR_KEY");
+const PATTERN_LENGTH_TOO_LARGE = /* @__PURE__ */ __name((max) => `Pattern length exceeds max of ${max}.`, "PATTERN_LENGTH_TOO_LARGE");
+const MISSING_KEY_PROPERTY = /* @__PURE__ */ __name((name) => `Missing ${name} property in key`, "MISSING_KEY_PROPERTY");
+const INVALID_KEY_WEIGHT_VALUE = /* @__PURE__ */ __name((key) => `Property 'weight' in key '${key}' must be a positive integer`, "INVALID_KEY_WEIGHT_VALUE");
+const hasOwn = Object.prototype.hasOwnProperty;
+class KeyStore {
+  static {
+    __name(this, "KeyStore");
+  }
+  constructor(keys2) {
+    this._keys = [];
+    this._keyMap = {};
+    let totalWeight = 0;
+    keys2.forEach((key) => {
+      let obj = createKey(key);
+      this._keys.push(obj);
+      this._keyMap[obj.id] = obj;
+      totalWeight += obj.weight;
+    });
+    this._keys.forEach((key) => {
+      key.weight /= totalWeight;
+    });
+  }
+  get(keyId) {
+    return this._keyMap[keyId];
+  }
+  keys() {
+    return this._keys;
+  }
+  toJSON() {
+    return JSON.stringify(this._keys);
+  }
+}
+function createKey(key) {
+  let path = null;
+  let id2 = null;
+  let src = null;
+  let weight = 1;
+  let getFn = null;
+  if (isString(key) || isArray(key)) {
+    src = key;
+    path = createKeyPath(key);
+    id2 = createKeyId(key);
+  } else {
+    if (!hasOwn.call(key, "name")) {
+      throw new Error(MISSING_KEY_PROPERTY("name"));
+    }
+    const name = key.name;
+    src = name;
+    if (hasOwn.call(key, "weight")) {
+      weight = key.weight;
+      if (weight <= 0) {
+        throw new Error(INVALID_KEY_WEIGHT_VALUE(name));
+      }
+    }
+    path = createKeyPath(name);
+    id2 = createKeyId(name);
+    getFn = key.getFn;
+  }
+  return { path, id: id2, weight, src, getFn };
+}
+__name(createKey, "createKey");
+function createKeyPath(key) {
+  return isArray(key) ? key : key.split(".");
+}
+__name(createKeyPath, "createKeyPath");
+function createKeyId(key) {
+  return isArray(key) ? key.join(".") : key;
+}
+__name(createKeyId, "createKeyId");
+function get(obj, path) {
+  let list = [];
+  let arr = false;
+  const deepGet = /* @__PURE__ */ __name((obj2, path2, index2) => {
+    if (!isDefined(obj2)) {
+      return;
+    }
+    if (!path2[index2]) {
+      list.push(obj2);
+    } else {
+      let key = path2[index2];
+      const value3 = obj2[key];
+      if (!isDefined(value3)) {
+        return;
+      }
+      if (index2 === path2.length - 1 && (isString(value3) || isNumber(value3) || isBoolean(value3))) {
+        list.push(toString(value3));
+      } else if (isArray(value3)) {
+        arr = true;
+        for (let i2 = 0, len = value3.length; i2 < len; i2 += 1) {
+          deepGet(value3[i2], path2, index2 + 1);
+        }
+      } else if (path2.length) {
+        deepGet(value3, path2, index2 + 1);
+      }
+    }
+  }, "deepGet");
+  deepGet(obj, isString(path) ? path.split(".") : path, 0);
+  return arr ? list : list[0];
+}
+__name(get, "get");
+const MatchOptions = {
+  // Whether the matches should be included in the result set. When `true`, each record in the result
+  // set will include the indices of the matched characters.
+  // These can consequently be used for highlighting purposes.
+  includeMatches: false,
+  // When `true`, the matching function will continue to the end of a search pattern even if
+  // a perfect match has already been located in the string.
+  findAllMatches: false,
+  // Minimum number of characters that must be matched before a result is considered a match
+  minMatchCharLength: 1
+};
+const BasicOptions = {
+  // When `true`, the algorithm continues searching to the end of the input even if a perfect
+  // match is found before the end of the same input.
+  isCaseSensitive: false,
+  // When true, the matching function will continue to the end of a search pattern even if
+  includeScore: false,
+  // List of properties that will be searched. This also supports nested properties.
+  keys: [],
+  // Whether to sort the result list, by score
+  shouldSort: true,
+  // Default sort function: sort by ascending score, ascending index
+  sortFn: /* @__PURE__ */ __name((a, b) => a.score === b.score ? a.idx < b.idx ? -1 : 1 : a.score < b.score ? -1 : 1, "sortFn")
+};
+const FuzzyOptions = {
+  // Approximately where in the text is the pattern expected to be found?
+  location: 0,
+  // At what point does the match algorithm give up. A threshold of '0.0' requires a perfect match
+  // (of both letters and location), a threshold of '1.0' would match anything.
+  threshold: 0.6,
+  // Determines how close the match must be to the fuzzy location (specified above).
+  // An exact letter match which is 'distance' characters away from the fuzzy location
+  // would score as a complete mismatch. A distance of '0' requires the match be at
+  // the exact location specified, a threshold of '1000' would require a perfect match
+  // to be within 800 characters of the fuzzy location to be found using a 0.8 threshold.
+  distance: 100
+};
+const AdvancedOptions = {
+  // When `true`, it enables the use of unix-like search commands
+  useExtendedSearch: false,
+  // The get function to use when fetching an object's properties.
+  // The default will search nested paths *ie foo.bar.baz*
+  getFn: get,
+  // When `true`, search will ignore `location` and `distance`, so it won't matter
+  // where in the string the pattern appears.
+  // More info: https://fusejs.io/concepts/scoring-theory.html#fuzziness-score
+  ignoreLocation: false,
+  // When `true`, the calculation for the relevance score (used for sorting) will
+  // ignore the field-length norm.
+  // More info: https://fusejs.io/concepts/scoring-theory.html#field-length-norm
+  ignoreFieldNorm: false,
+  // The weight to determine how much field length norm effects scoring.
+  fieldNormWeight: 1
+};
+var Config = {
+  ...BasicOptions,
+  ...MatchOptions,
+  ...FuzzyOptions,
+  ...AdvancedOptions
+};
+const SPACE = /[^ ]+/g;
+function norm(weight = 1, mantissa = 3) {
+  const cache2 = /* @__PURE__ */ new Map();
+  const m = Math.pow(10, mantissa);
+  return {
+    get(value3) {
+      const numTokens = value3.match(SPACE).length;
+      if (cache2.has(numTokens)) {
+        return cache2.get(numTokens);
+      }
+      const norm2 = 1 / Math.pow(numTokens, 0.5 * weight);
+      const n = parseFloat(Math.round(norm2 * m) / m);
+      cache2.set(numTokens, n);
+      return n;
+    },
+    clear() {
+      cache2.clear();
+    }
+  };
+}
+__name(norm, "norm");
+class FuseIndex {
+  static {
+    __name(this, "FuseIndex");
+  }
+  constructor({
+    getFn = Config.getFn,
+    fieldNormWeight = Config.fieldNormWeight
+  } = {}) {
+    this.norm = norm(fieldNormWeight, 3);
+    this.getFn = getFn;
+    this.isCreated = false;
+    this.setIndexRecords();
+  }
+  setSources(docs = []) {
+    this.docs = docs;
+  }
+  setIndexRecords(records = []) {
+    this.records = records;
+  }
+  setKeys(keys2 = []) {
+    this.keys = keys2;
+    this._keysMap = {};
+    keys2.forEach((key, idx) => {
+      this._keysMap[key.id] = idx;
+    });
+  }
+  create() {
+    if (this.isCreated || !this.docs.length) {
+      return;
+    }
+    this.isCreated = true;
+    if (isString(this.docs[0])) {
+      this.docs.forEach((doc2, docIndex) => {
+        this._addString(doc2, docIndex);
+      });
+    } else {
+      this.docs.forEach((doc2, docIndex) => {
+        this._addObject(doc2, docIndex);
+      });
+    }
+    this.norm.clear();
+  }
+  // Adds a doc to the end of the index
+  add(doc2) {
+    const idx = this.size();
+    if (isString(doc2)) {
+      this._addString(doc2, idx);
+    } else {
+      this._addObject(doc2, idx);
+    }
+  }
+  // Removes the doc at the specified index of the index
+  removeAt(idx) {
+    this.records.splice(idx, 1);
+    for (let i2 = idx, len = this.size(); i2 < len; i2 += 1) {
+      this.records[i2].i -= 1;
+    }
+  }
+  getValueForItemAtKeyId(item2, keyId) {
+    return item2[this._keysMap[keyId]];
+  }
+  size() {
+    return this.records.length;
+  }
+  _addString(doc2, docIndex) {
+    if (!isDefined(doc2) || isBlank(doc2)) {
+      return;
+    }
+    let record = {
+      v: doc2,
+      i: docIndex,
+      n: this.norm.get(doc2)
+    };
+    this.records.push(record);
+  }
+  _addObject(doc2, docIndex) {
+    let record = { i: docIndex, $: {} };
+    this.keys.forEach((key, keyIndex) => {
+      let value3 = key.getFn ? key.getFn(doc2) : this.getFn(doc2, key.path);
+      if (!isDefined(value3)) {
+        return;
+      }
+      if (isArray(value3)) {
+        let subRecords = [];
+        const stack2 = [{ nestedArrIndex: -1, value: value3 }];
+        while (stack2.length) {
+          const { nestedArrIndex, value: value4 } = stack2.pop();
+          if (!isDefined(value4)) {
+            continue;
+          }
+          if (isString(value4) && !isBlank(value4)) {
+            let subRecord = {
+              v: value4,
+              i: nestedArrIndex,
+              n: this.norm.get(value4)
+            };
+            subRecords.push(subRecord);
+          } else if (isArray(value4)) {
+            value4.forEach((item2, k) => {
+              stack2.push({
+                nestedArrIndex: k,
+                value: item2
+              });
+            });
+          } else ;
+        }
+        record.$[keyIndex] = subRecords;
+      } else if (isString(value3) && !isBlank(value3)) {
+        let subRecord = {
+          v: value3,
+          n: this.norm.get(value3)
+        };
+        record.$[keyIndex] = subRecord;
+      }
+    });
+    this.records.push(record);
+  }
+  toJSON() {
+    return {
+      keys: this.keys,
+      records: this.records
+    };
+  }
+}
+function createIndex(keys2, docs, { getFn = Config.getFn, fieldNormWeight = Config.fieldNormWeight } = {}) {
+  const myIndex = new FuseIndex({ getFn, fieldNormWeight });
+  myIndex.setKeys(keys2.map(createKey));
+  myIndex.setSources(docs);
+  myIndex.create();
+  return myIndex;
+}
+__name(createIndex, "createIndex");
+function parseIndex(data24, { getFn = Config.getFn, fieldNormWeight = Config.fieldNormWeight } = {}) {
+  const { keys: keys2, records } = data24;
+  const myIndex = new FuseIndex({ getFn, fieldNormWeight });
+  myIndex.setKeys(keys2);
+  myIndex.setIndexRecords(records);
+  return myIndex;
+}
+__name(parseIndex, "parseIndex");
+function computeScore$1(pattern, {
+  errors = 0,
+  currentLocation = 0,
+  expectedLocation = 0,
+  distance: distance2 = Config.distance,
+  ignoreLocation = Config.ignoreLocation
+} = {}) {
+  const accuracy = errors / pattern.length;
+  if (ignoreLocation) {
+    return accuracy;
+  }
+  const proximity = Math.abs(expectedLocation - currentLocation);
+  if (!distance2) {
+    return proximity ? 1 : accuracy;
+  }
+  return accuracy + proximity / distance2;
+}
+__name(computeScore$1, "computeScore$1");
+function convertMaskToIndices(matchmask = [], minMatchCharLength = Config.minMatchCharLength) {
+  let indices = [];
+  let start2 = -1;
+  let end = -1;
+  let i2 = 0;
+  for (let len = matchmask.length; i2 < len; i2 += 1) {
+    let match = matchmask[i2];
+    if (match && start2 === -1) {
+      start2 = i2;
+    } else if (!match && start2 !== -1) {
+      end = i2 - 1;
+      if (end - start2 + 1 >= minMatchCharLength) {
+        indices.push([start2, end]);
+      }
+      start2 = -1;
+    }
+  }
+  if (matchmask[i2 - 1] && i2 - start2 >= minMatchCharLength) {
+    indices.push([start2, i2 - 1]);
+  }
+  return indices;
+}
+__name(convertMaskToIndices, "convertMaskToIndices");
+const MAX_BITS = 32;
+function search(text, pattern, patternAlphabet, {
+  location: location2 = Config.location,
+  distance: distance2 = Config.distance,
+  threshold = Config.threshold,
+  findAllMatches = Config.findAllMatches,
+  minMatchCharLength = Config.minMatchCharLength,
+  includeMatches = Config.includeMatches,
+  ignoreLocation = Config.ignoreLocation
+} = {}) {
+  if (pattern.length > MAX_BITS) {
+    throw new Error(PATTERN_LENGTH_TOO_LARGE(MAX_BITS));
+  }
+  const patternLen = pattern.length;
+  const textLen = text.length;
+  const expectedLocation = Math.max(0, Math.min(location2, textLen));
+  let currentThreshold = threshold;
+  let bestLocation = expectedLocation;
+  const computeMatches = minMatchCharLength > 1 || includeMatches;
+  const matchMask = computeMatches ? Array(textLen) : [];
+  let index2;
+  while ((index2 = text.indexOf(pattern, bestLocation)) > -1) {
+    let score = computeScore$1(pattern, {
+      currentLocation: index2,
+      expectedLocation,
+      distance: distance2,
+      ignoreLocation
+    });
+    currentThreshold = Math.min(score, currentThreshold);
+    bestLocation = index2 + patternLen;
+    if (computeMatches) {
+      let i2 = 0;
+      while (i2 < patternLen) {
+        matchMask[index2 + i2] = 1;
+        i2 += 1;
+      }
+    }
+  }
+  bestLocation = -1;
+  let lastBitArr = [];
+  let finalScore = 1;
+  let binMax = patternLen + textLen;
+  const mask3 = 1 << patternLen - 1;
+  for (let i2 = 0; i2 < patternLen; i2 += 1) {
+    let binMin = 0;
+    let binMid = binMax;
+    while (binMin < binMid) {
+      const score2 = computeScore$1(pattern, {
+        errors: i2,
+        currentLocation: expectedLocation + binMid,
+        expectedLocation,
+        distance: distance2,
+        ignoreLocation
+      });
+      if (score2 <= currentThreshold) {
+        binMin = binMid;
+      } else {
+        binMax = binMid;
+      }
+      binMid = Math.floor((binMax - binMin) / 2 + binMin);
+    }
+    binMax = binMid;
+    let start2 = Math.max(1, expectedLocation - binMid + 1);
+    let finish = findAllMatches ? textLen : Math.min(expectedLocation + binMid, textLen) + patternLen;
+    let bitArr = Array(finish + 2);
+    bitArr[finish + 1] = (1 << i2) - 1;
+    for (let j = finish; j >= start2; j -= 1) {
+      let currentLocation = j - 1;
+      let charMatch = patternAlphabet[text.charAt(currentLocation)];
+      if (computeMatches) {
+        matchMask[currentLocation] = +!!charMatch;
+      }
+      bitArr[j] = (bitArr[j + 1] << 1 | 1) & charMatch;
+      if (i2) {
+        bitArr[j] |= (lastBitArr[j + 1] | lastBitArr[j]) << 1 | 1 | lastBitArr[j + 1];
+      }
+      if (bitArr[j] & mask3) {
+        finalScore = computeScore$1(pattern, {
+          errors: i2,
+          currentLocation,
+          expectedLocation,
+          distance: distance2,
+          ignoreLocation
+        });
+        if (finalScore <= currentThreshold) {
+          currentThreshold = finalScore;
+          bestLocation = currentLocation;
+          if (bestLocation <= expectedLocation) {
+            break;
+          }
+          start2 = Math.max(1, 2 * expectedLocation - bestLocation);
+        }
+      }
+    }
+    const score = computeScore$1(pattern, {
+      errors: i2 + 1,
+      currentLocation: expectedLocation,
+      expectedLocation,
+      distance: distance2,
+      ignoreLocation
+    });
+    if (score > currentThreshold) {
+      break;
+    }
+    lastBitArr = bitArr;
+  }
+  const result = {
+    isMatch: bestLocation >= 0,
+    // Count exact matches (those with a score of 0) to be "almost" exact
+    score: Math.max(1e-3, finalScore)
+  };
+  if (computeMatches) {
+    const indices = convertMaskToIndices(matchMask, minMatchCharLength);
+    if (!indices.length) {
+      result.isMatch = false;
+    } else if (includeMatches) {
+      result.indices = indices;
+    }
+  }
+  return result;
+}
+__name(search, "search");
+function createPatternAlphabet(pattern) {
+  let mask3 = {};
+  for (let i2 = 0, len = pattern.length; i2 < len; i2 += 1) {
+    const char = pattern.charAt(i2);
+    mask3[char] = (mask3[char] || 0) | 1 << len - i2 - 1;
+  }
+  return mask3;
+}
+__name(createPatternAlphabet, "createPatternAlphabet");
+class BitapSearch {
+  static {
+    __name(this, "BitapSearch");
+  }
+  constructor(pattern, {
+    location: location2 = Config.location,
+    threshold = Config.threshold,
+    distance: distance2 = Config.distance,
+    includeMatches = Config.includeMatches,
+    findAllMatches = Config.findAllMatches,
+    minMatchCharLength = Config.minMatchCharLength,
+    isCaseSensitive = Config.isCaseSensitive,
+    ignoreLocation = Config.ignoreLocation
+  } = {}) {
+    this.options = {
+      location: location2,
+      threshold,
+      distance: distance2,
+      includeMatches,
+      findAllMatches,
+      minMatchCharLength,
+      isCaseSensitive,
+      ignoreLocation
+    };
+    this.pattern = isCaseSensitive ? pattern : pattern.toLowerCase();
+    this.chunks = [];
+    if (!this.pattern.length) {
+      return;
+    }
+    const addChunk = /* @__PURE__ */ __name((pattern2, startIndex) => {
+      this.chunks.push({
+        pattern: pattern2,
+        alphabet: createPatternAlphabet(pattern2),
+        startIndex
+      });
+    }, "addChunk");
+    const len = this.pattern.length;
+    if (len > MAX_BITS) {
+      let i2 = 0;
+      const remainder = len % MAX_BITS;
+      const end = len - remainder;
+      while (i2 < end) {
+        addChunk(this.pattern.substr(i2, MAX_BITS), i2);
+        i2 += MAX_BITS;
+      }
+      if (remainder) {
+        const startIndex = len - MAX_BITS;
+        addChunk(this.pattern.substr(startIndex), startIndex);
+      }
+    } else {
+      addChunk(this.pattern, 0);
+    }
+  }
+  searchIn(text) {
+    const { isCaseSensitive, includeMatches } = this.options;
+    if (!isCaseSensitive) {
+      text = text.toLowerCase();
+    }
+    if (this.pattern === text) {
+      let result2 = {
+        isMatch: true,
+        score: 0
+      };
+      if (includeMatches) {
+        result2.indices = [[0, text.length - 1]];
+      }
+      return result2;
+    }
+    const {
+      location: location2,
+      distance: distance2,
+      threshold,
+      findAllMatches,
+      minMatchCharLength,
+      ignoreLocation
+    } = this.options;
+    let allIndices = [];
+    let totalScore = 0;
+    let hasMatches = false;
+    this.chunks.forEach(({ pattern, alphabet, startIndex }) => {
+      const { isMatch, score, indices } = search(text, pattern, alphabet, {
+        location: location2 + startIndex,
+        distance: distance2,
+        threshold,
+        findAllMatches,
+        minMatchCharLength,
+        includeMatches,
+        ignoreLocation
+      });
+      if (isMatch) {
+        hasMatches = true;
+      }
+      totalScore += score;
+      if (isMatch && indices) {
+        allIndices = [...allIndices, ...indices];
+      }
+    });
+    let result = {
+      isMatch: hasMatches,
+      score: hasMatches ? totalScore / this.chunks.length : 1
+    };
+    if (hasMatches && includeMatches) {
+      result.indices = allIndices;
+    }
+    return result;
+  }
+}
+class BaseMatch {
+  static {
+    __name(this, "BaseMatch");
+  }
+  constructor(pattern) {
+    this.pattern = pattern;
+  }
+  static isMultiMatch(pattern) {
+    return getMatch(pattern, this.multiRegex);
+  }
+  static isSingleMatch(pattern) {
+    return getMatch(pattern, this.singleRegex);
+  }
+  search() {
+  }
+}
+function getMatch(pattern, exp) {
+  const matches2 = pattern.match(exp);
+  return matches2 ? matches2[1] : null;
+}
+__name(getMatch, "getMatch");
+class ExactMatch extends BaseMatch {
+  static {
+    __name(this, "ExactMatch");
+  }
+  constructor(pattern) {
+    super(pattern);
+  }
+  static get type() {
+    return "exact";
+  }
+  static get multiRegex() {
+    return /^="(.*)"$/;
+  }
+  static get singleRegex() {
+    return /^=(.*)$/;
+  }
+  search(text) {
+    const isMatch = text === this.pattern;
+    return {
+      isMatch,
+      score: isMatch ? 0 : 1,
+      indices: [0, this.pattern.length - 1]
+    };
+  }
+}
+class InverseExactMatch extends BaseMatch {
+  static {
+    __name(this, "InverseExactMatch");
+  }
+  constructor(pattern) {
+    super(pattern);
+  }
+  static get type() {
+    return "inverse-exact";
+  }
+  static get multiRegex() {
+    return /^!"(.*)"$/;
+  }
+  static get singleRegex() {
+    return /^!(.*)$/;
+  }
+  search(text) {
+    const index2 = text.indexOf(this.pattern);
+    const isMatch = index2 === -1;
+    return {
+      isMatch,
+      score: isMatch ? 0 : 1,
+      indices: [0, text.length - 1]
+    };
+  }
+}
+class PrefixExactMatch extends BaseMatch {
+  static {
+    __name(this, "PrefixExactMatch");
+  }
+  constructor(pattern) {
+    super(pattern);
+  }
+  static get type() {
+    return "prefix-exact";
+  }
+  static get multiRegex() {
+    return /^\^"(.*)"$/;
+  }
+  static get singleRegex() {
+    return /^\^(.*)$/;
+  }
+  search(text) {
+    const isMatch = text.startsWith(this.pattern);
+    return {
+      isMatch,
+      score: isMatch ? 0 : 1,
+      indices: [0, this.pattern.length - 1]
+    };
+  }
+}
+class InversePrefixExactMatch extends BaseMatch {
+  static {
+    __name(this, "InversePrefixExactMatch");
+  }
+  constructor(pattern) {
+    super(pattern);
+  }
+  static get type() {
+    return "inverse-prefix-exact";
+  }
+  static get multiRegex() {
+    return /^!\^"(.*)"$/;
+  }
+  static get singleRegex() {
+    return /^!\^(.*)$/;
+  }
+  search(text) {
+    const isMatch = !text.startsWith(this.pattern);
+    return {
+      isMatch,
+      score: isMatch ? 0 : 1,
+      indices: [0, text.length - 1]
+    };
+  }
+}
+class SuffixExactMatch extends BaseMatch {
+  static {
+    __name(this, "SuffixExactMatch");
+  }
+  constructor(pattern) {
+    super(pattern);
+  }
+  static get type() {
+    return "suffix-exact";
+  }
+  static get multiRegex() {
+    return /^"(.*)"\$$/;
+  }
+  static get singleRegex() {
+    return /^(.*)\$$/;
+  }
+  search(text) {
+    const isMatch = text.endsWith(this.pattern);
+    return {
+      isMatch,
+      score: isMatch ? 0 : 1,
+      indices: [text.length - this.pattern.length, text.length - 1]
+    };
+  }
+}
+class InverseSuffixExactMatch extends BaseMatch {
+  static {
+    __name(this, "InverseSuffixExactMatch");
+  }
+  constructor(pattern) {
+    super(pattern);
+  }
+  static get type() {
+    return "inverse-suffix-exact";
+  }
+  static get multiRegex() {
+    return /^!"(.*)"\$$/;
+  }
+  static get singleRegex() {
+    return /^!(.*)\$$/;
+  }
+  search(text) {
+    const isMatch = !text.endsWith(this.pattern);
+    return {
+      isMatch,
+      score: isMatch ? 0 : 1,
+      indices: [0, text.length - 1]
+    };
+  }
+}
+class FuzzyMatch extends BaseMatch {
+  static {
+    __name(this, "FuzzyMatch");
+  }
+  constructor(pattern, {
+    location: location2 = Config.location,
+    threshold = Config.threshold,
+    distance: distance2 = Config.distance,
+    includeMatches = Config.includeMatches,
+    findAllMatches = Config.findAllMatches,
+    minMatchCharLength = Config.minMatchCharLength,
+    isCaseSensitive = Config.isCaseSensitive,
+    ignoreLocation = Config.ignoreLocation
+  } = {}) {
+    super(pattern);
+    this._bitapSearch = new BitapSearch(pattern, {
+      location: location2,
+      threshold,
+      distance: distance2,
+      includeMatches,
+      findAllMatches,
+      minMatchCharLength,
+      isCaseSensitive,
+      ignoreLocation
+    });
+  }
+  static get type() {
+    return "fuzzy";
+  }
+  static get multiRegex() {
+    return /^"(.*)"$/;
+  }
+  static get singleRegex() {
+    return /^(.*)$/;
+  }
+  search(text) {
+    return this._bitapSearch.searchIn(text);
+  }
+}
+class IncludeMatch extends BaseMatch {
+  static {
+    __name(this, "IncludeMatch");
+  }
+  constructor(pattern) {
+    super(pattern);
+  }
+  static get type() {
+    return "include";
+  }
+  static get multiRegex() {
+    return /^'"(.*)"$/;
+  }
+  static get singleRegex() {
+    return /^'(.*)$/;
+  }
+  search(text) {
+    let location2 = 0;
+    let index2;
+    const indices = [];
+    const patternLen = this.pattern.length;
+    while ((index2 = text.indexOf(this.pattern, location2)) > -1) {
+      location2 = index2 + patternLen;
+      indices.push([index2, location2 - 1]);
+    }
+    const isMatch = !!indices.length;
+    return {
+      isMatch,
+      score: isMatch ? 0 : 1,
+      indices
+    };
+  }
+}
+const searchers = [
+  ExactMatch,
+  IncludeMatch,
+  PrefixExactMatch,
+  InversePrefixExactMatch,
+  InverseSuffixExactMatch,
+  SuffixExactMatch,
+  InverseExactMatch,
+  FuzzyMatch
+];
+const searchersLen = searchers.length;
+const SPACE_RE = / +(?=(?:[^\"]*\"[^\"]*\")*[^\"]*$)/;
+const OR_TOKEN = "|";
+function parseQuery(pattern, options3 = {}) {
+  return pattern.split(OR_TOKEN).map((item2) => {
+    let query = item2.trim().split(SPACE_RE).filter((item3) => item3 && !!item3.trim());
+    let results = [];
+    for (let i2 = 0, len = query.length; i2 < len; i2 += 1) {
+      const queryItem = query[i2];
+      let found = false;
+      let idx = -1;
+      while (!found && ++idx < searchersLen) {
+        const searcher = searchers[idx];
+        let token = searcher.isMultiMatch(queryItem);
+        if (token) {
+          results.push(new searcher(token, options3));
+          found = true;
+        }
+      }
+      if (found) {
+        continue;
+      }
+      idx = -1;
+      while (++idx < searchersLen) {
+        const searcher = searchers[idx];
+        let token = searcher.isSingleMatch(queryItem);
+        if (token) {
+          results.push(new searcher(token, options3));
+          break;
+        }
+      }
+    }
+    return results;
+  });
+}
+__name(parseQuery, "parseQuery");
+const MultiMatchSet = /* @__PURE__ */ new Set([FuzzyMatch.type, IncludeMatch.type]);
+class ExtendedSearch {
+  static {
+    __name(this, "ExtendedSearch");
+  }
+  constructor(pattern, {
+    isCaseSensitive = Config.isCaseSensitive,
+    includeMatches = Config.includeMatches,
+    minMatchCharLength = Config.minMatchCharLength,
+    ignoreLocation = Config.ignoreLocation,
+    findAllMatches = Config.findAllMatches,
+    location: location2 = Config.location,
+    threshold = Config.threshold,
+    distance: distance2 = Config.distance
+  } = {}) {
+    this.query = null;
+    this.options = {
+      isCaseSensitive,
+      includeMatches,
+      minMatchCharLength,
+      findAllMatches,
+      ignoreLocation,
+      location: location2,
+      threshold,
+      distance: distance2
+    };
+    this.pattern = isCaseSensitive ? pattern : pattern.toLowerCase();
+    this.query = parseQuery(this.pattern, this.options);
+  }
+  static condition(_2, options3) {
+    return options3.useExtendedSearch;
+  }
+  searchIn(text) {
+    const query = this.query;
+    if (!query) {
+      return {
+        isMatch: false,
+        score: 1
+      };
+    }
+    const { includeMatches, isCaseSensitive } = this.options;
+    text = isCaseSensitive ? text : text.toLowerCase();
+    let numMatches = 0;
+    let allIndices = [];
+    let totalScore = 0;
+    for (let i2 = 0, qLen = query.length; i2 < qLen; i2 += 1) {
+      const searchers2 = query[i2];
+      allIndices.length = 0;
+      numMatches = 0;
+      for (let j = 0, pLen = searchers2.length; j < pLen; j += 1) {
+        const searcher = searchers2[j];
+        const { isMatch, indices, score } = searcher.search(text);
+        if (isMatch) {
+          numMatches += 1;
+          totalScore += score;
+          if (includeMatches) {
+            const type = searcher.constructor.type;
+            if (MultiMatchSet.has(type)) {
+              allIndices = [...allIndices, ...indices];
+            } else {
+              allIndices.push(indices);
+            }
+          }
+        } else {
+          totalScore = 0;
+          numMatches = 0;
+          allIndices.length = 0;
+          break;
+        }
+      }
+      if (numMatches) {
+        let result = {
+          isMatch: true,
+          score: totalScore / numMatches
+        };
+        if (includeMatches) {
+          result.indices = allIndices;
+        }
+        return result;
+      }
+    }
+    return {
+      isMatch: false,
+      score: 1
+    };
+  }
+}
+const registeredSearchers = [];
+function register$1(...args) {
+  registeredSearchers.push(...args);
+}
+__name(register$1, "register$1");
+function createSearcher(pattern, options3) {
+  for (let i2 = 0, len = registeredSearchers.length; i2 < len; i2 += 1) {
+    let searcherClass = registeredSearchers[i2];
+    if (searcherClass.condition(pattern, options3)) {
+      return new searcherClass(pattern, options3);
+    }
+  }
+  return new BitapSearch(pattern, options3);
+}
+__name(createSearcher, "createSearcher");
+const LogicalOperator = {
+  AND: "$and",
+  OR: "$or"
+};
+const KeyType = {
+  PATH: "$path",
+  PATTERN: "$val"
+};
+const isExpression = /* @__PURE__ */ __name((query) => !!(query[LogicalOperator.AND] || query[LogicalOperator.OR]), "isExpression");
+const isPath = /* @__PURE__ */ __name((query) => !!query[KeyType.PATH], "isPath");
+const isLeaf = /* @__PURE__ */ __name((query) => !isArray(query) && isObject(query) && !isExpression(query), "isLeaf");
+const convertToExplicit = /* @__PURE__ */ __name((query) => ({
+  [LogicalOperator.AND]: Object.keys(query).map((key) => ({
+    [key]: query[key]
+  }))
+}), "convertToExplicit");
+function parse(query, options3, { auto = true } = {}) {
+  const next2 = /* @__PURE__ */ __name((query2) => {
+    let keys2 = Object.keys(query2);
+    const isQueryPath = isPath(query2);
+    if (!isQueryPath && keys2.length > 1 && !isExpression(query2)) {
+      return next2(convertToExplicit(query2));
+    }
+    if (isLeaf(query2)) {
+      const key = isQueryPath ? query2[KeyType.PATH] : keys2[0];
+      const pattern = isQueryPath ? query2[KeyType.PATTERN] : query2[key];
+      if (!isString(pattern)) {
+        throw new Error(LOGICAL_SEARCH_INVALID_QUERY_FOR_KEY(key));
+      }
+      const obj = {
+        keyId: createKeyId(key),
+        pattern
+      };
+      if (auto) {
+        obj.searcher = createSearcher(pattern, options3);
+      }
+      return obj;
+    }
+    let node3 = {
+      children: [],
+      operator: keys2[0]
+    };
+    keys2.forEach((key) => {
+      const value3 = query2[key];
+      if (isArray(value3)) {
+        value3.forEach((item2) => {
+          node3.children.push(next2(item2));
+        });
+      }
+    });
+    return node3;
+  }, "next");
+  if (!isExpression(query)) {
+    query = convertToExplicit(query);
+  }
+  return next2(query);
+}
+__name(parse, "parse");
+function computeScore(results, { ignoreFieldNorm = Config.ignoreFieldNorm }) {
+  results.forEach((result) => {
+    let totalScore = 1;
+    result.matches.forEach(({ key, norm: norm2, score }) => {
+      const weight = key ? key.weight : null;
+      totalScore *= Math.pow(
+        score === 0 && weight ? Number.EPSILON : score,
+        (weight || 1) * (ignoreFieldNorm ? 1 : norm2)
+      );
+    });
+    result.score = totalScore;
+  });
+}
+__name(computeScore, "computeScore");
+function transformMatches(result, data24) {
+  const matches2 = result.matches;
+  data24.matches = [];
+  if (!isDefined(matches2)) {
+    return;
+  }
+  matches2.forEach((match) => {
+    if (!isDefined(match.indices) || !match.indices.length) {
+      return;
+    }
+    const { indices, value: value3 } = match;
+    let obj = {
+      indices,
+      value: value3
+    };
+    if (match.key) {
+      obj.key = match.key.src;
+    }
+    if (match.idx > -1) {
+      obj.refIndex = match.idx;
+    }
+    data24.matches.push(obj);
+  });
+}
+__name(transformMatches, "transformMatches");
+function transformScore(result, data24) {
+  data24.score = result.score;
+}
+__name(transformScore, "transformScore");
+function format(results, docs, {
+  includeMatches = Config.includeMatches,
+  includeScore = Config.includeScore
+} = {}) {
+  const transformers = [];
+  if (includeMatches) transformers.push(transformMatches);
+  if (includeScore) transformers.push(transformScore);
+  return results.map((result) => {
+    const { idx } = result;
+    const data24 = {
+      item: docs[idx],
+      refIndex: idx
+    };
+    if (transformers.length) {
+      transformers.forEach((transformer) => {
+        transformer(result, data24);
+      });
+    }
+    return data24;
+  });
+}
+__name(format, "format");
+class Fuse {
+  static {
+    __name(this, "Fuse");
+  }
+  constructor(docs, options3 = {}, index2) {
+    this.options = { ...Config, ...options3 };
+    if (this.options.useExtendedSearch && false) {
+      throw new Error(EXTENDED_SEARCH_UNAVAILABLE);
+    }
+    this._keyStore = new KeyStore(this.options.keys);
+    this.setCollection(docs, index2);
+  }
+  setCollection(docs, index2) {
+    this._docs = docs;
+    if (index2 && !(index2 instanceof FuseIndex)) {
+      throw new Error(INCORRECT_INDEX_TYPE);
+    }
+    this._myIndex = index2 || createIndex(this.options.keys, this._docs, {
+      getFn: this.options.getFn,
+      fieldNormWeight: this.options.fieldNormWeight
+    });
+  }
+  add(doc2) {
+    if (!isDefined(doc2)) {
+      return;
+    }
+    this._docs.push(doc2);
+    this._myIndex.add(doc2);
+  }
+  remove(predicate = () => false) {
+    const results = [];
+    for (let i2 = 0, len = this._docs.length; i2 < len; i2 += 1) {
+      const doc2 = this._docs[i2];
+      if (predicate(doc2, i2)) {
+        this.removeAt(i2);
+        i2 -= 1;
+        len -= 1;
+        results.push(doc2);
+      }
+    }
+    return results;
+  }
+  removeAt(idx) {
+    this._docs.splice(idx, 1);
+    this._myIndex.removeAt(idx);
+  }
+  getIndex() {
+    return this._myIndex;
+  }
+  search(query, { limit = -1 } = {}) {
+    const {
+      includeMatches,
+      includeScore,
+      shouldSort,
+      sortFn,
+      ignoreFieldNorm
+    } = this.options;
+    let results = isString(query) ? isString(this._docs[0]) ? this._searchStringList(query) : this._searchObjectList(query) : this._searchLogical(query);
+    computeScore(results, { ignoreFieldNorm });
+    if (shouldSort) {
+      results.sort(sortFn);
+    }
+    if (isNumber(limit) && limit > -1) {
+      results = results.slice(0, limit);
+    }
+    return format(results, this._docs, {
+      includeMatches,
+      includeScore
+    });
+  }
+  _searchStringList(query) {
+    const searcher = createSearcher(query, this.options);
+    const { records } = this._myIndex;
+    const results = [];
+    records.forEach(({ v: text, i: idx, n: norm2 }) => {
+      if (!isDefined(text)) {
+        return;
+      }
+      const { isMatch, score, indices } = searcher.searchIn(text);
+      if (isMatch) {
+        results.push({
+          item: text,
+          idx,
+          matches: [{ score, value: text, norm: norm2, indices }]
+        });
+      }
+    });
+    return results;
+  }
+  _searchLogical(query) {
+    const expression = parse(query, this.options);
+    const evaluate = /* @__PURE__ */ __name((node3, item2, idx) => {
+      if (!node3.children) {
+        const { keyId, searcher } = node3;
+        const matches2 = this._findMatches({
+          key: this._keyStore.get(keyId),
+          value: this._myIndex.getValueForItemAtKeyId(item2, keyId),
+          searcher
+        });
+        if (matches2 && matches2.length) {
+          return [
+            {
+              idx,
+              item: item2,
+              matches: matches2
+            }
+          ];
+        }
+        return [];
+      }
+      const res = [];
+      for (let i2 = 0, len = node3.children.length; i2 < len; i2 += 1) {
+        const child = node3.children[i2];
+        const result = evaluate(child, item2, idx);
+        if (result.length) {
+          res.push(...result);
+        } else if (node3.operator === LogicalOperator.AND) {
+          return [];
+        }
+      }
+      return res;
+    }, "evaluate");
+    const records = this._myIndex.records;
+    const resultMap = {};
+    const results = [];
+    records.forEach(({ $: item2, i: idx }) => {
+      if (isDefined(item2)) {
+        let expResults = evaluate(expression, item2, idx);
+        if (expResults.length) {
+          if (!resultMap[idx]) {
+            resultMap[idx] = { idx, item: item2, matches: [] };
+            results.push(resultMap[idx]);
+          }
+          expResults.forEach(({ matches: matches2 }) => {
+            resultMap[idx].matches.push(...matches2);
+          });
+        }
+      }
+    });
+    return results;
+  }
+  _searchObjectList(query) {
+    const searcher = createSearcher(query, this.options);
+    const { keys: keys2, records } = this._myIndex;
+    const results = [];
+    records.forEach(({ $: item2, i: idx }) => {
+      if (!isDefined(item2)) {
+        return;
+      }
+      let matches2 = [];
+      keys2.forEach((key, keyIndex) => {
+        matches2.push(
+          ...this._findMatches({
+            key,
+            value: item2[keyIndex],
+            searcher
+          })
+        );
+      });
+      if (matches2.length) {
+        results.push({
+          idx,
+          item: item2,
+          matches: matches2
+        });
+      }
+    });
+    return results;
+  }
+  _findMatches({ key, value: value3, searcher }) {
+    if (!isDefined(value3)) {
+      return [];
+    }
+    let matches2 = [];
+    if (isArray(value3)) {
+      value3.forEach(({ v: text, i: idx, n: norm2 }) => {
+        if (!isDefined(text)) {
+          return;
+        }
+        const { isMatch, score, indices } = searcher.searchIn(text);
+        if (isMatch) {
+          matches2.push({
+            score,
+            key,
+            value: text,
+            idx,
+            norm: norm2,
+            indices
+          });
+        }
+      });
+    } else {
+      const { v: text, n: norm2 } = value3;
+      const { isMatch, score, indices } = searcher.searchIn(text);
+      if (isMatch) {
+        matches2.push({ score, key, value: text, norm: norm2, indices });
+      }
+    }
+    return matches2;
+  }
+}
+Fuse.version = "7.0.0";
+Fuse.createIndex = createIndex;
+Fuse.parseIndex = parseIndex;
+Fuse.config = Config;
+{
+  Fuse.parseQuery = parse;
+}
+{
+  register$1(ExtendedSearch);
+}
+class FuseSearch {
+  static {
+    __name(this, "FuseSearch");
+  }
+  fuse;
+  keys;
+  data;
+  advancedScoring;
+  constructor(data24, options3, createIndex2 = true, advancedScoring = false) {
+    this.data = data24;
+    this.keys = options3.keys ?? [];
+    this.advancedScoring = advancedScoring;
+    const index2 = createIndex2 && options3?.keys ? Fuse.createIndex(options3.keys, data24) : void 0;
+    this.fuse = new Fuse(data24, options3, index2);
+  }
+  search(query, options3) {
+    if (!query || query === "") {
+      return [...this.data];
+    }
+    const fuseResult = this.fuse.search(query, options3);
+    if (!this.advancedScoring) {
+      return fuseResult.map((x2) => x2.item);
+    }
+    const aux = fuseResult.map((x2) => ({
+      item: x2.item,
+      scores: this.calcAuxScores(query.toLocaleLowerCase(), x2.item, x2.score)
+    })).sort((a, b) => this.compareAux(a.scores, b.scores));
+    return aux.map((x2) => x2.item);
+  }
+  calcAuxScores(query, entry, score) {
+    let values2 = [];
+    if (!this.keys.length) values2 = [entry];
+    else values2 = this.keys.map((x2) => entry[x2]);
+    const scores = values2.map((x2) => this.calcAuxSingle(query, x2, score));
+    const result = scores.sort(this.compareAux)[0];
+    const deprecated = values2.some(
+      (x2) => x2.toLocaleLowerCase().includes("deprecated")
+    );
+    result[0] += deprecated && result[0] != 0 ? 5 : 0;
+    return result;
+  }
+  calcAuxSingle(query, item2, score) {
+    const itemWords = item2.split(/ |\b|(?<=[a-z])(?=[A-Z])|(?=[A-Z][a-z])/).map((x2) => x2.toLocaleLowerCase());
+    const queryParts = query.split(" ");
+    item2 = item2.toLocaleLowerCase();
+    let main = 9;
+    let aux1 = 0;
+    let aux2 = 0;
+    if (item2 == query) {
+      main = 0;
+    } else if (item2.startsWith(query)) {
+      main = 1;
+      aux2 = item2.length;
+    } else if (itemWords.includes(query)) {
+      main = 2;
+      aux1 = item2.indexOf(query) + item2.length * 0.5;
+      aux2 = item2.length;
+    } else if (item2.includes(query)) {
+      main = 3;
+      aux1 = item2.indexOf(query) + item2.length * 0.5;
+      aux2 = item2.length;
+    } else if (queryParts.every((x2) => itemWords.includes(x2))) {
+      const indexes = queryParts.map((x2) => itemWords.indexOf(x2));
+      const min = Math.min(...indexes);
+      const max = Math.max(...indexes);
+      main = 4;
+      aux1 = max - min + max * 0.5 + item2.length * 0.5;
+      aux2 = item2.length;
+    } else if (queryParts.every((x2) => item2.includes(x2))) {
+      const min = Math.min(...queryParts.map((x2) => item2.indexOf(x2)));
+      const max = Math.max(...queryParts.map((x2) => item2.indexOf(x2) + x2.length));
+      main = 5;
+      aux1 = max - min + max * 0.5 + item2.length * 0.5;
+      aux2 = item2.length;
+    }
+    const lengthPenalty = 0.2 * (1 - Math.min(item2.length, query.length) / Math.max(item2.length, query.length));
+    return [main, aux1, aux2, score + lengthPenalty];
+  }
+  compareAux(a, b) {
+    return a[0] - b[0] || a[1] - b[1] || a[2] - b[2] || a[3] - b[3];
+  }
+}
+class NodeFilter {
+  static {
+    __name(this, "NodeFilter");
+  }
+  fuseSearch;
+  constructor(nodeDefs, options3) {
+    this.fuseSearch = new FuseSearch(this.getAllNodeOptions(nodeDefs), options3);
+  }
+  getAllNodeOptions(nodeDefs) {
+    return [
+      ...new Set(
+        nodeDefs.reduce((acc, nodeDef) => {
+          return [...acc, ...this.getNodeOptions(nodeDef)];
+        }, [])
+      )
+    ];
+  }
+  matches(node3, value3, extraOptions) {
+    const matchWildcards = extraOptions?.matchWildcards !== false;
+    if (matchWildcards && value3 === "*") {
+      return true;
+    }
+    const options3 = this.getNodeOptions(node3);
+    return options3.includes(value3) || matchWildcards && _.some(options3, (option4) => option4 === "*");
+  }
+}
+class InputTypeFilter extends NodeFilter {
+  static {
+    __name(this, "InputTypeFilter");
+  }
+  id = "input";
+  name = "Input Type";
+  invokeSequence = "i";
+  longInvokeSequence = "input";
+  getNodeOptions(node3) {
+    return node3.input.all.map((input) => input.type);
+  }
+}
+class OutputTypeFilter extends NodeFilter {
+  static {
+    __name(this, "OutputTypeFilter");
+  }
+  id = "output";
+  name = "Output Type";
+  invokeSequence = "o";
+  longInvokeSequence = "output";
+  getNodeOptions(node3) {
+    return node3.output.all.map((output) => output.type);
+  }
+}
+class NodeSourceFilter extends NodeFilter {
+  static {
+    __name(this, "NodeSourceFilter");
+  }
+  id = "source";
+  name = "Source";
+  invokeSequence = "s";
+  longInvokeSequence = "source";
+  getNodeOptions(node3) {
+    return [getNodeSource(node3.python_module).displayText];
+  }
+}
+class NodeCategoryFilter extends NodeFilter {
+  static {
+    __name(this, "NodeCategoryFilter");
+  }
+  id = "category";
+  name = "Category";
+  invokeSequence = "c";
+  longInvokeSequence = "category";
+  getNodeOptions(node3) {
+    return [node3.category];
+  }
+}
+class NodeSearchService {
+  static {
+    __name(this, "NodeSearchService");
+  }
+  nodeFuseSearch;
+  nodeFilters;
+  constructor(data24) {
+    this.nodeFuseSearch = new FuseSearch(
+      data24,
+      {
+        keys: ["name", "display_name"],
+        includeScore: true,
+        threshold: 0.3,
+        shouldSort: false,
+        useExtendedSearch: true
+      },
+      true,
+      true
+    );
+    const filterSearchOptions = {
+      includeScore: true,
+      threshold: 0.3,
+      shouldSort: true
+    };
+    this.nodeFilters = [
+      new InputTypeFilter(data24, filterSearchOptions),
+      new OutputTypeFilter(data24, filterSearchOptions),
+      new NodeCategoryFilter(data24, filterSearchOptions)
+    ];
+    if (data24[0].python_module !== void 0) {
+      this.nodeFilters.push(new NodeSourceFilter(data24, filterSearchOptions));
+    }
+  }
+  endsWithFilterStartSequence(query) {
+    return query.endsWith(":");
+  }
+  searchNode(query, filters = [], options3, extraOptions) {
+    const matchedNodes = this.nodeFuseSearch.search(query);
+    const results = matchedNodes.filter((node3) => {
+      return _.every(filters, (filterAndValue) => {
+        const [filter4, value3] = filterAndValue;
+        return filter4.matches(node3, value3, extraOptions);
+      });
+    });
+    return options3?.limit ? results.slice(0, options3.limit) : results;
+  }
+  getFilterById(id2) {
+    return this.nodeFilters.find((filter4) => filter4.id === id2);
+  }
+}
+var TransformationType;
+(function(TransformationType2) {
+  TransformationType2[TransformationType2["PLAIN_TO_CLASS"] = 0] = "PLAIN_TO_CLASS";
+  TransformationType2[TransformationType2["CLASS_TO_PLAIN"] = 1] = "CLASS_TO_PLAIN";
+  TransformationType2[TransformationType2["CLASS_TO_CLASS"] = 2] = "CLASS_TO_CLASS";
+})(TransformationType || (TransformationType = {}));
+var MetadataStorage = (
+  /** @class */
+  function() {
+    function MetadataStorage2() {
+      this._typeMetadatas = /* @__PURE__ */ new Map();
+      this._transformMetadatas = /* @__PURE__ */ new Map();
+      this._exposeMetadatas = /* @__PURE__ */ new Map();
+      this._excludeMetadatas = /* @__PURE__ */ new Map();
+      this._ancestorsMap = /* @__PURE__ */ new Map();
+    }
+    __name(MetadataStorage2, "MetadataStorage");
+    MetadataStorage2.prototype.addTypeMetadata = function(metadata) {
+      if (!this._typeMetadatas.has(metadata.target)) {
+        this._typeMetadatas.set(metadata.target, /* @__PURE__ */ new Map());
+      }
+      this._typeMetadatas.get(metadata.target).set(metadata.propertyName, metadata);
+    };
+    MetadataStorage2.prototype.addTransformMetadata = function(metadata) {
+      if (!this._transformMetadatas.has(metadata.target)) {
+        this._transformMetadatas.set(metadata.target, /* @__PURE__ */ new Map());
+      }
+      if (!this._transformMetadatas.get(metadata.target).has(metadata.propertyName)) {
+        this._transformMetadatas.get(metadata.target).set(metadata.propertyName, []);
+      }
+      this._transformMetadatas.get(metadata.target).get(metadata.propertyName).push(metadata);
+    };
+    MetadataStorage2.prototype.addExposeMetadata = function(metadata) {
+      if (!this._exposeMetadatas.has(metadata.target)) {
+        this._exposeMetadatas.set(metadata.target, /* @__PURE__ */ new Map());
+      }
+      this._exposeMetadatas.get(metadata.target).set(metadata.propertyName, metadata);
+    };
+    MetadataStorage2.prototype.addExcludeMetadata = function(metadata) {
+      if (!this._excludeMetadatas.has(metadata.target)) {
+        this._excludeMetadatas.set(metadata.target, /* @__PURE__ */ new Map());
+      }
+      this._excludeMetadatas.get(metadata.target).set(metadata.propertyName, metadata);
+    };
+    MetadataStorage2.prototype.findTransformMetadatas = function(target, propertyName, transformationType) {
+      return this.findMetadatas(this._transformMetadatas, target, propertyName).filter(function(metadata) {
+        if (!metadata.options)
+          return true;
+        if (metadata.options.toClassOnly === true && metadata.options.toPlainOnly === true)
+          return true;
+        if (metadata.options.toClassOnly === true) {
+          return transformationType === TransformationType.CLASS_TO_CLASS || transformationType === TransformationType.PLAIN_TO_CLASS;
+        }
+        if (metadata.options.toPlainOnly === true) {
+          return transformationType === TransformationType.CLASS_TO_PLAIN;
+        }
+        return true;
+      });
+    };
+    MetadataStorage2.prototype.findExcludeMetadata = function(target, propertyName) {
+      return this.findMetadata(this._excludeMetadatas, target, propertyName);
+    };
+    MetadataStorage2.prototype.findExposeMetadata = function(target, propertyName) {
+      return this.findMetadata(this._exposeMetadatas, target, propertyName);
+    };
+    MetadataStorage2.prototype.findExposeMetadataByCustomName = function(target, name) {
+      return this.getExposedMetadatas(target).find(function(metadata) {
+        return metadata.options && metadata.options.name === name;
+      });
+    };
+    MetadataStorage2.prototype.findTypeMetadata = function(target, propertyName) {
+      return this.findMetadata(this._typeMetadatas, target, propertyName);
+    };
+    MetadataStorage2.prototype.getStrategy = function(target) {
+      var excludeMap = this._excludeMetadatas.get(target);
+      var exclude = excludeMap && excludeMap.get(void 0);
+      var exposeMap = this._exposeMetadatas.get(target);
+      var expose = exposeMap && exposeMap.get(void 0);
+      if (exclude && expose || !exclude && !expose)
+        return "none";
+      return exclude ? "excludeAll" : "exposeAll";
+    };
+    MetadataStorage2.prototype.getExposedMetadatas = function(target) {
+      return this.getMetadata(this._exposeMetadatas, target);
+    };
+    MetadataStorage2.prototype.getExcludedMetadatas = function(target) {
+      return this.getMetadata(this._excludeMetadatas, target);
+    };
+    MetadataStorage2.prototype.getExposedProperties = function(target, transformationType) {
+      return this.getExposedMetadatas(target).filter(function(metadata) {
+        if (!metadata.options)
+          return true;
+        if (metadata.options.toClassOnly === true && metadata.options.toPlainOnly === true)
+          return true;
+        if (metadata.options.toClassOnly === true) {
+          return transformationType === TransformationType.CLASS_TO_CLASS || transformationType === TransformationType.PLAIN_TO_CLASS;
+        }
+        if (metadata.options.toPlainOnly === true) {
+          return transformationType === TransformationType.CLASS_TO_PLAIN;
+        }
+        return true;
+      }).map(function(metadata) {
+        return metadata.propertyName;
+      });
+    };
+    MetadataStorage2.prototype.getExcludedProperties = function(target, transformationType) {
+      return this.getExcludedMetadatas(target).filter(function(metadata) {
+        if (!metadata.options)
+          return true;
+        if (metadata.options.toClassOnly === true && metadata.options.toPlainOnly === true)
+          return true;
+        if (metadata.options.toClassOnly === true) {
+          return transformationType === TransformationType.CLASS_TO_CLASS || transformationType === TransformationType.PLAIN_TO_CLASS;
+        }
+        if (metadata.options.toPlainOnly === true) {
+          return transformationType === TransformationType.CLASS_TO_PLAIN;
+        }
+        return true;
+      }).map(function(metadata) {
+        return metadata.propertyName;
+      });
+    };
+    MetadataStorage2.prototype.clear = function() {
+      this._typeMetadatas.clear();
+      this._exposeMetadatas.clear();
+      this._excludeMetadatas.clear();
+      this._ancestorsMap.clear();
+    };
+    MetadataStorage2.prototype.getMetadata = function(metadatas, target) {
+      var metadataFromTargetMap = metadatas.get(target);
+      var metadataFromTarget;
+      if (metadataFromTargetMap) {
+        metadataFromTarget = Array.from(metadataFromTargetMap.values()).filter(function(meta) {
+          return meta.propertyName !== void 0;
+        });
+      }
+      var metadataFromAncestors = [];
+      for (var _i = 0, _a = this.getAncestors(target); _i < _a.length; _i++) {
+        var ancestor = _a[_i];
+        var ancestorMetadataMap = metadatas.get(ancestor);
+        if (ancestorMetadataMap) {
+          var metadataFromAncestor = Array.from(ancestorMetadataMap.values()).filter(function(meta) {
+            return meta.propertyName !== void 0;
+          });
+          metadataFromAncestors.push.apply(metadataFromAncestors, metadataFromAncestor);
+        }
+      }
+      return metadataFromAncestors.concat(metadataFromTarget || []);
+    };
+    MetadataStorage2.prototype.findMetadata = function(metadatas, target, propertyName) {
+      var metadataFromTargetMap = metadatas.get(target);
+      if (metadataFromTargetMap) {
+        var metadataFromTarget = metadataFromTargetMap.get(propertyName);
+        if (metadataFromTarget) {
+          return metadataFromTarget;
+        }
+      }
+      for (var _i = 0, _a = this.getAncestors(target); _i < _a.length; _i++) {
+        var ancestor = _a[_i];
+        var ancestorMetadataMap = metadatas.get(ancestor);
+        if (ancestorMetadataMap) {
+          var ancestorResult = ancestorMetadataMap.get(propertyName);
+          if (ancestorResult) {
+            return ancestorResult;
+          }
+        }
+      }
+      return void 0;
+    };
+    MetadataStorage2.prototype.findMetadatas = function(metadatas, target, propertyName) {
+      var metadataFromTargetMap = metadatas.get(target);
+      var metadataFromTarget;
+      if (metadataFromTargetMap) {
+        metadataFromTarget = metadataFromTargetMap.get(propertyName);
+      }
+      var metadataFromAncestorsTarget = [];
+      for (var _i = 0, _a = this.getAncestors(target); _i < _a.length; _i++) {
+        var ancestor = _a[_i];
+        var ancestorMetadataMap = metadatas.get(ancestor);
+        if (ancestorMetadataMap) {
+          if (ancestorMetadataMap.has(propertyName)) {
+            metadataFromAncestorsTarget.push.apply(metadataFromAncestorsTarget, ancestorMetadataMap.get(propertyName));
+          }
+        }
+      }
+      return metadataFromAncestorsTarget.slice().reverse().concat((metadataFromTarget || []).slice().reverse());
+    };
+    MetadataStorage2.prototype.getAncestors = function(target) {
+      if (!target)
+        return [];
+      if (!this._ancestorsMap.has(target)) {
+        var ancestors = [];
+        for (var baseClass = Object.getPrototypeOf(target.prototype.constructor); typeof baseClass.prototype !== "undefined"; baseClass = Object.getPrototypeOf(baseClass.prototype.constructor)) {
+          ancestors.push(baseClass);
+        }
+        this._ancestorsMap.set(target, ancestors);
+      }
+      return this._ancestorsMap.get(target);
+    };
+    return MetadataStorage2;
+  }()
+);
+var defaultMetadataStorage = new MetadataStorage();
+function getGlobal() {
+  if (typeof globalThis !== "undefined") {
+    return globalThis;
+  }
+  if (typeof global !== "undefined") {
+    return global;
+  }
+  if (typeof window !== "undefined") {
+    return window;
+  }
+  if (typeof self !== "undefined") {
+    return self;
+  }
+}
+__name(getGlobal, "getGlobal");
+function isPromise(p2) {
+  return p2 !== null && typeof p2 === "object" && typeof p2.then === "function";
+}
+__name(isPromise, "isPromise");
+var __spreadArray = function(to, from, pack) {
+  if (pack || arguments.length === 2) for (var i2 = 0, l = from.length, ar; i2 < l; i2++) {
+    if (ar || !(i2 in from)) {
+      if (!ar) ar = Array.prototype.slice.call(from, 0, i2);
+      ar[i2] = from[i2];
+    }
+  }
+  return to.concat(ar || Array.prototype.slice.call(from));
+};
+function instantiateArrayType(arrayType2) {
+  var array = new arrayType2();
+  if (!(array instanceof Set) && !("push" in array)) {
+    return [];
+  }
+  return array;
+}
+__name(instantiateArrayType, "instantiateArrayType");
+var TransformOperationExecutor = (
+  /** @class */
+  function() {
+    function TransformOperationExecutor2(transformationType, options3) {
+      this.transformationType = transformationType;
+      this.options = options3;
+      this.recursionStack = /* @__PURE__ */ new Set();
+    }
+    __name(TransformOperationExecutor2, "TransformOperationExecutor");
+    TransformOperationExecutor2.prototype.transform = function(source, value3, targetType, arrayType2, isMap2, level) {
+      var _this = this;
+      if (level === void 0) {
+        level = 0;
+      }
+      if (Array.isArray(value3) || value3 instanceof Set) {
+        var newValue_1 = arrayType2 && this.transformationType === TransformationType.PLAIN_TO_CLASS ? instantiateArrayType(arrayType2) : [];
+        value3.forEach(function(subValue, index2) {
+          var subSource = source ? source[index2] : void 0;
+          if (!_this.options.enableCircularCheck || !_this.isCircular(subValue)) {
+            var realTargetType = void 0;
+            if (typeof targetType !== "function" && targetType && targetType.options && targetType.options.discriminator && targetType.options.discriminator.property && targetType.options.discriminator.subTypes) {
+              if (_this.transformationType === TransformationType.PLAIN_TO_CLASS) {
+                realTargetType = targetType.options.discriminator.subTypes.find(function(subType) {
+                  return subType.name === subValue[targetType.options.discriminator.property];
+                });
+                var options3 = { newObject: newValue_1, object: subValue, property: void 0 };
+                var newType = targetType.typeFunction(options3);
+                realTargetType === void 0 ? realTargetType = newType : realTargetType = realTargetType.value;
+                if (!targetType.options.keepDiscriminatorProperty)
+                  delete subValue[targetType.options.discriminator.property];
+              }
+              if (_this.transformationType === TransformationType.CLASS_TO_CLASS) {
+                realTargetType = subValue.constructor;
+              }
+              if (_this.transformationType === TransformationType.CLASS_TO_PLAIN) {
+                subValue[targetType.options.discriminator.property] = targetType.options.discriminator.subTypes.find(function(subType) {
+                  return subType.value === subValue.constructor;
+                }).name;
+              }
+            } else {
+              realTargetType = targetType;
+            }
+            var value_1 = _this.transform(subSource, subValue, realTargetType, void 0, subValue instanceof Map, level + 1);
+            if (newValue_1 instanceof Set) {
+              newValue_1.add(value_1);
+            } else {
+              newValue_1.push(value_1);
+            }
+          } else if (_this.transformationType === TransformationType.CLASS_TO_CLASS) {
+            if (newValue_1 instanceof Set) {
+              newValue_1.add(subValue);
+            } else {
+              newValue_1.push(subValue);
+            }
+          }
+        });
+        return newValue_1;
+      } else if (targetType === String && !isMap2) {
+        if (value3 === null || value3 === void 0)
+          return value3;
+        return String(value3);
+      } else if (targetType === Number && !isMap2) {
+        if (value3 === null || value3 === void 0)
+          return value3;
+        return Number(value3);
+      } else if (targetType === Boolean && !isMap2) {
+        if (value3 === null || value3 === void 0)
+          return value3;
+        return Boolean(value3);
+      } else if ((targetType === Date || value3 instanceof Date) && !isMap2) {
+        if (value3 instanceof Date) {
+          return new Date(value3.valueOf());
+        }
+        if (value3 === null || value3 === void 0)
+          return value3;
+        return new Date(value3);
+      } else if (!!getGlobal().Buffer && (targetType === Buffer || value3 instanceof Buffer) && !isMap2) {
+        if (value3 === null || value3 === void 0)
+          return value3;
+        return Buffer.from(value3);
+      } else if (isPromise(value3) && !isMap2) {
+        return new Promise(function(resolve8, reject2) {
+          value3.then(function(data24) {
+            return resolve8(_this.transform(void 0, data24, targetType, void 0, void 0, level + 1));
+          }, reject2);
+        });
+      } else if (!isMap2 && value3 !== null && typeof value3 === "object" && typeof value3.then === "function") {
+        return value3;
+      } else if (typeof value3 === "object" && value3 !== null) {
+        if (!targetType && value3.constructor !== Object)
+          if (!Array.isArray(value3) && value3.constructor === Array) {
+          } else {
+            targetType = value3.constructor;
+          }
+        if (!targetType && source)
+          targetType = source.constructor;
+        if (this.options.enableCircularCheck) {
+          this.recursionStack.add(value3);
+        }
+        var keys2 = this.getKeys(targetType, value3, isMap2);
+        var newValue = source ? source : {};
+        if (!source && (this.transformationType === TransformationType.PLAIN_TO_CLASS || this.transformationType === TransformationType.CLASS_TO_CLASS)) {
+          if (isMap2) {
+            newValue = /* @__PURE__ */ new Map();
+          } else if (targetType) {
+            newValue = new targetType();
+          } else {
+            newValue = {};
+          }
+        }
+        var _loop_1 = /* @__PURE__ */ __name(function(key2) {
+          if (key2 === "__proto__" || key2 === "constructor") {
+            return "continue";
+          }
+          var valueKey = key2;
+          var newValueKey = key2, propertyName = key2;
+          if (!this_1.options.ignoreDecorators && targetType) {
+            if (this_1.transformationType === TransformationType.PLAIN_TO_CLASS) {
+              var exposeMetadata = defaultMetadataStorage.findExposeMetadataByCustomName(targetType, key2);
+              if (exposeMetadata) {
+                propertyName = exposeMetadata.propertyName;
+                newValueKey = exposeMetadata.propertyName;
+              }
+            } else if (this_1.transformationType === TransformationType.CLASS_TO_PLAIN || this_1.transformationType === TransformationType.CLASS_TO_CLASS) {
+              var exposeMetadata = defaultMetadataStorage.findExposeMetadata(targetType, key2);
+              if (exposeMetadata && exposeMetadata.options && exposeMetadata.options.name) {
+                newValueKey = exposeMetadata.options.name;
+              }
+            }
+          }
+          var subValue = void 0;
+          if (this_1.transformationType === TransformationType.PLAIN_TO_CLASS) {
+            subValue = value3[valueKey];
+          } else {
+            if (value3 instanceof Map) {
+              subValue = value3.get(valueKey);
+            } else if (value3[valueKey] instanceof Function) {
+              subValue = value3[valueKey]();
+            } else {
+              subValue = value3[valueKey];
+            }
+          }
+          var type = void 0, isSubValueMap = subValue instanceof Map;
+          if (targetType && isMap2) {
+            type = targetType;
+          } else if (targetType) {
+            var metadata_1 = defaultMetadataStorage.findTypeMetadata(targetType, propertyName);
+            if (metadata_1) {
+              var options3 = { newObject: newValue, object: value3, property: propertyName };
+              var newType = metadata_1.typeFunction ? metadata_1.typeFunction(options3) : metadata_1.reflectedType;
+              if (metadata_1.options && metadata_1.options.discriminator && metadata_1.options.discriminator.property && metadata_1.options.discriminator.subTypes) {
+                if (!(value3[valueKey] instanceof Array)) {
+                  if (this_1.transformationType === TransformationType.PLAIN_TO_CLASS) {
+                    type = metadata_1.options.discriminator.subTypes.find(function(subType) {
+                      if (subValue && subValue instanceof Object && metadata_1.options.discriminator.property in subValue) {
+                        return subType.name === subValue[metadata_1.options.discriminator.property];
+                      }
+                    });
+                    type === void 0 ? type = newType : type = type.value;
+                    if (!metadata_1.options.keepDiscriminatorProperty) {
+                      if (subValue && subValue instanceof Object && metadata_1.options.discriminator.property in subValue) {
+                        delete subValue[metadata_1.options.discriminator.property];
+                      }
+                    }
+                  }
+                  if (this_1.transformationType === TransformationType.CLASS_TO_CLASS) {
+                    type = subValue.constructor;
+                  }
+                  if (this_1.transformationType === TransformationType.CLASS_TO_PLAIN) {
+                    if (subValue) {
+                      subValue[metadata_1.options.discriminator.property] = metadata_1.options.discriminator.subTypes.find(function(subType) {
+                        return subType.value === subValue.constructor;
+                      }).name;
+                    }
+                  }
+                } else {
+                  type = metadata_1;
+                }
+              } else {
+                type = newType;
+              }
+              isSubValueMap = isSubValueMap || metadata_1.reflectedType === Map;
+            } else if (this_1.options.targetMaps) {
+              this_1.options.targetMaps.filter(function(map2) {
+                return map2.target === targetType && !!map2.properties[propertyName];
+              }).forEach(function(map2) {
+                return type = map2.properties[propertyName];
+              });
+            } else if (this_1.options.enableImplicitConversion && this_1.transformationType === TransformationType.PLAIN_TO_CLASS) {
+              var reflectedType = Reflect.getMetadata("design:type", targetType.prototype, propertyName);
+              if (reflectedType) {
+                type = reflectedType;
+              }
+            }
+          }
+          var arrayType_1 = Array.isArray(value3[valueKey]) ? this_1.getReflectedType(targetType, propertyName) : void 0;
+          var subSource = source ? source[valueKey] : void 0;
+          if (newValue.constructor.prototype) {
+            var descriptor = Object.getOwnPropertyDescriptor(newValue.constructor.prototype, newValueKey);
+            if ((this_1.transformationType === TransformationType.PLAIN_TO_CLASS || this_1.transformationType === TransformationType.CLASS_TO_CLASS) && // eslint-disable-next-line @typescript-eslint/unbound-method
+            (descriptor && !descriptor.set || newValue[newValueKey] instanceof Function))
+              return "continue";
+          }
+          if (!this_1.options.enableCircularCheck || !this_1.isCircular(subValue)) {
+            var transformKey = this_1.transformationType === TransformationType.PLAIN_TO_CLASS ? newValueKey : key2;
+            var finalValue = void 0;
+            if (this_1.transformationType === TransformationType.CLASS_TO_PLAIN) {
+              finalValue = value3[transformKey];
+              finalValue = this_1.applyCustomTransformations(finalValue, targetType, transformKey, value3, this_1.transformationType);
+              finalValue = value3[transformKey] === finalValue ? subValue : finalValue;
+              finalValue = this_1.transform(subSource, finalValue, type, arrayType_1, isSubValueMap, level + 1);
+            } else {
+              if (subValue === void 0 && this_1.options.exposeDefaultValues) {
+                finalValue = newValue[newValueKey];
+              } else {
+                finalValue = this_1.transform(subSource, subValue, type, arrayType_1, isSubValueMap, level + 1);
+                finalValue = this_1.applyCustomTransformations(finalValue, targetType, transformKey, value3, this_1.transformationType);
+              }
+            }
+            if (finalValue !== void 0 || this_1.options.exposeUnsetFields) {
+              if (newValue instanceof Map) {
+                newValue.set(newValueKey, finalValue);
+              } else {
+                newValue[newValueKey] = finalValue;
+              }
+            }
+          } else if (this_1.transformationType === TransformationType.CLASS_TO_CLASS) {
+            var finalValue = subValue;
+            finalValue = this_1.applyCustomTransformations(finalValue, targetType, key2, value3, this_1.transformationType);
+            if (finalValue !== void 0 || this_1.options.exposeUnsetFields) {
+              if (newValue instanceof Map) {
+                newValue.set(newValueKey, finalValue);
+              } else {
+                newValue[newValueKey] = finalValue;
+              }
+            }
+          }
+        }, "_loop_1");
+        var this_1 = this;
+        for (var _i = 0, keys_1 = keys2; _i < keys_1.length; _i++) {
+          var key = keys_1[_i];
+          _loop_1(key);
+        }
+        if (this.options.enableCircularCheck) {
+          this.recursionStack.delete(value3);
+        }
+        return newValue;
+      } else {
+        return value3;
+      }
+    };
+    TransformOperationExecutor2.prototype.applyCustomTransformations = function(value3, target, key, obj, transformationType) {
+      var _this = this;
+      var metadatas = defaultMetadataStorage.findTransformMetadatas(target, key, this.transformationType);
+      if (this.options.version !== void 0) {
+        metadatas = metadatas.filter(function(metadata) {
+          if (!metadata.options)
+            return true;
+          return _this.checkVersion(metadata.options.since, metadata.options.until);
+        });
+      }
+      if (this.options.groups && this.options.groups.length) {
+        metadatas = metadatas.filter(function(metadata) {
+          if (!metadata.options)
+            return true;
+          return _this.checkGroups(metadata.options.groups);
+        });
+      } else {
+        metadatas = metadatas.filter(function(metadata) {
+          return !metadata.options || !metadata.options.groups || !metadata.options.groups.length;
+        });
+      }
+      metadatas.forEach(function(metadata) {
+        value3 = metadata.transformFn({ value: value3, key, obj, type: transformationType, options: _this.options });
+      });
+      return value3;
+    };
+    TransformOperationExecutor2.prototype.isCircular = function(object) {
+      return this.recursionStack.has(object);
+    };
+    TransformOperationExecutor2.prototype.getReflectedType = function(target, propertyName) {
+      if (!target)
+        return void 0;
+      var meta = defaultMetadataStorage.findTypeMetadata(target, propertyName);
+      return meta ? meta.reflectedType : void 0;
+    };
+    TransformOperationExecutor2.prototype.getKeys = function(target, object, isMap2) {
+      var _this = this;
+      var strategy = defaultMetadataStorage.getStrategy(target);
+      if (strategy === "none")
+        strategy = this.options.strategy || "exposeAll";
+      var keys2 = [];
+      if (strategy === "exposeAll" || isMap2) {
+        if (object instanceof Map) {
+          keys2 = Array.from(object.keys());
+        } else {
+          keys2 = Object.keys(object);
+        }
+      }
+      if (isMap2) {
+        return keys2;
+      }
+      if (this.options.ignoreDecorators && this.options.excludeExtraneousValues && target) {
+        var exposedProperties = defaultMetadataStorage.getExposedProperties(target, this.transformationType);
+        var excludedProperties = defaultMetadataStorage.getExcludedProperties(target, this.transformationType);
+        keys2 = __spreadArray(__spreadArray([], exposedProperties, true), excludedProperties, true);
+      }
+      if (!this.options.ignoreDecorators && target) {
+        var exposedProperties = defaultMetadataStorage.getExposedProperties(target, this.transformationType);
+        if (this.transformationType === TransformationType.PLAIN_TO_CLASS) {
+          exposedProperties = exposedProperties.map(function(key) {
+            var exposeMetadata = defaultMetadataStorage.findExposeMetadata(target, key);
+            if (exposeMetadata && exposeMetadata.options && exposeMetadata.options.name) {
+              return exposeMetadata.options.name;
+            }
+            return key;
+          });
+        }
+        if (this.options.excludeExtraneousValues) {
+          keys2 = exposedProperties;
+        } else {
+          keys2 = keys2.concat(exposedProperties);
+        }
+        var excludedProperties_1 = defaultMetadataStorage.getExcludedProperties(target, this.transformationType);
+        if (excludedProperties_1.length > 0) {
+          keys2 = keys2.filter(function(key) {
+            return !excludedProperties_1.includes(key);
+          });
+        }
+        if (this.options.version !== void 0) {
+          keys2 = keys2.filter(function(key) {
+            var exposeMetadata = defaultMetadataStorage.findExposeMetadata(target, key);
+            if (!exposeMetadata || !exposeMetadata.options)
+              return true;
+            return _this.checkVersion(exposeMetadata.options.since, exposeMetadata.options.until);
+          });
+        }
+        if (this.options.groups && this.options.groups.length) {
+          keys2 = keys2.filter(function(key) {
+            var exposeMetadata = defaultMetadataStorage.findExposeMetadata(target, key);
+            if (!exposeMetadata || !exposeMetadata.options)
+              return true;
+            return _this.checkGroups(exposeMetadata.options.groups);
+          });
+        } else {
+          keys2 = keys2.filter(function(key) {
+            var exposeMetadata = defaultMetadataStorage.findExposeMetadata(target, key);
+            return !exposeMetadata || !exposeMetadata.options || !exposeMetadata.options.groups || !exposeMetadata.options.groups.length;
+          });
+        }
+      }
+      if (this.options.excludePrefixes && this.options.excludePrefixes.length) {
+        keys2 = keys2.filter(function(key) {
+          return _this.options.excludePrefixes.every(function(prefix2) {
+            return key.substr(0, prefix2.length) !== prefix2;
+          });
+        });
+      }
+      keys2 = keys2.filter(function(key, index2, self2) {
+        return self2.indexOf(key) === index2;
+      });
+      return keys2;
+    };
+    TransformOperationExecutor2.prototype.checkVersion = function(since, until2) {
+      var decision = true;
+      if (decision && since)
+        decision = this.options.version >= since;
+      if (decision && until2)
+        decision = this.options.version < until2;
+      return decision;
+    };
+    TransformOperationExecutor2.prototype.checkGroups = function(groups) {
+      if (!groups)
+        return true;
+      return this.options.groups.some(function(optionGroup) {
+        return groups.includes(optionGroup);
+      });
+    };
+    return TransformOperationExecutor2;
+  }()
+);
+var defaultOptions = {
+  enableCircularCheck: false,
+  enableImplicitConversion: false,
+  excludeExtraneousValues: false,
+  excludePrefixes: void 0,
+  exposeDefaultValues: false,
+  exposeUnsetFields: true,
+  groups: void 0,
+  ignoreDecorators: false,
+  strategy: void 0,
+  targetMaps: void 0,
+  version: void 0
+};
+var __assign$1 = function() {
+  __assign$1 = Object.assign || function(t) {
+    for (var s, i2 = 1, n = arguments.length; i2 < n; i2++) {
+      s = arguments[i2];
+      for (var p2 in s) if (Object.prototype.hasOwnProperty.call(s, p2))
+        t[p2] = s[p2];
+    }
+    return t;
+  };
+  return __assign$1.apply(this, arguments);
+};
+var ClassTransformer = (
+  /** @class */
+  function() {
+    function ClassTransformer2() {
+    }
+    __name(ClassTransformer2, "ClassTransformer");
+    ClassTransformer2.prototype.instanceToPlain = function(object, options3) {
+      var executor = new TransformOperationExecutor(TransformationType.CLASS_TO_PLAIN, __assign$1(__assign$1({}, defaultOptions), options3));
+      return executor.transform(void 0, object, void 0, void 0, void 0, void 0);
+    };
+    ClassTransformer2.prototype.classToPlainFromExist = function(object, plainObject, options3) {
+      var executor = new TransformOperationExecutor(TransformationType.CLASS_TO_PLAIN, __assign$1(__assign$1({}, defaultOptions), options3));
+      return executor.transform(plainObject, object, void 0, void 0, void 0, void 0);
+    };
+    ClassTransformer2.prototype.plainToInstance = function(cls, plain, options3) {
+      var executor = new TransformOperationExecutor(TransformationType.PLAIN_TO_CLASS, __assign$1(__assign$1({}, defaultOptions), options3));
+      return executor.transform(void 0, plain, cls, void 0, void 0, void 0);
+    };
+    ClassTransformer2.prototype.plainToClassFromExist = function(clsObject, plain, options3) {
+      var executor = new TransformOperationExecutor(TransformationType.PLAIN_TO_CLASS, __assign$1(__assign$1({}, defaultOptions), options3));
+      return executor.transform(clsObject, plain, void 0, void 0, void 0, void 0);
+    };
+    ClassTransformer2.prototype.instanceToInstance = function(object, options3) {
+      var executor = new TransformOperationExecutor(TransformationType.CLASS_TO_CLASS, __assign$1(__assign$1({}, defaultOptions), options3));
+      return executor.transform(void 0, object, void 0, void 0, void 0, void 0);
+    };
+    ClassTransformer2.prototype.classToClassFromExist = function(object, fromObject, options3) {
+      var executor = new TransformOperationExecutor(TransformationType.CLASS_TO_CLASS, __assign$1(__assign$1({}, defaultOptions), options3));
+      return executor.transform(fromObject, object, void 0, void 0, void 0, void 0);
+    };
+    ClassTransformer2.prototype.serialize = function(object, options3) {
+      return JSON.stringify(this.instanceToPlain(object, options3));
+    };
+    ClassTransformer2.prototype.deserialize = function(cls, json, options3) {
+      var jsonObject = JSON.parse(json);
+      return this.plainToInstance(cls, jsonObject, options3);
+    };
+    ClassTransformer2.prototype.deserializeArray = function(cls, json, options3) {
+      var jsonObject = JSON.parse(json);
+      return this.plainToInstance(cls, jsonObject, options3);
+    };
+    return ClassTransformer2;
+  }()
+);
+function Exclude(options3) {
+  if (options3 === void 0) {
+    options3 = {};
+  }
+  return function(object, propertyName) {
+    defaultMetadataStorage.addExcludeMetadata({
+      target: object instanceof Function ? object : object.constructor,
+      propertyName,
+      options: options3
+    });
+  };
+}
+__name(Exclude, "Exclude");
+function Expose(options3) {
+  if (options3 === void 0) {
+    options3 = {};
+  }
+  return function(object, propertyName) {
+    defaultMetadataStorage.addExposeMetadata({
+      target: object instanceof Function ? object : object.constructor,
+      propertyName,
+      options: options3
+    });
+  };
+}
+__name(Expose, "Expose");
+function TransformInstanceToInstance(params) {
+  return function(target, propertyKey, descriptor) {
+    var classTransformer2 = new ClassTransformer();
+    var originalMethod = descriptor.value;
+    descriptor.value = function() {
+      var args = [];
+      for (var _i = 0; _i < arguments.length; _i++) {
+        args[_i] = arguments[_i];
+      }
+      var result = originalMethod.apply(this, args);
+      var isPromise2 = !!result && (typeof result === "object" || typeof result === "function") && typeof result.then === "function";
+      return isPromise2 ? result.then(function(data24) {
+        return classTransformer2.instanceToInstance(data24, params);
+      }) : classTransformer2.instanceToInstance(result, params);
+    };
+  };
+}
+__name(TransformInstanceToInstance, "TransformInstanceToInstance");
+function TransformInstanceToPlain(params) {
+  return function(target, propertyKey, descriptor) {
+    var classTransformer2 = new ClassTransformer();
+    var originalMethod = descriptor.value;
+    descriptor.value = function() {
+      var args = [];
+      for (var _i = 0; _i < arguments.length; _i++) {
+        args[_i] = arguments[_i];
+      }
+      var result = originalMethod.apply(this, args);
+      var isPromise2 = !!result && (typeof result === "object" || typeof result === "function") && typeof result.then === "function";
+      return isPromise2 ? result.then(function(data24) {
+        return classTransformer2.instanceToPlain(data24, params);
+      }) : classTransformer2.instanceToPlain(result, params);
+    };
+  };
+}
+__name(TransformInstanceToPlain, "TransformInstanceToPlain");
+function TransformPlainToInstance(classType, params) {
+  return function(target, propertyKey, descriptor) {
+    var classTransformer2 = new ClassTransformer();
+    var originalMethod = descriptor.value;
+    descriptor.value = function() {
+      var args = [];
+      for (var _i = 0; _i < arguments.length; _i++) {
+        args[_i] = arguments[_i];
+      }
+      var result = originalMethod.apply(this, args);
+      var isPromise2 = !!result && (typeof result === "object" || typeof result === "function") && typeof result.then === "function";
+      return isPromise2 ? result.then(function(data24) {
+        return classTransformer2.plainToInstance(classType, data24, params);
+      }) : classTransformer2.plainToInstance(classType, result, params);
+    };
+  };
+}
+__name(TransformPlainToInstance, "TransformPlainToInstance");
+function Transform(transformFn, options3) {
+  if (options3 === void 0) {
+    options3 = {};
+  }
+  return function(target, propertyName) {
+    defaultMetadataStorage.addTransformMetadata({
+      target: target.constructor,
+      propertyName,
+      transformFn,
+      options: options3
+    });
+  };
+}
+__name(Transform, "Transform");
+function Type(typeFunction, options3) {
+  if (options3 === void 0) {
+    options3 = {};
+  }
+  return function(target, propertyName) {
+    var reflectedType = Reflect.getMetadata("design:type", target, propertyName);
+    defaultMetadataStorage.addTypeMetadata({
+      target: target.constructor,
+      propertyName,
+      reflectedType,
+      typeFunction,
+      options: options3
+    });
+  };
+}
+__name(Type, "Type");
+var classTransformer = new ClassTransformer();
+function classToPlain(object, options3) {
+  return classTransformer.instanceToPlain(object, options3);
+}
+__name(classToPlain, "classToPlain");
+function instanceToPlain(object, options3) {
+  return classTransformer.instanceToPlain(object, options3);
+}
+__name(instanceToPlain, "instanceToPlain");
+function classToPlainFromExist(object, plainObject, options3) {
+  return classTransformer.classToPlainFromExist(object, plainObject, options3);
+}
+__name(classToPlainFromExist, "classToPlainFromExist");
+function plainToClass(cls, plain, options3) {
+  return classTransformer.plainToInstance(cls, plain, options3);
+}
+__name(plainToClass, "plainToClass");
+function plainToInstance(cls, plain, options3) {
+  return classTransformer.plainToInstance(cls, plain, options3);
+}
+__name(plainToInstance, "plainToInstance");
+function plainToClassFromExist(clsObject, plain, options3) {
+  return classTransformer.plainToClassFromExist(clsObject, plain, options3);
+}
+__name(plainToClassFromExist, "plainToClassFromExist");
+function instanceToInstance(object, options3) {
+  return classTransformer.instanceToInstance(object, options3);
+}
+__name(instanceToInstance, "instanceToInstance");
+function classToClassFromExist(object, fromObject, options3) {
+  return classTransformer.classToClassFromExist(object, fromObject, options3);
+}
+__name(classToClassFromExist, "classToClassFromExist");
+function serialize(object, options3) {
+  return classTransformer.serialize(object, options3);
+}
+__name(serialize, "serialize");
+function deserialize(cls, json, options3) {
+  return classTransformer.deserialize(cls, json, options3);
+}
+__name(deserialize, "deserialize");
+function deserializeArray(cls, json, options3) {
+  return classTransformer.deserializeArray(cls, json, options3);
+}
+__name(deserializeArray, "deserializeArray");
+var __defProp = Object.defineProperty;
+var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
+var __decorateClass = /* @__PURE__ */ __name((decorators, target, key, kind) => {
+  var result = kind > 1 ? void 0 : kind ? __getOwnPropDesc(target, key) : target;
+  for (var i2 = decorators.length - 1, decorator; i2 >= 0; i2--)
+    if (decorator = decorators[i2])
+      result = (kind ? decorator(target, key, result) : decorator(result)) || result;
+  if (kind && result) __defProp(target, key, result);
+  return result;
+}, "__decorateClass");
+class BaseInputSpec {
+  static {
+    __name(this, "BaseInputSpec");
+  }
+  name;
+  type;
+  tooltip;
+  default;
+  forceInput;
+  static isInputSpec(obj) {
+    return Array.isArray(obj) && obj.length >= 1 && (typeof obj[0] === "string" || Array.isArray(obj[0]));
+  }
+}
+__decorateClass([
+  Type(() => Boolean)
+], BaseInputSpec.prototype, "forceInput", 2);
+class NumericInputSpec extends BaseInputSpec {
+  static {
+    __name(this, "NumericInputSpec");
+  }
+  min;
+  max;
+  step;
+}
+__decorateClass([
+  Type(() => Number)
+], NumericInputSpec.prototype, "min", 2);
+__decorateClass([
+  Type(() => Number)
+], NumericInputSpec.prototype, "max", 2);
+__decorateClass([
+  Type(() => Number)
+], NumericInputSpec.prototype, "step", 2);
+class IntInputSpec extends NumericInputSpec {
+  static {
+    __name(this, "IntInputSpec");
+  }
+  type = "INT";
+}
+class FloatInputSpec extends NumericInputSpec {
+  static {
+    __name(this, "FloatInputSpec");
+  }
+  type = "FLOAT";
+  round;
+}
+__decorateClass([
+  Type(() => Number)
+], FloatInputSpec.prototype, "round", 2);
+class BooleanInputSpec extends BaseInputSpec {
+  static {
+    __name(this, "BooleanInputSpec");
+  }
+  type = "BOOLEAN";
+  labelOn;
+  labelOff;
+}
+class StringInputSpec extends BaseInputSpec {
+  static {
+    __name(this, "StringInputSpec");
+  }
+  type = "STRING";
+  multiline;
+  dynamicPrompts;
+}
+__decorateClass([
+  Type(() => Boolean)
+], StringInputSpec.prototype, "multiline", 2);
+__decorateClass([
+  Type(() => Boolean)
+], StringInputSpec.prototype, "dynamicPrompts", 2);
+class ComboInputSpec extends BaseInputSpec {
+  static {
+    __name(this, "ComboInputSpec");
+  }
+  type = "COMBO";
+  comboOptions;
+  controlAfterGenerate;
+  imageUpload;
+}
+__decorateClass([
+  Transform(({ value: value3 }) => value3[0])
+], ComboInputSpec.prototype, "comboOptions", 2);
+__decorateClass([
+  Type(() => Boolean)
+], ComboInputSpec.prototype, "controlAfterGenerate", 2);
+__decorateClass([
+  Type(() => Boolean)
+], ComboInputSpec.prototype, "imageUpload", 2);
+class CustomInputSpec extends BaseInputSpec {
+  static {
+    __name(this, "CustomInputSpec");
+  }
+}
+const _ComfyInputsSpec = class _ComfyInputsSpec2 {
+  static {
+    __name(this, "_ComfyInputsSpec");
+  }
+  required = {};
+  optional = {};
+  hidden;
+  static transformInputSpecRecord(record) {
+    if (!record) return record;
+    const result = {};
+    for (const [key, value3] of Object.entries(record)) {
+      result[key] = _ComfyInputsSpec2.transformSingleInputSpec(key, value3);
+    }
+    return result;
+  }
+  static transformSingleInputSpec(name, value3) {
+    if (!BaseInputSpec.isInputSpec(value3)) return value3;
+    const [typeRaw, _spec] = value3;
+    const spec = _spec ?? {};
+    const type = Array.isArray(typeRaw) ? "COMBO" : value3[0];
+    switch (type) {
+      case "INT":
+        return plainToClass(IntInputSpec, { name, type, ...spec });
+      case "FLOAT":
+        return plainToClass(FloatInputSpec, { name, type, ...spec });
+      case "BOOLEAN":
+        return plainToClass(BooleanInputSpec, { name, type, ...spec });
+      case "STRING":
+        return plainToClass(StringInputSpec, { name, type, ...spec });
+      case "COMBO":
+        return plainToClass(ComboInputSpec, {
+          name,
+          type,
+          ...spec,
+          comboOptions: typeRaw,
+          default: spec.default ?? typeRaw[0]
+        });
+      default:
+        return plainToClass(CustomInputSpec, { name, type, ...spec });
+    }
+  }
+  get all() {
+    return [...Object.values(this.required), ...Object.values(this.optional)];
+  }
+  getInput(name) {
+    return this.required[name] ?? this.optional[name];
+  }
+};
+__decorateClass([
+  Transform(({ value: value3 }) => _ComfyInputsSpec.transformInputSpecRecord(value3))
+], _ComfyInputsSpec.prototype, "required", 2);
+__decorateClass([
+  Transform(({ value: value3 }) => _ComfyInputsSpec.transformInputSpecRecord(value3))
+], _ComfyInputsSpec.prototype, "optional", 2);
+let ComfyInputsSpec = _ComfyInputsSpec;
+class ComfyOutputSpec {
+  static {
+    __name(this, "ComfyOutputSpec");
+  }
+  constructor(index2, name, type, is_list, comboOptions, tooltip) {
+    this.index = index2;
+    this.name = name;
+    this.type = type;
+    this.is_list = is_list;
+    this.comboOptions = comboOptions;
+    this.tooltip = tooltip;
+  }
+}
+class ComfyOutputsSpec {
+  static {
+    __name(this, "ComfyOutputsSpec");
+  }
+  constructor(outputs) {
+    this.outputs = outputs;
+  }
+  get all() {
+    return this.outputs;
+  }
+}
+const _ComfyNodeDefImpl = class _ComfyNodeDefImpl2 {
+  static {
+    __name(this, "_ComfyNodeDefImpl");
+  }
+  name;
+  display_name;
+  category;
+  python_module;
+  description;
+  deprecated;
+  experimental;
+  input;
+  output;
+  static transformOutputSpec(obj) {
+    const { output, output_is_list, output_name, output_tooltips } = obj;
+    const result = output.map((type, index2) => {
+      const typeString = Array.isArray(type) ? "COMBO" : type;
+      return new ComfyOutputSpec(
+        index2,
+        output_name[index2],
+        typeString,
+        output_is_list[index2],
+        Array.isArray(type) ? type : void 0,
+        output_tooltips?.[index2]
+      );
+    });
+    return new ComfyOutputsSpec(result);
+  }
+  get nodePath() {
+    return (this.category ? this.category + "/" : "") + this.display_name;
+  }
+  get isDummyFolder() {
+    return this.name === "";
+  }
+};
+__decorateClass([
+  Transform(({ value: value3, obj }) => value3 ?? obj.category === "", {
+    toClassOnly: true
+  }),
+  Type(() => Boolean),
+  Expose()
+], _ComfyNodeDefImpl.prototype, "deprecated", 2);
+__decorateClass([
+  Transform(
+    ({ value: value3, obj }) => value3 ?? obj.category.startsWith("_for_testing"),
+    {
+      toClassOnly: true
+    }
+  ),
+  Type(() => Boolean),
+  Expose()
+], _ComfyNodeDefImpl.prototype, "experimental", 2);
+__decorateClass([
+  Type(() => ComfyInputsSpec)
+], _ComfyNodeDefImpl.prototype, "input", 2);
+__decorateClass([
+  Transform(({ obj }) => _ComfyNodeDefImpl.transformOutputSpec(obj))
+], _ComfyNodeDefImpl.prototype, "output", 2);
+let ComfyNodeDefImpl = _ComfyNodeDefImpl;
+const SYSTEM_NODE_DEFS = {
+  PrimitiveNode: {
+    name: "PrimitiveNode",
+    display_name: "Primitive",
+    category: "utils",
+    input: { required: {}, optional: {} },
+    output: ["*"],
+    output_name: ["connect to widget input"],
+    output_is_list: [false],
+    python_module: "nodes",
+    description: "Primitive values like numbers, strings, and booleans."
+  },
+  Reroute: {
+    name: "Reroute",
+    display_name: "Reroute",
+    category: "utils",
+    input: { required: { "": ["*"] }, optional: {} },
+    output: ["*"],
+    output_name: [""],
+    output_is_list: [false],
+    python_module: "nodes",
+    description: "Reroute the connection to another node."
+  },
+  Note: {
+    name: "Note",
+    display_name: "Note",
+    category: "utils",
+    input: { required: {}, optional: {} },
+    output: [],
+    output_name: [],
+    output_is_list: [],
+    python_module: "nodes",
+    description: "Node that add notes to your project"
+  }
+};
+function buildNodeDefTree(nodeDefs) {
+  return buildTree(
+    nodeDefs,
+    (nodeDef) => nodeDef.nodePath.split("/")
+  );
+}
+__name(buildNodeDefTree, "buildNodeDefTree");
+function createDummyFolderNodeDef(folderPath) {
+  return plainToClass(ComfyNodeDefImpl, {
+    name: "",
+    display_name: "",
+    category: folderPath.endsWith("/") ? folderPath.slice(0, -1) : folderPath,
+    python_module: "nodes",
+    description: "Dummy Folder Node (User should never see this string)"
+  });
+}
+__name(createDummyFolderNodeDef, "createDummyFolderNodeDef");
+const useNodeDefStore = defineStore("nodeDef", {
+  state: /* @__PURE__ */ __name(() => ({
+    nodeDefsByName: {},
+    nodeDefsByDisplayName: {},
+    widgets: {},
+    showDeprecated: false,
+    showExperimental: false
+  }), "state"),
+  getters: {
+    nodeDefs(state) {
+      return Object.values(state.nodeDefsByName);
+    },
+    // Node defs that are not deprecated
+    visibleNodeDefs(state) {
+      return this.nodeDefs.filter(
+        (nodeDef) => (state.showDeprecated || !nodeDef.deprecated) && (state.showExperimental || !nodeDef.experimental)
+      );
+    },
+    nodeSearchService() {
+      return new NodeSearchService(this.visibleNodeDefs);
+    },
+    nodeTree() {
+      return buildNodeDefTree(this.visibleNodeDefs);
+    }
+  },
+  actions: {
+    updateNodeDefs(nodeDefs) {
+      const newNodeDefsByName = {};
+      const nodeDefsByDisplayName = {};
+      for (const nodeDef of nodeDefs) {
+        const nodeDefImpl = plainToClass(ComfyNodeDefImpl, nodeDef);
+        newNodeDefsByName[nodeDef.name] = nodeDefImpl;
+        nodeDefsByDisplayName[nodeDef.display_name] = nodeDefImpl;
+      }
+      this.nodeDefsByName = newNodeDefsByName;
+      this.nodeDefsByDisplayName = nodeDefsByDisplayName;
+    },
+    updateWidgets(widgets) {
+      this.widgets = widgets;
+    },
+    getWidgetType(type, inputName) {
+      if (type === "COMBO") {
+        return "COMBO";
+      } else if (`${type}:${inputName}` in this.widgets) {
+        return `${type}:${inputName}`;
+      } else if (type in this.widgets) {
+        return type;
+      } else {
+        return null;
+      }
+    },
+    inputIsWidget(spec) {
+      return this.getWidgetType(spec.type, spec.name) !== null;
+    }
+  }
+});
+const useWorkspaceStore = defineStore("workspace", {
+  state: /* @__PURE__ */ __name(() => ({
+    spinner: false,
+    activeSidebarTab: null,
+    sidebarTabs: []
+  }), "state"),
+  getters: {
+    toast() {
+      return useToastStore();
+    }
+  },
+  actions: {
+    updateActiveSidebarTab(tabId) {
+      this.activeSidebarTab = tabId;
+    },
+    registerSidebarTab(tab) {
+      this.sidebarTabs = [...this.sidebarTabs, tab];
+    },
+    unregisterSidebarTab(id2) {
+      const index2 = this.sidebarTabs.findIndex((tab) => tab.id === id2);
+      if (index2 !== -1) {
+        const tab = this.sidebarTabs[index2];
+        if (tab.type === "custom" && tab.destroy) {
+          tab.destroy();
+        }
+        const newSidebarTabs = [...this.sidebarTabs];
+        newSidebarTabs.splice(index2, 1);
+        this.sidebarTabs = newSidebarTabs;
+      }
+    },
+    getSidebarTabs() {
+      return [...this.sidebarTabs];
+    }
+  }
+});
+const ANIM_PREVIEW_WIDGET = "$$comfy_animation_preview";
+function sanitizeNodeName(string) {
+  let entityMap = {
+    "&": "",
+    "<": "",
+    ">": "",
+    '"': "",
+    "'": "",
+    "`": "",
+    "=": ""
+  };
+  return String(string).replace(/[&<>"'`=]/g, /* @__PURE__ */ __name(function fromEntityMap(s) {
+    return entityMap[s];
+  }, "fromEntityMap"));
+}
+__name(sanitizeNodeName, "sanitizeNodeName");
+class ComfyApp {
+  static {
+    __name(this, "ComfyApp");
+  }
+  /**
+   * List of entries to queue
+   * @type {{number: number, batchCount: number}[]}
+   */
+  #queueItems = [];
+  /**
+   * If the queue is currently being processed
+   * @type {boolean}
+   */
+  #processingQueue = false;
+  /**
+   * Content Clipboard
+   * @type {serialized node object}
+   */
+  static clipspace = null;
+  static clipspace_invalidate_handler = null;
+  static open_maskeditor = null;
+  static clipspace_return_node = null;
+  // Force vite to import utils.ts as part of index.
+  // Force import of DraggableList.
+  static utils = {
+    applyTextReplacements,
+    addStylesheet,
+    DraggableList
+  };
+  vueAppReady;
+  ui;
+  logging;
+  extensions;
+  extensionManager;
+  _nodeOutputs;
+  nodePreviewImages;
+  shiftDown;
+  graph;
+  enableWorkflowViewRestore;
+  canvas;
+  dragOverNode;
+  canvasEl;
+  // x, y, scale
+  zoom_drag_start;
+  lastNodeErrors;
+  runningNodeId;
+  lastExecutionError;
+  progress;
+  configuringGraph;
+  isNewUserSession;
+  storageLocation;
+  multiUserServer;
+  ctx;
+  widgets;
+  workflowManager;
+  bodyTop;
+  bodyLeft;
+  bodyRight;
+  bodyBottom;
+  canvasContainer;
+  menu;
+  modelsInFolderCache;
+  constructor() {
+    this.vueAppReady = false;
+    this.ui = new ComfyUI(this);
+    this.logging = new ComfyLogging(this);
+    this.workflowManager = new ComfyWorkflowManager(this);
+    this.bodyTop = $el("div.comfyui-body-top", { parent: document.body });
+    this.bodyLeft = $el("div.comfyui-body-left", { parent: document.body });
+    this.bodyRight = $el("div.comfyui-body-right", { parent: document.body });
+    this.bodyBottom = $el("div.comfyui-body-bottom", { parent: document.body });
+    this.canvasContainer = $el("div.graph-canvas-container", {
+      parent: document.body
+    });
+    this.menu = new ComfyAppMenu(this);
+    this.modelsInFolderCache = {};
+    this.extensions = [];
+    this.nodeOutputs = {};
+    this.nodePreviewImages = {};
+    this.shiftDown = false;
+  }
+  get nodeOutputs() {
+    return this._nodeOutputs;
+  }
+  set nodeOutputs(value3) {
+    this._nodeOutputs = value3;
+    this.#invokeExtensions("onNodeOutputsUpdated", value3);
+  }
+  getPreviewFormatParam() {
+    let preview_format = this.ui.settings.getSettingValue("Comfy.PreviewFormat");
+    if (preview_format) return `&preview=${preview_format}`;
+    else return "";
+  }
+  getRandParam() {
+    return "&rand=" + Math.random();
+  }
+  static isImageNode(node3) {
+    return node3.imgs || node3 && node3.widgets && node3.widgets.findIndex((obj) => obj.name === "image") >= 0;
+  }
+  static onClipspaceEditorSave() {
+    if (ComfyApp.clipspace_return_node) {
+      ComfyApp.pasteFromClipspace(ComfyApp.clipspace_return_node);
+    }
+  }
+  static onClipspaceEditorClosed() {
+    ComfyApp.clipspace_return_node = null;
+  }
+  static copyToClipspace(node3) {
+    var widgets = null;
+    if (node3.widgets) {
+      widgets = node3.widgets.map(({ type, name, value: value3 }) => ({
+        type,
+        name,
+        value: value3
+      }));
+    }
+    var imgs = void 0;
+    var orig_imgs = void 0;
+    if (node3.imgs != void 0) {
+      imgs = [];
+      orig_imgs = [];
+      for (let i2 = 0; i2 < node3.imgs.length; i2++) {
+        imgs[i2] = new Image();
+        imgs[i2].src = node3.imgs[i2].src;
+        orig_imgs[i2] = imgs[i2];
+      }
+    }
+    var selectedIndex = 0;
+    if (node3.imageIndex) {
+      selectedIndex = node3.imageIndex;
+    }
+    ComfyApp.clipspace = {
+      widgets,
+      imgs,
+      original_imgs: orig_imgs,
+      images: node3.images,
+      selectedIndex,
+      img_paste_mode: "selected"
+      // reset to default im_paste_mode state on copy action
+    };
+    ComfyApp.clipspace_return_node = null;
+    if (ComfyApp.clipspace_invalidate_handler) {
+      ComfyApp.clipspace_invalidate_handler();
+    }
+  }
+  static pasteFromClipspace(node3) {
+    if (ComfyApp.clipspace) {
+      if (ComfyApp.clipspace.imgs && node3.imgs) {
+        if (node3.images && ComfyApp.clipspace.images) {
+          if (ComfyApp.clipspace["img_paste_mode"] == "selected") {
+            node3.images = [
+              ComfyApp.clipspace.images[ComfyApp.clipspace["selectedIndex"]]
+            ];
+          } else {
+            node3.images = ComfyApp.clipspace.images;
+          }
+          if (app$1.nodeOutputs[node3.id + ""])
+            app$1.nodeOutputs[node3.id + ""].images = node3.images;
+        }
+        if (ComfyApp.clipspace.imgs) {
+          if (ComfyApp.clipspace["img_paste_mode"] == "selected") {
+            const img = new Image();
+            img.src = ComfyApp.clipspace.imgs[ComfyApp.clipspace["selectedIndex"]].src;
+            node3.imgs = [img];
+            node3.imageIndex = 0;
+          } else {
+            const imgs = [];
+            for (let i2 = 0; i2 < ComfyApp.clipspace.imgs.length; i2++) {
+              imgs[i2] = new Image();
+              imgs[i2].src = ComfyApp.clipspace.imgs[i2].src;
+              node3.imgs = imgs;
+            }
+          }
+        }
+      }
+      if (node3.widgets) {
+        if (ComfyApp.clipspace.images) {
+          const clip_image = ComfyApp.clipspace.images[ComfyApp.clipspace["selectedIndex"]];
+          const index2 = node3.widgets.findIndex((obj) => obj.name === "image");
+          if (index2 >= 0) {
+            if (node3.widgets[index2].type != "image" && typeof node3.widgets[index2].value == "string" && clip_image.filename) {
+              node3.widgets[index2].value = (clip_image.subfolder ? clip_image.subfolder + "/" : "") + clip_image.filename + (clip_image.type ? ` [${clip_image.type}]` : "");
+            } else {
+              node3.widgets[index2].value = clip_image;
+            }
+          }
+        }
+        if (ComfyApp.clipspace.widgets) {
+          ComfyApp.clipspace.widgets.forEach(({ type, name, value: value3 }) => {
+            const prop2 = Object.values(node3.widgets).find(
+              // @ts-expect-errorg
+              (obj) => obj.type === type && obj.name === name
+            );
+            if (prop2 && prop2.type != "button") {
+              if (
+                // @ts-expect-error
+                prop2.type != "image" && // @ts-expect-error
+                typeof prop2.value == "string" && value3.filename
+              ) {
+                prop2.value = (value3.subfolder ? value3.subfolder + "/" : "") + value3.filename + (value3.type ? ` [${value3.type}]` : "");
+              } else {
+                prop2.value = value3;
+                prop2.callback(value3);
+              }
+            }
+          });
+        }
+      }
+      app$1.graph.setDirtyCanvas(true);
+    }
+  }
+  /**
+   * Invoke an extension callback
+   * @param {keyof ComfyExtension} method The extension callback to execute
+   * @param  {any[]} args Any arguments to pass to the callback
+   * @returns
+   */
+  #invokeExtensions(method, ...args) {
+    let results = [];
+    for (const ext of this.extensions) {
+      if (method in ext) {
+        try {
+          results.push(ext[method](...args, this));
+        } catch (error) {
+          console.error(
+            `Error calling extension '${ext.name}' method '${method}'`,
+            { error },
+            { extension: ext },
+            { args }
+          );
+        }
+      }
+    }
+    return results;
+  }
+  /**
+   * Invoke an async extension callback
+   * Each callback will be invoked concurrently
+   * @param {string} method The extension callback to execute
+   * @param  {...any} args Any arguments to pass to the callback
+   * @returns
+   */
+  async #invokeExtensionsAsync(method, ...args) {
+    return await Promise.all(
+      this.extensions.map(async (ext) => {
+        if (method in ext) {
+          try {
+            return await ext[method](...args, this);
+          } catch (error) {
+            console.error(
+              `Error calling extension '${ext.name}' method '${method}'`,
+              { error },
+              { extension: ext },
+              { args }
+            );
+          }
+        }
+      })
+    );
+  }
+  #addRestoreWorkflowView() {
+    const serialize2 = LGraph.prototype.serialize;
+    const self2 = this;
+    LGraph.prototype.serialize = function() {
+      const workflow = serialize2.apply(this, arguments);
+      if (self2.enableWorkflowViewRestore.value) {
+        if (!workflow.extra) {
+          workflow.extra = {};
+        }
+        workflow.extra.ds = {
+          scale: self2.canvas.ds.scale,
+          offset: self2.canvas.ds.offset
+        };
+      } else if (workflow.extra?.ds) {
+        delete workflow.extra.ds;
+      }
+      return workflow;
+    };
+    this.enableWorkflowViewRestore = this.ui.settings.addSetting({
+      id: "Comfy.EnableWorkflowViewRestore",
+      category: ["Comfy", "Workflow", "EnableWorkflowViewRestore"],
+      name: "Save and restore canvas position and zoom level in workflows",
+      type: "boolean",
+      defaultValue: true
+    });
+  }
+  /**
+   * Adds special context menu handling for nodes
+   * e.g. this adds Open Image functionality for nodes that show images
+   * @param {*} node The node to add the menu handler
+   */
+  #addNodeContextMenuHandler(node3) {
+    function getCopyImageOption(img) {
+      if (typeof window.ClipboardItem === "undefined") return [];
+      return [
+        {
+          content: "Copy Image",
+          callback: /* @__PURE__ */ __name(async () => {
+            const url = new URL(img.src);
+            url.searchParams.delete("preview");
+            const writeImage = /* @__PURE__ */ __name(async (blob) => {
+              await navigator.clipboard.write([
+                new ClipboardItem({
+                  [blob.type]: blob
+                })
+              ]);
+            }, "writeImage");
+            try {
+              const data24 = await fetch(url);
+              const blob = await data24.blob();
+              try {
+                await writeImage(blob);
+              } catch (error) {
+                if (blob.type !== "image/png") {
+                  const canvas = $el("canvas", {
+                    width: img.naturalWidth,
+                    height: img.naturalHeight
+                  });
+                  const ctx = canvas.getContext("2d");
+                  let image;
+                  if (typeof window.createImageBitmap === "undefined") {
+                    image = new Image();
+                    const p2 = new Promise((resolve8, reject2) => {
+                      image.onload = resolve8;
+                      image.onerror = reject2;
+                    }).finally(() => {
+                      URL.revokeObjectURL(image.src);
+                    });
+                    image.src = URL.createObjectURL(blob);
+                    await p2;
+                  } else {
+                    image = await createImageBitmap(blob);
+                  }
+                  try {
+                    ctx.drawImage(image, 0, 0);
+                    canvas.toBlob(writeImage, "image/png");
+                  } finally {
+                    if (typeof image.close === "function") {
+                      image.close();
+                    }
+                  }
+                  return;
+                }
+                throw error;
+              }
+            } catch (error) {
+              alert("Error copying image: " + (error.message ?? error));
+            }
+          }, "callback")
+        }
+      ];
+    }
+    __name(getCopyImageOption, "getCopyImageOption");
+    node3.prototype.getExtraMenuOptions = function(_2, options3) {
+      if (this.imgs) {
+        let img;
+        if (this.imageIndex != null) {
+          img = this.imgs[this.imageIndex];
+        } else if (this.overIndex != null) {
+          img = this.imgs[this.overIndex];
+        }
+        if (img) {
+          options3.unshift(
+            {
+              content: "Open Image",
+              callback: /* @__PURE__ */ __name(() => {
+                let url = new URL(img.src);
+                url.searchParams.delete("preview");
+                window.open(url, "_blank");
+              }, "callback")
+            },
+            ...getCopyImageOption(img),
+            {
+              content: "Save Image",
+              callback: /* @__PURE__ */ __name(() => {
+                const a = document.createElement("a");
+                let url = new URL(img.src);
+                url.searchParams.delete("preview");
+                a.href = url.toString();
+                a.setAttribute(
+                  "download",
+                  new URLSearchParams(url.search).get("filename")
+                );
+                document.body.append(a);
+                a.click();
+                requestAnimationFrame(() => a.remove());
+              }, "callback")
+            }
+          );
+        }
+      }
+      options3.push({
+        content: "Bypass",
+        callback: /* @__PURE__ */ __name((obj) => {
+          if (this.mode === 4) this.mode = 0;
+          else this.mode = 4;
+          this.graph.change();
+        }, "callback")
+      });
+      if (!ComfyApp.clipspace_return_node) {
+        options3.push({
+          content: "Copy (Clipspace)",
+          callback: /* @__PURE__ */ __name((obj) => {
+            ComfyApp.copyToClipspace(this);
+          }, "callback")
+        });
+        if (ComfyApp.clipspace != null) {
+          options3.push({
+            content: "Paste (Clipspace)",
+            callback: /* @__PURE__ */ __name(() => {
+              ComfyApp.pasteFromClipspace(this);
+            }, "callback")
+          });
+        }
+        if (ComfyApp.isImageNode(this)) {
+          options3.push({
+            content: "Open in MaskEditor",
+            callback: /* @__PURE__ */ __name((obj) => {
+              ComfyApp.copyToClipspace(this);
+              ComfyApp.clipspace_return_node = this;
+              ComfyApp.open_maskeditor();
+            }, "callback")
+          });
+        }
+      }
+    };
+  }
+  #addNodeKeyHandler(node3) {
+    const app2 = this;
+    const origNodeOnKeyDown = node3.prototype.onKeyDown;
+    node3.prototype.onKeyDown = function(e) {
+      if (origNodeOnKeyDown && origNodeOnKeyDown.apply(this, e) === false) {
+        return false;
+      }
+      if (this.flags.collapsed || !this.imgs || this.imageIndex === null) {
+        return;
+      }
+      let handled = false;
+      if (e.key === "ArrowLeft" || e.key === "ArrowRight") {
+        if (e.key === "ArrowLeft") {
+          this.imageIndex -= 1;
+        } else if (e.key === "ArrowRight") {
+          this.imageIndex += 1;
+        }
+        this.imageIndex %= this.imgs.length;
+        if (this.imageIndex < 0) {
+          this.imageIndex = this.imgs.length + this.imageIndex;
+        }
+        handled = true;
+      } else if (e.key === "Escape") {
+        this.imageIndex = null;
+        handled = true;
+      }
+      if (handled === true) {
+        e.preventDefault();
+        e.stopImmediatePropagation();
+        return false;
+      }
+    };
+  }
+  /**
+   * Adds Custom drawing logic for nodes
+   * e.g. Draws images and handles thumbnail navigation on nodes that output images
+   * @param {*} node The node to add the draw handler
+   */
+  #addDrawBackgroundHandler(node3) {
+    const app2 = this;
+    function getImageTop(node22) {
+      let shiftY;
+      if (node22.imageOffset != null) {
+        shiftY = node22.imageOffset;
+      } else {
+        if (node22.widgets?.length) {
+          const w2 = node22.widgets[node22.widgets.length - 1];
+          shiftY = w2.last_y;
+          if (w2.computeSize) {
+            shiftY += w2.computeSize()[1] + 4;
+          } else if (w2.computedHeight) {
+            shiftY += w2.computedHeight;
+          } else {
+            shiftY += LiteGraph.NODE_WIDGET_HEIGHT + 4;
+          }
+        } else {
+          shiftY = node22.computeSize()[1];
+        }
+      }
+      return shiftY;
+    }
+    __name(getImageTop, "getImageTop");
+    node3.prototype.setSizeForImage = function(force) {
+      if (!force && this.animatedImages) return;
+      if (this.inputHeight || this.freeWidgetSpace > 210) {
+        this.setSize(this.size);
+        return;
+      }
+      const minHeight = getImageTop(this) + 220;
+      if (this.size[1] < minHeight) {
+        this.setSize([this.size[0], minHeight]);
+      }
+    };
+    function unsafeDrawBackground(ctx) {
+      if (!this.flags.collapsed) {
+        let imgURLs = [];
+        let imagesChanged = false;
+        const output = app2.nodeOutputs[this.id + ""];
+        if (output?.images) {
+          this.animatedImages = output?.animated?.find(Boolean);
+          if (this.images !== output.images) {
+            this.images = output.images;
+            imagesChanged = true;
+            imgURLs = imgURLs.concat(
+              output.images.map((params) => {
+                return api.apiURL(
+                  "/view?" + new URLSearchParams(params).toString() + (this.animatedImages ? "" : app2.getPreviewFormatParam()) + app2.getRandParam()
+                );
+              })
+            );
+          }
+        }
+        const preview2 = app2.nodePreviewImages[this.id + ""];
+        if (this.preview !== preview2) {
+          this.preview = preview2;
+          imagesChanged = true;
+          if (preview2 != null) {
+            imgURLs.push(preview2);
+          }
+        }
+        if (imagesChanged) {
+          this.imageIndex = null;
+          if (imgURLs.length > 0) {
+            Promise.all(
+              imgURLs.map((src) => {
+                return new Promise((r) => {
+                  const img = new Image();
+                  img.onload = () => r(img);
+                  img.onerror = () => r(null);
+                  img.src = src;
+                });
+              })
+            ).then((imgs) => {
+              if ((!output || this.images === output.images) && (!preview2 || this.preview === preview2)) {
+                this.imgs = imgs.filter(Boolean);
+                this.setSizeForImage?.();
+                app2.graph.setDirtyCanvas(true);
+              }
+            });
+          } else {
+            this.imgs = null;
+          }
+        }
+        const is_all_same_aspect_ratio = /* @__PURE__ */ __name((imgs) => {
+          let ratio2 = imgs[0].naturalWidth / imgs[0].naturalHeight;
+          for (let i2 = 1; i2 < imgs.length; i2++) {
+            let this_ratio = imgs[i2].naturalWidth / imgs[i2].naturalHeight;
+            if (ratio2 != this_ratio) return false;
+          }
+          return true;
+        }, "is_all_same_aspect_ratio");
+        if (this.imgs?.length) {
+          const widgetIdx = this.widgets?.findIndex(
+            (w2) => w2.name === ANIM_PREVIEW_WIDGET
+          );
+          if (this.animatedImages) {
+            if (widgetIdx > -1) {
+              const widget = this.widgets[widgetIdx];
+              widget.options.host.updateImages(this.imgs);
+            } else {
+              const host = createImageHost(this);
+              this.setSizeForImage(true);
+              const widget = this.addDOMWidget(
+                ANIM_PREVIEW_WIDGET,
+                "img",
+                host.el,
+                {
+                  host,
+                  getHeight: host.getHeight,
+                  onDraw: host.onDraw,
+                  hideOnZoom: false
+                }
+              );
+              widget.serializeValue = () => void 0;
+              widget.options.host.updateImages(this.imgs);
+            }
+            return;
+          }
+          if (widgetIdx > -1) {
+            this.widgets[widgetIdx].onRemove?.();
+            this.widgets.splice(widgetIdx, 1);
+          }
+          const canvas = app2.graph.list_of_graphcanvas[0];
+          const mouse = canvas.graph_mouse;
+          if (!canvas.pointer_is_down && this.pointerDown) {
+            if (mouse[0] === this.pointerDown.pos[0] && mouse[1] === this.pointerDown.pos[1]) {
+              this.imageIndex = this.pointerDown.index;
+            }
+            this.pointerDown = null;
+          }
+          let imageIndex = this.imageIndex;
+          const numImages = this.imgs.length;
+          if (numImages === 1 && !imageIndex) {
+            this.imageIndex = imageIndex = 0;
+          }
+          const top = getImageTop(this);
+          var shiftY = top;
+          let dw = this.size[0];
+          let dh = this.size[1];
+          dh -= shiftY;
+          if (imageIndex == null) {
+            var cellWidth, cellHeight, shiftX, cell_padding, cols;
+            const compact_mode = is_all_same_aspect_ratio(this.imgs);
+            if (!compact_mode) {
+              cell_padding = 2;
+              const largestDimension = this.imgs.reduce(
+                (acc, current) => Math.max(acc, current.naturalWidth, current.naturalHeight),
+                0
+              );
+              const fakeImgs = [];
+              fakeImgs.length = this.imgs.length;
+              fakeImgs[0] = {
+                naturalWidth: largestDimension,
+                naturalHeight: largestDimension
+              };
+              ({ cellWidth, cellHeight, cols, shiftX } = calculateImageGrid(
+                fakeImgs,
+                dw,
+                dh
+              ));
+            } else {
+              cell_padding = 0;
+              ({ cellWidth, cellHeight, cols, shiftX } = calculateImageGrid(
+                this.imgs,
+                dw,
+                dh
+              ));
+            }
+            let anyHovered = false;
+            this.imageRects = [];
+            for (let i2 = 0; i2 < numImages; i2++) {
+              const img = this.imgs[i2];
+              const row = Math.floor(i2 / cols);
+              const col = i2 % cols;
+              const x2 = col * cellWidth + shiftX;
+              const y2 = row * cellHeight + shiftY;
+              if (!anyHovered) {
+                anyHovered = LiteGraph.isInsideRectangle(
+                  mouse[0],
+                  mouse[1],
+                  x2 + this.pos[0],
+                  y2 + this.pos[1],
+                  cellWidth,
+                  cellHeight
+                );
+                if (anyHovered) {
+                  this.overIndex = i2;
+                  let value3 = 110;
+                  if (canvas.pointer_is_down) {
+                    if (!this.pointerDown || this.pointerDown.index !== i2) {
+                      this.pointerDown = { index: i2, pos: [...mouse] };
+                    }
+                    value3 = 125;
+                  }
+                  ctx.filter = `contrast(${value3}%) brightness(${value3}%)`;
+                  canvas.canvas.style.cursor = "pointer";
+                }
+              }
+              this.imageRects.push([x2, y2, cellWidth, cellHeight]);
+              let wratio = cellWidth / img.width;
+              let hratio = cellHeight / img.height;
+              var ratio = Math.min(wratio, hratio);
+              let imgHeight = ratio * img.height;
+              let imgY = row * cellHeight + shiftY + (cellHeight - imgHeight) / 2;
+              let imgWidth = ratio * img.width;
+              let imgX = col * cellWidth + shiftX + (cellWidth - imgWidth) / 2;
+              ctx.drawImage(
+                img,
+                imgX + cell_padding,
+                imgY + cell_padding,
+                imgWidth - cell_padding * 2,
+                imgHeight - cell_padding * 2
+              );
+              if (!compact_mode) {
+                ctx.strokeStyle = "#8F8F8F";
+                ctx.lineWidth = 1;
+                ctx.strokeRect(
+                  x2 + cell_padding,
+                  y2 + cell_padding,
+                  cellWidth - cell_padding * 2,
+                  cellHeight - cell_padding * 2
+                );
+              }
+              ctx.filter = "none";
+            }
+            if (!anyHovered) {
+              this.pointerDown = null;
+              this.overIndex = null;
+            }
+          } else {
+            let w2 = this.imgs[imageIndex].naturalWidth;
+            let h2 = this.imgs[imageIndex].naturalHeight;
+            const scaleX = dw / w2;
+            const scaleY = dh / h2;
+            const scale = Math.min(scaleX, scaleY, 1);
+            w2 *= scale;
+            h2 *= scale;
+            let x2 = (dw - w2) / 2;
+            let y2 = (dh - h2) / 2 + shiftY;
+            ctx.drawImage(this.imgs[imageIndex], x2, y2, w2, h2);
+            const drawButton = /* @__PURE__ */ __name((x22, y22, sz, text) => {
+              const hovered = LiteGraph.isInsideRectangle(
+                mouse[0],
+                mouse[1],
+                x22 + this.pos[0],
+                y22 + this.pos[1],
+                sz,
+                sz
+              );
+              let fill = "#333";
+              let textFill = "#fff";
+              let isClicking = false;
+              if (hovered) {
+                canvas.canvas.style.cursor = "pointer";
+                if (canvas.pointer_is_down) {
+                  fill = "#1e90ff";
+                  isClicking = true;
+                } else {
+                  fill = "#eee";
+                  textFill = "#000";
+                }
+              } else {
+                this.pointerWasDown = null;
+              }
+              ctx.fillStyle = fill;
+              ctx.beginPath();
+              ctx.roundRect(x22, y22, sz, sz, [4]);
+              ctx.fill();
+              ctx.fillStyle = textFill;
+              ctx.font = "12px Arial";
+              ctx.textAlign = "center";
+              ctx.fillText(text, x22 + 15, y22 + 20);
+              return isClicking;
+            }, "drawButton");
+            if (numImages > 1) {
+              if (drawButton(
+                dw - 40,
+                dh + top - 40,
+                30,
+                `${this.imageIndex + 1}/${numImages}`
+              )) {
+                let i2 = this.imageIndex + 1 >= numImages ? 0 : this.imageIndex + 1;
+                if (!this.pointerDown || !this.pointerDown.index === i2) {
+                  this.pointerDown = { index: i2, pos: [...mouse] };
+                }
+              }
+              if (drawButton(dw - 40, top + 10, 30, `x`)) {
+                if (!this.pointerDown || !this.pointerDown.index === null) {
+                  this.pointerDown = { index: null, pos: [...mouse] };
+                }
+              }
+            }
+          }
+        }
+      }
+    }
+    __name(unsafeDrawBackground, "unsafeDrawBackground");
+    node3.prototype.onDrawBackground = function(ctx) {
+      try {
+        unsafeDrawBackground.call(this, ctx);
+      } catch (error) {
+        console.error("Error drawing node background", error);
+      }
+    };
+  }
+  /**
+   * Adds a handler allowing drag+drop of files onto the window to load workflows
+   */
+  #addDropHandler() {
+    document.addEventListener("drop", async (event2) => {
+      event2.preventDefault();
+      event2.stopPropagation();
+      const n = this.dragOverNode;
+      this.dragOverNode = null;
+      if (n && n.onDragDrop && await n.onDragDrop(event2)) {
+        return;
+      }
+      if (event2.dataTransfer.files.length && event2.dataTransfer.files[0].type !== "image/bmp") {
+        await this.handleFile(event2.dataTransfer.files[0]);
+      } else {
+        const validTypes = ["text/uri-list", "text/x-moz-url"];
+        const match = [...event2.dataTransfer.types].find(
+          (t) => validTypes.find((v2) => t === v2)
+        );
+        if (match) {
+          const uri = event2.dataTransfer.getData(match)?.split("\n")?.[0];
+          if (uri) {
+            await this.handleFile(await (await fetch(uri)).blob());
+          }
+        }
+      }
+    });
+    this.canvasEl.addEventListener("dragleave", async () => {
+      if (this.dragOverNode) {
+        this.dragOverNode = null;
+        this.graph.setDirtyCanvas(false, true);
+      }
+    });
+    this.canvasEl.addEventListener(
+      "dragover",
+      (e) => {
+        this.canvas.adjustMouseEvent(e);
+        const node3 = this.graph.getNodeOnPos(e.canvasX, e.canvasY);
+        if (node3) {
+          if (node3.onDragOver && node3.onDragOver(e)) {
+            this.dragOverNode = node3;
+            requestAnimationFrame(() => {
+              this.graph.setDirtyCanvas(false, true);
+            });
+            return;
+          }
+        }
+        this.dragOverNode = null;
+      },
+      false
+    );
+  }
+  /**
+   * Adds a handler on paste that extracts and loads images or workflows from pasted JSON data
+   */
+  #addPasteHandler() {
+    document.addEventListener("paste", async (e) => {
+      if (this.shiftDown) return;
+      let data24 = e.clipboardData || window.clipboardData;
+      const items2 = data24.items;
+      for (const item2 of items2) {
+        if (item2.type.startsWith("image/")) {
+          var imageNode = null;
+          if (this.canvas.current_node && this.canvas.current_node.is_selected && ComfyApp.isImageNode(this.canvas.current_node)) {
+            imageNode = this.canvas.current_node;
+          }
+          if (!imageNode) {
+            const newNode = LiteGraph.createNode("LoadImage");
+            newNode.pos = [...this.canvas.graph_mouse];
+            imageNode = this.graph.add(newNode);
+            this.graph.change();
+          }
+          const blob = item2.getAsFile();
+          imageNode.pasteFile(blob);
+          return;
+        }
+      }
+      data24 = data24.getData("text/plain");
+      let workflow;
+      try {
+        data24 = data24.slice(data24.indexOf("{"));
+        workflow = JSON.parse(data24);
+      } catch (err) {
+        try {
+          data24 = data24.slice(data24.indexOf("workflow\n"));
+          data24 = data24.slice(data24.indexOf("{"));
+          workflow = JSON.parse(data24);
+        } catch (error) {
+          console.error(error);
+        }
+      }
+      if (workflow && workflow.version && workflow.nodes && workflow.extra) {
+        await this.loadGraphData(workflow);
+      } else {
+        if (e.target instanceof HTMLTextAreaElement && e.target.type === "textarea" || e.target instanceof HTMLInputElement && e.target.type === "text") {
+          return;
+        }
+        this.canvas.pasteFromClipboard();
+      }
+    });
+  }
+  /**
+   * Adds a handler on copy that serializes selected nodes to JSON
+   */
+  #addCopyHandler() {
+    document.addEventListener("copy", (e) => {
+      if (!(e.target instanceof Element)) {
+        return;
+      }
+      if (e.target instanceof HTMLTextAreaElement && e.target.type === "textarea" || e.target instanceof HTMLInputElement && e.target.type === "text") {
+        return;
+      }
+      const isTargetInGraph = e.target.classList.contains("litegraph") || e.target.classList.contains("graph-canvas-container");
+      if (isTargetInGraph && this.canvas.selected_nodes) {
+        this.canvas.copyToClipboard();
+        e.clipboardData.setData("text", " ");
+        e.preventDefault();
+        e.stopImmediatePropagation();
+        return false;
+      }
+    });
+  }
+  /**
+   * Handle mouse
+   *
+   * Move group by header
+   */
+  #addProcessMouseHandler() {
+    const self2 = this;
+    const origProcessMouseDown = LGraphCanvas.prototype.processMouseDown;
+    LGraphCanvas.prototype.processMouseDown = function(e) {
+      if (e.ctrlKey && e.shiftKey && e.buttons) {
+        self2.zoom_drag_start = [e.x, e.y, this.ds.scale];
+        return;
+      }
+      const res = origProcessMouseDown.apply(this, arguments);
+      this.selected_group_moving = false;
+      if (this.selected_group && !this.selected_group_resizing) {
+        var font_size = this.selected_group.font_size || LiteGraph.DEFAULT_GROUP_FONT_SIZE;
+        var height = font_size * 1.4;
+        if (LiteGraph.isInsideRectangle(
+          // @ts-expect-error
+          e.canvasX,
+          // @ts-expect-error
+          e.canvasY,
+          this.selected_group.pos[0],
+          this.selected_group.pos[1],
+          this.selected_group.size[0],
+          height
+        )) {
+          this.selected_group_moving = true;
+        }
+      }
+      return res;
+    };
+    const origProcessMouseMove = LGraphCanvas.prototype.processMouseMove;
+    LGraphCanvas.prototype.processMouseMove = function(e) {
+      if (e.ctrlKey && e.shiftKey && self2.zoom_drag_start) {
+        if (!e.buttons) {
+          self2.zoom_drag_start = null;
+          return;
+        }
+        let deltaY = e.y - self2.zoom_drag_start[1];
+        let startScale = self2.zoom_drag_start[2];
+        let scale = startScale - deltaY / 100;
+        this.ds.changeScale(scale, [
+          self2.zoom_drag_start[0],
+          self2.zoom_drag_start[1]
+        ]);
+        this.graph.change();
+        return;
+      }
+      const orig_selected_group = this.selected_group;
+      if (this.selected_group && !this.selected_group_resizing && !this.selected_group_moving) {
+        this.selected_group = null;
+      }
+      const res = origProcessMouseMove.apply(this, arguments);
+      if (orig_selected_group && !this.selected_group_resizing && !this.selected_group_moving) {
+        this.selected_group = orig_selected_group;
+      }
+      return res;
+    };
+  }
+  /**
+   * Handle keypress
+   *
+   * Ctrl + M mute/unmute selected nodes
+   */
+  #addProcessKeyHandler() {
+    const self2 = this;
+    const origProcessKey = LGraphCanvas.prototype.processKey;
+    LGraphCanvas.prototype.processKey = function(e) {
+      if (!this.graph) {
+        return;
+      }
+      var block_default = false;
+      if (e.target instanceof Element && e.target.localName == "input") {
+        return;
+      }
+      if (e.type == "keydown" && !e.repeat) {
+        if (e.key === "m" && (e.metaKey || e.ctrlKey)) {
+          if (this.selected_nodes) {
+            for (var i2 in this.selected_nodes) {
+              if (this.selected_nodes[i2].mode === 2) {
+                this.selected_nodes[i2].mode = 0;
+              } else {
+                this.selected_nodes[i2].mode = 2;
+              }
+            }
+          }
+          block_default = true;
+        }
+        if (e.key === "b" && (e.metaKey || e.ctrlKey)) {
+          if (this.selected_nodes) {
+            for (var i2 in this.selected_nodes) {
+              if (this.selected_nodes[i2].mode === 4) {
+                this.selected_nodes[i2].mode = 0;
+              } else {
+                this.selected_nodes[i2].mode = 4;
+              }
+            }
+          }
+          block_default = true;
+        }
+        if (e.key === "c" && e.altKey) {
+          if (this.selected_nodes) {
+            for (var i2 in this.selected_nodes) {
+              this.selected_nodes[i2].collapse();
+            }
+          }
+          block_default = true;
+        }
+        if (e.key === "c" && (e.metaKey || e.ctrlKey)) {
+          return true;
+        }
+        if ((e.key === "v" || e.key == "V") && (e.metaKey || e.ctrlKey) && !e.shiftKey) {
+          return true;
+        }
+        if (e.key === "+" && e.altKey) {
+          block_default = true;
+          let scale = this.ds.scale * 1.1;
+          this.ds.changeScale(scale, [
+            this.ds.element.width / 2,
+            this.ds.element.height / 2
+          ]);
+          this.graph.change();
+        }
+        if (e.key === "-" && e.altKey) {
+          block_default = true;
+          let scale = this.ds.scale * 1 / 1.1;
+          this.ds.changeScale(scale, [
+            this.ds.element.width / 2,
+            this.ds.element.height / 2
+          ]);
+          this.graph.change();
+        }
+      }
+      this.graph.change();
+      if (block_default) {
+        e.preventDefault();
+        e.stopImmediatePropagation();
+        return false;
+      }
+      return origProcessKey.apply(this, arguments);
+    };
+  }
+  /**
+   * Draws group header bar
+   */
+  #addDrawGroupsHandler() {
+    const self2 = this;
+    const origDrawGroups = LGraphCanvas.prototype.drawGroups;
+    LGraphCanvas.prototype.drawGroups = function(canvas, ctx) {
+      if (!this.graph) {
+        return;
+      }
+      var groups = this.graph._groups;
+      ctx.save();
+      ctx.globalAlpha = 0.7 * this.editor_alpha;
+      for (var i2 = 0; i2 < groups.length; ++i2) {
+        var group = groups[i2];
+        if (!LiteGraph.overlapBounding(this.visible_area, group._bounding)) {
+          continue;
+        }
+        ctx.fillStyle = group.color || "#335";
+        ctx.strokeStyle = group.color || "#335";
+        var pos2 = group._pos;
+        var size2 = group._size;
+        ctx.globalAlpha = 0.25 * this.editor_alpha;
+        ctx.beginPath();
+        var font_size = group.font_size || LiteGraph.DEFAULT_GROUP_FONT_SIZE;
+        ctx.rect(pos2[0] + 0.5, pos2[1] + 0.5, size2[0], font_size * 1.4);
+        ctx.fill();
+        ctx.globalAlpha = this.editor_alpha;
+      }
+      ctx.restore();
+      const res = origDrawGroups.apply(this, arguments);
+      return res;
+    };
+  }
+  /**
+   * Draws node highlights (executing, drag drop) and progress bar
+   */
+  #addDrawNodeHandler() {
+    const origDrawNodeShape = LGraphCanvas.prototype.drawNodeShape;
+    const self2 = this;
+    LGraphCanvas.prototype.drawNodeShape = function(node3, ctx, size2, fgcolor, bgcolor, selected2, mouse_over) {
+      const res = origDrawNodeShape.apply(this, arguments);
+      const nodeErrors = self2.lastNodeErrors?.[node3.id];
+      let color = null;
+      let lineWidth = 1;
+      if (node3.id === +self2.runningNodeId) {
+        color = "#0f0";
+      } else if (self2.dragOverNode && node3.id === self2.dragOverNode.id) {
+        color = "dodgerblue";
+      } else if (nodeErrors?.errors) {
+        color = "red";
+        lineWidth = 2;
+      } else if (self2.lastExecutionError && +self2.lastExecutionError.node_id === node3.id) {
+        color = "#f0f";
+        lineWidth = 2;
+      }
+      if (color) {
+        const shape = (
+          // @ts-expect-error
+          node3._shape || node3.constructor.shape || LiteGraph.ROUND_SHAPE
+        );
+        ctx.lineWidth = lineWidth;
+        ctx.globalAlpha = 0.8;
+        ctx.beginPath();
+        if (shape == LiteGraph.BOX_SHAPE)
+          ctx.rect(
+            -6,
+            -6 - LiteGraph.NODE_TITLE_HEIGHT,
+            12 + size2[0] + 1,
+            12 + size2[1] + LiteGraph.NODE_TITLE_HEIGHT
+          );
+        else if (shape == LiteGraph.ROUND_SHAPE || shape == LiteGraph.CARD_SHAPE && node3.flags.collapsed)
+          ctx.roundRect(
+            -6,
+            -6 - LiteGraph.NODE_TITLE_HEIGHT,
+            12 + size2[0] + 1,
+            12 + size2[1] + LiteGraph.NODE_TITLE_HEIGHT,
+            this.round_radius * 2
+          );
+        else if (shape == LiteGraph.CARD_SHAPE)
+          ctx.roundRect(
+            -6,
+            -6 - LiteGraph.NODE_TITLE_HEIGHT,
+            12 + size2[0] + 1,
+            12 + size2[1] + LiteGraph.NODE_TITLE_HEIGHT,
+            [this.round_radius * 2, this.round_radius * 2, 2, 2]
+          );
+        else if (shape == LiteGraph.CIRCLE_SHAPE)
+          ctx.arc(
+            size2[0] * 0.5,
+            size2[1] * 0.5,
+            size2[0] * 0.5 + 6,
+            0,
+            Math.PI * 2
+          );
+        ctx.strokeStyle = color;
+        ctx.stroke();
+        ctx.strokeStyle = fgcolor;
+        ctx.globalAlpha = 1;
+      }
+      if (self2.progress && node3.id === +self2.runningNodeId) {
+        ctx.fillStyle = "green";
+        ctx.fillRect(
+          0,
+          0,
+          size2[0] * (self2.progress.value / self2.progress.max),
+          6
+        );
+        ctx.fillStyle = bgcolor;
+      }
+      if (nodeErrors) {
+        ctx.lineWidth = 2;
+        ctx.strokeStyle = "red";
+        for (const error of nodeErrors.errors) {
+          if (error.extra_info && error.extra_info.input_name) {
+            const inputIndex = node3.findInputSlot(error.extra_info.input_name);
+            if (inputIndex !== -1) {
+              let pos2 = node3.getConnectionPos(true, inputIndex);
+              ctx.beginPath();
+              ctx.arc(
+                pos2[0] - node3.pos[0],
+                pos2[1] - node3.pos[1],
+                12,
+                0,
+                2 * Math.PI,
+                false
+              );
+              ctx.stroke();
+            }
+          }
+        }
+      }
+      return res;
+    };
+    const origDrawNode = LGraphCanvas.prototype.drawNode;
+    LGraphCanvas.prototype.drawNode = function(node3, ctx) {
+      var editor_alpha = this.editor_alpha;
+      var old_color = node3.color;
+      var old_bgcolor = node3.bgcolor;
+      if (node3.mode === 2) {
+        this.editor_alpha = 0.4;
+      }
+      if (node3.mode === 4) {
+        node3.bgcolor = "#FF00FF";
+        this.editor_alpha = 0.2;
+      }
+      const adjustColor = /* @__PURE__ */ __name((color) => {
+        return color ? lightenColor(color, 0.5) : color;
+      }, "adjustColor");
+      if (app$1.ui.settings.getSettingValue("Comfy.ColorPalette") === "light") {
+        node3.bgcolor = adjustColor(node3.bgcolor);
+        node3.color = adjustColor(node3.color);
+      }
+      const res = origDrawNode.apply(this, arguments);
+      this.editor_alpha = editor_alpha;
+      node3.color = old_color;
+      node3.bgcolor = old_bgcolor;
+      return res;
+    };
+  }
+  /**
+   * Handles updates from the API socket
+   */
+  #addApiUpdateHandlers() {
+    api.addEventListener(
+      "status",
+      ({ detail }) => {
+        this.ui.setStatus(detail);
+      }
+    );
+    api.addEventListener("progress", ({ detail }) => {
+      if (this.workflowManager.activePrompt?.workflow && this.workflowManager.activePrompt.workflow !== this.workflowManager.activeWorkflow)
+        return;
+      this.progress = detail;
+      this.graph.setDirtyCanvas(true, false);
+    });
+    api.addEventListener("executing", ({ detail }) => {
+      if (this.workflowManager.activePrompt?.workflow && this.workflowManager.activePrompt.workflow !== this.workflowManager.activeWorkflow)
+        return;
+      this.progress = null;
+      this.runningNodeId = detail;
+      this.graph.setDirtyCanvas(true, false);
+      delete this.nodePreviewImages[this.runningNodeId];
+    });
+    api.addEventListener("executed", ({ detail }) => {
+      if (this.workflowManager.activePrompt?.workflow && this.workflowManager.activePrompt.workflow !== this.workflowManager.activeWorkflow)
+        return;
+      const output = this.nodeOutputs[detail.display_node || detail.node];
+      if (detail.merge && output) {
+        for (const k in detail.output ?? {}) {
+          const v2 = output[k];
+          if (v2 instanceof Array) {
+            output[k] = v2.concat(detail.output[k]);
+          } else {
+            output[k] = detail.output[k];
+          }
+        }
+      } else {
+        this.nodeOutputs[detail.display_node || detail.node] = detail.output;
+      }
+      const node3 = this.graph.getNodeById(detail.display_node || detail.node);
+      if (node3) {
+        if (node3.onExecuted)
+          node3.onExecuted(detail.output);
+      }
+    });
+    api.addEventListener("execution_start", ({ detail }) => {
+      this.runningNodeId = null;
+      this.lastExecutionError = null;
+      this.graph._nodes.forEach((node3) => {
+        if (node3.onExecutionStart)
+          node3.onExecutionStart();
+      });
+    });
+    api.addEventListener("execution_error", ({ detail }) => {
+      this.lastExecutionError = detail;
+      showExecutionErrorDialog(detail);
+      this.canvas.draw(true, true);
+    });
+    api.addEventListener("b_preview", ({ detail }) => {
+      const id2 = this.runningNodeId;
+      if (id2 == null) return;
+      const blob = detail;
+      const blobUrl = URL.createObjectURL(blob);
+      this.nodePreviewImages[id2] = [blobUrl];
+    });
+    api.init();
+  }
+  #addKeyboardHandler() {
+    window.addEventListener("keydown", (e) => {
+      this.shiftDown = e.shiftKey;
+    });
+    window.addEventListener("keyup", (e) => {
+      this.shiftDown = e.shiftKey;
+    });
+  }
+  #addConfigureHandler() {
+    const app2 = this;
+    const configure = LGraph.prototype.configure;
+    LGraph.prototype.configure = function() {
+      app2.configuringGraph = true;
+      try {
+        return configure.apply(this, arguments);
+      } finally {
+        app2.configuringGraph = false;
+      }
+    };
+  }
+  #addAfterConfigureHandler() {
+    const app2 = this;
+    const onConfigure = app2.graph.onConfigure;
+    app2.graph.onConfigure = function() {
+      for (const node3 of app2.graph._nodes) {
+        node3.onGraphConfigured?.();
+      }
+      const r = onConfigure?.apply(this, arguments);
+      for (const node3 of app2.graph._nodes) {
+        node3.onAfterGraphConfigured?.();
+      }
+      return r;
+    };
+  }
+  /**
+   * Loads all extensions from the API into the window in parallel
+   */
+  async #loadExtensions() {
+    const extensions = await api.getExtensions();
+    this.logging.addEntry("Comfy.App", "debug", { Extensions: extensions });
+    await __vitePreload(() => import("./index-BD-Ia1C4.js"), true ? __vite__mapDeps([0,1]) : void 0, import.meta.url);
+    await Promise.all(
+      extensions.filter((extension) => !extension.includes("extensions/core")).map(async (ext) => {
+        try {
+          await import(
+            /* @vite-ignore */
+            api.fileURL(ext)
+          );
+        } catch (error) {
+          console.error("Error loading extension", ext, error);
+        }
+      })
+    );
+    try {
+      this.menu.workflows.registerExtension(this);
+    } catch (error) {
+      console.error(error);
+    }
+  }
+  async #migrateSettings() {
+    this.isNewUserSession = true;
+    const settings = Object.keys(this.ui.settings).reduce((p2, n) => {
+      const v2 = localStorage[`Comfy.Settings.${n}`];
+      if (v2) {
+        try {
+          p2[n] = JSON.parse(v2);
+        } catch (error) {
+        }
+      }
+      return p2;
+    }, {});
+    await api.storeSettings(settings);
+  }
+  async #setUser() {
+    const userConfig = await api.getUserConfig();
+    this.storageLocation = userConfig.storage;
+    if (typeof userConfig.migrated == "boolean") {
+      if (!userConfig.migrated && this.storageLocation === "server") {
+        await this.#migrateSettings();
+      }
+      return;
+    }
+    this.multiUserServer = true;
+    let user = localStorage["Comfy.userId"];
+    const users = userConfig.users ?? {};
+    if (!user || !users[user]) {
+      if (this.vueAppReady) useWorkspaceStore().spinner = false;
+      const { UserSelectionScreen } = await __vitePreload(async () => {
+        const { UserSelectionScreen: UserSelectionScreen2 } = await import("./userSelection-CyXKCVy3.js");
+        return { UserSelectionScreen: UserSelectionScreen2 };
+      }, true ? __vite__mapDeps([2,3]) : void 0, import.meta.url);
+      this.ui.menuContainer.style.display = "none";
+      const { userId, username, created: created3 } = await new UserSelectionScreen().show(users, user);
+      this.ui.menuContainer.style.display = "";
+      user = userId;
+      localStorage["Comfy.userName"] = username;
+      localStorage["Comfy.userId"] = user;
+      if (created3) {
+        api.user = user;
+        await this.#migrateSettings();
+      }
+    }
+    api.user = user;
+    this.ui.settings.addSetting({
+      id: "Comfy.SwitchUser",
+      name: "Switch User",
+      type: /* @__PURE__ */ __name((name) => {
+        let currentUser = localStorage["Comfy.userName"];
+        if (currentUser) {
+          currentUser = ` (${currentUser})`;
+        }
+        return $el("tr", [
+          $el("td", [
+            $el("label", {
+              textContent: name
+            })
+          ]),
+          $el("td", [
+            $el("button", {
+              textContent: name + (currentUser ?? ""),
+              onclick: /* @__PURE__ */ __name(() => {
+                delete localStorage["Comfy.userId"];
+                delete localStorage["Comfy.userName"];
+                window.location.reload();
+              }, "onclick")
+            })
+          ])
+        ]);
+      }, "type"),
+      // TODO: Is that the correct default value?
+      defaultValue: void 0
+    });
+  }
+  /**
+   * Set up the app on the page
+   */
+  async setup(canvasEl) {
+    this.canvasEl = canvasEl;
+    await this.#setUser();
+    this.resizeCanvas();
+    await Promise.all([
+      this.workflowManager.loadWorkflows(),
+      this.ui.settings.load()
+    ]);
+    await this.#loadExtensions();
+    addDomClippingSetting();
+    this.#addProcessMouseHandler();
+    this.#addProcessKeyHandler();
+    this.#addConfigureHandler();
+    this.#addApiUpdateHandlers();
+    this.#addRestoreWorkflowView();
+    this.graph = new LGraph();
+    this.#addAfterConfigureHandler();
+    this.canvas = new LGraphCanvas(canvasEl, this.graph);
+    this.ctx = canvasEl.getContext("2d");
+    LiteGraph.alt_drag_do_clone_nodes = true;
+    this.graph.start();
+    this.resizeCanvas();
+    window.addEventListener("resize", () => this.resizeCanvas());
+    const ro = new ResizeObserver(() => this.resizeCanvas());
+    ro.observe(this.bodyTop);
+    ro.observe(this.bodyLeft);
+    ro.observe(this.bodyRight);
+    ro.observe(this.bodyBottom);
+    await this.#invokeExtensionsAsync("init");
+    await this.registerNodes();
+    initWidgets(this);
+    let restored = false;
+    try {
+      const loadWorkflow = /* @__PURE__ */ __name(async (json) => {
+        if (json) {
+          const workflow = JSON.parse(json);
+          const workflowName = getStorageValue("Comfy.PreviousWorkflow");
+          await this.loadGraphData(workflow, true, true, workflowName);
+          return true;
+        }
+      }, "loadWorkflow");
+      const clientId = api.initialClientId ?? api.clientId;
+      restored = clientId && await loadWorkflow(
+        sessionStorage.getItem(`workflow:${clientId}`)
+      ) || await loadWorkflow(localStorage.getItem("workflow"));
+    } catch (err) {
+      console.error("Error loading previous workflow", err);
+    }
+    if (!restored) {
+      await this.loadGraphData();
+    }
+    setInterval(() => {
+      const sortNodes = this.vueAppReady && useSettingStore().get("Comfy.Workflow.SortNodeIdOnSave");
+      const workflow = JSON.stringify(this.graph.serialize({ sortNodes }));
+      localStorage.setItem("workflow", workflow);
+      if (api.clientId) {
+        sessionStorage.setItem(`workflow:${api.clientId}`, workflow);
+      }
+    }, 1e3);
+    this.#addDrawNodeHandler();
+    this.#addDrawGroupsHandler();
+    this.#addDropHandler();
+    this.#addCopyHandler();
+    this.#addPasteHandler();
+    this.#addKeyboardHandler();
+    await this.#invokeExtensionsAsync("setup");
+  }
+  resizeCanvas() {
+    const scale = Math.max(window.devicePixelRatio, 1);
+    this.canvasEl.height = this.canvasEl.width = NaN;
+    const { width: width2, height } = this.canvasEl.getBoundingClientRect();
+    this.canvasEl.width = Math.round(width2 * scale);
+    this.canvasEl.height = Math.round(height * scale);
+    this.canvasEl.getContext("2d").scale(scale, scale);
+    this.canvas?.draw(true, true);
+  }
+  updateVueAppNodeDefs(defs) {
+    const rawDefs = Object.fromEntries(
+      Object.entries(LiteGraph.registered_node_types).map(([name, node3]) => [
+        name,
+        {
+          name,
+          display_name: name,
+          // @ts-expect-error
+          category: node3.category || "__frontend_only__",
+          input: { required: {}, optional: {} },
+          output: [],
+          output_name: [],
+          output_is_list: [],
+          python_module: "custom_nodes.frontend_only",
+          description: `Frontend only node for ${name}`
+        }
+      ])
+    );
+    const allNodeDefs = {
+      ...rawDefs,
+      ...defs,
+      ...SYSTEM_NODE_DEFS
+    };
+    const nodeDefStore = useNodeDefStore();
+    nodeDefStore.updateNodeDefs(Object.values(allNodeDefs));
+    nodeDefStore.updateWidgets(this.widgets);
+  }
+  /**
+   * Registers nodes with the graph
+   */
+  async registerNodes() {
+    const defs = await api.getNodeDefs();
+    await this.registerNodesFromDefs(defs);
+    await this.#invokeExtensionsAsync("registerCustomNodes");
+    if (this.vueAppReady) {
+      this.updateVueAppNodeDefs(defs);
+    }
+  }
+  getWidgetType(inputData, inputName) {
+    const type = inputData[0];
+    if (Array.isArray(type)) {
+      return "COMBO";
+    } else if (`${type}:${inputName}` in this.widgets) {
+      return `${type}:${inputName}`;
+    } else if (type in this.widgets) {
+      return type;
+    } else {
+      return null;
+    }
+  }
+  async registerNodeDef(nodeId, nodeData) {
+    const self2 = this;
+    const node3 = class ComfyNode extends LGraphNode {
+      static {
+        __name(this, "ComfyNode");
+      }
+      static comfyClass = nodeData.name;
+      // TODO: change to "title?" once litegraph.d.ts has been updated
+      static title = nodeData.display_name || nodeData.name;
+      static nodeData = nodeData;
+      static category;
+      constructor(title) {
+        super(title);
+        var inputs = nodeData["input"]["required"];
+        if (nodeData["input"]["optional"] != void 0) {
+          inputs = Object.assign(
+            {},
+            nodeData["input"]["required"],
+            nodeData["input"]["optional"]
+          );
+        }
+        const config = { minWidth: 1, minHeight: 1 };
+        for (const inputName in inputs) {
+          const inputData = inputs[inputName];
+          const type = inputData[0];
+          let widgetCreated = true;
+          const widgetType = self2.getWidgetType(inputData, inputName);
+          if (widgetType) {
+            if (widgetType === "COMBO") {
+              Object.assign(
+                config,
+                self2.widgets.COMBO(this, inputName, inputData, app$1) || {}
+              );
+            } else {
+              Object.assign(
+                config,
+                self2.widgets[widgetType](this, inputName, inputData, app$1) || {}
+              );
+            }
+          } else {
+            this.addInput(inputName, type);
+            widgetCreated = false;
+          }
+          if (widgetCreated && inputData[1]?.forceInput && config?.widget) {
+            if (!config.widget.options) config.widget.options = {};
+            config.widget.options.forceInput = inputData[1].forceInput;
+          }
+          if (widgetCreated && inputData[1]?.defaultInput && config?.widget) {
+            if (!config.widget.options) config.widget.options = {};
+            config.widget.options.defaultInput = inputData[1].defaultInput;
+          }
+        }
+        for (const o in nodeData["output"]) {
+          let output = nodeData["output"][o];
+          if (output instanceof Array) output = "COMBO";
+          const outputName = nodeData["output_name"][o] || output;
+          const outputShape = nodeData["output_is_list"][o] ? LiteGraph.GRID_SHAPE : LiteGraph.CIRCLE_SHAPE;
+          this.addOutput(outputName, output, { shape: outputShape });
+        }
+        const s = this.computeSize();
+        s[0] = Math.max(config.minWidth, s[0] * 1.5);
+        s[1] = Math.max(config.minHeight, s[1]);
+        this.size = s;
+        this.serialize_widgets = true;
+        app$1.#invokeExtensionsAsync("nodeCreated", this);
+      }
+    };
+    node3.prototype.comfyClass = nodeData.name;
+    this.#addNodeContextMenuHandler(node3);
+    this.#addDrawBackgroundHandler(node3);
+    this.#addNodeKeyHandler(node3);
+    await this.#invokeExtensionsAsync("beforeRegisterNodeDef", node3, nodeData);
+    LiteGraph.registerNodeType(nodeId, node3);
+    node3.category = nodeData.category;
+  }
+  async registerNodesFromDefs(defs) {
+    await this.#invokeExtensionsAsync("addCustomNodeDefs", defs);
+    this.widgets = Object.assign(
+      {},
+      ComfyWidgets,
+      ...(await this.#invokeExtensionsAsync("getCustomWidgets")).filter(Boolean)
+    );
+    for (const nodeId in defs) {
+      this.registerNodeDef(nodeId, defs[nodeId]);
+    }
+  }
+  loadTemplateData(templateData) {
+    if (!templateData?.templates) {
+      return;
+    }
+    const old = localStorage.getItem("litegrapheditor_clipboard");
+    var maxY, nodeBottom, node3;
+    for (const template of templateData.templates) {
+      if (!template?.data) {
+        continue;
+      }
+      localStorage.setItem("litegrapheditor_clipboard", template.data);
+      app$1.canvas.pasteFromClipboard();
+      maxY = false;
+      for (const i2 in app$1.canvas.selected_nodes) {
+        node3 = app$1.canvas.selected_nodes[i2];
+        nodeBottom = node3.pos[1] + node3.size[1];
+        if (maxY === false || nodeBottom > maxY) {
+          maxY = nodeBottom;
+        }
+      }
+      app$1.canvas.graph_mouse[1] = maxY + 50;
+    }
+    localStorage.setItem("litegrapheditor_clipboard", old);
+  }
+  showMissingNodesError(missingNodeTypes, hasAddedNodes = true) {
+    if (this.vueAppReady && useSettingStore().get("Comfy.Workflow.ShowMissingNodesWarning")) {
+      showLoadWorkflowWarning({
+        missingNodeTypes,
+        hasAddedNodes,
+        maximizable: true
+      });
+    }
+    this.logging.addEntry("Comfy.App", "warn", {
+      MissingNodes: missingNodeTypes
+    });
+  }
+  showMissingModelsError(missingModels) {
+    if (this.vueAppReady && useSettingStore().get("Comfy.Workflow.ShowMissingModelsWarning")) {
+      showMissingModelsWarning({
+        missingModels,
+        maximizable: true
+      });
+    }
+    this.logging.addEntry("Comfy.App", "warn", {
+      MissingModels: missingModels
+    });
+  }
+  async changeWorkflow(callback, workflow = null) {
+    try {
+      this.workflowManager.activeWorkflow?.changeTracker?.store();
+    } catch (error) {
+      console.error(error);
+    }
+    await callback();
+    try {
+      this.workflowManager.setWorkflow(workflow);
+      this.workflowManager.activeWorkflow?.track();
+    } catch (error) {
+      console.error(error);
+    }
+  }
+  async loadGraphData(graphData, clean = true, restore_view = true, workflow = null) {
+    if (clean !== false) {
+      this.clean();
+    }
+    let reset_invalid_values = false;
+    if (!graphData) {
+      graphData = defaultGraph;
+      reset_invalid_values = true;
+    }
+    if (typeof structuredClone === "undefined") {
+      graphData = JSON.parse(JSON.stringify(graphData));
+    } else {
+      graphData = structuredClone(graphData);
+    }
+    try {
+      this.workflowManager.setWorkflow(workflow);
+    } catch (error) {
+      console.error(error);
+    }
+    if (this.vueAppReady && useSettingStore().get("Comfy.Validation.Workflows")) {
+      const validatedGraphData = await validateComfyWorkflow(
+        graphData,
+        /* onError=*/
+        alert
+      );
+      graphData = validatedGraphData ?? graphData;
+    }
+    const missingNodeTypes = [];
+    const missingModels = [];
+    await this.#invokeExtensionsAsync(
+      "beforeConfigureGraph",
+      graphData,
+      missingNodeTypes
+      // TODO: missingModels
+    );
+    for (let n of graphData.nodes) {
+      if (n.type == "T2IAdapterLoader") n.type = "ControlNetLoader";
+      if (n.type == "ConditioningAverage ") n.type = "ConditioningAverage";
+      if (n.type == "SDV_img2vid_Conditioning")
+        n.type = "SVD_img2vid_Conditioning";
+      if (!(n.type in LiteGraph.registered_node_types)) {
+        missingNodeTypes.push(n.type);
+        n.type = sanitizeNodeName(n.type);
+      }
+    }
+    if (graphData.models && useSettingStore().get("Comfy.Workflow.ShowMissingModelsWarning")) {
+      for (let m of graphData.models) {
+        const models_available = await this.getModelsInFolderCached(m.directory);
+        if (models_available === null) {
+          m.directory_invalid = true;
+          missingModels.push(m);
+        } else if (!models_available.includes(m.name)) {
+          missingModels.push(m);
+        }
+      }
+    }
+    try {
+      this.graph.configure(graphData);
+      if (restore_view && this.enableWorkflowViewRestore.value && graphData.extra?.ds) {
+        this.canvas.ds.offset = graphData.extra.ds.offset;
+        this.canvas.ds.scale = graphData.extra.ds.scale;
+      }
+      try {
+        this.workflowManager.activeWorkflow?.track();
+      } catch (error) {
+      }
+    } catch (error) {
+      let errorHint = [];
+      const filename = error.fileName || (error.stack || "").match(/(\/extensions\/.*\.js)/)?.[1];
+      const pos2 = (filename || "").indexOf("/extensions/");
+      if (pos2 > -1) {
+        errorHint.push(
+          $el("span", {
+            textContent: "This may be due to the following script:"
+          }),
+          $el("br"),
+          $el("span", {
+            style: {
+              fontWeight: "bold"
+            },
+            textContent: filename.substring(pos2)
+          })
+        );
+      }
+      this.ui.dialog.show(
+        $el("div", [
+          $el("p", {
+            textContent: "Loading aborted due to error reloading workflow data"
+          }),
+          $el("pre", {
+            style: { padding: "5px", backgroundColor: "rgba(255,0,0,0.2)" },
+            textContent: error.toString()
+          }),
+          $el("pre", {
+            style: {
+              padding: "5px",
+              color: "#ccc",
+              fontSize: "10px",
+              maxHeight: "50vh",
+              overflow: "auto",
+              backgroundColor: "rgba(0,0,0,0.2)"
+            },
+            textContent: error.stack || "No stacktrace available"
+          }),
+          ...errorHint
+        ]).outerHTML
+      );
+      return;
+    }
+    for (const node3 of this.graph._nodes) {
+      const size2 = node3.computeSize();
+      size2[0] = Math.max(node3.size[0], size2[0]);
+      size2[1] = Math.max(node3.size[1], size2[1]);
+      node3.size = size2;
+      if (node3.widgets) {
+        for (let widget of node3.widgets) {
+          if (node3.type == "KSampler" || node3.type == "KSamplerAdvanced") {
+            if (widget.name == "sampler_name") {
+              if (widget.value.startsWith("sample_")) {
+                widget.value = widget.value.slice(7);
+              }
+            }
+          }
+          if (node3.type == "KSampler" || node3.type == "KSamplerAdvanced" || node3.type == "PrimitiveNode") {
+            if (widget.name == "control_after_generate") {
+              if (widget.value === true) {
+                widget.value = "randomize";
+              } else if (widget.value === false) {
+                widget.value = "fixed";
+              }
+            }
+          }
+          if (reset_invalid_values) {
+            if (widget.type == "combo") {
+              if (!widget.options.values.includes(widget.value) && widget.options.values.length > 0) {
+                widget.value = widget.options.values[0];
+              }
+            }
+          }
+        }
+      }
+      this.#invokeExtensions("loadedGraphNode", node3);
+    }
+    if (missingNodeTypes.length) {
+      this.showMissingNodesError(missingNodeTypes);
+    }
+    if (missingModels.length) {
+      this.showMissingModelsError(missingModels);
+    }
+    await this.#invokeExtensionsAsync("afterConfigureGraph", missingNodeTypes);
+    requestAnimationFrame(() => {
+      this.graph.setDirtyCanvas(true, true);
+    });
+  }
+  /**
+   * Converts the current graph workflow for sending to the API
+   * @returns The workflow and node links
+   */
+  async graphToPrompt(graph = this.graph, clean = true) {
+    for (const outerNode of this.graph.computeExecutionOrder(false)) {
+      if (outerNode.widgets) {
+        for (const widget of outerNode.widgets) {
+          widget.beforeQueued?.();
+        }
+      }
+      const innerNodes = outerNode.getInnerNodes ? outerNode.getInnerNodes() : [outerNode];
+      for (const node3 of innerNodes) {
+        if (node3.isVirtualNode) {
+          if (node3.applyToGraph) {
+            node3.applyToGraph();
+          }
+        }
+      }
+    }
+    const sortNodes = this.vueAppReady && useSettingStore().get("Comfy.Workflow.SortNodeIdOnSave");
+    const workflow = graph.serialize({ sortNodes });
+    const output = {};
+    for (const outerNode of graph.computeExecutionOrder(false)) {
+      const skipNode = outerNode.mode === 2 || outerNode.mode === 4;
+      const innerNodes = !skipNode && outerNode.getInnerNodes ? outerNode.getInnerNodes() : [outerNode];
+      for (const node3 of innerNodes) {
+        if (node3.isVirtualNode) {
+          continue;
+        }
+        if (node3.mode === 2 || node3.mode === 4) {
+          continue;
+        }
+        const inputs = {};
+        const widgets = node3.widgets;
+        if (widgets) {
+          for (const i2 in widgets) {
+            const widget = widgets[i2];
+            if (!widget.options || widget.options.serialize !== false) {
+              inputs[widget.name] = widget.serializeValue ? await widget.serializeValue(node3, i2) : widget.value;
+            }
+          }
+        }
+        for (let i2 in node3.inputs) {
+          let parent = node3.getInputNode(i2);
+          if (parent) {
+            let link = node3.getInputLink(i2);
+            while (parent.mode === 4 || parent.isVirtualNode) {
+              let found = false;
+              if (parent.isVirtualNode) {
+                link = parent.getInputLink(link.origin_slot);
+                if (link) {
+                  parent = parent.getInputNode(link.target_slot);
+                  if (parent) {
+                    found = true;
+                  }
+                }
+              } else if (link && parent.mode === 4) {
+                let all_inputs = [link.origin_slot];
+                if (parent.inputs) {
+                  all_inputs = all_inputs.concat(Object.keys(parent.inputs));
+                  for (let parent_input in all_inputs) {
+                    parent_input = all_inputs[parent_input];
+                    if (parent.inputs[parent_input]?.type === node3.inputs[i2].type) {
+                      link = parent.getInputLink(parent_input);
+                      if (link) {
+                        parent = parent.getInputNode(parent_input);
+                      }
+                      found = true;
+                      break;
+                    }
+                  }
+                }
+              }
+              if (!found) {
+                break;
+              }
+            }
+            if (link) {
+              if (parent?.updateLink) {
+                link = parent.updateLink(link);
+              }
+              if (link) {
+                inputs[node3.inputs[i2].name] = [
+                  String(link.origin_id),
+                  parseInt(link.origin_slot)
+                ];
+              }
+            }
+          }
+        }
+        let node_data = {
+          inputs,
+          class_type: node3.comfyClass
+        };
+        if (this.ui.settings.getSettingValue("Comfy.DevMode")) {
+          node_data["_meta"] = {
+            title: node3.title
+          };
+        }
+        output[String(node3.id)] = node_data;
+      }
+    }
+    if (clean) {
+      for (const o in output) {
+        for (const i2 in output[o].inputs) {
+          if (Array.isArray(output[o].inputs[i2]) && output[o].inputs[i2].length === 2 && !output[output[o].inputs[i2][0]]) {
+            delete output[o].inputs[i2];
+          }
+        }
+      }
+    }
+    return { workflow, output };
+  }
+  #formatPromptError(error) {
+    if (error == null) {
+      return "(unknown error)";
+    } else if (typeof error === "string") {
+      return error;
+    } else if (error.stack && error.message) {
+      return error.toString();
+    } else if (error.response) {
+      let message3 = error.response.error.message;
+      if (error.response.error.details)
+        message3 += ": " + error.response.error.details;
+      for (const [nodeID, nodeError] of Object.entries(
+        error.response.node_errors
+      )) {
+        message3 += "\n" + nodeError.class_type + ":";
+        for (const errorReason of nodeError.errors) {
+          message3 += "\n    - " + errorReason.message + ": " + errorReason.details;
+        }
+      }
+      return message3;
+    }
+    return "(unknown error)";
+  }
+  async queuePrompt(number2, batchCount = 1) {
+    this.#queueItems.push({ number: number2, batchCount });
+    if (this.#processingQueue) {
+      return;
+    }
+    this.#processingQueue = true;
+    this.lastNodeErrors = null;
+    try {
+      while (this.#queueItems.length) {
+        ;
+        ({ number: number2, batchCount } = this.#queueItems.pop());
+        for (let i2 = 0; i2 < batchCount; i2++) {
+          const p2 = await this.graphToPrompt();
+          try {
+            const res = await api.queuePrompt(number2, p2);
+            this.lastNodeErrors = res.node_errors;
+            if (this.lastNodeErrors.length > 0) {
+              this.canvas.draw(true, true);
+            } else {
+              try {
+                this.workflowManager.storePrompt({
+                  id: res.prompt_id,
+                  nodes: Object.keys(p2.output)
+                });
+              } catch (error) {
+              }
+            }
+          } catch (error) {
+            const formattedError = this.#formatPromptError(error);
+            this.ui.dialog.show(formattedError);
+            if (error.response) {
+              this.lastNodeErrors = error.response.node_errors;
+              this.canvas.draw(true, true);
+            }
+            break;
+          }
+          for (const n of p2.workflow.nodes) {
+            const node3 = this.graph.getNodeById(n.id);
+            if (node3.widgets) {
+              for (const widget of node3.widgets) {
+                if (widget.afterQueued) {
+                  widget.afterQueued();
+                }
+              }
+            }
+          }
+          this.canvas.draw(true, true);
+          await this.ui.queue.update();
+        }
+      }
+    } finally {
+      this.#processingQueue = false;
+    }
+    api.dispatchEvent(
+      new CustomEvent("promptQueued", { detail: { number: number2, batchCount } })
+    );
+    return !this.lastNodeErrors;
+  }
+  showErrorOnFileLoad(file) {
+    this.ui.dialog.show(
+      $el("div", [
+        $el("p", { textContent: `Unable to find workflow in ${file.name}` })
+      ]).outerHTML
+    );
+  }
+  /**
+   * Loads workflow data from the specified file
+   * @param {File} file
+   */
+  async handleFile(file) {
+    const removeExt = /* @__PURE__ */ __name((f) => {
+      if (!f) return f;
+      const p2 = f.lastIndexOf(".");
+      if (p2 === -1) return f;
+      return f.substring(0, p2);
+    }, "removeExt");
+    const fileName = removeExt(file.name);
+    if (file.type === "image/png") {
+      const pngInfo = await getPngMetadata(file);
+      if (pngInfo?.workflow) {
+        await this.loadGraphData(
+          JSON.parse(pngInfo.workflow),
+          true,
+          true,
+          fileName
+        );
+      } else if (pngInfo?.prompt) {
+        this.loadApiJson(JSON.parse(pngInfo.prompt), fileName);
+      } else if (pngInfo?.parameters) {
+        this.changeWorkflow(() => {
+          importA1111(this.graph, pngInfo.parameters);
+        }, fileName);
+      } else {
+        this.showErrorOnFileLoad(file);
+      }
+    } else if (file.type === "image/webp") {
+      const pngInfo = await getWebpMetadata(file);
+      const workflow = pngInfo?.workflow || pngInfo?.Workflow;
+      const prompt2 = pngInfo?.prompt || pngInfo?.Prompt;
+      if (workflow) {
+        this.loadGraphData(JSON.parse(workflow), true, true, fileName);
+      } else if (prompt2) {
+        this.loadApiJson(JSON.parse(prompt2), fileName);
+      } else {
+        this.showErrorOnFileLoad(file);
+      }
+    } else if (file.type === "audio/flac" || file.type === "audio/x-flac") {
+      const pngInfo = await getFlacMetadata(file);
+      const workflow = pngInfo?.workflow || pngInfo?.Workflow;
+      const prompt2 = pngInfo?.prompt || pngInfo?.Prompt;
+      if (workflow) {
+        this.loadGraphData(JSON.parse(workflow), true, true, fileName);
+      } else if (prompt2) {
+        this.loadApiJson(JSON.parse(prompt2), fileName);
+      } else {
+        this.showErrorOnFileLoad(file);
+      }
+    } else if (file.type === "application/json" || file.name?.endsWith(".json")) {
+      const reader = new FileReader();
+      reader.onload = async () => {
+        const readerResult = reader.result;
+        const jsonContent = JSON.parse(readerResult);
+        if (jsonContent?.templates) {
+          this.loadTemplateData(jsonContent);
+        } else if (this.isApiJson(jsonContent)) {
+          this.loadApiJson(jsonContent, fileName);
+        } else {
+          await this.loadGraphData(
+            JSON.parse(readerResult),
+            true,
+            false,
+            fileName
+          );
+        }
+      };
+      reader.readAsText(file);
+    } else if (file.name?.endsWith(".latent") || file.name?.endsWith(".safetensors")) {
+      const info = await getLatentMetadata(file);
+      if (info.workflow) {
+        await this.loadGraphData(
+          // @ts-expect-error
+          JSON.parse(info.workflow),
+          true,
+          true,
+          fileName
+        );
+      } else if (info.prompt) {
+        this.loadApiJson(JSON.parse(info.prompt));
+      } else {
+        this.showErrorOnFileLoad(file);
+      }
+    } else {
+      this.showErrorOnFileLoad(file);
+    }
+  }
+  isApiJson(data24) {
+    return Object.values(data24).every((v2) => v2.class_type);
+  }
+  loadApiJson(apiData, fileName) {
+    const missingNodeTypes = Object.values(apiData).filter(
+      // @ts-expect-error
+      (n) => !LiteGraph.registered_node_types[n.class_type]
+    );
+    if (missingNodeTypes.length) {
+      this.showMissingNodesError(
+        // @ts-expect-error
+        missingNodeTypes.map((t) => t.class_type),
+        false
+      );
+      return;
+    }
+    const ids = Object.keys(apiData);
+    app$1.graph.clear();
+    for (const id2 of ids) {
+      const data24 = apiData[id2];
+      const node3 = LiteGraph.createNode(data24.class_type);
+      node3.id = isNaN(+id2) ? id2 : +id2;
+      node3.title = data24._meta?.title ?? node3.title;
+      app$1.graph.add(node3);
+    }
+    this.changeWorkflow(() => {
+      for (const id2 of ids) {
+        const data24 = apiData[id2];
+        const node3 = app$1.graph.getNodeById(Number.parseInt(id2));
+        for (const input in data24.inputs ?? {}) {
+          const value3 = data24.inputs[input];
+          if (value3 instanceof Array) {
+            const [fromId, fromSlot] = value3;
+            const fromNode = app$1.graph.getNodeById(fromId);
+            let toSlot = node3.inputs?.findIndex((inp) => inp.name === input);
+            if (toSlot == null || toSlot === -1) {
+              try {
+                const widget = node3.widgets?.find((w2) => w2.name === input);
+                if (widget && node3.convertWidgetToInput?.(widget)) {
+                  toSlot = node3.inputs?.length - 1;
+                }
+              } catch (error) {
+              }
+            }
+            if (toSlot != null || toSlot !== -1) {
+              fromNode.connect(fromSlot, node3, toSlot);
+            }
+          } else {
+            const widget = node3.widgets?.find((w2) => w2.name === input);
+            if (widget) {
+              widget.value = value3;
+              widget.callback?.(value3);
+            }
+          }
+        }
+      }
+      app$1.graph.arrange();
+    }, fileName);
+    for (const id2 of ids) {
+      const data24 = apiData[id2];
+      const node3 = app$1.graph.getNodeById(Number.parseInt(id2));
+      for (const input in data24.inputs ?? {}) {
+        const value3 = data24.inputs[input];
+        if (value3 instanceof Array) {
+          const [fromId, fromSlot] = value3;
+          const fromNode = app$1.graph.getNodeById(fromId);
+          let toSlot = node3.inputs?.findIndex((inp) => inp.name === input);
+          if (toSlot == null || toSlot === -1) {
+            try {
+              const widget = node3.widgets?.find((w2) => w2.name === input);
+              if (widget && node3.convertWidgetToInput?.(widget)) {
+                toSlot = node3.inputs?.length - 1;
+              }
+            } catch (error) {
+            }
+          }
+          if (toSlot != null || toSlot !== -1) {
+            fromNode.connect(fromSlot, node3, toSlot);
+          }
+        } else {
+          const widget = node3.widgets?.find((w2) => w2.name === input);
+          if (widget) {
+            widget.value = value3;
+            widget.callback?.(value3);
+          }
+        }
+      }
+    }
+    app$1.graph.arrange();
+  }
+  /**
+   * Gets the list of model names in a folder, using a temporary local cache
+   */
+  async getModelsInFolderCached(folder) {
+    if (folder in this.modelsInFolderCache) {
+      return this.modelsInFolderCache[folder];
+    }
+    const models = await api.getModels(folder);
+    this.modelsInFolderCache[folder] = models;
+    return models;
+  }
+  /**
+   * Registers a Comfy web extension with the app
+   * @param {ComfyExtension} extension
+   */
+  registerExtension(extension) {
+    if (!extension.name) {
+      throw new Error("Extensions must have a 'name' property.");
+    }
+    if (this.extensions.find((ext) => ext.name === extension.name)) {
+      throw new Error(`Extension named '${extension.name}' already registered.`);
+    }
+    this.extensions.push(extension);
+  }
+  /**
+   * Refresh combo list on whole nodes
+   */
+  async refreshComboInNodes() {
+    const requestToastMessage = {
+      severity: "info",
+      summary: "Update",
+      detail: "Update requested"
+    };
+    if (this.vueAppReady) useToastStore().add(requestToastMessage);
+    this.modelsInFolderCache = {};
+    const defs = await api.getNodeDefs();
+    for (const nodeId in defs) {
+      this.registerNodeDef(nodeId, defs[nodeId]);
+    }
+    for (let nodeNum in this.graph._nodes) {
+      const node3 = this.graph._nodes[nodeNum];
+      const def2 = defs[node3.type];
+      node3.refreshComboInNode?.(defs);
+      if (!def2) continue;
+      for (const widgetNum in node3.widgets) {
+        const widget = node3.widgets[widgetNum];
+        if (widget.type == "combo" && def2["input"]["required"][widget.name] !== void 0) {
+          widget.options.values = def2["input"]["required"][widget.name][0];
+          if (widget.name != "image" && !widget.options.values.includes(widget.value)) {
+            widget.value = widget.options.values[0];
+            widget.callback(widget.value);
+          }
+        }
+      }
+    }
+    await this.#invokeExtensionsAsync("refreshComboInNodes", defs);
+    if (this.vueAppReady) {
+      this.updateVueAppNodeDefs(defs);
+      useToastStore().remove(requestToastMessage);
+      useToastStore().add({
+        severity: "success",
+        summary: "Updated",
+        detail: "Node definitions updated",
+        life: 1e3
+      });
+    }
+  }
+  resetView() {
+    app$1.canvas.ds.scale = 1;
+    app$1.canvas.ds.offset = [0, 0];
+    app$1.graph.setDirtyCanvas(true, true);
+  }
+  /**
+   * Clean current state
+   */
+  clean() {
+    this.nodeOutputs = {};
+    this.nodePreviewImages = {};
+    this.lastNodeErrors = null;
+    this.lastExecutionError = null;
+    this.runningNodeId = null;
+  }
+  addNodeOnGraph(nodeDef, options3 = {}) {
+    const node3 = LiteGraph.createNode(
+      nodeDef.name,
+      nodeDef.display_name,
+      options3
+    );
+    this.graph.add(node3);
+    return node3;
+  }
+  clientPosToCanvasPos(pos2) {
+    const rect = this.canvasContainer.getBoundingClientRect();
+    const containerOffsets = [rect.left, rect.top];
+    return _.zip(pos2, this.canvas.ds.offset, containerOffsets).map(
+      ([p2, o1, o2]) => (p2 - o2) / this.canvas.ds.scale - o1
+    );
+  }
+  canvasPosToClientPos(pos2) {
+    const rect = this.canvasContainer.getBoundingClientRect();
+    const containerOffsets = [rect.left, rect.top];
+    return _.zip(pos2, this.canvas.ds.offset, containerOffsets).map(
+      ([p2, o1, o2]) => (p2 + o1) * this.canvas.ds.scale + o2
+    );
+  }
+  getCanvasCenter() {
+    const dpi = Math.max(window.devicePixelRatio ?? 1, 1);
+    const [x2, y2, w2, h2] = app$1.canvas.ds.visible_area;
+    return [x2 + w2 / dpi / 2, y2 + h2 / dpi / 2];
+  }
+  goToNode(nodeId) {
+    const graphNode = this.graph.getNodeById(nodeId);
+    if (!graphNode) return;
+    this.canvas.centerOnNode(graphNode);
+  }
+}
+const app$1 = new ComfyApp();
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.app = window.comfyAPI.app || {};
+window.comfyAPI.app.ANIM_PREVIEW_WIDGET = ANIM_PREVIEW_WIDGET;
+window.comfyAPI.app.ComfyApp = ComfyApp;
+window.comfyAPI.app.app = app$1;
+const _withScopeId$d = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-8ac76bc5"), n = n(), popScopeId(), n), "_withScopeId$d");
+const _hoisted_1$B = { class: "editable-text" };
+const _hoisted_2$r = { key: 0 };
+const _sfc_main$r = /* @__PURE__ */ defineComponent({
+  __name: "EditableText",
+  props: {
+    modelValue: {},
+    isEditing: { type: Boolean, default: false }
+  },
+  emits: ["update:modelValue", "edit"],
+  setup(__props, { emit: __emit }) {
+    const props = __props;
+    const emit2 = __emit;
+    const inputValue2 = ref(props.modelValue);
+    const isEditingFinished = ref(false);
+    const inputRef = ref(null);
+    const finishEditing = /* @__PURE__ */ __name(() => {
+      if (isEditingFinished.value) {
+        return;
+      }
+      isEditingFinished.value = true;
+      emit2("edit", inputValue2.value);
+    }, "finishEditing");
+    watch(
+      () => props.isEditing,
+      (newVal) => {
+        if (newVal) {
+          inputValue2.value = props.modelValue;
+          isEditingFinished.value = false;
+          nextTick(() => {
+            if (!inputRef.value) return;
+            const fileName = inputValue2.value.includes(".") ? inputValue2.value.split(".").slice(0, -1).join(".") : inputValue2.value;
+            const start2 = 0;
+            const end = fileName.length;
+            const inputElement = inputRef.value.$el;
+            inputElement.setSelectionRange(start2, end);
+          });
+        }
+      },
+      { immediate: true }
+    );
+    const vFocus = {
+      mounted: /* @__PURE__ */ __name((el) => el.focus(), "mounted")
+    };
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", _hoisted_1$B, [
+        !props.isEditing ? (openBlock(), createElementBlock("span", _hoisted_2$r, toDisplayString$1(_ctx.modelValue), 1)) : withDirectives((openBlock(), createBlock(unref(script$O), {
+          key: 1,
+          type: "text",
+          size: "small",
+          fluid: "",
+          modelValue: inputValue2.value,
+          "onUpdate:modelValue": _cache[0] || (_cache[0] = ($event) => inputValue2.value = $event),
+          ref_key: "inputRef",
+          ref: inputRef,
+          onKeyup: withKeys(finishEditing, ["enter"]),
+          onClick: _cache[1] || (_cache[1] = withModifiers(() => {
+          }, ["stop"])),
+          pt: {
+            root: {
+              onBlur: finishEditing
+            }
+          }
+        }, null, 8, ["modelValue", "pt"])), [
+          [vFocus]
+        ])
+      ]);
+    };
+  }
+});
+const EditableText = /* @__PURE__ */ _export_sfc(_sfc_main$r, [["__scopeId", "data-v-8ac76bc5"]]);
+const _sfc_main$q = /* @__PURE__ */ defineComponent({
+  __name: "NodeTitleEditor",
+  setup(__props) {
+    const settingStore = useSettingStore();
+    const showInput = ref(false);
+    const editedTitle = ref("");
+    const inputStyle = ref({
+      position: "fixed",
+      left: "0px",
+      top: "0px",
+      width: "200px",
+      height: "20px"
+    });
+    const currentNode = ref(null);
+    const onEdit = /* @__PURE__ */ __name((newValue) => {
+      if (currentNode.value && newValue.trim() !== "") {
+        currentNode.value.title = newValue.trim();
+        app$1.graph.setDirtyCanvas(true, true);
+      }
+      showInput.value = false;
+    }, "onEdit");
+    const extension = {
+      name: "Comfy.NodeTitleEditor",
+      nodeCreated(node3) {
+        const originalCallback = node3.onNodeTitleDblClick;
+        node3.onNodeTitleDblClick = function(e, ...args) {
+          if (!settingStore.get("Comfy.Node.DoubleClickTitleToEdit")) {
+            return;
+          }
+          currentNode.value = this;
+          editedTitle.value = this.title;
+          showInput.value = true;
+          const isCollapsed = node3.flags?.collapsed;
+          const [x1, y1, x2, y2] = this.getBounding();
+          const [nodeWidth, nodeHeight] = this.size;
+          const canvasWidth = (
+            // @ts-expect-error Remove after collapsed_width is exposed in LiteGraph
+            isCollapsed && node3._collapsed_width ? node3._collapsed_width : nodeWidth
+          );
+          const canvasHeight = LiteGraph.NODE_TITLE_HEIGHT;
+          const [left, top] = app$1.canvasPosToClientPos([x1, y1]);
+          inputStyle.value.left = `${left}px`;
+          inputStyle.value.top = `${top}px`;
+          const width2 = canvasWidth * app$1.canvas.ds.scale;
+          const height = canvasHeight * app$1.canvas.ds.scale;
+          inputStyle.value.width = `${width2}px`;
+          inputStyle.value.height = `${height}px`;
+          if (typeof originalCallback === "function") {
+            originalCallback.call(this, e, ...args);
+          }
+        };
+      }
+    };
+    onMounted(() => {
+      app$1.registerExtension(extension);
+    });
+    return (_ctx, _cache) => {
+      return showInput.value ? (openBlock(), createElementBlock("div", {
+        key: 0,
+        class: "node-title-editor",
+        style: normalizeStyle(inputStyle.value)
+      }, [
+        createVNode(EditableText, {
+          isEditing: showInput.value,
+          modelValue: editedTitle.value,
+          onEdit
+        }, null, 8, ["isEditing", "modelValue"])
+      ], 4)) : createCommentVNode("", true);
+    };
+  }
+});
+const NodeTitleEditor = /* @__PURE__ */ _export_sfc(_sfc_main$q, [["__scopeId", "data-v-77799b26"]]);
+var theme$e = /* @__PURE__ */ __name(function theme23(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-overlaybadge {\n    position: relative;\n}\n\n.p-overlaybadge .p-badge {\n    position: absolute;\n    top: 0;\n    right: 0;\n    transform: translate(50%, -50%);\n    transform-origin: 100% 0;\n    margin: 0;\n    outline-width: ".concat(dt3("overlaybadge.outline.width"), ";\n    outline-style: solid;\n    outline-color: ").concat(dt3("overlaybadge.outline.color"), ";\n}\n");
+}, "theme");
+var classes$f = {
+  root: "p-overlaybadge"
+};
+var OverlayBadgeStyle = BaseStyle.extend({
+  name: "overlaybadge",
+  theme: theme$e,
+  classes: classes$f
+});
+var script$1$f = {
+  name: "OverlayBadge",
+  "extends": script$K,
+  style: OverlayBadgeStyle,
+  provide: /* @__PURE__ */ __name(function provide24() {
+    return {
+      $pcOverlayBadge: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$q = {
+  name: "OverlayBadge",
+  "extends": script$1$f,
+  inheritAttrs: false,
+  components: {
+    Badge: script$K
+  }
+};
+function render$p(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_Badge = resolveComponent("Badge");
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root")
+  }, _ctx.ptmi("root")), [renderSlot(_ctx.$slots, "default"), createVNode(_component_Badge, mergeProps(_ctx.$props, {
+    pt: _ctx.ptm("pcBadge")
+  }), null, 16, ["pt"])], 16);
+}
+__name(render$p, "render$p");
+script$q.render = render$p;
+const _sfc_main$p = /* @__PURE__ */ defineComponent({
+  __name: "SidebarIcon",
+  props: {
+    icon: String,
+    selected: Boolean,
+    tooltip: {
+      type: String,
+      default: ""
+    },
+    class: {
+      type: String,
+      default: ""
+    },
+    iconBadge: {
+      type: [String, Function],
+      default: ""
+    }
+  },
+  emits: ["click"],
+  setup(__props, { emit: __emit }) {
+    const props = __props;
+    const emit2 = __emit;
+    const overlayValue = computed(
+      () => typeof props.iconBadge === "function" ? props.iconBadge() || "" : props.iconBadge
+    );
+    const shouldShowBadge = computed(() => !!overlayValue.value);
+    return (_ctx, _cache) => {
+      const _directive_tooltip = resolveDirective("tooltip");
+      return withDirectives((openBlock(), createBlock(unref(script$J), {
+        class: normalizeClass(props.class),
+        text: "",
+        pt: {
+          root: `side-bar-button ${props.selected ? "p-button-primary side-bar-button-selected" : "p-button-secondary"}`
+        },
+        onClick: _cache[0] || (_cache[0] = ($event) => emit2("click", $event))
+      }, {
+        icon: withCtx(() => [
+          shouldShowBadge.value ? (openBlock(), createBlock(unref(script$q), {
+            key: 0,
+            value: overlayValue.value
+          }, {
+            default: withCtx(() => [
+              createBaseVNode("i", {
+                class: normalizeClass(props.icon + " side-bar-button-icon")
+              }, null, 2)
+            ]),
+            _: 1
+          }, 8, ["value"])) : (openBlock(), createElementBlock("i", {
+            key: 1,
+            class: normalizeClass(props.icon + " side-bar-button-icon")
+          }, null, 2))
+        ]),
+        _: 1
+      }, 8, ["class", "pt"])), [
+        [_directive_tooltip, { value: props.tooltip, showDelay: 300, hideDelay: 300 }]
+      ]);
+    };
+  }
+});
+const SidebarIcon = /* @__PURE__ */ _export_sfc(_sfc_main$p, [["__scopeId", "data-v-4f2f01b3"]]);
+const _sfc_main$o = /* @__PURE__ */ defineComponent({
+  __name: "SidebarThemeToggleIcon",
+  setup(__props) {
+    const previousDarkTheme = ref("dark");
+    const currentTheme = computed(() => useSettingStore().get("Comfy.ColorPalette"));
+    const isDarkMode = computed(() => currentTheme.value !== "light");
+    const icon2 = computed(() => isDarkMode.value ? "pi pi-moon" : "pi pi-sun");
+    const toggleTheme = /* @__PURE__ */ __name(() => {
+      if (isDarkMode.value) {
+        previousDarkTheme.value = currentTheme.value;
+        useSettingStore().set("Comfy.ColorPalette", "light");
+      } else {
+        useSettingStore().set("Comfy.ColorPalette", previousDarkTheme.value);
+      }
+    }, "toggleTheme");
+    return (_ctx, _cache) => {
+      return openBlock(), createBlock(SidebarIcon, {
+        icon: icon2.value,
+        onClick: toggleTheme,
+        tooltip: _ctx.$t("sideToolbar.themeToggle"),
+        class: "comfy-vue-theme-toggle"
+      }, null, 8, ["icon", "tooltip"]);
+    };
+  }
+});
+const _sfc_main$n = /* @__PURE__ */ defineComponent({
+  __name: "SidebarSettingsToggleIcon",
+  setup(__props) {
+    const dialogStore = useDialogStore();
+    const showSetting = /* @__PURE__ */ __name(() => {
+      dialogStore.showDialog({
+        headerComponent: SettingDialogHeader,
+        component: SettingDialogContent
+      });
+    }, "showSetting");
+    return (_ctx, _cache) => {
+      return openBlock(), createBlock(SidebarIcon, {
+        icon: "pi pi-cog",
+        onClick: showSetting,
+        tooltip: _ctx.$t("settings")
+      }, null, 8, ["tooltip"]);
+    };
+  }
+});
+const _withScopeId$c = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-ed7a1148"), n = n(), popScopeId(), n), "_withScopeId$c");
+const _hoisted_1$A = { class: "side-tool-bar-end" };
+const _hoisted_2$q = {
+  key: 0,
+  class: "sidebar-content-container"
+};
+const _sfc_main$m = /* @__PURE__ */ defineComponent({
+  __name: "SideToolbar",
+  setup(__props) {
+    const workspaceStore = useWorkspaceStore();
+    const settingStore = useSettingStore();
+    const teleportTarget = computed(
+      () => settingStore.get("Comfy.Sidebar.Location") === "left" ? ".comfyui-body-left" : ".comfyui-body-right"
+    );
+    const isSmall = computed(
+      () => settingStore.get("Comfy.Sidebar.Size") === "small"
+    );
+    const tabs = computed(() => workspaceStore.getSidebarTabs());
+    const selectedTab = computed(() => {
+      const tabId = workspaceStore.activeSidebarTab;
+      return tabs.value.find((tab) => tab.id === tabId) || null;
+    });
+    const mountCustomTab = /* @__PURE__ */ __name((tab, el) => {
+      tab.render(el);
+    }, "mountCustomTab");
+    const onTabClick = /* @__PURE__ */ __name((item2) => {
+      workspaceStore.updateActiveSidebarTab(
+        workspaceStore.activeSidebarTab === item2.id ? null : item2.id
+      );
+    }, "onTabClick");
+    onBeforeUnmount(() => {
+      tabs.value.forEach((tab) => {
+        if (tab.type === "custom" && tab.destroy) {
+          tab.destroy();
+        }
+      });
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock(Fragment, null, [
+        (openBlock(), createBlock(Teleport, { to: teleportTarget.value }, [
+          createBaseVNode("nav", {
+            class: normalizeClass("side-tool-bar-container" + (isSmall.value ? " small-sidebar" : ""))
+          }, [
+            (openBlock(true), createElementBlock(Fragment, null, renderList(tabs.value, (tab) => {
+              return openBlock(), createBlock(SidebarIcon, {
+                key: tab.id,
+                icon: tab.icon,
+                iconBadge: tab.iconBadge,
+                tooltip: tab.tooltip,
+                selected: tab === selectedTab.value,
+                class: normalizeClass(tab.id + "-tab-button"),
+                onClick: /* @__PURE__ */ __name(($event) => onTabClick(tab), "onClick")
+              }, null, 8, ["icon", "iconBadge", "tooltip", "selected", "class", "onClick"]);
+            }), 128)),
+            createBaseVNode("div", _hoisted_1$A, [
+              createVNode(_sfc_main$o),
+              createVNode(_sfc_main$n)
+            ])
+          ], 2)
+        ], 8, ["to"])),
+        selectedTab.value ? (openBlock(), createElementBlock("div", _hoisted_2$q, [
+          selectedTab.value.type === "vue" ? (openBlock(), createBlock(resolveDynamicComponent(selectedTab.value.component), { key: 0 })) : (openBlock(), createElementBlock("div", {
+            key: 1,
+            ref: /* @__PURE__ */ __name((el) => {
+              if (el)
+                mountCustomTab(
+                  selectedTab.value,
+                  el
+                );
+            }, "ref")
+          }, null, 512))
+        ])) : createCommentVNode("", true)
+      ], 64);
+    };
+  }
+});
+const SideToolbar = /* @__PURE__ */ _export_sfc(_sfc_main$m, [["__scopeId", "data-v-ed7a1148"]]);
+var theme$d = /* @__PURE__ */ __name(function theme24(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-splitter {\n    display: flex;\n    flex-wrap: nowrap;\n    border: 1px solid ".concat(dt3("splitter.border.color"), ";\n    background: ").concat(dt3("splitter.background"), ";\n    border-radius: ").concat(dt3("border.radius.md"), ";\n    color: ").concat(dt3("splitter.color"), ";\n}\n\n.p-splitter-vertical {\n    flex-direction: column;\n}\n\n.p-splitter-gutter {\n    flex-grow: 0;\n    flex-shrink: 0;\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    z-index: 1;\n    background: ").concat(dt3("splitter.gutter.background"), ";\n}\n\n.p-splitter-gutter-handle {\n    border-radius: ").concat(dt3("splitter.handle.border.radius"), ";\n    background: ").concat(dt3("splitter.handle.background"), ";\n    transition: outline-color ").concat(dt3("splitter.transition.duration"), ", box-shadow ").concat(dt3("splitter.transition.duration"), ";\n    outline-color: transparent;\n}\n\n.p-splitter-gutter-handle:focus-visible {\n    box-shadow: ").concat(dt3("splitter.handle.focus.ring.shadow"), ";\n    outline: ").concat(dt3("splitter.handle.focus.ring.width"), " ").concat(dt3("splitter.handle.focus.ring.style"), " ").concat(dt3("splitter.handle.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("splitter.handle.focus.ring.offset"), ";\n}\n\n.p-splitter-horizontal.p-splitter-resizing {\n    cursor: col-resize;\n    user-select: none;\n}\n\n.p-splitter-vertical.p-splitter-resizing {\n    cursor: row-resize;\n    user-select: none;\n}\n\n.p-splitter-horizontal > .p-splitter-gutter > .p-splitter-gutter-handle {\n    height: ").concat(dt3("splitter.handle.size"), ";\n    width: 100%;\n}\n\n.p-splitter-vertical > .p-splitter-gutter > .p-splitter-gutter-handle {\n    width: ").concat(dt3("splitter.handle.size"), ";\n    height: 100%;\n}\n\n.p-splitter-horizontal > .p-splitter-gutter {\n    cursor: col-resize;\n}\n\n.p-splitter-vertical > .p-splitter-gutter {\n    cursor: row-resize;\n}\n\n.p-splitterpanel {\n    flex-grow: 1;\n    overflow: hidden;\n}\n\n.p-splitterpanel-nested {\n    display: flex;\n}\n\n.p-splitterpanel .p-splitter {\n    flex-grow: 1;\n    border: 0 none;\n}\n");
+}, "theme");
+var classes$e = {
+  root: /* @__PURE__ */ __name(function root14(_ref2) {
+    var props = _ref2.props;
+    return ["p-splitter p-component", "p-splitter-" + props.layout];
+  }, "root"),
+  gutter: "p-splitter-gutter",
+  gutterHandle: "p-splitter-gutter-handle"
+};
+var inlineStyles$3 = {
+  root: /* @__PURE__ */ __name(function root15(_ref3) {
+    var props = _ref3.props;
+    return [{
+      display: "flex",
+      "flex-wrap": "nowrap"
+    }, props.layout === "vertical" ? {
+      "flex-direction": "column"
+    } : ""];
+  }, "root")
+};
+var SplitterStyle = BaseStyle.extend({
+  name: "splitter",
+  theme: theme$d,
+  classes: classes$e,
+  inlineStyles: inlineStyles$3
+});
+var script$1$e = {
+  name: "BaseSplitter",
+  "extends": script$X,
+  props: {
+    layout: {
+      type: String,
+      "default": "horizontal"
+    },
+    gutterSize: {
+      type: Number,
+      "default": 4
+    },
+    stateKey: {
+      type: String,
+      "default": null
+    },
+    stateStorage: {
+      type: String,
+      "default": "session"
+    },
+    step: {
+      type: Number,
+      "default": 5
+    }
+  },
+  style: SplitterStyle,
+  provide: /* @__PURE__ */ __name(function provide25() {
+    return {
+      $pcSplitter: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+function _toConsumableArray$8(r) {
+  return _arrayWithoutHoles$8(r) || _iterableToArray$8(r) || _unsupportedIterableToArray$a(r) || _nonIterableSpread$8();
+}
+__name(_toConsumableArray$8, "_toConsumableArray$8");
+function _nonIterableSpread$8() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$8, "_nonIterableSpread$8");
+function _unsupportedIterableToArray$a(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$a(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$a(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$a, "_unsupportedIterableToArray$a");
+function _iterableToArray$8(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$8, "_iterableToArray$8");
+function _arrayWithoutHoles$8(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$a(r);
+}
+__name(_arrayWithoutHoles$8, "_arrayWithoutHoles$8");
+function _arrayLikeToArray$a(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$a, "_arrayLikeToArray$a");
+var script$p = {
+  name: "Splitter",
+  "extends": script$1$e,
+  inheritAttrs: false,
+  emits: ["resizestart", "resizeend", "resize"],
+  dragging: false,
+  mouseMoveListener: null,
+  mouseUpListener: null,
+  touchMoveListener: null,
+  touchEndListener: null,
+  size: null,
+  gutterElement: null,
+  startPos: null,
+  prevPanelElement: null,
+  nextPanelElement: null,
+  nextPanelSize: null,
+  prevPanelSize: null,
+  panelSizes: null,
+  prevPanelIndex: null,
+  timer: null,
+  data: /* @__PURE__ */ __name(function data10() {
+    return {
+      prevSize: null
+    };
+  }, "data"),
+  mounted: /* @__PURE__ */ __name(function mounted9() {
+    var _this = this;
+    if (this.panels && this.panels.length) {
+      var initialized = false;
+      if (this.isStateful()) {
+        initialized = this.restoreState();
+      }
+      if (!initialized) {
+        var children = _toConsumableArray$8(this.$el.children).filter(function(child) {
+          return child.getAttribute("data-pc-name") === "splitterpanel";
+        });
+        var _panelSizes = [];
+        this.panels.map(function(panel3, i2) {
+          var panelInitialSize = panel3.props && panel3.props.size ? panel3.props.size : null;
+          var panelSize = panelInitialSize || 100 / _this.panels.length;
+          _panelSizes[i2] = panelSize;
+          children[i2].style.flexBasis = "calc(" + panelSize + "% - " + (_this.panels.length - 1) * _this.gutterSize + "px)";
+        });
+        this.panelSizes = _panelSizes;
+        this.prevSize = parseFloat(_panelSizes[0]).toFixed(4);
+      }
+    }
+  }, "mounted"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount5() {
+    this.clear();
+    this.unbindMouseListeners();
+  }, "beforeUnmount"),
+  methods: {
+    isSplitterPanel: /* @__PURE__ */ __name(function isSplitterPanel(child) {
+      return child.type.name === "SplitterPanel";
+    }, "isSplitterPanel"),
+    onResizeStart: /* @__PURE__ */ __name(function onResizeStart(event2, index2, isKeyDown) {
+      this.gutterElement = event2.currentTarget || event2.target.parentElement;
+      this.size = this.horizontal ? getWidth(this.$el) : getHeight(this.$el);
+      if (!isKeyDown) {
+        this.dragging = true;
+        this.startPos = this.layout === "horizontal" ? event2.pageX || event2.changedTouches[0].pageX : event2.pageY || event2.changedTouches[0].pageY;
+      }
+      this.prevPanelElement = this.gutterElement.previousElementSibling;
+      this.nextPanelElement = this.gutterElement.nextElementSibling;
+      if (isKeyDown) {
+        this.prevPanelSize = this.horizontal ? getOuterWidth(this.prevPanelElement, true) : getOuterHeight(this.prevPanelElement, true);
+        this.nextPanelSize = this.horizontal ? getOuterWidth(this.nextPanelElement, true) : getOuterHeight(this.nextPanelElement, true);
+      } else {
+        this.prevPanelSize = 100 * (this.horizontal ? getOuterWidth(this.prevPanelElement, true) : getOuterHeight(this.prevPanelElement, true)) / this.size;
+        this.nextPanelSize = 100 * (this.horizontal ? getOuterWidth(this.nextPanelElement, true) : getOuterHeight(this.nextPanelElement, true)) / this.size;
+      }
+      this.prevPanelIndex = index2;
+      this.$emit("resizestart", {
+        originalEvent: event2,
+        sizes: this.panelSizes
+      });
+      this.$refs.gutter[index2].setAttribute("data-p-gutter-resizing", true);
+      this.$el.setAttribute("data-p-resizing", true);
+    }, "onResizeStart"),
+    onResize: /* @__PURE__ */ __name(function onResize2(event2, step2, isKeyDown) {
+      var newPos, newPrevPanelSize, newNextPanelSize;
+      if (isKeyDown) {
+        if (this.horizontal) {
+          newPrevPanelSize = 100 * (this.prevPanelSize + step2) / this.size;
+          newNextPanelSize = 100 * (this.nextPanelSize - step2) / this.size;
+        } else {
+          newPrevPanelSize = 100 * (this.prevPanelSize - step2) / this.size;
+          newNextPanelSize = 100 * (this.nextPanelSize + step2) / this.size;
+        }
+      } else {
+        if (this.horizontal) newPos = event2.pageX * 100 / this.size - this.startPos * 100 / this.size;
+        else newPos = event2.pageY * 100 / this.size - this.startPos * 100 / this.size;
+        newPrevPanelSize = this.prevPanelSize + newPos;
+        newNextPanelSize = this.nextPanelSize - newPos;
+      }
+      if (this.validateResize(newPrevPanelSize, newNextPanelSize)) {
+        this.prevPanelElement.style.flexBasis = "calc(" + newPrevPanelSize + "% - " + (this.panels.length - 1) * this.gutterSize + "px)";
+        this.nextPanelElement.style.flexBasis = "calc(" + newNextPanelSize + "% - " + (this.panels.length - 1) * this.gutterSize + "px)";
+        this.panelSizes[this.prevPanelIndex] = newPrevPanelSize;
+        this.panelSizes[this.prevPanelIndex + 1] = newNextPanelSize;
+        this.prevSize = parseFloat(newPrevPanelSize).toFixed(4);
+      }
+      this.$emit("resize", {
+        originalEvent: event2,
+        sizes: this.panelSizes
+      });
+    }, "onResize"),
+    onResizeEnd: /* @__PURE__ */ __name(function onResizeEnd(event2) {
+      if (this.isStateful()) {
+        this.saveState();
+      }
+      this.$emit("resizeend", {
+        originalEvent: event2,
+        sizes: this.panelSizes
+      });
+      this.$refs.gutter.forEach(function(gutter) {
+        return gutter.setAttribute("data-p-gutter-resizing", false);
+      });
+      this.$el.setAttribute("data-p-resizing", false);
+      this.clear();
+    }, "onResizeEnd"),
+    repeat: /* @__PURE__ */ __name(function repeat3(event2, index2, step2) {
+      this.onResizeStart(event2, index2, true);
+      this.onResize(event2, step2, true);
+    }, "repeat"),
+    setTimer: /* @__PURE__ */ __name(function setTimer2(event2, index2, step2) {
+      var _this2 = this;
+      if (!this.timer) {
+        this.timer = setInterval(function() {
+          _this2.repeat(event2, index2, step2);
+        }, 40);
+      }
+    }, "setTimer"),
+    clearTimer: /* @__PURE__ */ __name(function clearTimer3() {
+      if (this.timer) {
+        clearInterval(this.timer);
+        this.timer = null;
+      }
+    }, "clearTimer"),
+    onGutterKeyUp: /* @__PURE__ */ __name(function onGutterKeyUp() {
+      this.clearTimer();
+      this.onResizeEnd();
+    }, "onGutterKeyUp"),
+    onGutterKeyDown: /* @__PURE__ */ __name(function onGutterKeyDown(event2, index2) {
+      switch (event2.code) {
+        case "ArrowLeft": {
+          if (this.layout === "horizontal") {
+            this.setTimer(event2, index2, this.step * -1);
+          }
+          event2.preventDefault();
+          break;
+        }
+        case "ArrowRight": {
+          if (this.layout === "horizontal") {
+            this.setTimer(event2, index2, this.step);
+          }
+          event2.preventDefault();
+          break;
+        }
+        case "ArrowDown": {
+          if (this.layout === "vertical") {
+            this.setTimer(event2, index2, this.step * -1);
+          }
+          event2.preventDefault();
+          break;
+        }
+        case "ArrowUp": {
+          if (this.layout === "vertical") {
+            this.setTimer(event2, index2, this.step);
+          }
+          event2.preventDefault();
+          break;
+        }
+      }
+    }, "onGutterKeyDown"),
+    onGutterMouseDown: /* @__PURE__ */ __name(function onGutterMouseDown(event2, index2) {
+      this.onResizeStart(event2, index2);
+      this.bindMouseListeners();
+    }, "onGutterMouseDown"),
+    onGutterTouchStart: /* @__PURE__ */ __name(function onGutterTouchStart(event2, index2) {
+      this.onResizeStart(event2, index2);
+      this.bindTouchListeners();
+      event2.preventDefault();
+    }, "onGutterTouchStart"),
+    onGutterTouchMove: /* @__PURE__ */ __name(function onGutterTouchMove(event2) {
+      this.onResize(event2);
+      event2.preventDefault();
+    }, "onGutterTouchMove"),
+    onGutterTouchEnd: /* @__PURE__ */ __name(function onGutterTouchEnd(event2) {
+      this.onResizeEnd(event2);
+      this.unbindTouchListeners();
+      event2.preventDefault();
+    }, "onGutterTouchEnd"),
+    bindMouseListeners: /* @__PURE__ */ __name(function bindMouseListeners() {
+      var _this3 = this;
+      if (!this.mouseMoveListener) {
+        this.mouseMoveListener = function(event2) {
+          return _this3.onResize(event2);
+        };
+        document.addEventListener("mousemove", this.mouseMoveListener);
+      }
+      if (!this.mouseUpListener) {
+        this.mouseUpListener = function(event2) {
+          _this3.onResizeEnd(event2);
+          _this3.unbindMouseListeners();
+        };
+        document.addEventListener("mouseup", this.mouseUpListener);
+      }
+    }, "bindMouseListeners"),
+    bindTouchListeners: /* @__PURE__ */ __name(function bindTouchListeners() {
+      var _this4 = this;
+      if (!this.touchMoveListener) {
+        this.touchMoveListener = function(event2) {
+          return _this4.onResize(event2.changedTouches[0]);
+        };
+        document.addEventListener("touchmove", this.touchMoveListener);
+      }
+      if (!this.touchEndListener) {
+        this.touchEndListener = function(event2) {
+          _this4.resizeEnd(event2);
+          _this4.unbindTouchListeners();
+        };
+        document.addEventListener("touchend", this.touchEndListener);
+      }
+    }, "bindTouchListeners"),
+    validateResize: /* @__PURE__ */ __name(function validateResize(newPrevPanelSize, newNextPanelSize) {
+      if (newPrevPanelSize > 100 || newPrevPanelSize < 0) return false;
+      if (newNextPanelSize > 100 || newNextPanelSize < 0) return false;
+      var prevPanelMinSize = getVNodeProp(this.panels[this.prevPanelIndex], "minSize");
+      if (this.panels[this.prevPanelIndex].props && prevPanelMinSize && prevPanelMinSize > newPrevPanelSize) {
+        return false;
+      }
+      var newPanelMinSize = getVNodeProp(this.panels[this.prevPanelIndex + 1], "minSize");
+      if (this.panels[this.prevPanelIndex + 1].props && newPanelMinSize && newPanelMinSize > newNextPanelSize) {
+        return false;
+      }
+      return true;
+    }, "validateResize"),
+    unbindMouseListeners: /* @__PURE__ */ __name(function unbindMouseListeners() {
+      if (this.mouseMoveListener) {
+        document.removeEventListener("mousemove", this.mouseMoveListener);
+        this.mouseMoveListener = null;
+      }
+      if (this.mouseUpListener) {
+        document.removeEventListener("mouseup", this.mouseUpListener);
+        this.mouseUpListener = null;
+      }
+    }, "unbindMouseListeners"),
+    unbindTouchListeners: /* @__PURE__ */ __name(function unbindTouchListeners() {
+      if (this.touchMoveListener) {
+        document.removeEventListener("touchmove", this.touchMoveListener);
+        this.touchMoveListener = null;
+      }
+      if (this.touchEndListener) {
+        document.removeEventListener("touchend", this.touchEndListener);
+        this.touchEndListener = null;
+      }
+    }, "unbindTouchListeners"),
+    clear: /* @__PURE__ */ __name(function clear2() {
+      this.dragging = false;
+      this.size = null;
+      this.startPos = null;
+      this.prevPanelElement = null;
+      this.nextPanelElement = null;
+      this.prevPanelSize = null;
+      this.nextPanelSize = null;
+      this.gutterElement = null;
+      this.prevPanelIndex = null;
+    }, "clear"),
+    isStateful: /* @__PURE__ */ __name(function isStateful() {
+      return this.stateKey != null;
+    }, "isStateful"),
+    getStorage: /* @__PURE__ */ __name(function getStorage() {
+      switch (this.stateStorage) {
+        case "local":
+          return window.localStorage;
+        case "session":
+          return window.sessionStorage;
+        default:
+          throw new Error(this.stateStorage + ' is not a valid value for the state storage, supported values are "local" and "session".');
+      }
+    }, "getStorage"),
+    saveState: /* @__PURE__ */ __name(function saveState() {
+      if (isArray$3(this.panelSizes)) {
+        this.getStorage().setItem(this.stateKey, JSON.stringify(this.panelSizes));
+      }
+    }, "saveState"),
+    restoreState: /* @__PURE__ */ __name(function restoreState() {
+      var _this5 = this;
+      var storage = this.getStorage();
+      var stateString = storage.getItem(this.stateKey);
+      if (stateString) {
+        this.panelSizes = JSON.parse(stateString);
+        var children = _toConsumableArray$8(this.$el.children).filter(function(child) {
+          return child.getAttribute("data-pc-name") === "splitterpanel";
+        });
+        children.forEach(function(child, i2) {
+          child.style.flexBasis = "calc(" + _this5.panelSizes[i2] + "% - " + (_this5.panels.length - 1) * _this5.gutterSize + "px)";
+        });
+        return true;
+      }
+      return false;
+    }, "restoreState")
+  },
+  computed: {
+    panels: /* @__PURE__ */ __name(function panels() {
+      var _this6 = this;
+      var panels2 = [];
+      this.$slots["default"]().forEach(function(child) {
+        if (_this6.isSplitterPanel(child)) {
+          panels2.push(child);
+        } else if (child.children instanceof Array) {
+          child.children.forEach(function(nestedChild) {
+            if (_this6.isSplitterPanel(nestedChild)) {
+              panels2.push(nestedChild);
+            }
+          });
+        }
+      });
+      return panels2;
+    }, "panels"),
+    gutterStyle: /* @__PURE__ */ __name(function gutterStyle() {
+      if (this.horizontal) return {
+        width: this.gutterSize + "px"
+      };
+      else return {
+        height: this.gutterSize + "px"
+      };
+    }, "gutterStyle"),
+    horizontal: /* @__PURE__ */ __name(function horizontal2() {
+      return this.layout === "horizontal";
+    }, "horizontal"),
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions5() {
+      var _this$$parentInstance;
+      return {
+        context: {
+          nested: (_this$$parentInstance = this.$parentInstance) === null || _this$$parentInstance === void 0 ? void 0 : _this$$parentInstance.nestedState
+        }
+      };
+    }, "getPTOptions")
+  }
+};
+var _hoisted_1$z = ["onMousedown", "onTouchstart", "onTouchmove", "onTouchend"];
+var _hoisted_2$p = ["aria-orientation", "aria-valuenow", "onKeydown"];
+function render$o(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root"),
+    style: _ctx.sx("root"),
+    "data-p-resizing": false
+  }, _ctx.ptmi("root", $options.getPTOptions)), [(openBlock(true), createElementBlock(Fragment, null, renderList($options.panels, function(panel3, i2) {
+    return openBlock(), createElementBlock(Fragment, {
+      key: i2
+    }, [(openBlock(), createBlock(resolveDynamicComponent(panel3), {
+      tabindex: "-1"
+    })), i2 !== $options.panels.length - 1 ? (openBlock(), createElementBlock("div", mergeProps({
+      key: 0,
+      ref_for: true,
+      ref: "gutter",
+      "class": _ctx.cx("gutter"),
+      role: "separator",
+      tabindex: "-1",
+      onMousedown: /* @__PURE__ */ __name(function onMousedown($event) {
+        return $options.onGutterMouseDown($event, i2);
+      }, "onMousedown"),
+      onTouchstart: /* @__PURE__ */ __name(function onTouchstart($event) {
+        return $options.onGutterTouchStart($event, i2);
+      }, "onTouchstart"),
+      onTouchmove: /* @__PURE__ */ __name(function onTouchmove($event) {
+        return $options.onGutterTouchMove($event, i2);
+      }, "onTouchmove"),
+      onTouchend: /* @__PURE__ */ __name(function onTouchend($event) {
+        return $options.onGutterTouchEnd($event, i2);
+      }, "onTouchend"),
+      "data-p-gutter-resizing": false
+    }, _ctx.ptm("gutter")), [createBaseVNode("div", mergeProps({
+      "class": _ctx.cx("gutterHandle"),
+      tabindex: "0",
+      style: [$options.gutterStyle],
+      "aria-orientation": _ctx.layout,
+      "aria-valuenow": $data.prevSize,
+      onKeyup: _cache[0] || (_cache[0] = function() {
+        return $options.onGutterKeyUp && $options.onGutterKeyUp.apply($options, arguments);
+      }),
+      onKeydown: /* @__PURE__ */ __name(function onKeydown3($event) {
+        return $options.onGutterKeyDown($event, i2);
+      }, "onKeydown"),
+      ref_for: true
+    }, _ctx.ptm("gutterHandle")), null, 16, _hoisted_2$p)], 16, _hoisted_1$z)) : createCommentVNode("", true)], 64);
+  }), 128))], 16);
+}
+__name(render$o, "render$o");
+script$p.render = render$o;
+var classes$d = {
+  root: /* @__PURE__ */ __name(function root16(_ref) {
+    var instance = _ref.instance;
+    return ["p-splitterpanel", {
+      "p-splitterpanel-nested": instance.isNested
+    }];
+  }, "root")
+};
+var SplitterPanelStyle = BaseStyle.extend({
+  name: "splitterpanel",
+  classes: classes$d
+});
+var script$1$d = {
+  name: "BaseSplitterPanel",
+  "extends": script$X,
+  props: {
+    size: {
+      type: Number,
+      "default": null
+    },
+    minSize: {
+      type: Number,
+      "default": null
+    }
+  },
+  style: SplitterPanelStyle,
+  provide: /* @__PURE__ */ __name(function provide26() {
+    return {
+      $pcSplitterPanel: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$o = {
+  name: "SplitterPanel",
+  "extends": script$1$d,
+  inheritAttrs: false,
+  data: /* @__PURE__ */ __name(function data11() {
+    return {
+      nestedState: null
+    };
+  }, "data"),
+  computed: {
+    isNested: /* @__PURE__ */ __name(function isNested() {
+      var _this = this;
+      return this.$slots["default"]().some(function(child) {
+        _this.nestedState = child.type.name === "Splitter" ? true : null;
+        return _this.nestedState;
+      });
+    }, "isNested"),
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions6() {
+      return {
+        context: {
+          nested: this.isNested
+        }
+      };
+    }, "getPTOptions")
+  }
+};
+function render$n(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("div", mergeProps({
+    ref: "container",
+    "class": _ctx.cx("root")
+  }, _ctx.ptmi("root", $options.getPTOptions)), [renderSlot(_ctx.$slots, "default")], 16);
+}
+__name(render$n, "render$n");
+script$o.render = render$n;
+const _withScopeId$b = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-edca8328"), n = n(), popScopeId(), n), "_withScopeId$b");
+const _hoisted_1$y = /* @__PURE__ */ _withScopeId$b(() => /* @__PURE__ */ createBaseVNode("div", null, null, -1));
+const _sfc_main$l = /* @__PURE__ */ defineComponent({
+  __name: "LiteGraphCanvasSplitterOverlay",
+  setup(__props) {
+    const settingStore = useSettingStore();
+    const sidebarLocation = computed(
+      () => settingStore.get("Comfy.Sidebar.Location")
+    );
+    const sidebarPanelVisible = computed(
+      () => useWorkspaceStore().activeSidebarTab !== null
+    );
+    const gutterClass = computed(() => {
+      return sidebarPanelVisible.value ? "" : "gutter-hidden";
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createBlock(unref(script$p), {
+        class: "splitter-overlay",
+        "pt:gutter": gutterClass.value
+      }, {
+        default: withCtx(() => [
+          sidebarLocation.value === "left" ? withDirectives((openBlock(), createBlock(unref(script$o), {
+            key: 0,
+            class: "side-bar-panel",
+            minSize: 10,
+            size: 20
+          }, {
+            default: withCtx(() => [
+              renderSlot(_ctx.$slots, "side-bar-panel", {}, void 0, true)
+            ]),
+            _: 3
+          }, 512)), [
+            [vShow, sidebarPanelVisible.value]
+          ]) : createCommentVNode("", true),
+          createVNode(unref(script$o), {
+            class: "graph-canvas-panel",
+            size: 100
+          }, {
+            default: withCtx(() => [
+              _hoisted_1$y
+            ]),
+            _: 1
+          }),
+          sidebarLocation.value === "right" ? withDirectives((openBlock(), createBlock(unref(script$o), {
+            key: 1,
+            class: "side-bar-panel",
+            minSize: 10,
+            size: 20
+          }, {
+            default: withCtx(() => [
+              renderSlot(_ctx.$slots, "side-bar-panel", {}, void 0, true)
+            ]),
+            _: 3
+          }, 512)), [
+            [vShow, sidebarPanelVisible.value]
+          ]) : createCommentVNode("", true)
+        ]),
+        _: 3
+      }, 8, ["pt:gutter"]);
+    };
+  }
+});
+const LiteGraphCanvasSplitterOverlay = /* @__PURE__ */ _export_sfc(_sfc_main$l, [["__scopeId", "data-v-edca8328"]]);
+var theme$c = /* @__PURE__ */ __name(function theme25(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-autocomplete {\n    display: inline-flex;\n}\n\n.p-autocomplete-loader {\n    position: absolute;\n    top: 50%;\n    margin-top: -0.5rem;\n    right: ".concat(dt3("autocomplete.padding.x"), ";\n}\n\n.p-autocomplete:has(.p-autocomplete-dropdown) .p-autocomplete-loader {\n    right: calc(").concat(dt3("autocomplete.dropdown.width"), " + ").concat(dt3("autocomplete.padding.x"), ");\n}\n\n.p-autocomplete:has(.p-autocomplete-dropdown) .p-autocomplete-input {\n    flex: 1 1 auto;\n    width: 1%;\n}\n\n.p-autocomplete:has(.p-autocomplete-dropdown) .p-autocomplete-input,\n.p-autocomplete:has(.p-autocomplete-dropdown) .p-autocomplete-input-multiple {\n    border-top-right-radius: 0;\n    border-bottom-right-radius: 0;\n}\n\n.p-autocomplete-dropdown {\n    cursor: pointer;\n    display: inline-flex;\n    cursor: pointer;\n    user-select: none;\n    align-items: center;\n    justify-content: center;\n    overflow: hidden;\n    position: relative;\n    width: ").concat(dt3("autocomplete.dropdown.width"), ";\n    border-top-right-radius: ").concat(dt3("autocomplete.dropdown.border.radius"), ";\n    border-bottom-right-radius: ").concat(dt3("autocomplete.dropdown.border.radius"), ";\n    background: ").concat(dt3("autocomplete.dropdown.background"), ";\n    border: 1px solid ").concat(dt3("autocomplete.dropdown.border.color"), ";\n    border-left: 0 none;\n    color: ").concat(dt3("autocomplete.dropdown.color"), ";\n    transition: background ").concat(dt3("autocomplete.transition.duration"), ", color ").concat(dt3("autocomplete.transition.duration"), ", border-color ").concat(dt3("autocomplete.transition.duration"), ", outline-color ").concat(dt3("autocomplete.transition.duration"), ", box-shadow ").concat(dt3("autocomplete.transition.duration"), ";\n    outline-color: transparent;\n}\n\n.p-autocomplete-dropdown:not(:disabled):hover {\n    background: ").concat(dt3("autocomplete.dropdown.hover.background"), ";\n    border-color: ").concat(dt3("autocomplete.dropdown.hover.border.color"), ";\n    color: ").concat(dt3("autocomplete.dropdown.hover.color"), ";\n}\n\n.p-autocomplete-dropdown:not(:disabled):active {\n    background: ").concat(dt3("autocomplete.dropdown.active.background"), ";\n    border-color: ").concat(dt3("autocomplete.dropdown.active.border.color"), ";\n    color: ").concat(dt3("autocomplete.dropdown.active.color"), ";\n}\n\n.p-autocomplete-dropdown:focus-visible {\n    box-shadow: ").concat(dt3("autocomplete.dropdown.focus.ring.shadow"), ";\n    outline: ").concat(dt3("autocomplete.dropdown.focus.ring.width"), " ").concat(dt3("autocomplete.dropdown.focus.ring.style"), " ").concat(dt3("autocomplete.dropdown.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("autocomplete.dropdown.focus.ring.offset"), ";\n}\n\n.p-autocomplete .p-autocomplete-overlay {\n    min-width: 100%;\n}\n\n.p-autocomplete-overlay {\n    position: absolute;\n    overflow: auto;\n    top: 0;\n    left: 0;\n    background: ").concat(dt3("autocomplete.overlay.background"), ";\n    color: ").concat(dt3("autocomplete.overlay.color"), ";\n    border: 1px solid ").concat(dt3("autocomplete.overlay.border.color"), ";\n    border-radius: ").concat(dt3("autocomplete.overlay.border.radius"), ";\n    box-shadow: ").concat(dt3("autocomplete.overlay.shadow"), ";\n}\n\n.p-autocomplete-list {\n    margin: 0;\n    padding: 0;\n    list-style-type: none;\n    display: flex;\n    flex-direction: column;\n    gap: ").concat(dt3("autocomplete.list.gap"), ";\n    padding: ").concat(dt3("autocomplete.list.padding"), ";\n}\n\n.p-autocomplete-option {\n    cursor: pointer;\n    white-space: nowrap;\n    position: relative;\n    overflow: hidden;\n    display: flex;\n    align-items: center;\n    padding: ").concat(dt3("autocomplete.option.padding"), ";\n    border: 0 none;\n    color: ").concat(dt3("autocomplete.option.color"), ";\n    background: transparent;\n    transition: background ").concat(dt3("autocomplete.transition.duration"), ", color ").concat(dt3("autocomplete.transition.duration"), ", border-color ").concat(dt3("autocomplete.transition.duration"), ";\n    border-radius: ").concat(dt3("autocomplete.option.border.radius"), ";\n}\n\n.p-autocomplete-option:not(.p-autocomplete-option-selected):not(.p-disabled).p-focus {\n    background: ").concat(dt3("autocomplete.option.focus.background"), ";\n    color: ").concat(dt3("autocomplete.option.focus.color"), ";\n}\n\n.p-autocomplete-option-selected {\n    background: ").concat(dt3("autocomplete.option.selected.background"), ";\n    color: ").concat(dt3("autocomplete.option.selected.color"), ";\n}\n\n.p-autocomplete-option-selected.p-focus {\n    background: ").concat(dt3("autocomplete.option.selected.focus.background"), ";\n    color: ").concat(dt3("autocomplete.option.selected.focus.color"), ";\n}\n\n.p-autocomplete-option-group {\n    margin: 0;\n    padding: ").concat(dt3("autocomplete.option.group.padding"), ";\n    color: ").concat(dt3("autocomplete.option.group.color"), ";\n    background: ").concat(dt3("autocomplete.option.group.background"), ";\n    font-weight: ").concat(dt3("autocomplete.option.group.font.weight"), ";\n}\n\n.p-autocomplete-input-multiple {\n    margin: 0;\n    list-style-type: none;\n    cursor: text;\n    overflow: hidden;\n    display: flex;\n    align-items: center;\n    flex-wrap: wrap;\n    padding: calc(").concat(dt3("autocomplete.padding.y"), " / 2) ").concat(dt3("autocomplete.padding.x"), ";\n    gap: calc(").concat(dt3("autocomplete.padding.y"), " / 2);\n    color: ").concat(dt3("autocomplete.color"), ";\n    background: ").concat(dt3("autocomplete.background"), ";\n    border: 1px solid ").concat(dt3("autocomplete.border.color"), ";\n    border-radius: ").concat(dt3("autocomplete.border.radius"), ";\n    width: 100%;\n    transition: background ").concat(dt3("autocomplete.transition.duration"), ", color ").concat(dt3("autocomplete.transition.duration"), ", border-color ").concat(dt3("autocomplete.transition.duration"), ", outline-color ").concat(dt3("autocomplete.transition.duration"), ", box-shadow ").concat(dt3("autocomplete.transition.duration"), ";\n    outline-color: transparent;\n    box-shadow: ").concat(dt3("autocomplete.shadow"), ";\n}\n\n.p-autocomplete:not(.p-disabled):hover .p-autocomplete-input-multiple {\n    border-color: ").concat(dt3("autocomplete.hover.border.color"), ";\n}\n\n.p-autocomplete:not(.p-disabled).p-focus .p-autocomplete-input-multiple {\n    border-color: ").concat(dt3("autocomplete.focus.border.color"), ";\n    box-shadow: ").concat(dt3("autocomplete.focus.ring.shadow"), ";\n    outline: ").concat(dt3("autocomplete.focus.ring.width"), " ").concat(dt3("autocomplete.focus.ring.style"), " ").concat(dt3("autocomplete.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("autocomplete.focus.ring.offset"), ";\n}\n\n.p-autocomplete.p-invalid .p-autocomplete-input-multiple {\n    border-color: ").concat(dt3("autocomplete.invalid.border.color"), ";\n}\n\n.p-variant-filled.p-autocomplete-input-multiple {\n    background: ").concat(dt3("autocomplete.filled.background"), ";\n}\n\n.p-autocomplete:not(.p-disabled).p-focus .p-variant-filled.p-autocomplete-input-multiple  {\n    background: ").concat(dt3("autocomplete.filled.focus.background"), ";\n}\n\n.p-autocomplete.p-disabled .p-autocomplete-input-multiple {\n    opacity: 1;\n    background: ").concat(dt3("autocomplete.disabled.background"), ";\n    color: ").concat(dt3("autocomplete.disabled.color"), ";\n}\n\n.p-autocomplete-chip.p-chip {\n    padding-top: calc(").concat(dt3("autocomplete.padding.y"), " / 2);\n    padding-bottom: calc(").concat(dt3("autocomplete.padding.y"), " / 2);\n    border-radius: ").concat(dt3("autocomplete.chip.border.radius"), ";\n}\n\n.p-autocomplete-input-multiple:has(.p-autocomplete-chip) {\n    padding-left: calc(").concat(dt3("autocomplete.padding.y"), " / 2);\n    padding-right: calc(").concat(dt3("autocomplete.padding.y"), " / 2);\n}\n\n.p-autocomplete-chip-item.p-focus .p-autocomplete-chip {\n    background: ").concat(dt3("inputchips.chip.focus.background"), ";\n    color: ").concat(dt3("inputchips.chip.focus.color"), ";\n}\n\n.p-autocomplete-input-chip {\n    flex: 1 1 auto;\n    display: inline-flex;\n    padding-top: calc(").concat(dt3("autocomplete.padding.y"), " / 2);\n    padding-bottom: calc(").concat(dt3("autocomplete.padding.y"), " / 2);\n}\n\n.p-autocomplete-input-chip input {\n    border: 0 none;\n    outline: 0 none;\n    background: transparent;\n    margin: 0;\n    padding: 0;\n    box-shadow: none;\n    border-radius: 0;\n    width: 100%;\n    font-family: inherit;\n    font-feature-settings: inherit;\n    font-size: 1rem;\n    color: inherit;\n}\n\n.p-autocomplete-input-chip input::placeholder {\n    color: ").concat(dt3("autocomplete.placeholder.color"), ";\n}\n\n.p-autocomplete-empty-message {\n    padding: ").concat(dt3("autocomplete.empty.message.padding"), ";\n}\n\n.p-autocomplete-fluid {\n    display: flex;\n}\n\n.p-autocomplete-fluid:has(.p-autocomplete-dropdown) .p-autocomplete-input {\n    width: 1%;\n}\n");
+}, "theme");
+var inlineStyles$2 = {
+  root: {
+    position: "relative"
+  }
+};
+var classes$c = {
+  root: /* @__PURE__ */ __name(function root17(_ref2) {
+    var instance = _ref2.instance, props = _ref2.props;
+    return ["p-autocomplete p-component p-inputwrapper", {
+      "p-disabled": props.disabled,
+      "p-invalid": props.invalid,
+      "p-focus": instance.focused,
+      "p-inputwrapper-filled": props.modelValue || isNotEmpty(instance.inputValue),
+      "p-inputwrapper-focus": instance.focused,
+      "p-autocomplete-open": instance.overlayVisible,
+      "p-autocomplete-fluid": props.fluid
+    }];
+  }, "root"),
+  pcInput: "p-autocomplete-input",
+  inputMultiple: /* @__PURE__ */ __name(function inputMultiple(_ref3) {
+    var props = _ref3.props, instance = _ref3.instance;
+    return ["p-autocomplete-input-multiple", {
+      "p-variant-filled": props.variant ? props.variant === "filled" : instance.$primevue.config.inputStyle === "filled" || instance.$primevue.config.inputVariant === "filled"
+    }];
+  }, "inputMultiple"),
+  chipItem: /* @__PURE__ */ __name(function chipItem(_ref4) {
+    var instance = _ref4.instance, i2 = _ref4.i;
+    return ["p-autocomplete-chip-item", {
+      "p-focus": instance.focusedMultipleOptionIndex === i2
+    }];
+  }, "chipItem"),
+  pcChip: "p-autocomplete-chip",
+  chipIcon: "p-autocomplete-chip-icon",
+  inputChip: "p-autocomplete-input-chip",
+  loader: "p-autocomplete-loader",
+  dropdown: "p-autocomplete-dropdown",
+  overlay: "p-autocomplete-overlay p-component",
+  list: "p-autocomplete-list",
+  optionGroup: "p-autocomplete-option-group",
+  option: /* @__PURE__ */ __name(function option3(_ref5) {
+    var instance = _ref5.instance, _option = _ref5.option, i2 = _ref5.i, getItemOptions = _ref5.getItemOptions;
+    return ["p-autocomplete-option", {
+      "p-autocomplete-option-selected": instance.isSelected(_option),
+      "p-focus": instance.focusedOptionIndex === instance.getOptionIndex(i2, getItemOptions),
+      "p-disabled": instance.isOptionDisabled(_option)
+    }];
+  }, "option"),
+  emptyMessage: "p-autocomplete-empty-message"
+};
+var AutoCompleteStyle = BaseStyle.extend({
+  name: "autocomplete",
+  theme: theme$c,
+  classes: classes$c,
+  inlineStyles: inlineStyles$2
+});
+var script$1$c = {
+  name: "BaseAutoComplete",
+  "extends": script$X,
+  props: {
+    modelValue: null,
+    suggestions: {
+      type: Array,
+      "default": null
+    },
+    optionLabel: null,
+    optionDisabled: null,
+    optionGroupLabel: null,
+    optionGroupChildren: null,
+    scrollHeight: {
+      type: String,
+      "default": "14rem"
+    },
+    dropdown: {
+      type: Boolean,
+      "default": false
+    },
+    dropdownMode: {
+      type: String,
+      "default": "blank"
+    },
+    multiple: {
+      type: Boolean,
+      "default": false
+    },
+    loading: {
+      type: Boolean,
+      "default": false
+    },
+    variant: {
+      type: String,
+      "default": null
+    },
+    invalid: {
+      type: Boolean,
+      "default": false
+    },
+    disabled: {
+      type: Boolean,
+      "default": false
+    },
+    placeholder: {
+      type: String,
+      "default": null
+    },
+    dataKey: {
+      type: String,
+      "default": null
+    },
+    minLength: {
+      type: Number,
+      "default": 1
+    },
+    delay: {
+      type: Number,
+      "default": 300
+    },
+    appendTo: {
+      type: [String, Object],
+      "default": "body"
+    },
+    forceSelection: {
+      type: Boolean,
+      "default": false
+    },
+    completeOnFocus: {
+      type: Boolean,
+      "default": false
+    },
+    inputId: {
+      type: String,
+      "default": null
+    },
+    inputStyle: {
+      type: Object,
+      "default": null
+    },
+    inputClass: {
+      type: [String, Object],
+      "default": null
+    },
+    panelStyle: {
+      type: Object,
+      "default": null
+    },
+    panelClass: {
+      type: [String, Object],
+      "default": null
+    },
+    overlayStyle: {
+      type: Object,
+      "default": null
+    },
+    overlayClass: {
+      type: [String, Object],
+      "default": null
+    },
+    dropdownIcon: {
+      type: String,
+      "default": null
+    },
+    dropdownClass: {
+      type: [String, Object],
+      "default": null
+    },
+    loader: {
+      type: String,
+      "default": null
+    },
+    loadingIcon: {
+      type: String,
+      "default": null
+    },
+    removeTokenIcon: {
+      type: String,
+      "default": null
+    },
+    chipIcon: {
+      type: String,
+      "default": null
+    },
+    virtualScrollerOptions: {
+      type: Object,
+      "default": null
+    },
+    autoOptionFocus: {
+      type: Boolean,
+      "default": false
+    },
+    selectOnFocus: {
+      type: Boolean,
+      "default": false
+    },
+    focusOnHover: {
+      type: Boolean,
+      "default": true
+    },
+    searchLocale: {
+      type: String,
+      "default": void 0
+    },
+    searchMessage: {
+      type: String,
+      "default": null
+    },
+    selectionMessage: {
+      type: String,
+      "default": null
+    },
+    emptySelectionMessage: {
+      type: String,
+      "default": null
+    },
+    emptySearchMessage: {
+      type: String,
+      "default": null
+    },
+    tabindex: {
+      type: Number,
+      "default": 0
+    },
+    typeahead: {
+      type: Boolean,
+      "default": true
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    },
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    },
+    fluid: {
+      type: Boolean,
+      "default": false
+    }
+  },
+  style: AutoCompleteStyle,
+  provide: /* @__PURE__ */ __name(function provide27() {
+    return {
+      $pcAutoComplete: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+function _typeof$1$3(o) {
+  "@babel/helpers - typeof";
+  return _typeof$1$3 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$1$3(o);
+}
+__name(_typeof$1$3, "_typeof$1$3");
+function _toConsumableArray$7(r) {
+  return _arrayWithoutHoles$7(r) || _iterableToArray$7(r) || _unsupportedIterableToArray$9(r) || _nonIterableSpread$7();
+}
+__name(_toConsumableArray$7, "_toConsumableArray$7");
+function _nonIterableSpread$7() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$7, "_nonIterableSpread$7");
+function _unsupportedIterableToArray$9(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$9(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$9(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$9, "_unsupportedIterableToArray$9");
+function _iterableToArray$7(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$7, "_iterableToArray$7");
+function _arrayWithoutHoles$7(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$9(r);
+}
+__name(_arrayWithoutHoles$7, "_arrayWithoutHoles$7");
+function _arrayLikeToArray$9(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$9, "_arrayLikeToArray$9");
+var script$n = {
+  name: "AutoComplete",
+  "extends": script$1$c,
+  inheritAttrs: false,
+  emits: ["update:modelValue", "change", "focus", "blur", "item-select", "item-unselect", "option-select", "option-unselect", "dropdown-click", "clear", "complete", "before-show", "before-hide", "show", "hide"],
+  outsideClickListener: null,
+  resizeListener: null,
+  scrollHandler: null,
+  overlay: null,
+  virtualScroller: null,
+  searchTimeout: null,
+  dirty: false,
+  data: /* @__PURE__ */ __name(function data12() {
+    return {
+      id: this.$attrs.id,
+      clicked: false,
+      focused: false,
+      focusedOptionIndex: -1,
+      focusedMultipleOptionIndex: -1,
+      overlayVisible: false,
+      searching: false
+    };
+  }, "data"),
+  watch: {
+    "$attrs.id": /* @__PURE__ */ __name(function $attrsId5(newValue) {
+      this.id = newValue || UniqueComponentId();
+    }, "$attrsId"),
+    suggestions: /* @__PURE__ */ __name(function suggestions() {
+      if (this.searching) {
+        this.show();
+        this.focusedOptionIndex = this.overlayVisible && this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : -1;
+        this.searching = false;
+      }
+      this.autoUpdateModel();
+    }, "suggestions")
+  },
+  mounted: /* @__PURE__ */ __name(function mounted10() {
+    this.id = this.id || UniqueComponentId();
+    this.autoUpdateModel();
+  }, "mounted"),
+  updated: /* @__PURE__ */ __name(function updated6() {
+    if (this.overlayVisible) {
+      this.alignOverlay();
+    }
+  }, "updated"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount6() {
+    this.unbindOutsideClickListener();
+    this.unbindResizeListener();
+    if (this.scrollHandler) {
+      this.scrollHandler.destroy();
+      this.scrollHandler = null;
+    }
+    if (this.overlay) {
+      ZIndex.clear(this.overlay);
+      this.overlay = null;
+    }
+  }, "beforeUnmount"),
+  methods: {
+    getOptionIndex: /* @__PURE__ */ __name(function getOptionIndex3(index2, fn) {
+      return this.virtualScrollerDisabled ? index2 : fn && fn(index2)["index"];
+    }, "getOptionIndex"),
+    getOptionLabel: /* @__PURE__ */ __name(function getOptionLabel3(option4) {
+      return this.optionLabel ? resolveFieldData(option4, this.optionLabel) : option4;
+    }, "getOptionLabel"),
+    getOptionValue: /* @__PURE__ */ __name(function getOptionValue4(option4) {
+      return option4;
+    }, "getOptionValue"),
+    getOptionRenderKey: /* @__PURE__ */ __name(function getOptionRenderKey3(option4, index2) {
+      return (this.dataKey ? resolveFieldData(option4, this.dataKey) : this.getOptionLabel(option4)) + "_" + index2;
+    }, "getOptionRenderKey"),
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions7(option4, itemOptions, index2, key) {
+      return this.ptm(key, {
+        context: {
+          selected: this.isSelected(option4),
+          focused: this.focusedOptionIndex === this.getOptionIndex(index2, itemOptions),
+          disabled: this.isOptionDisabled(option4)
+        }
+      });
+    }, "getPTOptions"),
+    isOptionDisabled: /* @__PURE__ */ __name(function isOptionDisabled3(option4) {
+      return this.optionDisabled ? resolveFieldData(option4, this.optionDisabled) : false;
+    }, "isOptionDisabled"),
+    isOptionGroup: /* @__PURE__ */ __name(function isOptionGroup3(option4) {
+      return this.optionGroupLabel && option4.optionGroup && option4.group;
+    }, "isOptionGroup"),
+    getOptionGroupLabel: /* @__PURE__ */ __name(function getOptionGroupLabel3(optionGroup) {
+      return resolveFieldData(optionGroup, this.optionGroupLabel);
+    }, "getOptionGroupLabel"),
+    getOptionGroupChildren: /* @__PURE__ */ __name(function getOptionGroupChildren3(optionGroup) {
+      return resolveFieldData(optionGroup, this.optionGroupChildren);
+    }, "getOptionGroupChildren"),
+    getAriaPosInset: /* @__PURE__ */ __name(function getAriaPosInset3(index2) {
+      var _this = this;
+      return (this.optionGroupLabel ? index2 - this.visibleOptions.slice(0, index2).filter(function(option4) {
+        return _this.isOptionGroup(option4);
+      }).length : index2) + 1;
+    }, "getAriaPosInset"),
+    show: /* @__PURE__ */ __name(function show3(isFocus) {
+      this.$emit("before-show");
+      this.dirty = true;
+      this.overlayVisible = true;
+      this.focusedOptionIndex = this.focusedOptionIndex !== -1 ? this.focusedOptionIndex : this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : -1;
+      isFocus && focus(this.multiple ? this.$refs.focusInput : this.$refs.focusInput.$el);
+    }, "show"),
+    hide: /* @__PURE__ */ __name(function hide3(isFocus) {
+      var _this2 = this;
+      var _hide = /* @__PURE__ */ __name(function _hide2() {
+        _this2.$emit("before-hide");
+        _this2.dirty = isFocus;
+        _this2.overlayVisible = false;
+        _this2.clicked = false;
+        _this2.focusedOptionIndex = -1;
+        isFocus && focus(_this2.multiple ? _this2.$refs.focusInput : _this2.$refs.focusInput.$el);
+      }, "_hide");
+      setTimeout(function() {
+        _hide();
+      }, 0);
+    }, "hide"),
+    onFocus: /* @__PURE__ */ __name(function onFocus5(event2) {
+      if (this.disabled) {
+        return;
+      }
+      if (!this.dirty && this.completeOnFocus) {
+        this.search(event2, event2.target.value, "focus");
+      }
+      this.dirty = true;
+      this.focused = true;
+      if (this.overlayVisible) {
+        this.focusedOptionIndex = this.focusedOptionIndex !== -1 ? this.focusedOptionIndex : this.overlayVisible && this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : -1;
+        this.scrollInView(this.focusedOptionIndex);
+      }
+      this.$emit("focus", event2);
+    }, "onFocus"),
+    onBlur: /* @__PURE__ */ __name(function onBlur5(event2) {
+      this.dirty = false;
+      this.focused = false;
+      this.focusedOptionIndex = -1;
+      this.$emit("blur", event2);
+    }, "onBlur"),
+    onKeyDown: /* @__PURE__ */ __name(function onKeyDown5(event2) {
+      if (this.disabled) {
+        event2.preventDefault();
+        return;
+      }
+      switch (event2.code) {
+        case "ArrowDown":
+          this.onArrowDownKey(event2);
+          break;
+        case "ArrowUp":
+          this.onArrowUpKey(event2);
+          break;
+        case "ArrowLeft":
+          this.onArrowLeftKey(event2);
+          break;
+        case "ArrowRight":
+          this.onArrowRightKey(event2);
+          break;
+        case "Home":
+          this.onHomeKey(event2);
+          break;
+        case "End":
+          this.onEndKey(event2);
+          break;
+        case "PageDown":
+          this.onPageDownKey(event2);
+          break;
+        case "PageUp":
+          this.onPageUpKey(event2);
+          break;
+        case "Enter":
+        case "NumpadEnter":
+          this.onEnterKey(event2);
+          break;
+        case "Escape":
+          this.onEscapeKey(event2);
+          break;
+        case "Tab":
+          this.onTabKey(event2);
+          break;
+        case "Backspace":
+          this.onBackspaceKey(event2);
+          break;
+      }
+      this.clicked = false;
+    }, "onKeyDown"),
+    onInput: /* @__PURE__ */ __name(function onInput2(event2) {
+      var _this3 = this;
+      if (this.typeahead) {
+        if (this.searchTimeout) {
+          clearTimeout(this.searchTimeout);
+        }
+        var query = event2.target.value;
+        if (!this.multiple) {
+          this.updateModel(event2, query);
+        }
+        if (query.length === 0) {
+          this.hide();
+          this.$emit("clear");
+        } else {
+          if (query.length >= this.minLength) {
+            this.focusedOptionIndex = -1;
+            this.searchTimeout = setTimeout(function() {
+              _this3.search(event2, query, "input");
+            }, this.delay);
+          } else {
+            this.hide();
+          }
+        }
+      }
+    }, "onInput"),
+    onChange: /* @__PURE__ */ __name(function onChange2(event2) {
+      var _this4 = this;
+      if (this.forceSelection) {
+        var valid = false;
+        if (this.visibleOptions && !this.multiple) {
+          var value3 = this.multiple ? this.$refs.focusInput.value : this.$refs.focusInput.$el.value;
+          var matchedValue = this.visibleOptions.find(function(option4) {
+            return _this4.isOptionMatched(option4, value3 || "");
+          });
+          if (matchedValue !== void 0) {
+            valid = true;
+            !this.isSelected(matchedValue) && this.onOptionSelect(event2, matchedValue);
+          }
+        }
+        if (!valid) {
+          if (this.multiple) this.$refs.focusInput.value = "";
+          else this.$refs.focusInput.$el.value = "";
+          this.$emit("clear");
+          !this.multiple && this.updateModel(event2, null);
+        }
+      }
+    }, "onChange"),
+    onMultipleContainerFocus: /* @__PURE__ */ __name(function onMultipleContainerFocus() {
+      if (this.disabled) {
+        return;
+      }
+      this.focused = true;
+    }, "onMultipleContainerFocus"),
+    onMultipleContainerBlur: /* @__PURE__ */ __name(function onMultipleContainerBlur() {
+      this.focusedMultipleOptionIndex = -1;
+      this.focused = false;
+    }, "onMultipleContainerBlur"),
+    onMultipleContainerKeyDown: /* @__PURE__ */ __name(function onMultipleContainerKeyDown(event2) {
+      if (this.disabled) {
+        event2.preventDefault();
+        return;
+      }
+      switch (event2.code) {
+        case "ArrowLeft":
+          this.onArrowLeftKeyOnMultiple(event2);
+          break;
+        case "ArrowRight":
+          this.onArrowRightKeyOnMultiple(event2);
+          break;
+        case "Backspace":
+          this.onBackspaceKeyOnMultiple(event2);
+          break;
+      }
+    }, "onMultipleContainerKeyDown"),
+    onContainerClick: /* @__PURE__ */ __name(function onContainerClick2(event2) {
+      this.clicked = true;
+      if (this.disabled || this.searching || this.loading || this.isInputClicked(event2) || this.isDropdownClicked(event2)) {
+        return;
+      }
+      if (!this.overlay || !this.overlay.contains(event2.target)) {
+        focus(this.multiple ? this.$refs.focusInput : this.$refs.focusInput.$el);
+      }
+    }, "onContainerClick"),
+    onDropdownClick: /* @__PURE__ */ __name(function onDropdownClick(event2) {
+      var query = void 0;
+      if (this.overlayVisible) {
+        this.hide(true);
+      } else {
+        focus(this.multiple ? this.$refs.focusInput : this.$refs.focusInput.$el);
+        query = this.$refs.focusInput.$el.value;
+        if (this.dropdownMode === "blank") this.search(event2, "", "dropdown");
+        else if (this.dropdownMode === "current") this.search(event2, query, "dropdown");
+      }
+      this.$emit("dropdown-click", {
+        originalEvent: event2,
+        query
+      });
+    }, "onDropdownClick"),
+    onOptionSelect: /* @__PURE__ */ __name(function onOptionSelect3(event2, option4) {
+      var isHide = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : true;
+      var value3 = this.getOptionValue(option4);
+      if (this.multiple) {
+        this.$refs.focusInput.value = "";
+        if (!this.isSelected(option4)) {
+          this.updateModel(event2, [].concat(_toConsumableArray$7(this.modelValue || []), [value3]));
+        }
+      } else {
+        this.updateModel(event2, value3);
+      }
+      this.$emit("item-select", {
+        originalEvent: event2,
+        value: option4
+      });
+      this.$emit("option-select", {
+        originalEvent: event2,
+        value: option4
+      });
+      isHide && this.hide(true);
+    }, "onOptionSelect"),
+    onOptionMouseMove: /* @__PURE__ */ __name(function onOptionMouseMove3(event2, index2) {
+      if (this.focusOnHover) {
+        this.changeFocusedOptionIndex(event2, index2);
+      }
+    }, "onOptionMouseMove"),
+    onOverlayClick: /* @__PURE__ */ __name(function onOverlayClick2(event2) {
+      OverlayEventBus.emit("overlay-click", {
+        originalEvent: event2,
+        target: this.$el
+      });
+    }, "onOverlayClick"),
+    onOverlayKeyDown: /* @__PURE__ */ __name(function onOverlayKeyDown2(event2) {
+      switch (event2.code) {
+        case "Escape":
+          this.onEscapeKey(event2);
+          break;
+      }
+    }, "onOverlayKeyDown"),
+    onArrowDownKey: /* @__PURE__ */ __name(function onArrowDownKey3(event2) {
+      if (!this.overlayVisible) {
+        return;
+      }
+      var optionIndex = this.focusedOptionIndex !== -1 ? this.findNextOptionIndex(this.focusedOptionIndex) : this.clicked ? this.findFirstOptionIndex() : this.findFirstFocusedOptionIndex();
+      this.changeFocusedOptionIndex(event2, optionIndex);
+      event2.preventDefault();
+    }, "onArrowDownKey"),
+    onArrowUpKey: /* @__PURE__ */ __name(function onArrowUpKey3(event2) {
+      if (!this.overlayVisible) {
+        return;
+      }
+      if (event2.altKey) {
+        if (this.focusedOptionIndex !== -1) {
+          this.onOptionSelect(event2, this.visibleOptions[this.focusedOptionIndex]);
+        }
+        this.overlayVisible && this.hide();
+        event2.preventDefault();
+      } else {
+        var optionIndex = this.focusedOptionIndex !== -1 ? this.findPrevOptionIndex(this.focusedOptionIndex) : this.clicked ? this.findLastOptionIndex() : this.findLastFocusedOptionIndex();
+        this.changeFocusedOptionIndex(event2, optionIndex);
+        event2.preventDefault();
+      }
+    }, "onArrowUpKey"),
+    onArrowLeftKey: /* @__PURE__ */ __name(function onArrowLeftKey3(event2) {
+      var target = event2.currentTarget;
+      this.focusedOptionIndex = -1;
+      if (this.multiple) {
+        if (isEmpty(target.value) && this.hasSelectedOption) {
+          focus(this.$refs.multiContainer);
+          this.focusedMultipleOptionIndex = this.modelValue.length;
+        } else {
+          event2.stopPropagation();
+        }
+      }
+    }, "onArrowLeftKey"),
+    onArrowRightKey: /* @__PURE__ */ __name(function onArrowRightKey(event2) {
+      this.focusedOptionIndex = -1;
+      this.multiple && event2.stopPropagation();
+    }, "onArrowRightKey"),
+    onHomeKey: /* @__PURE__ */ __name(function onHomeKey3(event2) {
+      var currentTarget = event2.currentTarget;
+      var len = currentTarget.value.length;
+      currentTarget.setSelectionRange(0, event2.shiftKey ? len : 0);
+      this.focusedOptionIndex = -1;
+      event2.preventDefault();
+    }, "onHomeKey"),
+    onEndKey: /* @__PURE__ */ __name(function onEndKey3(event2) {
+      var currentTarget = event2.currentTarget;
+      var len = currentTarget.value.length;
+      currentTarget.setSelectionRange(event2.shiftKey ? 0 : len, len);
+      this.focusedOptionIndex = -1;
+      event2.preventDefault();
+    }, "onEndKey"),
+    onPageUpKey: /* @__PURE__ */ __name(function onPageUpKey3(event2) {
+      this.scrollInView(0);
+      event2.preventDefault();
+    }, "onPageUpKey"),
+    onPageDownKey: /* @__PURE__ */ __name(function onPageDownKey3(event2) {
+      this.scrollInView(this.visibleOptions.length - 1);
+      event2.preventDefault();
+    }, "onPageDownKey"),
+    onEnterKey: /* @__PURE__ */ __name(function onEnterKey3(event2) {
+      if (!this.typeahead) {
+        if (this.multiple) {
+          this.updateModel(event2, [].concat(_toConsumableArray$7(this.modelValue || []), [event2.target.value]));
+          this.$refs.focusInput.value = "";
+        }
+      } else {
+        if (!this.overlayVisible) {
+          this.focusedOptionIndex = -1;
+          this.onArrowDownKey(event2);
+        } else {
+          if (this.focusedOptionIndex !== -1) {
+            this.onOptionSelect(event2, this.visibleOptions[this.focusedOptionIndex]);
+          }
+          this.hide();
+        }
+      }
+    }, "onEnterKey"),
+    onEscapeKey: /* @__PURE__ */ __name(function onEscapeKey2(event2) {
+      this.overlayVisible && this.hide(true);
+      event2.preventDefault();
+    }, "onEscapeKey"),
+    onTabKey: /* @__PURE__ */ __name(function onTabKey2(event2) {
+      if (this.focusedOptionIndex !== -1) {
+        this.onOptionSelect(event2, this.visibleOptions[this.focusedOptionIndex]);
+      }
+      this.overlayVisible && this.hide();
+    }, "onTabKey"),
+    onBackspaceKey: /* @__PURE__ */ __name(function onBackspaceKey2(event2) {
+      if (this.multiple) {
+        if (isNotEmpty(this.modelValue) && !this.$refs.focusInput.value) {
+          var removedValue = this.modelValue[this.modelValue.length - 1];
+          var newValue = this.modelValue.slice(0, -1);
+          this.$emit("update:modelValue", newValue);
+          this.$emit("item-unselect", {
+            originalEvent: event2,
+            value: removedValue
+          });
+          this.$emit("option-unselect", {
+            originalEvent: event2,
+            value: removedValue
+          });
+        }
+        event2.stopPropagation();
+      }
+    }, "onBackspaceKey"),
+    onArrowLeftKeyOnMultiple: /* @__PURE__ */ __name(function onArrowLeftKeyOnMultiple() {
+      this.focusedMultipleOptionIndex = this.focusedMultipleOptionIndex < 1 ? 0 : this.focusedMultipleOptionIndex - 1;
+    }, "onArrowLeftKeyOnMultiple"),
+    onArrowRightKeyOnMultiple: /* @__PURE__ */ __name(function onArrowRightKeyOnMultiple() {
+      this.focusedMultipleOptionIndex++;
+      if (this.focusedMultipleOptionIndex > this.modelValue.length - 1) {
+        this.focusedMultipleOptionIndex = -1;
+        focus(this.$refs.focusInput);
+      }
+    }, "onArrowRightKeyOnMultiple"),
+    onBackspaceKeyOnMultiple: /* @__PURE__ */ __name(function onBackspaceKeyOnMultiple(event2) {
+      if (this.focusedMultipleOptionIndex !== -1) {
+        this.removeOption(event2, this.focusedMultipleOptionIndex);
+      }
+    }, "onBackspaceKeyOnMultiple"),
+    onOverlayEnter: /* @__PURE__ */ __name(function onOverlayEnter2(el) {
+      ZIndex.set("overlay", el, this.$primevue.config.zIndex.overlay);
+      addStyle(el, {
+        position: "absolute",
+        top: "0",
+        left: "0"
+      });
+      this.alignOverlay();
+    }, "onOverlayEnter"),
+    onOverlayAfterEnter: /* @__PURE__ */ __name(function onOverlayAfterEnter2() {
+      this.bindOutsideClickListener();
+      this.bindScrollListener();
+      this.bindResizeListener();
+      this.$emit("show");
+    }, "onOverlayAfterEnter"),
+    onOverlayLeave: /* @__PURE__ */ __name(function onOverlayLeave2() {
+      this.unbindOutsideClickListener();
+      this.unbindScrollListener();
+      this.unbindResizeListener();
+      this.$emit("hide");
+      this.overlay = null;
+    }, "onOverlayLeave"),
+    onOverlayAfterLeave: /* @__PURE__ */ __name(function onOverlayAfterLeave2(el) {
+      ZIndex.clear(el);
+    }, "onOverlayAfterLeave"),
+    alignOverlay: /* @__PURE__ */ __name(function alignOverlay3() {
+      var target = this.multiple ? this.$refs.multiContainer : this.$refs.focusInput.$el;
+      if (this.appendTo === "self") {
+        relativePosition(this.overlay, target);
+      } else {
+        this.overlay.style.minWidth = getOuterWidth(target) + "px";
+        absolutePosition(this.overlay, target);
+      }
+    }, "alignOverlay"),
+    bindOutsideClickListener: /* @__PURE__ */ __name(function bindOutsideClickListener2() {
+      var _this5 = this;
+      if (!this.outsideClickListener) {
+        this.outsideClickListener = function(event2) {
+          if (_this5.overlayVisible && _this5.overlay && _this5.isOutsideClicked(event2)) {
+            _this5.hide();
+          }
+        };
+        document.addEventListener("click", this.outsideClickListener);
+      }
+    }, "bindOutsideClickListener"),
+    unbindOutsideClickListener: /* @__PURE__ */ __name(function unbindOutsideClickListener2() {
+      if (this.outsideClickListener) {
+        document.removeEventListener("click", this.outsideClickListener);
+        this.outsideClickListener = null;
+      }
+    }, "unbindOutsideClickListener"),
+    bindScrollListener: /* @__PURE__ */ __name(function bindScrollListener3() {
+      var _this6 = this;
+      if (!this.scrollHandler) {
+        this.scrollHandler = new ConnectedOverlayScrollHandler(this.$refs.container, function() {
+          if (_this6.overlayVisible) {
+            _this6.hide();
+          }
+        });
+      }
+      this.scrollHandler.bindScrollListener();
+    }, "bindScrollListener"),
+    unbindScrollListener: /* @__PURE__ */ __name(function unbindScrollListener3() {
+      if (this.scrollHandler) {
+        this.scrollHandler.unbindScrollListener();
+      }
+    }, "unbindScrollListener"),
+    bindResizeListener: /* @__PURE__ */ __name(function bindResizeListener3() {
+      var _this7 = this;
+      if (!this.resizeListener) {
+        this.resizeListener = function() {
+          if (_this7.overlayVisible && !isTouchDevice()) {
+            _this7.hide();
+          }
+        };
+        window.addEventListener("resize", this.resizeListener);
+      }
+    }, "bindResizeListener"),
+    unbindResizeListener: /* @__PURE__ */ __name(function unbindResizeListener3() {
+      if (this.resizeListener) {
+        window.removeEventListener("resize", this.resizeListener);
+        this.resizeListener = null;
+      }
+    }, "unbindResizeListener"),
+    isOutsideClicked: /* @__PURE__ */ __name(function isOutsideClicked(event2) {
+      return !this.overlay.contains(event2.target) && !this.isInputClicked(event2) && !this.isDropdownClicked(event2);
+    }, "isOutsideClicked"),
+    isInputClicked: /* @__PURE__ */ __name(function isInputClicked(event2) {
+      if (this.multiple) return event2.target === this.$refs.multiContainer || this.$refs.multiContainer.contains(event2.target);
+      else return event2.target === this.$refs.focusInput.$el;
+    }, "isInputClicked"),
+    isDropdownClicked: /* @__PURE__ */ __name(function isDropdownClicked(event2) {
+      return this.$refs.dropdownButton ? event2.target === this.$refs.dropdownButton || this.$refs.dropdownButton.contains(event2.target) : false;
+    }, "isDropdownClicked"),
+    isOptionMatched: /* @__PURE__ */ __name(function isOptionMatched3(option4, value3) {
+      var _this$getOptionLabel;
+      return this.isValidOption(option4) && ((_this$getOptionLabel = this.getOptionLabel(option4)) === null || _this$getOptionLabel === void 0 ? void 0 : _this$getOptionLabel.toLocaleLowerCase(this.searchLocale)) === value3.toLocaleLowerCase(this.searchLocale);
+    }, "isOptionMatched"),
+    isValidOption: /* @__PURE__ */ __name(function isValidOption3(option4) {
+      return isNotEmpty(option4) && !(this.isOptionDisabled(option4) || this.isOptionGroup(option4));
+    }, "isValidOption"),
+    isValidSelectedOption: /* @__PURE__ */ __name(function isValidSelectedOption3(option4) {
+      return this.isValidOption(option4) && this.isSelected(option4);
+    }, "isValidSelectedOption"),
+    isEquals: /* @__PURE__ */ __name(function isEquals2(value1, value22) {
+      return equals(value1, value22, this.equalityKey);
+    }, "isEquals"),
+    isSelected: /* @__PURE__ */ __name(function isSelected3(option4) {
+      var _this8 = this;
+      var optionValue = this.getOptionValue(option4);
+      return this.multiple ? (this.modelValue || []).some(function(value3) {
+        return _this8.isEquals(value3, optionValue);
+      }) : this.isEquals(this.modelValue, this.getOptionValue(option4));
+    }, "isSelected"),
+    findFirstOptionIndex: /* @__PURE__ */ __name(function findFirstOptionIndex3() {
+      var _this9 = this;
+      return this.visibleOptions.findIndex(function(option4) {
+        return _this9.isValidOption(option4);
+      });
+    }, "findFirstOptionIndex"),
+    findLastOptionIndex: /* @__PURE__ */ __name(function findLastOptionIndex3() {
+      var _this10 = this;
+      return findLastIndex(this.visibleOptions, function(option4) {
+        return _this10.isValidOption(option4);
+      });
+    }, "findLastOptionIndex"),
+    findNextOptionIndex: /* @__PURE__ */ __name(function findNextOptionIndex3(index2) {
+      var _this11 = this;
+      var matchedOptionIndex = index2 < this.visibleOptions.length - 1 ? this.visibleOptions.slice(index2 + 1).findIndex(function(option4) {
+        return _this11.isValidOption(option4);
+      }) : -1;
+      return matchedOptionIndex > -1 ? matchedOptionIndex + index2 + 1 : index2;
+    }, "findNextOptionIndex"),
+    findPrevOptionIndex: /* @__PURE__ */ __name(function findPrevOptionIndex3(index2) {
+      var _this12 = this;
+      var matchedOptionIndex = index2 > 0 ? findLastIndex(this.visibleOptions.slice(0, index2), function(option4) {
+        return _this12.isValidOption(option4);
+      }) : -1;
+      return matchedOptionIndex > -1 ? matchedOptionIndex : index2;
+    }, "findPrevOptionIndex"),
+    findSelectedOptionIndex: /* @__PURE__ */ __name(function findSelectedOptionIndex3() {
+      var _this13 = this;
+      return this.hasSelectedOption ? this.visibleOptions.findIndex(function(option4) {
+        return _this13.isValidSelectedOption(option4);
+      }) : -1;
+    }, "findSelectedOptionIndex"),
+    findFirstFocusedOptionIndex: /* @__PURE__ */ __name(function findFirstFocusedOptionIndex3() {
+      var selectedIndex = this.findSelectedOptionIndex();
+      return selectedIndex < 0 ? this.findFirstOptionIndex() : selectedIndex;
+    }, "findFirstFocusedOptionIndex"),
+    findLastFocusedOptionIndex: /* @__PURE__ */ __name(function findLastFocusedOptionIndex3() {
+      var selectedIndex = this.findSelectedOptionIndex();
+      return selectedIndex < 0 ? this.findLastOptionIndex() : selectedIndex;
+    }, "findLastFocusedOptionIndex"),
+    search: /* @__PURE__ */ __name(function search2(event2, query, source) {
+      if (query === void 0 || query === null) {
+        return;
+      }
+      if (source === "input" && query.trim().length === 0) {
+        return;
+      }
+      this.searching = true;
+      this.$emit("complete", {
+        originalEvent: event2,
+        query
+      });
+    }, "search"),
+    removeOption: /* @__PURE__ */ __name(function removeOption2(event2, index2) {
+      var _this14 = this;
+      var removedOption = this.modelValue[index2];
+      var value3 = this.modelValue.filter(function(_2, i2) {
+        return i2 !== index2;
+      }).map(function(option4) {
+        return _this14.getOptionValue(option4);
+      });
+      this.updateModel(event2, value3);
+      this.$emit("item-unselect", {
+        originalEvent: event2,
+        value: removedOption
+      });
+      this.$emit("option-unselect", {
+        originalEvent: event2,
+        value: removedOption
+      });
+      this.dirty = true;
+      focus(this.multiple ? this.$refs.focusInput : this.$refs.focusInput.$el);
+    }, "removeOption"),
+    changeFocusedOptionIndex: /* @__PURE__ */ __name(function changeFocusedOptionIndex3(event2, index2) {
+      if (this.focusedOptionIndex !== index2) {
+        this.focusedOptionIndex = index2;
+        this.scrollInView();
+        if (this.selectOnFocus) {
+          this.onOptionSelect(event2, this.visibleOptions[index2], false);
+        }
+      }
+    }, "changeFocusedOptionIndex"),
+    scrollInView: /* @__PURE__ */ __name(function scrollInView5() {
+      var _this15 = this;
+      var index2 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : -1;
+      this.$nextTick(function() {
+        var id2 = index2 !== -1 ? "".concat(_this15.id, "_").concat(index2) : _this15.focusedOptionId;
+        var element = findSingle(_this15.list, 'li[id="'.concat(id2, '"]'));
+        if (element) {
+          element.scrollIntoView && element.scrollIntoView({
+            block: "nearest",
+            inline: "start"
+          });
+        } else if (!_this15.virtualScrollerDisabled) {
+          _this15.virtualScroller && _this15.virtualScroller.scrollToIndex(index2 !== -1 ? index2 : _this15.focusedOptionIndex);
+        }
+      });
+    }, "scrollInView"),
+    autoUpdateModel: /* @__PURE__ */ __name(function autoUpdateModel3() {
+      if (this.selectOnFocus && this.autoOptionFocus && !this.hasSelectedOption) {
+        this.focusedOptionIndex = this.findFirstFocusedOptionIndex();
+        this.onOptionSelect(null, this.visibleOptions[this.focusedOptionIndex], false);
+      }
+    }, "autoUpdateModel"),
+    updateModel: /* @__PURE__ */ __name(function updateModel5(event2, value3) {
+      this.$emit("update:modelValue", value3);
+      this.$emit("change", {
+        originalEvent: event2,
+        value: value3
+      });
+    }, "updateModel"),
+    flatOptions: /* @__PURE__ */ __name(function flatOptions3(options3) {
+      var _this16 = this;
+      return (options3 || []).reduce(function(result, option4, index2) {
+        result.push({
+          optionGroup: option4,
+          group: true,
+          index: index2
+        });
+        var optionGroupChildren = _this16.getOptionGroupChildren(option4);
+        optionGroupChildren && optionGroupChildren.forEach(function(o) {
+          return result.push(o);
+        });
+        return result;
+      }, []);
+    }, "flatOptions"),
+    overlayRef: /* @__PURE__ */ __name(function overlayRef2(el) {
+      this.overlay = el;
+    }, "overlayRef"),
+    listRef: /* @__PURE__ */ __name(function listRef3(el, contentRef3) {
+      this.list = el;
+      contentRef3 && contentRef3(el);
+    }, "listRef"),
+    virtualScrollerRef: /* @__PURE__ */ __name(function virtualScrollerRef3(el) {
+      this.virtualScroller = el;
+    }, "virtualScrollerRef")
+  },
+  computed: {
+    visibleOptions: /* @__PURE__ */ __name(function visibleOptions3() {
+      return this.optionGroupLabel ? this.flatOptions(this.suggestions) : this.suggestions || [];
+    }, "visibleOptions"),
+    inputValue: /* @__PURE__ */ __name(function inputValue() {
+      if (isNotEmpty(this.modelValue)) {
+        if (_typeof$1$3(this.modelValue) === "object") {
+          var label5 = this.getOptionLabel(this.modelValue);
+          return label5 != null ? label5 : this.modelValue;
+        } else {
+          return this.modelValue;
+        }
+      } else {
+        return "";
+      }
+    }, "inputValue"),
+    hasSelectedOption: /* @__PURE__ */ __name(function hasSelectedOption3() {
+      return isNotEmpty(this.modelValue);
+    }, "hasSelectedOption"),
+    equalityKey: /* @__PURE__ */ __name(function equalityKey3() {
+      return this.dataKey;
+    }, "equalityKey"),
+    searchResultMessageText: /* @__PURE__ */ __name(function searchResultMessageText() {
+      return isNotEmpty(this.visibleOptions) && this.overlayVisible ? this.searchMessageText.replaceAll("{0}", this.visibleOptions.length) : this.emptySearchMessageText;
+    }, "searchResultMessageText"),
+    searchMessageText: /* @__PURE__ */ __name(function searchMessageText() {
+      return this.searchMessage || this.$primevue.config.locale.searchMessage || "";
+    }, "searchMessageText"),
+    emptySearchMessageText: /* @__PURE__ */ __name(function emptySearchMessageText() {
+      return this.emptySearchMessage || this.$primevue.config.locale.emptySearchMessage || "";
+    }, "emptySearchMessageText"),
+    selectionMessageText: /* @__PURE__ */ __name(function selectionMessageText3() {
+      return this.selectionMessage || this.$primevue.config.locale.selectionMessage || "";
+    }, "selectionMessageText"),
+    emptySelectionMessageText: /* @__PURE__ */ __name(function emptySelectionMessageText3() {
+      return this.emptySelectionMessage || this.$primevue.config.locale.emptySelectionMessage || "";
+    }, "emptySelectionMessageText"),
+    selectedMessageText: /* @__PURE__ */ __name(function selectedMessageText3() {
+      return this.hasSelectedOption ? this.selectionMessageText.replaceAll("{0}", this.multiple ? this.modelValue.length : "1") : this.emptySelectionMessageText;
+    }, "selectedMessageText"),
+    listAriaLabel: /* @__PURE__ */ __name(function listAriaLabel() {
+      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.listLabel : void 0;
+    }, "listAriaLabel"),
+    focusedOptionId: /* @__PURE__ */ __name(function focusedOptionId3() {
+      return this.focusedOptionIndex !== -1 ? "".concat(this.id, "_").concat(this.focusedOptionIndex) : null;
+    }, "focusedOptionId"),
+    focusedMultipleOptionId: /* @__PURE__ */ __name(function focusedMultipleOptionId() {
+      return this.focusedMultipleOptionIndex !== -1 ? "".concat(this.id, "_multiple_option_").concat(this.focusedMultipleOptionIndex) : null;
+    }, "focusedMultipleOptionId"),
+    ariaSetSize: /* @__PURE__ */ __name(function ariaSetSize3() {
+      var _this17 = this;
+      return this.visibleOptions.filter(function(option4) {
+        return !_this17.isOptionGroup(option4);
+      }).length;
+    }, "ariaSetSize"),
+    virtualScrollerDisabled: /* @__PURE__ */ __name(function virtualScrollerDisabled3() {
+      return !this.virtualScrollerOptions;
+    }, "virtualScrollerDisabled"),
+    panelId: /* @__PURE__ */ __name(function panelId() {
+      return this.id + "_panel";
+    }, "panelId")
+  },
+  components: {
+    InputText: script$O,
+    VirtualScroller: script$M,
+    Portal: script$z,
+    ChevronDownIcon: script$B,
+    SpinnerIcon: script$N,
+    Chip: script$t
+  },
+  directives: {
+    ripple: Ripple
+  }
+};
+function _typeof$8(o) {
+  "@babel/helpers - typeof";
+  return _typeof$8 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$8(o);
+}
+__name(_typeof$8, "_typeof$8");
+function ownKeys$9(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$9, "ownKeys$9");
+function _objectSpread$9(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$9(Object(t), true).forEach(function(r2) {
+      _defineProperty$8(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$9(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$9, "_objectSpread$9");
+function _defineProperty$8(e, r, t) {
+  return (r = _toPropertyKey$7(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$8, "_defineProperty$8");
+function _toPropertyKey$7(t) {
+  var i2 = _toPrimitive$7(t, "string");
+  return "symbol" == _typeof$8(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$7, "_toPropertyKey$7");
+function _toPrimitive$7(t, r) {
+  if ("object" != _typeof$8(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$8(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$7, "_toPrimitive$7");
+var _hoisted_1$x = ["aria-activedescendant"];
+var _hoisted_2$o = ["id", "aria-label", "aria-setsize", "aria-posinset"];
+var _hoisted_3$b = ["id", "placeholder", "tabindex", "disabled", "aria-label", "aria-labelledby", "aria-expanded", "aria-controls", "aria-activedescendant", "aria-invalid"];
+var _hoisted_4$8 = ["disabled", "aria-expanded", "aria-controls"];
+var _hoisted_5$6 = ["id"];
+var _hoisted_6$5 = ["id", "aria-label"];
+var _hoisted_7$4 = ["id"];
+var _hoisted_8$3 = ["id", "aria-label", "aria-selected", "aria-disabled", "aria-setsize", "aria-posinset", "onClick", "onMousemove", "data-p-selected", "data-p-focus", "data-p-disabled"];
+function render$m(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_InputText = resolveComponent("InputText");
+  var _component_Chip = resolveComponent("Chip");
+  var _component_SpinnerIcon = resolveComponent("SpinnerIcon");
+  var _component_VirtualScroller = resolveComponent("VirtualScroller");
+  var _component_Portal = resolveComponent("Portal");
+  var _directive_ripple = resolveDirective("ripple");
+  return openBlock(), createElementBlock("div", mergeProps({
+    ref: "container",
+    "class": _ctx.cx("root"),
+    style: _ctx.sx("root"),
+    onClick: _cache[11] || (_cache[11] = function() {
+      return $options.onContainerClick && $options.onContainerClick.apply($options, arguments);
+    })
+  }, _ctx.ptmi("root")), [!_ctx.multiple ? (openBlock(), createBlock(_component_InputText, {
+    key: 0,
+    ref: "focusInput",
+    id: _ctx.inputId,
+    type: "text",
+    "class": normalizeClass([_ctx.cx("pcInput"), _ctx.inputClass]),
+    style: normalizeStyle(_ctx.inputStyle),
+    value: $options.inputValue,
+    placeholder: _ctx.placeholder,
+    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,
+    disabled: _ctx.disabled,
+    invalid: _ctx.invalid,
+    variant: _ctx.variant,
+    autocomplete: "off",
+    role: "combobox",
+    "aria-label": _ctx.ariaLabel,
+    "aria-labelledby": _ctx.ariaLabelledby,
+    "aria-haspopup": "listbox",
+    "aria-autocomplete": "list",
+    "aria-expanded": $data.overlayVisible,
+    "aria-controls": $options.panelId,
+    "aria-activedescendant": $data.focused ? $options.focusedOptionId : void 0,
+    onFocus: $options.onFocus,
+    onBlur: $options.onBlur,
+    onKeydown: $options.onKeyDown,
+    onInput: $options.onInput,
+    onChange: $options.onChange,
+    unstyled: _ctx.unstyled,
+    pt: _ctx.ptm("pcInput")
+  }, null, 8, ["id", "class", "style", "value", "placeholder", "tabindex", "disabled", "invalid", "variant", "aria-label", "aria-labelledby", "aria-expanded", "aria-controls", "aria-activedescendant", "onFocus", "onBlur", "onKeydown", "onInput", "onChange", "unstyled", "pt"])) : createCommentVNode("", true), _ctx.multiple ? (openBlock(), createElementBlock("ul", mergeProps({
+    key: 1,
+    ref: "multiContainer",
+    "class": _ctx.cx("inputMultiple"),
+    tabindex: "-1",
+    role: "listbox",
+    "aria-orientation": "horizontal",
+    "aria-activedescendant": $data.focused ? $options.focusedMultipleOptionId : void 0,
+    onFocus: _cache[5] || (_cache[5] = function() {
+      return $options.onMultipleContainerFocus && $options.onMultipleContainerFocus.apply($options, arguments);
+    }),
+    onBlur: _cache[6] || (_cache[6] = function() {
+      return $options.onMultipleContainerBlur && $options.onMultipleContainerBlur.apply($options, arguments);
+    }),
+    onKeydown: _cache[7] || (_cache[7] = function() {
+      return $options.onMultipleContainerKeyDown && $options.onMultipleContainerKeyDown.apply($options, arguments);
+    })
+  }, _ctx.ptm("inputMultiple")), [(openBlock(true), createElementBlock(Fragment, null, renderList(_ctx.modelValue, function(option4, i2) {
+    return openBlock(), createElementBlock("li", mergeProps({
+      key: "".concat(i2, "_").concat($options.getOptionLabel(option4)),
+      id: $data.id + "_multiple_option_" + i2,
+      "class": _ctx.cx("chipItem", {
+        i: i2
+      }),
+      role: "option",
+      "aria-label": $options.getOptionLabel(option4),
+      "aria-selected": true,
+      "aria-setsize": _ctx.modelValue.length,
+      "aria-posinset": i2 + 1,
+      ref_for: true
+    }, _ctx.ptm("chipItem")), [renderSlot(_ctx.$slots, "chip", mergeProps({
+      "class": _ctx.cx("pcChip"),
+      value: option4,
+      index: i2,
+      removeCallback: /* @__PURE__ */ __name(function removeCallback(event2) {
+        return $options.removeOption(event2, i2);
+      }, "removeCallback"),
+      ref_for: true
+    }, _ctx.ptm("pcChip")), function() {
+      return [createVNode(_component_Chip, {
+        "class": normalizeClass(_ctx.cx("pcChip")),
+        label: $options.getOptionLabel(option4),
+        removeIcon: _ctx.chipIcon || _ctx.removeTokenIcon,
+        removable: "",
+        unstyled: _ctx.unstyled,
+        onRemove: /* @__PURE__ */ __name(function onRemove2($event) {
+          return $options.removeOption($event, i2);
+        }, "onRemove"),
+        pt: _ctx.ptm("pcChip")
+      }, {
+        removeicon: withCtx(function() {
+          return [renderSlot(_ctx.$slots, _ctx.$slots.chipicon ? "chipicon" : "removetokenicon", {
+            "class": normalizeClass(_ctx.cx("chipIcon")),
+            index: i2,
+            removeCallback: /* @__PURE__ */ __name(function removeCallback(event2) {
+              return $options.removeOption(event2, i2);
+            }, "removeCallback")
+          })];
+        }),
+        _: 2
+      }, 1032, ["class", "label", "removeIcon", "unstyled", "onRemove", "pt"])];
+    })], 16, _hoisted_2$o);
+  }), 128)), createBaseVNode("li", mergeProps({
+    "class": _ctx.cx("inputChip"),
+    role: "option"
+  }, _ctx.ptm("inputChip")), [createBaseVNode("input", mergeProps({
+    ref: "focusInput",
+    id: _ctx.inputId,
+    type: "text",
+    style: _ctx.inputStyle,
+    "class": _ctx.inputClass,
+    placeholder: _ctx.placeholder,
+    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,
+    disabled: _ctx.disabled,
+    autocomplete: "off",
+    role: "combobox",
+    "aria-label": _ctx.ariaLabel,
+    "aria-labelledby": _ctx.ariaLabelledby,
+    "aria-haspopup": "listbox",
+    "aria-autocomplete": "list",
+    "aria-expanded": $data.overlayVisible,
+    "aria-controls": $data.id + "_list",
+    "aria-activedescendant": $data.focused ? $options.focusedOptionId : void 0,
+    "aria-invalid": _ctx.invalid || void 0,
+    onFocus: _cache[0] || (_cache[0] = function() {
+      return $options.onFocus && $options.onFocus.apply($options, arguments);
+    }),
+    onBlur: _cache[1] || (_cache[1] = function() {
+      return $options.onBlur && $options.onBlur.apply($options, arguments);
+    }),
+    onKeydown: _cache[2] || (_cache[2] = function() {
+      return $options.onKeyDown && $options.onKeyDown.apply($options, arguments);
+    }),
+    onInput: _cache[3] || (_cache[3] = function() {
+      return $options.onInput && $options.onInput.apply($options, arguments);
+    }),
+    onChange: _cache[4] || (_cache[4] = function() {
+      return $options.onChange && $options.onChange.apply($options, arguments);
+    })
+  }, _ctx.ptm("input")), null, 16, _hoisted_3$b)], 16)], 16, _hoisted_1$x)) : createCommentVNode("", true), $data.searching || _ctx.loading ? renderSlot(_ctx.$slots, _ctx.$slots.loader ? "loader" : "loadingicon", {
+    key: 2,
+    "class": normalizeClass(_ctx.cx("loader"))
+  }, function() {
+    return [_ctx.loader || _ctx.loadingIcon ? (openBlock(), createElementBlock("i", mergeProps({
+      key: 0,
+      "class": ["pi-spin", _ctx.cx("loader"), _ctx.loader, _ctx.loadingIcon],
+      "aria-hidden": "true"
+    }, _ctx.ptm("loader")), null, 16)) : (openBlock(), createBlock(_component_SpinnerIcon, mergeProps({
+      key: 1,
+      "class": _ctx.cx("loader"),
+      spin: "",
+      "aria-hidden": "true"
+    }, _ctx.ptm("loader")), null, 16, ["class"]))];
+  }) : createCommentVNode("", true), renderSlot(_ctx.$slots, _ctx.$slots.dropdown ? "dropdown" : "dropdownbutton", {
+    toggleCallback: /* @__PURE__ */ __name(function toggleCallback(event2) {
+      return $options.onDropdownClick(event2);
+    }, "toggleCallback")
+  }, function() {
+    return [_ctx.dropdown ? (openBlock(), createElementBlock("button", mergeProps({
+      key: 0,
+      ref: "dropdownButton",
+      type: "button",
+      "class": [_ctx.cx("dropdown"), _ctx.dropdownClass],
+      disabled: _ctx.disabled,
+      "aria-haspopup": "listbox",
+      "aria-expanded": $data.overlayVisible,
+      "aria-controls": $options.panelId,
+      onClick: _cache[8] || (_cache[8] = function() {
+        return $options.onDropdownClick && $options.onDropdownClick.apply($options, arguments);
+      })
+    }, _ctx.ptm("dropdown")), [renderSlot(_ctx.$slots, "dropdownicon", {
+      "class": normalizeClass(_ctx.dropdownIcon)
+    }, function() {
+      return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.dropdownIcon ? "span" : "ChevronDownIcon"), mergeProps({
+        "class": _ctx.dropdownIcon
+      }, _ctx.ptm("dropdownIcon")), null, 16, ["class"]))];
+    })], 16, _hoisted_4$8)) : createCommentVNode("", true)];
+  }), createBaseVNode("span", mergeProps({
+    role: "status",
+    "aria-live": "polite",
+    "class": "p-hidden-accessible"
+  }, _ctx.ptm("hiddenSearchResult"), {
+    "data-p-hidden-accessible": true
+  }), toDisplayString$1($options.searchResultMessageText), 17), createVNode(_component_Portal, {
+    appendTo: _ctx.appendTo
+  }, {
+    "default": withCtx(function() {
+      return [createVNode(Transition, mergeProps({
+        name: "p-connected-overlay",
+        onEnter: $options.onOverlayEnter,
+        onAfterEnter: $options.onOverlayAfterEnter,
+        onLeave: $options.onOverlayLeave,
+        onAfterLeave: $options.onOverlayAfterLeave
+      }, _ctx.ptm("transition")), {
+        "default": withCtx(function() {
+          return [$data.overlayVisible ? (openBlock(), createElementBlock("div", mergeProps({
+            key: 0,
+            ref: $options.overlayRef,
+            id: $options.panelId,
+            "class": [_ctx.cx("overlay"), _ctx.panelClass, _ctx.overlayClass],
+            style: _objectSpread$9(_objectSpread$9(_objectSpread$9({}, _ctx.panelStyle), _ctx.overlayStyle), {}, {
+              "max-height": $options.virtualScrollerDisabled ? _ctx.scrollHeight : ""
+            }),
+            onClick: _cache[9] || (_cache[9] = function() {
+              return $options.onOverlayClick && $options.onOverlayClick.apply($options, arguments);
+            }),
+            onKeydown: _cache[10] || (_cache[10] = function() {
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+      };
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+      el.$_pfocustrap_focusoutlistener && el.removeEventListener("focusout", el.$_pfocustrap_focusoutlistener) && (el.$_pfocustrap_focusoutlistener = null);
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+      var focusableElement = getFirstFocusableElement(el, "[autofocus]".concat(this.getComputedSelector(autoFocusSelector)));
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+      var _this2 = this;
+      var _ref5 = binding.value || {}, _ref5$tabIndex = _ref5.tabIndex, tabIndex = _ref5$tabIndex === void 0 ? 0 : _ref5$tabIndex, _ref5$firstFocusableS = _ref5.firstFocusableSelector, firstFocusableSelector = _ref5$firstFocusableS === void 0 ? "" : _ref5$firstFocusableS, _ref5$lastFocusableSe = _ref5.lastFocusableSelector, lastFocusableSelector = _ref5$lastFocusableSe === void 0 ? "" : _ref5$lastFocusableSe;
+      var createFocusableElement = /* @__PURE__ */ __name(function createFocusableElement2(onFocus8) {
+        return createElement("span", {
+          "class": "p-hidden-accessible p-hidden-focusable",
+          tabIndex,
+          role: "presentation",
+          "aria-hidden": true,
+          "data-p-hidden-accessible": true,
+          "data-p-hidden-focusable": true,
+          onFocus: onFocus8 === null || onFocus8 === void 0 ? void 0 : onFocus8.bind(_this2)
+        });
+      }, "createFocusableElement");
+      var firstFocusableElement = createFocusableElement(this.onFirstHiddenElementFocus);
+      var lastFocusableElement = createFocusableElement(this.onLastHiddenElementFocus);
+      firstFocusableElement.$_pfocustrap_lasthiddenfocusableelement = lastFocusableElement;
+      firstFocusableElement.$_pfocustrap_focusableselector = firstFocusableSelector;
+      firstFocusableElement.setAttribute("data-pc-section", "firstfocusableelement");
+      lastFocusableElement.$_pfocustrap_firsthiddenfocusableelement = firstFocusableElement;
+      lastFocusableElement.$_pfocustrap_focusableselector = lastFocusableSelector;
+      lastFocusableElement.setAttribute("data-pc-section", "lastfocusableelement");
+      el.prepend(firstFocusableElement);
+      el.append(lastFocusableElement);
+    }, "createHiddenFocusableElements")
+  }
+});
+var theme$b = /* @__PURE__ */ __name(function theme26(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-dialog {\n    max-height: 90%;\n    transform: scale(1);\n    border-radius: ".concat(dt3("dialog.border.radius"), ";\n    box-shadow: ").concat(dt3("dialog.shadow"), ";\n    background: ").concat(dt3("dialog.background"), ";\n    border: 1px solid ").concat(dt3("dialog.border.color"), ";\n    color: ").concat(dt3("dialog.color"), ";\n}\n\n.p-dialog-content {\n    overflow-y: auto;\n    padding: ").concat(dt3("dialog.content.padding"), ";\n}\n\n.p-dialog-header {\n    display: flex;\n    align-items: center;\n    justify-content: space-between;\n    flex-shrink: 0;\n    padding: ").concat(dt3("dialog.header.padding"), ";\n}\n\n.p-dialog-title {\n    font-weight: ").concat(dt3("dialog.title.font.weight"), ";\n    font-size: ").concat(dt3("dialog.title.font.size"), ";\n}\n\n.p-dialog-footer {\n    flex-shrink: 0;\n    padding: ").concat(dt3("dialog.footer.padding"), ";\n    display: flex;\n    justify-content: flex-end;\n    gap: ").concat(dt3("dialog.footer.gap"), ";\n}\n\n.p-dialog-header-actions {\n    display: flex;\n    align-items: center;\n    gap: ").concat(dt3("dialog.header.gap"), ";\n}\n.p-dialog-enter-active {\n    transition: all 150ms cubic-bezier(0, 0, 0.2, 1);\n}\n\n.p-dialog-leave-active {\n    transition: all 150ms cubic-bezier(0.4, 0, 0.2, 1);\n}\n\n.p-dialog-enter-from,\n.p-dialog-leave-to {\n    opacity: 0;\n    transform: scale(0.7);\n}\n\n.p-dialog-top .p-dialog,\n.p-dialog-bottom .p-dialog,\n.p-dialog-left .p-dialog,\n.p-dialog-right .p-dialog,\n.p-dialog-topleft .p-dialog,\n.p-dialog-topright .p-dialog,\n.p-dialog-bottomleft .p-dialog,\n.p-dialog-bottomright .p-dialog {\n    margin: 0.75rem;\n    transform: translate3d(0px, 0px, 0px);\n}\n\n.p-dialog-top .p-dialog-enter-active,\n.p-dialog-top .p-dialog-leave-active,\n.p-dialog-bottom .p-dialog-enter-active,\n.p-dialog-bottom .p-dialog-leave-active,\n.p-dialog-left .p-dialog-enter-active,\n.p-dialog-left .p-dialog-leave-active,\n.p-dialog-right .p-dialog-enter-active,\n.p-dialog-right .p-dialog-leave-active,\n.p-dialog-topleft .p-dialog-enter-active,\n.p-dialog-topleft .p-dialog-leave-active,\n.p-dialog-topright .p-dialog-enter-active,\n.p-dialog-topright .p-dialog-leave-active,\n.p-dialog-bottomleft .p-dialog-enter-active,\n.p-dialog-bottomleft .p-dialog-leave-active,\n.p-dialog-bottomright .p-dialog-enter-active,\n.p-dialog-bottomright .p-dialog-leave-active {\n    transition: all 0.3s ease-out;\n}\n\n.p-dialog-top .p-dialog-enter-from,\n.p-dialog-top .p-dialog-leave-to {\n    transform: translate3d(0px, -100%, 0px);\n}\n\n.p-dialog-bottom .p-dialog-enter-from,\n.p-dialog-bottom .p-dialog-leave-to {\n    transform: translate3d(0px, 100%, 0px);\n}\n\n.p-dialog-left .p-dialog-enter-from,\n.p-dialog-left .p-dialog-leave-to,\n.p-dialog-topleft .p-dialog-enter-from,\n.p-dialog-topleft .p-dialog-leave-to,\n.p-dialog-bottomleft .p-dialog-enter-from,\n.p-dialog-bottomleft .p-dialog-leave-to {\n    transform: translate3d(-100%, 0px, 0px);\n}\n\n.p-dialog-right .p-dialog-enter-from,\n.p-dialog-right .p-dialog-leave-to,\n.p-dialog-topright .p-dialog-enter-from,\n.p-dialog-topright .p-dialog-leave-to,\n.p-dialog-bottomright .p-dialog-enter-from,\n.p-dialog-bottomright .p-dialog-leave-to {\n    transform: translate3d(100%, 0px, 0px);\n}\n\n.p-dialog-maximized {\n    width: 100vw !important;\n    height: 100vh !important;\n    top: 0px !important;\n    left: 0px !important;\n    max-height: 100%;\n    height: 100%;\n    border-radius: 0;\n}\n\n.p-dialog-maximized .p-dialog-content {\n    flex-grow: 1;\n}\n");
+}, "theme");
+var inlineStyles$1 = {
+  mask: /* @__PURE__ */ __name(function mask(_ref2) {
+    var position2 = _ref2.position, modal = _ref2.modal;
+    return {
+      position: "fixed",
+      height: "100%",
+      width: "100%",
+      left: 0,
+      top: 0,
+      display: "flex",
+      justifyContent: position2 === "left" || position2 === "topleft" || position2 === "bottomleft" ? "flex-start" : position2 === "right" || position2 === "topright" || position2 === "bottomright" ? "flex-end" : "center",
+      alignItems: position2 === "top" || position2 === "topleft" || position2 === "topright" ? "flex-start" : position2 === "bottom" || position2 === "bottomleft" || position2 === "bottomright" ? "flex-end" : "center",
+      pointerEvents: modal ? "auto" : "none"
+    };
+  }, "mask"),
+  root: {
+    display: "flex",
+    flexDirection: "column",
+    pointerEvents: "auto"
+  }
+};
+var classes$b = {
+  mask: /* @__PURE__ */ __name(function mask2(_ref3) {
+    var props = _ref3.props;
+    var positions = ["left", "right", "top", "topleft", "topright", "bottom", "bottomleft", "bottomright"];
+    var pos2 = positions.find(function(item2) {
+      return item2 === props.position;
+    });
+    return ["p-dialog-mask", {
+      "p-overlay-mask p-overlay-mask-enter": props.modal
+    }, pos2 ? "p-dialog-".concat(pos2) : ""];
+  }, "mask"),
+  root: /* @__PURE__ */ __name(function root18(_ref4) {
+    var props = _ref4.props, instance = _ref4.instance;
+    return ["p-dialog p-component", {
+      "p-dialog-maximized": props.maximizable && instance.maximized
+    }];
+  }, "root"),
+  header: "p-dialog-header",
+  title: "p-dialog-title",
+  headerActions: "p-dialog-header-actions",
+  pcMaximizeButton: "p-dialog-maximize-button",
+  pcCloseButton: "p-dialog-close-button",
+  content: "p-dialog-content",
+  footer: "p-dialog-footer"
+};
+var DialogStyle = BaseStyle.extend({
+  name: "dialog",
+  theme: theme$b,
+  classes: classes$b,
+  inlineStyles: inlineStyles$1
+});
+var script$1$b = {
+  name: "BaseDialog",
+  "extends": script$X,
+  props: {
+    header: {
+      type: null,
+      "default": null
+    },
+    footer: {
+      type: null,
+      "default": null
+    },
+    visible: {
+      type: Boolean,
+      "default": false
+    },
+    modal: {
+      type: Boolean,
+      "default": null
+    },
+    contentStyle: {
+      type: null,
+      "default": null
+    },
+    contentClass: {
+      type: String,
+      "default": null
+    },
+    contentProps: {
+      type: null,
+      "default": null
+    },
+    maximizable: {
+      type: Boolean,
+      "default": false
+    },
+    dismissableMask: {
+      type: Boolean,
+      "default": false
+    },
+    closable: {
+      type: Boolean,
+      "default": true
+    },
+    closeOnEscape: {
+      type: Boolean,
+      "default": true
+    },
+    showHeader: {
+      type: Boolean,
+      "default": true
+    },
+    blockScroll: {
+      type: Boolean,
+      "default": false
+    },
+    baseZIndex: {
+      type: Number,
+      "default": 0
+    },
+    autoZIndex: {
+      type: Boolean,
+      "default": true
+    },
+    position: {
+      type: String,
+      "default": "center"
+    },
+    breakpoints: {
+      type: Object,
+      "default": null
+    },
+    draggable: {
+      type: Boolean,
+      "default": true
+    },
+    keepInViewport: {
+      type: Boolean,
+      "default": true
+    },
+    minX: {
+      type: Number,
+      "default": 0
+    },
+    minY: {
+      type: Number,
+      "default": 0
+    },
+    appendTo: {
+      type: [String, Object],
+      "default": "body"
+    },
+    closeIcon: {
+      type: String,
+      "default": void 0
+    },
+    maximizeIcon: {
+      type: String,
+      "default": void 0
+    },
+    minimizeIcon: {
+      type: String,
+      "default": void 0
+    },
+    closeButtonProps: {
+      type: Object,
+      "default": /* @__PURE__ */ __name(function _default2() {
+        return {
+          severity: "secondary",
+          text: true,
+          rounded: true
+        };
+      }, "_default")
+    },
+    maximizeButtonProps: {
+      type: Object,
+      "default": /* @__PURE__ */ __name(function _default3() {
+        return {
+          severity: "secondary",
+          text: true,
+          rounded: true
+        };
+      }, "_default")
+    },
+    _instance: null
+  },
+  style: DialogStyle,
+  provide: /* @__PURE__ */ __name(function provide28() {
+    return {
+      $pcDialog: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$k = {
+  name: "Dialog",
+  "extends": script$1$b,
+  inheritAttrs: false,
+  emits: ["update:visible", "show", "hide", "after-hide", "maximize", "unmaximize", "dragend"],
+  provide: /* @__PURE__ */ __name(function provide29() {
+    var _this = this;
+    return {
+      dialogRef: computed(function() {
+        return _this._instance;
+      })
+    };
+  }, "provide"),
+  data: /* @__PURE__ */ __name(function data13() {
+    return {
+      id: this.$attrs.id,
+      containerVisible: this.visible,
+      maximized: false,
+      focusableMax: null,
+      focusableClose: null
+    };
+  }, "data"),
+  watch: {
+    "$attrs.id": /* @__PURE__ */ __name(function $attrsId6(newValue) {
+      this.id = newValue || UniqueComponentId();
+    }, "$attrsId")
+  },
+  documentKeydownListener: null,
+  container: null,
+  mask: null,
+  content: null,
+  headerContainer: null,
+  footerContainer: null,
+  maximizableButton: null,
+  closeButton: null,
+  styleElement: null,
+  dragging: null,
+  documentDragListener: null,
+  documentDragEndListener: null,
+  lastPageX: null,
+  lastPageY: null,
+  updated: /* @__PURE__ */ __name(function updated8() {
+    if (this.visible) {
+      this.containerVisible = this.visible;
+    }
+  }, "updated"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount7() {
+    this.unbindDocumentState();
+    this.unbindGlobalListeners();
+    this.destroyStyle();
+    if (this.mask && this.autoZIndex) {
+      ZIndex.clear(this.mask);
+    }
+    this.container = null;
+    this.mask = null;
+  }, "beforeUnmount"),
+  mounted: /* @__PURE__ */ __name(function mounted12() {
+    this.id = this.id || UniqueComponentId();
+    if (this.breakpoints) {
+      this.createStyle();
+    }
+  }, "mounted"),
+  methods: {
+    close: /* @__PURE__ */ __name(function close2() {
+      this.$emit("update:visible", false);
+    }, "close"),
+    onBeforeEnter: /* @__PURE__ */ __name(function onBeforeEnter(el) {
+      el.setAttribute(this.attributeSelector, "");
+    }, "onBeforeEnter"),
+    onEnter: /* @__PURE__ */ __name(function onEnter() {
+      this.$emit("show");
+      this.focus();
+      this.enableDocumentSettings();
+      this.bindGlobalListeners();
+      if (this.autoZIndex) {
+        ZIndex.set("modal", this.mask, this.baseZIndex + this.$primevue.config.zIndex.modal);
+      }
+    }, "onEnter"),
+    onBeforeLeave: /* @__PURE__ */ __name(function onBeforeLeave() {
+      if (this.modal) {
+        !this.isUnstyled && addClass(this.mask, "p-overlay-mask-leave");
+      }
+    }, "onBeforeLeave"),
+    onLeave: /* @__PURE__ */ __name(function onLeave() {
+      this.$emit("hide");
+      this.focusableClose = null;
+      this.focusableMax = null;
+    }, "onLeave"),
+    onAfterLeave: /* @__PURE__ */ __name(function onAfterLeave() {
+      if (this.autoZIndex) {
+        ZIndex.clear(this.mask);
+      }
+      this.containerVisible = false;
+      this.unbindDocumentState();
+      this.unbindGlobalListeners();
+      this.$emit("after-hide");
+    }, "onAfterLeave"),
+    onMaskClick: /* @__PURE__ */ __name(function onMaskClick(event2) {
+      if (this.dismissableMask && this.modal && this.mask === event2.target) {
+        this.close();
+      }
+    }, "onMaskClick"),
+    focus: /* @__PURE__ */ __name(function focus$1() {
+      var findFocusableElement = /* @__PURE__ */ __name(function findFocusableElement2(container) {
+        return container && container.querySelector("[autofocus]");
+      }, "findFocusableElement");
+      var focusTarget = this.$slots.footer && findFocusableElement(this.footerContainer);
+      if (!focusTarget) {
+        focusTarget = this.$slots.header && findFocusableElement(this.headerContainer);
+        if (!focusTarget) {
+          focusTarget = this.$slots["default"] && findFocusableElement(this.content);
+          if (!focusTarget) {
+            if (this.maximizable) {
+              this.focusableMax = true;
+              focusTarget = this.maximizableButton;
+            } else {
+              this.focusableClose = true;
+              focusTarget = this.closeButton;
+            }
+          }
+        }
+      }
+      if (focusTarget) {
+        focus(focusTarget, {
+          focusVisible: true
+        });
+      }
+    }, "focus$1"),
+    maximize: /* @__PURE__ */ __name(function maximize(event2) {
+      if (this.maximized) {
+        this.maximized = false;
+        this.$emit("unmaximize", event2);
+      } else {
+        this.maximized = true;
+        this.$emit("maximize", event2);
+      }
+      if (!this.modal) {
+        this.maximized ? blockBodyScroll() : unblockBodyScroll();
+      }
+    }, "maximize"),
+    enableDocumentSettings: /* @__PURE__ */ __name(function enableDocumentSettings() {
+      if (this.modal || !this.modal && this.blockScroll || this.maximizable && this.maximized) {
+        blockBodyScroll();
+      }
+    }, "enableDocumentSettings"),
+    unbindDocumentState: /* @__PURE__ */ __name(function unbindDocumentState() {
+      if (this.modal || !this.modal && this.blockScroll || this.maximizable && this.maximized) {
+        unblockBodyScroll();
+      }
+    }, "unbindDocumentState"),
+    onKeyDown: /* @__PURE__ */ __name(function onKeyDown6(event2) {
+      if (event2.code === "Escape" && this.closeOnEscape) {
+        this.close();
+      }
+    }, "onKeyDown"),
+    bindDocumentKeyDownListener: /* @__PURE__ */ __name(function bindDocumentKeyDownListener() {
+      if (!this.documentKeydownListener) {
+        this.documentKeydownListener = this.onKeyDown.bind(this);
+        window.document.addEventListener("keydown", this.documentKeydownListener);
+      }
+    }, "bindDocumentKeyDownListener"),
+    unbindDocumentKeyDownListener: /* @__PURE__ */ __name(function unbindDocumentKeyDownListener() {
+      if (this.documentKeydownListener) {
+        window.document.removeEventListener("keydown", this.documentKeydownListener);
+        this.documentKeydownListener = null;
+      }
+    }, "unbindDocumentKeyDownListener"),
+    containerRef: /* @__PURE__ */ __name(function containerRef(el) {
+      this.container = el;
+    }, "containerRef"),
+    maskRef: /* @__PURE__ */ __name(function maskRef(el) {
+      this.mask = el;
+    }, "maskRef"),
+    contentRef: /* @__PURE__ */ __name(function contentRef2(el) {
+      this.content = el;
+    }, "contentRef"),
+    headerContainerRef: /* @__PURE__ */ __name(function headerContainerRef(el) {
+      this.headerContainer = el;
+    }, "headerContainerRef"),
+    footerContainerRef: /* @__PURE__ */ __name(function footerContainerRef(el) {
+      this.footerContainer = el;
+    }, "footerContainerRef"),
+    maximizableRef: /* @__PURE__ */ __name(function maximizableRef(el) {
+      this.maximizableButton = el ? el.$el : void 0;
+    }, "maximizableRef"),
+    closeButtonRef: /* @__PURE__ */ __name(function closeButtonRef(el) {
+      this.closeButton = el ? el.$el : void 0;
+    }, "closeButtonRef"),
+    createStyle: /* @__PURE__ */ __name(function createStyle() {
+      if (!this.styleElement && !this.isUnstyled) {
+        var _this$$primevue;
+        this.styleElement = document.createElement("style");
+        this.styleElement.type = "text/css";
+        setAttribute(this.styleElement, "nonce", (_this$$primevue = this.$primevue) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.config) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.csp) === null || _this$$primevue === void 0 ? void 0 : _this$$primevue.nonce);
+        document.head.appendChild(this.styleElement);
+        var innerHTML = "";
+        for (var breakpoint in this.breakpoints) {
+          innerHTML += "\n                        @media screen and (max-width: ".concat(breakpoint, ") {\n                            .p-dialog[").concat(this.attributeSelector, "] {\n                                width: ").concat(this.breakpoints[breakpoint], " !important;\n                            }\n                        }\n                    ");
+        }
+        this.styleElement.innerHTML = innerHTML;
+      }
+    }, "createStyle"),
+    destroyStyle: /* @__PURE__ */ __name(function destroyStyle() {
+      if (this.styleElement) {
+        document.head.removeChild(this.styleElement);
+        this.styleElement = null;
+      }
+    }, "destroyStyle"),
+    initDrag: /* @__PURE__ */ __name(function initDrag(event2) {
+      if (event2.target.closest("div").getAttribute("data-pc-section") === "headeractions") {
+        return;
+      }
+      if (this.draggable) {
+        this.dragging = true;
+        this.lastPageX = event2.pageX;
+        this.lastPageY = event2.pageY;
+        this.container.style.margin = "0";
+        document.body.setAttribute("data-p-unselectable-text", "true");
+        !this.isUnstyled && addStyle(document.body, {
+          "user-select": "none"
+        });
+      }
+    }, "initDrag"),
+    bindGlobalListeners: /* @__PURE__ */ __name(function bindGlobalListeners() {
+      if (this.draggable) {
+        this.bindDocumentDragListener();
+        this.bindDocumentDragEndListener();
+      }
+      if (this.closeOnEscape && this.closable) {
+        this.bindDocumentKeyDownListener();
+      }
+    }, "bindGlobalListeners"),
+    unbindGlobalListeners: /* @__PURE__ */ __name(function unbindGlobalListeners() {
+      this.unbindDocumentDragListener();
+      this.unbindDocumentDragEndListener();
+      this.unbindDocumentKeyDownListener();
+    }, "unbindGlobalListeners"),
+    bindDocumentDragListener: /* @__PURE__ */ __name(function bindDocumentDragListener() {
+      var _this2 = this;
+      this.documentDragListener = function(event2) {
+        if (_this2.dragging) {
+          var width2 = getOuterWidth(_this2.container);
+          var height = getOuterHeight(_this2.container);
+          var deltaX = event2.pageX - _this2.lastPageX;
+          var deltaY = event2.pageY - _this2.lastPageY;
+          var offset = _this2.container.getBoundingClientRect();
+          var leftPos = offset.left + deltaX;
+          var topPos = offset.top + deltaY;
+          var viewport = getViewport();
+          var containerComputedStyle = getComputedStyle(_this2.container);
+          var marginLeft = parseFloat(containerComputedStyle.marginLeft);
+          var marginTop = parseFloat(containerComputedStyle.marginTop);
+          _this2.container.style.position = "fixed";
+          if (_this2.keepInViewport) {
+            if (leftPos >= _this2.minX && leftPos + width2 < viewport.width) {
+              _this2.lastPageX = event2.pageX;
+              _this2.container.style.left = leftPos - marginLeft + "px";
+            }
+            if (topPos >= _this2.minY && topPos + height < viewport.height) {
+              _this2.lastPageY = event2.pageY;
+              _this2.container.style.top = topPos - marginTop + "px";
+            }
+          } else {
+            _this2.lastPageX = event2.pageX;
+            _this2.container.style.left = leftPos - marginLeft + "px";
+            _this2.lastPageY = event2.pageY;
+            _this2.container.style.top = topPos - marginTop + "px";
+          }
+        }
+      };
+      window.document.addEventListener("mousemove", this.documentDragListener);
+    }, "bindDocumentDragListener"),
+    unbindDocumentDragListener: /* @__PURE__ */ __name(function unbindDocumentDragListener() {
+      if (this.documentDragListener) {
+        window.document.removeEventListener("mousemove", this.documentDragListener);
+        this.documentDragListener = null;
+      }
+    }, "unbindDocumentDragListener"),
+    bindDocumentDragEndListener: /* @__PURE__ */ __name(function bindDocumentDragEndListener() {
+      var _this3 = this;
+      this.documentDragEndListener = function(event2) {
+        if (_this3.dragging) {
+          _this3.dragging = false;
+          document.body.removeAttribute("data-p-unselectable-text");
+          !_this3.isUnstyled && (document.body.style["user-select"] = "");
+          _this3.$emit("dragend", event2);
+        }
+      };
+      window.document.addEventListener("mouseup", this.documentDragEndListener);
+    }, "bindDocumentDragEndListener"),
+    unbindDocumentDragEndListener: /* @__PURE__ */ __name(function unbindDocumentDragEndListener() {
+      if (this.documentDragEndListener) {
+        window.document.removeEventListener("mouseup", this.documentDragEndListener);
+        this.documentDragEndListener = null;
+      }
+    }, "unbindDocumentDragEndListener")
+  },
+  computed: {
+    maximizeIconComponent: /* @__PURE__ */ __name(function maximizeIconComponent() {
+      return this.maximized ? this.minimizeIcon ? "span" : "WindowMinimizeIcon" : this.maximizeIcon ? "span" : "WindowMaximizeIcon";
+    }, "maximizeIconComponent"),
+    ariaLabelledById: /* @__PURE__ */ __name(function ariaLabelledById() {
+      return this.header != null || this.$attrs["aria-labelledby"] !== null ? this.id + "_header" : null;
+    }, "ariaLabelledById"),
+    closeAriaLabel: /* @__PURE__ */ __name(function closeAriaLabel() {
+      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.close : void 0;
+    }, "closeAriaLabel"),
+    attributeSelector: /* @__PURE__ */ __name(function attributeSelector() {
+      return UniqueComponentId();
+    }, "attributeSelector")
+  },
+  directives: {
+    ripple: Ripple,
+    focustrap: FocusTrap
+  },
+  components: {
+    Button: script$J,
+    Portal: script$z,
+    WindowMinimizeIcon: script$l,
+    WindowMaximizeIcon: script$m,
+    TimesIcon: script$A
+  }
+};
+function _typeof$6(o) {
+  "@babel/helpers - typeof";
+  return _typeof$6 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$6(o);
+}
+__name(_typeof$6, "_typeof$6");
+function ownKeys$7(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$7, "ownKeys$7");
+function _objectSpread$7(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$7(Object(t), true).forEach(function(r2) {
+      _defineProperty$6(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$7(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$7, "_objectSpread$7");
+function _defineProperty$6(e, r, t) {
+  return (r = _toPropertyKey$5(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$6, "_defineProperty$6");
+function _toPropertyKey$5(t) {
+  var i2 = _toPrimitive$5(t, "string");
+  return "symbol" == _typeof$6(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$5, "_toPropertyKey$5");
+function _toPrimitive$5(t, r) {
+  if ("object" != _typeof$6(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$6(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$5, "_toPrimitive$5");
+var _hoisted_1$u = ["aria-labelledby", "aria-modal"];
+var _hoisted_2$l = ["id"];
+function render$j(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_Button = resolveComponent("Button");
+  var _component_Portal = resolveComponent("Portal");
+  var _directive_focustrap = resolveDirective("focustrap");
+  return openBlock(), createBlock(_component_Portal, {
+    appendTo: _ctx.appendTo
+  }, {
+    "default": withCtx(function() {
+      return [$data.containerVisible ? (openBlock(), createElementBlock("div", mergeProps({
+        key: 0,
+        ref: $options.maskRef,
+        "class": _ctx.cx("mask"),
+        style: _ctx.sx("mask", true, {
+          position: _ctx.position,
+          modal: _ctx.modal
+        }),
+        onClick: _cache[1] || (_cache[1] = function() {
+          return $options.onMaskClick && $options.onMaskClick.apply($options, arguments);
+        })
+      }, _ctx.ptm("mask")), [createVNode(Transition, mergeProps({
+        name: "p-dialog",
+        onBeforeEnter: $options.onBeforeEnter,
+        onEnter: $options.onEnter,
+        onBeforeLeave: $options.onBeforeLeave,
+        onLeave: $options.onLeave,
+        onAfterLeave: $options.onAfterLeave,
+        appear: ""
+      }, _ctx.ptm("transition")), {
+        "default": withCtx(function() {
+          return [_ctx.visible ? withDirectives((openBlock(), createElementBlock("div", mergeProps({
+            key: 0,
+            ref: $options.containerRef,
+            "class": _ctx.cx("root"),
+            style: _ctx.sx("root"),
+            role: "dialog",
+            "aria-labelledby": $options.ariaLabelledById,
+            "aria-modal": _ctx.modal
+          }, _ctx.ptmi("root")), [_ctx.$slots.container ? renderSlot(_ctx.$slots, "container", {
+            key: 0,
+            closeCallback: $options.close,
+            maximizeCallback: /* @__PURE__ */ __name(function maximizeCallback(event2) {
+              return $options.maximize(event2);
+            }, "maximizeCallback")
+          }) : (openBlock(), createElementBlock(Fragment, {
+            key: 1
+          }, [_ctx.showHeader ? (openBlock(), createElementBlock("div", mergeProps({
+            key: 0,
+            ref: $options.headerContainerRef,
+            "class": _ctx.cx("header"),
+            onMousedown: _cache[0] || (_cache[0] = function() {
+              return $options.initDrag && $options.initDrag.apply($options, arguments);
+            })
+          }, _ctx.ptm("header")), [renderSlot(_ctx.$slots, "header", {
+            "class": normalizeClass(_ctx.cx("title"))
+          }, function() {
+            return [_ctx.header ? (openBlock(), createElementBlock("span", mergeProps({
+              key: 0,
+              id: $options.ariaLabelledById,
+              "class": _ctx.cx("title")
+            }, _ctx.ptm("title")), toDisplayString$1(_ctx.header), 17, _hoisted_2$l)) : createCommentVNode("", true)];
+          }), createBaseVNode("div", mergeProps({
+            "class": _ctx.cx("headerActions")
+          }, _ctx.ptm("headerActions")), [_ctx.maximizable ? (openBlock(), createBlock(_component_Button, mergeProps({
+            key: 0,
+            ref: $options.maximizableRef,
+            autofocus: $data.focusableMax,
+            "class": _ctx.cx("pcMaximizeButton"),
+            onClick: $options.maximize,
+            tabindex: _ctx.maximizable ? "0" : "-1",
+            unstyled: _ctx.unstyled
+          }, _ctx.maximizeButtonProps, {
+            pt: _ctx.ptm("pcMaximizeButton"),
+            "data-pc-group-section": "headericon"
+          }), {
+            icon: withCtx(function(slotProps) {
+              return [renderSlot(_ctx.$slots, "maximizeicon", {
+                maximized: $data.maximized
+              }, function() {
+                return [(openBlock(), createBlock(resolveDynamicComponent($options.maximizeIconComponent), mergeProps({
+                  "class": [slotProps["class"], $data.maximized ? _ctx.minimizeIcon : _ctx.maximizeIcon]
+                }, _ctx.ptm("pcMaximizeButton")["icon"]), null, 16, ["class"]))];
+              })];
+            }),
+            _: 3
+          }, 16, ["autofocus", "class", "onClick", "tabindex", "unstyled", "pt"])) : createCommentVNode("", true), _ctx.closable ? (openBlock(), createBlock(_component_Button, mergeProps({
+            key: 1,
+            ref: $options.closeButtonRef,
+            autofocus: $data.focusableClose,
+            "class": _ctx.cx("pcCloseButton"),
+            onClick: $options.close,
+            "aria-label": $options.closeAriaLabel,
+            unstyled: _ctx.unstyled
+          }, _ctx.closeButtonProps, {
+            pt: _ctx.ptm("pcCloseButton"),
+            "data-pc-group-section": "headericon"
+          }), {
+            icon: withCtx(function(slotProps) {
+              return [renderSlot(_ctx.$slots, "closeicon", {}, function() {
+                return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.closeIcon ? "span" : "TimesIcon"), mergeProps({
+                  "class": [_ctx.closeIcon, slotProps["class"]]
+                }, _ctx.ptm("pcCloseButton")["icon"]), null, 16, ["class"]))];
+              })];
+            }),
+            _: 3
+          }, 16, ["autofocus", "class", "onClick", "aria-label", "unstyled", "pt"])) : createCommentVNode("", true)], 16)], 16)) : createCommentVNode("", true), createBaseVNode("div", mergeProps({
+            ref: $options.contentRef,
+            "class": [_ctx.cx("content"), _ctx.contentClass],
+            style: _ctx.contentStyle
+          }, _objectSpread$7(_objectSpread$7({}, _ctx.contentProps), _ctx.ptm("content"))), [renderSlot(_ctx.$slots, "default")], 16), _ctx.footer || _ctx.$slots.footer ? (openBlock(), createElementBlock("div", mergeProps({
+            key: 1,
+            ref: $options.footerContainerRef,
+            "class": _ctx.cx("footer")
+          }, _ctx.ptm("footer")), [renderSlot(_ctx.$slots, "footer", {}, function() {
+            return [createTextVNode(toDisplayString$1(_ctx.footer), 1)];
+          })], 16)) : createCommentVNode("", true)], 64))], 16, _hoisted_1$u)), [[_directive_focustrap, {
+            disabled: !_ctx.modal
+          }]]) : createCommentVNode("", true)];
+        }),
+        _: 3
+      }, 16, ["onBeforeEnter", "onEnter", "onBeforeLeave", "onLeave", "onAfterLeave"])], 16)) : createCommentVNode("", true)];
+    }),
+    _: 3
+  }, 8, ["appendTo"]);
+}
+__name(render$j, "render$j");
+script$k.render = render$j;
+var theme$a = /* @__PURE__ */ __name(function theme27(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-togglebutton {\n    display: inline-flex;\n    cursor: pointer;\n    user-select: none;\n    align-items: center;\n    justify-content: center;\n    overflow: hidden;\n    position: relative;\n    color: ".concat(dt3("togglebutton.color"), ";\n    background: ").concat(dt3("togglebutton.background"), ";\n    border: 1px solid ").concat(dt3("togglebutton.border.color"), ";\n    padding: ").concat(dt3("togglebutton.padding"), ";\n    font-size: 1rem;\n    font-family: inherit;\n    font-feature-settings: inherit;\n    transition: background ").concat(dt3("togglebutton.transition.duration"), ", color ").concat(dt3("togglebutton.transition.duration"), ", border-color ").concat(dt3("togglebutton.transition.duration"), ",\n        outline-color ").concat(dt3("togglebutton.transition.duration"), ", box-shadow ").concat(dt3("togglebutton.transition.duration"), ";\n    border-radius: ").concat(dt3("togglebutton.border.radius"), ";\n    outline-color: transparent;\n    font-weight: ").concat(dt3("togglebutton.font.weight"), ";\n}\n\n.p-togglebutton-content {\n    position: relative;\n    display: inline-flex;\n    align-items: center;\n    justify-content: center;\n    gap: ").concat(dt3("togglebutton.gap"), ';\n}\n\n.p-togglebutton-label,\n.p-togglebutton-icon {\n    position: relative;\n    transition: none;\n}\n\n.p-togglebutton::before {\n    content: "";\n    background: transparent;\n    transition: background ').concat(dt3("togglebutton.transition.duration"), ", color ").concat(dt3("togglebutton.transition.duration"), ", border-color ").concat(dt3("togglebutton.transition.duration"), ",\n            outline-color ").concat(dt3("togglebutton.transition.duration"), ", box-shadow ").concat(dt3("togglebutton.transition.duration"), ";\n    position: absolute;\n    left: ").concat(dt3("togglebutton.content.left"), ";\n    top: ").concat(dt3("togglebutton.content.top"), ";\n    width: calc(100% - calc(2 *  ").concat(dt3("togglebutton.content.left"), "));\n    height: calc(100% - calc(2 *  ").concat(dt3("togglebutton.content.top"), "));\n    border-radius: ").concat(dt3("togglebutton.border.radius"), ";\n}\n\n.p-togglebutton.p-togglebutton-checked::before {\n    background: ").concat(dt3("togglebutton.content.checked.background"), ";\n    box-shadow: ").concat(dt3("togglebutton.content.checked.shadow"), ";\n}\n\n.p-togglebutton:not(:disabled):not(.p-togglebutton-checked):hover {\n    background: ").concat(dt3("togglebutton.hover.background"), ";\n    color: ").concat(dt3("togglebutton.hover.color"), ";\n}\n\n.p-togglebutton.p-togglebutton-checked {\n    background: ").concat(dt3("togglebutton.checked.background"), ";\n    border-color: ").concat(dt3("togglebutton.checked.border.color"), ";\n    color: ").concat(dt3("togglebutton.checked.color"), ";\n}\n\n.p-togglebutton:focus-visible {\n    box-shadow: ").concat(dt3("togglebutton.focus.ring.shadow"), ";\n    outline: ").concat(dt3("togglebutton.focus.ring.width"), " ").concat(dt3("togglebutton.focus.ring.style"), " ").concat(dt3("togglebutton.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("togglebutton.focus.ring.offset"), ";\n}\n\n.p-togglebutton.p-invalid {\n    border-color: ").concat(dt3("togglebutton.invalid.border.color"), ";\n}\n\n.p-togglebutton:disabled {\n    opacity: 1;\n    cursor: default;\n    background: ").concat(dt3("togglebutton.disabled.background"), ";\n    border-color: ").concat(dt3("togglebutton.disabled.border.color"), ";\n    color: ").concat(dt3("togglebutton.disabled.color"), ";\n}\n\n.p-togglebutton-icon {\n    color: ").concat(dt3("togglebutton.icon.color"), ";\n}\n\n.p-togglebutton:not(:disabled):not(.p-togglebutton-checked):hover .p-togglebutton-icon {\n    color: ").concat(dt3("togglebutton.icon.hover.color"), ";\n}\n\n.p-togglebutton.p-togglebutton-checked .p-togglebutton-icon {\n    color: ").concat(dt3("togglebutton.icon.checked.color"), ";\n}\n\n.p-togglebutton:disabled .p-togglebutton-icon {\n    color: ").concat(dt3("togglebutton.icon.disabled.color"), ";\n}\n");
+}, "theme");
+var classes$a = {
+  root: /* @__PURE__ */ __name(function root19(_ref2) {
+    var instance = _ref2.instance, props = _ref2.props;
+    return ["p-togglebutton p-component", {
+      "p-togglebutton-checked": instance.active,
+      "p-invalid": props.invalid
+    }];
+  }, "root"),
+  content: "p-togglebutton-content",
+  icon: "p-togglebutton-icon",
+  label: "p-togglebutton-label"
+};
+var ToggleButtonStyle = BaseStyle.extend({
+  name: "togglebutton",
+  theme: theme$a,
+  classes: classes$a
+});
+var script$1$a = {
+  name: "BaseToggleButton",
+  "extends": script$X,
+  props: {
+    modelValue: Boolean,
+    onIcon: String,
+    offIcon: String,
+    onLabel: {
+      type: String,
+      "default": "Yes"
+    },
+    offLabel: {
+      type: String,
+      "default": "No"
+    },
+    iconPos: {
+      type: String,
+      "default": "left"
+    },
+    invalid: {
+      type: Boolean,
+      "default": false
+    },
+    disabled: {
+      type: Boolean,
+      "default": false
+    },
+    readonly: {
+      type: Boolean,
+      "default": false
+    },
+    tabindex: {
+      type: Number,
+      "default": null
+    },
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    }
+  },
+  style: ToggleButtonStyle,
+  provide: /* @__PURE__ */ __name(function provide30() {
+    return {
+      $pcToggleButton: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$j = {
+  name: "ToggleButton",
+  "extends": script$1$a,
+  inheritAttrs: false,
+  emits: ["update:modelValue", "change"],
+  methods: {
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions8(key) {
+      var _ptm = key === "root" ? this.ptmi : this.ptm;
+      return _ptm(key, {
+        context: {
+          active: this.active,
+          disabled: this.disabled
+        }
+      });
+    }, "getPTOptions"),
+    onChange: /* @__PURE__ */ __name(function onChange3(event2) {
+      if (!this.disabled && !this.readonly) {
+        this.$emit("update:modelValue", !this.modelValue);
+        this.$emit("change", event2);
+      }
+    }, "onChange")
+  },
+  computed: {
+    active: /* @__PURE__ */ __name(function active2() {
+      return this.modelValue === true;
+    }, "active"),
+    hasLabel: /* @__PURE__ */ __name(function hasLabel() {
+      return isNotEmpty(this.onLabel) && isNotEmpty(this.offLabel);
+    }, "hasLabel"),
+    label: /* @__PURE__ */ __name(function label3() {
+      return this.hasLabel ? this.modelValue ? this.onLabel : this.offLabel : "&nbsp;";
+    }, "label")
+  },
+  directives: {
+    ripple: Ripple
+  }
+};
+var _hoisted_1$t = ["tabindex", "disabled", "aria-pressed", "data-p-checked", "data-p-disabled"];
+function render$i(_ctx, _cache, $props, $setup, $data, $options) {
+  var _directive_ripple = resolveDirective("ripple");
+  return withDirectives((openBlock(), createElementBlock("button", mergeProps({
+    type: "button",
+    "class": _ctx.cx("root"),
+    tabindex: _ctx.tabindex,
+    disabled: _ctx.disabled,
+    "aria-pressed": _ctx.modelValue,
+    onClick: _cache[0] || (_cache[0] = function() {
+      return $options.onChange && $options.onChange.apply($options, arguments);
+    })
+  }, $options.getPTOptions("root"), {
+    "data-p-checked": $options.active,
+    "data-p-disabled": _ctx.disabled
+  }), [createBaseVNode("span", mergeProps({
+    "class": _ctx.cx("content")
+  }, $options.getPTOptions("content")), [renderSlot(_ctx.$slots, "default", {}, function() {
+    return [renderSlot(_ctx.$slots, "icon", {
+      value: _ctx.modelValue,
+      "class": normalizeClass(_ctx.cx("icon"))
+    }, function() {
+      return [_ctx.onIcon || _ctx.offIcon ? (openBlock(), createElementBlock("span", mergeProps({
+        key: 0,
+        "class": [_ctx.cx("icon"), _ctx.modelValue ? _ctx.onIcon : _ctx.offIcon]
+      }, $options.getPTOptions("icon")), null, 16)) : createCommentVNode("", true)];
+    }), createBaseVNode("span", mergeProps({
+      "class": _ctx.cx("label")
+    }, $options.getPTOptions("label")), toDisplayString$1($options.label), 17)];
+  })], 16)], 16, _hoisted_1$t)), [[_directive_ripple]]);
+}
+__name(render$i, "render$i");
+script$j.render = render$i;
+var theme$9 = /* @__PURE__ */ __name(function theme28(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-selectbutton {\n    display: inline-flex;\n    user-select: none;\n    vertical-align: bottom;\n    outline-color: transparent;\n    border-radius: ".concat(dt3("selectbutton.border.radius"), ";\n}\n\n.p-selectbutton .p-togglebutton {\n    border-radius: 0;\n    border-width: 1px 1px 1px 0;\n}\n\n.p-selectbutton .p-togglebutton:focus-visible {\n    position: relative;\n    z-index: 1;\n}\n\n.p-selectbutton .p-togglebutton:first-child {\n    border-left-width: 1px;\n    border-top-left-radius: ").concat(dt3("selectbutton.border.radius"), ";\n    border-bottom-left-radius: ").concat(dt3("selectbutton.border.radius"), ";\n}\n\n.p-selectbutton .p-togglebutton:last-child {\n    border-top-right-radius: ").concat(dt3("selectbutton.border.radius"), ";\n    border-bottom-right-radius: ").concat(dt3("selectbutton.border.radius"), ";\n}\n\n.p-selectbutton.p-invalid {\n    outline: 1px solid ").concat(dt3("selectbutton.invalid.border.color"), ";\n    outline-offset: 0;\n}\n");
+}, "theme");
+var classes$9 = {
+  root: /* @__PURE__ */ __name(function root20(_ref2) {
+    var props = _ref2.props;
+    return ["p-selectbutton p-component", {
+      "p-invalid": props.invalid
+    }];
+  }, "root")
+};
+var SelectButtonStyle = BaseStyle.extend({
+  name: "selectbutton",
+  theme: theme$9,
+  classes: classes$9
+});
+var script$1$9 = {
+  name: "BaseSelectButton",
+  "extends": script$X,
+  props: {
+    modelValue: null,
+    options: Array,
+    optionLabel: null,
+    optionValue: null,
+    optionDisabled: null,
+    multiple: Boolean,
+    allowEmpty: {
+      type: Boolean,
+      "default": true
+    },
+    invalid: {
+      type: Boolean,
+      "default": false
+    },
+    disabled: Boolean,
+    dataKey: null,
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    }
+  },
+  style: SelectButtonStyle,
+  provide: /* @__PURE__ */ __name(function provide31() {
+    return {
+      $pcSelectButton: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+function _createForOfIteratorHelper$4(r, e) {
+  var t = "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (!t) {
+    if (Array.isArray(r) || (t = _unsupportedIterableToArray$8(r)) || e) {
+      t && (r = t);
+      var _n = 0, F = /* @__PURE__ */ __name(function F2() {
+      }, "F");
+      return { s: F, n: /* @__PURE__ */ __name(function n() {
+        return _n >= r.length ? { done: true } : { done: false, value: r[_n++] };
+      }, "n"), e: /* @__PURE__ */ __name(function e2(r2) {
+        throw r2;
+      }, "e"), f: F };
+    }
+    throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+  }
+  var o, a = true, u = false;
+  return { s: /* @__PURE__ */ __name(function s() {
+    t = t.call(r);
+  }, "s"), n: /* @__PURE__ */ __name(function n() {
+    var r2 = t.next();
+    return a = r2.done, r2;
+  }, "n"), e: /* @__PURE__ */ __name(function e2(r2) {
+    u = true, o = r2;
+  }, "e"), f: /* @__PURE__ */ __name(function f() {
+    try {
+      a || null == t["return"] || t["return"]();
+    } finally {
+      if (u) throw o;
+    }
+  }, "f") };
+}
+__name(_createForOfIteratorHelper$4, "_createForOfIteratorHelper$4");
+function _toConsumableArray$6(r) {
+  return _arrayWithoutHoles$6(r) || _iterableToArray$6(r) || _unsupportedIterableToArray$8(r) || _nonIterableSpread$6();
+}
+__name(_toConsumableArray$6, "_toConsumableArray$6");
+function _nonIterableSpread$6() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$6, "_nonIterableSpread$6");
+function _unsupportedIterableToArray$8(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$8(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$8(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$8, "_unsupportedIterableToArray$8");
+function _iterableToArray$6(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$6, "_iterableToArray$6");
+function _arrayWithoutHoles$6(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$8(r);
+}
+__name(_arrayWithoutHoles$6, "_arrayWithoutHoles$6");
+function _arrayLikeToArray$8(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$8, "_arrayLikeToArray$8");
+var script$i = {
+  name: "SelectButton",
+  "extends": script$1$9,
+  inheritAttrs: false,
+  emits: ["update:modelValue", "change"],
+  methods: {
+    getOptionLabel: /* @__PURE__ */ __name(function getOptionLabel4(option4) {
+      return this.optionLabel ? resolveFieldData(option4, this.optionLabel) : option4;
+    }, "getOptionLabel"),
+    getOptionValue: /* @__PURE__ */ __name(function getOptionValue5(option4) {
+      return this.optionValue ? resolveFieldData(option4, this.optionValue) : option4;
+    }, "getOptionValue"),
+    getOptionRenderKey: /* @__PURE__ */ __name(function getOptionRenderKey4(option4) {
+      return this.dataKey ? resolveFieldData(option4, this.dataKey) : this.getOptionLabel(option4);
+    }, "getOptionRenderKey"),
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions9(option4, key) {
+      return this.ptm(key, {
+        context: {
+          active: this.isSelected(option4),
+          disabled: this.isOptionDisabled(option4),
+          option: option4
+        }
+      });
+    }, "getPTOptions"),
+    isOptionDisabled: /* @__PURE__ */ __name(function isOptionDisabled4(option4) {
+      return this.optionDisabled ? resolveFieldData(option4, this.optionDisabled) : false;
+    }, "isOptionDisabled"),
+    onOptionSelect: /* @__PURE__ */ __name(function onOptionSelect4(event2, option4, index2) {
+      var _this = this;
+      if (this.disabled || this.isOptionDisabled(option4)) {
+        return;
+      }
+      var selected2 = this.isSelected(option4);
+      if (selected2 && !this.allowEmpty) {
+        return;
+      }
+      var optionValue = this.getOptionValue(option4);
+      var newValue;
+      if (this.multiple) {
+        if (selected2) newValue = this.modelValue.filter(function(val) {
+          return !equals(val, optionValue, _this.equalityKey);
+        });
+        else newValue = this.modelValue ? [].concat(_toConsumableArray$6(this.modelValue), [optionValue]) : [optionValue];
+      } else {
+        newValue = selected2 ? null : optionValue;
+      }
+      this.focusedIndex = index2;
+      this.$emit("update:modelValue", newValue);
+      this.$emit("change", {
+        event: event2,
+        value: newValue
+      });
+    }, "onOptionSelect"),
+    isSelected: /* @__PURE__ */ __name(function isSelected4(option4) {
+      var selected2 = false;
+      var optionValue = this.getOptionValue(option4);
+      if (this.multiple) {
+        if (this.modelValue) {
+          var _iterator = _createForOfIteratorHelper$4(this.modelValue), _step;
+          try {
+            for (_iterator.s(); !(_step = _iterator.n()).done; ) {
+              var val = _step.value;
+              if (equals(val, optionValue, this.equalityKey)) {
+                selected2 = true;
+                break;
+              }
+            }
+          } catch (err) {
+            _iterator.e(err);
+          } finally {
+            _iterator.f();
+          }
+        }
+      } else {
+        selected2 = equals(this.modelValue, optionValue, this.equalityKey);
+      }
+      return selected2;
+    }, "isSelected")
+  },
+  computed: {
+    equalityKey: /* @__PURE__ */ __name(function equalityKey4() {
+      return this.optionValue ? null : this.dataKey;
+    }, "equalityKey")
+  },
+  directives: {
+    ripple: Ripple
+  },
+  components: {
+    ToggleButton: script$j
+  }
+};
+var _hoisted_1$s = ["aria-labelledby"];
+function render$h(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_ToggleButton = resolveComponent("ToggleButton");
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root"),
+    role: "group",
+    "aria-labelledby": _ctx.ariaLabelledby
+  }, _ctx.ptmi("root")), [(openBlock(true), createElementBlock(Fragment, null, renderList(_ctx.options, function(option4, index2) {
+    return openBlock(), createBlock(_component_ToggleButton, {
+      key: $options.getOptionRenderKey(option4),
+      modelValue: $options.isSelected(option4),
+      onLabel: $options.getOptionLabel(option4),
+      offLabel: $options.getOptionLabel(option4),
+      disabled: _ctx.disabled || $options.isOptionDisabled(option4),
+      unstyled: _ctx.unstyled,
+      onChange: /* @__PURE__ */ __name(function onChange5($event) {
+        return $options.onOptionSelect($event, option4, index2);
+      }, "onChange"),
+      pt: _ctx.ptm("pcButton")
+    }, createSlots({
+      _: 2
+    }, [_ctx.$slots.option ? {
+      name: "default",
+      fn: withCtx(function() {
+        return [renderSlot(_ctx.$slots, "option", {
+          option: option4,
+          index: index2
+        }, function() {
+          return [createBaseVNode("span", mergeProps({
+            ref_for: true
+          }, _ctx.ptm("pcButton")["label"]), toDisplayString$1($options.getOptionLabel(option4)), 17)];
+        })];
+      }),
+      key: "0"
+    } : void 0]), 1032, ["modelValue", "onLabel", "offLabel", "disabled", "unstyled", "onChange", "pt"]);
+  }), 128))], 16, _hoisted_1$s);
+}
+__name(render$h, "render$h");
+script$i.render = render$h;
+const _withScopeId$a = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-def4f809"), n = n(), popScopeId(), n), "_withScopeId$a");
+const _hoisted_1$r = { class: "_content" };
+const _hoisted_2$k = { class: "_footer" };
+const _sfc_main$j = /* @__PURE__ */ defineComponent({
+  __name: "NodeSearchFilter",
+  emits: ["addFilter"],
+  setup(__props, { emit: __emit }) {
+    const filters = computed(() => nodeDefStore.nodeSearchService.nodeFilters);
+    const selectedFilter = ref();
+    const filterValues = computed(() => selectedFilter.value?.fuseSearch.data ?? []);
+    const selectedFilterValue = ref("");
+    const nodeDefStore = useNodeDefStore();
+    onMounted(() => {
+      selectedFilter.value = nodeDefStore.nodeSearchService.nodeFilters[0];
+      updateSelectedFilterValue();
+    });
+    const emit2 = __emit;
+    const updateSelectedFilterValue = /* @__PURE__ */ __name(() => {
+      if (filterValues.value.includes(selectedFilterValue.value)) {
+        return;
+      }
+      selectedFilterValue.value = filterValues.value[0];
+    }, "updateSelectedFilterValue");
+    const submit = /* @__PURE__ */ __name(() => {
+      emit2("addFilter", [
+        selectedFilter.value,
+        selectedFilterValue.value
+      ]);
+    }, "submit");
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock(Fragment, null, [
+        createBaseVNode("div", _hoisted_1$r, [
+          createVNode(unref(script$i), {
+            modelValue: selectedFilter.value,
+            "onUpdate:modelValue": _cache[0] || (_cache[0] = ($event) => selectedFilter.value = $event),
+            options: filters.value,
+            allowEmpty: false,
+            optionLabel: "name",
+            onChange: updateSelectedFilterValue
+          }, null, 8, ["modelValue", "options"]),
+          createVNode(unref(script$y), {
+            modelValue: selectedFilterValue.value,
+            "onUpdate:modelValue": _cache[1] || (_cache[1] = ($event) => selectedFilterValue.value = $event),
+            options: filterValues.value,
+            filter: ""
+          }, null, 8, ["modelValue", "options"])
+        ]),
+        createBaseVNode("div", _hoisted_2$k, [
+          createVNode(unref(script$J), {
+            type: "button",
+            label: _ctx.$t("add"),
+            onClick: submit
+          }, null, 8, ["label"])
+        ])
+      ], 64);
+    };
+  }
+});
+const NodeSearchFilter = /* @__PURE__ */ _export_sfc(_sfc_main$j, [["__scopeId", "data-v-def4f809"]]);
+const _sfc_main$i = /* @__PURE__ */ defineComponent({
+  __name: "NodeSourceChip",
+  props: {
+    python_module: {
+      type: String,
+      required: true
+    }
+  },
+  setup(__props) {
+    const props = __props;
+    const nodeSource = computed(() => getNodeSource(props.python_module));
+    return (_ctx, _cache) => {
+      return openBlock(), createBlock(unref(script$t), {
+        class: normalizeClass(nodeSource.value.className)
+      }, {
+        default: withCtx(() => [
+          createTextVNode(toDisplayString$1(nodeSource.value.displayText), 1)
+        ]),
+        _: 1
+      }, 8, ["class"]);
+    };
+  }
+});
+const NodeSourceChip = /* @__PURE__ */ _export_sfc(_sfc_main$i, [["__scopeId", "data-v-b0730aa8"]]);
+const _withScopeId$9 = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-cbec679a"), n = n(), popScopeId(), n), "_withScopeId$9");
+const _hoisted_1$q = { class: "_sb_node_preview" };
+const _hoisted_2$j = { class: "_sb_table" };
+const _hoisted_3$a = { class: "node_header" };
+const _hoisted_4$7 = /* @__PURE__ */ _withScopeId$9(() => /* @__PURE__ */ createBaseVNode("div", { class: "_sb_dot headdot" }, null, -1));
+const _hoisted_5$5 = /* @__PURE__ */ _withScopeId$9(() => /* @__PURE__ */ createBaseVNode("div", { class: "_sb_preview_badge" }, "PREVIEW", -1));
+const _hoisted_6$4 = { class: "_sb_col" };
+const _hoisted_7$3 = { class: "_sb_col" };
+const _hoisted_8$2 = /* @__PURE__ */ _withScopeId$9(() => /* @__PURE__ */ createBaseVNode("div", { class: "_sb_col middle-column" }, null, -1));
+const _hoisted_9$2 = { class: "_sb_col _sb_inherit" };
+const _hoisted_10$1 = { class: "_sb_col" };
+const _hoisted_11$1 = /* @__PURE__ */ _withScopeId$9(() => /* @__PURE__ */ createBaseVNode("div", { class: "_sb_col _sb_arrow" }, "◀", -1));
+const _hoisted_12$1 = { class: "_sb_col" };
+const _hoisted_13 = /* @__PURE__ */ _withScopeId$9(() => /* @__PURE__ */ createBaseVNode("div", { class: "_sb_col middle-column" }, null, -1));
+const _hoisted_14 = { class: "_sb_col _sb_inherit" };
+const _hoisted_15 = /* @__PURE__ */ _withScopeId$9(() => /* @__PURE__ */ createBaseVNode("div", { class: "_sb_col _sb_arrow" }, "▶", -1));
+const _hoisted_16 = {
+  key: 0,
+  class: "_sb_description"
+};
+const _sfc_main$h = /* @__PURE__ */ defineComponent({
+  __name: "NodePreview",
+  props: {
+    nodeDef: {
+      type: ComfyNodeDefImpl,
+      required: true
+    }
+  },
+  setup(__props) {
+    const props = __props;
+    const nodeDefStore = useNodeDefStore();
+    const nodeDef = props.nodeDef;
+    const allInputDefs = nodeDef.input.all;
+    const allOutputDefs = nodeDef.output.all;
+    const slotInputDefs = allInputDefs.filter(
+      (input) => !nodeDefStore.inputIsWidget(input)
+    );
+    const widgetInputDefs = allInputDefs.filter(
+      (input) => nodeDefStore.inputIsWidget(input)
+    );
+    const truncateDefaultValue = /* @__PURE__ */ __name((value3, charLimit = 32) => {
+      let stringValue;
+      if (typeof value3 === "object" && value3 !== null) {
+        stringValue = JSON.stringify(value3);
+      } else if (Array.isArray(value3)) {
+        stringValue = JSON.stringify(value3);
+      } else if (typeof value3 === "string") {
+        stringValue = value3;
+      } else {
+        stringValue = String(value3);
+      }
+      return _.truncate(stringValue, { length: charLimit });
+    }, "truncateDefaultValue");
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", _hoisted_1$q, [
+        createBaseVNode("div", _hoisted_2$j, [
+          createBaseVNode("div", _hoisted_3$a, [
+            _hoisted_4$7,
+            createTextVNode(" " + toDisplayString$1(unref(nodeDef).display_name), 1)
+          ]),
+          _hoisted_5$5,
+          (openBlock(true), createElementBlock(Fragment, null, renderList(unref(_).zip(unref(slotInputDefs), unref(allOutputDefs)), ([slotInput, slotOutput]) => {
+            return openBlock(), createElementBlock("div", {
+              class: "_sb_row slot_row",
+              key: (slotInput?.name || "") + (slotOutput?.index.toString() || "")
+            }, [
+              createBaseVNode("div", _hoisted_6$4, [
+                slotInput ? (openBlock(), createElementBlock("div", {
+                  key: 0,
+                  class: normalizeClass(["_sb_dot", slotInput.type])
+                }, null, 2)) : createCommentVNode("", true)
+              ]),
+              createBaseVNode("div", _hoisted_7$3, toDisplayString$1(slotInput ? slotInput.name : ""), 1),
+              _hoisted_8$2,
+              createBaseVNode("div", _hoisted_9$2, toDisplayString$1(slotOutput ? slotOutput.name : ""), 1),
+              createBaseVNode("div", _hoisted_10$1, [
+                slotOutput ? (openBlock(), createElementBlock("div", {
+                  key: 0,
+                  class: normalizeClass(["_sb_dot", slotOutput.type])
+                }, null, 2)) : createCommentVNode("", true)
+              ])
+            ]);
+          }), 128)),
+          (openBlock(true), createElementBlock(Fragment, null, renderList(unref(widgetInputDefs), (widgetInput) => {
+            return openBlock(), createElementBlock("div", {
+              class: "_sb_row _long_field",
+              key: widgetInput.name
+            }, [
+              _hoisted_11$1,
+              createBaseVNode("div", _hoisted_12$1, toDisplayString$1(widgetInput.name), 1),
+              _hoisted_13,
+              createBaseVNode("div", _hoisted_14, toDisplayString$1(truncateDefaultValue(widgetInput.default)), 1),
+              _hoisted_15
+            ]);
+          }), 128))
+        ]),
+        unref(nodeDef).description ? (openBlock(), createElementBlock("div", _hoisted_16, toDisplayString$1(unref(nodeDef).description), 1)) : createCommentVNode("", true)
+      ]);
+    };
+  }
+});
+const NodePreview = /* @__PURE__ */ _export_sfc(_sfc_main$h, [["__scopeId", "data-v-cbec679a"]]);
+const _withScopeId$8 = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-077af1a9"), n = n(), popScopeId(), n), "_withScopeId$8");
+const _hoisted_1$p = { class: "comfy-vue-node-search-container" };
+const _hoisted_2$i = {
+  key: 0,
+  class: "comfy-vue-node-preview-container"
+};
+const _hoisted_3$9 = /* @__PURE__ */ _withScopeId$8(() => /* @__PURE__ */ createBaseVNode("h3", null, "Add node filter condition", -1));
+const _hoisted_4$6 = { class: "_dialog-body" };
+const _hoisted_5$4 = { class: "option-container" };
+const _hoisted_6$3 = { class: "option-display-name" };
+const _hoisted_7$2 = ["innerHTML"];
+const _hoisted_8$1 = {
+  key: 0,
+  class: "option-category"
+};
+const _hoisted_9$1 = { class: "option-badges" };
+const _sfc_main$g = /* @__PURE__ */ defineComponent({
+  __name: "NodeSearchBox",
+  props: {
+    filters: {
+      type: Array
+    },
+    searchLimit: {
+      type: Number,
+      default: 64
+    }
+  },
+  emits: ["addFilter", "removeFilter", "addNode"],
+  setup(__props, { emit: __emit }) {
+    const settingStore = useSettingStore();
+    const { t } = useI18n();
+    const enableNodePreview = computed(
+      () => settingStore.get("Comfy.NodeSearchBoxImpl.NodePreview")
+    );
+    const showCategory = computed(
+      () => settingStore.get("Comfy.NodeSearchBoxImpl.ShowCategory")
+    );
+    const props = __props;
+    const nodeSearchFilterVisible = ref(false);
+    const inputId = `comfy-vue-node-search-box-input-${Math.random()}`;
+    const suggestions2 = ref([]);
+    const hoveredSuggestion = ref(null);
+    const currentQuery = ref("");
+    const placeholder = computed(() => {
+      return props.filters.length === 0 ? t("searchNodes") + "..." : "";
+    });
+    const search3 = /* @__PURE__ */ __name((query) => {
+      currentQuery.value = query;
+      suggestions2.value = [
+        ...useNodeDefStore().nodeSearchService.searchNode(query, props.filters, {
+          limit: props.searchLimit
+        })
+      ];
+    }, "search");
+    const highlightQuery = /* @__PURE__ */ __name((text, query) => {
+      if (!query) return text;
+      const regex = new RegExp(`(${query})`, "gi");
+      return text.replace(regex, '<span class="highlight">$1</span>');
+    }, "highlightQuery");
+    const emit2 = __emit;
+    const reFocusInput = /* @__PURE__ */ __name(() => {
+      const inputElement = document.getElementById(inputId);
+      if (inputElement) {
+        inputElement.blur();
+        inputElement.focus();
+      }
+    }, "reFocusInput");
+    onMounted(reFocusInput);
+    const onAddFilter = /* @__PURE__ */ __name((filterAndValue) => {
+      nodeSearchFilterVisible.value = false;
+      emit2("addFilter", filterAndValue);
+      reFocusInput();
+    }, "onAddFilter");
+    const onRemoveFilter = /* @__PURE__ */ __name((event2, filterAndValue) => {
+      event2.stopPropagation();
+      event2.preventDefault();
+      emit2("removeFilter", filterAndValue);
+      reFocusInput();
+    }, "onRemoveFilter");
+    const setHoverSuggestion = /* @__PURE__ */ __name((index2) => {
+      if (index2 === -1) {
+        hoveredSuggestion.value = null;
+        return;
+      }
+      const value3 = suggestions2.value[index2];
+      hoveredSuggestion.value = value3;
+    }, "setHoverSuggestion");
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", _hoisted_1$p, [
+        enableNodePreview.value ? (openBlock(), createElementBlock("div", _hoisted_2$i, [
+          hoveredSuggestion.value ? (openBlock(), createBlock(NodePreview, {
+            nodeDef: hoveredSuggestion.value,
+            key: hoveredSuggestion.value?.name || ""
+          }, null, 8, ["nodeDef"])) : createCommentVNode("", true)
+        ])) : createCommentVNode("", true),
+        createVNode(unref(script$J), {
+          icon: "pi pi-filter",
+          severity: "secondary",
+          class: "_filter-button",
+          onClick: _cache[0] || (_cache[0] = ($event) => nodeSearchFilterVisible.value = true)
+        }),
+        createVNode(unref(script$k), {
+          visible: nodeSearchFilterVisible.value,
+          "onUpdate:visible": _cache[1] || (_cache[1] = ($event) => nodeSearchFilterVisible.value = $event),
+          class: "_dialog"
+        }, {
+          header: withCtx(() => [
+            _hoisted_3$9
+          ]),
+          default: withCtx(() => [
+            createBaseVNode("div", _hoisted_4$6, [
+              createVNode(NodeSearchFilter, { onAddFilter })
+            ])
+          ]),
+          _: 1
+        }, 8, ["visible"]),
+        createVNode(_sfc_main$k, {
+          "model-value": props.filters,
+          class: "comfy-vue-node-search-box",
+          scrollHeight: "40vh",
+          placeholder: placeholder.value,
+          "input-id": inputId,
+          "append-to": "self",
+          suggestions: suggestions2.value,
+          "min-length": 0,
+          delay: 100,
+          onComplete: _cache[2] || (_cache[2] = ($event) => search3($event.query)),
+          onOptionSelect: _cache[3] || (_cache[3] = ($event) => emit2("addNode", $event.value)),
+          onFocusedOptionChanged: _cache[4] || (_cache[4] = ($event) => setHoverSuggestion($event)),
+          "complete-on-focus": "",
+          "auto-option-focus": "",
+          "force-selection": "",
+          multiple: ""
+        }, {
+          option: withCtx(({ option: option4 }) => [
+            createBaseVNode("div", _hoisted_5$4, [
+              createBaseVNode("div", _hoisted_6$3, [
+                createBaseVNode("span", {
+                  innerHTML: highlightQuery(option4.display_name, currentQuery.value)
+                }, null, 8, _hoisted_7$2),
+                showCategory.value ? (openBlock(), createElementBlock("div", _hoisted_8$1, toDisplayString$1(option4.category.replaceAll("/", " > ")), 1)) : createCommentVNode("", true)
+              ]),
+              createBaseVNode("div", _hoisted_9$1, [
+                option4.experimental ? (openBlock(), createBlock(unref(script$w), {
+                  key: 0,
+                  value: _ctx.$t("experimental"),
+                  severity: "primary"
+                }, null, 8, ["value"])) : createCommentVNode("", true),
+                option4.deprecated ? (openBlock(), createBlock(unref(script$w), {
+                  key: 1,
+                  value: _ctx.$t("deprecated"),
+                  severity: "danger"
+                }, null, 8, ["value"])) : createCommentVNode("", true),
+                option4.python_module !== void 0 ? (openBlock(), createBlock(NodeSourceChip, {
+                  key: 2,
+                  python_module: option4.python_module
+                }, null, 8, ["python_module"])) : createCommentVNode("", true)
+              ])
+            ])
+          ]),
+          chip: withCtx(({ value: value3 }) => [
+            createVNode(SearchFilterChip, {
+              onRemove: /* @__PURE__ */ __name(($event) => onRemoveFilter($event, value3), "onRemove"),
+              text: value3[1],
+              badge: value3[0].invokeSequence.toUpperCase(),
+              "badge-class": value3[0].invokeSequence + "-badge"
+            }, null, 8, ["onRemove", "text", "badge", "badge-class"])
+          ]),
+          _: 1
+        }, 8, ["model-value", "placeholder", "suggestions"])
+      ]);
+    };
+  }
+});
+const NodeSearchBox = /* @__PURE__ */ _export_sfc(_sfc_main$g, [["__scopeId", "data-v-077af1a9"]]);
+class ConnectingLinkImpl {
+  static {
+    __name(this, "ConnectingLinkImpl");
+  }
+  node;
+  slot;
+  input;
+  output;
+  pos;
+  constructor(node3, slot, input, output, pos2) {
+    this.node = node3;
+    this.slot = slot;
+    this.input = input;
+    this.output = output;
+    this.pos = pos2;
+  }
+  static createFromPlainObject(obj) {
+    return new ConnectingLinkImpl(
+      obj.node,
+      obj.slot,
+      obj.input,
+      obj.output,
+      obj.pos
+    );
+  }
+  get type() {
+    const result = this.input ? this.input.type : this.output.type;
+    return result === -1 ? null : result;
+  }
+  /**
+   * Which slot type is release and need to be reconnected.
+   * - 'output' means we need a new node's outputs slot to connect with this link
+   */
+  get releaseSlotType() {
+    return this.output ? "input" : "output";
+  }
+  connectTo(newNode) {
+    const newNodeSlots = this.releaseSlotType === "output" ? newNode.outputs : newNode.inputs;
+    if (!newNodeSlots) return;
+    const newNodeSlot = newNodeSlots.findIndex(
+      (slot) => slot.type === this.type || slot.type === "*" || this.type === "*"
+    );
+    if (newNodeSlot === -1) {
+      console.warn(
+        `Could not find slot with type ${this.type} on node ${newNode.title}. This should never happen`
+      );
+      return;
+    }
+    if (this.releaseSlotType === "input") {
+      this.node.connect(this.slot, newNode, newNodeSlot);
+    } else {
+      newNode.connect(newNodeSlot, this.node, this.slot);
+    }
+  }
+}
+const _sfc_main$f = /* @__PURE__ */ defineComponent({
+  __name: "NodeSearchBoxPopover",
+  setup(__props) {
+    const settingStore = useSettingStore();
+    const visible = ref(false);
+    const dismissable = ref(true);
+    const triggerEvent2 = ref(null);
+    const getNewNodeLocation = /* @__PURE__ */ __name(() => {
+      if (triggerEvent2.value === null) {
+        return [100, 100];
+      }
+      const originalEvent = triggerEvent2.value.detail.originalEvent;
+      return [originalEvent.canvasX, originalEvent.canvasY];
+    }, "getNewNodeLocation");
+    const nodeFilters = reactive([]);
+    const addFilter = /* @__PURE__ */ __name((filter4) => {
+      nodeFilters.push(filter4);
+    }, "addFilter");
+    const removeFilter = /* @__PURE__ */ __name((filter4) => {
+      const index2 = nodeFilters.findIndex((f) => f === filter4);
+      if (index2 !== -1) {
+        nodeFilters.splice(index2, 1);
+      }
+    }, "removeFilter");
+    const clearFilters = /* @__PURE__ */ __name(() => {
+      nodeFilters.splice(0, nodeFilters.length);
+    }, "clearFilters");
+    const closeDialog = /* @__PURE__ */ __name(() => {
+      visible.value = false;
+    }, "closeDialog");
+    const addNode = /* @__PURE__ */ __name((nodeDef) => {
+      const node3 = app$1.addNodeOnGraph(nodeDef, { pos: getNewNodeLocation() });
+      const eventDetail = triggerEvent2.value.detail;
+      if (eventDetail.subType === "empty-release") {
+        eventDetail.linkReleaseContext.links.forEach((link) => {
+          ConnectingLinkImpl.createFromPlainObject(link).connectTo(node3);
+        });
+      }
+      window.setTimeout(() => {
+        closeDialog();
+      }, 100);
+    }, "addNode");
+    const linkReleaseTriggerMode = computed(() => {
+      return settingStore.get("Comfy.NodeSearchBoxImpl.LinkReleaseTrigger");
+    });
+    const canvasEventHandler = /* @__PURE__ */ __name((e) => {
+      const shiftPressed = e.detail.originalEvent.shiftKey;
+      if (e.detail.subType === "empty-release") {
+        if (linkReleaseTriggerMode.value === LinkReleaseTriggerMode.HOLD_SHIFT && !shiftPressed || linkReleaseTriggerMode.value === LinkReleaseTriggerMode.NOT_HOLD_SHIFT && shiftPressed) {
+          return;
+        }
+        const context = e.detail.linkReleaseContext;
+        if (context.links.length === 0) {
+          console.warn("Empty release with no links! This should never happen");
+          return;
+        }
+        const firstLink = ConnectingLinkImpl.createFromPlainObject(context.links[0]);
+        const filter4 = useNodeDefStore().nodeSearchService.getFilterById(
+          firstLink.releaseSlotType
+        );
+        const dataType = firstLink.type;
+        addFilter([filter4, dataType]);
+      }
+      triggerEvent2.value = e;
+      visible.value = true;
+      dismissable.value = false;
+      setTimeout(() => {
+        dismissable.value = true;
+      }, 300);
+    }, "canvasEventHandler");
+    const handleEscapeKeyPress = /* @__PURE__ */ __name((event2) => {
+      if (event2.key === "Escape") {
+        closeDialog();
+      }
+    }, "handleEscapeKeyPress");
+    onMounted(() => {
+      document.addEventListener("litegraph:canvas", canvasEventHandler);
+      document.addEventListener("keydown", handleEscapeKeyPress);
+    });
+    onUnmounted(() => {
+      document.removeEventListener("litegraph:canvas", canvasEventHandler);
+      document.removeEventListener("keydown", handleEscapeKeyPress);
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", null, [
+        createVNode(unref(script$k), {
+          visible: visible.value,
+          "onUpdate:visible": _cache[0] || (_cache[0] = ($event) => visible.value = $event),
+          modal: "",
+          "dismissable-mask": dismissable.value,
+          onHide: clearFilters,
+          pt: {
+            root: { class: "invisible-dialog-root" },
+            mask: { class: "node-search-box-dialog-mask" },
+            transition: {
+              enterFromClass: "opacity-0 scale-75",
+              // 100ms is the duration of the transition in the dialog component
+              enterActiveClass: "transition-all duration-100 ease-out",
+              leaveActiveClass: "transition-all duration-100 ease-in",
+              leaveToClass: "opacity-0 scale-75"
+            }
+          }
+        }, {
+          container: withCtx(() => [
+            createVNode(NodeSearchBox, {
+              filters: nodeFilters,
+              onAddFilter: addFilter,
+              onRemoveFilter: removeFilter,
+              onAddNode: addNode
+            }, null, 8, ["filters"])
+          ]),
+          _: 1
+        }, 8, ["visible", "dismissable-mask"])
+      ]);
+    };
+  }
+});
+const _sfc_main$e = /* @__PURE__ */ defineComponent({
+  __name: "NodeTooltip",
+  setup(__props) {
+    let idleTimeout;
+    const nodeDefStore = useNodeDefStore();
+    const settingStore = useSettingStore();
+    const tooltipRef = ref();
+    const tooltipText = ref("");
+    const left = ref();
+    const top = ref();
+    const getHoveredWidget = /* @__PURE__ */ __name(() => {
+      const node3 = app$1.canvas.node_over;
+      if (!node3.widgets) return;
+      const graphPos = app$1.canvas.graph_mouse;
+      const x2 = graphPos[0] - node3.pos[0];
+      const y2 = graphPos[1] - node3.pos[1];
+      for (const w2 of node3.widgets) {
+        let widgetWidth, widgetHeight;
+        if (w2.computeSize) {
+          ;
+          [widgetWidth, widgetHeight] = w2.computeSize(node3.size[0]);
+        } else {
+          widgetWidth = w2.width || node3.size[0];
+          widgetHeight = LiteGraph.NODE_WIDGET_HEIGHT;
+        }
+        if (w2.last_y !== void 0 && x2 >= 6 && x2 <= widgetWidth - 12 && y2 >= w2.last_y && y2 <= w2.last_y + widgetHeight) {
+          return w2;
+        }
+      }
+    }, "getHoveredWidget");
+    const hideTooltip = /* @__PURE__ */ __name(() => tooltipText.value = null, "hideTooltip");
+    const showTooltip = /* @__PURE__ */ __name(async (tooltip) => {
+      if (!tooltip) return;
+      left.value = app$1.canvas.mouse[0] + "px";
+      top.value = app$1.canvas.mouse[1] + "px";
+      tooltipText.value = tooltip;
+      await nextTick();
+      const rect = tooltipRef.value.getBoundingClientRect();
+      if (rect.right > window.innerWidth) {
+        left.value = app$1.canvas.mouse[0] - rect.width + "px";
+      }
+      if (rect.top < 0) {
+        top.value = app$1.canvas.mouse[1] + rect.height + "px";
+      }
+    }, "showTooltip");
+    const onIdle = /* @__PURE__ */ __name(() => {
+      const { canvas } = app$1;
+      const node3 = canvas.node_over;
+      if (!node3) return;
+      const ctor = node3.constructor;
+      const nodeDef = nodeDefStore.nodeDefsByName[node3.type];
+      if (ctor.title_mode !== LiteGraph.NO_TITLE && canvas.graph_mouse[1] < node3.pos[1]) {
+        return showTooltip(nodeDef.description);
+      }
+      if (node3.flags?.collapsed) return;
+      const inputSlot = canvas.isOverNodeInput(
+        node3,
+        canvas.graph_mouse[0],
+        canvas.graph_mouse[1],
+        [0, 0]
+      );
+      if (inputSlot !== -1) {
+        const inputName = node3.inputs[inputSlot].name;
+        return showTooltip(nodeDef.input.getInput(inputName)?.tooltip);
+      }
+      const outputSlot = canvas.isOverNodeOutput(
+        node3,
+        canvas.graph_mouse[0],
+        canvas.graph_mouse[1],
+        [0, 0]
+      );
+      if (outputSlot !== -1) {
+        return showTooltip(nodeDef.output.all?.[outputSlot].tooltip);
+      }
+      const widget = getHoveredWidget();
+      if (widget && !widget.element) {
+        return showTooltip(
+          widget.tooltip ?? nodeDef.input.getInput(widget.name)?.tooltip
+        );
+      }
+    }, "onIdle");
+    const onMouseMove = /* @__PURE__ */ __name((e) => {
+      hideTooltip();
+      clearTimeout(idleTimeout);
+      if (e.target.nodeName !== "CANVAS") return;
+      idleTimeout = window.setTimeout(onIdle, 500);
+    }, "onMouseMove");
+    watch(
+      () => settingStore.get("Comfy.EnableTooltips"),
+      (enabled) => {
+        if (enabled) {
+          window.addEventListener("mousemove", onMouseMove);
+          window.addEventListener("click", hideTooltip);
+        } else {
+          window.removeEventListener("mousemove", onMouseMove);
+          window.removeEventListener("click", hideTooltip);
+        }
+      },
+      { immediate: true }
+    );
+    onBeforeUnmount(() => {
+      window.removeEventListener("mousemove", onMouseMove);
+      window.removeEventListener("click", hideTooltip);
+    });
+    return (_ctx, _cache) => {
+      return tooltipText.value ? (openBlock(), createElementBlock("div", {
+        key: 0,
+        ref_key: "tooltipRef",
+        ref: tooltipRef,
+        class: "node-tooltip",
+        style: normalizeStyle({ left: left.value, top: top.value })
+      }, toDisplayString$1(tooltipText.value), 5)) : createCommentVNode("", true);
+    };
+  }
+});
+const NodeTooltip = /* @__PURE__ */ _export_sfc(_sfc_main$e, [["__scopeId", "data-v-e0597bf9"]]);
+function _arrayWithHoles(r) {
+  if (Array.isArray(r)) return r;
+}
+__name(_arrayWithHoles, "_arrayWithHoles");
+function _iterableToArrayLimit(r, l) {
+  var t = null == r ? null : "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (null != t) {
+    var e, n, i2, u, a = [], f = true, o = false;
+    try {
+      if (i2 = (t = t.call(r)).next, 0 === l) {
+        if (Object(t) !== t) return;
+        f = false;
+      } else for (; !(f = (e = i2.call(t)).done) && (a.push(e.value), a.length !== l); f = true) ;
+    } catch (r2) {
+      o = true, n = r2;
+    } finally {
+      try {
+        if (!f && null != t["return"] && (u = t["return"](), Object(u) !== u)) return;
+      } finally {
+        if (o) throw n;
+      }
+    }
+    return a;
+  }
+}
+__name(_iterableToArrayLimit, "_iterableToArrayLimit");
+function _arrayLikeToArray$7(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$7, "_arrayLikeToArray$7");
+function _unsupportedIterableToArray$7(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$7(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$7(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$7, "_unsupportedIterableToArray$7");
+function _nonIterableRest() {
+  throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableRest, "_nonIterableRest");
+function _slicedToArray(r, e) {
+  return _arrayWithHoles(r) || _iterableToArrayLimit(r, e) || _unsupportedIterableToArray$7(r, e) || _nonIterableRest();
+}
+__name(_slicedToArray, "_slicedToArray");
+var dist = {};
+var bind$1 = {};
+"use strict";
+Object.defineProperty(bind$1, "__esModule", { value: true });
+var bind_2 = bind$1.bind = void 0;
+function bind(target, _a) {
+  var type = _a.type, listener = _a.listener, options3 = _a.options;
+  target.addEventListener(type, listener, options3);
+  return /* @__PURE__ */ __name(function unbind2() {
+    target.removeEventListener(type, listener, options3);
+  }, "unbind");
+}
+__name(bind, "bind");
+bind_2 = bind$1.bind = bind;
+var bindAll$1 = {};
+"use strict";
+var __assign = commonjsGlobal && commonjsGlobal.__assign || function() {
+  __assign = Object.assign || function(t) {
+    for (var s, i2 = 1, n = arguments.length; i2 < n; i2++) {
+      s = arguments[i2];
+      for (var p2 in s) if (Object.prototype.hasOwnProperty.call(s, p2))
+        t[p2] = s[p2];
+    }
+    return t;
+  };
+  return __assign.apply(this, arguments);
+};
+Object.defineProperty(bindAll$1, "__esModule", { value: true });
+var bindAll_2 = bindAll$1.bindAll = void 0;
+var bind_1 = bind$1;
+function toOptions(value3) {
+  if (typeof value3 === "undefined") {
+    return void 0;
+  }
+  if (typeof value3 === "boolean") {
+    return {
+      capture: value3
+    };
+  }
+  return value3;
+}
+__name(toOptions, "toOptions");
+function getBinding(original, sharedOptions) {
+  if (sharedOptions == null) {
+    return original;
+  }
+  var binding = __assign(__assign({}, original), { options: __assign(__assign({}, toOptions(sharedOptions)), toOptions(original.options)) });
+  return binding;
+}
+__name(getBinding, "getBinding");
+function bindAll(target, bindings, sharedOptions) {
+  var unbinds = bindings.map(function(original) {
+    var binding = getBinding(original, sharedOptions);
+    return (0, bind_1.bind)(target, binding);
+  });
+  return /* @__PURE__ */ __name(function unbindAll() {
+    unbinds.forEach(function(unbind2) {
+      return unbind2();
+    });
+  }, "unbindAll");
+}
+__name(bindAll, "bindAll");
+bindAll_2 = bindAll$1.bindAll = bindAll;
+(function(exports) {
+  "use strict";
+  Object.defineProperty(exports, "__esModule", { value: true });
+  exports.bindAll = exports.bind = void 0;
+  var bind_12 = bind$1;
+  Object.defineProperty(exports, "bind", { enumerable: true, get: /* @__PURE__ */ __name(function() {
+    return bind_12.bind;
+  }, "get") });
+  var bind_all_1 = bindAll$1;
+  Object.defineProperty(exports, "bindAll", { enumerable: true, get: /* @__PURE__ */ __name(function() {
+    return bind_all_1.bindAll;
+  }, "get") });
+})(dist);
+const index = /* @__PURE__ */ getDefaultExportFromCjs(dist);
+var honeyPotDataAttribute = "data-pdnd-honey-pot";
+function isHoneyPotElement(target) {
+  return target instanceof Element && target.hasAttribute(honeyPotDataAttribute);
+}
+__name(isHoneyPotElement, "isHoneyPotElement");
+function getElementFromPointWithoutHoneypot(client) {
+  var _document$elementsFro = document.elementsFromPoint(client.x, client.y), _document$elementsFro2 = _slicedToArray(_document$elementsFro, 2), top = _document$elementsFro2[0], second = _document$elementsFro2[1];
+  if (!top) {
+    return null;
+  }
+  if (isHoneyPotElement(top)) {
+    return second !== null && second !== void 0 ? second : null;
+  }
+  return top;
+}
+__name(getElementFromPointWithoutHoneypot, "getElementFromPointWithoutHoneypot");
+function _typeof$5(o) {
+  "@babel/helpers - typeof";
+  return _typeof$5 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$5(o);
+}
+__name(_typeof$5, "_typeof$5");
+function toPrimitive(t, r) {
+  if ("object" != _typeof$5(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$5(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(toPrimitive, "toPrimitive");
+function toPropertyKey(t) {
+  var i2 = toPrimitive(t, "string");
+  return "symbol" == _typeof$5(i2) ? i2 : i2 + "";
+}
+__name(toPropertyKey, "toPropertyKey");
+function _defineProperty$5(e, r, t) {
+  return (r = toPropertyKey(r)) in e ? Object.defineProperty(e, r, {
+    value: t,
+    enumerable: true,
+    configurable: true,
+    writable: true
+  }) : e[r] = t, e;
+}
+__name(_defineProperty$5, "_defineProperty$5");
+var maxZIndex = 2147483647;
+function ownKeys$6(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$6, "ownKeys$6");
+function _objectSpread$6(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$6(Object(t), true).forEach(function(r2) {
+      _defineProperty$5(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$6(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$6, "_objectSpread$6");
+var honeyPotSize = 2;
+var halfHoneyPotSize = honeyPotSize / 2;
+function floorToClosestPixel(point) {
+  return {
+    x: Math.floor(point.x),
+    y: Math.floor(point.y)
+  };
+}
+__name(floorToClosestPixel, "floorToClosestPixel");
+function pullBackByHalfHoneyPotSize(point) {
+  return {
+    x: point.x - halfHoneyPotSize,
+    y: point.y - halfHoneyPotSize
+  };
+}
+__name(pullBackByHalfHoneyPotSize, "pullBackByHalfHoneyPotSize");
+function preventGoingBackwardsOffScreen(point) {
+  return {
+    x: Math.max(point.x, 0),
+    y: Math.max(point.y, 0)
+  };
+}
+__name(preventGoingBackwardsOffScreen, "preventGoingBackwardsOffScreen");
+function preventGoingForwardsOffScreen(point) {
+  return {
+    x: Math.min(point.x, window.innerWidth - honeyPotSize),
+    y: Math.min(point.y, window.innerHeight - honeyPotSize)
+  };
+}
+__name(preventGoingForwardsOffScreen, "preventGoingForwardsOffScreen");
+function getHoneyPotRectFor(_ref) {
+  var client = _ref.client;
+  var point = preventGoingForwardsOffScreen(preventGoingBackwardsOffScreen(pullBackByHalfHoneyPotSize(floorToClosestPixel(client))));
+  return DOMRect.fromRect({
+    x: point.x,
+    y: point.y,
+    width: honeyPotSize,
+    height: honeyPotSize
+  });
+}
+__name(getHoneyPotRectFor, "getHoneyPotRectFor");
+function getRectStyles(_ref2) {
+  var clientRect = _ref2.clientRect;
+  return {
+    left: "".concat(clientRect.left, "px"),
+    top: "".concat(clientRect.top, "px"),
+    width: "".concat(clientRect.width, "px"),
+    height: "".concat(clientRect.height, "px")
+  };
+}
+__name(getRectStyles, "getRectStyles");
+function isWithin(_ref3) {
+  var client = _ref3.client, clientRect = _ref3.clientRect;
+  return (
+    // is within horizontal bounds
+    client.x >= clientRect.x && client.x <= clientRect.x + clientRect.width && // is within vertical bounds
+    client.y >= clientRect.y && client.y <= clientRect.y + clientRect.height
+  );
+}
+__name(isWithin, "isWithin");
+function mountHoneyPot(_ref4) {
+  var initial = _ref4.initial;
+  var element = document.createElement("div");
+  element.setAttribute(honeyPotDataAttribute, "true");
+  var clientRect = getHoneyPotRectFor({
+    client: initial
+  });
+  Object.assign(element.style, _objectSpread$6(_objectSpread$6({
+    // Setting a background color explicitly to avoid any inherited styles.
+    // Looks like this could be `opacity: 0`, but worried that _might_
+    // cause the element to be ignored on some platforms.
+    // When debugging, set backgroundColor to something like "red".
+    backgroundColor: "transparent",
+    position: "fixed",
+    // Being explicit to avoid inheriting styles
+    padding: 0,
+    margin: 0,
+    boxSizing: "border-box"
+  }, getRectStyles({
+    clientRect
+  })), {}, {
+    // We want this element to absorb pointer events,
+    // it's kind of the whole point 😉
+    pointerEvents: "auto",
+    // Want to make sure the honey pot is top of everything else.
+    // Don't need to worry about native drag previews, as they will
+    // have been rendered (and removed) before the honey pot is rendered
+    zIndex: maxZIndex
+  }));
+  document.body.appendChild(element);
+  var unbindPointerMove = dist.bind(window, {
+    type: "pointermove",
+    listener: /* @__PURE__ */ __name(function listener(event2) {
+      var client = {
+        x: event2.clientX,
+        y: event2.clientY
+      };
+      clientRect = getHoneyPotRectFor({
+        client
+      });
+      Object.assign(element.style, getRectStyles({
+        clientRect
+      }));
+    }, "listener"),
+    // using capture so we are less likely to be impacted by event stopping
+    options: {
+      capture: true
+    }
+  });
+  return /* @__PURE__ */ __name(function finish(_ref5) {
+    var current = _ref5.current;
+    unbindPointerMove();
+    if (isWithin({
+      client: current,
+      clientRect
+    })) {
+      element.remove();
+      return;
+    }
+    function cleanup() {
+      unbindPostDragEvents();
+      element.remove();
+    }
+    __name(cleanup, "cleanup");
+    var unbindPostDragEvents = dist.bindAll(window, [
+      {
+        type: "pointerdown",
+        listener: cleanup
+      },
+      {
+        type: "pointermove",
+        listener: cleanup
+      },
+      {
+        type: "focusin",
+        listener: cleanup
+      },
+      {
+        type: "focusout",
+        listener: cleanup
+      },
+      // a 'pointerdown' should happen before 'dragstart', but just being super safe
+      {
+        type: "dragstart",
+        listener: cleanup
+      },
+      // if the user has dragged something out of the window
+      // and then is dragging something back into the window
+      // the first events we will see are "dragenter" (and then "dragover").
+      // So if we see any of these we need to clear the post drag fix.
+      {
+        type: "dragenter",
+        listener: cleanup
+      },
+      {
+        type: "dragover",
+        listener: cleanup
+      }
+      // Not adding a "wheel" event listener, as "wheel" by itself does not
+      // resolve the bug.
+    ], {
+      // Using `capture` so less likely to be impacted by other code stopping events
+      capture: true
+    });
+  }, "finish");
+}
+__name(mountHoneyPot, "mountHoneyPot");
+function makeHoneyPotFix() {
+  var latestPointerMove = null;
+  function bindEvents3() {
+    latestPointerMove = null;
+    return dist.bind(window, {
+      type: "pointermove",
+      listener: /* @__PURE__ */ __name(function listener(event2) {
+        latestPointerMove = {
+          x: event2.clientX,
+          y: event2.clientY
+        };
+      }, "listener"),
+      // listening for pointer move in capture phase
+      // so we are less likely to be impacted by events being stopped.
+      options: {
+        capture: true
+      }
+    });
+  }
+  __name(bindEvents3, "bindEvents");
+  function getOnPostDispatch() {
+    var finish = null;
+    return /* @__PURE__ */ __name(function onPostEvent(_ref6) {
+      var eventName = _ref6.eventName, payload = _ref6.payload;
+      if (eventName === "onDragStart") {
+        var _latestPointerMove;
+        var input = payload.location.initial.input;
+        var initial = (_latestPointerMove = latestPointerMove) !== null && _latestPointerMove !== void 0 ? _latestPointerMove : {
+          x: input.clientX,
+          y: input.clientY
+        };
+        finish = mountHoneyPot({
+          initial
+        });
+      }
+      if (eventName === "onDrop") {
+        var _finish;
+        var _input = payload.location.current.input;
+        (_finish = finish) === null || _finish === void 0 || _finish({
+          current: {
+            x: _input.clientX,
+            y: _input.clientY
+          }
+        });
+        finish = null;
+        latestPointerMove = null;
+      }
+    }, "onPostEvent");
+  }
+  __name(getOnPostDispatch, "getOnPostDispatch");
+  return {
+    bindEvents: bindEvents3,
+    getOnPostDispatch
+  };
+}
+__name(makeHoneyPotFix, "makeHoneyPotFix");
+function _arrayWithoutHoles$5(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$7(r);
+}
+__name(_arrayWithoutHoles$5, "_arrayWithoutHoles$5");
+function _iterableToArray$5(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$5, "_iterableToArray$5");
+function _nonIterableSpread$5() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$5, "_nonIterableSpread$5");
+function _toConsumableArray$5(r) {
+  return _arrayWithoutHoles$5(r) || _iterableToArray$5(r) || _unsupportedIterableToArray$7(r) || _nonIterableSpread$5();
+}
+__name(_toConsumableArray$5, "_toConsumableArray$5");
+function once(fn) {
+  var cache2 = null;
+  return /* @__PURE__ */ __name(function wrapped() {
+    if (!cache2) {
+      for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {
+        args[_key] = arguments[_key];
+      }
+      var result = fn.apply(this, args);
+      cache2 = {
+        result
+      };
+    }
+    return cache2.result;
+  }, "wrapped");
+}
+__name(once, "once");
+var isFirefox = once(/* @__PURE__ */ __name(function isFirefox2() {
+  if (false) {
+    return false;
+  }
+  return navigator.userAgent.includes("Firefox");
+}, "isFirefox2"));
+var isSafari = once(/* @__PURE__ */ __name(function isSafari2() {
+  if (false) {
+    return false;
+  }
+  var _navigator2 = navigator, userAgent = _navigator2.userAgent;
+  return userAgent.includes("AppleWebKit") && !userAgent.includes("Chrome");
+}, "isSafari2"));
+var symbols = {
+  isLeavingWindow: Symbol("leaving"),
+  isEnteringWindow: Symbol("entering")
+};
+function isEnteringWindowInSafari(_ref) {
+  var dragEnter = _ref.dragEnter;
+  if (!isSafari()) {
+    return false;
+  }
+  return dragEnter.hasOwnProperty(symbols.isEnteringWindow);
+}
+__name(isEnteringWindowInSafari, "isEnteringWindowInSafari");
+function isLeavingWindowInSafari(_ref2) {
+  var dragLeave = _ref2.dragLeave;
+  if (!isSafari()) {
+    return false;
+  }
+  return dragLeave.hasOwnProperty(symbols.isLeavingWindow);
+}
+__name(isLeavingWindowInSafari, "isLeavingWindowInSafari");
+(/* @__PURE__ */ __name(function fixSafari() {
+  if (typeof window === "undefined") {
+    return;
+  }
+  if (false) {
+    return;
+  }
+  if (!isSafari()) {
+    return;
+  }
+  function getInitialState() {
+    return {
+      enterCount: 0,
+      isOverWindow: false
+    };
+  }
+  __name(getInitialState, "getInitialState");
+  var state = getInitialState();
+  function resetState() {
+    state = getInitialState();
+  }
+  __name(resetState, "resetState");
+  dist.bindAll(
+    window,
+    [{
+      type: "dragstart",
+      listener: /* @__PURE__ */ __name(function listener() {
+        state.enterCount = 0;
+        state.isOverWindow = true;
+      }, "listener")
+    }, {
+      type: "drop",
+      listener: resetState
+    }, {
+      type: "dragend",
+      listener: resetState
+    }, {
+      type: "dragenter",
+      listener: /* @__PURE__ */ __name(function listener(event2) {
+        if (!state.isOverWindow && state.enterCount === 0) {
+          event2[symbols.isEnteringWindow] = true;
+        }
+        state.isOverWindow = true;
+        state.enterCount++;
+      }, "listener")
+    }, {
+      type: "dragleave",
+      listener: /* @__PURE__ */ __name(function listener(event2) {
+        state.enterCount--;
+        if (state.isOverWindow && state.enterCount === 0) {
+          event2[symbols.isLeavingWindow] = true;
+          state.isOverWindow = false;
+        }
+      }, "listener")
+    }],
+    // using `capture: true` so that adding event listeners
+    // in bubble phase will have the correct symbols
+    {
+      capture: true
+    }
+  );
+}, "fixSafari"))();
+function isNodeLike(target) {
+  return "nodeName" in target;
+}
+__name(isNodeLike, "isNodeLike");
+function isFromAnotherWindow(eventTarget) {
+  return isNodeLike(eventTarget) && eventTarget.ownerDocument !== document;
+}
+__name(isFromAnotherWindow, "isFromAnotherWindow");
+function isLeavingWindow(_ref) {
+  var dragLeave = _ref.dragLeave;
+  var type = dragLeave.type, relatedTarget = dragLeave.relatedTarget;
+  if (type !== "dragleave") {
+    return false;
+  }
+  if (isSafari()) {
+    return isLeavingWindowInSafari({
+      dragLeave
+    });
+  }
+  if (relatedTarget == null) {
+    return true;
+  }
+  if (isFirefox()) {
+    return isFromAnotherWindow(relatedTarget);
+  }
+  return relatedTarget instanceof HTMLIFrameElement;
+}
+__name(isLeavingWindow, "isLeavingWindow");
+function getBindingsForBrokenDrags(_ref) {
+  var onDragEnd3 = _ref.onDragEnd;
+  return [
+    // ## Detecting drag ending for removed draggables
+    //
+    // If a draggable element is removed during a drag and the user drops:
+    // 1. if over a valid drop target: we get a "drop" event to know the drag is finished
+    // 2. if not over a valid drop target (or cancelled): we get nothing
+    // The "dragend" event will not fire on the source draggable if it has been
+    // removed from the DOM.
+    // So we need to figure out if a drag operation has finished by looking at other events
+    // We can do this by looking at other events
+    // ### First detection: "pointermove" events
+    // 1. "pointermove" events cannot fire during a drag and drop operation
+    // according to the spec. So if we get a "pointermove" it means that
+    // the drag and drop operations has finished. So if we get a "pointermove"
+    // we know that the drag is over
+    // 2. 🦊😤 Drag and drop operations are _supposed_ to suppress
+    // other pointer events. However, firefox will allow a few
+    // pointer event to get through after a drag starts.
+    // The most I've seen is 3
+    {
+      type: "pointermove",
+      listener: /* @__PURE__ */ function() {
+        var callCount = 0;
+        return /* @__PURE__ */ __name(function listener() {
+          if (callCount < 20) {
+            callCount++;
+            return;
+          }
+          onDragEnd3();
+        }, "listener");
+      }()
+    },
+    // ### Second detection: "pointerdown" events
+    // If we receive this event then we know that a drag operation has finished
+    // and potentially another one is about to start.
+    // Note: `pointerdown` fires on all browsers / platforms before "dragstart"
+    {
+      type: "pointerdown",
+      listener: onDragEnd3
+    }
+  ];
+}
+__name(getBindingsForBrokenDrags, "getBindingsForBrokenDrags");
+function getInput(event2) {
+  return {
+    altKey: event2.altKey,
+    button: event2.button,
+    buttons: event2.buttons,
+    ctrlKey: event2.ctrlKey,
+    metaKey: event2.metaKey,
+    shiftKey: event2.shiftKey,
+    clientX: event2.clientX,
+    clientY: event2.clientY,
+    pageX: event2.pageX,
+    pageY: event2.pageY
+  };
+}
+__name(getInput, "getInput");
+var rafSchd = /* @__PURE__ */ __name(function rafSchd2(fn) {
+  var lastArgs = [];
+  var frameId = null;
+  var wrapperFn = /* @__PURE__ */ __name(function wrapperFn2() {
+    for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {
+      args[_key] = arguments[_key];
+    }
+    lastArgs = args;
+    if (frameId) {
+      return;
+    }
+    frameId = requestAnimationFrame(function() {
+      frameId = null;
+      fn.apply(void 0, lastArgs);
+    });
+  }, "wrapperFn");
+  wrapperFn.cancel = function() {
+    if (!frameId) {
+      return;
+    }
+    cancelAnimationFrame(frameId);
+    frameId = null;
+  };
+  return wrapperFn;
+}, "rafSchd");
+var scheduleOnDrag = rafSchd(function(fn) {
+  return fn();
+});
+var dragStart = /* @__PURE__ */ function() {
+  var scheduled = null;
+  function schedule(fn) {
+    var frameId = requestAnimationFrame(function() {
+      scheduled = null;
+      fn();
+    });
+    scheduled = {
+      frameId,
+      fn
+    };
+  }
+  __name(schedule, "schedule");
+  function flush() {
+    if (scheduled) {
+      cancelAnimationFrame(scheduled.frameId);
+      scheduled.fn();
+      scheduled = null;
+    }
+  }
+  __name(flush, "flush");
+  return {
+    schedule,
+    flush
+  };
+}();
+function makeDispatch(_ref) {
+  var source = _ref.source, initial = _ref.initial, dispatchEvent = _ref.dispatchEvent;
+  var previous = {
+    dropTargets: []
+  };
+  function safeDispatch(args) {
+    dispatchEvent(args);
+    previous = {
+      dropTargets: args.payload.location.current.dropTargets
+    };
+  }
+  __name(safeDispatch, "safeDispatch");
+  var dispatch = {
+    start: /* @__PURE__ */ __name(function start2(_ref2) {
+      var nativeSetDragImage = _ref2.nativeSetDragImage;
+      var location2 = {
+        current: initial,
+        previous,
+        initial
+      };
+      safeDispatch({
+        eventName: "onGenerateDragPreview",
+        payload: {
+          source,
+          location: location2,
+          nativeSetDragImage
+        }
+      });
+      dragStart.schedule(function() {
+        safeDispatch({
+          eventName: "onDragStart",
+          payload: {
+            source,
+            location: location2
+          }
+        });
+      });
+    }, "start"),
+    dragUpdate: /* @__PURE__ */ __name(function dragUpdate(_ref3) {
+      var current = _ref3.current;
+      dragStart.flush();
+      scheduleOnDrag.cancel();
+      safeDispatch({
+        eventName: "onDropTargetChange",
+        payload: {
+          source,
+          location: {
+            initial,
+            previous,
+            current
+          }
+        }
+      });
+    }, "dragUpdate"),
+    drag: /* @__PURE__ */ __name(function drag(_ref4) {
+      var current = _ref4.current;
+      scheduleOnDrag(function() {
+        dragStart.flush();
+        var location2 = {
+          initial,
+          previous,
+          current
+        };
+        safeDispatch({
+          eventName: "onDrag",
+          payload: {
+            source,
+            location: location2
+          }
+        });
+      });
+    }, "drag"),
+    drop: /* @__PURE__ */ __name(function drop(_ref5) {
+      var current = _ref5.current, updatedSourcePayload = _ref5.updatedSourcePayload;
+      dragStart.flush();
+      scheduleOnDrag.cancel();
+      safeDispatch({
+        eventName: "onDrop",
+        payload: {
+          source: updatedSourcePayload !== null && updatedSourcePayload !== void 0 ? updatedSourcePayload : source,
+          location: {
+            current,
+            previous,
+            initial
+          }
+        }
+      });
+    }, "drop")
+  };
+  return dispatch;
+}
+__name(makeDispatch, "makeDispatch");
+var globalState = {
+  isActive: false
+};
+function canStart() {
+  return !globalState.isActive;
+}
+__name(canStart, "canStart");
+function getNativeSetDragImage(event2) {
+  if (event2.dataTransfer) {
+    return event2.dataTransfer.setDragImage.bind(event2.dataTransfer);
+  }
+  return null;
+}
+__name(getNativeSetDragImage, "getNativeSetDragImage");
+function hasHierarchyChanged(_ref) {
+  var current = _ref.current, next2 = _ref.next;
+  if (current.length !== next2.length) {
+    return true;
+  }
+  for (var i2 = 0; i2 < current.length; i2++) {
+    if (current[i2].element !== next2[i2].element) {
+      return true;
+    }
+  }
+  return false;
+}
+__name(hasHierarchyChanged, "hasHierarchyChanged");
+function start(_ref2) {
+  var event2 = _ref2.event, dragType = _ref2.dragType, getDropTargetsOver = _ref2.getDropTargetsOver, dispatchEvent = _ref2.dispatchEvent;
+  if (!canStart()) {
+    return;
+  }
+  var initial = getStartLocation({
+    event: event2,
+    dragType,
+    getDropTargetsOver
+  });
+  globalState.isActive = true;
+  var state = {
+    current: initial
+  };
+  setDropEffectOnEvent({
+    event: event2,
+    current: initial.dropTargets
+  });
+  var dispatch = makeDispatch({
+    source: dragType.payload,
+    dispatchEvent,
+    initial
+  });
+  function updateState(next2) {
+    var hasChanged2 = hasHierarchyChanged({
+      current: state.current.dropTargets,
+      next: next2.dropTargets
+    });
+    state.current = next2;
+    if (hasChanged2) {
+      dispatch.dragUpdate({
+        current: state.current
+      });
+    }
+  }
+  __name(updateState, "updateState");
+  function onUpdateEvent(event3) {
+    var input = getInput(event3);
+    var target = isHoneyPotElement(event3.target) ? getElementFromPointWithoutHoneypot({
+      x: input.clientX,
+      y: input.clientY
+    }) : event3.target;
+    var nextDropTargets = getDropTargetsOver({
+      target,
+      input,
+      source: dragType.payload,
+      current: state.current.dropTargets
+    });
+    if (nextDropTargets.length) {
+      event3.preventDefault();
+      setDropEffectOnEvent({
+        event: event3,
+        current: nextDropTargets
+      });
+    }
+    updateState({
+      dropTargets: nextDropTargets,
+      input
+    });
+  }
+  __name(onUpdateEvent, "onUpdateEvent");
+  function cancel() {
+    if (state.current.dropTargets.length) {
+      updateState({
+        dropTargets: [],
+        input: state.current.input
+      });
+    }
+    dispatch.drop({
+      current: state.current,
+      updatedSourcePayload: null
+    });
+    finish();
+  }
+  __name(cancel, "cancel");
+  function finish() {
+    globalState.isActive = false;
+    unbindEvents3();
+  }
+  __name(finish, "finish");
+  var unbindEvents3 = dist.bindAll(
+    window,
+    [{
+      // 👋 Note: we are repurposing the `dragover` event as our `drag` event
+      // this is because firefox does not publish pointer coordinates during
+      // a `drag` event, but does for every other type of drag event
+      // `dragover` fires on all elements that are being dragged over
+      // Because we are binding to `window` - our `dragover` is effectively the same as a `drag`
+      // 🦊😤
+      type: "dragover",
+      listener: /* @__PURE__ */ __name(function listener(event3) {
+        onUpdateEvent(event3);
+        dispatch.drag({
+          current: state.current
+        });
+      }, "listener")
+    }, {
+      type: "dragenter",
+      listener: onUpdateEvent
+    }, {
+      type: "dragleave",
+      listener: /* @__PURE__ */ __name(function listener(event3) {
+        if (!isLeavingWindow({
+          dragLeave: event3
+        })) {
+          return;
+        }
+        updateState({
+          input: state.current.input,
+          dropTargets: []
+        });
+        if (dragType.startedFrom === "external") {
+          cancel();
+        }
+      }, "listener")
+    }, {
+      // A "drop" can only happen if the browser allowed the drop
+      type: "drop",
+      listener: /* @__PURE__ */ __name(function listener(event3) {
+        state.current = {
+          dropTargets: state.current.dropTargets,
+          input: getInput(event3)
+        };
+        if (!state.current.dropTargets.length) {
+          cancel();
+          return;
+        }
+        event3.preventDefault();
+        setDropEffectOnEvent({
+          event: event3,
+          current: state.current.dropTargets
+        });
+        dispatch.drop({
+          current: state.current,
+          // When dropping something native, we need to extract the latest
+          // `.items` from the "drop" event as it is now accessible
+          updatedSourcePayload: dragType.type === "external" ? dragType.getDropPayload(event3) : null
+        });
+        finish();
+      }, "listener")
+    }, {
+      // "dragend" fires when on the drag source (eg a draggable element)
+      // when the drag is finished.
+      // "dragend" will fire after "drop" (if there was a successful drop)
+      // "dragend" does not fire if the draggable source has been removed during the drag
+      // or for external drag sources (eg files)
+      // This "dragend" listener will not fire if there was a successful drop
+      // as we will have already removed the event listener
+      type: "dragend",
+      listener: /* @__PURE__ */ __name(function listener(event3) {
+        state.current = {
+          dropTargets: state.current.dropTargets,
+          input: getInput(event3)
+        };
+        cancel();
+      }, "listener")
+    }].concat(_toConsumableArray$5(getBindingsForBrokenDrags({
+      onDragEnd: cancel
+    }))),
+    // Once we have started a managed drag operation it is important that we see / own all drag events
+    // We got one adoption bug pop up where some code was stopping (`event.stopPropagation()`)
+    // all "drop" events in the bubble phase on the `document.body`.
+    // This meant that we never saw the "drop" event.
+    {
+      capture: true
+    }
+  );
+  dispatch.start({
+    nativeSetDragImage: getNativeSetDragImage(event2)
+  });
+}
+__name(start, "start");
+function setDropEffectOnEvent(_ref3) {
+  var _current$;
+  var event2 = _ref3.event, current = _ref3.current;
+  var innerMost = (_current$ = current[0]) === null || _current$ === void 0 ? void 0 : _current$.dropEffect;
+  if (innerMost != null && event2.dataTransfer) {
+    event2.dataTransfer.dropEffect = innerMost;
+  }
+}
+__name(setDropEffectOnEvent, "setDropEffectOnEvent");
+function getStartLocation(_ref4) {
+  var event2 = _ref4.event, dragType = _ref4.dragType, getDropTargetsOver = _ref4.getDropTargetsOver;
+  var input = getInput(event2);
+  if (dragType.startedFrom === "external") {
+    return {
+      input,
+      dropTargets: []
+    };
+  }
+  var dropTargets = getDropTargetsOver({
+    input,
+    source: dragType.payload,
+    target: event2.target,
+    current: []
+  });
+  return {
+    input,
+    dropTargets
+  };
+}
+__name(getStartLocation, "getStartLocation");
+var lifecycle = {
+  canStart,
+  start
+};
+var ledger = /* @__PURE__ */ new Map();
+function registerUsage(_ref) {
+  var typeKey = _ref.typeKey, mount2 = _ref.mount;
+  var entry = ledger.get(typeKey);
+  if (entry) {
+    entry.usageCount++;
+    return entry;
+  }
+  var initial = {
+    typeKey,
+    unmount: mount2(),
+    usageCount: 1
+  };
+  ledger.set(typeKey, initial);
+  return initial;
+}
+__name(registerUsage, "registerUsage");
+function register(args) {
+  var entry = registerUsage(args);
+  return /* @__PURE__ */ __name(function unregister() {
+    entry.usageCount--;
+    if (entry.usageCount > 0) {
+      return;
+    }
+    entry.unmount();
+    ledger.delete(args.typeKey);
+  }, "unregister");
+}
+__name(register, "register");
+function combine() {
+  for (var _len = arguments.length, fns = new Array(_len), _key = 0; _key < _len; _key++) {
+    fns[_key] = arguments[_key];
+  }
+  return /* @__PURE__ */ __name(function cleanup() {
+    fns.forEach(function(fn) {
+      return fn();
+    });
+  }, "cleanup");
+}
+__name(combine, "combine");
+function addAttribute(element, _ref) {
+  var attribute = _ref.attribute, value3 = _ref.value;
+  element.setAttribute(attribute, value3);
+  return function() {
+    return element.removeAttribute(attribute);
+  };
+}
+__name(addAttribute, "addAttribute");
+function ownKeys$5(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$5, "ownKeys$5");
+function _objectSpread$5(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$5(Object(t), true).forEach(function(r2) {
+      _defineProperty$5(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$5(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$5, "_objectSpread$5");
+function _createForOfIteratorHelper$3(o, allowArrayLike) {
+  var it = typeof Symbol !== "undefined" && o[Symbol.iterator] || o["@@iterator"];
+  if (!it) {
+    if (Array.isArray(o) || (it = _unsupportedIterableToArray$6(o)) || allowArrayLike && o && typeof o.length === "number") {
+      if (it) o = it;
+      var i2 = 0;
+      var F = /* @__PURE__ */ __name(function F2() {
+      }, "F2");
+      return { s: F, n: /* @__PURE__ */ __name(function n() {
+        if (i2 >= o.length) return { done: true };
+        return { done: false, value: o[i2++] };
+      }, "n"), e: /* @__PURE__ */ __name(function e(_e) {
+        throw _e;
+      }, "e"), f: F };
+    }
+    throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+  }
+  var normalCompletion = true, didErr = false, err;
+  return { s: /* @__PURE__ */ __name(function s() {
+    it = it.call(o);
+  }, "s"), n: /* @__PURE__ */ __name(function n() {
+    var step2 = it.next();
+    normalCompletion = step2.done;
+    return step2;
+  }, "n"), e: /* @__PURE__ */ __name(function e(_e2) {
+    didErr = true;
+    err = _e2;
+  }, "e"), f: /* @__PURE__ */ __name(function f() {
+    try {
+      if (!normalCompletion && it.return != null) it.return();
+    } finally {
+      if (didErr) throw err;
+    }
+  }, "f") };
+}
+__name(_createForOfIteratorHelper$3, "_createForOfIteratorHelper$3");
+function _unsupportedIterableToArray$6(o, minLen) {
+  if (!o) return;
+  if (typeof o === "string") return _arrayLikeToArray$6(o, minLen);
+  var n = Object.prototype.toString.call(o).slice(8, -1);
+  if (n === "Object" && o.constructor) n = o.constructor.name;
+  if (n === "Map" || n === "Set") return Array.from(o);
+  if (n === "Arguments" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return _arrayLikeToArray$6(o, minLen);
+}
+__name(_unsupportedIterableToArray$6, "_unsupportedIterableToArray$6");
+function _arrayLikeToArray$6(arr, len) {
+  if (len == null || len > arr.length) len = arr.length;
+  for (var i2 = 0, arr2 = new Array(len); i2 < len; i2++) arr2[i2] = arr[i2];
+  return arr2;
+}
+__name(_arrayLikeToArray$6, "_arrayLikeToArray$6");
+function copyReverse(array) {
+  return array.slice(0).reverse();
+}
+__name(copyReverse, "copyReverse");
+function makeDropTarget(_ref) {
+  var typeKey = _ref.typeKey, defaultDropEffect = _ref.defaultDropEffect;
+  var registry = /* @__PURE__ */ new WeakMap();
+  var dropTargetDataAtt = "data-drop-target-for-".concat(typeKey);
+  var dropTargetSelector = "[".concat(dropTargetDataAtt, "]");
+  function addToRegistry2(args) {
+    registry.set(args.element, args);
+    return function() {
+      return registry.delete(args.element);
+    };
+  }
+  __name(addToRegistry2, "addToRegistry");
+  function dropTargetForConsumers(args) {
+    if (false) {
+      var existing = registry.get(args.element);
+      if (existing) {
+        console.warn("You have already registered a [".concat(typeKey, "] dropTarget on the same element"), {
+          existing,
+          proposed: args
+        });
+      }
+      if (args.element instanceof HTMLIFrameElement) {
+        console.warn("\n            We recommend not registering <iframe> elements as drop targets\n            as it can result in some strange browser event ordering.\n          ".replace(/\s{2,}/g, " ").trim());
+      }
+    }
+    return combine(addAttribute(args.element, {
+      attribute: dropTargetDataAtt,
+      value: "true"
+    }), addToRegistry2(args));
+  }
+  __name(dropTargetForConsumers, "dropTargetForConsumers");
+  function getActualDropTargets(_ref2) {
+    var _args$getData, _args$getData2, _args$getDropEffect, _args$getDropEffect2;
+    var source = _ref2.source, target = _ref2.target, input = _ref2.input, _ref2$result = _ref2.result, result = _ref2$result === void 0 ? [] : _ref2$result;
+    if (target == null) {
+      return result;
+    }
+    if (!(target instanceof Element)) {
+      if (target instanceof Node) {
+        return getActualDropTargets({
+          source,
+          target: target.parentElement,
+          input,
+          result
+        });
+      }
+      return result;
+    }
+    var closest = target.closest(dropTargetSelector);
+    if (closest == null) {
+      return result;
+    }
+    var args = registry.get(closest);
+    if (args == null) {
+      return result;
+    }
+    var feedback = {
+      input,
+      source,
+      element: args.element
+    };
+    if (args.canDrop && !args.canDrop(feedback)) {
+      return getActualDropTargets({
+        source,
+        target: args.element.parentElement,
+        input,
+        result
+      });
+    }
+    var data24 = (_args$getData = (_args$getData2 = args.getData) === null || _args$getData2 === void 0 ? void 0 : _args$getData2.call(args, feedback)) !== null && _args$getData !== void 0 ? _args$getData : {};
+    var dropEffect = (_args$getDropEffect = (_args$getDropEffect2 = args.getDropEffect) === null || _args$getDropEffect2 === void 0 ? void 0 : _args$getDropEffect2.call(args, feedback)) !== null && _args$getDropEffect !== void 0 ? _args$getDropEffect : defaultDropEffect;
+    var record = {
+      data: data24,
+      element: args.element,
+      dropEffect,
+      // we are collecting _actual_ drop targets, so these are
+      // being applied _not_ due to stickiness
+      isActiveDueToStickiness: false
+    };
+    return getActualDropTargets({
+      source,
+      target: args.element.parentElement,
+      input,
+      // Using bubble ordering. Same ordering as `event.getPath()`
+      result: [].concat(_toConsumableArray$5(result), [record])
+    });
+  }
+  __name(getActualDropTargets, "getActualDropTargets");
+  function notifyCurrent(_ref3) {
+    var eventName = _ref3.eventName, payload = _ref3.payload;
+    var _iterator = _createForOfIteratorHelper$3(payload.location.current.dropTargets), _step;
+    try {
+      for (_iterator.s(); !(_step = _iterator.n()).done; ) {
+        var _entry$eventName;
+        var record = _step.value;
+        var entry = registry.get(record.element);
+        var _args = _objectSpread$5(_objectSpread$5({}, payload), {}, {
+          self: record
+        });
+        entry === null || entry === void 0 || (_entry$eventName = entry[eventName]) === null || _entry$eventName === void 0 || _entry$eventName.call(
+          entry,
+          // I cannot seem to get the types right here.
+          // TS doesn't seem to like that one event can need `nativeSetDragImage`
+          // @ts-expect-error
+          _args
+        );
+      }
+    } catch (err) {
+      _iterator.e(err);
+    } finally {
+      _iterator.f();
+    }
+  }
+  __name(notifyCurrent, "notifyCurrent");
+  var actions = {
+    onGenerateDragPreview: notifyCurrent,
+    onDrag: notifyCurrent,
+    onDragStart: notifyCurrent,
+    onDrop: notifyCurrent,
+    onDropTargetChange: /* @__PURE__ */ __name(function onDropTargetChange(_ref4) {
+      var payload = _ref4.payload;
+      var isCurrent = new Set(payload.location.current.dropTargets.map(function(record2) {
+        return record2.element;
+      }));
+      var visited = /* @__PURE__ */ new Set();
+      var _iterator2 = _createForOfIteratorHelper$3(payload.location.previous.dropTargets), _step2;
+      try {
+        for (_iterator2.s(); !(_step2 = _iterator2.n()).done; ) {
+          var _entry$onDropTargetCh;
+          var record = _step2.value;
+          visited.add(record.element);
+          var entry = registry.get(record.element);
+          var isOver = isCurrent.has(record.element);
+          var _args2 = _objectSpread$5(_objectSpread$5({}, payload), {}, {
+            self: record
+          });
+          entry === null || entry === void 0 || (_entry$onDropTargetCh = entry.onDropTargetChange) === null || _entry$onDropTargetCh === void 0 || _entry$onDropTargetCh.call(entry, _args2);
+          if (!isOver) {
+            var _entry$onDragLeave;
+            entry === null || entry === void 0 || (_entry$onDragLeave = entry.onDragLeave) === null || _entry$onDragLeave === void 0 || _entry$onDragLeave.call(entry, _args2);
+          }
+        }
+      } catch (err) {
+        _iterator2.e(err);
+      } finally {
+        _iterator2.f();
+      }
+      var _iterator3 = _createForOfIteratorHelper$3(payload.location.current.dropTargets), _step3;
+      try {
+        for (_iterator3.s(); !(_step3 = _iterator3.n()).done; ) {
+          var _entry$onDropTargetCh2, _entry$onDragEnter;
+          var _record = _step3.value;
+          if (visited.has(_record.element)) {
+            continue;
+          }
+          var _args3 = _objectSpread$5(_objectSpread$5({}, payload), {}, {
+            self: _record
+          });
+          var _entry = registry.get(_record.element);
+          _entry === null || _entry === void 0 || (_entry$onDropTargetCh2 = _entry.onDropTargetChange) === null || _entry$onDropTargetCh2 === void 0 || _entry$onDropTargetCh2.call(_entry, _args3);
+          _entry === null || _entry === void 0 || (_entry$onDragEnter = _entry.onDragEnter) === null || _entry$onDragEnter === void 0 || _entry$onDragEnter.call(_entry, _args3);
+        }
+      } catch (err) {
+        _iterator3.e(err);
+      } finally {
+        _iterator3.f();
+      }
+    }, "onDropTargetChange")
+  };
+  function dispatchEvent(args) {
+    actions[args.eventName](args);
+  }
+  __name(dispatchEvent, "dispatchEvent");
+  function getIsOver(_ref5) {
+    var source = _ref5.source, target = _ref5.target, input = _ref5.input, current = _ref5.current;
+    var actual = getActualDropTargets({
+      source,
+      target,
+      input
+    });
+    if (actual.length >= current.length) {
+      return actual;
+    }
+    var lastCaptureOrdered = copyReverse(current);
+    var actualCaptureOrdered = copyReverse(actual);
+    var resultCaptureOrdered = [];
+    for (var index2 = 0; index2 < lastCaptureOrdered.length; index2++) {
+      var _argsForLast$getIsSti;
+      var last = lastCaptureOrdered[index2];
+      var fresh = actualCaptureOrdered[index2];
+      if (fresh != null) {
+        resultCaptureOrdered.push(fresh);
+        continue;
+      }
+      var parent = resultCaptureOrdered[index2 - 1];
+      var lastParent = lastCaptureOrdered[index2 - 1];
+      if ((parent === null || parent === void 0 ? void 0 : parent.element) !== (lastParent === null || lastParent === void 0 ? void 0 : lastParent.element)) {
+        break;
+      }
+      var argsForLast = registry.get(last.element);
+      if (!argsForLast) {
+        break;
+      }
+      var feedback = {
+        input,
+        source,
+        element: argsForLast.element
+      };
+      if (argsForLast.canDrop && !argsForLast.canDrop(feedback)) {
+        break;
+      }
+      if (!((_argsForLast$getIsSti = argsForLast.getIsSticky) !== null && _argsForLast$getIsSti !== void 0 && _argsForLast$getIsSti.call(argsForLast, feedback))) {
+        break;
+      }
+      resultCaptureOrdered.push(_objectSpread$5(_objectSpread$5({}, last), {}, {
+        // making it clear to consumers this drop target is active due to stickiness
+        isActiveDueToStickiness: true
+      }));
+    }
+    return copyReverse(resultCaptureOrdered);
+  }
+  __name(getIsOver, "getIsOver");
+  return {
+    dropTargetForConsumers,
+    getIsOver,
+    dispatchEvent
+  };
+}
+__name(makeDropTarget, "makeDropTarget");
+function _createForOfIteratorHelper$2(o, allowArrayLike) {
+  var it = typeof Symbol !== "undefined" && o[Symbol.iterator] || o["@@iterator"];
+  if (!it) {
+    if (Array.isArray(o) || (it = _unsupportedIterableToArray$5(o)) || allowArrayLike && o && typeof o.length === "number") {
+      if (it) o = it;
+      var i2 = 0;
+      var F = /* @__PURE__ */ __name(function F2() {
+      }, "F");
+      return { s: F, n: /* @__PURE__ */ __name(function n() {
+        if (i2 >= o.length) return { done: true };
+        return { done: false, value: o[i2++] };
+      }, "n"), e: /* @__PURE__ */ __name(function e(_e) {
+        throw _e;
+      }, "e"), f: F };
+    }
+    throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+  }
+  var normalCompletion = true, didErr = false, err;
+  return { s: /* @__PURE__ */ __name(function s() {
+    it = it.call(o);
+  }, "s"), n: /* @__PURE__ */ __name(function n() {
+    var step2 = it.next();
+    normalCompletion = step2.done;
+    return step2;
+  }, "n"), e: /* @__PURE__ */ __name(function e(_e2) {
+    didErr = true;
+    err = _e2;
+  }, "e"), f: /* @__PURE__ */ __name(function f() {
+    try {
+      if (!normalCompletion && it.return != null) it.return();
+    } finally {
+      if (didErr) throw err;
+    }
+  }, "f") };
+}
+__name(_createForOfIteratorHelper$2, "_createForOfIteratorHelper$2");
+function _unsupportedIterableToArray$5(o, minLen) {
+  if (!o) return;
+  if (typeof o === "string") return _arrayLikeToArray$5(o, minLen);
+  var n = Object.prototype.toString.call(o).slice(8, -1);
+  if (n === "Object" && o.constructor) n = o.constructor.name;
+  if (n === "Map" || n === "Set") return Array.from(o);
+  if (n === "Arguments" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return _arrayLikeToArray$5(o, minLen);
+}
+__name(_unsupportedIterableToArray$5, "_unsupportedIterableToArray$5");
+function _arrayLikeToArray$5(arr, len) {
+  if (len == null || len > arr.length) len = arr.length;
+  for (var i2 = 0, arr2 = new Array(len); i2 < len; i2++) arr2[i2] = arr[i2];
+  return arr2;
+}
+__name(_arrayLikeToArray$5, "_arrayLikeToArray$5");
+function ownKeys$4(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$4, "ownKeys$4");
+function _objectSpread$4(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$4(Object(t), true).forEach(function(r2) {
+      _defineProperty$5(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$4(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$4, "_objectSpread$4");
+function makeMonitor() {
+  var registry = /* @__PURE__ */ new Set();
+  var dragging = null;
+  function tryAddToActive(monitor) {
+    if (!dragging) {
+      return;
+    }
+    if (!monitor.canMonitor || monitor.canMonitor(dragging.canMonitorArgs)) {
+      dragging.active.add(monitor);
+    }
+  }
+  __name(tryAddToActive, "tryAddToActive");
+  function monitorForConsumers(args) {
+    var entry = _objectSpread$4({}, args);
+    registry.add(entry);
+    tryAddToActive(entry);
+    return /* @__PURE__ */ __name(function cleanup() {
+      registry.delete(entry);
+      if (dragging) {
+        dragging.active.delete(entry);
+      }
+    }, "cleanup");
+  }
+  __name(monitorForConsumers, "monitorForConsumers");
+  function dispatchEvent(_ref) {
+    var eventName = _ref.eventName, payload = _ref.payload;
+    if (eventName === "onGenerateDragPreview") {
+      dragging = {
+        canMonitorArgs: {
+          initial: payload.location.initial,
+          source: payload.source
+        },
+        active: /* @__PURE__ */ new Set()
+      };
+      var _iterator = _createForOfIteratorHelper$2(registry), _step;
+      try {
+        for (_iterator.s(); !(_step = _iterator.n()).done; ) {
+          var monitor = _step.value;
+          tryAddToActive(monitor);
+        }
+      } catch (err) {
+        _iterator.e(err);
+      } finally {
+        _iterator.f();
+      }
+    }
+    if (!dragging) {
+      return;
+    }
+    var active3 = Array.from(dragging.active);
+    for (var _i = 0, _active = active3; _i < _active.length; _i++) {
+      var _monitor = _active[_i];
+      if (dragging.active.has(_monitor)) {
+        var _monitor$eventName;
+        (_monitor$eventName = _monitor[eventName]) === null || _monitor$eventName === void 0 || _monitor$eventName.call(_monitor, payload);
+      }
+    }
+    if (eventName === "onDrop") {
+      dragging.active.clear();
+      dragging = null;
+    }
+  }
+  __name(dispatchEvent, "dispatchEvent");
+  return {
+    dispatchEvent,
+    monitorForConsumers
+  };
+}
+__name(makeMonitor, "makeMonitor");
+function makeAdapter(_ref) {
+  var typeKey = _ref.typeKey, mount2 = _ref.mount, dispatchEventToSource2 = _ref.dispatchEventToSource, onPostDispatch = _ref.onPostDispatch, defaultDropEffect = _ref.defaultDropEffect;
+  var monitorAPI = makeMonitor();
+  var dropTargetAPI = makeDropTarget({
+    typeKey,
+    defaultDropEffect
+  });
+  function dispatchEvent(args) {
+    dispatchEventToSource2 === null || dispatchEventToSource2 === void 0 || dispatchEventToSource2(args);
+    dropTargetAPI.dispatchEvent(args);
+    monitorAPI.dispatchEvent(args);
+    onPostDispatch === null || onPostDispatch === void 0 || onPostDispatch(args);
+  }
+  __name(dispatchEvent, "dispatchEvent");
+  function start2(_ref2) {
+    var event2 = _ref2.event, dragType = _ref2.dragType;
+    lifecycle.start({
+      event: event2,
+      dragType,
+      getDropTargetsOver: dropTargetAPI.getIsOver,
+      dispatchEvent
+    });
+  }
+  __name(start2, "start");
+  function registerUsage2() {
+    function mountAdapter() {
+      var api2 = {
+        canStart: lifecycle.canStart,
+        start: start2
+      };
+      return mount2(api2);
+    }
+    __name(mountAdapter, "mountAdapter");
+    return register({
+      typeKey,
+      mount: mountAdapter
+    });
+  }
+  __name(registerUsage2, "registerUsage");
+  return {
+    registerUsage: registerUsage2,
+    dropTarget: dropTargetAPI.dropTargetForConsumers,
+    monitor: monitorAPI.monitorForConsumers
+  };
+}
+__name(makeAdapter, "makeAdapter");
+var isAndroid = once(/* @__PURE__ */ __name(function isAndroid2() {
+  return navigator.userAgent.toLocaleLowerCase().includes("android");
+}, "isAndroid"));
+var androidFallbackText = "pdnd:android-fallback";
+var textMediaType = "text/plain";
+var urlMediaType = "text/uri-list";
+var elementAdapterNativeDataKey = "application/vnd.pdnd";
+var draggableRegistry = /* @__PURE__ */ new WeakMap();
+function addToRegistry(args) {
+  draggableRegistry.set(args.element, args);
+  return /* @__PURE__ */ __name(function cleanup() {
+    draggableRegistry.delete(args.element);
+  }, "cleanup");
+}
+__name(addToRegistry, "addToRegistry");
+var honeyPotFix = makeHoneyPotFix();
+var adapter = makeAdapter({
+  typeKey: "element",
+  defaultDropEffect: "move",
+  mount: /* @__PURE__ */ __name(function mount(api2) {
+    return combine(honeyPotFix.bindEvents(), dist.bind(document, {
+      type: "dragstart",
+      listener: /* @__PURE__ */ __name(function listener(event2) {
+        var _entry$dragHandle, _entry$getInitialData, _entry$getInitialData2, _entry$dragHandle2, _entry$getInitialData3, _entry$getInitialData4;
+        if (!api2.canStart(event2)) {
+          return;
+        }
+        if (event2.defaultPrevented) {
+          return;
+        }
+        if (!event2.dataTransfer) {
+          if (false) {
+            console.warn("\n              It appears as though you have are not testing DragEvents correctly.\n\n              - If you are unit testing, ensure you have polyfilled DragEvent.\n              - If you are browser testing, ensure you are dispatching drag events correctly.\n\n              Please see our testing guides for more information:\n              https://atlassian.design/components/pragmatic-drag-and-drop/core-package/testing\n            ".replace(/ {2}/g, ""));
+          }
+          return;
+        }
+        var target = event2.target;
+        if (!(target instanceof HTMLElement)) {
+          return null;
+        }
+        var entry = draggableRegistry.get(target);
+        if (!entry) {
+          return null;
+        }
+        var input = getInput(event2);
+        var feedback = {
+          element: entry.element,
+          dragHandle: (_entry$dragHandle = entry.dragHandle) !== null && _entry$dragHandle !== void 0 ? _entry$dragHandle : null,
+          input
+        };
+        if (entry.canDrag && !entry.canDrag(feedback)) {
+          event2.preventDefault();
+          return null;
+        }
+        if (entry.dragHandle) {
+          var over = getElementFromPointWithoutHoneypot({
+            x: input.clientX,
+            y: input.clientY
+          });
+          if (!entry.dragHandle.contains(over)) {
+            event2.preventDefault();
+            return null;
+          }
+        }
+        var nativeData = (_entry$getInitialData = (_entry$getInitialData2 = entry.getInitialDataForExternal) === null || _entry$getInitialData2 === void 0 ? void 0 : _entry$getInitialData2.call(entry, feedback)) !== null && _entry$getInitialData !== void 0 ? _entry$getInitialData : null;
+        if (nativeData) {
+          for (var _i = 0, _Object$entries = Object.entries(nativeData); _i < _Object$entries.length; _i++) {
+            var _Object$entries$_i = _slicedToArray(_Object$entries[_i], 2), key = _Object$entries$_i[0], data24 = _Object$entries$_i[1];
+            event2.dataTransfer.setData(key, data24 !== null && data24 !== void 0 ? data24 : "");
+          }
+        }
+        var types = event2.dataTransfer.types;
+        if (isAndroid() && !types.includes(textMediaType) && !types.includes(urlMediaType)) {
+          event2.dataTransfer.setData(textMediaType, androidFallbackText);
+        }
+        event2.dataTransfer.setData(elementAdapterNativeDataKey, "");
+        var payload = {
+          element: entry.element,
+          dragHandle: (_entry$dragHandle2 = entry.dragHandle) !== null && _entry$dragHandle2 !== void 0 ? _entry$dragHandle2 : null,
+          data: (_entry$getInitialData3 = (_entry$getInitialData4 = entry.getInitialData) === null || _entry$getInitialData4 === void 0 ? void 0 : _entry$getInitialData4.call(entry, feedback)) !== null && _entry$getInitialData3 !== void 0 ? _entry$getInitialData3 : {}
+        };
+        var dragType = {
+          type: "element",
+          payload,
+          startedFrom: "internal"
+        };
+        api2.start({
+          event: event2,
+          dragType
+        });
+      }, "listener")
+    }));
+  }, "mount"),
+  dispatchEventToSource: /* @__PURE__ */ __name(function dispatchEventToSource(_ref) {
+    var _draggableRegistry$ge, _draggableRegistry$ge2;
+    var eventName = _ref.eventName, payload = _ref.payload;
+    (_draggableRegistry$ge = draggableRegistry.get(payload.source.element)) === null || _draggableRegistry$ge === void 0 || (_draggableRegistry$ge2 = _draggableRegistry$ge[eventName]) === null || _draggableRegistry$ge2 === void 0 || _draggableRegistry$ge2.call(
+      _draggableRegistry$ge,
+      // I cannot seem to get the types right here.
+      // TS doesn't seem to like that one event can need `nativeSetDragImage`
+      // @ts-expect-error
+      payload
+    );
+  }, "dispatchEventToSource"),
+  onPostDispatch: honeyPotFix.getOnPostDispatch()
+});
+var dropTargetForElements = adapter.dropTarget;
+var monitorForElements = adapter.monitor;
+function draggable(args) {
+  if (false) {
+    if (args.dragHandle && !args.element.contains(args.dragHandle)) {
+      console.warn("Drag handle element must be contained in draggable element", {
+        element: args.element,
+        dragHandle: args.dragHandle
+      });
+    }
+  }
+  if (false) {
+    var existing = draggableRegistry.get(args.element);
+    if (existing) {
+      console.warn("You have already registered a `draggable` on the same element", {
+        existing,
+        proposed: args
+      });
+    }
+  }
+  return combine(
+    // making the draggable register the adapter rather than drop targets
+    // this is because you *must* have a draggable element to start a drag
+    // but you _might_ not have any drop targets immediately
+    // (You might create drop targets async)
+    adapter.registerUsage(),
+    addToRegistry(args),
+    addAttribute(args.element, {
+      attribute: "draggable",
+      value: "true"
+    })
+  );
+}
+__name(draggable, "draggable");
+const _sfc_main$d = /* @__PURE__ */ defineComponent({
+  __name: "GraphCanvas",
+  emits: ["ready"],
+  setup(__props, { emit: __emit }) {
+    const emit2 = __emit;
+    const canvasRef = ref(null);
+    const settingStore = useSettingStore();
+    const nodeDefStore = useNodeDefStore();
+    const workspaceStore = useWorkspaceStore();
+    const betaMenuEnabled = computed(
+      () => settingStore.get("Comfy.UseNewMenu") !== "Disabled"
+    );
+    const nodeSearchEnabled = computed(
+      () => settingStore.get("Comfy.NodeSearchBoxImpl") === "default"
+    );
+    watch(
+      nodeSearchEnabled,
+      (newVal) => {
+        LiteGraph.release_link_on_empty_shows_menu = !newVal;
+        if (app$1.canvas) app$1.canvas.allow_searchbox = !newVal;
+      },
+      { immediate: true }
+    );
+    const canvasInfoEnabled = computed(
+      () => settingStore.get("Comfy.Graph.CanvasInfo")
+    );
+    watch(
+      canvasInfoEnabled,
+      (newVal) => {
+        if (app$1.canvas) app$1.canvas.show_info = newVal;
+      },
+      { immediate: true }
+    );
+    const zoomSpeed = computed(() => settingStore.get("Comfy.Graph.ZoomSpeed"));
+    watch(
+      zoomSpeed,
+      (newVal) => {
+        if (app$1.canvas) app$1.canvas["zoom_speed"] = newVal;
+      },
+      { immediate: true }
+    );
+    watchEffect(() => {
+      nodeDefStore.showDeprecated = settingStore.get("Comfy.Node.ShowDeprecated");
+    });
+    watchEffect(() => {
+      nodeDefStore.showExperimental = settingStore.get(
+        "Comfy.Node.ShowExperimental"
+      );
+    });
+    watchEffect(() => {
+      const spellcheckEnabled = settingStore.get("Comfy.TextareaWidget.Spellcheck");
+      const textareas = document.querySelectorAll("textarea.comfy-multiline-input");
+      textareas.forEach((textarea) => {
+        textarea.spellcheck = spellcheckEnabled;
+        textarea.focus();
+        textarea.blur();
+      });
+    });
+    let dropTargetCleanup = /* @__PURE__ */ __name(() => {
+    }, "dropTargetCleanup");
+    onMounted(async () => {
+      window["LiteGraph"] = LiteGraph;
+      window["LGraph"] = LGraph;
+      window["LLink"] = LLink;
+      window["LGraphNode"] = LGraphNode;
+      window["LGraphGroup"] = LGraphGroup;
+      window["DragAndScale"] = DragAndScale;
+      window["LGraphCanvas"] = LGraphCanvas;
+      window["ContextMenu"] = ContextMenu;
+      app$1.vueAppReady = true;
+      workspaceStore.spinner = true;
+      await app$1.setup(canvasRef.value);
+      app$1.canvas.allow_searchbox = !nodeSearchEnabled.value;
+      app$1.canvas.show_info = canvasInfoEnabled.value;
+      app$1.canvas["zoom_speed"] = zoomSpeed.value;
+      workspaceStore.spinner = false;
+      window["app"] = app$1;
+      window["graph"] = app$1.graph;
+      dropTargetCleanup = dropTargetForElements({
+        element: canvasRef.value,
+        onDrop: /* @__PURE__ */ __name((event2) => {
+          const loc = event2.location.current.input;
+          const dndData = event2.source.data;
+          if (dndData.type === "add-node") {
+            const nodeDef = dndData.data;
+            const pos2 = app$1.clientPosToCanvasPos([
+              loc.clientX - 20,
+              loc.clientY
+            ]);
+            app$1.addNodeOnGraph(nodeDef, { pos: pos2 });
+          }
+        }, "onDrop")
+      });
+      emit2("ready");
+    });
+    onUnmounted(() => {
+      dropTargetCleanup();
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock(Fragment, null, [
+        (openBlock(), createBlock(Teleport, { to: ".graph-canvas-container" }, [
+          betaMenuEnabled.value ? (openBlock(), createBlock(LiteGraphCanvasSplitterOverlay, { key: 0 }, {
+            "side-bar-panel": withCtx(() => [
+              createVNode(SideToolbar)
+            ]),
+            _: 1
+          })) : createCommentVNode("", true),
+          createVNode(NodeTitleEditor),
+          createBaseVNode("canvas", {
+            ref_key: "canvasRef",
+            ref: canvasRef,
+            id: "graph-canvas",
+            tabindex: "1"
+          }, null, 512)
+        ])),
+        nodeSearchEnabled.value ? (openBlock(), createBlock(_sfc_main$f, { key: 0 })) : createCommentVNode("", true),
+        createVNode(NodeTooltip)
+      ], 64);
+    };
+  }
+});
+var theme$8 = /* @__PURE__ */ __name(function theme29(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-confirmpopup {\n    position: absolute;\n    margin-top: ".concat(dt3("confirmpopup.gutter"), ";\n    top: 0;\n    left: 0;\n    background: ").concat(dt3("confirmpopup.background"), ";\n    color: ").concat(dt3("confirmpopup.color"), ";\n    border: 1px solid ").concat(dt3("confirmpopup.border.color"), ";\n    border-radius: ").concat(dt3("confirmpopup.border.radius"), ";\n    box-shadow: ").concat(dt3("confirmpopup.shadow"), ";\n}\n\n.p-confirmpopup-content {\n    display: flex;\n    align-items: center;\n    padding: ").concat(dt3("confirmpopup.content.padding"), ";\n    gap: ").concat(dt3("confirmpopup.content.gap"), ";\n}\n\n.p-confirmpopup-icon {\n    font-size: ").concat(dt3("confirmpopup.icon.size"), ";\n    width: ").concat(dt3("confirmpopup.icon.size"), ";\n    height: ").concat(dt3("confirmpopup.icon.size"), ";\n    color: ").concat(dt3("confirmpopup.icon.color"), ";\n}\n\n.p-confirmpopup-footer {\n    display: flex;\n    justify-content: flex-end;\n    gap: ").concat(dt3("confirmpopup.footer.gap"), ";\n    padding: ").concat(dt3("confirmpopup.footer.padding"), ";\n}\n\n.p-confirmpopup-footer button {\n    width: auto;\n}\n\n.p-confirmpopup-footer button:last-child {\n    margin: 0;\n}\n\n.p-confirmpopup-flipped {\n    margin-top: calc(").concat(dt3("confirmpopup.gutter"), " * -1);\n    margin-bottom: ").concat(dt3("confirmpopup.gutter"), ";\n}\n\n.p-confirmpopup-enter-from {\n    opacity: 0;\n    transform: scaleY(0.8);\n}\n\n.p-confirmpopup-leave-to {\n    opacity: 0;\n}\n\n.p-confirmpopup-enter-active {\n    transition: transform 0.12s cubic-bezier(0, 0, 0.2, 1), opacity 0.12s cubic-bezier(0, 0, 0.2, 1);\n}\n\n.p-confirmpopup-leave-active {\n    transition: opacity 0.1s linear;\n}\n\n.p-confirmpopup:after,\n.p-confirmpopup:before {\n    bottom: 100%;\n    left: ").concat(dt3("confirmpopup.arrow.offset"), ';\n    content: " ";\n    height: 0;\n    width: 0;\n    position: absolute;\n    pointer-events: none;\n}\n\n.p-confirmpopup:after {\n    border-width: calc(').concat(dt3("confirmpopup.gutter"), " - 2px);\n    margin-left: calc(-1 * (").concat(dt3("confirmpopup.gutter"), " - 2px));\n    border-style: solid;\n    border-color: transparent;\n    border-bottom-color: ").concat(dt3("confirmpopup.background"), ";\n}\n\n.p-confirmpopup:before {\n    border-width: ").concat(dt3("confirmpopup.gutter"), ";\n    margin-left: calc(-1 * ").concat(dt3("confirmpopup.gutter"), ");\n    border-style: solid;\n    border-color: transparent;\n    border-bottom-color: ").concat(dt3("confirmpopup.border.color"), ";\n}\n\n.p-confirmpopup-flipped:after,\n.p-confirmpopup-flipped:before {\n    bottom: auto;\n    top: 100%;\n}\n\n.p-confirmpopup-flipped:after {\n    border-bottom-color: transparent;\n    border-top-color: ").concat(dt3("confirmpopup.background"), ";\n}\n\n.p-confirmpopup-flipped:before {\n    border-bottom-color: transparent;\n    border-top-color: ").concat(dt3("confirmpopup.border.color"), ";\n}\n");
+}, "theme");
+var classes$8 = {
+  root: "p-confirmpopup p-component",
+  content: "p-confirmpopup-content",
+  icon: "p-confirmpopup-icon",
+  message: "p-confirmpopup-message",
+  footer: "p-confirmpopup-footer",
+  pcRejectButton: "p-confirmpopup-reject-button",
+  pcAcceptButton: "p-confirmpopup-accept-button"
+};
+var ConfirmPopupStyle = BaseStyle.extend({
+  name: "confirmpopup",
+  theme: theme$8,
+  classes: classes$8
+});
+var script$1$8 = {
+  name: "BaseConfirmPopup",
+  "extends": script$X,
+  props: {
+    group: String
+  },
+  style: ConfirmPopupStyle,
+  provide: /* @__PURE__ */ __name(function provide32() {
+    return {
+      $pcConfirmPopup: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$h = {
+  name: "ConfirmPopup",
+  "extends": script$1$8,
+  inheritAttrs: false,
+  data: /* @__PURE__ */ __name(function data14() {
+    return {
+      visible: false,
+      confirmation: null,
+      autoFocusAccept: null,
+      autoFocusReject: null
+    };
+  }, "data"),
+  target: null,
+  outsideClickListener: null,
+  scrollHandler: null,
+  resizeListener: null,
+  container: null,
+  confirmListener: null,
+  closeListener: null,
+  mounted: /* @__PURE__ */ __name(function mounted13() {
+    var _this = this;
+    this.confirmListener = function(options3) {
+      if (!options3) {
+        return;
+      }
+      if (options3.group === _this.group) {
+        _this.confirmation = options3;
+        _this.target = options3.target;
+        if (_this.confirmation.onShow) {
+          _this.confirmation.onShow();
+        }
+        _this.visible = true;
+      }
+    };
+    this.closeListener = function() {
+      _this.visible = false;
+      _this.confirmation = null;
+    };
+    ConfirmationEventBus.on("confirm", this.confirmListener);
+    ConfirmationEventBus.on("close", this.closeListener);
+  }, "mounted"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount8() {
+    ConfirmationEventBus.off("confirm", this.confirmListener);
+    ConfirmationEventBus.off("close", this.closeListener);
+    this.unbindOutsideClickListener();
+    if (this.scrollHandler) {
+      this.scrollHandler.destroy();
+      this.scrollHandler = null;
+    }
+    this.unbindResizeListener();
+    if (this.container) {
+      ZIndex.clear(this.container);
+      this.container = null;
+    }
+    this.target = null;
+    this.confirmation = null;
+  }, "beforeUnmount"),
+  methods: {
+    accept: /* @__PURE__ */ __name(function accept() {
+      if (this.confirmation.accept) {
+        this.confirmation.accept();
+      }
+      this.visible = false;
+    }, "accept"),
+    reject: /* @__PURE__ */ __name(function reject() {
+      if (this.confirmation.reject) {
+        this.confirmation.reject();
+      }
+      this.visible = false;
+    }, "reject"),
+    onHide: /* @__PURE__ */ __name(function onHide() {
+      if (this.confirmation.onHide) {
+        this.confirmation.onHide();
+      }
+      this.visible = false;
+    }, "onHide"),
+    onAcceptKeydown: /* @__PURE__ */ __name(function onAcceptKeydown(event2) {
+      if (event2.code === "Space" || event2.code === "Enter" || event2.code === "NumpadEnter") {
+        this.accept();
+        focus(this.target);
+        event2.preventDefault();
+      }
+    }, "onAcceptKeydown"),
+    onRejectKeydown: /* @__PURE__ */ __name(function onRejectKeydown(event2) {
+      if (event2.code === "Space" || event2.code === "Enter" || event2.code === "NumpadEnter") {
+        this.reject();
+        focus(this.target);
+        event2.preventDefault();
+      }
+    }, "onRejectKeydown"),
+    onEnter: /* @__PURE__ */ __name(function onEnter2(el) {
+      this.autoFocusAccept = this.confirmation.defaultFocus === void 0 || this.confirmation.defaultFocus === "accept" ? true : false;
+      this.autoFocusReject = this.confirmation.defaultFocus === "reject" ? true : false;
+      this.bindOutsideClickListener();
+      this.bindScrollListener();
+      this.bindResizeListener();
+      ZIndex.set("overlay", el, this.$primevue.config.zIndex.overlay);
+    }, "onEnter"),
+    onAfterEnter: /* @__PURE__ */ __name(function onAfterEnter() {
+      this.focus();
+    }, "onAfterEnter"),
+    onLeave: /* @__PURE__ */ __name(function onLeave2() {
+      this.autoFocusAccept = null;
+      this.autoFocusReject = null;
+      this.unbindOutsideClickListener();
+      this.unbindScrollListener();
+      this.unbindResizeListener();
+    }, "onLeave"),
+    onAfterLeave: /* @__PURE__ */ __name(function onAfterLeave2(el) {
+      ZIndex.clear(el);
+    }, "onAfterLeave"),
+    alignOverlay: /* @__PURE__ */ __name(function alignOverlay4() {
+      absolutePosition(this.container, this.target, false);
+      var containerOffset = getOffset(this.container);
+      var targetOffset = getOffset(this.target);
+      var arrowLeft = 0;
+      if (containerOffset.left < targetOffset.left) {
+        arrowLeft = targetOffset.left - containerOffset.left;
+      }
+      this.container.style.setProperty($dt("overlay.arrow.left").name, "".concat(arrowLeft, "px"));
+      if (containerOffset.top < targetOffset.top) {
+        this.container.setAttribute("data-p-confirmpopup-flipped", "true");
+        !this.isUnstyled && addClass(this.container, "p-confirmpopup-flipped");
+      }
+    }, "alignOverlay"),
+    bindOutsideClickListener: /* @__PURE__ */ __name(function bindOutsideClickListener3() {
+      var _this2 = this;
+      if (!this.outsideClickListener) {
+        this.outsideClickListener = function(event2) {
+          if (_this2.visible && _this2.container && !_this2.container.contains(event2.target) && !_this2.isTargetClicked(event2)) {
+            if (_this2.confirmation.onHide) {
+              _this2.confirmation.onHide();
+            }
+            _this2.visible = false;
+          } else {
+            _this2.alignOverlay();
+          }
+        };
+        document.addEventListener("click", this.outsideClickListener);
+      }
+    }, "bindOutsideClickListener"),
+    unbindOutsideClickListener: /* @__PURE__ */ __name(function unbindOutsideClickListener3() {
+      if (this.outsideClickListener) {
+        document.removeEventListener("click", this.outsideClickListener);
+        this.outsideClickListener = null;
+      }
+    }, "unbindOutsideClickListener"),
+    bindScrollListener: /* @__PURE__ */ __name(function bindScrollListener4() {
+      var _this3 = this;
+      if (!this.scrollHandler) {
+        this.scrollHandler = new ConnectedOverlayScrollHandler(this.target, function() {
+          if (_this3.visible) {
+            _this3.visible = false;
+          }
+        });
+      }
+      this.scrollHandler.bindScrollListener();
+    }, "bindScrollListener"),
+    unbindScrollListener: /* @__PURE__ */ __name(function unbindScrollListener4() {
+      if (this.scrollHandler) {
+        this.scrollHandler.unbindScrollListener();
+      }
+    }, "unbindScrollListener"),
+    bindResizeListener: /* @__PURE__ */ __name(function bindResizeListener4() {
+      var _this4 = this;
+      if (!this.resizeListener) {
+        this.resizeListener = function() {
+          if (_this4.visible && !isTouchDevice()) {
+            _this4.visible = false;
+          }
+        };
+        window.addEventListener("resize", this.resizeListener);
+      }
+    }, "bindResizeListener"),
+    unbindResizeListener: /* @__PURE__ */ __name(function unbindResizeListener4() {
+      if (this.resizeListener) {
+        window.removeEventListener("resize", this.resizeListener);
+        this.resizeListener = null;
+      }
+    }, "unbindResizeListener"),
+    focus: /* @__PURE__ */ __name(function focus2() {
+      var focusTarget = this.container.querySelector("[autofocus]");
+      if (focusTarget) {
+        focusTarget.focus({
+          preventScroll: true
+        });
+      }
+    }, "focus"),
+    isTargetClicked: /* @__PURE__ */ __name(function isTargetClicked(event2) {
+      return this.target && (this.target === event2.target || this.target.contains(event2.target));
+    }, "isTargetClicked"),
+    containerRef: /* @__PURE__ */ __name(function containerRef2(el) {
+      this.container = el;
+    }, "containerRef"),
+    onOverlayClick: /* @__PURE__ */ __name(function onOverlayClick3(event2) {
+      OverlayEventBus.emit("overlay-click", {
+        originalEvent: event2,
+        target: this.target
+      });
+    }, "onOverlayClick"),
+    onOverlayKeydown: /* @__PURE__ */ __name(function onOverlayKeydown(event2) {
+      if (event2.code === "Escape") {
+        ConfirmationEventBus.emit("close", this.closeListener);
+        focus(this.target);
+      }
+    }, "onOverlayKeydown"),
+    getCXOptions: /* @__PURE__ */ __name(function getCXOptions(icon2, iconProps) {
+      return {
+        contenxt: {
+          icon: icon2,
+          iconClass: iconProps["class"]
+        }
+      };
+    }, "getCXOptions")
+  },
+  computed: {
+    message: /* @__PURE__ */ __name(function message() {
+      return this.confirmation ? this.confirmation.message : null;
+    }, "message"),
+    acceptLabel: /* @__PURE__ */ __name(function acceptLabel() {
+      if (this.confirmation) {
+        var confirmation = this.confirmation;
+        return confirmation.acceptLabel ? confirmation.acceptLabel : confirmation.acceptProps ? confirmation.acceptProps.label || this.$primevue.config.locale.accept : null;
+      }
+      return null;
+    }, "acceptLabel"),
+    rejectLabel: /* @__PURE__ */ __name(function rejectLabel() {
+      if (this.confirmation) {
+        var confirmation = this.confirmation;
+        return confirmation.rejectLabel ? confirmation.rejectLabel : confirmation.rejectProps ? confirmation.rejectProps.label || this.$primevue.config.locale.reject : null;
+      }
+      return null;
+    }, "rejectLabel"),
+    acceptIcon: /* @__PURE__ */ __name(function acceptIcon() {
+      var _this$confirmation;
+      return this.confirmation ? this.confirmation.acceptIcon : (_this$confirmation = this.confirmation) !== null && _this$confirmation !== void 0 && _this$confirmation.acceptProps ? this.confirmation.acceptProps.icon : null;
+    }, "acceptIcon"),
+    rejectIcon: /* @__PURE__ */ __name(function rejectIcon() {
+      var _this$confirmation2;
+      return this.confirmation ? this.confirmation.rejectIcon : (_this$confirmation2 = this.confirmation) !== null && _this$confirmation2 !== void 0 && _this$confirmation2.rejectProps ? this.confirmation.rejectProps.icon : null;
+    }, "rejectIcon")
+  },
+  components: {
+    Button: script$J,
+    Portal: script$z
+  },
+  directives: {
+    focustrap: FocusTrap
+  }
+};
+var _hoisted_1$o = ["aria-modal"];
+function render$g(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_Button = resolveComponent("Button");
+  var _component_Portal = resolveComponent("Portal");
+  var _directive_focustrap = resolveDirective("focustrap");
+  return openBlock(), createBlock(_component_Portal, null, {
+    "default": withCtx(function() {
+      return [createVNode(Transition, mergeProps({
+        name: "p-confirmpopup",
+        onEnter: $options.onEnter,
+        onAfterEnter: $options.onAfterEnter,
+        onLeave: $options.onLeave,
+        onAfterLeave: $options.onAfterLeave
+      }, _ctx.ptm("transition")), {
+        "default": withCtx(function() {
+          var _$data$confirmation$r, _$data$confirmation$r2, _$data$confirmation$a;
+          return [$data.visible ? withDirectives((openBlock(), createElementBlock("div", mergeProps({
+            key: 0,
+            ref: $options.containerRef,
+            role: "alertdialog",
+            "class": _ctx.cx("root"),
+            "aria-modal": $data.visible,
+            onClick: _cache[2] || (_cache[2] = function() {
+              return $options.onOverlayClick && $options.onOverlayClick.apply($options, arguments);
+            }),
+            onKeydown: _cache[3] || (_cache[3] = function() {
+              return $options.onOverlayKeydown && $options.onOverlayKeydown.apply($options, arguments);
+            })
+          }, _ctx.ptmi("root")), [_ctx.$slots.container ? renderSlot(_ctx.$slots, "container", {
+            key: 0,
+            message: $data.confirmation,
+            acceptCallback: $options.accept,
+            rejectCallback: $options.reject
+          }) : (openBlock(), createElementBlock(Fragment, {
+            key: 1
+          }, [!_ctx.$slots.message ? (openBlock(), createElementBlock("div", mergeProps({
+            key: 0,
+            "class": _ctx.cx("content")
+          }, _ctx.ptm("content")), [renderSlot(_ctx.$slots, "icon", {}, function() {
+            return [_ctx.$slots.icon ? (openBlock(), createBlock(resolveDynamicComponent(_ctx.$slots.icon), {
+              key: 0,
+              "class": normalizeClass(_ctx.cx("icon"))
+            }, null, 8, ["class"])) : $data.confirmation.icon ? (openBlock(), createElementBlock("span", mergeProps({
+              key: 1,
+              "class": [$data.confirmation.icon, _ctx.cx("icon")]
+            }, _ctx.ptm("icon")), null, 16)) : createCommentVNode("", true)];
+          }), createBaseVNode("span", mergeProps({
+            "class": _ctx.cx("message")
+          }, _ctx.ptm("message")), toDisplayString$1($data.confirmation.message), 17)], 16)) : (openBlock(), createBlock(resolveDynamicComponent(_ctx.$slots.message), {
+            key: 1,
+            message: $data.confirmation
+          }, null, 8, ["message"])), createBaseVNode("div", mergeProps({
+            "class": _ctx.cx("footer")
+          }, _ctx.ptm("footer")), [createVNode(_component_Button, mergeProps({
+            "class": [_ctx.cx("pcRejectButton"), $data.confirmation.rejectClass],
+            autofocus: $data.autoFocusReject,
+            unstyled: _ctx.unstyled,
+            size: ((_$data$confirmation$r = $data.confirmation.rejectProps) === null || _$data$confirmation$r === void 0 ? void 0 : _$data$confirmation$r.size) || "small",
+            text: ((_$data$confirmation$r2 = $data.confirmation.rejectProps) === null || _$data$confirmation$r2 === void 0 ? void 0 : _$data$confirmation$r2.text) || false,
+            onClick: _cache[0] || (_cache[0] = function($event) {
+              return $options.reject();
+            }),
+            onKeydown: $options.onRejectKeydown
+          }, $data.confirmation.rejectProps, {
+            label: $options.rejectLabel,
+            pt: _ctx.ptm("pcRejectButton")
+          }), createSlots({
+            _: 2
+          }, [$options.rejectIcon || _ctx.$slots.rejecticon ? {
+            name: "icon",
+            fn: withCtx(function(iconProps) {
+              return [renderSlot(_ctx.$slots, "rejecticon", {}, function() {
+                return [createBaseVNode("span", mergeProps({
+                  "class": [$options.rejectIcon, iconProps["class"]]
+                }, _ctx.ptm("pcRejectButton")["icon"], {
+                  "data-pc-section": "rejectbuttonicon"
+                }), null, 16)];
+              })];
+            }),
+            key: "0"
+          } : void 0]), 1040, ["class", "autofocus", "unstyled", "size", "text", "onKeydown", "label", "pt"]), createVNode(_component_Button, mergeProps({
+            "class": [_ctx.cx("pcAcceptButton"), $data.confirmation.acceptClass],
+            autofocus: $data.autoFocusAccept,
+            unstyled: _ctx.unstyled,
+            size: ((_$data$confirmation$a = $data.confirmation.acceptProps) === null || _$data$confirmation$a === void 0 ? void 0 : _$data$confirmation$a.size) || "small",
+            onClick: _cache[1] || (_cache[1] = function($event) {
+              return $options.accept();
+            }),
+            onKeydown: $options.onAcceptKeydown
+          }, $data.confirmation.acceptProps, {
+            label: $options.acceptLabel,
+            pt: _ctx.ptm("pcAcceptButton")
+          }), createSlots({
+            _: 2
+          }, [$options.acceptIcon || _ctx.$slots.accepticon ? {
+            name: "icon",
+            fn: withCtx(function(iconProps) {
+              return [renderSlot(_ctx.$slots, "accepticon", {}, function() {
+                return [createBaseVNode("span", mergeProps({
+                  "class": [$options.acceptIcon, iconProps["class"]]
+                }, _ctx.ptm("pcAcceptButton")["icon"], {
+                  "data-pc-section": "acceptbuttonicon"
+                }), null, 16)];
+              })];
+            }),
+            key: "0"
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+        }),
+        _: 3
+      }, 16, ["onEnter", "onAfterEnter", "onLeave", "onAfterLeave"])];
+    }),
+    _: 3
+  });
+}
+__name(render$g, "render$g");
+script$h.render = render$g;
+var theme$7 = /* @__PURE__ */ __name(function theme30(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-contextmenu {\n    background: ".concat(dt3("contextmenu.background"), ";\n    color: ").concat(dt3("contextmenu.color"), ";\n    border: 1px solid ").concat(dt3("contextmenu.border.color"), ";\n    border-radius: ").concat(dt3("contextmenu.border.radius"), ";\n    box-shadow: ").concat(dt3("contextmenu.shadow"), ";\n    min-width: 12.5rem;\n}\n\n.p-contextmenu-root-list,\n.p-contextmenu-submenu {\n    margin: 0;\n    padding: ").concat(dt3("contextmenu.list.padding"), ";\n    list-style: none;\n    outline: 0 none;\n    display: flex;\n    flex-direction: column;\n    gap: ").concat(dt3("contextmenu.list.gap"), ";\n}\n\n.p-contextmenu-submenu {\n    position: absolute;\n    display: flex;\n    flex-direction: column;\n    min-width: 100%;\n    z-index: 1;\n    background: ").concat(dt3("contextmenu.background"), ";\n    color: ").concat(dt3("contextmenu.color"), ";\n    border: 1px solid ").concat(dt3("contextmenu.border.color"), ";\n    border-radius: ").concat(dt3("contextmenu.border.radius"), ";\n    box-shadow: ").concat(dt3("contextmenu.shadow"), ";\n}\n\n.p-contextmenu-item {\n    position: relative;\n}\n\n.p-contextmenu-item-content {\n    transition: background ").concat(dt3("contextmenu.transition.duration"), ", color ").concat(dt3("contextmenu.transition.duration"), ";\n    border-radius: ").concat(dt3("contextmenu.item.border.radius"), ";\n    color: ").concat(dt3("contextmenu.item.color"), ";\n}\n\n.p-contextmenu-item-link {\n    cursor: pointer;\n    display: flex;\n    align-items: center;\n    text-decoration: none;\n    overflow: hidden;\n    position: relative;\n    color: inherit;\n    padding: ").concat(dt3("contextmenu.item.padding"), ";\n    gap: ").concat(dt3("contextmenu.item.gap"), ";\n    user-select: none;\n}\n\n.p-contextmenu-item-label {\n    line-height: 1;\n}\n\n.p-contextmenu-item-icon {\n    color: ").concat(dt3("contextmenu.item.icon.color"), ";\n}\n\n.p-contextmenu-submenu-icon {\n    color: ").concat(dt3("contextmenu.submenu.icon.color"), ";\n    margin-left: auto;\n    font-size: ").concat(dt3("contextmenu.submenu.icon.size"), ";\n    width: ").concat(dt3("contextmenu.submenu.icon.size"), ";\n    height: ").concat(dt3("contextmenu.submenu.icon.size"), ";\n}\n\n.p-contextmenu-item.p-focus > .p-contextmenu-item-content {\n    color: ").concat(dt3("contextmenu.item.focus.color"), ";\n    background: ").concat(dt3("contextmenu.item.focus.background"), ";\n}\n\n.p-contextmenu-item.p-focus > .p-contextmenu-item-content .p-contextmenu-item-icon {\n    color: ").concat(dt3("contextmenu.item.icon.focus.color"), ";\n}\n\n.p-contextmenu-item.p-focus > .p-contextmenu-item-content .p-contextmenu-submenu-icon {\n    color: ").concat(dt3("contextmenu.submenu.icon.focus.color"), ";\n}\n\n.p-contextmenu-item:not(.p-disabled) > .p-contextmenu-item-content:hover {\n    color: ").concat(dt3("contextmenu.item.focus.color"), ";\n    background: ").concat(dt3("contextmenu.item.focus.background"), ";\n}\n\n.p-contextmenu-item:not(.p-disabled) > .p-contextmenu-item-content:hover .p-contextmenu-item-icon {\n    color: ").concat(dt3("contextmenu.item.icon.focus.color"), ";\n}\n\n.p-contextmenu-item:not(.p-disabled) > .p-contextmenu-item-content:hover .p-contextmenu-submenu-icon {\n    color: ").concat(dt3("contextmenu.submenu.icon.focus.color"), ";\n}\n\n.p-contextmenu-item-active > .p-contextmenu-item-content {\n    color: ").concat(dt3("contextmenu.item.active.color"), ";\n    background: ").concat(dt3("contextmenu.item.active.background"), ";\n}\n\n.p-contextmenu-item-active > .p-contextmenu-item-content .p-contextmenu-item-icon {\n    color: ").concat(dt3("contextmenu.item.icon.active.color"), ";\n}\n\n.p-contextmenu-item-active > .p-contextmenu-item-content .p-contextmenu-submenu-icon {\n    color: ").concat(dt3("contextmenu.submenu.icon.active.color"), ";\n}\n\n.p-contextmenu-separator {\n    border-top: 1px solid  ").concat(dt3("contextmenu.separator.border.color"), ";\n}\n\n.p-contextmenu-enter-from,\n.p-contextmenu-leave-active {\n    opacity: 0;\n}\n\n.p-contextmenu-enter-active {\n    transition: opacity 250ms;\n}\n");
+}, "theme");
+var classes$7 = {
+  root: "p-contextmenu p-component",
+  rootList: "p-contextmenu-root-list",
+  item: /* @__PURE__ */ __name(function item(_ref2) {
+    var instance = _ref2.instance, processedItem = _ref2.processedItem;
+    return ["p-contextmenu-item", {
+      "p-contextmenu-item-active": instance.isItemActive(processedItem),
+      "p-focus": instance.isItemFocused(processedItem),
+      "p-disabled": instance.isItemDisabled(processedItem)
+    }];
+  }, "item"),
+  itemContent: "p-contextmenu-item-content",
+  itemLink: "p-contextmenu-item-link",
+  itemIcon: "p-contextmenu-item-icon",
+  itemLabel: "p-contextmenu-item-label",
+  submenuIcon: "p-contextmenu-submenu-icon",
+  submenu: "p-contextmenu-submenu",
+  separator: "p-contextmenu-separator"
+};
+var ContextMenuStyle = BaseStyle.extend({
+  name: "contextmenu",
+  theme: theme$7,
+  classes: classes$7
+});
+var script$g = {
+  name: "AngleRightIcon",
+  "extends": script$U
+};
+var _hoisted_1$n = /* @__PURE__ */ createBaseVNode("path", {
+  d: "M5.25 11.1728C5.14929 11.1694 5.05033 11.1455 4.9592 11.1025C4.86806 11.0595 4.78666 10.9984 4.72 10.9228C4.57955 10.7822 4.50066 10.5916 4.50066 10.3928C4.50066 10.1941 4.57955 10.0035 4.72 9.86283L7.72 6.86283L4.72 3.86283C4.66067 3.71882 4.64765 3.55991 4.68275 3.40816C4.71785 3.25642 4.79932 3.11936 4.91585 3.01602C5.03238 2.91268 5.17819 2.84819 5.33305 2.83149C5.4879 2.81479 5.64411 2.84671 5.78 2.92283L9.28 6.42283C9.42045 6.56346 9.49934 6.75408 9.49934 6.95283C9.49934 7.15158 9.42045 7.34221 9.28 7.48283L5.78 10.9228C5.71333 10.9984 5.63193 11.0595 5.5408 11.1025C5.44966 11.1455 5.35071 11.1694 5.25 11.1728Z",
+  fill: "currentColor"
+}, null, -1);
+var _hoisted_2$h = [_hoisted_1$n];
+function render$f(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("svg", mergeProps({
+    width: "14",
+    height: "14",
+    viewBox: "0 0 14 14",
+    fill: "none",
+    xmlns: "http://www.w3.org/2000/svg"
+  }, _ctx.pti()), _hoisted_2$h, 16);
+}
+__name(render$f, "render$f");
+script$g.render = render$f;
+var script$2$3 = {
+  name: "BaseContextMenu",
+  "extends": script$X,
+  props: {
+    model: {
+      type: Array,
+      "default": null
+    },
+    appendTo: {
+      type: [String, Object],
+      "default": "body"
+    },
+    autoZIndex: {
+      type: Boolean,
+      "default": true
+    },
+    baseZIndex: {
+      type: Number,
+      "default": 0
+    },
+    global: {
+      type: Boolean,
+      "default": false
+    },
+    tabindex: {
+      type: Number,
+      "default": 0
+    },
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    }
+  },
+  style: ContextMenuStyle,
+  provide: /* @__PURE__ */ __name(function provide33() {
+    return {
+      $pcContextMenu: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$1$7 = {
+  name: "ContextMenuSub",
+  hostName: "ContextMenu",
+  "extends": script$X,
+  emits: ["item-click", "item-mouseenter", "item-mousemove"],
+  props: {
+    items: {
+      type: Array,
+      "default": null
+    },
+    menuId: {
+      type: String,
+      "default": null
+    },
+    focusedItemId: {
+      type: String,
+      "default": null
+    },
+    root: {
+      type: Boolean,
+      "default": false
+    },
+    visible: {
+      type: Boolean,
+      "default": false
+    },
+    level: {
+      type: Number,
+      "default": 0
+    },
+    templates: {
+      type: Object,
+      "default": null
+    },
+    activeItemPath: {
+      type: Object,
+      "default": null
+    },
+    tabindex: {
+      type: Number,
+      "default": 0
+    }
+  },
+  methods: {
+    getItemId: /* @__PURE__ */ __name(function getItemId(processedItem) {
+      return "".concat(this.menuId, "_").concat(processedItem.key);
+    }, "getItemId"),
+    getItemKey: /* @__PURE__ */ __name(function getItemKey(processedItem) {
+      return this.getItemId(processedItem);
+    }, "getItemKey"),
+    getItemProp: /* @__PURE__ */ __name(function getItemProp(processedItem, name, params) {
+      return processedItem && processedItem.item ? resolve(processedItem.item[name], params) : void 0;
+    }, "getItemProp"),
+    getItemLabel: /* @__PURE__ */ __name(function getItemLabel(processedItem) {
+      return this.getItemProp(processedItem, "label");
+    }, "getItemLabel"),
+    getItemLabelId: /* @__PURE__ */ __name(function getItemLabelId(processedItem) {
+      return "".concat(this.menuId, "_").concat(processedItem.key, "_label");
+    }, "getItemLabelId"),
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions10(key, processedItem, index2) {
+      return this.ptm(key, {
+        context: {
+          item: processedItem,
+          active: this.isItemActive(processedItem),
+          focused: this.isItemFocused(processedItem),
+          disabled: this.isItemDisabled(processedItem),
+          index: index2
+        }
+      });
+    }, "getPTOptions"),
+    isItemActive: /* @__PURE__ */ __name(function isItemActive(processedItem) {
+      return this.activeItemPath.some(function(path) {
+        return path.key === processedItem.key;
+      });
+    }, "isItemActive"),
+    isItemVisible: /* @__PURE__ */ __name(function isItemVisible(processedItem) {
+      return this.getItemProp(processedItem, "visible") !== false;
+    }, "isItemVisible"),
+    isItemDisabled: /* @__PURE__ */ __name(function isItemDisabled(processedItem) {
+      return this.getItemProp(processedItem, "disabled");
+    }, "isItemDisabled"),
+    isItemFocused: /* @__PURE__ */ __name(function isItemFocused(processedItem) {
+      return this.focusedItemId === this.getItemId(processedItem);
+    }, "isItemFocused"),
+    isItemGroup: /* @__PURE__ */ __name(function isItemGroup(processedItem) {
+      return isNotEmpty(processedItem.items);
+    }, "isItemGroup"),
+    onItemClick: /* @__PURE__ */ __name(function onItemClick(event2, processedItem) {
+      this.getItemProp(processedItem, "command", {
+        originalEvent: event2,
+        item: processedItem.item
+      });
+      this.$emit("item-click", {
+        originalEvent: event2,
+        processedItem,
+        isFocus: true
+      });
+    }, "onItemClick"),
+    onItemMouseEnter: /* @__PURE__ */ __name(function onItemMouseEnter(event2, processedItem) {
+      this.$emit("item-mouseenter", {
+        originalEvent: event2,
+        processedItem
+      });
+    }, "onItemMouseEnter"),
+    onItemMouseMove: /* @__PURE__ */ __name(function onItemMouseMove(event2, processedItem) {
+      this.$emit("item-mousemove", {
+        originalEvent: event2,
+        processedItem,
+        isFocus: true
+      });
+    }, "onItemMouseMove"),
+    getAriaSetSize: /* @__PURE__ */ __name(function getAriaSetSize() {
+      var _this = this;
+      return this.items.filter(function(processedItem) {
+        return _this.isItemVisible(processedItem) && !_this.getItemProp(processedItem, "separator");
+      }).length;
+    }, "getAriaSetSize"),
+    getAriaPosInset: /* @__PURE__ */ __name(function getAriaPosInset4(index2) {
+      var _this2 = this;
+      return index2 - this.items.slice(0, index2).filter(function(processedItem) {
+        return _this2.isItemVisible(processedItem) && _this2.getItemProp(processedItem, "separator");
+      }).length + 1;
+    }, "getAriaPosInset"),
+    onEnter: /* @__PURE__ */ __name(function onEnter3() {
+      nestedPosition(this.$refs.container, this.level);
+    }, "onEnter"),
+    getMenuItemProps: /* @__PURE__ */ __name(function getMenuItemProps(processedItem, index2) {
+      return {
+        action: mergeProps({
+          "class": this.cx("itemLink"),
+          tabindex: -1,
+          "aria-hidden": true
+        }, this.getPTOptions("itemLink", processedItem, index2)),
+        icon: mergeProps({
+          "class": [this.cx("itemIcon"), this.getItemProp(processedItem, "icon")]
+        }, this.getPTOptions("itemIcon", processedItem, index2)),
+        label: mergeProps({
+          "class": this.cx("itemLabel")
+        }, this.getPTOptions("itemLabel", processedItem, index2)),
+        submenuicon: mergeProps({
+          "class": this.cx("submenuIcon")
+        }, this.getPTOptions("submenuicon", processedItem, index2))
+      };
+    }, "getMenuItemProps")
+  },
+  components: {
+    AngleRightIcon: script$g
+  },
+  directives: {
+    ripple: Ripple
+  }
+};
+var _hoisted_1$m = ["tabindex"];
+var _hoisted_2$g = ["id", "aria-label", "aria-disabled", "aria-expanded", "aria-haspopup", "aria-level", "aria-setsize", "aria-posinset", "data-p-active", "data-p-focused", "data-p-disabled"];
+var _hoisted_3$8 = ["onClick", "onMouseenter", "onMousemove"];
+var _hoisted_4$5 = ["href", "target"];
+var _hoisted_5$3 = ["id"];
+var _hoisted_6$2 = ["id"];
+function render$1$3(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_AngleRightIcon = resolveComponent("AngleRightIcon");
+  var _component_ContextMenuSub = resolveComponent("ContextMenuSub", true);
+  var _directive_ripple = resolveDirective("ripple");
+  return openBlock(), createBlock(Transition, mergeProps({
+    name: "p-contextmenusub",
+    onEnter: $options.onEnter
+  }, _ctx.ptm("menu.transition")), {
+    "default": withCtx(function() {
+      return [($props.root ? true : $props.visible) ? (openBlock(), createElementBlock("ul", mergeProps({
+        key: 0,
+        ref: "container",
+        tabindex: $props.tabindex
+      }, _ctx.ptm("rootList")), [(openBlock(true), createElementBlock(Fragment, null, renderList($props.items, function(processedItem, index2) {
+        return openBlock(), createElementBlock(Fragment, {
+          key: $options.getItemKey(processedItem)
+        }, [$options.isItemVisible(processedItem) && !$options.getItemProp(processedItem, "separator") ? (openBlock(), createElementBlock("li", mergeProps({
+          key: 0,
+          id: $options.getItemId(processedItem),
+          style: $options.getItemProp(processedItem, "style"),
+          "class": [_ctx.cx("item", {
+            processedItem
+          }), $options.getItemProp(processedItem, "class")],
+          role: "menuitem",
+          "aria-label": $options.getItemLabel(processedItem),
+          "aria-disabled": $options.isItemDisabled(processedItem) || void 0,
+          "aria-expanded": $options.isItemGroup(processedItem) ? $options.isItemActive(processedItem) : void 0,
+          "aria-haspopup": $options.isItemGroup(processedItem) && !$options.getItemProp(processedItem, "to") ? "menu" : void 0,
+          "aria-level": $props.level + 1,
+          "aria-setsize": $options.getAriaSetSize(),
+          "aria-posinset": $options.getAriaPosInset(index2),
+          ref_for: true
+        }, $options.getPTOptions("item", processedItem, index2), {
+          "data-p-active": $options.isItemActive(processedItem),
+          "data-p-focused": $options.isItemFocused(processedItem),
+          "data-p-disabled": $options.isItemDisabled(processedItem)
+        }), [createBaseVNode("div", mergeProps({
+          "class": _ctx.cx("itemContent"),
+          onClick: /* @__PURE__ */ __name(function onClick3($event) {
+            return $options.onItemClick($event, processedItem);
+          }, "onClick"),
+          onMouseenter: /* @__PURE__ */ __name(function onMouseenter($event) {
+            return $options.onItemMouseEnter($event, processedItem);
+          }, "onMouseenter"),
+          onMousemove: /* @__PURE__ */ __name(function onMousemove($event) {
+            return $options.onItemMouseMove($event, processedItem);
+          }, "onMousemove"),
+          ref_for: true
+        }, $options.getPTOptions("itemContent", processedItem, index2)), [!$props.templates.item ? withDirectives((openBlock(), createElementBlock("a", mergeProps({
+          key: 0,
+          href: $options.getItemProp(processedItem, "url"),
+          "class": _ctx.cx("itemLink"),
+          target: $options.getItemProp(processedItem, "target"),
+          tabindex: "-1",
+          "aria-hidden": "true",
+          ref_for: true
+        }, $options.getPTOptions("itemLink", processedItem, index2)), [$props.templates.itemicon ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.itemicon), {
+          key: 0,
+          item: processedItem.item,
+          "class": normalizeClass(_ctx.cx("itemIcon"))
+        }, null, 8, ["item", "class"])) : $options.getItemProp(processedItem, "icon") ? (openBlock(), createElementBlock("span", mergeProps({
+          key: 1,
+          "class": [_ctx.cx("itemIcon"), $options.getItemProp(processedItem, "icon")],
+          ref_for: true
+        }, $options.getPTOptions("itemIcon", processedItem, index2)), null, 16)) : createCommentVNode("", true), createBaseVNode("span", mergeProps({
+          id: $options.getItemLabelId(processedItem),
+          "class": _ctx.cx("itemLabel"),
+          ref_for: true
+        }, $options.getPTOptions("itemLabel", processedItem, index2)), toDisplayString$1($options.getItemLabel(processedItem)), 17, _hoisted_5$3), $options.getItemProp(processedItem, "items") ? (openBlock(), createElementBlock(Fragment, {
+          key: 2
+        }, [$props.templates.submenuicon ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.submenuicon), {
+          key: 0,
+          active: $options.isItemActive(processedItem),
+          "class": normalizeClass(_ctx.cx("submenuIcon"))
+        }, null, 8, ["active", "class"])) : (openBlock(), createBlock(_component_AngleRightIcon, mergeProps({
+          key: 1,
+          "class": _ctx.cx("submenuIcon"),
+          ref_for: true
+        }, $options.getPTOptions("submenuicon", processedItem, index2)), null, 16, ["class"]))], 64)) : createCommentVNode("", true)], 16, _hoisted_4$5)), [[_directive_ripple]]) : (openBlock(), createBlock(resolveDynamicComponent($props.templates.item), {
+          key: 1,
+          item: processedItem.item,
+          hasSubmenu: $options.getItemProp(processedItem, "items"),
+          label: $options.getItemLabel(processedItem),
+          props: $options.getMenuItemProps(processedItem, index2)
+        }, null, 8, ["item", "hasSubmenu", "label", "props"]))], 16, _hoisted_3$8), $options.isItemVisible(processedItem) && $options.isItemGroup(processedItem) ? (openBlock(), createBlock(_component_ContextMenuSub, mergeProps({
+          key: 0,
+          id: $options.getItemId(processedItem) + "_list",
+          role: "menu",
+          "class": _ctx.cx("submenu"),
+          menuId: $props.menuId,
+          focusedItemId: $props.focusedItemId,
+          items: processedItem.items,
+          templates: $props.templates,
+          activeItemPath: $props.activeItemPath,
+          level: $props.level + 1,
+          visible: $options.isItemActive(processedItem) && $options.isItemGroup(processedItem),
+          pt: _ctx.pt,
+          unstyled: _ctx.unstyled,
+          onItemClick: _cache[0] || (_cache[0] = function($event) {
+            return _ctx.$emit("item-click", $event);
+          }),
+          onItemMouseenter: _cache[1] || (_cache[1] = function($event) {
+            return _ctx.$emit("item-mouseenter", $event);
+          }),
+          onItemMousemove: _cache[2] || (_cache[2] = function($event) {
+            return _ctx.$emit("item-mousemove", $event);
+          }),
+          "aria-labelledby": $options.getItemLabelId(processedItem),
+          ref_for: true
+        }, _ctx.ptm("submenu")), null, 16, ["id", "class", "menuId", "focusedItemId", "items", "templates", "activeItemPath", "level", "visible", "pt", "unstyled", "aria-labelledby"])) : createCommentVNode("", true)], 16, _hoisted_2$g)) : createCommentVNode("", true), $options.isItemVisible(processedItem) && $options.getItemProp(processedItem, "separator") ? (openBlock(), createElementBlock("li", mergeProps({
+          key: 1,
+          id: $options.getItemId(processedItem),
+          style: $options.getItemProp(processedItem, "style"),
+          "class": [_ctx.cx("separator"), $options.getItemProp(processedItem, "class")],
+          role: "separator",
+          ref_for: true
+        }, _ctx.ptm("separator")), null, 16, _hoisted_6$2)) : createCommentVNode("", true)], 64);
+      }), 128))], 16, _hoisted_1$m)) : createCommentVNode("", true)];
+    }),
+    _: 1
+  }, 16, ["onEnter"]);
+}
+__name(render$1$3, "render$1$3");
+script$1$7.render = render$1$3;
+var script$f = {
+  name: "ContextMenu",
+  "extends": script$2$3,
+  inheritAttrs: false,
+  emits: ["focus", "blur", "show", "hide", "before-show", "before-hide"],
+  target: null,
+  outsideClickListener: null,
+  resizeListener: null,
+  documentContextMenuListener: null,
+  pageX: null,
+  pageY: null,
+  container: null,
+  list: null,
+  data: /* @__PURE__ */ __name(function data15() {
+    return {
+      id: this.$attrs.id,
+      focused: false,
+      focusedItemInfo: {
+        index: -1,
+        level: 0,
+        parentKey: ""
+      },
+      activeItemPath: [],
+      visible: false,
+      submenuVisible: false
+    };
+  }, "data"),
+  watch: {
+    "$attrs.id": /* @__PURE__ */ __name(function $attrsId7(newValue) {
+      this.id = newValue || UniqueComponentId();
+    }, "$attrsId"),
+    activeItemPath: /* @__PURE__ */ __name(function activeItemPath(newPath) {
+      if (isNotEmpty(newPath)) {
+        this.bindOutsideClickListener();
+        this.bindResizeListener();
+      } else if (!this.visible) {
+        this.unbindOutsideClickListener();
+        this.unbindResizeListener();
+      }
+    }, "activeItemPath")
+  },
+  mounted: /* @__PURE__ */ __name(function mounted14() {
+    this.id = this.id || UniqueComponentId();
+    if (this.global) {
+      this.bindDocumentContextMenuListener();
+    }
+  }, "mounted"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount9() {
+    this.unbindResizeListener();
+    this.unbindOutsideClickListener();
+    this.unbindDocumentContextMenuListener();
+    if (this.container && this.autoZIndex) {
+      ZIndex.clear(this.container);
+    }
+    this.target = null;
+    this.container = null;
+  }, "beforeUnmount"),
+  methods: {
+    getItemProp: /* @__PURE__ */ __name(function getItemProp2(item2, name) {
+      return item2 ? resolve(item2[name]) : void 0;
+    }, "getItemProp"),
+    getItemLabel: /* @__PURE__ */ __name(function getItemLabel2(item2) {
+      return this.getItemProp(item2, "label");
+    }, "getItemLabel"),
+    isItemDisabled: /* @__PURE__ */ __name(function isItemDisabled2(item2) {
+      return this.getItemProp(item2, "disabled");
+    }, "isItemDisabled"),
+    isItemVisible: /* @__PURE__ */ __name(function isItemVisible2(item2) {
+      return this.getItemProp(item2, "visible") !== false;
+    }, "isItemVisible"),
+    isItemGroup: /* @__PURE__ */ __name(function isItemGroup2(item2) {
+      return isNotEmpty(this.getItemProp(item2, "items"));
+    }, "isItemGroup"),
+    isItemSeparator: /* @__PURE__ */ __name(function isItemSeparator(item2) {
+      return this.getItemProp(item2, "separator");
+    }, "isItemSeparator"),
+    getProccessedItemLabel: /* @__PURE__ */ __name(function getProccessedItemLabel(processedItem) {
+      return processedItem ? this.getItemLabel(processedItem.item) : void 0;
+    }, "getProccessedItemLabel"),
+    isProccessedItemGroup: /* @__PURE__ */ __name(function isProccessedItemGroup(processedItem) {
+      return processedItem && isNotEmpty(processedItem.items);
+    }, "isProccessedItemGroup"),
+    toggle: /* @__PURE__ */ __name(function toggle(event2) {
+      this.visible ? this.hide() : this.show(event2);
+    }, "toggle"),
+    show: /* @__PURE__ */ __name(function show4(event2) {
+      this.$emit("before-show");
+      this.activeItemPath = [];
+      this.focusedItemInfo = {
+        index: -1,
+        level: 0,
+        parentKey: ""
+      };
+      focus(this.list);
+      this.pageX = event2.pageX;
+      this.pageY = event2.pageY;
+      this.visible ? this.position() : this.visible = true;
+      event2.stopPropagation();
+      event2.preventDefault();
+    }, "show"),
+    hide: /* @__PURE__ */ __name(function hide4() {
+      this.$emit("before-hide");
+      this.visible = false;
+      this.activeItemPath = [];
+      this.focusedItemInfo = {
+        index: -1,
+        level: 0,
+        parentKey: ""
+      };
+    }, "hide"),
+    onFocus: /* @__PURE__ */ __name(function onFocus6(event2) {
+      this.focused = true;
+      this.focusedItemInfo = this.focusedItemInfo.index !== -1 ? this.focusedItemInfo : {
+        index: -1,
+        level: 0,
+        parentKey: ""
+      };
+      this.$emit("focus", event2);
+    }, "onFocus"),
+    onBlur: /* @__PURE__ */ __name(function onBlur6(event2) {
+      this.focused = false;
+      this.focusedItemInfo = {
+        index: -1,
+        level: 0,
+        parentKey: ""
+      };
+      this.searchValue = "";
+      this.$emit("blur", event2);
+    }, "onBlur"),
+    onKeyDown: /* @__PURE__ */ __name(function onKeyDown7(event2) {
+      var metaKey = event2.metaKey || event2.ctrlKey;
+      switch (event2.code) {
+        case "ArrowDown":
+          this.onArrowDownKey(event2);
+          break;
+        case "ArrowUp":
+          this.onArrowUpKey(event2);
+          break;
+        case "ArrowLeft":
+          this.onArrowLeftKey(event2);
+          break;
+        case "ArrowRight":
+          this.onArrowRightKey(event2);
+          break;
+        case "Home":
+          this.onHomeKey(event2);
+          break;
+        case "End":
+          this.onEndKey(event2);
+          break;
+        case "Space":
+          this.onSpaceKey(event2);
+          break;
+        case "Enter":
+        case "NumpadEnter":
+          this.onEnterKey(event2);
+          break;
+        case "Escape":
+          this.onEscapeKey(event2);
+          break;
+        case "Tab":
+          this.onTabKey(event2);
+          break;
+        case "PageDown":
+        case "PageUp":
+        case "Backspace":
+        case "ShiftLeft":
+        case "ShiftRight":
+          break;
+        default:
+          if (!metaKey && isPrintableCharacter(event2.key)) {
+            this.searchItems(event2, event2.key);
+          }
+          break;
+      }
+    }, "onKeyDown"),
+    onItemChange: /* @__PURE__ */ __name(function onItemChange(event2) {
+      var processedItem = event2.processedItem, isFocus = event2.isFocus;
+      if (isEmpty(processedItem)) return;
+      var index2 = processedItem.index, key = processedItem.key, level = processedItem.level, parentKey = processedItem.parentKey, items2 = processedItem.items;
+      var grouped = isNotEmpty(items2);
+      var activeItemPath2 = this.activeItemPath.filter(function(p2) {
+        return p2.parentKey !== parentKey && p2.parentKey !== key;
+      });
+      if (grouped) {
+        activeItemPath2.push(processedItem);
+        this.submenuVisible = true;
+      }
+      this.focusedItemInfo = {
+        index: index2,
+        level,
+        parentKey
+      };
+      this.activeItemPath = activeItemPath2;
+      isFocus && focus(this.list);
+    }, "onItemChange"),
+    onItemClick: /* @__PURE__ */ __name(function onItemClick2(event2) {
+      var processedItem = event2.processedItem;
+      var grouped = this.isProccessedItemGroup(processedItem);
+      var selected2 = this.isSelected(processedItem);
+      if (selected2) {
+        var index2 = processedItem.index, key = processedItem.key, level = processedItem.level, parentKey = processedItem.parentKey;
+        this.activeItemPath = this.activeItemPath.filter(function(p2) {
+          return key !== p2.key && key.startsWith(p2.key);
+        });
+        this.focusedItemInfo = {
+          index: index2,
+          level,
+          parentKey
+        };
+        focus(this.list);
+      } else {
+        grouped ? this.onItemChange(event2) : this.hide();
+      }
+    }, "onItemClick"),
+    onItemMouseEnter: /* @__PURE__ */ __name(function onItemMouseEnter2(event2) {
+      this.onItemChange(event2);
+    }, "onItemMouseEnter"),
+    onItemMouseMove: /* @__PURE__ */ __name(function onItemMouseMove2(event2) {
+      if (this.focused) {
+        this.changeFocusedItemIndex(event2, event2.processedItem.index);
+      }
+    }, "onItemMouseMove"),
+    onArrowDownKey: /* @__PURE__ */ __name(function onArrowDownKey4(event2) {
+      var itemIndex = this.focusedItemInfo.index !== -1 ? this.findNextItemIndex(this.focusedItemInfo.index) : this.findFirstFocusedItemIndex();
+      this.changeFocusedItemIndex(event2, itemIndex);
+      event2.preventDefault();
+    }, "onArrowDownKey"),
+    onArrowUpKey: /* @__PURE__ */ __name(function onArrowUpKey4(event2) {
+      if (event2.altKey) {
+        if (this.focusedItemInfo.index !== -1) {
+          var processedItem = this.visibleItems[this.focusedItemInfo.index];
+          var grouped = this.isProccessedItemGroup(processedItem);
+          !grouped && this.onItemChange({
+            originalEvent: event2,
+            processedItem
+          });
+        }
+        this.popup && this.hide();
+        event2.preventDefault();
+      } else {
+        var itemIndex = this.focusedItemInfo.index !== -1 ? this.findPrevItemIndex(this.focusedItemInfo.index) : this.findLastFocusedItemIndex();
+        this.changeFocusedItemIndex(event2, itemIndex);
+        event2.preventDefault();
+      }
+    }, "onArrowUpKey"),
+    onArrowLeftKey: /* @__PURE__ */ __name(function onArrowLeftKey4(event2) {
+      var _this = this;
+      var processedItem = this.visibleItems[this.focusedItemInfo.index];
+      var parentItem = this.activeItemPath.find(function(p2) {
+        return p2.key === processedItem.parentKey;
+      });
+      var root26 = isEmpty(processedItem.parent);
+      if (!root26) {
+        this.focusedItemInfo = {
+          index: -1,
+          parentKey: parentItem ? parentItem.parentKey : ""
+        };
+        this.searchValue = "";
+        this.onArrowDownKey(event2);
+      }
+      this.activeItemPath = this.activeItemPath.filter(function(p2) {
+        return p2.parentKey !== _this.focusedItemInfo.parentKey;
+      });
+      event2.preventDefault();
+    }, "onArrowLeftKey"),
+    onArrowRightKey: /* @__PURE__ */ __name(function onArrowRightKey2(event2) {
+      var processedItem = this.visibleItems[this.focusedItemInfo.index];
+      var grouped = this.isProccessedItemGroup(processedItem);
+      if (grouped) {
+        this.onItemChange({
+          originalEvent: event2,
+          processedItem
+        });
+        this.focusedItemInfo = {
+          index: -1,
+          parentKey: processedItem.key
+        };
+        this.searchValue = "";
+        this.onArrowDownKey(event2);
+      }
+      event2.preventDefault();
+    }, "onArrowRightKey"),
+    onHomeKey: /* @__PURE__ */ __name(function onHomeKey4(event2) {
+      this.changeFocusedItemIndex(event2, this.findFirstItemIndex());
+      event2.preventDefault();
+    }, "onHomeKey"),
+    onEndKey: /* @__PURE__ */ __name(function onEndKey4(event2) {
+      this.changeFocusedItemIndex(event2, this.findLastItemIndex());
+      event2.preventDefault();
+    }, "onEndKey"),
+    onEnterKey: /* @__PURE__ */ __name(function onEnterKey4(event2) {
+      if (this.focusedItemInfo.index !== -1) {
+        var element = findSingle(this.list, 'li[id="'.concat("".concat(this.focusedItemIdx), '"]'));
+        var anchorElement = element && findSingle(element, 'a[data-pc-section="itemlink"]');
+        anchorElement ? anchorElement.click() : element && element.click();
+        var processedItem = this.visibleItems[this.focusedItemInfo.index];
+        var grouped = this.isProccessedItemGroup(processedItem);
+        !grouped && (this.focusedItemInfo.index = this.findFirstFocusedItemIndex());
+      }
+      event2.preventDefault();
+    }, "onEnterKey"),
+    onSpaceKey: /* @__PURE__ */ __name(function onSpaceKey3(event2) {
+      this.onEnterKey(event2);
+    }, "onSpaceKey"),
+    onEscapeKey: /* @__PURE__ */ __name(function onEscapeKey3(event2) {
+      this.hide();
+      !this.popup && (this.focusedItemInfo.index = this.findFirstFocusedItemIndex());
+      event2.preventDefault();
+    }, "onEscapeKey"),
+    onTabKey: /* @__PURE__ */ __name(function onTabKey3(event2) {
+      if (this.focusedItemInfo.index !== -1) {
+        var processedItem = this.visibleItems[this.focusedItemInfo.index];
+        var grouped = this.isProccessedItemGroup(processedItem);
+        !grouped && this.onItemChange({
+          originalEvent: event2,
+          processedItem
+        });
+      }
+      this.hide();
+    }, "onTabKey"),
+    onEnter: /* @__PURE__ */ __name(function onEnter4(el) {
+      addStyle(el, {
+        position: "absolute"
+      });
+      this.position();
+      if (this.autoZIndex) {
+        ZIndex.set("menu", el, this.baseZIndex + this.$primevue.config.zIndex.menu);
+      }
+    }, "onEnter"),
+    onAfterEnter: /* @__PURE__ */ __name(function onAfterEnter2() {
+      this.bindOutsideClickListener();
+      this.bindResizeListener();
+      this.$emit("show");
+      focus(this.list);
+    }, "onAfterEnter"),
+    onLeave: /* @__PURE__ */ __name(function onLeave3() {
+      this.$emit("hide");
+      this.container = null;
+    }, "onLeave"),
+    onAfterLeave: /* @__PURE__ */ __name(function onAfterLeave3(el) {
+      if (this.autoZIndex) {
+        ZIndex.clear(el);
+      }
+      this.unbindOutsideClickListener();
+      this.unbindResizeListener();
+    }, "onAfterLeave"),
+    position: /* @__PURE__ */ __name(function position() {
+      var left = this.pageX + 1;
+      var top = this.pageY + 1;
+      var width2 = this.container.offsetParent ? this.container.offsetWidth : getHiddenElementOuterWidth(this.container);
+      var height = this.container.offsetParent ? this.container.offsetHeight : getHiddenElementOuterHeight(this.container);
+      var viewport = getViewport();
+      if (left + width2 - document.body.scrollLeft > viewport.width) {
+        left -= width2;
+      }
+      if (top + height - document.body.scrollTop > viewport.height) {
+        top -= height;
+      }
+      if (left < document.body.scrollLeft) {
+        left = document.body.scrollLeft;
+      }
+      if (top < document.body.scrollTop) {
+        top = document.body.scrollTop;
+      }
+      this.container.style.left = left + "px";
+      this.container.style.top = top + "px";
+    }, "position"),
+    bindOutsideClickListener: /* @__PURE__ */ __name(function bindOutsideClickListener4() {
+      var _this2 = this;
+      if (!this.outsideClickListener) {
+        this.outsideClickListener = function(event2) {
+          var isOutsideContainer = _this2.container && !_this2.container.contains(event2.target);
+          var isOutsideTarget = _this2.visible ? !(_this2.target && (_this2.target === event2.target || _this2.target.contains(event2.target))) : true;
+          if (isOutsideContainer && isOutsideTarget) {
+            _this2.hide();
+          }
+        };
+        document.addEventListener("click", this.outsideClickListener);
+      }
+    }, "bindOutsideClickListener"),
+    unbindOutsideClickListener: /* @__PURE__ */ __name(function unbindOutsideClickListener4() {
+      if (this.outsideClickListener) {
+        document.removeEventListener("click", this.outsideClickListener);
+        this.outsideClickListener = null;
+      }
+    }, "unbindOutsideClickListener"),
+    bindResizeListener: /* @__PURE__ */ __name(function bindResizeListener5() {
+      var _this3 = this;
+      if (!this.resizeListener) {
+        this.resizeListener = function() {
+          if (_this3.visible && !isTouchDevice()) {
+            _this3.hide();
+          }
+        };
+        window.addEventListener("resize", this.resizeListener);
+      }
+    }, "bindResizeListener"),
+    unbindResizeListener: /* @__PURE__ */ __name(function unbindResizeListener5() {
+      if (this.resizeListener) {
+        window.removeEventListener("resize", this.resizeListener);
+        this.resizeListener = null;
+      }
+    }, "unbindResizeListener"),
+    bindDocumentContextMenuListener: /* @__PURE__ */ __name(function bindDocumentContextMenuListener() {
+      var _this4 = this;
+      if (!this.documentContextMenuListener) {
+        this.documentContextMenuListener = function(event2) {
+          event2.button === 2 && _this4.show(event2);
+        };
+        document.addEventListener("contextmenu", this.documentContextMenuListener);
+      }
+    }, "bindDocumentContextMenuListener"),
+    unbindDocumentContextMenuListener: /* @__PURE__ */ __name(function unbindDocumentContextMenuListener() {
+      if (this.documentContextMenuListener) {
+        document.removeEventListener("contextmenu", this.documentContextMenuListener);
+        this.documentContextMenuListener = null;
+      }
+    }, "unbindDocumentContextMenuListener"),
+    isItemMatched: /* @__PURE__ */ __name(function isItemMatched(processedItem) {
+      var _this$getProccessedIt;
+      return this.isValidItem(processedItem) && ((_this$getProccessedIt = this.getProccessedItemLabel(processedItem)) === null || _this$getProccessedIt === void 0 ? void 0 : _this$getProccessedIt.toLocaleLowerCase().startsWith(this.searchValue.toLocaleLowerCase()));
+    }, "isItemMatched"),
+    isValidItem: /* @__PURE__ */ __name(function isValidItem(processedItem) {
+      return !!processedItem && !this.isItemDisabled(processedItem.item) && !this.isItemSeparator(processedItem.item) && this.isItemVisible(processedItem.item);
+    }, "isValidItem"),
+    isValidSelectedItem: /* @__PURE__ */ __name(function isValidSelectedItem(processedItem) {
+      return this.isValidItem(processedItem) && this.isSelected(processedItem);
+    }, "isValidSelectedItem"),
+    isSelected: /* @__PURE__ */ __name(function isSelected5(processedItem) {
+      return this.activeItemPath.some(function(p2) {
+        return p2.key === processedItem.key;
+      });
+    }, "isSelected"),
+    findFirstItemIndex: /* @__PURE__ */ __name(function findFirstItemIndex() {
+      var _this5 = this;
+      return this.visibleItems.findIndex(function(processedItem) {
+        return _this5.isValidItem(processedItem);
+      });
+    }, "findFirstItemIndex"),
+    findLastItemIndex: /* @__PURE__ */ __name(function findLastItemIndex() {
+      var _this6 = this;
+      return findLastIndex(this.visibleItems, function(processedItem) {
+        return _this6.isValidItem(processedItem);
+      });
+    }, "findLastItemIndex"),
+    findNextItemIndex: /* @__PURE__ */ __name(function findNextItemIndex(index2) {
+      var _this7 = this;
+      var matchedItemIndex = index2 < this.visibleItems.length - 1 ? this.visibleItems.slice(index2 + 1).findIndex(function(processedItem) {
+        return _this7.isValidItem(processedItem);
+      }) : -1;
+      return matchedItemIndex > -1 ? matchedItemIndex + index2 + 1 : index2;
+    }, "findNextItemIndex"),
+    findPrevItemIndex: /* @__PURE__ */ __name(function findPrevItemIndex(index2) {
+      var _this8 = this;
+      var matchedItemIndex = index2 > 0 ? findLastIndex(this.visibleItems.slice(0, index2), function(processedItem) {
+        return _this8.isValidItem(processedItem);
+      }) : -1;
+      return matchedItemIndex > -1 ? matchedItemIndex : index2;
+    }, "findPrevItemIndex"),
+    findSelectedItemIndex: /* @__PURE__ */ __name(function findSelectedItemIndex() {
+      var _this9 = this;
+      return this.visibleItems.findIndex(function(processedItem) {
+        return _this9.isValidSelectedItem(processedItem);
+      });
+    }, "findSelectedItemIndex"),
+    findFirstFocusedItemIndex: /* @__PURE__ */ __name(function findFirstFocusedItemIndex() {
+      var selectedIndex = this.findSelectedItemIndex();
+      return selectedIndex < 0 ? this.findFirstItemIndex() : selectedIndex;
+    }, "findFirstFocusedItemIndex"),
+    findLastFocusedItemIndex: /* @__PURE__ */ __name(function findLastFocusedItemIndex() {
+      var selectedIndex = this.findSelectedItemIndex();
+      return selectedIndex < 0 ? this.findLastItemIndex() : selectedIndex;
+    }, "findLastFocusedItemIndex"),
+    searchItems: /* @__PURE__ */ __name(function searchItems(event2, _char) {
+      var _this10 = this;
+      this.searchValue = (this.searchValue || "") + _char;
+      var itemIndex = -1;
+      var matched = false;
+      if (this.focusedItemInfo.index !== -1) {
+        itemIndex = this.visibleItems.slice(this.focusedItemInfo.index).findIndex(function(processedItem) {
+          return _this10.isItemMatched(processedItem);
+        });
+        itemIndex = itemIndex === -1 ? this.visibleItems.slice(0, this.focusedItemInfo.index).findIndex(function(processedItem) {
+          return _this10.isItemMatched(processedItem);
+        }) : itemIndex + this.focusedItemInfo.index;
+      } else {
+        itemIndex = this.visibleItems.findIndex(function(processedItem) {
+          return _this10.isItemMatched(processedItem);
+        });
+      }
+      if (itemIndex !== -1) {
+        matched = true;
+      }
+      if (itemIndex === -1 && this.focusedItemInfo.index === -1) {
+        itemIndex = this.findFirstFocusedItemIndex();
+      }
+      if (itemIndex !== -1) {
+        this.changeFocusedItemIndex(event2, itemIndex);
+      }
+      if (this.searchTimeout) {
+        clearTimeout(this.searchTimeout);
+      }
+      this.searchTimeout = setTimeout(function() {
+        _this10.searchValue = "";
+        _this10.searchTimeout = null;
+      }, 500);
+      return matched;
+    }, "searchItems"),
+    changeFocusedItemIndex: /* @__PURE__ */ __name(function changeFocusedItemIndex(event2, index2) {
+      if (this.focusedItemInfo.index !== index2) {
+        this.focusedItemInfo.index = index2;
+        this.scrollInView();
+      }
+    }, "changeFocusedItemIndex"),
+    scrollInView: /* @__PURE__ */ __name(function scrollInView6() {
+      var index2 = arguments.length > 0 && arguments[0] !== void 0 ? arguments[0] : -1;
+      var id2 = index2 !== -1 ? "".concat(this.id, "_").concat(index2) : this.focusedItemIdx;
+      var element = findSingle(this.list, 'li[id="'.concat(id2, '"]'));
+      if (element) {
+        element.scrollIntoView && element.scrollIntoView({
+          block: "nearest",
+          inline: "start"
+        });
+      }
+    }, "scrollInView"),
+    createProcessedItems: /* @__PURE__ */ __name(function createProcessedItems(items2) {
+      var _this11 = this;
+      var level = arguments.length > 1 && arguments[1] !== void 0 ? arguments[1] : 0;
+      var parent = arguments.length > 2 && arguments[2] !== void 0 ? arguments[2] : {};
+      var parentKey = arguments.length > 3 && arguments[3] !== void 0 ? arguments[3] : "";
+      var processedItems2 = [];
+      items2 && items2.forEach(function(item2, index2) {
+        var key = (parentKey !== "" ? parentKey + "_" : "") + index2;
+        var newItem = {
+          item: item2,
+          index: index2,
+          level,
+          key,
+          parent,
+          parentKey
+        };
+        newItem["items"] = _this11.createProcessedItems(item2.items, level + 1, newItem, key);
+        processedItems2.push(newItem);
+      });
+      return processedItems2;
+    }, "createProcessedItems"),
+    containerRef: /* @__PURE__ */ __name(function containerRef3(el) {
+      this.container = el;
+    }, "containerRef"),
+    listRef: /* @__PURE__ */ __name(function listRef4(el) {
+      this.list = el ? el.$el : void 0;
+    }, "listRef")
+  },
+  computed: {
+    processedItems: /* @__PURE__ */ __name(function processedItems() {
+      return this.createProcessedItems(this.model || []);
+    }, "processedItems"),
+    visibleItems: /* @__PURE__ */ __name(function visibleItems() {
+      var _this12 = this;
+      var processedItem = this.activeItemPath.find(function(p2) {
+        return p2.key === _this12.focusedItemInfo.parentKey;
+      });
+      return processedItem ? processedItem.items : this.processedItems;
+    }, "visibleItems"),
+    focusedItemIdx: /* @__PURE__ */ __name(function focusedItemIdx() {
+      return this.focusedItemInfo.index !== -1 ? "".concat(this.id).concat(isNotEmpty(this.focusedItemInfo.parentKey) ? "_" + this.focusedItemInfo.parentKey : "", "_").concat(this.focusedItemInfo.index) : null;
+    }, "focusedItemIdx")
+  },
+  components: {
+    ContextMenuSub: script$1$7,
+    Portal: script$z
+  }
+};
+function render$e(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_ContextMenuSub = resolveComponent("ContextMenuSub");
+  var _component_Portal = resolveComponent("Portal");
+  return openBlock(), createBlock(_component_Portal, {
+    appendTo: _ctx.appendTo
+  }, {
+    "default": withCtx(function() {
+      return [createVNode(Transition, mergeProps({
+        name: "p-contextmenu",
+        onEnter: $options.onEnter,
+        onAfterEnter: $options.onAfterEnter,
+        onLeave: $options.onLeave,
+        onAfterLeave: $options.onAfterLeave
+      }, _ctx.ptm("transition")), {
+        "default": withCtx(function() {
+          return [$data.visible ? (openBlock(), createElementBlock("div", mergeProps({
+            key: 0,
+            ref: $options.containerRef,
+            "class": _ctx.cx("root")
+          }, _ctx.ptmi("root")), [createVNode(_component_ContextMenuSub, {
+            ref: $options.listRef,
+            id: $data.id + "_list",
+            "class": normalizeClass(_ctx.cx("rootList")),
+            role: "menubar",
+            root: true,
+            tabindex: _ctx.tabindex,
+            "aria-orientation": "vertical",
+            "aria-activedescendant": $data.focused ? $options.focusedItemIdx : void 0,
+            menuId: $data.id,
+            focusedItemId: $data.focused ? $options.focusedItemIdx : void 0,
+            items: $options.processedItems,
+            templates: _ctx.$slots,
+            activeItemPath: $data.activeItemPath,
+            "aria-labelledby": _ctx.ariaLabelledby,
+            "aria-label": _ctx.ariaLabel,
+            level: 0,
+            visible: $data.submenuVisible,
+            pt: _ctx.pt,
+            unstyled: _ctx.unstyled,
+            onFocus: $options.onFocus,
+            onBlur: $options.onBlur,
+            onKeydown: $options.onKeyDown,
+            onItemClick: $options.onItemClick,
+            onItemMouseenter: $options.onItemMouseEnter,
+            onItemMousemove: $options.onItemMouseMove
+          }, null, 8, ["id", "class", "tabindex", "aria-activedescendant", "menuId", "focusedItemId", "items", "templates", "activeItemPath", "aria-labelledby", "aria-label", "visible", "pt", "unstyled", "onFocus", "onBlur", "onKeydown", "onItemClick", "onItemMouseenter", "onItemMousemove"])], 16)) : createCommentVNode("", true)];
+        }),
+        _: 1
+      }, 16, ["onEnter", "onAfterEnter", "onLeave", "onAfterLeave"])];
+    }),
+    _: 1
+  }, 8, ["appendTo"]);
+}
+__name(render$e, "render$e");
+script$f.render = render$e;
+const _withScopeId$7 = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-9bc23daf"), n = n(), popScopeId(), n), "_withScopeId$7");
+const _hoisted_1$l = ["src", "data-test"];
+const _hoisted_2$f = ["src"];
+const _hoisted_3$7 = {
+  key: 1,
+  class: "broken-image-placeholder"
+};
+const _hoisted_4$4 = /* @__PURE__ */ _withScopeId$7(() => /* @__PURE__ */ createBaseVNode("i", { class: "pi pi-image" }, null, -1));
+const _sfc_main$c = /* @__PURE__ */ defineComponent({
+  __name: "ComfyImage",
+  props: {
+    src: {},
+    class: {},
+    contain: { type: Boolean, default: false }
+  },
+  setup(__props) {
+    const props = __props;
+    const imageBroken = ref(false);
+    const handleImageError = /* @__PURE__ */ __name((e) => {
+      imageBroken.value = true;
+    }, "handleImageError");
+    const classArray = computed(() => {
+      if (Array.isArray(props.class)) {
+        return props.class;
+      } else if (typeof props.class === "string") {
+        return props.class.split(" ");
+      } else if (typeof props.class === "object") {
+        return Object.keys(props.class).filter((key) => props.class[key]);
+      }
+      return [];
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock(Fragment, null, [
+        !imageBroken.value ? (openBlock(), createElementBlock("span", {
+          key: 0,
+          class: normalizeClass(["comfy-image-wrap", [{ contain: _ctx.contain }]])
+        }, [
+          _ctx.contain ? (openBlock(), createElementBlock("img", {
+            key: 0,
+            src: _ctx.src,
+            onError: handleImageError,
+            "data-test": _ctx.src,
+            class: "comfy-image-blur",
+            style: normalizeStyle({ "background-image": `url(${_ctx.src})` })
+          }, null, 44, _hoisted_1$l)) : createCommentVNode("", true),
+          createBaseVNode("img", {
+            src: _ctx.src,
+            onError: handleImageError,
+            class: normalizeClass(["comfy-image-main", [...classArray.value]])
+          }, null, 42, _hoisted_2$f)
+        ], 2)) : createCommentVNode("", true),
+        imageBroken.value ? (openBlock(), createElementBlock("div", _hoisted_3$7, [
+          _hoisted_4$4,
+          createBaseVNode("span", null, toDisplayString$1(_ctx.$t("imageFailedToLoad")), 1)
+        ])) : createCommentVNode("", true)
+      ], 64);
+    };
+  }
+});
+const ComfyImage = /* @__PURE__ */ _export_sfc(_sfc_main$c, [["__scopeId", "data-v-9bc23daf"]]);
+const _withScopeId$6 = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-d9c060ae"), n = n(), popScopeId(), n), "_withScopeId$6");
+const _hoisted_1$k = { class: "image-preview-mask" };
+const _hoisted_2$e = {
+  key: 1,
+  class: "task-result-preview"
+};
+const _hoisted_3$6 = /* @__PURE__ */ _withScopeId$6(() => /* @__PURE__ */ createBaseVNode("i", { class: "pi pi-file" }, null, -1));
+const _sfc_main$b = /* @__PURE__ */ defineComponent({
+  __name: "ResultItem",
+  props: {
+    result: {}
+  },
+  emits: ["preview"],
+  setup(__props, { emit: __emit }) {
+    const props = __props;
+    const emit2 = __emit;
+    const resultContainer = ref(null);
+    const settingStore = useSettingStore();
+    const imageFit = computed(
+      () => settingStore.get("Comfy.Queue.ImageFit")
+    );
+    onMounted(() => {
+      if (props.result.mediaType === "images") {
+        resultContainer.value?.querySelectorAll("img").forEach((img) => {
+          img.draggable = true;
+        });
+      }
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", {
+        class: "result-container",
+        ref_key: "resultContainer",
+        ref: resultContainer
+      }, [
+        _ctx.result.mediaType === "images" || _ctx.result.mediaType === "gifs" ? (openBlock(), createElementBlock(Fragment, { key: 0 }, [
+          createVNode(ComfyImage, {
+            src: _ctx.result.url,
+            class: "task-output-image",
+            contain: imageFit.value === "contain"
+          }, null, 8, ["src", "contain"]),
+          createBaseVNode("div", _hoisted_1$k, [
+            createVNode(unref(script$J), {
+              icon: "pi pi-eye",
+              severity: "secondary",
+              onClick: _cache[0] || (_cache[0] = ($event) => emit2("preview", _ctx.result)),
+              rounded: ""
+            })
+          ])
+        ], 64)) : (openBlock(), createElementBlock("div", _hoisted_2$e, [
+          _hoisted_3$6,
+          createBaseVNode("span", null, toDisplayString$1(_ctx.result.mediaType), 1)
+        ]))
+      ], 512);
+    };
+  }
+});
+const ResultItem = /* @__PURE__ */ _export_sfc(_sfc_main$b, [["__scopeId", "data-v-d9c060ae"]]);
+var TaskItemDisplayStatus = /* @__PURE__ */ ((TaskItemDisplayStatus2) => {
+  TaskItemDisplayStatus2["Running"] = "Running";
+  TaskItemDisplayStatus2["Pending"] = "Pending";
+  TaskItemDisplayStatus2["Completed"] = "Completed";
+  TaskItemDisplayStatus2["Failed"] = "Failed";
+  TaskItemDisplayStatus2["Cancelled"] = "Cancelled";
+  return TaskItemDisplayStatus2;
+})(TaskItemDisplayStatus || {});
+class ResultItemImpl {
+  static {
+    __name(this, "ResultItemImpl");
+  }
+  filename;
+  subfolder;
+  type;
+  nodeId;
+  // 'audio' | 'images' | ...
+  mediaType;
+  get url() {
+    return api.apiURL(`/view?filename=${encodeURIComponent(this.filename)}&type=${this.type}&
+					subfolder=${encodeURIComponent(this.subfolder || "")}`);
+  }
+  get urlWithTimestamp() {
+    return `${this.url}&t=${+/* @__PURE__ */ new Date()}`;
+  }
+  get supportsPreview() {
+    return ["images", "gifs"].includes(this.mediaType);
+  }
+}
+class TaskItemImpl {
+  static {
+    __name(this, "TaskItemImpl");
+  }
+  taskType;
+  prompt;
+  status;
+  outputs;
+  flatOutputs;
+  constructor(taskType, prompt2, status, outputs, flatOutputs) {
+    this.taskType = taskType;
+    this.prompt = prompt2;
+    this.status = status;
+    this.outputs = outputs;
+    this.flatOutputs = flatOutputs ?? this.calculateFlatOutputs();
+  }
+  calculateFlatOutputs() {
+    if (!this.outputs) {
+      return [];
+    }
+    return Object.entries(this.outputs).flatMap(
+      ([nodeId, nodeOutputs]) => Object.entries(nodeOutputs).flatMap(
+        ([mediaType, items2]) => items2.map(
+          (item2) => plainToClass(ResultItemImpl, {
+            ...item2,
+            nodeId,
+            mediaType
+          })
+        )
+      )
+    );
+  }
+  get previewOutput() {
+    return this.flatOutputs.find(
+      // Prefer saved media files over the temp previews
+      (output) => output.type === "output" && output.supportsPreview
+    ) ?? this.flatOutputs.find((output) => output.supportsPreview);
+  }
+  get apiTaskType() {
+    switch (this.taskType) {
+      case "Running":
+      case "Pending":
+        return "queue";
+      case "History":
+        return "history";
+    }
+  }
+  get key() {
+    return this.promptId + this.displayStatus;
+  }
+  get queueIndex() {
+    return this.prompt[0];
+  }
+  get promptId() {
+    return this.prompt[1];
+  }
+  get promptInputs() {
+    return this.prompt[2];
+  }
+  get extraData() {
+    return this.prompt[3];
+  }
+  get outputsToExecute() {
+    return this.prompt[4];
+  }
+  get extraPngInfo() {
+    return this.extraData.extra_pnginfo;
+  }
+  get clientId() {
+    return this.extraData.client_id;
+  }
+  get workflow() {
+    return this.extraPngInfo.workflow;
+  }
+  get messages() {
+    return this.status?.messages || [];
+  }
+  get interrupted() {
+    return _.some(
+      this.messages,
+      (message3) => message3[0] === "execution_interrupted"
+    );
+  }
+  get isHistory() {
+    return this.taskType === "History";
+  }
+  get isRunning() {
+    return this.taskType === "Running";
+  }
+  get displayStatus() {
+    switch (this.taskType) {
+      case "Running":
+        return "Running";
+      case "Pending":
+        return "Pending";
+      case "History":
+        if (this.interrupted) return "Cancelled";
+        switch (this.status.status_str) {
+          case "success":
+            return "Completed";
+          case "error":
+            return "Failed";
+        }
+    }
+  }
+  get executionStartTimestamp() {
+    const message3 = this.messages.find(
+      (message22) => message22[0] === "execution_start"
+    );
+    return message3 ? message3[1].timestamp : void 0;
+  }
+  get executionEndTimestamp() {
+    const messages2 = this.messages.filter(
+      (message3) => [
+        "execution_success",
+        "execution_interrupted",
+        "execution_error"
+      ].includes(message3[0])
+    );
+    if (!messages2.length) {
+      return void 0;
+    }
+    return _.max(messages2.map((message3) => message3[1].timestamp));
+  }
+  get executionTime() {
+    if (!this.executionStartTimestamp || !this.executionEndTimestamp) {
+      return void 0;
+    }
+    return this.executionEndTimestamp - this.executionStartTimestamp;
+  }
+  get executionTimeInSeconds() {
+    return this.executionTime !== void 0 ? this.executionTime / 1e3 : void 0;
+  }
+  async loadWorkflow() {
+    await app$1.loadGraphData(toRaw(this.workflow));
+    if (this.outputs) {
+      app$1.nodeOutputs = toRaw(this.outputs);
+    }
+  }
+  flatten() {
+    if (this.displayStatus !== "Completed") {
+      return [this];
+    }
+    return this.flatOutputs.map(
+      (output, i2) => new TaskItemImpl(
+        this.taskType,
+        [
+          this.queueIndex,
+          `${this.promptId}-${i2}`,
+          this.promptInputs,
+          this.extraData,
+          this.outputsToExecute
+        ],
+        this.status,
+        {
+          [output.nodeId]: {
+            [output.mediaType]: [output]
+          }
+        },
+        [output]
+      )
+    );
+  }
+}
+const useQueueStore = defineStore("queue", {
+  state: /* @__PURE__ */ __name(() => ({
+    runningTasks: [],
+    pendingTasks: [],
+    historyTasks: [],
+    maxHistoryItems: 64,
+    isLoading: false
+  }), "state"),
+  getters: {
+    tasks(state) {
+      return [
+        ...state.pendingTasks,
+        ...state.runningTasks,
+        ...state.historyTasks
+      ];
+    },
+    flatTasks() {
+      return this.tasks.flatMap((task) => task.flatten());
+    },
+    lastHistoryQueueIndex(state) {
+      return state.historyTasks.length ? state.historyTasks[0].queueIndex : -1;
+    }
+  },
+  actions: {
+    // Fetch the queue data from the API
+    async update() {
+      this.isLoading = true;
+      try {
+        const [queue2, history] = await Promise.all([
+          api.getQueue(),
+          api.getHistory(this.maxHistoryItems)
+        ]);
+        const toClassAll = /* @__PURE__ */ __name((tasks) => tasks.map(
+          (task) => new TaskItemImpl(
+            task.taskType,
+            task.prompt,
+            task["status"],
+            task["outputs"] || {}
+          )
+        ).sort((a, b) => b.queueIndex - a.queueIndex), "toClassAll");
+        this.runningTasks = toClassAll(queue2.Running);
+        this.pendingTasks = toClassAll(queue2.Pending);
+        const allIndex = new Set(
+          history.History.map((item2) => item2.prompt[0])
+        );
+        const newHistoryItems = toClassAll(
+          history.History.filter(
+            (item2) => item2.prompt[0] > this.lastHistoryQueueIndex
+          )
+        );
+        const existingHistoryItems = this.historyTasks.filter(
+          (item2) => allIndex.has(item2.queueIndex)
+        );
+        this.historyTasks = [...newHistoryItems, ...existingHistoryItems].slice(0, this.maxHistoryItems).sort((a, b) => b.queueIndex - a.queueIndex);
+      } finally {
+        this.isLoading = false;
+      }
+    },
+    async clear() {
+      await Promise.all(
+        ["queue", "history"].map((type) => api.clearItems(type))
+      );
+      await this.update();
+    },
+    async delete(task) {
+      await api.deleteItem(task.apiTaskType, task.promptId);
+      await this.update();
+    }
+  }
+});
+const useQueuePendingTaskCountStore = defineStore(
+  "queuePendingTaskCount",
+  {
+    state: /* @__PURE__ */ __name(() => ({
+      count: 0
+    }), "state"),
+    actions: {
+      update(e) {
+        this.count = e.detail?.exec_info?.queue_remaining || 0;
+      }
+    }
+  }
+);
+const _withScopeId$5 = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-11ef4cfe"), n = n(), popScopeId(), n), "_withScopeId$5");
+const _hoisted_1$j = { class: "task-result-preview" };
+const _hoisted_2$d = {
+  key: 1,
+  class: "pi pi-spin pi-spinner"
+};
+const _hoisted_3$5 = { key: 2 };
+const _hoisted_4$3 = {
+  key: 3,
+  class: "pi pi-exclamation-triangle"
+};
+const _hoisted_5$2 = {
+  key: 4,
+  class: "pi pi-exclamation-circle"
+};
+const _hoisted_6$1 = { class: "task-item-details" };
+const _hoisted_7$1 = { class: "tag-wrapper status-tag-group" };
+const _hoisted_8 = ["innerHTML"];
+const _hoisted_9 = {
+  key: 0,
+  class: "task-time"
+};
+const _hoisted_10 = {
+  key: 1,
+  class: "task-prompt-id"
+};
+const _hoisted_11 = { class: "tag-wrapper" };
+const _hoisted_12 = { style: { "font-weight": "bold" } };
+const _sfc_main$a = /* @__PURE__ */ defineComponent({
+  __name: "TaskItem",
+  props: {
+    task: {},
+    isFlatTask: { type: Boolean }
+  },
+  emits: ["contextmenu", "preview", "task-output-length-clicked"],
+  setup(__props, { emit: __emit }) {
+    const props = __props;
+    const flatOutputs = props.task.flatOutputs;
+    const coverResult = flatOutputs.length ? props.task.previewOutput || flatOutputs[0] : null;
+    const node3 = flatOutputs.length ? props.task.workflow.nodes.find(
+      (n) => n.id == coverResult.nodeId
+    ) ?? null : null;
+    const emit2 = __emit;
+    const handleContextMenu = /* @__PURE__ */ __name((e) => {
+      emit2("contextmenu", { task: props.task, event: e, node: node3 });
+    }, "handleContextMenu");
+    const handlePreview = /* @__PURE__ */ __name(() => {
+      emit2("preview", props.task);
+    }, "handlePreview");
+    const handleOutputLengthClick = /* @__PURE__ */ __name(() => {
+      emit2("task-output-length-clicked", props.task);
+    }, "handleOutputLengthClick");
+    const taskTagSeverity = /* @__PURE__ */ __name((status) => {
+      switch (status) {
+        case TaskItemDisplayStatus.Pending:
+          return "secondary";
+        case TaskItemDisplayStatus.Running:
+          return "info";
+        case TaskItemDisplayStatus.Completed:
+          return "success";
+        case TaskItemDisplayStatus.Failed:
+          return "danger";
+        case TaskItemDisplayStatus.Cancelled:
+          return "warn";
+      }
+    }, "taskTagSeverity");
+    const taskStatusText = /* @__PURE__ */ __name((status) => {
+      switch (status) {
+        case TaskItemDisplayStatus.Pending:
+          return "Pending";
+        case TaskItemDisplayStatus.Running:
+          return "Running";
+        case TaskItemDisplayStatus.Completed:
+          return '<i class="pi pi-check" style="font-weight: bold"></i>';
+        case TaskItemDisplayStatus.Failed:
+          return "Failed";
+        case TaskItemDisplayStatus.Cancelled:
+          return "Cancelled";
+      }
+    }, "taskStatusText");
+    const formatTime = /* @__PURE__ */ __name((time) => {
+      if (time === void 0) {
+        return "";
+      }
+      return `${time.toFixed(2)}s`;
+    }, "formatTime");
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", {
+        class: "task-item",
+        onContextmenu: handleContextMenu
+      }, [
+        createBaseVNode("div", _hoisted_1$j, [
+          _ctx.task.displayStatus === unref(TaskItemDisplayStatus).Completed ? (openBlock(), createElementBlock(Fragment, { key: 0 }, [
+            unref(flatOutputs).length ? (openBlock(), createBlock(ResultItem, {
+              key: 0,
+              result: unref(coverResult),
+              onPreview: handlePreview
+            }, null, 8, ["result"])) : createCommentVNode("", true)
+          ], 64)) : _ctx.task.displayStatus === unref(TaskItemDisplayStatus).Running ? (openBlock(), createElementBlock("i", _hoisted_2$d)) : _ctx.task.displayStatus === unref(TaskItemDisplayStatus).Pending ? (openBlock(), createElementBlock("span", _hoisted_3$5, "...")) : _ctx.task.displayStatus === unref(TaskItemDisplayStatus).Cancelled ? (openBlock(), createElementBlock("i", _hoisted_4$3)) : _ctx.task.displayStatus === unref(TaskItemDisplayStatus).Failed ? (openBlock(), createElementBlock("i", _hoisted_5$2)) : createCommentVNode("", true)
+        ]),
+        createBaseVNode("div", _hoisted_6$1, [
+          createBaseVNode("div", _hoisted_7$1, [
+            _ctx.isFlatTask && _ctx.task.isHistory ? (openBlock(), createBlock(unref(script$w), {
+              key: 0,
+              class: "node-name-tag"
+            }, {
+              default: withCtx(() => [
+                createVNode(unref(script$J), {
+                  class: "task-node-link",
+                  label: `${unref(node3)?.type} (#${unref(node3)?.id})`,
+                  link: "",
+                  size: "small",
+                  onClick: _cache[0] || (_cache[0] = ($event) => unref(app$1).goToNode(unref(node3)?.id))
+                }, null, 8, ["label"])
+              ]),
+              _: 1
+            })) : createCommentVNode("", true),
+            createVNode(unref(script$w), {
+              severity: taskTagSeverity(_ctx.task.displayStatus)
+            }, {
+              default: withCtx(() => [
+                createBaseVNode("span", {
+                  innerHTML: taskStatusText(_ctx.task.displayStatus)
+                }, null, 8, _hoisted_8),
+                _ctx.task.isHistory ? (openBlock(), createElementBlock("span", _hoisted_9, toDisplayString$1(formatTime(_ctx.task.executionTimeInSeconds)), 1)) : createCommentVNode("", true),
+                _ctx.isFlatTask ? (openBlock(), createElementBlock("span", _hoisted_10, toDisplayString$1(_ctx.task.promptId.split("-")[0]), 1)) : createCommentVNode("", true)
+              ]),
+              _: 1
+            }, 8, ["severity"])
+          ]),
+          createBaseVNode("div", _hoisted_11, [
+            _ctx.task.isHistory && unref(flatOutputs).length > 1 ? (openBlock(), createBlock(unref(script$J), {
+              key: 0,
+              outlined: "",
+              onClick: handleOutputLengthClick
+            }, {
+              default: withCtx(() => [
+                createBaseVNode("span", _hoisted_12, toDisplayString$1(unref(flatOutputs).length), 1)
+              ]),
+              _: 1
+            })) : createCommentVNode("", true)
+          ])
+        ])
+      ], 32);
+    };
+  }
+});
+const TaskItem = /* @__PURE__ */ _export_sfc(_sfc_main$a, [["__scopeId", "data-v-11ef4cfe"]]);
+var theme$6 = /* @__PURE__ */ __name(function theme31(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-galleria {\n    overflow: hidden;\n    border-style: solid;\n    border-width: ".concat(dt3("galleria.border.width"), ";\n    border-color: ").concat(dt3("galleria.border.color"), ";\n    border-radius: ").concat(dt3("galleria.border.radius"), ";\n}\n\n.p-galleria-content {\n    display: flex;\n    flex-direction: column;\n}\n\n.p-galleria-items-container {\n    display: flex;\n    flex-direction: column;\n    position: relative;\n}\n\n.p-galleria-items {\n    position: relative;\n    display: flex;\n    height: 100%;\n}\n\n.p-galleria-nav-button {\n    position: absolute;\n    top: 50%;\n    display: inline-flex;\n    justify-content: center;\n    align-items: center;\n    overflow: hidden;\n    background: ").concat(dt3("galleria.nav.button.background"), ";\n    color: ").concat(dt3("galleria.nav.button.color"), ";\n    width: ").concat(dt3("galleria.nav.button.size"), ";\n    height: ").concat(dt3("galleria.nav.button.size"), ";\n    transition: background ").concat(dt3("galleria.transition.duration"), ", color ").concat(dt3("galleria.transition.duration"), ", outline-color ").concat(dt3("galleria.transition.duration"), ", box-shadow ").concat(dt3("galleria.transition.duration"), ";\n    margin: calc(-1 * calc(").concat(dt3("galleria.nav.button.size"), ") / 2) ").concat(dt3("galleria.nav.button.gutter"), " 0 ").concat(dt3("galleria.nav.button.gutter"), ";\n    padding: 0;\n    user-select: none;\n    border: 0 none;\n    cursor: pointer;\n    outline-color: transparent;\n}\n\n.p-galleria-nav-button:not(.p-disabled):hover {\n    background: ").concat(dt3("galleria.nav.button.hover.background"), ";\n    color: ").concat(dt3("galleria.nav.button.hover.color"), ";\n}\n\n.p-galleria-nav-button:not(.p-disabled):focus-visible {\n    box-shadow: ").concat(dt3("galleria.nav.button.focus.ring.shadow"), ";\n    outline: ").concat(dt3("galleria.nav.button.focus.ring.width"), " ").concat(dt3("galleria.nav.button.focus.ring.style"), " ").concat(dt3("galleria.nav.button.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("galleria.nav.button.focus.ring.offset"), ";\n}\n\n.p-galleria-next-icon,\n.p-galleria-prev-icon {\n    font-size: ").concat(dt3("galleria.nav.icon.size"), ";\n    width: ").concat(dt3("galleria.nav.icon.size"), ";\n    height: ").concat(dt3("galleria.nav.icon.size"), ";\n}\n\n.p-galleria-prev-button {\n    border-radius: ").concat(dt3("galleria.nav.button.prev.border.radius"), ";\n    left: 0;\n}\n\n.p-galleria-next-button {\n    border-radius: ").concat(dt3("galleria.nav.button.next.border.radius"), ";\n    right: 0;\n}\n\n.p-galleria-item {\n    display: flex;\n    justify-content: center;\n    align-items: center;\n    height: 100%;\n    width: 100%;\n}\n\n.p-galleria-hover-navigators .p-galleria-nav-button {\n    pointer-events: none;\n    opacity: 0;\n    transition: opacity ").concat(dt3("galleria.transition.duration"), " ease-in-out;\n}\n\n.p-galleria-hover-navigators .p-galleria-items-container:hover .p-galleria-nav-button {\n    pointer-events: all;\n    opacity: 1;\n}\n\n.p-galleria-hover-navigators .p-galleria-items-container:hover .p-galleria-nav-button.p-disabled {\n    pointer-events: none;\n}\n\n.p-galleria-caption {\n    position: absolute;\n    bottom: 0;\n    left: 0;\n    width: 100%;\n    background: ").concat(dt3("galleria.caption.background"), ";\n    color: ").concat(dt3("galleria.caption.color"), ";\n    padding: ").concat(dt3("galleria.caption.padding"), ";\n}\n\n.p-galleria-thumbnails {\n    display: flex;\n    flex-direction: column;\n    overflow: auto;\n    flex-shrink: 0;\n}\n\n.p-galleria-thumbnail-nav-button {\n    align-self: center;\n    flex: 0 0 auto;\n    display: flex;\n    justify-content: center;\n    align-items: center;\n    overflow: hidden;\n    position: relative;\n    margin: 0 ").concat(dt3("galleria.thumbnail.nav.button.gutter"), ";\n    padding: 0;\n    border: none;\n    user-select: none;\n    cursor: pointer;\n    background: transparent;\n    color: ").concat(dt3("galleria.thumbnail.nav.button.color"), ";\n    width: ").concat(dt3("galleria.thumbnail.nav.button.size"), ";\n    height: ").concat(dt3("galleria.thumbnail.nav.button.size"), ";\n    transition: background ").concat(dt3("galleria.transition.duration"), ", color ").concat(dt3("galleria.transition.duration"), ", outline-color ").concat(dt3("galleria.transition.duration"), ";\n    outline-color: transparent;\n    border-radius: ").concat(dt3("galleria.thumbnail.nav.button.border.radius"), ";\n}\n\n.p-galleria-thumbnail-nav-button:hover {\n    background: ").concat(dt3("galleria.thumbnail.nav.button.hover.background"), ";\n    color: ").concat(dt3("galleria.thumbnail.nav.button.hover.color"), ";\n}\n\n.p-galleria-thumbnail-nav-button:focus-visible {\n    box-shadow: ").concat(dt3("galleria.thumbnail.nav.button.focus.ring.shadow"), ";\n    outline: ").concat(dt3("galleria.thumbnail.nav.button.focus.ring.width"), " ").concat(dt3("galleria.thumbnail.nav.button.focus.ring.style"), " ").concat(dt3("galleria.thumbnail.nav.button.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("galleria.thumbnail.nav.button.focus.ring.offset"), ";\n}\n\n.p-galleria-thumbnail-nav-button .p-galleria-thumbnail-next-icon,\n.p-galleria-thumbnail-nav-button .p-galleria-thumbnail-prev-icon {\n    font-size: ").concat(dt3("galleria.thumbnail.nav.button.icon.size"), ";\n    width: ").concat(dt3("galleria.thumbnail.nav.button.icon.size"), ";\n    height: ").concat(dt3("galleria.thumbnail.nav.button.icon.size"), ";\n}\n\n.p-galleria-thumbnails-content {\n    display: flex;\n    flex-direction: row;\n    background: ").concat(dt3("galleria.thumbnails.content.background"), ";\n    padding: ").concat(dt3("galleria.thumbnails.content.padding"), ";\n}\n\n.p-galleria-thumbnails-viewport {\n    overflow: hidden;\n    width: 100%;\n}\n\n.p-galleria-thumbnail-items {\n    display: flex;\n}\n\n.p-galleria-thumbnail-item {\n    overflow: auto;\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    cursor: pointer;\n    opacity: 0.5;\n}\n\n.p-galleria-thumbnail {\n    outline-color: transparent;\n}\n\n.p-galleria-thumbnail-item:hover {\n    opacity: 1;\n    transition: opacity 0.3s;\n}\n\n.p-galleria-thumbnail-item-current {\n    opacity: 1;\n}\n\n.p-galleria-thumbnails-left .p-galleria-content,\n.p-galleria-thumbnails-right .p-galleria-content {\n    flex-direction: row;\n}\n\n.p-galleria-thumbnails-left .p-galleria-items-container,\n.p-galleria-thumbnails-right .p-galleria-items-container {\n    flex-direction: row;\n}\n\n.p-galleria-thumbnails-left .p-galleria-items-container,\n.p-galleria-thumbnails-top .p-galleria-items-container {\n    order: 2;\n}\n\n.p-galleria-thumbnails-left .p-galleria-thumbnails,\n.p-galleria-thumbnails-top .p-galleria-thumbnails {\n    order: 1;\n}\n\n.p-galleria-thumbnails-left .p-galleria-thumbnails-content,\n.p-galleria-thumbnails-right .p-galleria-thumbnails-content {\n    flex-direction: column;\n    flex-grow: 1;\n}\n\n.p-galleria-thumbnails-left .p-galleria-thumbnail-items,\n.p-galleria-thumbnails-right .p-galleria-thumbnail-items {\n    flex-direction: column;\n    height: 100%;\n}\n\n.p-galleria-indicator-list {\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    padding: ").concat(dt3("galleria.indicator.list.padding"), ";\n    gap: ").concat(dt3("galleria.indicator.list.gap"), ";\n    margin: 0;\n    list-style: none;\n}\n\n.p-galleria-indicator-button {\n    display: inline-flex;\n    align-items: center;\n    background: ").concat(dt3("galleria.indicator.button.background"), ";\n    width: ").concat(dt3("galleria.indicator.button.width"), ";\n    height: ").concat(dt3("galleria.indicator.button.height"), ";\n    transition: background ").concat(dt3("galleria.transition.duration"), ", color ").concat(dt3("galleria.transition.duration"), ", outline-color ").concat(dt3("galleria.transition.duration"), ", box-shadow ").concat(dt3("galleria.transition.duration"), ";\n    outline-color: transparent;\n    border-radius: ").concat(dt3("galleria.indicator.button.border.radius"), ";\n    margin: 0;\n    padding: 0;\n    border: none;\n    user-select: none;\n    cursor: pointer;\n}\n\n.p-galleria-indicator-button:hover {\n    background: ").concat(dt3("galleria.indicator.button.hover.background"), ";\n}\n\n.p-galleria-indicator-button:focus-visible {\n    box-shadow: ").concat(dt3("galleria.indicator.button.focus.ring.shadow"), ";\n    outline: ").concat(dt3("galleria.indicator.button.focus.ring.width"), " ").concat(dt3("galleria.indicator.button.focus.ring.style"), " ").concat(dt3("galleria.indicator.button.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("galleria.indicator.button.focus.ring.offset"), ";\n}\n\n.p-galleria-indicator-active .p-galleria-indicator-button {\n    background: ").concat(dt3("galleria.indicator.button.active.background"), ";\n}\n\n.p-galleria-indicators-left .p-galleria-items-container,\n.p-galleria-indicators-right .p-galleria-items-container {\n    flex-direction: row;\n    align-items: center;\n}\n\n.p-galleria-indicators-left .p-galleria-items,\n.p-galleria-indicators-top .p-galleria-items {\n    order: 2;\n}\n\n.p-galleria-indicators-left .p-galleria-indicator-list,\n.p-galleria-indicators-top .p-galleria-indicator-list {\n    order: 1;\n}\n\n.p-galleria-indicators-left .p-galleria-indicator-list,\n.p-galleria-indicators-right .p-galleria-indicator-list {\n    flex-direction: column;\n}\n\n.p-galleria-inset-indicators .p-galleria-indicator-list {\n    position: absolute;\n    display: flex;\n    z-index: 1;\n    background: ").concat(dt3("galleria.inset.indicator.list.background"), ";\n}\n\n.p-galleria-inset-indicators .p-galleria-indicator-button {\n    background: ").concat(dt3("galleria.inset.indicator.button.background"), ";\n}\n\n.p-galleria-inset-indicators .p-galleria-indicator-button:hover {\n    background: ").concat(dt3("galleria.inset.indicator.button.hover.background"), ";\n}\n\n.p-galleria-inset-indicators .p-galleria-indicator-active .p-galleria-indicator-button {\n    background: ").concat(dt3("galleria.inset.indicator.button.active.background"), ";\n}\n\n.p-galleria-inset-indicators.p-galleria-indicators-top .p-galleria-indicator-list {\n    top: 0;\n    left: 0;\n    width: 100%;\n    align-items: flex-start;\n}\n\n.p-galleria-inset-indicators.p-galleria-indicators-right .p-galleria-indicator-list {\n    right: 0;\n    top: 0;\n    height: 100%;\n    align-items: flex-end;\n}\n\n.p-galleria-inset-indicators.p-galleria-indicators-bottom .p-galleria-indicator-list {\n    bottom: 0;\n    left: 0;\n    width: 100%;\n    align-items: flex-end;\n}\n\n.p-galleria-inset-indicators.p-galleria-indicators-left .p-galleria-indicator-list {\n    left: 0;\n    top: 0;\n    height: 100%;\n    align-items: flex-start;\n}\n\n.p-galleria-mask {\n    position: fixed;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n    display: flex;\n    align-items: center;\n    justify-content: center;\n}\n\n.p-galleria-close-button {\n    position: absolute;\n    top: 0;\n    right: 0;\n    display: flex;\n    justify-content: center;\n    align-items: center;\n    overflow: hidden;\n    margin: ").concat(dt3("galleria.close.button.gutter"), ";\n    background: ").concat(dt3("galleria.close.button.background"), ";\n    color: ").concat(dt3("galleria.close.button.color"), ";\n    width: ").concat(dt3("galleria.close.button.size"), ";\n    height: ").concat(dt3("galleria.close.button.size"), ";\n    padding: 0;\n    border: none;\n    user-select: none;\n    cursor: pointer;\n    border-radius: ").concat(dt3("galleria.close.button.border.radius"), ";\n    outline-color: transparent;\n    transition: background ").concat(dt3("galleria.transition.duration"), ", color ").concat(dt3("galleria.transition.duration"), ", outline-color ").concat(dt3("galleria.transition.duration"), ";\n}\n\n.p-galleria-close-icon {\n    font-size: ").concat(dt3("galleria.close.button.icon.size"), ";\n    width: ").concat(dt3("galleria.close.button.icon.size"), ";\n    height: ").concat(dt3("galleria.close.button.icon.size"), ";\n}\n\n.p-galleria-close-button:hover {\n    background: ").concat(dt3("galleria.close.button.hover.background"), ";\n    color: ").concat(dt3("galleria.close.button.hover.color"), ";\n}\n\n.p-galleria-close-button:focus-visible {\n    box-shadow: ").concat(dt3("galleria.close.button.focus.ring.shadow"), ";\n    outline: ").concat(dt3("galleria.close.button.focus.ring.width"), " ").concat(dt3("galleria.close.button.focus.ring.style"), " ").concat(dt3("galleria.close.button.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("galleria.close.button.focus.ring.offset"), ";\n}\n\n.p-galleria-mask .p-galleria-nav-button {\n    position: fixed;\n    top: 50%;\n}\n\n.p-galleria-enter-active {\n    transition: all 150ms cubic-bezier(0, 0, 0.2, 1);\n}\n\n.p-galleria-leave-active {\n    transition: all 150ms cubic-bezier(0.4, 0, 0.2, 1);\n}\n\n.p-galleria-enter-from,\n.p-galleria-leave-to {\n    opacity: 0;\n    transform: scale(0.7);\n}\n\n.p-galleria-enter-active .p-galleria-nav-button {\n    opacity: 0;\n}\n\n.p-items-hidden .p-galleria-thumbnail-item {\n    visibility: hidden;\n}\n\n.p-items-hidden .p-galleria-thumbnail-item.p-galleria-thumbnail-item-active {\n    visibility: visible;\n}\n");
+}, "theme");
+var classes$6 = {
+  mask: "p-galleria-mask p-overlay-mask p-overlay-mask-enter",
+  root: /* @__PURE__ */ __name(function root21(_ref2) {
+    var instance = _ref2.instance;
+    var thumbnailsPosClass = instance.$attrs.showThumbnails && instance.getPositionClass("p-galleria-thumbnails", instance.$attrs.thumbnailsPosition);
+    var indicatorPosClass = instance.$attrs.showIndicators && instance.getPositionClass("p-galleria-indicators", instance.$attrs.indicatorsPosition);
+    return ["p-galleria p-component", {
+      "p-galleria-fullscreen": instance.$attrs.fullScreen,
+      "p-galleria-inset-indicators": instance.$attrs.showIndicatorsOnItem,
+      "p-galleria-hover-navigators": instance.$attrs.showItemNavigatorsOnHover && !instance.$attrs.fullScreen
+    }, thumbnailsPosClass, indicatorPosClass];
+  }, "root"),
+  closeButton: "p-galleria-close-button",
+  closeIcon: "p-galleria-close-icon",
+  header: "p-galleria-header",
+  content: "p-galleria-content",
+  footer: "p-galleria-footer",
+  itemsContainer: "p-galleria-items-container",
+  items: "p-galleria-items",
+  previousItemButton: /* @__PURE__ */ __name(function previousItemButton(_ref3) {
+    var instance = _ref3.instance;
+    return ["p-galleria-prev-button p-galleria-nav-button", {
+      "p-disabled": instance.isNavBackwardDisabled()
+    }];
+  }, "previousItemButton"),
+  previousItemIcon: "p-galleria-prev-icon",
+  item: "p-galleria-item",
+  nextItemButton: /* @__PURE__ */ __name(function nextItemButton(_ref4) {
+    var instance = _ref4.instance;
+    return ["p-galleria-next-button p-galleria-nav-button", {
+      "p-disabled": instance.isNavForwardDisabled()
+    }];
+  }, "nextItemButton"),
+  nextItemIcon: "p-galleria-next-icon",
+  caption: "p-galleria-caption",
+  indicatorList: "p-galleria-indicator-list",
+  indicator: /* @__PURE__ */ __name(function indicator(_ref5) {
+    var instance = _ref5.instance, index2 = _ref5.index;
+    return ["p-galleria-indicator", {
+      "p-galleria-indicator-active": instance.isIndicatorItemActive(index2)
+    }];
+  }, "indicator"),
+  indicatorButton: "p-galleria-indicator-button",
+  thumbnails: "p-galleria-thumbnails",
+  thumbnailContent: "p-galleria-thumbnails-content",
+  previousThumbnailButton: /* @__PURE__ */ __name(function previousThumbnailButton(_ref6) {
+    var instance = _ref6.instance;
+    return ["p-galleria-thumbnail-prev-button p-galleria-thumbnail-nav-button", {
+      "p-disabled": instance.isNavBackwardDisabled()
+    }];
+  }, "previousThumbnailButton"),
+  previousThumbnailIcon: "p-galleria-thumbnail-prev-icon",
+  thumbnailsViewport: "p-galleria-thumbnails-viewport",
+  thumbnailItems: "p-galleria-thumbnail-items",
+  thumbnailItem: /* @__PURE__ */ __name(function thumbnailItem(_ref7) {
+    var instance = _ref7.instance, index2 = _ref7.index, activeIndex2 = _ref7.activeIndex;
+    return ["p-galleria-thumbnail-item", {
+      "p-galleria-thumbnail-item-current": activeIndex2 === index2,
+      "p-galleria-thumbnail-item-active": instance.isItemActive(index2),
+      "p-galleria-thumbnail-item-start": instance.firstItemAciveIndex() === index2,
+      "p-galleria-thumbnail-item-end": instance.lastItemActiveIndex() === index2
+    }];
+  }, "thumbnailItem"),
+  thumbnail: "p-galleria-thumbnail",
+  nextThumbnailButton: /* @__PURE__ */ __name(function nextThumbnailButton(_ref8) {
+    var instance = _ref8.instance;
+    return ["p-galleria-thumbnail-next-button  p-galleria-thumbnail-nav-button", {
+      "p-disabled": instance.isNavForwardDisabled()
+    }];
+  }, "nextThumbnailButton"),
+  nextThumbnailIcon: "p-galleria-thumbnail-next-icon"
+};
+var GalleriaStyle = BaseStyle.extend({
+  name: "galleria",
+  theme: theme$6,
+  classes: classes$6
+});
+var script$e = {
+  name: "ChevronLeftIcon",
+  "extends": script$U
+};
+var _hoisted_1$i = /* @__PURE__ */ createBaseVNode("path", {
+  d: "M9.61296 13C9.50997 13.0005 9.40792 12.9804 9.3128 12.9409C9.21767 12.9014 9.13139 12.8433 9.05902 12.7701L3.83313 7.54416C3.68634 7.39718 3.60388 7.19795 3.60388 6.99022C3.60388 6.78249 3.68634 6.58325 3.83313 6.43628L9.05902 1.21039C9.20762 1.07192 9.40416 0.996539 9.60724 1.00012C9.81032 1.00371 10.0041 1.08597 10.1477 1.22959C10.2913 1.37322 10.3736 1.56698 10.3772 1.77005C10.3808 1.97313 10.3054 2.16968 10.1669 2.31827L5.49496 6.99022L10.1669 11.6622C10.3137 11.8091 10.3962 12.0084 10.3962 12.2161C10.3962 12.4238 10.3137 12.6231 10.1669 12.7701C10.0945 12.8433 10.0083 12.9014 9.91313 12.9409C9.81801 12.9804 9.71596 13.0005 9.61296 13Z",
+  fill: "currentColor"
+}, null, -1);
+var _hoisted_2$c = [_hoisted_1$i];
+function render$d(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("svg", mergeProps({
+    width: "14",
+    height: "14",
+    viewBox: "0 0 14 14",
+    fill: "none",
+    xmlns: "http://www.w3.org/2000/svg"
+  }, _ctx.pti()), _hoisted_2$c, 16);
+}
+__name(render$d, "render$d");
+script$e.render = render$d;
+var script$d = {
+  name: "ChevronRightIcon",
+  "extends": script$U
+};
+var _hoisted_1$h = /* @__PURE__ */ createBaseVNode("path", {
+  d: "M4.38708 13C4.28408 13.0005 4.18203 12.9804 4.08691 12.9409C3.99178 12.9014 3.9055 12.8433 3.83313 12.7701C3.68634 12.6231 3.60388 12.4238 3.60388 12.2161C3.60388 12.0084 3.68634 11.8091 3.83313 11.6622L8.50507 6.99022L3.83313 2.31827C3.69467 2.16968 3.61928 1.97313 3.62287 1.77005C3.62645 1.56698 3.70872 1.37322 3.85234 1.22959C3.99596 1.08597 4.18972 1.00371 4.3928 1.00012C4.59588 0.996539 4.79242 1.07192 4.94102 1.21039L10.1669 6.43628C10.3137 6.58325 10.3962 6.78249 10.3962 6.99022C10.3962 7.19795 10.3137 7.39718 10.1669 7.54416L4.94102 12.7701C4.86865 12.8433 4.78237 12.9014 4.68724 12.9409C4.59212 12.9804 4.49007 13.0005 4.38708 13Z",
+  fill: "currentColor"
+}, null, -1);
+var _hoisted_2$b = [_hoisted_1$h];
+function render$c(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("svg", mergeProps({
+    width: "14",
+    height: "14",
+    viewBox: "0 0 14 14",
+    fill: "none",
+    xmlns: "http://www.w3.org/2000/svg"
+  }, _ctx.pti()), _hoisted_2$b, 16);
+}
+__name(render$c, "render$c");
+script$d.render = render$c;
+var script$c = {
+  name: "ChevronUpIcon",
+  "extends": script$U
+};
+var _hoisted_1$g = /* @__PURE__ */ createBaseVNode("path", {
+  d: "M12.2097 10.4113C12.1057 10.4118 12.0027 10.3915 11.9067 10.3516C11.8107 10.3118 11.7237 10.2532 11.6506 10.1792L6.93602 5.46461L2.22139 10.1476C2.07272 10.244 1.89599 10.2877 1.71953 10.2717C1.54307 10.2556 1.3771 10.1808 1.24822 10.0593C1.11933 9.93766 1.035 9.77633 1.00874 9.6011C0.982477 9.42587 1.0158 9.2469 1.10338 9.09287L6.37701 3.81923C6.52533 3.6711 6.72639 3.58789 6.93602 3.58789C7.14565 3.58789 7.3467 3.6711 7.49502 3.81923L12.7687 9.09287C12.9168 9.24119 13 9.44225 13 9.65187C13 9.8615 12.9168 10.0626 12.7687 10.2109C12.616 10.3487 12.4151 10.4207 12.2097 10.4113Z",
+  fill: "currentColor"
+}, null, -1);
+var _hoisted_2$a = [_hoisted_1$g];
+function render$b(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("svg", mergeProps({
+    width: "14",
+    height: "14",
+    viewBox: "0 0 14 14",
+    fill: "none",
+    xmlns: "http://www.w3.org/2000/svg"
+  }, _ctx.pti()), _hoisted_2$a, 16);
+}
+__name(render$b, "render$b");
+script$c.render = render$b;
+var script$4$1 = {
+  name: "BaseGalleria",
+  "extends": script$X,
+  props: {
+    id: {
+      type: String,
+      "default": null
+    },
+    value: {
+      type: Array,
+      "default": null
+    },
+    activeIndex: {
+      type: Number,
+      "default": 0
+    },
+    fullScreen: {
+      type: Boolean,
+      "default": false
+    },
+    visible: {
+      type: Boolean,
+      "default": false
+    },
+    numVisible: {
+      type: Number,
+      "default": 3
+    },
+    responsiveOptions: {
+      type: Array,
+      "default": null
+    },
+    showItemNavigators: {
+      type: Boolean,
+      "default": false
+    },
+    showThumbnailNavigators: {
+      type: Boolean,
+      "default": true
+    },
+    showItemNavigatorsOnHover: {
+      type: Boolean,
+      "default": false
+    },
+    changeItemOnIndicatorHover: {
+      type: Boolean,
+      "default": false
+    },
+    circular: {
+      type: Boolean,
+      "default": false
+    },
+    autoPlay: {
+      type: Boolean,
+      "default": false
+    },
+    transitionInterval: {
+      type: Number,
+      "default": 4e3
+    },
+    showThumbnails: {
+      type: Boolean,
+      "default": true
+    },
+    thumbnailsPosition: {
+      type: String,
+      "default": "bottom"
+    },
+    verticalThumbnailViewPortHeight: {
+      type: String,
+      "default": "300px"
+    },
+    showIndicators: {
+      type: Boolean,
+      "default": false
+    },
+    showIndicatorsOnItem: {
+      type: Boolean,
+      "default": false
+    },
+    indicatorsPosition: {
+      type: String,
+      "default": "bottom"
+    },
+    baseZIndex: {
+      type: Number,
+      "default": 0
+    },
+    maskClass: {
+      type: String,
+      "default": null
+    },
+    containerStyle: {
+      type: null,
+      "default": null
+    },
+    containerClass: {
+      type: null,
+      "default": null
+    },
+    containerProps: {
+      type: null,
+      "default": null
+    },
+    prevButtonProps: {
+      type: null,
+      "default": null
+    },
+    nextButtonProps: {
+      type: null,
+      "default": null
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    },
+    ariaRoledescription: {
+      type: String,
+      "default": null
+    }
+  },
+  style: GalleriaStyle,
+  provide: /* @__PURE__ */ __name(function provide34() {
+    return {
+      $pcGalleria: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+function _toConsumableArray$1$1(r) {
+  return _arrayWithoutHoles$1$1(r) || _iterableToArray$1$1(r) || _unsupportedIterableToArray$1$1(r) || _nonIterableSpread$1$1();
+}
+__name(_toConsumableArray$1$1, "_toConsumableArray$1$1");
+function _nonIterableSpread$1$1() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$1$1, "_nonIterableSpread$1$1");
+function _unsupportedIterableToArray$1$1(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$1$1(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$1$1(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$1$1, "_unsupportedIterableToArray$1$1");
+function _iterableToArray$1$1(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$1$1, "_iterableToArray$1$1");
+function _arrayWithoutHoles$1$1(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$1$1(r);
+}
+__name(_arrayWithoutHoles$1$1, "_arrayWithoutHoles$1$1");
+function _arrayLikeToArray$1$1(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$1$1, "_arrayLikeToArray$1$1");
+var script$3$1 = {
+  name: "GalleriaItem",
+  hostName: "Galleria",
+  "extends": script$X,
+  emits: ["start-slideshow", "stop-slideshow", "update:activeIndex"],
+  props: {
+    circular: {
+      type: Boolean,
+      "default": false
+    },
+    activeIndex: {
+      type: Number,
+      "default": 0
+    },
+    value: {
+      type: Array,
+      "default": null
+    },
+    showItemNavigators: {
+      type: Boolean,
+      "default": true
+    },
+    showIndicators: {
+      type: Boolean,
+      "default": true
+    },
+    slideShowActive: {
+      type: Boolean,
+      "default": true
+    },
+    changeItemOnIndicatorHover: {
+      type: Boolean,
+      "default": true
+    },
+    autoPlay: {
+      type: Boolean,
+      "default": false
+    },
+    templates: {
+      type: null,
+      "default": null
+    },
+    id: {
+      type: String,
+      "default": null
+    }
+  },
+  mounted: /* @__PURE__ */ __name(function mounted15() {
+    if (this.autoPlay) {
+      this.$emit("start-slideshow");
+    }
+  }, "mounted"),
+  methods: {
+    getIndicatorPTOptions: /* @__PURE__ */ __name(function getIndicatorPTOptions(index2) {
+      return {
+        context: {
+          highlighted: this.activeIndex === index2
+        }
+      };
+    }, "getIndicatorPTOptions"),
+    next: /* @__PURE__ */ __name(function next() {
+      var nextItemIndex = this.activeIndex + 1;
+      var activeIndex2 = this.circular && this.value.length - 1 === this.activeIndex ? 0 : nextItemIndex;
+      this.$emit("update:activeIndex", activeIndex2);
+    }, "next"),
+    prev: /* @__PURE__ */ __name(function prev() {
+      var prevItemIndex = this.activeIndex !== 0 ? this.activeIndex - 1 : 0;
+      var activeIndex2 = this.circular && this.activeIndex === 0 ? this.value.length - 1 : prevItemIndex;
+      this.$emit("update:activeIndex", activeIndex2);
+    }, "prev"),
+    stopSlideShow: /* @__PURE__ */ __name(function stopSlideShow() {
+      if (this.slideShowActive && this.stopSlideShow) {
+        this.$emit("stop-slideshow");
+      }
+    }, "stopSlideShow"),
+    navBackward: /* @__PURE__ */ __name(function navBackward(e) {
+      this.stopSlideShow();
+      this.prev();
+      if (e && e.cancelable) {
+        e.preventDefault();
+      }
+    }, "navBackward"),
+    navForward: /* @__PURE__ */ __name(function navForward(e) {
+      this.stopSlideShow();
+      this.next();
+      if (e && e.cancelable) {
+        e.preventDefault();
+      }
+    }, "navForward"),
+    onIndicatorClick: /* @__PURE__ */ __name(function onIndicatorClick(index2) {
+      this.stopSlideShow();
+      this.$emit("update:activeIndex", index2);
+    }, "onIndicatorClick"),
+    onIndicatorMouseEnter: /* @__PURE__ */ __name(function onIndicatorMouseEnter(index2) {
+      if (this.changeItemOnIndicatorHover) {
+        this.stopSlideShow();
+        this.$emit("update:activeIndex", index2);
+      }
+    }, "onIndicatorMouseEnter"),
+    onIndicatorKeyDown: /* @__PURE__ */ __name(function onIndicatorKeyDown(event2, index2) {
+      switch (event2.code) {
+        case "Enter":
+        case "NumpadEnter":
+        case "Space":
+          this.stopSlideShow();
+          this.$emit("update:activeIndex", index2);
+          event2.preventDefault();
+          break;
+        case "ArrowRight":
+          this.onRightKey();
+          break;
+        case "ArrowLeft":
+          this.onLeftKey();
+          break;
+        case "Home":
+          this.onHomeKey();
+          event2.preventDefault();
+          break;
+        case "End":
+          this.onEndKey();
+          event2.preventDefault();
+          break;
+        case "Tab":
+          this.onTabKey();
+          break;
+        case "ArrowDown":
+        case "ArrowUp":
+        case "PageUp":
+        case "PageDown":
+          event2.preventDefault();
+          break;
+      }
+    }, "onIndicatorKeyDown"),
+    onRightKey: /* @__PURE__ */ __name(function onRightKey() {
+      var indicators = _toConsumableArray$1$1(find(this.$refs.indicatorContent, '[data-pc-section="indicator"]'));
+      var activeIndex2 = this.findFocusedIndicatorIndex();
+      this.changedFocusedIndicator(activeIndex2, activeIndex2 + 1 === indicators.length ? indicators.length - 1 : activeIndex2 + 1);
+    }, "onRightKey"),
+    onLeftKey: /* @__PURE__ */ __name(function onLeftKey() {
+      var activeIndex2 = this.findFocusedIndicatorIndex();
+      this.changedFocusedIndicator(activeIndex2, activeIndex2 - 1 <= 0 ? 0 : activeIndex2 - 1);
+    }, "onLeftKey"),
+    onHomeKey: /* @__PURE__ */ __name(function onHomeKey5() {
+      var activeIndex2 = this.findFocusedIndicatorIndex();
+      this.changedFocusedIndicator(activeIndex2, 0);
+    }, "onHomeKey"),
+    onEndKey: /* @__PURE__ */ __name(function onEndKey5() {
+      var indicators = _toConsumableArray$1$1(find(this.$refs.indicatorContent, '[data-pc-section="indicator"]'));
+      var activeIndex2 = this.findFocusedIndicatorIndex();
+      this.changedFocusedIndicator(activeIndex2, indicators.length - 1);
+    }, "onEndKey"),
+    onTabKey: /* @__PURE__ */ __name(function onTabKey4() {
+      var indicators = _toConsumableArray$1$1(find(this.$refs.indicatorContent, '[data-pc-section="indicator"]'));
+      var highlightedIndex = indicators.findIndex(function(ind) {
+        return getAttribute(ind, "data-p-active") === true;
+      });
+      var activeIndicator = findSingle(this.$refs.indicatorContent, '[data-pc-section="indicator"] > button[tabindex="0"]');
+      var activeIndex2 = indicators.findIndex(function(ind) {
+        return ind === activeIndicator.parentElement;
+      });
+      indicators[activeIndex2].children[0].tabIndex = "-1";
+      indicators[highlightedIndex].children[0].tabIndex = "0";
+    }, "onTabKey"),
+    findFocusedIndicatorIndex: /* @__PURE__ */ __name(function findFocusedIndicatorIndex() {
+      var indicators = _toConsumableArray$1$1(find(this.$refs.indicatorContent, '[data-pc-section="indicator"]'));
+      var activeIndicator = findSingle(this.$refs.indicatorContent, '[data-pc-section="indicator"] > button[tabindex="0"]');
+      return indicators.findIndex(function(ind) {
+        return ind === activeIndicator.parentElement;
+      });
+    }, "findFocusedIndicatorIndex"),
+    changedFocusedIndicator: /* @__PURE__ */ __name(function changedFocusedIndicator(prevInd, nextInd) {
+      var indicators = _toConsumableArray$1$1(find(this.$refs.indicatorContent, '[data-pc-section="indicator"]'));
+      indicators[prevInd].children[0].tabIndex = "-1";
+      indicators[nextInd].children[0].tabIndex = "0";
+      indicators[nextInd].children[0].focus();
+    }, "changedFocusedIndicator"),
+    isIndicatorItemActive: /* @__PURE__ */ __name(function isIndicatorItemActive(index2) {
+      return this.activeIndex === index2;
+    }, "isIndicatorItemActive"),
+    isNavBackwardDisabled: /* @__PURE__ */ __name(function isNavBackwardDisabled() {
+      return !this.circular && this.activeIndex === 0;
+    }, "isNavBackwardDisabled"),
+    isNavForwardDisabled: /* @__PURE__ */ __name(function isNavForwardDisabled() {
+      return !this.circular && this.activeIndex === this.value.length - 1;
+    }, "isNavForwardDisabled"),
+    ariaSlideNumber: /* @__PURE__ */ __name(function ariaSlideNumber(value3) {
+      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.slideNumber.replace(/{slideNumber}/g, value3) : void 0;
+    }, "ariaSlideNumber"),
+    ariaPageLabel: /* @__PURE__ */ __name(function ariaPageLabel(value3) {
+      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.pageLabel.replace(/{page}/g, value3) : void 0;
+    }, "ariaPageLabel")
+  },
+  computed: {
+    activeItem: /* @__PURE__ */ __name(function activeItem() {
+      return this.value[this.activeIndex];
+    }, "activeItem"),
+    ariaSlideLabel: /* @__PURE__ */ __name(function ariaSlideLabel() {
+      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.slide : void 0;
+    }, "ariaSlideLabel")
+  },
+  components: {
+    ChevronLeftIcon: script$e,
+    ChevronRightIcon: script$d
+  },
+  directives: {
+    ripple: Ripple
+  }
+};
+var _hoisted_1$3$1 = ["disabled"];
+var _hoisted_2$2$1 = ["id", "aria-label", "aria-roledescription"];
+var _hoisted_3$2$1 = ["disabled"];
+var _hoisted_4$1$1 = ["aria-label", "aria-selected", "aria-controls", "onClick", "onMouseenter", "onKeydown", "data-p-active"];
+var _hoisted_5$1 = ["tabindex"];
+function render$3$1(_ctx, _cache, $props, $setup, $data, $options) {
+  var _directive_ripple = resolveDirective("ripple");
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("itemsContainer")
+  }, _ctx.ptm("itemsContainer")), [createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("items")
+  }, _ctx.ptm("items")), [$props.showItemNavigators ? withDirectives((openBlock(), createElementBlock("button", mergeProps({
+    key: 0,
+    type: "button",
+    "class": _ctx.cx("previousItemButton"),
+    onClick: _cache[0] || (_cache[0] = function($event) {
+      return $options.navBackward($event);
+    }),
+    disabled: $options.isNavBackwardDisabled()
+  }, _ctx.ptm("previousItemButton"), {
+    "data-pc-group-section": "itemnavigator"
+  }), [(openBlock(), createBlock(resolveDynamicComponent($props.templates.previousitemicon || "ChevronLeftIcon"), mergeProps({
+    "class": _ctx.cx("previousItemIcon")
+  }, _ctx.ptm("previousItemIcon")), null, 16, ["class"]))], 16, _hoisted_1$3$1)), [[_directive_ripple]]) : createCommentVNode("", true), createBaseVNode("div", mergeProps({
+    id: $props.id + "_item_" + $props.activeIndex,
+    "class": _ctx.cx("item"),
+    role: "group",
+    "aria-label": $options.ariaSlideNumber($props.activeIndex + 1),
+    "aria-roledescription": $options.ariaSlideLabel
+  }, _ctx.ptm("item")), [$props.templates.item ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.item), {
+    key: 0,
+    item: $options.activeItem
+  }, null, 8, ["item"])) : createCommentVNode("", true)], 16, _hoisted_2$2$1), $props.showItemNavigators ? withDirectives((openBlock(), createElementBlock("button", mergeProps({
+    key: 1,
+    type: "button",
+    "class": _ctx.cx("nextItemButton"),
+    onClick: _cache[1] || (_cache[1] = function($event) {
+      return $options.navForward($event);
+    }),
+    disabled: $options.isNavForwardDisabled()
+  }, _ctx.ptm("nextItemButton"), {
+    "data-pc-group-section": "itemnavigator"
+  }), [(openBlock(), createBlock(resolveDynamicComponent($props.templates.nextitemicon || "ChevronRightIcon"), mergeProps({
+    "class": _ctx.cx("nextItemIcon")
+  }, _ctx.ptm("nextItemIcon")), null, 16, ["class"]))], 16, _hoisted_3$2$1)), [[_directive_ripple]]) : createCommentVNode("", true), $props.templates["caption"] ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 2,
+    "class": _ctx.cx("caption")
+  }, _ctx.ptm("caption")), [$props.templates.caption ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.caption), {
+    key: 0,
+    item: $options.activeItem
+  }, null, 8, ["item"])) : createCommentVNode("", true)], 16)) : createCommentVNode("", true)], 16), $props.showIndicators ? (openBlock(), createElementBlock("ul", mergeProps({
+    key: 0,
+    ref: "indicatorContent",
+    "class": _ctx.cx("indicatorList")
+  }, _ctx.ptm("indicatorList")), [(openBlock(true), createElementBlock(Fragment, null, renderList($props.value, function(item2, index2) {
+    return openBlock(), createElementBlock("li", mergeProps({
+      key: "p-galleria-indicator-".concat(index2),
+      "class": _ctx.cx("indicator", {
+        index: index2
+      }),
+      "aria-label": $options.ariaPageLabel(index2 + 1),
+      "aria-selected": $props.activeIndex === index2,
+      "aria-controls": $props.id + "_item_" + index2,
+      onClick: /* @__PURE__ */ __name(function onClick3($event) {
+        return $options.onIndicatorClick(index2);
+      }, "onClick"),
+      onMouseenter: /* @__PURE__ */ __name(function onMouseenter($event) {
+        return $options.onIndicatorMouseEnter(index2);
+      }, "onMouseenter"),
+      onKeydown: /* @__PURE__ */ __name(function onKeydown3($event) {
+        return $options.onIndicatorKeyDown($event, index2);
+      }, "onKeydown"),
+      ref_for: true
+    }, _ctx.ptm("indicator", $options.getIndicatorPTOptions(index2)), {
+      "data-p-active": $options.isIndicatorItemActive(index2)
+    }), [!$props.templates["indicator"] ? (openBlock(), createElementBlock("button", mergeProps({
+      key: 0,
+      type: "button",
+      tabindex: $props.activeIndex === index2 ? "0" : "-1",
+      "class": _ctx.cx("indicatorButton"),
+      ref_for: true
+    }, _ctx.ptm("indicatorButton", $options.getIndicatorPTOptions(index2))), null, 16, _hoisted_5$1)) : createCommentVNode("", true), $props.templates.indicator ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.indicator), {
+      key: 1,
+      index: index2
+    }, null, 8, ["index"])) : createCommentVNode("", true)], 16, _hoisted_4$1$1);
+  }), 128))], 16)) : createCommentVNode("", true)], 16);
+}
+__name(render$3$1, "render$3$1");
+script$3$1.render = render$3$1;
+function _toConsumableArray$4(r) {
+  return _arrayWithoutHoles$4(r) || _iterableToArray$4(r) || _unsupportedIterableToArray$4(r) || _nonIterableSpread$4();
+}
+__name(_toConsumableArray$4, "_toConsumableArray$4");
+function _nonIterableSpread$4() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$4, "_nonIterableSpread$4");
+function _unsupportedIterableToArray$4(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$4(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$4(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$4, "_unsupportedIterableToArray$4");
+function _iterableToArray$4(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$4, "_iterableToArray$4");
+function _arrayWithoutHoles$4(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$4(r);
+}
+__name(_arrayWithoutHoles$4, "_arrayWithoutHoles$4");
+function _arrayLikeToArray$4(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$4, "_arrayLikeToArray$4");
+var script$2$2 = {
+  name: "GalleriaThumbnails",
+  hostName: "Galleria",
+  "extends": script$X,
+  emits: ["stop-slideshow", "update:activeIndex"],
+  props: {
+    containerId: {
+      type: String,
+      "default": null
+    },
+    value: {
+      type: Array,
+      "default": null
+    },
+    numVisible: {
+      type: Number,
+      "default": 3
+    },
+    activeIndex: {
+      type: Number,
+      "default": 0
+    },
+    isVertical: {
+      type: Boolean,
+      "default": false
+    },
+    slideShowActive: {
+      type: Boolean,
+      "default": false
+    },
+    circular: {
+      type: Boolean,
+      "default": false
+    },
+    responsiveOptions: {
+      type: Array,
+      "default": null
+    },
+    contentHeight: {
+      type: String,
+      "default": "300px"
+    },
+    showThumbnailNavigators: {
+      type: Boolean,
+      "default": true
+    },
+    templates: {
+      type: null,
+      "default": null
+    },
+    prevButtonProps: {
+      type: null,
+      "default": null
+    },
+    nextButtonProps: {
+      type: null,
+      "default": null
+    }
+  },
+  startPos: null,
+  thumbnailsStyle: null,
+  sortedResponsiveOptions: null,
+  data: /* @__PURE__ */ __name(function data16() {
+    return {
+      d_numVisible: this.numVisible,
+      d_oldNumVisible: this.numVisible,
+      d_activeIndex: this.activeIndex,
+      d_oldActiveItemIndex: this.activeIndex,
+      totalShiftedItems: 0,
+      page: 0
+    };
+  }, "data"),
+  watch: {
+    numVisible: /* @__PURE__ */ __name(function numVisible(newValue, oldValue) {
+      this.d_numVisible = newValue;
+      this.d_oldNumVisible = oldValue;
+    }, "numVisible"),
+    activeIndex: /* @__PURE__ */ __name(function activeIndex(newValue, oldValue) {
+      this.d_activeIndex = newValue;
+      this.d_oldActiveItemIndex = oldValue;
+    }, "activeIndex")
+  },
+  mounted: /* @__PURE__ */ __name(function mounted16() {
+    this.createStyle();
+    this.calculatePosition();
+    if (this.responsiveOptions) {
+      this.bindDocumentListeners();
+    }
+  }, "mounted"),
+  updated: /* @__PURE__ */ __name(function updated9() {
+    var totalShiftedItems = this.totalShiftedItems;
+    if (this.d_oldNumVisible !== this.d_numVisible || this.d_oldActiveItemIndex !== this.d_activeIndex) {
+      if (this.d_activeIndex <= this.getMedianItemIndex()) {
+        totalShiftedItems = 0;
+      } else if (this.value.length - this.d_numVisible + this.getMedianItemIndex() < this.d_activeIndex) {
+        totalShiftedItems = this.d_numVisible - this.value.length;
+      } else if (this.value.length - this.d_numVisible < this.d_activeIndex && this.d_numVisible % 2 === 0) {
+        totalShiftedItems = this.d_activeIndex * -1 + this.getMedianItemIndex() + 1;
+      } else {
+        totalShiftedItems = this.d_activeIndex * -1 + this.getMedianItemIndex();
+      }
+      if (totalShiftedItems !== this.totalShiftedItems) {
+        this.totalShiftedItems = totalShiftedItems;
+      }
+      this.$refs.itemsContainer.style.transform = this.isVertical ? "translate3d(0, ".concat(totalShiftedItems * (100 / this.d_numVisible), "%, 0)") : "translate3d(".concat(totalShiftedItems * (100 / this.d_numVisible), "%, 0, 0)");
+      if (this.d_oldActiveItemIndex !== this.d_activeIndex) {
+        document.body.setAttribute("data-p-items-hidden", "false");
+        !this.isUnstyled && removeClass(this.$refs.itemsContainer, "p-items-hidden");
+        this.$refs.itemsContainer.style.transition = "transform 500ms ease 0s";
+      }
+      this.d_oldActiveItemIndex = this.d_activeIndex;
+      this.d_oldNumVisible = this.d_numVisible;
+    }
+  }, "updated"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount10() {
+    if (this.responsiveOptions) {
+      this.unbindDocumentListeners();
+    }
+    if (this.thumbnailsStyle) {
+      this.thumbnailsStyle.parentNode.removeChild(this.thumbnailsStyle);
+    }
+  }, "beforeUnmount"),
+  methods: {
+    step: /* @__PURE__ */ __name(function step(dir) {
+      var totalShiftedItems = this.totalShiftedItems + dir;
+      if (dir < 0 && -1 * totalShiftedItems + this.d_numVisible > this.value.length - 1) {
+        totalShiftedItems = this.d_numVisible - this.value.length;
+      } else if (dir > 0 && totalShiftedItems > 0) {
+        totalShiftedItems = 0;
+      }
+      if (this.circular) {
+        if (dir < 0 && this.value.length - 1 === this.d_activeIndex) {
+          totalShiftedItems = 0;
+        } else if (dir > 0 && this.d_activeIndex === 0) {
+          totalShiftedItems = this.d_numVisible - this.value.length;
+        }
+      }
+      if (this.$refs.itemsContainer) {
+        document.body.setAttribute("data-p-items-hidden", "false");
+        !this.isUnstyled && removeClass(this.$refs.itemsContainer, "p-items-hidden");
+        this.$refs.itemsContainer.style.transform = this.isVertical ? "translate3d(0, ".concat(totalShiftedItems * (100 / this.d_numVisible), "%, 0)") : "translate3d(".concat(totalShiftedItems * (100 / this.d_numVisible), "%, 0, 0)");
+        this.$refs.itemsContainer.style.transition = "transform 500ms ease 0s";
+      }
+      this.totalShiftedItems = totalShiftedItems;
+    }, "step"),
+    stopSlideShow: /* @__PURE__ */ __name(function stopSlideShow2() {
+      if (this.slideShowActive && this.stopSlideShow) {
+        this.$emit("stop-slideshow");
+      }
+    }, "stopSlideShow"),
+    getMedianItemIndex: /* @__PURE__ */ __name(function getMedianItemIndex() {
+      var index2 = Math.floor(this.d_numVisible / 2);
+      return this.d_numVisible % 2 ? index2 : index2 - 1;
+    }, "getMedianItemIndex"),
+    navBackward: /* @__PURE__ */ __name(function navBackward2(e) {
+      this.stopSlideShow();
+      var prevItemIndex = this.d_activeIndex !== 0 ? this.d_activeIndex - 1 : 0;
+      var diff = prevItemIndex + this.totalShiftedItems;
+      if (this.d_numVisible - diff - 1 > this.getMedianItemIndex() && (-1 * this.totalShiftedItems !== 0 || this.circular)) {
+        this.step(1);
+      }
+      var activeIndex2 = this.circular && this.d_activeIndex === 0 ? this.value.length - 1 : prevItemIndex;
+      this.$emit("update:activeIndex", activeIndex2);
+      if (e.cancelable) {
+        e.preventDefault();
+      }
+    }, "navBackward"),
+    navForward: /* @__PURE__ */ __name(function navForward2(e) {
+      this.stopSlideShow();
+      var nextItemIndex = this.d_activeIndex === this.value.length - 1 ? this.value.length - 1 : this.d_activeIndex + 1;
+      if (nextItemIndex + this.totalShiftedItems > this.getMedianItemIndex() && (-1 * this.totalShiftedItems < this.getTotalPageNumber() - 1 || this.circular)) {
+        this.step(-1);
+      }
+      var activeIndex2 = this.circular && this.value.length - 1 === this.d_activeIndex ? 0 : nextItemIndex;
+      this.$emit("update:activeIndex", activeIndex2);
+      if (e.cancelable) {
+        e.preventDefault();
+      }
+    }, "navForward"),
+    onItemClick: /* @__PURE__ */ __name(function onItemClick3(index2) {
+      this.stopSlideShow();
+      var selectedItemIndex = index2;
+      if (selectedItemIndex !== this.d_activeIndex) {
+        var diff = selectedItemIndex + this.totalShiftedItems;
+        var dir = 0;
+        if (selectedItemIndex < this.d_activeIndex) {
+          dir = this.d_numVisible - diff - 1 - this.getMedianItemIndex();
+          if (dir > 0 && -1 * this.totalShiftedItems !== 0) {
+            this.step(dir);
+          }
+        } else {
+          dir = this.getMedianItemIndex() - diff;
+          if (dir < 0 && -1 * this.totalShiftedItems < this.getTotalPageNumber() - 1) {
+            this.step(dir);
+          }
+        }
+        this.$emit("update:activeIndex", selectedItemIndex);
+      }
+    }, "onItemClick"),
+    onThumbnailKeydown: /* @__PURE__ */ __name(function onThumbnailKeydown(event2, index2) {
+      if (event2.code === "Enter" || event2.code === "NumpadEnter" || event2.code === "Space") {
+        this.onItemClick(index2);
+        event2.preventDefault();
+      }
+      switch (event2.code) {
+        case "ArrowRight":
+          this.onRightKey();
+          break;
+        case "ArrowLeft":
+          this.onLeftKey();
+          break;
+        case "Home":
+          this.onHomeKey();
+          event2.preventDefault();
+          break;
+        case "End":
+          this.onEndKey();
+          event2.preventDefault();
+          break;
+        case "ArrowUp":
+        case "ArrowDown":
+          event2.preventDefault();
+          break;
+        case "Tab":
+          this.onTabKey();
+          break;
+      }
+    }, "onThumbnailKeydown"),
+    onRightKey: /* @__PURE__ */ __name(function onRightKey2() {
+      var indicators = find(this.$refs.itemsContainer, '[data-pc-section="thumbnailitem"]');
+      var activeIndex2 = this.findFocusedIndicatorIndex();
+      this.changedFocusedIndicator(activeIndex2, activeIndex2 + 1 === indicators.length ? indicators.length - 1 : activeIndex2 + 1);
+    }, "onRightKey"),
+    onLeftKey: /* @__PURE__ */ __name(function onLeftKey2() {
+      var activeIndex2 = this.findFocusedIndicatorIndex();
+      this.changedFocusedIndicator(activeIndex2, activeIndex2 - 1 <= 0 ? 0 : activeIndex2 - 1);
+    }, "onLeftKey"),
+    onHomeKey: /* @__PURE__ */ __name(function onHomeKey6() {
+      var activeIndex2 = this.findFocusedIndicatorIndex();
+      this.changedFocusedIndicator(activeIndex2, 0);
+    }, "onHomeKey"),
+    onEndKey: /* @__PURE__ */ __name(function onEndKey6() {
+      var indicators = find(this.$refs.itemsContainer, '[data-pc-section="thumbnailitem"]');
+      var activeIndex2 = this.findFocusedIndicatorIndex();
+      this.changedFocusedIndicator(activeIndex2, indicators.length - 1);
+    }, "onEndKey"),
+    onTabKey: /* @__PURE__ */ __name(function onTabKey5() {
+      var indicators = _toConsumableArray$4(find(this.$refs.itemsContainer, '[data-pc-section="thumbnailitem"]'));
+      var highlightedIndex = indicators.findIndex(function(ind) {
+        return getAttribute(ind, "data-p-active") === true;
+      });
+      var activeIndicator = findSingle(this.$refs.itemsContainer, '[tabindex="0"]');
+      var activeIndex2 = indicators.findIndex(function(ind) {
+        return ind === activeIndicator.parentElement;
+      });
+      indicators[activeIndex2].children[0].tabIndex = "-1";
+      indicators[highlightedIndex].children[0].tabIndex = "0";
+    }, "onTabKey"),
+    findFocusedIndicatorIndex: /* @__PURE__ */ __name(function findFocusedIndicatorIndex2() {
+      var indicators = _toConsumableArray$4(find(this.$refs.itemsContainer, '[data-pc-section="thumbnailitem"]'));
+      var activeIndicator = findSingle(this.$refs.itemsContainer, '[data-pc-section="thumbnailitem"] > [tabindex="0"]');
+      return indicators.findIndex(function(ind) {
+        return ind === activeIndicator.parentElement;
+      });
+    }, "findFocusedIndicatorIndex"),
+    changedFocusedIndicator: /* @__PURE__ */ __name(function changedFocusedIndicator2(prevInd, nextInd) {
+      var indicators = find(this.$refs.itemsContainer, '[data-pc-section="thumbnailitem"]');
+      indicators[prevInd].children[0].tabIndex = "-1";
+      indicators[nextInd].children[0].tabIndex = "0";
+      indicators[nextInd].children[0].focus();
+    }, "changedFocusedIndicator"),
+    onTransitionEnd: /* @__PURE__ */ __name(function onTransitionEnd(e) {
+      if (this.$refs.itemsContainer && e.propertyName === "transform") {
+        document.body.setAttribute("data-p-items-hidden", "true");
+        !this.isUnstyled && addClass(this.$refs.itemsContainer, "p-items-hidden");
+        this.$refs.itemsContainer.style.transition = "";
+      }
+    }, "onTransitionEnd"),
+    onTouchStart: /* @__PURE__ */ __name(function onTouchStart(e) {
+      var touchobj = e.changedTouches[0];
+      this.startPos = {
+        x: touchobj.pageX,
+        y: touchobj.pageY
+      };
+    }, "onTouchStart"),
+    onTouchMove: /* @__PURE__ */ __name(function onTouchMove(e) {
+      if (e.cancelable) {
+        e.preventDefault();
+      }
+    }, "onTouchMove"),
+    onTouchEnd: /* @__PURE__ */ __name(function onTouchEnd(e) {
+      var touchobj = e.changedTouches[0];
+      if (this.isVertical) {
+        this.changePageOnTouch(e, touchobj.pageY - this.startPos.y);
+      } else {
+        this.changePageOnTouch(e, touchobj.pageX - this.startPos.x);
+      }
+    }, "onTouchEnd"),
+    changePageOnTouch: /* @__PURE__ */ __name(function changePageOnTouch(e, diff) {
+      if (diff < 0) {
+        this.navForward(e);
+      } else {
+        this.navBackward(e);
+      }
+    }, "changePageOnTouch"),
+    getTotalPageNumber: /* @__PURE__ */ __name(function getTotalPageNumber() {
+      return this.value.length > this.d_numVisible ? this.value.length - this.d_numVisible + 1 : 0;
+    }, "getTotalPageNumber"),
+    createStyle: /* @__PURE__ */ __name(function createStyle2() {
+      if (!this.thumbnailsStyle) {
+        var _this$$primevue;
+        this.thumbnailsStyle = document.createElement("style");
+        this.thumbnailsStyle.type = "text/css";
+        setAttribute(this.thumbnailsStyle, "nonce", (_this$$primevue = this.$primevue) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.config) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.csp) === null || _this$$primevue === void 0 ? void 0 : _this$$primevue.nonce);
+        document.body.appendChild(this.thumbnailsStyle);
+      }
+      var innerHTML = "\n                #".concat(this.containerId, ' [data-pc-section="thumbnailitem"] {\n                    flex: 1 0 ').concat(100 / this.d_numVisible, "%\n                }\n            ");
+      if (this.responsiveOptions && !this.isUnstyled) {
+        this.sortedResponsiveOptions = _toConsumableArray$4(this.responsiveOptions);
+        var comparer = localeComparator();
+        this.sortedResponsiveOptions.sort(function(data1, data24) {
+          var value1 = data1.breakpoint;
+          var value22 = data24.breakpoint;
+          return sort(value1, value22, -1, comparer);
+        });
+        for (var i2 = 0; i2 < this.sortedResponsiveOptions.length; i2++) {
+          var res = this.sortedResponsiveOptions[i2];
+          innerHTML += "\n                        @media screen and (max-width: ".concat(res.breakpoint, ") {\n                            #").concat(this.containerId, " .p-galleria-thumbnail-item {\n                                flex: 1 0 ").concat(100 / res.numVisible, "%\n                            }\n                        }\n                    ");
+        }
+      }
+      this.thumbnailsStyle.innerHTML = innerHTML;
+    }, "createStyle"),
+    calculatePosition: /* @__PURE__ */ __name(function calculatePosition() {
+      if (this.$refs.itemsContainer && this.sortedResponsiveOptions) {
+        var windowWidth = window.innerWidth;
+        var matchedResponsiveData = {
+          numVisible: this.numVisible
+        };
+        for (var i2 = 0; i2 < this.sortedResponsiveOptions.length; i2++) {
+          var res = this.sortedResponsiveOptions[i2];
+          if (parseInt(res.breakpoint, 10) >= windowWidth) {
+            matchedResponsiveData = res;
+          }
+        }
+        if (this.d_numVisible !== matchedResponsiveData.numVisible) {
+          this.d_numVisible = matchedResponsiveData.numVisible;
+        }
+      }
+    }, "calculatePosition"),
+    bindDocumentListeners: /* @__PURE__ */ __name(function bindDocumentListeners() {
+      var _this = this;
+      if (!this.documentResizeListener) {
+        this.documentResizeListener = function() {
+          _this.calculatePosition();
+        };
+        window.addEventListener("resize", this.documentResizeListener);
+      }
+    }, "bindDocumentListeners"),
+    unbindDocumentListeners: /* @__PURE__ */ __name(function unbindDocumentListeners() {
+      if (this.documentResizeListener) {
+        window.removeEventListener("resize", this.documentResizeListener);
+        this.documentResizeListener = null;
+      }
+    }, "unbindDocumentListeners"),
+    isNavBackwardDisabled: /* @__PURE__ */ __name(function isNavBackwardDisabled2() {
+      return !this.circular && this.d_activeIndex === 0 || this.value.length <= this.d_numVisible;
+    }, "isNavBackwardDisabled"),
+    isNavForwardDisabled: /* @__PURE__ */ __name(function isNavForwardDisabled2() {
+      return !this.circular && this.d_activeIndex === this.value.length - 1 || this.value.length <= this.d_numVisible;
+    }, "isNavForwardDisabled"),
+    firstItemAciveIndex: /* @__PURE__ */ __name(function firstItemAciveIndex() {
+      return this.totalShiftedItems * -1;
+    }, "firstItemAciveIndex"),
+    lastItemActiveIndex: /* @__PURE__ */ __name(function lastItemActiveIndex() {
+      return this.firstItemAciveIndex() + this.d_numVisible - 1;
+    }, "lastItemActiveIndex"),
+    isItemActive: /* @__PURE__ */ __name(function isItemActive2(index2) {
+      return this.firstItemAciveIndex() <= index2 && this.lastItemActiveIndex() >= index2;
+    }, "isItemActive"),
+    ariaPageLabel: /* @__PURE__ */ __name(function ariaPageLabel2(value3) {
+      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.pageLabel.replace(/{page}/g, value3) : void 0;
+    }, "ariaPageLabel")
+  },
+  computed: {
+    ariaPrevButtonLabel: /* @__PURE__ */ __name(function ariaPrevButtonLabel() {
+      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.prevPageLabel : void 0;
+    }, "ariaPrevButtonLabel"),
+    ariaNextButtonLabel: /* @__PURE__ */ __name(function ariaNextButtonLabel() {
+      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.nextPageLabel : void 0;
+    }, "ariaNextButtonLabel")
+  },
+  components: {
+    ChevronLeftIcon: script$e,
+    ChevronRightIcon: script$d,
+    ChevronUpIcon: script$c,
+    ChevronDownIcon: script$B
+  },
+  directives: {
+    ripple: Ripple
+  }
+};
+function _typeof$2$1(o) {
+  "@babel/helpers - typeof";
+  return _typeof$2$1 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$2$1(o);
+}
+__name(_typeof$2$1, "_typeof$2$1");
+function ownKeys$2$1(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$2$1, "ownKeys$2$1");
+function _objectSpread$2$1(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$2$1(Object(t), true).forEach(function(r2) {
+      _defineProperty$2$1(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$2$1(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$2$1, "_objectSpread$2$1");
+function _defineProperty$2$1(e, r, t) {
+  return (r = _toPropertyKey$2$1(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$2$1, "_defineProperty$2$1");
+function _toPropertyKey$2$1(t) {
+  var i2 = _toPrimitive$2$1(t, "string");
+  return "symbol" == _typeof$2$1(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$2$1, "_toPropertyKey$2$1");
+function _toPrimitive$2$1(t, r) {
+  if ("object" != _typeof$2$1(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$2$1(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$2$1, "_toPrimitive$2$1");
+var _hoisted_1$2$1 = ["disabled", "aria-label"];
+var _hoisted_2$1$1 = ["data-p-active", "aria-selected", "aria-controls", "onKeydown", "data-p-galleria-thumbnail-item-current", "data-p-galleria-thumbnail-item-active", "data-p-galleria-thumbnail-item-start", "data-p-galleria-thumbnail-item-end"];
+var _hoisted_3$1$1 = ["tabindex", "aria-label", "aria-current", "onClick"];
+var _hoisted_4$2 = ["disabled", "aria-label"];
+function render$2$1(_ctx, _cache, $props, $setup, $data, $options) {
+  var _directive_ripple = resolveDirective("ripple");
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("thumbnails")
+  }, _ctx.ptm("thumbnails")), [createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("thumbnailContent")
+  }, _ctx.ptm("thumbnailContent")), [$props.showThumbnailNavigators ? withDirectives((openBlock(), createElementBlock("button", mergeProps({
+    key: 0,
+    "class": _ctx.cx("previousThumbnailButton"),
+    disabled: $options.isNavBackwardDisabled(),
+    type: "button",
+    "aria-label": $options.ariaPrevButtonLabel,
+    onClick: _cache[0] || (_cache[0] = function($event) {
+      return $options.navBackward($event);
+    })
+  }, _objectSpread$2$1(_objectSpread$2$1({}, $props.prevButtonProps), _ctx.ptm("previousThumbnailButton")), {
+    "data-pc-group-section": "thumbnailnavigator"
+  }), [(openBlock(), createBlock(resolveDynamicComponent($props.templates.previousthumbnailicon || ($props.isVertical ? "ChevronUpIcon" : "ChevronLeftIcon")), mergeProps({
+    "class": _ctx.cx("previousThumbnailIcon")
+  }, _ctx.ptm("previousThumbnailIcon")), null, 16, ["class"]))], 16, _hoisted_1$2$1)), [[_directive_ripple]]) : createCommentVNode("", true), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("thumbnailsViewport"),
+    style: {
+      height: $props.isVertical ? $props.contentHeight : ""
+    }
+  }, _ctx.ptm("thumbnailsViewport")), [createBaseVNode("div", mergeProps({
+    ref: "itemsContainer",
+    "class": _ctx.cx("thumbnailItems"),
+    role: "tablist",
+    onTransitionend: _cache[1] || (_cache[1] = function($event) {
+      return $options.onTransitionEnd($event);
+    }),
+    onTouchstart: _cache[2] || (_cache[2] = function($event) {
+      return $options.onTouchStart($event);
+    }),
+    onTouchmove: _cache[3] || (_cache[3] = function($event) {
+      return $options.onTouchMove($event);
+    }),
+    onTouchend: _cache[4] || (_cache[4] = function($event) {
+      return $options.onTouchEnd($event);
+    })
+  }, _ctx.ptm("thumbnailItems")), [(openBlock(true), createElementBlock(Fragment, null, renderList($props.value, function(item2, index2) {
+    return openBlock(), createElementBlock("div", mergeProps({
+      key: "p-galleria-thumbnail-item-".concat(index2),
+      "class": _ctx.cx("thumbnailItem", {
+        index: index2,
+        activeIndex: $props.activeIndex
+      }),
+      role: "tab",
+      "data-p-active": $props.activeIndex === index2,
+      "aria-selected": $props.activeIndex === index2,
+      "aria-controls": $props.containerId + "_item_" + index2,
+      onKeydown: /* @__PURE__ */ __name(function onKeydown3($event) {
+        return $options.onThumbnailKeydown($event, index2);
+      }, "onKeydown"),
+      ref_for: true
+    }, _ctx.ptm("thumbnailItem"), {
+      "data-p-galleria-thumbnail-item-current": $props.activeIndex === index2,
+      "data-p-galleria-thumbnail-item-active": $options.isItemActive(index2),
+      "data-p-galleria-thumbnail-item-start": $options.firstItemAciveIndex() === index2,
+      "data-p-galleria-thumbnail-item-end": $options.lastItemActiveIndex() === index2
+    }), [createBaseVNode("div", mergeProps({
+      "class": _ctx.cx("thumbnail"),
+      tabindex: $props.activeIndex === index2 ? "0" : "-1",
+      "aria-label": $options.ariaPageLabel(index2 + 1),
+      "aria-current": $props.activeIndex === index2 ? "page" : void 0,
+      onClick: /* @__PURE__ */ __name(function onClick3($event) {
+        return $options.onItemClick(index2);
+      }, "onClick"),
+      ref_for: true
+    }, _ctx.ptm("thumbnail")), [$props.templates.thumbnail ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.thumbnail), {
+      key: 0,
+      item: item2
+    }, null, 8, ["item"])) : createCommentVNode("", true)], 16, _hoisted_3$1$1)], 16, _hoisted_2$1$1);
+  }), 128))], 16)], 16), $props.showThumbnailNavigators ? withDirectives((openBlock(), createElementBlock("button", mergeProps({
+    key: 1,
+    "class": _ctx.cx("nextThumbnailButton"),
+    disabled: $options.isNavForwardDisabled(),
+    type: "button",
+    "aria-label": $options.ariaNextButtonLabel,
+    onClick: _cache[5] || (_cache[5] = function($event) {
+      return $options.navForward($event);
+    })
+  }, _objectSpread$2$1(_objectSpread$2$1({}, $props.nextButtonProps), _ctx.ptm("nextThumbnailButton")), {
+    "data-pc-group-section": "thumbnailnavigator"
+  }), [(openBlock(), createBlock(resolveDynamicComponent($props.templates.nextthumbnailicon || ($props.isVertical ? "ChevronDownIcon" : "ChevronRightIcon")), mergeProps({
+    "class": _ctx.cx("nextThumbnailIcon")
+  }, _ctx.ptm("nextThumbnailIcon")), null, 16, ["class"]))], 16, _hoisted_4$2)), [[_directive_ripple]]) : createCommentVNode("", true)], 16)], 16);
+}
+__name(render$2$1, "render$2$1");
+script$2$2.render = render$2$1;
+function _typeof$1$2(o) {
+  "@babel/helpers - typeof";
+  return _typeof$1$2 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$1$2(o);
+}
+__name(_typeof$1$2, "_typeof$1$2");
+function ownKeys$1$2(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$1$2, "ownKeys$1$2");
+function _objectSpread$1$2(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$1$2(Object(t), true).forEach(function(r2) {
+      _defineProperty$1$2(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$1$2(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$1$2, "_objectSpread$1$2");
+function _defineProperty$1$2(e, r, t) {
+  return (r = _toPropertyKey$1$2(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$1$2, "_defineProperty$1$2");
+function _toPropertyKey$1$2(t) {
+  var i2 = _toPrimitive$1$2(t, "string");
+  return "symbol" == _typeof$1$2(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$1$2, "_toPropertyKey$1$2");
+function _toPrimitive$1$2(t, r) {
+  if ("object" != _typeof$1$2(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$1$2(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$1$2, "_toPrimitive$1$2");
+var script$1$6 = {
+  name: "GalleriaContent",
+  hostName: "Galleria",
+  "extends": script$X,
+  inheritAttrs: false,
+  interval: null,
+  emits: ["activeitem-change", "mask-hide"],
+  data: /* @__PURE__ */ __name(function data17() {
+    return {
+      id: this.$attrs.id || UniqueComponentId(),
+      activeIndex: this.$attrs.activeIndex,
+      numVisible: this.$attrs.numVisible,
+      slideShowActive: false
+    };
+  }, "data"),
+  watch: {
+    "$attrs.id": /* @__PURE__ */ __name(function $attrsId8(newValue) {
+      this.id = newValue || UniqueComponentId();
+    }, "$attrsId"),
+    "$attrs.value": /* @__PURE__ */ __name(function $attrsValue(newVal) {
+      if (newVal && newVal.length < this.numVisible) {
+        this.numVisible = newVal.length;
+      }
+    }, "$attrsValue"),
+    "$attrs.activeIndex": /* @__PURE__ */ __name(function $attrsActiveIndex(newVal) {
+      this.activeIndex = newVal;
+    }, "$attrsActiveIndex"),
+    "$attrs.numVisible": /* @__PURE__ */ __name(function $attrsNumVisible(newVal) {
+      this.numVisible = newVal;
+    }, "$attrsNumVisible"),
+    "$attrs.autoPlay": /* @__PURE__ */ __name(function $attrsAutoPlay(newVal) {
+      newVal ? this.startSlideShow() : this.stopSlideShow();
+    }, "$attrsAutoPlay")
+  },
+  mounted: /* @__PURE__ */ __name(function mounted17() {
+    this.id = this.id || UniqueComponentId();
+  }, "mounted"),
+  updated: /* @__PURE__ */ __name(function updated10() {
+    this.$emit("activeitem-change", this.activeIndex);
+  }, "updated"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount11() {
+    if (this.slideShowActive) {
+      this.stopSlideShow();
+    }
+  }, "beforeUnmount"),
+  methods: {
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions11(key) {
+      return this.ptm(key, {
+        props: _objectSpread$1$2(_objectSpread$1$2({}, this.$attrs), {}, {
+          pt: this.pt,
+          unstyled: this.unstyled
+        })
+      });
+    }, "getPTOptions"),
+    isAutoPlayActive: /* @__PURE__ */ __name(function isAutoPlayActive() {
+      return this.slideShowActive;
+    }, "isAutoPlayActive"),
+    startSlideShow: /* @__PURE__ */ __name(function startSlideShow() {
+      var _this = this;
+      this.interval = setInterval(function() {
+        var activeIndex2 = _this.$attrs.circular && _this.$attrs.value.length - 1 === _this.activeIndex ? 0 : _this.activeIndex + 1;
+        _this.activeIndex = activeIndex2;
+      }, this.$attrs.transitionInterval);
+      this.slideShowActive = true;
+    }, "startSlideShow"),
+    stopSlideShow: /* @__PURE__ */ __name(function stopSlideShow3() {
+      if (this.interval) {
+        clearInterval(this.interval);
+      }
+      this.slideShowActive = false;
+    }, "stopSlideShow"),
+    getPositionClass: /* @__PURE__ */ __name(function getPositionClass(preClassName, position2) {
+      var positions = ["top", "left", "bottom", "right"];
+      var pos2 = positions.find(function(item2) {
+        return item2 === position2;
+      });
+      return pos2 ? "".concat(preClassName, "-").concat(pos2) : "";
+    }, "getPositionClass"),
+    isVertical: /* @__PURE__ */ __name(function isVertical3() {
+      return this.$attrs.thumbnailsPosition === "left" || this.$attrs.thumbnailsPosition === "right";
+    }, "isVertical")
+  },
+  computed: {
+    closeAriaLabel: /* @__PURE__ */ __name(function closeAriaLabel2() {
+      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.close : void 0;
+    }, "closeAriaLabel")
+  },
+  components: {
+    GalleriaItem: script$3$1,
+    GalleriaThumbnails: script$2$2,
+    TimesIcon: script$A
+  },
+  directives: {
+    ripple: Ripple
+  }
+};
+function _typeof$4(o) {
+  "@babel/helpers - typeof";
+  return _typeof$4 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$4(o);
+}
+__name(_typeof$4, "_typeof$4");
+function ownKeys$3(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$3, "ownKeys$3");
+function _objectSpread$3(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$3(Object(t), true).forEach(function(r2) {
+      _defineProperty$4(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$3(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$3, "_objectSpread$3");
+function _defineProperty$4(e, r, t) {
+  return (r = _toPropertyKey$4(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$4, "_defineProperty$4");
+function _toPropertyKey$4(t) {
+  var i2 = _toPrimitive$4(t, "string");
+  return "symbol" == _typeof$4(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$4, "_toPropertyKey$4");
+function _toPrimitive$4(t, r) {
+  if ("object" != _typeof$4(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$4(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$4, "_toPrimitive$4");
+var _hoisted_1$1$2 = ["id", "aria-label", "aria-roledescription"];
+var _hoisted_2$9 = ["aria-label"];
+var _hoisted_3$4 = ["aria-live"];
+function render$1$2(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_GalleriaItem = resolveComponent("GalleriaItem");
+  var _component_GalleriaThumbnails = resolveComponent("GalleriaThumbnails");
+  var _directive_ripple = resolveDirective("ripple");
+  return _ctx.$attrs.value && _ctx.$attrs.value.length > 0 ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 0,
+    id: $data.id,
+    role: "region",
+    "class": [_ctx.cx("root"), _ctx.$attrs.containerClass],
+    style: _ctx.$attrs.containerStyle,
+    "aria-label": _ctx.$attrs.ariaLabel,
+    "aria-roledescription": _ctx.$attrs.ariaRoledescription
+  }, _objectSpread$3(_objectSpread$3({}, _ctx.$attrs.containerProps), $options.getPTOptions("root"))), [_ctx.$attrs.fullScreen ? withDirectives((openBlock(), createElementBlock("button", mergeProps({
+    key: 0,
+    autofocus: "",
+    type: "button",
+    "class": _ctx.cx("closeButton"),
+    "aria-label": $options.closeAriaLabel,
+    onClick: _cache[0] || (_cache[0] = function($event) {
+      return _ctx.$emit("mask-hide");
+    })
+  }, $options.getPTOptions("closeButton")), [(openBlock(), createBlock(resolveDynamicComponent(_ctx.$attrs.templates["closeicon"] || "TimesIcon"), mergeProps({
+    "class": _ctx.cx("closeIcon")
+  }, $options.getPTOptions("closeIcon")), null, 16, ["class"]))], 16, _hoisted_2$9)), [[_directive_ripple]]) : createCommentVNode("", true), _ctx.$attrs.templates && _ctx.$attrs.templates["header"] ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 1,
+    "class": _ctx.cx("header")
+  }, $options.getPTOptions("header")), [(openBlock(), createBlock(resolveDynamicComponent(_ctx.$attrs.templates["header"])))], 16)) : createCommentVNode("", true), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("content"),
+    "aria-live": _ctx.$attrs.autoPlay ? "polite" : "off"
+  }, $options.getPTOptions("content")), [createVNode(_component_GalleriaItem, {
+    id: $data.id,
+    activeIndex: $data.activeIndex,
+    "onUpdate:activeIndex": _cache[1] || (_cache[1] = function($event) {
+      return $data.activeIndex = $event;
+    }),
+    slideShowActive: $data.slideShowActive,
+    "onUpdate:slideShowActive": _cache[2] || (_cache[2] = function($event) {
+      return $data.slideShowActive = $event;
+    }),
+    value: _ctx.$attrs.value,
+    circular: _ctx.$attrs.circular,
+    templates: _ctx.$attrs.templates,
+    showIndicators: _ctx.$attrs.showIndicators,
+    changeItemOnIndicatorHover: _ctx.$attrs.changeItemOnIndicatorHover,
+    showItemNavigators: _ctx.$attrs.showItemNavigators,
+    autoPlay: _ctx.$attrs.autoPlay,
+    onStartSlideshow: $options.startSlideShow,
+    onStopSlideshow: $options.stopSlideShow,
+    pt: _ctx.pt,
+    unstyled: _ctx.unstyled
+  }, null, 8, ["id", "activeIndex", "slideShowActive", "value", "circular", "templates", "showIndicators", "changeItemOnIndicatorHover", "showItemNavigators", "autoPlay", "onStartSlideshow", "onStopSlideshow", "pt", "unstyled"]), _ctx.$attrs.showThumbnails ? (openBlock(), createBlock(_component_GalleriaThumbnails, {
+    key: 0,
+    activeIndex: $data.activeIndex,
+    "onUpdate:activeIndex": _cache[3] || (_cache[3] = function($event) {
+      return $data.activeIndex = $event;
+    }),
+    slideShowActive: $data.slideShowActive,
+    "onUpdate:slideShowActive": _cache[4] || (_cache[4] = function($event) {
+      return $data.slideShowActive = $event;
+    }),
+    containerId: $data.id,
+    value: _ctx.$attrs.value,
+    templates: _ctx.$attrs.templates,
+    numVisible: $data.numVisible,
+    responsiveOptions: _ctx.$attrs.responsiveOptions,
+    circular: _ctx.$attrs.circular,
+    isVertical: $options.isVertical(),
+    contentHeight: _ctx.$attrs.verticalThumbnailViewPortHeight,
+    showThumbnailNavigators: _ctx.$attrs.showThumbnailNavigators,
+    prevButtonProps: _ctx.$attrs.prevButtonProps,
+    nextButtonProps: _ctx.$attrs.nextButtonProps,
+    onStopSlideshow: $options.stopSlideShow,
+    pt: _ctx.pt,
+    unstyled: _ctx.unstyled
+  }, null, 8, ["activeIndex", "slideShowActive", "containerId", "value", "templates", "numVisible", "responsiveOptions", "circular", "isVertical", "contentHeight", "showThumbnailNavigators", "prevButtonProps", "nextButtonProps", "onStopSlideshow", "pt", "unstyled"])) : createCommentVNode("", true)], 16, _hoisted_3$4), _ctx.$attrs.templates && _ctx.$attrs.templates["footer"] ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 2,
+    "class": _ctx.cx("footer")
+  }, $options.getPTOptions("footer")), [(openBlock(), createBlock(resolveDynamicComponent(_ctx.$attrs.templates["footer"])))], 16)) : createCommentVNode("", true)], 16, _hoisted_1$1$2)) : createCommentVNode("", true);
+}
+__name(render$1$2, "render$1$2");
+script$1$6.render = render$1$2;
+var script$b = {
+  name: "Galleria",
+  "extends": script$4$1,
+  inheritAttrs: false,
+  emits: ["update:activeIndex", "update:visible"],
+  container: null,
+  mask: null,
+  data: /* @__PURE__ */ __name(function data18() {
+    return {
+      containerVisible: this.visible
+    };
+  }, "data"),
+  updated: /* @__PURE__ */ __name(function updated11() {
+    if (this.fullScreen && this.visible) {
+      this.containerVisible = this.visible;
+    }
+  }, "updated"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount12() {
+    if (this.fullScreen) {
+      unblockBodyScroll();
+    }
+    this.mask = null;
+    if (this.container) {
+      ZIndex.clear(this.container);
+      this.container = null;
+    }
+  }, "beforeUnmount"),
+  methods: {
+    onBeforeEnter: /* @__PURE__ */ __name(function onBeforeEnter2(el) {
+      ZIndex.set("modal", el, this.baseZIndex || this.$primevue.config.zIndex.modal);
+    }, "onBeforeEnter"),
+    onEnter: /* @__PURE__ */ __name(function onEnter5(el) {
+      this.mask.style.zIndex = String(parseInt(el.style.zIndex, 10) - 1);
+      blockBodyScroll();
+      this.focus();
+    }, "onEnter"),
+    onBeforeLeave: /* @__PURE__ */ __name(function onBeforeLeave2() {
+      !this.isUnstyled && addClass(this.mask, "p-overlay-mask-leave");
+    }, "onBeforeLeave"),
+    onAfterLeave: /* @__PURE__ */ __name(function onAfterLeave4(el) {
+      ZIndex.clear(el);
+      this.containerVisible = false;
+      unblockBodyScroll();
+    }, "onAfterLeave"),
+    onActiveItemChange: /* @__PURE__ */ __name(function onActiveItemChange(index2) {
+      if (this.activeIndex !== index2) {
+        this.$emit("update:activeIndex", index2);
+      }
+    }, "onActiveItemChange"),
+    maskHide: /* @__PURE__ */ __name(function maskHide() {
+      this.$emit("update:visible", false);
+    }, "maskHide"),
+    containerRef: /* @__PURE__ */ __name(function containerRef4(el) {
+      this.container = el;
+    }, "containerRef"),
+    maskRef: /* @__PURE__ */ __name(function maskRef2(el) {
+      this.mask = el;
+    }, "maskRef"),
+    focus: /* @__PURE__ */ __name(function focus3() {
+      var focusTarget = this.container.$el.querySelector("[autofocus]");
+      if (focusTarget) {
+        focusTarget.focus();
+      }
+    }, "focus")
+  },
+  components: {
+    GalleriaContent: script$1$6,
+    Portal: script$z
+  },
+  directives: {
+    focustrap: FocusTrap
+  }
+};
+var _hoisted_1$f = ["aria-modal"];
+function render$a(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_GalleriaContent = resolveComponent("GalleriaContent");
+  var _component_Portal = resolveComponent("Portal");
+  var _directive_focustrap = resolveDirective("focustrap");
+  return _ctx.fullScreen ? (openBlock(), createBlock(_component_Portal, {
+    key: 0
+  }, {
+    "default": withCtx(function() {
+      return [$data.containerVisible ? (openBlock(), createElementBlock("div", mergeProps({
+        key: 0,
+        ref: $options.maskRef,
+        "class": [_ctx.cx("mask"), _ctx.maskClass],
+        role: "dialog",
+        "aria-modal": _ctx.fullScreen ? "true" : void 0
+      }, _ctx.ptm("mask")), [createVNode(Transition, mergeProps({
+        name: "p-galleria",
+        onBeforeEnter: $options.onBeforeEnter,
+        onEnter: $options.onEnter,
+        onBeforeLeave: $options.onBeforeLeave,
+        onAfterLeave: $options.onAfterLeave,
+        appear: ""
+      }, _ctx.ptm("transition")), {
+        "default": withCtx(function() {
+          return [_ctx.visible ? withDirectives((openBlock(), createBlock(_component_GalleriaContent, mergeProps({
+            key: 0,
+            ref: $options.containerRef,
+            onMaskHide: $options.maskHide,
+            templates: _ctx.$slots,
+            onActiveitemChange: $options.onActiveItemChange,
+            pt: _ctx.pt,
+            unstyled: _ctx.unstyled
+          }, _ctx.$props), null, 16, ["onMaskHide", "templates", "onActiveitemChange", "pt", "unstyled"])), [[_directive_focustrap]]) : createCommentVNode("", true)];
+        }),
+        _: 1
+      }, 16, ["onBeforeEnter", "onEnter", "onBeforeLeave", "onAfterLeave"])], 16, _hoisted_1$f)) : createCommentVNode("", true)];
+    }),
+    _: 1
+  })) : (openBlock(), createBlock(_component_GalleriaContent, mergeProps({
+    key: 1,
+    templates: _ctx.$slots,
+    onActiveitemChange: $options.onActiveItemChange,
+    pt: _ctx.pt,
+    unstyled: _ctx.unstyled
+  }, _ctx.$props), null, 16, ["templates", "onActiveitemChange", "pt", "unstyled"]));
+}
+__name(render$a, "render$a");
+script$b.render = render$a;
+const _sfc_main$9 = /* @__PURE__ */ defineComponent({
+  __name: "ResultGallery",
+  props: {
+    allGalleryItems: {},
+    activeIndex: {}
+  },
+  emits: ["update:activeIndex"],
+  setup(__props, { emit: __emit }) {
+    const galleryVisible = ref(false);
+    const emit2 = __emit;
+    const props = __props;
+    watch(
+      () => props.activeIndex,
+      (index2) => {
+        if (index2 !== -1) {
+          galleryVisible.value = true;
+        }
+      }
+    );
+    const handleVisibilityChange = /* @__PURE__ */ __name((visible) => {
+      if (!visible) {
+        emit2("update:activeIndex", -1);
+      }
+    }, "handleVisibilityChange");
+    const handleActiveIndexChange = /* @__PURE__ */ __name((index2) => {
+      emit2("update:activeIndex", index2);
+    }, "handleActiveIndexChange");
+    const handleKeyDown = /* @__PURE__ */ __name((event2) => {
+      if (!galleryVisible.value) return;
+      switch (event2.key) {
+        case "ArrowLeft":
+          navigateImage(-1);
+          break;
+        case "ArrowRight":
+          navigateImage(1);
+          break;
+        case "Escape":
+          galleryVisible.value = false;
+          handleVisibilityChange(false);
+          break;
+      }
+    }, "handleKeyDown");
+    const navigateImage = /* @__PURE__ */ __name((direction) => {
+      const newIndex = (props.activeIndex + direction + props.allGalleryItems.length) % props.allGalleryItems.length;
+      emit2("update:activeIndex", newIndex);
+    }, "navigateImage");
+    onMounted(() => {
+      window.addEventListener("keydown", handleKeyDown);
+    });
+    onUnmounted(() => {
+      window.removeEventListener("keydown", handleKeyDown);
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createBlock(unref(script$b), {
+        visible: galleryVisible.value,
+        "onUpdate:visible": [
+          _cache[0] || (_cache[0] = ($event) => galleryVisible.value = $event),
+          handleVisibilityChange
+        ],
+        activeIndex: _ctx.activeIndex,
+        "onUpdate:activeIndex": handleActiveIndexChange,
+        value: _ctx.allGalleryItems,
+        showIndicators: false,
+        changeItemOnIndicatorHover: "",
+        showItemNavigators: "",
+        fullScreen: "",
+        circular: "",
+        showThumbnails: false
+      }, {
+        item: withCtx(({ item: item2 }) => [
+          (openBlock(), createBlock(ComfyImage, {
+            key: item2.url,
+            src: item2.url,
+            contain: false,
+            class: "galleria-image"
+          }, null, 8, ["src"]))
+        ]),
+        _: 1
+      }, 8, ["visible", "activeIndex", "value"]);
+    };
+  }
+});
+var theme$5 = /* @__PURE__ */ __name(function theme32(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-toolbar {\n    display: flex;\n    align-items: center;\n    justify-content: space-between;\n    flex-wrap: wrap;\n    padding: ".concat(dt3("toolbar.padding"), ";\n    background: ").concat(dt3("toolbar.background"), ";\n    border: 1px solid ").concat(dt3("toolbar.border.color"), ";\n    color: ").concat(dt3("toolbar.color"), ";\n    border-radius: ").concat(dt3("toolbar.border.radius"), ";\n    gap: ").concat(dt3("toolbar.gap"), ";\n}\n\n.p-toolbar-start,\n.p-toolbar-center,\n.p-toolbar-end {\n    display: flex;\n    align-items: center;\n}\n");
+}, "theme");
+var classes$5 = {
+  root: "p-toolbar p-component",
+  start: "p-toolbar-start",
+  center: "p-toolbar-center",
+  end: "p-toolbar-end"
+};
+var ToolbarStyle = BaseStyle.extend({
+  name: "toolbar",
+  theme: theme$5,
+  classes: classes$5
+});
+var script$1$5 = {
+  name: "BaseToolbar",
+  "extends": script$X,
+  props: {
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    }
+  },
+  style: ToolbarStyle,
+  provide: /* @__PURE__ */ __name(function provide35() {
+    return {
+      $pcToolbar: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$a = {
+  name: "Toolbar",
+  "extends": script$1$5,
+  inheritAttrs: false
+};
+var _hoisted_1$e = ["aria-labelledby"];
+function render$9(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root"),
+    role: "toolbar",
+    "aria-labelledby": _ctx.ariaLabelledby
+  }, _ctx.ptmi("root")), [createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("start")
+  }, _ctx.ptm("start")), [renderSlot(_ctx.$slots, "start")], 16), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("center")
+  }, _ctx.ptm("center")), [renderSlot(_ctx.$slots, "center")], 16), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("end")
+  }, _ctx.ptm("end")), [renderSlot(_ctx.$slots, "end")], 16)], 16, _hoisted_1$e);
+}
+__name(render$9, "render$9");
+script$a.render = render$9;
+const _withScopeId$4 = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-1b0a8fe3"), n = n(), popScopeId(), n), "_withScopeId$4");
+const _hoisted_1$d = { class: "comfy-vue-side-bar-container" };
+const _hoisted_2$8 = { class: "comfy-vue-side-bar-header-span" };
+const _hoisted_3$3 = { class: "comfy-vue-side-bar-body" };
+const _sfc_main$8 = /* @__PURE__ */ defineComponent({
+  __name: "SidebarTabTemplate",
+  props: {
+    title: {
+      type: String,
+      required: true
+    }
+  },
+  setup(__props) {
+    const props = __props;
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", _hoisted_1$d, [
+        createVNode(unref(script$a), { class: "comfy-vue-side-bar-header" }, {
+          start: withCtx(() => [
+            createBaseVNode("span", _hoisted_2$8, toDisplayString$1(props.title.toUpperCase()), 1)
+          ]),
+          end: withCtx(() => [
+            renderSlot(_ctx.$slots, "tool-buttons", {}, void 0, true)
+          ]),
+          _: 3
+        }),
+        createBaseVNode("div", _hoisted_3$3, [
+          renderSlot(_ctx.$slots, "body", {}, void 0, true)
+        ])
+      ]);
+    };
+  }
+});
+const SidebarTabTemplate = /* @__PURE__ */ _export_sfc(_sfc_main$8, [["__scopeId", "data-v-1b0a8fe3"]]);
+const _withScopeId$3 = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-3cc33869"), n = n(), popScopeId(), n), "_withScopeId$3");
+const _hoisted_1$c = { class: "queue-grid" };
+const _hoisted_2$7 = { key: 1 };
+const _hoisted_3$2 = { key: 2 };
+const IMAGE_FIT = "Comfy.Queue.ImageFit";
+const ITEMS_PER_PAGE = 8;
+const SCROLL_THRESHOLD = 100;
+const _sfc_main$7 = /* @__PURE__ */ defineComponent({
+  __name: "QueueSidebarTab",
+  setup(__props) {
+    const confirm2 = useConfirm();
+    const toast = useToast();
+    const queueStore = useQueueStore();
+    const settingStore = useSettingStore();
+    const { t } = useI18n();
+    const isExpanded = ref(false);
+    const visibleTasks = ref([]);
+    const scrollContainer = ref(null);
+    const loadMoreTrigger = ref(null);
+    const galleryActiveIndex = ref(-1);
+    const folderTask = ref(null);
+    const isInFolderView = computed(() => folderTask.value !== null);
+    const imageFit = computed(() => settingStore.get(IMAGE_FIT));
+    const allTasks = computed(
+      () => isInFolderView.value ? folderTask.value ? folderTask.value.flatten() : [] : isExpanded.value ? queueStore.flatTasks : queueStore.tasks
+    );
+    const allGalleryItems = computed(
+      () => allTasks.value.flatMap((task) => {
+        const previewOutput = task.previewOutput;
+        return previewOutput ? [previewOutput] : [];
+      })
+    );
+    const loadMoreItems = /* @__PURE__ */ __name(() => {
+      const currentLength = visibleTasks.value.length;
+      const newTasks = allTasks.value.slice(
+        currentLength,
+        currentLength + ITEMS_PER_PAGE
+      );
+      visibleTasks.value.push(...newTasks);
+    }, "loadMoreItems");
+    const checkAndLoadMore = /* @__PURE__ */ __name(() => {
+      if (!scrollContainer.value) return;
+      const { scrollHeight: scrollHeight2, scrollTop: scrollTop2, clientHeight } = scrollContainer.value;
+      if (scrollHeight2 - scrollTop2 - clientHeight < SCROLL_THRESHOLD) {
+        loadMoreItems();
+      }
+    }, "checkAndLoadMore");
+    useInfiniteScroll(
+      scrollContainer,
+      () => {
+        if (visibleTasks.value.length < allTasks.value.length) {
+          loadMoreItems();
+        }
+      },
+      { distance: SCROLL_THRESHOLD }
+    );
+    useResizeObserver(scrollContainer, () => {
+      nextTick(() => {
+        checkAndLoadMore();
+      });
+    });
+    const updateVisibleTasks = /* @__PURE__ */ __name(() => {
+      visibleTasks.value = allTasks.value.slice(0, ITEMS_PER_PAGE);
+    }, "updateVisibleTasks");
+    const toggleExpanded = /* @__PURE__ */ __name(() => {
+      isExpanded.value = !isExpanded.value;
+      updateVisibleTasks();
+    }, "toggleExpanded");
+    const removeTask = /* @__PURE__ */ __name((task) => {
+      if (task.isRunning) {
+        api.interrupt();
+      }
+      queueStore.delete(task);
+    }, "removeTask");
+    const removeAllTasks = /* @__PURE__ */ __name(async () => {
+      await queueStore.clear();
+    }, "removeAllTasks");
+    const confirmRemoveAll = /* @__PURE__ */ __name((event2) => {
+      confirm2.require({
+        target: event2.currentTarget,
+        message: "Do you want to delete all tasks?",
+        icon: "pi pi-info-circle",
+        rejectProps: {
+          label: "Cancel",
+          severity: "secondary",
+          outlined: true
+        },
+        acceptProps: {
+          label: "Delete",
+          severity: "danger"
+        },
+        accept: /* @__PURE__ */ __name(async () => {
+          await removeAllTasks();
+          toast.add({
+            severity: "info",
+            summary: "Confirmed",
+            detail: "Tasks deleted",
+            life: 3e3
+          });
+        }, "accept")
+      });
+    }, "confirmRemoveAll");
+    const onStatus = /* @__PURE__ */ __name(async () => {
+      await queueStore.update();
+      updateVisibleTasks();
+    }, "onStatus");
+    const menu = ref(null);
+    const menuTargetTask = ref(null);
+    const menuTargetNode = ref(null);
+    const menuItems = computed(() => [
+      {
+        label: t("delete"),
+        icon: "pi pi-trash",
+        command: /* @__PURE__ */ __name(() => menuTargetTask.value && removeTask(menuTargetTask.value), "command"),
+        disabled: isExpanded.value || isInFolderView.value
+      },
+      {
+        label: t("loadWorkflow"),
+        icon: "pi pi-file-export",
+        command: /* @__PURE__ */ __name(() => menuTargetTask.value?.loadWorkflow(), "command")
+      },
+      {
+        label: t("goToNode"),
+        icon: "pi pi-arrow-circle-right",
+        command: /* @__PURE__ */ __name(() => app$1.goToNode(menuTargetNode.value?.id), "command"),
+        visible: !!menuTargetNode.value
+      }
+    ]);
+    const handleContextMenu = /* @__PURE__ */ __name(({
+      task,
+      event: event2,
+      node: node3
+    }) => {
+      menuTargetTask.value = task;
+      menuTargetNode.value = node3;
+      menu.value?.show(event2);
+    }, "handleContextMenu");
+    const handlePreview = /* @__PURE__ */ __name((task) => {
+      galleryActiveIndex.value = allGalleryItems.value.findIndex(
+        (item2) => item2.url === task.previewOutput?.url
+      );
+    }, "handlePreview");
+    const enterFolderView = /* @__PURE__ */ __name((task) => {
+      folderTask.value = task;
+      updateVisibleTasks();
+    }, "enterFolderView");
+    const exitFolderView = /* @__PURE__ */ __name(() => {
+      folderTask.value = null;
+      updateVisibleTasks();
+    }, "exitFolderView");
+    const toggleImageFit = /* @__PURE__ */ __name(() => {
+      settingStore.set(IMAGE_FIT, imageFit.value === "cover" ? "contain" : "cover");
+    }, "toggleImageFit");
+    onMounted(() => {
+      api.addEventListener("status", onStatus);
+      queueStore.update();
+    });
+    onUnmounted(() => {
+      api.removeEventListener("status", onStatus);
+    });
+    watch(
+      allTasks,
+      (newTasks) => {
+        if (visibleTasks.value.length === 0 || visibleTasks.value.length > newTasks.length) {
+          updateVisibleTasks();
+        }
+        nextTick(() => {
+          checkAndLoadMore();
+        });
+      },
+      { immediate: true }
+    );
+    return (_ctx, _cache) => {
+      const _directive_tooltip = resolveDirective("tooltip");
+      return openBlock(), createElementBlock(Fragment, null, [
+        createVNode(SidebarTabTemplate, {
+          title: _ctx.$t("sideToolbar.queue")
+        }, {
+          "tool-buttons": withCtx(() => [
+            withDirectives(createVNode(unref(script$J), {
+              icon: imageFit.value === "cover" ? "pi pi-arrow-down-left-and-arrow-up-right-to-center" : "pi pi-arrow-up-right-and-arrow-down-left-from-center",
+              text: "",
+              severity: "secondary",
+              onClick: toggleImageFit,
+              class: "toggle-expanded-button"
+            }, null, 8, ["icon"]), [
+              [_directive_tooltip, _ctx.$t(`sideToolbar.queueTab.${imageFit.value}ImagePreview`)]
+            ]),
+            isInFolderView.value ? withDirectives((openBlock(), createBlock(unref(script$J), {
+              key: 0,
+              icon: "pi pi-arrow-left",
+              text: "",
+              severity: "secondary",
+              onClick: exitFolderView,
+              class: "back-button"
+            }, null, 512)), [
+              [_directive_tooltip, _ctx.$t("sideToolbar.queueTab.backToAllTasks")]
+            ]) : (openBlock(), createElementBlock(Fragment, { key: 1 }, [
+              withDirectives(createVNode(unref(script$J), {
+                icon: isExpanded.value ? "pi pi-images" : "pi pi-image",
+                text: "",
+                severity: "secondary",
+                onClick: toggleExpanded,
+                class: "toggle-expanded-button"
+              }, null, 8, ["icon"]), [
+                [_directive_tooltip, _ctx.$t("sideToolbar.queueTab.showFlatList")]
+              ]),
+              createVNode(unref(script$J), {
+                icon: "pi pi-trash",
+                text: "",
+                severity: "primary",
+                onClick: _cache[0] || (_cache[0] = ($event) => confirmRemoveAll($event)),
+                class: "clear-all-button"
+              })
+            ], 64))
+          ]),
+          body: withCtx(() => [
+            visibleTasks.value.length > 0 ? (openBlock(), createElementBlock("div", {
+              key: 0,
+              ref_key: "scrollContainer",
+              ref: scrollContainer,
+              class: "scroll-container"
+            }, [
+              createBaseVNode("div", _hoisted_1$c, [
+                (openBlock(true), createElementBlock(Fragment, null, renderList(visibleTasks.value, (task) => {
+                  return openBlock(), createBlock(TaskItem, {
+                    key: task.key,
+                    task,
+                    isFlatTask: isExpanded.value || isInFolderView.value,
+                    onContextmenu: handleContextMenu,
+                    onPreview: handlePreview,
+                    onTaskOutputLengthClicked: _cache[1] || (_cache[1] = ($event) => enterFolderView($event))
+                  }, null, 8, ["task", "isFlatTask"]);
+                }), 128))
+              ]),
+              createBaseVNode("div", {
+                ref_key: "loadMoreTrigger",
+                ref: loadMoreTrigger,
+                style: { "height": "1px" }
+              }, null, 512)
+            ], 512)) : unref(queueStore).isLoading ? (openBlock(), createElementBlock("div", _hoisted_2$7, [
+              createVNode(unref(script$V), { style: { "width": "50px", "left": "50%", "transform": "translateX(-50%)" } })
+            ])) : (openBlock(), createElementBlock("div", _hoisted_3$2, [
+              createVNode(NoResultsPlaceholder, {
+                icon: "pi pi-info-circle",
+                title: _ctx.$t("noTasksFound"),
+                message: _ctx.$t("noTasksFoundMessage")
+              }, null, 8, ["title", "message"])
+            ]))
+          ]),
+          _: 1
+        }, 8, ["title"]),
+        createVNode(unref(script$h)),
+        createVNode(unref(script$f), {
+          ref_key: "menu",
+          ref: menu,
+          model: menuItems.value
+        }, null, 8, ["model"]),
+        createVNode(_sfc_main$9, {
+          activeIndex: galleryActiveIndex.value,
+          "onUpdate:activeIndex": _cache[2] || (_cache[2] = ($event) => galleryActiveIndex.value = $event),
+          allGalleryItems: allGalleryItems.value
+        }, null, 8, ["activeIndex", "allGalleryItems"])
+      ], 64);
+    };
+  }
+});
+const QueueSidebarTab = /* @__PURE__ */ _export_sfc(_sfc_main$7, [["__scopeId", "data-v-3cc33869"]]);
+const useNodeBookmarkStore = defineStore("nodeBookmark", () => {
+  const settingStore = useSettingStore();
+  const nodeDefStore = useNodeDefStore();
+  const bookmarks = computed(
+    () => settingStore.get("Comfy.NodeLibrary.Bookmarks")
+  );
+  const bookmarksSet = computed(() => new Set(bookmarks.value));
+  const bookmarkedRoot = computed(
+    () => buildBookmarkTree(bookmarks.value)
+  );
+  const isBookmarked = /* @__PURE__ */ __name((node3) => bookmarksSet.value.has(node3.nodePath) || bookmarksSet.value.has(node3.display_name), "isBookmarked");
+  const toggleBookmark = /* @__PURE__ */ __name((node3) => {
+    if (isBookmarked(node3)) {
+      deleteBookmark(node3.nodePath);
+      deleteBookmark(node3.display_name);
+    } else {
+      addBookmark(node3.display_name);
+    }
+  }, "toggleBookmark");
+  const buildBookmarkTree = /* @__PURE__ */ __name((bookmarks2) => {
+    const bookmarkNodes = bookmarks2.map((bookmark) => {
+      if (bookmark.endsWith("/")) return createDummyFolderNodeDef(bookmark);
+      const parts2 = bookmark.split("/");
+      const displayName = parts2.pop();
+      const category = parts2.join("/");
+      const srcNodeDef = nodeDefStore.nodeDefsByDisplayName[displayName];
+      if (!srcNodeDef) {
+        return null;
+      }
+      const nodeDef = _.clone(srcNodeDef);
+      nodeDef.category = category;
+      return nodeDef;
+    }).filter((nodeDef) => nodeDef !== null);
+    return buildNodeDefTree(bookmarkNodes);
+  }, "buildBookmarkTree");
+  const addBookmark = /* @__PURE__ */ __name((nodePath) => {
+    settingStore.set("Comfy.NodeLibrary.Bookmarks", [
+      ...bookmarks.value,
+      nodePath
+    ]);
+  }, "addBookmark");
+  const deleteBookmark = /* @__PURE__ */ __name((nodePath) => {
+    settingStore.set(
+      "Comfy.NodeLibrary.Bookmarks",
+      bookmarks.value.filter((b) => b !== nodePath)
+    );
+  }, "deleteBookmark");
+  const addNewBookmarkFolder = /* @__PURE__ */ __name((parent) => {
+    const parentPath = parent ? parent.nodePath : "";
+    let newFolderPath = parentPath + "New Folder/";
+    let suffix2 = 1;
+    while (bookmarks.value.some((b) => b.startsWith(newFolderPath))) {
+      newFolderPath = parentPath + `New Folder ${suffix2}/`;
+      suffix2++;
+    }
+    addBookmark(newFolderPath);
+    return newFolderPath;
+  }, "addNewBookmarkFolder");
+  const renameBookmarkFolder = /* @__PURE__ */ __name((folderNode, newName) => {
+    if (!folderNode.isDummyFolder) {
+      throw new Error("Cannot rename non-folder node");
+    }
+    const newNodePath = folderNode.category.split("/").slice(0, -1).concat(newName).join("/") + "/";
+    if (newNodePath === folderNode.nodePath) {
+      return;
+    }
+    if (bookmarks.value.some((b) => b.startsWith(newNodePath))) {
+      throw new Error(`Folder name "${newNodePath}" already exists`);
+    }
+    settingStore.set(
+      "Comfy.NodeLibrary.Bookmarks",
+      bookmarks.value.map(
+        (b) => b.startsWith(folderNode.nodePath) ? b.replace(folderNode.nodePath, newNodePath) : b
+      )
+    );
+    renameBookmarkCustomization(folderNode.nodePath, newNodePath);
+  }, "renameBookmarkFolder");
+  const deleteBookmarkFolder = /* @__PURE__ */ __name((folderNode) => {
+    if (!folderNode.isDummyFolder) {
+      throw new Error("Cannot delete non-folder node");
+    }
+    settingStore.set(
+      "Comfy.NodeLibrary.Bookmarks",
+      bookmarks.value.filter(
+        (b) => b !== folderNode.nodePath && !b.startsWith(folderNode.nodePath)
+      )
+    );
+    deleteBookmarkCustomization(folderNode.nodePath);
+  }, "deleteBookmarkFolder");
+  const bookmarksCustomization = computed(() => settingStore.get("Comfy.NodeLibrary.BookmarksCustomization"));
+  const updateBookmarkCustomization = /* @__PURE__ */ __name((nodePath, customization) => {
+    const currentCustomization = bookmarksCustomization.value[nodePath] || {};
+    const newCustomization = { ...currentCustomization, ...customization };
+    if (newCustomization.icon === defaultBookmarkIcon) {
+      delete newCustomization.icon;
+    }
+    if (newCustomization.color === defaultBookmarkColor) {
+      delete newCustomization.color;
+    }
+    if (Object.keys(newCustomization).length === 0) {
+      deleteBookmarkCustomization(nodePath);
+    } else {
+      settingStore.set("Comfy.NodeLibrary.BookmarksCustomization", {
+        ...bookmarksCustomization.value,
+        [nodePath]: newCustomization
+      });
+    }
+  }, "updateBookmarkCustomization");
+  const deleteBookmarkCustomization = /* @__PURE__ */ __name((nodePath) => {
+    settingStore.set("Comfy.NodeLibrary.BookmarksCustomization", {
+      ...bookmarksCustomization.value,
+      [nodePath]: void 0
+    });
+  }, "deleteBookmarkCustomization");
+  const renameBookmarkCustomization = /* @__PURE__ */ __name((oldNodePath, newNodePath) => {
+    const updatedCustomization = { ...bookmarksCustomization.value };
+    if (updatedCustomization[oldNodePath]) {
+      updatedCustomization[newNodePath] = updatedCustomization[oldNodePath];
+      delete updatedCustomization[oldNodePath];
+    }
+    settingStore.set(
+      "Comfy.NodeLibrary.BookmarksCustomization",
+      updatedCustomization
+    );
+  }, "renameBookmarkCustomization");
+  const defaultBookmarkIcon = "pi-bookmark-fill";
+  const defaultBookmarkColor = "#a1a1aa";
+  return {
+    bookmarks,
+    bookmarkedRoot,
+    isBookmarked,
+    toggleBookmark,
+    addBookmark,
+    addNewBookmarkFolder,
+    renameBookmarkFolder,
+    deleteBookmarkFolder,
+    bookmarksCustomization,
+    updateBookmarkCustomization,
+    deleteBookmarkCustomization,
+    renameBookmarkCustomization,
+    defaultBookmarkIcon,
+    defaultBookmarkColor
+  };
+});
+var theme$4 = /* @__PURE__ */ __name(function theme33(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-popover {\n    margin-top: ".concat(dt3("popover.gutter"), ";\n    background: ").concat(dt3("popover.background"), ";\n    color: ").concat(dt3("popover.color"), ";\n    border: 1px solid ").concat(dt3("popover.border.color"), ";\n    border-radius: ").concat(dt3("popover.border.radius"), ";\n    box-shadow: ").concat(dt3("popover.shadow"), ";\n}\n\n.p-popover-content {\n    padding: ").concat(dt3("popover.content.padding"), ";\n}\n\n.p-popover-flipped {\n    margin-top: calc(").concat(dt3("popover.gutter"), " * -1);\n    margin-bottom: ").concat(dt3("popover.gutter"), ";\n}\n\n.p-popover-enter-from {\n    opacity: 0;\n    transform: scaleY(0.8);\n}\n\n.p-popover-leave-to {\n    opacity: 0;\n}\n\n.p-popover-enter-active {\n    transition: transform 0.12s cubic-bezier(0, 0, 0.2, 1), opacity 0.12s cubic-bezier(0, 0, 0.2, 1);\n}\n\n.p-popover-leave-active {\n    transition: opacity 0.1s linear;\n}\n\n.p-popover:after,\n.p-popover:before {\n    bottom: 100%;\n    left: ").concat(dt3("popover.arrow.offset"), ';\n    content: " ";\n    height: 0;\n    width: 0;\n    position: absolute;\n    pointer-events: none;\n}\n\n.p-popover:after {\n    border-width: calc(').concat(dt3("popover.gutter"), " - 2px);\n    margin-left: calc(-1 * (").concat(dt3("popover.gutter"), " - 2px));\n    border-style: solid;\n    border-color: transparent;\n    border-bottom-color: ").concat(dt3("popover.background"), ";\n}\n\n.p-popover:before {\n    border-width: ").concat(dt3("popover.gutter"), ";\n    margin-left: calc(-1 * ").concat(dt3("popover.gutter"), ");\n    border-style: solid;\n    border-color: transparent;\n    border-bottom-color: ").concat(dt3("popover.border.color"), ";\n}\n\n.p-popover-flipped:after,\n.p-popover-flipped:before {\n    bottom: auto;\n    top: 100%;\n}\n\n.p-popover.p-popover-flipped:after {\n    border-bottom-color: transparent;\n    border-top-color: ").concat(dt3("popover.background"), ";\n}\n\n.p-popover.p-popover-flipped:before {\n    border-bottom-color: transparent;\n    border-top-color: ").concat(dt3("popover.border.color"), ";\n}\n");
+}, "theme");
+var classes$4 = {
+  root: "p-popover p-component",
+  content: "p-popover-content"
+};
+var PopoverStyle = BaseStyle.extend({
+  name: "popover",
+  theme: theme$4,
+  classes: classes$4
+});
+var script$1$4 = {
+  name: "BasePopover",
+  "extends": script$X,
+  props: {
+    dismissable: {
+      type: Boolean,
+      "default": true
+    },
+    appendTo: {
+      type: [String, Object],
+      "default": "body"
+    },
+    baseZIndex: {
+      type: Number,
+      "default": 0
+    },
+    autoZIndex: {
+      type: Boolean,
+      "default": true
+    },
+    breakpoints: {
+      type: Object,
+      "default": null
+    },
+    closeOnEscape: {
+      type: Boolean,
+      "default": true
+    }
+  },
+  style: PopoverStyle,
+  provide: /* @__PURE__ */ __name(function provide36() {
+    return {
+      $pcPopover: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$9 = {
+  name: "Popover",
+  "extends": script$1$4,
+  inheritAttrs: false,
+  emits: ["show", "hide"],
+  data: /* @__PURE__ */ __name(function data19() {
+    return {
+      visible: false
+    };
+  }, "data"),
+  watch: {
+    dismissable: {
+      immediate: true,
+      handler: /* @__PURE__ */ __name(function handler4(newValue) {
+        if (newValue) {
+          this.bindOutsideClickListener();
+        } else {
+          this.unbindOutsideClickListener();
+        }
+      }, "handler")
+    }
+  },
+  selfClick: false,
+  target: null,
+  eventTarget: null,
+  outsideClickListener: null,
+  scrollHandler: null,
+  resizeListener: null,
+  container: null,
+  styleElement: null,
+  overlayEventListener: null,
+  documentKeydownListener: null,
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount13() {
+    if (this.dismissable) {
+      this.unbindOutsideClickListener();
+    }
+    if (this.scrollHandler) {
+      this.scrollHandler.destroy();
+      this.scrollHandler = null;
+    }
+    this.destroyStyle();
+    this.unbindResizeListener();
+    this.target = null;
+    if (this.container && this.autoZIndex) {
+      ZIndex.clear(this.container);
+    }
+    if (this.overlayEventListener) {
+      OverlayEventBus.off("overlay-click", this.overlayEventListener);
+      this.overlayEventListener = null;
+    }
+    this.container = null;
+  }, "beforeUnmount"),
+  mounted: /* @__PURE__ */ __name(function mounted18() {
+    if (this.breakpoints) {
+      this.createStyle();
+    }
+  }, "mounted"),
+  methods: {
+    toggle: /* @__PURE__ */ __name(function toggle2(event2, target) {
+      if (this.visible) this.hide();
+      else this.show(event2, target);
+    }, "toggle"),
+    show: /* @__PURE__ */ __name(function show5(event2, target) {
+      this.visible = true;
+      this.eventTarget = event2.currentTarget;
+      this.target = target || event2.currentTarget;
+    }, "show"),
+    hide: /* @__PURE__ */ __name(function hide5() {
+      this.visible = false;
+    }, "hide"),
+    onContentClick: /* @__PURE__ */ __name(function onContentClick() {
+      this.selfClick = true;
+    }, "onContentClick"),
+    onEnter: /* @__PURE__ */ __name(function onEnter6(el) {
+      var _this = this;
+      this.container.setAttribute(this.attributeSelector, "");
+      addStyle(el, {
+        position: "absolute",
+        top: "0",
+        left: "0"
+      });
+      this.alignOverlay();
+      if (this.dismissable) {
+        this.bindOutsideClickListener();
+      }
+      this.bindScrollListener();
+      this.bindResizeListener();
+      if (this.autoZIndex) {
+        ZIndex.set("overlay", el, this.baseZIndex + this.$primevue.config.zIndex.overlay);
+      }
+      this.overlayEventListener = function(e) {
+        if (_this.container.contains(e.target)) {
+          _this.selfClick = true;
+        }
+      };
+      this.focus();
+      OverlayEventBus.on("overlay-click", this.overlayEventListener);
+      this.$emit("show");
+      if (this.closeOnEscape) {
+        this.bindDocumentKeyDownListener();
+      }
+    }, "onEnter"),
+    onLeave: /* @__PURE__ */ __name(function onLeave4() {
+      this.unbindOutsideClickListener();
+      this.unbindScrollListener();
+      this.unbindResizeListener();
+      this.unbindDocumentKeyDownListener();
+      OverlayEventBus.off("overlay-click", this.overlayEventListener);
+      this.overlayEventListener = null;
+      this.$emit("hide");
+    }, "onLeave"),
+    onAfterLeave: /* @__PURE__ */ __name(function onAfterLeave5(el) {
+      if (this.autoZIndex) {
+        ZIndex.clear(el);
+      }
+    }, "onAfterLeave"),
+    alignOverlay: /* @__PURE__ */ __name(function alignOverlay5() {
+      absolutePosition(this.container, this.target, false);
+      var containerOffset = getOffset(this.container);
+      var targetOffset = getOffset(this.target);
+      var arrowLeft = 0;
+      if (containerOffset.left < targetOffset.left) {
+        arrowLeft = targetOffset.left - containerOffset.left;
+      }
+      this.container.style.setProperty($dt("popover.arrow.left").name, "".concat(arrowLeft, "px"));
+      if (containerOffset.top < targetOffset.top) {
+        this.container.setAttribute("data-p-popover-flipped", "true");
+        !this.isUnstyled && addClass(this.container, "p-popover-flipped");
+      }
+    }, "alignOverlay"),
+    onContentKeydown: /* @__PURE__ */ __name(function onContentKeydown(event2) {
+      if (event2.code === "Escape" && this.closeOnEscape) {
+        this.hide();
+        focus(this.target);
+      }
+    }, "onContentKeydown"),
+    onButtonKeydown: /* @__PURE__ */ __name(function onButtonKeydown(event2) {
+      switch (event2.code) {
+        case "ArrowDown":
+        case "ArrowUp":
+        case "ArrowLeft":
+        case "ArrowRight":
+          event2.preventDefault();
+      }
+    }, "onButtonKeydown"),
+    focus: /* @__PURE__ */ __name(function focus4() {
+      var focusTarget = this.container.querySelector("[autofocus]");
+      if (focusTarget) {
+        focusTarget.focus();
+      }
+    }, "focus"),
+    onKeyDown: /* @__PURE__ */ __name(function onKeyDown8(event2) {
+      if (event2.code === "Escape" && this.closeOnEscape) {
+        this.visible = false;
+      }
+    }, "onKeyDown"),
+    bindDocumentKeyDownListener: /* @__PURE__ */ __name(function bindDocumentKeyDownListener2() {
+      if (!this.documentKeydownListener) {
+        this.documentKeydownListener = this.onKeyDown.bind(this);
+        window.document.addEventListener("keydown", this.documentKeydownListener);
+      }
+    }, "bindDocumentKeyDownListener"),
+    unbindDocumentKeyDownListener: /* @__PURE__ */ __name(function unbindDocumentKeyDownListener2() {
+      if (this.documentKeydownListener) {
+        window.document.removeEventListener("keydown", this.documentKeydownListener);
+        this.documentKeydownListener = null;
+      }
+    }, "unbindDocumentKeyDownListener"),
+    bindOutsideClickListener: /* @__PURE__ */ __name(function bindOutsideClickListener5() {
+      var _this2 = this;
+      if (!this.outsideClickListener && isClient$1()) {
+        this.outsideClickListener = function(event2) {
+          if (_this2.visible && !_this2.selfClick && !_this2.isTargetClicked(event2)) {
+            _this2.visible = false;
+          }
+          _this2.selfClick = false;
+        };
+        document.addEventListener("click", this.outsideClickListener);
+      }
+    }, "bindOutsideClickListener"),
+    unbindOutsideClickListener: /* @__PURE__ */ __name(function unbindOutsideClickListener5() {
+      if (this.outsideClickListener) {
+        document.removeEventListener("click", this.outsideClickListener);
+        this.outsideClickListener = null;
+        this.selfClick = false;
+      }
+    }, "unbindOutsideClickListener"),
+    bindScrollListener: /* @__PURE__ */ __name(function bindScrollListener5() {
+      var _this3 = this;
+      if (!this.scrollHandler) {
+        this.scrollHandler = new ConnectedOverlayScrollHandler(this.target, function() {
+          if (_this3.visible) {
+            _this3.visible = false;
+          }
+        });
+      }
+      this.scrollHandler.bindScrollListener();
+    }, "bindScrollListener"),
+    unbindScrollListener: /* @__PURE__ */ __name(function unbindScrollListener5() {
+      if (this.scrollHandler) {
+        this.scrollHandler.unbindScrollListener();
+      }
+    }, "unbindScrollListener"),
+    bindResizeListener: /* @__PURE__ */ __name(function bindResizeListener6() {
+      var _this4 = this;
+      if (!this.resizeListener) {
+        this.resizeListener = function() {
+          if (_this4.visible && !isTouchDevice()) {
+            _this4.visible = false;
+          }
+        };
+        window.addEventListener("resize", this.resizeListener);
+      }
+    }, "bindResizeListener"),
+    unbindResizeListener: /* @__PURE__ */ __name(function unbindResizeListener6() {
+      if (this.resizeListener) {
+        window.removeEventListener("resize", this.resizeListener);
+        this.resizeListener = null;
+      }
+    }, "unbindResizeListener"),
+    isTargetClicked: /* @__PURE__ */ __name(function isTargetClicked2(event2) {
+      return this.eventTarget && (this.eventTarget === event2.target || this.eventTarget.contains(event2.target));
+    }, "isTargetClicked"),
+    containerRef: /* @__PURE__ */ __name(function containerRef5(el) {
+      this.container = el;
+    }, "containerRef"),
+    createStyle: /* @__PURE__ */ __name(function createStyle3() {
+      if (!this.styleElement && !this.isUnstyled) {
+        var _this$$primevue;
+        this.styleElement = document.createElement("style");
+        this.styleElement.type = "text/css";
+        setAttribute(this.styleElement, "nonce", (_this$$primevue = this.$primevue) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.config) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.csp) === null || _this$$primevue === void 0 ? void 0 : _this$$primevue.nonce);
+        document.head.appendChild(this.styleElement);
+        var innerHTML = "";
+        for (var breakpoint in this.breakpoints) {
+          innerHTML += "\n                        @media screen and (max-width: ".concat(breakpoint, ") {\n                            .p-popover[").concat(this.attributeSelector, "] {\n                                width: ").concat(this.breakpoints[breakpoint], " !important;\n                            }\n                        }\n                    ");
+        }
+        this.styleElement.innerHTML = innerHTML;
+      }
+    }, "createStyle"),
+    destroyStyle: /* @__PURE__ */ __name(function destroyStyle2() {
+      if (this.styleElement) {
+        document.head.removeChild(this.styleElement);
+        this.styleElement = null;
+      }
+    }, "destroyStyle"),
+    onOverlayClick: /* @__PURE__ */ __name(function onOverlayClick4(event2) {
+      OverlayEventBus.emit("overlay-click", {
+        originalEvent: event2,
+        target: this.target
+      });
+    }, "onOverlayClick")
+  },
+  computed: {
+    attributeSelector: /* @__PURE__ */ __name(function attributeSelector2() {
+      return UniqueComponentId();
+    }, "attributeSelector")
+  },
+  directives: {
+    focustrap: FocusTrap,
+    ripple: Ripple
+  },
+  components: {
+    Portal: script$z
+  }
+};
+var _hoisted_1$b = ["aria-modal"];
+function render$8(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_Portal = resolveComponent("Portal");
+  var _directive_focustrap = resolveDirective("focustrap");
+  return openBlock(), createBlock(_component_Portal, {
+    appendTo: _ctx.appendTo
+  }, {
+    "default": withCtx(function() {
+      return [createVNode(Transition, mergeProps({
+        name: "p-popover",
+        onEnter: $options.onEnter,
+        onLeave: $options.onLeave,
+        onAfterLeave: $options.onAfterLeave
+      }, _ctx.ptm("transition")), {
+        "default": withCtx(function() {
+          return [$data.visible ? withDirectives((openBlock(), createElementBlock("div", mergeProps({
+            key: 0,
+            ref: $options.containerRef,
+            role: "dialog",
+            "aria-modal": $data.visible,
+            onClick: _cache[3] || (_cache[3] = function() {
+              return $options.onOverlayClick && $options.onOverlayClick.apply($options, arguments);
+            }),
+            "class": _ctx.cx("root")
+          }, _ctx.ptmi("root")), [_ctx.$slots.container ? renderSlot(_ctx.$slots, "container", {
+            key: 0,
+            closeCallback: $options.hide,
+            keydownCallback: /* @__PURE__ */ __name(function keydownCallback(event2) {
+              return $options.onButtonKeydown(event2);
+            }, "keydownCallback")
+          }) : (openBlock(), createElementBlock("div", mergeProps({
+            key: 1,
+            "class": _ctx.cx("content"),
+            onClick: _cache[0] || (_cache[0] = function() {
+              return $options.onContentClick && $options.onContentClick.apply($options, arguments);
+            }),
+            onMousedown: _cache[1] || (_cache[1] = function() {
+              return $options.onContentClick && $options.onContentClick.apply($options, arguments);
+            }),
+            onKeydown: _cache[2] || (_cache[2] = function() {
+              return $options.onContentKeydown && $options.onContentKeydown.apply($options, arguments);
+            })
+          }, _ctx.ptm("content")), [renderSlot(_ctx.$slots, "default")], 16))], 16, _hoisted_1$b)), [[_directive_focustrap]]) : createCommentVNode("", true)];
+        }),
+        _: 3
+      }, 16, ["onEnter", "onLeave", "onAfterLeave"])];
+    }),
+    _: 3
+  }, 8, ["appendTo"]);
+}
+__name(render$8, "render$8");
+script$9.render = render$8;
+const _withScopeId$2 = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-adf5f221"), n = n(), popScopeId(), n), "_withScopeId$2");
+const _hoisted_1$a = { class: "node-content" };
+const _hoisted_2$6 = { class: "node-label" };
+const _sfc_main$6 = /* @__PURE__ */ defineComponent({
+  __name: "NodeTreeLeaf",
+  props: {
+    node: {},
+    isBookmarked: { type: Boolean }
+  },
+  emits: ["toggle-bookmark"],
+  setup(__props, { emit: __emit }) {
+    const props = __props;
+    const emit2 = __emit;
+    const toggleBookmark = /* @__PURE__ */ __name(() => {
+      emit2("toggle-bookmark", props.node);
+    }, "toggleBookmark");
+    const container = ref(null);
+    let draggableCleanup;
+    onMounted(() => {
+      const treeNodeElement = container.value?.closest(
+        ".p-tree-node"
+      );
+      draggableCleanup = draggable({
+        element: treeNodeElement,
+        getInitialData() {
+          return {
+            type: "add-node",
+            data: props.node
+          };
+        }
+      });
+    });
+    onUnmounted(() => {
+      draggableCleanup();
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", {
+        class: normalizeClass(["node-tree-leaf", { bookmark: _ctx.isBookmarked }]),
+        ref_key: "container",
+        ref: container
+      }, [
+        createBaseVNode("div", _hoisted_1$a, [
+          _ctx.node.experimental ? (openBlock(), createBlock(unref(script$w), {
+            key: 0,
+            value: _ctx.$t("experimental"),
+            severity: "primary"
+          }, null, 8, ["value"])) : createCommentVNode("", true),
+          _ctx.node.deprecated ? (openBlock(), createBlock(unref(script$w), {
+            key: 1,
+            value: _ctx.$t("deprecated"),
+            severity: "danger"
+          }, null, 8, ["value"])) : createCommentVNode("", true),
+          createBaseVNode("span", _hoisted_2$6, toDisplayString$1(_ctx.node.display_name), 1)
+        ]),
+        createVNode(unref(script$J), {
+          class: "bookmark-button",
+          size: "small",
+          icon: _ctx.isBookmarked ? "pi pi-bookmark-fill" : "pi pi-bookmark",
+          text: "",
+          severity: "secondary",
+          onClick: withModifiers(toggleBookmark, ["stop"])
+        }, null, 8, ["icon"])
+      ], 2);
+    };
+  }
+});
+const NodeTreeLeaf = /* @__PURE__ */ _export_sfc(_sfc_main$6, [["__scopeId", "data-v-adf5f221"]]);
+const _withScopeId$1 = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-f2d72e9b"), n = n(), popScopeId(), n), "_withScopeId$1");
+const _hoisted_1$9 = { class: "folder-label" };
+const _sfc_main$5 = /* @__PURE__ */ defineComponent({
+  __name: "NodeTreeFolder",
+  props: {
+    node: {},
+    isBookmarkFolder: { type: Boolean }
+  },
+  emits: ["itemDropped"],
+  setup(__props, { emit: __emit }) {
+    const props = __props;
+    const emit2 = __emit;
+    const nodeBookmarkStore = useNodeBookmarkStore();
+    const customization = computed(() => {
+      return nodeBookmarkStore.bookmarksCustomization[props.node.data.nodePath];
+    });
+    const addNodeToBookmarkFolder = /* @__PURE__ */ __name((node3) => {
+      if (!props.node.data) {
+        console.error("Bookmark folder does not have data!");
+        return;
+      }
+      if (nodeBookmarkStore.isBookmarked(node3)) {
+        nodeBookmarkStore.toggleBookmark(node3);
+      }
+      const folderNodeDef = props.node.data;
+      const nodePath = folderNodeDef.category + "/" + node3.display_name;
+      nodeBookmarkStore.addBookmark(nodePath);
+    }, "addNodeToBookmarkFolder");
+    const container = ref(null);
+    const canDrop = ref(false);
+    const treeNodeElement = ref(null);
+    const iconElement = ref(null);
+    let dropTargetCleanup = /* @__PURE__ */ __name(() => {
+    }, "dropTargetCleanup");
+    let stopWatchCustomization = null;
+    onMounted(() => {
+      if (!props.isBookmarkFolder) return;
+      treeNodeElement.value = container.value?.closest(
+        ".p-tree-node-content"
+      );
+      dropTargetCleanup = dropTargetForElements({
+        element: treeNodeElement.value,
+        onDrop: /* @__PURE__ */ __name((event2) => {
+          const dndData = event2.source.data;
+          if (dndData.type === "add-node") {
+            addNodeToBookmarkFolder(dndData.data);
+            canDrop.value = false;
+            emit2("itemDropped", props.node);
+          }
+        }, "onDrop"),
+        onDragEnter: /* @__PURE__ */ __name((event2) => {
+          const dndData = event2.source.data;
+          if (dndData.type === "add-node") {
+            canDrop.value = true;
+          }
+        }, "onDragEnter"),
+        onDragLeave: /* @__PURE__ */ __name((event2) => {
+          canDrop.value = false;
+        }, "onDragLeave")
+      });
+      iconElement.value = treeNodeElement.value.querySelector(
+        ":scope > .p-tree-node-icon"
+      );
+      updateIconColor();
+      stopWatchCustomization = watch(customization, updateIconColor, { deep: true });
+    });
+    const updateIconColor = /* @__PURE__ */ __name(() => {
+      if (iconElement.value && customization.value) {
+        iconElement.value.style.color = customization.value.color;
+      }
+    }, "updateIconColor");
+    onUnmounted(() => {
+      dropTargetCleanup();
+      if (stopWatchCustomization) {
+        stopWatchCustomization();
+      }
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock("div", {
+        class: normalizeClass([
+          "node-tree-folder",
+          { bookmark: props.isBookmarkFolder, "can-drop": canDrop.value }
+        ]),
+        ref_key: "container",
+        ref: container
+      }, [
+        createBaseVNode("span", _hoisted_1$9, [
+          renderSlot(_ctx.$slots, "folder-label", {
+            node: props.node
+          }, () => [
+            createTextVNode(toDisplayString$1(props.node.label), 1)
+          ], true)
+        ]),
+        createVNode(unref(script$K), {
+          value: props.node.totalNodes,
+          severity: "secondary",
+          style: { marginLeft: "0.5rem" }
+        }, null, 8, ["value"])
+      ], 2);
+    };
+  }
+});
+const NodeTreeFolder = /* @__PURE__ */ _export_sfc(_sfc_main$5, [["__scopeId", "data-v-f2d72e9b"]]);
+var theme$3 = /* @__PURE__ */ __name(function theme34(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-tree {\n    background: ".concat(dt3("tree.background"), ";\n    color: ").concat(dt3("tree.color"), ";\n    padding: ").concat(dt3("tree.padding"), ";\n}\n\n.p-tree-root-children,\n.p-tree-node-children {\n    display: flex;\n    list-style-type: none;\n    flex-direction: column;\n    margin: 0;\n    gap: ").concat(dt3("tree.gap"), ";\n}\n\n.p-tree-root-children {\n    padding: ").concat(dt3("tree.gap"), " 0 0 0;\n}\n\n.p-tree-node-children {\n    padding: ").concat(dt3("tree.gap"), " 0 0 ").concat(dt3("tree.indent"), ";\n}\n\n.p-tree-node {\n    padding: 0;\n    outline: 0 none;\n}\n\n.p-tree-node-content {\n    border-radius: ").concat(dt3("tree.node.border.radius"), ";\n    padding: ").concat(dt3("tree.node.padding"), ";\n    display: flex;\n    align-items: center;\n    outline-color: transparent;\n    color: ").concat(dt3("tree.node.color"), ";\n    gap: ").concat(dt3("tree.node.gap"), ";\n    transition: background ").concat(dt3("tree.transition.duration"), ", color ").concat(dt3("tree.transition.duration"), ", outline-color ").concat(dt3("tree.transition.duration"), ", box-shadow ").concat(dt3("tree.transition.duration"), ";\n}\n\n.p-tree-node:focus-visible > .p-tree-node-content {\n    box-shadow: ").concat(dt3("tree.node.focus.ring.shadow"), ";\n    outline: ").concat(dt3("tree.node.focus.ring.width"), " ").concat(dt3("tree.node.focus.ring.style"), " ").concat(dt3("tree.node.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("tree.node.focus.ring.offset"), ";\n}\n\n.p-tree-node-content.p-tree-node-selectable:not(.p-tree-node-selected):hover {\n    background: ").concat(dt3("tree.node.hover.background"), ";\n    color: ").concat(dt3("tree.node.hover.color"), ";\n}\n\n.p-tree-node-content.p-tree-node-selectable:not(.p-tree-node-selected):hover .p-tree-node-icon {\n    color: ").concat(dt3("tree.node.icon.hover.color"), ";\n}\n\n.p-tree-node-content.p-tree-node-selected {\n    background: ").concat(dt3("tree.node.selected.background"), ";\n    color: ").concat(dt3("tree.node.selected.color"), ";\n}\n\n.p-tree-node-content.p-tree-node-selected .p-tree-node-toggle-button {\n    color: inherit;\n}\n\n.p-tree-node-toggle-button {\n    cursor: pointer;\n    user-select: none;\n    display: inline-flex;\n    align-items: center;\n    justify-content: center;\n    overflow: hidden;\n    position: relative;\n    flex-shrink: 0;\n    width: ").concat(dt3("tree.node.toggle.button.size"), ";\n    height: ").concat(dt3("tree.node.toggle.button.size"), ";\n    color: ").concat(dt3("tree.node.toggle.button.color"), ";\n    border: 0 none;\n    background: transparent;\n    border-radius: ").concat(dt3("tree.node.toggle.button.border.radius"), ";\n    transition: background ").concat(dt3("tree.transition.duration"), ", color ").concat(dt3("tree.transition.duration"), ", border-color ").concat(dt3("tree.transition.duration"), ", outline-color ").concat(dt3("tree.transition.duration"), ", box-shadow ").concat(dt3("tree.transition.duration"), ";\n    outline-color: transparent;\n    padding: 0;\n}\n\n.p-tree-node-toggle-button:enabled:hover {\n    background: ").concat(dt3("tree.node.toggle.button.hover.background"), ";\n    color: ").concat(dt3("tree.node.toggle.button.hover.color"), ";\n}\n\n.p-tree-node-content.p-tree-node-selected .p-tree-node-toggle-button:hover {\n    background: ").concat(dt3("tree.node.toggle.button.selected.hover.background"), ";\n    color: ").concat(dt3("tree.node.toggle.button.selected.hover.color"), ";\n}\n\n.p-tree-root {\n    overflow: auto;\n}\n\n.p-tree-node-selectable {\n    cursor: pointer;\n    user-select: none;\n}\n\n.p-tree-node-leaf > .p-tree-node-content .p-tree-node-toggle-button {\n    visibility: hidden;\n}\n\n.p-tree-node-icon {\n    color: ").concat(dt3("tree.node.icon.color"), ";\n    transition: color ").concat(dt3("tree.transition.duration"), ";\n}\n\n.p-tree-node-content.p-tree-node-selected .p-tree-node-icon {\n    color: ").concat(dt3("tree.node.icon.selected.color"), ";\n}\n\n.p-tree-filter-input {\n    width: 100%;\n}\n\n.p-tree-loading {\n    position: relative;\n    height: 100%;\n}\n\n.p-tree-loading-icon {\n    font-size: ").concat(dt3("tree.loading.icon.size"), ";\n    width: ").concat(dt3("tree.loading.icon.size"), ";\n    height: ").concat(dt3("tree.loading.icon.size"), ";\n}\n\n.p-tree .p-tree-mask {\n    position: absolute;\n    z-index: 1;\n    display: flex;\n    align-items: center;\n    justify-content: center;\n}\n\n.p-tree-flex-scrollable {\n    display: flex;\n    flex: 1;\n    height: 100%;\n    flex-direction: column;\n}\n\n.p-tree-flex-scrollable .p-tree-root {\n    flex: 1;\n}\n");
+}, "theme");
+var classes$3 = {
+  root: /* @__PURE__ */ __name(function root22(_ref2) {
+    var props = _ref2.props;
+    return ["p-tree p-component", {
+      "p-tree-selectable": props.selectionMode != null,
+      "p-tree-loading": props.loading,
+      "p-tree-flex-scrollable": props.scrollHeight === "flex"
+    }];
+  }, "root"),
+  mask: "p-tree-mask p-overlay-mask",
+  loadingIcon: "p-tree-loading-icon",
+  pcFilterInput: "p-tree-filter-input",
+  wrapper: "p-tree-root",
+  //TODO: discuss
+  rootChildren: "p-tree-root-children",
+  node: /* @__PURE__ */ __name(function node2(_ref3) {
+    var instance = _ref3.instance;
+    return ["p-tree-node", {
+      "p-tree-node-leaf": instance.leaf
+    }];
+  }, "node"),
+  nodeContent: /* @__PURE__ */ __name(function nodeContent(_ref4) {
+    var instance = _ref4.instance;
+    return ["p-tree-node-content", instance.node.styleClass, {
+      "p-tree-node-selectable": instance.selectable,
+      "p-tree-node-selected": instance.checkboxMode && instance.$parentInstance.highlightOnSelect ? instance.checked : instance.selected
+    }];
+  }, "nodeContent"),
+  nodeToggleButton: "p-tree-node-toggle-button",
+  nodeToggleIcon: "p-tree-node-toggle-icon",
+  nodeCheckbox: "p-tree-node-checkbox",
+  nodeIcon: "p-tree-node-icon",
+  nodeLabel: "p-tree-node-label",
+  nodeChildren: "p-tree-node-children"
+};
+var TreeStyle = BaseStyle.extend({
+  name: "tree",
+  theme: theme$3,
+  classes: classes$3
+});
+var script$8 = {
+  name: "MinusIcon",
+  "extends": script$U
+};
+var _hoisted_1$8 = /* @__PURE__ */ createBaseVNode("path", {
+  d: "M13.2222 7.77778H0.777778C0.571498 7.77778 0.373667 7.69584 0.227806 7.54998C0.0819442 7.40412 0 7.20629 0 7.00001C0 6.79373 0.0819442 6.5959 0.227806 6.45003C0.373667 6.30417 0.571498 6.22223 0.777778 6.22223H13.2222C13.4285 6.22223 13.6263 6.30417 13.7722 6.45003C13.9181 6.5959 14 6.79373 14 7.00001C14 7.20629 13.9181 7.40412 13.7722 7.54998C13.6263 7.69584 13.4285 7.77778 13.2222 7.77778Z",
+  fill: "currentColor"
+}, null, -1);
+var _hoisted_2$5 = [_hoisted_1$8];
+function render$7(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("svg", mergeProps({
+    width: "14",
+    height: "14",
+    viewBox: "0 0 14 14",
+    fill: "none",
+    xmlns: "http://www.w3.org/2000/svg"
+  }, _ctx.pti()), _hoisted_2$5, 16);
+}
+__name(render$7, "render$7");
+script$8.render = render$7;
+var theme$2 = /* @__PURE__ */ __name(function theme35(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-checkbox {\n    position: relative;\n    display: inline-flex;\n    user-select: none;\n    vertical-align: bottom;\n    width: ".concat(dt3("checkbox.width"), ";\n    height: ").concat(dt3("checkbox.height"), ";\n}\n\n.p-checkbox-input {\n    cursor: pointer;\n    appearance: none;\n    position: absolute;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n    padding: 0;\n    margin: 0;\n    opacity: 0;\n    z-index: 1;\n    outline: 0 none;\n    border: 1px solid transparent;\n    border-radius: ").concat(dt3("checkbox.border.radius"), ";\n}\n\n.p-checkbox-box {\n    display: flex;\n    justify-content: center;\n    align-items: center;\n    border-radius: ").concat(dt3("checkbox.border.radius"), ";\n    border: 1px solid ").concat(dt3("checkbox.border.color"), ";\n    background: ").concat(dt3("checkbox.background"), ";\n    width: ").concat(dt3("checkbox.width"), ";\n    height: ").concat(dt3("checkbox.height"), ";\n    transition: background ").concat(dt3("checkbox.transition.duration"), ", color ").concat(dt3("checkbox.transition.duration"), ", border-color ").concat(dt3("checkbox.transition.duration"), ", box-shadow ").concat(dt3("checkbox.transition.duration"), ", outline-color ").concat(dt3("checkbox.transition.duration"), ";\n    outline-color: transparent;\n    box-shadow: ").concat(dt3("checkbox.shadow"), ";\n}\n\n.p-checkbox-icon {\n    transition-duration: ").concat(dt3("checkbox.transition.duration"), ";\n    color: ").concat(dt3("checkbox.icon.color"), ";\n    font-size: ").concat(dt3("checkbox.icon.size"), ";\n    width: ").concat(dt3("checkbox.icon.size"), ";\n    height: ").concat(dt3("checkbox.icon.size"), ";\n}\n\n.p-checkbox:not(.p-disabled):has(.p-checkbox-input:hover) .p-checkbox-box {\n    border-color: ").concat(dt3("checkbox.hover.border.color"), ";\n}\n\n.p-checkbox-checked .p-checkbox-box {\n    border-color: ").concat(dt3("checkbox.checked.border.color"), ";\n    background: ").concat(dt3("checkbox.checked.background"), ";\n}\n\n.p-checkbox-checked .p-checkbox-icon {\n    color: ").concat(dt3("checkbox.icon.checked.color"), ";\n}\n\n.p-checkbox-checked:not(.p-disabled):has(.p-checkbox-input:hover) .p-checkbox-box {\n    background: ").concat(dt3("checkbox.checked.hover.background"), ";\n    border-color: ").concat(dt3("checkbox.checked.hover.border.color"), ";\n}\n\n.p-checkbox-checked:not(.p-disabled):has(.p-checkbox-input:hover) .p-checkbox-icon {\n    color: ").concat(dt3("checkbox.icon.checked.hover.color"), ";\n}\n\n.p-checkbox:not(.p-disabled):has(.p-checkbox-input:focus-visible) .p-checkbox-box {\n    border-color: ").concat(dt3("checkbox.focus.border.color"), ";\n    box-shadow: ").concat(dt3("checkbox.focus.ring.shadow"), ";\n    outline: ").concat(dt3("checkbox.focus.ring.width"), " ").concat(dt3("checkbox.focus.ring.style"), " ").concat(dt3("checkbox.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("checkbox.focus.ring.offset"), ";\n}\n\n.p-checkbox-checked:not(.p-disabled):has(.p-checkbox-input:focus-visible) .p-checkbox-box {\n    border-color: ").concat(dt3("checkbox.checked.focus.border.color"), ";\n}\n\n.p-checkbox.p-invalid > .p-checkbox-box {\n    border-color: ").concat(dt3("checkbox.invalid.border.color"), ";\n}\n\n.p-checkbox.p-variant-filled .p-checkbox-box {\n    background: ").concat(dt3("checkbox.filled.background"), ";\n}\n\n.p-checkbox-checked.p-variant-filled .p-checkbox-box {\n    background: ").concat(dt3("checkbox.checked.background"), ";\n}\n\n.p-checkbox-checked.p-variant-filled:not(.p-disabled):has(.p-checkbox-input:hover) .p-checkbox-box {\n    background: ").concat(dt3("checkbox.checked.hover.background"), ";\n}\n\n.p-checkbox.p-disabled {\n    opacity: 1;\n}\n\n.p-checkbox.p-disabled .p-checkbox-box {\n    background: ").concat(dt3("checkbox.disabled.background"), ";\n    border-color: ").concat(dt3("checkbox.checked.disabled.border.color"), ";\n}\n\n.p-checkbox.p-disabled .p-checkbox-box .p-checkbox-icon {\n    color: ").concat(dt3("checkbox.icon.disabled.color"), ";\n}\n");
+}, "theme");
+var classes$2 = {
+  root: /* @__PURE__ */ __name(function root23(_ref2) {
+    var instance = _ref2.instance, props = _ref2.props;
+    return ["p-checkbox p-component", {
+      "p-checkbox-checked": instance.checked,
+      "p-disabled": props.disabled,
+      "p-invalid": props.invalid,
+      "p-variant-filled": props.variant ? props.variant === "filled" : instance.$primevue.config.inputStyle === "filled" || instance.$primevue.config.inputVariant === "filled"
+    }];
+  }, "root"),
+  box: "p-checkbox-box",
+  input: "p-checkbox-input",
+  icon: "p-checkbox-icon"
+};
+var CheckboxStyle = BaseStyle.extend({
+  name: "checkbox",
+  theme: theme$2,
+  classes: classes$2
+});
+var script$1$3 = {
+  name: "BaseCheckbox",
+  "extends": script$X,
+  props: {
+    value: null,
+    modelValue: null,
+    binary: Boolean,
+    name: {
+      type: String,
+      "default": null
+    },
+    indeterminate: {
+      type: Boolean,
+      "default": false
+    },
+    trueValue: {
+      type: null,
+      "default": true
+    },
+    falseValue: {
+      type: null,
+      "default": false
+    },
+    variant: {
+      type: String,
+      "default": null
+    },
+    invalid: {
+      type: Boolean,
+      "default": false
+    },
+    disabled: {
+      type: Boolean,
+      "default": false
+    },
+    readonly: {
+      type: Boolean,
+      "default": false
+    },
+    required: {
+      type: Boolean,
+      "default": false
+    },
+    tabindex: {
+      type: Number,
+      "default": null
+    },
+    inputId: {
+      type: String,
+      "default": null
+    },
+    inputClass: {
+      type: [String, Object],
+      "default": null
+    },
+    inputStyle: {
+      type: Object,
+      "default": null
+    },
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    }
+  },
+  style: CheckboxStyle,
+  provide: /* @__PURE__ */ __name(function provide37() {
+    return {
+      $pcCheckbox: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+function _toConsumableArray$3(r) {
+  return _arrayWithoutHoles$3(r) || _iterableToArray$3(r) || _unsupportedIterableToArray$3(r) || _nonIterableSpread$3();
+}
+__name(_toConsumableArray$3, "_toConsumableArray$3");
+function _nonIterableSpread$3() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$3, "_nonIterableSpread$3");
+function _unsupportedIterableToArray$3(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$3(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$3(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$3, "_unsupportedIterableToArray$3");
+function _iterableToArray$3(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$3, "_iterableToArray$3");
+function _arrayWithoutHoles$3(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$3(r);
+}
+__name(_arrayWithoutHoles$3, "_arrayWithoutHoles$3");
+function _arrayLikeToArray$3(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$3, "_arrayLikeToArray$3");
+var script$7 = {
+  name: "Checkbox",
+  "extends": script$1$3,
+  inheritAttrs: false,
+  emits: ["update:modelValue", "change", "focus", "blur", "update:indeterminate"],
+  data: /* @__PURE__ */ __name(function data20() {
+    return {
+      d_indeterminate: this.indeterminate
+    };
+  }, "data"),
+  watch: {
+    indeterminate: /* @__PURE__ */ __name(function indeterminate(newValue) {
+      this.d_indeterminate = newValue;
+    }, "indeterminate")
+  },
+  methods: {
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions12(key) {
+      var _ptm = key === "root" ? this.ptmi : this.ptm;
+      return _ptm(key, {
+        context: {
+          checked: this.checked,
+          disabled: this.disabled
+        }
+      });
+    }, "getPTOptions"),
+    onChange: /* @__PURE__ */ __name(function onChange4(event2) {
+      var _this = this;
+      if (!this.disabled && !this.readonly) {
+        var newModelValue;
+        if (this.binary) {
+          newModelValue = this.d_indeterminate ? this.trueValue : this.checked ? this.falseValue : this.trueValue;
+        } else {
+          if (this.checked || this.d_indeterminate) newModelValue = this.modelValue.filter(function(val) {
+            return !equals(val, _this.value);
+          });
+          else newModelValue = this.modelValue ? [].concat(_toConsumableArray$3(this.modelValue), [this.value]) : [this.value];
+        }
+        if (this.d_indeterminate) {
+          this.d_indeterminate = false;
+          this.$emit("update:indeterminate", this.d_indeterminate);
+        }
+        this.$emit("update:modelValue", newModelValue);
+        this.$emit("change", event2);
+      }
+    }, "onChange"),
+    onFocus: /* @__PURE__ */ __name(function onFocus7(event2) {
+      this.$emit("focus", event2);
+    }, "onFocus"),
+    onBlur: /* @__PURE__ */ __name(function onBlur7(event2) {
+      this.$emit("blur", event2);
+    }, "onBlur")
+  },
+  computed: {
+    checked: /* @__PURE__ */ __name(function checked2() {
+      return this.d_indeterminate ? false : this.binary ? this.modelValue === this.trueValue : contains(this.value, this.modelValue);
+    }, "checked")
+  },
+  components: {
+    CheckIcon: script$S,
+    MinusIcon: script$8
+  }
+};
+var _hoisted_1$7 = ["data-p-checked", "data-p-indeterminate", "data-p-disabled"];
+var _hoisted_2$4 = ["id", "value", "name", "checked", "tabindex", "disabled", "readonly", "required", "aria-labelledby", "aria-label", "aria-invalid", "aria-checked"];
+function render$6(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_CheckIcon = resolveComponent("CheckIcon");
+  var _component_MinusIcon = resolveComponent("MinusIcon");
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root")
+  }, $options.getPTOptions("root"), {
+    "data-p-checked": $options.checked,
+    "data-p-indeterminate": $data.d_indeterminate || void 0,
+    "data-p-disabled": _ctx.disabled
+  }), [createBaseVNode("input", mergeProps({
+    id: _ctx.inputId,
+    type: "checkbox",
+    "class": [_ctx.cx("input"), _ctx.inputClass],
+    style: _ctx.inputStyle,
+    value: _ctx.value,
+    name: _ctx.name,
+    checked: $options.checked,
+    tabindex: _ctx.tabindex,
+    disabled: _ctx.disabled,
+    readonly: _ctx.readonly,
+    required: _ctx.required,
+    "aria-labelledby": _ctx.ariaLabelledby,
+    "aria-label": _ctx.ariaLabel,
+    "aria-invalid": _ctx.invalid || void 0,
+    "aria-checked": $data.d_indeterminate ? "mixed" : void 0,
+    onFocus: _cache[0] || (_cache[0] = function() {
+      return $options.onFocus && $options.onFocus.apply($options, arguments);
+    }),
+    onBlur: _cache[1] || (_cache[1] = function() {
+      return $options.onBlur && $options.onBlur.apply($options, arguments);
+    }),
+    onChange: _cache[2] || (_cache[2] = function() {
+      return $options.onChange && $options.onChange.apply($options, arguments);
+    })
+  }, $options.getPTOptions("input")), null, 16, _hoisted_2$4), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("box")
+  }, $options.getPTOptions("box")), [renderSlot(_ctx.$slots, "icon", {
+    checked: $options.checked,
+    indeterminate: $data.d_indeterminate,
+    "class": normalizeClass(_ctx.cx("icon"))
+  }, function() {
+    return [$options.checked ? (openBlock(), createBlock(_component_CheckIcon, mergeProps({
+      key: 0,
+      "class": _ctx.cx("icon")
+    }, $options.getPTOptions("icon")), null, 16, ["class"])) : $data.d_indeterminate ? (openBlock(), createBlock(_component_MinusIcon, mergeProps({
+      key: 1,
+      "class": _ctx.cx("icon")
+    }, $options.getPTOptions("icon")), null, 16, ["class"])) : createCommentVNode("", true)];
+  })], 16)], 16, _hoisted_1$7);
+}
+__name(render$6, "render$6");
+script$7.render = render$6;
+var script$2$1 = {
+  name: "BaseTree",
+  "extends": script$X,
+  props: {
+    value: {
+      type: null,
+      "default": null
+    },
+    expandedKeys: {
+      type: null,
+      "default": null
+    },
+    selectionKeys: {
+      type: null,
+      "default": null
+    },
+    selectionMode: {
+      type: String,
+      "default": null
+    },
+    metaKeySelection: {
+      type: Boolean,
+      "default": false
+    },
+    loading: {
+      type: Boolean,
+      "default": false
+    },
+    loadingIcon: {
+      type: String,
+      "default": void 0
+    },
+    loadingMode: {
+      type: String,
+      "default": "mask"
+    },
+    filter: {
+      type: Boolean,
+      "default": false
+    },
+    filterBy: {
+      type: String,
+      "default": "label"
+    },
+    filterMode: {
+      type: String,
+      "default": "lenient"
+    },
+    filterPlaceholder: {
+      type: String,
+      "default": null
+    },
+    filterLocale: {
+      type: String,
+      "default": void 0
+    },
+    highlightOnSelect: {
+      type: Boolean,
+      "default": false
+    },
+    scrollHeight: {
+      type: String,
+      "default": null
+    },
+    level: {
+      type: Number,
+      "default": 0
+    },
+    ariaLabelledby: {
+      type: String,
+      "default": null
+    },
+    ariaLabel: {
+      type: String,
+      "default": null
+    }
+  },
+  style: TreeStyle,
+  provide: /* @__PURE__ */ __name(function provide38() {
+    return {
+      $pcTree: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+function _typeof$1$1(o) {
+  "@babel/helpers - typeof";
+  return _typeof$1$1 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$1$1(o);
+}
+__name(_typeof$1$1, "_typeof$1$1");
+function _createForOfIteratorHelper$1(r, e) {
+  var t = "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (!t) {
+    if (Array.isArray(r) || (t = _unsupportedIterableToArray$1(r)) || e) {
+      t && (r = t);
+      var _n = 0, F = /* @__PURE__ */ __name(function F2() {
+      }, "F");
+      return { s: F, n: /* @__PURE__ */ __name(function n() {
+        return _n >= r.length ? { done: true } : { done: false, value: r[_n++] };
+      }, "n"), e: /* @__PURE__ */ __name(function e2(r2) {
+        throw r2;
+      }, "e"), f: F };
+    }
+    throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+  }
+  var o, a = true, u = false;
+  return { s: /* @__PURE__ */ __name(function s() {
+    t = t.call(r);
+  }, "s"), n: /* @__PURE__ */ __name(function n() {
+    var r2 = t.next();
+    return a = r2.done, r2;
+  }, "n"), e: /* @__PURE__ */ __name(function e2(r2) {
+    u = true, o = r2;
+  }, "e"), f: /* @__PURE__ */ __name(function f() {
+    try {
+      a || null == t["return"] || t["return"]();
+    } finally {
+      if (u) throw o;
+    }
+  }, "f") };
+}
+__name(_createForOfIteratorHelper$1, "_createForOfIteratorHelper$1");
+function ownKeys$1$1(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$1$1, "ownKeys$1$1");
+function _objectSpread$1$1(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$1$1(Object(t), true).forEach(function(r2) {
+      _defineProperty$1$1(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$1$1(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$1$1, "_objectSpread$1$1");
+function _defineProperty$1$1(e, r, t) {
+  return (r = _toPropertyKey$1$1(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$1$1, "_defineProperty$1$1");
+function _toPropertyKey$1$1(t) {
+  var i2 = _toPrimitive$1$1(t, "string");
+  return "symbol" == _typeof$1$1(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$1$1, "_toPropertyKey$1$1");
+function _toPrimitive$1$1(t, r) {
+  if ("object" != _typeof$1$1(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$1$1(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$1$1, "_toPrimitive$1$1");
+function _toConsumableArray$1(r) {
+  return _arrayWithoutHoles$1(r) || _iterableToArray$1(r) || _unsupportedIterableToArray$1(r) || _nonIterableSpread$1();
+}
+__name(_toConsumableArray$1, "_toConsumableArray$1");
+function _nonIterableSpread$1() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$1, "_nonIterableSpread$1");
+function _unsupportedIterableToArray$1(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$1(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$1(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$1, "_unsupportedIterableToArray$1");
+function _iterableToArray$1(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$1, "_iterableToArray$1");
+function _arrayWithoutHoles$1(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$1(r);
+}
+__name(_arrayWithoutHoles$1, "_arrayWithoutHoles$1");
+function _arrayLikeToArray$1(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$1, "_arrayLikeToArray$1");
+var script$1$2 = {
+  name: "TreeNode",
+  hostName: "Tree",
+  "extends": script$X,
+  emits: ["node-toggle", "node-click", "checkbox-change"],
+  props: {
+    node: {
+      type: null,
+      "default": null
+    },
+    expandedKeys: {
+      type: null,
+      "default": null
+    },
+    loadingMode: {
+      type: String,
+      "default": "mask"
+    },
+    selectionKeys: {
+      type: null,
+      "default": null
+    },
+    selectionMode: {
+      type: String,
+      "default": null
+    },
+    templates: {
+      type: null,
+      "default": null
+    },
+    level: {
+      type: Number,
+      "default": null
+    },
+    index: null
+  },
+  nodeTouched: false,
+  toggleClicked: false,
+  mounted: /* @__PURE__ */ __name(function mounted19() {
+    this.setAllNodesTabIndexes();
+  }, "mounted"),
+  methods: {
+    toggle: /* @__PURE__ */ __name(function toggle3() {
+      this.$emit("node-toggle", this.node);
+      this.toggleClicked = true;
+    }, "toggle"),
+    label: /* @__PURE__ */ __name(function label4(node3) {
+      return typeof node3.label === "function" ? node3.label() : node3.label;
+    }, "label"),
+    onChildNodeToggle: /* @__PURE__ */ __name(function onChildNodeToggle(node3) {
+      this.$emit("node-toggle", node3);
+    }, "onChildNodeToggle"),
+    getPTOptions: /* @__PURE__ */ __name(function getPTOptions13(key) {
+      return this.ptm(key, {
+        context: {
+          index: this.index,
+          expanded: this.expanded,
+          selected: this.selected,
+          checked: this.checked,
+          leaf: this.leaf
+        }
+      });
+    }, "getPTOptions"),
+    onClick: /* @__PURE__ */ __name(function onClick2(event2) {
+      if (this.toggleClicked || getAttribute(event2.target, '[data-pc-section="nodetogglebutton"]') || getAttribute(event2.target.parentElement, '[data-pc-section="nodetogglebutton"]')) {
+        this.toggleClicked = false;
+        return;
+      }
+      if (this.isCheckboxSelectionMode()) {
+        this.toggleCheckbox();
+      } else {
+        this.$emit("node-click", {
+          originalEvent: event2,
+          nodeTouched: this.nodeTouched,
+          node: this.node
+        });
+      }
+      this.nodeTouched = false;
+    }, "onClick"),
+    onChildNodeClick: /* @__PURE__ */ __name(function onChildNodeClick(event2) {
+      this.$emit("node-click", event2);
+    }, "onChildNodeClick"),
+    onTouchEnd: /* @__PURE__ */ __name(function onTouchEnd2() {
+      this.nodeTouched = true;
+    }, "onTouchEnd"),
+    onKeyDown: /* @__PURE__ */ __name(function onKeyDown9(event2) {
+      if (!this.isSameNode(event2)) return;
+      switch (event2.code) {
+        case "Tab":
+          this.onTabKey(event2);
+          break;
+        case "ArrowDown":
+          this.onArrowDown(event2);
+          break;
+        case "ArrowUp":
+          this.onArrowUp(event2);
+          break;
+        case "ArrowRight":
+          this.onArrowRight(event2);
+          break;
+        case "ArrowLeft":
+          this.onArrowLeft(event2);
+          break;
+        case "Enter":
+        case "NumpadEnter":
+        case "Space":
+          this.onEnterKey(event2);
+          break;
+      }
+    }, "onKeyDown"),
+    onArrowDown: /* @__PURE__ */ __name(function onArrowDown(event2) {
+      var nodeElement = event2.target.getAttribute("data-pc-section") === "nodetogglebutton" ? event2.target.closest('[role="treeitem"]') : event2.target;
+      var listElement = nodeElement.children[1];
+      if (listElement) {
+        this.focusRowChange(nodeElement, listElement.children[0]);
+      } else {
+        if (nodeElement.nextElementSibling) {
+          this.focusRowChange(nodeElement, nodeElement.nextElementSibling);
+        } else {
+          var nextSiblingAncestor = this.findNextSiblingOfAncestor(nodeElement);
+          if (nextSiblingAncestor) {
+            this.focusRowChange(nodeElement, nextSiblingAncestor);
+          }
+        }
+      }
+      event2.preventDefault();
+    }, "onArrowDown"),
+    onArrowUp: /* @__PURE__ */ __name(function onArrowUp(event2) {
+      var nodeElement = event2.target;
+      if (nodeElement.previousElementSibling) {
+        this.focusRowChange(nodeElement, nodeElement.previousElementSibling, this.findLastVisibleDescendant(nodeElement.previousElementSibling));
+      } else {
+        var parentNodeElement = this.getParentNodeElement(nodeElement);
+        if (parentNodeElement) {
+          this.focusRowChange(nodeElement, parentNodeElement);
+        }
+      }
+      event2.preventDefault();
+    }, "onArrowUp"),
+    onArrowRight: /* @__PURE__ */ __name(function onArrowRight(event2) {
+      var _this = this;
+      if (this.leaf || this.expanded) return;
+      event2.currentTarget.tabIndex = -1;
+      this.$emit("node-toggle", this.node);
+      this.$nextTick(function() {
+        _this.onArrowDown(event2);
+      });
+    }, "onArrowRight"),
+    onArrowLeft: /* @__PURE__ */ __name(function onArrowLeft(event2) {
+      var togglerElement = findSingle(event2.currentTarget, '[data-pc-section="nodetogglebutton"]');
+      if (this.level === 0 && !this.expanded) {
+        return false;
+      }
+      if (this.expanded && !this.leaf) {
+        togglerElement.click();
+        return false;
+      }
+      var target = this.findBeforeClickableNode(event2.currentTarget);
+      if (target) {
+        this.focusRowChange(event2.currentTarget, target);
+      }
+    }, "onArrowLeft"),
+    onEnterKey: /* @__PURE__ */ __name(function onEnterKey5(event2) {
+      this.setTabIndexForSelectionMode(event2, this.nodeTouched);
+      this.onClick(event2);
+      event2.preventDefault();
+    }, "onEnterKey"),
+    onTabKey: /* @__PURE__ */ __name(function onTabKey6() {
+      this.setAllNodesTabIndexes();
+    }, "onTabKey"),
+    setAllNodesTabIndexes: /* @__PURE__ */ __name(function setAllNodesTabIndexes() {
+      var nodes = find(this.$refs.currentNode.closest('[data-pc-section="rootchildren"]'), '[role="treeitem"]');
+      var hasSelectedNode = _toConsumableArray$1(nodes).some(function(node3) {
+        return node3.getAttribute("aria-selected") === "true" || node3.getAttribute("aria-checked") === "true";
+      });
+      _toConsumableArray$1(nodes).forEach(function(node3) {
+        node3.tabIndex = -1;
+      });
+      if (hasSelectedNode) {
+        var selectedNodes = _toConsumableArray$1(nodes).filter(function(node3) {
+          return node3.getAttribute("aria-selected") === "true" || node3.getAttribute("aria-checked") === "true";
+        });
+        selectedNodes[0].tabIndex = 0;
+        return;
+      }
+      _toConsumableArray$1(nodes)[0].tabIndex = 0;
+    }, "setAllNodesTabIndexes"),
+    setTabIndexForSelectionMode: /* @__PURE__ */ __name(function setTabIndexForSelectionMode(event2, nodeTouched) {
+      if (this.selectionMode !== null) {
+        var elements = _toConsumableArray$1(find(this.$refs.currentNode.parentElement, '[role="treeitem"]'));
+        event2.currentTarget.tabIndex = nodeTouched === false ? -1 : 0;
+        if (elements.every(function(element) {
+          return element.tabIndex === -1;
+        })) {
+          elements[0].tabIndex = 0;
+        }
+      }
+    }, "setTabIndexForSelectionMode"),
+    focusRowChange: /* @__PURE__ */ __name(function focusRowChange(firstFocusableRow, currentFocusedRow, lastVisibleDescendant) {
+      firstFocusableRow.tabIndex = "-1";
+      currentFocusedRow.tabIndex = "0";
+      this.focusNode(lastVisibleDescendant || currentFocusedRow);
+    }, "focusRowChange"),
+    findBeforeClickableNode: /* @__PURE__ */ __name(function findBeforeClickableNode(node3) {
+      var parentListElement = node3.closest("ul").closest("li");
+      if (parentListElement) {
+        var prevNodeButton = findSingle(parentListElement, "button");
+        if (prevNodeButton && prevNodeButton.style.visibility !== "hidden") {
+          return parentListElement;
+        }
+        return this.findBeforeClickableNode(node3.previousElementSibling);
+      }
+      return null;
+    }, "findBeforeClickableNode"),
+    toggleCheckbox: /* @__PURE__ */ __name(function toggleCheckbox() {
+      var _selectionKeys = this.selectionKeys ? _objectSpread$1$1({}, this.selectionKeys) : {};
+      var _check = !this.checked;
+      this.propagateDown(this.node, _check, _selectionKeys);
+      this.$emit("checkbox-change", {
+        node: this.node,
+        check: _check,
+        selectionKeys: _selectionKeys
+      });
+    }, "toggleCheckbox"),
+    propagateDown: /* @__PURE__ */ __name(function propagateDown(node3, check, selectionKeys) {
+      if (check) selectionKeys[node3.key] = {
+        checked: true,
+        partialChecked: false
+      };
+      else delete selectionKeys[node3.key];
+      if (node3.children && node3.children.length) {
+        var _iterator = _createForOfIteratorHelper$1(node3.children), _step;
+        try {
+          for (_iterator.s(); !(_step = _iterator.n()).done; ) {
+            var child = _step.value;
+            this.propagateDown(child, check, selectionKeys);
+          }
+        } catch (err) {
+          _iterator.e(err);
+        } finally {
+          _iterator.f();
+        }
+      }
+    }, "propagateDown"),
+    propagateUp: /* @__PURE__ */ __name(function propagateUp(event2) {
+      var check = event2.check;
+      var _selectionKeys = _objectSpread$1$1({}, event2.selectionKeys);
+      var checkedChildCount = 0;
+      var childPartialSelected = false;
+      var _iterator2 = _createForOfIteratorHelper$1(this.node.children), _step2;
+      try {
+        for (_iterator2.s(); !(_step2 = _iterator2.n()).done; ) {
+          var child = _step2.value;
+          if (_selectionKeys[child.key] && _selectionKeys[child.key].checked) checkedChildCount++;
+          else if (_selectionKeys[child.key] && _selectionKeys[child.key].partialChecked) childPartialSelected = true;
+        }
+      } catch (err) {
+        _iterator2.e(err);
+      } finally {
+        _iterator2.f();
+      }
+      if (check && checkedChildCount === this.node.children.length) {
+        _selectionKeys[this.node.key] = {
+          checked: true,
+          partialChecked: false
+        };
+      } else {
+        if (!check) {
+          delete _selectionKeys[this.node.key];
+        }
+        if (childPartialSelected || checkedChildCount > 0 && checkedChildCount !== this.node.children.length) _selectionKeys[this.node.key] = {
+          checked: false,
+          partialChecked: true
+        };
+        else delete _selectionKeys[this.node.key];
+      }
+      this.$emit("checkbox-change", {
+        node: event2.node,
+        check: event2.check,
+        selectionKeys: _selectionKeys
+      });
+    }, "propagateUp"),
+    onChildCheckboxChange: /* @__PURE__ */ __name(function onChildCheckboxChange(event2) {
+      this.$emit("checkbox-change", event2);
+    }, "onChildCheckboxChange"),
+    findNextSiblingOfAncestor: /* @__PURE__ */ __name(function findNextSiblingOfAncestor(nodeElement) {
+      var parentNodeElement = this.getParentNodeElement(nodeElement);
+      if (parentNodeElement) {
+        if (parentNodeElement.nextElementSibling) return parentNodeElement.nextElementSibling;
+        else return this.findNextSiblingOfAncestor(parentNodeElement);
+      } else {
+        return null;
+      }
+    }, "findNextSiblingOfAncestor"),
+    findLastVisibleDescendant: /* @__PURE__ */ __name(function findLastVisibleDescendant(nodeElement) {
+      var childrenListElement = nodeElement.children[1];
+      if (childrenListElement) {
+        var lastChildElement = childrenListElement.children[childrenListElement.children.length - 1];
+        return this.findLastVisibleDescendant(lastChildElement);
+      } else {
+        return nodeElement;
+      }
+    }, "findLastVisibleDescendant"),
+    getParentNodeElement: /* @__PURE__ */ __name(function getParentNodeElement(nodeElement) {
+      var parentNodeElement = nodeElement.parentElement.parentElement;
+      return getAttribute(parentNodeElement, "role") === "treeitem" ? parentNodeElement : null;
+    }, "getParentNodeElement"),
+    focusNode: /* @__PURE__ */ __name(function focusNode(element) {
+      element.focus();
+    }, "focusNode"),
+    isCheckboxSelectionMode: /* @__PURE__ */ __name(function isCheckboxSelectionMode() {
+      return this.selectionMode === "checkbox";
+    }, "isCheckboxSelectionMode"),
+    isSameNode: /* @__PURE__ */ __name(function isSameNode(event2) {
+      return event2.currentTarget && (event2.currentTarget.isSameNode(event2.target) || event2.currentTarget.isSameNode(event2.target.closest('[role="treeitem"]')));
+    }, "isSameNode")
+  },
+  computed: {
+    hasChildren: /* @__PURE__ */ __name(function hasChildren() {
+      return this.node.children && this.node.children.length > 0;
+    }, "hasChildren"),
+    expanded: /* @__PURE__ */ __name(function expanded() {
+      return this.expandedKeys && this.expandedKeys[this.node.key] === true;
+    }, "expanded"),
+    leaf: /* @__PURE__ */ __name(function leaf() {
+      return this.node.leaf === false ? false : !(this.node.children && this.node.children.length);
+    }, "leaf"),
+    selectable: /* @__PURE__ */ __name(function selectable() {
+      return this.node.selectable === false ? false : this.selectionMode != null;
+    }, "selectable"),
+    selected: /* @__PURE__ */ __name(function selected() {
+      return this.selectionMode && this.selectionKeys ? this.selectionKeys[this.node.key] === true : false;
+    }, "selected"),
+    checkboxMode: /* @__PURE__ */ __name(function checkboxMode() {
+      return this.selectionMode === "checkbox" && this.node.selectable !== false;
+    }, "checkboxMode"),
+    checked: /* @__PURE__ */ __name(function checked3() {
+      return this.selectionKeys ? this.selectionKeys[this.node.key] && this.selectionKeys[this.node.key].checked : false;
+    }, "checked"),
+    partialChecked: /* @__PURE__ */ __name(function partialChecked() {
+      return this.selectionKeys ? this.selectionKeys[this.node.key] && this.selectionKeys[this.node.key].partialChecked : false;
+    }, "partialChecked"),
+    ariaChecked: /* @__PURE__ */ __name(function ariaChecked() {
+      return this.selectionMode === "single" || this.selectionMode === "multiple" ? this.selected : void 0;
+    }, "ariaChecked"),
+    ariaSelected: /* @__PURE__ */ __name(function ariaSelected() {
+      return this.checkboxMode ? this.checked : void 0;
+    }, "ariaSelected")
+  },
+  components: {
+    Checkbox: script$7,
+    ChevronDownIcon: script$B,
+    ChevronRightIcon: script$d,
+    CheckIcon: script$S,
+    MinusIcon: script$8,
+    SpinnerIcon: script$N
+  },
+  directives: {
+    ripple: Ripple
+  }
+};
+var _hoisted_1$1$1 = ["aria-label", "aria-selected", "aria-expanded", "aria-setsize", "aria-posinset", "aria-level", "aria-checked", "tabindex"];
+var _hoisted_2$3 = ["data-p-selected", "data-p-selectable"];
+function render$1$1(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_SpinnerIcon = resolveComponent("SpinnerIcon");
+  var _component_Checkbox = resolveComponent("Checkbox");
+  var _component_TreeNode = resolveComponent("TreeNode", true);
+  var _directive_ripple = resolveDirective("ripple");
+  return openBlock(), createElementBlock("li", mergeProps({
+    ref: "currentNode",
+    "class": _ctx.cx("node"),
+    role: "treeitem",
+    "aria-label": $options.label($props.node),
+    "aria-selected": $options.ariaSelected,
+    "aria-expanded": $options.expanded,
+    "aria-setsize": $props.node.children ? $props.node.children.length : 0,
+    "aria-posinset": $props.index + 1,
+    "aria-level": $props.level,
+    "aria-checked": $options.ariaChecked,
+    tabindex: $props.index === 0 ? 0 : -1,
+    onKeydown: _cache[4] || (_cache[4] = function() {
+      return $options.onKeyDown && $options.onKeyDown.apply($options, arguments);
+    })
+  }, $props.level === 1 ? $options.getPTOptions("node") : _ctx.ptm("nodeChildren")), [createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("nodeContent"),
+    onClick: _cache[2] || (_cache[2] = function() {
+      return $options.onClick && $options.onClick.apply($options, arguments);
+    }),
+    onTouchend: _cache[3] || (_cache[3] = function() {
+      return $options.onTouchEnd && $options.onTouchEnd.apply($options, arguments);
+    }),
+    style: $props.node.style
+  }, $options.getPTOptions("nodeContent"), {
+    "data-p-selected": $options.checkboxMode ? $options.checked : $options.selected,
+    "data-p-selectable": $options.selectable
+  }), [withDirectives((openBlock(), createElementBlock("button", mergeProps({
+    type: "button",
+    "class": _ctx.cx("nodeToggleButton"),
+    onClick: _cache[0] || (_cache[0] = function() {
+      return $options.toggle && $options.toggle.apply($options, arguments);
+    }),
+    tabindex: "-1",
+    "aria-hidden": "true"
+  }, $options.getPTOptions("nodeToggleButton")), [$props.node.loading && $props.loadingMode === "icon" ? (openBlock(), createElementBlock(Fragment, {
+    key: 0
+  }, [$props.templates["nodetoggleicon"] || $props.templates["nodetogglericon"] ? (openBlock(), createBlock(resolveDynamicComponent($props.templates["nodetoggleicon"] || $props.templates["nodetogglericon"]), {
+    key: 0,
+    "class": normalizeClass(_ctx.cx("nodeToggleIcon"))
+  }, null, 8, ["class"])) : (openBlock(), createBlock(_component_SpinnerIcon, mergeProps({
+    key: 1,
+    spin: "",
+    "class": _ctx.cx("nodetogglericon")
+  }, _ctx.ptm("nodeToggleIcon")), null, 16, ["class"]))], 64)) : (openBlock(), createElementBlock(Fragment, {
+    key: 1
+  }, [$props.templates["nodetoggleicon"] || $props.templates["togglericon"] ? (openBlock(), createBlock(resolveDynamicComponent($props.templates["nodetoggleicon"] || $props.templates["togglericon"]), {
+    key: 0,
+    node: $props.node,
+    expanded: $options.expanded,
+    "class": normalizeClass(_ctx.cx("nodeToggleIcon"))
+  }, null, 8, ["node", "expanded", "class"])) : $options.expanded ? (openBlock(), createBlock(resolveDynamicComponent($props.node.expandedIcon ? "span" : "ChevronDownIcon"), mergeProps({
+    key: 1,
+    "class": _ctx.cx("nodeToggleIcon")
+  }, $options.getPTOptions("nodeToggleIcon")), null, 16, ["class"])) : (openBlock(), createBlock(resolveDynamicComponent($props.node.collapsedIcon ? "span" : "ChevronRightIcon"), mergeProps({
+    key: 2,
+    "class": _ctx.cx("nodeToggleIcon")
+  }, $options.getPTOptions("nodeToggleIcon")), null, 16, ["class"]))], 64))], 16)), [[_directive_ripple]]), $options.checkboxMode ? (openBlock(), createBlock(_component_Checkbox, {
+    key: 0,
+    modelValue: $options.checked,
+    binary: true,
+    indeterminate: $options.partialChecked,
+    "class": normalizeClass(_ctx.cx("nodeCheckbox")),
+    tabindex: -1,
+    unstyled: _ctx.unstyled,
+    pt: $options.getPTOptions("nodeCheckbox"),
+    "data-p-partialchecked": $options.partialChecked
+  }, {
+    icon: withCtx(function(slotProps) {
+      return [$props.templates["checkboxicon"] ? (openBlock(), createBlock(resolveDynamicComponent($props.templates["checkboxicon"]), {
+        key: 0,
+        checked: slotProps.checked,
+        partialChecked: $options.partialChecked,
+        "class": normalizeClass(slotProps["class"])
+      }, null, 8, ["checked", "partialChecked", "class"])) : createCommentVNode("", true)];
+    }),
+    _: 1
+  }, 8, ["modelValue", "indeterminate", "class", "unstyled", "pt", "data-p-partialchecked"])) : createCommentVNode("", true), $props.templates["nodeicon"] ? (openBlock(), createBlock(resolveDynamicComponent($props.templates["nodeicon"]), mergeProps({
+    key: 1,
+    node: $props.node,
+    "class": [_ctx.cx("nodeIcon")]
+  }, $options.getPTOptions("nodeIcon")), null, 16, ["node", "class"])) : (openBlock(), createElementBlock("span", mergeProps({
+    key: 2,
+    "class": [_ctx.cx("nodeIcon"), $props.node.icon]
+  }, $options.getPTOptions("nodeIcon")), null, 16)), createBaseVNode("span", mergeProps({
+    "class": _ctx.cx("nodeLabel")
+  }, $options.getPTOptions("nodeLabel"), {
+    onKeydown: _cache[1] || (_cache[1] = withModifiers(function() {
+    }, ["stop"]))
+  }), [$props.templates[$props.node.type] || $props.templates["default"] ? (openBlock(), createBlock(resolveDynamicComponent($props.templates[$props.node.type] || $props.templates["default"]), {
+    key: 0,
+    node: $props.node,
+    selected: $options.checkboxMode ? $options.checked : $options.selected
+  }, null, 8, ["node", "selected"])) : (openBlock(), createElementBlock(Fragment, {
+    key: 1
+  }, [createTextVNode(toDisplayString$1($options.label($props.node)), 1)], 64))], 16)], 16, _hoisted_2$3), $options.hasChildren && $options.expanded ? (openBlock(), createElementBlock("ul", mergeProps({
+    key: 0,
+    "class": _ctx.cx("nodeChildren"),
+    role: "group"
+  }, _ctx.ptm("nodeChildren")), [(openBlock(true), createElementBlock(Fragment, null, renderList($props.node.children, function(childNode) {
+    return openBlock(), createBlock(_component_TreeNode, {
+      key: childNode.key,
+      node: childNode,
+      templates: $props.templates,
+      level: $props.level + 1,
+      loadingMode: $props.loadingMode,
+      expandedKeys: $props.expandedKeys,
+      onNodeToggle: $options.onChildNodeToggle,
+      onNodeClick: $options.onChildNodeClick,
+      selectionMode: $props.selectionMode,
+      selectionKeys: $props.selectionKeys,
+      onCheckboxChange: $options.propagateUp,
+      unstyled: _ctx.unstyled,
+      pt: _ctx.pt
+    }, null, 8, ["node", "templates", "level", "loadingMode", "expandedKeys", "onNodeToggle", "onNodeClick", "selectionMode", "selectionKeys", "onCheckboxChange", "unstyled", "pt"]);
+  }), 128))], 16)) : createCommentVNode("", true)], 16, _hoisted_1$1$1);
+}
+__name(render$1$1, "render$1$1");
+script$1$2.render = render$1$1;
+function _typeof$3(o) {
+  "@babel/helpers - typeof";
+  return _typeof$3 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$3(o);
+}
+__name(_typeof$3, "_typeof$3");
+function _createForOfIteratorHelper(r, e) {
+  var t = "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
+  if (!t) {
+    if (Array.isArray(r) || (t = _unsupportedIterableToArray$2(r)) || e) {
+      t && (r = t);
+      var _n = 0, F = /* @__PURE__ */ __name(function F2() {
+      }, "F");
+      return { s: F, n: /* @__PURE__ */ __name(function n() {
+        return _n >= r.length ? { done: true } : { done: false, value: r[_n++] };
+      }, "n"), e: /* @__PURE__ */ __name(function e2(r2) {
+        throw r2;
+      }, "e"), f: F };
+    }
+    throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+  }
+  var o, a = true, u = false;
+  return { s: /* @__PURE__ */ __name(function s() {
+    t = t.call(r);
+  }, "s"), n: /* @__PURE__ */ __name(function n() {
+    var r2 = t.next();
+    return a = r2.done, r2;
+  }, "n"), e: /* @__PURE__ */ __name(function e2(r2) {
+    u = true, o = r2;
+  }, "e"), f: /* @__PURE__ */ __name(function f() {
+    try {
+      a || null == t["return"] || t["return"]();
+    } finally {
+      if (u) throw o;
+    }
+  }, "f") };
+}
+__name(_createForOfIteratorHelper, "_createForOfIteratorHelper");
+function _toConsumableArray$2(r) {
+  return _arrayWithoutHoles$2(r) || _iterableToArray$2(r) || _unsupportedIterableToArray$2(r) || _nonIterableSpread$2();
+}
+__name(_toConsumableArray$2, "_toConsumableArray$2");
+function _nonIterableSpread$2() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread$2, "_nonIterableSpread$2");
+function _unsupportedIterableToArray$2(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray$2(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$2(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray$2, "_unsupportedIterableToArray$2");
+function _iterableToArray$2(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray$2, "_iterableToArray$2");
+function _arrayWithoutHoles$2(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray$2(r);
+}
+__name(_arrayWithoutHoles$2, "_arrayWithoutHoles$2");
+function _arrayLikeToArray$2(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray$2, "_arrayLikeToArray$2");
+function ownKeys$2(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$2, "ownKeys$2");
+function _objectSpread$2(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$2(Object(t), true).forEach(function(r2) {
+      _defineProperty$3(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$2(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$2, "_objectSpread$2");
+function _defineProperty$3(e, r, t) {
+  return (r = _toPropertyKey$3(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$3, "_defineProperty$3");
+function _toPropertyKey$3(t) {
+  var i2 = _toPrimitive$3(t, "string");
+  return "symbol" == _typeof$3(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$3, "_toPropertyKey$3");
+function _toPrimitive$3(t, r) {
+  if ("object" != _typeof$3(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$3(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$3, "_toPrimitive$3");
+var script$6 = {
+  name: "Tree",
+  "extends": script$2$1,
+  inheritAttrs: false,
+  emits: ["node-expand", "node-collapse", "update:expandedKeys", "update:selectionKeys", "node-select", "node-unselect", "filter"],
+  data: /* @__PURE__ */ __name(function data21() {
+    return {
+      d_expandedKeys: this.expandedKeys || {},
+      filterValue: null
+    };
+  }, "data"),
+  watch: {
+    expandedKeys: /* @__PURE__ */ __name(function expandedKeys(newValue) {
+      this.d_expandedKeys = newValue;
+    }, "expandedKeys")
+  },
+  methods: {
+    onNodeToggle: /* @__PURE__ */ __name(function onNodeToggle(node3) {
+      var key = node3.key;
+      if (this.d_expandedKeys[key]) {
+        delete this.d_expandedKeys[key];
+        this.$emit("node-collapse", node3);
+      } else {
+        this.d_expandedKeys[key] = true;
+        this.$emit("node-expand", node3);
+      }
+      this.d_expandedKeys = _objectSpread$2({}, this.d_expandedKeys);
+      this.$emit("update:expandedKeys", this.d_expandedKeys);
+    }, "onNodeToggle"),
+    onNodeClick: /* @__PURE__ */ __name(function onNodeClick(event2) {
+      if (this.selectionMode != null && event2.node.selectable !== false) {
+        var metaSelection = event2.nodeTouched ? false : this.metaKeySelection;
+        var _selectionKeys = metaSelection ? this.handleSelectionWithMetaKey(event2) : this.handleSelectionWithoutMetaKey(event2);
+        this.$emit("update:selectionKeys", _selectionKeys);
+      }
+    }, "onNodeClick"),
+    onCheckboxChange: /* @__PURE__ */ __name(function onCheckboxChange(event2) {
+      this.$emit("update:selectionKeys", event2.selectionKeys);
+      if (event2.check) this.$emit("node-select", event2.node);
+      else this.$emit("node-unselect", event2.node);
+    }, "onCheckboxChange"),
+    handleSelectionWithMetaKey: /* @__PURE__ */ __name(function handleSelectionWithMetaKey(event2) {
+      var originalEvent = event2.originalEvent;
+      var node3 = event2.node;
+      var metaKey = originalEvent.metaKey || originalEvent.ctrlKey;
+      var selected2 = this.isNodeSelected(node3);
+      var _selectionKeys;
+      if (selected2 && metaKey) {
+        if (this.isSingleSelectionMode()) {
+          _selectionKeys = {};
+        } else {
+          _selectionKeys = _objectSpread$2({}, this.selectionKeys);
+          delete _selectionKeys[node3.key];
+        }
+        this.$emit("node-unselect", node3);
+      } else {
+        if (this.isSingleSelectionMode()) {
+          _selectionKeys = {};
+        } else if (this.isMultipleSelectionMode()) {
+          _selectionKeys = !metaKey ? {} : this.selectionKeys ? _objectSpread$2({}, this.selectionKeys) : {};
+        }
+        _selectionKeys[node3.key] = true;
+        this.$emit("node-select", node3);
+      }
+      return _selectionKeys;
+    }, "handleSelectionWithMetaKey"),
+    handleSelectionWithoutMetaKey: /* @__PURE__ */ __name(function handleSelectionWithoutMetaKey(event2) {
+      var node3 = event2.node;
+      var selected2 = this.isNodeSelected(node3);
+      var _selectionKeys;
+      if (this.isSingleSelectionMode()) {
+        if (selected2) {
+          _selectionKeys = {};
+          this.$emit("node-unselect", node3);
+        } else {
+          _selectionKeys = {};
+          _selectionKeys[node3.key] = true;
+          this.$emit("node-select", node3);
+        }
+      } else {
+        if (selected2) {
+          _selectionKeys = _objectSpread$2({}, this.selectionKeys);
+          delete _selectionKeys[node3.key];
+          this.$emit("node-unselect", node3);
+        } else {
+          _selectionKeys = this.selectionKeys ? _objectSpread$2({}, this.selectionKeys) : {};
+          _selectionKeys[node3.key] = true;
+          this.$emit("node-select", node3);
+        }
+      }
+      return _selectionKeys;
+    }, "handleSelectionWithoutMetaKey"),
+    isSingleSelectionMode: /* @__PURE__ */ __name(function isSingleSelectionMode() {
+      return this.selectionMode === "single";
+    }, "isSingleSelectionMode"),
+    isMultipleSelectionMode: /* @__PURE__ */ __name(function isMultipleSelectionMode() {
+      return this.selectionMode === "multiple";
+    }, "isMultipleSelectionMode"),
+    isNodeSelected: /* @__PURE__ */ __name(function isNodeSelected(node3) {
+      return this.selectionMode && this.selectionKeys ? this.selectionKeys[node3.key] === true : false;
+    }, "isNodeSelected"),
+    isChecked: /* @__PURE__ */ __name(function isChecked(node3) {
+      return this.selectionKeys ? this.selectionKeys[node3.key] && this.selectionKeys[node3.key].checked : false;
+    }, "isChecked"),
+    isNodeLeaf: /* @__PURE__ */ __name(function isNodeLeaf(node3) {
+      return node3.leaf === false ? false : !(node3.children && node3.children.length);
+    }, "isNodeLeaf"),
+    onFilterKeydown: /* @__PURE__ */ __name(function onFilterKeydown(event2) {
+      if (event2.code === "Enter" || event2.code === "NumpadEnter") {
+        event2.preventDefault();
+      }
+      this.$emit("filter", {
+        originalEvent: event2,
+        value: event2.target.value
+      });
+    }, "onFilterKeydown"),
+    findFilteredNodes: /* @__PURE__ */ __name(function findFilteredNodes(node3, paramsWithoutNode) {
+      if (node3) {
+        var matched = false;
+        if (node3.children) {
+          var childNodes = _toConsumableArray$2(node3.children);
+          node3.children = [];
+          var _iterator = _createForOfIteratorHelper(childNodes), _step;
+          try {
+            for (_iterator.s(); !(_step = _iterator.n()).done; ) {
+              var childNode = _step.value;
+              var copyChildNode = _objectSpread$2({}, childNode);
+              if (this.isFilterMatched(copyChildNode, paramsWithoutNode)) {
+                matched = true;
+                node3.children.push(copyChildNode);
+              }
+            }
+          } catch (err) {
+            _iterator.e(err);
+          } finally {
+            _iterator.f();
+          }
+        }
+        if (matched) {
+          return true;
+        }
+      }
+    }, "findFilteredNodes"),
+    isFilterMatched: /* @__PURE__ */ __name(function isFilterMatched(node3, _ref) {
+      var searchFields3 = _ref.searchFields, filterText = _ref.filterText, strict = _ref.strict;
+      var matched = false;
+      var _iterator2 = _createForOfIteratorHelper(searchFields3), _step2;
+      try {
+        for (_iterator2.s(); !(_step2 = _iterator2.n()).done; ) {
+          var field = _step2.value;
+          var fieldValue = String(resolveFieldData(node3, field)).toLocaleLowerCase(this.filterLocale);
+          if (fieldValue.indexOf(filterText) > -1) {
+            matched = true;
+          }
+        }
+      } catch (err) {
+        _iterator2.e(err);
+      } finally {
+        _iterator2.f();
+      }
+      if (!matched || strict && !this.isNodeLeaf(node3)) {
+        matched = this.findFilteredNodes(node3, {
+          searchFields: searchFields3,
+          filterText,
+          strict
+        }) || matched;
+      }
+      return matched;
+    }, "isFilterMatched")
+  },
+  computed: {
+    filteredValue: /* @__PURE__ */ __name(function filteredValue() {
+      var filteredNodes = [];
+      var searchFields3 = this.filterBy.split(",");
+      var filterText = this.filterValue.trim().toLocaleLowerCase(this.filterLocale);
+      var strict = this.filterMode === "strict";
+      var _iterator3 = _createForOfIteratorHelper(this.value), _step3;
+      try {
+        for (_iterator3.s(); !(_step3 = _iterator3.n()).done; ) {
+          var node3 = _step3.value;
+          var _node = _objectSpread$2({}, node3);
+          var paramsWithoutNode = {
+            searchFields: searchFields3,
+            filterText,
+            strict
+          };
+          if (strict && (this.findFilteredNodes(_node, paramsWithoutNode) || this.isFilterMatched(_node, paramsWithoutNode)) || !strict && (this.isFilterMatched(_node, paramsWithoutNode) || this.findFilteredNodes(_node, paramsWithoutNode))) {
+            filteredNodes.push(_node);
+          }
+        }
+      } catch (err) {
+        _iterator3.e(err);
+      } finally {
+        _iterator3.f();
+      }
+      return filteredNodes;
+    }, "filteredValue"),
+    valueToRender: /* @__PURE__ */ __name(function valueToRender() {
+      if (this.filterValue && this.filterValue.trim().length > 0) return this.filteredValue;
+      else return this.value;
+    }, "valueToRender")
+  },
+  components: {
+    TreeNode: script$1$2,
+    InputText: script$O,
+    InputIcon: script$P,
+    IconField: script$Q,
+    SearchIcon: script$R,
+    SpinnerIcon: script$N
+  }
+};
+var _hoisted_1$6 = ["aria-labelledby", "aria-label"];
+function render$5(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_SpinnerIcon = resolveComponent("SpinnerIcon");
+  var _component_InputText = resolveComponent("InputText");
+  var _component_SearchIcon = resolveComponent("SearchIcon");
+  var _component_InputIcon = resolveComponent("InputIcon");
+  var _component_IconField = resolveComponent("IconField");
+  var _component_TreeNode = resolveComponent("TreeNode");
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": _ctx.cx("root")
+  }, _ctx.ptmi("root")), [_ctx.loading && _ctx.loadingMode === "mask" ? (openBlock(), createElementBlock("div", mergeProps({
+    key: 0,
+    "class": _ctx.cx("mask")
+  }, _ctx.ptm("mask")), [renderSlot(_ctx.$slots, "loadingicon", {
+    "class": normalizeClass(_ctx.cx("loadingIcon"))
+  }, function() {
+    return [_ctx.loadingIcon ? (openBlock(), createElementBlock("i", mergeProps({
+      key: 0,
+      "class": [_ctx.cx("loadingIcon"), "pi-spin", _ctx.loadingIcon]
+    }, _ctx.ptm("loadingIcon")), null, 16)) : (openBlock(), createBlock(_component_SpinnerIcon, mergeProps({
+      key: 1,
+      spin: "",
+      "class": _ctx.cx("loadingIcon")
+    }, _ctx.ptm("loadingIcon")), null, 16, ["class"]))];
+  })], 16)) : createCommentVNode("", true), _ctx.filter ? (openBlock(), createBlock(_component_IconField, mergeProps({
+    key: 1,
+    unstyled: _ctx.unstyled
+  }, _ctx.ptm("pcFilterContainer")), {
+    "default": withCtx(function() {
+      return [createVNode(_component_InputText, mergeProps({
+        modelValue: $data.filterValue,
+        "onUpdate:modelValue": _cache[0] || (_cache[0] = function($event) {
+          return $data.filterValue = $event;
+        }),
+        autocomplete: "off",
+        "class": _ctx.cx("pcFilterInput"),
+        placeholder: _ctx.filterPlaceholder,
+        unstyled: _ctx.unstyled,
+        onKeydown: $options.onFilterKeydown
+      }, _ctx.ptm("pcFilterInput")), null, 16, ["modelValue", "class", "placeholder", "unstyled", "onKeydown"]), createVNode(_component_InputIcon, mergeProps({
+        unstyled: _ctx.unstyled
+      }, _ctx.ptm("pcFilterIconContainer")), {
+        "default": withCtx(function() {
+          return [renderSlot(_ctx.$slots, _ctx.$slots.filtericon ? "filtericon" : "searchicon", {
+            "class": normalizeClass(_ctx.cx("filterIcon"))
+          }, function() {
+            return [createVNode(_component_SearchIcon, mergeProps({
+              "class": _ctx.cx("filterIcon")
+            }, _ctx.ptm("filterIcon")), null, 16, ["class"])];
+          })];
+        }),
+        _: 3
+      }, 16, ["unstyled"])];
+    }),
+    _: 3
+  }, 16, ["unstyled"])) : createCommentVNode("", true), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("wrapper"),
+    style: {
+      maxHeight: _ctx.scrollHeight
+    }
+  }, _ctx.ptm("wrapper")), [createBaseVNode("ul", mergeProps({
+    "class": _ctx.cx("rootChildren"),
+    role: "tree",
+    "aria-labelledby": _ctx.ariaLabelledby,
+    "aria-label": _ctx.ariaLabel
+  }, _ctx.ptm("rootChildren")), [(openBlock(true), createElementBlock(Fragment, null, renderList($options.valueToRender, function(node3, index2) {
+    return openBlock(), createBlock(_component_TreeNode, {
+      key: node3.key,
+      node: node3,
+      templates: _ctx.$slots,
+      level: _ctx.level + 1,
+      index: index2,
+      expandedKeys: $data.d_expandedKeys,
+      onNodeToggle: $options.onNodeToggle,
+      onNodeClick: $options.onNodeClick,
+      selectionMode: _ctx.selectionMode,
+      selectionKeys: _ctx.selectionKeys,
+      onCheckboxChange: $options.onCheckboxChange,
+      loadingMode: _ctx.loadingMode,
+      unstyled: _ctx.unstyled,
+      pt: _ctx.pt
+    }, null, 8, ["node", "templates", "level", "index", "expandedKeys", "onNodeToggle", "onNodeClick", "selectionMode", "selectionKeys", "onCheckboxChange", "loadingMode", "unstyled", "pt"]);
+  }), 128))], 16, _hoisted_1$6)], 16)], 16);
+}
+__name(render$5, "render$5");
+script$6.render = render$5;
+var theme$1 = /* @__PURE__ */ __name(function theme36(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-colorpicker {\n    display: inline-block;\n    position: relative;\n}\n\n.p-colorpicker-dragging {\n    cursor: pointer;\n}\n\n.p-colorpicker-preview {\n    width: ".concat(dt3("colorpicker.preview.width"), ";\n    height: ").concat(dt3("colorpicker.preview.height"), ";\n    padding: 0;\n    border: 0 none;\n    border-radius: ").concat(dt3("colorpicker.preview.border.radius"), ";\n    transition: background ").concat(dt3("colorpicker.transition.duration"), ", color ").concat(dt3("colorpicker.transition.duration"), ", border-color ").concat(dt3("colorpicker.transition.duration"), ", outline-color ").concat(dt3("colorpicker.transition.duration"), ", box-shadow ").concat(dt3("colorpicker.transition.duration"), ";\n    outline-color: transparent;\n    cursor: pointer;\n}\n\n.p-colorpicker-preview:enabled:focus-visible {\n    border-color: ").concat(dt3("colorpicker.preview.focus.border.color"), ";\n    box-shadow: ").concat(dt3("colorpicker.preview.focus.ring.shadow"), ";\n    outline: ").concat(dt3("colorpicker.preview.focus.ring.width"), " ").concat(dt3("colorpicker.preview.focus.ring.style"), " ").concat(dt3("colorpicker.preview.focus.ring.color"), ";\n    outline-offset: ").concat(dt3("colorpicker.preview.focus.ring.offset"), ";\n}\n\n.p-colorpicker-panel {\n    background: ").concat(dt3("colorpicker.panel.background"), ";\n    border: 1px solid ").concat(dt3("colorpicker.panel.border.color"), ";\n    border-radius: ").concat(dt3("colorpicker.panel.border.radius"), ";\n    box-shadow: ").concat(dt3("colorpicker.panel.shadow"), ";\n    width: 193px;\n    height: 166px;\n    position: absolute;\n    top: 0;\n    left: 0;\n}\n\n.p-colorpicker-panel-inline {\n    box-shadow: none;\n    position: static;\n}\n\n.p-colorpicker-content {\n    position: relative;\n}\n\n.p-colorpicker-color-selector {\n    width: 150px;\n    height: 150px;\n    top: 8px;\n    left: 8px;\n    position: absolute;\n}\n\n.p-colorpicker-color-background {\n    width: 100%;\n    height: 100%;\n    background: linear-gradient(to top, #000 0%, rgba(0, 0, 0, 0) 100%), linear-gradient(to right, #fff 0%, rgba(255, 255, 255, 0) 100%);\n}\n\n.p-colorpicker-color-handle {\n    position: absolute;\n    top: 0px;\n    left: 150px;\n    border-radius: 100%;\n    width: 10px;\n    height: 10px;\n    border-width: 1px;\n    border-style: solid;\n    margin: -5px 0 0 -5px;\n    cursor: pointer;\n    opacity: 0.85;\n    border-color: ").concat(dt3("colorpicker.handle.color"), ";\n}\n\n.p-colorpicker-hue {\n    width: 17px;\n    height: 150px;\n    top: 8px;\n    left: 167px;\n    position: absolute;\n    opacity: 0.85;\n    background: linear-gradient(0deg,\n        red 0,\n        #ff0 17%,\n        #0f0 33%,\n        #0ff 50%,\n        #00f 67%,\n        #f0f 83%,\n        red);\n}\n\n.p-colorpicker-hue-handle {\n    position: absolute;\n    top: 150px;\n    left: 0px;\n    width: 21px;\n    margin-left: -2px;\n    margin-top: -5px;\n    height: 10px;\n    border-width: 2px;\n    border-style: solid;\n    opacity: 0.85;\n    cursor: pointer;\n    border-color: ").concat(dt3("colorpicker.handle.color"), ";\n}\n");
+}, "theme");
+var classes$1 = {
+  root: "p-colorpicker p-component",
+  preview: /* @__PURE__ */ __name(function preview(_ref2) {
+    var props = _ref2.props;
+    return ["p-colorpicker-preview", {
+      "p-disabled": props.disabled
+    }];
+  }, "preview"),
+  panel: /* @__PURE__ */ __name(function panel2(_ref3) {
+    var props = _ref3.props;
+    return ["p-colorpicker-panel", {
+      "p-colorpicker-panel-inline": props.inline,
+      "p-disabled": props.disabled
+    }];
+  }, "panel"),
+  colorSelector: "p-colorpicker-color-selector",
+  colorBackground: "p-colorpicker-color-background",
+  colorHandle: "p-colorpicker-color-handle",
+  hue: "p-colorpicker-hue",
+  hueHandle: "p-colorpicker-hue-handle"
+};
+var ColorPickerStyle = BaseStyle.extend({
+  name: "colorpicker",
+  theme: theme$1,
+  classes: classes$1
+});
+var script$1$1 = {
+  name: "BaseColorPicker",
+  "extends": script$X,
+  props: {
+    modelValue: {
+      type: null,
+      "default": null
+    },
+    defaultColor: {
+      type: null,
+      "default": "ff0000"
+    },
+    inline: {
+      type: Boolean,
+      "default": false
+    },
+    format: {
+      type: String,
+      "default": "hex"
+    },
+    disabled: {
+      type: Boolean,
+      "default": false
+    },
+    tabindex: {
+      type: String,
+      "default": null
+    },
+    autoZIndex: {
+      type: Boolean,
+      "default": true
+    },
+    baseZIndex: {
+      type: Number,
+      "default": 0
+    },
+    appendTo: {
+      type: [String, Object],
+      "default": "body"
+    },
+    panelClass: null
+  },
+  style: ColorPickerStyle,
+  provide: /* @__PURE__ */ __name(function provide39() {
+    return {
+      $pcColorPicker: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$5 = {
+  name: "ColorPicker",
+  "extends": script$1$1,
+  inheritAttrs: false,
+  emits: ["update:modelValue", "change", "show", "hide"],
+  data: /* @__PURE__ */ __name(function data22() {
+    return {
+      overlayVisible: false
+    };
+  }, "data"),
+  hsbValue: null,
+  outsideClickListener: null,
+  documentMouseMoveListener: null,
+  documentMouseUpListener: null,
+  scrollHandler: null,
+  resizeListener: null,
+  hueDragging: null,
+  colorDragging: null,
+  selfUpdate: null,
+  picker: null,
+  colorSelector: null,
+  colorHandle: null,
+  hueView: null,
+  hueHandle: null,
+  watch: {
+    modelValue: {
+      immediate: true,
+      handler: /* @__PURE__ */ __name(function handler5(newValue) {
+        this.hsbValue = this.toHSB(newValue);
+        if (this.selfUpdate) this.selfUpdate = false;
+        else this.updateUI();
+      }, "handler")
+    }
+  },
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount14() {
+    this.unbindOutsideClickListener();
+    this.unbindDragListeners();
+    this.unbindResizeListener();
+    if (this.scrollHandler) {
+      this.scrollHandler.destroy();
+      this.scrollHandler = null;
+    }
+    if (this.picker && this.autoZIndex) {
+      ZIndex.clear(this.picker);
+    }
+    this.clearRefs();
+  }, "beforeUnmount"),
+  mounted: /* @__PURE__ */ __name(function mounted20() {
+    this.updateUI();
+  }, "mounted"),
+  methods: {
+    pickColor: /* @__PURE__ */ __name(function pickColor(event2) {
+      var rect = this.colorSelector.getBoundingClientRect();
+      var top = rect.top + (window.pageYOffset || document.documentElement.scrollTop || document.body.scrollTop || 0);
+      var left = rect.left + document.body.scrollLeft;
+      var saturation = Math.floor(100 * Math.max(0, Math.min(150, (event2.pageX || event2.changedTouches[0].pageX) - left)) / 150);
+      var brightness = Math.floor(100 * (150 - Math.max(0, Math.min(150, (event2.pageY || event2.changedTouches[0].pageY) - top))) / 150);
+      this.hsbValue = this.validateHSB({
+        h: this.hsbValue.h,
+        s: saturation,
+        b: brightness
+      });
+      this.selfUpdate = true;
+      this.updateColorHandle();
+      this.updateInput();
+      this.updateModel(event2);
+    }, "pickColor"),
+    pickHue: /* @__PURE__ */ __name(function pickHue(event2) {
+      var top = this.hueView.getBoundingClientRect().top + (window.pageYOffset || document.documentElement.scrollTop || document.body.scrollTop || 0);
+      this.hsbValue = this.validateHSB({
+        h: Math.floor(360 * (150 - Math.max(0, Math.min(150, (event2.pageY || event2.changedTouches[0].pageY) - top))) / 150),
+        s: 100,
+        b: 100
+      });
+      this.selfUpdate = true;
+      this.updateColorSelector();
+      this.updateHue();
+      this.updateModel(event2);
+      this.updateInput();
+    }, "pickHue"),
+    updateModel: /* @__PURE__ */ __name(function updateModel6(event2) {
+      var value3 = this.modelValue;
+      switch (this.format) {
+        case "hex":
+          value3 = this.HSBtoHEX(this.hsbValue);
+          break;
+        case "rgb":
+          value3 = this.HSBtoRGB(this.hsbValue);
+          break;
+        case "hsb":
+          value3 = this.hsbValue;
+          break;
+      }
+      this.$emit("update:modelValue", value3);
+      this.$emit("change", {
+        event: event2,
+        value: value3
+      });
+    }, "updateModel"),
+    updateColorSelector: /* @__PURE__ */ __name(function updateColorSelector() {
+      if (this.colorSelector) {
+        var hsbValue = this.validateHSB({
+          h: this.hsbValue.h,
+          s: 100,
+          b: 100
+        });
+        this.colorSelector.style.backgroundColor = "#" + this.HSBtoHEX(hsbValue);
+      }
+    }, "updateColorSelector"),
+    updateColorHandle: /* @__PURE__ */ __name(function updateColorHandle() {
+      if (this.colorHandle) {
+        this.colorHandle.style.left = Math.floor(150 * this.hsbValue.s / 100) + "px";
+        this.colorHandle.style.top = Math.floor(150 * (100 - this.hsbValue.b) / 100) + "px";
+      }
+    }, "updateColorHandle"),
+    updateHue: /* @__PURE__ */ __name(function updateHue() {
+      if (this.hueHandle) {
+        this.hueHandle.style.top = Math.floor(150 - 150 * this.hsbValue.h / 360) + "px";
+      }
+    }, "updateHue"),
+    updateInput: /* @__PURE__ */ __name(function updateInput2() {
+      if (this.$refs.input) {
+        this.$refs.input.style.backgroundColor = "#" + this.HSBtoHEX(this.hsbValue);
+      }
+    }, "updateInput"),
+    updateUI: /* @__PURE__ */ __name(function updateUI() {
+      this.updateHue();
+      this.updateColorHandle();
+      this.updateInput();
+      this.updateColorSelector();
+    }, "updateUI"),
+    validateHSB: /* @__PURE__ */ __name(function validateHSB(hsb) {
+      return {
+        h: Math.min(360, Math.max(0, hsb.h)),
+        s: Math.min(100, Math.max(0, hsb.s)),
+        b: Math.min(100, Math.max(0, hsb.b))
+      };
+    }, "validateHSB"),
+    validateRGB: /* @__PURE__ */ __name(function validateRGB(rgb) {
+      return {
+        r: Math.min(255, Math.max(0, rgb.r)),
+        g: Math.min(255, Math.max(0, rgb.g)),
+        b: Math.min(255, Math.max(0, rgb.b))
+      };
+    }, "validateRGB"),
+    validateHEX: /* @__PURE__ */ __name(function validateHEX(hex) {
+      var len = 6 - hex.length;
+      if (len > 0) {
+        var o = [];
+        for (var i2 = 0; i2 < len; i2++) {
+          o.push("0");
+        }
+        o.push(hex);
+        hex = o.join("");
+      }
+      return hex;
+    }, "validateHEX"),
+    HEXtoRGB: /* @__PURE__ */ __name(function HEXtoRGB(hex) {
+      var hexValue = parseInt(hex.indexOf("#") > -1 ? hex.substring(1) : hex, 16);
+      return {
+        r: hexValue >> 16,
+        g: (hexValue & 65280) >> 8,
+        b: hexValue & 255
+      };
+    }, "HEXtoRGB"),
+    HEXtoHSB: /* @__PURE__ */ __name(function HEXtoHSB(hex) {
+      return this.RGBtoHSB(this.HEXtoRGB(hex));
+    }, "HEXtoHSB"),
+    RGBtoHSB: /* @__PURE__ */ __name(function RGBtoHSB(rgb) {
+      var hsb = {
+        h: 0,
+        s: 0,
+        b: 0
+      };
+      var min = Math.min(rgb.r, rgb.g, rgb.b);
+      var max = Math.max(rgb.r, rgb.g, rgb.b);
+      var delta2 = max - min;
+      hsb.b = max;
+      hsb.s = max !== 0 ? 255 * delta2 / max : 0;
+      if (hsb.s !== 0) {
+        if (rgb.r === max) {
+          hsb.h = (rgb.g - rgb.b) / delta2;
+        } else if (rgb.g === max) {
+          hsb.h = 2 + (rgb.b - rgb.r) / delta2;
+        } else {
+          hsb.h = 4 + (rgb.r - rgb.g) / delta2;
+        }
+      } else {
+        hsb.h = -1;
+      }
+      hsb.h *= 60;
+      if (hsb.h < 0) {
+        hsb.h += 360;
+      }
+      hsb.s *= 100 / 255;
+      hsb.b *= 100 / 255;
+      return hsb;
+    }, "RGBtoHSB"),
+    HSBtoRGB: /* @__PURE__ */ __name(function HSBtoRGB(hsb) {
+      var rgb = {
+        r: null,
+        g: null,
+        b: null
+      };
+      var h2 = Math.round(hsb.h);
+      var s = Math.round(hsb.s * 255 / 100);
+      var v2 = Math.round(hsb.b * 255 / 100);
+      if (s === 0) {
+        rgb = {
+          r: v2,
+          g: v2,
+          b: v2
+        };
+      } else {
+        var t1 = v2;
+        var t2 = (255 - s) * v2 / 255;
+        var t3 = (t1 - t2) * (h2 % 60) / 60;
+        if (h2 === 360) h2 = 0;
+        if (h2 < 60) {
+          rgb.r = t1;
+          rgb.b = t2;
+          rgb.g = t2 + t3;
+        } else if (h2 < 120) {
+          rgb.g = t1;
+          rgb.b = t2;
+          rgb.r = t1 - t3;
+        } else if (h2 < 180) {
+          rgb.g = t1;
+          rgb.r = t2;
+          rgb.b = t2 + t3;
+        } else if (h2 < 240) {
+          rgb.b = t1;
+          rgb.r = t2;
+          rgb.g = t1 - t3;
+        } else if (h2 < 300) {
+          rgb.b = t1;
+          rgb.g = t2;
+          rgb.r = t2 + t3;
+        } else if (h2 < 360) {
+          rgb.r = t1;
+          rgb.g = t2;
+          rgb.b = t1 - t3;
+        } else {
+          rgb.r = 0;
+          rgb.g = 0;
+          rgb.b = 0;
+        }
+      }
+      return {
+        r: Math.round(rgb.r),
+        g: Math.round(rgb.g),
+        b: Math.round(rgb.b)
+      };
+    }, "HSBtoRGB"),
+    RGBtoHEX: /* @__PURE__ */ __name(function RGBtoHEX(rgb) {
+      var hex = [rgb.r.toString(16), rgb.g.toString(16), rgb.b.toString(16)];
+      for (var key in hex) {
+        if (hex[key].length === 1) {
+          hex[key] = "0" + hex[key];
+        }
+      }
+      return hex.join("");
+    }, "RGBtoHEX"),
+    HSBtoHEX: /* @__PURE__ */ __name(function HSBtoHEX(hsb) {
+      return this.RGBtoHEX(this.HSBtoRGB(hsb));
+    }, "HSBtoHEX"),
+    toHSB: /* @__PURE__ */ __name(function toHSB(value3) {
+      var hsb;
+      if (value3) {
+        switch (this.format) {
+          case "hex":
+            hsb = this.HEXtoHSB(value3);
+            break;
+          case "rgb":
+            hsb = this.RGBtoHSB(value3);
+            break;
+          case "hsb":
+            hsb = value3;
+            break;
+        }
+      } else {
+        hsb = this.HEXtoHSB(this.defaultColor);
+      }
+      return hsb;
+    }, "toHSB"),
+    onOverlayEnter: /* @__PURE__ */ __name(function onOverlayEnter3(el) {
+      this.updateUI();
+      this.alignOverlay();
+      this.bindOutsideClickListener();
+      this.bindScrollListener();
+      this.bindResizeListener();
+      if (this.autoZIndex) {
+        ZIndex.set("overlay", el, this.baseZIndex, this.$primevue.config.zIndex.overlay);
+      }
+      this.$emit("show");
+    }, "onOverlayEnter"),
+    onOverlayLeave: /* @__PURE__ */ __name(function onOverlayLeave3() {
+      this.unbindOutsideClickListener();
+      this.unbindScrollListener();
+      this.unbindResizeListener();
+      this.clearRefs();
+      this.$emit("hide");
+    }, "onOverlayLeave"),
+    onOverlayAfterLeave: /* @__PURE__ */ __name(function onOverlayAfterLeave3(el) {
+      if (this.autoZIndex) {
+        ZIndex.clear(el);
+      }
+    }, "onOverlayAfterLeave"),
+    alignOverlay: /* @__PURE__ */ __name(function alignOverlay6() {
+      if (this.appendTo === "self") relativePosition(this.picker, this.$refs.input);
+      else absolutePosition(this.picker, this.$refs.input);
+    }, "alignOverlay"),
+    onInputClick: /* @__PURE__ */ __name(function onInputClick2() {
+      if (this.disabled) {
+        return;
+      }
+      this.overlayVisible = !this.overlayVisible;
+    }, "onInputClick"),
+    onInputKeydown: /* @__PURE__ */ __name(function onInputKeydown(event2) {
+      switch (event2.code) {
+        case "Space":
+          this.overlayVisible = !this.overlayVisible;
+          event2.preventDefault();
+          break;
+        case "Escape":
+        case "Tab":
+          this.overlayVisible = false;
+          break;
+      }
+    }, "onInputKeydown"),
+    onColorMousedown: /* @__PURE__ */ __name(function onColorMousedown(event2) {
+      if (this.disabled) {
+        return;
+      }
+      this.bindDragListeners();
+      this.onColorDragStart(event2);
+    }, "onColorMousedown"),
+    onColorDragStart: /* @__PURE__ */ __name(function onColorDragStart(event2) {
+      if (this.disabled) {
+        return;
+      }
+      this.colorDragging = true;
+      this.pickColor(event2);
+      this.$el.setAttribute("p-colorpicker-dragging", "true");
+      !this.isUnstyled && addClass(this.$el, "p-colorpicker-dragging");
+      event2.preventDefault();
+    }, "onColorDragStart"),
+    onDrag: /* @__PURE__ */ __name(function onDrag2(event2) {
+      if (this.colorDragging) {
+        this.pickColor(event2);
+        event2.preventDefault();
+      }
+      if (this.hueDragging) {
+        this.pickHue(event2);
+        event2.preventDefault();
+      }
+    }, "onDrag"),
+    onDragEnd: /* @__PURE__ */ __name(function onDragEnd2() {
+      this.colorDragging = false;
+      this.hueDragging = false;
+      this.$el.setAttribute("p-colorpicker-dragging", "false");
+      !this.isUnstyled && removeClass(this.$el, "p-colorpicker-dragging");
+      this.unbindDragListeners();
+    }, "onDragEnd"),
+    onHueMousedown: /* @__PURE__ */ __name(function onHueMousedown(event2) {
+      if (this.disabled) {
+        return;
+      }
+      this.bindDragListeners();
+      this.onHueDragStart(event2);
+    }, "onHueMousedown"),
+    onHueDragStart: /* @__PURE__ */ __name(function onHueDragStart(event2) {
+      if (this.disabled) {
+        return;
+      }
+      this.hueDragging = true;
+      this.pickHue(event2);
+      !this.isUnstyled && addClass(this.$el, "p-colorpicker-dragging");
+    }, "onHueDragStart"),
+    isInputClicked: /* @__PURE__ */ __name(function isInputClicked2(event2) {
+      return this.$refs.input && this.$refs.input.isSameNode(event2.target);
+    }, "isInputClicked"),
+    bindDragListeners: /* @__PURE__ */ __name(function bindDragListeners2() {
+      this.bindDocumentMouseMoveListener();
+      this.bindDocumentMouseUpListener();
+    }, "bindDragListeners"),
+    unbindDragListeners: /* @__PURE__ */ __name(function unbindDragListeners2() {
+      this.unbindDocumentMouseMoveListener();
+      this.unbindDocumentMouseUpListener();
+    }, "unbindDragListeners"),
+    bindOutsideClickListener: /* @__PURE__ */ __name(function bindOutsideClickListener6() {
+      var _this = this;
+      if (!this.outsideClickListener) {
+        this.outsideClickListener = function(event2) {
+          if (_this.overlayVisible && _this.picker && !_this.picker.contains(event2.target) && !_this.isInputClicked(event2)) {
+            _this.overlayVisible = false;
+          }
+        };
+        document.addEventListener("click", this.outsideClickListener);
+      }
+    }, "bindOutsideClickListener"),
+    unbindOutsideClickListener: /* @__PURE__ */ __name(function unbindOutsideClickListener6() {
+      if (this.outsideClickListener) {
+        document.removeEventListener("click", this.outsideClickListener);
+        this.outsideClickListener = null;
+      }
+    }, "unbindOutsideClickListener"),
+    bindScrollListener: /* @__PURE__ */ __name(function bindScrollListener6() {
+      var _this2 = this;
+      if (!this.scrollHandler) {
+        this.scrollHandler = new ConnectedOverlayScrollHandler(this.$refs.container, function() {
+          if (_this2.overlayVisible) {
+            _this2.overlayVisible = false;
+          }
+        });
+      }
+      this.scrollHandler.bindScrollListener();
+    }, "bindScrollListener"),
+    unbindScrollListener: /* @__PURE__ */ __name(function unbindScrollListener6() {
+      if (this.scrollHandler) {
+        this.scrollHandler.unbindScrollListener();
+      }
+    }, "unbindScrollListener"),
+    bindResizeListener: /* @__PURE__ */ __name(function bindResizeListener7() {
+      var _this3 = this;
+      if (!this.resizeListener) {
+        this.resizeListener = function() {
+          if (_this3.overlayVisible && !isTouchDevice()) {
+            _this3.overlayVisible = false;
+          }
+        };
+        window.addEventListener("resize", this.resizeListener);
+      }
+    }, "bindResizeListener"),
+    unbindResizeListener: /* @__PURE__ */ __name(function unbindResizeListener7() {
+      if (this.resizeListener) {
+        window.removeEventListener("resize", this.resizeListener);
+        this.resizeListener = null;
+      }
+    }, "unbindResizeListener"),
+    bindDocumentMouseMoveListener: /* @__PURE__ */ __name(function bindDocumentMouseMoveListener() {
+      if (!this.documentMouseMoveListener) {
+        this.documentMouseMoveListener = this.onDrag.bind(this);
+        document.addEventListener("mousemove", this.documentMouseMoveListener);
+      }
+    }, "bindDocumentMouseMoveListener"),
+    unbindDocumentMouseMoveListener: /* @__PURE__ */ __name(function unbindDocumentMouseMoveListener() {
+      if (this.documentMouseMoveListener) {
+        document.removeEventListener("mousemove", this.documentMouseMoveListener);
+        this.documentMouseMoveListener = null;
+      }
+    }, "unbindDocumentMouseMoveListener"),
+    bindDocumentMouseUpListener: /* @__PURE__ */ __name(function bindDocumentMouseUpListener() {
+      if (!this.documentMouseUpListener) {
+        this.documentMouseUpListener = this.onDragEnd.bind(this);
+        document.addEventListener("mouseup", this.documentMouseUpListener);
+      }
+    }, "bindDocumentMouseUpListener"),
+    unbindDocumentMouseUpListener: /* @__PURE__ */ __name(function unbindDocumentMouseUpListener() {
+      if (this.documentMouseUpListener) {
+        document.removeEventListener("mouseup", this.documentMouseUpListener);
+        this.documentMouseUpListener = null;
+      }
+    }, "unbindDocumentMouseUpListener"),
+    pickerRef: /* @__PURE__ */ __name(function pickerRef(el) {
+      this.picker = el;
+    }, "pickerRef"),
+    colorSelectorRef: /* @__PURE__ */ __name(function colorSelectorRef(el) {
+      this.colorSelector = el;
+    }, "colorSelectorRef"),
+    colorHandleRef: /* @__PURE__ */ __name(function colorHandleRef(el) {
+      this.colorHandle = el;
+    }, "colorHandleRef"),
+    hueViewRef: /* @__PURE__ */ __name(function hueViewRef(el) {
+      this.hueView = el;
+    }, "hueViewRef"),
+    hueHandleRef: /* @__PURE__ */ __name(function hueHandleRef(el) {
+      this.hueHandle = el;
+    }, "hueHandleRef"),
+    clearRefs: /* @__PURE__ */ __name(function clearRefs() {
+      this.picker = null;
+      this.colorSelector = null;
+      this.colorHandle = null;
+      this.hueView = null;
+      this.hueHandle = null;
+    }, "clearRefs"),
+    onOverlayClick: /* @__PURE__ */ __name(function onOverlayClick5(event2) {
+      OverlayEventBus.emit("overlay-click", {
+        originalEvent: event2,
+        target: this.$el
+      });
+    }, "onOverlayClick")
+  },
+  components: {
+    Portal: script$z
+  }
+};
+var _hoisted_1$5 = ["tabindex", "disabled"];
+function render$4(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_Portal = resolveComponent("Portal");
+  return openBlock(), createElementBlock("div", mergeProps({
+    ref: "container",
+    "class": _ctx.cx("root")
+  }, _ctx.ptmi("root")), [!_ctx.inline ? (openBlock(), createElementBlock("input", mergeProps({
+    key: 0,
+    ref: "input",
+    type: "text",
+    "class": _ctx.cx("preview"),
+    readonly: "readonly",
+    tabindex: _ctx.tabindex,
+    disabled: _ctx.disabled,
+    onClick: _cache[0] || (_cache[0] = function() {
+      return $options.onInputClick && $options.onInputClick.apply($options, arguments);
+    }),
+    onKeydown: _cache[1] || (_cache[1] = function() {
+      return $options.onInputKeydown && $options.onInputKeydown.apply($options, arguments);
+    })
+  }, _ctx.ptm("preview")), null, 16, _hoisted_1$5)) : createCommentVNode("", true), createVNode(_component_Portal, {
+    appendTo: _ctx.appendTo,
+    disabled: _ctx.inline
+  }, {
+    "default": withCtx(function() {
+      return [createVNode(Transition, mergeProps({
+        name: "p-connected-overlay",
+        onEnter: $options.onOverlayEnter,
+        onLeave: $options.onOverlayLeave,
+        onAfterLeave: $options.onOverlayAfterLeave
+      }, _ctx.ptm("transition")), {
+        "default": withCtx(function() {
+          return [(_ctx.inline ? true : $data.overlayVisible) ? (openBlock(), createElementBlock("div", mergeProps({
+            key: 0,
+            ref: $options.pickerRef,
+            "class": [_ctx.cx("panel"), _ctx.panelClass],
+            onClick: _cache[10] || (_cache[10] = function() {
+              return $options.onOverlayClick && $options.onOverlayClick.apply($options, arguments);
+            })
+          }, _ctx.ptm("panel")), [createBaseVNode("div", mergeProps({
+            "class": _ctx.cx("content")
+          }, _ctx.ptm("content")), [createBaseVNode("div", mergeProps({
+            ref: $options.colorSelectorRef,
+            "class": _ctx.cx("colorSelector"),
+            onMousedown: _cache[2] || (_cache[2] = function($event) {
+              return $options.onColorMousedown($event);
+            }),
+            onTouchstart: _cache[3] || (_cache[3] = function($event) {
+              return $options.onColorDragStart($event);
+            }),
+            onTouchmove: _cache[4] || (_cache[4] = function($event) {
+              return $options.onDrag($event);
+            }),
+            onTouchend: _cache[5] || (_cache[5] = function($event) {
+              return $options.onDragEnd();
+            })
+          }, _ctx.ptm("colorSelector")), [createBaseVNode("div", mergeProps({
+            "class": _ctx.cx("colorBackground")
+          }, _ctx.ptm("colorBackground")), [createBaseVNode("div", mergeProps({
+            ref: $options.colorHandleRef,
+            "class": _ctx.cx("colorHandle")
+          }, _ctx.ptm("colorHandle")), null, 16)], 16)], 16), createBaseVNode("div", mergeProps({
+            ref: $options.hueViewRef,
+            "class": _ctx.cx("hue"),
+            onMousedown: _cache[6] || (_cache[6] = function($event) {
+              return $options.onHueMousedown($event);
+            }),
+            onTouchstart: _cache[7] || (_cache[7] = function($event) {
+              return $options.onHueDragStart($event);
+            }),
+            onTouchmove: _cache[8] || (_cache[8] = function($event) {
+              return $options.onDrag($event);
+            }),
+            onTouchend: _cache[9] || (_cache[9] = function($event) {
+              return $options.onDragEnd();
+            })
+          }, _ctx.ptm("hue")), [createBaseVNode("div", mergeProps({
+            ref: $options.hueHandleRef,
+            "class": _ctx.cx("hueHandle")
+          }, _ctx.ptm("hueHandle")), null, 16)], 16)], 16)], 16)) : createCommentVNode("", true)];
+        }),
+        _: 1
+      }, 16, ["onEnter", "onLeave", "onAfterLeave"])];
+    }),
+    _: 1
+  }, 8, ["appendTo", "disabled"])], 16);
+}
+__name(render$4, "render$4");
+script$5.render = render$4;
+const _withScopeId = /* @__PURE__ */ __name((n) => (pushScopeId("data-v-91077f2a"), n = n(), popScopeId(), n), "_withScopeId");
+const _hoisted_1$4 = { class: "p-fluid" };
+const _hoisted_2$2 = { class: "field icon-field" };
+const _hoisted_3$1 = { for: "icon" };
+const _hoisted_4$1 = { class: "field color-field" };
+const _hoisted_5 = { for: "color" };
+const _hoisted_6 = { class: "color-picker-container" };
+const _hoisted_7 = {
+  key: 1,
+  class: "pi pi-palette",
+  style: { fontSize: "1.2rem" }
+};
+const _sfc_main$4 = /* @__PURE__ */ defineComponent({
+  __name: "CustomizationDialog",
+  props: {
+    modelValue: { type: Boolean },
+    initialIcon: {},
+    initialColor: {}
+  },
+  emits: ["update:modelValue", "confirm"],
+  setup(__props, { emit: __emit }) {
+    const { t } = useI18n();
+    const props = __props;
+    const emit2 = __emit;
+    const visible = computed({
+      get: /* @__PURE__ */ __name(() => props.modelValue, "get"),
+      set: /* @__PURE__ */ __name((value3) => emit2("update:modelValue", value3), "set")
+    });
+    const nodeBookmarkStore = useNodeBookmarkStore();
+    const iconOptions = [
+      { name: t("bookmark"), value: nodeBookmarkStore.defaultBookmarkIcon },
+      { name: t("folder"), value: "pi-folder" },
+      { name: t("star"), value: "pi-star" },
+      { name: t("heart"), value: "pi-heart" },
+      { name: t("file"), value: "pi-file" },
+      { name: t("inbox"), value: "pi-inbox" },
+      { name: t("box"), value: "pi-box" },
+      { name: t("briefcase"), value: "pi-briefcase" }
+    ];
+    const colorOptions = [
+      { name: t("default"), value: nodeBookmarkStore.defaultBookmarkColor },
+      { name: t("blue"), value: "#007bff" },
+      { name: t("green"), value: "#28a745" },
+      { name: t("red"), value: "#dc3545" },
+      { name: t("pink"), value: "#e83e8c" },
+      { name: t("yellow"), value: "#ffc107" },
+      { name: t("custom"), value: "custom" }
+    ];
+    const defaultIcon = iconOptions.find(
+      (option4) => option4.value === nodeBookmarkStore.defaultBookmarkIcon
+    );
+    const defaultColor = colorOptions.find(
+      (option4) => option4.value === nodeBookmarkStore.defaultBookmarkColor
+    );
+    const selectedIcon = ref(defaultIcon);
+    const selectedColor = ref(defaultColor);
+    const finalColor = computed(
+      () => selectedColor.value.value === "custom" ? `#${customColor.value}` : selectedColor.value.value
+    );
+    const customColor = ref("000000");
+    const closeDialog = /* @__PURE__ */ __name(() => {
+      visible.value = false;
+    }, "closeDialog");
+    const confirmCustomization = /* @__PURE__ */ __name(() => {
+      emit2("confirm", selectedIcon.value.value, finalColor.value);
+      closeDialog();
+    }, "confirmCustomization");
+    const resetCustomization = /* @__PURE__ */ __name(() => {
+      selectedIcon.value = iconOptions.find((option4) => option4.value === props.initialIcon) || defaultIcon;
+      const colorOption = colorOptions.find(
+        (option4) => option4.value === props.initialColor
+      );
+      if (!props.initialColor) {
+        selectedColor.value = defaultColor;
+      } else if (!colorOption) {
+        customColor.value = props.initialColor.replace("#", "");
+        selectedColor.value = { name: "Custom", value: "custom" };
+      } else {
+        selectedColor.value = colorOption;
+      }
+    }, "resetCustomization");
+    watch(
+      () => props.modelValue,
+      (newValue) => {
+        if (newValue) {
+          resetCustomization();
+        }
+      },
+      { immediate: true }
+    );
+    return (_ctx, _cache) => {
+      const _directive_tooltip = resolveDirective("tooltip");
+      return openBlock(), createBlock(unref(script$k), {
+        visible: visible.value,
+        "onUpdate:visible": _cache[3] || (_cache[3] = ($event) => visible.value = $event),
+        header: _ctx.$t("customizeFolder")
+      }, {
+        footer: withCtx(() => [
+          createVNode(unref(script$J), {
+            label: _ctx.$t("reset"),
+            icon: "pi pi-refresh",
+            onClick: resetCustomization,
+            class: "p-button-text"
+          }, null, 8, ["label"]),
+          createVNode(unref(script$J), {
+            label: _ctx.$t("confirm"),
+            icon: "pi pi-check",
+            onClick: confirmCustomization,
+            autofocus: ""
+          }, null, 8, ["label"])
+        ]),
+        default: withCtx(() => [
+          createBaseVNode("div", _hoisted_1$4, [
+            createBaseVNode("div", _hoisted_2$2, [
+              createBaseVNode("label", _hoisted_3$1, toDisplayString$1(_ctx.$t("icon")), 1),
+              createVNode(unref(script$i), {
+                modelValue: selectedIcon.value,
+                "onUpdate:modelValue": _cache[0] || (_cache[0] = ($event) => selectedIcon.value = $event),
+                options: iconOptions,
+                optionLabel: "name",
+                dataKey: "value"
+              }, {
+                option: withCtx((slotProps) => [
+                  createBaseVNode("i", {
+                    class: normalizeClass(["pi", slotProps.option.value, "mr-2"]),
+                    style: normalizeStyle({ color: finalColor.value })
+                  }, null, 6)
+                ]),
+                _: 1
+              }, 8, ["modelValue"])
+            ]),
+            createVNode(unref(script$F)),
+            createBaseVNode("div", _hoisted_4$1, [
+              createBaseVNode("label", _hoisted_5, toDisplayString$1(_ctx.$t("color")), 1),
+              createBaseVNode("div", _hoisted_6, [
+                createVNode(unref(script$i), {
+                  modelValue: selectedColor.value,
+                  "onUpdate:modelValue": _cache[1] || (_cache[1] = ($event) => selectedColor.value = $event),
+                  options: colorOptions,
+                  optionLabel: "name",
+                  dataKey: "value"
+                }, {
+                  option: withCtx((slotProps) => [
+                    slotProps.option.value !== "custom" ? (openBlock(), createElementBlock("div", {
+                      key: 0,
+                      style: normalizeStyle({
+                        width: "20px",
+                        height: "20px",
+                        backgroundColor: slotProps.option.value,
+                        borderRadius: "50%"
+                      })
+                    }, null, 4)) : withDirectives((openBlock(), createElementBlock("i", _hoisted_7, null, 512)), [
+                      [_directive_tooltip, _ctx.$t("customColor")]
+                    ])
+                  ]),
+                  _: 1
+                }, 8, ["modelValue"]),
+                selectedColor.value.value === "custom" ? (openBlock(), createBlock(unref(script$5), {
+                  key: 0,
+                  modelValue: customColor.value,
+                  "onUpdate:modelValue": _cache[2] || (_cache[2] = ($event) => customColor.value = $event)
+                }, null, 8, ["modelValue"])) : createCommentVNode("", true)
+              ])
+            ])
+          ])
+        ]),
+        _: 1
+      }, 8, ["visible", "header"]);
+    };
+  }
+});
+const FolderCustomizationDialog = /* @__PURE__ */ _export_sfc(_sfc_main$4, [["__scopeId", "data-v-91077f2a"]]);
+function useTreeExpansion() {
+  const expandedKeys2 = ref({});
+  const toggleNode = /* @__PURE__ */ __name((node3) => {
+    if (node3.key && typeof node3.key === "string") {
+      if (node3.key in expandedKeys2.value) {
+        delete expandedKeys2.value[node3.key];
+      } else {
+        expandedKeys2.value[node3.key] = true;
+      }
+    }
+  }, "toggleNode");
+  const toggleNodeRecursive = /* @__PURE__ */ __name((node3) => {
+    if (node3.key && typeof node3.key === "string") {
+      if (node3.key in expandedKeys2.value) {
+        collapseNode(node3);
+      } else {
+        expandNode(node3);
+      }
+    }
+  }, "toggleNodeRecursive");
+  const expandNode = /* @__PURE__ */ __name((node3) => {
+    if (node3.key && typeof node3.key === "string" && node3.children && node3.children.length) {
+      expandedKeys2.value[node3.key] = true;
+      for (const child of node3.children) {
+        expandNode(child);
+      }
+    }
+  }, "expandNode");
+  const collapseNode = /* @__PURE__ */ __name((node3) => {
+    if (node3.key && typeof node3.key === "string" && node3.children && node3.children.length) {
+      delete expandedKeys2.value[node3.key];
+      for (const child of node3.children) {
+        collapseNode(child);
+      }
+    }
+  }, "collapseNode");
+  const toggleNodeOnEvent = /* @__PURE__ */ __name((e, node3) => {
+    if (e.ctrlKey) {
+      toggleNodeRecursive(node3);
+    } else {
+      toggleNode(node3);
+    }
+  }, "toggleNodeOnEvent");
+  return {
+    expandedKeys: expandedKeys2,
+    toggleNode,
+    toggleNodeRecursive,
+    expandNode,
+    collapseNode,
+    toggleNodeOnEvent
+  };
+}
+__name(useTreeExpansion, "useTreeExpansion");
+const _sfc_main$3 = /* @__PURE__ */ defineComponent({
+  __name: "NodeLibrarySidebarTab",
+  setup(__props) {
+    const { t } = useI18n();
+    const toast = useToast();
+    const nodeDefStore = useNodeDefStore();
+    const { expandedKeys: expandedKeys2, expandNode, toggleNodeOnEvent } = useTreeExpansion();
+    const searchFilter = ref(null);
+    const alphabeticalSort = ref(false);
+    const hoveredComfyNodeName = ref(null);
+    const hoveredComfyNode = computed(() => {
+      if (!hoveredComfyNodeName.value) {
+        return null;
+      }
+      return nodeDefStore.nodeDefsByName[hoveredComfyNodeName.value] || null;
+    });
+    const previewRef = ref(null);
+    const searchQuery = ref("");
+    const settingStore = useSettingStore();
+    const sidebarLocation = computed(
+      () => settingStore.get("Comfy.Sidebar.Location")
+    );
+    const nodePreviewStyle = ref({
+      position: "absolute",
+      top: "0px",
+      left: "0px"
+    });
+    const nodeBookmarkStore = useNodeBookmarkStore();
+    const allNodesRoot = computed(() => {
+      return {
+        key: "all-nodes",
+        label: "All Nodes",
+        children: [
+          ...nodeBookmarkStore.bookmarkedRoot.children ?? [],
+          ...nodeDefStore.nodeTree.children
+        ]
+      };
+    });
+    const root26 = computed(() => {
+      const root27 = filteredRoot.value || allNodesRoot.value;
+      return alphabeticalSort.value ? sortedTree(root27) : root27;
+    });
+    const renderedRoot = computed(() => {
+      return fillNodeInfo(root26.value);
+    });
+    const getTreeNodeIcon = /* @__PURE__ */ __name((node3) => {
+      if (node3.leaf) {
+        return "pi pi-circle-fill";
+      }
+      if (node3.data && node3.data.isDummyFolder) {
+        const customization = nodeBookmarkStore.bookmarksCustomization[node3.data.nodePath];
+        if (customization?.icon) {
+          return "pi " + customization.icon;
+        }
+        return "pi pi-bookmark-fill";
+      }
+      const isExpanded = expandedKeys2.value[node3.key];
+      return isExpanded ? "pi pi-folder-open" : "pi pi-folder";
+    }, "getTreeNodeIcon");
+    const fillNodeInfo = /* @__PURE__ */ __name((node3) => {
+      const children = node3.children?.map(fillNodeInfo);
+      return {
+        ...node3,
+        icon: getTreeNodeIcon(node3),
+        children,
+        type: node3.leaf ? "node" : "folder",
+        totalNodes: node3.leaf ? 1 : children.reduce((acc, child) => acc + child.totalNodes, 0)
+      };
+    }, "fillNodeInfo");
+    const handleNodeHover = /* @__PURE__ */ __name(async (event2, nodeName) => {
+      hoveredComfyNodeName.value = nodeName || null;
+      if (!nodeName) return;
+      const hoverTarget = event2.target;
+      const targetRect = hoverTarget.getBoundingClientRect();
+      await nextTick();
+      const previewHeight = previewRef.value?.$el.offsetHeight || 0;
+      const availableSpaceBelow = window.innerHeight - targetRect.bottom;
+      nodePreviewStyle.value.top = previewHeight > availableSpaceBelow ? `${Math.max(0, targetRect.top - (previewHeight - availableSpaceBelow) - 20)}px` : `${targetRect.top - 40}px`;
+      if (sidebarLocation.value === "left") {
+        nodePreviewStyle.value.left = `${targetRect.right}px`;
+      } else {
+        nodePreviewStyle.value.left = `${targetRect.left - 400}px`;
+      }
+    }, "handleNodeHover");
+    const handleItemDropped = /* @__PURE__ */ __name((node3) => {
+      expandedKeys2.value[node3.key] = true;
+    }, "handleItemDropped");
+    const insertNode = /* @__PURE__ */ __name((nodeDef) => {
+      app$1.addNodeOnGraph(nodeDef, { pos: app$1.getCanvasCenter() });
+    }, "insertNode");
+    const filteredRoot = ref(null);
+    const filters = ref([]);
+    const handleSearch = /* @__PURE__ */ __name((query) => {
+      if (query.length < 3 && !filters.value.length) {
+        filteredRoot.value = null;
+        expandedKeys2.value = {};
+        return;
+      }
+      const f = filters.value.map((f2) => f2.filter);
+      const matchedNodes = nodeDefStore.nodeSearchService.searchNode(
+        query,
+        f,
+        {
+          limit: 64
+        },
+        {
+          matchWildcards: false
+        }
+      );
+      filteredRoot.value = buildNodeDefTree(matchedNodes);
+      expandNode(filteredRoot.value);
+    }, "handleSearch");
+    const onNodeContentClick = /* @__PURE__ */ __name((e, node3) => {
+      if (!node3.key) return;
+      if (node3.type === "folder") {
+        toggleNodeOnEvent(e, node3);
+      } else {
+        insertNode(node3.data);
+      }
+    }, "onNodeContentClick");
+    const menu = ref(null);
+    const menuTargetNode = ref(null);
+    const renameEditingNode = ref(null);
+    const menuItems = computed(() => [
+      {
+        label: t("newFolder"),
+        icon: "pi pi-folder-plus",
+        command: /* @__PURE__ */ __name(() => {
+          if (menuTargetNode.value?.data) {
+            addNewBookmarkFolder(menuTargetNode.value?.data);
+          }
+        }, "command")
+      },
+      {
+        label: t("delete"),
+        icon: "pi pi-trash",
+        command: /* @__PURE__ */ __name(() => {
+          if (menuTargetNode.value?.data) {
+            nodeBookmarkStore.deleteBookmarkFolder(menuTargetNode.value.data);
+          }
+        }, "command")
+      },
+      {
+        label: t("rename"),
+        icon: "pi pi-file-edit",
+        command: /* @__PURE__ */ __name(() => {
+          renameEditingNode.value = menuTargetNode.value;
+        }, "command")
+      },
+      {
+        label: t("customize"),
+        icon: "pi pi-palette",
+        command: /* @__PURE__ */ __name(() => {
+          initialIcon.value = nodeBookmarkStore.bookmarksCustomization[menuTargetNode.value.data.nodePath]?.icon || nodeBookmarkStore.defaultBookmarkIcon;
+          initialColor.value = nodeBookmarkStore.bookmarksCustomization[menuTargetNode.value.data.nodePath]?.color || nodeBookmarkStore.defaultBookmarkColor;
+          showCustomizationDialog.value = true;
+        }, "command")
+      }
+    ]);
+    const handleContextMenu = /* @__PURE__ */ __name((node3, e) => {
+      const nodeDef = node3.data;
+      if (nodeDef?.isDummyFolder) {
+        menuTargetNode.value = node3;
+        menu.value?.show(e);
+      }
+    }, "handleContextMenu");
+    const handleRename = /* @__PURE__ */ __name((node3, newName) => {
+      if (node3.data && node3.data.isDummyFolder) {
+        try {
+          nodeBookmarkStore.renameBookmarkFolder(node3.data, newName);
+        } catch (e) {
+          toast.add({
+            severity: "error",
+            summary: t("error"),
+            detail: e.message,
+            life: 3e3
+          });
+        }
+      }
+      renameEditingNode.value = null;
+    }, "handleRename");
+    const addNewBookmarkFolder = /* @__PURE__ */ __name((parent) => {
+      const newFolderKey = "root/" + nodeBookmarkStore.addNewBookmarkFolder(parent).slice(0, -1);
+      nextTick(() => {
+        renameEditingNode.value = findNodeByKey(renderedRoot.value, newFolderKey);
+      });
+    }, "addNewBookmarkFolder");
+    const showCustomizationDialog = ref(false);
+    const initialIcon = ref(nodeBookmarkStore.defaultBookmarkIcon);
+    const initialColor = ref(nodeBookmarkStore.defaultBookmarkColor);
+    const updateCustomization = /* @__PURE__ */ __name((icon2, color) => {
+      if (menuTargetNode.value?.data) {
+        nodeBookmarkStore.updateBookmarkCustomization(
+          menuTargetNode.value.data.nodePath,
+          { icon: icon2, color }
+        );
+      }
+    }, "updateCustomization");
+    const onAddFilter = /* @__PURE__ */ __name((filterAndValue) => {
+      filters.value.push({
+        filter: filterAndValue,
+        badge: filterAndValue[0].invokeSequence.toUpperCase(),
+        badgeClass: filterAndValue[0].invokeSequence + "-badge",
+        text: filterAndValue[1],
+        id: +/* @__PURE__ */ new Date()
+      });
+      handleSearch(searchQuery.value);
+    }, "onAddFilter");
+    const onRemoveFilter = /* @__PURE__ */ __name((filterAndValue) => {
+      const index2 = filters.value.findIndex((f) => f === filterAndValue);
+      if (index2 !== -1) {
+        filters.value.splice(index2, 1);
+      }
+      handleSearch(searchQuery.value);
+    }, "onRemoveFilter");
+    return (_ctx, _cache) => {
+      const _directive_tooltip = resolveDirective("tooltip");
+      return openBlock(), createElementBlock(Fragment, null, [
+        createVNode(SidebarTabTemplate, {
+          title: _ctx.$t("sideToolbar.nodeLibrary")
+        }, {
+          "tool-buttons": withCtx(() => [
+            withDirectives(createVNode(unref(script$J), {
+              class: "new-folder-button",
+              icon: "pi pi-folder-plus",
+              text: "",
+              severity: "secondary",
+              onClick: _cache[0] || (_cache[0] = ($event) => addNewBookmarkFolder())
+            }, null, 512), [
+              [_directive_tooltip, _ctx.$t("newFolder")]
+            ]),
+            withDirectives(createVNode(unref(script$J), {
+              class: "sort-button",
+              icon: alphabeticalSort.value ? "pi pi-sort-alpha-down" : "pi pi-sort-alt",
+              text: "",
+              severity: "secondary",
+              onClick: _cache[1] || (_cache[1] = ($event) => alphabeticalSort.value = !alphabeticalSort.value)
+            }, null, 8, ["icon"]), [
+              [_directive_tooltip, _ctx.$t("sideToolbar.nodeLibraryTab.sortOrder")]
+            ])
+          ]),
+          body: withCtx(() => [
+            createVNode(SearchBox, {
+              class: "node-lib-search-box",
+              modelValue: searchQuery.value,
+              "onUpdate:modelValue": _cache[2] || (_cache[2] = ($event) => searchQuery.value = $event),
+              onSearch: handleSearch,
+              onShowFilter: _cache[3] || (_cache[3] = ($event) => searchFilter.value.toggle($event)),
+              onRemoveFilter,
+              placeholder: _ctx.$t("searchNodes") + "...",
+              "filter-icon": "pi pi-filter",
+              filters: filters.value
+            }, null, 8, ["modelValue", "placeholder", "filters"]),
+            createVNode(unref(script$9), {
+              ref_key: "searchFilter",
+              ref: searchFilter,
+              class: "node-lib-filter-popup"
+            }, {
+              default: withCtx(() => [
+                createVNode(NodeSearchFilter, { onAddFilter })
+              ]),
+              _: 1
+            }, 512),
+            createVNode(unref(script$6), {
+              class: "node-lib-tree",
+              expandedKeys: unref(expandedKeys2),
+              "onUpdate:expandedKeys": _cache[4] || (_cache[4] = ($event) => isRef(expandedKeys2) ? expandedKeys2.value = $event : null),
+              selectionMode: "single",
+              value: renderedRoot.value.children,
+              pt: {
+                nodeLabel: "node-lib-tree-node-label",
+                nodeContent: /* @__PURE__ */ __name(({ props }) => ({
+                  onClick: /* @__PURE__ */ __name((e) => onNodeContentClick(e, props.node), "onClick"),
+                  onMouseenter: /* @__PURE__ */ __name((event2) => handleNodeHover(event2, props.node?.data?.name), "onMouseenter"),
+                  onMouseleave: /* @__PURE__ */ __name(() => {
+                    hoveredComfyNodeName.value = null;
+                  }, "onMouseleave"),
+                  onContextmenu: /* @__PURE__ */ __name((e) => handleContextMenu(props.node, e), "onContextmenu")
+                }), "nodeContent"),
+                nodeToggleButton: /* @__PURE__ */ __name(() => ({
+                  onClick: /* @__PURE__ */ __name((e) => {
+                    e.stopImmediatePropagation();
+                  }, "onClick")
+                }), "nodeToggleButton")
+              }
+            }, {
+              folder: withCtx(({ node: node3 }) => [
+                createVNode(NodeTreeFolder, {
+                  node: node3,
+                  isBookmarkFolder: !!node3.data && node3.data.isDummyFolder,
+                  onItemDropped: handleItemDropped
+                }, {
+                  "folder-label": withCtx(({ node: node22 }) => [
+                    createVNode(EditableText, {
+                      modelValue: node22.label,
+                      isEditing: renameEditingNode.value?.key === node22.key,
+                      onEdit: /* @__PURE__ */ __name((newName) => handleRename(node22, newName), "onEdit")
+                    }, null, 8, ["modelValue", "isEditing", "onEdit"])
+                  ]),
+                  _: 2
+                }, 1032, ["node", "isBookmarkFolder"])
+              ]),
+              node: withCtx(({ node: node3 }) => [
+                createVNode(NodeTreeLeaf, {
+                  node: node3.data,
+                  isBookmarked: unref(nodeBookmarkStore).isBookmarked(node3.data),
+                  onToggleBookmark: /* @__PURE__ */ __name(($event) => unref(nodeBookmarkStore).toggleBookmark(node3.data), "onToggleBookmark")
+                }, null, 8, ["node", "isBookmarked", "onToggleBookmark"])
+              ]),
+              _: 1
+            }, 8, ["expandedKeys", "value", "pt"]),
+            hoveredComfyNode.value ? (openBlock(), createElementBlock("div", {
+              key: 0,
+              class: "node-lib-node-preview",
+              style: normalizeStyle(nodePreviewStyle.value)
+            }, [
+              (openBlock(), createBlock(NodePreview, {
+                ref_key: "previewRef",
+                ref: previewRef,
+                key: hoveredComfyNode.value.name,
+                nodeDef: hoveredComfyNode.value
+              }, null, 8, ["nodeDef"]))
+            ], 4)) : createCommentVNode("", true)
+          ]),
+          _: 1
+        }, 8, ["title"]),
+        createVNode(unref(script$f), {
+          ref_key: "menu",
+          ref: menu,
+          model: menuItems.value
+        }, null, 8, ["model"]),
+        createVNode(FolderCustomizationDialog, {
+          modelValue: showCustomizationDialog.value,
+          "onUpdate:modelValue": _cache[5] || (_cache[5] = ($event) => showCustomizationDialog.value = $event),
+          onConfirm: updateCustomization,
+          initialIcon: initialIcon.value,
+          initialColor: initialColor.value
+        }, null, 8, ["modelValue", "initialIcon", "initialColor"])
+      ], 64);
+    };
+  }
+});
+const NodeLibrarySidebarTab = /* @__PURE__ */ _export_sfc(_sfc_main$3, [["__scopeId", "data-v-87967891"]]);
+const _hoisted_1$3 = { key: 1 };
+const _sfc_main$2 = /* @__PURE__ */ defineComponent({
+  __name: "GlobalDialog",
+  setup(__props) {
+    const dialogStore = useDialogStore();
+    const maximizable = computed(() => dialogStore.props.maximizable ?? false);
+    const maximized = ref(false);
+    const onMaximize = /* @__PURE__ */ __name(() => {
+      maximized.value = true;
+    }, "onMaximize");
+    const onUnmaximize = /* @__PURE__ */ __name(() => {
+      maximized.value = false;
+    }, "onUnmaximize");
+    const contentProps = computed(() => ({
+      ...dialogStore.props,
+      maximized: maximized.value
+    }));
+    return (_ctx, _cache) => {
+      return openBlock(), createBlock(unref(script$k), {
+        visible: unref(dialogStore).isVisible,
+        "onUpdate:visible": _cache[0] || (_cache[0] = ($event) => unref(dialogStore).isVisible = $event),
+        modal: "",
+        closable: "",
+        closeOnEscape: "",
+        dismissableMask: "",
+        maximizable: maximizable.value,
+        maximized: maximized.value,
+        onHide: unref(dialogStore).closeDialog,
+        onMaximize,
+        onUnmaximize
+      }, {
+        header: withCtx(() => [
+          unref(dialogStore).headerComponent ? (openBlock(), createBlock(resolveDynamicComponent(unref(dialogStore).headerComponent), { key: 0 })) : (openBlock(), createElementBlock("h3", _hoisted_1$3, toDisplayString$1(unref(dialogStore).title || " "), 1))
+        ]),
+        default: withCtx(() => [
+          (openBlock(), createBlock(resolveDynamicComponent(unref(dialogStore).component), normalizeProps(guardReactiveProps(contentProps.value)), null, 16))
+        ]),
+        _: 1
+      }, 8, ["visible", "maximizable", "maximized", "onHide"]);
+    };
+  }
+});
+function _typeof$2(o) {
+  "@babel/helpers - typeof";
+  return _typeof$2 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$2(o);
+}
+__name(_typeof$2, "_typeof$2");
+function _defineProperty$2(e, r, t) {
+  return (r = _toPropertyKey$2(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$2, "_defineProperty$2");
+function _toPropertyKey$2(t) {
+  var i2 = _toPrimitive$2(t, "string");
+  return "symbol" == _typeof$2(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$2, "_toPropertyKey$2");
+function _toPrimitive$2(t, r) {
+  if ("object" != _typeof$2(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$2(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$2, "_toPrimitive$2");
+var theme = /* @__PURE__ */ __name(function theme37(_ref) {
+  var dt3 = _ref.dt;
+  return "\n.p-toast {\n    width: ".concat(dt3("toast.width"), ";\n    white-space: pre-line;\n    word-break: break-word;\n}\n\n.p-toast-message {\n    margin: 0 0 1rem 0;\n}\n\n.p-toast-message-icon {\n    flex-shrink: 0;\n    font-size: ").concat(dt3("toast.icon.size"), ";\n    width: ").concat(dt3("toast.icon.size"), ";\n    height: ").concat(dt3("toast.icon.size"), ";\n}\n\n.p-toast-message-content {\n    display: flex;\n    align-items: flex-start;\n    padding: ").concat(dt3("toast.content.padding"), ";\n    gap: ").concat(dt3("toast.content.gap"), ";\n}\n\n.p-toast-message-text {\n    flex: 1 1 auto;\n    display: flex;\n    flex-direction: column;\n    gap: ").concat(dt3("toast.text.gap"), ";\n}\n\n.p-toast-summary {\n    font-weight: ").concat(dt3("toast.summary.font.weight"), ";\n    font-size: ").concat(dt3("toast.summary.font.size"), ";\n}\n\n.p-toast-detail {\n    font-weight: ").concat(dt3("toast.detail.font.weight"), ";\n    font-size: ").concat(dt3("toast.detail.font.size"), ";\n}\n\n.p-toast-close-button {\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    overflow: hidden;\n    position: relative;\n    cursor: pointer;\n    background: transparent;\n    transition: background ").concat(dt3("toast.transition.duration"), ", color ").concat(dt3("toast.transition.duration"), ", outline-color ").concat(dt3("toast.transition.duration"), ", box-shadow ").concat(dt3("toast.transition.duration"), ";\n    outline-color: transparent;\n    color: inherit;\n    width: ").concat(dt3("toast.close.button.width"), ";\n    height: ").concat(dt3("toast.close.button.height"), ";\n    border-radius: ").concat(dt3("toast.close.button.border.radius"), ";\n    margin: -25% 0 0 0;\n    right: -25%;\n    padding: 0;\n    border: none;\n    user-select: none;\n}\n\n.p-toast-message-info,\n.p-toast-message-success,\n.p-toast-message-warn,\n.p-toast-message-error,\n.p-toast-message-secondary,\n.p-toast-message-contrast {\n    border-width: ").concat(dt3("toast.border.width"), ";\n    border-style: solid;\n    backdrop-filter: blur(").concat(dt3("toast.blur"), ");\n    border-radius: ").concat(dt3("toast.border.radius"), ";\n}\n\n.p-toast-close-icon {\n    font-size: ").concat(dt3("toast.close.icon.size"), ";\n    width: ").concat(dt3("toast.close.icon.size"), ";\n    height: ").concat(dt3("toast.close.icon.size"), ";\n}\n\n.p-toast-close-button:focus-visible {\n    outline-width: ").concat(dt3("focus.ring.width"), ";\n    outline-style: ").concat(dt3("focus.ring.style"), ";\n    outline-offset: ").concat(dt3("focus.ring.offset"), ";\n}\n\n.p-toast-message-info {\n    background: ").concat(dt3("toast.info.background"), ";\n    border-color: ").concat(dt3("toast.info.border.color"), ";\n    color: ").concat(dt3("toast.info.color"), ";\n    box-shadow: ").concat(dt3("toast.info.shadow"), ";\n}\n\n.p-toast-message-info .p-toast-detail {\n    color: ").concat(dt3("toast.info.detail.color"), ";\n}\n\n.p-toast-message-info .p-toast-close-button:focus-visible {\n    outline-color: ").concat(dt3("toast.info.close.button.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("toast.info.close.button.focus.ring.shadow"), ";\n}\n\n.p-toast-message-info .p-toast-close-button:hover {\n    background: ").concat(dt3("toast.info.close.button.hover.background"), ";\n}\n\n.p-toast-message-success {\n    background: ").concat(dt3("toast.success.background"), ";\n    border-color: ").concat(dt3("toast.success.border.color"), ";\n    color: ").concat(dt3("toast.success.color"), ";\n    box-shadow: ").concat(dt3("toast.success.shadow"), ";\n}\n\n.p-toast-message-success .p-toast-detail {\n    color: ").concat(dt3("toast.success.detail.color"), ";\n}\n\n.p-toast-message-success .p-toast-close-button:focus-visible {\n    outline-color: ").concat(dt3("toast.success.close.button.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("toast.success.close.button.focus.ring.shadow"), ";\n}\n\n.p-toast-message-success .p-toast-close-button:hover {\n    background: ").concat(dt3("toast.success.close.button.hover.background"), ";\n}\n\n.p-toast-message-warn {\n    background: ").concat(dt3("toast.warn.background"), ";\n    border-color: ").concat(dt3("toast.warn.border.color"), ";\n    color: ").concat(dt3("toast.warn.color"), ";\n    box-shadow: ").concat(dt3("toast.warn.shadow"), ";\n}\n\n.p-toast-message-warn .p-toast-detail {\n    color: ").concat(dt3("toast.warn.detail.color"), ";\n}\n\n.p-toast-message-warn .p-toast-close-button:focus-visible {\n    outline-color: ").concat(dt3("toast.warn.close.button.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("toast.warn.close.button.focus.ring.shadow"), ";\n}\n\n.p-toast-message-warn .p-toast-close-button:hover {\n    background: ").concat(dt3("toast.warn.close.button.hover.background"), ";\n}\n\n.p-toast-message-error {\n    background: ").concat(dt3("toast.error.background"), ";\n    border-color: ").concat(dt3("toast.error.border.color"), ";\n    color: ").concat(dt3("toast.error.color"), ";\n    box-shadow: ").concat(dt3("toast.error.shadow"), ";\n}\n\n.p-toast-message-error .p-toast-detail {\n    color: ").concat(dt3("toast.error.detail.color"), ";\n}\n\n.p-toast-message-error .p-toast-close-button:focus-visible {\n    outline-color: ").concat(dt3("toast.error.close.button.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("toast.error.close.button.focus.ring.shadow"), ";\n}\n\n.p-toast-message-error .p-toast-close-button:hover {\n    background: ").concat(dt3("toast.error.close.button.hover.background"), ";\n}\n\n.p-toast-message-secondary {\n    background: ").concat(dt3("toast.secondary.background"), ";\n    border-color: ").concat(dt3("toast.secondary.border.color"), ";\n    color: ").concat(dt3("toast.secondary.color"), ";\n    box-shadow: ").concat(dt3("toast.secondary.shadow"), ";\n}\n\n.p-toast-message-secondary .p-toast-detail {\n    color: ").concat(dt3("toast.secondary.detail.color"), ";\n}\n\n.p-toast-message-secondary .p-toast-close-button:focus-visible {\n    outline-color: ").concat(dt3("toast.secondary.close.button.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("toast.secondary.close.button.focus.ring.shadow"), ";\n}\n\n.p-toast-message-secondary .p-toast-close-button:hover {\n    background: ").concat(dt3("toast.secondary.close.button.hover.background"), ";\n}\n\n.p-toast-message-contrast {\n    background: ").concat(dt3("toast.contrast.background"), ";\n    border-color: ").concat(dt3("toast.contrast.border.color"), ";\n    color: ").concat(dt3("toast.contrast.color"), ";\n    box-shadow: ").concat(dt3("toast.contrast.shadow"), ";\n}\n\n.p-toast-message-contrast .p-toast-detail {\n    color: ").concat(dt3("toast.contrast.detail.color"), ";\n}\n\n.p-toast-message-contrast .p-toast-close-button:focus-visible {\n    outline-color: ").concat(dt3("toast.contrast.close.button.focus.ring.color"), ";\n    box-shadow: ").concat(dt3("toast.contrast.close.button.focus.ring.shadow"), ";\n}\n\n.p-toast-message-contrast .p-toast-close-button:hover {\n    background: ").concat(dt3("toast.contrast.close.button.hover.background"), ";\n}\n\n.p-toast-top-center {\n    transform: translateX(-50%);\n}\n\n.p-toast-bottom-center {\n    transform: translateX(-50%);\n}\n\n.p-toast-center {\n    min-width: 20vw;\n    transform: translate(-50%, -50%);\n}\n\n.p-toast-message-enter-from {\n    opacity: 0;\n    transform: translateY(50%);\n}\n\n.p-toast-message-leave-from {\n    max-height: 1000px;\n}\n\n.p-toast .p-toast-message.p-toast-message-leave-to {\n    max-height: 0;\n    opacity: 0;\n    margin-bottom: 0;\n    overflow: hidden;\n}\n\n.p-toast-message-enter-active {\n    transition: transform 0.3s, opacity 0.3s;\n}\n\n.p-toast-message-leave-active {\n    transition: max-height 0.45s cubic-bezier(0, 1, 0, 1), opacity 0.3s, margin-bottom 0.3s;\n}\n");
+}, "theme");
+var inlineStyles = {
+  root: /* @__PURE__ */ __name(function root24(_ref2) {
+    var position2 = _ref2.position;
+    return {
+      position: "fixed",
+      top: position2 === "top-right" || position2 === "top-left" || position2 === "top-center" ? "20px" : position2 === "center" ? "50%" : null,
+      right: (position2 === "top-right" || position2 === "bottom-right") && "20px",
+      bottom: (position2 === "bottom-left" || position2 === "bottom-right" || position2 === "bottom-center") && "20px",
+      left: position2 === "top-left" || position2 === "bottom-left" ? "20px" : position2 === "center" || position2 === "top-center" || position2 === "bottom-center" ? "50%" : null
+    };
+  }, "root")
+};
+var classes = {
+  root: /* @__PURE__ */ __name(function root25(_ref3) {
+    var props = _ref3.props;
+    return ["p-toast p-component p-toast-" + props.position];
+  }, "root"),
+  message: /* @__PURE__ */ __name(function message2(_ref4) {
+    var props = _ref4.props;
+    return ["p-toast-message", {
+      "p-toast-message-info": props.message.severity === "info" || props.message.severity === void 0,
+      "p-toast-message-warn": props.message.severity === "warn",
+      "p-toast-message-error": props.message.severity === "error",
+      "p-toast-message-success": props.message.severity === "success",
+      "p-toast-message-secondary": props.message.severity === "secondary",
+      "p-toast-message-contrast": props.message.severity === "contrast"
+    }];
+  }, "message"),
+  messageContent: "p-toast-message-content",
+  messageIcon: /* @__PURE__ */ __name(function messageIcon(_ref5) {
+    var props = _ref5.props;
+    return ["p-toast-message-icon", _defineProperty$2(_defineProperty$2(_defineProperty$2(_defineProperty$2({}, props.infoIcon, props.message.severity === "info"), props.warnIcon, props.message.severity === "warn"), props.errorIcon, props.message.severity === "error"), props.successIcon, props.message.severity === "success")];
+  }, "messageIcon"),
+  messageText: "p-toast-message-text",
+  summary: "p-toast-summary",
+  detail: "p-toast-detail",
+  closeButton: "p-toast-close-button",
+  closeIcon: "p-toast-close-icon"
+};
+var ToastStyle = BaseStyle.extend({
+  name: "toast",
+  theme,
+  classes,
+  inlineStyles
+});
+var script$4 = {
+  name: "ExclamationTriangleIcon",
+  "extends": script$U
+};
+var _hoisted_1$2 = /* @__PURE__ */ createBaseVNode("path", {
+  d: "M13.4018 13.1893H0.598161C0.49329 13.189 0.390283 13.1615 0.299143 13.1097C0.208003 13.0578 0.131826 12.9832 0.0780112 12.8932C0.0268539 12.8015 0 12.6982 0 12.5931C0 12.4881 0.0268539 12.3848 0.0780112 12.293L6.47985 1.08982C6.53679 1.00399 6.61408 0.933574 6.70484 0.884867C6.7956 0.836159 6.897 0.810669 7 0.810669C7.103 0.810669 7.2044 0.836159 7.29516 0.884867C7.38592 0.933574 7.46321 1.00399 7.52015 1.08982L13.922 12.293C13.9731 12.3848 14 12.4881 14 12.5931C14 12.6982 13.9731 12.8015 13.922 12.8932C13.8682 12.9832 13.792 13.0578 13.7009 13.1097C13.6097 13.1615 13.5067 13.189 13.4018 13.1893ZM1.63046 11.989H12.3695L7 2.59425L1.63046 11.989Z",
+  fill: "currentColor"
+}, null, -1);
+var _hoisted_2$1 = /* @__PURE__ */ createBaseVNode("path", {
+  d: "M6.99996 8.78801C6.84143 8.78594 6.68997 8.72204 6.57787 8.60993C6.46576 8.49782 6.40186 8.34637 6.39979 8.18784V5.38703C6.39979 5.22786 6.46302 5.0752 6.57557 4.96265C6.68813 4.85009 6.84078 4.78686 6.99996 4.78686C7.15914 4.78686 7.31179 4.85009 7.42435 4.96265C7.5369 5.0752 7.60013 5.22786 7.60013 5.38703V8.18784C7.59806 8.34637 7.53416 8.49782 7.42205 8.60993C7.30995 8.72204 7.15849 8.78594 6.99996 8.78801Z",
+  fill: "currentColor"
+}, null, -1);
+var _hoisted_3 = /* @__PURE__ */ createBaseVNode("path", {
+  d: "M6.99996 11.1887C6.84143 11.1866 6.68997 11.1227 6.57787 11.0106C6.46576 10.8985 6.40186 10.7471 6.39979 10.5885V10.1884C6.39979 10.0292 6.46302 9.87658 6.57557 9.76403C6.68813 9.65147 6.84078 9.58824 6.99996 9.58824C7.15914 9.58824 7.31179 9.65147 7.42435 9.76403C7.5369 9.87658 7.60013 10.0292 7.60013 10.1884V10.5885C7.59806 10.7471 7.53416 10.8985 7.42205 11.0106C7.30995 11.1227 7.15849 11.1866 6.99996 11.1887Z",
+  fill: "currentColor"
+}, null, -1);
+var _hoisted_4 = [_hoisted_1$2, _hoisted_2$1, _hoisted_3];
+function render$3(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("svg", mergeProps({
+    width: "14",
+    height: "14",
+    viewBox: "0 0 14 14",
+    fill: "none",
+    xmlns: "http://www.w3.org/2000/svg"
+  }, _ctx.pti()), _hoisted_4, 16);
+}
+__name(render$3, "render$3");
+script$4.render = render$3;
+var script$3 = {
+  name: "InfoCircleIcon",
+  "extends": script$U
+};
+var _hoisted_1$1 = /* @__PURE__ */ createBaseVNode("path", {
+  "fill-rule": "evenodd",
+  "clip-rule": "evenodd",
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+  fill: "currentColor"
+}, null, -1);
+var _hoisted_2 = [_hoisted_1$1];
+function render$2(_ctx, _cache, $props, $setup, $data, $options) {
+  return openBlock(), createElementBlock("svg", mergeProps({
+    width: "14",
+    height: "14",
+    viewBox: "0 0 14 14",
+    fill: "none",
+    xmlns: "http://www.w3.org/2000/svg"
+  }, _ctx.pti()), _hoisted_2, 16);
+}
+__name(render$2, "render$2");
+script$3.render = render$2;
+var script$2 = {
+  name: "BaseToast",
+  "extends": script$X,
+  props: {
+    group: {
+      type: String,
+      "default": null
+    },
+    position: {
+      type: String,
+      "default": "top-right"
+    },
+    autoZIndex: {
+      type: Boolean,
+      "default": true
+    },
+    baseZIndex: {
+      type: Number,
+      "default": 0
+    },
+    breakpoints: {
+      type: Object,
+      "default": null
+    },
+    closeIcon: {
+      type: String,
+      "default": void 0
+    },
+    infoIcon: {
+      type: String,
+      "default": void 0
+    },
+    warnIcon: {
+      type: String,
+      "default": void 0
+    },
+    errorIcon: {
+      type: String,
+      "default": void 0
+    },
+    successIcon: {
+      type: String,
+      "default": void 0
+    },
+    closeButtonProps: {
+      type: null,
+      "default": null
+    }
+  },
+  style: ToastStyle,
+  provide: /* @__PURE__ */ __name(function provide40() {
+    return {
+      $pcToast: this,
+      $parentInstance: this
+    };
+  }, "provide")
+};
+var script$1 = {
+  name: "ToastMessage",
+  hostName: "Toast",
+  "extends": script$X,
+  emits: ["close"],
+  closeTimeout: null,
+  props: {
+    message: {
+      type: null,
+      "default": null
+    },
+    templates: {
+      type: Object,
+      "default": null
+    },
+    closeIcon: {
+      type: String,
+      "default": null
+    },
+    infoIcon: {
+      type: String,
+      "default": null
+    },
+    warnIcon: {
+      type: String,
+      "default": null
+    },
+    errorIcon: {
+      type: String,
+      "default": null
+    },
+    successIcon: {
+      type: String,
+      "default": null
+    },
+    closeButtonProps: {
+      type: null,
+      "default": null
+    }
+  },
+  mounted: /* @__PURE__ */ __name(function mounted21() {
+    var _this = this;
+    if (this.message.life) {
+      this.closeTimeout = setTimeout(function() {
+        _this.close({
+          message: _this.message,
+          type: "life-end"
+        });
+      }, this.message.life);
+    }
+  }, "mounted"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount15() {
+    this.clearCloseTimeout();
+  }, "beforeUnmount"),
+  methods: {
+    close: /* @__PURE__ */ __name(function close3(params) {
+      this.$emit("close", params);
+    }, "close"),
+    onCloseClick: /* @__PURE__ */ __name(function onCloseClick() {
+      this.clearCloseTimeout();
+      this.close({
+        message: this.message,
+        type: "close"
+      });
+    }, "onCloseClick"),
+    clearCloseTimeout: /* @__PURE__ */ __name(function clearCloseTimeout() {
+      if (this.closeTimeout) {
+        clearTimeout(this.closeTimeout);
+        this.closeTimeout = null;
+      }
+    }, "clearCloseTimeout")
+  },
+  computed: {
+    iconComponent: /* @__PURE__ */ __name(function iconComponent() {
+      return {
+        info: !this.infoIcon && script$3,
+        success: !this.successIcon && script$S,
+        warn: !this.warnIcon && script$4,
+        error: !this.errorIcon && script$u
+      }[this.message.severity];
+    }, "iconComponent"),
+    closeAriaLabel: /* @__PURE__ */ __name(function closeAriaLabel3() {
+      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.close : void 0;
+    }, "closeAriaLabel")
+  },
+  components: {
+    TimesIcon: script$A,
+    InfoCircleIcon: script$3,
+    CheckIcon: script$S,
+    ExclamationTriangleIcon: script$4,
+    TimesCircleIcon: script$u
+  },
+  directives: {
+    ripple: Ripple
+  }
+};
+function _typeof$1(o) {
+  "@babel/helpers - typeof";
+  return _typeof$1 = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof$1(o);
+}
+__name(_typeof$1, "_typeof$1");
+function ownKeys$1(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys$1, "ownKeys$1");
+function _objectSpread$1(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys$1(Object(t), true).forEach(function(r2) {
+      _defineProperty$1(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$1(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread$1, "_objectSpread$1");
+function _defineProperty$1(e, r, t) {
+  return (r = _toPropertyKey$1(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty$1, "_defineProperty$1");
+function _toPropertyKey$1(t) {
+  var i2 = _toPrimitive$1(t, "string");
+  return "symbol" == _typeof$1(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey$1, "_toPropertyKey$1");
+function _toPrimitive$1(t, r) {
+  if ("object" != _typeof$1(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof$1(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive$1, "_toPrimitive$1");
+var _hoisted_1 = ["aria-label"];
+function render$1(_ctx, _cache, $props, $setup, $data, $options) {
+  var _directive_ripple = resolveDirective("ripple");
+  return openBlock(), createElementBlock("div", mergeProps({
+    "class": [_ctx.cx("message"), $props.message.styleClass],
+    role: "alert",
+    "aria-live": "assertive",
+    "aria-atomic": "true"
+  }, _ctx.ptm("message")), [$props.templates.container ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.container), {
+    key: 0,
+    message: $props.message,
+    closeCallback: $options.onCloseClick
+  }, null, 8, ["message", "closeCallback"])) : (openBlock(), createElementBlock("div", mergeProps({
+    key: 1,
+    "class": [_ctx.cx("messageContent"), $props.message.contentStyleClass]
+  }, _ctx.ptm("messageContent")), [!$props.templates.message ? (openBlock(), createElementBlock(Fragment, {
+    key: 0
+  }, [(openBlock(), createBlock(resolveDynamicComponent($props.templates.messageicon ? $props.templates.messageicon : $props.templates.icon ? $props.templates.icon : $options.iconComponent && $options.iconComponent.name ? $options.iconComponent : "span"), mergeProps({
+    "class": _ctx.cx("messageIcon")
+  }, _ctx.ptm("messageIcon")), null, 16, ["class"])), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("messageText")
+  }, _ctx.ptm("messageText")), [createBaseVNode("span", mergeProps({
+    "class": _ctx.cx("summary")
+  }, _ctx.ptm("summary")), toDisplayString$1($props.message.summary), 17), createBaseVNode("div", mergeProps({
+    "class": _ctx.cx("detail")
+  }, _ctx.ptm("detail")), toDisplayString$1($props.message.detail), 17)], 16)], 64)) : (openBlock(), createBlock(resolveDynamicComponent($props.templates.message), {
+    key: 1,
+    message: $props.message
+  }, null, 8, ["message"])), $props.message.closable !== false ? (openBlock(), createElementBlock("div", normalizeProps(mergeProps({
+    key: 2
+  }, _ctx.ptm("buttonContainer"))), [withDirectives((openBlock(), createElementBlock("button", mergeProps({
+    "class": _ctx.cx("closeButton"),
+    type: "button",
+    "aria-label": $options.closeAriaLabel,
+    onClick: _cache[0] || (_cache[0] = function() {
+      return $options.onCloseClick && $options.onCloseClick.apply($options, arguments);
+    }),
+    autofocus: ""
+  }, _objectSpread$1(_objectSpread$1({}, $props.closeButtonProps), _ctx.ptm("closeButton"))), [(openBlock(), createBlock(resolveDynamicComponent($props.templates.closeicon || "TimesIcon"), mergeProps({
+    "class": [_ctx.cx("closeIcon"), $props.closeIcon]
+  }, _ctx.ptm("closeIcon")), null, 16, ["class"]))], 16, _hoisted_1)), [[_directive_ripple]])], 16)) : createCommentVNode("", true)], 16))], 16);
+}
+__name(render$1, "render$1");
+script$1.render = render$1;
+function _toConsumableArray(r) {
+  return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread();
+}
+__name(_toConsumableArray, "_toConsumableArray");
+function _nonIterableSpread() {
+  throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.");
+}
+__name(_nonIterableSpread, "_nonIterableSpread");
+function _unsupportedIterableToArray(r, a) {
+  if (r) {
+    if ("string" == typeof r) return _arrayLikeToArray(r, a);
+    var t = {}.toString.call(r).slice(8, -1);
+    return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0;
+  }
+}
+__name(_unsupportedIterableToArray, "_unsupportedIterableToArray");
+function _iterableToArray(r) {
+  if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r);
+}
+__name(_iterableToArray, "_iterableToArray");
+function _arrayWithoutHoles(r) {
+  if (Array.isArray(r)) return _arrayLikeToArray(r);
+}
+__name(_arrayWithoutHoles, "_arrayWithoutHoles");
+function _arrayLikeToArray(r, a) {
+  (null == a || a > r.length) && (a = r.length);
+  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];
+  return n;
+}
+__name(_arrayLikeToArray, "_arrayLikeToArray");
+var messageIdx = 0;
+var script = {
+  name: "Toast",
+  "extends": script$2,
+  inheritAttrs: false,
+  emits: ["close", "life-end"],
+  data: /* @__PURE__ */ __name(function data23() {
+    return {
+      messages: []
+    };
+  }, "data"),
+  styleElement: null,
+  mounted: /* @__PURE__ */ __name(function mounted22() {
+    ToastEventBus.on("add", this.onAdd);
+    ToastEventBus.on("remove", this.onRemove);
+    ToastEventBus.on("remove-group", this.onRemoveGroup);
+    ToastEventBus.on("remove-all-groups", this.onRemoveAllGroups);
+    if (this.breakpoints) {
+      this.createStyle();
+    }
+  }, "mounted"),
+  beforeUnmount: /* @__PURE__ */ __name(function beforeUnmount16() {
+    this.destroyStyle();
+    if (this.$refs.container && this.autoZIndex) {
+      ZIndex.clear(this.$refs.container);
+    }
+    ToastEventBus.off("add", this.onAdd);
+    ToastEventBus.off("remove", this.onRemove);
+    ToastEventBus.off("remove-group", this.onRemoveGroup);
+    ToastEventBus.off("remove-all-groups", this.onRemoveAllGroups);
+  }, "beforeUnmount"),
+  methods: {
+    add: /* @__PURE__ */ __name(function add2(message3) {
+      if (message3.id == null) {
+        message3.id = messageIdx++;
+      }
+      this.messages = [].concat(_toConsumableArray(this.messages), [message3]);
+    }, "add"),
+    remove: /* @__PURE__ */ __name(function remove4(params) {
+      var index2 = this.messages.findIndex(function(m) {
+        return m.id === params.message.id;
+      });
+      if (index2 !== -1) {
+        this.messages.splice(index2, 1);
+        this.$emit(params.type, {
+          message: params.message
+        });
+      }
+    }, "remove"),
+    onAdd: /* @__PURE__ */ __name(function onAdd(message3) {
+      if (this.group == message3.group) {
+        this.add(message3);
+      }
+    }, "onAdd"),
+    onRemove: /* @__PURE__ */ __name(function onRemove(message3) {
+      this.remove({
+        message: message3,
+        type: "close"
+      });
+    }, "onRemove"),
+    onRemoveGroup: /* @__PURE__ */ __name(function onRemoveGroup(group) {
+      if (this.group === group) {
+        this.messages = [];
+      }
+    }, "onRemoveGroup"),
+    onRemoveAllGroups: /* @__PURE__ */ __name(function onRemoveAllGroups() {
+      this.messages = [];
+    }, "onRemoveAllGroups"),
+    onEnter: /* @__PURE__ */ __name(function onEnter7() {
+      this.$refs.container.setAttribute(this.attributeSelector, "");
+      if (this.autoZIndex) {
+        ZIndex.set("modal", this.$refs.container, this.baseZIndex || this.$primevue.config.zIndex.modal);
+      }
+    }, "onEnter"),
+    onLeave: /* @__PURE__ */ __name(function onLeave5() {
+      var _this = this;
+      if (this.$refs.container && this.autoZIndex && isEmpty(this.messages)) {
+        setTimeout(function() {
+          ZIndex.clear(_this.$refs.container);
+        }, 200);
+      }
+    }, "onLeave"),
+    createStyle: /* @__PURE__ */ __name(function createStyle4() {
+      if (!this.styleElement && !this.isUnstyled) {
+        var _this$$primevue;
+        this.styleElement = document.createElement("style");
+        this.styleElement.type = "text/css";
+        setAttribute(this.styleElement, "nonce", (_this$$primevue = this.$primevue) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.config) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.csp) === null || _this$$primevue === void 0 ? void 0 : _this$$primevue.nonce);
+        document.head.appendChild(this.styleElement);
+        var innerHTML = "";
+        for (var breakpoint in this.breakpoints) {
+          var breakpointStyle = "";
+          for (var styleProp in this.breakpoints[breakpoint]) {
+            breakpointStyle += styleProp + ":" + this.breakpoints[breakpoint][styleProp] + "!important;";
+          }
+          innerHTML += "\n                        @media screen and (max-width: ".concat(breakpoint, ") {\n                            .p-toast[").concat(this.attributeSelector, "] {\n                                ").concat(breakpointStyle, "\n                            }\n                        }\n                    ");
+        }
+        this.styleElement.innerHTML = innerHTML;
+      }
+    }, "createStyle"),
+    destroyStyle: /* @__PURE__ */ __name(function destroyStyle3() {
+      if (this.styleElement) {
+        document.head.removeChild(this.styleElement);
+        this.styleElement = null;
+      }
+    }, "destroyStyle")
+  },
+  computed: {
+    attributeSelector: /* @__PURE__ */ __name(function attributeSelector3() {
+      return UniqueComponentId();
+    }, "attributeSelector")
+  },
+  components: {
+    ToastMessage: script$1,
+    Portal: script$z
+  }
+};
+function _typeof(o) {
+  "@babel/helpers - typeof";
+  return _typeof = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function(o2) {
+    return typeof o2;
+  } : function(o2) {
+    return o2 && "function" == typeof Symbol && o2.constructor === Symbol && o2 !== Symbol.prototype ? "symbol" : typeof o2;
+  }, _typeof(o);
+}
+__name(_typeof, "_typeof");
+function ownKeys(e, r) {
+  var t = Object.keys(e);
+  if (Object.getOwnPropertySymbols) {
+    var o = Object.getOwnPropertySymbols(e);
+    r && (o = o.filter(function(r2) {
+      return Object.getOwnPropertyDescriptor(e, r2).enumerable;
+    })), t.push.apply(t, o);
+  }
+  return t;
+}
+__name(ownKeys, "ownKeys");
+function _objectSpread(e) {
+  for (var r = 1; r < arguments.length; r++) {
+    var t = null != arguments[r] ? arguments[r] : {};
+    r % 2 ? ownKeys(Object(t), true).forEach(function(r2) {
+      _defineProperty(e, r2, t[r2]);
+    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function(r2) {
+      Object.defineProperty(e, r2, Object.getOwnPropertyDescriptor(t, r2));
+    });
+  }
+  return e;
+}
+__name(_objectSpread, "_objectSpread");
+function _defineProperty(e, r, t) {
+  return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: true, configurable: true, writable: true }) : e[r] = t, e;
+}
+__name(_defineProperty, "_defineProperty");
+function _toPropertyKey(t) {
+  var i2 = _toPrimitive(t, "string");
+  return "symbol" == _typeof(i2) ? i2 : i2 + "";
+}
+__name(_toPropertyKey, "_toPropertyKey");
+function _toPrimitive(t, r) {
+  if ("object" != _typeof(t) || !t) return t;
+  var e = t[Symbol.toPrimitive];
+  if (void 0 !== e) {
+    var i2 = e.call(t, r || "default");
+    if ("object" != _typeof(i2)) return i2;
+    throw new TypeError("@@toPrimitive must return a primitive value.");
+  }
+  return ("string" === r ? String : Number)(t);
+}
+__name(_toPrimitive, "_toPrimitive");
+function render(_ctx, _cache, $props, $setup, $data, $options) {
+  var _component_ToastMessage = resolveComponent("ToastMessage");
+  var _component_Portal = resolveComponent("Portal");
+  return openBlock(), createBlock(_component_Portal, null, {
+    "default": withCtx(function() {
+      return [createBaseVNode("div", mergeProps({
+        ref: "container",
+        "class": _ctx.cx("root"),
+        style: _ctx.sx("root", true, {
+          position: _ctx.position
+        })
+      }, _ctx.ptmi("root")), [createVNode(TransitionGroup, mergeProps({
+        name: "p-toast-message",
+        tag: "div",
+        onEnter: $options.onEnter,
+        onLeave: $options.onLeave
+      }, _objectSpread({}, _ctx.ptm("transition"))), {
+        "default": withCtx(function() {
+          return [(openBlock(true), createElementBlock(Fragment, null, renderList($data.messages, function(msg) {
+            return openBlock(), createBlock(_component_ToastMessage, {
+              key: msg.id,
+              message: msg,
+              templates: _ctx.$slots,
+              closeIcon: _ctx.closeIcon,
+              infoIcon: _ctx.infoIcon,
+              warnIcon: _ctx.warnIcon,
+              errorIcon: _ctx.errorIcon,
+              successIcon: _ctx.successIcon,
+              closeButtonProps: _ctx.closeButtonProps,
+              onClose: _cache[0] || (_cache[0] = function($event) {
+                return $options.remove($event);
+              }),
+              pt: _ctx.pt
+            }, null, 8, ["message", "templates", "closeIcon", "infoIcon", "warnIcon", "errorIcon", "successIcon", "closeButtonProps", "pt"]);
+          }), 128))];
+        }),
+        _: 1
+      }, 16, ["onEnter", "onLeave"])], 16)];
+    }),
+    _: 1
+  });
+}
+__name(render, "render");
+script.render = render;
+const _sfc_main$1 = /* @__PURE__ */ defineComponent({
+  __name: "GlobalToast",
+  setup(__props) {
+    const toast = useToast();
+    const toastStore = useToastStore();
+    const settingStore = useSettingStore();
+    watch(
+      () => toastStore.messagesToAdd,
+      (newMessages) => {
+        if (newMessages.length === 0) {
+          return;
+        }
+        newMessages.forEach((message3) => {
+          toast.add(message3);
+        });
+        toastStore.messagesToAdd = [];
+      },
+      { deep: true }
+    );
+    watch(
+      () => toastStore.messagesToRemove,
+      (messagesToRemove) => {
+        if (messagesToRemove.length === 0) {
+          return;
+        }
+        messagesToRemove.forEach((message3) => {
+          toast.remove(message3);
+        });
+        toastStore.messagesToRemove = [];
+      },
+      { deep: true }
+    );
+    watch(
+      () => toastStore.removeAllRequested,
+      (requested) => {
+        if (requested) {
+          toast.removeAllGroups();
+          toastStore.removeAllRequested = false;
+        }
+      }
+    );
+    function updateToastPosition() {
+      const styleElement = document.getElementById("dynamic-toast-style") || createStyleElement();
+      const rect = document.querySelector(".graph-canvas-container").getBoundingClientRect();
+      styleElement.textContent = `
+    .p-toast.p-component.p-toast-top-right {
+      top: ${rect.top + 20}px !important;
+      right: ${window.innerWidth - (rect.left + rect.width) + 20}px !important;
+    }
+  `;
+    }
+    __name(updateToastPosition, "updateToastPosition");
+    function createStyleElement() {
+      const style = document.createElement("style");
+      style.id = "dynamic-toast-style";
+      document.head.appendChild(style);
+      return style;
+    }
+    __name(createStyleElement, "createStyleElement");
+    watch(
+      () => settingStore.get("Comfy.UseNewMenu"),
+      () => nextTick(updateToastPosition),
+      { immediate: true }
+    );
+    watch(
+      () => settingStore.get("Comfy.Sidebar.Location"),
+      () => nextTick(updateToastPosition),
+      { immediate: true }
+    );
+    return (_ctx, _cache) => {
+      return openBlock(), createBlock(unref(script));
+    };
+  }
+});
+const _sfc_main = /* @__PURE__ */ defineComponent({
+  __name: "App",
+  setup(__props) {
+    const isLoading = computed(() => useWorkspaceStore().spinner);
+    const theme38 = computed(
+      () => useSettingStore().get("Comfy.ColorPalette")
+    );
+    watch(
+      theme38,
+      (newTheme) => {
+        const DARK_THEME_CLASS = "dark-theme";
+        const isDarkTheme = newTheme !== "light";
+        if (isDarkTheme) {
+          document.body.classList.add(DARK_THEME_CLASS);
+        } else {
+          document.body.classList.remove(DARK_THEME_CLASS);
+        }
+      },
+      { immediate: true }
+    );
+    watchEffect(() => {
+      const fontSize = useSettingStore().get("Comfy.TextareaWidget.FontSize");
+      document.documentElement.style.setProperty(
+        "--comfy-textarea-font-size",
+        `${fontSize}px`
+      );
+    });
+    const { t } = useI18n();
+    const init2 = /* @__PURE__ */ __name(() => {
+      useSettingStore().addSettings(app$1.ui.settings);
+      app$1.extensionManager = useWorkspaceStore();
+      app$1.extensionManager.registerSidebarTab({
+        id: "queue",
+        icon: "pi pi-history",
+        iconBadge: /* @__PURE__ */ __name(() => {
+          const value3 = useQueuePendingTaskCountStore().count.toString();
+          return value3 === "0" ? null : value3;
+        }, "iconBadge"),
+        title: t("sideToolbar.queue"),
+        tooltip: t("sideToolbar.queue"),
+        component: markRaw(QueueSidebarTab),
+        type: "vue"
+      });
+      app$1.extensionManager.registerSidebarTab({
+        id: "node-library",
+        icon: "pi pi-book",
+        title: t("sideToolbar.nodeLibrary"),
+        tooltip: t("sideToolbar.nodeLibrary"),
+        component: markRaw(NodeLibrarySidebarTab),
+        type: "vue"
+      });
+    }, "init");
+    const queuePendingTaskCountStore = useQueuePendingTaskCountStore();
+    const onStatus = /* @__PURE__ */ __name((e) => queuePendingTaskCountStore.update(e), "onStatus");
+    const toast = useToast();
+    const reconnectingMessage = {
+      severity: "error",
+      summary: t("reconnecting")
+    };
+    const onReconnecting = /* @__PURE__ */ __name(() => {
+      toast.remove(reconnectingMessage);
+      toast.add(reconnectingMessage);
+    }, "onReconnecting");
+    const onReconnected = /* @__PURE__ */ __name(() => {
+      toast.remove(reconnectingMessage);
+      toast.add({
+        severity: "success",
+        summary: t("reconnected"),
+        life: 2e3
+      });
+    }, "onReconnected");
+    onMounted(() => {
+      api.addEventListener("status", onStatus);
+      api.addEventListener("reconnecting", onReconnecting);
+      api.addEventListener("reconnected", onReconnected);
+      try {
+        init2();
+      } catch (e) {
+        console.error("Failed to init Vue app", e);
+      }
+    });
+    onUnmounted(() => {
+      api.removeEventListener("status", onStatus);
+      api.removeEventListener("reconnecting", onReconnecting);
+      api.removeEventListener("reconnected", onReconnected);
+    });
+    return (_ctx, _cache) => {
+      return openBlock(), createElementBlock(Fragment, null, [
+        isLoading.value ? (openBlock(), createBlock(unref(script$V), {
+          key: 0,
+          class: "spinner"
+        })) : createCommentVNode("", true),
+        createVNode(unref(script$W), {
+          "full-screen": "",
+          blocked: isLoading.value
+        }, null, 8, ["blocked"]),
+        createVNode(_sfc_main$2),
+        createVNode(_sfc_main$1),
+        createVNode(_sfc_main$d)
+      ], 64);
+    };
+  }
+});
+const App = /* @__PURE__ */ _export_sfc(_sfc_main, [["__scopeId", "data-v-8616e7a1"]]);
+const messages = {
+  en: {
+    add: "Add",
+    confirm: "Confirm",
+    reset: "Reset",
+    customizeFolder: "Customize Folder",
+    icon: "Icon",
+    color: "Color",
+    bookmark: "Bookmark",
+    folder: "Folder",
+    star: "Star",
+    heart: "Heart",
+    file: "File",
+    inbox: "Inbox",
+    box: "Box",
+    briefcase: "Briefcase",
+    error: "Error",
+    findIssues: "Find Issues",
+    copyToClipboard: "Copy to Clipboard",
+    openNewIssue: "Open New Issue",
+    showReport: "Show Report",
+    imageFailedToLoad: "Image failed to load",
+    reconnecting: "Reconnecting",
+    reconnected: "Reconnected",
+    delete: "Delete",
+    rename: "Rename",
+    customize: "Customize",
+    experimental: "BETA",
+    deprecated: "DEPR",
+    loadWorkflow: "Load Workflow",
+    goToNode: "Go to Node",
+    settings: "Settings",
+    searchSettings: "Search Settings",
+    searchNodes: "Search Nodes",
+    noResultsFound: "No Results Found",
+    searchFailedMessage: "We couldn't find any settings matching your search. Try adjusting your search terms.",
+    noTasksFound: "No Tasks Found",
+    noTasksFoundMessage: "There are no tasks in the queue.",
+    newFolder: "New Folder",
+    sideToolbar: {
+      themeToggle: "Toggle Theme",
+      queue: "Queue",
+      nodeLibrary: "Node Library",
+      nodeLibraryTab: {
+        sortOrder: "Sort Order"
+      },
+      queueTab: {
+        showFlatList: "Show Flat List",
+        backToAllTasks: "Back to All Tasks",
+        containImagePreview: "Fill Image Preview",
+        coverImagePreview: "Fit Image Preview"
+      }
+    }
+  },
+  zh: {
+    customizeFolder: "定制文件夹",
+    icon: "图标",
+    color: "颜色",
+    bookmark: "书签",
+    folder: "文件夹",
+    star: "星星",
+    heart: "心",
+    file: "文件",
+    inbox: "收件箱",
+    box: "盒子",
+    briefcase: "公文包",
+    error: "错误",
+    showReport: "显示报告",
+    imageFailedToLoad: "图像加载失败",
+    reconnecting: "重新连接中",
+    reconnected: "已重新连接",
+    delete: "删除",
+    rename: "重命名",
+    customize: "定制",
+    loadWorkflow: "加载工作流",
+    settings: "设置",
+    searchSettings: "搜索设置",
+    searchNodes: "搜索节点",
+    noResultsFound: "未找到结果",
+    noTasksFound: "未找到任务",
+    noTasksFoundMessage: "队列中没有任务。",
+    searchFailedMessage: "我们找不到与您的搜索匹配的任何设置。请尝试调整搜索条件。",
+    newFolder: "新建文件夹",
+    sideToolbar: {
+      themeToggle: "主题切换",
+      queue: "队列",
+      nodeLibrary: "节点库",
+      nodeLibraryTab: {
+        sortOrder: "排序顺序"
+      },
+      queueTab: {
+        showFlatList: "平铺结果",
+        backToAllTasks: "返回"
+      }
+    }
+  }
+  // TODO: Add more languages
+};
+const i18n = createI18n({
+  // Must set `false`, as Vue I18n Legacy API is for Vue 2
+  legacy: false,
+  locale: navigator.language.split("-")[0] || "en",
+  fallbackLocale: "en",
+  messages
+});
+const ComfyUIPreset = definePreset(index$1, {
+  semantic: {
+    primary: index$1["primitive"].blue
+  }
+});
+const app = createApp(App);
+const pinia = createPinia();
+app.directive("tooltip", Tooltip);
+app.use(PrimeVue, {
+  theme: {
+    preset: ComfyUIPreset,
+    options: {
+      prefix: "p",
+      cssLayer: false,
+      // This is a workaround for the issue with the dark mode selector
+      // https://github.com/primefaces/primevue/issues/5515
+      darkModeSelector: ".dark-theme, :root:has(.dark-theme)"
+    }
+  }
+}).use(ConfirmationService).use(ToastService).use(pinia).use(i18n).mount("#vue-app");
+export {
+  $el as $,
+  ComfyDialog as C,
+  DraggableList as D,
+  LGraphCanvas as L,
+  ComfyApp as a,
+  app$1 as b,
+  LiteGraph as c,
+  LGraphNode as d,
+  applyTextReplacements as e,
+  ComfyWidgets as f,
+  addValueControlWidgets as g,
+  api as h,
+  LGraphGroup as i,
+  createSpinner as j,
+  useToastStore as u
+};
+//# sourceMappingURL=index-CI3N807S.js.map
diff --git a/ComfyUI/web/assets/index-CI3N807S.js.map b/ComfyUI/web/assets/index-CI3N807S.js.map
new file mode 100644
index 0000000000000000000000000000000000000000..8dfae7323d3b3777c8d66769972f121c44297e73
--- /dev/null
+++ b/ComfyUI/web/assets/index-CI3N807S.js.map
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*****************************************************************************\nCopyright (C) Microsoft. All rights reserved.\nLicensed under the Apache License, Version 2.0 (the \"License\"); you may not use\nthis file except in compliance with the License. You may obtain a copy of the\nLicense at http://www.apache.org/licenses/LICENSE-2.0\n\nTHIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\nKIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\nWARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\nMERCHANTABLITY OR NON-INFRINGEMENT.\n\nSee the Apache Version 2.0 License for specific language governing permissions\nand limitations under the License.\n***************************************************************************** */\nvar Reflect;\n(function (Reflect) {\n    // Metadata Proposal\n    // https://rbuckton.github.io/reflect-metadata/\n    (function (factory) {\n        var root = typeof globalThis === \"object\" ? globalThis :\n            typeof global === \"object\" ? global :\n                typeof self === \"object\" ? self :\n                    typeof this === \"object\" ? this :\n                        sloppyModeThis();\n        var exporter = makeExporter(Reflect);\n        if (typeof root.Reflect !== \"undefined\") {\n            exporter = makeExporter(root.Reflect, exporter);\n        }\n        factory(exporter, root);\n        if (typeof root.Reflect === \"undefined\") {\n            root.Reflect = Reflect;\n        }\n        function makeExporter(target, previous) {\n            return function (key, value) {\n                Object.defineProperty(target, key, { configurable: true, writable: true, value: value });\n                if (previous)\n                    previous(key, value);\n            };\n        }\n        function functionThis() {\n            try {\n                return Function(\"return this;\")();\n            }\n            catch (_) { }\n        }\n        function indirectEvalThis() {\n            try {\n                return (void 0, eval)(\"(function() { return this; })()\");\n            }\n            catch (_) { }\n        }\n        function sloppyModeThis() {\n            return functionThis() || indirectEvalThis();\n        }\n    })(function (exporter, root) {\n        var hasOwn = Object.prototype.hasOwnProperty;\n        // feature test for Symbol support\n        var supportsSymbol = typeof Symbol === \"function\";\n        var toPrimitiveSymbol = supportsSymbol && typeof Symbol.toPrimitive !== \"undefined\" ? Symbol.toPrimitive : \"@@toPrimitive\";\n        var iteratorSymbol = supportsSymbol && typeof Symbol.iterator !== \"undefined\" ? Symbol.iterator : \"@@iterator\";\n        var supportsCreate = typeof Object.create === \"function\"; // feature test for Object.create support\n        var supportsProto = { __proto__: [] } instanceof Array; // feature test for __proto__ support\n        var downLevel = !supportsCreate && !supportsProto;\n        var HashMap = {\n            // create an object in dictionary mode (a.k.a. \"slow\" mode in v8)\n            create: supportsCreate\n                ? function () { return MakeDictionary(Object.create(null)); }\n                : supportsProto\n                    ? function () { return MakeDictionary({ __proto__: null }); }\n                    : function () { return MakeDictionary({}); },\n            has: downLevel\n                ? function (map, key) { return hasOwn.call(map, key); }\n                : function (map, key) { return key in map; },\n            get: downLevel\n                ? function (map, key) { return hasOwn.call(map, key) ? map[key] : undefined; }\n                : function (map, key) { return map[key]; },\n        };\n        // Load global or shim versions of Map, Set, and WeakMap\n        var functionPrototype = Object.getPrototypeOf(Function);\n        var _Map = typeof Map === \"function\" && typeof Map.prototype.entries === \"function\" ? Map : CreateMapPolyfill();\n        var _Set = typeof Set === \"function\" && typeof Set.prototype.entries === \"function\" ? Set : CreateSetPolyfill();\n        var _WeakMap = typeof WeakMap === \"function\" ? WeakMap : CreateWeakMapPolyfill();\n        var registrySymbol = supportsSymbol ? Symbol.for(\"@reflect-metadata:registry\") : undefined;\n        var metadataRegistry = GetOrCreateMetadataRegistry();\n        var metadataProvider = CreateMetadataProvider(metadataRegistry);\n        /**\n         * Applies a set of decorators to a property of a target object.\n         * @param decorators An array of decorators.\n         * @param target The target object.\n         * @param propertyKey (Optional) The property key to decorate.\n         * @param attributes (Optional) The property descriptor for the target key.\n         * @remarks Decorators are applied in reverse order.\n         * @example\n         *\n         *     class Example {\n         *         // property declarations are not part of ES6, though they are valid in TypeScript:\n         *         // static staticProperty;\n         *         // property;\n         *\n         *         constructor(p) { }\n         *         static staticMethod(p) { }\n         *         method(p) { }\n         *     }\n         *\n         *     // constructor\n         *     Example = Reflect.decorate(decoratorsArray, Example);\n         *\n         *     // property (on constructor)\n         *     Reflect.decorate(decoratorsArray, Example, \"staticProperty\");\n         *\n         *     // property (on prototype)\n         *     Reflect.decorate(decoratorsArray, Example.prototype, \"property\");\n         *\n         *     // method (on constructor)\n         *     Object.defineProperty(Example, \"staticMethod\",\n         *         Reflect.decorate(decoratorsArray, Example, \"staticMethod\",\n         *             Object.getOwnPropertyDescriptor(Example, \"staticMethod\")));\n         *\n         *     // method (on prototype)\n         *     Object.defineProperty(Example.prototype, \"method\",\n         *         Reflect.decorate(decoratorsArray, Example.prototype, \"method\",\n         *             Object.getOwnPropertyDescriptor(Example.prototype, \"method\")));\n         *\n         */\n        function decorate(decorators, target, propertyKey, attributes) {\n            if (!IsUndefined(propertyKey)) {\n                if (!IsArray(decorators))\n                    throw new TypeError();\n                if (!IsObject(target))\n                    throw new TypeError();\n                if (!IsObject(attributes) && !IsUndefined(attributes) && !IsNull(attributes))\n                    throw new TypeError();\n                if (IsNull(attributes))\n                    attributes = undefined;\n                propertyKey = ToPropertyKey(propertyKey);\n                return DecorateProperty(decorators, target, propertyKey, attributes);\n            }\n            else {\n                if (!IsArray(decorators))\n                    throw new TypeError();\n                if (!IsConstructor(target))\n                    throw new TypeError();\n                return DecorateConstructor(decorators, target);\n            }\n        }\n        exporter(\"decorate\", decorate);\n        // 4.1.2 Reflect.metadata(metadataKey, metadataValue)\n        // https://rbuckton.github.io/reflect-metadata/#reflect.metadata\n        /**\n         * A default metadata decorator factory that can be used on a class, class member, or parameter.\n         * @param metadataKey The key for the metadata entry.\n         * @param metadataValue The value for the metadata entry.\n         * @returns A decorator function.\n         * @remarks\n         * If `metadataKey` is already defined for the target and target key, the\n         * metadataValue for that key will be overwritten.\n         * @example\n         *\n         *     // constructor\n         *     @Reflect.metadata(key, value)\n         *     class Example {\n         *     }\n         *\n         *     // property (on constructor, TypeScript only)\n         *     class Example {\n         *         @Reflect.metadata(key, value)\n         *         static staticProperty;\n         *     }\n         *\n         *     // property (on prototype, TypeScript only)\n         *     class Example {\n         *         @Reflect.metadata(key, value)\n         *         property;\n         *     }\n         *\n         *     // method (on constructor)\n         *     class Example {\n         *         @Reflect.metadata(key, value)\n         *         static staticMethod() { }\n         *     }\n         *\n         *     // method (on prototype)\n         *     class Example {\n         *         @Reflect.metadata(key, value)\n         *         method() { }\n         *     }\n         *\n         */\n        function metadata(metadataKey, metadataValue) {\n            function decorator(target, propertyKey) {\n                if (!IsObject(target))\n                    throw new TypeError();\n                if (!IsUndefined(propertyKey) && !IsPropertyKey(propertyKey))\n                    throw new TypeError();\n                OrdinaryDefineOwnMetadata(metadataKey, metadataValue, target, propertyKey);\n            }\n            return decorator;\n        }\n        exporter(\"metadata\", metadata);\n        /**\n         * Define a unique metadata entry on the target.\n         * @param metadataKey A key used to store and retrieve metadata.\n         * @param metadataValue A value that contains attached metadata.\n         * @param target The target object on which to define metadata.\n         * @param propertyKey (Optional) The property key for the target.\n         * @example\n         *\n         *     class Example {\n         *         // property declarations are not part of ES6, though they are valid in TypeScript:\n         *         // static staticProperty;\n         *         // property;\n         *\n         *         constructor(p) { }\n         *         static staticMethod(p) { }\n         *         method(p) { }\n         *     }\n         *\n         *     // constructor\n         *     Reflect.defineMetadata(\"custom:annotation\", options, Example);\n         *\n         *     // property (on constructor)\n         *     Reflect.defineMetadata(\"custom:annotation\", options, Example, \"staticProperty\");\n         *\n         *     // property (on prototype)\n         *     Reflect.defineMetadata(\"custom:annotation\", options, Example.prototype, \"property\");\n         *\n         *     // method (on constructor)\n         *     Reflect.defineMetadata(\"custom:annotation\", options, Example, \"staticMethod\");\n         *\n         *     // method (on prototype)\n         *     Reflect.defineMetadata(\"custom:annotation\", options, Example.prototype, \"method\");\n         *\n         *     // decorator factory as metadata-producing annotation.\n         *     function MyAnnotation(options): Decorator {\n         *         return (target, key?) => Reflect.defineMetadata(\"custom:annotation\", options, target, key);\n         *     }\n         *\n         */\n        function defineMetadata(metadataKey, metadataValue, target, propertyKey) {\n            if (!IsObject(target))\n                throw new TypeError();\n            if (!IsUndefined(propertyKey))\n                propertyKey = ToPropertyKey(propertyKey);\n            return OrdinaryDefineOwnMetadata(metadataKey, metadataValue, target, propertyKey);\n        }\n        exporter(\"defineMetadata\", defineMetadata);\n        /**\n         * Gets a value indicating whether the target object or its prototype chain has the provided metadata key defined.\n         * @param metadataKey A key used to store and retrieve metadata.\n         * @param target The target object on which the metadata is defined.\n         * @param propertyKey (Optional) The property key for the target.\n         * @returns `true` if the metadata key was defined on the target object or its prototype chain; otherwise, `false`.\n         * @example\n         *\n         *     class Example {\n         *         // property declarations are not part of ES6, though they are valid in TypeScript:\n         *         // static staticProperty;\n         *         // property;\n         *\n         *         constructor(p) { }\n         *         static staticMethod(p) { }\n         *         method(p) { }\n         *     }\n         *\n         *     // constructor\n         *     result = Reflect.hasMetadata(\"custom:annotation\", Example);\n         *\n         *     // property (on constructor)\n         *     result = Reflect.hasMetadata(\"custom:annotation\", Example, \"staticProperty\");\n         *\n         *     // property (on prototype)\n         *     result = Reflect.hasMetadata(\"custom:annotation\", Example.prototype, \"property\");\n         *\n         *     // method (on constructor)\n         *     result = Reflect.hasMetadata(\"custom:annotation\", Example, \"staticMethod\");\n         *\n         *     // method (on prototype)\n         *     result = Reflect.hasMetadata(\"custom:annotation\", Example.prototype, \"method\");\n         *\n         */\n        function hasMetadata(metadataKey, target, propertyKey) {\n            if (!IsObject(target))\n                throw new TypeError();\n            if (!IsUndefined(propertyKey))\n                propertyKey = ToPropertyKey(propertyKey);\n            return OrdinaryHasMetadata(metadataKey, target, propertyKey);\n        }\n        exporter(\"hasMetadata\", hasMetadata);\n        /**\n         * Gets a value indicating whether the target object has the provided metadata key defined.\n         * @param metadataKey A key used to store and retrieve metadata.\n         * @param target The target object on which the metadata is defined.\n         * @param propertyKey (Optional) The property key for the target.\n         * @returns `true` if the metadata key was defined on the target object; otherwise, `false`.\n         * @example\n         *\n         *     class Example {\n         *         // property declarations are not part of ES6, though they are valid in TypeScript:\n         *         // static staticProperty;\n         *         // property;\n         *\n         *         constructor(p) { }\n         *         static staticMethod(p) { }\n         *         method(p) { }\n         *     }\n         *\n         *     // constructor\n         *     result = Reflect.hasOwnMetadata(\"custom:annotation\", Example);\n         *\n         *     // property (on constructor)\n         *     result = Reflect.hasOwnMetadata(\"custom:annotation\", Example, \"staticProperty\");\n         *\n         *     // property (on prototype)\n         *     result = Reflect.hasOwnMetadata(\"custom:annotation\", Example.prototype, \"property\");\n         *\n         *     // method (on constructor)\n         *     result = Reflect.hasOwnMetadata(\"custom:annotation\", Example, \"staticMethod\");\n         *\n         *     // method (on prototype)\n         *     result = Reflect.hasOwnMetadata(\"custom:annotation\", Example.prototype, \"method\");\n         *\n         */\n        function hasOwnMetadata(metadataKey, target, propertyKey) {\n            if (!IsObject(target))\n                throw new TypeError();\n            if (!IsUndefined(propertyKey))\n                propertyKey = ToPropertyKey(propertyKey);\n            return OrdinaryHasOwnMetadata(metadataKey, target, propertyKey);\n        }\n        exporter(\"hasOwnMetadata\", hasOwnMetadata);\n        /**\n         * Gets the metadata value for the provided metadata key on the target object or its prototype chain.\n         * @param metadataKey A key used to store and retrieve metadata.\n         * @param target The target object on which the metadata is defined.\n         * @param propertyKey (Optional) The property key for the target.\n         * @returns The metadata value for the metadata key if found; otherwise, `undefined`.\n         * @example\n         *\n         *     class Example {\n         *         // property declarations are not part of ES6, though they are valid in TypeScript:\n         *         // static staticProperty;\n         *         // property;\n         *\n         *         constructor(p) { }\n         *         static staticMethod(p) { }\n         *         method(p) { }\n         *     }\n         *\n         *     // constructor\n         *     result = Reflect.getMetadata(\"custom:annotation\", Example);\n         *\n         *     // property (on constructor)\n         *     result = Reflect.getMetadata(\"custom:annotation\", Example, \"staticProperty\");\n         *\n         *     // property (on prototype)\n         *     result = Reflect.getMetadata(\"custom:annotation\", Example.prototype, \"property\");\n         *\n         *     // method (on constructor)\n         *     result = Reflect.getMetadata(\"custom:annotation\", Example, \"staticMethod\");\n         *\n         *     // method (on prototype)\n         *     result = Reflect.getMetadata(\"custom:annotation\", Example.prototype, \"method\");\n         *\n         */\n        function getMetadata(metadataKey, target, propertyKey) {\n            if (!IsObject(target))\n                throw new TypeError();\n            if (!IsUndefined(propertyKey))\n                propertyKey = ToPropertyKey(propertyKey);\n            return OrdinaryGetMetadata(metadataKey, target, propertyKey);\n        }\n        exporter(\"getMetadata\", getMetadata);\n        /**\n         * Gets the metadata value for the provided metadata key on the target object.\n         * @param metadataKey A key used to store and retrieve metadata.\n         * @param target The target object on which the metadata is defined.\n         * @param propertyKey (Optional) The property key for the target.\n         * @returns The metadata value for the metadata key if found; otherwise, `undefined`.\n         * @example\n         *\n         *     class Example {\n         *         // property declarations are not part of ES6, though they are valid in TypeScript:\n         *         // static staticProperty;\n         *         // property;\n         *\n         *         constructor(p) { }\n         *         static staticMethod(p) { }\n         *         method(p) { }\n         *     }\n         *\n         *     // constructor\n         *     result = Reflect.getOwnMetadata(\"custom:annotation\", Example);\n         *\n         *     // property (on constructor)\n         *     result = Reflect.getOwnMetadata(\"custom:annotation\", Example, \"staticProperty\");\n         *\n         *     // property (on prototype)\n         *     result = Reflect.getOwnMetadata(\"custom:annotation\", Example.prototype, \"property\");\n         *\n         *     // method (on constructor)\n         *     result = Reflect.getOwnMetadata(\"custom:annotation\", Example, \"staticMethod\");\n         *\n         *     // method (on prototype)\n         *     result = Reflect.getOwnMetadata(\"custom:annotation\", Example.prototype, \"method\");\n         *\n         */\n        function getOwnMetadata(metadataKey, target, propertyKey) {\n            if (!IsObject(target))\n                throw new TypeError();\n            if (!IsUndefined(propertyKey))\n                propertyKey = ToPropertyKey(propertyKey);\n            return OrdinaryGetOwnMetadata(metadataKey, target, propertyKey);\n        }\n        exporter(\"getOwnMetadata\", getOwnMetadata);\n        /**\n         * Gets the metadata keys defined on the target object or its prototype chain.\n         * @param target The target object on which the metadata is defined.\n         * @param propertyKey (Optional) The property key for the target.\n         * @returns An array of unique metadata keys.\n         * @example\n         *\n         *     class Example {\n         *         // property declarations are not part of ES6, though they are valid in TypeScript:\n         *         // static staticProperty;\n         *         // property;\n         *\n         *         constructor(p) { }\n         *         static staticMethod(p) { }\n         *         method(p) { }\n         *     }\n         *\n         *     // constructor\n         *     result = Reflect.getMetadataKeys(Example);\n         *\n         *     // property (on constructor)\n         *     result = Reflect.getMetadataKeys(Example, \"staticProperty\");\n         *\n         *     // property (on prototype)\n         *     result = Reflect.getMetadataKeys(Example.prototype, \"property\");\n         *\n         *     // method (on constructor)\n         *     result = Reflect.getMetadataKeys(Example, \"staticMethod\");\n         *\n         *     // method (on prototype)\n         *     result = Reflect.getMetadataKeys(Example.prototype, \"method\");\n         *\n         */\n        function getMetadataKeys(target, propertyKey) {\n            if (!IsObject(target))\n                throw new TypeError();\n            if (!IsUndefined(propertyKey))\n                propertyKey = ToPropertyKey(propertyKey);\n            return OrdinaryMetadataKeys(target, propertyKey);\n        }\n        exporter(\"getMetadataKeys\", getMetadataKeys);\n        /**\n         * Gets the unique metadata keys defined on the target object.\n         * @param target The target object on which the metadata is defined.\n         * @param propertyKey (Optional) The property key for the target.\n         * @returns An array of unique metadata keys.\n         * @example\n         *\n         *     class Example {\n         *         // property declarations are not part of ES6, though they are valid in TypeScript:\n         *         // static staticProperty;\n         *         // property;\n         *\n         *         constructor(p) { }\n         *         static staticMethod(p) { }\n         *         method(p) { }\n         *     }\n         *\n         *     // constructor\n         *     result = Reflect.getOwnMetadataKeys(Example);\n         *\n         *     // property (on constructor)\n         *     result = Reflect.getOwnMetadataKeys(Example, \"staticProperty\");\n         *\n         *     // property (on prototype)\n         *     result = Reflect.getOwnMetadataKeys(Example.prototype, \"property\");\n         *\n         *     // method (on constructor)\n         *     result = Reflect.getOwnMetadataKeys(Example, \"staticMethod\");\n         *\n         *     // method (on prototype)\n         *     result = Reflect.getOwnMetadataKeys(Example.prototype, \"method\");\n         *\n         */\n        function getOwnMetadataKeys(target, propertyKey) {\n            if (!IsObject(target))\n                throw new TypeError();\n            if (!IsUndefined(propertyKey))\n                propertyKey = ToPropertyKey(propertyKey);\n            return OrdinaryOwnMetadataKeys(target, propertyKey);\n        }\n        exporter(\"getOwnMetadataKeys\", getOwnMetadataKeys);\n        /**\n         * Deletes the metadata entry from the target object with the provided key.\n         * @param metadataKey A key used to store and retrieve metadata.\n         * @param target The target object on which the metadata is defined.\n         * @param propertyKey (Optional) The property key for the target.\n         * @returns `true` if the metadata entry was found and deleted; otherwise, false.\n         * @example\n         *\n         *     class Example {\n         *         // property declarations are not part of ES6, though they are valid in TypeScript:\n         *         // static staticProperty;\n         *         // property;\n         *\n         *         constructor(p) { }\n         *         static staticMethod(p) { }\n         *         method(p) { }\n         *     }\n         *\n         *     // constructor\n         *     result = Reflect.deleteMetadata(\"custom:annotation\", Example);\n         *\n         *     // property (on constructor)\n         *     result = Reflect.deleteMetadata(\"custom:annotation\", Example, \"staticProperty\");\n         *\n         *     // property (on prototype)\n         *     result = Reflect.deleteMetadata(\"custom:annotation\", Example.prototype, \"property\");\n         *\n         *     // method (on constructor)\n         *     result = Reflect.deleteMetadata(\"custom:annotation\", Example, \"staticMethod\");\n         *\n         *     // method (on prototype)\n         *     result = Reflect.deleteMetadata(\"custom:annotation\", Example.prototype, \"method\");\n         *\n         */\n        function deleteMetadata(metadataKey, target, propertyKey) {\n            if (!IsObject(target))\n                throw new TypeError();\n            if (!IsUndefined(propertyKey))\n                propertyKey = ToPropertyKey(propertyKey);\n            if (!IsObject(target))\n                throw new TypeError();\n            if (!IsUndefined(propertyKey))\n                propertyKey = ToPropertyKey(propertyKey);\n            var provider = GetMetadataProvider(target, propertyKey, /*Create*/ false);\n            if (IsUndefined(provider))\n                return false;\n            return provider.OrdinaryDeleteMetadata(metadataKey, target, propertyKey);\n        }\n        exporter(\"deleteMetadata\", deleteMetadata);\n        function DecorateConstructor(decorators, target) {\n            for (var i = decorators.length - 1; i >= 0; --i) {\n                var decorator = decorators[i];\n                var decorated = decorator(target);\n                if (!IsUndefined(decorated) && !IsNull(decorated)) {\n                    if (!IsConstructor(decorated))\n                        throw new TypeError();\n                    target = decorated;\n                }\n            }\n            return target;\n        }\n        function DecorateProperty(decorators, target, propertyKey, descriptor) {\n            for (var i = decorators.length - 1; i >= 0; --i) {\n                var decorator = decorators[i];\n                var decorated = decorator(target, propertyKey, descriptor);\n                if (!IsUndefined(decorated) && !IsNull(decorated)) {\n                    if (!IsObject(decorated))\n                        throw new TypeError();\n                    descriptor = decorated;\n                }\n            }\n            return descriptor;\n        }\n        // 3.1.1.1 OrdinaryHasMetadata(MetadataKey, O, P)\n        // https://rbuckton.github.io/reflect-metadata/#ordinaryhasmetadata\n        function OrdinaryHasMetadata(MetadataKey, O, P) {\n            var hasOwn = OrdinaryHasOwnMetadata(MetadataKey, O, P);\n            if (hasOwn)\n                return true;\n            var parent = OrdinaryGetPrototypeOf(O);\n            if (!IsNull(parent))\n                return OrdinaryHasMetadata(MetadataKey, parent, P);\n            return false;\n        }\n        // 3.1.2.1 OrdinaryHasOwnMetadata(MetadataKey, O, P)\n        // https://rbuckton.github.io/reflect-metadata/#ordinaryhasownmetadata\n        function OrdinaryHasOwnMetadata(MetadataKey, O, P) {\n            var provider = GetMetadataProvider(O, P, /*Create*/ false);\n            if (IsUndefined(provider))\n                return false;\n            return ToBoolean(provider.OrdinaryHasOwnMetadata(MetadataKey, O, P));\n        }\n        // 3.1.3.1 OrdinaryGetMetadata(MetadataKey, O, P)\n        // https://rbuckton.github.io/reflect-metadata/#ordinarygetmetadata\n        function OrdinaryGetMetadata(MetadataKey, O, P) {\n            var hasOwn = OrdinaryHasOwnMetadata(MetadataKey, O, P);\n            if (hasOwn)\n                return OrdinaryGetOwnMetadata(MetadataKey, O, P);\n            var parent = OrdinaryGetPrototypeOf(O);\n            if (!IsNull(parent))\n                return OrdinaryGetMetadata(MetadataKey, parent, P);\n            return undefined;\n        }\n        // 3.1.4.1 OrdinaryGetOwnMetadata(MetadataKey, O, P)\n        // https://rbuckton.github.io/reflect-metadata/#ordinarygetownmetadata\n        function OrdinaryGetOwnMetadata(MetadataKey, O, P) {\n            var provider = GetMetadataProvider(O, P, /*Create*/ false);\n            if (IsUndefined(provider))\n                return;\n            return provider.OrdinaryGetOwnMetadata(MetadataKey, O, P);\n        }\n        // 3.1.5.1 OrdinaryDefineOwnMetadata(MetadataKey, MetadataValue, O, P)\n        // https://rbuckton.github.io/reflect-metadata/#ordinarydefineownmetadata\n        function OrdinaryDefineOwnMetadata(MetadataKey, MetadataValue, O, P) {\n            var provider = GetMetadataProvider(O, P, /*Create*/ true);\n            provider.OrdinaryDefineOwnMetadata(MetadataKey, MetadataValue, O, P);\n        }\n        // 3.1.6.1 OrdinaryMetadataKeys(O, P)\n        // https://rbuckton.github.io/reflect-metadata/#ordinarymetadatakeys\n        function OrdinaryMetadataKeys(O, P) {\n            var ownKeys = OrdinaryOwnMetadataKeys(O, P);\n            var parent = OrdinaryGetPrototypeOf(O);\n            if (parent === null)\n                return ownKeys;\n            var parentKeys = OrdinaryMetadataKeys(parent, P);\n            if (parentKeys.length <= 0)\n                return ownKeys;\n            if (ownKeys.length <= 0)\n                return parentKeys;\n            var set = new _Set();\n            var keys = [];\n            for (var _i = 0, ownKeys_1 = ownKeys; _i < ownKeys_1.length; _i++) {\n                var key = ownKeys_1[_i];\n                var hasKey = set.has(key);\n                if (!hasKey) {\n                    set.add(key);\n                    keys.push(key);\n                }\n            }\n            for (var _a = 0, parentKeys_1 = parentKeys; _a < parentKeys_1.length; _a++) {\n                var key = parentKeys_1[_a];\n                var hasKey = set.has(key);\n                if (!hasKey) {\n                    set.add(key);\n                    keys.push(key);\n                }\n            }\n            return keys;\n        }\n        // 3.1.7.1 OrdinaryOwnMetadataKeys(O, P)\n        // https://rbuckton.github.io/reflect-metadata/#ordinaryownmetadatakeys\n        function OrdinaryOwnMetadataKeys(O, P) {\n            var provider = GetMetadataProvider(O, P, /*create*/ false);\n            if (!provider) {\n                return [];\n            }\n            return provider.OrdinaryOwnMetadataKeys(O, P);\n        }\n        // 6 ECMAScript Data Types and Values\n        // https://tc39.github.io/ecma262/#sec-ecmascript-data-types-and-values\n        function Type(x) {\n            if (x === null)\n                return 1 /* Null */;\n            switch (typeof x) {\n                case \"undefined\": return 0 /* Undefined */;\n                case \"boolean\": return 2 /* Boolean */;\n                case \"string\": return 3 /* String */;\n                case \"symbol\": return 4 /* Symbol */;\n                case \"number\": return 5 /* Number */;\n                case \"object\": return x === null ? 1 /* Null */ : 6 /* Object */;\n                default: return 6 /* Object */;\n            }\n        }\n        // 6.1.1 The Undefined Type\n        // https://tc39.github.io/ecma262/#sec-ecmascript-language-types-undefined-type\n        function IsUndefined(x) {\n            return x === undefined;\n        }\n        // 6.1.2 The Null Type\n        // https://tc39.github.io/ecma262/#sec-ecmascript-language-types-null-type\n        function IsNull(x) {\n            return x === null;\n        }\n        // 6.1.5 The Symbol Type\n        // https://tc39.github.io/ecma262/#sec-ecmascript-language-types-symbol-type\n        function IsSymbol(x) {\n            return typeof x === \"symbol\";\n        }\n        // 6.1.7 The Object Type\n        // https://tc39.github.io/ecma262/#sec-object-type\n        function IsObject(x) {\n            return typeof x === \"object\" ? x !== null : typeof x === \"function\";\n        }\n        // 7.1 Type Conversion\n        // https://tc39.github.io/ecma262/#sec-type-conversion\n        // 7.1.1 ToPrimitive(input [, PreferredType])\n        // https://tc39.github.io/ecma262/#sec-toprimitive\n        function ToPrimitive(input, PreferredType) {\n            switch (Type(input)) {\n                case 0 /* Undefined */: return input;\n                case 1 /* Null */: return input;\n                case 2 /* Boolean */: return input;\n                case 3 /* String */: return input;\n                case 4 /* Symbol */: return input;\n                case 5 /* Number */: return input;\n            }\n            var hint = PreferredType === 3 /* String */ ? \"string\" : PreferredType === 5 /* Number */ ? \"number\" : \"default\";\n            var exoticToPrim = GetMethod(input, toPrimitiveSymbol);\n            if (exoticToPrim !== undefined) {\n                var result = exoticToPrim.call(input, hint);\n                if (IsObject(result))\n                    throw new TypeError();\n                return result;\n            }\n            return OrdinaryToPrimitive(input, hint === \"default\" ? \"number\" : hint);\n        }\n        // 7.1.1.1 OrdinaryToPrimitive(O, hint)\n        // https://tc39.github.io/ecma262/#sec-ordinarytoprimitive\n        function OrdinaryToPrimitive(O, hint) {\n            if (hint === \"string\") {\n                var toString_1 = O.toString;\n                if (IsCallable(toString_1)) {\n                    var result = toString_1.call(O);\n                    if (!IsObject(result))\n                        return result;\n                }\n                var valueOf = O.valueOf;\n                if (IsCallable(valueOf)) {\n                    var result = valueOf.call(O);\n                    if (!IsObject(result))\n                        return result;\n                }\n            }\n            else {\n                var valueOf = O.valueOf;\n                if (IsCallable(valueOf)) {\n                    var result = valueOf.call(O);\n                    if (!IsObject(result))\n                        return result;\n                }\n                var toString_2 = O.toString;\n                if (IsCallable(toString_2)) {\n                    var result = toString_2.call(O);\n                    if (!IsObject(result))\n                        return result;\n                }\n            }\n            throw new TypeError();\n        }\n        // 7.1.2 ToBoolean(argument)\n        // https://tc39.github.io/ecma262/2016/#sec-toboolean\n        function ToBoolean(argument) {\n            return !!argument;\n        }\n        // 7.1.12 ToString(argument)\n        // https://tc39.github.io/ecma262/#sec-tostring\n        function ToString(argument) {\n            return \"\" + argument;\n        }\n        // 7.1.14 ToPropertyKey(argument)\n        // https://tc39.github.io/ecma262/#sec-topropertykey\n        function ToPropertyKey(argument) {\n            var key = ToPrimitive(argument, 3 /* String */);\n            if (IsSymbol(key))\n                return key;\n            return ToString(key);\n        }\n        // 7.2 Testing and Comparison Operations\n        // https://tc39.github.io/ecma262/#sec-testing-and-comparison-operations\n        // 7.2.2 IsArray(argument)\n        // https://tc39.github.io/ecma262/#sec-isarray\n        function IsArray(argument) {\n            return Array.isArray\n                ? Array.isArray(argument)\n                : argument instanceof Object\n                    ? argument instanceof Array\n                    : Object.prototype.toString.call(argument) === \"[object Array]\";\n        }\n        // 7.2.3 IsCallable(argument)\n        // https://tc39.github.io/ecma262/#sec-iscallable\n        function IsCallable(argument) {\n            // NOTE: This is an approximation as we cannot check for [[Call]] internal method.\n            return typeof argument === \"function\";\n        }\n        // 7.2.4 IsConstructor(argument)\n        // https://tc39.github.io/ecma262/#sec-isconstructor\n        function IsConstructor(argument) {\n            // NOTE: This is an approximation as we cannot check for [[Construct]] internal method.\n            return typeof argument === \"function\";\n        }\n        // 7.2.7 IsPropertyKey(argument)\n        // https://tc39.github.io/ecma262/#sec-ispropertykey\n        function IsPropertyKey(argument) {\n            switch (Type(argument)) {\n                case 3 /* String */: return true;\n                case 4 /* Symbol */: return true;\n                default: return false;\n            }\n        }\n        function SameValueZero(x, y) {\n            return x === y || x !== x && y !== y;\n        }\n        // 7.3 Operations on Objects\n        // https://tc39.github.io/ecma262/#sec-operations-on-objects\n        // 7.3.9 GetMethod(V, P)\n        // https://tc39.github.io/ecma262/#sec-getmethod\n        function GetMethod(V, P) {\n            var func = V[P];\n            if (func === undefined || func === null)\n                return undefined;\n            if (!IsCallable(func))\n                throw new TypeError();\n            return func;\n        }\n        // 7.4 Operations on Iterator Objects\n        // https://tc39.github.io/ecma262/#sec-operations-on-iterator-objects\n        function GetIterator(obj) {\n            var method = GetMethod(obj, iteratorSymbol);\n            if (!IsCallable(method))\n                throw new TypeError(); // from Call\n            var iterator = method.call(obj);\n            if (!IsObject(iterator))\n                throw new TypeError();\n            return iterator;\n        }\n        // 7.4.4 IteratorValue(iterResult)\n        // https://tc39.github.io/ecma262/2016/#sec-iteratorvalue\n        function IteratorValue(iterResult) {\n            return iterResult.value;\n        }\n        // 7.4.5 IteratorStep(iterator)\n        // https://tc39.github.io/ecma262/#sec-iteratorstep\n        function IteratorStep(iterator) {\n            var result = iterator.next();\n            return result.done ? false : result;\n        }\n        // 7.4.6 IteratorClose(iterator, completion)\n        // https://tc39.github.io/ecma262/#sec-iteratorclose\n        function IteratorClose(iterator) {\n            var f = iterator[\"return\"];\n            if (f)\n                f.call(iterator);\n        }\n        // 9.1 Ordinary Object Internal Methods and Internal Slots\n        // https://tc39.github.io/ecma262/#sec-ordinary-object-internal-methods-and-internal-slots\n        // 9.1.1.1 OrdinaryGetPrototypeOf(O)\n        // https://tc39.github.io/ecma262/#sec-ordinarygetprototypeof\n        function OrdinaryGetPrototypeOf(O) {\n            var proto = Object.getPrototypeOf(O);\n            if (typeof O !== \"function\" || O === functionPrototype)\n                return proto;\n            // TypeScript doesn't set __proto__ in ES5, as it's non-standard.\n            // Try to determine the superclass constructor. Compatible implementations\n            // must either set __proto__ on a subclass constructor to the superclass constructor,\n            // or ensure each class has a valid `constructor` property on its prototype that\n            // points back to the constructor.\n            // If this is not the same as Function.[[Prototype]], then this is definately inherited.\n            // This is the case when in ES6 or when using __proto__ in a compatible browser.\n            if (proto !== functionPrototype)\n                return proto;\n            // If the super prototype is Object.prototype, null, or undefined, then we cannot determine the heritage.\n            var prototype = O.prototype;\n            var prototypeProto = prototype && Object.getPrototypeOf(prototype);\n            if (prototypeProto == null || prototypeProto === Object.prototype)\n                return proto;\n            // If the constructor was not a function, then we cannot determine the heritage.\n            var constructor = prototypeProto.constructor;\n            if (typeof constructor !== \"function\")\n                return proto;\n            // If we have some kind of self-reference, then we cannot determine the heritage.\n            if (constructor === O)\n                return proto;\n            // we have a pretty good guess at the heritage.\n            return constructor;\n        }\n        // Global metadata registry\n        // - Allows `import \"reflect-metadata\"` and `import \"reflect-metadata/no-conflict\"` to interoperate.\n        // - Uses isolated metadata if `Reflect` is frozen before the registry can be installed.\n        /**\n         * Creates a registry used to allow multiple `reflect-metadata` providers.\n         */\n        function CreateMetadataRegistry() {\n            var fallback;\n            if (!IsUndefined(registrySymbol) &&\n                typeof root.Reflect !== \"undefined\" &&\n                !(registrySymbol in root.Reflect) &&\n                typeof root.Reflect.defineMetadata === \"function\") {\n                // interoperate with older version of `reflect-metadata` that did not support a registry.\n                fallback = CreateFallbackProvider(root.Reflect);\n            }\n            var first;\n            var second;\n            var rest;\n            var targetProviderMap = new _WeakMap();\n            var registry = {\n                registerProvider: registerProvider,\n                getProvider: getProvider,\n                setProvider: setProvider,\n            };\n            return registry;\n            function registerProvider(provider) {\n                if (!Object.isExtensible(registry)) {\n                    throw new Error(\"Cannot add provider to a frozen registry.\");\n                }\n                switch (true) {\n                    case fallback === provider: break;\n                    case IsUndefined(first):\n                        first = provider;\n                        break;\n                    case first === provider: break;\n                    case IsUndefined(second):\n                        second = provider;\n                        break;\n                    case second === provider: break;\n                    default:\n                        if (rest === undefined)\n                            rest = new _Set();\n                        rest.add(provider);\n                        break;\n                }\n            }\n            function getProviderNoCache(O, P) {\n                if (!IsUndefined(first)) {\n                    if (first.isProviderFor(O, P))\n                        return first;\n                    if (!IsUndefined(second)) {\n                        if (second.isProviderFor(O, P))\n                            return first;\n                        if (!IsUndefined(rest)) {\n                            var iterator = GetIterator(rest);\n                            while (true) {\n                                var next = IteratorStep(iterator);\n                                if (!next) {\n                                    return undefined;\n                                }\n                                var provider = IteratorValue(next);\n                                if (provider.isProviderFor(O, P)) {\n                                    IteratorClose(iterator);\n                                    return provider;\n                                }\n                            }\n                        }\n                    }\n                }\n                if (!IsUndefined(fallback) && fallback.isProviderFor(O, P)) {\n                    return fallback;\n                }\n                return undefined;\n            }\n            function getProvider(O, P) {\n                var providerMap = targetProviderMap.get(O);\n                var provider;\n                if (!IsUndefined(providerMap)) {\n                    provider = providerMap.get(P);\n                }\n                if (!IsUndefined(provider)) {\n                    return provider;\n                }\n                provider = getProviderNoCache(O, P);\n                if (!IsUndefined(provider)) {\n                    if (IsUndefined(providerMap)) {\n                        providerMap = new _Map();\n                        targetProviderMap.set(O, providerMap);\n                    }\n                    providerMap.set(P, provider);\n                }\n                return provider;\n            }\n            function hasProvider(provider) {\n                if (IsUndefined(provider))\n                    throw new TypeError();\n                return first === provider || second === provider || !IsUndefined(rest) && rest.has(provider);\n            }\n            function setProvider(O, P, provider) {\n                if (!hasProvider(provider)) {\n                    throw new Error(\"Metadata provider not registered.\");\n                }\n                var existingProvider = getProvider(O, P);\n                if (existingProvider !== provider) {\n                    if (!IsUndefined(existingProvider)) {\n                        return false;\n                    }\n                    var providerMap = targetProviderMap.get(O);\n                    if (IsUndefined(providerMap)) {\n                        providerMap = new _Map();\n                        targetProviderMap.set(O, providerMap);\n                    }\n                    providerMap.set(P, provider);\n                }\n                return true;\n            }\n        }\n        /**\n         * Gets or creates the shared registry of metadata providers.\n         */\n        function GetOrCreateMetadataRegistry() {\n            var metadataRegistry;\n            if (!IsUndefined(registrySymbol) && IsObject(root.Reflect) && Object.isExtensible(root.Reflect)) {\n                metadataRegistry = root.Reflect[registrySymbol];\n            }\n            if (IsUndefined(metadataRegistry)) {\n                metadataRegistry = CreateMetadataRegistry();\n            }\n            if (!IsUndefined(registrySymbol) && IsObject(root.Reflect) && Object.isExtensible(root.Reflect)) {\n                Object.defineProperty(root.Reflect, registrySymbol, {\n                    enumerable: false,\n                    configurable: false,\n                    writable: false,\n                    value: metadataRegistry\n                });\n            }\n            return metadataRegistry;\n        }\n        function CreateMetadataProvider(registry) {\n            // [[Metadata]] internal slot\n            // https://rbuckton.github.io/reflect-metadata/#ordinary-object-internal-methods-and-internal-slots\n            var metadata = new _WeakMap();\n            var provider = {\n                isProviderFor: function (O, P) {\n                    var targetMetadata = metadata.get(O);\n                    if (IsUndefined(targetMetadata))\n                        return false;\n                    return targetMetadata.has(P);\n                },\n                OrdinaryDefineOwnMetadata: OrdinaryDefineOwnMetadata,\n                OrdinaryHasOwnMetadata: OrdinaryHasOwnMetadata,\n                OrdinaryGetOwnMetadata: OrdinaryGetOwnMetadata,\n                OrdinaryOwnMetadataKeys: OrdinaryOwnMetadataKeys,\n                OrdinaryDeleteMetadata: OrdinaryDeleteMetadata,\n            };\n            metadataRegistry.registerProvider(provider);\n            return provider;\n            function GetOrCreateMetadataMap(O, P, Create) {\n                var targetMetadata = metadata.get(O);\n                var createdTargetMetadata = false;\n                if (IsUndefined(targetMetadata)) {\n                    if (!Create)\n                        return undefined;\n                    targetMetadata = new _Map();\n                    metadata.set(O, targetMetadata);\n                    createdTargetMetadata = true;\n                }\n                var metadataMap = targetMetadata.get(P);\n                if (IsUndefined(metadataMap)) {\n                    if (!Create)\n                        return undefined;\n                    metadataMap = new _Map();\n                    targetMetadata.set(P, metadataMap);\n                    if (!registry.setProvider(O, P, provider)) {\n                        targetMetadata.delete(P);\n                        if (createdTargetMetadata) {\n                            metadata.delete(O);\n                        }\n                        throw new Error(\"Wrong provider for target.\");\n                    }\n                }\n                return metadataMap;\n            }\n            // 3.1.2.1 OrdinaryHasOwnMetadata(MetadataKey, O, P)\n            // https://rbuckton.github.io/reflect-metadata/#ordinaryhasownmetadata\n            function OrdinaryHasOwnMetadata(MetadataKey, O, P) {\n                var metadataMap = GetOrCreateMetadataMap(O, P, /*Create*/ false);\n                if (IsUndefined(metadataMap))\n                    return false;\n                return ToBoolean(metadataMap.has(MetadataKey));\n            }\n            // 3.1.4.1 OrdinaryGetOwnMetadata(MetadataKey, O, P)\n            // https://rbuckton.github.io/reflect-metadata/#ordinarygetownmetadata\n            function OrdinaryGetOwnMetadata(MetadataKey, O, P) {\n                var metadataMap = GetOrCreateMetadataMap(O, P, /*Create*/ false);\n                if (IsUndefined(metadataMap))\n                    return undefined;\n                return metadataMap.get(MetadataKey);\n            }\n            // 3.1.5.1 OrdinaryDefineOwnMetadata(MetadataKey, MetadataValue, O, P)\n            // https://rbuckton.github.io/reflect-metadata/#ordinarydefineownmetadata\n            function OrdinaryDefineOwnMetadata(MetadataKey, MetadataValue, O, P) {\n                var metadataMap = GetOrCreateMetadataMap(O, P, /*Create*/ true);\n                metadataMap.set(MetadataKey, MetadataValue);\n            }\n            // 3.1.7.1 OrdinaryOwnMetadataKeys(O, P)\n            // https://rbuckton.github.io/reflect-metadata/#ordinaryownmetadatakeys\n            function OrdinaryOwnMetadataKeys(O, P) {\n                var keys = [];\n                var metadataMap = GetOrCreateMetadataMap(O, P, /*Create*/ false);\n                if (IsUndefined(metadataMap))\n                    return keys;\n                var keysObj = metadataMap.keys();\n                var iterator = GetIterator(keysObj);\n                var k = 0;\n                while (true) {\n                    var next = IteratorStep(iterator);\n                    if (!next) {\n                        keys.length = k;\n                        return keys;\n                    }\n                    var nextValue = IteratorValue(next);\n                    try {\n                        keys[k] = nextValue;\n                    }\n                    catch (e) {\n                        try {\n                            IteratorClose(iterator);\n                        }\n                        finally {\n                            throw e;\n                        }\n                    }\n                    k++;\n                }\n            }\n            function OrdinaryDeleteMetadata(MetadataKey, O, P) {\n                var metadataMap = GetOrCreateMetadataMap(O, P, /*Create*/ false);\n                if (IsUndefined(metadataMap))\n                    return false;\n                if (!metadataMap.delete(MetadataKey))\n                    return false;\n                if (metadataMap.size === 0) {\n                    var targetMetadata = metadata.get(O);\n                    if (!IsUndefined(targetMetadata)) {\n                        targetMetadata.delete(P);\n                        if (targetMetadata.size === 0) {\n                            metadata.delete(targetMetadata);\n                        }\n                    }\n                }\n                return true;\n            }\n        }\n        function CreateFallbackProvider(reflect) {\n            var defineMetadata = reflect.defineMetadata, hasOwnMetadata = reflect.hasOwnMetadata, getOwnMetadata = reflect.getOwnMetadata, getOwnMetadataKeys = reflect.getOwnMetadataKeys, deleteMetadata = reflect.deleteMetadata;\n            var metadataOwner = new _WeakMap();\n            var provider = {\n                isProviderFor: function (O, P) {\n                    var metadataPropertySet = metadataOwner.get(O);\n                    if (!IsUndefined(metadataPropertySet) && metadataPropertySet.has(P)) {\n                        return true;\n                    }\n                    if (getOwnMetadataKeys(O, P).length) {\n                        if (IsUndefined(metadataPropertySet)) {\n                            metadataPropertySet = new _Set();\n                            metadataOwner.set(O, metadataPropertySet);\n                        }\n                        metadataPropertySet.add(P);\n                        return true;\n                    }\n                    return false;\n                },\n                OrdinaryDefineOwnMetadata: defineMetadata,\n                OrdinaryHasOwnMetadata: hasOwnMetadata,\n                OrdinaryGetOwnMetadata: getOwnMetadata,\n                OrdinaryOwnMetadataKeys: getOwnMetadataKeys,\n                OrdinaryDeleteMetadata: deleteMetadata,\n            };\n            return provider;\n        }\n        /**\n         * Gets the metadata provider for an object. If the object has no metadata provider and this is for a create operation,\n         * then this module's metadata provider is assigned to the object.\n         */\n        function GetMetadataProvider(O, P, Create) {\n            var registeredProvider = metadataRegistry.getProvider(O, P);\n            if (!IsUndefined(registeredProvider)) {\n                return registeredProvider;\n            }\n            if (Create) {\n                if (metadataRegistry.setProvider(O, P, metadataProvider)) {\n                    return metadataProvider;\n                }\n                throw new Error(\"Illegal state.\");\n            }\n            return undefined;\n        }\n        // naive Map shim\n        function CreateMapPolyfill() {\n            var cacheSentinel = {};\n            var arraySentinel = [];\n            var MapIterator = /** @class */ (function () {\n                function MapIterator(keys, values, selector) {\n                    this._index = 0;\n                    this._keys = keys;\n                    this._values = values;\n                    this._selector = selector;\n                }\n                MapIterator.prototype[\"@@iterator\"] = function () { return this; };\n                MapIterator.prototype[iteratorSymbol] = function () { return this; };\n                MapIterator.prototype.next = function () {\n                    var index = this._index;\n                    if (index >= 0 && index < this._keys.length) {\n                        var result = this._selector(this._keys[index], this._values[index]);\n                        if (index + 1 >= this._keys.length) {\n                            this._index = -1;\n                            this._keys = arraySentinel;\n                            this._values = arraySentinel;\n                        }\n                        else {\n                            this._index++;\n                        }\n                        return { value: result, done: false };\n                    }\n                    return { value: undefined, done: true };\n                };\n                MapIterator.prototype.throw = function (error) {\n                    if (this._index >= 0) {\n                        this._index = -1;\n                        this._keys = arraySentinel;\n                        this._values = arraySentinel;\n                    }\n                    throw error;\n                };\n                MapIterator.prototype.return = function (value) {\n                    if (this._index >= 0) {\n                        this._index = -1;\n                        this._keys = arraySentinel;\n                        this._values = arraySentinel;\n                    }\n                    return { value: value, done: true };\n                };\n                return MapIterator;\n            }());\n            var Map = /** @class */ (function () {\n                function Map() {\n                    this._keys = [];\n                    this._values = [];\n                    this._cacheKey = cacheSentinel;\n                    this._cacheIndex = -2;\n                }\n                Object.defineProperty(Map.prototype, \"size\", {\n                    get: function () { return this._keys.length; },\n                    enumerable: true,\n                    configurable: true\n                });\n                Map.prototype.has = function (key) { return this._find(key, /*insert*/ false) >= 0; };\n                Map.prototype.get = function (key) {\n                    var index = this._find(key, /*insert*/ false);\n                    return index >= 0 ? this._values[index] : undefined;\n                };\n                Map.prototype.set = function (key, value) {\n                    var index = this._find(key, /*insert*/ true);\n                    this._values[index] = value;\n                    return this;\n                };\n                Map.prototype.delete = function (key) {\n                    var index = this._find(key, /*insert*/ false);\n                    if (index >= 0) {\n                        var size = this._keys.length;\n                        for (var i = index + 1; i < size; i++) {\n                            this._keys[i - 1] = this._keys[i];\n                            this._values[i - 1] = this._values[i];\n                        }\n                        this._keys.length--;\n                        this._values.length--;\n                        if (SameValueZero(key, this._cacheKey)) {\n                            this._cacheKey = cacheSentinel;\n                            this._cacheIndex = -2;\n                        }\n                        return true;\n                    }\n                    return false;\n                };\n                Map.prototype.clear = function () {\n                    this._keys.length = 0;\n                    this._values.length = 0;\n                    this._cacheKey = cacheSentinel;\n                    this._cacheIndex = -2;\n                };\n                Map.prototype.keys = function () { return new MapIterator(this._keys, this._values, getKey); };\n                Map.prototype.values = function () { return new MapIterator(this._keys, this._values, getValue); };\n                Map.prototype.entries = function () { return new MapIterator(this._keys, this._values, getEntry); };\n                Map.prototype[\"@@iterator\"] = function () { return this.entries(); };\n                Map.prototype[iteratorSymbol] = function () { return this.entries(); };\n                Map.prototype._find = function (key, insert) {\n                    if (!SameValueZero(this._cacheKey, key)) {\n                        this._cacheIndex = -1;\n                        for (var i = 0; i < this._keys.length; i++) {\n                            if (SameValueZero(this._keys[i], key)) {\n                                this._cacheIndex = i;\n                                break;\n                            }\n                        }\n                    }\n                    if (this._cacheIndex < 0 && insert) {\n                        this._cacheIndex = this._keys.length;\n                        this._keys.push(key);\n                        this._values.push(undefined);\n                    }\n                    return this._cacheIndex;\n                };\n                return Map;\n            }());\n            return Map;\n            function getKey(key, _) {\n                return key;\n            }\n            function getValue(_, value) {\n                return value;\n            }\n            function getEntry(key, value) {\n                return [key, value];\n            }\n        }\n        // naive Set shim\n        function CreateSetPolyfill() {\n            var Set = /** @class */ (function () {\n                function Set() {\n                    this._map = new _Map();\n                }\n                Object.defineProperty(Set.prototype, \"size\", {\n                    get: function () { return this._map.size; },\n                    enumerable: true,\n                    configurable: true\n                });\n                Set.prototype.has = function (value) { return this._map.has(value); };\n                Set.prototype.add = function (value) { return this._map.set(value, value), this; };\n                Set.prototype.delete = function (value) { return this._map.delete(value); };\n                Set.prototype.clear = function () { this._map.clear(); };\n                Set.prototype.keys = function () { return this._map.keys(); };\n                Set.prototype.values = function () { return this._map.keys(); };\n                Set.prototype.entries = function () { return this._map.entries(); };\n                Set.prototype[\"@@iterator\"] = function () { return this.keys(); };\n                Set.prototype[iteratorSymbol] = function () { return this.keys(); };\n                return Set;\n            }());\n            return Set;\n        }\n        // naive WeakMap shim\n        function CreateWeakMapPolyfill() {\n            var UUID_SIZE = 16;\n            var keys = HashMap.create();\n            var rootKey = CreateUniqueKey();\n            return /** @class */ (function () {\n                function WeakMap() {\n                    this._key = CreateUniqueKey();\n                }\n                WeakMap.prototype.has = function (target) {\n                    var table = GetOrCreateWeakMapTable(target, /*create*/ false);\n                    return table !== undefined ? HashMap.has(table, this._key) : false;\n                };\n                WeakMap.prototype.get = function (target) {\n                    var table = GetOrCreateWeakMapTable(target, /*create*/ false);\n                    return table !== undefined ? HashMap.get(table, this._key) : undefined;\n                };\n                WeakMap.prototype.set = function (target, value) {\n                    var table = GetOrCreateWeakMapTable(target, /*create*/ true);\n                    table[this._key] = value;\n                    return this;\n                };\n                WeakMap.prototype.delete = function (target) {\n                    var table = GetOrCreateWeakMapTable(target, /*create*/ false);\n                    return table !== undefined ? delete table[this._key] : false;\n                };\n                WeakMap.prototype.clear = function () {\n                    // NOTE: not a real clear, just makes the previous data unreachable\n                    this._key = CreateUniqueKey();\n                };\n                return WeakMap;\n            }());\n            function CreateUniqueKey() {\n                var key;\n                do\n                    key = \"@@WeakMap@@\" + CreateUUID();\n                while (HashMap.has(keys, key));\n                keys[key] = true;\n                return key;\n            }\n            function GetOrCreateWeakMapTable(target, create) {\n                if (!hasOwn.call(target, rootKey)) {\n                    if (!create)\n                        return undefined;\n                    Object.defineProperty(target, rootKey, { value: HashMap.create() });\n                }\n                return target[rootKey];\n            }\n            function FillRandomBytes(buffer, size) {\n                for (var i = 0; i < size; ++i)\n                    buffer[i] = Math.random() * 0xff | 0;\n                return buffer;\n            }\n            function GenRandomBytes(size) {\n                if (typeof Uint8Array === \"function\") {\n                    var array = new Uint8Array(size);\n                    if (typeof crypto !== \"undefined\") {\n                        crypto.getRandomValues(array);\n                    }\n                    else if (typeof msCrypto !== \"undefined\") {\n                        msCrypto.getRandomValues(array);\n                    }\n                    else {\n                        FillRandomBytes(array, size);\n                    }\n                    return array;\n                }\n                return FillRandomBytes(new Array(size), size);\n            }\n            function CreateUUID() {\n                var data = GenRandomBytes(UUID_SIZE);\n                // mark as random - RFC 4122 § 4.4\n                data[6] = data[6] & 0x4f | 0x40;\n                data[8] = data[8] & 0xbf | 0x80;\n                var result = \"\";\n                for (var offset = 0; offset < UUID_SIZE; ++offset) {\n                    var byte = data[offset];\n                    if (offset === 4 || offset === 6 || offset === 8)\n                        result += \"-\";\n                    if (byte < 16)\n                        result += \"0\";\n                    result += byte.toString(16).toLowerCase();\n                }\n                return result;\n            }\n        }\n        // uses a heuristic used by v8 and chakra to force an object into dictionary mode.\n        function MakeDictionary(obj) {\n            obj.__ = undefined;\n            delete obj.__;\n            return obj;\n        }\n    });\n})(Reflect || (Reflect = {}));\n","\n\t\t\timport 'reflect-metadata';\n\t\t\twindow[\"__COMFYUI_FRONTEND_VERSION__\"] = __COMFYUI_FRONTEND_VERSION__;\n\t\t\tconsole.log(\"ComfyUI Front-end version:\", __COMFYUI_FRONTEND_VERSION__);\n\t\t","/**\n* @vue/shared v3.4.31\n* (c) 2018-present Yuxi (Evan) You and Vue contributors\n* @license MIT\n**/\n/*! #__NO_SIDE_EFFECTS__ */\n// @__NO_SIDE_EFFECTS__\nfunction makeMap(str, expectsLowerCase) {\n  const set = new Set(str.split(\",\"));\n  return expectsLowerCase ? (val) => set.has(val.toLowerCase()) : (val) => set.has(val);\n}\n\nconst EMPTY_OBJ = !!(process.env.NODE_ENV !== \"production\") ? Object.freeze({}) : {};\nconst EMPTY_ARR = !!(process.env.NODE_ENV !== \"production\") ? Object.freeze([]) : [];\nconst NOOP = () => {\n};\nconst NO = () => false;\nconst isOn = (key) => key.charCodeAt(0) === 111 && key.charCodeAt(1) === 110 && // uppercase letter\n(key.charCodeAt(2) > 122 || key.charCodeAt(2) < 97);\nconst isModelListener = (key) => key.startsWith(\"onUpdate:\");\nconst extend = Object.assign;\nconst remove = (arr, el) => {\n  const i = arr.indexOf(el);\n  if (i > -1) {\n    arr.splice(i, 1);\n  }\n};\nconst hasOwnProperty = Object.prototype.hasOwnProperty;\nconst hasOwn = (val, key) => hasOwnProperty.call(val, key);\nconst isArray = Array.isArray;\nconst isMap = (val) => toTypeString(val) === \"[object Map]\";\nconst isSet = (val) => toTypeString(val) === \"[object Set]\";\nconst isDate = (val) => toTypeString(val) === \"[object Date]\";\nconst isRegExp = (val) => toTypeString(val) === \"[object RegExp]\";\nconst isFunction = (val) => typeof val === \"function\";\nconst isString = (val) => typeof val === \"string\";\nconst isSymbol = (val) => typeof val === \"symbol\";\nconst isObject = (val) => val !== null && typeof val === \"object\";\nconst isPromise = (val) => {\n  return (isObject(val) || isFunction(val)) && isFunction(val.then) && isFunction(val.catch);\n};\nconst objectToString = Object.prototype.toString;\nconst toTypeString = (value) => objectToString.call(value);\nconst toRawType = (value) => {\n  return toTypeString(value).slice(8, -1);\n};\nconst isPlainObject = (val) => toTypeString(val) === \"[object Object]\";\nconst isIntegerKey = (key) => isString(key) && key !== \"NaN\" && key[0] !== \"-\" && \"\" + parseInt(key, 10) === key;\nconst isReservedProp = /* @__PURE__ */ makeMap(\n  // the leading comma is intentional so empty string \"\" is also included\n  \",key,ref,ref_for,ref_key,onVnodeBeforeMount,onVnodeMounted,onVnodeBeforeUpdate,onVnodeUpdated,onVnodeBeforeUnmount,onVnodeUnmounted\"\n);\nconst isBuiltInDirective = /* @__PURE__ */ makeMap(\n  \"bind,cloak,else-if,else,for,html,if,model,on,once,pre,show,slot,text,memo\"\n);\nconst cacheStringFunction = (fn) => {\n  const cache = /* @__PURE__ */ Object.create(null);\n  return (str) => {\n    const hit = cache[str];\n    return hit || (cache[str] = fn(str));\n  };\n};\nconst camelizeRE = /-(\\w)/g;\nconst camelize = cacheStringFunction((str) => {\n  return str.replace(camelizeRE, (_, c) => c ? c.toUpperCase() : \"\");\n});\nconst hyphenateRE = /\\B([A-Z])/g;\nconst hyphenate = cacheStringFunction(\n  (str) => str.replace(hyphenateRE, \"-$1\").toLowerCase()\n);\nconst capitalize = cacheStringFunction((str) => {\n  return str.charAt(0).toUpperCase() + str.slice(1);\n});\nconst toHandlerKey = cacheStringFunction((str) => {\n  const s = str ? `on${capitalize(str)}` : ``;\n  return s;\n});\nconst hasChanged = (value, oldValue) => !Object.is(value, oldValue);\nconst invokeArrayFns = (fns, ...arg) => {\n  for (let i = 0; i < fns.length; i++) {\n    fns[i](...arg);\n  }\n};\nconst def = (obj, key, value, writable = false) => {\n  Object.defineProperty(obj, key, {\n    configurable: true,\n    enumerable: false,\n    writable,\n    value\n  });\n};\nconst looseToNumber = (val) => {\n  const n = parseFloat(val);\n  return isNaN(n) ? val : n;\n};\nconst toNumber = (val) => {\n  const n = isString(val) ? Number(val) : NaN;\n  return isNaN(n) ? val : n;\n};\nlet _globalThis;\nconst getGlobalThis = () => {\n  return _globalThis || (_globalThis = typeof globalThis !== \"undefined\" ? globalThis : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : typeof global !== \"undefined\" ? global : {});\n};\nconst identRE = /^[_$a-zA-Z\\xA0-\\uFFFF][_$a-zA-Z0-9\\xA0-\\uFFFF]*$/;\nfunction genPropsAccessExp(name) {\n  return identRE.test(name) ? `__props.${name}` : `__props[${JSON.stringify(name)}]`;\n}\n\nconst PatchFlags = {\n  \"TEXT\": 1,\n  \"1\": \"TEXT\",\n  \"CLASS\": 2,\n  \"2\": \"CLASS\",\n  \"STYLE\": 4,\n  \"4\": \"STYLE\",\n  \"PROPS\": 8,\n  \"8\": \"PROPS\",\n  \"FULL_PROPS\": 16,\n  \"16\": \"FULL_PROPS\",\n  \"NEED_HYDRATION\": 32,\n  \"32\": \"NEED_HYDRATION\",\n  \"STABLE_FRAGMENT\": 64,\n  \"64\": \"STABLE_FRAGMENT\",\n  \"KEYED_FRAGMENT\": 128,\n  \"128\": \"KEYED_FRAGMENT\",\n  \"UNKEYED_FRAGMENT\": 256,\n  \"256\": \"UNKEYED_FRAGMENT\",\n  \"NEED_PATCH\": 512,\n  \"512\": \"NEED_PATCH\",\n  \"DYNAMIC_SLOTS\": 1024,\n  \"1024\": \"DYNAMIC_SLOTS\",\n  \"DEV_ROOT_FRAGMENT\": 2048,\n  \"2048\": \"DEV_ROOT_FRAGMENT\",\n  \"HOISTED\": -1,\n  \"-1\": \"HOISTED\",\n  \"BAIL\": -2,\n  \"-2\": \"BAIL\"\n};\nconst PatchFlagNames = {\n  [1]: `TEXT`,\n  [2]: `CLASS`,\n  [4]: `STYLE`,\n  [8]: `PROPS`,\n  [16]: `FULL_PROPS`,\n  [32]: `NEED_HYDRATION`,\n  [64]: `STABLE_FRAGMENT`,\n  [128]: `KEYED_FRAGMENT`,\n  [256]: `UNKEYED_FRAGMENT`,\n  [512]: `NEED_PATCH`,\n  [1024]: `DYNAMIC_SLOTS`,\n  [2048]: `DEV_ROOT_FRAGMENT`,\n  [-1]: `HOISTED`,\n  [-2]: `BAIL`\n};\n\nconst ShapeFlags = {\n  \"ELEMENT\": 1,\n  \"1\": \"ELEMENT\",\n  \"FUNCTIONAL_COMPONENT\": 2,\n  \"2\": \"FUNCTIONAL_COMPONENT\",\n  \"STATEFUL_COMPONENT\": 4,\n  \"4\": \"STATEFUL_COMPONENT\",\n  \"TEXT_CHILDREN\": 8,\n  \"8\": \"TEXT_CHILDREN\",\n  \"ARRAY_CHILDREN\": 16,\n  \"16\": \"ARRAY_CHILDREN\",\n  \"SLOTS_CHILDREN\": 32,\n  \"32\": \"SLOTS_CHILDREN\",\n  \"TELEPORT\": 64,\n  \"64\": \"TELEPORT\",\n  \"SUSPENSE\": 128,\n  \"128\": \"SUSPENSE\",\n  \"COMPONENT_SHOULD_KEEP_ALIVE\": 256,\n  \"256\": \"COMPONENT_SHOULD_KEEP_ALIVE\",\n  \"COMPONENT_KEPT_ALIVE\": 512,\n  \"512\": \"COMPONENT_KEPT_ALIVE\",\n  \"COMPONENT\": 6,\n  \"6\": \"COMPONENT\"\n};\n\nconst SlotFlags = {\n  \"STABLE\": 1,\n  \"1\": \"STABLE\",\n  \"DYNAMIC\": 2,\n  \"2\": \"DYNAMIC\",\n  \"FORWARDED\": 3,\n  \"3\": \"FORWARDED\"\n};\nconst slotFlagsText = {\n  [1]: \"STABLE\",\n  [2]: \"DYNAMIC\",\n  [3]: \"FORWARDED\"\n};\n\nconst GLOBALS_ALLOWED = \"Infinity,undefined,NaN,isFinite,isNaN,parseFloat,parseInt,decodeURI,decodeURIComponent,encodeURI,encodeURIComponent,Math,Number,Date,Array,Object,Boolean,String,RegExp,Map,Set,JSON,Intl,BigInt,console,Error\";\nconst isGloballyAllowed = /* @__PURE__ */ makeMap(GLOBALS_ALLOWED);\nconst isGloballyWhitelisted = isGloballyAllowed;\n\nconst range = 2;\nfunction generateCodeFrame(source, start = 0, end = source.length) {\n  start = Math.max(0, Math.min(start, source.length));\n  end = Math.max(0, Math.min(end, source.length));\n  if (start > end) return \"\";\n  let lines = source.split(/(\\r?\\n)/);\n  const newlineSequences = lines.filter((_, idx) => idx % 2 === 1);\n  lines = lines.filter((_, idx) => idx % 2 === 0);\n  let count = 0;\n  const res = [];\n  for (let i = 0; i < lines.length; i++) {\n    count += lines[i].length + (newlineSequences[i] && newlineSequences[i].length || 0);\n    if (count >= start) {\n      for (let j = i - range; j <= i + range || end > count; j++) {\n        if (j < 0 || j >= lines.length) continue;\n        const line = j + 1;\n        res.push(\n          `${line}${\" \".repeat(Math.max(3 - String(line).length, 0))}|  ${lines[j]}`\n        );\n        const lineLength = lines[j].length;\n        const newLineSeqLength = newlineSequences[j] && newlineSequences[j].length || 0;\n        if (j === i) {\n          const pad = start - (count - (lineLength + newLineSeqLength));\n          const length = Math.max(\n            1,\n            end > count ? lineLength - pad : end - start\n          );\n          res.push(`   |  ` + \" \".repeat(pad) + \"^\".repeat(length));\n        } else if (j > i) {\n          if (end > count) {\n            const length = Math.max(Math.min(end - count, lineLength), 1);\n            res.push(`   |  ` + \"^\".repeat(length));\n          }\n          count += lineLength + newLineSeqLength;\n        }\n      }\n      break;\n    }\n  }\n  return res.join(\"\\n\");\n}\n\nfunction normalizeStyle(value) {\n  if (isArray(value)) {\n    const res = {};\n    for (let i = 0; i < value.length; i++) {\n      const item = value[i];\n      const normalized = isString(item) ? parseStringStyle(item) : normalizeStyle(item);\n      if (normalized) {\n        for (const key in normalized) {\n          res[key] = normalized[key];\n        }\n      }\n    }\n    return res;\n  } else if (isString(value) || isObject(value)) {\n    return value;\n  }\n}\nconst listDelimiterRE = /;(?![^(]*\\))/g;\nconst propertyDelimiterRE = /:([^]+)/;\nconst styleCommentRE = /\\/\\*[^]*?\\*\\//g;\nfunction parseStringStyle(cssText) {\n  const ret = {};\n  cssText.replace(styleCommentRE, \"\").split(listDelimiterRE).forEach((item) => {\n    if (item) {\n      const tmp = item.split(propertyDelimiterRE);\n      tmp.length > 1 && (ret[tmp[0].trim()] = tmp[1].trim());\n    }\n  });\n  return ret;\n}\nfunction stringifyStyle(styles) {\n  let ret = \"\";\n  if (!styles || isString(styles)) {\n    return ret;\n  }\n  for (const key in styles) {\n    const value = styles[key];\n    if (isString(value) || typeof value === \"number\") {\n      const normalizedKey = key.startsWith(`--`) ? key : hyphenate(key);\n      ret += `${normalizedKey}:${value};`;\n    }\n  }\n  return ret;\n}\nfunction normalizeClass(value) {\n  let res = \"\";\n  if (isString(value)) {\n    res = value;\n  } else if (isArray(value)) {\n    for (let i = 0; i < value.length; i++) {\n      const normalized = normalizeClass(value[i]);\n      if (normalized) {\n        res += normalized + \" \";\n      }\n    }\n  } else if (isObject(value)) {\n    for (const name in value) {\n      if (value[name]) {\n        res += name + \" \";\n      }\n    }\n  }\n  return res.trim();\n}\nfunction normalizeProps(props) {\n  if (!props) return null;\n  let { class: klass, style } = props;\n  if (klass && !isString(klass)) {\n    props.class = normalizeClass(klass);\n  }\n  if (style) {\n    props.style = normalizeStyle(style);\n  }\n  return props;\n}\n\nconst HTML_TAGS = \"html,body,base,head,link,meta,style,title,address,article,aside,footer,header,hgroup,h1,h2,h3,h4,h5,h6,nav,section,div,dd,dl,dt,figcaption,figure,picture,hr,img,li,main,ol,p,pre,ul,a,b,abbr,bdi,bdo,br,cite,code,data,dfn,em,i,kbd,mark,q,rp,rt,ruby,s,samp,small,span,strong,sub,sup,time,u,var,wbr,area,audio,map,track,video,embed,object,param,source,canvas,script,noscript,del,ins,caption,col,colgroup,table,thead,tbody,td,th,tr,button,datalist,fieldset,form,input,label,legend,meter,optgroup,option,output,progress,select,textarea,details,dialog,menu,summary,template,blockquote,iframe,tfoot\";\nconst SVG_TAGS = \"svg,animate,animateMotion,animateTransform,circle,clipPath,color-profile,defs,desc,discard,ellipse,feBlend,feColorMatrix,feComponentTransfer,feComposite,feConvolveMatrix,feDiffuseLighting,feDisplacementMap,feDistantLight,feDropShadow,feFlood,feFuncA,feFuncB,feFuncG,feFuncR,feGaussianBlur,feImage,feMerge,feMergeNode,feMorphology,feOffset,fePointLight,feSpecularLighting,feSpotLight,feTile,feTurbulence,filter,foreignObject,g,hatch,hatchpath,image,line,linearGradient,marker,mask,mesh,meshgradient,meshpatch,meshrow,metadata,mpath,path,pattern,polygon,polyline,radialGradient,rect,set,solidcolor,stop,switch,symbol,text,textPath,title,tspan,unknown,use,view\";\nconst MATH_TAGS = \"annotation,annotation-xml,maction,maligngroup,malignmark,math,menclose,merror,mfenced,mfrac,mfraction,mglyph,mi,mlabeledtr,mlongdiv,mmultiscripts,mn,mo,mover,mpadded,mphantom,mprescripts,mroot,mrow,ms,mscarries,mscarry,msgroup,msline,mspace,msqrt,msrow,mstack,mstyle,msub,msubsup,msup,mtable,mtd,mtext,mtr,munder,munderover,none,semantics\";\nconst VOID_TAGS = \"area,base,br,col,embed,hr,img,input,link,meta,param,source,track,wbr\";\nconst isHTMLTag = /* @__PURE__ */ makeMap(HTML_TAGS);\nconst isSVGTag = /* @__PURE__ */ makeMap(SVG_TAGS);\nconst isMathMLTag = /* @__PURE__ */ makeMap(MATH_TAGS);\nconst isVoidTag = /* @__PURE__ */ makeMap(VOID_TAGS);\n\nconst specialBooleanAttrs = `itemscope,allowfullscreen,formnovalidate,ismap,nomodule,novalidate,readonly`;\nconst isSpecialBooleanAttr = /* @__PURE__ */ makeMap(specialBooleanAttrs);\nconst isBooleanAttr = /* @__PURE__ */ makeMap(\n  specialBooleanAttrs + `,async,autofocus,autoplay,controls,default,defer,disabled,hidden,inert,loop,open,required,reversed,scoped,seamless,checked,muted,multiple,selected`\n);\nfunction includeBooleanAttr(value) {\n  return !!value || value === \"\";\n}\nconst unsafeAttrCharRE = /[>/=\"'\\u0009\\u000a\\u000c\\u0020]/;\nconst attrValidationCache = {};\nfunction isSSRSafeAttrName(name) {\n  if (attrValidationCache.hasOwnProperty(name)) {\n    return attrValidationCache[name];\n  }\n  const isUnsafe = unsafeAttrCharRE.test(name);\n  if (isUnsafe) {\n    console.error(`unsafe attribute name: ${name}`);\n  }\n  return attrValidationCache[name] = !isUnsafe;\n}\nconst propsToAttrMap = {\n  acceptCharset: \"accept-charset\",\n  className: \"class\",\n  htmlFor: \"for\",\n  httpEquiv: \"http-equiv\"\n};\nconst isKnownHtmlAttr = /* @__PURE__ */ makeMap(\n  `accept,accept-charset,accesskey,action,align,allow,alt,async,autocapitalize,autocomplete,autofocus,autoplay,background,bgcolor,border,buffered,capture,challenge,charset,checked,cite,class,code,codebase,color,cols,colspan,content,contenteditable,contextmenu,controls,coords,crossorigin,csp,data,datetime,decoding,default,defer,dir,dirname,disabled,download,draggable,dropzone,enctype,enterkeyhint,for,form,formaction,formenctype,formmethod,formnovalidate,formtarget,headers,height,hidden,high,href,hreflang,http-equiv,icon,id,importance,inert,integrity,ismap,itemprop,keytype,kind,label,lang,language,loading,list,loop,low,manifest,max,maxlength,minlength,media,min,multiple,muted,name,novalidate,open,optimum,pattern,ping,placeholder,poster,preload,radiogroup,readonly,referrerpolicy,rel,required,reversed,rows,rowspan,sandbox,scope,scoped,selected,shape,size,sizes,slot,span,spellcheck,src,srcdoc,srclang,srcset,start,step,style,summary,tabindex,target,title,translate,type,usemap,value,width,wrap`\n);\nconst isKnownSvgAttr = /* @__PURE__ */ makeMap(\n  `xmlns,accent-height,accumulate,additive,alignment-baseline,alphabetic,amplitude,arabic-form,ascent,attributeName,attributeType,azimuth,baseFrequency,baseline-shift,baseProfile,bbox,begin,bias,by,calcMode,cap-height,class,clip,clipPathUnits,clip-path,clip-rule,color,color-interpolation,color-interpolation-filters,color-profile,color-rendering,contentScriptType,contentStyleType,crossorigin,cursor,cx,cy,d,decelerate,descent,diffuseConstant,direction,display,divisor,dominant-baseline,dur,dx,dy,edgeMode,elevation,enable-background,end,exponent,fill,fill-opacity,fill-rule,filter,filterRes,filterUnits,flood-color,flood-opacity,font-family,font-size,font-size-adjust,font-stretch,font-style,font-variant,font-weight,format,from,fr,fx,fy,g1,g2,glyph-name,glyph-orientation-horizontal,glyph-orientation-vertical,glyphRef,gradientTransform,gradientUnits,hanging,height,href,hreflang,horiz-adv-x,horiz-origin-x,id,ideographic,image-rendering,in,in2,intercept,k,k1,k2,k3,k4,kernelMatrix,kernelUnitLength,kerning,keyPoints,keySplines,keyTimes,lang,lengthAdjust,letter-spacing,lighting-color,limitingConeAngle,local,marker-end,marker-mid,marker-start,markerHeight,markerUnits,markerWidth,mask,maskContentUnits,maskUnits,mathematical,max,media,method,min,mode,name,numOctaves,offset,opacity,operator,order,orient,orientation,origin,overflow,overline-position,overline-thickness,panose-1,paint-order,path,pathLength,patternContentUnits,patternTransform,patternUnits,ping,pointer-events,points,pointsAtX,pointsAtY,pointsAtZ,preserveAlpha,preserveAspectRatio,primitiveUnits,r,radius,referrerPolicy,refX,refY,rel,rendering-intent,repeatCount,repeatDur,requiredExtensions,requiredFeatures,restart,result,rotate,rx,ry,scale,seed,shape-rendering,slope,spacing,specularConstant,specularExponent,speed,spreadMethod,startOffset,stdDeviation,stemh,stemv,stitchTiles,stop-color,stop-opacity,strikethrough-position,strikethrough-thickness,string,stroke,stroke-dasharray,stroke-dashoffset,stroke-linecap,stroke-linejoin,stroke-miterlimit,stroke-opacity,stroke-width,style,surfaceScale,systemLanguage,tabindex,tableValues,target,targetX,targetY,text-anchor,text-decoration,text-rendering,textLength,to,transform,transform-origin,type,u1,u2,underline-position,underline-thickness,unicode,unicode-bidi,unicode-range,units-per-em,v-alphabetic,v-hanging,v-ideographic,v-mathematical,values,vector-effect,version,vert-adv-y,vert-origin-x,vert-origin-y,viewBox,viewTarget,visibility,width,widths,word-spacing,writing-mode,x,x-height,x1,x2,xChannelSelector,xlink:actuate,xlink:arcrole,xlink:href,xlink:role,xlink:show,xlink:title,xlink:type,xmlns:xlink,xml:base,xml:lang,xml:space,y,y1,y2,yChannelSelector,z,zoomAndPan`\n);\nfunction isRenderableAttrValue(value) {\n  if (value == null) {\n    return false;\n  }\n  const type = typeof value;\n  return type === \"string\" || type === \"number\" || type === \"boolean\";\n}\n\nconst escapeRE = /[\"'&<>]/;\nfunction escapeHtml(string) {\n  const str = \"\" + string;\n  const match = escapeRE.exec(str);\n  if (!match) {\n    return str;\n  }\n  let html = \"\";\n  let escaped;\n  let index;\n  let lastIndex = 0;\n  for (index = match.index; index < str.length; index++) {\n    switch (str.charCodeAt(index)) {\n      case 34:\n        escaped = \"&quot;\";\n        break;\n      case 38:\n        escaped = \"&amp;\";\n        break;\n      case 39:\n        escaped = \"&#39;\";\n        break;\n      case 60:\n        escaped = \"&lt;\";\n        break;\n      case 62:\n        escaped = \"&gt;\";\n        break;\n      default:\n        continue;\n    }\n    if (lastIndex !== index) {\n      html += str.slice(lastIndex, index);\n    }\n    lastIndex = index + 1;\n    html += escaped;\n  }\n  return lastIndex !== index ? html + str.slice(lastIndex, index) : html;\n}\nconst commentStripRE = /^-?>|<!--|-->|--!>|<!-$/g;\nfunction escapeHtmlComment(src) {\n  return src.replace(commentStripRE, \"\");\n}\n\nfunction looseCompareArrays(a, b) {\n  if (a.length !== b.length) return false;\n  let equal = true;\n  for (let i = 0; equal && i < a.length; i++) {\n    equal = looseEqual(a[i], b[i]);\n  }\n  return equal;\n}\nfunction looseEqual(a, b) {\n  if (a === b) return true;\n  let aValidType = isDate(a);\n  let bValidType = isDate(b);\n  if (aValidType || bValidType) {\n    return aValidType && bValidType ? a.getTime() === b.getTime() : false;\n  }\n  aValidType = isSymbol(a);\n  bValidType = isSymbol(b);\n  if (aValidType || bValidType) {\n    return a === b;\n  }\n  aValidType = isArray(a);\n  bValidType = isArray(b);\n  if (aValidType || bValidType) {\n    return aValidType && bValidType ? looseCompareArrays(a, b) : false;\n  }\n  aValidType = isObject(a);\n  bValidType = isObject(b);\n  if (aValidType || bValidType) {\n    if (!aValidType || !bValidType) {\n      return false;\n    }\n    const aKeysCount = Object.keys(a).length;\n    const bKeysCount = Object.keys(b).length;\n    if (aKeysCount !== bKeysCount) {\n      return false;\n    }\n    for (const key in a) {\n      const aHasKey = a.hasOwnProperty(key);\n      const bHasKey = b.hasOwnProperty(key);\n      if (aHasKey && !bHasKey || !aHasKey && bHasKey || !looseEqual(a[key], b[key])) {\n        return false;\n      }\n    }\n  }\n  return String(a) === String(b);\n}\nfunction looseIndexOf(arr, val) {\n  return arr.findIndex((item) => looseEqual(item, val));\n}\n\nconst isRef = (val) => {\n  return !!(val && val.__v_isRef === true);\n};\nconst toDisplayString = (val) => {\n  return isString(val) ? val : val == null ? \"\" : isArray(val) || isObject(val) && (val.toString === objectToString || !isFunction(val.toString)) ? isRef(val) ? toDisplayString(val.value) : JSON.stringify(val, replacer, 2) : String(val);\n};\nconst replacer = (_key, val) => {\n  if (isRef(val)) {\n    return replacer(_key, val.value);\n  } else if (isMap(val)) {\n    return {\n      [`Map(${val.size})`]: [...val.entries()].reduce(\n        (entries, [key, val2], i) => {\n          entries[stringifySymbol(key, i) + \" =>\"] = val2;\n          return entries;\n        },\n        {}\n      )\n    };\n  } else if (isSet(val)) {\n    return {\n      [`Set(${val.size})`]: [...val.values()].map((v) => stringifySymbol(v))\n    };\n  } else if (isSymbol(val)) {\n    return stringifySymbol(val);\n  } else if (isObject(val) && !isArray(val) && !isPlainObject(val)) {\n    return String(val);\n  }\n  return val;\n};\nconst stringifySymbol = (v, i = \"\") => {\n  var _a;\n  return (\n    // Symbol.description in es2019+ so we need to cast here to pass\n    // the lib: es2016 check\n    isSymbol(v) ? `Symbol(${(_a = v.description) != null ? _a : i})` : v\n  );\n};\n\nexport { EMPTY_ARR, EMPTY_OBJ, NO, NOOP, PatchFlagNames, PatchFlags, ShapeFlags, SlotFlags, camelize, capitalize, def, escapeHtml, escapeHtmlComment, extend, genPropsAccessExp, generateCodeFrame, getGlobalThis, hasChanged, hasOwn, hyphenate, includeBooleanAttr, invokeArrayFns, isArray, isBooleanAttr, isBuiltInDirective, isDate, isFunction, isGloballyAllowed, isGloballyWhitelisted, isHTMLTag, isIntegerKey, isKnownHtmlAttr, isKnownSvgAttr, isMap, isMathMLTag, isModelListener, isObject, isOn, isPlainObject, isPromise, isRegExp, isRenderableAttrValue, isReservedProp, isSSRSafeAttrName, isSVGTag, isSet, isSpecialBooleanAttr, isString, isSymbol, isVoidTag, looseEqual, looseIndexOf, looseToNumber, makeMap, normalizeClass, normalizeProps, normalizeStyle, objectToString, parseStringStyle, propsToAttrMap, remove, slotFlagsText, stringifyStyle, toDisplayString, toHandlerKey, toNumber, toRawType, toTypeString };\n","/**\n* @vue/reactivity v3.4.31\n* (c) 2018-present Yuxi (Evan) You and Vue contributors\n* @license MIT\n**/\nimport { NOOP, extend, isArray, isSymbol, isMap, isIntegerKey, hasOwn, hasChanged, isObject, makeMap, capitalize, toRawType, def, isFunction } from '@vue/shared';\n\nfunction warn(msg, ...args) {\n  console.warn(`[Vue warn] ${msg}`, ...args);\n}\n\nlet activeEffectScope;\nclass EffectScope {\n  constructor(detached = false) {\n    this.detached = detached;\n    /**\n     * @internal\n     */\n    this._active = true;\n    /**\n     * @internal\n     */\n    this.effects = [];\n    /**\n     * @internal\n     */\n    this.cleanups = [];\n    this.parent = activeEffectScope;\n    if (!detached && activeEffectScope) {\n      this.index = (activeEffectScope.scopes || (activeEffectScope.scopes = [])).push(\n        this\n      ) - 1;\n    }\n  }\n  get active() {\n    return this._active;\n  }\n  run(fn) {\n    if (this._active) {\n      const currentEffectScope = activeEffectScope;\n      try {\n        activeEffectScope = this;\n        return fn();\n      } finally {\n        activeEffectScope = currentEffectScope;\n      }\n    } else if (!!(process.env.NODE_ENV !== \"production\")) {\n      warn(`cannot run an inactive effect scope.`);\n    }\n  }\n  /**\n   * This should only be called on non-detached scopes\n   * @internal\n   */\n  on() {\n    activeEffectScope = this;\n  }\n  /**\n   * This should only be called on non-detached scopes\n   * @internal\n   */\n  off() {\n    activeEffectScope = this.parent;\n  }\n  stop(fromParent) {\n    if (this._active) {\n      let i, l;\n      for (i = 0, l = this.effects.length; i < l; i++) {\n        this.effects[i].stop();\n      }\n      for (i = 0, l = this.cleanups.length; i < l; i++) {\n        this.cleanups[i]();\n      }\n      if (this.scopes) {\n        for (i = 0, l = this.scopes.length; i < l; i++) {\n          this.scopes[i].stop(true);\n        }\n      }\n      if (!this.detached && this.parent && !fromParent) {\n        const last = this.parent.scopes.pop();\n        if (last && last !== this) {\n          this.parent.scopes[this.index] = last;\n          last.index = this.index;\n        }\n      }\n      this.parent = void 0;\n      this._active = false;\n    }\n  }\n}\nfunction effectScope(detached) {\n  return new EffectScope(detached);\n}\nfunction recordEffectScope(effect, scope = activeEffectScope) {\n  if (scope && scope.active) {\n    scope.effects.push(effect);\n  }\n}\nfunction getCurrentScope() {\n  return activeEffectScope;\n}\nfunction onScopeDispose(fn) {\n  if (activeEffectScope) {\n    activeEffectScope.cleanups.push(fn);\n  } else if (!!(process.env.NODE_ENV !== \"production\")) {\n    warn(\n      `onScopeDispose() is called when there is no active effect scope to be associated with.`\n    );\n  }\n}\n\nlet activeEffect;\nclass ReactiveEffect {\n  constructor(fn, trigger, scheduler, scope) {\n    this.fn = fn;\n    this.trigger = trigger;\n    this.scheduler = scheduler;\n    this.active = true;\n    this.deps = [];\n    /**\n     * @internal\n     */\n    this._dirtyLevel = 4;\n    /**\n     * @internal\n     */\n    this._trackId = 0;\n    /**\n     * @internal\n     */\n    this._runnings = 0;\n    /**\n     * @internal\n     */\n    this._shouldSchedule = false;\n    /**\n     * @internal\n     */\n    this._depsLength = 0;\n    recordEffectScope(this, scope);\n  }\n  get dirty() {\n    if (this._dirtyLevel === 2 || this._dirtyLevel === 3) {\n      this._dirtyLevel = 1;\n      pauseTracking();\n      for (let i = 0; i < this._depsLength; i++) {\n        const dep = this.deps[i];\n        if (dep.computed) {\n          triggerComputed(dep.computed);\n          if (this._dirtyLevel >= 4) {\n            break;\n          }\n        }\n      }\n      if (this._dirtyLevel === 1) {\n        this._dirtyLevel = 0;\n      }\n      resetTracking();\n    }\n    return this._dirtyLevel >= 4;\n  }\n  set dirty(v) {\n    this._dirtyLevel = v ? 4 : 0;\n  }\n  run() {\n    this._dirtyLevel = 0;\n    if (!this.active) {\n      return this.fn();\n    }\n    let lastShouldTrack = shouldTrack;\n    let lastEffect = activeEffect;\n    try {\n      shouldTrack = true;\n      activeEffect = this;\n      this._runnings++;\n      preCleanupEffect(this);\n      return this.fn();\n    } finally {\n      postCleanupEffect(this);\n      this._runnings--;\n      activeEffect = lastEffect;\n      shouldTrack = lastShouldTrack;\n    }\n  }\n  stop() {\n    if (this.active) {\n      preCleanupEffect(this);\n      postCleanupEffect(this);\n      this.onStop && this.onStop();\n      this.active = false;\n    }\n  }\n}\nfunction triggerComputed(computed) {\n  return computed.value;\n}\nfunction preCleanupEffect(effect2) {\n  effect2._trackId++;\n  effect2._depsLength = 0;\n}\nfunction postCleanupEffect(effect2) {\n  if (effect2.deps.length > effect2._depsLength) {\n    for (let i = effect2._depsLength; i < effect2.deps.length; i++) {\n      cleanupDepEffect(effect2.deps[i], effect2);\n    }\n    effect2.deps.length = effect2._depsLength;\n  }\n}\nfunction cleanupDepEffect(dep, effect2) {\n  const trackId = dep.get(effect2);\n  if (trackId !== void 0 && effect2._trackId !== trackId) {\n    dep.delete(effect2);\n    if (dep.size === 0) {\n      dep.cleanup();\n    }\n  }\n}\nfunction effect(fn, options) {\n  if (fn.effect instanceof ReactiveEffect) {\n    fn = fn.effect.fn;\n  }\n  const _effect = new ReactiveEffect(fn, NOOP, () => {\n    if (_effect.dirty) {\n      _effect.run();\n    }\n  });\n  if (options) {\n    extend(_effect, options);\n    if (options.scope) recordEffectScope(_effect, options.scope);\n  }\n  if (!options || !options.lazy) {\n    _effect.run();\n  }\n  const runner = _effect.run.bind(_effect);\n  runner.effect = _effect;\n  return runner;\n}\nfunction stop(runner) {\n  runner.effect.stop();\n}\nlet shouldTrack = true;\nlet pauseScheduleStack = 0;\nconst trackStack = [];\nfunction pauseTracking() {\n  trackStack.push(shouldTrack);\n  shouldTrack = false;\n}\nfunction enableTracking() {\n  trackStack.push(shouldTrack);\n  shouldTrack = true;\n}\nfunction resetTracking() {\n  const last = trackStack.pop();\n  shouldTrack = last === void 0 ? true : last;\n}\nfunction pauseScheduling() {\n  pauseScheduleStack++;\n}\nfunction resetScheduling() {\n  pauseScheduleStack--;\n  while (!pauseScheduleStack && queueEffectSchedulers.length) {\n    queueEffectSchedulers.shift()();\n  }\n}\nfunction trackEffect(effect2, dep, debuggerEventExtraInfo) {\n  var _a;\n  if (dep.get(effect2) !== effect2._trackId) {\n    dep.set(effect2, effect2._trackId);\n    const oldDep = effect2.deps[effect2._depsLength];\n    if (oldDep !== dep) {\n      if (oldDep) {\n        cleanupDepEffect(oldDep, effect2);\n      }\n      effect2.deps[effect2._depsLength++] = dep;\n    } else {\n      effect2._depsLength++;\n    }\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      (_a = effect2.onTrack) == null ? void 0 : _a.call(effect2, extend({ effect: effect2 }, debuggerEventExtraInfo));\n    }\n  }\n}\nconst queueEffectSchedulers = [];\nfunction triggerEffects(dep, dirtyLevel, debuggerEventExtraInfo) {\n  var _a;\n  pauseScheduling();\n  for (const effect2 of dep.keys()) {\n    let tracking;\n    if (effect2._dirtyLevel < dirtyLevel && (tracking != null ? tracking : tracking = dep.get(effect2) === effect2._trackId)) {\n      effect2._shouldSchedule || (effect2._shouldSchedule = effect2._dirtyLevel === 0);\n      effect2._dirtyLevel = dirtyLevel;\n    }\n    if (effect2._shouldSchedule && (tracking != null ? tracking : tracking = dep.get(effect2) === effect2._trackId)) {\n      if (!!(process.env.NODE_ENV !== \"production\")) {\n        (_a = effect2.onTrigger) == null ? void 0 : _a.call(effect2, extend({ effect: effect2 }, debuggerEventExtraInfo));\n      }\n      effect2.trigger();\n      if ((!effect2._runnings || effect2.allowRecurse) && effect2._dirtyLevel !== 2) {\n        effect2._shouldSchedule = false;\n        if (effect2.scheduler) {\n          queueEffectSchedulers.push(effect2.scheduler);\n        }\n      }\n    }\n  }\n  resetScheduling();\n}\n\nconst createDep = (cleanup, computed) => {\n  const dep = /* @__PURE__ */ new Map();\n  dep.cleanup = cleanup;\n  dep.computed = computed;\n  return dep;\n};\n\nconst targetMap = /* @__PURE__ */ new WeakMap();\nconst ITERATE_KEY = Symbol(!!(process.env.NODE_ENV !== \"production\") ? \"iterate\" : \"\");\nconst MAP_KEY_ITERATE_KEY = Symbol(!!(process.env.NODE_ENV !== \"production\") ? \"Map key iterate\" : \"\");\nfunction track(target, type, key) {\n  if (shouldTrack && activeEffect) {\n    let depsMap = targetMap.get(target);\n    if (!depsMap) {\n      targetMap.set(target, depsMap = /* @__PURE__ */ new Map());\n    }\n    let dep = depsMap.get(key);\n    if (!dep) {\n      depsMap.set(key, dep = createDep(() => depsMap.delete(key)));\n    }\n    trackEffect(\n      activeEffect,\n      dep,\n      !!(process.env.NODE_ENV !== \"production\") ? {\n        target,\n        type,\n        key\n      } : void 0\n    );\n  }\n}\nfunction trigger(target, type, key, newValue, oldValue, oldTarget) {\n  const depsMap = targetMap.get(target);\n  if (!depsMap) {\n    return;\n  }\n  let deps = [];\n  if (type === \"clear\") {\n    deps = [...depsMap.values()];\n  } else if (key === \"length\" && isArray(target)) {\n    const newLength = Number(newValue);\n    depsMap.forEach((dep, key2) => {\n      if (key2 === \"length\" || !isSymbol(key2) && key2 >= newLength) {\n        deps.push(dep);\n      }\n    });\n  } else {\n    if (key !== void 0) {\n      deps.push(depsMap.get(key));\n    }\n    switch (type) {\n      case \"add\":\n        if (!isArray(target)) {\n          deps.push(depsMap.get(ITERATE_KEY));\n          if (isMap(target)) {\n            deps.push(depsMap.get(MAP_KEY_ITERATE_KEY));\n          }\n        } else if (isIntegerKey(key)) {\n          deps.push(depsMap.get(\"length\"));\n        }\n        break;\n      case \"delete\":\n        if (!isArray(target)) {\n          deps.push(depsMap.get(ITERATE_KEY));\n          if (isMap(target)) {\n            deps.push(depsMap.get(MAP_KEY_ITERATE_KEY));\n          }\n        }\n        break;\n      case \"set\":\n        if (isMap(target)) {\n          deps.push(depsMap.get(ITERATE_KEY));\n        }\n        break;\n    }\n  }\n  pauseScheduling();\n  for (const dep of deps) {\n    if (dep) {\n      triggerEffects(\n        dep,\n        4,\n        !!(process.env.NODE_ENV !== \"production\") ? {\n          target,\n          type,\n          key,\n          newValue,\n          oldValue,\n          oldTarget\n        } : void 0\n      );\n    }\n  }\n  resetScheduling();\n}\nfunction getDepFromReactive(object, key) {\n  const depsMap = targetMap.get(object);\n  return depsMap && depsMap.get(key);\n}\n\nconst isNonTrackableKeys = /* @__PURE__ */ makeMap(`__proto__,__v_isRef,__isVue`);\nconst builtInSymbols = new Set(\n  /* @__PURE__ */ Object.getOwnPropertyNames(Symbol).filter((key) => key !== \"arguments\" && key !== \"caller\").map((key) => Symbol[key]).filter(isSymbol)\n);\nconst arrayInstrumentations = /* @__PURE__ */ createArrayInstrumentations();\nfunction createArrayInstrumentations() {\n  const instrumentations = {};\n  [\"includes\", \"indexOf\", \"lastIndexOf\"].forEach((key) => {\n    instrumentations[key] = function(...args) {\n      const arr = toRaw(this);\n      for (let i = 0, l = this.length; i < l; i++) {\n        track(arr, \"get\", i + \"\");\n      }\n      const res = arr[key](...args);\n      if (res === -1 || res === false) {\n        return arr[key](...args.map(toRaw));\n      } else {\n        return res;\n      }\n    };\n  });\n  [\"push\", \"pop\", \"shift\", \"unshift\", \"splice\"].forEach((key) => {\n    instrumentations[key] = function(...args) {\n      pauseTracking();\n      pauseScheduling();\n      const res = toRaw(this)[key].apply(this, args);\n      resetScheduling();\n      resetTracking();\n      return res;\n    };\n  });\n  return instrumentations;\n}\nfunction hasOwnProperty(key) {\n  if (!isSymbol(key)) key = String(key);\n  const obj = toRaw(this);\n  track(obj, \"has\", key);\n  return obj.hasOwnProperty(key);\n}\nclass BaseReactiveHandler {\n  constructor(_isReadonly = false, _isShallow = false) {\n    this._isReadonly = _isReadonly;\n    this._isShallow = _isShallow;\n  }\n  get(target, key, receiver) {\n    const isReadonly2 = this._isReadonly, isShallow2 = this._isShallow;\n    if (key === \"__v_isReactive\") {\n      return !isReadonly2;\n    } else if (key === \"__v_isReadonly\") {\n      return isReadonly2;\n    } else if (key === \"__v_isShallow\") {\n      return isShallow2;\n    } else if (key === \"__v_raw\") {\n      if (receiver === (isReadonly2 ? isShallow2 ? shallowReadonlyMap : readonlyMap : isShallow2 ? shallowReactiveMap : reactiveMap).get(target) || // receiver is not the reactive proxy, but has the same prototype\n      // this means the reciever is a user proxy of the reactive proxy\n      Object.getPrototypeOf(target) === Object.getPrototypeOf(receiver)) {\n        return target;\n      }\n      return;\n    }\n    const targetIsArray = isArray(target);\n    if (!isReadonly2) {\n      if (targetIsArray && hasOwn(arrayInstrumentations, key)) {\n        return Reflect.get(arrayInstrumentations, key, receiver);\n      }\n      if (key === \"hasOwnProperty\") {\n        return hasOwnProperty;\n      }\n    }\n    const res = Reflect.get(target, key, receiver);\n    if (isSymbol(key) ? builtInSymbols.has(key) : isNonTrackableKeys(key)) {\n      return res;\n    }\n    if (!isReadonly2) {\n      track(target, \"get\", key);\n    }\n    if (isShallow2) {\n      return res;\n    }\n    if (isRef(res)) {\n      return targetIsArray && isIntegerKey(key) ? res : res.value;\n    }\n    if (isObject(res)) {\n      return isReadonly2 ? readonly(res) : reactive(res);\n    }\n    return res;\n  }\n}\nclass MutableReactiveHandler extends BaseReactiveHandler {\n  constructor(isShallow2 = false) {\n    super(false, isShallow2);\n  }\n  set(target, key, value, receiver) {\n    let oldValue = target[key];\n    if (!this._isShallow) {\n      const isOldValueReadonly = isReadonly(oldValue);\n      if (!isShallow(value) && !isReadonly(value)) {\n        oldValue = toRaw(oldValue);\n        value = toRaw(value);\n      }\n      if (!isArray(target) && isRef(oldValue) && !isRef(value)) {\n        if (isOldValueReadonly) {\n          return false;\n        } else {\n          oldValue.value = value;\n          return true;\n        }\n      }\n    }\n    const hadKey = isArray(target) && isIntegerKey(key) ? Number(key) < target.length : hasOwn(target, key);\n    const result = Reflect.set(target, key, value, receiver);\n    if (target === toRaw(receiver)) {\n      if (!hadKey) {\n        trigger(target, \"add\", key, value);\n      } else if (hasChanged(value, oldValue)) {\n        trigger(target, \"set\", key, value, oldValue);\n      }\n    }\n    return result;\n  }\n  deleteProperty(target, key) {\n    const hadKey = hasOwn(target, key);\n    const oldValue = target[key];\n    const result = Reflect.deleteProperty(target, key);\n    if (result && hadKey) {\n      trigger(target, \"delete\", key, void 0, oldValue);\n    }\n    return result;\n  }\n  has(target, key) {\n    const result = Reflect.has(target, key);\n    if (!isSymbol(key) || !builtInSymbols.has(key)) {\n      track(target, \"has\", key);\n    }\n    return result;\n  }\n  ownKeys(target) {\n    track(\n      target,\n      \"iterate\",\n      isArray(target) ? \"length\" : ITERATE_KEY\n    );\n    return Reflect.ownKeys(target);\n  }\n}\nclass ReadonlyReactiveHandler extends BaseReactiveHandler {\n  constructor(isShallow2 = false) {\n    super(true, isShallow2);\n  }\n  set(target, key) {\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      warn(\n        `Set operation on key \"${String(key)}\" failed: target is readonly.`,\n        target\n      );\n    }\n    return true;\n  }\n  deleteProperty(target, key) {\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      warn(\n        `Delete operation on key \"${String(key)}\" failed: target is readonly.`,\n        target\n      );\n    }\n    return true;\n  }\n}\nconst mutableHandlers = /* @__PURE__ */ new MutableReactiveHandler();\nconst readonlyHandlers = /* @__PURE__ */ new ReadonlyReactiveHandler();\nconst shallowReactiveHandlers = /* @__PURE__ */ new MutableReactiveHandler(\n  true\n);\nconst shallowReadonlyHandlers = /* @__PURE__ */ new ReadonlyReactiveHandler(true);\n\nconst toShallow = (value) => value;\nconst getProto = (v) => Reflect.getPrototypeOf(v);\nfunction get(target, key, isReadonly = false, isShallow = false) {\n  target = target[\"__v_raw\"];\n  const rawTarget = toRaw(target);\n  const rawKey = toRaw(key);\n  if (!isReadonly) {\n    if (hasChanged(key, rawKey)) {\n      track(rawTarget, \"get\", key);\n    }\n    track(rawTarget, \"get\", rawKey);\n  }\n  const { has: has2 } = getProto(rawTarget);\n  const wrap = isShallow ? toShallow : isReadonly ? toReadonly : toReactive;\n  if (has2.call(rawTarget, key)) {\n    return wrap(target.get(key));\n  } else if (has2.call(rawTarget, rawKey)) {\n    return wrap(target.get(rawKey));\n  } else if (target !== rawTarget) {\n    target.get(key);\n  }\n}\nfunction has(key, isReadonly = false) {\n  const target = this[\"__v_raw\"];\n  const rawTarget = toRaw(target);\n  const rawKey = toRaw(key);\n  if (!isReadonly) {\n    if (hasChanged(key, rawKey)) {\n      track(rawTarget, \"has\", key);\n    }\n    track(rawTarget, \"has\", rawKey);\n  }\n  return key === rawKey ? target.has(key) : target.has(key) || target.has(rawKey);\n}\nfunction size(target, isReadonly = false) {\n  target = target[\"__v_raw\"];\n  !isReadonly && track(toRaw(target), \"iterate\", ITERATE_KEY);\n  return Reflect.get(target, \"size\", target);\n}\nfunction add(value) {\n  value = toRaw(value);\n  const target = toRaw(this);\n  const proto = getProto(target);\n  const hadKey = proto.has.call(target, value);\n  if (!hadKey) {\n    target.add(value);\n    trigger(target, \"add\", value, value);\n  }\n  return this;\n}\nfunction set(key, value) {\n  value = toRaw(value);\n  const target = toRaw(this);\n  const { has: has2, get: get2 } = getProto(target);\n  let hadKey = has2.call(target, key);\n  if (!hadKey) {\n    key = toRaw(key);\n    hadKey = has2.call(target, key);\n  } else if (!!(process.env.NODE_ENV !== \"production\")) {\n    checkIdentityKeys(target, has2, key);\n  }\n  const oldValue = get2.call(target, key);\n  target.set(key, value);\n  if (!hadKey) {\n    trigger(target, \"add\", key, value);\n  } else if (hasChanged(value, oldValue)) {\n    trigger(target, \"set\", key, value, oldValue);\n  }\n  return this;\n}\nfunction deleteEntry(key) {\n  const target = toRaw(this);\n  const { has: has2, get: get2 } = getProto(target);\n  let hadKey = has2.call(target, key);\n  if (!hadKey) {\n    key = toRaw(key);\n    hadKey = has2.call(target, key);\n  } else if (!!(process.env.NODE_ENV !== \"production\")) {\n    checkIdentityKeys(target, has2, key);\n  }\n  const oldValue = get2 ? get2.call(target, key) : void 0;\n  const result = target.delete(key);\n  if (hadKey) {\n    trigger(target, \"delete\", key, void 0, oldValue);\n  }\n  return result;\n}\nfunction clear() {\n  const target = toRaw(this);\n  const hadItems = target.size !== 0;\n  const oldTarget = !!(process.env.NODE_ENV !== \"production\") ? isMap(target) ? new Map(target) : new Set(target) : void 0;\n  const result = target.clear();\n  if (hadItems) {\n    trigger(target, \"clear\", void 0, void 0, oldTarget);\n  }\n  return result;\n}\nfunction createForEach(isReadonly, isShallow) {\n  return function forEach(callback, thisArg) {\n    const observed = this;\n    const target = observed[\"__v_raw\"];\n    const rawTarget = toRaw(target);\n    const wrap = isShallow ? toShallow : isReadonly ? toReadonly : toReactive;\n    !isReadonly && track(rawTarget, \"iterate\", ITERATE_KEY);\n    return target.forEach((value, key) => {\n      return callback.call(thisArg, wrap(value), wrap(key), observed);\n    });\n  };\n}\nfunction createIterableMethod(method, isReadonly, isShallow) {\n  return function(...args) {\n    const target = this[\"__v_raw\"];\n    const rawTarget = toRaw(target);\n    const targetIsMap = isMap(rawTarget);\n    const isPair = method === \"entries\" || method === Symbol.iterator && targetIsMap;\n    const isKeyOnly = method === \"keys\" && targetIsMap;\n    const innerIterator = target[method](...args);\n    const wrap = isShallow ? toShallow : isReadonly ? toReadonly : toReactive;\n    !isReadonly && track(\n      rawTarget,\n      \"iterate\",\n      isKeyOnly ? MAP_KEY_ITERATE_KEY : ITERATE_KEY\n    );\n    return {\n      // iterator protocol\n      next() {\n        const { value, done } = innerIterator.next();\n        return done ? { value, done } : {\n          value: isPair ? [wrap(value[0]), wrap(value[1])] : wrap(value),\n          done\n        };\n      },\n      // iterable protocol\n      [Symbol.iterator]() {\n        return this;\n      }\n    };\n  };\n}\nfunction createReadonlyMethod(type) {\n  return function(...args) {\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      const key = args[0] ? `on key \"${args[0]}\" ` : ``;\n      warn(\n        `${capitalize(type)} operation ${key}failed: target is readonly.`,\n        toRaw(this)\n      );\n    }\n    return type === \"delete\" ? false : type === \"clear\" ? void 0 : this;\n  };\n}\nfunction createInstrumentations() {\n  const mutableInstrumentations2 = {\n    get(key) {\n      return get(this, key);\n    },\n    get size() {\n      return size(this);\n    },\n    has,\n    add,\n    set,\n    delete: deleteEntry,\n    clear,\n    forEach: createForEach(false, false)\n  };\n  const shallowInstrumentations2 = {\n    get(key) {\n      return get(this, key, false, true);\n    },\n    get size() {\n      return size(this);\n    },\n    has,\n    add,\n    set,\n    delete: deleteEntry,\n    clear,\n    forEach: createForEach(false, true)\n  };\n  const readonlyInstrumentations2 = {\n    get(key) {\n      return get(this, key, true);\n    },\n    get size() {\n      return size(this, true);\n    },\n    has(key) {\n      return has.call(this, key, true);\n    },\n    add: createReadonlyMethod(\"add\"),\n    set: createReadonlyMethod(\"set\"),\n    delete: createReadonlyMethod(\"delete\"),\n    clear: createReadonlyMethod(\"clear\"),\n    forEach: createForEach(true, false)\n  };\n  const shallowReadonlyInstrumentations2 = {\n    get(key) {\n      return get(this, key, true, true);\n    },\n    get size() {\n      return size(this, true);\n    },\n    has(key) {\n      return has.call(this, key, true);\n    },\n    add: createReadonlyMethod(\"add\"),\n    set: createReadonlyMethod(\"set\"),\n    delete: createReadonlyMethod(\"delete\"),\n    clear: createReadonlyMethod(\"clear\"),\n    forEach: createForEach(true, true)\n  };\n  const iteratorMethods = [\n    \"keys\",\n    \"values\",\n    \"entries\",\n    Symbol.iterator\n  ];\n  iteratorMethods.forEach((method) => {\n    mutableInstrumentations2[method] = createIterableMethod(method, false, false);\n    readonlyInstrumentations2[method] = createIterableMethod(method, true, false);\n    shallowInstrumentations2[method] = createIterableMethod(method, false, true);\n    shallowReadonlyInstrumentations2[method] = createIterableMethod(\n      method,\n      true,\n      true\n    );\n  });\n  return [\n    mutableInstrumentations2,\n    readonlyInstrumentations2,\n    shallowInstrumentations2,\n    shallowReadonlyInstrumentations2\n  ];\n}\nconst [\n  mutableInstrumentations,\n  readonlyInstrumentations,\n  shallowInstrumentations,\n  shallowReadonlyInstrumentations\n] = /* @__PURE__ */ createInstrumentations();\nfunction createInstrumentationGetter(isReadonly, shallow) {\n  const instrumentations = shallow ? isReadonly ? shallowReadonlyInstrumentations : shallowInstrumentations : isReadonly ? readonlyInstrumentations : mutableInstrumentations;\n  return (target, key, receiver) => {\n    if (key === \"__v_isReactive\") {\n      return !isReadonly;\n    } else if (key === \"__v_isReadonly\") {\n      return isReadonly;\n    } else if (key === \"__v_raw\") {\n      return target;\n    }\n    return Reflect.get(\n      hasOwn(instrumentations, key) && key in target ? instrumentations : target,\n      key,\n      receiver\n    );\n  };\n}\nconst mutableCollectionHandlers = {\n  get: /* @__PURE__ */ createInstrumentationGetter(false, false)\n};\nconst shallowCollectionHandlers = {\n  get: /* @__PURE__ */ createInstrumentationGetter(false, true)\n};\nconst readonlyCollectionHandlers = {\n  get: /* @__PURE__ */ createInstrumentationGetter(true, false)\n};\nconst shallowReadonlyCollectionHandlers = {\n  get: /* @__PURE__ */ createInstrumentationGetter(true, true)\n};\nfunction checkIdentityKeys(target, has2, key) {\n  const rawKey = toRaw(key);\n  if (rawKey !== key && has2.call(target, rawKey)) {\n    const type = toRawType(target);\n    warn(\n      `Reactive ${type} contains both the raw and reactive versions of the same object${type === `Map` ? ` as keys` : ``}, which can lead to inconsistencies. Avoid differentiating between the raw and reactive versions of an object and only use the reactive version if possible.`\n    );\n  }\n}\n\nconst reactiveMap = /* @__PURE__ */ new WeakMap();\nconst shallowReactiveMap = /* @__PURE__ */ new WeakMap();\nconst readonlyMap = /* @__PURE__ */ new WeakMap();\nconst shallowReadonlyMap = /* @__PURE__ */ new WeakMap();\nfunction targetTypeMap(rawType) {\n  switch (rawType) {\n    case \"Object\":\n    case \"Array\":\n      return 1 /* COMMON */;\n    case \"Map\":\n    case \"Set\":\n    case \"WeakMap\":\n    case \"WeakSet\":\n      return 2 /* COLLECTION */;\n    default:\n      return 0 /* INVALID */;\n  }\n}\nfunction getTargetType(value) {\n  return value[\"__v_skip\"] || !Object.isExtensible(value) ? 0 /* INVALID */ : targetTypeMap(toRawType(value));\n}\nfunction reactive(target) {\n  if (isReadonly(target)) {\n    return target;\n  }\n  return createReactiveObject(\n    target,\n    false,\n    mutableHandlers,\n    mutableCollectionHandlers,\n    reactiveMap\n  );\n}\nfunction shallowReactive(target) {\n  return createReactiveObject(\n    target,\n    false,\n    shallowReactiveHandlers,\n    shallowCollectionHandlers,\n    shallowReactiveMap\n  );\n}\nfunction readonly(target) {\n  return createReactiveObject(\n    target,\n    true,\n    readonlyHandlers,\n    readonlyCollectionHandlers,\n    readonlyMap\n  );\n}\nfunction shallowReadonly(target) {\n  return createReactiveObject(\n    target,\n    true,\n    shallowReadonlyHandlers,\n    shallowReadonlyCollectionHandlers,\n    shallowReadonlyMap\n  );\n}\nfunction createReactiveObject(target, isReadonly2, baseHandlers, collectionHandlers, proxyMap) {\n  if (!isObject(target)) {\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      warn(\n        `value cannot be made ${isReadonly2 ? \"readonly\" : \"reactive\"}: ${String(\n          target\n        )}`\n      );\n    }\n    return target;\n  }\n  if (target[\"__v_raw\"] && !(isReadonly2 && target[\"__v_isReactive\"])) {\n    return target;\n  }\n  const existingProxy = proxyMap.get(target);\n  if (existingProxy) {\n    return existingProxy;\n  }\n  const targetType = getTargetType(target);\n  if (targetType === 0 /* INVALID */) {\n    return target;\n  }\n  const proxy = new Proxy(\n    target,\n    targetType === 2 /* COLLECTION */ ? collectionHandlers : baseHandlers\n  );\n  proxyMap.set(target, proxy);\n  return proxy;\n}\nfunction isReactive(value) {\n  if (isReadonly(value)) {\n    return isReactive(value[\"__v_raw\"]);\n  }\n  return !!(value && value[\"__v_isReactive\"]);\n}\nfunction isReadonly(value) {\n  return !!(value && value[\"__v_isReadonly\"]);\n}\nfunction isShallow(value) {\n  return !!(value && value[\"__v_isShallow\"]);\n}\nfunction isProxy(value) {\n  return value ? !!value[\"__v_raw\"] : false;\n}\nfunction toRaw(observed) {\n  const raw = observed && observed[\"__v_raw\"];\n  return raw ? toRaw(raw) : observed;\n}\nfunction markRaw(value) {\n  if (Object.isExtensible(value)) {\n    def(value, \"__v_skip\", true);\n  }\n  return value;\n}\nconst toReactive = (value) => isObject(value) ? reactive(value) : value;\nconst toReadonly = (value) => isObject(value) ? readonly(value) : value;\n\nconst COMPUTED_SIDE_EFFECT_WARN = `Computed is still dirty after getter evaluation, likely because a computed is mutating its own dependency in its getter. State mutations in computed getters should be avoided.  Check the docs for more details: https://vuejs.org/guide/essentials/computed.html#getters-should-be-side-effect-free`;\nclass ComputedRefImpl {\n  constructor(getter, _setter, isReadonly, isSSR) {\n    this.getter = getter;\n    this._setter = _setter;\n    this.dep = void 0;\n    this.__v_isRef = true;\n    this[\"__v_isReadonly\"] = false;\n    this.effect = new ReactiveEffect(\n      () => getter(this._value),\n      () => triggerRefValue(\n        this,\n        this.effect._dirtyLevel === 2 ? 2 : 3\n      )\n    );\n    this.effect.computed = this;\n    this.effect.active = this._cacheable = !isSSR;\n    this[\"__v_isReadonly\"] = isReadonly;\n  }\n  get value() {\n    const self = toRaw(this);\n    if ((!self._cacheable || self.effect.dirty) && hasChanged(self._value, self._value = self.effect.run())) {\n      triggerRefValue(self, 4);\n    }\n    trackRefValue(self);\n    if (self.effect._dirtyLevel >= 2) {\n      if (!!(process.env.NODE_ENV !== \"production\") && this._warnRecursive) {\n        warn(COMPUTED_SIDE_EFFECT_WARN, `\n\ngetter: `, this.getter);\n      }\n      triggerRefValue(self, 2);\n    }\n    return self._value;\n  }\n  set value(newValue) {\n    this._setter(newValue);\n  }\n  // #region polyfill _dirty for backward compatibility third party code for Vue <= 3.3.x\n  get _dirty() {\n    return this.effect.dirty;\n  }\n  set _dirty(v) {\n    this.effect.dirty = v;\n  }\n  // #endregion\n}\nfunction computed(getterOrOptions, debugOptions, isSSR = false) {\n  let getter;\n  let setter;\n  const onlyGetter = isFunction(getterOrOptions);\n  if (onlyGetter) {\n    getter = getterOrOptions;\n    setter = !!(process.env.NODE_ENV !== \"production\") ? () => {\n      warn(\"Write operation failed: computed value is readonly\");\n    } : NOOP;\n  } else {\n    getter = getterOrOptions.get;\n    setter = getterOrOptions.set;\n  }\n  const cRef = new ComputedRefImpl(getter, setter, onlyGetter || !setter, isSSR);\n  if (!!(process.env.NODE_ENV !== \"production\") && debugOptions && !isSSR) {\n    cRef.effect.onTrack = debugOptions.onTrack;\n    cRef.effect.onTrigger = debugOptions.onTrigger;\n  }\n  return cRef;\n}\n\nfunction trackRefValue(ref2) {\n  var _a;\n  if (shouldTrack && activeEffect) {\n    ref2 = toRaw(ref2);\n    trackEffect(\n      activeEffect,\n      (_a = ref2.dep) != null ? _a : ref2.dep = createDep(\n        () => ref2.dep = void 0,\n        ref2 instanceof ComputedRefImpl ? ref2 : void 0\n      ),\n      !!(process.env.NODE_ENV !== \"production\") ? {\n        target: ref2,\n        type: \"get\",\n        key: \"value\"\n      } : void 0\n    );\n  }\n}\nfunction triggerRefValue(ref2, dirtyLevel = 4, newVal, oldVal) {\n  ref2 = toRaw(ref2);\n  const dep = ref2.dep;\n  if (dep) {\n    triggerEffects(\n      dep,\n      dirtyLevel,\n      !!(process.env.NODE_ENV !== \"production\") ? {\n        target: ref2,\n        type: \"set\",\n        key: \"value\",\n        newValue: newVal,\n        oldValue: oldVal\n      } : void 0\n    );\n  }\n}\nfunction isRef(r) {\n  return !!(r && r.__v_isRef === true);\n}\nfunction ref(value) {\n  return createRef(value, false);\n}\nfunction shallowRef(value) {\n  return createRef(value, true);\n}\nfunction createRef(rawValue, shallow) {\n  if (isRef(rawValue)) {\n    return rawValue;\n  }\n  return new RefImpl(rawValue, shallow);\n}\nclass RefImpl {\n  constructor(value, __v_isShallow) {\n    this.__v_isShallow = __v_isShallow;\n    this.dep = void 0;\n    this.__v_isRef = true;\n    this._rawValue = __v_isShallow ? value : toRaw(value);\n    this._value = __v_isShallow ? value : toReactive(value);\n  }\n  get value() {\n    trackRefValue(this);\n    return this._value;\n  }\n  set value(newVal) {\n    const useDirectValue = this.__v_isShallow || isShallow(newVal) || isReadonly(newVal);\n    newVal = useDirectValue ? newVal : toRaw(newVal);\n    if (hasChanged(newVal, this._rawValue)) {\n      const oldVal = this._rawValue;\n      this._rawValue = newVal;\n      this._value = useDirectValue ? newVal : toReactive(newVal);\n      triggerRefValue(this, 4, newVal, oldVal);\n    }\n  }\n}\nfunction triggerRef(ref2) {\n  triggerRefValue(ref2, 4, !!(process.env.NODE_ENV !== \"production\") ? ref2.value : void 0);\n}\nfunction unref(ref2) {\n  return isRef(ref2) ? ref2.value : ref2;\n}\nfunction toValue(source) {\n  return isFunction(source) ? source() : unref(source);\n}\nconst shallowUnwrapHandlers = {\n  get: (target, key, receiver) => unref(Reflect.get(target, key, receiver)),\n  set: (target, key, value, receiver) => {\n    const oldValue = target[key];\n    if (isRef(oldValue) && !isRef(value)) {\n      oldValue.value = value;\n      return true;\n    } else {\n      return Reflect.set(target, key, value, receiver);\n    }\n  }\n};\nfunction proxyRefs(objectWithRefs) {\n  return isReactive(objectWithRefs) ? objectWithRefs : new Proxy(objectWithRefs, shallowUnwrapHandlers);\n}\nclass CustomRefImpl {\n  constructor(factory) {\n    this.dep = void 0;\n    this.__v_isRef = true;\n    const { get, set } = factory(\n      () => trackRefValue(this),\n      () => triggerRefValue(this)\n    );\n    this._get = get;\n    this._set = set;\n  }\n  get value() {\n    return this._get();\n  }\n  set value(newVal) {\n    this._set(newVal);\n  }\n}\nfunction customRef(factory) {\n  return new CustomRefImpl(factory);\n}\nfunction toRefs(object) {\n  if (!!(process.env.NODE_ENV !== \"production\") && !isProxy(object)) {\n    warn(`toRefs() expects a reactive object but received a plain one.`);\n  }\n  const ret = isArray(object) ? new Array(object.length) : {};\n  for (const key in object) {\n    ret[key] = propertyToRef(object, key);\n  }\n  return ret;\n}\nclass ObjectRefImpl {\n  constructor(_object, _key, _defaultValue) {\n    this._object = _object;\n    this._key = _key;\n    this._defaultValue = _defaultValue;\n    this.__v_isRef = true;\n  }\n  get value() {\n    const val = this._object[this._key];\n    return val === void 0 ? this._defaultValue : val;\n  }\n  set value(newVal) {\n    this._object[this._key] = newVal;\n  }\n  get dep() {\n    return getDepFromReactive(toRaw(this._object), this._key);\n  }\n}\nclass GetterRefImpl {\n  constructor(_getter) {\n    this._getter = _getter;\n    this.__v_isRef = true;\n    this.__v_isReadonly = true;\n  }\n  get value() {\n    return this._getter();\n  }\n}\nfunction toRef(source, key, defaultValue) {\n  if (isRef(source)) {\n    return source;\n  } else if (isFunction(source)) {\n    return new GetterRefImpl(source);\n  } else if (isObject(source) && arguments.length > 1) {\n    return propertyToRef(source, key, defaultValue);\n  } else {\n    return ref(source);\n  }\n}\nfunction propertyToRef(source, key, defaultValue) {\n  const val = source[key];\n  return isRef(val) ? val : new ObjectRefImpl(source, key, defaultValue);\n}\n\nconst deferredComputed = computed;\n\nconst TrackOpTypes = {\n  \"GET\": \"get\",\n  \"HAS\": \"has\",\n  \"ITERATE\": \"iterate\"\n};\nconst TriggerOpTypes = {\n  \"SET\": \"set\",\n  \"ADD\": \"add\",\n  \"DELETE\": \"delete\",\n  \"CLEAR\": \"clear\"\n};\nconst ReactiveFlags = {\n  \"SKIP\": \"__v_skip\",\n  \"IS_REACTIVE\": \"__v_isReactive\",\n  \"IS_READONLY\": \"__v_isReadonly\",\n  \"IS_SHALLOW\": \"__v_isShallow\",\n  \"RAW\": \"__v_raw\"\n};\n\nexport { EffectScope, ITERATE_KEY, ReactiveEffect, ReactiveFlags, TrackOpTypes, TriggerOpTypes, computed, customRef, deferredComputed, effect, effectScope, enableTracking, getCurrentScope, isProxy, isReactive, isReadonly, isRef, isShallow, markRaw, onScopeDispose, pauseScheduling, pauseTracking, proxyRefs, reactive, readonly, ref, resetScheduling, resetTracking, shallowReactive, shallowReadonly, shallowRef, stop, toRaw, toRef, toRefs, toValue, track, trigger, triggerRef, unref };\n","/**\n* @vue/runtime-core v3.4.31\n* (c) 2018-present Yuxi (Evan) You and Vue contributors\n* @license MIT\n**/\nimport { pauseTracking, resetTracking, isRef, toRaw, shallowReadonly, ref, track, reactive, shallowReactive, trigger, ReactiveEffect, isShallow, isReactive, getCurrentScope, isProxy, proxyRefs, markRaw, EffectScope, computed as computed$1, customRef, isReadonly } from '@vue/reactivity';\nexport { EffectScope, ReactiveEffect, TrackOpTypes, TriggerOpTypes, customRef, effect, effectScope, getCurrentScope, isProxy, isReactive, isReadonly, isRef, isShallow, markRaw, onScopeDispose, proxyRefs, reactive, readonly, ref, shallowReactive, shallowReadonly, shallowRef, stop, toRaw, toRef, toRefs, toValue, triggerRef, unref } from '@vue/reactivity';\nimport { isString, isFunction, isPromise, isArray, NOOP, getGlobalThis, extend, EMPTY_OBJ, toHandlerKey, looseToNumber, hyphenate, camelize, isObject, isOn, hasOwn, isModelListener, capitalize, toNumber, isBuiltInDirective, isGloballyAllowed, NO, isReservedProp, EMPTY_ARR, toRawType, makeMap, def, remove, normalizeClass, stringifyStyle, normalizeStyle, isKnownSvgAttr, isBooleanAttr, isKnownHtmlAttr, includeBooleanAttr, isRenderableAttrValue, invokeArrayFns, hasChanged, isSet, isMap, isPlainObject, isRegExp } from '@vue/shared';\nexport { camelize, capitalize, normalizeClass, normalizeProps, normalizeStyle, toDisplayString, toHandlerKey } from '@vue/shared';\n\nconst stack = [];\nfunction pushWarningContext(vnode) {\n  stack.push(vnode);\n}\nfunction popWarningContext() {\n  stack.pop();\n}\nfunction warn$1(msg, ...args) {\n  pauseTracking();\n  const instance = stack.length ? stack[stack.length - 1].component : null;\n  const appWarnHandler = instance && instance.appContext.config.warnHandler;\n  const trace = getComponentTrace();\n  if (appWarnHandler) {\n    callWithErrorHandling(\n      appWarnHandler,\n      instance,\n      11,\n      [\n        // eslint-disable-next-line no-restricted-syntax\n        msg + args.map((a) => {\n          var _a, _b;\n          return (_b = (_a = a.toString) == null ? void 0 : _a.call(a)) != null ? _b : JSON.stringify(a);\n        }).join(\"\"),\n        instance && instance.proxy,\n        trace.map(\n          ({ vnode }) => `at <${formatComponentName(instance, vnode.type)}>`\n        ).join(\"\\n\"),\n        trace\n      ]\n    );\n  } else {\n    const warnArgs = [`[Vue warn]: ${msg}`, ...args];\n    if (trace.length && // avoid spamming console during tests\n    true) {\n      warnArgs.push(`\n`, ...formatTrace(trace));\n    }\n    console.warn(...warnArgs);\n  }\n  resetTracking();\n}\nfunction getComponentTrace() {\n  let currentVNode = stack[stack.length - 1];\n  if (!currentVNode) {\n    return [];\n  }\n  const normalizedStack = [];\n  while (currentVNode) {\n    const last = normalizedStack[0];\n    if (last && last.vnode === currentVNode) {\n      last.recurseCount++;\n    } else {\n      normalizedStack.push({\n        vnode: currentVNode,\n        recurseCount: 0\n      });\n    }\n    const parentInstance = currentVNode.component && currentVNode.component.parent;\n    currentVNode = parentInstance && parentInstance.vnode;\n  }\n  return normalizedStack;\n}\nfunction formatTrace(trace) {\n  const logs = [];\n  trace.forEach((entry, i) => {\n    logs.push(...i === 0 ? [] : [`\n`], ...formatTraceEntry(entry));\n  });\n  return logs;\n}\nfunction formatTraceEntry({ vnode, recurseCount }) {\n  const postfix = recurseCount > 0 ? `... (${recurseCount} recursive calls)` : ``;\n  const isRoot = vnode.component ? vnode.component.parent == null : false;\n  const open = ` at <${formatComponentName(\n    vnode.component,\n    vnode.type,\n    isRoot\n  )}`;\n  const close = `>` + postfix;\n  return vnode.props ? [open, ...formatProps(vnode.props), close] : [open + close];\n}\nfunction formatProps(props) {\n  const res = [];\n  const keys = Object.keys(props);\n  keys.slice(0, 3).forEach((key) => {\n    res.push(...formatProp(key, props[key]));\n  });\n  if (keys.length > 3) {\n    res.push(` ...`);\n  }\n  return res;\n}\nfunction formatProp(key, value, raw) {\n  if (isString(value)) {\n    value = JSON.stringify(value);\n    return raw ? value : [`${key}=${value}`];\n  } else if (typeof value === \"number\" || typeof value === \"boolean\" || value == null) {\n    return raw ? value : [`${key}=${value}`];\n  } else if (isRef(value)) {\n    value = formatProp(key, toRaw(value.value), true);\n    return raw ? value : [`${key}=Ref<`, value, `>`];\n  } else if (isFunction(value)) {\n    return [`${key}=fn${value.name ? `<${value.name}>` : ``}`];\n  } else {\n    value = toRaw(value);\n    return raw ? value : [`${key}=`, value];\n  }\n}\nfunction assertNumber(val, type) {\n  if (!!!(process.env.NODE_ENV !== \"production\")) return;\n  if (val === void 0) {\n    return;\n  } else if (typeof val !== \"number\") {\n    warn$1(`${type} is not a valid number - got ${JSON.stringify(val)}.`);\n  } else if (isNaN(val)) {\n    warn$1(`${type} is NaN - the duration expression might be incorrect.`);\n  }\n}\n\nconst ErrorCodes = {\n  \"SETUP_FUNCTION\": 0,\n  \"0\": \"SETUP_FUNCTION\",\n  \"RENDER_FUNCTION\": 1,\n  \"1\": \"RENDER_FUNCTION\",\n  \"WATCH_GETTER\": 2,\n  \"2\": \"WATCH_GETTER\",\n  \"WATCH_CALLBACK\": 3,\n  \"3\": \"WATCH_CALLBACK\",\n  \"WATCH_CLEANUP\": 4,\n  \"4\": \"WATCH_CLEANUP\",\n  \"NATIVE_EVENT_HANDLER\": 5,\n  \"5\": \"NATIVE_EVENT_HANDLER\",\n  \"COMPONENT_EVENT_HANDLER\": 6,\n  \"6\": \"COMPONENT_EVENT_HANDLER\",\n  \"VNODE_HOOK\": 7,\n  \"7\": \"VNODE_HOOK\",\n  \"DIRECTIVE_HOOK\": 8,\n  \"8\": \"DIRECTIVE_HOOK\",\n  \"TRANSITION_HOOK\": 9,\n  \"9\": \"TRANSITION_HOOK\",\n  \"APP_ERROR_HANDLER\": 10,\n  \"10\": \"APP_ERROR_HANDLER\",\n  \"APP_WARN_HANDLER\": 11,\n  \"11\": \"APP_WARN_HANDLER\",\n  \"FUNCTION_REF\": 12,\n  \"12\": \"FUNCTION_REF\",\n  \"ASYNC_COMPONENT_LOADER\": 13,\n  \"13\": \"ASYNC_COMPONENT_LOADER\",\n  \"SCHEDULER\": 14,\n  \"14\": \"SCHEDULER\"\n};\nconst ErrorTypeStrings$1 = {\n  [\"sp\"]: \"serverPrefetch hook\",\n  [\"bc\"]: \"beforeCreate hook\",\n  [\"c\"]: \"created hook\",\n  [\"bm\"]: \"beforeMount hook\",\n  [\"m\"]: \"mounted hook\",\n  [\"bu\"]: \"beforeUpdate hook\",\n  [\"u\"]: \"updated\",\n  [\"bum\"]: \"beforeUnmount hook\",\n  [\"um\"]: \"unmounted hook\",\n  [\"a\"]: \"activated hook\",\n  [\"da\"]: \"deactivated hook\",\n  [\"ec\"]: \"errorCaptured hook\",\n  [\"rtc\"]: \"renderTracked hook\",\n  [\"rtg\"]: \"renderTriggered hook\",\n  [0]: \"setup function\",\n  [1]: \"render function\",\n  [2]: \"watcher getter\",\n  [3]: \"watcher callback\",\n  [4]: \"watcher cleanup function\",\n  [5]: \"native event handler\",\n  [6]: \"component event handler\",\n  [7]: \"vnode hook\",\n  [8]: \"directive hook\",\n  [9]: \"transition hook\",\n  [10]: \"app errorHandler\",\n  [11]: \"app warnHandler\",\n  [12]: \"ref function\",\n  [13]: \"async component loader\",\n  [14]: \"scheduler flush. This is likely a Vue internals bug. Please open an issue at https://github.com/vuejs/core .\"\n};\nfunction callWithErrorHandling(fn, instance, type, args) {\n  try {\n    return args ? fn(...args) : fn();\n  } catch (err) {\n    handleError(err, instance, type);\n  }\n}\nfunction callWithAsyncErrorHandling(fn, instance, type, args) {\n  if (isFunction(fn)) {\n    const res = callWithErrorHandling(fn, instance, type, args);\n    if (res && isPromise(res)) {\n      res.catch((err) => {\n        handleError(err, instance, type);\n      });\n    }\n    return res;\n  }\n  if (isArray(fn)) {\n    const values = [];\n    for (let i = 0; i < fn.length; i++) {\n      values.push(callWithAsyncErrorHandling(fn[i], instance, type, args));\n    }\n    return values;\n  } else if (!!(process.env.NODE_ENV !== \"production\")) {\n    warn$1(\n      `Invalid value type passed to callWithAsyncErrorHandling(): ${typeof fn}`\n    );\n  }\n}\nfunction handleError(err, instance, type, throwInDev = true) {\n  const contextVNode = instance ? instance.vnode : null;\n  if (instance) {\n    let cur = instance.parent;\n    const exposedInstance = instance.proxy;\n    const errorInfo = !!(process.env.NODE_ENV !== \"production\") ? ErrorTypeStrings$1[type] : `https://vuejs.org/error-reference/#runtime-${type}`;\n    while (cur) {\n      const errorCapturedHooks = cur.ec;\n      if (errorCapturedHooks) {\n        for (let i = 0; i < errorCapturedHooks.length; i++) {\n          if (errorCapturedHooks[i](err, exposedInstance, errorInfo) === false) {\n            return;\n          }\n        }\n      }\n      cur = cur.parent;\n    }\n    const appErrorHandler = instance.appContext.config.errorHandler;\n    if (appErrorHandler) {\n      pauseTracking();\n      callWithErrorHandling(\n        appErrorHandler,\n        null,\n        10,\n        [err, exposedInstance, errorInfo]\n      );\n      resetTracking();\n      return;\n    }\n  }\n  logError(err, type, contextVNode, throwInDev);\n}\nfunction logError(err, type, contextVNode, throwInDev = true) {\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    const info = ErrorTypeStrings$1[type];\n    if (contextVNode) {\n      pushWarningContext(contextVNode);\n    }\n    warn$1(`Unhandled error${info ? ` during execution of ${info}` : ``}`);\n    if (contextVNode) {\n      popWarningContext();\n    }\n    if (throwInDev) {\n      throw err;\n    } else {\n      console.error(err);\n    }\n  } else {\n    console.error(err);\n  }\n}\n\nlet isFlushing = false;\nlet isFlushPending = false;\nconst queue = [];\nlet flushIndex = 0;\nconst pendingPostFlushCbs = [];\nlet activePostFlushCbs = null;\nlet postFlushIndex = 0;\nconst resolvedPromise = /* @__PURE__ */ Promise.resolve();\nlet currentFlushPromise = null;\nconst RECURSION_LIMIT = 100;\nfunction nextTick(fn) {\n  const p = currentFlushPromise || resolvedPromise;\n  return fn ? p.then(this ? fn.bind(this) : fn) : p;\n}\nfunction findInsertionIndex(id) {\n  let start = flushIndex + 1;\n  let end = queue.length;\n  while (start < end) {\n    const middle = start + end >>> 1;\n    const middleJob = queue[middle];\n    const middleJobId = getId(middleJob);\n    if (middleJobId < id || middleJobId === id && middleJob.pre) {\n      start = middle + 1;\n    } else {\n      end = middle;\n    }\n  }\n  return start;\n}\nfunction queueJob(job) {\n  if (!queue.length || !queue.includes(\n    job,\n    isFlushing && job.allowRecurse ? flushIndex + 1 : flushIndex\n  )) {\n    if (job.id == null) {\n      queue.push(job);\n    } else {\n      queue.splice(findInsertionIndex(job.id), 0, job);\n    }\n    queueFlush();\n  }\n}\nfunction queueFlush() {\n  if (!isFlushing && !isFlushPending) {\n    isFlushPending = true;\n    currentFlushPromise = resolvedPromise.then(flushJobs);\n  }\n}\nfunction invalidateJob(job) {\n  const i = queue.indexOf(job);\n  if (i > flushIndex) {\n    queue.splice(i, 1);\n  }\n}\nfunction queuePostFlushCb(cb) {\n  if (!isArray(cb)) {\n    if (!activePostFlushCbs || !activePostFlushCbs.includes(\n      cb,\n      cb.allowRecurse ? postFlushIndex + 1 : postFlushIndex\n    )) {\n      pendingPostFlushCbs.push(cb);\n    }\n  } else {\n    pendingPostFlushCbs.push(...cb);\n  }\n  queueFlush();\n}\nfunction flushPreFlushCbs(instance, seen, i = isFlushing ? flushIndex + 1 : 0) {\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    seen = seen || /* @__PURE__ */ new Map();\n  }\n  for (; i < queue.length; i++) {\n    const cb = queue[i];\n    if (cb && cb.pre) {\n      if (instance && cb.id !== instance.uid) {\n        continue;\n      }\n      if (!!(process.env.NODE_ENV !== \"production\") && checkRecursiveUpdates(seen, cb)) {\n        continue;\n      }\n      queue.splice(i, 1);\n      i--;\n      cb();\n    }\n  }\n}\nfunction flushPostFlushCbs(seen) {\n  if (pendingPostFlushCbs.length) {\n    const deduped = [...new Set(pendingPostFlushCbs)].sort(\n      (a, b) => getId(a) - getId(b)\n    );\n    pendingPostFlushCbs.length = 0;\n    if (activePostFlushCbs) {\n      activePostFlushCbs.push(...deduped);\n      return;\n    }\n    activePostFlushCbs = deduped;\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      seen = seen || /* @__PURE__ */ new Map();\n    }\n    for (postFlushIndex = 0; postFlushIndex < activePostFlushCbs.length; postFlushIndex++) {\n      const cb = activePostFlushCbs[postFlushIndex];\n      if (!!(process.env.NODE_ENV !== \"production\") && checkRecursiveUpdates(seen, cb)) {\n        continue;\n      }\n      if (cb.active !== false) cb();\n    }\n    activePostFlushCbs = null;\n    postFlushIndex = 0;\n  }\n}\nconst getId = (job) => job.id == null ? Infinity : job.id;\nconst comparator = (a, b) => {\n  const diff = getId(a) - getId(b);\n  if (diff === 0) {\n    if (a.pre && !b.pre) return -1;\n    if (b.pre && !a.pre) return 1;\n  }\n  return diff;\n};\nfunction flushJobs(seen) {\n  isFlushPending = false;\n  isFlushing = true;\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    seen = seen || /* @__PURE__ */ new Map();\n  }\n  queue.sort(comparator);\n  const check = !!(process.env.NODE_ENV !== \"production\") ? (job) => checkRecursiveUpdates(seen, job) : NOOP;\n  try {\n    for (flushIndex = 0; flushIndex < queue.length; flushIndex++) {\n      const job = queue[flushIndex];\n      if (job && job.active !== false) {\n        if (!!(process.env.NODE_ENV !== \"production\") && check(job)) {\n          continue;\n        }\n        callWithErrorHandling(job, null, 14);\n      }\n    }\n  } finally {\n    flushIndex = 0;\n    queue.length = 0;\n    flushPostFlushCbs(seen);\n    isFlushing = false;\n    currentFlushPromise = null;\n    if (queue.length || pendingPostFlushCbs.length) {\n      flushJobs(seen);\n    }\n  }\n}\nfunction checkRecursiveUpdates(seen, fn) {\n  if (!seen.has(fn)) {\n    seen.set(fn, 1);\n  } else {\n    const count = seen.get(fn);\n    if (count > RECURSION_LIMIT) {\n      const instance = fn.ownerInstance;\n      const componentName = instance && getComponentName(instance.type);\n      handleError(\n        `Maximum recursive updates exceeded${componentName ? ` in component <${componentName}>` : ``}. This means you have a reactive effect that is mutating its own dependencies and thus recursively triggering itself. Possible sources include component template, render function, updated hook or watcher source function.`,\n        null,\n        10\n      );\n      return true;\n    } else {\n      seen.set(fn, count + 1);\n    }\n  }\n}\n\nlet isHmrUpdating = false;\nconst hmrDirtyComponents = /* @__PURE__ */ new Set();\nif (!!(process.env.NODE_ENV !== \"production\")) {\n  getGlobalThis().__VUE_HMR_RUNTIME__ = {\n    createRecord: tryWrap(createRecord),\n    rerender: tryWrap(rerender),\n    reload: tryWrap(reload)\n  };\n}\nconst map = /* @__PURE__ */ new Map();\nfunction registerHMR(instance) {\n  const id = instance.type.__hmrId;\n  let record = map.get(id);\n  if (!record) {\n    createRecord(id, instance.type);\n    record = map.get(id);\n  }\n  record.instances.add(instance);\n}\nfunction unregisterHMR(instance) {\n  map.get(instance.type.__hmrId).instances.delete(instance);\n}\nfunction createRecord(id, initialDef) {\n  if (map.has(id)) {\n    return false;\n  }\n  map.set(id, {\n    initialDef: normalizeClassComponent(initialDef),\n    instances: /* @__PURE__ */ new Set()\n  });\n  return true;\n}\nfunction normalizeClassComponent(component) {\n  return isClassComponent(component) ? component.__vccOpts : component;\n}\nfunction rerender(id, newRender) {\n  const record = map.get(id);\n  if (!record) {\n    return;\n  }\n  record.initialDef.render = newRender;\n  [...record.instances].forEach((instance) => {\n    if (newRender) {\n      instance.render = newRender;\n      normalizeClassComponent(instance.type).render = newRender;\n    }\n    instance.renderCache = [];\n    isHmrUpdating = true;\n    instance.effect.dirty = true;\n    instance.update();\n    isHmrUpdating = false;\n  });\n}\nfunction reload(id, newComp) {\n  const record = map.get(id);\n  if (!record) return;\n  newComp = normalizeClassComponent(newComp);\n  updateComponentDef(record.initialDef, newComp);\n  const instances = [...record.instances];\n  for (const instance of instances) {\n    const oldComp = normalizeClassComponent(instance.type);\n    if (!hmrDirtyComponents.has(oldComp)) {\n      if (oldComp !== record.initialDef) {\n        updateComponentDef(oldComp, newComp);\n      }\n      hmrDirtyComponents.add(oldComp);\n    }\n    instance.appContext.propsCache.delete(instance.type);\n    instance.appContext.emitsCache.delete(instance.type);\n    instance.appContext.optionsCache.delete(instance.type);\n    if (instance.ceReload) {\n      hmrDirtyComponents.add(oldComp);\n      instance.ceReload(newComp.styles);\n      hmrDirtyComponents.delete(oldComp);\n    } else if (instance.parent) {\n      instance.parent.effect.dirty = true;\n      queueJob(() => {\n        instance.parent.update();\n        hmrDirtyComponents.delete(oldComp);\n      });\n    } else if (instance.appContext.reload) {\n      instance.appContext.reload();\n    } else if (typeof window !== \"undefined\") {\n      window.location.reload();\n    } else {\n      console.warn(\n        \"[HMR] Root or manually mounted instance modified. Full reload required.\"\n      );\n    }\n  }\n  queuePostFlushCb(() => {\n    for (const instance of instances) {\n      hmrDirtyComponents.delete(\n        normalizeClassComponent(instance.type)\n      );\n    }\n  });\n}\nfunction updateComponentDef(oldComp, newComp) {\n  extend(oldComp, newComp);\n  for (const key in oldComp) {\n    if (key !== \"__file\" && !(key in newComp)) {\n      delete oldComp[key];\n    }\n  }\n}\nfunction tryWrap(fn) {\n  return (id, arg) => {\n    try {\n      return fn(id, arg);\n    } catch (e) {\n      console.error(e);\n      console.warn(\n        `[HMR] Something went wrong during Vue component hot-reload. Full reload required.`\n      );\n    }\n  };\n}\n\nlet devtools$1;\nlet buffer = [];\nlet devtoolsNotInstalled = false;\nfunction emit$1(event, ...args) {\n  if (devtools$1) {\n    devtools$1.emit(event, ...args);\n  } else if (!devtoolsNotInstalled) {\n    buffer.push({ event, args });\n  }\n}\nfunction setDevtoolsHook$1(hook, target) {\n  var _a, _b;\n  devtools$1 = hook;\n  if (devtools$1) {\n    devtools$1.enabled = true;\n    buffer.forEach(({ event, args }) => devtools$1.emit(event, ...args));\n    buffer = [];\n  } else if (\n    // handle late devtools injection - only do this if we are in an actual\n    // browser environment to avoid the timer handle stalling test runner exit\n    // (#4815)\n    typeof window !== \"undefined\" && // some envs mock window but not fully\n    window.HTMLElement && // also exclude jsdom\n    // eslint-disable-next-line no-restricted-syntax\n    !((_b = (_a = window.navigator) == null ? void 0 : _a.userAgent) == null ? void 0 : _b.includes(\"jsdom\"))\n  ) {\n    const replay = target.__VUE_DEVTOOLS_HOOK_REPLAY__ = target.__VUE_DEVTOOLS_HOOK_REPLAY__ || [];\n    replay.push((newHook) => {\n      setDevtoolsHook$1(newHook, target);\n    });\n    setTimeout(() => {\n      if (!devtools$1) {\n        target.__VUE_DEVTOOLS_HOOK_REPLAY__ = null;\n        devtoolsNotInstalled = true;\n        buffer = [];\n      }\n    }, 3e3);\n  } else {\n    devtoolsNotInstalled = true;\n    buffer = [];\n  }\n}\nfunction devtoolsInitApp(app, version) {\n  emit$1(\"app:init\" /* APP_INIT */, app, version, {\n    Fragment,\n    Text,\n    Comment,\n    Static\n  });\n}\nfunction devtoolsUnmountApp(app) {\n  emit$1(\"app:unmount\" /* APP_UNMOUNT */, app);\n}\nconst devtoolsComponentAdded = /* @__PURE__ */ createDevtoolsComponentHook(\n  \"component:added\" /* COMPONENT_ADDED */\n);\nconst devtoolsComponentUpdated = /* @__PURE__ */ createDevtoolsComponentHook(\"component:updated\" /* COMPONENT_UPDATED */);\nconst _devtoolsComponentRemoved = /* @__PURE__ */ createDevtoolsComponentHook(\n  \"component:removed\" /* COMPONENT_REMOVED */\n);\nconst devtoolsComponentRemoved = (component) => {\n  if (devtools$1 && typeof devtools$1.cleanupBuffer === \"function\" && // remove the component if it wasn't buffered\n  !devtools$1.cleanupBuffer(component)) {\n    _devtoolsComponentRemoved(component);\n  }\n};\n/*! #__NO_SIDE_EFFECTS__ */\n// @__NO_SIDE_EFFECTS__\nfunction createDevtoolsComponentHook(hook) {\n  return (component) => {\n    emit$1(\n      hook,\n      component.appContext.app,\n      component.uid,\n      component.parent ? component.parent.uid : void 0,\n      component\n    );\n  };\n}\nconst devtoolsPerfStart = /* @__PURE__ */ createDevtoolsPerformanceHook(\n  \"perf:start\" /* PERFORMANCE_START */\n);\nconst devtoolsPerfEnd = /* @__PURE__ */ createDevtoolsPerformanceHook(\n  \"perf:end\" /* PERFORMANCE_END */\n);\nfunction createDevtoolsPerformanceHook(hook) {\n  return (component, type, time) => {\n    emit$1(hook, component.appContext.app, component.uid, component, type, time);\n  };\n}\nfunction devtoolsComponentEmit(component, event, params) {\n  emit$1(\n    \"component:emit\" /* COMPONENT_EMIT */,\n    component.appContext.app,\n    component,\n    event,\n    params\n  );\n}\n\nfunction emit(instance, event, ...rawArgs) {\n  if (instance.isUnmounted) return;\n  const props = instance.vnode.props || EMPTY_OBJ;\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    const {\n      emitsOptions,\n      propsOptions: [propsOptions]\n    } = instance;\n    if (emitsOptions) {\n      if (!(event in emitsOptions) && true) {\n        if (!propsOptions || !(toHandlerKey(event) in propsOptions)) {\n          warn$1(\n            `Component emitted event \"${event}\" but it is neither declared in the emits option nor as an \"${toHandlerKey(event)}\" prop.`\n          );\n        }\n      } else {\n        const validator = emitsOptions[event];\n        if (isFunction(validator)) {\n          const isValid = validator(...rawArgs);\n          if (!isValid) {\n            warn$1(\n              `Invalid event arguments: event validation failed for event \"${event}\".`\n            );\n          }\n        }\n      }\n    }\n  }\n  let args = rawArgs;\n  const isModelListener = event.startsWith(\"update:\");\n  const modelArg = isModelListener && event.slice(7);\n  if (modelArg && modelArg in props) {\n    const modifiersKey = `${modelArg === \"modelValue\" ? \"model\" : modelArg}Modifiers`;\n    const { number, trim } = props[modifiersKey] || EMPTY_OBJ;\n    if (trim) {\n      args = rawArgs.map((a) => isString(a) ? a.trim() : a);\n    }\n    if (number) {\n      args = rawArgs.map(looseToNumber);\n    }\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n    devtoolsComponentEmit(instance, event, args);\n  }\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    const lowerCaseEvent = event.toLowerCase();\n    if (lowerCaseEvent !== event && props[toHandlerKey(lowerCaseEvent)]) {\n      warn$1(\n        `Event \"${lowerCaseEvent}\" is emitted in component ${formatComponentName(\n          instance,\n          instance.type\n        )} but the handler is registered for \"${event}\". Note that HTML attributes are case-insensitive and you cannot use v-on to listen to camelCase events when using in-DOM templates. You should probably use \"${hyphenate(\n          event\n        )}\" instead of \"${event}\".`\n      );\n    }\n  }\n  let handlerName;\n  let handler = props[handlerName = toHandlerKey(event)] || // also try camelCase event handler (#2249)\n  props[handlerName = toHandlerKey(camelize(event))];\n  if (!handler && isModelListener) {\n    handler = props[handlerName = toHandlerKey(hyphenate(event))];\n  }\n  if (handler) {\n    callWithAsyncErrorHandling(\n      handler,\n      instance,\n      6,\n      args\n    );\n  }\n  const onceHandler = props[handlerName + `Once`];\n  if (onceHandler) {\n    if (!instance.emitted) {\n      instance.emitted = {};\n    } else if (instance.emitted[handlerName]) {\n      return;\n    }\n    instance.emitted[handlerName] = true;\n    callWithAsyncErrorHandling(\n      onceHandler,\n      instance,\n      6,\n      args\n    );\n  }\n}\nfunction normalizeEmitsOptions(comp, appContext, asMixin = false) {\n  const cache = appContext.emitsCache;\n  const cached = cache.get(comp);\n  if (cached !== void 0) {\n    return cached;\n  }\n  const raw = comp.emits;\n  let normalized = {};\n  let hasExtends = false;\n  if (__VUE_OPTIONS_API__ && !isFunction(comp)) {\n    const extendEmits = (raw2) => {\n      const normalizedFromExtend = normalizeEmitsOptions(raw2, appContext, true);\n      if (normalizedFromExtend) {\n        hasExtends = true;\n        extend(normalized, normalizedFromExtend);\n      }\n    };\n    if (!asMixin && appContext.mixins.length) {\n      appContext.mixins.forEach(extendEmits);\n    }\n    if (comp.extends) {\n      extendEmits(comp.extends);\n    }\n    if (comp.mixins) {\n      comp.mixins.forEach(extendEmits);\n    }\n  }\n  if (!raw && !hasExtends) {\n    if (isObject(comp)) {\n      cache.set(comp, null);\n    }\n    return null;\n  }\n  if (isArray(raw)) {\n    raw.forEach((key) => normalized[key] = null);\n  } else {\n    extend(normalized, raw);\n  }\n  if (isObject(comp)) {\n    cache.set(comp, normalized);\n  }\n  return normalized;\n}\nfunction isEmitListener(options, key) {\n  if (!options || !isOn(key)) {\n    return false;\n  }\n  key = key.slice(2).replace(/Once$/, \"\");\n  return hasOwn(options, key[0].toLowerCase() + key.slice(1)) || hasOwn(options, hyphenate(key)) || hasOwn(options, key);\n}\n\nlet currentRenderingInstance = null;\nlet currentScopeId = null;\nfunction setCurrentRenderingInstance(instance) {\n  const prev = currentRenderingInstance;\n  currentRenderingInstance = instance;\n  currentScopeId = instance && instance.type.__scopeId || null;\n  return prev;\n}\nfunction pushScopeId(id) {\n  currentScopeId = id;\n}\nfunction popScopeId() {\n  currentScopeId = null;\n}\nconst withScopeId = (_id) => withCtx;\nfunction withCtx(fn, ctx = currentRenderingInstance, isNonScopedSlot) {\n  if (!ctx) return fn;\n  if (fn._n) {\n    return fn;\n  }\n  const renderFnWithContext = (...args) => {\n    if (renderFnWithContext._d) {\n      setBlockTracking(-1);\n    }\n    const prevInstance = setCurrentRenderingInstance(ctx);\n    let res;\n    try {\n      res = fn(...args);\n    } finally {\n      setCurrentRenderingInstance(prevInstance);\n      if (renderFnWithContext._d) {\n        setBlockTracking(1);\n      }\n    }\n    if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n      devtoolsComponentUpdated(ctx);\n    }\n    return res;\n  };\n  renderFnWithContext._n = true;\n  renderFnWithContext._c = true;\n  renderFnWithContext._d = true;\n  return renderFnWithContext;\n}\n\nlet accessedAttrs = false;\nfunction markAttrsAccessed() {\n  accessedAttrs = true;\n}\nfunction renderComponentRoot(instance) {\n  const {\n    type: Component,\n    vnode,\n    proxy,\n    withProxy,\n    propsOptions: [propsOptions],\n    slots,\n    attrs,\n    emit,\n    render,\n    renderCache,\n    props,\n    data,\n    setupState,\n    ctx,\n    inheritAttrs\n  } = instance;\n  const prev = setCurrentRenderingInstance(instance);\n  let result;\n  let fallthroughAttrs;\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    accessedAttrs = false;\n  }\n  try {\n    if (vnode.shapeFlag & 4) {\n      const proxyToUse = withProxy || proxy;\n      const thisProxy = !!(process.env.NODE_ENV !== \"production\") && setupState.__isScriptSetup ? new Proxy(proxyToUse, {\n        get(target, key, receiver) {\n          warn$1(\n            `Property '${String(\n              key\n            )}' was accessed via 'this'. Avoid using 'this' in templates.`\n          );\n          return Reflect.get(target, key, receiver);\n        }\n      }) : proxyToUse;\n      result = normalizeVNode(\n        render.call(\n          thisProxy,\n          proxyToUse,\n          renderCache,\n          !!(process.env.NODE_ENV !== \"production\") ? shallowReadonly(props) : props,\n          setupState,\n          data,\n          ctx\n        )\n      );\n      fallthroughAttrs = attrs;\n    } else {\n      const render2 = Component;\n      if (!!(process.env.NODE_ENV !== \"production\") && attrs === props) {\n        markAttrsAccessed();\n      }\n      result = normalizeVNode(\n        render2.length > 1 ? render2(\n          !!(process.env.NODE_ENV !== \"production\") ? shallowReadonly(props) : props,\n          !!(process.env.NODE_ENV !== \"production\") ? {\n            get attrs() {\n              markAttrsAccessed();\n              return shallowReadonly(attrs);\n            },\n            slots,\n            emit\n          } : { attrs, slots, emit }\n        ) : render2(\n          !!(process.env.NODE_ENV !== \"production\") ? shallowReadonly(props) : props,\n          null\n        )\n      );\n      fallthroughAttrs = Component.props ? attrs : getFunctionalFallthrough(attrs);\n    }\n  } catch (err) {\n    blockStack.length = 0;\n    handleError(err, instance, 1);\n    result = createVNode(Comment);\n  }\n  let root = result;\n  let setRoot = void 0;\n  if (!!(process.env.NODE_ENV !== \"production\") && result.patchFlag > 0 && result.patchFlag & 2048) {\n    [root, setRoot] = getChildRoot(result);\n  }\n  if (fallthroughAttrs && inheritAttrs !== false) {\n    const keys = Object.keys(fallthroughAttrs);\n    const { shapeFlag } = root;\n    if (keys.length) {\n      if (shapeFlag & (1 | 6)) {\n        if (propsOptions && keys.some(isModelListener)) {\n          fallthroughAttrs = filterModelListeners(\n            fallthroughAttrs,\n            propsOptions\n          );\n        }\n        root = cloneVNode(root, fallthroughAttrs, false, true);\n      } else if (!!(process.env.NODE_ENV !== \"production\") && !accessedAttrs && root.type !== Comment) {\n        const allAttrs = Object.keys(attrs);\n        const eventAttrs = [];\n        const extraAttrs = [];\n        for (let i = 0, l = allAttrs.length; i < l; i++) {\n          const key = allAttrs[i];\n          if (isOn(key)) {\n            if (!isModelListener(key)) {\n              eventAttrs.push(key[2].toLowerCase() + key.slice(3));\n            }\n          } else {\n            extraAttrs.push(key);\n          }\n        }\n        if (extraAttrs.length) {\n          warn$1(\n            `Extraneous non-props attributes (${extraAttrs.join(\", \")}) were passed to component but could not be automatically inherited because component renders fragment or text root nodes.`\n          );\n        }\n        if (eventAttrs.length) {\n          warn$1(\n            `Extraneous non-emits event listeners (${eventAttrs.join(\", \")}) were passed to component but could not be automatically inherited because component renders fragment or text root nodes. If the listener is intended to be a component custom event listener only, declare it using the \"emits\" option.`\n          );\n        }\n      }\n    }\n  }\n  if (vnode.dirs) {\n    if (!!(process.env.NODE_ENV !== \"production\") && !isElementRoot(root)) {\n      warn$1(\n        `Runtime directive used on component with non-element root node. The directives will not function as intended.`\n      );\n    }\n    root = cloneVNode(root, null, false, true);\n    root.dirs = root.dirs ? root.dirs.concat(vnode.dirs) : vnode.dirs;\n  }\n  if (vnode.transition) {\n    if (!!(process.env.NODE_ENV !== \"production\") && !isElementRoot(root)) {\n      warn$1(\n        `Component inside <Transition> renders non-element root node that cannot be animated.`\n      );\n    }\n    root.transition = vnode.transition;\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") && setRoot) {\n    setRoot(root);\n  } else {\n    result = root;\n  }\n  setCurrentRenderingInstance(prev);\n  return result;\n}\nconst getChildRoot = (vnode) => {\n  const rawChildren = vnode.children;\n  const dynamicChildren = vnode.dynamicChildren;\n  const childRoot = filterSingleRoot(rawChildren, false);\n  if (!childRoot) {\n    return [vnode, void 0];\n  } else if (!!(process.env.NODE_ENV !== \"production\") && childRoot.patchFlag > 0 && childRoot.patchFlag & 2048) {\n    return getChildRoot(childRoot);\n  }\n  const index = rawChildren.indexOf(childRoot);\n  const dynamicIndex = dynamicChildren ? dynamicChildren.indexOf(childRoot) : -1;\n  const setRoot = (updatedRoot) => {\n    rawChildren[index] = updatedRoot;\n    if (dynamicChildren) {\n      if (dynamicIndex > -1) {\n        dynamicChildren[dynamicIndex] = updatedRoot;\n      } else if (updatedRoot.patchFlag > 0) {\n        vnode.dynamicChildren = [...dynamicChildren, updatedRoot];\n      }\n    }\n  };\n  return [normalizeVNode(childRoot), setRoot];\n};\nfunction filterSingleRoot(children, recurse = true) {\n  let singleRoot;\n  for (let i = 0; i < children.length; i++) {\n    const child = children[i];\n    if (isVNode(child)) {\n      if (child.type !== Comment || child.children === \"v-if\") {\n        if (singleRoot) {\n          return;\n        } else {\n          singleRoot = child;\n          if (!!(process.env.NODE_ENV !== \"production\") && recurse && singleRoot.patchFlag > 0 && singleRoot.patchFlag & 2048) {\n            return filterSingleRoot(singleRoot.children);\n          }\n        }\n      }\n    } else {\n      return;\n    }\n  }\n  return singleRoot;\n}\nconst getFunctionalFallthrough = (attrs) => {\n  let res;\n  for (const key in attrs) {\n    if (key === \"class\" || key === \"style\" || isOn(key)) {\n      (res || (res = {}))[key] = attrs[key];\n    }\n  }\n  return res;\n};\nconst filterModelListeners = (attrs, props) => {\n  const res = {};\n  for (const key in attrs) {\n    if (!isModelListener(key) || !(key.slice(9) in props)) {\n      res[key] = attrs[key];\n    }\n  }\n  return res;\n};\nconst isElementRoot = (vnode) => {\n  return vnode.shapeFlag & (6 | 1) || vnode.type === Comment;\n};\nfunction shouldUpdateComponent(prevVNode, nextVNode, optimized) {\n  const { props: prevProps, children: prevChildren, component } = prevVNode;\n  const { props: nextProps, children: nextChildren, patchFlag } = nextVNode;\n  const emits = component.emitsOptions;\n  if (!!(process.env.NODE_ENV !== \"production\") && (prevChildren || nextChildren) && isHmrUpdating) {\n    return true;\n  }\n  if (nextVNode.dirs || nextVNode.transition) {\n    return true;\n  }\n  if (optimized && patchFlag >= 0) {\n    if (patchFlag & 1024) {\n      return true;\n    }\n    if (patchFlag & 16) {\n      if (!prevProps) {\n        return !!nextProps;\n      }\n      return hasPropsChanged(prevProps, nextProps, emits);\n    } else if (patchFlag & 8) {\n      const dynamicProps = nextVNode.dynamicProps;\n      for (let i = 0; i < dynamicProps.length; i++) {\n        const key = dynamicProps[i];\n        if (nextProps[key] !== prevProps[key] && !isEmitListener(emits, key)) {\n          return true;\n        }\n      }\n    }\n  } else {\n    if (prevChildren || nextChildren) {\n      if (!nextChildren || !nextChildren.$stable) {\n        return true;\n      }\n    }\n    if (prevProps === nextProps) {\n      return false;\n    }\n    if (!prevProps) {\n      return !!nextProps;\n    }\n    if (!nextProps) {\n      return true;\n    }\n    return hasPropsChanged(prevProps, nextProps, emits);\n  }\n  return false;\n}\nfunction hasPropsChanged(prevProps, nextProps, emitsOptions) {\n  const nextKeys = Object.keys(nextProps);\n  if (nextKeys.length !== Object.keys(prevProps).length) {\n    return true;\n  }\n  for (let i = 0; i < nextKeys.length; i++) {\n    const key = nextKeys[i];\n    if (nextProps[key] !== prevProps[key] && !isEmitListener(emitsOptions, key)) {\n      return true;\n    }\n  }\n  return false;\n}\nfunction updateHOCHostEl({ vnode, parent }, el) {\n  while (parent) {\n    const root = parent.subTree;\n    if (root.suspense && root.suspense.activeBranch === vnode) {\n      root.el = vnode.el;\n    }\n    if (root === vnode) {\n      (vnode = parent.vnode).el = el;\n      parent = parent.parent;\n    } else {\n      break;\n    }\n  }\n}\n\nconst COMPONENTS = \"components\";\nconst DIRECTIVES = \"directives\";\nfunction resolveComponent(name, maybeSelfReference) {\n  return resolveAsset(COMPONENTS, name, true, maybeSelfReference) || name;\n}\nconst NULL_DYNAMIC_COMPONENT = Symbol.for(\"v-ndc\");\nfunction resolveDynamicComponent(component) {\n  if (isString(component)) {\n    return resolveAsset(COMPONENTS, component, false) || component;\n  } else {\n    return component || NULL_DYNAMIC_COMPONENT;\n  }\n}\nfunction resolveDirective(name) {\n  return resolveAsset(DIRECTIVES, name);\n}\nfunction resolveAsset(type, name, warnMissing = true, maybeSelfReference = false) {\n  const instance = currentRenderingInstance || currentInstance;\n  if (instance) {\n    const Component = instance.type;\n    if (type === COMPONENTS) {\n      const selfName = getComponentName(\n        Component,\n        false\n      );\n      if (selfName && (selfName === name || selfName === camelize(name) || selfName === capitalize(camelize(name)))) {\n        return Component;\n      }\n    }\n    const res = (\n      // local registration\n      // check instance[type] first which is resolved for options API\n      resolve(instance[type] || Component[type], name) || // global registration\n      resolve(instance.appContext[type], name)\n    );\n    if (!res && maybeSelfReference) {\n      return Component;\n    }\n    if (!!(process.env.NODE_ENV !== \"production\") && warnMissing && !res) {\n      const extra = type === COMPONENTS ? `\nIf this is a native custom element, make sure to exclude it from component resolution via compilerOptions.isCustomElement.` : ``;\n      warn$1(`Failed to resolve ${type.slice(0, -1)}: ${name}${extra}`);\n    }\n    return res;\n  } else if (!!(process.env.NODE_ENV !== \"production\")) {\n    warn$1(\n      `resolve${capitalize(type.slice(0, -1))} can only be used in render() or setup().`\n    );\n  }\n}\nfunction resolve(registry, name) {\n  return registry && (registry[name] || registry[camelize(name)] || registry[capitalize(camelize(name))]);\n}\n\nconst isSuspense = (type) => type.__isSuspense;\nlet suspenseId = 0;\nconst SuspenseImpl = {\n  name: \"Suspense\",\n  // In order to make Suspense tree-shakable, we need to avoid importing it\n  // directly in the renderer. The renderer checks for the __isSuspense flag\n  // on a vnode's type and calls the `process` method, passing in renderer\n  // internals.\n  __isSuspense: true,\n  process(n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized, rendererInternals) {\n    if (n1 == null) {\n      mountSuspense(\n        n2,\n        container,\n        anchor,\n        parentComponent,\n        parentSuspense,\n        namespace,\n        slotScopeIds,\n        optimized,\n        rendererInternals\n      );\n    } else {\n      if (parentSuspense && parentSuspense.deps > 0 && !n1.suspense.isInFallback) {\n        n2.suspense = n1.suspense;\n        n2.suspense.vnode = n2;\n        n2.el = n1.el;\n        return;\n      }\n      patchSuspense(\n        n1,\n        n2,\n        container,\n        anchor,\n        parentComponent,\n        namespace,\n        slotScopeIds,\n        optimized,\n        rendererInternals\n      );\n    }\n  },\n  hydrate: hydrateSuspense,\n  normalize: normalizeSuspenseChildren\n};\nconst Suspense = SuspenseImpl ;\nfunction triggerEvent(vnode, name) {\n  const eventListener = vnode.props && vnode.props[name];\n  if (isFunction(eventListener)) {\n    eventListener();\n  }\n}\nfunction mountSuspense(vnode, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized, rendererInternals) {\n  const {\n    p: patch,\n    o: { createElement }\n  } = rendererInternals;\n  const hiddenContainer = createElement(\"div\");\n  const suspense = vnode.suspense = createSuspenseBoundary(\n    vnode,\n    parentSuspense,\n    parentComponent,\n    container,\n    hiddenContainer,\n    anchor,\n    namespace,\n    slotScopeIds,\n    optimized,\n    rendererInternals\n  );\n  patch(\n    null,\n    suspense.pendingBranch = vnode.ssContent,\n    hiddenContainer,\n    null,\n    parentComponent,\n    suspense,\n    namespace,\n    slotScopeIds\n  );\n  if (suspense.deps > 0) {\n    triggerEvent(vnode, \"onPending\");\n    triggerEvent(vnode, \"onFallback\");\n    patch(\n      null,\n      vnode.ssFallback,\n      container,\n      anchor,\n      parentComponent,\n      null,\n      // fallback tree will not have suspense context\n      namespace,\n      slotScopeIds\n    );\n    setActiveBranch(suspense, vnode.ssFallback);\n  } else {\n    suspense.resolve(false, true);\n  }\n}\nfunction patchSuspense(n1, n2, container, anchor, parentComponent, namespace, slotScopeIds, optimized, { p: patch, um: unmount, o: { createElement } }) {\n  const suspense = n2.suspense = n1.suspense;\n  suspense.vnode = n2;\n  n2.el = n1.el;\n  const newBranch = n2.ssContent;\n  const newFallback = n2.ssFallback;\n  const { activeBranch, pendingBranch, isInFallback, isHydrating } = suspense;\n  if (pendingBranch) {\n    suspense.pendingBranch = newBranch;\n    if (isSameVNodeType(newBranch, pendingBranch)) {\n      patch(\n        pendingBranch,\n        newBranch,\n        suspense.hiddenContainer,\n        null,\n        parentComponent,\n        suspense,\n        namespace,\n        slotScopeIds,\n        optimized\n      );\n      if (suspense.deps <= 0) {\n        suspense.resolve();\n      } else if (isInFallback) {\n        if (!isHydrating) {\n          patch(\n            activeBranch,\n            newFallback,\n            container,\n            anchor,\n            parentComponent,\n            null,\n            // fallback tree will not have suspense context\n            namespace,\n            slotScopeIds,\n            optimized\n          );\n          setActiveBranch(suspense, newFallback);\n        }\n      }\n    } else {\n      suspense.pendingId = suspenseId++;\n      if (isHydrating) {\n        suspense.isHydrating = false;\n        suspense.activeBranch = pendingBranch;\n      } else {\n        unmount(pendingBranch, parentComponent, suspense);\n      }\n      suspense.deps = 0;\n      suspense.effects.length = 0;\n      suspense.hiddenContainer = createElement(\"div\");\n      if (isInFallback) {\n        patch(\n          null,\n          newBranch,\n          suspense.hiddenContainer,\n          null,\n          parentComponent,\n          suspense,\n          namespace,\n          slotScopeIds,\n          optimized\n        );\n        if (suspense.deps <= 0) {\n          suspense.resolve();\n        } else {\n          patch(\n            activeBranch,\n            newFallback,\n            container,\n            anchor,\n            parentComponent,\n            null,\n            // fallback tree will not have suspense context\n            namespace,\n            slotScopeIds,\n            optimized\n          );\n          setActiveBranch(suspense, newFallback);\n        }\n      } else if (activeBranch && isSameVNodeType(newBranch, activeBranch)) {\n        patch(\n          activeBranch,\n          newBranch,\n          container,\n          anchor,\n          parentComponent,\n          suspense,\n          namespace,\n          slotScopeIds,\n          optimized\n        );\n        suspense.resolve(true);\n      } else {\n        patch(\n          null,\n          newBranch,\n          suspense.hiddenContainer,\n          null,\n          parentComponent,\n          suspense,\n          namespace,\n          slotScopeIds,\n          optimized\n        );\n        if (suspense.deps <= 0) {\n          suspense.resolve();\n        }\n      }\n    }\n  } else {\n    if (activeBranch && isSameVNodeType(newBranch, activeBranch)) {\n      patch(\n        activeBranch,\n        newBranch,\n        container,\n        anchor,\n        parentComponent,\n        suspense,\n        namespace,\n        slotScopeIds,\n        optimized\n      );\n      setActiveBranch(suspense, newBranch);\n    } else {\n      triggerEvent(n2, \"onPending\");\n      suspense.pendingBranch = newBranch;\n      if (newBranch.shapeFlag & 512) {\n        suspense.pendingId = newBranch.component.suspenseId;\n      } else {\n        suspense.pendingId = suspenseId++;\n      }\n      patch(\n        null,\n        newBranch,\n        suspense.hiddenContainer,\n        null,\n        parentComponent,\n        suspense,\n        namespace,\n        slotScopeIds,\n        optimized\n      );\n      if (suspense.deps <= 0) {\n        suspense.resolve();\n      } else {\n        const { timeout, pendingId } = suspense;\n        if (timeout > 0) {\n          setTimeout(() => {\n            if (suspense.pendingId === pendingId) {\n              suspense.fallback(newFallback);\n            }\n          }, timeout);\n        } else if (timeout === 0) {\n          suspense.fallback(newFallback);\n        }\n      }\n    }\n  }\n}\nlet hasWarned = false;\nfunction createSuspenseBoundary(vnode, parentSuspense, parentComponent, container, hiddenContainer, anchor, namespace, slotScopeIds, optimized, rendererInternals, isHydrating = false) {\n  if (!!(process.env.NODE_ENV !== \"production\") && true && !hasWarned) {\n    hasWarned = true;\n    console[console.info ? \"info\" : \"log\"](\n      `<Suspense> is an experimental feature and its API will likely change.`\n    );\n  }\n  const {\n    p: patch,\n    m: move,\n    um: unmount,\n    n: next,\n    o: { parentNode, remove }\n  } = rendererInternals;\n  let parentSuspenseId;\n  const isSuspensible = isVNodeSuspensible(vnode);\n  if (isSuspensible) {\n    if (parentSuspense && parentSuspense.pendingBranch) {\n      parentSuspenseId = parentSuspense.pendingId;\n      parentSuspense.deps++;\n    }\n  }\n  const timeout = vnode.props ? toNumber(vnode.props.timeout) : void 0;\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    assertNumber(timeout, `Suspense timeout`);\n  }\n  const initialAnchor = anchor;\n  const suspense = {\n    vnode,\n    parent: parentSuspense,\n    parentComponent,\n    namespace,\n    container,\n    hiddenContainer,\n    deps: 0,\n    pendingId: suspenseId++,\n    timeout: typeof timeout === \"number\" ? timeout : -1,\n    activeBranch: null,\n    pendingBranch: null,\n    isInFallback: !isHydrating,\n    isHydrating,\n    isUnmounted: false,\n    effects: [],\n    resolve(resume = false, sync = false) {\n      if (!!(process.env.NODE_ENV !== \"production\")) {\n        if (!resume && !suspense.pendingBranch) {\n          throw new Error(\n            `suspense.resolve() is called without a pending branch.`\n          );\n        }\n        if (suspense.isUnmounted) {\n          throw new Error(\n            `suspense.resolve() is called on an already unmounted suspense boundary.`\n          );\n        }\n      }\n      const {\n        vnode: vnode2,\n        activeBranch,\n        pendingBranch,\n        pendingId,\n        effects,\n        parentComponent: parentComponent2,\n        container: container2\n      } = suspense;\n      let delayEnter = false;\n      if (suspense.isHydrating) {\n        suspense.isHydrating = false;\n      } else if (!resume) {\n        delayEnter = activeBranch && pendingBranch.transition && pendingBranch.transition.mode === \"out-in\";\n        if (delayEnter) {\n          activeBranch.transition.afterLeave = () => {\n            if (pendingId === suspense.pendingId) {\n              move(\n                pendingBranch,\n                container2,\n                anchor === initialAnchor ? next(activeBranch) : anchor,\n                0\n              );\n              queuePostFlushCb(effects);\n            }\n          };\n        }\n        if (activeBranch) {\n          if (parentNode(activeBranch.el) !== suspense.hiddenContainer) {\n            anchor = next(activeBranch);\n          }\n          unmount(activeBranch, parentComponent2, suspense, true);\n        }\n        if (!delayEnter) {\n          move(pendingBranch, container2, anchor, 0);\n        }\n      }\n      setActiveBranch(suspense, pendingBranch);\n      suspense.pendingBranch = null;\n      suspense.isInFallback = false;\n      let parent = suspense.parent;\n      let hasUnresolvedAncestor = false;\n      while (parent) {\n        if (parent.pendingBranch) {\n          parent.effects.push(...effects);\n          hasUnresolvedAncestor = true;\n          break;\n        }\n        parent = parent.parent;\n      }\n      if (!hasUnresolvedAncestor && !delayEnter) {\n        queuePostFlushCb(effects);\n      }\n      suspense.effects = [];\n      if (isSuspensible) {\n        if (parentSuspense && parentSuspense.pendingBranch && parentSuspenseId === parentSuspense.pendingId) {\n          parentSuspense.deps--;\n          if (parentSuspense.deps === 0 && !sync) {\n            parentSuspense.resolve();\n          }\n        }\n      }\n      triggerEvent(vnode2, \"onResolve\");\n    },\n    fallback(fallbackVNode) {\n      if (!suspense.pendingBranch) {\n        return;\n      }\n      const { vnode: vnode2, activeBranch, parentComponent: parentComponent2, container: container2, namespace: namespace2 } = suspense;\n      triggerEvent(vnode2, \"onFallback\");\n      const anchor2 = next(activeBranch);\n      const mountFallback = () => {\n        if (!suspense.isInFallback) {\n          return;\n        }\n        patch(\n          null,\n          fallbackVNode,\n          container2,\n          anchor2,\n          parentComponent2,\n          null,\n          // fallback tree will not have suspense context\n          namespace2,\n          slotScopeIds,\n          optimized\n        );\n        setActiveBranch(suspense, fallbackVNode);\n      };\n      const delayEnter = fallbackVNode.transition && fallbackVNode.transition.mode === \"out-in\";\n      if (delayEnter) {\n        activeBranch.transition.afterLeave = mountFallback;\n      }\n      suspense.isInFallback = true;\n      unmount(\n        activeBranch,\n        parentComponent2,\n        null,\n        // no suspense so unmount hooks fire now\n        true\n        // shouldRemove\n      );\n      if (!delayEnter) {\n        mountFallback();\n      }\n    },\n    move(container2, anchor2, type) {\n      suspense.activeBranch && move(suspense.activeBranch, container2, anchor2, type);\n      suspense.container = container2;\n    },\n    next() {\n      return suspense.activeBranch && next(suspense.activeBranch);\n    },\n    registerDep(instance, setupRenderEffect, optimized2) {\n      const isInPendingSuspense = !!suspense.pendingBranch;\n      if (isInPendingSuspense) {\n        suspense.deps++;\n      }\n      const hydratedEl = instance.vnode.el;\n      instance.asyncDep.catch((err) => {\n        handleError(err, instance, 0);\n      }).then((asyncSetupResult) => {\n        if (instance.isUnmounted || suspense.isUnmounted || suspense.pendingId !== instance.suspenseId) {\n          return;\n        }\n        instance.asyncResolved = true;\n        const { vnode: vnode2 } = instance;\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          pushWarningContext(vnode2);\n        }\n        handleSetupResult(instance, asyncSetupResult, false);\n        if (hydratedEl) {\n          vnode2.el = hydratedEl;\n        }\n        const placeholder = !hydratedEl && instance.subTree.el;\n        setupRenderEffect(\n          instance,\n          vnode2,\n          // component may have been moved before resolve.\n          // if this is not a hydration, instance.subTree will be the comment\n          // placeholder.\n          parentNode(hydratedEl || instance.subTree.el),\n          // anchor will not be used if this is hydration, so only need to\n          // consider the comment placeholder case.\n          hydratedEl ? null : next(instance.subTree),\n          suspense,\n          namespace,\n          optimized2\n        );\n        if (placeholder) {\n          remove(placeholder);\n        }\n        updateHOCHostEl(instance, vnode2.el);\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          popWarningContext();\n        }\n        if (isInPendingSuspense && --suspense.deps === 0) {\n          suspense.resolve();\n        }\n      });\n    },\n    unmount(parentSuspense2, doRemove) {\n      suspense.isUnmounted = true;\n      if (suspense.activeBranch) {\n        unmount(\n          suspense.activeBranch,\n          parentComponent,\n          parentSuspense2,\n          doRemove\n        );\n      }\n      if (suspense.pendingBranch) {\n        unmount(\n          suspense.pendingBranch,\n          parentComponent,\n          parentSuspense2,\n          doRemove\n        );\n      }\n    }\n  };\n  return suspense;\n}\nfunction hydrateSuspense(node, vnode, parentComponent, parentSuspense, namespace, slotScopeIds, optimized, rendererInternals, hydrateNode) {\n  const suspense = vnode.suspense = createSuspenseBoundary(\n    vnode,\n    parentSuspense,\n    parentComponent,\n    node.parentNode,\n    // eslint-disable-next-line no-restricted-globals\n    document.createElement(\"div\"),\n    null,\n    namespace,\n    slotScopeIds,\n    optimized,\n    rendererInternals,\n    true\n  );\n  const result = hydrateNode(\n    node,\n    suspense.pendingBranch = vnode.ssContent,\n    parentComponent,\n    suspense,\n    slotScopeIds,\n    optimized\n  );\n  if (suspense.deps === 0) {\n    suspense.resolve(false, true);\n  }\n  return result;\n}\nfunction normalizeSuspenseChildren(vnode) {\n  const { shapeFlag, children } = vnode;\n  const isSlotChildren = shapeFlag & 32;\n  vnode.ssContent = normalizeSuspenseSlot(\n    isSlotChildren ? children.default : children\n  );\n  vnode.ssFallback = isSlotChildren ? normalizeSuspenseSlot(children.fallback) : createVNode(Comment);\n}\nfunction normalizeSuspenseSlot(s) {\n  let block;\n  if (isFunction(s)) {\n    const trackBlock = isBlockTreeEnabled && s._c;\n    if (trackBlock) {\n      s._d = false;\n      openBlock();\n    }\n    s = s();\n    if (trackBlock) {\n      s._d = true;\n      block = currentBlock;\n      closeBlock();\n    }\n  }\n  if (isArray(s)) {\n    const singleChild = filterSingleRoot(s);\n    if (!!(process.env.NODE_ENV !== \"production\") && !singleChild && s.filter((child) => child !== NULL_DYNAMIC_COMPONENT).length > 0) {\n      warn$1(`<Suspense> slots expect a single root node.`);\n    }\n    s = singleChild;\n  }\n  s = normalizeVNode(s);\n  if (block && !s.dynamicChildren) {\n    s.dynamicChildren = block.filter((c) => c !== s);\n  }\n  return s;\n}\nfunction queueEffectWithSuspense(fn, suspense) {\n  if (suspense && suspense.pendingBranch) {\n    if (isArray(fn)) {\n      suspense.effects.push(...fn);\n    } else {\n      suspense.effects.push(fn);\n    }\n  } else {\n    queuePostFlushCb(fn);\n  }\n}\nfunction setActiveBranch(suspense, branch) {\n  suspense.activeBranch = branch;\n  const { vnode, parentComponent } = suspense;\n  let el = branch.el;\n  while (!el && branch.component) {\n    branch = branch.component.subTree;\n    el = branch.el;\n  }\n  vnode.el = el;\n  if (parentComponent && parentComponent.subTree === vnode) {\n    parentComponent.vnode.el = el;\n    updateHOCHostEl(parentComponent, el);\n  }\n}\nfunction isVNodeSuspensible(vnode) {\n  const suspensible = vnode.props && vnode.props.suspensible;\n  return suspensible != null && suspensible !== false;\n}\n\nfunction injectHook(type, hook, target = currentInstance, prepend = false) {\n  if (target) {\n    const hooks = target[type] || (target[type] = []);\n    const wrappedHook = hook.__weh || (hook.__weh = (...args) => {\n      pauseTracking();\n      const reset = setCurrentInstance(target);\n      const res = callWithAsyncErrorHandling(hook, target, type, args);\n      reset();\n      resetTracking();\n      return res;\n    });\n    if (prepend) {\n      hooks.unshift(wrappedHook);\n    } else {\n      hooks.push(wrappedHook);\n    }\n    return wrappedHook;\n  } else if (!!(process.env.NODE_ENV !== \"production\")) {\n    const apiName = toHandlerKey(ErrorTypeStrings$1[type].replace(/ hook$/, \"\"));\n    warn$1(\n      `${apiName} is called when there is no active component instance to be associated with. Lifecycle injection APIs can only be used during execution of setup().` + (` If you are using async setup(), make sure to register lifecycle hooks before the first await statement.` )\n    );\n  }\n}\nconst createHook = (lifecycle) => (hook, target = currentInstance) => {\n  if (!isInSSRComponentSetup || lifecycle === \"sp\") {\n    injectHook(lifecycle, (...args) => hook(...args), target);\n  }\n};\nconst onBeforeMount = createHook(\"bm\");\nconst onMounted = createHook(\"m\");\nconst onBeforeUpdate = createHook(\"bu\");\nconst onUpdated = createHook(\"u\");\nconst onBeforeUnmount = createHook(\"bum\");\nconst onUnmounted = createHook(\"um\");\nconst onServerPrefetch = createHook(\"sp\");\nconst onRenderTriggered = createHook(\n  \"rtg\"\n);\nconst onRenderTracked = createHook(\n  \"rtc\"\n);\nfunction onErrorCaptured(hook, target = currentInstance) {\n  injectHook(\"ec\", hook, target);\n}\n\nfunction validateDirectiveName(name) {\n  if (isBuiltInDirective(name)) {\n    warn$1(\"Do not use built-in directive ids as custom directive id: \" + name);\n  }\n}\nfunction withDirectives(vnode, directives) {\n  if (currentRenderingInstance === null) {\n    !!(process.env.NODE_ENV !== \"production\") && warn$1(`withDirectives can only be used inside render functions.`);\n    return vnode;\n  }\n  const instance = getComponentPublicInstance(currentRenderingInstance);\n  const bindings = vnode.dirs || (vnode.dirs = []);\n  for (let i = 0; i < directives.length; i++) {\n    let [dir, value, arg, modifiers = EMPTY_OBJ] = directives[i];\n    if (dir) {\n      if (isFunction(dir)) {\n        dir = {\n          mounted: dir,\n          updated: dir\n        };\n      }\n      if (dir.deep) {\n        traverse(value);\n      }\n      bindings.push({\n        dir,\n        instance,\n        value,\n        oldValue: void 0,\n        arg,\n        modifiers\n      });\n    }\n  }\n  return vnode;\n}\nfunction invokeDirectiveHook(vnode, prevVNode, instance, name) {\n  const bindings = vnode.dirs;\n  const oldBindings = prevVNode && prevVNode.dirs;\n  for (let i = 0; i < bindings.length; i++) {\n    const binding = bindings[i];\n    if (oldBindings) {\n      binding.oldValue = oldBindings[i].value;\n    }\n    let hook = binding.dir[name];\n    if (hook) {\n      pauseTracking();\n      callWithAsyncErrorHandling(hook, instance, 8, [\n        vnode.el,\n        binding,\n        vnode,\n        prevVNode\n      ]);\n      resetTracking();\n    }\n  }\n}\n\nfunction renderList(source, renderItem, cache, index) {\n  let ret;\n  const cached = cache && cache[index];\n  if (isArray(source) || isString(source)) {\n    ret = new Array(source.length);\n    for (let i = 0, l = source.length; i < l; i++) {\n      ret[i] = renderItem(source[i], i, void 0, cached && cached[i]);\n    }\n  } else if (typeof source === \"number\") {\n    if (!!(process.env.NODE_ENV !== \"production\") && !Number.isInteger(source)) {\n      warn$1(`The v-for range expect an integer value but got ${source}.`);\n    }\n    ret = new Array(source);\n    for (let i = 0; i < source; i++) {\n      ret[i] = renderItem(i + 1, i, void 0, cached && cached[i]);\n    }\n  } else if (isObject(source)) {\n    if (source[Symbol.iterator]) {\n      ret = Array.from(\n        source,\n        (item, i) => renderItem(item, i, void 0, cached && cached[i])\n      );\n    } else {\n      const keys = Object.keys(source);\n      ret = new Array(keys.length);\n      for (let i = 0, l = keys.length; i < l; i++) {\n        const key = keys[i];\n        ret[i] = renderItem(source[key], key, i, cached && cached[i]);\n      }\n    }\n  } else {\n    ret = [];\n  }\n  if (cache) {\n    cache[index] = ret;\n  }\n  return ret;\n}\n\nfunction createSlots(slots, dynamicSlots) {\n  for (let i = 0; i < dynamicSlots.length; i++) {\n    const slot = dynamicSlots[i];\n    if (isArray(slot)) {\n      for (let j = 0; j < slot.length; j++) {\n        slots[slot[j].name] = slot[j].fn;\n      }\n    } else if (slot) {\n      slots[slot.name] = slot.key ? (...args) => {\n        const res = slot.fn(...args);\n        if (res) res.key = slot.key;\n        return res;\n      } : slot.fn;\n    }\n  }\n  return slots;\n}\n\n/*! #__NO_SIDE_EFFECTS__ */\n// @__NO_SIDE_EFFECTS__\nfunction defineComponent(options, extraOptions) {\n  return isFunction(options) ? (\n    // #8326: extend call and options.name access are considered side-effects\n    // by Rollup, so we have to wrap it in a pure-annotated IIFE.\n    /* @__PURE__ */ (() => extend({ name: options.name }, extraOptions, { setup: options }))()\n  ) : options;\n}\n\nconst isAsyncWrapper = (i) => !!i.type.__asyncLoader;\n/*! #__NO_SIDE_EFFECTS__ */\n// @__NO_SIDE_EFFECTS__\nfunction defineAsyncComponent(source) {\n  if (isFunction(source)) {\n    source = { loader: source };\n  }\n  const {\n    loader,\n    loadingComponent,\n    errorComponent,\n    delay = 200,\n    timeout,\n    // undefined = never times out\n    suspensible = true,\n    onError: userOnError\n  } = source;\n  let pendingRequest = null;\n  let resolvedComp;\n  let retries = 0;\n  const retry = () => {\n    retries++;\n    pendingRequest = null;\n    return load();\n  };\n  const load = () => {\n    let thisRequest;\n    return pendingRequest || (thisRequest = pendingRequest = loader().catch((err) => {\n      err = err instanceof Error ? err : new Error(String(err));\n      if (userOnError) {\n        return new Promise((resolve, reject) => {\n          const userRetry = () => resolve(retry());\n          const userFail = () => reject(err);\n          userOnError(err, userRetry, userFail, retries + 1);\n        });\n      } else {\n        throw err;\n      }\n    }).then((comp) => {\n      if (thisRequest !== pendingRequest && pendingRequest) {\n        return pendingRequest;\n      }\n      if (!!(process.env.NODE_ENV !== \"production\") && !comp) {\n        warn$1(\n          `Async component loader resolved to undefined. If you are using retry(), make sure to return its return value.`\n        );\n      }\n      if (comp && (comp.__esModule || comp[Symbol.toStringTag] === \"Module\")) {\n        comp = comp.default;\n      }\n      if (!!(process.env.NODE_ENV !== \"production\") && comp && !isObject(comp) && !isFunction(comp)) {\n        throw new Error(`Invalid async component load result: ${comp}`);\n      }\n      resolvedComp = comp;\n      return comp;\n    }));\n  };\n  return defineComponent({\n    name: \"AsyncComponentWrapper\",\n    __asyncLoader: load,\n    get __asyncResolved() {\n      return resolvedComp;\n    },\n    setup() {\n      const instance = currentInstance;\n      if (resolvedComp) {\n        return () => createInnerComp(resolvedComp, instance);\n      }\n      const onError = (err) => {\n        pendingRequest = null;\n        handleError(\n          err,\n          instance,\n          13,\n          !errorComponent\n        );\n      };\n      if (suspensible && instance.suspense || isInSSRComponentSetup) {\n        return load().then((comp) => {\n          return () => createInnerComp(comp, instance);\n        }).catch((err) => {\n          onError(err);\n          return () => errorComponent ? createVNode(errorComponent, {\n            error: err\n          }) : null;\n        });\n      }\n      const loaded = ref(false);\n      const error = ref();\n      const delayed = ref(!!delay);\n      if (delay) {\n        setTimeout(() => {\n          delayed.value = false;\n        }, delay);\n      }\n      if (timeout != null) {\n        setTimeout(() => {\n          if (!loaded.value && !error.value) {\n            const err = new Error(\n              `Async component timed out after ${timeout}ms.`\n            );\n            onError(err);\n            error.value = err;\n          }\n        }, timeout);\n      }\n      load().then(() => {\n        loaded.value = true;\n        if (instance.parent && isKeepAlive(instance.parent.vnode)) {\n          instance.parent.effect.dirty = true;\n          queueJob(instance.parent.update);\n        }\n      }).catch((err) => {\n        onError(err);\n        error.value = err;\n      });\n      return () => {\n        if (loaded.value && resolvedComp) {\n          return createInnerComp(resolvedComp, instance);\n        } else if (error.value && errorComponent) {\n          return createVNode(errorComponent, {\n            error: error.value\n          });\n        } else if (loadingComponent && !delayed.value) {\n          return createVNode(loadingComponent);\n        }\n      };\n    }\n  });\n}\nfunction createInnerComp(comp, parent) {\n  const { ref: ref2, props, children, ce } = parent.vnode;\n  const vnode = createVNode(comp, props, children);\n  vnode.ref = ref2;\n  vnode.ce = ce;\n  delete parent.vnode.ce;\n  return vnode;\n}\n\nfunction renderSlot(slots, name, props = {}, fallback, noSlotted) {\n  if (currentRenderingInstance.isCE || currentRenderingInstance.parent && isAsyncWrapper(currentRenderingInstance.parent) && currentRenderingInstance.parent.isCE) {\n    if (name !== \"default\") props.name = name;\n    return createVNode(\"slot\", props, fallback && fallback());\n  }\n  let slot = slots[name];\n  if (!!(process.env.NODE_ENV !== \"production\") && slot && slot.length > 1) {\n    warn$1(\n      `SSR-optimized slot function detected in a non-SSR-optimized render function. You need to mark this component with $dynamic-slots in the parent template.`\n    );\n    slot = () => [];\n  }\n  if (slot && slot._c) {\n    slot._d = false;\n  }\n  openBlock();\n  const validSlotContent = slot && ensureValidVNode(slot(props));\n  const rendered = createBlock(\n    Fragment,\n    {\n      key: props.key || // slot content array of a dynamic conditional slot may have a branch\n      // key attached in the `createSlots` helper, respect that\n      validSlotContent && validSlotContent.key || `_${name}`\n    },\n    validSlotContent || (fallback ? fallback() : []),\n    validSlotContent && slots._ === 1 ? 64 : -2\n  );\n  if (!noSlotted && rendered.scopeId) {\n    rendered.slotScopeIds = [rendered.scopeId + \"-s\"];\n  }\n  if (slot && slot._c) {\n    slot._d = true;\n  }\n  return rendered;\n}\nfunction ensureValidVNode(vnodes) {\n  return vnodes.some((child) => {\n    if (!isVNode(child)) return true;\n    if (child.type === Comment) return false;\n    if (child.type === Fragment && !ensureValidVNode(child.children))\n      return false;\n    return true;\n  }) ? vnodes : null;\n}\n\nfunction toHandlers(obj, preserveCaseIfNecessary) {\n  const ret = {};\n  if (!!(process.env.NODE_ENV !== \"production\") && !isObject(obj)) {\n    warn$1(`v-on with no argument expects an object value.`);\n    return ret;\n  }\n  for (const key in obj) {\n    ret[preserveCaseIfNecessary && /[A-Z]/.test(key) ? `on:${key}` : toHandlerKey(key)] = obj[key];\n  }\n  return ret;\n}\n\nconst getPublicInstance = (i) => {\n  if (!i) return null;\n  if (isStatefulComponent(i)) return getComponentPublicInstance(i);\n  return getPublicInstance(i.parent);\n};\nconst publicPropertiesMap = (\n  // Move PURE marker to new line to workaround compiler discarding it\n  // due to type annotation\n  /* @__PURE__ */ extend(/* @__PURE__ */ Object.create(null), {\n    $: (i) => i,\n    $el: (i) => i.vnode.el,\n    $data: (i) => i.data,\n    $props: (i) => !!(process.env.NODE_ENV !== \"production\") ? shallowReadonly(i.props) : i.props,\n    $attrs: (i) => !!(process.env.NODE_ENV !== \"production\") ? shallowReadonly(i.attrs) : i.attrs,\n    $slots: (i) => !!(process.env.NODE_ENV !== \"production\") ? shallowReadonly(i.slots) : i.slots,\n    $refs: (i) => !!(process.env.NODE_ENV !== \"production\") ? shallowReadonly(i.refs) : i.refs,\n    $parent: (i) => getPublicInstance(i.parent),\n    $root: (i) => getPublicInstance(i.root),\n    $emit: (i) => i.emit,\n    $options: (i) => __VUE_OPTIONS_API__ ? resolveMergedOptions(i) : i.type,\n    $forceUpdate: (i) => i.f || (i.f = () => {\n      i.effect.dirty = true;\n      queueJob(i.update);\n    }),\n    $nextTick: (i) => i.n || (i.n = nextTick.bind(i.proxy)),\n    $watch: (i) => __VUE_OPTIONS_API__ ? instanceWatch.bind(i) : NOOP\n  })\n);\nconst isReservedPrefix = (key) => key === \"_\" || key === \"$\";\nconst hasSetupBinding = (state, key) => state !== EMPTY_OBJ && !state.__isScriptSetup && hasOwn(state, key);\nconst PublicInstanceProxyHandlers = {\n  get({ _: instance }, key) {\n    if (key === \"__v_skip\") {\n      return true;\n    }\n    const { ctx, setupState, data, props, accessCache, type, appContext } = instance;\n    if (!!(process.env.NODE_ENV !== \"production\") && key === \"__isVue\") {\n      return true;\n    }\n    let normalizedProps;\n    if (key[0] !== \"$\") {\n      const n = accessCache[key];\n      if (n !== void 0) {\n        switch (n) {\n          case 1 /* SETUP */:\n            return setupState[key];\n          case 2 /* DATA */:\n            return data[key];\n          case 4 /* CONTEXT */:\n            return ctx[key];\n          case 3 /* PROPS */:\n            return props[key];\n        }\n      } else if (hasSetupBinding(setupState, key)) {\n        accessCache[key] = 1 /* SETUP */;\n        return setupState[key];\n      } else if (data !== EMPTY_OBJ && hasOwn(data, key)) {\n        accessCache[key] = 2 /* DATA */;\n        return data[key];\n      } else if (\n        // only cache other properties when instance has declared (thus stable)\n        // props\n        (normalizedProps = instance.propsOptions[0]) && hasOwn(normalizedProps, key)\n      ) {\n        accessCache[key] = 3 /* PROPS */;\n        return props[key];\n      } else if (ctx !== EMPTY_OBJ && hasOwn(ctx, key)) {\n        accessCache[key] = 4 /* CONTEXT */;\n        return ctx[key];\n      } else if (!__VUE_OPTIONS_API__ || shouldCacheAccess) {\n        accessCache[key] = 0 /* OTHER */;\n      }\n    }\n    const publicGetter = publicPropertiesMap[key];\n    let cssModule, globalProperties;\n    if (publicGetter) {\n      if (key === \"$attrs\") {\n        track(instance.attrs, \"get\", \"\");\n        !!(process.env.NODE_ENV !== \"production\") && markAttrsAccessed();\n      } else if (!!(process.env.NODE_ENV !== \"production\") && key === \"$slots\") {\n        track(instance, \"get\", key);\n      }\n      return publicGetter(instance);\n    } else if (\n      // css module (injected by vue-loader)\n      (cssModule = type.__cssModules) && (cssModule = cssModule[key])\n    ) {\n      return cssModule;\n    } else if (ctx !== EMPTY_OBJ && hasOwn(ctx, key)) {\n      accessCache[key] = 4 /* CONTEXT */;\n      return ctx[key];\n    } else if (\n      // global properties\n      globalProperties = appContext.config.globalProperties, hasOwn(globalProperties, key)\n    ) {\n      {\n        return globalProperties[key];\n      }\n    } else if (!!(process.env.NODE_ENV !== \"production\") && currentRenderingInstance && (!isString(key) || // #1091 avoid internal isRef/isVNode checks on component instance leading\n    // to infinite warning loop\n    key.indexOf(\"__v\") !== 0)) {\n      if (data !== EMPTY_OBJ && isReservedPrefix(key[0]) && hasOwn(data, key)) {\n        warn$1(\n          `Property ${JSON.stringify(\n            key\n          )} must be accessed via $data because it starts with a reserved character (\"$\" or \"_\") and is not proxied on the render context.`\n        );\n      } else if (instance === currentRenderingInstance) {\n        warn$1(\n          `Property ${JSON.stringify(key)} was accessed during render but is not defined on instance.`\n        );\n      }\n    }\n  },\n  set({ _: instance }, key, value) {\n    const { data, setupState, ctx } = instance;\n    if (hasSetupBinding(setupState, key)) {\n      setupState[key] = value;\n      return true;\n    } else if (!!(process.env.NODE_ENV !== \"production\") && setupState.__isScriptSetup && hasOwn(setupState, key)) {\n      warn$1(`Cannot mutate <script setup> binding \"${key}\" from Options API.`);\n      return false;\n    } else if (data !== EMPTY_OBJ && hasOwn(data, key)) {\n      data[key] = value;\n      return true;\n    } else if (hasOwn(instance.props, key)) {\n      !!(process.env.NODE_ENV !== \"production\") && warn$1(`Attempting to mutate prop \"${key}\". Props are readonly.`);\n      return false;\n    }\n    if (key[0] === \"$\" && key.slice(1) in instance) {\n      !!(process.env.NODE_ENV !== \"production\") && warn$1(\n        `Attempting to mutate public property \"${key}\". Properties starting with $ are reserved and readonly.`\n      );\n      return false;\n    } else {\n      if (!!(process.env.NODE_ENV !== \"production\") && key in instance.appContext.config.globalProperties) {\n        Object.defineProperty(ctx, key, {\n          enumerable: true,\n          configurable: true,\n          value\n        });\n      } else {\n        ctx[key] = value;\n      }\n    }\n    return true;\n  },\n  has({\n    _: { data, setupState, accessCache, ctx, appContext, propsOptions }\n  }, key) {\n    let normalizedProps;\n    return !!accessCache[key] || data !== EMPTY_OBJ && hasOwn(data, key) || hasSetupBinding(setupState, key) || (normalizedProps = propsOptions[0]) && hasOwn(normalizedProps, key) || hasOwn(ctx, key) || hasOwn(publicPropertiesMap, key) || hasOwn(appContext.config.globalProperties, key);\n  },\n  defineProperty(target, key, descriptor) {\n    if (descriptor.get != null) {\n      target._.accessCache[key] = 0;\n    } else if (hasOwn(descriptor, \"value\")) {\n      this.set(target, key, descriptor.value, null);\n    }\n    return Reflect.defineProperty(target, key, descriptor);\n  }\n};\nif (!!(process.env.NODE_ENV !== \"production\") && true) {\n  PublicInstanceProxyHandlers.ownKeys = (target) => {\n    warn$1(\n      `Avoid app logic that relies on enumerating keys on a component instance. The keys will be empty in production mode to avoid performance overhead.`\n    );\n    return Reflect.ownKeys(target);\n  };\n}\nconst RuntimeCompiledPublicInstanceProxyHandlers = /* @__PURE__ */ extend(\n  {},\n  PublicInstanceProxyHandlers,\n  {\n    get(target, key) {\n      if (key === Symbol.unscopables) {\n        return;\n      }\n      return PublicInstanceProxyHandlers.get(target, key, target);\n    },\n    has(_, key) {\n      const has = key[0] !== \"_\" && !isGloballyAllowed(key);\n      if (!!(process.env.NODE_ENV !== \"production\") && !has && PublicInstanceProxyHandlers.has(_, key)) {\n        warn$1(\n          `Property ${JSON.stringify(\n            key\n          )} should not start with _ which is a reserved prefix for Vue internals.`\n        );\n      }\n      return has;\n    }\n  }\n);\nfunction createDevRenderContext(instance) {\n  const target = {};\n  Object.defineProperty(target, `_`, {\n    configurable: true,\n    enumerable: false,\n    get: () => instance\n  });\n  Object.keys(publicPropertiesMap).forEach((key) => {\n    Object.defineProperty(target, key, {\n      configurable: true,\n      enumerable: false,\n      get: () => publicPropertiesMap[key](instance),\n      // intercepted by the proxy so no need for implementation,\n      // but needed to prevent set errors\n      set: NOOP\n    });\n  });\n  return target;\n}\nfunction exposePropsOnRenderContext(instance) {\n  const {\n    ctx,\n    propsOptions: [propsOptions]\n  } = instance;\n  if (propsOptions) {\n    Object.keys(propsOptions).forEach((key) => {\n      Object.defineProperty(ctx, key, {\n        enumerable: true,\n        configurable: true,\n        get: () => instance.props[key],\n        set: NOOP\n      });\n    });\n  }\n}\nfunction exposeSetupStateOnRenderContext(instance) {\n  const { ctx, setupState } = instance;\n  Object.keys(toRaw(setupState)).forEach((key) => {\n    if (!setupState.__isScriptSetup) {\n      if (isReservedPrefix(key[0])) {\n        warn$1(\n          `setup() return property ${JSON.stringify(\n            key\n          )} should not start with \"$\" or \"_\" which are reserved prefixes for Vue internals.`\n        );\n        return;\n      }\n      Object.defineProperty(ctx, key, {\n        enumerable: true,\n        configurable: true,\n        get: () => setupState[key],\n        set: NOOP\n      });\n    }\n  });\n}\n\nconst warnRuntimeUsage = (method) => warn$1(\n  `${method}() is a compiler-hint helper that is only usable inside <script setup> of a single file component. Its arguments should be compiled away and passing it at runtime has no effect.`\n);\nfunction defineProps() {\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    warnRuntimeUsage(`defineProps`);\n  }\n  return null;\n}\nfunction defineEmits() {\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    warnRuntimeUsage(`defineEmits`);\n  }\n  return null;\n}\nfunction defineExpose(exposed) {\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    warnRuntimeUsage(`defineExpose`);\n  }\n}\nfunction defineOptions(options) {\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    warnRuntimeUsage(`defineOptions`);\n  }\n}\nfunction defineSlots() {\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    warnRuntimeUsage(`defineSlots`);\n  }\n  return null;\n}\nfunction defineModel() {\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    warnRuntimeUsage(\"defineModel\");\n  }\n}\nfunction withDefaults(props, defaults) {\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    warnRuntimeUsage(`withDefaults`);\n  }\n  return null;\n}\nfunction useSlots() {\n  return getContext().slots;\n}\nfunction useAttrs() {\n  return getContext().attrs;\n}\nfunction getContext() {\n  const i = getCurrentInstance();\n  if (!!(process.env.NODE_ENV !== \"production\") && !i) {\n    warn$1(`useContext() called without active instance.`);\n  }\n  return i.setupContext || (i.setupContext = createSetupContext(i));\n}\nfunction normalizePropsOrEmits(props) {\n  return isArray(props) ? props.reduce(\n    (normalized, p) => (normalized[p] = null, normalized),\n    {}\n  ) : props;\n}\nfunction mergeDefaults(raw, defaults) {\n  const props = normalizePropsOrEmits(raw);\n  for (const key in defaults) {\n    if (key.startsWith(\"__skip\")) continue;\n    let opt = props[key];\n    if (opt) {\n      if (isArray(opt) || isFunction(opt)) {\n        opt = props[key] = { type: opt, default: defaults[key] };\n      } else {\n        opt.default = defaults[key];\n      }\n    } else if (opt === null) {\n      opt = props[key] = { default: defaults[key] };\n    } else if (!!(process.env.NODE_ENV !== \"production\")) {\n      warn$1(`props default key \"${key}\" has no corresponding declaration.`);\n    }\n    if (opt && defaults[`__skip_${key}`]) {\n      opt.skipFactory = true;\n    }\n  }\n  return props;\n}\nfunction mergeModels(a, b) {\n  if (!a || !b) return a || b;\n  if (isArray(a) && isArray(b)) return a.concat(b);\n  return extend({}, normalizePropsOrEmits(a), normalizePropsOrEmits(b));\n}\nfunction createPropsRestProxy(props, excludedKeys) {\n  const ret = {};\n  for (const key in props) {\n    if (!excludedKeys.includes(key)) {\n      Object.defineProperty(ret, key, {\n        enumerable: true,\n        get: () => props[key]\n      });\n    }\n  }\n  return ret;\n}\nfunction withAsyncContext(getAwaitable) {\n  const ctx = getCurrentInstance();\n  if (!!(process.env.NODE_ENV !== \"production\") && !ctx) {\n    warn$1(\n      `withAsyncContext called without active current instance. This is likely a bug.`\n    );\n  }\n  let awaitable = getAwaitable();\n  unsetCurrentInstance();\n  if (isPromise(awaitable)) {\n    awaitable = awaitable.catch((e) => {\n      setCurrentInstance(ctx);\n      throw e;\n    });\n  }\n  return [awaitable, () => setCurrentInstance(ctx)];\n}\n\nfunction createDuplicateChecker() {\n  const cache = /* @__PURE__ */ Object.create(null);\n  return (type, key) => {\n    if (cache[key]) {\n      warn$1(`${type} property \"${key}\" is already defined in ${cache[key]}.`);\n    } else {\n      cache[key] = type;\n    }\n  };\n}\nlet shouldCacheAccess = true;\nfunction applyOptions(instance) {\n  const options = resolveMergedOptions(instance);\n  const publicThis = instance.proxy;\n  const ctx = instance.ctx;\n  shouldCacheAccess = false;\n  if (options.beforeCreate) {\n    callHook(options.beforeCreate, instance, \"bc\");\n  }\n  const {\n    // state\n    data: dataOptions,\n    computed: computedOptions,\n    methods,\n    watch: watchOptions,\n    provide: provideOptions,\n    inject: injectOptions,\n    // lifecycle\n    created,\n    beforeMount,\n    mounted,\n    beforeUpdate,\n    updated,\n    activated,\n    deactivated,\n    beforeDestroy,\n    beforeUnmount,\n    destroyed,\n    unmounted,\n    render,\n    renderTracked,\n    renderTriggered,\n    errorCaptured,\n    serverPrefetch,\n    // public API\n    expose,\n    inheritAttrs,\n    // assets\n    components,\n    directives,\n    filters\n  } = options;\n  const checkDuplicateProperties = !!(process.env.NODE_ENV !== \"production\") ? createDuplicateChecker() : null;\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    const [propsOptions] = instance.propsOptions;\n    if (propsOptions) {\n      for (const key in propsOptions) {\n        checkDuplicateProperties(\"Props\" /* PROPS */, key);\n      }\n    }\n  }\n  if (injectOptions) {\n    resolveInjections(injectOptions, ctx, checkDuplicateProperties);\n  }\n  if (methods) {\n    for (const key in methods) {\n      const methodHandler = methods[key];\n      if (isFunction(methodHandler)) {\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          Object.defineProperty(ctx, key, {\n            value: methodHandler.bind(publicThis),\n            configurable: true,\n            enumerable: true,\n            writable: true\n          });\n        } else {\n          ctx[key] = methodHandler.bind(publicThis);\n        }\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          checkDuplicateProperties(\"Methods\" /* METHODS */, key);\n        }\n      } else if (!!(process.env.NODE_ENV !== \"production\")) {\n        warn$1(\n          `Method \"${key}\" has type \"${typeof methodHandler}\" in the component definition. Did you reference the function correctly?`\n        );\n      }\n    }\n  }\n  if (dataOptions) {\n    if (!!(process.env.NODE_ENV !== \"production\") && !isFunction(dataOptions)) {\n      warn$1(\n        `The data option must be a function. Plain object usage is no longer supported.`\n      );\n    }\n    const data = dataOptions.call(publicThis, publicThis);\n    if (!!(process.env.NODE_ENV !== \"production\") && isPromise(data)) {\n      warn$1(\n        `data() returned a Promise - note data() cannot be async; If you intend to perform data fetching before component renders, use async setup() + <Suspense>.`\n      );\n    }\n    if (!isObject(data)) {\n      !!(process.env.NODE_ENV !== \"production\") && warn$1(`data() should return an object.`);\n    } else {\n      instance.data = reactive(data);\n      if (!!(process.env.NODE_ENV !== \"production\")) {\n        for (const key in data) {\n          checkDuplicateProperties(\"Data\" /* DATA */, key);\n          if (!isReservedPrefix(key[0])) {\n            Object.defineProperty(ctx, key, {\n              configurable: true,\n              enumerable: true,\n              get: () => data[key],\n              set: NOOP\n            });\n          }\n        }\n      }\n    }\n  }\n  shouldCacheAccess = true;\n  if (computedOptions) {\n    for (const key in computedOptions) {\n      const opt = computedOptions[key];\n      const get = isFunction(opt) ? opt.bind(publicThis, publicThis) : isFunction(opt.get) ? opt.get.bind(publicThis, publicThis) : NOOP;\n      if (!!(process.env.NODE_ENV !== \"production\") && get === NOOP) {\n        warn$1(`Computed property \"${key}\" has no getter.`);\n      }\n      const set = !isFunction(opt) && isFunction(opt.set) ? opt.set.bind(publicThis) : !!(process.env.NODE_ENV !== \"production\") ? () => {\n        warn$1(\n          `Write operation failed: computed property \"${key}\" is readonly.`\n        );\n      } : NOOP;\n      const c = computed({\n        get,\n        set\n      });\n      Object.defineProperty(ctx, key, {\n        enumerable: true,\n        configurable: true,\n        get: () => c.value,\n        set: (v) => c.value = v\n      });\n      if (!!(process.env.NODE_ENV !== \"production\")) {\n        checkDuplicateProperties(\"Computed\" /* COMPUTED */, key);\n      }\n    }\n  }\n  if (watchOptions) {\n    for (const key in watchOptions) {\n      createWatcher(watchOptions[key], ctx, publicThis, key);\n    }\n  }\n  if (provideOptions) {\n    const provides = isFunction(provideOptions) ? provideOptions.call(publicThis) : provideOptions;\n    Reflect.ownKeys(provides).forEach((key) => {\n      provide(key, provides[key]);\n    });\n  }\n  if (created) {\n    callHook(created, instance, \"c\");\n  }\n  function registerLifecycleHook(register, hook) {\n    if (isArray(hook)) {\n      hook.forEach((_hook) => register(_hook.bind(publicThis)));\n    } else if (hook) {\n      register(hook.bind(publicThis));\n    }\n  }\n  registerLifecycleHook(onBeforeMount, beforeMount);\n  registerLifecycleHook(onMounted, mounted);\n  registerLifecycleHook(onBeforeUpdate, beforeUpdate);\n  registerLifecycleHook(onUpdated, updated);\n  registerLifecycleHook(onActivated, activated);\n  registerLifecycleHook(onDeactivated, deactivated);\n  registerLifecycleHook(onErrorCaptured, errorCaptured);\n  registerLifecycleHook(onRenderTracked, renderTracked);\n  registerLifecycleHook(onRenderTriggered, renderTriggered);\n  registerLifecycleHook(onBeforeUnmount, beforeUnmount);\n  registerLifecycleHook(onUnmounted, unmounted);\n  registerLifecycleHook(onServerPrefetch, serverPrefetch);\n  if (isArray(expose)) {\n    if (expose.length) {\n      const exposed = instance.exposed || (instance.exposed = {});\n      expose.forEach((key) => {\n        Object.defineProperty(exposed, key, {\n          get: () => publicThis[key],\n          set: (val) => publicThis[key] = val\n        });\n      });\n    } else if (!instance.exposed) {\n      instance.exposed = {};\n    }\n  }\n  if (render && instance.render === NOOP) {\n    instance.render = render;\n  }\n  if (inheritAttrs != null) {\n    instance.inheritAttrs = inheritAttrs;\n  }\n  if (components) instance.components = components;\n  if (directives) instance.directives = directives;\n}\nfunction resolveInjections(injectOptions, ctx, checkDuplicateProperties = NOOP) {\n  if (isArray(injectOptions)) {\n    injectOptions = normalizeInject(injectOptions);\n  }\n  for (const key in injectOptions) {\n    const opt = injectOptions[key];\n    let injected;\n    if (isObject(opt)) {\n      if (\"default\" in opt) {\n        injected = inject(\n          opt.from || key,\n          opt.default,\n          true\n        );\n      } else {\n        injected = inject(opt.from || key);\n      }\n    } else {\n      injected = inject(opt);\n    }\n    if (isRef(injected)) {\n      Object.defineProperty(ctx, key, {\n        enumerable: true,\n        configurable: true,\n        get: () => injected.value,\n        set: (v) => injected.value = v\n      });\n    } else {\n      ctx[key] = injected;\n    }\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      checkDuplicateProperties(\"Inject\" /* INJECT */, key);\n    }\n  }\n}\nfunction callHook(hook, instance, type) {\n  callWithAsyncErrorHandling(\n    isArray(hook) ? hook.map((h) => h.bind(instance.proxy)) : hook.bind(instance.proxy),\n    instance,\n    type\n  );\n}\nfunction createWatcher(raw, ctx, publicThis, key) {\n  const getter = key.includes(\".\") ? createPathGetter(publicThis, key) : () => publicThis[key];\n  if (isString(raw)) {\n    const handler = ctx[raw];\n    if (isFunction(handler)) {\n      watch(getter, handler);\n    } else if (!!(process.env.NODE_ENV !== \"production\")) {\n      warn$1(`Invalid watch handler specified by key \"${raw}\"`, handler);\n    }\n  } else if (isFunction(raw)) {\n    watch(getter, raw.bind(publicThis));\n  } else if (isObject(raw)) {\n    if (isArray(raw)) {\n      raw.forEach((r) => createWatcher(r, ctx, publicThis, key));\n    } else {\n      const handler = isFunction(raw.handler) ? raw.handler.bind(publicThis) : ctx[raw.handler];\n      if (isFunction(handler)) {\n        watch(getter, handler, raw);\n      } else if (!!(process.env.NODE_ENV !== \"production\")) {\n        warn$1(`Invalid watch handler specified by key \"${raw.handler}\"`, handler);\n      }\n    }\n  } else if (!!(process.env.NODE_ENV !== \"production\")) {\n    warn$1(`Invalid watch option: \"${key}\"`, raw);\n  }\n}\nfunction resolveMergedOptions(instance) {\n  const base = instance.type;\n  const { mixins, extends: extendsOptions } = base;\n  const {\n    mixins: globalMixins,\n    optionsCache: cache,\n    config: { optionMergeStrategies }\n  } = instance.appContext;\n  const cached = cache.get(base);\n  let resolved;\n  if (cached) {\n    resolved = cached;\n  } else if (!globalMixins.length && !mixins && !extendsOptions) {\n    {\n      resolved = base;\n    }\n  } else {\n    resolved = {};\n    if (globalMixins.length) {\n      globalMixins.forEach(\n        (m) => mergeOptions(resolved, m, optionMergeStrategies, true)\n      );\n    }\n    mergeOptions(resolved, base, optionMergeStrategies);\n  }\n  if (isObject(base)) {\n    cache.set(base, resolved);\n  }\n  return resolved;\n}\nfunction mergeOptions(to, from, strats, asMixin = false) {\n  const { mixins, extends: extendsOptions } = from;\n  if (extendsOptions) {\n    mergeOptions(to, extendsOptions, strats, true);\n  }\n  if (mixins) {\n    mixins.forEach(\n      (m) => mergeOptions(to, m, strats, true)\n    );\n  }\n  for (const key in from) {\n    if (asMixin && key === \"expose\") {\n      !!(process.env.NODE_ENV !== \"production\") && warn$1(\n        `\"expose\" option is ignored when declared in mixins or extends. It should only be declared in the base component itself.`\n      );\n    } else {\n      const strat = internalOptionMergeStrats[key] || strats && strats[key];\n      to[key] = strat ? strat(to[key], from[key]) : from[key];\n    }\n  }\n  return to;\n}\nconst internalOptionMergeStrats = {\n  data: mergeDataFn,\n  props: mergeEmitsOrPropsOptions,\n  emits: mergeEmitsOrPropsOptions,\n  // objects\n  methods: mergeObjectOptions,\n  computed: mergeObjectOptions,\n  // lifecycle\n  beforeCreate: mergeAsArray,\n  created: mergeAsArray,\n  beforeMount: mergeAsArray,\n  mounted: mergeAsArray,\n  beforeUpdate: mergeAsArray,\n  updated: mergeAsArray,\n  beforeDestroy: mergeAsArray,\n  beforeUnmount: mergeAsArray,\n  destroyed: mergeAsArray,\n  unmounted: mergeAsArray,\n  activated: mergeAsArray,\n  deactivated: mergeAsArray,\n  errorCaptured: mergeAsArray,\n  serverPrefetch: mergeAsArray,\n  // assets\n  components: mergeObjectOptions,\n  directives: mergeObjectOptions,\n  // watch\n  watch: mergeWatchOptions,\n  // provide / inject\n  provide: mergeDataFn,\n  inject: mergeInject\n};\nfunction mergeDataFn(to, from) {\n  if (!from) {\n    return to;\n  }\n  if (!to) {\n    return from;\n  }\n  return function mergedDataFn() {\n    return (extend)(\n      isFunction(to) ? to.call(this, this) : to,\n      isFunction(from) ? from.call(this, this) : from\n    );\n  };\n}\nfunction mergeInject(to, from) {\n  return mergeObjectOptions(normalizeInject(to), normalizeInject(from));\n}\nfunction normalizeInject(raw) {\n  if (isArray(raw)) {\n    const res = {};\n    for (let i = 0; i < raw.length; i++) {\n      res[raw[i]] = raw[i];\n    }\n    return res;\n  }\n  return raw;\n}\nfunction mergeAsArray(to, from) {\n  return to ? [...new Set([].concat(to, from))] : from;\n}\nfunction mergeObjectOptions(to, from) {\n  return to ? extend(/* @__PURE__ */ Object.create(null), to, from) : from;\n}\nfunction mergeEmitsOrPropsOptions(to, from) {\n  if (to) {\n    if (isArray(to) && isArray(from)) {\n      return [.../* @__PURE__ */ new Set([...to, ...from])];\n    }\n    return extend(\n      /* @__PURE__ */ Object.create(null),\n      normalizePropsOrEmits(to),\n      normalizePropsOrEmits(from != null ? from : {})\n    );\n  } else {\n    return from;\n  }\n}\nfunction mergeWatchOptions(to, from) {\n  if (!to) return from;\n  if (!from) return to;\n  const merged = extend(/* @__PURE__ */ Object.create(null), to);\n  for (const key in from) {\n    merged[key] = mergeAsArray(to[key], from[key]);\n  }\n  return merged;\n}\n\nfunction createAppContext() {\n  return {\n    app: null,\n    config: {\n      isNativeTag: NO,\n      performance: false,\n      globalProperties: {},\n      optionMergeStrategies: {},\n      errorHandler: void 0,\n      warnHandler: void 0,\n      compilerOptions: {}\n    },\n    mixins: [],\n    components: {},\n    directives: {},\n    provides: /* @__PURE__ */ Object.create(null),\n    optionsCache: /* @__PURE__ */ new WeakMap(),\n    propsCache: /* @__PURE__ */ new WeakMap(),\n    emitsCache: /* @__PURE__ */ new WeakMap()\n  };\n}\nlet uid$1 = 0;\nfunction createAppAPI(render, hydrate) {\n  return function createApp(rootComponent, rootProps = null) {\n    if (!isFunction(rootComponent)) {\n      rootComponent = extend({}, rootComponent);\n    }\n    if (rootProps != null && !isObject(rootProps)) {\n      !!(process.env.NODE_ENV !== \"production\") && warn$1(`root props passed to app.mount() must be an object.`);\n      rootProps = null;\n    }\n    const context = createAppContext();\n    const installedPlugins = /* @__PURE__ */ new WeakSet();\n    let isMounted = false;\n    const app = context.app = {\n      _uid: uid$1++,\n      _component: rootComponent,\n      _props: rootProps,\n      _container: null,\n      _context: context,\n      _instance: null,\n      version,\n      get config() {\n        return context.config;\n      },\n      set config(v) {\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          warn$1(\n            `app.config cannot be replaced. Modify individual options instead.`\n          );\n        }\n      },\n      use(plugin, ...options) {\n        if (installedPlugins.has(plugin)) {\n          !!(process.env.NODE_ENV !== \"production\") && warn$1(`Plugin has already been applied to target app.`);\n        } else if (plugin && isFunction(plugin.install)) {\n          installedPlugins.add(plugin);\n          plugin.install(app, ...options);\n        } else if (isFunction(plugin)) {\n          installedPlugins.add(plugin);\n          plugin(app, ...options);\n        } else if (!!(process.env.NODE_ENV !== \"production\")) {\n          warn$1(\n            `A plugin must either be a function or an object with an \"install\" function.`\n          );\n        }\n        return app;\n      },\n      mixin(mixin) {\n        if (__VUE_OPTIONS_API__) {\n          if (!context.mixins.includes(mixin)) {\n            context.mixins.push(mixin);\n          } else if (!!(process.env.NODE_ENV !== \"production\")) {\n            warn$1(\n              \"Mixin has already been applied to target app\" + (mixin.name ? `: ${mixin.name}` : \"\")\n            );\n          }\n        } else if (!!(process.env.NODE_ENV !== \"production\")) {\n          warn$1(\"Mixins are only available in builds supporting Options API\");\n        }\n        return app;\n      },\n      component(name, component) {\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          validateComponentName(name, context.config);\n        }\n        if (!component) {\n          return context.components[name];\n        }\n        if (!!(process.env.NODE_ENV !== \"production\") && context.components[name]) {\n          warn$1(`Component \"${name}\" has already been registered in target app.`);\n        }\n        context.components[name] = component;\n        return app;\n      },\n      directive(name, directive) {\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          validateDirectiveName(name);\n        }\n        if (!directive) {\n          return context.directives[name];\n        }\n        if (!!(process.env.NODE_ENV !== \"production\") && context.directives[name]) {\n          warn$1(`Directive \"${name}\" has already been registered in target app.`);\n        }\n        context.directives[name] = directive;\n        return app;\n      },\n      mount(rootContainer, isHydrate, namespace) {\n        if (!isMounted) {\n          if (!!(process.env.NODE_ENV !== \"production\") && rootContainer.__vue_app__) {\n            warn$1(\n              `There is already an app instance mounted on the host container.\n If you want to mount another app on the same host container, you need to unmount the previous app by calling \\`app.unmount()\\` first.`\n            );\n          }\n          const vnode = createVNode(rootComponent, rootProps);\n          vnode.appContext = context;\n          if (namespace === true) {\n            namespace = \"svg\";\n          } else if (namespace === false) {\n            namespace = void 0;\n          }\n          if (!!(process.env.NODE_ENV !== \"production\")) {\n            context.reload = () => {\n              render(\n                cloneVNode(vnode),\n                rootContainer,\n                namespace\n              );\n            };\n          }\n          if (isHydrate && hydrate) {\n            hydrate(vnode, rootContainer);\n          } else {\n            render(vnode, rootContainer, namespace);\n          }\n          isMounted = true;\n          app._container = rootContainer;\n          rootContainer.__vue_app__ = app;\n          if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n            app._instance = vnode.component;\n            devtoolsInitApp(app, version);\n          }\n          return getComponentPublicInstance(vnode.component);\n        } else if (!!(process.env.NODE_ENV !== \"production\")) {\n          warn$1(\n            `App has already been mounted.\nIf you want to remount the same app, move your app creation logic into a factory function and create fresh app instances for each mount - e.g. \\`const createMyApp = () => createApp(App)\\``\n          );\n        }\n      },\n      unmount() {\n        if (isMounted) {\n          render(null, app._container);\n          if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n            app._instance = null;\n            devtoolsUnmountApp(app);\n          }\n          delete app._container.__vue_app__;\n        } else if (!!(process.env.NODE_ENV !== \"production\")) {\n          warn$1(`Cannot unmount an app that is not mounted.`);\n        }\n      },\n      provide(key, value) {\n        if (!!(process.env.NODE_ENV !== \"production\") && key in context.provides) {\n          warn$1(\n            `App already provides property with key \"${String(key)}\". It will be overwritten with the new value.`\n          );\n        }\n        context.provides[key] = value;\n        return app;\n      },\n      runWithContext(fn) {\n        const lastApp = currentApp;\n        currentApp = app;\n        try {\n          return fn();\n        } finally {\n          currentApp = lastApp;\n        }\n      }\n    };\n    return app;\n  };\n}\nlet currentApp = null;\n\nfunction provide(key, value) {\n  if (!currentInstance) {\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      warn$1(`provide() can only be used inside setup().`);\n    }\n  } else {\n    let provides = currentInstance.provides;\n    const parentProvides = currentInstance.parent && currentInstance.parent.provides;\n    if (parentProvides === provides) {\n      provides = currentInstance.provides = Object.create(parentProvides);\n    }\n    provides[key] = value;\n  }\n}\nfunction inject(key, defaultValue, treatDefaultAsFactory = false) {\n  const instance = currentInstance || currentRenderingInstance;\n  if (instance || currentApp) {\n    const provides = instance ? instance.parent == null ? instance.vnode.appContext && instance.vnode.appContext.provides : instance.parent.provides : currentApp._context.provides;\n    if (provides && key in provides) {\n      return provides[key];\n    } else if (arguments.length > 1) {\n      return treatDefaultAsFactory && isFunction(defaultValue) ? defaultValue.call(instance && instance.proxy) : defaultValue;\n    } else if (!!(process.env.NODE_ENV !== \"production\")) {\n      warn$1(`injection \"${String(key)}\" not found.`);\n    }\n  } else if (!!(process.env.NODE_ENV !== \"production\")) {\n    warn$1(`inject() can only be used inside setup() or functional components.`);\n  }\n}\nfunction hasInjectionContext() {\n  return !!(currentInstance || currentRenderingInstance || currentApp);\n}\n\nconst internalObjectProto = {};\nconst createInternalObject = () => Object.create(internalObjectProto);\nconst isInternalObject = (obj) => Object.getPrototypeOf(obj) === internalObjectProto;\n\nfunction initProps(instance, rawProps, isStateful, isSSR = false) {\n  const props = {};\n  const attrs = createInternalObject();\n  instance.propsDefaults = /* @__PURE__ */ Object.create(null);\n  setFullProps(instance, rawProps, props, attrs);\n  for (const key in instance.propsOptions[0]) {\n    if (!(key in props)) {\n      props[key] = void 0;\n    }\n  }\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    validateProps(rawProps || {}, props, instance);\n  }\n  if (isStateful) {\n    instance.props = isSSR ? props : shallowReactive(props);\n  } else {\n    if (!instance.type.props) {\n      instance.props = attrs;\n    } else {\n      instance.props = props;\n    }\n  }\n  instance.attrs = attrs;\n}\nfunction isInHmrContext(instance) {\n  while (instance) {\n    if (instance.type.__hmrId) return true;\n    instance = instance.parent;\n  }\n}\nfunction updateProps(instance, rawProps, rawPrevProps, optimized) {\n  const {\n    props,\n    attrs,\n    vnode: { patchFlag }\n  } = instance;\n  const rawCurrentProps = toRaw(props);\n  const [options] = instance.propsOptions;\n  let hasAttrsChanged = false;\n  if (\n    // always force full diff in dev\n    // - #1942 if hmr is enabled with sfc component\n    // - vite#872 non-sfc component used by sfc component\n    !(!!(process.env.NODE_ENV !== \"production\") && isInHmrContext(instance)) && (optimized || patchFlag > 0) && !(patchFlag & 16)\n  ) {\n    if (patchFlag & 8) {\n      const propsToUpdate = instance.vnode.dynamicProps;\n      for (let i = 0; i < propsToUpdate.length; i++) {\n        let key = propsToUpdate[i];\n        if (isEmitListener(instance.emitsOptions, key)) {\n          continue;\n        }\n        const value = rawProps[key];\n        if (options) {\n          if (hasOwn(attrs, key)) {\n            if (value !== attrs[key]) {\n              attrs[key] = value;\n              hasAttrsChanged = true;\n            }\n          } else {\n            const camelizedKey = camelize(key);\n            props[camelizedKey] = resolvePropValue(\n              options,\n              rawCurrentProps,\n              camelizedKey,\n              value,\n              instance,\n              false\n            );\n          }\n        } else {\n          if (value !== attrs[key]) {\n            attrs[key] = value;\n            hasAttrsChanged = true;\n          }\n        }\n      }\n    }\n  } else {\n    if (setFullProps(instance, rawProps, props, attrs)) {\n      hasAttrsChanged = true;\n    }\n    let kebabKey;\n    for (const key in rawCurrentProps) {\n      if (!rawProps || // for camelCase\n      !hasOwn(rawProps, key) && // it's possible the original props was passed in as kebab-case\n      // and converted to camelCase (#955)\n      ((kebabKey = hyphenate(key)) === key || !hasOwn(rawProps, kebabKey))) {\n        if (options) {\n          if (rawPrevProps && // for camelCase\n          (rawPrevProps[key] !== void 0 || // for kebab-case\n          rawPrevProps[kebabKey] !== void 0)) {\n            props[key] = resolvePropValue(\n              options,\n              rawCurrentProps,\n              key,\n              void 0,\n              instance,\n              true\n            );\n          }\n        } else {\n          delete props[key];\n        }\n      }\n    }\n    if (attrs !== rawCurrentProps) {\n      for (const key in attrs) {\n        if (!rawProps || !hasOwn(rawProps, key) && true) {\n          delete attrs[key];\n          hasAttrsChanged = true;\n        }\n      }\n    }\n  }\n  if (hasAttrsChanged) {\n    trigger(instance.attrs, \"set\", \"\");\n  }\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    validateProps(rawProps || {}, props, instance);\n  }\n}\nfunction setFullProps(instance, rawProps, props, attrs) {\n  const [options, needCastKeys] = instance.propsOptions;\n  let hasAttrsChanged = false;\n  let rawCastValues;\n  if (rawProps) {\n    for (let key in rawProps) {\n      if (isReservedProp(key)) {\n        continue;\n      }\n      const value = rawProps[key];\n      let camelKey;\n      if (options && hasOwn(options, camelKey = camelize(key))) {\n        if (!needCastKeys || !needCastKeys.includes(camelKey)) {\n          props[camelKey] = value;\n        } else {\n          (rawCastValues || (rawCastValues = {}))[camelKey] = value;\n        }\n      } else if (!isEmitListener(instance.emitsOptions, key)) {\n        if (!(key in attrs) || value !== attrs[key]) {\n          attrs[key] = value;\n          hasAttrsChanged = true;\n        }\n      }\n    }\n  }\n  if (needCastKeys) {\n    const rawCurrentProps = toRaw(props);\n    const castValues = rawCastValues || EMPTY_OBJ;\n    for (let i = 0; i < needCastKeys.length; i++) {\n      const key = needCastKeys[i];\n      props[key] = resolvePropValue(\n        options,\n        rawCurrentProps,\n        key,\n        castValues[key],\n        instance,\n        !hasOwn(castValues, key)\n      );\n    }\n  }\n  return hasAttrsChanged;\n}\nfunction resolvePropValue(options, props, key, value, instance, isAbsent) {\n  const opt = options[key];\n  if (opt != null) {\n    const hasDefault = hasOwn(opt, \"default\");\n    if (hasDefault && value === void 0) {\n      const defaultValue = opt.default;\n      if (opt.type !== Function && !opt.skipFactory && isFunction(defaultValue)) {\n        const { propsDefaults } = instance;\n        if (key in propsDefaults) {\n          value = propsDefaults[key];\n        } else {\n          const reset = setCurrentInstance(instance);\n          value = propsDefaults[key] = defaultValue.call(\n            null,\n            props\n          );\n          reset();\n        }\n      } else {\n        value = defaultValue;\n      }\n    }\n    if (opt[0 /* shouldCast */]) {\n      if (isAbsent && !hasDefault) {\n        value = false;\n      } else if (opt[1 /* shouldCastTrue */] && (value === \"\" || value === hyphenate(key))) {\n        value = true;\n      }\n    }\n  }\n  return value;\n}\nfunction normalizePropsOptions(comp, appContext, asMixin = false) {\n  const cache = appContext.propsCache;\n  const cached = cache.get(comp);\n  if (cached) {\n    return cached;\n  }\n  const raw = comp.props;\n  const normalized = {};\n  const needCastKeys = [];\n  let hasExtends = false;\n  if (__VUE_OPTIONS_API__ && !isFunction(comp)) {\n    const extendProps = (raw2) => {\n      hasExtends = true;\n      const [props, keys] = normalizePropsOptions(raw2, appContext, true);\n      extend(normalized, props);\n      if (keys) needCastKeys.push(...keys);\n    };\n    if (!asMixin && appContext.mixins.length) {\n      appContext.mixins.forEach(extendProps);\n    }\n    if (comp.extends) {\n      extendProps(comp.extends);\n    }\n    if (comp.mixins) {\n      comp.mixins.forEach(extendProps);\n    }\n  }\n  if (!raw && !hasExtends) {\n    if (isObject(comp)) {\n      cache.set(comp, EMPTY_ARR);\n    }\n    return EMPTY_ARR;\n  }\n  if (isArray(raw)) {\n    for (let i = 0; i < raw.length; i++) {\n      if (!!(process.env.NODE_ENV !== \"production\") && !isString(raw[i])) {\n        warn$1(`props must be strings when using array syntax.`, raw[i]);\n      }\n      const normalizedKey = camelize(raw[i]);\n      if (validatePropName(normalizedKey)) {\n        normalized[normalizedKey] = EMPTY_OBJ;\n      }\n    }\n  } else if (raw) {\n    if (!!(process.env.NODE_ENV !== \"production\") && !isObject(raw)) {\n      warn$1(`invalid props options`, raw);\n    }\n    for (const key in raw) {\n      const normalizedKey = camelize(key);\n      if (validatePropName(normalizedKey)) {\n        const opt = raw[key];\n        const prop = normalized[normalizedKey] = isArray(opt) || isFunction(opt) ? { type: opt } : extend({}, opt);\n        if (prop) {\n          const booleanIndex = getTypeIndex(Boolean, prop.type);\n          const stringIndex = getTypeIndex(String, prop.type);\n          prop[0 /* shouldCast */] = booleanIndex > -1;\n          prop[1 /* shouldCastTrue */] = stringIndex < 0 || booleanIndex < stringIndex;\n          if (booleanIndex > -1 || hasOwn(prop, \"default\")) {\n            needCastKeys.push(normalizedKey);\n          }\n        }\n      }\n    }\n  }\n  const res = [normalized, needCastKeys];\n  if (isObject(comp)) {\n    cache.set(comp, res);\n  }\n  return res;\n}\nfunction validatePropName(key) {\n  if (key[0] !== \"$\" && !isReservedProp(key)) {\n    return true;\n  } else if (!!(process.env.NODE_ENV !== \"production\")) {\n    warn$1(`Invalid prop name: \"${key}\" is a reserved property.`);\n  }\n  return false;\n}\nfunction getType(ctor) {\n  if (ctor === null) {\n    return \"null\";\n  }\n  if (typeof ctor === \"function\") {\n    return ctor.name || \"\";\n  } else if (typeof ctor === \"object\") {\n    const name = ctor.constructor && ctor.constructor.name;\n    return name || \"\";\n  }\n  return \"\";\n}\nfunction isSameType(a, b) {\n  return getType(a) === getType(b);\n}\nfunction getTypeIndex(type, expectedTypes) {\n  if (isArray(expectedTypes)) {\n    return expectedTypes.findIndex((t) => isSameType(t, type));\n  } else if (isFunction(expectedTypes)) {\n    return isSameType(expectedTypes, type) ? 0 : -1;\n  }\n  return -1;\n}\nfunction validateProps(rawProps, props, instance) {\n  const resolvedValues = toRaw(props);\n  const options = instance.propsOptions[0];\n  for (const key in options) {\n    let opt = options[key];\n    if (opt == null) continue;\n    validateProp(\n      key,\n      resolvedValues[key],\n      opt,\n      !!(process.env.NODE_ENV !== \"production\") ? shallowReadonly(resolvedValues) : resolvedValues,\n      !hasOwn(rawProps, key) && !hasOwn(rawProps, hyphenate(key))\n    );\n  }\n}\nfunction validateProp(name, value, prop, props, isAbsent) {\n  const { type, required, validator, skipCheck } = prop;\n  if (required && isAbsent) {\n    warn$1('Missing required prop: \"' + name + '\"');\n    return;\n  }\n  if (value == null && !required) {\n    return;\n  }\n  if (type != null && type !== true && !skipCheck) {\n    let isValid = false;\n    const types = isArray(type) ? type : [type];\n    const expectedTypes = [];\n    for (let i = 0; i < types.length && !isValid; i++) {\n      const { valid, expectedType } = assertType(value, types[i]);\n      expectedTypes.push(expectedType || \"\");\n      isValid = valid;\n    }\n    if (!isValid) {\n      warn$1(getInvalidTypeMessage(name, value, expectedTypes));\n      return;\n    }\n  }\n  if (validator && !validator(value, props)) {\n    warn$1('Invalid prop: custom validator check failed for prop \"' + name + '\".');\n  }\n}\nconst isSimpleType = /* @__PURE__ */ makeMap(\n  \"String,Number,Boolean,Function,Symbol,BigInt\"\n);\nfunction assertType(value, type) {\n  let valid;\n  const expectedType = getType(type);\n  if (isSimpleType(expectedType)) {\n    const t = typeof value;\n    valid = t === expectedType.toLowerCase();\n    if (!valid && t === \"object\") {\n      valid = value instanceof type;\n    }\n  } else if (expectedType === \"Object\") {\n    valid = isObject(value);\n  } else if (expectedType === \"Array\") {\n    valid = isArray(value);\n  } else if (expectedType === \"null\") {\n    valid = value === null;\n  } else {\n    valid = value instanceof type;\n  }\n  return {\n    valid,\n    expectedType\n  };\n}\nfunction getInvalidTypeMessage(name, value, expectedTypes) {\n  if (expectedTypes.length === 0) {\n    return `Prop type [] for prop \"${name}\" won't match anything. Did you mean to use type Array instead?`;\n  }\n  let message = `Invalid prop: type check failed for prop \"${name}\". Expected ${expectedTypes.map(capitalize).join(\" | \")}`;\n  const expectedType = expectedTypes[0];\n  const receivedType = toRawType(value);\n  const expectedValue = styleValue(value, expectedType);\n  const receivedValue = styleValue(value, receivedType);\n  if (expectedTypes.length === 1 && isExplicable(expectedType) && !isBoolean(expectedType, receivedType)) {\n    message += ` with value ${expectedValue}`;\n  }\n  message += `, got ${receivedType} `;\n  if (isExplicable(receivedType)) {\n    message += `with value ${receivedValue}.`;\n  }\n  return message;\n}\nfunction styleValue(value, type) {\n  if (type === \"String\") {\n    return `\"${value}\"`;\n  } else if (type === \"Number\") {\n    return `${Number(value)}`;\n  } else {\n    return `${value}`;\n  }\n}\nfunction isExplicable(type) {\n  const explicitTypes = [\"string\", \"number\", \"boolean\"];\n  return explicitTypes.some((elem) => type.toLowerCase() === elem);\n}\nfunction isBoolean(...args) {\n  return args.some((elem) => elem.toLowerCase() === \"boolean\");\n}\n\nconst isInternalKey = (key) => key[0] === \"_\" || key === \"$stable\";\nconst normalizeSlotValue = (value) => isArray(value) ? value.map(normalizeVNode) : [normalizeVNode(value)];\nconst normalizeSlot = (key, rawSlot, ctx) => {\n  if (rawSlot._n) {\n    return rawSlot;\n  }\n  const normalized = withCtx((...args) => {\n    if (!!(process.env.NODE_ENV !== \"production\") && currentInstance && (!ctx || ctx.root === currentInstance.root)) {\n      warn$1(\n        `Slot \"${key}\" invoked outside of the render function: this will not track dependencies used in the slot. Invoke the slot function inside the render function instead.`\n      );\n    }\n    return normalizeSlotValue(rawSlot(...args));\n  }, ctx);\n  normalized._c = false;\n  return normalized;\n};\nconst normalizeObjectSlots = (rawSlots, slots, instance) => {\n  const ctx = rawSlots._ctx;\n  for (const key in rawSlots) {\n    if (isInternalKey(key)) continue;\n    const value = rawSlots[key];\n    if (isFunction(value)) {\n      slots[key] = normalizeSlot(key, value, ctx);\n    } else if (value != null) {\n      if (!!(process.env.NODE_ENV !== \"production\") && true) {\n        warn$1(\n          `Non-function value encountered for slot \"${key}\". Prefer function slots for better performance.`\n        );\n      }\n      const normalized = normalizeSlotValue(value);\n      slots[key] = () => normalized;\n    }\n  }\n};\nconst normalizeVNodeSlots = (instance, children) => {\n  if (!!(process.env.NODE_ENV !== \"production\") && !isKeepAlive(instance.vnode) && true) {\n    warn$1(\n      `Non-function value encountered for default slot. Prefer function slots for better performance.`\n    );\n  }\n  const normalized = normalizeSlotValue(children);\n  instance.slots.default = () => normalized;\n};\nconst initSlots = (instance, children) => {\n  const slots = instance.slots = createInternalObject();\n  if (instance.vnode.shapeFlag & 32) {\n    const type = children._;\n    if (type) {\n      extend(slots, children);\n      def(slots, \"_\", type, true);\n    } else {\n      normalizeObjectSlots(children, slots);\n    }\n  } else if (children) {\n    normalizeVNodeSlots(instance, children);\n  }\n};\nconst updateSlots = (instance, children, optimized) => {\n  const { vnode, slots } = instance;\n  let needDeletionCheck = true;\n  let deletionComparisonTarget = EMPTY_OBJ;\n  if (vnode.shapeFlag & 32) {\n    const type = children._;\n    if (type) {\n      if (!!(process.env.NODE_ENV !== \"production\") && isHmrUpdating) {\n        extend(slots, children);\n        trigger(instance, \"set\", \"$slots\");\n      } else if (optimized && type === 1) {\n        needDeletionCheck = false;\n      } else {\n        extend(slots, children);\n        if (!optimized && type === 1) {\n          delete slots._;\n        }\n      }\n    } else {\n      needDeletionCheck = !children.$stable;\n      normalizeObjectSlots(children, slots);\n    }\n    deletionComparisonTarget = children;\n  } else if (children) {\n    normalizeVNodeSlots(instance, children);\n    deletionComparisonTarget = { default: 1 };\n  }\n  if (needDeletionCheck) {\n    for (const key in slots) {\n      if (!isInternalKey(key) && deletionComparisonTarget[key] == null) {\n        delete slots[key];\n      }\n    }\n  }\n};\n\nfunction setRef(rawRef, oldRawRef, parentSuspense, vnode, isUnmount = false) {\n  if (isArray(rawRef)) {\n    rawRef.forEach(\n      (r, i) => setRef(\n        r,\n        oldRawRef && (isArray(oldRawRef) ? oldRawRef[i] : oldRawRef),\n        parentSuspense,\n        vnode,\n        isUnmount\n      )\n    );\n    return;\n  }\n  if (isAsyncWrapper(vnode) && !isUnmount) {\n    return;\n  }\n  const refValue = vnode.shapeFlag & 4 ? getComponentPublicInstance(vnode.component) : vnode.el;\n  const value = isUnmount ? null : refValue;\n  const { i: owner, r: ref } = rawRef;\n  if (!!(process.env.NODE_ENV !== \"production\") && !owner) {\n    warn$1(\n      `Missing ref owner context. ref cannot be used on hoisted vnodes. A vnode with ref must be created inside the render function.`\n    );\n    return;\n  }\n  const oldRef = oldRawRef && oldRawRef.r;\n  const refs = owner.refs === EMPTY_OBJ ? owner.refs = {} : owner.refs;\n  const setupState = owner.setupState;\n  if (oldRef != null && oldRef !== ref) {\n    if (isString(oldRef)) {\n      refs[oldRef] = null;\n      if (hasOwn(setupState, oldRef)) {\n        setupState[oldRef] = null;\n      }\n    } else if (isRef(oldRef)) {\n      oldRef.value = null;\n    }\n  }\n  if (isFunction(ref)) {\n    callWithErrorHandling(ref, owner, 12, [value, refs]);\n  } else {\n    const _isString = isString(ref);\n    const _isRef = isRef(ref);\n    if (_isString || _isRef) {\n      const doSet = () => {\n        if (rawRef.f) {\n          const existing = _isString ? hasOwn(setupState, ref) ? setupState[ref] : refs[ref] : ref.value;\n          if (isUnmount) {\n            isArray(existing) && remove(existing, refValue);\n          } else {\n            if (!isArray(existing)) {\n              if (_isString) {\n                refs[ref] = [refValue];\n                if (hasOwn(setupState, ref)) {\n                  setupState[ref] = refs[ref];\n                }\n              } else {\n                ref.value = [refValue];\n                if (rawRef.k) refs[rawRef.k] = ref.value;\n              }\n            } else if (!existing.includes(refValue)) {\n              existing.push(refValue);\n            }\n          }\n        } else if (_isString) {\n          refs[ref] = value;\n          if (hasOwn(setupState, ref)) {\n            setupState[ref] = value;\n          }\n        } else if (_isRef) {\n          ref.value = value;\n          if (rawRef.k) refs[rawRef.k] = value;\n        } else if (!!(process.env.NODE_ENV !== \"production\")) {\n          warn$1(\"Invalid template ref type:\", ref, `(${typeof ref})`);\n        }\n      };\n      if (value) {\n        doSet.id = -1;\n        queuePostRenderEffect(doSet, parentSuspense);\n      } else {\n        doSet();\n      }\n    } else if (!!(process.env.NODE_ENV !== \"production\")) {\n      warn$1(\"Invalid template ref type:\", ref, `(${typeof ref})`);\n    }\n  }\n}\n\nlet hasLoggedMismatchError = false;\nconst logMismatchError = () => {\n  if (hasLoggedMismatchError) {\n    return;\n  }\n  console.error(\"Hydration completed but contains mismatches.\");\n  hasLoggedMismatchError = true;\n};\nconst isSVGContainer = (container) => container.namespaceURI.includes(\"svg\") && container.tagName !== \"foreignObject\";\nconst isMathMLContainer = (container) => container.namespaceURI.includes(\"MathML\");\nconst getContainerType = (container) => {\n  if (isSVGContainer(container)) return \"svg\";\n  if (isMathMLContainer(container)) return \"mathml\";\n  return void 0;\n};\nconst isComment = (node) => node.nodeType === 8 /* COMMENT */;\nfunction createHydrationFunctions(rendererInternals) {\n  const {\n    mt: mountComponent,\n    p: patch,\n    o: {\n      patchProp,\n      createText,\n      nextSibling,\n      parentNode,\n      remove,\n      insert,\n      createComment\n    }\n  } = rendererInternals;\n  const hydrate = (vnode, container) => {\n    if (!container.hasChildNodes()) {\n      (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_HYDRATION_MISMATCH_DETAILS__) && warn$1(\n        `Attempting to hydrate existing markup but container is empty. Performing full mount instead.`\n      );\n      patch(null, vnode, container);\n      flushPostFlushCbs();\n      container._vnode = vnode;\n      return;\n    }\n    hydrateNode(container.firstChild, vnode, null, null, null);\n    flushPostFlushCbs();\n    container._vnode = vnode;\n  };\n  const hydrateNode = (node, vnode, parentComponent, parentSuspense, slotScopeIds, optimized = false) => {\n    optimized = optimized || !!vnode.dynamicChildren;\n    const isFragmentStart = isComment(node) && node.data === \"[\";\n    const onMismatch = () => handleMismatch(\n      node,\n      vnode,\n      parentComponent,\n      parentSuspense,\n      slotScopeIds,\n      isFragmentStart\n    );\n    const { type, ref, shapeFlag, patchFlag } = vnode;\n    let domType = node.nodeType;\n    vnode.el = node;\n    if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n      def(node, \"__vnode\", vnode, true);\n      def(node, \"__vueParentComponent\", parentComponent, true);\n    }\n    if (patchFlag === -2) {\n      optimized = false;\n      vnode.dynamicChildren = null;\n    }\n    let nextNode = null;\n    switch (type) {\n      case Text:\n        if (domType !== 3 /* TEXT */) {\n          if (vnode.children === \"\") {\n            insert(vnode.el = createText(\"\"), parentNode(node), node);\n            nextNode = node;\n          } else {\n            nextNode = onMismatch();\n          }\n        } else {\n          if (node.data !== vnode.children) {\n            (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_HYDRATION_MISMATCH_DETAILS__) && warn$1(\n              `Hydration text mismatch in`,\n              node.parentNode,\n              `\n  - rendered on server: ${JSON.stringify(\n                node.data\n              )}\n  - expected on client: ${JSON.stringify(vnode.children)}`\n            );\n            logMismatchError();\n            node.data = vnode.children;\n          }\n          nextNode = nextSibling(node);\n        }\n        break;\n      case Comment:\n        if (isTemplateNode(node)) {\n          nextNode = nextSibling(node);\n          replaceNode(\n            vnode.el = node.content.firstChild,\n            node,\n            parentComponent\n          );\n        } else if (domType !== 8 /* COMMENT */ || isFragmentStart) {\n          nextNode = onMismatch();\n        } else {\n          nextNode = nextSibling(node);\n        }\n        break;\n      case Static:\n        if (isFragmentStart) {\n          node = nextSibling(node);\n          domType = node.nodeType;\n        }\n        if (domType === 1 /* ELEMENT */ || domType === 3 /* TEXT */) {\n          nextNode = node;\n          const needToAdoptContent = !vnode.children.length;\n          for (let i = 0; i < vnode.staticCount; i++) {\n            if (needToAdoptContent)\n              vnode.children += nextNode.nodeType === 1 /* ELEMENT */ ? nextNode.outerHTML : nextNode.data;\n            if (i === vnode.staticCount - 1) {\n              vnode.anchor = nextNode;\n            }\n            nextNode = nextSibling(nextNode);\n          }\n          return isFragmentStart ? nextSibling(nextNode) : nextNode;\n        } else {\n          onMismatch();\n        }\n        break;\n      case Fragment:\n        if (!isFragmentStart) {\n          nextNode = onMismatch();\n        } else {\n          nextNode = hydrateFragment(\n            node,\n            vnode,\n            parentComponent,\n            parentSuspense,\n            slotScopeIds,\n            optimized\n          );\n        }\n        break;\n      default:\n        if (shapeFlag & 1) {\n          if ((domType !== 1 /* ELEMENT */ || vnode.type.toLowerCase() !== node.tagName.toLowerCase()) && !isTemplateNode(node)) {\n            nextNode = onMismatch();\n          } else {\n            nextNode = hydrateElement(\n              node,\n              vnode,\n              parentComponent,\n              parentSuspense,\n              slotScopeIds,\n              optimized\n            );\n          }\n        } else if (shapeFlag & 6) {\n          vnode.slotScopeIds = slotScopeIds;\n          const container = parentNode(node);\n          if (isFragmentStart) {\n            nextNode = locateClosingAnchor(node);\n          } else if (isComment(node) && node.data === \"teleport start\") {\n            nextNode = locateClosingAnchor(node, node.data, \"teleport end\");\n          } else {\n            nextNode = nextSibling(node);\n          }\n          mountComponent(\n            vnode,\n            container,\n            null,\n            parentComponent,\n            parentSuspense,\n            getContainerType(container),\n            optimized\n          );\n          if (isAsyncWrapper(vnode)) {\n            let subTree;\n            if (isFragmentStart) {\n              subTree = createVNode(Fragment);\n              subTree.anchor = nextNode ? nextNode.previousSibling : container.lastChild;\n            } else {\n              subTree = node.nodeType === 3 ? createTextVNode(\"\") : createVNode(\"div\");\n            }\n            subTree.el = node;\n            vnode.component.subTree = subTree;\n          }\n        } else if (shapeFlag & 64) {\n          if (domType !== 8 /* COMMENT */) {\n            nextNode = onMismatch();\n          } else {\n            nextNode = vnode.type.hydrate(\n              node,\n              vnode,\n              parentComponent,\n              parentSuspense,\n              slotScopeIds,\n              optimized,\n              rendererInternals,\n              hydrateChildren\n            );\n          }\n        } else if (shapeFlag & 128) {\n          nextNode = vnode.type.hydrate(\n            node,\n            vnode,\n            parentComponent,\n            parentSuspense,\n            getContainerType(parentNode(node)),\n            slotScopeIds,\n            optimized,\n            rendererInternals,\n            hydrateNode\n          );\n        } else if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_HYDRATION_MISMATCH_DETAILS__) {\n          warn$1(\"Invalid HostVNode type:\", type, `(${typeof type})`);\n        }\n    }\n    if (ref != null) {\n      setRef(ref, null, parentSuspense, vnode);\n    }\n    return nextNode;\n  };\n  const hydrateElement = (el, vnode, parentComponent, parentSuspense, slotScopeIds, optimized) => {\n    optimized = optimized || !!vnode.dynamicChildren;\n    const { type, props, patchFlag, shapeFlag, dirs, transition } = vnode;\n    const forcePatch = type === \"input\" || type === \"option\";\n    if (!!(process.env.NODE_ENV !== \"production\") || forcePatch || patchFlag !== -1) {\n      if (dirs) {\n        invokeDirectiveHook(vnode, null, parentComponent, \"created\");\n      }\n      let needCallTransitionHooks = false;\n      if (isTemplateNode(el)) {\n        needCallTransitionHooks = needTransition(parentSuspense, transition) && parentComponent && parentComponent.vnode.props && parentComponent.vnode.props.appear;\n        const content = el.content.firstChild;\n        if (needCallTransitionHooks) {\n          transition.beforeEnter(content);\n        }\n        replaceNode(content, el, parentComponent);\n        vnode.el = el = content;\n      }\n      if (shapeFlag & 16 && // skip if element has innerHTML / textContent\n      !(props && (props.innerHTML || props.textContent))) {\n        let next = hydrateChildren(\n          el.firstChild,\n          vnode,\n          el,\n          parentComponent,\n          parentSuspense,\n          slotScopeIds,\n          optimized\n        );\n        let hasWarned = false;\n        while (next) {\n          if ((!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_HYDRATION_MISMATCH_DETAILS__) && !hasWarned) {\n            warn$1(\n              `Hydration children mismatch on`,\n              el,\n              `\nServer rendered element contains more child nodes than client vdom.`\n            );\n            hasWarned = true;\n          }\n          logMismatchError();\n          const cur = next;\n          next = next.nextSibling;\n          remove(cur);\n        }\n      } else if (shapeFlag & 8) {\n        if (el.textContent !== vnode.children) {\n          (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_HYDRATION_MISMATCH_DETAILS__) && warn$1(\n            `Hydration text content mismatch on`,\n            el,\n            `\n  - rendered on server: ${el.textContent}\n  - expected on client: ${vnode.children}`\n          );\n          logMismatchError();\n          el.textContent = vnode.children;\n        }\n      }\n      if (props) {\n        if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_HYDRATION_MISMATCH_DETAILS__ || forcePatch || !optimized || patchFlag & (16 | 32)) {\n          for (const key in props) {\n            if ((!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_HYDRATION_MISMATCH_DETAILS__) && // #11189 skip if this node has directives that have created hooks\n            // as it could have mutated the DOM in any possible way\n            !(dirs && dirs.some((d) => d.dir.created)) && propHasMismatch(el, key, props[key], vnode, parentComponent)) {\n              logMismatchError();\n            }\n            if (forcePatch && (key.endsWith(\"value\") || key === \"indeterminate\") || isOn(key) && !isReservedProp(key) || // force hydrate v-bind with .prop modifiers\n            key[0] === \".\") {\n              patchProp(\n                el,\n                key,\n                null,\n                props[key],\n                void 0,\n                void 0,\n                parentComponent\n              );\n            }\n          }\n        } else if (props.onClick) {\n          patchProp(\n            el,\n            \"onClick\",\n            null,\n            props.onClick,\n            void 0,\n            void 0,\n            parentComponent\n          );\n        }\n      }\n      let vnodeHooks;\n      if (vnodeHooks = props && props.onVnodeBeforeMount) {\n        invokeVNodeHook(vnodeHooks, parentComponent, vnode);\n      }\n      if (dirs) {\n        invokeDirectiveHook(vnode, null, parentComponent, \"beforeMount\");\n      }\n      if ((vnodeHooks = props && props.onVnodeMounted) || dirs || needCallTransitionHooks) {\n        queueEffectWithSuspense(() => {\n          vnodeHooks && invokeVNodeHook(vnodeHooks, parentComponent, vnode);\n          needCallTransitionHooks && transition.enter(el);\n          dirs && invokeDirectiveHook(vnode, null, parentComponent, \"mounted\");\n        }, parentSuspense);\n      }\n    }\n    return el.nextSibling;\n  };\n  const hydrateChildren = (node, parentVNode, container, parentComponent, parentSuspense, slotScopeIds, optimized) => {\n    optimized = optimized || !!parentVNode.dynamicChildren;\n    const children = parentVNode.children;\n    const l = children.length;\n    let hasWarned = false;\n    for (let i = 0; i < l; i++) {\n      const vnode = optimized ? children[i] : children[i] = normalizeVNode(children[i]);\n      if (node) {\n        node = hydrateNode(\n          node,\n          vnode,\n          parentComponent,\n          parentSuspense,\n          slotScopeIds,\n          optimized\n        );\n      } else if (vnode.type === Text && !vnode.children) {\n        insert(vnode.el = createText(\"\"), container);\n      } else {\n        if ((!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_HYDRATION_MISMATCH_DETAILS__) && !hasWarned) {\n          warn$1(\n            `Hydration children mismatch on`,\n            container,\n            `\nServer rendered element contains fewer child nodes than client vdom.`\n          );\n          hasWarned = true;\n        }\n        logMismatchError();\n        patch(\n          null,\n          vnode,\n          container,\n          null,\n          parentComponent,\n          parentSuspense,\n          getContainerType(container),\n          slotScopeIds\n        );\n      }\n    }\n    return node;\n  };\n  const hydrateFragment = (node, vnode, parentComponent, parentSuspense, slotScopeIds, optimized) => {\n    const { slotScopeIds: fragmentSlotScopeIds } = vnode;\n    if (fragmentSlotScopeIds) {\n      slotScopeIds = slotScopeIds ? slotScopeIds.concat(fragmentSlotScopeIds) : fragmentSlotScopeIds;\n    }\n    const container = parentNode(node);\n    const next = hydrateChildren(\n      nextSibling(node),\n      vnode,\n      container,\n      parentComponent,\n      parentSuspense,\n      slotScopeIds,\n      optimized\n    );\n    if (next && isComment(next) && next.data === \"]\") {\n      return nextSibling(vnode.anchor = next);\n    } else {\n      logMismatchError();\n      insert(vnode.anchor = createComment(`]`), container, next);\n      return next;\n    }\n  };\n  const handleMismatch = (node, vnode, parentComponent, parentSuspense, slotScopeIds, isFragment) => {\n    (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_HYDRATION_MISMATCH_DETAILS__) && warn$1(\n      `Hydration node mismatch:\n- rendered on server:`,\n      node,\n      node.nodeType === 3 /* TEXT */ ? `(text)` : isComment(node) && node.data === \"[\" ? `(start of fragment)` : ``,\n      `\n- expected on client:`,\n      vnode.type\n    );\n    logMismatchError();\n    vnode.el = null;\n    if (isFragment) {\n      const end = locateClosingAnchor(node);\n      while (true) {\n        const next2 = nextSibling(node);\n        if (next2 && next2 !== end) {\n          remove(next2);\n        } else {\n          break;\n        }\n      }\n    }\n    const next = nextSibling(node);\n    const container = parentNode(node);\n    remove(node);\n    patch(\n      null,\n      vnode,\n      container,\n      next,\n      parentComponent,\n      parentSuspense,\n      getContainerType(container),\n      slotScopeIds\n    );\n    return next;\n  };\n  const locateClosingAnchor = (node, open = \"[\", close = \"]\") => {\n    let match = 0;\n    while (node) {\n      node = nextSibling(node);\n      if (node && isComment(node)) {\n        if (node.data === open) match++;\n        if (node.data === close) {\n          if (match === 0) {\n            return nextSibling(node);\n          } else {\n            match--;\n          }\n        }\n      }\n    }\n    return node;\n  };\n  const replaceNode = (newNode, oldNode, parentComponent) => {\n    const parentNode2 = oldNode.parentNode;\n    if (parentNode2) {\n      parentNode2.replaceChild(newNode, oldNode);\n    }\n    let parent = parentComponent;\n    while (parent) {\n      if (parent.vnode.el === oldNode) {\n        parent.vnode.el = parent.subTree.el = newNode;\n      }\n      parent = parent.parent;\n    }\n  };\n  const isTemplateNode = (node) => {\n    return node.nodeType === 1 /* ELEMENT */ && node.tagName.toLowerCase() === \"template\";\n  };\n  return [hydrate, hydrateNode];\n}\nfunction propHasMismatch(el, key, clientValue, vnode, instance) {\n  let mismatchType;\n  let mismatchKey;\n  let actual;\n  let expected;\n  if (key === \"class\") {\n    actual = el.getAttribute(\"class\");\n    expected = normalizeClass(clientValue);\n    if (!isSetEqual(toClassSet(actual || \"\"), toClassSet(expected))) {\n      mismatchType = mismatchKey = `class`;\n    }\n  } else if (key === \"style\") {\n    actual = el.getAttribute(\"style\") || \"\";\n    expected = isString(clientValue) ? clientValue : stringifyStyle(normalizeStyle(clientValue));\n    const actualMap = toStyleMap(actual);\n    const expectedMap = toStyleMap(expected);\n    if (vnode.dirs) {\n      for (const { dir, value } of vnode.dirs) {\n        if (dir.name === \"show\" && !value) {\n          expectedMap.set(\"display\", \"none\");\n        }\n      }\n    }\n    if (instance) {\n      resolveCssVars(instance, vnode, expectedMap);\n    }\n    if (!isMapEqual(actualMap, expectedMap)) {\n      mismatchType = mismatchKey = \"style\";\n    }\n  } else if (el instanceof SVGElement && isKnownSvgAttr(key) || el instanceof HTMLElement && (isBooleanAttr(key) || isKnownHtmlAttr(key))) {\n    if (isBooleanAttr(key)) {\n      actual = el.hasAttribute(key);\n      expected = includeBooleanAttr(clientValue);\n    } else if (clientValue == null) {\n      actual = el.hasAttribute(key);\n      expected = false;\n    } else {\n      if (el.hasAttribute(key)) {\n        actual = el.getAttribute(key);\n      } else if (key === \"value\" && el.tagName === \"TEXTAREA\") {\n        actual = el.value;\n      } else {\n        actual = false;\n      }\n      expected = isRenderableAttrValue(clientValue) ? String(clientValue) : false;\n    }\n    if (actual !== expected) {\n      mismatchType = `attribute`;\n      mismatchKey = key;\n    }\n  }\n  if (mismatchType) {\n    const format = (v) => v === false ? `(not rendered)` : `${mismatchKey}=\"${v}\"`;\n    const preSegment = `Hydration ${mismatchType} mismatch on`;\n    const postSegment = `\n  - rendered on server: ${format(actual)}\n  - expected on client: ${format(expected)}\n  Note: this mismatch is check-only. The DOM will not be rectified in production due to performance overhead.\n  You should fix the source of the mismatch.`;\n    {\n      warn$1(preSegment, el, postSegment);\n    }\n    return true;\n  }\n  return false;\n}\nfunction toClassSet(str) {\n  return new Set(str.trim().split(/\\s+/));\n}\nfunction isSetEqual(a, b) {\n  if (a.size !== b.size) {\n    return false;\n  }\n  for (const s of a) {\n    if (!b.has(s)) {\n      return false;\n    }\n  }\n  return true;\n}\nfunction toStyleMap(str) {\n  const styleMap = /* @__PURE__ */ new Map();\n  for (const item of str.split(\";\")) {\n    let [key, value] = item.split(\":\");\n    key = key.trim();\n    value = value && value.trim();\n    if (key && value) {\n      styleMap.set(key, value);\n    }\n  }\n  return styleMap;\n}\nfunction isMapEqual(a, b) {\n  if (a.size !== b.size) {\n    return false;\n  }\n  for (const [key, value] of a) {\n    if (value !== b.get(key)) {\n      return false;\n    }\n  }\n  return true;\n}\nfunction resolveCssVars(instance, vnode, expectedMap) {\n  const root = instance.subTree;\n  if (instance.getCssVars && (vnode === root || root && root.type === Fragment && root.children.includes(vnode))) {\n    const cssVars = instance.getCssVars();\n    for (const key in cssVars) {\n      expectedMap.set(`--${key}`, String(cssVars[key]));\n    }\n  }\n  if (vnode === root && instance.parent) {\n    resolveCssVars(instance.parent, instance.vnode, expectedMap);\n  }\n}\n\nlet supported;\nlet perf;\nfunction startMeasure(instance, type) {\n  if (instance.appContext.config.performance && isSupported()) {\n    perf.mark(`vue-${type}-${instance.uid}`);\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n    devtoolsPerfStart(instance, type, isSupported() ? perf.now() : Date.now());\n  }\n}\nfunction endMeasure(instance, type) {\n  if (instance.appContext.config.performance && isSupported()) {\n    const startTag = `vue-${type}-${instance.uid}`;\n    const endTag = startTag + `:end`;\n    perf.mark(endTag);\n    perf.measure(\n      `<${formatComponentName(instance, instance.type)}> ${type}`,\n      startTag,\n      endTag\n    );\n    perf.clearMarks(startTag);\n    perf.clearMarks(endTag);\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n    devtoolsPerfEnd(instance, type, isSupported() ? perf.now() : Date.now());\n  }\n}\nfunction isSupported() {\n  if (supported !== void 0) {\n    return supported;\n  }\n  if (typeof window !== \"undefined\" && window.performance) {\n    supported = true;\n    perf = window.performance;\n  } else {\n    supported = false;\n  }\n  return supported;\n}\n\nfunction initFeatureFlags() {\n  const needWarn = [];\n  if (typeof __VUE_OPTIONS_API__ !== \"boolean\") {\n    !!(process.env.NODE_ENV !== \"production\") && needWarn.push(`__VUE_OPTIONS_API__`);\n    getGlobalThis().__VUE_OPTIONS_API__ = true;\n  }\n  if (typeof __VUE_PROD_DEVTOOLS__ !== \"boolean\") {\n    !!(process.env.NODE_ENV !== \"production\") && needWarn.push(`__VUE_PROD_DEVTOOLS__`);\n    getGlobalThis().__VUE_PROD_DEVTOOLS__ = false;\n  }\n  if (typeof __VUE_PROD_HYDRATION_MISMATCH_DETAILS__ !== \"boolean\") {\n    !!(process.env.NODE_ENV !== \"production\") && needWarn.push(`__VUE_PROD_HYDRATION_MISMATCH_DETAILS__`);\n    getGlobalThis().__VUE_PROD_HYDRATION_MISMATCH_DETAILS__ = false;\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") && needWarn.length) {\n    const multi = needWarn.length > 1;\n    console.warn(\n      `Feature flag${multi ? `s` : ``} ${needWarn.join(\", \")} ${multi ? `are` : `is`} not explicitly defined. You are running the esm-bundler build of Vue, which expects these compile-time feature flags to be globally injected via the bundler config in order to get better tree-shaking in the production bundle.\n\nFor more details, see https://link.vuejs.org/feature-flags.`\n    );\n  }\n}\n\nconst queuePostRenderEffect = queueEffectWithSuspense ;\nfunction createRenderer(options) {\n  return baseCreateRenderer(options);\n}\nfunction createHydrationRenderer(options) {\n  return baseCreateRenderer(options, createHydrationFunctions);\n}\nfunction baseCreateRenderer(options, createHydrationFns) {\n  {\n    initFeatureFlags();\n  }\n  const target = getGlobalThis();\n  target.__VUE__ = true;\n  if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n    setDevtoolsHook$1(target.__VUE_DEVTOOLS_GLOBAL_HOOK__, target);\n  }\n  const {\n    insert: hostInsert,\n    remove: hostRemove,\n    patchProp: hostPatchProp,\n    createElement: hostCreateElement,\n    createText: hostCreateText,\n    createComment: hostCreateComment,\n    setText: hostSetText,\n    setElementText: hostSetElementText,\n    parentNode: hostParentNode,\n    nextSibling: hostNextSibling,\n    setScopeId: hostSetScopeId = NOOP,\n    insertStaticContent: hostInsertStaticContent\n  } = options;\n  const patch = (n1, n2, container, anchor = null, parentComponent = null, parentSuspense = null, namespace = void 0, slotScopeIds = null, optimized = !!(process.env.NODE_ENV !== \"production\") && isHmrUpdating ? false : !!n2.dynamicChildren) => {\n    if (n1 === n2) {\n      return;\n    }\n    if (n1 && !isSameVNodeType(n1, n2)) {\n      anchor = getNextHostNode(n1);\n      unmount(n1, parentComponent, parentSuspense, true);\n      n1 = null;\n    }\n    if (n2.patchFlag === -2) {\n      optimized = false;\n      n2.dynamicChildren = null;\n    }\n    const { type, ref, shapeFlag } = n2;\n    switch (type) {\n      case Text:\n        processText(n1, n2, container, anchor);\n        break;\n      case Comment:\n        processCommentNode(n1, n2, container, anchor);\n        break;\n      case Static:\n        if (n1 == null) {\n          mountStaticNode(n2, container, anchor, namespace);\n        } else if (!!(process.env.NODE_ENV !== \"production\")) {\n          patchStaticNode(n1, n2, container, namespace);\n        }\n        break;\n      case Fragment:\n        processFragment(\n          n1,\n          n2,\n          container,\n          anchor,\n          parentComponent,\n          parentSuspense,\n          namespace,\n          slotScopeIds,\n          optimized\n        );\n        break;\n      default:\n        if (shapeFlag & 1) {\n          processElement(\n            n1,\n            n2,\n            container,\n            anchor,\n            parentComponent,\n            parentSuspense,\n            namespace,\n            slotScopeIds,\n            optimized\n          );\n        } else if (shapeFlag & 6) {\n          processComponent(\n            n1,\n            n2,\n            container,\n            anchor,\n            parentComponent,\n            parentSuspense,\n            namespace,\n            slotScopeIds,\n            optimized\n          );\n        } else if (shapeFlag & 64) {\n          type.process(\n            n1,\n            n2,\n            container,\n            anchor,\n            parentComponent,\n            parentSuspense,\n            namespace,\n            slotScopeIds,\n            optimized,\n            internals\n          );\n        } else if (shapeFlag & 128) {\n          type.process(\n            n1,\n            n2,\n            container,\n            anchor,\n            parentComponent,\n            parentSuspense,\n            namespace,\n            slotScopeIds,\n            optimized,\n            internals\n          );\n        } else if (!!(process.env.NODE_ENV !== \"production\")) {\n          warn$1(\"Invalid VNode type:\", type, `(${typeof type})`);\n        }\n    }\n    if (ref != null && parentComponent) {\n      setRef(ref, n1 && n1.ref, parentSuspense, n2 || n1, !n2);\n    }\n  };\n  const processText = (n1, n2, container, anchor) => {\n    if (n1 == null) {\n      hostInsert(\n        n2.el = hostCreateText(n2.children),\n        container,\n        anchor\n      );\n    } else {\n      const el = n2.el = n1.el;\n      if (n2.children !== n1.children) {\n        hostSetText(el, n2.children);\n      }\n    }\n  };\n  const processCommentNode = (n1, n2, container, anchor) => {\n    if (n1 == null) {\n      hostInsert(\n        n2.el = hostCreateComment(n2.children || \"\"),\n        container,\n        anchor\n      );\n    } else {\n      n2.el = n1.el;\n    }\n  };\n  const mountStaticNode = (n2, container, anchor, namespace) => {\n    [n2.el, n2.anchor] = hostInsertStaticContent(\n      n2.children,\n      container,\n      anchor,\n      namespace,\n      n2.el,\n      n2.anchor\n    );\n  };\n  const patchStaticNode = (n1, n2, container, namespace) => {\n    if (n2.children !== n1.children) {\n      const anchor = hostNextSibling(n1.anchor);\n      removeStaticNode(n1);\n      [n2.el, n2.anchor] = hostInsertStaticContent(\n        n2.children,\n        container,\n        anchor,\n        namespace\n      );\n    } else {\n      n2.el = n1.el;\n      n2.anchor = n1.anchor;\n    }\n  };\n  const moveStaticNode = ({ el, anchor }, container, nextSibling) => {\n    let next;\n    while (el && el !== anchor) {\n      next = hostNextSibling(el);\n      hostInsert(el, container, nextSibling);\n      el = next;\n    }\n    hostInsert(anchor, container, nextSibling);\n  };\n  const removeStaticNode = ({ el, anchor }) => {\n    let next;\n    while (el && el !== anchor) {\n      next = hostNextSibling(el);\n      hostRemove(el);\n      el = next;\n    }\n    hostRemove(anchor);\n  };\n  const processElement = (n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {\n    if (n2.type === \"svg\") {\n      namespace = \"svg\";\n    } else if (n2.type === \"math\") {\n      namespace = \"mathml\";\n    }\n    if (n1 == null) {\n      mountElement(\n        n2,\n        container,\n        anchor,\n        parentComponent,\n        parentSuspense,\n        namespace,\n        slotScopeIds,\n        optimized\n      );\n    } else {\n      patchElement(\n        n1,\n        n2,\n        parentComponent,\n        parentSuspense,\n        namespace,\n        slotScopeIds,\n        optimized\n      );\n    }\n  };\n  const mountElement = (vnode, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {\n    let el;\n    let vnodeHook;\n    const { props, shapeFlag, transition, dirs } = vnode;\n    el = vnode.el = hostCreateElement(\n      vnode.type,\n      namespace,\n      props && props.is,\n      props\n    );\n    if (shapeFlag & 8) {\n      hostSetElementText(el, vnode.children);\n    } else if (shapeFlag & 16) {\n      mountChildren(\n        vnode.children,\n        el,\n        null,\n        parentComponent,\n        parentSuspense,\n        resolveChildrenNamespace(vnode, namespace),\n        slotScopeIds,\n        optimized\n      );\n    }\n    if (dirs) {\n      invokeDirectiveHook(vnode, null, parentComponent, \"created\");\n    }\n    setScopeId(el, vnode, vnode.scopeId, slotScopeIds, parentComponent);\n    if (props) {\n      for (const key in props) {\n        if (key !== \"value\" && !isReservedProp(key)) {\n          hostPatchProp(\n            el,\n            key,\n            null,\n            props[key],\n            namespace,\n            vnode.children,\n            parentComponent,\n            parentSuspense,\n            unmountChildren\n          );\n        }\n      }\n      if (\"value\" in props) {\n        hostPatchProp(el, \"value\", null, props.value, namespace);\n      }\n      if (vnodeHook = props.onVnodeBeforeMount) {\n        invokeVNodeHook(vnodeHook, parentComponent, vnode);\n      }\n    }\n    if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n      def(el, \"__vnode\", vnode, true);\n      def(el, \"__vueParentComponent\", parentComponent, true);\n    }\n    if (dirs) {\n      invokeDirectiveHook(vnode, null, parentComponent, \"beforeMount\");\n    }\n    const needCallTransitionHooks = needTransition(parentSuspense, transition);\n    if (needCallTransitionHooks) {\n      transition.beforeEnter(el);\n    }\n    hostInsert(el, container, anchor);\n    if ((vnodeHook = props && props.onVnodeMounted) || needCallTransitionHooks || dirs) {\n      queuePostRenderEffect(() => {\n        vnodeHook && invokeVNodeHook(vnodeHook, parentComponent, vnode);\n        needCallTransitionHooks && transition.enter(el);\n        dirs && invokeDirectiveHook(vnode, null, parentComponent, \"mounted\");\n      }, parentSuspense);\n    }\n  };\n  const setScopeId = (el, vnode, scopeId, slotScopeIds, parentComponent) => {\n    if (scopeId) {\n      hostSetScopeId(el, scopeId);\n    }\n    if (slotScopeIds) {\n      for (let i = 0; i < slotScopeIds.length; i++) {\n        hostSetScopeId(el, slotScopeIds[i]);\n      }\n    }\n    if (parentComponent) {\n      let subTree = parentComponent.subTree;\n      if (!!(process.env.NODE_ENV !== \"production\") && subTree.patchFlag > 0 && subTree.patchFlag & 2048) {\n        subTree = filterSingleRoot(subTree.children) || subTree;\n      }\n      if (vnode === subTree) {\n        const parentVNode = parentComponent.vnode;\n        setScopeId(\n          el,\n          parentVNode,\n          parentVNode.scopeId,\n          parentVNode.slotScopeIds,\n          parentComponent.parent\n        );\n      }\n    }\n  };\n  const mountChildren = (children, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized, start = 0) => {\n    for (let i = start; i < children.length; i++) {\n      const child = children[i] = optimized ? cloneIfMounted(children[i]) : normalizeVNode(children[i]);\n      patch(\n        null,\n        child,\n        container,\n        anchor,\n        parentComponent,\n        parentSuspense,\n        namespace,\n        slotScopeIds,\n        optimized\n      );\n    }\n  };\n  const patchElement = (n1, n2, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {\n    const el = n2.el = n1.el;\n    if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n      el.__vnode = n2;\n    }\n    let { patchFlag, dynamicChildren, dirs } = n2;\n    patchFlag |= n1.patchFlag & 16;\n    const oldProps = n1.props || EMPTY_OBJ;\n    const newProps = n2.props || EMPTY_OBJ;\n    let vnodeHook;\n    parentComponent && toggleRecurse(parentComponent, false);\n    if (vnodeHook = newProps.onVnodeBeforeUpdate) {\n      invokeVNodeHook(vnodeHook, parentComponent, n2, n1);\n    }\n    if (dirs) {\n      invokeDirectiveHook(n2, n1, parentComponent, \"beforeUpdate\");\n    }\n    parentComponent && toggleRecurse(parentComponent, true);\n    if (!!(process.env.NODE_ENV !== \"production\") && isHmrUpdating) {\n      patchFlag = 0;\n      optimized = false;\n      dynamicChildren = null;\n    }\n    if (dynamicChildren) {\n      patchBlockChildren(\n        n1.dynamicChildren,\n        dynamicChildren,\n        el,\n        parentComponent,\n        parentSuspense,\n        resolveChildrenNamespace(n2, namespace),\n        slotScopeIds\n      );\n      if (!!(process.env.NODE_ENV !== \"production\")) {\n        traverseStaticChildren(n1, n2);\n      }\n    } else if (!optimized) {\n      patchChildren(\n        n1,\n        n2,\n        el,\n        null,\n        parentComponent,\n        parentSuspense,\n        resolveChildrenNamespace(n2, namespace),\n        slotScopeIds,\n        false\n      );\n    }\n    if (patchFlag > 0) {\n      if (patchFlag & 16) {\n        patchProps(\n          el,\n          n2,\n          oldProps,\n          newProps,\n          parentComponent,\n          parentSuspense,\n          namespace\n        );\n      } else {\n        if (patchFlag & 2) {\n          if (oldProps.class !== newProps.class) {\n            hostPatchProp(el, \"class\", null, newProps.class, namespace);\n          }\n        }\n        if (patchFlag & 4) {\n          hostPatchProp(el, \"style\", oldProps.style, newProps.style, namespace);\n        }\n        if (patchFlag & 8) {\n          const propsToUpdate = n2.dynamicProps;\n          for (let i = 0; i < propsToUpdate.length; i++) {\n            const key = propsToUpdate[i];\n            const prev = oldProps[key];\n            const next = newProps[key];\n            if (next !== prev || key === \"value\") {\n              hostPatchProp(\n                el,\n                key,\n                prev,\n                next,\n                namespace,\n                n1.children,\n                parentComponent,\n                parentSuspense,\n                unmountChildren\n              );\n            }\n          }\n        }\n      }\n      if (patchFlag & 1) {\n        if (n1.children !== n2.children) {\n          hostSetElementText(el, n2.children);\n        }\n      }\n    } else if (!optimized && dynamicChildren == null) {\n      patchProps(\n        el,\n        n2,\n        oldProps,\n        newProps,\n        parentComponent,\n        parentSuspense,\n        namespace\n      );\n    }\n    if ((vnodeHook = newProps.onVnodeUpdated) || dirs) {\n      queuePostRenderEffect(() => {\n        vnodeHook && invokeVNodeHook(vnodeHook, parentComponent, n2, n1);\n        dirs && invokeDirectiveHook(n2, n1, parentComponent, \"updated\");\n      }, parentSuspense);\n    }\n  };\n  const patchBlockChildren = (oldChildren, newChildren, fallbackContainer, parentComponent, parentSuspense, namespace, slotScopeIds) => {\n    for (let i = 0; i < newChildren.length; i++) {\n      const oldVNode = oldChildren[i];\n      const newVNode = newChildren[i];\n      const container = (\n        // oldVNode may be an errored async setup() component inside Suspense\n        // which will not have a mounted element\n        oldVNode.el && // - In the case of a Fragment, we need to provide the actual parent\n        // of the Fragment itself so it can move its children.\n        (oldVNode.type === Fragment || // - In the case of different nodes, there is going to be a replacement\n        // which also requires the correct parent container\n        !isSameVNodeType(oldVNode, newVNode) || // - In the case of a component, it could contain anything.\n        oldVNode.shapeFlag & (6 | 64)) ? hostParentNode(oldVNode.el) : (\n          // In other cases, the parent container is not actually used so we\n          // just pass the block element here to avoid a DOM parentNode call.\n          fallbackContainer\n        )\n      );\n      patch(\n        oldVNode,\n        newVNode,\n        container,\n        null,\n        parentComponent,\n        parentSuspense,\n        namespace,\n        slotScopeIds,\n        true\n      );\n    }\n  };\n  const patchProps = (el, vnode, oldProps, newProps, parentComponent, parentSuspense, namespace) => {\n    if (oldProps !== newProps) {\n      if (oldProps !== EMPTY_OBJ) {\n        for (const key in oldProps) {\n          if (!isReservedProp(key) && !(key in newProps)) {\n            hostPatchProp(\n              el,\n              key,\n              oldProps[key],\n              null,\n              namespace,\n              vnode.children,\n              parentComponent,\n              parentSuspense,\n              unmountChildren\n            );\n          }\n        }\n      }\n      for (const key in newProps) {\n        if (isReservedProp(key)) continue;\n        const next = newProps[key];\n        const prev = oldProps[key];\n        if (next !== prev && key !== \"value\") {\n          hostPatchProp(\n            el,\n            key,\n            prev,\n            next,\n            namespace,\n            vnode.children,\n            parentComponent,\n            parentSuspense,\n            unmountChildren\n          );\n        }\n      }\n      if (\"value\" in newProps) {\n        hostPatchProp(el, \"value\", oldProps.value, newProps.value, namespace);\n      }\n    }\n  };\n  const processFragment = (n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {\n    const fragmentStartAnchor = n2.el = n1 ? n1.el : hostCreateText(\"\");\n    const fragmentEndAnchor = n2.anchor = n1 ? n1.anchor : hostCreateText(\"\");\n    let { patchFlag, dynamicChildren, slotScopeIds: fragmentSlotScopeIds } = n2;\n    if (!!(process.env.NODE_ENV !== \"production\") && // #5523 dev root fragment may inherit directives\n    (isHmrUpdating || patchFlag & 2048)) {\n      patchFlag = 0;\n      optimized = false;\n      dynamicChildren = null;\n    }\n    if (fragmentSlotScopeIds) {\n      slotScopeIds = slotScopeIds ? slotScopeIds.concat(fragmentSlotScopeIds) : fragmentSlotScopeIds;\n    }\n    if (n1 == null) {\n      hostInsert(fragmentStartAnchor, container, anchor);\n      hostInsert(fragmentEndAnchor, container, anchor);\n      mountChildren(\n        // #10007\n        // such fragment like `<></>` will be compiled into\n        // a fragment which doesn't have a children.\n        // In this case fallback to an empty array\n        n2.children || [],\n        container,\n        fragmentEndAnchor,\n        parentComponent,\n        parentSuspense,\n        namespace,\n        slotScopeIds,\n        optimized\n      );\n    } else {\n      if (patchFlag > 0 && patchFlag & 64 && dynamicChildren && // #2715 the previous fragment could've been a BAILed one as a result\n      // of renderSlot() with no valid children\n      n1.dynamicChildren) {\n        patchBlockChildren(\n          n1.dynamicChildren,\n          dynamicChildren,\n          container,\n          parentComponent,\n          parentSuspense,\n          namespace,\n          slotScopeIds\n        );\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          traverseStaticChildren(n1, n2);\n        } else if (\n          // #2080 if the stable fragment has a key, it's a <template v-for> that may\n          //  get moved around. Make sure all root level vnodes inherit el.\n          // #2134 or if it's a component root, it may also get moved around\n          // as the component is being moved.\n          n2.key != null || parentComponent && n2 === parentComponent.subTree\n        ) {\n          traverseStaticChildren(\n            n1,\n            n2,\n            true\n            /* shallow */\n          );\n        }\n      } else {\n        patchChildren(\n          n1,\n          n2,\n          container,\n          fragmentEndAnchor,\n          parentComponent,\n          parentSuspense,\n          namespace,\n          slotScopeIds,\n          optimized\n        );\n      }\n    }\n  };\n  const processComponent = (n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {\n    n2.slotScopeIds = slotScopeIds;\n    if (n1 == null) {\n      if (n2.shapeFlag & 512) {\n        parentComponent.ctx.activate(\n          n2,\n          container,\n          anchor,\n          namespace,\n          optimized\n        );\n      } else {\n        mountComponent(\n          n2,\n          container,\n          anchor,\n          parentComponent,\n          parentSuspense,\n          namespace,\n          optimized\n        );\n      }\n    } else {\n      updateComponent(n1, n2, optimized);\n    }\n  };\n  const mountComponent = (initialVNode, container, anchor, parentComponent, parentSuspense, namespace, optimized) => {\n    const instance = (initialVNode.component = createComponentInstance(\n      initialVNode,\n      parentComponent,\n      parentSuspense\n    ));\n    if (!!(process.env.NODE_ENV !== \"production\") && instance.type.__hmrId) {\n      registerHMR(instance);\n    }\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      pushWarningContext(initialVNode);\n      startMeasure(instance, `mount`);\n    }\n    if (isKeepAlive(initialVNode)) {\n      instance.ctx.renderer = internals;\n    }\n    {\n      if (!!(process.env.NODE_ENV !== \"production\")) {\n        startMeasure(instance, `init`);\n      }\n      setupComponent(instance);\n      if (!!(process.env.NODE_ENV !== \"production\")) {\n        endMeasure(instance, `init`);\n      }\n    }\n    if (instance.asyncDep) {\n      parentSuspense && parentSuspense.registerDep(instance, setupRenderEffect, optimized);\n      if (!initialVNode.el) {\n        const placeholder = instance.subTree = createVNode(Comment);\n        processCommentNode(null, placeholder, container, anchor);\n      }\n    } else {\n      setupRenderEffect(\n        instance,\n        initialVNode,\n        container,\n        anchor,\n        parentSuspense,\n        namespace,\n        optimized\n      );\n    }\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      popWarningContext();\n      endMeasure(instance, `mount`);\n    }\n  };\n  const updateComponent = (n1, n2, optimized) => {\n    const instance = n2.component = n1.component;\n    if (shouldUpdateComponent(n1, n2, optimized)) {\n      if (instance.asyncDep && !instance.asyncResolved) {\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          pushWarningContext(n2);\n        }\n        updateComponentPreRender(instance, n2, optimized);\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          popWarningContext();\n        }\n        return;\n      } else {\n        instance.next = n2;\n        invalidateJob(instance.update);\n        instance.effect.dirty = true;\n        instance.update();\n      }\n    } else {\n      n2.el = n1.el;\n      instance.vnode = n2;\n    }\n  };\n  const setupRenderEffect = (instance, initialVNode, container, anchor, parentSuspense, namespace, optimized) => {\n    const componentUpdateFn = () => {\n      if (!instance.isMounted) {\n        let vnodeHook;\n        const { el, props } = initialVNode;\n        const { bm, m, parent } = instance;\n        const isAsyncWrapperVNode = isAsyncWrapper(initialVNode);\n        toggleRecurse(instance, false);\n        if (bm) {\n          invokeArrayFns(bm);\n        }\n        if (!isAsyncWrapperVNode && (vnodeHook = props && props.onVnodeBeforeMount)) {\n          invokeVNodeHook(vnodeHook, parent, initialVNode);\n        }\n        toggleRecurse(instance, true);\n        if (el && hydrateNode) {\n          const hydrateSubTree = () => {\n            if (!!(process.env.NODE_ENV !== \"production\")) {\n              startMeasure(instance, `render`);\n            }\n            instance.subTree = renderComponentRoot(instance);\n            if (!!(process.env.NODE_ENV !== \"production\")) {\n              endMeasure(instance, `render`);\n            }\n            if (!!(process.env.NODE_ENV !== \"production\")) {\n              startMeasure(instance, `hydrate`);\n            }\n            hydrateNode(\n              el,\n              instance.subTree,\n              instance,\n              parentSuspense,\n              null\n            );\n            if (!!(process.env.NODE_ENV !== \"production\")) {\n              endMeasure(instance, `hydrate`);\n            }\n          };\n          if (isAsyncWrapperVNode) {\n            initialVNode.type.__asyncLoader().then(\n              // note: we are moving the render call into an async callback,\n              // which means it won't track dependencies - but it's ok because\n              // a server-rendered async wrapper is already in resolved state\n              // and it will never need to change.\n              () => !instance.isUnmounted && hydrateSubTree()\n            );\n          } else {\n            hydrateSubTree();\n          }\n        } else {\n          if (!!(process.env.NODE_ENV !== \"production\")) {\n            startMeasure(instance, `render`);\n          }\n          const subTree = instance.subTree = renderComponentRoot(instance);\n          if (!!(process.env.NODE_ENV !== \"production\")) {\n            endMeasure(instance, `render`);\n          }\n          if (!!(process.env.NODE_ENV !== \"production\")) {\n            startMeasure(instance, `patch`);\n          }\n          patch(\n            null,\n            subTree,\n            container,\n            anchor,\n            instance,\n            parentSuspense,\n            namespace\n          );\n          if (!!(process.env.NODE_ENV !== \"production\")) {\n            endMeasure(instance, `patch`);\n          }\n          initialVNode.el = subTree.el;\n        }\n        if (m) {\n          queuePostRenderEffect(m, parentSuspense);\n        }\n        if (!isAsyncWrapperVNode && (vnodeHook = props && props.onVnodeMounted)) {\n          const scopedInitialVNode = initialVNode;\n          queuePostRenderEffect(\n            () => invokeVNodeHook(vnodeHook, parent, scopedInitialVNode),\n            parentSuspense\n          );\n        }\n        if (initialVNode.shapeFlag & 256 || parent && isAsyncWrapper(parent.vnode) && parent.vnode.shapeFlag & 256) {\n          instance.a && queuePostRenderEffect(instance.a, parentSuspense);\n        }\n        instance.isMounted = true;\n        if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n          devtoolsComponentAdded(instance);\n        }\n        initialVNode = container = anchor = null;\n      } else {\n        let { next, bu, u, parent, vnode } = instance;\n        {\n          const nonHydratedAsyncRoot = locateNonHydratedAsyncRoot(instance);\n          if (nonHydratedAsyncRoot) {\n            if (next) {\n              next.el = vnode.el;\n              updateComponentPreRender(instance, next, optimized);\n            }\n            nonHydratedAsyncRoot.asyncDep.then(() => {\n              if (!instance.isUnmounted) {\n                componentUpdateFn();\n              }\n            });\n            return;\n          }\n        }\n        let originNext = next;\n        let vnodeHook;\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          pushWarningContext(next || instance.vnode);\n        }\n        toggleRecurse(instance, false);\n        if (next) {\n          next.el = vnode.el;\n          updateComponentPreRender(instance, next, optimized);\n        } else {\n          next = vnode;\n        }\n        if (bu) {\n          invokeArrayFns(bu);\n        }\n        if (vnodeHook = next.props && next.props.onVnodeBeforeUpdate) {\n          invokeVNodeHook(vnodeHook, parent, next, vnode);\n        }\n        toggleRecurse(instance, true);\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          startMeasure(instance, `render`);\n        }\n        const nextTree = renderComponentRoot(instance);\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          endMeasure(instance, `render`);\n        }\n        const prevTree = instance.subTree;\n        instance.subTree = nextTree;\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          startMeasure(instance, `patch`);\n        }\n        patch(\n          prevTree,\n          nextTree,\n          // parent may have changed if it's in a teleport\n          hostParentNode(prevTree.el),\n          // anchor may have changed if it's in a fragment\n          getNextHostNode(prevTree),\n          instance,\n          parentSuspense,\n          namespace\n        );\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          endMeasure(instance, `patch`);\n        }\n        next.el = nextTree.el;\n        if (originNext === null) {\n          updateHOCHostEl(instance, nextTree.el);\n        }\n        if (u) {\n          queuePostRenderEffect(u, parentSuspense);\n        }\n        if (vnodeHook = next.props && next.props.onVnodeUpdated) {\n          queuePostRenderEffect(\n            () => invokeVNodeHook(vnodeHook, parent, next, vnode),\n            parentSuspense\n          );\n        }\n        if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n          devtoolsComponentUpdated(instance);\n        }\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          popWarningContext();\n        }\n      }\n    };\n    const effect = instance.effect = new ReactiveEffect(\n      componentUpdateFn,\n      NOOP,\n      () => queueJob(update),\n      instance.scope\n      // track it in component's effect scope\n    );\n    const update = instance.update = () => {\n      if (effect.dirty) {\n        effect.run();\n      }\n    };\n    update.id = instance.uid;\n    toggleRecurse(instance, true);\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      effect.onTrack = instance.rtc ? (e) => invokeArrayFns(instance.rtc, e) : void 0;\n      effect.onTrigger = instance.rtg ? (e) => invokeArrayFns(instance.rtg, e) : void 0;\n      update.ownerInstance = instance;\n    }\n    update();\n  };\n  const updateComponentPreRender = (instance, nextVNode, optimized) => {\n    nextVNode.component = instance;\n    const prevProps = instance.vnode.props;\n    instance.vnode = nextVNode;\n    instance.next = null;\n    updateProps(instance, nextVNode.props, prevProps, optimized);\n    updateSlots(instance, nextVNode.children, optimized);\n    pauseTracking();\n    flushPreFlushCbs(instance);\n    resetTracking();\n  };\n  const patchChildren = (n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized = false) => {\n    const c1 = n1 && n1.children;\n    const prevShapeFlag = n1 ? n1.shapeFlag : 0;\n    const c2 = n2.children;\n    const { patchFlag, shapeFlag } = n2;\n    if (patchFlag > 0) {\n      if (patchFlag & 128) {\n        patchKeyedChildren(\n          c1,\n          c2,\n          container,\n          anchor,\n          parentComponent,\n          parentSuspense,\n          namespace,\n          slotScopeIds,\n          optimized\n        );\n        return;\n      } else if (patchFlag & 256) {\n        patchUnkeyedChildren(\n          c1,\n          c2,\n          container,\n          anchor,\n          parentComponent,\n          parentSuspense,\n          namespace,\n          slotScopeIds,\n          optimized\n        );\n        return;\n      }\n    }\n    if (shapeFlag & 8) {\n      if (prevShapeFlag & 16) {\n        unmountChildren(c1, parentComponent, parentSuspense);\n      }\n      if (c2 !== c1) {\n        hostSetElementText(container, c2);\n      }\n    } else {\n      if (prevShapeFlag & 16) {\n        if (shapeFlag & 16) {\n          patchKeyedChildren(\n            c1,\n            c2,\n            container,\n            anchor,\n            parentComponent,\n            parentSuspense,\n            namespace,\n            slotScopeIds,\n            optimized\n          );\n        } else {\n          unmountChildren(c1, parentComponent, parentSuspense, true);\n        }\n      } else {\n        if (prevShapeFlag & 8) {\n          hostSetElementText(container, \"\");\n        }\n        if (shapeFlag & 16) {\n          mountChildren(\n            c2,\n            container,\n            anchor,\n            parentComponent,\n            parentSuspense,\n            namespace,\n            slotScopeIds,\n            optimized\n          );\n        }\n      }\n    }\n  };\n  const patchUnkeyedChildren = (c1, c2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {\n    c1 = c1 || EMPTY_ARR;\n    c2 = c2 || EMPTY_ARR;\n    const oldLength = c1.length;\n    const newLength = c2.length;\n    const commonLength = Math.min(oldLength, newLength);\n    let i;\n    for (i = 0; i < commonLength; i++) {\n      const nextChild = c2[i] = optimized ? cloneIfMounted(c2[i]) : normalizeVNode(c2[i]);\n      patch(\n        c1[i],\n        nextChild,\n        container,\n        null,\n        parentComponent,\n        parentSuspense,\n        namespace,\n        slotScopeIds,\n        optimized\n      );\n    }\n    if (oldLength > newLength) {\n      unmountChildren(\n        c1,\n        parentComponent,\n        parentSuspense,\n        true,\n        false,\n        commonLength\n      );\n    } else {\n      mountChildren(\n        c2,\n        container,\n        anchor,\n        parentComponent,\n        parentSuspense,\n        namespace,\n        slotScopeIds,\n        optimized,\n        commonLength\n      );\n    }\n  };\n  const patchKeyedChildren = (c1, c2, container, parentAnchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized) => {\n    let i = 0;\n    const l2 = c2.length;\n    let e1 = c1.length - 1;\n    let e2 = l2 - 1;\n    while (i <= e1 && i <= e2) {\n      const n1 = c1[i];\n      const n2 = c2[i] = optimized ? cloneIfMounted(c2[i]) : normalizeVNode(c2[i]);\n      if (isSameVNodeType(n1, n2)) {\n        patch(\n          n1,\n          n2,\n          container,\n          null,\n          parentComponent,\n          parentSuspense,\n          namespace,\n          slotScopeIds,\n          optimized\n        );\n      } else {\n        break;\n      }\n      i++;\n    }\n    while (i <= e1 && i <= e2) {\n      const n1 = c1[e1];\n      const n2 = c2[e2] = optimized ? cloneIfMounted(c2[e2]) : normalizeVNode(c2[e2]);\n      if (isSameVNodeType(n1, n2)) {\n        patch(\n          n1,\n          n2,\n          container,\n          null,\n          parentComponent,\n          parentSuspense,\n          namespace,\n          slotScopeIds,\n          optimized\n        );\n      } else {\n        break;\n      }\n      e1--;\n      e2--;\n    }\n    if (i > e1) {\n      if (i <= e2) {\n        const nextPos = e2 + 1;\n        const anchor = nextPos < l2 ? c2[nextPos].el : parentAnchor;\n        while (i <= e2) {\n          patch(\n            null,\n            c2[i] = optimized ? cloneIfMounted(c2[i]) : normalizeVNode(c2[i]),\n            container,\n            anchor,\n            parentComponent,\n            parentSuspense,\n            namespace,\n            slotScopeIds,\n            optimized\n          );\n          i++;\n        }\n      }\n    } else if (i > e2) {\n      while (i <= e1) {\n        unmount(c1[i], parentComponent, parentSuspense, true);\n        i++;\n      }\n    } else {\n      const s1 = i;\n      const s2 = i;\n      const keyToNewIndexMap = /* @__PURE__ */ new Map();\n      for (i = s2; i <= e2; i++) {\n        const nextChild = c2[i] = optimized ? cloneIfMounted(c2[i]) : normalizeVNode(c2[i]);\n        if (nextChild.key != null) {\n          if (!!(process.env.NODE_ENV !== \"production\") && keyToNewIndexMap.has(nextChild.key)) {\n            warn$1(\n              `Duplicate keys found during update:`,\n              JSON.stringify(nextChild.key),\n              `Make sure keys are unique.`\n            );\n          }\n          keyToNewIndexMap.set(nextChild.key, i);\n        }\n      }\n      let j;\n      let patched = 0;\n      const toBePatched = e2 - s2 + 1;\n      let moved = false;\n      let maxNewIndexSoFar = 0;\n      const newIndexToOldIndexMap = new Array(toBePatched);\n      for (i = 0; i < toBePatched; i++) newIndexToOldIndexMap[i] = 0;\n      for (i = s1; i <= e1; i++) {\n        const prevChild = c1[i];\n        if (patched >= toBePatched) {\n          unmount(prevChild, parentComponent, parentSuspense, true);\n          continue;\n        }\n        let newIndex;\n        if (prevChild.key != null) {\n          newIndex = keyToNewIndexMap.get(prevChild.key);\n        } else {\n          for (j = s2; j <= e2; j++) {\n            if (newIndexToOldIndexMap[j - s2] === 0 && isSameVNodeType(prevChild, c2[j])) {\n              newIndex = j;\n              break;\n            }\n          }\n        }\n        if (newIndex === void 0) {\n          unmount(prevChild, parentComponent, parentSuspense, true);\n        } else {\n          newIndexToOldIndexMap[newIndex - s2] = i + 1;\n          if (newIndex >= maxNewIndexSoFar) {\n            maxNewIndexSoFar = newIndex;\n          } else {\n            moved = true;\n          }\n          patch(\n            prevChild,\n            c2[newIndex],\n            container,\n            null,\n            parentComponent,\n            parentSuspense,\n            namespace,\n            slotScopeIds,\n            optimized\n          );\n          patched++;\n        }\n      }\n      const increasingNewIndexSequence = moved ? getSequence(newIndexToOldIndexMap) : EMPTY_ARR;\n      j = increasingNewIndexSequence.length - 1;\n      for (i = toBePatched - 1; i >= 0; i--) {\n        const nextIndex = s2 + i;\n        const nextChild = c2[nextIndex];\n        const anchor = nextIndex + 1 < l2 ? c2[nextIndex + 1].el : parentAnchor;\n        if (newIndexToOldIndexMap[i] === 0) {\n          patch(\n            null,\n            nextChild,\n            container,\n            anchor,\n            parentComponent,\n            parentSuspense,\n            namespace,\n            slotScopeIds,\n            optimized\n          );\n        } else if (moved) {\n          if (j < 0 || i !== increasingNewIndexSequence[j]) {\n            move(nextChild, container, anchor, 2);\n          } else {\n            j--;\n          }\n        }\n      }\n    }\n  };\n  const move = (vnode, container, anchor, moveType, parentSuspense = null) => {\n    const { el, type, transition, children, shapeFlag } = vnode;\n    if (shapeFlag & 6) {\n      move(vnode.component.subTree, container, anchor, moveType);\n      return;\n    }\n    if (shapeFlag & 128) {\n      vnode.suspense.move(container, anchor, moveType);\n      return;\n    }\n    if (shapeFlag & 64) {\n      type.move(vnode, container, anchor, internals);\n      return;\n    }\n    if (type === Fragment) {\n      hostInsert(el, container, anchor);\n      for (let i = 0; i < children.length; i++) {\n        move(children[i], container, anchor, moveType);\n      }\n      hostInsert(vnode.anchor, container, anchor);\n      return;\n    }\n    if (type === Static) {\n      moveStaticNode(vnode, container, anchor);\n      return;\n    }\n    const needTransition2 = moveType !== 2 && shapeFlag & 1 && transition;\n    if (needTransition2) {\n      if (moveType === 0) {\n        transition.beforeEnter(el);\n        hostInsert(el, container, anchor);\n        queuePostRenderEffect(() => transition.enter(el), parentSuspense);\n      } else {\n        const { leave, delayLeave, afterLeave } = transition;\n        const remove2 = () => hostInsert(el, container, anchor);\n        const performLeave = () => {\n          leave(el, () => {\n            remove2();\n            afterLeave && afterLeave();\n          });\n        };\n        if (delayLeave) {\n          delayLeave(el, remove2, performLeave);\n        } else {\n          performLeave();\n        }\n      }\n    } else {\n      hostInsert(el, container, anchor);\n    }\n  };\n  const unmount = (vnode, parentComponent, parentSuspense, doRemove = false, optimized = false) => {\n    const {\n      type,\n      props,\n      ref,\n      children,\n      dynamicChildren,\n      shapeFlag,\n      patchFlag,\n      dirs,\n      memoIndex\n    } = vnode;\n    if (patchFlag === -2) {\n      optimized = false;\n    }\n    if (ref != null) {\n      setRef(ref, null, parentSuspense, vnode, true);\n    }\n    if (memoIndex != null) {\n      parentComponent.renderCache[memoIndex] = void 0;\n    }\n    if (shapeFlag & 256) {\n      parentComponent.ctx.deactivate(vnode);\n      return;\n    }\n    const shouldInvokeDirs = shapeFlag & 1 && dirs;\n    const shouldInvokeVnodeHook = !isAsyncWrapper(vnode);\n    let vnodeHook;\n    if (shouldInvokeVnodeHook && (vnodeHook = props && props.onVnodeBeforeUnmount)) {\n      invokeVNodeHook(vnodeHook, parentComponent, vnode);\n    }\n    if (shapeFlag & 6) {\n      unmountComponent(vnode.component, parentSuspense, doRemove);\n    } else {\n      if (shapeFlag & 128) {\n        vnode.suspense.unmount(parentSuspense, doRemove);\n        return;\n      }\n      if (shouldInvokeDirs) {\n        invokeDirectiveHook(vnode, null, parentComponent, \"beforeUnmount\");\n      }\n      if (shapeFlag & 64) {\n        vnode.type.remove(\n          vnode,\n          parentComponent,\n          parentSuspense,\n          internals,\n          doRemove\n        );\n      } else if (dynamicChildren && // #1153: fast path should not be taken for non-stable (v-for) fragments\n      (type !== Fragment || patchFlag > 0 && patchFlag & 64)) {\n        unmountChildren(\n          dynamicChildren,\n          parentComponent,\n          parentSuspense,\n          false,\n          true\n        );\n      } else if (type === Fragment && patchFlag & (128 | 256) || !optimized && shapeFlag & 16) {\n        unmountChildren(children, parentComponent, parentSuspense);\n      }\n      if (doRemove) {\n        remove(vnode);\n      }\n    }\n    if (shouldInvokeVnodeHook && (vnodeHook = props && props.onVnodeUnmounted) || shouldInvokeDirs) {\n      queuePostRenderEffect(() => {\n        vnodeHook && invokeVNodeHook(vnodeHook, parentComponent, vnode);\n        shouldInvokeDirs && invokeDirectiveHook(vnode, null, parentComponent, \"unmounted\");\n      }, parentSuspense);\n    }\n  };\n  const remove = (vnode) => {\n    const { type, el, anchor, transition } = vnode;\n    if (type === Fragment) {\n      if (!!(process.env.NODE_ENV !== \"production\") && vnode.patchFlag > 0 && vnode.patchFlag & 2048 && transition && !transition.persisted) {\n        vnode.children.forEach((child) => {\n          if (child.type === Comment) {\n            hostRemove(child.el);\n          } else {\n            remove(child);\n          }\n        });\n      } else {\n        removeFragment(el, anchor);\n      }\n      return;\n    }\n    if (type === Static) {\n      removeStaticNode(vnode);\n      return;\n    }\n    const performRemove = () => {\n      hostRemove(el);\n      if (transition && !transition.persisted && transition.afterLeave) {\n        transition.afterLeave();\n      }\n    };\n    if (vnode.shapeFlag & 1 && transition && !transition.persisted) {\n      const { leave, delayLeave } = transition;\n      const performLeave = () => leave(el, performRemove);\n      if (delayLeave) {\n        delayLeave(vnode.el, performRemove, performLeave);\n      } else {\n        performLeave();\n      }\n    } else {\n      performRemove();\n    }\n  };\n  const removeFragment = (cur, end) => {\n    let next;\n    while (cur !== end) {\n      next = hostNextSibling(cur);\n      hostRemove(cur);\n      cur = next;\n    }\n    hostRemove(end);\n  };\n  const unmountComponent = (instance, parentSuspense, doRemove) => {\n    if (!!(process.env.NODE_ENV !== \"production\") && instance.type.__hmrId) {\n      unregisterHMR(instance);\n    }\n    const { bum, scope, update, subTree, um, m, a } = instance;\n    invalidateMount(m);\n    invalidateMount(a);\n    if (bum) {\n      invokeArrayFns(bum);\n    }\n    scope.stop();\n    if (update) {\n      update.active = false;\n      unmount(subTree, instance, parentSuspense, doRemove);\n    }\n    if (um) {\n      queuePostRenderEffect(um, parentSuspense);\n    }\n    queuePostRenderEffect(() => {\n      instance.isUnmounted = true;\n    }, parentSuspense);\n    if (parentSuspense && parentSuspense.pendingBranch && !parentSuspense.isUnmounted && instance.asyncDep && !instance.asyncResolved && instance.suspenseId === parentSuspense.pendingId) {\n      parentSuspense.deps--;\n      if (parentSuspense.deps === 0) {\n        parentSuspense.resolve();\n      }\n    }\n    if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n      devtoolsComponentRemoved(instance);\n    }\n  };\n  const unmountChildren = (children, parentComponent, parentSuspense, doRemove = false, optimized = false, start = 0) => {\n    for (let i = start; i < children.length; i++) {\n      unmount(children[i], parentComponent, parentSuspense, doRemove, optimized);\n    }\n  };\n  const getNextHostNode = (vnode) => {\n    if (vnode.shapeFlag & 6) {\n      return getNextHostNode(vnode.component.subTree);\n    }\n    if (vnode.shapeFlag & 128) {\n      return vnode.suspense.next();\n    }\n    return hostNextSibling(vnode.anchor || vnode.el);\n  };\n  let isFlushing = false;\n  const render = (vnode, container, namespace) => {\n    if (vnode == null) {\n      if (container._vnode) {\n        unmount(container._vnode, null, null, true);\n      }\n    } else {\n      patch(\n        container._vnode || null,\n        vnode,\n        container,\n        null,\n        null,\n        null,\n        namespace\n      );\n    }\n    if (!isFlushing) {\n      isFlushing = true;\n      flushPreFlushCbs();\n      flushPostFlushCbs();\n      isFlushing = false;\n    }\n    container._vnode = vnode;\n  };\n  const internals = {\n    p: patch,\n    um: unmount,\n    m: move,\n    r: remove,\n    mt: mountComponent,\n    mc: mountChildren,\n    pc: patchChildren,\n    pbc: patchBlockChildren,\n    n: getNextHostNode,\n    o: options\n  };\n  let hydrate;\n  let hydrateNode;\n  if (createHydrationFns) {\n    [hydrate, hydrateNode] = createHydrationFns(\n      internals\n    );\n  }\n  return {\n    render,\n    hydrate,\n    createApp: createAppAPI(render, hydrate)\n  };\n}\nfunction resolveChildrenNamespace({ type, props }, currentNamespace) {\n  return currentNamespace === \"svg\" && type === \"foreignObject\" || currentNamespace === \"mathml\" && type === \"annotation-xml\" && props && props.encoding && props.encoding.includes(\"html\") ? void 0 : currentNamespace;\n}\nfunction toggleRecurse({ effect, update }, allowed) {\n  effect.allowRecurse = update.allowRecurse = allowed;\n}\nfunction needTransition(parentSuspense, transition) {\n  return (!parentSuspense || parentSuspense && !parentSuspense.pendingBranch) && transition && !transition.persisted;\n}\nfunction traverseStaticChildren(n1, n2, shallow = false) {\n  const ch1 = n1.children;\n  const ch2 = n2.children;\n  if (isArray(ch1) && isArray(ch2)) {\n    for (let i = 0; i < ch1.length; i++) {\n      const c1 = ch1[i];\n      let c2 = ch2[i];\n      if (c2.shapeFlag & 1 && !c2.dynamicChildren) {\n        if (c2.patchFlag <= 0 || c2.patchFlag === 32) {\n          c2 = ch2[i] = cloneIfMounted(ch2[i]);\n          c2.el = c1.el;\n        }\n        if (!shallow && c2.patchFlag !== -2)\n          traverseStaticChildren(c1, c2);\n      }\n      if (c2.type === Text) {\n        c2.el = c1.el;\n      }\n      if (!!(process.env.NODE_ENV !== \"production\") && c2.type === Comment && !c2.el) {\n        c2.el = c1.el;\n      }\n    }\n  }\n}\nfunction getSequence(arr) {\n  const p = arr.slice();\n  const result = [0];\n  let i, j, u, v, c;\n  const len = arr.length;\n  for (i = 0; i < len; i++) {\n    const arrI = arr[i];\n    if (arrI !== 0) {\n      j = result[result.length - 1];\n      if (arr[j] < arrI) {\n        p[i] = j;\n        result.push(i);\n        continue;\n      }\n      u = 0;\n      v = result.length - 1;\n      while (u < v) {\n        c = u + v >> 1;\n        if (arr[result[c]] < arrI) {\n          u = c + 1;\n        } else {\n          v = c;\n        }\n      }\n      if (arrI < arr[result[u]]) {\n        if (u > 0) {\n          p[i] = result[u - 1];\n        }\n        result[u] = i;\n      }\n    }\n  }\n  u = result.length;\n  v = result[u - 1];\n  while (u-- > 0) {\n    result[u] = v;\n    v = p[v];\n  }\n  return result;\n}\nfunction locateNonHydratedAsyncRoot(instance) {\n  const subComponent = instance.subTree.component;\n  if (subComponent) {\n    if (subComponent.asyncDep && !subComponent.asyncResolved) {\n      return subComponent;\n    } else {\n      return locateNonHydratedAsyncRoot(subComponent);\n    }\n  }\n}\nfunction invalidateMount(hooks) {\n  if (hooks) {\n    for (let i = 0; i < hooks.length; i++) hooks[i].active = false;\n  }\n}\n\nconst ssrContextKey = Symbol.for(\"v-scx\");\nconst useSSRContext = () => {\n  {\n    const ctx = inject(ssrContextKey);\n    if (!ctx) {\n      !!(process.env.NODE_ENV !== \"production\") && warn$1(\n        `Server rendering context not provided. Make sure to only call useSSRContext() conditionally in the server build.`\n      );\n    }\n    return ctx;\n  }\n};\n\nfunction watchEffect(effect, options) {\n  return doWatch(effect, null, options);\n}\nfunction watchPostEffect(effect, options) {\n  return doWatch(\n    effect,\n    null,\n    !!(process.env.NODE_ENV !== \"production\") ? extend({}, options, { flush: \"post\" }) : { flush: \"post\" }\n  );\n}\nfunction watchSyncEffect(effect, options) {\n  return doWatch(\n    effect,\n    null,\n    !!(process.env.NODE_ENV !== \"production\") ? extend({}, options, { flush: \"sync\" }) : { flush: \"sync\" }\n  );\n}\nconst INITIAL_WATCHER_VALUE = {};\nfunction watch(source, cb, options) {\n  if (!!(process.env.NODE_ENV !== \"production\") && !isFunction(cb)) {\n    warn$1(\n      `\\`watch(fn, options?)\\` signature has been moved to a separate API. Use \\`watchEffect(fn, options?)\\` instead. \\`watch\\` now only supports \\`watch(source, cb, options?) signature.`\n    );\n  }\n  return doWatch(source, cb, options);\n}\nfunction doWatch(source, cb, {\n  immediate,\n  deep,\n  flush,\n  once,\n  onTrack,\n  onTrigger\n} = EMPTY_OBJ) {\n  if (cb && once) {\n    const _cb = cb;\n    cb = (...args) => {\n      _cb(...args);\n      unwatch();\n    };\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") && deep !== void 0 && typeof deep === \"number\") {\n    warn$1(\n      `watch() \"deep\" option with number value will be used as watch depth in future versions. Please use a boolean instead to avoid potential breakage.`\n    );\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") && !cb) {\n    if (immediate !== void 0) {\n      warn$1(\n        `watch() \"immediate\" option is only respected when using the watch(source, callback, options?) signature.`\n      );\n    }\n    if (deep !== void 0) {\n      warn$1(\n        `watch() \"deep\" option is only respected when using the watch(source, callback, options?) signature.`\n      );\n    }\n    if (once !== void 0) {\n      warn$1(\n        `watch() \"once\" option is only respected when using the watch(source, callback, options?) signature.`\n      );\n    }\n  }\n  const warnInvalidSource = (s) => {\n    warn$1(\n      `Invalid watch source: `,\n      s,\n      `A watch source can only be a getter/effect function, a ref, a reactive object, or an array of these types.`\n    );\n  };\n  const instance = currentInstance;\n  const reactiveGetter = (source2) => deep === true ? source2 : (\n    // for deep: false, only traverse root-level properties\n    traverse(source2, deep === false ? 1 : void 0)\n  );\n  let getter;\n  let forceTrigger = false;\n  let isMultiSource = false;\n  if (isRef(source)) {\n    getter = () => source.value;\n    forceTrigger = isShallow(source);\n  } else if (isReactive(source)) {\n    getter = () => reactiveGetter(source);\n    forceTrigger = true;\n  } else if (isArray(source)) {\n    isMultiSource = true;\n    forceTrigger = source.some((s) => isReactive(s) || isShallow(s));\n    getter = () => source.map((s) => {\n      if (isRef(s)) {\n        return s.value;\n      } else if (isReactive(s)) {\n        return reactiveGetter(s);\n      } else if (isFunction(s)) {\n        return callWithErrorHandling(s, instance, 2);\n      } else {\n        !!(process.env.NODE_ENV !== \"production\") && warnInvalidSource(s);\n      }\n    });\n  } else if (isFunction(source)) {\n    if (cb) {\n      getter = () => callWithErrorHandling(source, instance, 2);\n    } else {\n      getter = () => {\n        if (cleanup) {\n          cleanup();\n        }\n        return callWithAsyncErrorHandling(\n          source,\n          instance,\n          3,\n          [onCleanup]\n        );\n      };\n    }\n  } else {\n    getter = NOOP;\n    !!(process.env.NODE_ENV !== \"production\") && warnInvalidSource(source);\n  }\n  if (cb && deep) {\n    const baseGetter = getter;\n    getter = () => traverse(baseGetter());\n  }\n  let cleanup;\n  let onCleanup = (fn) => {\n    cleanup = effect.onStop = () => {\n      callWithErrorHandling(fn, instance, 4);\n      cleanup = effect.onStop = void 0;\n    };\n  };\n  let ssrCleanup;\n  if (isInSSRComponentSetup) {\n    onCleanup = NOOP;\n    if (!cb) {\n      getter();\n    } else if (immediate) {\n      callWithAsyncErrorHandling(cb, instance, 3, [\n        getter(),\n        isMultiSource ? [] : void 0,\n        onCleanup\n      ]);\n    }\n    if (flush === \"sync\") {\n      const ctx = useSSRContext();\n      ssrCleanup = ctx.__watcherHandles || (ctx.__watcherHandles = []);\n    } else {\n      return NOOP;\n    }\n  }\n  let oldValue = isMultiSource ? new Array(source.length).fill(INITIAL_WATCHER_VALUE) : INITIAL_WATCHER_VALUE;\n  const job = () => {\n    if (!effect.active || !effect.dirty) {\n      return;\n    }\n    if (cb) {\n      const newValue = effect.run();\n      if (deep || forceTrigger || (isMultiSource ? newValue.some((v, i) => hasChanged(v, oldValue[i])) : hasChanged(newValue, oldValue)) || false) {\n        if (cleanup) {\n          cleanup();\n        }\n        callWithAsyncErrorHandling(cb, instance, 3, [\n          newValue,\n          // pass undefined as the old value when it's changed for the first time\n          oldValue === INITIAL_WATCHER_VALUE ? void 0 : isMultiSource && oldValue[0] === INITIAL_WATCHER_VALUE ? [] : oldValue,\n          onCleanup\n        ]);\n        oldValue = newValue;\n      }\n    } else {\n      effect.run();\n    }\n  };\n  job.allowRecurse = !!cb;\n  let scheduler;\n  if (flush === \"sync\") {\n    scheduler = job;\n  } else if (flush === \"post\") {\n    scheduler = () => queuePostRenderEffect(job, instance && instance.suspense);\n  } else {\n    job.pre = true;\n    if (instance) job.id = instance.uid;\n    scheduler = () => queueJob(job);\n  }\n  const effect = new ReactiveEffect(getter, NOOP, scheduler);\n  const scope = getCurrentScope();\n  const unwatch = () => {\n    effect.stop();\n    if (scope) {\n      remove(scope.effects, effect);\n    }\n  };\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    effect.onTrack = onTrack;\n    effect.onTrigger = onTrigger;\n  }\n  if (cb) {\n    if (immediate) {\n      job();\n    } else {\n      oldValue = effect.run();\n    }\n  } else if (flush === \"post\") {\n    queuePostRenderEffect(\n      effect.run.bind(effect),\n      instance && instance.suspense\n    );\n  } else {\n    effect.run();\n  }\n  if (ssrCleanup) ssrCleanup.push(unwatch);\n  return unwatch;\n}\nfunction instanceWatch(source, value, options) {\n  const publicThis = this.proxy;\n  const getter = isString(source) ? source.includes(\".\") ? createPathGetter(publicThis, source) : () => publicThis[source] : source.bind(publicThis, publicThis);\n  let cb;\n  if (isFunction(value)) {\n    cb = value;\n  } else {\n    cb = value.handler;\n    options = value;\n  }\n  const reset = setCurrentInstance(this);\n  const res = doWatch(getter, cb.bind(publicThis), options);\n  reset();\n  return res;\n}\nfunction createPathGetter(ctx, path) {\n  const segments = path.split(\".\");\n  return () => {\n    let cur = ctx;\n    for (let i = 0; i < segments.length && cur; i++) {\n      cur = cur[segments[i]];\n    }\n    return cur;\n  };\n}\nfunction traverse(value, depth = Infinity, seen) {\n  if (depth <= 0 || !isObject(value) || value[\"__v_skip\"]) {\n    return value;\n  }\n  seen = seen || /* @__PURE__ */ new Set();\n  if (seen.has(value)) {\n    return value;\n  }\n  seen.add(value);\n  depth--;\n  if (isRef(value)) {\n    traverse(value.value, depth, seen);\n  } else if (isArray(value)) {\n    for (let i = 0; i < value.length; i++) {\n      traverse(value[i], depth, seen);\n    }\n  } else if (isSet(value) || isMap(value)) {\n    value.forEach((v) => {\n      traverse(v, depth, seen);\n    });\n  } else if (isPlainObject(value)) {\n    for (const key in value) {\n      traverse(value[key], depth, seen);\n    }\n    for (const key of Object.getOwnPropertySymbols(value)) {\n      if (Object.prototype.propertyIsEnumerable.call(value, key)) {\n        traverse(value[key], depth, seen);\n      }\n    }\n  }\n  return value;\n}\n\nconst isKeepAlive = (vnode) => vnode.type.__isKeepAlive;\nconst KeepAliveImpl = {\n  name: `KeepAlive`,\n  // Marker for special handling inside the renderer. We are not using a ===\n  // check directly on KeepAlive in the renderer, because importing it directly\n  // would prevent it from being tree-shaken.\n  __isKeepAlive: true,\n  props: {\n    include: [String, RegExp, Array],\n    exclude: [String, RegExp, Array],\n    max: [String, Number]\n  },\n  setup(props, { slots }) {\n    const instance = getCurrentInstance();\n    const sharedContext = instance.ctx;\n    if (!sharedContext.renderer) {\n      return () => {\n        const children = slots.default && slots.default();\n        return children && children.length === 1 ? children[0] : children;\n      };\n    }\n    const cache = /* @__PURE__ */ new Map();\n    const keys = /* @__PURE__ */ new Set();\n    let current = null;\n    if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n      instance.__v_cache = cache;\n    }\n    const parentSuspense = instance.suspense;\n    const {\n      renderer: {\n        p: patch,\n        m: move,\n        um: _unmount,\n        o: { createElement }\n      }\n    } = sharedContext;\n    const storageContainer = createElement(\"div\");\n    sharedContext.activate = (vnode, container, anchor, namespace, optimized) => {\n      const instance2 = vnode.component;\n      move(vnode, container, anchor, 0, parentSuspense);\n      patch(\n        instance2.vnode,\n        vnode,\n        container,\n        anchor,\n        instance2,\n        parentSuspense,\n        namespace,\n        vnode.slotScopeIds,\n        optimized\n      );\n      queuePostRenderEffect(() => {\n        instance2.isDeactivated = false;\n        if (instance2.a) {\n          invokeArrayFns(instance2.a);\n        }\n        const vnodeHook = vnode.props && vnode.props.onVnodeMounted;\n        if (vnodeHook) {\n          invokeVNodeHook(vnodeHook, instance2.parent, vnode);\n        }\n      }, parentSuspense);\n      if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n        devtoolsComponentAdded(instance2);\n      }\n    };\n    sharedContext.deactivate = (vnode) => {\n      const instance2 = vnode.component;\n      invalidateMount(instance2.m);\n      invalidateMount(instance2.a);\n      move(vnode, storageContainer, null, 1, parentSuspense);\n      queuePostRenderEffect(() => {\n        if (instance2.da) {\n          invokeArrayFns(instance2.da);\n        }\n        const vnodeHook = vnode.props && vnode.props.onVnodeUnmounted;\n        if (vnodeHook) {\n          invokeVNodeHook(vnodeHook, instance2.parent, vnode);\n        }\n        instance2.isDeactivated = true;\n      }, parentSuspense);\n      if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n        devtoolsComponentAdded(instance2);\n      }\n    };\n    function unmount(vnode) {\n      resetShapeFlag(vnode);\n      _unmount(vnode, instance, parentSuspense, true);\n    }\n    function pruneCache(filter) {\n      cache.forEach((vnode, key) => {\n        const name = getComponentName(vnode.type);\n        if (name && (!filter || !filter(name))) {\n          pruneCacheEntry(key);\n        }\n      });\n    }\n    function pruneCacheEntry(key) {\n      const cached = cache.get(key);\n      if (!current || !isSameVNodeType(cached, current)) {\n        unmount(cached);\n      } else if (current) {\n        resetShapeFlag(current);\n      }\n      cache.delete(key);\n      keys.delete(key);\n    }\n    watch(\n      () => [props.include, props.exclude],\n      ([include, exclude]) => {\n        include && pruneCache((name) => matches(include, name));\n        exclude && pruneCache((name) => !matches(exclude, name));\n      },\n      // prune post-render after `current` has been updated\n      { flush: \"post\", deep: true }\n    );\n    let pendingCacheKey = null;\n    const cacheSubtree = () => {\n      if (pendingCacheKey != null) {\n        if (isSuspense(instance.subTree.type)) {\n          queuePostRenderEffect(() => {\n            cache.set(pendingCacheKey, getInnerChild(instance.subTree));\n          }, instance.subTree.suspense);\n        } else {\n          cache.set(pendingCacheKey, getInnerChild(instance.subTree));\n        }\n      }\n    };\n    onMounted(cacheSubtree);\n    onUpdated(cacheSubtree);\n    onBeforeUnmount(() => {\n      cache.forEach((cached) => {\n        const { subTree, suspense } = instance;\n        const vnode = getInnerChild(subTree);\n        if (cached.type === vnode.type && cached.key === vnode.key) {\n          resetShapeFlag(vnode);\n          const da = vnode.component.da;\n          da && queuePostRenderEffect(da, suspense);\n          return;\n        }\n        unmount(cached);\n      });\n    });\n    return () => {\n      pendingCacheKey = null;\n      if (!slots.default) {\n        return null;\n      }\n      const children = slots.default();\n      const rawVNode = children[0];\n      if (children.length > 1) {\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          warn$1(`KeepAlive should contain exactly one component child.`);\n        }\n        current = null;\n        return children;\n      } else if (!isVNode(rawVNode) || !(rawVNode.shapeFlag & 4) && !(rawVNode.shapeFlag & 128)) {\n        current = null;\n        return rawVNode;\n      }\n      let vnode = getInnerChild(rawVNode);\n      const comp = vnode.type;\n      const name = getComponentName(\n        isAsyncWrapper(vnode) ? vnode.type.__asyncResolved || {} : comp\n      );\n      const { include, exclude, max } = props;\n      if (include && (!name || !matches(include, name)) || exclude && name && matches(exclude, name)) {\n        current = vnode;\n        return rawVNode;\n      }\n      const key = vnode.key == null ? comp : vnode.key;\n      const cachedVNode = cache.get(key);\n      if (vnode.el) {\n        vnode = cloneVNode(vnode);\n        if (rawVNode.shapeFlag & 128) {\n          rawVNode.ssContent = vnode;\n        }\n      }\n      pendingCacheKey = key;\n      if (cachedVNode) {\n        vnode.el = cachedVNode.el;\n        vnode.component = cachedVNode.component;\n        if (vnode.transition) {\n          setTransitionHooks(vnode, vnode.transition);\n        }\n        vnode.shapeFlag |= 512;\n        keys.delete(key);\n        keys.add(key);\n      } else {\n        keys.add(key);\n        if (max && keys.size > parseInt(max, 10)) {\n          pruneCacheEntry(keys.values().next().value);\n        }\n      }\n      vnode.shapeFlag |= 256;\n      current = vnode;\n      return isSuspense(rawVNode.type) ? rawVNode : vnode;\n    };\n  }\n};\nconst KeepAlive = KeepAliveImpl;\nfunction matches(pattern, name) {\n  if (isArray(pattern)) {\n    return pattern.some((p) => matches(p, name));\n  } else if (isString(pattern)) {\n    return pattern.split(\",\").includes(name);\n  } else if (isRegExp(pattern)) {\n    return pattern.test(name);\n  }\n  return false;\n}\nfunction onActivated(hook, target) {\n  registerKeepAliveHook(hook, \"a\", target);\n}\nfunction onDeactivated(hook, target) {\n  registerKeepAliveHook(hook, \"da\", target);\n}\nfunction registerKeepAliveHook(hook, type, target = currentInstance) {\n  const wrappedHook = hook.__wdc || (hook.__wdc = () => {\n    let current = target;\n    while (current) {\n      if (current.isDeactivated) {\n        return;\n      }\n      current = current.parent;\n    }\n    return hook();\n  });\n  injectHook(type, wrappedHook, target);\n  if (target) {\n    let current = target.parent;\n    while (current && current.parent) {\n      if (isKeepAlive(current.parent.vnode)) {\n        injectToKeepAliveRoot(wrappedHook, type, target, current);\n      }\n      current = current.parent;\n    }\n  }\n}\nfunction injectToKeepAliveRoot(hook, type, target, keepAliveRoot) {\n  const injected = injectHook(\n    type,\n    hook,\n    keepAliveRoot,\n    true\n    /* prepend */\n  );\n  onUnmounted(() => {\n    remove(keepAliveRoot[type], injected);\n  }, target);\n}\nfunction resetShapeFlag(vnode) {\n  vnode.shapeFlag &= ~256;\n  vnode.shapeFlag &= ~512;\n}\nfunction getInnerChild(vnode) {\n  return vnode.shapeFlag & 128 ? vnode.ssContent : vnode;\n}\n\nconst leaveCbKey = Symbol(\"_leaveCb\");\nconst enterCbKey = Symbol(\"_enterCb\");\nfunction useTransitionState() {\n  const state = {\n    isMounted: false,\n    isLeaving: false,\n    isUnmounting: false,\n    leavingVNodes: /* @__PURE__ */ new Map()\n  };\n  onMounted(() => {\n    state.isMounted = true;\n  });\n  onBeforeUnmount(() => {\n    state.isUnmounting = true;\n  });\n  return state;\n}\nconst TransitionHookValidator = [Function, Array];\nconst BaseTransitionPropsValidators = {\n  mode: String,\n  appear: Boolean,\n  persisted: Boolean,\n  // enter\n  onBeforeEnter: TransitionHookValidator,\n  onEnter: TransitionHookValidator,\n  onAfterEnter: TransitionHookValidator,\n  onEnterCancelled: TransitionHookValidator,\n  // leave\n  onBeforeLeave: TransitionHookValidator,\n  onLeave: TransitionHookValidator,\n  onAfterLeave: TransitionHookValidator,\n  onLeaveCancelled: TransitionHookValidator,\n  // appear\n  onBeforeAppear: TransitionHookValidator,\n  onAppear: TransitionHookValidator,\n  onAfterAppear: TransitionHookValidator,\n  onAppearCancelled: TransitionHookValidator\n};\nconst recursiveGetSubtree = (instance) => {\n  const subTree = instance.subTree;\n  return subTree.component ? recursiveGetSubtree(subTree.component) : subTree;\n};\nconst BaseTransitionImpl = {\n  name: `BaseTransition`,\n  props: BaseTransitionPropsValidators,\n  setup(props, { slots }) {\n    const instance = getCurrentInstance();\n    const state = useTransitionState();\n    return () => {\n      const children = slots.default && getTransitionRawChildren(slots.default(), true);\n      if (!children || !children.length) {\n        return;\n      }\n      let child = children[0];\n      if (children.length > 1) {\n        let hasFound = false;\n        for (const c of children) {\n          if (c.type !== Comment) {\n            if (!!(process.env.NODE_ENV !== \"production\") && hasFound) {\n              warn$1(\n                \"<transition> can only be used on a single element or component. Use <transition-group> for lists.\"\n              );\n              break;\n            }\n            child = c;\n            hasFound = true;\n            if (!!!(process.env.NODE_ENV !== \"production\")) break;\n          }\n        }\n      }\n      const rawProps = toRaw(props);\n      const { mode } = rawProps;\n      if (!!(process.env.NODE_ENV !== \"production\") && mode && mode !== \"in-out\" && mode !== \"out-in\" && mode !== \"default\") {\n        warn$1(`invalid <transition> mode: ${mode}`);\n      }\n      if (state.isLeaving) {\n        return emptyPlaceholder(child);\n      }\n      const innerChild = getKeepAliveChild(child);\n      if (!innerChild) {\n        return emptyPlaceholder(child);\n      }\n      let enterHooks = resolveTransitionHooks(\n        innerChild,\n        rawProps,\n        state,\n        instance,\n        // #11061, ensure enterHooks is fresh after clone\n        (hooks) => enterHooks = hooks\n      );\n      setTransitionHooks(innerChild, enterHooks);\n      const oldChild = instance.subTree;\n      const oldInnerChild = oldChild && getKeepAliveChild(oldChild);\n      if (oldInnerChild && oldInnerChild.type !== Comment && !isSameVNodeType(innerChild, oldInnerChild) && recursiveGetSubtree(instance).type !== Comment) {\n        const leavingHooks = resolveTransitionHooks(\n          oldInnerChild,\n          rawProps,\n          state,\n          instance\n        );\n        setTransitionHooks(oldInnerChild, leavingHooks);\n        if (mode === \"out-in\" && innerChild.type !== Comment) {\n          state.isLeaving = true;\n          leavingHooks.afterLeave = () => {\n            state.isLeaving = false;\n            if (instance.update.active !== false) {\n              instance.effect.dirty = true;\n              instance.update();\n            }\n          };\n          return emptyPlaceholder(child);\n        } else if (mode === \"in-out\" && innerChild.type !== Comment) {\n          leavingHooks.delayLeave = (el, earlyRemove, delayedLeave) => {\n            const leavingVNodesCache = getLeavingNodesForType(\n              state,\n              oldInnerChild\n            );\n            leavingVNodesCache[String(oldInnerChild.key)] = oldInnerChild;\n            el[leaveCbKey] = () => {\n              earlyRemove();\n              el[leaveCbKey] = void 0;\n              delete enterHooks.delayedLeave;\n            };\n            enterHooks.delayedLeave = delayedLeave;\n          };\n        }\n      }\n      return child;\n    };\n  }\n};\nconst BaseTransition = BaseTransitionImpl;\nfunction getLeavingNodesForType(state, vnode) {\n  const { leavingVNodes } = state;\n  let leavingVNodesCache = leavingVNodes.get(vnode.type);\n  if (!leavingVNodesCache) {\n    leavingVNodesCache = /* @__PURE__ */ Object.create(null);\n    leavingVNodes.set(vnode.type, leavingVNodesCache);\n  }\n  return leavingVNodesCache;\n}\nfunction resolveTransitionHooks(vnode, props, state, instance, postClone) {\n  const {\n    appear,\n    mode,\n    persisted = false,\n    onBeforeEnter,\n    onEnter,\n    onAfterEnter,\n    onEnterCancelled,\n    onBeforeLeave,\n    onLeave,\n    onAfterLeave,\n    onLeaveCancelled,\n    onBeforeAppear,\n    onAppear,\n    onAfterAppear,\n    onAppearCancelled\n  } = props;\n  const key = String(vnode.key);\n  const leavingVNodesCache = getLeavingNodesForType(state, vnode);\n  const callHook = (hook, args) => {\n    hook && callWithAsyncErrorHandling(\n      hook,\n      instance,\n      9,\n      args\n    );\n  };\n  const callAsyncHook = (hook, args) => {\n    const done = args[1];\n    callHook(hook, args);\n    if (isArray(hook)) {\n      if (hook.every((hook2) => hook2.length <= 1)) done();\n    } else if (hook.length <= 1) {\n      done();\n    }\n  };\n  const hooks = {\n    mode,\n    persisted,\n    beforeEnter(el) {\n      let hook = onBeforeEnter;\n      if (!state.isMounted) {\n        if (appear) {\n          hook = onBeforeAppear || onBeforeEnter;\n        } else {\n          return;\n        }\n      }\n      if (el[leaveCbKey]) {\n        el[leaveCbKey](\n          true\n          /* cancelled */\n        );\n      }\n      const leavingVNode = leavingVNodesCache[key];\n      if (leavingVNode && isSameVNodeType(vnode, leavingVNode) && leavingVNode.el[leaveCbKey]) {\n        leavingVNode.el[leaveCbKey]();\n      }\n      callHook(hook, [el]);\n    },\n    enter(el) {\n      let hook = onEnter;\n      let afterHook = onAfterEnter;\n      let cancelHook = onEnterCancelled;\n      if (!state.isMounted) {\n        if (appear) {\n          hook = onAppear || onEnter;\n          afterHook = onAfterAppear || onAfterEnter;\n          cancelHook = onAppearCancelled || onEnterCancelled;\n        } else {\n          return;\n        }\n      }\n      let called = false;\n      const done = el[enterCbKey] = (cancelled) => {\n        if (called) return;\n        called = true;\n        if (cancelled) {\n          callHook(cancelHook, [el]);\n        } else {\n          callHook(afterHook, [el]);\n        }\n        if (hooks.delayedLeave) {\n          hooks.delayedLeave();\n        }\n        el[enterCbKey] = void 0;\n      };\n      if (hook) {\n        callAsyncHook(hook, [el, done]);\n      } else {\n        done();\n      }\n    },\n    leave(el, remove) {\n      const key2 = String(vnode.key);\n      if (el[enterCbKey]) {\n        el[enterCbKey](\n          true\n          /* cancelled */\n        );\n      }\n      if (state.isUnmounting) {\n        return remove();\n      }\n      callHook(onBeforeLeave, [el]);\n      let called = false;\n      const done = el[leaveCbKey] = (cancelled) => {\n        if (called) return;\n        called = true;\n        remove();\n        if (cancelled) {\n          callHook(onLeaveCancelled, [el]);\n        } else {\n          callHook(onAfterLeave, [el]);\n        }\n        el[leaveCbKey] = void 0;\n        if (leavingVNodesCache[key2] === vnode) {\n          delete leavingVNodesCache[key2];\n        }\n      };\n      leavingVNodesCache[key2] = vnode;\n      if (onLeave) {\n        callAsyncHook(onLeave, [el, done]);\n      } else {\n        done();\n      }\n    },\n    clone(vnode2) {\n      const hooks2 = resolveTransitionHooks(\n        vnode2,\n        props,\n        state,\n        instance,\n        postClone\n      );\n      if (postClone) postClone(hooks2);\n      return hooks2;\n    }\n  };\n  return hooks;\n}\nfunction emptyPlaceholder(vnode) {\n  if (isKeepAlive(vnode)) {\n    vnode = cloneVNode(vnode);\n    vnode.children = null;\n    return vnode;\n  }\n}\nfunction getKeepAliveChild(vnode) {\n  if (!isKeepAlive(vnode)) {\n    return vnode;\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") && vnode.component) {\n    return vnode.component.subTree;\n  }\n  const { shapeFlag, children } = vnode;\n  if (children) {\n    if (shapeFlag & 16) {\n      return children[0];\n    }\n    if (shapeFlag & 32 && isFunction(children.default)) {\n      return children.default();\n    }\n  }\n}\nfunction setTransitionHooks(vnode, hooks) {\n  if (vnode.shapeFlag & 6 && vnode.component) {\n    setTransitionHooks(vnode.component.subTree, hooks);\n  } else if (vnode.shapeFlag & 128) {\n    vnode.ssContent.transition = hooks.clone(vnode.ssContent);\n    vnode.ssFallback.transition = hooks.clone(vnode.ssFallback);\n  } else {\n    vnode.transition = hooks;\n  }\n}\nfunction getTransitionRawChildren(children, keepComment = false, parentKey) {\n  let ret = [];\n  let keyedFragmentCount = 0;\n  for (let i = 0; i < children.length; i++) {\n    let child = children[i];\n    const key = parentKey == null ? child.key : String(parentKey) + String(child.key != null ? child.key : i);\n    if (child.type === Fragment) {\n      if (child.patchFlag & 128) keyedFragmentCount++;\n      ret = ret.concat(\n        getTransitionRawChildren(child.children, keepComment, key)\n      );\n    } else if (keepComment || child.type !== Comment) {\n      ret.push(key != null ? cloneVNode(child, { key }) : child);\n    }\n  }\n  if (keyedFragmentCount > 1) {\n    for (let i = 0; i < ret.length; i++) {\n      ret[i].patchFlag = -2;\n    }\n  }\n  return ret;\n}\n\nconst isTeleport = (type) => type.__isTeleport;\nconst isTeleportDisabled = (props) => props && (props.disabled || props.disabled === \"\");\nconst isTargetSVG = (target) => typeof SVGElement !== \"undefined\" && target instanceof SVGElement;\nconst isTargetMathML = (target) => typeof MathMLElement === \"function\" && target instanceof MathMLElement;\nconst resolveTarget = (props, select) => {\n  const targetSelector = props && props.to;\n  if (isString(targetSelector)) {\n    if (!select) {\n      !!(process.env.NODE_ENV !== \"production\") && warn$1(\n        `Current renderer does not support string target for Teleports. (missing querySelector renderer option)`\n      );\n      return null;\n    } else {\n      const target = select(targetSelector);\n      if (!!(process.env.NODE_ENV !== \"production\") && !target && !isTeleportDisabled(props)) {\n        warn$1(\n          `Failed to locate Teleport target with selector \"${targetSelector}\". Note the target element must exist before the component is mounted - i.e. the target cannot be rendered by the component itself, and ideally should be outside of the entire Vue component tree.`\n        );\n      }\n      return target;\n    }\n  } else {\n    if (!!(process.env.NODE_ENV !== \"production\") && !targetSelector && !isTeleportDisabled(props)) {\n      warn$1(`Invalid Teleport target: ${targetSelector}`);\n    }\n    return targetSelector;\n  }\n};\nconst TeleportImpl = {\n  name: \"Teleport\",\n  __isTeleport: true,\n  process(n1, n2, container, anchor, parentComponent, parentSuspense, namespace, slotScopeIds, optimized, internals) {\n    const {\n      mc: mountChildren,\n      pc: patchChildren,\n      pbc: patchBlockChildren,\n      o: { insert, querySelector, createText, createComment }\n    } = internals;\n    const disabled = isTeleportDisabled(n2.props);\n    let { shapeFlag, children, dynamicChildren } = n2;\n    if (!!(process.env.NODE_ENV !== \"production\") && isHmrUpdating) {\n      optimized = false;\n      dynamicChildren = null;\n    }\n    if (n1 == null) {\n      const placeholder = n2.el = !!(process.env.NODE_ENV !== \"production\") ? createComment(\"teleport start\") : createText(\"\");\n      const mainAnchor = n2.anchor = !!(process.env.NODE_ENV !== \"production\") ? createComment(\"teleport end\") : createText(\"\");\n      insert(placeholder, container, anchor);\n      insert(mainAnchor, container, anchor);\n      const target = n2.target = resolveTarget(n2.props, querySelector);\n      const targetAnchor = n2.targetAnchor = createText(\"\");\n      if (target) {\n        insert(targetAnchor, target);\n        if (namespace === \"svg\" || isTargetSVG(target)) {\n          namespace = \"svg\";\n        } else if (namespace === \"mathml\" || isTargetMathML(target)) {\n          namespace = \"mathml\";\n        }\n      } else if (!!(process.env.NODE_ENV !== \"production\") && !disabled) {\n        warn$1(\"Invalid Teleport target on mount:\", target, `(${typeof target})`);\n      }\n      const mount = (container2, anchor2) => {\n        if (shapeFlag & 16) {\n          mountChildren(\n            children,\n            container2,\n            anchor2,\n            parentComponent,\n            parentSuspense,\n            namespace,\n            slotScopeIds,\n            optimized\n          );\n        }\n      };\n      if (disabled) {\n        mount(container, mainAnchor);\n      } else if (target) {\n        mount(target, targetAnchor);\n      }\n    } else {\n      n2.el = n1.el;\n      const mainAnchor = n2.anchor = n1.anchor;\n      const target = n2.target = n1.target;\n      const targetAnchor = n2.targetAnchor = n1.targetAnchor;\n      const wasDisabled = isTeleportDisabled(n1.props);\n      const currentContainer = wasDisabled ? container : target;\n      const currentAnchor = wasDisabled ? mainAnchor : targetAnchor;\n      if (namespace === \"svg\" || isTargetSVG(target)) {\n        namespace = \"svg\";\n      } else if (namespace === \"mathml\" || isTargetMathML(target)) {\n        namespace = \"mathml\";\n      }\n      if (dynamicChildren) {\n        patchBlockChildren(\n          n1.dynamicChildren,\n          dynamicChildren,\n          currentContainer,\n          parentComponent,\n          parentSuspense,\n          namespace,\n          slotScopeIds\n        );\n        traverseStaticChildren(n1, n2, true);\n      } else if (!optimized) {\n        patchChildren(\n          n1,\n          n2,\n          currentContainer,\n          currentAnchor,\n          parentComponent,\n          parentSuspense,\n          namespace,\n          slotScopeIds,\n          false\n        );\n      }\n      if (disabled) {\n        if (!wasDisabled) {\n          moveTeleport(\n            n2,\n            container,\n            mainAnchor,\n            internals,\n            1\n          );\n        } else {\n          if (n2.props && n1.props && n2.props.to !== n1.props.to) {\n            n2.props.to = n1.props.to;\n          }\n        }\n      } else {\n        if ((n2.props && n2.props.to) !== (n1.props && n1.props.to)) {\n          const nextTarget = n2.target = resolveTarget(\n            n2.props,\n            querySelector\n          );\n          if (nextTarget) {\n            moveTeleport(\n              n2,\n              nextTarget,\n              null,\n              internals,\n              0\n            );\n          } else if (!!(process.env.NODE_ENV !== \"production\")) {\n            warn$1(\n              \"Invalid Teleport target on update:\",\n              target,\n              `(${typeof target})`\n            );\n          }\n        } else if (wasDisabled) {\n          moveTeleport(\n            n2,\n            target,\n            targetAnchor,\n            internals,\n            1\n          );\n        }\n      }\n    }\n    updateCssVars(n2);\n  },\n  remove(vnode, parentComponent, parentSuspense, { um: unmount, o: { remove: hostRemove } }, doRemove) {\n    const { shapeFlag, children, anchor, targetAnchor, target, props } = vnode;\n    if (target) {\n      hostRemove(targetAnchor);\n    }\n    doRemove && hostRemove(anchor);\n    if (shapeFlag & 16) {\n      const shouldRemove = doRemove || !isTeleportDisabled(props);\n      for (let i = 0; i < children.length; i++) {\n        const child = children[i];\n        unmount(\n          child,\n          parentComponent,\n          parentSuspense,\n          shouldRemove,\n          !!child.dynamicChildren\n        );\n      }\n    }\n  },\n  move: moveTeleport,\n  hydrate: hydrateTeleport\n};\nfunction moveTeleport(vnode, container, parentAnchor, { o: { insert }, m: move }, moveType = 2) {\n  if (moveType === 0) {\n    insert(vnode.targetAnchor, container, parentAnchor);\n  }\n  const { el, anchor, shapeFlag, children, props } = vnode;\n  const isReorder = moveType === 2;\n  if (isReorder) {\n    insert(el, container, parentAnchor);\n  }\n  if (!isReorder || isTeleportDisabled(props)) {\n    if (shapeFlag & 16) {\n      for (let i = 0; i < children.length; i++) {\n        move(\n          children[i],\n          container,\n          parentAnchor,\n          2\n        );\n      }\n    }\n  }\n  if (isReorder) {\n    insert(anchor, container, parentAnchor);\n  }\n}\nfunction hydrateTeleport(node, vnode, parentComponent, parentSuspense, slotScopeIds, optimized, {\n  o: { nextSibling, parentNode, querySelector }\n}, hydrateChildren) {\n  const target = vnode.target = resolveTarget(\n    vnode.props,\n    querySelector\n  );\n  if (target) {\n    const targetNode = target._lpa || target.firstChild;\n    if (vnode.shapeFlag & 16) {\n      if (isTeleportDisabled(vnode.props)) {\n        vnode.anchor = hydrateChildren(\n          nextSibling(node),\n          vnode,\n          parentNode(node),\n          parentComponent,\n          parentSuspense,\n          slotScopeIds,\n          optimized\n        );\n        vnode.targetAnchor = targetNode;\n      } else {\n        vnode.anchor = nextSibling(node);\n        let targetAnchor = targetNode;\n        while (targetAnchor) {\n          targetAnchor = nextSibling(targetAnchor);\n          if (targetAnchor && targetAnchor.nodeType === 8 && targetAnchor.data === \"teleport anchor\") {\n            vnode.targetAnchor = targetAnchor;\n            target._lpa = vnode.targetAnchor && nextSibling(vnode.targetAnchor);\n            break;\n          }\n        }\n        hydrateChildren(\n          targetNode,\n          vnode,\n          target,\n          parentComponent,\n          parentSuspense,\n          slotScopeIds,\n          optimized\n        );\n      }\n    }\n    updateCssVars(vnode);\n  }\n  return vnode.anchor && nextSibling(vnode.anchor);\n}\nconst Teleport = TeleportImpl;\nfunction updateCssVars(vnode) {\n  const ctx = vnode.ctx;\n  if (ctx && ctx.ut) {\n    let node = vnode.children[0].el;\n    while (node && node !== vnode.targetAnchor) {\n      if (node.nodeType === 1) node.setAttribute(\"data-v-owner\", ctx.uid);\n      node = node.nextSibling;\n    }\n    ctx.ut();\n  }\n}\n\nconst Fragment = Symbol.for(\"v-fgt\");\nconst Text = Symbol.for(\"v-txt\");\nconst Comment = Symbol.for(\"v-cmt\");\nconst Static = Symbol.for(\"v-stc\");\nconst blockStack = [];\nlet currentBlock = null;\nfunction openBlock(disableTracking = false) {\n  blockStack.push(currentBlock = disableTracking ? null : []);\n}\nfunction closeBlock() {\n  blockStack.pop();\n  currentBlock = blockStack[blockStack.length - 1] || null;\n}\nlet isBlockTreeEnabled = 1;\nfunction setBlockTracking(value) {\n  isBlockTreeEnabled += value;\n}\nfunction setupBlock(vnode) {\n  vnode.dynamicChildren = isBlockTreeEnabled > 0 ? currentBlock || EMPTY_ARR : null;\n  closeBlock();\n  if (isBlockTreeEnabled > 0 && currentBlock) {\n    currentBlock.push(vnode);\n  }\n  return vnode;\n}\nfunction createElementBlock(type, props, children, patchFlag, dynamicProps, shapeFlag) {\n  return setupBlock(\n    createBaseVNode(\n      type,\n      props,\n      children,\n      patchFlag,\n      dynamicProps,\n      shapeFlag,\n      true\n    )\n  );\n}\nfunction createBlock(type, props, children, patchFlag, dynamicProps) {\n  return setupBlock(\n    createVNode(\n      type,\n      props,\n      children,\n      patchFlag,\n      dynamicProps,\n      true\n    )\n  );\n}\nfunction isVNode(value) {\n  return value ? value.__v_isVNode === true : false;\n}\nfunction isSameVNodeType(n1, n2) {\n  if (!!(process.env.NODE_ENV !== \"production\") && n2.shapeFlag & 6 && hmrDirtyComponents.has(n2.type)) {\n    n1.shapeFlag &= ~256;\n    n2.shapeFlag &= ~512;\n    return false;\n  }\n  return n1.type === n2.type && n1.key === n2.key;\n}\nlet vnodeArgsTransformer;\nfunction transformVNodeArgs(transformer) {\n  vnodeArgsTransformer = transformer;\n}\nconst createVNodeWithArgsTransform = (...args) => {\n  return _createVNode(\n    ...vnodeArgsTransformer ? vnodeArgsTransformer(args, currentRenderingInstance) : args\n  );\n};\nconst normalizeKey = ({ key }) => key != null ? key : null;\nconst normalizeRef = ({\n  ref,\n  ref_key,\n  ref_for\n}) => {\n  if (typeof ref === \"number\") {\n    ref = \"\" + ref;\n  }\n  return ref != null ? isString(ref) || isRef(ref) || isFunction(ref) ? { i: currentRenderingInstance, r: ref, k: ref_key, f: !!ref_for } : ref : null;\n};\nfunction createBaseVNode(type, props = null, children = null, patchFlag = 0, dynamicProps = null, shapeFlag = type === Fragment ? 0 : 1, isBlockNode = false, needFullChildrenNormalization = false) {\n  const vnode = {\n    __v_isVNode: true,\n    __v_skip: true,\n    type,\n    props,\n    key: props && normalizeKey(props),\n    ref: props && normalizeRef(props),\n    scopeId: currentScopeId,\n    slotScopeIds: null,\n    children,\n    component: null,\n    suspense: null,\n    ssContent: null,\n    ssFallback: null,\n    dirs: null,\n    transition: null,\n    el: null,\n    anchor: null,\n    target: null,\n    targetAnchor: null,\n    staticCount: 0,\n    shapeFlag,\n    patchFlag,\n    dynamicProps,\n    dynamicChildren: null,\n    appContext: null,\n    ctx: currentRenderingInstance\n  };\n  if (needFullChildrenNormalization) {\n    normalizeChildren(vnode, children);\n    if (shapeFlag & 128) {\n      type.normalize(vnode);\n    }\n  } else if (children) {\n    vnode.shapeFlag |= isString(children) ? 8 : 16;\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") && vnode.key !== vnode.key) {\n    warn$1(`VNode created with invalid key (NaN). VNode type:`, vnode.type);\n  }\n  if (isBlockTreeEnabled > 0 && // avoid a block node from tracking itself\n  !isBlockNode && // has current parent block\n  currentBlock && // presence of a patch flag indicates this node needs patching on updates.\n  // component nodes also should always be patched, because even if the\n  // component doesn't need to update, it needs to persist the instance on to\n  // the next vnode so that it can be properly unmounted later.\n  (vnode.patchFlag > 0 || shapeFlag & 6) && // the EVENTS flag is only for hydration and if it is the only flag, the\n  // vnode should not be considered dynamic due to handler caching.\n  vnode.patchFlag !== 32) {\n    currentBlock.push(vnode);\n  }\n  return vnode;\n}\nconst createVNode = !!(process.env.NODE_ENV !== \"production\") ? createVNodeWithArgsTransform : _createVNode;\nfunction _createVNode(type, props = null, children = null, patchFlag = 0, dynamicProps = null, isBlockNode = false) {\n  if (!type || type === NULL_DYNAMIC_COMPONENT) {\n    if (!!(process.env.NODE_ENV !== \"production\") && !type) {\n      warn$1(`Invalid vnode type when creating vnode: ${type}.`);\n    }\n    type = Comment;\n  }\n  if (isVNode(type)) {\n    const cloned = cloneVNode(\n      type,\n      props,\n      true\n      /* mergeRef: true */\n    );\n    if (children) {\n      normalizeChildren(cloned, children);\n    }\n    if (isBlockTreeEnabled > 0 && !isBlockNode && currentBlock) {\n      if (cloned.shapeFlag & 6) {\n        currentBlock[currentBlock.indexOf(type)] = cloned;\n      } else {\n        currentBlock.push(cloned);\n      }\n    }\n    cloned.patchFlag = -2;\n    return cloned;\n  }\n  if (isClassComponent(type)) {\n    type = type.__vccOpts;\n  }\n  if (props) {\n    props = guardReactiveProps(props);\n    let { class: klass, style } = props;\n    if (klass && !isString(klass)) {\n      props.class = normalizeClass(klass);\n    }\n    if (isObject(style)) {\n      if (isProxy(style) && !isArray(style)) {\n        style = extend({}, style);\n      }\n      props.style = normalizeStyle(style);\n    }\n  }\n  const shapeFlag = isString(type) ? 1 : isSuspense(type) ? 128 : isTeleport(type) ? 64 : isObject(type) ? 4 : isFunction(type) ? 2 : 0;\n  if (!!(process.env.NODE_ENV !== \"production\") && shapeFlag & 4 && isProxy(type)) {\n    type = toRaw(type);\n    warn$1(\n      `Vue received a Component that was made a reactive object. This can lead to unnecessary performance overhead and should be avoided by marking the component with \\`markRaw\\` or using \\`shallowRef\\` instead of \\`ref\\`.`,\n      `\nComponent that was made reactive: `,\n      type\n    );\n  }\n  return createBaseVNode(\n    type,\n    props,\n    children,\n    patchFlag,\n    dynamicProps,\n    shapeFlag,\n    isBlockNode,\n    true\n  );\n}\nfunction guardReactiveProps(props) {\n  if (!props) return null;\n  return isProxy(props) || isInternalObject(props) ? extend({}, props) : props;\n}\nfunction cloneVNode(vnode, extraProps, mergeRef = false, cloneTransition = false) {\n  const { props, ref, patchFlag, children, transition } = vnode;\n  const mergedProps = extraProps ? mergeProps(props || {}, extraProps) : props;\n  const cloned = {\n    __v_isVNode: true,\n    __v_skip: true,\n    type: vnode.type,\n    props: mergedProps,\n    key: mergedProps && normalizeKey(mergedProps),\n    ref: extraProps && extraProps.ref ? (\n      // #2078 in the case of <component :is=\"vnode\" ref=\"extra\"/>\n      // if the vnode itself already has a ref, cloneVNode will need to merge\n      // the refs so the single vnode can be set on multiple refs\n      mergeRef && ref ? isArray(ref) ? ref.concat(normalizeRef(extraProps)) : [ref, normalizeRef(extraProps)] : normalizeRef(extraProps)\n    ) : ref,\n    scopeId: vnode.scopeId,\n    slotScopeIds: vnode.slotScopeIds,\n    children: !!(process.env.NODE_ENV !== \"production\") && patchFlag === -1 && isArray(children) ? children.map(deepCloneVNode) : children,\n    target: vnode.target,\n    targetAnchor: vnode.targetAnchor,\n    staticCount: vnode.staticCount,\n    shapeFlag: vnode.shapeFlag,\n    // if the vnode is cloned with extra props, we can no longer assume its\n    // existing patch flag to be reliable and need to add the FULL_PROPS flag.\n    // note: preserve flag for fragments since they use the flag for children\n    // fast paths only.\n    patchFlag: extraProps && vnode.type !== Fragment ? patchFlag === -1 ? 16 : patchFlag | 16 : patchFlag,\n    dynamicProps: vnode.dynamicProps,\n    dynamicChildren: vnode.dynamicChildren,\n    appContext: vnode.appContext,\n    dirs: vnode.dirs,\n    transition,\n    // These should technically only be non-null on mounted VNodes. However,\n    // they *should* be copied for kept-alive vnodes. So we just always copy\n    // them since them being non-null during a mount doesn't affect the logic as\n    // they will simply be overwritten.\n    component: vnode.component,\n    suspense: vnode.suspense,\n    ssContent: vnode.ssContent && cloneVNode(vnode.ssContent),\n    ssFallback: vnode.ssFallback && cloneVNode(vnode.ssFallback),\n    el: vnode.el,\n    anchor: vnode.anchor,\n    ctx: vnode.ctx,\n    ce: vnode.ce\n  };\n  if (transition && cloneTransition) {\n    setTransitionHooks(\n      cloned,\n      transition.clone(cloned)\n    );\n  }\n  return cloned;\n}\nfunction deepCloneVNode(vnode) {\n  const cloned = cloneVNode(vnode);\n  if (isArray(vnode.children)) {\n    cloned.children = vnode.children.map(deepCloneVNode);\n  }\n  return cloned;\n}\nfunction createTextVNode(text = \" \", flag = 0) {\n  return createVNode(Text, null, text, flag);\n}\nfunction createStaticVNode(content, numberOfNodes) {\n  const vnode = createVNode(Static, null, content);\n  vnode.staticCount = numberOfNodes;\n  return vnode;\n}\nfunction createCommentVNode(text = \"\", asBlock = false) {\n  return asBlock ? (openBlock(), createBlock(Comment, null, text)) : createVNode(Comment, null, text);\n}\nfunction normalizeVNode(child) {\n  if (child == null || typeof child === \"boolean\") {\n    return createVNode(Comment);\n  } else if (isArray(child)) {\n    return createVNode(\n      Fragment,\n      null,\n      // #3666, avoid reference pollution when reusing vnode\n      child.slice()\n    );\n  } else if (typeof child === \"object\") {\n    return cloneIfMounted(child);\n  } else {\n    return createVNode(Text, null, String(child));\n  }\n}\nfunction cloneIfMounted(child) {\n  return child.el === null && child.patchFlag !== -1 || child.memo ? child : cloneVNode(child);\n}\nfunction normalizeChildren(vnode, children) {\n  let type = 0;\n  const { shapeFlag } = vnode;\n  if (children == null) {\n    children = null;\n  } else if (isArray(children)) {\n    type = 16;\n  } else if (typeof children === \"object\") {\n    if (shapeFlag & (1 | 64)) {\n      const slot = children.default;\n      if (slot) {\n        slot._c && (slot._d = false);\n        normalizeChildren(vnode, slot());\n        slot._c && (slot._d = true);\n      }\n      return;\n    } else {\n      type = 32;\n      const slotFlag = children._;\n      if (!slotFlag && !isInternalObject(children)) {\n        children._ctx = currentRenderingInstance;\n      } else if (slotFlag === 3 && currentRenderingInstance) {\n        if (currentRenderingInstance.slots._ === 1) {\n          children._ = 1;\n        } else {\n          children._ = 2;\n          vnode.patchFlag |= 1024;\n        }\n      }\n    }\n  } else if (isFunction(children)) {\n    children = { default: children, _ctx: currentRenderingInstance };\n    type = 32;\n  } else {\n    children = String(children);\n    if (shapeFlag & 64) {\n      type = 16;\n      children = [createTextVNode(children)];\n    } else {\n      type = 8;\n    }\n  }\n  vnode.children = children;\n  vnode.shapeFlag |= type;\n}\nfunction mergeProps(...args) {\n  const ret = {};\n  for (let i = 0; i < args.length; i++) {\n    const toMerge = args[i];\n    for (const key in toMerge) {\n      if (key === \"class\") {\n        if (ret.class !== toMerge.class) {\n          ret.class = normalizeClass([ret.class, toMerge.class]);\n        }\n      } else if (key === \"style\") {\n        ret.style = normalizeStyle([ret.style, toMerge.style]);\n      } else if (isOn(key)) {\n        const existing = ret[key];\n        const incoming = toMerge[key];\n        if (incoming && existing !== incoming && !(isArray(existing) && existing.includes(incoming))) {\n          ret[key] = existing ? [].concat(existing, incoming) : incoming;\n        }\n      } else if (key !== \"\") {\n        ret[key] = toMerge[key];\n      }\n    }\n  }\n  return ret;\n}\nfunction invokeVNodeHook(hook, instance, vnode, prevVNode = null) {\n  callWithAsyncErrorHandling(hook, instance, 7, [\n    vnode,\n    prevVNode\n  ]);\n}\n\nconst emptyAppContext = createAppContext();\nlet uid = 0;\nfunction createComponentInstance(vnode, parent, suspense) {\n  const type = vnode.type;\n  const appContext = (parent ? parent.appContext : vnode.appContext) || emptyAppContext;\n  const instance = {\n    uid: uid++,\n    vnode,\n    type,\n    parent,\n    appContext,\n    root: null,\n    // to be immediately set\n    next: null,\n    subTree: null,\n    // will be set synchronously right after creation\n    effect: null,\n    update: null,\n    // will be set synchronously right after creation\n    scope: new EffectScope(\n      true\n      /* detached */\n    ),\n    render: null,\n    proxy: null,\n    exposed: null,\n    exposeProxy: null,\n    withProxy: null,\n    provides: parent ? parent.provides : Object.create(appContext.provides),\n    accessCache: null,\n    renderCache: [],\n    // local resolved assets\n    components: null,\n    directives: null,\n    // resolved props and emits options\n    propsOptions: normalizePropsOptions(type, appContext),\n    emitsOptions: normalizeEmitsOptions(type, appContext),\n    // emit\n    emit: null,\n    // to be set immediately\n    emitted: null,\n    // props default value\n    propsDefaults: EMPTY_OBJ,\n    // inheritAttrs\n    inheritAttrs: type.inheritAttrs,\n    // state\n    ctx: EMPTY_OBJ,\n    data: EMPTY_OBJ,\n    props: EMPTY_OBJ,\n    attrs: EMPTY_OBJ,\n    slots: EMPTY_OBJ,\n    refs: EMPTY_OBJ,\n    setupState: EMPTY_OBJ,\n    setupContext: null,\n    attrsProxy: null,\n    slotsProxy: null,\n    // suspense related\n    suspense,\n    suspenseId: suspense ? suspense.pendingId : 0,\n    asyncDep: null,\n    asyncResolved: false,\n    // lifecycle hooks\n    // not using enums here because it results in computed properties\n    isMounted: false,\n    isUnmounted: false,\n    isDeactivated: false,\n    bc: null,\n    c: null,\n    bm: null,\n    m: null,\n    bu: null,\n    u: null,\n    um: null,\n    bum: null,\n    da: null,\n    a: null,\n    rtg: null,\n    rtc: null,\n    ec: null,\n    sp: null\n  };\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    instance.ctx = createDevRenderContext(instance);\n  } else {\n    instance.ctx = { _: instance };\n  }\n  instance.root = parent ? parent.root : instance;\n  instance.emit = emit.bind(null, instance);\n  if (vnode.ce) {\n    vnode.ce(instance);\n  }\n  return instance;\n}\nlet currentInstance = null;\nconst getCurrentInstance = () => currentInstance || currentRenderingInstance;\nlet internalSetCurrentInstance;\nlet setInSSRSetupState;\n{\n  const g = getGlobalThis();\n  const registerGlobalSetter = (key, setter) => {\n    let setters;\n    if (!(setters = g[key])) setters = g[key] = [];\n    setters.push(setter);\n    return (v) => {\n      if (setters.length > 1) setters.forEach((set) => set(v));\n      else setters[0](v);\n    };\n  };\n  internalSetCurrentInstance = registerGlobalSetter(\n    `__VUE_INSTANCE_SETTERS__`,\n    (v) => currentInstance = v\n  );\n  setInSSRSetupState = registerGlobalSetter(\n    `__VUE_SSR_SETTERS__`,\n    (v) => isInSSRComponentSetup = v\n  );\n}\nconst setCurrentInstance = (instance) => {\n  const prev = currentInstance;\n  internalSetCurrentInstance(instance);\n  instance.scope.on();\n  return () => {\n    instance.scope.off();\n    internalSetCurrentInstance(prev);\n  };\n};\nconst unsetCurrentInstance = () => {\n  currentInstance && currentInstance.scope.off();\n  internalSetCurrentInstance(null);\n};\nconst isBuiltInTag = /* @__PURE__ */ makeMap(\"slot,component\");\nfunction validateComponentName(name, { isNativeTag }) {\n  if (isBuiltInTag(name) || isNativeTag(name)) {\n    warn$1(\n      \"Do not use built-in or reserved HTML elements as component id: \" + name\n    );\n  }\n}\nfunction isStatefulComponent(instance) {\n  return instance.vnode.shapeFlag & 4;\n}\nlet isInSSRComponentSetup = false;\nfunction setupComponent(instance, isSSR = false) {\n  isSSR && setInSSRSetupState(isSSR);\n  const { props, children } = instance.vnode;\n  const isStateful = isStatefulComponent(instance);\n  initProps(instance, props, isStateful, isSSR);\n  initSlots(instance, children);\n  const setupResult = isStateful ? setupStatefulComponent(instance, isSSR) : void 0;\n  isSSR && setInSSRSetupState(false);\n  return setupResult;\n}\nfunction setupStatefulComponent(instance, isSSR) {\n  var _a;\n  const Component = instance.type;\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    if (Component.name) {\n      validateComponentName(Component.name, instance.appContext.config);\n    }\n    if (Component.components) {\n      const names = Object.keys(Component.components);\n      for (let i = 0; i < names.length; i++) {\n        validateComponentName(names[i], instance.appContext.config);\n      }\n    }\n    if (Component.directives) {\n      const names = Object.keys(Component.directives);\n      for (let i = 0; i < names.length; i++) {\n        validateDirectiveName(names[i]);\n      }\n    }\n    if (Component.compilerOptions && isRuntimeOnly()) {\n      warn$1(\n        `\"compilerOptions\" is only supported when using a build of Vue that includes the runtime compiler. Since you are using a runtime-only build, the options should be passed via your build tool config instead.`\n      );\n    }\n  }\n  instance.accessCache = /* @__PURE__ */ Object.create(null);\n  instance.proxy = new Proxy(instance.ctx, PublicInstanceProxyHandlers);\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    exposePropsOnRenderContext(instance);\n  }\n  const { setup } = Component;\n  if (setup) {\n    const setupContext = instance.setupContext = setup.length > 1 ? createSetupContext(instance) : null;\n    const reset = setCurrentInstance(instance);\n    pauseTracking();\n    const setupResult = callWithErrorHandling(\n      setup,\n      instance,\n      0,\n      [\n        !!(process.env.NODE_ENV !== \"production\") ? shallowReadonly(instance.props) : instance.props,\n        setupContext\n      ]\n    );\n    resetTracking();\n    reset();\n    if (isPromise(setupResult)) {\n      setupResult.then(unsetCurrentInstance, unsetCurrentInstance);\n      if (isSSR) {\n        return setupResult.then((resolvedResult) => {\n          handleSetupResult(instance, resolvedResult, isSSR);\n        }).catch((e) => {\n          handleError(e, instance, 0);\n        });\n      } else {\n        instance.asyncDep = setupResult;\n        if (!!(process.env.NODE_ENV !== \"production\") && !instance.suspense) {\n          const name = (_a = Component.name) != null ? _a : \"Anonymous\";\n          warn$1(\n            `Component <${name}>: setup function returned a promise, but no <Suspense> boundary was found in the parent component tree. A component with async setup() must be nested in a <Suspense> in order to be rendered.`\n          );\n        }\n      }\n    } else {\n      handleSetupResult(instance, setupResult, isSSR);\n    }\n  } else {\n    finishComponentSetup(instance, isSSR);\n  }\n}\nfunction handleSetupResult(instance, setupResult, isSSR) {\n  if (isFunction(setupResult)) {\n    if (instance.type.__ssrInlineRender) {\n      instance.ssrRender = setupResult;\n    } else {\n      instance.render = setupResult;\n    }\n  } else if (isObject(setupResult)) {\n    if (!!(process.env.NODE_ENV !== \"production\") && isVNode(setupResult)) {\n      warn$1(\n        `setup() should not return VNodes directly - return a render function instead.`\n      );\n    }\n    if (!!(process.env.NODE_ENV !== \"production\") || __VUE_PROD_DEVTOOLS__) {\n      instance.devtoolsRawSetupState = setupResult;\n    }\n    instance.setupState = proxyRefs(setupResult);\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      exposeSetupStateOnRenderContext(instance);\n    }\n  } else if (!!(process.env.NODE_ENV !== \"production\") && setupResult !== void 0) {\n    warn$1(\n      `setup() should return an object. Received: ${setupResult === null ? \"null\" : typeof setupResult}`\n    );\n  }\n  finishComponentSetup(instance, isSSR);\n}\nlet compile;\nlet installWithProxy;\nfunction registerRuntimeCompiler(_compile) {\n  compile = _compile;\n  installWithProxy = (i) => {\n    if (i.render._rc) {\n      i.withProxy = new Proxy(i.ctx, RuntimeCompiledPublicInstanceProxyHandlers);\n    }\n  };\n}\nconst isRuntimeOnly = () => !compile;\nfunction finishComponentSetup(instance, isSSR, skipOptions) {\n  const Component = instance.type;\n  if (!instance.render) {\n    if (!isSSR && compile && !Component.render) {\n      const template = Component.template || resolveMergedOptions(instance).template;\n      if (template) {\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          startMeasure(instance, `compile`);\n        }\n        const { isCustomElement, compilerOptions } = instance.appContext.config;\n        const { delimiters, compilerOptions: componentCompilerOptions } = Component;\n        const finalCompilerOptions = extend(\n          extend(\n            {\n              isCustomElement,\n              delimiters\n            },\n            compilerOptions\n          ),\n          componentCompilerOptions\n        );\n        Component.render = compile(template, finalCompilerOptions);\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          endMeasure(instance, `compile`);\n        }\n      }\n    }\n    instance.render = Component.render || NOOP;\n    if (installWithProxy) {\n      installWithProxy(instance);\n    }\n  }\n  if (__VUE_OPTIONS_API__ && true) {\n    const reset = setCurrentInstance(instance);\n    pauseTracking();\n    try {\n      applyOptions(instance);\n    } finally {\n      resetTracking();\n      reset();\n    }\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") && !Component.render && instance.render === NOOP && !isSSR) {\n    if (!compile && Component.template) {\n      warn$1(\n        `Component provided template option but runtime compilation is not supported in this build of Vue.` + (` Configure your bundler to alias \"vue\" to \"vue/dist/vue.esm-bundler.js\".` )\n      );\n    } else {\n      warn$1(`Component is missing template or render function: `, Component);\n    }\n  }\n}\nconst attrsProxyHandlers = !!(process.env.NODE_ENV !== \"production\") ? {\n  get(target, key) {\n    markAttrsAccessed();\n    track(target, \"get\", \"\");\n    return target[key];\n  },\n  set() {\n    warn$1(`setupContext.attrs is readonly.`);\n    return false;\n  },\n  deleteProperty() {\n    warn$1(`setupContext.attrs is readonly.`);\n    return false;\n  }\n} : {\n  get(target, key) {\n    track(target, \"get\", \"\");\n    return target[key];\n  }\n};\nfunction getSlotsProxy(instance) {\n  return instance.slotsProxy || (instance.slotsProxy = new Proxy(instance.slots, {\n    get(target, key) {\n      track(instance, \"get\", \"$slots\");\n      return target[key];\n    }\n  }));\n}\nfunction createSetupContext(instance) {\n  const expose = (exposed) => {\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      if (instance.exposed) {\n        warn$1(`expose() should be called only once per setup().`);\n      }\n      if (exposed != null) {\n        let exposedType = typeof exposed;\n        if (exposedType === \"object\") {\n          if (isArray(exposed)) {\n            exposedType = \"array\";\n          } else if (isRef(exposed)) {\n            exposedType = \"ref\";\n          }\n        }\n        if (exposedType !== \"object\") {\n          warn$1(\n            `expose() should be passed a plain object, received ${exposedType}.`\n          );\n        }\n      }\n    }\n    instance.exposed = exposed || {};\n  };\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    let attrsProxy;\n    return Object.freeze({\n      get attrs() {\n        return attrsProxy || (attrsProxy = new Proxy(instance.attrs, attrsProxyHandlers));\n      },\n      get slots() {\n        return getSlotsProxy(instance);\n      },\n      get emit() {\n        return (event, ...args) => instance.emit(event, ...args);\n      },\n      expose\n    });\n  } else {\n    return {\n      attrs: new Proxy(instance.attrs, attrsProxyHandlers),\n      slots: instance.slots,\n      emit: instance.emit,\n      expose\n    };\n  }\n}\nfunction getComponentPublicInstance(instance) {\n  if (instance.exposed) {\n    return instance.exposeProxy || (instance.exposeProxy = new Proxy(proxyRefs(markRaw(instance.exposed)), {\n      get(target, key) {\n        if (key in target) {\n          return target[key];\n        } else if (key in publicPropertiesMap) {\n          return publicPropertiesMap[key](instance);\n        }\n      },\n      has(target, key) {\n        return key in target || key in publicPropertiesMap;\n      }\n    }));\n  } else {\n    return instance.proxy;\n  }\n}\nconst classifyRE = /(?:^|[-_])(\\w)/g;\nconst classify = (str) => str.replace(classifyRE, (c) => c.toUpperCase()).replace(/[-_]/g, \"\");\nfunction getComponentName(Component, includeInferred = true) {\n  return isFunction(Component) ? Component.displayName || Component.name : Component.name || includeInferred && Component.__name;\n}\nfunction formatComponentName(instance, Component, isRoot = false) {\n  let name = getComponentName(Component);\n  if (!name && Component.__file) {\n    const match = Component.__file.match(/([^/\\\\]+)\\.\\w+$/);\n    if (match) {\n      name = match[1];\n    }\n  }\n  if (!name && instance && instance.parent) {\n    const inferFromRegistry = (registry) => {\n      for (const key in registry) {\n        if (registry[key] === Component) {\n          return key;\n        }\n      }\n    };\n    name = inferFromRegistry(\n      instance.components || instance.parent.type.components\n    ) || inferFromRegistry(instance.appContext.components);\n  }\n  return name ? classify(name) : isRoot ? `App` : `Anonymous`;\n}\nfunction isClassComponent(value) {\n  return isFunction(value) && \"__vccOpts\" in value;\n}\n\nconst computed = (getterOrOptions, debugOptions) => {\n  const c = computed$1(getterOrOptions, debugOptions, isInSSRComponentSetup);\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    const i = getCurrentInstance();\n    if (i && i.appContext.config.warnRecursiveComputed) {\n      c._warnRecursive = true;\n    }\n  }\n  return c;\n};\n\nfunction useModel(props, name, options = EMPTY_OBJ) {\n  const i = getCurrentInstance();\n  if (!!(process.env.NODE_ENV !== \"production\") && !i) {\n    warn$1(`useModel() called without active instance.`);\n    return ref();\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") && !i.propsOptions[0][name]) {\n    warn$1(`useModel() called with prop \"${name}\" which is not declared.`);\n    return ref();\n  }\n  const camelizedName = camelize(name);\n  const hyphenatedName = hyphenate(name);\n  const res = customRef((track, trigger) => {\n    let localValue;\n    watchSyncEffect(() => {\n      const propValue = props[name];\n      if (hasChanged(localValue, propValue)) {\n        localValue = propValue;\n        trigger();\n      }\n    });\n    return {\n      get() {\n        track();\n        return options.get ? options.get(localValue) : localValue;\n      },\n      set(value) {\n        const rawProps = i.vnode.props;\n        if (!(rawProps && // check if parent has passed v-model\n        (name in rawProps || camelizedName in rawProps || hyphenatedName in rawProps) && (`onUpdate:${name}` in rawProps || `onUpdate:${camelizedName}` in rawProps || `onUpdate:${hyphenatedName}` in rawProps)) && hasChanged(value, localValue)) {\n          localValue = value;\n          trigger();\n        }\n        i.emit(`update:${name}`, options.set ? options.set(value) : value);\n      }\n    };\n  });\n  const modifierKey = name === \"modelValue\" ? \"modelModifiers\" : `${name}Modifiers`;\n  res[Symbol.iterator] = () => {\n    let i2 = 0;\n    return {\n      next() {\n        if (i2 < 2) {\n          return { value: i2++ ? props[modifierKey] || {} : res, done: false };\n        } else {\n          return { done: true };\n        }\n      }\n    };\n  };\n  return res;\n}\n\nfunction h(type, propsOrChildren, children) {\n  const l = arguments.length;\n  if (l === 2) {\n    if (isObject(propsOrChildren) && !isArray(propsOrChildren)) {\n      if (isVNode(propsOrChildren)) {\n        return createVNode(type, null, [propsOrChildren]);\n      }\n      return createVNode(type, propsOrChildren);\n    } else {\n      return createVNode(type, null, propsOrChildren);\n    }\n  } else {\n    if (l > 3) {\n      children = Array.prototype.slice.call(arguments, 2);\n    } else if (l === 3 && isVNode(children)) {\n      children = [children];\n    }\n    return createVNode(type, propsOrChildren, children);\n  }\n}\n\nfunction initCustomFormatter() {\n  if (!!!(process.env.NODE_ENV !== \"production\") || typeof window === \"undefined\") {\n    return;\n  }\n  const vueStyle = { style: \"color:#3ba776\" };\n  const numberStyle = { style: \"color:#1677ff\" };\n  const stringStyle = { style: \"color:#f5222d\" };\n  const keywordStyle = { style: \"color:#eb2f96\" };\n  const formatter = {\n    header(obj) {\n      if (!isObject(obj)) {\n        return null;\n      }\n      if (obj.__isVue) {\n        return [\"div\", vueStyle, `VueInstance`];\n      } else if (isRef(obj)) {\n        return [\n          \"div\",\n          {},\n          [\"span\", vueStyle, genRefFlag(obj)],\n          \"<\",\n          formatValue(obj.value),\n          `>`\n        ];\n      } else if (isReactive(obj)) {\n        return [\n          \"div\",\n          {},\n          [\"span\", vueStyle, isShallow(obj) ? \"ShallowReactive\" : \"Reactive\"],\n          \"<\",\n          formatValue(obj),\n          `>${isReadonly(obj) ? ` (readonly)` : ``}`\n        ];\n      } else if (isReadonly(obj)) {\n        return [\n          \"div\",\n          {},\n          [\"span\", vueStyle, isShallow(obj) ? \"ShallowReadonly\" : \"Readonly\"],\n          \"<\",\n          formatValue(obj),\n          \">\"\n        ];\n      }\n      return null;\n    },\n    hasBody(obj) {\n      return obj && obj.__isVue;\n    },\n    body(obj) {\n      if (obj && obj.__isVue) {\n        return [\n          \"div\",\n          {},\n          ...formatInstance(obj.$)\n        ];\n      }\n    }\n  };\n  function formatInstance(instance) {\n    const blocks = [];\n    if (instance.type.props && instance.props) {\n      blocks.push(createInstanceBlock(\"props\", toRaw(instance.props)));\n    }\n    if (instance.setupState !== EMPTY_OBJ) {\n      blocks.push(createInstanceBlock(\"setup\", instance.setupState));\n    }\n    if (instance.data !== EMPTY_OBJ) {\n      blocks.push(createInstanceBlock(\"data\", toRaw(instance.data)));\n    }\n    const computed = extractKeys(instance, \"computed\");\n    if (computed) {\n      blocks.push(createInstanceBlock(\"computed\", computed));\n    }\n    const injected = extractKeys(instance, \"inject\");\n    if (injected) {\n      blocks.push(createInstanceBlock(\"injected\", injected));\n    }\n    blocks.push([\n      \"div\",\n      {},\n      [\n        \"span\",\n        {\n          style: keywordStyle.style + \";opacity:0.66\"\n        },\n        \"$ (internal): \"\n      ],\n      [\"object\", { object: instance }]\n    ]);\n    return blocks;\n  }\n  function createInstanceBlock(type, target) {\n    target = extend({}, target);\n    if (!Object.keys(target).length) {\n      return [\"span\", {}];\n    }\n    return [\n      \"div\",\n      { style: \"line-height:1.25em;margin-bottom:0.6em\" },\n      [\n        \"div\",\n        {\n          style: \"color:#476582\"\n        },\n        type\n      ],\n      [\n        \"div\",\n        {\n          style: \"padding-left:1.25em\"\n        },\n        ...Object.keys(target).map((key) => {\n          return [\n            \"div\",\n            {},\n            [\"span\", keywordStyle, key + \": \"],\n            formatValue(target[key], false)\n          ];\n        })\n      ]\n    ];\n  }\n  function formatValue(v, asRaw = true) {\n    if (typeof v === \"number\") {\n      return [\"span\", numberStyle, v];\n    } else if (typeof v === \"string\") {\n      return [\"span\", stringStyle, JSON.stringify(v)];\n    } else if (typeof v === \"boolean\") {\n      return [\"span\", keywordStyle, v];\n    } else if (isObject(v)) {\n      return [\"object\", { object: asRaw ? toRaw(v) : v }];\n    } else {\n      return [\"span\", stringStyle, String(v)];\n    }\n  }\n  function extractKeys(instance, type) {\n    const Comp = instance.type;\n    if (isFunction(Comp)) {\n      return;\n    }\n    const extracted = {};\n    for (const key in instance.ctx) {\n      if (isKeyOfType(Comp, key, type)) {\n        extracted[key] = instance.ctx[key];\n      }\n    }\n    return extracted;\n  }\n  function isKeyOfType(Comp, key, type) {\n    const opts = Comp[type];\n    if (isArray(opts) && opts.includes(key) || isObject(opts) && key in opts) {\n      return true;\n    }\n    if (Comp.extends && isKeyOfType(Comp.extends, key, type)) {\n      return true;\n    }\n    if (Comp.mixins && Comp.mixins.some((m) => isKeyOfType(m, key, type))) {\n      return true;\n    }\n  }\n  function genRefFlag(v) {\n    if (isShallow(v)) {\n      return `ShallowRef`;\n    }\n    if (v.effect) {\n      return `ComputedRef`;\n    }\n    return `Ref`;\n  }\n  if (window.devtoolsFormatters) {\n    window.devtoolsFormatters.push(formatter);\n  } else {\n    window.devtoolsFormatters = [formatter];\n  }\n}\n\nfunction withMemo(memo, render, cache, index) {\n  const cached = cache[index];\n  if (cached && isMemoSame(cached, memo)) {\n    return cached;\n  }\n  const ret = render();\n  ret.memo = memo.slice();\n  ret.memoIndex = index;\n  return cache[index] = ret;\n}\nfunction isMemoSame(cached, memo) {\n  const prev = cached.memo;\n  if (prev.length != memo.length) {\n    return false;\n  }\n  for (let i = 0; i < prev.length; i++) {\n    if (hasChanged(prev[i], memo[i])) {\n      return false;\n    }\n  }\n  if (isBlockTreeEnabled > 0 && currentBlock) {\n    currentBlock.push(cached);\n  }\n  return true;\n}\n\nconst version = \"3.4.31\";\nconst warn = !!(process.env.NODE_ENV !== \"production\") ? warn$1 : NOOP;\nconst ErrorTypeStrings = ErrorTypeStrings$1 ;\nconst devtools = !!(process.env.NODE_ENV !== \"production\") || true ? devtools$1 : void 0;\nconst setDevtoolsHook = !!(process.env.NODE_ENV !== \"production\") || true ? setDevtoolsHook$1 : NOOP;\nconst _ssrUtils = {\n  createComponentInstance,\n  setupComponent,\n  renderComponentRoot,\n  setCurrentRenderingInstance,\n  isVNode: isVNode,\n  normalizeVNode,\n  getComponentPublicInstance\n};\nconst ssrUtils = _ssrUtils ;\nconst resolveFilter = null;\nconst compatUtils = null;\nconst DeprecationTypes = null;\n\nexport { BaseTransition, BaseTransitionPropsValidators, Comment, DeprecationTypes, ErrorCodes, ErrorTypeStrings, Fragment, KeepAlive, Static, Suspense, Teleport, Text, assertNumber, callWithAsyncErrorHandling, callWithErrorHandling, cloneVNode, compatUtils, computed, createBlock, createCommentVNode, createElementBlock, createBaseVNode as createElementVNode, createHydrationRenderer, createPropsRestProxy, createRenderer, createSlots, createStaticVNode, createTextVNode, createVNode, defineAsyncComponent, defineComponent, defineEmits, defineExpose, defineModel, defineOptions, defineProps, defineSlots, devtools, getCurrentInstance, getTransitionRawChildren, guardReactiveProps, h, handleError, hasInjectionContext, initCustomFormatter, inject, isMemoSame, isRuntimeOnly, isVNode, mergeDefaults, mergeModels, mergeProps, nextTick, onActivated, onBeforeMount, onBeforeUnmount, onBeforeUpdate, onDeactivated, onErrorCaptured, onMounted, onRenderTracked, onRenderTriggered, onServerPrefetch, onUnmounted, onUpdated, openBlock, popScopeId, provide, pushScopeId, queuePostFlushCb, registerRuntimeCompiler, renderList, renderSlot, resolveComponent, resolveDirective, resolveDynamicComponent, resolveFilter, resolveTransitionHooks, setBlockTracking, setDevtoolsHook, setTransitionHooks, ssrContextKey, ssrUtils, toHandlers, transformVNodeArgs, useAttrs, useModel, useSSRContext, useSlots, useTransitionState, version, warn, watch, watchEffect, watchPostEffect, watchSyncEffect, withAsyncContext, withCtx, withDefaults, withDirectives, withMemo, withScopeId };\n","/**\n* @vue/runtime-dom v3.4.31\n* (c) 2018-present Yuxi (Evan) You and Vue contributors\n* @license MIT\n**/\nimport { h, BaseTransition, BaseTransitionPropsValidators, assertNumber, getCurrentInstance, warn, onMounted, watchPostEffect, onUnmounted, Fragment, Static, camelize, callWithAsyncErrorHandling, defineComponent, nextTick, createVNode, useTransitionState, onUpdated, toRaw, getTransitionRawChildren, setTransitionHooks, resolveTransitionHooks, isRuntimeOnly, createRenderer, createHydrationRenderer } from '@vue/runtime-core';\nexport * from '@vue/runtime-core';\nimport { extend, isObject, toNumber, isArray, isString, hyphenate, capitalize, includeBooleanAttr, isSymbol, isSpecialBooleanAttr, isFunction, NOOP, isOn, isModelListener, camelize as camelize$1, EMPTY_OBJ, looseToNumber, looseIndexOf, isSet, looseEqual, invokeArrayFns, isHTMLTag, isSVGTag, isMathMLTag } from '@vue/shared';\n\nconst svgNS = \"http://www.w3.org/2000/svg\";\nconst mathmlNS = \"http://www.w3.org/1998/Math/MathML\";\nconst doc = typeof document !== \"undefined\" ? document : null;\nconst templateContainer = doc && /* @__PURE__ */ doc.createElement(\"template\");\nconst nodeOps = {\n  insert: (child, parent, anchor) => {\n    parent.insertBefore(child, anchor || null);\n  },\n  remove: (child) => {\n    const parent = child.parentNode;\n    if (parent) {\n      parent.removeChild(child);\n    }\n  },\n  createElement: (tag, namespace, is, props) => {\n    const el = namespace === \"svg\" ? doc.createElementNS(svgNS, tag) : namespace === \"mathml\" ? doc.createElementNS(mathmlNS, tag) : is ? doc.createElement(tag, { is }) : doc.createElement(tag);\n    if (tag === \"select\" && props && props.multiple != null) {\n      el.setAttribute(\"multiple\", props.multiple);\n    }\n    return el;\n  },\n  createText: (text) => doc.createTextNode(text),\n  createComment: (text) => doc.createComment(text),\n  setText: (node, text) => {\n    node.nodeValue = text;\n  },\n  setElementText: (el, text) => {\n    el.textContent = text;\n  },\n  parentNode: (node) => node.parentNode,\n  nextSibling: (node) => node.nextSibling,\n  querySelector: (selector) => doc.querySelector(selector),\n  setScopeId(el, id) {\n    el.setAttribute(id, \"\");\n  },\n  // __UNSAFE__\n  // Reason: innerHTML.\n  // Static content here can only come from compiled templates.\n  // As long as the user only uses trusted templates, this is safe.\n  insertStaticContent(content, parent, anchor, namespace, start, end) {\n    const before = anchor ? anchor.previousSibling : parent.lastChild;\n    if (start && (start === end || start.nextSibling)) {\n      while (true) {\n        parent.insertBefore(start.cloneNode(true), anchor);\n        if (start === end || !(start = start.nextSibling)) break;\n      }\n    } else {\n      templateContainer.innerHTML = namespace === \"svg\" ? `<svg>${content}</svg>` : namespace === \"mathml\" ? `<math>${content}</math>` : content;\n      const template = templateContainer.content;\n      if (namespace === \"svg\" || namespace === \"mathml\") {\n        const wrapper = template.firstChild;\n        while (wrapper.firstChild) {\n          template.appendChild(wrapper.firstChild);\n        }\n        template.removeChild(wrapper);\n      }\n      parent.insertBefore(template, anchor);\n    }\n    return [\n      // first\n      before ? before.nextSibling : parent.firstChild,\n      // last\n      anchor ? anchor.previousSibling : parent.lastChild\n    ];\n  }\n};\n\nconst TRANSITION = \"transition\";\nconst ANIMATION = \"animation\";\nconst vtcKey = Symbol(\"_vtc\");\nconst Transition = (props, { slots }) => h(BaseTransition, resolveTransitionProps(props), slots);\nTransition.displayName = \"Transition\";\nconst DOMTransitionPropsValidators = {\n  name: String,\n  type: String,\n  css: {\n    type: Boolean,\n    default: true\n  },\n  duration: [String, Number, Object],\n  enterFromClass: String,\n  enterActiveClass: String,\n  enterToClass: String,\n  appearFromClass: String,\n  appearActiveClass: String,\n  appearToClass: String,\n  leaveFromClass: String,\n  leaveActiveClass: String,\n  leaveToClass: String\n};\nconst TransitionPropsValidators = Transition.props = /* @__PURE__ */ extend(\n  {},\n  BaseTransitionPropsValidators,\n  DOMTransitionPropsValidators\n);\nconst callHook = (hook, args = []) => {\n  if (isArray(hook)) {\n    hook.forEach((h2) => h2(...args));\n  } else if (hook) {\n    hook(...args);\n  }\n};\nconst hasExplicitCallback = (hook) => {\n  return hook ? isArray(hook) ? hook.some((h2) => h2.length > 1) : hook.length > 1 : false;\n};\nfunction resolveTransitionProps(rawProps) {\n  const baseProps = {};\n  for (const key in rawProps) {\n    if (!(key in DOMTransitionPropsValidators)) {\n      baseProps[key] = rawProps[key];\n    }\n  }\n  if (rawProps.css === false) {\n    return baseProps;\n  }\n  const {\n    name = \"v\",\n    type,\n    duration,\n    enterFromClass = `${name}-enter-from`,\n    enterActiveClass = `${name}-enter-active`,\n    enterToClass = `${name}-enter-to`,\n    appearFromClass = enterFromClass,\n    appearActiveClass = enterActiveClass,\n    appearToClass = enterToClass,\n    leaveFromClass = `${name}-leave-from`,\n    leaveActiveClass = `${name}-leave-active`,\n    leaveToClass = `${name}-leave-to`\n  } = rawProps;\n  const durations = normalizeDuration(duration);\n  const enterDuration = durations && durations[0];\n  const leaveDuration = durations && durations[1];\n  const {\n    onBeforeEnter,\n    onEnter,\n    onEnterCancelled,\n    onLeave,\n    onLeaveCancelled,\n    onBeforeAppear = onBeforeEnter,\n    onAppear = onEnter,\n    onAppearCancelled = onEnterCancelled\n  } = baseProps;\n  const finishEnter = (el, isAppear, done) => {\n    removeTransitionClass(el, isAppear ? appearToClass : enterToClass);\n    removeTransitionClass(el, isAppear ? appearActiveClass : enterActiveClass);\n    done && done();\n  };\n  const finishLeave = (el, done) => {\n    el._isLeaving = false;\n    removeTransitionClass(el, leaveFromClass);\n    removeTransitionClass(el, leaveToClass);\n    removeTransitionClass(el, leaveActiveClass);\n    done && done();\n  };\n  const makeEnterHook = (isAppear) => {\n    return (el, done) => {\n      const hook = isAppear ? onAppear : onEnter;\n      const resolve = () => finishEnter(el, isAppear, done);\n      callHook(hook, [el, resolve]);\n      nextFrame(() => {\n        removeTransitionClass(el, isAppear ? appearFromClass : enterFromClass);\n        addTransitionClass(el, isAppear ? appearToClass : enterToClass);\n        if (!hasExplicitCallback(hook)) {\n          whenTransitionEnds(el, type, enterDuration, resolve);\n        }\n      });\n    };\n  };\n  return extend(baseProps, {\n    onBeforeEnter(el) {\n      callHook(onBeforeEnter, [el]);\n      addTransitionClass(el, enterFromClass);\n      addTransitionClass(el, enterActiveClass);\n    },\n    onBeforeAppear(el) {\n      callHook(onBeforeAppear, [el]);\n      addTransitionClass(el, appearFromClass);\n      addTransitionClass(el, appearActiveClass);\n    },\n    onEnter: makeEnterHook(false),\n    onAppear: makeEnterHook(true),\n    onLeave(el, done) {\n      el._isLeaving = true;\n      const resolve = () => finishLeave(el, done);\n      addTransitionClass(el, leaveFromClass);\n      addTransitionClass(el, leaveActiveClass);\n      forceReflow();\n      nextFrame(() => {\n        if (!el._isLeaving) {\n          return;\n        }\n        removeTransitionClass(el, leaveFromClass);\n        addTransitionClass(el, leaveToClass);\n        if (!hasExplicitCallback(onLeave)) {\n          whenTransitionEnds(el, type, leaveDuration, resolve);\n        }\n      });\n      callHook(onLeave, [el, resolve]);\n    },\n    onEnterCancelled(el) {\n      finishEnter(el, false);\n      callHook(onEnterCancelled, [el]);\n    },\n    onAppearCancelled(el) {\n      finishEnter(el, true);\n      callHook(onAppearCancelled, [el]);\n    },\n    onLeaveCancelled(el) {\n      finishLeave(el);\n      callHook(onLeaveCancelled, [el]);\n    }\n  });\n}\nfunction normalizeDuration(duration) {\n  if (duration == null) {\n    return null;\n  } else if (isObject(duration)) {\n    return [NumberOf(duration.enter), NumberOf(duration.leave)];\n  } else {\n    const n = NumberOf(duration);\n    return [n, n];\n  }\n}\nfunction NumberOf(val) {\n  const res = toNumber(val);\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    assertNumber(res, \"<transition> explicit duration\");\n  }\n  return res;\n}\nfunction addTransitionClass(el, cls) {\n  cls.split(/\\s+/).forEach((c) => c && el.classList.add(c));\n  (el[vtcKey] || (el[vtcKey] = /* @__PURE__ */ new Set())).add(cls);\n}\nfunction removeTransitionClass(el, cls) {\n  cls.split(/\\s+/).forEach((c) => c && el.classList.remove(c));\n  const _vtc = el[vtcKey];\n  if (_vtc) {\n    _vtc.delete(cls);\n    if (!_vtc.size) {\n      el[vtcKey] = void 0;\n    }\n  }\n}\nfunction nextFrame(cb) {\n  requestAnimationFrame(() => {\n    requestAnimationFrame(cb);\n  });\n}\nlet endId = 0;\nfunction whenTransitionEnds(el, expectedType, explicitTimeout, resolve) {\n  const id = el._endId = ++endId;\n  const resolveIfNotStale = () => {\n    if (id === el._endId) {\n      resolve();\n    }\n  };\n  if (explicitTimeout) {\n    return setTimeout(resolveIfNotStale, explicitTimeout);\n  }\n  const { type, timeout, propCount } = getTransitionInfo(el, expectedType);\n  if (!type) {\n    return resolve();\n  }\n  const endEvent = type + \"end\";\n  let ended = 0;\n  const end = () => {\n    el.removeEventListener(endEvent, onEnd);\n    resolveIfNotStale();\n  };\n  const onEnd = (e) => {\n    if (e.target === el && ++ended >= propCount) {\n      end();\n    }\n  };\n  setTimeout(() => {\n    if (ended < propCount) {\n      end();\n    }\n  }, timeout + 1);\n  el.addEventListener(endEvent, onEnd);\n}\nfunction getTransitionInfo(el, expectedType) {\n  const styles = window.getComputedStyle(el);\n  const getStyleProperties = (key) => (styles[key] || \"\").split(\", \");\n  const transitionDelays = getStyleProperties(`${TRANSITION}Delay`);\n  const transitionDurations = getStyleProperties(`${TRANSITION}Duration`);\n  const transitionTimeout = getTimeout(transitionDelays, transitionDurations);\n  const animationDelays = getStyleProperties(`${ANIMATION}Delay`);\n  const animationDurations = getStyleProperties(`${ANIMATION}Duration`);\n  const animationTimeout = getTimeout(animationDelays, animationDurations);\n  let type = null;\n  let timeout = 0;\n  let propCount = 0;\n  if (expectedType === TRANSITION) {\n    if (transitionTimeout > 0) {\n      type = TRANSITION;\n      timeout = transitionTimeout;\n      propCount = transitionDurations.length;\n    }\n  } else if (expectedType === ANIMATION) {\n    if (animationTimeout > 0) {\n      type = ANIMATION;\n      timeout = animationTimeout;\n      propCount = animationDurations.length;\n    }\n  } else {\n    timeout = Math.max(transitionTimeout, animationTimeout);\n    type = timeout > 0 ? transitionTimeout > animationTimeout ? TRANSITION : ANIMATION : null;\n    propCount = type ? type === TRANSITION ? transitionDurations.length : animationDurations.length : 0;\n  }\n  const hasTransform = type === TRANSITION && /\\b(transform|all)(,|$)/.test(\n    getStyleProperties(`${TRANSITION}Property`).toString()\n  );\n  return {\n    type,\n    timeout,\n    propCount,\n    hasTransform\n  };\n}\nfunction getTimeout(delays, durations) {\n  while (delays.length < durations.length) {\n    delays = delays.concat(delays);\n  }\n  return Math.max(...durations.map((d, i) => toMs(d) + toMs(delays[i])));\n}\nfunction toMs(s) {\n  if (s === \"auto\") return 0;\n  return Number(s.slice(0, -1).replace(\",\", \".\")) * 1e3;\n}\nfunction forceReflow() {\n  return document.body.offsetHeight;\n}\n\nfunction patchClass(el, value, isSVG) {\n  const transitionClasses = el[vtcKey];\n  if (transitionClasses) {\n    value = (value ? [value, ...transitionClasses] : [...transitionClasses]).join(\" \");\n  }\n  if (value == null) {\n    el.removeAttribute(\"class\");\n  } else if (isSVG) {\n    el.setAttribute(\"class\", value);\n  } else {\n    el.className = value;\n  }\n}\n\nconst vShowOriginalDisplay = Symbol(\"_vod\");\nconst vShowHidden = Symbol(\"_vsh\");\nconst vShow = {\n  beforeMount(el, { value }, { transition }) {\n    el[vShowOriginalDisplay] = el.style.display === \"none\" ? \"\" : el.style.display;\n    if (transition && value) {\n      transition.beforeEnter(el);\n    } else {\n      setDisplay(el, value);\n    }\n  },\n  mounted(el, { value }, { transition }) {\n    if (transition && value) {\n      transition.enter(el);\n    }\n  },\n  updated(el, { value, oldValue }, { transition }) {\n    if (!value === !oldValue) return;\n    if (transition) {\n      if (value) {\n        transition.beforeEnter(el);\n        setDisplay(el, true);\n        transition.enter(el);\n      } else {\n        transition.leave(el, () => {\n          setDisplay(el, false);\n        });\n      }\n    } else {\n      setDisplay(el, value);\n    }\n  },\n  beforeUnmount(el, { value }) {\n    setDisplay(el, value);\n  }\n};\nif (!!(process.env.NODE_ENV !== \"production\")) {\n  vShow.name = \"show\";\n}\nfunction setDisplay(el, value) {\n  el.style.display = value ? el[vShowOriginalDisplay] : \"none\";\n  el[vShowHidden] = !value;\n}\nfunction initVShowForSSR() {\n  vShow.getSSRProps = ({ value }) => {\n    if (!value) {\n      return { style: { display: \"none\" } };\n    }\n  };\n}\n\nconst CSS_VAR_TEXT = Symbol(!!(process.env.NODE_ENV !== \"production\") ? \"CSS_VAR_TEXT\" : \"\");\nfunction useCssVars(getter) {\n  const instance = getCurrentInstance();\n  if (!instance) {\n    !!(process.env.NODE_ENV !== \"production\") && warn(`useCssVars is called without current active component instance.`);\n    return;\n  }\n  const updateTeleports = instance.ut = (vars = getter(instance.proxy)) => {\n    Array.from(\n      document.querySelectorAll(`[data-v-owner=\"${instance.uid}\"]`)\n    ).forEach((node) => setVarsOnNode(node, vars));\n  };\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    instance.getCssVars = () => getter(instance.proxy);\n  }\n  const setVars = () => {\n    const vars = getter(instance.proxy);\n    setVarsOnVNode(instance.subTree, vars);\n    updateTeleports(vars);\n  };\n  onMounted(() => {\n    watchPostEffect(setVars);\n    const ob = new MutationObserver(setVars);\n    ob.observe(instance.subTree.el.parentNode, { childList: true });\n    onUnmounted(() => ob.disconnect());\n  });\n}\nfunction setVarsOnVNode(vnode, vars) {\n  if (vnode.shapeFlag & 128) {\n    const suspense = vnode.suspense;\n    vnode = suspense.activeBranch;\n    if (suspense.pendingBranch && !suspense.isHydrating) {\n      suspense.effects.push(() => {\n        setVarsOnVNode(suspense.activeBranch, vars);\n      });\n    }\n  }\n  while (vnode.component) {\n    vnode = vnode.component.subTree;\n  }\n  if (vnode.shapeFlag & 1 && vnode.el) {\n    setVarsOnNode(vnode.el, vars);\n  } else if (vnode.type === Fragment) {\n    vnode.children.forEach((c) => setVarsOnVNode(c, vars));\n  } else if (vnode.type === Static) {\n    let { el, anchor } = vnode;\n    while (el) {\n      setVarsOnNode(el, vars);\n      if (el === anchor) break;\n      el = el.nextSibling;\n    }\n  }\n}\nfunction setVarsOnNode(el, vars) {\n  if (el.nodeType === 1) {\n    const style = el.style;\n    let cssText = \"\";\n    for (const key in vars) {\n      style.setProperty(`--${key}`, vars[key]);\n      cssText += `--${key}: ${vars[key]};`;\n    }\n    style[CSS_VAR_TEXT] = cssText;\n  }\n}\n\nconst displayRE = /(^|;)\\s*display\\s*:/;\nfunction patchStyle(el, prev, next) {\n  const style = el.style;\n  const isCssString = isString(next);\n  let hasControlledDisplay = false;\n  if (next && !isCssString) {\n    if (prev) {\n      if (!isString(prev)) {\n        for (const key in prev) {\n          if (next[key] == null) {\n            setStyle(style, key, \"\");\n          }\n        }\n      } else {\n        for (const prevStyle of prev.split(\";\")) {\n          const key = prevStyle.slice(0, prevStyle.indexOf(\":\")).trim();\n          if (next[key] == null) {\n            setStyle(style, key, \"\");\n          }\n        }\n      }\n    }\n    for (const key in next) {\n      if (key === \"display\") {\n        hasControlledDisplay = true;\n      }\n      setStyle(style, key, next[key]);\n    }\n  } else {\n    if (isCssString) {\n      if (prev !== next) {\n        const cssVarText = style[CSS_VAR_TEXT];\n        if (cssVarText) {\n          next += \";\" + cssVarText;\n        }\n        style.cssText = next;\n        hasControlledDisplay = displayRE.test(next);\n      }\n    } else if (prev) {\n      el.removeAttribute(\"style\");\n    }\n  }\n  if (vShowOriginalDisplay in el) {\n    el[vShowOriginalDisplay] = hasControlledDisplay ? style.display : \"\";\n    if (el[vShowHidden]) {\n      style.display = \"none\";\n    }\n  }\n}\nconst semicolonRE = /[^\\\\];\\s*$/;\nconst importantRE = /\\s*!important$/;\nfunction setStyle(style, name, val) {\n  if (isArray(val)) {\n    val.forEach((v) => setStyle(style, name, v));\n  } else {\n    if (val == null) val = \"\";\n    if (!!(process.env.NODE_ENV !== \"production\")) {\n      if (semicolonRE.test(val)) {\n        warn(\n          `Unexpected semicolon at the end of '${name}' style value: '${val}'`\n        );\n      }\n    }\n    if (name.startsWith(\"--\")) {\n      style.setProperty(name, val);\n    } else {\n      const prefixed = autoPrefix(style, name);\n      if (importantRE.test(val)) {\n        style.setProperty(\n          hyphenate(prefixed),\n          val.replace(importantRE, \"\"),\n          \"important\"\n        );\n      } else {\n        style[prefixed] = val;\n      }\n    }\n  }\n}\nconst prefixes = [\"Webkit\", \"Moz\", \"ms\"];\nconst prefixCache = {};\nfunction autoPrefix(style, rawName) {\n  const cached = prefixCache[rawName];\n  if (cached) {\n    return cached;\n  }\n  let name = camelize(rawName);\n  if (name !== \"filter\" && name in style) {\n    return prefixCache[rawName] = name;\n  }\n  name = capitalize(name);\n  for (let i = 0; i < prefixes.length; i++) {\n    const prefixed = prefixes[i] + name;\n    if (prefixed in style) {\n      return prefixCache[rawName] = prefixed;\n    }\n  }\n  return rawName;\n}\n\nconst xlinkNS = \"http://www.w3.org/1999/xlink\";\nfunction patchAttr(el, key, value, isSVG, instance, isBoolean = isSpecialBooleanAttr(key)) {\n  if (isSVG && key.startsWith(\"xlink:\")) {\n    if (value == null) {\n      el.removeAttributeNS(xlinkNS, key.slice(6, key.length));\n    } else {\n      el.setAttributeNS(xlinkNS, key, value);\n    }\n  } else {\n    if (value == null || isBoolean && !includeBooleanAttr(value)) {\n      el.removeAttribute(key);\n    } else {\n      el.setAttribute(\n        key,\n        isBoolean ? \"\" : isSymbol(value) ? String(value) : value\n      );\n    }\n  }\n}\n\nfunction patchDOMProp(el, key, value, prevChildren, parentComponent, parentSuspense, unmountChildren) {\n  if (key === \"innerHTML\" || key === \"textContent\") {\n    if (prevChildren) {\n      unmountChildren(prevChildren, parentComponent, parentSuspense);\n    }\n    el[key] = value == null ? \"\" : value;\n    return;\n  }\n  const tag = el.tagName;\n  if (key === \"value\" && tag !== \"PROGRESS\" && // custom elements may use _value internally\n  !tag.includes(\"-\")) {\n    const oldValue = tag === \"OPTION\" ? el.getAttribute(\"value\") || \"\" : el.value;\n    const newValue = value == null ? \"\" : String(value);\n    if (oldValue !== newValue || !(\"_value\" in el)) {\n      el.value = newValue;\n    }\n    if (value == null) {\n      el.removeAttribute(key);\n    }\n    el._value = value;\n    return;\n  }\n  let needRemove = false;\n  if (value === \"\" || value == null) {\n    const type = typeof el[key];\n    if (type === \"boolean\") {\n      value = includeBooleanAttr(value);\n    } else if (value == null && type === \"string\") {\n      value = \"\";\n      needRemove = true;\n    } else if (type === \"number\") {\n      value = 0;\n      needRemove = true;\n    }\n  }\n  try {\n    el[key] = value;\n  } catch (e) {\n    if (!!(process.env.NODE_ENV !== \"production\") && !needRemove) {\n      warn(\n        `Failed setting prop \"${key}\" on <${tag.toLowerCase()}>: value ${value} is invalid.`,\n        e\n      );\n    }\n  }\n  needRemove && el.removeAttribute(key);\n}\n\nfunction addEventListener(el, event, handler, options) {\n  el.addEventListener(event, handler, options);\n}\nfunction removeEventListener(el, event, handler, options) {\n  el.removeEventListener(event, handler, options);\n}\nconst veiKey = Symbol(\"_vei\");\nfunction patchEvent(el, rawName, prevValue, nextValue, instance = null) {\n  const invokers = el[veiKey] || (el[veiKey] = {});\n  const existingInvoker = invokers[rawName];\n  if (nextValue && existingInvoker) {\n    existingInvoker.value = !!(process.env.NODE_ENV !== \"production\") ? sanitizeEventValue(nextValue, rawName) : nextValue;\n  } else {\n    const [name, options] = parseName(rawName);\n    if (nextValue) {\n      const invoker = invokers[rawName] = createInvoker(\n        !!(process.env.NODE_ENV !== \"production\") ? sanitizeEventValue(nextValue, rawName) : nextValue,\n        instance\n      );\n      addEventListener(el, name, invoker, options);\n    } else if (existingInvoker) {\n      removeEventListener(el, name, existingInvoker, options);\n      invokers[rawName] = void 0;\n    }\n  }\n}\nconst optionsModifierRE = /(?:Once|Passive|Capture)$/;\nfunction parseName(name) {\n  let options;\n  if (optionsModifierRE.test(name)) {\n    options = {};\n    let m;\n    while (m = name.match(optionsModifierRE)) {\n      name = name.slice(0, name.length - m[0].length);\n      options[m[0].toLowerCase()] = true;\n    }\n  }\n  const event = name[2] === \":\" ? name.slice(3) : hyphenate(name.slice(2));\n  return [event, options];\n}\nlet cachedNow = 0;\nconst p = /* @__PURE__ */ Promise.resolve();\nconst getNow = () => cachedNow || (p.then(() => cachedNow = 0), cachedNow = Date.now());\nfunction createInvoker(initialValue, instance) {\n  const invoker = (e) => {\n    if (!e._vts) {\n      e._vts = Date.now();\n    } else if (e._vts <= invoker.attached) {\n      return;\n    }\n    callWithAsyncErrorHandling(\n      patchStopImmediatePropagation(e, invoker.value),\n      instance,\n      5,\n      [e]\n    );\n  };\n  invoker.value = initialValue;\n  invoker.attached = getNow();\n  return invoker;\n}\nfunction sanitizeEventValue(value, propName) {\n  if (isFunction(value) || isArray(value)) {\n    return value;\n  }\n  warn(\n    `Wrong type passed as event handler to ${propName} - did you forget @ or : in front of your prop?\nExpected function or array of functions, received type ${typeof value}.`\n  );\n  return NOOP;\n}\nfunction patchStopImmediatePropagation(e, value) {\n  if (isArray(value)) {\n    const originalStop = e.stopImmediatePropagation;\n    e.stopImmediatePropagation = () => {\n      originalStop.call(e);\n      e._stopped = true;\n    };\n    return value.map(\n      (fn) => (e2) => !e2._stopped && fn && fn(e2)\n    );\n  } else {\n    return value;\n  }\n}\n\nconst isNativeOn = (key) => key.charCodeAt(0) === 111 && key.charCodeAt(1) === 110 && // lowercase letter\nkey.charCodeAt(2) > 96 && key.charCodeAt(2) < 123;\nconst patchProp = (el, key, prevValue, nextValue, namespace, prevChildren, parentComponent, parentSuspense, unmountChildren) => {\n  const isSVG = namespace === \"svg\";\n  if (key === \"class\") {\n    patchClass(el, nextValue, isSVG);\n  } else if (key === \"style\") {\n    patchStyle(el, prevValue, nextValue);\n  } else if (isOn(key)) {\n    if (!isModelListener(key)) {\n      patchEvent(el, key, prevValue, nextValue, parentComponent);\n    }\n  } else if (key[0] === \".\" ? (key = key.slice(1), true) : key[0] === \"^\" ? (key = key.slice(1), false) : shouldSetAsProp(el, key, nextValue, isSVG)) {\n    patchDOMProp(\n      el,\n      key,\n      nextValue,\n      prevChildren,\n      parentComponent,\n      parentSuspense,\n      unmountChildren\n    );\n    if (!el.tagName.includes(\"-\") && (key === \"value\" || key === \"checked\" || key === \"selected\")) {\n      patchAttr(el, key, nextValue, isSVG, parentComponent, key !== \"value\");\n    }\n  } else {\n    if (key === \"true-value\") {\n      el._trueValue = nextValue;\n    } else if (key === \"false-value\") {\n      el._falseValue = nextValue;\n    }\n    patchAttr(el, key, nextValue, isSVG);\n  }\n};\nfunction shouldSetAsProp(el, key, value, isSVG) {\n  if (isSVG) {\n    if (key === \"innerHTML\" || key === \"textContent\") {\n      return true;\n    }\n    if (key in el && isNativeOn(key) && isFunction(value)) {\n      return true;\n    }\n    return false;\n  }\n  if (key === \"spellcheck\" || key === \"draggable\" || key === \"translate\") {\n    return false;\n  }\n  if (key === \"form\") {\n    return false;\n  }\n  if (key === \"list\" && el.tagName === \"INPUT\") {\n    return false;\n  }\n  if (key === \"type\" && el.tagName === \"TEXTAREA\") {\n    return false;\n  }\n  if (key === \"width\" || key === \"height\") {\n    const tag = el.tagName;\n    if (tag === \"IMG\" || tag === \"VIDEO\" || tag === \"CANVAS\" || tag === \"SOURCE\") {\n      return false;\n    }\n  }\n  if (isNativeOn(key) && isString(value)) {\n    return false;\n  }\n  return key in el;\n}\n\n/*! #__NO_SIDE_EFFECTS__ */\n// @__NO_SIDE_EFFECTS__\nfunction defineCustomElement(options, extraOptions, hydrate2) {\n  const Comp = defineComponent(options, extraOptions);\n  class VueCustomElement extends VueElement {\n    constructor(initialProps) {\n      super(Comp, initialProps, hydrate2);\n    }\n  }\n  VueCustomElement.def = Comp;\n  return VueCustomElement;\n}\n/*! #__NO_SIDE_EFFECTS__ */\nconst defineSSRCustomElement = /* @__NO_SIDE_EFFECTS__ */ (options, extraOptions) => {\n  return /* @__PURE__ */ defineCustomElement(options, extraOptions, hydrate);\n};\nconst BaseClass = typeof HTMLElement !== \"undefined\" ? HTMLElement : class {\n};\nclass VueElement extends BaseClass {\n  constructor(_def, _props = {}, hydrate2) {\n    super();\n    this._def = _def;\n    this._props = _props;\n    /**\n     * @internal\n     */\n    this._instance = null;\n    this._connected = false;\n    this._resolved = false;\n    this._numberProps = null;\n    this._ob = null;\n    if (this.shadowRoot && hydrate2) {\n      hydrate2(this._createVNode(), this.shadowRoot);\n    } else {\n      if (!!(process.env.NODE_ENV !== \"production\") && this.shadowRoot) {\n        warn(\n          `Custom element has pre-rendered declarative shadow root but is not defined as hydratable. Use \\`defineSSRCustomElement\\`.`\n        );\n      }\n      this.attachShadow({ mode: \"open\" });\n      if (!this._def.__asyncLoader) {\n        this._resolveProps(this._def);\n      }\n    }\n  }\n  connectedCallback() {\n    this._connected = true;\n    if (!this._instance) {\n      if (this._resolved) {\n        this._update();\n      } else {\n        this._resolveDef();\n      }\n    }\n  }\n  disconnectedCallback() {\n    this._connected = false;\n    nextTick(() => {\n      if (!this._connected) {\n        if (this._ob) {\n          this._ob.disconnect();\n          this._ob = null;\n        }\n        render(null, this.shadowRoot);\n        this._instance = null;\n      }\n    });\n  }\n  /**\n   * resolve inner component definition (handle possible async component)\n   */\n  _resolveDef() {\n    this._resolved = true;\n    for (let i = 0; i < this.attributes.length; i++) {\n      this._setAttr(this.attributes[i].name);\n    }\n    this._ob = new MutationObserver((mutations) => {\n      for (const m of mutations) {\n        this._setAttr(m.attributeName);\n      }\n    });\n    this._ob.observe(this, { attributes: true });\n    const resolve = (def, isAsync = false) => {\n      const { props, styles } = def;\n      let numberProps;\n      if (props && !isArray(props)) {\n        for (const key in props) {\n          const opt = props[key];\n          if (opt === Number || opt && opt.type === Number) {\n            if (key in this._props) {\n              this._props[key] = toNumber(this._props[key]);\n            }\n            (numberProps || (numberProps = /* @__PURE__ */ Object.create(null)))[camelize$1(key)] = true;\n          }\n        }\n      }\n      this._numberProps = numberProps;\n      if (isAsync) {\n        this._resolveProps(def);\n      }\n      this._applyStyles(styles);\n      this._update();\n    };\n    const asyncDef = this._def.__asyncLoader;\n    if (asyncDef) {\n      asyncDef().then((def) => resolve(def, true));\n    } else {\n      resolve(this._def);\n    }\n  }\n  _resolveProps(def) {\n    const { props } = def;\n    const declaredPropKeys = isArray(props) ? props : Object.keys(props || {});\n    for (const key of Object.keys(this)) {\n      if (key[0] !== \"_\" && declaredPropKeys.includes(key)) {\n        this._setProp(key, this[key], true, false);\n      }\n    }\n    for (const key of declaredPropKeys.map(camelize$1)) {\n      Object.defineProperty(this, key, {\n        get() {\n          return this._getProp(key);\n        },\n        set(val) {\n          this._setProp(key, val);\n        }\n      });\n    }\n  }\n  _setAttr(key) {\n    let value = this.hasAttribute(key) ? this.getAttribute(key) : void 0;\n    const camelKey = camelize$1(key);\n    if (this._numberProps && this._numberProps[camelKey]) {\n      value = toNumber(value);\n    }\n    this._setProp(camelKey, value, false);\n  }\n  /**\n   * @internal\n   */\n  _getProp(key) {\n    return this._props[key];\n  }\n  /**\n   * @internal\n   */\n  _setProp(key, val, shouldReflect = true, shouldUpdate = true) {\n    if (val !== this._props[key]) {\n      this._props[key] = val;\n      if (shouldUpdate && this._instance) {\n        this._update();\n      }\n      if (shouldReflect) {\n        if (val === true) {\n          this.setAttribute(hyphenate(key), \"\");\n        } else if (typeof val === \"string\" || typeof val === \"number\") {\n          this.setAttribute(hyphenate(key), val + \"\");\n        } else if (!val) {\n          this.removeAttribute(hyphenate(key));\n        }\n      }\n    }\n  }\n  _update() {\n    render(this._createVNode(), this.shadowRoot);\n  }\n  _createVNode() {\n    const vnode = createVNode(this._def, extend({}, this._props));\n    if (!this._instance) {\n      vnode.ce = (instance) => {\n        this._instance = instance;\n        instance.isCE = true;\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          instance.ceReload = (newStyles) => {\n            if (this._styles) {\n              this._styles.forEach((s) => this.shadowRoot.removeChild(s));\n              this._styles.length = 0;\n            }\n            this._applyStyles(newStyles);\n            this._instance = null;\n            this._update();\n          };\n        }\n        const dispatch = (event, args) => {\n          this.dispatchEvent(\n            new CustomEvent(event, {\n              detail: args\n            })\n          );\n        };\n        instance.emit = (event, ...args) => {\n          dispatch(event, args);\n          if (hyphenate(event) !== event) {\n            dispatch(hyphenate(event), args);\n          }\n        };\n        let parent = this;\n        while (parent = parent && (parent.parentNode || parent.host)) {\n          if (parent instanceof VueElement) {\n            instance.parent = parent._instance;\n            instance.provides = parent._instance.provides;\n            break;\n          }\n        }\n      };\n    }\n    return vnode;\n  }\n  _applyStyles(styles) {\n    if (styles) {\n      styles.forEach((css) => {\n        const s = document.createElement(\"style\");\n        s.textContent = css;\n        this.shadowRoot.appendChild(s);\n        if (!!(process.env.NODE_ENV !== \"production\")) {\n          (this._styles || (this._styles = [])).push(s);\n        }\n      });\n    }\n  }\n}\n\nfunction useCssModule(name = \"$style\") {\n  {\n    const instance = getCurrentInstance();\n    if (!instance) {\n      !!(process.env.NODE_ENV !== \"production\") && warn(`useCssModule must be called inside setup()`);\n      return EMPTY_OBJ;\n    }\n    const modules = instance.type.__cssModules;\n    if (!modules) {\n      !!(process.env.NODE_ENV !== \"production\") && warn(`Current instance does not have CSS modules injected.`);\n      return EMPTY_OBJ;\n    }\n    const mod = modules[name];\n    if (!mod) {\n      !!(process.env.NODE_ENV !== \"production\") && warn(`Current instance does not have CSS module named \"${name}\".`);\n      return EMPTY_OBJ;\n    }\n    return mod;\n  }\n}\n\nconst positionMap = /* @__PURE__ */ new WeakMap();\nconst newPositionMap = /* @__PURE__ */ new WeakMap();\nconst moveCbKey = Symbol(\"_moveCb\");\nconst enterCbKey = Symbol(\"_enterCb\");\nconst TransitionGroupImpl = {\n  name: \"TransitionGroup\",\n  props: /* @__PURE__ */ extend({}, TransitionPropsValidators, {\n    tag: String,\n    moveClass: String\n  }),\n  setup(props, { slots }) {\n    const instance = getCurrentInstance();\n    const state = useTransitionState();\n    let prevChildren;\n    let children;\n    onUpdated(() => {\n      if (!prevChildren.length) {\n        return;\n      }\n      const moveClass = props.moveClass || `${props.name || \"v\"}-move`;\n      if (!hasCSSTransform(\n        prevChildren[0].el,\n        instance.vnode.el,\n        moveClass\n      )) {\n        return;\n      }\n      prevChildren.forEach(callPendingCbs);\n      prevChildren.forEach(recordPosition);\n      const movedChildren = prevChildren.filter(applyTranslation);\n      forceReflow();\n      movedChildren.forEach((c) => {\n        const el = c.el;\n        const style = el.style;\n        addTransitionClass(el, moveClass);\n        style.transform = style.webkitTransform = style.transitionDuration = \"\";\n        const cb = el[moveCbKey] = (e) => {\n          if (e && e.target !== el) {\n            return;\n          }\n          if (!e || /transform$/.test(e.propertyName)) {\n            el.removeEventListener(\"transitionend\", cb);\n            el[moveCbKey] = null;\n            removeTransitionClass(el, moveClass);\n          }\n        };\n        el.addEventListener(\"transitionend\", cb);\n      });\n    });\n    return () => {\n      const rawProps = toRaw(props);\n      const cssTransitionProps = resolveTransitionProps(rawProps);\n      let tag = rawProps.tag || Fragment;\n      prevChildren = [];\n      if (children) {\n        for (let i = 0; i < children.length; i++) {\n          const child = children[i];\n          if (child.el && child.el instanceof Element) {\n            prevChildren.push(child);\n            setTransitionHooks(\n              child,\n              resolveTransitionHooks(\n                child,\n                cssTransitionProps,\n                state,\n                instance\n              )\n            );\n            positionMap.set(\n              child,\n              child.el.getBoundingClientRect()\n            );\n          }\n        }\n      }\n      children = slots.default ? getTransitionRawChildren(slots.default()) : [];\n      for (let i = 0; i < children.length; i++) {\n        const child = children[i];\n        if (child.key != null) {\n          setTransitionHooks(\n            child,\n            resolveTransitionHooks(child, cssTransitionProps, state, instance)\n          );\n        } else if (!!(process.env.NODE_ENV !== \"production\")) {\n          warn(`<TransitionGroup> children must be keyed.`);\n        }\n      }\n      return createVNode(tag, null, children);\n    };\n  }\n};\nconst removeMode = (props) => delete props.mode;\n/* @__PURE__ */ removeMode(TransitionGroupImpl.props);\nconst TransitionGroup = TransitionGroupImpl;\nfunction callPendingCbs(c) {\n  const el = c.el;\n  if (el[moveCbKey]) {\n    el[moveCbKey]();\n  }\n  if (el[enterCbKey]) {\n    el[enterCbKey]();\n  }\n}\nfunction recordPosition(c) {\n  newPositionMap.set(c, c.el.getBoundingClientRect());\n}\nfunction applyTranslation(c) {\n  const oldPos = positionMap.get(c);\n  const newPos = newPositionMap.get(c);\n  const dx = oldPos.left - newPos.left;\n  const dy = oldPos.top - newPos.top;\n  if (dx || dy) {\n    const s = c.el.style;\n    s.transform = s.webkitTransform = `translate(${dx}px,${dy}px)`;\n    s.transitionDuration = \"0s\";\n    return c;\n  }\n}\nfunction hasCSSTransform(el, root, moveClass) {\n  const clone = el.cloneNode();\n  const _vtc = el[vtcKey];\n  if (_vtc) {\n    _vtc.forEach((cls) => {\n      cls.split(/\\s+/).forEach((c) => c && clone.classList.remove(c));\n    });\n  }\n  moveClass.split(/\\s+/).forEach((c) => c && clone.classList.add(c));\n  clone.style.display = \"none\";\n  const container = root.nodeType === 1 ? root : root.parentNode;\n  container.appendChild(clone);\n  const { hasTransform } = getTransitionInfo(clone);\n  container.removeChild(clone);\n  return hasTransform;\n}\n\nconst getModelAssigner = (vnode) => {\n  const fn = vnode.props[\"onUpdate:modelValue\"] || false;\n  return isArray(fn) ? (value) => invokeArrayFns(fn, value) : fn;\n};\nfunction onCompositionStart(e) {\n  e.target.composing = true;\n}\nfunction onCompositionEnd(e) {\n  const target = e.target;\n  if (target.composing) {\n    target.composing = false;\n    target.dispatchEvent(new Event(\"input\"));\n  }\n}\nconst assignKey = Symbol(\"_assign\");\nconst vModelText = {\n  created(el, { modifiers: { lazy, trim, number } }, vnode) {\n    el[assignKey] = getModelAssigner(vnode);\n    const castToNumber = number || vnode.props && vnode.props.type === \"number\";\n    addEventListener(el, lazy ? \"change\" : \"input\", (e) => {\n      if (e.target.composing) return;\n      let domValue = el.value;\n      if (trim) {\n        domValue = domValue.trim();\n      }\n      if (castToNumber) {\n        domValue = looseToNumber(domValue);\n      }\n      el[assignKey](domValue);\n    });\n    if (trim) {\n      addEventListener(el, \"change\", () => {\n        el.value = el.value.trim();\n      });\n    }\n    if (!lazy) {\n      addEventListener(el, \"compositionstart\", onCompositionStart);\n      addEventListener(el, \"compositionend\", onCompositionEnd);\n      addEventListener(el, \"change\", onCompositionEnd);\n    }\n  },\n  // set value on mounted so it's after min/max for type=\"range\"\n  mounted(el, { value }) {\n    el.value = value == null ? \"\" : value;\n  },\n  beforeUpdate(el, { value, oldValue, modifiers: { lazy, trim, number } }, vnode) {\n    el[assignKey] = getModelAssigner(vnode);\n    if (el.composing) return;\n    const elValue = (number || el.type === \"number\") && !/^0\\d/.test(el.value) ? looseToNumber(el.value) : el.value;\n    const newValue = value == null ? \"\" : value;\n    if (elValue === newValue) {\n      return;\n    }\n    if (document.activeElement === el && el.type !== \"range\") {\n      if (lazy && value === oldValue) {\n        return;\n      }\n      if (trim && el.value.trim() === newValue) {\n        return;\n      }\n    }\n    el.value = newValue;\n  }\n};\nconst vModelCheckbox = {\n  // #4096 array checkboxes need to be deep traversed\n  deep: true,\n  created(el, _, vnode) {\n    el[assignKey] = getModelAssigner(vnode);\n    addEventListener(el, \"change\", () => {\n      const modelValue = el._modelValue;\n      const elementValue = getValue(el);\n      const checked = el.checked;\n      const assign = el[assignKey];\n      if (isArray(modelValue)) {\n        const index = looseIndexOf(modelValue, elementValue);\n        const found = index !== -1;\n        if (checked && !found) {\n          assign(modelValue.concat(elementValue));\n        } else if (!checked && found) {\n          const filtered = [...modelValue];\n          filtered.splice(index, 1);\n          assign(filtered);\n        }\n      } else if (isSet(modelValue)) {\n        const cloned = new Set(modelValue);\n        if (checked) {\n          cloned.add(elementValue);\n        } else {\n          cloned.delete(elementValue);\n        }\n        assign(cloned);\n      } else {\n        assign(getCheckboxValue(el, checked));\n      }\n    });\n  },\n  // set initial checked on mount to wait for true-value/false-value\n  mounted: setChecked,\n  beforeUpdate(el, binding, vnode) {\n    el[assignKey] = getModelAssigner(vnode);\n    setChecked(el, binding, vnode);\n  }\n};\nfunction setChecked(el, { value, oldValue }, vnode) {\n  el._modelValue = value;\n  if (isArray(value)) {\n    el.checked = looseIndexOf(value, vnode.props.value) > -1;\n  } else if (isSet(value)) {\n    el.checked = value.has(vnode.props.value);\n  } else if (value !== oldValue) {\n    el.checked = looseEqual(value, getCheckboxValue(el, true));\n  }\n}\nconst vModelRadio = {\n  created(el, { value }, vnode) {\n    el.checked = looseEqual(value, vnode.props.value);\n    el[assignKey] = getModelAssigner(vnode);\n    addEventListener(el, \"change\", () => {\n      el[assignKey](getValue(el));\n    });\n  },\n  beforeUpdate(el, { value, oldValue }, vnode) {\n    el[assignKey] = getModelAssigner(vnode);\n    if (value !== oldValue) {\n      el.checked = looseEqual(value, vnode.props.value);\n    }\n  }\n};\nconst vModelSelect = {\n  // <select multiple> value need to be deep traversed\n  deep: true,\n  created(el, { value, modifiers: { number } }, vnode) {\n    const isSetModel = isSet(value);\n    addEventListener(el, \"change\", () => {\n      const selectedVal = Array.prototype.filter.call(el.options, (o) => o.selected).map(\n        (o) => number ? looseToNumber(getValue(o)) : getValue(o)\n      );\n      el[assignKey](\n        el.multiple ? isSetModel ? new Set(selectedVal) : selectedVal : selectedVal[0]\n      );\n      el._assigning = true;\n      nextTick(() => {\n        el._assigning = false;\n      });\n    });\n    el[assignKey] = getModelAssigner(vnode);\n  },\n  // set value in mounted & updated because <select> relies on its children\n  // <option>s.\n  mounted(el, { value, modifiers: { number } }) {\n    setSelected(el, value);\n  },\n  beforeUpdate(el, _binding, vnode) {\n    el[assignKey] = getModelAssigner(vnode);\n  },\n  updated(el, { value, modifiers: { number } }) {\n    if (!el._assigning) {\n      setSelected(el, value);\n    }\n  }\n};\nfunction setSelected(el, value, number) {\n  const isMultiple = el.multiple;\n  const isArrayValue = isArray(value);\n  if (isMultiple && !isArrayValue && !isSet(value)) {\n    !!(process.env.NODE_ENV !== \"production\") && warn(\n      `<select multiple v-model> expects an Array or Set value for its binding, but got ${Object.prototype.toString.call(value).slice(8, -1)}.`\n    );\n    return;\n  }\n  for (let i = 0, l = el.options.length; i < l; i++) {\n    const option = el.options[i];\n    const optionValue = getValue(option);\n    if (isMultiple) {\n      if (isArrayValue) {\n        const optionType = typeof optionValue;\n        if (optionType === \"string\" || optionType === \"number\") {\n          option.selected = value.some((v) => String(v) === String(optionValue));\n        } else {\n          option.selected = looseIndexOf(value, optionValue) > -1;\n        }\n      } else {\n        option.selected = value.has(optionValue);\n      }\n    } else if (looseEqual(getValue(option), value)) {\n      if (el.selectedIndex !== i) el.selectedIndex = i;\n      return;\n    }\n  }\n  if (!isMultiple && el.selectedIndex !== -1) {\n    el.selectedIndex = -1;\n  }\n}\nfunction getValue(el) {\n  return \"_value\" in el ? el._value : el.value;\n}\nfunction getCheckboxValue(el, checked) {\n  const key = checked ? \"_trueValue\" : \"_falseValue\";\n  return key in el ? el[key] : checked;\n}\nconst vModelDynamic = {\n  created(el, binding, vnode) {\n    callModelHook(el, binding, vnode, null, \"created\");\n  },\n  mounted(el, binding, vnode) {\n    callModelHook(el, binding, vnode, null, \"mounted\");\n  },\n  beforeUpdate(el, binding, vnode, prevVNode) {\n    callModelHook(el, binding, vnode, prevVNode, \"beforeUpdate\");\n  },\n  updated(el, binding, vnode, prevVNode) {\n    callModelHook(el, binding, vnode, prevVNode, \"updated\");\n  }\n};\nfunction resolveDynamicModel(tagName, type) {\n  switch (tagName) {\n    case \"SELECT\":\n      return vModelSelect;\n    case \"TEXTAREA\":\n      return vModelText;\n    default:\n      switch (type) {\n        case \"checkbox\":\n          return vModelCheckbox;\n        case \"radio\":\n          return vModelRadio;\n        default:\n          return vModelText;\n      }\n  }\n}\nfunction callModelHook(el, binding, vnode, prevVNode, hook) {\n  const modelToUse = resolveDynamicModel(\n    el.tagName,\n    vnode.props && vnode.props.type\n  );\n  const fn = modelToUse[hook];\n  fn && fn(el, binding, vnode, prevVNode);\n}\nfunction initVModelForSSR() {\n  vModelText.getSSRProps = ({ value }) => ({ value });\n  vModelRadio.getSSRProps = ({ value }, vnode) => {\n    if (vnode.props && looseEqual(vnode.props.value, value)) {\n      return { checked: true };\n    }\n  };\n  vModelCheckbox.getSSRProps = ({ value }, vnode) => {\n    if (isArray(value)) {\n      if (vnode.props && looseIndexOf(value, vnode.props.value) > -1) {\n        return { checked: true };\n      }\n    } else if (isSet(value)) {\n      if (vnode.props && value.has(vnode.props.value)) {\n        return { checked: true };\n      }\n    } else if (value) {\n      return { checked: true };\n    }\n  };\n  vModelDynamic.getSSRProps = (binding, vnode) => {\n    if (typeof vnode.type !== \"string\") {\n      return;\n    }\n    const modelToUse = resolveDynamicModel(\n      // resolveDynamicModel expects an uppercase tag name, but vnode.type is lowercase\n      vnode.type.toUpperCase(),\n      vnode.props && vnode.props.type\n    );\n    if (modelToUse.getSSRProps) {\n      return modelToUse.getSSRProps(binding, vnode);\n    }\n  };\n}\n\nconst systemModifiers = [\"ctrl\", \"shift\", \"alt\", \"meta\"];\nconst modifierGuards = {\n  stop: (e) => e.stopPropagation(),\n  prevent: (e) => e.preventDefault(),\n  self: (e) => e.target !== e.currentTarget,\n  ctrl: (e) => !e.ctrlKey,\n  shift: (e) => !e.shiftKey,\n  alt: (e) => !e.altKey,\n  meta: (e) => !e.metaKey,\n  left: (e) => \"button\" in e && e.button !== 0,\n  middle: (e) => \"button\" in e && e.button !== 1,\n  right: (e) => \"button\" in e && e.button !== 2,\n  exact: (e, modifiers) => systemModifiers.some((m) => e[`${m}Key`] && !modifiers.includes(m))\n};\nconst withModifiers = (fn, modifiers) => {\n  const cache = fn._withMods || (fn._withMods = {});\n  const cacheKey = modifiers.join(\".\");\n  return cache[cacheKey] || (cache[cacheKey] = (event, ...args) => {\n    for (let i = 0; i < modifiers.length; i++) {\n      const guard = modifierGuards[modifiers[i]];\n      if (guard && guard(event, modifiers)) return;\n    }\n    return fn(event, ...args);\n  });\n};\nconst keyNames = {\n  esc: \"escape\",\n  space: \" \",\n  up: \"arrow-up\",\n  left: \"arrow-left\",\n  right: \"arrow-right\",\n  down: \"arrow-down\",\n  delete: \"backspace\"\n};\nconst withKeys = (fn, modifiers) => {\n  const cache = fn._withKeys || (fn._withKeys = {});\n  const cacheKey = modifiers.join(\".\");\n  return cache[cacheKey] || (cache[cacheKey] = (event) => {\n    if (!(\"key\" in event)) {\n      return;\n    }\n    const eventKey = hyphenate(event.key);\n    if (modifiers.some((k) => k === eventKey || keyNames[k] === eventKey)) {\n      return fn(event);\n    }\n  });\n};\n\nconst rendererOptions = /* @__PURE__ */ extend({ patchProp }, nodeOps);\nlet renderer;\nlet enabledHydration = false;\nfunction ensureRenderer() {\n  return renderer || (renderer = createRenderer(rendererOptions));\n}\nfunction ensureHydrationRenderer() {\n  renderer = enabledHydration ? renderer : createHydrationRenderer(rendererOptions);\n  enabledHydration = true;\n  return renderer;\n}\nconst render = (...args) => {\n  ensureRenderer().render(...args);\n};\nconst hydrate = (...args) => {\n  ensureHydrationRenderer().hydrate(...args);\n};\nconst createApp = (...args) => {\n  const app = ensureRenderer().createApp(...args);\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    injectNativeTagCheck(app);\n    injectCompilerOptionsCheck(app);\n  }\n  const { mount } = app;\n  app.mount = (containerOrSelector) => {\n    const container = normalizeContainer(containerOrSelector);\n    if (!container) return;\n    const component = app._component;\n    if (!isFunction(component) && !component.render && !component.template) {\n      component.template = container.innerHTML;\n    }\n    container.innerHTML = \"\";\n    const proxy = mount(container, false, resolveRootNamespace(container));\n    if (container instanceof Element) {\n      container.removeAttribute(\"v-cloak\");\n      container.setAttribute(\"data-v-app\", \"\");\n    }\n    return proxy;\n  };\n  return app;\n};\nconst createSSRApp = (...args) => {\n  const app = ensureHydrationRenderer().createApp(...args);\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    injectNativeTagCheck(app);\n    injectCompilerOptionsCheck(app);\n  }\n  const { mount } = app;\n  app.mount = (containerOrSelector) => {\n    const container = normalizeContainer(containerOrSelector);\n    if (container) {\n      return mount(container, true, resolveRootNamespace(container));\n    }\n  };\n  return app;\n};\nfunction resolveRootNamespace(container) {\n  if (container instanceof SVGElement) {\n    return \"svg\";\n  }\n  if (typeof MathMLElement === \"function\" && container instanceof MathMLElement) {\n    return \"mathml\";\n  }\n}\nfunction injectNativeTagCheck(app) {\n  Object.defineProperty(app.config, \"isNativeTag\", {\n    value: (tag) => isHTMLTag(tag) || isSVGTag(tag) || isMathMLTag(tag),\n    writable: false\n  });\n}\nfunction injectCompilerOptionsCheck(app) {\n  if (isRuntimeOnly()) {\n    const isCustomElement = app.config.isCustomElement;\n    Object.defineProperty(app.config, \"isCustomElement\", {\n      get() {\n        return isCustomElement;\n      },\n      set() {\n        warn(\n          `The \\`isCustomElement\\` config option is deprecated. Use \\`compilerOptions.isCustomElement\\` instead.`\n        );\n      }\n    });\n    const compilerOptions = app.config.compilerOptions;\n    const msg = `The \\`compilerOptions\\` config option is only respected when using a build of Vue.js that includes the runtime compiler (aka \"full build\"). Since you are using the runtime-only build, \\`compilerOptions\\` must be passed to \\`@vue/compiler-dom\\` in the build setup instead.\n- For vue-loader: pass it via vue-loader's \\`compilerOptions\\` loader option.\n- For vue-cli: see https://cli.vuejs.org/guide/webpack.html#modifying-options-of-a-loader\n- For vite: pass it via @vitejs/plugin-vue options. See https://github.com/vitejs/vite-plugin-vue/tree/main/packages/plugin-vue#example-for-passing-options-to-vuecompiler-sfc`;\n    Object.defineProperty(app.config, \"compilerOptions\", {\n      get() {\n        warn(msg);\n        return compilerOptions;\n      },\n      set() {\n        warn(msg);\n      }\n    });\n  }\n}\nfunction normalizeContainer(container) {\n  if (isString(container)) {\n    const res = document.querySelector(container);\n    if (!!(process.env.NODE_ENV !== \"production\") && !res) {\n      warn(\n        `Failed to mount app: mount target selector \"${container}\" returned null.`\n      );\n    }\n    return res;\n  }\n  if (!!(process.env.NODE_ENV !== \"production\") && window.ShadowRoot && container instanceof window.ShadowRoot && container.mode === \"closed\") {\n    warn(\n      `mounting on a ShadowRoot with \\`{mode: \"closed\"}\\` may lead to unpredictable bugs`\n    );\n  }\n  return container;\n}\nlet ssrDirectiveInitialized = false;\nconst initDirectivesForSSR = () => {\n  if (!ssrDirectiveInitialized) {\n    ssrDirectiveInitialized = true;\n    initVModelForSSR();\n    initVShowForSSR();\n  }\n} ;\n\nexport { Transition, TransitionGroup, VueElement, createApp, createSSRApp, defineCustomElement, defineSSRCustomElement, hydrate, initDirectivesForSSR, render, useCssModule, useCssVars, vModelCheckbox, vModelDynamic, vModelRadio, vModelSelect, vModelText, vShow, withKeys, withModifiers };\n","/**\n* vue v3.4.31\n* (c) 2018-present Yuxi (Evan) You and Vue contributors\n* @license MIT\n**/\nimport { initCustomFormatter, warn } from '@vue/runtime-dom';\nexport * from '@vue/runtime-dom';\n\nfunction initDev() {\n  {\n    initCustomFormatter();\n  }\n}\n\nif (!!(process.env.NODE_ENV !== \"production\")) {\n  initDev();\n}\nconst compile = () => {\n  if (!!(process.env.NODE_ENV !== \"production\")) {\n    warn(\n      `Runtime compilation is not supported in this build of Vue.` + (` Configure your bundler to alias \"vue\" to \"vue/dist/vue.esm-bundler.js\".` )\n    );\n  }\n};\n\nexport { compile };\n","var __defProp = Object.defineProperty;\nvar __getOwnPropSymbols = Object.getOwnPropertySymbols;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __propIsEnum = Object.prototype.propertyIsEnumerable;\nvar __defNormalProp = (obj, key, value) => key in obj ? __defProp(obj, key, { enumerable: true, configurable: true, writable: true, value }) : obj[key] = value;\nvar __spreadValues = (a, b) => {\n  for (var prop in b || (b = {}))\n    if (__hasOwnProp.call(b, prop))\n      __defNormalProp(a, prop, b[prop]);\n  if (__getOwnPropSymbols)\n    for (var prop of __getOwnPropSymbols(b)) {\n      if (__propIsEnum.call(b, prop))\n        __defNormalProp(a, prop, b[prop]);\n    }\n  return a;\n};\n\n// src/object/methods/isEmpty.ts\nfunction isEmpty(value) {\n  return value === null || value === void 0 || value === \"\" || Array.isArray(value) && value.length === 0 || !(value instanceof Date) && typeof value === \"object\" && Object.keys(value).length === 0;\n}\n\n// src/object/methods/compare.ts\nfunction compare(value1, value2, comparator, order = 1) {\n  let result = -1;\n  const emptyValue1 = isEmpty(value1);\n  const emptyValue2 = isEmpty(value2);\n  if (emptyValue1 && emptyValue2) result = 0;\n  else if (emptyValue1) result = order;\n  else if (emptyValue2) result = -order;\n  else if (typeof value1 === \"string\" && typeof value2 === \"string\") result = comparator(value1, value2);\n  else result = value1 < value2 ? -1 : value1 > value2 ? 1 : 0;\n  return result;\n}\n\n// src/object/methods/deepEquals.ts\nfunction deepEquals(obj1, obj2) {\n  if (obj1 === obj2) return true;\n  if (obj1 && obj2 && typeof obj1 == \"object\" && typeof obj2 == \"object\") {\n    var arrObj1 = Array.isArray(obj1), arrObj2 = Array.isArray(obj2), i, length, key;\n    if (arrObj1 && arrObj2) {\n      length = obj1.length;\n      if (length != obj2.length) return false;\n      for (i = length; i-- !== 0; ) if (!deepEquals(obj1[i], obj2[i])) return false;\n      return true;\n    }\n    if (arrObj1 != arrObj2) return false;\n    var dateObj1 = obj1 instanceof Date, dateObj2 = obj2 instanceof Date;\n    if (dateObj1 != dateObj2) return false;\n    if (dateObj1 && dateObj2) return obj1.getTime() == obj2.getTime();\n    var regexpObj1 = obj1 instanceof RegExp, regexpObj2 = obj2 instanceof RegExp;\n    if (regexpObj1 != regexpObj2) return false;\n    if (regexpObj1 && regexpObj2) return obj1.toString() == obj2.toString();\n    var keys = Object.keys(obj1);\n    length = keys.length;\n    if (length !== Object.keys(obj2).length) return false;\n    for (i = length; i-- !== 0; ) if (!Object.prototype.hasOwnProperty.call(obj2, keys[i])) return false;\n    for (i = length; i-- !== 0; ) {\n      key = keys[i];\n      if (!deepEquals(obj1[key], obj2[key])) return false;\n    }\n    return true;\n  }\n  return obj1 !== obj1 && obj2 !== obj2;\n}\n\n// src/object/methods/isFunction.ts\nfunction isFunction(value) {\n  return !!(value && value.constructor && value.call && value.apply);\n}\n\n// src/object/methods/isNotEmpty.ts\nfunction isNotEmpty(value) {\n  return !isEmpty(value);\n}\n\n// src/object/methods/resolveFieldData.ts\nfunction resolveFieldData(data, field) {\n  if (!data || !field) {\n    return null;\n  }\n  try {\n    const value = data[field];\n    if (isNotEmpty(value)) return value;\n  } catch (e) {\n  }\n  if (Object.keys(data).length) {\n    if (isFunction(field)) {\n      return field(data);\n    } else if (field.indexOf(\".\") === -1) {\n      return data[field];\n    } else {\n      let fields = field.split(\".\");\n      let value = data;\n      for (let i = 0, len = fields.length; i < len; ++i) {\n        if (value == null) {\n          return null;\n        }\n        value = value[fields[i]];\n      }\n      return value;\n    }\n  }\n  return null;\n}\n\n// src/object/methods/equals.ts\nfunction equals(obj1, obj2, field) {\n  if (field) return resolveFieldData(obj1, field) === resolveFieldData(obj2, field);\n  else return deepEquals(obj1, obj2);\n}\n\n// src/object/methods/contains.ts\nfunction contains(value, list) {\n  if (value != null && list && list.length) {\n    for (let val of list) {\n      if (equals(value, val)) return true;\n    }\n  }\n  return false;\n}\n\n// src/object/methods/filter.ts\nfunction filter(value, fields, filterValue) {\n  let filteredItems = [];\n  if (value) {\n    for (let item of value) {\n      for (let field of fields) {\n        if (String(resolveFieldData(item, field)).toLowerCase().indexOf(filterValue.toLowerCase()) > -1) {\n          filteredItems.push(item);\n          break;\n        }\n      }\n    }\n  }\n  return filteredItems;\n}\n\n// src/object/methods/findIndexInList.ts\nfunction findIndexInList(value, list) {\n  let index = -1;\n  if (list) {\n    for (let i = 0; i < list.length; i++) {\n      if (list[i] === value) {\n        index = i;\n        break;\n      }\n    }\n  }\n  return index;\n}\n\n// src/object/methods/findLast.ts\nfunction findLast(arr, callback) {\n  let item;\n  if (isNotEmpty(arr)) {\n    try {\n      item = arr.findLast(callback);\n    } catch (e) {\n      item = [...arr].reverse().find(callback);\n    }\n  }\n  return item;\n}\n\n// src/object/methods/findLastIndex.ts\nfunction findLastIndex(arr, callback) {\n  let index = -1;\n  if (isNotEmpty(arr)) {\n    try {\n      index = arr.findLastIndex(callback);\n    } catch (e) {\n      index = arr.lastIndexOf([...arr].reverse().find(callback));\n    }\n  }\n  return index;\n}\n\n// src/object/methods/isObject.ts\nfunction isObject(value, empty = true) {\n  return value instanceof Object && value.constructor === Object && (empty || Object.keys(value).length !== 0);\n}\n\n// src/object/methods/resolve.ts\nfunction resolve(obj, ...params) {\n  return isFunction(obj) ? obj(...params) : obj;\n}\n\n// src/object/methods/isString.ts\nfunction isString(value, empty = true) {\n  return typeof value === \"string\" && (empty || value !== \"\");\n}\n\n// src/object/methods/toFlatCase.ts\nfunction toFlatCase(str) {\n  return isString(str) ? str.replace(/(-|_)/g, \"\").toLowerCase() : str;\n}\n\n// src/object/methods/getKeyValue.ts\nfunction getKeyValue(obj, key = \"\", params = {}) {\n  const fKeys = toFlatCase(key).split(\".\");\n  const fKey = fKeys.shift();\n  return fKey ? isObject(obj) ? getKeyValue(resolve(obj[Object.keys(obj).find((k) => toFlatCase(k) === fKey) || \"\"], params), fKeys.join(\".\"), params) : void 0 : resolve(obj, params);\n}\n\n// src/object/methods/insertIntoOrderedArray.ts\nfunction insertIntoOrderedArray(item, index, arr, sourceArr) {\n  if (arr.length > 0) {\n    let injected = false;\n    for (let i = 0; i < arr.length; i++) {\n      let currentItemIndex = findIndexInList(arr[i], sourceArr);\n      if (currentItemIndex > index) {\n        arr.splice(i, 0, item);\n        injected = true;\n        break;\n      }\n    }\n    if (!injected) {\n      arr.push(item);\n    }\n  } else {\n    arr.push(item);\n  }\n}\n\n// src/object/methods/isArray.ts\nfunction isArray(value, empty = true) {\n  return Array.isArray(value) && (empty || value.length !== 0);\n}\n\n// src/object/methods/isDate.ts\nfunction isDate(value) {\n  return value instanceof Date && value.constructor === Date;\n}\n\n// src/object/methods/isNumber.ts\nfunction isNumber(value) {\n  return isNotEmpty(value) && !isNaN(value);\n}\n\n// src/object/methods/isPrintableCharacter.ts\nfunction isPrintableCharacter(char = \"\") {\n  return isNotEmpty(char) && char.length === 1 && !!char.match(/\\S| /);\n}\n\n// src/object/methods/localeComparator.ts\nfunction localeComparator() {\n  return new Intl.Collator(void 0, { numeric: true }).compare;\n}\n\n// src/object/methods/matchRegex.ts\nfunction matchRegex(str, regex) {\n  if (regex) {\n    const match = regex.test(str);\n    regex.lastIndex = 0;\n    return match;\n  }\n  return false;\n}\n\n// src/object/methods/mergeKeys.ts\nfunction mergeKeys(...args) {\n  const _mergeKeys = (target = {}, source = {}) => {\n    const mergedObj = __spreadValues({}, target);\n    Object.keys(source).forEach((key) => {\n      if (isObject(source[key]) && key in target && isObject(target[key])) {\n        mergedObj[key] = _mergeKeys(target[key], source[key]);\n      } else {\n        mergedObj[key] = source[key];\n      }\n    });\n    return mergedObj;\n  };\n  return args.reduce((acc, obj, i) => i === 0 ? obj : _mergeKeys(acc, obj), {});\n}\n\n// src/object/methods/minifyCSS.ts\nfunction minifyCSS(css) {\n  return css ? css.replace(/\\/\\*(?:(?!\\*\\/)[\\s\\S])*\\*\\/|[\\r\\n\\t]+/g, \"\").replace(/ {2,}/g, \" \").replace(/ ([{:}]) /g, \"$1\").replace(/([;,]) /g, \"$1\").replace(/ !/g, \"!\").replace(/: /g, \":\") : css;\n}\n\n// src/object/methods/nestedKeys.ts\nfunction nestedKeys(obj = {}, parentKey = \"\") {\n  return Object.entries(obj).reduce((o, [key, value]) => {\n    const currentKey = parentKey ? `${parentKey}.${key}` : key;\n    isObject(value) ? o = o.concat(nestedKeys(value, currentKey)) : o.push(currentKey);\n    return o;\n  }, []);\n}\n\n// src/object/methods/removeAccents.ts\nfunction removeAccents(str) {\n  if (str && str.search(/[\\xC0-\\xFF]/g) > -1) {\n    str = str.replace(/[\\xC0-\\xC5]/g, \"A\").replace(/[\\xC6]/g, \"AE\").replace(/[\\xC7]/g, \"C\").replace(/[\\xC8-\\xCB]/g, \"E\").replace(/[\\xCC-\\xCF]/g, \"I\").replace(/[\\xD0]/g, \"D\").replace(/[\\xD1]/g, \"N\").replace(/[\\xD2-\\xD6\\xD8]/g, \"O\").replace(/[\\xD9-\\xDC]/g, \"U\").replace(/[\\xDD]/g, \"Y\").replace(/[\\xDE]/g, \"P\").replace(/[\\xE0-\\xE5]/g, \"a\").replace(/[\\xE6]/g, \"ae\").replace(/[\\xE7]/g, \"c\").replace(/[\\xE8-\\xEB]/g, \"e\").replace(/[\\xEC-\\xEF]/g, \"i\").replace(/[\\xF1]/g, \"n\").replace(/[\\xF2-\\xF6\\xF8]/g, \"o\").replace(/[\\xF9-\\xFC]/g, \"u\").replace(/[\\xFE]/g, \"p\").replace(/[\\xFD\\xFF]/g, \"y\");\n  }\n  return str;\n}\n\n// src/object/methods/reorderArray.ts\nfunction reorderArray(value, from, to) {\n  if (value && from !== to) {\n    if (to >= value.length) {\n      to %= value.length;\n      from %= value.length;\n    }\n    value.splice(to, 0, value.splice(from, 1)[0]);\n  }\n}\n\n// src/object/methods/sort.ts\nfunction sort(value1, value2, order = 1, comparator, nullSortOrder = 1) {\n  const result = compare(value1, value2, comparator, order);\n  let finalSortOrder = order;\n  if (isEmpty(value1) || isEmpty(value2)) {\n    finalSortOrder = nullSortOrder === 1 ? order : nullSortOrder;\n  }\n  return finalSortOrder * result;\n}\n\n// src/object/methods/stringify.ts\nfunction stringify(value, indent = 2, currentIndent = 0) {\n  const currentIndentStr = \" \".repeat(currentIndent);\n  const nextIndentStr = \" \".repeat(currentIndent + indent);\n  if (isArray(value)) {\n    return \"[\" + value.map((v) => stringify(v, indent, currentIndent + indent)).join(\", \") + \"]\";\n  } else if (isDate(value)) {\n    return value.toISOString();\n  } else if (isFunction(value)) {\n    return value.toString();\n  } else if (isObject(value)) {\n    return \"{\\n\" + Object.entries(value).map(([k, v]) => `${nextIndentStr}${k}: ${stringify(v, indent, currentIndent + indent)}`).join(\",\\n\") + `\n${currentIndentStr}}`;\n  } else {\n    return JSON.stringify(value);\n  }\n}\n\n// src/object/methods/toCapitalCase.ts\nfunction toCapitalCase(str) {\n  return isString(str, false) ? str[0].toUpperCase() + str.slice(1) : str;\n}\n\n// src/object/methods/toKebabCase.ts\nfunction toKebabCase(str) {\n  return isString(str) ? str.replace(/(_)/g, \"-\").replace(/[A-Z]/g, (c, i) => i === 0 ? c : \"-\" + c.toLowerCase()).toLowerCase() : str;\n}\n\n// src/object/methods/toTokenKey.ts\nfunction toTokenKey(str) {\n  return isString(str) ? str.replace(/[A-Z]/g, (c, i) => i === 0 ? c : \".\" + c.toLowerCase()).toLowerCase() : str;\n}\nexport {\n  compare,\n  contains,\n  deepEquals,\n  equals,\n  filter,\n  findIndexInList,\n  findLast,\n  findLastIndex,\n  getKeyValue,\n  insertIntoOrderedArray,\n  isArray,\n  isDate,\n  isEmpty,\n  isFunction,\n  isNotEmpty,\n  isNumber,\n  isObject,\n  isPrintableCharacter,\n  isString,\n  localeComparator,\n  matchRegex,\n  mergeKeys,\n  minifyCSS,\n  nestedKeys,\n  removeAccents,\n  reorderArray,\n  resolve,\n  resolveFieldData,\n  sort,\n  stringify,\n  toCapitalCase,\n  toFlatCase,\n  toKebabCase,\n  toTokenKey\n};\n//# sourceMappingURL=index.mjs.map","// src/eventbus/index.ts\nfunction EventBus() {\n  const allHandlers = /* @__PURE__ */ new Map();\n  return {\n    on(type, handler) {\n      let handlers = allHandlers.get(type);\n      if (!handlers) handlers = [handler];\n      else handlers.push(handler);\n      allHandlers.set(type, handlers);\n      return this;\n    },\n    off(type, handler) {\n      let handlers = allHandlers.get(type);\n      if (handlers) {\n        handlers.splice(handlers.indexOf(handler) >>> 0, 1);\n      }\n      return this;\n    },\n    emit(type, evt) {\n      let handlers = allHandlers.get(type);\n      if (handlers) {\n        handlers.slice().map((handler) => {\n          handler(evt);\n        });\n      }\n    },\n    clear() {\n      allHandlers.clear();\n    }\n  };\n}\nexport {\n  EventBus\n};\n//# sourceMappingURL=index.mjs.map","var __defProp = Object.defineProperty;\nvar __defProps = Object.defineProperties;\nvar __getOwnPropDescs = Object.getOwnPropertyDescriptors;\nvar __getOwnPropSymbols = Object.getOwnPropertySymbols;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __propIsEnum = Object.prototype.propertyIsEnumerable;\nvar __defNormalProp = (obj, key, value) => key in obj ? __defProp(obj, key, { enumerable: true, configurable: true, writable: true, value }) : obj[key] = value;\nvar __spreadValues = (a, b) => {\n  for (var prop in b || (b = {}))\n    if (__hasOwnProp.call(b, prop))\n      __defNormalProp(a, prop, b[prop]);\n  if (__getOwnPropSymbols)\n    for (var prop of __getOwnPropSymbols(b)) {\n      if (__propIsEnum.call(b, prop))\n        __defNormalProp(a, prop, b[prop]);\n    }\n  return a;\n};\nvar __spreadProps = (a, b) => __defProps(a, __getOwnPropDescs(b));\nvar __objRest = (source, exclude) => {\n  var target = {};\n  for (var prop in source)\n    if (__hasOwnProp.call(source, prop) && exclude.indexOf(prop) < 0)\n      target[prop] = source[prop];\n  if (source != null && __getOwnPropSymbols)\n    for (var prop of __getOwnPropSymbols(source)) {\n      if (exclude.indexOf(prop) < 0 && __propIsEnum.call(source, prop))\n        target[prop] = source[prop];\n    }\n  return target;\n};\n\n// src/actions/definePreset.ts\nimport { mergeKeys } from \"@primeuix/utils/object\";\nfunction definePreset(...presets) {\n  return mergeKeys(...presets);\n}\n\n// src/actions/updatePreset.ts\nimport { mergeKeys as mergeKeys3 } from \"@primeuix/utils/object\";\n\n// src/service/index.ts\nimport { EventBus } from \"@primeuix/utils/eventbus\";\nvar ThemeService = EventBus();\nvar service_default = ThemeService;\n\n// src/utils/sharedUtils.ts\nimport { getKeyValue, isArray, isNotEmpty, isNumber, isObject, isString, matchRegex, toKebabCase } from \"@primeuix/utils/object\";\nfunction toTokenKey(str) {\n  return isString(str) ? str.replace(/[A-Z]/g, (c, i) => i === 0 ? c : \".\" + c.toLowerCase()).toLowerCase() : str;\n}\nfunction merge(value1, value2) {\n  if (isArray(value1)) {\n    value1.push(...value2 || []);\n  } else if (isObject(value1)) {\n    Object.assign(value1, value2);\n  }\n}\nfunction toValue(value) {\n  return isObject(value) && value.hasOwnProperty(\"value\") && value.hasOwnProperty(\"type\") ? value.value : value;\n}\nfunction toUnit(value, variable = \"\") {\n  const excludedProperties = [\"opacity\", \"z-index\", \"line-height\", \"font-weight\", \"flex\", \"flex-grow\", \"flex-shrink\", \"order\"];\n  if (!excludedProperties.some((property) => variable.endsWith(property))) {\n    const val = `${value}`.trim();\n    const valArr = val.split(\" \");\n    return valArr.map((v) => isNumber(v) ? `${v}px` : v).join(\" \");\n  }\n  return value;\n}\nfunction toNormalizePrefix(prefix) {\n  return prefix.replaceAll(/ /g, \"\").replace(/[^\\w]/g, \"-\");\n}\nfunction toNormalizeVariable(prefix = \"\", variable = \"\") {\n  return toNormalizePrefix(`${isString(prefix, false) && isString(variable, false) ? `${prefix}-` : prefix}${variable}`);\n}\nfunction getVariableName(prefix = \"\", variable = \"\") {\n  return `--${toNormalizeVariable(prefix, variable)}`;\n}\nfunction getVariableValue(value, variable = \"\", prefix = \"\", excludedKeyRegexes = [], fallback) {\n  if (isString(value)) {\n    const regex = /{([^}]*)}/g;\n    const val = value.trim();\n    if (matchRegex(val, regex)) {\n      const _val = val.replaceAll(regex, (v) => {\n        const path = v.replace(/{|}/g, \"\");\n        const keys = path.split(\".\").filter((_v) => !excludedKeyRegexes.some((_r) => matchRegex(_v, _r)));\n        return `var(${getVariableName(prefix, toKebabCase(keys.join(\"-\")))}${isNotEmpty(fallback) ? `, ${fallback}` : \"\"})`;\n      });\n      const calculationRegex = /(\\d+\\s+[\\+\\-\\*\\/]\\s+\\d+)/g;\n      const cleanedVarRegex = /var\\([^)]+\\)/g;\n      return matchRegex(_val.replace(cleanedVarRegex, \"0\"), calculationRegex) ? `calc(${_val})` : _val;\n    }\n    return toUnit(val, variable);\n  } else if (isNumber(value)) {\n    return toUnit(value, variable);\n  }\n  return void 0;\n}\nfunction getComputedValue(obj = {}, value) {\n  if (isString(value)) {\n    const regex = /{([^}]*)}/g;\n    const val = value.trim();\n    return matchRegex(val, regex) ? val.replaceAll(regex, (v) => getKeyValue(obj, v.replace(/{|}/g, \"\"))) : val;\n  } else if (isNumber(value)) {\n    return value;\n  }\n  return void 0;\n}\nfunction setProperty(properties, key, value) {\n  if (isString(key, false)) {\n    properties.push(`${key}:${value};`);\n  }\n}\nfunction getRule(selector, properties) {\n  if (selector) {\n    return `${selector}{${properties}}`;\n  }\n  return \"\";\n}\n\n// src/utils/themeUtils.ts\nimport { isEmpty, isNotEmpty as isNotEmpty2, isObject as isObject3, matchRegex as matchRegex4, minifyCSS, resolve as resolve2, toTokenKey as toTokenKey2 } from \"@primeuix/utils/object\";\n\n// src/helpers/color/mix.ts\nfunction normalizeColor(color) {\n  if (color.length === 4) {\n    return `#${color[1]}${color[1]}${color[2]}${color[2]}${color[3]}${color[3]}`;\n  }\n  return color;\n}\nfunction hexToRgb(hex) {\n  var bigint = parseInt(hex.substring(1), 16);\n  var r = bigint >> 16 & 255;\n  var g = bigint >> 8 & 255;\n  var b = bigint & 255;\n  return { r, g, b };\n}\nfunction rgbToHex(r, g, b) {\n  return `#${r.toString(16).padStart(2, \"0\")}${g.toString(16).padStart(2, \"0\")}${b.toString(16).padStart(2, \"0\")}`;\n}\nvar mix_default = (color1, color2, weight) => {\n  color1 = normalizeColor(color1);\n  color2 = normalizeColor(color2);\n  var p = weight / 100;\n  var w = p * 2 - 1;\n  var w1 = (w + 1) / 2;\n  var w2 = 1 - w1;\n  var rgb1 = hexToRgb(color1);\n  var rgb2 = hexToRgb(color2);\n  var r = Math.round(rgb1.r * w1 + rgb2.r * w2);\n  var g = Math.round(rgb1.g * w1 + rgb2.g * w2);\n  var b = Math.round(rgb1.b * w1 + rgb2.b * w2);\n  return rgbToHex(r, g, b);\n};\n\n// src/helpers/color/shade.ts\nvar shade_default = (color, percent) => mix_default(\"#000000\", color, percent);\n\n// src/helpers/color/tint.ts\nvar tint_default = (color, percent) => mix_default(\"#ffffff\", color, percent);\n\n// src/helpers/color/palette.ts\nvar scales = [50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 950];\nvar palette_default = (color) => {\n  if (/{([^}]*)}/g.test(color)) {\n    const token = color.replace(/{|}/g, \"\");\n    return scales.reduce((acc, scale) => (acc[scale] = `{${token}.${scale}}`, acc), {});\n  }\n  return typeof color === \"string\" ? scales.reduce((acc, scale, i) => (acc[scale] = i <= 5 ? tint_default(color, (5 - i) * 19) : shade_default(color, (i - 5) * 15), acc), {}) : color;\n};\n\n// src/helpers/css.ts\nimport { resolve } from \"@primeuix/utils/object\";\n\n// src/helpers/dt.ts\nimport { matchRegex as matchRegex2 } from \"@primeuix/utils/object\";\nvar $dt = (tokenPath) => {\n  var _a;\n  const theme = config_default.getTheme();\n  const variable = dtwt(theme, tokenPath, void 0, \"variable\");\n  const name = (_a = variable.match(/--[\\w-]+/g)) == null ? void 0 : _a[0];\n  const value = dtwt(theme, tokenPath, void 0, \"value\");\n  return {\n    name,\n    variable,\n    value\n  };\n};\nvar dt = (...args) => {\n  return dtwt(config_default.getTheme(), ...args);\n};\nvar dtwt = (theme = {}, tokenPath, fallback, type = \"variable\") => {\n  if (tokenPath) {\n    const { variable: VARIABLE, options: OPTIONS } = config_default.defaults || {};\n    const { prefix, transform } = (theme == null ? void 0 : theme.options) || OPTIONS || {};\n    const regex = /{([^}]*)}/g;\n    const token = matchRegex2(tokenPath, regex) ? tokenPath : `{${tokenPath}}`;\n    const isStrictTransform = type === \"value\" || transform === \"strict\";\n    return isStrictTransform ? config_default.getTokenValue(tokenPath) : getVariableValue(token, void 0, prefix, [VARIABLE.excludedKeyRegex], fallback);\n  }\n  return \"\";\n};\n\n// src/helpers/css.ts\nfunction css(style) {\n  return resolve(style, { dt });\n}\n\n// src/helpers/t.ts\nimport { mergeKeys as mergeKeys2 } from \"@primeuix/utils/object\";\nvar $t = (theme = {}) => {\n  let { preset: _preset, options: _options } = theme;\n  return {\n    preset(value) {\n      _preset = _preset ? mergeKeys2(_preset, value) : value;\n      return this;\n    },\n    options(value) {\n      _options = _options ? __spreadValues(__spreadValues({}, _options), value) : value;\n      return this;\n    },\n    // features\n    primaryPalette(primary) {\n      const { semantic } = _preset || {};\n      _preset = __spreadProps(__spreadValues({}, _preset), { semantic: __spreadProps(__spreadValues({}, semantic), { primary }) });\n      return this;\n    },\n    surfacePalette(surface) {\n      var _a, _b;\n      const { semantic } = _preset || {};\n      const lightSurface = (surface == null ? void 0 : surface.hasOwnProperty(\"light\")) ? surface == null ? void 0 : surface.light : surface;\n      const darkSurface = (surface == null ? void 0 : surface.hasOwnProperty(\"dark\")) ? surface == null ? void 0 : surface.dark : surface;\n      const newColorScheme = {\n        colorScheme: {\n          light: __spreadValues(__spreadValues({}, (_a = semantic == null ? void 0 : semantic.colorScheme) == null ? void 0 : _a.light), !!lightSurface && { surface: lightSurface }),\n          dark: __spreadValues(__spreadValues({}, (_b = semantic == null ? void 0 : semantic.colorScheme) == null ? void 0 : _b.dark), !!darkSurface && { surface: darkSurface })\n        }\n      };\n      _preset = __spreadProps(__spreadValues({}, _preset), { semantic: __spreadValues(__spreadValues({}, semantic), newColorScheme) });\n      return this;\n    },\n    // actions\n    define({ useDefaultPreset = false, useDefaultOptions = false } = {}) {\n      return {\n        preset: useDefaultPreset ? config_default.getPreset() : _preset,\n        options: useDefaultOptions ? config_default.getOptions() : _options\n      };\n    },\n    update({ mergePresets = true, mergeOptions = true } = {}) {\n      const newTheme = {\n        preset: mergePresets ? mergeKeys2(config_default.getPreset(), _preset) : _preset,\n        options: mergeOptions ? __spreadValues(__spreadValues({}, config_default.getOptions()), _options) : _options\n      };\n      config_default.setTheme(newTheme);\n      return newTheme;\n    },\n    use(options) {\n      const newTheme = this.define(options);\n      config_default.setTheme(newTheme);\n      return newTheme;\n    }\n  };\n};\n\n// src/helpers/toVariables.ts\nimport { isObject as isObject2, matchRegex as matchRegex3, toKebabCase as toKebabCase2 } from \"@primeuix/utils/object\";\nfunction toVariables_default(theme, options = {}) {\n  const VARIABLE = config_default.defaults.variable;\n  const { prefix = VARIABLE.prefix, selector = VARIABLE.selector, excludedKeyRegex = VARIABLE.excludedKeyRegex } = options;\n  const _toVariables = (_theme, _prefix = \"\") => {\n    return Object.entries(_theme).reduce(\n      (acc, [key, value]) => {\n        const px = matchRegex3(key, excludedKeyRegex) ? toNormalizeVariable(_prefix) : toNormalizeVariable(_prefix, toKebabCase2(key));\n        const v = toValue(value);\n        if (isObject2(v)) {\n          const { variables: variables2, tokens: tokens2 } = _toVariables(v, px);\n          merge(acc[\"tokens\"], tokens2);\n          merge(acc[\"variables\"], variables2);\n        } else {\n          acc[\"tokens\"].push((prefix ? px.replace(`${prefix}-`, \"\") : px).replaceAll(\"-\", \".\"));\n          setProperty(acc[\"variables\"], getVariableName(px), getVariableValue(v, px, prefix, [excludedKeyRegex]));\n        }\n        return acc;\n      },\n      { variables: [], tokens: [] }\n    );\n  };\n  const { variables, tokens } = _toVariables(theme, prefix);\n  return {\n    value: variables,\n    tokens,\n    declarations: variables.join(\"\"),\n    css: getRule(selector, variables.join(\"\"))\n  };\n}\n\n// src/utils/themeUtils.ts\nvar themeUtils_default = {\n  regex: {\n    rules: {\n      class: {\n        pattern: /^\\.([a-zA-Z][\\w-]*)$/,\n        resolve(value) {\n          return { type: \"class\", selector: value, matched: this.pattern.test(value.trim()) };\n        }\n      },\n      attr: {\n        pattern: /^\\[(.*)\\]$/,\n        resolve(value) {\n          return { type: \"attr\", selector: `:root${value}`, matched: this.pattern.test(value.trim()) };\n        }\n      },\n      media: {\n        pattern: /^@media (.*)$/,\n        resolve(value) {\n          return { type: \"media\", selector: `${value}{:root{[CSS]}}`, matched: this.pattern.test(value.trim()) };\n        }\n      },\n      system: {\n        pattern: /^system$/,\n        resolve(value) {\n          return { type: \"system\", selector: \"@media (prefers-color-scheme: dark){:root{[CSS]}}\", matched: this.pattern.test(value.trim()) };\n        }\n      },\n      custom: {\n        resolve(value) {\n          return { type: \"custom\", selector: value, matched: true };\n        }\n      }\n    },\n    resolve(value) {\n      const rules = Object.keys(this.rules).filter((k) => k !== \"custom\").map((r) => this.rules[r]);\n      return [value].flat().map((v) => {\n        var _a;\n        return (_a = rules.map((r) => r.resolve(v)).find((rr) => rr.matched)) != null ? _a : this.rules.custom.resolve(v);\n      });\n    }\n  },\n  _toVariables(theme, options) {\n    return toVariables_default(theme, { prefix: options == null ? void 0 : options.prefix });\n  },\n  getCommon({ name = \"\", theme = {}, params, set, defaults }) {\n    var _c, _d, _e, _f;\n    const { preset, options } = theme;\n    let primitive_css, primitive_tokens, semantic_css, semantic_tokens;\n    if (isNotEmpty2(preset)) {\n      const { primitive, semantic } = preset;\n      const _a = semantic || {}, { colorScheme } = _a, sRest = __objRest(_a, [\"colorScheme\"]);\n      const _b = colorScheme || {}, { dark } = _b, csRest = __objRest(_b, [\"dark\"]);\n      const prim_var = isNotEmpty2(primitive) ? this._toVariables({ primitive }, options) : {};\n      const sRest_var = isNotEmpty2(sRest) ? this._toVariables({ semantic: sRest }, options) : {};\n      const csRest_var = isNotEmpty2(csRest) ? this._toVariables({ light: csRest }, options) : {};\n      const dark_var = isNotEmpty2(dark) ? this._toVariables({ dark }, options) : {};\n      const [prim_css, prim_tokens] = [(_c = prim_var.declarations) != null ? _c : \"\", prim_var.tokens];\n      const [sRest_css, sRest_tokens] = [(_d = sRest_var.declarations) != null ? _d : \"\", sRest_var.tokens || []];\n      const [csRest_css, csRest_tokens] = [(_e = csRest_var.declarations) != null ? _e : \"\", csRest_var.tokens || []];\n      const [dark_css, dark_tokens] = [(_f = dark_var.declarations) != null ? _f : \"\", dark_var.tokens || []];\n      primitive_css = this.transformCSS(name, prim_css, \"light\", \"variable\", options, set, defaults);\n      primitive_tokens = prim_tokens;\n      const semantic_light_css = this.transformCSS(name, `${sRest_css}${csRest_css}color-scheme:light`, \"light\", \"variable\", options, set, defaults);\n      const semantic_dark_css = this.transformCSS(name, `${dark_css}color-scheme:dark`, \"dark\", \"variable\", options, set, defaults);\n      semantic_css = `${semantic_light_css}${semantic_dark_css}`;\n      semantic_tokens = [.../* @__PURE__ */ new Set([...sRest_tokens, ...csRest_tokens, ...dark_tokens])];\n    }\n    return {\n      primitive: {\n        css: primitive_css,\n        tokens: primitive_tokens\n      },\n      semantic: {\n        css: semantic_css,\n        tokens: semantic_tokens\n      }\n    };\n  },\n  getPreset({ name = \"\", preset = {}, options, params, set, defaults, selector }) {\n    var _c, _d, _e;\n    const _name = name.replace(\"-directive\", \"\");\n    const _a = preset, { colorScheme } = _a, vRest = __objRest(_a, [\"colorScheme\"]);\n    const _b = colorScheme || {}, { dark } = _b, csRest = __objRest(_b, [\"dark\"]);\n    const vRest_var = isNotEmpty2(vRest) ? this._toVariables({ [_name]: vRest }, options) : {};\n    const csRest_var = isNotEmpty2(csRest) ? this._toVariables({ [_name]: csRest }, options) : {};\n    const dark_var = isNotEmpty2(dark) ? this._toVariables({ [_name]: dark }, options) : {};\n    const [vRest_css, vRest_tokens] = [(_c = vRest_var.declarations) != null ? _c : \"\", vRest_var.tokens || []];\n    const [csRest_css, csRest_tokens] = [(_d = csRest_var.declarations) != null ? _d : \"\", csRest_var.tokens || []];\n    const [dark_css, dark_tokens] = [(_e = dark_var.declarations) != null ? _e : \"\", dark_var.tokens || []];\n    const tokens = [.../* @__PURE__ */ new Set([...vRest_tokens, ...csRest_tokens, ...dark_tokens])];\n    const light_variable_css = this.transformCSS(_name, `${vRest_css}${csRest_css}`, \"light\", \"variable\", options, set, defaults, selector);\n    const dark_variable_css = this.transformCSS(_name, dark_css, \"dark\", \"variable\", options, set, defaults, selector);\n    return {\n      css: `${light_variable_css}${dark_variable_css}`,\n      tokens\n    };\n  },\n  getPresetC({ name = \"\", theme = {}, params, set, defaults }) {\n    var _a;\n    const { preset, options } = theme;\n    const cPreset = (_a = preset == null ? void 0 : preset.components) == null ? void 0 : _a[name];\n    return this.getPreset({ name, preset: cPreset, options, params, set, defaults });\n  },\n  getPresetD({ name = \"\", theme = {}, params, set, defaults }) {\n    var _a;\n    const dName = name.replace(\"-directive\", \"\");\n    const { preset, options } = theme;\n    const dPreset = (_a = preset == null ? void 0 : preset.directives) == null ? void 0 : _a[dName];\n    return this.getPreset({ name: dName, preset: dPreset, options, params, set, defaults });\n  },\n  getColorSchemeOption(options, defaults) {\n    var _a;\n    return this.regex.resolve((_a = options.darkModeSelector) != null ? _a : defaults.options.darkModeSelector);\n  },\n  getLayerOrder(name, options = {}, params, defaults) {\n    const { cssLayer } = options;\n    if (cssLayer) {\n      const order = resolve2(cssLayer.order || \"primeui\", params);\n      return `@layer ${order}`;\n    }\n    return \"\";\n  },\n  getCommonStyleSheet({ name = \"\", theme = {}, params, props = {}, set, defaults }) {\n    const common = this.getCommon({ name, theme, params, set, defaults });\n    const _props = Object.entries(props).reduce((acc, [k, v]) => acc.push(`${k}=\"${v}\"`) && acc, []).join(\" \");\n    return Object.entries(common || {}).reduce((acc, [key, value]) => {\n      if (value == null ? void 0 : value.css) {\n        const _css = minifyCSS(value == null ? void 0 : value.css);\n        const id = `${key}-variables`;\n        acc.push(`<style type=\"text/css\" data-primevue-style-id=\"${id}\" ${_props}>${_css}</style>`);\n      }\n      return acc;\n    }, []).join(\"\");\n  },\n  getStyleSheet({ name = \"\", theme = {}, params, props = {}, set, defaults }) {\n    var _a;\n    const options = { name, theme, params, set, defaults };\n    const preset_css = (_a = name.includes(\"-directive\") ? this.getPresetD(options) : this.getPresetC(options)) == null ? void 0 : _a.css;\n    const _props = Object.entries(props).reduce((acc, [k, v]) => acc.push(`${k}=\"${v}\"`) && acc, []).join(\" \");\n    return preset_css ? `<style type=\"text/css\" data-primevue-style-id=\"${name}-variables\" ${_props}>${minifyCSS(preset_css)}</style>` : \"\";\n  },\n  createTokens(obj = {}, defaults, parentKey = \"\", parentPath = \"\", tokens = {}) {\n    Object.entries(obj).forEach(([key, value]) => {\n      const currentKey = matchRegex4(key, defaults.variable.excludedKeyRegex) ? parentKey : parentKey ? `${parentKey}.${toTokenKey2(key)}` : toTokenKey2(key);\n      const currentPath = parentPath ? `${parentPath}.${key}` : key;\n      if (isObject3(value)) {\n        this.createTokens(value, defaults, currentKey, currentPath, tokens);\n      } else {\n        tokens[currentKey] || (tokens[currentKey] = {\n          paths: [],\n          computed(colorScheme, tokenPathMap = {}) {\n            if (colorScheme) {\n              const path = this.paths.find((p) => p.scheme === colorScheme) || this.paths.find((p) => p.scheme === \"none\");\n              return path == null ? void 0 : path.computed(colorScheme, tokenPathMap[\"binding\"]);\n            }\n            return this.paths.map((p) => p.computed(p.scheme, tokenPathMap[p.scheme]));\n          }\n        });\n        tokens[currentKey].paths.push({\n          path: currentPath,\n          value,\n          scheme: currentPath.includes(\"colorScheme.light\") ? \"light\" : currentPath.includes(\"colorScheme.dark\") ? \"dark\" : \"none\",\n          computed(colorScheme, tokenPathMap = {}) {\n            const regex = /{([^}]*)}/g;\n            let computedValue = value;\n            tokenPathMap[\"name\"] = this.path;\n            tokenPathMap[\"binding\"] || (tokenPathMap[\"binding\"] = {});\n            if (matchRegex4(value, regex)) {\n              const val = value.trim();\n              const _val = val.replaceAll(regex, (v) => {\n                var _a, _b;\n                const path = v.replace(/{|}/g, \"\");\n                return (_b = (_a = tokens[path]) == null ? void 0 : _a.computed(colorScheme, tokenPathMap)) == null ? void 0 : _b.value;\n              });\n              const calculationRegex = /(\\d+\\w*\\s+[\\+\\-\\*\\/]\\s+\\d+\\w*)/g;\n              const cleanedVarRegex = /var\\([^)]+\\)/g;\n              computedValue = matchRegex4(_val.replace(cleanedVarRegex, \"0\"), calculationRegex) ? `calc(${_val})` : _val;\n            }\n            isEmpty(tokenPathMap[\"binding\"]) && delete tokenPathMap[\"binding\"];\n            return {\n              colorScheme,\n              path: this.path,\n              paths: tokenPathMap,\n              value: computedValue.includes(\"undefined\") ? void 0 : computedValue\n            };\n          }\n        });\n      }\n    });\n    return tokens;\n  },\n  getTokenValue(tokens, path, defaults) {\n    var _a;\n    const normalizePath = (str) => {\n      const strArr = str.split(\".\");\n      return strArr.filter((s) => !matchRegex4(s.toLowerCase(), defaults.variable.excludedKeyRegex)).join(\".\");\n    };\n    const token = normalizePath(path);\n    const colorScheme = path.includes(\"colorScheme.light\") ? \"light\" : path.includes(\"colorScheme.dark\") ? \"dark\" : void 0;\n    const computedValues = [(_a = tokens[token]) == null ? void 0 : _a.computed(colorScheme)].flat().filter((computed) => computed);\n    return computedValues.length === 1 ? computedValues[0].value : computedValues.reduce((acc = {}, computed) => {\n      const _a2 = computed, { colorScheme: cs } = _a2, rest = __objRest(_a2, [\"colorScheme\"]);\n      acc[cs] = rest;\n      return acc;\n    }, void 0);\n  },\n  transformCSS(name, css2, mode, type, options = {}, set, defaults, selector) {\n    if (isNotEmpty2(css2)) {\n      const { cssLayer } = options;\n      if (type !== \"style\") {\n        const colorSchemeOption = this.getColorSchemeOption(options, defaults);\n        const _css = selector ? getRule(selector, css2) : css2;\n        css2 = mode === \"dark\" ? colorSchemeOption.reduce((acc, { selector: _selector }) => {\n          if (isNotEmpty2(_selector)) {\n            acc += _selector.includes(\"[CSS]\") ? _selector.replace(\"[CSS]\", _css) : getRule(_selector, _css);\n          }\n          return acc;\n        }, \"\") : getRule(selector != null ? selector : \":root\", css2);\n      }\n      if (cssLayer) {\n        const layerOptions = {\n          name: \"primeui\",\n          order: \"primeui\"\n        };\n        isObject3(cssLayer) && (layerOptions.name = resolve2(cssLayer.name, { name, type }));\n        if (isNotEmpty2(layerOptions.name)) {\n          css2 = getRule(`@layer ${layerOptions.name}`, css2);\n          set == null ? void 0 : set.layerNames(layerOptions.name);\n        }\n      }\n      return css2;\n    }\n    return \"\";\n  }\n};\n\n// src/config/index.ts\nvar config_default = {\n  defaults: {\n    variable: {\n      prefix: \"p\",\n      selector: \":root\",\n      excludedKeyRegex: /^(primitive|semantic|components|directives|variables|colorscheme|light|dark|common|root|states)$/gi\n    },\n    options: {\n      prefix: \"p\",\n      darkModeSelector: \"system\",\n      cssLayer: false\n    }\n  },\n  _theme: void 0,\n  _layerNames: /* @__PURE__ */ new Set(),\n  _loadedStyleNames: /* @__PURE__ */ new Set(),\n  _loadingStyles: /* @__PURE__ */ new Set(),\n  _tokens: {},\n  update(newValues = {}) {\n    const { theme } = newValues;\n    if (theme) {\n      this._theme = __spreadProps(__spreadValues({}, theme), {\n        options: __spreadValues(__spreadValues({}, this.defaults.options), theme.options)\n      });\n      this._tokens = themeUtils_default.createTokens(this.preset, this.defaults);\n      this.clearLoadedStyleNames();\n    }\n  },\n  get theme() {\n    return this._theme;\n  },\n  get preset() {\n    var _a;\n    return ((_a = this.theme) == null ? void 0 : _a.preset) || {};\n  },\n  get options() {\n    var _a;\n    return ((_a = this.theme) == null ? void 0 : _a.options) || {};\n  },\n  get tokens() {\n    return this._tokens;\n  },\n  getTheme() {\n    return this.theme;\n  },\n  setTheme(newValue) {\n    this.update({ theme: newValue });\n    service_default.emit(\"theme:change\", newValue);\n  },\n  getPreset() {\n    return this.preset;\n  },\n  setPreset(newValue) {\n    this._theme = __spreadProps(__spreadValues({}, this.theme), { preset: newValue });\n    this._tokens = themeUtils_default.createTokens(newValue, this.defaults);\n    this.clearLoadedStyleNames();\n    service_default.emit(\"preset:change\", newValue);\n    service_default.emit(\"theme:change\", this.theme);\n  },\n  getOptions() {\n    return this.options;\n  },\n  setOptions(newValue) {\n    this._theme = __spreadProps(__spreadValues({}, this.theme), { options: newValue });\n    this.clearLoadedStyleNames();\n    service_default.emit(\"options:change\", newValue);\n    service_default.emit(\"theme:change\", this.theme);\n  },\n  getLayerNames() {\n    return [...this._layerNames];\n  },\n  setLayerNames(layerName) {\n    this._layerNames.add(layerName);\n  },\n  getLoadedStyleNames() {\n    return this._loadedStyleNames;\n  },\n  isStyleNameLoaded(name) {\n    return this._loadedStyleNames.has(name);\n  },\n  setLoadedStyleName(name) {\n    this._loadedStyleNames.add(name);\n  },\n  deleteLoadedStyleName(name) {\n    this._loadedStyleNames.delete(name);\n  },\n  clearLoadedStyleNames() {\n    this._loadedStyleNames.clear();\n  },\n  getTokenValue(tokenPath) {\n    return themeUtils_default.getTokenValue(this.tokens, tokenPath, this.defaults);\n  },\n  getCommon(name = \"\", params) {\n    return themeUtils_default.getCommon({ name, theme: this.theme, params, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } });\n  },\n  getComponent(name = \"\", params) {\n    const options = { name, theme: this.theme, params, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } };\n    return themeUtils_default.getPresetC(options);\n  },\n  getDirective(name = \"\", params) {\n    const options = { name, theme: this.theme, params, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } };\n    return themeUtils_default.getPresetD(options);\n  },\n  getCustomPreset(name = \"\", preset, selector, params) {\n    const options = { name, preset, options: this.options, selector, params, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } };\n    return themeUtils_default.getPreset(options);\n  },\n  getLayerOrderCSS(name = \"\") {\n    return themeUtils_default.getLayerOrder(name, this.options, { names: this.getLayerNames() }, this.defaults);\n  },\n  transformCSS(name = \"\", css2, type = \"style\", mode) {\n    return themeUtils_default.transformCSS(name, css2, mode, type, this.options, { layerNames: this.setLayerNames.bind(this) }, this.defaults);\n  },\n  getCommonStyleSheet(name = \"\", params, props = {}) {\n    return themeUtils_default.getCommonStyleSheet({ name, theme: this.theme, params, props, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } });\n  },\n  getStyleSheet(name, params, props = {}) {\n    return themeUtils_default.getStyleSheet({ name, theme: this.theme, params, props, defaults: this.defaults, set: { layerNames: this.setLayerNames.bind(this) } });\n  },\n  onStyleMounted(name) {\n    this._loadingStyles.add(name);\n  },\n  onStyleUpdated(name) {\n    this._loadingStyles.add(name);\n  },\n  onStyleLoaded(event, { name }) {\n    if (this._loadingStyles.size) {\n      this._loadingStyles.delete(name);\n      service_default.emit(`theme:${name}:load`, event);\n      !this._loadingStyles.size && service_default.emit(\"theme:load\");\n    }\n  }\n};\n\n// src/actions/updatePreset.ts\nfunction updatePreset(...presets) {\n  const newPreset = mergeKeys3(config_default.getPreset(), ...presets);\n  config_default.setPreset(newPreset);\n  return newPreset;\n}\n\n// src/actions/updatePrimaryPalette.ts\nfunction updatePrimaryPalette(primary) {\n  return $t().primaryPalette(primary).update().preset;\n}\n\n// src/actions/updateSurfacePalette.ts\nfunction updateSurfacePalette(palette) {\n  return $t().surfacePalette(palette).update().preset;\n}\n\n// src/actions/usePreset.ts\nimport { mergeKeys as mergeKeys4 } from \"@primeuix/utils/object\";\nfunction usePreset(...presets) {\n  const newPreset = mergeKeys4(...presets);\n  config_default.setPreset(newPreset);\n  return newPreset;\n}\n\n// src/actions/useTheme.ts\nfunction useTheme(theme) {\n  return $t(theme).update({ mergePresets: false });\n}\nexport {\n  $dt,\n  $t,\n  config_default as Theme,\n  service_default as ThemeService,\n  themeUtils_default as ThemeUtils,\n  css,\n  definePreset,\n  dt,\n  dtwt,\n  getComputedValue,\n  getRule,\n  getVariableName,\n  getVariableValue,\n  merge,\n  mix_default as mix,\n  palette_default as palette,\n  setProperty,\n  shade_default as shade,\n  tint_default as tint,\n  toNormalizePrefix,\n  toNormalizeVariable,\n  toTokenKey,\n  toUnit,\n  toValue,\n  toVariables_default as toVariables,\n  updatePreset,\n  updatePrimaryPalette,\n  updateSurfacePalette,\n  usePreset,\n  useTheme\n};\n//# sourceMappingURL=index.mjs.map","import { resolveFieldData, removeAccents, equals } from '@primeuix/utils/object';\n\nvar FilterMatchMode = {\n  STARTS_WITH: 'startsWith',\n  CONTAINS: 'contains',\n  NOT_CONTAINS: 'notContains',\n  ENDS_WITH: 'endsWith',\n  EQUALS: 'equals',\n  NOT_EQUALS: 'notEquals',\n  IN: 'in',\n  LESS_THAN: 'lt',\n  LESS_THAN_OR_EQUAL_TO: 'lte',\n  GREATER_THAN: 'gt',\n  GREATER_THAN_OR_EQUAL_TO: 'gte',\n  BETWEEN: 'between',\n  DATE_IS: 'dateIs',\n  DATE_IS_NOT: 'dateIsNot',\n  DATE_BEFORE: 'dateBefore',\n  DATE_AFTER: 'dateAfter'\n};\n\nvar FilterOperator = {\n  AND: 'and',\n  OR: 'or'\n};\n\nfunction _createForOfIteratorHelper(r, e) { var t = \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"]; if (!t) { if (Array.isArray(r) || (t = _unsupportedIterableToArray(r)) || e  ) { t && (r = t); var _n = 0, F = function F() {}; return { s: F, n: function n() { return _n >= r.length ? { done: !0 } : { done: !1, value: r[_n++] }; }, e: function e(r) { throw r; }, f: F }; } throw new TypeError(\"Invalid attempt to iterate non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); } var o, a = !0, u = !1; return { s: function s() { t = t.call(r); }, n: function n() { var r = t.next(); return a = r.done, r; }, e: function e(r) { u = !0, o = r; }, f: function f() { try { a || null == t[\"return\"] || t[\"return\"](); } finally { if (u) throw o; } } }; }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar FilterService = {\n  filter: function filter(value, fields, filterValue, filterMatchMode, filterLocale) {\n    var filteredItems = [];\n    if (!value) {\n      return filteredItems;\n    }\n    var _iterator = _createForOfIteratorHelper(value),\n      _step;\n    try {\n      for (_iterator.s(); !(_step = _iterator.n()).done;) {\n        var item = _step.value;\n        if (typeof item === 'string') {\n          if (this.filters[filterMatchMode](item, filterValue, filterLocale)) {\n            filteredItems.push(item);\n            continue;\n          }\n        } else {\n          var _iterator2 = _createForOfIteratorHelper(fields),\n            _step2;\n          try {\n            for (_iterator2.s(); !(_step2 = _iterator2.n()).done;) {\n              var field = _step2.value;\n              var fieldValue = resolveFieldData(item, field);\n              if (this.filters[filterMatchMode](fieldValue, filterValue, filterLocale)) {\n                filteredItems.push(item);\n                break;\n              }\n            }\n          } catch (err) {\n            _iterator2.e(err);\n          } finally {\n            _iterator2.f();\n          }\n        }\n      }\n    } catch (err) {\n      _iterator.e(err);\n    } finally {\n      _iterator.f();\n    }\n    return filteredItems;\n  },\n  filters: {\n    startsWith: function startsWith(value, filter, filterLocale) {\n      if (filter === undefined || filter === null || filter === '') {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      var filterValue = removeAccents(filter.toString()).toLocaleLowerCase(filterLocale);\n      var stringValue = removeAccents(value.toString()).toLocaleLowerCase(filterLocale);\n      return stringValue.slice(0, filterValue.length) === filterValue;\n    },\n    contains: function contains(value, filter, filterLocale) {\n      if (filter === undefined || filter === null || filter === '') {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      var filterValue = removeAccents(filter.toString()).toLocaleLowerCase(filterLocale);\n      var stringValue = removeAccents(value.toString()).toLocaleLowerCase(filterLocale);\n      return stringValue.indexOf(filterValue) !== -1;\n    },\n    notContains: function notContains(value, filter, filterLocale) {\n      if (filter === undefined || filter === null || filter === '') {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      var filterValue = removeAccents(filter.toString()).toLocaleLowerCase(filterLocale);\n      var stringValue = removeAccents(value.toString()).toLocaleLowerCase(filterLocale);\n      return stringValue.indexOf(filterValue) === -1;\n    },\n    endsWith: function endsWith(value, filter, filterLocale) {\n      if (filter === undefined || filter === null || filter === '') {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      var filterValue = removeAccents(filter.toString()).toLocaleLowerCase(filterLocale);\n      var stringValue = removeAccents(value.toString()).toLocaleLowerCase(filterLocale);\n      return stringValue.indexOf(filterValue, stringValue.length - filterValue.length) !== -1;\n    },\n    equals: function equals(value, filter, filterLocale) {\n      if (filter === undefined || filter === null || filter === '') {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      if (value.getTime && filter.getTime) return value.getTime() === filter.getTime();else return removeAccents(value.toString()).toLocaleLowerCase(filterLocale) == removeAccents(filter.toString()).toLocaleLowerCase(filterLocale);\n    },\n    notEquals: function notEquals(value, filter, filterLocale) {\n      if (filter === undefined || filter === null || filter === '') {\n        return false;\n      }\n      if (value === undefined || value === null) {\n        return true;\n      }\n      if (value.getTime && filter.getTime) return value.getTime() !== filter.getTime();else return removeAccents(value.toString()).toLocaleLowerCase(filterLocale) != removeAccents(filter.toString()).toLocaleLowerCase(filterLocale);\n    },\n    \"in\": function _in(value, filter) {\n      if (filter === undefined || filter === null || filter.length === 0) {\n        return true;\n      }\n      for (var i = 0; i < filter.length; i++) {\n        if (equals(value, filter[i])) {\n          return true;\n        }\n      }\n      return false;\n    },\n    between: function between(value, filter) {\n      if (filter == null || filter[0] == null || filter[1] == null) {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      if (value.getTime) return filter[0].getTime() <= value.getTime() && value.getTime() <= filter[1].getTime();else return filter[0] <= value && value <= filter[1];\n    },\n    lt: function lt(value, filter) {\n      if (filter === undefined || filter === null) {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      if (value.getTime && filter.getTime) return value.getTime() < filter.getTime();else return value < filter;\n    },\n    lte: function lte(value, filter) {\n      if (filter === undefined || filter === null) {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      if (value.getTime && filter.getTime) return value.getTime() <= filter.getTime();else return value <= filter;\n    },\n    gt: function gt(value, filter) {\n      if (filter === undefined || filter === null) {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      if (value.getTime && filter.getTime) return value.getTime() > filter.getTime();else return value > filter;\n    },\n    gte: function gte(value, filter) {\n      if (filter === undefined || filter === null) {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      if (value.getTime && filter.getTime) return value.getTime() >= filter.getTime();else return value >= filter;\n    },\n    dateIs: function dateIs(value, filter) {\n      if (filter === undefined || filter === null) {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      return value.toDateString() === filter.toDateString();\n    },\n    dateIsNot: function dateIsNot(value, filter) {\n      if (filter === undefined || filter === null) {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      return value.toDateString() !== filter.toDateString();\n    },\n    dateBefore: function dateBefore(value, filter) {\n      if (filter === undefined || filter === null) {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      return value.getTime() < filter.getTime();\n    },\n    dateAfter: function dateAfter(value, filter) {\n      if (filter === undefined || filter === null) {\n        return true;\n      }\n      if (value === undefined || value === null) {\n        return false;\n      }\n      return value.getTime() > filter.getTime();\n    }\n  },\n  register: function register(rule, fn) {\n    this.filters[rule] = fn;\n  }\n};\n\nvar PrimeIcons = {\n  ALIGN_CENTER: 'pi pi-align-center',\n  ALIGN_JUSTIFY: 'pi pi-align-justify',\n  ALIGN_LEFT: 'pi pi-align-left',\n  ALIGN_RIGHT: 'pi pi-align-right',\n  AMAZON: 'pi pi-amazon',\n  ANDROID: 'pi pi-android',\n  ANGLE_DOUBLE_DOWN: 'pi pi-angle-double-down',\n  ANGLE_DOUBLE_LEFT: 'pi pi-angle-double-left',\n  ANGLE_DOUBLE_RIGHT: 'pi pi-angle-double-right',\n  ANGLE_DOUBLE_UP: 'pi pi-angle-double-up',\n  ANGLE_DOWN: 'pi pi-angle-down',\n  ANGLE_LEFT: 'pi pi-angle-left',\n  ANGLE_RIGHT: 'pi pi-angle-right',\n  ANGLE_UP: 'pi pi-angle-up',\n  APPLE: 'pi pi-apple',\n  ARROW_CIRCLE_DOWN: 'pi pi-arrow-circle-down',\n  ARROW_CIRCLE_LEFT: 'pi pi-arrow-circle-left',\n  ARROW_CIRCLE_RIGHT: 'pi pi-arrow-circle-right',\n  ARROW_CIRCLE_UP: 'pi pi-arrow-circle-up',\n  ARROW_DOWN: 'pi pi-arrow-down',\n  ARROW_DOWN_LEFT: 'pi pi-arrow-down-left',\n  ARROW_DOWN_RIGHT: 'pi pi-arrow-down-right',\n  ARROW_LEFT: 'pi pi-arrow-left',\n  ARROW_RIGHT: 'pi pi-arrow-right',\n  ARROW_RIGHT_ARROW_LEFT: 'pi pi-arrow-right-arrow-left',\n  ARROW_UP: 'pi pi-arrow-up',\n  ARROW_UP_LEFT: 'pi pi-arrow-up-left',\n  ARROW_UP_RIGHT: 'pi pi-arrow-up-right',\n  ARROW_H: 'pi pi-arrows-h',\n  ARROW_V: 'pi pi-arrows-v',\n  ARROW_A: 'pi pi-arrows-alt',\n  AT: 'pi pi-at',\n  BACKWARD: 'pi pi-backward',\n  BAN: 'pi pi-ban',\n  BARS: 'pi pi-bars',\n  BELL: 'pi pi-bell',\n  BITCOIN: 'pi pi-bitcoin',\n  BOLT: 'pi pi-bolt',\n  BOOK: 'pi pi-book',\n  BOOKMARK: 'pi pi-bookmark',\n  BOOKMARK_FILL: 'pi pi-bookmark-fill',\n  BOX: 'pi pi-box',\n  BRIEFCASE: 'pi pi-briefcase',\n  BUILDING: 'pi pi-building',\n  CALENDAR: 'pi pi-calendar',\n  CALENDAR_MINUS: 'pi pi-calendar-minus',\n  CALENDAR_PLUS: 'pi pi-calendar-plus',\n  CALENDAR_TIMES: 'pi pi-calendar-times',\n  CALCULATOR: 'pi pi-calculator',\n  CAMERA: 'pi pi-camera',\n  CAR: 'pi pi-car',\n  CARET_DOWN: 'pi pi-caret-down',\n  CARET_LEFT: 'pi pi-caret-left',\n  CARET_RIGHT: 'pi pi-caret-right',\n  CARET_UP: 'pi pi-caret-up',\n  CART_PLUS: 'pi pi-cart-plus',\n  CHART_BAR: 'pi pi-chart-bar',\n  CHART_LINE: 'pi pi-chart-line',\n  CHART_PIE: 'pi pi-chart-pie',\n  CHECK: 'pi pi-check',\n  CHECK_CIRCLE: 'pi pi-check-circle',\n  CHECK_SQUARE: 'pi pi-check-square',\n  CHEVRON_CIRCLE_DOWN: 'pi pi-chevron-circle-down',\n  CHEVRON_CIRCLE_LEFT: 'pi pi-chevron-circle-left',\n  CHEVRON_CIRCLE_RIGHT: 'pi pi-chevron-circle-right',\n  CHEVRON_CIRCLE_UP: 'pi pi-chevron-circle-up',\n  CHEVRON_DOWN: 'pi pi-chevron-down',\n  CHEVRON_LEFT: 'pi pi-chevron-left',\n  CHEVRON_RIGHT: 'pi pi-chevron-right',\n  CHEVRON_UP: 'pi pi-chevron-up',\n  CIRCLE: 'pi pi-circle',\n  CIRCLE_FILL: 'pi pi-circle-fill',\n  CLOCK: 'pi pi-clock',\n  CLONE: 'pi pi-clone',\n  CLOUD: 'pi pi-cloud',\n  CLOUD_DOWNLOAD: 'pi pi-cloud-download',\n  CLOUD_UPLOAD: 'pi pi-cloud-upload',\n  CODE: 'pi pi-code',\n  COG: 'pi pi-cog',\n  COMMENT: 'pi pi-comment',\n  COMMENTS: 'pi pi-comments',\n  COMPASS: 'pi pi-compass',\n  COPY: 'pi pi-copy',\n  CREDIT_CARD: 'pi pi-credit-card',\n  DATABASE: 'pi pi-database',\n  DELETELEFT: 'pi pi-delete-left',\n  DESKTOP: 'pi pi-desktop',\n  DIRECTIONS: 'pi pi-directions',\n  DIRECTIONS_ALT: 'pi pi-directions-alt',\n  DISCORD: 'pi pi-discord',\n  DOLLAR: 'pi pi-dollar',\n  DOWNLOAD: 'pi pi-download',\n  EJECT: 'pi pi-eject',\n  ELLIPSIS_H: 'pi pi-ellipsis-h',\n  ELLIPSIS_V: 'pi pi-ellipsis-v',\n  ENVELOPE: 'pi pi-envelope',\n  ERASER: 'pi pi-eraser',\n  EURO: 'pi pi-euro',\n  EXCLAMATION_CIRCLE: 'pi pi-exclamation-circle',\n  EXCLAMATION_TRIANGLE: 'pi pi-exclamation-triangle',\n  EXTERNAL_LINK: 'pi pi-external-link',\n  EYE: 'pi pi-eye',\n  EYE_SLASH: 'pi pi-eye-slash',\n  FACEBOOK: 'pi pi-facebook',\n  FAST_BACKWARD: 'pi pi-fast-backward',\n  FAST_FORWARD: 'pi pi-fast-forward',\n  FILE: 'pi pi-file',\n  FILE_EDIT: 'pi pi-file-edit',\n  FILE_EXCEL: 'pi pi-file-excel',\n  FILE_EXPORT: 'pi pi-file-export',\n  FILE_IMPORT: 'pi pi-file-import',\n  FILE_PDF: 'pi pi-file-pdf',\n  FILE_WORD: 'pi pi-file-word',\n  FILTER: 'pi pi-filter',\n  FILTER_FILL: 'pi pi-filter-fill',\n  FILTER_SLASH: 'pi pi-filter-slash',\n  FLAG: 'pi pi-flag',\n  FLAG_FILL: 'pi pi-flag-fill',\n  FOLDER: 'pi pi-folder',\n  FOLDER_OPEN: 'pi pi-folder-open',\n  FORWARD: 'pi pi-forward',\n  GIFT: 'pi pi-gift',\n  GITHUB: 'pi pi-github',\n  GLOBE: 'pi pi-globe',\n  GOOGLE: 'pi pi-google',\n  HASHTAG: 'pi pi-hashtag',\n  HEART: 'pi pi-heart',\n  HEART_FILL: 'pi pi-heart-fill',\n  HISTORY: 'pi pi-history',\n  HOURGLASS: 'pi pi-hourglass',\n  HOME: 'pi pi-home',\n  ID_CARD: 'pi pi-id-card',\n  IMAGE: 'pi pi-image',\n  IMAGES: 'pi pi-images',\n  INBOX: 'pi pi-inbox',\n  INFO: 'pi pi-info',\n  INFO_CIRCLE: 'pi pi-info-circle',\n  INSTAGRAM: 'pi pi-instagram',\n  KEY: 'pi pi-key',\n  LANGUAGE: 'pi pi-language',\n  LINK: 'pi pi-link',\n  LINKEDIN: 'pi pi-linkedin',\n  LIST: 'pi pi-list',\n  LOCK: 'pi pi-lock',\n  LOCK_OPEN: 'pi pi-lock-open',\n  MAP: 'pi pi-map',\n  MAP_MARKER: 'pi pi-map-marker',\n  MEGAPHONE: 'pi pi-megaphone',\n  MICREPHONE: 'pi pi-microphone',\n  MICROSOFT: 'pi pi-microsoft',\n  MINUS: 'pi pi-minus',\n  MINUS_CIRCLE: 'pi pi-minus-circle',\n  MOBILE: 'pi pi-mobile',\n  MONEY_BILL: 'pi pi-money-bill',\n  MOON: 'pi pi-moon',\n  PALETTE: 'pi pi-palette',\n  PAPERCLIP: 'pi pi-paperclip',\n  PAUSE: 'pi pi-pause',\n  PAYPAL: 'pi pi-paypal',\n  PENCIL: 'pi pi-pencil',\n  PERCENTAGE: 'pi pi-percentage',\n  PHONE: 'pi pi-phone',\n  PLAY: 'pi pi-play',\n  PLUS: 'pi pi-plus',\n  PLUS_CIRCLE: 'pi pi-plus-circle',\n  POUND: 'pi pi-pound',\n  POWER_OFF: 'pi pi-power-off',\n  PRIME: 'pi pi-prime',\n  PRINT: 'pi pi-print',\n  QRCODE: 'pi pi-qrcode',\n  QUESTION: 'pi pi-question',\n  QUESTION_CIRCLE: 'pi pi-question-circle',\n  REDDIT: 'pi pi-reddit',\n  REFRESH: 'pi pi-refresh',\n  REPLAY: 'pi pi-replay',\n  REPLY: 'pi pi-reply',\n  SAVE: 'pi pi-save',\n  SEARCH: 'pi pi-search',\n  SEARCH_MINUS: 'pi pi-search-minus',\n  SEARCH_PLUS: 'pi pi-search-plus',\n  SEND: 'pi pi-send',\n  SERVER: 'pi pi-server',\n  SHARE_ALT: 'pi pi-share-alt',\n  SHIELD: 'pi pi-shield',\n  SHOPPING_BAG: 'pi pi-shopping-bag',\n  SHOPPING_CART: 'pi pi-shopping-cart',\n  SIGN_IN: 'pi pi-sign-in',\n  SIGN_OUT: 'pi pi-sign-out',\n  SITEMAP: 'pi pi-sitemap',\n  SLACK: 'pi pi-slack',\n  SLIDERS_H: 'pi pi-sliders-h',\n  SLIDERS_V: 'pi pi-sliders-v',\n  SORT: 'pi pi-sort',\n  SORT_ALPHA_DOWN: 'pi pi-sort-alpha-down',\n  SORT_ALPHA_ALT_DOWN: 'pi pi-sort-alpha-down-alt',\n  SORT_ALPHA_UP: 'pi pi-sort-alpha-up',\n  SORT_ALPHA_ALT_UP: 'pi pi-sort-alpha-up-alt',\n  SORT_ALT: 'pi pi-sort-alt',\n  SORT_ALT_SLASH: 'pi pi-sort-alt-slash',\n  SORT_AMOUNT_DOWN: 'pi pi-sort-amount-down',\n  SORT_AMOUNT_DOWN_ALT: 'pi pi-sort-amount-down-alt',\n  SORT_AMOUNT_UP: 'pi pi-sort-amount-up',\n  SORT_AMOUNT_UP_ALT: 'pi pi-sort-amount-up-alt',\n  SORT_DOWN: 'pi pi-sort-down',\n  SORT_NUMERIC_DOWN: 'pi pi-sort-numeric-down',\n  SORT_NUMERIC_ALT_DOWN: 'pi pi-sort-numeric-down-alt',\n  SORT_NUMERIC_UP: 'pi pi-sort-numeric-up',\n  SORT_NUMERIC_ALT_UP: 'pi pi-sort-numeric-up-alt',\n  SORT_UP: 'pi pi-sort-up',\n  SPINNER: 'pi pi-spinner',\n  STAR: 'pi pi-star',\n  STAR_FILL: 'pi pi-star-fill',\n  STEP_BACKWARD: 'pi pi-step-backward',\n  STEP_BACKWARD_ALT: 'pi pi-step-backward-alt',\n  STEP_FORWARD: 'pi pi-step-forward',\n  STEP_FORWARD_ALT: 'pi pi-step-forward-alt',\n  STOP: 'pi pi-stop',\n  STOPWATCH: 'pi pi-stopwatch',\n  STOP_CIRCLE: 'pi pi-stop-circle',\n  SUN: 'pi pi-sun',\n  SYNC: 'pi pi-sync',\n  TABLE: 'pi pi-table',\n  TABLET: 'pi pi-tablet',\n  TAG: 'pi pi-tag',\n  TAGS: 'pi pi-tags',\n  TELEGRAM: 'pi pi-telegram',\n  TH_LARGE: 'pi pi-th-large',\n  THUMBS_DOWN: 'pi pi-thumbs-down',\n  THUMBS_DOWN_FILL: 'pi pi-thumbs-down-fill',\n  THUMBS_UP: 'pi pi-thumbs-up',\n  THUMBS_UP_FILL: 'pi pi-thumbs-up-fill',\n  TICKET: 'pi pi-ticket',\n  TIMES: 'pi pi-times',\n  TIMES_CIRCLE: 'pi pi-times-circle',\n  TRASH: 'pi pi-trash',\n  TRUCK: 'pi pi-truck',\n  TWITTER: 'pi pi-twitter',\n  UNDO: 'pi pi-undo',\n  UNLOCK: 'pi pi-unlock',\n  UPLOAD: 'pi pi-upload',\n  USER: 'pi pi-user',\n  USER_EDIT: 'pi pi-user-edit',\n  USER_MINUS: 'pi pi-user-minus',\n  USER_PLUS: 'pi pi-user-plus',\n  USERS: 'pi pi-users',\n  VERIFIED: 'pi pi-verified',\n  VIDEO: 'pi pi-video',\n  VIMEO: 'pi pi-vimeo',\n  VOLUME_DOWN: 'pi pi-volume-down',\n  VOLUME_OFF: 'pi pi-volume-off',\n  VOLUME_UP: 'pi pi-volume-up',\n  WALLET: 'pi pi-wallet',\n  WHATSAPP: 'pi pi-whatsapp',\n  WIFI: 'pi pi-wifi',\n  WINDOW_MAXIMIZE: 'pi pi-window-maximize',\n  WINDOW_MINIMIZE: 'pi pi-window-minimize',\n  WRENCH: 'pi pi-wrench',\n  YOUTUBE: 'pi pi-youtube'\n};\n\nvar ToastSeverities = {\n  INFO: 'info',\n  WARN: 'warn',\n  ERROR: 'error',\n  SUCCESS: 'success'\n};\n\nexport { FilterMatchMode, FilterOperator, FilterService, PrimeIcons, ToastSeverities as ToastSeverity };\n//# sourceMappingURL=index.mjs.map\n","// src/dom/methods/hasClass.ts\nfunction hasClass(element, className) {\n  if (element) {\n    if (element.classList) return element.classList.contains(className);\n    else return new RegExp(\"(^| )\" + className + \"( |$)\", \"gi\").test(element.className);\n  }\n  return false;\n}\n\n// src/dom/methods/addClass.ts\nfunction addClass(element, className) {\n  if (element && className) {\n    const fn = (_className) => {\n      if (!hasClass(element, _className)) {\n        if (element.classList) element.classList.add(_className);\n        else element.className += \" \" + _className;\n      }\n    };\n    [className].flat().filter(Boolean).forEach((_classNames) => _classNames.split(\" \").forEach(fn));\n  }\n}\n\n// src/dom/methods/calculateBodyScrollbarWidth.ts\nfunction calculateBodyScrollbarWidth() {\n  return window.innerWidth - document.documentElement.offsetWidth;\n}\n\n// src/dom/methods/getCSSVariableByRegex.ts\nfunction getCSSVariableByRegex(variableRegex) {\n  for (const sheet of document == null ? void 0 : document.styleSheets) {\n    try {\n      for (const rule of sheet == null ? void 0 : sheet.cssRules) {\n        for (const property of rule == null ? void 0 : rule.style) {\n          if (variableRegex.test(property)) {\n            return { name: property, value: rule.style.getPropertyValue(property).trim() };\n          }\n        }\n      }\n    } catch (e) {\n    }\n  }\n  return null;\n}\n\n// src/dom/helpers/blockBodyScroll.ts\nfunction blockBodyScroll(className = \"p-overflow-hidden\") {\n  const variableData = getCSSVariableByRegex(/-scrollbar-width$/);\n  (variableData == null ? void 0 : variableData.name) && document.body.style.setProperty(variableData.name, calculateBodyScrollbarWidth() + \"px\");\n  addClass(document.body, className);\n}\n\n// src/dom/helpers/saveAs.ts\nfunction saveAs(file) {\n  if (file) {\n    let link = document.createElement(\"a\");\n    if (link.download !== void 0) {\n      const { name, src } = file;\n      link.setAttribute(\"href\", src);\n      link.setAttribute(\"download\", name);\n      link.style.display = \"none\";\n      document.body.appendChild(link);\n      link.click();\n      document.body.removeChild(link);\n      return true;\n    }\n  }\n  return false;\n}\n\n// src/dom/helpers/exportCSV.ts\nfunction exportCSV(csv, filename) {\n  let blob = new Blob([csv], {\n    type: \"application/csv;charset=utf-8;\"\n  });\n  if (window.navigator.msSaveOrOpenBlob) {\n    navigator.msSaveOrOpenBlob(blob, filename + \".csv\");\n  } else {\n    const isDownloaded = saveAs({ name: filename + \".csv\", src: URL.createObjectURL(blob) });\n    if (!isDownloaded) {\n      csv = \"data:text/csv;charset=utf-8,\" + csv;\n      window.open(encodeURI(csv));\n    }\n  }\n}\n\n// src/dom/methods/removeClass.ts\nfunction removeClass(element, className) {\n  if (element && className) {\n    const fn = (_className) => {\n      if (element.classList) element.classList.remove(_className);\n      else element.className = element.className.replace(new RegExp(\"(^|\\\\b)\" + _className.split(\" \").join(\"|\") + \"(\\\\b|$)\", \"gi\"), \" \");\n    };\n    [className].flat().filter(Boolean).forEach((_classNames) => _classNames.split(\" \").forEach(fn));\n  }\n}\n\n// src/dom/helpers/unblockBodyScroll.ts\nfunction unblockBodyScroll(className = \"p-overflow-hidden\") {\n  const variableData = getCSSVariableByRegex(/-scrollbar-width$/);\n  (variableData == null ? void 0 : variableData.name) && document.body.style.removeProperty(variableData.name);\n  removeClass(document.body, className);\n}\n\n// src/dom/methods/getHiddenElementDimensions.ts\nfunction getHiddenElementDimensions(element) {\n  let dimensions = { width: 0, height: 0 };\n  if (element) {\n    element.style.visibility = \"hidden\";\n    element.style.display = \"block\";\n    dimensions.width = element.offsetWidth;\n    dimensions.height = element.offsetHeight;\n    element.style.display = \"none\";\n    element.style.visibility = \"visible\";\n  }\n  return dimensions;\n}\n\n// src/dom/methods/getViewport.ts\nfunction getViewport() {\n  let win = window, d = document, e = d.documentElement, g = d.getElementsByTagName(\"body\")[0], w = win.innerWidth || e.clientWidth || g.clientWidth, h = win.innerHeight || e.clientHeight || g.clientHeight;\n  return { width: w, height: h };\n}\n\n// src/dom/methods/getWindowScrollLeft.ts\nfunction getWindowScrollLeft() {\n  let doc = document.documentElement;\n  return (window.pageXOffset || doc.scrollLeft) - (doc.clientLeft || 0);\n}\n\n// src/dom/methods/getWindowScrollTop.ts\nfunction getWindowScrollTop() {\n  let doc = document.documentElement;\n  return (window.pageYOffset || doc.scrollTop) - (doc.clientTop || 0);\n}\n\n// src/dom/methods/absolutePosition.ts\nfunction absolutePosition(element, target, gutter = true) {\n  var _a, _b, _c, _d;\n  if (element) {\n    const elementDimensions = element.offsetParent ? { width: element.offsetWidth, height: element.offsetHeight } : getHiddenElementDimensions(element);\n    const elementOuterHeight = elementDimensions.height;\n    const elementOuterWidth = elementDimensions.width;\n    const targetOuterHeight = target.offsetHeight;\n    const targetOuterWidth = target.offsetWidth;\n    const targetOffset = target.getBoundingClientRect();\n    const windowScrollTop = getWindowScrollTop();\n    const windowScrollLeft = getWindowScrollLeft();\n    const viewport = getViewport();\n    let top, left, origin = \"top\";\n    if (targetOffset.top + targetOuterHeight + elementOuterHeight > viewport.height) {\n      top = targetOffset.top + windowScrollTop - elementOuterHeight;\n      origin = \"bottom\";\n      if (top < 0) {\n        top = windowScrollTop;\n      }\n    } else {\n      top = targetOuterHeight + targetOffset.top + windowScrollTop;\n    }\n    if (targetOffset.left + elementOuterWidth > viewport.width) left = Math.max(0, targetOffset.left + windowScrollLeft + targetOuterWidth - elementOuterWidth);\n    else left = targetOffset.left + windowScrollLeft;\n    element.style.top = top + \"px\";\n    element.style.left = left + \"px\";\n    element.style.transformOrigin = origin;\n    gutter && (element.style.marginTop = origin === \"bottom\" ? `calc(${(_b = (_a = getCSSVariableByRegex(/-anchor-gutter$/)) == null ? void 0 : _a.value) != null ? _b : \"2px\"} * -1)` : (_d = (_c = getCSSVariableByRegex(/-anchor-gutter$/)) == null ? void 0 : _c.value) != null ? _d : \"\");\n  }\n}\n\n// src/dom/methods/addStyle.ts\nfunction addStyle(element, style) {\n  if (element) {\n    if (typeof style === \"string\") {\n      element.style.cssText = style;\n    } else {\n      Object.entries(style || {}).forEach(([key, value]) => element.style[key] = value);\n    }\n  }\n}\n\n// src/dom/methods/getOuterWidth.ts\nfunction getOuterWidth(element, margin) {\n  if (element instanceof HTMLElement) {\n    let width = element.offsetWidth;\n    if (margin) {\n      let style = getComputedStyle(element);\n      width += parseFloat(style.marginLeft) + parseFloat(style.marginRight);\n    }\n    return width;\n  }\n  return 0;\n}\n\n// src/dom/methods/relativePosition.ts\nfunction relativePosition(element, target, gutter = true) {\n  var _a, _b, _c, _d;\n  if (element) {\n    const elementDimensions = element.offsetParent ? { width: element.offsetWidth, height: element.offsetHeight } : getHiddenElementDimensions(element);\n    const targetHeight = target.offsetHeight;\n    const targetOffset = target.getBoundingClientRect();\n    const viewport = getViewport();\n    let top, left, origin = \"top\";\n    if (targetOffset.top + targetHeight + elementDimensions.height > viewport.height) {\n      top = -1 * elementDimensions.height;\n      origin = \"bottom\";\n      if (targetOffset.top + top < 0) {\n        top = -1 * targetOffset.top;\n      }\n    } else {\n      top = targetHeight;\n    }\n    if (elementDimensions.width > viewport.width) {\n      left = targetOffset.left * -1;\n    } else if (targetOffset.left + elementDimensions.width > viewport.width) {\n      left = (targetOffset.left + elementDimensions.width - viewport.width) * -1;\n    } else {\n      left = 0;\n    }\n    element.style.top = top + \"px\";\n    element.style.left = left + \"px\";\n    element.style.transformOrigin = origin;\n    gutter && (element.style.marginTop = origin === \"bottom\" ? `calc(${(_b = (_a = getCSSVariableByRegex(/-anchor-gutter$/)) == null ? void 0 : _a.value) != null ? _b : \"2px\"} * -1)` : (_d = (_c = getCSSVariableByRegex(/-anchor-gutter$/)) == null ? void 0 : _c.value) != null ? _d : \"\");\n  }\n}\n\n// src/dom/methods/alignOverlay.ts\nfunction alignOverlay(overlay, target, appendTo, calculateMinWidth = true) {\n  if (overlay && target) {\n    if (appendTo === \"self\") {\n      relativePosition(overlay, target);\n    } else {\n      calculateMinWidth && (overlay.style.minWidth = getOuterWidth(target) + \"px\");\n      absolutePosition(overlay, target);\n    }\n  }\n}\n\n// src/dom/methods/isElement.ts\nfunction isElement(element) {\n  return typeof HTMLElement === \"object\" ? element instanceof HTMLElement : element && typeof element === \"object\" && element !== null && element.nodeType === 1 && typeof element.nodeName === \"string\";\n}\n\n// src/dom/methods/toElement.ts\nfunction toElement(element) {\n  let target = element;\n  if (element && typeof element === \"object\") {\n    if (element.hasOwnProperty(\"current\")) {\n      target = element.current;\n    } else if (element.hasOwnProperty(\"el\")) {\n      if (element.el.hasOwnProperty(\"nativeElement\")) {\n        target = element.el.nativeElement;\n      } else {\n        target = element.el;\n      }\n    }\n  }\n  return isElement(target) ? target : void 0;\n}\n\n// src/dom/methods/appendChild.ts\nfunction appendChild(element, child) {\n  const target = toElement(element);\n  if (target) target.appendChild(child);\n  else throw new Error(\"Cannot append \" + child + \" to \" + element);\n}\n\n// src/dom/methods/calculateScrollbarHeight.ts\nvar calculatedScrollbarHeight = void 0;\nfunction calculateScrollbarHeight(element) {\n  if (element) {\n    let style = getComputedStyle(element);\n    return element.offsetHeight - element.clientHeight - parseFloat(style.borderTopWidth) - parseFloat(style.borderBottomWidth);\n  } else {\n    if (calculatedScrollbarHeight != null) return calculatedScrollbarHeight;\n    let scrollDiv = document.createElement(\"div\");\n    addStyle(scrollDiv, {\n      width: \"100px\",\n      height: \"100px\",\n      overflow: \"scroll\",\n      position: \"absolute\",\n      top: \"-9999px\"\n    });\n    document.body.appendChild(scrollDiv);\n    let scrollbarHeight = scrollDiv.offsetHeight - scrollDiv.clientHeight;\n    document.body.removeChild(scrollDiv);\n    calculatedScrollbarHeight = scrollbarHeight;\n    return scrollbarHeight;\n  }\n}\n\n// src/dom/methods/calculateScrollbarWidth.ts\nvar calculatedScrollbarWidth = void 0;\nfunction calculateScrollbarWidth(element) {\n  if (element) {\n    let style = getComputedStyle(element);\n    return element.offsetWidth - element.clientWidth - parseFloat(style.borderLeftWidth) - parseFloat(style.borderRightWidth);\n  } else {\n    if (calculatedScrollbarWidth != null) return calculatedScrollbarWidth;\n    let scrollDiv = document.createElement(\"div\");\n    addStyle(scrollDiv, {\n      width: \"100px\",\n      height: \"100px\",\n      overflow: \"scroll\",\n      position: \"absolute\",\n      top: \"-9999px\"\n    });\n    document.body.appendChild(scrollDiv);\n    let scrollbarWidth = scrollDiv.offsetWidth - scrollDiv.clientWidth;\n    document.body.removeChild(scrollDiv);\n    calculatedScrollbarWidth = scrollbarWidth;\n    return scrollbarWidth;\n  }\n}\n\n// src/dom/methods/clearSelection.ts\nfunction clearSelection() {\n  if (window.getSelection) {\n    const selection = window.getSelection() || {};\n    if (selection.empty) {\n      selection.empty();\n    } else if (selection.removeAllRanges && selection.rangeCount > 0 && selection.getRangeAt(0).getClientRects().length > 0) {\n      selection.removeAllRanges();\n    }\n  }\n}\n\n// src/dom/methods/setAttributes.ts\nfunction setAttributes(element, attributes = {}) {\n  if (isElement(element)) {\n    const computedStyles = (rule, value) => {\n      var _a, _b;\n      const styles = ((_a = element == null ? void 0 : element.$attrs) == null ? void 0 : _a[rule]) ? [(_b = element == null ? void 0 : element.$attrs) == null ? void 0 : _b[rule]] : [];\n      return [value].flat().reduce((cv, v) => {\n        if (v !== null && v !== void 0) {\n          const type = typeof v;\n          if (type === \"string\" || type === \"number\") {\n            cv.push(v);\n          } else if (type === \"object\") {\n            const _cv = Array.isArray(v) ? computedStyles(rule, v) : Object.entries(v).map(([_k, _v]) => rule === \"style\" && (!!_v || _v === 0) ? `${_k.replace(/([a-z])([A-Z])/g, \"$1-$2\").toLowerCase()}:${_v}` : !!_v ? _k : void 0);\n            cv = _cv.length ? cv.concat(_cv.filter((c) => !!c)) : cv;\n          }\n        }\n        return cv;\n      }, styles);\n    };\n    Object.entries(attributes).forEach(([key, value]) => {\n      if (value !== void 0 && value !== null) {\n        const matchedEvent = key.match(/^on(.+)/);\n        if (matchedEvent) {\n          element.addEventListener(matchedEvent[1].toLowerCase(), value);\n        } else if (key === \"p-bind\") {\n          setAttributes(element, value);\n        } else {\n          value = key === \"class\" ? [...new Set(computedStyles(\"class\", value))].join(\" \").trim() : key === \"style\" ? computedStyles(\"style\", value).join(\";\").trim() : value;\n          (element.$attrs = element.$attrs || {}) && (element.$attrs[key] = value);\n          element.setAttribute(key, value);\n        }\n      }\n    });\n  }\n}\n\n// src/dom/methods/createElement.ts\nfunction createElement(type, attributes = {}, ...children) {\n  if (type) {\n    const element = document.createElement(type);\n    setAttributes(element, attributes);\n    element.append(...children);\n    return element;\n  }\n  return void 0;\n}\n\n// src/dom/methods/createStyleAsString.ts\nfunction createStyleAsString(css, options = {}) {\n  return css ? `'<style type=\"text/css\" ${Object.entries(options).reduce((s, [k, v]) => s + `${k}=\"${v}\"`, \" \")}>${css}</style>'` : \"\";\n}\n\n// src/dom/methods/createStyleTag.ts\nfunction createStyleTag(attributes = {}, container) {\n  let element = document.createElement(\"style\");\n  setAttributes(element, attributes);\n  if (!container) {\n    container = document.head;\n  }\n  container.appendChild(element);\n  return element;\n}\n\n// src/dom/methods/fadeIn.ts\nfunction fadeIn(element, duration) {\n  if (element) {\n    element.style.opacity = \"0\";\n    let last = +/* @__PURE__ */ new Date();\n    let opacity = \"0\";\n    let tick = function() {\n      opacity = `${+element.style.opacity + ((/* @__PURE__ */ new Date()).getTime() - last) / duration}`;\n      element.style.opacity = opacity;\n      last = +/* @__PURE__ */ new Date();\n      if (+opacity < 1) {\n        !!window.requestAnimationFrame && requestAnimationFrame(tick) || setTimeout(tick, 16);\n      }\n    };\n    tick();\n  }\n}\n\n// src/dom/methods/fadeOut.ts\nfunction fadeOut(element, duration) {\n  if (element) {\n    let opacity = 1, interval = 50, gap = interval / duration;\n    let fading = setInterval(() => {\n      opacity -= gap;\n      if (opacity <= 0) {\n        opacity = 0;\n        clearInterval(fading);\n      }\n      element.style.opacity = opacity.toString();\n    }, interval);\n  }\n}\n\n// src/dom/methods/find.ts\nfunction find(element, selector) {\n  return isElement(element) ? Array.from(element.querySelectorAll(selector)) : [];\n}\n\n// src/dom/methods/findSingle.ts\nfunction findSingle(element, selector) {\n  return isElement(element) ? element.matches(selector) ? element : element.querySelector(selector) : null;\n}\n\n// src/dom/methods/focus.ts\nfunction focus(element, options) {\n  element && document.activeElement !== element && element.focus(options);\n}\n\n// src/dom/methods/getAttribute.ts\nfunction getAttribute(element, name) {\n  if (isElement(element)) {\n    const value = element.getAttribute(name);\n    if (!isNaN(value)) {\n      return +value;\n    }\n    if (value === \"true\" || value === \"false\") {\n      return value === \"true\";\n    }\n    return value;\n  }\n  return void 0;\n}\n\n// src/dom/methods/resolveUserAgent.ts\nfunction resolveUserAgent() {\n  let ua = navigator.userAgent.toLowerCase();\n  let match = /(chrome)[ ]([\\w.]+)/.exec(ua) || /(webkit)[ ]([\\w.]+)/.exec(ua) || /(opera)(?:.*version|)[ ]([\\w.]+)/.exec(ua) || /(msie) ([\\w.]+)/.exec(ua) || ua.indexOf(\"compatible\") < 0 && /(mozilla)(?:.*? rv:([\\w.]+)|)/.exec(ua) || [];\n  return {\n    browser: match[1] || \"\",\n    version: match[2] || \"0\"\n  };\n}\n\n// src/dom/methods/getBrowser.ts\nvar browser = null;\nfunction getBrowser() {\n  if (!browser) {\n    browser = {};\n    let matched = resolveUserAgent();\n    if (matched.browser) {\n      browser[matched.browser] = true;\n      browser[\"version\"] = matched.version;\n    }\n    if (browser[\"chrome\"]) {\n      browser[\"webkit\"] = true;\n    } else if (browser[\"webkit\"]) {\n      browser[\"safari\"] = true;\n    }\n  }\n  return browser;\n}\n\n// src/dom/methods/getCursorOffset.ts\nfunction getCursorOffset(element, prevText, nextText, currentText) {\n  if (element) {\n    let style = getComputedStyle(element);\n    let ghostDiv = document.createElement(\"div\");\n    ghostDiv.style.position = \"absolute\";\n    ghostDiv.style.top = \"0px\";\n    ghostDiv.style.left = \"0px\";\n    ghostDiv.style.visibility = \"hidden\";\n    ghostDiv.style.pointerEvents = \"none\";\n    ghostDiv.style.overflow = style.overflow;\n    ghostDiv.style.width = style.width;\n    ghostDiv.style.height = style.height;\n    ghostDiv.style.padding = style.padding;\n    ghostDiv.style.border = style.border;\n    ghostDiv.style.overflowWrap = style.overflowWrap;\n    ghostDiv.style.whiteSpace = style.whiteSpace;\n    ghostDiv.style.lineHeight = style.lineHeight;\n    ghostDiv.innerHTML = prevText.replace(/\\r\\n|\\r|\\n/g, \"<br />\");\n    let ghostSpan = document.createElement(\"span\");\n    ghostSpan.textContent = currentText;\n    ghostDiv.appendChild(ghostSpan);\n    let text = document.createTextNode(nextText);\n    ghostDiv.appendChild(text);\n    document.body.appendChild(ghostDiv);\n    const { offsetLeft, offsetTop, clientHeight } = ghostSpan;\n    document.body.removeChild(ghostDiv);\n    return {\n      left: Math.abs(offsetLeft - element.scrollLeft),\n      top: Math.abs(offsetTop - element.scrollTop) + clientHeight\n    };\n  }\n  return {\n    top: \"auto\",\n    left: \"auto\"\n  };\n}\n\n// src/dom/methods/getFocusableElements.ts\nfunction getFocusableElements(element, selector = \"\") {\n  let focusableElements = find(\n    element,\n    `button:not([tabindex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            [href][clientHeight][clientWidth]:not([tabindex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            input:not([tabindex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            select:not([tabindex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            textarea:not([tabindex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            [tabIndex]:not([tabIndex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            [contenteditable]:not([tabIndex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector}`\n  );\n  let visibleFocusableElements = [];\n  for (let focusableElement of focusableElements) {\n    if (getComputedStyle(focusableElement).display != \"none\" && getComputedStyle(focusableElement).visibility != \"hidden\") visibleFocusableElements.push(focusableElement);\n  }\n  return visibleFocusableElements;\n}\n\n// src/dom/methods/getFirstFocusableElement.ts\nfunction getFirstFocusableElement(element, selector) {\n  const focusableElements = getFocusableElements(element, selector);\n  return focusableElements.length > 0 ? focusableElements[0] : null;\n}\n\n// src/dom/methods/getHeight.ts\nfunction getHeight(element) {\n  if (element) {\n    let height = element.offsetHeight;\n    let style = getComputedStyle(element);\n    height -= parseFloat(style.paddingTop) + parseFloat(style.paddingBottom) + parseFloat(style.borderTopWidth) + parseFloat(style.borderBottomWidth);\n    return height;\n  }\n  return 0;\n}\n\n// src/dom/methods/getHiddenElementOuterHeight.ts\nfunction getHiddenElementOuterHeight(element) {\n  if (element) {\n    element.style.visibility = \"hidden\";\n    element.style.display = \"block\";\n    let elementHeight = element.offsetHeight;\n    element.style.display = \"none\";\n    element.style.visibility = \"visible\";\n    return elementHeight;\n  }\n  return 0;\n}\n\n// src/dom/methods/getHiddenElementOuterWidth.ts\nfunction getHiddenElementOuterWidth(element) {\n  if (element) {\n    element.style.visibility = \"hidden\";\n    element.style.display = \"block\";\n    let elementWidth = element.offsetWidth;\n    element.style.display = \"none\";\n    element.style.visibility = \"visible\";\n    return elementWidth;\n  }\n  return 0;\n}\n\n// src/dom/methods/getParentNode.ts\nfunction getParentNode(element) {\n  if (element) {\n    let parent = element.parentNode;\n    if (parent && parent instanceof ShadowRoot && parent.host) {\n      parent = parent.host;\n    }\n    return parent;\n  }\n  return null;\n}\n\n// src/dom/methods/getIndex.ts\nfunction getIndex(element) {\n  var _a;\n  if (element) {\n    let children = (_a = getParentNode(element)) == null ? void 0 : _a.childNodes;\n    let num = 0;\n    if (children) {\n      for (let i = 0; i < children.length; i++) {\n        if (children[i] === element) return num;\n        if (children[i].nodeType === 1) num++;\n      }\n    }\n  }\n  return -1;\n}\n\n// src/dom/methods/getInnerWidth.ts\nfunction getInnerWidth(element) {\n  if (element) {\n    let width = element.offsetWidth;\n    let style = getComputedStyle(element);\n    width -= parseFloat(style.borderLeft) + parseFloat(style.borderRight);\n    return width;\n  }\n  return 0;\n}\n\n// src/dom/methods/getLastFocusableElement.ts\nfunction getLastFocusableElement(element, selector) {\n  const focusableElements = getFocusableElements(element, selector);\n  return focusableElements.length > 0 ? focusableElements[focusableElements.length - 1] : null;\n}\n\n// src/dom/methods/getNextElementSibling.ts\nfunction getNextElementSibling(element, selector) {\n  let nextElement = element.nextElementSibling;\n  while (nextElement) {\n    if (nextElement.matches(selector)) {\n      return nextElement;\n    } else {\n      nextElement = nextElement.nextElementSibling;\n    }\n  }\n  return null;\n}\n\n// src/dom/methods/getNextFocusableElement.ts\nfunction getNextFocusableElement(container, element, selector) {\n  const focusableElements = getFocusableElements(container, selector);\n  const index = focusableElements.length > 0 ? focusableElements.findIndex((el) => el === element) : -1;\n  const nextIndex = index > -1 && focusableElements.length >= index + 1 ? index + 1 : -1;\n  return nextIndex > -1 ? focusableElements[nextIndex] : null;\n}\n\n// src/dom/methods/getOffset.ts\nfunction getOffset(element) {\n  if (element) {\n    let rect = element.getBoundingClientRect();\n    return {\n      top: rect.top + (window.pageYOffset || document.documentElement.scrollTop || document.body.scrollTop || 0),\n      left: rect.left + (window.pageXOffset || document.documentElement.scrollLeft || document.body.scrollLeft || 0)\n    };\n  }\n  return {\n    top: \"auto\",\n    left: \"auto\"\n  };\n}\n\n// src/dom/methods/getOuterHeight.ts\nfunction getOuterHeight(element, margin) {\n  if (element) {\n    let height = element.offsetHeight;\n    if (margin) {\n      let style = getComputedStyle(element);\n      height += parseFloat(style.marginTop) + parseFloat(style.marginBottom);\n    }\n    return height;\n  }\n  return 0;\n}\n\n// src/dom/methods/getParents.ts\nfunction getParents(element, parents = []) {\n  const parent = getParentNode(element);\n  return parent === null ? parents : getParents(parent, parents.concat([parent]));\n}\n\n// src/dom/methods/getPreviousElementSibling.ts\nfunction getPreviousElementSibling(element, selector) {\n  let previousElement = element.previousElementSibling;\n  while (previousElement) {\n    if (previousElement.matches(selector)) {\n      return previousElement;\n    } else {\n      previousElement = previousElement.previousElementSibling;\n    }\n  }\n  return null;\n}\n\n// src/dom/methods/getScrollableParents.ts\nfunction getScrollableParents(element) {\n  let scrollableParents = [];\n  if (element) {\n    let parents = getParents(element);\n    const overflowRegex = /(auto|scroll)/;\n    const overflowCheck = (node) => {\n      try {\n        let styleDeclaration = window[\"getComputedStyle\"](node, null);\n        return overflowRegex.test(styleDeclaration.getPropertyValue(\"overflow\")) || overflowRegex.test(styleDeclaration.getPropertyValue(\"overflowX\")) || overflowRegex.test(styleDeclaration.getPropertyValue(\"overflowY\"));\n      } catch (err) {\n        return false;\n      }\n    };\n    for (let parent of parents) {\n      let scrollSelectors = parent.nodeType === 1 && parent.dataset[\"scrollselectors\"];\n      if (scrollSelectors) {\n        let selectors = scrollSelectors.split(\",\");\n        for (let selector of selectors) {\n          let el = findSingle(parent, selector);\n          if (el && overflowCheck(el)) {\n            scrollableParents.push(el);\n          }\n        }\n      }\n      if (parent.nodeType !== 9 && overflowCheck(parent)) {\n        scrollableParents.push(parent);\n      }\n    }\n  }\n  return scrollableParents;\n}\n\n// src/dom/methods/getSelection.ts\nfunction getSelection() {\n  if (window.getSelection) return window.getSelection().toString();\n  else if (document.getSelection) return document.getSelection().toString();\n  return void 0;\n}\n\n// src/dom/methods/isExist.ts\nfunction isExist(element) {\n  return !!(element !== null && typeof element !== \"undefined\" && element.nodeName && getParentNode(element));\n}\n\n// src/dom/methods/getTargetElement.ts\nfunction getTargetElement(target, currentElement) {\n  var _a;\n  if (!target) return void 0;\n  switch (target) {\n    case \"document\":\n      return document;\n    case \"window\":\n      return window;\n    case \"@next\":\n      return currentElement == null ? void 0 : currentElement.nextElementSibling;\n    case \"@prev\":\n      return currentElement == null ? void 0 : currentElement.previousElementSibling;\n    case \"@parent\":\n      return currentElement == null ? void 0 : currentElement.parentElement;\n    case \"@grandparent\":\n      return (_a = currentElement == null ? void 0 : currentElement.parentElement) == null ? void 0 : _a.parentElement;\n    default:\n      if (typeof target === \"string\") {\n        return document.querySelector(target);\n      }\n      const isFunction = (obj) => !!(obj && obj.constructor && obj.call && obj.apply);\n      const element = toElement(isFunction(target) ? target() : target);\n      return (element == null ? void 0 : element.nodeType) === 9 || isExist(element) ? element : void 0;\n  }\n}\n\n// src/dom/methods/getUserAgent.ts\nfunction getUserAgent() {\n  return navigator.userAgent;\n}\n\n// src/dom/methods/getWidth.ts\nfunction getWidth(element) {\n  if (element) {\n    let width = element.offsetWidth;\n    let style = getComputedStyle(element);\n    width -= parseFloat(style.paddingLeft) + parseFloat(style.paddingRight) + parseFloat(style.borderLeftWidth) + parseFloat(style.borderRightWidth);\n    return width;\n  }\n  return 0;\n}\n\n// src/dom/methods/hasCSSAnimation.ts\nfunction hasCSSAnimation(element) {\n  if (element) {\n    const style = getComputedStyle(element);\n    const animationDuration = parseFloat(style.getPropertyValue(\"animation-duration\") || \"0\");\n    return animationDuration > 0;\n  }\n  return false;\n}\n\n// src/dom/methods/hasCSSTransition.ts\nfunction hasCSSTransition(element) {\n  if (element) {\n    const style = getComputedStyle(element);\n    const transitionDuration = parseFloat(style.getPropertyValue(\"transition-duration\") || \"0\");\n    return transitionDuration > 0;\n  }\n  return false;\n}\n\n// src/dom/methods/invokeElementMethod.ts\nfunction invokeElementMethod(element, methodName, args) {\n  element[methodName].apply(element, args);\n}\n\n// src/dom/methods/isAndroid.ts\nfunction isAndroid() {\n  return /(android)/i.test(navigator.userAgent);\n}\n\n// src/dom/methods/isAttributeEquals.ts\nfunction isAttributeEquals(element, name, value) {\n  return isElement(element) ? getAttribute(element, name) === value : false;\n}\n\n// src/dom/methods/isAttributeNotEquals.ts\nfunction isAttributeNotEquals(element, name, value) {\n  return !isAttributeEquals(element, name, value);\n}\n\n// src/dom/methods/isClickable.ts\nfunction isClickable(element) {\n  if (element) {\n    const targetNode = element.nodeName;\n    const parentNode = element.parentElement && element.parentElement.nodeName;\n    return targetNode === \"INPUT\" || targetNode === \"TEXTAREA\" || targetNode === \"BUTTON\" || targetNode === \"A\" || parentNode === \"INPUT\" || parentNode === \"TEXTAREA\" || parentNode === \"BUTTON\" || parentNode === \"A\" || !!element.closest(\".p-button, .p-checkbox, .p-radiobutton\");\n  }\n  return false;\n}\n\n// src/dom/methods/isClient.ts\nfunction isClient() {\n  return !!(typeof window !== \"undefined\" && window.document && window.document.createElement);\n}\n\n// src/dom/methods/isFocusableElement.ts\nfunction isFocusableElement(element, selector = \"\") {\n  return isElement(element) ? element.matches(`button:not([tabindex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            [href][clientHeight][clientWidth]:not([tabindex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            input:not([tabindex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            select:not([tabindex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            textarea:not([tabindex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            [tabIndex]:not([tabIndex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector},\n            [contenteditable]:not([tabIndex = \"-1\"]):not([disabled]):not([style*=\"display:none\"]):not([hidden])${selector}`) : false;\n}\n\n// src/dom/methods/isVisible.ts\nfunction isVisible(element) {\n  return !!(element && element.offsetParent != null);\n}\n\n// src/dom/methods/isHidden.ts\nfunction isHidden(element) {\n  return !isVisible(element);\n}\n\n// src/dom/methods/isIOS.ts\nfunction isIOS() {\n  return /iPad|iPhone|iPod/.test(navigator.userAgent) && !window[\"MSStream\"];\n}\n\n// src/dom/methods/isTouchDevice.ts\nfunction isTouchDevice() {\n  return \"ontouchstart\" in window || navigator.maxTouchPoints > 0 || navigator.msMaxTouchPoints > 0;\n}\n\n// src/dom/methods/nestedPosition.ts\nfunction nestedPosition(element, level) {\n  var _a;\n  if (element) {\n    const parentItem = element.parentElement;\n    const elementOffset = getOffset(parentItem);\n    const viewport = getViewport();\n    const sublistWidth = element.offsetParent ? element.offsetWidth : getHiddenElementOuterWidth(element);\n    const itemOuterWidth = getOuterWidth((_a = parentItem == null ? void 0 : parentItem.children) == null ? void 0 : _a[0]);\n    let left = \"\";\n    if (elementOffset.left + itemOuterWidth + sublistWidth > viewport.width - calculateScrollbarWidth()) {\n      if (elementOffset.left < sublistWidth) {\n        if (level % 2 === 1) {\n          left = elementOffset.left ? \"-\" + elementOffset.left + \"px\" : \"100%\";\n        } else if (level % 2 === 0) {\n          left = viewport.width - sublistWidth - calculateScrollbarWidth() + \"px\";\n        }\n      } else {\n        left = \"-100%\";\n      }\n    } else {\n      left = \"100%\";\n    }\n    element.style.top = \"0px\";\n    element.style.left = left;\n  }\n}\n\n// src/dom/methods/remove.ts\nfunction remove(element) {\n  var _a;\n  if (element) {\n    if (!(\"remove\" in Element.prototype)) (_a = element.parentNode) == null ? void 0 : _a.removeChild(element);\n    else element.remove();\n  }\n}\n\n// src/dom/methods/removeChild.ts\nfunction removeChild(element, child) {\n  const target = toElement(element);\n  if (target) target.removeChild(child);\n  else throw new Error(\"Cannot remove \" + child + \" from \" + element);\n}\n\n// src/dom/methods/removeStyleTag.ts\nfunction removeStyleTag(element) {\n  var _a;\n  if (isExist(element)) {\n    try {\n      (_a = element.parentNode) == null ? void 0 : _a.removeChild(element);\n    } catch (error) {\n    }\n    return null;\n  }\n  return element;\n}\n\n// src/dom/methods/scrollInView.ts\nfunction scrollInView(container, item) {\n  let borderTopValue = getComputedStyle(container).getPropertyValue(\"borderTopWidth\");\n  let borderTop = borderTopValue ? parseFloat(borderTopValue) : 0;\n  let paddingTopValue = getComputedStyle(container).getPropertyValue(\"paddingTop\");\n  let paddingTop = paddingTopValue ? parseFloat(paddingTopValue) : 0;\n  let containerRect = container.getBoundingClientRect();\n  let itemRect = item.getBoundingClientRect();\n  let offset = itemRect.top + document.body.scrollTop - (containerRect.top + document.body.scrollTop) - borderTop - paddingTop;\n  let scroll = container.scrollTop;\n  let elementHeight = container.clientHeight;\n  let itemHeight = getOuterHeight(item);\n  if (offset < 0) {\n    container.scrollTop = scroll + offset;\n  } else if (offset + itemHeight > elementHeight) {\n    container.scrollTop = scroll + offset - elementHeight + itemHeight;\n  }\n}\n\n// src/dom/methods/setAttribute.ts\nfunction setAttribute(element, attribute = \"\", value) {\n  if (isElement(element) && value !== null && value !== void 0) {\n    element.setAttribute(attribute, value);\n  }\n}\nexport {\n  absolutePosition,\n  addClass,\n  addStyle,\n  alignOverlay,\n  appendChild,\n  blockBodyScroll,\n  calculateBodyScrollbarWidth,\n  calculateScrollbarHeight,\n  calculateScrollbarWidth,\n  clearSelection,\n  createElement,\n  createStyleAsString,\n  createStyleTag,\n  exportCSV,\n  fadeIn,\n  fadeOut,\n  find,\n  findSingle,\n  focus,\n  getAttribute,\n  getBrowser,\n  getCSSVariableByRegex,\n  getCursorOffset,\n  getFirstFocusableElement,\n  getFocusableElements,\n  getHeight,\n  getHiddenElementDimensions,\n  getHiddenElementOuterHeight,\n  getHiddenElementOuterWidth,\n  getIndex,\n  getInnerWidth,\n  getLastFocusableElement,\n  getNextElementSibling,\n  getNextFocusableElement,\n  getOffset,\n  getOuterHeight,\n  getOuterWidth,\n  getParentNode,\n  getParents,\n  getPreviousElementSibling,\n  getScrollableParents,\n  getSelection,\n  getTargetElement,\n  getUserAgent,\n  getViewport,\n  getWidth,\n  getWindowScrollLeft,\n  getWindowScrollTop,\n  hasCSSAnimation,\n  hasCSSTransition,\n  hasClass,\n  invokeElementMethod,\n  isAndroid,\n  isAttributeEquals,\n  isAttributeNotEquals,\n  isClickable,\n  isClient,\n  isElement,\n  isExist,\n  isFocusableElement,\n  isHidden,\n  isIOS,\n  isTouchDevice,\n  isVisible,\n  nestedPosition,\n  relativePosition,\n  remove,\n  removeChild,\n  removeClass,\n  removeStyleTag,\n  resolveUserAgent,\n  saveAs,\n  scrollInView,\n  setAttribute,\n  setAttributes,\n  toElement,\n  unblockBodyScroll\n};\n//# sourceMappingURL=index.mjs.map","import { isClient, setAttributes, setAttribute, isExist } from '@primeuix/utils/dom';\nimport { ref, readonly, getCurrentInstance, onMounted, nextTick, watch } from 'vue';\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nfunction tryOnMounted(fn) {\n  var sync = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true;\n  if (getCurrentInstance()) onMounted(fn);else if (sync) fn();else nextTick(fn);\n}\nvar _id = 0;\nfunction useStyle(css) {\n  var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n  var isLoaded = ref(false);\n  var cssRef = ref(css);\n  var styleRef = ref(null);\n  var defaultDocument = isClient() ? window.document : undefined;\n  var _options$document = options.document,\n    document = _options$document === void 0 ? defaultDocument : _options$document,\n    _options$immediate = options.immediate,\n    immediate = _options$immediate === void 0 ? true : _options$immediate,\n    _options$manual = options.manual,\n    manual = _options$manual === void 0 ? false : _options$manual,\n    _options$name = options.name,\n    name = _options$name === void 0 ? \"style_\".concat(++_id) : _options$name,\n    _options$id = options.id,\n    id = _options$id === void 0 ? undefined : _options$id,\n    _options$media = options.media,\n    media = _options$media === void 0 ? undefined : _options$media,\n    _options$nonce = options.nonce,\n    nonce = _options$nonce === void 0 ? undefined : _options$nonce,\n    _options$first = options.first,\n    first = _options$first === void 0 ? false : _options$first,\n    _options$onMounted = options.onMounted,\n    onStyleMounted = _options$onMounted === void 0 ? undefined : _options$onMounted,\n    _options$onUpdated = options.onUpdated,\n    onStyleUpdated = _options$onUpdated === void 0 ? undefined : _options$onUpdated,\n    _options$onLoad = options.onLoad,\n    onStyleLoaded = _options$onLoad === void 0 ? undefined : _options$onLoad,\n    _options$props = options.props,\n    props = _options$props === void 0 ? {} : _options$props;\n  var stop = function stop() {};\n\n  /* @todo: Improve _options params */\n  var load = function load(_css) {\n    var _props = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    if (!document) return;\n    var _styleProps = _objectSpread(_objectSpread({}, props), _props);\n    var _name = _styleProps.name || name,\n      _id = _styleProps.id || id,\n      _nonce = _styleProps.nonce || nonce;\n    styleRef.value = document.querySelector(\"style[data-primevue-style-id=\\\"\".concat(_name, \"\\\"]\")) || document.getElementById(_id) || document.createElement('style');\n    if (!styleRef.value.isConnected) {\n      cssRef.value = _css || css;\n      setAttributes(styleRef.value, {\n        type: 'text/css',\n        id: _id,\n        media: media,\n        nonce: _nonce\n      });\n      first ? document.head.prepend(styleRef.value) : document.head.appendChild(styleRef.value);\n      setAttribute(styleRef.value, 'data-primevue-style-id', _name);\n      setAttributes(styleRef.value, _styleProps);\n      styleRef.value.onload = function (event) {\n        return onStyleLoaded === null || onStyleLoaded === void 0 ? void 0 : onStyleLoaded(event, {\n          name: _name\n        });\n      };\n      onStyleMounted === null || onStyleMounted === void 0 || onStyleMounted(_name);\n    }\n    if (isLoaded.value) return;\n    stop = watch(cssRef, function (value) {\n      styleRef.value.textContent = value;\n      onStyleUpdated === null || onStyleUpdated === void 0 || onStyleUpdated(_name);\n    }, {\n      immediate: true\n    });\n    isLoaded.value = true;\n  };\n  var unload = function unload() {\n    if (!document || !isLoaded.value) return;\n    stop();\n    isExist(styleRef.value) && document.head.removeChild(styleRef.value);\n    isLoaded.value = false;\n  };\n  if (immediate && !manual) tryOnMounted(load);\n\n  /*if (!manual)\n    tryOnScopeDispose(unload)*/\n\n  return {\n    id: id,\n    name: name,\n    el: styleRef,\n    css: cssRef,\n    unload: unload,\n    load: load,\n    isLoaded: readonly(isLoaded)\n  };\n}\n\nexport { useStyle };\n//# sourceMappingURL=index.mjs.map\n","import { dt, Theme } from '@primeuix/styled';\nimport { resolve, minifyCSS } from '@primeuix/utils/object';\nimport { useStyle } from '@primevue/core/usestyle';\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction _slicedToArray(r, e) { return _arrayWithHoles(r) || _iterableToArrayLimit(r, e) || _unsupportedIterableToArray(r, e) || _nonIterableRest(); }\nfunction _nonIterableRest() { throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction _iterableToArrayLimit(r, l) { var t = null == r ? null : \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"]; if (null != t) { var e, n, i, u, a = [], f = !0, o = !1; try { if (i = (t = t.call(r)).next, 0 === l) ; else for (; !(f = (e = i.call(t)).done) && (a.push(e.value), a.length !== l); f = !0); } catch (r) { o = !0, n = r; } finally { try { if (!f && null != t[\"return\"] && (u = t[\"return\"](), Object(u) !== u)) return; } finally { if (o) throw n; } } return a; } }\nfunction _arrayWithHoles(r) { if (Array.isArray(r)) return r; }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n* {\\n    box-sizing: border-box;\\n}\\n\\n/* Non vue overlay animations */\\n.p-connected-overlay {\\n    opacity: 0;\\n    transform: scaleY(0.8);\\n    transition: transform 0.12s cubic-bezier(0, 0, 0.2, 1),\\n        opacity 0.12s cubic-bezier(0, 0, 0.2, 1);\\n}\\n\\n.p-connected-overlay-visible {\\n    opacity: 1;\\n    transform: scaleY(1);\\n}\\n\\n.p-connected-overlay-hidden {\\n    opacity: 0;\\n    transform: scaleY(1);\\n    transition: opacity 0.1s linear;\\n}\\n\\n/* Vue based overlay animations */\\n.p-connected-overlay-enter-from {\\n    opacity: 0;\\n    transform: scaleY(0.8);\\n}\\n\\n.p-connected-overlay-leave-to {\\n    opacity: 0;\\n}\\n\\n.p-connected-overlay-enter-active {\\n    transition: transform 0.12s cubic-bezier(0, 0, 0.2, 1),\\n        opacity 0.12s cubic-bezier(0, 0, 0.2, 1);\\n}\\n\\n.p-connected-overlay-leave-active {\\n    transition: opacity 0.1s linear;\\n}\\n\\n/* Toggleable Content */\\n.p-toggleable-content-enter-from,\\n.p-toggleable-content-leave-to {\\n    max-height: 0;\\n}\\n\\n.p-toggleable-content-enter-to,\\n.p-toggleable-content-leave-from {\\n    max-height: 1000px;\\n}\\n\\n.p-toggleable-content-leave-active {\\n    overflow: hidden;\\n    transition: max-height 0.45s cubic-bezier(0, 1, 0, 1);\\n}\\n\\n.p-toggleable-content-enter-active {\\n    overflow: hidden;\\n    transition: max-height 1s ease-in-out;\\n}\\n\\n.p-disabled,\\n.p-disabled * {\\n    cursor: default;\\n    pointer-events: none;\\n    user-select: none;\\n}\\n\\n.p-disabled,\\n.p-component:disabled {\\n    opacity: \".concat(dt('disabled.opacity'), \";\\n}\\n\\n.pi {\\n    font-size: \").concat(dt('icon.size'), \";\\n}\\n\\n.p-icon {\\n    width: \").concat(dt('icon.size'), \";\\n    height: \").concat(dt('icon.size'), \";\\n}\\n\\n.p-overlay-mask {\\n    background: \").concat(dt('mask.background'), \";\\n    color: \").concat(dt('mask.color'), \";\\n    position: fixed;\\n    top: 0;\\n    left: 0;\\n    width: 100%;\\n    height: 100%;\\n}\\n\\n.p-overlay-mask-enter {\\n    animation: p-overlay-mask-enter-animation \").concat(dt('mask.transition.duration'), \" forwards;\\n}\\n\\n.p-overlay-mask-leave {\\n    animation: p-overlay-mask-leave-animation \").concat(dt('mask.transition.duration'), \" forwards;\\n}\\n\\n@keyframes p-overlay-mask-enter-animation {\\n    from {\\n        background: transparent;\\n    }\\n    to {\\n        background: \").concat(dt('mask.background'), \";\\n    }\\n}\\n@keyframes p-overlay-mask-leave-animation {\\n    from {\\n        background: \").concat(dt('mask.background'), \";\\n    }\\n    to {\\n        background: transparent;\\n    }\\n}\\n\");\n};\nvar css = function css(_ref2) {\n  var dt = _ref2.dt;\n  return \"\\n.p-hidden-accessible {\\n    border: 0;\\n    clip: rect(0 0 0 0);\\n    height: 1px;\\n    margin: -1px;\\n    overflow: hidden;\\n    padding: 0;\\n    position: absolute;\\n    width: 1px;\\n}\\n\\n.p-hidden-accessible input,\\n.p-hidden-accessible select {\\n    transform: scale(0);\\n}\\n\\n.p-overflow-hidden {\\n    overflow: hidden;\\n    padding-right: \".concat(dt('scrollbar.width'), \";\\n}\\n\");\n};\nvar classes = {};\nvar inlineStyles = {};\nvar BaseStyle = {\n  name: 'base',\n  css: css,\n  theme: theme,\n  classes: classes,\n  inlineStyles: inlineStyles,\n  load: function load(style) {\n    var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    var transform = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : function (cs) {\n      return cs;\n    };\n    var computedStyle = transform(resolve(style, {\n      dt: dt\n    }));\n    return computedStyle ? useStyle(minifyCSS(computedStyle), _objectSpread({\n      name: this.name\n    }, options)) : {};\n  },\n  loadCSS: function loadCSS() {\n    var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    return this.load(this.css, options);\n  },\n  loadTheme: function loadTheme() {\n    var _this = this;\n    var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    return this.load(this.theme, options, function (computedStyle) {\n      return Theme.transformCSS(options.name || _this.name, computedStyle);\n    });\n  },\n  getCommonTheme: function getCommonTheme(params) {\n    return Theme.getCommon(this.name, params);\n  },\n  getComponentTheme: function getComponentTheme(params) {\n    return Theme.getComponent(this.name, params);\n  },\n  getDirectiveTheme: function getDirectiveTheme(params) {\n    return Theme.getDirective(this.name, params);\n  },\n  getPresetTheme: function getPresetTheme(preset, selector, params) {\n    return Theme.getCustomPreset(this.name, preset, selector, params);\n  },\n  getLayerOrderThemeCSS: function getLayerOrderThemeCSS() {\n    return Theme.getLayerOrderCSS(this.name);\n  },\n  getStyleSheet: function getStyleSheet() {\n    var extendedCSS = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n    var props = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    if (this.css) {\n      var _css = resolve(this.css, {\n        dt: dt\n      });\n      var _style = minifyCSS(\"\".concat(_css).concat(extendedCSS));\n      var _props = Object.entries(props).reduce(function (acc, _ref3) {\n        var _ref4 = _slicedToArray(_ref3, 2),\n          k = _ref4[0],\n          v = _ref4[1];\n        return acc.push(\"\".concat(k, \"=\\\"\").concat(v, \"\\\"\")) && acc;\n      }, []).join(' ');\n      return \"<style type=\\\"text/css\\\" data-primevue-style-id=\\\"\".concat(this.name, \"\\\" \").concat(_props, \">\").concat(_style, \"</style>\");\n    }\n    return '';\n  },\n  getCommonThemeStyleSheet: function getCommonThemeStyleSheet(params) {\n    var props = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    return Theme.getCommonStyleSheet(this.name, params, props);\n  },\n  getThemeStyleSheet: function getThemeStyleSheet(params) {\n    var props = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    var css = [Theme.getStyleSheet(this.name, params, props)];\n    if (this.theme) {\n      var name = this.name === 'base' ? 'global-style' : \"\".concat(this.name, \"-style\");\n      var _css = resolve(this.theme, {\n        dt: dt\n      });\n      var _style = minifyCSS(Theme.transformCSS(name, _css));\n      var _props = Object.entries(props).reduce(function (acc, _ref5) {\n        var _ref6 = _slicedToArray(_ref5, 2),\n          k = _ref6[0],\n          v = _ref6[1];\n        return acc.push(\"\".concat(k, \"=\\\"\").concat(v, \"\\\"\")) && acc;\n      }, []).join(' ');\n      css.push(\"<style type=\\\"text/css\\\" data-primevue-style-id=\\\"\".concat(name, \"\\\" \").concat(_props, \">\").concat(_style, \"</style>\"));\n    }\n    return css.join('');\n  },\n  extend: function extend(style) {\n    return _objectSpread(_objectSpread({}, this), {}, {\n      css: undefined,\n      theme: undefined\n    }, style);\n  }\n};\n\nexport { BaseStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { EventBus } from '@primeuix/utils/eventbus';\n\nvar PrimeVueService = EventBus();\n\nexport { PrimeVueService as default };\n//# sourceMappingURL=index.mjs.map\n","import { ThemeService, Theme } from '@primeuix/styled';\nimport { FilterMatchMode } from '@primevue/core/api';\nimport BaseStyle from '@primevue/core/base/style';\nimport PrimeVueService from '@primevue/core/service';\nimport { inject, reactive, ref, watch } from 'vue';\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar defaultOptions = {\n  ripple: false,\n  inputStyle: null,\n  inputVariant: null,\n  locale: {\n    startsWith: 'Starts with',\n    contains: 'Contains',\n    notContains: 'Not contains',\n    endsWith: 'Ends with',\n    equals: 'Equals',\n    notEquals: 'Not equals',\n    noFilter: 'No Filter',\n    lt: 'Less than',\n    lte: 'Less than or equal to',\n    gt: 'Greater than',\n    gte: 'Greater than or equal to',\n    dateIs: 'Date is',\n    dateIsNot: 'Date is not',\n    dateBefore: 'Date is before',\n    dateAfter: 'Date is after',\n    clear: 'Clear',\n    apply: 'Apply',\n    matchAll: 'Match All',\n    matchAny: 'Match Any',\n    addRule: 'Add Rule',\n    removeRule: 'Remove Rule',\n    accept: 'Yes',\n    reject: 'No',\n    choose: 'Choose',\n    upload: 'Upload',\n    cancel: 'Cancel',\n    completed: 'Completed',\n    pending: 'Pending',\n    fileSizeTypes: ['B', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB'],\n    dayNames: ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'],\n    dayNamesShort: ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],\n    dayNamesMin: ['Su', 'Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa'],\n    monthNames: ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'],\n    monthNamesShort: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],\n    chooseYear: 'Choose Year',\n    chooseMonth: 'Choose Month',\n    chooseDate: 'Choose Date',\n    prevDecade: 'Previous Decade',\n    nextDecade: 'Next Decade',\n    prevYear: 'Previous Year',\n    nextYear: 'Next Year',\n    prevMonth: 'Previous Month',\n    nextMonth: 'Next Month',\n    prevHour: 'Previous Hour',\n    nextHour: 'Next Hour',\n    prevMinute: 'Previous Minute',\n    nextMinute: 'Next Minute',\n    prevSecond: 'Previous Second',\n    nextSecond: 'Next Second',\n    am: 'am',\n    pm: 'pm',\n    today: 'Today',\n    weekHeader: 'Wk',\n    firstDayOfWeek: 0,\n    showMonthAfterYear: false,\n    dateFormat: 'mm/dd/yy',\n    weak: 'Weak',\n    medium: 'Medium',\n    strong: 'Strong',\n    passwordPrompt: 'Enter a password',\n    emptyFilterMessage: 'No results found',\n    searchMessage: '{0} results are available',\n    selectionMessage: '{0} items selected',\n    emptySelectionMessage: 'No selected item',\n    emptySearchMessage: 'No results found',\n    fileChosenMessage: '{0} files',\n    noFileChosenMessage: 'No file chosen',\n    emptyMessage: 'No available options',\n    aria: {\n      trueLabel: 'True',\n      falseLabel: 'False',\n      nullLabel: 'Not Selected',\n      star: '1 star',\n      stars: '{star} stars',\n      selectAll: 'All items selected',\n      unselectAll: 'All items unselected',\n      close: 'Close',\n      previous: 'Previous',\n      next: 'Next',\n      navigation: 'Navigation',\n      scrollTop: 'Scroll Top',\n      moveTop: 'Move Top',\n      moveUp: 'Move Up',\n      moveDown: 'Move Down',\n      moveBottom: 'Move Bottom',\n      moveToTarget: 'Move to Target',\n      moveToSource: 'Move to Source',\n      moveAllToTarget: 'Move All to Target',\n      moveAllToSource: 'Move All to Source',\n      pageLabel: 'Page {page}',\n      firstPageLabel: 'First Page',\n      lastPageLabel: 'Last Page',\n      nextPageLabel: 'Next Page',\n      prevPageLabel: 'Previous Page',\n      rowsPerPageLabel: 'Rows per page',\n      jumpToPageDropdownLabel: 'Jump to Page Dropdown',\n      jumpToPageInputLabel: 'Jump to Page Input',\n      selectRow: 'Row Selected',\n      unselectRow: 'Row Unselected',\n      expandRow: 'Row Expanded',\n      collapseRow: 'Row Collapsed',\n      showFilterMenu: 'Show Filter Menu',\n      hideFilterMenu: 'Hide Filter Menu',\n      filterOperator: 'Filter Operator',\n      filterConstraint: 'Filter Constraint',\n      editRow: 'Row Edit',\n      saveEdit: 'Save Edit',\n      cancelEdit: 'Cancel Edit',\n      listView: 'List View',\n      gridView: 'Grid View',\n      slide: 'Slide',\n      slideNumber: '{slideNumber}',\n      zoomImage: 'Zoom Image',\n      zoomIn: 'Zoom In',\n      zoomOut: 'Zoom Out',\n      rotateRight: 'Rotate Right',\n      rotateLeft: 'Rotate Left',\n      listLabel: 'Option List'\n    }\n  },\n  filterMatchModeOptions: {\n    text: [FilterMatchMode.STARTS_WITH, FilterMatchMode.CONTAINS, FilterMatchMode.NOT_CONTAINS, FilterMatchMode.ENDS_WITH, FilterMatchMode.EQUALS, FilterMatchMode.NOT_EQUALS],\n    numeric: [FilterMatchMode.EQUALS, FilterMatchMode.NOT_EQUALS, FilterMatchMode.LESS_THAN, FilterMatchMode.LESS_THAN_OR_EQUAL_TO, FilterMatchMode.GREATER_THAN, FilterMatchMode.GREATER_THAN_OR_EQUAL_TO],\n    date: [FilterMatchMode.DATE_IS, FilterMatchMode.DATE_IS_NOT, FilterMatchMode.DATE_BEFORE, FilterMatchMode.DATE_AFTER]\n  },\n  zIndex: {\n    modal: 1100,\n    overlay: 1000,\n    menu: 1000,\n    tooltip: 1100\n  },\n  theme: undefined,\n  unstyled: false,\n  pt: undefined,\n  ptOptions: {\n    mergeSections: true,\n    mergeProps: false\n  },\n  csp: {\n    nonce: undefined\n  }\n};\nvar PrimeVueSymbol = Symbol();\nfunction usePrimeVue() {\n  var PrimeVue = inject(PrimeVueSymbol);\n  if (!PrimeVue) {\n    throw new Error('PrimeVue is not installed!');\n  }\n  return PrimeVue;\n}\nfunction setup(app, options) {\n  var PrimeVue = {\n    config: reactive(options)\n  };\n  app.config.globalProperties.$primevue = PrimeVue;\n  app.provide(PrimeVueSymbol, PrimeVue);\n  clearConfig();\n  setupConfig(app, PrimeVue);\n  return PrimeVue;\n}\nvar stopWatchers = [];\nfunction clearConfig() {\n  ThemeService.clear();\n  stopWatchers.forEach(function (fn) {\n    return fn === null || fn === void 0 ? void 0 : fn();\n  });\n  stopWatchers = [];\n}\nfunction setupConfig(app, PrimeVue) {\n  var isThemeChanged = ref(false);\n\n  /*** Methods and Services ***/\n  var loadCommonTheme = function loadCommonTheme() {\n    // common\n    if (!Theme.isStyleNameLoaded('common')) {\n      var _BaseStyle$getCommonT, _PrimeVue$config;\n      var _ref = ((_BaseStyle$getCommonT = BaseStyle.getCommonTheme) === null || _BaseStyle$getCommonT === void 0 ? void 0 : _BaseStyle$getCommonT.call(BaseStyle)) || {},\n        primitive = _ref.primitive,\n        semantic = _ref.semantic;\n      var styleOptions = {\n        nonce: (_PrimeVue$config = PrimeVue.config) === null || _PrimeVue$config === void 0 || (_PrimeVue$config = _PrimeVue$config.csp) === null || _PrimeVue$config === void 0 ? void 0 : _PrimeVue$config.nonce\n      };\n      BaseStyle.load(primitive === null || primitive === void 0 ? void 0 : primitive.css, _objectSpread({\n        name: 'primitive-variables'\n      }, styleOptions));\n      BaseStyle.load(semantic === null || semantic === void 0 ? void 0 : semantic.css, _objectSpread({\n        name: 'semantic-variables'\n      }, styleOptions));\n      BaseStyle.loadTheme(_objectSpread({\n        name: 'global-style'\n      }, styleOptions));\n      Theme.setLoadedStyleName('common');\n    }\n  };\n  ThemeService.on('theme:change', function (newTheme) {\n    if (!isThemeChanged.value) {\n      app.config.globalProperties.$primevue.config.theme = newTheme;\n      isThemeChanged.value = true;\n    }\n  });\n\n  /*** Watchers ***/\n  var stopConfigWatcher = watch(PrimeVue.config, function (newValue, oldValue) {\n    PrimeVueService.emit('config:change', {\n      newValue: newValue,\n      oldValue: oldValue\n    });\n  }, {\n    immediate: true,\n    deep: true\n  });\n  var stopRippleWatcher = watch(function () {\n    return PrimeVue.config.ripple;\n  }, function (newValue, oldValue) {\n    PrimeVueService.emit('config:ripple:change', {\n      newValue: newValue,\n      oldValue: oldValue\n    });\n  }, {\n    immediate: true,\n    deep: true\n  });\n  var stopThemeWatcher = watch(function () {\n    return PrimeVue.config.theme;\n  }, function (newValue, oldValue) {\n    if (!isThemeChanged.value) {\n      Theme.setTheme(newValue);\n    }\n    if (!PrimeVue.config.unstyled) {\n      loadCommonTheme();\n    }\n    isThemeChanged.value = false;\n    PrimeVueService.emit('config:theme:change', {\n      newValue: newValue,\n      oldValue: oldValue\n    });\n  }, {\n    immediate: true,\n    deep: true\n  });\n  var stopUnstyledWatcher = watch(function () {\n    return PrimeVue.config.unstyled;\n  }, function (newValue, oldValue) {\n    if (!newValue && PrimeVue.config.theme) {\n      loadCommonTheme();\n    }\n    PrimeVueService.emit('config:unstyled:change', {\n      newValue: newValue,\n      oldValue: oldValue\n    });\n  }, {\n    immediate: true,\n    deep: true\n  });\n  stopWatchers.push(stopConfigWatcher);\n  stopWatchers.push(stopRippleWatcher);\n  stopWatchers.push(stopThemeWatcher);\n  stopWatchers.push(stopUnstyledWatcher);\n}\nvar PrimeVue = {\n  install: function install(app, options) {\n    var configOptions = _objectSpread(_objectSpread({}, defaultOptions), options);\n    setup(app, configOptions);\n  }\n};\n\nexport { clearConfig, PrimeVue as default, defaultOptions, setup, setupConfig, usePrimeVue };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  panel: {\n    borderWidth: '0 0 1px 0',\n    borderColor: '{content.border.color}'\n  },\n  header: {\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    activeColor: '{text.color}',\n    padding: '1.125rem',\n    fontWeight: '600',\n    borderRadius: '0',\n    borderWidth: '0',\n    borderColor: '{content.border.color}',\n    background: '{content.background}',\n    hoverBackground: '{content.background}',\n    activeBackground: '{content.background}',\n    activeHoverBackground: '{content.background}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    },\n    toggleIcon: {\n      color: '{text.muted.color}',\n      hoverColor: '{text.color}',\n      activeColor: '{text.color}',\n      activeHoverColor: '{text.color}'\n    },\n    first: {\n      topBorderRadius: '{content.border.radius}',\n      borderWidth: '0'\n    },\n    last: {\n      bottomBorderRadius: '{content.border.radius}',\n      activeBottomBorderRadius: '0'\n    }\n  },\n  content: {\n    borderWidth: '0',\n    borderColor: '{content.border.color}',\n    background: '{content.background}',\n    color: '{text.color}',\n    padding: '0 1.125rem 1.125rem 1.125rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{form.field.background}',\n    disabledBackground: '{form.field.disabled.background}',\n    filledBackground: '{form.field.filled.background}',\n    filledFocusBackground: '{form.field.filled.focus.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.focus.border.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    color: '{form.field.color}',\n    disabledColor: '{form.field.disabled.color}',\n    placeholderColor: '{form.field.placeholder.color}',\n    shadow: '{form.field.shadow}',\n    paddingX: '{form.field.padding.x}',\n    paddingY: '{form.field.padding.y}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{form.field.focus.ring.width}',\n      style: '{form.field.focus.ring.style}',\n      color: '{form.field.focus.ring.color}',\n      offset: '{form.field.focus.ring.offset}',\n      shadow: '{form.field.focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  overlay: {\n    background: '{overlay.select.background}',\n    borderColor: '{overlay.select.border.color}',\n    borderRadius: '{overlay.select.border.radius}',\n    color: '{overlay.select.color}',\n    shadow: '{overlay.select.shadow}'\n  },\n  list: {\n    padding: '{list.padding}',\n    gap: '{list.gap}'\n  },\n  option: {\n    focusBackground: '{list.option.focus.background}',\n    selectedBackground: '{list.option.selected.background}',\n    selectedFocusBackground: '{list.option.selected.focus.background}',\n    color: '{list.option.color}',\n    focusColor: '{list.option.focus.color}',\n    selectedColor: '{list.option.selected.color}',\n    selectedFocusColor: '{list.option.selected.focus.color}',\n    padding: '{list.option.padding}',\n    borderRadius: '{list.option.border.radius}'\n  },\n  optionGroup: {\n    background: '{list.option.group.background}',\n    color: '{list.option.group.color}',\n    fontWeight: '{list.option.group.font.weight}',\n    padding: '{list.option.group.padding}'\n  },\n  dropdown: {\n    width: '2.5rem',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.border.color}',\n    activeBorderColor: '{form.field.border.color}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  chip: {\n    borderRadius: '{border.radius.sm}'\n  },\n  emptyMessage: {\n    padding: '{list.option.padding}'\n  },\n  colorScheme: {\n    light: {\n      dropdown: {\n        background: '{surface.100}',\n        hoverBackground: '{surface.200}',\n        activeBackground: '{surface.300}',\n        color: '{surface.600}',\n        hoverColor: '{surface.700}',\n        activeColor: '{surface.800}'\n      }\n    },\n    dark: {\n      dropdown: {\n        background: '{surface.800}',\n        hoverBackground: '{surface.700}',\n        activeBackground: '{surface.600}',\n        color: '{surface.300}',\n        hoverColor: '{surface.200}',\n        activeColor: '{surface.100}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    width: '2rem',\n    height: '2rem',\n    fontSize: '1rem',\n    background: '{content.border.color}',\n    borderRadius: '{content.border.radius}'\n  },\n  group: {\n    borderColor: '{content.background}',\n    offset: '-1rem'\n  },\n  lg: {\n    width: '3rem',\n    height: '3rem',\n    fontSize: '1.5rem'\n  },\n  xl: {\n    width: '4rem',\n    height: '4rem',\n    fontSize: '2rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderRadius: '{border.radius.md}',\n    padding: '0 0.5rem',\n    fontSize: '0.75rem',\n    fontWeight: '700',\n    minWidth: '1.5rem',\n    height: '1.5rem'\n  },\n  dot: {\n    size: '0.5rem'\n  },\n  sm: {\n    fontSize: '0.625rem',\n    minWidth: '1.25rem',\n    height: '1.25rem'\n  },\n  lg: {\n    fontSize: '0.875rem',\n    minWidth: '1.75rem',\n    height: '1.75rem'\n  },\n  xl: {\n    fontSize: '1rem',\n    minWidth: '2rem',\n    height: '2rem'\n  },\n  colorScheme: {\n    light: {\n      primary: {\n        background: '{primary.color}',\n        color: '{primary.contrast.color}'\n      },\n      secondary: {\n        background: '{surface.100}',\n        color: '{surface.600}'\n      },\n      success: {\n        background: '{green.500}',\n        color: '{surface.0}'\n      },\n      info: {\n        background: '{sky.500}',\n        color: '{surface.0}'\n      },\n      warn: {\n        background: '{orange.500}',\n        color: '{surface.0}'\n      },\n      danger: {\n        background: '{red.500}',\n        color: '{surface.0}'\n      },\n      contrast: {\n        background: '{surface.950}',\n        color: '{surface.0}'\n      }\n    },\n    dark: {\n      primary: {\n        background: '{primary.color}',\n        color: '{primary.contrast.color}'\n      },\n      secondary: {\n        background: '{surface.800}',\n        color: '{surface.300}'\n      },\n      success: {\n        background: '{green.400}',\n        color: '{green.950}'\n      },\n      info: {\n        background: '{sky.400}',\n        color: '{sky.950}'\n      },\n      warn: {\n        background: '{orange.400}',\n        color: '{orange.950}'\n      },\n      danger: {\n        background: '{red.400}',\n        color: '{red.950}'\n      },\n      contrast: {\n        background: '{surface.0}',\n        color: '{surface.950}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderRadius: '{content.border.radius}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    padding: '1rem',\n    background: '{content.background}',\n    gap: '0.5rem',\n    transitionDuration: '{transition.duration}'\n  },\n  item: {\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    iconColor: '{navigation.item.icon.color}',\n    borderRadius: '{content.border.radius}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  separator: {\n    color: '{navigation.item.icon.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderRadius: '{form.field.border.radius}',\n    roundedBorderRadius: '2rem',\n    gap: '0.5rem',\n    paddingX: '{form.field.padding.x}',\n    paddingY: '{form.field.padding.y}',\n    iconOnlyWidth: '2.5rem',\n    sm: {\n      fontSize: '0.875rem',\n      paddingX: '0.625rem',\n      paddingY: '0.375rem'\n    },\n    lg: {\n      fontSize: '1.125rem',\n      paddingX: '0.875rem',\n      paddingY: '0.625rem'\n    },\n    label: {\n      fontWeight: '500'\n    },\n    raisedShadow: '0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 1px 5px 0 rgba(0, 0, 0, 0.12)',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      offset: '{focus.ring.offset}'\n    },\n    badgeSize: '1rem',\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  colorScheme: {\n    light: {\n      root: {\n        primary: {\n          background: '{primary.color}',\n          hoverBackground: '{primary.hover.color}',\n          activeBackground: '{primary.active.color}',\n          borderColor: '{primary.color}',\n          hoverBorderColor: '{primary.hover.color}',\n          activeBorderColor: '{primary.active.color}',\n          color: '{primary.contrast.color}',\n          hoverColor: '{primary.contrast.color}',\n          activeColor: '{primary.contrast.color}',\n          focusRing: {\n            color: '{primary.color}',\n            shadow: 'none'\n          }\n        },\n        secondary: {\n          background: '{surface.100}',\n          hoverBackground: '{surface.200}',\n          activeBackground: '{surface.300}',\n          borderColor: '{surface.100}',\n          hoverBorderColor: '{surface.200}',\n          activeBorderColor: '{surface.300}',\n          color: '{surface.600}',\n          hoverColor: '{surface.700}',\n          activeColor: '{surface.800}',\n          focusRing: {\n            color: '{surface.600}',\n            shadow: 'none'\n          }\n        },\n        info: {\n          background: '{sky.500}',\n          hoverBackground: '{sky.600}',\n          activeBackground: '{sky.700}',\n          borderColor: '{sky.500}',\n          hoverBorderColor: '{sky.600}',\n          activeBorderColor: '{sky.700}',\n          color: '#ffffff',\n          hoverColor: '#ffffff',\n          activeColor: '#ffffff',\n          focusRing: {\n            color: '{sky.500}',\n            shadow: 'none'\n          }\n        },\n        success: {\n          background: '{green.500}',\n          hoverBackground: '{green.600}',\n          activeBackground: '{green.700}',\n          borderColor: '{green.500}',\n          hoverBorderColor: '{green.600}',\n          activeBorderColor: '{green.700}',\n          color: '#ffffff',\n          hoverColor: '#ffffff',\n          activeColor: '#ffffff',\n          focusRing: {\n            color: '{green.500}',\n            shadow: 'none'\n          }\n        },\n        warn: {\n          background: '{orange.500}',\n          hoverBackground: '{orange.600}',\n          activeBackground: '{orange.700}',\n          borderColor: '{orange.500}',\n          hoverBorderColor: '{orange.600}',\n          activeBorderColor: '{orange.700}',\n          color: '#ffffff',\n          hoverColor: '#ffffff',\n          activeColor: '#ffffff',\n          focusRing: {\n            color: '{orange.500}',\n            shadow: 'none'\n          }\n        },\n        help: {\n          background: '{purple.500}',\n          hoverBackground: '{purple.600}',\n          activeBackground: '{purple.700}',\n          borderColor: '{purple.500}',\n          hoverBorderColor: '{purple.600}',\n          activeBorderColor: '{purple.700}',\n          color: '#ffffff',\n          hoverColor: '#ffffff',\n          activeColor: '#ffffff',\n          focusRing: {\n            color: '{purple.500}',\n            shadow: 'none'\n          }\n        },\n        danger: {\n          background: '{red.500}',\n          hoverBackground: '{red.600}',\n          activeBackground: '{red.700}',\n          borderColor: '{red.500}',\n          hoverBorderColor: '{red.600}',\n          activeBorderColor: '{red.700}',\n          color: '#ffffff',\n          hoverColor: '#ffffff',\n          activeColor: '#ffffff',\n          focusRing: {\n            color: '{red.500}',\n            shadow: 'none'\n          }\n        },\n        contrast: {\n          background: '{surface.950}',\n          hoverBackground: '{surface.900}',\n          activeBackground: '{surface.800}',\n          borderColor: '{surface.950}',\n          hoverBorderColor: '{surface.900}',\n          activeBorderColor: '{surface.800}',\n          color: '{surface.0}',\n          hoverColor: '{surface.0}',\n          activeColor: '{surface.0}',\n          focusRing: {\n            color: '{surface.950}',\n            shadow: 'none'\n          }\n        }\n      },\n      outlined: {\n        primary: {\n          hoverBackground: '{primary.50}',\n          activeBackground: '{primary.100}',\n          borderColor: '{primary.200}',\n          color: '{primary.color}'\n        },\n        secondary: {\n          hoverBackground: '{surface.50}',\n          activeBackground: '{surface.100}',\n          borderColor: '{surface.200}',\n          color: '{surface.500}'\n        },\n        success: {\n          hoverBackground: '{green.50}',\n          activeBackground: '{green.100}',\n          borderColor: '{green.200}',\n          color: '{green.500}'\n        },\n        info: {\n          hoverBackground: '{sky.50}',\n          activeBackground: '{sky.100}',\n          borderColor: '{sky.200}',\n          color: '{sky.500}'\n        },\n        warn: {\n          hoverBackground: '{orange.50}',\n          activeBackground: '{orange.100}',\n          borderColor: '{orange.200}',\n          color: '{orange.500}'\n        },\n        help: {\n          hoverBackground: '{purple.50}',\n          activeBackground: '{purple.100}',\n          borderColor: '{purple.200}',\n          color: '{purple.500}'\n        },\n        danger: {\n          hoverBackground: '{red.50}',\n          activeBackground: '{red.100}',\n          borderColor: '{red.200}',\n          color: '{red.500}'\n        },\n        contrast: {\n          hoverBackground: '{surface.50}',\n          activeBackground: '{surface.100}',\n          borderColor: '{surface.700}',\n          color: '{surface.950}'\n        },\n        plain: {\n          hoverBackground: '{surface.50}',\n          activeBackground: '{surface.100}',\n          borderColor: '{surface.200}',\n          color: '{surface.700}'\n        }\n      },\n      text: {\n        primary: {\n          hoverBackground: '{primary.50}',\n          activeBackground: '{primary.100}',\n          color: '{primary.color}'\n        },\n        secondary: {\n          hoverBackground: '{surface.50}',\n          activeBackground: '{surface.100}',\n          color: '{surface.500}'\n        },\n        success: {\n          hoverBackground: '{green.50}',\n          activeBackground: '{green.100}',\n          color: '{green.500}'\n        },\n        info: {\n          hoverBackground: '{sky.50}',\n          activeBackground: '{sky.100}',\n          color: '{sky.500}'\n        },\n        warn: {\n          hoverBackground: '{orange.50}',\n          activeBackground: '{orange.100}',\n          color: '{orange.500}'\n        },\n        help: {\n          hoverBackground: '{purple.50}',\n          activeBackground: '{purple.100}',\n          color: '{purple.500}'\n        },\n        danger: {\n          hoverBackground: '{red.50}',\n          activeBackground: '{red.100}',\n          color: '{red.500}'\n        },\n        plain: {\n          hoverBackground: '{surface.50}',\n          activeBackground: '{surface.100}',\n          color: '{surface.700}'\n        }\n      },\n      link: {\n        color: '{primary.color}',\n        hoverColor: '{primary.color}',\n        activeColor: '{primary.color}'\n      }\n    },\n    dark: {\n      root: {\n        primary: {\n          background: '{primary.color}',\n          hoverBackground: '{primary.hover.color}',\n          activeBackground: '{primary.active.color}',\n          borderColor: '{primary.color}',\n          hoverBorderColor: '{primary.hover.color}',\n          activeBorderColor: '{primary.active.color}',\n          color: '{primary.contrast.color}',\n          hoverColor: '{primary.contrast.color}',\n          activeColor: '{primary.contrast.color}',\n          focusRing: {\n            color: '{primary.color}',\n            shadow: 'none'\n          }\n        },\n        secondary: {\n          background: '{surface.800}',\n          hoverBackground: '{surface.700}',\n          activeBackground: '{surface.600}',\n          borderColor: '{surface.800}',\n          hoverBorderColor: '{surface.700}',\n          activeBorderColor: '{surface.600}',\n          color: '{surface.300}',\n          hoverColor: '{surface.200}',\n          activeColor: '{surface.100}',\n          focusRing: {\n            color: '{surface.300}',\n            shadow: 'none'\n          }\n        },\n        info: {\n          background: '{sky.400}',\n          hoverBackground: '{sky.300}',\n          activeBackground: '{sky.200}',\n          borderColor: '{sky.400}',\n          hoverBorderColor: '{sky.300}',\n          activeBorderColor: '{sky.200}',\n          color: '{sky.950}',\n          hoverColor: '{sky.950}',\n          activeColor: '{sky.950}',\n          focusRing: {\n            color: '{sky.400}',\n            shadow: 'none'\n          }\n        },\n        success: {\n          background: '{green.400}',\n          hoverBackground: '{green.300}',\n          activeBackground: '{green.200}',\n          borderColor: '{green.400}',\n          hoverBorderColor: '{green.300}',\n          activeBorderColor: '{green.200}',\n          color: '{green.950}',\n          hoverColor: '{green.950}',\n          activeColor: '{green.950}',\n          focusRing: {\n            color: '{green.400}',\n            shadow: 'none'\n          }\n        },\n        warn: {\n          background: '{orange.400}',\n          hoverBackground: '{orange.300}',\n          activeBackground: '{orange.200}',\n          borderColor: '{orange.400}',\n          hoverBorderColor: '{orange.300}',\n          activeBorderColor: '{orange.200}',\n          color: '{orange.950}',\n          hoverColor: '{orange.950}',\n          activeColor: '{orange.950}',\n          focusRing: {\n            color: '{orange.400}',\n            shadow: 'none'\n          }\n        },\n        help: {\n          background: '{purple.400}',\n          hoverBackground: '{purple.300}',\n          activeBackground: '{purple.200}',\n          borderColor: '{purple.400}',\n          hoverBorderColor: '{purple.300}',\n          activeBorderColor: '{purple.200}',\n          color: '{purple.950}',\n          hoverColor: '{purple.950}',\n          activeColor: '{purple.950}',\n          focusRing: {\n            color: '{purple.400}',\n            shadow: 'none'\n          }\n        },\n        danger: {\n          background: '{red.400}',\n          hoverBackground: '{red.300}',\n          activeBackground: '{red.200}',\n          borderColor: '{red.400}',\n          hoverBorderColor: '{red.300}',\n          activeBorderColor: '{red.200}',\n          color: '{red.950}',\n          hoverColor: '{red.950}',\n          activeColor: '{red.950}',\n          focusRing: {\n            color: '{red.400}',\n            shadow: 'none'\n          }\n        },\n        contrast: {\n          background: '{surface.0}',\n          hoverBackground: '{surface.100}',\n          activeBackground: '{surface.200}',\n          borderColor: '{surface.0}',\n          hoverBorderColor: '{surface.100}',\n          activeBorderColor: '{surface.200}',\n          color: '{surface.950}',\n          hoverColor: '{surface.950}',\n          activeColor: '{surface.950}',\n          focusRing: {\n            color: '{surface.0}',\n            shadow: 'none'\n          }\n        }\n      },\n      outlined: {\n        primary: {\n          hoverBackground: 'color-mix(in srgb, {primary.color}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {primary.color}, transparent 84%)',\n          borderColor: '{primary.700}',\n          color: '{primary.color}'\n        },\n        secondary: {\n          hoverBackground: 'rgba(255,255,255,0.04)',\n          activeBackground: 'rgba(255,255,255,0.16)',\n          borderColor: '{surface.700}',\n          color: '{surface.400}'\n        },\n        success: {\n          hoverBackground: 'color-mix(in srgb, {green.400}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {green.400}, transparent 84%)',\n          borderColor: '{green.700}',\n          color: '{green.400}'\n        },\n        info: {\n          hoverBackground: 'color-mix(in srgb, {sky.400}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {sky.400}, transparent 84%)',\n          borderColor: '{sky.700}',\n          color: '{sky.400}'\n        },\n        warn: {\n          hoverBackground: 'color-mix(in srgb, {orange.400}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {orange.400}, transparent 84%)',\n          borderColor: '{orange.700}',\n          color: '{orange.400}'\n        },\n        help: {\n          hoverBackground: 'color-mix(in srgb, {help.400}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {help.400}, transparent 84%)',\n          borderColor: '{purple.700}',\n          color: '{purple.400}'\n        },\n        danger: {\n          hoverBackground: 'color-mix(in srgb, {danger.400}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {danger.400}, transparent 84%)',\n          borderColor: '{red.700}',\n          color: '{red.400}'\n        },\n        contrast: {\n          hoverBackground: '{surface.800}',\n          activeBackground: '{surface.700}',\n          borderColor: '{surface.500}',\n          color: '{surface.0}'\n        },\n        plain: {\n          hoverBackground: '{surface.800}',\n          activeBackground: '{surface.700}',\n          borderColor: '{surface.600}',\n          color: '{surface.0}'\n        }\n      },\n      text: {\n        primary: {\n          hoverBackground: 'color-mix(in srgb, {primary.color}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {primary.color}, transparent 84%)',\n          color: '{primary.color}'\n        },\n        secondary: {\n          hoverBackground: '{surface.800}',\n          activeBackground: '{surface.700}',\n          color: '{surface.400}'\n        },\n        success: {\n          hoverBackground: 'color-mix(in srgb, {green.400}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {green.400}, transparent 84%)',\n          color: '{green.400}'\n        },\n        info: {\n          hoverBackground: 'color-mix(in srgb, {sky.400}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {sky.400}, transparent 84%)',\n          color: '{sky.400}'\n        },\n        warn: {\n          hoverBackground: 'color-mix(in srgb, {orange.400}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {orange.400}, transparent 84%)',\n          color: '{orange.400}'\n        },\n        help: {\n          hoverBackground: 'color-mix(in srgb, {purple.400}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {purple.400}, transparent 84%)',\n          color: '{purple.400}'\n        },\n        danger: {\n          hoverBackground: 'color-mix(in srgb, {red.400}, transparent 96%)',\n          activeBackground: 'color-mix(in srgb, {red.400}, transparent 84%)',\n          color: '{red.400}'\n        },\n        plain: {\n          hoverBackground: '{surface.800}',\n          activeBackground: '{surface.700}',\n          color: '{surface.0}'\n        }\n      },\n      link: {\n        color: '{primary.color}',\n        hoverColor: '{primary.color}',\n        activeColor: '{primary.color}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderRadius: '{border.radius.xl}',\n    color: '{content.color}',\n    shadow: '0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px -1px rgba(0, 0, 0, 0.1)'\n  },\n  body: {\n    padding: '1.25rem',\n    gap: '0.5rem'\n  },\n  caption: {\n    gap: '0.5rem'\n  },\n  title: {\n    fontSize: '1.25rem',\n    fontWeight: '500'\n  },\n  subtitle: {\n    color: '{text.muted.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    indicatorList: {\n      padding: '1rem',\n      gap: '0.5rem'\n    },\n    indicator: {\n      width: '2rem',\n      height: '0.5rem',\n      borderRadius: '{content.border.radius}',\n      focusRing: {\n        width: '{focus.ring.width}',\n        style: '{focus.ring.style}',\n        color: '{focus.ring.color}',\n        offset: '{focus.ring.offset}',\n        shadow: '{focus.ring.shadow}'\n      }\n    },\n    transitionDuration: '{transition.duration}'\n  },\n  colorScheme: {\n    light: {\n      indicator: {\n        background: '{surface.200}',\n        hoverBackground: '{surface.300}',\n        activeBackground: '{primary.color}'\n      }\n    },\n    dark: {\n      indicator: {\n        background: '{surface.700}',\n        hoverBackground: '{surface.600}',\n        activeBackground: '{primary.color}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{form.field.background}',\n    disabledBackground: '{form.field.disabled.background}',\n    filledBackground: '{form.field.filled.background}',\n    filledFocusBackground: '{form.field.filled.focus.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.focus.border.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    color: '{form.field.color}',\n    disabledColor: '{form.field.disabled.color}',\n    placeholderColor: '{form.field.placeholder.color}',\n    shadow: '{form.field.shadow}',\n    paddingX: '{form.field.padding.x}',\n    paddingY: '{form.field.padding.y}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{form.field.focus.ring.width}',\n      style: '{form.field.focus.ring.style}',\n      color: '{form.field.focus.ring.color}',\n      offset: '{form.field.focus.ring.offset}',\n      shadow: '{form.field.focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  dropdown: {\n    width: '2.5rem',\n    color: '{form.field.icon.color}'\n  },\n  overlay: {\n    background: '{overlay.select.background}',\n    borderColor: '{overlay.select.border.color}',\n    borderRadius: '{overlay.select.border.radius}',\n    color: '{overlay.select.color}',\n    shadow: '{overlay.select.shadow}'\n  },\n  list: {\n    padding: '{list.padding}',\n    gap: '{list.gap}'\n  },\n  option: {\n    focusBackground: '{list.option.focus.background}',\n    selectedBackground: '{list.option.selected.background}',\n    selectedFocusBackground: '{list.option.selected.focus.background}',\n    color: '{list.option.color}',\n    focusColor: '{list.option.focus.color}',\n    selectedColor: '{list.option.selected.color}',\n    selectedFocusColor: '{list.option.selected.focus.color}',\n    padding: '{list.option.padding}',\n    borderRadius: '{list.option.border.radius}',\n    icon: {\n      color: '{list.option.icon.color}',\n      focusColor: '{list.option.icon.focus.color}',\n      size: '0.875rem'\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderRadius: '{border.radius.sm}',\n    width: '1.25rem',\n    height: '1.25rem',\n    background: '{form.field.background}',\n    checkedBackground: '{primary.color}',\n    checkedHoverBackground: '{primary.hover.color}',\n    disabledBackground: '{form.field.disabled.background}',\n    filledBackground: '{form.field.filled.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.border.color}',\n    checkedBorderColor: '{primary.color}',\n    checkedHoverBorderColor: '{primary.hover.color}',\n    checkedFocusBorderColor: '{primary.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    shadow: '{form.field.shadow}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  icon: {\n    size: '0.875rem',\n    color: '{form.field.color}',\n    checkedColor: '{primary.contrast.color}',\n    checkedHoverColor: '{primary.contrast.color}',\n    disabledColor: '{form.field.disabled.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderRadius: '16px',\n    paddingX: '0.75rem',\n    paddingY: '0.5rem',\n    gap: '0.5rem',\n    transitionDuration: '{transition.duration}'\n  },\n  image: {\n    width: '2rem',\n    height: '2rem'\n  },\n  icon: {\n    size: '1rem'\n  },\n  removeIcon: {\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{form.field.focus.ring.shadow}'\n    }\n  },\n  colorScheme: {\n    light: {\n      root: {\n        background: '{surface.100}',\n        color: '{surface.800}'\n      },\n      icon: {\n        color: '{surface.800}'\n      },\n      removeIcon: {\n        color: '{surface.800}'\n      }\n    },\n    dark: {\n      root: {\n        background: '{surface.800}',\n        color: '{surface.0}'\n      },\n      icon: {\n        color: '{surface.0}'\n      },\n      removeIcon: {\n        color: '{surfaec.0}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  preview: {\n    width: '1.5rem',\n    height: '1.5rem',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  panel: {\n    shadow: '{overlay.popover.shadow}',\n    borderRadius: '{overlay.popover.borderRadius}'\n  },\n  colorScheme: {\n    light: {\n      panel: {\n        background: '{surface.800}',\n        borderColor: '{surface.900}'\n      },\n      handle: {\n        color: '{surface.0}'\n      }\n    },\n    dark: {\n      panel: {\n        background: '{surface.900}',\n        borderColor: '{surface.700}'\n      },\n      handle: {\n        color: '{surface.0}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  icon: {\n    size: '2rem',\n    color: '{overlay.modal.color}'\n  },\n  content: {\n    gap: '1rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{overlay.popover.background}',\n    borderColor: '{overlay.popover.border.color}',\n    color: '{overlay.popover.color}',\n    borderRadius: '{overlay.popover.border.radius}',\n    shadow: '{overlay.popover.shadow}',\n    gutter: '10px',\n    arrowOffset: '1.25rem'\n  },\n  content: {\n    padding: '{overlay.popover.padding}',\n    gap: '1rem'\n  },\n  icon: {\n    size: '1.5rem',\n    color: '{overlay.popover.color}'\n  },\n  footer: {\n    gap: '0.5rem',\n    padding: '0 {overlay.popover.padding} {overlay.popover.padding} {overlay.popover.padding}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    color: '{content.color}',\n    borderRadius: '{content.border.radius}',\n    shadow: '{overlay.navigation.shadow}',\n    transitionDuration: '{transition.duration}'\n  },\n  list: {\n    padding: '{navigation.list.padding}',\n    gap: '{navigation.list.gap}'\n  },\n  item: {\n    focusBackground: '{navigation.item.focus.background}',\n    activeBackground: '{navigation.item.active.background}',\n    color: '{navigation.item.color}',\n    focusColor: '{navigation.item.focus.color}',\n    activeColor: '{navigation.item.active.color}',\n    padding: '{navigation.item.padding}',\n    borderRadius: '{navigation.item.border.radius}',\n    gap: '{navigation.item.gap}',\n    icon: {\n      color: '{navigation.item.icon.color}',\n      focusColor: '{navigation.item.icon.focus.color}',\n      activeColor: '{navigation.item.icon.active.color}'\n    }\n  },\n  submenuIcon: {\n    size: '{navigation.submenu.icon.size}',\n    color: '{navigation.submenu.icon.color}',\n    focusColor: '{navigation.submenu.icon.focus.color}',\n    activeColor: '{navigation.submenu.icon.active.color}'\n  },\n  separator: {\n    borderColor: '{content.border.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  header: {\n    background: '{content.background}',\n    borderColor: '{datatable.border.color}',\n    color: '{content.color}',\n    borderWidth: '0 0 1px 0',\n    padding: '0.75rem 1rem'\n  },\n  headerCell: {\n    background: '{content.background}',\n    hoverBackground: '{content.hover.background}',\n    selectedBackground: '{highlight.background}',\n    borderColor: '{datatable.border.color}',\n    color: '{content.color}',\n    hoverColor: '{content.hover.color}',\n    selectedColor: '{highlight.color}',\n    gap: '0.5rem',\n    padding: '0.75rem 1rem',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '-1px',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  columnTitle: {\n    fontWeight: '600'\n  },\n  row: {\n    background: '{content.background}',\n    hoverBackground: '{content.hover.background}',\n    selectedBackground: '{highlight.background}',\n    color: '{content.color}',\n    hoverColor: '{content.hover.color}',\n    selectedColor: '{highlight.color}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '-1px',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  bodyCell: {\n    borderColor: '{datatable.border.color}',\n    padding: '0.75rem 1rem'\n  },\n  footerCell: {\n    background: '{content.background}',\n    borderColor: '{datatable.border.color}',\n    color: '{content.color}',\n    padding: '0.75rem 1rem'\n  },\n  columnFooter: {\n    fontWeight: '600'\n  },\n  footer: {\n    background: '{content.background}',\n    borderColor: '{datatable.border.color}',\n    color: '{content.color}',\n    borderWidth: '0 0 1px 0',\n    padding: '0.75rem 1rem'\n  },\n  dropPointColor: '{primary.color}',\n  columnResizerWidth: '0.5rem',\n  resizeIndicator: {\n    width: '1px',\n    color: '{primary.color}'\n  },\n  sortIcon: {\n    color: '{text.muted.color}',\n    hoverColor: '{text.hover.muted.color}'\n  },\n  loadingIcon: {\n    size: '2rem'\n  },\n  rowToggleButton: {\n    hoverBackground: '{content.hover.background}',\n    selectedHoverBackground: '{content.background}',\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    selectedHoverColor: '{primary.color}',\n    size: '1.75rem',\n    borderRadius: '50%',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  filter: {\n    inlineGap: '0.5rem',\n    overlaySelect: {\n      background: '{overlay.select.background}',\n      borderColor: '{overlay.select.border.color}',\n      borderRadius: '{overlay.select.border.radius}',\n      color: '{overlay.select.color}',\n      shadow: '{overlay.select.shadow}'\n    },\n    overlayPopover: {\n      background: '{overlay.popover.background}',\n      borderColor: '{overlay.popover.border.color}',\n      borderRadius: '{overlay.popover.border.radius}',\n      color: '{overlay.popover.color}',\n      shadow: '{overlay.popover.shadow}',\n      padding: '{overlay.popover.padding}',\n      gap: '0.5rem'\n    },\n    rule: {\n      borderColor: '{content.border.color}'\n    },\n    constraintList: {\n      padding: '{list.padding}',\n      gap: '{list.gap}'\n    },\n    constraint: {\n      focusBackground: '{list.option.focus.background}',\n      selectedBackground: '{list.option.selected.background}',\n      selectedFocusBackground: '{list.option.selected.focus.background}',\n      color: '{list.option.color}',\n      focusColor: '{list.option.focus.color}',\n      selectedColor: '{list.option.selected.color}',\n      selectedFocusColor: '{list.option.selected.focus.color}',\n      separator: {\n        borderColor: '{content.border.color}'\n      },\n      padding: '{list.option.padding}',\n      borderRadius: '{list.option.border.radius}'\n    }\n  },\n  paginatorTop: {\n    borderColor: '{datatable.border.color}',\n    borderWidth: '0 0 1px 0'\n  },\n  paginatorBottom: {\n    borderColor: '{datatable.border.color}',\n    borderWidth: '0 0 1px 0'\n  },\n  colorScheme: {\n    light: {\n      root: {\n        borderColor: '{content.border.color}'\n      },\n      row: {\n        stripedBackground: '{surface.50}'\n      },\n      bodyCell: {\n        selectedBorderColor: '{primary.100}'\n      }\n    },\n    dark: {\n      root: {\n        borderColor: '{surface.800}'\n      },\n      row: {\n        stripedBackground: '{surface.950}'\n      },\n      bodyCell: {\n        selectedBorderColor: '{primary.900}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderColor: 'transparent',\n    borderWidth: '0',\n    borderRadius: '0',\n    padding: '0'\n  },\n  header: {\n    background: '{content.background}',\n    color: '{content.color}',\n    borderColor: '{content.border.color}',\n    borderWidth: '0 0 1px 0',\n    padding: '0.75rem 1rem',\n    borderRadius: '0'\n  },\n  content: {\n    background: '{content.background}',\n    color: '{content.color}',\n    borderColor: 'transparent',\n    borderWidth: '0',\n    padding: '0',\n    borderRadius: '0'\n  },\n  footer: {\n    background: '{content.background}',\n    color: '{content.color}',\n    borderColor: '{content.border.color}',\n    borderWidth: '1px 0 0 0',\n    padding: '0.75rem 1rem',\n    borderRadius: '0'\n  },\n  paginatorTop: {\n    borderColor: '{content.border.color}',\n    borderWidth: '0 0 1px 0'\n  },\n  paginatorBottom: {\n    borderColor: '{content.border.color}',\n    borderWidth: '1px 0 0 0'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  panel: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    color: '{content.color}',\n    borderRadius: '{content.border.radius}',\n    shadow: '{overlay.popover.shadow}',\n    padding: '{overlay.popover.padding}'\n  },\n  header: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    color: '{content.color}',\n    padding: '0 0 0.5rem 0',\n    fontWeight: '500',\n    gap: '0.5rem'\n  },\n  title: {\n    gap: '0.5rem',\n    fontWeight: '500'\n  },\n  dropdown: {\n    width: '2.5rem',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.border.color}',\n    activeBorderColor: '{form.field.border.color}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  inputIcon: {\n    color: '{form.field.icon.color}'\n  },\n  selectMonth: {\n    hoverBackground: '{content.hover.background}',\n    color: '{content.color}',\n    hoverColor: '{content.hover.color}',\n    padding: '0.25rem 0.5rem',\n    borderRadius: '{content.border.radius}'\n  },\n  selectYear: {\n    hoverBackground: '{content.hover.background}',\n    color: '{content.color}',\n    hoverColor: '{content.hover.color}',\n    padding: '0.25rem 0.5rem',\n    borderRadius: '{content.border.radius}'\n  },\n  group: {\n    borderColor: '{content.border.color}',\n    gap: '{overlay.popover.padding}'\n  },\n  dayView: {\n    margin: '0.5rem 0 0 0'\n  },\n  weekDay: {\n    padding: '0.25rem',\n    fontWeight: '500',\n    color: '{content.color}'\n  },\n  date: {\n    hoverBackground: '{content.hover.background}',\n    selectedBackground: '{primary.color}',\n    rangeSelectedBackground: '{highlight.background}',\n    color: '{content.color}',\n    hoverColor: '{content.hover.color}',\n    selectedColor: '{primary.contrast.color}',\n    rangeSelectedColor: '{highlight.color}',\n    width: '2rem',\n    height: '2rem',\n    borderRadius: '50%',\n    padding: '0.25rem',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  monthView: {\n    margin: '0.5rem 0 0 0'\n  },\n  month: {\n    borderRadius: '{content.border.radius}'\n  },\n  yearView: {\n    margin: '0.5rem 0 0 0'\n  },\n  year: {\n    borderRadius: '{content.border.radius}'\n  },\n  buttonbar: {\n    padding: '0.5rem 0 0 0',\n    borderColor: '{content.border.color}'\n  },\n  timePicker: {\n    padding: '0.5rem 0 0 0',\n    borderColor: '{content.border.color}',\n    gap: '0.5rem',\n    buttonGap: '0.25rem'\n  },\n  colorScheme: {\n    light: {\n      dropdown: {\n        background: '{surface.100}',\n        hoverBackground: '{surface.200}',\n        activeBackground: '{surface.300}',\n        color: '{surface.600}',\n        hoverColor: '{surface.700}',\n        activeColor: '{surface.800}'\n      },\n      today: {\n        background: '{surface.200}',\n        color: '{surface.900}'\n      }\n    },\n    dark: {\n      dropdown: {\n        background: '{surface.800}',\n        hoverBackground: '{surface.700}',\n        activeBackground: '{surface.600}',\n        color: '{surface.300}',\n        hoverColor: '{surface.200}',\n        activeColor: '{surface.100}'\n      },\n      today: {\n        background: '{surface.700}',\n        color: '{surface.0}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{overlay.modal.background}',\n    borderColor: '{overlay.modal.border.color}',\n    color: '{overlay.modal.color}',\n    borderRadius: '{overlay.modal.border.radius}',\n    shadow: '{overlay.modal.shadow}'\n  },\n  header: {\n    padding: '{overlay.modal.padding}',\n    gap: '0.5rem'\n  },\n  title: {\n    fontSize: '1.25rem',\n    fontWeight: '600'\n  },\n  content: {\n    padding: '0 {overlay.modal.padding} {overlay.modal.padding} {overlay.modal.padding}'\n  },\n  footer: {\n    padding: '0 {overlay.modal.padding} {overlay.modal.padding} {overlay.modal.padding}',\n    gap: '0.5rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderColor: '{content.border.color}'\n  },\n  content: {\n    background: '{content.background}',\n    color: '{text.color}'\n  },\n  horizontal: {\n    margin: '1rem 0',\n    padding: '0 1rem',\n    content: {\n      padding: '0 0.5rem'\n    }\n  },\n  vertical: {\n    margin: '0 1rem',\n    padding: '0.5rem 0',\n    content: {\n      padding: '0.5rem 0'\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: 'rgba(255, 255, 255, 0.1)',\n    borderColor: 'rgba(255, 255, 255, 0.2)',\n    padding: '0.5rem',\n    borderRadius: '{border.radius.xl}'\n  },\n  item: {\n    borderRadius: '{content.border.radius}',\n    padding: '0.5rem',\n    size: '3rem',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{overlay.modal.background}',\n    borderColor: '{overlay.modal.border.color}',\n    color: '{overlay.modal.color}',\n    borderRadius: '{overlay.modal.border.radius}',\n    shadow: '{overlay.modal.shadow}'\n  },\n  header: {\n    padding: '{overlay.modal.padding}'\n  },\n  title: {\n    fontSize: '1.5rem',\n    fontWeight: '600'\n  },\n  content: {\n    padding: '0 {overlay.modal.padding} {overlay.modal.padding} {overlay.modal.padding}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  toolbar: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    borderRadius: '{content.border.radius}'\n  },\n  toolbarItem: {\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    activeColor: '{primary.color}'\n  },\n  overlay: {\n    background: '{overlay.select.background}',\n    borderColor: '{overlay.select.border.color}',\n    borderRadius: '{overlay.select.border.radius}',\n    color: '{overlay.select.color}',\n    shadow: '{overlay.select.shadow}',\n    padding: '{list.padding}'\n  },\n  overlayOption: {\n    focusBackground: '{list.option.focus.background}',\n    color: '{list.option.color}',\n    focusColor: '{list.option.focus.color}',\n    padding: '{list.option.padding}',\n    borderRadius: '{list.option.border.radius}'\n  },\n  content: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    color: '{content.color}',\n    borderRadius: '{content.border.radius}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    color: '{content.color}',\n    padding: '0 1.125rem 1.125rem 1.125rem',\n    transitionDuration: '{transition.duration}'\n  },\n  legend: {\n    background: '{content.background}',\n    hoverBackground: '{content.hover.background}',\n    color: '{content.color}',\n    hoverColor: '{content.hover.color}',\n    borderRadius: '{content.border.radius}',\n    borderWidth: '1px',\n    borderColor: 'transparent',\n    padding: '0.5rem 0.75rem',\n    gap: '0.5rem',\n    fontWeight: '600',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  toggleIcon: {\n    color: '{text.muted.color}',\n    hoverColor: '{text.hover.muted.color}'\n  },\n  content: {\n    padding: '0'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    color: '{content.color}',\n    borderRadius: '{content.border.radius}',\n    transitionDuration: '{transition.duration}'\n  },\n  header: {\n    background: 'transparent',\n    color: '{text.color}',\n    padding: '1.125rem',\n    borderWidth: '0',\n    borderRadius: '0',\n    gap: '0.5rem'\n  },\n  content: {\n    highlightBorderColor: '{primary.color}',\n    padding: '0 1.125rem 1.125rem 1.125rem'\n  },\n  file: {\n    padding: '1rem',\n    gap: '1rem',\n    borderColor: '{content.border.color}',\n    info: {\n      gap: '0.5rem'\n    }\n  },\n  progressbar: {\n    height: '0.25rem'\n  },\n  basic: {\n    gap: '0.5rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    color: '{form.field.float.label.color}',\n    focusColor: '{form.field.float.label.focus.color}',\n    invalidColor: '{form.field.float.label.invalid.color}',\n    transitionDuration: '0.2s'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderWidth: '1px',\n    borderColor: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    transitionDuration: '{transition.duration}'\n  },\n  navButton: {\n    background: 'rgba(255, 255, 255, 0.1)',\n    hoverBackground: 'rgba(255, 255, 255, 0.2)',\n    color: '{surface.100}',\n    hoverColor: '{surface.0}',\n    size: '3rem',\n    gutter: '0.5rem',\n    prev: {\n      borderRadius: '50%'\n    },\n    next: {\n      borderRadius: '50%'\n    },\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  navIcon: {\n    size: '1.5rem'\n  },\n  thumbnailsContent: {\n    background: '{content.background}',\n    padding: '1rem 0.25rem'\n  },\n  thumbnailNavButton: {\n    size: '2rem',\n    borderRadius: '{content.border.radius}',\n    gutter: '0.5rem',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  thumbnailNavButtonIcon: {\n    size: '1rem'\n  },\n  caption: {\n    background: 'rgba(0, 0, 0, 0.5)',\n    color: '{surface.100}',\n    padding: '1rem'\n  },\n  indicatorList: {\n    gap: '0.5rem',\n    padding: '1rem'\n  },\n  indicatorButton: {\n    width: '1rem',\n    height: '1rem',\n    activeBackground: '{primary.color}',\n    borderRadius: '50%',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  insetIndicatorList: {\n    background: 'rgba(0, 0, 0, 0.5)'\n  },\n  insetIndicatorButton: {\n    background: 'rgba(255, 255, 255, 0.4)',\n    hoverBackground: 'rgba(255, 255, 255, 0.6)',\n    activeBackground: 'rgba(255, 255, 255, 0.9)'\n  },\n  mask: {\n    background: '{mask.background}',\n    color: '{mask.color}'\n  },\n  closeButton: {\n    size: '3rem',\n    gutter: '0.5rem',\n    background: 'rgba(255, 255, 255, 0.1)',\n    hoverBackground: 'rgba(255, 255, 255, 0.2)',\n    color: '{surface.50}',\n    hoverColor: '{surface.0}',\n    borderRadius: '50%',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  closeButtonIcon: {\n    size: '1.5rem'\n  },\n  colorScheme: {\n    light: {\n      thumbnailNavButton: {\n        hoverBackground: '{surface.100}',\n        color: '{surface.600}',\n        hoverColor: '{surface.700}'\n      },\n      indicatorButton: {\n        background: '{surface.200}',\n        hoverBackground: '{surface.300}'\n      }\n    },\n    dark: {\n      thumbnailNavButton: {\n        hoverBackground: '{surface.700}',\n        color: '{surface.400}',\n        hoverColor: '{surface.0}'\n      },\n      indicatorButton: {\n        background: '{surface.700}',\n        hoverBackground: '{surface.600}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  icon: {\n    color: '{form.field.icon.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  preview: {\n    icon: {\n      size: '1.5rem'\n    },\n    mask: {\n      background: '{mask.background}',\n      color: '{mask.color}'\n    }\n  },\n  toolbar: {\n    position: {\n      left: 'auto',\n      right: '1rem',\n      top: '1rem',\n      bottom: 'auto'\n    },\n    blur: '8px',\n    background: 'rgba(255,255,255,0.1)',\n    borderColor: 'rgba(255,255,255,0.2)',\n    borderWidth: '1px',\n    borderRadius: '30px',\n    padding: '.5rem',\n    gap: '0.5rem'\n  },\n  action: {\n    hoverBackground: 'rgba(255,255,255,0.1)',\n    color: '{surface.50}',\n    hoverColor: '{surface.0}',\n    size: '3rem',\n    iconSize: '1.5rem',\n    borderRadius: '50%',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    padding: '{form.field.padding.y} {form.field.padding.x}',\n    borderRadius: '{content.border.radius}',\n    gap: '0.5rem'\n  },\n  text: {\n    fontWeight: '500'\n  },\n  icon: {\n    size: '1rem'\n  },\n  colorScheme: {\n    light: {\n      info: {\n        background: 'color-mix(in srgb, {blue.50}, transparent 5%)',\n        borderColor: '{blue.200}',\n        color: '{blue.600}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)'\n      },\n      success: {\n        background: 'color-mix(in srgb, {green.50}, transparent 5%)',\n        borderColor: '{green.200}',\n        color: '{green.600}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)'\n      },\n      warn: {\n        background: 'color-mix(in srgb,{yellow.50}, transparent 5%)',\n        borderColor: '{yellow.200}',\n        color: '{yellow.600}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)'\n      },\n      error: {\n        background: 'color-mix(in srgb, {red.50}, transparent 5%)',\n        borderColor: '{red.200}',\n        color: '{red.600}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)'\n      },\n      secondary: {\n        background: '{surface.100}',\n        borderColor: '{surface.200}',\n        color: '{surface.600}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)'\n      },\n      contrast: {\n        background: '{surface.900}',\n        borderColor: '{surface.950}',\n        color: '{surface.50}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)'\n      }\n    },\n    dark: {\n      info: {\n        background: 'color-mix(in srgb, {blue.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {blue.700}, transparent 64%)',\n        color: '{blue.500}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)'\n      },\n      success: {\n        background: 'color-mix(in srgb, {green.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {green.700}, transparent 64%)',\n        color: '{green.500}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)'\n      },\n      warn: {\n        background: 'color-mix(in srgb, {yellow.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {yellow.700}, transparent 64%)',\n        color: '{yellow.500}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)'\n      },\n      error: {\n        background: 'color-mix(in srgb, {red.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {red.700}, transparent 64%)',\n        color: '{red.500}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)'\n      },\n      secondary: {\n        background: '{surface.800}',\n        borderColor: '{surface.700}',\n        color: '{surface.300}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)'\n      },\n      contrast: {\n        background: '{surface.0}',\n        borderColor: '{surface.100}',\n        color: '{surface.950}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    padding: '{form.field.padding.y} {form.field.padding.x}',\n    borderRadius: '{content.border.radius}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    },\n    transitionDuration: '{transition.duration}'\n  },\n  display: {\n    hoverBackground: '{content.hover.background}',\n    hoverColor: '{content.hover.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{form.field.background}',\n    disabledBackground: '{form.field.disabled.background}',\n    filledBackground: '{form.field.filled.background}',\n    filledFocusBackground: '{form.field.filled.focus.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.focus.border.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    color: '{form.field.color}',\n    disabledColor: '{form.field.disabled.color}',\n    placeholderColor: '{form.field.placeholder.color}',\n    shadow: '{form.field.shadow}',\n    paddingX: '{form.field.padding.x}',\n    paddingY: '{form.field.padding.y}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{form.field.focus.ring.width}',\n      style: '{form.field.focus.ring.style}',\n      color: '{form.field.focus.ring.color}',\n      offset: '{form.field.focus.ring.offset}',\n      shadow: '{form.field.focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  chip: {\n    borderRadius: '{border.radius.sm}'\n  },\n  colorScheme: {\n    light: {\n      chip: {\n        focusBackground: '{surface.200}',\n        color: '{surface.800}'\n      }\n    },\n    dark: {\n      chip: {\n        focusBackground: '{surface.700}',\n        color: '{surface.0}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  addon: {\n    background: '{form.field.background}',\n    borderColor: '{form.field.border.color}',\n    color: '{form.field.icon.color}',\n    borderRadius: '{form.field.border.radius}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  button: {\n    width: '2.5rem',\n    borderRadius: '{form.field.border.radius}',\n    verticalPadding: '{form.field.padding.y}'\n  },\n  colorScheme: {\n    light: {\n      button: {\n        background: 'transparent',\n        hoverBackground: '{surface.100}',\n        activeBackground: '{surface.200}',\n        borderColor: '{form.field.border.color}',\n        hoverBorderColor: '{form.field.border.color}',\n        activeBorderColor: '{form.field.border.color}',\n        color: '{surface.400}',\n        hoverColor: '{surface.500}',\n        activeColor: '{surface.600}'\n      }\n    },\n    dark: {\n      button: {\n        background: 'transparent',\n        hoverBackground: '{surface.800}',\n        activeBackground: '{surface.700}',\n        borderColor: '{form.field.border.color}',\n        hoverBorderColor: '{form.field.border.color}',\n        activeBorderColor: '{form.field.border.color}',\n        color: '{surface.400}',\n        hoverColor: '{surface.300}',\n        activeColor: '{surface.200}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{form.field.background}',\n    disabledBackground: '{form.field.disabled.background}',\n    filledBackground: '{form.field.filled.background}',\n    filledFocusBackground: '{form.field.filled.focus.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.focus.border.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    color: '{form.field.color}',\n    disabledColor: '{form.field.disabled.color}',\n    placeholderColor: '{form.field.placeholder.color}',\n    shadow: '{form.field.shadow}',\n    paddingX: '{form.field.padding.x}',\n    paddingY: '{form.field.padding.y}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{form.field.focus.ring.width}',\n      style: '{form.field.focus.ring.style}',\n      color: '{form.field.focus.ring.color}',\n      offset: '{form.field.focus.ring.offset}',\n      shadow: '{form.field.focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}',\n    sm: {\n      fontSize: '0.875rem',\n      paddingX: '0.625rem',\n      paddingY: '0.375rem'\n    },\n    lg: {\n      fontSize: '1.125rem',\n      paddingX: '0.875rem',\n      paddingY: '0.625rem'\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  value: {\n    background: '{primary.color}'\n  },\n  range: {\n    background: '{content.border.color}'\n  },\n  text: {\n    color: '{text.muted.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{form.field.background}',\n    disabledBackground: '{form.field.disabled.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.focus.border.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    color: '{form.field.color}',\n    disabledColor: '{form.field.disabled.color}',\n    shadow: '{form.field.shadow}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{form.field.focus.ring.width}',\n      style: '{form.field.focus.ring.style}',\n      color: '{form.field.focus.ring.color}',\n      offset: '{form.field.focus.ring.offset}',\n      shadow: '{form.field.focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  list: {\n    padding: '{list.padding}',\n    gap: '{list.gap}',\n    header: {\n      padding: '{list.header.padding}'\n    }\n  },\n  option: {\n    focusBackground: '{list.option.focus.background}',\n    selectedBackground: '{list.option.selected.background}',\n    selectedFocusBackground: '{list.option.selected.focus.background}',\n    color: '{list.option.color}',\n    focusColor: '{list.option.focus.color}',\n    selectedColor: '{list.option.selected.color}',\n    selectedFocusColor: '{list.option.selected.focus.color}',\n    padding: '{list.option.padding}',\n    borderRadius: '{list.option.border.radius}'\n  },\n  optionGroup: {\n    background: '{list.option.group.background}',\n    color: '{list.option.group.color}',\n    fontWeight: '{list.option.group.font.weight}',\n    padding: '{list.option.group.padding}'\n  },\n  checkmark: {\n    color: '{list.option.color}',\n    gutterStart: '-0.375rem',\n    gutterEnd: '0.375rem'\n  },\n  emptyMessage: {\n    padding: '{list.option.padding}'\n  },\n  colorScheme: {\n    light: {\n      option: {\n        stripedBackground: '{surface.50}'\n      }\n    },\n    dark: {\n      option: {\n        stripedBackground: '{surface.900}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    color: '{content.color}',\n    gap: '0.5rem',\n    verticalOrientation: {\n      padding: '{navigation.list.padding}',\n      gap: '0'\n    },\n    horizontalOrientation: {\n      padding: '0.5rem 0.75rem'\n    },\n    transitionDuration: '{transition.duration}'\n  },\n  baseItem: {\n    borderRadius: '{content.border.radius}',\n    padding: '{navigation.item.padding}'\n  },\n  item: {\n    focusBackground: '{navigation.item.focus.background}',\n    activeBackground: '{navigation.item.active.background}',\n    color: '{navigation.item.color}',\n    focusColor: '{navigation.item.focus.color}',\n    activeColor: '{navigation.item.active.color}',\n    padding: '{navigation.item.padding}',\n    borderRadius: '{navigation.item.border.radius}',\n    gap: '{navigation.item.gap}',\n    icon: {\n      color: '{navigation.item.icon.color}',\n      focusColor: '{navigation.item.icon.focus.color}',\n      activeColor: '{navigation.item.icon.active.color}'\n    }\n  },\n  overlay: {\n    padding: '0',\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    color: '{content.color}',\n    shadow: '{overlay.navigation.shadow}',\n    gap: '0.5rem'\n  },\n  submenu: {\n    padding: '{navigation.list.padding}',\n    gap: '{navigation.list.gap}'\n  },\n  submenuLabel: {\n    padding: '{navigation.submenu.label.padding}',\n    fontWeight: '{navigation.submenu.label.font.weight}',\n    background: '{navigation.submenu.label.background.}',\n    color: '{navigation.submenu.label.color}'\n  },\n  submenuIcon: {\n    size: '{navigation.submenu.icon.size}',\n    color: '{navigation.submenu.icon.color}',\n    focusColor: '{navigation.submenu.icon.focus.color}',\n    activeColor: '{navigation.submenu.icon.active.color}'\n  },\n  separator: {\n    borderColor: '{content.border.color}'\n  },\n  mobileButton: {\n    borderRadius: '50%',\n    size: '1.75rem',\n    color: '{text.muted.color}',\n    hoverColor: '{text.muted.hover.color}',\n    hoverBackground: '{content.hover.background}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    color: '{content.color}',\n    borderRadius: '{content.border.radius}',\n    shadow: '{overlay.navigation.shadow}',\n    transitionDuration: '{transition.duration}'\n  },\n  list: {\n    padding: '{navigation.list.padding}',\n    gap: '{navigation.list.gap}'\n  },\n  item: {\n    focusBackground: '{navigation.item.focus.background}',\n    color: '{navigation.item.color}',\n    focusColor: '{navigation.item.focus.color}',\n    padding: '{navigation.item.padding}',\n    borderRadius: '{navigation.item.border.radius}',\n    gap: '{navigation.item.gap}',\n    icon: {\n      color: '{navigation.item.icon.color}',\n      focusColor: '{navigation.item.icon.focus.color}'\n    }\n  },\n  submenuLabel: {\n    padding: '{navigation.submenu.label.padding}',\n    fontWeight: '{navigation.submenu.label.font.weight}',\n    background: '{navigation.submenu.label.background.}',\n    color: '{navigation.submenu.label.color}'\n  },\n  separator: {\n    borderColor: '{content.border.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    color: '{content.color}',\n    gap: '0.5rem',\n    padding: '0.5rem 0.75rem',\n    transitionDuration: '{transition.duration}'\n  },\n  baseItem: {\n    borderRadius: '{content.border.radius}',\n    padding: '{navigation.item.padding}'\n  },\n  item: {\n    focusBackground: '{navigation.item.focus.background}',\n    activeBackground: '{navigation.item.active.background}',\n    color: '{navigation.item.color}',\n    focusColor: '{navigation.item.focus.color}',\n    activeColor: '{navigation.item.active.color}',\n    padding: '{navigation.item.padding}',\n    borderRadius: '{navigation.item.border.radius}',\n    gap: '{navigation.item.gap}',\n    icon: {\n      color: '{navigation.item.icon.color}',\n      focusColor: '{navigation.item.icon.focus.color}',\n      activeColor: '{navigation.item.icon.active.color}'\n    }\n  },\n  submenu: {\n    padding: '{navigation.list.padding}',\n    gap: '{navigation.list.gap}',\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    shadow: '{overlay.navigation.shadow}',\n    mobileIndent: '1rem'\n  },\n  submenuIcon: {\n    size: '{navigation.submenu.icon.size}',\n    color: '{navigation.submenu.icon.color}',\n    focusColor: '{navigation.submenu.icon.focus.color}',\n    activeColor: '{navigation.submenu.icon.active.color}'\n  },\n  separator: {\n    borderColor: '{content.border.color}'\n  },\n  mobileButton: {\n    borderRadius: '50%',\n    size: '1.75rem',\n    color: '{text.muted.color}',\n    hoverColor: '{text.muted.hover.color}',\n    hoverBackground: '{content.hover.background}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderRadius: '{content.border.radius}',\n    borderWidth: '1px',\n    transitionDuration: '{transition.duration}'\n  },\n  content: {\n    padding: '0.5rem 0.75rem',\n    gap: '0.5rem'\n  },\n  text: {\n    fontSize: '1rem',\n    fontWeight: '500'\n  },\n  icon: {\n    size: '1.125rem'\n  },\n  closeButton: {\n    width: '1.75rem',\n    height: '1.75rem',\n    borderRadius: '50%',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      offset: '{focus.ring.offset}'\n    }\n  },\n  closeIcon: {\n    size: '1rem'\n  },\n  colorScheme: {\n    light: {\n      info: {\n        background: 'color-mix(in srgb, {blue.50}, transparent 5%)',\n        borderColor: '{blue.200}',\n        color: '{blue.600}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{blue.100}',\n          focusRing: {\n            color: '{blue.600}',\n            shadow: 'none'\n          }\n        }\n      },\n      success: {\n        background: 'color-mix(in srgb, {green.50}, transparent 5%)',\n        borderColor: '{green.200}',\n        color: '{green.600}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{green.100}',\n          focusRing: {\n            color: '{green.600}',\n            shadow: 'none'\n          }\n        }\n      },\n      warn: {\n        background: 'color-mix(in srgb,{yellow.50}, transparent 5%)',\n        borderColor: '{yellow.200}',\n        color: '{yellow.600}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{yellow.100}',\n          focusRing: {\n            color: '{yellow.600}',\n            shadow: 'none'\n          }\n        }\n      },\n      error: {\n        background: 'color-mix(in srgb, {red.50}, transparent 5%)',\n        borderColor: '{red.200}',\n        color: '{red.600}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{red.100}',\n          focusRing: {\n            color: '{red.600}',\n            shadow: 'none'\n          }\n        }\n      },\n      secondary: {\n        background: '{surface.100}',\n        borderColor: '{surface.200}',\n        color: '{surface.600}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{surface.200}',\n          focusRing: {\n            color: '{surface.600}',\n            shadow: 'none'\n          }\n        }\n      },\n      contrast: {\n        background: '{surface.900}',\n        borderColor: '{surface.950}',\n        color: '{surface.50}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{surface.800}',\n          focusRing: {\n            color: '{surface.50}',\n            shadow: 'none'\n          }\n        }\n      }\n    },\n    dark: {\n      info: {\n        background: 'color-mix(in srgb, {blue.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {blue.700}, transparent 64%)',\n        color: '{blue.500}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: 'rgba(255, 255, 255, 0.05)',\n          focusRing: {\n            color: '{blue.500}',\n            shadow: 'none'\n          }\n        }\n      },\n      success: {\n        background: 'color-mix(in srgb, {green.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {green.700}, transparent 64%)',\n        color: '{green.500}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: 'rgba(255, 255, 255, 0.05)',\n          focusRing: {\n            color: '{green.500}',\n            shadow: 'none'\n          }\n        }\n      },\n      warn: {\n        background: 'color-mix(in srgb, {yellow.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {yellow.700}, transparent 64%)',\n        color: '{yellow.500}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: 'rgba(255, 255, 255, 0.05)',\n          focusRing: {\n            color: '{yellow.500}',\n            shadow: 'none'\n          }\n        }\n      },\n      error: {\n        background: 'color-mix(in srgb, {red.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {red.700}, transparent 64%)',\n        color: '{red.500}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: 'rgba(255, 255, 255, 0.05)',\n          focusRing: {\n            color: '{red.500}',\n            shadow: 'none'\n          }\n        }\n      },\n      secondary: {\n        background: '{surface.800}',\n        borderColor: '{surface.700}',\n        color: '{surface.300}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{surface.700}',\n          focusRing: {\n            color: '{surface.300}',\n            shadow: 'none'\n          }\n        }\n      },\n      contrast: {\n        background: '{surface.0}',\n        borderColor: '{surface.100}',\n        color: '{surface.950}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{surface.100}',\n          focusRing: {\n            color: '{surface.950}',\n            shadow: 'none'\n          }\n        }\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderRadius: '{content.border.radius}',\n    gap: '1rem'\n  },\n  meters: {\n    background: '{content.border.color}',\n    size: '0.5rem'\n  },\n  label: {\n    gap: '0.5rem'\n  },\n  labelMarker: {\n    size: '0.5rem'\n  },\n  labelIcon: {\n    size: '1rem'\n  },\n  labelList: {\n    verticalGap: '0.5rem',\n    horizontalGap: '1rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{form.field.background}',\n    disabledBackground: '{form.field.disabled.background}',\n    filledBackground: '{form.field.filled.background}',\n    filledFocusBackground: '{form.field.filled.focus.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.focus.border.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    color: '{form.field.color}',\n    disabledColor: '{form.field.disabled.color}',\n    placeholderColor: '{form.field.placeholder.color}',\n    shadow: '{form.field.shadow}',\n    paddingX: '{form.field.padding.x}',\n    paddingY: '{form.field.padding.y}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{form.field.focus.ring.width}',\n      style: '{form.field.focus.ring.style}',\n      color: '{form.field.focus.ring.color}',\n      offset: '{form.field.focus.ring.offset}',\n      shadow: '{form.field.focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  dropdown: {\n    width: '2.5rem',\n    color: '{form.field.icon.color}'\n  },\n  overlay: {\n    background: '{overlay.select.background}',\n    borderColor: '{overlay.select.border.color}',\n    borderRadius: '{overlay.select.border.radius}',\n    color: '{overlay.select.color}',\n    shadow: '{overlay.select.shadow}'\n  },\n  list: {\n    padding: '{list.padding}',\n    gap: '{list.gap}',\n    header: {\n      padding: '{list.header.padding}'\n    }\n  },\n  option: {\n    focusBackground: '{list.option.focus.background}',\n    selectedBackground: '{list.option.selected.background}',\n    selectedFocusBackground: '{list.option.selected.focus.background}',\n    color: '{list.option.color}',\n    focusColor: '{list.option.focus.color}',\n    selectedColor: '{list.option.selected.color}',\n    selectedFocusColor: '{list.option.selected.focus.color}',\n    padding: '{list.option.padding}',\n    borderRadius: '{list.option.border.radius}',\n    gap: '0.5rem'\n  },\n  optionGroup: {\n    background: '{list.option.group.background}',\n    color: '{list.option.group.color}',\n    fontWeight: '{list.option.group.font.weight}',\n    padding: '{list.option.group.padding}'\n  },\n  chip: {\n    borderRadius: '{border.radius.sm}'\n  },\n  emptyMessage: {\n    padding: '{list.option.padding}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    gap: '1.125rem'\n  },\n  controls: {\n    gap: '0.5rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    gutter: '0.75rem',\n    transitionDuration: '{transition.duration}'\n  },\n  node: {\n    background: '{content.background}',\n    hoverBackground: '{content.hover.background}',\n    selectedBackground: '{highlight.background}',\n    borderColor: '{content.border.color}',\n    color: '{content.color}',\n    selectedColor: '{highlight.color}',\n    hoverColor: '{content.hover.color}',\n    padding: '0.75rem 1rem',\n    toggleablePadding: '0.75rem 1rem 1.25rem 1rem',\n    borderRadius: '{content.border.radius}'\n  },\n  nodeToggleButton: {\n    background: '{content.background}',\n    hoverBackground: '{content.hover.background}',\n    borderColor: '{content.border.color}',\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    size: '1.5rem',\n    borderRadius: '50%',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  connector: {\n    color: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    height: '24px'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    outline: {\n      width: '2px',\n      color: '{content.background}'\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    padding: '0.5rem 1rem',\n    gap: '0.25rem',\n    borderRadius: '{content.border.radius}',\n    background: '{content.background}',\n    color: '{content.color}',\n    transitionDuration: '{transition.duration}'\n  },\n  navButton: {\n    background: 'transparent',\n    hoverBackground: '{content.hover.background}',\n    selectedBackground: '{highlight.background}',\n    color: '{text.muted.color}',\n    hoverColor: '{text.hover.muted.color}',\n    selectedColor: '{highlight.color}',\n    width: '2.5rem',\n    height: '2.5rem',\n    borderRadius: '50%',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  currentPageReport: {\n    color: '{text.muted.color}'\n  },\n  jumpToPageInput: {\n    maxWidth: '2.5rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    color: '{content.color}',\n    borderRadius: '{content.border.radius}'\n  },\n  header: {\n    background: 'transparent',\n    color: '{text.color}',\n    padding: '1.125rem',\n    borderColor: '{content.border.color}',\n    borderWidth: '0',\n    borderRadius: '0'\n  },\n  toggleableHeader: {\n    padding: '0.375rem 1.125rem'\n  },\n  title: {\n    fontWeight: '600'\n  },\n  content: {\n    padding: '0 1.125rem 1.125rem 1.125rem'\n  },\n  footer: {\n    padding: '0 1.125rem 1.125rem 1.125rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    gap: '0.5rem',\n    transitionDuration: '{transition.duration}'\n  },\n  panel: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    borderWidth: '1px',\n    color: '{content.color}',\n    padding: '0.25rem 0.25rem',\n    borderRadius: '{content.border.radius}',\n    first: {\n      borderWidth: '1px',\n      topBorderRadius: '{content.border.radius}'\n    },\n    last: {\n      borderWidth: '1px',\n      bottomBorderRadius: '{content.border.radius}'\n    }\n  },\n  item: {\n    focusBackground: '{navigation.item.focus.background}',\n    color: '{navigation.item.color}',\n    focusColor: '{navigation.item.focus.color}',\n    gap: '0.5rem',\n    padding: '{navigation.item.padding}',\n    borderRadius: '{content.border.radius}',\n    icon: {\n      color: '{navigation.item.icon.color}',\n      focusColor: '{navigation.item.icon.focus.color}'\n    }\n  },\n  submenu: {\n    indent: '1rem'\n  },\n  submenuIcon: {\n    color: '{navigation.submenu.icon.color}',\n    focusColor: '{navigation.submenu.icon.focus.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  meter: {\n    background: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    height: '.75rem'\n  },\n  icon: {\n    color: '{form.field.icon.color}'\n  },\n  overlay: {\n    background: '{overlay.popover.background}',\n    borderColor: '{overlay.popover.border.color}',\n    borderRadius: '{overlay.popover.border.radius}',\n    color: '{overlay.popover.color}',\n    padding: '{overlay.popover.padding}',\n    shadow: '{overlay.popover.shadow}'\n  },\n  content: {\n    gap: '0.5rem'\n  },\n  colorScheme: {\n    light: {\n      strength: {\n        weakBackground: '{red.500}',\n        mediumBackground: '{amber.500}',\n        strongBackground: '{green.500}'\n      }\n    },\n    dark: {\n      strength: {\n        weakBackground: '{red.400}',\n        mediumBackground: '{amber.400}',\n        strongBackground: '{green.400}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    gap: '1.125rem'\n  },\n  controls: {\n    gap: '0.5rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{overlay.popover.background}',\n    borderColor: '{overlay.popover.border.color}',\n    color: '{overlay.popover.color}',\n    borderRadius: '{overlay.popover.border.radius}',\n    shadow: '{overlay.popover.shadow}',\n    gutter: '10px',\n    arrowOffset: '1.25rem'\n  },\n  content: {\n    padding: '{overlay.popover.padding}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    height: '1.25rem'\n  },\n  value: {\n    background: '{primary.color}'\n  },\n  label: {\n    color: '{primary.contrast.color}',\n    fontSize: '0.75rem',\n    fontWeight: '600'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  colorScheme: {\n    light: {\n      root: {\n        'color.1': '{red.500}',\n        'color.2': '{blue.500}',\n        'color.3': '{green.500}',\n        'color.4': '{yellow.500}'\n      }\n    },\n    dark: {\n      root: {\n        'color.1': '{red.400}',\n        'color.2': '{blue.400}',\n        'color.3': '{green.400}',\n        'color.4': '{yellow.400}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    width: '1.25rem',\n    height: '1.25rem',\n    background: '{form.field.background}',\n    checkedBackground: '{primary.color}',\n    checkedHoverBackground: '{primary.hover.color}',\n    disabledBackground: '{form.field.disabled.background}',\n    filledBackground: '{form.field.filled.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.border.color}',\n    checkedBorderColor: '{primary.color}',\n    checkedHoverBorderColor: '{primary.hover.color}',\n    checkedFocusBorderColor: '{primary.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    shadow: '{form.field.shadow}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  icon: {\n    size: '0.75rem',\n    checkedColor: '{primary.contrast.color}',\n    checkedHoverColor: '{primary.contrast.color}',\n    disabledColor: '{form.field.disabled.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    gap: '0.25rem',\n    transitionDuration: '{transition.duration}'\n  },\n  icon: {\n    size: '1rem',\n    color: '{text.muted.color}',\n    hoverColor: '{primary.color}',\n    activeColor: '{primary.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  colorScheme: {\n    light: {\n      root: {\n        background: 'rgba(0,0,0,0.1)'\n      }\n    },\n    dark: {\n      root: {\n        background: 'rgba(255,255,255,0.3)'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  bar: {\n    size: '9px',\n    borderRadius: '{border.radius.sm}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  colorScheme: {\n    light: {\n      bar: {\n        background: '{surface.100}'\n      }\n    },\n    dark: {\n      bar: {\n        background: '{surface.800}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{form.field.background}',\n    disabledBackground: '{form.field.disabled.background}',\n    filledBackground: '{form.field.filled.background}',\n    filledFocusBackground: '{form.field.filled.focus.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.focus.border.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    color: '{form.field.color}',\n    disabledColor: '{form.field.disabled.color}',\n    placeholderColor: '{form.field.placeholder.color}',\n    shadow: '{form.field.shadow}',\n    paddingX: '{form.field.padding.x}',\n    paddingY: '{form.field.padding.y}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{form.field.focus.ring.width}',\n      style: '{form.field.focus.ring.style}',\n      color: '{form.field.focus.ring.color}',\n      offset: '{form.field.focus.ring.offset}',\n      shadow: '{form.field.focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  dropdown: {\n    width: '2.5rem',\n    color: '{form.field.icon.color}'\n  },\n  overlay: {\n    background: '{overlay.select.background}',\n    borderColor: '{overlay.select.border.color}',\n    borderRadius: '{overlay.select.border.radius}',\n    color: '{overlay.select.color}',\n    shadow: '{overlay.select.shadow}'\n  },\n  list: {\n    padding: '{list.padding}',\n    gap: '{list.gap}',\n    header: {\n      padding: '{list.header.padding}'\n    }\n  },\n  option: {\n    focusBackground: '{list.option.focus.background}',\n    selectedBackground: '{list.option.selected.background}',\n    selectedFocusBackground: '{list.option.selected.focus.background}',\n    color: '{list.option.color}',\n    focusColor: '{list.option.focus.color}',\n    selectedColor: '{list.option.selected.color}',\n    selectedFocusColor: '{list.option.selected.focus.color}',\n    padding: '{list.option.padding}',\n    borderRadius: '{list.option.border.radius}'\n  },\n  optionGroup: {\n    background: '{list.option.group.background}',\n    color: '{list.option.group.color}',\n    fontWeight: '{list.option.group.font.weight}',\n    padding: '{list.option.group.padding}'\n  },\n  clearIcon: {\n    color: '{form.field.icon.color}'\n  },\n  checkmark: {\n    color: '{list.option.color}',\n    gutterStart: '-0.375rem',\n    gutterEnd: '0.375rem'\n  },\n  emptyMessage: {\n    padding: '{list.option.padding}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderRadius: '{form.field.border.radius}'\n  },\n  colorScheme: {\n    light: {\n      root: {\n        invalidBorderColor: '{form.field.invalid.border.color}'\n      }\n    },\n    dark: {\n      root: {\n        invalidBorderColor: '{form.field.invalid.border.color}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderRadius: '{content.border.radius}'\n  },\n  colorScheme: {\n    light: {\n      root: {\n        background: '{surface.200}',\n        animationBackground: 'rgba(255,255,255,0.4)'\n      }\n    },\n    dark: {\n      root: {\n        background: 'rgba(255, 255, 255, 0.06)',\n        animationBackground: 'rgba(255, 255, 255, 0.04)'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  track: {\n    background: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    size: '3px'\n  },\n  range: {\n    background: '{primary.color}'\n  },\n  handle: {\n    width: '20px',\n    height: '20px',\n    borderRadius: '50%',\n    background: '{content.border.color}',\n    hoverBackground: '{content.border.color}',\n    content: {\n      borderRadius: '50%',\n      hoverBackground: '{content.background}',\n      width: '16px',\n      height: '16px',\n      shadow: '0px 0.5px 0px 0px rgba(0, 0, 0, 0.08), 0px 1px 1px 0px rgba(0, 0, 0, 0.14)'\n    },\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  colorScheme: {\n    light: {\n      handle: {\n        contentBackground: '{surface.0}'\n      }\n    },\n    dark: {\n      handle: {\n        contentBackground: '{surface.950}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    gap: '0.5rem',\n    transitionDuration: '{transition.duration}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    borderRadius: '{form.field.border.radius}',\n    roundedBorderRadius: '2rem',\n    raisedShadow: '0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 1px 5px 0 rgba(0, 0, 0, 0.12)'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    color: '{content.color}',\n    transitionDuration: '{transition.duration}'\n  },\n  gutter: {\n    background: '{content.border.color}'\n  },\n  handle: {\n    size: '24px',\n    background: 'transparent',\n    borderRadius: '{content.border.radius}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  separator: {\n    background: '{content.border.color}',\n    activeBackground: '{primary.color}',\n    margin: '0 0 0 1.625rem',\n    size: '2px'\n  },\n  step: {\n    padding: '0.5rem',\n    gap: '1rem'\n  },\n  stepHeader: {\n    padding: '0',\n    borderRadius: '{content.border.radius}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    },\n    gap: '0.5rem'\n  },\n  stepTitle: {\n    color: '{text.muted.color}',\n    activeColor: '{primary.color}',\n    fontWeight: '500'\n  },\n  stepNumber: {\n    background: '{content.background}',\n    activeBackground: '{content.background}',\n    borderColor: '{content.border.color}',\n    activeBorderColor: '{content.border.color}',\n    color: '{text.muted.color}',\n    activeColor: '{primary.color}',\n    size: '2rem',\n    fontSize: '1.143rem',\n    fontWeight: '500',\n    borderRadius: '50%',\n    shadow: '0px 0.5px 0px 0px rgba(0, 0, 0, 0.06), 0px 1px 1px 0px rgba(0, 0, 0, 0.12)'\n  },\n  steppanels: {\n    padding: '0.875rem 0.5rem 1.125rem 0.5rem'\n  },\n  steppanel: {\n    background: '{content.background}',\n    color: '{content.color}',\n    padding: '0 0 0 1rem',\n    last: {\n      padding: '0 0 0 1.625rem'\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  separator: {\n    background: '{content.border.color}'\n  },\n  itemLink: {\n    borderRadius: '{content.border.radius}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    },\n    gap: '0.5rem'\n  },\n  itemLabel: {\n    color: '{text.muted.color}',\n    activeColor: '{primary.color}',\n    fontWeight: '500'\n  },\n  itemNumber: {\n    background: '{content.background}',\n    activeBackground: '{content.background}',\n    borderColor: '{content.border.color}',\n    activeBorderColor: '{content.border.color}',\n    color: '{text.muted.color}',\n    activeColor: '{primary.color}',\n    size: '2rem',\n    fontSize: '1.143rem',\n    fontWeight: '500',\n    borderRadius: '50%',\n    shadow: '0px 0.5px 0px 0px rgba(0, 0, 0, 0.06), 0px 1px 1px 0px rgba(0, 0, 0, 0.12)'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  tablist: {\n    borderWidth: '0 0 1px 0',\n    background: '{content.background}',\n    borderColor: '{content.border.color}'\n  },\n  item: {\n    background: 'transparent',\n    hoverBackground: 'transparent',\n    activeBackground: 'transparent',\n    borderWidth: '0 0 1px 0',\n    borderColor: '{content.border.color}',\n    hoverBorderColor: '{content.border.color}',\n    activeBorderColor: '{primary.color}',\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    activeColor: '{primary.color}',\n    padding: '1rem 1.125rem',\n    fontWeight: '600',\n    margin: '0 0 -1px 0',\n    gap: '0.5rem',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  itemIcon: {\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    activeColor: '{primary.color}'\n  },\n  activeBar: {\n    height: '1px',\n    bottom: '-1px',\n    background: '{primary.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  tablist: {\n    borderWidth: '0 0 1px 0',\n    background: '{content.background}',\n    borderColor: '{content.border.color}'\n  },\n  tab: {\n    background: 'transparent',\n    hoverBackground: 'transparent',\n    activeBackground: 'transparent',\n    borderWidth: '0 0 1px 0',\n    borderColor: '{content.border.color}',\n    hoverBorderColor: '{content.border.color}',\n    activeBorderColor: '{primary.color}',\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    activeColor: '{primary.color}',\n    padding: '1rem 1.125rem',\n    fontWeight: '600',\n    margin: '0 0 -1px 0',\n    gap: '0.5rem',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  tabpanel: {\n    background: '{content.background}',\n    color: '{content.color}',\n    padding: '0.875rem 1.125rem 1.125rem 1.125rem',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: 'inset {focus.ring.shadow}'\n    }\n  },\n  navButton: {\n    background: '{content.background}',\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    width: '2.5rem',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '-1px',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  activeBar: {\n    height: '1px',\n    bottom: '-1px',\n    background: '{primary.color}'\n  },\n  colorScheme: {\n    light: {\n      navButton: {\n        boxShadow: '0px 0px 10px 50px rgba(255, 255, 255, 0.6)'\n      }\n    },\n    dark: {\n      navButton: {\n        boxShadow: '0px 0px 10px 50px color-mix(in srgb, {content.background}, transparent 50%)'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  tabList: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}'\n  },\n  tab: {\n    borderColor: '{content.border.color}',\n    activeBorderColor: '{primary.color}',\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    activeColor: '{primary.color}'\n  },\n  tabPanel: {\n    background: '{content.background}',\n    color: '{content.color}'\n  },\n  navButton: {\n    background: '{content.background}',\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}'\n  },\n  colorScheme: {\n    light: {\n      navButton: {\n        boxShadow: '0px 0px 10px 50px rgba(255, 255, 255, 0.6)'\n      }\n    },\n    dark: {\n      navButton: {\n        boxShadow: '0px 0px 10px 50px color-mix(in srgb, {content.background}, transparent 50%)'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    fontSize: '0.875rem',\n    fontWeight: '700',\n    padding: '0.25rem 0.5rem',\n    gap: '0.25rem',\n    borderRadius: '{content.border.radius}',\n    roundedBorderRadius: '{border.radius.xl}'\n  },\n  icon: {\n    size: '0.75rem'\n  },\n  colorScheme: {\n    light: {\n      primary: {\n        background: '{primary.100}',\n        color: '{primary.700}'\n      },\n      secondary: {\n        background: '{surface.100}',\n        color: '{surface.600}'\n      },\n      success: {\n        background: '{green.100}',\n        color: '{green.700}'\n      },\n      info: {\n        background: '{sky.100}',\n        color: '{sky.700}'\n      },\n      warn: {\n        background: '{orange.100}',\n        color: '{orange.700}'\n      },\n      danger: {\n        background: '{red.100}',\n        color: '{red.700}'\n      },\n      contrast: {\n        background: '{surface.950}',\n        color: '{surface.0}'\n      }\n    },\n    dark: {\n      primary: {\n        background: 'color-mix(in srgb, {primary.500}, transparent 84%)',\n        color: '{primary.300}'\n      },\n      secondary: {\n        background: '{surface.800}',\n        color: '{surface.300}'\n      },\n      success: {\n        background: 'color-mix(in srgb, {green.500}, transparent 84%)',\n        color: '{green.300}'\n      },\n      info: {\n        background: 'color-mix(in srgb, {sky.500}, transparent 84%)',\n        color: '{sky.300}'\n      },\n      warn: {\n        background: 'color-mix(in srgb, {orange.500}, transparent 84%)',\n        color: '{orange.300}'\n      },\n      danger: {\n        background: 'color-mix(in srgb, {red.500}, transparent 84%)',\n        color: '{red.300}'\n      },\n      contrast: {\n        background: '{surface.0}',\n        color: '{surface.950}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{form.field.background}',\n    borderColor: '{form.field.border.color}',\n    color: '{form.field.color}',\n    height: '18rem',\n    padding: '{form.field.padding.y} {form.field.padding.x}',\n    borderRadius: '{form.field.border.radius}'\n  },\n  prompt: {\n    gap: '0.25rem'\n  },\n  commandResponse: {\n    margin: '2px 0'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{form.field.background}',\n    disabledBackground: '{form.field.disabled.background}',\n    filledBackground: '{form.field.filled.background}',\n    filledFocusBackground: '{form.field.filled.focus.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.focus.border.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    color: '{form.field.color}',\n    disabledColor: '{form.field.disabled.color}',\n    placeholderColor: '{form.field.placeholder.color}',\n    shadow: '{form.field.shadow}',\n    paddingX: '{form.field.padding.x}',\n    paddingY: '{form.field.padding.y}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{form.field.focus.ring.width}',\n      style: '{form.field.focus.ring.style}',\n      color: '{form.field.focus.ring.color}',\n      offset: '{form.field.focus.ring.offset}',\n      shadow: '{form.field.focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    color: '{content.color}',\n    borderRadius: '{content.border.radius}',\n    shadow: '{overlay.navigation.shadow}',\n    transitionDuration: '{transition.duration}'\n  },\n  list: {\n    padding: '{navigation.list.padding}',\n    gap: '{navigation.list.gap}'\n  },\n  item: {\n    focusBackground: '{navigation.item.focus.background}',\n    activeBackground: '{navigation.item.active.background}',\n    color: '{navigation.item.color}',\n    focusColor: '{navigation.item.focus.color}',\n    activeColor: '{navigation.item.active.color}',\n    padding: '{navigation.item.padding}',\n    borderRadius: '{navigation.item.border.radius}',\n    gap: '{navigation.item.gap}',\n    icon: {\n      color: '{navigation.item.icon.color}',\n      focusColor: '{navigation.item.icon.focus.color}',\n      activeColor: '{navigation.item.icon.active.color}'\n    }\n  },\n  submenuLabel: {\n    padding: '{navigation.submenu.label.padding}',\n    fontWeight: '{navigation.submenu.label.font.weight}',\n    background: '{navigation.submenu.label.background.}',\n    color: '{navigation.submenu.label.color}'\n  },\n  submenuIcon: {\n    size: '{navigation.submenu.icon.size}',\n    color: '{navigation.submenu.icon.color}',\n    focusColor: '{navigation.submenu.icon.focus.color}',\n    activeColor: '{navigation.submenu.icon.active.color}'\n  },\n  separator: {\n    borderColor: '{content.border.color}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  event: {\n    minHeight: '5rem'\n  },\n  horizontal: {\n    eventContent: {\n      padding: '1rem 0'\n    }\n  },\n  vertical: {\n    eventContent: {\n      padding: '0 1rem'\n    }\n  },\n  eventMarker: {\n    size: '1.125rem',\n    borderRadius: '50%',\n    borderWidth: '2px',\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    content: {\n      borderRadius: '50%',\n      size: '0.375rem',\n      background: '{primary.color}',\n      insetShadow: '0px 0.5px 0px 0px rgba(0, 0, 0, 0.06), 0px 1px 1px 0px rgba(0, 0, 0, 0.12)'\n    }\n  },\n  eventConnector: {\n    color: '{content.border.color}',\n    size: '2px'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    width: '25rem',\n    borderRadius: '{content.border.radius}',\n    borderWidth: '1px',\n    transitionDuration: '{transition.duration}'\n  },\n  icon: {\n    size: '1.125rem'\n  },\n  content: {\n    padding: '{overlay.popover.padding}',\n    gap: '0.5rem'\n  },\n  text: {\n    gap: '0.5rem'\n  },\n  summary: {\n    fontWeight: '500',\n    fontSize: '1rem'\n  },\n  detail: {\n    fontWeight: '500',\n    fontSize: '0.875rem'\n  },\n  closeButton: {\n    width: '1.75rem',\n    height: '1.75rem',\n    borderRadius: '50%',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      offset: '{focus.ring.offset}'\n    }\n  },\n  closeIcon: {\n    size: '1rem'\n  },\n  colorScheme: {\n    light: {\n      blur: '1.5px',\n      info: {\n        background: 'color-mix(in srgb, {blue.50}, transparent 5%)',\n        borderColor: '{blue.200}',\n        color: '{blue.600}',\n        detailColor: '{surface.700}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{blue.100}',\n          focusRing: {\n            color: '{blue.600}',\n            shadow: 'none'\n          }\n        }\n      },\n      success: {\n        background: 'color-mix(in srgb, {green.50}, transparent 5%)',\n        borderColor: '{green.200}',\n        color: '{green.600}',\n        detailColor: '{surface.700}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{green.100}',\n          focusRing: {\n            color: '{green.600}',\n            shadow: 'none'\n          }\n        }\n      },\n      warn: {\n        background: 'color-mix(in srgb,{yellow.50}, transparent 5%)',\n        borderColor: '{yellow.200}',\n        color: '{yellow.600}',\n        detailColor: '{surface.700}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{yellow.100}',\n          focusRing: {\n            color: '{yellow.600}',\n            shadow: 'none'\n          }\n        }\n      },\n      error: {\n        background: 'color-mix(in srgb, {red.50}, transparent 5%)',\n        borderColor: '{red.200}',\n        color: '{red.600}',\n        detailColor: '{surface.700}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{red.100}',\n          focusRing: {\n            color: '{red.600}',\n            shadow: 'none'\n          }\n        }\n      },\n      secondary: {\n        background: '{surface.100}',\n        borderColor: '{surface.200}',\n        color: '{surface.600}',\n        detailColor: '{surface.700}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{surface.200}',\n          focusRing: {\n            color: '{surface.600}',\n            shadow: 'none'\n          }\n        }\n      },\n      contrast: {\n        background: '{surface.900}',\n        borderColor: '{surface.950}',\n        color: '{surface.50}',\n        detailColor: '{surface.0}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{surface.800}',\n          focusRing: {\n            color: '{surface.50}',\n            shadow: 'none'\n          }\n        }\n      }\n    },\n    dark: {\n      blur: '10px',\n      info: {\n        background: 'color-mix(in srgb, {blue.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {blue.700}, transparent 64%)',\n        color: '{blue.500}',\n        detailColor: '{surface.0}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {blue.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: 'rgba(255, 255, 255, 0.05)',\n          focusRing: {\n            color: '{blue.500}',\n            shadow: 'none'\n          }\n        }\n      },\n      success: {\n        background: 'color-mix(in srgb, {green.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {green.700}, transparent 64%)',\n        color: '{green.500}',\n        detailColor: '{surface.0}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {green.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: 'rgba(255, 255, 255, 0.05)',\n          focusRing: {\n            color: '{green.500}',\n            shadow: 'none'\n          }\n        }\n      },\n      warn: {\n        background: 'color-mix(in srgb, {yellow.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {yellow.700}, transparent 64%)',\n        color: '{yellow.500}',\n        detailColor: '{surface.0}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {yellow.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: 'rgba(255, 255, 255, 0.05)',\n          focusRing: {\n            color: '{yellow.500}',\n            shadow: 'none'\n          }\n        }\n      },\n      error: {\n        background: 'color-mix(in srgb, {red.500}, transparent 84%)',\n        borderColor: 'color-mix(in srgb, {red.700}, transparent 64%)',\n        color: '{red.500}',\n        detailColor: '{surface.0}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {red.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: 'rgba(255, 255, 255, 0.05)',\n          focusRing: {\n            color: '{red.500}',\n            shadow: 'none'\n          }\n        }\n      },\n      secondary: {\n        background: '{surface.800}',\n        borderColor: '{surface.700}',\n        color: '{surface.300}',\n        detailColor: '{surface.0}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.500}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{surface.700}',\n          focusRing: {\n            color: '{surface.300}',\n            shadow: 'none'\n          }\n        }\n      },\n      contrast: {\n        background: '{surface.0}',\n        borderColor: '{surface.100}',\n        color: '{surface.950}',\n        detailColor: '{surface.950}',\n        shadow: '0px 4px 8px 0px color-mix(in srgb, {surface.950}, transparent 96%)',\n        closeButton: {\n          hoverBackground: '{surface.100}',\n          focusRing: {\n            color: '{surface.950}',\n            shadow: 'none'\n          }\n        }\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    padding: '0.5rem 1rem',\n    borderRadius: '{content.border.radius}',\n    gap: '0.5rem',\n    fontWeight: '500',\n    disabledBackground: '{form.field.disabled.background}',\n    disabledBorderColor: '{form.field.disabled.background}',\n    disabledColor: '{form.field.disabled.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  icon: {\n    disabledColor: '{form.field.disabled.color}'\n  },\n  content: {\n    left: '0.25rem',\n    top: '0.25rem',\n    checkedShadow: '0px 1px 2px 0px rgba(0, 0, 0, 0.02), 0px 1px 2px 0px rgba(0, 0, 0, 0.04)'\n  },\n  colorScheme: {\n    light: {\n      root: {\n        background: '{surface.100}',\n        checkedBackground: '{surface.100}',\n        hoverBackground: '{surface.100}',\n        borderColor: '{surface.100}',\n        color: '{surface.500}',\n        hoverColor: '{surface.700}',\n        checkedColor: '{surface.900}',\n        checkedBorderColor: '{surface.100}'\n      },\n      content: {\n        checkedBackground: '{surface.0}'\n      },\n      icon: {\n        color: '{surface.500}',\n        hoverColor: '{surface.700}',\n        checkedColor: '{surface.900}'\n      }\n    },\n    dark: {\n      root: {\n        background: '{surface.950}',\n        checkedBackground: '{surface.950}',\n        hoverBackground: '{surface.950}',\n        borderColor: '{surface.950}',\n        color: '{surface.400}',\n        hoverColor: '{surface.300}',\n        checkedColor: '{surface.0}',\n        checkedBorderColor: '{surface.950}'\n      },\n      content: {\n        checkedBackground: '{surface.800}'\n      },\n      icon: {\n        color: '{surface.400}',\n        hoverColor: '{surface.300}',\n        checkedColor: '{surface.0}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    width: '2.5rem',\n    height: '1.5rem',\n    borderRadius: '30px',\n    gap: '0.25rem',\n    shadow: '{form.field.shadow}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    },\n    borderWidth: '1px',\n    borderColor: 'transparent',\n    hoverBorderColor: 'transparent',\n    checkedBorderColor: 'transparent',\n    checkedHoverBorderColor: 'transparent',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    transitionDuration: '{form.field.transition.duration}',\n    slideDuration: '0.2s'\n  },\n  handle: {\n    borderRadius: '50%',\n    size: '1rem'\n  },\n  colorScheme: {\n    light: {\n      root: {\n        background: '{surface.300}',\n        hoverBackground: '{surface.400}',\n        checkedBackground: '{primary.color}',\n        checkedHoverBackground: '{primary.hover.color}'\n      },\n      handle: {\n        background: '{surface.0}',\n        hoverBackground: '{surface.0}',\n        checkedBackground: '{surface.0}',\n        checkedHoverBackground: '{surface.0}'\n      }\n    },\n    dark: {\n      root: {\n        background: '{surface.700}',\n        hoverBackground: '{surface.600}',\n        checkedBackground: '{primary.color}',\n        checkedHoverBackground: '{primary.hover.color}'\n      },\n      handle: {\n        background: '{surface.400}',\n        hoverBackground: '{surface.300}',\n        checkedBackground: '{surface.900}',\n        checkedHoverBackground: '{surface.900}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    borderColor: '{content.border.color}',\n    borderRadius: '{content.border.radius}',\n    color: '{content.color}',\n    gap: '0.5rem',\n    padding: '0.75rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    maxWidth: '12.5rem',\n    gutter: '0.25rem',\n    shadow: '{overlay.popover.shadow}',\n    padding: '0.5rem 0.75rem',\n    borderRadius: '{overlay.popover.border.radius}'\n  },\n  colorScheme: {\n    light: {\n      root: {\n        background: '{surface.700}',\n        color: '{surface.0}'\n      }\n    },\n    dark: {\n      root: {\n        background: '{surface.700}',\n        color: '{surface.0}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{content.background}',\n    color: '{content.color}',\n    padding: '1rem',\n    gap: '2px',\n    indent: '1rem',\n    transitionDuration: '{transition.duration}'\n  },\n  node: {\n    padding: '0.25rem 0.5rem',\n    borderRadius: '{content.border.radius}',\n    hoverBackground: '{content.hover.background}',\n    selectedBackground: '{highlight.background}',\n    color: '{text.color}',\n    hoverColor: '{text.hover.color}',\n    selectedColor: '{highlight.color}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '-1px',\n      shadow: '{focus.ring.shadow}'\n    },\n    gap: '0.25rem'\n  },\n  nodeIcon: {\n    color: '{text.muted.color}',\n    hoverColor: '{text.hover.muted.color}',\n    selectedColor: '{highlight.color}'\n  },\n  nodeToggleButton: {\n    borderRadius: '50%',\n    size: '1.75rem',\n    hoverBackground: '{content.hover.background}',\n    selectedHoverBackground: '{content.background}',\n    color: '{text.muted.color}',\n    hoverColor: '{text.hover.muted.color}',\n    selectedHoverColor: '{primary.color}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  loadingIcon: {\n    size: '2rem'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    background: '{form.field.background}',\n    disabledBackground: '{form.field.disabled.background}',\n    filledBackground: '{form.field.filled.background}',\n    filledFocusBackground: '{form.field.filled.focus.background}',\n    borderColor: '{form.field.border.color}',\n    hoverBorderColor: '{form.field.hover.border.color}',\n    focusBorderColor: '{form.field.focus.border.color}',\n    invalidBorderColor: '{form.field.invalid.border.color}',\n    color: '{form.field.color}',\n    disabledColor: '{form.field.disabled.color}',\n    placeholderColor: '{form.field.placeholder.color}',\n    shadow: '{form.field.shadow}',\n    paddingX: '{form.field.padding.x}',\n    paddingY: '{form.field.padding.y}',\n    borderRadius: '{form.field.border.radius}',\n    focusRing: {\n      width: '{form.field.focus.ring.width}',\n      style: '{form.field.focus.ring.style}',\n      color: '{form.field.focus.ring.color}',\n      offset: '{form.field.focus.ring.offset}',\n      shadow: '{form.field.focus.ring.shadow}'\n    },\n    transitionDuration: '{form.field.transition.duration}'\n  },\n  dropdown: {\n    width: '2.5rem',\n    color: '{form.field.icon.color}'\n  },\n  overlay: {\n    background: '{overlay.select.background}',\n    borderColor: '{overlay.select.border.color}',\n    borderRadius: '{overlay.select.border.radius}',\n    color: '{overlay.select.color}',\n    shadow: '{overlay.select.shadow}'\n  },\n  tree: {\n    padding: '{list.padding}'\n  },\n  emptyMessage: {\n    padding: '{list.option.padding}'\n  },\n  chip: {\n    borderRadius: '{border.radius.sm}'\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","var index = {\n  root: {\n    transitionDuration: '{transition.duration}'\n  },\n  header: {\n    background: '{content.background}',\n    borderColor: '{treetable.border.color}',\n    color: '{content.color}',\n    borderWidth: '0 0 1px 0',\n    padding: '0.75rem 1rem'\n  },\n  headerCell: {\n    background: '{content.background}',\n    hoverBackground: '{content.hover.background}',\n    selectedBackground: '{highlight.background}',\n    borderColor: '{treetable.border.color}',\n    color: '{content.color}',\n    hoverColor: '{content.hover.color}',\n    selectedColor: '{highlight.color}',\n    gap: '0.5rem',\n    padding: '0.75rem 1rem',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '-1px',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  columnTitle: {\n    fontWeight: '600'\n  },\n  row: {\n    background: '{content.background}',\n    hoverBackground: '{content.hover.background}',\n    selectedBackground: '{highlight.background}',\n    color: '{content.color}',\n    hoverColor: '{content.hover.color}',\n    selectedColor: '{highlight.color}',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '-1px',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  bodyCell: {\n    borderColor: '{treetable.border.color}',\n    padding: '0.75rem 1rem',\n    gap: '0.5rem'\n  },\n  footerCell: {\n    background: '{content.background}',\n    borderColor: '{treetable.border.color}',\n    color: '{content.color}',\n    padding: '0.75rem 1rem'\n  },\n  columnFooter: {\n    fontWeight: '600'\n  },\n  footer: {\n    background: '{content.background}',\n    borderColor: '{treetable.border.color}',\n    color: '{content.color}',\n    borderWidth: '0 0 1px 0',\n    padding: '0.75rem 1rem'\n  },\n  columnResizerWidth: '0.5rem',\n  resizeIndicator: {\n    width: '1px',\n    color: '{primary.color}'\n  },\n  sortIcon: {\n    color: '{text.muted.color}',\n    hoverColor: '{text.hover.muted.color}'\n  },\n  loadingIcon: {\n    size: '2rem'\n  },\n  nodeToggleButton: {\n    hoverBackground: '{content.hover.background}',\n    selectedHoverBackground: '{content.background}',\n    color: '{text.muted.color}',\n    hoverColor: '{text.color}',\n    selectedHoverColor: '{primary.color}',\n    size: '1.75rem',\n    borderRadius: '50%',\n    focusRing: {\n      width: '{focus.ring.width}',\n      style: '{focus.ring.style}',\n      color: '{focus.ring.color}',\n      offset: '{focus.ring.offset}',\n      shadow: '{focus.ring.shadow}'\n    }\n  },\n  paginatorTop: {\n    borderColor: '{content.border.color}',\n    borderWidth: '0 0 1px 0'\n  },\n  paginatorBottom: {\n    borderColor: '{content.border.color}',\n    borderWidth: '0 0 1px 0'\n  },\n  colorScheme: {\n    light: {\n      root: {\n        borderColor: '{content.border.color}'\n      },\n      bodyCell: {\n        selectedBorderColor: '{primary.100}'\n      }\n    },\n    dark: {\n      root: {\n        borderColor: '{surface.800}'\n      },\n      bodyCell: {\n        selectedBorderColor: '{primary.900}'\n      }\n    }\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","import accordion from '@primevue/themes/aura/accordion';\nimport autocomplete from '@primevue/themes/aura/autocomplete';\nimport avatar from '@primevue/themes/aura/avatar';\nimport badge from '@primevue/themes/aura/badge';\nimport blockui from '@primevue/themes/aura/blockui';\nimport breadcrumb from '@primevue/themes/aura/breadcrumb';\nimport button from '@primevue/themes/aura/button';\nimport card from '@primevue/themes/aura/card';\nimport carousel from '@primevue/themes/aura/carousel';\nimport cascadeselect from '@primevue/themes/aura/cascadeselect';\nimport checkbox from '@primevue/themes/aura/checkbox';\nimport chip from '@primevue/themes/aura/chip';\nimport colorpicker from '@primevue/themes/aura/colorpicker';\nimport confirmdialog from '@primevue/themes/aura/confirmdialog';\nimport confirmpopup from '@primevue/themes/aura/confirmpopup';\nimport contextmenu from '@primevue/themes/aura/contextmenu';\nimport datatable from '@primevue/themes/aura/datatable';\nimport dataview from '@primevue/themes/aura/dataview';\nimport datepicker from '@primevue/themes/aura/datepicker';\nimport dialog from '@primevue/themes/aura/dialog';\nimport divider from '@primevue/themes/aura/divider';\nimport dock from '@primevue/themes/aura/dock';\nimport drawer from '@primevue/themes/aura/drawer';\nimport editor from '@primevue/themes/aura/editor';\nimport fieldset from '@primevue/themes/aura/fieldset';\nimport fileupload from '@primevue/themes/aura/fileupload';\nimport floatlabel from '@primevue/themes/aura/floatlabel';\nimport galleria from '@primevue/themes/aura/galleria';\nimport iconfield from '@primevue/themes/aura/iconfield';\nimport image from '@primevue/themes/aura/image';\nimport inlinemessage from '@primevue/themes/aura/inlinemessage';\nimport inplace from '@primevue/themes/aura/inplace';\nimport inputchips from '@primevue/themes/aura/inputchips';\nimport inputgroup from '@primevue/themes/aura/inputgroup';\nimport inputnumber from '@primevue/themes/aura/inputnumber';\nimport inputtext from '@primevue/themes/aura/inputtext';\nimport knob from '@primevue/themes/aura/knob';\nimport listbox from '@primevue/themes/aura/listbox';\nimport megamenu from '@primevue/themes/aura/megamenu';\nimport menu from '@primevue/themes/aura/menu';\nimport menubar from '@primevue/themes/aura/menubar';\nimport message from '@primevue/themes/aura/message';\nimport metergroup from '@primevue/themes/aura/metergroup';\nimport multiselect from '@primevue/themes/aura/multiselect';\nimport orderlist from '@primevue/themes/aura/orderlist';\nimport organizationchart from '@primevue/themes/aura/organizationchart';\nimport overlaybadge from '@primevue/themes/aura/overlaybadge';\nimport paginator from '@primevue/themes/aura/paginator';\nimport panel from '@primevue/themes/aura/panel';\nimport panelmenu from '@primevue/themes/aura/panelmenu';\nimport password from '@primevue/themes/aura/password';\nimport picklist from '@primevue/themes/aura/picklist';\nimport popover from '@primevue/themes/aura/popover';\nimport progressbar from '@primevue/themes/aura/progressbar';\nimport progressspinner from '@primevue/themes/aura/progressspinner';\nimport radiobutton from '@primevue/themes/aura/radiobutton';\nimport rating from '@primevue/themes/aura/rating';\nimport ripple from '@primevue/themes/aura/ripple';\nimport scrollpanel from '@primevue/themes/aura/scrollpanel';\nimport select from '@primevue/themes/aura/select';\nimport selectbutton from '@primevue/themes/aura/selectbutton';\nimport skeleton from '@primevue/themes/aura/skeleton';\nimport slider from '@primevue/themes/aura/slider';\nimport speeddial from '@primevue/themes/aura/speeddial';\nimport splitbutton from '@primevue/themes/aura/splitbutton';\nimport splitter from '@primevue/themes/aura/splitter';\nimport stepper from '@primevue/themes/aura/stepper';\nimport steps from '@primevue/themes/aura/steps';\nimport tabmenu from '@primevue/themes/aura/tabmenu';\nimport tabs from '@primevue/themes/aura/tabs';\nimport tabview from '@primevue/themes/aura/tabview';\nimport tag from '@primevue/themes/aura/tag';\nimport terminal from '@primevue/themes/aura/terminal';\nimport textarea from '@primevue/themes/aura/textarea';\nimport tieredmenu from '@primevue/themes/aura/tieredmenu';\nimport timeline from '@primevue/themes/aura/timeline';\nimport toast from '@primevue/themes/aura/toast';\nimport togglebutton from '@primevue/themes/aura/togglebutton';\nimport toggleswitch from '@primevue/themes/aura/toggleswitch';\nimport toolbar from '@primevue/themes/aura/toolbar';\nimport tooltip from '@primevue/themes/aura/tooltip';\nimport tree from '@primevue/themes/aura/tree';\nimport treeselect from '@primevue/themes/aura/treeselect';\nimport treetable from '@primevue/themes/aura/treetable';\n\nvar index = {\n  primitive: {\n    borderRadius: {\n      none: '0',\n      xs: '2px',\n      sm: '4px',\n      md: '6px',\n      lg: '8px',\n      xl: '12px'\n    },\n    emerald: {\n      50: '#ecfdf5',\n      100: '#d1fae5',\n      200: '#a7f3d0',\n      300: '#6ee7b7',\n      400: '#34d399',\n      500: '#10b981',\n      600: '#059669',\n      700: '#047857',\n      800: '#065f46',\n      900: '#064e3b',\n      950: '#022c22'\n    },\n    green: {\n      50: '#f0fdf4',\n      100: '#dcfce7',\n      200: '#bbf7d0',\n      300: '#86efac',\n      400: '#4ade80',\n      500: '#22c55e',\n      600: '#16a34a',\n      700: '#15803d',\n      800: '#166534',\n      900: '#14532d',\n      950: '#052e16'\n    },\n    lime: {\n      50: '#f7fee7',\n      100: '#ecfccb',\n      200: '#d9f99d',\n      300: '#bef264',\n      400: '#a3e635',\n      500: '#84cc16',\n      600: '#65a30d',\n      700: '#4d7c0f',\n      800: '#3f6212',\n      900: '#365314',\n      950: '#1a2e05'\n    },\n    red: {\n      50: '#fef2f2',\n      100: '#fee2e2',\n      200: '#fecaca',\n      300: '#fca5a5',\n      400: '#f87171',\n      500: '#ef4444',\n      600: '#dc2626',\n      700: '#b91c1c',\n      800: '#991b1b',\n      900: '#7f1d1d',\n      950: '#450a0a'\n    },\n    orange: {\n      50: '#fff7ed',\n      100: '#ffedd5',\n      200: '#fed7aa',\n      300: '#fdba74',\n      400: '#fb923c',\n      500: '#f97316',\n      600: '#ea580c',\n      700: '#c2410c',\n      800: '#9a3412',\n      900: '#7c2d12',\n      950: '#431407'\n    },\n    amber: {\n      50: '#fffbeb',\n      100: '#fef3c7',\n      200: '#fde68a',\n      300: '#fcd34d',\n      400: '#fbbf24',\n      500: '#f59e0b',\n      600: '#d97706',\n      700: '#b45309',\n      800: '#92400e',\n      900: '#78350f',\n      950: '#451a03'\n    },\n    yellow: {\n      50: '#fefce8',\n      100: '#fef9c3',\n      200: '#fef08a',\n      300: '#fde047',\n      400: '#facc15',\n      500: '#eab308',\n      600: '#ca8a04',\n      700: '#a16207',\n      800: '#854d0e',\n      900: '#713f12',\n      950: '#422006'\n    },\n    teal: {\n      50: '#f0fdfa',\n      100: '#ccfbf1',\n      200: '#99f6e4',\n      300: '#5eead4',\n      400: '#2dd4bf',\n      500: '#14b8a6',\n      600: '#0d9488',\n      700: '#0f766e',\n      800: '#115e59',\n      900: '#134e4a',\n      950: '#042f2e'\n    },\n    cyan: {\n      50: '#ecfeff',\n      100: '#cffafe',\n      200: '#a5f3fc',\n      300: '#67e8f9',\n      400: '#22d3ee',\n      500: '#06b6d4',\n      600: '#0891b2',\n      700: '#0e7490',\n      800: '#155e75',\n      900: '#164e63',\n      950: '#083344'\n    },\n    sky: {\n      50: '#f0f9ff',\n      100: '#e0f2fe',\n      200: '#bae6fd',\n      300: '#7dd3fc',\n      400: '#38bdf8',\n      500: '#0ea5e9',\n      600: '#0284c7',\n      700: '#0369a1',\n      800: '#075985',\n      900: '#0c4a6e',\n      950: '#082f49'\n    },\n    blue: {\n      50: '#eff6ff',\n      100: '#dbeafe',\n      200: '#bfdbfe',\n      300: '#93c5fd',\n      400: '#60a5fa',\n      500: '#3b82f6',\n      600: '#2563eb',\n      700: '#1d4ed8',\n      800: '#1e40af',\n      900: '#1e3a8a',\n      950: '#172554'\n    },\n    indigo: {\n      50: '#eef2ff',\n      100: '#e0e7ff',\n      200: '#c7d2fe',\n      300: '#a5b4fc',\n      400: '#818cf8',\n      500: '#6366f1',\n      600: '#4f46e5',\n      700: '#4338ca',\n      800: '#3730a3',\n      900: '#312e81',\n      950: '#1e1b4b'\n    },\n    violet: {\n      50: '#f5f3ff',\n      100: '#ede9fe',\n      200: '#ddd6fe',\n      300: '#c4b5fd',\n      400: '#a78bfa',\n      500: '#8b5cf6',\n      600: '#7c3aed',\n      700: '#6d28d9',\n      800: '#5b21b6',\n      900: '#4c1d95',\n      950: '#2e1065'\n    },\n    purple: {\n      50: '#faf5ff',\n      100: '#f3e8ff',\n      200: '#e9d5ff',\n      300: '#d8b4fe',\n      400: '#c084fc',\n      500: '#a855f7',\n      600: '#9333ea',\n      700: '#7e22ce',\n      800: '#6b21a8',\n      900: '#581c87',\n      950: '#3b0764'\n    },\n    fuchsia: {\n      50: '#fdf4ff',\n      100: '#fae8ff',\n      200: '#f5d0fe',\n      300: '#f0abfc',\n      400: '#e879f9',\n      500: '#d946ef',\n      600: '#c026d3',\n      700: '#a21caf',\n      800: '#86198f',\n      900: '#701a75',\n      950: '#4a044e'\n    },\n    pink: {\n      50: '#fdf2f8',\n      100: '#fce7f3',\n      200: '#fbcfe8',\n      300: '#f9a8d4',\n      400: '#f472b6',\n      500: '#ec4899',\n      600: '#db2777',\n      700: '#be185d',\n      800: '#9d174d',\n      900: '#831843',\n      950: '#500724'\n    },\n    rose: {\n      50: '#fff1f2',\n      100: '#ffe4e6',\n      200: '#fecdd3',\n      300: '#fda4af',\n      400: '#fb7185',\n      500: '#f43f5e',\n      600: '#e11d48',\n      700: '#be123c',\n      800: '#9f1239',\n      900: '#881337',\n      950: '#4c0519'\n    },\n    slate: {\n      50: '#f8fafc',\n      100: '#f1f5f9',\n      200: '#e2e8f0',\n      300: '#cbd5e1',\n      400: '#94a3b8',\n      500: '#64748b',\n      600: '#475569',\n      700: '#334155',\n      800: '#1e293b',\n      900: '#0f172a',\n      950: '#020617'\n    },\n    gray: {\n      50: '#f9fafb',\n      100: '#f3f4f6',\n      200: '#e5e7eb',\n      300: '#d1d5db',\n      400: '#9ca3af',\n      500: '#6b7280',\n      600: '#4b5563',\n      700: '#374151',\n      800: '#1f2937',\n      900: '#111827',\n      950: '#030712'\n    },\n    zinc: {\n      50: '#fafafa',\n      100: '#f4f4f5',\n      200: '#e4e4e7',\n      300: '#d4d4d8',\n      400: '#a1a1aa',\n      500: '#71717a',\n      600: '#52525b',\n      700: '#3f3f46',\n      800: '#27272a',\n      900: '#18181b',\n      950: '#09090b'\n    },\n    neutral: {\n      50: '#fafafa',\n      100: '#f5f5f5',\n      200: '#e5e5e5',\n      300: '#d4d4d4',\n      400: '#a3a3a3',\n      500: '#737373',\n      600: '#525252',\n      700: '#404040',\n      800: '#262626',\n      900: '#171717',\n      950: '#0a0a0a'\n    },\n    stone: {\n      50: '#fafaf9',\n      100: '#f5f5f4',\n      200: '#e7e5e4',\n      300: '#d6d3d1',\n      400: '#a8a29e',\n      500: '#78716c',\n      600: '#57534e',\n      700: '#44403c',\n      800: '#292524',\n      900: '#1c1917',\n      950: '#0c0a09'\n    }\n  },\n  semantic: {\n    transitionDuration: '0.2s',\n    focusRing: {\n      width: '1px',\n      style: 'solid',\n      color: '{primary.color}',\n      offset: '2px',\n      shadow: 'none'\n    },\n    disabledOpacity: '0.6',\n    iconSize: '1rem',\n    anchorGutter: '2px',\n    primary: {\n      50: '{emerald.50}',\n      100: '{emerald.100}',\n      200: '{emerald.200}',\n      300: '{emerald.300}',\n      400: '{emerald.400}',\n      500: '{emerald.500}',\n      600: '{emerald.600}',\n      700: '{emerald.700}',\n      800: '{emerald.800}',\n      900: '{emerald.900}',\n      950: '{emerald.950}'\n    },\n    formField: {\n      paddingX: '0.75rem',\n      paddingY: '0.5rem',\n      borderRadius: '{border.radius.md}',\n      focusRing: {\n        width: '0',\n        style: 'none',\n        color: 'transparent',\n        offset: '0',\n        shadow: 'none'\n      },\n      transitionDuration: '{transition.duration}'\n    },\n    list: {\n      padding: '0.25rem 0.25rem',\n      gap: '2px',\n      header: {\n        padding: '0.5rem 0.75rem 0.25rem 0.75rem'\n      },\n      option: {\n        padding: '0.5rem 0.75rem',\n        borderRadius: '{border.radius.sm}'\n      },\n      optionGroup: {\n        padding: '0.5rem 0.75rem',\n        fontWeight: '600'\n      }\n    },\n    content: {\n      borderRadius: '{border.radius.md}'\n    },\n    mask: {\n      transitionDuration: '0.15s'\n    },\n    navigation: {\n      list: {\n        padding: '0.25rem 0.25rem',\n        gap: '2px'\n      },\n      item: {\n        padding: '0.5rem 0.75rem',\n        borderRadius: '{border.radius.sm}',\n        gap: '0.5rem'\n      },\n      submenuLabel: {\n        padding: '0.5rem 0.75rem',\n        fontWeight: '600'\n      },\n      submenuIcon: {\n        size: '0.875rem'\n      }\n    },\n    overlay: {\n      select: {\n        borderRadius: '{border.radius.md}',\n        shadow: '0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -2px rgba(0, 0, 0, 0.1)'\n      },\n      popover: {\n        borderRadius: '{border.radius.md}',\n        padding: '0.75rem',\n        shadow: '0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -2px rgba(0, 0, 0, 0.1)'\n      },\n      modal: {\n        borderRadius: '{border.radius.xl}',\n        padding: '1.25rem',\n        shadow: '0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 8px 10px -6px rgba(0, 0, 0, 0.1)'\n      },\n      navigation: {\n        shadow: '0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -2px rgba(0, 0, 0, 0.1)'\n      }\n    },\n    colorScheme: {\n      light: {\n        surface: {\n          0: '#ffffff',\n          50: '{slate.50}',\n          100: '{slate.100}',\n          200: '{slate.200}',\n          300: '{slate.300}',\n          400: '{slate.400}',\n          500: '{slate.500}',\n          600: '{slate.600}',\n          700: '{slate.700}',\n          800: '{slate.800}',\n          900: '{slate.900}',\n          950: '{slate.950}'\n        },\n        primary: {\n          color: '{primary.500}',\n          contrastColor: '#ffffff',\n          hoverColor: '{primary.600}',\n          activeColor: '{primary.700}'\n        },\n        highlight: {\n          background: '{primary.50}',\n          focusBackground: '{primary.100}',\n          color: '{primary.700}',\n          focusColor: '{primary.800}'\n        },\n        mask: {\n          background: 'rgba(0,0,0,0.4)',\n          color: '{surface.200}'\n        },\n        formField: {\n          background: '{surface.0}',\n          disabledBackground: '{surface.200}',\n          filledBackground: '{surface.50}',\n          filledFocusBackground: '{surface.50}',\n          borderColor: '{surface.300}',\n          hoverBorderColor: '{surface.400}',\n          focusBorderColor: '{primary.color}',\n          invalidBorderColor: '{red.400}',\n          color: '{surface.700}',\n          disabledColor: '{surface.500}',\n          placeholderColor: '{surface.500}',\n          floatLabelColor: '{surface.500}',\n          floatLabelFocusColor: '{surface.500}',\n          floatLabelInvalidColor: '{red.400}',\n          iconColor: '{surface.400}',\n          shadow: '0 0 #0000, 0 0 #0000, 0 1px 2px 0 rgba(18, 18, 23, 0.05)'\n        },\n        text: {\n          color: '{surface.700}',\n          hoverColor: '{surface.800}',\n          mutedColor: '{surface.500}',\n          hoverMutedColor: '{surface.600}'\n        },\n        content: {\n          background: '{surface.0}',\n          hoverBackground: '{surface.100}',\n          borderColor: '{surface.200}',\n          color: '{text.color}',\n          hoverColor: '{text.hover.color}'\n        },\n        overlay: {\n          select: {\n            background: '{surface.0}',\n            borderColor: '{surface.200}',\n            color: '{text.color}'\n          },\n          popover: {\n            background: '{surface.0}',\n            borderColor: '{surface.200}',\n            color: '{text.color}'\n          },\n          modal: {\n            background: '{surface.0}',\n            borderColor: '{surface.200}',\n            color: '{text.color}'\n          }\n        },\n        list: {\n          option: {\n            focusBackground: '{surface.100}',\n            selectedBackground: '{highlight.background}',\n            selectedFocusBackground: '{highlight.focus.background}',\n            color: '{text.color}',\n            focusColor: '{text.hover.color}',\n            selectedColor: '{highlight.color}',\n            selectedFocusColor: '{highlight.focus.color}',\n            icon: {\n              color: '{surface.400}',\n              focusColor: '{surface.500}'\n            }\n          },\n          optionGroup: {\n            background: 'transparent',\n            color: '{text.muted.color}'\n          }\n        },\n        navigation: {\n          item: {\n            focusBackground: '{surface.100}',\n            activeBackground: '{surface.100}',\n            color: '{text.color}',\n            focusColor: '{text.hover.color}',\n            activeColor: '{text.hover.color}',\n            icon: {\n              color: '{surface.400}',\n              focusColor: '{surface.500}',\n              activeColor: '{surface.500}'\n            }\n          },\n          submenuLabel: {\n            background: 'transparent',\n            color: '{text.muted.color}'\n          },\n          submenuIcon: {\n            color: '{surface.400}',\n            focusColor: '{surface.500}',\n            activeColor: '{surface.500}'\n          }\n        }\n      },\n      dark: {\n        surface: {\n          0: '#ffffff',\n          50: '{zinc.50}',\n          100: '{zinc.100}',\n          200: '{zinc.200}',\n          300: '{zinc.300}',\n          400: '{zinc.400}',\n          500: '{zinc.500}',\n          600: '{zinc.600}',\n          700: '{zinc.700}',\n          800: '{zinc.800}',\n          900: '{zinc.900}',\n          950: '{zinc.950}'\n        },\n        primary: {\n          color: '{primary.400}',\n          contrastColor: '{surface.900}',\n          hoverColor: '{primary.300}',\n          activeColor: '{primary.200}'\n        },\n        highlight: {\n          background: 'color-mix(in srgb, {primary.400}, transparent 84%)',\n          focusBackground: 'color-mix(in srgb, {primary.400}, transparent 76%)',\n          color: 'rgba(255,255,255,.87)',\n          focusColor: 'rgba(255,255,255,.87)'\n        },\n        mask: {\n          background: 'rgba(0,0,0,0.6)',\n          color: '{surface.200}'\n        },\n        formField: {\n          background: '{surface.950}',\n          disabledBackground: '{surface.700}',\n          filledBackground: '{surface.800}',\n          filledFocusBackground: '{surface.800}',\n          borderColor: '{surface.700}',\n          hoverBorderColor: '{surface.600}',\n          focusBorderColor: '{primary.color}',\n          invalidBorderColor: '{red.300}',\n          color: '{surface.0}',\n          disabledColor: '{surface.400}',\n          placeholderColor: '{surface.400}',\n          floatLabelColor: '{surface.400}',\n          floatLabelFocusColor: '{surface.400}',\n          floatLabelInvalidColor: '{red.300}',\n          iconColor: '{surface.400}',\n          shadow: '0 0 #0000, 0 0 #0000, 0 1px 2px 0 rgba(18, 18, 23, 0.05)'\n        },\n        text: {\n          color: '{surface.0}',\n          hoverColor: '{surface.0}',\n          mutedColor: '{surface.400}',\n          hoverMutedColor: '{surface.300}'\n        },\n        content: {\n          background: '{surface.900}',\n          hoverBackground: '{surface.800}',\n          borderColor: '{surface.700}',\n          color: '{text.color}',\n          hoverColor: '{text.hover.color}'\n        },\n        overlay: {\n          select: {\n            background: '{surface.900}',\n            borderColor: '{surface.700}',\n            color: '{text.color}'\n          },\n          popover: {\n            background: '{surface.900}',\n            borderColor: '{surface.700}',\n            color: '{text.color}'\n          },\n          modal: {\n            background: '{surface.900}',\n            borderColor: '{surface.700}',\n            color: '{text.color}'\n          }\n        },\n        list: {\n          option: {\n            focusBackground: '{surface.800}',\n            selectedBackground: '{highlight.background}',\n            selectedFocusBackground: '{highlight.focus.background}',\n            color: '{text.color}',\n            focusColor: '{text.hover.color}',\n            selectedColor: '{highlight.color}',\n            selectedFocusColor: '{highlight.focus.color}',\n            icon: {\n              color: '{surface.500}',\n              focusColor: '{surface.400}'\n            }\n          },\n          optionGroup: {\n            background: 'transparent',\n            color: '{text.muted.color}'\n          }\n        },\n        navigation: {\n          item: {\n            focusBackground: '{surface.800}',\n            activeBackground: '{surface.800}',\n            color: '{text.color}',\n            focusColor: '{text.hover.color}',\n            activeColor: '{text.hover.color}',\n            icon: {\n              color: '{surface.500}',\n              focusColor: '{surface.400}',\n              activeColor: '{surface.400}'\n            }\n          },\n          submenuLabel: {\n            background: 'transparent',\n            color: '{text.muted.color}'\n          },\n          submenuIcon: {\n            color: '{surface.500}',\n            focusColor: '{surface.400}',\n            activeColor: '{surface.400}'\n          }\n        }\n      }\n    }\n  },\n  components: {\n    accordion: accordion,\n    autocomplete: autocomplete,\n    avatar: avatar,\n    badge: badge,\n    blockui: blockui,\n    breadcrumb: breadcrumb,\n    button: button,\n    datepicker: datepicker,\n    card: card,\n    carousel: carousel,\n    cascadeselect: cascadeselect,\n    checkbox: checkbox,\n    chip: chip,\n    colorpicker: colorpicker,\n    confirmdialog: confirmdialog,\n    confirmpopup: confirmpopup,\n    contextmenu: contextmenu,\n    dataview: dataview,\n    datatable: datatable,\n    dialog: dialog,\n    divider: divider,\n    dock: dock,\n    drawer: drawer,\n    editor: editor,\n    fieldset: fieldset,\n    fileupload: fileupload,\n    floatlabel: floatlabel,\n    galleria: galleria,\n    iconfield: iconfield,\n    image: image,\n    inlinemessage: inlinemessage,\n    inplace: inplace,\n    inputchips: inputchips,\n    inputgroup: inputgroup,\n    inputnumber: inputnumber,\n    inputtext: inputtext,\n    knob: knob,\n    listbox: listbox,\n    megamenu: megamenu,\n    menu: menu,\n    menubar: menubar,\n    message: message,\n    metergroup: metergroup,\n    multiselect: multiselect,\n    orderlist: orderlist,\n    organizationchart: organizationchart,\n    overlaybadge: overlaybadge,\n    popover: popover,\n    paginator: paginator,\n    password: password,\n    panel: panel,\n    panelmenu: panelmenu,\n    picklist: picklist,\n    progressbar: progressbar,\n    progressspinner: progressspinner,\n    radiobutton: radiobutton,\n    rating: rating,\n    scrollpanel: scrollpanel,\n    select: select,\n    selectbutton: selectbutton,\n    skeleton: skeleton,\n    slider: slider,\n    speeddial: speeddial,\n    splitter: splitter,\n    splitbutton: splitbutton,\n    stepper: stepper,\n    steps: steps,\n    tabmenu: tabmenu,\n    tabs: tabs,\n    tabview: tabview,\n    textarea: textarea,\n    tieredmenu: tieredmenu,\n    tag: tag,\n    terminal: terminal,\n    timeline: timeline,\n    togglebutton: togglebutton,\n    toggleswitch: toggleswitch,\n    tree: tree,\n    treeselect: treeselect,\n    treetable: treetable,\n    toast: toast,\n    toolbar: toolbar\n  },\n  directives: {\n    tooltip: tooltip,\n    ripple: ripple\n  }\n};\n\nexport { index as default };\n//# sourceMappingURL=index.mjs.map\n","function ownKeys$2(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread$2(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys$2(Object(t), !0).forEach(function (r) { _defineProperty$3(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$2(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty$3(e, r, t) { return (r = _toPropertyKey$3(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey$3(t) { var i = _toPrimitive$3(t, \"string\"); return \"symbol\" == _typeof$3(i) ? i : i + \"\"; }\nfunction _toPrimitive$3(t, r) { if (\"object\" != _typeof$3(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof$3(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nfunction _toConsumableArray$2(r) { return _arrayWithoutHoles$2(r) || _iterableToArray$2(r) || _unsupportedIterableToArray$3(r) || _nonIterableSpread$2(); }\nfunction _nonIterableSpread$2() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray$3(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray$3(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$3(r, a) : void 0; } }\nfunction _iterableToArray$2(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles$2(r) { if (Array.isArray(r)) return _arrayLikeToArray$3(r); }\nfunction _arrayLikeToArray$3(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction _typeof$3(o) { \"@babel/helpers - typeof\"; return _typeof$3 = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof$3(o); }\nvar SharedUtils = {\n  object: {\n    isEmpty: function isEmpty(value) {\n      return value === null || value === undefined || value === '' || Array.isArray(value) && value.length === 0 || !(value instanceof Date) && _typeof$3(value) === 'object' && Object.keys(value).length === 0;\n    },\n    isNotEmpty: function isNotEmpty(value) {\n      return !this.isEmpty(value);\n    },\n    isFunction: function isFunction(value) {\n      return !!(value && value.constructor && value.call && value.apply);\n    },\n    isObject: function isObject(value) {\n      var empty = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true;\n      return value instanceof Object && value.constructor === Object && (empty || Object.keys(value).length !== 0);\n    },\n    isArray: function isArray(value) {\n      var empty = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true;\n      return Array.isArray(value) && (empty || value.length !== 0);\n    },\n    isString: function isString(value) {\n      var empty = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true;\n      return typeof value === 'string' && (empty || value !== '');\n    },\n    isNumber: function isNumber(value) {\n      return !isNaN(value);\n    },\n    toFlatCase: function toFlatCase(str) {\n      // convert snake, kebab, camel and pascal cases to flat case\n      return this.isString(str) ? str.replace(/(-|_)/g, '').toLowerCase() : str;\n    },\n    toKebabCase: function toKebabCase(str) {\n      // convert snake, camel and pascal cases to kebab case\n      return this.isString(str) ? str.replace(/(_)/g, '-').replace(/[A-Z]/g, function (c, i) {\n        return i === 0 ? c : '-' + c.toLowerCase();\n      }).toLowerCase() : str;\n    },\n    toTokenKey: function toTokenKey(str) {\n      return this.isString(str) ? str.replace(/[A-Z]/g, function (c, i) {\n        return i === 0 ? c : '.' + c.toLowerCase();\n      }).toLowerCase() : str;\n    },\n    merge: function merge(value1, value2) {\n      if (this.isArray(value1)) {\n        value1.push.apply(value1, _toConsumableArray$2(value2 || []));\n      } else if (this.isObject(value1)) {\n        Object.assign(value1, value2);\n      }\n    },\n    mergeKeysByRegex: function mergeKeysByRegex() {\n      var _this = this;\n      var target = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n      var source = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n      var regex = arguments.length > 2 ? arguments[2] : undefined;\n      var mergedObj = _objectSpread$2({}, target);\n      Object.keys(source).forEach(function (key) {\n        if (_this.test(regex, key)) {\n          if (_this.isObject(source[key]) && key in target && _this.isObject(target[key])) {\n            mergedObj[key] = _this.mergeKeysByRegex(target[key], source[key], regex);\n          } else {\n            mergedObj[key] = source[key];\n          }\n        } else {\n          mergedObj[key] = source[key];\n        }\n      });\n      return mergedObj;\n    },\n    mergeKeys: function mergeKeys() {\n      var _this2 = this;\n      var _mergeKeys = function _mergeKeys() {\n        var target = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n        var source = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n        var mergedObj = _objectSpread$2({}, target);\n        Object.keys(source).forEach(function (key) {\n          if (_this2.isObject(source[key]) && key in target && _this2.isObject(target[key])) {\n            mergedObj[key] = _mergeKeys(target[key], source[key]);\n          } else {\n            mergedObj[key] = source[key];\n          }\n        });\n        return mergedObj;\n      };\n      for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n        args[_key] = arguments[_key];\n      }\n      return args.reduce(function (acc, obj, i) {\n        return i === 0 ? obj : _mergeKeys(acc, obj);\n      }, {});\n    },\n    getItemValue: function getItemValue(obj) {\n      for (var _len2 = arguments.length, params = new Array(_len2 > 1 ? _len2 - 1 : 0), _key2 = 1; _key2 < _len2; _key2++) {\n        params[_key2 - 1] = arguments[_key2];\n      }\n      return this.isFunction(obj) ? obj.apply(void 0, params) : obj;\n    },\n    getOptionValue: function getOptionValue(options) {\n      var _this3 = this;\n      var key = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n      var params = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n      var fKeys = this.toFlatCase(key).split('.');\n      var fKey = fKeys.shift();\n      return fKey ? this.isObject(options) ? this.getOptionValue(this.getItemValue(options[Object.keys(options).find(function (k) {\n        return _this3.toFlatCase(k) === fKey;\n      }) || ''], params), fKeys.join('.'), params) : undefined : this.getItemValue(options, params);\n    },\n    test: function test(regex, str) {\n      if (regex) {\n        var match = regex.test(str);\n        regex.lastIndex = 0;\n        return match;\n      }\n      return false;\n    },\n    toValue: function toValue(value) {\n      // Check for Figma (value-type)\n      return this.isObject(value) && value.hasOwnProperty('value') && value.hasOwnProperty('type') ? value.value : value;\n    },\n    toUnit: function toUnit(value) {\n      var _this4 = this;\n      var variable = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n      var excludedProperties = ['opacity', 'z-index', 'line-height', 'font-weight', 'flex', 'flex-grow', 'flex-shrink', 'order'];\n      if (!excludedProperties.some(function (property) {\n        return variable.endsWith(property);\n      })) {\n        var val = \"\".concat(value).trim();\n        var valArr = val.split(' ');\n        return valArr.map(function (v) {\n          return _this4.isNumber(v) ? \"\".concat(v, \"px\") : v;\n        }).join(' ');\n      }\n      return value;\n    },\n    toNormalizePrefix: function toNormalizePrefix(prefix) {\n      return prefix.replaceAll(/ /g, '').replace(/[^\\w]/g, '-');\n    },\n    toNormalizeVariable: function toNormalizeVariable() {\n      var prefix = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n      var variable = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n      return this.toNormalizePrefix(\"\".concat(this.isString(prefix, false) && this.isString(variable, false) ? \"\".concat(prefix, \"-\") : prefix).concat(variable));\n    },\n    getVariableName: function getVariableName() {\n      var prefix = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n      var variable = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n      return \"--\".concat(this.toNormalizeVariable(prefix, variable));\n    },\n    getVariableValue: function getVariableValue(value) {\n      var _this5 = this;\n      var variable = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n      var prefix = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : '';\n      var excludedKeyRegexes = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : [];\n      var fallback = arguments.length > 4 ? arguments[4] : undefined;\n      if (this.isString(value)) {\n        var regex = /{([^}]*)}/g;\n        var val = value.trim();\n        if (this.test(regex, val)) {\n          var _val = val.replaceAll(regex, function (v) {\n            var path = v.replace(/{|}/g, '');\n            var keys = path.split('.').filter(function (_v) {\n              return !excludedKeyRegexes.some(function (_r) {\n                return _this5.test(_r, _v);\n              });\n            });\n            return \"var(\".concat(_this5.getVariableName(prefix, _this5.toKebabCase(keys.join('-')))).concat(_this5.isNotEmpty(fallback) ? \", \".concat(fallback) : '', \")\");\n          });\n          var calculationRegex = /(\\d+\\s+[\\+\\-\\*\\/]\\s+\\d+)/g;\n          var cleanedVarRegex = /var\\([^)]+\\)/g;\n          return this.test(calculationRegex, _val.replace(cleanedVarRegex, '0')) ? \"calc(\".concat(_val, \")\") : _val;\n        }\n        return this.toUnit(val, variable);\n      } else if (this.isNumber(value)) {\n        return this.toUnit(value, variable);\n      }\n      return undefined;\n    },\n    getComputedValue: function getComputedValue() {\n      var _this6 = this;\n      var obj = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n      var value = arguments.length > 1 ? arguments[1] : undefined;\n      if (this.isString(value)) {\n        var regex = /{([^}]*)}/g;\n        var val = value.trim();\n        return this.test(regex, val) ? val.replaceAll(regex, function (v) {\n          return _this6.getOptionValue(obj, v.replace(/{|}/g, ''));\n        }) : val;\n      } else if (this.isNumber(value)) {\n        return value;\n      }\n      return undefined;\n    },\n    setProperty: function setProperty(properties, key, value) {\n      if (this.isString(key, false)) {\n        properties.push(\"\".concat(key, \":\").concat(value, \";\"));\n      }\n    },\n    getRule: function getRule(selector, properties) {\n      if (selector) {\n        return \"\".concat(selector, \"{\").concat(properties, \"}\");\n      }\n      return '';\n    },\n    minifyCSS: function minifyCSS(css) {\n      return css ? css.replace(/\\/\\*(?:(?!\\*\\/)[\\s\\S])*\\*\\/|[\\r\\n\\t]+/g, '').replace(/ {2,}/g, ' ').replace(/ ([{:}]) /g, '$1').replace(/([;,]) /g, '$1').replace(/ !/g, '!').replace(/: /g, ':') : css;\n    }\n  },\n  dom: {\n    isClient: function isClient() {\n      return !!(typeof window !== 'undefined' && window.document && window.document.createElement);\n    },\n    addClass: function addClass(element, className) {\n      if (element && className && !this.hasClass(element, className)) {\n        if (element.classList) element.classList.add(className);else element.className += ' ' + className;\n      }\n    },\n    removeClass: function removeClass(element, className) {\n      if (element && className) {\n        if (element.classList) element.classList.remove(className);else element.className = element.className.replace(new RegExp('(^|\\\\b)' + className.split(' ').join('|') + '(\\\\b|$)', 'gi'), ' ');\n      }\n    },\n    hasClass: function hasClass(element, className) {\n      if (element) {\n        if (element.classList) return element.classList.contains(className);else return new RegExp('(^| )' + className + '( |$)', 'gi').test(element.className);\n      }\n      return false;\n    },\n    removeMultipleClasses: function removeMultipleClasses(element, classNames) {\n      var _this7 = this;\n      if (element && classNames) {\n        [classNames].flat().filter(Boolean).forEach(function (cNames) {\n          return cNames.split(' ').forEach(function (className) {\n            return _this7.removeClass(element, className);\n          });\n        });\n      }\n    }\n  }\n};\n\nfunction normalizeColor(color) {\n  if (color.length === 4) {\n    color = \"#\".concat(color[1]).concat(color[1]).concat(color[2]).concat(color[2]).concat(color[3]).concat(color[3]);\n  }\n  return color;\n}\nfunction hexToRgb(hex) {\n  var bigint = parseInt(hex.substring(1), 16);\n  var r = bigint >> 16 & 255;\n  var g = bigint >> 8 & 255;\n  var b = bigint & 255;\n  return {\n    r: r,\n    g: g,\n    b: b\n  };\n}\nfunction rgbToHex(r, g, b) {\n  return \"#\".concat(r.toString(16).padStart(2, '0')).concat(g.toString(16).padStart(2, '0')).concat(b.toString(16).padStart(2, '0'));\n}\nvar mix = (function (color1, color2, weight) {\n  color1 = normalizeColor(color1);\n  color2 = normalizeColor(color2);\n  var p = weight / 100;\n  var w = p * 2 - 1;\n  var w1 = (w + 1) / 2.0;\n  var w2 = 1 - w1;\n  var rgb1 = hexToRgb(color1);\n  var rgb2 = hexToRgb(color2);\n  var r = Math.round(rgb1.r * w1 + rgb2.r * w2);\n  var g = Math.round(rgb1.g * w1 + rgb2.g * w2);\n  var b = Math.round(rgb1.b * w1 + rgb2.b * w2);\n  return rgbToHex(r, g, b);\n});\n\nvar shade = (function (color, percent) {\n  return mix('#000000', color, percent);\n});\n\nvar tint = (function (color, percent) {\n  return mix('#ffffff', color, percent);\n});\n\nvar scales = [50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 950];\nvar palette = (function (color) {\n  if (/{([^}]*)}/g.test(color)) {\n    var token = color.replace(/{|}/g, '');\n    return scales.reduce(function (acc, scale) {\n      return acc[scale] = \"{\".concat(token, \".\").concat(scale, \"}\"), acc;\n    }, {});\n  }\n  return typeof color === 'string' ? scales.reduce(function (acc, scale, i) {\n    return acc[scale] = i <= 5 ? tint(color, (5 - i) * 19) : shade(color, (i - 5) * 15), acc;\n  }, {}) : color;\n});\n\nfunction createService() {\n  var allHandlers = new Map();\n  return {\n    on: function on(type, handler) {\n      var handlers = allHandlers.get(type);\n      if (!handlers) handlers = [handler];else handlers.push(handler);\n      allHandlers.set(type, handlers);\n      return this;\n    },\n    off: function off(type, handler) {\n      var handlers = allHandlers.get(type);\n      if (handlers) {\n        handlers.splice(handlers.indexOf(handler) >>> 0, 1);\n      }\n      return this;\n    },\n    emit: function emit(type, evt) {\n      var handlers = allHandlers.get(type);\n      if (handlers) {\n        handlers.slice().map(function (handler) {\n          handler(evt);\n        });\n      }\n    }\n  };\n}\nvar ThemeService = createService();\n\nfunction _typeof$2(o) { \"@babel/helpers - typeof\"; return _typeof$2 = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof$2(o); }\nfunction _toConsumableArray$1(r) { return _arrayWithoutHoles$1(r) || _iterableToArray$1(r) || _unsupportedIterableToArray$2(r) || _nonIterableSpread$1(); }\nfunction _nonIterableSpread$1() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray$2(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray$2(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$2(r, a) : void 0; } }\nfunction _iterableToArray$1(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles$1(r) { if (Array.isArray(r)) return _arrayLikeToArray$2(r); }\nfunction _arrayLikeToArray$2(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction ownKeys$1(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread$1(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys$1(Object(t), !0).forEach(function (r) { _defineProperty$2(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$1(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty$2(e, r, t) { return (r = _toPropertyKey$2(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey$2(t) { var i = _toPrimitive$2(t, \"string\"); return \"symbol\" == _typeof$2(i) ? i : i + \"\"; }\nfunction _toPrimitive$2(t, r) { if (\"object\" != _typeof$2(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof$2(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar Theme = {\n  defaults: {\n    variable: {\n      prefix: 'p',\n      selector: ':root',\n      excludedKeyRegex: /^(primitive|semantic|components|directives|variables|colorscheme|light|dark|common|root|states)$/gi\n    },\n    options: {\n      prefix: 'p',\n      darkModeSelector: 'system',\n      cssLayer: false\n    }\n  },\n  _theme: undefined,\n  _layerNames: new Set(),\n  _loadedStyleNames: new Set(),\n  _loadingStyles: new Set(),\n  _tokens: {},\n  update: function update() {\n    var newValues = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    var theme = newValues.theme;\n    if (theme) {\n      this._theme = _objectSpread$1(_objectSpread$1({}, theme), {}, {\n        options: _objectSpread$1(_objectSpread$1({}, this.defaults.options), theme.options)\n      });\n      this._tokens = ThemeUtils.createTokens(this.preset, this.defaults);\n      this.clearLoadedStyleNames();\n    }\n  },\n  get theme() {\n    return this._theme;\n  },\n  get preset() {\n    var _this$theme;\n    return ((_this$theme = this.theme) === null || _this$theme === void 0 ? void 0 : _this$theme.preset) || {};\n  },\n  get options() {\n    var _this$theme2;\n    return ((_this$theme2 = this.theme) === null || _this$theme2 === void 0 ? void 0 : _this$theme2.options) || {};\n  },\n  get tokens() {\n    return this._tokens;\n  },\n  getTheme: function getTheme() {\n    return this.theme;\n  },\n  setTheme: function setTheme(newValue) {\n    this.update({\n      theme: newValue\n    });\n    ThemeService.emit('theme:change', newValue);\n  },\n  getPreset: function getPreset() {\n    return this.preset;\n  },\n  setPreset: function setPreset(newValue) {\n    this._theme = _objectSpread$1(_objectSpread$1({}, this.theme), {}, {\n      preset: newValue\n    });\n    this._tokens = ThemeUtils.createTokens(newValue, this.defaults);\n    this.clearLoadedStyleNames();\n    ThemeService.emit('preset:change', newValue);\n    ThemeService.emit('theme:change', this.theme);\n  },\n  getOptions: function getOptions() {\n    return this.options;\n  },\n  setOptions: function setOptions(newValue) {\n    this._theme = _objectSpread$1(_objectSpread$1({}, this.theme), {}, {\n      options: newValue\n    });\n    this.clearLoadedStyleNames();\n    ThemeService.emit('options:change', newValue);\n    ThemeService.emit('theme:change', this.theme);\n  },\n  getLayerNames: function getLayerNames() {\n    return _toConsumableArray$1(this._layerNames);\n  },\n  setLayerNames: function setLayerNames(layerName) {\n    this._layerNames.add(layerName);\n  },\n  getLoadedStyleNames: function getLoadedStyleNames() {\n    return this._loadedStyleNames;\n  },\n  isStyleNameLoaded: function isStyleNameLoaded(name) {\n    return this._loadedStyleNames.has(name);\n  },\n  setLoadedStyleName: function setLoadedStyleName(name) {\n    this._loadedStyleNames.add(name);\n  },\n  deleteLoadedStyleName: function deleteLoadedStyleName(name) {\n    this._loadedStyleNames[\"delete\"](name);\n  },\n  clearLoadedStyleNames: function clearLoadedStyleNames() {\n    this._loadedStyleNames.clear();\n  },\n  getTokenValue: function getTokenValue(tokenPath) {\n    return ThemeUtils.getTokenValue(this.tokens, tokenPath, this.defaults);\n  },\n  getCommon: function getCommon() {\n    var name = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n    var params = arguments.length > 1 ? arguments[1] : undefined;\n    return ThemeUtils.getCommon({\n      name: name,\n      theme: this.theme,\n      params: params,\n      defaults: this.defaults,\n      set: {\n        layerNames: this.setLayerNames.bind(this)\n      }\n    });\n  },\n  getComponent: function getComponent() {\n    var name = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n    var params = arguments.length > 1 ? arguments[1] : undefined;\n    var options = {\n      name: name,\n      theme: this.theme,\n      params: params,\n      defaults: this.defaults,\n      set: {\n        layerNames: this.setLayerNames.bind(this)\n      }\n    };\n    return ThemeUtils.getPresetC(options);\n  },\n  getDirective: function getDirective() {\n    var name = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n    var params = arguments.length > 1 ? arguments[1] : undefined;\n    var options = {\n      name: name,\n      theme: this.theme,\n      params: params,\n      defaults: this.defaults,\n      set: {\n        layerNames: this.setLayerNames.bind(this)\n      }\n    };\n    return ThemeUtils.getPresetD(options);\n  },\n  getCustomPreset: function getCustomPreset() {\n    var name = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n    var preset = arguments.length > 1 ? arguments[1] : undefined;\n    var selector = arguments.length > 2 ? arguments[2] : undefined;\n    var params = arguments.length > 3 ? arguments[3] : undefined;\n    var options = {\n      name: name,\n      preset: preset,\n      options: this.options,\n      selector: selector,\n      params: params,\n      defaults: this.defaults,\n      set: {\n        layerNames: this.setLayerNames.bind(this)\n      }\n    };\n    return ThemeUtils.getPreset(options);\n  },\n  getLayerOrderCSS: function getLayerOrderCSS() {\n    var name = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n    return ThemeUtils.getLayerOrder(name, this.options, {\n      names: this.getLayerNames()\n    }, this.defaults);\n  },\n  transformCSS: function transformCSS() {\n    var name = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n    var css = arguments.length > 1 ? arguments[1] : undefined;\n    var type = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 'style';\n    var mode = arguments.length > 3 ? arguments[3] : undefined;\n    return ThemeUtils.transformCSS(name, css, mode, type, this.options, {\n      layerNames: this.setLayerNames.bind(this)\n    }, this.defaults);\n  },\n  getCommonStyleSheet: function getCommonStyleSheet() {\n    var name = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n    var params = arguments.length > 1 ? arguments[1] : undefined;\n    var props = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n    return ThemeUtils.getCommonStyleSheet({\n      name: name,\n      theme: this.theme,\n      params: params,\n      props: props,\n      defaults: this.defaults,\n      set: {\n        layerNames: this.setLayerNames.bind(this)\n      }\n    });\n  },\n  getStyleSheet: function getStyleSheet(name, params) {\n    var props = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n    return ThemeUtils.getStyleSheet({\n      name: name,\n      theme: this.theme,\n      params: params,\n      props: props,\n      defaults: this.defaults,\n      set: {\n        layerNames: this.setLayerNames.bind(this)\n      }\n    });\n  },\n  onStyleMounted: function onStyleMounted(name) {\n    this._loadingStyles.add(name);\n  },\n  onStyleUpdated: function onStyleUpdated(name) {\n    this._loadingStyles.add(name);\n  },\n  onStyleLoaded: function onStyleLoaded(event, _ref) {\n    var name = _ref.name;\n    if (this._loadingStyles.size) {\n      this._loadingStyles[\"delete\"](name);\n      ThemeService.emit(\"theme:\".concat(name, \":load\"), event); // Exp: ThemeService.emit('theme:panel-style:load', event)\n      !this._loadingStyles.size && ThemeService.emit('theme:load');\n    }\n  }\n};\n\nvar $dt = function $dt(tokenPath) {\n  var _variable$match;\n  var theme = Theme.getTheme();\n  var variable = dtwt(theme, tokenPath, undefined, 'variable');\n  var name = (_variable$match = variable.match(/--[\\w-]+/g)) === null || _variable$match === void 0 ? void 0 : _variable$match[0];\n  var value = dtwt(theme, tokenPath, undefined, 'value');\n  return {\n    name: name,\n    variable: variable,\n    value: value\n  };\n};\nvar dt = function dt() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n  return dtwt.apply(void 0, [Theme.getTheme()].concat(args));\n};\nvar dtwt = function dtwt() {\n  var theme = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n  var tokenPath = arguments.length > 1 ? arguments[1] : undefined;\n  var fallback = arguments.length > 2 ? arguments[2] : undefined;\n  var type = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : 'variable';\n  if (tokenPath) {\n    var _ref = Theme.defaults || {},\n      VARIABLE = _ref.variable,\n      OPTIONS = _ref.options;\n    var _ref2 = (theme === null || theme === void 0 ? void 0 : theme.options) || OPTIONS || {},\n      prefix = _ref2.prefix,\n      transform = _ref2.transform;\n    var regex = /{([^}]*)}/g;\n    var token = SharedUtils.object.test(regex, tokenPath) ? tokenPath : \"{\".concat(tokenPath, \"}\");\n    var isStrictTransform = type === 'value' || transform === 'strict'; // @todo - TRANSFORM: strict | lenient(default)\n\n    return isStrictTransform ? Theme.getTokenValue(tokenPath) : SharedUtils.object.getVariableValue(token, undefined, prefix, [VARIABLE.excludedKeyRegex], fallback);\n  }\n  return '';\n};\n\nvar css = function css(style) {\n  return SharedUtils.object.getItemValue(style, {\n    dt: dt\n  });\n};\n\nfunction _typeof$1(o) { \"@babel/helpers - typeof\"; return _typeof$1 = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof$1(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty$1(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty$1(e, r, t) { return (r = _toPropertyKey$1(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey$1(t) { var i = _toPrimitive$1(t, \"string\"); return \"symbol\" == _typeof$1(i) ? i : i + \"\"; }\nfunction _toPrimitive$1(t, r) { if (\"object\" != _typeof$1(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof$1(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar $t = function $t() {\n  var theme = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n  var _preset = theme.preset,\n    _options = theme.options;\n  return {\n    preset: function preset(value) {\n      _preset = _preset ? SharedUtils.object.mergeKeys(_preset, value) : value;\n      return this;\n    },\n    options: function options(value) {\n      _options = _options ? _objectSpread(_objectSpread({}, _options), value) : value;\n      return this;\n    },\n    // features\n    primaryPalette: function primaryPalette(primary) {\n      var _ref = _preset || {},\n        semantic = _ref.semantic;\n      _preset = _objectSpread(_objectSpread({}, _preset), {}, {\n        semantic: _objectSpread(_objectSpread({}, semantic), {}, {\n          primary: primary\n        })\n      });\n      return this;\n    },\n    surfacePalette: function surfacePalette(surface) {\n      var _semantic$colorScheme, _semantic$colorScheme2;\n      var _ref2 = _preset || {},\n        semantic = _ref2.semantic;\n      var lightSurface = surface !== null && surface !== void 0 && surface.hasOwnProperty('light') ? surface === null || surface === void 0 ? void 0 : surface.light : surface;\n      var darkSurface = surface !== null && surface !== void 0 && surface.hasOwnProperty('dark') ? surface === null || surface === void 0 ? void 0 : surface.dark : surface;\n      var newColorScheme = {\n        colorScheme: {\n          light: _objectSpread(_objectSpread({}, semantic === null || semantic === void 0 || (_semantic$colorScheme = semantic.colorScheme) === null || _semantic$colorScheme === void 0 ? void 0 : _semantic$colorScheme.light), !!lightSurface && {\n            surface: lightSurface\n          }),\n          dark: _objectSpread(_objectSpread({}, semantic === null || semantic === void 0 || (_semantic$colorScheme2 = semantic.colorScheme) === null || _semantic$colorScheme2 === void 0 ? void 0 : _semantic$colorScheme2.dark), !!darkSurface && {\n            surface: darkSurface\n          })\n        }\n      };\n      _preset = _objectSpread(_objectSpread({}, _preset), {}, {\n        semantic: _objectSpread(_objectSpread({}, semantic), newColorScheme)\n      });\n      return this;\n    },\n    // actions\n    define: function define() {\n      var _ref3 = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {},\n        _ref3$useDefaultPrese = _ref3.useDefaultPreset,\n        useDefaultPreset = _ref3$useDefaultPrese === void 0 ? false : _ref3$useDefaultPrese,\n        _ref3$useDefaultOptio = _ref3.useDefaultOptions,\n        useDefaultOptions = _ref3$useDefaultOptio === void 0 ? false : _ref3$useDefaultOptio;\n      return {\n        preset: useDefaultPreset ? Theme.getPreset() : _preset,\n        options: useDefaultOptions ? Theme.getOptions() : _options\n      };\n    },\n    update: function update() {\n      var _ref4 = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {},\n        _ref4$mergePresets = _ref4.mergePresets,\n        mergePresets = _ref4$mergePresets === void 0 ? true : _ref4$mergePresets,\n        _ref4$mergeOptions = _ref4.mergeOptions,\n        mergeOptions = _ref4$mergeOptions === void 0 ? true : _ref4$mergeOptions;\n      var newTheme = {\n        preset: mergePresets ? SharedUtils.object.mergeKeys(Theme.getPreset(), _preset) : _preset,\n        options: mergeOptions ? _objectSpread(_objectSpread({}, Theme.getOptions()), _options) : _options\n      };\n      Theme.setTheme(newTheme);\n      return newTheme;\n    },\n    use: function use(options) {\n      var newTheme = this.define(options);\n      Theme.setTheme(newTheme);\n      return newTheme;\n    }\n  };\n};\n\nfunction _slicedToArray$1(r, e) { return _arrayWithHoles$1(r) || _iterableToArrayLimit$1(r, e) || _unsupportedIterableToArray$1(r, e) || _nonIterableRest$1(); }\nfunction _nonIterableRest$1() { throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray$1(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray$1(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$1(r, a) : void 0; } }\nfunction _arrayLikeToArray$1(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction _iterableToArrayLimit$1(r, l) { var t = null == r ? null : \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"]; if (null != t) { var e, n, i, u, a = [], f = !0, o = !1; try { if (i = (t = t.call(r)).next, 0 === l) ; else for (; !(f = (e = i.call(t)).done) && (a.push(e.value), a.length !== l); f = !0); } catch (r) { o = !0, n = r; } finally { try { if (!f && null != t[\"return\"] && (u = t[\"return\"](), Object(u) !== u)) return; } finally { if (o) throw n; } } return a; } }\nfunction _arrayWithHoles$1(r) { if (Array.isArray(r)) return r; }\nfunction toVariables (theme) {\n  var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n  var VARIABLE = Theme.defaults.variable;\n  var _options$prefix = options.prefix,\n    prefix = _options$prefix === void 0 ? VARIABLE.prefix : _options$prefix,\n    _options$selector = options.selector,\n    selector = _options$selector === void 0 ? VARIABLE.selector : _options$selector,\n    _options$excludedKeyR = options.excludedKeyRegex,\n    excludedKeyRegex = _options$excludedKeyR === void 0 ? VARIABLE.excludedKeyRegex : _options$excludedKeyR;\n  var _toVariables = function _toVariables(_theme) {\n    var _prefix = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n    return Object.entries(_theme).reduce(function (acc, _ref) {\n      var _ref2 = _slicedToArray$1(_ref, 2),\n        key = _ref2[0],\n        value = _ref2[1];\n      var px = SharedUtils.object.test(excludedKeyRegex, key) ? SharedUtils.object.toNormalizeVariable(_prefix) : SharedUtils.object.toNormalizeVariable(_prefix, SharedUtils.object.toKebabCase(key));\n      var v = SharedUtils.object.toValue(value);\n      if (SharedUtils.object.isObject(v)) {\n        var _toVariables2 = _toVariables(v, px),\n          _variables = _toVariables2.variables,\n          _tokens = _toVariables2.tokens;\n        SharedUtils.object.merge(acc['tokens'], _tokens);\n        SharedUtils.object.merge(acc['variables'], _variables);\n      } else {\n        acc['tokens'].push((prefix ? px.replace(\"\".concat(prefix, \"-\"), '') : px).replaceAll('-', '.'));\n        SharedUtils.object.setProperty(acc['variables'], SharedUtils.object.getVariableName(px), SharedUtils.object.getVariableValue(v, px, prefix, [excludedKeyRegex]));\n      }\n      return acc;\n    }, {\n      variables: [],\n      tokens: []\n    });\n  };\n  var _toVariables3 = _toVariables(theme, prefix),\n    variables = _toVariables3.variables,\n    tokens = _toVariables3.tokens;\n  return {\n    value: variables,\n    tokens: tokens,\n    declarations: variables.join(''),\n    css: SharedUtils.object.getRule(selector, variables.join(''))\n  };\n}\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nvar _excluded = [\"colorScheme\"],\n  _excluded2 = [\"dark\"],\n  _excluded3 = [\"colorScheme\"],\n  _excluded4 = [\"dark\"],\n  _excluded5 = [\"colorScheme\"];\nfunction _slicedToArray(r, e) { return _arrayWithHoles(r) || _iterableToArrayLimit(r, e) || _unsupportedIterableToArray(r, e) || _nonIterableRest(); }\nfunction _nonIterableRest() { throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _iterableToArrayLimit(r, l) { var t = null == r ? null : \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"]; if (null != t) { var e, n, i, u, a = [], f = !0, o = !1; try { if (i = (t = t.call(r)).next, 0 === l) ; else for (; !(f = (e = i.call(t)).done) && (a.push(e.value), a.length !== l); f = !0); } catch (r) { o = !0, n = r; } finally { try { if (!f && null != t[\"return\"] && (u = t[\"return\"](), Object(u) !== u)) return; } finally { if (o) throw n; } } return a; } }\nfunction _arrayWithHoles(r) { if (Array.isArray(r)) return r; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction _objectWithoutProperties(e, t) { if (null == e) return {}; var o, r, i = _objectWithoutPropertiesLoose(e, t); if (Object.getOwnPropertySymbols) { var n = Object.getOwnPropertySymbols(e); for (r = 0; r < n.length; r++) o = n[r], t.indexOf(o) >= 0 || {}.propertyIsEnumerable.call(e, o) && (i[o] = e[o]); } return i; }\nfunction _objectWithoutPropertiesLoose(r, e) { if (null == r) return {}; var t = {}; for (var n in r) if ({}.hasOwnProperty.call(r, n)) { if (e.indexOf(n) >= 0) continue; t[n] = r[n]; } return t; }\nvar ThemeUtils = {\n  regex: {\n    rules: {\n      \"class\": {\n        pattern: /^\\.([a-zA-Z][\\w-]*)$/,\n        resolve: function resolve(value) {\n          return {\n            type: 'class',\n            selector: value,\n            matched: this.pattern.test(value.trim())\n          };\n        }\n      },\n      attr: {\n        pattern: /^\\[(.*)\\]$/,\n        resolve: function resolve(value) {\n          return {\n            type: 'attr',\n            selector: \":root\".concat(value),\n            matched: this.pattern.test(value.trim())\n          };\n        }\n      },\n      media: {\n        pattern: /^@media (.*)$/,\n        resolve: function resolve(value) {\n          return {\n            type: 'media',\n            selector: \"\".concat(value, \"{:root{[CSS]}}\"),\n            matched: this.pattern.test(value.trim())\n          };\n        }\n      },\n      system: {\n        pattern: /^system$/,\n        resolve: function resolve(value) {\n          return {\n            type: 'system',\n            selector: '@media (prefers-color-scheme: dark){:root{[CSS]}}',\n            matched: this.pattern.test(value.trim())\n          };\n        }\n      },\n      custom: {\n        resolve: function resolve(value) {\n          return {\n            type: 'custom',\n            selector: value,\n            matched: true\n          };\n        }\n      }\n    },\n    resolve: function resolve(value) {\n      var _this = this;\n      var rules = Object.keys(this.rules).filter(function (k) {\n        return k !== 'custom';\n      }).map(function (r) {\n        return _this.rules[r];\n      });\n      return [value].flat().map(function (v) {\n        var _rules$map$find;\n        return (_rules$map$find = rules.map(function (r) {\n          return r.resolve(v);\n        }).find(function (rr) {\n          return rr.matched;\n        })) !== null && _rules$map$find !== void 0 ? _rules$map$find : _this.rules.custom.resolve(v);\n      });\n    }\n  },\n  _toVariables: function _toVariables(theme, options) {\n    return toVariables(theme, {\n      prefix: options === null || options === void 0 ? void 0 : options.prefix\n    });\n  },\n  getCommon: function getCommon(_ref) {\n    var _ref$name = _ref.name,\n      name = _ref$name === void 0 ? '' : _ref$name,\n      _ref$theme = _ref.theme,\n      theme = _ref$theme === void 0 ? {} : _ref$theme;\n      _ref.params;\n      var set = _ref.set,\n      defaults = _ref.defaults;\n    var preset = theme.preset,\n      options = theme.options;\n    var primitive_css, primitive_tokens, semantic_css, semantic_tokens;\n    if (SharedUtils.object.isNotEmpty(preset)) {\n      var _prim_var$declaration, _sRest_var$declaratio, _csRest_var$declarati, _dark_var$declaration;\n      var primitive = preset.primitive,\n        semantic = preset.semantic;\n      var _ref2 = semantic || {},\n        colorScheme = _ref2.colorScheme,\n        sRest = _objectWithoutProperties(_ref2, _excluded);\n      var _ref3 = colorScheme || {},\n        dark = _ref3.dark,\n        csRest = _objectWithoutProperties(_ref3, _excluded2);\n      var prim_var = SharedUtils.object.isNotEmpty(primitive) ? this._toVariables({\n        primitive: primitive\n      }, options) : {};\n      var sRest_var = SharedUtils.object.isNotEmpty(sRest) ? this._toVariables({\n        semantic: sRest\n      }, options) : {};\n      var csRest_var = SharedUtils.object.isNotEmpty(csRest) ? this._toVariables({\n        light: csRest\n      }, options) : {};\n      var dark_var = SharedUtils.object.isNotEmpty(dark) ? this._toVariables({\n        dark: dark\n      }, options) : {};\n      var _ref4 = [(_prim_var$declaration = prim_var.declarations) !== null && _prim_var$declaration !== void 0 ? _prim_var$declaration : '', prim_var.tokens],\n        prim_css = _ref4[0],\n        prim_tokens = _ref4[1];\n      var sRest_css = (_sRest_var$declaratio = sRest_var.declarations) !== null && _sRest_var$declaratio !== void 0 ? _sRest_var$declaratio : '',\n        sRest_tokens = sRest_var.tokens || [];\n      var csRest_css = (_csRest_var$declarati = csRest_var.declarations) !== null && _csRest_var$declarati !== void 0 ? _csRest_var$declarati : '',\n        csRest_tokens = csRest_var.tokens || [];\n      var dark_css = (_dark_var$declaration = dark_var.declarations) !== null && _dark_var$declaration !== void 0 ? _dark_var$declaration : '',\n        dark_tokens = dark_var.tokens || [];\n      primitive_css = this.transformCSS(name, prim_css, 'light', 'variable', options, set, defaults);\n      primitive_tokens = prim_tokens;\n      var semantic_light_css = this.transformCSS(name, \"\".concat(sRest_css).concat(csRest_css, \"color-scheme:light\"), 'light', 'variable', options, set, defaults);\n      var semantic_dark_css = this.transformCSS(name, \"\".concat(dark_css, \"color-scheme:dark\"), 'dark', 'variable', options, set, defaults);\n      semantic_css = \"\".concat(semantic_light_css).concat(semantic_dark_css);\n      semantic_tokens = _toConsumableArray(new Set([].concat(_toConsumableArray(sRest_tokens), _toConsumableArray(csRest_tokens), _toConsumableArray(dark_tokens))));\n    }\n    return {\n      primitive: {\n        css: primitive_css,\n        tokens: primitive_tokens\n      },\n      semantic: {\n        css: semantic_css,\n        tokens: semantic_tokens\n      }\n    };\n  },\n  getPreset: function getPreset(_ref5) {\n    var _vRest_var$declaratio, _csRest_var$declarati2, _dark_var$declaration2;\n    var _ref5$name = _ref5.name,\n      name = _ref5$name === void 0 ? '' : _ref5$name,\n      _ref5$preset = _ref5.preset,\n      preset = _ref5$preset === void 0 ? {} : _ref5$preset,\n      options = _ref5.options;\n      _ref5.params;\n      var set = _ref5.set,\n      defaults = _ref5.defaults,\n      selector = _ref5.selector;\n    var _name = name.replace('-directive', '');\n    var colorScheme = preset.colorScheme,\n      vRest = _objectWithoutProperties(preset, _excluded3);\n    var _ref6 = colorScheme || {},\n      dark = _ref6.dark,\n      csRest = _objectWithoutProperties(_ref6, _excluded4);\n    var vRest_var = SharedUtils.object.isNotEmpty(vRest) ? this._toVariables(_defineProperty({}, _name, vRest), options) : {};\n    var csRest_var = SharedUtils.object.isNotEmpty(csRest) ? this._toVariables(_defineProperty({}, _name, csRest), options) : {};\n    var dark_var = SharedUtils.object.isNotEmpty(dark) ? this._toVariables(_defineProperty({}, _name, dark), options) : {};\n    var vRest_css = (_vRest_var$declaratio = vRest_var.declarations) !== null && _vRest_var$declaratio !== void 0 ? _vRest_var$declaratio : '',\n      vRest_tokens = vRest_var.tokens || [];\n    var csRest_css = (_csRest_var$declarati2 = csRest_var.declarations) !== null && _csRest_var$declarati2 !== void 0 ? _csRest_var$declarati2 : '',\n      csRest_tokens = csRest_var.tokens || [];\n    var dark_css = (_dark_var$declaration2 = dark_var.declarations) !== null && _dark_var$declaration2 !== void 0 ? _dark_var$declaration2 : '',\n      dark_tokens = dark_var.tokens || [];\n    var tokens = _toConsumableArray(new Set([].concat(_toConsumableArray(vRest_tokens), _toConsumableArray(csRest_tokens), _toConsumableArray(dark_tokens))));\n    var light_variable_css = this.transformCSS(_name, \"\".concat(vRest_css).concat(csRest_css), 'light', 'variable', options, set, defaults, selector);\n    var dark_variable_css = this.transformCSS(_name, dark_css, 'dark', 'variable', options, set, defaults, selector);\n    return {\n      css: \"\".concat(light_variable_css).concat(dark_variable_css),\n      tokens: tokens\n    };\n  },\n  getPresetC: function getPresetC(_ref7) {\n    var _preset$components;\n    var _ref7$name = _ref7.name,\n      name = _ref7$name === void 0 ? '' : _ref7$name,\n      _ref7$theme = _ref7.theme,\n      theme = _ref7$theme === void 0 ? {} : _ref7$theme,\n      params = _ref7.params,\n      set = _ref7.set,\n      defaults = _ref7.defaults;\n    var preset = theme.preset,\n      options = theme.options;\n    var cPreset = preset === null || preset === void 0 || (_preset$components = preset.components) === null || _preset$components === void 0 ? void 0 : _preset$components[name];\n    return this.getPreset({\n      name: name,\n      preset: cPreset,\n      options: options,\n      params: params,\n      set: set,\n      defaults: defaults\n    });\n  },\n  getPresetD: function getPresetD(_ref8) {\n    var _preset$directives;\n    var _ref8$name = _ref8.name,\n      name = _ref8$name === void 0 ? '' : _ref8$name,\n      _ref8$theme = _ref8.theme,\n      theme = _ref8$theme === void 0 ? {} : _ref8$theme,\n      params = _ref8.params,\n      set = _ref8.set,\n      defaults = _ref8.defaults;\n    var dName = name.replace('-directive', '');\n    var preset = theme.preset,\n      options = theme.options;\n    var dPreset = preset === null || preset === void 0 || (_preset$directives = preset.directives) === null || _preset$directives === void 0 ? void 0 : _preset$directives[dName];\n    return this.getPreset({\n      name: dName,\n      preset: dPreset,\n      options: options,\n      params: params,\n      set: set,\n      defaults: defaults\n    });\n  },\n  getColorSchemeOption: function getColorSchemeOption(options, defaults) {\n    var _options$darkModeSele;\n    return this.regex.resolve((_options$darkModeSele = options.darkModeSelector) !== null && _options$darkModeSele !== void 0 ? _options$darkModeSele : defaults.options.darkModeSelector);\n  },\n  getLayerOrder: function getLayerOrder(name) {\n    var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    var params = arguments.length > 2 ? arguments[2] : undefined;\n    var cssLayer = options.cssLayer;\n    if (cssLayer) {\n      var order = SharedUtils.object.getItemValue(cssLayer.order || 'primeui', params);\n      return \"@layer \".concat(order);\n    }\n    return '';\n  },\n  getCommonStyleSheet: function getCommonStyleSheet(_ref9) {\n    var _ref9$name = _ref9.name,\n      name = _ref9$name === void 0 ? '' : _ref9$name,\n      _ref9$theme = _ref9.theme,\n      theme = _ref9$theme === void 0 ? {} : _ref9$theme,\n      params = _ref9.params,\n      _ref9$props = _ref9.props,\n      props = _ref9$props === void 0 ? {} : _ref9$props,\n      set = _ref9.set,\n      defaults = _ref9.defaults;\n    var common = this.getCommon({\n      name: name,\n      theme: theme,\n      params: params,\n      set: set,\n      defaults: defaults\n    });\n    var _props = Object.entries(props).reduce(function (acc, _ref10) {\n      var _ref11 = _slicedToArray(_ref10, 2),\n        k = _ref11[0],\n        v = _ref11[1];\n      return acc.push(\"\".concat(k, \"=\\\"\").concat(v, \"\\\"\")) && acc;\n    }, []).join(' ');\n    return Object.entries(common || {}).reduce(function (acc, _ref12) {\n      var _ref13 = _slicedToArray(_ref12, 2),\n        key = _ref13[0],\n        value = _ref13[1];\n      if (value !== null && value !== void 0 && value.css) {\n        var _css = SharedUtils.object.minifyCSS(value === null || value === void 0 ? void 0 : value.css);\n        var id = \"\".concat(key, \"-variables\");\n        acc.push(\"<style type=\\\"text/css\\\" data-primevue-style-id=\\\"\".concat(id, \"\\\" \").concat(_props, \">\").concat(_css, \"</style>\")); // @todo data-primevue -> data-primeui check in primevue usestyle\n      }\n      return acc;\n    }, []).join('');\n  },\n  getStyleSheet: function getStyleSheet(_ref14) {\n    var _ref15;\n    var _ref14$name = _ref14.name,\n      name = _ref14$name === void 0 ? '' : _ref14$name,\n      _ref14$theme = _ref14.theme,\n      theme = _ref14$theme === void 0 ? {} : _ref14$theme,\n      params = _ref14.params,\n      _ref14$props = _ref14.props,\n      props = _ref14$props === void 0 ? {} : _ref14$props,\n      set = _ref14.set,\n      defaults = _ref14.defaults;\n    var options = {\n      name: name,\n      theme: theme,\n      params: params,\n      set: set,\n      defaults: defaults\n    };\n    var preset_css = (_ref15 = name.includes('-directive') ? this.getPresetD(options) : this.getPresetC(options)) === null || _ref15 === void 0 ? void 0 : _ref15.css;\n    var _props = Object.entries(props).reduce(function (acc, _ref16) {\n      var _ref17 = _slicedToArray(_ref16, 2),\n        k = _ref17[0],\n        v = _ref17[1];\n      return acc.push(\"\".concat(k, \"=\\\"\").concat(v, \"\\\"\")) && acc;\n    }, []).join(' ');\n    return preset_css ? \"<style type=\\\"text/css\\\" data-primevue-style-id=\\\"\".concat(name, \"-variables\\\" \").concat(_props, \">\").concat(SharedUtils.object.minifyCSS(preset_css), \"</style>\") : ''; // @todo check\n  },\n  createTokens: function createTokens() {\n    var _this2 = this;\n    var obj = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    var defaults = arguments.length > 1 ? arguments[1] : undefined;\n    var parentKey = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : '';\n    var parentPath = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : '';\n    var tokens = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : {};\n    Object.entries(obj).forEach(function (_ref18) {\n      var _ref19 = _slicedToArray(_ref18, 2),\n        key = _ref19[0],\n        value = _ref19[1];\n      var currentKey = SharedUtils.object.test(defaults.variable.excludedKeyRegex, key) ? parentKey : parentKey ? \"\".concat(parentKey, \".\").concat(SharedUtils.object.toTokenKey(key)) : SharedUtils.object.toTokenKey(key);\n      var currentPath = parentPath ? \"\".concat(parentPath, \".\").concat(key) : key;\n      if (SharedUtils.object.isObject(value)) {\n        _this2.createTokens(value, defaults, currentKey, currentPath, tokens);\n      } else {\n        tokens[currentKey] || (tokens[currentKey] = {\n          paths: [],\n          computed: function computed(colorScheme) {\n            var tokenPathMap = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n            if (colorScheme) {\n              var path = this.paths.find(function (p) {\n                return p.scheme === colorScheme;\n              }) || this.paths.find(function (p) {\n                return p.scheme === 'none';\n              });\n              return path === null || path === void 0 ? void 0 : path.computed(colorScheme, tokenPathMap['binding']);\n            }\n            return this.paths.map(function (p) {\n              return p.computed(p.scheme, tokenPathMap[p.scheme]);\n            });\n          }\n        });\n        tokens[currentKey].paths.push({\n          path: currentPath,\n          value: value,\n          scheme: currentPath.includes('colorScheme.light') ? 'light' : currentPath.includes('colorScheme.dark') ? 'dark' : 'none',\n          computed: function computed(colorScheme) {\n            var _binding;\n            var tokenPathMap = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n            var regex = /{([^}]*)}/g;\n            var computedValue = value;\n            tokenPathMap['name'] = this.path;\n            tokenPathMap[_binding = 'binding'] || (tokenPathMap[_binding] = {});\n            if (SharedUtils.object.test(regex, value)) {\n              var val = value.trim();\n              var _val = val.replaceAll(regex, function (v) {\n                var _tokens$path;\n                var path = v.replace(/{|}/g, '');\n                return (_tokens$path = tokens[path]) === null || _tokens$path === void 0 || (_tokens$path = _tokens$path.computed(colorScheme, tokenPathMap)) === null || _tokens$path === void 0 ? void 0 : _tokens$path.value;\n              });\n              var calculationRegex = /(\\d+\\w*\\s+[\\+\\-\\*\\/]\\s+\\d+\\w*)/g;\n              var cleanedVarRegex = /var\\([^)]+\\)/g;\n              computedValue = SharedUtils.object.test(calculationRegex, _val.replace(cleanedVarRegex, '0')) ? \"calc(\".concat(_val, \")\") : _val;\n            }\n            SharedUtils.object.isEmpty(tokenPathMap['binding']) && delete tokenPathMap['binding'];\n            return {\n              colorScheme: colorScheme,\n              path: this.path,\n              paths: tokenPathMap,\n              value: computedValue.includes('undefined') ? undefined : computedValue\n            };\n          }\n        });\n      }\n    });\n    return tokens;\n  },\n  getTokenValue: function getTokenValue(tokens, path, defaults) {\n    var _tokens$token;\n    var normalizePath = function normalizePath(str) {\n      var strArr = str.split('.');\n      return strArr.filter(function (s) {\n        return !SharedUtils.object.test(defaults.variable.excludedKeyRegex, s.toLowerCase());\n      }).join('.');\n    };\n    var token = normalizePath(path);\n    var colorScheme = path.includes('colorScheme.light') ? 'light' : path.includes('colorScheme.dark') ? 'dark' : undefined;\n    var computedValues = [(_tokens$token = tokens[token]) === null || _tokens$token === void 0 ? void 0 : _tokens$token.computed(colorScheme)].flat().filter(function (computed) {\n      return computed;\n    });\n    return computedValues.length === 1 ? computedValues[0].value : computedValues.reduce(function () {\n      var acc = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n      var computed = arguments.length > 1 ? arguments[1] : undefined;\n      var cs = computed.colorScheme,\n        rest = _objectWithoutProperties(computed, _excluded5);\n      acc[cs] = rest;\n      return acc;\n    }, undefined);\n  },\n  transformCSS: function transformCSS(name, css, mode, type) {\n    var options = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : {};\n    var set = arguments.length > 5 ? arguments[5] : undefined;\n    var defaults = arguments.length > 6 ? arguments[6] : undefined;\n    var selector = arguments.length > 7 ? arguments[7] : undefined;\n    if (SharedUtils.object.isNotEmpty(css)) {\n      var cssLayer = options.cssLayer;\n      if (type !== 'style') {\n        var colorSchemeOption = this.getColorSchemeOption(options, defaults);\n        var _css = selector ? SharedUtils.object.getRule(selector, css) : css;\n        css = mode === 'dark' ? colorSchemeOption.reduce(function (acc, _ref20) {\n          var _selector = _ref20.selector;\n          if (SharedUtils.object.isNotEmpty(_selector)) {\n            acc += _selector.includes('[CSS]') ? _selector.replace('[CSS]', _css) : SharedUtils.object.getRule(_selector, _css);\n          }\n          return acc;\n        }, '') : SharedUtils.object.getRule(selector !== null && selector !== void 0 ? selector : ':root', css);\n      }\n      if (cssLayer) {\n        var layerOptions = {\n          name: 'primeui',\n          order: 'primeui'\n        };\n        SharedUtils.object.isObject(cssLayer) && (layerOptions.name = SharedUtils.object.getItemValue(cssLayer.name, {\n          name: name,\n          type: type\n        }));\n        if (SharedUtils.object.isNotEmpty(layerOptions.name)) {\n          css = SharedUtils.object.getRule(\"@layer \".concat(layerOptions.name), css);\n          set === null || set === void 0 || set.layerNames(layerOptions.name);\n        }\n      }\n      return css;\n    }\n    return '';\n  }\n};\n\nvar definePreset = (function () {\n  var _SharedUtils$object;\n  return (_SharedUtils$object = SharedUtils.object).mergeKeys.apply(_SharedUtils$object, arguments);\n});\n\nvar updatePreset = (function () {\n  var _SharedUtils$object;\n  for (var _len = arguments.length, presets = new Array(_len), _key = 0; _key < _len; _key++) {\n    presets[_key] = arguments[_key];\n  }\n  var newPreset = (_SharedUtils$object = SharedUtils.object).mergeKeys.apply(_SharedUtils$object, [Theme.getPreset()].concat(presets));\n  Theme.setPreset(newPreset);\n  return newPreset;\n});\n\nvar updatePrimaryPalette = (function (primary) {\n  return $t().primaryPalette(primary).update().preset;\n});\n\nvar updateSurfacePalette = (function (surface) {\n  return $t().surfacePalette(surface).update().preset;\n});\n\nvar usePreset = (function () {\n  var _SharedUtils$object;\n  var newPreset = (_SharedUtils$object = SharedUtils.object).mergeKeys.apply(_SharedUtils$object, arguments);\n  Theme.setPreset(newPreset);\n  return newPreset;\n});\n\nvar useTheme = (function (theme) {\n  return $t(theme).update({\n    mergePresets: false\n  });\n});\n\nexport { $dt, $t, SharedUtils, Theme, ThemeService, ThemeUtils, css, definePreset, dt, dtwt, mix, palette, shade, tint, toVariables, updatePreset, updatePrimaryPalette, updateSurfacePalette, usePreset, useTheme };\n//# sourceMappingURL=index.mjs.map\n","import { EventBus } from '@primeuix/utils/eventbus';\n\nvar ConfirmationEventBus = EventBus();\n\nexport { ConfirmationEventBus as default };\n//# sourceMappingURL=index.mjs.map\n","import { inject } from 'vue';\n\nvar PrimeVueConfirmSymbol = Symbol();\nfunction useConfirm() {\n  var PrimeVueConfirm = inject(PrimeVueConfirmSymbol);\n  if (!PrimeVueConfirm) {\n    throw new Error('No PrimeVue Confirmation provided!');\n  }\n  return PrimeVueConfirm;\n}\n\nexport { PrimeVueConfirmSymbol, useConfirm };\n//# sourceMappingURL=index.mjs.map\n","import ConfirmationEventBus from 'primevue/confirmationeventbus';\nimport { PrimeVueConfirmSymbol } from 'primevue/useconfirm';\n\nvar ConfirmationService = {\n  install: function install(app) {\n    var ConfirmationService = {\n      require: function require(options) {\n        ConfirmationEventBus.emit('confirm', options);\n      },\n      close: function close() {\n        ConfirmationEventBus.emit('close');\n      }\n    };\n    app.config.globalProperties.$confirm = ConfirmationService;\n    app.provide(PrimeVueConfirmSymbol, ConfirmationService);\n  }\n};\n\nexport { ConfirmationService as default };\n//# sourceMappingURL=index.mjs.map\n","import { EventBus } from '@primeuix/utils/eventbus';\n\nvar ToastEventBus = EventBus();\n\nexport { ToastEventBus as default };\n//# sourceMappingURL=index.mjs.map\n","import { inject } from 'vue';\n\nvar PrimeVueToastSymbol = Symbol();\nfunction useToast() {\n  var PrimeVueToast = inject(PrimeVueToastSymbol);\n  if (!PrimeVueToast) {\n    throw new Error('No PrimeVue Toast provided!');\n  }\n  return PrimeVueToast;\n}\n\nexport { PrimeVueToastSymbol, useToast };\n//# sourceMappingURL=index.mjs.map\n","import ToastEventBus from 'primevue/toasteventbus';\nimport { PrimeVueToastSymbol } from 'primevue/usetoast';\n\nvar ToastService = {\n  install: function install(app) {\n    var ToastService = {\n      add: function add(message) {\n        ToastEventBus.emit('add', message);\n      },\n      remove: function remove(message) {\n        ToastEventBus.emit('remove', message);\n      },\n      removeGroup: function removeGroup(group) {\n        ToastEventBus.emit('remove-group', group);\n      },\n      removeAllGroups: function removeAllGroups() {\n        ToastEventBus.emit('remove-all-groups');\n      }\n    };\n    app.config.globalProperties.$toast = ToastService;\n    app.provide(PrimeVueToastSymbol, ToastService);\n  }\n};\n\nexport { ToastService as default };\n//# sourceMappingURL=index.mjs.map\n","// src/zindex/index.ts\nfunction handler() {\n  let zIndexes = [];\n  const generateZIndex = (key, autoZIndex, baseZIndex = 999) => {\n    const lastZIndex = getLastZIndex(key, autoZIndex, baseZIndex);\n    const newZIndex = lastZIndex.value + (lastZIndex.key === key ? 0 : baseZIndex) + 1;\n    zIndexes.push({ key, value: newZIndex });\n    return newZIndex;\n  };\n  const revertZIndex = (zIndex) => {\n    zIndexes = zIndexes.filter((obj) => obj.value !== zIndex);\n  };\n  const getCurrentZIndex = (key, autoZIndex) => {\n    return getLastZIndex(key, autoZIndex).value;\n  };\n  const getLastZIndex = (key, autoZIndex, baseZIndex = 0) => {\n    return [...zIndexes].reverse().find((obj) => autoZIndex ? true : obj.key === key) || { key, value: baseZIndex };\n  };\n  const getZIndex = (element) => {\n    return element ? parseInt(element.style.zIndex, 10) || 0 : 0;\n  };\n  return {\n    get: getZIndex,\n    set: (key, element, baseZIndex) => {\n      if (element) {\n        element.style.zIndex = String(generateZIndex(key, true, baseZIndex));\n      }\n    },\n    clear: (element) => {\n      if (element) {\n        revertZIndex(getZIndex(element));\n        element.style.zIndex = \"\";\n      }\n    },\n    getCurrent: (key) => getCurrentZIndex(key, true)\n  };\n}\nvar ZIndex = handler();\nexport {\n  ZIndex\n};\n//# sourceMappingURL=index.mjs.map","// src/uuid/index.ts\nvar lastIds = {};\nfunction uuid(prefix = \"pui_id_\") {\n  if (!lastIds.hasOwnProperty(prefix)) {\n    lastIds[prefix] = 0;\n  }\n  lastIds[prefix]++;\n  return `${prefix}${lastIds[prefix]}`;\n}\nexport {\n  uuid\n};\n//# sourceMappingURL=index.mjs.map","export * from '@primeuix/utils';\nimport { getScrollableParents } from '@primeuix/utils/dom';\nimport { isNotEmpty } from '@primeuix/utils/object';\nimport { uuid } from '@primeuix/utils/uuid';\n\nfunction _typeof$1(o) { \"@babel/helpers - typeof\"; return _typeof$1 = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof$1(o); }\nfunction _classCallCheck$1(a, n) { if (!(a instanceof n)) throw new TypeError(\"Cannot call a class as a function\"); }\nfunction _defineProperties$1(e, r) { for (var t = 0; t < r.length; t++) { var o = r[t]; o.enumerable = o.enumerable || !1, o.configurable = !0, \"value\" in o && (o.writable = !0), Object.defineProperty(e, _toPropertyKey$1(o.key), o); } }\nfunction _createClass$1(e, r, t) { return r && _defineProperties$1(e.prototype, r), Object.defineProperty(e, \"prototype\", { writable: !1 }), e; }\nfunction _toPropertyKey$1(t) { var i = _toPrimitive$1(t, \"string\"); return \"symbol\" == _typeof$1(i) ? i : i + \"\"; }\nfunction _toPrimitive$1(t, r) { if (\"object\" != _typeof$1(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r ); if (\"object\" != _typeof$1(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (String )(t); }\nvar ConnectedOverlayScrollHandler = /*#__PURE__*/function () {\n  function ConnectedOverlayScrollHandler(element) {\n    var listener = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : function () {};\n    _classCallCheck$1(this, ConnectedOverlayScrollHandler);\n    this.element = element;\n    this.listener = listener;\n  }\n  return _createClass$1(ConnectedOverlayScrollHandler, [{\n    key: \"bindScrollListener\",\n    value: function bindScrollListener() {\n      this.scrollableParents = getScrollableParents(this.element);\n      for (var i = 0; i < this.scrollableParents.length; i++) {\n        this.scrollableParents[i].addEventListener('scroll', this.listener);\n      }\n    }\n  }, {\n    key: \"unbindScrollListener\",\n    value: function unbindScrollListener() {\n      if (this.scrollableParents) {\n        for (var i = 0; i < this.scrollableParents.length; i++) {\n          this.scrollableParents[i].removeEventListener('scroll', this.listener);\n        }\n      }\n    }\n  }, {\n    key: \"destroy\",\n    value: function destroy() {\n      this.unbindScrollListener();\n      this.element = null;\n      this.listener = null;\n      this.scrollableParents = null;\n    }\n  }]);\n}();\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction _classCallCheck(a, n) { if (!(a instanceof n)) throw new TypeError(\"Cannot call a class as a function\"); }\nfunction _defineProperties(e, r) { for (var t = 0; t < r.length; t++) { var o = r[t]; o.enumerable = o.enumerable || !1, o.configurable = !0, \"value\" in o && (o.writable = !0), Object.defineProperty(e, _toPropertyKey(o.key), o); } }\nfunction _createClass(e, r, t) { return r && _defineProperties(e.prototype, r), Object.defineProperty(e, \"prototype\", { writable: !1 }), e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r ); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (String )(t); }\nvar _default = /*#__PURE__*/function () {\n  function _default(_ref) {\n    var init = _ref.init,\n      type = _ref.type;\n    _classCallCheck(this, _default);\n    _defineProperty(this, \"helpers\", void 0);\n    _defineProperty(this, \"type\", void 0);\n    this.helpers = new Set(init);\n    this.type = type;\n  }\n  return _createClass(_default, [{\n    key: \"add\",\n    value: function add(instance) {\n      this.helpers.add(instance);\n    }\n  }, {\n    key: \"update\",\n    value: function update() {\n      // @todo\n    }\n  }, {\n    key: \"delete\",\n    value: function _delete(instance) {\n      this.helpers[\"delete\"](instance);\n    }\n  }, {\n    key: \"clear\",\n    value: function clear() {\n      this.helpers.clear();\n    }\n  }, {\n    key: \"get\",\n    value: function get(parentInstance, slots) {\n      var children = this._get(parentInstance, slots);\n      var computed = children ? this._recursive(_toConsumableArray(this.helpers), children) : null;\n      return isNotEmpty(computed) ? computed : null;\n    }\n  }, {\n    key: \"_isMatched\",\n    value: function _isMatched(instance, key) {\n      var _parent$vnode;\n      var parent = instance === null || instance === void 0 ? void 0 : instance.parent;\n      return (parent === null || parent === void 0 || (_parent$vnode = parent.vnode) === null || _parent$vnode === void 0 ? void 0 : _parent$vnode.key) === key || parent && this._isMatched(parent, key) || false;\n    }\n  }, {\n    key: \"_get\",\n    value: function _get(parentInstance, slots) {\n      var _ref2, _ref2$default;\n      return ((_ref2 = slots || (parentInstance === null || parentInstance === void 0 ? void 0 : parentInstance.$slots)) === null || _ref2 === void 0 || (_ref2$default = _ref2[\"default\"]) === null || _ref2$default === void 0 ? void 0 : _ref2$default.call(_ref2)) || null;\n    }\n  }, {\n    key: \"_recursive\",\n    value: function _recursive() {\n      var _this = this;\n      var helpers = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : [];\n      var children = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : [];\n      var components = [];\n      children.forEach(function (child) {\n        if (child.children instanceof Array) {\n          components = components.concat(_this._recursive(components, child.children));\n        } else if (child.type.name === _this.type) {\n          components.push(child);\n        } else if (isNotEmpty(child.key)) {\n          components = components.concat(helpers.filter(function (c) {\n            return _this._isMatched(c, child.key);\n          }).map(function (c) {\n            return c.vnode;\n          }));\n        }\n      });\n      return components;\n    }\n  }]);\n}();\n\nfunction UniqueComponentId () {\n  var prefix = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 'pv_id_';\n  return uuid(prefix);\n}\n\nfunction getVNodeProp(vnode, prop) {\n  if (vnode) {\n    var props = vnode.props;\n    if (props) {\n      var kebabProp = prop.replace(/([a-z])([A-Z])/g, '$1-$2').toLowerCase();\n      var propName = Object.prototype.hasOwnProperty.call(props, kebabProp) ? kebabProp : prop;\n      return vnode.type[\"extends\"].props[prop].type === Boolean && props[propName] === '' ? true : props[propName];\n    }\n  }\n  return null;\n}\n\nexport { ConnectedOverlayScrollHandler, _default as HelperSet, UniqueComponentId, getVNodeProp };\n//# sourceMappingURL=index.mjs.map\n","var Base = {\n  _loadedStyleNames: new Set(),\n  getLoadedStyleNames: function getLoadedStyleNames() {\n    return this._loadedStyleNames;\n  },\n  isStyleNameLoaded: function isStyleNameLoaded(name) {\n    return this._loadedStyleNames.has(name);\n  },\n  setLoadedStyleName: function setLoadedStyleName(name) {\n    this._loadedStyleNames.add(name);\n  },\n  deleteLoadedStyleName: function deleteLoadedStyleName(name) {\n    this._loadedStyleNames[\"delete\"](name);\n  },\n  clearLoadedStyleNames: function clearLoadedStyleNames() {\n    this._loadedStyleNames.clear();\n  }\n};\n\nexport { Base as default };\n//# sourceMappingURL=index.mjs.map\n","import { Theme, ThemeService } from '@primeuix/styled';\nimport { isObject, resolve, getKeyValue, toFlatCase, isString, toCapitalCase, isFunction, isArray, isEmpty } from '@primeuix/utils/object';\nimport Base from '@primevue/core/base';\nimport BaseStyle from '@primevue/core/base/style';\nimport PrimeVueService from '@primevue/core/service';\nimport { UniqueComponentId } from '@primevue/core/utils';\nimport { mergeProps } from 'vue';\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction _slicedToArray(r, e) { return _arrayWithHoles(r) || _iterableToArrayLimit(r, e) || _unsupportedIterableToArray(r, e) || _nonIterableRest(); }\nfunction _nonIterableRest() { throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction _iterableToArrayLimit(r, l) { var t = null == r ? null : \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"]; if (null != t) { var e, n, i, u, a = [], f = !0, o = !1; try { if (i = (t = t.call(r)).next, 0 === l) ; else for (; !(f = (e = i.call(t)).done) && (a.push(e.value), a.length !== l); f = !0); } catch (r) { o = !0, n = r; } finally { try { if (!f && null != t[\"return\"] && (u = t[\"return\"](), Object(u) !== u)) return; } finally { if (o) throw n; } } return a; } }\nfunction _arrayWithHoles(r) { if (Array.isArray(r)) return r; }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar BaseDirective = {\n  _getMeta: function _getMeta() {\n    return [isObject(arguments.length <= 0 ? undefined : arguments[0]) ? undefined : arguments.length <= 0 ? undefined : arguments[0], resolve(isObject(arguments.length <= 0 ? undefined : arguments[0]) ? arguments.length <= 0 ? undefined : arguments[0] : arguments.length <= 1 ? undefined : arguments[1])];\n  },\n  _getConfig: function _getConfig(binding, vnode) {\n    var _ref, _binding$instance, _vnode$ctx;\n    return (_ref = (binding === null || binding === void 0 || (_binding$instance = binding.instance) === null || _binding$instance === void 0 ? void 0 : _binding$instance.$primevue) || (vnode === null || vnode === void 0 || (_vnode$ctx = vnode.ctx) === null || _vnode$ctx === void 0 || (_vnode$ctx = _vnode$ctx.appContext) === null || _vnode$ctx === void 0 || (_vnode$ctx = _vnode$ctx.config) === null || _vnode$ctx === void 0 || (_vnode$ctx = _vnode$ctx.globalProperties) === null || _vnode$ctx === void 0 ? void 0 : _vnode$ctx.$primevue)) === null || _ref === void 0 ? void 0 : _ref.config;\n  },\n  _getOptionValue: getKeyValue,\n  _getPTValue: function _getPTValue() {\n    var _instance$binding, _instance$$primevueCo;\n    var instance = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    var obj = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    var key = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : '';\n    var params = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : {};\n    var searchInDefaultPT = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : true;\n    var getValue = function getValue() {\n      var value = BaseDirective._getOptionValue.apply(BaseDirective, arguments);\n      return isString(value) || isArray(value) ? {\n        \"class\": value\n      } : value;\n    };\n    var _ref2 = ((_instance$binding = instance.binding) === null || _instance$binding === void 0 || (_instance$binding = _instance$binding.value) === null || _instance$binding === void 0 ? void 0 : _instance$binding.ptOptions) || ((_instance$$primevueCo = instance.$primevueConfig) === null || _instance$$primevueCo === void 0 ? void 0 : _instance$$primevueCo.ptOptions) || {},\n      _ref2$mergeSections = _ref2.mergeSections,\n      mergeSections = _ref2$mergeSections === void 0 ? true : _ref2$mergeSections,\n      _ref2$mergeProps = _ref2.mergeProps,\n      useMergeProps = _ref2$mergeProps === void 0 ? false : _ref2$mergeProps;\n    var global = searchInDefaultPT ? BaseDirective._useDefaultPT(instance, instance.defaultPT(), getValue, key, params) : undefined;\n    var self = BaseDirective._usePT(instance, BaseDirective._getPT(obj, instance.$name), getValue, key, _objectSpread(_objectSpread({}, params), {}, {\n      global: global || {}\n    }));\n    var datasets = BaseDirective._getPTDatasets(instance, key);\n    return mergeSections || !mergeSections && self ? useMergeProps ? BaseDirective._mergeProps(instance, useMergeProps, global, self, datasets) : _objectSpread(_objectSpread(_objectSpread({}, global), self), datasets) : _objectSpread(_objectSpread({}, self), datasets);\n  },\n  _getPTDatasets: function _getPTDatasets() {\n    var instance = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    var key = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n    var datasetPrefix = 'data-pc-';\n    return _objectSpread(_objectSpread({}, key === 'root' && _defineProperty({}, \"\".concat(datasetPrefix, \"name\"), toFlatCase(instance.$name))), {}, _defineProperty({}, \"\".concat(datasetPrefix, \"section\"), toFlatCase(key)));\n  },\n  _getPT: function _getPT(pt) {\n    var key = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n    var callback = arguments.length > 2 ? arguments[2] : undefined;\n    var getValue = function getValue(value) {\n      var _computedValue$_key;\n      var computedValue = callback ? callback(value) : value;\n      var _key = toFlatCase(key);\n      return (_computedValue$_key = computedValue === null || computedValue === void 0 ? void 0 : computedValue[_key]) !== null && _computedValue$_key !== void 0 ? _computedValue$_key : computedValue;\n    };\n    return pt !== null && pt !== void 0 && pt.hasOwnProperty('_usept') ? {\n      _usept: pt['_usept'],\n      originalValue: getValue(pt.originalValue),\n      value: getValue(pt.value)\n    } : getValue(pt);\n  },\n  _usePT: function _usePT() {\n    var instance = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    var pt = arguments.length > 1 ? arguments[1] : undefined;\n    var callback = arguments.length > 2 ? arguments[2] : undefined;\n    var key = arguments.length > 3 ? arguments[3] : undefined;\n    var params = arguments.length > 4 ? arguments[4] : undefined;\n    var fn = function fn(value) {\n      return callback(value, key, params);\n    };\n    if (pt !== null && pt !== void 0 && pt.hasOwnProperty('_usept')) {\n      var _instance$$primevueCo2;\n      var _ref4 = pt['_usept'] || ((_instance$$primevueCo2 = instance.$primevueConfig) === null || _instance$$primevueCo2 === void 0 ? void 0 : _instance$$primevueCo2.ptOptions) || {},\n        _ref4$mergeSections = _ref4.mergeSections,\n        mergeSections = _ref4$mergeSections === void 0 ? true : _ref4$mergeSections,\n        _ref4$mergeProps = _ref4.mergeProps,\n        useMergeProps = _ref4$mergeProps === void 0 ? false : _ref4$mergeProps;\n      var originalValue = fn(pt.originalValue);\n      var value = fn(pt.value);\n      if (originalValue === undefined && value === undefined) return undefined;else if (isString(value)) return value;else if (isString(originalValue)) return originalValue;\n      return mergeSections || !mergeSections && value ? useMergeProps ? BaseDirective._mergeProps(instance, useMergeProps, originalValue, value) : _objectSpread(_objectSpread({}, originalValue), value) : value;\n    }\n    return fn(pt);\n  },\n  _useDefaultPT: function _useDefaultPT() {\n    var instance = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    var defaultPT = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    var callback = arguments.length > 2 ? arguments[2] : undefined;\n    var key = arguments.length > 3 ? arguments[3] : undefined;\n    var params = arguments.length > 4 ? arguments[4] : undefined;\n    return BaseDirective._usePT(instance, defaultPT, callback, key, params);\n  },\n  _loadStyles: function _loadStyles(el, binding, vnode) {\n    var _config$csp;\n    var config = BaseDirective._getConfig(binding, vnode);\n    var useStyleOptions = {\n      nonce: config === null || config === void 0 || (_config$csp = config.csp) === null || _config$csp === void 0 ? void 0 : _config$csp.nonce\n    };\n    BaseDirective._loadCoreStyles(el.$instance, useStyleOptions);\n    BaseDirective._loadThemeStyles(el.$instance, useStyleOptions);\n    BaseDirective._loadScopedThemeStyles(el.$instance, useStyleOptions);\n    BaseDirective._themeChangeListener(function () {\n      return BaseDirective._loadThemeStyles(el.$instance, useStyleOptions);\n    });\n  },\n  _loadCoreStyles: function _loadCoreStyles() {\n    var _instance$$style, _instance$$style2;\n    var instance = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    var useStyleOptions = arguments.length > 1 ? arguments[1] : undefined;\n    if (!Base.isStyleNameLoaded((_instance$$style = instance.$style) === null || _instance$$style === void 0 ? void 0 : _instance$$style.name) && (_instance$$style2 = instance.$style) !== null && _instance$$style2 !== void 0 && _instance$$style2.name) {\n      var _instance$$style3;\n      BaseStyle.loadCSS(useStyleOptions);\n      instance.isUnstyled() && ((_instance$$style3 = instance.$style) === null || _instance$$style3 === void 0 ? void 0 : _instance$$style3.loadCSS(useStyleOptions));\n      Base.setLoadedStyleName(instance.$style.name);\n    }\n  },\n  _loadThemeStyles: function _loadThemeStyles() {\n    var _instance$$style5, _instance$$style6;\n    var instance = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    var useStyleOptions = arguments.length > 1 ? arguments[1] : undefined;\n    if (instance !== null && instance !== void 0 && instance.isUnstyled()) return;\n\n    // common\n    if (!Theme.isStyleNameLoaded('common')) {\n      var _instance$$style4, _instance$$style4$get;\n      var _ref5 = ((_instance$$style4 = instance.$style) === null || _instance$$style4 === void 0 || (_instance$$style4$get = _instance$$style4.getCommonTheme) === null || _instance$$style4$get === void 0 ? void 0 : _instance$$style4$get.call(_instance$$style4)) || {},\n        primitive = _ref5.primitive,\n        semantic = _ref5.semantic;\n      BaseStyle.load(primitive === null || primitive === void 0 ? void 0 : primitive.css, _objectSpread({\n        name: 'primitive-variables'\n      }, useStyleOptions));\n      BaseStyle.load(semantic === null || semantic === void 0 ? void 0 : semantic.css, _objectSpread({\n        name: 'semantic-variables'\n      }, useStyleOptions));\n      BaseStyle.loadTheme(_objectSpread({\n        name: 'global-style'\n      }, useStyleOptions));\n      Theme.setLoadedStyleName('common');\n    }\n\n    // directive\n    if (!Theme.isStyleNameLoaded((_instance$$style5 = instance.$style) === null || _instance$$style5 === void 0 ? void 0 : _instance$$style5.name) && (_instance$$style6 = instance.$style) !== null && _instance$$style6 !== void 0 && _instance$$style6.name) {\n      var _instance$$style7, _instance$$style7$get, _instance$$style8, _instance$$style9;\n      var _ref6 = ((_instance$$style7 = instance.$style) === null || _instance$$style7 === void 0 || (_instance$$style7$get = _instance$$style7.getDirectiveTheme) === null || _instance$$style7$get === void 0 ? void 0 : _instance$$style7$get.call(_instance$$style7)) || {},\n        css = _ref6.css;\n      (_instance$$style8 = instance.$style) === null || _instance$$style8 === void 0 || _instance$$style8.load(css, _objectSpread({\n        name: \"\".concat(instance.$style.name, \"-variables\")\n      }, useStyleOptions));\n      (_instance$$style9 = instance.$style) === null || _instance$$style9 === void 0 || _instance$$style9.loadTheme(_objectSpread({\n        name: \"\".concat(instance.$style.name, \"-style\")\n      }, useStyleOptions));\n      Theme.setLoadedStyleName(instance.$style.name);\n    }\n\n    // layer order\n    if (!Theme.isStyleNameLoaded('layer-order')) {\n      var _instance$$style10, _instance$$style10$ge;\n      var layerOrder = (_instance$$style10 = instance.$style) === null || _instance$$style10 === void 0 || (_instance$$style10$ge = _instance$$style10.getLayerOrderThemeCSS) === null || _instance$$style10$ge === void 0 ? void 0 : _instance$$style10$ge.call(_instance$$style10);\n      BaseStyle.load(layerOrder, _objectSpread({\n        name: 'layer-order',\n        first: true\n      }, useStyleOptions));\n      Theme.setLoadedStyleName('layer-order');\n    }\n  },\n  _loadScopedThemeStyles: function _loadScopedThemeStyles() {\n    var instance = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    var useStyleOptions = arguments.length > 1 ? arguments[1] : undefined;\n    var preset = instance.preset();\n    if (preset && instance.$attrSelector) {\n      var _instance$$style11, _instance$$style11$ge, _instance$$style12;\n      var _ref7 = ((_instance$$style11 = instance.$style) === null || _instance$$style11 === void 0 || (_instance$$style11$ge = _instance$$style11.getPresetTheme) === null || _instance$$style11$ge === void 0 ? void 0 : _instance$$style11$ge.call(_instance$$style11, preset, \"[\".concat(instance.$attrSelector, \"]\"))) || {},\n        css = _ref7.css;\n      var scopedStyle = (_instance$$style12 = instance.$style) === null || _instance$$style12 === void 0 ? void 0 : _instance$$style12.load(css, _objectSpread({\n        name: \"\".concat(instance.$attrSelector, \"-\").concat(instance.$style.name)\n      }, useStyleOptions));\n      instance.scopedStyleEl = scopedStyle.el;\n    }\n  },\n  _themeChangeListener: function _themeChangeListener() {\n    var callback = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : function () {};\n    Base.clearLoadedStyleNames();\n    ThemeService.on('theme:change', callback);\n  },\n  _hook: function _hook(directiveName, hookName, el, binding, vnode, prevVnode) {\n    var _binding$value, _config$pt;\n    var name = \"on\".concat(toCapitalCase(hookName));\n    var config = BaseDirective._getConfig(binding, vnode);\n    var instance = el === null || el === void 0 ? void 0 : el.$instance;\n    var selfHook = BaseDirective._usePT(instance, BaseDirective._getPT(binding === null || binding === void 0 || (_binding$value = binding.value) === null || _binding$value === void 0 ? void 0 : _binding$value.pt, directiveName), BaseDirective._getOptionValue, \"hooks.\".concat(name));\n    var defaultHook = BaseDirective._useDefaultPT(instance, config === null || config === void 0 || (_config$pt = config.pt) === null || _config$pt === void 0 || (_config$pt = _config$pt.directives) === null || _config$pt === void 0 ? void 0 : _config$pt[directiveName], BaseDirective._getOptionValue, \"hooks.\".concat(name));\n    var options = {\n      el: el,\n      binding: binding,\n      vnode: vnode,\n      prevVnode: prevVnode\n    };\n    selfHook === null || selfHook === void 0 || selfHook(instance, options);\n    defaultHook === null || defaultHook === void 0 || defaultHook(instance, options);\n  },\n  _mergeProps: function _mergeProps() {\n    var fn = arguments.length > 1 ? arguments[1] : undefined;\n    for (var _len = arguments.length, args = new Array(_len > 2 ? _len - 2 : 0), _key2 = 2; _key2 < _len; _key2++) {\n      args[_key2 - 2] = arguments[_key2];\n    }\n    return isFunction(fn) ? fn.apply(void 0, args) : mergeProps.apply(void 0, args);\n  },\n  _extend: function _extend(name) {\n    var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    var handleHook = function handleHook(hook, el, binding, vnode, prevVnode) {\n      var _el$$instance$hook, _el$$instance9, _el$$pd;\n      el._$instances = el._$instances || {};\n      var config = BaseDirective._getConfig(binding, vnode);\n      var $prevInstance = el._$instances[name] || {};\n      var $options = isEmpty($prevInstance) ? _objectSpread(_objectSpread({}, options), options === null || options === void 0 ? void 0 : options.methods) : {};\n      el._$instances[name] = _objectSpread(_objectSpread({}, $prevInstance), {}, {\n        /* new instance variables to pass in directive methods */\n        $name: name,\n        $host: el,\n        $binding: binding,\n        $modifiers: binding === null || binding === void 0 ? void 0 : binding.modifiers,\n        $value: binding === null || binding === void 0 ? void 0 : binding.value,\n        $el: $prevInstance['$el'] || el || undefined,\n        $style: _objectSpread({\n          classes: undefined,\n          inlineStyles: undefined,\n          load: function load() {},\n          loadCSS: function loadCSS() {},\n          loadTheme: function loadTheme() {}\n        }, options === null || options === void 0 ? void 0 : options.style),\n        $primevueConfig: config,\n        $attrSelector: el.$attrSelector,\n        /* computed instance variables */\n        defaultPT: function defaultPT() {\n          return BaseDirective._getPT(config === null || config === void 0 ? void 0 : config.pt, undefined, function (value) {\n            var _value$directives;\n            return value === null || value === void 0 || (_value$directives = value.directives) === null || _value$directives === void 0 ? void 0 : _value$directives[name];\n          });\n        },\n        isUnstyled: function isUnstyled() {\n          var _el$$instance, _el$$instance2;\n          return ((_el$$instance = el.$instance) === null || _el$$instance === void 0 || (_el$$instance = _el$$instance.$binding) === null || _el$$instance === void 0 || (_el$$instance = _el$$instance.value) === null || _el$$instance === void 0 ? void 0 : _el$$instance.unstyled) !== undefined ? (_el$$instance2 = el.$instance) === null || _el$$instance2 === void 0 || (_el$$instance2 = _el$$instance2.$binding) === null || _el$$instance2 === void 0 || (_el$$instance2 = _el$$instance2.value) === null || _el$$instance2 === void 0 ? void 0 : _el$$instance2.unstyled : config === null || config === void 0 ? void 0 : config.unstyled;\n        },\n        theme: function theme() {\n          var _el$$instance3;\n          return (_el$$instance3 = el.$instance) === null || _el$$instance3 === void 0 || (_el$$instance3 = _el$$instance3.$primevueConfig) === null || _el$$instance3 === void 0 ? void 0 : _el$$instance3.theme;\n        },\n        preset: function preset() {\n          var _el$$instance4;\n          return (_el$$instance4 = el.$instance) === null || _el$$instance4 === void 0 || (_el$$instance4 = _el$$instance4.$binding) === null || _el$$instance4 === void 0 || (_el$$instance4 = _el$$instance4.value) === null || _el$$instance4 === void 0 ? void 0 : _el$$instance4.dt;\n        },\n        /* instance's methods */\n        ptm: function ptm() {\n          var _el$$instance5;\n          var key = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n          var params = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n          return BaseDirective._getPTValue(el.$instance, (_el$$instance5 = el.$instance) === null || _el$$instance5 === void 0 || (_el$$instance5 = _el$$instance5.$binding) === null || _el$$instance5 === void 0 || (_el$$instance5 = _el$$instance5.value) === null || _el$$instance5 === void 0 ? void 0 : _el$$instance5.pt, key, _objectSpread({}, params));\n        },\n        ptmo: function ptmo() {\n          var obj = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n          var key = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n          var params = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n          return BaseDirective._getPTValue(el.$instance, obj, key, params, false);\n        },\n        cx: function cx() {\n          var _el$$instance6, _el$$instance7;\n          var key = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n          var params = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n          return !((_el$$instance6 = el.$instance) !== null && _el$$instance6 !== void 0 && _el$$instance6.isUnstyled()) ? BaseDirective._getOptionValue((_el$$instance7 = el.$instance) === null || _el$$instance7 === void 0 || (_el$$instance7 = _el$$instance7.$style) === null || _el$$instance7 === void 0 ? void 0 : _el$$instance7.classes, key, _objectSpread({}, params)) : undefined;\n        },\n        sx: function sx() {\n          var _el$$instance8;\n          var key = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n          var when = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true;\n          var params = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n          return when ? BaseDirective._getOptionValue((_el$$instance8 = el.$instance) === null || _el$$instance8 === void 0 || (_el$$instance8 = _el$$instance8.$style) === null || _el$$instance8 === void 0 ? void 0 : _el$$instance8.inlineStyles, key, _objectSpread({}, params)) : undefined;\n        }\n      }, $options);\n      el.$instance = el._$instances[name]; // pass instance data to hooks\n      (_el$$instance$hook = (_el$$instance9 = el.$instance)[hook]) === null || _el$$instance$hook === void 0 || _el$$instance$hook.call(_el$$instance9, el, binding, vnode, prevVnode); // handle hook in directive implementation\n      el[\"$\".concat(name)] = el.$instance; // expose all options with $<directive_name>\n      BaseDirective._hook(name, hook, el, binding, vnode, prevVnode); // handle hooks during directive uses (global and self-definition)\n\n      el.$pd || (el.$pd = {});\n      el.$pd[name] = _objectSpread(_objectSpread({}, (_el$$pd = el.$pd) === null || _el$$pd === void 0 ? void 0 : _el$$pd[name]), {}, {\n        name: name,\n        instance: el.$instance\n      });\n    };\n    var handleWatch = function handleWatch(el) {\n      var _el$$instance10, _watchers$config, _el$$instance11, _watchers$configRipp, _el$$instance12;\n      var watchers = (_el$$instance10 = el.$instance) === null || _el$$instance10 === void 0 ? void 0 : _el$$instance10.watch;\n\n      // for 'config'\n      watchers === null || watchers === void 0 || (_watchers$config = watchers['config']) === null || _watchers$config === void 0 || _watchers$config.call(el.$instance, (_el$$instance11 = el.$instance) === null || _el$$instance11 === void 0 ? void 0 : _el$$instance11.$primevueConfig);\n      PrimeVueService.on('config:change', function (_ref8) {\n        var _watchers$config2;\n        var newValue = _ref8.newValue,\n          oldValue = _ref8.oldValue;\n        return watchers === null || watchers === void 0 || (_watchers$config2 = watchers['config']) === null || _watchers$config2 === void 0 ? void 0 : _watchers$config2.call(el.$instance, newValue, oldValue);\n      });\n\n      // for 'config.ripple'\n      watchers === null || watchers === void 0 || (_watchers$configRipp = watchers['config.ripple']) === null || _watchers$configRipp === void 0 || _watchers$configRipp.call(el.$instance, (_el$$instance12 = el.$instance) === null || _el$$instance12 === void 0 || (_el$$instance12 = _el$$instance12.$primevueConfig) === null || _el$$instance12 === void 0 ? void 0 : _el$$instance12.ripple);\n      PrimeVueService.on('config:ripple:change', function (_ref9) {\n        var _watchers$configRipp2;\n        var newValue = _ref9.newValue,\n          oldValue = _ref9.oldValue;\n        return watchers === null || watchers === void 0 || (_watchers$configRipp2 = watchers['config.ripple']) === null || _watchers$configRipp2 === void 0 ? void 0 : _watchers$configRipp2.call(el.$instance, newValue, oldValue);\n      });\n    };\n    return {\n      created: function created(el, binding, vnode, prevVnode) {\n        handleHook('created', el, binding, vnode, prevVnode);\n      },\n      beforeMount: function beforeMount(el, binding, vnode, prevVnode) {\n        el.$attrSelector = UniqueComponentId('pd');\n        BaseDirective._loadStyles(el, binding, vnode);\n        handleHook('beforeMount', el, binding, vnode, prevVnode);\n        handleWatch(el);\n      },\n      mounted: function mounted(el, binding, vnode, prevVnode) {\n        BaseDirective._loadStyles(el, binding, vnode);\n        handleHook('mounted', el, binding, vnode, prevVnode);\n      },\n      beforeUpdate: function beforeUpdate(el, binding, vnode, prevVnode) {\n        handleHook('beforeUpdate', el, binding, vnode, prevVnode);\n      },\n      updated: function updated(el, binding, vnode, prevVnode) {\n        BaseDirective._loadStyles(el, binding, vnode);\n        handleHook('updated', el, binding, vnode, prevVnode);\n      },\n      beforeUnmount: function beforeUnmount(el, binding, vnode, prevVnode) {\n        handleHook('beforeUnmount', el, binding, vnode, prevVnode);\n      },\n      unmounted: function unmounted(el, binding, vnode, prevVnode) {\n        var _el$$instance13;\n        (_el$$instance13 = el.$instance) === null || _el$$instance13 === void 0 || (_el$$instance13 = _el$$instance13.scopedStyleEl) === null || _el$$instance13 === void 0 || (_el$$instance13 = _el$$instance13.value) === null || _el$$instance13 === void 0 || _el$$instance13.remove();\n        handleHook('unmounted', el, binding, vnode, prevVnode);\n      }\n    };\n  },\n  extend: function extend() {\n    var _BaseDirective$_getMe = BaseDirective._getMeta.apply(BaseDirective, arguments),\n      _BaseDirective$_getMe2 = _slicedToArray(_BaseDirective$_getMe, 2),\n      name = _BaseDirective$_getMe2[0],\n      options = _BaseDirective$_getMe2[1];\n    return _objectSpread({\n      extend: function extend() {\n        var _BaseDirective$_getMe3 = BaseDirective._getMeta.apply(BaseDirective, arguments),\n          _BaseDirective$_getMe4 = _slicedToArray(_BaseDirective$_getMe3, 2),\n          _name = _BaseDirective$_getMe4[0],\n          _options = _BaseDirective$_getMe4[1];\n        return BaseDirective.extend(_name, _objectSpread(_objectSpread(_objectSpread({}, options), options === null || options === void 0 ? void 0 : options.methods), _options));\n      }\n    }, BaseDirective._extend(name, options));\n  }\n};\n\nexport { BaseDirective as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-tooltip {\\n    position: absolute;\\n    display: none;\\n    max-width: \".concat(dt('tooltip.max.width'), \";\\n}\\n\\n.p-tooltip-right,\\n.p-tooltip-left {\\n    padding: 0 \").concat(dt('tooltip.gutter'), \";\\n}\\n\\n.p-tooltip-top,\\n.p-tooltip-bottom {\\n    padding: \").concat(dt('tooltip.gutter'), \" 0;\\n}\\n\\n.p-tooltip-text {\\n    white-space: pre-line;\\n    word-break: break-word;\\n    background: \").concat(dt('tooltip.background'), \";\\n    color: \").concat(dt('tooltip.color'), \";\\n    padding: \").concat(dt('tooltip.padding'), \";\\n    box-shadow: \").concat(dt('tooltip.shadow'), \";\\n    border-radius: \").concat(dt('tooltip.border.radius'), \";\\n}\\n\\n.p-tooltip-arrow {\\n    position: absolute;\\n    width: 0;\\n    height: 0;\\n    border-color: transparent;\\n    border-style: solid;\\n    scale: 2;\\n}\\n\\n.p-tooltip-right .p-tooltip-arrow {\\n    margin-top: calc(-1 * \").concat(dt('tooltip.gutter'), \");\\n    border-width: \").concat(dt('tooltip.gutter'), \" \").concat(dt('tooltip.gutter'), \" \").concat(dt('tooltip.gutter'), \" 0;\\n    border-right-color: \").concat(dt('tooltip.background'), \";\\n}\\n\\n.p-tooltip-left .p-tooltip-arrow {\\n    margin-top: calc(-1 * \").concat(dt('tooltip.gutter'), \");\\n    border-width: \").concat(dt('tooltip.gutter'), \" 0 \").concat(dt('tooltip.gutter'), \" \").concat(dt('tooltip.gutter'), \";\\n    border-left-color: \").concat(dt('tooltip.background'), \";\\n}\\n\\n.p-tooltip-top .p-tooltip-arrow {\\n    margin-left: calc(-1 * \").concat(dt('tooltip.gutter'), \");\\n    border-width: \").concat(dt('tooltip.gutter'), \" \").concat(dt('tooltip.gutter'), \" 0 \").concat(dt('tooltip.gutter'), \";\\n    border-top-color: \").concat(dt('tooltip.background'), \";\\n    border-bottom-color: \").concat(dt('tooltip.background'), \";\\n}\\n\\n.p-tooltip-bottom .p-tooltip-arrow {\\n    margin-left: calc(-1 * \").concat(dt('tooltip.gutter'), \");\\n    border-width: 0 \").concat(dt('tooltip.gutter'), \" \").concat(dt('tooltip.gutter'), \" \").concat(dt('tooltip.gutter'), \";\\n    border-top-color: \").concat(dt('tooltip.background'), \";\\n    border-bottom-color: \").concat(dt('tooltip.background'), \";\\n}\\n\");\n};\nvar classes = {\n  root: 'p-tooltip p-component',\n  arrow: 'p-tooltip-arrow',\n  text: 'p-tooltip-text'\n};\nvar TooltipStyle = BaseStyle.extend({\n  name: 'tooltip-directive',\n  theme: theme,\n  classes: classes\n});\n\nexport { TooltipStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { getAttribute, isExist, fadeIn, isTouchDevice, createElement, getWindowScrollLeft, getWindowScrollTop, getOuterWidth, getOuterHeight, removeClass, addClass, findSingle, getViewport, hasClass } from '@primeuix/utils/dom';\nimport { isEmpty } from '@primeuix/utils/object';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport { UniqueComponentId, ConnectedOverlayScrollHandler } from '@primevue/core/utils';\nimport BaseDirective from '@primevue/core/basedirective';\nimport TooltipStyle from 'primevue/tooltip/style';\n\nvar BaseTooltip = BaseDirective.extend({\n  style: TooltipStyle\n});\n\nfunction _slicedToArray(r, e) { return _arrayWithHoles(r) || _iterableToArrayLimit(r, e) || _unsupportedIterableToArray(r, e) || _nonIterableRest(); }\nfunction _nonIterableRest() { throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction _iterableToArrayLimit(r, l) { var t = null == r ? null : \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"]; if (null != t) { var e, n, i, u, a = [], f = !0, o = !1; try { if (i = (t = t.call(r)).next, 0 === l) ; else for (; !(f = (e = i.call(t)).done) && (a.push(e.value), a.length !== l); f = !0); } catch (r) { o = !0, n = r; } finally { try { if (!f && null != t[\"return\"] && (u = t[\"return\"](), Object(u) !== u)) return; } finally { if (o) throw n; } } return a; } }\nfunction _arrayWithHoles(r) { if (Array.isArray(r)) return r; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nvar Tooltip = BaseTooltip.extend('tooltip', {\n  beforeMount: function beforeMount(el, options) {\n    var _options$instance$$pr;\n    var target = this.getTarget(el);\n    target.$_ptooltipModifiers = this.getModifiers(options);\n    if (!options.value) return;else if (typeof options.value === 'string') {\n      target.$_ptooltipValue = options.value;\n      target.$_ptooltipDisabled = false;\n      target.$_ptooltipEscape = true;\n      target.$_ptooltipClass = null;\n      target.$_ptooltipFitContent = true;\n      target.$_ptooltipIdAttr = UniqueComponentId() + '_tooltip';\n      target.$_ptooltipShowDelay = 0;\n      target.$_ptooltipHideDelay = 0;\n      target.$_ptooltipAutoHide = true;\n    } else if (_typeof(options.value) === 'object' && options.value) {\n      if (isEmpty(options.value.value) || options.value.value.trim() === '') return;else {\n        target.$_ptooltipValue = options.value.value;\n        target.$_ptooltipDisabled = !!options.value.disabled === options.value.disabled ? options.value.disabled : false;\n        target.$_ptooltipEscape = !!options.value.escape === options.value.escape ? options.value.escape : true;\n        target.$_ptooltipClass = options.value[\"class\"] || '';\n        target.$_ptooltipFitContent = !!options.value.fitContent === options.value.fitContent ? options.value.fitContent : true;\n        target.$_ptooltipIdAttr = options.value.id || UniqueComponentId() + '_tooltip';\n        target.$_ptooltipShowDelay = options.value.showDelay || 0;\n        target.$_ptooltipHideDelay = options.value.hideDelay || 0;\n        target.$_ptooltipAutoHide = !!options.value.autoHide === options.value.autoHide ? options.value.autoHide : true;\n      }\n    }\n    target.$_ptooltipZIndex = (_options$instance$$pr = options.instance.$primevue) === null || _options$instance$$pr === void 0 || (_options$instance$$pr = _options$instance$$pr.config) === null || _options$instance$$pr === void 0 || (_options$instance$$pr = _options$instance$$pr.zIndex) === null || _options$instance$$pr === void 0 ? void 0 : _options$instance$$pr.tooltip;\n    this.bindEvents(target, options);\n    el.setAttribute('data-pd-tooltip', true);\n  },\n  updated: function updated(el, options) {\n    var target = this.getTarget(el);\n    target.$_ptooltipModifiers = this.getModifiers(options);\n    this.unbindEvents(target);\n    if (!options.value) {\n      return;\n    }\n    if (typeof options.value === 'string') {\n      target.$_ptooltipValue = options.value;\n      target.$_ptooltipDisabled = false;\n      target.$_ptooltipEscape = true;\n      target.$_ptooltipClass = null;\n      target.$_ptooltipIdAttr = target.$_ptooltipIdAttr || UniqueComponentId() + '_tooltip';\n      target.$_ptooltipShowDelay = 0;\n      target.$_ptooltipHideDelay = 0;\n      target.$_ptooltipAutoHide = true;\n      this.bindEvents(target, options);\n    } else if (_typeof(options.value) === 'object' && options.value) {\n      if (isEmpty(options.value.value) || options.value.value.trim() === '') {\n        this.unbindEvents(target, options);\n        return;\n      } else {\n        target.$_ptooltipValue = options.value.value;\n        target.$_ptooltipDisabled = !!options.value.disabled === options.value.disabled ? options.value.disabled : false;\n        target.$_ptooltipEscape = !!options.value.escape === options.value.escape ? options.value.escape : true;\n        target.$_ptooltipClass = options.value[\"class\"] || '';\n        target.$_ptooltipFitContent = !!options.value.fitContent === options.value.fitContent ? options.value.fitContent : true;\n        target.$_ptooltipIdAttr = options.value.id || target.$_ptooltipIdAttr || UniqueComponentId() + '_tooltip';\n        target.$_ptooltipShowDelay = options.value.showDelay || 0;\n        target.$_ptooltipHideDelay = options.value.hideDelay || 0;\n        target.$_ptooltipAutoHide = !!options.value.autoHide === options.value.autoHide ? options.value.autoHide : true;\n        this.bindEvents(target, options);\n      }\n    }\n  },\n  unmounted: function unmounted(el, options) {\n    var target = this.getTarget(el);\n    this.remove(target);\n    this.unbindEvents(target, options);\n    if (target.$_ptooltipScrollHandler) {\n      target.$_ptooltipScrollHandler.destroy();\n      target.$_ptooltipScrollHandler = null;\n    }\n  },\n  timer: undefined,\n  methods: {\n    bindEvents: function bindEvents(el, options) {\n      var _this = this;\n      var modifiers = el.$_ptooltipModifiers;\n      if (modifiers.focus) {\n        el.$_focusevent = function (event) {\n          return _this.onFocus(event, options);\n        };\n        el.addEventListener('focus', el.$_focusevent);\n        el.addEventListener('blur', this.onBlur.bind(this));\n      } else {\n        el.$_mouseenterevent = function (event) {\n          return _this.onMouseEnter(event, options);\n        };\n        el.addEventListener('mouseenter', el.$_mouseenterevent);\n        el.addEventListener('mouseleave', this.onMouseLeave.bind(this));\n        el.addEventListener('click', this.onClick.bind(this));\n      }\n      el.addEventListener('keydown', this.onKeydown.bind(this));\n    },\n    unbindEvents: function unbindEvents(el) {\n      var modifiers = el.$_ptooltipModifiers;\n      if (modifiers.focus) {\n        el.removeEventListener('focus', el.$_focusevent);\n        el.$_focusevent = null;\n        el.removeEventListener('blur', this.onBlur.bind(this));\n      } else {\n        el.removeEventListener('mouseenter', el.$_mouseenterevent);\n        el.$_mouseenterevent = null;\n        el.removeEventListener('mouseleave', this.onMouseLeave.bind(this));\n        el.removeEventListener('click', this.onClick.bind(this));\n      }\n      el.removeEventListener('keydown', this.onKeydown.bind(this));\n    },\n    bindScrollListener: function bindScrollListener(el) {\n      var _this2 = this;\n      if (!el.$_ptooltipScrollHandler) {\n        el.$_ptooltipScrollHandler = new ConnectedOverlayScrollHandler(el, function () {\n          _this2.hide(el);\n        });\n      }\n      el.$_ptooltipScrollHandler.bindScrollListener();\n    },\n    unbindScrollListener: function unbindScrollListener(el) {\n      if (el.$_ptooltipScrollHandler) {\n        el.$_ptooltipScrollHandler.unbindScrollListener();\n      }\n    },\n    onMouseEnter: function onMouseEnter(event, options) {\n      var el = event.currentTarget;\n      var showDelay = el.$_ptooltipShowDelay;\n      this.show(el, options, showDelay);\n    },\n    onMouseLeave: function onMouseLeave(event) {\n      var el = event.currentTarget;\n      var hideDelay = el.$_ptooltipHideDelay;\n      var autoHide = el.$_ptooltipAutoHide;\n      if (!autoHide) {\n        var valid = getAttribute(event.target, 'data-pc-name') === 'tooltip' || getAttribute(event.target, 'data-pc-section') === 'arrow' || getAttribute(event.target, 'data-pc-section') === 'text' || getAttribute(event.relatedTarget, 'data-pc-name') === 'tooltip' || getAttribute(event.relatedTarget, 'data-pc-section') === 'arrow' || getAttribute(event.relatedTarget, 'data-pc-section') === 'text';\n        !valid && this.hide(el, hideDelay);\n      } else {\n        this.hide(el, hideDelay);\n      }\n    },\n    onFocus: function onFocus(event, options) {\n      var el = event.currentTarget;\n      var showDelay = el.$_ptooltipShowDelay;\n      this.show(el, options, showDelay);\n    },\n    onBlur: function onBlur(event) {\n      var el = event.currentTarget;\n      var hideDelay = el.$_ptooltipHideDelay;\n      this.hide(el, hideDelay);\n    },\n    onClick: function onClick(event) {\n      var el = event.currentTarget;\n      var hideDelay = el.$_ptooltipHideDelay;\n      this.hide(el, hideDelay);\n    },\n    onKeydown: function onKeydown(event) {\n      var el = event.currentTarget;\n      var hideDelay = el.$_ptooltipHideDelay;\n      event.code === 'Escape' && this.hide(event.currentTarget, hideDelay);\n    },\n    tooltipActions: function tooltipActions(el, options) {\n      if (el.$_ptooltipDisabled || !isExist(el)) {\n        return;\n      }\n      var tooltipElement = this.create(el, options);\n      this.align(el);\n      !this.isUnstyled() && fadeIn(tooltipElement, 250);\n      var $this = this;\n      window.addEventListener('resize', function onWindowResize() {\n        if (!isTouchDevice()) {\n          $this.hide(el);\n        }\n        window.removeEventListener('resize', onWindowResize);\n      });\n      tooltipElement.addEventListener('mouseleave', function onTooltipLeave() {\n        $this.hide(el);\n        tooltipElement.removeEventListener('mouseleave', onTooltipLeave);\n      });\n      this.bindScrollListener(el);\n      ZIndex.set('tooltip', tooltipElement, el.$_ptooltipZIndex);\n    },\n    show: function show(el, options, showDelay) {\n      var _this3 = this;\n      if (showDelay !== undefined) {\n        this.timer = setTimeout(function () {\n          return _this3.tooltipActions(el, options);\n        }, showDelay);\n      } else {\n        this.tooltipActions(el, options);\n      }\n    },\n    tooltipRemoval: function tooltipRemoval(el) {\n      this.remove(el);\n      this.unbindScrollListener(el);\n    },\n    hide: function hide(el, hideDelay) {\n      var _this4 = this;\n      clearTimeout(this.timer);\n      if (hideDelay !== undefined) {\n        setTimeout(function () {\n          return _this4.tooltipRemoval(el);\n        }, hideDelay);\n      } else {\n        this.tooltipRemoval(el);\n      }\n    },\n    getTooltipElement: function getTooltipElement(el) {\n      return document.getElementById(el.$_ptooltipId);\n    },\n    create: function create(el) {\n      var modifiers = el.$_ptooltipModifiers;\n      var tooltipArrow = createElement('div', {\n        \"class\": !this.isUnstyled() && this.cx('arrow'),\n        'p-bind': this.ptm('arrow', {\n          context: modifiers\n        })\n      });\n      var tooltipText = createElement('div', {\n        \"class\": !this.isUnstyled() && this.cx('text'),\n        'p-bind': this.ptm('text', {\n          context: modifiers\n        })\n      });\n      if (!el.$_ptooltipEscape) {\n        tooltipText.innerHTML = el.$_ptooltipValue;\n      } else {\n        tooltipText.innerHTML = '';\n        tooltipText.appendChild(document.createTextNode(el.$_ptooltipValue));\n      }\n      var container = createElement('div', _defineProperty(_defineProperty({\n        id: el.$_ptooltipIdAttr,\n        role: 'tooltip',\n        style: {\n          display: 'inline-block',\n          width: el.$_ptooltipFitContent ? 'fit-content' : undefined,\n          pointerEvents: !this.isUnstyled() && el.$_ptooltipAutoHide && 'none'\n        },\n        \"class\": [!this.isUnstyled() && this.cx('root'), el.$_ptooltipClass]\n      }, this.$attrSelector, ''), 'p-bind', this.ptm('root', {\n        context: modifiers\n      })), tooltipArrow, tooltipText);\n      document.body.appendChild(container);\n      el.$_ptooltipId = container.id;\n      this.$el = container;\n      return container;\n    },\n    remove: function remove(el) {\n      if (el) {\n        var tooltipElement = this.getTooltipElement(el);\n        if (tooltipElement && tooltipElement.parentElement) {\n          ZIndex.clear(tooltipElement);\n          document.body.removeChild(tooltipElement);\n        }\n        el.$_ptooltipId = null;\n      }\n    },\n    align: function align(el) {\n      var modifiers = el.$_ptooltipModifiers;\n      if (modifiers.top) {\n        this.alignTop(el);\n        if (this.isOutOfBounds(el)) {\n          this.alignBottom(el);\n          if (this.isOutOfBounds(el)) {\n            this.alignTop(el);\n          }\n        }\n      } else if (modifiers.left) {\n        this.alignLeft(el);\n        if (this.isOutOfBounds(el)) {\n          this.alignRight(el);\n          if (this.isOutOfBounds(el)) {\n            this.alignTop(el);\n            if (this.isOutOfBounds(el)) {\n              this.alignBottom(el);\n              if (this.isOutOfBounds(el)) {\n                this.alignLeft(el);\n              }\n            }\n          }\n        }\n      } else if (modifiers.bottom) {\n        this.alignBottom(el);\n        if (this.isOutOfBounds(el)) {\n          this.alignTop(el);\n          if (this.isOutOfBounds(el)) {\n            this.alignBottom(el);\n          }\n        }\n      } else {\n        this.alignRight(el);\n        if (this.isOutOfBounds(el)) {\n          this.alignLeft(el);\n          if (this.isOutOfBounds(el)) {\n            this.alignTop(el);\n            if (this.isOutOfBounds(el)) {\n              this.alignBottom(el);\n              if (this.isOutOfBounds(el)) {\n                this.alignRight(el);\n              }\n            }\n          }\n        }\n      }\n    },\n    getHostOffset: function getHostOffset(el) {\n      var offset = el.getBoundingClientRect();\n      var targetLeft = offset.left + getWindowScrollLeft();\n      var targetTop = offset.top + getWindowScrollTop();\n      return {\n        left: targetLeft,\n        top: targetTop\n      };\n    },\n    alignRight: function alignRight(el) {\n      this.preAlign(el, 'right');\n      var tooltipElement = this.getTooltipElement(el);\n      var hostOffset = this.getHostOffset(el);\n      var left = hostOffset.left + getOuterWidth(el);\n      var top = hostOffset.top + (getOuterHeight(el) - getOuterHeight(tooltipElement)) / 2;\n      tooltipElement.style.left = left + 'px';\n      tooltipElement.style.top = top + 'px';\n    },\n    alignLeft: function alignLeft(el) {\n      this.preAlign(el, 'left');\n      var tooltipElement = this.getTooltipElement(el);\n      var hostOffset = this.getHostOffset(el);\n      var left = hostOffset.left - getOuterWidth(tooltipElement);\n      var top = hostOffset.top + (getOuterHeight(el) - getOuterHeight(tooltipElement)) / 2;\n      tooltipElement.style.left = left + 'px';\n      tooltipElement.style.top = top + 'px';\n    },\n    alignTop: function alignTop(el) {\n      this.preAlign(el, 'top');\n      var tooltipElement = this.getTooltipElement(el);\n      var hostOffset = this.getHostOffset(el);\n      var left = hostOffset.left + (getOuterWidth(el) - getOuterWidth(tooltipElement)) / 2;\n      var top = hostOffset.top - getOuterHeight(tooltipElement);\n      tooltipElement.style.left = left + 'px';\n      tooltipElement.style.top = top + 'px';\n    },\n    alignBottom: function alignBottom(el) {\n      this.preAlign(el, 'bottom');\n      var tooltipElement = this.getTooltipElement(el);\n      var hostOffset = this.getHostOffset(el);\n      var left = hostOffset.left + (getOuterWidth(el) - getOuterWidth(tooltipElement)) / 2;\n      var top = hostOffset.top + getOuterHeight(el);\n      tooltipElement.style.left = left + 'px';\n      tooltipElement.style.top = top + 'px';\n    },\n    preAlign: function preAlign(el, position) {\n      var tooltipElement = this.getTooltipElement(el);\n      tooltipElement.style.left = -999 + 'px';\n      tooltipElement.style.top = -999 + 'px';\n      removeClass(tooltipElement, \"p-tooltip-\".concat(tooltipElement.$_ptooltipPosition));\n      !this.isUnstyled() && addClass(tooltipElement, \"p-tooltip-\".concat(position));\n      tooltipElement.$_ptooltipPosition = position;\n      tooltipElement.setAttribute('data-p-position', position);\n      var arrowElement = findSingle(tooltipElement, '[data-pc-section=\"arrow\"]');\n      arrowElement.style.top = position === 'bottom' ? '0' : position === 'right' || position === 'left' || position !== 'right' && position !== 'left' && position !== 'top' && position !== 'bottom' ? '50%' : null;\n      arrowElement.style.bottom = position === 'top' ? '0' : null;\n      arrowElement.style.left = position === 'right' || position !== 'right' && position !== 'left' && position !== 'top' && position !== 'bottom' ? '0' : position === 'top' || position === 'bottom' ? '50%' : null;\n      arrowElement.style.right = position === 'left' ? '0' : null;\n    },\n    isOutOfBounds: function isOutOfBounds(el) {\n      var tooltipElement = this.getTooltipElement(el);\n      var offset = tooltipElement.getBoundingClientRect();\n      var targetTop = offset.top;\n      var targetLeft = offset.left;\n      var width = getOuterWidth(tooltipElement);\n      var height = getOuterHeight(tooltipElement);\n      var viewport = getViewport();\n      return targetLeft + width > viewport.width || targetLeft < 0 || targetTop < 0 || targetTop + height > viewport.height;\n    },\n    getTarget: function getTarget(el) {\n      return hasClass(el, 'p-inputwrapper') ? findSingle(el, 'input') : el;\n    },\n    getModifiers: function getModifiers(options) {\n      // modifiers\n      if (options.modifiers && Object.keys(options.modifiers).length) {\n        return options.modifiers;\n      }\n\n      // arg\n      if (options.arg && _typeof(options.arg) === 'object') {\n        return Object.entries(options.arg).reduce(function (acc, _ref) {\n          var _ref2 = _slicedToArray(_ref, 2),\n            key = _ref2[0],\n            val = _ref2[1];\n          if (key === 'event' || key === 'position') acc[val] = true;\n          return acc;\n        }, {});\n      }\n      return {};\n    }\n  }\n});\n\nexport { Tooltip as default };\n//# sourceMappingURL=index.mjs.map\n","import Base from '@primevue/core/base';\nimport BaseStyle from '@primevue/core/base/style';\nimport { UniqueComponentId } from '@primevue/core/utils';\nimport { Theme, ThemeService } from '@primeuix/styled';\nimport { toFlatCase, isNotEmpty, getKeyValue, isString, isArray, resolve } from '@primeuix/utils/object';\nimport { findSingle } from '@primeuix/utils/dom';\nimport { mergeProps } from 'vue';\n\nvar BaseComponentStyle = BaseStyle.extend({\n  name: 'common'\n});\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction _toArray(r) { return _arrayWithHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableRest(); }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _slicedToArray(r, e) { return _arrayWithHoles(r) || _iterableToArrayLimit(r, e) || _unsupportedIterableToArray(r, e) || _nonIterableRest(); }\nfunction _nonIterableRest() { throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction _iterableToArrayLimit(r, l) { var t = null == r ? null : \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"]; if (null != t) { var e, n, i, u, a = [], f = !0, o = !1; try { if (i = (t = t.call(r)).next, 0 === l) { if (Object(t) !== t) return; f = !1; } else for (; !(f = (e = i.call(t)).done) && (a.push(e.value), a.length !== l); f = !0); } catch (r) { o = !0, n = r; } finally { try { if (!f && null != t[\"return\"] && (u = t[\"return\"](), Object(u) !== u)) return; } finally { if (o) throw n; } } return a; } }\nfunction _arrayWithHoles(r) { if (Array.isArray(r)) return r; }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar script = {\n  name: 'BaseComponent',\n  props: {\n    pt: {\n      type: Object,\n      \"default\": undefined\n    },\n    ptOptions: {\n      type: Object,\n      \"default\": undefined\n    },\n    unstyled: {\n      type: Boolean,\n      \"default\": undefined\n    },\n    dt: {\n      type: Object,\n      \"default\": undefined\n    }\n  },\n  inject: {\n    $parentInstance: {\n      \"default\": undefined\n    }\n  },\n  watch: {\n    isUnstyled: {\n      immediate: true,\n      handler: function handler(newValue) {\n        if (!newValue) {\n          this._loadCoreStyles();\n          this._themeChangeListener(this._loadCoreStyles); // update styles with theme settings\n        }\n      }\n    },\n    dt: {\n      immediate: true,\n      handler: function handler(newValue) {\n        var _this = this;\n        if (newValue) {\n          this._loadScopedThemeStyles(newValue);\n          this._themeChangeListener(function () {\n            return _this._loadScopedThemeStyles(newValue);\n          });\n        } else {\n          this._unloadScopedThemeStyles();\n        }\n      }\n    }\n  },\n  scopedStyleEl: undefined,\n  rootEl: undefined,\n  beforeCreate: function beforeCreate() {\n    var _this$pt, _this$pt2, _this$pt3, _ref, _ref$onBeforeCreate, _this$$primevueConfig, _this$$primevue, _this$$primevue2, _this$$primevue3, _ref2, _ref2$onBeforeCreate;\n    var _usept = (_this$pt = this.pt) === null || _this$pt === void 0 ? void 0 : _this$pt['_usept'];\n    var originalValue = _usept ? (_this$pt2 = this.pt) === null || _this$pt2 === void 0 || (_this$pt2 = _this$pt2.originalValue) === null || _this$pt2 === void 0 ? void 0 : _this$pt2[this.$.type.name] : undefined;\n    var value = _usept ? (_this$pt3 = this.pt) === null || _this$pt3 === void 0 || (_this$pt3 = _this$pt3.value) === null || _this$pt3 === void 0 ? void 0 : _this$pt3[this.$.type.name] : this.pt;\n    (_ref = value || originalValue) === null || _ref === void 0 || (_ref = _ref.hooks) === null || _ref === void 0 || (_ref$onBeforeCreate = _ref['onBeforeCreate']) === null || _ref$onBeforeCreate === void 0 || _ref$onBeforeCreate.call(_ref);\n    var _useptInConfig = (_this$$primevueConfig = this.$primevueConfig) === null || _this$$primevueConfig === void 0 || (_this$$primevueConfig = _this$$primevueConfig.pt) === null || _this$$primevueConfig === void 0 ? void 0 : _this$$primevueConfig['_usept'];\n    var originalValueInConfig = _useptInConfig ? (_this$$primevue = this.$primevue) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.config) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.pt) === null || _this$$primevue === void 0 ? void 0 : _this$$primevue.originalValue : undefined;\n    var valueInConfig = _useptInConfig ? (_this$$primevue2 = this.$primevue) === null || _this$$primevue2 === void 0 || (_this$$primevue2 = _this$$primevue2.config) === null || _this$$primevue2 === void 0 || (_this$$primevue2 = _this$$primevue2.pt) === null || _this$$primevue2 === void 0 ? void 0 : _this$$primevue2.value : (_this$$primevue3 = this.$primevue) === null || _this$$primevue3 === void 0 || (_this$$primevue3 = _this$$primevue3.config) === null || _this$$primevue3 === void 0 ? void 0 : _this$$primevue3.pt;\n    (_ref2 = valueInConfig || originalValueInConfig) === null || _ref2 === void 0 || (_ref2 = _ref2[this.$.type.name]) === null || _ref2 === void 0 || (_ref2 = _ref2.hooks) === null || _ref2 === void 0 || (_ref2$onBeforeCreate = _ref2['onBeforeCreate']) === null || _ref2$onBeforeCreate === void 0 || _ref2$onBeforeCreate.call(_ref2);\n  },\n  created: function created() {\n    this._hook('onCreated');\n  },\n  beforeMount: function beforeMount() {\n    this._loadStyles();\n    this._hook('onBeforeMount');\n  },\n  mounted: function mounted() {\n    // @todo - improve performance\n    this.rootEl = findSingle(this.$el, \"[data-pc-name=\\\"\".concat(toFlatCase(this.$.type.name), \"\\\"]\"));\n    if (this.rootEl) {\n      this.rootEl.setAttribute(this.$attrSelector, '');\n      this.rootEl.$pc = _objectSpread({\n        name: this.$.type.name\n      }, this.$params);\n    }\n    this._hook('onMounted');\n  },\n  beforeUpdate: function beforeUpdate() {\n    this._hook('onBeforeUpdate');\n  },\n  updated: function updated() {\n    this._hook('onUpdated');\n  },\n  beforeUnmount: function beforeUnmount() {\n    this._hook('onBeforeUnmount');\n  },\n  unmounted: function unmounted() {\n    this._unloadScopedThemeStyles();\n    this._hook('onUnmounted');\n  },\n  methods: {\n    _hook: function _hook(hookName) {\n      if (!this.$options.hostName) {\n        var selfHook = this._usePT(this._getPT(this.pt, this.$.type.name), this._getOptionValue, \"hooks.\".concat(hookName));\n        var defaultHook = this._useDefaultPT(this._getOptionValue, \"hooks.\".concat(hookName));\n        selfHook === null || selfHook === void 0 || selfHook();\n        defaultHook === null || defaultHook === void 0 || defaultHook();\n      }\n    },\n    _mergeProps: function _mergeProps(fn) {\n      for (var _len = arguments.length, args = new Array(_len > 1 ? _len - 1 : 0), _key2 = 1; _key2 < _len; _key2++) {\n        args[_key2 - 1] = arguments[_key2];\n      }\n      return isFunction(fn) ? fn.apply(void 0, args) : mergeProps.apply(void 0, args);\n    },\n    _loadStyles: function _loadStyles() {\n      var _this2 = this;\n      var _load = function _load() {\n        // @todo\n        if (!Base.isStyleNameLoaded('base')) {\n          BaseStyle.loadCSS(_this2.$styleOptions);\n          _this2._loadGlobalStyles();\n          Base.setLoadedStyleName('base');\n        }\n        _this2._loadThemeStyles();\n      };\n      _load();\n      this._themeChangeListener(_load);\n    },\n    _loadCoreStyles: function _loadCoreStyles() {\n      var _this$$style, _this$$style2;\n      if (!Base.isStyleNameLoaded((_this$$style = this.$style) === null || _this$$style === void 0 ? void 0 : _this$$style.name) && (_this$$style2 = this.$style) !== null && _this$$style2 !== void 0 && _this$$style2.name) {\n        BaseComponentStyle.loadCSS(this.$styleOptions);\n        this.$options.style && this.$style.loadCSS(this.$styleOptions);\n        Base.setLoadedStyleName(this.$style.name);\n      }\n    },\n    _loadGlobalStyles: function _loadGlobalStyles() {\n      /*\n       * @todo Add self custom css support;\n       * <Panel :pt=\"{ css: `...` }\" .../>\n       *\n       * const selfCSS = this._getPTClassValue(this.pt, 'css', this.$params);\n       * const defaultCSS = this._getPTClassValue(this.defaultPT, 'css', this.$params);\n       * const mergedCSS = mergeProps(selfCSS, defaultCSS);\n       * isNotEmpty(mergedCSS?.class) && this.$css.loadCustomStyle(mergedCSS?.class);\n       */\n\n      var globalCSS = this._useGlobalPT(this._getOptionValue, 'global.css', this.$params);\n      isNotEmpty(globalCSS) && BaseStyle.load(globalCSS, _objectSpread({\n        name: 'global'\n      }, this.$styleOptions));\n    },\n    _loadThemeStyles: function _loadThemeStyles() {\n      var _this$$style4, _this$$style5;\n      if (this.isUnstyled) return;\n\n      // common\n      if (!Theme.isStyleNameLoaded('common')) {\n        var _this$$style3, _this$$style3$getComm;\n        var _ref3 = ((_this$$style3 = this.$style) === null || _this$$style3 === void 0 || (_this$$style3$getComm = _this$$style3.getCommonTheme) === null || _this$$style3$getComm === void 0 ? void 0 : _this$$style3$getComm.call(_this$$style3)) || {},\n          primitive = _ref3.primitive,\n          semantic = _ref3.semantic;\n        BaseStyle.load(primitive === null || primitive === void 0 ? void 0 : primitive.css, _objectSpread({\n          name: 'primitive-variables'\n        }, this.$styleOptions));\n        BaseStyle.load(semantic === null || semantic === void 0 ? void 0 : semantic.css, _objectSpread({\n          name: 'semantic-variables'\n        }, this.$styleOptions));\n        BaseStyle.loadTheme(_objectSpread({\n          name: 'global-style'\n        }, this.$styleOptions));\n        Theme.setLoadedStyleName('common');\n      }\n\n      // component\n      if (!Theme.isStyleNameLoaded((_this$$style4 = this.$style) === null || _this$$style4 === void 0 ? void 0 : _this$$style4.name) && (_this$$style5 = this.$style) !== null && _this$$style5 !== void 0 && _this$$style5.name) {\n        var _this$$style6, _this$$style6$getComp, _this$$style7, _this$$style8;\n        var _ref4 = ((_this$$style6 = this.$style) === null || _this$$style6 === void 0 || (_this$$style6$getComp = _this$$style6.getComponentTheme) === null || _this$$style6$getComp === void 0 ? void 0 : _this$$style6$getComp.call(_this$$style6)) || {},\n          css = _ref4.css;\n        (_this$$style7 = this.$style) === null || _this$$style7 === void 0 || _this$$style7.load(css, _objectSpread({\n          name: \"\".concat(this.$style.name, \"-variables\")\n        }, this.$styleOptions));\n        (_this$$style8 = this.$style) === null || _this$$style8 === void 0 || _this$$style8.loadTheme(_objectSpread({\n          name: \"\".concat(this.$style.name, \"-style\")\n        }, this.$styleOptions));\n        Theme.setLoadedStyleName(this.$style.name);\n      }\n\n      // layer order\n      if (!Theme.isStyleNameLoaded('layer-order')) {\n        var _this$$style9, _this$$style9$getLaye;\n        var layerOrder = (_this$$style9 = this.$style) === null || _this$$style9 === void 0 || (_this$$style9$getLaye = _this$$style9.getLayerOrderThemeCSS) === null || _this$$style9$getLaye === void 0 ? void 0 : _this$$style9$getLaye.call(_this$$style9);\n        BaseStyle.load(layerOrder, _objectSpread({\n          name: 'layer-order',\n          first: true\n        }, this.$styleOptions));\n        Theme.setLoadedStyleName('layer-order');\n      }\n    },\n    _loadScopedThemeStyles: function _loadScopedThemeStyles(preset) {\n      var _this$$style10, _this$$style10$getPre, _this$$style11;\n      var _ref5 = ((_this$$style10 = this.$style) === null || _this$$style10 === void 0 || (_this$$style10$getPre = _this$$style10.getPresetTheme) === null || _this$$style10$getPre === void 0 ? void 0 : _this$$style10$getPre.call(_this$$style10, preset, \"[\".concat(this.$attrSelector, \"]\"))) || {},\n        css = _ref5.css;\n      var scopedStyle = (_this$$style11 = this.$style) === null || _this$$style11 === void 0 ? void 0 : _this$$style11.load(css, _objectSpread({\n        name: \"\".concat(this.$attrSelector, \"-\").concat(this.$style.name)\n      }, this.$styleOptions));\n      this.scopedStyleEl = scopedStyle.el;\n    },\n    _unloadScopedThemeStyles: function _unloadScopedThemeStyles() {\n      var _this$scopedStyleEl;\n      (_this$scopedStyleEl = this.scopedStyleEl) === null || _this$scopedStyleEl === void 0 || (_this$scopedStyleEl = _this$scopedStyleEl.value) === null || _this$scopedStyleEl === void 0 || _this$scopedStyleEl.remove();\n    },\n    _themeChangeListener: function _themeChangeListener() {\n      var callback = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : function () {};\n      Base.clearLoadedStyleNames();\n      ThemeService.on('theme:change', callback);\n    },\n    _getHostInstance: function _getHostInstance(instance) {\n      return instance ? this.$options.hostName ? instance.$.type.name === this.$options.hostName ? instance : this._getHostInstance(instance.$parentInstance) : instance.$parentInstance : undefined;\n    },\n    _getPropValue: function _getPropValue(name) {\n      var _this$_getHostInstanc;\n      return this[name] || ((_this$_getHostInstanc = this._getHostInstance(this)) === null || _this$_getHostInstanc === void 0 ? void 0 : _this$_getHostInstanc[name]);\n    },\n    _getOptionValue: function _getOptionValue(options) {\n      var key = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n      var params = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n      return getKeyValue(options, key, params);\n    },\n    _getPTValue: function _getPTValue() {\n      var _this$$primevueConfig2;\n      var obj = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n      var key = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n      var params = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n      var searchInDefaultPT = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true;\n      var searchOut = /./g.test(key) && !!params[key.split('.')[0]];\n      var _ref6 = this._getPropValue('ptOptions') || ((_this$$primevueConfig2 = this.$primevueConfig) === null || _this$$primevueConfig2 === void 0 ? void 0 : _this$$primevueConfig2.ptOptions) || {},\n        _ref6$mergeSections = _ref6.mergeSections,\n        mergeSections = _ref6$mergeSections === void 0 ? true : _ref6$mergeSections,\n        _ref6$mergeProps = _ref6.mergeProps,\n        useMergeProps = _ref6$mergeProps === void 0 ? false : _ref6$mergeProps;\n      var global = searchInDefaultPT ? searchOut ? this._useGlobalPT(this._getPTClassValue, key, params) : this._useDefaultPT(this._getPTClassValue, key, params) : undefined;\n      var self = searchOut ? undefined : this._getPTSelf(obj, this._getPTClassValue, key, _objectSpread(_objectSpread({}, params), {}, {\n        global: global || {}\n      }));\n      var datasets = this._getPTDatasets(key);\n      return mergeSections || !mergeSections && self ? useMergeProps ? this._mergeProps(useMergeProps, global, self, datasets) : _objectSpread(_objectSpread(_objectSpread({}, global), self), datasets) : _objectSpread(_objectSpread({}, self), datasets);\n    },\n    _getPTSelf: function _getPTSelf() {\n      var obj = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n      for (var _len2 = arguments.length, args = new Array(_len2 > 1 ? _len2 - 1 : 0), _key3 = 1; _key3 < _len2; _key3++) {\n        args[_key3 - 1] = arguments[_key3];\n      }\n      return mergeProps(this._usePT.apply(this, [this._getPT(obj, this.$name)].concat(args)),\n      // Exp; <component :pt=\"{}\"\n      this._usePT.apply(this, [this.$_attrsPT].concat(args)) // Exp; <component :pt:[passthrough_key]:[attribute]=\"{value}\" or <component :pt:[passthrough_key]=\"() =>{value}\"\n      );\n    },\n    _getPTDatasets: function _getPTDatasets() {\n      var _this$pt4, _this$pt5;\n      var key = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n      var datasetPrefix = 'data-pc-';\n      var isExtended = key === 'root' && isNotEmpty((_this$pt4 = this.pt) === null || _this$pt4 === void 0 ? void 0 : _this$pt4['data-pc-section']);\n      return key !== 'transition' && _objectSpread(_objectSpread({}, key === 'root' && _objectSpread(_defineProperty({}, \"\".concat(datasetPrefix, \"name\"), toFlatCase(isExtended ? (_this$pt5 = this.pt) === null || _this$pt5 === void 0 ? void 0 : _this$pt5['data-pc-section'] : this.$.type.name)), isExtended && _defineProperty({}, \"\".concat(datasetPrefix, \"extend\"), toFlatCase(this.$.type.name)))), {}, _defineProperty({}, \"\".concat(datasetPrefix, \"section\"), toFlatCase(key)));\n    },\n    _getPTClassValue: function _getPTClassValue() {\n      var value = this._getOptionValue.apply(this, arguments);\n      return isString(value) || isArray(value) ? {\n        \"class\": value\n      } : value;\n    },\n    _getPT: function _getPT(pt) {\n      var _this3 = this;\n      var key = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n      var callback = arguments.length > 2 ? arguments[2] : undefined;\n      var getValue = function getValue(value) {\n        var _ref8;\n        var checkSameKey = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n        var computedValue = callback ? callback(value) : value;\n        var _key = toFlatCase(key);\n        var _cKey = toFlatCase(_this3.$name);\n        return (_ref8 = checkSameKey ? _key !== _cKey ? computedValue === null || computedValue === void 0 ? void 0 : computedValue[_key] : undefined : computedValue === null || computedValue === void 0 ? void 0 : computedValue[_key]) !== null && _ref8 !== void 0 ? _ref8 : computedValue;\n      };\n      return pt !== null && pt !== void 0 && pt.hasOwnProperty('_usept') ? {\n        _usept: pt['_usept'],\n        originalValue: getValue(pt.originalValue),\n        value: getValue(pt.value)\n      } : getValue(pt, true);\n    },\n    _usePT: function _usePT(pt, callback, key, params) {\n      var fn = function fn(value) {\n        return callback(value, key, params);\n      };\n      if (pt !== null && pt !== void 0 && pt.hasOwnProperty('_usept')) {\n        var _this$$primevueConfig3;\n        var _ref9 = pt['_usept'] || ((_this$$primevueConfig3 = this.$primevueConfig) === null || _this$$primevueConfig3 === void 0 ? void 0 : _this$$primevueConfig3.ptOptions) || {},\n          _ref9$mergeSections = _ref9.mergeSections,\n          mergeSections = _ref9$mergeSections === void 0 ? true : _ref9$mergeSections,\n          _ref9$mergeProps = _ref9.mergeProps,\n          useMergeProps = _ref9$mergeProps === void 0 ? false : _ref9$mergeProps;\n        var originalValue = fn(pt.originalValue);\n        var value = fn(pt.value);\n        if (originalValue === undefined && value === undefined) return undefined;else if (isString(value)) return value;else if (isString(originalValue)) return originalValue;\n        return mergeSections || !mergeSections && value ? useMergeProps ? this._mergeProps(useMergeProps, originalValue, value) : _objectSpread(_objectSpread({}, originalValue), value) : value;\n      }\n      return fn(pt);\n    },\n    _useGlobalPT: function _useGlobalPT(callback, key, params) {\n      return this._usePT(this.globalPT, callback, key, params);\n    },\n    _useDefaultPT: function _useDefaultPT(callback, key, params) {\n      return this._usePT(this.defaultPT, callback, key, params);\n    },\n    ptm: function ptm() {\n      var key = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n      var params = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n      return this._getPTValue(this.pt, key, _objectSpread(_objectSpread({}, this.$params), params));\n    },\n    ptmi: function ptmi() {\n      var key = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n      var params = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n      // inheritAttrs:true\n      return mergeProps(this.$_attrsWithoutPT, this.ptm(key, params));\n    },\n    ptmo: function ptmo() {\n      var obj = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n      var key = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n      var params = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n      return this._getPTValue(obj, key, _objectSpread({\n        instance: this\n      }, params), false);\n    },\n    cx: function cx() {\n      var key = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n      var params = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n      return !this.isUnstyled ? this._getOptionValue(this.$style.classes, key, _objectSpread(_objectSpread({}, this.$params), params)) : undefined;\n    },\n    sx: function sx() {\n      var key = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n      var when = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true;\n      var params = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n      if (when) {\n        var self = this._getOptionValue(this.$style.inlineStyles, key, _objectSpread(_objectSpread({}, this.$params), params));\n        var base = this._getOptionValue(BaseComponentStyle.inlineStyles, key, _objectSpread(_objectSpread({}, this.$params), params));\n        return [base, self];\n      }\n      return undefined;\n    }\n  },\n  computed: {\n    globalPT: function globalPT() {\n      var _this$$primevueConfig4,\n        _this4 = this;\n      return this._getPT((_this$$primevueConfig4 = this.$primevueConfig) === null || _this$$primevueConfig4 === void 0 ? void 0 : _this$$primevueConfig4.pt, undefined, function (value) {\n        return resolve(value, {\n          instance: _this4\n        });\n      });\n    },\n    defaultPT: function defaultPT() {\n      var _this$$primevueConfig5,\n        _this5 = this;\n      return this._getPT((_this$$primevueConfig5 = this.$primevueConfig) === null || _this$$primevueConfig5 === void 0 ? void 0 : _this$$primevueConfig5.pt, undefined, function (value) {\n        return _this5._getOptionValue(value, _this5.$name, _objectSpread({}, _this5.$params)) || resolve(value, _objectSpread({}, _this5.$params));\n      });\n    },\n    isUnstyled: function isUnstyled() {\n      var _this$$primevueConfig6;\n      return this.unstyled !== undefined ? this.unstyled : (_this$$primevueConfig6 = this.$primevueConfig) === null || _this$$primevueConfig6 === void 0 ? void 0 : _this$$primevueConfig6.unstyled;\n    },\n    $theme: function $theme() {\n      var _this$$primevueConfig7;\n      return (_this$$primevueConfig7 = this.$primevueConfig) === null || _this$$primevueConfig7 === void 0 ? void 0 : _this$$primevueConfig7.theme;\n    },\n    $style: function $style() {\n      return _objectSpread(_objectSpread({\n        classes: undefined,\n        inlineStyles: undefined,\n        load: function load() {},\n        loadCSS: function loadCSS() {},\n        loadTheme: function loadTheme() {}\n      }, (this._getHostInstance(this) || {}).$style), this.$options.style);\n    },\n    $styleOptions: function $styleOptions() {\n      var _this$$primevueConfig8;\n      return {\n        nonce: (_this$$primevueConfig8 = this.$primevueConfig) === null || _this$$primevueConfig8 === void 0 || (_this$$primevueConfig8 = _this$$primevueConfig8.csp) === null || _this$$primevueConfig8 === void 0 ? void 0 : _this$$primevueConfig8.nonce\n      };\n    },\n    $primevueConfig: function $primevueConfig() {\n      var _this$$primevue4;\n      return (_this$$primevue4 = this.$primevue) === null || _this$$primevue4 === void 0 ? void 0 : _this$$primevue4.config;\n    },\n    $name: function $name() {\n      return this.$options.hostName || this.$.type.name;\n    },\n    $params: function $params() {\n      var parentInstance = this._getHostInstance(this) || this.$parent;\n      return {\n        instance: this,\n        props: this.$props,\n        state: this.$data,\n        attrs: this.$attrs,\n        parent: {\n          instance: parentInstance,\n          props: parentInstance === null || parentInstance === void 0 ? void 0 : parentInstance.$props,\n          state: parentInstance === null || parentInstance === void 0 ? void 0 : parentInstance.$data,\n          attrs: parentInstance === null || parentInstance === void 0 ? void 0 : parentInstance.$attrs\n        }\n      };\n    },\n    $_attrsPT: function $_attrsPT() {\n      return Object.entries(this.$attrs || {}).filter(function (_ref10) {\n        var _ref11 = _slicedToArray(_ref10, 1),\n          key = _ref11[0];\n        return key === null || key === void 0 ? void 0 : key.startsWith('pt:');\n      }).reduce(function (result, _ref12) {\n        var _ref13 = _slicedToArray(_ref12, 2),\n          key = _ref13[0],\n          value = _ref13[1];\n        var _key$split = key.split(':'),\n          _key$split2 = _toArray(_key$split),\n          rest = _key$split2.slice(1);\n        rest === null || rest === void 0 || rest.reduce(function (currentObj, nestedKey, index, array) {\n          !currentObj[nestedKey] && (currentObj[nestedKey] = index === array.length - 1 ? value : {});\n          return currentObj[nestedKey];\n        }, result);\n        return result;\n      }, {});\n    },\n    $_attrsWithoutPT: function $_attrsWithoutPT() {\n      return Object.entries(this.$attrs || {}).filter(function (_ref14) {\n        var _ref15 = _slicedToArray(_ref14, 1),\n          key = _ref15[0];\n        return !(key !== null && key !== void 0 && key.startsWith('pt:'));\n      }).reduce(function (acc, _ref16) {\n        var _ref17 = _slicedToArray(_ref16, 2),\n          key = _ref17[0],\n          value = _ref17[1];\n        acc[key] = value;\n        return acc;\n      }, {});\n    },\n    $attrSelector: function $attrSelector() {\n      return UniqueComponentId('pc');\n    }\n  }\n};\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-blockui {\\n    position: relative;\\n}\\n\\n.p-blockui-mask {\\n    border-radius: \".concat(dt('blockui.border.radius'), \";\\n}\\n\\n.p-blockui-mask.p-overlay-mask {\\n    position: absolute;\\n}\\n\\n.p-blockui-mask-document.p-overlay-mask {\\n    position: fixed;\\n}\\n\");\n};\nvar classes = {\n  root: 'p-blockui'\n};\nvar BlockUIStyle = BaseStyle.extend({\n  name: 'blockui',\n  theme: theme,\n  classes: classes\n});\n\nexport { BlockUIStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { createElement, blockBodyScroll, addClass, hasCSSAnimation, unblockBodyScroll } from '@primeuix/utils/dom';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport BlockUIStyle from 'primevue/blockui/style';\nimport { openBlock, createElementBlock, mergeProps, renderSlot } from 'vue';\n\nvar script$1 = {\n  name: 'BaseBlockUI',\n  \"extends\": BaseComponent,\n  props: {\n    blocked: {\n      type: Boolean,\n      \"default\": false\n    },\n    fullScreen: {\n      type: Boolean,\n      \"default\": false\n    },\n    baseZIndex: {\n      type: Number,\n      \"default\": 0\n    },\n    autoZIndex: {\n      type: Boolean,\n      \"default\": true\n    }\n  },\n  style: BlockUIStyle,\n  provide: function provide() {\n    return {\n      $pcBlockUI: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'BlockUI',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['block', 'unblock'],\n  mask: null,\n  data: function data() {\n    return {\n      isBlocked: false\n    };\n  },\n  watch: {\n    blocked: function blocked(newValue) {\n      if (newValue === true) this.block();else this.unblock();\n    }\n  },\n  mounted: function mounted() {\n    if (this.blocked) {\n      this.block();\n    }\n  },\n  methods: {\n    block: function block() {\n      var styleClass = 'p-blockui-mask p-overlay-mask p-overlay-mask-enter';\n      if (this.fullScreen) {\n        styleClass += ' p-blockui-mask-document';\n        this.mask = createElement('div', {\n          style: {\n            position: 'fixed',\n            top: '0',\n            left: '0',\n            width: '100%',\n            height: '100%'\n          },\n          \"class\": !this.isUnstyled && styleClass,\n          'p-bind': this.ptm('mask')\n        });\n        document.body.appendChild(this.mask);\n        blockBodyScroll();\n        document.activeElement.blur();\n      } else {\n        this.mask = createElement('div', {\n          style: {\n            position: 'absolute',\n            top: '0',\n            left: '0',\n            width: '100%',\n            height: '100%'\n          },\n          \"class\": !this.isUnstyled && styleClass,\n          'p-bind': this.ptm('mask')\n        });\n        this.$refs.container.appendChild(this.mask);\n      }\n      if (this.autoZIndex) {\n        ZIndex.set('modal', this.mask, this.baseZIndex + this.$primevue.config.zIndex.modal);\n      }\n      this.isBlocked = true;\n      this.$emit('block');\n    },\n    unblock: function unblock() {\n      var _this = this;\n      !this.isUnstyled && addClass(this.mask, 'p-overlay-mask-leave');\n      if (hasCSSAnimation(this.mask) > 0) {\n        this.mask.addEventListener('animationend', function () {\n          _this.removeMask();\n        });\n      } else {\n        this.removeMask();\n      }\n    },\n    removeMask: function removeMask() {\n      ZIndex.clear(this.mask);\n      if (this.fullScreen) {\n        document.body.removeChild(this.mask);\n        unblockBodyScroll();\n      } else {\n        var _this$$refs$container;\n        (_this$$refs$container = this.$refs.container) === null || _this$$refs$container === void 0 || _this$$refs$container.removeChild(this.mask);\n      }\n      this.isBlocked = false;\n      this.$emit('unblock');\n    }\n  }\n};\n\nvar _hoisted_1 = [\"aria-busy\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    ref: \"container\",\n    \"class\": _ctx.cx('root'),\n    \"aria-busy\": $data.isBlocked\n  }, _ctx.ptmi('root')), [renderSlot(_ctx.$slots, \"default\")], 16, _hoisted_1);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-progressspinner {\\n    position: relative;\\n    margin: 0 auto;\\n    width: 100px;\\n    height: 100px;\\n    display: inline-block;\\n}\\n\\n.p-progressspinner::before {\\n    content: \\\"\\\";\\n    display: block;\\n    padding-top: 100%;\\n}\\n\\n.p-progressspinner-spin {\\n    height: 100%;\\n    transform-origin: center center;\\n    width: 100%;\\n    position: absolute;\\n    top: 0;\\n    bottom: 0;\\n    left: 0;\\n    right: 0;\\n    margin: auto;\\n    animation: p-progressspinner-rotate 2s linear infinite;\\n}\\n\\n.p-progressspinner-circle {\\n    stroke-dasharray: 89, 200;\\n    stroke-dashoffset: 0;\\n    stroke: \".concat(dt('progressspinner.color.1'), \";\\n    animation: p-progressspinner-dash 1.5s ease-in-out infinite, p-progressspinner-color 6s ease-in-out infinite;\\n    stroke-linecap: round;\\n}\\n\\n@keyframes p-progressspinner-rotate {\\n    100% {\\n        transform: rotate(360deg);\\n    }\\n}\\n@keyframes p-progressspinner-dash {\\n    0% {\\n        stroke-dasharray: 1, 200;\\n        stroke-dashoffset: 0;\\n    }\\n    50% {\\n        stroke-dasharray: 89, 200;\\n        stroke-dashoffset: -35px;\\n    }\\n    100% {\\n        stroke-dasharray: 89, 200;\\n        stroke-dashoffset: -124px;\\n    }\\n}\\n@keyframes p-progressspinner-color {\\n    100%,\\n    0% {\\n        stroke: \").concat(dt('progressspinner.color.1'), \";\\n    }\\n    40% {\\n        stroke: \").concat(dt('progressspinner.color.2'), \";\\n    }\\n    66% {\\n        stroke: \").concat(dt('progressspinner.color.3'), \";\\n    }\\n    80%,\\n    90% {\\n        stroke: \").concat(dt('progressspinner.color.4'), \";\\n    }\\n}\\n\");\n};\nvar classes = {\n  root: 'p-progressspinner',\n  spin: 'p-progressspinner-spin',\n  circle: 'p-progressspinner-circle'\n};\nvar ProgressSpinnerStyle = BaseStyle.extend({\n  name: 'progressspinner',\n  theme: theme,\n  classes: classes\n});\n\nexport { ProgressSpinnerStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport ProgressSpinnerStyle from 'primevue/progressspinner/style';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BaseProgressSpinner',\n  \"extends\": BaseComponent,\n  props: {\n    strokeWidth: {\n      type: String,\n      \"default\": '2'\n    },\n    fill: {\n      type: String,\n      \"default\": 'none'\n    },\n    animationDuration: {\n      type: String,\n      \"default\": '2s'\n    }\n  },\n  style: ProgressSpinnerStyle,\n  provide: function provide() {\n    return {\n      $pcProgressSpinner: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'ProgressSpinner',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  computed: {\n    svgStyle: function svgStyle() {\n      return {\n        'animation-duration': this.animationDuration\n      };\n    }\n  }\n};\n\nvar _hoisted_1 = [\"fill\", \"stroke-width\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root'),\n    role: \"progressbar\"\n  }, _ctx.ptmi('root')), [(openBlock(), createElementBlock(\"svg\", mergeProps({\n    \"class\": _ctx.cx('spin'),\n    viewBox: \"25 25 50 50\",\n    style: $options.svgStyle\n  }, _ctx.ptm('spin')), [createElementVNode(\"circle\", mergeProps({\n    \"class\": _ctx.cx('circle'),\n    cx: \"50\",\n    cy: \"50\",\n    r: \"20\",\n    fill: _ctx.fill,\n    \"stroke-width\": _ctx.strokeWidth,\n    strokeMiterlimit: \"10\"\n  }, _ctx.ptm('circle')), null, 16, _hoisted_1)], 16))], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","var util;\n(function (util) {\n    util.assertEqual = (val) => val;\n    function assertIs(_arg) { }\n    util.assertIs = assertIs;\n    function assertNever(_x) {\n        throw new Error();\n    }\n    util.assertNever = assertNever;\n    util.arrayToEnum = (items) => {\n        const obj = {};\n        for (const item of items) {\n            obj[item] = item;\n        }\n        return obj;\n    };\n    util.getValidEnumValues = (obj) => {\n        const validKeys = util.objectKeys(obj).filter((k) => typeof obj[obj[k]] !== \"number\");\n        const filtered = {};\n        for (const k of validKeys) {\n            filtered[k] = obj[k];\n        }\n        return util.objectValues(filtered);\n    };\n    util.objectValues = (obj) => {\n        return util.objectKeys(obj).map(function (e) {\n            return obj[e];\n        });\n    };\n    util.objectKeys = typeof Object.keys === \"function\" // eslint-disable-line ban/ban\n        ? (obj) => Object.keys(obj) // eslint-disable-line ban/ban\n        : (object) => {\n            const keys = [];\n            for (const key in object) {\n                if (Object.prototype.hasOwnProperty.call(object, key)) {\n                    keys.push(key);\n                }\n            }\n            return keys;\n        };\n    util.find = (arr, checker) => {\n        for (const item of arr) {\n            if (checker(item))\n                return item;\n        }\n        return undefined;\n    };\n    util.isInteger = typeof Number.isInteger === \"function\"\n        ? (val) => Number.isInteger(val) // eslint-disable-line ban/ban\n        : (val) => typeof val === \"number\" && isFinite(val) && Math.floor(val) === val;\n    function joinValues(array, separator = \" | \") {\n        return array\n            .map((val) => (typeof val === \"string\" ? `'${val}'` : val))\n            .join(separator);\n    }\n    util.joinValues = joinValues;\n    util.jsonStringifyReplacer = (_, value) => {\n        if (typeof value === \"bigint\") {\n            return value.toString();\n        }\n        return value;\n    };\n})(util || (util = {}));\nvar objectUtil;\n(function (objectUtil) {\n    objectUtil.mergeShapes = (first, second) => {\n        return {\n            ...first,\n            ...second, // second overwrites first\n        };\n    };\n})(objectUtil || (objectUtil = {}));\nconst ZodParsedType = util.arrayToEnum([\n    \"string\",\n    \"nan\",\n    \"number\",\n    \"integer\",\n    \"float\",\n    \"boolean\",\n    \"date\",\n    \"bigint\",\n    \"symbol\",\n    \"function\",\n    \"undefined\",\n    \"null\",\n    \"array\",\n    \"object\",\n    \"unknown\",\n    \"promise\",\n    \"void\",\n    \"never\",\n    \"map\",\n    \"set\",\n]);\nconst getParsedType = (data) => {\n    const t = typeof data;\n    switch (t) {\n        case \"undefined\":\n            return ZodParsedType.undefined;\n        case \"string\":\n            return ZodParsedType.string;\n        case \"number\":\n            return isNaN(data) ? ZodParsedType.nan : ZodParsedType.number;\n        case \"boolean\":\n            return ZodParsedType.boolean;\n        case \"function\":\n            return ZodParsedType.function;\n        case \"bigint\":\n            return ZodParsedType.bigint;\n        case \"symbol\":\n            return ZodParsedType.symbol;\n        case \"object\":\n            if (Array.isArray(data)) {\n                return ZodParsedType.array;\n            }\n            if (data === null) {\n                return ZodParsedType.null;\n            }\n            if (data.then &&\n                typeof data.then === \"function\" &&\n                data.catch &&\n                typeof data.catch === \"function\") {\n                return ZodParsedType.promise;\n            }\n            if (typeof Map !== \"undefined\" && data instanceof Map) {\n                return ZodParsedType.map;\n            }\n            if (typeof Set !== \"undefined\" && data instanceof Set) {\n                return ZodParsedType.set;\n            }\n            if (typeof Date !== \"undefined\" && data instanceof Date) {\n                return ZodParsedType.date;\n            }\n            return ZodParsedType.object;\n        default:\n            return ZodParsedType.unknown;\n    }\n};\n\nconst ZodIssueCode = util.arrayToEnum([\n    \"invalid_type\",\n    \"invalid_literal\",\n    \"custom\",\n    \"invalid_union\",\n    \"invalid_union_discriminator\",\n    \"invalid_enum_value\",\n    \"unrecognized_keys\",\n    \"invalid_arguments\",\n    \"invalid_return_type\",\n    \"invalid_date\",\n    \"invalid_string\",\n    \"too_small\",\n    \"too_big\",\n    \"invalid_intersection_types\",\n    \"not_multiple_of\",\n    \"not_finite\",\n]);\nconst quotelessJson = (obj) => {\n    const json = JSON.stringify(obj, null, 2);\n    return json.replace(/\"([^\"]+)\":/g, \"$1:\");\n};\nclass ZodError extends Error {\n    constructor(issues) {\n        super();\n        this.issues = [];\n        this.addIssue = (sub) => {\n            this.issues = [...this.issues, sub];\n        };\n        this.addIssues = (subs = []) => {\n            this.issues = [...this.issues, ...subs];\n        };\n        const actualProto = new.target.prototype;\n        if (Object.setPrototypeOf) {\n            // eslint-disable-next-line ban/ban\n            Object.setPrototypeOf(this, actualProto);\n        }\n        else {\n            this.__proto__ = actualProto;\n        }\n        this.name = \"ZodError\";\n        this.issues = issues;\n    }\n    get errors() {\n        return this.issues;\n    }\n    format(_mapper) {\n        const mapper = _mapper ||\n            function (issue) {\n                return issue.message;\n            };\n        const fieldErrors = { _errors: [] };\n        const processError = (error) => {\n            for (const issue of error.issues) {\n                if (issue.code === \"invalid_union\") {\n                    issue.unionErrors.map(processError);\n                }\n                else if (issue.code === \"invalid_return_type\") {\n                    processError(issue.returnTypeError);\n                }\n                else if (issue.code === \"invalid_arguments\") {\n                    processError(issue.argumentsError);\n                }\n                else if (issue.path.length === 0) {\n                    fieldErrors._errors.push(mapper(issue));\n                }\n                else {\n                    let curr = fieldErrors;\n                    let i = 0;\n                    while (i < issue.path.length) {\n                        const el = issue.path[i];\n                        const terminal = i === issue.path.length - 1;\n                        if (!terminal) {\n                            curr[el] = curr[el] || { _errors: [] };\n                            // if (typeof el === \"string\") {\n                            //   curr[el] = curr[el] || { _errors: [] };\n                            // } else if (typeof el === \"number\") {\n                            //   const errorArray: any = [];\n                            //   errorArray._errors = [];\n                            //   curr[el] = curr[el] || errorArray;\n                            // }\n                        }\n                        else {\n                            curr[el] = curr[el] || { _errors: [] };\n                            curr[el]._errors.push(mapper(issue));\n                        }\n                        curr = curr[el];\n                        i++;\n                    }\n                }\n            }\n        };\n        processError(this);\n        return fieldErrors;\n    }\n    static assert(value) {\n        if (!(value instanceof ZodError)) {\n            throw new Error(`Not a ZodError: ${value}`);\n        }\n    }\n    toString() {\n        return this.message;\n    }\n    get message() {\n        return JSON.stringify(this.issues, util.jsonStringifyReplacer, 2);\n    }\n    get isEmpty() {\n        return this.issues.length === 0;\n    }\n    flatten(mapper = (issue) => issue.message) {\n        const fieldErrors = {};\n        const formErrors = [];\n        for (const sub of this.issues) {\n            if (sub.path.length > 0) {\n                fieldErrors[sub.path[0]] = fieldErrors[sub.path[0]] || [];\n                fieldErrors[sub.path[0]].push(mapper(sub));\n            }\n            else {\n                formErrors.push(mapper(sub));\n            }\n        }\n        return { formErrors, fieldErrors };\n    }\n    get formErrors() {\n        return this.flatten();\n    }\n}\nZodError.create = (issues) => {\n    const error = new ZodError(issues);\n    return error;\n};\n\nconst errorMap = (issue, _ctx) => {\n    let message;\n    switch (issue.code) {\n        case ZodIssueCode.invalid_type:\n            if (issue.received === ZodParsedType.undefined) {\n                message = \"Required\";\n            }\n            else {\n                message = `Expected ${issue.expected}, received ${issue.received}`;\n            }\n            break;\n        case ZodIssueCode.invalid_literal:\n            message = `Invalid literal value, expected ${JSON.stringify(issue.expected, util.jsonStringifyReplacer)}`;\n            break;\n        case ZodIssueCode.unrecognized_keys:\n            message = `Unrecognized key(s) in object: ${util.joinValues(issue.keys, \", \")}`;\n            break;\n        case ZodIssueCode.invalid_union:\n            message = `Invalid input`;\n            break;\n        case ZodIssueCode.invalid_union_discriminator:\n            message = `Invalid discriminator value. Expected ${util.joinValues(issue.options)}`;\n            break;\n        case ZodIssueCode.invalid_enum_value:\n            message = `Invalid enum value. Expected ${util.joinValues(issue.options)}, received '${issue.received}'`;\n            break;\n        case ZodIssueCode.invalid_arguments:\n            message = `Invalid function arguments`;\n            break;\n        case ZodIssueCode.invalid_return_type:\n            message = `Invalid function return type`;\n            break;\n        case ZodIssueCode.invalid_date:\n            message = `Invalid date`;\n            break;\n        case ZodIssueCode.invalid_string:\n            if (typeof issue.validation === \"object\") {\n                if (\"includes\" in issue.validation) {\n                    message = `Invalid input: must include \"${issue.validation.includes}\"`;\n                    if (typeof issue.validation.position === \"number\") {\n                        message = `${message} at one or more positions greater than or equal to ${issue.validation.position}`;\n                    }\n                }\n                else if (\"startsWith\" in issue.validation) {\n                    message = `Invalid input: must start with \"${issue.validation.startsWith}\"`;\n                }\n                else if (\"endsWith\" in issue.validation) {\n                    message = `Invalid input: must end with \"${issue.validation.endsWith}\"`;\n                }\n                else {\n                    util.assertNever(issue.validation);\n                }\n            }\n            else if (issue.validation !== \"regex\") {\n                message = `Invalid ${issue.validation}`;\n            }\n            else {\n                message = \"Invalid\";\n            }\n            break;\n        case ZodIssueCode.too_small:\n            if (issue.type === \"array\")\n                message = `Array must contain ${issue.exact ? \"exactly\" : issue.inclusive ? `at least` : `more than`} ${issue.minimum} element(s)`;\n            else if (issue.type === \"string\")\n                message = `String must contain ${issue.exact ? \"exactly\" : issue.inclusive ? `at least` : `over`} ${issue.minimum} character(s)`;\n            else if (issue.type === \"number\")\n                message = `Number must be ${issue.exact\n                    ? `exactly equal to `\n                    : issue.inclusive\n                        ? `greater than or equal to `\n                        : `greater than `}${issue.minimum}`;\n            else if (issue.type === \"date\")\n                message = `Date must be ${issue.exact\n                    ? `exactly equal to `\n                    : issue.inclusive\n                        ? `greater than or equal to `\n                        : `greater than `}${new Date(Number(issue.minimum))}`;\n            else\n                message = \"Invalid input\";\n            break;\n        case ZodIssueCode.too_big:\n            if (issue.type === \"array\")\n                message = `Array must contain ${issue.exact ? `exactly` : issue.inclusive ? `at most` : `less than`} ${issue.maximum} element(s)`;\n            else if (issue.type === \"string\")\n                message = `String must contain ${issue.exact ? `exactly` : issue.inclusive ? `at most` : `under`} ${issue.maximum} character(s)`;\n            else if (issue.type === \"number\")\n                message = `Number must be ${issue.exact\n                    ? `exactly`\n                    : issue.inclusive\n                        ? `less than or equal to`\n                        : `less than`} ${issue.maximum}`;\n            else if (issue.type === \"bigint\")\n                message = `BigInt must be ${issue.exact\n                    ? `exactly`\n                    : issue.inclusive\n                        ? `less than or equal to`\n                        : `less than`} ${issue.maximum}`;\n            else if (issue.type === \"date\")\n                message = `Date must be ${issue.exact\n                    ? `exactly`\n                    : issue.inclusive\n                        ? `smaller than or equal to`\n                        : `smaller than`} ${new Date(Number(issue.maximum))}`;\n            else\n                message = \"Invalid input\";\n            break;\n        case ZodIssueCode.custom:\n            message = `Invalid input`;\n            break;\n        case ZodIssueCode.invalid_intersection_types:\n            message = `Intersection results could not be merged`;\n            break;\n        case ZodIssueCode.not_multiple_of:\n            message = `Number must be a multiple of ${issue.multipleOf}`;\n            break;\n        case ZodIssueCode.not_finite:\n            message = \"Number must be finite\";\n            break;\n        default:\n            message = _ctx.defaultError;\n            util.assertNever(issue);\n    }\n    return { message };\n};\n\nlet overrideErrorMap = errorMap;\nfunction setErrorMap(map) {\n    overrideErrorMap = map;\n}\nfunction getErrorMap() {\n    return overrideErrorMap;\n}\n\nconst makeIssue = (params) => {\n    const { data, path, errorMaps, issueData } = params;\n    const fullPath = [...path, ...(issueData.path || [])];\n    const fullIssue = {\n        ...issueData,\n        path: fullPath,\n    };\n    if (issueData.message !== undefined) {\n        return {\n            ...issueData,\n            path: fullPath,\n            message: issueData.message,\n        };\n    }\n    let errorMessage = \"\";\n    const maps = errorMaps\n        .filter((m) => !!m)\n        .slice()\n        .reverse();\n    for (const map of maps) {\n        errorMessage = map(fullIssue, { data, defaultError: errorMessage }).message;\n    }\n    return {\n        ...issueData,\n        path: fullPath,\n        message: errorMessage,\n    };\n};\nconst EMPTY_PATH = [];\nfunction addIssueToContext(ctx, issueData) {\n    const overrideMap = getErrorMap();\n    const issue = makeIssue({\n        issueData: issueData,\n        data: ctx.data,\n        path: ctx.path,\n        errorMaps: [\n            ctx.common.contextualErrorMap,\n            ctx.schemaErrorMap,\n            overrideMap,\n            overrideMap === errorMap ? undefined : errorMap, // then global default map\n        ].filter((x) => !!x),\n    });\n    ctx.common.issues.push(issue);\n}\nclass ParseStatus {\n    constructor() {\n        this.value = \"valid\";\n    }\n    dirty() {\n        if (this.value === \"valid\")\n            this.value = \"dirty\";\n    }\n    abort() {\n        if (this.value !== \"aborted\")\n            this.value = \"aborted\";\n    }\n    static mergeArray(status, results) {\n        const arrayValue = [];\n        for (const s of results) {\n            if (s.status === \"aborted\")\n                return INVALID;\n            if (s.status === \"dirty\")\n                status.dirty();\n            arrayValue.push(s.value);\n        }\n        return { status: status.value, value: arrayValue };\n    }\n    static async mergeObjectAsync(status, pairs) {\n        const syncPairs = [];\n        for (const pair of pairs) {\n            const key = await pair.key;\n            const value = await pair.value;\n            syncPairs.push({\n                key,\n                value,\n            });\n        }\n        return ParseStatus.mergeObjectSync(status, syncPairs);\n    }\n    static mergeObjectSync(status, pairs) {\n        const finalObject = {};\n        for (const pair of pairs) {\n            const { key, value } = pair;\n            if (key.status === \"aborted\")\n                return INVALID;\n            if (value.status === \"aborted\")\n                return INVALID;\n            if (key.status === \"dirty\")\n                status.dirty();\n            if (value.status === \"dirty\")\n                status.dirty();\n            if (key.value !== \"__proto__\" &&\n                (typeof value.value !== \"undefined\" || pair.alwaysSet)) {\n                finalObject[key.value] = value.value;\n            }\n        }\n        return { status: status.value, value: finalObject };\n    }\n}\nconst INVALID = Object.freeze({\n    status: \"aborted\",\n});\nconst DIRTY = (value) => ({ status: \"dirty\", value });\nconst OK = (value) => ({ status: \"valid\", value });\nconst isAborted = (x) => x.status === \"aborted\";\nconst isDirty = (x) => x.status === \"dirty\";\nconst isValid = (x) => x.status === \"valid\";\nconst isAsync = (x) => typeof Promise !== \"undefined\" && x instanceof Promise;\n\n/******************************************************************************\r\nCopyright (c) Microsoft Corporation.\r\n\r\nPermission to use, copy, modify, and/or distribute this software for any\r\npurpose with or without fee is hereby granted.\r\n\r\nTHE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\r\nREGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\r\nAND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\r\nINDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\r\nLOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\r\nOTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\r\nPERFORMANCE OF THIS SOFTWARE.\r\n***************************************************************************** */\r\n\r\nfunction __classPrivateFieldGet(receiver, state, kind, f) {\r\n    if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a getter\");\r\n    if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\r\n    return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\r\n}\r\n\r\nfunction __classPrivateFieldSet(receiver, state, value, kind, f) {\r\n    if (kind === \"m\") throw new TypeError(\"Private method is not writable\");\r\n    if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a setter\");\r\n    if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\r\n    return (kind === \"a\" ? f.call(receiver, value) : f ? f.value = value : state.set(receiver, value)), value;\r\n}\r\n\r\ntypeof SuppressedError === \"function\" ? SuppressedError : function (error, suppressed, message) {\r\n    var e = new Error(message);\r\n    return e.name = \"SuppressedError\", e.error = error, e.suppressed = suppressed, e;\r\n};\n\nvar errorUtil;\n(function (errorUtil) {\n    errorUtil.errToObj = (message) => typeof message === \"string\" ? { message } : message || {};\n    errorUtil.toString = (message) => typeof message === \"string\" ? message : message === null || message === void 0 ? void 0 : message.message;\n})(errorUtil || (errorUtil = {}));\n\nvar _ZodEnum_cache, _ZodNativeEnum_cache;\nclass ParseInputLazyPath {\n    constructor(parent, value, path, key) {\n        this._cachedPath = [];\n        this.parent = parent;\n        this.data = value;\n        this._path = path;\n        this._key = key;\n    }\n    get path() {\n        if (!this._cachedPath.length) {\n            if (this._key instanceof Array) {\n                this._cachedPath.push(...this._path, ...this._key);\n            }\n            else {\n                this._cachedPath.push(...this._path, this._key);\n            }\n        }\n        return this._cachedPath;\n    }\n}\nconst handleResult = (ctx, result) => {\n    if (isValid(result)) {\n        return { success: true, data: result.value };\n    }\n    else {\n        if (!ctx.common.issues.length) {\n            throw new Error(\"Validation failed but no issues detected.\");\n        }\n        return {\n            success: false,\n            get error() {\n                if (this._error)\n                    return this._error;\n                const error = new ZodError(ctx.common.issues);\n                this._error = error;\n                return this._error;\n            },\n        };\n    }\n};\nfunction processCreateParams(params) {\n    if (!params)\n        return {};\n    const { errorMap, invalid_type_error, required_error, description } = params;\n    if (errorMap && (invalid_type_error || required_error)) {\n        throw new Error(`Can't use \"invalid_type_error\" or \"required_error\" in conjunction with custom error map.`);\n    }\n    if (errorMap)\n        return { errorMap: errorMap, description };\n    const customMap = (iss, ctx) => {\n        var _a, _b;\n        const { message } = params;\n        if (iss.code === \"invalid_enum_value\") {\n            return { message: message !== null && message !== void 0 ? message : ctx.defaultError };\n        }\n        if (typeof ctx.data === \"undefined\") {\n            return { message: (_a = message !== null && message !== void 0 ? message : required_error) !== null && _a !== void 0 ? _a : ctx.defaultError };\n        }\n        if (iss.code !== \"invalid_type\")\n            return { message: ctx.defaultError };\n        return { message: (_b = message !== null && message !== void 0 ? message : invalid_type_error) !== null && _b !== void 0 ? _b : ctx.defaultError };\n    };\n    return { errorMap: customMap, description };\n}\nclass ZodType {\n    constructor(def) {\n        /** Alias of safeParseAsync */\n        this.spa = this.safeParseAsync;\n        this._def = def;\n        this.parse = this.parse.bind(this);\n        this.safeParse = this.safeParse.bind(this);\n        this.parseAsync = this.parseAsync.bind(this);\n        this.safeParseAsync = this.safeParseAsync.bind(this);\n        this.spa = this.spa.bind(this);\n        this.refine = this.refine.bind(this);\n        this.refinement = this.refinement.bind(this);\n        this.superRefine = this.superRefine.bind(this);\n        this.optional = this.optional.bind(this);\n        this.nullable = this.nullable.bind(this);\n        this.nullish = this.nullish.bind(this);\n        this.array = this.array.bind(this);\n        this.promise = this.promise.bind(this);\n        this.or = this.or.bind(this);\n        this.and = this.and.bind(this);\n        this.transform = this.transform.bind(this);\n        this.brand = this.brand.bind(this);\n        this.default = this.default.bind(this);\n        this.catch = this.catch.bind(this);\n        this.describe = this.describe.bind(this);\n        this.pipe = this.pipe.bind(this);\n        this.readonly = this.readonly.bind(this);\n        this.isNullable = this.isNullable.bind(this);\n        this.isOptional = this.isOptional.bind(this);\n    }\n    get description() {\n        return this._def.description;\n    }\n    _getType(input) {\n        return getParsedType(input.data);\n    }\n    _getOrReturnCtx(input, ctx) {\n        return (ctx || {\n            common: input.parent.common,\n            data: input.data,\n            parsedType: getParsedType(input.data),\n            schemaErrorMap: this._def.errorMap,\n            path: input.path,\n            parent: input.parent,\n        });\n    }\n    _processInputParams(input) {\n        return {\n            status: new ParseStatus(),\n            ctx: {\n                common: input.parent.common,\n                data: input.data,\n                parsedType: getParsedType(input.data),\n                schemaErrorMap: this._def.errorMap,\n                path: input.path,\n                parent: input.parent,\n            },\n        };\n    }\n    _parseSync(input) {\n        const result = this._parse(input);\n        if (isAsync(result)) {\n            throw new Error(\"Synchronous parse encountered promise.\");\n        }\n        return result;\n    }\n    _parseAsync(input) {\n        const result = this._parse(input);\n        return Promise.resolve(result);\n    }\n    parse(data, params) {\n        const result = this.safeParse(data, params);\n        if (result.success)\n            return result.data;\n        throw result.error;\n    }\n    safeParse(data, params) {\n        var _a;\n        const ctx = {\n            common: {\n                issues: [],\n                async: (_a = params === null || params === void 0 ? void 0 : params.async) !== null && _a !== void 0 ? _a : false,\n                contextualErrorMap: params === null || params === void 0 ? void 0 : params.errorMap,\n            },\n            path: (params === null || params === void 0 ? void 0 : params.path) || [],\n            schemaErrorMap: this._def.errorMap,\n            parent: null,\n            data,\n            parsedType: getParsedType(data),\n        };\n        const result = this._parseSync({ data, path: ctx.path, parent: ctx });\n        return handleResult(ctx, result);\n    }\n    async parseAsync(data, params) {\n        const result = await this.safeParseAsync(data, params);\n        if (result.success)\n            return result.data;\n        throw result.error;\n    }\n    async safeParseAsync(data, params) {\n        const ctx = {\n            common: {\n                issues: [],\n                contextualErrorMap: params === null || params === void 0 ? void 0 : params.errorMap,\n                async: true,\n            },\n            path: (params === null || params === void 0 ? void 0 : params.path) || [],\n            schemaErrorMap: this._def.errorMap,\n            parent: null,\n            data,\n            parsedType: getParsedType(data),\n        };\n        const maybeAsyncResult = this._parse({ data, path: ctx.path, parent: ctx });\n        const result = await (isAsync(maybeAsyncResult)\n            ? maybeAsyncResult\n            : Promise.resolve(maybeAsyncResult));\n        return handleResult(ctx, result);\n    }\n    refine(check, message) {\n        const getIssueProperties = (val) => {\n            if (typeof message === \"string\" || typeof message === \"undefined\") {\n                return { message };\n            }\n            else if (typeof message === \"function\") {\n                return message(val);\n            }\n            else {\n                return message;\n            }\n        };\n        return this._refinement((val, ctx) => {\n            const result = check(val);\n            const setError = () => ctx.addIssue({\n                code: ZodIssueCode.custom,\n                ...getIssueProperties(val),\n            });\n            if (typeof Promise !== \"undefined\" && result instanceof Promise) {\n                return result.then((data) => {\n                    if (!data) {\n                        setError();\n                        return false;\n                    }\n                    else {\n                        return true;\n                    }\n                });\n            }\n            if (!result) {\n                setError();\n                return false;\n            }\n            else {\n                return true;\n            }\n        });\n    }\n    refinement(check, refinementData) {\n        return this._refinement((val, ctx) => {\n            if (!check(val)) {\n                ctx.addIssue(typeof refinementData === \"function\"\n                    ? refinementData(val, ctx)\n                    : refinementData);\n                return false;\n            }\n            else {\n                return true;\n            }\n        });\n    }\n    _refinement(refinement) {\n        return new ZodEffects({\n            schema: this,\n            typeName: ZodFirstPartyTypeKind.ZodEffects,\n            effect: { type: \"refinement\", refinement },\n        });\n    }\n    superRefine(refinement) {\n        return this._refinement(refinement);\n    }\n    optional() {\n        return ZodOptional.create(this, this._def);\n    }\n    nullable() {\n        return ZodNullable.create(this, this._def);\n    }\n    nullish() {\n        return this.nullable().optional();\n    }\n    array() {\n        return ZodArray.create(this, this._def);\n    }\n    promise() {\n        return ZodPromise.create(this, this._def);\n    }\n    or(option) {\n        return ZodUnion.create([this, option], this._def);\n    }\n    and(incoming) {\n        return ZodIntersection.create(this, incoming, this._def);\n    }\n    transform(transform) {\n        return new ZodEffects({\n            ...processCreateParams(this._def),\n            schema: this,\n            typeName: ZodFirstPartyTypeKind.ZodEffects,\n            effect: { type: \"transform\", transform },\n        });\n    }\n    default(def) {\n        const defaultValueFunc = typeof def === \"function\" ? def : () => def;\n        return new ZodDefault({\n            ...processCreateParams(this._def),\n            innerType: this,\n            defaultValue: defaultValueFunc,\n            typeName: ZodFirstPartyTypeKind.ZodDefault,\n        });\n    }\n    brand() {\n        return new ZodBranded({\n            typeName: ZodFirstPartyTypeKind.ZodBranded,\n            type: this,\n            ...processCreateParams(this._def),\n        });\n    }\n    catch(def) {\n        const catchValueFunc = typeof def === \"function\" ? def : () => def;\n        return new ZodCatch({\n            ...processCreateParams(this._def),\n            innerType: this,\n            catchValue: catchValueFunc,\n            typeName: ZodFirstPartyTypeKind.ZodCatch,\n        });\n    }\n    describe(description) {\n        const This = this.constructor;\n        return new This({\n            ...this._def,\n            description,\n        });\n    }\n    pipe(target) {\n        return ZodPipeline.create(this, target);\n    }\n    readonly() {\n        return ZodReadonly.create(this);\n    }\n    isOptional() {\n        return this.safeParse(undefined).success;\n    }\n    isNullable() {\n        return this.safeParse(null).success;\n    }\n}\nconst cuidRegex = /^c[^\\s-]{8,}$/i;\nconst cuid2Regex = /^[0-9a-z]+$/;\nconst ulidRegex = /^[0-9A-HJKMNP-TV-Z]{26}$/;\n// const uuidRegex =\n//   /^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i;\nconst uuidRegex = /^[0-9a-fA-F]{8}\\b-[0-9a-fA-F]{4}\\b-[0-9a-fA-F]{4}\\b-[0-9a-fA-F]{4}\\b-[0-9a-fA-F]{12}$/i;\nconst nanoidRegex = /^[a-z0-9_-]{21}$/i;\nconst durationRegex = /^[-+]?P(?!$)(?:(?:[-+]?\\d+Y)|(?:[-+]?\\d+[.,]\\d+Y$))?(?:(?:[-+]?\\d+M)|(?:[-+]?\\d+[.,]\\d+M$))?(?:(?:[-+]?\\d+W)|(?:[-+]?\\d+[.,]\\d+W$))?(?:(?:[-+]?\\d+D)|(?:[-+]?\\d+[.,]\\d+D$))?(?:T(?=[\\d+-])(?:(?:[-+]?\\d+H)|(?:[-+]?\\d+[.,]\\d+H$))?(?:(?:[-+]?\\d+M)|(?:[-+]?\\d+[.,]\\d+M$))?(?:[-+]?\\d+(?:[.,]\\d+)?S)?)??$/;\n// from https://stackoverflow.com/a/46181/1550155\n// old version: too slow, didn't support unicode\n// const emailRegex = /^((([a-z]|\\d|[!#\\$%&'\\*\\+\\-\\/=\\?\\^_`{\\|}~]|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])+(\\.([a-z]|\\d|[!#\\$%&'\\*\\+\\-\\/=\\?\\^_`{\\|}~]|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])+)*)|((\\x22)((((\\x20|\\x09)*(\\x0d\\x0a))?(\\x20|\\x09)+)?(([\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x7f]|\\x21|[\\x23-\\x5b]|[\\x5d-\\x7e]|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])|(\\\\([\\x01-\\x09\\x0b\\x0c\\x0d-\\x7f]|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF]))))*(((\\x20|\\x09)*(\\x0d\\x0a))?(\\x20|\\x09)+)?(\\x22)))@((([a-z]|\\d|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])|(([a-z]|\\d|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])([a-z]|\\d|-|\\.|_|~|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])*([a-z]|\\d|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])))\\.)+(([a-z]|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])|(([a-z]|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])([a-z]|\\d|-|\\.|_|~|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])*([a-z]|[\\u00A0-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF])))$/i;\n//old email regex\n// const emailRegex = /^(([^<>()[\\].,;:\\s@\"]+(\\.[^<>()[\\].,;:\\s@\"]+)*)|(\".+\"))@((?!-)([^<>()[\\].,;:\\s@\"]+\\.)+[^<>()[\\].,;:\\s@\"]{1,})[^-<>()[\\].,;:\\s@\"]$/i;\n// eslint-disable-next-line\n// const emailRegex =\n//   /^(([^<>()[\\]\\\\.,;:\\s@\\\"]+(\\.[^<>()[\\]\\\\.,;:\\s@\\\"]+)*)|(\\\".+\\\"))@((\\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\\])|(\\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\\.[A-Za-z]{2,})+))$/;\n// const emailRegex =\n//   /^[a-zA-Z0-9\\.\\!\\#\\$\\%\\&\\'\\*\\+\\/\\=\\?\\^\\_\\`\\{\\|\\}\\~\\-]+@[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)*$/;\n// const emailRegex =\n//   /^(?:[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*|\"(?:[\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x21\\x23-\\x5b\\x5d-\\x7f]|\\\\[\\x01-\\x09\\x0b\\x0c\\x0e-\\x7f])*\")@(?:(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?|\\[(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?|[a-z0-9-]*[a-z0-9]:(?:[\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x21-\\x5a\\x53-\\x7f]|\\\\[\\x01-\\x09\\x0b\\x0c\\x0e-\\x7f])+)\\])$/i;\nconst emailRegex = /^(?!\\.)(?!.*\\.\\.)([A-Z0-9_'+\\-\\.]*)[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\\-]*\\.)+[A-Z]{2,}$/i;\n// const emailRegex =\n//   /^[a-z0-9.!#$%&’*+/=?^_`{|}~-]+@[a-z0-9-]+(?:\\.[a-z0-9\\-]+)*$/i;\n// from https://thekevinscott.com/emojis-in-javascript/#writing-a-regular-expression\nconst _emojiRegex = `^(\\\\p{Extended_Pictographic}|\\\\p{Emoji_Component})+$`;\nlet emojiRegex;\n// faster, simpler, safer\nconst ipv4Regex = /^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])$/;\nconst ipv6Regex = /^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/;\n// https://stackoverflow.com/questions/7860392/determine-if-string-is-in-base64-using-javascript\nconst base64Regex = /^([0-9a-zA-Z+/]{4})*(([0-9a-zA-Z+/]{2}==)|([0-9a-zA-Z+/]{3}=))?$/;\n// simple\n// const dateRegexSource = `\\\\d{4}-\\\\d{2}-\\\\d{2}`;\n// no leap year validation\n// const dateRegexSource = `\\\\d{4}-((0[13578]|10|12)-31|(0[13-9]|1[0-2])-30|(0[1-9]|1[0-2])-(0[1-9]|1\\\\d|2\\\\d))`;\n// with leap year validation\nconst dateRegexSource = `((\\\\d\\\\d[2468][048]|\\\\d\\\\d[13579][26]|\\\\d\\\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\\\d{4}-((0[13578]|1[02])-(0[1-9]|[12]\\\\d|3[01])|(0[469]|11)-(0[1-9]|[12]\\\\d|30)|(02)-(0[1-9]|1\\\\d|2[0-8])))`;\nconst dateRegex = new RegExp(`^${dateRegexSource}$`);\nfunction timeRegexSource(args) {\n    // let regex = `\\\\d{2}:\\\\d{2}:\\\\d{2}`;\n    let regex = `([01]\\\\d|2[0-3]):[0-5]\\\\d:[0-5]\\\\d`;\n    if (args.precision) {\n        regex = `${regex}\\\\.\\\\d{${args.precision}}`;\n    }\n    else if (args.precision == null) {\n        regex = `${regex}(\\\\.\\\\d+)?`;\n    }\n    return regex;\n}\nfunction timeRegex(args) {\n    return new RegExp(`^${timeRegexSource(args)}$`);\n}\n// Adapted from https://stackoverflow.com/a/3143231\nfunction datetimeRegex(args) {\n    let regex = `${dateRegexSource}T${timeRegexSource(args)}`;\n    const opts = [];\n    opts.push(args.local ? `Z?` : `Z`);\n    if (args.offset)\n        opts.push(`([+-]\\\\d{2}:?\\\\d{2})`);\n    regex = `${regex}(${opts.join(\"|\")})`;\n    return new RegExp(`^${regex}$`);\n}\nfunction isValidIP(ip, version) {\n    if ((version === \"v4\" || !version) && ipv4Regex.test(ip)) {\n        return true;\n    }\n    if ((version === \"v6\" || !version) && ipv6Regex.test(ip)) {\n        return true;\n    }\n    return false;\n}\nclass ZodString extends ZodType {\n    _parse(input) {\n        if (this._def.coerce) {\n            input.data = String(input.data);\n        }\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.string) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.string,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        const status = new ParseStatus();\n        let ctx = undefined;\n        for (const check of this._def.checks) {\n            if (check.kind === \"min\") {\n                if (input.data.length < check.value) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.too_small,\n                        minimum: check.value,\n                        type: \"string\",\n                        inclusive: true,\n                        exact: false,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"max\") {\n                if (input.data.length > check.value) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.too_big,\n                        maximum: check.value,\n                        type: \"string\",\n                        inclusive: true,\n                        exact: false,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"length\") {\n                const tooBig = input.data.length > check.value;\n                const tooSmall = input.data.length < check.value;\n                if (tooBig || tooSmall) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    if (tooBig) {\n                        addIssueToContext(ctx, {\n                            code: ZodIssueCode.too_big,\n                            maximum: check.value,\n                            type: \"string\",\n                            inclusive: true,\n                            exact: true,\n                            message: check.message,\n                        });\n                    }\n                    else if (tooSmall) {\n                        addIssueToContext(ctx, {\n                            code: ZodIssueCode.too_small,\n                            minimum: check.value,\n                            type: \"string\",\n                            inclusive: true,\n                            exact: true,\n                            message: check.message,\n                        });\n                    }\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"email\") {\n                if (!emailRegex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"email\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"emoji\") {\n                if (!emojiRegex) {\n                    emojiRegex = new RegExp(_emojiRegex, \"u\");\n                }\n                if (!emojiRegex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"emoji\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"uuid\") {\n                if (!uuidRegex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"uuid\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"nanoid\") {\n                if (!nanoidRegex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"nanoid\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"cuid\") {\n                if (!cuidRegex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"cuid\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"cuid2\") {\n                if (!cuid2Regex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"cuid2\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"ulid\") {\n                if (!ulidRegex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"ulid\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"url\") {\n                try {\n                    new URL(input.data);\n                }\n                catch (_a) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"url\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"regex\") {\n                check.regex.lastIndex = 0;\n                const testResult = check.regex.test(input.data);\n                if (!testResult) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"regex\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"trim\") {\n                input.data = input.data.trim();\n            }\n            else if (check.kind === \"includes\") {\n                if (!input.data.includes(check.value, check.position)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.invalid_string,\n                        validation: { includes: check.value, position: check.position },\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"toLowerCase\") {\n                input.data = input.data.toLowerCase();\n            }\n            else if (check.kind === \"toUpperCase\") {\n                input.data = input.data.toUpperCase();\n            }\n            else if (check.kind === \"startsWith\") {\n                if (!input.data.startsWith(check.value)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.invalid_string,\n                        validation: { startsWith: check.value },\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"endsWith\") {\n                if (!input.data.endsWith(check.value)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.invalid_string,\n                        validation: { endsWith: check.value },\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"datetime\") {\n                const regex = datetimeRegex(check);\n                if (!regex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.invalid_string,\n                        validation: \"datetime\",\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"date\") {\n                const regex = dateRegex;\n                if (!regex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.invalid_string,\n                        validation: \"date\",\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"time\") {\n                const regex = timeRegex(check);\n                if (!regex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.invalid_string,\n                        validation: \"time\",\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"duration\") {\n                if (!durationRegex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"duration\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"ip\") {\n                if (!isValidIP(input.data, check.version)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"ip\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"base64\") {\n                if (!base64Regex.test(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        validation: \"base64\",\n                        code: ZodIssueCode.invalid_string,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else {\n                util.assertNever(check);\n            }\n        }\n        return { status: status.value, value: input.data };\n    }\n    _regex(regex, validation, message) {\n        return this.refinement((data) => regex.test(data), {\n            validation,\n            code: ZodIssueCode.invalid_string,\n            ...errorUtil.errToObj(message),\n        });\n    }\n    _addCheck(check) {\n        return new ZodString({\n            ...this._def,\n            checks: [...this._def.checks, check],\n        });\n    }\n    email(message) {\n        return this._addCheck({ kind: \"email\", ...errorUtil.errToObj(message) });\n    }\n    url(message) {\n        return this._addCheck({ kind: \"url\", ...errorUtil.errToObj(message) });\n    }\n    emoji(message) {\n        return this._addCheck({ kind: \"emoji\", ...errorUtil.errToObj(message) });\n    }\n    uuid(message) {\n        return this._addCheck({ kind: \"uuid\", ...errorUtil.errToObj(message) });\n    }\n    nanoid(message) {\n        return this._addCheck({ kind: \"nanoid\", ...errorUtil.errToObj(message) });\n    }\n    cuid(message) {\n        return this._addCheck({ kind: \"cuid\", ...errorUtil.errToObj(message) });\n    }\n    cuid2(message) {\n        return this._addCheck({ kind: \"cuid2\", ...errorUtil.errToObj(message) });\n    }\n    ulid(message) {\n        return this._addCheck({ kind: \"ulid\", ...errorUtil.errToObj(message) });\n    }\n    base64(message) {\n        return this._addCheck({ kind: \"base64\", ...errorUtil.errToObj(message) });\n    }\n    ip(options) {\n        return this._addCheck({ kind: \"ip\", ...errorUtil.errToObj(options) });\n    }\n    datetime(options) {\n        var _a, _b;\n        if (typeof options === \"string\") {\n            return this._addCheck({\n                kind: \"datetime\",\n                precision: null,\n                offset: false,\n                local: false,\n                message: options,\n            });\n        }\n        return this._addCheck({\n            kind: \"datetime\",\n            precision: typeof (options === null || options === void 0 ? void 0 : options.precision) === \"undefined\" ? null : options === null || options === void 0 ? void 0 : options.precision,\n            offset: (_a = options === null || options === void 0 ? void 0 : options.offset) !== null && _a !== void 0 ? _a : false,\n            local: (_b = options === null || options === void 0 ? void 0 : options.local) !== null && _b !== void 0 ? _b : false,\n            ...errorUtil.errToObj(options === null || options === void 0 ? void 0 : options.message),\n        });\n    }\n    date(message) {\n        return this._addCheck({ kind: \"date\", message });\n    }\n    time(options) {\n        if (typeof options === \"string\") {\n            return this._addCheck({\n                kind: \"time\",\n                precision: null,\n                message: options,\n            });\n        }\n        return this._addCheck({\n            kind: \"time\",\n            precision: typeof (options === null || options === void 0 ? void 0 : options.precision) === \"undefined\" ? null : options === null || options === void 0 ? void 0 : options.precision,\n            ...errorUtil.errToObj(options === null || options === void 0 ? void 0 : options.message),\n        });\n    }\n    duration(message) {\n        return this._addCheck({ kind: \"duration\", ...errorUtil.errToObj(message) });\n    }\n    regex(regex, message) {\n        return this._addCheck({\n            kind: \"regex\",\n            regex: regex,\n            ...errorUtil.errToObj(message),\n        });\n    }\n    includes(value, options) {\n        return this._addCheck({\n            kind: \"includes\",\n            value: value,\n            position: options === null || options === void 0 ? void 0 : options.position,\n            ...errorUtil.errToObj(options === null || options === void 0 ? void 0 : options.message),\n        });\n    }\n    startsWith(value, message) {\n        return this._addCheck({\n            kind: \"startsWith\",\n            value: value,\n            ...errorUtil.errToObj(message),\n        });\n    }\n    endsWith(value, message) {\n        return this._addCheck({\n            kind: \"endsWith\",\n            value: value,\n            ...errorUtil.errToObj(message),\n        });\n    }\n    min(minLength, message) {\n        return this._addCheck({\n            kind: \"min\",\n            value: minLength,\n            ...errorUtil.errToObj(message),\n        });\n    }\n    max(maxLength, message) {\n        return this._addCheck({\n            kind: \"max\",\n            value: maxLength,\n            ...errorUtil.errToObj(message),\n        });\n    }\n    length(len, message) {\n        return this._addCheck({\n            kind: \"length\",\n            value: len,\n            ...errorUtil.errToObj(message),\n        });\n    }\n    /**\n     * @deprecated Use z.string().min(1) instead.\n     * @see {@link ZodString.min}\n     */\n    nonempty(message) {\n        return this.min(1, errorUtil.errToObj(message));\n    }\n    trim() {\n        return new ZodString({\n            ...this._def,\n            checks: [...this._def.checks, { kind: \"trim\" }],\n        });\n    }\n    toLowerCase() {\n        return new ZodString({\n            ...this._def,\n            checks: [...this._def.checks, { kind: \"toLowerCase\" }],\n        });\n    }\n    toUpperCase() {\n        return new ZodString({\n            ...this._def,\n            checks: [...this._def.checks, { kind: \"toUpperCase\" }],\n        });\n    }\n    get isDatetime() {\n        return !!this._def.checks.find((ch) => ch.kind === \"datetime\");\n    }\n    get isDate() {\n        return !!this._def.checks.find((ch) => ch.kind === \"date\");\n    }\n    get isTime() {\n        return !!this._def.checks.find((ch) => ch.kind === \"time\");\n    }\n    get isDuration() {\n        return !!this._def.checks.find((ch) => ch.kind === \"duration\");\n    }\n    get isEmail() {\n        return !!this._def.checks.find((ch) => ch.kind === \"email\");\n    }\n    get isURL() {\n        return !!this._def.checks.find((ch) => ch.kind === \"url\");\n    }\n    get isEmoji() {\n        return !!this._def.checks.find((ch) => ch.kind === \"emoji\");\n    }\n    get isUUID() {\n        return !!this._def.checks.find((ch) => ch.kind === \"uuid\");\n    }\n    get isNANOID() {\n        return !!this._def.checks.find((ch) => ch.kind === \"nanoid\");\n    }\n    get isCUID() {\n        return !!this._def.checks.find((ch) => ch.kind === \"cuid\");\n    }\n    get isCUID2() {\n        return !!this._def.checks.find((ch) => ch.kind === \"cuid2\");\n    }\n    get isULID() {\n        return !!this._def.checks.find((ch) => ch.kind === \"ulid\");\n    }\n    get isIP() {\n        return !!this._def.checks.find((ch) => ch.kind === \"ip\");\n    }\n    get isBase64() {\n        return !!this._def.checks.find((ch) => ch.kind === \"base64\");\n    }\n    get minLength() {\n        let min = null;\n        for (const ch of this._def.checks) {\n            if (ch.kind === \"min\") {\n                if (min === null || ch.value > min)\n                    min = ch.value;\n            }\n        }\n        return min;\n    }\n    get maxLength() {\n        let max = null;\n        for (const ch of this._def.checks) {\n            if (ch.kind === \"max\") {\n                if (max === null || ch.value < max)\n                    max = ch.value;\n            }\n        }\n        return max;\n    }\n}\nZodString.create = (params) => {\n    var _a;\n    return new ZodString({\n        checks: [],\n        typeName: ZodFirstPartyTypeKind.ZodString,\n        coerce: (_a = params === null || params === void 0 ? void 0 : params.coerce) !== null && _a !== void 0 ? _a : false,\n        ...processCreateParams(params),\n    });\n};\n// https://stackoverflow.com/questions/3966484/why-does-modulus-operator-return-fractional-number-in-javascript/31711034#31711034\nfunction floatSafeRemainder(val, step) {\n    const valDecCount = (val.toString().split(\".\")[1] || \"\").length;\n    const stepDecCount = (step.toString().split(\".\")[1] || \"\").length;\n    const decCount = valDecCount > stepDecCount ? valDecCount : stepDecCount;\n    const valInt = parseInt(val.toFixed(decCount).replace(\".\", \"\"));\n    const stepInt = parseInt(step.toFixed(decCount).replace(\".\", \"\"));\n    return (valInt % stepInt) / Math.pow(10, decCount);\n}\nclass ZodNumber extends ZodType {\n    constructor() {\n        super(...arguments);\n        this.min = this.gte;\n        this.max = this.lte;\n        this.step = this.multipleOf;\n    }\n    _parse(input) {\n        if (this._def.coerce) {\n            input.data = Number(input.data);\n        }\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.number) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.number,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        let ctx = undefined;\n        const status = new ParseStatus();\n        for (const check of this._def.checks) {\n            if (check.kind === \"int\") {\n                if (!util.isInteger(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.invalid_type,\n                        expected: \"integer\",\n                        received: \"float\",\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"min\") {\n                const tooSmall = check.inclusive\n                    ? input.data < check.value\n                    : input.data <= check.value;\n                if (tooSmall) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.too_small,\n                        minimum: check.value,\n                        type: \"number\",\n                        inclusive: check.inclusive,\n                        exact: false,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"max\") {\n                const tooBig = check.inclusive\n                    ? input.data > check.value\n                    : input.data >= check.value;\n                if (tooBig) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.too_big,\n                        maximum: check.value,\n                        type: \"number\",\n                        inclusive: check.inclusive,\n                        exact: false,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"multipleOf\") {\n                if (floatSafeRemainder(input.data, check.value) !== 0) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.not_multiple_of,\n                        multipleOf: check.value,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"finite\") {\n                if (!Number.isFinite(input.data)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.not_finite,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else {\n                util.assertNever(check);\n            }\n        }\n        return { status: status.value, value: input.data };\n    }\n    gte(value, message) {\n        return this.setLimit(\"min\", value, true, errorUtil.toString(message));\n    }\n    gt(value, message) {\n        return this.setLimit(\"min\", value, false, errorUtil.toString(message));\n    }\n    lte(value, message) {\n        return this.setLimit(\"max\", value, true, errorUtil.toString(message));\n    }\n    lt(value, message) {\n        return this.setLimit(\"max\", value, false, errorUtil.toString(message));\n    }\n    setLimit(kind, value, inclusive, message) {\n        return new ZodNumber({\n            ...this._def,\n            checks: [\n                ...this._def.checks,\n                {\n                    kind,\n                    value,\n                    inclusive,\n                    message: errorUtil.toString(message),\n                },\n            ],\n        });\n    }\n    _addCheck(check) {\n        return new ZodNumber({\n            ...this._def,\n            checks: [...this._def.checks, check],\n        });\n    }\n    int(message) {\n        return this._addCheck({\n            kind: \"int\",\n            message: errorUtil.toString(message),\n        });\n    }\n    positive(message) {\n        return this._addCheck({\n            kind: \"min\",\n            value: 0,\n            inclusive: false,\n            message: errorUtil.toString(message),\n        });\n    }\n    negative(message) {\n        return this._addCheck({\n            kind: \"max\",\n            value: 0,\n            inclusive: false,\n            message: errorUtil.toString(message),\n        });\n    }\n    nonpositive(message) {\n        return this._addCheck({\n            kind: \"max\",\n            value: 0,\n            inclusive: true,\n            message: errorUtil.toString(message),\n        });\n    }\n    nonnegative(message) {\n        return this._addCheck({\n            kind: \"min\",\n            value: 0,\n            inclusive: true,\n            message: errorUtil.toString(message),\n        });\n    }\n    multipleOf(value, message) {\n        return this._addCheck({\n            kind: \"multipleOf\",\n            value: value,\n            message: errorUtil.toString(message),\n        });\n    }\n    finite(message) {\n        return this._addCheck({\n            kind: \"finite\",\n            message: errorUtil.toString(message),\n        });\n    }\n    safe(message) {\n        return this._addCheck({\n            kind: \"min\",\n            inclusive: true,\n            value: Number.MIN_SAFE_INTEGER,\n            message: errorUtil.toString(message),\n        })._addCheck({\n            kind: \"max\",\n            inclusive: true,\n            value: Number.MAX_SAFE_INTEGER,\n            message: errorUtil.toString(message),\n        });\n    }\n    get minValue() {\n        let min = null;\n        for (const ch of this._def.checks) {\n            if (ch.kind === \"min\") {\n                if (min === null || ch.value > min)\n                    min = ch.value;\n            }\n        }\n        return min;\n    }\n    get maxValue() {\n        let max = null;\n        for (const ch of this._def.checks) {\n            if (ch.kind === \"max\") {\n                if (max === null || ch.value < max)\n                    max = ch.value;\n            }\n        }\n        return max;\n    }\n    get isInt() {\n        return !!this._def.checks.find((ch) => ch.kind === \"int\" ||\n            (ch.kind === \"multipleOf\" && util.isInteger(ch.value)));\n    }\n    get isFinite() {\n        let max = null, min = null;\n        for (const ch of this._def.checks) {\n            if (ch.kind === \"finite\" ||\n                ch.kind === \"int\" ||\n                ch.kind === \"multipleOf\") {\n                return true;\n            }\n            else if (ch.kind === \"min\") {\n                if (min === null || ch.value > min)\n                    min = ch.value;\n            }\n            else if (ch.kind === \"max\") {\n                if (max === null || ch.value < max)\n                    max = ch.value;\n            }\n        }\n        return Number.isFinite(min) && Number.isFinite(max);\n    }\n}\nZodNumber.create = (params) => {\n    return new ZodNumber({\n        checks: [],\n        typeName: ZodFirstPartyTypeKind.ZodNumber,\n        coerce: (params === null || params === void 0 ? void 0 : params.coerce) || false,\n        ...processCreateParams(params),\n    });\n};\nclass ZodBigInt extends ZodType {\n    constructor() {\n        super(...arguments);\n        this.min = this.gte;\n        this.max = this.lte;\n    }\n    _parse(input) {\n        if (this._def.coerce) {\n            input.data = BigInt(input.data);\n        }\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.bigint) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.bigint,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        let ctx = undefined;\n        const status = new ParseStatus();\n        for (const check of this._def.checks) {\n            if (check.kind === \"min\") {\n                const tooSmall = check.inclusive\n                    ? input.data < check.value\n                    : input.data <= check.value;\n                if (tooSmall) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.too_small,\n                        type: \"bigint\",\n                        minimum: check.value,\n                        inclusive: check.inclusive,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"max\") {\n                const tooBig = check.inclusive\n                    ? input.data > check.value\n                    : input.data >= check.value;\n                if (tooBig) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.too_big,\n                        type: \"bigint\",\n                        maximum: check.value,\n                        inclusive: check.inclusive,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"multipleOf\") {\n                if (input.data % check.value !== BigInt(0)) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.not_multiple_of,\n                        multipleOf: check.value,\n                        message: check.message,\n                    });\n                    status.dirty();\n                }\n            }\n            else {\n                util.assertNever(check);\n            }\n        }\n        return { status: status.value, value: input.data };\n    }\n    gte(value, message) {\n        return this.setLimit(\"min\", value, true, errorUtil.toString(message));\n    }\n    gt(value, message) {\n        return this.setLimit(\"min\", value, false, errorUtil.toString(message));\n    }\n    lte(value, message) {\n        return this.setLimit(\"max\", value, true, errorUtil.toString(message));\n    }\n    lt(value, message) {\n        return this.setLimit(\"max\", value, false, errorUtil.toString(message));\n    }\n    setLimit(kind, value, inclusive, message) {\n        return new ZodBigInt({\n            ...this._def,\n            checks: [\n                ...this._def.checks,\n                {\n                    kind,\n                    value,\n                    inclusive,\n                    message: errorUtil.toString(message),\n                },\n            ],\n        });\n    }\n    _addCheck(check) {\n        return new ZodBigInt({\n            ...this._def,\n            checks: [...this._def.checks, check],\n        });\n    }\n    positive(message) {\n        return this._addCheck({\n            kind: \"min\",\n            value: BigInt(0),\n            inclusive: false,\n            message: errorUtil.toString(message),\n        });\n    }\n    negative(message) {\n        return this._addCheck({\n            kind: \"max\",\n            value: BigInt(0),\n            inclusive: false,\n            message: errorUtil.toString(message),\n        });\n    }\n    nonpositive(message) {\n        return this._addCheck({\n            kind: \"max\",\n            value: BigInt(0),\n            inclusive: true,\n            message: errorUtil.toString(message),\n        });\n    }\n    nonnegative(message) {\n        return this._addCheck({\n            kind: \"min\",\n            value: BigInt(0),\n            inclusive: true,\n            message: errorUtil.toString(message),\n        });\n    }\n    multipleOf(value, message) {\n        return this._addCheck({\n            kind: \"multipleOf\",\n            value,\n            message: errorUtil.toString(message),\n        });\n    }\n    get minValue() {\n        let min = null;\n        for (const ch of this._def.checks) {\n            if (ch.kind === \"min\") {\n                if (min === null || ch.value > min)\n                    min = ch.value;\n            }\n        }\n        return min;\n    }\n    get maxValue() {\n        let max = null;\n        for (const ch of this._def.checks) {\n            if (ch.kind === \"max\") {\n                if (max === null || ch.value < max)\n                    max = ch.value;\n            }\n        }\n        return max;\n    }\n}\nZodBigInt.create = (params) => {\n    var _a;\n    return new ZodBigInt({\n        checks: [],\n        typeName: ZodFirstPartyTypeKind.ZodBigInt,\n        coerce: (_a = params === null || params === void 0 ? void 0 : params.coerce) !== null && _a !== void 0 ? _a : false,\n        ...processCreateParams(params),\n    });\n};\nclass ZodBoolean extends ZodType {\n    _parse(input) {\n        if (this._def.coerce) {\n            input.data = Boolean(input.data);\n        }\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.boolean) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.boolean,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        return OK(input.data);\n    }\n}\nZodBoolean.create = (params) => {\n    return new ZodBoolean({\n        typeName: ZodFirstPartyTypeKind.ZodBoolean,\n        coerce: (params === null || params === void 0 ? void 0 : params.coerce) || false,\n        ...processCreateParams(params),\n    });\n};\nclass ZodDate extends ZodType {\n    _parse(input) {\n        if (this._def.coerce) {\n            input.data = new Date(input.data);\n        }\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.date) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.date,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        if (isNaN(input.data.getTime())) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_date,\n            });\n            return INVALID;\n        }\n        const status = new ParseStatus();\n        let ctx = undefined;\n        for (const check of this._def.checks) {\n            if (check.kind === \"min\") {\n                if (input.data.getTime() < check.value) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.too_small,\n                        message: check.message,\n                        inclusive: true,\n                        exact: false,\n                        minimum: check.value,\n                        type: \"date\",\n                    });\n                    status.dirty();\n                }\n            }\n            else if (check.kind === \"max\") {\n                if (input.data.getTime() > check.value) {\n                    ctx = this._getOrReturnCtx(input, ctx);\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.too_big,\n                        message: check.message,\n                        inclusive: true,\n                        exact: false,\n                        maximum: check.value,\n                        type: \"date\",\n                    });\n                    status.dirty();\n                }\n            }\n            else {\n                util.assertNever(check);\n            }\n        }\n        return {\n            status: status.value,\n            value: new Date(input.data.getTime()),\n        };\n    }\n    _addCheck(check) {\n        return new ZodDate({\n            ...this._def,\n            checks: [...this._def.checks, check],\n        });\n    }\n    min(minDate, message) {\n        return this._addCheck({\n            kind: \"min\",\n            value: minDate.getTime(),\n            message: errorUtil.toString(message),\n        });\n    }\n    max(maxDate, message) {\n        return this._addCheck({\n            kind: \"max\",\n            value: maxDate.getTime(),\n            message: errorUtil.toString(message),\n        });\n    }\n    get minDate() {\n        let min = null;\n        for (const ch of this._def.checks) {\n            if (ch.kind === \"min\") {\n                if (min === null || ch.value > min)\n                    min = ch.value;\n            }\n        }\n        return min != null ? new Date(min) : null;\n    }\n    get maxDate() {\n        let max = null;\n        for (const ch of this._def.checks) {\n            if (ch.kind === \"max\") {\n                if (max === null || ch.value < max)\n                    max = ch.value;\n            }\n        }\n        return max != null ? new Date(max) : null;\n    }\n}\nZodDate.create = (params) => {\n    return new ZodDate({\n        checks: [],\n        coerce: (params === null || params === void 0 ? void 0 : params.coerce) || false,\n        typeName: ZodFirstPartyTypeKind.ZodDate,\n        ...processCreateParams(params),\n    });\n};\nclass ZodSymbol extends ZodType {\n    _parse(input) {\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.symbol) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.symbol,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        return OK(input.data);\n    }\n}\nZodSymbol.create = (params) => {\n    return new ZodSymbol({\n        typeName: ZodFirstPartyTypeKind.ZodSymbol,\n        ...processCreateParams(params),\n    });\n};\nclass ZodUndefined extends ZodType {\n    _parse(input) {\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.undefined) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.undefined,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        return OK(input.data);\n    }\n}\nZodUndefined.create = (params) => {\n    return new ZodUndefined({\n        typeName: ZodFirstPartyTypeKind.ZodUndefined,\n        ...processCreateParams(params),\n    });\n};\nclass ZodNull extends ZodType {\n    _parse(input) {\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.null) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.null,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        return OK(input.data);\n    }\n}\nZodNull.create = (params) => {\n    return new ZodNull({\n        typeName: ZodFirstPartyTypeKind.ZodNull,\n        ...processCreateParams(params),\n    });\n};\nclass ZodAny extends ZodType {\n    constructor() {\n        super(...arguments);\n        // to prevent instances of other classes from extending ZodAny. this causes issues with catchall in ZodObject.\n        this._any = true;\n    }\n    _parse(input) {\n        return OK(input.data);\n    }\n}\nZodAny.create = (params) => {\n    return new ZodAny({\n        typeName: ZodFirstPartyTypeKind.ZodAny,\n        ...processCreateParams(params),\n    });\n};\nclass ZodUnknown extends ZodType {\n    constructor() {\n        super(...arguments);\n        // required\n        this._unknown = true;\n    }\n    _parse(input) {\n        return OK(input.data);\n    }\n}\nZodUnknown.create = (params) => {\n    return new ZodUnknown({\n        typeName: ZodFirstPartyTypeKind.ZodUnknown,\n        ...processCreateParams(params),\n    });\n};\nclass ZodNever extends ZodType {\n    _parse(input) {\n        const ctx = this._getOrReturnCtx(input);\n        addIssueToContext(ctx, {\n            code: ZodIssueCode.invalid_type,\n            expected: ZodParsedType.never,\n            received: ctx.parsedType,\n        });\n        return INVALID;\n    }\n}\nZodNever.create = (params) => {\n    return new ZodNever({\n        typeName: ZodFirstPartyTypeKind.ZodNever,\n        ...processCreateParams(params),\n    });\n};\nclass ZodVoid extends ZodType {\n    _parse(input) {\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.undefined) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.void,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        return OK(input.data);\n    }\n}\nZodVoid.create = (params) => {\n    return new ZodVoid({\n        typeName: ZodFirstPartyTypeKind.ZodVoid,\n        ...processCreateParams(params),\n    });\n};\nclass ZodArray extends ZodType {\n    _parse(input) {\n        const { ctx, status } = this._processInputParams(input);\n        const def = this._def;\n        if (ctx.parsedType !== ZodParsedType.array) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.array,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        if (def.exactLength !== null) {\n            const tooBig = ctx.data.length > def.exactLength.value;\n            const tooSmall = ctx.data.length < def.exactLength.value;\n            if (tooBig || tooSmall) {\n                addIssueToContext(ctx, {\n                    code: tooBig ? ZodIssueCode.too_big : ZodIssueCode.too_small,\n                    minimum: (tooSmall ? def.exactLength.value : undefined),\n                    maximum: (tooBig ? def.exactLength.value : undefined),\n                    type: \"array\",\n                    inclusive: true,\n                    exact: true,\n                    message: def.exactLength.message,\n                });\n                status.dirty();\n            }\n        }\n        if (def.minLength !== null) {\n            if (ctx.data.length < def.minLength.value) {\n                addIssueToContext(ctx, {\n                    code: ZodIssueCode.too_small,\n                    minimum: def.minLength.value,\n                    type: \"array\",\n                    inclusive: true,\n                    exact: false,\n                    message: def.minLength.message,\n                });\n                status.dirty();\n            }\n        }\n        if (def.maxLength !== null) {\n            if (ctx.data.length > def.maxLength.value) {\n                addIssueToContext(ctx, {\n                    code: ZodIssueCode.too_big,\n                    maximum: def.maxLength.value,\n                    type: \"array\",\n                    inclusive: true,\n                    exact: false,\n                    message: def.maxLength.message,\n                });\n                status.dirty();\n            }\n        }\n        if (ctx.common.async) {\n            return Promise.all([...ctx.data].map((item, i) => {\n                return def.type._parseAsync(new ParseInputLazyPath(ctx, item, ctx.path, i));\n            })).then((result) => {\n                return ParseStatus.mergeArray(status, result);\n            });\n        }\n        const result = [...ctx.data].map((item, i) => {\n            return def.type._parseSync(new ParseInputLazyPath(ctx, item, ctx.path, i));\n        });\n        return ParseStatus.mergeArray(status, result);\n    }\n    get element() {\n        return this._def.type;\n    }\n    min(minLength, message) {\n        return new ZodArray({\n            ...this._def,\n            minLength: { value: minLength, message: errorUtil.toString(message) },\n        });\n    }\n    max(maxLength, message) {\n        return new ZodArray({\n            ...this._def,\n            maxLength: { value: maxLength, message: errorUtil.toString(message) },\n        });\n    }\n    length(len, message) {\n        return new ZodArray({\n            ...this._def,\n            exactLength: { value: len, message: errorUtil.toString(message) },\n        });\n    }\n    nonempty(message) {\n        return this.min(1, message);\n    }\n}\nZodArray.create = (schema, params) => {\n    return new ZodArray({\n        type: schema,\n        minLength: null,\n        maxLength: null,\n        exactLength: null,\n        typeName: ZodFirstPartyTypeKind.ZodArray,\n        ...processCreateParams(params),\n    });\n};\nfunction deepPartialify(schema) {\n    if (schema instanceof ZodObject) {\n        const newShape = {};\n        for (const key in schema.shape) {\n            const fieldSchema = schema.shape[key];\n            newShape[key] = ZodOptional.create(deepPartialify(fieldSchema));\n        }\n        return new ZodObject({\n            ...schema._def,\n            shape: () => newShape,\n        });\n    }\n    else if (schema instanceof ZodArray) {\n        return new ZodArray({\n            ...schema._def,\n            type: deepPartialify(schema.element),\n        });\n    }\n    else if (schema instanceof ZodOptional) {\n        return ZodOptional.create(deepPartialify(schema.unwrap()));\n    }\n    else if (schema instanceof ZodNullable) {\n        return ZodNullable.create(deepPartialify(schema.unwrap()));\n    }\n    else if (schema instanceof ZodTuple) {\n        return ZodTuple.create(schema.items.map((item) => deepPartialify(item)));\n    }\n    else {\n        return schema;\n    }\n}\nclass ZodObject extends ZodType {\n    constructor() {\n        super(...arguments);\n        this._cached = null;\n        /**\n         * @deprecated In most cases, this is no longer needed - unknown properties are now silently stripped.\n         * If you want to pass through unknown properties, use `.passthrough()` instead.\n         */\n        this.nonstrict = this.passthrough;\n        // extend<\n        //   Augmentation extends ZodRawShape,\n        //   NewOutput extends util.flatten<{\n        //     [k in keyof Augmentation | keyof Output]: k extends keyof Augmentation\n        //       ? Augmentation[k][\"_output\"]\n        //       : k extends keyof Output\n        //       ? Output[k]\n        //       : never;\n        //   }>,\n        //   NewInput extends util.flatten<{\n        //     [k in keyof Augmentation | keyof Input]: k extends keyof Augmentation\n        //       ? Augmentation[k][\"_input\"]\n        //       : k extends keyof Input\n        //       ? Input[k]\n        //       : never;\n        //   }>\n        // >(\n        //   augmentation: Augmentation\n        // ): ZodObject<\n        //   extendShape<T, Augmentation>,\n        //   UnknownKeys,\n        //   Catchall,\n        //   NewOutput,\n        //   NewInput\n        // > {\n        //   return new ZodObject({\n        //     ...this._def,\n        //     shape: () => ({\n        //       ...this._def.shape(),\n        //       ...augmentation,\n        //     }),\n        //   }) as any;\n        // }\n        /**\n         * @deprecated Use `.extend` instead\n         *  */\n        this.augment = this.extend;\n    }\n    _getCached() {\n        if (this._cached !== null)\n            return this._cached;\n        const shape = this._def.shape();\n        const keys = util.objectKeys(shape);\n        return (this._cached = { shape, keys });\n    }\n    _parse(input) {\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.object) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.object,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        const { status, ctx } = this._processInputParams(input);\n        const { shape, keys: shapeKeys } = this._getCached();\n        const extraKeys = [];\n        if (!(this._def.catchall instanceof ZodNever &&\n            this._def.unknownKeys === \"strip\")) {\n            for (const key in ctx.data) {\n                if (!shapeKeys.includes(key)) {\n                    extraKeys.push(key);\n                }\n            }\n        }\n        const pairs = [];\n        for (const key of shapeKeys) {\n            const keyValidator = shape[key];\n            const value = ctx.data[key];\n            pairs.push({\n                key: { status: \"valid\", value: key },\n                value: keyValidator._parse(new ParseInputLazyPath(ctx, value, ctx.path, key)),\n                alwaysSet: key in ctx.data,\n            });\n        }\n        if (this._def.catchall instanceof ZodNever) {\n            const unknownKeys = this._def.unknownKeys;\n            if (unknownKeys === \"passthrough\") {\n                for (const key of extraKeys) {\n                    pairs.push({\n                        key: { status: \"valid\", value: key },\n                        value: { status: \"valid\", value: ctx.data[key] },\n                    });\n                }\n            }\n            else if (unknownKeys === \"strict\") {\n                if (extraKeys.length > 0) {\n                    addIssueToContext(ctx, {\n                        code: ZodIssueCode.unrecognized_keys,\n                        keys: extraKeys,\n                    });\n                    status.dirty();\n                }\n            }\n            else if (unknownKeys === \"strip\") ;\n            else {\n                throw new Error(`Internal ZodObject error: invalid unknownKeys value.`);\n            }\n        }\n        else {\n            // run catchall validation\n            const catchall = this._def.catchall;\n            for (const key of extraKeys) {\n                const value = ctx.data[key];\n                pairs.push({\n                    key: { status: \"valid\", value: key },\n                    value: catchall._parse(new ParseInputLazyPath(ctx, value, ctx.path, key) //, ctx.child(key), value, getParsedType(value)\n                    ),\n                    alwaysSet: key in ctx.data,\n                });\n            }\n        }\n        if (ctx.common.async) {\n            return Promise.resolve()\n                .then(async () => {\n                const syncPairs = [];\n                for (const pair of pairs) {\n                    const key = await pair.key;\n                    const value = await pair.value;\n                    syncPairs.push({\n                        key,\n                        value,\n                        alwaysSet: pair.alwaysSet,\n                    });\n                }\n                return syncPairs;\n            })\n                .then((syncPairs) => {\n                return ParseStatus.mergeObjectSync(status, syncPairs);\n            });\n        }\n        else {\n            return ParseStatus.mergeObjectSync(status, pairs);\n        }\n    }\n    get shape() {\n        return this._def.shape();\n    }\n    strict(message) {\n        errorUtil.errToObj;\n        return new ZodObject({\n            ...this._def,\n            unknownKeys: \"strict\",\n            ...(message !== undefined\n                ? {\n                    errorMap: (issue, ctx) => {\n                        var _a, _b, _c, _d;\n                        const defaultError = (_c = (_b = (_a = this._def).errorMap) === null || _b === void 0 ? void 0 : _b.call(_a, issue, ctx).message) !== null && _c !== void 0 ? _c : ctx.defaultError;\n                        if (issue.code === \"unrecognized_keys\")\n                            return {\n                                message: (_d = errorUtil.errToObj(message).message) !== null && _d !== void 0 ? _d : defaultError,\n                            };\n                        return {\n                            message: defaultError,\n                        };\n                    },\n                }\n                : {}),\n        });\n    }\n    strip() {\n        return new ZodObject({\n            ...this._def,\n            unknownKeys: \"strip\",\n        });\n    }\n    passthrough() {\n        return new ZodObject({\n            ...this._def,\n            unknownKeys: \"passthrough\",\n        });\n    }\n    // const AugmentFactory =\n    //   <Def extends ZodObjectDef>(def: Def) =>\n    //   <Augmentation extends ZodRawShape>(\n    //     augmentation: Augmentation\n    //   ): ZodObject<\n    //     extendShape<ReturnType<Def[\"shape\"]>, Augmentation>,\n    //     Def[\"unknownKeys\"],\n    //     Def[\"catchall\"]\n    //   > => {\n    //     return new ZodObject({\n    //       ...def,\n    //       shape: () => ({\n    //         ...def.shape(),\n    //         ...augmentation,\n    //       }),\n    //     }) as any;\n    //   };\n    extend(augmentation) {\n        return new ZodObject({\n            ...this._def,\n            shape: () => ({\n                ...this._def.shape(),\n                ...augmentation,\n            }),\n        });\n    }\n    /**\n     * Prior to zod@1.0.12 there was a bug in the\n     * inferred type of merged objects. Please\n     * upgrade if you are experiencing issues.\n     */\n    merge(merging) {\n        const merged = new ZodObject({\n            unknownKeys: merging._def.unknownKeys,\n            catchall: merging._def.catchall,\n            shape: () => ({\n                ...this._def.shape(),\n                ...merging._def.shape(),\n            }),\n            typeName: ZodFirstPartyTypeKind.ZodObject,\n        });\n        return merged;\n    }\n    // merge<\n    //   Incoming extends AnyZodObject,\n    //   Augmentation extends Incoming[\"shape\"],\n    //   NewOutput extends {\n    //     [k in keyof Augmentation | keyof Output]: k extends keyof Augmentation\n    //       ? Augmentation[k][\"_output\"]\n    //       : k extends keyof Output\n    //       ? Output[k]\n    //       : never;\n    //   },\n    //   NewInput extends {\n    //     [k in keyof Augmentation | keyof Input]: k extends keyof Augmentation\n    //       ? Augmentation[k][\"_input\"]\n    //       : k extends keyof Input\n    //       ? Input[k]\n    //       : never;\n    //   }\n    // >(\n    //   merging: Incoming\n    // ): ZodObject<\n    //   extendShape<T, ReturnType<Incoming[\"_def\"][\"shape\"]>>,\n    //   Incoming[\"_def\"][\"unknownKeys\"],\n    //   Incoming[\"_def\"][\"catchall\"],\n    //   NewOutput,\n    //   NewInput\n    // > {\n    //   const merged: any = new ZodObject({\n    //     unknownKeys: merging._def.unknownKeys,\n    //     catchall: merging._def.catchall,\n    //     shape: () =>\n    //       objectUtil.mergeShapes(this._def.shape(), merging._def.shape()),\n    //     typeName: ZodFirstPartyTypeKind.ZodObject,\n    //   }) as any;\n    //   return merged;\n    // }\n    setKey(key, schema) {\n        return this.augment({ [key]: schema });\n    }\n    // merge<Incoming extends AnyZodObject>(\n    //   merging: Incoming\n    // ): //ZodObject<T & Incoming[\"_shape\"], UnknownKeys, Catchall> = (merging) => {\n    // ZodObject<\n    //   extendShape<T, ReturnType<Incoming[\"_def\"][\"shape\"]>>,\n    //   Incoming[\"_def\"][\"unknownKeys\"],\n    //   Incoming[\"_def\"][\"catchall\"]\n    // > {\n    //   // const mergedShape = objectUtil.mergeShapes(\n    //   //   this._def.shape(),\n    //   //   merging._def.shape()\n    //   // );\n    //   const merged: any = new ZodObject({\n    //     unknownKeys: merging._def.unknownKeys,\n    //     catchall: merging._def.catchall,\n    //     shape: () =>\n    //       objectUtil.mergeShapes(this._def.shape(), merging._def.shape()),\n    //     typeName: ZodFirstPartyTypeKind.ZodObject,\n    //   }) as any;\n    //   return merged;\n    // }\n    catchall(index) {\n        return new ZodObject({\n            ...this._def,\n            catchall: index,\n        });\n    }\n    pick(mask) {\n        const shape = {};\n        util.objectKeys(mask).forEach((key) => {\n            if (mask[key] && this.shape[key]) {\n                shape[key] = this.shape[key];\n            }\n        });\n        return new ZodObject({\n            ...this._def,\n            shape: () => shape,\n        });\n    }\n    omit(mask) {\n        const shape = {};\n        util.objectKeys(this.shape).forEach((key) => {\n            if (!mask[key]) {\n                shape[key] = this.shape[key];\n            }\n        });\n        return new ZodObject({\n            ...this._def,\n            shape: () => shape,\n        });\n    }\n    /**\n     * @deprecated\n     */\n    deepPartial() {\n        return deepPartialify(this);\n    }\n    partial(mask) {\n        const newShape = {};\n        util.objectKeys(this.shape).forEach((key) => {\n            const fieldSchema = this.shape[key];\n            if (mask && !mask[key]) {\n                newShape[key] = fieldSchema;\n            }\n            else {\n                newShape[key] = fieldSchema.optional();\n            }\n        });\n        return new ZodObject({\n            ...this._def,\n            shape: () => newShape,\n        });\n    }\n    required(mask) {\n        const newShape = {};\n        util.objectKeys(this.shape).forEach((key) => {\n            if (mask && !mask[key]) {\n                newShape[key] = this.shape[key];\n            }\n            else {\n                const fieldSchema = this.shape[key];\n                let newField = fieldSchema;\n                while (newField instanceof ZodOptional) {\n                    newField = newField._def.innerType;\n                }\n                newShape[key] = newField;\n            }\n        });\n        return new ZodObject({\n            ...this._def,\n            shape: () => newShape,\n        });\n    }\n    keyof() {\n        return createZodEnum(util.objectKeys(this.shape));\n    }\n}\nZodObject.create = (shape, params) => {\n    return new ZodObject({\n        shape: () => shape,\n        unknownKeys: \"strip\",\n        catchall: ZodNever.create(),\n        typeName: ZodFirstPartyTypeKind.ZodObject,\n        ...processCreateParams(params),\n    });\n};\nZodObject.strictCreate = (shape, params) => {\n    return new ZodObject({\n        shape: () => shape,\n        unknownKeys: \"strict\",\n        catchall: ZodNever.create(),\n        typeName: ZodFirstPartyTypeKind.ZodObject,\n        ...processCreateParams(params),\n    });\n};\nZodObject.lazycreate = (shape, params) => {\n    return new ZodObject({\n        shape,\n        unknownKeys: \"strip\",\n        catchall: ZodNever.create(),\n        typeName: ZodFirstPartyTypeKind.ZodObject,\n        ...processCreateParams(params),\n    });\n};\nclass ZodUnion extends ZodType {\n    _parse(input) {\n        const { ctx } = this._processInputParams(input);\n        const options = this._def.options;\n        function handleResults(results) {\n            // return first issue-free validation if it exists\n            for (const result of results) {\n                if (result.result.status === \"valid\") {\n                    return result.result;\n                }\n            }\n            for (const result of results) {\n                if (result.result.status === \"dirty\") {\n                    // add issues from dirty option\n                    ctx.common.issues.push(...result.ctx.common.issues);\n                    return result.result;\n                }\n            }\n            // return invalid\n            const unionErrors = results.map((result) => new ZodError(result.ctx.common.issues));\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_union,\n                unionErrors,\n            });\n            return INVALID;\n        }\n        if (ctx.common.async) {\n            return Promise.all(options.map(async (option) => {\n                const childCtx = {\n                    ...ctx,\n                    common: {\n                        ...ctx.common,\n                        issues: [],\n                    },\n                    parent: null,\n                };\n                return {\n                    result: await option._parseAsync({\n                        data: ctx.data,\n                        path: ctx.path,\n                        parent: childCtx,\n                    }),\n                    ctx: childCtx,\n                };\n            })).then(handleResults);\n        }\n        else {\n            let dirty = undefined;\n            const issues = [];\n            for (const option of options) {\n                const childCtx = {\n                    ...ctx,\n                    common: {\n                        ...ctx.common,\n                        issues: [],\n                    },\n                    parent: null,\n                };\n                const result = option._parseSync({\n                    data: ctx.data,\n                    path: ctx.path,\n                    parent: childCtx,\n                });\n                if (result.status === \"valid\") {\n                    return result;\n                }\n                else if (result.status === \"dirty\" && !dirty) {\n                    dirty = { result, ctx: childCtx };\n                }\n                if (childCtx.common.issues.length) {\n                    issues.push(childCtx.common.issues);\n                }\n            }\n            if (dirty) {\n                ctx.common.issues.push(...dirty.ctx.common.issues);\n                return dirty.result;\n            }\n            const unionErrors = issues.map((issues) => new ZodError(issues));\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_union,\n                unionErrors,\n            });\n            return INVALID;\n        }\n    }\n    get options() {\n        return this._def.options;\n    }\n}\nZodUnion.create = (types, params) => {\n    return new ZodUnion({\n        options: types,\n        typeName: ZodFirstPartyTypeKind.ZodUnion,\n        ...processCreateParams(params),\n    });\n};\n/////////////////////////////////////////////////////\n/////////////////////////////////////////////////////\n//////////                                 //////////\n//////////      ZodDiscriminatedUnion      //////////\n//////////                                 //////////\n/////////////////////////////////////////////////////\n/////////////////////////////////////////////////////\nconst getDiscriminator = (type) => {\n    if (type instanceof ZodLazy) {\n        return getDiscriminator(type.schema);\n    }\n    else if (type instanceof ZodEffects) {\n        return getDiscriminator(type.innerType());\n    }\n    else if (type instanceof ZodLiteral) {\n        return [type.value];\n    }\n    else if (type instanceof ZodEnum) {\n        return type.options;\n    }\n    else if (type instanceof ZodNativeEnum) {\n        // eslint-disable-next-line ban/ban\n        return util.objectValues(type.enum);\n    }\n    else if (type instanceof ZodDefault) {\n        return getDiscriminator(type._def.innerType);\n    }\n    else if (type instanceof ZodUndefined) {\n        return [undefined];\n    }\n    else if (type instanceof ZodNull) {\n        return [null];\n    }\n    else if (type instanceof ZodOptional) {\n        return [undefined, ...getDiscriminator(type.unwrap())];\n    }\n    else if (type instanceof ZodNullable) {\n        return [null, ...getDiscriminator(type.unwrap())];\n    }\n    else if (type instanceof ZodBranded) {\n        return getDiscriminator(type.unwrap());\n    }\n    else if (type instanceof ZodReadonly) {\n        return getDiscriminator(type.unwrap());\n    }\n    else if (type instanceof ZodCatch) {\n        return getDiscriminator(type._def.innerType);\n    }\n    else {\n        return [];\n    }\n};\nclass ZodDiscriminatedUnion extends ZodType {\n    _parse(input) {\n        const { ctx } = this._processInputParams(input);\n        if (ctx.parsedType !== ZodParsedType.object) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.object,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        const discriminator = this.discriminator;\n        const discriminatorValue = ctx.data[discriminator];\n        const option = this.optionsMap.get(discriminatorValue);\n        if (!option) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_union_discriminator,\n                options: Array.from(this.optionsMap.keys()),\n                path: [discriminator],\n            });\n            return INVALID;\n        }\n        if (ctx.common.async) {\n            return option._parseAsync({\n                data: ctx.data,\n                path: ctx.path,\n                parent: ctx,\n            });\n        }\n        else {\n            return option._parseSync({\n                data: ctx.data,\n                path: ctx.path,\n                parent: ctx,\n            });\n        }\n    }\n    get discriminator() {\n        return this._def.discriminator;\n    }\n    get options() {\n        return this._def.options;\n    }\n    get optionsMap() {\n        return this._def.optionsMap;\n    }\n    /**\n     * The constructor of the discriminated union schema. Its behaviour is very similar to that of the normal z.union() constructor.\n     * However, it only allows a union of objects, all of which need to share a discriminator property. This property must\n     * have a different value for each object in the union.\n     * @param discriminator the name of the discriminator property\n     * @param types an array of object schemas\n     * @param params\n     */\n    static create(discriminator, options, params) {\n        // Get all the valid discriminator values\n        const optionsMap = new Map();\n        // try {\n        for (const type of options) {\n            const discriminatorValues = getDiscriminator(type.shape[discriminator]);\n            if (!discriminatorValues.length) {\n                throw new Error(`A discriminator value for key \\`${discriminator}\\` could not be extracted from all schema options`);\n            }\n            for (const value of discriminatorValues) {\n                if (optionsMap.has(value)) {\n                    throw new Error(`Discriminator property ${String(discriminator)} has duplicate value ${String(value)}`);\n                }\n                optionsMap.set(value, type);\n            }\n        }\n        return new ZodDiscriminatedUnion({\n            typeName: ZodFirstPartyTypeKind.ZodDiscriminatedUnion,\n            discriminator,\n            options,\n            optionsMap,\n            ...processCreateParams(params),\n        });\n    }\n}\nfunction mergeValues(a, b) {\n    const aType = getParsedType(a);\n    const bType = getParsedType(b);\n    if (a === b) {\n        return { valid: true, data: a };\n    }\n    else if (aType === ZodParsedType.object && bType === ZodParsedType.object) {\n        const bKeys = util.objectKeys(b);\n        const sharedKeys = util\n            .objectKeys(a)\n            .filter((key) => bKeys.indexOf(key) !== -1);\n        const newObj = { ...a, ...b };\n        for (const key of sharedKeys) {\n            const sharedValue = mergeValues(a[key], b[key]);\n            if (!sharedValue.valid) {\n                return { valid: false };\n            }\n            newObj[key] = sharedValue.data;\n        }\n        return { valid: true, data: newObj };\n    }\n    else if (aType === ZodParsedType.array && bType === ZodParsedType.array) {\n        if (a.length !== b.length) {\n            return { valid: false };\n        }\n        const newArray = [];\n        for (let index = 0; index < a.length; index++) {\n            const itemA = a[index];\n            const itemB = b[index];\n            const sharedValue = mergeValues(itemA, itemB);\n            if (!sharedValue.valid) {\n                return { valid: false };\n            }\n            newArray.push(sharedValue.data);\n        }\n        return { valid: true, data: newArray };\n    }\n    else if (aType === ZodParsedType.date &&\n        bType === ZodParsedType.date &&\n        +a === +b) {\n        return { valid: true, data: a };\n    }\n    else {\n        return { valid: false };\n    }\n}\nclass ZodIntersection extends ZodType {\n    _parse(input) {\n        const { status, ctx } = this._processInputParams(input);\n        const handleParsed = (parsedLeft, parsedRight) => {\n            if (isAborted(parsedLeft) || isAborted(parsedRight)) {\n                return INVALID;\n            }\n            const merged = mergeValues(parsedLeft.value, parsedRight.value);\n            if (!merged.valid) {\n                addIssueToContext(ctx, {\n                    code: ZodIssueCode.invalid_intersection_types,\n                });\n                return INVALID;\n            }\n            if (isDirty(parsedLeft) || isDirty(parsedRight)) {\n                status.dirty();\n            }\n            return { status: status.value, value: merged.data };\n        };\n        if (ctx.common.async) {\n            return Promise.all([\n                this._def.left._parseAsync({\n                    data: ctx.data,\n                    path: ctx.path,\n                    parent: ctx,\n                }),\n                this._def.right._parseAsync({\n                    data: ctx.data,\n                    path: ctx.path,\n                    parent: ctx,\n                }),\n            ]).then(([left, right]) => handleParsed(left, right));\n        }\n        else {\n            return handleParsed(this._def.left._parseSync({\n                data: ctx.data,\n                path: ctx.path,\n                parent: ctx,\n            }), this._def.right._parseSync({\n                data: ctx.data,\n                path: ctx.path,\n                parent: ctx,\n            }));\n        }\n    }\n}\nZodIntersection.create = (left, right, params) => {\n    return new ZodIntersection({\n        left: left,\n        right: right,\n        typeName: ZodFirstPartyTypeKind.ZodIntersection,\n        ...processCreateParams(params),\n    });\n};\nclass ZodTuple extends ZodType {\n    _parse(input) {\n        const { status, ctx } = this._processInputParams(input);\n        if (ctx.parsedType !== ZodParsedType.array) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.array,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        if (ctx.data.length < this._def.items.length) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.too_small,\n                minimum: this._def.items.length,\n                inclusive: true,\n                exact: false,\n                type: \"array\",\n            });\n            return INVALID;\n        }\n        const rest = this._def.rest;\n        if (!rest && ctx.data.length > this._def.items.length) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.too_big,\n                maximum: this._def.items.length,\n                inclusive: true,\n                exact: false,\n                type: \"array\",\n            });\n            status.dirty();\n        }\n        const items = [...ctx.data]\n            .map((item, itemIndex) => {\n            const schema = this._def.items[itemIndex] || this._def.rest;\n            if (!schema)\n                return null;\n            return schema._parse(new ParseInputLazyPath(ctx, item, ctx.path, itemIndex));\n        })\n            .filter((x) => !!x); // filter nulls\n        if (ctx.common.async) {\n            return Promise.all(items).then((results) => {\n                return ParseStatus.mergeArray(status, results);\n            });\n        }\n        else {\n            return ParseStatus.mergeArray(status, items);\n        }\n    }\n    get items() {\n        return this._def.items;\n    }\n    rest(rest) {\n        return new ZodTuple({\n            ...this._def,\n            rest,\n        });\n    }\n}\nZodTuple.create = (schemas, params) => {\n    if (!Array.isArray(schemas)) {\n        throw new Error(\"You must pass an array of schemas to z.tuple([ ... ])\");\n    }\n    return new ZodTuple({\n        items: schemas,\n        typeName: ZodFirstPartyTypeKind.ZodTuple,\n        rest: null,\n        ...processCreateParams(params),\n    });\n};\nclass ZodRecord extends ZodType {\n    get keySchema() {\n        return this._def.keyType;\n    }\n    get valueSchema() {\n        return this._def.valueType;\n    }\n    _parse(input) {\n        const { status, ctx } = this._processInputParams(input);\n        if (ctx.parsedType !== ZodParsedType.object) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.object,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        const pairs = [];\n        const keyType = this._def.keyType;\n        const valueType = this._def.valueType;\n        for (const key in ctx.data) {\n            pairs.push({\n                key: keyType._parse(new ParseInputLazyPath(ctx, key, ctx.path, key)),\n                value: valueType._parse(new ParseInputLazyPath(ctx, ctx.data[key], ctx.path, key)),\n                alwaysSet: key in ctx.data,\n            });\n        }\n        if (ctx.common.async) {\n            return ParseStatus.mergeObjectAsync(status, pairs);\n        }\n        else {\n            return ParseStatus.mergeObjectSync(status, pairs);\n        }\n    }\n    get element() {\n        return this._def.valueType;\n    }\n    static create(first, second, third) {\n        if (second instanceof ZodType) {\n            return new ZodRecord({\n                keyType: first,\n                valueType: second,\n                typeName: ZodFirstPartyTypeKind.ZodRecord,\n                ...processCreateParams(third),\n            });\n        }\n        return new ZodRecord({\n            keyType: ZodString.create(),\n            valueType: first,\n            typeName: ZodFirstPartyTypeKind.ZodRecord,\n            ...processCreateParams(second),\n        });\n    }\n}\nclass ZodMap extends ZodType {\n    get keySchema() {\n        return this._def.keyType;\n    }\n    get valueSchema() {\n        return this._def.valueType;\n    }\n    _parse(input) {\n        const { status, ctx } = this._processInputParams(input);\n        if (ctx.parsedType !== ZodParsedType.map) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.map,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        const keyType = this._def.keyType;\n        const valueType = this._def.valueType;\n        const pairs = [...ctx.data.entries()].map(([key, value], index) => {\n            return {\n                key: keyType._parse(new ParseInputLazyPath(ctx, key, ctx.path, [index, \"key\"])),\n                value: valueType._parse(new ParseInputLazyPath(ctx, value, ctx.path, [index, \"value\"])),\n            };\n        });\n        if (ctx.common.async) {\n            const finalMap = new Map();\n            return Promise.resolve().then(async () => {\n                for (const pair of pairs) {\n                    const key = await pair.key;\n                    const value = await pair.value;\n                    if (key.status === \"aborted\" || value.status === \"aborted\") {\n                        return INVALID;\n                    }\n                    if (key.status === \"dirty\" || value.status === \"dirty\") {\n                        status.dirty();\n                    }\n                    finalMap.set(key.value, value.value);\n                }\n                return { status: status.value, value: finalMap };\n            });\n        }\n        else {\n            const finalMap = new Map();\n            for (const pair of pairs) {\n                const key = pair.key;\n                const value = pair.value;\n                if (key.status === \"aborted\" || value.status === \"aborted\") {\n                    return INVALID;\n                }\n                if (key.status === \"dirty\" || value.status === \"dirty\") {\n                    status.dirty();\n                }\n                finalMap.set(key.value, value.value);\n            }\n            return { status: status.value, value: finalMap };\n        }\n    }\n}\nZodMap.create = (keyType, valueType, params) => {\n    return new ZodMap({\n        valueType,\n        keyType,\n        typeName: ZodFirstPartyTypeKind.ZodMap,\n        ...processCreateParams(params),\n    });\n};\nclass ZodSet extends ZodType {\n    _parse(input) {\n        const { status, ctx } = this._processInputParams(input);\n        if (ctx.parsedType !== ZodParsedType.set) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.set,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        const def = this._def;\n        if (def.minSize !== null) {\n            if (ctx.data.size < def.minSize.value) {\n                addIssueToContext(ctx, {\n                    code: ZodIssueCode.too_small,\n                    minimum: def.minSize.value,\n                    type: \"set\",\n                    inclusive: true,\n                    exact: false,\n                    message: def.minSize.message,\n                });\n                status.dirty();\n            }\n        }\n        if (def.maxSize !== null) {\n            if (ctx.data.size > def.maxSize.value) {\n                addIssueToContext(ctx, {\n                    code: ZodIssueCode.too_big,\n                    maximum: def.maxSize.value,\n                    type: \"set\",\n                    inclusive: true,\n                    exact: false,\n                    message: def.maxSize.message,\n                });\n                status.dirty();\n            }\n        }\n        const valueType = this._def.valueType;\n        function finalizeSet(elements) {\n            const parsedSet = new Set();\n            for (const element of elements) {\n                if (element.status === \"aborted\")\n                    return INVALID;\n                if (element.status === \"dirty\")\n                    status.dirty();\n                parsedSet.add(element.value);\n            }\n            return { status: status.value, value: parsedSet };\n        }\n        const elements = [...ctx.data.values()].map((item, i) => valueType._parse(new ParseInputLazyPath(ctx, item, ctx.path, i)));\n        if (ctx.common.async) {\n            return Promise.all(elements).then((elements) => finalizeSet(elements));\n        }\n        else {\n            return finalizeSet(elements);\n        }\n    }\n    min(minSize, message) {\n        return new ZodSet({\n            ...this._def,\n            minSize: { value: minSize, message: errorUtil.toString(message) },\n        });\n    }\n    max(maxSize, message) {\n        return new ZodSet({\n            ...this._def,\n            maxSize: { value: maxSize, message: errorUtil.toString(message) },\n        });\n    }\n    size(size, message) {\n        return this.min(size, message).max(size, message);\n    }\n    nonempty(message) {\n        return this.min(1, message);\n    }\n}\nZodSet.create = (valueType, params) => {\n    return new ZodSet({\n        valueType,\n        minSize: null,\n        maxSize: null,\n        typeName: ZodFirstPartyTypeKind.ZodSet,\n        ...processCreateParams(params),\n    });\n};\nclass ZodFunction extends ZodType {\n    constructor() {\n        super(...arguments);\n        this.validate = this.implement;\n    }\n    _parse(input) {\n        const { ctx } = this._processInputParams(input);\n        if (ctx.parsedType !== ZodParsedType.function) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.function,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        function makeArgsIssue(args, error) {\n            return makeIssue({\n                data: args,\n                path: ctx.path,\n                errorMaps: [\n                    ctx.common.contextualErrorMap,\n                    ctx.schemaErrorMap,\n                    getErrorMap(),\n                    errorMap,\n                ].filter((x) => !!x),\n                issueData: {\n                    code: ZodIssueCode.invalid_arguments,\n                    argumentsError: error,\n                },\n            });\n        }\n        function makeReturnsIssue(returns, error) {\n            return makeIssue({\n                data: returns,\n                path: ctx.path,\n                errorMaps: [\n                    ctx.common.contextualErrorMap,\n                    ctx.schemaErrorMap,\n                    getErrorMap(),\n                    errorMap,\n                ].filter((x) => !!x),\n                issueData: {\n                    code: ZodIssueCode.invalid_return_type,\n                    returnTypeError: error,\n                },\n            });\n        }\n        const params = { errorMap: ctx.common.contextualErrorMap };\n        const fn = ctx.data;\n        if (this._def.returns instanceof ZodPromise) {\n            // Would love a way to avoid disabling this rule, but we need\n            // an alias (using an arrow function was what caused 2651).\n            // eslint-disable-next-line @typescript-eslint/no-this-alias\n            const me = this;\n            return OK(async function (...args) {\n                const error = new ZodError([]);\n                const parsedArgs = await me._def.args\n                    .parseAsync(args, params)\n                    .catch((e) => {\n                    error.addIssue(makeArgsIssue(args, e));\n                    throw error;\n                });\n                const result = await Reflect.apply(fn, this, parsedArgs);\n                const parsedReturns = await me._def.returns._def.type\n                    .parseAsync(result, params)\n                    .catch((e) => {\n                    error.addIssue(makeReturnsIssue(result, e));\n                    throw error;\n                });\n                return parsedReturns;\n            });\n        }\n        else {\n            // Would love a way to avoid disabling this rule, but we need\n            // an alias (using an arrow function was what caused 2651).\n            // eslint-disable-next-line @typescript-eslint/no-this-alias\n            const me = this;\n            return OK(function (...args) {\n                const parsedArgs = me._def.args.safeParse(args, params);\n                if (!parsedArgs.success) {\n                    throw new ZodError([makeArgsIssue(args, parsedArgs.error)]);\n                }\n                const result = Reflect.apply(fn, this, parsedArgs.data);\n                const parsedReturns = me._def.returns.safeParse(result, params);\n                if (!parsedReturns.success) {\n                    throw new ZodError([makeReturnsIssue(result, parsedReturns.error)]);\n                }\n                return parsedReturns.data;\n            });\n        }\n    }\n    parameters() {\n        return this._def.args;\n    }\n    returnType() {\n        return this._def.returns;\n    }\n    args(...items) {\n        return new ZodFunction({\n            ...this._def,\n            args: ZodTuple.create(items).rest(ZodUnknown.create()),\n        });\n    }\n    returns(returnType) {\n        return new ZodFunction({\n            ...this._def,\n            returns: returnType,\n        });\n    }\n    implement(func) {\n        const validatedFunc = this.parse(func);\n        return validatedFunc;\n    }\n    strictImplement(func) {\n        const validatedFunc = this.parse(func);\n        return validatedFunc;\n    }\n    static create(args, returns, params) {\n        return new ZodFunction({\n            args: (args\n                ? args\n                : ZodTuple.create([]).rest(ZodUnknown.create())),\n            returns: returns || ZodUnknown.create(),\n            typeName: ZodFirstPartyTypeKind.ZodFunction,\n            ...processCreateParams(params),\n        });\n    }\n}\nclass ZodLazy extends ZodType {\n    get schema() {\n        return this._def.getter();\n    }\n    _parse(input) {\n        const { ctx } = this._processInputParams(input);\n        const lazySchema = this._def.getter();\n        return lazySchema._parse({ data: ctx.data, path: ctx.path, parent: ctx });\n    }\n}\nZodLazy.create = (getter, params) => {\n    return new ZodLazy({\n        getter: getter,\n        typeName: ZodFirstPartyTypeKind.ZodLazy,\n        ...processCreateParams(params),\n    });\n};\nclass ZodLiteral extends ZodType {\n    _parse(input) {\n        if (input.data !== this._def.value) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                received: ctx.data,\n                code: ZodIssueCode.invalid_literal,\n                expected: this._def.value,\n            });\n            return INVALID;\n        }\n        return { status: \"valid\", value: input.data };\n    }\n    get value() {\n        return this._def.value;\n    }\n}\nZodLiteral.create = (value, params) => {\n    return new ZodLiteral({\n        value: value,\n        typeName: ZodFirstPartyTypeKind.ZodLiteral,\n        ...processCreateParams(params),\n    });\n};\nfunction createZodEnum(values, params) {\n    return new ZodEnum({\n        values,\n        typeName: ZodFirstPartyTypeKind.ZodEnum,\n        ...processCreateParams(params),\n    });\n}\nclass ZodEnum extends ZodType {\n    constructor() {\n        super(...arguments);\n        _ZodEnum_cache.set(this, void 0);\n    }\n    _parse(input) {\n        if (typeof input.data !== \"string\") {\n            const ctx = this._getOrReturnCtx(input);\n            const expectedValues = this._def.values;\n            addIssueToContext(ctx, {\n                expected: util.joinValues(expectedValues),\n                received: ctx.parsedType,\n                code: ZodIssueCode.invalid_type,\n            });\n            return INVALID;\n        }\n        if (!__classPrivateFieldGet(this, _ZodEnum_cache, \"f\")) {\n            __classPrivateFieldSet(this, _ZodEnum_cache, new Set(this._def.values), \"f\");\n        }\n        if (!__classPrivateFieldGet(this, _ZodEnum_cache, \"f\").has(input.data)) {\n            const ctx = this._getOrReturnCtx(input);\n            const expectedValues = this._def.values;\n            addIssueToContext(ctx, {\n                received: ctx.data,\n                code: ZodIssueCode.invalid_enum_value,\n                options: expectedValues,\n            });\n            return INVALID;\n        }\n        return OK(input.data);\n    }\n    get options() {\n        return this._def.values;\n    }\n    get enum() {\n        const enumValues = {};\n        for (const val of this._def.values) {\n            enumValues[val] = val;\n        }\n        return enumValues;\n    }\n    get Values() {\n        const enumValues = {};\n        for (const val of this._def.values) {\n            enumValues[val] = val;\n        }\n        return enumValues;\n    }\n    get Enum() {\n        const enumValues = {};\n        for (const val of this._def.values) {\n            enumValues[val] = val;\n        }\n        return enumValues;\n    }\n    extract(values, newDef = this._def) {\n        return ZodEnum.create(values, {\n            ...this._def,\n            ...newDef,\n        });\n    }\n    exclude(values, newDef = this._def) {\n        return ZodEnum.create(this.options.filter((opt) => !values.includes(opt)), {\n            ...this._def,\n            ...newDef,\n        });\n    }\n}\n_ZodEnum_cache = new WeakMap();\nZodEnum.create = createZodEnum;\nclass ZodNativeEnum extends ZodType {\n    constructor() {\n        super(...arguments);\n        _ZodNativeEnum_cache.set(this, void 0);\n    }\n    _parse(input) {\n        const nativeEnumValues = util.getValidEnumValues(this._def.values);\n        const ctx = this._getOrReturnCtx(input);\n        if (ctx.parsedType !== ZodParsedType.string &&\n            ctx.parsedType !== ZodParsedType.number) {\n            const expectedValues = util.objectValues(nativeEnumValues);\n            addIssueToContext(ctx, {\n                expected: util.joinValues(expectedValues),\n                received: ctx.parsedType,\n                code: ZodIssueCode.invalid_type,\n            });\n            return INVALID;\n        }\n        if (!__classPrivateFieldGet(this, _ZodNativeEnum_cache, \"f\")) {\n            __classPrivateFieldSet(this, _ZodNativeEnum_cache, new Set(util.getValidEnumValues(this._def.values)), \"f\");\n        }\n        if (!__classPrivateFieldGet(this, _ZodNativeEnum_cache, \"f\").has(input.data)) {\n            const expectedValues = util.objectValues(nativeEnumValues);\n            addIssueToContext(ctx, {\n                received: ctx.data,\n                code: ZodIssueCode.invalid_enum_value,\n                options: expectedValues,\n            });\n            return INVALID;\n        }\n        return OK(input.data);\n    }\n    get enum() {\n        return this._def.values;\n    }\n}\n_ZodNativeEnum_cache = new WeakMap();\nZodNativeEnum.create = (values, params) => {\n    return new ZodNativeEnum({\n        values: values,\n        typeName: ZodFirstPartyTypeKind.ZodNativeEnum,\n        ...processCreateParams(params),\n    });\n};\nclass ZodPromise extends ZodType {\n    unwrap() {\n        return this._def.type;\n    }\n    _parse(input) {\n        const { ctx } = this._processInputParams(input);\n        if (ctx.parsedType !== ZodParsedType.promise &&\n            ctx.common.async === false) {\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.promise,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        const promisified = ctx.parsedType === ZodParsedType.promise\n            ? ctx.data\n            : Promise.resolve(ctx.data);\n        return OK(promisified.then((data) => {\n            return this._def.type.parseAsync(data, {\n                path: ctx.path,\n                errorMap: ctx.common.contextualErrorMap,\n            });\n        }));\n    }\n}\nZodPromise.create = (schema, params) => {\n    return new ZodPromise({\n        type: schema,\n        typeName: ZodFirstPartyTypeKind.ZodPromise,\n        ...processCreateParams(params),\n    });\n};\nclass ZodEffects extends ZodType {\n    innerType() {\n        return this._def.schema;\n    }\n    sourceType() {\n        return this._def.schema._def.typeName === ZodFirstPartyTypeKind.ZodEffects\n            ? this._def.schema.sourceType()\n            : this._def.schema;\n    }\n    _parse(input) {\n        const { status, ctx } = this._processInputParams(input);\n        const effect = this._def.effect || null;\n        const checkCtx = {\n            addIssue: (arg) => {\n                addIssueToContext(ctx, arg);\n                if (arg.fatal) {\n                    status.abort();\n                }\n                else {\n                    status.dirty();\n                }\n            },\n            get path() {\n                return ctx.path;\n            },\n        };\n        checkCtx.addIssue = checkCtx.addIssue.bind(checkCtx);\n        if (effect.type === \"preprocess\") {\n            const processed = effect.transform(ctx.data, checkCtx);\n            if (ctx.common.async) {\n                return Promise.resolve(processed).then(async (processed) => {\n                    if (status.value === \"aborted\")\n                        return INVALID;\n                    const result = await this._def.schema._parseAsync({\n                        data: processed,\n                        path: ctx.path,\n                        parent: ctx,\n                    });\n                    if (result.status === \"aborted\")\n                        return INVALID;\n                    if (result.status === \"dirty\")\n                        return DIRTY(result.value);\n                    if (status.value === \"dirty\")\n                        return DIRTY(result.value);\n                    return result;\n                });\n            }\n            else {\n                if (status.value === \"aborted\")\n                    return INVALID;\n                const result = this._def.schema._parseSync({\n                    data: processed,\n                    path: ctx.path,\n                    parent: ctx,\n                });\n                if (result.status === \"aborted\")\n                    return INVALID;\n                if (result.status === \"dirty\")\n                    return DIRTY(result.value);\n                if (status.value === \"dirty\")\n                    return DIRTY(result.value);\n                return result;\n            }\n        }\n        if (effect.type === \"refinement\") {\n            const executeRefinement = (acc) => {\n                const result = effect.refinement(acc, checkCtx);\n                if (ctx.common.async) {\n                    return Promise.resolve(result);\n                }\n                if (result instanceof Promise) {\n                    throw new Error(\"Async refinement encountered during synchronous parse operation. Use .parseAsync instead.\");\n                }\n                return acc;\n            };\n            if (ctx.common.async === false) {\n                const inner = this._def.schema._parseSync({\n                    data: ctx.data,\n                    path: ctx.path,\n                    parent: ctx,\n                });\n                if (inner.status === \"aborted\")\n                    return INVALID;\n                if (inner.status === \"dirty\")\n                    status.dirty();\n                // return value is ignored\n                executeRefinement(inner.value);\n                return { status: status.value, value: inner.value };\n            }\n            else {\n                return this._def.schema\n                    ._parseAsync({ data: ctx.data, path: ctx.path, parent: ctx })\n                    .then((inner) => {\n                    if (inner.status === \"aborted\")\n                        return INVALID;\n                    if (inner.status === \"dirty\")\n                        status.dirty();\n                    return executeRefinement(inner.value).then(() => {\n                        return { status: status.value, value: inner.value };\n                    });\n                });\n            }\n        }\n        if (effect.type === \"transform\") {\n            if (ctx.common.async === false) {\n                const base = this._def.schema._parseSync({\n                    data: ctx.data,\n                    path: ctx.path,\n                    parent: ctx,\n                });\n                if (!isValid(base))\n                    return base;\n                const result = effect.transform(base.value, checkCtx);\n                if (result instanceof Promise) {\n                    throw new Error(`Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.`);\n                }\n                return { status: status.value, value: result };\n            }\n            else {\n                return this._def.schema\n                    ._parseAsync({ data: ctx.data, path: ctx.path, parent: ctx })\n                    .then((base) => {\n                    if (!isValid(base))\n                        return base;\n                    return Promise.resolve(effect.transform(base.value, checkCtx)).then((result) => ({ status: status.value, value: result }));\n                });\n            }\n        }\n        util.assertNever(effect);\n    }\n}\nZodEffects.create = (schema, effect, params) => {\n    return new ZodEffects({\n        schema,\n        typeName: ZodFirstPartyTypeKind.ZodEffects,\n        effect,\n        ...processCreateParams(params),\n    });\n};\nZodEffects.createWithPreprocess = (preprocess, schema, params) => {\n    return new ZodEffects({\n        schema,\n        effect: { type: \"preprocess\", transform: preprocess },\n        typeName: ZodFirstPartyTypeKind.ZodEffects,\n        ...processCreateParams(params),\n    });\n};\nclass ZodOptional extends ZodType {\n    _parse(input) {\n        const parsedType = this._getType(input);\n        if (parsedType === ZodParsedType.undefined) {\n            return OK(undefined);\n        }\n        return this._def.innerType._parse(input);\n    }\n    unwrap() {\n        return this._def.innerType;\n    }\n}\nZodOptional.create = (type, params) => {\n    return new ZodOptional({\n        innerType: type,\n        typeName: ZodFirstPartyTypeKind.ZodOptional,\n        ...processCreateParams(params),\n    });\n};\nclass ZodNullable extends ZodType {\n    _parse(input) {\n        const parsedType = this._getType(input);\n        if (parsedType === ZodParsedType.null) {\n            return OK(null);\n        }\n        return this._def.innerType._parse(input);\n    }\n    unwrap() {\n        return this._def.innerType;\n    }\n}\nZodNullable.create = (type, params) => {\n    return new ZodNullable({\n        innerType: type,\n        typeName: ZodFirstPartyTypeKind.ZodNullable,\n        ...processCreateParams(params),\n    });\n};\nclass ZodDefault extends ZodType {\n    _parse(input) {\n        const { ctx } = this._processInputParams(input);\n        let data = ctx.data;\n        if (ctx.parsedType === ZodParsedType.undefined) {\n            data = this._def.defaultValue();\n        }\n        return this._def.innerType._parse({\n            data,\n            path: ctx.path,\n            parent: ctx,\n        });\n    }\n    removeDefault() {\n        return this._def.innerType;\n    }\n}\nZodDefault.create = (type, params) => {\n    return new ZodDefault({\n        innerType: type,\n        typeName: ZodFirstPartyTypeKind.ZodDefault,\n        defaultValue: typeof params.default === \"function\"\n            ? params.default\n            : () => params.default,\n        ...processCreateParams(params),\n    });\n};\nclass ZodCatch extends ZodType {\n    _parse(input) {\n        const { ctx } = this._processInputParams(input);\n        // newCtx is used to not collect issues from inner types in ctx\n        const newCtx = {\n            ...ctx,\n            common: {\n                ...ctx.common,\n                issues: [],\n            },\n        };\n        const result = this._def.innerType._parse({\n            data: newCtx.data,\n            path: newCtx.path,\n            parent: {\n                ...newCtx,\n            },\n        });\n        if (isAsync(result)) {\n            return result.then((result) => {\n                return {\n                    status: \"valid\",\n                    value: result.status === \"valid\"\n                        ? result.value\n                        : this._def.catchValue({\n                            get error() {\n                                return new ZodError(newCtx.common.issues);\n                            },\n                            input: newCtx.data,\n                        }),\n                };\n            });\n        }\n        else {\n            return {\n                status: \"valid\",\n                value: result.status === \"valid\"\n                    ? result.value\n                    : this._def.catchValue({\n                        get error() {\n                            return new ZodError(newCtx.common.issues);\n                        },\n                        input: newCtx.data,\n                    }),\n            };\n        }\n    }\n    removeCatch() {\n        return this._def.innerType;\n    }\n}\nZodCatch.create = (type, params) => {\n    return new ZodCatch({\n        innerType: type,\n        typeName: ZodFirstPartyTypeKind.ZodCatch,\n        catchValue: typeof params.catch === \"function\" ? params.catch : () => params.catch,\n        ...processCreateParams(params),\n    });\n};\nclass ZodNaN extends ZodType {\n    _parse(input) {\n        const parsedType = this._getType(input);\n        if (parsedType !== ZodParsedType.nan) {\n            const ctx = this._getOrReturnCtx(input);\n            addIssueToContext(ctx, {\n                code: ZodIssueCode.invalid_type,\n                expected: ZodParsedType.nan,\n                received: ctx.parsedType,\n            });\n            return INVALID;\n        }\n        return { status: \"valid\", value: input.data };\n    }\n}\nZodNaN.create = (params) => {\n    return new ZodNaN({\n        typeName: ZodFirstPartyTypeKind.ZodNaN,\n        ...processCreateParams(params),\n    });\n};\nconst BRAND = Symbol(\"zod_brand\");\nclass ZodBranded extends ZodType {\n    _parse(input) {\n        const { ctx } = this._processInputParams(input);\n        const data = ctx.data;\n        return this._def.type._parse({\n            data,\n            path: ctx.path,\n            parent: ctx,\n        });\n    }\n    unwrap() {\n        return this._def.type;\n    }\n}\nclass ZodPipeline extends ZodType {\n    _parse(input) {\n        const { status, ctx } = this._processInputParams(input);\n        if (ctx.common.async) {\n            const handleAsync = async () => {\n                const inResult = await this._def.in._parseAsync({\n                    data: ctx.data,\n                    path: ctx.path,\n                    parent: ctx,\n                });\n                if (inResult.status === \"aborted\")\n                    return INVALID;\n                if (inResult.status === \"dirty\") {\n                    status.dirty();\n                    return DIRTY(inResult.value);\n                }\n                else {\n                    return this._def.out._parseAsync({\n                        data: inResult.value,\n                        path: ctx.path,\n                        parent: ctx,\n                    });\n                }\n            };\n            return handleAsync();\n        }\n        else {\n            const inResult = this._def.in._parseSync({\n                data: ctx.data,\n                path: ctx.path,\n                parent: ctx,\n            });\n            if (inResult.status === \"aborted\")\n                return INVALID;\n            if (inResult.status === \"dirty\") {\n                status.dirty();\n                return {\n                    status: \"dirty\",\n                    value: inResult.value,\n                };\n            }\n            else {\n                return this._def.out._parseSync({\n                    data: inResult.value,\n                    path: ctx.path,\n                    parent: ctx,\n                });\n            }\n        }\n    }\n    static create(a, b) {\n        return new ZodPipeline({\n            in: a,\n            out: b,\n            typeName: ZodFirstPartyTypeKind.ZodPipeline,\n        });\n    }\n}\nclass ZodReadonly extends ZodType {\n    _parse(input) {\n        const result = this._def.innerType._parse(input);\n        const freeze = (data) => {\n            if (isValid(data)) {\n                data.value = Object.freeze(data.value);\n            }\n            return data;\n        };\n        return isAsync(result)\n            ? result.then((data) => freeze(data))\n            : freeze(result);\n    }\n    unwrap() {\n        return this._def.innerType;\n    }\n}\nZodReadonly.create = (type, params) => {\n    return new ZodReadonly({\n        innerType: type,\n        typeName: ZodFirstPartyTypeKind.ZodReadonly,\n        ...processCreateParams(params),\n    });\n};\nfunction custom(check, params = {}, \n/**\n * @deprecated\n *\n * Pass `fatal` into the params object instead:\n *\n * ```ts\n * z.string().custom((val) => val.length > 5, { fatal: false })\n * ```\n *\n */\nfatal) {\n    if (check)\n        return ZodAny.create().superRefine((data, ctx) => {\n            var _a, _b;\n            if (!check(data)) {\n                const p = typeof params === \"function\"\n                    ? params(data)\n                    : typeof params === \"string\"\n                        ? { message: params }\n                        : params;\n                const _fatal = (_b = (_a = p.fatal) !== null && _a !== void 0 ? _a : fatal) !== null && _b !== void 0 ? _b : true;\n                const p2 = typeof p === \"string\" ? { message: p } : p;\n                ctx.addIssue({ code: \"custom\", ...p2, fatal: _fatal });\n            }\n        });\n    return ZodAny.create();\n}\nconst late = {\n    object: ZodObject.lazycreate,\n};\nvar ZodFirstPartyTypeKind;\n(function (ZodFirstPartyTypeKind) {\n    ZodFirstPartyTypeKind[\"ZodString\"] = \"ZodString\";\n    ZodFirstPartyTypeKind[\"ZodNumber\"] = \"ZodNumber\";\n    ZodFirstPartyTypeKind[\"ZodNaN\"] = \"ZodNaN\";\n    ZodFirstPartyTypeKind[\"ZodBigInt\"] = \"ZodBigInt\";\n    ZodFirstPartyTypeKind[\"ZodBoolean\"] = \"ZodBoolean\";\n    ZodFirstPartyTypeKind[\"ZodDate\"] = \"ZodDate\";\n    ZodFirstPartyTypeKind[\"ZodSymbol\"] = \"ZodSymbol\";\n    ZodFirstPartyTypeKind[\"ZodUndefined\"] = \"ZodUndefined\";\n    ZodFirstPartyTypeKind[\"ZodNull\"] = \"ZodNull\";\n    ZodFirstPartyTypeKind[\"ZodAny\"] = \"ZodAny\";\n    ZodFirstPartyTypeKind[\"ZodUnknown\"] = \"ZodUnknown\";\n    ZodFirstPartyTypeKind[\"ZodNever\"] = \"ZodNever\";\n    ZodFirstPartyTypeKind[\"ZodVoid\"] = \"ZodVoid\";\n    ZodFirstPartyTypeKind[\"ZodArray\"] = \"ZodArray\";\n    ZodFirstPartyTypeKind[\"ZodObject\"] = \"ZodObject\";\n    ZodFirstPartyTypeKind[\"ZodUnion\"] = \"ZodUnion\";\n    ZodFirstPartyTypeKind[\"ZodDiscriminatedUnion\"] = \"ZodDiscriminatedUnion\";\n    ZodFirstPartyTypeKind[\"ZodIntersection\"] = \"ZodIntersection\";\n    ZodFirstPartyTypeKind[\"ZodTuple\"] = \"ZodTuple\";\n    ZodFirstPartyTypeKind[\"ZodRecord\"] = \"ZodRecord\";\n    ZodFirstPartyTypeKind[\"ZodMap\"] = \"ZodMap\";\n    ZodFirstPartyTypeKind[\"ZodSet\"] = \"ZodSet\";\n    ZodFirstPartyTypeKind[\"ZodFunction\"] = \"ZodFunction\";\n    ZodFirstPartyTypeKind[\"ZodLazy\"] = \"ZodLazy\";\n    ZodFirstPartyTypeKind[\"ZodLiteral\"] = \"ZodLiteral\";\n    ZodFirstPartyTypeKind[\"ZodEnum\"] = \"ZodEnum\";\n    ZodFirstPartyTypeKind[\"ZodEffects\"] = \"ZodEffects\";\n    ZodFirstPartyTypeKind[\"ZodNativeEnum\"] = \"ZodNativeEnum\";\n    ZodFirstPartyTypeKind[\"ZodOptional\"] = \"ZodOptional\";\n    ZodFirstPartyTypeKind[\"ZodNullable\"] = \"ZodNullable\";\n    ZodFirstPartyTypeKind[\"ZodDefault\"] = \"ZodDefault\";\n    ZodFirstPartyTypeKind[\"ZodCatch\"] = \"ZodCatch\";\n    ZodFirstPartyTypeKind[\"ZodPromise\"] = \"ZodPromise\";\n    ZodFirstPartyTypeKind[\"ZodBranded\"] = \"ZodBranded\";\n    ZodFirstPartyTypeKind[\"ZodPipeline\"] = \"ZodPipeline\";\n    ZodFirstPartyTypeKind[\"ZodReadonly\"] = \"ZodReadonly\";\n})(ZodFirstPartyTypeKind || (ZodFirstPartyTypeKind = {}));\nconst instanceOfType = (\n// const instanceOfType = <T extends new (...args: any[]) => any>(\ncls, params = {\n    message: `Input not instance of ${cls.name}`,\n}) => custom((data) => data instanceof cls, params);\nconst stringType = ZodString.create;\nconst numberType = ZodNumber.create;\nconst nanType = ZodNaN.create;\nconst bigIntType = ZodBigInt.create;\nconst booleanType = ZodBoolean.create;\nconst dateType = ZodDate.create;\nconst symbolType = ZodSymbol.create;\nconst undefinedType = ZodUndefined.create;\nconst nullType = ZodNull.create;\nconst anyType = ZodAny.create;\nconst unknownType = ZodUnknown.create;\nconst neverType = ZodNever.create;\nconst voidType = ZodVoid.create;\nconst arrayType = ZodArray.create;\nconst objectType = ZodObject.create;\nconst strictObjectType = ZodObject.strictCreate;\nconst unionType = ZodUnion.create;\nconst discriminatedUnionType = ZodDiscriminatedUnion.create;\nconst intersectionType = ZodIntersection.create;\nconst tupleType = ZodTuple.create;\nconst recordType = ZodRecord.create;\nconst mapType = ZodMap.create;\nconst setType = ZodSet.create;\nconst functionType = ZodFunction.create;\nconst lazyType = ZodLazy.create;\nconst literalType = ZodLiteral.create;\nconst enumType = ZodEnum.create;\nconst nativeEnumType = ZodNativeEnum.create;\nconst promiseType = ZodPromise.create;\nconst effectsType = ZodEffects.create;\nconst optionalType = ZodOptional.create;\nconst nullableType = ZodNullable.create;\nconst preprocessType = ZodEffects.createWithPreprocess;\nconst pipelineType = ZodPipeline.create;\nconst ostring = () => stringType().optional();\nconst onumber = () => numberType().optional();\nconst oboolean = () => booleanType().optional();\nconst coerce = {\n    string: ((arg) => ZodString.create({ ...arg, coerce: true })),\n    number: ((arg) => ZodNumber.create({ ...arg, coerce: true })),\n    boolean: ((arg) => ZodBoolean.create({\n        ...arg,\n        coerce: true,\n    })),\n    bigint: ((arg) => ZodBigInt.create({ ...arg, coerce: true })),\n    date: ((arg) => ZodDate.create({ ...arg, coerce: true })),\n};\nconst NEVER = INVALID;\n\nvar z = /*#__PURE__*/Object.freeze({\n    __proto__: null,\n    defaultErrorMap: errorMap,\n    setErrorMap: setErrorMap,\n    getErrorMap: getErrorMap,\n    makeIssue: makeIssue,\n    EMPTY_PATH: EMPTY_PATH,\n    addIssueToContext: addIssueToContext,\n    ParseStatus: ParseStatus,\n    INVALID: INVALID,\n    DIRTY: DIRTY,\n    OK: OK,\n    isAborted: isAborted,\n    isDirty: isDirty,\n    isValid: isValid,\n    isAsync: isAsync,\n    get util () { return util; },\n    get objectUtil () { return objectUtil; },\n    ZodParsedType: ZodParsedType,\n    getParsedType: getParsedType,\n    ZodType: ZodType,\n    datetimeRegex: datetimeRegex,\n    ZodString: ZodString,\n    ZodNumber: ZodNumber,\n    ZodBigInt: ZodBigInt,\n    ZodBoolean: ZodBoolean,\n    ZodDate: ZodDate,\n    ZodSymbol: ZodSymbol,\n    ZodUndefined: ZodUndefined,\n    ZodNull: ZodNull,\n    ZodAny: ZodAny,\n    ZodUnknown: ZodUnknown,\n    ZodNever: ZodNever,\n    ZodVoid: ZodVoid,\n    ZodArray: ZodArray,\n    ZodObject: ZodObject,\n    ZodUnion: ZodUnion,\n    ZodDiscriminatedUnion: ZodDiscriminatedUnion,\n    ZodIntersection: ZodIntersection,\n    ZodTuple: ZodTuple,\n    ZodRecord: ZodRecord,\n    ZodMap: ZodMap,\n    ZodSet: ZodSet,\n    ZodFunction: ZodFunction,\n    ZodLazy: ZodLazy,\n    ZodLiteral: ZodLiteral,\n    ZodEnum: ZodEnum,\n    ZodNativeEnum: ZodNativeEnum,\n    ZodPromise: ZodPromise,\n    ZodEffects: ZodEffects,\n    ZodTransformer: ZodEffects,\n    ZodOptional: ZodOptional,\n    ZodNullable: ZodNullable,\n    ZodDefault: ZodDefault,\n    ZodCatch: ZodCatch,\n    ZodNaN: ZodNaN,\n    BRAND: BRAND,\n    ZodBranded: ZodBranded,\n    ZodPipeline: ZodPipeline,\n    ZodReadonly: ZodReadonly,\n    custom: custom,\n    Schema: ZodType,\n    ZodSchema: ZodType,\n    late: late,\n    get ZodFirstPartyTypeKind () { return ZodFirstPartyTypeKind; },\n    coerce: coerce,\n    any: anyType,\n    array: arrayType,\n    bigint: bigIntType,\n    boolean: booleanType,\n    date: dateType,\n    discriminatedUnion: discriminatedUnionType,\n    effect: effectsType,\n    'enum': enumType,\n    'function': functionType,\n    'instanceof': instanceOfType,\n    intersection: intersectionType,\n    lazy: lazyType,\n    literal: literalType,\n    map: mapType,\n    nan: nanType,\n    nativeEnum: nativeEnumType,\n    never: neverType,\n    'null': nullType,\n    nullable: nullableType,\n    number: numberType,\n    object: objectType,\n    oboolean: oboolean,\n    onumber: onumber,\n    optional: optionalType,\n    ostring: ostring,\n    pipeline: pipelineType,\n    preprocess: preprocessType,\n    promise: promiseType,\n    record: recordType,\n    set: setType,\n    strictObject: strictObjectType,\n    string: stringType,\n    symbol: symbolType,\n    transformer: effectsType,\n    tuple: tupleType,\n    'undefined': undefinedType,\n    union: unionType,\n    unknown: unknownType,\n    'void': voidType,\n    NEVER: NEVER,\n    ZodIssueCode: ZodIssueCode,\n    quotelessJson: quotelessJson,\n    ZodError: ZodError\n});\n\nexport { BRAND, DIRTY, EMPTY_PATH, INVALID, NEVER, OK, ParseStatus, ZodType as Schema, ZodAny, ZodArray, ZodBigInt, ZodBoolean, ZodBranded, ZodCatch, ZodDate, ZodDefault, ZodDiscriminatedUnion, ZodEffects, ZodEnum, ZodError, ZodFirstPartyTypeKind, ZodFunction, ZodIntersection, ZodIssueCode, ZodLazy, ZodLiteral, ZodMap, ZodNaN, ZodNativeEnum, ZodNever, ZodNull, ZodNullable, ZodNumber, ZodObject, ZodOptional, ZodParsedType, ZodPipeline, ZodPromise, ZodReadonly, ZodRecord, ZodType as ZodSchema, ZodSet, ZodString, ZodSymbol, ZodEffects as ZodTransformer, ZodTuple, ZodType, ZodUndefined, ZodUnion, ZodUnknown, ZodVoid, addIssueToContext, anyType as any, arrayType as array, bigIntType as bigint, booleanType as boolean, coerce, custom, dateType as date, datetimeRegex, z as default, errorMap as defaultErrorMap, discriminatedUnionType as discriminatedUnion, effectsType as effect, enumType as enum, functionType as function, getErrorMap, getParsedType, instanceOfType as instanceof, intersectionType as intersection, isAborted, isAsync, isDirty, isValid, late, lazyType as lazy, literalType as literal, makeIssue, mapType as map, nanType as nan, nativeEnumType as nativeEnum, neverType as never, nullType as null, nullableType as nullable, numberType as number, objectType as object, objectUtil, oboolean, onumber, optionalType as optional, ostring, pipelineType as pipeline, preprocessType as preprocess, promiseType as promise, quotelessJson, recordType as record, setType as set, setErrorMap, strictObjectType as strictObject, stringType as string, symbolType as symbol, effectsType as transformer, tupleType as tuple, undefinedType as undefined, unionType as union, unknownType as unknown, util, voidType as void, z };\n","// lib/isZodErrorLike.ts\nfunction isZodErrorLike(err) {\n  return err instanceof Error && err.name === \"ZodError\" && \"issues\" in err && Array.isArray(err.issues);\n}\n\n// lib/ValidationError.ts\nvar ValidationError = class extends Error {\n  name;\n  details;\n  constructor(message, options) {\n    super(message, options);\n    this.name = \"ZodValidationError\";\n    this.details = getIssuesFromErrorOptions(options);\n  }\n  toString() {\n    return this.message;\n  }\n};\nfunction getIssuesFromErrorOptions(options) {\n  if (options) {\n    const cause = options.cause;\n    if (isZodErrorLike(cause)) {\n      return cause.issues;\n    }\n  }\n  return [];\n}\n\n// lib/isValidationError.ts\nfunction isValidationError(err) {\n  return err instanceof ValidationError;\n}\n\n// lib/isValidationErrorLike.ts\nfunction isValidationErrorLike(err) {\n  return err instanceof Error && err.name === \"ZodValidationError\";\n}\n\n// lib/fromZodIssue.ts\nimport * as zod from \"zod\";\n\n// lib/config.ts\nvar ISSUE_SEPARATOR = \"; \";\nvar MAX_ISSUES_IN_MESSAGE = 99;\nvar PREFIX = \"Validation error\";\nvar PREFIX_SEPARATOR = \": \";\nvar UNION_SEPARATOR = \", or \";\n\n// lib/prefixMessage.ts\nfunction prefixMessage(message, prefix, prefixSeparator) {\n  if (prefix !== null) {\n    if (message.length > 0) {\n      return [prefix, message].join(prefixSeparator);\n    }\n    return prefix;\n  }\n  if (message.length > 0) {\n    return message;\n  }\n  return PREFIX;\n}\n\n// lib/utils/joinPath.ts\nvar identifierRegex = /[$_\\p{ID_Start}][$\\u200c\\u200d\\p{ID_Continue}]*/u;\nfunction joinPath(path) {\n  if (path.length === 1) {\n    return path[0].toString();\n  }\n  return path.reduce((acc, item) => {\n    if (typeof item === \"number\") {\n      return acc + \"[\" + item.toString() + \"]\";\n    }\n    if (item.includes('\"')) {\n      return acc + '[\"' + escapeQuotes(item) + '\"]';\n    }\n    if (!identifierRegex.test(item)) {\n      return acc + '[\"' + item + '\"]';\n    }\n    const separator = acc.length === 0 ? \"\" : \".\";\n    return acc + separator + item;\n  }, \"\");\n}\nfunction escapeQuotes(str) {\n  return str.replace(/\"/g, '\\\\\"');\n}\n\n// lib/utils/NonEmptyArray.ts\nfunction isNonEmptyArray(value) {\n  return value.length !== 0;\n}\n\n// lib/fromZodIssue.ts\nfunction getMessageFromZodIssue(props) {\n  const { issue, issueSeparator, unionSeparator, includePath } = props;\n  if (issue.code === \"invalid_union\") {\n    return issue.unionErrors.reduce((acc, zodError) => {\n      const newIssues = zodError.issues.map(\n        (issue2) => getMessageFromZodIssue({\n          issue: issue2,\n          issueSeparator,\n          unionSeparator,\n          includePath\n        })\n      ).join(issueSeparator);\n      if (!acc.includes(newIssues)) {\n        acc.push(newIssues);\n      }\n      return acc;\n    }, []).join(unionSeparator);\n  }\n  if (issue.code === \"invalid_arguments\") {\n    return [\n      issue.message,\n      ...issue.argumentsError.issues.map(\n        (issue2) => getMessageFromZodIssue({\n          issue: issue2,\n          issueSeparator,\n          unionSeparator,\n          includePath\n        })\n      )\n    ].join(issueSeparator);\n  }\n  if (issue.code === \"invalid_return_type\") {\n    return [\n      issue.message,\n      ...issue.returnTypeError.issues.map(\n        (issue2) => getMessageFromZodIssue({\n          issue: issue2,\n          issueSeparator,\n          unionSeparator,\n          includePath\n        })\n      )\n    ].join(issueSeparator);\n  }\n  if (includePath && isNonEmptyArray(issue.path)) {\n    if (issue.path.length === 1) {\n      const identifier = issue.path[0];\n      if (typeof identifier === \"number\") {\n        return `${issue.message} at index ${identifier}`;\n      }\n    }\n    return `${issue.message} at \"${joinPath(issue.path)}\"`;\n  }\n  return issue.message;\n}\nfunction fromZodIssue(issue, options = {}) {\n  const {\n    issueSeparator = ISSUE_SEPARATOR,\n    unionSeparator = UNION_SEPARATOR,\n    prefixSeparator = PREFIX_SEPARATOR,\n    prefix = PREFIX,\n    includePath = true\n  } = options;\n  const reason = getMessageFromZodIssue({\n    issue,\n    issueSeparator,\n    unionSeparator,\n    includePath\n  });\n  const message = prefixMessage(reason, prefix, prefixSeparator);\n  return new ValidationError(message, { cause: new zod.ZodError([issue]) });\n}\n\n// lib/errorMap.ts\nvar errorMap = (issue, ctx) => {\n  const error = fromZodIssue({\n    ...issue,\n    // fallback to the default error message\n    // when issue does not have a message\n    message: issue.message ?? ctx.defaultError\n  });\n  return {\n    message: error.message\n  };\n};\n\n// lib/fromZodError.ts\nfunction fromZodError(zodError, options = {}) {\n  if (!isZodErrorLike(zodError)) {\n    throw new TypeError(\n      `Invalid zodError param; expected instance of ZodError. Did you mean to use the \"${fromError.name}\" method instead?`\n    );\n  }\n  return fromZodErrorWithoutRuntimeCheck(zodError, options);\n}\nfunction fromZodErrorWithoutRuntimeCheck(zodError, options = {}) {\n  const {\n    maxIssuesInMessage = MAX_ISSUES_IN_MESSAGE,\n    issueSeparator = ISSUE_SEPARATOR,\n    unionSeparator = UNION_SEPARATOR,\n    prefixSeparator = PREFIX_SEPARATOR,\n    prefix = PREFIX,\n    includePath = true\n  } = options;\n  const zodIssues = zodError.errors;\n  const reason = zodIssues.length === 0 ? zodError.message : zodIssues.slice(0, maxIssuesInMessage).map(\n    (issue) => getMessageFromZodIssue({\n      issue,\n      issueSeparator,\n      unionSeparator,\n      includePath\n    })\n  ).join(issueSeparator);\n  const message = prefixMessage(reason, prefix, prefixSeparator);\n  return new ValidationError(message, { cause: zodError });\n}\n\n// lib/toValidationError.ts\nvar toValidationError = (options = {}) => (err) => {\n  if (isZodErrorLike(err)) {\n    return fromZodErrorWithoutRuntimeCheck(err, options);\n  }\n  if (err instanceof Error) {\n    return new ValidationError(err.message, { cause: err });\n  }\n  return new ValidationError(\"Unknown error\");\n};\n\n// lib/fromError.ts\nfunction fromError(err, options = {}) {\n  return toValidationError(options)(err);\n}\nexport {\n  ValidationError,\n  errorMap,\n  fromError,\n  fromZodError,\n  fromZodIssue,\n  isValidationError,\n  isValidationErrorLike,\n  isZodErrorLike,\n  toValidationError\n};\n//# sourceMappingURL=index.mjs.map","import { z } from 'zod'\nimport { fromZodError } from 'zod-validation-error'\n\n// GroupNode is hacking node id to be a string, so we need to allow that.\n// innerNode.id = `${this.node.id}:${i}`\n// Remove it after GroupNode is redesigned.\nexport const zNodeId = z.union([z.number().int(), z.string()])\nexport type NodeId = z.infer<typeof zNodeId>\nexport const zSlotIndex = z.union([\n  z.number().int(),\n  z\n    .string()\n    .transform((val) => parseInt(val))\n    .refine((val) => !isNaN(val), {\n      message: 'Invalid number'\n    })\n])\n\n// TODO: Investigate usage of array and number as data type usage in custom nodes.\n// Known usage:\n// - https://github.com/rgthree/rgthree-comfy Context Big node is using array as type.\nexport const zDataType = z.union([z.string(), z.array(z.string()), z.number()])\n\n// Definition of an AI model file used in the workflow.\nconst zModelFile = z.object({\n  name: z.string(),\n  url: z.string().url(),\n  hash: z.string().optional(),\n  hash_type: z.string().optional(),\n  directory: z.string()\n})\n\nconst zComfyLink = z.tuple([\n  z.number(), // Link id\n  zNodeId, // Node id of source node\n  zSlotIndex, // Output slot# of source node\n  zNodeId, // Node id of destination node\n  zSlotIndex, // Input slot# of destination node\n  zDataType // Data type\n])\n\nconst zNodeOutput = z\n  .object({\n    name: z.string(),\n    type: zDataType,\n    links: z.array(z.number()).nullable().optional(),\n    slot_index: zSlotIndex.optional()\n  })\n  .passthrough()\n\nconst zNodeInput = z\n  .object({\n    name: z.string(),\n    type: zDataType,\n    link: z.number().nullable().optional(),\n    slot_index: zSlotIndex.optional()\n  })\n  .passthrough()\n\nconst zFlags = z\n  .object({\n    collapsed: z.boolean().optional(),\n    pinned: z.boolean().optional(),\n    allow_interaction: z.boolean().optional(),\n    horizontal: z.boolean().optional(),\n    skip_repeated_outputs: z.boolean().optional()\n  })\n  .passthrough()\n\nconst zProperties = z\n  .object({\n    ['Node name for S&R']: z.string().optional()\n  })\n  .passthrough()\n\nconst zVector2 = z.union([\n  z.object({ 0: z.number(), 1: z.number() }).transform((v) => [v[0], v[1]]),\n  z.tuple([z.number(), z.number()])\n])\n\nconst zWidgetValues = z.union([z.array(z.any()), z.record(z.any())])\n\nconst zComfyNode = z\n  .object({\n    id: zNodeId,\n    type: z.string(),\n    pos: zVector2,\n    size: zVector2,\n    flags: zFlags,\n    order: z.number(),\n    mode: z.number(),\n    inputs: z.array(zNodeInput).optional(),\n    outputs: z.array(zNodeOutput).optional(),\n    properties: zProperties,\n    widgets_values: zWidgetValues.optional(),\n    color: z.string().optional(),\n    bgcolor: z.string().optional()\n  })\n  .passthrough()\n\nconst zGroup = z\n  .object({\n    title: z.string(),\n    bounding: z.tuple([z.number(), z.number(), z.number(), z.number()]),\n    color: z.string().optional(),\n    font_size: z.number().optional(),\n    locked: z.boolean().optional()\n  })\n  .passthrough()\n\nconst zInfo = z\n  .object({\n    name: z.string(),\n    author: z.string(),\n    description: z.string(),\n    version: z.string(),\n    created: z.string(),\n    modified: z.string(),\n    software: z.string()\n  })\n  .passthrough()\n\nconst zDS = z\n  .object({\n    scale: z.number(),\n    offset: zVector2\n  })\n  .passthrough()\n\nconst zConfig = z\n  .object({\n    links_ontop: z.boolean().optional(),\n    align_to_grid: z.boolean().optional()\n  })\n  .passthrough()\n\nconst zExtra = z\n  .object({\n    ds: zDS.optional(),\n    info: zInfo.optional()\n  })\n  .passthrough()\n\nexport const zComfyWorkflow = z\n  .object({\n    last_node_id: zNodeId,\n    last_link_id: z.number(),\n    nodes: z.array(zComfyNode),\n    links: z.array(zComfyLink),\n    groups: z.array(zGroup).optional(),\n    config: zConfig.optional().nullable(),\n    extra: zExtra.optional().nullable(),\n    version: z.number(),\n    models: z.array(zModelFile).optional()\n  })\n  .passthrough()\n\nexport type NodeInput = z.infer<typeof zNodeInput>\nexport type NodeOutput = z.infer<typeof zNodeOutput>\nexport type ComfyLink = z.infer<typeof zComfyLink>\nexport type ComfyNode = z.infer<typeof zComfyNode>\nexport type ComfyWorkflowJSON = z.infer<typeof zComfyWorkflow>\n\nexport async function validateComfyWorkflow(\n  data: any,\n  onError: (error: string) => void = console.warn\n): Promise<ComfyWorkflowJSON | null> {\n  const result = await zComfyWorkflow.safeParseAsync(data)\n  if (!result.success) {\n    const error = fromZodError(result.error)\n    onError(`Invalid workflow against zod schema:\\n${error}`)\n    return null\n  }\n  return result.data\n}\n","import { z } from 'zod'\n\nconst nodeSlotSchema = z\n  .object({\n    BOOLEAN: z.string().optional(),\n    CLIP: z.string(),\n    CLIP_VISION: z.string(),\n    CLIP_VISION_OUTPUT: z.string(),\n    CONDITIONING: z.string(),\n    CONTROL_NET: z.string(),\n    CONTROL_NET_WEIGHTS: z.string().optional(),\n    FLOAT: z.string().optional(),\n    GLIGEN: z.string().optional(),\n    IMAGE: z.string(),\n    IMAGEUPLOAD: z.string().optional(),\n    INT: z.string().optional(),\n    LATENT: z.string(),\n    LATENT_KEYFRAME: z.string().optional(),\n    MASK: z.string(),\n    MODEL: z.string(),\n    SAMPLER: z.string().optional(),\n    SIGMAS: z.string().optional(),\n    STRING: z.string().optional(),\n    STYLE_MODEL: z.string(),\n    T2I_ADAPTER_WEIGHTS: z.string().optional(),\n    TAESD: z.string(),\n    TIMESTEP_KEYFRAME: z.string().optional(),\n    UPSCALE_MODEL: z.string().optional(),\n    VAE: z.string()\n  })\n  .passthrough()\n\nconst litegraphBaseSchema = z\n  .object({\n    BACKGROUND_IMAGE: z.string(),\n    CLEAR_BACKGROUND_COLOR: z.string(),\n    NODE_TITLE_COLOR: z.string(),\n    NODE_SELECTED_TITLE_COLOR: z.string(),\n    NODE_TEXT_SIZE: z.number(),\n    NODE_TEXT_COLOR: z.string(),\n    NODE_SUBTEXT_SIZE: z.number(),\n    NODE_DEFAULT_COLOR: z.string(),\n    NODE_DEFAULT_BGCOLOR: z.string(),\n    NODE_DEFAULT_BOXCOLOR: z.string(),\n    NODE_DEFAULT_SHAPE: z.string(),\n    NODE_BOX_OUTLINE_COLOR: z.string(),\n    DEFAULT_SHADOW_COLOR: z.string(),\n    DEFAULT_GROUP_FONT: z.number(),\n    WIDGET_BGCOLOR: z.string(),\n    WIDGET_OUTLINE_COLOR: z.string(),\n    WIDGET_TEXT_COLOR: z.string(),\n    WIDGET_SECONDARY_TEXT_COLOR: z.string(),\n    LINK_COLOR: z.string(),\n    EVENT_LINK_COLOR: z.string(),\n    CONNECTING_LINK_COLOR: z.string()\n  })\n  .passthrough()\n\nconst comfyBaseSchema = z.object({\n  ['fg-color']: z.string(),\n  ['bg-color']: z.string(),\n  ['comfy-menu-bg']: z.string(),\n  ['comfy-input-bg']: z.string(),\n  ['input-text']: z.string(),\n  ['descrip-text']: z.string(),\n  ['drag-text']: z.string(),\n  ['error-text']: z.string(),\n  ['border-color']: z.string(),\n  ['tr-even-bg-color']: z.string(),\n  ['tr-odd-bg-color']: z.string(),\n  ['content-bg']: z.string(),\n  ['content-fg']: z.string(),\n  ['content-hover-bg']: z.string(),\n  ['content-hover-fg']: z.string()\n})\n\nconst colorsSchema = z\n  .object({\n    node_slot: nodeSlotSchema,\n    litegraph_base: litegraphBaseSchema,\n    comfy_base: comfyBaseSchema\n  })\n  .passthrough()\n\nconst paletteSchema = z.object({\n  id: z.string(),\n  name: z.string(),\n  colors: colorsSchema\n})\n\nexport const colorPalettesSchema = z.record(paletteSchema)\n\nexport type Colors = z.infer<typeof colorsSchema>\nexport type Palette = z.infer<typeof paletteSchema>\nexport type ColorPalettes = z.infer<typeof colorPalettesSchema>\n","import { ZodType, z } from 'zod'\nimport { zComfyWorkflow, zNodeId } from './comfyWorkflow'\nimport { fromZodError } from 'zod-validation-error'\nimport { colorPalettesSchema } from './colorPalette'\n\nconst zNodeType = z.string()\nconst zQueueIndex = z.number()\nconst zPromptId = z.string()\nconst zResultItem = z.object({\n  filename: z.string(),\n  subfolder: z.string().optional(),\n  type: z.string()\n})\nexport type ResultItem = z.infer<typeof zResultItem>\nconst zOutputs = z\n  .object({\n    audio: z.array(zResultItem).optional(),\n    images: z.array(zResultItem).optional()\n  })\n  .passthrough()\n\n// WS messages\nconst zStatusWsMessageStatus = z.object({\n  exec_info: z.object({\n    queue_remaining: z.number().int()\n  })\n})\n\nconst zStatusWsMessage = z.object({\n  status: zStatusWsMessageStatus.nullable().optional()\n})\n\nconst zProgressWsMessage = z.object({\n  value: z.number().int(),\n  max: z.number().int(),\n  prompt_id: zPromptId,\n  node: zNodeId\n})\n\nconst zExecutingWsMessage = z.object({\n  node: zNodeId,\n  display_node: zNodeId,\n  prompt_id: zPromptId\n})\n\nconst zExecutedWsMessage = zExecutingWsMessage.extend({\n  outputs: zOutputs\n})\n\nconst zExecutionWsMessageBase = z.object({\n  prompt_id: zPromptId,\n  timestamp: z.number().int()\n})\n\nconst zExecutionStartWsMessage = zExecutionWsMessageBase\nconst zExecutionSuccessWsMessage = zExecutionWsMessageBase\nconst zExecutionCachedWsMessage = zExecutionWsMessageBase.extend({\n  nodes: z.array(zNodeId)\n})\nconst zExecutionInterruptedWsMessage = zExecutionWsMessageBase.extend({\n  node_id: zNodeId,\n  node_type: zNodeType,\n  executed: z.array(zNodeId)\n})\nconst zExecutionErrorWsMessage = zExecutionWsMessageBase.extend({\n  node_id: zNodeId,\n  node_type: zNodeType,\n  executed: z.array(zNodeId),\n  exception_message: z.string(),\n  exception_type: z.string(),\n  traceback: z.array(z.string()),\n  current_inputs: z.any(),\n  current_outputs: z.any()\n})\n\nconst zDownloadModelStatus = z.object({\n  status: z.string(),\n  progress_percentage: z.number(),\n  message: z.string(),\n  download_path: z.string(),\n  already_existed: z.boolean()\n})\n\nexport type StatusWsMessageStatus = z.infer<typeof zStatusWsMessageStatus>\nexport type StatusWsMessage = z.infer<typeof zStatusWsMessage>\nexport type ProgressWsMessage = z.infer<typeof zProgressWsMessage>\nexport type ExecutingWsMessage = z.infer<typeof zExecutingWsMessage>\nexport type ExecutedWsMessage = z.infer<typeof zExecutedWsMessage>\nexport type ExecutionStartWsMessage = z.infer<typeof zExecutionStartWsMessage>\nexport type ExecutionSuccessWsMessage = z.infer<\n  typeof zExecutionSuccessWsMessage\n>\nexport type ExecutionCachedWsMessage = z.infer<typeof zExecutionCachedWsMessage>\nexport type ExecutionInterruptedWsMessage = z.infer<\n  typeof zExecutionInterruptedWsMessage\n>\nexport type ExecutionErrorWsMessage = z.infer<typeof zExecutionErrorWsMessage>\n\nexport type DownloadModelStatus = z.infer<typeof zDownloadModelStatus>\n// End of ws messages\n\nconst zPromptInputItem = z.object({\n  inputs: z.record(z.string(), z.any()),\n  class_type: zNodeType\n})\n\nconst zPromptInputs = z.record(zPromptInputItem)\n\nconst zExtraPngInfo = z\n  .object({\n    workflow: zComfyWorkflow\n  })\n  .passthrough()\n\nconst zExtraData = z.object({\n  extra_pnginfo: zExtraPngInfo,\n  client_id: z.string()\n})\nconst zOutputsToExecute = z.array(zNodeId)\n\nconst zExecutionStartMessage = z.tuple([\n  z.literal('execution_start'),\n  zExecutionStartWsMessage\n])\n\nconst zExecutionSuccessMessage = z.tuple([\n  z.literal('execution_success'),\n  zExecutionSuccessWsMessage\n])\n\nconst zExecutionCachedMessage = z.tuple([\n  z.literal('execution_cached'),\n  zExecutionCachedWsMessage\n])\n\nconst zExecutionInterruptedMessage = z.tuple([\n  z.literal('execution_interrupted'),\n  zExecutionInterruptedWsMessage\n])\n\nconst zExecutionErrorMessage = z.tuple([\n  z.literal('execution_error'),\n  zExecutionErrorWsMessage\n])\n\nconst zStatusMessage = z.union([\n  zExecutionStartMessage,\n  zExecutionSuccessMessage,\n  zExecutionCachedMessage,\n  zExecutionInterruptedMessage,\n  zExecutionErrorMessage\n])\n\nconst zStatus = z.object({\n  status_str: z.enum(['success', 'error']),\n  completed: z.boolean(),\n  messages: z.array(zStatusMessage)\n})\n\nconst zTaskPrompt = z.tuple([\n  zQueueIndex,\n  zPromptId,\n  zPromptInputs,\n  zExtraData,\n  zOutputsToExecute\n])\n\nconst zRunningTaskItem = z.object({\n  taskType: z.literal('Running'),\n  prompt: zTaskPrompt,\n  // @Deprecated\n  remove: z.object({\n    name: z.literal('Cancel'),\n    cb: z.function()\n  })\n})\n\nconst zPendingTaskItem = z.object({\n  taskType: z.literal('Pending'),\n  prompt: zTaskPrompt\n})\n\nconst zTaskOutput = z.record(zNodeId, zOutputs)\n\nconst zHistoryTaskItem = z.object({\n  taskType: z.literal('History'),\n  prompt: zTaskPrompt,\n  status: zStatus.optional(),\n  outputs: zTaskOutput\n})\n\nconst zTaskItem = z.union([\n  zRunningTaskItem,\n  zPendingTaskItem,\n  zHistoryTaskItem\n])\n\nconst zTaskType = z.union([\n  z.literal('Running'),\n  z.literal('Pending'),\n  z.literal('History')\n])\n\nexport type TaskType = z.infer<typeof zTaskType>\nexport type TaskPrompt = z.infer<typeof zTaskPrompt>\nexport type TaskStatus = z.infer<typeof zStatus>\nexport type TaskOutput = z.infer<typeof zTaskOutput>\n\n// `/queue`\nexport type RunningTaskItem = z.infer<typeof zRunningTaskItem>\nexport type PendingTaskItem = z.infer<typeof zPendingTaskItem>\n// `/history`\nexport type HistoryTaskItem = z.infer<typeof zHistoryTaskItem>\nexport type TaskItem = z.infer<typeof zTaskItem>\n\nexport function validateTaskItem(taskItem: unknown) {\n  const result = zTaskItem.safeParse(taskItem)\n  if (!result.success) {\n    const zodError = fromZodError(result.error)\n    // TODO accept a callback to report error.\n    console.warn(\n      `Invalid TaskItem: ${JSON.stringify(taskItem)}\\n${zodError.message}`\n    )\n  }\n  return result\n}\n\nfunction inputSpec(\n  spec: [ZodType, ZodType],\n  allowUpcast: boolean = true\n): ZodType {\n  const [inputType, inputSpec] = spec\n  // e.g. \"INT\" => [\"INT\", {}]\n  const upcastTypes: ZodType[] = allowUpcast\n    ? [inputType.transform((type) => [type, {}])]\n    : []\n\n  return z.union([\n    z.tuple([inputType, inputSpec]),\n    z.tuple([inputType]).transform(([type]) => [type, {}]),\n    ...upcastTypes\n  ])\n}\n\nconst zBaseInputSpecValue = z\n  .object({\n    default: z.any().optional(),\n    forceInput: z.boolean().optional()\n  })\n  .passthrough()\n\nconst zIntInputSpec = inputSpec([\n  z.literal('INT'),\n  zBaseInputSpecValue.extend({\n    min: z.number().optional(),\n    max: z.number().optional(),\n    step: z.number().optional(),\n    // Note: Many node authors are using INT to pass list of INT.\n    // TODO: Add list of ints type.\n    default: z.union([z.number(), z.array(z.number())]).optional()\n  })\n])\n\nconst zFloatInputSpec = inputSpec([\n  z.literal('FLOAT'),\n  zBaseInputSpecValue.extend({\n    min: z.number().optional(),\n    max: z.number().optional(),\n    step: z.number().optional(),\n    round: z.union([z.number(), z.literal(false)]).optional(),\n    // Note: Many node authors are using FLOAT to pass list of FLOAT.\n    // TODO: Add list of floats type.\n    default: z.union([z.number(), z.array(z.number())]).optional()\n  })\n])\n\nconst zBooleanInputSpec = inputSpec([\n  z.literal('BOOLEAN'),\n  zBaseInputSpecValue.extend({\n    label_on: z.string().optional(),\n    label_off: z.string().optional(),\n    default: z.boolean().optional()\n  })\n])\n\nconst zStringInputSpec = inputSpec([\n  z.literal('STRING'),\n  zBaseInputSpecValue.extend({\n    default: z.string().optional(),\n    multiline: z.boolean().optional(),\n    dynamicPrompts: z.boolean().optional(),\n\n    // Multiline-only fields\n    defaultVal: z.string().optional(),\n    placeholder: z.string().optional()\n  })\n])\n\n// Dropdown Selection.\nconst zComboInputSpec = inputSpec(\n  [\n    z.array(z.any()),\n    zBaseInputSpecValue.extend({\n      control_after_generate: z.boolean().optional(),\n      image_upload: z.boolean().optional()\n    })\n  ],\n  /* allowUpcast=*/ false\n)\n\nconst excludedLiterals = new Set(['INT', 'FLOAT', 'BOOLEAN', 'STRING', 'COMBO'])\n\nconst zCustomInputSpec = inputSpec([\n  z.string().refine((value) => !excludedLiterals.has(value)),\n  zBaseInputSpecValue\n])\n\nconst zInputSpec = z.union([\n  zIntInputSpec,\n  zFloatInputSpec,\n  zBooleanInputSpec,\n  zStringInputSpec,\n  zComboInputSpec,\n  zCustomInputSpec\n])\n\nconst zComfyInputsSpec = z.object({\n  required: z.record(zInputSpec).optional(),\n  optional: z.record(zInputSpec).optional(),\n  // Frontend repo is not using it, but some custom nodes are using the\n  // hidden field to pass various values.\n  hidden: z.record(z.any()).optional()\n})\n\nconst zComfyNodeDataType = z.string()\nconst zComfyComboOutput = z.array(z.any())\nconst zComfyOutputTypesSpec = z.array(\n  z.union([zComfyNodeDataType, zComfyComboOutput])\n)\n\nconst zComfyNodeDef = z.object({\n  input: zComfyInputsSpec,\n  output: zComfyOutputTypesSpec,\n  output_is_list: z.array(z.boolean()),\n  output_name: z.array(z.string()),\n  output_tooltips: z.array(z.string()).optional(),\n  name: z.string(),\n  display_name: z.string(),\n  description: z.string(),\n  category: z.string(),\n  output_node: z.boolean(),\n  python_module: z.string(),\n  deprecated: z.boolean().optional(),\n  experimental: z.boolean().optional()\n})\n\n// `/object_info`\nexport type ComfyInputsSpec = z.infer<typeof zComfyInputsSpec>\nexport type ComfyOutputTypesSpec = z.infer<typeof zComfyOutputTypesSpec>\nexport type ComfyNodeDef = z.infer<typeof zComfyNodeDef>\n\nexport function validateComfyNodeDef(\n  data: any,\n  onError: (error: string) => void = console.warn\n): ComfyNodeDef | null {\n  const result = zComfyNodeDef.safeParse(data)\n  if (!result.success) {\n    const zodError = fromZodError(result.error)\n    onError(\n      `Invalid ComfyNodeDef: ${JSON.stringify(data)}\\n${zodError.message}`\n    )\n    return null\n  }\n  return result.data\n}\n\nconst zEmbeddingsResponse = z.array(z.string())\nconst zExtensionsResponse = z.array(z.string())\nconst zPromptResponse = z.object({\n  node_errors: z.array(z.string()).optional(),\n  prompt_id: z.string().optional(),\n  exec_info: z\n    .object({\n      queue_remaining: z.number().optional()\n    })\n    .optional()\n})\nexport const zSystemStats = z.object({\n  system: z.object({\n    os: z.string(),\n    python_version: z.string(),\n    embedded_python: z.boolean(),\n    comfyui_version: z.string(),\n    pytorch_version: z.string(),\n    argv: z.array(z.string())\n  }),\n  devices: z.array(\n    z.object({\n      name: z.string(),\n      type: z.string(),\n      index: z.number().optional(),\n      vram_total: z.number(),\n      vram_free: z.number(),\n      torch_vram_total: z.number(),\n      torch_vram_free: z.number()\n    })\n  )\n})\nconst zUser = z.object({\n  storage: z.enum(['server', 'browser']),\n  migrated: z.boolean(),\n  users: z.record(z.string(), z.unknown())\n})\nconst zUserData = z.array(z.array(z.string(), z.string()))\n\nconst zBookmarkCustomization = z.object({\n  icon: z.string().optional(),\n  color: z.string().optional()\n})\nexport type BookmarkCustomization = z.infer<typeof zBookmarkCustomization>\n\nconst zSettings = z.record(z.any()).and(\n  z\n    .object({\n      'Comfy.ColorPalette': z.string(),\n      'Comfy.CustomColorPalettes': colorPalettesSchema,\n      'Comfy.ConfirmClear': z.boolean(),\n      'Comfy.DevMode': z.boolean(),\n      'Comfy.Workflow.ShowMissingNodesWarning': z.boolean(),\n      'Comfy.Workflow.ShowMissingModelsWarning': z.boolean(),\n      'Comfy.DisableFloatRounding': z.boolean(),\n      'Comfy.DisableSliders': z.boolean(),\n      'Comfy.DOMClippingEnabled': z.boolean(),\n      'Comfy.EditAttention.Delta': z.number(),\n      'Comfy.EnableTooltips': z.boolean(),\n      'Comfy.EnableWorkflowViewRestore': z.boolean(),\n      'Comfy.FloatRoundingPrecision': z.number(),\n      'Comfy.Graph.ZoomSpeed': z.number(),\n      'Comfy.InvertMenuScrolling': z.boolean(),\n      'Comfy.Logging.Enabled': z.boolean(),\n      'Comfy.NodeLibrary.Bookmarks': z.array(z.string()),\n      'Comfy.NodeLibrary.BookmarksCustomization': z.record(\n        z.string(),\n        zBookmarkCustomization\n      ),\n      'Comfy.NodeInputConversionSubmenus': z.boolean(),\n      'Comfy.NodeSearchBoxImpl.LinkReleaseTrigger': z.enum([\n        'always',\n        'hold shift',\n        'NOT hold shift'\n      ]),\n      'Comfy.NodeSearchBoxImpl.NodePreview': z.boolean(),\n      'Comfy.NodeSearchBoxImpl': z.enum(['default', 'simple']),\n      'Comfy.NodeSearchBoxImpl.ShowCategory': z.boolean(),\n      'Comfy.NodeSuggestions.number': z.number(),\n      'Comfy.Node.ShowDeprecated': z.boolean(),\n      'Comfy.Node.ShowExperimental': z.boolean(),\n      'Comfy.PreviewFormat': z.string(),\n      'Comfy.PromptFilename': z.boolean(),\n      'Comfy.Sidebar.Location': z.enum(['left', 'right']),\n      'Comfy.Sidebar.Size': z.number(),\n      'Comfy.SwitchUser': z.any(),\n      'Comfy.SnapToGrid.GridSize': z.number(),\n      'Comfy.TextareaWidget.FontSize': z.number(),\n      'Comfy.TextareaWidget.Spellcheck': z.boolean(),\n      'Comfy.UseNewMenu': z.any(),\n      'Comfy.Validation.Workflows': z.boolean(),\n      'Comfy.Workflow.SortNodeIdOnSave': z.boolean(),\n      'Comfy.Queue.ImageFit': z.enum(['contain', 'cover']),\n      'Comfy.Workflow.ModelDownload.AllowedSources': z.array(z.string()),\n      'Comfy.Workflow.ModelDownload.AllowedSuffixes': z.array(z.string()),\n      'Comfy.Node.DoubleClickTitleToEdit': z.boolean()\n    })\n    .optional()\n)\n\nexport type EmbeddingsResponse = z.infer<typeof zEmbeddingsResponse>\nexport type ExtensionsResponse = z.infer<typeof zExtensionsResponse>\nexport type PromptResponse = z.infer<typeof zPromptResponse>\nexport type Settings = z.infer<typeof zSettings>\nexport type SystemStats = z.infer<typeof zSystemStats>\nexport type User = z.infer<typeof zUser>\nexport type UserData = z.infer<typeof zUserData>\n","'use strict';\n\nexport default function bind(fn, thisArg) {\n  return function wrap() {\n    return fn.apply(thisArg, arguments);\n  };\n}\n","'use strict';\n\nimport bind from './helpers/bind.js';\n\n// utils is a library of generic helper functions non-specific to axios\n\nconst {toString} = Object.prototype;\nconst {getPrototypeOf} = Object;\n\nconst kindOf = (cache => thing => {\n    const str = toString.call(thing);\n    return cache[str] || (cache[str] = str.slice(8, -1).toLowerCase());\n})(Object.create(null));\n\nconst kindOfTest = (type) => {\n  type = type.toLowerCase();\n  return (thing) => kindOf(thing) === type\n}\n\nconst typeOfTest = type => thing => typeof thing === type;\n\n/**\n * Determine if a value is an Array\n *\n * @param {Object} val The value to test\n *\n * @returns {boolean} True if value is an Array, otherwise false\n */\nconst {isArray} = Array;\n\n/**\n * Determine if a value is undefined\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if the value is undefined, otherwise false\n */\nconst isUndefined = typeOfTest('undefined');\n\n/**\n * Determine if a value is a Buffer\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a Buffer, otherwise false\n */\nfunction isBuffer(val) {\n  return val !== null && !isUndefined(val) && val.constructor !== null && !isUndefined(val.constructor)\n    && isFunction(val.constructor.isBuffer) && val.constructor.isBuffer(val);\n}\n\n/**\n * Determine if a value is an ArrayBuffer\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is an ArrayBuffer, otherwise false\n */\nconst isArrayBuffer = kindOfTest('ArrayBuffer');\n\n\n/**\n * Determine if a value is a view on an ArrayBuffer\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a view on an ArrayBuffer, otherwise false\n */\nfunction isArrayBufferView(val) {\n  let result;\n  if ((typeof ArrayBuffer !== 'undefined') && (ArrayBuffer.isView)) {\n    result = ArrayBuffer.isView(val);\n  } else {\n    result = (val) && (val.buffer) && (isArrayBuffer(val.buffer));\n  }\n  return result;\n}\n\n/**\n * Determine if a value is a String\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a String, otherwise false\n */\nconst isString = typeOfTest('string');\n\n/**\n * Determine if a value is a Function\n *\n * @param {*} val The value to test\n * @returns {boolean} True if value is a Function, otherwise false\n */\nconst isFunction = typeOfTest('function');\n\n/**\n * Determine if a value is a Number\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a Number, otherwise false\n */\nconst isNumber = typeOfTest('number');\n\n/**\n * Determine if a value is an Object\n *\n * @param {*} thing The value to test\n *\n * @returns {boolean} True if value is an Object, otherwise false\n */\nconst isObject = (thing) => thing !== null && typeof thing === 'object';\n\n/**\n * Determine if a value is a Boolean\n *\n * @param {*} thing The value to test\n * @returns {boolean} True if value is a Boolean, otherwise false\n */\nconst isBoolean = thing => thing === true || thing === false;\n\n/**\n * Determine if a value is a plain Object\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a plain Object, otherwise false\n */\nconst isPlainObject = (val) => {\n  if (kindOf(val) !== 'object') {\n    return false;\n  }\n\n  const prototype = getPrototypeOf(val);\n  return (prototype === null || prototype === Object.prototype || Object.getPrototypeOf(prototype) === null) && !(Symbol.toStringTag in val) && !(Symbol.iterator in val);\n}\n\n/**\n * Determine if a value is a Date\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a Date, otherwise false\n */\nconst isDate = kindOfTest('Date');\n\n/**\n * Determine if a value is a File\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a File, otherwise false\n */\nconst isFile = kindOfTest('File');\n\n/**\n * Determine if a value is a Blob\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a Blob, otherwise false\n */\nconst isBlob = kindOfTest('Blob');\n\n/**\n * Determine if a value is a FileList\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a File, otherwise false\n */\nconst isFileList = kindOfTest('FileList');\n\n/**\n * Determine if a value is a Stream\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a Stream, otherwise false\n */\nconst isStream = (val) => isObject(val) && isFunction(val.pipe);\n\n/**\n * Determine if a value is a FormData\n *\n * @param {*} thing The value to test\n *\n * @returns {boolean} True if value is an FormData, otherwise false\n */\nconst isFormData = (thing) => {\n  let kind;\n  return thing && (\n    (typeof FormData === 'function' && thing instanceof FormData) || (\n      isFunction(thing.append) && (\n        (kind = kindOf(thing)) === 'formdata' ||\n        // detect form-data instance\n        (kind === 'object' && isFunction(thing.toString) && thing.toString() === '[object FormData]')\n      )\n    )\n  )\n}\n\n/**\n * Determine if a value is a URLSearchParams object\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a URLSearchParams object, otherwise false\n */\nconst isURLSearchParams = kindOfTest('URLSearchParams');\n\nconst [isReadableStream, isRequest, isResponse, isHeaders] = ['ReadableStream', 'Request', 'Response', 'Headers'].map(kindOfTest);\n\n/**\n * Trim excess whitespace off the beginning and end of a string\n *\n * @param {String} str The String to trim\n *\n * @returns {String} The String freed of excess whitespace\n */\nconst trim = (str) => str.trim ?\n  str.trim() : str.replace(/^[\\s\\uFEFF\\xA0]+|[\\s\\uFEFF\\xA0]+$/g, '');\n\n/**\n * Iterate over an Array or an Object invoking a function for each item.\n *\n * If `obj` is an Array callback will be called passing\n * the value, index, and complete array for each item.\n *\n * If 'obj' is an Object callback will be called passing\n * the value, key, and complete object for each property.\n *\n * @param {Object|Array} obj The object to iterate\n * @param {Function} fn The callback to invoke for each item\n *\n * @param {Boolean} [allOwnKeys = false]\n * @returns {any}\n */\nfunction forEach(obj, fn, {allOwnKeys = false} = {}) {\n  // Don't bother if no value provided\n  if (obj === null || typeof obj === 'undefined') {\n    return;\n  }\n\n  let i;\n  let l;\n\n  // Force an array if not already something iterable\n  if (typeof obj !== 'object') {\n    /*eslint no-param-reassign:0*/\n    obj = [obj];\n  }\n\n  if (isArray(obj)) {\n    // Iterate over array values\n    for (i = 0, l = obj.length; i < l; i++) {\n      fn.call(null, obj[i], i, obj);\n    }\n  } else {\n    // Iterate over object keys\n    const keys = allOwnKeys ? Object.getOwnPropertyNames(obj) : Object.keys(obj);\n    const len = keys.length;\n    let key;\n\n    for (i = 0; i < len; i++) {\n      key = keys[i];\n      fn.call(null, obj[key], key, obj);\n    }\n  }\n}\n\nfunction findKey(obj, key) {\n  key = key.toLowerCase();\n  const keys = Object.keys(obj);\n  let i = keys.length;\n  let _key;\n  while (i-- > 0) {\n    _key = keys[i];\n    if (key === _key.toLowerCase()) {\n      return _key;\n    }\n  }\n  return null;\n}\n\nconst _global = (() => {\n  /*eslint no-undef:0*/\n  if (typeof globalThis !== \"undefined\") return globalThis;\n  return typeof self !== \"undefined\" ? self : (typeof window !== 'undefined' ? window : global)\n})();\n\nconst isContextDefined = (context) => !isUndefined(context) && context !== _global;\n\n/**\n * Accepts varargs expecting each argument to be an object, then\n * immutably merges the properties of each object and returns result.\n *\n * When multiple objects contain the same key the later object in\n * the arguments list will take precedence.\n *\n * Example:\n *\n * ```js\n * var result = merge({foo: 123}, {foo: 456});\n * console.log(result.foo); // outputs 456\n * ```\n *\n * @param {Object} obj1 Object to merge\n *\n * @returns {Object} Result of all merge properties\n */\nfunction merge(/* obj1, obj2, obj3, ... */) {\n  const {caseless} = isContextDefined(this) && this || {};\n  const result = {};\n  const assignValue = (val, key) => {\n    const targetKey = caseless && findKey(result, key) || key;\n    if (isPlainObject(result[targetKey]) && isPlainObject(val)) {\n      result[targetKey] = merge(result[targetKey], val);\n    } else if (isPlainObject(val)) {\n      result[targetKey] = merge({}, val);\n    } else if (isArray(val)) {\n      result[targetKey] = val.slice();\n    } else {\n      result[targetKey] = val;\n    }\n  }\n\n  for (let i = 0, l = arguments.length; i < l; i++) {\n    arguments[i] && forEach(arguments[i], assignValue);\n  }\n  return result;\n}\n\n/**\n * Extends object a by mutably adding to it the properties of object b.\n *\n * @param {Object} a The object to be extended\n * @param {Object} b The object to copy properties from\n * @param {Object} thisArg The object to bind function to\n *\n * @param {Boolean} [allOwnKeys]\n * @returns {Object} The resulting value of object a\n */\nconst extend = (a, b, thisArg, {allOwnKeys}= {}) => {\n  forEach(b, (val, key) => {\n    if (thisArg && isFunction(val)) {\n      a[key] = bind(val, thisArg);\n    } else {\n      a[key] = val;\n    }\n  }, {allOwnKeys});\n  return a;\n}\n\n/**\n * Remove byte order marker. This catches EF BB BF (the UTF-8 BOM)\n *\n * @param {string} content with BOM\n *\n * @returns {string} content value without BOM\n */\nconst stripBOM = (content) => {\n  if (content.charCodeAt(0) === 0xFEFF) {\n    content = content.slice(1);\n  }\n  return content;\n}\n\n/**\n * Inherit the prototype methods from one constructor into another\n * @param {function} constructor\n * @param {function} superConstructor\n * @param {object} [props]\n * @param {object} [descriptors]\n *\n * @returns {void}\n */\nconst inherits = (constructor, superConstructor, props, descriptors) => {\n  constructor.prototype = Object.create(superConstructor.prototype, descriptors);\n  constructor.prototype.constructor = constructor;\n  Object.defineProperty(constructor, 'super', {\n    value: superConstructor.prototype\n  });\n  props && Object.assign(constructor.prototype, props);\n}\n\n/**\n * Resolve object with deep prototype chain to a flat object\n * @param {Object} sourceObj source object\n * @param {Object} [destObj]\n * @param {Function|Boolean} [filter]\n * @param {Function} [propFilter]\n *\n * @returns {Object}\n */\nconst toFlatObject = (sourceObj, destObj, filter, propFilter) => {\n  let props;\n  let i;\n  let prop;\n  const merged = {};\n\n  destObj = destObj || {};\n  // eslint-disable-next-line no-eq-null,eqeqeq\n  if (sourceObj == null) return destObj;\n\n  do {\n    props = Object.getOwnPropertyNames(sourceObj);\n    i = props.length;\n    while (i-- > 0) {\n      prop = props[i];\n      if ((!propFilter || propFilter(prop, sourceObj, destObj)) && !merged[prop]) {\n        destObj[prop] = sourceObj[prop];\n        merged[prop] = true;\n      }\n    }\n    sourceObj = filter !== false && getPrototypeOf(sourceObj);\n  } while (sourceObj && (!filter || filter(sourceObj, destObj)) && sourceObj !== Object.prototype);\n\n  return destObj;\n}\n\n/**\n * Determines whether a string ends with the characters of a specified string\n *\n * @param {String} str\n * @param {String} searchString\n * @param {Number} [position= 0]\n *\n * @returns {boolean}\n */\nconst endsWith = (str, searchString, position) => {\n  str = String(str);\n  if (position === undefined || position > str.length) {\n    position = str.length;\n  }\n  position -= searchString.length;\n  const lastIndex = str.indexOf(searchString, position);\n  return lastIndex !== -1 && lastIndex === position;\n}\n\n\n/**\n * Returns new array from array like object or null if failed\n *\n * @param {*} [thing]\n *\n * @returns {?Array}\n */\nconst toArray = (thing) => {\n  if (!thing) return null;\n  if (isArray(thing)) return thing;\n  let i = thing.length;\n  if (!isNumber(i)) return null;\n  const arr = new Array(i);\n  while (i-- > 0) {\n    arr[i] = thing[i];\n  }\n  return arr;\n}\n\n/**\n * Checking if the Uint8Array exists and if it does, it returns a function that checks if the\n * thing passed in is an instance of Uint8Array\n *\n * @param {TypedArray}\n *\n * @returns {Array}\n */\n// eslint-disable-next-line func-names\nconst isTypedArray = (TypedArray => {\n  // eslint-disable-next-line func-names\n  return thing => {\n    return TypedArray && thing instanceof TypedArray;\n  };\n})(typeof Uint8Array !== 'undefined' && getPrototypeOf(Uint8Array));\n\n/**\n * For each entry in the object, call the function with the key and value.\n *\n * @param {Object<any, any>} obj - The object to iterate over.\n * @param {Function} fn - The function to call for each entry.\n *\n * @returns {void}\n */\nconst forEachEntry = (obj, fn) => {\n  const generator = obj && obj[Symbol.iterator];\n\n  const iterator = generator.call(obj);\n\n  let result;\n\n  while ((result = iterator.next()) && !result.done) {\n    const pair = result.value;\n    fn.call(obj, pair[0], pair[1]);\n  }\n}\n\n/**\n * It takes a regular expression and a string, and returns an array of all the matches\n *\n * @param {string} regExp - The regular expression to match against.\n * @param {string} str - The string to search.\n *\n * @returns {Array<boolean>}\n */\nconst matchAll = (regExp, str) => {\n  let matches;\n  const arr = [];\n\n  while ((matches = regExp.exec(str)) !== null) {\n    arr.push(matches);\n  }\n\n  return arr;\n}\n\n/* Checking if the kindOfTest function returns true when passed an HTMLFormElement. */\nconst isHTMLForm = kindOfTest('HTMLFormElement');\n\nconst toCamelCase = str => {\n  return str.toLowerCase().replace(/[-_\\s]([a-z\\d])(\\w*)/g,\n    function replacer(m, p1, p2) {\n      return p1.toUpperCase() + p2;\n    }\n  );\n};\n\n/* Creating a function that will check if an object has a property. */\nconst hasOwnProperty = (({hasOwnProperty}) => (obj, prop) => hasOwnProperty.call(obj, prop))(Object.prototype);\n\n/**\n * Determine if a value is a RegExp object\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a RegExp object, otherwise false\n */\nconst isRegExp = kindOfTest('RegExp');\n\nconst reduceDescriptors = (obj, reducer) => {\n  const descriptors = Object.getOwnPropertyDescriptors(obj);\n  const reducedDescriptors = {};\n\n  forEach(descriptors, (descriptor, name) => {\n    let ret;\n    if ((ret = reducer(descriptor, name, obj)) !== false) {\n      reducedDescriptors[name] = ret || descriptor;\n    }\n  });\n\n  Object.defineProperties(obj, reducedDescriptors);\n}\n\n/**\n * Makes all methods read-only\n * @param {Object} obj\n */\n\nconst freezeMethods = (obj) => {\n  reduceDescriptors(obj, (descriptor, name) => {\n    // skip restricted props in strict mode\n    if (isFunction(obj) && ['arguments', 'caller', 'callee'].indexOf(name) !== -1) {\n      return false;\n    }\n\n    const value = obj[name];\n\n    if (!isFunction(value)) return;\n\n    descriptor.enumerable = false;\n\n    if ('writable' in descriptor) {\n      descriptor.writable = false;\n      return;\n    }\n\n    if (!descriptor.set) {\n      descriptor.set = () => {\n        throw Error('Can not rewrite read-only method \\'' + name + '\\'');\n      };\n    }\n  });\n}\n\nconst toObjectSet = (arrayOrString, delimiter) => {\n  const obj = {};\n\n  const define = (arr) => {\n    arr.forEach(value => {\n      obj[value] = true;\n    });\n  }\n\n  isArray(arrayOrString) ? define(arrayOrString) : define(String(arrayOrString).split(delimiter));\n\n  return obj;\n}\n\nconst noop = () => {}\n\nconst toFiniteNumber = (value, defaultValue) => {\n  return value != null && Number.isFinite(value = +value) ? value : defaultValue;\n}\n\nconst ALPHA = 'abcdefghijklmnopqrstuvwxyz'\n\nconst DIGIT = '0123456789';\n\nconst ALPHABET = {\n  DIGIT,\n  ALPHA,\n  ALPHA_DIGIT: ALPHA + ALPHA.toUpperCase() + DIGIT\n}\n\nconst generateString = (size = 16, alphabet = ALPHABET.ALPHA_DIGIT) => {\n  let str = '';\n  const {length} = alphabet;\n  while (size--) {\n    str += alphabet[Math.random() * length|0]\n  }\n\n  return str;\n}\n\n/**\n * If the thing is a FormData object, return true, otherwise return false.\n *\n * @param {unknown} thing - The thing to check.\n *\n * @returns {boolean}\n */\nfunction isSpecCompliantForm(thing) {\n  return !!(thing && isFunction(thing.append) && thing[Symbol.toStringTag] === 'FormData' && thing[Symbol.iterator]);\n}\n\nconst toJSONObject = (obj) => {\n  const stack = new Array(10);\n\n  const visit = (source, i) => {\n\n    if (isObject(source)) {\n      if (stack.indexOf(source) >= 0) {\n        return;\n      }\n\n      if(!('toJSON' in source)) {\n        stack[i] = source;\n        const target = isArray(source) ? [] : {};\n\n        forEach(source, (value, key) => {\n          const reducedValue = visit(value, i + 1);\n          !isUndefined(reducedValue) && (target[key] = reducedValue);\n        });\n\n        stack[i] = undefined;\n\n        return target;\n      }\n    }\n\n    return source;\n  }\n\n  return visit(obj, 0);\n}\n\nconst isAsyncFn = kindOfTest('AsyncFunction');\n\nconst isThenable = (thing) =>\n  thing && (isObject(thing) || isFunction(thing)) && isFunction(thing.then) && isFunction(thing.catch);\n\n// original code\n// https://github.com/DigitalBrainJS/AxiosPromise/blob/16deab13710ec09779922131f3fa5954320f83ab/lib/utils.js#L11-L34\n\nconst _setImmediate = ((setImmediateSupported, postMessageSupported) => {\n  if (setImmediateSupported) {\n    return setImmediate;\n  }\n\n  return postMessageSupported ? ((token, callbacks) => {\n    _global.addEventListener(\"message\", ({source, data}) => {\n      if (source === _global && data === token) {\n        callbacks.length && callbacks.shift()();\n      }\n    }, false);\n\n    return (cb) => {\n      callbacks.push(cb);\n      _global.postMessage(token, \"*\");\n    }\n  })(`axios@${Math.random()}`, []) : (cb) => setTimeout(cb);\n})(\n  typeof setImmediate === 'function',\n  isFunction(_global.postMessage)\n);\n\nconst asap = typeof queueMicrotask !== 'undefined' ?\n  queueMicrotask.bind(_global) : ( typeof process !== 'undefined' && process.nextTick || _setImmediate);\n\n// *********************\n\nexport default {\n  isArray,\n  isArrayBuffer,\n  isBuffer,\n  isFormData,\n  isArrayBufferView,\n  isString,\n  isNumber,\n  isBoolean,\n  isObject,\n  isPlainObject,\n  isReadableStream,\n  isRequest,\n  isResponse,\n  isHeaders,\n  isUndefined,\n  isDate,\n  isFile,\n  isBlob,\n  isRegExp,\n  isFunction,\n  isStream,\n  isURLSearchParams,\n  isTypedArray,\n  isFileList,\n  forEach,\n  merge,\n  extend,\n  trim,\n  stripBOM,\n  inherits,\n  toFlatObject,\n  kindOf,\n  kindOfTest,\n  endsWith,\n  toArray,\n  forEachEntry,\n  matchAll,\n  isHTMLForm,\n  hasOwnProperty,\n  hasOwnProp: hasOwnProperty, // an alias to avoid ESLint no-prototype-builtins detection\n  reduceDescriptors,\n  freezeMethods,\n  toObjectSet,\n  toCamelCase,\n  noop,\n  toFiniteNumber,\n  findKey,\n  global: _global,\n  isContextDefined,\n  ALPHABET,\n  generateString,\n  isSpecCompliantForm,\n  toJSONObject,\n  isAsyncFn,\n  isThenable,\n  setImmediate: _setImmediate,\n  asap\n};\n","'use strict';\n\nimport utils from '../utils.js';\n\n/**\n * Create an Error with the specified message, config, error code, request and response.\n *\n * @param {string} message The error message.\n * @param {string} [code] The error code (for example, 'ECONNABORTED').\n * @param {Object} [config] The config.\n * @param {Object} [request] The request.\n * @param {Object} [response] The response.\n *\n * @returns {Error} The created error.\n */\nfunction AxiosError(message, code, config, request, response) {\n  Error.call(this);\n\n  if (Error.captureStackTrace) {\n    Error.captureStackTrace(this, this.constructor);\n  } else {\n    this.stack = (new Error()).stack;\n  }\n\n  this.message = message;\n  this.name = 'AxiosError';\n  code && (this.code = code);\n  config && (this.config = config);\n  request && (this.request = request);\n  response && (this.response = response);\n}\n\nutils.inherits(AxiosError, Error, {\n  toJSON: function toJSON() {\n    return {\n      // Standard\n      message: this.message,\n      name: this.name,\n      // Microsoft\n      description: this.description,\n      number: this.number,\n      // Mozilla\n      fileName: this.fileName,\n      lineNumber: this.lineNumber,\n      columnNumber: this.columnNumber,\n      stack: this.stack,\n      // Axios\n      config: utils.toJSONObject(this.config),\n      code: this.code,\n      status: this.response && this.response.status ? this.response.status : null\n    };\n  }\n});\n\nconst prototype = AxiosError.prototype;\nconst descriptors = {};\n\n[\n  'ERR_BAD_OPTION_VALUE',\n  'ERR_BAD_OPTION',\n  'ECONNABORTED',\n  'ETIMEDOUT',\n  'ERR_NETWORK',\n  'ERR_FR_TOO_MANY_REDIRECTS',\n  'ERR_DEPRECATED',\n  'ERR_BAD_RESPONSE',\n  'ERR_BAD_REQUEST',\n  'ERR_CANCELED',\n  'ERR_NOT_SUPPORT',\n  'ERR_INVALID_URL'\n// eslint-disable-next-line func-names\n].forEach(code => {\n  descriptors[code] = {value: code};\n});\n\nObject.defineProperties(AxiosError, descriptors);\nObject.defineProperty(prototype, 'isAxiosError', {value: true});\n\n// eslint-disable-next-line func-names\nAxiosError.from = (error, code, config, request, response, customProps) => {\n  const axiosError = Object.create(prototype);\n\n  utils.toFlatObject(error, axiosError, function filter(obj) {\n    return obj !== Error.prototype;\n  }, prop => {\n    return prop !== 'isAxiosError';\n  });\n\n  AxiosError.call(axiosError, error.message, code, config, request, response);\n\n  axiosError.cause = error;\n\n  axiosError.name = error.name;\n\n  customProps && Object.assign(axiosError, customProps);\n\n  return axiosError;\n};\n\nexport default AxiosError;\n","// eslint-disable-next-line strict\nexport default null;\n","'use strict';\n\nimport utils from '../utils.js';\nimport AxiosError from '../core/AxiosError.js';\n// temporary hotfix to avoid circular references until AxiosURLSearchParams is refactored\nimport PlatformFormData from '../platform/node/classes/FormData.js';\n\n/**\n * Determines if the given thing is a array or js object.\n *\n * @param {string} thing - The object or array to be visited.\n *\n * @returns {boolean}\n */\nfunction isVisitable(thing) {\n  return utils.isPlainObject(thing) || utils.isArray(thing);\n}\n\n/**\n * It removes the brackets from the end of a string\n *\n * @param {string} key - The key of the parameter.\n *\n * @returns {string} the key without the brackets.\n */\nfunction removeBrackets(key) {\n  return utils.endsWith(key, '[]') ? key.slice(0, -2) : key;\n}\n\n/**\n * It takes a path, a key, and a boolean, and returns a string\n *\n * @param {string} path - The path to the current key.\n * @param {string} key - The key of the current object being iterated over.\n * @param {string} dots - If true, the key will be rendered with dots instead of brackets.\n *\n * @returns {string} The path to the current key.\n */\nfunction renderKey(path, key, dots) {\n  if (!path) return key;\n  return path.concat(key).map(function each(token, i) {\n    // eslint-disable-next-line no-param-reassign\n    token = removeBrackets(token);\n    return !dots && i ? '[' + token + ']' : token;\n  }).join(dots ? '.' : '');\n}\n\n/**\n * If the array is an array and none of its elements are visitable, then it's a flat array.\n *\n * @param {Array<any>} arr - The array to check\n *\n * @returns {boolean}\n */\nfunction isFlatArray(arr) {\n  return utils.isArray(arr) && !arr.some(isVisitable);\n}\n\nconst predicates = utils.toFlatObject(utils, {}, null, function filter(prop) {\n  return /^is[A-Z]/.test(prop);\n});\n\n/**\n * Convert a data object to FormData\n *\n * @param {Object} obj\n * @param {?Object} [formData]\n * @param {?Object} [options]\n * @param {Function} [options.visitor]\n * @param {Boolean} [options.metaTokens = true]\n * @param {Boolean} [options.dots = false]\n * @param {?Boolean} [options.indexes = false]\n *\n * @returns {Object}\n **/\n\n/**\n * It converts an object into a FormData object\n *\n * @param {Object<any, any>} obj - The object to convert to form data.\n * @param {string} formData - The FormData object to append to.\n * @param {Object<string, any>} options\n *\n * @returns\n */\nfunction toFormData(obj, formData, options) {\n  if (!utils.isObject(obj)) {\n    throw new TypeError('target must be an object');\n  }\n\n  // eslint-disable-next-line no-param-reassign\n  formData = formData || new (PlatformFormData || FormData)();\n\n  // eslint-disable-next-line no-param-reassign\n  options = utils.toFlatObject(options, {\n    metaTokens: true,\n    dots: false,\n    indexes: false\n  }, false, function defined(option, source) {\n    // eslint-disable-next-line no-eq-null,eqeqeq\n    return !utils.isUndefined(source[option]);\n  });\n\n  const metaTokens = options.metaTokens;\n  // eslint-disable-next-line no-use-before-define\n  const visitor = options.visitor || defaultVisitor;\n  const dots = options.dots;\n  const indexes = options.indexes;\n  const _Blob = options.Blob || typeof Blob !== 'undefined' && Blob;\n  const useBlob = _Blob && utils.isSpecCompliantForm(formData);\n\n  if (!utils.isFunction(visitor)) {\n    throw new TypeError('visitor must be a function');\n  }\n\n  function convertValue(value) {\n    if (value === null) return '';\n\n    if (utils.isDate(value)) {\n      return value.toISOString();\n    }\n\n    if (!useBlob && utils.isBlob(value)) {\n      throw new AxiosError('Blob is not supported. Use a Buffer instead.');\n    }\n\n    if (utils.isArrayBuffer(value) || utils.isTypedArray(value)) {\n      return useBlob && typeof Blob === 'function' ? new Blob([value]) : Buffer.from(value);\n    }\n\n    return value;\n  }\n\n  /**\n   * Default visitor.\n   *\n   * @param {*} value\n   * @param {String|Number} key\n   * @param {Array<String|Number>} path\n   * @this {FormData}\n   *\n   * @returns {boolean} return true to visit the each prop of the value recursively\n   */\n  function defaultVisitor(value, key, path) {\n    let arr = value;\n\n    if (value && !path && typeof value === 'object') {\n      if (utils.endsWith(key, '{}')) {\n        // eslint-disable-next-line no-param-reassign\n        key = metaTokens ? key : key.slice(0, -2);\n        // eslint-disable-next-line no-param-reassign\n        value = JSON.stringify(value);\n      } else if (\n        (utils.isArray(value) && isFlatArray(value)) ||\n        ((utils.isFileList(value) || utils.endsWith(key, '[]')) && (arr = utils.toArray(value))\n        )) {\n        // eslint-disable-next-line no-param-reassign\n        key = removeBrackets(key);\n\n        arr.forEach(function each(el, index) {\n          !(utils.isUndefined(el) || el === null) && formData.append(\n            // eslint-disable-next-line no-nested-ternary\n            indexes === true ? renderKey([key], index, dots) : (indexes === null ? key : key + '[]'),\n            convertValue(el)\n          );\n        });\n        return false;\n      }\n    }\n\n    if (isVisitable(value)) {\n      return true;\n    }\n\n    formData.append(renderKey(path, key, dots), convertValue(value));\n\n    return false;\n  }\n\n  const stack = [];\n\n  const exposedHelpers = Object.assign(predicates, {\n    defaultVisitor,\n    convertValue,\n    isVisitable\n  });\n\n  function build(value, path) {\n    if (utils.isUndefined(value)) return;\n\n    if (stack.indexOf(value) !== -1) {\n      throw Error('Circular reference detected in ' + path.join('.'));\n    }\n\n    stack.push(value);\n\n    utils.forEach(value, function each(el, key) {\n      const result = !(utils.isUndefined(el) || el === null) && visitor.call(\n        formData, el, utils.isString(key) ? key.trim() : key, path, exposedHelpers\n      );\n\n      if (result === true) {\n        build(el, path ? path.concat(key) : [key]);\n      }\n    });\n\n    stack.pop();\n  }\n\n  if (!utils.isObject(obj)) {\n    throw new TypeError('data must be an object');\n  }\n\n  build(obj);\n\n  return formData;\n}\n\nexport default toFormData;\n","'use strict';\n\nimport toFormData from './toFormData.js';\n\n/**\n * It encodes a string by replacing all characters that are not in the unreserved set with\n * their percent-encoded equivalents\n *\n * @param {string} str - The string to encode.\n *\n * @returns {string} The encoded string.\n */\nfunction encode(str) {\n  const charMap = {\n    '!': '%21',\n    \"'\": '%27',\n    '(': '%28',\n    ')': '%29',\n    '~': '%7E',\n    '%20': '+',\n    '%00': '\\x00'\n  };\n  return encodeURIComponent(str).replace(/[!'()~]|%20|%00/g, function replacer(match) {\n    return charMap[match];\n  });\n}\n\n/**\n * It takes a params object and converts it to a FormData object\n *\n * @param {Object<string, any>} params - The parameters to be converted to a FormData object.\n * @param {Object<string, any>} options - The options object passed to the Axios constructor.\n *\n * @returns {void}\n */\nfunction AxiosURLSearchParams(params, options) {\n  this._pairs = [];\n\n  params && toFormData(params, this, options);\n}\n\nconst prototype = AxiosURLSearchParams.prototype;\n\nprototype.append = function append(name, value) {\n  this._pairs.push([name, value]);\n};\n\nprototype.toString = function toString(encoder) {\n  const _encode = encoder ? function(value) {\n    return encoder.call(this, value, encode);\n  } : encode;\n\n  return this._pairs.map(function each(pair) {\n    return _encode(pair[0]) + '=' + _encode(pair[1]);\n  }, '').join('&');\n};\n\nexport default AxiosURLSearchParams;\n","'use strict';\n\nimport utils from '../utils.js';\nimport AxiosURLSearchParams from '../helpers/AxiosURLSearchParams.js';\n\n/**\n * It replaces all instances of the characters `:`, `$`, `,`, `+`, `[`, and `]` with their\n * URI encoded counterparts\n *\n * @param {string} val The value to be encoded.\n *\n * @returns {string} The encoded value.\n */\nfunction encode(val) {\n  return encodeURIComponent(val).\n    replace(/%3A/gi, ':').\n    replace(/%24/g, '$').\n    replace(/%2C/gi, ',').\n    replace(/%20/g, '+').\n    replace(/%5B/gi, '[').\n    replace(/%5D/gi, ']');\n}\n\n/**\n * Build a URL by appending params to the end\n *\n * @param {string} url The base of the url (e.g., http://www.google.com)\n * @param {object} [params] The params to be appended\n * @param {?object} options\n *\n * @returns {string} The formatted url\n */\nexport default function buildURL(url, params, options) {\n  /*eslint no-param-reassign:0*/\n  if (!params) {\n    return url;\n  }\n  \n  const _encode = options && options.encode || encode;\n\n  const serializeFn = options && options.serialize;\n\n  let serializedParams;\n\n  if (serializeFn) {\n    serializedParams = serializeFn(params, options);\n  } else {\n    serializedParams = utils.isURLSearchParams(params) ?\n      params.toString() :\n      new AxiosURLSearchParams(params, options).toString(_encode);\n  }\n\n  if (serializedParams) {\n    const hashmarkIndex = url.indexOf(\"#\");\n\n    if (hashmarkIndex !== -1) {\n      url = url.slice(0, hashmarkIndex);\n    }\n    url += (url.indexOf('?') === -1 ? '?' : '&') + serializedParams;\n  }\n\n  return url;\n}\n","'use strict';\n\nimport utils from './../utils.js';\n\nclass InterceptorManager {\n  constructor() {\n    this.handlers = [];\n  }\n\n  /**\n   * Add a new interceptor to the stack\n   *\n   * @param {Function} fulfilled The function to handle `then` for a `Promise`\n   * @param {Function} rejected The function to handle `reject` for a `Promise`\n   *\n   * @return {Number} An ID used to remove interceptor later\n   */\n  use(fulfilled, rejected, options) {\n    this.handlers.push({\n      fulfilled,\n      rejected,\n      synchronous: options ? options.synchronous : false,\n      runWhen: options ? options.runWhen : null\n    });\n    return this.handlers.length - 1;\n  }\n\n  /**\n   * Remove an interceptor from the stack\n   *\n   * @param {Number} id The ID that was returned by `use`\n   *\n   * @returns {Boolean} `true` if the interceptor was removed, `false` otherwise\n   */\n  eject(id) {\n    if (this.handlers[id]) {\n      this.handlers[id] = null;\n    }\n  }\n\n  /**\n   * Clear all interceptors from the stack\n   *\n   * @returns {void}\n   */\n  clear() {\n    if (this.handlers) {\n      this.handlers = [];\n    }\n  }\n\n  /**\n   * Iterate over all the registered interceptors\n   *\n   * This method is particularly useful for skipping over any\n   * interceptors that may have become `null` calling `eject`.\n   *\n   * @param {Function} fn The function to call for each interceptor\n   *\n   * @returns {void}\n   */\n  forEach(fn) {\n    utils.forEach(this.handlers, function forEachHandler(h) {\n      if (h !== null) {\n        fn(h);\n      }\n    });\n  }\n}\n\nexport default InterceptorManager;\n","'use strict';\n\nexport default {\n  silentJSONParsing: true,\n  forcedJSONParsing: true,\n  clarifyTimeoutError: false\n};\n","'use strict';\n\nimport AxiosURLSearchParams from '../../../helpers/AxiosURLSearchParams.js';\nexport default typeof URLSearchParams !== 'undefined' ? URLSearchParams : AxiosURLSearchParams;\n","'use strict';\n\nexport default typeof FormData !== 'undefined' ? FormData : null;\n","'use strict'\n\nexport default typeof Blob !== 'undefined' ? Blob : null\n","import URLSearchParams from './classes/URLSearchParams.js'\nimport FormData from './classes/FormData.js'\nimport Blob from './classes/Blob.js'\n\nexport default {\n  isBrowser: true,\n  classes: {\n    URLSearchParams,\n    FormData,\n    Blob\n  },\n  protocols: ['http', 'https', 'file', 'blob', 'url', 'data']\n};\n","const hasBrowserEnv = typeof window !== 'undefined' && typeof document !== 'undefined';\n\n/**\n * Determine if we're running in a standard browser environment\n *\n * This allows axios to run in a web worker, and react-native.\n * Both environments support XMLHttpRequest, but not fully standard globals.\n *\n * web workers:\n *  typeof window -> undefined\n *  typeof document -> undefined\n *\n * react-native:\n *  navigator.product -> 'ReactNative'\n * nativescript\n *  navigator.product -> 'NativeScript' or 'NS'\n *\n * @returns {boolean}\n */\nconst hasStandardBrowserEnv = (\n  (product) => {\n    return hasBrowserEnv && ['ReactNative', 'NativeScript', 'NS'].indexOf(product) < 0\n  })(typeof navigator !== 'undefined' && navigator.product);\n\n/**\n * Determine if we're running in a standard browser webWorker environment\n *\n * Although the `isStandardBrowserEnv` method indicates that\n * `allows axios to run in a web worker`, the WebWorker will still be\n * filtered out due to its judgment standard\n * `typeof window !== 'undefined' && typeof document !== 'undefined'`.\n * This leads to a problem when axios post `FormData` in webWorker\n */\nconst hasStandardBrowserWebWorkerEnv = (() => {\n  return (\n    typeof WorkerGlobalScope !== 'undefined' &&\n    // eslint-disable-next-line no-undef\n    self instanceof WorkerGlobalScope &&\n    typeof self.importScripts === 'function'\n  );\n})();\n\nconst origin = hasBrowserEnv && window.location.href || 'http://localhost';\n\nexport {\n  hasBrowserEnv,\n  hasStandardBrowserWebWorkerEnv,\n  hasStandardBrowserEnv,\n  origin\n}\n","import platform from './node/index.js';\nimport * as utils from './common/utils.js';\n\nexport default {\n  ...utils,\n  ...platform\n}\n","'use strict';\n\nimport utils from '../utils.js';\nimport toFormData from './toFormData.js';\nimport platform from '../platform/index.js';\n\nexport default function toURLEncodedForm(data, options) {\n  return toFormData(data, new platform.classes.URLSearchParams(), Object.assign({\n    visitor: function(value, key, path, helpers) {\n      if (platform.isNode && utils.isBuffer(value)) {\n        this.append(key, value.toString('base64'));\n        return false;\n      }\n\n      return helpers.defaultVisitor.apply(this, arguments);\n    }\n  }, options));\n}\n","'use strict';\n\nimport utils from '../utils.js';\n\n/**\n * It takes a string like `foo[x][y][z]` and returns an array like `['foo', 'x', 'y', 'z']\n *\n * @param {string} name - The name of the property to get.\n *\n * @returns An array of strings.\n */\nfunction parsePropPath(name) {\n  // foo[x][y][z]\n  // foo.x.y.z\n  // foo-x-y-z\n  // foo x y z\n  return utils.matchAll(/\\w+|\\[(\\w*)]/g, name).map(match => {\n    return match[0] === '[]' ? '' : match[1] || match[0];\n  });\n}\n\n/**\n * Convert an array to an object.\n *\n * @param {Array<any>} arr - The array to convert to an object.\n *\n * @returns An object with the same keys and values as the array.\n */\nfunction arrayToObject(arr) {\n  const obj = {};\n  const keys = Object.keys(arr);\n  let i;\n  const len = keys.length;\n  let key;\n  for (i = 0; i < len; i++) {\n    key = keys[i];\n    obj[key] = arr[key];\n  }\n  return obj;\n}\n\n/**\n * It takes a FormData object and returns a JavaScript object\n *\n * @param {string} formData The FormData object to convert to JSON.\n *\n * @returns {Object<string, any> | null} The converted object.\n */\nfunction formDataToJSON(formData) {\n  function buildPath(path, value, target, index) {\n    let name = path[index++];\n\n    if (name === '__proto__') return true;\n\n    const isNumericKey = Number.isFinite(+name);\n    const isLast = index >= path.length;\n    name = !name && utils.isArray(target) ? target.length : name;\n\n    if (isLast) {\n      if (utils.hasOwnProp(target, name)) {\n        target[name] = [target[name], value];\n      } else {\n        target[name] = value;\n      }\n\n      return !isNumericKey;\n    }\n\n    if (!target[name] || !utils.isObject(target[name])) {\n      target[name] = [];\n    }\n\n    const result = buildPath(path, value, target[name], index);\n\n    if (result && utils.isArray(target[name])) {\n      target[name] = arrayToObject(target[name]);\n    }\n\n    return !isNumericKey;\n  }\n\n  if (utils.isFormData(formData) && utils.isFunction(formData.entries)) {\n    const obj = {};\n\n    utils.forEachEntry(formData, (name, value) => {\n      buildPath(parsePropPath(name), value, obj, 0);\n    });\n\n    return obj;\n  }\n\n  return null;\n}\n\nexport default formDataToJSON;\n","'use strict';\n\nimport utils from '../utils.js';\nimport AxiosError from '../core/AxiosError.js';\nimport transitionalDefaults from './transitional.js';\nimport toFormData from '../helpers/toFormData.js';\nimport toURLEncodedForm from '../helpers/toURLEncodedForm.js';\nimport platform from '../platform/index.js';\nimport formDataToJSON from '../helpers/formDataToJSON.js';\n\n/**\n * It takes a string, tries to parse it, and if it fails, it returns the stringified version\n * of the input\n *\n * @param {any} rawValue - The value to be stringified.\n * @param {Function} parser - A function that parses a string into a JavaScript object.\n * @param {Function} encoder - A function that takes a value and returns a string.\n *\n * @returns {string} A stringified version of the rawValue.\n */\nfunction stringifySafely(rawValue, parser, encoder) {\n  if (utils.isString(rawValue)) {\n    try {\n      (parser || JSON.parse)(rawValue);\n      return utils.trim(rawValue);\n    } catch (e) {\n      if (e.name !== 'SyntaxError') {\n        throw e;\n      }\n    }\n  }\n\n  return (encoder || JSON.stringify)(rawValue);\n}\n\nconst defaults = {\n\n  transitional: transitionalDefaults,\n\n  adapter: ['xhr', 'http', 'fetch'],\n\n  transformRequest: [function transformRequest(data, headers) {\n    const contentType = headers.getContentType() || '';\n    const hasJSONContentType = contentType.indexOf('application/json') > -1;\n    const isObjectPayload = utils.isObject(data);\n\n    if (isObjectPayload && utils.isHTMLForm(data)) {\n      data = new FormData(data);\n    }\n\n    const isFormData = utils.isFormData(data);\n\n    if (isFormData) {\n      return hasJSONContentType ? JSON.stringify(formDataToJSON(data)) : data;\n    }\n\n    if (utils.isArrayBuffer(data) ||\n      utils.isBuffer(data) ||\n      utils.isStream(data) ||\n      utils.isFile(data) ||\n      utils.isBlob(data) ||\n      utils.isReadableStream(data)\n    ) {\n      return data;\n    }\n    if (utils.isArrayBufferView(data)) {\n      return data.buffer;\n    }\n    if (utils.isURLSearchParams(data)) {\n      headers.setContentType('application/x-www-form-urlencoded;charset=utf-8', false);\n      return data.toString();\n    }\n\n    let isFileList;\n\n    if (isObjectPayload) {\n      if (contentType.indexOf('application/x-www-form-urlencoded') > -1) {\n        return toURLEncodedForm(data, this.formSerializer).toString();\n      }\n\n      if ((isFileList = utils.isFileList(data)) || contentType.indexOf('multipart/form-data') > -1) {\n        const _FormData = this.env && this.env.FormData;\n\n        return toFormData(\n          isFileList ? {'files[]': data} : data,\n          _FormData && new _FormData(),\n          this.formSerializer\n        );\n      }\n    }\n\n    if (isObjectPayload || hasJSONContentType ) {\n      headers.setContentType('application/json', false);\n      return stringifySafely(data);\n    }\n\n    return data;\n  }],\n\n  transformResponse: [function transformResponse(data) {\n    const transitional = this.transitional || defaults.transitional;\n    const forcedJSONParsing = transitional && transitional.forcedJSONParsing;\n    const JSONRequested = this.responseType === 'json';\n\n    if (utils.isResponse(data) || utils.isReadableStream(data)) {\n      return data;\n    }\n\n    if (data && utils.isString(data) && ((forcedJSONParsing && !this.responseType) || JSONRequested)) {\n      const silentJSONParsing = transitional && transitional.silentJSONParsing;\n      const strictJSONParsing = !silentJSONParsing && JSONRequested;\n\n      try {\n        return JSON.parse(data);\n      } catch (e) {\n        if (strictJSONParsing) {\n          if (e.name === 'SyntaxError') {\n            throw AxiosError.from(e, AxiosError.ERR_BAD_RESPONSE, this, null, this.response);\n          }\n          throw e;\n        }\n      }\n    }\n\n    return data;\n  }],\n\n  /**\n   * A timeout in milliseconds to abort a request. If set to 0 (default) a\n   * timeout is not created.\n   */\n  timeout: 0,\n\n  xsrfCookieName: 'XSRF-TOKEN',\n  xsrfHeaderName: 'X-XSRF-TOKEN',\n\n  maxContentLength: -1,\n  maxBodyLength: -1,\n\n  env: {\n    FormData: platform.classes.FormData,\n    Blob: platform.classes.Blob\n  },\n\n  validateStatus: function validateStatus(status) {\n    return status >= 200 && status < 300;\n  },\n\n  headers: {\n    common: {\n      'Accept': 'application/json, text/plain, */*',\n      'Content-Type': undefined\n    }\n  }\n};\n\nutils.forEach(['delete', 'get', 'head', 'post', 'put', 'patch'], (method) => {\n  defaults.headers[method] = {};\n});\n\nexport default defaults;\n","'use strict';\n\nimport utils from './../utils.js';\n\n// RawAxiosHeaders whose duplicates are ignored by node\n// c.f. https://nodejs.org/api/http.html#http_message_headers\nconst ignoreDuplicateOf = utils.toObjectSet([\n  'age', 'authorization', 'content-length', 'content-type', 'etag',\n  'expires', 'from', 'host', 'if-modified-since', 'if-unmodified-since',\n  'last-modified', 'location', 'max-forwards', 'proxy-authorization',\n  'referer', 'retry-after', 'user-agent'\n]);\n\n/**\n * Parse headers into an object\n *\n * ```\n * Date: Wed, 27 Aug 2014 08:58:49 GMT\n * Content-Type: application/json\n * Connection: keep-alive\n * Transfer-Encoding: chunked\n * ```\n *\n * @param {String} rawHeaders Headers needing to be parsed\n *\n * @returns {Object} Headers parsed into an object\n */\nexport default rawHeaders => {\n  const parsed = {};\n  let key;\n  let val;\n  let i;\n\n  rawHeaders && rawHeaders.split('\\n').forEach(function parser(line) {\n    i = line.indexOf(':');\n    key = line.substring(0, i).trim().toLowerCase();\n    val = line.substring(i + 1).trim();\n\n    if (!key || (parsed[key] && ignoreDuplicateOf[key])) {\n      return;\n    }\n\n    if (key === 'set-cookie') {\n      if (parsed[key]) {\n        parsed[key].push(val);\n      } else {\n        parsed[key] = [val];\n      }\n    } else {\n      parsed[key] = parsed[key] ? parsed[key] + ', ' + val : val;\n    }\n  });\n\n  return parsed;\n};\n","'use strict';\n\nimport utils from '../utils.js';\nimport parseHeaders from '../helpers/parseHeaders.js';\n\nconst $internals = Symbol('internals');\n\nfunction normalizeHeader(header) {\n  return header && String(header).trim().toLowerCase();\n}\n\nfunction normalizeValue(value) {\n  if (value === false || value == null) {\n    return value;\n  }\n\n  return utils.isArray(value) ? value.map(normalizeValue) : String(value);\n}\n\nfunction parseTokens(str) {\n  const tokens = Object.create(null);\n  const tokensRE = /([^\\s,;=]+)\\s*(?:=\\s*([^,;]+))?/g;\n  let match;\n\n  while ((match = tokensRE.exec(str))) {\n    tokens[match[1]] = match[2];\n  }\n\n  return tokens;\n}\n\nconst isValidHeaderName = (str) => /^[-_a-zA-Z0-9^`|~,!#$%&'*+.]+$/.test(str.trim());\n\nfunction matchHeaderValue(context, value, header, filter, isHeaderNameFilter) {\n  if (utils.isFunction(filter)) {\n    return filter.call(this, value, header);\n  }\n\n  if (isHeaderNameFilter) {\n    value = header;\n  }\n\n  if (!utils.isString(value)) return;\n\n  if (utils.isString(filter)) {\n    return value.indexOf(filter) !== -1;\n  }\n\n  if (utils.isRegExp(filter)) {\n    return filter.test(value);\n  }\n}\n\nfunction formatHeader(header) {\n  return header.trim()\n    .toLowerCase().replace(/([a-z\\d])(\\w*)/g, (w, char, str) => {\n      return char.toUpperCase() + str;\n    });\n}\n\nfunction buildAccessors(obj, header) {\n  const accessorName = utils.toCamelCase(' ' + header);\n\n  ['get', 'set', 'has'].forEach(methodName => {\n    Object.defineProperty(obj, methodName + accessorName, {\n      value: function(arg1, arg2, arg3) {\n        return this[methodName].call(this, header, arg1, arg2, arg3);\n      },\n      configurable: true\n    });\n  });\n}\n\nclass AxiosHeaders {\n  constructor(headers) {\n    headers && this.set(headers);\n  }\n\n  set(header, valueOrRewrite, rewrite) {\n    const self = this;\n\n    function setHeader(_value, _header, _rewrite) {\n      const lHeader = normalizeHeader(_header);\n\n      if (!lHeader) {\n        throw new Error('header name must be a non-empty string');\n      }\n\n      const key = utils.findKey(self, lHeader);\n\n      if(!key || self[key] === undefined || _rewrite === true || (_rewrite === undefined && self[key] !== false)) {\n        self[key || _header] = normalizeValue(_value);\n      }\n    }\n\n    const setHeaders = (headers, _rewrite) =>\n      utils.forEach(headers, (_value, _header) => setHeader(_value, _header, _rewrite));\n\n    if (utils.isPlainObject(header) || header instanceof this.constructor) {\n      setHeaders(header, valueOrRewrite)\n    } else if(utils.isString(header) && (header = header.trim()) && !isValidHeaderName(header)) {\n      setHeaders(parseHeaders(header), valueOrRewrite);\n    } else if (utils.isHeaders(header)) {\n      for (const [key, value] of header.entries()) {\n        setHeader(value, key, rewrite);\n      }\n    } else {\n      header != null && setHeader(valueOrRewrite, header, rewrite);\n    }\n\n    return this;\n  }\n\n  get(header, parser) {\n    header = normalizeHeader(header);\n\n    if (header) {\n      const key = utils.findKey(this, header);\n\n      if (key) {\n        const value = this[key];\n\n        if (!parser) {\n          return value;\n        }\n\n        if (parser === true) {\n          return parseTokens(value);\n        }\n\n        if (utils.isFunction(parser)) {\n          return parser.call(this, value, key);\n        }\n\n        if (utils.isRegExp(parser)) {\n          return parser.exec(value);\n        }\n\n        throw new TypeError('parser must be boolean|regexp|function');\n      }\n    }\n  }\n\n  has(header, matcher) {\n    header = normalizeHeader(header);\n\n    if (header) {\n      const key = utils.findKey(this, header);\n\n      return !!(key && this[key] !== undefined && (!matcher || matchHeaderValue(this, this[key], key, matcher)));\n    }\n\n    return false;\n  }\n\n  delete(header, matcher) {\n    const self = this;\n    let deleted = false;\n\n    function deleteHeader(_header) {\n      _header = normalizeHeader(_header);\n\n      if (_header) {\n        const key = utils.findKey(self, _header);\n\n        if (key && (!matcher || matchHeaderValue(self, self[key], key, matcher))) {\n          delete self[key];\n\n          deleted = true;\n        }\n      }\n    }\n\n    if (utils.isArray(header)) {\n      header.forEach(deleteHeader);\n    } else {\n      deleteHeader(header);\n    }\n\n    return deleted;\n  }\n\n  clear(matcher) {\n    const keys = Object.keys(this);\n    let i = keys.length;\n    let deleted = false;\n\n    while (i--) {\n      const key = keys[i];\n      if(!matcher || matchHeaderValue(this, this[key], key, matcher, true)) {\n        delete this[key];\n        deleted = true;\n      }\n    }\n\n    return deleted;\n  }\n\n  normalize(format) {\n    const self = this;\n    const headers = {};\n\n    utils.forEach(this, (value, header) => {\n      const key = utils.findKey(headers, header);\n\n      if (key) {\n        self[key] = normalizeValue(value);\n        delete self[header];\n        return;\n      }\n\n      const normalized = format ? formatHeader(header) : String(header).trim();\n\n      if (normalized !== header) {\n        delete self[header];\n      }\n\n      self[normalized] = normalizeValue(value);\n\n      headers[normalized] = true;\n    });\n\n    return this;\n  }\n\n  concat(...targets) {\n    return this.constructor.concat(this, ...targets);\n  }\n\n  toJSON(asStrings) {\n    const obj = Object.create(null);\n\n    utils.forEach(this, (value, header) => {\n      value != null && value !== false && (obj[header] = asStrings && utils.isArray(value) ? value.join(', ') : value);\n    });\n\n    return obj;\n  }\n\n  [Symbol.iterator]() {\n    return Object.entries(this.toJSON())[Symbol.iterator]();\n  }\n\n  toString() {\n    return Object.entries(this.toJSON()).map(([header, value]) => header + ': ' + value).join('\\n');\n  }\n\n  get [Symbol.toStringTag]() {\n    return 'AxiosHeaders';\n  }\n\n  static from(thing) {\n    return thing instanceof this ? thing : new this(thing);\n  }\n\n  static concat(first, ...targets) {\n    const computed = new this(first);\n\n    targets.forEach((target) => computed.set(target));\n\n    return computed;\n  }\n\n  static accessor(header) {\n    const internals = this[$internals] = (this[$internals] = {\n      accessors: {}\n    });\n\n    const accessors = internals.accessors;\n    const prototype = this.prototype;\n\n    function defineAccessor(_header) {\n      const lHeader = normalizeHeader(_header);\n\n      if (!accessors[lHeader]) {\n        buildAccessors(prototype, _header);\n        accessors[lHeader] = true;\n      }\n    }\n\n    utils.isArray(header) ? header.forEach(defineAccessor) : defineAccessor(header);\n\n    return this;\n  }\n}\n\nAxiosHeaders.accessor(['Content-Type', 'Content-Length', 'Accept', 'Accept-Encoding', 'User-Agent', 'Authorization']);\n\n// reserved names hotfix\nutils.reduceDescriptors(AxiosHeaders.prototype, ({value}, key) => {\n  let mapped = key[0].toUpperCase() + key.slice(1); // map `set` => `Set`\n  return {\n    get: () => value,\n    set(headerValue) {\n      this[mapped] = headerValue;\n    }\n  }\n});\n\nutils.freezeMethods(AxiosHeaders);\n\nexport default AxiosHeaders;\n","'use strict';\n\nimport utils from './../utils.js';\nimport defaults from '../defaults/index.js';\nimport AxiosHeaders from '../core/AxiosHeaders.js';\n\n/**\n * Transform the data for a request or a response\n *\n * @param {Array|Function} fns A single function or Array of functions\n * @param {?Object} response The response object\n *\n * @returns {*} The resulting transformed data\n */\nexport default function transformData(fns, response) {\n  const config = this || defaults;\n  const context = response || config;\n  const headers = AxiosHeaders.from(context.headers);\n  let data = context.data;\n\n  utils.forEach(fns, function transform(fn) {\n    data = fn.call(config, data, headers.normalize(), response ? response.status : undefined);\n  });\n\n  headers.normalize();\n\n  return data;\n}\n","'use strict';\n\nexport default function isCancel(value) {\n  return !!(value && value.__CANCEL__);\n}\n","'use strict';\n\nimport AxiosError from '../core/AxiosError.js';\nimport utils from '../utils.js';\n\n/**\n * A `CanceledError` is an object that is thrown when an operation is canceled.\n *\n * @param {string=} message The message.\n * @param {Object=} config The config.\n * @param {Object=} request The request.\n *\n * @returns {CanceledError} The created error.\n */\nfunction CanceledError(message, config, request) {\n  // eslint-disable-next-line no-eq-null,eqeqeq\n  AxiosError.call(this, message == null ? 'canceled' : message, AxiosError.ERR_CANCELED, config, request);\n  this.name = 'CanceledError';\n}\n\nutils.inherits(CanceledError, AxiosError, {\n  __CANCEL__: true\n});\n\nexport default CanceledError;\n","'use strict';\n\nimport AxiosError from './AxiosError.js';\n\n/**\n * Resolve or reject a Promise based on response status.\n *\n * @param {Function} resolve A function that resolves the promise.\n * @param {Function} reject A function that rejects the promise.\n * @param {object} response The response.\n *\n * @returns {object} The response.\n */\nexport default function settle(resolve, reject, response) {\n  const validateStatus = response.config.validateStatus;\n  if (!response.status || !validateStatus || validateStatus(response.status)) {\n    resolve(response);\n  } else {\n    reject(new AxiosError(\n      'Request failed with status code ' + response.status,\n      [AxiosError.ERR_BAD_REQUEST, AxiosError.ERR_BAD_RESPONSE][Math.floor(response.status / 100) - 4],\n      response.config,\n      response.request,\n      response\n    ));\n  }\n}\n","'use strict';\n\nexport default function parseProtocol(url) {\n  const match = /^([-+\\w]{1,25})(:?\\/\\/|:)/.exec(url);\n  return match && match[1] || '';\n}\n","'use strict';\n\n/**\n * Calculate data maxRate\n * @param {Number} [samplesCount= 10]\n * @param {Number} [min= 1000]\n * @returns {Function}\n */\nfunction speedometer(samplesCount, min) {\n  samplesCount = samplesCount || 10;\n  const bytes = new Array(samplesCount);\n  const timestamps = new Array(samplesCount);\n  let head = 0;\n  let tail = 0;\n  let firstSampleTS;\n\n  min = min !== undefined ? min : 1000;\n\n  return function push(chunkLength) {\n    const now = Date.now();\n\n    const startedAt = timestamps[tail];\n\n    if (!firstSampleTS) {\n      firstSampleTS = now;\n    }\n\n    bytes[head] = chunkLength;\n    timestamps[head] = now;\n\n    let i = tail;\n    let bytesCount = 0;\n\n    while (i !== head) {\n      bytesCount += bytes[i++];\n      i = i % samplesCount;\n    }\n\n    head = (head + 1) % samplesCount;\n\n    if (head === tail) {\n      tail = (tail + 1) % samplesCount;\n    }\n\n    if (now - firstSampleTS < min) {\n      return;\n    }\n\n    const passed = startedAt && now - startedAt;\n\n    return passed ? Math.round(bytesCount * 1000 / passed) : undefined;\n  };\n}\n\nexport default speedometer;\n","/**\n * Throttle decorator\n * @param {Function} fn\n * @param {Number} freq\n * @return {Function}\n */\nfunction throttle(fn, freq) {\n  let timestamp = 0;\n  let threshold = 1000 / freq;\n  let lastArgs;\n  let timer;\n\n  const invoke = (args, now = Date.now()) => {\n    timestamp = now;\n    lastArgs = null;\n    if (timer) {\n      clearTimeout(timer);\n      timer = null;\n    }\n    fn.apply(null, args);\n  }\n\n  const throttled = (...args) => {\n    const now = Date.now();\n    const passed = now - timestamp;\n    if ( passed >= threshold) {\n      invoke(args, now);\n    } else {\n      lastArgs = args;\n      if (!timer) {\n        timer = setTimeout(() => {\n          timer = null;\n          invoke(lastArgs)\n        }, threshold - passed);\n      }\n    }\n  }\n\n  const flush = () => lastArgs && invoke(lastArgs);\n\n  return [throttled, flush];\n}\n\nexport default throttle;\n","import speedometer from \"./speedometer.js\";\nimport throttle from \"./throttle.js\";\nimport utils from \"../utils.js\";\n\nexport const progressEventReducer = (listener, isDownloadStream, freq = 3) => {\n  let bytesNotified = 0;\n  const _speedometer = speedometer(50, 250);\n\n  return throttle(e => {\n    const loaded = e.loaded;\n    const total = e.lengthComputable ? e.total : undefined;\n    const progressBytes = loaded - bytesNotified;\n    const rate = _speedometer(progressBytes);\n    const inRange = loaded <= total;\n\n    bytesNotified = loaded;\n\n    const data = {\n      loaded,\n      total,\n      progress: total ? (loaded / total) : undefined,\n      bytes: progressBytes,\n      rate: rate ? rate : undefined,\n      estimated: rate && total && inRange ? (total - loaded) / rate : undefined,\n      event: e,\n      lengthComputable: total != null,\n      [isDownloadStream ? 'download' : 'upload']: true\n    };\n\n    listener(data);\n  }, freq);\n}\n\nexport const progressEventDecorator = (total, throttled) => {\n  const lengthComputable = total != null;\n\n  return [(loaded) => throttled[0]({\n    lengthComputable,\n    total,\n    loaded\n  }), throttled[1]];\n}\n\nexport const asyncDecorator = (fn) => (...args) => utils.asap(() => fn(...args));\n","'use strict';\n\nimport utils from './../utils.js';\nimport platform from '../platform/index.js';\n\nexport default platform.hasStandardBrowserEnv ?\n\n// Standard browser envs have full support of the APIs needed to test\n// whether the request URL is of the same origin as current location.\n  (function standardBrowserEnv() {\n    const msie = /(msie|trident)/i.test(navigator.userAgent);\n    const urlParsingNode = document.createElement('a');\n    let originURL;\n\n    /**\n    * Parse a URL to discover its components\n    *\n    * @param {String} url The URL to be parsed\n    * @returns {Object}\n    */\n    function resolveURL(url) {\n      let href = url;\n\n      if (msie) {\n        // IE needs attribute set twice to normalize properties\n        urlParsingNode.setAttribute('href', href);\n        href = urlParsingNode.href;\n      }\n\n      urlParsingNode.setAttribute('href', href);\n\n      // urlParsingNode provides the UrlUtils interface - http://url.spec.whatwg.org/#urlutils\n      return {\n        href: urlParsingNode.href,\n        protocol: urlParsingNode.protocol ? urlParsingNode.protocol.replace(/:$/, '') : '',\n        host: urlParsingNode.host,\n        search: urlParsingNode.search ? urlParsingNode.search.replace(/^\\?/, '') : '',\n        hash: urlParsingNode.hash ? urlParsingNode.hash.replace(/^#/, '') : '',\n        hostname: urlParsingNode.hostname,\n        port: urlParsingNode.port,\n        pathname: (urlParsingNode.pathname.charAt(0) === '/') ?\n          urlParsingNode.pathname :\n          '/' + urlParsingNode.pathname\n      };\n    }\n\n    originURL = resolveURL(window.location.href);\n\n    /**\n    * Determine if a URL shares the same origin as the current location\n    *\n    * @param {String} requestURL The URL to test\n    * @returns {boolean} True if URL shares the same origin, otherwise false\n    */\n    return function isURLSameOrigin(requestURL) {\n      const parsed = (utils.isString(requestURL)) ? resolveURL(requestURL) : requestURL;\n      return (parsed.protocol === originURL.protocol &&\n          parsed.host === originURL.host);\n    };\n  })() :\n\n  // Non standard browser envs (web workers, react-native) lack needed support.\n  (function nonStandardBrowserEnv() {\n    return function isURLSameOrigin() {\n      return true;\n    };\n  })();\n","import utils from './../utils.js';\nimport platform from '../platform/index.js';\n\nexport default platform.hasStandardBrowserEnv ?\n\n  // Standard browser envs support document.cookie\n  {\n    write(name, value, expires, path, domain, secure) {\n      const cookie = [name + '=' + encodeURIComponent(value)];\n\n      utils.isNumber(expires) && cookie.push('expires=' + new Date(expires).toGMTString());\n\n      utils.isString(path) && cookie.push('path=' + path);\n\n      utils.isString(domain) && cookie.push('domain=' + domain);\n\n      secure === true && cookie.push('secure');\n\n      document.cookie = cookie.join('; ');\n    },\n\n    read(name) {\n      const match = document.cookie.match(new RegExp('(^|;\\\\s*)(' + name + ')=([^;]*)'));\n      return (match ? decodeURIComponent(match[3]) : null);\n    },\n\n    remove(name) {\n      this.write(name, '', Date.now() - 86400000);\n    }\n  }\n\n  :\n\n  // Non-standard browser env (web workers, react-native) lack needed support.\n  {\n    write() {},\n    read() {\n      return null;\n    },\n    remove() {}\n  };\n\n","'use strict';\n\n/**\n * Determines whether the specified URL is absolute\n *\n * @param {string} url The URL to test\n *\n * @returns {boolean} True if the specified URL is absolute, otherwise false\n */\nexport default function isAbsoluteURL(url) {\n  // A URL is considered absolute if it begins with \"<scheme>://\" or \"//\" (protocol-relative URL).\n  // RFC 3986 defines scheme name as a sequence of characters beginning with a letter and followed\n  // by any combination of letters, digits, plus, period, or hyphen.\n  return /^([a-z][a-z\\d+\\-.]*:)?\\/\\//i.test(url);\n}\n","'use strict';\n\n/**\n * Creates a new URL by combining the specified URLs\n *\n * @param {string} baseURL The base URL\n * @param {string} relativeURL The relative URL\n *\n * @returns {string} The combined URL\n */\nexport default function combineURLs(baseURL, relativeURL) {\n  return relativeURL\n    ? baseURL.replace(/\\/?\\/$/, '') + '/' + relativeURL.replace(/^\\/+/, '')\n    : baseURL;\n}\n","'use strict';\n\nimport isAbsoluteURL from '../helpers/isAbsoluteURL.js';\nimport combineURLs from '../helpers/combineURLs.js';\n\n/**\n * Creates a new URL by combining the baseURL with the requestedURL,\n * only when the requestedURL is not already an absolute URL.\n * If the requestURL is absolute, this function returns the requestedURL untouched.\n *\n * @param {string} baseURL The base URL\n * @param {string} requestedURL Absolute or relative URL to combine\n *\n * @returns {string} The combined full path\n */\nexport default function buildFullPath(baseURL, requestedURL) {\n  if (baseURL && !isAbsoluteURL(requestedURL)) {\n    return combineURLs(baseURL, requestedURL);\n  }\n  return requestedURL;\n}\n","'use strict';\n\nimport utils from '../utils.js';\nimport AxiosHeaders from \"./AxiosHeaders.js\";\n\nconst headersToObject = (thing) => thing instanceof AxiosHeaders ? { ...thing } : thing;\n\n/**\n * Config-specific merge-function which creates a new config-object\n * by merging two configuration objects together.\n *\n * @param {Object} config1\n * @param {Object} config2\n *\n * @returns {Object} New object resulting from merging config2 to config1\n */\nexport default function mergeConfig(config1, config2) {\n  // eslint-disable-next-line no-param-reassign\n  config2 = config2 || {};\n  const config = {};\n\n  function getMergedValue(target, source, caseless) {\n    if (utils.isPlainObject(target) && utils.isPlainObject(source)) {\n      return utils.merge.call({caseless}, target, source);\n    } else if (utils.isPlainObject(source)) {\n      return utils.merge({}, source);\n    } else if (utils.isArray(source)) {\n      return source.slice();\n    }\n    return source;\n  }\n\n  // eslint-disable-next-line consistent-return\n  function mergeDeepProperties(a, b, caseless) {\n    if (!utils.isUndefined(b)) {\n      return getMergedValue(a, b, caseless);\n    } else if (!utils.isUndefined(a)) {\n      return getMergedValue(undefined, a, caseless);\n    }\n  }\n\n  // eslint-disable-next-line consistent-return\n  function valueFromConfig2(a, b) {\n    if (!utils.isUndefined(b)) {\n      return getMergedValue(undefined, b);\n    }\n  }\n\n  // eslint-disable-next-line consistent-return\n  function defaultToConfig2(a, b) {\n    if (!utils.isUndefined(b)) {\n      return getMergedValue(undefined, b);\n    } else if (!utils.isUndefined(a)) {\n      return getMergedValue(undefined, a);\n    }\n  }\n\n  // eslint-disable-next-line consistent-return\n  function mergeDirectKeys(a, b, prop) {\n    if (prop in config2) {\n      return getMergedValue(a, b);\n    } else if (prop in config1) {\n      return getMergedValue(undefined, a);\n    }\n  }\n\n  const mergeMap = {\n    url: valueFromConfig2,\n    method: valueFromConfig2,\n    data: valueFromConfig2,\n    baseURL: defaultToConfig2,\n    transformRequest: defaultToConfig2,\n    transformResponse: defaultToConfig2,\n    paramsSerializer: defaultToConfig2,\n    timeout: defaultToConfig2,\n    timeoutMessage: defaultToConfig2,\n    withCredentials: defaultToConfig2,\n    withXSRFToken: defaultToConfig2,\n    adapter: defaultToConfig2,\n    responseType: defaultToConfig2,\n    xsrfCookieName: defaultToConfig2,\n    xsrfHeaderName: defaultToConfig2,\n    onUploadProgress: defaultToConfig2,\n    onDownloadProgress: defaultToConfig2,\n    decompress: defaultToConfig2,\n    maxContentLength: defaultToConfig2,\n    maxBodyLength: defaultToConfig2,\n    beforeRedirect: defaultToConfig2,\n    transport: defaultToConfig2,\n    httpAgent: defaultToConfig2,\n    httpsAgent: defaultToConfig2,\n    cancelToken: defaultToConfig2,\n    socketPath: defaultToConfig2,\n    responseEncoding: defaultToConfig2,\n    validateStatus: mergeDirectKeys,\n    headers: (a, b) => mergeDeepProperties(headersToObject(a), headersToObject(b), true)\n  };\n\n  utils.forEach(Object.keys(Object.assign({}, config1, config2)), function computeConfigValue(prop) {\n    const merge = mergeMap[prop] || mergeDeepProperties;\n    const configValue = merge(config1[prop], config2[prop], prop);\n    (utils.isUndefined(configValue) && merge !== mergeDirectKeys) || (config[prop] = configValue);\n  });\n\n  return config;\n}\n","import platform from \"../platform/index.js\";\nimport utils from \"../utils.js\";\nimport isURLSameOrigin from \"./isURLSameOrigin.js\";\nimport cookies from \"./cookies.js\";\nimport buildFullPath from \"../core/buildFullPath.js\";\nimport mergeConfig from \"../core/mergeConfig.js\";\nimport AxiosHeaders from \"../core/AxiosHeaders.js\";\nimport buildURL from \"./buildURL.js\";\n\nexport default (config) => {\n  const newConfig = mergeConfig({}, config);\n\n  let {data, withXSRFToken, xsrfHeaderName, xsrfCookieName, headers, auth} = newConfig;\n\n  newConfig.headers = headers = AxiosHeaders.from(headers);\n\n  newConfig.url = buildURL(buildFullPath(newConfig.baseURL, newConfig.url), config.params, config.paramsSerializer);\n\n  // HTTP basic authentication\n  if (auth) {\n    headers.set('Authorization', 'Basic ' +\n      btoa((auth.username || '') + ':' + (auth.password ? unescape(encodeURIComponent(auth.password)) : ''))\n    );\n  }\n\n  let contentType;\n\n  if (utils.isFormData(data)) {\n    if (platform.hasStandardBrowserEnv || platform.hasStandardBrowserWebWorkerEnv) {\n      headers.setContentType(undefined); // Let the browser set it\n    } else if ((contentType = headers.getContentType()) !== false) {\n      // fix semicolon duplication issue for ReactNative FormData implementation\n      const [type, ...tokens] = contentType ? contentType.split(';').map(token => token.trim()).filter(Boolean) : [];\n      headers.setContentType([type || 'multipart/form-data', ...tokens].join('; '));\n    }\n  }\n\n  // Add xsrf header\n  // This is only done if running in a standard browser environment.\n  // Specifically not if we're in a web worker, or react-native.\n\n  if (platform.hasStandardBrowserEnv) {\n    withXSRFToken && utils.isFunction(withXSRFToken) && (withXSRFToken = withXSRFToken(newConfig));\n\n    if (withXSRFToken || (withXSRFToken !== false && isURLSameOrigin(newConfig.url))) {\n      // Add xsrf header\n      const xsrfValue = xsrfHeaderName && xsrfCookieName && cookies.read(xsrfCookieName);\n\n      if (xsrfValue) {\n        headers.set(xsrfHeaderName, xsrfValue);\n      }\n    }\n  }\n\n  return newConfig;\n}\n\n","import utils from './../utils.js';\nimport settle from './../core/settle.js';\nimport transitionalDefaults from '../defaults/transitional.js';\nimport AxiosError from '../core/AxiosError.js';\nimport CanceledError from '../cancel/CanceledError.js';\nimport parseProtocol from '../helpers/parseProtocol.js';\nimport platform from '../platform/index.js';\nimport AxiosHeaders from '../core/AxiosHeaders.js';\nimport {progressEventReducer} from '../helpers/progressEventReducer.js';\nimport resolveConfig from \"../helpers/resolveConfig.js\";\n\nconst isXHRAdapterSupported = typeof XMLHttpRequest !== 'undefined';\n\nexport default isXHRAdapterSupported && function (config) {\n  return new Promise(function dispatchXhrRequest(resolve, reject) {\n    const _config = resolveConfig(config);\n    let requestData = _config.data;\n    const requestHeaders = AxiosHeaders.from(_config.headers).normalize();\n    let {responseType, onUploadProgress, onDownloadProgress} = _config;\n    let onCanceled;\n    let uploadThrottled, downloadThrottled;\n    let flushUpload, flushDownload;\n\n    function done() {\n      flushUpload && flushUpload(); // flush events\n      flushDownload && flushDownload(); // flush events\n\n      _config.cancelToken && _config.cancelToken.unsubscribe(onCanceled);\n\n      _config.signal && _config.signal.removeEventListener('abort', onCanceled);\n    }\n\n    let request = new XMLHttpRequest();\n\n    request.open(_config.method.toUpperCase(), _config.url, true);\n\n    // Set the request timeout in MS\n    request.timeout = _config.timeout;\n\n    function onloadend() {\n      if (!request) {\n        return;\n      }\n      // Prepare the response\n      const responseHeaders = AxiosHeaders.from(\n        'getAllResponseHeaders' in request && request.getAllResponseHeaders()\n      );\n      const responseData = !responseType || responseType === 'text' || responseType === 'json' ?\n        request.responseText : request.response;\n      const response = {\n        data: responseData,\n        status: request.status,\n        statusText: request.statusText,\n        headers: responseHeaders,\n        config,\n        request\n      };\n\n      settle(function _resolve(value) {\n        resolve(value);\n        done();\n      }, function _reject(err) {\n        reject(err);\n        done();\n      }, response);\n\n      // Clean up request\n      request = null;\n    }\n\n    if ('onloadend' in request) {\n      // Use onloadend if available\n      request.onloadend = onloadend;\n    } else {\n      // Listen for ready state to emulate onloadend\n      request.onreadystatechange = function handleLoad() {\n        if (!request || request.readyState !== 4) {\n          return;\n        }\n\n        // The request errored out and we didn't get a response, this will be\n        // handled by onerror instead\n        // With one exception: request that using file: protocol, most browsers\n        // will return status as 0 even though it's a successful request\n        if (request.status === 0 && !(request.responseURL && request.responseURL.indexOf('file:') === 0)) {\n          return;\n        }\n        // readystate handler is calling before onerror or ontimeout handlers,\n        // so we should call onloadend on the next 'tick'\n        setTimeout(onloadend);\n      };\n    }\n\n    // Handle browser request cancellation (as opposed to a manual cancellation)\n    request.onabort = function handleAbort() {\n      if (!request) {\n        return;\n      }\n\n      reject(new AxiosError('Request aborted', AxiosError.ECONNABORTED, config, request));\n\n      // Clean up request\n      request = null;\n    };\n\n    // Handle low level network errors\n    request.onerror = function handleError() {\n      // Real errors are hidden from us by the browser\n      // onerror should only fire if it's a network error\n      reject(new AxiosError('Network Error', AxiosError.ERR_NETWORK, config, request));\n\n      // Clean up request\n      request = null;\n    };\n\n    // Handle timeout\n    request.ontimeout = function handleTimeout() {\n      let timeoutErrorMessage = _config.timeout ? 'timeout of ' + _config.timeout + 'ms exceeded' : 'timeout exceeded';\n      const transitional = _config.transitional || transitionalDefaults;\n      if (_config.timeoutErrorMessage) {\n        timeoutErrorMessage = _config.timeoutErrorMessage;\n      }\n      reject(new AxiosError(\n        timeoutErrorMessage,\n        transitional.clarifyTimeoutError ? AxiosError.ETIMEDOUT : AxiosError.ECONNABORTED,\n        config,\n        request));\n\n      // Clean up request\n      request = null;\n    };\n\n    // Remove Content-Type if data is undefined\n    requestData === undefined && requestHeaders.setContentType(null);\n\n    // Add headers to the request\n    if ('setRequestHeader' in request) {\n      utils.forEach(requestHeaders.toJSON(), function setRequestHeader(val, key) {\n        request.setRequestHeader(key, val);\n      });\n    }\n\n    // Add withCredentials to request if needed\n    if (!utils.isUndefined(_config.withCredentials)) {\n      request.withCredentials = !!_config.withCredentials;\n    }\n\n    // Add responseType to request if needed\n    if (responseType && responseType !== 'json') {\n      request.responseType = _config.responseType;\n    }\n\n    // Handle progress if needed\n    if (onDownloadProgress) {\n      ([downloadThrottled, flushDownload] = progressEventReducer(onDownloadProgress, true));\n      request.addEventListener('progress', downloadThrottled);\n    }\n\n    // Not all browsers support upload events\n    if (onUploadProgress && request.upload) {\n      ([uploadThrottled, flushUpload] = progressEventReducer(onUploadProgress));\n\n      request.upload.addEventListener('progress', uploadThrottled);\n\n      request.upload.addEventListener('loadend', flushUpload);\n    }\n\n    if (_config.cancelToken || _config.signal) {\n      // Handle cancellation\n      // eslint-disable-next-line func-names\n      onCanceled = cancel => {\n        if (!request) {\n          return;\n        }\n        reject(!cancel || cancel.type ? new CanceledError(null, config, request) : cancel);\n        request.abort();\n        request = null;\n      };\n\n      _config.cancelToken && _config.cancelToken.subscribe(onCanceled);\n      if (_config.signal) {\n        _config.signal.aborted ? onCanceled() : _config.signal.addEventListener('abort', onCanceled);\n      }\n    }\n\n    const protocol = parseProtocol(_config.url);\n\n    if (protocol && platform.protocols.indexOf(protocol) === -1) {\n      reject(new AxiosError('Unsupported protocol ' + protocol + ':', AxiosError.ERR_BAD_REQUEST, config));\n      return;\n    }\n\n\n    // Send the request\n    request.send(requestData || null);\n  });\n}\n","import CanceledError from \"../cancel/CanceledError.js\";\nimport AxiosError from \"../core/AxiosError.js\";\n\nconst composeSignals = (signals, timeout) => {\n  let controller = new AbortController();\n\n  let aborted;\n\n  const onabort = function (cancel) {\n    if (!aborted) {\n      aborted = true;\n      unsubscribe();\n      const err = cancel instanceof Error ? cancel : this.reason;\n      controller.abort(err instanceof AxiosError ? err : new CanceledError(err instanceof Error ? err.message : err));\n    }\n  }\n\n  let timer = timeout && setTimeout(() => {\n    onabort(new AxiosError(`timeout ${timeout} of ms exceeded`, AxiosError.ETIMEDOUT))\n  }, timeout)\n\n  const unsubscribe = () => {\n    if (signals) {\n      timer && clearTimeout(timer);\n      timer = null;\n      signals.forEach(signal => {\n        signal &&\n        (signal.removeEventListener ? signal.removeEventListener('abort', onabort) : signal.unsubscribe(onabort));\n      });\n      signals = null;\n    }\n  }\n\n  signals.forEach((signal) => signal && signal.addEventListener && signal.addEventListener('abort', onabort));\n\n  const {signal} = controller;\n\n  signal.unsubscribe = unsubscribe;\n\n  return [signal, () => {\n    timer && clearTimeout(timer);\n    timer = null;\n  }];\n}\n\nexport default composeSignals;\n","\nexport const streamChunk = function* (chunk, chunkSize) {\n  let len = chunk.byteLength;\n\n  if (!chunkSize || len < chunkSize) {\n    yield chunk;\n    return;\n  }\n\n  let pos = 0;\n  let end;\n\n  while (pos < len) {\n    end = pos + chunkSize;\n    yield chunk.slice(pos, end);\n    pos = end;\n  }\n}\n\nexport const readBytes = async function* (iterable, chunkSize, encode) {\n  for await (const chunk of iterable) {\n    yield* streamChunk(ArrayBuffer.isView(chunk) ? chunk : (await encode(String(chunk))), chunkSize);\n  }\n}\n\nexport const trackStream = (stream, chunkSize, onProgress, onFinish, encode) => {\n  const iterator = readBytes(stream, chunkSize, encode);\n\n  let bytes = 0;\n  let done;\n  let _onFinish = (e) => {\n    if (!done) {\n      done = true;\n      onFinish && onFinish(e);\n    }\n  }\n\n  return new ReadableStream({\n    async pull(controller) {\n      try {\n        const {done, value} = await iterator.next();\n\n        if (done) {\n         _onFinish();\n          controller.close();\n          return;\n        }\n\n        let len = value.byteLength;\n        if (onProgress) {\n          let loadedBytes = bytes += len;\n          onProgress(loadedBytes);\n        }\n        controller.enqueue(new Uint8Array(value));\n      } catch (err) {\n        _onFinish(err);\n        throw err;\n      }\n    },\n    cancel(reason) {\n      _onFinish(reason);\n      return iterator.return();\n    }\n  }, {\n    highWaterMark: 2\n  })\n}\n","import platform from \"../platform/index.js\";\nimport utils from \"../utils.js\";\nimport AxiosError from \"../core/AxiosError.js\";\nimport composeSignals from \"../helpers/composeSignals.js\";\nimport {trackStream} from \"../helpers/trackStream.js\";\nimport AxiosHeaders from \"../core/AxiosHeaders.js\";\nimport {progressEventReducer, progressEventDecorator, asyncDecorator} from \"../helpers/progressEventReducer.js\";\nimport resolveConfig from \"../helpers/resolveConfig.js\";\nimport settle from \"../core/settle.js\";\n\nconst isFetchSupported = typeof fetch === 'function' && typeof Request === 'function' && typeof Response === 'function';\nconst isReadableStreamSupported = isFetchSupported && typeof ReadableStream === 'function';\n\n// used only inside the fetch adapter\nconst encodeText = isFetchSupported && (typeof TextEncoder === 'function' ?\n    ((encoder) => (str) => encoder.encode(str))(new TextEncoder()) :\n    async (str) => new Uint8Array(await new Response(str).arrayBuffer())\n);\n\nconst test = (fn, ...args) => {\n  try {\n    return !!fn(...args);\n  } catch (e) {\n    return false\n  }\n}\n\nconst supportsRequestStream = isReadableStreamSupported && test(() => {\n  let duplexAccessed = false;\n\n  const hasContentType = new Request(platform.origin, {\n    body: new ReadableStream(),\n    method: 'POST',\n    get duplex() {\n      duplexAccessed = true;\n      return 'half';\n    },\n  }).headers.has('Content-Type');\n\n  return duplexAccessed && !hasContentType;\n});\n\nconst DEFAULT_CHUNK_SIZE = 64 * 1024;\n\nconst supportsResponseStream = isReadableStreamSupported &&\n  test(() => utils.isReadableStream(new Response('').body));\n\n\nconst resolvers = {\n  stream: supportsResponseStream && ((res) => res.body)\n};\n\nisFetchSupported && (((res) => {\n  ['text', 'arrayBuffer', 'blob', 'formData', 'stream'].forEach(type => {\n    !resolvers[type] && (resolvers[type] = utils.isFunction(res[type]) ? (res) => res[type]() :\n      (_, config) => {\n        throw new AxiosError(`Response type '${type}' is not supported`, AxiosError.ERR_NOT_SUPPORT, config);\n      })\n  });\n})(new Response));\n\nconst getBodyLength = async (body) => {\n  if (body == null) {\n    return 0;\n  }\n\n  if(utils.isBlob(body)) {\n    return body.size;\n  }\n\n  if(utils.isSpecCompliantForm(body)) {\n    return (await new Request(body).arrayBuffer()).byteLength;\n  }\n\n  if(utils.isArrayBufferView(body) || utils.isArrayBuffer(body)) {\n    return body.byteLength;\n  }\n\n  if(utils.isURLSearchParams(body)) {\n    body = body + '';\n  }\n\n  if(utils.isString(body)) {\n    return (await encodeText(body)).byteLength;\n  }\n}\n\nconst resolveBodyLength = async (headers, body) => {\n  const length = utils.toFiniteNumber(headers.getContentLength());\n\n  return length == null ? getBodyLength(body) : length;\n}\n\nexport default isFetchSupported && (async (config) => {\n  let {\n    url,\n    method,\n    data,\n    signal,\n    cancelToken,\n    timeout,\n    onDownloadProgress,\n    onUploadProgress,\n    responseType,\n    headers,\n    withCredentials = 'same-origin',\n    fetchOptions\n  } = resolveConfig(config);\n\n  responseType = responseType ? (responseType + '').toLowerCase() : 'text';\n\n  let [composedSignal, stopTimeout] = (signal || cancelToken || timeout) ?\n    composeSignals([signal, cancelToken], timeout) : [];\n\n  let finished, request;\n\n  const onFinish = () => {\n    !finished && setTimeout(() => {\n      composedSignal && composedSignal.unsubscribe();\n    });\n\n    finished = true;\n  }\n\n  let requestContentLength;\n\n  try {\n    if (\n      onUploadProgress && supportsRequestStream && method !== 'get' && method !== 'head' &&\n      (requestContentLength = await resolveBodyLength(headers, data)) !== 0\n    ) {\n      let _request = new Request(url, {\n        method: 'POST',\n        body: data,\n        duplex: \"half\"\n      });\n\n      let contentTypeHeader;\n\n      if (utils.isFormData(data) && (contentTypeHeader = _request.headers.get('content-type'))) {\n        headers.setContentType(contentTypeHeader)\n      }\n\n      if (_request.body) {\n        const [onProgress, flush] = progressEventDecorator(\n          requestContentLength,\n          progressEventReducer(asyncDecorator(onUploadProgress))\n        );\n\n        data = trackStream(_request.body, DEFAULT_CHUNK_SIZE, onProgress, flush, encodeText);\n      }\n    }\n\n    if (!utils.isString(withCredentials)) {\n      withCredentials = withCredentials ? 'include' : 'omit';\n    }\n\n    request = new Request(url, {\n      ...fetchOptions,\n      signal: composedSignal,\n      method: method.toUpperCase(),\n      headers: headers.normalize().toJSON(),\n      body: data,\n      duplex: \"half\",\n      credentials: withCredentials\n    });\n\n    let response = await fetch(request);\n\n    const isStreamResponse = supportsResponseStream && (responseType === 'stream' || responseType === 'response');\n\n    if (supportsResponseStream && (onDownloadProgress || isStreamResponse)) {\n      const options = {};\n\n      ['status', 'statusText', 'headers'].forEach(prop => {\n        options[prop] = response[prop];\n      });\n\n      const responseContentLength = utils.toFiniteNumber(response.headers.get('content-length'));\n\n      const [onProgress, flush] = onDownloadProgress && progressEventDecorator(\n        responseContentLength,\n        progressEventReducer(asyncDecorator(onDownloadProgress), true)\n      ) || [];\n\n      response = new Response(\n        trackStream(response.body, DEFAULT_CHUNK_SIZE, onProgress, () => {\n          flush && flush();\n          isStreamResponse && onFinish();\n        }, encodeText),\n        options\n      );\n    }\n\n    responseType = responseType || 'text';\n\n    let responseData = await resolvers[utils.findKey(resolvers, responseType) || 'text'](response, config);\n\n    !isStreamResponse && onFinish();\n\n    stopTimeout && stopTimeout();\n\n    return await new Promise((resolve, reject) => {\n      settle(resolve, reject, {\n        data: responseData,\n        headers: AxiosHeaders.from(response.headers),\n        status: response.status,\n        statusText: response.statusText,\n        config,\n        request\n      })\n    })\n  } catch (err) {\n    onFinish();\n\n    if (err && err.name === 'TypeError' && /fetch/i.test(err.message)) {\n      throw Object.assign(\n        new AxiosError('Network Error', AxiosError.ERR_NETWORK, config, request),\n        {\n          cause: err.cause || err\n        }\n      )\n    }\n\n    throw AxiosError.from(err, err && err.code, config, request);\n  }\n});\n\n\n","import utils from '../utils.js';\nimport httpAdapter from './http.js';\nimport xhrAdapter from './xhr.js';\nimport fetchAdapter from './fetch.js';\nimport AxiosError from \"../core/AxiosError.js\";\n\nconst knownAdapters = {\n  http: httpAdapter,\n  xhr: xhrAdapter,\n  fetch: fetchAdapter\n}\n\nutils.forEach(knownAdapters, (fn, value) => {\n  if (fn) {\n    try {\n      Object.defineProperty(fn, 'name', {value});\n    } catch (e) {\n      // eslint-disable-next-line no-empty\n    }\n    Object.defineProperty(fn, 'adapterName', {value});\n  }\n});\n\nconst renderReason = (reason) => `- ${reason}`;\n\nconst isResolvedHandle = (adapter) => utils.isFunction(adapter) || adapter === null || adapter === false;\n\nexport default {\n  getAdapter: (adapters) => {\n    adapters = utils.isArray(adapters) ? adapters : [adapters];\n\n    const {length} = adapters;\n    let nameOrAdapter;\n    let adapter;\n\n    const rejectedReasons = {};\n\n    for (let i = 0; i < length; i++) {\n      nameOrAdapter = adapters[i];\n      let id;\n\n      adapter = nameOrAdapter;\n\n      if (!isResolvedHandle(nameOrAdapter)) {\n        adapter = knownAdapters[(id = String(nameOrAdapter)).toLowerCase()];\n\n        if (adapter === undefined) {\n          throw new AxiosError(`Unknown adapter '${id}'`);\n        }\n      }\n\n      if (adapter) {\n        break;\n      }\n\n      rejectedReasons[id || '#' + i] = adapter;\n    }\n\n    if (!adapter) {\n\n      const reasons = Object.entries(rejectedReasons)\n        .map(([id, state]) => `adapter ${id} ` +\n          (state === false ? 'is not supported by the environment' : 'is not available in the build')\n        );\n\n      let s = length ?\n        (reasons.length > 1 ? 'since :\\n' + reasons.map(renderReason).join('\\n') : ' ' + renderReason(reasons[0])) :\n        'as no adapter specified';\n\n      throw new AxiosError(\n        `There is no suitable adapter to dispatch the request ` + s,\n        'ERR_NOT_SUPPORT'\n      );\n    }\n\n    return adapter;\n  },\n  adapters: knownAdapters\n}\n","'use strict';\n\nimport transformData from './transformData.js';\nimport isCancel from '../cancel/isCancel.js';\nimport defaults from '../defaults/index.js';\nimport CanceledError from '../cancel/CanceledError.js';\nimport AxiosHeaders from '../core/AxiosHeaders.js';\nimport adapters from \"../adapters/adapters.js\";\n\n/**\n * Throws a `CanceledError` if cancellation has been requested.\n *\n * @param {Object} config The config that is to be used for the request\n *\n * @returns {void}\n */\nfunction throwIfCancellationRequested(config) {\n  if (config.cancelToken) {\n    config.cancelToken.throwIfRequested();\n  }\n\n  if (config.signal && config.signal.aborted) {\n    throw new CanceledError(null, config);\n  }\n}\n\n/**\n * Dispatch a request to the server using the configured adapter.\n *\n * @param {object} config The config that is to be used for the request\n *\n * @returns {Promise} The Promise to be fulfilled\n */\nexport default function dispatchRequest(config) {\n  throwIfCancellationRequested(config);\n\n  config.headers = AxiosHeaders.from(config.headers);\n\n  // Transform request data\n  config.data = transformData.call(\n    config,\n    config.transformRequest\n  );\n\n  if (['post', 'put', 'patch'].indexOf(config.method) !== -1) {\n    config.headers.setContentType('application/x-www-form-urlencoded', false);\n  }\n\n  const adapter = adapters.getAdapter(config.adapter || defaults.adapter);\n\n  return adapter(config).then(function onAdapterResolution(response) {\n    throwIfCancellationRequested(config);\n\n    // Transform response data\n    response.data = transformData.call(\n      config,\n      config.transformResponse,\n      response\n    );\n\n    response.headers = AxiosHeaders.from(response.headers);\n\n    return response;\n  }, function onAdapterRejection(reason) {\n    if (!isCancel(reason)) {\n      throwIfCancellationRequested(config);\n\n      // Transform response data\n      if (reason && reason.response) {\n        reason.response.data = transformData.call(\n          config,\n          config.transformResponse,\n          reason.response\n        );\n        reason.response.headers = AxiosHeaders.from(reason.response.headers);\n      }\n    }\n\n    return Promise.reject(reason);\n  });\n}\n","export const VERSION = \"1.7.4\";","'use strict';\n\nimport {VERSION} from '../env/data.js';\nimport AxiosError from '../core/AxiosError.js';\n\nconst validators = {};\n\n// eslint-disable-next-line func-names\n['object', 'boolean', 'number', 'function', 'string', 'symbol'].forEach((type, i) => {\n  validators[type] = function validator(thing) {\n    return typeof thing === type || 'a' + (i < 1 ? 'n ' : ' ') + type;\n  };\n});\n\nconst deprecatedWarnings = {};\n\n/**\n * Transitional option validator\n *\n * @param {function|boolean?} validator - set to false if the transitional option has been removed\n * @param {string?} version - deprecated version / removed since version\n * @param {string?} message - some message with additional info\n *\n * @returns {function}\n */\nvalidators.transitional = function transitional(validator, version, message) {\n  function formatMessage(opt, desc) {\n    return '[Axios v' + VERSION + '] Transitional option \\'' + opt + '\\'' + desc + (message ? '. ' + message : '');\n  }\n\n  // eslint-disable-next-line func-names\n  return (value, opt, opts) => {\n    if (validator === false) {\n      throw new AxiosError(\n        formatMessage(opt, ' has been removed' + (version ? ' in ' + version : '')),\n        AxiosError.ERR_DEPRECATED\n      );\n    }\n\n    if (version && !deprecatedWarnings[opt]) {\n      deprecatedWarnings[opt] = true;\n      // eslint-disable-next-line no-console\n      console.warn(\n        formatMessage(\n          opt,\n          ' has been deprecated since v' + version + ' and will be removed in the near future'\n        )\n      );\n    }\n\n    return validator ? validator(value, opt, opts) : true;\n  };\n};\n\n/**\n * Assert object's properties type\n *\n * @param {object} options\n * @param {object} schema\n * @param {boolean?} allowUnknown\n *\n * @returns {object}\n */\n\nfunction assertOptions(options, schema, allowUnknown) {\n  if (typeof options !== 'object') {\n    throw new AxiosError('options must be an object', AxiosError.ERR_BAD_OPTION_VALUE);\n  }\n  const keys = Object.keys(options);\n  let i = keys.length;\n  while (i-- > 0) {\n    const opt = keys[i];\n    const validator = schema[opt];\n    if (validator) {\n      const value = options[opt];\n      const result = value === undefined || validator(value, opt, options);\n      if (result !== true) {\n        throw new AxiosError('option ' + opt + ' must be ' + result, AxiosError.ERR_BAD_OPTION_VALUE);\n      }\n      continue;\n    }\n    if (allowUnknown !== true) {\n      throw new AxiosError('Unknown option ' + opt, AxiosError.ERR_BAD_OPTION);\n    }\n  }\n}\n\nexport default {\n  assertOptions,\n  validators\n};\n","'use strict';\n\nimport utils from './../utils.js';\nimport buildURL from '../helpers/buildURL.js';\nimport InterceptorManager from './InterceptorManager.js';\nimport dispatchRequest from './dispatchRequest.js';\nimport mergeConfig from './mergeConfig.js';\nimport buildFullPath from './buildFullPath.js';\nimport validator from '../helpers/validator.js';\nimport AxiosHeaders from './AxiosHeaders.js';\n\nconst validators = validator.validators;\n\n/**\n * Create a new instance of Axios\n *\n * @param {Object} instanceConfig The default config for the instance\n *\n * @return {Axios} A new instance of Axios\n */\nclass Axios {\n  constructor(instanceConfig) {\n    this.defaults = instanceConfig;\n    this.interceptors = {\n      request: new InterceptorManager(),\n      response: new InterceptorManager()\n    };\n  }\n\n  /**\n   * Dispatch a request\n   *\n   * @param {String|Object} configOrUrl The config specific for this request (merged with this.defaults)\n   * @param {?Object} config\n   *\n   * @returns {Promise} The Promise to be fulfilled\n   */\n  async request(configOrUrl, config) {\n    try {\n      return await this._request(configOrUrl, config);\n    } catch (err) {\n      if (err instanceof Error) {\n        let dummy;\n\n        Error.captureStackTrace ? Error.captureStackTrace(dummy = {}) : (dummy = new Error());\n\n        // slice off the Error: ... line\n        const stack = dummy.stack ? dummy.stack.replace(/^.+\\n/, '') : '';\n        try {\n          if (!err.stack) {\n            err.stack = stack;\n            // match without the 2 top stack lines\n          } else if (stack && !String(err.stack).endsWith(stack.replace(/^.+\\n.+\\n/, ''))) {\n            err.stack += '\\n' + stack\n          }\n        } catch (e) {\n          // ignore the case where \"stack\" is an un-writable property\n        }\n      }\n\n      throw err;\n    }\n  }\n\n  _request(configOrUrl, config) {\n    /*eslint no-param-reassign:0*/\n    // Allow for axios('example/url'[, config]) a la fetch API\n    if (typeof configOrUrl === 'string') {\n      config = config || {};\n      config.url = configOrUrl;\n    } else {\n      config = configOrUrl || {};\n    }\n\n    config = mergeConfig(this.defaults, config);\n\n    const {transitional, paramsSerializer, headers} = config;\n\n    if (transitional !== undefined) {\n      validator.assertOptions(transitional, {\n        silentJSONParsing: validators.transitional(validators.boolean),\n        forcedJSONParsing: validators.transitional(validators.boolean),\n        clarifyTimeoutError: validators.transitional(validators.boolean)\n      }, false);\n    }\n\n    if (paramsSerializer != null) {\n      if (utils.isFunction(paramsSerializer)) {\n        config.paramsSerializer = {\n          serialize: paramsSerializer\n        }\n      } else {\n        validator.assertOptions(paramsSerializer, {\n          encode: validators.function,\n          serialize: validators.function\n        }, true);\n      }\n    }\n\n    // Set config.method\n    config.method = (config.method || this.defaults.method || 'get').toLowerCase();\n\n    // Flatten headers\n    let contextHeaders = headers && utils.merge(\n      headers.common,\n      headers[config.method]\n    );\n\n    headers && utils.forEach(\n      ['delete', 'get', 'head', 'post', 'put', 'patch', 'common'],\n      (method) => {\n        delete headers[method];\n      }\n    );\n\n    config.headers = AxiosHeaders.concat(contextHeaders, headers);\n\n    // filter out skipped interceptors\n    const requestInterceptorChain = [];\n    let synchronousRequestInterceptors = true;\n    this.interceptors.request.forEach(function unshiftRequestInterceptors(interceptor) {\n      if (typeof interceptor.runWhen === 'function' && interceptor.runWhen(config) === false) {\n        return;\n      }\n\n      synchronousRequestInterceptors = synchronousRequestInterceptors && interceptor.synchronous;\n\n      requestInterceptorChain.unshift(interceptor.fulfilled, interceptor.rejected);\n    });\n\n    const responseInterceptorChain = [];\n    this.interceptors.response.forEach(function pushResponseInterceptors(interceptor) {\n      responseInterceptorChain.push(interceptor.fulfilled, interceptor.rejected);\n    });\n\n    let promise;\n    let i = 0;\n    let len;\n\n    if (!synchronousRequestInterceptors) {\n      const chain = [dispatchRequest.bind(this), undefined];\n      chain.unshift.apply(chain, requestInterceptorChain);\n      chain.push.apply(chain, responseInterceptorChain);\n      len = chain.length;\n\n      promise = Promise.resolve(config);\n\n      while (i < len) {\n        promise = promise.then(chain[i++], chain[i++]);\n      }\n\n      return promise;\n    }\n\n    len = requestInterceptorChain.length;\n\n    let newConfig = config;\n\n    i = 0;\n\n    while (i < len) {\n      const onFulfilled = requestInterceptorChain[i++];\n      const onRejected = requestInterceptorChain[i++];\n      try {\n        newConfig = onFulfilled(newConfig);\n      } catch (error) {\n        onRejected.call(this, error);\n        break;\n      }\n    }\n\n    try {\n      promise = dispatchRequest.call(this, newConfig);\n    } catch (error) {\n      return Promise.reject(error);\n    }\n\n    i = 0;\n    len = responseInterceptorChain.length;\n\n    while (i < len) {\n      promise = promise.then(responseInterceptorChain[i++], responseInterceptorChain[i++]);\n    }\n\n    return promise;\n  }\n\n  getUri(config) {\n    config = mergeConfig(this.defaults, config);\n    const fullPath = buildFullPath(config.baseURL, config.url);\n    return buildURL(fullPath, config.params, config.paramsSerializer);\n  }\n}\n\n// Provide aliases for supported request methods\nutils.forEach(['delete', 'get', 'head', 'options'], function forEachMethodNoData(method) {\n  /*eslint func-names:0*/\n  Axios.prototype[method] = function(url, config) {\n    return this.request(mergeConfig(config || {}, {\n      method,\n      url,\n      data: (config || {}).data\n    }));\n  };\n});\n\nutils.forEach(['post', 'put', 'patch'], function forEachMethodWithData(method) {\n  /*eslint func-names:0*/\n\n  function generateHTTPMethod(isForm) {\n    return function httpMethod(url, data, config) {\n      return this.request(mergeConfig(config || {}, {\n        method,\n        headers: isForm ? {\n          'Content-Type': 'multipart/form-data'\n        } : {},\n        url,\n        data\n      }));\n    };\n  }\n\n  Axios.prototype[method] = generateHTTPMethod();\n\n  Axios.prototype[method + 'Form'] = generateHTTPMethod(true);\n});\n\nexport default Axios;\n","'use strict';\n\nimport CanceledError from './CanceledError.js';\n\n/**\n * A `CancelToken` is an object that can be used to request cancellation of an operation.\n *\n * @param {Function} executor The executor function.\n *\n * @returns {CancelToken}\n */\nclass CancelToken {\n  constructor(executor) {\n    if (typeof executor !== 'function') {\n      throw new TypeError('executor must be a function.');\n    }\n\n    let resolvePromise;\n\n    this.promise = new Promise(function promiseExecutor(resolve) {\n      resolvePromise = resolve;\n    });\n\n    const token = this;\n\n    // eslint-disable-next-line func-names\n    this.promise.then(cancel => {\n      if (!token._listeners) return;\n\n      let i = token._listeners.length;\n\n      while (i-- > 0) {\n        token._listeners[i](cancel);\n      }\n      token._listeners = null;\n    });\n\n    // eslint-disable-next-line func-names\n    this.promise.then = onfulfilled => {\n      let _resolve;\n      // eslint-disable-next-line func-names\n      const promise = new Promise(resolve => {\n        token.subscribe(resolve);\n        _resolve = resolve;\n      }).then(onfulfilled);\n\n      promise.cancel = function reject() {\n        token.unsubscribe(_resolve);\n      };\n\n      return promise;\n    };\n\n    executor(function cancel(message, config, request) {\n      if (token.reason) {\n        // Cancellation has already been requested\n        return;\n      }\n\n      token.reason = new CanceledError(message, config, request);\n      resolvePromise(token.reason);\n    });\n  }\n\n  /**\n   * Throws a `CanceledError` if cancellation has been requested.\n   */\n  throwIfRequested() {\n    if (this.reason) {\n      throw this.reason;\n    }\n  }\n\n  /**\n   * Subscribe to the cancel signal\n   */\n\n  subscribe(listener) {\n    if (this.reason) {\n      listener(this.reason);\n      return;\n    }\n\n    if (this._listeners) {\n      this._listeners.push(listener);\n    } else {\n      this._listeners = [listener];\n    }\n  }\n\n  /**\n   * Unsubscribe from the cancel signal\n   */\n\n  unsubscribe(listener) {\n    if (!this._listeners) {\n      return;\n    }\n    const index = this._listeners.indexOf(listener);\n    if (index !== -1) {\n      this._listeners.splice(index, 1);\n    }\n  }\n\n  /**\n   * Returns an object that contains a new `CancelToken` and a function that, when called,\n   * cancels the `CancelToken`.\n   */\n  static source() {\n    let cancel;\n    const token = new CancelToken(function executor(c) {\n      cancel = c;\n    });\n    return {\n      token,\n      cancel\n    };\n  }\n}\n\nexport default CancelToken;\n","'use strict';\n\n/**\n * Syntactic sugar for invoking a function and expanding an array for arguments.\n *\n * Common use case would be to use `Function.prototype.apply`.\n *\n *  ```js\n *  function f(x, y, z) {}\n *  var args = [1, 2, 3];\n *  f.apply(null, args);\n *  ```\n *\n * With `spread` this example can be re-written.\n *\n *  ```js\n *  spread(function(x, y, z) {})([1, 2, 3]);\n *  ```\n *\n * @param {Function} callback\n *\n * @returns {Function}\n */\nexport default function spread(callback) {\n  return function wrap(arr) {\n    return callback.apply(null, arr);\n  };\n}\n","'use strict';\n\nimport utils from './../utils.js';\n\n/**\n * Determines whether the payload is an error thrown by Axios\n *\n * @param {*} payload The value to test\n *\n * @returns {boolean} True if the payload is an error thrown by Axios, otherwise false\n */\nexport default function isAxiosError(payload) {\n  return utils.isObject(payload) && (payload.isAxiosError === true);\n}\n","const HttpStatusCode = {\n  Continue: 100,\n  SwitchingProtocols: 101,\n  Processing: 102,\n  EarlyHints: 103,\n  Ok: 200,\n  Created: 201,\n  Accepted: 202,\n  NonAuthoritativeInformation: 203,\n  NoContent: 204,\n  ResetContent: 205,\n  PartialContent: 206,\n  MultiStatus: 207,\n  AlreadyReported: 208,\n  ImUsed: 226,\n  MultipleChoices: 300,\n  MovedPermanently: 301,\n  Found: 302,\n  SeeOther: 303,\n  NotModified: 304,\n  UseProxy: 305,\n  Unused: 306,\n  TemporaryRedirect: 307,\n  PermanentRedirect: 308,\n  BadRequest: 400,\n  Unauthorized: 401,\n  PaymentRequired: 402,\n  Forbidden: 403,\n  NotFound: 404,\n  MethodNotAllowed: 405,\n  NotAcceptable: 406,\n  ProxyAuthenticationRequired: 407,\n  RequestTimeout: 408,\n  Conflict: 409,\n  Gone: 410,\n  LengthRequired: 411,\n  PreconditionFailed: 412,\n  PayloadTooLarge: 413,\n  UriTooLong: 414,\n  UnsupportedMediaType: 415,\n  RangeNotSatisfiable: 416,\n  ExpectationFailed: 417,\n  ImATeapot: 418,\n  MisdirectedRequest: 421,\n  UnprocessableEntity: 422,\n  Locked: 423,\n  FailedDependency: 424,\n  TooEarly: 425,\n  UpgradeRequired: 426,\n  PreconditionRequired: 428,\n  TooManyRequests: 429,\n  RequestHeaderFieldsTooLarge: 431,\n  UnavailableForLegalReasons: 451,\n  InternalServerError: 500,\n  NotImplemented: 501,\n  BadGateway: 502,\n  ServiceUnavailable: 503,\n  GatewayTimeout: 504,\n  HttpVersionNotSupported: 505,\n  VariantAlsoNegotiates: 506,\n  InsufficientStorage: 507,\n  LoopDetected: 508,\n  NotExtended: 510,\n  NetworkAuthenticationRequired: 511,\n};\n\nObject.entries(HttpStatusCode).forEach(([key, value]) => {\n  HttpStatusCode[value] = key;\n});\n\nexport default HttpStatusCode;\n","'use strict';\n\nimport utils from './utils.js';\nimport bind from './helpers/bind.js';\nimport Axios from './core/Axios.js';\nimport mergeConfig from './core/mergeConfig.js';\nimport defaults from './defaults/index.js';\nimport formDataToJSON from './helpers/formDataToJSON.js';\nimport CanceledError from './cancel/CanceledError.js';\nimport CancelToken from './cancel/CancelToken.js';\nimport isCancel from './cancel/isCancel.js';\nimport {VERSION} from './env/data.js';\nimport toFormData from './helpers/toFormData.js';\nimport AxiosError from './core/AxiosError.js';\nimport spread from './helpers/spread.js';\nimport isAxiosError from './helpers/isAxiosError.js';\nimport AxiosHeaders from \"./core/AxiosHeaders.js\";\nimport adapters from './adapters/adapters.js';\nimport HttpStatusCode from './helpers/HttpStatusCode.js';\n\n/**\n * Create an instance of Axios\n *\n * @param {Object} defaultConfig The default config for the instance\n *\n * @returns {Axios} A new instance of Axios\n */\nfunction createInstance(defaultConfig) {\n  const context = new Axios(defaultConfig);\n  const instance = bind(Axios.prototype.request, context);\n\n  // Copy axios.prototype to instance\n  utils.extend(instance, Axios.prototype, context, {allOwnKeys: true});\n\n  // Copy context to instance\n  utils.extend(instance, context, null, {allOwnKeys: true});\n\n  // Factory for creating new instances\n  instance.create = function create(instanceConfig) {\n    return createInstance(mergeConfig(defaultConfig, instanceConfig));\n  };\n\n  return instance;\n}\n\n// Create the default instance to be exported\nconst axios = createInstance(defaults);\n\n// Expose Axios class to allow class inheritance\naxios.Axios = Axios;\n\n// Expose Cancel & CancelToken\naxios.CanceledError = CanceledError;\naxios.CancelToken = CancelToken;\naxios.isCancel = isCancel;\naxios.VERSION = VERSION;\naxios.toFormData = toFormData;\n\n// Expose AxiosError class\naxios.AxiosError = AxiosError;\n\n// alias for CanceledError for backward compatibility\naxios.Cancel = axios.CanceledError;\n\n// Expose all/spread\naxios.all = function all(promises) {\n  return Promise.all(promises);\n};\n\naxios.spread = spread;\n\n// Expose isAxiosError\naxios.isAxiosError = isAxiosError;\n\n// Expose mergeConfig\naxios.mergeConfig = mergeConfig;\n\naxios.AxiosHeaders = AxiosHeaders;\n\naxios.formToJSON = thing => formDataToJSON(utils.isHTMLForm(thing) ? new FormData(thing) : thing);\n\naxios.getAdapter = adapters.getAdapter;\n\naxios.HttpStatusCode = HttpStatusCode;\n\naxios.default = axios;\n\n// this module should only have a default export\nexport default axios\n","import axios from './lib/axios.js';\n\n// This module is intended to unwrap Axios default export as named.\n// Keep top-level export same with static properties\n// so that it can keep same with es module or cjs\nconst {\n  Axios,\n  AxiosError,\n  CanceledError,\n  isCancel,\n  CancelToken,\n  VERSION,\n  all,\n  Cancel,\n  isAxiosError,\n  spread,\n  toFormData,\n  AxiosHeaders,\n  HttpStatusCode,\n  formToJSON,\n  getAdapter,\n  mergeConfig\n} = axios;\n\nexport {\n  axios as default,\n  Axios,\n  AxiosError,\n  CanceledError,\n  isCancel,\n  CancelToken,\n  VERSION,\n  all,\n  Cancel,\n  isAxiosError,\n  spread,\n  toFormData,\n  AxiosHeaders,\n  HttpStatusCode,\n  formToJSON,\n  getAdapter,\n  mergeConfig\n}\n","import { ComfyWorkflowJSON } from '@/types/comfyWorkflow'\nimport {\n  DownloadModelStatus,\n  HistoryTaskItem,\n  PendingTaskItem,\n  RunningTaskItem,\n  ComfyNodeDef,\n  validateComfyNodeDef,\n  EmbeddingsResponse,\n  ExtensionsResponse,\n  PromptResponse,\n  SystemStats,\n  User,\n  Settings\n} from '@/types/apiTypes'\nimport axios from 'axios'\n\ninterface QueuePromptRequestBody {\n  client_id: string\n  // Mapping from node id to node info + input values\n  // TODO: Type this.\n  prompt: Record<number, any>\n  extra_data: {\n    extra_pnginfo: {\n      workflow: ComfyWorkflowJSON\n    }\n  }\n  front?: boolean\n  number?: number\n}\n\nclass ComfyApi extends EventTarget {\n  #registered = new Set()\n  api_host: string\n  api_base: string\n  initialClientId: string\n  user: string\n  socket?: WebSocket\n  clientId?: string\n\n  reportedUnknownMessageTypes = new Set<string>()\n\n  constructor() {\n    super()\n    this.api_host = location.host\n    this.api_base = location.pathname.split('/').slice(0, -1).join('/')\n    this.initialClientId = sessionStorage.getItem('clientId')\n  }\n\n  internalURL(route: string): string {\n    return this.api_base + '/internal' + route\n  }\n\n  apiURL(route: string): string {\n    return this.api_base + '/api' + route\n  }\n\n  fileURL(route: string): string {\n    return this.api_base + route\n  }\n\n  fetchApi(route: string, options?: RequestInit) {\n    if (!options) {\n      options = {}\n    }\n    if (!options.headers) {\n      options.headers = {}\n    }\n    if (!options.cache) {\n      options.cache = 'no-cache'\n    }\n    options.headers['Comfy-User'] = this.user\n    return fetch(this.apiURL(route), options)\n  }\n\n  addEventListener(\n    type: string,\n    callback: any,\n    options?: AddEventListenerOptions\n  ) {\n    super.addEventListener(type, callback, options)\n    this.#registered.add(type)\n  }\n\n  /**\n   * Poll status  for colab and other things that don't support websockets.\n   */\n  #pollQueue() {\n    setInterval(async () => {\n      try {\n        const resp = await this.fetchApi('/prompt')\n        const status = await resp.json()\n        this.dispatchEvent(new CustomEvent('status', { detail: status }))\n      } catch (error) {\n        this.dispatchEvent(new CustomEvent('status', { detail: null }))\n      }\n    }, 1000)\n  }\n\n  /**\n   * Creates and connects a WebSocket for realtime updates\n   * @param {boolean} isReconnect If the socket is connection is a reconnect attempt\n   */\n  #createSocket(isReconnect?: boolean) {\n    if (this.socket) {\n      return\n    }\n\n    let opened = false\n    let existingSession = window.name\n    if (existingSession) {\n      existingSession = '?clientId=' + existingSession\n    }\n    this.socket = new WebSocket(\n      `ws${window.location.protocol === 'https:' ? 's' : ''}://${this.api_host}${this.api_base}/ws${existingSession}`\n    )\n    this.socket.binaryType = 'arraybuffer'\n\n    this.socket.addEventListener('open', () => {\n      opened = true\n      if (isReconnect) {\n        this.dispatchEvent(new CustomEvent('reconnected'))\n      }\n    })\n\n    this.socket.addEventListener('error', () => {\n      if (this.socket) this.socket.close()\n      if (!isReconnect && !opened) {\n        this.#pollQueue()\n      }\n    })\n\n    this.socket.addEventListener('close', () => {\n      setTimeout(() => {\n        this.socket = null\n        this.#createSocket(true)\n      }, 300)\n      if (opened) {\n        this.dispatchEvent(new CustomEvent('status', { detail: null }))\n        this.dispatchEvent(new CustomEvent('reconnecting'))\n      }\n    })\n\n    this.socket.addEventListener('message', (event) => {\n      try {\n        if (event.data instanceof ArrayBuffer) {\n          const view = new DataView(event.data)\n          const eventType = view.getUint32(0)\n          const buffer = event.data.slice(4)\n          switch (eventType) {\n            case 1:\n              const view2 = new DataView(event.data)\n              const imageType = view2.getUint32(0)\n              let imageMime\n              switch (imageType) {\n                case 1:\n                default:\n                  imageMime = 'image/jpeg'\n                  break\n                case 2:\n                  imageMime = 'image/png'\n              }\n              const imageBlob = new Blob([buffer.slice(4)], {\n                type: imageMime\n              })\n              this.dispatchEvent(\n                new CustomEvent('b_preview', { detail: imageBlob })\n              )\n              break\n            default:\n              throw new Error(\n                `Unknown binary websocket message of type ${eventType}`\n              )\n          }\n        } else {\n          const msg = JSON.parse(event.data)\n          switch (msg.type) {\n            case 'status':\n              if (msg.data.sid) {\n                this.clientId = msg.data.sid\n                window.name = this.clientId // use window name so it isnt reused when duplicating tabs\n                sessionStorage.setItem('clientId', this.clientId) // store in session storage so duplicate tab can load correct workflow\n              }\n              this.dispatchEvent(\n                new CustomEvent('status', { detail: msg.data.status })\n              )\n              break\n            case 'progress':\n              this.dispatchEvent(\n                new CustomEvent('progress', { detail: msg.data })\n              )\n              break\n            case 'executing':\n              this.dispatchEvent(\n                new CustomEvent('executing', {\n                  detail: msg.data.display_node || msg.data.node\n                })\n              )\n              break\n            case 'executed':\n              this.dispatchEvent(\n                new CustomEvent('executed', { detail: msg.data })\n              )\n              break\n            case 'execution_start':\n              this.dispatchEvent(\n                new CustomEvent('execution_start', { detail: msg.data })\n              )\n              break\n            case 'execution_success':\n              this.dispatchEvent(\n                new CustomEvent('execution_success', { detail: msg.data })\n              )\n              break\n            case 'execution_error':\n              this.dispatchEvent(\n                new CustomEvent('execution_error', { detail: msg.data })\n              )\n              break\n            case 'execution_cached':\n              this.dispatchEvent(\n                new CustomEvent('execution_cached', { detail: msg.data })\n              )\n              break\n            case 'download_progress':\n              this.dispatchEvent(\n                new CustomEvent('download_progress', { detail: msg.data })\n              )\n              break\n            default:\n              if (this.#registered.has(msg.type)) {\n                this.dispatchEvent(\n                  new CustomEvent(msg.type, { detail: msg.data })\n                )\n              } else if (!this.reportedUnknownMessageTypes.has(msg.type)) {\n                this.reportedUnknownMessageTypes.add(msg.type)\n                throw new Error(`Unknown message type ${msg.type}`)\n              }\n          }\n        }\n      } catch (error) {\n        console.warn('Unhandled message:', event.data, error)\n      }\n    })\n  }\n\n  /**\n   * Initialises sockets and realtime updates\n   */\n  init() {\n    this.#createSocket()\n  }\n\n  /**\n   * Gets a list of extension urls\n   */\n  async getExtensions(): Promise<ExtensionsResponse> {\n    const resp = await this.fetchApi('/extensions', { cache: 'no-store' })\n    return await resp.json()\n  }\n\n  /**\n   * Gets a list of embedding names\n   */\n  async getEmbeddings(): Promise<EmbeddingsResponse> {\n    const resp = await this.fetchApi('/embeddings', { cache: 'no-store' })\n    return await resp.json()\n  }\n\n  /**\n   * Loads node object definitions for the graph\n   * @returns The node definitions\n   */\n  async getNodeDefs(): Promise<Record<string, ComfyNodeDef>> {\n    const resp = await this.fetchApi('/object_info', { cache: 'no-store' })\n    const objectInfoUnsafe = await resp.json()\n    const objectInfo: Record<string, ComfyNodeDef> = {}\n    for (const key in objectInfoUnsafe) {\n      const validatedDef = validateComfyNodeDef(\n        objectInfoUnsafe[key],\n        /* onError=*/ (errorMessage: string) => {\n          console.warn(\n            `Skipping invalid node definition: ${key}. See debug log for more information.`\n          )\n          console.debug(errorMessage)\n        }\n      )\n      if (validatedDef !== null) {\n        objectInfo[key] = validatedDef\n      }\n    }\n    return objectInfo\n  }\n\n  /**\n   *\n   * @param {number} number The index at which to queue the prompt, passing -1 will insert the prompt at the front of the queue\n   * @param {object} prompt The prompt data to queue\n   */\n  async queuePrompt(\n    number: number,\n    { output, workflow }\n  ): Promise<PromptResponse> {\n    const body: QueuePromptRequestBody = {\n      client_id: this.clientId,\n      prompt: output,\n      extra_data: { extra_pnginfo: { workflow } }\n    }\n\n    if (number === -1) {\n      body.front = true\n    } else if (number != 0) {\n      body.number = number\n    }\n\n    const res = await this.fetchApi('/prompt', {\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/json'\n      },\n      body: JSON.stringify(body)\n    })\n\n    if (res.status !== 200) {\n      throw {\n        response: await res.json()\n      }\n    }\n\n    return await res.json()\n  }\n\n  /**\n   * Gets a list of models in the specified folder\n   * @param {string} folder The folder to list models from, such as 'checkpoints'\n   * @returns The list of model filenames within the specified folder\n   */\n  async getModels(folder: string) {\n    const res = await this.fetchApi(`/models/${folder}`)\n    if (res.status === 404) {\n      return null\n    }\n    return await res.json()\n  }\n\n  /**\n   * Tells the server to download a model from the specified URL to the specified directory and filename\n   * @param {string} url The URL to download the model from\n   * @param {string} model_directory The main directory (eg 'checkpoints') to save the model to\n   * @param {string} model_filename The filename to save the model as\n   * @param {number} progress_interval The interval in seconds at which to report download progress (via 'download_progress' event)\n   */\n  async internalDownloadModel(\n    url: string,\n    model_directory: string,\n    model_filename: string,\n    progress_interval: number\n  ): Promise<DownloadModelStatus> {\n    const res = await this.fetchApi('/internal/models/download', {\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/json'\n      },\n      body: JSON.stringify({\n        url,\n        model_directory,\n        model_filename,\n        progress_interval\n      })\n    })\n    return await res.json()\n  }\n\n  /**\n   * Loads a list of items (queue or history)\n   * @param {string} type The type of items to load, queue or history\n   * @returns The items of the specified type grouped by their status\n   */\n  async getItems(type: 'queue' | 'history') {\n    if (type === 'queue') {\n      return this.getQueue()\n    }\n    return this.getHistory()\n  }\n\n  /**\n   * Gets the current state of the queue\n   * @returns The currently running and queued items\n   */\n  async getQueue(): Promise<{\n    Running: RunningTaskItem[]\n    Pending: PendingTaskItem[]\n  }> {\n    try {\n      const res = await this.fetchApi('/queue')\n      const data = await res.json()\n      return {\n        // Running action uses a different endpoint for cancelling\n        Running: data.queue_running.map((prompt) => ({\n          taskType: 'Running',\n          prompt,\n          remove: { name: 'Cancel', cb: () => api.interrupt() }\n        })),\n        Pending: data.queue_pending.map((prompt) => ({\n          taskType: 'Pending',\n          prompt\n        }))\n      }\n    } catch (error) {\n      console.error(error)\n      return { Running: [], Pending: [] }\n    }\n  }\n\n  /**\n   * Gets the prompt execution history\n   * @returns Prompt history including node outputs\n   */\n  async getHistory(\n    max_items: number = 200\n  ): Promise<{ History: HistoryTaskItem[] }> {\n    try {\n      const res = await this.fetchApi(`/history?max_items=${max_items}`)\n      const json: Promise<HistoryTaskItem[]> = await res.json()\n      return {\n        History: Object.values(json).map((item) => ({\n          ...item,\n          taskType: 'History'\n        }))\n      }\n    } catch (error) {\n      console.error(error)\n      return { History: [] }\n    }\n  }\n\n  /**\n   * Gets system & device stats\n   * @returns System stats such as python version, OS, per device info\n   */\n  async getSystemStats(): Promise<SystemStats> {\n    const res = await this.fetchApi('/system_stats')\n    return await res.json()\n  }\n\n  /**\n   * Sends a POST request to the API\n   * @param {*} type The endpoint to post to\n   * @param {*} body Optional POST data\n   */\n  async #postItem(type: string, body: any) {\n    try {\n      await this.fetchApi('/' + type, {\n        method: 'POST',\n        headers: {\n          'Content-Type': 'application/json'\n        },\n        body: body ? JSON.stringify(body) : undefined\n      })\n    } catch (error) {\n      console.error(error)\n    }\n  }\n\n  /**\n   * Deletes an item from the specified list\n   * @param {string} type The type of item to delete, queue or history\n   * @param {number} id The id of the item to delete\n   */\n  async deleteItem(type: string, id: string) {\n    await this.#postItem(type, { delete: [id] })\n  }\n\n  /**\n   * Clears the specified list\n   * @param {string} type The type of list to clear, queue or history\n   */\n  async clearItems(type: string) {\n    await this.#postItem(type, { clear: true })\n  }\n\n  /**\n   * Interrupts the execution of the running prompt\n   */\n  async interrupt() {\n    await this.#postItem('interrupt', null)\n  }\n\n  /**\n   * Gets user configuration data and where data should be stored\n   */\n  async getUserConfig(): Promise<User> {\n    return (await this.fetchApi('/users')).json()\n  }\n\n  /**\n   * Creates a new user\n   * @param { string } username\n   * @returns The fetch response\n   */\n  createUser(username: string) {\n    return this.fetchApi('/users', {\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/json'\n      },\n      body: JSON.stringify({ username })\n    })\n  }\n\n  /**\n   * Gets all setting values for the current user\n   * @returns { Promise<string, unknown> } A dictionary of id -> value\n   */\n  async getSettings(): Promise<Settings> {\n    return (await this.fetchApi('/settings')).json()\n  }\n\n  /**\n   * Gets a setting for the current user\n   * @param { string } id The id of the setting to fetch\n   * @returns { Promise<unknown> } The setting value\n   */\n  async getSetting(id: keyof Settings): Promise<Settings[keyof Settings]> {\n    return (await this.fetchApi(`/settings/${encodeURIComponent(id)}`)).json()\n  }\n\n  /**\n   * Stores a dictionary of settings for the current user\n   */\n  async storeSettings(settings: Settings) {\n    return this.fetchApi(`/settings`, {\n      method: 'POST',\n      body: JSON.stringify(settings)\n    })\n  }\n\n  /**\n   * Stores a setting for the current user\n   */\n  async storeSetting(id: keyof Settings, value: Settings[keyof Settings]) {\n    return this.fetchApi(`/settings/${encodeURIComponent(id)}`, {\n      method: 'POST',\n      body: JSON.stringify(value)\n    })\n  }\n\n  /**\n   * Gets a user data file for the current user\n   */\n  async getUserData(file: string, options?: RequestInit) {\n    return this.fetchApi(`/userdata/${encodeURIComponent(file)}`, options)\n  }\n\n  /**\n   * Stores a user data file for the current user\n   * @param { string } file The name of the userdata file to save\n   * @param { unknown } data The data to save to the file\n   * @param { RequestInit & { stringify?: boolean, throwOnError?: boolean } } [options]\n   * @returns { Promise<Response> }\n   */\n  async storeUserData(\n    file: string,\n    data: any,\n    options: RequestInit & {\n      overwrite?: boolean\n      stringify?: boolean\n      throwOnError?: boolean\n    } = { overwrite: true, stringify: true, throwOnError: true }\n  ): Promise<Response> {\n    const resp = await this.fetchApi(\n      `/userdata/${encodeURIComponent(file)}?overwrite=${options.overwrite}`,\n      {\n        method: 'POST',\n        body: options?.stringify ? JSON.stringify(data) : data,\n        ...options\n      }\n    )\n    if (resp.status !== 200 && options.throwOnError !== false) {\n      throw new Error(\n        `Error storing user data file '${file}': ${resp.status} ${(await resp).statusText}`\n      )\n    }\n\n    return resp\n  }\n\n  /**\n   * Deletes a user data file for the current user\n   * @param { string } file The name of the userdata file to delete\n   */\n  async deleteUserData(file: string) {\n    const resp = await this.fetchApi(`/userdata/${encodeURIComponent(file)}`, {\n      method: 'DELETE'\n    })\n    return resp\n  }\n\n  /**\n   * Move a user data file for the current user\n   * @param { string } source The userdata file to move\n   * @param { string } dest The destination for the file\n   */\n  async moveUserData(\n    source: string,\n    dest: string,\n    options = { overwrite: false }\n  ) {\n    const resp = await this.fetchApi(\n      `/userdata/${encodeURIComponent(source)}/move/${encodeURIComponent(dest)}?overwrite=${options?.overwrite}`,\n      {\n        method: 'POST'\n      }\n    )\n    return resp\n  }\n\n  /**\n   * @overload\n   * Lists user data files for the current user\n   * @param { string } dir The directory in which to list files\n   * @param { boolean } [recurse] If the listing should be recursive\n   * @param { true } [split] If the paths should be split based on the os path separator\n   * @returns { Promise<string[][]> } The list of split file paths in the format [fullPath, ...splitPath]\n   */\n  /**\n   * @overload\n   * Lists user data files for the current user\n   * @param { string } dir The directory in which to list files\n   * @param { boolean } [recurse] If the listing should be recursive\n   * @param { false | undefined } [split] If the paths should be split based on the os path separator\n   * @returns { Promise<string[]> } The list of files\n   */\n  async listUserData(\n    dir: string,\n    recurse: boolean,\n    split?: true\n  ): Promise<string[][]>\n  async listUserData(\n    dir: string,\n    recurse: boolean,\n    split?: false\n  ): Promise<string[]>\n  async listUserData(dir, recurse, split) {\n    const resp = await this.fetchApi(\n      `/userdata?${new URLSearchParams({\n        recurse,\n        dir,\n        split\n      })}`\n    )\n    if (resp.status === 404) return []\n    if (resp.status !== 200) {\n      throw new Error(\n        `Error getting user data list '${dir}': ${resp.status} ${resp.statusText}`\n      )\n    }\n    return resp.json()\n  }\n\n  async getLogs(): Promise<string> {\n    return (await axios.get(this.internalURL('/logs'))).data\n  }\n}\n\nexport const api = new ComfyApi()\n","import { useDialogStore } from '@/stores/dialogStore'\nimport { $el } from '../ui'\n\nexport class ComfyDialog<\n  T extends HTMLElement = HTMLElement\n> extends EventTarget {\n  element: T\n  textElement: HTMLElement\n  #buttons: HTMLButtonElement[] | null\n\n  constructor(type = 'div', buttons = null) {\n    super()\n    this.#buttons = buttons\n    this.element = $el(type + '.comfy-modal', { parent: document.body }, [\n      $el('div.comfy-modal-content', [\n        $el('p', { $: (p) => (this.textElement = p) }),\n        ...this.createButtons()\n      ])\n    ]) as T\n  }\n\n  createButtons() {\n    return (\n      this.#buttons ?? [\n        $el('button', {\n          type: 'button',\n          textContent: 'Close',\n          onclick: () => this.close()\n        })\n      ]\n    )\n  }\n\n  close() {\n    this.element.style.display = 'none'\n  }\n\n  show(html) {\n    if (typeof html === 'string') {\n      this.textElement.innerHTML = html\n    } else {\n      this.textElement.replaceChildren(\n        ...(html instanceof Array ? html : [html])\n      )\n    }\n    this.element.style.display = 'flex'\n  }\n}\n","import { $el } from '../ui'\n\n/**\n * @typedef { { text: string, value?: string, tooltip?: string } } ToggleSwitchItem\n */\n/**\n * Creates a toggle switch element\n * @param { string } name\n * @param { Array<string> | ToggleSwitchItem } items\n * @param { Object } [opts]\n * @param { (e: { item: ToggleSwitchItem, prev?: ToggleSwitchItem }) => void } [opts.onChange]\n */\nexport function toggleSwitch(name, items, e?) {\n  const onChange = e?.onChange\n\n  let selectedIndex\n  let elements\n\n  function updateSelected(index) {\n    if (selectedIndex != null) {\n      elements[selectedIndex].classList.remove('comfy-toggle-selected')\n    }\n    onChange?.({\n      item: items[index],\n      prev: selectedIndex == null ? undefined : items[selectedIndex]\n    })\n    selectedIndex = index\n    elements[selectedIndex].classList.add('comfy-toggle-selected')\n  }\n\n  elements = items.map((item, i) => {\n    if (typeof item === 'string') item = { text: item }\n    if (!item.value) item.value = item.text\n\n    const toggle = $el(\n      'label',\n      {\n        textContent: item.text,\n        title: item.tooltip ?? ''\n      },\n      $el('input', {\n        name,\n        type: 'radio',\n        value: item.value ?? item.text,\n        checked: item.selected,\n        onchange: () => {\n          updateSelected(i)\n        }\n      })\n    )\n    if (item.selected) {\n      updateSelected(i)\n    }\n    return toggle\n  })\n\n  const container = $el('div.comfy-toggle-switch', elements)\n\n  if (selectedIndex == null) {\n    elements[0].children[0].checked = true\n    updateSelected(0)\n  }\n\n  return container\n}\n","export enum LinkReleaseTriggerMode {\n  ALWAYS = 'always',\n  HOLD_SHIFT = 'hold shift',\n  NOT_HOLD_SHIFT = 'NOT hold shift'\n}\n","import type { TreeNode } from 'primevue/treenode'\n\nexport function buildTree<T>(\n  items: T[],\n  key: string | ((item: T) => string[])\n): TreeNode {\n  const root: TreeNode = {\n    key: 'root',\n    label: 'root',\n    children: []\n  }\n\n  const map: Record<string, TreeNode> = {\n    root: root\n  }\n\n  for (const item of items) {\n    const keys = typeof key === 'string' ? item[key] : key(item)\n    let parent = root\n    for (let i = 0; i < keys.length; i++) {\n      const k = keys[i]\n      // 'a/b/c/' represents an empty folder 'c' in folder 'b' in folder 'a'\n      // 'a/b/c/' is split into ['a', 'b', 'c', '']\n      if (k === '' && i === keys.length - 1) break\n\n      const id = parent.key + '/' + k\n      if (!map[id]) {\n        const node: TreeNode = {\n          key: id,\n          label: k,\n          leaf: false,\n          children: []\n        }\n        map[id] = node\n        parent.children.push(node)\n      }\n      parent = map[id]\n    }\n    parent.leaf = keys[keys.length - 1] !== ''\n    parent.data = item\n  }\n  return root\n}\n\nexport function flattenTree<T>(tree: TreeNode): T[] {\n  const result: T[] = []\n  const stack: TreeNode[] = [tree]\n  while (stack.length) {\n    const node = stack.pop()!\n    if (node.leaf && node.data) result.push(node.data)\n    stack.push(...(node.children || []))\n  }\n  return result\n}\n\nexport function sortedTree(node: TreeNode): TreeNode {\n  // Create a new node with the same label and data\n  const newNode: TreeNode = {\n    ...node\n  }\n\n  if (node.children) {\n    // Sort the children of the current node\n    const sortedChildren = [...node.children].sort((a, b) =>\n      a.label.localeCompare(b.label)\n    )\n    // Recursively sort the children and add them to the new node\n    newNode.children = []\n    for (const child of sortedChildren) {\n      newNode.children.push(sortedTree(child))\n    }\n  }\n\n  return newNode\n}\n\nexport const findNodeByKey = (root: TreeNode, key: string): TreeNode | null => {\n  if (root.key === key) {\n    return root\n  }\n  if (!root.children) {\n    return null\n  }\n  for (const child of root.children) {\n    const result = findNodeByKey(child, key)\n    if (result) {\n      return result\n    }\n  }\n  return null\n}\n","import * as Vue from 'vue'\n\nvar isVue2 = false\nvar isVue3 = true\nvar Vue2 = undefined\n\nfunction install() {}\n\nexport function set(target, key, val) {\n  if (Array.isArray(target)) {\n    target.length = Math.max(target.length, key)\n    target.splice(key, 1, val)\n    return val\n  }\n  target[key] = val\n  return val\n}\n\nexport function del(target, key) {\n  if (Array.isArray(target)) {\n    target.splice(key, 1)\n    return\n  }\n  delete target[key]\n}\n\nexport * from 'vue'\nexport {\n  Vue,\n  Vue2,\n  isVue2,\n  isVue3,\n  install,\n}\n","export function getDevtoolsGlobalHook() {\n    return getTarget().__VUE_DEVTOOLS_GLOBAL_HOOK__;\n}\nexport function getTarget() {\n    // @ts-expect-error navigator and windows are not available in all environments\n    return (typeof navigator !== 'undefined' && typeof window !== 'undefined')\n        ? window\n        : typeof globalThis !== 'undefined'\n            ? globalThis\n            : {};\n}\nexport const isProxyAvailable = typeof Proxy === 'function';\n","export const HOOK_SETUP = 'devtools-plugin:setup';\nexport const HOOK_PLUGIN_SETTINGS_SET = 'plugin:settings:set';\n","let supported;\nlet perf;\nexport function isPerformanceSupported() {\n    var _a;\n    if (supported !== undefined) {\n        return supported;\n    }\n    if (typeof window !== 'undefined' && window.performance) {\n        supported = true;\n        perf = window.performance;\n    }\n    else if (typeof globalThis !== 'undefined' && ((_a = globalThis.perf_hooks) === null || _a === void 0 ? void 0 : _a.performance)) {\n        supported = true;\n        perf = globalThis.perf_hooks.performance;\n    }\n    else {\n        supported = false;\n    }\n    return supported;\n}\nexport function now() {\n    return isPerformanceSupported() ? perf.now() : Date.now();\n}\n","import { HOOK_PLUGIN_SETTINGS_SET } from './const.js';\nimport { now } from './time.js';\nexport class ApiProxy {\n    constructor(plugin, hook) {\n        this.target = null;\n        this.targetQueue = [];\n        this.onQueue = [];\n        this.plugin = plugin;\n        this.hook = hook;\n        const defaultSettings = {};\n        if (plugin.settings) {\n            for (const id in plugin.settings) {\n                const item = plugin.settings[id];\n                defaultSettings[id] = item.defaultValue;\n            }\n        }\n        const localSettingsSaveId = `__vue-devtools-plugin-settings__${plugin.id}`;\n        let currentSettings = Object.assign({}, defaultSettings);\n        try {\n            const raw = localStorage.getItem(localSettingsSaveId);\n            const data = JSON.parse(raw);\n            Object.assign(currentSettings, data);\n        }\n        catch (e) {\n            // noop\n        }\n        this.fallbacks = {\n            getSettings() {\n                return currentSettings;\n            },\n            setSettings(value) {\n                try {\n                    localStorage.setItem(localSettingsSaveId, JSON.stringify(value));\n                }\n                catch (e) {\n                    // noop\n                }\n                currentSettings = value;\n            },\n            now() {\n                return now();\n            },\n        };\n        if (hook) {\n            hook.on(HOOK_PLUGIN_SETTINGS_SET, (pluginId, value) => {\n                if (pluginId === this.plugin.id) {\n                    this.fallbacks.setSettings(value);\n                }\n            });\n        }\n        this.proxiedOn = new Proxy({}, {\n            get: (_target, prop) => {\n                if (this.target) {\n                    return this.target.on[prop];\n                }\n                else {\n                    return (...args) => {\n                        this.onQueue.push({\n                            method: prop,\n                            args,\n                        });\n                    };\n                }\n            },\n        });\n        this.proxiedTarget = new Proxy({}, {\n            get: (_target, prop) => {\n                if (this.target) {\n                    return this.target[prop];\n                }\n                else if (prop === 'on') {\n                    return this.proxiedOn;\n                }\n                else if (Object.keys(this.fallbacks).includes(prop)) {\n                    return (...args) => {\n                        this.targetQueue.push({\n                            method: prop,\n                            args,\n                            resolve: () => { },\n                        });\n                        return this.fallbacks[prop](...args);\n                    };\n                }\n                else {\n                    return (...args) => {\n                        return new Promise((resolve) => {\n                            this.targetQueue.push({\n                                method: prop,\n                                args,\n                                resolve,\n                            });\n                        });\n                    };\n                }\n            },\n        });\n    }\n    async setRealTarget(target) {\n        this.target = target;\n        for (const item of this.onQueue) {\n            this.target.on[item.method](...item.args);\n        }\n        for (const item of this.targetQueue) {\n            item.resolve(await this.target[item.method](...item.args));\n        }\n    }\n}\n","import { getDevtoolsGlobalHook, getTarget, isProxyAvailable } from './env.js';\nimport { HOOK_SETUP } from './const.js';\nimport { ApiProxy } from './proxy.js';\nexport * from './api/index.js';\nexport * from './plugin.js';\nexport * from './time.js';\nexport function setupDevtoolsPlugin(pluginDescriptor, setupFn) {\n    const descriptor = pluginDescriptor;\n    const target = getTarget();\n    const hook = getDevtoolsGlobalHook();\n    const enableProxy = isProxyAvailable && descriptor.enableEarlyProxy;\n    if (hook && (target.__VUE_DEVTOOLS_PLUGIN_API_AVAILABLE__ || !enableProxy)) {\n        hook.emit(HOOK_SETUP, pluginDescriptor, setupFn);\n    }\n    else {\n        const proxy = enableProxy ? new ApiProxy(descriptor, hook) : null;\n        const list = target.__VUE_DEVTOOLS_PLUGINS__ = target.__VUE_DEVTOOLS_PLUGINS__ || [];\n        list.push({\n            pluginDescriptor: descriptor,\n            setupFn,\n            proxy,\n        });\n        if (proxy) {\n            setupFn(proxy.proxiedTarget);\n        }\n    }\n}\n","/*!\n * pinia v2.1.7\n * (c) 2023 Eduardo San Martin Morote\n * @license MIT\n */\nimport { hasInjectionContext, inject, toRaw, watch, unref, markRaw, effectScope, ref, isVue2, isRef, isReactive, set, getCurrentScope, onScopeDispose, getCurrentInstance, reactive, toRef, del, nextTick, computed, toRefs } from 'vue-demi';\nimport { setupDevtoolsPlugin } from '@vue/devtools-api';\n\n/**\n * setActivePinia must be called to handle SSR at the top of functions like\n * `fetch`, `setup`, `serverPrefetch` and others\n */\nlet activePinia;\n/**\n * Sets or unsets the active pinia. Used in SSR and internally when calling\n * actions and getters\n *\n * @param pinia - Pinia instance\n */\n// @ts-expect-error: cannot constrain the type of the return\nconst setActivePinia = (pinia) => (activePinia = pinia);\n/**\n * Get the currently active pinia if there is any.\n */\nconst getActivePinia = () => (hasInjectionContext() && inject(piniaSymbol)) || activePinia;\nconst piniaSymbol = ((process.env.NODE_ENV !== 'production') ? Symbol('pinia') : /* istanbul ignore next */ Symbol());\n\nfunction isPlainObject(\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\no) {\n    return (o &&\n        typeof o === 'object' &&\n        Object.prototype.toString.call(o) === '[object Object]' &&\n        typeof o.toJSON !== 'function');\n}\n// type DeepReadonly<T> = { readonly [P in keyof T]: DeepReadonly<T[P]> }\n// TODO: can we change these to numbers?\n/**\n * Possible types for SubscriptionCallback\n */\nvar MutationType;\n(function (MutationType) {\n    /**\n     * Direct mutation of the state:\n     *\n     * - `store.name = 'new name'`\n     * - `store.$state.name = 'new name'`\n     * - `store.list.push('new item')`\n     */\n    MutationType[\"direct\"] = \"direct\";\n    /**\n     * Mutated the state with `$patch` and an object\n     *\n     * - `store.$patch({ name: 'newName' })`\n     */\n    MutationType[\"patchObject\"] = \"patch object\";\n    /**\n     * Mutated the state with `$patch` and a function\n     *\n     * - `store.$patch(state => state.name = 'newName')`\n     */\n    MutationType[\"patchFunction\"] = \"patch function\";\n    // maybe reset? for $state = {} and $reset\n})(MutationType || (MutationType = {}));\n\nconst IS_CLIENT = typeof window !== 'undefined';\n/**\n * Should we add the devtools plugins.\n * - only if dev mode or forced through the prod devtools flag\n * - not in test\n * - only if window exists (could change in the future)\n */\nconst USE_DEVTOOLS = ((process.env.NODE_ENV !== 'production') || (typeof __VUE_PROD_DEVTOOLS__ !== 'undefined' && __VUE_PROD_DEVTOOLS__)) && !(process.env.NODE_ENV === 'test') && IS_CLIENT;\n\n/*\n * FileSaver.js A saveAs() FileSaver implementation.\n *\n * Originally by Eli Grey, adapted as an ESM module by Eduardo San Martin\n * Morote.\n *\n * License : MIT\n */\n// The one and only way of getting global scope in all environments\n// https://stackoverflow.com/q/3277182/1008999\nconst _global = /*#__PURE__*/ (() => typeof window === 'object' && window.window === window\n    ? window\n    : typeof self === 'object' && self.self === self\n        ? self\n        : typeof global === 'object' && global.global === global\n            ? global\n            : typeof globalThis === 'object'\n                ? globalThis\n                : { HTMLElement: null })();\nfunction bom(blob, { autoBom = false } = {}) {\n    // prepend BOM for UTF-8 XML and text/* types (including HTML)\n    // note: your browser will automatically convert UTF-16 U+FEFF to EF BB BF\n    if (autoBom &&\n        /^\\s*(?:text\\/\\S*|application\\/xml|\\S*\\/\\S*\\+xml)\\s*;.*charset\\s*=\\s*utf-8/i.test(blob.type)) {\n        return new Blob([String.fromCharCode(0xfeff), blob], { type: blob.type });\n    }\n    return blob;\n}\nfunction download(url, name, opts) {\n    const xhr = new XMLHttpRequest();\n    xhr.open('GET', url);\n    xhr.responseType = 'blob';\n    xhr.onload = function () {\n        saveAs(xhr.response, name, opts);\n    };\n    xhr.onerror = function () {\n        console.error('could not download file');\n    };\n    xhr.send();\n}\nfunction corsEnabled(url) {\n    const xhr = new XMLHttpRequest();\n    // use sync to avoid popup blocker\n    xhr.open('HEAD', url, false);\n    try {\n        xhr.send();\n    }\n    catch (e) { }\n    return xhr.status >= 200 && xhr.status <= 299;\n}\n// `a.click()` doesn't work for all browsers (#465)\nfunction click(node) {\n    try {\n        node.dispatchEvent(new MouseEvent('click'));\n    }\n    catch (e) {\n        const evt = document.createEvent('MouseEvents');\n        evt.initMouseEvent('click', true, true, window, 0, 0, 0, 80, 20, false, false, false, false, 0, null);\n        node.dispatchEvent(evt);\n    }\n}\nconst _navigator = \n typeof navigator === 'object' ? navigator : { userAgent: '' };\n// Detect WebView inside a native macOS app by ruling out all browsers\n// We just need to check for 'Safari' because all other browsers (besides Firefox) include that too\n// https://www.whatismybrowser.com/guides/the-latest-user-agent/macos\nconst isMacOSWebView = /*#__PURE__*/ (() => /Macintosh/.test(_navigator.userAgent) &&\n    /AppleWebKit/.test(_navigator.userAgent) &&\n    !/Safari/.test(_navigator.userAgent))();\nconst saveAs = !IS_CLIENT\n    ? () => { } // noop\n    : // Use download attribute first if possible (#193 Lumia mobile) unless this is a macOS WebView or mini program\n        typeof HTMLAnchorElement !== 'undefined' &&\n            'download' in HTMLAnchorElement.prototype &&\n            !isMacOSWebView\n            ? downloadSaveAs\n            : // Use msSaveOrOpenBlob as a second approach\n                'msSaveOrOpenBlob' in _navigator\n                    ? msSaveAs\n                    : // Fallback to using FileReader and a popup\n                        fileSaverSaveAs;\nfunction downloadSaveAs(blob, name = 'download', opts) {\n    const a = document.createElement('a');\n    a.download = name;\n    a.rel = 'noopener'; // tabnabbing\n    // TODO: detect chrome extensions & packaged apps\n    // a.target = '_blank'\n    if (typeof blob === 'string') {\n        // Support regular links\n        a.href = blob;\n        if (a.origin !== location.origin) {\n            if (corsEnabled(a.href)) {\n                download(blob, name, opts);\n            }\n            else {\n                a.target = '_blank';\n                click(a);\n            }\n        }\n        else {\n            click(a);\n        }\n    }\n    else {\n        // Support blobs\n        a.href = URL.createObjectURL(blob);\n        setTimeout(function () {\n            URL.revokeObjectURL(a.href);\n        }, 4e4); // 40s\n        setTimeout(function () {\n            click(a);\n        }, 0);\n    }\n}\nfunction msSaveAs(blob, name = 'download', opts) {\n    if (typeof blob === 'string') {\n        if (corsEnabled(blob)) {\n            download(blob, name, opts);\n        }\n        else {\n            const a = document.createElement('a');\n            a.href = blob;\n            a.target = '_blank';\n            setTimeout(function () {\n                click(a);\n            });\n        }\n    }\n    else {\n        // @ts-ignore: works on windows\n        navigator.msSaveOrOpenBlob(bom(blob, opts), name);\n    }\n}\nfunction fileSaverSaveAs(blob, name, opts, popup) {\n    // Open a popup immediately do go around popup blocker\n    // Mostly only available on user interaction and the fileReader is async so...\n    popup = popup || open('', '_blank');\n    if (popup) {\n        popup.document.title = popup.document.body.innerText = 'downloading...';\n    }\n    if (typeof blob === 'string')\n        return download(blob, name, opts);\n    const force = blob.type === 'application/octet-stream';\n    const isSafari = /constructor/i.test(String(_global.HTMLElement)) || 'safari' in _global;\n    const isChromeIOS = /CriOS\\/[\\d]+/.test(navigator.userAgent);\n    if ((isChromeIOS || (force && isSafari) || isMacOSWebView) &&\n        typeof FileReader !== 'undefined') {\n        // Safari doesn't allow downloading of blob URLs\n        const reader = new FileReader();\n        reader.onloadend = function () {\n            let url = reader.result;\n            if (typeof url !== 'string') {\n                popup = null;\n                throw new Error('Wrong reader.result type');\n            }\n            url = isChromeIOS\n                ? url\n                : url.replace(/^data:[^;]*;/, 'data:attachment/file;');\n            if (popup) {\n                popup.location.href = url;\n            }\n            else {\n                location.assign(url);\n            }\n            popup = null; // reverse-tabnabbing #460\n        };\n        reader.readAsDataURL(blob);\n    }\n    else {\n        const url = URL.createObjectURL(blob);\n        if (popup)\n            popup.location.assign(url);\n        else\n            location.href = url;\n        popup = null; // reverse-tabnabbing #460\n        setTimeout(function () {\n            URL.revokeObjectURL(url);\n        }, 4e4); // 40s\n    }\n}\n\n/**\n * Shows a toast or console.log\n *\n * @param message - message to log\n * @param type - different color of the tooltip\n */\nfunction toastMessage(message, type) {\n    const piniaMessage = '🍍 ' + message;\n    if (typeof __VUE_DEVTOOLS_TOAST__ === 'function') {\n        // No longer available :(\n        __VUE_DEVTOOLS_TOAST__(piniaMessage, type);\n    }\n    else if (type === 'error') {\n        console.error(piniaMessage);\n    }\n    else if (type === 'warn') {\n        console.warn(piniaMessage);\n    }\n    else {\n        console.log(piniaMessage);\n    }\n}\nfunction isPinia(o) {\n    return '_a' in o && 'install' in o;\n}\n\n/**\n * This file contain devtools actions, they are not Pinia actions.\n */\n// ---\nfunction checkClipboardAccess() {\n    if (!('clipboard' in navigator)) {\n        toastMessage(`Your browser doesn't support the Clipboard API`, 'error');\n        return true;\n    }\n}\nfunction checkNotFocusedError(error) {\n    if (error instanceof Error &&\n        error.message.toLowerCase().includes('document is not focused')) {\n        toastMessage('You need to activate the \"Emulate a focused page\" setting in the \"Rendering\" panel of devtools.', 'warn');\n        return true;\n    }\n    return false;\n}\nasync function actionGlobalCopyState(pinia) {\n    if (checkClipboardAccess())\n        return;\n    try {\n        await navigator.clipboard.writeText(JSON.stringify(pinia.state.value));\n        toastMessage('Global state copied to clipboard.');\n    }\n    catch (error) {\n        if (checkNotFocusedError(error))\n            return;\n        toastMessage(`Failed to serialize the state. Check the console for more details.`, 'error');\n        console.error(error);\n    }\n}\nasync function actionGlobalPasteState(pinia) {\n    if (checkClipboardAccess())\n        return;\n    try {\n        loadStoresState(pinia, JSON.parse(await navigator.clipboard.readText()));\n        toastMessage('Global state pasted from clipboard.');\n    }\n    catch (error) {\n        if (checkNotFocusedError(error))\n            return;\n        toastMessage(`Failed to deserialize the state from clipboard. Check the console for more details.`, 'error');\n        console.error(error);\n    }\n}\nasync function actionGlobalSaveState(pinia) {\n    try {\n        saveAs(new Blob([JSON.stringify(pinia.state.value)], {\n            type: 'text/plain;charset=utf-8',\n        }), 'pinia-state.json');\n    }\n    catch (error) {\n        toastMessage(`Failed to export the state as JSON. Check the console for more details.`, 'error');\n        console.error(error);\n    }\n}\nlet fileInput;\nfunction getFileOpener() {\n    if (!fileInput) {\n        fileInput = document.createElement('input');\n        fileInput.type = 'file';\n        fileInput.accept = '.json';\n    }\n    function openFile() {\n        return new Promise((resolve, reject) => {\n            fileInput.onchange = async () => {\n                const files = fileInput.files;\n                if (!files)\n                    return resolve(null);\n                const file = files.item(0);\n                if (!file)\n                    return resolve(null);\n                return resolve({ text: await file.text(), file });\n            };\n            // @ts-ignore: TODO: changed from 4.3 to 4.4\n            fileInput.oncancel = () => resolve(null);\n            fileInput.onerror = reject;\n            fileInput.click();\n        });\n    }\n    return openFile;\n}\nasync function actionGlobalOpenStateFile(pinia) {\n    try {\n        const open = getFileOpener();\n        const result = await open();\n        if (!result)\n            return;\n        const { text, file } = result;\n        loadStoresState(pinia, JSON.parse(text));\n        toastMessage(`Global state imported from \"${file.name}\".`);\n    }\n    catch (error) {\n        toastMessage(`Failed to import the state from JSON. Check the console for more details.`, 'error');\n        console.error(error);\n    }\n}\nfunction loadStoresState(pinia, state) {\n    for (const key in state) {\n        const storeState = pinia.state.value[key];\n        // store is already instantiated, patch it\n        if (storeState) {\n            Object.assign(storeState, state[key]);\n        }\n        else {\n            // store is not instantiated, set the initial state\n            pinia.state.value[key] = state[key];\n        }\n    }\n}\n\nfunction formatDisplay(display) {\n    return {\n        _custom: {\n            display,\n        },\n    };\n}\nconst PINIA_ROOT_LABEL = '🍍 Pinia (root)';\nconst PINIA_ROOT_ID = '_root';\nfunction formatStoreForInspectorTree(store) {\n    return isPinia(store)\n        ? {\n            id: PINIA_ROOT_ID,\n            label: PINIA_ROOT_LABEL,\n        }\n        : {\n            id: store.$id,\n            label: store.$id,\n        };\n}\nfunction formatStoreForInspectorState(store) {\n    if (isPinia(store)) {\n        const storeNames = Array.from(store._s.keys());\n        const storeMap = store._s;\n        const state = {\n            state: storeNames.map((storeId) => ({\n                editable: true,\n                key: storeId,\n                value: store.state.value[storeId],\n            })),\n            getters: storeNames\n                .filter((id) => storeMap.get(id)._getters)\n                .map((id) => {\n                const store = storeMap.get(id);\n                return {\n                    editable: false,\n                    key: id,\n                    value: store._getters.reduce((getters, key) => {\n                        getters[key] = store[key];\n                        return getters;\n                    }, {}),\n                };\n            }),\n        };\n        return state;\n    }\n    const state = {\n        state: Object.keys(store.$state).map((key) => ({\n            editable: true,\n            key,\n            value: store.$state[key],\n        })),\n    };\n    // avoid adding empty getters\n    if (store._getters && store._getters.length) {\n        state.getters = store._getters.map((getterName) => ({\n            editable: false,\n            key: getterName,\n            value: store[getterName],\n        }));\n    }\n    if (store._customProperties.size) {\n        state.customProperties = Array.from(store._customProperties).map((key) => ({\n            editable: true,\n            key,\n            value: store[key],\n        }));\n    }\n    return state;\n}\nfunction formatEventData(events) {\n    if (!events)\n        return {};\n    if (Array.isArray(events)) {\n        // TODO: handle add and delete for arrays and objects\n        return events.reduce((data, event) => {\n            data.keys.push(event.key);\n            data.operations.push(event.type);\n            data.oldValue[event.key] = event.oldValue;\n            data.newValue[event.key] = event.newValue;\n            return data;\n        }, {\n            oldValue: {},\n            keys: [],\n            operations: [],\n            newValue: {},\n        });\n    }\n    else {\n        return {\n            operation: formatDisplay(events.type),\n            key: formatDisplay(events.key),\n            oldValue: events.oldValue,\n            newValue: events.newValue,\n        };\n    }\n}\nfunction formatMutationType(type) {\n    switch (type) {\n        case MutationType.direct:\n            return 'mutation';\n        case MutationType.patchFunction:\n            return '$patch';\n        case MutationType.patchObject:\n            return '$patch';\n        default:\n            return 'unknown';\n    }\n}\n\n// timeline can be paused when directly changing the state\nlet isTimelineActive = true;\nconst componentStateTypes = [];\nconst MUTATIONS_LAYER_ID = 'pinia:mutations';\nconst INSPECTOR_ID = 'pinia';\nconst { assign: assign$1 } = Object;\n/**\n * Gets the displayed name of a store in devtools\n *\n * @param id - id of the store\n * @returns a formatted string\n */\nconst getStoreType = (id) => '🍍 ' + id;\n/**\n * Add the pinia plugin without any store. Allows displaying a Pinia plugin tab\n * as soon as it is added to the application.\n *\n * @param app - Vue application\n * @param pinia - pinia instance\n */\nfunction registerPiniaDevtools(app, pinia) {\n    setupDevtoolsPlugin({\n        id: 'dev.esm.pinia',\n        label: 'Pinia 🍍',\n        logo: 'https://pinia.vuejs.org/logo.svg',\n        packageName: 'pinia',\n        homepage: 'https://pinia.vuejs.org',\n        componentStateTypes,\n        app,\n    }, (api) => {\n        if (typeof api.now !== 'function') {\n            toastMessage('You seem to be using an outdated version of Vue Devtools. Are you still using the Beta release instead of the stable one? You can find the links at https://devtools.vuejs.org/guide/installation.html.');\n        }\n        api.addTimelineLayer({\n            id: MUTATIONS_LAYER_ID,\n            label: `Pinia 🍍`,\n            color: 0xe5df88,\n        });\n        api.addInspector({\n            id: INSPECTOR_ID,\n            label: 'Pinia 🍍',\n            icon: 'storage',\n            treeFilterPlaceholder: 'Search stores',\n            actions: [\n                {\n                    icon: 'content_copy',\n                    action: () => {\n                        actionGlobalCopyState(pinia);\n                    },\n                    tooltip: 'Serialize and copy the state',\n                },\n                {\n                    icon: 'content_paste',\n                    action: async () => {\n                        await actionGlobalPasteState(pinia);\n                        api.sendInspectorTree(INSPECTOR_ID);\n                        api.sendInspectorState(INSPECTOR_ID);\n                    },\n                    tooltip: 'Replace the state with the content of your clipboard',\n                },\n                {\n                    icon: 'save',\n                    action: () => {\n                        actionGlobalSaveState(pinia);\n                    },\n                    tooltip: 'Save the state as a JSON file',\n                },\n                {\n                    icon: 'folder_open',\n                    action: async () => {\n                        await actionGlobalOpenStateFile(pinia);\n                        api.sendInspectorTree(INSPECTOR_ID);\n                        api.sendInspectorState(INSPECTOR_ID);\n                    },\n                    tooltip: 'Import the state from a JSON file',\n                },\n            ],\n            nodeActions: [\n                {\n                    icon: 'restore',\n                    tooltip: 'Reset the state (with \"$reset\")',\n                    action: (nodeId) => {\n                        const store = pinia._s.get(nodeId);\n                        if (!store) {\n                            toastMessage(`Cannot reset \"${nodeId}\" store because it wasn't found.`, 'warn');\n                        }\n                        else if (typeof store.$reset !== 'function') {\n                            toastMessage(`Cannot reset \"${nodeId}\" store because it doesn't have a \"$reset\" method implemented.`, 'warn');\n                        }\n                        else {\n                            store.$reset();\n                            toastMessage(`Store \"${nodeId}\" reset.`);\n                        }\n                    },\n                },\n            ],\n        });\n        api.on.inspectComponent((payload, ctx) => {\n            const proxy = (payload.componentInstance &&\n                payload.componentInstance.proxy);\n            if (proxy && proxy._pStores) {\n                const piniaStores = payload.componentInstance.proxy._pStores;\n                Object.values(piniaStores).forEach((store) => {\n                    payload.instanceData.state.push({\n                        type: getStoreType(store.$id),\n                        key: 'state',\n                        editable: true,\n                        value: store._isOptionsAPI\n                            ? {\n                                _custom: {\n                                    value: toRaw(store.$state),\n                                    actions: [\n                                        {\n                                            icon: 'restore',\n                                            tooltip: 'Reset the state of this store',\n                                            action: () => store.$reset(),\n                                        },\n                                    ],\n                                },\n                            }\n                            : // NOTE: workaround to unwrap transferred refs\n                                Object.keys(store.$state).reduce((state, key) => {\n                                    state[key] = store.$state[key];\n                                    return state;\n                                }, {}),\n                    });\n                    if (store._getters && store._getters.length) {\n                        payload.instanceData.state.push({\n                            type: getStoreType(store.$id),\n                            key: 'getters',\n                            editable: false,\n                            value: store._getters.reduce((getters, key) => {\n                                try {\n                                    getters[key] = store[key];\n                                }\n                                catch (error) {\n                                    // @ts-expect-error: we just want to show it in devtools\n                                    getters[key] = error;\n                                }\n                                return getters;\n                            }, {}),\n                        });\n                    }\n                });\n            }\n        });\n        api.on.getInspectorTree((payload) => {\n            if (payload.app === app && payload.inspectorId === INSPECTOR_ID) {\n                let stores = [pinia];\n                stores = stores.concat(Array.from(pinia._s.values()));\n                payload.rootNodes = (payload.filter\n                    ? stores.filter((store) => '$id' in store\n                        ? store.$id\n                            .toLowerCase()\n                            .includes(payload.filter.toLowerCase())\n                        : PINIA_ROOT_LABEL.toLowerCase().includes(payload.filter.toLowerCase()))\n                    : stores).map(formatStoreForInspectorTree);\n            }\n        });\n        api.on.getInspectorState((payload) => {\n            if (payload.app === app && payload.inspectorId === INSPECTOR_ID) {\n                const inspectedStore = payload.nodeId === PINIA_ROOT_ID\n                    ? pinia\n                    : pinia._s.get(payload.nodeId);\n                if (!inspectedStore) {\n                    // this could be the selected store restored for a different project\n                    // so it's better not to say anything here\n                    return;\n                }\n                if (inspectedStore) {\n                    payload.state = formatStoreForInspectorState(inspectedStore);\n                }\n            }\n        });\n        api.on.editInspectorState((payload, ctx) => {\n            if (payload.app === app && payload.inspectorId === INSPECTOR_ID) {\n                const inspectedStore = payload.nodeId === PINIA_ROOT_ID\n                    ? pinia\n                    : pinia._s.get(payload.nodeId);\n                if (!inspectedStore) {\n                    return toastMessage(`store \"${payload.nodeId}\" not found`, 'error');\n                }\n                const { path } = payload;\n                if (!isPinia(inspectedStore)) {\n                    // access only the state\n                    if (path.length !== 1 ||\n                        !inspectedStore._customProperties.has(path[0]) ||\n                        path[0] in inspectedStore.$state) {\n                        path.unshift('$state');\n                    }\n                }\n                else {\n                    // Root access, we can omit the `.value` because the devtools API does it for us\n                    path.unshift('state');\n                }\n                isTimelineActive = false;\n                payload.set(inspectedStore, path, payload.state.value);\n                isTimelineActive = true;\n            }\n        });\n        api.on.editComponentState((payload) => {\n            if (payload.type.startsWith('🍍')) {\n                const storeId = payload.type.replace(/^🍍\\s*/, '');\n                const store = pinia._s.get(storeId);\n                if (!store) {\n                    return toastMessage(`store \"${storeId}\" not found`, 'error');\n                }\n                const { path } = payload;\n                if (path[0] !== 'state') {\n                    return toastMessage(`Invalid path for store \"${storeId}\":\\n${path}\\nOnly state can be modified.`);\n                }\n                // rewrite the first entry to be able to directly set the state as\n                // well as any other path\n                path[0] = '$state';\n                isTimelineActive = false;\n                payload.set(store, path, payload.state.value);\n                isTimelineActive = true;\n            }\n        });\n    });\n}\nfunction addStoreToDevtools(app, store) {\n    if (!componentStateTypes.includes(getStoreType(store.$id))) {\n        componentStateTypes.push(getStoreType(store.$id));\n    }\n    setupDevtoolsPlugin({\n        id: 'dev.esm.pinia',\n        label: 'Pinia 🍍',\n        logo: 'https://pinia.vuejs.org/logo.svg',\n        packageName: 'pinia',\n        homepage: 'https://pinia.vuejs.org',\n        componentStateTypes,\n        app,\n        settings: {\n            logStoreChanges: {\n                label: 'Notify about new/deleted stores',\n                type: 'boolean',\n                defaultValue: true,\n            },\n            // useEmojis: {\n            //   label: 'Use emojis in messages ⚡️',\n            //   type: 'boolean',\n            //   defaultValue: true,\n            // },\n        },\n    }, (api) => {\n        // gracefully handle errors\n        const now = typeof api.now === 'function' ? api.now.bind(api) : Date.now;\n        store.$onAction(({ after, onError, name, args }) => {\n            const groupId = runningActionId++;\n            api.addTimelineEvent({\n                layerId: MUTATIONS_LAYER_ID,\n                event: {\n                    time: now(),\n                    title: '🛫 ' + name,\n                    subtitle: 'start',\n                    data: {\n                        store: formatDisplay(store.$id),\n                        action: formatDisplay(name),\n                        args,\n                    },\n                    groupId,\n                },\n            });\n            after((result) => {\n                activeAction = undefined;\n                api.addTimelineEvent({\n                    layerId: MUTATIONS_LAYER_ID,\n                    event: {\n                        time: now(),\n                        title: '🛬 ' + name,\n                        subtitle: 'end',\n                        data: {\n                            store: formatDisplay(store.$id),\n                            action: formatDisplay(name),\n                            args,\n                            result,\n                        },\n                        groupId,\n                    },\n                });\n            });\n            onError((error) => {\n                activeAction = undefined;\n                api.addTimelineEvent({\n                    layerId: MUTATIONS_LAYER_ID,\n                    event: {\n                        time: now(),\n                        logType: 'error',\n                        title: '💥 ' + name,\n                        subtitle: 'end',\n                        data: {\n                            store: formatDisplay(store.$id),\n                            action: formatDisplay(name),\n                            args,\n                            error,\n                        },\n                        groupId,\n                    },\n                });\n            });\n        }, true);\n        store._customProperties.forEach((name) => {\n            watch(() => unref(store[name]), (newValue, oldValue) => {\n                api.notifyComponentUpdate();\n                api.sendInspectorState(INSPECTOR_ID);\n                if (isTimelineActive) {\n                    api.addTimelineEvent({\n                        layerId: MUTATIONS_LAYER_ID,\n                        event: {\n                            time: now(),\n                            title: 'Change',\n                            subtitle: name,\n                            data: {\n                                newValue,\n                                oldValue,\n                            },\n                            groupId: activeAction,\n                        },\n                    });\n                }\n            }, { deep: true });\n        });\n        store.$subscribe(({ events, type }, state) => {\n            api.notifyComponentUpdate();\n            api.sendInspectorState(INSPECTOR_ID);\n            if (!isTimelineActive)\n                return;\n            // rootStore.state[store.id] = state\n            const eventData = {\n                time: now(),\n                title: formatMutationType(type),\n                data: assign$1({ store: formatDisplay(store.$id) }, formatEventData(events)),\n                groupId: activeAction,\n            };\n            if (type === MutationType.patchFunction) {\n                eventData.subtitle = '⤵️';\n            }\n            else if (type === MutationType.patchObject) {\n                eventData.subtitle = '🧩';\n            }\n            else if (events && !Array.isArray(events)) {\n                eventData.subtitle = events.type;\n            }\n            if (events) {\n                eventData.data['rawEvent(s)'] = {\n                    _custom: {\n                        display: 'DebuggerEvent',\n                        type: 'object',\n                        tooltip: 'raw DebuggerEvent[]',\n                        value: events,\n                    },\n                };\n            }\n            api.addTimelineEvent({\n                layerId: MUTATIONS_LAYER_ID,\n                event: eventData,\n            });\n        }, { detached: true, flush: 'sync' });\n        const hotUpdate = store._hotUpdate;\n        store._hotUpdate = markRaw((newStore) => {\n            hotUpdate(newStore);\n            api.addTimelineEvent({\n                layerId: MUTATIONS_LAYER_ID,\n                event: {\n                    time: now(),\n                    title: '🔥 ' + store.$id,\n                    subtitle: 'HMR update',\n                    data: {\n                        store: formatDisplay(store.$id),\n                        info: formatDisplay(`HMR update`),\n                    },\n                },\n            });\n            // update the devtools too\n            api.notifyComponentUpdate();\n            api.sendInspectorTree(INSPECTOR_ID);\n            api.sendInspectorState(INSPECTOR_ID);\n        });\n        const { $dispose } = store;\n        store.$dispose = () => {\n            $dispose();\n            api.notifyComponentUpdate();\n            api.sendInspectorTree(INSPECTOR_ID);\n            api.sendInspectorState(INSPECTOR_ID);\n            api.getSettings().logStoreChanges &&\n                toastMessage(`Disposed \"${store.$id}\" store 🗑`);\n        };\n        // trigger an update so it can display new registered stores\n        api.notifyComponentUpdate();\n        api.sendInspectorTree(INSPECTOR_ID);\n        api.sendInspectorState(INSPECTOR_ID);\n        api.getSettings().logStoreChanges &&\n            toastMessage(`\"${store.$id}\" store installed 🆕`);\n    });\n}\nlet runningActionId = 0;\nlet activeAction;\n/**\n * Patches a store to enable action grouping in devtools by wrapping the store with a Proxy that is passed as the\n * context of all actions, allowing us to set `runningAction` on each access and effectively associating any state\n * mutation to the action.\n *\n * @param store - store to patch\n * @param actionNames - list of actionst to patch\n */\nfunction patchActionForGrouping(store, actionNames, wrapWithProxy) {\n    // original actions of the store as they are given by pinia. We are going to override them\n    const actions = actionNames.reduce((storeActions, actionName) => {\n        // use toRaw to avoid tracking #541\n        storeActions[actionName] = toRaw(store)[actionName];\n        return storeActions;\n    }, {});\n    for (const actionName in actions) {\n        store[actionName] = function () {\n            // the running action id is incremented in a before action hook\n            const _actionId = runningActionId;\n            const trackedStore = wrapWithProxy\n                ? new Proxy(store, {\n                    get(...args) {\n                        activeAction = _actionId;\n                        return Reflect.get(...args);\n                    },\n                    set(...args) {\n                        activeAction = _actionId;\n                        return Reflect.set(...args);\n                    },\n                })\n                : store;\n            // For Setup Stores we need https://github.com/tc39/proposal-async-context\n            activeAction = _actionId;\n            const retValue = actions[actionName].apply(trackedStore, arguments);\n            // this is safer as async actions in Setup Stores would associate mutations done outside of the action\n            activeAction = undefined;\n            return retValue;\n        };\n    }\n}\n/**\n * pinia.use(devtoolsPlugin)\n */\nfunction devtoolsPlugin({ app, store, options }) {\n    // HMR module\n    if (store.$id.startsWith('__hot:')) {\n        return;\n    }\n    // detect option api vs setup api\n    store._isOptionsAPI = !!options.state;\n    patchActionForGrouping(store, Object.keys(options.actions), store._isOptionsAPI);\n    // Upgrade the HMR to also update the new actions\n    const originalHotUpdate = store._hotUpdate;\n    toRaw(store)._hotUpdate = function (newStore) {\n        originalHotUpdate.apply(this, arguments);\n        patchActionForGrouping(store, Object.keys(newStore._hmrPayload.actions), !!store._isOptionsAPI);\n    };\n    addStoreToDevtools(app, \n    // FIXME: is there a way to allow the assignment from Store<Id, S, G, A> to StoreGeneric?\n    store);\n}\n\n/**\n * Creates a Pinia instance to be used by the application\n */\nfunction createPinia() {\n    const scope = effectScope(true);\n    // NOTE: here we could check the window object for a state and directly set it\n    // if there is anything like it with Vue 3 SSR\n    const state = scope.run(() => ref({}));\n    let _p = [];\n    // plugins added before calling app.use(pinia)\n    let toBeInstalled = [];\n    const pinia = markRaw({\n        install(app) {\n            // this allows calling useStore() outside of a component setup after\n            // installing pinia's plugin\n            setActivePinia(pinia);\n            if (!isVue2) {\n                pinia._a = app;\n                app.provide(piniaSymbol, pinia);\n                app.config.globalProperties.$pinia = pinia;\n                /* istanbul ignore else */\n                if (USE_DEVTOOLS) {\n                    registerPiniaDevtools(app, pinia);\n                }\n                toBeInstalled.forEach((plugin) => _p.push(plugin));\n                toBeInstalled = [];\n            }\n        },\n        use(plugin) {\n            if (!this._a && !isVue2) {\n                toBeInstalled.push(plugin);\n            }\n            else {\n                _p.push(plugin);\n            }\n            return this;\n        },\n        _p,\n        // it's actually undefined here\n        // @ts-expect-error\n        _a: null,\n        _e: scope,\n        _s: new Map(),\n        state,\n    });\n    // pinia devtools rely on dev only features so they cannot be forced unless\n    // the dev build of Vue is used. Avoid old browsers like IE11.\n    if (USE_DEVTOOLS && typeof Proxy !== 'undefined') {\n        pinia.use(devtoolsPlugin);\n    }\n    return pinia;\n}\n\n/**\n * Checks if a function is a `StoreDefinition`.\n *\n * @param fn - object to test\n * @returns true if `fn` is a StoreDefinition\n */\nconst isUseStore = (fn) => {\n    return typeof fn === 'function' && typeof fn.$id === 'string';\n};\n/**\n * Mutates in place `newState` with `oldState` to _hot update_ it. It will\n * remove any key not existing in `newState` and recursively merge plain\n * objects.\n *\n * @param newState - new state object to be patched\n * @param oldState - old state that should be used to patch newState\n * @returns - newState\n */\nfunction patchObject(newState, oldState) {\n    // no need to go through symbols because they cannot be serialized anyway\n    for (const key in oldState) {\n        const subPatch = oldState[key];\n        // skip the whole sub tree\n        if (!(key in newState)) {\n            continue;\n        }\n        const targetValue = newState[key];\n        if (isPlainObject(targetValue) &&\n            isPlainObject(subPatch) &&\n            !isRef(subPatch) &&\n            !isReactive(subPatch)) {\n            newState[key] = patchObject(targetValue, subPatch);\n        }\n        else {\n            // objects are either a bit more complex (e.g. refs) or primitives, so we\n            // just set the whole thing\n            if (isVue2) {\n                set(newState, key, subPatch);\n            }\n            else {\n                newState[key] = subPatch;\n            }\n        }\n    }\n    return newState;\n}\n/**\n * Creates an _accept_ function to pass to `import.meta.hot` in Vite applications.\n *\n * @example\n * ```js\n * const useUser = defineStore(...)\n * if (import.meta.hot) {\n *   import.meta.hot.accept(acceptHMRUpdate(useUser, import.meta.hot))\n * }\n * ```\n *\n * @param initialUseStore - return of the defineStore to hot update\n * @param hot - `import.meta.hot`\n */\nfunction acceptHMRUpdate(initialUseStore, hot) {\n    // strip as much as possible from iife.prod\n    if (!(process.env.NODE_ENV !== 'production')) {\n        return () => { };\n    }\n    return (newModule) => {\n        const pinia = hot.data.pinia || initialUseStore._pinia;\n        if (!pinia) {\n            // this store is still not used\n            return;\n        }\n        // preserve the pinia instance across loads\n        hot.data.pinia = pinia;\n        // console.log('got data', newStore)\n        for (const exportName in newModule) {\n            const useStore = newModule[exportName];\n            // console.log('checking for', exportName)\n            if (isUseStore(useStore) && pinia._s.has(useStore.$id)) {\n                // console.log('Accepting update for', useStore.$id)\n                const id = useStore.$id;\n                if (id !== initialUseStore.$id) {\n                    console.warn(`The id of the store changed from \"${initialUseStore.$id}\" to \"${id}\". Reloading.`);\n                    // return import.meta.hot.invalidate()\n                    return hot.invalidate();\n                }\n                const existingStore = pinia._s.get(id);\n                if (!existingStore) {\n                    console.log(`[Pinia]: skipping hmr because store doesn't exist yet`);\n                    return;\n                }\n                useStore(pinia, existingStore);\n            }\n        }\n    };\n}\n\nconst noop = () => { };\nfunction addSubscription(subscriptions, callback, detached, onCleanup = noop) {\n    subscriptions.push(callback);\n    const removeSubscription = () => {\n        const idx = subscriptions.indexOf(callback);\n        if (idx > -1) {\n            subscriptions.splice(idx, 1);\n            onCleanup();\n        }\n    };\n    if (!detached && getCurrentScope()) {\n        onScopeDispose(removeSubscription);\n    }\n    return removeSubscription;\n}\nfunction triggerSubscriptions(subscriptions, ...args) {\n    subscriptions.slice().forEach((callback) => {\n        callback(...args);\n    });\n}\n\nconst fallbackRunWithContext = (fn) => fn();\nfunction mergeReactiveObjects(target, patchToApply) {\n    // Handle Map instances\n    if (target instanceof Map && patchToApply instanceof Map) {\n        patchToApply.forEach((value, key) => target.set(key, value));\n    }\n    // Handle Set instances\n    if (target instanceof Set && patchToApply instanceof Set) {\n        patchToApply.forEach(target.add, target);\n    }\n    // no need to go through symbols because they cannot be serialized anyway\n    for (const key in patchToApply) {\n        if (!patchToApply.hasOwnProperty(key))\n            continue;\n        const subPatch = patchToApply[key];\n        const targetValue = target[key];\n        if (isPlainObject(targetValue) &&\n            isPlainObject(subPatch) &&\n            target.hasOwnProperty(key) &&\n            !isRef(subPatch) &&\n            !isReactive(subPatch)) {\n            // NOTE: here I wanted to warn about inconsistent types but it's not possible because in setup stores one might\n            // start the value of a property as a certain type e.g. a Map, and then for some reason, during SSR, change that\n            // to `undefined`. When trying to hydrate, we want to override the Map with `undefined`.\n            target[key] = mergeReactiveObjects(targetValue, subPatch);\n        }\n        else {\n            // @ts-expect-error: subPatch is a valid value\n            target[key] = subPatch;\n        }\n    }\n    return target;\n}\nconst skipHydrateSymbol = (process.env.NODE_ENV !== 'production')\n    ? Symbol('pinia:skipHydration')\n    : /* istanbul ignore next */ Symbol();\nconst skipHydrateMap = /*#__PURE__*/ new WeakMap();\n/**\n * Tells Pinia to skip the hydration process of a given object. This is useful in setup stores (only) when you return a\n * stateful object in the store but it isn't really state. e.g. returning a router instance in a setup store.\n *\n * @param obj - target object\n * @returns obj\n */\nfunction skipHydrate(obj) {\n    return isVue2\n        ? // in @vue/composition-api, the refs are sealed so defineProperty doesn't work...\n            /* istanbul ignore next */ skipHydrateMap.set(obj, 1) && obj\n        : Object.defineProperty(obj, skipHydrateSymbol, {});\n}\n/**\n * Returns whether a value should be hydrated\n *\n * @param obj - target variable\n * @returns true if `obj` should be hydrated\n */\nfunction shouldHydrate(obj) {\n    return isVue2\n        ? /* istanbul ignore next */ !skipHydrateMap.has(obj)\n        : !isPlainObject(obj) || !obj.hasOwnProperty(skipHydrateSymbol);\n}\nconst { assign } = Object;\nfunction isComputed(o) {\n    return !!(isRef(o) && o.effect);\n}\nfunction createOptionsStore(id, options, pinia, hot) {\n    const { state, actions, getters } = options;\n    const initialState = pinia.state.value[id];\n    let store;\n    function setup() {\n        if (!initialState && (!(process.env.NODE_ENV !== 'production') || !hot)) {\n            /* istanbul ignore if */\n            if (isVue2) {\n                set(pinia.state.value, id, state ? state() : {});\n            }\n            else {\n                pinia.state.value[id] = state ? state() : {};\n            }\n        }\n        // avoid creating a state in pinia.state.value\n        const localState = (process.env.NODE_ENV !== 'production') && hot\n            ? // use ref() to unwrap refs inside state TODO: check if this is still necessary\n                toRefs(ref(state ? state() : {}).value)\n            : toRefs(pinia.state.value[id]);\n        return assign(localState, actions, Object.keys(getters || {}).reduce((computedGetters, name) => {\n            if ((process.env.NODE_ENV !== 'production') && name in localState) {\n                console.warn(`[🍍]: A getter cannot have the same name as another state property. Rename one of them. Found with \"${name}\" in store \"${id}\".`);\n            }\n            computedGetters[name] = markRaw(computed(() => {\n                setActivePinia(pinia);\n                // it was created just before\n                const store = pinia._s.get(id);\n                // allow cross using stores\n                /* istanbul ignore next */\n                if (isVue2 && !store._r)\n                    return;\n                // @ts-expect-error\n                // return getters![name].call(context, context)\n                // TODO: avoid reading the getter while assigning with a global variable\n                return getters[name].call(store, store);\n            }));\n            return computedGetters;\n        }, {}));\n    }\n    store = createSetupStore(id, setup, options, pinia, hot, true);\n    return store;\n}\nfunction createSetupStore($id, setup, options = {}, pinia, hot, isOptionsStore) {\n    let scope;\n    const optionsForPlugin = assign({ actions: {} }, options);\n    /* istanbul ignore if */\n    if ((process.env.NODE_ENV !== 'production') && !pinia._e.active) {\n        throw new Error('Pinia destroyed');\n    }\n    // watcher options for $subscribe\n    const $subscribeOptions = {\n        deep: true,\n        // flush: 'post',\n    };\n    /* istanbul ignore else */\n    if ((process.env.NODE_ENV !== 'production') && !isVue2) {\n        $subscribeOptions.onTrigger = (event) => {\n            /* istanbul ignore else */\n            if (isListening) {\n                debuggerEvents = event;\n                // avoid triggering this while the store is being built and the state is being set in pinia\n            }\n            else if (isListening == false && !store._hotUpdating) {\n                // let patch send all the events together later\n                /* istanbul ignore else */\n                if (Array.isArray(debuggerEvents)) {\n                    debuggerEvents.push(event);\n                }\n                else {\n                    console.error('🍍 debuggerEvents should be an array. This is most likely an internal Pinia bug.');\n                }\n            }\n        };\n    }\n    // internal state\n    let isListening; // set to true at the end\n    let isSyncListening; // set to true at the end\n    let subscriptions = [];\n    let actionSubscriptions = [];\n    let debuggerEvents;\n    const initialState = pinia.state.value[$id];\n    // avoid setting the state for option stores if it is set\n    // by the setup\n    if (!isOptionsStore && !initialState && (!(process.env.NODE_ENV !== 'production') || !hot)) {\n        /* istanbul ignore if */\n        if (isVue2) {\n            set(pinia.state.value, $id, {});\n        }\n        else {\n            pinia.state.value[$id] = {};\n        }\n    }\n    const hotState = ref({});\n    // avoid triggering too many listeners\n    // https://github.com/vuejs/pinia/issues/1129\n    let activeListener;\n    function $patch(partialStateOrMutator) {\n        let subscriptionMutation;\n        isListening = isSyncListening = false;\n        // reset the debugger events since patches are sync\n        /* istanbul ignore else */\n        if ((process.env.NODE_ENV !== 'production')) {\n            debuggerEvents = [];\n        }\n        if (typeof partialStateOrMutator === 'function') {\n            partialStateOrMutator(pinia.state.value[$id]);\n            subscriptionMutation = {\n                type: MutationType.patchFunction,\n                storeId: $id,\n                events: debuggerEvents,\n            };\n        }\n        else {\n            mergeReactiveObjects(pinia.state.value[$id], partialStateOrMutator);\n            subscriptionMutation = {\n                type: MutationType.patchObject,\n                payload: partialStateOrMutator,\n                storeId: $id,\n                events: debuggerEvents,\n            };\n        }\n        const myListenerId = (activeListener = Symbol());\n        nextTick().then(() => {\n            if (activeListener === myListenerId) {\n                isListening = true;\n            }\n        });\n        isSyncListening = true;\n        // because we paused the watcher, we need to manually call the subscriptions\n        triggerSubscriptions(subscriptions, subscriptionMutation, pinia.state.value[$id]);\n    }\n    const $reset = isOptionsStore\n        ? function $reset() {\n            const { state } = options;\n            const newState = state ? state() : {};\n            // we use a patch to group all changes into one single subscription\n            this.$patch(($state) => {\n                assign($state, newState);\n            });\n        }\n        : /* istanbul ignore next */\n            (process.env.NODE_ENV !== 'production')\n                ? () => {\n                    throw new Error(`🍍: Store \"${$id}\" is built using the setup syntax and does not implement $reset().`);\n                }\n                : noop;\n    function $dispose() {\n        scope.stop();\n        subscriptions = [];\n        actionSubscriptions = [];\n        pinia._s.delete($id);\n    }\n    /**\n     * Wraps an action to handle subscriptions.\n     *\n     * @param name - name of the action\n     * @param action - action to wrap\n     * @returns a wrapped action to handle subscriptions\n     */\n    function wrapAction(name, action) {\n        return function () {\n            setActivePinia(pinia);\n            const args = Array.from(arguments);\n            const afterCallbackList = [];\n            const onErrorCallbackList = [];\n            function after(callback) {\n                afterCallbackList.push(callback);\n            }\n            function onError(callback) {\n                onErrorCallbackList.push(callback);\n            }\n            // @ts-expect-error\n            triggerSubscriptions(actionSubscriptions, {\n                args,\n                name,\n                store,\n                after,\n                onError,\n            });\n            let ret;\n            try {\n                ret = action.apply(this && this.$id === $id ? this : store, args);\n                // handle sync errors\n            }\n            catch (error) {\n                triggerSubscriptions(onErrorCallbackList, error);\n                throw error;\n            }\n            if (ret instanceof Promise) {\n                return ret\n                    .then((value) => {\n                    triggerSubscriptions(afterCallbackList, value);\n                    return value;\n                })\n                    .catch((error) => {\n                    triggerSubscriptions(onErrorCallbackList, error);\n                    return Promise.reject(error);\n                });\n            }\n            // trigger after callbacks\n            triggerSubscriptions(afterCallbackList, ret);\n            return ret;\n        };\n    }\n    const _hmrPayload = /*#__PURE__*/ markRaw({\n        actions: {},\n        getters: {},\n        state: [],\n        hotState,\n    });\n    const partialStore = {\n        _p: pinia,\n        // _s: scope,\n        $id,\n        $onAction: addSubscription.bind(null, actionSubscriptions),\n        $patch,\n        $reset,\n        $subscribe(callback, options = {}) {\n            const removeSubscription = addSubscription(subscriptions, callback, options.detached, () => stopWatcher());\n            const stopWatcher = scope.run(() => watch(() => pinia.state.value[$id], (state) => {\n                if (options.flush === 'sync' ? isSyncListening : isListening) {\n                    callback({\n                        storeId: $id,\n                        type: MutationType.direct,\n                        events: debuggerEvents,\n                    }, state);\n                }\n            }, assign({}, $subscribeOptions, options)));\n            return removeSubscription;\n        },\n        $dispose,\n    };\n    /* istanbul ignore if */\n    if (isVue2) {\n        // start as non ready\n        partialStore._r = false;\n    }\n    const store = reactive((process.env.NODE_ENV !== 'production') || USE_DEVTOOLS\n        ? assign({\n            _hmrPayload,\n            _customProperties: markRaw(new Set()), // devtools custom properties\n        }, partialStore\n        // must be added later\n        // setupStore\n        )\n        : partialStore);\n    // store the partial store now so the setup of stores can instantiate each other before they are finished without\n    // creating infinite loops.\n    pinia._s.set($id, store);\n    const runWithContext = (pinia._a && pinia._a.runWithContext) || fallbackRunWithContext;\n    // TODO: idea create skipSerialize that marks properties as non serializable and they are skipped\n    const setupStore = runWithContext(() => pinia._e.run(() => (scope = effectScope()).run(setup)));\n    // overwrite existing actions to support $onAction\n    for (const key in setupStore) {\n        const prop = setupStore[key];\n        if ((isRef(prop) && !isComputed(prop)) || isReactive(prop)) {\n            // mark it as a piece of state to be serialized\n            if ((process.env.NODE_ENV !== 'production') && hot) {\n                set(hotState.value, key, toRef(setupStore, key));\n                // createOptionStore directly sets the state in pinia.state.value so we\n                // can just skip that\n            }\n            else if (!isOptionsStore) {\n                // in setup stores we must hydrate the state and sync pinia state tree with the refs the user just created\n                if (initialState && shouldHydrate(prop)) {\n                    if (isRef(prop)) {\n                        prop.value = initialState[key];\n                    }\n                    else {\n                        // probably a reactive object, lets recursively assign\n                        // @ts-expect-error: prop is unknown\n                        mergeReactiveObjects(prop, initialState[key]);\n                    }\n                }\n                // transfer the ref to the pinia state to keep everything in sync\n                /* istanbul ignore if */\n                if (isVue2) {\n                    set(pinia.state.value[$id], key, prop);\n                }\n                else {\n                    pinia.state.value[$id][key] = prop;\n                }\n            }\n            /* istanbul ignore else */\n            if ((process.env.NODE_ENV !== 'production')) {\n                _hmrPayload.state.push(key);\n            }\n            // action\n        }\n        else if (typeof prop === 'function') {\n            // @ts-expect-error: we are overriding the function we avoid wrapping if\n            const actionValue = (process.env.NODE_ENV !== 'production') && hot ? prop : wrapAction(key, prop);\n            // this a hot module replacement store because the hotUpdate method needs\n            // to do it with the right context\n            /* istanbul ignore if */\n            if (isVue2) {\n                set(setupStore, key, actionValue);\n            }\n            else {\n                // @ts-expect-error\n                setupStore[key] = actionValue;\n            }\n            /* istanbul ignore else */\n            if ((process.env.NODE_ENV !== 'production')) {\n                _hmrPayload.actions[key] = prop;\n            }\n            // list actions so they can be used in plugins\n            // @ts-expect-error\n            optionsForPlugin.actions[key] = prop;\n        }\n        else if ((process.env.NODE_ENV !== 'production')) {\n            // add getters for devtools\n            if (isComputed(prop)) {\n                _hmrPayload.getters[key] = isOptionsStore\n                    ? // @ts-expect-error\n                        options.getters[key]\n                    : prop;\n                if (IS_CLIENT) {\n                    const getters = setupStore._getters ||\n                        // @ts-expect-error: same\n                        (setupStore._getters = markRaw([]));\n                    getters.push(key);\n                }\n            }\n        }\n    }\n    // add the state, getters, and action properties\n    /* istanbul ignore if */\n    if (isVue2) {\n        Object.keys(setupStore).forEach((key) => {\n            set(store, key, setupStore[key]);\n        });\n    }\n    else {\n        assign(store, setupStore);\n        // allows retrieving reactive objects with `storeToRefs()`. Must be called after assigning to the reactive object.\n        // Make `storeToRefs()` work with `reactive()` #799\n        assign(toRaw(store), setupStore);\n    }\n    // use this instead of a computed with setter to be able to create it anywhere\n    // without linking the computed lifespan to wherever the store is first\n    // created.\n    Object.defineProperty(store, '$state', {\n        get: () => ((process.env.NODE_ENV !== 'production') && hot ? hotState.value : pinia.state.value[$id]),\n        set: (state) => {\n            /* istanbul ignore if */\n            if ((process.env.NODE_ENV !== 'production') && hot) {\n                throw new Error('cannot set hotState');\n            }\n            $patch(($state) => {\n                assign($state, state);\n            });\n        },\n    });\n    // add the hotUpdate before plugins to allow them to override it\n    /* istanbul ignore else */\n    if ((process.env.NODE_ENV !== 'production')) {\n        store._hotUpdate = markRaw((newStore) => {\n            store._hotUpdating = true;\n            newStore._hmrPayload.state.forEach((stateKey) => {\n                if (stateKey in store.$state) {\n                    const newStateTarget = newStore.$state[stateKey];\n                    const oldStateSource = store.$state[stateKey];\n                    if (typeof newStateTarget === 'object' &&\n                        isPlainObject(newStateTarget) &&\n                        isPlainObject(oldStateSource)) {\n                        patchObject(newStateTarget, oldStateSource);\n                    }\n                    else {\n                        // transfer the ref\n                        newStore.$state[stateKey] = oldStateSource;\n                    }\n                }\n                // patch direct access properties to allow store.stateProperty to work as\n                // store.$state.stateProperty\n                set(store, stateKey, toRef(newStore.$state, stateKey));\n            });\n            // remove deleted state properties\n            Object.keys(store.$state).forEach((stateKey) => {\n                if (!(stateKey in newStore.$state)) {\n                    del(store, stateKey);\n                }\n            });\n            // avoid devtools logging this as a mutation\n            isListening = false;\n            isSyncListening = false;\n            pinia.state.value[$id] = toRef(newStore._hmrPayload, 'hotState');\n            isSyncListening = true;\n            nextTick().then(() => {\n                isListening = true;\n            });\n            for (const actionName in newStore._hmrPayload.actions) {\n                const action = newStore[actionName];\n                set(store, actionName, wrapAction(actionName, action));\n            }\n            // TODO: does this work in both setup and option store?\n            for (const getterName in newStore._hmrPayload.getters) {\n                const getter = newStore._hmrPayload.getters[getterName];\n                const getterValue = isOptionsStore\n                    ? // special handling of options api\n                        computed(() => {\n                            setActivePinia(pinia);\n                            return getter.call(store, store);\n                        })\n                    : getter;\n                set(store, getterName, getterValue);\n            }\n            // remove deleted getters\n            Object.keys(store._hmrPayload.getters).forEach((key) => {\n                if (!(key in newStore._hmrPayload.getters)) {\n                    del(store, key);\n                }\n            });\n            // remove old actions\n            Object.keys(store._hmrPayload.actions).forEach((key) => {\n                if (!(key in newStore._hmrPayload.actions)) {\n                    del(store, key);\n                }\n            });\n            // update the values used in devtools and to allow deleting new properties later on\n            store._hmrPayload = newStore._hmrPayload;\n            store._getters = newStore._getters;\n            store._hotUpdating = false;\n        });\n    }\n    if (USE_DEVTOOLS) {\n        const nonEnumerable = {\n            writable: true,\n            configurable: true,\n            // avoid warning on devtools trying to display this property\n            enumerable: false,\n        };\n        ['_p', '_hmrPayload', '_getters', '_customProperties'].forEach((p) => {\n            Object.defineProperty(store, p, assign({ value: store[p] }, nonEnumerable));\n        });\n    }\n    /* istanbul ignore if */\n    if (isVue2) {\n        // mark the store as ready before plugins\n        store._r = true;\n    }\n    // apply all plugins\n    pinia._p.forEach((extender) => {\n        /* istanbul ignore else */\n        if (USE_DEVTOOLS) {\n            const extensions = scope.run(() => extender({\n                store,\n                app: pinia._a,\n                pinia,\n                options: optionsForPlugin,\n            }));\n            Object.keys(extensions || {}).forEach((key) => store._customProperties.add(key));\n            assign(store, extensions);\n        }\n        else {\n            assign(store, scope.run(() => extender({\n                store,\n                app: pinia._a,\n                pinia,\n                options: optionsForPlugin,\n            })));\n        }\n    });\n    if ((process.env.NODE_ENV !== 'production') &&\n        store.$state &&\n        typeof store.$state === 'object' &&\n        typeof store.$state.constructor === 'function' &&\n        !store.$state.constructor.toString().includes('[native code]')) {\n        console.warn(`[🍍]: The \"state\" must be a plain object. It cannot be\\n` +\n            `\\tstate: () => new MyClass()\\n` +\n            `Found in store \"${store.$id}\".`);\n    }\n    // only apply hydrate to option stores with an initial state in pinia\n    if (initialState &&\n        isOptionsStore &&\n        options.hydrate) {\n        options.hydrate(store.$state, initialState);\n    }\n    isListening = true;\n    isSyncListening = true;\n    return store;\n}\nfunction defineStore(\n// TODO: add proper types from above\nidOrOptions, setup, setupOptions) {\n    let id;\n    let options;\n    const isSetupStore = typeof setup === 'function';\n    if (typeof idOrOptions === 'string') {\n        id = idOrOptions;\n        // the option store setup will contain the actual options in this case\n        options = isSetupStore ? setupOptions : setup;\n    }\n    else {\n        options = idOrOptions;\n        id = idOrOptions.id;\n        if ((process.env.NODE_ENV !== 'production') && typeof id !== 'string') {\n            throw new Error(`[🍍]: \"defineStore()\" must be passed a store id as its first argument.`);\n        }\n    }\n    function useStore(pinia, hot) {\n        const hasContext = hasInjectionContext();\n        pinia =\n            // in test mode, ignore the argument provided as we can always retrieve a\n            // pinia instance with getActivePinia()\n            ((process.env.NODE_ENV === 'test') && activePinia && activePinia._testing ? null : pinia) ||\n                (hasContext ? inject(piniaSymbol, null) : null);\n        if (pinia)\n            setActivePinia(pinia);\n        if ((process.env.NODE_ENV !== 'production') && !activePinia) {\n            throw new Error(`[🍍]: \"getActivePinia()\" was called but there was no active Pinia. Are you trying to use a store before calling \"app.use(pinia)\"?\\n` +\n                `See https://pinia.vuejs.org/core-concepts/outside-component-usage.html for help.\\n` +\n                `This will fail in production.`);\n        }\n        pinia = activePinia;\n        if (!pinia._s.has(id)) {\n            // creating the store registers it in `pinia._s`\n            if (isSetupStore) {\n                createSetupStore(id, setup, options, pinia);\n            }\n            else {\n                createOptionsStore(id, options, pinia);\n            }\n            /* istanbul ignore else */\n            if ((process.env.NODE_ENV !== 'production')) {\n                // @ts-expect-error: not the right inferred type\n                useStore._pinia = pinia;\n            }\n        }\n        const store = pinia._s.get(id);\n        if ((process.env.NODE_ENV !== 'production') && hot) {\n            const hotId = '__hot:' + id;\n            const newStore = isSetupStore\n                ? createSetupStore(hotId, setup, options, pinia, true)\n                : createOptionsStore(hotId, assign({}, options), pinia, true);\n            hot._hotUpdate(newStore);\n            // cleanup the state properties and the store from the cache\n            delete pinia.state.value[hotId];\n            pinia._s.delete(hotId);\n        }\n        if ((process.env.NODE_ENV !== 'production') && IS_CLIENT) {\n            const currentInstance = getCurrentInstance();\n            // save stores in instances to access them devtools\n            if (currentInstance &&\n                currentInstance.proxy &&\n                // avoid adding stores that are just built for hot module replacement\n                !hot) {\n                const vm = currentInstance.proxy;\n                const cache = '_pStores' in vm ? vm._pStores : (vm._pStores = {});\n                cache[id] = store;\n            }\n        }\n        // StoreGeneric cannot be casted towards Store\n        return store;\n    }\n    useStore.$id = id;\n    return useStore;\n}\n\nlet mapStoreSuffix = 'Store';\n/**\n * Changes the suffix added by `mapStores()`. Can be set to an empty string.\n * Defaults to `\"Store\"`. Make sure to extend the MapStoresCustomization\n * interface if you are using TypeScript.\n *\n * @param suffix - new suffix\n */\nfunction setMapStoreSuffix(suffix // could be 'Store' but that would be annoying for JS\n) {\n    mapStoreSuffix = suffix;\n}\n/**\n * Allows using stores without the composition API (`setup()`) by generating an\n * object to be spread in the `computed` field of a component. It accepts a list\n * of store definitions.\n *\n * @example\n * ```js\n * export default {\n *   computed: {\n *     // other computed properties\n *     ...mapStores(useUserStore, useCartStore)\n *   },\n *\n *   created() {\n *     this.userStore // store with id \"user\"\n *     this.cartStore // store with id \"cart\"\n *   }\n * }\n * ```\n *\n * @param stores - list of stores to map to an object\n */\nfunction mapStores(...stores) {\n    if ((process.env.NODE_ENV !== 'production') && Array.isArray(stores[0])) {\n        console.warn(`[🍍]: Directly pass all stores to \"mapStores()\" without putting them in an array:\\n` +\n            `Replace\\n` +\n            `\\tmapStores([useAuthStore, useCartStore])\\n` +\n            `with\\n` +\n            `\\tmapStores(useAuthStore, useCartStore)\\n` +\n            `This will fail in production if not fixed.`);\n        stores = stores[0];\n    }\n    return stores.reduce((reduced, useStore) => {\n        // @ts-expect-error: $id is added by defineStore\n        reduced[useStore.$id + mapStoreSuffix] = function () {\n            return useStore(this.$pinia);\n        };\n        return reduced;\n    }, {});\n}\n/**\n * Allows using state and getters from one store without using the composition\n * API (`setup()`) by generating an object to be spread in the `computed` field\n * of a component.\n *\n * @param useStore - store to map from\n * @param keysOrMapper - array or object\n */\nfunction mapState(useStore, keysOrMapper) {\n    return Array.isArray(keysOrMapper)\n        ? keysOrMapper.reduce((reduced, key) => {\n            reduced[key] = function () {\n                return useStore(this.$pinia)[key];\n            };\n            return reduced;\n        }, {})\n        : Object.keys(keysOrMapper).reduce((reduced, key) => {\n            // @ts-expect-error\n            reduced[key] = function () {\n                const store = useStore(this.$pinia);\n                const storeKey = keysOrMapper[key];\n                // for some reason TS is unable to infer the type of storeKey to be a\n                // function\n                return typeof storeKey === 'function'\n                    ? storeKey.call(this, store)\n                    : store[storeKey];\n            };\n            return reduced;\n        }, {});\n}\n/**\n * Alias for `mapState()`. You should use `mapState()` instead.\n * @deprecated use `mapState()` instead.\n */\nconst mapGetters = mapState;\n/**\n * Allows directly using actions from your store without using the composition\n * API (`setup()`) by generating an object to be spread in the `methods` field\n * of a component.\n *\n * @param useStore - store to map from\n * @param keysOrMapper - array or object\n */\nfunction mapActions(useStore, keysOrMapper) {\n    return Array.isArray(keysOrMapper)\n        ? keysOrMapper.reduce((reduced, key) => {\n            // @ts-expect-error\n            reduced[key] = function (...args) {\n                return useStore(this.$pinia)[key](...args);\n            };\n            return reduced;\n        }, {})\n        : Object.keys(keysOrMapper).reduce((reduced, key) => {\n            // @ts-expect-error\n            reduced[key] = function (...args) {\n                return useStore(this.$pinia)[keysOrMapper[key]](...args);\n            };\n            return reduced;\n        }, {});\n}\n/**\n * Allows using state and getters from one store without using the composition\n * API (`setup()`) by generating an object to be spread in the `computed` field\n * of a component.\n *\n * @param useStore - store to map from\n * @param keysOrMapper - array or object\n */\nfunction mapWritableState(useStore, keysOrMapper) {\n    return Array.isArray(keysOrMapper)\n        ? keysOrMapper.reduce((reduced, key) => {\n            // @ts-ignore\n            reduced[key] = {\n                get() {\n                    return useStore(this.$pinia)[key];\n                },\n                set(value) {\n                    // it's easier to type it here as any\n                    return (useStore(this.$pinia)[key] = value);\n                },\n            };\n            return reduced;\n        }, {})\n        : Object.keys(keysOrMapper).reduce((reduced, key) => {\n            // @ts-ignore\n            reduced[key] = {\n                get() {\n                    return useStore(this.$pinia)[keysOrMapper[key]];\n                },\n                set(value) {\n                    // it's easier to type it here as any\n                    return (useStore(this.$pinia)[keysOrMapper[key]] = value);\n                },\n            };\n            return reduced;\n        }, {});\n}\n\n/**\n * Creates an object of references with all the state, getters, and plugin-added\n * state properties of the store. Similar to `toRefs()` but specifically\n * designed for Pinia stores so methods and non reactive properties are\n * completely ignored.\n *\n * @param store - store to extract the refs from\n */\nfunction storeToRefs(store) {\n    // See https://github.com/vuejs/pinia/issues/852\n    // It's easier to just use toRefs() even if it includes more stuff\n    if (isVue2) {\n        // @ts-expect-error: toRefs include methods and others\n        return toRefs(store);\n    }\n    else {\n        store = toRaw(store);\n        const refs = {};\n        for (const key in store) {\n            const value = store[key];\n            if (isRef(value) || isReactive(value)) {\n                // @ts-expect-error: the key is state or getter\n                refs[key] =\n                    // ---\n                    toRef(store, key);\n            }\n        }\n        return refs;\n    }\n}\n\n/**\n * Vue 2 Plugin that must be installed for pinia to work. Note **you don't need\n * this plugin if you are using Nuxt.js**. Use the `buildModule` instead:\n * https://pinia.vuejs.org/ssr/nuxt.html.\n *\n * @example\n * ```js\n * import Vue from 'vue'\n * import { PiniaVuePlugin, createPinia } from 'pinia'\n *\n * Vue.use(PiniaVuePlugin)\n * const pinia = createPinia()\n *\n * new Vue({\n *   el: '#app',\n *   // ...\n *   pinia,\n * })\n * ```\n *\n * @param _Vue - `Vue` imported from 'vue'.\n */\nconst PiniaVuePlugin = function (_Vue) {\n    // Equivalent of\n    // app.config.globalProperties.$pinia = pinia\n    _Vue.mixin({\n        beforeCreate() {\n            const options = this.$options;\n            if (options.pinia) {\n                const pinia = options.pinia;\n                // HACK: taken from provide(): https://github.com/vuejs/composition-api/blob/main/src/apis/inject.ts#L31\n                /* istanbul ignore else */\n                if (!this._provided) {\n                    const provideCache = {};\n                    Object.defineProperty(this, '_provided', {\n                        get: () => provideCache,\n                        set: (v) => Object.assign(provideCache, v),\n                    });\n                }\n                this._provided[piniaSymbol] = pinia;\n                // propagate the pinia instance in an SSR friendly way\n                // avoid adding it to nuxt twice\n                /* istanbul ignore else */\n                if (!this.$pinia) {\n                    this.$pinia = pinia;\n                }\n                pinia._a = this;\n                if (IS_CLIENT) {\n                    // this allows calling useStore() outside of a component setup after\n                    // installing pinia's plugin\n                    setActivePinia(pinia);\n                }\n                if (USE_DEVTOOLS) {\n                    registerPiniaDevtools(pinia._a, pinia);\n                }\n            }\n            else if (!this.$pinia && options.parent && options.parent.$pinia) {\n                this.$pinia = options.parent.$pinia;\n            }\n        },\n        destroyed() {\n            delete this._pStores;\n        },\n    });\n};\n\nexport { MutationType, PiniaVuePlugin, acceptHMRUpdate, createPinia, defineStore, getActivePinia, mapActions, mapGetters, mapState, mapStores, mapWritableState, setActivePinia, setMapStoreSuffix, skipHydrate, storeToRefs };\n","/**\n * TODO: Migrate scripts/ui/settings.ts here\n *\n * Currently the reactive settings act as a proxy of the legacy settings.\n * Every time a setting is changed, the settingStore dispatch the change to the\n * legacy settings. Every time the legacy settings are changed, the legacy\n * settings directly updates the settingStore.settingValues.\n */\n\nimport { app } from '@/scripts/app'\nimport { ComfySettingsDialog } from '@/scripts/ui/settings'\nimport { Settings } from '@/types/apiTypes'\nimport { LinkReleaseTriggerMode } from '@/types/searchBoxTypes'\nimport { SettingParams } from '@/types/settingTypes'\nimport { buildTree } from '@/utils/treeUtil'\nimport { defineStore } from 'pinia'\nimport type { TreeNode } from 'primevue/treenode'\n\nexport interface SettingTreeNode extends TreeNode {\n  data?: SettingParams\n}\n\ninterface State {\n  settingValues: Record<string, any>\n  settings: Record<string, SettingParams>\n}\n\nexport const useSettingStore = defineStore('setting', {\n  state: (): State => ({\n    settingValues: {},\n    settings: {}\n  }),\n  getters: {\n    // Setting tree structure used for the settings dialog display.\n    settingTree(): SettingTreeNode {\n      const root = buildTree(\n        Object.values(this.settings).filter(\n          (setting: SettingParams) => setting.type !== 'hidden'\n        ),\n        (setting: SettingParams) => setting.category || setting.id.split('.')\n      )\n\n      const floatingSettings = root.children.filter((node) => node.leaf)\n      if (floatingSettings.length) {\n        root.children = root.children.filter((node) => !node.leaf)\n        root.children.push({\n          key: 'Other',\n          label: 'Other',\n          leaf: false,\n          children: floatingSettings\n        })\n      }\n\n      return root\n    }\n  },\n  actions: {\n    addSettings(settings: ComfySettingsDialog) {\n      for (const id in settings.settingsLookup) {\n        const value = settings.getSettingValue(id)\n        this.settingValues[id] = value\n      }\n      this.settings = settings.settingsParamLookup\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Validation.Workflows',\n        name: 'Validate workflows',\n        type: 'boolean',\n        defaultValue: true\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.NodeSearchBoxImpl',\n        category: ['Comfy', 'Node Search Box', 'Implementation'],\n        experimental: true,\n        name: 'Node search box implementation',\n        type: 'combo',\n        options: ['default', 'litegraph (legacy)'],\n        defaultValue: 'default'\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.NodeSearchBoxImpl.LinkReleaseTrigger',\n        category: ['Comfy', 'Node Search Box', 'LinkReleaseTrigger'],\n        name: 'Trigger on link release',\n        tooltip: 'Only applies to the default implementation',\n        type: 'combo',\n        options: Object.values(LinkReleaseTriggerMode),\n        defaultValue: LinkReleaseTriggerMode.ALWAYS\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.NodeSearchBoxImpl.NodePreview',\n        category: ['Comfy', 'Node Search Box', 'NodePreview'],\n        name: 'Node preview',\n        tooltip: 'Only applies to the default implementation',\n        type: 'boolean',\n        defaultValue: true\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.NodeSearchBoxImpl.ShowCategory',\n        category: ['Comfy', 'Node Search Box', 'ShowCategory'],\n        name: 'Show node category in search results',\n        tooltip: 'Only applies to the default implementation',\n        type: 'boolean',\n        defaultValue: true\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Sidebar.Location',\n        category: ['Comfy', 'Sidebar', 'Location'],\n        name: 'Sidebar location',\n        type: 'combo',\n        options: ['left', 'right'],\n        defaultValue: 'left'\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Sidebar.Size',\n        category: ['Comfy', 'Sidebar', 'Size'],\n        name: 'Sidebar size',\n        type: 'combo',\n        options: ['normal', 'small'],\n        defaultValue: window.innerWidth < 1600 ? 'small' : 'normal'\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.TextareaWidget.FontSize',\n        category: ['Comfy', 'Node Widget', 'TextareaWidget', 'FontSize'],\n        name: 'Textarea widget font size',\n        type: 'slider',\n        defaultValue: 10,\n        attrs: {\n          min: 8,\n          max: 24\n        }\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.TextareaWidget.Spellcheck',\n        category: ['Comfy', 'Node Widget', 'TextareaWidget', 'Spellcheck'],\n        name: 'Textarea widget spellcheck',\n        type: 'boolean',\n        defaultValue: false\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Workflow.SortNodeIdOnSave',\n        name: 'Sort node IDs when saving workflow',\n        type: 'boolean',\n        defaultValue: false\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Graph.CanvasInfo',\n        name: 'Show canvas info (fps, etc.)',\n        type: 'boolean',\n        defaultValue: true\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Node.ShowDeprecated',\n        name: 'Show deprecated nodes in search',\n        tooltip:\n          'Deprecated nodes are hidden by default in the UI, but remain functional in existing workflows that use them.',\n        type: 'boolean',\n        defaultValue: false\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Node.ShowExperimental',\n        name: 'Show experimental nodes in search',\n        tooltip:\n          'Experimental nodes are marked as such in the UI and may be subject to significant changes or removal in future versions. Use with caution in production workflows',\n        type: 'boolean',\n        defaultValue: true\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Workflow.ShowMissingNodesWarning',\n        name: 'Show missing nodes warning',\n        type: 'boolean',\n        defaultValue: true\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Workflow.ShowMissingModelsWarning',\n        name: 'Show missing models warning',\n        type: 'boolean',\n        defaultValue: false,\n        experimental: true\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Graph.ZoomSpeed',\n        name: 'Canvas zoom speed',\n        type: 'slider',\n        defaultValue: 1.1,\n        attrs: {\n          min: 1.01,\n          max: 2.5,\n          step: 0.01\n        }\n      })\n\n      // Bookmarks are stored in the settings store.\n      // Bookmarks are in format of category/display_name. e.g. \"conditioning/CLIPTextEncode\"\n      app.ui.settings.addSetting({\n        id: 'Comfy.NodeLibrary.Bookmarks',\n        name: 'Node library bookmarks',\n        type: 'hidden',\n        defaultValue: []\n      })\n\n      // Stores mapping from bookmark folder name to its customization.\n      app.ui.settings.addSetting({\n        id: 'Comfy.NodeLibrary.BookmarksCustomization',\n        name: 'Node library bookmarks customization',\n        type: 'hidden',\n        defaultValue: {}\n      })\n\n      // Hidden setting used by the queue for how to fit images\n      app.ui.settings.addSetting({\n        id: 'Comfy.Queue.ImageFit',\n        name: 'Queue image fit',\n        type: 'hidden',\n        defaultValue: 'cover'\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Workflow.ModelDownload.AllowedSources',\n        name: 'Allowed model download sources',\n        type: 'hidden',\n        defaultValue: ['https://huggingface.co/', 'https://civitai.com/']\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Workflow.ModelDownload.AllowedSuffixes',\n        name: 'Allowed model download suffixes',\n        type: 'hidden',\n        defaultValue: ['.safetensors', '.sft']\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.GroupSelectedNodes.Padding',\n        name: 'Group selected nodes padding',\n        type: 'slider',\n        defaultValue: 10,\n        attrs: {\n          min: 0,\n          max: 100\n        }\n      })\n\n      app.ui.settings.addSetting({\n        id: 'Comfy.Node.DoubleClickTitleToEdit',\n        name: 'Double click node title to edit',\n        type: 'boolean',\n        defaultValue: true\n      })\n    },\n\n    set<K extends keyof Settings>(key: K, value: Settings[K]) {\n      this.settingValues[key] = value\n      app.ui.settings.setSettingValue(key, value)\n    },\n\n    get<K extends keyof Settings>(key: K): Settings[K] {\n      return (\n        this.settingValues[key] ?? app.ui.settings.getSettingDefaultValue(key)\n      )\n    }\n  }\n})\n","import { $el } from '../ui'\nimport { api } from '../api'\nimport { ComfyDialog } from './dialog'\nimport type { ComfyApp } from '../app'\nimport type { Setting, SettingParams } from '@/types/settingTypes'\nimport { useSettingStore } from '@/stores/settingStore'\nimport { Settings } from '@/types/apiTypes'\n\nexport class ComfySettingsDialog extends ComfyDialog<HTMLDialogElement> {\n  app: ComfyApp\n  settingsValues: any\n  settingsLookup: Record<string, Setting>\n  settingsParamLookup: Record<string, SettingParams>\n\n  constructor(app: ComfyApp) {\n    super()\n    const frontendVersion = window['__COMFYUI_FRONTEND_VERSION__']\n    this.app = app\n    this.settingsValues = {}\n    this.settingsLookup = {}\n    this.settingsParamLookup = {}\n    this.element = $el(\n      'dialog',\n      {\n        id: 'comfy-settings-dialog',\n        parent: document.body\n      },\n      [\n        $el('table.comfy-modal-content.comfy-table', [\n          $el(\n            'caption',\n            { textContent: `Settings (v${frontendVersion})` },\n            $el('button.comfy-btn', {\n              type: 'button',\n              textContent: '\\u00d7',\n              onclick: () => {\n                this.element.close()\n              }\n            })\n          ),\n          $el('tbody', { $: (tbody) => (this.textElement = tbody) }),\n          $el('button', {\n            type: 'button',\n            textContent: 'Close',\n            style: {\n              cursor: 'pointer'\n            },\n            onclick: () => {\n              this.element.close()\n            }\n          })\n        ])\n      ]\n    ) as HTMLDialogElement\n  }\n\n  get settings() {\n    return Object.values(this.settingsLookup)\n  }\n\n  #dispatchChange<T>(id: string, value: T, oldValue?: T) {\n    // Keep the settingStore updated. Not using `store.set` as it would trigger\n    // setSettingValue again.\n    // `load` re-dispatch the change for any settings added before load so\n    // settingStore is always up to date.\n    if (this.app.vueAppReady) {\n      useSettingStore().settingValues[id] = value\n    }\n\n    this.dispatchEvent(\n      new CustomEvent(id + '.change', {\n        detail: {\n          value,\n          oldValue\n        }\n      })\n    )\n  }\n\n  async load() {\n    if (this.app.storageLocation === 'browser') {\n      this.settingsValues = localStorage\n    } else {\n      this.settingsValues = await api.getSettings()\n    }\n\n    // Trigger onChange for any settings added before load\n    for (const id in this.settingsLookup) {\n      const value = this.settingsValues[this.getId(id)]\n      this.settingsLookup[id].onChange?.(value)\n      this.#dispatchChange(id, value)\n    }\n  }\n\n  getId(id: string) {\n    if (this.app.storageLocation === 'browser') {\n      id = 'Comfy.Settings.' + id\n    }\n    return id\n  }\n\n  getSettingValue<K extends keyof Settings>(\n    id: K,\n    defaultValue?: Settings[K]\n  ): Settings[K] {\n    let value = this.settingsValues[this.getId(id)]\n    if (value != null) {\n      if (this.app.storageLocation === 'browser') {\n        try {\n          value = JSON.parse(value)\n        } catch (error) {}\n      }\n    }\n    return (value ?? defaultValue) as Settings[K]\n  }\n\n  getSettingDefaultValue(id: string) {\n    const param = this.settingsParamLookup[id]\n    return param?.defaultValue\n  }\n\n  async setSettingValueAsync<K extends keyof Settings>(\n    id: K,\n    value: Settings[K]\n  ) {\n    const json = JSON.stringify(value)\n    localStorage['Comfy.Settings.' + id] = json // backwards compatibility for extensions keep setting in storage\n\n    let oldValue = this.getSettingValue(id, undefined)\n    this.settingsValues[this.getId(id)] = value\n\n    if (id in this.settingsLookup) {\n      this.settingsLookup[id].onChange?.(value, oldValue)\n    }\n    this.#dispatchChange(id, value, oldValue)\n\n    await api.storeSetting(id, value)\n  }\n\n  setSettingValue<K extends keyof Settings>(id: K, value: Settings[K]) {\n    this.setSettingValueAsync(id, value).catch((err) => {\n      alert(`Error saving setting '${id}'`)\n      console.error(err)\n    })\n  }\n\n  refreshSetting(id: keyof Settings) {\n    const value = this.getSettingValue(id)\n    this.settingsLookup[id].onChange?.(value)\n    this.#dispatchChange(id, value)\n  }\n\n  addSetting(params: SettingParams) {\n    const {\n      id,\n      name,\n      type,\n      defaultValue,\n      onChange,\n      attrs = {},\n      tooltip = '',\n      options = undefined\n    } = params\n    if (!id) {\n      throw new Error('Settings must have an ID')\n    }\n\n    if (id in this.settingsLookup) {\n      throw new Error(`Setting ${id} of type ${type} must have a unique ID.`)\n    }\n\n    let skipOnChange = false\n    let value = this.getSettingValue(id)\n    if (value == null) {\n      if (this.app.isNewUserSession) {\n        // Check if we have a localStorage value but not a setting value and we are a new user\n        const localValue = localStorage['Comfy.Settings.' + id]\n        if (localValue) {\n          value = JSON.parse(localValue)\n          this.setSettingValue(id, value) // Store on the server\n        }\n      }\n      if (value == null) {\n        value = defaultValue\n      }\n    }\n\n    // Trigger initial setting of value\n    if (!skipOnChange) {\n      onChange?.(value, undefined)\n      this.#dispatchChange(id, value)\n    }\n\n    this.settingsParamLookup[id] = params\n    if (this.app.vueAppReady) {\n      useSettingStore().settings[id] = params\n    }\n    this.settingsLookup[id] = {\n      id,\n      onChange,\n      name,\n      render: () => {\n        if (type === 'hidden') return\n\n        const setter = (v) => {\n          if (onChange) {\n            onChange(v, value)\n          }\n\n          this.setSettingValue(id, v)\n          value = v\n        }\n        value = this.getSettingValue(id, defaultValue)\n\n        let element\n        const htmlID = id.replaceAll('.', '-')\n\n        const labelCell = $el('td', [\n          $el('label', {\n            for: htmlID,\n            classList: [tooltip !== '' ? 'comfy-tooltip-indicator' : ''],\n            textContent: name\n          })\n        ])\n\n        if (typeof type === 'function') {\n          element = type(name, setter, value, attrs)\n        } else {\n          switch (type) {\n            case 'boolean':\n              element = $el('tr', [\n                labelCell,\n                $el('td', [\n                  $el('input', {\n                    id: htmlID,\n                    type: 'checkbox',\n                    checked: value,\n                    onchange: (event) => {\n                      const isChecked = event.target.checked\n                      if (onChange !== undefined) {\n                        onChange(isChecked)\n                      }\n                      this.setSettingValue(id, isChecked)\n                    }\n                  })\n                ])\n              ])\n              break\n            case 'number':\n              element = $el('tr', [\n                labelCell,\n                $el('td', [\n                  $el('input', {\n                    type,\n                    value,\n                    id: htmlID,\n                    oninput: (e) => {\n                      setter(e.target.value)\n                    },\n                    ...attrs\n                  })\n                ])\n              ])\n              break\n            case 'slider':\n              element = $el('tr', [\n                labelCell,\n                $el('td', [\n                  $el(\n                    'div',\n                    {\n                      style: {\n                        display: 'grid',\n                        gridAutoFlow: 'column'\n                      }\n                    },\n                    [\n                      $el('input', {\n                        ...attrs,\n                        value,\n                        type: 'range',\n                        oninput: (e) => {\n                          setter(e.target.value)\n                          e.target.nextElementSibling.value = e.target.value\n                        }\n                      }),\n                      $el('input', {\n                        ...attrs,\n                        value,\n                        id: htmlID,\n                        type: 'number',\n                        style: { maxWidth: '4rem' },\n                        oninput: (e) => {\n                          setter(e.target.value)\n                          e.target.previousElementSibling.value = e.target.value\n                        }\n                      })\n                    ]\n                  )\n                ])\n              ])\n              break\n            case 'combo':\n              element = $el('tr', [\n                labelCell,\n                $el('td', [\n                  $el(\n                    'select',\n                    {\n                      oninput: (e) => {\n                        setter(e.target.value)\n                      }\n                    },\n                    (typeof options === 'function'\n                      ? options(value)\n                      : options || []\n                    ).map((opt) => {\n                      if (typeof opt === 'string') {\n                        opt = { text: opt }\n                      }\n                      const v = opt.value ?? opt.text\n                      return $el('option', {\n                        value: v,\n                        textContent: opt.text,\n                        selected: value + '' === v + ''\n                      })\n                    })\n                  )\n                ])\n              ])\n              break\n            case 'text':\n            default:\n              if (type !== 'text') {\n                console.warn(\n                  `Unsupported setting type '${type}, defaulting to text`\n                )\n              }\n\n              element = $el('tr', [\n                labelCell,\n                $el('td', [\n                  $el('input', {\n                    value,\n                    id: htmlID,\n                    oninput: (e) => {\n                      setter(e.target.value)\n                    },\n                    ...attrs\n                  })\n                ])\n              ])\n              break\n          }\n        }\n        if (tooltip) {\n          element.title = tooltip\n        }\n\n        return element\n      }\n    } as Setting\n\n    const self = this\n    return {\n      get value() {\n        return self.getSettingValue(id, defaultValue)\n      },\n      set value(v) {\n        self.setSettingValue(id, v)\n      }\n    }\n  }\n\n  show() {\n    this.textElement.replaceChildren(\n      $el(\n        'tr',\n        {\n          style: { display: 'none' }\n        },\n        [$el('th'), $el('th', { style: { width: '33%' } })]\n      ),\n      ...this.settings\n        .sort((a, b) => a.name.localeCompare(b.name))\n        .map((s) => s.render())\n        .filter(Boolean)\n    )\n    this.element.showModal()\n  }\n}\n","// We should consider moving to https://primevue.org/dynamicdialog/ once everything is in Vue.\n// Currently we need to bridge between legacy app code and Vue app with a Pinia store.\n\nimport { defineStore } from 'pinia'\nimport { type Component, markRaw } from 'vue'\n\ninterface DialogState {\n  isVisible: boolean\n  title: string\n  headerComponent: Component | null\n  component: Component | null\n  props: Record<string, any>\n}\n\nexport const useDialogStore = defineStore('dialog', {\n  state: (): DialogState => ({\n    isVisible: false,\n    title: '',\n    headerComponent: null,\n    component: null,\n    props: {}\n  }),\n\n  actions: {\n    showDialog(options: {\n      title?: string\n      headerComponent?: Component\n      component: Component\n      props?: Record<string, any>\n    }) {\n      this.title = options.title\n      this.headerComponent = markRaw(options.headerComponent)\n      this.component = markRaw(options.component)\n      this.props = options.props || {}\n      this.isVisible = true\n    },\n\n    closeDialog() {\n      this.isVisible = false\n    }\n  }\n})\n","import BaseStyle from '@primevue/core/base/style';\n\nvar css = \"\\n.p-icon {\\n    display: inline-block;\\n}\\n\\n.p-icon-spin {\\n    -webkit-animation: p-icon-spin 2s infinite linear;\\n    animation: p-icon-spin 2s infinite linear;\\n}\\n\\n@-webkit-keyframes p-icon-spin {\\n    0% {\\n        -webkit-transform: rotate(0deg);\\n        transform: rotate(0deg);\\n    }\\n    100% {\\n        -webkit-transform: rotate(359deg);\\n        transform: rotate(359deg);\\n    }\\n}\\n\\n@keyframes p-icon-spin {\\n    0% {\\n        -webkit-transform: rotate(0deg);\\n        transform: rotate(0deg);\\n    }\\n    100% {\\n        -webkit-transform: rotate(359deg);\\n        transform: rotate(359deg);\\n    }\\n}\\n\";\nvar BaseIconStyle = BaseStyle.extend({\n  name: 'baseicon',\n  css: css\n});\n\nexport { BaseIconStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { isEmpty } from '@primeuix/utils/object';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport BaseIconStyle from '@primevue/icons/baseicon/style';\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar script = {\n  name: 'BaseIcon',\n  \"extends\": BaseComponent,\n  props: {\n    label: {\n      type: String,\n      \"default\": undefined\n    },\n    spin: {\n      type: Boolean,\n      \"default\": false\n    }\n  },\n  style: BaseIconStyle,\n  provide: function provide() {\n    return {\n      $pcIcon: this,\n      $parentInstance: this\n    };\n  },\n  methods: {\n    pti: function pti() {\n      var isLabelEmpty = isEmpty(this.label);\n      return _objectSpread(_objectSpread({}, !this.isUnstyled && {\n        \"class\": ['p-icon', {\n          'p-icon-spin': this.spin\n        }]\n      }), {}, {\n        role: !isLabelEmpty ? 'img' : undefined,\n        'aria-label': !isLabelEmpty ? this.label : undefined,\n        'aria-hidden': isLabelEmpty\n      });\n    }\n  }\n};\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'BlankIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"rect\", {\n  width: \"1\",\n  height: \"1\",\n  fill: \"currentColor\",\n  \"fill-opacity\": \"0\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'CheckIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M4.86199 11.5948C4.78717 11.5923 4.71366 11.5745 4.64596 11.5426C4.57826 11.5107 4.51779 11.4652 4.46827 11.4091L0.753985 7.69483C0.683167 7.64891 0.623706 7.58751 0.580092 7.51525C0.536478 7.44299 0.509851 7.36177 0.502221 7.27771C0.49459 7.19366 0.506156 7.10897 0.536046 7.03004C0.565935 6.95111 0.613367 6.88 0.674759 6.82208C0.736151 6.76416 0.8099 6.72095 0.890436 6.69571C0.970973 6.67046 1.05619 6.66385 1.13966 6.67635C1.22313 6.68886 1.30266 6.72017 1.37226 6.76792C1.44186 6.81567 1.4997 6.8786 1.54141 6.95197L4.86199 10.2503L12.6397 2.49483C12.7444 2.42694 12.8689 2.39617 12.9932 2.40745C13.1174 2.41873 13.2343 2.47141 13.3251 2.55705C13.4159 2.64268 13.4753 2.75632 13.4938 2.87973C13.5123 3.00315 13.4888 3.1292 13.4271 3.23768L5.2557 11.4091C5.20618 11.4652 5.14571 11.5107 5.07801 11.5426C5.01031 11.5745 4.9368 11.5923 4.86199 11.5948Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'SearchIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  \"fill-rule\": \"evenodd\",\n  \"clip-rule\": \"evenodd\",\n  d: \"M2.67602 11.0265C3.6661 11.688 4.83011 12.0411 6.02086 12.0411C6.81149 12.0411 7.59438 11.8854 8.32483 11.5828C8.87005 11.357 9.37808 11.0526 9.83317 10.6803L12.9769 13.8241C13.0323 13.8801 13.0983 13.9245 13.171 13.9548C13.2438 13.985 13.3219 14.0003 13.4007 14C13.4795 14.0003 13.5575 13.985 13.6303 13.9548C13.7031 13.9245 13.7691 13.8801 13.8244 13.8241C13.9367 13.7116 13.9998 13.5592 13.9998 13.4003C13.9998 13.2414 13.9367 13.089 13.8244 12.9765L10.6807 9.8328C11.053 9.37773 11.3573 8.86972 11.5831 8.32452C11.8857 7.59408 12.0414 6.81119 12.0414 6.02056C12.0414 4.8298 11.6883 3.66579 11.0268 2.67572C10.3652 1.68564 9.42494 0.913972 8.32483 0.45829C7.22472 0.00260857 6.01418 -0.116618 4.84631 0.115686C3.67844 0.34799 2.60568 0.921393 1.76369 1.76338C0.921698 2.60537 0.348296 3.67813 0.115991 4.84601C-0.116313 6.01388 0.00291375 7.22441 0.458595 8.32452C0.914277 9.42464 1.68595 10.3649 2.67602 11.0265ZM3.35565 2.0158C4.14456 1.48867 5.07206 1.20731 6.02086 1.20731C7.29317 1.20731 8.51338 1.71274 9.41304 2.6124C10.3127 3.51206 10.8181 4.73226 10.8181 6.00457C10.8181 6.95337 10.5368 7.88088 10.0096 8.66978C9.48251 9.45868 8.73328 10.0736 7.85669 10.4367C6.98011 10.7997 6.01554 10.8947 5.08496 10.7096C4.15439 10.5245 3.2996 10.0676 2.62869 9.39674C1.95778 8.72583 1.50089 7.87104 1.31579 6.94046C1.13068 6.00989 1.22568 5.04532 1.58878 4.16874C1.95187 3.29215 2.56675 2.54292 3.35565 2.0158Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-iconfield {\\n    position: relative;\\n}\\n\\n.p-inputicon {\\n    position: absolute;\\n    top: 50%;\\n    margin-top: calc(-1 * (\".concat(dt('icon.size'), \" / 2));\\n    color: \").concat(dt('iconfield.icon.color'), \";\\n}\\n\\n.p-iconfield .p-inputicon:first-child {\\n    left: \").concat(dt('form.field.padding.x'), \";\\n}\\n\\n.p-iconfield .p-inputicon:last-child {\\n    right: \").concat(dt('form.field.padding.x'), \";\\n}\\n\\n.p-iconfield .p-inputtext:last-child {\\n    padding-left: calc((\").concat(dt('form.field.padding.x'), \" * 2) + \").concat(dt('icon.size'), \");\\n}\\n\\n.p-iconfield .p-inputtext:first-child {\\n    padding-right: calc((\").concat(dt('form.field.padding.x'), \" * 2) + \").concat(dt('icon.size'), \");\\n}\\n\");\n};\nvar classes = {\n  root: 'p-iconfield'\n};\nvar IconFieldStyle = BaseStyle.extend({\n  name: 'iconfield',\n  theme: theme,\n  classes: classes\n});\n\nexport { IconFieldStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport IconFieldStyle from 'primevue/iconfield/style';\nimport { openBlock, createElementBlock, mergeProps, renderSlot } from 'vue';\n\nvar script$1 = {\n  name: 'BaseIconField',\n  \"extends\": BaseComponent,\n  style: IconFieldStyle,\n  provide: function provide() {\n    return {\n      $pcIconField: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'IconField',\n  \"extends\": script$1,\n  inheritAttrs: false\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root')), [renderSlot(_ctx.$slots, \"default\")], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar classes = {\n  root: 'p-inputicon'\n};\nvar InputIconStyle = BaseStyle.extend({\n  name: 'inputicon',\n  classes: classes\n});\n\nexport { InputIconStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport InputIconStyle from 'primevue/inputicon/style';\nimport { openBlock, createElementBlock, mergeProps, renderSlot } from 'vue';\n\nvar script$1 = {\n  name: 'BaseInputIcon',\n  \"extends\": BaseComponent,\n  style: InputIconStyle,\n  props: {\n    \"class\": null\n  },\n  provide: function provide() {\n    return {\n      $pcInputIcon: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'InputIcon',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  computed: {\n    containerClass: function containerClass() {\n      return [this.cx('root'), this[\"class\"]];\n    }\n  }\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"span\", mergeProps({\n    \"class\": $options.containerClass\n  }, _ctx.ptmi('root')), [renderSlot(_ctx.$slots, \"default\")], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-inputtext {\\n    font-family: inherit;\\n    font-feature-settings: inherit;\\n    font-size: 1rem;\\n    color: \".concat(dt('inputtext.color'), \";\\n    background: \").concat(dt('inputtext.background'), \";\\n    padding: \").concat(dt('inputtext.padding.y'), \" \").concat(dt('inputtext.padding.x'), \";\\n    border: 1px solid \").concat(dt('inputtext.border.color'), \";\\n    transition: background \").concat(dt('inputtext.transition.duration'), \", color \").concat(dt('inputtext.transition.duration'), \", border-color \").concat(dt('inputtext.transition.duration'), \", outline-color \").concat(dt('inputtext.transition.duration'), \", box-shadow \").concat(dt('inputtext.transition.duration'), \";\\n    appearance: none;\\n    border-radius: \").concat(dt('inputtext.border.radius'), \";\\n    outline-color: transparent;\\n    box-shadow: \").concat(dt('inputtext.shadow'), \";\\n}\\n\\n.p-inputtext:enabled:hover {\\n    border-color: \").concat(dt('inputtext.hover.border.color'), \";\\n}\\n\\n.p-inputtext:enabled:focus {\\n    border-color: \").concat(dt('inputtext.focus.border.color'), \";\\n    box-shadow: \").concat(dt('inputtext.focus.ring.shadow'), \";\\n    outline: \").concat(dt('inputtext.focus.ring.width'), \" \").concat(dt('inputtext.focus.ring.style'), \" \").concat(dt('inputtext.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('inputtext.focus.ring.offset'), \";\\n}\\n\\n.p-inputtext.p-invalid {\\n    border-color: \").concat(dt('inputtext.invalid.border.color'), \";\\n}\\n\\n.p-inputtext.p-variant-filled {\\n    background: \").concat(dt('inputtext.filled.background'), \";\\n}\\n\\n.p-inputtext.p-variant-filled:enabled:focus {\\n    background: \").concat(dt('inputtext.filled.focus.background'), \";\\n}\\n\\n.p-inputtext:disabled {\\n    opacity: 1;\\n    background: \").concat(dt('inputtext.disabled.background'), \";\\n    color: \").concat(dt('inputtext.disabled.color'), \";\\n}\\n\\n.p-inputtext::placeholder {\\n    color: \").concat(dt('inputtext.placeholder.color'), \";\\n}\\n\\n.p-inputtext-sm {\\n    font-size: \").concat(dt('inputtext.sm.font.size'), \";\\n    padding: \").concat(dt('inputtext.sm.padding.y'), \" \").concat(dt('inputtext.sm.padding.x'), \";\\n}\\n\\n.p-inputtext-lg {\\n    font-size: \").concat(dt('inputtext.lg.font.size'), \";\\n    padding: \").concat(dt('inputtext.lg.padding.y'), \" \").concat(dt('inputtext.lg.padding.x'), \";\\n}\\n\\n.p-inputtext-fluid {\\n    width: 100%;\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var instance = _ref2.instance,\n      props = _ref2.props;\n    return ['p-inputtext p-component', {\n      'p-filled': instance.filled,\n      'p-inputtext-sm': props.size === 'small',\n      'p-inputtext-lg': props.size === 'large',\n      'p-invalid': props.invalid,\n      'p-variant-filled': props.variant ? props.variant === 'filled' : instance.$primevue.config.inputStyle === 'filled' || instance.$primevue.config.inputVariant === 'filled',\n      'p-inputtext-fluid': props.fluid\n    }];\n  }\n};\nvar InputTextStyle = BaseStyle.extend({\n  name: 'inputtext',\n  theme: theme,\n  classes: classes\n});\n\nexport { InputTextStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport InputTextStyle from 'primevue/inputtext/style';\nimport { openBlock, createElementBlock, mergeProps } from 'vue';\n\nvar script$1 = {\n  name: 'BaseInputText',\n  \"extends\": BaseComponent,\n  props: {\n    modelValue: null,\n    size: {\n      type: String,\n      \"default\": null\n    },\n    invalid: {\n      type: Boolean,\n      \"default\": false\n    },\n    variant: {\n      type: String,\n      \"default\": null\n    },\n    fluid: {\n      type: Boolean,\n      \"default\": false\n    }\n  },\n  style: InputTextStyle,\n  provide: function provide() {\n    return {\n      $pcInputText: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'InputText',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue'],\n  methods: {\n    getPTOptions: function getPTOptions(key) {\n      var _ptm = key === 'root' ? this.ptmi : this.ptm;\n      return _ptm(key, {\n        context: {\n          filled: this.filled,\n          disabled: this.$attrs.disabled || this.$attrs.disabled === ''\n        }\n      });\n    },\n    onInput: function onInput(event) {\n      this.$emit('update:modelValue', event.target.value);\n    }\n  },\n  computed: {\n    filled: function filled() {\n      return this.modelValue != null && this.modelValue.toString().length > 0;\n    }\n  }\n};\n\nvar _hoisted_1 = [\"value\", \"aria-invalid\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"input\", mergeProps({\n    type: \"text\",\n    \"class\": _ctx.cx('root'),\n    value: _ctx.modelValue,\n    \"aria-invalid\": _ctx.invalid || undefined,\n    onInput: _cache[0] || (_cache[0] = function () {\n      return $options.onInput && $options.onInput.apply($options, arguments);\n    })\n  }, $options.getPTOptions('root')), null, 16, _hoisted_1);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-ink {\\n    display: block;\\n    position: absolute;\\n    background: \".concat(dt('ripple.background'), \";\\n    border-radius: 100%;\\n    transform: scale(0);\\n    pointer-events: none;\\n}\\n\\n.p-ink-active {\\n    animation: ripple 0.4s linear;\\n}\\n\\n@keyframes ripple {\\n    100% {\\n        opacity: 0;\\n        transform: scale(2.5);\\n    }\\n}\\n\");\n};\nvar classes = {\n  root: 'p-ink'\n};\nvar RippleStyle = BaseStyle.extend({\n  name: 'ripple-directive',\n  theme: theme,\n  classes: classes\n});\n\nexport { RippleStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { createElement, removeClass, getHeight, getWidth, getOuterWidth, getOuterHeight, getOffset, addClass, getAttribute } from '@primeuix/utils/dom';\nimport BaseDirective from '@primevue/core/basedirective';\nimport RippleStyle from 'primevue/ripple/style';\n\nvar BaseRipple = BaseDirective.extend({\n  style: RippleStyle\n});\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar Ripple = BaseRipple.extend('ripple', {\n  watch: {\n    'config.ripple': function configRipple(newValue) {\n      if (newValue) {\n        this.createRipple(this.$host);\n        this.bindEvents(this.$host);\n        this.$host.setAttribute('data-pd-ripple', true);\n        this.$host.style['overflow'] = 'hidden';\n        this.$host.style['position'] = 'relative';\n      } else {\n        this.remove(this.$host);\n        this.$host.removeAttribute('data-pd-ripple');\n      }\n    }\n  },\n  unmounted: function unmounted(el) {\n    this.remove(el);\n  },\n  timeout: undefined,\n  methods: {\n    bindEvents: function bindEvents(el) {\n      el.addEventListener('mousedown', this.onMouseDown.bind(this));\n    },\n    unbindEvents: function unbindEvents(el) {\n      el.removeEventListener('mousedown', this.onMouseDown.bind(this));\n    },\n    createRipple: function createRipple(el) {\n      var ink = createElement('span', _defineProperty(_defineProperty({\n        role: 'presentation',\n        'aria-hidden': true,\n        'data-p-ink': true,\n        'data-p-ink-active': false,\n        \"class\": !this.isUnstyled() && this.cx('root'),\n        onAnimationEnd: this.onAnimationEnd.bind(this)\n      }, this.$attrSelector, ''), 'p-bind', this.ptm('root')));\n      el.appendChild(ink);\n      this.$el = ink;\n    },\n    remove: function remove(el) {\n      var ink = this.getInk(el);\n      if (ink) {\n        this.$host.style['overflow'] = '';\n        this.$host.style['position'] = '';\n        this.unbindEvents(el);\n        ink.removeEventListener('animationend', this.onAnimationEnd);\n        ink.remove();\n      }\n    },\n    onMouseDown: function onMouseDown(event) {\n      var _this = this;\n      var target = event.currentTarget;\n      var ink = this.getInk(target);\n      if (!ink || getComputedStyle(ink, null).display === 'none') {\n        return;\n      }\n      !this.isUnstyled() && removeClass(ink, 'p-ink-active');\n      ink.setAttribute('data-p-ink-active', 'false');\n      if (!getHeight(ink) && !getWidth(ink)) {\n        var d = Math.max(getOuterWidth(target), getOuterHeight(target));\n        ink.style.height = d + 'px';\n        ink.style.width = d + 'px';\n      }\n      var offset = getOffset(target);\n      var x = event.pageX - offset.left + document.body.scrollTop - getWidth(ink) / 2;\n      var y = event.pageY - offset.top + document.body.scrollLeft - getHeight(ink) / 2;\n      ink.style.top = y + 'px';\n      ink.style.left = x + 'px';\n      !this.isUnstyled() && addClass(ink, 'p-ink-active');\n      ink.setAttribute('data-p-ink-active', 'true');\n      this.timeout = setTimeout(function () {\n        if (ink) {\n          !_this.isUnstyled() && removeClass(ink, 'p-ink-active');\n          ink.setAttribute('data-p-ink-active', 'false');\n        }\n      }, 401);\n    },\n    onAnimationEnd: function onAnimationEnd(event) {\n      if (this.timeout) {\n        clearTimeout(this.timeout);\n      }\n      !this.isUnstyled() && removeClass(event.currentTarget, 'p-ink-active');\n      event.currentTarget.setAttribute('data-p-ink-active', 'false');\n    },\n    getInk: function getInk(el) {\n      return el && el.children ? _toConsumableArray(el.children).find(function (child) {\n        return getAttribute(child, 'data-pc-name') === 'ripple';\n      }) : undefined;\n    }\n  }\n});\n\nexport { Ripple as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'SpinnerIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M6.99701 14C5.85441 13.999 4.72939 13.7186 3.72012 13.1832C2.71084 12.6478 1.84795 11.8737 1.20673 10.9284C0.565504 9.98305 0.165424 8.89526 0.041387 7.75989C-0.0826496 6.62453 0.073125 5.47607 0.495122 4.4147C0.917119 3.35333 1.59252 2.4113 2.46241 1.67077C3.33229 0.930247 4.37024 0.413729 5.4857 0.166275C6.60117 -0.0811796 7.76026 -0.0520535 8.86188 0.251112C9.9635 0.554278 10.9742 1.12227 11.8057 1.90555C11.915 2.01493 11.9764 2.16319 11.9764 2.31778C11.9764 2.47236 11.915 2.62062 11.8057 2.73C11.7521 2.78503 11.688 2.82877 11.6171 2.85864C11.5463 2.8885 11.4702 2.90389 11.3933 2.90389C11.3165 2.90389 11.2404 2.8885 11.1695 2.85864C11.0987 2.82877 11.0346 2.78503 10.9809 2.73C9.9998 1.81273 8.73246 1.26138 7.39226 1.16876C6.05206 1.07615 4.72086 1.44794 3.62279 2.22152C2.52471 2.99511 1.72683 4.12325 1.36345 5.41602C1.00008 6.70879 1.09342 8.08723 1.62775 9.31926C2.16209 10.5513 3.10478 11.5617 4.29713 12.1803C5.48947 12.7989 6.85865 12.988 8.17414 12.7157C9.48963 12.4435 10.6711 11.7264 11.5196 10.6854C12.3681 9.64432 12.8319 8.34282 12.8328 7C12.8328 6.84529 12.8943 6.69692 13.0038 6.58752C13.1132 6.47812 13.2616 6.41667 13.4164 6.41667C13.5712 6.41667 13.7196 6.47812 13.8291 6.58752C13.9385 6.69692 14 6.84529 14 7C14 8.85651 13.2622 10.637 11.9489 11.9497C10.6356 13.2625 8.85432 14 6.99701 14Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-virtualscroller {\\n    position: relative;\\n    overflow: auto;\\n    contain: strict;\\n    transform: translateZ(0);\\n    will-change: scroll-position;\\n    outline: 0 none;\\n}\\n\\n.p-virtualscroller-content {\\n    position: absolute;\\n    top: 0;\\n    left: 0;\\n    min-height: 100%;\\n    min-width: 100%;\\n    will-change: transform;\\n}\\n\\n.p-virtualscroller-spacer {\\n    position: absolute;\\n    top: 0;\\n    left: 0;\\n    height: 1px;\\n    width: 1px;\\n    transform-origin: 0 0;\\n    pointer-events: none;\\n}\\n\\n.p-virtualscroller-loader {\\n    position: sticky;\\n    top: 0;\\n    left: 0;\\n    width: 100%;\\n    height: 100%;\\n    background: \".concat(dt('virtualscroller.loader.mask.background'), \";\\n    color: \").concat(dt('virtualscroller.loader.mask.color'), \";\\n}\\n\\n.p-virtualscroller-loader-mask {\\n    display: flex;\\n    align-items: center;\\n    justify-content: center;\\n}\\n\\n.p-virtualscroller-loading-icon {\\n    font-size: \").concat(dt('virtualscroller.loader.icon.size'), \";\\n    width: \").concat(dt('virtualscroller.loader.icon.size'), \";\\n    height: \").concat(dt('virtualscroller.loader.icon.size'), \";\\n}\\n\\n.p-virtualscroller-horizontal > .p-virtualscroller-content {\\n    display: flex;\\n}\\n\\n.p-virtualscroller-inline .p-virtualscroller-content {\\n    position: static;\\n}\\n\");\n};\nvar VirtualScrollerStyle = BaseStyle.extend({\n  name: 'virtualscroller',\n  theme: theme\n});\n\nexport { VirtualScrollerStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { isVisible, getWidth, getHeight, findSingle } from '@primeuix/utils/dom';\nimport SpinnerIcon from '@primevue/icons/spinner';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport VirtualScrollerStyle from 'primevue/virtualscroller/style';\nimport { resolveComponent, openBlock, createElementBlock, mergeProps, renderSlot, createElementVNode, Fragment, renderList, createCommentVNode, createVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BaseVirtualScroller',\n  \"extends\": BaseComponent,\n  props: {\n    id: {\n      type: String,\n      \"default\": null\n    },\n    style: null,\n    \"class\": null,\n    items: {\n      type: Array,\n      \"default\": null\n    },\n    itemSize: {\n      type: [Number, Array],\n      \"default\": 0\n    },\n    scrollHeight: null,\n    scrollWidth: null,\n    orientation: {\n      type: String,\n      \"default\": 'vertical'\n    },\n    numToleratedItems: {\n      type: Number,\n      \"default\": null\n    },\n    delay: {\n      type: Number,\n      \"default\": 0\n    },\n    resizeDelay: {\n      type: Number,\n      \"default\": 10\n    },\n    lazy: {\n      type: Boolean,\n      \"default\": false\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    loaderDisabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    columns: {\n      type: Array,\n      \"default\": null\n    },\n    loading: {\n      type: Boolean,\n      \"default\": false\n    },\n    showSpacer: {\n      type: Boolean,\n      \"default\": true\n    },\n    showLoader: {\n      type: Boolean,\n      \"default\": false\n    },\n    tabindex: {\n      type: Number,\n      \"default\": 0\n    },\n    inline: {\n      type: Boolean,\n      \"default\": false\n    },\n    step: {\n      type: Number,\n      \"default\": 0\n    },\n    appendOnly: {\n      type: Boolean,\n      \"default\": false\n    },\n    autoSize: {\n      type: Boolean,\n      \"default\": false\n    }\n  },\n  style: VirtualScrollerStyle,\n  provide: function provide() {\n    return {\n      $pcVirtualScroller: this,\n      $parentInstance: this\n    };\n  },\n  beforeMount: function beforeMount() {\n    var _this$$primevueConfig;\n    VirtualScrollerStyle.loadCSS({\n      nonce: (_this$$primevueConfig = this.$primevueConfig) === null || _this$$primevueConfig === void 0 || (_this$$primevueConfig = _this$$primevueConfig.csp) === null || _this$$primevueConfig === void 0 ? void 0 : _this$$primevueConfig.nonce\n    });\n  }\n};\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar script = {\n  name: 'VirtualScroller',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:numToleratedItems', 'scroll', 'scroll-index-change', 'lazy-load'],\n  data: function data() {\n    var both = this.isBoth();\n    return {\n      first: both ? {\n        rows: 0,\n        cols: 0\n      } : 0,\n      last: both ? {\n        rows: 0,\n        cols: 0\n      } : 0,\n      page: both ? {\n        rows: 0,\n        cols: 0\n      } : 0,\n      numItemsInViewport: both ? {\n        rows: 0,\n        cols: 0\n      } : 0,\n      lastScrollPos: both ? {\n        top: 0,\n        left: 0\n      } : 0,\n      d_numToleratedItems: this.numToleratedItems,\n      d_loading: this.loading,\n      loaderArr: [],\n      spacerStyle: {},\n      contentStyle: {}\n    };\n  },\n  element: null,\n  content: null,\n  lastScrollPos: null,\n  scrollTimeout: null,\n  resizeTimeout: null,\n  defaultWidth: 0,\n  defaultHeight: 0,\n  defaultContentWidth: 0,\n  defaultContentHeight: 0,\n  isRangeChanged: false,\n  lazyLoadState: {},\n  resizeListener: null,\n  initialized: false,\n  watch: {\n    numToleratedItems: function numToleratedItems(newValue) {\n      this.d_numToleratedItems = newValue;\n    },\n    loading: function loading(newValue, oldValue) {\n      if (this.lazy && newValue !== oldValue && newValue !== this.d_loading) {\n        this.d_loading = newValue;\n      }\n    },\n    items: function items(newValue, oldValue) {\n      if (!oldValue || oldValue.length !== (newValue || []).length) {\n        this.init();\n        this.calculateAutoSize();\n      }\n    },\n    itemSize: function itemSize() {\n      this.init();\n      this.calculateAutoSize();\n    },\n    orientation: function orientation() {\n      this.lastScrollPos = this.isBoth() ? {\n        top: 0,\n        left: 0\n      } : 0;\n    },\n    scrollHeight: function scrollHeight() {\n      this.init();\n      this.calculateAutoSize();\n    },\n    scrollWidth: function scrollWidth() {\n      this.init();\n      this.calculateAutoSize();\n    }\n  },\n  mounted: function mounted() {\n    this.viewInit();\n    this.lastScrollPos = this.isBoth() ? {\n      top: 0,\n      left: 0\n    } : 0;\n    this.lazyLoadState = this.lazyLoadState || {};\n  },\n  updated: function updated() {\n    !this.initialized && this.viewInit();\n  },\n  unmounted: function unmounted() {\n    this.unbindResizeListener();\n    this.initialized = false;\n  },\n  methods: {\n    viewInit: function viewInit() {\n      if (isVisible(this.element)) {\n        this.setContentEl(this.content);\n        this.init();\n        this.calculateAutoSize();\n        this.bindResizeListener();\n        this.defaultWidth = getWidth(this.element);\n        this.defaultHeight = getHeight(this.element);\n        this.defaultContentWidth = getWidth(this.content);\n        this.defaultContentHeight = getHeight(this.content);\n        this.initialized = true;\n      }\n    },\n    init: function init() {\n      if (!this.disabled) {\n        this.setSize();\n        this.calculateOptions();\n        this.setSpacerSize();\n      }\n    },\n    isVertical: function isVertical() {\n      return this.orientation === 'vertical';\n    },\n    isHorizontal: function isHorizontal() {\n      return this.orientation === 'horizontal';\n    },\n    isBoth: function isBoth() {\n      return this.orientation === 'both';\n    },\n    scrollTo: function scrollTo(options) {\n      //this.lastScrollPos = this.both ? { top: 0, left: 0 } : 0;\n      this.element && this.element.scrollTo(options);\n    },\n    scrollToIndex: function scrollToIndex(index) {\n      var _this = this;\n      var behavior = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 'auto';\n      var both = this.isBoth();\n      var horizontal = this.isHorizontal();\n      var valid = both ? index.every(function (i) {\n        return i > -1;\n      }) : index > -1;\n      if (valid) {\n        var first = this.first;\n        var _this$element = this.element,\n          _this$element$scrollT = _this$element.scrollTop,\n          scrollTop = _this$element$scrollT === void 0 ? 0 : _this$element$scrollT,\n          _this$element$scrollL = _this$element.scrollLeft,\n          scrollLeft = _this$element$scrollL === void 0 ? 0 : _this$element$scrollL;\n        var _this$calculateNumIte = this.calculateNumItems(),\n          numToleratedItems = _this$calculateNumIte.numToleratedItems;\n        var contentPos = this.getContentPosition();\n        var itemSize = this.itemSize;\n        var calculateFirst = function calculateFirst() {\n          var _index = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 0;\n          var _numT = arguments.length > 1 ? arguments[1] : undefined;\n          return _index <= _numT ? 0 : _index;\n        };\n        var calculateCoord = function calculateCoord(_first, _size, _cpos) {\n          return _first * _size + _cpos;\n        };\n        var scrollTo = function scrollTo() {\n          var left = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 0;\n          var top = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;\n          return _this.scrollTo({\n            left: left,\n            top: top,\n            behavior: behavior\n          });\n        };\n        var newFirst = both ? {\n          rows: 0,\n          cols: 0\n        } : 0;\n        var isRangeChanged = false,\n          isScrollChanged = false;\n        if (both) {\n          newFirst = {\n            rows: calculateFirst(index[0], numToleratedItems[0]),\n            cols: calculateFirst(index[1], numToleratedItems[1])\n          };\n          scrollTo(calculateCoord(newFirst.cols, itemSize[1], contentPos.left), calculateCoord(newFirst.rows, itemSize[0], contentPos.top));\n          isScrollChanged = this.lastScrollPos.top !== scrollTop || this.lastScrollPos.left !== scrollLeft;\n          isRangeChanged = newFirst.rows !== first.rows || newFirst.cols !== first.cols;\n        } else {\n          newFirst = calculateFirst(index, numToleratedItems);\n          horizontal ? scrollTo(calculateCoord(newFirst, itemSize, contentPos.left), scrollTop) : scrollTo(scrollLeft, calculateCoord(newFirst, itemSize, contentPos.top));\n          isScrollChanged = this.lastScrollPos !== (horizontal ? scrollLeft : scrollTop);\n          isRangeChanged = newFirst !== first;\n        }\n        this.isRangeChanged = isRangeChanged;\n        isScrollChanged && (this.first = newFirst);\n      }\n    },\n    scrollInView: function scrollInView(index, to) {\n      var _this2 = this;\n      var behavior = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 'auto';\n      if (to) {\n        var both = this.isBoth();\n        var horizontal = this.isHorizontal();\n        var valid = both ? index.every(function (i) {\n          return i > -1;\n        }) : index > -1;\n        if (valid) {\n          var _this$getRenderedRang = this.getRenderedRange(),\n            first = _this$getRenderedRang.first,\n            viewport = _this$getRenderedRang.viewport;\n          var scrollTo = function scrollTo() {\n            var left = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 0;\n            var top = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;\n            return _this2.scrollTo({\n              left: left,\n              top: top,\n              behavior: behavior\n            });\n          };\n          var isToStart = to === 'to-start';\n          var isToEnd = to === 'to-end';\n          if (isToStart) {\n            if (both) {\n              if (viewport.first.rows - first.rows > index[0]) {\n                scrollTo(viewport.first.cols * this.itemSize[1], (viewport.first.rows - 1) * this.itemSize[0]);\n              } else if (viewport.first.cols - first.cols > index[1]) {\n                scrollTo((viewport.first.cols - 1) * this.itemSize[1], viewport.first.rows * this.itemSize[0]);\n              }\n            } else {\n              if (viewport.first - first > index) {\n                var pos = (viewport.first - 1) * this.itemSize;\n                horizontal ? scrollTo(pos, 0) : scrollTo(0, pos);\n              }\n            }\n          } else if (isToEnd) {\n            if (both) {\n              if (viewport.last.rows - first.rows <= index[0] + 1) {\n                scrollTo(viewport.first.cols * this.itemSize[1], (viewport.first.rows + 1) * this.itemSize[0]);\n              } else if (viewport.last.cols - first.cols <= index[1] + 1) {\n                scrollTo((viewport.first.cols + 1) * this.itemSize[1], viewport.first.rows * this.itemSize[0]);\n              }\n            } else {\n              if (viewport.last - first <= index + 1) {\n                var _pos2 = (viewport.first + 1) * this.itemSize;\n                horizontal ? scrollTo(_pos2, 0) : scrollTo(0, _pos2);\n              }\n            }\n          }\n        }\n      } else {\n        this.scrollToIndex(index, behavior);\n      }\n    },\n    getRenderedRange: function getRenderedRange() {\n      var calculateFirstInViewport = function calculateFirstInViewport(_pos, _size) {\n        return Math.floor(_pos / (_size || _pos));\n      };\n      var firstInViewport = this.first;\n      var lastInViewport = 0;\n      if (this.element) {\n        var both = this.isBoth();\n        var horizontal = this.isHorizontal();\n        var _this$element2 = this.element,\n          scrollTop = _this$element2.scrollTop,\n          scrollLeft = _this$element2.scrollLeft;\n        if (both) {\n          firstInViewport = {\n            rows: calculateFirstInViewport(scrollTop, this.itemSize[0]),\n            cols: calculateFirstInViewport(scrollLeft, this.itemSize[1])\n          };\n          lastInViewport = {\n            rows: firstInViewport.rows + this.numItemsInViewport.rows,\n            cols: firstInViewport.cols + this.numItemsInViewport.cols\n          };\n        } else {\n          var scrollPos = horizontal ? scrollLeft : scrollTop;\n          firstInViewport = calculateFirstInViewport(scrollPos, this.itemSize);\n          lastInViewport = firstInViewport + this.numItemsInViewport;\n        }\n      }\n      return {\n        first: this.first,\n        last: this.last,\n        viewport: {\n          first: firstInViewport,\n          last: lastInViewport\n        }\n      };\n    },\n    calculateNumItems: function calculateNumItems() {\n      var both = this.isBoth();\n      var horizontal = this.isHorizontal();\n      var itemSize = this.itemSize;\n      var contentPos = this.getContentPosition();\n      var contentWidth = this.element ? this.element.offsetWidth - contentPos.left : 0;\n      var contentHeight = this.element ? this.element.offsetHeight - contentPos.top : 0;\n      var calculateNumItemsInViewport = function calculateNumItemsInViewport(_contentSize, _itemSize) {\n        return Math.ceil(_contentSize / (_itemSize || _contentSize));\n      };\n      var calculateNumToleratedItems = function calculateNumToleratedItems(_numItems) {\n        return Math.ceil(_numItems / 2);\n      };\n      var numItemsInViewport = both ? {\n        rows: calculateNumItemsInViewport(contentHeight, itemSize[0]),\n        cols: calculateNumItemsInViewport(contentWidth, itemSize[1])\n      } : calculateNumItemsInViewport(horizontal ? contentWidth : contentHeight, itemSize);\n      var numToleratedItems = this.d_numToleratedItems || (both ? [calculateNumToleratedItems(numItemsInViewport.rows), calculateNumToleratedItems(numItemsInViewport.cols)] : calculateNumToleratedItems(numItemsInViewport));\n      return {\n        numItemsInViewport: numItemsInViewport,\n        numToleratedItems: numToleratedItems\n      };\n    },\n    calculateOptions: function calculateOptions() {\n      var _this3 = this;\n      var both = this.isBoth();\n      var first = this.first;\n      var _this$calculateNumIte2 = this.calculateNumItems(),\n        numItemsInViewport = _this$calculateNumIte2.numItemsInViewport,\n        numToleratedItems = _this$calculateNumIte2.numToleratedItems;\n      var calculateLast = function calculateLast(_first, _num, _numT) {\n        var _isCols = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : false;\n        return _this3.getLast(_first + _num + (_first < _numT ? 2 : 3) * _numT, _isCols);\n      };\n      var last = both ? {\n        rows: calculateLast(first.rows, numItemsInViewport.rows, numToleratedItems[0]),\n        cols: calculateLast(first.cols, numItemsInViewport.cols, numToleratedItems[1], true)\n      } : calculateLast(first, numItemsInViewport, numToleratedItems);\n      this.last = last;\n      this.numItemsInViewport = numItemsInViewport;\n      this.d_numToleratedItems = numToleratedItems;\n      this.$emit('update:numToleratedItems', this.d_numToleratedItems);\n      if (this.showLoader) {\n        this.loaderArr = both ? Array.from({\n          length: numItemsInViewport.rows\n        }).map(function () {\n          return Array.from({\n            length: numItemsInViewport.cols\n          });\n        }) : Array.from({\n          length: numItemsInViewport\n        });\n      }\n      if (this.lazy) {\n        Promise.resolve().then(function () {\n          var _this3$items;\n          _this3.lazyLoadState = {\n            first: _this3.step ? both ? {\n              rows: 0,\n              cols: first.cols\n            } : 0 : first,\n            last: Math.min(_this3.step ? _this3.step : last, ((_this3$items = _this3.items) === null || _this3$items === void 0 ? void 0 : _this3$items.length) || 0)\n          };\n          _this3.$emit('lazy-load', _this3.lazyLoadState);\n        });\n      }\n    },\n    calculateAutoSize: function calculateAutoSize() {\n      var _this4 = this;\n      if (this.autoSize && !this.d_loading) {\n        Promise.resolve().then(function () {\n          if (_this4.content) {\n            var both = _this4.isBoth();\n            var horizontal = _this4.isHorizontal();\n            var vertical = _this4.isVertical();\n            _this4.content.style.minHeight = _this4.content.style.minWidth = 'auto';\n            _this4.content.style.position = 'relative';\n            _this4.element.style.contain = 'none';\n\n            /*const [contentWidth, contentHeight] = [getWidth(this.content), getHeight(this.content)];\n             contentWidth !== this.defaultContentWidth && (this.element.style.width = '');\n            contentHeight !== this.defaultContentHeight && (this.element.style.height = '');*/\n\n            var _ref = [getWidth(_this4.element), getHeight(_this4.element)],\n              width = _ref[0],\n              height = _ref[1];\n            (both || horizontal) && (_this4.element.style.width = width < _this4.defaultWidth ? width + 'px' : _this4.scrollWidth || _this4.defaultWidth + 'px');\n            (both || vertical) && (_this4.element.style.height = height < _this4.defaultHeight ? height + 'px' : _this4.scrollHeight || _this4.defaultHeight + 'px');\n            _this4.content.style.minHeight = _this4.content.style.minWidth = '';\n            _this4.content.style.position = '';\n            _this4.element.style.contain = '';\n          }\n        });\n      }\n    },\n    getLast: function getLast() {\n      var _ref2, _this$items;\n      var last = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 0;\n      var isCols = arguments.length > 1 ? arguments[1] : undefined;\n      return this.items ? Math.min(isCols ? ((_ref2 = this.columns || this.items[0]) === null || _ref2 === void 0 ? void 0 : _ref2.length) || 0 : ((_this$items = this.items) === null || _this$items === void 0 ? void 0 : _this$items.length) || 0, last) : 0;\n    },\n    getContentPosition: function getContentPosition() {\n      if (this.content) {\n        var style = getComputedStyle(this.content);\n        var left = parseFloat(style.paddingLeft) + Math.max(parseFloat(style.left) || 0, 0);\n        var right = parseFloat(style.paddingRight) + Math.max(parseFloat(style.right) || 0, 0);\n        var top = parseFloat(style.paddingTop) + Math.max(parseFloat(style.top) || 0, 0);\n        var bottom = parseFloat(style.paddingBottom) + Math.max(parseFloat(style.bottom) || 0, 0);\n        return {\n          left: left,\n          right: right,\n          top: top,\n          bottom: bottom,\n          x: left + right,\n          y: top + bottom\n        };\n      }\n      return {\n        left: 0,\n        right: 0,\n        top: 0,\n        bottom: 0,\n        x: 0,\n        y: 0\n      };\n    },\n    setSize: function setSize() {\n      var _this5 = this;\n      if (this.element) {\n        var both = this.isBoth();\n        var horizontal = this.isHorizontal();\n        var parentElement = this.element.parentElement;\n        var width = this.scrollWidth || \"\".concat(this.element.offsetWidth || parentElement.offsetWidth, \"px\");\n        var height = this.scrollHeight || \"\".concat(this.element.offsetHeight || parentElement.offsetHeight, \"px\");\n        var setProp = function setProp(_name, _value) {\n          return _this5.element.style[_name] = _value;\n        };\n        if (both || horizontal) {\n          setProp('height', height);\n          setProp('width', width);\n        } else {\n          setProp('height', height);\n        }\n      }\n    },\n    setSpacerSize: function setSpacerSize() {\n      var _this6 = this;\n      var items = this.items;\n      if (items) {\n        var both = this.isBoth();\n        var horizontal = this.isHorizontal();\n        var contentPos = this.getContentPosition();\n        var setProp = function setProp(_name, _value, _size) {\n          var _cpos = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : 0;\n          return _this6.spacerStyle = _objectSpread(_objectSpread({}, _this6.spacerStyle), _defineProperty({}, \"\".concat(_name), (_value || []).length * _size + _cpos + 'px'));\n        };\n        if (both) {\n          setProp('height', items, this.itemSize[0], contentPos.y);\n          setProp('width', this.columns || items[1], this.itemSize[1], contentPos.x);\n        } else {\n          horizontal ? setProp('width', this.columns || items, this.itemSize, contentPos.x) : setProp('height', items, this.itemSize, contentPos.y);\n        }\n      }\n    },\n    setContentPosition: function setContentPosition(pos) {\n      var _this7 = this;\n      if (this.content && !this.appendOnly) {\n        var both = this.isBoth();\n        var horizontal = this.isHorizontal();\n        var first = pos ? pos.first : this.first;\n        var calculateTranslateVal = function calculateTranslateVal(_first, _size) {\n          return _first * _size;\n        };\n        var setTransform = function setTransform() {\n          var _x = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 0;\n          var _y = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;\n          return _this7.contentStyle = _objectSpread(_objectSpread({}, _this7.contentStyle), {\n            transform: \"translate3d(\".concat(_x, \"px, \").concat(_y, \"px, 0)\")\n          });\n        };\n        if (both) {\n          setTransform(calculateTranslateVal(first.cols, this.itemSize[1]), calculateTranslateVal(first.rows, this.itemSize[0]));\n        } else {\n          var translateVal = calculateTranslateVal(first, this.itemSize);\n          horizontal ? setTransform(translateVal, 0) : setTransform(0, translateVal);\n        }\n      }\n    },\n    onScrollPositionChange: function onScrollPositionChange(event) {\n      var _this8 = this;\n      var target = event.target;\n      var both = this.isBoth();\n      var horizontal = this.isHorizontal();\n      var contentPos = this.getContentPosition();\n      var calculateScrollPos = function calculateScrollPos(_pos, _cpos) {\n        return _pos ? _pos > _cpos ? _pos - _cpos : _pos : 0;\n      };\n      var calculateCurrentIndex = function calculateCurrentIndex(_pos, _size) {\n        return Math.floor(_pos / (_size || _pos));\n      };\n      var calculateTriggerIndex = function calculateTriggerIndex(_currentIndex, _first, _last, _num, _numT, _isScrollDownOrRight) {\n        return _currentIndex <= _numT ? _numT : _isScrollDownOrRight ? _last - _num - _numT : _first + _numT - 1;\n      };\n      var calculateFirst = function calculateFirst(_currentIndex, _triggerIndex, _first, _last, _num, _numT, _isScrollDownOrRight) {\n        if (_currentIndex <= _numT) return 0;else return Math.max(0, _isScrollDownOrRight ? _currentIndex < _triggerIndex ? _first : _currentIndex - _numT : _currentIndex > _triggerIndex ? _first : _currentIndex - 2 * _numT);\n      };\n      var calculateLast = function calculateLast(_currentIndex, _first, _last, _num, _numT, _isCols) {\n        var lastValue = _first + _num + 2 * _numT;\n        if (_currentIndex >= _numT) {\n          lastValue += _numT + 1;\n        }\n        return _this8.getLast(lastValue, _isCols);\n      };\n      var scrollTop = calculateScrollPos(target.scrollTop, contentPos.top);\n      var scrollLeft = calculateScrollPos(target.scrollLeft, contentPos.left);\n      var newFirst = both ? {\n        rows: 0,\n        cols: 0\n      } : 0;\n      var newLast = this.last;\n      var isRangeChanged = false;\n      var newScrollPos = this.lastScrollPos;\n      if (both) {\n        var isScrollDown = this.lastScrollPos.top <= scrollTop;\n        var isScrollRight = this.lastScrollPos.left <= scrollLeft;\n        if (!this.appendOnly || this.appendOnly && (isScrollDown || isScrollRight)) {\n          var currentIndex = {\n            rows: calculateCurrentIndex(scrollTop, this.itemSize[0]),\n            cols: calculateCurrentIndex(scrollLeft, this.itemSize[1])\n          };\n          var triggerIndex = {\n            rows: calculateTriggerIndex(currentIndex.rows, this.first.rows, this.last.rows, this.numItemsInViewport.rows, this.d_numToleratedItems[0], isScrollDown),\n            cols: calculateTriggerIndex(currentIndex.cols, this.first.cols, this.last.cols, this.numItemsInViewport.cols, this.d_numToleratedItems[1], isScrollRight)\n          };\n          newFirst = {\n            rows: calculateFirst(currentIndex.rows, triggerIndex.rows, this.first.rows, this.last.rows, this.numItemsInViewport.rows, this.d_numToleratedItems[0], isScrollDown),\n            cols: calculateFirst(currentIndex.cols, triggerIndex.cols, this.first.cols, this.last.cols, this.numItemsInViewport.cols, this.d_numToleratedItems[1], isScrollRight)\n          };\n          newLast = {\n            rows: calculateLast(currentIndex.rows, newFirst.rows, this.last.rows, this.numItemsInViewport.rows, this.d_numToleratedItems[0]),\n            cols: calculateLast(currentIndex.cols, newFirst.cols, this.last.cols, this.numItemsInViewport.cols, this.d_numToleratedItems[1], true)\n          };\n          isRangeChanged = newFirst.rows !== this.first.rows || newLast.rows !== this.last.rows || newFirst.cols !== this.first.cols || newLast.cols !== this.last.cols || this.isRangeChanged;\n          newScrollPos = {\n            top: scrollTop,\n            left: scrollLeft\n          };\n        }\n      } else {\n        var scrollPos = horizontal ? scrollLeft : scrollTop;\n        var isScrollDownOrRight = this.lastScrollPos <= scrollPos;\n        if (!this.appendOnly || this.appendOnly && isScrollDownOrRight) {\n          var _currentIndex2 = calculateCurrentIndex(scrollPos, this.itemSize);\n          var _triggerIndex2 = calculateTriggerIndex(_currentIndex2, this.first, this.last, this.numItemsInViewport, this.d_numToleratedItems, isScrollDownOrRight);\n          newFirst = calculateFirst(_currentIndex2, _triggerIndex2, this.first, this.last, this.numItemsInViewport, this.d_numToleratedItems, isScrollDownOrRight);\n          newLast = calculateLast(_currentIndex2, newFirst, this.last, this.numItemsInViewport, this.d_numToleratedItems);\n          isRangeChanged = newFirst !== this.first || newLast !== this.last || this.isRangeChanged;\n          newScrollPos = scrollPos;\n        }\n      }\n      return {\n        first: newFirst,\n        last: newLast,\n        isRangeChanged: isRangeChanged,\n        scrollPos: newScrollPos\n      };\n    },\n    onScrollChange: function onScrollChange(event) {\n      var _this$onScrollPositio = this.onScrollPositionChange(event),\n        first = _this$onScrollPositio.first,\n        last = _this$onScrollPositio.last,\n        isRangeChanged = _this$onScrollPositio.isRangeChanged,\n        scrollPos = _this$onScrollPositio.scrollPos;\n      if (isRangeChanged) {\n        var newState = {\n          first: first,\n          last: last\n        };\n        this.setContentPosition(newState);\n        this.first = first;\n        this.last = last;\n        this.lastScrollPos = scrollPos;\n        this.$emit('scroll-index-change', newState);\n        if (this.lazy && this.isPageChanged(first)) {\n          var _this$items2, _this$items3;\n          var lazyLoadState = {\n            first: this.step ? Math.min(this.getPageByFirst(first) * this.step, (((_this$items2 = this.items) === null || _this$items2 === void 0 ? void 0 : _this$items2.length) || 0) - this.step) : first,\n            last: Math.min(this.step ? (this.getPageByFirst(first) + 1) * this.step : last, ((_this$items3 = this.items) === null || _this$items3 === void 0 ? void 0 : _this$items3.length) || 0)\n          };\n          var isLazyStateChanged = this.lazyLoadState.first !== lazyLoadState.first || this.lazyLoadState.last !== lazyLoadState.last;\n          isLazyStateChanged && this.$emit('lazy-load', lazyLoadState);\n          this.lazyLoadState = lazyLoadState;\n        }\n      }\n    },\n    onScroll: function onScroll(event) {\n      var _this9 = this;\n      this.$emit('scroll', event);\n      if (this.delay) {\n        if (this.scrollTimeout) {\n          clearTimeout(this.scrollTimeout);\n        }\n        if (this.isPageChanged()) {\n          if (!this.d_loading && this.showLoader) {\n            var _this$onScrollPositio2 = this.onScrollPositionChange(event),\n              isRangeChanged = _this$onScrollPositio2.isRangeChanged;\n            var changed = isRangeChanged || (this.step ? this.isPageChanged() : false);\n            changed && (this.d_loading = true);\n          }\n          this.scrollTimeout = setTimeout(function () {\n            _this9.onScrollChange(event);\n            if (_this9.d_loading && _this9.showLoader && (!_this9.lazy || _this9.loading === undefined)) {\n              _this9.d_loading = false;\n              _this9.page = _this9.getPageByFirst();\n            }\n          }, this.delay);\n        }\n      } else {\n        this.onScrollChange(event);\n      }\n    },\n    onResize: function onResize() {\n      var _this10 = this;\n      if (this.resizeTimeout) {\n        clearTimeout(this.resizeTimeout);\n      }\n      this.resizeTimeout = setTimeout(function () {\n        if (isVisible(_this10.element)) {\n          var both = _this10.isBoth();\n          var vertical = _this10.isVertical();\n          var horizontal = _this10.isHorizontal();\n          var _ref3 = [getWidth(_this10.element), getHeight(_this10.element)],\n            width = _ref3[0],\n            height = _ref3[1];\n          var isDiffWidth = width !== _this10.defaultWidth,\n            isDiffHeight = height !== _this10.defaultHeight;\n          var reinit = both ? isDiffWidth || isDiffHeight : horizontal ? isDiffWidth : vertical ? isDiffHeight : false;\n          if (reinit) {\n            _this10.d_numToleratedItems = _this10.numToleratedItems;\n            _this10.defaultWidth = width;\n            _this10.defaultHeight = height;\n            _this10.defaultContentWidth = getWidth(_this10.content);\n            _this10.defaultContentHeight = getHeight(_this10.content);\n            _this10.init();\n          }\n        }\n      }, this.resizeDelay);\n    },\n    bindResizeListener: function bindResizeListener() {\n      if (!this.resizeListener) {\n        this.resizeListener = this.onResize.bind(this);\n        window.addEventListener('resize', this.resizeListener);\n        window.addEventListener('orientationchange', this.resizeListener);\n      }\n    },\n    unbindResizeListener: function unbindResizeListener() {\n      if (this.resizeListener) {\n        window.removeEventListener('resize', this.resizeListener);\n        window.removeEventListener('orientationchange', this.resizeListener);\n        this.resizeListener = null;\n      }\n    },\n    getOptions: function getOptions(renderedIndex) {\n      var count = (this.items || []).length;\n      var index = this.isBoth() ? this.first.rows + renderedIndex : this.first + renderedIndex;\n      return {\n        index: index,\n        count: count,\n        first: index === 0,\n        last: index === count - 1,\n        even: index % 2 === 0,\n        odd: index % 2 !== 0\n      };\n    },\n    getLoaderOptions: function getLoaderOptions(index, extOptions) {\n      var count = this.loaderArr.length;\n      return _objectSpread({\n        index: index,\n        count: count,\n        first: index === 0,\n        last: index === count - 1,\n        even: index % 2 === 0,\n        odd: index % 2 !== 0\n      }, extOptions);\n    },\n    getPageByFirst: function getPageByFirst(first) {\n      return Math.floor(((first !== null && first !== void 0 ? first : this.first) + this.d_numToleratedItems * 4) / (this.step || 1));\n    },\n    isPageChanged: function isPageChanged(first) {\n      return this.step ? this.page !== this.getPageByFirst(first !== null && first !== void 0 ? first : this.first) : true;\n    },\n    setContentEl: function setContentEl(el) {\n      this.content = el || this.content || findSingle(this.element, '[data-pc-section=\"content\"]');\n    },\n    elementRef: function elementRef(el) {\n      this.element = el;\n    },\n    contentRef: function contentRef(el) {\n      this.content = el;\n    }\n  },\n  computed: {\n    containerClass: function containerClass() {\n      return ['p-virtualscroller', this[\"class\"], {\n        'p-virtualscroller-inline': this.inline,\n        'p-virtualscroller-both p-both-scroll': this.isBoth(),\n        'p-virtualscroller-horizontal p-horizontal-scroll': this.isHorizontal()\n      }];\n    },\n    contentClass: function contentClass() {\n      return ['p-virtualscroller-content', {\n        'p-virtualscroller-loading': this.d_loading\n      }];\n    },\n    loaderClass: function loaderClass() {\n      return ['p-virtualscroller-loader', {\n        'p-virtualscroller-loader-mask': !this.$slots.loader\n      }];\n    },\n    loadedItems: function loadedItems() {\n      var _this11 = this;\n      if (this.items && !this.d_loading) {\n        if (this.isBoth()) return this.items.slice(this.appendOnly ? 0 : this.first.rows, this.last.rows).map(function (item) {\n          return _this11.columns ? item : item.slice(_this11.appendOnly ? 0 : _this11.first.cols, _this11.last.cols);\n        });else if (this.isHorizontal() && this.columns) return this.items;else return this.items.slice(this.appendOnly ? 0 : this.first, this.last);\n      }\n      return [];\n    },\n    loadedRows: function loadedRows() {\n      return this.d_loading ? this.loaderDisabled ? this.loaderArr : [] : this.loadedItems;\n    },\n    loadedColumns: function loadedColumns() {\n      if (this.columns) {\n        var both = this.isBoth();\n        var horizontal = this.isHorizontal();\n        if (both || horizontal) {\n          return this.d_loading && this.loaderDisabled ? both ? this.loaderArr[0] : this.loaderArr : this.columns.slice(both ? this.first.cols : this.first, both ? this.last.cols : this.last);\n        }\n      }\n      return this.columns;\n    }\n  },\n  components: {\n    SpinnerIcon: SpinnerIcon\n  }\n};\n\nvar _hoisted_1 = [\"tabindex\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_SpinnerIcon = resolveComponent(\"SpinnerIcon\");\n  return !_ctx.disabled ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 0,\n    ref: $options.elementRef,\n    \"class\": $options.containerClass,\n    tabindex: _ctx.tabindex,\n    style: _ctx.style,\n    onScroll: _cache[0] || (_cache[0] = function () {\n      return $options.onScroll && $options.onScroll.apply($options, arguments);\n    })\n  }, _ctx.ptmi('root')), [renderSlot(_ctx.$slots, \"content\", {\n    styleClass: $options.contentClass,\n    items: $options.loadedItems,\n    getItemOptions: $options.getOptions,\n    loading: $data.d_loading,\n    getLoaderOptions: $options.getLoaderOptions,\n    itemSize: _ctx.itemSize,\n    rows: $options.loadedRows,\n    columns: $options.loadedColumns,\n    contentRef: $options.contentRef,\n    spacerStyle: $data.spacerStyle,\n    contentStyle: $data.contentStyle,\n    vertical: $options.isVertical(),\n    horizontal: $options.isHorizontal(),\n    both: $options.isBoth()\n  }, function () {\n    return [createElementVNode(\"div\", mergeProps({\n      ref: $options.contentRef,\n      \"class\": $options.contentClass,\n      style: $data.contentStyle\n    }, _ctx.ptm('content')), [(openBlock(true), createElementBlock(Fragment, null, renderList($options.loadedItems, function (item, index) {\n      return renderSlot(_ctx.$slots, \"item\", {\n        key: index,\n        item: item,\n        options: $options.getOptions(index)\n      });\n    }), 128))], 16)];\n  }), _ctx.showSpacer ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 0,\n    \"class\": \"p-virtualscroller-spacer\",\n    style: $data.spacerStyle\n  }, _ctx.ptm('spacer')), null, 16)) : createCommentVNode(\"\", true), !_ctx.loaderDisabled && _ctx.showLoader && $data.d_loading ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 1,\n    \"class\": $options.loaderClass\n  }, _ctx.ptm('loader')), [_ctx.$slots && _ctx.$slots.loader ? (openBlock(true), createElementBlock(Fragment, {\n    key: 0\n  }, renderList($data.loaderArr, function (_, index) {\n    return renderSlot(_ctx.$slots, \"loader\", {\n      key: index,\n      options: $options.getLoaderOptions(index, $options.isBoth() && {\n        numCols: _ctx.d_numItemsInViewport.cols\n      })\n    });\n  }), 128)) : createCommentVNode(\"\", true), renderSlot(_ctx.$slots, \"loadingicon\", {}, function () {\n    return [createVNode(_component_SpinnerIcon, mergeProps({\n      spin: \"\",\n      \"class\": \"p-virtualscroller-loading-icon\"\n    }, _ctx.ptm('loadingIcon')), null, 16)];\n  })], 16)) : createCommentVNode(\"\", true)], 16, _hoisted_1)) : (openBlock(), createElementBlock(Fragment, {\n    key: 1\n  }, [renderSlot(_ctx.$slots, \"default\"), renderSlot(_ctx.$slots, \"content\", {\n    items: _ctx.items,\n    rows: _ctx.items,\n    columns: $options.loadedColumns\n  })], 64));\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-listbox {\\n    background: \".concat(dt('listbox.background'), \";\\n    color: \").concat(dt('listbox.color'), \";\\n    border: 1px solid \").concat(dt('listbox.border.color'), \";\\n    border-radius: \").concat(dt('listbox.border.radius'), \";\\n    transition: background \").concat(dt('listbox.transition.duration'), \", color \").concat(dt('listbox.transition.duration'), \", border-color \").concat(dt('listbox.transition.duration'), \",\\n            box-shadow \").concat(dt('listbox.transition.duration'), \", outline-color \").concat(dt('listbox.transition.duration'), \";\\n    outline-color: transparent;\\n    box-shadow: \").concat(dt('listbox.shadow'), \";\\n}\\n\\n.p-listbox.p-focus {\\n    border-color: \").concat(dt('listbox.focus.border.color'), \";\\n    box-shadow: \").concat(dt('listbox.focus.ring.shadow'), \";\\n    outline: \").concat(dt('listbox.focus.ring.width'), \" \").concat(dt('listbox.focus.ring.style'), \" \").concat(dt('listbox.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('listbox.focus.ring.offset'), \";\\n}\\n\\n.p-listbox.p-disabled {\\n    opacity: 1;\\n    background: \").concat(dt('listbox.disabled.background'), \";\\n    color: \").concat(dt('listbox.disabled.color'), \";\\n}\\n\\n.p-listbox.p-disabled .p-listbox-option {\\n    color: \").concat(dt('listbox.disabled.color'), \";\\n}\\n\\n.p-listbox.p-invalid {\\n    border-color: \").concat(dt('listbox.invalid.border.color'), \";\\n}\\n\\n.p-listbox-header {\\n    padding: \").concat(dt('listbox.list.header.padding'), \";\\n}\\n\\n.p-listbox-filter {\\n    width: 100%;\\n}\\n\\n.p-listbox-list-container {\\n    overflow: auto;\\n}\\n\\n.p-listbox-list {\\n    list-style-type: none;\\n    margin: 0;\\n    padding: \").concat(dt('listbox.list.padding'), \";\\n    outline: 0 none;\\n    display: flex;\\n    flex-direction: column;\\n    gap: \").concat(dt('listbox.list.gap'), \";\\n}\\n\\n.p-listbox-option {\\n    display: flex;\\n    align-items: center;\\n    cursor: pointer;\\n    position: relative;\\n    overflow: hidden;\\n    padding: \").concat(dt('listbox.option.padding'), \";\\n    border: 0 none;\\n    border-radius: \").concat(dt('listbox.option.border.radius'), \";\\n    color: \").concat(dt('listbox.option.color'), \";\\n    transition: background \").concat(dt('listbox.transition.duration'), \", color \").concat(dt('listbox.transition.duration'), \", border-color \").concat(dt('listbox.transition.duration'), \",\\n            box-shadow \").concat(dt('listbox.transition.duration'), \", outline-color \").concat(dt('listbox.transition.duration'), \";\\n}\\n\\n.p-listbox-striped li:nth-child(even of .p-listbox-option) {\\n    background: \").concat(dt('listbox.option.striped.background'), \";\\n}\\n\\n.p-listbox .p-listbox-list .p-listbox-option.p-listbox-option-selected {\\n    background: \").concat(dt('listbox.option.selected.background'), \";\\n    color: \").concat(dt('listbox.option.selected.color'), \";\\n}\\n\\n.p-listbox:not(.p-disabled) .p-listbox-option.p-listbox-option-selected.p-focus {\\n    background: \").concat(dt('listbox.option.selected.focus.background'), \";\\n    color: \").concat(dt('listbox.option.selected.focus.color'), \";\\n}\\n\\n.p-listbox:not(.p-disabled) .p-listbox-option:not(.p-listbox-option-selected):not(.p-disabled).p-focus {\\n    background: \").concat(dt('listbox.option.focus.background'), \";\\n    color: \").concat(dt('listbox.option.focus.color'), \";\\n}\\n\\n.p-listbox:not(.p-disabled) .p-listbox-option:not(.p-listbox-option-selected):not(.p-disabled):hover {\\n    background: \").concat(dt('listbox.option.focus.background'), \";\\n    color: \").concat(dt('listbox.option.focus.color'), \";\\n}\\n\\n.p-listbox-option-check-icon {\\n    position: relative;\\n    margin-inline-start: \").concat(dt('listbox.checkmark.gutter.start'), \";\\n    margin-inline-end: \").concat(dt('listbox.checkmark.gutter.end'), \";\\n    color: \").concat(dt('listbox.checkmark.color'), \";\\n}\\n\\n.p-listbox-option-group {\\n    margin: 0;\\n    padding: \").concat(dt('listbox.option.group.padding'), \";\\n    color: \").concat(dt('listbox.option.group.color'), \";\\n    background: \").concat(dt('listbox.option.group.background'), \";\\n    font-weight: \").concat(dt('listbox.option.group.font.weight'), \";\\n}\\n\\n.p-listbox-empty-message {\\n    padding: \").concat(dt('listbox.empty.message.padding'), \";\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var props = _ref2.props;\n    return ['p-listbox p-component', {\n      'p-listbox-striped': props.striped,\n      'p-disabled': props.disabled,\n      'p-invalid': props.invalid\n    }];\n  },\n  header: 'p-listbox-header',\n  pcFilter: 'p-listbox-filter',\n  listContainer: 'p-listbox-list-container',\n  list: 'p-listbox-list',\n  optionGroup: 'p-listbox-option-group',\n  option: function option(_ref3) {\n    var instance = _ref3.instance,\n      props = _ref3.props,\n      _option = _ref3.option,\n      index = _ref3.index,\n      getItemOptions = _ref3.getItemOptions;\n    return ['p-listbox-option', {\n      'p-listbox-option-selected': instance.isSelected(_option) && props.highlightOnSelect,\n      'p-focus': instance.focusedOptionIndex === instance.getOptionIndex(index, getItemOptions),\n      'p-disabled': instance.isOptionDisabled(_option)\n    }];\n  },\n  optionCheckIcon: 'p-listbox-option-check-icon',\n  optionBlankIcon: 'p-listbox-option-blank-icon',\n  emptyMessage: 'p-listbox-empty-message'\n};\nvar ListboxStyle = BaseStyle.extend({\n  name: 'listbox',\n  theme: theme,\n  classes: classes\n});\n\nexport { ListboxStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { FilterService } from '@primevue/core/api';\nimport { UniqueComponentId } from '@primevue/core/utils';\nimport { focus, getFirstFocusableElement, isElement, findSingle } from '@primeuix/utils/dom';\nimport { resolveFieldData, isPrintableCharacter, isNotEmpty, equals, findLastIndex } from '@primeuix/utils/object';\nimport BlankIcon from '@primevue/icons/blank';\nimport CheckIcon from '@primevue/icons/check';\nimport SearchIcon from '@primevue/icons/search';\nimport IconField from 'primevue/iconfield';\nimport InputIcon from 'primevue/inputicon';\nimport InputText from 'primevue/inputtext';\nimport Ripple from 'primevue/ripple';\nimport VirtualScroller from 'primevue/virtualscroller';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport ListboxStyle from 'primevue/listbox/style';\nimport { resolveComponent, resolveDirective, openBlock, createElementBlock, mergeProps, createElementVNode, normalizeClass, renderSlot, createCommentVNode, createVNode, withCtx, createBlock, normalizeProps, toDisplayString, createSlots, Fragment, renderList, createTextVNode, withDirectives } from 'vue';\n\nvar script$1 = {\n  name: 'BaseListbox',\n  \"extends\": BaseComponent,\n  props: {\n    modelValue: null,\n    options: Array,\n    optionLabel: null,\n    optionValue: null,\n    optionDisabled: null,\n    optionGroupLabel: null,\n    optionGroupChildren: null,\n    listStyle: null,\n    scrollHeight: {\n      type: String,\n      \"default\": '14rem'\n    },\n    invalid: {\n      type: Boolean,\n      \"default\": false\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    dataKey: null,\n    multiple: {\n      type: Boolean,\n      \"default\": false\n    },\n    metaKeySelection: {\n      type: Boolean,\n      \"default\": false\n    },\n    filter: Boolean,\n    filterPlaceholder: String,\n    filterLocale: String,\n    filterMatchMode: {\n      type: String,\n      \"default\": 'contains'\n    },\n    filterFields: {\n      type: Array,\n      \"default\": null\n    },\n    virtualScrollerOptions: {\n      type: Object,\n      \"default\": null\n    },\n    autoOptionFocus: {\n      type: Boolean,\n      \"default\": true\n    },\n    selectOnFocus: {\n      type: Boolean,\n      \"default\": false\n    },\n    focusOnHover: {\n      type: Boolean,\n      \"default\": true\n    },\n    highlightOnSelect: {\n      type: Boolean,\n      \"default\": true\n    },\n    checkmark: {\n      type: Boolean,\n      \"default\": false\n    },\n    filterMessage: {\n      type: String,\n      \"default\": null\n    },\n    selectionMessage: {\n      type: String,\n      \"default\": null\n    },\n    emptySelectionMessage: {\n      type: String,\n      \"default\": null\n    },\n    emptyFilterMessage: {\n      type: String,\n      \"default\": null\n    },\n    emptyMessage: {\n      type: String,\n      \"default\": null\n    },\n    filterIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    striped: {\n      type: Boolean,\n      \"default\": false\n    },\n    tabindex: {\n      type: Number,\n      \"default\": 0\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    },\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: ListboxStyle,\n  provide: function provide() {\n    return {\n      $pcListbox: this,\n      $parentInstance: this\n    };\n  }\n};\n\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar script = {\n  name: 'Listbox',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue', 'change', 'focus', 'blur', 'filter', 'item-dblclick', 'option-dblclick'],\n  list: null,\n  virtualScroller: null,\n  optionTouched: false,\n  startRangeIndex: -1,\n  searchTimeout: null,\n  searchValue: '',\n  data: function data() {\n    return {\n      id: this.$attrs.id,\n      filterValue: null,\n      focused: false,\n      focusedOptionIndex: -1\n    };\n  },\n  watch: {\n    '$attrs.id': function $attrsId(newValue) {\n      this.id = newValue || UniqueComponentId();\n    },\n    options: function options() {\n      this.autoUpdateModel();\n    }\n  },\n  mounted: function mounted() {\n    this.id = this.id || UniqueComponentId();\n    this.autoUpdateModel();\n  },\n  methods: {\n    getOptionIndex: function getOptionIndex(index, fn) {\n      return this.virtualScrollerDisabled ? index : fn && fn(index)['index'];\n    },\n    getOptionLabel: function getOptionLabel(option) {\n      return this.optionLabel ? resolveFieldData(option, this.optionLabel) : typeof option === 'string' ? option : null;\n    },\n    getOptionValue: function getOptionValue(option) {\n      return this.optionValue ? resolveFieldData(option, this.optionValue) : option;\n    },\n    getOptionRenderKey: function getOptionRenderKey(option, index) {\n      return (this.dataKey ? resolveFieldData(option, this.dataKey) : this.getOptionLabel(option)) + '_' + index;\n    },\n    getPTOptions: function getPTOptions(option, itemOptions, index, key) {\n      return this.ptm(key, {\n        context: {\n          selected: this.isSelected(option),\n          focused: this.focusedOptionIndex === this.getOptionIndex(index, itemOptions),\n          disabled: this.isOptionDisabled(option)\n        }\n      });\n    },\n    isOptionDisabled: function isOptionDisabled(option) {\n      return this.optionDisabled ? resolveFieldData(option, this.optionDisabled) : false;\n    },\n    isOptionGroup: function isOptionGroup(option) {\n      return this.optionGroupLabel && option.optionGroup && option.group;\n    },\n    getOptionGroupLabel: function getOptionGroupLabel(optionGroup) {\n      return resolveFieldData(optionGroup, this.optionGroupLabel);\n    },\n    getOptionGroupChildren: function getOptionGroupChildren(optionGroup) {\n      return resolveFieldData(optionGroup, this.optionGroupChildren);\n    },\n    getAriaPosInset: function getAriaPosInset(index) {\n      var _this = this;\n      return (this.optionGroupLabel ? index - this.visibleOptions.slice(0, index).filter(function (option) {\n        return _this.isOptionGroup(option);\n      }).length : index) + 1;\n    },\n    onFirstHiddenFocus: function onFirstHiddenFocus() {\n      focus(this.list);\n      var firstFocusableEl = getFirstFocusableElement(this.$el, ':not([data-p-hidden-focusable=\"true\"])');\n      this.$refs.lastHiddenFocusableElement.tabIndex = isElement(firstFocusableEl) ? undefined : -1;\n      this.$refs.firstHiddenFocusableElement.tabIndex = -1;\n    },\n    onLastHiddenFocus: function onLastHiddenFocus(event) {\n      var relatedTarget = event.relatedTarget;\n      if (relatedTarget === this.list) {\n        var firstFocusableEl = getFirstFocusableElement(this.$el, ':not([data-p-hidden-focusable=\"true\"])');\n        focus(firstFocusableEl);\n        this.$refs.firstHiddenFocusableElement.tabIndex = undefined;\n      } else {\n        focus(this.$refs.firstHiddenFocusableElement);\n      }\n      this.$refs.lastHiddenFocusableElement.tabIndex = -1;\n    },\n    onFocusout: function onFocusout(event) {\n      if (!this.$el.contains(event.relatedTarget) && this.$refs.lastHiddenFocusableElement && this.$refs.firstHiddenFocusableElement) {\n        this.$refs.lastHiddenFocusableElement.tabIndex = this.$refs.firstHiddenFocusableElement.tabIndex = undefined;\n      }\n    },\n    onListFocus: function onListFocus(event) {\n      this.focused = true;\n      this.focusedOptionIndex = this.focusedOptionIndex !== -1 ? this.focusedOptionIndex : this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : this.findSelectedOptionIndex();\n      this.autoUpdateModel();\n      this.$emit('focus', event);\n    },\n    onListBlur: function onListBlur(event) {\n      this.focused = false;\n      this.focusedOptionIndex = this.startRangeIndex = -1;\n      this.searchValue = '';\n      this.$emit('blur', event);\n    },\n    onListKeyDown: function onListKeyDown(event) {\n      var _this2 = this;\n      var metaKey = event.metaKey || event.ctrlKey;\n      switch (event.code) {\n        case 'ArrowDown':\n          this.onArrowDownKey(event);\n          break;\n        case 'ArrowUp':\n          this.onArrowUpKey(event);\n          break;\n        case 'Home':\n          this.onHomeKey(event);\n          break;\n        case 'End':\n          this.onEndKey(event);\n          break;\n        case 'PageDown':\n          this.onPageDownKey(event);\n          break;\n        case 'PageUp':\n          this.onPageUpKey(event);\n          break;\n        case 'Enter':\n        case 'NumpadEnter':\n        case 'Space':\n          this.onSpaceKey(event);\n          break;\n        case 'Tab':\n          //NOOP\n          break;\n        case 'ShiftLeft':\n        case 'ShiftRight':\n          this.onShiftKey(event);\n          break;\n        default:\n          if (this.multiple && event.code === 'KeyA' && metaKey) {\n            var value = this.visibleOptions.filter(function (option) {\n              return _this2.isValidOption(option);\n            }).map(function (option) {\n              return _this2.getOptionValue(option);\n            });\n            this.updateModel(event, value);\n            event.preventDefault();\n            break;\n          }\n          if (!metaKey && isPrintableCharacter(event.key)) {\n            this.searchOptions(event, event.key);\n            event.preventDefault();\n          }\n          break;\n      }\n    },\n    onOptionSelect: function onOptionSelect(event, option) {\n      var index = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : -1;\n      if (this.disabled || this.isOptionDisabled(option)) {\n        return;\n      }\n      this.multiple ? this.onOptionSelectMultiple(event, option) : this.onOptionSelectSingle(event, option);\n      this.optionTouched = false;\n      index !== -1 && (this.focusedOptionIndex = index);\n    },\n    onOptionMouseDown: function onOptionMouseDown(event, index) {\n      this.changeFocusedOptionIndex(event, index);\n    },\n    onOptionMouseMove: function onOptionMouseMove(event, index) {\n      if (this.focusOnHover && this.focused) {\n        this.changeFocusedOptionIndex(event, index);\n      }\n    },\n    onOptionTouchEnd: function onOptionTouchEnd() {\n      if (this.disabled) {\n        return;\n      }\n      this.optionTouched = true;\n    },\n    onOptionDblClick: function onOptionDblClick(event, item) {\n      this.$emit('item-dblclick', {\n        originalEvent: event,\n        value: item\n      });\n      this.$emit('option-dblclick', {\n        originalEvent: event,\n        value: item\n      });\n    },\n    onOptionSelectSingle: function onOptionSelectSingle(event, option) {\n      var selected = this.isSelected(option);\n      var valueChanged = false;\n      var value = null;\n      var metaSelection = this.optionTouched ? false : this.metaKeySelection;\n      if (metaSelection) {\n        var metaKey = event && (event.metaKey || event.ctrlKey);\n        if (selected) {\n          if (metaKey) {\n            value = null;\n            valueChanged = true;\n          }\n        } else {\n          value = this.getOptionValue(option);\n          valueChanged = true;\n        }\n      } else {\n        value = selected ? null : this.getOptionValue(option);\n        valueChanged = true;\n      }\n      if (valueChanged) {\n        this.updateModel(event, value);\n      }\n    },\n    onOptionSelectMultiple: function onOptionSelectMultiple(event, option) {\n      var selected = this.isSelected(option);\n      var value = null;\n      var metaSelection = this.optionTouched ? false : this.metaKeySelection;\n      if (metaSelection) {\n        var metaKey = event.metaKey || event.ctrlKey;\n        if (selected) {\n          value = metaKey ? this.removeOption(option) : [this.getOptionValue(option)];\n        } else {\n          value = metaKey ? this.modelValue || [] : [];\n          value = [].concat(_toConsumableArray(value), [this.getOptionValue(option)]);\n        }\n      } else {\n        value = selected ? this.removeOption(option) : [].concat(_toConsumableArray(this.modelValue || []), [this.getOptionValue(option)]);\n      }\n      this.updateModel(event, value);\n    },\n    onOptionSelectRange: function onOptionSelectRange(event) {\n      var _this3 = this;\n      var start = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : -1;\n      var end = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : -1;\n      start === -1 && (start = this.findNearestSelectedOptionIndex(end, true));\n      end === -1 && (end = this.findNearestSelectedOptionIndex(start));\n      if (start !== -1 && end !== -1) {\n        var rangeStart = Math.min(start, end);\n        var rangeEnd = Math.max(start, end);\n        var value = this.visibleOptions.slice(rangeStart, rangeEnd + 1).filter(function (option) {\n          return _this3.isValidOption(option);\n        }).map(function (option) {\n          return _this3.getOptionValue(option);\n        });\n        this.updateModel(event, value);\n      }\n    },\n    onFilterChange: function onFilterChange(event) {\n      this.$emit('filter', {\n        originalEvent: event,\n        value: event.target.value\n      });\n      this.focusedOptionIndex = this.startRangeIndex = -1;\n    },\n    onFilterBlur: function onFilterBlur() {\n      this.focusedOptionIndex = this.startRangeIndex = -1;\n    },\n    onFilterKeyDown: function onFilterKeyDown(event) {\n      switch (event.code) {\n        case 'ArrowDown':\n          this.onArrowDownKey(event);\n          break;\n        case 'ArrowUp':\n          this.onArrowUpKey(event);\n          break;\n        case 'ArrowLeft':\n        case 'ArrowRight':\n          this.onArrowLeftKey(event, true);\n          break;\n        case 'Home':\n          this.onHomeKey(event, true);\n          break;\n        case 'End':\n          this.onEndKey(event, true);\n          break;\n        case 'Enter':\n        case 'NumpadEnter':\n          this.onEnterKey(event);\n          break;\n        case 'ShiftLeft':\n        case 'ShiftRight':\n          this.onShiftKey(event);\n          break;\n      }\n    },\n    onArrowDownKey: function onArrowDownKey(event) {\n      var optionIndex = this.focusedOptionIndex !== -1 ? this.findNextOptionIndex(this.focusedOptionIndex) : this.findFirstFocusedOptionIndex();\n      if (this.multiple && event.shiftKey) {\n        this.onOptionSelectRange(event, this.startRangeIndex, optionIndex);\n      }\n      this.changeFocusedOptionIndex(event, optionIndex);\n      event.preventDefault();\n    },\n    onArrowUpKey: function onArrowUpKey(event) {\n      var optionIndex = this.focusedOptionIndex !== -1 ? this.findPrevOptionIndex(this.focusedOptionIndex) : this.findLastFocusedOptionIndex();\n      if (this.multiple && event.shiftKey) {\n        this.onOptionSelectRange(event, optionIndex, this.startRangeIndex);\n      }\n      this.changeFocusedOptionIndex(event, optionIndex);\n      event.preventDefault();\n    },\n    onArrowLeftKey: function onArrowLeftKey(event) {\n      var pressedInInputText = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      pressedInInputText && (this.focusedOptionIndex = -1);\n    },\n    onHomeKey: function onHomeKey(event) {\n      var pressedInInputText = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      if (pressedInInputText) {\n        var target = event.currentTarget;\n        if (event.shiftKey) {\n          target.setSelectionRange(0, event.target.selectionStart);\n        } else {\n          target.setSelectionRange(0, 0);\n          this.focusedOptionIndex = -1;\n        }\n      } else {\n        var metaKey = event.metaKey || event.ctrlKey;\n        var optionIndex = this.findFirstOptionIndex();\n        if (this.multiple && event.shiftKey && metaKey) {\n          this.onOptionSelectRange(event, optionIndex, this.startRangeIndex);\n        }\n        this.changeFocusedOptionIndex(event, optionIndex);\n      }\n      event.preventDefault();\n    },\n    onEndKey: function onEndKey(event) {\n      var pressedInInputText = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      if (pressedInInputText) {\n        var target = event.currentTarget;\n        if (event.shiftKey) {\n          target.setSelectionRange(event.target.selectionStart, target.value.length);\n        } else {\n          var len = target.value.length;\n          target.setSelectionRange(len, len);\n          this.focusedOptionIndex = -1;\n        }\n      } else {\n        var metaKey = event.metaKey || event.ctrlKey;\n        var optionIndex = this.findLastOptionIndex();\n        if (this.multiple && event.shiftKey && metaKey) {\n          this.onOptionSelectRange(event, this.startRangeIndex, optionIndex);\n        }\n        this.changeFocusedOptionIndex(event, optionIndex);\n      }\n      event.preventDefault();\n    },\n    onPageUpKey: function onPageUpKey(event) {\n      this.scrollInView(0);\n      event.preventDefault();\n    },\n    onPageDownKey: function onPageDownKey(event) {\n      this.scrollInView(this.visibleOptions.length - 1);\n      event.preventDefault();\n    },\n    onEnterKey: function onEnterKey(event) {\n      if (this.focusedOptionIndex !== -1) {\n        if (this.multiple && event.shiftKey) this.onOptionSelectRange(event, this.focusedOptionIndex);else this.onOptionSelect(event, this.visibleOptions[this.focusedOptionIndex]);\n      }\n    },\n    onSpaceKey: function onSpaceKey(event) {\n      event.preventDefault();\n      this.onEnterKey(event);\n    },\n    onShiftKey: function onShiftKey() {\n      this.startRangeIndex = this.focusedOptionIndex;\n    },\n    isOptionMatched: function isOptionMatched(option) {\n      var _this$getOptionLabel;\n      return this.isValidOption(option) && typeof this.getOptionLabel(option) === 'string' && ((_this$getOptionLabel = this.getOptionLabel(option)) === null || _this$getOptionLabel === void 0 ? void 0 : _this$getOptionLabel.toLocaleLowerCase(this.filterLocale).startsWith(this.searchValue.toLocaleLowerCase(this.filterLocale)));\n    },\n    isValidOption: function isValidOption(option) {\n      return isNotEmpty(option) && !(this.isOptionDisabled(option) || this.isOptionGroup(option));\n    },\n    isValidSelectedOption: function isValidSelectedOption(option) {\n      return this.isValidOption(option) && this.isSelected(option);\n    },\n    isEquals: function isEquals(value1, value2) {\n      return equals(value1, value2, this.equalityKey);\n    },\n    isSelected: function isSelected(option) {\n      var _this4 = this;\n      var optionValue = this.getOptionValue(option);\n      if (this.multiple) return (this.modelValue || []).some(function (value) {\n        return _this4.isEquals(value, optionValue);\n      });else return this.isEquals(this.modelValue, optionValue);\n    },\n    findFirstOptionIndex: function findFirstOptionIndex() {\n      var _this5 = this;\n      return this.visibleOptions.findIndex(function (option) {\n        return _this5.isValidOption(option);\n      });\n    },\n    findLastOptionIndex: function findLastOptionIndex() {\n      var _this6 = this;\n      return findLastIndex(this.visibleOptions, function (option) {\n        return _this6.isValidOption(option);\n      });\n    },\n    findNextOptionIndex: function findNextOptionIndex(index) {\n      var _this7 = this;\n      var matchedOptionIndex = index < this.visibleOptions.length - 1 ? this.visibleOptions.slice(index + 1).findIndex(function (option) {\n        return _this7.isValidOption(option);\n      }) : -1;\n      return matchedOptionIndex > -1 ? matchedOptionIndex + index + 1 : index;\n    },\n    findPrevOptionIndex: function findPrevOptionIndex(index) {\n      var _this8 = this;\n      var matchedOptionIndex = index > 0 ? findLastIndex(this.visibleOptions.slice(0, index), function (option) {\n        return _this8.isValidOption(option);\n      }) : -1;\n      return matchedOptionIndex > -1 ? matchedOptionIndex : index;\n    },\n    findSelectedOptionIndex: function findSelectedOptionIndex() {\n      var _this9 = this;\n      if (this.hasSelectedOption) {\n        if (this.multiple) {\n          var _loop = function _loop() {\n              var value = _this9.modelValue[index];\n              var matchedOptionIndex = _this9.visibleOptions.findIndex(function (option) {\n                return _this9.isValidSelectedOption(option) && _this9.isEquals(value, _this9.getOptionValue(option));\n              });\n              if (matchedOptionIndex > -1) return {\n                v: matchedOptionIndex\n              };\n            },\n            _ret;\n          for (var index = this.modelValue.length - 1; index >= 0; index--) {\n            _ret = _loop();\n            if (_ret) return _ret.v;\n          }\n        } else {\n          return this.visibleOptions.findIndex(function (option) {\n            return _this9.isValidSelectedOption(option);\n          });\n        }\n      }\n      return -1;\n    },\n    findFirstSelectedOptionIndex: function findFirstSelectedOptionIndex() {\n      var _this10 = this;\n      return this.hasSelectedOption ? this.visibleOptions.findIndex(function (option) {\n        return _this10.isValidSelectedOption(option);\n      }) : -1;\n    },\n    findLastSelectedOptionIndex: function findLastSelectedOptionIndex() {\n      var _this11 = this;\n      return this.hasSelectedOption ? findLastIndex(this.visibleOptions, function (option) {\n        return _this11.isValidSelectedOption(option);\n      }) : -1;\n    },\n    findNextSelectedOptionIndex: function findNextSelectedOptionIndex(index) {\n      var _this12 = this;\n      var matchedOptionIndex = this.hasSelectedOption && index < this.visibleOptions.length - 1 ? this.visibleOptions.slice(index + 1).findIndex(function (option) {\n        return _this12.isValidSelectedOption(option);\n      }) : -1;\n      return matchedOptionIndex > -1 ? matchedOptionIndex + index + 1 : -1;\n    },\n    findPrevSelectedOptionIndex: function findPrevSelectedOptionIndex(index) {\n      var _this13 = this;\n      var matchedOptionIndex = this.hasSelectedOption && index > 0 ? findLastIndex(this.visibleOptions.slice(0, index), function (option) {\n        return _this13.isValidSelectedOption(option);\n      }) : -1;\n      return matchedOptionIndex > -1 ? matchedOptionIndex : -1;\n    },\n    findNearestSelectedOptionIndex: function findNearestSelectedOptionIndex(index) {\n      var firstCheckUp = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      var matchedOptionIndex = -1;\n      if (this.hasSelectedOption) {\n        if (firstCheckUp) {\n          matchedOptionIndex = this.findPrevSelectedOptionIndex(index);\n          matchedOptionIndex = matchedOptionIndex === -1 ? this.findNextSelectedOptionIndex(index) : matchedOptionIndex;\n        } else {\n          matchedOptionIndex = this.findNextSelectedOptionIndex(index);\n          matchedOptionIndex = matchedOptionIndex === -1 ? this.findPrevSelectedOptionIndex(index) : matchedOptionIndex;\n        }\n      }\n      return matchedOptionIndex > -1 ? matchedOptionIndex : index;\n    },\n    findFirstFocusedOptionIndex: function findFirstFocusedOptionIndex() {\n      var selectedIndex = this.findFirstSelectedOptionIndex();\n      return selectedIndex < 0 ? this.findFirstOptionIndex() : selectedIndex;\n    },\n    findLastFocusedOptionIndex: function findLastFocusedOptionIndex() {\n      var selectedIndex = this.findLastSelectedOptionIndex();\n      return selectedIndex < 0 ? this.findLastOptionIndex() : selectedIndex;\n    },\n    searchOptions: function searchOptions(event, _char) {\n      var _this14 = this;\n      this.searchValue = (this.searchValue || '') + _char;\n      var optionIndex = -1;\n      if (isNotEmpty(this.searchValue)) {\n        if (this.focusedOptionIndex !== -1) {\n          optionIndex = this.visibleOptions.slice(this.focusedOptionIndex).findIndex(function (option) {\n            return _this14.isOptionMatched(option);\n          });\n          optionIndex = optionIndex === -1 ? this.visibleOptions.slice(0, this.focusedOptionIndex).findIndex(function (option) {\n            return _this14.isOptionMatched(option);\n          }) : optionIndex + this.focusedOptionIndex;\n        } else {\n          optionIndex = this.visibleOptions.findIndex(function (option) {\n            return _this14.isOptionMatched(option);\n          });\n        }\n        if (optionIndex === -1 && this.focusedOptionIndex === -1) {\n          optionIndex = this.findFirstFocusedOptionIndex();\n        }\n        if (optionIndex !== -1) {\n          this.changeFocusedOptionIndex(event, optionIndex);\n        }\n      }\n      if (this.searchTimeout) {\n        clearTimeout(this.searchTimeout);\n      }\n      this.searchTimeout = setTimeout(function () {\n        _this14.searchValue = '';\n        _this14.searchTimeout = null;\n      }, 500);\n    },\n    removeOption: function removeOption(option) {\n      var _this15 = this;\n      return this.modelValue.filter(function (val) {\n        return !equals(val, _this15.getOptionValue(option), _this15.equalityKey);\n      });\n    },\n    changeFocusedOptionIndex: function changeFocusedOptionIndex(event, index) {\n      if (this.focusedOptionIndex !== index) {\n        this.focusedOptionIndex = index;\n        this.scrollInView();\n        if (this.selectOnFocus && !this.multiple) {\n          this.onOptionSelect(event, this.visibleOptions[index]);\n        }\n      }\n    },\n    scrollInView: function scrollInView() {\n      var _this16 = this;\n      var index = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : -1;\n      this.$nextTick(function () {\n        var id = index !== -1 ? \"\".concat(_this16.id, \"_\").concat(index) : _this16.focusedOptionId;\n        var element = findSingle(_this16.list, \"li[id=\\\"\".concat(id, \"\\\"]\"));\n        if (element) {\n          element.scrollIntoView && element.scrollIntoView({\n            block: 'nearest',\n            inline: 'nearest',\n            behavior: 'smooth'\n          });\n        } else if (!_this16.virtualScrollerDisabled) {\n          _this16.virtualScroller && _this16.virtualScroller.scrollToIndex(index !== -1 ? index : _this16.focusedOptionIndex);\n        }\n      });\n    },\n    autoUpdateModel: function autoUpdateModel() {\n      if (this.selectOnFocus && this.autoOptionFocus && !this.hasSelectedOption && !this.multiple && this.focused) {\n        this.focusedOptionIndex = this.findFirstFocusedOptionIndex();\n        this.onOptionSelect(null, this.visibleOptions[this.focusedOptionIndex]);\n      }\n    },\n    updateModel: function updateModel(event, value) {\n      this.$emit('update:modelValue', value);\n      this.$emit('change', {\n        originalEvent: event,\n        value: value\n      });\n    },\n    flatOptions: function flatOptions(options) {\n      var _this17 = this;\n      return (options || []).reduce(function (result, option, index) {\n        result.push({\n          optionGroup: option,\n          group: true,\n          index: index\n        });\n        var optionGroupChildren = _this17.getOptionGroupChildren(option);\n        optionGroupChildren && optionGroupChildren.forEach(function (o) {\n          return result.push(o);\n        });\n        return result;\n      }, []);\n    },\n    listRef: function listRef(el, contentRef) {\n      this.list = el;\n      contentRef && contentRef(el); // For VirtualScroller\n    },\n    virtualScrollerRef: function virtualScrollerRef(el) {\n      this.virtualScroller = el;\n    }\n  },\n  computed: {\n    visibleOptions: function visibleOptions() {\n      var options = this.optionGroupLabel ? this.flatOptions(this.options) : this.options || [];\n      return this.filterValue ? FilterService.filter(options, this.searchFields, this.filterValue, this.filterMatchMode, this.filterLocale) : options;\n    },\n    hasSelectedOption: function hasSelectedOption() {\n      return isNotEmpty(this.modelValue);\n    },\n    equalityKey: function equalityKey() {\n      return this.optionValue ? null : this.dataKey;\n    },\n    searchFields: function searchFields() {\n      return this.filterFields || [this.optionLabel];\n    },\n    filterResultMessageText: function filterResultMessageText() {\n      return isNotEmpty(this.visibleOptions) ? this.filterMessageText.replaceAll('{0}', this.visibleOptions.length) : this.emptyFilterMessageText;\n    },\n    filterMessageText: function filterMessageText() {\n      return this.filterMessage || this.$primevue.config.locale.searchMessage || '';\n    },\n    emptyFilterMessageText: function emptyFilterMessageText() {\n      return this.emptyFilterMessage || this.$primevue.config.locale.emptySearchMessage || this.$primevue.config.locale.emptyFilterMessage || '';\n    },\n    emptyMessageText: function emptyMessageText() {\n      return this.emptyMessage || this.$primevue.config.locale.emptyMessage || '';\n    },\n    selectionMessageText: function selectionMessageText() {\n      return this.selectionMessage || this.$primevue.config.locale.selectionMessage || '';\n    },\n    emptySelectionMessageText: function emptySelectionMessageText() {\n      return this.emptySelectionMessage || this.$primevue.config.locale.emptySelectionMessage || '';\n    },\n    selectedMessageText: function selectedMessageText() {\n      return this.hasSelectedOption ? this.selectionMessageText.replaceAll('{0}', this.multiple ? this.modelValue.length : '1') : this.emptySelectionMessageText;\n    },\n    focusedOptionId: function focusedOptionId() {\n      return this.focusedOptionIndex !== -1 ? \"\".concat(this.id, \"_\").concat(this.focusedOptionIndex) : null;\n    },\n    ariaSetSize: function ariaSetSize() {\n      var _this18 = this;\n      return this.visibleOptions.filter(function (option) {\n        return !_this18.isOptionGroup(option);\n      }).length;\n    },\n    virtualScrollerDisabled: function virtualScrollerDisabled() {\n      return !this.virtualScrollerOptions;\n    }\n  },\n  directives: {\n    ripple: Ripple\n  },\n  components: {\n    InputText: InputText,\n    VirtualScroller: VirtualScroller,\n    InputIcon: InputIcon,\n    IconField: IconField,\n    SearchIcon: SearchIcon,\n    CheckIcon: CheckIcon,\n    BlankIcon: BlankIcon\n  }\n};\n\nvar _hoisted_1 = [\"id\"];\nvar _hoisted_2 = [\"tabindex\"];\nvar _hoisted_3 = [\"id\", \"aria-multiselectable\", \"aria-label\", \"aria-labelledby\", \"aria-activedescendant\", \"aria-disabled\"];\nvar _hoisted_4 = [\"id\"];\nvar _hoisted_5 = [\"id\", \"aria-label\", \"aria-selected\", \"aria-disabled\", \"aria-setsize\", \"aria-posinset\", \"onClick\", \"onMousedown\", \"onMousemove\", \"onDblclick\", \"data-p-selected\", \"data-p-focused\", \"data-p-disabled\"];\nvar _hoisted_6 = [\"tabindex\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_InputText = resolveComponent(\"InputText\");\n  var _component_SearchIcon = resolveComponent(\"SearchIcon\");\n  var _component_InputIcon = resolveComponent(\"InputIcon\");\n  var _component_IconField = resolveComponent(\"IconField\");\n  var _component_CheckIcon = resolveComponent(\"CheckIcon\");\n  var _component_BlankIcon = resolveComponent(\"BlankIcon\");\n  var _component_VirtualScroller = resolveComponent(\"VirtualScroller\");\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    id: $data.id,\n    \"class\": _ctx.cx('root'),\n    onFocusout: _cache[7] || (_cache[7] = function () {\n      return $options.onFocusout && $options.onFocusout.apply($options, arguments);\n    })\n  }, _ctx.ptmi('root')), [createElementVNode(\"span\", mergeProps({\n    ref: \"firstHiddenFocusableElement\",\n    role: \"presentation\",\n    \"aria-hidden\": \"true\",\n    \"class\": \"p-hidden-accessible p-hidden-focusable\",\n    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,\n    onFocus: _cache[0] || (_cache[0] = function () {\n      return $options.onFirstHiddenFocus && $options.onFirstHiddenFocus.apply($options, arguments);\n    })\n  }, _ctx.ptm('hiddenFirstFocusableEl'), {\n    \"data-p-hidden-accessible\": true,\n    \"data-p-hidden-focusable\": true\n  }), null, 16, _hoisted_2), _ctx.$slots.header ? (openBlock(), createElementBlock(\"div\", {\n    key: 0,\n    \"class\": normalizeClass(_ctx.cx('header'))\n  }, [renderSlot(_ctx.$slots, \"header\", {\n    value: _ctx.modelValue,\n    options: $options.visibleOptions\n  })], 2)) : createCommentVNode(\"\", true), _ctx.filter ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 1,\n    \"class\": _ctx.cx('header')\n  }, _ctx.ptm('header')), [createVNode(_component_IconField, mergeProps({\n    unstyled: _ctx.unstyled\n  }, _ctx.ptm('pcFilterContainer')), {\n    \"default\": withCtx(function () {\n      return [createVNode(_component_InputText, {\n        modelValue: $data.filterValue,\n        \"onUpdate:modelValue\": _cache[1] || (_cache[1] = function ($event) {\n          return $data.filterValue = $event;\n        }),\n        type: \"text\",\n        \"class\": normalizeClass(_ctx.cx('pcFilter')),\n        placeholder: _ctx.filterPlaceholder,\n        role: \"searchbox\",\n        autocomplete: \"off\",\n        disabled: _ctx.disabled,\n        unstyled: _ctx.unstyled,\n        \"aria-owns\": $data.id + '_list',\n        \"aria-activedescendant\": $options.focusedOptionId,\n        tabindex: !_ctx.disabled && !$data.focused ? _ctx.tabindex : -1,\n        onInput: $options.onFilterChange,\n        onBlur: $options.onFilterBlur,\n        onKeydown: $options.onFilterKeyDown,\n        pt: _ctx.ptm('pcFilter')\n      }, null, 8, [\"modelValue\", \"class\", \"placeholder\", \"disabled\", \"unstyled\", \"aria-owns\", \"aria-activedescendant\", \"tabindex\", \"onInput\", \"onBlur\", \"onKeydown\", \"pt\"]), createVNode(_component_InputIcon, mergeProps({\n        unstyled: _ctx.unstyled\n      }, _ctx.ptm('pcFilterIconContainer')), {\n        \"default\": withCtx(function () {\n          return [renderSlot(_ctx.$slots, \"filtericon\", {}, function () {\n            return [_ctx.filterIcon ? (openBlock(), createElementBlock(\"span\", mergeProps({\n              key: 0,\n              \"class\": _ctx.filterIcon\n            }, _ctx.ptm('filterIcon')), null, 16)) : (openBlock(), createBlock(_component_SearchIcon, normalizeProps(mergeProps({\n              key: 1\n            }, _ctx.ptm('filterIcon'))), null, 16))];\n          })];\n        }),\n        _: 3\n      }, 16, [\"unstyled\"])];\n    }),\n    _: 3\n  }, 16, [\"unstyled\"]), createElementVNode(\"span\", mergeProps({\n    role: \"status\",\n    \"aria-live\": \"polite\",\n    \"class\": \"p-hidden-accessible\"\n  }, _ctx.ptm('hiddenFilterResult'), {\n    \"data-p-hidden-accessible\": true\n  }), toDisplayString($options.filterResultMessageText), 17)], 16)) : createCommentVNode(\"\", true), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('listContainer'),\n    style: [{\n      'max-height': $options.virtualScrollerDisabled ? _ctx.scrollHeight : ''\n    }, _ctx.listStyle]\n  }, _ctx.ptm('listContainer')), [createVNode(_component_VirtualScroller, mergeProps({\n    ref: $options.virtualScrollerRef\n  }, _ctx.virtualScrollerOptions, {\n    items: $options.visibleOptions,\n    style: [{\n      height: _ctx.scrollHeight\n    }, _ctx.listStyle],\n    tabindex: -1,\n    disabled: $options.virtualScrollerDisabled,\n    pt: _ctx.ptm('virtualScroller')\n  }), createSlots({\n    content: withCtx(function (_ref) {\n      var styleClass = _ref.styleClass,\n        contentRef = _ref.contentRef,\n        items = _ref.items,\n        getItemOptions = _ref.getItemOptions,\n        contentStyle = _ref.contentStyle,\n        itemSize = _ref.itemSize;\n      return [createElementVNode(\"ul\", mergeProps({\n        ref: function ref(el) {\n          return $options.listRef(el, contentRef);\n        },\n        id: $data.id + '_list',\n        \"class\": [_ctx.cx('list'), styleClass],\n        style: contentStyle,\n        tabindex: -1,\n        role: \"listbox\",\n        \"aria-multiselectable\": _ctx.multiple,\n        \"aria-label\": _ctx.ariaLabel,\n        \"aria-labelledby\": _ctx.ariaLabelledby,\n        \"aria-activedescendant\": $data.focused ? $options.focusedOptionId : undefined,\n        \"aria-disabled\": _ctx.disabled,\n        onFocus: _cache[3] || (_cache[3] = function () {\n          return $options.onListFocus && $options.onListFocus.apply($options, arguments);\n        }),\n        onBlur: _cache[4] || (_cache[4] = function () {\n          return $options.onListBlur && $options.onListBlur.apply($options, arguments);\n        }),\n        onKeydown: _cache[5] || (_cache[5] = function () {\n          return $options.onListKeyDown && $options.onListKeyDown.apply($options, arguments);\n        })\n      }, _ctx.ptm('list')), [(openBlock(true), createElementBlock(Fragment, null, renderList(items, function (option, i) {\n        return openBlock(), createElementBlock(Fragment, {\n          key: $options.getOptionRenderKey(option, $options.getOptionIndex(i, getItemOptions))\n        }, [$options.isOptionGroup(option) ? (openBlock(), createElementBlock(\"li\", mergeProps({\n          key: 0,\n          id: $data.id + '_' + $options.getOptionIndex(i, getItemOptions),\n          style: {\n            height: itemSize ? itemSize + 'px' : undefined\n          },\n          \"class\": _ctx.cx('optionGroup'),\n          role: \"option\",\n          ref_for: true\n        }, _ctx.ptm('optionGroup')), [renderSlot(_ctx.$slots, \"optiongroup\", {\n          option: option.optionGroup,\n          index: $options.getOptionIndex(i, getItemOptions)\n        }, function () {\n          return [createTextVNode(toDisplayString($options.getOptionGroupLabel(option.optionGroup)), 1)];\n        })], 16, _hoisted_4)) : withDirectives((openBlock(), createElementBlock(\"li\", mergeProps({\n          key: 1,\n          id: $data.id + '_' + $options.getOptionIndex(i, getItemOptions),\n          style: {\n            height: itemSize ? itemSize + 'px' : undefined\n          },\n          \"class\": _ctx.cx('option', {\n            option: option,\n            index: i,\n            getItemOptions: getItemOptions\n          }),\n          role: \"option\",\n          \"aria-label\": $options.getOptionLabel(option),\n          \"aria-selected\": $options.isSelected(option),\n          \"aria-disabled\": $options.isOptionDisabled(option),\n          \"aria-setsize\": $options.ariaSetSize,\n          \"aria-posinset\": $options.getAriaPosInset($options.getOptionIndex(i, getItemOptions)),\n          onClick: function onClick($event) {\n            return $options.onOptionSelect($event, option, $options.getOptionIndex(i, getItemOptions));\n          },\n          onMousedown: function onMousedown($event) {\n            return $options.onOptionMouseDown($event, $options.getOptionIndex(i, getItemOptions));\n          },\n          onMousemove: function onMousemove($event) {\n            return $options.onOptionMouseMove($event, $options.getOptionIndex(i, getItemOptions));\n          },\n          onTouchend: _cache[2] || (_cache[2] = function ($event) {\n            return $options.onOptionTouchEnd();\n          }),\n          onDblclick: function onDblclick($event) {\n            return $options.onOptionDblClick($event, option);\n          },\n          ref_for: true\n        }, $options.getPTOptions(option, getItemOptions, i, 'option'), {\n          \"data-p-selected\": $options.isSelected(option),\n          \"data-p-focused\": $data.focusedOptionIndex === $options.getOptionIndex(i, getItemOptions),\n          \"data-p-disabled\": $options.isOptionDisabled(option)\n        }), [_ctx.checkmark ? (openBlock(), createElementBlock(Fragment, {\n          key: 0\n        }, [$options.isSelected(option) ? (openBlock(), createBlock(_component_CheckIcon, mergeProps({\n          key: 0,\n          \"class\": _ctx.cx('optionCheckIcon'),\n          ref_for: true\n        }, _ctx.ptm('optionCheckIcon')), null, 16, [\"class\"])) : (openBlock(), createBlock(_component_BlankIcon, mergeProps({\n          key: 1,\n          \"class\": _ctx.cx('optionBlankIcon'),\n          ref_for: true\n        }, _ctx.ptm('optionBlankIcon')), null, 16, [\"class\"]))], 64)) : createCommentVNode(\"\", true), renderSlot(_ctx.$slots, \"option\", {\n          option: option,\n          selected: $options.isSelected(option),\n          index: $options.getOptionIndex(i, getItemOptions)\n        }, function () {\n          return [createTextVNode(toDisplayString($options.getOptionLabel(option)), 1)];\n        })], 16, _hoisted_5)), [[_directive_ripple]])], 64);\n      }), 128)), $data.filterValue && (!items || items && items.length === 0) ? (openBlock(), createElementBlock(\"li\", mergeProps({\n        key: 0,\n        \"class\": _ctx.cx('emptyMessage'),\n        role: \"option\"\n      }, _ctx.ptm('emptyMessage')), [renderSlot(_ctx.$slots, \"emptyfilter\", {}, function () {\n        return [createTextVNode(toDisplayString($options.emptyFilterMessageText), 1)];\n      })], 16)) : !_ctx.options || _ctx.options && _ctx.options.length === 0 ? (openBlock(), createElementBlock(\"li\", mergeProps({\n        key: 1,\n        \"class\": _ctx.cx('emptyMessage'),\n        role: \"option\"\n      }, _ctx.ptm('emptyMessage')), [renderSlot(_ctx.$slots, \"empty\", {}, function () {\n        return [createTextVNode(toDisplayString($options.emptyMessageText), 1)];\n      })], 16)) : createCommentVNode(\"\", true)], 16, _hoisted_3)];\n    }),\n    _: 2\n  }, [_ctx.$slots.loader ? {\n    name: \"loader\",\n    fn: withCtx(function (_ref2) {\n      var options = _ref2.options;\n      return [renderSlot(_ctx.$slots, \"loader\", {\n        options: options\n      })];\n    }),\n    key: \"0\"\n  } : undefined]), 1040, [\"items\", \"style\", \"disabled\", \"pt\"])], 16), renderSlot(_ctx.$slots, \"footer\", {\n    value: _ctx.modelValue,\n    options: $options.visibleOptions\n  }), !_ctx.options || _ctx.options && _ctx.options.length === 0 ? (openBlock(), createElementBlock(\"span\", mergeProps({\n    key: 2,\n    role: \"status\",\n    \"aria-live\": \"polite\",\n    \"class\": \"p-hidden-accessible\"\n  }, _ctx.ptm('hiddenEmptyMessage'), {\n    \"data-p-hidden-accessible\": true\n  }), toDisplayString($options.emptyMessageText), 17)) : createCommentVNode(\"\", true), createElementVNode(\"span\", mergeProps({\n    role: \"status\",\n    \"aria-live\": \"polite\",\n    \"class\": \"p-hidden-accessible\"\n  }, _ctx.ptm('hiddenSelectedMessage'), {\n    \"data-p-hidden-accessible\": true\n  }), toDisplayString($options.selectedMessageText), 17), createElementVNode(\"span\", mergeProps({\n    ref: \"lastHiddenFocusableElement\",\n    role: \"presentation\",\n    \"aria-hidden\": \"true\",\n    \"class\": \"p-hidden-accessible p-hidden-focusable\",\n    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,\n    onFocus: _cache[6] || (_cache[6] = function () {\n      return $options.onLastHiddenFocus && $options.onLastHiddenFocus.apply($options, arguments);\n    })\n  }, _ctx.ptm('hiddenLastFocusableEl'), {\n    \"data-p-hidden-accessible\": true,\n    \"data-p-hidden-focusable\": true\n  }), null, 16, _hoisted_6)], 16, _hoisted_1);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import { isNotEmpty, isEmpty } from '@primeuix/utils/object';\nimport BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-badge {\\n    display: inline-flex;\\n    border-radius: \".concat(dt('badge.border.radius'), \";\\n    align-items: center;\\n    justify-content: center;\\n    padding: \").concat(dt('badge.padding'), \";\\n    background: \").concat(dt('badge.primary.background'), \";\\n    color: \").concat(dt('badge.primary.color'), \";\\n    font-size: \").concat(dt('badge.font.size'), \";\\n    font-weight: \").concat(dt('badge.font.weight'), \";\\n    min-width: \").concat(dt('badge.min.width'), \";\\n    height: \").concat(dt('badge.height'), \";\\n}\\n\\n.p-badge-dot {\\n    width: \").concat(dt('badge.dot.size'), \";\\n    min-width: \").concat(dt('badge.dot.size'), \";\\n    height: \").concat(dt('badge.dot.size'), \";\\n    border-radius: 50%;\\n    padding: 0;\\n}\\n\\n.p-badge-circle {\\n    padding: 0;\\n    border-radius: 50%;\\n}\\n\\n.p-badge-secondary {\\n    background: \").concat(dt('badge.secondary.background'), \";\\n    color: \").concat(dt('badge.secondary.color'), \";\\n}\\n\\n.p-badge-success {\\n    background: \").concat(dt('badge.success.background'), \";\\n    color: \").concat(dt('badge.success.color'), \";\\n}\\n\\n.p-badge-info {\\n    background: \").concat(dt('badge.info.background'), \";\\n    color: \").concat(dt('badge.info.color'), \";\\n}\\n\\n.p-badge-warn {\\n    background: \").concat(dt('badge.warn.background'), \";\\n    color: \").concat(dt('badge.warn.color'), \";\\n}\\n\\n.p-badge-danger {\\n    background: \").concat(dt('badge.danger.background'), \";\\n    color: \").concat(dt('badge.danger.color'), \";\\n}\\n\\n.p-badge-contrast {\\n    background: \").concat(dt('badge.contrast.background'), \";\\n    color: \").concat(dt('badge.contrast.color'), \";\\n}\\n\\n.p-badge-sm {\\n    font-size: \").concat(dt('badge.sm.font.size'), \";\\n    min-width: \").concat(dt('badge.sm.min.width'), \";\\n    height: \").concat(dt('badge.sm.height'), \";\\n}\\n\\n.p-badge-lg {\\n    font-size: \").concat(dt('badge.lg.font.size'), \";\\n    min-width: \").concat(dt('badge.lg.min.width'), \";\\n    height: \").concat(dt('badge.lg.height'), \";\\n}\\n\\n.p-badge-xl {\\n    font-size: \").concat(dt('badge.xl.font.size'), \";\\n    min-width: \").concat(dt('badge.xl.min.width'), \";\\n    height: \").concat(dt('badge.xl.height'), \";\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var props = _ref2.props,\n      instance = _ref2.instance;\n    return ['p-badge p-component', {\n      'p-badge-circle': isNotEmpty(props.value) && String(props.value).length === 1,\n      'p-badge-dot': isEmpty(props.value) && !instance.$slots[\"default\"],\n      'p-badge-sm': props.size === 'small',\n      'p-badge-lg': props.size === 'large',\n      'p-badge-xl': props.size === 'xlarge',\n      'p-badge-info': props.severity === 'info',\n      'p-badge-success': props.severity === 'success',\n      'p-badge-warn': props.severity === 'warn',\n      'p-badge-danger': props.severity === 'danger',\n      'p-badge-secondary': props.severity === 'secondary',\n      'p-badge-contrast': props.severity === 'contrast'\n    }];\n  }\n};\nvar BadgeStyle = BaseStyle.extend({\n  name: 'badge',\n  theme: theme,\n  classes: classes\n});\n\nexport { BadgeStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport BadgeStyle from 'primevue/badge/style';\nimport { openBlock, createElementBlock, mergeProps, renderSlot, createTextVNode, toDisplayString } from 'vue';\n\nvar script$1 = {\n  name: 'BaseBadge',\n  \"extends\": BaseComponent,\n  props: {\n    value: {\n      type: [String, Number],\n      \"default\": null\n    },\n    severity: {\n      type: String,\n      \"default\": null\n    },\n    size: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: BadgeStyle,\n  provide: function provide() {\n    return {\n      $pcBadge: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'Badge',\n  \"extends\": script$1,\n  inheritAttrs: false\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"span\", mergeProps({\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root')), [renderSlot(_ctx.$slots, \"default\", {}, function () {\n    return [createTextVNode(toDisplayString(_ctx.value), 1)];\n  })], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-button {\\n    display: inline-flex;\\n    cursor: pointer;\\n    user-select: none;\\n    align-items: center;\\n    justify-content: center;\\n    overflow: hidden;\\n    position: relative;\\n    color: \".concat(dt('button.primary.color'), \";\\n    background: \").concat(dt('button.primary.background'), \";\\n    border: 1px solid \").concat(dt('button.primary.border.color'), \";\\n    padding: \").concat(dt('button.padding.y'), \" \").concat(dt('button.padding.x'), \";\\n    font-size: 1rem;\\n    font-family: inherit;\\n    font-feature-settings: inherit;\\n    transition: background \").concat(dt('button.transition.duration'), \", color \").concat(dt('button.transition.duration'), \", border-color \").concat(dt('button.transition.duration'), \",\\n            outline-color \").concat(dt('button.transition.duration'), \", box-shadow \").concat(dt('button.transition.duration'), \";\\n    border-radius: \").concat(dt('button.border.radius'), \";\\n    outline-color: transparent;\\n    gap: \").concat(dt('button.gap'), \";\\n}\\n\\n.p-button:disabled {\\n    cursor: default;\\n}\\n\\n.p-button-icon-right {\\n    order: 1;\\n}\\n\\n.p-button-icon-bottom {\\n    order: 2;\\n}\\n\\n.p-button-icon-only {\\n    width: \").concat(dt('button.icon.only.width'), \";\\n    padding-left: 0;\\n    padding-right: 0;\\n    gap: 0;\\n}\\n\\n.p-button-icon-only.p-button-rounded {\\n    border-radius: 50%;\\n    height: \").concat(dt('button.icon.only.width'), \";\\n}\\n\\n.p-button-icon-only .p-button-label {\\n    visibility: hidden;\\n    width: 0;\\n}\\n\\n.p-button-sm {\\n    font-size: \").concat(dt('button.sm.font.size'), \";\\n    padding: \").concat(dt('button.sm.padding.y'), \" \").concat(dt('button.sm.padding.x'), \";\\n}\\n\\n.p-button-sm .p-button-icon {\\n    font-size: \").concat(dt('button.sm.font.size'), \";\\n}\\n\\n.p-button-lg {\\n    font-size: \").concat(dt('button.lg.font.size'), \";\\n    padding: \").concat(dt('button.lg.padding.y'), \" \").concat(dt('button.lg.padding.x'), \";\\n}\\n\\n.p-button-lg .p-button-icon {\\n    font-size: \").concat(dt('button.lg.font.size'), \";\\n}\\n\\n.p-button-vertical {\\n    flex-direction: column;\\n}\\n\\n.p-button-label {\\n    font-weight: \").concat(dt('button.label.font.weight'), \";\\n}\\n\\n.p-button-fluid {\\n    width: 100%;\\n}\\n\\n.p-button-fluid.p-button-icon-only {\\n    width: \").concat(dt('button.icon.only.width'), \";\\n}\\n\\n.p-button:not(:disabled):hover {\\n    background: \").concat(dt('button.primary.hover.background'), \";\\n    border: 1px solid \").concat(dt('button.primary.hover.border.color'), \";\\n    color: \").concat(dt('button.primary.hover.color'), \";\\n}\\n\\n.p-button:not(:disabled):active {\\n    background: \").concat(dt('button.primary.active.background'), \";\\n    border: 1px solid \").concat(dt('button.primary.active.border.color'), \";\\n    color: \").concat(dt('button.primary.active.color'), \";\\n}\\n\\n.p-button:focus-visible {\\n    box-shadow: \").concat(dt('button.primary.focus.ring.shadow'), \";\\n    outline: \").concat(dt('button.focus.ring.width'), \" \").concat(dt('button.focus.ring.style'), \" \").concat(dt('button.primary.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('button.focus.ring.offset'), \";\\n}\\n\\n.p-button .p-badge {\\n    min-width: \").concat(dt('button.badge.size'), \";\\n    height: \").concat(dt('button.badge.size'), \";\\n    line-height: \").concat(dt('button.badge.size'), \";\\n}\\n\\n.p-button-raised {\\n    box-shadow: \").concat(dt('button.raised.shadow'), \";\\n}\\n\\n.p-button-rounded {\\n    border-radius: \").concat(dt('button.rounded.border.radius'), \";\\n}\\n\\n.p-button-secondary {\\n    background: \").concat(dt('button.secondary.background'), \";\\n    border: 1px solid \").concat(dt('button.secondary.border.color'), \";\\n    color: \").concat(dt('button.secondary.color'), \";\\n}\\n\\n.p-button-secondary:not(:disabled):hover {\\n    background: \").concat(dt('button.secondary.hover.background'), \";\\n    border: 1px solid \").concat(dt('button.secondary.hover.border.color'), \";\\n    color: \").concat(dt('button.secondary.hover.color'), \";\\n}\\n\\n.p-button-secondary:not(:disabled):active {\\n    background: \").concat(dt('button.secondary.active.background'), \";\\n    border: 1px solid \").concat(dt('button.secondary.active.border.color'), \";\\n    color: \").concat(dt('button.secondary.active.color'), \";\\n}\\n\\n.p-button-secondary:focus-visible {\\n    outline-color: \").concat(dt('button.secondary.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('button.secondary.focus.ring.shadow'), \";\\n}\\n\\n.p-button-success {\\n    background: \").concat(dt('button.success.background'), \";\\n    border: 1px solid \").concat(dt('button.success.border.color'), \";\\n    color: \").concat(dt('button.success.color'), \";\\n}\\n\\n.p-button-success:not(:disabled):hover {\\n    background: \").concat(dt('button.success.hover.background'), \";\\n    border: 1px solid \").concat(dt('button.success.hover.border.color'), \";\\n    color: \").concat(dt('button.success.hover.color'), \";\\n}\\n\\n.p-button-success:not(:disabled):active {\\n    background: \").concat(dt('button.success.active.background'), \";\\n    border: 1px solid \").concat(dt('button.success.active.border.color'), \";\\n    color: \").concat(dt('button.success.active.color'), \";\\n}\\n\\n.p-button-success:focus-visible {\\n    outline-color: \").concat(dt('button.success.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('button.success.focus.ring.shadow'), \";\\n}\\n\\n.p-button-info {\\n    background: \").concat(dt('button.info.background'), \";\\n    border: 1px solid \").concat(dt('button.info.border.color'), \";\\n    color: \").concat(dt('button.info.color'), \";\\n}\\n\\n.p-button-info:not(:disabled):hover {\\n    background: \").concat(dt('button.info.hover.background'), \";\\n    border: 1px solid \").concat(dt('button.info.hover.border.color'), \";\\n    color: \").concat(dt('button.info.hover.color'), \";\\n}\\n\\n.p-button-info:not(:disabled):active {\\n    background: \").concat(dt('button.info.active.background'), \";\\n    border: 1px solid \").concat(dt('button.info.active.border.color'), \";\\n    color: \").concat(dt('button.info.active.color'), \";\\n}\\n\\n.p-button-info:focus-visible {\\n    outline-color: \").concat(dt('button.info.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('button.info.focus.ring.shadow'), \";\\n}\\n\\n.p-button-warn {\\n    background: \").concat(dt('button.warn.background'), \";\\n    border: 1px solid \").concat(dt('button.warn.border.color'), \";\\n    color: \").concat(dt('button.warn.color'), \";\\n}\\n\\n.p-button-warn:not(:disabled):hover {\\n    background: \").concat(dt('button.warn.hover.background'), \";\\n    border: 1px solid \").concat(dt('button.warn.hover.border.color'), \";\\n    color: \").concat(dt('button.warn.hover.color'), \";\\n}\\n\\n.p-button-warn:not(:disabled):active {\\n    background: \").concat(dt('button.warn.active.background'), \";\\n    border: 1px solid \").concat(dt('button.warn.active.border.color'), \";\\n    color: \").concat(dt('button.warn.active.color'), \";\\n}\\n\\n.p-button-warn:focus-visible {\\n    outline-color: \").concat(dt('button.warn.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('button.warn.focus.ring.shadow'), \";\\n}\\n\\n.p-button-help {\\n    background: \").concat(dt('button.help.background'), \";\\n    border: 1px solid \").concat(dt('button.help.border.color'), \";\\n    color: \").concat(dt('button.help.color'), \";\\n}\\n\\n.p-button-help:not(:disabled):hover {\\n    background: \").concat(dt('button.help.hover.background'), \";\\n    border: 1px solid \").concat(dt('button.help.hover.border.color'), \";\\n    color: \").concat(dt('button.help.hover.color'), \";\\n}\\n\\n.p-button-help:not(:disabled):active {\\n    background: \").concat(dt('button.help.active.background'), \";\\n    border: 1px solid \").concat(dt('button.help.active.border.color'), \";\\n    color: \").concat(dt('button.help.active.color'), \";\\n}\\n\\n.p-button-help:focus-visible {\\n    outline-color: \").concat(dt('button.help.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('button.help.focus.ring.shadow'), \";\\n}\\n\\n.p-button-danger {\\n    background: \").concat(dt('button.danger.background'), \";\\n    border: 1px solid \").concat(dt('button.danger.border.color'), \";\\n    color: \").concat(dt('button.danger.color'), \";\\n}\\n\\n.p-button-danger:not(:disabled):hover {\\n    background: \").concat(dt('button.danger.hover.background'), \";\\n    border: 1px solid \").concat(dt('button.danger.hover.border.color'), \";\\n    color: \").concat(dt('button.danger.hover.color'), \";\\n}\\n\\n.p-button-danger:not(:disabled):active {\\n    background: \").concat(dt('button.danger.active.background'), \";\\n    border: 1px solid \").concat(dt('button.danger.active.border.color'), \";\\n    color: \").concat(dt('button.danger.active.color'), \";\\n}\\n\\n.p-button-danger:focus-visible {\\n    outline-color: \").concat(dt('button.danger.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('button.danger.focus.ring.shadow'), \";\\n}\\n\\n.p-button-contrast {\\n    background: \").concat(dt('button.contrast.background'), \";\\n    border: 1px solid \").concat(dt('button.contrast.border.color'), \";\\n    color: \").concat(dt('button.contrast.color'), \";\\n}\\n\\n.p-button-contrast:not(:disabled):hover {\\n    background: \").concat(dt('button.contrast.hover.background'), \";\\n    border: 1px solid \").concat(dt('button.contrast.hover.border.color'), \";\\n    color: \").concat(dt('button.contrast.hover.color'), \";\\n}\\n\\n.p-button-contrast:not(:disabled):active {\\n    background: \").concat(dt('button.contrast.active.background'), \";\\n    border: 1px solid \").concat(dt('button.contrast.active.border.color'), \";\\n    color: \").concat(dt('button.contrast.active.color'), \";\\n}\\n\\n.p-button-contrast:focus-visible {\\n    outline-color: \").concat(dt('button.contrast.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('button.contrast.focus.ring.shadow'), \";\\n}\\n\\n.p-button-outlined {\\n    background: transparent;\\n    border-color: \").concat(dt('button.outlined.primary.border.color'), \";\\n    color: \").concat(dt('button.outlined.primary.color'), \";\\n}\\n\\n.p-button-outlined:not(:disabled):hover {\\n    background: \").concat(dt('button.outlined.primary.hover.background'), \";\\n    border-color: \").concat(dt('button.outlined.primary.border.color'), \";\\n    color: \").concat(dt('button.outlined.primary.color'), \";\\n}\\n\\n.p-button-outlined:not(:disabled):active {\\n    background: \").concat(dt('button.outlined.primary.active.background'), \";\\n    border-color: \").concat(dt('button.outlined.primary.border.color'), \";\\n    color: \").concat(dt('button.outlined.primary.color'), \";\\n}\\n\\n.p-button-outlined.p-button-secondary {\\n    border-color: \").concat(dt('button.outlined.secondary.border.color'), \";\\n    color: \").concat(dt('button.outlined.secondary.color'), \";\\n}\\n\\n.p-button-outlined.p-button-secondary:not(:disabled):hover {\\n    background: \").concat(dt('button.outlined.secondary.hover.background'), \";\\n    border-color: \").concat(dt('button.outlined.secondary.border.color'), \";\\n    color: \").concat(dt('button.outlined.secondary.color'), \";\\n}\\n\\n.p-button-outlined.p-button-secondary:not(:disabled):active {\\n    background: \").concat(dt('button.outlined.secondary.active.background'), \";\\n    border-color: \").concat(dt('button.outlined.secondary.border.color'), \";\\n    color: \").concat(dt('button.outlined.secondary.color'), \";\\n}\\n\\n.p-button-outlined.p-button-success {\\n    border-color: \").concat(dt('button.outlined.success.border.color'), \";\\n    color: \").concat(dt('button.outlined.success.color'), \";\\n}\\n\\n.p-button-outlined.p-button-success:not(:disabled):hover {\\n    background: \").concat(dt('button.outlined.success.hover.background'), \";\\n    border-color: \").concat(dt('button.outlined.success.border.color'), \";\\n    color: \").concat(dt('button.outlined.success.color'), \";\\n}\\n\\n.p-button-outlined.p-button-success:not(:disabled):active {\\n    background: \").concat(dt('button.outlined.success.active.background'), \";\\n    border-color: \").concat(dt('button.outlined.success.border.color'), \";\\n    color: \").concat(dt('button.outlined.success.color'), \";\\n}\\n\\n.p-button-outlined.p-button-info {\\n    border-color: \").concat(dt('button.outlined.info.border.color'), \";\\n    color: \").concat(dt('button.outlined.info.color'), \";\\n}\\n\\n.p-button-outlined.p-button-info:not(:disabled):hover {\\n    background: \").concat(dt('button.outlined.info.hover.background'), \";\\n    border-color: \").concat(dt('button.outlined.info.border.color'), \";\\n    color: \").concat(dt('button.outlined.info.color'), \";\\n}\\n\\n.p-button-outlined.p-button-info:not(:disabled):active {\\n    background: \").concat(dt('button.outlined.info.active.background'), \";\\n    border-color: \").concat(dt('button.outlined.info.border.color'), \";\\n    color: \").concat(dt('button.outlined.info.color'), \";\\n}\\n\\n.p-button-outlined.p-button-warn {\\n    border-color: \").concat(dt('button.outlined.warn.border.color'), \";\\n    color: \").concat(dt('button.outlined.warn.color'), \";\\n}\\n\\n.p-button-outlined.p-button-warn:not(:disabled):hover {\\n    background: \").concat(dt('button.outlined.warn.hover.background'), \";\\n    border-color: \").concat(dt('button.outlined.warn.border.color'), \";\\n    color: \").concat(dt('button.outlined.warn.color'), \";\\n}\\n\\n.p-button-outlined.p-button-warn:not(:disabled):active {\\n    background: \").concat(dt('button.outlined.warn.active.background'), \";\\n    border-color: \").concat(dt('button.outlined.warn.border.color'), \";\\n    color: \").concat(dt('button.outlined.warn.color'), \";\\n}\\n\\n.p-button-outlined.p-button-help {\\n    border-color: \").concat(dt('button.outlined.help.border.color'), \";\\n    color: \").concat(dt('button.outlined.help.color'), \";\\n}\\n\\n.p-button-outlined.p-button-help:not(:disabled):hover {\\n    background: \").concat(dt('button.outlined.help.hover.background'), \";\\n    border-color: \").concat(dt('button.outlined.help.border.color'), \";\\n    color: \").concat(dt('button.outlined.help.color'), \";\\n}\\n\\n.p-button-outlined.p-button-help:not(:disabled):active {\\n    background: \").concat(dt('button.outlined.help.active.background'), \";\\n    border-color: \").concat(dt('button.outlined.help.border.color'), \";\\n    color: \").concat(dt('button.outlined.help.color'), \";\\n}\\n\\n.p-button-outlined.p-button-danger {\\n    border-color: \").concat(dt('button.outlined.danger.border.color'), \";\\n    color: \").concat(dt('button.outlined.danger.color'), \";\\n}\\n\\n.p-button-outlined.p-button-danger:not(:disabled):hover {\\n    background: \").concat(dt('button.outlined.danger.hover.background'), \";\\n    border-color: \").concat(dt('button.outlined.danger.border.color'), \";\\n    color: \").concat(dt('button.outlined.danger.color'), \";\\n}\\n\\n.p-button-outlined.p-button-danger:not(:disabled):active {\\n    background: \").concat(dt('button.outlined.danger.active.background'), \";\\n    border-color: \").concat(dt('button.outlined.danger.border.color'), \";\\n    color: \").concat(dt('button.outlined.danger.color'), \";\\n}\\n\\n.p-button-outlined.p-button-contrast {\\n    border-color: \").concat(dt('button.outlined.contrast.border.color'), \";\\n    color: \").concat(dt('button.outlined.contrast.color'), \";\\n}\\n\\n.p-button-outlined.p-button-contrast:not(:disabled):hover {\\n    background: \").concat(dt('button.outlined.contrast.hover.background'), \";\\n    border-color: \").concat(dt('button.outlined.contrast.border.color'), \";\\n    color: \").concat(dt('button.outlined.contrast.color'), \";\\n}\\n\\n.p-button-outlined.p-button-contrast:not(:disabled):active {\\n    background: \").concat(dt('button.outlined.contrast.active.background'), \";\\n    border-color: \").concat(dt('button.outlined.contrast.border.color'), \";\\n    color: \").concat(dt('button.outlined.contrast.color'), \";\\n}\\n\\n.p-button-outlined.p-button-plain {\\n    border-color: \").concat(dt('button.outlined.plain.border.color'), \";\\n    color: \").concat(dt('button.outlined.plain.color'), \";\\n}\\n\\n.p-button-outlined.p-button-plain:not(:disabled):hover {\\n    background: \").concat(dt('button.outlined.plain.hover.background'), \";\\n    border-color: \").concat(dt('button.outlined.plain.border.color'), \";\\n    color: \").concat(dt('button.outlined.plain.color'), \";\\n}\\n\\n.p-button-outlined.p-button-plain:not(:disabled):active {\\n    background: \").concat(dt('button.outlined.plain.active.background'), \";\\n    border-color: \").concat(dt('button.outlined.plain.border.color'), \";\\n    color: \").concat(dt('button.outlined.plain.color'), \";\\n}\\n\\n.p-button-text {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.primary.color'), \";\\n}\\n\\n.p-button-text:not(:disabled):hover {\\n    background: \").concat(dt('button.text.primary.hover.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.primary.color'), \";\\n}\\n\\n.p-button-text:not(:disabled):active {\\n    background: \").concat(dt('button.text.primary.active.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.primary.color'), \";\\n}\\n\\n.p-button-text.p-button-secondary {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.secondary.color'), \";\\n}\\n\\n.p-button-text.p-button-secondary:not(:disabled):hover {\\n    background: \").concat(dt('button.text.secondary.hover.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.secondary.color'), \";\\n}\\n\\n.p-button-text.p-button-secondary:not(:disabled):active {\\n    background: \").concat(dt('button.text.secondary.active.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.secondary.color'), \";\\n}\\n\\n.p-button-text.p-button-success {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.success.color'), \";\\n}\\n\\n.p-button-text.p-button-success:not(:disabled):hover {\\n    background: \").concat(dt('button.text.success.hover.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.success.color'), \";\\n}\\n\\n.p-button-text.p-button-success:not(:disabled):active {\\n    background: \").concat(dt('button.text.success.active.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.success.color'), \";\\n}\\n\\n.p-button-text.p-button-info {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.info.color'), \";\\n}\\n\\n.p-button-text.p-button-info:not(:disabled):hover {\\n    background: \").concat(dt('button.text.info.hover.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.info.color'), \";\\n}\\n\\n.p-button-text.p-button-info:not(:disabled):active {\\n    background: \").concat(dt('button.text.info.active.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.info.color'), \";\\n}\\n\\n.p-button-text.p-button-warn {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.warn.color'), \";\\n}\\n\\n.p-button-text.p-button-warn:not(:disabled):hover {\\n    background: \").concat(dt('button.text.warn.hover.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.warn.color'), \";\\n}\\n\\n.p-button-text.p-button-warn:not(:disabled):active {\\n    background: \").concat(dt('button.text.warn.active.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.warn.color'), \";\\n}\\n\\n.p-button-text.p-button-help {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.help.color'), \";\\n}\\n\\n.p-button-text.p-button-help:not(:disabled):hover {\\n    background: \").concat(dt('button.text.help.hover.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.help.color'), \";\\n}\\n\\n.p-button-text.p-button-help:not(:disabled):active {\\n    background: \").concat(dt('button.text.help.active.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.help.color'), \";\\n}\\n\\n.p-button-text.p-button-danger {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.danger.color'), \";\\n}\\n\\n.p-button-text.p-button-danger:not(:disabled):hover {\\n    background: \").concat(dt('button.text.danger.hover.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.danger.color'), \";\\n}\\n\\n.p-button-text.p-button-danger:not(:disabled):active {\\n    background: \").concat(dt('button.text.danger.active.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.danger.color'), \";\\n}\\n\\n.p-button-text.p-button-plain {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.plain.color'), \";\\n}\\n\\n.p-button-text.p-button-plain:not(:disabled):hover {\\n    background: \").concat(dt('button.text.plain.hover.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.plain.color'), \";\\n}\\n\\n.p-button-text.p-button-plain:not(:disabled):active {\\n    background: \").concat(dt('button.text.plain.active.background'), \";\\n    border-color: transparent;\\n    color: \").concat(dt('button.text.plain.color'), \";\\n}\\n\\n.p-button-link {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.link.color'), \";\\n}\\n\\n.p-button-link:not(:disabled):hover {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.link.hover.color'), \";\\n}\\n\\n.p-button-link:not(:disabled):hover .p-button-label {\\n    text-decoration: underline;\\n}\\n\\n.p-button-link:not(:disabled):active {\\n    background: transparent;\\n    border-color: transparent;\\n    color: \").concat(dt('button.link.active.color'), \";\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var instance = _ref2.instance,\n      props = _ref2.props;\n    return ['p-button p-component', _defineProperty(_defineProperty(_defineProperty(_defineProperty(_defineProperty(_defineProperty(_defineProperty(_defineProperty(_defineProperty({\n      'p-button-icon-only': instance.hasIcon && !props.label && !props.badge,\n      'p-button-vertical': (props.iconPos === 'top' || props.iconPos === 'bottom') && props.label,\n      'p-button-loading': props.loading,\n      'p-button-link': props.link\n    }, \"p-button-\".concat(props.severity), props.severity), 'p-button-raised', props.raised), 'p-button-rounded', props.rounded), 'p-button-text', props.text), 'p-button-outlined', props.outlined), 'p-button-sm', props.size === 'small'), 'p-button-lg', props.size === 'large'), 'p-button-plain', props.plain), 'p-button-fluid', props.fluid)];\n  },\n  loadingIcon: 'p-button-loading-icon',\n  icon: function icon(_ref4) {\n    var props = _ref4.props;\n    return ['p-button-icon', _defineProperty({}, \"p-button-icon-\".concat(props.iconPos), props.label)];\n  },\n  label: 'p-button-label'\n};\nvar ButtonStyle = BaseStyle.extend({\n  name: 'button',\n  theme: theme,\n  classes: classes\n});\n\nexport { ButtonStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import SpinnerIcon from '@primevue/icons/spinner';\nimport Badge from 'primevue/badge';\nimport Ripple from 'primevue/ripple';\nimport { mergeProps, resolveComponent, resolveDirective, withDirectives, openBlock, createBlock, resolveDynamicComponent, withCtx, renderSlot, normalizeClass, createElementBlock, createCommentVNode, createElementVNode, toDisplayString } from 'vue';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport ButtonStyle from 'primevue/button/style';\n\nvar script$1 = {\n  name: 'BaseButton',\n  \"extends\": BaseComponent,\n  props: {\n    label: {\n      type: String,\n      \"default\": null\n    },\n    icon: {\n      type: String,\n      \"default\": null\n    },\n    iconPos: {\n      type: String,\n      \"default\": 'left'\n    },\n    iconClass: {\n      type: String,\n      \"default\": null\n    },\n    badge: {\n      type: String,\n      \"default\": null\n    },\n    badgeClass: {\n      type: String,\n      \"default\": null\n    },\n    badgeSeverity: {\n      type: String,\n      \"default\": 'secondary'\n    },\n    loading: {\n      type: Boolean,\n      \"default\": false\n    },\n    loadingIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    as: {\n      type: String,\n      \"default\": 'BUTTON'\n    },\n    asChild: {\n      type: Boolean,\n      \"default\": false\n    },\n    link: {\n      type: Boolean,\n      \"default\": false\n    },\n    severity: {\n      type: String,\n      \"default\": null\n    },\n    raised: {\n      type: Boolean,\n      \"default\": false\n    },\n    rounded: {\n      type: Boolean,\n      \"default\": false\n    },\n    text: {\n      type: Boolean,\n      \"default\": false\n    },\n    outlined: {\n      type: Boolean,\n      \"default\": false\n    },\n    size: {\n      type: String,\n      \"default\": null\n    },\n    plain: {\n      type: Boolean,\n      \"default\": false\n    },\n    fluid: {\n      type: Boolean,\n      \"default\": false\n    }\n  },\n  style: ButtonStyle,\n  provide: function provide() {\n    return {\n      $pcButton: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'Button',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  methods: {\n    getPTOptions: function getPTOptions(key) {\n      var _ptm = key === 'root' ? this.ptmi : this.ptm;\n      return _ptm(key, {\n        context: {\n          disabled: this.disabled\n        }\n      });\n    }\n  },\n  computed: {\n    disabled: function disabled() {\n      return this.$attrs.disabled || this.$attrs.disabled === '' || this.loading;\n    },\n    defaultAriaLabel: function defaultAriaLabel() {\n      return this.label ? this.label + (this.badge ? ' ' + this.badge : '') : this.$attrs.ariaLabel;\n    },\n    hasIcon: function hasIcon() {\n      return this.icon || this.$slots.icon;\n    },\n    attrs: function attrs() {\n      return mergeProps(this.asAttrs, this.a11yAttrs, this.getPTOptions('root'));\n    },\n    asAttrs: function asAttrs() {\n      return this.as === 'BUTTON' ? {\n        type: 'button',\n        disabled: this.disabled\n      } : undefined;\n    },\n    a11yAttrs: function a11yAttrs() {\n      return {\n        'aria-label': this.defaultAriaLabel,\n        'data-pc-name': 'button',\n        'data-p-disabled': this.disabled,\n        'data-p-severity': this.severity\n      };\n    }\n  },\n  components: {\n    SpinnerIcon: SpinnerIcon,\n    Badge: Badge\n  },\n  directives: {\n    ripple: Ripple\n  }\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_SpinnerIcon = resolveComponent(\"SpinnerIcon\");\n  var _component_Badge = resolveComponent(\"Badge\");\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return !_ctx.asChild ? withDirectives((openBlock(), createBlock(resolveDynamicComponent(_ctx.as), mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('root')\n  }, $options.attrs), {\n    \"default\": withCtx(function () {\n      return [renderSlot(_ctx.$slots, \"default\", {}, function () {\n        return [_ctx.loading ? renderSlot(_ctx.$slots, \"loadingicon\", {\n          key: 0,\n          \"class\": normalizeClass([_ctx.cx('loadingIcon'), _ctx.cx('icon')])\n        }, function () {\n          return [_ctx.loadingIcon ? (openBlock(), createElementBlock(\"span\", mergeProps({\n            key: 0,\n            \"class\": [_ctx.cx('loadingIcon'), _ctx.cx('icon'), _ctx.loadingIcon]\n          }, _ctx.ptm('loadingIcon')), null, 16)) : (openBlock(), createBlock(_component_SpinnerIcon, mergeProps({\n            key: 1,\n            \"class\": [_ctx.cx('loadingIcon'), _ctx.cx('icon')],\n            spin: \"\"\n          }, _ctx.ptm('loadingIcon')), null, 16, [\"class\"]))];\n        }) : renderSlot(_ctx.$slots, \"icon\", {\n          key: 1,\n          \"class\": normalizeClass([_ctx.cx('icon')])\n        }, function () {\n          return [_ctx.icon ? (openBlock(), createElementBlock(\"span\", mergeProps({\n            key: 0,\n            \"class\": [_ctx.cx('icon'), _ctx.icon, _ctx.iconClass]\n          }, _ctx.ptm('icon')), null, 16)) : createCommentVNode(\"\", true)];\n        }), createElementVNode(\"span\", mergeProps({\n          \"class\": _ctx.cx('label')\n        }, _ctx.ptm('label')), toDisplayString(_ctx.label || ' '), 17), _ctx.badge ? (openBlock(), createBlock(_component_Badge, mergeProps({\n          key: 2,\n          value: _ctx.badge,\n          \"class\": _ctx.badgeClass,\n          severity: _ctx.badgeSeverity,\n          unstyled: _ctx.unstyled\n        }, _ctx.ptm('pcBadge')), null, 16, [\"value\", \"class\", \"severity\", \"unstyled\"])) : createCommentVNode(\"\", true)];\n      })];\n    }),\n    _: 3\n  }, 16, [\"class\"])), [[_directive_ripple]]) : renderSlot(_ctx.$slots, \"default\", {\n    key: 1,\n    \"class\": normalizeClass(_ctx.cx('root')),\n    a11yAttrs: $options.a11yAttrs\n  });\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <div class=\"comfy-missing-nodes\">\n    <h4 class=\"warning-title\">Warning: Missing Node Types</h4>\n    <p class=\"warning-description\">\n      When loading the graph, the following node types were not found:\n    </p>\n    <ListBox\n      :options=\"uniqueNodes\"\n      optionLabel=\"label\"\n      scrollHeight=\"100%\"\n      :class=\"'missing-nodes-list' + (props.maximized ? ' maximized' : '')\"\n      :pt=\"{\n        list: { class: 'border-none' }\n      }\"\n    >\n      <template #option=\"slotProps\">\n        <div class=\"missing-node-item\">\n          <span class=\"node-type\">{{ slotProps.option.label }}</span>\n          <span v-if=\"slotProps.option.hint\" class=\"node-hint\">{{\n            slotProps.option.hint\n          }}</span>\n          <Button\n            v-if=\"slotProps.option.action\"\n            @click=\"slotProps.option.action.callback\"\n            :label=\"slotProps.option.action.text\"\n            class=\"p-button-sm p-button-outlined\"\n          />\n        </div>\n      </template>\n    </ListBox>\n    <p v-if=\"hasAddedNodes\" class=\"added-nodes-warning\">\n      Nodes that have failed to load will show as red on the graph.\n    </p>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { computed } from 'vue'\nimport ListBox from 'primevue/listbox'\nimport Button from 'primevue/button'\n\ninterface NodeType {\n  type: string\n  hint?: string\n  action?: {\n    text: string\n    callback: () => void\n  }\n}\n\nconst props = defineProps<{\n  missingNodeTypes: (string | NodeType)[]\n  hasAddedNodes: boolean\n  maximized: boolean\n}>()\n\nconst uniqueNodes = computed(() => {\n  const seenTypes = new Set()\n  return props.missingNodeTypes\n    .filter((node) => {\n      const type = typeof node === 'object' ? node.type : node\n      if (seenTypes.has(type)) return false\n      seenTypes.add(type)\n      return true\n    })\n    .map((node) => {\n      if (typeof node === 'object') {\n        return {\n          label: node.type,\n          hint: node.hint,\n          action: node.action\n        }\n      }\n      return { label: node }\n    })\n})\n</script>\n\n<style>\n:root {\n  --red-600: #dc3545;\n}\n</style>\n\n<style scoped>\n.comfy-missing-nodes {\n  font-family: monospace;\n  color: var(--red-600);\n  padding: 1.5rem;\n  background-color: var(--surface-ground);\n  border-radius: var(--border-radius);\n  box-shadow: var(--card-shadow);\n}\n\n.warning-title {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\n.warning-description {\n  margin-bottom: 1rem;\n}\n\n.missing-nodes-list {\n  max-height: 300px;\n  overflow-y: auto;\n}\n\n.missing-nodes-list.maximized {\n  max-height: unset;\n}\n\n.missing-node-item {\n  display: flex;\n  align-items: center;\n  padding: 0.5rem;\n}\n\n.node-type {\n  font-weight: 600;\n  color: var(--text-color);\n}\n\n.node-hint {\n  margin-left: 0.5rem;\n  font-style: italic;\n  color: var(--text-color-secondary);\n}\n\n:deep(.p-button) {\n  margin-left: auto;\n}\n\n.added-nodes-warning {\n  margin-top: 1rem;\n  font-style: italic;\n}\n</style>\n","<template>\n  <div class=\"comfy-missing-models\">\n    <h4 class=\"warning-title\">Warning: Missing Models</h4>\n    <p class=\"warning-description\">\n      When loading the graph, the following models were not found:\n    </p>\n    <ListBox\n      :options=\"missingModels\"\n      optionLabel=\"label\"\n      scrollHeight=\"100%\"\n      :class=\"'missing-models-list' + (props.maximized ? ' maximized' : '')\"\n      :pt=\"{\n        list: { class: 'border-none' }\n      }\"\n    >\n      <template #option=\"slotProps\">\n        <div\n          class=\"missing-model-item\"\n          :style=\"{ '--progress': `${slotProps.option.progress}%` }\"\n        >\n          <div class=\"model-info\">\n            <div class=\"model-details\">\n              <span class=\"model-type\" :title=\"slotProps.option.hint\">{{\n                slotProps.option.label\n              }}</span>\n            </div>\n            <div v-if=\"slotProps.option.error\" class=\"model-error\">\n              {{ slotProps.option.error }}\n            </div>\n          </div>\n          <div class=\"model-action\">\n            <Button\n              v-if=\"\n                slotProps.option.action &&\n                !slotProps.option.downloading &&\n                !slotProps.option.completed &&\n                !slotProps.option.error\n              \"\n              @click=\"slotProps.option.action.callback\"\n              :label=\"slotProps.option.action.text\"\n              class=\"p-button-sm p-button-outlined model-action-button\"\n            />\n            <div v-if=\"slotProps.option.downloading\" class=\"download-progress\">\n              <span class=\"progress-text\"\n                >{{ slotProps.option.progress.toFixed(2) }}%</span\n              >\n            </div>\n            <div v-if=\"slotProps.option.completed\" class=\"download-complete\">\n              <i class=\"pi pi-check\" style=\"color: var(--green-500)\"></i>\n            </div>\n            <div v-if=\"slotProps.option.error\" class=\"download-error\">\n              <i class=\"pi pi-times\" style=\"color: var(--red-600)\"></i>\n            </div>\n          </div>\n        </div>\n      </template>\n    </ListBox>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { ref, computed } from 'vue'\nimport ListBox from 'primevue/listbox'\nimport Button from 'primevue/button'\nimport { api } from '@/scripts/api'\nimport { DownloadModelStatus } from '@/types/apiTypes'\nimport { useSettingStore } from '@/stores/settingStore'\n\nconst settingStore = useSettingStore()\nconst allowedSources = settingStore.get(\n  'Comfy.Workflow.ModelDownload.AllowedSources'\n)\nconst allowedSuffixes = settingStore.get(\n  'Comfy.Workflow.ModelDownload.AllowedSuffixes'\n)\n\ninterface ModelInfo {\n  name: string\n  directory: string\n  directory_invalid?: boolean\n  url: string\n  downloading?: boolean\n  completed?: boolean\n  progress?: number\n  error?: string\n}\n\nconst props = defineProps<{\n  missingModels: ModelInfo[]\n  maximized: boolean\n}>()\n\nconst modelDownloads = ref<Record<string, ModelInfo>>({})\nlet lastModel: string | null = null\n\nconst handleDownloadProgress = (detail: DownloadModelStatus) => {\n  if (detail.download_path) {\n    lastModel = detail.download_path.split('/', 2)[1]\n  }\n  if (!lastModel) return\n  if (detail.status === 'in_progress') {\n    modelDownloads.value[lastModel] = {\n      ...modelDownloads.value[lastModel],\n      downloading: true,\n      progress: detail.progress_percentage,\n      completed: false\n    }\n  } else if (detail.status === 'pending') {\n    modelDownloads.value[lastModel] = {\n      ...modelDownloads.value[lastModel],\n      downloading: true,\n      progress: 0,\n      completed: false\n    }\n  } else if (detail.status === 'completed') {\n    modelDownloads.value[lastModel] = {\n      ...modelDownloads.value[lastModel],\n      downloading: false,\n      progress: 100,\n      completed: true\n    }\n  } else if (detail.status === 'error') {\n    modelDownloads.value[lastModel] = {\n      ...modelDownloads.value[lastModel],\n      downloading: false,\n      progress: 0,\n      error: detail.message,\n      completed: false\n    }\n  }\n  // TODO: other statuses?\n}\n\nconst triggerDownload = async (\n  url: string,\n  directory: string,\n  filename: string\n) => {\n  modelDownloads.value[filename] = {\n    name: filename,\n    directory,\n    url,\n    downloading: true,\n    progress: 0\n  }\n  const download = await api.internalDownloadModel(url, directory, filename, 1)\n  handleDownloadProgress(download)\n}\n\napi.addEventListener('download_progress', (event) => {\n  handleDownloadProgress(event.detail)\n})\n\nconst missingModels = computed(() => {\n  return props.missingModels.map((model) => {\n    const downloadInfo = modelDownloads.value[model.name]\n    if (!allowedSources.some((source) => model.url.startsWith(source))) {\n      return {\n        label: `${model.directory} / ${model.name}`,\n        hint: model.url,\n        error:\n          'Download not allowed from this source: ' + allowedSources.join(', ')\n      }\n    }\n    if (!allowedSuffixes.some((suffix) => model.name.endsWith(suffix))) {\n      return {\n        label: `${model.directory} / ${model.name}`,\n        hint: model.url,\n        error: 'Only allowed suffixes are ' + allowedSuffixes.join(', ')\n      }\n    }\n    if (model.directory_invalid) {\n      return {\n        label: `${model.directory} / ${model.name}`,\n        hint: model.url,\n        error: 'Invalid directory specified (does this require custom nodes?)'\n      }\n    }\n    return {\n      label: `${model.directory} / ${model.name}`,\n      hint: model.url,\n      downloading: downloadInfo?.downloading ?? false,\n      completed: downloadInfo?.completed ?? false,\n      progress: downloadInfo?.progress ?? 0,\n      error: downloadInfo?.error,\n      action: {\n        text: 'Download',\n        callback: () => triggerDownload(model.url, model.directory, model.name)\n      }\n    }\n  })\n})\n</script>\n\n<style>\n:root {\n  --red-600: #dc3545;\n  --green-500: #28a745;\n}\n</style>\n\n<style scoped>\n.comfy-missing-models {\n  font-family: monospace;\n  color: var(--red-600);\n  padding: 1.5rem;\n  background-color: var(--surface-ground);\n  border-radius: var(--border-radius);\n  box-shadow: var(--card-shadow);\n}\n\n.warning-title {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\n.warning-description {\n  margin-bottom: 1rem;\n}\n\n.missing-models-list {\n  max-height: 300px;\n  overflow-y: auto;\n}\n\n.missing-models-list.maximized {\n  max-height: unset;\n}\n\n.missing-model-item {\n  display: flex;\n  align-items: flex-start;\n  padding: 0.5rem;\n  position: relative;\n  overflow: hidden;\n  width: 100%;\n}\n\n.missing-model-item::before {\n  content: '';\n  position: absolute;\n  top: 0;\n  left: 0;\n  height: 100%;\n  width: var(--progress);\n  background-color: var(--green-500);\n  opacity: 0.2;\n  transition: width 0.3s ease;\n}\n\n.model-info {\n  flex: 1;\n  min-width: 0;\n  z-index: 1;\n  display: flex;\n  flex-direction: column;\n  margin-right: 1rem;\n  overflow: hidden;\n}\n\n.model-details {\n  display: flex;\n  align-items: center;\n  flex-wrap: wrap;\n}\n\n.model-type {\n  font-weight: 600;\n  color: var(--text-color);\n  margin-right: 0.5rem;\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n}\n\n.model-hint {\n  font-style: italic;\n  color: var(--text-color-secondary);\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n}\n\n.model-error {\n  color: var(--red-600);\n  font-size: 0.8rem;\n  margin-top: 0.25rem;\n}\n\n.model-action {\n  display: flex;\n  align-items: center;\n  justify-content: flex-end;\n  z-index: 1;\n}\n\n.model-action-button {\n  min-width: 80px;\n}\n\n.download-progress,\n.download-complete,\n.download-error {\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  min-width: 80px;\n}\n\n.progress-text {\n  font-size: 0.8rem;\n  color: var(--text-color);\n}\n\n.download-complete i,\n.download-error i {\n  font-size: 1.2rem;\n}\n</style>\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-tabs {\\n    display: flex;\\n    flex-direction: column;\\n}\\n\\n.p-tablist {\\n    position: relative;\\n}\\n\\n.p-tabs-scrollable > .p-tablist {\\n    overflow: hidden;\\n}\\n\\n.p-tablist-viewport {\\n    overflow-x: auto;\\n    overflow-y: hidden;\\n    scroll-behavior: smooth;\\n    scrollbar-width: none;\\n    overscroll-behavior: contain auto;\\n}\\n\\n.p-tablist-viewport::-webkit-scrollbar {\\n    display: none;\\n}\\n\\n.p-tablist-tab-list {\\n    position: relative;\\n    display: flex;\\n    background: \".concat(dt('tabs.tablist.background'), \";\\n    border-style: solid;\\n    border-color: \").concat(dt('tabs.tablist.border.color'), \";\\n    border-width: \").concat(dt('tabs.tablist.border.width'), \";\\n}\\n\\n.p-tablist-nav-button {\\n    all: unset;\\n    position: absolute;\\n    top: 0;\\n    z-index: 2;\\n    height: 100%;\\n    display: flex;\\n    align-items: center;\\n    justify-content: center;\\n    background: \").concat(dt('tabs.nav.button.background'), \";\\n    color: \").concat(dt('tabs.nav.button.color'), \";\\n    width: \").concat(dt('tabs.nav.button.width'), \";\\n    transition: color \").concat(dt('tabs.transition.duration'), \", outline-color \").concat(dt('tabs.transition.duration'), \", box-shadow \").concat(dt('tabs.transition.duration'), \";\\n    box-shadow: \").concat(dt('tabs.nav.button.shadow'), \";\\n    outline-color: transparent;\\n    cursor: pointer;\\n}\\n\\n.p-tablist-nav-button:focus-visible {\\n    z-index: 1;\\n    box-shadow: \").concat(dt('tabs.nav.button.focus.ring.shadow'), \";\\n    outline: \").concat(dt('tabs.nav.button.focus.ring.width'), \" \").concat(dt('tabs.nav.button.focus.ring.style'), \" \").concat(dt('tabs.nav.button.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('tabs.nav.button.focus.ring.offset'), \";\\n}\\n\\n.p-tablist-nav-button:hover {\\n    color: \").concat(dt('tabs.nav.button.hover.color'), \";\\n}\\n\\n.p-tablist-prev-button {\\n    left: 0;\\n}\\n\\n.p-tablist-next-button {\\n    right: 0;\\n}\\n\\n.p-tab {\\n    cursor: pointer;\\n    user-select: none;\\n    position: relative;\\n    border-style: solid;\\n    white-space: nowrap;\\n    background: \").concat(dt('tabs.tab.background'), \";\\n    border-width: \").concat(dt('tabs.tab.border.width'), \";\\n    border-color: \").concat(dt('tabs.tab.border.color'), \";\\n    color: \").concat(dt('tabs.tab.color'), \";\\n    padding: \").concat(dt('tabs.tab.padding'), \";\\n    font-weight: \").concat(dt('tabs.tab.font.weight'), \";\\n    transition: background \").concat(dt('tabs.transition.duration'), \", border-color \").concat(dt('tabs.transition.duration'), \", color \").concat(dt('tabs.transition.duration'), \", outline-color \").concat(dt('tabs.transition.duration'), \", box-shadow \").concat(dt('tabs.transition.duration'), \";\\n    margin: \").concat(dt('tabs.tab.margin'), \";\\n    outline-color: transparent;\\n}\\n\\n.p-tab:not(.p-disabled):focus-visible {\\n    z-index: 1;\\n    box-shadow: \").concat(dt('tabs.tab.focus.ring.shadow'), \";\\n    outline: \").concat(dt('tabs.tab.focus.ring.width'), \" \").concat(dt('tabs.tab.focus.ring.style'), \" \").concat(dt('tabs.tab.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('tabs.tab.focus.ring.offset'), \";\\n}\\n\\n.p-tab:not(.p-tab-active):not(.p-disabled):hover {\\n    background: \").concat(dt('tabs.tab.hover.background'), \";\\n    border-color: \").concat(dt('tabs.tab.hover.border.color'), \";\\n    color: \").concat(dt('tabs.tab.hover.color'), \";\\n}\\n\\n.p-tab-active {\\n    background: \").concat(dt('tabs.tab.active.background'), \";\\n    border-color: \").concat(dt('tabs.tab.active.border.color'), \";\\n    color: \").concat(dt('tabs.tab.active.color'), \";\\n}\\n\\n.p-tabpanels {\\n    background: \").concat(dt('tabs.tabpanel.background'), \";\\n    color: \").concat(dt('tabs.tabpanel.color'), \";\\n    padding: \").concat(dt('tabs.tabpanel.padding'), \";\\n    outline: 0 none;\\n}\\n\\n.p-tabpanel:focus-visible {\\n    box-shadow: \").concat(dt('tabs.tabpanel.focus.ring.shadow'), \";\\n    outline: \").concat(dt('tabs.tabpanel.focus.ring.width'), \" \").concat(dt('tabs.tabpanel.focus.ring.style'), \" \").concat(dt('tabs.tabpanel.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('tabs.tabpanel.focus.ring.offset'), \";\\n}\\n\\n.p-tablist-active-bar {\\n    z-index: 1;\\n    display: block;\\n    position: absolute;\\n    bottom: \").concat(dt('tabs.active.bar.bottom'), \";\\n    height: \").concat(dt('tabs.active.bar.height'), \";\\n    background: \").concat(dt('tabs.active.bar.background'), \";\\n    transition: 250ms cubic-bezier(0.35, 0, 0.25, 1);\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var props = _ref2.props;\n    return ['p-tabs p-component', {\n      'p-tabs-scrollable': props.scrollable\n    }];\n  }\n};\nvar TabsStyle = BaseStyle.extend({\n  name: 'tabs',\n  theme: theme,\n  classes: classes\n});\n\nexport { TabsStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { UniqueComponentId } from '@primevue/core/utils';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport TabsStyle from 'primevue/tabs/style';\nimport { openBlock, createElementBlock, mergeProps, renderSlot } from 'vue';\n\nvar script$1 = {\n  name: 'BaseTabs',\n  \"extends\": BaseComponent,\n  props: {\n    value: {\n      type: String,\n      \"default\": undefined\n    },\n    lazy: {\n      type: Boolean,\n      \"default\": false\n    },\n    scrollable: {\n      type: Boolean,\n      \"default\": false\n    },\n    showNavigators: {\n      type: Boolean,\n      \"default\": true\n    },\n    tabindex: {\n      type: Number,\n      \"default\": 0\n    },\n    selectOnFocus: {\n      type: Boolean,\n      \"default\": false\n    }\n  },\n  style: TabsStyle,\n  provide: function provide() {\n    return {\n      $pcTabs: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'Tabs',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:value'],\n  data: function data() {\n    return {\n      id: this.$attrs.id,\n      d_value: this.value\n    };\n  },\n  watch: {\n    '$attrs.id': function $attrsId(newValue) {\n      this.id = newValue || UniqueComponentId();\n    },\n    value: function value(newValue) {\n      this.d_value = newValue;\n    }\n  },\n  mounted: function mounted() {\n    this.id = this.id || UniqueComponentId();\n  },\n  methods: {\n    updateValue: function updateValue(newValue) {\n      if (this.d_value !== newValue) {\n        this.d_value = newValue;\n        this.$emit('update:value', newValue);\n      }\n    },\n    isVertical: function isVertical() {\n      return this.orientation === 'vertical';\n    }\n  }\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root')), [renderSlot(_ctx.$slots, \"default\")], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar classes = {\n  root: 'p-tabpanels'\n};\nvar TabPanelsStyle = BaseStyle.extend({\n  name: 'tabpanels',\n  classes: classes\n});\n\nexport { TabPanelsStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport TabPanelsStyle from 'primevue/tabpanels/style';\nimport { openBlock, createElementBlock, mergeProps, renderSlot } from 'vue';\n\nvar script$1 = {\n  name: 'BaseTabPanels',\n  \"extends\": BaseComponent,\n  props: {},\n  style: TabPanelsStyle,\n  provide: function provide() {\n    return {\n      $pcTabPanels: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'TabPanels',\n  \"extends\": script$1,\n  inheritAttrs: false\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root'),\n    role: \"presentation\"\n  }, _ctx.ptmi('root')), [renderSlot(_ctx.$slots, \"default\")], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar classes = {\n  root: function root(_ref) {\n    var instance = _ref.instance;\n    return ['p-tabpanel', {\n      'p-tabpanel-active': instance.active\n    }];\n  }\n};\nvar TabPanelStyle = BaseStyle.extend({\n  name: 'tabpanel',\n  classes: classes\n});\n\nexport { TabPanelStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { equals } from '@primeuix/utils/object';\nimport { mergeProps, renderSlot, openBlock, createElementBlock, Fragment, withDirectives, createBlock, resolveDynamicComponent, withCtx, vShow, createCommentVNode, normalizeClass } from 'vue';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport TabPanelStyle from 'primevue/tabpanel/style';\n\nvar script$1 = {\n  name: 'BaseTabPanel',\n  \"extends\": BaseComponent,\n  props: {\n    // in Tabs\n    value: {\n      type: String,\n      \"default\": undefined\n    },\n    as: {\n      type: String,\n      \"default\": 'DIV'\n    },\n    asChild: {\n      type: Boolean,\n      \"default\": false\n    },\n    // in TabView\n    header: null,\n    headerStyle: null,\n    headerClass: null,\n    headerProps: null,\n    headerActionProps: null,\n    contentStyle: null,\n    contentClass: null,\n    contentProps: null,\n    disabled: Boolean\n  },\n  style: TabPanelStyle,\n  provide: function provide() {\n    return {\n      $pcTabPanel: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'TabPanel',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  inject: ['$pcTabs'],\n  computed: {\n    active: function active() {\n      var _this$$pcTabs;\n      return equals((_this$$pcTabs = this.$pcTabs) === null || _this$$pcTabs === void 0 ? void 0 : _this$$pcTabs.d_value, this.value);\n    },\n    id: function id() {\n      var _this$$pcTabs2;\n      return \"\".concat((_this$$pcTabs2 = this.$pcTabs) === null || _this$$pcTabs2 === void 0 ? void 0 : _this$$pcTabs2.id, \"_tabpanel_\").concat(this.value);\n    },\n    ariaLabelledby: function ariaLabelledby() {\n      var _this$$pcTabs3;\n      return \"\".concat((_this$$pcTabs3 = this.$pcTabs) === null || _this$$pcTabs3 === void 0 ? void 0 : _this$$pcTabs3.id, \"_tab_\").concat(this.value);\n    },\n    attrs: function attrs() {\n      return mergeProps(this.a11yAttrs, this.ptmi('root', this.ptParams));\n    },\n    a11yAttrs: function a11yAttrs() {\n      var _this$$pcTabs4;\n      return {\n        id: this.id,\n        tabindex: (_this$$pcTabs4 = this.$pcTabs) === null || _this$$pcTabs4 === void 0 ? void 0 : _this$$pcTabs4.tabindex,\n        role: 'tabpanel',\n        'aria-labelledby': this.ariaLabelledby,\n        'data-pc-name': 'tabpanel',\n        'data-p-active': this.active\n      };\n    },\n    ptParams: function ptParams() {\n      return {\n        context: {\n          active: this.active\n        }\n      };\n    }\n  }\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _$options$$pcTabs, _$options$$pcTabs2;\n  return !$options.$pcTabs ? renderSlot(_ctx.$slots, \"default\", {\n    key: 0\n  }) : (openBlock(), createElementBlock(Fragment, {\n    key: 1\n  }, [!_ctx.asChild ? (openBlock(), createElementBlock(Fragment, {\n    key: 0\n  }, [((_$options$$pcTabs = $options.$pcTabs) !== null && _$options$$pcTabs !== void 0 && _$options$$pcTabs.lazy ? $options.active : true) ? withDirectives((openBlock(), createBlock(resolveDynamicComponent(_ctx.as), mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('root')\n  }, $options.attrs), {\n    \"default\": withCtx(function () {\n      return [renderSlot(_ctx.$slots, \"default\")];\n    }),\n    _: 3\n  }, 16, [\"class\"])), [[vShow, (_$options$$pcTabs2 = $options.$pcTabs) !== null && _$options$$pcTabs2 !== void 0 && _$options$$pcTabs2.lazy ? true : $options.active]]) : createCommentVNode(\"\", true)], 64)) : renderSlot(_ctx.$slots, \"default\", {\n    key: 1,\n    \"class\": normalizeClass(_ctx.cx('root')),\n    active: $options.active,\n    a11yAttrs: $options.a11yAttrs\n  })], 64));\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-divider-horizontal {\\n    display: flex;\\n    width: 100%;\\n    position: relative;\\n    align-items: center;\\n    margin: \".concat(dt('divider.horizontal.margin'), \";\\n    padding: \").concat(dt('divider.horizontal.padding'), \";\\n}\\n\\n.p-divider-horizontal:before {\\n    position: absolute;\\n    display: block;\\n    top: 50%;\\n    left: 0;\\n    width: 100%;\\n    content: \\\"\\\";\\n    border-top: 1px solid \").concat(dt('divider.border.color'), \";\\n}\\n\\n.p-divider-horizontal .p-divider-content {\\n    padding: \").concat(dt('divider.horizontal.content.padding'), \";\\n}\\n\\n.p-divider-vertical {\\n    min-height: 100%;\\n    margin: 0 1rem;\\n    display: flex;\\n    position: relative;\\n    justify-content: center;\\n    margin: \").concat(dt('divider.vertical.margin'), \";\\n    padding: \").concat(dt('divider.vertical.padding'), \";\\n}\\n\\n.p-divider-vertical:before {\\n    position: absolute;\\n    display: block;\\n    top: 0;\\n    left: 50%;\\n    height: 100%;\\n    content: \\\"\\\";\\n    border-left: 1px solid \").concat(dt('divider.border.color'), \";\\n}\\n\\n.p-divider.p-divider-vertical .p-divider-content {\\n    padding: \").concat(dt('divider.vertical.content.padding'), \";\\n}\\n\\n.p-divider-content {\\n    z-index: 1;\\n    background: \").concat(dt('divider.content.background'), \";\\n    color: \").concat(dt('divider.content.color'), \";\\n}\\n\\n.p-divider-solid.p-divider-horizontal:before {\\n    border-top-style: solid;\\n}\\n\\n.p-divider-solid.p-divider-vertical:before {\\n    border-left-style: solid;\\n}\\n\\n.p-divider-dashed.p-divider-horizontal:before {\\n    border-top-style: dashed;\\n}\\n\\n.p-divider-dashed.p-divider-vertical:before {\\n    border-left-style: dashed;\\n}\\n\\n.p-divider-dotted.p-divider-horizontal:before {\\n    border-top-style: dotted;\\n}\\n\\n.p-divider-dotted.p-divider-vertical:before {\\n    border-left-style: dotted;\\n}\\n\");\n};\n\n/* Position */\nvar inlineStyles = {\n  root: function root(_ref2) {\n    var props = _ref2.props;\n    return {\n      justifyContent: props.layout === 'horizontal' ? props.align === 'center' || props.align === null ? 'center' : props.align === 'left' ? 'flex-start' : props.align === 'right' ? 'flex-end' : null : null,\n      alignItems: props.layout === 'vertical' ? props.align === 'center' || props.align === null ? 'center' : props.align === 'top' ? 'flex-start' : props.align === 'bottom' ? 'flex-end' : null : null\n    };\n  }\n};\nvar classes = {\n  root: function root(_ref3) {\n    var props = _ref3.props;\n    return ['p-divider p-component', 'p-divider-' + props.layout, 'p-divider-' + props.type, {\n      'p-divider-left': props.layout === 'horizontal' && (!props.align || props.align === 'left')\n    }, {\n      'p-divider-center': props.layout === 'horizontal' && props.align === 'center'\n    }, {\n      'p-divider-right': props.layout === 'horizontal' && props.align === 'right'\n    }, {\n      'p-divider-top': props.layout === 'vertical' && props.align === 'top'\n    }, {\n      'p-divider-center': props.layout === 'vertical' && (!props.align || props.align === 'center')\n    }, {\n      'p-divider-bottom': props.layout === 'vertical' && props.align === 'bottom'\n    }];\n  },\n  content: 'p-divider-content'\n};\nvar DividerStyle = BaseStyle.extend({\n  name: 'divider',\n  theme: theme,\n  classes: classes,\n  inlineStyles: inlineStyles\n});\n\nexport { DividerStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport DividerStyle from 'primevue/divider/style';\nimport { openBlock, createElementBlock, mergeProps, renderSlot, createCommentVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BaseDivider',\n  \"extends\": BaseComponent,\n  props: {\n    align: {\n      type: String,\n      \"default\": null\n    },\n    layout: {\n      type: String,\n      \"default\": 'horizontal'\n    },\n    type: {\n      type: String,\n      \"default\": 'solid'\n    }\n  },\n  style: DividerStyle,\n  provide: function provide() {\n    return {\n      $pcDivider: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'Divider',\n  \"extends\": script$1,\n  inheritAttrs: false\n};\n\nvar _hoisted_1 = [\"aria-orientation\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root'),\n    style: _ctx.sx('root'),\n    role: \"separator\",\n    \"aria-orientation\": _ctx.layout\n  }, _ctx.ptmi('root')), [_ctx.$slots[\"default\"] ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('content')\n  }, _ctx.ptm('content')), [renderSlot(_ctx.$slots, \"default\")], 16)) : createCommentVNode(\"\", true)], 16, _hoisted_1);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'AngleDownIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M3.58659 4.5007C3.68513 4.50023 3.78277 4.51945 3.87379 4.55723C3.9648 4.59501 4.04735 4.65058 4.11659 4.7207L7.11659 7.7207L10.1166 4.7207C10.2619 4.65055 10.4259 4.62911 10.5843 4.65956C10.7427 4.69002 10.8871 4.77074 10.996 4.88976C11.1049 5.00877 11.1726 5.15973 11.1889 5.32022C11.2052 5.48072 11.1693 5.6422 11.0866 5.7807L7.58659 9.2807C7.44597 9.42115 7.25534 9.50004 7.05659 9.50004C6.85784 9.50004 6.66722 9.42115 6.52659 9.2807L3.02659 5.7807C2.88614 5.64007 2.80725 5.44945 2.80725 5.2507C2.80725 5.05195 2.88614 4.86132 3.02659 4.7207C3.09932 4.64685 3.18675 4.58911 3.28322 4.55121C3.37969 4.51331 3.48305 4.4961 3.58659 4.5007Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'AngleUpIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M10.4134 9.49931C10.3148 9.49977 10.2172 9.48055 10.1262 9.44278C10.0352 9.405 9.95263 9.34942 9.88338 9.27931L6.88338 6.27931L3.88338 9.27931C3.73811 9.34946 3.57409 9.3709 3.41567 9.34044C3.25724 9.30999 3.11286 9.22926 3.00395 9.11025C2.89504 8.99124 2.82741 8.84028 2.8111 8.67978C2.79478 8.51928 2.83065 8.35781 2.91338 8.21931L6.41338 4.71931C6.55401 4.57886 6.74463 4.49997 6.94338 4.49997C7.14213 4.49997 7.33276 4.57886 7.47338 4.71931L10.9734 8.21931C11.1138 8.35994 11.1927 8.55056 11.1927 8.74931C11.1927 8.94806 11.1138 9.13868 10.9734 9.27931C10.9007 9.35315 10.8132 9.41089 10.7168 9.44879C10.6203 9.48669 10.5169 9.5039 10.4134 9.49931Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-inputnumber {\\n    display: inline-flex;\\n    position: relative;\\n}\\n\\n.p-inputnumber-button {\\n    display: flex;\\n    align-items: center;\\n    justify-content: center;\\n    flex: 0 0 auto;\\n    cursor: pointer;\\n    background: \".concat(dt('inputnumber.button.background'), \";\\n    color: \").concat(dt('inputnumber.button.color'), \";\\n    width: \").concat(dt('inputnumber.button.width'), \";\\n    transition: background \").concat(dt('inputnumber.transition.duration'), \", color \").concat(dt('inputnumber.transition.duration'), \", border-color \").concat(dt('inputnumber.transition.duration'), \", outline-color \").concat(dt('inputnumber.transition.duration'), \";\\n}\\n\\n.p-inputnumber-button:hover {\\n    background: \").concat(dt('inputnumber.button.hover.background'), \";\\n    color: \").concat(dt('inputnumber.button.hover.color'), \";\\n}\\n\\n.p-inputnumber-button:active {\\n    background: \").concat(dt('inputnumber.button.active.background'), \";\\n    color: \").concat(dt('inputnumber.button.active.color'), \";\\n}\\n\\n.p-inputnumber-stacked .p-inputnumber-button {\\n    position: relative;\\n    border: 0 none;\\n}\\n\\n.p-inputnumber-stacked .p-inputnumber-button-group {\\n    display: flex;\\n    flex-direction: column;\\n    position: absolute;\\n    top: 1px;\\n    right: 1px;\\n    height: calc(100% - 2px);\\n}\\n\\n.p-inputnumber-stacked .p-inputnumber-increment-button {\\n    padding: 0;\\n    border-top-right-radius: calc(\").concat(dt('inputnumber.button.border.radius'), \" - 1px);\\n}\\n\\n.p-inputnumber-stacked .p-inputnumber-decrement-button {\\n    padding: 0;\\n    border-bottom-right-radius: calc(\").concat(dt('inputnumber.button.border.radius'), \" - 1px);\\n}\\n\\n.p-inputnumber-stacked .p-inputnumber-button {\\n    flex: 1 1 auto;\\n    border: 0 none;\\n}\\n\\n.p-inputnumber-horizontal .p-inputnumber-button {\\n    border: 1px solid \").concat(dt('inputnumber.button.border.color'), \";\\n}\\n\\n.p-inputnumber-horizontal .p-inputnumber-button:hover {\\n    border-color: \").concat(dt('inputnumber.button.hover.border.color'), \";\\n}\\n\\n.p-inputnumber-horizontal .p-inputnumber-button:active {\\n    border-color: \").concat(dt('inputnumber.button.active.border.color'), \";\\n}\\n\\n.p-inputnumber-horizontal .p-inputnumber-increment-button {\\n    order: 3;\\n    border-top-right-radius: \").concat(dt('inputnumber.button.border.radius'), \";\\n    border-bottom-right-radius: \").concat(dt('inputnumber.button.border.radius'), \";\\n    border-left: 0 none;\\n}\\n\\n.p-inputnumber-horizontal .p-inputnumber-input {\\n    order: 2;\\n    border-radius: 0;\\n}\\n\\n.p-inputnumber-horizontal .p-inputnumber-decrement-button {\\n    order: 1;\\n    border-top-left-radius: \").concat(dt('inputnumber.button.border.radius'), \";\\n    border-bottom-left-radius: \").concat(dt('inputnumber.button.border.radius'), \";\\n    border-right: 0 none;\\n}\\n\\n.p-inputnumber-vertical {\\n    flex-direction: column;\\n}\\n\\n.p-inputnumber-vertical .p-inputnumber-button {\\n    border: 1px solid \").concat(dt('inputnumber.button.border.color'), \";\\n    padding: \").concat(dt('inputnumber.button.vertical.padding'), \"; 0;\\n}\\n\\n.p-inputnumber-vertical .p-inputnumber-button:hover {\\n    border-color: \").concat(dt('inputnumber.button.hover.border.color'), \";\\n}\\n\\n.p-inputnumber-vertical .p-inputnumber-button:active {\\n    border-color: \").concat(dt('inputnumber.button.active.border.color'), \";\\n}\\n\\n.p-inputnumber-vertical .p-inputnumber-increment-button {\\n    order: 1;\\n    border-top-left-radius: \").concat(dt('inputnumber.button.border.radius'), \";\\n    border-top-right-radius: \").concat(dt('inputnumber.button.border.radius'), \";\\n    width: 100%;\\n    border-bottom: 0 none;\\n}\\n\\n.p-inputnumber-vertical .p-inputnumber-input {\\n    order: 2;\\n    border-radius: 0;\\n    text-align: center;\\n}\\n\\n.p-inputnumber-vertical .p-inputnumber-decrement-button {\\n    order: 3;\\n    border-bottom-left-radius: \").concat(dt('inputnumber.button.border.radius'), \";\\n    border-bottom-right-radius: \").concat(dt('inputnumber.button.border.radius'), \";\\n    width: 100%;\\n    border-top: 0 none;\\n}\\n\\n.p-inputnumber-input {\\n    flex: 1 1 auto;\\n}\\n\\n.p-inputnumber-fluid {\\n    width: 100%;\\n}\\n\\n.p-inputnumber-fluid .p-inputnumber-input {\\n    width: 1%;\\n}\\n\\n.p-inputnumber-fluid.p-inputnumber-vertical .p-inputnumber-input {\\n    width: 100%;\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var instance = _ref2.instance,\n      props = _ref2.props;\n    return ['p-inputnumber p-component p-inputwrapper', {\n      'p-inputwrapper-filled': instance.filled || props.allowEmpty === false,\n      'p-inputwrapper-focus': instance.focused,\n      'p-inputnumber-stacked': props.showButtons && props.buttonLayout === 'stacked',\n      'p-inputnumber-horizontal': props.showButtons && props.buttonLayout === 'horizontal',\n      'p-inputnumber-vertical': props.showButtons && props.buttonLayout === 'vertical',\n      'p-inputnumber-fluid': instance.fluid\n    }];\n  },\n  pcInput: 'p-inputnumber-input',\n  buttonGroup: 'p-inputnumber-button-group',\n  incrementButton: function incrementButton(_ref3) {\n    var instance = _ref3.instance,\n      props = _ref3.props;\n    return ['p-inputnumber-button p-inputnumber-increment-button', {\n      'p-disabled': props.showButtons && props.max !== null && instance.maxBoundry()\n    }];\n  },\n  decrementButton: function decrementButton(_ref4) {\n    var instance = _ref4.instance,\n      props = _ref4.props;\n    return ['p-inputnumber-button p-inputnumber-decrement-button', {\n      'p-disabled': props.showButtons && props.min !== null && instance.minBoundry()\n    }];\n  }\n};\nvar InputNumberStyle = BaseStyle.extend({\n  name: 'inputnumber',\n  theme: theme,\n  classes: classes\n});\n\nexport { InputNumberStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { getSelection, clearSelection } from '@primeuix/utils/dom';\nimport { isNotEmpty } from '@primeuix/utils/object';\nimport AngleDownIcon from '@primevue/icons/angledown';\nimport AngleUpIcon from '@primevue/icons/angleup';\nimport InputText from 'primevue/inputtext';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport InputNumberStyle from 'primevue/inputnumber/style';\nimport { resolveComponent, openBlock, createElementBlock, mergeProps, createVNode, normalizeClass, normalizeStyle, renderSlot, createElementVNode, toHandlers, createBlock, resolveDynamicComponent, createCommentVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BaseInputNumber',\n  \"extends\": BaseComponent,\n  props: {\n    modelValue: {\n      type: Number,\n      \"default\": null\n    },\n    format: {\n      type: Boolean,\n      \"default\": true\n    },\n    showButtons: {\n      type: Boolean,\n      \"default\": false\n    },\n    buttonLayout: {\n      type: String,\n      \"default\": 'stacked'\n    },\n    incrementButtonClass: {\n      type: String,\n      \"default\": null\n    },\n    decrementButtonClass: {\n      type: String,\n      \"default\": null\n    },\n    incrementButtonIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    incrementIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    decrementButtonIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    decrementIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    locale: {\n      type: String,\n      \"default\": undefined\n    },\n    localeMatcher: {\n      type: String,\n      \"default\": undefined\n    },\n    mode: {\n      type: String,\n      \"default\": 'decimal'\n    },\n    prefix: {\n      type: String,\n      \"default\": null\n    },\n    suffix: {\n      type: String,\n      \"default\": null\n    },\n    currency: {\n      type: String,\n      \"default\": undefined\n    },\n    currencyDisplay: {\n      type: String,\n      \"default\": undefined\n    },\n    useGrouping: {\n      type: Boolean,\n      \"default\": true\n    },\n    minFractionDigits: {\n      type: Number,\n      \"default\": undefined\n    },\n    maxFractionDigits: {\n      type: Number,\n      \"default\": undefined\n    },\n    roundingMode: {\n      type: String,\n      \"default\": 'halfExpand',\n      validator: function validator(value) {\n        return ['ceil', 'floor', 'expand', 'trunc', 'halfCeil', 'halfFloor', 'halfExpand', 'halfTrunc', 'halfEven'].includes(value);\n      }\n    },\n    min: {\n      type: Number,\n      \"default\": null\n    },\n    max: {\n      type: Number,\n      \"default\": null\n    },\n    step: {\n      type: Number,\n      \"default\": 1\n    },\n    allowEmpty: {\n      type: Boolean,\n      \"default\": true\n    },\n    highlightOnFocus: {\n      type: Boolean,\n      \"default\": false\n    },\n    readonly: {\n      type: Boolean,\n      \"default\": false\n    },\n    variant: {\n      type: String,\n      \"default\": null\n    },\n    invalid: {\n      type: Boolean,\n      \"default\": false\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    placeholder: {\n      type: String,\n      \"default\": null\n    },\n    fluid: {\n      type: Boolean,\n      \"default\": false\n    },\n    inputId: {\n      type: String,\n      \"default\": null\n    },\n    inputClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    inputStyle: {\n      type: Object,\n      \"default\": null\n    },\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: InputNumberStyle,\n  provide: function provide() {\n    return {\n      $pcInputNumber: this,\n      $parentInstance: this\n    };\n  }\n};\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar script = {\n  name: 'InputNumber',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue', 'input', 'focus', 'blur'],\n  numberFormat: null,\n  _numeral: null,\n  _decimal: null,\n  _group: null,\n  _minusSign: null,\n  _currency: null,\n  _suffix: null,\n  _prefix: null,\n  _index: null,\n  groupChar: '',\n  isSpecialChar: null,\n  prefixChar: null,\n  suffixChar: null,\n  timer: null,\n  data: function data() {\n    return {\n      d_modelValue: this.modelValue,\n      focused: false\n    };\n  },\n  watch: {\n    modelValue: function modelValue(newValue) {\n      this.d_modelValue = newValue;\n    },\n    locale: function locale(newValue, oldValue) {\n      this.updateConstructParser(newValue, oldValue);\n    },\n    localeMatcher: function localeMatcher(newValue, oldValue) {\n      this.updateConstructParser(newValue, oldValue);\n    },\n    mode: function mode(newValue, oldValue) {\n      this.updateConstructParser(newValue, oldValue);\n    },\n    currency: function currency(newValue, oldValue) {\n      this.updateConstructParser(newValue, oldValue);\n    },\n    currencyDisplay: function currencyDisplay(newValue, oldValue) {\n      this.updateConstructParser(newValue, oldValue);\n    },\n    useGrouping: function useGrouping(newValue, oldValue) {\n      this.updateConstructParser(newValue, oldValue);\n    },\n    minFractionDigits: function minFractionDigits(newValue, oldValue) {\n      this.updateConstructParser(newValue, oldValue);\n    },\n    maxFractionDigits: function maxFractionDigits(newValue, oldValue) {\n      this.updateConstructParser(newValue, oldValue);\n    },\n    suffix: function suffix(newValue, oldValue) {\n      this.updateConstructParser(newValue, oldValue);\n    },\n    prefix: function prefix(newValue, oldValue) {\n      this.updateConstructParser(newValue, oldValue);\n    }\n  },\n  created: function created() {\n    this.constructParser();\n  },\n  methods: {\n    getOptions: function getOptions() {\n      return {\n        localeMatcher: this.localeMatcher,\n        style: this.mode,\n        currency: this.currency,\n        currencyDisplay: this.currencyDisplay,\n        useGrouping: this.useGrouping,\n        minimumFractionDigits: this.minFractionDigits,\n        maximumFractionDigits: this.maxFractionDigits,\n        roundingMode: this.roundingMode\n      };\n    },\n    constructParser: function constructParser() {\n      this.numberFormat = new Intl.NumberFormat(this.locale, this.getOptions());\n      var numerals = _toConsumableArray(new Intl.NumberFormat(this.locale, {\n        useGrouping: false\n      }).format(9876543210)).reverse();\n      var index = new Map(numerals.map(function (d, i) {\n        return [d, i];\n      }));\n      this._numeral = new RegExp(\"[\".concat(numerals.join(''), \"]\"), 'g');\n      this._group = this.getGroupingExpression();\n      this._minusSign = this.getMinusSignExpression();\n      this._currency = this.getCurrencyExpression();\n      this._decimal = this.getDecimalExpression();\n      this._suffix = this.getSuffixExpression();\n      this._prefix = this.getPrefixExpression();\n      this._index = function (d) {\n        return index.get(d);\n      };\n    },\n    updateConstructParser: function updateConstructParser(newValue, oldValue) {\n      if (newValue !== oldValue) {\n        this.constructParser();\n      }\n    },\n    escapeRegExp: function escapeRegExp(text) {\n      return text.replace(/[-[\\]{}()*+?.,\\\\^$|#\\s]/g, '\\\\$&');\n    },\n    getDecimalExpression: function getDecimalExpression() {\n      var formatter = new Intl.NumberFormat(this.locale, _objectSpread(_objectSpread({}, this.getOptions()), {}, {\n        useGrouping: false\n      }));\n      return new RegExp(\"[\".concat(formatter.format(1.1).replace(this._currency, '').trim().replace(this._numeral, ''), \"]\"), 'g');\n    },\n    getGroupingExpression: function getGroupingExpression() {\n      var formatter = new Intl.NumberFormat(this.locale, {\n        useGrouping: true\n      });\n      this.groupChar = formatter.format(1000000).trim().replace(this._numeral, '').charAt(0);\n      return new RegExp(\"[\".concat(this.groupChar, \"]\"), 'g');\n    },\n    getMinusSignExpression: function getMinusSignExpression() {\n      var formatter = new Intl.NumberFormat(this.locale, {\n        useGrouping: false\n      });\n      return new RegExp(\"[\".concat(formatter.format(-1).trim().replace(this._numeral, ''), \"]\"), 'g');\n    },\n    getCurrencyExpression: function getCurrencyExpression() {\n      if (this.currency) {\n        var formatter = new Intl.NumberFormat(this.locale, {\n          style: 'currency',\n          currency: this.currency,\n          currencyDisplay: this.currencyDisplay,\n          minimumFractionDigits: 0,\n          maximumFractionDigits: 0,\n          roundingMode: this.roundingMode\n        });\n        return new RegExp(\"[\".concat(formatter.format(1).replace(/\\s/g, '').replace(this._numeral, '').replace(this._group, ''), \"]\"), 'g');\n      }\n      return new RegExp(\"[]\", 'g');\n    },\n    getPrefixExpression: function getPrefixExpression() {\n      if (this.prefix) {\n        this.prefixChar = this.prefix;\n      } else {\n        var formatter = new Intl.NumberFormat(this.locale, {\n          style: this.mode,\n          currency: this.currency,\n          currencyDisplay: this.currencyDisplay\n        });\n        this.prefixChar = formatter.format(1).split('1')[0];\n      }\n      return new RegExp(\"\".concat(this.escapeRegExp(this.prefixChar || '')), 'g');\n    },\n    getSuffixExpression: function getSuffixExpression() {\n      if (this.suffix) {\n        this.suffixChar = this.suffix;\n      } else {\n        var formatter = new Intl.NumberFormat(this.locale, {\n          style: this.mode,\n          currency: this.currency,\n          currencyDisplay: this.currencyDisplay,\n          minimumFractionDigits: 0,\n          maximumFractionDigits: 0,\n          roundingMode: this.roundingMode\n        });\n        this.suffixChar = formatter.format(1).split('1')[1];\n      }\n      return new RegExp(\"\".concat(this.escapeRegExp(this.suffixChar || '')), 'g');\n    },\n    formatValue: function formatValue(value) {\n      if (value != null) {\n        if (value === '-') {\n          // Minus sign\n          return value;\n        }\n        if (this.format) {\n          var formatter = new Intl.NumberFormat(this.locale, this.getOptions());\n          var formattedValue = formatter.format(value);\n          if (this.prefix) {\n            formattedValue = this.prefix + formattedValue;\n          }\n          if (this.suffix) {\n            formattedValue = formattedValue + this.suffix;\n          }\n          return formattedValue;\n        }\n        return value.toString();\n      }\n      return '';\n    },\n    parseValue: function parseValue(text) {\n      var filteredText = text.replace(this._suffix, '').replace(this._prefix, '').trim().replace(/\\s/g, '').replace(this._currency, '').replace(this._group, '').replace(this._minusSign, '-').replace(this._decimal, '.').replace(this._numeral, this._index);\n      if (filteredText) {\n        if (filteredText === '-')\n          // Minus sign\n          return filteredText;\n        var parsedValue = +filteredText;\n        return isNaN(parsedValue) ? null : parsedValue;\n      }\n      return null;\n    },\n    repeat: function repeat(event, interval, dir) {\n      var _this = this;\n      if (this.readonly) {\n        return;\n      }\n      var i = interval || 500;\n      this.clearTimer();\n      this.timer = setTimeout(function () {\n        _this.repeat(event, 40, dir);\n      }, i);\n      this.spin(event, dir);\n    },\n    spin: function spin(event, dir) {\n      if (this.$refs.input) {\n        var step = this.step * dir;\n        var currentValue = this.parseValue(this.$refs.input.$el.value) || 0;\n        var newValue = this.validateValue(currentValue + step);\n        this.updateInput(newValue, null, 'spin');\n        this.updateModel(event, newValue);\n        this.handleOnInput(event, currentValue, newValue);\n      }\n    },\n    onUpButtonMouseDown: function onUpButtonMouseDown(event) {\n      if (!this.disabled) {\n        this.$refs.input.$el.focus();\n        this.repeat(event, null, 1);\n        event.preventDefault();\n      }\n    },\n    onUpButtonMouseUp: function onUpButtonMouseUp() {\n      if (!this.disabled) {\n        this.clearTimer();\n      }\n    },\n    onUpButtonMouseLeave: function onUpButtonMouseLeave() {\n      if (!this.disabled) {\n        this.clearTimer();\n      }\n    },\n    onUpButtonKeyUp: function onUpButtonKeyUp() {\n      if (!this.disabled) {\n        this.clearTimer();\n      }\n    },\n    onUpButtonKeyDown: function onUpButtonKeyDown(event) {\n      if (event.code === 'Space' || event.code === 'Enter' || event.code === 'NumpadEnter') {\n        this.repeat(event, null, 1);\n      }\n    },\n    onDownButtonMouseDown: function onDownButtonMouseDown(event) {\n      if (!this.disabled) {\n        this.$refs.input.$el.focus();\n        this.repeat(event, null, -1);\n        event.preventDefault();\n      }\n    },\n    onDownButtonMouseUp: function onDownButtonMouseUp() {\n      if (!this.disabled) {\n        this.clearTimer();\n      }\n    },\n    onDownButtonMouseLeave: function onDownButtonMouseLeave() {\n      if (!this.disabled) {\n        this.clearTimer();\n      }\n    },\n    onDownButtonKeyUp: function onDownButtonKeyUp() {\n      if (!this.disabled) {\n        this.clearTimer();\n      }\n    },\n    onDownButtonKeyDown: function onDownButtonKeyDown(event) {\n      if (event.code === 'Space' || event.code === 'Enter' || event.code === 'NumpadEnter') {\n        this.repeat(event, null, -1);\n      }\n    },\n    onUserInput: function onUserInput() {\n      if (this.isSpecialChar) {\n        this.$refs.input.$el.value = this.lastValue;\n      }\n      this.isSpecialChar = false;\n    },\n    onInputKeyDown: function onInputKeyDown(event) {\n      if (this.readonly) {\n        return;\n      }\n      if (event.altKey || event.ctrlKey || event.metaKey) {\n        this.isSpecialChar = true;\n        this.lastValue = this.$refs.input.$el.value;\n        return;\n      }\n      this.lastValue = event.target.value;\n      var selectionStart = event.target.selectionStart;\n      var selectionEnd = event.target.selectionEnd;\n      var inputValue = event.target.value;\n      var newValueStr = null;\n      switch (event.code) {\n        case 'ArrowUp':\n          this.spin(event, 1);\n          event.preventDefault();\n          break;\n        case 'ArrowDown':\n          this.spin(event, -1);\n          event.preventDefault();\n          break;\n        case 'ArrowLeft':\n          if (!this.isNumeralChar(inputValue.charAt(selectionStart - 1))) {\n            event.preventDefault();\n          }\n          break;\n        case 'ArrowRight':\n          if (!this.isNumeralChar(inputValue.charAt(selectionStart))) {\n            event.preventDefault();\n          }\n          break;\n        case 'Tab':\n        case 'Enter':\n        case 'NumpadEnter':\n          newValueStr = this.validateValue(this.parseValue(inputValue));\n          this.$refs.input.$el.value = this.formatValue(newValueStr);\n          this.$refs.input.$el.setAttribute('aria-valuenow', newValueStr);\n          this.updateModel(event, newValueStr);\n          break;\n        case 'Backspace':\n          {\n            event.preventDefault();\n            if (selectionStart === selectionEnd) {\n              var deleteChar = inputValue.charAt(selectionStart - 1);\n              var _this$getDecimalCharI = this.getDecimalCharIndexes(inputValue),\n                decimalCharIndex = _this$getDecimalCharI.decimalCharIndex,\n                decimalCharIndexWithoutPrefix = _this$getDecimalCharI.decimalCharIndexWithoutPrefix;\n              if (this.isNumeralChar(deleteChar)) {\n                var decimalLength = this.getDecimalLength(inputValue);\n                if (this._group.test(deleteChar)) {\n                  this._group.lastIndex = 0;\n                  newValueStr = inputValue.slice(0, selectionStart - 2) + inputValue.slice(selectionStart - 1);\n                } else if (this._decimal.test(deleteChar)) {\n                  this._decimal.lastIndex = 0;\n                  if (decimalLength) {\n                    this.$refs.input.$el.setSelectionRange(selectionStart - 1, selectionStart - 1);\n                  } else {\n                    newValueStr = inputValue.slice(0, selectionStart - 1) + inputValue.slice(selectionStart);\n                  }\n                } else if (decimalCharIndex > 0 && selectionStart > decimalCharIndex) {\n                  var insertedText = this.isDecimalMode() && (this.minFractionDigits || 0) < decimalLength ? '' : '0';\n                  newValueStr = inputValue.slice(0, selectionStart - 1) + insertedText + inputValue.slice(selectionStart);\n                } else if (decimalCharIndexWithoutPrefix === 1) {\n                  newValueStr = inputValue.slice(0, selectionStart - 1) + '0' + inputValue.slice(selectionStart);\n                  newValueStr = this.parseValue(newValueStr) > 0 ? newValueStr : '';\n                } else {\n                  newValueStr = inputValue.slice(0, selectionStart - 1) + inputValue.slice(selectionStart);\n                }\n              }\n              this.updateValue(event, newValueStr, null, 'delete-single');\n            } else {\n              newValueStr = this.deleteRange(inputValue, selectionStart, selectionEnd);\n              this.updateValue(event, newValueStr, null, 'delete-range');\n            }\n            break;\n          }\n        case 'Delete':\n          event.preventDefault();\n          if (selectionStart === selectionEnd) {\n            var _deleteChar = inputValue.charAt(selectionStart);\n            var _this$getDecimalCharI2 = this.getDecimalCharIndexes(inputValue),\n              _decimalCharIndex = _this$getDecimalCharI2.decimalCharIndex,\n              _decimalCharIndexWithoutPrefix = _this$getDecimalCharI2.decimalCharIndexWithoutPrefix;\n            if (this.isNumeralChar(_deleteChar)) {\n              var _decimalLength = this.getDecimalLength(inputValue);\n              if (this._group.test(_deleteChar)) {\n                this._group.lastIndex = 0;\n                newValueStr = inputValue.slice(0, selectionStart) + inputValue.slice(selectionStart + 2);\n              } else if (this._decimal.test(_deleteChar)) {\n                this._decimal.lastIndex = 0;\n                if (_decimalLength) {\n                  this.$refs.input.$el.setSelectionRange(selectionStart + 1, selectionStart + 1);\n                } else {\n                  newValueStr = inputValue.slice(0, selectionStart) + inputValue.slice(selectionStart + 1);\n                }\n              } else if (_decimalCharIndex > 0 && selectionStart > _decimalCharIndex) {\n                var _insertedText = this.isDecimalMode() && (this.minFractionDigits || 0) < _decimalLength ? '' : '0';\n                newValueStr = inputValue.slice(0, selectionStart) + _insertedText + inputValue.slice(selectionStart + 1);\n              } else if (_decimalCharIndexWithoutPrefix === 1) {\n                newValueStr = inputValue.slice(0, selectionStart) + '0' + inputValue.slice(selectionStart + 1);\n                newValueStr = this.parseValue(newValueStr) > 0 ? newValueStr : '';\n              } else {\n                newValueStr = inputValue.slice(0, selectionStart) + inputValue.slice(selectionStart + 1);\n              }\n            }\n            this.updateValue(event, newValueStr, null, 'delete-back-single');\n          } else {\n            newValueStr = this.deleteRange(inputValue, selectionStart, selectionEnd);\n            this.updateValue(event, newValueStr, null, 'delete-range');\n          }\n          break;\n        case 'Home':\n          event.preventDefault();\n          if (isNotEmpty(this.min)) {\n            this.updateModel(event, this.min);\n          }\n          break;\n        case 'End':\n          event.preventDefault();\n          if (isNotEmpty(this.max)) {\n            this.updateModel(event, this.max);\n          }\n          break;\n      }\n    },\n    onInputKeyPress: function onInputKeyPress(event) {\n      if (this.readonly) {\n        return;\n      }\n      var _char = event.key;\n      var isDecimalSign = this.isDecimalSign(_char);\n      var isMinusSign = this.isMinusSign(_char);\n      if (event.code !== 'Enter') {\n        event.preventDefault();\n      }\n      if (Number(_char) >= 0 && Number(_char) <= 9 || isMinusSign || isDecimalSign) {\n        this.insert(event, _char, {\n          isDecimalSign: isDecimalSign,\n          isMinusSign: isMinusSign\n        });\n      }\n    },\n    onPaste: function onPaste(event) {\n      event.preventDefault();\n      var data = (event.clipboardData || window['clipboardData']).getData('Text');\n      if (data) {\n        var filteredData = this.parseValue(data);\n        if (filteredData != null) {\n          this.insert(event, filteredData.toString());\n        }\n      }\n    },\n    allowMinusSign: function allowMinusSign() {\n      return this.min === null || this.min < 0;\n    },\n    isMinusSign: function isMinusSign(_char2) {\n      if (this._minusSign.test(_char2) || _char2 === '-') {\n        this._minusSign.lastIndex = 0;\n        return true;\n      }\n      return false;\n    },\n    isDecimalSign: function isDecimalSign(_char3) {\n      if (this._decimal.test(_char3)) {\n        this._decimal.lastIndex = 0;\n        return true;\n      }\n      return false;\n    },\n    isDecimalMode: function isDecimalMode() {\n      return this.mode === 'decimal';\n    },\n    getDecimalCharIndexes: function getDecimalCharIndexes(val) {\n      var decimalCharIndex = val.search(this._decimal);\n      this._decimal.lastIndex = 0;\n      var filteredVal = val.replace(this._prefix, '').trim().replace(/\\s/g, '').replace(this._currency, '');\n      var decimalCharIndexWithoutPrefix = filteredVal.search(this._decimal);\n      this._decimal.lastIndex = 0;\n      return {\n        decimalCharIndex: decimalCharIndex,\n        decimalCharIndexWithoutPrefix: decimalCharIndexWithoutPrefix\n      };\n    },\n    getCharIndexes: function getCharIndexes(val) {\n      var decimalCharIndex = val.search(this._decimal);\n      this._decimal.lastIndex = 0;\n      var minusCharIndex = val.search(this._minusSign);\n      this._minusSign.lastIndex = 0;\n      var suffixCharIndex = val.search(this._suffix);\n      this._suffix.lastIndex = 0;\n      var currencyCharIndex = val.search(this._currency);\n      this._currency.lastIndex = 0;\n      return {\n        decimalCharIndex: decimalCharIndex,\n        minusCharIndex: minusCharIndex,\n        suffixCharIndex: suffixCharIndex,\n        currencyCharIndex: currencyCharIndex\n      };\n    },\n    insert: function insert(event, text) {\n      var sign = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {\n        isDecimalSign: false,\n        isMinusSign: false\n      };\n      var minusCharIndexOnText = text.search(this._minusSign);\n      this._minusSign.lastIndex = 0;\n      if (!this.allowMinusSign() && minusCharIndexOnText !== -1) {\n        return;\n      }\n      var selectionStart = this.$refs.input.$el.selectionStart;\n      var selectionEnd = this.$refs.input.$el.selectionEnd;\n      var inputValue = this.$refs.input.$el.value.trim();\n      var _this$getCharIndexes = this.getCharIndexes(inputValue),\n        decimalCharIndex = _this$getCharIndexes.decimalCharIndex,\n        minusCharIndex = _this$getCharIndexes.minusCharIndex,\n        suffixCharIndex = _this$getCharIndexes.suffixCharIndex,\n        currencyCharIndex = _this$getCharIndexes.currencyCharIndex;\n      var newValueStr;\n      if (sign.isMinusSign) {\n        if (selectionStart === 0) {\n          newValueStr = inputValue;\n          if (minusCharIndex === -1 || selectionEnd !== 0) {\n            newValueStr = this.insertText(inputValue, text, 0, selectionEnd);\n          }\n          this.updateValue(event, newValueStr, text, 'insert');\n        }\n      } else if (sign.isDecimalSign) {\n        if (decimalCharIndex > 0 && selectionStart === decimalCharIndex) {\n          this.updateValue(event, inputValue, text, 'insert');\n        } else if (decimalCharIndex > selectionStart && decimalCharIndex < selectionEnd) {\n          newValueStr = this.insertText(inputValue, text, selectionStart, selectionEnd);\n          this.updateValue(event, newValueStr, text, 'insert');\n        } else if (decimalCharIndex === -1 && this.maxFractionDigits) {\n          newValueStr = this.insertText(inputValue, text, selectionStart, selectionEnd);\n          this.updateValue(event, newValueStr, text, 'insert');\n        }\n      } else {\n        var maxFractionDigits = this.numberFormat.resolvedOptions().maximumFractionDigits;\n        var operation = selectionStart !== selectionEnd ? 'range-insert' : 'insert';\n        if (decimalCharIndex > 0 && selectionStart > decimalCharIndex) {\n          if (selectionStart + text.length - (decimalCharIndex + 1) <= maxFractionDigits) {\n            var charIndex = currencyCharIndex >= selectionStart ? currencyCharIndex - 1 : suffixCharIndex >= selectionStart ? suffixCharIndex : inputValue.length;\n            newValueStr = inputValue.slice(0, selectionStart) + text + inputValue.slice(selectionStart + text.length, charIndex) + inputValue.slice(charIndex);\n            this.updateValue(event, newValueStr, text, operation);\n          }\n        } else {\n          newValueStr = this.insertText(inputValue, text, selectionStart, selectionEnd);\n          this.updateValue(event, newValueStr, text, operation);\n        }\n      }\n    },\n    insertText: function insertText(value, text, start, end) {\n      var textSplit = text === '.' ? text : text.split('.');\n      if (textSplit.length === 2) {\n        var decimalCharIndex = value.slice(start, end).search(this._decimal);\n        this._decimal.lastIndex = 0;\n        return decimalCharIndex > 0 ? value.slice(0, start) + this.formatValue(text) + value.slice(end) : this.formatValue(text) || value;\n      } else if (end - start === value.length) {\n        return this.formatValue(text);\n      } else if (start === 0) {\n        return text + value.slice(end);\n      } else if (end === value.length) {\n        return value.slice(0, start) + text;\n      } else {\n        return value.slice(0, start) + text + value.slice(end);\n      }\n    },\n    deleteRange: function deleteRange(value, start, end) {\n      var newValueStr;\n      if (end - start === value.length) newValueStr = '';else if (start === 0) newValueStr = value.slice(end);else if (end === value.length) newValueStr = value.slice(0, start);else newValueStr = value.slice(0, start) + value.slice(end);\n      return newValueStr;\n    },\n    initCursor: function initCursor() {\n      var selectionStart = this.$refs.input.$el.selectionStart;\n      var inputValue = this.$refs.input.$el.value;\n      var valueLength = inputValue.length;\n      var index = null;\n\n      // remove prefix\n      var prefixLength = (this.prefixChar || '').length;\n      inputValue = inputValue.replace(this._prefix, '');\n      selectionStart = selectionStart - prefixLength;\n      var _char4 = inputValue.charAt(selectionStart);\n      if (this.isNumeralChar(_char4)) {\n        return selectionStart + prefixLength;\n      }\n\n      //left\n      var i = selectionStart - 1;\n      while (i >= 0) {\n        _char4 = inputValue.charAt(i);\n        if (this.isNumeralChar(_char4)) {\n          index = i + prefixLength;\n          break;\n        } else {\n          i--;\n        }\n      }\n      if (index !== null) {\n        this.$refs.input.$el.setSelectionRange(index + 1, index + 1);\n      } else {\n        i = selectionStart;\n        while (i < valueLength) {\n          _char4 = inputValue.charAt(i);\n          if (this.isNumeralChar(_char4)) {\n            index = i + prefixLength;\n            break;\n          } else {\n            i++;\n          }\n        }\n        if (index !== null) {\n          this.$refs.input.$el.setSelectionRange(index, index);\n        }\n      }\n      return index || 0;\n    },\n    onInputClick: function onInputClick() {\n      var currentValue = this.$refs.input.$el.value;\n      if (!this.readonly && currentValue !== getSelection()) {\n        this.initCursor();\n      }\n    },\n    isNumeralChar: function isNumeralChar(_char5) {\n      if (_char5.length === 1 && (this._numeral.test(_char5) || this._decimal.test(_char5) || this._group.test(_char5) || this._minusSign.test(_char5))) {\n        this.resetRegex();\n        return true;\n      }\n      return false;\n    },\n    resetRegex: function resetRegex() {\n      this._numeral.lastIndex = 0;\n      this._decimal.lastIndex = 0;\n      this._group.lastIndex = 0;\n      this._minusSign.lastIndex = 0;\n    },\n    updateValue: function updateValue(event, valueStr, insertedValueStr, operation) {\n      var currentValue = this.$refs.input.$el.value;\n      var newValue = null;\n      if (valueStr != null) {\n        newValue = this.parseValue(valueStr);\n        newValue = !newValue && !this.allowEmpty ? 0 : newValue;\n        this.updateInput(newValue, insertedValueStr, operation, valueStr);\n        this.handleOnInput(event, currentValue, newValue);\n      }\n    },\n    handleOnInput: function handleOnInput(event, currentValue, newValue) {\n      if (this.isValueChanged(currentValue, newValue)) {\n        this.$emit('input', {\n          originalEvent: event,\n          value: newValue,\n          formattedValue: currentValue\n        });\n      }\n    },\n    isValueChanged: function isValueChanged(currentValue, newValue) {\n      if (newValue === null && currentValue !== null) {\n        return true;\n      }\n      if (newValue != null) {\n        var parsedCurrentValue = typeof currentValue === 'string' ? this.parseValue(currentValue) : currentValue;\n        return newValue !== parsedCurrentValue;\n      }\n      return false;\n    },\n    validateValue: function validateValue(value) {\n      if (value === '-' || value == null) {\n        return null;\n      }\n      if (this.min != null && value < this.min) {\n        return this.min;\n      }\n      if (this.max != null && value > this.max) {\n        return this.max;\n      }\n      return value;\n    },\n    updateInput: function updateInput(value, insertedValueStr, operation, valueStr) {\n      insertedValueStr = insertedValueStr || '';\n      var inputValue = this.$refs.input.$el.value;\n      var newValue = this.formatValue(value);\n      var currentLength = inputValue.length;\n      if (newValue !== valueStr) {\n        newValue = this.concatValues(newValue, valueStr);\n      }\n      if (currentLength === 0) {\n        this.$refs.input.$el.value = newValue;\n        this.$refs.input.$el.setSelectionRange(0, 0);\n        var index = this.initCursor();\n        var selectionEnd = index + insertedValueStr.length;\n        this.$refs.input.$el.setSelectionRange(selectionEnd, selectionEnd);\n      } else {\n        var selectionStart = this.$refs.input.$el.selectionStart;\n        var _selectionEnd = this.$refs.input.$el.selectionEnd;\n        this.$refs.input.$el.value = newValue;\n        var newLength = newValue.length;\n        if (operation === 'range-insert') {\n          var startValue = this.parseValue((inputValue || '').slice(0, selectionStart));\n          var startValueStr = startValue !== null ? startValue.toString() : '';\n          var startExpr = startValueStr.split('').join(\"(\".concat(this.groupChar, \")?\"));\n          var sRegex = new RegExp(startExpr, 'g');\n          sRegex.test(newValue);\n          var tExpr = insertedValueStr.split('').join(\"(\".concat(this.groupChar, \")?\"));\n          var tRegex = new RegExp(tExpr, 'g');\n          tRegex.test(newValue.slice(sRegex.lastIndex));\n          _selectionEnd = sRegex.lastIndex + tRegex.lastIndex;\n          this.$refs.input.$el.setSelectionRange(_selectionEnd, _selectionEnd);\n        } else if (newLength === currentLength) {\n          if (operation === 'insert' || operation === 'delete-back-single') {\n            this.$refs.input.$el.setSelectionRange(_selectionEnd + 1, _selectionEnd + 1);\n          } else if (operation === 'delete-single') {\n            this.$refs.input.$el.setSelectionRange(_selectionEnd - 1, _selectionEnd - 1);\n          } else if (operation === 'delete-range' || operation === 'spin') {\n            this.$refs.input.$el.setSelectionRange(_selectionEnd, _selectionEnd);\n          }\n        } else if (operation === 'delete-back-single') {\n          var prevChar = inputValue.charAt(_selectionEnd - 1);\n          var nextChar = inputValue.charAt(_selectionEnd);\n          var diff = currentLength - newLength;\n          var isGroupChar = this._group.test(nextChar);\n          if (isGroupChar && diff === 1) {\n            _selectionEnd += 1;\n          } else if (!isGroupChar && this.isNumeralChar(prevChar)) {\n            _selectionEnd += -1 * diff + 1;\n          }\n          this._group.lastIndex = 0;\n          this.$refs.input.$el.setSelectionRange(_selectionEnd, _selectionEnd);\n        } else if (inputValue === '-' && operation === 'insert') {\n          this.$refs.input.$el.setSelectionRange(0, 0);\n          var _index = this.initCursor();\n          var _selectionEnd2 = _index + insertedValueStr.length + 1;\n          this.$refs.input.$el.setSelectionRange(_selectionEnd2, _selectionEnd2);\n        } else {\n          _selectionEnd = _selectionEnd + (newLength - currentLength);\n          this.$refs.input.$el.setSelectionRange(_selectionEnd, _selectionEnd);\n        }\n      }\n      this.$refs.input.$el.setAttribute('aria-valuenow', value);\n    },\n    concatValues: function concatValues(val1, val2) {\n      if (val1 && val2) {\n        var decimalCharIndex = val2.search(this._decimal);\n        this._decimal.lastIndex = 0;\n        if (this.suffixChar) {\n          return decimalCharIndex !== -1 ? val1.replace(this.suffixChar, '').split(this._decimal)[0] + val2.replace(this.suffixChar, '').slice(decimalCharIndex) + this.suffixChar : val1;\n        } else {\n          return decimalCharIndex !== -1 ? val1.split(this._decimal)[0] + val2.slice(decimalCharIndex) : val1;\n        }\n      }\n      return val1;\n    },\n    getDecimalLength: function getDecimalLength(value) {\n      if (value) {\n        var valueSplit = value.split(this._decimal);\n        if (valueSplit.length === 2) {\n          return valueSplit[1].replace(this._suffix, '').trim().replace(/\\s/g, '').replace(this._currency, '').length;\n        }\n      }\n      return 0;\n    },\n    updateModel: function updateModel(event, value) {\n      this.d_modelValue = value;\n      this.$emit('update:modelValue', value);\n    },\n    onInputFocus: function onInputFocus(event) {\n      this.focused = true;\n      if (!this.disabled && !this.readonly && this.$refs.input.$el.value !== getSelection() && this.highlightOnFocus) {\n        event.target.select();\n      }\n      this.$emit('focus', event);\n    },\n    onInputBlur: function onInputBlur(event) {\n      this.focused = false;\n      var input = event.target;\n      var newValue = this.validateValue(this.parseValue(input.value));\n      this.$emit('blur', {\n        originalEvent: event,\n        value: input.value\n      });\n      input.value = this.formatValue(newValue);\n      input.setAttribute('aria-valuenow', newValue);\n      this.updateModel(event, newValue);\n      if (!this.disabled && !this.readonly && this.highlightOnFocus) {\n        clearSelection();\n      }\n    },\n    clearTimer: function clearTimer() {\n      if (this.timer) {\n        clearInterval(this.timer);\n      }\n    },\n    maxBoundry: function maxBoundry() {\n      return this.d_modelValue >= this.max;\n    },\n    minBoundry: function minBoundry() {\n      return this.d_modelValue <= this.min;\n    }\n  },\n  computed: {\n    filled: function filled() {\n      return this.modelValue != null && this.modelValue.toString().length > 0;\n    },\n    upButtonListeners: function upButtonListeners() {\n      var _this2 = this;\n      return {\n        mousedown: function mousedown(event) {\n          return _this2.onUpButtonMouseDown(event);\n        },\n        mouseup: function mouseup(event) {\n          return _this2.onUpButtonMouseUp(event);\n        },\n        mouseleave: function mouseleave(event) {\n          return _this2.onUpButtonMouseLeave(event);\n        },\n        keydown: function keydown(event) {\n          return _this2.onUpButtonKeyDown(event);\n        },\n        keyup: function keyup(event) {\n          return _this2.onUpButtonKeyUp(event);\n        }\n      };\n    },\n    downButtonListeners: function downButtonListeners() {\n      var _this3 = this;\n      return {\n        mousedown: function mousedown(event) {\n          return _this3.onDownButtonMouseDown(event);\n        },\n        mouseup: function mouseup(event) {\n          return _this3.onDownButtonMouseUp(event);\n        },\n        mouseleave: function mouseleave(event) {\n          return _this3.onDownButtonMouseLeave(event);\n        },\n        keydown: function keydown(event) {\n          return _this3.onDownButtonKeyDown(event);\n        },\n        keyup: function keyup(event) {\n          return _this3.onDownButtonKeyUp(event);\n        }\n      };\n    },\n    formattedValue: function formattedValue() {\n      var val = !this.modelValue && !this.allowEmpty ? 0 : this.modelValue;\n      return this.formatValue(val);\n    },\n    getFormatter: function getFormatter() {\n      return this.numberFormat;\n    }\n  },\n  components: {\n    InputText: InputText,\n    AngleUpIcon: AngleUpIcon,\n    AngleDownIcon: AngleDownIcon\n  }\n};\n\nvar _hoisted_1 = [\"disabled\"];\nvar _hoisted_2 = [\"disabled\"];\nvar _hoisted_3 = [\"disabled\"];\nvar _hoisted_4 = [\"disabled\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_InputText = resolveComponent(\"InputText\");\n  return openBlock(), createElementBlock(\"span\", mergeProps({\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root')), [createVNode(_component_InputText, {\n    ref: \"input\",\n    id: _ctx.inputId,\n    role: \"spinbutton\",\n    \"class\": normalizeClass([_ctx.cx('pcInput'), _ctx.inputClass]),\n    style: normalizeStyle(_ctx.inputStyle),\n    value: $options.formattedValue,\n    \"aria-valuemin\": _ctx.min,\n    \"aria-valuemax\": _ctx.max,\n    \"aria-valuenow\": _ctx.modelValue,\n    inputmode: _ctx.mode === 'decimal' && !_ctx.minFractionDigits ? 'numeric' : 'decimal',\n    disabled: _ctx.disabled,\n    readonly: _ctx.readonly,\n    placeholder: _ctx.placeholder,\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-label\": _ctx.ariaLabel,\n    invalid: _ctx.invalid,\n    variant: _ctx.variant,\n    onInput: $options.onUserInput,\n    onKeydown: $options.onInputKeyDown,\n    onKeypress: $options.onInputKeyPress,\n    onPaste: $options.onPaste,\n    onClick: $options.onInputClick,\n    onFocus: $options.onInputFocus,\n    onBlur: $options.onInputBlur,\n    pt: _ctx.ptm('pcInput'),\n    unstyled: _ctx.unstyled\n  }, null, 8, [\"id\", \"class\", \"style\", \"value\", \"aria-valuemin\", \"aria-valuemax\", \"aria-valuenow\", \"inputmode\", \"disabled\", \"readonly\", \"placeholder\", \"aria-labelledby\", \"aria-label\", \"invalid\", \"variant\", \"onInput\", \"onKeydown\", \"onKeypress\", \"onPaste\", \"onClick\", \"onFocus\", \"onBlur\", \"pt\", \"unstyled\"]), _ctx.showButtons && _ctx.buttonLayout === 'stacked' ? (openBlock(), createElementBlock(\"span\", mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('buttonGroup')\n  }, _ctx.ptm('buttonGroup')), [renderSlot(_ctx.$slots, \"incrementbutton\", {\n    listeners: $options.upButtonListeners\n  }, function () {\n    return [createElementVNode(\"button\", mergeProps({\n      \"class\": [_ctx.cx('incrementButton'), _ctx.incrementButtonClass]\n    }, toHandlers($options.upButtonListeners, true), {\n      disabled: _ctx.disabled,\n      tabindex: -1,\n      \"aria-hidden\": \"true\",\n      type: \"button\"\n    }, _ctx.ptm('incrementButton')), [renderSlot(_ctx.$slots, _ctx.$slots.incrementicon ? 'incrementicon' : 'incrementbuttonicon', {}, function () {\n      return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.incrementIcon || _ctx.incrementButtonIcon ? 'span' : 'AngleUpIcon'), mergeProps({\n        \"class\": [_ctx.incrementIcon, _ctx.incrementButtonIcon]\n      }, _ctx.ptm('incrementIcon'), {\n        \"data-pc-section\": \"incrementicon\"\n      }), null, 16, [\"class\"]))];\n    })], 16, _hoisted_1)];\n  }), renderSlot(_ctx.$slots, \"decrementbutton\", {\n    listeners: $options.downButtonListeners\n  }, function () {\n    return [createElementVNode(\"button\", mergeProps({\n      \"class\": [_ctx.cx('decrementButton'), _ctx.decrementButtonClass]\n    }, toHandlers($options.downButtonListeners, true), {\n      disabled: _ctx.disabled,\n      tabindex: -1,\n      \"aria-hidden\": \"true\",\n      type: \"button\"\n    }, _ctx.ptm('decrementButton')), [renderSlot(_ctx.$slots, _ctx.$slots.decrementicon ? 'decrementicon' : 'decrementbuttonicon', {}, function () {\n      return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.decrementIcon || _ctx.decrementButtonIcon ? 'span' : 'AngleDownIcon'), mergeProps({\n        \"class\": [_ctx.decrementIcon, _ctx.decrementButtonIcon]\n      }, _ctx.ptm('decrementIcon'), {\n        \"data-pc-section\": \"decrementicon\"\n      }), null, 16, [\"class\"]))];\n    })], 16, _hoisted_2)];\n  })], 16)) : createCommentVNode(\"\", true), renderSlot(_ctx.$slots, \"incrementbutton\", {\n    listeners: $options.upButtonListeners\n  }, function () {\n    return [_ctx.showButtons && _ctx.buttonLayout !== 'stacked' ? (openBlock(), createElementBlock(\"button\", mergeProps({\n      key: 0,\n      \"class\": [_ctx.cx('incrementButton'), _ctx.incrementButtonClass]\n    }, toHandlers($options.upButtonListeners, true), {\n      disabled: _ctx.disabled,\n      tabindex: -1,\n      \"aria-hidden\": \"true\",\n      type: \"button\"\n    }, _ctx.ptm('incrementButton')), [renderSlot(_ctx.$slots, _ctx.$slots.incrementicon ? 'incrementicon' : 'incrementbuttonicon', {}, function () {\n      return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.incrementIcon || _ctx.incrementButtonIcon ? 'span' : 'AngleUpIcon'), mergeProps({\n        \"class\": [_ctx.incrementIcon, _ctx.incrementButtonIcon]\n      }, _ctx.ptm('incrementIcon'), {\n        \"data-pc-section\": \"incrementicon\"\n      }), null, 16, [\"class\"]))];\n    })], 16, _hoisted_3)) : createCommentVNode(\"\", true)];\n  }), renderSlot(_ctx.$slots, \"decrementbutton\", {\n    listeners: $options.downButtonListeners\n  }, function () {\n    return [_ctx.showButtons && _ctx.buttonLayout !== 'stacked' ? (openBlock(), createElementBlock(\"button\", mergeProps({\n      key: 0,\n      \"class\": [_ctx.cx('decrementButton'), _ctx.decrementButtonClass]\n    }, toHandlers($options.downButtonListeners, true), {\n      disabled: _ctx.disabled,\n      tabindex: -1,\n      \"aria-hidden\": \"true\",\n      type: \"button\"\n    }, _ctx.ptm('decrementButton')), [renderSlot(_ctx.$slots, _ctx.$slots.decrementicon ? 'decrementicon' : 'decrementbuttonicon', {}, function () {\n      return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.decrementIcon || _ctx.decrementButtonIcon ? 'span' : 'AngleDownIcon'), mergeProps({\n        \"class\": [_ctx.decrementIcon, _ctx.decrementButtonIcon]\n      }, _ctx.ptm('decrementIcon'), {\n        \"data-pc-section\": \"decrementicon\"\n      }), null, 16, [\"class\"]))];\n    })], 16, _hoisted_4)) : createCommentVNode(\"\", true)];\n  })], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'ChevronDownIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M7.01744 10.398C6.91269 10.3985 6.8089 10.378 6.71215 10.3379C6.61541 10.2977 6.52766 10.2386 6.45405 10.1641L1.13907 4.84913C1.03306 4.69404 0.985221 4.5065 1.00399 4.31958C1.02276 4.13266 1.10693 3.95838 1.24166 3.82747C1.37639 3.69655 1.55301 3.61742 1.74039 3.60402C1.92777 3.59062 2.11386 3.64382 2.26584 3.75424L7.01744 8.47394L11.769 3.75424C11.9189 3.65709 12.097 3.61306 12.2748 3.62921C12.4527 3.64535 12.6199 3.72073 12.7498 3.84328C12.8797 3.96582 12.9647 4.12842 12.9912 4.30502C13.0177 4.48162 12.9841 4.662 12.8958 4.81724L7.58083 10.1322C7.50996 10.2125 7.42344 10.2775 7.32656 10.3232C7.22968 10.3689 7.12449 10.3944 7.01744 10.398Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'TimesIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M8.01186 7.00933L12.27 2.75116C12.341 2.68501 12.398 2.60524 12.4375 2.51661C12.4769 2.42798 12.4982 2.3323 12.4999 2.23529C12.5016 2.13827 12.4838 2.0419 12.4474 1.95194C12.4111 1.86197 12.357 1.78024 12.2884 1.71163C12.2198 1.64302 12.138 1.58893 12.0481 1.55259C11.9581 1.51625 11.8617 1.4984 11.7647 1.50011C11.6677 1.50182 11.572 1.52306 11.4834 1.56255C11.3948 1.60204 11.315 1.65898 11.2488 1.72997L6.99067 5.98814L2.7325 1.72997C2.59553 1.60234 2.41437 1.53286 2.22718 1.53616C2.03999 1.53946 1.8614 1.61529 1.72901 1.74767C1.59663 1.88006 1.5208 2.05865 1.5175 2.24584C1.5142 2.43303 1.58368 2.61419 1.71131 2.75116L5.96948 7.00933L1.71131 11.2675C1.576 11.403 1.5 11.5866 1.5 11.7781C1.5 11.9696 1.576 12.1532 1.71131 12.2887C1.84679 12.424 2.03043 12.5 2.2219 12.5C2.41338 12.5 2.59702 12.424 2.7325 12.2887L6.99067 8.03052L11.2488 12.2887C11.3843 12.424 11.568 12.5 11.7594 12.5C11.9509 12.5 12.1346 12.424 12.27 12.2887C12.4053 12.1532 12.4813 11.9696 12.4813 11.7781C12.4813 11.5866 12.4053 11.403 12.27 11.2675L8.01186 7.00933Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import { EventBus } from '@primeuix/utils/eventbus';\n\nvar OverlayEventBus = EventBus();\n\nexport { OverlayEventBus as default };\n//# sourceMappingURL=index.mjs.map\n","import { isClient } from '@primeuix/utils/dom';\nimport { renderSlot, openBlock, createBlock, Teleport, createCommentVNode } from 'vue';\n\nvar script = {\n  name: 'Portal',\n  props: {\n    appendTo: {\n      type: [String, Object],\n      \"default\": 'body'\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    }\n  },\n  data: function data() {\n    return {\n      mounted: false\n    };\n  },\n  mounted: function mounted() {\n    this.mounted = isClient();\n  },\n  computed: {\n    inline: function inline() {\n      return this.disabled || this.appendTo === 'self';\n    }\n  }\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return $options.inline ? renderSlot(_ctx.$slots, \"default\", {\n    key: 0\n  }) : $data.mounted ? (openBlock(), createBlock(Teleport, {\n    key: 1,\n    to: $props.appendTo\n  }, [renderSlot(_ctx.$slots, \"default\")], 8, [\"to\"])) : createCommentVNode(\"\", true);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-select {\\n    display: inline-flex;\\n    cursor: pointer;\\n    position: relative;\\n    user-select: none;\\n    background: \".concat(dt('select.background'), \";\\n    border: 1px solid \").concat(dt('select.border.color'), \";\\n    transition: background \").concat(dt('select.transition.duration'), \", color \").concat(dt('select.transition.duration'), \", border-color \").concat(dt('select.transition.duration'), \",\\n        outline-color \").concat(dt('select.transition.duration'), \", box-shadow \").concat(dt('select.transition.duration'), \";\\n    border-radius: \").concat(dt('select.border.radius'), \";\\n    outline-color: transparent;\\n    box-shadow: \").concat(dt('select.shadow'), \";\\n}\\n\\n.p-select:not(.p-disabled):hover {\\n    border-color: \").concat(dt('select.hover.border.color'), \";\\n}\\n\\n.p-select:not(.p-disabled).p-focus {\\n    border-color: \").concat(dt('select.focus.border.color'), \";\\n    box-shadow: \").concat(dt('select.focus.ring.shadow'), \";\\n    outline: \").concat(dt('select.focus.ring.width'), \" \").concat(dt('select.focus.ring.style'), \" \").concat(dt('select.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('select.focus.ring.offset'), \";\\n}\\n\\n.p-select.p-variant-filled {\\n    background: \").concat(dt('select.filled.background'), \";\\n}\\n\\n.p-select.p-variant-filled.p-focus {\\n    background: \").concat(dt('select.filled.focus.background'), \";\\n}\\n\\n.p-select.p-invalid {\\n    border-color: \").concat(dt('select.invalid.border.color'), \";\\n}\\n\\n.p-select.p-disabled {\\n    opacity: 1;\\n    background: \").concat(dt('select.disabled.background'), \";\\n}\\n\\n.p-select-clear-icon {\\n    position: absolute;\\n    top: 50%;\\n    margin-top: -0.5rem;\\n    color: \").concat(dt('select.clear.icon.color'), \";\\n    right: \").concat(dt('select.dropdown.width'), \";\\n}\\n\\n.p-select-dropdown {\\n    display: flex;\\n    align-items: center;\\n    justify-content: center;\\n    flex-shrink: 0;\\n    background: transparent;\\n    color: \").concat(dt('select.dropdown.color'), \";\\n    width: \").concat(dt('select.dropdown.width'), \";\\n    border-top-right-radius: \").concat(dt('select.border.radius'), \";\\n    border-bottom-right-radius: \").concat(dt('select.border.radius'), \";\\n}\\n\\n.p-select-label {\\n    display: block;\\n    white-space: nowrap;\\n    overflow: hidden;\\n    flex: 1 1 auto;\\n    width: 1%;\\n    padding: \").concat(dt('select.padding.y'), \" \").concat(dt('select.padding.x'), \";\\n    text-overflow: ellipsis;\\n    cursor: pointer;\\n    color: \").concat(dt('select.color'), \";\\n    background: transparent;\\n    border: 0 none;\\n    outline: 0 none;\\n}\\n\\n.p-select-label.p-placeholder {\\n    color: \").concat(dt('select.placeholder.color'), \";\\n}\\n\\n.p-select:has(.p-select-clear-icon) .p-select-label {\\n    padding-right: calc(1rem + \").concat(dt('select.padding.x'), \");\\n}\\n\\n.p-select.p-disabled .p-select-label {\\n    color: \").concat(dt('select.disabled.color'), \";\\n}\\n\\n.p-select-label-empty {\\n    overflow: hidden;\\n    opacity: 0;\\n}\\n\\ninput.p-select-label {\\n    cursor: default;\\n}\\n\\n.p-select .p-select-overlay {\\n    min-width: 100%;\\n}\\n\\n.p-select-overlay {\\n    position: absolute;\\n    top: 0;\\n    left: 0;\\n    background: \").concat(dt('select.overlay.background'), \";\\n    color: \").concat(dt('select.overlay.color'), \";\\n    border: 1px solid \").concat(dt('select.overlay.border.color'), \";\\n    border-radius: \").concat(dt('select.overlay.border.radius'), \";\\n    box-shadow: \").concat(dt('select.overlay.shadow'), \";\\n}\\n\\n.p-select-header {\\n    padding: \").concat(dt('select.list.header.padding'), \";\\n}\\n\\n.p-select-filter {\\n    width: 100%;\\n}\\n\\n.p-select-list-container {\\n    overflow: auto;\\n}\\n\\n.p-select-option-group {\\n    cursor: auto;\\n    margin: 0;\\n    padding: \").concat(dt('select.option.group.padding'), \";\\n    background: \").concat(dt('select.option.group.background'), \";\\n    color: \").concat(dt('select.option.group.color'), \";\\n    font-weight: \").concat(dt('select.option.group.font.weight'), \";\\n}\\n\\n.p-select-list {\\n    margin: 0;\\n    padding: 0;\\n    list-style-type: none;\\n    padding: \").concat(dt('select.list.padding'), \";\\n    gap: \").concat(dt('select.list.gap'), \";\\n    display: flex;\\n    flex-direction: column;\\n}\\n\\n.p-select-option {\\n    cursor: pointer;\\n    font-weight: normal;\\n    white-space: nowrap;\\n    position: relative;\\n    overflow: hidden;\\n    display: flex;\\n    align-items: center;\\n    padding: \").concat(dt('select.option.padding'), \";\\n    border: 0 none;\\n    color: \").concat(dt('select.option.color'), \";\\n    background: transparent;\\n    transition: background \").concat(dt('select.transition.duration'), \", color \").concat(dt('select.transition.duration'), \", border-color \").concat(dt('select.transition.duration'), \",\\n            box-shadow \").concat(dt('select.transition.duration'), \", outline-color \").concat(dt('select.transition.duration'), \";\\n    border-radius: \").concat(dt('select.option.border.radius'), \";\\n}\\n\\n.p-select-option:not(.p-select-option-selected):not(.p-disabled).p-focus {\\n    background: \").concat(dt('select.option.focus.background'), \";\\n    color: \").concat(dt('select.option.focus.color'), \";\\n}\\n\\n.p-select-option.p-select-option-selected {\\n    background: \").concat(dt('select.option.selected.background'), \";\\n    color: \").concat(dt('select.option.selected.color'), \";\\n}\\n\\n.p-select-option.p-select-option-selected.p-focus {\\n    background: \").concat(dt('select.option.selected.focus.background'), \";\\n    color: \").concat(dt('select.option.selected.focus.color'), \";\\n}\\n\\n.p-select-option-check-icon {\\n    position: relative;\\n    margin-inline-start: \").concat(dt('select.checkmark.gutter.start'), \";\\n    margin-inline-end: \").concat(dt('select.checkmark.gutter.end'), \";\\n    color: \").concat(dt('select.checkmark.color'), \";\\n}\\n\\n.p-select-empty-message {\\n    padding: \").concat(dt('select.empty.message.padding'), \";\\n}\\n\\n.p-select-fluid {\\n    display: flex;\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var instance = _ref2.instance,\n      props = _ref2.props,\n      state = _ref2.state;\n    return ['p-select p-component p-inputwrapper', {\n      'p-disabled': props.disabled,\n      'p-invalid': props.invalid,\n      'p-variant-filled': props.variant ? props.variant === 'filled' : instance.$primevue.config.inputStyle === 'filled' || instance.$primevue.config.inputVariant === 'filled',\n      'p-focus': state.focused,\n      'p-inputwrapper-filled': instance.hasSelectedOption,\n      'p-inputwrapper-focus': state.focused || state.overlayVisible,\n      'p-select-open': state.overlayVisible,\n      'p-select-fluid': props.fluid\n    }];\n  },\n  label: function label(_ref3) {\n    var instance = _ref3.instance,\n      props = _ref3.props;\n    return ['p-select-label', {\n      'p-placeholder': !props.editable && instance.label === props.placeholder,\n      'p-select-label-empty': !props.editable && !instance.$slots['value'] && (instance.label === 'p-emptylabel' || instance.label.length === 0)\n    }];\n  },\n  clearIcon: 'p-select-clear-icon',\n  dropdown: 'p-select-dropdown',\n  loadingicon: 'p-select-loading-icon',\n  dropdownIcon: 'p-select-dropdown-icon',\n  overlay: 'p-select-overlay p-component',\n  header: 'p-select-header',\n  pcFilter: 'p-select-filter',\n  listContainer: 'p-select-list-container',\n  list: 'p-select-list',\n  optionGroup: 'p-select-option-group',\n  optionGroupLabel: 'p-select-option-group-label',\n  option: function option(_ref4) {\n    var instance = _ref4.instance,\n      props = _ref4.props,\n      state = _ref4.state,\n      _option = _ref4.option,\n      focusedOption = _ref4.focusedOption;\n    return ['p-select-option', {\n      'p-select-option-selected': instance.isSelected(_option) && props.highlightOnSelect,\n      'p-focus': state.focusedOptionIndex === focusedOption,\n      'p-disabled': instance.isOptionDisabled(_option)\n    }];\n  },\n  optionLabel: 'p-select-option-label',\n  optionCheckIcon: 'p-select-option-check-icon',\n  optionBlankIcon: 'p-select-option-blank-icon',\n  emptyMessage: 'p-select-empty-message'\n};\nvar SelectStyle = BaseStyle.extend({\n  name: 'select',\n  theme: theme,\n  classes: classes\n});\n\nexport { SelectStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { FilterService } from '@primevue/core/api';\nimport { UniqueComponentId, ConnectedOverlayScrollHandler } from '@primevue/core/utils';\nimport { focus, isAndroid, getFirstFocusableElement, getLastFocusableElement, addStyle, relativePosition, getOuterWidth, absolutePosition, isTouchDevice, isVisible, getFocusableElements, findSingle } from '@primeuix/utils/dom';\nimport { resolveFieldData, isPrintableCharacter, isNotEmpty, equals, findLastIndex } from '@primeuix/utils/object';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport BlankIcon from '@primevue/icons/blank';\nimport CheckIcon from '@primevue/icons/check';\nimport ChevronDownIcon from '@primevue/icons/chevrondown';\nimport SearchIcon from '@primevue/icons/search';\nimport SpinnerIcon from '@primevue/icons/spinner';\nimport TimesIcon from '@primevue/icons/times';\nimport IconField from 'primevue/iconfield';\nimport InputIcon from 'primevue/inputicon';\nimport InputText from 'primevue/inputtext';\nimport OverlayEventBus from 'primevue/overlayeventbus';\nimport Portal from 'primevue/portal';\nimport Ripple from 'primevue/ripple';\nimport VirtualScroller from 'primevue/virtualscroller';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport SelectStyle from 'primevue/select/style';\nimport { resolveComponent, resolveDirective, openBlock, createElementBlock, mergeProps, renderSlot, createTextVNode, toDisplayString, normalizeClass, createBlock, resolveDynamicComponent, createCommentVNode, createElementVNode, createVNode, withCtx, Transition, normalizeProps, createSlots, Fragment, renderList, withDirectives } from 'vue';\n\nvar script$1 = {\n  name: 'BaseSelect',\n  \"extends\": BaseComponent,\n  props: {\n    modelValue: null,\n    options: Array,\n    optionLabel: [String, Function],\n    optionValue: [String, Function],\n    optionDisabled: [String, Function],\n    optionGroupLabel: [String, Function],\n    optionGroupChildren: [String, Function],\n    scrollHeight: {\n      type: String,\n      \"default\": '14rem'\n    },\n    filter: Boolean,\n    filterPlaceholder: String,\n    filterLocale: String,\n    filterMatchMode: {\n      type: String,\n      \"default\": 'contains'\n    },\n    filterFields: {\n      type: Array,\n      \"default\": null\n    },\n    editable: Boolean,\n    placeholder: {\n      type: String,\n      \"default\": null\n    },\n    variant: {\n      type: String,\n      \"default\": null\n    },\n    invalid: {\n      type: Boolean,\n      \"default\": false\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    dataKey: null,\n    showClear: {\n      type: Boolean,\n      \"default\": false\n    },\n    fluid: {\n      type: Boolean,\n      \"default\": false\n    },\n    inputId: {\n      type: String,\n      \"default\": null\n    },\n    inputClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    inputStyle: {\n      type: Object,\n      \"default\": null\n    },\n    labelId: {\n      type: String,\n      \"default\": null\n    },\n    labelClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    labelStyle: {\n      type: Object,\n      \"default\": null\n    },\n    panelClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    overlayStyle: {\n      type: Object,\n      \"default\": null\n    },\n    overlayClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    panelStyle: {\n      type: Object,\n      \"default\": null\n    },\n    appendTo: {\n      type: [String, Object],\n      \"default\": 'body'\n    },\n    loading: {\n      type: Boolean,\n      \"default\": false\n    },\n    clearIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    dropdownIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    filterIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    loadingIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    resetFilterOnHide: {\n      type: Boolean,\n      \"default\": false\n    },\n    resetFilterOnClear: {\n      type: Boolean,\n      \"default\": false\n    },\n    virtualScrollerOptions: {\n      type: Object,\n      \"default\": null\n    },\n    autoOptionFocus: {\n      type: Boolean,\n      \"default\": false\n    },\n    autoFilterFocus: {\n      type: Boolean,\n      \"default\": false\n    },\n    selectOnFocus: {\n      type: Boolean,\n      \"default\": false\n    },\n    focusOnHover: {\n      type: Boolean,\n      \"default\": true\n    },\n    highlightOnSelect: {\n      type: Boolean,\n      \"default\": true\n    },\n    checkmark: {\n      type: Boolean,\n      \"default\": false\n    },\n    filterMessage: {\n      type: String,\n      \"default\": null\n    },\n    selectionMessage: {\n      type: String,\n      \"default\": null\n    },\n    emptySelectionMessage: {\n      type: String,\n      \"default\": null\n    },\n    emptyFilterMessage: {\n      type: String,\n      \"default\": null\n    },\n    emptyMessage: {\n      type: String,\n      \"default\": null\n    },\n    tabindex: {\n      type: Number,\n      \"default\": 0\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    },\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: SelectStyle,\n  provide: function provide() {\n    return {\n      $pcSelect: this,\n      $parentInstance: this\n    };\n  }\n};\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar script = {\n  name: 'Select',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue', 'change', 'focus', 'blur', 'before-show', 'before-hide', 'show', 'hide', 'filter'],\n  outsideClickListener: null,\n  scrollHandler: null,\n  resizeListener: null,\n  labelClickListener: null,\n  overlay: null,\n  list: null,\n  virtualScroller: null,\n  searchTimeout: null,\n  searchValue: null,\n  isModelValueChanged: false,\n  data: function data() {\n    return {\n      id: this.$attrs.id,\n      clicked: false,\n      focused: false,\n      focusedOptionIndex: -1,\n      filterValue: null,\n      overlayVisible: false\n    };\n  },\n  watch: {\n    '$attrs.id': function $attrsId(newValue) {\n      this.id = newValue || UniqueComponentId();\n    },\n    modelValue: function modelValue() {\n      this.isModelValueChanged = true;\n    },\n    options: function options() {\n      this.autoUpdateModel();\n    }\n  },\n  mounted: function mounted() {\n    this.id = this.id || UniqueComponentId();\n    this.autoUpdateModel();\n    this.bindLabelClickListener();\n  },\n  updated: function updated() {\n    if (this.overlayVisible && this.isModelValueChanged) {\n      this.scrollInView(this.findSelectedOptionIndex());\n    }\n    this.isModelValueChanged = false;\n  },\n  beforeUnmount: function beforeUnmount() {\n    this.unbindOutsideClickListener();\n    this.unbindResizeListener();\n    this.unbindLabelClickListener();\n    if (this.scrollHandler) {\n      this.scrollHandler.destroy();\n      this.scrollHandler = null;\n    }\n    if (this.overlay) {\n      ZIndex.clear(this.overlay);\n      this.overlay = null;\n    }\n  },\n  methods: {\n    getOptionIndex: function getOptionIndex(index, fn) {\n      return this.virtualScrollerDisabled ? index : fn && fn(index)['index'];\n    },\n    getOptionLabel: function getOptionLabel(option) {\n      return this.optionLabel ? resolveFieldData(option, this.optionLabel) : option;\n    },\n    getOptionValue: function getOptionValue(option) {\n      return this.optionValue ? resolveFieldData(option, this.optionValue) : option;\n    },\n    getOptionRenderKey: function getOptionRenderKey(option, index) {\n      return (this.dataKey ? resolveFieldData(option, this.dataKey) : this.getOptionLabel(option)) + '_' + index;\n    },\n    getPTItemOptions: function getPTItemOptions(option, itemOptions, index, key) {\n      return this.ptm(key, {\n        context: {\n          option: option,\n          index: index,\n          selected: this.isSelected(option),\n          focused: this.focusedOptionIndex === this.getOptionIndex(index, itemOptions),\n          disabled: this.isOptionDisabled(option)\n        }\n      });\n    },\n    isOptionDisabled: function isOptionDisabled(option) {\n      return this.optionDisabled ? resolveFieldData(option, this.optionDisabled) : false;\n    },\n    isOptionGroup: function isOptionGroup(option) {\n      return this.optionGroupLabel && option.optionGroup && option.group;\n    },\n    getOptionGroupLabel: function getOptionGroupLabel(optionGroup) {\n      return resolveFieldData(optionGroup, this.optionGroupLabel);\n    },\n    getOptionGroupChildren: function getOptionGroupChildren(optionGroup) {\n      return resolveFieldData(optionGroup, this.optionGroupChildren);\n    },\n    getAriaPosInset: function getAriaPosInset(index) {\n      var _this = this;\n      return (this.optionGroupLabel ? index - this.visibleOptions.slice(0, index).filter(function (option) {\n        return _this.isOptionGroup(option);\n      }).length : index) + 1;\n    },\n    show: function show(isFocus) {\n      this.$emit('before-show');\n      this.overlayVisible = true;\n      this.focusedOptionIndex = this.focusedOptionIndex !== -1 ? this.focusedOptionIndex : this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : this.editable ? -1 : this.findSelectedOptionIndex();\n      isFocus && focus(this.$refs.focusInput);\n    },\n    hide: function hide(isFocus) {\n      var _this2 = this;\n      var _hide = function _hide() {\n        _this2.$emit('before-hide');\n        _this2.overlayVisible = false;\n        _this2.clicked = false;\n        _this2.focusedOptionIndex = -1;\n        _this2.searchValue = '';\n        _this2.resetFilterOnHide && (_this2.filterValue = null);\n        isFocus && focus(_this2.$refs.focusInput);\n      };\n      setTimeout(function () {\n        _hide();\n      }, 0); // For ScreenReaders\n    },\n    onFocus: function onFocus(event) {\n      if (this.disabled) {\n        // For ScreenReaders\n        return;\n      }\n      this.focused = true;\n      if (this.overlayVisible) {\n        this.focusedOptionIndex = this.focusedOptionIndex !== -1 ? this.focusedOptionIndex : this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : this.editable ? -1 : this.findSelectedOptionIndex();\n        this.scrollInView(this.focusedOptionIndex);\n      }\n      this.$emit('focus', event);\n    },\n    onBlur: function onBlur(event) {\n      this.focused = false;\n      this.focusedOptionIndex = -1;\n      this.searchValue = '';\n      this.$emit('blur', event);\n    },\n    onKeyDown: function onKeyDown(event) {\n      if (this.disabled || isAndroid()) {\n        event.preventDefault();\n        return;\n      }\n      var metaKey = event.metaKey || event.ctrlKey;\n      switch (event.code) {\n        case 'ArrowDown':\n          this.onArrowDownKey(event);\n          break;\n        case 'ArrowUp':\n          this.onArrowUpKey(event, this.editable);\n          break;\n        case 'ArrowLeft':\n        case 'ArrowRight':\n          this.onArrowLeftKey(event, this.editable);\n          break;\n        case 'Home':\n          this.onHomeKey(event, this.editable);\n          break;\n        case 'End':\n          this.onEndKey(event, this.editable);\n          break;\n        case 'PageDown':\n          this.onPageDownKey(event);\n          break;\n        case 'PageUp':\n          this.onPageUpKey(event);\n          break;\n        case 'Space':\n          this.onSpaceKey(event, this.editable);\n          break;\n        case 'Enter':\n        case 'NumpadEnter':\n          this.onEnterKey(event);\n          break;\n        case 'Escape':\n          this.onEscapeKey(event);\n          break;\n        case 'Tab':\n          this.onTabKey(event);\n          break;\n        case 'Backspace':\n          this.onBackspaceKey(event, this.editable);\n          break;\n        case 'ShiftLeft':\n        case 'ShiftRight':\n          //NOOP\n          break;\n        default:\n          if (!metaKey && isPrintableCharacter(event.key)) {\n            !this.overlayVisible && this.show();\n            !this.editable && this.searchOptions(event, event.key);\n          }\n          break;\n      }\n      this.clicked = false;\n    },\n    onEditableInput: function onEditableInput(event) {\n      var value = event.target.value;\n      this.searchValue = '';\n      var matched = this.searchOptions(event, value);\n      !matched && (this.focusedOptionIndex = -1);\n      this.updateModel(event, value);\n      !this.overlayVisible && isNotEmpty(value) && this.show();\n    },\n    onContainerClick: function onContainerClick(event) {\n      if (this.disabled || this.loading) {\n        return;\n      }\n      if (event.target.tagName === 'INPUT' || event.target.getAttribute('data-pc-section') === 'clearicon' || event.target.closest('[data-pc-section=\"clearicon\"]')) {\n        return;\n      } else if (!this.overlay || !this.overlay.contains(event.target)) {\n        this.overlayVisible ? this.hide(true) : this.show(true);\n      }\n      this.clicked = true;\n    },\n    onClearClick: function onClearClick(event) {\n      this.updateModel(event, null);\n      this.resetFilterOnClear && (this.filterValue = null);\n    },\n    onFirstHiddenFocus: function onFirstHiddenFocus(event) {\n      var focusableEl = event.relatedTarget === this.$refs.focusInput ? getFirstFocusableElement(this.overlay, ':not([data-p-hidden-focusable=\"true\"])') : this.$refs.focusInput;\n      focus(focusableEl);\n    },\n    onLastHiddenFocus: function onLastHiddenFocus(event) {\n      var focusableEl = event.relatedTarget === this.$refs.focusInput ? getLastFocusableElement(this.overlay, ':not([data-p-hidden-focusable=\"true\"])') : this.$refs.focusInput;\n      focus(focusableEl);\n    },\n    onOptionSelect: function onOptionSelect(event, option) {\n      var isHide = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : true;\n      var value = this.getOptionValue(option);\n      this.updateModel(event, value);\n      isHide && this.hide(true);\n    },\n    onOptionMouseMove: function onOptionMouseMove(event, index) {\n      if (this.focusOnHover) {\n        this.changeFocusedOptionIndex(event, index);\n      }\n    },\n    onFilterChange: function onFilterChange(event) {\n      var value = event.target.value;\n      this.filterValue = value;\n      this.focusedOptionIndex = -1;\n      this.$emit('filter', {\n        originalEvent: event,\n        value: value\n      });\n      !this.virtualScrollerDisabled && this.virtualScroller.scrollToIndex(0);\n    },\n    onFilterKeyDown: function onFilterKeyDown(event) {\n      switch (event.code) {\n        case 'ArrowDown':\n          this.onArrowDownKey(event);\n          break;\n        case 'ArrowUp':\n          this.onArrowUpKey(event, true);\n          break;\n        case 'ArrowLeft':\n        case 'ArrowRight':\n          this.onArrowLeftKey(event, true);\n          break;\n        case 'Home':\n          this.onHomeKey(event, true);\n          break;\n        case 'End':\n          this.onEndKey(event, true);\n          break;\n        case 'Enter':\n        case 'NumpadEnter':\n          this.onEnterKey(event);\n          break;\n        case 'Escape':\n          this.onEscapeKey(event);\n          break;\n        case 'Tab':\n          this.onTabKey(event, true);\n          break;\n      }\n    },\n    onFilterBlur: function onFilterBlur() {\n      this.focusedOptionIndex = -1;\n    },\n    onFilterUpdated: function onFilterUpdated() {\n      if (this.overlayVisible) {\n        this.alignOverlay();\n      }\n    },\n    onOverlayClick: function onOverlayClick(event) {\n      OverlayEventBus.emit('overlay-click', {\n        originalEvent: event,\n        target: this.$el\n      });\n    },\n    onOverlayKeyDown: function onOverlayKeyDown(event) {\n      switch (event.code) {\n        case 'Escape':\n          this.onEscapeKey(event);\n          break;\n      }\n    },\n    onArrowDownKey: function onArrowDownKey(event) {\n      if (!this.overlayVisible) {\n        this.show();\n        this.editable && this.changeFocusedOptionIndex(event, this.findSelectedOptionIndex());\n      } else {\n        var optionIndex = this.focusedOptionIndex !== -1 ? this.findNextOptionIndex(this.focusedOptionIndex) : this.clicked ? this.findFirstOptionIndex() : this.findFirstFocusedOptionIndex();\n        this.changeFocusedOptionIndex(event, optionIndex);\n      }\n      event.preventDefault();\n    },\n    onArrowUpKey: function onArrowUpKey(event) {\n      var pressedInInputText = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      if (event.altKey && !pressedInInputText) {\n        if (this.focusedOptionIndex !== -1) {\n          this.onOptionSelect(event, this.visibleOptions[this.focusedOptionIndex]);\n        }\n        this.overlayVisible && this.hide();\n        event.preventDefault();\n      } else {\n        var optionIndex = this.focusedOptionIndex !== -1 ? this.findPrevOptionIndex(this.focusedOptionIndex) : this.clicked ? this.findLastOptionIndex() : this.findLastFocusedOptionIndex();\n        this.changeFocusedOptionIndex(event, optionIndex);\n        !this.overlayVisible && this.show();\n        event.preventDefault();\n      }\n    },\n    onArrowLeftKey: function onArrowLeftKey(event) {\n      var pressedInInputText = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      pressedInInputText && (this.focusedOptionIndex = -1);\n    },\n    onHomeKey: function onHomeKey(event) {\n      var pressedInInputText = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      if (pressedInInputText) {\n        var target = event.currentTarget;\n        if (event.shiftKey) {\n          target.setSelectionRange(0, event.target.selectionStart);\n        } else {\n          target.setSelectionRange(0, 0);\n          this.focusedOptionIndex = -1;\n        }\n      } else {\n        this.changeFocusedOptionIndex(event, this.findFirstOptionIndex());\n        !this.overlayVisible && this.show();\n      }\n      event.preventDefault();\n    },\n    onEndKey: function onEndKey(event) {\n      var pressedInInputText = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      if (pressedInInputText) {\n        var target = event.currentTarget;\n        if (event.shiftKey) {\n          target.setSelectionRange(event.target.selectionStart, target.value.length);\n        } else {\n          var len = target.value.length;\n          target.setSelectionRange(len, len);\n          this.focusedOptionIndex = -1;\n        }\n      } else {\n        this.changeFocusedOptionIndex(event, this.findLastOptionIndex());\n        !this.overlayVisible && this.show();\n      }\n      event.preventDefault();\n    },\n    onPageUpKey: function onPageUpKey(event) {\n      this.scrollInView(0);\n      event.preventDefault();\n    },\n    onPageDownKey: function onPageDownKey(event) {\n      this.scrollInView(this.visibleOptions.length - 1);\n      event.preventDefault();\n    },\n    onEnterKey: function onEnterKey(event) {\n      if (!this.overlayVisible) {\n        this.focusedOptionIndex = -1; // reset\n        this.onArrowDownKey(event);\n      } else {\n        if (this.focusedOptionIndex !== -1) {\n          this.onOptionSelect(event, this.visibleOptions[this.focusedOptionIndex]);\n        }\n        this.hide();\n      }\n      event.preventDefault();\n    },\n    onSpaceKey: function onSpaceKey(event) {\n      var pressedInInputText = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      !pressedInInputText && this.onEnterKey(event);\n    },\n    onEscapeKey: function onEscapeKey(event) {\n      this.overlayVisible && this.hide(true);\n      event.preventDefault();\n      event.stopPropagation(); //@todo will be changed next versionss\n    },\n    onTabKey: function onTabKey(event) {\n      var pressedInInputText = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      if (!pressedInInputText) {\n        if (this.overlayVisible && this.hasFocusableElements()) {\n          focus(this.$refs.firstHiddenFocusableElementOnOverlay);\n          event.preventDefault();\n        } else {\n          if (this.focusedOptionIndex !== -1) {\n            this.onOptionSelect(event, this.visibleOptions[this.focusedOptionIndex]);\n          }\n          this.overlayVisible && this.hide(this.filter);\n        }\n      }\n    },\n    onBackspaceKey: function onBackspaceKey(event) {\n      var pressedInInputText = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      if (pressedInInputText) {\n        !this.overlayVisible && this.show();\n      }\n    },\n    onOverlayEnter: function onOverlayEnter(el) {\n      ZIndex.set('overlay', el, this.$primevue.config.zIndex.overlay);\n      addStyle(el, {\n        position: 'absolute',\n        top: '0',\n        left: '0'\n      });\n      this.alignOverlay();\n      this.scrollInView();\n      this.autoFilterFocus && focus(this.$refs.filterInput.$el);\n    },\n    onOverlayAfterEnter: function onOverlayAfterEnter() {\n      this.bindOutsideClickListener();\n      this.bindScrollListener();\n      this.bindResizeListener();\n      this.$emit('show');\n    },\n    onOverlayLeave: function onOverlayLeave() {\n      this.unbindOutsideClickListener();\n      this.unbindScrollListener();\n      this.unbindResizeListener();\n      this.$emit('hide');\n      this.overlay = null;\n    },\n    onOverlayAfterLeave: function onOverlayAfterLeave(el) {\n      ZIndex.clear(el);\n    },\n    alignOverlay: function alignOverlay() {\n      if (this.appendTo === 'self') {\n        relativePosition(this.overlay, this.$el);\n      } else {\n        this.overlay.style.minWidth = getOuterWidth(this.$el) + 'px';\n        absolutePosition(this.overlay, this.$el);\n      }\n    },\n    bindOutsideClickListener: function bindOutsideClickListener() {\n      var _this3 = this;\n      if (!this.outsideClickListener) {\n        this.outsideClickListener = function (event) {\n          if (_this3.overlayVisible && _this3.overlay && !_this3.$el.contains(event.target) && !_this3.overlay.contains(event.target)) {\n            _this3.hide();\n          }\n        };\n        document.addEventListener('click', this.outsideClickListener);\n      }\n    },\n    unbindOutsideClickListener: function unbindOutsideClickListener() {\n      if (this.outsideClickListener) {\n        document.removeEventListener('click', this.outsideClickListener);\n        this.outsideClickListener = null;\n      }\n    },\n    bindScrollListener: function bindScrollListener() {\n      var _this4 = this;\n      if (!this.scrollHandler) {\n        this.scrollHandler = new ConnectedOverlayScrollHandler(this.$refs.container, function () {\n          if (_this4.overlayVisible) {\n            _this4.hide();\n          }\n        });\n      }\n      this.scrollHandler.bindScrollListener();\n    },\n    unbindScrollListener: function unbindScrollListener() {\n      if (this.scrollHandler) {\n        this.scrollHandler.unbindScrollListener();\n      }\n    },\n    bindResizeListener: function bindResizeListener() {\n      var _this5 = this;\n      if (!this.resizeListener) {\n        this.resizeListener = function () {\n          if (_this5.overlayVisible && !isTouchDevice()) {\n            _this5.hide();\n          }\n        };\n        window.addEventListener('resize', this.resizeListener);\n      }\n    },\n    unbindResizeListener: function unbindResizeListener() {\n      if (this.resizeListener) {\n        window.removeEventListener('resize', this.resizeListener);\n        this.resizeListener = null;\n      }\n    },\n    bindLabelClickListener: function bindLabelClickListener() {\n      var _this6 = this;\n      if (!this.editable && !this.labelClickListener) {\n        var label = document.querySelector(\"label[for=\\\"\".concat(this.inputId, \"\\\"]\"));\n        if (label && isVisible(label)) {\n          this.labelClickListener = function () {\n            focus(_this6.$refs.focusInput);\n          };\n          label.addEventListener('click', this.labelClickListener);\n        }\n      }\n    },\n    unbindLabelClickListener: function unbindLabelClickListener() {\n      if (this.labelClickListener) {\n        var label = document.querySelector(\"label[for=\\\"\".concat(this.inputId, \"\\\"]\"));\n        if (label && isVisible(label)) {\n          label.removeEventListener('click', this.labelClickListener);\n        }\n      }\n    },\n    hasFocusableElements: function hasFocusableElements() {\n      return getFocusableElements(this.overlay, ':not([data-p-hidden-focusable=\"true\"])').length > 0;\n    },\n    isOptionMatched: function isOptionMatched(option) {\n      var _this$getOptionLabel;\n      return this.isValidOption(option) && typeof this.getOptionLabel(option) === 'string' && ((_this$getOptionLabel = this.getOptionLabel(option)) === null || _this$getOptionLabel === void 0 ? void 0 : _this$getOptionLabel.toLocaleLowerCase(this.filterLocale).startsWith(this.searchValue.toLocaleLowerCase(this.filterLocale)));\n    },\n    isValidOption: function isValidOption(option) {\n      return isNotEmpty(option) && !(this.isOptionDisabled(option) || this.isOptionGroup(option));\n    },\n    isValidSelectedOption: function isValidSelectedOption(option) {\n      return this.isValidOption(option) && this.isSelected(option);\n    },\n    isSelected: function isSelected(option) {\n      return this.isValidOption(option) && equals(this.modelValue, this.getOptionValue(option), this.equalityKey);\n    },\n    findFirstOptionIndex: function findFirstOptionIndex() {\n      var _this7 = this;\n      return this.visibleOptions.findIndex(function (option) {\n        return _this7.isValidOption(option);\n      });\n    },\n    findLastOptionIndex: function findLastOptionIndex() {\n      var _this8 = this;\n      return findLastIndex(this.visibleOptions, function (option) {\n        return _this8.isValidOption(option);\n      });\n    },\n    findNextOptionIndex: function findNextOptionIndex(index) {\n      var _this9 = this;\n      var matchedOptionIndex = index < this.visibleOptions.length - 1 ? this.visibleOptions.slice(index + 1).findIndex(function (option) {\n        return _this9.isValidOption(option);\n      }) : -1;\n      return matchedOptionIndex > -1 ? matchedOptionIndex + index + 1 : index;\n    },\n    findPrevOptionIndex: function findPrevOptionIndex(index) {\n      var _this10 = this;\n      var matchedOptionIndex = index > 0 ? findLastIndex(this.visibleOptions.slice(0, index), function (option) {\n        return _this10.isValidOption(option);\n      }) : -1;\n      return matchedOptionIndex > -1 ? matchedOptionIndex : index;\n    },\n    findSelectedOptionIndex: function findSelectedOptionIndex() {\n      var _this11 = this;\n      return this.hasSelectedOption ? this.visibleOptions.findIndex(function (option) {\n        return _this11.isValidSelectedOption(option);\n      }) : -1;\n    },\n    findFirstFocusedOptionIndex: function findFirstFocusedOptionIndex() {\n      var selectedIndex = this.findSelectedOptionIndex();\n      return selectedIndex < 0 ? this.findFirstOptionIndex() : selectedIndex;\n    },\n    findLastFocusedOptionIndex: function findLastFocusedOptionIndex() {\n      var selectedIndex = this.findSelectedOptionIndex();\n      return selectedIndex < 0 ? this.findLastOptionIndex() : selectedIndex;\n    },\n    searchOptions: function searchOptions(event, _char) {\n      var _this12 = this;\n      this.searchValue = (this.searchValue || '') + _char;\n      var optionIndex = -1;\n      var matched = false;\n      if (isNotEmpty(this.searchValue)) {\n        if (this.focusedOptionIndex !== -1) {\n          optionIndex = this.visibleOptions.slice(this.focusedOptionIndex).findIndex(function (option) {\n            return _this12.isOptionMatched(option);\n          });\n          optionIndex = optionIndex === -1 ? this.visibleOptions.slice(0, this.focusedOptionIndex).findIndex(function (option) {\n            return _this12.isOptionMatched(option);\n          }) : optionIndex + this.focusedOptionIndex;\n        } else {\n          optionIndex = this.visibleOptions.findIndex(function (option) {\n            return _this12.isOptionMatched(option);\n          });\n        }\n        if (optionIndex !== -1) {\n          matched = true;\n        }\n        if (optionIndex === -1 && this.focusedOptionIndex === -1) {\n          optionIndex = this.findFirstFocusedOptionIndex();\n        }\n        if (optionIndex !== -1) {\n          this.changeFocusedOptionIndex(event, optionIndex);\n        }\n      }\n      if (this.searchTimeout) {\n        clearTimeout(this.searchTimeout);\n      }\n      this.searchTimeout = setTimeout(function () {\n        _this12.searchValue = '';\n        _this12.searchTimeout = null;\n      }, 500);\n      return matched;\n    },\n    changeFocusedOptionIndex: function changeFocusedOptionIndex(event, index) {\n      if (this.focusedOptionIndex !== index) {\n        this.focusedOptionIndex = index;\n        this.scrollInView();\n        if (this.selectOnFocus) {\n          this.onOptionSelect(event, this.visibleOptions[index], false);\n        }\n      }\n    },\n    scrollInView: function scrollInView() {\n      var _this13 = this;\n      var index = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : -1;\n      this.$nextTick(function () {\n        var id = index !== -1 ? \"\".concat(_this13.id, \"_\").concat(index) : _this13.focusedOptionId;\n        var element = findSingle(_this13.list, \"li[id=\\\"\".concat(id, \"\\\"]\"));\n        if (element) {\n          element.scrollIntoView && element.scrollIntoView({\n            block: 'nearest',\n            inline: 'start'\n          });\n        } else if (!_this13.virtualScrollerDisabled) {\n          _this13.virtualScroller && _this13.virtualScroller.scrollToIndex(index !== -1 ? index : _this13.focusedOptionIndex);\n        }\n      });\n    },\n    autoUpdateModel: function autoUpdateModel() {\n      if (this.selectOnFocus && this.autoOptionFocus && !this.hasSelectedOption) {\n        this.focusedOptionIndex = this.findFirstFocusedOptionIndex();\n        this.onOptionSelect(null, this.visibleOptions[this.focusedOptionIndex], false);\n      }\n    },\n    updateModel: function updateModel(event, value) {\n      this.$emit('update:modelValue', value);\n      this.$emit('change', {\n        originalEvent: event,\n        value: value\n      });\n    },\n    flatOptions: function flatOptions(options) {\n      var _this14 = this;\n      return (options || []).reduce(function (result, option, index) {\n        result.push({\n          optionGroup: option,\n          group: true,\n          index: index\n        });\n        var optionGroupChildren = _this14.getOptionGroupChildren(option);\n        optionGroupChildren && optionGroupChildren.forEach(function (o) {\n          return result.push(o);\n        });\n        return result;\n      }, []);\n    },\n    overlayRef: function overlayRef(el) {\n      this.overlay = el;\n    },\n    listRef: function listRef(el, contentRef) {\n      this.list = el;\n      contentRef && contentRef(el); // For VirtualScroller\n    },\n    virtualScrollerRef: function virtualScrollerRef(el) {\n      this.virtualScroller = el;\n    }\n  },\n  computed: {\n    visibleOptions: function visibleOptions() {\n      var _this15 = this;\n      var options = this.optionGroupLabel ? this.flatOptions(this.options) : this.options || [];\n      if (this.filterValue) {\n        var filteredOptions = FilterService.filter(options, this.searchFields, this.filterValue, this.filterMatchMode, this.filterLocale);\n        if (this.optionGroupLabel) {\n          var optionGroups = this.options || [];\n          var filtered = [];\n          optionGroups.forEach(function (group) {\n            var groupChildren = _this15.getOptionGroupChildren(group);\n            var filteredItems = groupChildren.filter(function (item) {\n              return filteredOptions.includes(item);\n            });\n            if (filteredItems.length > 0) filtered.push(_objectSpread(_objectSpread({}, group), {}, _defineProperty({}, typeof _this15.optionGroupChildren === 'string' ? _this15.optionGroupChildren : 'items', _toConsumableArray(filteredItems))));\n          });\n          return this.flatOptions(filtered);\n        }\n        return filteredOptions;\n      }\n      return options;\n    },\n    hasSelectedOption: function hasSelectedOption() {\n      return isNotEmpty(this.modelValue);\n    },\n    label: function label() {\n      var selectedOptionIndex = this.findSelectedOptionIndex();\n      return selectedOptionIndex !== -1 ? this.getOptionLabel(this.visibleOptions[selectedOptionIndex]) : this.placeholder || 'p-emptylabel';\n    },\n    editableInputValue: function editableInputValue() {\n      var selectedOptionIndex = this.findSelectedOptionIndex();\n      return selectedOptionIndex !== -1 ? this.getOptionLabel(this.visibleOptions[selectedOptionIndex]) : this.modelValue || '';\n    },\n    equalityKey: function equalityKey() {\n      return this.optionValue ? null : this.dataKey;\n    },\n    searchFields: function searchFields() {\n      return this.filterFields || [this.optionLabel];\n    },\n    filterResultMessageText: function filterResultMessageText() {\n      return isNotEmpty(this.visibleOptions) ? this.filterMessageText.replaceAll('{0}', this.visibleOptions.length) : this.emptyFilterMessageText;\n    },\n    filterMessageText: function filterMessageText() {\n      return this.filterMessage || this.$primevue.config.locale.searchMessage || '';\n    },\n    emptyFilterMessageText: function emptyFilterMessageText() {\n      return this.emptyFilterMessage || this.$primevue.config.locale.emptySearchMessage || this.$primevue.config.locale.emptyFilterMessage || '';\n    },\n    emptyMessageText: function emptyMessageText() {\n      return this.emptyMessage || this.$primevue.config.locale.emptyMessage || '';\n    },\n    selectionMessageText: function selectionMessageText() {\n      return this.selectionMessage || this.$primevue.config.locale.selectionMessage || '';\n    },\n    emptySelectionMessageText: function emptySelectionMessageText() {\n      return this.emptySelectionMessage || this.$primevue.config.locale.emptySelectionMessage || '';\n    },\n    selectedMessageText: function selectedMessageText() {\n      return this.hasSelectedOption ? this.selectionMessageText.replaceAll('{0}', '1') : this.emptySelectionMessageText;\n    },\n    focusedOptionId: function focusedOptionId() {\n      return this.focusedOptionIndex !== -1 ? \"\".concat(this.id, \"_\").concat(this.focusedOptionIndex) : null;\n    },\n    ariaSetSize: function ariaSetSize() {\n      var _this16 = this;\n      return this.visibleOptions.filter(function (option) {\n        return !_this16.isOptionGroup(option);\n      }).length;\n    },\n    virtualScrollerDisabled: function virtualScrollerDisabled() {\n      return !this.virtualScrollerOptions;\n    }\n  },\n  directives: {\n    ripple: Ripple\n  },\n  components: {\n    InputText: InputText,\n    VirtualScroller: VirtualScroller,\n    Portal: Portal,\n    InputIcon: InputIcon,\n    IconField: IconField,\n    TimesIcon: TimesIcon,\n    ChevronDownIcon: ChevronDownIcon,\n    SpinnerIcon: SpinnerIcon,\n    SearchIcon: SearchIcon,\n    CheckIcon: CheckIcon,\n    BlankIcon: BlankIcon\n  }\n};\n\nvar _hoisted_1 = [\"id\"];\nvar _hoisted_2 = [\"id\", \"value\", \"placeholder\", \"tabindex\", \"disabled\", \"aria-label\", \"aria-labelledby\", \"aria-expanded\", \"aria-controls\", \"aria-activedescendant\", \"aria-invalid\"];\nvar _hoisted_3 = [\"id\", \"tabindex\", \"aria-label\", \"aria-labelledby\", \"aria-expanded\", \"aria-controls\", \"aria-activedescendant\", \"aria-disabled\"];\nvar _hoisted_4 = [\"id\"];\nvar _hoisted_5 = [\"id\"];\nvar _hoisted_6 = [\"id\", \"aria-label\", \"aria-selected\", \"aria-disabled\", \"aria-setsize\", \"aria-posinset\", \"onClick\", \"onMousemove\", \"data-p-selected\", \"data-p-focused\", \"data-p-disabled\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_SpinnerIcon = resolveComponent(\"SpinnerIcon\");\n  var _component_InputText = resolveComponent(\"InputText\");\n  var _component_SearchIcon = resolveComponent(\"SearchIcon\");\n  var _component_InputIcon = resolveComponent(\"InputIcon\");\n  var _component_IconField = resolveComponent(\"IconField\");\n  var _component_CheckIcon = resolveComponent(\"CheckIcon\");\n  var _component_BlankIcon = resolveComponent(\"BlankIcon\");\n  var _component_VirtualScroller = resolveComponent(\"VirtualScroller\");\n  var _component_Portal = resolveComponent(\"Portal\");\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    ref: \"container\",\n    id: $data.id,\n    \"class\": _ctx.cx('root'),\n    onClick: _cache[11] || (_cache[11] = function () {\n      return $options.onContainerClick && $options.onContainerClick.apply($options, arguments);\n    })\n  }, _ctx.ptmi('root')), [_ctx.editable ? (openBlock(), createElementBlock(\"input\", mergeProps({\n    key: 0,\n    ref: \"focusInput\",\n    id: _ctx.labelId || _ctx.inputId,\n    type: \"text\",\n    \"class\": [_ctx.cx('label'), _ctx.inputClass, _ctx.labelClass],\n    style: [_ctx.inputStyle, _ctx.labelStyle],\n    value: $options.editableInputValue,\n    placeholder: _ctx.placeholder,\n    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,\n    disabled: _ctx.disabled,\n    autocomplete: \"off\",\n    role: \"combobox\",\n    \"aria-label\": _ctx.ariaLabel,\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-haspopup\": \"listbox\",\n    \"aria-expanded\": $data.overlayVisible,\n    \"aria-controls\": $data.id + '_list',\n    \"aria-activedescendant\": $data.focused ? $options.focusedOptionId : undefined,\n    \"aria-invalid\": _ctx.invalid || undefined,\n    onFocus: _cache[0] || (_cache[0] = function () {\n      return $options.onFocus && $options.onFocus.apply($options, arguments);\n    }),\n    onBlur: _cache[1] || (_cache[1] = function () {\n      return $options.onBlur && $options.onBlur.apply($options, arguments);\n    }),\n    onKeydown: _cache[2] || (_cache[2] = function () {\n      return $options.onKeyDown && $options.onKeyDown.apply($options, arguments);\n    }),\n    onInput: _cache[3] || (_cache[3] = function () {\n      return $options.onEditableInput && $options.onEditableInput.apply($options, arguments);\n    })\n  }, _ctx.ptm('label')), null, 16, _hoisted_2)) : (openBlock(), createElementBlock(\"span\", mergeProps({\n    key: 1,\n    ref: \"focusInput\",\n    id: _ctx.labelId || _ctx.inputId,\n    \"class\": [_ctx.cx('label'), _ctx.inputClass, _ctx.labelClass],\n    style: [_ctx.inputStyle, _ctx.labelStyle],\n    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,\n    role: \"combobox\",\n    \"aria-label\": _ctx.ariaLabel || ($options.label === 'p-emptylabel' ? undefined : $options.label),\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-haspopup\": \"listbox\",\n    \"aria-expanded\": $data.overlayVisible,\n    \"aria-controls\": $data.id + '_list',\n    \"aria-activedescendant\": $data.focused ? $options.focusedOptionId : undefined,\n    \"aria-disabled\": _ctx.disabled,\n    onFocus: _cache[4] || (_cache[4] = function () {\n      return $options.onFocus && $options.onFocus.apply($options, arguments);\n    }),\n    onBlur: _cache[5] || (_cache[5] = function () {\n      return $options.onBlur && $options.onBlur.apply($options, arguments);\n    }),\n    onKeydown: _cache[6] || (_cache[6] = function () {\n      return $options.onKeyDown && $options.onKeyDown.apply($options, arguments);\n    })\n  }, _ctx.ptm('label')), [renderSlot(_ctx.$slots, \"value\", {\n    value: _ctx.modelValue,\n    placeholder: _ctx.placeholder\n  }, function () {\n    return [createTextVNode(toDisplayString($options.label === 'p-emptylabel' ? ' ' : $options.label || 'empty'), 1)];\n  })], 16, _hoisted_3)), _ctx.showClear && _ctx.modelValue != null ? renderSlot(_ctx.$slots, \"clearicon\", {\n    key: 2,\n    \"class\": normalizeClass(_ctx.cx('clearIcon')),\n    clearCallback: $options.onClearClick\n  }, function () {\n    return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.clearIcon ? 'i' : 'TimesIcon'), mergeProps({\n      ref: \"clearIcon\",\n      \"class\": [_ctx.cx('clearIcon'), _ctx.clearIcon],\n      onClick: $options.onClearClick\n    }, _ctx.ptm('clearIcon'), {\n      \"data-pc-section\": \"clearicon\"\n    }), null, 16, [\"class\", \"onClick\"]))];\n  }) : createCommentVNode(\"\", true), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('dropdown')\n  }, _ctx.ptm('dropdown')), [_ctx.loading ? renderSlot(_ctx.$slots, \"loadingicon\", {\n    key: 0,\n    \"class\": normalizeClass(_ctx.cx('loadingIcon'))\n  }, function () {\n    return [_ctx.loadingIcon ? (openBlock(), createElementBlock(\"span\", mergeProps({\n      key: 0,\n      \"class\": [_ctx.cx('loadingIcon'), 'pi-spin', _ctx.loadingIcon],\n      \"aria-hidden\": \"true\"\n    }, _ctx.ptm('loadingIcon')), null, 16)) : (openBlock(), createBlock(_component_SpinnerIcon, mergeProps({\n      key: 1,\n      \"class\": _ctx.cx('loadingIcon'),\n      spin: \"\",\n      \"aria-hidden\": \"true\"\n    }, _ctx.ptm('loadingIcon')), null, 16, [\"class\"]))];\n  }) : renderSlot(_ctx.$slots, \"dropdownicon\", {\n    key: 1,\n    \"class\": normalizeClass(_ctx.cx('dropdownIcon'))\n  }, function () {\n    return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.dropdownIcon ? 'span' : 'ChevronDownIcon'), mergeProps({\n      \"class\": [_ctx.cx('dropdownIcon'), _ctx.dropdownIcon],\n      \"aria-hidden\": \"true\"\n    }, _ctx.ptm('dropdownIcon')), null, 16, [\"class\"]))];\n  })], 16), createVNode(_component_Portal, {\n    appendTo: _ctx.appendTo\n  }, {\n    \"default\": withCtx(function () {\n      return [createVNode(Transition, mergeProps({\n        name: \"p-connected-overlay\",\n        onEnter: $options.onOverlayEnter,\n        onAfterEnter: $options.onOverlayAfterEnter,\n        onLeave: $options.onOverlayLeave,\n        onAfterLeave: $options.onOverlayAfterLeave\n      }, _ctx.ptm('transition')), {\n        \"default\": withCtx(function () {\n          return [$data.overlayVisible ? (openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 0,\n            ref: $options.overlayRef,\n            \"class\": [_ctx.cx('overlay'), _ctx.panelClass, _ctx.overlayClass],\n            style: [_ctx.panelStyle, _ctx.overlayStyle],\n            onClick: _cache[9] || (_cache[9] = function () {\n              return $options.onOverlayClick && $options.onOverlayClick.apply($options, arguments);\n            }),\n            onKeydown: _cache[10] || (_cache[10] = function () {\n              return $options.onOverlayKeyDown && $options.onOverlayKeyDown.apply($options, arguments);\n            })\n          }, _ctx.ptm('overlay')), [createElementVNode(\"span\", mergeProps({\n            ref: \"firstHiddenFocusableElementOnOverlay\",\n            role: \"presentation\",\n            \"aria-hidden\": \"true\",\n            \"class\": \"p-hidden-accessible p-hidden-focusable\",\n            tabindex: 0,\n            onFocus: _cache[7] || (_cache[7] = function () {\n              return $options.onFirstHiddenFocus && $options.onFirstHiddenFocus.apply($options, arguments);\n            })\n          }, _ctx.ptm('hiddenFirstFocusableEl'), {\n            \"data-p-hidden-accessible\": true,\n            \"data-p-hidden-focusable\": true\n          }), null, 16), renderSlot(_ctx.$slots, \"header\", {\n            value: _ctx.modelValue,\n            options: $options.visibleOptions\n          }), _ctx.filter ? (openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 0,\n            \"class\": _ctx.cx('header')\n          }, _ctx.ptm('header')), [createVNode(_component_IconField, mergeProps({\n            unstyled: _ctx.unstyled\n          }, _ctx.ptm('pcFilterContainer')), {\n            \"default\": withCtx(function () {\n              return [createVNode(_component_InputText, {\n                ref: \"filterInput\",\n                type: \"text\",\n                value: $data.filterValue,\n                onVnodeMounted: $options.onFilterUpdated,\n                onVnodeUpdated: $options.onFilterUpdated,\n                \"class\": normalizeClass(_ctx.cx('pcFilter')),\n                placeholder: _ctx.filterPlaceholder,\n                variant: _ctx.variant,\n                unstyled: _ctx.unstyled,\n                role: \"searchbox\",\n                autocomplete: \"off\",\n                \"aria-owns\": $data.id + '_list',\n                \"aria-activedescendant\": $options.focusedOptionId,\n                onKeydown: $options.onFilterKeyDown,\n                onBlur: $options.onFilterBlur,\n                onInput: $options.onFilterChange,\n                pt: _ctx.ptm('pcFilter')\n              }, null, 8, [\"value\", \"onVnodeMounted\", \"onVnodeUpdated\", \"class\", \"placeholder\", \"variant\", \"unstyled\", \"aria-owns\", \"aria-activedescendant\", \"onKeydown\", \"onBlur\", \"onInput\", \"pt\"]), createVNode(_component_InputIcon, mergeProps({\n                unstyled: _ctx.unstyled\n              }, _ctx.ptm('pcFilterIconContainer')), {\n                \"default\": withCtx(function () {\n                  return [renderSlot(_ctx.$slots, \"filtericon\", {}, function () {\n                    return [_ctx.filterIcon ? (openBlock(), createElementBlock(\"span\", mergeProps({\n                      key: 0,\n                      \"class\": _ctx.filterIcon\n                    }, _ctx.ptm('filterIcon')), null, 16)) : (openBlock(), createBlock(_component_SearchIcon, normalizeProps(mergeProps({\n                      key: 1\n                    }, _ctx.ptm('filterIcon'))), null, 16))];\n                  })];\n                }),\n                _: 3\n              }, 16, [\"unstyled\"])];\n            }),\n            _: 3\n          }, 16, [\"unstyled\"]), createElementVNode(\"span\", mergeProps({\n            role: \"status\",\n            \"aria-live\": \"polite\",\n            \"class\": \"p-hidden-accessible\"\n          }, _ctx.ptm('hiddenFilterResult'), {\n            \"data-p-hidden-accessible\": true\n          }), toDisplayString($options.filterResultMessageText), 17)], 16)) : createCommentVNode(\"\", true), createElementVNode(\"div\", mergeProps({\n            \"class\": _ctx.cx('listContainer'),\n            style: {\n              'max-height': $options.virtualScrollerDisabled ? _ctx.scrollHeight : ''\n            }\n          }, _ctx.ptm('listContainer')), [createVNode(_component_VirtualScroller, mergeProps({\n            ref: $options.virtualScrollerRef\n          }, _ctx.virtualScrollerOptions, {\n            items: $options.visibleOptions,\n            style: {\n              height: _ctx.scrollHeight\n            },\n            tabindex: -1,\n            disabled: $options.virtualScrollerDisabled,\n            pt: _ctx.ptm('virtualScroller')\n          }), createSlots({\n            content: withCtx(function (_ref) {\n              var styleClass = _ref.styleClass,\n                contentRef = _ref.contentRef,\n                items = _ref.items,\n                getItemOptions = _ref.getItemOptions,\n                contentStyle = _ref.contentStyle,\n                itemSize = _ref.itemSize;\n              return [createElementVNode(\"ul\", mergeProps({\n                ref: function ref(el) {\n                  return $options.listRef(el, contentRef);\n                },\n                id: $data.id + '_list',\n                \"class\": [_ctx.cx('list'), styleClass],\n                style: contentStyle,\n                role: \"listbox\"\n              }, _ctx.ptm('list')), [(openBlock(true), createElementBlock(Fragment, null, renderList(items, function (option, i) {\n                return openBlock(), createElementBlock(Fragment, {\n                  key: $options.getOptionRenderKey(option, $options.getOptionIndex(i, getItemOptions))\n                }, [$options.isOptionGroup(option) ? (openBlock(), createElementBlock(\"li\", mergeProps({\n                  key: 0,\n                  id: $data.id + '_' + $options.getOptionIndex(i, getItemOptions),\n                  style: {\n                    height: itemSize ? itemSize + 'px' : undefined\n                  },\n                  \"class\": _ctx.cx('optionGroup'),\n                  role: \"option\",\n                  ref_for: true\n                }, _ctx.ptm('optionGroup')), [renderSlot(_ctx.$slots, \"optiongroup\", {\n                  option: option.optionGroup,\n                  index: $options.getOptionIndex(i, getItemOptions)\n                }, function () {\n                  return [createElementVNode(\"span\", mergeProps({\n                    \"class\": _ctx.cx('optionGroupLabel'),\n                    ref_for: true\n                  }, _ctx.ptm('optionGroupLabel')), toDisplayString($options.getOptionGroupLabel(option.optionGroup)), 17)];\n                })], 16, _hoisted_5)) : withDirectives((openBlock(), createElementBlock(\"li\", mergeProps({\n                  key: 1,\n                  id: $data.id + '_' + $options.getOptionIndex(i, getItemOptions),\n                  \"class\": _ctx.cx('option', {\n                    option: option,\n                    focusedOption: $options.getOptionIndex(i, getItemOptions)\n                  }),\n                  style: {\n                    height: itemSize ? itemSize + 'px' : undefined\n                  },\n                  role: \"option\",\n                  \"aria-label\": $options.getOptionLabel(option),\n                  \"aria-selected\": $options.isSelected(option),\n                  \"aria-disabled\": $options.isOptionDisabled(option),\n                  \"aria-setsize\": $options.ariaSetSize,\n                  \"aria-posinset\": $options.getAriaPosInset($options.getOptionIndex(i, getItemOptions)),\n                  onClick: function onClick($event) {\n                    return $options.onOptionSelect($event, option);\n                  },\n                  onMousemove: function onMousemove($event) {\n                    return $options.onOptionMouseMove($event, $options.getOptionIndex(i, getItemOptions));\n                  },\n                  \"data-p-selected\": $options.isSelected(option),\n                  \"data-p-focused\": $data.focusedOptionIndex === $options.getOptionIndex(i, getItemOptions),\n                  \"data-p-disabled\": $options.isOptionDisabled(option),\n                  ref_for: true\n                }, $options.getPTItemOptions(option, getItemOptions, i, 'option')), [_ctx.checkmark ? (openBlock(), createElementBlock(Fragment, {\n                  key: 0\n                }, [$options.isSelected(option) ? (openBlock(), createBlock(_component_CheckIcon, mergeProps({\n                  key: 0,\n                  \"class\": _ctx.cx('optionCheckIcon'),\n                  ref_for: true\n                }, _ctx.ptm('optionCheckIcon')), null, 16, [\"class\"])) : (openBlock(), createBlock(_component_BlankIcon, mergeProps({\n                  key: 1,\n                  \"class\": _ctx.cx('optionBlankIcon'),\n                  ref_for: true\n                }, _ctx.ptm('optionBlankIcon')), null, 16, [\"class\"]))], 64)) : createCommentVNode(\"\", true), renderSlot(_ctx.$slots, \"option\", {\n                  option: option,\n                  selected: $options.isSelected(option),\n                  index: $options.getOptionIndex(i, getItemOptions)\n                }, function () {\n                  return [createElementVNode(\"span\", mergeProps({\n                    \"class\": _ctx.cx('optionLabel'),\n                    ref_for: true\n                  }, _ctx.ptm('optionLabel')), toDisplayString($options.getOptionLabel(option)), 17)];\n                })], 16, _hoisted_6)), [[_directive_ripple]])], 64);\n              }), 128)), $data.filterValue && (!items || items && items.length === 0) ? (openBlock(), createElementBlock(\"li\", mergeProps({\n                key: 0,\n                \"class\": _ctx.cx('emptyMessage'),\n                role: \"option\"\n              }, _ctx.ptm('emptyMessage'), {\n                \"data-p-hidden-accessible\": true\n              }), [renderSlot(_ctx.$slots, \"emptyfilter\", {}, function () {\n                return [createTextVNode(toDisplayString($options.emptyFilterMessageText), 1)];\n              })], 16)) : !_ctx.options || _ctx.options && _ctx.options.length === 0 ? (openBlock(), createElementBlock(\"li\", mergeProps({\n                key: 1,\n                \"class\": _ctx.cx('emptyMessage'),\n                role: \"option\"\n              }, _ctx.ptm('emptyMessage'), {\n                \"data-p-hidden-accessible\": true\n              }), [renderSlot(_ctx.$slots, \"empty\", {}, function () {\n                return [createTextVNode(toDisplayString($options.emptyMessageText), 1)];\n              })], 16)) : createCommentVNode(\"\", true)], 16, _hoisted_4)];\n            }),\n            _: 2\n          }, [_ctx.$slots.loader ? {\n            name: \"loader\",\n            fn: withCtx(function (_ref2) {\n              var options = _ref2.options;\n              return [renderSlot(_ctx.$slots, \"loader\", {\n                options: options\n              })];\n            }),\n            key: \"0\"\n          } : undefined]), 1040, [\"items\", \"style\", \"disabled\", \"pt\"])], 16), renderSlot(_ctx.$slots, \"footer\", {\n            value: _ctx.modelValue,\n            options: $options.visibleOptions\n          }), !_ctx.options || _ctx.options && _ctx.options.length === 0 ? (openBlock(), createElementBlock(\"span\", mergeProps({\n            key: 1,\n            role: \"status\",\n            \"aria-live\": \"polite\",\n            \"class\": \"p-hidden-accessible\"\n          }, _ctx.ptm('hiddenEmptyMessage'), {\n            \"data-p-hidden-accessible\": true\n          }), toDisplayString($options.emptyMessageText), 17)) : createCommentVNode(\"\", true), createElementVNode(\"span\", mergeProps({\n            role: \"status\",\n            \"aria-live\": \"polite\",\n            \"class\": \"p-hidden-accessible\"\n          }, _ctx.ptm('hiddenSelectedMessage'), {\n            \"data-p-hidden-accessible\": true\n          }), toDisplayString($options.selectedMessageText), 17), createElementVNode(\"span\", mergeProps({\n            ref: \"lastHiddenFocusableElementOnOverlay\",\n            role: \"presentation\",\n            \"aria-hidden\": \"true\",\n            \"class\": \"p-hidden-accessible p-hidden-focusable\",\n            tabindex: 0,\n            onFocus: _cache[8] || (_cache[8] = function () {\n              return $options.onLastHiddenFocus && $options.onLastHiddenFocus.apply($options, arguments);\n            })\n          }, _ctx.ptm('hiddenLastFocusableEl'), {\n            \"data-p-hidden-accessible\": true,\n            \"data-p-hidden-focusable\": true\n          }), null, 16)], 16)) : createCommentVNode(\"\", true)];\n        }),\n        _: 3\n      }, 16, [\"onEnter\", \"onAfterEnter\", \"onLeave\", \"onAfterLeave\"])];\n    }),\n    _: 3\n  }, 8, [\"appendTo\"])], 16, _hoisted_1);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-toggleswitch {\\n    display: inline-block;\\n    width: \".concat(dt('toggleswitch.width'), \";\\n    height: \").concat(dt('toggleswitch.height'), \";\\n}\\n\\n.p-toggleswitch-input {\\n    cursor: pointer;\\n    appearance: none;\\n    position: absolute;\\n    top: 0;\\n    left: 0;\\n    width: 100%;\\n    height: 100%;\\n    padding: 0;\\n    margin: 0;\\n    opacity: 0;\\n    z-index: 1;\\n    outline: 0 none;\\n    border-radius: \").concat(dt('toggleswitch.border.radius'), \";\\n}\\n\\n.p-toggleswitch-slider {\\n    display: inline-block;\\n    cursor: pointer;\\n    width: 100%;\\n    height: 100%;\\n    border-width: \").concat(dt('toggleswitch.border.width'), \";\\n    border-style: solid;\\n    border-color: \").concat(dt('toggleswitch.border.color'), \";\\n    background: \").concat(dt('toggleswitch.background'), \";\\n    transition: background \").concat(dt('toggleswitch.transition.duration'), \", color \").concat(dt('toggleswitch.transition.duration'), \", border-color \").concat(dt('toggleswitch.transition.duration'), \", outline-color \").concat(dt('toggleswitch.transition.duration'), \", box-shadow \").concat(dt('toggleswitch.transition.duration'), \";\\n    border-radius: \").concat(dt('toggleswitch.border.radius'), \";\\n    outline-color: transparent;\\n    box-shadow: \").concat(dt('toggleswitch.shadow'), \";\\n}\\n\\n.p-toggleswitch-slider:before {\\n    position: absolute;\\n    content: \\\"\\\";\\n    top: 50%;\\n    background: \").concat(dt('toggleswitch.handle.background'), \";\\n    width: \").concat(dt('toggleswitch.handle.size'), \";\\n    height: \").concat(dt('toggleswitch.handle.size'), \";\\n    left: \").concat(dt('toggleswitch.gap'), \";\\n    margin-top: calc(-1 * calc(\").concat(dt('toggleswitch.handle.size'), \" / 2));\\n    border-radius: \").concat(dt('toggleswitch.handle.border.radius'), \";\\n    transition: background \").concat(dt('toggleswitch.transition.duration'), \", left \").concat(dt('toggleswitch.slide.duration'), \";\\n}\\n\\n.p-toggleswitch.p-toggleswitch-checked .p-toggleswitch-slider {\\n    background: \").concat(dt('toggleswitch.checked.background'), \";\\n    border-color: \").concat(dt('toggleswitch.checked.border.color'), \";\\n}\\n\\n.p-toggleswitch.p-toggleswitch-checked .p-toggleswitch-slider:before {\\n    background: \").concat(dt('toggleswitch.handle.checked.background'), \";\\n    left: calc(\").concat(dt('toggleswitch.width'), \" - calc(\").concat(dt('toggleswitch.handle.size'), \" + \").concat(dt('toggleswitch.gap'), \"));\\n}\\n\\n.p-toggleswitch:not(.p-disabled):has(.p-toggleswitch-input:hover) .p-toggleswitch-slider {\\n    background: \").concat(dt('toggleswitch.hover.background'), \";\\n    border-color: \").concat(dt('toggleswitch.hover.border.color'), \";\\n}\\n\\n.p-toggleswitch:not(.p-disabled):has(.p-toggleswitch-input:hover) .p-toggleswitch-slider:before {\\n    background: \").concat(dt('toggleswitch.handle.hover.background'), \";\\n}\\n\\n.p-toggleswitch:not(.p-disabled):has(.p-toggleswitch-input:hover).p-toggleswitch-checked .p-toggleswitch-slider {\\n    background: \").concat(dt('toggleswitch.checked.hover.background'), \";\\n    border-color: \").concat(dt('toggleswitch.checked.hover.border.color'), \";\\n}\\n\\n.p-toggleswitch:not(.p-disabled):has(.p-toggleswitch-input:hover).p-toggleswitch-checked .p-toggleswitch-slider:before {\\n    background: \").concat(dt('toggleswitch.handle.checked.hover.background'), \";\\n}\\n\\n.p-toggleswitch:not(.p-disabled):has(.p-toggleswitch-input:focus-visible) .p-toggleswitch-slider {\\n    box-shadow: \").concat(dt('toggleswitch.focus.ring.shadow'), \";\\n    outline: \").concat(dt('toggleswitch.focus.ring.width'), \" \").concat(dt('toggleswitch.focus.ring.style'), \" \").concat(dt('toggleswitch.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('toggleswitch.focus.ring.offset'), \";\\n}\\n\\n.p-toggleswitch.p-invalid > .p-toggleswitch-slider {\\n    border-color: \").concat(dt('toggleswitch.invalid.border.color'), \";\\n}\\n\\n.p-toggleswitch.p-disabled {\\n    opacity: 1;\\n}\\n\\n.p-toggleswitch.p-disabled .p-toggleswitch-slider {\\n    background: \").concat(dt('toggleswitch.disabled.background'), \";\\n}\\n\\n.p-toggleswitch.p-disabled .p-toggleswitch-slider:before {\\n    background: \").concat(dt('toggleswitch.handle.disabled.background'), \";\\n}\\n\");\n};\nvar inlineStyles = {\n  root: {\n    position: 'relative'\n  }\n};\nvar classes = {\n  root: function root(_ref2) {\n    var instance = _ref2.instance,\n      props = _ref2.props;\n    return ['p-toggleswitch p-component', {\n      'p-toggleswitch-checked': instance.checked,\n      'p-disabled': props.disabled,\n      'p-invalid': props.invalid\n    }];\n  },\n  input: 'p-toggleswitch-input',\n  slider: 'p-toggleswitch-slider'\n};\nvar ToggleSwitchStyle = BaseStyle.extend({\n  name: 'toggleswitch',\n  theme: theme,\n  classes: classes,\n  inlineStyles: inlineStyles\n});\n\nexport { ToggleSwitchStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport ToggleSwitchStyle from 'primevue/toggleswitch/style';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BaseToggleSwitch',\n  \"extends\": BaseComponent,\n  props: {\n    modelValue: {\n      type: null,\n      \"default\": false\n    },\n    trueValue: {\n      type: null,\n      \"default\": true\n    },\n    falseValue: {\n      type: null,\n      \"default\": false\n    },\n    invalid: {\n      type: Boolean,\n      \"default\": false\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    readonly: {\n      type: Boolean,\n      \"default\": false\n    },\n    tabindex: {\n      type: Number,\n      \"default\": null\n    },\n    inputId: {\n      type: String,\n      \"default\": null\n    },\n    inputClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    inputStyle: {\n      type: Object,\n      \"default\": null\n    },\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: ToggleSwitchStyle,\n  provide: function provide() {\n    return {\n      $pcToggleSwitch: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'ToggleSwitch',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue', 'change', 'focus', 'blur'],\n  methods: {\n    getPTOptions: function getPTOptions(key) {\n      var _ptm = key === 'root' ? this.ptmi : this.ptm;\n      return _ptm(key, {\n        context: {\n          checked: this.checked,\n          disabled: this.disabled\n        }\n      });\n    },\n    onChange: function onChange(event) {\n      if (!this.disabled && !this.readonly) {\n        var newValue = this.checked ? this.falseValue : this.trueValue;\n        this.$emit('update:modelValue', newValue);\n        this.$emit('change', event);\n      }\n    },\n    onFocus: function onFocus(event) {\n      this.$emit('focus', event);\n    },\n    onBlur: function onBlur(event) {\n      this.$emit('blur', event);\n    }\n  },\n  computed: {\n    checked: function checked() {\n      return this.modelValue === this.trueValue;\n    }\n  }\n};\n\nvar _hoisted_1 = [\"data-p-checked\", \"data-p-disabled\"];\nvar _hoisted_2 = [\"id\", \"checked\", \"tabindex\", \"disabled\", \"readonly\", \"aria-checked\", \"aria-labelledby\", \"aria-label\", \"aria-invalid\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root'),\n    style: _ctx.sx('root')\n  }, $options.getPTOptions('root'), {\n    \"data-p-checked\": $options.checked,\n    \"data-p-disabled\": _ctx.disabled\n  }), [createElementVNode(\"input\", mergeProps({\n    id: _ctx.inputId,\n    type: \"checkbox\",\n    role: \"switch\",\n    \"class\": [_ctx.cx('input'), _ctx.inputClass],\n    style: _ctx.inputStyle,\n    checked: $options.checked,\n    tabindex: _ctx.tabindex,\n    disabled: _ctx.disabled,\n    readonly: _ctx.readonly,\n    \"aria-checked\": $options.checked,\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-label\": _ctx.ariaLabel,\n    \"aria-invalid\": _ctx.invalid || undefined,\n    onFocus: _cache[0] || (_cache[0] = function () {\n      return $options.onFocus && $options.onFocus.apply($options, arguments);\n    }),\n    onBlur: _cache[1] || (_cache[1] = function () {\n      return $options.onBlur && $options.onBlur.apply($options, arguments);\n    }),\n    onChange: _cache[2] || (_cache[2] = function () {\n      return $options.onChange && $options.onChange.apply($options, arguments);\n    })\n  }, $options.getPTOptions('input')), null, 16, _hoisted_2), createElementVNode(\"span\", mergeProps({\n    \"class\": _ctx.cx('slider')\n  }, $options.getPTOptions('slider')), null, 16)], 16, _hoisted_1);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-tag {\\n    display: inline-flex;\\n    align-items: center;\\n    justify-content: center;\\n    background: \".concat(dt('tag.primary.background'), \";\\n    color: \").concat(dt('tag.primary.color'), \";\\n    font-size: \").concat(dt('tag.font.size'), \";\\n    font-weight: \").concat(dt('tag.font.weight'), \";\\n    padding: \").concat(dt('tag.padding'), \";\\n    border-radius: \").concat(dt('tag.border.radius'), \";\\n    gap: \").concat(dt('tag.gap'), \";\\n}\\n\\n.p-tag-icon {\\n    font-size: \").concat(dt('tag.icon.size'), \";\\n    width: \").concat(dt('tag.icon.size'), \";\\n    height:\").concat(dt('tag.icon.size'), \";\\n}\\n\\n.p-tag-rounded {\\n    border-radius: \").concat(dt('tag.rounded.border.radius'), \";\\n}\\n\\n.p-tag-success {\\n    background: \").concat(dt('tag.success.background'), \";\\n    color: \").concat(dt('tag.success.color'), \";\\n}\\n\\n.p-tag-info {\\n    background: \").concat(dt('tag.info.background'), \";\\n    color: \").concat(dt('tag.info.color'), \";\\n}\\n\\n.p-tag-warn {\\n    background: \").concat(dt('tag.warn.background'), \";\\n    color: \").concat(dt('tag.warn.color'), \";\\n}\\n\\n.p-tag-danger {\\n    background: \").concat(dt('tag.danger.background'), \";\\n    color: \").concat(dt('tag.danger.color'), \";\\n}\\n\\n.p-tag-secondary {\\n    background: \").concat(dt('tag.secondary.background'), \";\\n    color: \").concat(dt('tag.secondary.color'), \";\\n}\\n\\n.p-tag-contrast {\\n    background: \").concat(dt('tag.contrast.background'), \";\\n    color: \").concat(dt('tag.contrast.color'), \";\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var props = _ref2.props;\n    return ['p-tag p-component', {\n      'p-tag-info': props.severity === 'info',\n      'p-tag-success': props.severity === 'success',\n      'p-tag-warn': props.severity === 'warn',\n      'p-tag-danger': props.severity === 'danger',\n      'p-tag-secondary': props.severity === 'secondary',\n      'p-tag-contrast': props.severity === 'contrast',\n      'p-tag-rounded': props.rounded\n    }];\n  },\n  icon: 'p-tag-icon',\n  label: 'p-tag-label'\n};\nvar TagStyle = BaseStyle.extend({\n  name: 'tag',\n  theme: theme,\n  classes: classes\n});\n\nexport { TagStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport TagStyle from 'primevue/tag/style';\nimport { openBlock, createElementBlock, mergeProps, createBlock, resolveDynamicComponent, createCommentVNode, renderSlot, createElementVNode, toDisplayString } from 'vue';\n\nvar script$1 = {\n  name: 'BaseTag',\n  \"extends\": BaseComponent,\n  props: {\n    value: null,\n    severity: null,\n    rounded: Boolean,\n    icon: String\n  },\n  style: TagStyle,\n  provide: function provide() {\n    return {\n      $pcTag: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'Tag',\n  \"extends\": script$1,\n  inheritAttrs: false\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"span\", mergeProps({\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root')), [_ctx.$slots.icon ? (openBlock(), createBlock(resolveDynamicComponent(_ctx.$slots.icon), mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('icon')\n  }, _ctx.ptm('icon')), null, 16, [\"class\"])) : _ctx.icon ? (openBlock(), createElementBlock(\"span\", mergeProps({\n    key: 1,\n    \"class\": [_ctx.cx('icon'), _ctx.icon]\n  }, _ctx.ptm('icon')), null, 16)) : createCommentVNode(\"\", true), _ctx.value != null || _ctx.$slots[\"default\"] ? renderSlot(_ctx.$slots, \"default\", {\n    key: 2\n  }, function () {\n    return [createElementVNode(\"span\", mergeProps({\n      \"class\": _ctx.cx('label')\n    }, _ctx.ptm('label')), toDisplayString(_ctx.value), 17)];\n  }) : createCommentVNode(\"\", true)], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <div ref=\"container\"></div>\n</template>\n\n<script setup lang=\"ts\">\nimport { ref, onMounted, watch } from 'vue'\n\nconst props = defineProps<{\n  renderFunction: () => HTMLElement\n}>()\n\nconst container = ref<HTMLElement | null>(null)\n\nfunction renderContent() {\n  if (container.value) {\n    container.value.innerHTML = ''\n    const element = props.renderFunction()\n    container.value.appendChild(element)\n  }\n}\n\nonMounted(renderContent)\n\nwatch(() => props.renderFunction, renderContent)\n</script>\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-slider {\\n    position: relative;\\n    background: \".concat(dt('slider.track.background'), \";\\n    border-radius: \").concat(dt('slider.border.radius'), \";\\n}\\n\\n.p-slider-handle {\\n    cursor: grab;\\n    touch-action: none;\\n    display: flex;\\n    justify-content: center;\\n    align-items: center;\\n    height: \").concat(dt('slider.handle.height'), \";\\n    width: \").concat(dt('slider.handle.width'), \";\\n    background: \").concat(dt('slider.handle.background'), \";\\n    border-radius: \").concat(dt('slider.handle.border.radius'), \";\\n    transition: background \").concat(dt('slider.transition.duration'), \", color \").concat(dt('slider.transition.duration'), \", border-color \").concat(dt('slider.transition.duration'), \", box-shadow \").concat(dt('slider.transition.duration'), \", outline-color \").concat(dt('slider.transition.duration'), \";\\n    outline-color: transparent;\\n}\\n\\n.p-slider-handle::before {\\n    content: \\\"\\\";\\n    width: \").concat(dt('slider.handle.content.width'), \";\\n    height: \").concat(dt('slider.handle.content.height'), \";\\n    display: block;\\n    background: \").concat(dt('slider.handle.content.background'), \";\\n    border-radius: \").concat(dt('slider.handle.content.border.radius'), \";\\n    box-shadow: \").concat(dt('slider.handle.content.shadow'), \";\\n    transition: background \").concat(dt('slider.transition.duration'), \";\\n}\\n\\n.p-slider:not(.p-disabled) .p-slider-handle:hover {\\n    background: \").concat(dt('slider.handle.hover.background'), \";\\n}\\n\\n.p-slider:not(.p-disabled) .p-slider-handle:hover::before {\\n    background: \").concat(dt('slider.handle.content.hover.background'), \";\\n}\\n\\n.p-slider-handle:focus-visible {\\n    border-color: \").concat(dt('slider.handle.focus.border.color'), \";\\n    box-shadow: \").concat(dt('slider.handle.focus.ring.shadow'), \";\\n    outline: \").concat(dt('slider.handle.focus.ring.width'), \" \").concat(dt('slider.handle.focus.ring.style'), \" \").concat(dt('slider.handle.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('slider.handle.focus.ring.offset'), \";\\n}\\n\\n.p-slider-range {\\n    display: block;\\n    background: \").concat(dt('slider.range.background'), \";\\n    border-radius: \").concat(dt('slider.border.radius'), \";\\n}\\n\\n.p-slider.p-slider-horizontal {\\n    height: \").concat(dt('slider.track.size'), \";\\n}\\n\\n.p-slider-horizontal .p-slider-range {\\n    top: 0;\\n    left: 0;\\n    height: 100%;\\n}\\n\\n.p-slider-horizontal .p-slider-handle {\\n    top: 50%;\\n    margin-top: calc(-1 * calc(\").concat(dt('slider.handle.height'), \" / 2));\\n    margin-left: calc(-1 * calc(\").concat(dt('slider.handle.width'), \" / 2));\\n}\\n\\n.p-slider-vertical {\\n    min-height: 100px;\\n    width: \").concat(dt('slider.track.size'), \";\\n}\\n\\n.p-slider-vertical .p-slider-handle {\\n    left: 50%;\\n    margin-left: calc(-1 * calc(\").concat(dt('slider.handle.width'), \" / 2));\\n    margin-bottom: calc(-1 * calc(\").concat(dt('slider.handle.height'), \" / 2));\\n}\\n\\n.p-slider-vertical .p-slider-range {\\n    bottom: 0;\\n    left: 0;\\n    width: 100%;\\n}\\n\");\n};\nvar inlineStyles = {\n  handle: {\n    position: 'absolute'\n  },\n  range: {\n    position: 'absolute'\n  }\n};\nvar classes = {\n  root: function root(_ref2) {\n    var props = _ref2.props;\n    return ['p-slider p-component', {\n      'p-disabled': props.disabled,\n      'p-slider-horizontal': props.orientation === 'horizontal',\n      'p-slider-vertical': props.orientation === 'vertical'\n    }];\n  },\n  range: 'p-slider-range',\n  handle: 'p-slider-handle'\n};\nvar SliderStyle = BaseStyle.extend({\n  name: 'slider',\n  theme: theme,\n  classes: classes,\n  inlineStyles: inlineStyles\n});\n\nexport { SliderStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { getWindowScrollLeft, getWindowScrollTop, getAttribute } from '@primeuix/utils/dom';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport SliderStyle from 'primevue/slider/style';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode, createCommentVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BaseSlider',\n  \"extends\": BaseComponent,\n  props: {\n    modelValue: [Number, Array],\n    min: {\n      type: Number,\n      \"default\": 0\n    },\n    max: {\n      type: Number,\n      \"default\": 100\n    },\n    orientation: {\n      type: String,\n      \"default\": 'horizontal'\n    },\n    step: {\n      type: Number,\n      \"default\": null\n    },\n    range: {\n      type: Boolean,\n      \"default\": false\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    tabindex: {\n      type: Number,\n      \"default\": 0\n    },\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: SliderStyle,\n  provide: function provide() {\n    return {\n      $pcSlider: this,\n      $parentInstance: this\n    };\n  }\n};\n\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar script = {\n  name: 'Slider',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue', 'change', 'slideend'],\n  dragging: false,\n  handleIndex: null,\n  initX: null,\n  initY: null,\n  barWidth: null,\n  barHeight: null,\n  dragListener: null,\n  dragEndListener: null,\n  beforeUnmount: function beforeUnmount() {\n    this.unbindDragListeners();\n  },\n  methods: {\n    updateDomData: function updateDomData() {\n      var rect = this.$el.getBoundingClientRect();\n      this.initX = rect.left + getWindowScrollLeft();\n      this.initY = rect.top + getWindowScrollTop();\n      this.barWidth = this.$el.offsetWidth;\n      this.barHeight = this.$el.offsetHeight;\n    },\n    setValue: function setValue(event) {\n      var handleValue;\n      var pageX = event.touches ? event.touches[0].pageX : event.pageX;\n      var pageY = event.touches ? event.touches[0].pageY : event.pageY;\n      if (this.orientation === 'horizontal') handleValue = (pageX - this.initX) * 100 / this.barWidth;else handleValue = (this.initY + this.barHeight - pageY) * 100 / this.barHeight;\n      var newValue = (this.max - this.min) * (handleValue / 100) + this.min;\n      if (this.step) {\n        var oldValue = this.range ? this.value[this.handleIndex] : this.value;\n        var diff = newValue - oldValue;\n        if (diff < 0) newValue = oldValue + Math.ceil(newValue / this.step - oldValue / this.step) * this.step;else if (diff > 0) newValue = oldValue + Math.floor(newValue / this.step - oldValue / this.step) * this.step;\n      } else {\n        newValue = Math.floor(newValue);\n      }\n      this.updateModel(event, newValue);\n    },\n    updateModel: function updateModel(event, value) {\n      var newValue = parseFloat(value.toFixed(10));\n      var modelValue;\n      if (this.range) {\n        modelValue = this.value ? _toConsumableArray(this.value) : [];\n        if (this.handleIndex == 0) {\n          if (newValue < this.min) newValue = this.min;else if (newValue >= this.max) newValue = this.max;\n          modelValue[0] = newValue;\n        } else {\n          if (newValue > this.max) newValue = this.max;else if (newValue <= this.min) newValue = this.min;\n          modelValue[1] = newValue;\n        }\n      } else {\n        if (newValue < this.min) newValue = this.min;else if (newValue > this.max) newValue = this.max;\n        modelValue = newValue;\n      }\n      this.$emit('update:modelValue', modelValue);\n      this.$emit('change', modelValue);\n    },\n    onDragStart: function onDragStart(event, index) {\n      if (this.disabled) {\n        return;\n      }\n      this.$el.setAttribute('data-p-sliding', true);\n      this.dragging = true;\n      this.updateDomData();\n      if (this.range && this.value[0] === this.max) {\n        this.handleIndex = 0;\n      } else {\n        this.handleIndex = index;\n      }\n      event.currentTarget.focus();\n      event.preventDefault();\n    },\n    onDrag: function onDrag(event) {\n      if (this.dragging) {\n        this.setValue(event);\n        event.preventDefault();\n      }\n    },\n    onDragEnd: function onDragEnd(event) {\n      if (this.dragging) {\n        this.dragging = false;\n        this.$el.setAttribute('data-p-sliding', false);\n        this.$emit('slideend', {\n          originalEvent: event,\n          value: this.value\n        });\n      }\n    },\n    onBarClick: function onBarClick(event) {\n      if (this.disabled) {\n        return;\n      }\n      if (getAttribute(event.target, 'data-pc-section') !== 'handle') {\n        this.updateDomData();\n        this.setValue(event);\n      }\n    },\n    onMouseDown: function onMouseDown(event, index) {\n      this.bindDragListeners();\n      this.onDragStart(event, index);\n    },\n    onKeyDown: function onKeyDown(event, index) {\n      this.handleIndex = index;\n      switch (event.code) {\n        case 'ArrowDown':\n        case 'ArrowLeft':\n          this.decrementValue(event, index);\n          event.preventDefault();\n          break;\n        case 'ArrowUp':\n        case 'ArrowRight':\n          this.incrementValue(event, index);\n          event.preventDefault();\n          break;\n        case 'PageDown':\n          this.decrementValue(event, index, true);\n          event.preventDefault();\n          break;\n        case 'PageUp':\n          this.incrementValue(event, index, true);\n          event.preventDefault();\n          break;\n        case 'Home':\n          this.updateModel(event, this.min);\n          event.preventDefault();\n          break;\n        case 'End':\n          this.updateModel(event, this.max);\n          event.preventDefault();\n          break;\n      }\n    },\n    decrementValue: function decrementValue(event, index) {\n      var pageKey = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false;\n      var newValue;\n      if (this.range) {\n        if (this.step) newValue = this.value[index] - this.step;else newValue = this.value[index] - 1;\n      } else {\n        if (this.step) newValue = this.value - this.step;else if (!this.step && pageKey) newValue = this.value - 10;else newValue = this.value - 1;\n      }\n      this.updateModel(event, newValue);\n      event.preventDefault();\n    },\n    incrementValue: function incrementValue(event, index) {\n      var pageKey = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false;\n      var newValue;\n      if (this.range) {\n        if (this.step) newValue = this.value[index] + this.step;else newValue = this.value[index] + 1;\n      } else {\n        if (this.step) newValue = this.value + this.step;else if (!this.step && pageKey) newValue = this.value + 10;else newValue = this.value + 1;\n      }\n      this.updateModel(event, newValue);\n      event.preventDefault();\n    },\n    bindDragListeners: function bindDragListeners() {\n      if (!this.dragListener) {\n        this.dragListener = this.onDrag.bind(this);\n        document.addEventListener('mousemove', this.dragListener);\n      }\n      if (!this.dragEndListener) {\n        this.dragEndListener = this.onDragEnd.bind(this);\n        document.addEventListener('mouseup', this.dragEndListener);\n      }\n    },\n    unbindDragListeners: function unbindDragListeners() {\n      if (this.dragListener) {\n        document.removeEventListener('mousemove', this.dragListener);\n        this.dragListener = null;\n      }\n      if (this.dragEndListener) {\n        document.removeEventListener('mouseup', this.dragEndListener);\n        this.dragEndListener = null;\n      }\n    }\n  },\n  computed: {\n    value: function value() {\n      var _this$modelValue3;\n      if (this.range) {\n        var _this$modelValue$, _this$modelValue, _this$modelValue$2, _this$modelValue2;\n        return [(_this$modelValue$ = (_this$modelValue = this.modelValue) === null || _this$modelValue === void 0 ? void 0 : _this$modelValue[0]) !== null && _this$modelValue$ !== void 0 ? _this$modelValue$ : this.min, (_this$modelValue$2 = (_this$modelValue2 = this.modelValue) === null || _this$modelValue2 === void 0 ? void 0 : _this$modelValue2[1]) !== null && _this$modelValue$2 !== void 0 ? _this$modelValue$2 : this.max];\n      }\n      return (_this$modelValue3 = this.modelValue) !== null && _this$modelValue3 !== void 0 ? _this$modelValue3 : this.min;\n    },\n    horizontal: function horizontal() {\n      return this.orientation === 'horizontal';\n    },\n    vertical: function vertical() {\n      return this.orientation === 'vertical';\n    },\n    rangeStyle: function rangeStyle() {\n      if (this.range) {\n        var rangeSliderWidth = this.rangeEndPosition > this.rangeStartPosition ? this.rangeEndPosition - this.rangeStartPosition : this.rangeStartPosition - this.rangeEndPosition;\n        var rangeSliderPosition = this.rangeEndPosition > this.rangeStartPosition ? this.rangeStartPosition : this.rangeEndPosition;\n        if (this.horizontal) return {\n          left: rangeSliderPosition + '%',\n          width: rangeSliderWidth + '%'\n        };else return {\n          bottom: rangeSliderPosition + '%',\n          height: rangeSliderWidth + '%'\n        };\n      } else {\n        if (this.horizontal) return {\n          width: this.handlePosition + '%'\n        };else return {\n          height: this.handlePosition + '%'\n        };\n      }\n    },\n    handleStyle: function handleStyle() {\n      if (this.horizontal) return {\n        left: this.handlePosition + '%'\n      };else return {\n        bottom: this.handlePosition + '%'\n      };\n    },\n    handlePosition: function handlePosition() {\n      if (this.value < this.min) return 0;else if (this.value > this.max) return 100;else return (this.value - this.min) * 100 / (this.max - this.min);\n    },\n    rangeStartPosition: function rangeStartPosition() {\n      if (this.value && this.value[0]) return (this.value[0] < this.min ? 0 : this.value[0] - this.min) * 100 / (this.max - this.min);else return 0;\n    },\n    rangeEndPosition: function rangeEndPosition() {\n      if (this.value && this.value.length === 2) return (this.value[1] > this.max ? 100 : this.value[1] - this.min) * 100 / (this.max - this.min);else return 100;\n    },\n    rangeStartHandleStyle: function rangeStartHandleStyle() {\n      if (this.horizontal) return {\n        left: this.rangeStartPosition + '%'\n      };else return {\n        bottom: this.rangeStartPosition + '%'\n      };\n    },\n    rangeEndHandleStyle: function rangeEndHandleStyle() {\n      if (this.horizontal) return {\n        left: this.rangeEndPosition + '%'\n      };else return {\n        bottom: this.rangeEndPosition + '%'\n      };\n    }\n  }\n};\n\nvar _hoisted_1 = [\"tabindex\", \"aria-valuemin\", \"aria-valuenow\", \"aria-valuemax\", \"aria-labelledby\", \"aria-label\", \"aria-orientation\"];\nvar _hoisted_2 = [\"tabindex\", \"aria-valuemin\", \"aria-valuenow\", \"aria-valuemax\", \"aria-labelledby\", \"aria-label\", \"aria-orientation\"];\nvar _hoisted_3 = [\"tabindex\", \"aria-valuemin\", \"aria-valuenow\", \"aria-valuemax\", \"aria-labelledby\", \"aria-label\", \"aria-orientation\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root'),\n    onClick: _cache[15] || (_cache[15] = function () {\n      return $options.onBarClick && $options.onBarClick.apply($options, arguments);\n    })\n  }, _ctx.ptmi('root'), {\n    \"data-p-sliding\": false\n  }), [createElementVNode(\"span\", mergeProps({\n    \"class\": _ctx.cx('range'),\n    style: [_ctx.sx('range'), $options.rangeStyle]\n  }, _ctx.ptm('range')), null, 16), !_ctx.range ? (openBlock(), createElementBlock(\"span\", mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('handle'),\n    style: [_ctx.sx('handle'), $options.handleStyle],\n    onTouchstartPassive: _cache[0] || (_cache[0] = function ($event) {\n      return $options.onDragStart($event);\n    }),\n    onTouchmovePassive: _cache[1] || (_cache[1] = function ($event) {\n      return $options.onDrag($event);\n    }),\n    onTouchend: _cache[2] || (_cache[2] = function ($event) {\n      return $options.onDragEnd($event);\n    }),\n    onMousedown: _cache[3] || (_cache[3] = function ($event) {\n      return $options.onMouseDown($event);\n    }),\n    onKeydown: _cache[4] || (_cache[4] = function ($event) {\n      return $options.onKeyDown($event);\n    }),\n    tabindex: _ctx.tabindex,\n    role: \"slider\",\n    \"aria-valuemin\": _ctx.min,\n    \"aria-valuenow\": _ctx.modelValue,\n    \"aria-valuemax\": _ctx.max,\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-label\": _ctx.ariaLabel,\n    \"aria-orientation\": _ctx.orientation\n  }, _ctx.ptm('handle')), null, 16, _hoisted_1)) : createCommentVNode(\"\", true), _ctx.range ? (openBlock(), createElementBlock(\"span\", mergeProps({\n    key: 1,\n    \"class\": _ctx.cx('handle'),\n    style: [_ctx.sx('handle'), $options.rangeStartHandleStyle],\n    onTouchstartPassive: _cache[5] || (_cache[5] = function ($event) {\n      return $options.onDragStart($event, 0);\n    }),\n    onTouchmovePassive: _cache[6] || (_cache[6] = function ($event) {\n      return $options.onDrag($event);\n    }),\n    onTouchend: _cache[7] || (_cache[7] = function ($event) {\n      return $options.onDragEnd($event);\n    }),\n    onMousedown: _cache[8] || (_cache[8] = function ($event) {\n      return $options.onMouseDown($event, 0);\n    }),\n    onKeydown: _cache[9] || (_cache[9] = function ($event) {\n      return $options.onKeyDown($event, 0);\n    }),\n    tabindex: _ctx.tabindex,\n    role: \"slider\",\n    \"aria-valuemin\": _ctx.min,\n    \"aria-valuenow\": _ctx.modelValue ? _ctx.modelValue[0] : null,\n    \"aria-valuemax\": _ctx.max,\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-label\": _ctx.ariaLabel,\n    \"aria-orientation\": _ctx.orientation\n  }, _ctx.ptm('startHandler')), null, 16, _hoisted_2)) : createCommentVNode(\"\", true), _ctx.range ? (openBlock(), createElementBlock(\"span\", mergeProps({\n    key: 2,\n    \"class\": _ctx.cx('handle'),\n    style: [_ctx.sx('handle'), $options.rangeEndHandleStyle],\n    onTouchstartPassive: _cache[10] || (_cache[10] = function ($event) {\n      return $options.onDragStart($event, 1);\n    }),\n    onTouchmovePassive: _cache[11] || (_cache[11] = function ($event) {\n      return $options.onDrag($event);\n    }),\n    onTouchend: _cache[12] || (_cache[12] = function ($event) {\n      return $options.onDragEnd($event);\n    }),\n    onMousedown: _cache[13] || (_cache[13] = function ($event) {\n      return $options.onMouseDown($event, 1);\n    }),\n    onKeydown: _cache[14] || (_cache[14] = function ($event) {\n      return $options.onKeyDown($event, 1);\n    }),\n    tabindex: _ctx.tabindex,\n    role: \"slider\",\n    \"aria-valuemin\": _ctx.min,\n    \"aria-valuenow\": _ctx.modelValue ? _ctx.modelValue[1] : null,\n    \"aria-valuemax\": _ctx.max,\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-label\": _ctx.ariaLabel,\n    \"aria-orientation\": _ctx.orientation\n  }, _ctx.ptm('endHandler')), null, 16, _hoisted_3)) : createCommentVNode(\"\", true)], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <div class=\"input-slider\">\n    <Slider\n      :modelValue=\"modelValue\"\n      @update:modelValue=\"updateValue\"\n      class=\"slider-part\"\n      :class=\"sliderClass\"\n      :min=\"min\"\n      :max=\"max\"\n      :step=\"step\"\n    />\n    <InputNumber\n      :modelValue=\"modelValue\"\n      @update:modelValue=\"updateValue\"\n      class=\"input-part\"\n      :class=\"inputClass\"\n      :min=\"min\"\n      :max=\"max\"\n      :step=\"step\"\n    />\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { ref, watch } from 'vue'\nimport InputNumber from 'primevue/inputnumber'\nimport Slider from 'primevue/slider'\n\nconst props = defineProps<{\n  modelValue: number\n  inputClass?: string\n  sliderClass?: string\n  min?: number\n  max?: number\n  step?: number\n}>()\n\nconst emit = defineEmits<{\n  (e: 'update:modelValue', value: number): void\n}>()\n\nconst localValue = ref(props.modelValue)\n\nwatch(\n  () => props.modelValue,\n  (newValue) => {\n    localValue.value = newValue\n  }\n)\n\nconst updateValue = (newValue: number | null) => {\n  if (newValue === null) {\n    // If the input is cleared, reset to the minimum value or 0\n    newValue = Number(props.min) || 0\n  }\n\n  const min = Number(props.min) || Number.NEGATIVE_INFINITY\n  const max = Number(props.max) || Number.POSITIVE_INFINITY\n  const step = Number(props.step) || 1\n\n  // Ensure the value is within the allowed range\n  newValue = Math.max(min, Math.min(max, newValue))\n\n  // Round to the nearest step\n  newValue = Math.round(newValue / step) * step\n\n  // Update local value and emit change\n  localValue.value = newValue\n  emit('update:modelValue', newValue)\n}\n</script>\n\n<style scoped>\n.input-slider {\n  display: flex;\n  align-items: center;\n  gap: 1rem;\n}\n\n.slider-part {\n  flex-grow: 1;\n}\n\n.input-part {\n  width: 5rem !important;\n}\n</style>\n","export function formatCamelCase(str: string): string {\n  // Check if the string is camel case\n  const isCamelCase = /^([A-Z][a-z]*)+$/.test(str)\n\n  if (!isCamelCase) {\n    return str // Return original string if not camel case\n  }\n\n  // Split the string into words, keeping acronyms together\n  const words = str.split(/(?=[A-Z][a-z])|\\d+/)\n\n  // Process each word\n  const processedWords = words.map((word) => {\n    // If the word is all uppercase and longer than one character, it's likely an acronym\n    if (word.length > 1 && word === word.toUpperCase()) {\n      return word // Keep acronyms as is\n    }\n    // For other words, ensure the first letter is capitalized\n    return word.charAt(0).toUpperCase() + word.slice(1)\n  })\n\n  // Join the words with spaces\n  return processedWords.join(' ')\n}\n","<template>\n  <div class=\"setting-group\">\n    <Divider v-if=\"divider\" />\n    <h3>{{ formatCamelCase(group.label) }}</h3>\n    <div\n      v-for=\"setting in group.settings\"\n      :key=\"setting.id\"\n      class=\"setting-item\"\n    >\n      <div class=\"setting-label\">\n        <span>\n          <Tag v-if=\"setting.experimental\" :value=\"$t('experimental')\" />\n          {{ setting.name }}\n          <i\n            v-if=\"setting.tooltip\"\n            class=\"pi pi-info-circle info-chip\"\n            v-tooltip=\"setting.tooltip\"\n        /></span>\n      </div>\n      <div class=\"setting-input\">\n        <component\n          :is=\"markRaw(getSettingComponent(setting))\"\n          :id=\"setting.id\"\n          :modelValue=\"settingStore.get(setting.id)\"\n          @update:modelValue=\"updateSetting(setting, $event)\"\n          v-bind=\"getSettingAttrs(setting)\"\n        />\n      </div>\n    </div>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { useSettingStore } from '@/stores/settingStore'\nimport { SettingParams } from '@/types/settingTypes'\nimport { markRaw, type Component } from 'vue'\nimport InputText from 'primevue/inputtext'\nimport InputNumber from 'primevue/inputnumber'\nimport Select from 'primevue/select'\nimport ToggleSwitch from 'primevue/toggleswitch'\nimport Divider from 'primevue/divider'\nimport Tag from 'primevue/tag'\nimport CustomSettingValue from '@/components/dialog/content/setting/CustomSettingValue.vue'\nimport InputSlider from '@/components/dialog/content/setting/InputSlider.vue'\nimport { formatCamelCase } from '@/utils/formatUtil'\n\ndefineProps<{\n  group: {\n    label: string\n    settings: SettingParams[]\n  }\n  divider?: boolean\n}>()\n\nconst settingStore = useSettingStore()\n\nfunction getSettingAttrs(setting: SettingParams) {\n  const attrs = { ...(setting.attrs || {}) }\n  const settingType = setting.type\n  if (typeof settingType === 'function') {\n    attrs['renderFunction'] = () =>\n      settingType(\n        setting.name,\n        (v) => updateSetting(setting, v),\n        settingStore.get(setting.id),\n        setting.attrs\n      )\n  }\n  switch (setting.type) {\n    case 'combo':\n      attrs['options'] =\n        typeof setting.options === 'function'\n          ? setting.options(settingStore.get(setting.id))\n          : setting.options\n      if (typeof setting.options[0] !== 'string') {\n        attrs['optionLabel'] = 'text'\n        attrs['optionValue'] = 'value'\n      }\n      break\n  }\n  return attrs\n}\n\nconst updateSetting = (setting: SettingParams, value: any) => {\n  if (setting.onChange) setting.onChange(value, settingStore.get(setting.id))\n  settingStore.set(setting.id, value)\n}\n\nfunction getSettingComponent(setting: SettingParams): Component {\n  if (typeof setting.type === 'function') {\n    return CustomSettingValue\n  }\n  switch (setting.type) {\n    case 'boolean':\n      return ToggleSwitch\n    case 'number':\n      return InputNumber\n    case 'slider':\n      return InputSlider\n    case 'combo':\n      return Select\n    default:\n      return InputText\n  }\n}\n</script>\n\n<style scoped>\n.info-chip {\n  background: transparent;\n}\n\n.setting-item {\n  display: flex;\n  justify-content: space-between;\n  align-items: center;\n  margin-bottom: 1rem;\n}\n\n.setting-label {\n  display: flex;\n  align-items: center;\n  flex: 1;\n}\n\n.setting-input {\n  flex: 1;\n  display: flex;\n  justify-content: flex-end;\n  margin-left: 1rem;\n}\n\n/* Ensure PrimeVue components take full width of their container */\n.setting-input :deep(.p-inputtext),\n.setting-input :deep(.input-slider),\n.setting-input :deep(.p-select),\n.setting-input :deep(.p-togglebutton) {\n  width: 100%;\n  max-width: 200px;\n}\n\n.setting-input :deep(.p-inputtext) {\n  max-width: unset;\n}\n\n/* Special case for ToggleSwitch to align it to the right */\n.setting-input :deep(.p-toggleswitch) {\n  margin-left: auto;\n}\n</style>\n","/**\n * @license\n * Lodash <https://lodash.com/>\n * Copyright OpenJS Foundation and other contributors <https://openjsf.org/>\n * Released under MIT license <https://lodash.com/license>\n * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>\n * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n */\n;(function() {\n\n  /** Used as a safe reference for `undefined` in pre-ES5 environments. */\n  var undefined;\n\n  /** Used as the semantic version number. */\n  var VERSION = '4.17.21';\n\n  /** Used as the size to enable large array optimizations. */\n  var LARGE_ARRAY_SIZE = 200;\n\n  /** Error message constants. */\n  var CORE_ERROR_TEXT = 'Unsupported core-js use. Try https://npms.io/search?q=ponyfill.',\n      FUNC_ERROR_TEXT = 'Expected a function',\n      INVALID_TEMPL_VAR_ERROR_TEXT = 'Invalid `variable` option passed into `_.template`';\n\n  /** Used to stand-in for `undefined` hash values. */\n  var HASH_UNDEFINED = '__lodash_hash_undefined__';\n\n  /** Used as the maximum memoize cache size. */\n  var MAX_MEMOIZE_SIZE = 500;\n\n  /** Used as the internal argument placeholder. */\n  var PLACEHOLDER = '__lodash_placeholder__';\n\n  /** Used to compose bitmasks for cloning. */\n  var CLONE_DEEP_FLAG = 1,\n      CLONE_FLAT_FLAG = 2,\n      CLONE_SYMBOLS_FLAG = 4;\n\n  /** Used to compose bitmasks for value comparisons. */\n  var COMPARE_PARTIAL_FLAG = 1,\n      COMPARE_UNORDERED_FLAG = 2;\n\n  /** Used to compose bitmasks for function metadata. */\n  var WRAP_BIND_FLAG = 1,\n      WRAP_BIND_KEY_FLAG = 2,\n      WRAP_CURRY_BOUND_FLAG = 4,\n      WRAP_CURRY_FLAG = 8,\n      WRAP_CURRY_RIGHT_FLAG = 16,\n      WRAP_PARTIAL_FLAG = 32,\n      WRAP_PARTIAL_RIGHT_FLAG = 64,\n      WRAP_ARY_FLAG = 128,\n      WRAP_REARG_FLAG = 256,\n      WRAP_FLIP_FLAG = 512;\n\n  /** Used as default options for `_.truncate`. */\n  var DEFAULT_TRUNC_LENGTH = 30,\n      DEFAULT_TRUNC_OMISSION = '...';\n\n  /** Used to detect hot functions by number of calls within a span of milliseconds. */\n  var HOT_COUNT = 800,\n      HOT_SPAN = 16;\n\n  /** Used to indicate the type of lazy iteratees. */\n  var LAZY_FILTER_FLAG = 1,\n      LAZY_MAP_FLAG = 2,\n      LAZY_WHILE_FLAG = 3;\n\n  /** Used as references for various `Number` constants. */\n  var INFINITY = 1 / 0,\n      MAX_SAFE_INTEGER = 9007199254740991,\n      MAX_INTEGER = 1.7976931348623157e+308,\n      NAN = 0 / 0;\n\n  /** Used as references for the maximum length and index of an array. */\n  var MAX_ARRAY_LENGTH = 4294967295,\n      MAX_ARRAY_INDEX = MAX_ARRAY_LENGTH - 1,\n      HALF_MAX_ARRAY_LENGTH = MAX_ARRAY_LENGTH >>> 1;\n\n  /** Used to associate wrap methods with their bit flags. */\n  var wrapFlags = [\n    ['ary', WRAP_ARY_FLAG],\n    ['bind', WRAP_BIND_FLAG],\n    ['bindKey', WRAP_BIND_KEY_FLAG],\n    ['curry', WRAP_CURRY_FLAG],\n    ['curryRight', WRAP_CURRY_RIGHT_FLAG],\n    ['flip', WRAP_FLIP_FLAG],\n    ['partial', WRAP_PARTIAL_FLAG],\n    ['partialRight', WRAP_PARTIAL_RIGHT_FLAG],\n    ['rearg', WRAP_REARG_FLAG]\n  ];\n\n  /** `Object#toString` result references. */\n  var argsTag = '[object Arguments]',\n      arrayTag = '[object Array]',\n      asyncTag = '[object AsyncFunction]',\n      boolTag = '[object Boolean]',\n      dateTag = '[object Date]',\n      domExcTag = '[object DOMException]',\n      errorTag = '[object Error]',\n      funcTag = '[object Function]',\n      genTag = '[object GeneratorFunction]',\n      mapTag = '[object Map]',\n      numberTag = '[object Number]',\n      nullTag = '[object Null]',\n      objectTag = '[object Object]',\n      promiseTag = '[object Promise]',\n      proxyTag = '[object Proxy]',\n      regexpTag = '[object RegExp]',\n      setTag = '[object Set]',\n      stringTag = '[object String]',\n      symbolTag = '[object Symbol]',\n      undefinedTag = '[object Undefined]',\n      weakMapTag = '[object WeakMap]',\n      weakSetTag = '[object WeakSet]';\n\n  var arrayBufferTag = '[object ArrayBuffer]',\n      dataViewTag = '[object DataView]',\n      float32Tag = '[object Float32Array]',\n      float64Tag = '[object Float64Array]',\n      int8Tag = '[object Int8Array]',\n      int16Tag = '[object Int16Array]',\n      int32Tag = '[object Int32Array]',\n      uint8Tag = '[object Uint8Array]',\n      uint8ClampedTag = '[object Uint8ClampedArray]',\n      uint16Tag = '[object Uint16Array]',\n      uint32Tag = '[object Uint32Array]';\n\n  /** Used to match empty string literals in compiled template source. */\n  var reEmptyStringLeading = /\\b__p \\+= '';/g,\n      reEmptyStringMiddle = /\\b(__p \\+=) '' \\+/g,\n      reEmptyStringTrailing = /(__e\\(.*?\\)|\\b__t\\)) \\+\\n'';/g;\n\n  /** Used to match HTML entities and HTML characters. */\n  var reEscapedHtml = /&(?:amp|lt|gt|quot|#39);/g,\n      reUnescapedHtml = /[&<>\"']/g,\n      reHasEscapedHtml = RegExp(reEscapedHtml.source),\n      reHasUnescapedHtml = RegExp(reUnescapedHtml.source);\n\n  /** Used to match template delimiters. */\n  var reEscape = /<%-([\\s\\S]+?)%>/g,\n      reEvaluate = /<%([\\s\\S]+?)%>/g,\n      reInterpolate = /<%=([\\s\\S]+?)%>/g;\n\n  /** Used to match property names within property paths. */\n  var reIsDeepProp = /\\.|\\[(?:[^[\\]]*|([\"'])(?:(?!\\1)[^\\\\]|\\\\.)*?\\1)\\]/,\n      reIsPlainProp = /^\\w*$/,\n      rePropName = /[^.[\\]]+|\\[(?:(-?\\d+(?:\\.\\d+)?)|([\"'])((?:(?!\\2)[^\\\\]|\\\\.)*?)\\2)\\]|(?=(?:\\.|\\[\\])(?:\\.|\\[\\]|$))/g;\n\n  /**\n   * Used to match `RegExp`\n   * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns).\n   */\n  var reRegExpChar = /[\\\\^$.*+?()[\\]{}|]/g,\n      reHasRegExpChar = RegExp(reRegExpChar.source);\n\n  /** Used to match leading whitespace. */\n  var reTrimStart = /^\\s+/;\n\n  /** Used to match a single whitespace character. */\n  var reWhitespace = /\\s/;\n\n  /** Used to match wrap detail comments. */\n  var reWrapComment = /\\{(?:\\n\\/\\* \\[wrapped with .+\\] \\*\\/)?\\n?/,\n      reWrapDetails = /\\{\\n\\/\\* \\[wrapped with (.+)\\] \\*/,\n      reSplitDetails = /,? & /;\n\n  /** Used to match words composed of alphanumeric characters. */\n  var reAsciiWord = /[^\\x00-\\x2f\\x3a-\\x40\\x5b-\\x60\\x7b-\\x7f]+/g;\n\n  /**\n   * Used to validate the `validate` option in `_.template` variable.\n   *\n   * Forbids characters which could potentially change the meaning of the function argument definition:\n   * - \"(),\" (modification of function parameters)\n   * - \"=\" (default value)\n   * - \"[]{}\" (destructuring of function parameters)\n   * - \"/\" (beginning of a comment)\n   * - whitespace\n   */\n  var reForbiddenIdentifierChars = /[()=,{}\\[\\]\\/\\s]/;\n\n  /** Used to match backslashes in property paths. */\n  var reEscapeChar = /\\\\(\\\\)?/g;\n\n  /**\n   * Used to match\n   * [ES template delimiters](http://ecma-international.org/ecma-262/7.0/#sec-template-literal-lexical-components).\n   */\n  var reEsTemplate = /\\$\\{([^\\\\}]*(?:\\\\.[^\\\\}]*)*)\\}/g;\n\n  /** Used to match `RegExp` flags from their coerced string values. */\n  var reFlags = /\\w*$/;\n\n  /** Used to detect bad signed hexadecimal string values. */\n  var reIsBadHex = /^[-+]0x[0-9a-f]+$/i;\n\n  /** Used to detect binary string values. */\n  var reIsBinary = /^0b[01]+$/i;\n\n  /** Used to detect host constructors (Safari). */\n  var reIsHostCtor = /^\\[object .+?Constructor\\]$/;\n\n  /** Used to detect octal string values. */\n  var reIsOctal = /^0o[0-7]+$/i;\n\n  /** Used to detect unsigned integer values. */\n  var reIsUint = /^(?:0|[1-9]\\d*)$/;\n\n  /** Used to match Latin Unicode letters (excluding mathematical operators). */\n  var reLatin = /[\\xc0-\\xd6\\xd8-\\xf6\\xf8-\\xff\\u0100-\\u017f]/g;\n\n  /** Used to ensure capturing order of template delimiters. */\n  var reNoMatch = /($^)/;\n\n  /** Used to match unescaped characters in compiled string literals. */\n  var reUnescapedString = /['\\n\\r\\u2028\\u2029\\\\]/g;\n\n  /** Used to compose unicode character classes. */\n  var rsAstralRange = '\\\\ud800-\\\\udfff',\n      rsComboMarksRange = '\\\\u0300-\\\\u036f',\n      reComboHalfMarksRange = '\\\\ufe20-\\\\ufe2f',\n      rsComboSymbolsRange = '\\\\u20d0-\\\\u20ff',\n      rsComboRange = rsComboMarksRange + reComboHalfMarksRange + rsComboSymbolsRange,\n      rsDingbatRange = '\\\\u2700-\\\\u27bf',\n      rsLowerRange = 'a-z\\\\xdf-\\\\xf6\\\\xf8-\\\\xff',\n      rsMathOpRange = '\\\\xac\\\\xb1\\\\xd7\\\\xf7',\n      rsNonCharRange = '\\\\x00-\\\\x2f\\\\x3a-\\\\x40\\\\x5b-\\\\x60\\\\x7b-\\\\xbf',\n      rsPunctuationRange = '\\\\u2000-\\\\u206f',\n      rsSpaceRange = ' \\\\t\\\\x0b\\\\f\\\\xa0\\\\ufeff\\\\n\\\\r\\\\u2028\\\\u2029\\\\u1680\\\\u180e\\\\u2000\\\\u2001\\\\u2002\\\\u2003\\\\u2004\\\\u2005\\\\u2006\\\\u2007\\\\u2008\\\\u2009\\\\u200a\\\\u202f\\\\u205f\\\\u3000',\n      rsUpperRange = 'A-Z\\\\xc0-\\\\xd6\\\\xd8-\\\\xde',\n      rsVarRange = '\\\\ufe0e\\\\ufe0f',\n      rsBreakRange = rsMathOpRange + rsNonCharRange + rsPunctuationRange + rsSpaceRange;\n\n  /** Used to compose unicode capture groups. */\n  var rsApos = \"['\\u2019]\",\n      rsAstral = '[' + rsAstralRange + ']',\n      rsBreak = '[' + rsBreakRange + ']',\n      rsCombo = '[' + rsComboRange + ']',\n      rsDigits = '\\\\d+',\n      rsDingbat = '[' + rsDingbatRange + ']',\n      rsLower = '[' + rsLowerRange + ']',\n      rsMisc = '[^' + rsAstralRange + rsBreakRange + rsDigits + rsDingbatRange + rsLowerRange + rsUpperRange + ']',\n      rsFitz = '\\\\ud83c[\\\\udffb-\\\\udfff]',\n      rsModifier = '(?:' + rsCombo + '|' + rsFitz + ')',\n      rsNonAstral = '[^' + rsAstralRange + ']',\n      rsRegional = '(?:\\\\ud83c[\\\\udde6-\\\\uddff]){2}',\n      rsSurrPair = '[\\\\ud800-\\\\udbff][\\\\udc00-\\\\udfff]',\n      rsUpper = '[' + rsUpperRange + ']',\n      rsZWJ = '\\\\u200d';\n\n  /** Used to compose unicode regexes. */\n  var rsMiscLower = '(?:' + rsLower + '|' + rsMisc + ')',\n      rsMiscUpper = '(?:' + rsUpper + '|' + rsMisc + ')',\n      rsOptContrLower = '(?:' + rsApos + '(?:d|ll|m|re|s|t|ve))?',\n      rsOptContrUpper = '(?:' + rsApos + '(?:D|LL|M|RE|S|T|VE))?',\n      reOptMod = rsModifier + '?',\n      rsOptVar = '[' + rsVarRange + ']?',\n      rsOptJoin = '(?:' + rsZWJ + '(?:' + [rsNonAstral, rsRegional, rsSurrPair].join('|') + ')' + rsOptVar + reOptMod + ')*',\n      rsOrdLower = '\\\\d*(?:1st|2nd|3rd|(?![123])\\\\dth)(?=\\\\b|[A-Z_])',\n      rsOrdUpper = '\\\\d*(?:1ST|2ND|3RD|(?![123])\\\\dTH)(?=\\\\b|[a-z_])',\n      rsSeq = rsOptVar + reOptMod + rsOptJoin,\n      rsEmoji = '(?:' + [rsDingbat, rsRegional, rsSurrPair].join('|') + ')' + rsSeq,\n      rsSymbol = '(?:' + [rsNonAstral + rsCombo + '?', rsCombo, rsRegional, rsSurrPair, rsAstral].join('|') + ')';\n\n  /** Used to match apostrophes. */\n  var reApos = RegExp(rsApos, 'g');\n\n  /**\n   * Used to match [combining diacritical marks](https://en.wikipedia.org/wiki/Combining_Diacritical_Marks) and\n   * [combining diacritical marks for symbols](https://en.wikipedia.org/wiki/Combining_Diacritical_Marks_for_Symbols).\n   */\n  var reComboMark = RegExp(rsCombo, 'g');\n\n  /** Used to match [string symbols](https://mathiasbynens.be/notes/javascript-unicode). */\n  var reUnicode = RegExp(rsFitz + '(?=' + rsFitz + ')|' + rsSymbol + rsSeq, 'g');\n\n  /** Used to match complex or compound words. */\n  var reUnicodeWord = RegExp([\n    rsUpper + '?' + rsLower + '+' + rsOptContrLower + '(?=' + [rsBreak, rsUpper, '$'].join('|') + ')',\n    rsMiscUpper + '+' + rsOptContrUpper + '(?=' + [rsBreak, rsUpper + rsMiscLower, '$'].join('|') + ')',\n    rsUpper + '?' + rsMiscLower + '+' + rsOptContrLower,\n    rsUpper + '+' + rsOptContrUpper,\n    rsOrdUpper,\n    rsOrdLower,\n    rsDigits,\n    rsEmoji\n  ].join('|'), 'g');\n\n  /** Used to detect strings with [zero-width joiners or code points from the astral planes](http://eev.ee/blog/2015/09/12/dark-corners-of-unicode/). */\n  var reHasUnicode = RegExp('[' + rsZWJ + rsAstralRange  + rsComboRange + rsVarRange + ']');\n\n  /** Used to detect strings that need a more robust regexp to match words. */\n  var reHasUnicodeWord = /[a-z][A-Z]|[A-Z]{2}[a-z]|[0-9][a-zA-Z]|[a-zA-Z][0-9]|[^a-zA-Z0-9 ]/;\n\n  /** Used to assign default `context` object properties. */\n  var contextProps = [\n    'Array', 'Buffer', 'DataView', 'Date', 'Error', 'Float32Array', 'Float64Array',\n    'Function', 'Int8Array', 'Int16Array', 'Int32Array', 'Map', 'Math', 'Object',\n    'Promise', 'RegExp', 'Set', 'String', 'Symbol', 'TypeError', 'Uint8Array',\n    'Uint8ClampedArray', 'Uint16Array', 'Uint32Array', 'WeakMap',\n    '_', 'clearTimeout', 'isFinite', 'parseInt', 'setTimeout'\n  ];\n\n  /** Used to make template sourceURLs easier to identify. */\n  var templateCounter = -1;\n\n  /** Used to identify `toStringTag` values of typed arrays. */\n  var typedArrayTags = {};\n  typedArrayTags[float32Tag] = typedArrayTags[float64Tag] =\n  typedArrayTags[int8Tag] = typedArrayTags[int16Tag] =\n  typedArrayTags[int32Tag] = typedArrayTags[uint8Tag] =\n  typedArrayTags[uint8ClampedTag] = typedArrayTags[uint16Tag] =\n  typedArrayTags[uint32Tag] = true;\n  typedArrayTags[argsTag] = typedArrayTags[arrayTag] =\n  typedArrayTags[arrayBufferTag] = typedArrayTags[boolTag] =\n  typedArrayTags[dataViewTag] = typedArrayTags[dateTag] =\n  typedArrayTags[errorTag] = typedArrayTags[funcTag] =\n  typedArrayTags[mapTag] = typedArrayTags[numberTag] =\n  typedArrayTags[objectTag] = typedArrayTags[regexpTag] =\n  typedArrayTags[setTag] = typedArrayTags[stringTag] =\n  typedArrayTags[weakMapTag] = false;\n\n  /** Used to identify `toStringTag` values supported by `_.clone`. */\n  var cloneableTags = {};\n  cloneableTags[argsTag] = cloneableTags[arrayTag] =\n  cloneableTags[arrayBufferTag] = cloneableTags[dataViewTag] =\n  cloneableTags[boolTag] = cloneableTags[dateTag] =\n  cloneableTags[float32Tag] = cloneableTags[float64Tag] =\n  cloneableTags[int8Tag] = cloneableTags[int16Tag] =\n  cloneableTags[int32Tag] = cloneableTags[mapTag] =\n  cloneableTags[numberTag] = cloneableTags[objectTag] =\n  cloneableTags[regexpTag] = cloneableTags[setTag] =\n  cloneableTags[stringTag] = cloneableTags[symbolTag] =\n  cloneableTags[uint8Tag] = cloneableTags[uint8ClampedTag] =\n  cloneableTags[uint16Tag] = cloneableTags[uint32Tag] = true;\n  cloneableTags[errorTag] = cloneableTags[funcTag] =\n  cloneableTags[weakMapTag] = false;\n\n  /** Used to map Latin Unicode letters to basic Latin letters. */\n  var deburredLetters = {\n    // Latin-1 Supplement block.\n    '\\xc0': 'A',  '\\xc1': 'A', '\\xc2': 'A', '\\xc3': 'A', '\\xc4': 'A', '\\xc5': 'A',\n    '\\xe0': 'a',  '\\xe1': 'a', '\\xe2': 'a', '\\xe3': 'a', '\\xe4': 'a', '\\xe5': 'a',\n    '\\xc7': 'C',  '\\xe7': 'c',\n    '\\xd0': 'D',  '\\xf0': 'd',\n    '\\xc8': 'E',  '\\xc9': 'E', '\\xca': 'E', '\\xcb': 'E',\n    '\\xe8': 'e',  '\\xe9': 'e', '\\xea': 'e', '\\xeb': 'e',\n    '\\xcc': 'I',  '\\xcd': 'I', '\\xce': 'I', '\\xcf': 'I',\n    '\\xec': 'i',  '\\xed': 'i', '\\xee': 'i', '\\xef': 'i',\n    '\\xd1': 'N',  '\\xf1': 'n',\n    '\\xd2': 'O',  '\\xd3': 'O', '\\xd4': 'O', '\\xd5': 'O', '\\xd6': 'O', '\\xd8': 'O',\n    '\\xf2': 'o',  '\\xf3': 'o', '\\xf4': 'o', '\\xf5': 'o', '\\xf6': 'o', '\\xf8': 'o',\n    '\\xd9': 'U',  '\\xda': 'U', '\\xdb': 'U', '\\xdc': 'U',\n    '\\xf9': 'u',  '\\xfa': 'u', '\\xfb': 'u', '\\xfc': 'u',\n    '\\xdd': 'Y',  '\\xfd': 'y', '\\xff': 'y',\n    '\\xc6': 'Ae', '\\xe6': 'ae',\n    '\\xde': 'Th', '\\xfe': 'th',\n    '\\xdf': 'ss',\n    // Latin Extended-A block.\n    '\\u0100': 'A',  '\\u0102': 'A', '\\u0104': 'A',\n    '\\u0101': 'a',  '\\u0103': 'a', '\\u0105': 'a',\n    '\\u0106': 'C',  '\\u0108': 'C', '\\u010a': 'C', '\\u010c': 'C',\n    '\\u0107': 'c',  '\\u0109': 'c', '\\u010b': 'c', '\\u010d': 'c',\n    '\\u010e': 'D',  '\\u0110': 'D', '\\u010f': 'd', '\\u0111': 'd',\n    '\\u0112': 'E',  '\\u0114': 'E', '\\u0116': 'E', '\\u0118': 'E', '\\u011a': 'E',\n    '\\u0113': 'e',  '\\u0115': 'e', '\\u0117': 'e', '\\u0119': 'e', '\\u011b': 'e',\n    '\\u011c': 'G',  '\\u011e': 'G', '\\u0120': 'G', '\\u0122': 'G',\n    '\\u011d': 'g',  '\\u011f': 'g', '\\u0121': 'g', '\\u0123': 'g',\n    '\\u0124': 'H',  '\\u0126': 'H', '\\u0125': 'h', '\\u0127': 'h',\n    '\\u0128': 'I',  '\\u012a': 'I', '\\u012c': 'I', '\\u012e': 'I', '\\u0130': 'I',\n    '\\u0129': 'i',  '\\u012b': 'i', '\\u012d': 'i', '\\u012f': 'i', '\\u0131': 'i',\n    '\\u0134': 'J',  '\\u0135': 'j',\n    '\\u0136': 'K',  '\\u0137': 'k', '\\u0138': 'k',\n    '\\u0139': 'L',  '\\u013b': 'L', '\\u013d': 'L', '\\u013f': 'L', '\\u0141': 'L',\n    '\\u013a': 'l',  '\\u013c': 'l', '\\u013e': 'l', '\\u0140': 'l', '\\u0142': 'l',\n    '\\u0143': 'N',  '\\u0145': 'N', '\\u0147': 'N', '\\u014a': 'N',\n    '\\u0144': 'n',  '\\u0146': 'n', '\\u0148': 'n', '\\u014b': 'n',\n    '\\u014c': 'O',  '\\u014e': 'O', '\\u0150': 'O',\n    '\\u014d': 'o',  '\\u014f': 'o', '\\u0151': 'o',\n    '\\u0154': 'R',  '\\u0156': 'R', '\\u0158': 'R',\n    '\\u0155': 'r',  '\\u0157': 'r', '\\u0159': 'r',\n    '\\u015a': 'S',  '\\u015c': 'S', '\\u015e': 'S', '\\u0160': 'S',\n    '\\u015b': 's',  '\\u015d': 's', '\\u015f': 's', '\\u0161': 's',\n    '\\u0162': 'T',  '\\u0164': 'T', '\\u0166': 'T',\n    '\\u0163': 't',  '\\u0165': 't', '\\u0167': 't',\n    '\\u0168': 'U',  '\\u016a': 'U', '\\u016c': 'U', '\\u016e': 'U', '\\u0170': 'U', '\\u0172': 'U',\n    '\\u0169': 'u',  '\\u016b': 'u', '\\u016d': 'u', '\\u016f': 'u', '\\u0171': 'u', '\\u0173': 'u',\n    '\\u0174': 'W',  '\\u0175': 'w',\n    '\\u0176': 'Y',  '\\u0177': 'y', '\\u0178': 'Y',\n    '\\u0179': 'Z',  '\\u017b': 'Z', '\\u017d': 'Z',\n    '\\u017a': 'z',  '\\u017c': 'z', '\\u017e': 'z',\n    '\\u0132': 'IJ', '\\u0133': 'ij',\n    '\\u0152': 'Oe', '\\u0153': 'oe',\n    '\\u0149': \"'n\", '\\u017f': 's'\n  };\n\n  /** Used to map characters to HTML entities. */\n  var htmlEscapes = {\n    '&': '&amp;',\n    '<': '&lt;',\n    '>': '&gt;',\n    '\"': '&quot;',\n    \"'\": '&#39;'\n  };\n\n  /** Used to map HTML entities to characters. */\n  var htmlUnescapes = {\n    '&amp;': '&',\n    '&lt;': '<',\n    '&gt;': '>',\n    '&quot;': '\"',\n    '&#39;': \"'\"\n  };\n\n  /** Used to escape characters for inclusion in compiled string literals. */\n  var stringEscapes = {\n    '\\\\': '\\\\',\n    \"'\": \"'\",\n    '\\n': 'n',\n    '\\r': 'r',\n    '\\u2028': 'u2028',\n    '\\u2029': 'u2029'\n  };\n\n  /** Built-in method references without a dependency on `root`. */\n  var freeParseFloat = parseFloat,\n      freeParseInt = parseInt;\n\n  /** Detect free variable `global` from Node.js. */\n  var freeGlobal = typeof global == 'object' && global && global.Object === Object && global;\n\n  /** Detect free variable `self`. */\n  var freeSelf = typeof self == 'object' && self && self.Object === Object && self;\n\n  /** Used as a reference to the global object. */\n  var root = freeGlobal || freeSelf || Function('return this')();\n\n  /** Detect free variable `exports`. */\n  var freeExports = typeof exports == 'object' && exports && !exports.nodeType && exports;\n\n  /** Detect free variable `module`. */\n  var freeModule = freeExports && typeof module == 'object' && module && !module.nodeType && module;\n\n  /** Detect the popular CommonJS extension `module.exports`. */\n  var moduleExports = freeModule && freeModule.exports === freeExports;\n\n  /** Detect free variable `process` from Node.js. */\n  var freeProcess = moduleExports && freeGlobal.process;\n\n  /** Used to access faster Node.js helpers. */\n  var nodeUtil = (function() {\n    try {\n      // Use `util.types` for Node.js 10+.\n      var types = freeModule && freeModule.require && freeModule.require('util').types;\n\n      if (types) {\n        return types;\n      }\n\n      // Legacy `process.binding('util')` for Node.js < 10.\n      return freeProcess && freeProcess.binding && freeProcess.binding('util');\n    } catch (e) {}\n  }());\n\n  /* Node.js helper references. */\n  var nodeIsArrayBuffer = nodeUtil && nodeUtil.isArrayBuffer,\n      nodeIsDate = nodeUtil && nodeUtil.isDate,\n      nodeIsMap = nodeUtil && nodeUtil.isMap,\n      nodeIsRegExp = nodeUtil && nodeUtil.isRegExp,\n      nodeIsSet = nodeUtil && nodeUtil.isSet,\n      nodeIsTypedArray = nodeUtil && nodeUtil.isTypedArray;\n\n  /*--------------------------------------------------------------------------*/\n\n  /**\n   * A faster alternative to `Function#apply`, this function invokes `func`\n   * with the `this` binding of `thisArg` and the arguments of `args`.\n   *\n   * @private\n   * @param {Function} func The function to invoke.\n   * @param {*} thisArg The `this` binding of `func`.\n   * @param {Array} args The arguments to invoke `func` with.\n   * @returns {*} Returns the result of `func`.\n   */\n  function apply(func, thisArg, args) {\n    switch (args.length) {\n      case 0: return func.call(thisArg);\n      case 1: return func.call(thisArg, args[0]);\n      case 2: return func.call(thisArg, args[0], args[1]);\n      case 3: return func.call(thisArg, args[0], args[1], args[2]);\n    }\n    return func.apply(thisArg, args);\n  }\n\n  /**\n   * A specialized version of `baseAggregator` for arrays.\n   *\n   * @private\n   * @param {Array} [array] The array to iterate over.\n   * @param {Function} setter The function to set `accumulator` values.\n   * @param {Function} iteratee The iteratee to transform keys.\n   * @param {Object} accumulator The initial aggregated object.\n   * @returns {Function} Returns `accumulator`.\n   */\n  function arrayAggregator(array, setter, iteratee, accumulator) {\n    var index = -1,\n        length = array == null ? 0 : array.length;\n\n    while (++index < length) {\n      var value = array[index];\n      setter(accumulator, value, iteratee(value), array);\n    }\n    return accumulator;\n  }\n\n  /**\n   * A specialized version of `_.forEach` for arrays without support for\n   * iteratee shorthands.\n   *\n   * @private\n   * @param {Array} [array] The array to iterate over.\n   * @param {Function} iteratee The function invoked per iteration.\n   * @returns {Array} Returns `array`.\n   */\n  function arrayEach(array, iteratee) {\n    var index = -1,\n        length = array == null ? 0 : array.length;\n\n    while (++index < length) {\n      if (iteratee(array[index], index, array) === false) {\n        break;\n      }\n    }\n    return array;\n  }\n\n  /**\n   * A specialized version of `_.forEachRight` for arrays without support for\n   * iteratee shorthands.\n   *\n   * @private\n   * @param {Array} [array] The array to iterate over.\n   * @param {Function} iteratee The function invoked per iteration.\n   * @returns {Array} Returns `array`.\n   */\n  function arrayEachRight(array, iteratee) {\n    var length = array == null ? 0 : array.length;\n\n    while (length--) {\n      if (iteratee(array[length], length, array) === false) {\n        break;\n      }\n    }\n    return array;\n  }\n\n  /**\n   * A specialized version of `_.every` for arrays without support for\n   * iteratee shorthands.\n   *\n   * @private\n   * @param {Array} [array] The array to iterate over.\n   * @param {Function} predicate The function invoked per iteration.\n   * @returns {boolean} Returns `true` if all elements pass the predicate check,\n   *  else `false`.\n   */\n  function arrayEvery(array, predicate) {\n    var index = -1,\n        length = array == null ? 0 : array.length;\n\n    while (++index < length) {\n      if (!predicate(array[index], index, array)) {\n        return false;\n      }\n    }\n    return true;\n  }\n\n  /**\n   * A specialized version of `_.filter` for arrays without support for\n   * iteratee shorthands.\n   *\n   * @private\n   * @param {Array} [array] The array to iterate over.\n   * @param {Function} predicate The function invoked per iteration.\n   * @returns {Array} Returns the new filtered array.\n   */\n  function arrayFilter(array, predicate) {\n    var index = -1,\n        length = array == null ? 0 : array.length,\n        resIndex = 0,\n        result = [];\n\n    while (++index < length) {\n      var value = array[index];\n      if (predicate(value, index, array)) {\n        result[resIndex++] = value;\n      }\n    }\n    return result;\n  }\n\n  /**\n   * A specialized version of `_.includes` for arrays without support for\n   * specifying an index to search from.\n   *\n   * @private\n   * @param {Array} [array] The array to inspect.\n   * @param {*} target The value to search for.\n   * @returns {boolean} Returns `true` if `target` is found, else `false`.\n   */\n  function arrayIncludes(array, value) {\n    var length = array == null ? 0 : array.length;\n    return !!length && baseIndexOf(array, value, 0) > -1;\n  }\n\n  /**\n   * This function is like `arrayIncludes` except that it accepts a comparator.\n   *\n   * @private\n   * @param {Array} [array] The array to inspect.\n   * @param {*} target The value to search for.\n   * @param {Function} comparator The comparator invoked per element.\n   * @returns {boolean} Returns `true` if `target` is found, else `false`.\n   */\n  function arrayIncludesWith(array, value, comparator) {\n    var index = -1,\n        length = array == null ? 0 : array.length;\n\n    while (++index < length) {\n      if (comparator(value, array[index])) {\n        return true;\n      }\n    }\n    return false;\n  }\n\n  /**\n   * A specialized version of `_.map` for arrays without support for iteratee\n   * shorthands.\n   *\n   * @private\n   * @param {Array} [array] The array to iterate over.\n   * @param {Function} iteratee The function invoked per iteration.\n   * @returns {Array} Returns the new mapped array.\n   */\n  function arrayMap(array, iteratee) {\n    var index = -1,\n        length = array == null ? 0 : array.length,\n        result = Array(length);\n\n    while (++index < length) {\n      result[index] = iteratee(array[index], index, array);\n    }\n    return result;\n  }\n\n  /**\n   * Appends the elements of `values` to `array`.\n   *\n   * @private\n   * @param {Array} array The array to modify.\n   * @param {Array} values The values to append.\n   * @returns {Array} Returns `array`.\n   */\n  function arrayPush(array, values) {\n    var index = -1,\n        length = values.length,\n        offset = array.length;\n\n    while (++index < length) {\n      array[offset + index] = values[index];\n    }\n    return array;\n  }\n\n  /**\n   * A specialized version of `_.reduce` for arrays without support for\n   * iteratee shorthands.\n   *\n   * @private\n   * @param {Array} [array] The array to iterate over.\n   * @param {Function} iteratee The function invoked per iteration.\n   * @param {*} [accumulator] The initial value.\n   * @param {boolean} [initAccum] Specify using the first element of `array` as\n   *  the initial value.\n   * @returns {*} Returns the accumulated value.\n   */\n  function arrayReduce(array, iteratee, accumulator, initAccum) {\n    var index = -1,\n        length = array == null ? 0 : array.length;\n\n    if (initAccum && length) {\n      accumulator = array[++index];\n    }\n    while (++index < length) {\n      accumulator = iteratee(accumulator, array[index], index, array);\n    }\n    return accumulator;\n  }\n\n  /**\n   * A specialized version of `_.reduceRight` for arrays without support for\n   * iteratee shorthands.\n   *\n   * @private\n   * @param {Array} [array] The array to iterate over.\n   * @param {Function} iteratee The function invoked per iteration.\n   * @param {*} [accumulator] The initial value.\n   * @param {boolean} [initAccum] Specify using the last element of `array` as\n   *  the initial value.\n   * @returns {*} Returns the accumulated value.\n   */\n  function arrayReduceRight(array, iteratee, accumulator, initAccum) {\n    var length = array == null ? 0 : array.length;\n    if (initAccum && length) {\n      accumulator = array[--length];\n    }\n    while (length--) {\n      accumulator = iteratee(accumulator, array[length], length, array);\n    }\n    return accumulator;\n  }\n\n  /**\n   * A specialized version of `_.some` for arrays without support for iteratee\n   * shorthands.\n   *\n   * @private\n   * @param {Array} [array] The array to iterate over.\n   * @param {Function} predicate The function invoked per iteration.\n   * @returns {boolean} Returns `true` if any element passes the predicate check,\n   *  else `false`.\n   */\n  function arraySome(array, predicate) {\n    var index = -1,\n        length = array == null ? 0 : array.length;\n\n    while (++index < length) {\n      if (predicate(array[index], index, array)) {\n        return true;\n      }\n    }\n    return false;\n  }\n\n  /**\n   * Gets the size of an ASCII `string`.\n   *\n   * @private\n   * @param {string} string The string inspect.\n   * @returns {number} Returns the string size.\n   */\n  var asciiSize = baseProperty('length');\n\n  /**\n   * Converts an ASCII `string` to an array.\n   *\n   * @private\n   * @param {string} string The string to convert.\n   * @returns {Array} Returns the converted array.\n   */\n  function asciiToArray(string) {\n    return string.split('');\n  }\n\n  /**\n   * Splits an ASCII `string` into an array of its words.\n   *\n   * @private\n   * @param {string} The string to inspect.\n   * @returns {Array} Returns the words of `string`.\n   */\n  function asciiWords(string) {\n    return string.match(reAsciiWord) || [];\n  }\n\n  /**\n   * The base implementation of methods like `_.findKey` and `_.findLastKey`,\n   * without support for iteratee shorthands, which iterates over `collection`\n   * using `eachFunc`.\n   *\n   * @private\n   * @param {Array|Object} collection The collection to inspect.\n   * @param {Function} predicate The function invoked per iteration.\n   * @param {Function} eachFunc The function to iterate over `collection`.\n   * @returns {*} Returns the found element or its key, else `undefined`.\n   */\n  function baseFindKey(collection, predicate, eachFunc) {\n    var result;\n    eachFunc(collection, function(value, key, collection) {\n      if (predicate(value, key, collection)) {\n        result = key;\n        return false;\n      }\n    });\n    return result;\n  }\n\n  /**\n   * The base implementation of `_.findIndex` and `_.findLastIndex` without\n   * support for iteratee shorthands.\n   *\n   * @private\n   * @param {Array} array The array to inspect.\n   * @param {Function} predicate The function invoked per iteration.\n   * @param {number} fromIndex The index to search from.\n   * @param {boolean} [fromRight] Specify iterating from right to left.\n   * @returns {number} Returns the index of the matched value, else `-1`.\n   */\n  function baseFindIndex(array, predicate, fromIndex, fromRight) {\n    var length = array.length,\n        index = fromIndex + (fromRight ? 1 : -1);\n\n    while ((fromRight ? index-- : ++index < length)) {\n      if (predicate(array[index], index, array)) {\n        return index;\n      }\n    }\n    return -1;\n  }\n\n  /**\n   * The base implementation of `_.indexOf` without `fromIndex` bounds checks.\n   *\n   * @private\n   * @param {Array} array The array to inspect.\n   * @param {*} value The value to search for.\n   * @param {number} fromIndex The index to search from.\n   * @returns {number} Returns the index of the matched value, else `-1`.\n   */\n  function baseIndexOf(array, value, fromIndex) {\n    return value === value\n      ? strictIndexOf(array, value, fromIndex)\n      : baseFindIndex(array, baseIsNaN, fromIndex);\n  }\n\n  /**\n   * This function is like `baseIndexOf` except that it accepts a comparator.\n   *\n   * @private\n   * @param {Array} array The array to inspect.\n   * @param {*} value The value to search for.\n   * @param {number} fromIndex The index to search from.\n   * @param {Function} comparator The comparator invoked per element.\n   * @returns {number} Returns the index of the matched value, else `-1`.\n   */\n  function baseIndexOfWith(array, value, fromIndex, comparator) {\n    var index = fromIndex - 1,\n        length = array.length;\n\n    while (++index < length) {\n      if (comparator(array[index], value)) {\n        return index;\n      }\n    }\n    return -1;\n  }\n\n  /**\n   * The base implementation of `_.isNaN` without support for number objects.\n   *\n   * @private\n   * @param {*} value The value to check.\n   * @returns {boolean} Returns `true` if `value` is `NaN`, else `false`.\n   */\n  function baseIsNaN(value) {\n    return value !== value;\n  }\n\n  /**\n   * The base implementation of `_.mean` and `_.meanBy` without support for\n   * iteratee shorthands.\n   *\n   * @private\n   * @param {Array} array The array to iterate over.\n   * @param {Function} iteratee The function invoked per iteration.\n   * @returns {number} Returns the mean.\n   */\n  function baseMean(array, iteratee) {\n    var length = array == null ? 0 : array.length;\n    return length ? (baseSum(array, iteratee) / length) : NAN;\n  }\n\n  /**\n   * The base implementation of `_.property` without support for deep paths.\n   *\n   * @private\n   * @param {string} key The key of the property to get.\n   * @returns {Function} Returns the new accessor function.\n   */\n  function baseProperty(key) {\n    return function(object) {\n      return object == null ? undefined : object[key];\n    };\n  }\n\n  /**\n   * The base implementation of `_.propertyOf` without support for deep paths.\n   *\n   * @private\n   * @param {Object} object The object to query.\n   * @returns {Function} Returns the new accessor function.\n   */\n  function basePropertyOf(object) {\n    return function(key) {\n      return object == null ? undefined : object[key];\n    };\n  }\n\n  /**\n   * The base implementation of `_.reduce` and `_.reduceRight`, without support\n   * for iteratee shorthands, which iterates over `collection` using `eachFunc`.\n   *\n   * @private\n   * @param {Array|Object} collection The collection to iterate over.\n   * @param {Function} iteratee The function invoked per iteration.\n   * @param {*} accumulator The initial value.\n   * @param {boolean} initAccum Specify using the first or last element of\n   *  `collection` as the initial value.\n   * @param {Function} eachFunc The function to iterate over `collection`.\n   * @returns {*} Returns the accumulated value.\n   */\n  function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) {\n    eachFunc(collection, function(value, index, collection) {\n      accumulator = initAccum\n        ? (initAccum = false, value)\n        : iteratee(accumulator, value, index, collection);\n    });\n    return accumulator;\n  }\n\n  /**\n   * The base implementation of `_.sortBy` which uses `comparer` to define the\n   * sort order of `array` and replaces criteria objects with their corresponding\n   * values.\n   *\n   * @private\n   * @param {Array} array The array to sort.\n   * @param {Function} comparer The function to define sort order.\n   * @returns {Array} Returns `array`.\n   */\n  function baseSortBy(array, comparer) {\n    var length = array.length;\n\n    array.sort(comparer);\n    while (length--) {\n      array[length] = array[length].value;\n    }\n    return array;\n  }\n\n  /**\n   * The base implementation of `_.sum` and `_.sumBy` without support for\n   * iteratee shorthands.\n   *\n   * @private\n   * @param {Array} array The array to iterate over.\n   * @param {Function} iteratee The function invoked per iteration.\n   * @returns {number} Returns the sum.\n   */\n  function baseSum(array, iteratee) {\n    var result,\n        index = -1,\n        length = array.length;\n\n    while (++index < length) {\n      var current = iteratee(array[index]);\n      if (current !== undefined) {\n        result = result === undefined ? current : (result + current);\n      }\n    }\n    return result;\n  }\n\n  /**\n   * The base implementation of `_.times` without support for iteratee shorthands\n   * or max array length checks.\n   *\n   * @private\n   * @param {number} n The number of times to invoke `iteratee`.\n   * @param {Function} iteratee The function invoked per iteration.\n   * @returns {Array} Returns the array of results.\n   */\n  function baseTimes(n, iteratee) {\n    var index = -1,\n        result = Array(n);\n\n    while (++index < n) {\n      result[index] = iteratee(index);\n    }\n    return result;\n  }\n\n  /**\n   * The base implementation of `_.toPairs` and `_.toPairsIn` which creates an array\n   * of key-value pairs for `object` corresponding to the property names of `props`.\n   *\n   * @private\n   * @param {Object} object The object to query.\n   * @param {Array} props The property names to get values for.\n   * @returns {Object} Returns the key-value pairs.\n   */\n  function baseToPairs(object, props) {\n    return arrayMap(props, function(key) {\n      return [key, object[key]];\n    });\n  }\n\n  /**\n   * The base implementation of `_.trim`.\n   *\n   * @private\n   * @param {string} string The string to trim.\n   * @returns {string} Returns the trimmed string.\n   */\n  function baseTrim(string) {\n    return string\n      ? string.slice(0, trimmedEndIndex(string) + 1).replace(reTrimStart, '')\n      : string;\n  }\n\n  /**\n   * The base implementation of `_.unary` without support for storing metadata.\n   *\n   * @private\n   * @param {Function} func The function to cap arguments for.\n   * @returns {Function} Returns the new capped function.\n   */\n  function baseUnary(func) {\n    return function(value) {\n      return func(value);\n    };\n  }\n\n  /**\n   * The base implementation of `_.values` and `_.valuesIn` which creates an\n   * array of `object` property values corresponding to the property names\n   * of `props`.\n   *\n   * @private\n   * @param {Object} object The object to query.\n   * @param {Array} props The property names to get values for.\n   * @returns {Object} Returns the array of property values.\n   */\n  function baseValues(object, props) {\n    return arrayMap(props, function(key) {\n      return object[key];\n    });\n  }\n\n  /**\n   * Checks if a `cache` value for `key` exists.\n   *\n   * @private\n   * @param {Object} cache The cache to query.\n   * @param {string} key The key of the entry to check.\n   * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n   */\n  function cacheHas(cache, key) {\n    return cache.has(key);\n  }\n\n  /**\n   * Used by `_.trim` and `_.trimStart` to get the index of the first string symbol\n   * that is not found in the character symbols.\n   *\n   * @private\n   * @param {Array} strSymbols The string symbols to inspect.\n   * @param {Array} chrSymbols The character symbols to find.\n   * @returns {number} Returns the index of the first unmatched string symbol.\n   */\n  function charsStartIndex(strSymbols, chrSymbols) {\n    var index = -1,\n        length = strSymbols.length;\n\n    while (++index < length && baseIndexOf(chrSymbols, strSymbols[index], 0) > -1) {}\n    return index;\n  }\n\n  /**\n   * Used by `_.trim` and `_.trimEnd` to get the index of the last string symbol\n   * that is not found in the character symbols.\n   *\n   * @private\n   * @param {Array} strSymbols The string symbols to inspect.\n   * @param {Array} chrSymbols The character symbols to find.\n   * @returns {number} Returns the index of the last unmatched string symbol.\n   */\n  function charsEndIndex(strSymbols, chrSymbols) {\n    var index = strSymbols.length;\n\n    while (index-- && baseIndexOf(chrSymbols, strSymbols[index], 0) > -1) {}\n    return index;\n  }\n\n  /**\n   * Gets the number of `placeholder` occurrences in `array`.\n   *\n   * @private\n   * @param {Array} array The array to inspect.\n   * @param {*} placeholder The placeholder to search for.\n   * @returns {number} Returns the placeholder count.\n   */\n  function countHolders(array, placeholder) {\n    var length = array.length,\n        result = 0;\n\n    while (length--) {\n      if (array[length] === placeholder) {\n        ++result;\n      }\n    }\n    return result;\n  }\n\n  /**\n   * Used by `_.deburr` to convert Latin-1 Supplement and Latin Extended-A\n   * letters to basic Latin letters.\n   *\n   * @private\n   * @param {string} letter The matched letter to deburr.\n   * @returns {string} Returns the deburred letter.\n   */\n  var deburrLetter = basePropertyOf(deburredLetters);\n\n  /**\n   * Used by `_.escape` to convert characters to HTML entities.\n   *\n   * @private\n   * @param {string} chr The matched character to escape.\n   * @returns {string} Returns the escaped character.\n   */\n  var escapeHtmlChar = basePropertyOf(htmlEscapes);\n\n  /**\n   * Used by `_.template` to escape characters for inclusion in compiled string literals.\n   *\n   * @private\n   * @param {string} chr The matched character to escape.\n   * @returns {string} Returns the escaped character.\n   */\n  function escapeStringChar(chr) {\n    return '\\\\' + stringEscapes[chr];\n  }\n\n  /**\n   * Gets the value at `key` of `object`.\n   *\n   * @private\n   * @param {Object} [object] The object to query.\n   * @param {string} key The key of the property to get.\n   * @returns {*} Returns the property value.\n   */\n  function getValue(object, key) {\n    return object == null ? undefined : object[key];\n  }\n\n  /**\n   * Checks if `string` contains Unicode symbols.\n   *\n   * @private\n   * @param {string} string The string to inspect.\n   * @returns {boolean} Returns `true` if a symbol is found, else `false`.\n   */\n  function hasUnicode(string) {\n    return reHasUnicode.test(string);\n  }\n\n  /**\n   * Checks if `string` contains a word composed of Unicode symbols.\n   *\n   * @private\n   * @param {string} string The string to inspect.\n   * @returns {boolean} Returns `true` if a word is found, else `false`.\n   */\n  function hasUnicodeWord(string) {\n    return reHasUnicodeWord.test(string);\n  }\n\n  /**\n   * Converts `iterator` to an array.\n   *\n   * @private\n   * @param {Object} iterator The iterator to convert.\n   * @returns {Array} Returns the converted array.\n   */\n  function iteratorToArray(iterator) {\n    var data,\n        result = [];\n\n    while (!(data = iterator.next()).done) {\n      result.push(data.value);\n    }\n    return result;\n  }\n\n  /**\n   * Converts `map` to its key-value pairs.\n   *\n   * @private\n   * @param {Object} map The map to convert.\n   * @returns {Array} Returns the key-value pairs.\n   */\n  function mapToArray(map) {\n    var index = -1,\n        result = Array(map.size);\n\n    map.forEach(function(value, key) {\n      result[++index] = [key, value];\n    });\n    return result;\n  }\n\n  /**\n   * Creates a unary function that invokes `func` with its argument transformed.\n   *\n   * @private\n   * @param {Function} func The function to wrap.\n   * @param {Function} transform The argument transform.\n   * @returns {Function} Returns the new function.\n   */\n  function overArg(func, transform) {\n    return function(arg) {\n      return func(transform(arg));\n    };\n  }\n\n  /**\n   * Replaces all `placeholder` elements in `array` with an internal placeholder\n   * and returns an array of their indexes.\n   *\n   * @private\n   * @param {Array} array The array to modify.\n   * @param {*} placeholder The placeholder to replace.\n   * @returns {Array} Returns the new array of placeholder indexes.\n   */\n  function replaceHolders(array, placeholder) {\n    var index = -1,\n        length = array.length,\n        resIndex = 0,\n        result = [];\n\n    while (++index < length) {\n      var value = array[index];\n      if (value === placeholder || value === PLACEHOLDER) {\n        array[index] = PLACEHOLDER;\n        result[resIndex++] = index;\n      }\n    }\n    return result;\n  }\n\n  /**\n   * Converts `set` to an array of its values.\n   *\n   * @private\n   * @param {Object} set The set to convert.\n   * @returns {Array} Returns the values.\n   */\n  function setToArray(set) {\n    var index = -1,\n        result = Array(set.size);\n\n    set.forEach(function(value) {\n      result[++index] = value;\n    });\n    return result;\n  }\n\n  /**\n   * Converts `set` to its value-value pairs.\n   *\n   * @private\n   * @param {Object} set The set to convert.\n   * @returns {Array} Returns the value-value pairs.\n   */\n  function setToPairs(set) {\n    var index = -1,\n        result = Array(set.size);\n\n    set.forEach(function(value) {\n      result[++index] = [value, value];\n    });\n    return result;\n  }\n\n  /**\n   * A specialized version of `_.indexOf` which performs strict equality\n   * comparisons of values, i.e. `===`.\n   *\n   * @private\n   * @param {Array} array The array to inspect.\n   * @param {*} value The value to search for.\n   * @param {number} fromIndex The index to search from.\n   * @returns {number} Returns the index of the matched value, else `-1`.\n   */\n  function strictIndexOf(array, value, fromIndex) {\n    var index = fromIndex - 1,\n        length = array.length;\n\n    while (++index < length) {\n      if (array[index] === value) {\n        return index;\n      }\n    }\n    return -1;\n  }\n\n  /**\n   * A specialized version of `_.lastIndexOf` which performs strict equality\n   * comparisons of values, i.e. `===`.\n   *\n   * @private\n   * @param {Array} array The array to inspect.\n   * @param {*} value The value to search for.\n   * @param {number} fromIndex The index to search from.\n   * @returns {number} Returns the index of the matched value, else `-1`.\n   */\n  function strictLastIndexOf(array, value, fromIndex) {\n    var index = fromIndex + 1;\n    while (index--) {\n      if (array[index] === value) {\n        return index;\n      }\n    }\n    return index;\n  }\n\n  /**\n   * Gets the number of symbols in `string`.\n   *\n   * @private\n   * @param {string} string The string to inspect.\n   * @returns {number} Returns the string size.\n   */\n  function stringSize(string) {\n    return hasUnicode(string)\n      ? unicodeSize(string)\n      : asciiSize(string);\n  }\n\n  /**\n   * Converts `string` to an array.\n   *\n   * @private\n   * @param {string} string The string to convert.\n   * @returns {Array} Returns the converted array.\n   */\n  function stringToArray(string) {\n    return hasUnicode(string)\n      ? unicodeToArray(string)\n      : asciiToArray(string);\n  }\n\n  /**\n   * Used by `_.trim` and `_.trimEnd` to get the index of the last non-whitespace\n   * character of `string`.\n   *\n   * @private\n   * @param {string} string The string to inspect.\n   * @returns {number} Returns the index of the last non-whitespace character.\n   */\n  function trimmedEndIndex(string) {\n    var index = string.length;\n\n    while (index-- && reWhitespace.test(string.charAt(index))) {}\n    return index;\n  }\n\n  /**\n   * Used by `_.unescape` to convert HTML entities to characters.\n   *\n   * @private\n   * @param {string} chr The matched character to unescape.\n   * @returns {string} Returns the unescaped character.\n   */\n  var unescapeHtmlChar = basePropertyOf(htmlUnescapes);\n\n  /**\n   * Gets the size of a Unicode `string`.\n   *\n   * @private\n   * @param {string} string The string inspect.\n   * @returns {number} Returns the string size.\n   */\n  function unicodeSize(string) {\n    var result = reUnicode.lastIndex = 0;\n    while (reUnicode.test(string)) {\n      ++result;\n    }\n    return result;\n  }\n\n  /**\n   * Converts a Unicode `string` to an array.\n   *\n   * @private\n   * @param {string} string The string to convert.\n   * @returns {Array} Returns the converted array.\n   */\n  function unicodeToArray(string) {\n    return string.match(reUnicode) || [];\n  }\n\n  /**\n   * Splits a Unicode `string` into an array of its words.\n   *\n   * @private\n   * @param {string} The string to inspect.\n   * @returns {Array} Returns the words of `string`.\n   */\n  function unicodeWords(string) {\n    return string.match(reUnicodeWord) || [];\n  }\n\n  /*--------------------------------------------------------------------------*/\n\n  /**\n   * Create a new pristine `lodash` function using the `context` object.\n   *\n   * @static\n   * @memberOf _\n   * @since 1.1.0\n   * @category Util\n   * @param {Object} [context=root] The context object.\n   * @returns {Function} Returns a new `lodash` function.\n   * @example\n   *\n   * _.mixin({ 'foo': _.constant('foo') });\n   *\n   * var lodash = _.runInContext();\n   * lodash.mixin({ 'bar': lodash.constant('bar') });\n   *\n   * _.isFunction(_.foo);\n   * // => true\n   * _.isFunction(_.bar);\n   * // => false\n   *\n   * lodash.isFunction(lodash.foo);\n   * // => false\n   * lodash.isFunction(lodash.bar);\n   * // => true\n   *\n   * // Create a suped-up `defer` in Node.js.\n   * var defer = _.runInContext({ 'setTimeout': setImmediate }).defer;\n   */\n  var runInContext = (function runInContext(context) {\n    context = context == null ? root : _.defaults(root.Object(), context, _.pick(root, contextProps));\n\n    /** Built-in constructor references. */\n    var Array = context.Array,\n        Date = context.Date,\n        Error = context.Error,\n        Function = context.Function,\n        Math = context.Math,\n        Object = context.Object,\n        RegExp = context.RegExp,\n        String = context.String,\n        TypeError = context.TypeError;\n\n    /** Used for built-in method references. */\n    var arrayProto = Array.prototype,\n        funcProto = Function.prototype,\n        objectProto = Object.prototype;\n\n    /** Used to detect overreaching core-js shims. */\n    var coreJsData = context['__core-js_shared__'];\n\n    /** Used to resolve the decompiled source of functions. */\n    var funcToString = funcProto.toString;\n\n    /** Used to check objects for own properties. */\n    var hasOwnProperty = objectProto.hasOwnProperty;\n\n    /** Used to generate unique IDs. */\n    var idCounter = 0;\n\n    /** Used to detect methods masquerading as native. */\n    var maskSrcKey = (function() {\n      var uid = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || '');\n      return uid ? ('Symbol(src)_1.' + uid) : '';\n    }());\n\n    /**\n     * Used to resolve the\n     * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring)\n     * of values.\n     */\n    var nativeObjectToString = objectProto.toString;\n\n    /** Used to infer the `Object` constructor. */\n    var objectCtorString = funcToString.call(Object);\n\n    /** Used to restore the original `_` reference in `_.noConflict`. */\n    var oldDash = root._;\n\n    /** Used to detect if a method is native. */\n    var reIsNative = RegExp('^' +\n      funcToString.call(hasOwnProperty).replace(reRegExpChar, '\\\\$&')\n      .replace(/hasOwnProperty|(function).*?(?=\\\\\\()| for .+?(?=\\\\\\])/g, '$1.*?') + '$'\n    );\n\n    /** Built-in value references. */\n    var Buffer = moduleExports ? context.Buffer : undefined,\n        Symbol = context.Symbol,\n        Uint8Array = context.Uint8Array,\n        allocUnsafe = Buffer ? Buffer.allocUnsafe : undefined,\n        getPrototype = overArg(Object.getPrototypeOf, Object),\n        objectCreate = Object.create,\n        propertyIsEnumerable = objectProto.propertyIsEnumerable,\n        splice = arrayProto.splice,\n        spreadableSymbol = Symbol ? Symbol.isConcatSpreadable : undefined,\n        symIterator = Symbol ? Symbol.iterator : undefined,\n        symToStringTag = Symbol ? Symbol.toStringTag : undefined;\n\n    var defineProperty = (function() {\n      try {\n        var func = getNative(Object, 'defineProperty');\n        func({}, '', {});\n        return func;\n      } catch (e) {}\n    }());\n\n    /** Mocked built-ins. */\n    var ctxClearTimeout = context.clearTimeout !== root.clearTimeout && context.clearTimeout,\n        ctxNow = Date && Date.now !== root.Date.now && Date.now,\n        ctxSetTimeout = context.setTimeout !== root.setTimeout && context.setTimeout;\n\n    /* Built-in method references for those with the same name as other `lodash` methods. */\n    var nativeCeil = Math.ceil,\n        nativeFloor = Math.floor,\n        nativeGetSymbols = Object.getOwnPropertySymbols,\n        nativeIsBuffer = Buffer ? Buffer.isBuffer : undefined,\n        nativeIsFinite = context.isFinite,\n        nativeJoin = arrayProto.join,\n        nativeKeys = overArg(Object.keys, Object),\n        nativeMax = Math.max,\n        nativeMin = Math.min,\n        nativeNow = Date.now,\n        nativeParseInt = context.parseInt,\n        nativeRandom = Math.random,\n        nativeReverse = arrayProto.reverse;\n\n    /* Built-in method references that are verified to be native. */\n    var DataView = getNative(context, 'DataView'),\n        Map = getNative(context, 'Map'),\n        Promise = getNative(context, 'Promise'),\n        Set = getNative(context, 'Set'),\n        WeakMap = getNative(context, 'WeakMap'),\n        nativeCreate = getNative(Object, 'create');\n\n    /** Used to store function metadata. */\n    var metaMap = WeakMap && new WeakMap;\n\n    /** Used to lookup unminified function names. */\n    var realNames = {};\n\n    /** Used to detect maps, sets, and weakmaps. */\n    var dataViewCtorString = toSource(DataView),\n        mapCtorString = toSource(Map),\n        promiseCtorString = toSource(Promise),\n        setCtorString = toSource(Set),\n        weakMapCtorString = toSource(WeakMap);\n\n    /** Used to convert symbols to primitives and strings. */\n    var symbolProto = Symbol ? Symbol.prototype : undefined,\n        symbolValueOf = symbolProto ? symbolProto.valueOf : undefined,\n        symbolToString = symbolProto ? symbolProto.toString : undefined;\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Creates a `lodash` object which wraps `value` to enable implicit method\n     * chain sequences. Methods that operate on and return arrays, collections,\n     * and functions can be chained together. Methods that retrieve a single value\n     * or may return a primitive value will automatically end the chain sequence\n     * and return the unwrapped value. Otherwise, the value must be unwrapped\n     * with `_#value`.\n     *\n     * Explicit chain sequences, which must be unwrapped with `_#value`, may be\n     * enabled using `_.chain`.\n     *\n     * The execution of chained methods is lazy, that is, it's deferred until\n     * `_#value` is implicitly or explicitly called.\n     *\n     * Lazy evaluation allows several methods to support shortcut fusion.\n     * Shortcut fusion is an optimization to merge iteratee calls; this avoids\n     * the creation of intermediate arrays and can greatly reduce the number of\n     * iteratee executions. Sections of a chain sequence qualify for shortcut\n     * fusion if the section is applied to an array and iteratees accept only\n     * one argument. The heuristic for whether a section qualifies for shortcut\n     * fusion is subject to change.\n     *\n     * Chaining is supported in custom builds as long as the `_#value` method is\n     * directly or indirectly included in the build.\n     *\n     * In addition to lodash methods, wrappers have `Array` and `String` methods.\n     *\n     * The wrapper `Array` methods are:\n     * `concat`, `join`, `pop`, `push`, `shift`, `sort`, `splice`, and `unshift`\n     *\n     * The wrapper `String` methods are:\n     * `replace` and `split`\n     *\n     * The wrapper methods that support shortcut fusion are:\n     * `at`, `compact`, `drop`, `dropRight`, `dropWhile`, `filter`, `find`,\n     * `findLast`, `head`, `initial`, `last`, `map`, `reject`, `reverse`, `slice`,\n     * `tail`, `take`, `takeRight`, `takeRightWhile`, `takeWhile`, and `toArray`\n     *\n     * The chainable wrapper methods are:\n     * `after`, `ary`, `assign`, `assignIn`, `assignInWith`, `assignWith`, `at`,\n     * `before`, `bind`, `bindAll`, `bindKey`, `castArray`, `chain`, `chunk`,\n     * `commit`, `compact`, `concat`, `conforms`, `constant`, `countBy`, `create`,\n     * `curry`, `debounce`, `defaults`, `defaultsDeep`, `defer`, `delay`,\n     * `difference`, `differenceBy`, `differenceWith`, `drop`, `dropRight`,\n     * `dropRightWhile`, `dropWhile`, `extend`, `extendWith`, `fill`, `filter`,\n     * `flatMap`, `flatMapDeep`, `flatMapDepth`, `flatten`, `flattenDeep`,\n     * `flattenDepth`, `flip`, `flow`, `flowRight`, `fromPairs`, `functions`,\n     * `functionsIn`, `groupBy`, `initial`, `intersection`, `intersectionBy`,\n     * `intersectionWith`, `invert`, `invertBy`, `invokeMap`, `iteratee`, `keyBy`,\n     * `keys`, `keysIn`, `map`, `mapKeys`, `mapValues`, `matches`, `matchesProperty`,\n     * `memoize`, `merge`, `mergeWith`, `method`, `methodOf`, `mixin`, `negate`,\n     * `nthArg`, `omit`, `omitBy`, `once`, `orderBy`, `over`, `overArgs`,\n     * `overEvery`, `overSome`, `partial`, `partialRight`, `partition`, `pick`,\n     * `pickBy`, `plant`, `property`, `propertyOf`, `pull`, `pullAll`, `pullAllBy`,\n     * `pullAllWith`, `pullAt`, `push`, `range`, `rangeRight`, `rearg`, `reject`,\n     * `remove`, `rest`, `reverse`, `sampleSize`, `set`, `setWith`, `shuffle`,\n     * `slice`, `sort`, `sortBy`, `splice`, `spread`, `tail`, `take`, `takeRight`,\n     * `takeRightWhile`, `takeWhile`, `tap`, `throttle`, `thru`, `toArray`,\n     * `toPairs`, `toPairsIn`, `toPath`, `toPlainObject`, `transform`, `unary`,\n     * `union`, `unionBy`, `unionWith`, `uniq`, `uniqBy`, `uniqWith`, `unset`,\n     * `unshift`, `unzip`, `unzipWith`, `update`, `updateWith`, `values`,\n     * `valuesIn`, `without`, `wrap`, `xor`, `xorBy`, `xorWith`, `zip`,\n     * `zipObject`, `zipObjectDeep`, and `zipWith`\n     *\n     * The wrapper methods that are **not** chainable by default are:\n     * `add`, `attempt`, `camelCase`, `capitalize`, `ceil`, `clamp`, `clone`,\n     * `cloneDeep`, `cloneDeepWith`, `cloneWith`, `conformsTo`, `deburr`,\n     * `defaultTo`, `divide`, `each`, `eachRight`, `endsWith`, `eq`, `escape`,\n     * `escapeRegExp`, `every`, `find`, `findIndex`, `findKey`, `findLast`,\n     * `findLastIndex`, `findLastKey`, `first`, `floor`, `forEach`, `forEachRight`,\n     * `forIn`, `forInRight`, `forOwn`, `forOwnRight`, `get`, `gt`, `gte`, `has`,\n     * `hasIn`, `head`, `identity`, `includes`, `indexOf`, `inRange`, `invoke`,\n     * `isArguments`, `isArray`, `isArrayBuffer`, `isArrayLike`, `isArrayLikeObject`,\n     * `isBoolean`, `isBuffer`, `isDate`, `isElement`, `isEmpty`, `isEqual`,\n     * `isEqualWith`, `isError`, `isFinite`, `isFunction`, `isInteger`, `isLength`,\n     * `isMap`, `isMatch`, `isMatchWith`, `isNaN`, `isNative`, `isNil`, `isNull`,\n     * `isNumber`, `isObject`, `isObjectLike`, `isPlainObject`, `isRegExp`,\n     * `isSafeInteger`, `isSet`, `isString`, `isUndefined`, `isTypedArray`,\n     * `isWeakMap`, `isWeakSet`, `join`, `kebabCase`, `last`, `lastIndexOf`,\n     * `lowerCase`, `lowerFirst`, `lt`, `lte`, `max`, `maxBy`, `mean`, `meanBy`,\n     * `min`, `minBy`, `multiply`, `noConflict`, `noop`, `now`, `nth`, `pad`,\n     * `padEnd`, `padStart`, `parseInt`, `pop`, `random`, `reduce`, `reduceRight`,\n     * `repeat`, `result`, `round`, `runInContext`, `sample`, `shift`, `size`,\n     * `snakeCase`, `some`, `sortedIndex`, `sortedIndexBy`, `sortedLastIndex`,\n     * `sortedLastIndexBy`, `startCase`, `startsWith`, `stubArray`, `stubFalse`,\n     * `stubObject`, `stubString`, `stubTrue`, `subtract`, `sum`, `sumBy`,\n     * `template`, `times`, `toFinite`, `toInteger`, `toJSON`, `toLength`,\n     * `toLower`, `toNumber`, `toSafeInteger`, `toString`, `toUpper`, `trim`,\n     * `trimEnd`, `trimStart`, `truncate`, `unescape`, `uniqueId`, `upperCase`,\n     * `upperFirst`, `value`, and `words`\n     *\n     * @name _\n     * @constructor\n     * @category Seq\n     * @param {*} value The value to wrap in a `lodash` instance.\n     * @returns {Object} Returns the new `lodash` wrapper instance.\n     * @example\n     *\n     * function square(n) {\n     *   return n * n;\n     * }\n     *\n     * var wrapped = _([1, 2, 3]);\n     *\n     * // Returns an unwrapped value.\n     * wrapped.reduce(_.add);\n     * // => 6\n     *\n     * // Returns a wrapped value.\n     * var squares = wrapped.map(square);\n     *\n     * _.isArray(squares);\n     * // => false\n     *\n     * _.isArray(squares.value());\n     * // => true\n     */\n    function lodash(value) {\n      if (isObjectLike(value) && !isArray(value) && !(value instanceof LazyWrapper)) {\n        if (value instanceof LodashWrapper) {\n          return value;\n        }\n        if (hasOwnProperty.call(value, '__wrapped__')) {\n          return wrapperClone(value);\n        }\n      }\n      return new LodashWrapper(value);\n    }\n\n    /**\n     * The base implementation of `_.create` without support for assigning\n     * properties to the created object.\n     *\n     * @private\n     * @param {Object} proto The object to inherit from.\n     * @returns {Object} Returns the new object.\n     */\n    var baseCreate = (function() {\n      function object() {}\n      return function(proto) {\n        if (!isObject(proto)) {\n          return {};\n        }\n        if (objectCreate) {\n          return objectCreate(proto);\n        }\n        object.prototype = proto;\n        var result = new object;\n        object.prototype = undefined;\n        return result;\n      };\n    }());\n\n    /**\n     * The function whose prototype chain sequence wrappers inherit from.\n     *\n     * @private\n     */\n    function baseLodash() {\n      // No operation performed.\n    }\n\n    /**\n     * The base constructor for creating `lodash` wrapper objects.\n     *\n     * @private\n     * @param {*} value The value to wrap.\n     * @param {boolean} [chainAll] Enable explicit method chain sequences.\n     */\n    function LodashWrapper(value, chainAll) {\n      this.__wrapped__ = value;\n      this.__actions__ = [];\n      this.__chain__ = !!chainAll;\n      this.__index__ = 0;\n      this.__values__ = undefined;\n    }\n\n    /**\n     * By default, the template delimiters used by lodash are like those in\n     * embedded Ruby (ERB) as well as ES2015 template strings. Change the\n     * following template settings to use alternative delimiters.\n     *\n     * @static\n     * @memberOf _\n     * @type {Object}\n     */\n    lodash.templateSettings = {\n\n      /**\n       * Used to detect `data` property values to be HTML-escaped.\n       *\n       * @memberOf _.templateSettings\n       * @type {RegExp}\n       */\n      'escape': reEscape,\n\n      /**\n       * Used to detect code to be evaluated.\n       *\n       * @memberOf _.templateSettings\n       * @type {RegExp}\n       */\n      'evaluate': reEvaluate,\n\n      /**\n       * Used to detect `data` property values to inject.\n       *\n       * @memberOf _.templateSettings\n       * @type {RegExp}\n       */\n      'interpolate': reInterpolate,\n\n      /**\n       * Used to reference the data object in the template text.\n       *\n       * @memberOf _.templateSettings\n       * @type {string}\n       */\n      'variable': '',\n\n      /**\n       * Used to import variables into the compiled template.\n       *\n       * @memberOf _.templateSettings\n       * @type {Object}\n       */\n      'imports': {\n\n        /**\n         * A reference to the `lodash` function.\n         *\n         * @memberOf _.templateSettings.imports\n         * @type {Function}\n         */\n        '_': lodash\n      }\n    };\n\n    // Ensure wrappers are instances of `baseLodash`.\n    lodash.prototype = baseLodash.prototype;\n    lodash.prototype.constructor = lodash;\n\n    LodashWrapper.prototype = baseCreate(baseLodash.prototype);\n    LodashWrapper.prototype.constructor = LodashWrapper;\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Creates a lazy wrapper object which wraps `value` to enable lazy evaluation.\n     *\n     * @private\n     * @constructor\n     * @param {*} value The value to wrap.\n     */\n    function LazyWrapper(value) {\n      this.__wrapped__ = value;\n      this.__actions__ = [];\n      this.__dir__ = 1;\n      this.__filtered__ = false;\n      this.__iteratees__ = [];\n      this.__takeCount__ = MAX_ARRAY_LENGTH;\n      this.__views__ = [];\n    }\n\n    /**\n     * Creates a clone of the lazy wrapper object.\n     *\n     * @private\n     * @name clone\n     * @memberOf LazyWrapper\n     * @returns {Object} Returns the cloned `LazyWrapper` object.\n     */\n    function lazyClone() {\n      var result = new LazyWrapper(this.__wrapped__);\n      result.__actions__ = copyArray(this.__actions__);\n      result.__dir__ = this.__dir__;\n      result.__filtered__ = this.__filtered__;\n      result.__iteratees__ = copyArray(this.__iteratees__);\n      result.__takeCount__ = this.__takeCount__;\n      result.__views__ = copyArray(this.__views__);\n      return result;\n    }\n\n    /**\n     * Reverses the direction of lazy iteration.\n     *\n     * @private\n     * @name reverse\n     * @memberOf LazyWrapper\n     * @returns {Object} Returns the new reversed `LazyWrapper` object.\n     */\n    function lazyReverse() {\n      if (this.__filtered__) {\n        var result = new LazyWrapper(this);\n        result.__dir__ = -1;\n        result.__filtered__ = true;\n      } else {\n        result = this.clone();\n        result.__dir__ *= -1;\n      }\n      return result;\n    }\n\n    /**\n     * Extracts the unwrapped value from its lazy wrapper.\n     *\n     * @private\n     * @name value\n     * @memberOf LazyWrapper\n     * @returns {*} Returns the unwrapped value.\n     */\n    function lazyValue() {\n      var array = this.__wrapped__.value(),\n          dir = this.__dir__,\n          isArr = isArray(array),\n          isRight = dir < 0,\n          arrLength = isArr ? array.length : 0,\n          view = getView(0, arrLength, this.__views__),\n          start = view.start,\n          end = view.end,\n          length = end - start,\n          index = isRight ? end : (start - 1),\n          iteratees = this.__iteratees__,\n          iterLength = iteratees.length,\n          resIndex = 0,\n          takeCount = nativeMin(length, this.__takeCount__);\n\n      if (!isArr || (!isRight && arrLength == length && takeCount == length)) {\n        return baseWrapperValue(array, this.__actions__);\n      }\n      var result = [];\n\n      outer:\n      while (length-- && resIndex < takeCount) {\n        index += dir;\n\n        var iterIndex = -1,\n            value = array[index];\n\n        while (++iterIndex < iterLength) {\n          var data = iteratees[iterIndex],\n              iteratee = data.iteratee,\n              type = data.type,\n              computed = iteratee(value);\n\n          if (type == LAZY_MAP_FLAG) {\n            value = computed;\n          } else if (!computed) {\n            if (type == LAZY_FILTER_FLAG) {\n              continue outer;\n            } else {\n              break outer;\n            }\n          }\n        }\n        result[resIndex++] = value;\n      }\n      return result;\n    }\n\n    // Ensure `LazyWrapper` is an instance of `baseLodash`.\n    LazyWrapper.prototype = baseCreate(baseLodash.prototype);\n    LazyWrapper.prototype.constructor = LazyWrapper;\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Creates a hash object.\n     *\n     * @private\n     * @constructor\n     * @param {Array} [entries] The key-value pairs to cache.\n     */\n    function Hash(entries) {\n      var index = -1,\n          length = entries == null ? 0 : entries.length;\n\n      this.clear();\n      while (++index < length) {\n        var entry = entries[index];\n        this.set(entry[0], entry[1]);\n      }\n    }\n\n    /**\n     * Removes all key-value entries from the hash.\n     *\n     * @private\n     * @name clear\n     * @memberOf Hash\n     */\n    function hashClear() {\n      this.__data__ = nativeCreate ? nativeCreate(null) : {};\n      this.size = 0;\n    }\n\n    /**\n     * Removes `key` and its value from the hash.\n     *\n     * @private\n     * @name delete\n     * @memberOf Hash\n     * @param {Object} hash The hash to modify.\n     * @param {string} key The key of the value to remove.\n     * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n     */\n    function hashDelete(key) {\n      var result = this.has(key) && delete this.__data__[key];\n      this.size -= result ? 1 : 0;\n      return result;\n    }\n\n    /**\n     * Gets the hash value for `key`.\n     *\n     * @private\n     * @name get\n     * @memberOf Hash\n     * @param {string} key The key of the value to get.\n     * @returns {*} Returns the entry value.\n     */\n    function hashGet(key) {\n      var data = this.__data__;\n      if (nativeCreate) {\n        var result = data[key];\n        return result === HASH_UNDEFINED ? undefined : result;\n      }\n      return hasOwnProperty.call(data, key) ? data[key] : undefined;\n    }\n\n    /**\n     * Checks if a hash value for `key` exists.\n     *\n     * @private\n     * @name has\n     * @memberOf Hash\n     * @param {string} key The key of the entry to check.\n     * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n     */\n    function hashHas(key) {\n      var data = this.__data__;\n      return nativeCreate ? (data[key] !== undefined) : hasOwnProperty.call(data, key);\n    }\n\n    /**\n     * Sets the hash `key` to `value`.\n     *\n     * @private\n     * @name set\n     * @memberOf Hash\n     * @param {string} key The key of the value to set.\n     * @param {*} value The value to set.\n     * @returns {Object} Returns the hash instance.\n     */\n    function hashSet(key, value) {\n      var data = this.__data__;\n      this.size += this.has(key) ? 0 : 1;\n      data[key] = (nativeCreate && value === undefined) ? HASH_UNDEFINED : value;\n      return this;\n    }\n\n    // Add methods to `Hash`.\n    Hash.prototype.clear = hashClear;\n    Hash.prototype['delete'] = hashDelete;\n    Hash.prototype.get = hashGet;\n    Hash.prototype.has = hashHas;\n    Hash.prototype.set = hashSet;\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Creates an list cache object.\n     *\n     * @private\n     * @constructor\n     * @param {Array} [entries] The key-value pairs to cache.\n     */\n    function ListCache(entries) {\n      var index = -1,\n          length = entries == null ? 0 : entries.length;\n\n      this.clear();\n      while (++index < length) {\n        var entry = entries[index];\n        this.set(entry[0], entry[1]);\n      }\n    }\n\n    /**\n     * Removes all key-value entries from the list cache.\n     *\n     * @private\n     * @name clear\n     * @memberOf ListCache\n     */\n    function listCacheClear() {\n      this.__data__ = [];\n      this.size = 0;\n    }\n\n    /**\n     * Removes `key` and its value from the list cache.\n     *\n     * @private\n     * @name delete\n     * @memberOf ListCache\n     * @param {string} key The key of the value to remove.\n     * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n     */\n    function listCacheDelete(key) {\n      var data = this.__data__,\n          index = assocIndexOf(data, key);\n\n      if (index < 0) {\n        return false;\n      }\n      var lastIndex = data.length - 1;\n      if (index == lastIndex) {\n        data.pop();\n      } else {\n        splice.call(data, index, 1);\n      }\n      --this.size;\n      return true;\n    }\n\n    /**\n     * Gets the list cache value for `key`.\n     *\n     * @private\n     * @name get\n     * @memberOf ListCache\n     * @param {string} key The key of the value to get.\n     * @returns {*} Returns the entry value.\n     */\n    function listCacheGet(key) {\n      var data = this.__data__,\n          index = assocIndexOf(data, key);\n\n      return index < 0 ? undefined : data[index][1];\n    }\n\n    /**\n     * Checks if a list cache value for `key` exists.\n     *\n     * @private\n     * @name has\n     * @memberOf ListCache\n     * @param {string} key The key of the entry to check.\n     * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n     */\n    function listCacheHas(key) {\n      return assocIndexOf(this.__data__, key) > -1;\n    }\n\n    /**\n     * Sets the list cache `key` to `value`.\n     *\n     * @private\n     * @name set\n     * @memberOf ListCache\n     * @param {string} key The key of the value to set.\n     * @param {*} value The value to set.\n     * @returns {Object} Returns the list cache instance.\n     */\n    function listCacheSet(key, value) {\n      var data = this.__data__,\n          index = assocIndexOf(data, key);\n\n      if (index < 0) {\n        ++this.size;\n        data.push([key, value]);\n      } else {\n        data[index][1] = value;\n      }\n      return this;\n    }\n\n    // Add methods to `ListCache`.\n    ListCache.prototype.clear = listCacheClear;\n    ListCache.prototype['delete'] = listCacheDelete;\n    ListCache.prototype.get = listCacheGet;\n    ListCache.prototype.has = listCacheHas;\n    ListCache.prototype.set = listCacheSet;\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Creates a map cache object to store key-value pairs.\n     *\n     * @private\n     * @constructor\n     * @param {Array} [entries] The key-value pairs to cache.\n     */\n    function MapCache(entries) {\n      var index = -1,\n          length = entries == null ? 0 : entries.length;\n\n      this.clear();\n      while (++index < length) {\n        var entry = entries[index];\n        this.set(entry[0], entry[1]);\n      }\n    }\n\n    /**\n     * Removes all key-value entries from the map.\n     *\n     * @private\n     * @name clear\n     * @memberOf MapCache\n     */\n    function mapCacheClear() {\n      this.size = 0;\n      this.__data__ = {\n        'hash': new Hash,\n        'map': new (Map || ListCache),\n        'string': new Hash\n      };\n    }\n\n    /**\n     * Removes `key` and its value from the map.\n     *\n     * @private\n     * @name delete\n     * @memberOf MapCache\n     * @param {string} key The key of the value to remove.\n     * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n     */\n    function mapCacheDelete(key) {\n      var result = getMapData(this, key)['delete'](key);\n      this.size -= result ? 1 : 0;\n      return result;\n    }\n\n    /**\n     * Gets the map value for `key`.\n     *\n     * @private\n     * @name get\n     * @memberOf MapCache\n     * @param {string} key The key of the value to get.\n     * @returns {*} Returns the entry value.\n     */\n    function mapCacheGet(key) {\n      return getMapData(this, key).get(key);\n    }\n\n    /**\n     * Checks if a map value for `key` exists.\n     *\n     * @private\n     * @name has\n     * @memberOf MapCache\n     * @param {string} key The key of the entry to check.\n     * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n     */\n    function mapCacheHas(key) {\n      return getMapData(this, key).has(key);\n    }\n\n    /**\n     * Sets the map `key` to `value`.\n     *\n     * @private\n     * @name set\n     * @memberOf MapCache\n     * @param {string} key The key of the value to set.\n     * @param {*} value The value to set.\n     * @returns {Object} Returns the map cache instance.\n     */\n    function mapCacheSet(key, value) {\n      var data = getMapData(this, key),\n          size = data.size;\n\n      data.set(key, value);\n      this.size += data.size == size ? 0 : 1;\n      return this;\n    }\n\n    // Add methods to `MapCache`.\n    MapCache.prototype.clear = mapCacheClear;\n    MapCache.prototype['delete'] = mapCacheDelete;\n    MapCache.prototype.get = mapCacheGet;\n    MapCache.prototype.has = mapCacheHas;\n    MapCache.prototype.set = mapCacheSet;\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     *\n     * Creates an array cache object to store unique values.\n     *\n     * @private\n     * @constructor\n     * @param {Array} [values] The values to cache.\n     */\n    function SetCache(values) {\n      var index = -1,\n          length = values == null ? 0 : values.length;\n\n      this.__data__ = new MapCache;\n      while (++index < length) {\n        this.add(values[index]);\n      }\n    }\n\n    /**\n     * Adds `value` to the array cache.\n     *\n     * @private\n     * @name add\n     * @memberOf SetCache\n     * @alias push\n     * @param {*} value The value to cache.\n     * @returns {Object} Returns the cache instance.\n     */\n    function setCacheAdd(value) {\n      this.__data__.set(value, HASH_UNDEFINED);\n      return this;\n    }\n\n    /**\n     * Checks if `value` is in the array cache.\n     *\n     * @private\n     * @name has\n     * @memberOf SetCache\n     * @param {*} value The value to search for.\n     * @returns {number} Returns `true` if `value` is found, else `false`.\n     */\n    function setCacheHas(value) {\n      return this.__data__.has(value);\n    }\n\n    // Add methods to `SetCache`.\n    SetCache.prototype.add = SetCache.prototype.push = setCacheAdd;\n    SetCache.prototype.has = setCacheHas;\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Creates a stack cache object to store key-value pairs.\n     *\n     * @private\n     * @constructor\n     * @param {Array} [entries] The key-value pairs to cache.\n     */\n    function Stack(entries) {\n      var data = this.__data__ = new ListCache(entries);\n      this.size = data.size;\n    }\n\n    /**\n     * Removes all key-value entries from the stack.\n     *\n     * @private\n     * @name clear\n     * @memberOf Stack\n     */\n    function stackClear() {\n      this.__data__ = new ListCache;\n      this.size = 0;\n    }\n\n    /**\n     * Removes `key` and its value from the stack.\n     *\n     * @private\n     * @name delete\n     * @memberOf Stack\n     * @param {string} key The key of the value to remove.\n     * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n     */\n    function stackDelete(key) {\n      var data = this.__data__,\n          result = data['delete'](key);\n\n      this.size = data.size;\n      return result;\n    }\n\n    /**\n     * Gets the stack value for `key`.\n     *\n     * @private\n     * @name get\n     * @memberOf Stack\n     * @param {string} key The key of the value to get.\n     * @returns {*} Returns the entry value.\n     */\n    function stackGet(key) {\n      return this.__data__.get(key);\n    }\n\n    /**\n     * Checks if a stack value for `key` exists.\n     *\n     * @private\n     * @name has\n     * @memberOf Stack\n     * @param {string} key The key of the entry to check.\n     * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n     */\n    function stackHas(key) {\n      return this.__data__.has(key);\n    }\n\n    /**\n     * Sets the stack `key` to `value`.\n     *\n     * @private\n     * @name set\n     * @memberOf Stack\n     * @param {string} key The key of the value to set.\n     * @param {*} value The value to set.\n     * @returns {Object} Returns the stack cache instance.\n     */\n    function stackSet(key, value) {\n      var data = this.__data__;\n      if (data instanceof ListCache) {\n        var pairs = data.__data__;\n        if (!Map || (pairs.length < LARGE_ARRAY_SIZE - 1)) {\n          pairs.push([key, value]);\n          this.size = ++data.size;\n          return this;\n        }\n        data = this.__data__ = new MapCache(pairs);\n      }\n      data.set(key, value);\n      this.size = data.size;\n      return this;\n    }\n\n    // Add methods to `Stack`.\n    Stack.prototype.clear = stackClear;\n    Stack.prototype['delete'] = stackDelete;\n    Stack.prototype.get = stackGet;\n    Stack.prototype.has = stackHas;\n    Stack.prototype.set = stackSet;\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Creates an array of the enumerable property names of the array-like `value`.\n     *\n     * @private\n     * @param {*} value The value to query.\n     * @param {boolean} inherited Specify returning inherited property names.\n     * @returns {Array} Returns the array of property names.\n     */\n    function arrayLikeKeys(value, inherited) {\n      var isArr = isArray(value),\n          isArg = !isArr && isArguments(value),\n          isBuff = !isArr && !isArg && isBuffer(value),\n          isType = !isArr && !isArg && !isBuff && isTypedArray(value),\n          skipIndexes = isArr || isArg || isBuff || isType,\n          result = skipIndexes ? baseTimes(value.length, String) : [],\n          length = result.length;\n\n      for (var key in value) {\n        if ((inherited || hasOwnProperty.call(value, key)) &&\n            !(skipIndexes && (\n               // Safari 9 has enumerable `arguments.length` in strict mode.\n               key == 'length' ||\n               // Node.js 0.10 has enumerable non-index properties on buffers.\n               (isBuff && (key == 'offset' || key == 'parent')) ||\n               // PhantomJS 2 has enumerable non-index properties on typed arrays.\n               (isType && (key == 'buffer' || key == 'byteLength' || key == 'byteOffset')) ||\n               // Skip index properties.\n               isIndex(key, length)\n            ))) {\n          result.push(key);\n        }\n      }\n      return result;\n    }\n\n    /**\n     * A specialized version of `_.sample` for arrays.\n     *\n     * @private\n     * @param {Array} array The array to sample.\n     * @returns {*} Returns the random element.\n     */\n    function arraySample(array) {\n      var length = array.length;\n      return length ? array[baseRandom(0, length - 1)] : undefined;\n    }\n\n    /**\n     * A specialized version of `_.sampleSize` for arrays.\n     *\n     * @private\n     * @param {Array} array The array to sample.\n     * @param {number} n The number of elements to sample.\n     * @returns {Array} Returns the random elements.\n     */\n    function arraySampleSize(array, n) {\n      return shuffleSelf(copyArray(array), baseClamp(n, 0, array.length));\n    }\n\n    /**\n     * A specialized version of `_.shuffle` for arrays.\n     *\n     * @private\n     * @param {Array} array The array to shuffle.\n     * @returns {Array} Returns the new shuffled array.\n     */\n    function arrayShuffle(array) {\n      return shuffleSelf(copyArray(array));\n    }\n\n    /**\n     * This function is like `assignValue` except that it doesn't assign\n     * `undefined` values.\n     *\n     * @private\n     * @param {Object} object The object to modify.\n     * @param {string} key The key of the property to assign.\n     * @param {*} value The value to assign.\n     */\n    function assignMergeValue(object, key, value) {\n      if ((value !== undefined && !eq(object[key], value)) ||\n          (value === undefined && !(key in object))) {\n        baseAssignValue(object, key, value);\n      }\n    }\n\n    /**\n     * Assigns `value` to `key` of `object` if the existing value is not equivalent\n     * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n     * for equality comparisons.\n     *\n     * @private\n     * @param {Object} object The object to modify.\n     * @param {string} key The key of the property to assign.\n     * @param {*} value The value to assign.\n     */\n    function assignValue(object, key, value) {\n      var objValue = object[key];\n      if (!(hasOwnProperty.call(object, key) && eq(objValue, value)) ||\n          (value === undefined && !(key in object))) {\n        baseAssignValue(object, key, value);\n      }\n    }\n\n    /**\n     * Gets the index at which the `key` is found in `array` of key-value pairs.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {*} key The key to search for.\n     * @returns {number} Returns the index of the matched value, else `-1`.\n     */\n    function assocIndexOf(array, key) {\n      var length = array.length;\n      while (length--) {\n        if (eq(array[length][0], key)) {\n          return length;\n        }\n      }\n      return -1;\n    }\n\n    /**\n     * Aggregates elements of `collection` on `accumulator` with keys transformed\n     * by `iteratee` and values set by `setter`.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} setter The function to set `accumulator` values.\n     * @param {Function} iteratee The iteratee to transform keys.\n     * @param {Object} accumulator The initial aggregated object.\n     * @returns {Function} Returns `accumulator`.\n     */\n    function baseAggregator(collection, setter, iteratee, accumulator) {\n      baseEach(collection, function(value, key, collection) {\n        setter(accumulator, value, iteratee(value), collection);\n      });\n      return accumulator;\n    }\n\n    /**\n     * The base implementation of `_.assign` without support for multiple sources\n     * or `customizer` functions.\n     *\n     * @private\n     * @param {Object} object The destination object.\n     * @param {Object} source The source object.\n     * @returns {Object} Returns `object`.\n     */\n    function baseAssign(object, source) {\n      return object && copyObject(source, keys(source), object);\n    }\n\n    /**\n     * The base implementation of `_.assignIn` without support for multiple sources\n     * or `customizer` functions.\n     *\n     * @private\n     * @param {Object} object The destination object.\n     * @param {Object} source The source object.\n     * @returns {Object} Returns `object`.\n     */\n    function baseAssignIn(object, source) {\n      return object && copyObject(source, keysIn(source), object);\n    }\n\n    /**\n     * The base implementation of `assignValue` and `assignMergeValue` without\n     * value checks.\n     *\n     * @private\n     * @param {Object} object The object to modify.\n     * @param {string} key The key of the property to assign.\n     * @param {*} value The value to assign.\n     */\n    function baseAssignValue(object, key, value) {\n      if (key == '__proto__' && defineProperty) {\n        defineProperty(object, key, {\n          'configurable': true,\n          'enumerable': true,\n          'value': value,\n          'writable': true\n        });\n      } else {\n        object[key] = value;\n      }\n    }\n\n    /**\n     * The base implementation of `_.at` without support for individual paths.\n     *\n     * @private\n     * @param {Object} object The object to iterate over.\n     * @param {string[]} paths The property paths to pick.\n     * @returns {Array} Returns the picked elements.\n     */\n    function baseAt(object, paths) {\n      var index = -1,\n          length = paths.length,\n          result = Array(length),\n          skip = object == null;\n\n      while (++index < length) {\n        result[index] = skip ? undefined : get(object, paths[index]);\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.clamp` which doesn't coerce arguments.\n     *\n     * @private\n     * @param {number} number The number to clamp.\n     * @param {number} [lower] The lower bound.\n     * @param {number} upper The upper bound.\n     * @returns {number} Returns the clamped number.\n     */\n    function baseClamp(number, lower, upper) {\n      if (number === number) {\n        if (upper !== undefined) {\n          number = number <= upper ? number : upper;\n        }\n        if (lower !== undefined) {\n          number = number >= lower ? number : lower;\n        }\n      }\n      return number;\n    }\n\n    /**\n     * The base implementation of `_.clone` and `_.cloneDeep` which tracks\n     * traversed objects.\n     *\n     * @private\n     * @param {*} value The value to clone.\n     * @param {boolean} bitmask The bitmask flags.\n     *  1 - Deep clone\n     *  2 - Flatten inherited properties\n     *  4 - Clone symbols\n     * @param {Function} [customizer] The function to customize cloning.\n     * @param {string} [key] The key of `value`.\n     * @param {Object} [object] The parent object of `value`.\n     * @param {Object} [stack] Tracks traversed objects and their clone counterparts.\n     * @returns {*} Returns the cloned value.\n     */\n    function baseClone(value, bitmask, customizer, key, object, stack) {\n      var result,\n          isDeep = bitmask & CLONE_DEEP_FLAG,\n          isFlat = bitmask & CLONE_FLAT_FLAG,\n          isFull = bitmask & CLONE_SYMBOLS_FLAG;\n\n      if (customizer) {\n        result = object ? customizer(value, key, object, stack) : customizer(value);\n      }\n      if (result !== undefined) {\n        return result;\n      }\n      if (!isObject(value)) {\n        return value;\n      }\n      var isArr = isArray(value);\n      if (isArr) {\n        result = initCloneArray(value);\n        if (!isDeep) {\n          return copyArray(value, result);\n        }\n      } else {\n        var tag = getTag(value),\n            isFunc = tag == funcTag || tag == genTag;\n\n        if (isBuffer(value)) {\n          return cloneBuffer(value, isDeep);\n        }\n        if (tag == objectTag || tag == argsTag || (isFunc && !object)) {\n          result = (isFlat || isFunc) ? {} : initCloneObject(value);\n          if (!isDeep) {\n            return isFlat\n              ? copySymbolsIn(value, baseAssignIn(result, value))\n              : copySymbols(value, baseAssign(result, value));\n          }\n        } else {\n          if (!cloneableTags[tag]) {\n            return object ? value : {};\n          }\n          result = initCloneByTag(value, tag, isDeep);\n        }\n      }\n      // Check for circular references and return its corresponding clone.\n      stack || (stack = new Stack);\n      var stacked = stack.get(value);\n      if (stacked) {\n        return stacked;\n      }\n      stack.set(value, result);\n\n      if (isSet(value)) {\n        value.forEach(function(subValue) {\n          result.add(baseClone(subValue, bitmask, customizer, subValue, value, stack));\n        });\n      } else if (isMap(value)) {\n        value.forEach(function(subValue, key) {\n          result.set(key, baseClone(subValue, bitmask, customizer, key, value, stack));\n        });\n      }\n\n      var keysFunc = isFull\n        ? (isFlat ? getAllKeysIn : getAllKeys)\n        : (isFlat ? keysIn : keys);\n\n      var props = isArr ? undefined : keysFunc(value);\n      arrayEach(props || value, function(subValue, key) {\n        if (props) {\n          key = subValue;\n          subValue = value[key];\n        }\n        // Recursively populate clone (susceptible to call stack limits).\n        assignValue(result, key, baseClone(subValue, bitmask, customizer, key, value, stack));\n      });\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.conforms` which doesn't clone `source`.\n     *\n     * @private\n     * @param {Object} source The object of property predicates to conform to.\n     * @returns {Function} Returns the new spec function.\n     */\n    function baseConforms(source) {\n      var props = keys(source);\n      return function(object) {\n        return baseConformsTo(object, source, props);\n      };\n    }\n\n    /**\n     * The base implementation of `_.conformsTo` which accepts `props` to check.\n     *\n     * @private\n     * @param {Object} object The object to inspect.\n     * @param {Object} source The object of property predicates to conform to.\n     * @returns {boolean} Returns `true` if `object` conforms, else `false`.\n     */\n    function baseConformsTo(object, source, props) {\n      var length = props.length;\n      if (object == null) {\n        return !length;\n      }\n      object = Object(object);\n      while (length--) {\n        var key = props[length],\n            predicate = source[key],\n            value = object[key];\n\n        if ((value === undefined && !(key in object)) || !predicate(value)) {\n          return false;\n        }\n      }\n      return true;\n    }\n\n    /**\n     * The base implementation of `_.delay` and `_.defer` which accepts `args`\n     * to provide to `func`.\n     *\n     * @private\n     * @param {Function} func The function to delay.\n     * @param {number} wait The number of milliseconds to delay invocation.\n     * @param {Array} args The arguments to provide to `func`.\n     * @returns {number|Object} Returns the timer id or timeout object.\n     */\n    function baseDelay(func, wait, args) {\n      if (typeof func != 'function') {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n      return setTimeout(function() { func.apply(undefined, args); }, wait);\n    }\n\n    /**\n     * The base implementation of methods like `_.difference` without support\n     * for excluding multiple arrays or iteratee shorthands.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {Array} values The values to exclude.\n     * @param {Function} [iteratee] The iteratee invoked per element.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns the new array of filtered values.\n     */\n    function baseDifference(array, values, iteratee, comparator) {\n      var index = -1,\n          includes = arrayIncludes,\n          isCommon = true,\n          length = array.length,\n          result = [],\n          valuesLength = values.length;\n\n      if (!length) {\n        return result;\n      }\n      if (iteratee) {\n        values = arrayMap(values, baseUnary(iteratee));\n      }\n      if (comparator) {\n        includes = arrayIncludesWith;\n        isCommon = false;\n      }\n      else if (values.length >= LARGE_ARRAY_SIZE) {\n        includes = cacheHas;\n        isCommon = false;\n        values = new SetCache(values);\n      }\n      outer:\n      while (++index < length) {\n        var value = array[index],\n            computed = iteratee == null ? value : iteratee(value);\n\n        value = (comparator || value !== 0) ? value : 0;\n        if (isCommon && computed === computed) {\n          var valuesIndex = valuesLength;\n          while (valuesIndex--) {\n            if (values[valuesIndex] === computed) {\n              continue outer;\n            }\n          }\n          result.push(value);\n        }\n        else if (!includes(values, computed, comparator)) {\n          result.push(value);\n        }\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.forEach` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {Array|Object} Returns `collection`.\n     */\n    var baseEach = createBaseEach(baseForOwn);\n\n    /**\n     * The base implementation of `_.forEachRight` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {Array|Object} Returns `collection`.\n     */\n    var baseEachRight = createBaseEach(baseForOwnRight, true);\n\n    /**\n     * The base implementation of `_.every` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} predicate The function invoked per iteration.\n     * @returns {boolean} Returns `true` if all elements pass the predicate check,\n     *  else `false`\n     */\n    function baseEvery(collection, predicate) {\n      var result = true;\n      baseEach(collection, function(value, index, collection) {\n        result = !!predicate(value, index, collection);\n        return result;\n      });\n      return result;\n    }\n\n    /**\n     * The base implementation of methods like `_.max` and `_.min` which accepts a\n     * `comparator` to determine the extremum value.\n     *\n     * @private\n     * @param {Array} array The array to iterate over.\n     * @param {Function} iteratee The iteratee invoked per iteration.\n     * @param {Function} comparator The comparator used to compare values.\n     * @returns {*} Returns the extremum value.\n     */\n    function baseExtremum(array, iteratee, comparator) {\n      var index = -1,\n          length = array.length;\n\n      while (++index < length) {\n        var value = array[index],\n            current = iteratee(value);\n\n        if (current != null && (computed === undefined\n              ? (current === current && !isSymbol(current))\n              : comparator(current, computed)\n            )) {\n          var computed = current,\n              result = value;\n        }\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.fill` without an iteratee call guard.\n     *\n     * @private\n     * @param {Array} array The array to fill.\n     * @param {*} value The value to fill `array` with.\n     * @param {number} [start=0] The start position.\n     * @param {number} [end=array.length] The end position.\n     * @returns {Array} Returns `array`.\n     */\n    function baseFill(array, value, start, end) {\n      var length = array.length;\n\n      start = toInteger(start);\n      if (start < 0) {\n        start = -start > length ? 0 : (length + start);\n      }\n      end = (end === undefined || end > length) ? length : toInteger(end);\n      if (end < 0) {\n        end += length;\n      }\n      end = start > end ? 0 : toLength(end);\n      while (start < end) {\n        array[start++] = value;\n      }\n      return array;\n    }\n\n    /**\n     * The base implementation of `_.filter` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} predicate The function invoked per iteration.\n     * @returns {Array} Returns the new filtered array.\n     */\n    function baseFilter(collection, predicate) {\n      var result = [];\n      baseEach(collection, function(value, index, collection) {\n        if (predicate(value, index, collection)) {\n          result.push(value);\n        }\n      });\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.flatten` with support for restricting flattening.\n     *\n     * @private\n     * @param {Array} array The array to flatten.\n     * @param {number} depth The maximum recursion depth.\n     * @param {boolean} [predicate=isFlattenable] The function invoked per iteration.\n     * @param {boolean} [isStrict] Restrict to values that pass `predicate` checks.\n     * @param {Array} [result=[]] The initial result value.\n     * @returns {Array} Returns the new flattened array.\n     */\n    function baseFlatten(array, depth, predicate, isStrict, result) {\n      var index = -1,\n          length = array.length;\n\n      predicate || (predicate = isFlattenable);\n      result || (result = []);\n\n      while (++index < length) {\n        var value = array[index];\n        if (depth > 0 && predicate(value)) {\n          if (depth > 1) {\n            // Recursively flatten arrays (susceptible to call stack limits).\n            baseFlatten(value, depth - 1, predicate, isStrict, result);\n          } else {\n            arrayPush(result, value);\n          }\n        } else if (!isStrict) {\n          result[result.length] = value;\n        }\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `baseForOwn` which iterates over `object`\n     * properties returned by `keysFunc` and invokes `iteratee` for each property.\n     * Iteratee functions may exit iteration early by explicitly returning `false`.\n     *\n     * @private\n     * @param {Object} object The object to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @param {Function} keysFunc The function to get the keys of `object`.\n     * @returns {Object} Returns `object`.\n     */\n    var baseFor = createBaseFor();\n\n    /**\n     * This function is like `baseFor` except that it iterates over properties\n     * in the opposite order.\n     *\n     * @private\n     * @param {Object} object The object to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @param {Function} keysFunc The function to get the keys of `object`.\n     * @returns {Object} Returns `object`.\n     */\n    var baseForRight = createBaseFor(true);\n\n    /**\n     * The base implementation of `_.forOwn` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Object} object The object to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {Object} Returns `object`.\n     */\n    function baseForOwn(object, iteratee) {\n      return object && baseFor(object, iteratee, keys);\n    }\n\n    /**\n     * The base implementation of `_.forOwnRight` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Object} object The object to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {Object} Returns `object`.\n     */\n    function baseForOwnRight(object, iteratee) {\n      return object && baseForRight(object, iteratee, keys);\n    }\n\n    /**\n     * The base implementation of `_.functions` which creates an array of\n     * `object` function property names filtered from `props`.\n     *\n     * @private\n     * @param {Object} object The object to inspect.\n     * @param {Array} props The property names to filter.\n     * @returns {Array} Returns the function names.\n     */\n    function baseFunctions(object, props) {\n      return arrayFilter(props, function(key) {\n        return isFunction(object[key]);\n      });\n    }\n\n    /**\n     * The base implementation of `_.get` without support for default values.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @param {Array|string} path The path of the property to get.\n     * @returns {*} Returns the resolved value.\n     */\n    function baseGet(object, path) {\n      path = castPath(path, object);\n\n      var index = 0,\n          length = path.length;\n\n      while (object != null && index < length) {\n        object = object[toKey(path[index++])];\n      }\n      return (index && index == length) ? object : undefined;\n    }\n\n    /**\n     * The base implementation of `getAllKeys` and `getAllKeysIn` which uses\n     * `keysFunc` and `symbolsFunc` to get the enumerable property names and\n     * symbols of `object`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @param {Function} keysFunc The function to get the keys of `object`.\n     * @param {Function} symbolsFunc The function to get the symbols of `object`.\n     * @returns {Array} Returns the array of property names and symbols.\n     */\n    function baseGetAllKeys(object, keysFunc, symbolsFunc) {\n      var result = keysFunc(object);\n      return isArray(object) ? result : arrayPush(result, symbolsFunc(object));\n    }\n\n    /**\n     * The base implementation of `getTag` without fallbacks for buggy environments.\n     *\n     * @private\n     * @param {*} value The value to query.\n     * @returns {string} Returns the `toStringTag`.\n     */\n    function baseGetTag(value) {\n      if (value == null) {\n        return value === undefined ? undefinedTag : nullTag;\n      }\n      return (symToStringTag && symToStringTag in Object(value))\n        ? getRawTag(value)\n        : objectToString(value);\n    }\n\n    /**\n     * The base implementation of `_.gt` which doesn't coerce arguments.\n     *\n     * @private\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @returns {boolean} Returns `true` if `value` is greater than `other`,\n     *  else `false`.\n     */\n    function baseGt(value, other) {\n      return value > other;\n    }\n\n    /**\n     * The base implementation of `_.has` without support for deep paths.\n     *\n     * @private\n     * @param {Object} [object] The object to query.\n     * @param {Array|string} key The key to check.\n     * @returns {boolean} Returns `true` if `key` exists, else `false`.\n     */\n    function baseHas(object, key) {\n      return object != null && hasOwnProperty.call(object, key);\n    }\n\n    /**\n     * The base implementation of `_.hasIn` without support for deep paths.\n     *\n     * @private\n     * @param {Object} [object] The object to query.\n     * @param {Array|string} key The key to check.\n     * @returns {boolean} Returns `true` if `key` exists, else `false`.\n     */\n    function baseHasIn(object, key) {\n      return object != null && key in Object(object);\n    }\n\n    /**\n     * The base implementation of `_.inRange` which doesn't coerce arguments.\n     *\n     * @private\n     * @param {number} number The number to check.\n     * @param {number} start The start of the range.\n     * @param {number} end The end of the range.\n     * @returns {boolean} Returns `true` if `number` is in the range, else `false`.\n     */\n    function baseInRange(number, start, end) {\n      return number >= nativeMin(start, end) && number < nativeMax(start, end);\n    }\n\n    /**\n     * The base implementation of methods like `_.intersection`, without support\n     * for iteratee shorthands, that accepts an array of arrays to inspect.\n     *\n     * @private\n     * @param {Array} arrays The arrays to inspect.\n     * @param {Function} [iteratee] The iteratee invoked per element.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns the new array of shared values.\n     */\n    function baseIntersection(arrays, iteratee, comparator) {\n      var includes = comparator ? arrayIncludesWith : arrayIncludes,\n          length = arrays[0].length,\n          othLength = arrays.length,\n          othIndex = othLength,\n          caches = Array(othLength),\n          maxLength = Infinity,\n          result = [];\n\n      while (othIndex--) {\n        var array = arrays[othIndex];\n        if (othIndex && iteratee) {\n          array = arrayMap(array, baseUnary(iteratee));\n        }\n        maxLength = nativeMin(array.length, maxLength);\n        caches[othIndex] = !comparator && (iteratee || (length >= 120 && array.length >= 120))\n          ? new SetCache(othIndex && array)\n          : undefined;\n      }\n      array = arrays[0];\n\n      var index = -1,\n          seen = caches[0];\n\n      outer:\n      while (++index < length && result.length < maxLength) {\n        var value = array[index],\n            computed = iteratee ? iteratee(value) : value;\n\n        value = (comparator || value !== 0) ? value : 0;\n        if (!(seen\n              ? cacheHas(seen, computed)\n              : includes(result, computed, comparator)\n            )) {\n          othIndex = othLength;\n          while (--othIndex) {\n            var cache = caches[othIndex];\n            if (!(cache\n                  ? cacheHas(cache, computed)\n                  : includes(arrays[othIndex], computed, comparator))\n                ) {\n              continue outer;\n            }\n          }\n          if (seen) {\n            seen.push(computed);\n          }\n          result.push(value);\n        }\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.invert` and `_.invertBy` which inverts\n     * `object` with values transformed by `iteratee` and set by `setter`.\n     *\n     * @private\n     * @param {Object} object The object to iterate over.\n     * @param {Function} setter The function to set `accumulator` values.\n     * @param {Function} iteratee The iteratee to transform values.\n     * @param {Object} accumulator The initial inverted object.\n     * @returns {Function} Returns `accumulator`.\n     */\n    function baseInverter(object, setter, iteratee, accumulator) {\n      baseForOwn(object, function(value, key, object) {\n        setter(accumulator, iteratee(value), key, object);\n      });\n      return accumulator;\n    }\n\n    /**\n     * The base implementation of `_.invoke` without support for individual\n     * method arguments.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @param {Array|string} path The path of the method to invoke.\n     * @param {Array} args The arguments to invoke the method with.\n     * @returns {*} Returns the result of the invoked method.\n     */\n    function baseInvoke(object, path, args) {\n      path = castPath(path, object);\n      object = parent(object, path);\n      var func = object == null ? object : object[toKey(last(path))];\n      return func == null ? undefined : apply(func, object, args);\n    }\n\n    /**\n     * The base implementation of `_.isArguments`.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is an `arguments` object,\n     */\n    function baseIsArguments(value) {\n      return isObjectLike(value) && baseGetTag(value) == argsTag;\n    }\n\n    /**\n     * The base implementation of `_.isArrayBuffer` without Node.js optimizations.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is an array buffer, else `false`.\n     */\n    function baseIsArrayBuffer(value) {\n      return isObjectLike(value) && baseGetTag(value) == arrayBufferTag;\n    }\n\n    /**\n     * The base implementation of `_.isDate` without Node.js optimizations.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a date object, else `false`.\n     */\n    function baseIsDate(value) {\n      return isObjectLike(value) && baseGetTag(value) == dateTag;\n    }\n\n    /**\n     * The base implementation of `_.isEqual` which supports partial comparisons\n     * and tracks traversed objects.\n     *\n     * @private\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @param {boolean} bitmask The bitmask flags.\n     *  1 - Unordered comparison\n     *  2 - Partial comparison\n     * @param {Function} [customizer] The function to customize comparisons.\n     * @param {Object} [stack] Tracks traversed `value` and `other` objects.\n     * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n     */\n    function baseIsEqual(value, other, bitmask, customizer, stack) {\n      if (value === other) {\n        return true;\n      }\n      if (value == null || other == null || (!isObjectLike(value) && !isObjectLike(other))) {\n        return value !== value && other !== other;\n      }\n      return baseIsEqualDeep(value, other, bitmask, customizer, baseIsEqual, stack);\n    }\n\n    /**\n     * A specialized version of `baseIsEqual` for arrays and objects which performs\n     * deep comparisons and tracks traversed objects enabling objects with circular\n     * references to be compared.\n     *\n     * @private\n     * @param {Object} object The object to compare.\n     * @param {Object} other The other object to compare.\n     * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details.\n     * @param {Function} customizer The function to customize comparisons.\n     * @param {Function} equalFunc The function to determine equivalents of values.\n     * @param {Object} [stack] Tracks traversed `object` and `other` objects.\n     * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n     */\n    function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) {\n      var objIsArr = isArray(object),\n          othIsArr = isArray(other),\n          objTag = objIsArr ? arrayTag : getTag(object),\n          othTag = othIsArr ? arrayTag : getTag(other);\n\n      objTag = objTag == argsTag ? objectTag : objTag;\n      othTag = othTag == argsTag ? objectTag : othTag;\n\n      var objIsObj = objTag == objectTag,\n          othIsObj = othTag == objectTag,\n          isSameTag = objTag == othTag;\n\n      if (isSameTag && isBuffer(object)) {\n        if (!isBuffer(other)) {\n          return false;\n        }\n        objIsArr = true;\n        objIsObj = false;\n      }\n      if (isSameTag && !objIsObj) {\n        stack || (stack = new Stack);\n        return (objIsArr || isTypedArray(object))\n          ? equalArrays(object, other, bitmask, customizer, equalFunc, stack)\n          : equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack);\n      }\n      if (!(bitmask & COMPARE_PARTIAL_FLAG)) {\n        var objIsWrapped = objIsObj && hasOwnProperty.call(object, '__wrapped__'),\n            othIsWrapped = othIsObj && hasOwnProperty.call(other, '__wrapped__');\n\n        if (objIsWrapped || othIsWrapped) {\n          var objUnwrapped = objIsWrapped ? object.value() : object,\n              othUnwrapped = othIsWrapped ? other.value() : other;\n\n          stack || (stack = new Stack);\n          return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack);\n        }\n      }\n      if (!isSameTag) {\n        return false;\n      }\n      stack || (stack = new Stack);\n      return equalObjects(object, other, bitmask, customizer, equalFunc, stack);\n    }\n\n    /**\n     * The base implementation of `_.isMap` without Node.js optimizations.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a map, else `false`.\n     */\n    function baseIsMap(value) {\n      return isObjectLike(value) && getTag(value) == mapTag;\n    }\n\n    /**\n     * The base implementation of `_.isMatch` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Object} object The object to inspect.\n     * @param {Object} source The object of property values to match.\n     * @param {Array} matchData The property names, values, and compare flags to match.\n     * @param {Function} [customizer] The function to customize comparisons.\n     * @returns {boolean} Returns `true` if `object` is a match, else `false`.\n     */\n    function baseIsMatch(object, source, matchData, customizer) {\n      var index = matchData.length,\n          length = index,\n          noCustomizer = !customizer;\n\n      if (object == null) {\n        return !length;\n      }\n      object = Object(object);\n      while (index--) {\n        var data = matchData[index];\n        if ((noCustomizer && data[2])\n              ? data[1] !== object[data[0]]\n              : !(data[0] in object)\n            ) {\n          return false;\n        }\n      }\n      while (++index < length) {\n        data = matchData[index];\n        var key = data[0],\n            objValue = object[key],\n            srcValue = data[1];\n\n        if (noCustomizer && data[2]) {\n          if (objValue === undefined && !(key in object)) {\n            return false;\n          }\n        } else {\n          var stack = new Stack;\n          if (customizer) {\n            var result = customizer(objValue, srcValue, key, object, source, stack);\n          }\n          if (!(result === undefined\n                ? baseIsEqual(srcValue, objValue, COMPARE_PARTIAL_FLAG | COMPARE_UNORDERED_FLAG, customizer, stack)\n                : result\n              )) {\n            return false;\n          }\n        }\n      }\n      return true;\n    }\n\n    /**\n     * The base implementation of `_.isNative` without bad shim checks.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a native function,\n     *  else `false`.\n     */\n    function baseIsNative(value) {\n      if (!isObject(value) || isMasked(value)) {\n        return false;\n      }\n      var pattern = isFunction(value) ? reIsNative : reIsHostCtor;\n      return pattern.test(toSource(value));\n    }\n\n    /**\n     * The base implementation of `_.isRegExp` without Node.js optimizations.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a regexp, else `false`.\n     */\n    function baseIsRegExp(value) {\n      return isObjectLike(value) && baseGetTag(value) == regexpTag;\n    }\n\n    /**\n     * The base implementation of `_.isSet` without Node.js optimizations.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a set, else `false`.\n     */\n    function baseIsSet(value) {\n      return isObjectLike(value) && getTag(value) == setTag;\n    }\n\n    /**\n     * The base implementation of `_.isTypedArray` without Node.js optimizations.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a typed array, else `false`.\n     */\n    function baseIsTypedArray(value) {\n      return isObjectLike(value) &&\n        isLength(value.length) && !!typedArrayTags[baseGetTag(value)];\n    }\n\n    /**\n     * The base implementation of `_.iteratee`.\n     *\n     * @private\n     * @param {*} [value=_.identity] The value to convert to an iteratee.\n     * @returns {Function} Returns the iteratee.\n     */\n    function baseIteratee(value) {\n      // Don't store the `typeof` result in a variable to avoid a JIT bug in Safari 9.\n      // See https://bugs.webkit.org/show_bug.cgi?id=156034 for more details.\n      if (typeof value == 'function') {\n        return value;\n      }\n      if (value == null) {\n        return identity;\n      }\n      if (typeof value == 'object') {\n        return isArray(value)\n          ? baseMatchesProperty(value[0], value[1])\n          : baseMatches(value);\n      }\n      return property(value);\n    }\n\n    /**\n     * The base implementation of `_.keys` which doesn't treat sparse arrays as dense.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of property names.\n     */\n    function baseKeys(object) {\n      if (!isPrototype(object)) {\n        return nativeKeys(object);\n      }\n      var result = [];\n      for (var key in Object(object)) {\n        if (hasOwnProperty.call(object, key) && key != 'constructor') {\n          result.push(key);\n        }\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.keysIn` which doesn't treat sparse arrays as dense.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of property names.\n     */\n    function baseKeysIn(object) {\n      if (!isObject(object)) {\n        return nativeKeysIn(object);\n      }\n      var isProto = isPrototype(object),\n          result = [];\n\n      for (var key in object) {\n        if (!(key == 'constructor' && (isProto || !hasOwnProperty.call(object, key)))) {\n          result.push(key);\n        }\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.lt` which doesn't coerce arguments.\n     *\n     * @private\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @returns {boolean} Returns `true` if `value` is less than `other`,\n     *  else `false`.\n     */\n    function baseLt(value, other) {\n      return value < other;\n    }\n\n    /**\n     * The base implementation of `_.map` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {Array} Returns the new mapped array.\n     */\n    function baseMap(collection, iteratee) {\n      var index = -1,\n          result = isArrayLike(collection) ? Array(collection.length) : [];\n\n      baseEach(collection, function(value, key, collection) {\n        result[++index] = iteratee(value, key, collection);\n      });\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.matches` which doesn't clone `source`.\n     *\n     * @private\n     * @param {Object} source The object of property values to match.\n     * @returns {Function} Returns the new spec function.\n     */\n    function baseMatches(source) {\n      var matchData = getMatchData(source);\n      if (matchData.length == 1 && matchData[0][2]) {\n        return matchesStrictComparable(matchData[0][0], matchData[0][1]);\n      }\n      return function(object) {\n        return object === source || baseIsMatch(object, source, matchData);\n      };\n    }\n\n    /**\n     * The base implementation of `_.matchesProperty` which doesn't clone `srcValue`.\n     *\n     * @private\n     * @param {string} path The path of the property to get.\n     * @param {*} srcValue The value to match.\n     * @returns {Function} Returns the new spec function.\n     */\n    function baseMatchesProperty(path, srcValue) {\n      if (isKey(path) && isStrictComparable(srcValue)) {\n        return matchesStrictComparable(toKey(path), srcValue);\n      }\n      return function(object) {\n        var objValue = get(object, path);\n        return (objValue === undefined && objValue === srcValue)\n          ? hasIn(object, path)\n          : baseIsEqual(srcValue, objValue, COMPARE_PARTIAL_FLAG | COMPARE_UNORDERED_FLAG);\n      };\n    }\n\n    /**\n     * The base implementation of `_.merge` without support for multiple sources.\n     *\n     * @private\n     * @param {Object} object The destination object.\n     * @param {Object} source The source object.\n     * @param {number} srcIndex The index of `source`.\n     * @param {Function} [customizer] The function to customize merged values.\n     * @param {Object} [stack] Tracks traversed source values and their merged\n     *  counterparts.\n     */\n    function baseMerge(object, source, srcIndex, customizer, stack) {\n      if (object === source) {\n        return;\n      }\n      baseFor(source, function(srcValue, key) {\n        stack || (stack = new Stack);\n        if (isObject(srcValue)) {\n          baseMergeDeep(object, source, key, srcIndex, baseMerge, customizer, stack);\n        }\n        else {\n          var newValue = customizer\n            ? customizer(safeGet(object, key), srcValue, (key + ''), object, source, stack)\n            : undefined;\n\n          if (newValue === undefined) {\n            newValue = srcValue;\n          }\n          assignMergeValue(object, key, newValue);\n        }\n      }, keysIn);\n    }\n\n    /**\n     * A specialized version of `baseMerge` for arrays and objects which performs\n     * deep merges and tracks traversed objects enabling objects with circular\n     * references to be merged.\n     *\n     * @private\n     * @param {Object} object The destination object.\n     * @param {Object} source The source object.\n     * @param {string} key The key of the value to merge.\n     * @param {number} srcIndex The index of `source`.\n     * @param {Function} mergeFunc The function to merge values.\n     * @param {Function} [customizer] The function to customize assigned values.\n     * @param {Object} [stack] Tracks traversed source values and their merged\n     *  counterparts.\n     */\n    function baseMergeDeep(object, source, key, srcIndex, mergeFunc, customizer, stack) {\n      var objValue = safeGet(object, key),\n          srcValue = safeGet(source, key),\n          stacked = stack.get(srcValue);\n\n      if (stacked) {\n        assignMergeValue(object, key, stacked);\n        return;\n      }\n      var newValue = customizer\n        ? customizer(objValue, srcValue, (key + ''), object, source, stack)\n        : undefined;\n\n      var isCommon = newValue === undefined;\n\n      if (isCommon) {\n        var isArr = isArray(srcValue),\n            isBuff = !isArr && isBuffer(srcValue),\n            isTyped = !isArr && !isBuff && isTypedArray(srcValue);\n\n        newValue = srcValue;\n        if (isArr || isBuff || isTyped) {\n          if (isArray(objValue)) {\n            newValue = objValue;\n          }\n          else if (isArrayLikeObject(objValue)) {\n            newValue = copyArray(objValue);\n          }\n          else if (isBuff) {\n            isCommon = false;\n            newValue = cloneBuffer(srcValue, true);\n          }\n          else if (isTyped) {\n            isCommon = false;\n            newValue = cloneTypedArray(srcValue, true);\n          }\n          else {\n            newValue = [];\n          }\n        }\n        else if (isPlainObject(srcValue) || isArguments(srcValue)) {\n          newValue = objValue;\n          if (isArguments(objValue)) {\n            newValue = toPlainObject(objValue);\n          }\n          else if (!isObject(objValue) || isFunction(objValue)) {\n            newValue = initCloneObject(srcValue);\n          }\n        }\n        else {\n          isCommon = false;\n        }\n      }\n      if (isCommon) {\n        // Recursively merge objects and arrays (susceptible to call stack limits).\n        stack.set(srcValue, newValue);\n        mergeFunc(newValue, srcValue, srcIndex, customizer, stack);\n        stack['delete'](srcValue);\n      }\n      assignMergeValue(object, key, newValue);\n    }\n\n    /**\n     * The base implementation of `_.nth` which doesn't coerce arguments.\n     *\n     * @private\n     * @param {Array} array The array to query.\n     * @param {number} n The index of the element to return.\n     * @returns {*} Returns the nth element of `array`.\n     */\n    function baseNth(array, n) {\n      var length = array.length;\n      if (!length) {\n        return;\n      }\n      n += n < 0 ? length : 0;\n      return isIndex(n, length) ? array[n] : undefined;\n    }\n\n    /**\n     * The base implementation of `_.orderBy` without param guards.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function[]|Object[]|string[]} iteratees The iteratees to sort by.\n     * @param {string[]} orders The sort orders of `iteratees`.\n     * @returns {Array} Returns the new sorted array.\n     */\n    function baseOrderBy(collection, iteratees, orders) {\n      if (iteratees.length) {\n        iteratees = arrayMap(iteratees, function(iteratee) {\n          if (isArray(iteratee)) {\n            return function(value) {\n              return baseGet(value, iteratee.length === 1 ? iteratee[0] : iteratee);\n            }\n          }\n          return iteratee;\n        });\n      } else {\n        iteratees = [identity];\n      }\n\n      var index = -1;\n      iteratees = arrayMap(iteratees, baseUnary(getIteratee()));\n\n      var result = baseMap(collection, function(value, key, collection) {\n        var criteria = arrayMap(iteratees, function(iteratee) {\n          return iteratee(value);\n        });\n        return { 'criteria': criteria, 'index': ++index, 'value': value };\n      });\n\n      return baseSortBy(result, function(object, other) {\n        return compareMultiple(object, other, orders);\n      });\n    }\n\n    /**\n     * The base implementation of `_.pick` without support for individual\n     * property identifiers.\n     *\n     * @private\n     * @param {Object} object The source object.\n     * @param {string[]} paths The property paths to pick.\n     * @returns {Object} Returns the new object.\n     */\n    function basePick(object, paths) {\n      return basePickBy(object, paths, function(value, path) {\n        return hasIn(object, path);\n      });\n    }\n\n    /**\n     * The base implementation of  `_.pickBy` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Object} object The source object.\n     * @param {string[]} paths The property paths to pick.\n     * @param {Function} predicate The function invoked per property.\n     * @returns {Object} Returns the new object.\n     */\n    function basePickBy(object, paths, predicate) {\n      var index = -1,\n          length = paths.length,\n          result = {};\n\n      while (++index < length) {\n        var path = paths[index],\n            value = baseGet(object, path);\n\n        if (predicate(value, path)) {\n          baseSet(result, castPath(path, object), value);\n        }\n      }\n      return result;\n    }\n\n    /**\n     * A specialized version of `baseProperty` which supports deep paths.\n     *\n     * @private\n     * @param {Array|string} path The path of the property to get.\n     * @returns {Function} Returns the new accessor function.\n     */\n    function basePropertyDeep(path) {\n      return function(object) {\n        return baseGet(object, path);\n      };\n    }\n\n    /**\n     * The base implementation of `_.pullAllBy` without support for iteratee\n     * shorthands.\n     *\n     * @private\n     * @param {Array} array The array to modify.\n     * @param {Array} values The values to remove.\n     * @param {Function} [iteratee] The iteratee invoked per element.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns `array`.\n     */\n    function basePullAll(array, values, iteratee, comparator) {\n      var indexOf = comparator ? baseIndexOfWith : baseIndexOf,\n          index = -1,\n          length = values.length,\n          seen = array;\n\n      if (array === values) {\n        values = copyArray(values);\n      }\n      if (iteratee) {\n        seen = arrayMap(array, baseUnary(iteratee));\n      }\n      while (++index < length) {\n        var fromIndex = 0,\n            value = values[index],\n            computed = iteratee ? iteratee(value) : value;\n\n        while ((fromIndex = indexOf(seen, computed, fromIndex, comparator)) > -1) {\n          if (seen !== array) {\n            splice.call(seen, fromIndex, 1);\n          }\n          splice.call(array, fromIndex, 1);\n        }\n      }\n      return array;\n    }\n\n    /**\n     * The base implementation of `_.pullAt` without support for individual\n     * indexes or capturing the removed elements.\n     *\n     * @private\n     * @param {Array} array The array to modify.\n     * @param {number[]} indexes The indexes of elements to remove.\n     * @returns {Array} Returns `array`.\n     */\n    function basePullAt(array, indexes) {\n      var length = array ? indexes.length : 0,\n          lastIndex = length - 1;\n\n      while (length--) {\n        var index = indexes[length];\n        if (length == lastIndex || index !== previous) {\n          var previous = index;\n          if (isIndex(index)) {\n            splice.call(array, index, 1);\n          } else {\n            baseUnset(array, index);\n          }\n        }\n      }\n      return array;\n    }\n\n    /**\n     * The base implementation of `_.random` without support for returning\n     * floating-point numbers.\n     *\n     * @private\n     * @param {number} lower The lower bound.\n     * @param {number} upper The upper bound.\n     * @returns {number} Returns the random number.\n     */\n    function baseRandom(lower, upper) {\n      return lower + nativeFloor(nativeRandom() * (upper - lower + 1));\n    }\n\n    /**\n     * The base implementation of `_.range` and `_.rangeRight` which doesn't\n     * coerce arguments.\n     *\n     * @private\n     * @param {number} start The start of the range.\n     * @param {number} end The end of the range.\n     * @param {number} step The value to increment or decrement by.\n     * @param {boolean} [fromRight] Specify iterating from right to left.\n     * @returns {Array} Returns the range of numbers.\n     */\n    function baseRange(start, end, step, fromRight) {\n      var index = -1,\n          length = nativeMax(nativeCeil((end - start) / (step || 1)), 0),\n          result = Array(length);\n\n      while (length--) {\n        result[fromRight ? length : ++index] = start;\n        start += step;\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.repeat` which doesn't coerce arguments.\n     *\n     * @private\n     * @param {string} string The string to repeat.\n     * @param {number} n The number of times to repeat the string.\n     * @returns {string} Returns the repeated string.\n     */\n    function baseRepeat(string, n) {\n      var result = '';\n      if (!string || n < 1 || n > MAX_SAFE_INTEGER) {\n        return result;\n      }\n      // Leverage the exponentiation by squaring algorithm for a faster repeat.\n      // See https://en.wikipedia.org/wiki/Exponentiation_by_squaring for more details.\n      do {\n        if (n % 2) {\n          result += string;\n        }\n        n = nativeFloor(n / 2);\n        if (n) {\n          string += string;\n        }\n      } while (n);\n\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.rest` which doesn't validate or coerce arguments.\n     *\n     * @private\n     * @param {Function} func The function to apply a rest parameter to.\n     * @param {number} [start=func.length-1] The start position of the rest parameter.\n     * @returns {Function} Returns the new function.\n     */\n    function baseRest(func, start) {\n      return setToString(overRest(func, start, identity), func + '');\n    }\n\n    /**\n     * The base implementation of `_.sample`.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to sample.\n     * @returns {*} Returns the random element.\n     */\n    function baseSample(collection) {\n      return arraySample(values(collection));\n    }\n\n    /**\n     * The base implementation of `_.sampleSize` without param guards.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to sample.\n     * @param {number} n The number of elements to sample.\n     * @returns {Array} Returns the random elements.\n     */\n    function baseSampleSize(collection, n) {\n      var array = values(collection);\n      return shuffleSelf(array, baseClamp(n, 0, array.length));\n    }\n\n    /**\n     * The base implementation of `_.set`.\n     *\n     * @private\n     * @param {Object} object The object to modify.\n     * @param {Array|string} path The path of the property to set.\n     * @param {*} value The value to set.\n     * @param {Function} [customizer] The function to customize path creation.\n     * @returns {Object} Returns `object`.\n     */\n    function baseSet(object, path, value, customizer) {\n      if (!isObject(object)) {\n        return object;\n      }\n      path = castPath(path, object);\n\n      var index = -1,\n          length = path.length,\n          lastIndex = length - 1,\n          nested = object;\n\n      while (nested != null && ++index < length) {\n        var key = toKey(path[index]),\n            newValue = value;\n\n        if (key === '__proto__' || key === 'constructor' || key === 'prototype') {\n          return object;\n        }\n\n        if (index != lastIndex) {\n          var objValue = nested[key];\n          newValue = customizer ? customizer(objValue, key, nested) : undefined;\n          if (newValue === undefined) {\n            newValue = isObject(objValue)\n              ? objValue\n              : (isIndex(path[index + 1]) ? [] : {});\n          }\n        }\n        assignValue(nested, key, newValue);\n        nested = nested[key];\n      }\n      return object;\n    }\n\n    /**\n     * The base implementation of `setData` without support for hot loop shorting.\n     *\n     * @private\n     * @param {Function} func The function to associate metadata with.\n     * @param {*} data The metadata.\n     * @returns {Function} Returns `func`.\n     */\n    var baseSetData = !metaMap ? identity : function(func, data) {\n      metaMap.set(func, data);\n      return func;\n    };\n\n    /**\n     * The base implementation of `setToString` without support for hot loop shorting.\n     *\n     * @private\n     * @param {Function} func The function to modify.\n     * @param {Function} string The `toString` result.\n     * @returns {Function} Returns `func`.\n     */\n    var baseSetToString = !defineProperty ? identity : function(func, string) {\n      return defineProperty(func, 'toString', {\n        'configurable': true,\n        'enumerable': false,\n        'value': constant(string),\n        'writable': true\n      });\n    };\n\n    /**\n     * The base implementation of `_.shuffle`.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to shuffle.\n     * @returns {Array} Returns the new shuffled array.\n     */\n    function baseShuffle(collection) {\n      return shuffleSelf(values(collection));\n    }\n\n    /**\n     * The base implementation of `_.slice` without an iteratee call guard.\n     *\n     * @private\n     * @param {Array} array The array to slice.\n     * @param {number} [start=0] The start position.\n     * @param {number} [end=array.length] The end position.\n     * @returns {Array} Returns the slice of `array`.\n     */\n    function baseSlice(array, start, end) {\n      var index = -1,\n          length = array.length;\n\n      if (start < 0) {\n        start = -start > length ? 0 : (length + start);\n      }\n      end = end > length ? length : end;\n      if (end < 0) {\n        end += length;\n      }\n      length = start > end ? 0 : ((end - start) >>> 0);\n      start >>>= 0;\n\n      var result = Array(length);\n      while (++index < length) {\n        result[index] = array[index + start];\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.some` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} predicate The function invoked per iteration.\n     * @returns {boolean} Returns `true` if any element passes the predicate check,\n     *  else `false`.\n     */\n    function baseSome(collection, predicate) {\n      var result;\n\n      baseEach(collection, function(value, index, collection) {\n        result = predicate(value, index, collection);\n        return !result;\n      });\n      return !!result;\n    }\n\n    /**\n     * The base implementation of `_.sortedIndex` and `_.sortedLastIndex` which\n     * performs a binary search of `array` to determine the index at which `value`\n     * should be inserted into `array` in order to maintain its sort order.\n     *\n     * @private\n     * @param {Array} array The sorted array to inspect.\n     * @param {*} value The value to evaluate.\n     * @param {boolean} [retHighest] Specify returning the highest qualified index.\n     * @returns {number} Returns the index at which `value` should be inserted\n     *  into `array`.\n     */\n    function baseSortedIndex(array, value, retHighest) {\n      var low = 0,\n          high = array == null ? low : array.length;\n\n      if (typeof value == 'number' && value === value && high <= HALF_MAX_ARRAY_LENGTH) {\n        while (low < high) {\n          var mid = (low + high) >>> 1,\n              computed = array[mid];\n\n          if (computed !== null && !isSymbol(computed) &&\n              (retHighest ? (computed <= value) : (computed < value))) {\n            low = mid + 1;\n          } else {\n            high = mid;\n          }\n        }\n        return high;\n      }\n      return baseSortedIndexBy(array, value, identity, retHighest);\n    }\n\n    /**\n     * The base implementation of `_.sortedIndexBy` and `_.sortedLastIndexBy`\n     * which invokes `iteratee` for `value` and each element of `array` to compute\n     * their sort ranking. The iteratee is invoked with one argument; (value).\n     *\n     * @private\n     * @param {Array} array The sorted array to inspect.\n     * @param {*} value The value to evaluate.\n     * @param {Function} iteratee The iteratee invoked per element.\n     * @param {boolean} [retHighest] Specify returning the highest qualified index.\n     * @returns {number} Returns the index at which `value` should be inserted\n     *  into `array`.\n     */\n    function baseSortedIndexBy(array, value, iteratee, retHighest) {\n      var low = 0,\n          high = array == null ? 0 : array.length;\n      if (high === 0) {\n        return 0;\n      }\n\n      value = iteratee(value);\n      var valIsNaN = value !== value,\n          valIsNull = value === null,\n          valIsSymbol = isSymbol(value),\n          valIsUndefined = value === undefined;\n\n      while (low < high) {\n        var mid = nativeFloor((low + high) / 2),\n            computed = iteratee(array[mid]),\n            othIsDefined = computed !== undefined,\n            othIsNull = computed === null,\n            othIsReflexive = computed === computed,\n            othIsSymbol = isSymbol(computed);\n\n        if (valIsNaN) {\n          var setLow = retHighest || othIsReflexive;\n        } else if (valIsUndefined) {\n          setLow = othIsReflexive && (retHighest || othIsDefined);\n        } else if (valIsNull) {\n          setLow = othIsReflexive && othIsDefined && (retHighest || !othIsNull);\n        } else if (valIsSymbol) {\n          setLow = othIsReflexive && othIsDefined && !othIsNull && (retHighest || !othIsSymbol);\n        } else if (othIsNull || othIsSymbol) {\n          setLow = false;\n        } else {\n          setLow = retHighest ? (computed <= value) : (computed < value);\n        }\n        if (setLow) {\n          low = mid + 1;\n        } else {\n          high = mid;\n        }\n      }\n      return nativeMin(high, MAX_ARRAY_INDEX);\n    }\n\n    /**\n     * The base implementation of `_.sortedUniq` and `_.sortedUniqBy` without\n     * support for iteratee shorthands.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {Function} [iteratee] The iteratee invoked per element.\n     * @returns {Array} Returns the new duplicate free array.\n     */\n    function baseSortedUniq(array, iteratee) {\n      var index = -1,\n          length = array.length,\n          resIndex = 0,\n          result = [];\n\n      while (++index < length) {\n        var value = array[index],\n            computed = iteratee ? iteratee(value) : value;\n\n        if (!index || !eq(computed, seen)) {\n          var seen = computed;\n          result[resIndex++] = value === 0 ? 0 : value;\n        }\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.toNumber` which doesn't ensure correct\n     * conversions of binary, hexadecimal, or octal string values.\n     *\n     * @private\n     * @param {*} value The value to process.\n     * @returns {number} Returns the number.\n     */\n    function baseToNumber(value) {\n      if (typeof value == 'number') {\n        return value;\n      }\n      if (isSymbol(value)) {\n        return NAN;\n      }\n      return +value;\n    }\n\n    /**\n     * The base implementation of `_.toString` which doesn't convert nullish\n     * values to empty strings.\n     *\n     * @private\n     * @param {*} value The value to process.\n     * @returns {string} Returns the string.\n     */\n    function baseToString(value) {\n      // Exit early for strings to avoid a performance hit in some environments.\n      if (typeof value == 'string') {\n        return value;\n      }\n      if (isArray(value)) {\n        // Recursively convert values (susceptible to call stack limits).\n        return arrayMap(value, baseToString) + '';\n      }\n      if (isSymbol(value)) {\n        return symbolToString ? symbolToString.call(value) : '';\n      }\n      var result = (value + '');\n      return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result;\n    }\n\n    /**\n     * The base implementation of `_.uniqBy` without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {Function} [iteratee] The iteratee invoked per element.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns the new duplicate free array.\n     */\n    function baseUniq(array, iteratee, comparator) {\n      var index = -1,\n          includes = arrayIncludes,\n          length = array.length,\n          isCommon = true,\n          result = [],\n          seen = result;\n\n      if (comparator) {\n        isCommon = false;\n        includes = arrayIncludesWith;\n      }\n      else if (length >= LARGE_ARRAY_SIZE) {\n        var set = iteratee ? null : createSet(array);\n        if (set) {\n          return setToArray(set);\n        }\n        isCommon = false;\n        includes = cacheHas;\n        seen = new SetCache;\n      }\n      else {\n        seen = iteratee ? [] : result;\n      }\n      outer:\n      while (++index < length) {\n        var value = array[index],\n            computed = iteratee ? iteratee(value) : value;\n\n        value = (comparator || value !== 0) ? value : 0;\n        if (isCommon && computed === computed) {\n          var seenIndex = seen.length;\n          while (seenIndex--) {\n            if (seen[seenIndex] === computed) {\n              continue outer;\n            }\n          }\n          if (iteratee) {\n            seen.push(computed);\n          }\n          result.push(value);\n        }\n        else if (!includes(seen, computed, comparator)) {\n          if (seen !== result) {\n            seen.push(computed);\n          }\n          result.push(value);\n        }\n      }\n      return result;\n    }\n\n    /**\n     * The base implementation of `_.unset`.\n     *\n     * @private\n     * @param {Object} object The object to modify.\n     * @param {Array|string} path The property path to unset.\n     * @returns {boolean} Returns `true` if the property is deleted, else `false`.\n     */\n    function baseUnset(object, path) {\n      path = castPath(path, object);\n      object = parent(object, path);\n      return object == null || delete object[toKey(last(path))];\n    }\n\n    /**\n     * The base implementation of `_.update`.\n     *\n     * @private\n     * @param {Object} object The object to modify.\n     * @param {Array|string} path The path of the property to update.\n     * @param {Function} updater The function to produce the updated value.\n     * @param {Function} [customizer] The function to customize path creation.\n     * @returns {Object} Returns `object`.\n     */\n    function baseUpdate(object, path, updater, customizer) {\n      return baseSet(object, path, updater(baseGet(object, path)), customizer);\n    }\n\n    /**\n     * The base implementation of methods like `_.dropWhile` and `_.takeWhile`\n     * without support for iteratee shorthands.\n     *\n     * @private\n     * @param {Array} array The array to query.\n     * @param {Function} predicate The function invoked per iteration.\n     * @param {boolean} [isDrop] Specify dropping elements instead of taking them.\n     * @param {boolean} [fromRight] Specify iterating from right to left.\n     * @returns {Array} Returns the slice of `array`.\n     */\n    function baseWhile(array, predicate, isDrop, fromRight) {\n      var length = array.length,\n          index = fromRight ? length : -1;\n\n      while ((fromRight ? index-- : ++index < length) &&\n        predicate(array[index], index, array)) {}\n\n      return isDrop\n        ? baseSlice(array, (fromRight ? 0 : index), (fromRight ? index + 1 : length))\n        : baseSlice(array, (fromRight ? index + 1 : 0), (fromRight ? length : index));\n    }\n\n    /**\n     * The base implementation of `wrapperValue` which returns the result of\n     * performing a sequence of actions on the unwrapped `value`, where each\n     * successive action is supplied the return value of the previous.\n     *\n     * @private\n     * @param {*} value The unwrapped value.\n     * @param {Array} actions Actions to perform to resolve the unwrapped value.\n     * @returns {*} Returns the resolved value.\n     */\n    function baseWrapperValue(value, actions) {\n      var result = value;\n      if (result instanceof LazyWrapper) {\n        result = result.value();\n      }\n      return arrayReduce(actions, function(result, action) {\n        return action.func.apply(action.thisArg, arrayPush([result], action.args));\n      }, result);\n    }\n\n    /**\n     * The base implementation of methods like `_.xor`, without support for\n     * iteratee shorthands, that accepts an array of arrays to inspect.\n     *\n     * @private\n     * @param {Array} arrays The arrays to inspect.\n     * @param {Function} [iteratee] The iteratee invoked per element.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns the new array of values.\n     */\n    function baseXor(arrays, iteratee, comparator) {\n      var length = arrays.length;\n      if (length < 2) {\n        return length ? baseUniq(arrays[0]) : [];\n      }\n      var index = -1,\n          result = Array(length);\n\n      while (++index < length) {\n        var array = arrays[index],\n            othIndex = -1;\n\n        while (++othIndex < length) {\n          if (othIndex != index) {\n            result[index] = baseDifference(result[index] || array, arrays[othIndex], iteratee, comparator);\n          }\n        }\n      }\n      return baseUniq(baseFlatten(result, 1), iteratee, comparator);\n    }\n\n    /**\n     * This base implementation of `_.zipObject` which assigns values using `assignFunc`.\n     *\n     * @private\n     * @param {Array} props The property identifiers.\n     * @param {Array} values The property values.\n     * @param {Function} assignFunc The function to assign values.\n     * @returns {Object} Returns the new object.\n     */\n    function baseZipObject(props, values, assignFunc) {\n      var index = -1,\n          length = props.length,\n          valsLength = values.length,\n          result = {};\n\n      while (++index < length) {\n        var value = index < valsLength ? values[index] : undefined;\n        assignFunc(result, props[index], value);\n      }\n      return result;\n    }\n\n    /**\n     * Casts `value` to an empty array if it's not an array like object.\n     *\n     * @private\n     * @param {*} value The value to inspect.\n     * @returns {Array|Object} Returns the cast array-like object.\n     */\n    function castArrayLikeObject(value) {\n      return isArrayLikeObject(value) ? value : [];\n    }\n\n    /**\n     * Casts `value` to `identity` if it's not a function.\n     *\n     * @private\n     * @param {*} value The value to inspect.\n     * @returns {Function} Returns cast function.\n     */\n    function castFunction(value) {\n      return typeof value == 'function' ? value : identity;\n    }\n\n    /**\n     * Casts `value` to a path array if it's not one.\n     *\n     * @private\n     * @param {*} value The value to inspect.\n     * @param {Object} [object] The object to query keys on.\n     * @returns {Array} Returns the cast property path array.\n     */\n    function castPath(value, object) {\n      if (isArray(value)) {\n        return value;\n      }\n      return isKey(value, object) ? [value] : stringToPath(toString(value));\n    }\n\n    /**\n     * A `baseRest` alias which can be replaced with `identity` by module\n     * replacement plugins.\n     *\n     * @private\n     * @type {Function}\n     * @param {Function} func The function to apply a rest parameter to.\n     * @returns {Function} Returns the new function.\n     */\n    var castRest = baseRest;\n\n    /**\n     * Casts `array` to a slice if it's needed.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {number} start The start position.\n     * @param {number} [end=array.length] The end position.\n     * @returns {Array} Returns the cast slice.\n     */\n    function castSlice(array, start, end) {\n      var length = array.length;\n      end = end === undefined ? length : end;\n      return (!start && end >= length) ? array : baseSlice(array, start, end);\n    }\n\n    /**\n     * A simple wrapper around the global [`clearTimeout`](https://mdn.io/clearTimeout).\n     *\n     * @private\n     * @param {number|Object} id The timer id or timeout object of the timer to clear.\n     */\n    var clearTimeout = ctxClearTimeout || function(id) {\n      return root.clearTimeout(id);\n    };\n\n    /**\n     * Creates a clone of  `buffer`.\n     *\n     * @private\n     * @param {Buffer} buffer The buffer to clone.\n     * @param {boolean} [isDeep] Specify a deep clone.\n     * @returns {Buffer} Returns the cloned buffer.\n     */\n    function cloneBuffer(buffer, isDeep) {\n      if (isDeep) {\n        return buffer.slice();\n      }\n      var length = buffer.length,\n          result = allocUnsafe ? allocUnsafe(length) : new buffer.constructor(length);\n\n      buffer.copy(result);\n      return result;\n    }\n\n    /**\n     * Creates a clone of `arrayBuffer`.\n     *\n     * @private\n     * @param {ArrayBuffer} arrayBuffer The array buffer to clone.\n     * @returns {ArrayBuffer} Returns the cloned array buffer.\n     */\n    function cloneArrayBuffer(arrayBuffer) {\n      var result = new arrayBuffer.constructor(arrayBuffer.byteLength);\n      new Uint8Array(result).set(new Uint8Array(arrayBuffer));\n      return result;\n    }\n\n    /**\n     * Creates a clone of `dataView`.\n     *\n     * @private\n     * @param {Object} dataView The data view to clone.\n     * @param {boolean} [isDeep] Specify a deep clone.\n     * @returns {Object} Returns the cloned data view.\n     */\n    function cloneDataView(dataView, isDeep) {\n      var buffer = isDeep ? cloneArrayBuffer(dataView.buffer) : dataView.buffer;\n      return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength);\n    }\n\n    /**\n     * Creates a clone of `regexp`.\n     *\n     * @private\n     * @param {Object} regexp The regexp to clone.\n     * @returns {Object} Returns the cloned regexp.\n     */\n    function cloneRegExp(regexp) {\n      var result = new regexp.constructor(regexp.source, reFlags.exec(regexp));\n      result.lastIndex = regexp.lastIndex;\n      return result;\n    }\n\n    /**\n     * Creates a clone of the `symbol` object.\n     *\n     * @private\n     * @param {Object} symbol The symbol object to clone.\n     * @returns {Object} Returns the cloned symbol object.\n     */\n    function cloneSymbol(symbol) {\n      return symbolValueOf ? Object(symbolValueOf.call(symbol)) : {};\n    }\n\n    /**\n     * Creates a clone of `typedArray`.\n     *\n     * @private\n     * @param {Object} typedArray The typed array to clone.\n     * @param {boolean} [isDeep] Specify a deep clone.\n     * @returns {Object} Returns the cloned typed array.\n     */\n    function cloneTypedArray(typedArray, isDeep) {\n      var buffer = isDeep ? cloneArrayBuffer(typedArray.buffer) : typedArray.buffer;\n      return new typedArray.constructor(buffer, typedArray.byteOffset, typedArray.length);\n    }\n\n    /**\n     * Compares values to sort them in ascending order.\n     *\n     * @private\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @returns {number} Returns the sort order indicator for `value`.\n     */\n    function compareAscending(value, other) {\n      if (value !== other) {\n        var valIsDefined = value !== undefined,\n            valIsNull = value === null,\n            valIsReflexive = value === value,\n            valIsSymbol = isSymbol(value);\n\n        var othIsDefined = other !== undefined,\n            othIsNull = other === null,\n            othIsReflexive = other === other,\n            othIsSymbol = isSymbol(other);\n\n        if ((!othIsNull && !othIsSymbol && !valIsSymbol && value > other) ||\n            (valIsSymbol && othIsDefined && othIsReflexive && !othIsNull && !othIsSymbol) ||\n            (valIsNull && othIsDefined && othIsReflexive) ||\n            (!valIsDefined && othIsReflexive) ||\n            !valIsReflexive) {\n          return 1;\n        }\n        if ((!valIsNull && !valIsSymbol && !othIsSymbol && value < other) ||\n            (othIsSymbol && valIsDefined && valIsReflexive && !valIsNull && !valIsSymbol) ||\n            (othIsNull && valIsDefined && valIsReflexive) ||\n            (!othIsDefined && valIsReflexive) ||\n            !othIsReflexive) {\n          return -1;\n        }\n      }\n      return 0;\n    }\n\n    /**\n     * Used by `_.orderBy` to compare multiple properties of a value to another\n     * and stable sort them.\n     *\n     * If `orders` is unspecified, all values are sorted in ascending order. Otherwise,\n     * specify an order of \"desc\" for descending or \"asc\" for ascending sort order\n     * of corresponding values.\n     *\n     * @private\n     * @param {Object} object The object to compare.\n     * @param {Object} other The other object to compare.\n     * @param {boolean[]|string[]} orders The order to sort by for each property.\n     * @returns {number} Returns the sort order indicator for `object`.\n     */\n    function compareMultiple(object, other, orders) {\n      var index = -1,\n          objCriteria = object.criteria,\n          othCriteria = other.criteria,\n          length = objCriteria.length,\n          ordersLength = orders.length;\n\n      while (++index < length) {\n        var result = compareAscending(objCriteria[index], othCriteria[index]);\n        if (result) {\n          if (index >= ordersLength) {\n            return result;\n          }\n          var order = orders[index];\n          return result * (order == 'desc' ? -1 : 1);\n        }\n      }\n      // Fixes an `Array#sort` bug in the JS engine embedded in Adobe applications\n      // that causes it, under certain circumstances, to provide the same value for\n      // `object` and `other`. See https://github.com/jashkenas/underscore/pull/1247\n      // for more details.\n      //\n      // This also ensures a stable sort in V8 and other engines.\n      // See https://bugs.chromium.org/p/v8/issues/detail?id=90 for more details.\n      return object.index - other.index;\n    }\n\n    /**\n     * Creates an array that is the composition of partially applied arguments,\n     * placeholders, and provided arguments into a single array of arguments.\n     *\n     * @private\n     * @param {Array} args The provided arguments.\n     * @param {Array} partials The arguments to prepend to those provided.\n     * @param {Array} holders The `partials` placeholder indexes.\n     * @params {boolean} [isCurried] Specify composing for a curried function.\n     * @returns {Array} Returns the new array of composed arguments.\n     */\n    function composeArgs(args, partials, holders, isCurried) {\n      var argsIndex = -1,\n          argsLength = args.length,\n          holdersLength = holders.length,\n          leftIndex = -1,\n          leftLength = partials.length,\n          rangeLength = nativeMax(argsLength - holdersLength, 0),\n          result = Array(leftLength + rangeLength),\n          isUncurried = !isCurried;\n\n      while (++leftIndex < leftLength) {\n        result[leftIndex] = partials[leftIndex];\n      }\n      while (++argsIndex < holdersLength) {\n        if (isUncurried || argsIndex < argsLength) {\n          result[holders[argsIndex]] = args[argsIndex];\n        }\n      }\n      while (rangeLength--) {\n        result[leftIndex++] = args[argsIndex++];\n      }\n      return result;\n    }\n\n    /**\n     * This function is like `composeArgs` except that the arguments composition\n     * is tailored for `_.partialRight`.\n     *\n     * @private\n     * @param {Array} args The provided arguments.\n     * @param {Array} partials The arguments to append to those provided.\n     * @param {Array} holders The `partials` placeholder indexes.\n     * @params {boolean} [isCurried] Specify composing for a curried function.\n     * @returns {Array} Returns the new array of composed arguments.\n     */\n    function composeArgsRight(args, partials, holders, isCurried) {\n      var argsIndex = -1,\n          argsLength = args.length,\n          holdersIndex = -1,\n          holdersLength = holders.length,\n          rightIndex = -1,\n          rightLength = partials.length,\n          rangeLength = nativeMax(argsLength - holdersLength, 0),\n          result = Array(rangeLength + rightLength),\n          isUncurried = !isCurried;\n\n      while (++argsIndex < rangeLength) {\n        result[argsIndex] = args[argsIndex];\n      }\n      var offset = argsIndex;\n      while (++rightIndex < rightLength) {\n        result[offset + rightIndex] = partials[rightIndex];\n      }\n      while (++holdersIndex < holdersLength) {\n        if (isUncurried || argsIndex < argsLength) {\n          result[offset + holders[holdersIndex]] = args[argsIndex++];\n        }\n      }\n      return result;\n    }\n\n    /**\n     * Copies the values of `source` to `array`.\n     *\n     * @private\n     * @param {Array} source The array to copy values from.\n     * @param {Array} [array=[]] The array to copy values to.\n     * @returns {Array} Returns `array`.\n     */\n    function copyArray(source, array) {\n      var index = -1,\n          length = source.length;\n\n      array || (array = Array(length));\n      while (++index < length) {\n        array[index] = source[index];\n      }\n      return array;\n    }\n\n    /**\n     * Copies properties of `source` to `object`.\n     *\n     * @private\n     * @param {Object} source The object to copy properties from.\n     * @param {Array} props The property identifiers to copy.\n     * @param {Object} [object={}] The object to copy properties to.\n     * @param {Function} [customizer] The function to customize copied values.\n     * @returns {Object} Returns `object`.\n     */\n    function copyObject(source, props, object, customizer) {\n      var isNew = !object;\n      object || (object = {});\n\n      var index = -1,\n          length = props.length;\n\n      while (++index < length) {\n        var key = props[index];\n\n        var newValue = customizer\n          ? customizer(object[key], source[key], key, object, source)\n          : undefined;\n\n        if (newValue === undefined) {\n          newValue = source[key];\n        }\n        if (isNew) {\n          baseAssignValue(object, key, newValue);\n        } else {\n          assignValue(object, key, newValue);\n        }\n      }\n      return object;\n    }\n\n    /**\n     * Copies own symbols of `source` to `object`.\n     *\n     * @private\n     * @param {Object} source The object to copy symbols from.\n     * @param {Object} [object={}] The object to copy symbols to.\n     * @returns {Object} Returns `object`.\n     */\n    function copySymbols(source, object) {\n      return copyObject(source, getSymbols(source), object);\n    }\n\n    /**\n     * Copies own and inherited symbols of `source` to `object`.\n     *\n     * @private\n     * @param {Object} source The object to copy symbols from.\n     * @param {Object} [object={}] The object to copy symbols to.\n     * @returns {Object} Returns `object`.\n     */\n    function copySymbolsIn(source, object) {\n      return copyObject(source, getSymbolsIn(source), object);\n    }\n\n    /**\n     * Creates a function like `_.groupBy`.\n     *\n     * @private\n     * @param {Function} setter The function to set accumulator values.\n     * @param {Function} [initializer] The accumulator object initializer.\n     * @returns {Function} Returns the new aggregator function.\n     */\n    function createAggregator(setter, initializer) {\n      return function(collection, iteratee) {\n        var func = isArray(collection) ? arrayAggregator : baseAggregator,\n            accumulator = initializer ? initializer() : {};\n\n        return func(collection, setter, getIteratee(iteratee, 2), accumulator);\n      };\n    }\n\n    /**\n     * Creates a function like `_.assign`.\n     *\n     * @private\n     * @param {Function} assigner The function to assign values.\n     * @returns {Function} Returns the new assigner function.\n     */\n    function createAssigner(assigner) {\n      return baseRest(function(object, sources) {\n        var index = -1,\n            length = sources.length,\n            customizer = length > 1 ? sources[length - 1] : undefined,\n            guard = length > 2 ? sources[2] : undefined;\n\n        customizer = (assigner.length > 3 && typeof customizer == 'function')\n          ? (length--, customizer)\n          : undefined;\n\n        if (guard && isIterateeCall(sources[0], sources[1], guard)) {\n          customizer = length < 3 ? undefined : customizer;\n          length = 1;\n        }\n        object = Object(object);\n        while (++index < length) {\n          var source = sources[index];\n          if (source) {\n            assigner(object, source, index, customizer);\n          }\n        }\n        return object;\n      });\n    }\n\n    /**\n     * Creates a `baseEach` or `baseEachRight` function.\n     *\n     * @private\n     * @param {Function} eachFunc The function to iterate over a collection.\n     * @param {boolean} [fromRight] Specify iterating from right to left.\n     * @returns {Function} Returns the new base function.\n     */\n    function createBaseEach(eachFunc, fromRight) {\n      return function(collection, iteratee) {\n        if (collection == null) {\n          return collection;\n        }\n        if (!isArrayLike(collection)) {\n          return eachFunc(collection, iteratee);\n        }\n        var length = collection.length,\n            index = fromRight ? length : -1,\n            iterable = Object(collection);\n\n        while ((fromRight ? index-- : ++index < length)) {\n          if (iteratee(iterable[index], index, iterable) === false) {\n            break;\n          }\n        }\n        return collection;\n      };\n    }\n\n    /**\n     * Creates a base function for methods like `_.forIn` and `_.forOwn`.\n     *\n     * @private\n     * @param {boolean} [fromRight] Specify iterating from right to left.\n     * @returns {Function} Returns the new base function.\n     */\n    function createBaseFor(fromRight) {\n      return function(object, iteratee, keysFunc) {\n        var index = -1,\n            iterable = Object(object),\n            props = keysFunc(object),\n            length = props.length;\n\n        while (length--) {\n          var key = props[fromRight ? length : ++index];\n          if (iteratee(iterable[key], key, iterable) === false) {\n            break;\n          }\n        }\n        return object;\n      };\n    }\n\n    /**\n     * Creates a function that wraps `func` to invoke it with the optional `this`\n     * binding of `thisArg`.\n     *\n     * @private\n     * @param {Function} func The function to wrap.\n     * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n     * @param {*} [thisArg] The `this` binding of `func`.\n     * @returns {Function} Returns the new wrapped function.\n     */\n    function createBind(func, bitmask, thisArg) {\n      var isBind = bitmask & WRAP_BIND_FLAG,\n          Ctor = createCtor(func);\n\n      function wrapper() {\n        var fn = (this && this !== root && this instanceof wrapper) ? Ctor : func;\n        return fn.apply(isBind ? thisArg : this, arguments);\n      }\n      return wrapper;\n    }\n\n    /**\n     * Creates a function like `_.lowerFirst`.\n     *\n     * @private\n     * @param {string} methodName The name of the `String` case method to use.\n     * @returns {Function} Returns the new case function.\n     */\n    function createCaseFirst(methodName) {\n      return function(string) {\n        string = toString(string);\n\n        var strSymbols = hasUnicode(string)\n          ? stringToArray(string)\n          : undefined;\n\n        var chr = strSymbols\n          ? strSymbols[0]\n          : string.charAt(0);\n\n        var trailing = strSymbols\n          ? castSlice(strSymbols, 1).join('')\n          : string.slice(1);\n\n        return chr[methodName]() + trailing;\n      };\n    }\n\n    /**\n     * Creates a function like `_.camelCase`.\n     *\n     * @private\n     * @param {Function} callback The function to combine each word.\n     * @returns {Function} Returns the new compounder function.\n     */\n    function createCompounder(callback) {\n      return function(string) {\n        return arrayReduce(words(deburr(string).replace(reApos, '')), callback, '');\n      };\n    }\n\n    /**\n     * Creates a function that produces an instance of `Ctor` regardless of\n     * whether it was invoked as part of a `new` expression or by `call` or `apply`.\n     *\n     * @private\n     * @param {Function} Ctor The constructor to wrap.\n     * @returns {Function} Returns the new wrapped function.\n     */\n    function createCtor(Ctor) {\n      return function() {\n        // Use a `switch` statement to work with class constructors. See\n        // http://ecma-international.org/ecma-262/7.0/#sec-ecmascript-function-objects-call-thisargument-argumentslist\n        // for more details.\n        var args = arguments;\n        switch (args.length) {\n          case 0: return new Ctor;\n          case 1: return new Ctor(args[0]);\n          case 2: return new Ctor(args[0], args[1]);\n          case 3: return new Ctor(args[0], args[1], args[2]);\n          case 4: return new Ctor(args[0], args[1], args[2], args[3]);\n          case 5: return new Ctor(args[0], args[1], args[2], args[3], args[4]);\n          case 6: return new Ctor(args[0], args[1], args[2], args[3], args[4], args[5]);\n          case 7: return new Ctor(args[0], args[1], args[2], args[3], args[4], args[5], args[6]);\n        }\n        var thisBinding = baseCreate(Ctor.prototype),\n            result = Ctor.apply(thisBinding, args);\n\n        // Mimic the constructor's `return` behavior.\n        // See https://es5.github.io/#x13.2.2 for more details.\n        return isObject(result) ? result : thisBinding;\n      };\n    }\n\n    /**\n     * Creates a function that wraps `func` to enable currying.\n     *\n     * @private\n     * @param {Function} func The function to wrap.\n     * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n     * @param {number} arity The arity of `func`.\n     * @returns {Function} Returns the new wrapped function.\n     */\n    function createCurry(func, bitmask, arity) {\n      var Ctor = createCtor(func);\n\n      function wrapper() {\n        var length = arguments.length,\n            args = Array(length),\n            index = length,\n            placeholder = getHolder(wrapper);\n\n        while (index--) {\n          args[index] = arguments[index];\n        }\n        var holders = (length < 3 && args[0] !== placeholder && args[length - 1] !== placeholder)\n          ? []\n          : replaceHolders(args, placeholder);\n\n        length -= holders.length;\n        if (length < arity) {\n          return createRecurry(\n            func, bitmask, createHybrid, wrapper.placeholder, undefined,\n            args, holders, undefined, undefined, arity - length);\n        }\n        var fn = (this && this !== root && this instanceof wrapper) ? Ctor : func;\n        return apply(fn, this, args);\n      }\n      return wrapper;\n    }\n\n    /**\n     * Creates a `_.find` or `_.findLast` function.\n     *\n     * @private\n     * @param {Function} findIndexFunc The function to find the collection index.\n     * @returns {Function} Returns the new find function.\n     */\n    function createFind(findIndexFunc) {\n      return function(collection, predicate, fromIndex) {\n        var iterable = Object(collection);\n        if (!isArrayLike(collection)) {\n          var iteratee = getIteratee(predicate, 3);\n          collection = keys(collection);\n          predicate = function(key) { return iteratee(iterable[key], key, iterable); };\n        }\n        var index = findIndexFunc(collection, predicate, fromIndex);\n        return index > -1 ? iterable[iteratee ? collection[index] : index] : undefined;\n      };\n    }\n\n    /**\n     * Creates a `_.flow` or `_.flowRight` function.\n     *\n     * @private\n     * @param {boolean} [fromRight] Specify iterating from right to left.\n     * @returns {Function} Returns the new flow function.\n     */\n    function createFlow(fromRight) {\n      return flatRest(function(funcs) {\n        var length = funcs.length,\n            index = length,\n            prereq = LodashWrapper.prototype.thru;\n\n        if (fromRight) {\n          funcs.reverse();\n        }\n        while (index--) {\n          var func = funcs[index];\n          if (typeof func != 'function') {\n            throw new TypeError(FUNC_ERROR_TEXT);\n          }\n          if (prereq && !wrapper && getFuncName(func) == 'wrapper') {\n            var wrapper = new LodashWrapper([], true);\n          }\n        }\n        index = wrapper ? index : length;\n        while (++index < length) {\n          func = funcs[index];\n\n          var funcName = getFuncName(func),\n              data = funcName == 'wrapper' ? getData(func) : undefined;\n\n          if (data && isLaziable(data[0]) &&\n                data[1] == (WRAP_ARY_FLAG | WRAP_CURRY_FLAG | WRAP_PARTIAL_FLAG | WRAP_REARG_FLAG) &&\n                !data[4].length && data[9] == 1\n              ) {\n            wrapper = wrapper[getFuncName(data[0])].apply(wrapper, data[3]);\n          } else {\n            wrapper = (func.length == 1 && isLaziable(func))\n              ? wrapper[funcName]()\n              : wrapper.thru(func);\n          }\n        }\n        return function() {\n          var args = arguments,\n              value = args[0];\n\n          if (wrapper && args.length == 1 && isArray(value)) {\n            return wrapper.plant(value).value();\n          }\n          var index = 0,\n              result = length ? funcs[index].apply(this, args) : value;\n\n          while (++index < length) {\n            result = funcs[index].call(this, result);\n          }\n          return result;\n        };\n      });\n    }\n\n    /**\n     * Creates a function that wraps `func` to invoke it with optional `this`\n     * binding of `thisArg`, partial application, and currying.\n     *\n     * @private\n     * @param {Function|string} func The function or method name to wrap.\n     * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n     * @param {*} [thisArg] The `this` binding of `func`.\n     * @param {Array} [partials] The arguments to prepend to those provided to\n     *  the new function.\n     * @param {Array} [holders] The `partials` placeholder indexes.\n     * @param {Array} [partialsRight] The arguments to append to those provided\n     *  to the new function.\n     * @param {Array} [holdersRight] The `partialsRight` placeholder indexes.\n     * @param {Array} [argPos] The argument positions of the new function.\n     * @param {number} [ary] The arity cap of `func`.\n     * @param {number} [arity] The arity of `func`.\n     * @returns {Function} Returns the new wrapped function.\n     */\n    function createHybrid(func, bitmask, thisArg, partials, holders, partialsRight, holdersRight, argPos, ary, arity) {\n      var isAry = bitmask & WRAP_ARY_FLAG,\n          isBind = bitmask & WRAP_BIND_FLAG,\n          isBindKey = bitmask & WRAP_BIND_KEY_FLAG,\n          isCurried = bitmask & (WRAP_CURRY_FLAG | WRAP_CURRY_RIGHT_FLAG),\n          isFlip = bitmask & WRAP_FLIP_FLAG,\n          Ctor = isBindKey ? undefined : createCtor(func);\n\n      function wrapper() {\n        var length = arguments.length,\n            args = Array(length),\n            index = length;\n\n        while (index--) {\n          args[index] = arguments[index];\n        }\n        if (isCurried) {\n          var placeholder = getHolder(wrapper),\n              holdersCount = countHolders(args, placeholder);\n        }\n        if (partials) {\n          args = composeArgs(args, partials, holders, isCurried);\n        }\n        if (partialsRight) {\n          args = composeArgsRight(args, partialsRight, holdersRight, isCurried);\n        }\n        length -= holdersCount;\n        if (isCurried && length < arity) {\n          var newHolders = replaceHolders(args, placeholder);\n          return createRecurry(\n            func, bitmask, createHybrid, wrapper.placeholder, thisArg,\n            args, newHolders, argPos, ary, arity - length\n          );\n        }\n        var thisBinding = isBind ? thisArg : this,\n            fn = isBindKey ? thisBinding[func] : func;\n\n        length = args.length;\n        if (argPos) {\n          args = reorder(args, argPos);\n        } else if (isFlip && length > 1) {\n          args.reverse();\n        }\n        if (isAry && ary < length) {\n          args.length = ary;\n        }\n        if (this && this !== root && this instanceof wrapper) {\n          fn = Ctor || createCtor(fn);\n        }\n        return fn.apply(thisBinding, args);\n      }\n      return wrapper;\n    }\n\n    /**\n     * Creates a function like `_.invertBy`.\n     *\n     * @private\n     * @param {Function} setter The function to set accumulator values.\n     * @param {Function} toIteratee The function to resolve iteratees.\n     * @returns {Function} Returns the new inverter function.\n     */\n    function createInverter(setter, toIteratee) {\n      return function(object, iteratee) {\n        return baseInverter(object, setter, toIteratee(iteratee), {});\n      };\n    }\n\n    /**\n     * Creates a function that performs a mathematical operation on two values.\n     *\n     * @private\n     * @param {Function} operator The function to perform the operation.\n     * @param {number} [defaultValue] The value used for `undefined` arguments.\n     * @returns {Function} Returns the new mathematical operation function.\n     */\n    function createMathOperation(operator, defaultValue) {\n      return function(value, other) {\n        var result;\n        if (value === undefined && other === undefined) {\n          return defaultValue;\n        }\n        if (value !== undefined) {\n          result = value;\n        }\n        if (other !== undefined) {\n          if (result === undefined) {\n            return other;\n          }\n          if (typeof value == 'string' || typeof other == 'string') {\n            value = baseToString(value);\n            other = baseToString(other);\n          } else {\n            value = baseToNumber(value);\n            other = baseToNumber(other);\n          }\n          result = operator(value, other);\n        }\n        return result;\n      };\n    }\n\n    /**\n     * Creates a function like `_.over`.\n     *\n     * @private\n     * @param {Function} arrayFunc The function to iterate over iteratees.\n     * @returns {Function} Returns the new over function.\n     */\n    function createOver(arrayFunc) {\n      return flatRest(function(iteratees) {\n        iteratees = arrayMap(iteratees, baseUnary(getIteratee()));\n        return baseRest(function(args) {\n          var thisArg = this;\n          return arrayFunc(iteratees, function(iteratee) {\n            return apply(iteratee, thisArg, args);\n          });\n        });\n      });\n    }\n\n    /**\n     * Creates the padding for `string` based on `length`. The `chars` string\n     * is truncated if the number of characters exceeds `length`.\n     *\n     * @private\n     * @param {number} length The padding length.\n     * @param {string} [chars=' '] The string used as padding.\n     * @returns {string} Returns the padding for `string`.\n     */\n    function createPadding(length, chars) {\n      chars = chars === undefined ? ' ' : baseToString(chars);\n\n      var charsLength = chars.length;\n      if (charsLength < 2) {\n        return charsLength ? baseRepeat(chars, length) : chars;\n      }\n      var result = baseRepeat(chars, nativeCeil(length / stringSize(chars)));\n      return hasUnicode(chars)\n        ? castSlice(stringToArray(result), 0, length).join('')\n        : result.slice(0, length);\n    }\n\n    /**\n     * Creates a function that wraps `func` to invoke it with the `this` binding\n     * of `thisArg` and `partials` prepended to the arguments it receives.\n     *\n     * @private\n     * @param {Function} func The function to wrap.\n     * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n     * @param {*} thisArg The `this` binding of `func`.\n     * @param {Array} partials The arguments to prepend to those provided to\n     *  the new function.\n     * @returns {Function} Returns the new wrapped function.\n     */\n    function createPartial(func, bitmask, thisArg, partials) {\n      var isBind = bitmask & WRAP_BIND_FLAG,\n          Ctor = createCtor(func);\n\n      function wrapper() {\n        var argsIndex = -1,\n            argsLength = arguments.length,\n            leftIndex = -1,\n            leftLength = partials.length,\n            args = Array(leftLength + argsLength),\n            fn = (this && this !== root && this instanceof wrapper) ? Ctor : func;\n\n        while (++leftIndex < leftLength) {\n          args[leftIndex] = partials[leftIndex];\n        }\n        while (argsLength--) {\n          args[leftIndex++] = arguments[++argsIndex];\n        }\n        return apply(fn, isBind ? thisArg : this, args);\n      }\n      return wrapper;\n    }\n\n    /**\n     * Creates a `_.range` or `_.rangeRight` function.\n     *\n     * @private\n     * @param {boolean} [fromRight] Specify iterating from right to left.\n     * @returns {Function} Returns the new range function.\n     */\n    function createRange(fromRight) {\n      return function(start, end, step) {\n        if (step && typeof step != 'number' && isIterateeCall(start, end, step)) {\n          end = step = undefined;\n        }\n        // Ensure the sign of `-0` is preserved.\n        start = toFinite(start);\n        if (end === undefined) {\n          end = start;\n          start = 0;\n        } else {\n          end = toFinite(end);\n        }\n        step = step === undefined ? (start < end ? 1 : -1) : toFinite(step);\n        return baseRange(start, end, step, fromRight);\n      };\n    }\n\n    /**\n     * Creates a function that performs a relational operation on two values.\n     *\n     * @private\n     * @param {Function} operator The function to perform the operation.\n     * @returns {Function} Returns the new relational operation function.\n     */\n    function createRelationalOperation(operator) {\n      return function(value, other) {\n        if (!(typeof value == 'string' && typeof other == 'string')) {\n          value = toNumber(value);\n          other = toNumber(other);\n        }\n        return operator(value, other);\n      };\n    }\n\n    /**\n     * Creates a function that wraps `func` to continue currying.\n     *\n     * @private\n     * @param {Function} func The function to wrap.\n     * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n     * @param {Function} wrapFunc The function to create the `func` wrapper.\n     * @param {*} placeholder The placeholder value.\n     * @param {*} [thisArg] The `this` binding of `func`.\n     * @param {Array} [partials] The arguments to prepend to those provided to\n     *  the new function.\n     * @param {Array} [holders] The `partials` placeholder indexes.\n     * @param {Array} [argPos] The argument positions of the new function.\n     * @param {number} [ary] The arity cap of `func`.\n     * @param {number} [arity] The arity of `func`.\n     * @returns {Function} Returns the new wrapped function.\n     */\n    function createRecurry(func, bitmask, wrapFunc, placeholder, thisArg, partials, holders, argPos, ary, arity) {\n      var isCurry = bitmask & WRAP_CURRY_FLAG,\n          newHolders = isCurry ? holders : undefined,\n          newHoldersRight = isCurry ? undefined : holders,\n          newPartials = isCurry ? partials : undefined,\n          newPartialsRight = isCurry ? undefined : partials;\n\n      bitmask |= (isCurry ? WRAP_PARTIAL_FLAG : WRAP_PARTIAL_RIGHT_FLAG);\n      bitmask &= ~(isCurry ? WRAP_PARTIAL_RIGHT_FLAG : WRAP_PARTIAL_FLAG);\n\n      if (!(bitmask & WRAP_CURRY_BOUND_FLAG)) {\n        bitmask &= ~(WRAP_BIND_FLAG | WRAP_BIND_KEY_FLAG);\n      }\n      var newData = [\n        func, bitmask, thisArg, newPartials, newHolders, newPartialsRight,\n        newHoldersRight, argPos, ary, arity\n      ];\n\n      var result = wrapFunc.apply(undefined, newData);\n      if (isLaziable(func)) {\n        setData(result, newData);\n      }\n      result.placeholder = placeholder;\n      return setWrapToString(result, func, bitmask);\n    }\n\n    /**\n     * Creates a function like `_.round`.\n     *\n     * @private\n     * @param {string} methodName The name of the `Math` method to use when rounding.\n     * @returns {Function} Returns the new round function.\n     */\n    function createRound(methodName) {\n      var func = Math[methodName];\n      return function(number, precision) {\n        number = toNumber(number);\n        precision = precision == null ? 0 : nativeMin(toInteger(precision), 292);\n        if (precision && nativeIsFinite(number)) {\n          // Shift with exponential notation to avoid floating-point issues.\n          // See [MDN](https://mdn.io/round#Examples) for more details.\n          var pair = (toString(number) + 'e').split('e'),\n              value = func(pair[0] + 'e' + (+pair[1] + precision));\n\n          pair = (toString(value) + 'e').split('e');\n          return +(pair[0] + 'e' + (+pair[1] - precision));\n        }\n        return func(number);\n      };\n    }\n\n    /**\n     * Creates a set object of `values`.\n     *\n     * @private\n     * @param {Array} values The values to add to the set.\n     * @returns {Object} Returns the new set.\n     */\n    var createSet = !(Set && (1 / setToArray(new Set([,-0]))[1]) == INFINITY) ? noop : function(values) {\n      return new Set(values);\n    };\n\n    /**\n     * Creates a `_.toPairs` or `_.toPairsIn` function.\n     *\n     * @private\n     * @param {Function} keysFunc The function to get the keys of a given object.\n     * @returns {Function} Returns the new pairs function.\n     */\n    function createToPairs(keysFunc) {\n      return function(object) {\n        var tag = getTag(object);\n        if (tag == mapTag) {\n          return mapToArray(object);\n        }\n        if (tag == setTag) {\n          return setToPairs(object);\n        }\n        return baseToPairs(object, keysFunc(object));\n      };\n    }\n\n    /**\n     * Creates a function that either curries or invokes `func` with optional\n     * `this` binding and partially applied arguments.\n     *\n     * @private\n     * @param {Function|string} func The function or method name to wrap.\n     * @param {number} bitmask The bitmask flags.\n     *    1 - `_.bind`\n     *    2 - `_.bindKey`\n     *    4 - `_.curry` or `_.curryRight` of a bound function\n     *    8 - `_.curry`\n     *   16 - `_.curryRight`\n     *   32 - `_.partial`\n     *   64 - `_.partialRight`\n     *  128 - `_.rearg`\n     *  256 - `_.ary`\n     *  512 - `_.flip`\n     * @param {*} [thisArg] The `this` binding of `func`.\n     * @param {Array} [partials] The arguments to be partially applied.\n     * @param {Array} [holders] The `partials` placeholder indexes.\n     * @param {Array} [argPos] The argument positions of the new function.\n     * @param {number} [ary] The arity cap of `func`.\n     * @param {number} [arity] The arity of `func`.\n     * @returns {Function} Returns the new wrapped function.\n     */\n    function createWrap(func, bitmask, thisArg, partials, holders, argPos, ary, arity) {\n      var isBindKey = bitmask & WRAP_BIND_KEY_FLAG;\n      if (!isBindKey && typeof func != 'function') {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n      var length = partials ? partials.length : 0;\n      if (!length) {\n        bitmask &= ~(WRAP_PARTIAL_FLAG | WRAP_PARTIAL_RIGHT_FLAG);\n        partials = holders = undefined;\n      }\n      ary = ary === undefined ? ary : nativeMax(toInteger(ary), 0);\n      arity = arity === undefined ? arity : toInteger(arity);\n      length -= holders ? holders.length : 0;\n\n      if (bitmask & WRAP_PARTIAL_RIGHT_FLAG) {\n        var partialsRight = partials,\n            holdersRight = holders;\n\n        partials = holders = undefined;\n      }\n      var data = isBindKey ? undefined : getData(func);\n\n      var newData = [\n        func, bitmask, thisArg, partials, holders, partialsRight, holdersRight,\n        argPos, ary, arity\n      ];\n\n      if (data) {\n        mergeData(newData, data);\n      }\n      func = newData[0];\n      bitmask = newData[1];\n      thisArg = newData[2];\n      partials = newData[3];\n      holders = newData[4];\n      arity = newData[9] = newData[9] === undefined\n        ? (isBindKey ? 0 : func.length)\n        : nativeMax(newData[9] - length, 0);\n\n      if (!arity && bitmask & (WRAP_CURRY_FLAG | WRAP_CURRY_RIGHT_FLAG)) {\n        bitmask &= ~(WRAP_CURRY_FLAG | WRAP_CURRY_RIGHT_FLAG);\n      }\n      if (!bitmask || bitmask == WRAP_BIND_FLAG) {\n        var result = createBind(func, bitmask, thisArg);\n      } else if (bitmask == WRAP_CURRY_FLAG || bitmask == WRAP_CURRY_RIGHT_FLAG) {\n        result = createCurry(func, bitmask, arity);\n      } else if ((bitmask == WRAP_PARTIAL_FLAG || bitmask == (WRAP_BIND_FLAG | WRAP_PARTIAL_FLAG)) && !holders.length) {\n        result = createPartial(func, bitmask, thisArg, partials);\n      } else {\n        result = createHybrid.apply(undefined, newData);\n      }\n      var setter = data ? baseSetData : setData;\n      return setWrapToString(setter(result, newData), func, bitmask);\n    }\n\n    /**\n     * Used by `_.defaults` to customize its `_.assignIn` use to assign properties\n     * of source objects to the destination object for all destination properties\n     * that resolve to `undefined`.\n     *\n     * @private\n     * @param {*} objValue The destination value.\n     * @param {*} srcValue The source value.\n     * @param {string} key The key of the property to assign.\n     * @param {Object} object The parent object of `objValue`.\n     * @returns {*} Returns the value to assign.\n     */\n    function customDefaultsAssignIn(objValue, srcValue, key, object) {\n      if (objValue === undefined ||\n          (eq(objValue, objectProto[key]) && !hasOwnProperty.call(object, key))) {\n        return srcValue;\n      }\n      return objValue;\n    }\n\n    /**\n     * Used by `_.defaultsDeep` to customize its `_.merge` use to merge source\n     * objects into destination objects that are passed thru.\n     *\n     * @private\n     * @param {*} objValue The destination value.\n     * @param {*} srcValue The source value.\n     * @param {string} key The key of the property to merge.\n     * @param {Object} object The parent object of `objValue`.\n     * @param {Object} source The parent object of `srcValue`.\n     * @param {Object} [stack] Tracks traversed source values and their merged\n     *  counterparts.\n     * @returns {*} Returns the value to assign.\n     */\n    function customDefaultsMerge(objValue, srcValue, key, object, source, stack) {\n      if (isObject(objValue) && isObject(srcValue)) {\n        // Recursively merge objects and arrays (susceptible to call stack limits).\n        stack.set(srcValue, objValue);\n        baseMerge(objValue, srcValue, undefined, customDefaultsMerge, stack);\n        stack['delete'](srcValue);\n      }\n      return objValue;\n    }\n\n    /**\n     * Used by `_.omit` to customize its `_.cloneDeep` use to only clone plain\n     * objects.\n     *\n     * @private\n     * @param {*} value The value to inspect.\n     * @param {string} key The key of the property to inspect.\n     * @returns {*} Returns the uncloned value or `undefined` to defer cloning to `_.cloneDeep`.\n     */\n    function customOmitClone(value) {\n      return isPlainObject(value) ? undefined : value;\n    }\n\n    /**\n     * A specialized version of `baseIsEqualDeep` for arrays with support for\n     * partial deep comparisons.\n     *\n     * @private\n     * @param {Array} array The array to compare.\n     * @param {Array} other The other array to compare.\n     * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details.\n     * @param {Function} customizer The function to customize comparisons.\n     * @param {Function} equalFunc The function to determine equivalents of values.\n     * @param {Object} stack Tracks traversed `array` and `other` objects.\n     * @returns {boolean} Returns `true` if the arrays are equivalent, else `false`.\n     */\n    function equalArrays(array, other, bitmask, customizer, equalFunc, stack) {\n      var isPartial = bitmask & COMPARE_PARTIAL_FLAG,\n          arrLength = array.length,\n          othLength = other.length;\n\n      if (arrLength != othLength && !(isPartial && othLength > arrLength)) {\n        return false;\n      }\n      // Check that cyclic values are equal.\n      var arrStacked = stack.get(array);\n      var othStacked = stack.get(other);\n      if (arrStacked && othStacked) {\n        return arrStacked == other && othStacked == array;\n      }\n      var index = -1,\n          result = true,\n          seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new SetCache : undefined;\n\n      stack.set(array, other);\n      stack.set(other, array);\n\n      // Ignore non-index properties.\n      while (++index < arrLength) {\n        var arrValue = array[index],\n            othValue = other[index];\n\n        if (customizer) {\n          var compared = isPartial\n            ? customizer(othValue, arrValue, index, other, array, stack)\n            : customizer(arrValue, othValue, index, array, other, stack);\n        }\n        if (compared !== undefined) {\n          if (compared) {\n            continue;\n          }\n          result = false;\n          break;\n        }\n        // Recursively compare arrays (susceptible to call stack limits).\n        if (seen) {\n          if (!arraySome(other, function(othValue, othIndex) {\n                if (!cacheHas(seen, othIndex) &&\n                    (arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack))) {\n                  return seen.push(othIndex);\n                }\n              })) {\n            result = false;\n            break;\n          }\n        } else if (!(\n              arrValue === othValue ||\n                equalFunc(arrValue, othValue, bitmask, customizer, stack)\n            )) {\n          result = false;\n          break;\n        }\n      }\n      stack['delete'](array);\n      stack['delete'](other);\n      return result;\n    }\n\n    /**\n     * A specialized version of `baseIsEqualDeep` for comparing objects of\n     * the same `toStringTag`.\n     *\n     * **Note:** This function only supports comparing values with tags of\n     * `Boolean`, `Date`, `Error`, `Number`, `RegExp`, or `String`.\n     *\n     * @private\n     * @param {Object} object The object to compare.\n     * @param {Object} other The other object to compare.\n     * @param {string} tag The `toStringTag` of the objects to compare.\n     * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details.\n     * @param {Function} customizer The function to customize comparisons.\n     * @param {Function} equalFunc The function to determine equivalents of values.\n     * @param {Object} stack Tracks traversed `object` and `other` objects.\n     * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n     */\n    function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) {\n      switch (tag) {\n        case dataViewTag:\n          if ((object.byteLength != other.byteLength) ||\n              (object.byteOffset != other.byteOffset)) {\n            return false;\n          }\n          object = object.buffer;\n          other = other.buffer;\n\n        case arrayBufferTag:\n          if ((object.byteLength != other.byteLength) ||\n              !equalFunc(new Uint8Array(object), new Uint8Array(other))) {\n            return false;\n          }\n          return true;\n\n        case boolTag:\n        case dateTag:\n        case numberTag:\n          // Coerce booleans to `1` or `0` and dates to milliseconds.\n          // Invalid dates are coerced to `NaN`.\n          return eq(+object, +other);\n\n        case errorTag:\n          return object.name == other.name && object.message == other.message;\n\n        case regexpTag:\n        case stringTag:\n          // Coerce regexes to strings and treat strings, primitives and objects,\n          // as equal. See http://www.ecma-international.org/ecma-262/7.0/#sec-regexp.prototype.tostring\n          // for more details.\n          return object == (other + '');\n\n        case mapTag:\n          var convert = mapToArray;\n\n        case setTag:\n          var isPartial = bitmask & COMPARE_PARTIAL_FLAG;\n          convert || (convert = setToArray);\n\n          if (object.size != other.size && !isPartial) {\n            return false;\n          }\n          // Assume cyclic values are equal.\n          var stacked = stack.get(object);\n          if (stacked) {\n            return stacked == other;\n          }\n          bitmask |= COMPARE_UNORDERED_FLAG;\n\n          // Recursively compare objects (susceptible to call stack limits).\n          stack.set(object, other);\n          var result = equalArrays(convert(object), convert(other), bitmask, customizer, equalFunc, stack);\n          stack['delete'](object);\n          return result;\n\n        case symbolTag:\n          if (symbolValueOf) {\n            return symbolValueOf.call(object) == symbolValueOf.call(other);\n          }\n      }\n      return false;\n    }\n\n    /**\n     * A specialized version of `baseIsEqualDeep` for objects with support for\n     * partial deep comparisons.\n     *\n     * @private\n     * @param {Object} object The object to compare.\n     * @param {Object} other The other object to compare.\n     * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details.\n     * @param {Function} customizer The function to customize comparisons.\n     * @param {Function} equalFunc The function to determine equivalents of values.\n     * @param {Object} stack Tracks traversed `object` and `other` objects.\n     * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n     */\n    function equalObjects(object, other, bitmask, customizer, equalFunc, stack) {\n      var isPartial = bitmask & COMPARE_PARTIAL_FLAG,\n          objProps = getAllKeys(object),\n          objLength = objProps.length,\n          othProps = getAllKeys(other),\n          othLength = othProps.length;\n\n      if (objLength != othLength && !isPartial) {\n        return false;\n      }\n      var index = objLength;\n      while (index--) {\n        var key = objProps[index];\n        if (!(isPartial ? key in other : hasOwnProperty.call(other, key))) {\n          return false;\n        }\n      }\n      // Check that cyclic values are equal.\n      var objStacked = stack.get(object);\n      var othStacked = stack.get(other);\n      if (objStacked && othStacked) {\n        return objStacked == other && othStacked == object;\n      }\n      var result = true;\n      stack.set(object, other);\n      stack.set(other, object);\n\n      var skipCtor = isPartial;\n      while (++index < objLength) {\n        key = objProps[index];\n        var objValue = object[key],\n            othValue = other[key];\n\n        if (customizer) {\n          var compared = isPartial\n            ? customizer(othValue, objValue, key, other, object, stack)\n            : customizer(objValue, othValue, key, object, other, stack);\n        }\n        // Recursively compare objects (susceptible to call stack limits).\n        if (!(compared === undefined\n              ? (objValue === othValue || equalFunc(objValue, othValue, bitmask, customizer, stack))\n              : compared\n            )) {\n          result = false;\n          break;\n        }\n        skipCtor || (skipCtor = key == 'constructor');\n      }\n      if (result && !skipCtor) {\n        var objCtor = object.constructor,\n            othCtor = other.constructor;\n\n        // Non `Object` object instances with different constructors are not equal.\n        if (objCtor != othCtor &&\n            ('constructor' in object && 'constructor' in other) &&\n            !(typeof objCtor == 'function' && objCtor instanceof objCtor &&\n              typeof othCtor == 'function' && othCtor instanceof othCtor)) {\n          result = false;\n        }\n      }\n      stack['delete'](object);\n      stack['delete'](other);\n      return result;\n    }\n\n    /**\n     * A specialized version of `baseRest` which flattens the rest array.\n     *\n     * @private\n     * @param {Function} func The function to apply a rest parameter to.\n     * @returns {Function} Returns the new function.\n     */\n    function flatRest(func) {\n      return setToString(overRest(func, undefined, flatten), func + '');\n    }\n\n    /**\n     * Creates an array of own enumerable property names and symbols of `object`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of property names and symbols.\n     */\n    function getAllKeys(object) {\n      return baseGetAllKeys(object, keys, getSymbols);\n    }\n\n    /**\n     * Creates an array of own and inherited enumerable property names and\n     * symbols of `object`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of property names and symbols.\n     */\n    function getAllKeysIn(object) {\n      return baseGetAllKeys(object, keysIn, getSymbolsIn);\n    }\n\n    /**\n     * Gets metadata for `func`.\n     *\n     * @private\n     * @param {Function} func The function to query.\n     * @returns {*} Returns the metadata for `func`.\n     */\n    var getData = !metaMap ? noop : function(func) {\n      return metaMap.get(func);\n    };\n\n    /**\n     * Gets the name of `func`.\n     *\n     * @private\n     * @param {Function} func The function to query.\n     * @returns {string} Returns the function name.\n     */\n    function getFuncName(func) {\n      var result = (func.name + ''),\n          array = realNames[result],\n          length = hasOwnProperty.call(realNames, result) ? array.length : 0;\n\n      while (length--) {\n        var data = array[length],\n            otherFunc = data.func;\n        if (otherFunc == null || otherFunc == func) {\n          return data.name;\n        }\n      }\n      return result;\n    }\n\n    /**\n     * Gets the argument placeholder value for `func`.\n     *\n     * @private\n     * @param {Function} func The function to inspect.\n     * @returns {*} Returns the placeholder value.\n     */\n    function getHolder(func) {\n      var object = hasOwnProperty.call(lodash, 'placeholder') ? lodash : func;\n      return object.placeholder;\n    }\n\n    /**\n     * Gets the appropriate \"iteratee\" function. If `_.iteratee` is customized,\n     * this function returns the custom method, otherwise it returns `baseIteratee`.\n     * If arguments are provided, the chosen function is invoked with them and\n     * its result is returned.\n     *\n     * @private\n     * @param {*} [value] The value to convert to an iteratee.\n     * @param {number} [arity] The arity of the created iteratee.\n     * @returns {Function} Returns the chosen function or its result.\n     */\n    function getIteratee() {\n      var result = lodash.iteratee || iteratee;\n      result = result === iteratee ? baseIteratee : result;\n      return arguments.length ? result(arguments[0], arguments[1]) : result;\n    }\n\n    /**\n     * Gets the data for `map`.\n     *\n     * @private\n     * @param {Object} map The map to query.\n     * @param {string} key The reference key.\n     * @returns {*} Returns the map data.\n     */\n    function getMapData(map, key) {\n      var data = map.__data__;\n      return isKeyable(key)\n        ? data[typeof key == 'string' ? 'string' : 'hash']\n        : data.map;\n    }\n\n    /**\n     * Gets the property names, values, and compare flags of `object`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the match data of `object`.\n     */\n    function getMatchData(object) {\n      var result = keys(object),\n          length = result.length;\n\n      while (length--) {\n        var key = result[length],\n            value = object[key];\n\n        result[length] = [key, value, isStrictComparable(value)];\n      }\n      return result;\n    }\n\n    /**\n     * Gets the native function at `key` of `object`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @param {string} key The key of the method to get.\n     * @returns {*} Returns the function if it's native, else `undefined`.\n     */\n    function getNative(object, key) {\n      var value = getValue(object, key);\n      return baseIsNative(value) ? value : undefined;\n    }\n\n    /**\n     * A specialized version of `baseGetTag` which ignores `Symbol.toStringTag` values.\n     *\n     * @private\n     * @param {*} value The value to query.\n     * @returns {string} Returns the raw `toStringTag`.\n     */\n    function getRawTag(value) {\n      var isOwn = hasOwnProperty.call(value, symToStringTag),\n          tag = value[symToStringTag];\n\n      try {\n        value[symToStringTag] = undefined;\n        var unmasked = true;\n      } catch (e) {}\n\n      var result = nativeObjectToString.call(value);\n      if (unmasked) {\n        if (isOwn) {\n          value[symToStringTag] = tag;\n        } else {\n          delete value[symToStringTag];\n        }\n      }\n      return result;\n    }\n\n    /**\n     * Creates an array of the own enumerable symbols of `object`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of symbols.\n     */\n    var getSymbols = !nativeGetSymbols ? stubArray : function(object) {\n      if (object == null) {\n        return [];\n      }\n      object = Object(object);\n      return arrayFilter(nativeGetSymbols(object), function(symbol) {\n        return propertyIsEnumerable.call(object, symbol);\n      });\n    };\n\n    /**\n     * Creates an array of the own and inherited enumerable symbols of `object`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of symbols.\n     */\n    var getSymbolsIn = !nativeGetSymbols ? stubArray : function(object) {\n      var result = [];\n      while (object) {\n        arrayPush(result, getSymbols(object));\n        object = getPrototype(object);\n      }\n      return result;\n    };\n\n    /**\n     * Gets the `toStringTag` of `value`.\n     *\n     * @private\n     * @param {*} value The value to query.\n     * @returns {string} Returns the `toStringTag`.\n     */\n    var getTag = baseGetTag;\n\n    // Fallback for data views, maps, sets, and weak maps in IE 11 and promises in Node.js < 6.\n    if ((DataView && getTag(new DataView(new ArrayBuffer(1))) != dataViewTag) ||\n        (Map && getTag(new Map) != mapTag) ||\n        (Promise && getTag(Promise.resolve()) != promiseTag) ||\n        (Set && getTag(new Set) != setTag) ||\n        (WeakMap && getTag(new WeakMap) != weakMapTag)) {\n      getTag = function(value) {\n        var result = baseGetTag(value),\n            Ctor = result == objectTag ? value.constructor : undefined,\n            ctorString = Ctor ? toSource(Ctor) : '';\n\n        if (ctorString) {\n          switch (ctorString) {\n            case dataViewCtorString: return dataViewTag;\n            case mapCtorString: return mapTag;\n            case promiseCtorString: return promiseTag;\n            case setCtorString: return setTag;\n            case weakMapCtorString: return weakMapTag;\n          }\n        }\n        return result;\n      };\n    }\n\n    /**\n     * Gets the view, applying any `transforms` to the `start` and `end` positions.\n     *\n     * @private\n     * @param {number} start The start of the view.\n     * @param {number} end The end of the view.\n     * @param {Array} transforms The transformations to apply to the view.\n     * @returns {Object} Returns an object containing the `start` and `end`\n     *  positions of the view.\n     */\n    function getView(start, end, transforms) {\n      var index = -1,\n          length = transforms.length;\n\n      while (++index < length) {\n        var data = transforms[index],\n            size = data.size;\n\n        switch (data.type) {\n          case 'drop':      start += size; break;\n          case 'dropRight': end -= size; break;\n          case 'take':      end = nativeMin(end, start + size); break;\n          case 'takeRight': start = nativeMax(start, end - size); break;\n        }\n      }\n      return { 'start': start, 'end': end };\n    }\n\n    /**\n     * Extracts wrapper details from the `source` body comment.\n     *\n     * @private\n     * @param {string} source The source to inspect.\n     * @returns {Array} Returns the wrapper details.\n     */\n    function getWrapDetails(source) {\n      var match = source.match(reWrapDetails);\n      return match ? match[1].split(reSplitDetails) : [];\n    }\n\n    /**\n     * Checks if `path` exists on `object`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @param {Array|string} path The path to check.\n     * @param {Function} hasFunc The function to check properties.\n     * @returns {boolean} Returns `true` if `path` exists, else `false`.\n     */\n    function hasPath(object, path, hasFunc) {\n      path = castPath(path, object);\n\n      var index = -1,\n          length = path.length,\n          result = false;\n\n      while (++index < length) {\n        var key = toKey(path[index]);\n        if (!(result = object != null && hasFunc(object, key))) {\n          break;\n        }\n        object = object[key];\n      }\n      if (result || ++index != length) {\n        return result;\n      }\n      length = object == null ? 0 : object.length;\n      return !!length && isLength(length) && isIndex(key, length) &&\n        (isArray(object) || isArguments(object));\n    }\n\n    /**\n     * Initializes an array clone.\n     *\n     * @private\n     * @param {Array} array The array to clone.\n     * @returns {Array} Returns the initialized clone.\n     */\n    function initCloneArray(array) {\n      var length = array.length,\n          result = new array.constructor(length);\n\n      // Add properties assigned by `RegExp#exec`.\n      if (length && typeof array[0] == 'string' && hasOwnProperty.call(array, 'index')) {\n        result.index = array.index;\n        result.input = array.input;\n      }\n      return result;\n    }\n\n    /**\n     * Initializes an object clone.\n     *\n     * @private\n     * @param {Object} object The object to clone.\n     * @returns {Object} Returns the initialized clone.\n     */\n    function initCloneObject(object) {\n      return (typeof object.constructor == 'function' && !isPrototype(object))\n        ? baseCreate(getPrototype(object))\n        : {};\n    }\n\n    /**\n     * Initializes an object clone based on its `toStringTag`.\n     *\n     * **Note:** This function only supports cloning values with tags of\n     * `Boolean`, `Date`, `Error`, `Map`, `Number`, `RegExp`, `Set`, or `String`.\n     *\n     * @private\n     * @param {Object} object The object to clone.\n     * @param {string} tag The `toStringTag` of the object to clone.\n     * @param {boolean} [isDeep] Specify a deep clone.\n     * @returns {Object} Returns the initialized clone.\n     */\n    function initCloneByTag(object, tag, isDeep) {\n      var Ctor = object.constructor;\n      switch (tag) {\n        case arrayBufferTag:\n          return cloneArrayBuffer(object);\n\n        case boolTag:\n        case dateTag:\n          return new Ctor(+object);\n\n        case dataViewTag:\n          return cloneDataView(object, isDeep);\n\n        case float32Tag: case float64Tag:\n        case int8Tag: case int16Tag: case int32Tag:\n        case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag:\n          return cloneTypedArray(object, isDeep);\n\n        case mapTag:\n          return new Ctor;\n\n        case numberTag:\n        case stringTag:\n          return new Ctor(object);\n\n        case regexpTag:\n          return cloneRegExp(object);\n\n        case setTag:\n          return new Ctor;\n\n        case symbolTag:\n          return cloneSymbol(object);\n      }\n    }\n\n    /**\n     * Inserts wrapper `details` in a comment at the top of the `source` body.\n     *\n     * @private\n     * @param {string} source The source to modify.\n     * @returns {Array} details The details to insert.\n     * @returns {string} Returns the modified source.\n     */\n    function insertWrapDetails(source, details) {\n      var length = details.length;\n      if (!length) {\n        return source;\n      }\n      var lastIndex = length - 1;\n      details[lastIndex] = (length > 1 ? '& ' : '') + details[lastIndex];\n      details = details.join(length > 2 ? ', ' : ' ');\n      return source.replace(reWrapComment, '{\\n/* [wrapped with ' + details + '] */\\n');\n    }\n\n    /**\n     * Checks if `value` is a flattenable `arguments` object or array.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is flattenable, else `false`.\n     */\n    function isFlattenable(value) {\n      return isArray(value) || isArguments(value) ||\n        !!(spreadableSymbol && value && value[spreadableSymbol]);\n    }\n\n    /**\n     * Checks if `value` is a valid array-like index.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index.\n     * @returns {boolean} Returns `true` if `value` is a valid index, else `false`.\n     */\n    function isIndex(value, length) {\n      var type = typeof value;\n      length = length == null ? MAX_SAFE_INTEGER : length;\n\n      return !!length &&\n        (type == 'number' ||\n          (type != 'symbol' && reIsUint.test(value))) &&\n            (value > -1 && value % 1 == 0 && value < length);\n    }\n\n    /**\n     * Checks if the given arguments are from an iteratee call.\n     *\n     * @private\n     * @param {*} value The potential iteratee value argument.\n     * @param {*} index The potential iteratee index or key argument.\n     * @param {*} object The potential iteratee object argument.\n     * @returns {boolean} Returns `true` if the arguments are from an iteratee call,\n     *  else `false`.\n     */\n    function isIterateeCall(value, index, object) {\n      if (!isObject(object)) {\n        return false;\n      }\n      var type = typeof index;\n      if (type == 'number'\n            ? (isArrayLike(object) && isIndex(index, object.length))\n            : (type == 'string' && index in object)\n          ) {\n        return eq(object[index], value);\n      }\n      return false;\n    }\n\n    /**\n     * Checks if `value` is a property name and not a property path.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @param {Object} [object] The object to query keys on.\n     * @returns {boolean} Returns `true` if `value` is a property name, else `false`.\n     */\n    function isKey(value, object) {\n      if (isArray(value)) {\n        return false;\n      }\n      var type = typeof value;\n      if (type == 'number' || type == 'symbol' || type == 'boolean' ||\n          value == null || isSymbol(value)) {\n        return true;\n      }\n      return reIsPlainProp.test(value) || !reIsDeepProp.test(value) ||\n        (object != null && value in Object(object));\n    }\n\n    /**\n     * Checks if `value` is suitable for use as unique object key.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is suitable, else `false`.\n     */\n    function isKeyable(value) {\n      var type = typeof value;\n      return (type == 'string' || type == 'number' || type == 'symbol' || type == 'boolean')\n        ? (value !== '__proto__')\n        : (value === null);\n    }\n\n    /**\n     * Checks if `func` has a lazy counterpart.\n     *\n     * @private\n     * @param {Function} func The function to check.\n     * @returns {boolean} Returns `true` if `func` has a lazy counterpart,\n     *  else `false`.\n     */\n    function isLaziable(func) {\n      var funcName = getFuncName(func),\n          other = lodash[funcName];\n\n      if (typeof other != 'function' || !(funcName in LazyWrapper.prototype)) {\n        return false;\n      }\n      if (func === other) {\n        return true;\n      }\n      var data = getData(other);\n      return !!data && func === data[0];\n    }\n\n    /**\n     * Checks if `func` has its source masked.\n     *\n     * @private\n     * @param {Function} func The function to check.\n     * @returns {boolean} Returns `true` if `func` is masked, else `false`.\n     */\n    function isMasked(func) {\n      return !!maskSrcKey && (maskSrcKey in func);\n    }\n\n    /**\n     * Checks if `func` is capable of being masked.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `func` is maskable, else `false`.\n     */\n    var isMaskable = coreJsData ? isFunction : stubFalse;\n\n    /**\n     * Checks if `value` is likely a prototype object.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a prototype, else `false`.\n     */\n    function isPrototype(value) {\n      var Ctor = value && value.constructor,\n          proto = (typeof Ctor == 'function' && Ctor.prototype) || objectProto;\n\n      return value === proto;\n    }\n\n    /**\n     * Checks if `value` is suitable for strict equality comparisons, i.e. `===`.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` if suitable for strict\n     *  equality comparisons, else `false`.\n     */\n    function isStrictComparable(value) {\n      return value === value && !isObject(value);\n    }\n\n    /**\n     * A specialized version of `matchesProperty` for source values suitable\n     * for strict equality comparisons, i.e. `===`.\n     *\n     * @private\n     * @param {string} key The key of the property to get.\n     * @param {*} srcValue The value to match.\n     * @returns {Function} Returns the new spec function.\n     */\n    function matchesStrictComparable(key, srcValue) {\n      return function(object) {\n        if (object == null) {\n          return false;\n        }\n        return object[key] === srcValue &&\n          (srcValue !== undefined || (key in Object(object)));\n      };\n    }\n\n    /**\n     * A specialized version of `_.memoize` which clears the memoized function's\n     * cache when it exceeds `MAX_MEMOIZE_SIZE`.\n     *\n     * @private\n     * @param {Function} func The function to have its output memoized.\n     * @returns {Function} Returns the new memoized function.\n     */\n    function memoizeCapped(func) {\n      var result = memoize(func, function(key) {\n        if (cache.size === MAX_MEMOIZE_SIZE) {\n          cache.clear();\n        }\n        return key;\n      });\n\n      var cache = result.cache;\n      return result;\n    }\n\n    /**\n     * Merges the function metadata of `source` into `data`.\n     *\n     * Merging metadata reduces the number of wrappers used to invoke a function.\n     * This is possible because methods like `_.bind`, `_.curry`, and `_.partial`\n     * may be applied regardless of execution order. Methods like `_.ary` and\n     * `_.rearg` modify function arguments, making the order in which they are\n     * executed important, preventing the merging of metadata. However, we make\n     * an exception for a safe combined case where curried functions have `_.ary`\n     * and or `_.rearg` applied.\n     *\n     * @private\n     * @param {Array} data The destination metadata.\n     * @param {Array} source The source metadata.\n     * @returns {Array} Returns `data`.\n     */\n    function mergeData(data, source) {\n      var bitmask = data[1],\n          srcBitmask = source[1],\n          newBitmask = bitmask | srcBitmask,\n          isCommon = newBitmask < (WRAP_BIND_FLAG | WRAP_BIND_KEY_FLAG | WRAP_ARY_FLAG);\n\n      var isCombo =\n        ((srcBitmask == WRAP_ARY_FLAG) && (bitmask == WRAP_CURRY_FLAG)) ||\n        ((srcBitmask == WRAP_ARY_FLAG) && (bitmask == WRAP_REARG_FLAG) && (data[7].length <= source[8])) ||\n        ((srcBitmask == (WRAP_ARY_FLAG | WRAP_REARG_FLAG)) && (source[7].length <= source[8]) && (bitmask == WRAP_CURRY_FLAG));\n\n      // Exit early if metadata can't be merged.\n      if (!(isCommon || isCombo)) {\n        return data;\n      }\n      // Use source `thisArg` if available.\n      if (srcBitmask & WRAP_BIND_FLAG) {\n        data[2] = source[2];\n        // Set when currying a bound function.\n        newBitmask |= bitmask & WRAP_BIND_FLAG ? 0 : WRAP_CURRY_BOUND_FLAG;\n      }\n      // Compose partial arguments.\n      var value = source[3];\n      if (value) {\n        var partials = data[3];\n        data[3] = partials ? composeArgs(partials, value, source[4]) : value;\n        data[4] = partials ? replaceHolders(data[3], PLACEHOLDER) : source[4];\n      }\n      // Compose partial right arguments.\n      value = source[5];\n      if (value) {\n        partials = data[5];\n        data[5] = partials ? composeArgsRight(partials, value, source[6]) : value;\n        data[6] = partials ? replaceHolders(data[5], PLACEHOLDER) : source[6];\n      }\n      // Use source `argPos` if available.\n      value = source[7];\n      if (value) {\n        data[7] = value;\n      }\n      // Use source `ary` if it's smaller.\n      if (srcBitmask & WRAP_ARY_FLAG) {\n        data[8] = data[8] == null ? source[8] : nativeMin(data[8], source[8]);\n      }\n      // Use source `arity` if one is not provided.\n      if (data[9] == null) {\n        data[9] = source[9];\n      }\n      // Use source `func` and merge bitmasks.\n      data[0] = source[0];\n      data[1] = newBitmask;\n\n      return data;\n    }\n\n    /**\n     * This function is like\n     * [`Object.keys`](http://ecma-international.org/ecma-262/7.0/#sec-object.keys)\n     * except that it includes inherited enumerable properties.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of property names.\n     */\n    function nativeKeysIn(object) {\n      var result = [];\n      if (object != null) {\n        for (var key in Object(object)) {\n          result.push(key);\n        }\n      }\n      return result;\n    }\n\n    /**\n     * Converts `value` to a string using `Object.prototype.toString`.\n     *\n     * @private\n     * @param {*} value The value to convert.\n     * @returns {string} Returns the converted string.\n     */\n    function objectToString(value) {\n      return nativeObjectToString.call(value);\n    }\n\n    /**\n     * A specialized version of `baseRest` which transforms the rest array.\n     *\n     * @private\n     * @param {Function} func The function to apply a rest parameter to.\n     * @param {number} [start=func.length-1] The start position of the rest parameter.\n     * @param {Function} transform The rest array transform.\n     * @returns {Function} Returns the new function.\n     */\n    function overRest(func, start, transform) {\n      start = nativeMax(start === undefined ? (func.length - 1) : start, 0);\n      return function() {\n        var args = arguments,\n            index = -1,\n            length = nativeMax(args.length - start, 0),\n            array = Array(length);\n\n        while (++index < length) {\n          array[index] = args[start + index];\n        }\n        index = -1;\n        var otherArgs = Array(start + 1);\n        while (++index < start) {\n          otherArgs[index] = args[index];\n        }\n        otherArgs[start] = transform(array);\n        return apply(func, this, otherArgs);\n      };\n    }\n\n    /**\n     * Gets the parent value at `path` of `object`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @param {Array} path The path to get the parent value of.\n     * @returns {*} Returns the parent value.\n     */\n    function parent(object, path) {\n      return path.length < 2 ? object : baseGet(object, baseSlice(path, 0, -1));\n    }\n\n    /**\n     * Reorder `array` according to the specified indexes where the element at\n     * the first index is assigned as the first element, the element at\n     * the second index is assigned as the second element, and so on.\n     *\n     * @private\n     * @param {Array} array The array to reorder.\n     * @param {Array} indexes The arranged array indexes.\n     * @returns {Array} Returns `array`.\n     */\n    function reorder(array, indexes) {\n      var arrLength = array.length,\n          length = nativeMin(indexes.length, arrLength),\n          oldArray = copyArray(array);\n\n      while (length--) {\n        var index = indexes[length];\n        array[length] = isIndex(index, arrLength) ? oldArray[index] : undefined;\n      }\n      return array;\n    }\n\n    /**\n     * Gets the value at `key`, unless `key` is \"__proto__\" or \"constructor\".\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @param {string} key The key of the property to get.\n     * @returns {*} Returns the property value.\n     */\n    function safeGet(object, key) {\n      if (key === 'constructor' && typeof object[key] === 'function') {\n        return;\n      }\n\n      if (key == '__proto__') {\n        return;\n      }\n\n      return object[key];\n    }\n\n    /**\n     * Sets metadata for `func`.\n     *\n     * **Note:** If this function becomes hot, i.e. is invoked a lot in a short\n     * period of time, it will trip its breaker and transition to an identity\n     * function to avoid garbage collection pauses in V8. See\n     * [V8 issue 2070](https://bugs.chromium.org/p/v8/issues/detail?id=2070)\n     * for more details.\n     *\n     * @private\n     * @param {Function} func The function to associate metadata with.\n     * @param {*} data The metadata.\n     * @returns {Function} Returns `func`.\n     */\n    var setData = shortOut(baseSetData);\n\n    /**\n     * A simple wrapper around the global [`setTimeout`](https://mdn.io/setTimeout).\n     *\n     * @private\n     * @param {Function} func The function to delay.\n     * @param {number} wait The number of milliseconds to delay invocation.\n     * @returns {number|Object} Returns the timer id or timeout object.\n     */\n    var setTimeout = ctxSetTimeout || function(func, wait) {\n      return root.setTimeout(func, wait);\n    };\n\n    /**\n     * Sets the `toString` method of `func` to return `string`.\n     *\n     * @private\n     * @param {Function} func The function to modify.\n     * @param {Function} string The `toString` result.\n     * @returns {Function} Returns `func`.\n     */\n    var setToString = shortOut(baseSetToString);\n\n    /**\n     * Sets the `toString` method of `wrapper` to mimic the source of `reference`\n     * with wrapper details in a comment at the top of the source body.\n     *\n     * @private\n     * @param {Function} wrapper The function to modify.\n     * @param {Function} reference The reference function.\n     * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n     * @returns {Function} Returns `wrapper`.\n     */\n    function setWrapToString(wrapper, reference, bitmask) {\n      var source = (reference + '');\n      return setToString(wrapper, insertWrapDetails(source, updateWrapDetails(getWrapDetails(source), bitmask)));\n    }\n\n    /**\n     * Creates a function that'll short out and invoke `identity` instead\n     * of `func` when it's called `HOT_COUNT` or more times in `HOT_SPAN`\n     * milliseconds.\n     *\n     * @private\n     * @param {Function} func The function to restrict.\n     * @returns {Function} Returns the new shortable function.\n     */\n    function shortOut(func) {\n      var count = 0,\n          lastCalled = 0;\n\n      return function() {\n        var stamp = nativeNow(),\n            remaining = HOT_SPAN - (stamp - lastCalled);\n\n        lastCalled = stamp;\n        if (remaining > 0) {\n          if (++count >= HOT_COUNT) {\n            return arguments[0];\n          }\n        } else {\n          count = 0;\n        }\n        return func.apply(undefined, arguments);\n      };\n    }\n\n    /**\n     * A specialized version of `_.shuffle` which mutates and sets the size of `array`.\n     *\n     * @private\n     * @param {Array} array The array to shuffle.\n     * @param {number} [size=array.length] The size of `array`.\n     * @returns {Array} Returns `array`.\n     */\n    function shuffleSelf(array, size) {\n      var index = -1,\n          length = array.length,\n          lastIndex = length - 1;\n\n      size = size === undefined ? length : size;\n      while (++index < size) {\n        var rand = baseRandom(index, lastIndex),\n            value = array[rand];\n\n        array[rand] = array[index];\n        array[index] = value;\n      }\n      array.length = size;\n      return array;\n    }\n\n    /**\n     * Converts `string` to a property path array.\n     *\n     * @private\n     * @param {string} string The string to convert.\n     * @returns {Array} Returns the property path array.\n     */\n    var stringToPath = memoizeCapped(function(string) {\n      var result = [];\n      if (string.charCodeAt(0) === 46 /* . */) {\n        result.push('');\n      }\n      string.replace(rePropName, function(match, number, quote, subString) {\n        result.push(quote ? subString.replace(reEscapeChar, '$1') : (number || match));\n      });\n      return result;\n    });\n\n    /**\n     * Converts `value` to a string key if it's not a string or symbol.\n     *\n     * @private\n     * @param {*} value The value to inspect.\n     * @returns {string|symbol} Returns the key.\n     */\n    function toKey(value) {\n      if (typeof value == 'string' || isSymbol(value)) {\n        return value;\n      }\n      var result = (value + '');\n      return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result;\n    }\n\n    /**\n     * Converts `func` to its source code.\n     *\n     * @private\n     * @param {Function} func The function to convert.\n     * @returns {string} Returns the source code.\n     */\n    function toSource(func) {\n      if (func != null) {\n        try {\n          return funcToString.call(func);\n        } catch (e) {}\n        try {\n          return (func + '');\n        } catch (e) {}\n      }\n      return '';\n    }\n\n    /**\n     * Updates wrapper `details` based on `bitmask` flags.\n     *\n     * @private\n     * @returns {Array} details The details to modify.\n     * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n     * @returns {Array} Returns `details`.\n     */\n    function updateWrapDetails(details, bitmask) {\n      arrayEach(wrapFlags, function(pair) {\n        var value = '_.' + pair[0];\n        if ((bitmask & pair[1]) && !arrayIncludes(details, value)) {\n          details.push(value);\n        }\n      });\n      return details.sort();\n    }\n\n    /**\n     * Creates a clone of `wrapper`.\n     *\n     * @private\n     * @param {Object} wrapper The wrapper to clone.\n     * @returns {Object} Returns the cloned wrapper.\n     */\n    function wrapperClone(wrapper) {\n      if (wrapper instanceof LazyWrapper) {\n        return wrapper.clone();\n      }\n      var result = new LodashWrapper(wrapper.__wrapped__, wrapper.__chain__);\n      result.__actions__ = copyArray(wrapper.__actions__);\n      result.__index__  = wrapper.__index__;\n      result.__values__ = wrapper.__values__;\n      return result;\n    }\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Creates an array of elements split into groups the length of `size`.\n     * If `array` can't be split evenly, the final chunk will be the remaining\n     * elements.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The array to process.\n     * @param {number} [size=1] The length of each chunk\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Array} Returns the new array of chunks.\n     * @example\n     *\n     * _.chunk(['a', 'b', 'c', 'd'], 2);\n     * // => [['a', 'b'], ['c', 'd']]\n     *\n     * _.chunk(['a', 'b', 'c', 'd'], 3);\n     * // => [['a', 'b', 'c'], ['d']]\n     */\n    function chunk(array, size, guard) {\n      if ((guard ? isIterateeCall(array, size, guard) : size === undefined)) {\n        size = 1;\n      } else {\n        size = nativeMax(toInteger(size), 0);\n      }\n      var length = array == null ? 0 : array.length;\n      if (!length || size < 1) {\n        return [];\n      }\n      var index = 0,\n          resIndex = 0,\n          result = Array(nativeCeil(length / size));\n\n      while (index < length) {\n        result[resIndex++] = baseSlice(array, index, (index += size));\n      }\n      return result;\n    }\n\n    /**\n     * Creates an array with all falsey values removed. The values `false`, `null`,\n     * `0`, `\"\"`, `undefined`, and `NaN` are falsey.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The array to compact.\n     * @returns {Array} Returns the new array of filtered values.\n     * @example\n     *\n     * _.compact([0, 1, false, 2, '', 3]);\n     * // => [1, 2, 3]\n     */\n    function compact(array) {\n      var index = -1,\n          length = array == null ? 0 : array.length,\n          resIndex = 0,\n          result = [];\n\n      while (++index < length) {\n        var value = array[index];\n        if (value) {\n          result[resIndex++] = value;\n        }\n      }\n      return result;\n    }\n\n    /**\n     * Creates a new array concatenating `array` with any additional arrays\n     * and/or values.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to concatenate.\n     * @param {...*} [values] The values to concatenate.\n     * @returns {Array} Returns the new concatenated array.\n     * @example\n     *\n     * var array = [1];\n     * var other = _.concat(array, 2, [3], [[4]]);\n     *\n     * console.log(other);\n     * // => [1, 2, 3, [4]]\n     *\n     * console.log(array);\n     * // => [1]\n     */\n    function concat() {\n      var length = arguments.length;\n      if (!length) {\n        return [];\n      }\n      var args = Array(length - 1),\n          array = arguments[0],\n          index = length;\n\n      while (index--) {\n        args[index - 1] = arguments[index];\n      }\n      return arrayPush(isArray(array) ? copyArray(array) : [array], baseFlatten(args, 1));\n    }\n\n    /**\n     * Creates an array of `array` values not included in the other given arrays\n     * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n     * for equality comparisons. The order and references of result values are\n     * determined by the first array.\n     *\n     * **Note:** Unlike `_.pullAll`, this method returns a new array.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {...Array} [values] The values to exclude.\n     * @returns {Array} Returns the new array of filtered values.\n     * @see _.without, _.xor\n     * @example\n     *\n     * _.difference([2, 1], [2, 3]);\n     * // => [1]\n     */\n    var difference = baseRest(function(array, values) {\n      return isArrayLikeObject(array)\n        ? baseDifference(array, baseFlatten(values, 1, isArrayLikeObject, true))\n        : [];\n    });\n\n    /**\n     * This method is like `_.difference` except that it accepts `iteratee` which\n     * is invoked for each element of `array` and `values` to generate the criterion\n     * by which they're compared. The order and references of result values are\n     * determined by the first array. The iteratee is invoked with one argument:\n     * (value).\n     *\n     * **Note:** Unlike `_.pullAllBy`, this method returns a new array.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {...Array} [values] The values to exclude.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {Array} Returns the new array of filtered values.\n     * @example\n     *\n     * _.differenceBy([2.1, 1.2], [2.3, 3.4], Math.floor);\n     * // => [1.2]\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.differenceBy([{ 'x': 2 }, { 'x': 1 }], [{ 'x': 1 }], 'x');\n     * // => [{ 'x': 2 }]\n     */\n    var differenceBy = baseRest(function(array, values) {\n      var iteratee = last(values);\n      if (isArrayLikeObject(iteratee)) {\n        iteratee = undefined;\n      }\n      return isArrayLikeObject(array)\n        ? baseDifference(array, baseFlatten(values, 1, isArrayLikeObject, true), getIteratee(iteratee, 2))\n        : [];\n    });\n\n    /**\n     * This method is like `_.difference` except that it accepts `comparator`\n     * which is invoked to compare elements of `array` to `values`. The order and\n     * references of result values are determined by the first array. The comparator\n     * is invoked with two arguments: (arrVal, othVal).\n     *\n     * **Note:** Unlike `_.pullAllWith`, this method returns a new array.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {...Array} [values] The values to exclude.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns the new array of filtered values.\n     * @example\n     *\n     * var objects = [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }];\n     *\n     * _.differenceWith(objects, [{ 'x': 1, 'y': 2 }], _.isEqual);\n     * // => [{ 'x': 2, 'y': 1 }]\n     */\n    var differenceWith = baseRest(function(array, values) {\n      var comparator = last(values);\n      if (isArrayLikeObject(comparator)) {\n        comparator = undefined;\n      }\n      return isArrayLikeObject(array)\n        ? baseDifference(array, baseFlatten(values, 1, isArrayLikeObject, true), undefined, comparator)\n        : [];\n    });\n\n    /**\n     * Creates a slice of `array` with `n` elements dropped from the beginning.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.5.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @param {number} [n=1] The number of elements to drop.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Array} Returns the slice of `array`.\n     * @example\n     *\n     * _.drop([1, 2, 3]);\n     * // => [2, 3]\n     *\n     * _.drop([1, 2, 3], 2);\n     * // => [3]\n     *\n     * _.drop([1, 2, 3], 5);\n     * // => []\n     *\n     * _.drop([1, 2, 3], 0);\n     * // => [1, 2, 3]\n     */\n    function drop(array, n, guard) {\n      var length = array == null ? 0 : array.length;\n      if (!length) {\n        return [];\n      }\n      n = (guard || n === undefined) ? 1 : toInteger(n);\n      return baseSlice(array, n < 0 ? 0 : n, length);\n    }\n\n    /**\n     * Creates a slice of `array` with `n` elements dropped from the end.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @param {number} [n=1] The number of elements to drop.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Array} Returns the slice of `array`.\n     * @example\n     *\n     * _.dropRight([1, 2, 3]);\n     * // => [1, 2]\n     *\n     * _.dropRight([1, 2, 3], 2);\n     * // => [1]\n     *\n     * _.dropRight([1, 2, 3], 5);\n     * // => []\n     *\n     * _.dropRight([1, 2, 3], 0);\n     * // => [1, 2, 3]\n     */\n    function dropRight(array, n, guard) {\n      var length = array == null ? 0 : array.length;\n      if (!length) {\n        return [];\n      }\n      n = (guard || n === undefined) ? 1 : toInteger(n);\n      n = length - n;\n      return baseSlice(array, 0, n < 0 ? 0 : n);\n    }\n\n    /**\n     * Creates a slice of `array` excluding elements dropped from the end.\n     * Elements are dropped until `predicate` returns falsey. The predicate is\n     * invoked with three arguments: (value, index, array).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the slice of `array`.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney',  'active': true },\n     *   { 'user': 'fred',    'active': false },\n     *   { 'user': 'pebbles', 'active': false }\n     * ];\n     *\n     * _.dropRightWhile(users, function(o) { return !o.active; });\n     * // => objects for ['barney']\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.dropRightWhile(users, { 'user': 'pebbles', 'active': false });\n     * // => objects for ['barney', 'fred']\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.dropRightWhile(users, ['active', false]);\n     * // => objects for ['barney']\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.dropRightWhile(users, 'active');\n     * // => objects for ['barney', 'fred', 'pebbles']\n     */\n    function dropRightWhile(array, predicate) {\n      return (array && array.length)\n        ? baseWhile(array, getIteratee(predicate, 3), true, true)\n        : [];\n    }\n\n    /**\n     * Creates a slice of `array` excluding elements dropped from the beginning.\n     * Elements are dropped until `predicate` returns falsey. The predicate is\n     * invoked with three arguments: (value, index, array).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the slice of `array`.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney',  'active': false },\n     *   { 'user': 'fred',    'active': false },\n     *   { 'user': 'pebbles', 'active': true }\n     * ];\n     *\n     * _.dropWhile(users, function(o) { return !o.active; });\n     * // => objects for ['pebbles']\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.dropWhile(users, { 'user': 'barney', 'active': false });\n     * // => objects for ['fred', 'pebbles']\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.dropWhile(users, ['active', false]);\n     * // => objects for ['pebbles']\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.dropWhile(users, 'active');\n     * // => objects for ['barney', 'fred', 'pebbles']\n     */\n    function dropWhile(array, predicate) {\n      return (array && array.length)\n        ? baseWhile(array, getIteratee(predicate, 3), true)\n        : [];\n    }\n\n    /**\n     * Fills elements of `array` with `value` from `start` up to, but not\n     * including, `end`.\n     *\n     * **Note:** This method mutates `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.2.0\n     * @category Array\n     * @param {Array} array The array to fill.\n     * @param {*} value The value to fill `array` with.\n     * @param {number} [start=0] The start position.\n     * @param {number} [end=array.length] The end position.\n     * @returns {Array} Returns `array`.\n     * @example\n     *\n     * var array = [1, 2, 3];\n     *\n     * _.fill(array, 'a');\n     * console.log(array);\n     * // => ['a', 'a', 'a']\n     *\n     * _.fill(Array(3), 2);\n     * // => [2, 2, 2]\n     *\n     * _.fill([4, 6, 8, 10], '*', 1, 3);\n     * // => [4, '*', '*', 10]\n     */\n    function fill(array, value, start, end) {\n      var length = array == null ? 0 : array.length;\n      if (!length) {\n        return [];\n      }\n      if (start && typeof start != 'number' && isIterateeCall(array, value, start)) {\n        start = 0;\n        end = length;\n      }\n      return baseFill(array, value, start, end);\n    }\n\n    /**\n     * This method is like `_.find` except that it returns the index of the first\n     * element `predicate` returns truthy for instead of the element itself.\n     *\n     * @static\n     * @memberOf _\n     * @since 1.1.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @param {number} [fromIndex=0] The index to search from.\n     * @returns {number} Returns the index of the found element, else `-1`.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney',  'active': false },\n     *   { 'user': 'fred',    'active': false },\n     *   { 'user': 'pebbles', 'active': true }\n     * ];\n     *\n     * _.findIndex(users, function(o) { return o.user == 'barney'; });\n     * // => 0\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.findIndex(users, { 'user': 'fred', 'active': false });\n     * // => 1\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.findIndex(users, ['active', false]);\n     * // => 0\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.findIndex(users, 'active');\n     * // => 2\n     */\n    function findIndex(array, predicate, fromIndex) {\n      var length = array == null ? 0 : array.length;\n      if (!length) {\n        return -1;\n      }\n      var index = fromIndex == null ? 0 : toInteger(fromIndex);\n      if (index < 0) {\n        index = nativeMax(length + index, 0);\n      }\n      return baseFindIndex(array, getIteratee(predicate, 3), index);\n    }\n\n    /**\n     * This method is like `_.findIndex` except that it iterates over elements\n     * of `collection` from right to left.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.0.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @param {number} [fromIndex=array.length-1] The index to search from.\n     * @returns {number} Returns the index of the found element, else `-1`.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney',  'active': true },\n     *   { 'user': 'fred',    'active': false },\n     *   { 'user': 'pebbles', 'active': false }\n     * ];\n     *\n     * _.findLastIndex(users, function(o) { return o.user == 'pebbles'; });\n     * // => 2\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.findLastIndex(users, { 'user': 'barney', 'active': true });\n     * // => 0\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.findLastIndex(users, ['active', false]);\n     * // => 2\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.findLastIndex(users, 'active');\n     * // => 0\n     */\n    function findLastIndex(array, predicate, fromIndex) {\n      var length = array == null ? 0 : array.length;\n      if (!length) {\n        return -1;\n      }\n      var index = length - 1;\n      if (fromIndex !== undefined) {\n        index = toInteger(fromIndex);\n        index = fromIndex < 0\n          ? nativeMax(length + index, 0)\n          : nativeMin(index, length - 1);\n      }\n      return baseFindIndex(array, getIteratee(predicate, 3), index, true);\n    }\n\n    /**\n     * Flattens `array` a single level deep.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The array to flatten.\n     * @returns {Array} Returns the new flattened array.\n     * @example\n     *\n     * _.flatten([1, [2, [3, [4]], 5]]);\n     * // => [1, 2, [3, [4]], 5]\n     */\n    function flatten(array) {\n      var length = array == null ? 0 : array.length;\n      return length ? baseFlatten(array, 1) : [];\n    }\n\n    /**\n     * Recursively flattens `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The array to flatten.\n     * @returns {Array} Returns the new flattened array.\n     * @example\n     *\n     * _.flattenDeep([1, [2, [3, [4]], 5]]);\n     * // => [1, 2, 3, 4, 5]\n     */\n    function flattenDeep(array) {\n      var length = array == null ? 0 : array.length;\n      return length ? baseFlatten(array, INFINITY) : [];\n    }\n\n    /**\n     * Recursively flatten `array` up to `depth` times.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.4.0\n     * @category Array\n     * @param {Array} array The array to flatten.\n     * @param {number} [depth=1] The maximum recursion depth.\n     * @returns {Array} Returns the new flattened array.\n     * @example\n     *\n     * var array = [1, [2, [3, [4]], 5]];\n     *\n     * _.flattenDepth(array, 1);\n     * // => [1, 2, [3, [4]], 5]\n     *\n     * _.flattenDepth(array, 2);\n     * // => [1, 2, 3, [4], 5]\n     */\n    function flattenDepth(array, depth) {\n      var length = array == null ? 0 : array.length;\n      if (!length) {\n        return [];\n      }\n      depth = depth === undefined ? 1 : toInteger(depth);\n      return baseFlatten(array, depth);\n    }\n\n    /**\n     * The inverse of `_.toPairs`; this method returns an object composed\n     * from key-value `pairs`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} pairs The key-value pairs.\n     * @returns {Object} Returns the new object.\n     * @example\n     *\n     * _.fromPairs([['a', 1], ['b', 2]]);\n     * // => { 'a': 1, 'b': 2 }\n     */\n    function fromPairs(pairs) {\n      var index = -1,\n          length = pairs == null ? 0 : pairs.length,\n          result = {};\n\n      while (++index < length) {\n        var pair = pairs[index];\n        result[pair[0]] = pair[1];\n      }\n      return result;\n    }\n\n    /**\n     * Gets the first element of `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @alias first\n     * @category Array\n     * @param {Array} array The array to query.\n     * @returns {*} Returns the first element of `array`.\n     * @example\n     *\n     * _.head([1, 2, 3]);\n     * // => 1\n     *\n     * _.head([]);\n     * // => undefined\n     */\n    function head(array) {\n      return (array && array.length) ? array[0] : undefined;\n    }\n\n    /**\n     * Gets the index at which the first occurrence of `value` is found in `array`\n     * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n     * for equality comparisons. If `fromIndex` is negative, it's used as the\n     * offset from the end of `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {*} value The value to search for.\n     * @param {number} [fromIndex=0] The index to search from.\n     * @returns {number} Returns the index of the matched value, else `-1`.\n     * @example\n     *\n     * _.indexOf([1, 2, 1, 2], 2);\n     * // => 1\n     *\n     * // Search from the `fromIndex`.\n     * _.indexOf([1, 2, 1, 2], 2, 2);\n     * // => 3\n     */\n    function indexOf(array, value, fromIndex) {\n      var length = array == null ? 0 : array.length;\n      if (!length) {\n        return -1;\n      }\n      var index = fromIndex == null ? 0 : toInteger(fromIndex);\n      if (index < 0) {\n        index = nativeMax(length + index, 0);\n      }\n      return baseIndexOf(array, value, index);\n    }\n\n    /**\n     * Gets all but the last element of `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @returns {Array} Returns the slice of `array`.\n     * @example\n     *\n     * _.initial([1, 2, 3]);\n     * // => [1, 2]\n     */\n    function initial(array) {\n      var length = array == null ? 0 : array.length;\n      return length ? baseSlice(array, 0, -1) : [];\n    }\n\n    /**\n     * Creates an array of unique values that are included in all given arrays\n     * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n     * for equality comparisons. The order and references of result values are\n     * determined by the first array.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to inspect.\n     * @returns {Array} Returns the new array of intersecting values.\n     * @example\n     *\n     * _.intersection([2, 1], [2, 3]);\n     * // => [2]\n     */\n    var intersection = baseRest(function(arrays) {\n      var mapped = arrayMap(arrays, castArrayLikeObject);\n      return (mapped.length && mapped[0] === arrays[0])\n        ? baseIntersection(mapped)\n        : [];\n    });\n\n    /**\n     * This method is like `_.intersection` except that it accepts `iteratee`\n     * which is invoked for each element of each `arrays` to generate the criterion\n     * by which they're compared. The order and references of result values are\n     * determined by the first array. The iteratee is invoked with one argument:\n     * (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to inspect.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {Array} Returns the new array of intersecting values.\n     * @example\n     *\n     * _.intersectionBy([2.1, 1.2], [2.3, 3.4], Math.floor);\n     * // => [2.1]\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.intersectionBy([{ 'x': 1 }], [{ 'x': 2 }, { 'x': 1 }], 'x');\n     * // => [{ 'x': 1 }]\n     */\n    var intersectionBy = baseRest(function(arrays) {\n      var iteratee = last(arrays),\n          mapped = arrayMap(arrays, castArrayLikeObject);\n\n      if (iteratee === last(mapped)) {\n        iteratee = undefined;\n      } else {\n        mapped.pop();\n      }\n      return (mapped.length && mapped[0] === arrays[0])\n        ? baseIntersection(mapped, getIteratee(iteratee, 2))\n        : [];\n    });\n\n    /**\n     * This method is like `_.intersection` except that it accepts `comparator`\n     * which is invoked to compare elements of `arrays`. The order and references\n     * of result values are determined by the first array. The comparator is\n     * invoked with two arguments: (arrVal, othVal).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to inspect.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns the new array of intersecting values.\n     * @example\n     *\n     * var objects = [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }];\n     * var others = [{ 'x': 1, 'y': 1 }, { 'x': 1, 'y': 2 }];\n     *\n     * _.intersectionWith(objects, others, _.isEqual);\n     * // => [{ 'x': 1, 'y': 2 }]\n     */\n    var intersectionWith = baseRest(function(arrays) {\n      var comparator = last(arrays),\n          mapped = arrayMap(arrays, castArrayLikeObject);\n\n      comparator = typeof comparator == 'function' ? comparator : undefined;\n      if (comparator) {\n        mapped.pop();\n      }\n      return (mapped.length && mapped[0] === arrays[0])\n        ? baseIntersection(mapped, undefined, comparator)\n        : [];\n    });\n\n    /**\n     * Converts all elements in `array` into a string separated by `separator`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to convert.\n     * @param {string} [separator=','] The element separator.\n     * @returns {string} Returns the joined string.\n     * @example\n     *\n     * _.join(['a', 'b', 'c'], '~');\n     * // => 'a~b~c'\n     */\n    function join(array, separator) {\n      return array == null ? '' : nativeJoin.call(array, separator);\n    }\n\n    /**\n     * Gets the last element of `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @returns {*} Returns the last element of `array`.\n     * @example\n     *\n     * _.last([1, 2, 3]);\n     * // => 3\n     */\n    function last(array) {\n      var length = array == null ? 0 : array.length;\n      return length ? array[length - 1] : undefined;\n    }\n\n    /**\n     * This method is like `_.indexOf` except that it iterates over elements of\n     * `array` from right to left.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {*} value The value to search for.\n     * @param {number} [fromIndex=array.length-1] The index to search from.\n     * @returns {number} Returns the index of the matched value, else `-1`.\n     * @example\n     *\n     * _.lastIndexOf([1, 2, 1, 2], 2);\n     * // => 3\n     *\n     * // Search from the `fromIndex`.\n     * _.lastIndexOf([1, 2, 1, 2], 2, 2);\n     * // => 1\n     */\n    function lastIndexOf(array, value, fromIndex) {\n      var length = array == null ? 0 : array.length;\n      if (!length) {\n        return -1;\n      }\n      var index = length;\n      if (fromIndex !== undefined) {\n        index = toInteger(fromIndex);\n        index = index < 0 ? nativeMax(length + index, 0) : nativeMin(index, length - 1);\n      }\n      return value === value\n        ? strictLastIndexOf(array, value, index)\n        : baseFindIndex(array, baseIsNaN, index, true);\n    }\n\n    /**\n     * Gets the element at index `n` of `array`. If `n` is negative, the nth\n     * element from the end is returned.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.11.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @param {number} [n=0] The index of the element to return.\n     * @returns {*} Returns the nth element of `array`.\n     * @example\n     *\n     * var array = ['a', 'b', 'c', 'd'];\n     *\n     * _.nth(array, 1);\n     * // => 'b'\n     *\n     * _.nth(array, -2);\n     * // => 'c';\n     */\n    function nth(array, n) {\n      return (array && array.length) ? baseNth(array, toInteger(n)) : undefined;\n    }\n\n    /**\n     * Removes all given values from `array` using\n     * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n     * for equality comparisons.\n     *\n     * **Note:** Unlike `_.without`, this method mutates `array`. Use `_.remove`\n     * to remove elements from an array by predicate.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.0.0\n     * @category Array\n     * @param {Array} array The array to modify.\n     * @param {...*} [values] The values to remove.\n     * @returns {Array} Returns `array`.\n     * @example\n     *\n     * var array = ['a', 'b', 'c', 'a', 'b', 'c'];\n     *\n     * _.pull(array, 'a', 'c');\n     * console.log(array);\n     * // => ['b', 'b']\n     */\n    var pull = baseRest(pullAll);\n\n    /**\n     * This method is like `_.pull` except that it accepts an array of values to remove.\n     *\n     * **Note:** Unlike `_.difference`, this method mutates `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to modify.\n     * @param {Array} values The values to remove.\n     * @returns {Array} Returns `array`.\n     * @example\n     *\n     * var array = ['a', 'b', 'c', 'a', 'b', 'c'];\n     *\n     * _.pullAll(array, ['a', 'c']);\n     * console.log(array);\n     * // => ['b', 'b']\n     */\n    function pullAll(array, values) {\n      return (array && array.length && values && values.length)\n        ? basePullAll(array, values)\n        : array;\n    }\n\n    /**\n     * This method is like `_.pullAll` except that it accepts `iteratee` which is\n     * invoked for each element of `array` and `values` to generate the criterion\n     * by which they're compared. The iteratee is invoked with one argument: (value).\n     *\n     * **Note:** Unlike `_.differenceBy`, this method mutates `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to modify.\n     * @param {Array} values The values to remove.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {Array} Returns `array`.\n     * @example\n     *\n     * var array = [{ 'x': 1 }, { 'x': 2 }, { 'x': 3 }, { 'x': 1 }];\n     *\n     * _.pullAllBy(array, [{ 'x': 1 }, { 'x': 3 }], 'x');\n     * console.log(array);\n     * // => [{ 'x': 2 }]\n     */\n    function pullAllBy(array, values, iteratee) {\n      return (array && array.length && values && values.length)\n        ? basePullAll(array, values, getIteratee(iteratee, 2))\n        : array;\n    }\n\n    /**\n     * This method is like `_.pullAll` except that it accepts `comparator` which\n     * is invoked to compare elements of `array` to `values`. The comparator is\n     * invoked with two arguments: (arrVal, othVal).\n     *\n     * **Note:** Unlike `_.differenceWith`, this method mutates `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.6.0\n     * @category Array\n     * @param {Array} array The array to modify.\n     * @param {Array} values The values to remove.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns `array`.\n     * @example\n     *\n     * var array = [{ 'x': 1, 'y': 2 }, { 'x': 3, 'y': 4 }, { 'x': 5, 'y': 6 }];\n     *\n     * _.pullAllWith(array, [{ 'x': 3, 'y': 4 }], _.isEqual);\n     * console.log(array);\n     * // => [{ 'x': 1, 'y': 2 }, { 'x': 5, 'y': 6 }]\n     */\n    function pullAllWith(array, values, comparator) {\n      return (array && array.length && values && values.length)\n        ? basePullAll(array, values, undefined, comparator)\n        : array;\n    }\n\n    /**\n     * Removes elements from `array` corresponding to `indexes` and returns an\n     * array of removed elements.\n     *\n     * **Note:** Unlike `_.at`, this method mutates `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The array to modify.\n     * @param {...(number|number[])} [indexes] The indexes of elements to remove.\n     * @returns {Array} Returns the new array of removed elements.\n     * @example\n     *\n     * var array = ['a', 'b', 'c', 'd'];\n     * var pulled = _.pullAt(array, [1, 3]);\n     *\n     * console.log(array);\n     * // => ['a', 'c']\n     *\n     * console.log(pulled);\n     * // => ['b', 'd']\n     */\n    var pullAt = flatRest(function(array, indexes) {\n      var length = array == null ? 0 : array.length,\n          result = baseAt(array, indexes);\n\n      basePullAt(array, arrayMap(indexes, function(index) {\n        return isIndex(index, length) ? +index : index;\n      }).sort(compareAscending));\n\n      return result;\n    });\n\n    /**\n     * Removes all elements from `array` that `predicate` returns truthy for\n     * and returns an array of the removed elements. The predicate is invoked\n     * with three arguments: (value, index, array).\n     *\n     * **Note:** Unlike `_.filter`, this method mutates `array`. Use `_.pull`\n     * to pull elements from an array by value.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.0.0\n     * @category Array\n     * @param {Array} array The array to modify.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the new array of removed elements.\n     * @example\n     *\n     * var array = [1, 2, 3, 4];\n     * var evens = _.remove(array, function(n) {\n     *   return n % 2 == 0;\n     * });\n     *\n     * console.log(array);\n     * // => [1, 3]\n     *\n     * console.log(evens);\n     * // => [2, 4]\n     */\n    function remove(array, predicate) {\n      var result = [];\n      if (!(array && array.length)) {\n        return result;\n      }\n      var index = -1,\n          indexes = [],\n          length = array.length;\n\n      predicate = getIteratee(predicate, 3);\n      while (++index < length) {\n        var value = array[index];\n        if (predicate(value, index, array)) {\n          result.push(value);\n          indexes.push(index);\n        }\n      }\n      basePullAt(array, indexes);\n      return result;\n    }\n\n    /**\n     * Reverses `array` so that the first element becomes the last, the second\n     * element becomes the second to last, and so on.\n     *\n     * **Note:** This method mutates `array` and is based on\n     * [`Array#reverse`](https://mdn.io/Array/reverse).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to modify.\n     * @returns {Array} Returns `array`.\n     * @example\n     *\n     * var array = [1, 2, 3];\n     *\n     * _.reverse(array);\n     * // => [3, 2, 1]\n     *\n     * console.log(array);\n     * // => [3, 2, 1]\n     */\n    function reverse(array) {\n      return array == null ? array : nativeReverse.call(array);\n    }\n\n    /**\n     * Creates a slice of `array` from `start` up to, but not including, `end`.\n     *\n     * **Note:** This method is used instead of\n     * [`Array#slice`](https://mdn.io/Array/slice) to ensure dense arrays are\n     * returned.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The array to slice.\n     * @param {number} [start=0] The start position.\n     * @param {number} [end=array.length] The end position.\n     * @returns {Array} Returns the slice of `array`.\n     */\n    function slice(array, start, end) {\n      var length = array == null ? 0 : array.length;\n      if (!length) {\n        return [];\n      }\n      if (end && typeof end != 'number' && isIterateeCall(array, start, end)) {\n        start = 0;\n        end = length;\n      }\n      else {\n        start = start == null ? 0 : toInteger(start);\n        end = end === undefined ? length : toInteger(end);\n      }\n      return baseSlice(array, start, end);\n    }\n\n    /**\n     * Uses a binary search to determine the lowest index at which `value`\n     * should be inserted into `array` in order to maintain its sort order.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The sorted array to inspect.\n     * @param {*} value The value to evaluate.\n     * @returns {number} Returns the index at which `value` should be inserted\n     *  into `array`.\n     * @example\n     *\n     * _.sortedIndex([30, 50], 40);\n     * // => 1\n     */\n    function sortedIndex(array, value) {\n      return baseSortedIndex(array, value);\n    }\n\n    /**\n     * This method is like `_.sortedIndex` except that it accepts `iteratee`\n     * which is invoked for `value` and each element of `array` to compute their\n     * sort ranking. The iteratee is invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The sorted array to inspect.\n     * @param {*} value The value to evaluate.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {number} Returns the index at which `value` should be inserted\n     *  into `array`.\n     * @example\n     *\n     * var objects = [{ 'x': 4 }, { 'x': 5 }];\n     *\n     * _.sortedIndexBy(objects, { 'x': 4 }, function(o) { return o.x; });\n     * // => 0\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.sortedIndexBy(objects, { 'x': 4 }, 'x');\n     * // => 0\n     */\n    function sortedIndexBy(array, value, iteratee) {\n      return baseSortedIndexBy(array, value, getIteratee(iteratee, 2));\n    }\n\n    /**\n     * This method is like `_.indexOf` except that it performs a binary\n     * search on a sorted `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {*} value The value to search for.\n     * @returns {number} Returns the index of the matched value, else `-1`.\n     * @example\n     *\n     * _.sortedIndexOf([4, 5, 5, 5, 6], 5);\n     * // => 1\n     */\n    function sortedIndexOf(array, value) {\n      var length = array == null ? 0 : array.length;\n      if (length) {\n        var index = baseSortedIndex(array, value);\n        if (index < length && eq(array[index], value)) {\n          return index;\n        }\n      }\n      return -1;\n    }\n\n    /**\n     * This method is like `_.sortedIndex` except that it returns the highest\n     * index at which `value` should be inserted into `array` in order to\n     * maintain its sort order.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The sorted array to inspect.\n     * @param {*} value The value to evaluate.\n     * @returns {number} Returns the index at which `value` should be inserted\n     *  into `array`.\n     * @example\n     *\n     * _.sortedLastIndex([4, 5, 5, 5, 6], 5);\n     * // => 4\n     */\n    function sortedLastIndex(array, value) {\n      return baseSortedIndex(array, value, true);\n    }\n\n    /**\n     * This method is like `_.sortedLastIndex` except that it accepts `iteratee`\n     * which is invoked for `value` and each element of `array` to compute their\n     * sort ranking. The iteratee is invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The sorted array to inspect.\n     * @param {*} value The value to evaluate.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {number} Returns the index at which `value` should be inserted\n     *  into `array`.\n     * @example\n     *\n     * var objects = [{ 'x': 4 }, { 'x': 5 }];\n     *\n     * _.sortedLastIndexBy(objects, { 'x': 4 }, function(o) { return o.x; });\n     * // => 1\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.sortedLastIndexBy(objects, { 'x': 4 }, 'x');\n     * // => 1\n     */\n    function sortedLastIndexBy(array, value, iteratee) {\n      return baseSortedIndexBy(array, value, getIteratee(iteratee, 2), true);\n    }\n\n    /**\n     * This method is like `_.lastIndexOf` except that it performs a binary\n     * search on a sorted `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {*} value The value to search for.\n     * @returns {number} Returns the index of the matched value, else `-1`.\n     * @example\n     *\n     * _.sortedLastIndexOf([4, 5, 5, 5, 6], 5);\n     * // => 3\n     */\n    function sortedLastIndexOf(array, value) {\n      var length = array == null ? 0 : array.length;\n      if (length) {\n        var index = baseSortedIndex(array, value, true) - 1;\n        if (eq(array[index], value)) {\n          return index;\n        }\n      }\n      return -1;\n    }\n\n    /**\n     * This method is like `_.uniq` except that it's designed and optimized\n     * for sorted arrays.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @returns {Array} Returns the new duplicate free array.\n     * @example\n     *\n     * _.sortedUniq([1, 1, 2]);\n     * // => [1, 2]\n     */\n    function sortedUniq(array) {\n      return (array && array.length)\n        ? baseSortedUniq(array)\n        : [];\n    }\n\n    /**\n     * This method is like `_.uniqBy` except that it's designed and optimized\n     * for sorted arrays.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {Function} [iteratee] The iteratee invoked per element.\n     * @returns {Array} Returns the new duplicate free array.\n     * @example\n     *\n     * _.sortedUniqBy([1.1, 1.2, 2.3, 2.4], Math.floor);\n     * // => [1.1, 2.3]\n     */\n    function sortedUniqBy(array, iteratee) {\n      return (array && array.length)\n        ? baseSortedUniq(array, getIteratee(iteratee, 2))\n        : [];\n    }\n\n    /**\n     * Gets all but the first element of `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @returns {Array} Returns the slice of `array`.\n     * @example\n     *\n     * _.tail([1, 2, 3]);\n     * // => [2, 3]\n     */\n    function tail(array) {\n      var length = array == null ? 0 : array.length;\n      return length ? baseSlice(array, 1, length) : [];\n    }\n\n    /**\n     * Creates a slice of `array` with `n` elements taken from the beginning.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @param {number} [n=1] The number of elements to take.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Array} Returns the slice of `array`.\n     * @example\n     *\n     * _.take([1, 2, 3]);\n     * // => [1]\n     *\n     * _.take([1, 2, 3], 2);\n     * // => [1, 2]\n     *\n     * _.take([1, 2, 3], 5);\n     * // => [1, 2, 3]\n     *\n     * _.take([1, 2, 3], 0);\n     * // => []\n     */\n    function take(array, n, guard) {\n      if (!(array && array.length)) {\n        return [];\n      }\n      n = (guard || n === undefined) ? 1 : toInteger(n);\n      return baseSlice(array, 0, n < 0 ? 0 : n);\n    }\n\n    /**\n     * Creates a slice of `array` with `n` elements taken from the end.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @param {number} [n=1] The number of elements to take.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Array} Returns the slice of `array`.\n     * @example\n     *\n     * _.takeRight([1, 2, 3]);\n     * // => [3]\n     *\n     * _.takeRight([1, 2, 3], 2);\n     * // => [2, 3]\n     *\n     * _.takeRight([1, 2, 3], 5);\n     * // => [1, 2, 3]\n     *\n     * _.takeRight([1, 2, 3], 0);\n     * // => []\n     */\n    function takeRight(array, n, guard) {\n      var length = array == null ? 0 : array.length;\n      if (!length) {\n        return [];\n      }\n      n = (guard || n === undefined) ? 1 : toInteger(n);\n      n = length - n;\n      return baseSlice(array, n < 0 ? 0 : n, length);\n    }\n\n    /**\n     * Creates a slice of `array` with elements taken from the end. Elements are\n     * taken until `predicate` returns falsey. The predicate is invoked with\n     * three arguments: (value, index, array).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the slice of `array`.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney',  'active': true },\n     *   { 'user': 'fred',    'active': false },\n     *   { 'user': 'pebbles', 'active': false }\n     * ];\n     *\n     * _.takeRightWhile(users, function(o) { return !o.active; });\n     * // => objects for ['fred', 'pebbles']\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.takeRightWhile(users, { 'user': 'pebbles', 'active': false });\n     * // => objects for ['pebbles']\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.takeRightWhile(users, ['active', false]);\n     * // => objects for ['fred', 'pebbles']\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.takeRightWhile(users, 'active');\n     * // => []\n     */\n    function takeRightWhile(array, predicate) {\n      return (array && array.length)\n        ? baseWhile(array, getIteratee(predicate, 3), false, true)\n        : [];\n    }\n\n    /**\n     * Creates a slice of `array` with elements taken from the beginning. Elements\n     * are taken until `predicate` returns falsey. The predicate is invoked with\n     * three arguments: (value, index, array).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Array\n     * @param {Array} array The array to query.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the slice of `array`.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney',  'active': false },\n     *   { 'user': 'fred',    'active': false },\n     *   { 'user': 'pebbles', 'active': true }\n     * ];\n     *\n     * _.takeWhile(users, function(o) { return !o.active; });\n     * // => objects for ['barney', 'fred']\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.takeWhile(users, { 'user': 'barney', 'active': false });\n     * // => objects for ['barney']\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.takeWhile(users, ['active', false]);\n     * // => objects for ['barney', 'fred']\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.takeWhile(users, 'active');\n     * // => []\n     */\n    function takeWhile(array, predicate) {\n      return (array && array.length)\n        ? baseWhile(array, getIteratee(predicate, 3))\n        : [];\n    }\n\n    /**\n     * Creates an array of unique values, in order, from all given arrays using\n     * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n     * for equality comparisons.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to inspect.\n     * @returns {Array} Returns the new array of combined values.\n     * @example\n     *\n     * _.union([2], [1, 2]);\n     * // => [2, 1]\n     */\n    var union = baseRest(function(arrays) {\n      return baseUniq(baseFlatten(arrays, 1, isArrayLikeObject, true));\n    });\n\n    /**\n     * This method is like `_.union` except that it accepts `iteratee` which is\n     * invoked for each element of each `arrays` to generate the criterion by\n     * which uniqueness is computed. Result values are chosen from the first\n     * array in which the value occurs. The iteratee is invoked with one argument:\n     * (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to inspect.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {Array} Returns the new array of combined values.\n     * @example\n     *\n     * _.unionBy([2.1], [1.2, 2.3], Math.floor);\n     * // => [2.1, 1.2]\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.unionBy([{ 'x': 1 }], [{ 'x': 2 }, { 'x': 1 }], 'x');\n     * // => [{ 'x': 1 }, { 'x': 2 }]\n     */\n    var unionBy = baseRest(function(arrays) {\n      var iteratee = last(arrays);\n      if (isArrayLikeObject(iteratee)) {\n        iteratee = undefined;\n      }\n      return baseUniq(baseFlatten(arrays, 1, isArrayLikeObject, true), getIteratee(iteratee, 2));\n    });\n\n    /**\n     * This method is like `_.union` except that it accepts `comparator` which\n     * is invoked to compare elements of `arrays`. Result values are chosen from\n     * the first array in which the value occurs. The comparator is invoked\n     * with two arguments: (arrVal, othVal).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to inspect.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns the new array of combined values.\n     * @example\n     *\n     * var objects = [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }];\n     * var others = [{ 'x': 1, 'y': 1 }, { 'x': 1, 'y': 2 }];\n     *\n     * _.unionWith(objects, others, _.isEqual);\n     * // => [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }, { 'x': 1, 'y': 1 }]\n     */\n    var unionWith = baseRest(function(arrays) {\n      var comparator = last(arrays);\n      comparator = typeof comparator == 'function' ? comparator : undefined;\n      return baseUniq(baseFlatten(arrays, 1, isArrayLikeObject, true), undefined, comparator);\n    });\n\n    /**\n     * Creates a duplicate-free version of an array, using\n     * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n     * for equality comparisons, in which only the first occurrence of each element\n     * is kept. The order of result values is determined by the order they occur\n     * in the array.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @returns {Array} Returns the new duplicate free array.\n     * @example\n     *\n     * _.uniq([2, 1, 2]);\n     * // => [2, 1]\n     */\n    function uniq(array) {\n      return (array && array.length) ? baseUniq(array) : [];\n    }\n\n    /**\n     * This method is like `_.uniq` except that it accepts `iteratee` which is\n     * invoked for each element in `array` to generate the criterion by which\n     * uniqueness is computed. The order of result values is determined by the\n     * order they occur in the array. The iteratee is invoked with one argument:\n     * (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {Array} Returns the new duplicate free array.\n     * @example\n     *\n     * _.uniqBy([2.1, 1.2, 2.3], Math.floor);\n     * // => [2.1, 1.2]\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.uniqBy([{ 'x': 1 }, { 'x': 2 }, { 'x': 1 }], 'x');\n     * // => [{ 'x': 1 }, { 'x': 2 }]\n     */\n    function uniqBy(array, iteratee) {\n      return (array && array.length) ? baseUniq(array, getIteratee(iteratee, 2)) : [];\n    }\n\n    /**\n     * This method is like `_.uniq` except that it accepts `comparator` which\n     * is invoked to compare elements of `array`. The order of result values is\n     * determined by the order they occur in the array.The comparator is invoked\n     * with two arguments: (arrVal, othVal).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns the new duplicate free array.\n     * @example\n     *\n     * var objects = [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }, { 'x': 1, 'y': 2 }];\n     *\n     * _.uniqWith(objects, _.isEqual);\n     * // => [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }]\n     */\n    function uniqWith(array, comparator) {\n      comparator = typeof comparator == 'function' ? comparator : undefined;\n      return (array && array.length) ? baseUniq(array, undefined, comparator) : [];\n    }\n\n    /**\n     * This method is like `_.zip` except that it accepts an array of grouped\n     * elements and creates an array regrouping the elements to their pre-zip\n     * configuration.\n     *\n     * @static\n     * @memberOf _\n     * @since 1.2.0\n     * @category Array\n     * @param {Array} array The array of grouped elements to process.\n     * @returns {Array} Returns the new array of regrouped elements.\n     * @example\n     *\n     * var zipped = _.zip(['a', 'b'], [1, 2], [true, false]);\n     * // => [['a', 1, true], ['b', 2, false]]\n     *\n     * _.unzip(zipped);\n     * // => [['a', 'b'], [1, 2], [true, false]]\n     */\n    function unzip(array) {\n      if (!(array && array.length)) {\n        return [];\n      }\n      var length = 0;\n      array = arrayFilter(array, function(group) {\n        if (isArrayLikeObject(group)) {\n          length = nativeMax(group.length, length);\n          return true;\n        }\n      });\n      return baseTimes(length, function(index) {\n        return arrayMap(array, baseProperty(index));\n      });\n    }\n\n    /**\n     * This method is like `_.unzip` except that it accepts `iteratee` to specify\n     * how regrouped values should be combined. The iteratee is invoked with the\n     * elements of each group: (...group).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.8.0\n     * @category Array\n     * @param {Array} array The array of grouped elements to process.\n     * @param {Function} [iteratee=_.identity] The function to combine\n     *  regrouped values.\n     * @returns {Array} Returns the new array of regrouped elements.\n     * @example\n     *\n     * var zipped = _.zip([1, 2], [10, 20], [100, 200]);\n     * // => [[1, 10, 100], [2, 20, 200]]\n     *\n     * _.unzipWith(zipped, _.add);\n     * // => [3, 30, 300]\n     */\n    function unzipWith(array, iteratee) {\n      if (!(array && array.length)) {\n        return [];\n      }\n      var result = unzip(array);\n      if (iteratee == null) {\n        return result;\n      }\n      return arrayMap(result, function(group) {\n        return apply(iteratee, undefined, group);\n      });\n    }\n\n    /**\n     * Creates an array excluding all given values using\n     * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n     * for equality comparisons.\n     *\n     * **Note:** Unlike `_.pull`, this method returns a new array.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {Array} array The array to inspect.\n     * @param {...*} [values] The values to exclude.\n     * @returns {Array} Returns the new array of filtered values.\n     * @see _.difference, _.xor\n     * @example\n     *\n     * _.without([2, 1, 2, 3], 1, 2);\n     * // => [3]\n     */\n    var without = baseRest(function(array, values) {\n      return isArrayLikeObject(array)\n        ? baseDifference(array, values)\n        : [];\n    });\n\n    /**\n     * Creates an array of unique values that is the\n     * [symmetric difference](https://en.wikipedia.org/wiki/Symmetric_difference)\n     * of the given arrays. The order of result values is determined by the order\n     * they occur in the arrays.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.4.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to inspect.\n     * @returns {Array} Returns the new array of filtered values.\n     * @see _.difference, _.without\n     * @example\n     *\n     * _.xor([2, 1], [2, 3]);\n     * // => [1, 3]\n     */\n    var xor = baseRest(function(arrays) {\n      return baseXor(arrayFilter(arrays, isArrayLikeObject));\n    });\n\n    /**\n     * This method is like `_.xor` except that it accepts `iteratee` which is\n     * invoked for each element of each `arrays` to generate the criterion by\n     * which by which they're compared. The order of result values is determined\n     * by the order they occur in the arrays. The iteratee is invoked with one\n     * argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to inspect.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {Array} Returns the new array of filtered values.\n     * @example\n     *\n     * _.xorBy([2.1, 1.2], [2.3, 3.4], Math.floor);\n     * // => [1.2, 3.4]\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.xorBy([{ 'x': 1 }], [{ 'x': 2 }, { 'x': 1 }], 'x');\n     * // => [{ 'x': 2 }]\n     */\n    var xorBy = baseRest(function(arrays) {\n      var iteratee = last(arrays);\n      if (isArrayLikeObject(iteratee)) {\n        iteratee = undefined;\n      }\n      return baseXor(arrayFilter(arrays, isArrayLikeObject), getIteratee(iteratee, 2));\n    });\n\n    /**\n     * This method is like `_.xor` except that it accepts `comparator` which is\n     * invoked to compare elements of `arrays`. The order of result values is\n     * determined by the order they occur in the arrays. The comparator is invoked\n     * with two arguments: (arrVal, othVal).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to inspect.\n     * @param {Function} [comparator] The comparator invoked per element.\n     * @returns {Array} Returns the new array of filtered values.\n     * @example\n     *\n     * var objects = [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }];\n     * var others = [{ 'x': 1, 'y': 1 }, { 'x': 1, 'y': 2 }];\n     *\n     * _.xorWith(objects, others, _.isEqual);\n     * // => [{ 'x': 2, 'y': 1 }, { 'x': 1, 'y': 1 }]\n     */\n    var xorWith = baseRest(function(arrays) {\n      var comparator = last(arrays);\n      comparator = typeof comparator == 'function' ? comparator : undefined;\n      return baseXor(arrayFilter(arrays, isArrayLikeObject), undefined, comparator);\n    });\n\n    /**\n     * Creates an array of grouped elements, the first of which contains the\n     * first elements of the given arrays, the second of which contains the\n     * second elements of the given arrays, and so on.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to process.\n     * @returns {Array} Returns the new array of grouped elements.\n     * @example\n     *\n     * _.zip(['a', 'b'], [1, 2], [true, false]);\n     * // => [['a', 1, true], ['b', 2, false]]\n     */\n    var zip = baseRest(unzip);\n\n    /**\n     * This method is like `_.fromPairs` except that it accepts two arrays,\n     * one of property identifiers and one of corresponding values.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.4.0\n     * @category Array\n     * @param {Array} [props=[]] The property identifiers.\n     * @param {Array} [values=[]] The property values.\n     * @returns {Object} Returns the new object.\n     * @example\n     *\n     * _.zipObject(['a', 'b'], [1, 2]);\n     * // => { 'a': 1, 'b': 2 }\n     */\n    function zipObject(props, values) {\n      return baseZipObject(props || [], values || [], assignValue);\n    }\n\n    /**\n     * This method is like `_.zipObject` except that it supports property paths.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.1.0\n     * @category Array\n     * @param {Array} [props=[]] The property identifiers.\n     * @param {Array} [values=[]] The property values.\n     * @returns {Object} Returns the new object.\n     * @example\n     *\n     * _.zipObjectDeep(['a.b[0].c', 'a.b[1].d'], [1, 2]);\n     * // => { 'a': { 'b': [{ 'c': 1 }, { 'd': 2 }] } }\n     */\n    function zipObjectDeep(props, values) {\n      return baseZipObject(props || [], values || [], baseSet);\n    }\n\n    /**\n     * This method is like `_.zip` except that it accepts `iteratee` to specify\n     * how grouped values should be combined. The iteratee is invoked with the\n     * elements of each group: (...group).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.8.0\n     * @category Array\n     * @param {...Array} [arrays] The arrays to process.\n     * @param {Function} [iteratee=_.identity] The function to combine\n     *  grouped values.\n     * @returns {Array} Returns the new array of grouped elements.\n     * @example\n     *\n     * _.zipWith([1, 2], [10, 20], [100, 200], function(a, b, c) {\n     *   return a + b + c;\n     * });\n     * // => [111, 222]\n     */\n    var zipWith = baseRest(function(arrays) {\n      var length = arrays.length,\n          iteratee = length > 1 ? arrays[length - 1] : undefined;\n\n      iteratee = typeof iteratee == 'function' ? (arrays.pop(), iteratee) : undefined;\n      return unzipWith(arrays, iteratee);\n    });\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Creates a `lodash` wrapper instance that wraps `value` with explicit method\n     * chain sequences enabled. The result of such sequences must be unwrapped\n     * with `_#value`.\n     *\n     * @static\n     * @memberOf _\n     * @since 1.3.0\n     * @category Seq\n     * @param {*} value The value to wrap.\n     * @returns {Object} Returns the new `lodash` wrapper instance.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney',  'age': 36 },\n     *   { 'user': 'fred',    'age': 40 },\n     *   { 'user': 'pebbles', 'age': 1 }\n     * ];\n     *\n     * var youngest = _\n     *   .chain(users)\n     *   .sortBy('age')\n     *   .map(function(o) {\n     *     return o.user + ' is ' + o.age;\n     *   })\n     *   .head()\n     *   .value();\n     * // => 'pebbles is 1'\n     */\n    function chain(value) {\n      var result = lodash(value);\n      result.__chain__ = true;\n      return result;\n    }\n\n    /**\n     * This method invokes `interceptor` and returns `value`. The interceptor\n     * is invoked with one argument; (value). The purpose of this method is to\n     * \"tap into\" a method chain sequence in order to modify intermediate results.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Seq\n     * @param {*} value The value to provide to `interceptor`.\n     * @param {Function} interceptor The function to invoke.\n     * @returns {*} Returns `value`.\n     * @example\n     *\n     * _([1, 2, 3])\n     *  .tap(function(array) {\n     *    // Mutate input array.\n     *    array.pop();\n     *  })\n     *  .reverse()\n     *  .value();\n     * // => [2, 1]\n     */\n    function tap(value, interceptor) {\n      interceptor(value);\n      return value;\n    }\n\n    /**\n     * This method is like `_.tap` except that it returns the result of `interceptor`.\n     * The purpose of this method is to \"pass thru\" values replacing intermediate\n     * results in a method chain sequence.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Seq\n     * @param {*} value The value to provide to `interceptor`.\n     * @param {Function} interceptor The function to invoke.\n     * @returns {*} Returns the result of `interceptor`.\n     * @example\n     *\n     * _('  abc  ')\n     *  .chain()\n     *  .trim()\n     *  .thru(function(value) {\n     *    return [value];\n     *  })\n     *  .value();\n     * // => ['abc']\n     */\n    function thru(value, interceptor) {\n      return interceptor(value);\n    }\n\n    /**\n     * This method is the wrapper version of `_.at`.\n     *\n     * @name at\n     * @memberOf _\n     * @since 1.0.0\n     * @category Seq\n     * @param {...(string|string[])} [paths] The property paths to pick.\n     * @returns {Object} Returns the new `lodash` wrapper instance.\n     * @example\n     *\n     * var object = { 'a': [{ 'b': { 'c': 3 } }, 4] };\n     *\n     * _(object).at(['a[0].b.c', 'a[1]']).value();\n     * // => [3, 4]\n     */\n    var wrapperAt = flatRest(function(paths) {\n      var length = paths.length,\n          start = length ? paths[0] : 0,\n          value = this.__wrapped__,\n          interceptor = function(object) { return baseAt(object, paths); };\n\n      if (length > 1 || this.__actions__.length ||\n          !(value instanceof LazyWrapper) || !isIndex(start)) {\n        return this.thru(interceptor);\n      }\n      value = value.slice(start, +start + (length ? 1 : 0));\n      value.__actions__.push({\n        'func': thru,\n        'args': [interceptor],\n        'thisArg': undefined\n      });\n      return new LodashWrapper(value, this.__chain__).thru(function(array) {\n        if (length && !array.length) {\n          array.push(undefined);\n        }\n        return array;\n      });\n    });\n\n    /**\n     * Creates a `lodash` wrapper instance with explicit method chain sequences enabled.\n     *\n     * @name chain\n     * @memberOf _\n     * @since 0.1.0\n     * @category Seq\n     * @returns {Object} Returns the new `lodash` wrapper instance.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney', 'age': 36 },\n     *   { 'user': 'fred',   'age': 40 }\n     * ];\n     *\n     * // A sequence without explicit chaining.\n     * _(users).head();\n     * // => { 'user': 'barney', 'age': 36 }\n     *\n     * // A sequence with explicit chaining.\n     * _(users)\n     *   .chain()\n     *   .head()\n     *   .pick('user')\n     *   .value();\n     * // => { 'user': 'barney' }\n     */\n    function wrapperChain() {\n      return chain(this);\n    }\n\n    /**\n     * Executes the chain sequence and returns the wrapped result.\n     *\n     * @name commit\n     * @memberOf _\n     * @since 3.2.0\n     * @category Seq\n     * @returns {Object} Returns the new `lodash` wrapper instance.\n     * @example\n     *\n     * var array = [1, 2];\n     * var wrapped = _(array).push(3);\n     *\n     * console.log(array);\n     * // => [1, 2]\n     *\n     * wrapped = wrapped.commit();\n     * console.log(array);\n     * // => [1, 2, 3]\n     *\n     * wrapped.last();\n     * // => 3\n     *\n     * console.log(array);\n     * // => [1, 2, 3]\n     */\n    function wrapperCommit() {\n      return new LodashWrapper(this.value(), this.__chain__);\n    }\n\n    /**\n     * Gets the next value on a wrapped object following the\n     * [iterator protocol](https://mdn.io/iteration_protocols#iterator).\n     *\n     * @name next\n     * @memberOf _\n     * @since 4.0.0\n     * @category Seq\n     * @returns {Object} Returns the next iterator value.\n     * @example\n     *\n     * var wrapped = _([1, 2]);\n     *\n     * wrapped.next();\n     * // => { 'done': false, 'value': 1 }\n     *\n     * wrapped.next();\n     * // => { 'done': false, 'value': 2 }\n     *\n     * wrapped.next();\n     * // => { 'done': true, 'value': undefined }\n     */\n    function wrapperNext() {\n      if (this.__values__ === undefined) {\n        this.__values__ = toArray(this.value());\n      }\n      var done = this.__index__ >= this.__values__.length,\n          value = done ? undefined : this.__values__[this.__index__++];\n\n      return { 'done': done, 'value': value };\n    }\n\n    /**\n     * Enables the wrapper to be iterable.\n     *\n     * @name Symbol.iterator\n     * @memberOf _\n     * @since 4.0.0\n     * @category Seq\n     * @returns {Object} Returns the wrapper object.\n     * @example\n     *\n     * var wrapped = _([1, 2]);\n     *\n     * wrapped[Symbol.iterator]() === wrapped;\n     * // => true\n     *\n     * Array.from(wrapped);\n     * // => [1, 2]\n     */\n    function wrapperToIterator() {\n      return this;\n    }\n\n    /**\n     * Creates a clone of the chain sequence planting `value` as the wrapped value.\n     *\n     * @name plant\n     * @memberOf _\n     * @since 3.2.0\n     * @category Seq\n     * @param {*} value The value to plant.\n     * @returns {Object} Returns the new `lodash` wrapper instance.\n     * @example\n     *\n     * function square(n) {\n     *   return n * n;\n     * }\n     *\n     * var wrapped = _([1, 2]).map(square);\n     * var other = wrapped.plant([3, 4]);\n     *\n     * other.value();\n     * // => [9, 16]\n     *\n     * wrapped.value();\n     * // => [1, 4]\n     */\n    function wrapperPlant(value) {\n      var result,\n          parent = this;\n\n      while (parent instanceof baseLodash) {\n        var clone = wrapperClone(parent);\n        clone.__index__ = 0;\n        clone.__values__ = undefined;\n        if (result) {\n          previous.__wrapped__ = clone;\n        } else {\n          result = clone;\n        }\n        var previous = clone;\n        parent = parent.__wrapped__;\n      }\n      previous.__wrapped__ = value;\n      return result;\n    }\n\n    /**\n     * This method is the wrapper version of `_.reverse`.\n     *\n     * **Note:** This method mutates the wrapped array.\n     *\n     * @name reverse\n     * @memberOf _\n     * @since 0.1.0\n     * @category Seq\n     * @returns {Object} Returns the new `lodash` wrapper instance.\n     * @example\n     *\n     * var array = [1, 2, 3];\n     *\n     * _(array).reverse().value()\n     * // => [3, 2, 1]\n     *\n     * console.log(array);\n     * // => [3, 2, 1]\n     */\n    function wrapperReverse() {\n      var value = this.__wrapped__;\n      if (value instanceof LazyWrapper) {\n        var wrapped = value;\n        if (this.__actions__.length) {\n          wrapped = new LazyWrapper(this);\n        }\n        wrapped = wrapped.reverse();\n        wrapped.__actions__.push({\n          'func': thru,\n          'args': [reverse],\n          'thisArg': undefined\n        });\n        return new LodashWrapper(wrapped, this.__chain__);\n      }\n      return this.thru(reverse);\n    }\n\n    /**\n     * Executes the chain sequence to resolve the unwrapped value.\n     *\n     * @name value\n     * @memberOf _\n     * @since 0.1.0\n     * @alias toJSON, valueOf\n     * @category Seq\n     * @returns {*} Returns the resolved unwrapped value.\n     * @example\n     *\n     * _([1, 2, 3]).value();\n     * // => [1, 2, 3]\n     */\n    function wrapperValue() {\n      return baseWrapperValue(this.__wrapped__, this.__actions__);\n    }\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Creates an object composed of keys generated from the results of running\n     * each element of `collection` thru `iteratee`. The corresponding value of\n     * each key is the number of times the key was returned by `iteratee`. The\n     * iteratee is invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 0.5.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The iteratee to transform keys.\n     * @returns {Object} Returns the composed aggregate object.\n     * @example\n     *\n     * _.countBy([6.1, 4.2, 6.3], Math.floor);\n     * // => { '4': 1, '6': 2 }\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.countBy(['one', 'two', 'three'], 'length');\n     * // => { '3': 2, '5': 1 }\n     */\n    var countBy = createAggregator(function(result, value, key) {\n      if (hasOwnProperty.call(result, key)) {\n        ++result[key];\n      } else {\n        baseAssignValue(result, key, 1);\n      }\n    });\n\n    /**\n     * Checks if `predicate` returns truthy for **all** elements of `collection`.\n     * Iteration is stopped once `predicate` returns falsey. The predicate is\n     * invoked with three arguments: (value, index|key, collection).\n     *\n     * **Note:** This method returns `true` for\n     * [empty collections](https://en.wikipedia.org/wiki/Empty_set) because\n     * [everything is true](https://en.wikipedia.org/wiki/Vacuous_truth) of\n     * elements of empty collections.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {boolean} Returns `true` if all elements pass the predicate check,\n     *  else `false`.\n     * @example\n     *\n     * _.every([true, 1, null, 'yes'], Boolean);\n     * // => false\n     *\n     * var users = [\n     *   { 'user': 'barney', 'age': 36, 'active': false },\n     *   { 'user': 'fred',   'age': 40, 'active': false }\n     * ];\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.every(users, { 'user': 'barney', 'active': false });\n     * // => false\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.every(users, ['active', false]);\n     * // => true\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.every(users, 'active');\n     * // => false\n     */\n    function every(collection, predicate, guard) {\n      var func = isArray(collection) ? arrayEvery : baseEvery;\n      if (guard && isIterateeCall(collection, predicate, guard)) {\n        predicate = undefined;\n      }\n      return func(collection, getIteratee(predicate, 3));\n    }\n\n    /**\n     * Iterates over elements of `collection`, returning an array of all elements\n     * `predicate` returns truthy for. The predicate is invoked with three\n     * arguments: (value, index|key, collection).\n     *\n     * **Note:** Unlike `_.remove`, this method returns a new array.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the new filtered array.\n     * @see _.reject\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney', 'age': 36, 'active': true },\n     *   { 'user': 'fred',   'age': 40, 'active': false }\n     * ];\n     *\n     * _.filter(users, function(o) { return !o.active; });\n     * // => objects for ['fred']\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.filter(users, { 'age': 36, 'active': true });\n     * // => objects for ['barney']\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.filter(users, ['active', false]);\n     * // => objects for ['fred']\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.filter(users, 'active');\n     * // => objects for ['barney']\n     *\n     * // Combining several predicates using `_.overEvery` or `_.overSome`.\n     * _.filter(users, _.overSome([{ 'age': 36 }, ['age', 40]]));\n     * // => objects for ['fred', 'barney']\n     */\n    function filter(collection, predicate) {\n      var func = isArray(collection) ? arrayFilter : baseFilter;\n      return func(collection, getIteratee(predicate, 3));\n    }\n\n    /**\n     * Iterates over elements of `collection`, returning the first element\n     * `predicate` returns truthy for. The predicate is invoked with three\n     * arguments: (value, index|key, collection).\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to inspect.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @param {number} [fromIndex=0] The index to search from.\n     * @returns {*} Returns the matched element, else `undefined`.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney',  'age': 36, 'active': true },\n     *   { 'user': 'fred',    'age': 40, 'active': false },\n     *   { 'user': 'pebbles', 'age': 1,  'active': true }\n     * ];\n     *\n     * _.find(users, function(o) { return o.age < 40; });\n     * // => object for 'barney'\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.find(users, { 'age': 1, 'active': true });\n     * // => object for 'pebbles'\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.find(users, ['active', false]);\n     * // => object for 'fred'\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.find(users, 'active');\n     * // => object for 'barney'\n     */\n    var find = createFind(findIndex);\n\n    /**\n     * This method is like `_.find` except that it iterates over elements of\n     * `collection` from right to left.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.0.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to inspect.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @param {number} [fromIndex=collection.length-1] The index to search from.\n     * @returns {*} Returns the matched element, else `undefined`.\n     * @example\n     *\n     * _.findLast([1, 2, 3, 4], function(n) {\n     *   return n % 2 == 1;\n     * });\n     * // => 3\n     */\n    var findLast = createFind(findLastIndex);\n\n    /**\n     * Creates a flattened array of values by running each element in `collection`\n     * thru `iteratee` and flattening the mapped results. The iteratee is invoked\n     * with three arguments: (value, index|key, collection).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the new flattened array.\n     * @example\n     *\n     * function duplicate(n) {\n     *   return [n, n];\n     * }\n     *\n     * _.flatMap([1, 2], duplicate);\n     * // => [1, 1, 2, 2]\n     */\n    function flatMap(collection, iteratee) {\n      return baseFlatten(map(collection, iteratee), 1);\n    }\n\n    /**\n     * This method is like `_.flatMap` except that it recursively flattens the\n     * mapped results.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.7.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the new flattened array.\n     * @example\n     *\n     * function duplicate(n) {\n     *   return [[[n, n]]];\n     * }\n     *\n     * _.flatMapDeep([1, 2], duplicate);\n     * // => [1, 1, 2, 2]\n     */\n    function flatMapDeep(collection, iteratee) {\n      return baseFlatten(map(collection, iteratee), INFINITY);\n    }\n\n    /**\n     * This method is like `_.flatMap` except that it recursively flattens the\n     * mapped results up to `depth` times.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.7.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @param {number} [depth=1] The maximum recursion depth.\n     * @returns {Array} Returns the new flattened array.\n     * @example\n     *\n     * function duplicate(n) {\n     *   return [[[n, n]]];\n     * }\n     *\n     * _.flatMapDepth([1, 2], duplicate, 2);\n     * // => [[1, 1], [2, 2]]\n     */\n    function flatMapDepth(collection, iteratee, depth) {\n      depth = depth === undefined ? 1 : toInteger(depth);\n      return baseFlatten(map(collection, iteratee), depth);\n    }\n\n    /**\n     * Iterates over elements of `collection` and invokes `iteratee` for each element.\n     * The iteratee is invoked with three arguments: (value, index|key, collection).\n     * Iteratee functions may exit iteration early by explicitly returning `false`.\n     *\n     * **Note:** As with other \"Collections\" methods, objects with a \"length\"\n     * property are iterated like arrays. To avoid this behavior use `_.forIn`\n     * or `_.forOwn` for object iteration.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @alias each\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Array|Object} Returns `collection`.\n     * @see _.forEachRight\n     * @example\n     *\n     * _.forEach([1, 2], function(value) {\n     *   console.log(value);\n     * });\n     * // => Logs `1` then `2`.\n     *\n     * _.forEach({ 'a': 1, 'b': 2 }, function(value, key) {\n     *   console.log(key);\n     * });\n     * // => Logs 'a' then 'b' (iteration order is not guaranteed).\n     */\n    function forEach(collection, iteratee) {\n      var func = isArray(collection) ? arrayEach : baseEach;\n      return func(collection, getIteratee(iteratee, 3));\n    }\n\n    /**\n     * This method is like `_.forEach` except that it iterates over elements of\n     * `collection` from right to left.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.0.0\n     * @alias eachRight\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Array|Object} Returns `collection`.\n     * @see _.forEach\n     * @example\n     *\n     * _.forEachRight([1, 2], function(value) {\n     *   console.log(value);\n     * });\n     * // => Logs `2` then `1`.\n     */\n    function forEachRight(collection, iteratee) {\n      var func = isArray(collection) ? arrayEachRight : baseEachRight;\n      return func(collection, getIteratee(iteratee, 3));\n    }\n\n    /**\n     * Creates an object composed of keys generated from the results of running\n     * each element of `collection` thru `iteratee`. The order of grouped values\n     * is determined by the order they occur in `collection`. The corresponding\n     * value of each key is an array of elements responsible for generating the\n     * key. The iteratee is invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The iteratee to transform keys.\n     * @returns {Object} Returns the composed aggregate object.\n     * @example\n     *\n     * _.groupBy([6.1, 4.2, 6.3], Math.floor);\n     * // => { '4': [4.2], '6': [6.1, 6.3] }\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.groupBy(['one', 'two', 'three'], 'length');\n     * // => { '3': ['one', 'two'], '5': ['three'] }\n     */\n    var groupBy = createAggregator(function(result, value, key) {\n      if (hasOwnProperty.call(result, key)) {\n        result[key].push(value);\n      } else {\n        baseAssignValue(result, key, [value]);\n      }\n    });\n\n    /**\n     * Checks if `value` is in `collection`. If `collection` is a string, it's\n     * checked for a substring of `value`, otherwise\n     * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n     * is used for equality comparisons. If `fromIndex` is negative, it's used as\n     * the offset from the end of `collection`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object|string} collection The collection to inspect.\n     * @param {*} value The value to search for.\n     * @param {number} [fromIndex=0] The index to search from.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.reduce`.\n     * @returns {boolean} Returns `true` if `value` is found, else `false`.\n     * @example\n     *\n     * _.includes([1, 2, 3], 1);\n     * // => true\n     *\n     * _.includes([1, 2, 3], 1, 2);\n     * // => false\n     *\n     * _.includes({ 'a': 1, 'b': 2 }, 1);\n     * // => true\n     *\n     * _.includes('abcd', 'bc');\n     * // => true\n     */\n    function includes(collection, value, fromIndex, guard) {\n      collection = isArrayLike(collection) ? collection : values(collection);\n      fromIndex = (fromIndex && !guard) ? toInteger(fromIndex) : 0;\n\n      var length = collection.length;\n      if (fromIndex < 0) {\n        fromIndex = nativeMax(length + fromIndex, 0);\n      }\n      return isString(collection)\n        ? (fromIndex <= length && collection.indexOf(value, fromIndex) > -1)\n        : (!!length && baseIndexOf(collection, value, fromIndex) > -1);\n    }\n\n    /**\n     * Invokes the method at `path` of each element in `collection`, returning\n     * an array of the results of each invoked method. Any additional arguments\n     * are provided to each invoked method. If `path` is a function, it's invoked\n     * for, and `this` bound to, each element in `collection`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Array|Function|string} path The path of the method to invoke or\n     *  the function invoked per iteration.\n     * @param {...*} [args] The arguments to invoke each method with.\n     * @returns {Array} Returns the array of results.\n     * @example\n     *\n     * _.invokeMap([[5, 1, 7], [3, 2, 1]], 'sort');\n     * // => [[1, 5, 7], [1, 2, 3]]\n     *\n     * _.invokeMap([123, 456], String.prototype.split, '');\n     * // => [['1', '2', '3'], ['4', '5', '6']]\n     */\n    var invokeMap = baseRest(function(collection, path, args) {\n      var index = -1,\n          isFunc = typeof path == 'function',\n          result = isArrayLike(collection) ? Array(collection.length) : [];\n\n      baseEach(collection, function(value) {\n        result[++index] = isFunc ? apply(path, value, args) : baseInvoke(value, path, args);\n      });\n      return result;\n    });\n\n    /**\n     * Creates an object composed of keys generated from the results of running\n     * each element of `collection` thru `iteratee`. The corresponding value of\n     * each key is the last element responsible for generating the key. The\n     * iteratee is invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The iteratee to transform keys.\n     * @returns {Object} Returns the composed aggregate object.\n     * @example\n     *\n     * var array = [\n     *   { 'dir': 'left', 'code': 97 },\n     *   { 'dir': 'right', 'code': 100 }\n     * ];\n     *\n     * _.keyBy(array, function(o) {\n     *   return String.fromCharCode(o.code);\n     * });\n     * // => { 'a': { 'dir': 'left', 'code': 97 }, 'd': { 'dir': 'right', 'code': 100 } }\n     *\n     * _.keyBy(array, 'dir');\n     * // => { 'left': { 'dir': 'left', 'code': 97 }, 'right': { 'dir': 'right', 'code': 100 } }\n     */\n    var keyBy = createAggregator(function(result, value, key) {\n      baseAssignValue(result, key, value);\n    });\n\n    /**\n     * Creates an array of values by running each element in `collection` thru\n     * `iteratee`. The iteratee is invoked with three arguments:\n     * (value, index|key, collection).\n     *\n     * Many lodash methods are guarded to work as iteratees for methods like\n     * `_.every`, `_.filter`, `_.map`, `_.mapValues`, `_.reject`, and `_.some`.\n     *\n     * The guarded methods are:\n     * `ary`, `chunk`, `curry`, `curryRight`, `drop`, `dropRight`, `every`,\n     * `fill`, `invert`, `parseInt`, `random`, `range`, `rangeRight`, `repeat`,\n     * `sampleSize`, `slice`, `some`, `sortBy`, `split`, `take`, `takeRight`,\n     * `template`, `trim`, `trimEnd`, `trimStart`, and `words`\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the new mapped array.\n     * @example\n     *\n     * function square(n) {\n     *   return n * n;\n     * }\n     *\n     * _.map([4, 8], square);\n     * // => [16, 64]\n     *\n     * _.map({ 'a': 4, 'b': 8 }, square);\n     * // => [16, 64] (iteration order is not guaranteed)\n     *\n     * var users = [\n     *   { 'user': 'barney' },\n     *   { 'user': 'fred' }\n     * ];\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.map(users, 'user');\n     * // => ['barney', 'fred']\n     */\n    function map(collection, iteratee) {\n      var func = isArray(collection) ? arrayMap : baseMap;\n      return func(collection, getIteratee(iteratee, 3));\n    }\n\n    /**\n     * This method is like `_.sortBy` except that it allows specifying the sort\n     * orders of the iteratees to sort by. If `orders` is unspecified, all values\n     * are sorted in ascending order. Otherwise, specify an order of \"desc\" for\n     * descending or \"asc\" for ascending sort order of corresponding values.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Array[]|Function[]|Object[]|string[]} [iteratees=[_.identity]]\n     *  The iteratees to sort by.\n     * @param {string[]} [orders] The sort orders of `iteratees`.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.reduce`.\n     * @returns {Array} Returns the new sorted array.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'fred',   'age': 48 },\n     *   { 'user': 'barney', 'age': 34 },\n     *   { 'user': 'fred',   'age': 40 },\n     *   { 'user': 'barney', 'age': 36 }\n     * ];\n     *\n     * // Sort by `user` in ascending order and by `age` in descending order.\n     * _.orderBy(users, ['user', 'age'], ['asc', 'desc']);\n     * // => objects for [['barney', 36], ['barney', 34], ['fred', 48], ['fred', 40]]\n     */\n    function orderBy(collection, iteratees, orders, guard) {\n      if (collection == null) {\n        return [];\n      }\n      if (!isArray(iteratees)) {\n        iteratees = iteratees == null ? [] : [iteratees];\n      }\n      orders = guard ? undefined : orders;\n      if (!isArray(orders)) {\n        orders = orders == null ? [] : [orders];\n      }\n      return baseOrderBy(collection, iteratees, orders);\n    }\n\n    /**\n     * Creates an array of elements split into two groups, the first of which\n     * contains elements `predicate` returns truthy for, the second of which\n     * contains elements `predicate` returns falsey for. The predicate is\n     * invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the array of grouped elements.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney',  'age': 36, 'active': false },\n     *   { 'user': 'fred',    'age': 40, 'active': true },\n     *   { 'user': 'pebbles', 'age': 1,  'active': false }\n     * ];\n     *\n     * _.partition(users, function(o) { return o.active; });\n     * // => objects for [['fred'], ['barney', 'pebbles']]\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.partition(users, { 'age': 1, 'active': false });\n     * // => objects for [['pebbles'], ['barney', 'fred']]\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.partition(users, ['active', false]);\n     * // => objects for [['barney', 'pebbles'], ['fred']]\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.partition(users, 'active');\n     * // => objects for [['fred'], ['barney', 'pebbles']]\n     */\n    var partition = createAggregator(function(result, value, key) {\n      result[key ? 0 : 1].push(value);\n    }, function() { return [[], []]; });\n\n    /**\n     * Reduces `collection` to a value which is the accumulated result of running\n     * each element in `collection` thru `iteratee`, where each successive\n     * invocation is supplied the return value of the previous. If `accumulator`\n     * is not given, the first element of `collection` is used as the initial\n     * value. The iteratee is invoked with four arguments:\n     * (accumulator, value, index|key, collection).\n     *\n     * Many lodash methods are guarded to work as iteratees for methods like\n     * `_.reduce`, `_.reduceRight`, and `_.transform`.\n     *\n     * The guarded methods are:\n     * `assign`, `defaults`, `defaultsDeep`, `includes`, `merge`, `orderBy`,\n     * and `sortBy`\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @param {*} [accumulator] The initial value.\n     * @returns {*} Returns the accumulated value.\n     * @see _.reduceRight\n     * @example\n     *\n     * _.reduce([1, 2], function(sum, n) {\n     *   return sum + n;\n     * }, 0);\n     * // => 3\n     *\n     * _.reduce({ 'a': 1, 'b': 2, 'c': 1 }, function(result, value, key) {\n     *   (result[value] || (result[value] = [])).push(key);\n     *   return result;\n     * }, {});\n     * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed)\n     */\n    function reduce(collection, iteratee, accumulator) {\n      var func = isArray(collection) ? arrayReduce : baseReduce,\n          initAccum = arguments.length < 3;\n\n      return func(collection, getIteratee(iteratee, 4), accumulator, initAccum, baseEach);\n    }\n\n    /**\n     * This method is like `_.reduce` except that it iterates over elements of\n     * `collection` from right to left.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @param {*} [accumulator] The initial value.\n     * @returns {*} Returns the accumulated value.\n     * @see _.reduce\n     * @example\n     *\n     * var array = [[0, 1], [2, 3], [4, 5]];\n     *\n     * _.reduceRight(array, function(flattened, other) {\n     *   return flattened.concat(other);\n     * }, []);\n     * // => [4, 5, 2, 3, 0, 1]\n     */\n    function reduceRight(collection, iteratee, accumulator) {\n      var func = isArray(collection) ? arrayReduceRight : baseReduce,\n          initAccum = arguments.length < 3;\n\n      return func(collection, getIteratee(iteratee, 4), accumulator, initAccum, baseEachRight);\n    }\n\n    /**\n     * The opposite of `_.filter`; this method returns the elements of `collection`\n     * that `predicate` does **not** return truthy for.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the new filtered array.\n     * @see _.filter\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney', 'age': 36, 'active': false },\n     *   { 'user': 'fred',   'age': 40, 'active': true }\n     * ];\n     *\n     * _.reject(users, function(o) { return !o.active; });\n     * // => objects for ['fred']\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.reject(users, { 'age': 40, 'active': true });\n     * // => objects for ['barney']\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.reject(users, ['active', false]);\n     * // => objects for ['fred']\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.reject(users, 'active');\n     * // => objects for ['barney']\n     */\n    function reject(collection, predicate) {\n      var func = isArray(collection) ? arrayFilter : baseFilter;\n      return func(collection, negate(getIteratee(predicate, 3)));\n    }\n\n    /**\n     * Gets a random element from `collection`.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.0.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to sample.\n     * @returns {*} Returns the random element.\n     * @example\n     *\n     * _.sample([1, 2, 3, 4]);\n     * // => 2\n     */\n    function sample(collection) {\n      var func = isArray(collection) ? arraySample : baseSample;\n      return func(collection);\n    }\n\n    /**\n     * Gets `n` random elements at unique keys from `collection` up to the\n     * size of `collection`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to sample.\n     * @param {number} [n=1] The number of elements to sample.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Array} Returns the random elements.\n     * @example\n     *\n     * _.sampleSize([1, 2, 3], 2);\n     * // => [3, 1]\n     *\n     * _.sampleSize([1, 2, 3], 4);\n     * // => [2, 3, 1]\n     */\n    function sampleSize(collection, n, guard) {\n      if ((guard ? isIterateeCall(collection, n, guard) : n === undefined)) {\n        n = 1;\n      } else {\n        n = toInteger(n);\n      }\n      var func = isArray(collection) ? arraySampleSize : baseSampleSize;\n      return func(collection, n);\n    }\n\n    /**\n     * Creates an array of shuffled values, using a version of the\n     * [Fisher-Yates shuffle](https://en.wikipedia.org/wiki/Fisher-Yates_shuffle).\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to shuffle.\n     * @returns {Array} Returns the new shuffled array.\n     * @example\n     *\n     * _.shuffle([1, 2, 3, 4]);\n     * // => [4, 1, 3, 2]\n     */\n    function shuffle(collection) {\n      var func = isArray(collection) ? arrayShuffle : baseShuffle;\n      return func(collection);\n    }\n\n    /**\n     * Gets the size of `collection` by returning its length for array-like\n     * values or the number of own enumerable string keyed properties for objects.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object|string} collection The collection to inspect.\n     * @returns {number} Returns the collection size.\n     * @example\n     *\n     * _.size([1, 2, 3]);\n     * // => 3\n     *\n     * _.size({ 'a': 1, 'b': 2 });\n     * // => 2\n     *\n     * _.size('pebbles');\n     * // => 7\n     */\n    function size(collection) {\n      if (collection == null) {\n        return 0;\n      }\n      if (isArrayLike(collection)) {\n        return isString(collection) ? stringSize(collection) : collection.length;\n      }\n      var tag = getTag(collection);\n      if (tag == mapTag || tag == setTag) {\n        return collection.size;\n      }\n      return baseKeys(collection).length;\n    }\n\n    /**\n     * Checks if `predicate` returns truthy for **any** element of `collection`.\n     * Iteration is stopped once `predicate` returns truthy. The predicate is\n     * invoked with three arguments: (value, index|key, collection).\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {boolean} Returns `true` if any element passes the predicate check,\n     *  else `false`.\n     * @example\n     *\n     * _.some([null, 0, 'yes', false], Boolean);\n     * // => true\n     *\n     * var users = [\n     *   { 'user': 'barney', 'active': true },\n     *   { 'user': 'fred',   'active': false }\n     * ];\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.some(users, { 'user': 'barney', 'active': false });\n     * // => false\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.some(users, ['active', false]);\n     * // => true\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.some(users, 'active');\n     * // => true\n     */\n    function some(collection, predicate, guard) {\n      var func = isArray(collection) ? arraySome : baseSome;\n      if (guard && isIterateeCall(collection, predicate, guard)) {\n        predicate = undefined;\n      }\n      return func(collection, getIteratee(predicate, 3));\n    }\n\n    /**\n     * Creates an array of elements, sorted in ascending order by the results of\n     * running each element in a collection thru each iteratee. This method\n     * performs a stable sort, that is, it preserves the original sort order of\n     * equal elements. The iteratees are invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Collection\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {...(Function|Function[])} [iteratees=[_.identity]]\n     *  The iteratees to sort by.\n     * @returns {Array} Returns the new sorted array.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'fred',   'age': 48 },\n     *   { 'user': 'barney', 'age': 36 },\n     *   { 'user': 'fred',   'age': 30 },\n     *   { 'user': 'barney', 'age': 34 }\n     * ];\n     *\n     * _.sortBy(users, [function(o) { return o.user; }]);\n     * // => objects for [['barney', 36], ['barney', 34], ['fred', 48], ['fred', 30]]\n     *\n     * _.sortBy(users, ['user', 'age']);\n     * // => objects for [['barney', 34], ['barney', 36], ['fred', 30], ['fred', 48]]\n     */\n    var sortBy = baseRest(function(collection, iteratees) {\n      if (collection == null) {\n        return [];\n      }\n      var length = iteratees.length;\n      if (length > 1 && isIterateeCall(collection, iteratees[0], iteratees[1])) {\n        iteratees = [];\n      } else if (length > 2 && isIterateeCall(iteratees[0], iteratees[1], iteratees[2])) {\n        iteratees = [iteratees[0]];\n      }\n      return baseOrderBy(collection, baseFlatten(iteratees, 1), []);\n    });\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Gets the timestamp of the number of milliseconds that have elapsed since\n     * the Unix epoch (1 January 1970 00:00:00 UTC).\n     *\n     * @static\n     * @memberOf _\n     * @since 2.4.0\n     * @category Date\n     * @returns {number} Returns the timestamp.\n     * @example\n     *\n     * _.defer(function(stamp) {\n     *   console.log(_.now() - stamp);\n     * }, _.now());\n     * // => Logs the number of milliseconds it took for the deferred invocation.\n     */\n    var now = ctxNow || function() {\n      return root.Date.now();\n    };\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * The opposite of `_.before`; this method creates a function that invokes\n     * `func` once it's called `n` or more times.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Function\n     * @param {number} n The number of calls before `func` is invoked.\n     * @param {Function} func The function to restrict.\n     * @returns {Function} Returns the new restricted function.\n     * @example\n     *\n     * var saves = ['profile', 'settings'];\n     *\n     * var done = _.after(saves.length, function() {\n     *   console.log('done saving!');\n     * });\n     *\n     * _.forEach(saves, function(type) {\n     *   asyncSave({ 'type': type, 'complete': done });\n     * });\n     * // => Logs 'done saving!' after the two async saves have completed.\n     */\n    function after(n, func) {\n      if (typeof func != 'function') {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n      n = toInteger(n);\n      return function() {\n        if (--n < 1) {\n          return func.apply(this, arguments);\n        }\n      };\n    }\n\n    /**\n     * Creates a function that invokes `func`, with up to `n` arguments,\n     * ignoring any additional arguments.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Function\n     * @param {Function} func The function to cap arguments for.\n     * @param {number} [n=func.length] The arity cap.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Function} Returns the new capped function.\n     * @example\n     *\n     * _.map(['6', '8', '10'], _.ary(parseInt, 1));\n     * // => [6, 8, 10]\n     */\n    function ary(func, n, guard) {\n      n = guard ? undefined : n;\n      n = (func && n == null) ? func.length : n;\n      return createWrap(func, WRAP_ARY_FLAG, undefined, undefined, undefined, undefined, n);\n    }\n\n    /**\n     * Creates a function that invokes `func`, with the `this` binding and arguments\n     * of the created function, while it's called less than `n` times. Subsequent\n     * calls to the created function return the result of the last `func` invocation.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Function\n     * @param {number} n The number of calls at which `func` is no longer invoked.\n     * @param {Function} func The function to restrict.\n     * @returns {Function} Returns the new restricted function.\n     * @example\n     *\n     * jQuery(element).on('click', _.before(5, addContactToList));\n     * // => Allows adding up to 4 contacts to the list.\n     */\n    function before(n, func) {\n      var result;\n      if (typeof func != 'function') {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n      n = toInteger(n);\n      return function() {\n        if (--n > 0) {\n          result = func.apply(this, arguments);\n        }\n        if (n <= 1) {\n          func = undefined;\n        }\n        return result;\n      };\n    }\n\n    /**\n     * Creates a function that invokes `func` with the `this` binding of `thisArg`\n     * and `partials` prepended to the arguments it receives.\n     *\n     * The `_.bind.placeholder` value, which defaults to `_` in monolithic builds,\n     * may be used as a placeholder for partially applied arguments.\n     *\n     * **Note:** Unlike native `Function#bind`, this method doesn't set the \"length\"\n     * property of bound functions.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Function\n     * @param {Function} func The function to bind.\n     * @param {*} thisArg The `this` binding of `func`.\n     * @param {...*} [partials] The arguments to be partially applied.\n     * @returns {Function} Returns the new bound function.\n     * @example\n     *\n     * function greet(greeting, punctuation) {\n     *   return greeting + ' ' + this.user + punctuation;\n     * }\n     *\n     * var object = { 'user': 'fred' };\n     *\n     * var bound = _.bind(greet, object, 'hi');\n     * bound('!');\n     * // => 'hi fred!'\n     *\n     * // Bound with placeholders.\n     * var bound = _.bind(greet, object, _, '!');\n     * bound('hi');\n     * // => 'hi fred!'\n     */\n    var bind = baseRest(function(func, thisArg, partials) {\n      var bitmask = WRAP_BIND_FLAG;\n      if (partials.length) {\n        var holders = replaceHolders(partials, getHolder(bind));\n        bitmask |= WRAP_PARTIAL_FLAG;\n      }\n      return createWrap(func, bitmask, thisArg, partials, holders);\n    });\n\n    /**\n     * Creates a function that invokes the method at `object[key]` with `partials`\n     * prepended to the arguments it receives.\n     *\n     * This method differs from `_.bind` by allowing bound functions to reference\n     * methods that may be redefined or don't yet exist. See\n     * [Peter Michaux's article](http://peter.michaux.ca/articles/lazy-function-definition-pattern)\n     * for more details.\n     *\n     * The `_.bindKey.placeholder` value, which defaults to `_` in monolithic\n     * builds, may be used as a placeholder for partially applied arguments.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.10.0\n     * @category Function\n     * @param {Object} object The object to invoke the method on.\n     * @param {string} key The key of the method.\n     * @param {...*} [partials] The arguments to be partially applied.\n     * @returns {Function} Returns the new bound function.\n     * @example\n     *\n     * var object = {\n     *   'user': 'fred',\n     *   'greet': function(greeting, punctuation) {\n     *     return greeting + ' ' + this.user + punctuation;\n     *   }\n     * };\n     *\n     * var bound = _.bindKey(object, 'greet', 'hi');\n     * bound('!');\n     * // => 'hi fred!'\n     *\n     * object.greet = function(greeting, punctuation) {\n     *   return greeting + 'ya ' + this.user + punctuation;\n     * };\n     *\n     * bound('!');\n     * // => 'hiya fred!'\n     *\n     * // Bound with placeholders.\n     * var bound = _.bindKey(object, 'greet', _, '!');\n     * bound('hi');\n     * // => 'hiya fred!'\n     */\n    var bindKey = baseRest(function(object, key, partials) {\n      var bitmask = WRAP_BIND_FLAG | WRAP_BIND_KEY_FLAG;\n      if (partials.length) {\n        var holders = replaceHolders(partials, getHolder(bindKey));\n        bitmask |= WRAP_PARTIAL_FLAG;\n      }\n      return createWrap(key, bitmask, object, partials, holders);\n    });\n\n    /**\n     * Creates a function that accepts arguments of `func` and either invokes\n     * `func` returning its result, if at least `arity` number of arguments have\n     * been provided, or returns a function that accepts the remaining `func`\n     * arguments, and so on. The arity of `func` may be specified if `func.length`\n     * is not sufficient.\n     *\n     * The `_.curry.placeholder` value, which defaults to `_` in monolithic builds,\n     * may be used as a placeholder for provided arguments.\n     *\n     * **Note:** This method doesn't set the \"length\" property of curried functions.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.0.0\n     * @category Function\n     * @param {Function} func The function to curry.\n     * @param {number} [arity=func.length] The arity of `func`.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Function} Returns the new curried function.\n     * @example\n     *\n     * var abc = function(a, b, c) {\n     *   return [a, b, c];\n     * };\n     *\n     * var curried = _.curry(abc);\n     *\n     * curried(1)(2)(3);\n     * // => [1, 2, 3]\n     *\n     * curried(1, 2)(3);\n     * // => [1, 2, 3]\n     *\n     * curried(1, 2, 3);\n     * // => [1, 2, 3]\n     *\n     * // Curried with placeholders.\n     * curried(1)(_, 3)(2);\n     * // => [1, 2, 3]\n     */\n    function curry(func, arity, guard) {\n      arity = guard ? undefined : arity;\n      var result = createWrap(func, WRAP_CURRY_FLAG, undefined, undefined, undefined, undefined, undefined, arity);\n      result.placeholder = curry.placeholder;\n      return result;\n    }\n\n    /**\n     * This method is like `_.curry` except that arguments are applied to `func`\n     * in the manner of `_.partialRight` instead of `_.partial`.\n     *\n     * The `_.curryRight.placeholder` value, which defaults to `_` in monolithic\n     * builds, may be used as a placeholder for provided arguments.\n     *\n     * **Note:** This method doesn't set the \"length\" property of curried functions.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Function\n     * @param {Function} func The function to curry.\n     * @param {number} [arity=func.length] The arity of `func`.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Function} Returns the new curried function.\n     * @example\n     *\n     * var abc = function(a, b, c) {\n     *   return [a, b, c];\n     * };\n     *\n     * var curried = _.curryRight(abc);\n     *\n     * curried(3)(2)(1);\n     * // => [1, 2, 3]\n     *\n     * curried(2, 3)(1);\n     * // => [1, 2, 3]\n     *\n     * curried(1, 2, 3);\n     * // => [1, 2, 3]\n     *\n     * // Curried with placeholders.\n     * curried(3)(1, _)(2);\n     * // => [1, 2, 3]\n     */\n    function curryRight(func, arity, guard) {\n      arity = guard ? undefined : arity;\n      var result = createWrap(func, WRAP_CURRY_RIGHT_FLAG, undefined, undefined, undefined, undefined, undefined, arity);\n      result.placeholder = curryRight.placeholder;\n      return result;\n    }\n\n    /**\n     * Creates a debounced function that delays invoking `func` until after `wait`\n     * milliseconds have elapsed since the last time the debounced function was\n     * invoked. The debounced function comes with a `cancel` method to cancel\n     * delayed `func` invocations and a `flush` method to immediately invoke them.\n     * Provide `options` to indicate whether `func` should be invoked on the\n     * leading and/or trailing edge of the `wait` timeout. The `func` is invoked\n     * with the last arguments provided to the debounced function. Subsequent\n     * calls to the debounced function return the result of the last `func`\n     * invocation.\n     *\n     * **Note:** If `leading` and `trailing` options are `true`, `func` is\n     * invoked on the trailing edge of the timeout only if the debounced function\n     * is invoked more than once during the `wait` timeout.\n     *\n     * If `wait` is `0` and `leading` is `false`, `func` invocation is deferred\n     * until to the next tick, similar to `setTimeout` with a timeout of `0`.\n     *\n     * See [David Corbacho's article](https://css-tricks.com/debouncing-throttling-explained-examples/)\n     * for details over the differences between `_.debounce` and `_.throttle`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Function\n     * @param {Function} func The function to debounce.\n     * @param {number} [wait=0] The number of milliseconds to delay.\n     * @param {Object} [options={}] The options object.\n     * @param {boolean} [options.leading=false]\n     *  Specify invoking on the leading edge of the timeout.\n     * @param {number} [options.maxWait]\n     *  The maximum time `func` is allowed to be delayed before it's invoked.\n     * @param {boolean} [options.trailing=true]\n     *  Specify invoking on the trailing edge of the timeout.\n     * @returns {Function} Returns the new debounced function.\n     * @example\n     *\n     * // Avoid costly calculations while the window size is in flux.\n     * jQuery(window).on('resize', _.debounce(calculateLayout, 150));\n     *\n     * // Invoke `sendMail` when clicked, debouncing subsequent calls.\n     * jQuery(element).on('click', _.debounce(sendMail, 300, {\n     *   'leading': true,\n     *   'trailing': false\n     * }));\n     *\n     * // Ensure `batchLog` is invoked once after 1 second of debounced calls.\n     * var debounced = _.debounce(batchLog, 250, { 'maxWait': 1000 });\n     * var source = new EventSource('/stream');\n     * jQuery(source).on('message', debounced);\n     *\n     * // Cancel the trailing debounced invocation.\n     * jQuery(window).on('popstate', debounced.cancel);\n     */\n    function debounce(func, wait, options) {\n      var lastArgs,\n          lastThis,\n          maxWait,\n          result,\n          timerId,\n          lastCallTime,\n          lastInvokeTime = 0,\n          leading = false,\n          maxing = false,\n          trailing = true;\n\n      if (typeof func != 'function') {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n      wait = toNumber(wait) || 0;\n      if (isObject(options)) {\n        leading = !!options.leading;\n        maxing = 'maxWait' in options;\n        maxWait = maxing ? nativeMax(toNumber(options.maxWait) || 0, wait) : maxWait;\n        trailing = 'trailing' in options ? !!options.trailing : trailing;\n      }\n\n      function invokeFunc(time) {\n        var args = lastArgs,\n            thisArg = lastThis;\n\n        lastArgs = lastThis = undefined;\n        lastInvokeTime = time;\n        result = func.apply(thisArg, args);\n        return result;\n      }\n\n      function leadingEdge(time) {\n        // Reset any `maxWait` timer.\n        lastInvokeTime = time;\n        // Start the timer for the trailing edge.\n        timerId = setTimeout(timerExpired, wait);\n        // Invoke the leading edge.\n        return leading ? invokeFunc(time) : result;\n      }\n\n      function remainingWait(time) {\n        var timeSinceLastCall = time - lastCallTime,\n            timeSinceLastInvoke = time - lastInvokeTime,\n            timeWaiting = wait - timeSinceLastCall;\n\n        return maxing\n          ? nativeMin(timeWaiting, maxWait - timeSinceLastInvoke)\n          : timeWaiting;\n      }\n\n      function shouldInvoke(time) {\n        var timeSinceLastCall = time - lastCallTime,\n            timeSinceLastInvoke = time - lastInvokeTime;\n\n        // Either this is the first call, activity has stopped and we're at the\n        // trailing edge, the system time has gone backwards and we're treating\n        // it as the trailing edge, or we've hit the `maxWait` limit.\n        return (lastCallTime === undefined || (timeSinceLastCall >= wait) ||\n          (timeSinceLastCall < 0) || (maxing && timeSinceLastInvoke >= maxWait));\n      }\n\n      function timerExpired() {\n        var time = now();\n        if (shouldInvoke(time)) {\n          return trailingEdge(time);\n        }\n        // Restart the timer.\n        timerId = setTimeout(timerExpired, remainingWait(time));\n      }\n\n      function trailingEdge(time) {\n        timerId = undefined;\n\n        // Only invoke if we have `lastArgs` which means `func` has been\n        // debounced at least once.\n        if (trailing && lastArgs) {\n          return invokeFunc(time);\n        }\n        lastArgs = lastThis = undefined;\n        return result;\n      }\n\n      function cancel() {\n        if (timerId !== undefined) {\n          clearTimeout(timerId);\n        }\n        lastInvokeTime = 0;\n        lastArgs = lastCallTime = lastThis = timerId = undefined;\n      }\n\n      function flush() {\n        return timerId === undefined ? result : trailingEdge(now());\n      }\n\n      function debounced() {\n        var time = now(),\n            isInvoking = shouldInvoke(time);\n\n        lastArgs = arguments;\n        lastThis = this;\n        lastCallTime = time;\n\n        if (isInvoking) {\n          if (timerId === undefined) {\n            return leadingEdge(lastCallTime);\n          }\n          if (maxing) {\n            // Handle invocations in a tight loop.\n            clearTimeout(timerId);\n            timerId = setTimeout(timerExpired, wait);\n            return invokeFunc(lastCallTime);\n          }\n        }\n        if (timerId === undefined) {\n          timerId = setTimeout(timerExpired, wait);\n        }\n        return result;\n      }\n      debounced.cancel = cancel;\n      debounced.flush = flush;\n      return debounced;\n    }\n\n    /**\n     * Defers invoking the `func` until the current call stack has cleared. Any\n     * additional arguments are provided to `func` when it's invoked.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Function\n     * @param {Function} func The function to defer.\n     * @param {...*} [args] The arguments to invoke `func` with.\n     * @returns {number} Returns the timer id.\n     * @example\n     *\n     * _.defer(function(text) {\n     *   console.log(text);\n     * }, 'deferred');\n     * // => Logs 'deferred' after one millisecond.\n     */\n    var defer = baseRest(function(func, args) {\n      return baseDelay(func, 1, args);\n    });\n\n    /**\n     * Invokes `func` after `wait` milliseconds. Any additional arguments are\n     * provided to `func` when it's invoked.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Function\n     * @param {Function} func The function to delay.\n     * @param {number} wait The number of milliseconds to delay invocation.\n     * @param {...*} [args] The arguments to invoke `func` with.\n     * @returns {number} Returns the timer id.\n     * @example\n     *\n     * _.delay(function(text) {\n     *   console.log(text);\n     * }, 1000, 'later');\n     * // => Logs 'later' after one second.\n     */\n    var delay = baseRest(function(func, wait, args) {\n      return baseDelay(func, toNumber(wait) || 0, args);\n    });\n\n    /**\n     * Creates a function that invokes `func` with arguments reversed.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Function\n     * @param {Function} func The function to flip arguments for.\n     * @returns {Function} Returns the new flipped function.\n     * @example\n     *\n     * var flipped = _.flip(function() {\n     *   return _.toArray(arguments);\n     * });\n     *\n     * flipped('a', 'b', 'c', 'd');\n     * // => ['d', 'c', 'b', 'a']\n     */\n    function flip(func) {\n      return createWrap(func, WRAP_FLIP_FLAG);\n    }\n\n    /**\n     * Creates a function that memoizes the result of `func`. If `resolver` is\n     * provided, it determines the cache key for storing the result based on the\n     * arguments provided to the memoized function. By default, the first argument\n     * provided to the memoized function is used as the map cache key. The `func`\n     * is invoked with the `this` binding of the memoized function.\n     *\n     * **Note:** The cache is exposed as the `cache` property on the memoized\n     * function. Its creation may be customized by replacing the `_.memoize.Cache`\n     * constructor with one whose instances implement the\n     * [`Map`](http://ecma-international.org/ecma-262/7.0/#sec-properties-of-the-map-prototype-object)\n     * method interface of `clear`, `delete`, `get`, `has`, and `set`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Function\n     * @param {Function} func The function to have its output memoized.\n     * @param {Function} [resolver] The function to resolve the cache key.\n     * @returns {Function} Returns the new memoized function.\n     * @example\n     *\n     * var object = { 'a': 1, 'b': 2 };\n     * var other = { 'c': 3, 'd': 4 };\n     *\n     * var values = _.memoize(_.values);\n     * values(object);\n     * // => [1, 2]\n     *\n     * values(other);\n     * // => [3, 4]\n     *\n     * object.a = 2;\n     * values(object);\n     * // => [1, 2]\n     *\n     * // Modify the result cache.\n     * values.cache.set(object, ['a', 'b']);\n     * values(object);\n     * // => ['a', 'b']\n     *\n     * // Replace `_.memoize.Cache`.\n     * _.memoize.Cache = WeakMap;\n     */\n    function memoize(func, resolver) {\n      if (typeof func != 'function' || (resolver != null && typeof resolver != 'function')) {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n      var memoized = function() {\n        var args = arguments,\n            key = resolver ? resolver.apply(this, args) : args[0],\n            cache = memoized.cache;\n\n        if (cache.has(key)) {\n          return cache.get(key);\n        }\n        var result = func.apply(this, args);\n        memoized.cache = cache.set(key, result) || cache;\n        return result;\n      };\n      memoized.cache = new (memoize.Cache || MapCache);\n      return memoized;\n    }\n\n    // Expose `MapCache`.\n    memoize.Cache = MapCache;\n\n    /**\n     * Creates a function that negates the result of the predicate `func`. The\n     * `func` predicate is invoked with the `this` binding and arguments of the\n     * created function.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Function\n     * @param {Function} predicate The predicate to negate.\n     * @returns {Function} Returns the new negated function.\n     * @example\n     *\n     * function isEven(n) {\n     *   return n % 2 == 0;\n     * }\n     *\n     * _.filter([1, 2, 3, 4, 5, 6], _.negate(isEven));\n     * // => [1, 3, 5]\n     */\n    function negate(predicate) {\n      if (typeof predicate != 'function') {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n      return function() {\n        var args = arguments;\n        switch (args.length) {\n          case 0: return !predicate.call(this);\n          case 1: return !predicate.call(this, args[0]);\n          case 2: return !predicate.call(this, args[0], args[1]);\n          case 3: return !predicate.call(this, args[0], args[1], args[2]);\n        }\n        return !predicate.apply(this, args);\n      };\n    }\n\n    /**\n     * Creates a function that is restricted to invoking `func` once. Repeat calls\n     * to the function return the value of the first invocation. The `func` is\n     * invoked with the `this` binding and arguments of the created function.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Function\n     * @param {Function} func The function to restrict.\n     * @returns {Function} Returns the new restricted function.\n     * @example\n     *\n     * var initialize = _.once(createApplication);\n     * initialize();\n     * initialize();\n     * // => `createApplication` is invoked once\n     */\n    function once(func) {\n      return before(2, func);\n    }\n\n    /**\n     * Creates a function that invokes `func` with its arguments transformed.\n     *\n     * @static\n     * @since 4.0.0\n     * @memberOf _\n     * @category Function\n     * @param {Function} func The function to wrap.\n     * @param {...(Function|Function[])} [transforms=[_.identity]]\n     *  The argument transforms.\n     * @returns {Function} Returns the new function.\n     * @example\n     *\n     * function doubled(n) {\n     *   return n * 2;\n     * }\n     *\n     * function square(n) {\n     *   return n * n;\n     * }\n     *\n     * var func = _.overArgs(function(x, y) {\n     *   return [x, y];\n     * }, [square, doubled]);\n     *\n     * func(9, 3);\n     * // => [81, 6]\n     *\n     * func(10, 5);\n     * // => [100, 10]\n     */\n    var overArgs = castRest(function(func, transforms) {\n      transforms = (transforms.length == 1 && isArray(transforms[0]))\n        ? arrayMap(transforms[0], baseUnary(getIteratee()))\n        : arrayMap(baseFlatten(transforms, 1), baseUnary(getIteratee()));\n\n      var funcsLength = transforms.length;\n      return baseRest(function(args) {\n        var index = -1,\n            length = nativeMin(args.length, funcsLength);\n\n        while (++index < length) {\n          args[index] = transforms[index].call(this, args[index]);\n        }\n        return apply(func, this, args);\n      });\n    });\n\n    /**\n     * Creates a function that invokes `func` with `partials` prepended to the\n     * arguments it receives. This method is like `_.bind` except it does **not**\n     * alter the `this` binding.\n     *\n     * The `_.partial.placeholder` value, which defaults to `_` in monolithic\n     * builds, may be used as a placeholder for partially applied arguments.\n     *\n     * **Note:** This method doesn't set the \"length\" property of partially\n     * applied functions.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.2.0\n     * @category Function\n     * @param {Function} func The function to partially apply arguments to.\n     * @param {...*} [partials] The arguments to be partially applied.\n     * @returns {Function} Returns the new partially applied function.\n     * @example\n     *\n     * function greet(greeting, name) {\n     *   return greeting + ' ' + name;\n     * }\n     *\n     * var sayHelloTo = _.partial(greet, 'hello');\n     * sayHelloTo('fred');\n     * // => 'hello fred'\n     *\n     * // Partially applied with placeholders.\n     * var greetFred = _.partial(greet, _, 'fred');\n     * greetFred('hi');\n     * // => 'hi fred'\n     */\n    var partial = baseRest(function(func, partials) {\n      var holders = replaceHolders(partials, getHolder(partial));\n      return createWrap(func, WRAP_PARTIAL_FLAG, undefined, partials, holders);\n    });\n\n    /**\n     * This method is like `_.partial` except that partially applied arguments\n     * are appended to the arguments it receives.\n     *\n     * The `_.partialRight.placeholder` value, which defaults to `_` in monolithic\n     * builds, may be used as a placeholder for partially applied arguments.\n     *\n     * **Note:** This method doesn't set the \"length\" property of partially\n     * applied functions.\n     *\n     * @static\n     * @memberOf _\n     * @since 1.0.0\n     * @category Function\n     * @param {Function} func The function to partially apply arguments to.\n     * @param {...*} [partials] The arguments to be partially applied.\n     * @returns {Function} Returns the new partially applied function.\n     * @example\n     *\n     * function greet(greeting, name) {\n     *   return greeting + ' ' + name;\n     * }\n     *\n     * var greetFred = _.partialRight(greet, 'fred');\n     * greetFred('hi');\n     * // => 'hi fred'\n     *\n     * // Partially applied with placeholders.\n     * var sayHelloTo = _.partialRight(greet, 'hello', _);\n     * sayHelloTo('fred');\n     * // => 'hello fred'\n     */\n    var partialRight = baseRest(function(func, partials) {\n      var holders = replaceHolders(partials, getHolder(partialRight));\n      return createWrap(func, WRAP_PARTIAL_RIGHT_FLAG, undefined, partials, holders);\n    });\n\n    /**\n     * Creates a function that invokes `func` with arguments arranged according\n     * to the specified `indexes` where the argument value at the first index is\n     * provided as the first argument, the argument value at the second index is\n     * provided as the second argument, and so on.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Function\n     * @param {Function} func The function to rearrange arguments for.\n     * @param {...(number|number[])} indexes The arranged argument indexes.\n     * @returns {Function} Returns the new function.\n     * @example\n     *\n     * var rearged = _.rearg(function(a, b, c) {\n     *   return [a, b, c];\n     * }, [2, 0, 1]);\n     *\n     * rearged('b', 'c', 'a')\n     * // => ['a', 'b', 'c']\n     */\n    var rearg = flatRest(function(func, indexes) {\n      return createWrap(func, WRAP_REARG_FLAG, undefined, undefined, undefined, indexes);\n    });\n\n    /**\n     * Creates a function that invokes `func` with the `this` binding of the\n     * created function and arguments from `start` and beyond provided as\n     * an array.\n     *\n     * **Note:** This method is based on the\n     * [rest parameter](https://mdn.io/rest_parameters).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Function\n     * @param {Function} func The function to apply a rest parameter to.\n     * @param {number} [start=func.length-1] The start position of the rest parameter.\n     * @returns {Function} Returns the new function.\n     * @example\n     *\n     * var say = _.rest(function(what, names) {\n     *   return what + ' ' + _.initial(names).join(', ') +\n     *     (_.size(names) > 1 ? ', & ' : '') + _.last(names);\n     * });\n     *\n     * say('hello', 'fred', 'barney', 'pebbles');\n     * // => 'hello fred, barney, & pebbles'\n     */\n    function rest(func, start) {\n      if (typeof func != 'function') {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n      start = start === undefined ? start : toInteger(start);\n      return baseRest(func, start);\n    }\n\n    /**\n     * Creates a function that invokes `func` with the `this` binding of the\n     * create function and an array of arguments much like\n     * [`Function#apply`](http://www.ecma-international.org/ecma-262/7.0/#sec-function.prototype.apply).\n     *\n     * **Note:** This method is based on the\n     * [spread operator](https://mdn.io/spread_operator).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.2.0\n     * @category Function\n     * @param {Function} func The function to spread arguments over.\n     * @param {number} [start=0] The start position of the spread.\n     * @returns {Function} Returns the new function.\n     * @example\n     *\n     * var say = _.spread(function(who, what) {\n     *   return who + ' says ' + what;\n     * });\n     *\n     * say(['fred', 'hello']);\n     * // => 'fred says hello'\n     *\n     * var numbers = Promise.all([\n     *   Promise.resolve(40),\n     *   Promise.resolve(36)\n     * ]);\n     *\n     * numbers.then(_.spread(function(x, y) {\n     *   return x + y;\n     * }));\n     * // => a Promise of 76\n     */\n    function spread(func, start) {\n      if (typeof func != 'function') {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n      start = start == null ? 0 : nativeMax(toInteger(start), 0);\n      return baseRest(function(args) {\n        var array = args[start],\n            otherArgs = castSlice(args, 0, start);\n\n        if (array) {\n          arrayPush(otherArgs, array);\n        }\n        return apply(func, this, otherArgs);\n      });\n    }\n\n    /**\n     * Creates a throttled function that only invokes `func` at most once per\n     * every `wait` milliseconds. The throttled function comes with a `cancel`\n     * method to cancel delayed `func` invocations and a `flush` method to\n     * immediately invoke them. Provide `options` to indicate whether `func`\n     * should be invoked on the leading and/or trailing edge of the `wait`\n     * timeout. The `func` is invoked with the last arguments provided to the\n     * throttled function. Subsequent calls to the throttled function return the\n     * result of the last `func` invocation.\n     *\n     * **Note:** If `leading` and `trailing` options are `true`, `func` is\n     * invoked on the trailing edge of the timeout only if the throttled function\n     * is invoked more than once during the `wait` timeout.\n     *\n     * If `wait` is `0` and `leading` is `false`, `func` invocation is deferred\n     * until to the next tick, similar to `setTimeout` with a timeout of `0`.\n     *\n     * See [David Corbacho's article](https://css-tricks.com/debouncing-throttling-explained-examples/)\n     * for details over the differences between `_.throttle` and `_.debounce`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Function\n     * @param {Function} func The function to throttle.\n     * @param {number} [wait=0] The number of milliseconds to throttle invocations to.\n     * @param {Object} [options={}] The options object.\n     * @param {boolean} [options.leading=true]\n     *  Specify invoking on the leading edge of the timeout.\n     * @param {boolean} [options.trailing=true]\n     *  Specify invoking on the trailing edge of the timeout.\n     * @returns {Function} Returns the new throttled function.\n     * @example\n     *\n     * // Avoid excessively updating the position while scrolling.\n     * jQuery(window).on('scroll', _.throttle(updatePosition, 100));\n     *\n     * // Invoke `renewToken` when the click event is fired, but not more than once every 5 minutes.\n     * var throttled = _.throttle(renewToken, 300000, { 'trailing': false });\n     * jQuery(element).on('click', throttled);\n     *\n     * // Cancel the trailing throttled invocation.\n     * jQuery(window).on('popstate', throttled.cancel);\n     */\n    function throttle(func, wait, options) {\n      var leading = true,\n          trailing = true;\n\n      if (typeof func != 'function') {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n      if (isObject(options)) {\n        leading = 'leading' in options ? !!options.leading : leading;\n        trailing = 'trailing' in options ? !!options.trailing : trailing;\n      }\n      return debounce(func, wait, {\n        'leading': leading,\n        'maxWait': wait,\n        'trailing': trailing\n      });\n    }\n\n    /**\n     * Creates a function that accepts up to one argument, ignoring any\n     * additional arguments.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Function\n     * @param {Function} func The function to cap arguments for.\n     * @returns {Function} Returns the new capped function.\n     * @example\n     *\n     * _.map(['6', '8', '10'], _.unary(parseInt));\n     * // => [6, 8, 10]\n     */\n    function unary(func) {\n      return ary(func, 1);\n    }\n\n    /**\n     * Creates a function that provides `value` to `wrapper` as its first\n     * argument. Any additional arguments provided to the function are appended\n     * to those provided to the `wrapper`. The wrapper is invoked with the `this`\n     * binding of the created function.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Function\n     * @param {*} value The value to wrap.\n     * @param {Function} [wrapper=identity] The wrapper function.\n     * @returns {Function} Returns the new function.\n     * @example\n     *\n     * var p = _.wrap(_.escape, function(func, text) {\n     *   return '<p>' + func(text) + '</p>';\n     * });\n     *\n     * p('fred, barney, & pebbles');\n     * // => '<p>fred, barney, &amp; pebbles</p>'\n     */\n    function wrap(value, wrapper) {\n      return partial(castFunction(wrapper), value);\n    }\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Casts `value` as an array if it's not one.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.4.0\n     * @category Lang\n     * @param {*} value The value to inspect.\n     * @returns {Array} Returns the cast array.\n     * @example\n     *\n     * _.castArray(1);\n     * // => [1]\n     *\n     * _.castArray({ 'a': 1 });\n     * // => [{ 'a': 1 }]\n     *\n     * _.castArray('abc');\n     * // => ['abc']\n     *\n     * _.castArray(null);\n     * // => [null]\n     *\n     * _.castArray(undefined);\n     * // => [undefined]\n     *\n     * _.castArray();\n     * // => []\n     *\n     * var array = [1, 2, 3];\n     * console.log(_.castArray(array) === array);\n     * // => true\n     */\n    function castArray() {\n      if (!arguments.length) {\n        return [];\n      }\n      var value = arguments[0];\n      return isArray(value) ? value : [value];\n    }\n\n    /**\n     * Creates a shallow clone of `value`.\n     *\n     * **Note:** This method is loosely based on the\n     * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm)\n     * and supports cloning arrays, array buffers, booleans, date objects, maps,\n     * numbers, `Object` objects, regexes, sets, strings, symbols, and typed\n     * arrays. The own enumerable properties of `arguments` objects are cloned\n     * as plain objects. An empty object is returned for uncloneable values such\n     * as error objects, functions, DOM nodes, and WeakMaps.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to clone.\n     * @returns {*} Returns the cloned value.\n     * @see _.cloneDeep\n     * @example\n     *\n     * var objects = [{ 'a': 1 }, { 'b': 2 }];\n     *\n     * var shallow = _.clone(objects);\n     * console.log(shallow[0] === objects[0]);\n     * // => true\n     */\n    function clone(value) {\n      return baseClone(value, CLONE_SYMBOLS_FLAG);\n    }\n\n    /**\n     * This method is like `_.clone` except that it accepts `customizer` which\n     * is invoked to produce the cloned value. If `customizer` returns `undefined`,\n     * cloning is handled by the method instead. The `customizer` is invoked with\n     * up to four arguments; (value [, index|key, object, stack]).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to clone.\n     * @param {Function} [customizer] The function to customize cloning.\n     * @returns {*} Returns the cloned value.\n     * @see _.cloneDeepWith\n     * @example\n     *\n     * function customizer(value) {\n     *   if (_.isElement(value)) {\n     *     return value.cloneNode(false);\n     *   }\n     * }\n     *\n     * var el = _.cloneWith(document.body, customizer);\n     *\n     * console.log(el === document.body);\n     * // => false\n     * console.log(el.nodeName);\n     * // => 'BODY'\n     * console.log(el.childNodes.length);\n     * // => 0\n     */\n    function cloneWith(value, customizer) {\n      customizer = typeof customizer == 'function' ? customizer : undefined;\n      return baseClone(value, CLONE_SYMBOLS_FLAG, customizer);\n    }\n\n    /**\n     * This method is like `_.clone` except that it recursively clones `value`.\n     *\n     * @static\n     * @memberOf _\n     * @since 1.0.0\n     * @category Lang\n     * @param {*} value The value to recursively clone.\n     * @returns {*} Returns the deep cloned value.\n     * @see _.clone\n     * @example\n     *\n     * var objects = [{ 'a': 1 }, { 'b': 2 }];\n     *\n     * var deep = _.cloneDeep(objects);\n     * console.log(deep[0] === objects[0]);\n     * // => false\n     */\n    function cloneDeep(value) {\n      return baseClone(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG);\n    }\n\n    /**\n     * This method is like `_.cloneWith` except that it recursively clones `value`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to recursively clone.\n     * @param {Function} [customizer] The function to customize cloning.\n     * @returns {*} Returns the deep cloned value.\n     * @see _.cloneWith\n     * @example\n     *\n     * function customizer(value) {\n     *   if (_.isElement(value)) {\n     *     return value.cloneNode(true);\n     *   }\n     * }\n     *\n     * var el = _.cloneDeepWith(document.body, customizer);\n     *\n     * console.log(el === document.body);\n     * // => false\n     * console.log(el.nodeName);\n     * // => 'BODY'\n     * console.log(el.childNodes.length);\n     * // => 20\n     */\n    function cloneDeepWith(value, customizer) {\n      customizer = typeof customizer == 'function' ? customizer : undefined;\n      return baseClone(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG, customizer);\n    }\n\n    /**\n     * Checks if `object` conforms to `source` by invoking the predicate\n     * properties of `source` with the corresponding property values of `object`.\n     *\n     * **Note:** This method is equivalent to `_.conforms` when `source` is\n     * partially applied.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.14.0\n     * @category Lang\n     * @param {Object} object The object to inspect.\n     * @param {Object} source The object of property predicates to conform to.\n     * @returns {boolean} Returns `true` if `object` conforms, else `false`.\n     * @example\n     *\n     * var object = { 'a': 1, 'b': 2 };\n     *\n     * _.conformsTo(object, { 'b': function(n) { return n > 1; } });\n     * // => true\n     *\n     * _.conformsTo(object, { 'b': function(n) { return n > 2; } });\n     * // => false\n     */\n    function conformsTo(object, source) {\n      return source == null || baseConformsTo(object, source, keys(source));\n    }\n\n    /**\n     * Performs a\n     * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n     * comparison between two values to determine if they are equivalent.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n     * @example\n     *\n     * var object = { 'a': 1 };\n     * var other = { 'a': 1 };\n     *\n     * _.eq(object, object);\n     * // => true\n     *\n     * _.eq(object, other);\n     * // => false\n     *\n     * _.eq('a', 'a');\n     * // => true\n     *\n     * _.eq('a', Object('a'));\n     * // => false\n     *\n     * _.eq(NaN, NaN);\n     * // => true\n     */\n    function eq(value, other) {\n      return value === other || (value !== value && other !== other);\n    }\n\n    /**\n     * Checks if `value` is greater than `other`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.9.0\n     * @category Lang\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @returns {boolean} Returns `true` if `value` is greater than `other`,\n     *  else `false`.\n     * @see _.lt\n     * @example\n     *\n     * _.gt(3, 1);\n     * // => true\n     *\n     * _.gt(3, 3);\n     * // => false\n     *\n     * _.gt(1, 3);\n     * // => false\n     */\n    var gt = createRelationalOperation(baseGt);\n\n    /**\n     * Checks if `value` is greater than or equal to `other`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.9.0\n     * @category Lang\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @returns {boolean} Returns `true` if `value` is greater than or equal to\n     *  `other`, else `false`.\n     * @see _.lte\n     * @example\n     *\n     * _.gte(3, 1);\n     * // => true\n     *\n     * _.gte(3, 3);\n     * // => true\n     *\n     * _.gte(1, 3);\n     * // => false\n     */\n    var gte = createRelationalOperation(function(value, other) {\n      return value >= other;\n    });\n\n    /**\n     * Checks if `value` is likely an `arguments` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is an `arguments` object,\n     *  else `false`.\n     * @example\n     *\n     * _.isArguments(function() { return arguments; }());\n     * // => true\n     *\n     * _.isArguments([1, 2, 3]);\n     * // => false\n     */\n    var isArguments = baseIsArguments(function() { return arguments; }()) ? baseIsArguments : function(value) {\n      return isObjectLike(value) && hasOwnProperty.call(value, 'callee') &&\n        !propertyIsEnumerable.call(value, 'callee');\n    };\n\n    /**\n     * Checks if `value` is classified as an `Array` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is an array, else `false`.\n     * @example\n     *\n     * _.isArray([1, 2, 3]);\n     * // => true\n     *\n     * _.isArray(document.body.children);\n     * // => false\n     *\n     * _.isArray('abc');\n     * // => false\n     *\n     * _.isArray(_.noop);\n     * // => false\n     */\n    var isArray = Array.isArray;\n\n    /**\n     * Checks if `value` is classified as an `ArrayBuffer` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.3.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is an array buffer, else `false`.\n     * @example\n     *\n     * _.isArrayBuffer(new ArrayBuffer(2));\n     * // => true\n     *\n     * _.isArrayBuffer(new Array(2));\n     * // => false\n     */\n    var isArrayBuffer = nodeIsArrayBuffer ? baseUnary(nodeIsArrayBuffer) : baseIsArrayBuffer;\n\n    /**\n     * Checks if `value` is array-like. A value is considered array-like if it's\n     * not a function and has a `value.length` that's an integer greater than or\n     * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is array-like, else `false`.\n     * @example\n     *\n     * _.isArrayLike([1, 2, 3]);\n     * // => true\n     *\n     * _.isArrayLike(document.body.children);\n     * // => true\n     *\n     * _.isArrayLike('abc');\n     * // => true\n     *\n     * _.isArrayLike(_.noop);\n     * // => false\n     */\n    function isArrayLike(value) {\n      return value != null && isLength(value.length) && !isFunction(value);\n    }\n\n    /**\n     * This method is like `_.isArrayLike` except that it also checks if `value`\n     * is an object.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is an array-like object,\n     *  else `false`.\n     * @example\n     *\n     * _.isArrayLikeObject([1, 2, 3]);\n     * // => true\n     *\n     * _.isArrayLikeObject(document.body.children);\n     * // => true\n     *\n     * _.isArrayLikeObject('abc');\n     * // => false\n     *\n     * _.isArrayLikeObject(_.noop);\n     * // => false\n     */\n    function isArrayLikeObject(value) {\n      return isObjectLike(value) && isArrayLike(value);\n    }\n\n    /**\n     * Checks if `value` is classified as a boolean primitive or object.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a boolean, else `false`.\n     * @example\n     *\n     * _.isBoolean(false);\n     * // => true\n     *\n     * _.isBoolean(null);\n     * // => false\n     */\n    function isBoolean(value) {\n      return value === true || value === false ||\n        (isObjectLike(value) && baseGetTag(value) == boolTag);\n    }\n\n    /**\n     * Checks if `value` is a buffer.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.3.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a buffer, else `false`.\n     * @example\n     *\n     * _.isBuffer(new Buffer(2));\n     * // => true\n     *\n     * _.isBuffer(new Uint8Array(2));\n     * // => false\n     */\n    var isBuffer = nativeIsBuffer || stubFalse;\n\n    /**\n     * Checks if `value` is classified as a `Date` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a date object, else `false`.\n     * @example\n     *\n     * _.isDate(new Date);\n     * // => true\n     *\n     * _.isDate('Mon April 23 2012');\n     * // => false\n     */\n    var isDate = nodeIsDate ? baseUnary(nodeIsDate) : baseIsDate;\n\n    /**\n     * Checks if `value` is likely a DOM element.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a DOM element, else `false`.\n     * @example\n     *\n     * _.isElement(document.body);\n     * // => true\n     *\n     * _.isElement('<body>');\n     * // => false\n     */\n    function isElement(value) {\n      return isObjectLike(value) && value.nodeType === 1 && !isPlainObject(value);\n    }\n\n    /**\n     * Checks if `value` is an empty object, collection, map, or set.\n     *\n     * Objects are considered empty if they have no own enumerable string keyed\n     * properties.\n     *\n     * Array-like values such as `arguments` objects, arrays, buffers, strings, or\n     * jQuery-like collections are considered empty if they have a `length` of `0`.\n     * Similarly, maps and sets are considered empty if they have a `size` of `0`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is empty, else `false`.\n     * @example\n     *\n     * _.isEmpty(null);\n     * // => true\n     *\n     * _.isEmpty(true);\n     * // => true\n     *\n     * _.isEmpty(1);\n     * // => true\n     *\n     * _.isEmpty([1, 2, 3]);\n     * // => false\n     *\n     * _.isEmpty({ 'a': 1 });\n     * // => false\n     */\n    function isEmpty(value) {\n      if (value == null) {\n        return true;\n      }\n      if (isArrayLike(value) &&\n          (isArray(value) || typeof value == 'string' || typeof value.splice == 'function' ||\n            isBuffer(value) || isTypedArray(value) || isArguments(value))) {\n        return !value.length;\n      }\n      var tag = getTag(value);\n      if (tag == mapTag || tag == setTag) {\n        return !value.size;\n      }\n      if (isPrototype(value)) {\n        return !baseKeys(value).length;\n      }\n      for (var key in value) {\n        if (hasOwnProperty.call(value, key)) {\n          return false;\n        }\n      }\n      return true;\n    }\n\n    /**\n     * Performs a deep comparison between two values to determine if they are\n     * equivalent.\n     *\n     * **Note:** This method supports comparing arrays, array buffers, booleans,\n     * date objects, error objects, maps, numbers, `Object` objects, regexes,\n     * sets, strings, symbols, and typed arrays. `Object` objects are compared\n     * by their own, not inherited, enumerable properties. Functions and DOM\n     * nodes are compared by strict equality, i.e. `===`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n     * @example\n     *\n     * var object = { 'a': 1 };\n     * var other = { 'a': 1 };\n     *\n     * _.isEqual(object, other);\n     * // => true\n     *\n     * object === other;\n     * // => false\n     */\n    function isEqual(value, other) {\n      return baseIsEqual(value, other);\n    }\n\n    /**\n     * This method is like `_.isEqual` except that it accepts `customizer` which\n     * is invoked to compare values. If `customizer` returns `undefined`, comparisons\n     * are handled by the method instead. The `customizer` is invoked with up to\n     * six arguments: (objValue, othValue [, index|key, object, other, stack]).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @param {Function} [customizer] The function to customize comparisons.\n     * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n     * @example\n     *\n     * function isGreeting(value) {\n     *   return /^h(?:i|ello)$/.test(value);\n     * }\n     *\n     * function customizer(objValue, othValue) {\n     *   if (isGreeting(objValue) && isGreeting(othValue)) {\n     *     return true;\n     *   }\n     * }\n     *\n     * var array = ['hello', 'goodbye'];\n     * var other = ['hi', 'goodbye'];\n     *\n     * _.isEqualWith(array, other, customizer);\n     * // => true\n     */\n    function isEqualWith(value, other, customizer) {\n      customizer = typeof customizer == 'function' ? customizer : undefined;\n      var result = customizer ? customizer(value, other) : undefined;\n      return result === undefined ? baseIsEqual(value, other, undefined, customizer) : !!result;\n    }\n\n    /**\n     * Checks if `value` is an `Error`, `EvalError`, `RangeError`, `ReferenceError`,\n     * `SyntaxError`, `TypeError`, or `URIError` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is an error object, else `false`.\n     * @example\n     *\n     * _.isError(new Error);\n     * // => true\n     *\n     * _.isError(Error);\n     * // => false\n     */\n    function isError(value) {\n      if (!isObjectLike(value)) {\n        return false;\n      }\n      var tag = baseGetTag(value);\n      return tag == errorTag || tag == domExcTag ||\n        (typeof value.message == 'string' && typeof value.name == 'string' && !isPlainObject(value));\n    }\n\n    /**\n     * Checks if `value` is a finite primitive number.\n     *\n     * **Note:** This method is based on\n     * [`Number.isFinite`](https://mdn.io/Number/isFinite).\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a finite number, else `false`.\n     * @example\n     *\n     * _.isFinite(3);\n     * // => true\n     *\n     * _.isFinite(Number.MIN_VALUE);\n     * // => true\n     *\n     * _.isFinite(Infinity);\n     * // => false\n     *\n     * _.isFinite('3');\n     * // => false\n     */\n    function isFinite(value) {\n      return typeof value == 'number' && nativeIsFinite(value);\n    }\n\n    /**\n     * Checks if `value` is classified as a `Function` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a function, else `false`.\n     * @example\n     *\n     * _.isFunction(_);\n     * // => true\n     *\n     * _.isFunction(/abc/);\n     * // => false\n     */\n    function isFunction(value) {\n      if (!isObject(value)) {\n        return false;\n      }\n      // The use of `Object#toString` avoids issues with the `typeof` operator\n      // in Safari 9 which returns 'object' for typed arrays and other constructors.\n      var tag = baseGetTag(value);\n      return tag == funcTag || tag == genTag || tag == asyncTag || tag == proxyTag;\n    }\n\n    /**\n     * Checks if `value` is an integer.\n     *\n     * **Note:** This method is based on\n     * [`Number.isInteger`](https://mdn.io/Number/isInteger).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is an integer, else `false`.\n     * @example\n     *\n     * _.isInteger(3);\n     * // => true\n     *\n     * _.isInteger(Number.MIN_VALUE);\n     * // => false\n     *\n     * _.isInteger(Infinity);\n     * // => false\n     *\n     * _.isInteger('3');\n     * // => false\n     */\n    function isInteger(value) {\n      return typeof value == 'number' && value == toInteger(value);\n    }\n\n    /**\n     * Checks if `value` is a valid array-like length.\n     *\n     * **Note:** This method is loosely based on\n     * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a valid length, else `false`.\n     * @example\n     *\n     * _.isLength(3);\n     * // => true\n     *\n     * _.isLength(Number.MIN_VALUE);\n     * // => false\n     *\n     * _.isLength(Infinity);\n     * // => false\n     *\n     * _.isLength('3');\n     * // => false\n     */\n    function isLength(value) {\n      return typeof value == 'number' &&\n        value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER;\n    }\n\n    /**\n     * Checks if `value` is the\n     * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types)\n     * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`)\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is an object, else `false`.\n     * @example\n     *\n     * _.isObject({});\n     * // => true\n     *\n     * _.isObject([1, 2, 3]);\n     * // => true\n     *\n     * _.isObject(_.noop);\n     * // => true\n     *\n     * _.isObject(null);\n     * // => false\n     */\n    function isObject(value) {\n      var type = typeof value;\n      return value != null && (type == 'object' || type == 'function');\n    }\n\n    /**\n     * Checks if `value` is object-like. A value is object-like if it's not `null`\n     * and has a `typeof` result of \"object\".\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is object-like, else `false`.\n     * @example\n     *\n     * _.isObjectLike({});\n     * // => true\n     *\n     * _.isObjectLike([1, 2, 3]);\n     * // => true\n     *\n     * _.isObjectLike(_.noop);\n     * // => false\n     *\n     * _.isObjectLike(null);\n     * // => false\n     */\n    function isObjectLike(value) {\n      return value != null && typeof value == 'object';\n    }\n\n    /**\n     * Checks if `value` is classified as a `Map` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.3.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a map, else `false`.\n     * @example\n     *\n     * _.isMap(new Map);\n     * // => true\n     *\n     * _.isMap(new WeakMap);\n     * // => false\n     */\n    var isMap = nodeIsMap ? baseUnary(nodeIsMap) : baseIsMap;\n\n    /**\n     * Performs a partial deep comparison between `object` and `source` to\n     * determine if `object` contains equivalent property values.\n     *\n     * **Note:** This method is equivalent to `_.matches` when `source` is\n     * partially applied.\n     *\n     * Partial comparisons will match empty array and empty object `source`\n     * values against any array or object value, respectively. See `_.isEqual`\n     * for a list of supported value comparisons.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Lang\n     * @param {Object} object The object to inspect.\n     * @param {Object} source The object of property values to match.\n     * @returns {boolean} Returns `true` if `object` is a match, else `false`.\n     * @example\n     *\n     * var object = { 'a': 1, 'b': 2 };\n     *\n     * _.isMatch(object, { 'b': 2 });\n     * // => true\n     *\n     * _.isMatch(object, { 'b': 1 });\n     * // => false\n     */\n    function isMatch(object, source) {\n      return object === source || baseIsMatch(object, source, getMatchData(source));\n    }\n\n    /**\n     * This method is like `_.isMatch` except that it accepts `customizer` which\n     * is invoked to compare values. If `customizer` returns `undefined`, comparisons\n     * are handled by the method instead. The `customizer` is invoked with five\n     * arguments: (objValue, srcValue, index|key, object, source).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {Object} object The object to inspect.\n     * @param {Object} source The object of property values to match.\n     * @param {Function} [customizer] The function to customize comparisons.\n     * @returns {boolean} Returns `true` if `object` is a match, else `false`.\n     * @example\n     *\n     * function isGreeting(value) {\n     *   return /^h(?:i|ello)$/.test(value);\n     * }\n     *\n     * function customizer(objValue, srcValue) {\n     *   if (isGreeting(objValue) && isGreeting(srcValue)) {\n     *     return true;\n     *   }\n     * }\n     *\n     * var object = { 'greeting': 'hello' };\n     * var source = { 'greeting': 'hi' };\n     *\n     * _.isMatchWith(object, source, customizer);\n     * // => true\n     */\n    function isMatchWith(object, source, customizer) {\n      customizer = typeof customizer == 'function' ? customizer : undefined;\n      return baseIsMatch(object, source, getMatchData(source), customizer);\n    }\n\n    /**\n     * Checks if `value` is `NaN`.\n     *\n     * **Note:** This method is based on\n     * [`Number.isNaN`](https://mdn.io/Number/isNaN) and is not the same as\n     * global [`isNaN`](https://mdn.io/isNaN) which returns `true` for\n     * `undefined` and other non-number values.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is `NaN`, else `false`.\n     * @example\n     *\n     * _.isNaN(NaN);\n     * // => true\n     *\n     * _.isNaN(new Number(NaN));\n     * // => true\n     *\n     * isNaN(undefined);\n     * // => true\n     *\n     * _.isNaN(undefined);\n     * // => false\n     */\n    function isNaN(value) {\n      // An `NaN` primitive is the only value that is not equal to itself.\n      // Perform the `toStringTag` check first to avoid errors with some\n      // ActiveX objects in IE.\n      return isNumber(value) && value != +value;\n    }\n\n    /**\n     * Checks if `value` is a pristine native function.\n     *\n     * **Note:** This method can't reliably detect native functions in the presence\n     * of the core-js package because core-js circumvents this kind of detection.\n     * Despite multiple requests, the core-js maintainer has made it clear: any\n     * attempt to fix the detection will be obstructed. As a result, we're left\n     * with little choice but to throw an error. Unfortunately, this also affects\n     * packages, like [babel-polyfill](https://www.npmjs.com/package/babel-polyfill),\n     * which rely on core-js.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a native function,\n     *  else `false`.\n     * @example\n     *\n     * _.isNative(Array.prototype.push);\n     * // => true\n     *\n     * _.isNative(_);\n     * // => false\n     */\n    function isNative(value) {\n      if (isMaskable(value)) {\n        throw new Error(CORE_ERROR_TEXT);\n      }\n      return baseIsNative(value);\n    }\n\n    /**\n     * Checks if `value` is `null`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is `null`, else `false`.\n     * @example\n     *\n     * _.isNull(null);\n     * // => true\n     *\n     * _.isNull(void 0);\n     * // => false\n     */\n    function isNull(value) {\n      return value === null;\n    }\n\n    /**\n     * Checks if `value` is `null` or `undefined`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is nullish, else `false`.\n     * @example\n     *\n     * _.isNil(null);\n     * // => true\n     *\n     * _.isNil(void 0);\n     * // => true\n     *\n     * _.isNil(NaN);\n     * // => false\n     */\n    function isNil(value) {\n      return value == null;\n    }\n\n    /**\n     * Checks if `value` is classified as a `Number` primitive or object.\n     *\n     * **Note:** To exclude `Infinity`, `-Infinity`, and `NaN`, which are\n     * classified as numbers, use the `_.isFinite` method.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a number, else `false`.\n     * @example\n     *\n     * _.isNumber(3);\n     * // => true\n     *\n     * _.isNumber(Number.MIN_VALUE);\n     * // => true\n     *\n     * _.isNumber(Infinity);\n     * // => true\n     *\n     * _.isNumber('3');\n     * // => false\n     */\n    function isNumber(value) {\n      return typeof value == 'number' ||\n        (isObjectLike(value) && baseGetTag(value) == numberTag);\n    }\n\n    /**\n     * Checks if `value` is a plain object, that is, an object created by the\n     * `Object` constructor or one with a `[[Prototype]]` of `null`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.8.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a plain object, else `false`.\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     * }\n     *\n     * _.isPlainObject(new Foo);\n     * // => false\n     *\n     * _.isPlainObject([1, 2, 3]);\n     * // => false\n     *\n     * _.isPlainObject({ 'x': 0, 'y': 0 });\n     * // => true\n     *\n     * _.isPlainObject(Object.create(null));\n     * // => true\n     */\n    function isPlainObject(value) {\n      if (!isObjectLike(value) || baseGetTag(value) != objectTag) {\n        return false;\n      }\n      var proto = getPrototype(value);\n      if (proto === null) {\n        return true;\n      }\n      var Ctor = hasOwnProperty.call(proto, 'constructor') && proto.constructor;\n      return typeof Ctor == 'function' && Ctor instanceof Ctor &&\n        funcToString.call(Ctor) == objectCtorString;\n    }\n\n    /**\n     * Checks if `value` is classified as a `RegExp` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.1.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a regexp, else `false`.\n     * @example\n     *\n     * _.isRegExp(/abc/);\n     * // => true\n     *\n     * _.isRegExp('/abc/');\n     * // => false\n     */\n    var isRegExp = nodeIsRegExp ? baseUnary(nodeIsRegExp) : baseIsRegExp;\n\n    /**\n     * Checks if `value` is a safe integer. An integer is safe if it's an IEEE-754\n     * double precision number which isn't the result of a rounded unsafe integer.\n     *\n     * **Note:** This method is based on\n     * [`Number.isSafeInteger`](https://mdn.io/Number/isSafeInteger).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a safe integer, else `false`.\n     * @example\n     *\n     * _.isSafeInteger(3);\n     * // => true\n     *\n     * _.isSafeInteger(Number.MIN_VALUE);\n     * // => false\n     *\n     * _.isSafeInteger(Infinity);\n     * // => false\n     *\n     * _.isSafeInteger('3');\n     * // => false\n     */\n    function isSafeInteger(value) {\n      return isInteger(value) && value >= -MAX_SAFE_INTEGER && value <= MAX_SAFE_INTEGER;\n    }\n\n    /**\n     * Checks if `value` is classified as a `Set` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.3.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a set, else `false`.\n     * @example\n     *\n     * _.isSet(new Set);\n     * // => true\n     *\n     * _.isSet(new WeakSet);\n     * // => false\n     */\n    var isSet = nodeIsSet ? baseUnary(nodeIsSet) : baseIsSet;\n\n    /**\n     * Checks if `value` is classified as a `String` primitive or object.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a string, else `false`.\n     * @example\n     *\n     * _.isString('abc');\n     * // => true\n     *\n     * _.isString(1);\n     * // => false\n     */\n    function isString(value) {\n      return typeof value == 'string' ||\n        (!isArray(value) && isObjectLike(value) && baseGetTag(value) == stringTag);\n    }\n\n    /**\n     * Checks if `value` is classified as a `Symbol` primitive or object.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a symbol, else `false`.\n     * @example\n     *\n     * _.isSymbol(Symbol.iterator);\n     * // => true\n     *\n     * _.isSymbol('abc');\n     * // => false\n     */\n    function isSymbol(value) {\n      return typeof value == 'symbol' ||\n        (isObjectLike(value) && baseGetTag(value) == symbolTag);\n    }\n\n    /**\n     * Checks if `value` is classified as a typed array.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a typed array, else `false`.\n     * @example\n     *\n     * _.isTypedArray(new Uint8Array);\n     * // => true\n     *\n     * _.isTypedArray([]);\n     * // => false\n     */\n    var isTypedArray = nodeIsTypedArray ? baseUnary(nodeIsTypedArray) : baseIsTypedArray;\n\n    /**\n     * Checks if `value` is `undefined`.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is `undefined`, else `false`.\n     * @example\n     *\n     * _.isUndefined(void 0);\n     * // => true\n     *\n     * _.isUndefined(null);\n     * // => false\n     */\n    function isUndefined(value) {\n      return value === undefined;\n    }\n\n    /**\n     * Checks if `value` is classified as a `WeakMap` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.3.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a weak map, else `false`.\n     * @example\n     *\n     * _.isWeakMap(new WeakMap);\n     * // => true\n     *\n     * _.isWeakMap(new Map);\n     * // => false\n     */\n    function isWeakMap(value) {\n      return isObjectLike(value) && getTag(value) == weakMapTag;\n    }\n\n    /**\n     * Checks if `value` is classified as a `WeakSet` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.3.0\n     * @category Lang\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is a weak set, else `false`.\n     * @example\n     *\n     * _.isWeakSet(new WeakSet);\n     * // => true\n     *\n     * _.isWeakSet(new Set);\n     * // => false\n     */\n    function isWeakSet(value) {\n      return isObjectLike(value) && baseGetTag(value) == weakSetTag;\n    }\n\n    /**\n     * Checks if `value` is less than `other`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.9.0\n     * @category Lang\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @returns {boolean} Returns `true` if `value` is less than `other`,\n     *  else `false`.\n     * @see _.gt\n     * @example\n     *\n     * _.lt(1, 3);\n     * // => true\n     *\n     * _.lt(3, 3);\n     * // => false\n     *\n     * _.lt(3, 1);\n     * // => false\n     */\n    var lt = createRelationalOperation(baseLt);\n\n    /**\n     * Checks if `value` is less than or equal to `other`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.9.0\n     * @category Lang\n     * @param {*} value The value to compare.\n     * @param {*} other The other value to compare.\n     * @returns {boolean} Returns `true` if `value` is less than or equal to\n     *  `other`, else `false`.\n     * @see _.gte\n     * @example\n     *\n     * _.lte(1, 3);\n     * // => true\n     *\n     * _.lte(3, 3);\n     * // => true\n     *\n     * _.lte(3, 1);\n     * // => false\n     */\n    var lte = createRelationalOperation(function(value, other) {\n      return value <= other;\n    });\n\n    /**\n     * Converts `value` to an array.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Lang\n     * @param {*} value The value to convert.\n     * @returns {Array} Returns the converted array.\n     * @example\n     *\n     * _.toArray({ 'a': 1, 'b': 2 });\n     * // => [1, 2]\n     *\n     * _.toArray('abc');\n     * // => ['a', 'b', 'c']\n     *\n     * _.toArray(1);\n     * // => []\n     *\n     * _.toArray(null);\n     * // => []\n     */\n    function toArray(value) {\n      if (!value) {\n        return [];\n      }\n      if (isArrayLike(value)) {\n        return isString(value) ? stringToArray(value) : copyArray(value);\n      }\n      if (symIterator && value[symIterator]) {\n        return iteratorToArray(value[symIterator]());\n      }\n      var tag = getTag(value),\n          func = tag == mapTag ? mapToArray : (tag == setTag ? setToArray : values);\n\n      return func(value);\n    }\n\n    /**\n     * Converts `value` to a finite number.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.12.0\n     * @category Lang\n     * @param {*} value The value to convert.\n     * @returns {number} Returns the converted number.\n     * @example\n     *\n     * _.toFinite(3.2);\n     * // => 3.2\n     *\n     * _.toFinite(Number.MIN_VALUE);\n     * // => 5e-324\n     *\n     * _.toFinite(Infinity);\n     * // => 1.7976931348623157e+308\n     *\n     * _.toFinite('3.2');\n     * // => 3.2\n     */\n    function toFinite(value) {\n      if (!value) {\n        return value === 0 ? value : 0;\n      }\n      value = toNumber(value);\n      if (value === INFINITY || value === -INFINITY) {\n        var sign = (value < 0 ? -1 : 1);\n        return sign * MAX_INTEGER;\n      }\n      return value === value ? value : 0;\n    }\n\n    /**\n     * Converts `value` to an integer.\n     *\n     * **Note:** This method is loosely based on\n     * [`ToInteger`](http://www.ecma-international.org/ecma-262/7.0/#sec-tointeger).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to convert.\n     * @returns {number} Returns the converted integer.\n     * @example\n     *\n     * _.toInteger(3.2);\n     * // => 3\n     *\n     * _.toInteger(Number.MIN_VALUE);\n     * // => 0\n     *\n     * _.toInteger(Infinity);\n     * // => 1.7976931348623157e+308\n     *\n     * _.toInteger('3.2');\n     * // => 3\n     */\n    function toInteger(value) {\n      var result = toFinite(value),\n          remainder = result % 1;\n\n      return result === result ? (remainder ? result - remainder : result) : 0;\n    }\n\n    /**\n     * Converts `value` to an integer suitable for use as the length of an\n     * array-like object.\n     *\n     * **Note:** This method is based on\n     * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to convert.\n     * @returns {number} Returns the converted integer.\n     * @example\n     *\n     * _.toLength(3.2);\n     * // => 3\n     *\n     * _.toLength(Number.MIN_VALUE);\n     * // => 0\n     *\n     * _.toLength(Infinity);\n     * // => 4294967295\n     *\n     * _.toLength('3.2');\n     * // => 3\n     */\n    function toLength(value) {\n      return value ? baseClamp(toInteger(value), 0, MAX_ARRAY_LENGTH) : 0;\n    }\n\n    /**\n     * Converts `value` to a number.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to process.\n     * @returns {number} Returns the number.\n     * @example\n     *\n     * _.toNumber(3.2);\n     * // => 3.2\n     *\n     * _.toNumber(Number.MIN_VALUE);\n     * // => 5e-324\n     *\n     * _.toNumber(Infinity);\n     * // => Infinity\n     *\n     * _.toNumber('3.2');\n     * // => 3.2\n     */\n    function toNumber(value) {\n      if (typeof value == 'number') {\n        return value;\n      }\n      if (isSymbol(value)) {\n        return NAN;\n      }\n      if (isObject(value)) {\n        var other = typeof value.valueOf == 'function' ? value.valueOf() : value;\n        value = isObject(other) ? (other + '') : other;\n      }\n      if (typeof value != 'string') {\n        return value === 0 ? value : +value;\n      }\n      value = baseTrim(value);\n      var isBinary = reIsBinary.test(value);\n      return (isBinary || reIsOctal.test(value))\n        ? freeParseInt(value.slice(2), isBinary ? 2 : 8)\n        : (reIsBadHex.test(value) ? NAN : +value);\n    }\n\n    /**\n     * Converts `value` to a plain object flattening inherited enumerable string\n     * keyed properties of `value` to own properties of the plain object.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Lang\n     * @param {*} value The value to convert.\n     * @returns {Object} Returns the converted plain object.\n     * @example\n     *\n     * function Foo() {\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.assign({ 'a': 1 }, new Foo);\n     * // => { 'a': 1, 'b': 2 }\n     *\n     * _.assign({ 'a': 1 }, _.toPlainObject(new Foo));\n     * // => { 'a': 1, 'b': 2, 'c': 3 }\n     */\n    function toPlainObject(value) {\n      return copyObject(value, keysIn(value));\n    }\n\n    /**\n     * Converts `value` to a safe integer. A safe integer can be compared and\n     * represented correctly.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to convert.\n     * @returns {number} Returns the converted integer.\n     * @example\n     *\n     * _.toSafeInteger(3.2);\n     * // => 3\n     *\n     * _.toSafeInteger(Number.MIN_VALUE);\n     * // => 0\n     *\n     * _.toSafeInteger(Infinity);\n     * // => 9007199254740991\n     *\n     * _.toSafeInteger('3.2');\n     * // => 3\n     */\n    function toSafeInteger(value) {\n      return value\n        ? baseClamp(toInteger(value), -MAX_SAFE_INTEGER, MAX_SAFE_INTEGER)\n        : (value === 0 ? value : 0);\n    }\n\n    /**\n     * Converts `value` to a string. An empty string is returned for `null`\n     * and `undefined` values. The sign of `-0` is preserved.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Lang\n     * @param {*} value The value to convert.\n     * @returns {string} Returns the converted string.\n     * @example\n     *\n     * _.toString(null);\n     * // => ''\n     *\n     * _.toString(-0);\n     * // => '-0'\n     *\n     * _.toString([1, 2, 3]);\n     * // => '1,2,3'\n     */\n    function toString(value) {\n      return value == null ? '' : baseToString(value);\n    }\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Assigns own enumerable string keyed properties of source objects to the\n     * destination object. Source objects are applied from left to right.\n     * Subsequent sources overwrite property assignments of previous sources.\n     *\n     * **Note:** This method mutates `object` and is loosely based on\n     * [`Object.assign`](https://mdn.io/Object/assign).\n     *\n     * @static\n     * @memberOf _\n     * @since 0.10.0\n     * @category Object\n     * @param {Object} object The destination object.\n     * @param {...Object} [sources] The source objects.\n     * @returns {Object} Returns `object`.\n     * @see _.assignIn\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     * }\n     *\n     * function Bar() {\n     *   this.c = 3;\n     * }\n     *\n     * Foo.prototype.b = 2;\n     * Bar.prototype.d = 4;\n     *\n     * _.assign({ 'a': 0 }, new Foo, new Bar);\n     * // => { 'a': 1, 'c': 3 }\n     */\n    var assign = createAssigner(function(object, source) {\n      if (isPrototype(source) || isArrayLike(source)) {\n        copyObject(source, keys(source), object);\n        return;\n      }\n      for (var key in source) {\n        if (hasOwnProperty.call(source, key)) {\n          assignValue(object, key, source[key]);\n        }\n      }\n    });\n\n    /**\n     * This method is like `_.assign` except that it iterates over own and\n     * inherited source properties.\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @alias extend\n     * @category Object\n     * @param {Object} object The destination object.\n     * @param {...Object} [sources] The source objects.\n     * @returns {Object} Returns `object`.\n     * @see _.assign\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     * }\n     *\n     * function Bar() {\n     *   this.c = 3;\n     * }\n     *\n     * Foo.prototype.b = 2;\n     * Bar.prototype.d = 4;\n     *\n     * _.assignIn({ 'a': 0 }, new Foo, new Bar);\n     * // => { 'a': 1, 'b': 2, 'c': 3, 'd': 4 }\n     */\n    var assignIn = createAssigner(function(object, source) {\n      copyObject(source, keysIn(source), object);\n    });\n\n    /**\n     * This method is like `_.assignIn` except that it accepts `customizer`\n     * which is invoked to produce the assigned values. If `customizer` returns\n     * `undefined`, assignment is handled by the method instead. The `customizer`\n     * is invoked with five arguments: (objValue, srcValue, key, object, source).\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @alias extendWith\n     * @category Object\n     * @param {Object} object The destination object.\n     * @param {...Object} sources The source objects.\n     * @param {Function} [customizer] The function to customize assigned values.\n     * @returns {Object} Returns `object`.\n     * @see _.assignWith\n     * @example\n     *\n     * function customizer(objValue, srcValue) {\n     *   return _.isUndefined(objValue) ? srcValue : objValue;\n     * }\n     *\n     * var defaults = _.partialRight(_.assignInWith, customizer);\n     *\n     * defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 });\n     * // => { 'a': 1, 'b': 2 }\n     */\n    var assignInWith = createAssigner(function(object, source, srcIndex, customizer) {\n      copyObject(source, keysIn(source), object, customizer);\n    });\n\n    /**\n     * This method is like `_.assign` except that it accepts `customizer`\n     * which is invoked to produce the assigned values. If `customizer` returns\n     * `undefined`, assignment is handled by the method instead. The `customizer`\n     * is invoked with five arguments: (objValue, srcValue, key, object, source).\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Object\n     * @param {Object} object The destination object.\n     * @param {...Object} sources The source objects.\n     * @param {Function} [customizer] The function to customize assigned values.\n     * @returns {Object} Returns `object`.\n     * @see _.assignInWith\n     * @example\n     *\n     * function customizer(objValue, srcValue) {\n     *   return _.isUndefined(objValue) ? srcValue : objValue;\n     * }\n     *\n     * var defaults = _.partialRight(_.assignWith, customizer);\n     *\n     * defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 });\n     * // => { 'a': 1, 'b': 2 }\n     */\n    var assignWith = createAssigner(function(object, source, srcIndex, customizer) {\n      copyObject(source, keys(source), object, customizer);\n    });\n\n    /**\n     * Creates an array of values corresponding to `paths` of `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 1.0.0\n     * @category Object\n     * @param {Object} object The object to iterate over.\n     * @param {...(string|string[])} [paths] The property paths to pick.\n     * @returns {Array} Returns the picked values.\n     * @example\n     *\n     * var object = { 'a': [{ 'b': { 'c': 3 } }, 4] };\n     *\n     * _.at(object, ['a[0].b.c', 'a[1]']);\n     * // => [3, 4]\n     */\n    var at = flatRest(baseAt);\n\n    /**\n     * Creates an object that inherits from the `prototype` object. If a\n     * `properties` object is given, its own enumerable string keyed properties\n     * are assigned to the created object.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.3.0\n     * @category Object\n     * @param {Object} prototype The object to inherit from.\n     * @param {Object} [properties] The properties to assign to the object.\n     * @returns {Object} Returns the new object.\n     * @example\n     *\n     * function Shape() {\n     *   this.x = 0;\n     *   this.y = 0;\n     * }\n     *\n     * function Circle() {\n     *   Shape.call(this);\n     * }\n     *\n     * Circle.prototype = _.create(Shape.prototype, {\n     *   'constructor': Circle\n     * });\n     *\n     * var circle = new Circle;\n     * circle instanceof Circle;\n     * // => true\n     *\n     * circle instanceof Shape;\n     * // => true\n     */\n    function create(prototype, properties) {\n      var result = baseCreate(prototype);\n      return properties == null ? result : baseAssign(result, properties);\n    }\n\n    /**\n     * Assigns own and inherited enumerable string keyed properties of source\n     * objects to the destination object for all destination properties that\n     * resolve to `undefined`. Source objects are applied from left to right.\n     * Once a property is set, additional values of the same property are ignored.\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Object\n     * @param {Object} object The destination object.\n     * @param {...Object} [sources] The source objects.\n     * @returns {Object} Returns `object`.\n     * @see _.defaultsDeep\n     * @example\n     *\n     * _.defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 });\n     * // => { 'a': 1, 'b': 2 }\n     */\n    var defaults = baseRest(function(object, sources) {\n      object = Object(object);\n\n      var index = -1;\n      var length = sources.length;\n      var guard = length > 2 ? sources[2] : undefined;\n\n      if (guard && isIterateeCall(sources[0], sources[1], guard)) {\n        length = 1;\n      }\n\n      while (++index < length) {\n        var source = sources[index];\n        var props = keysIn(source);\n        var propsIndex = -1;\n        var propsLength = props.length;\n\n        while (++propsIndex < propsLength) {\n          var key = props[propsIndex];\n          var value = object[key];\n\n          if (value === undefined ||\n              (eq(value, objectProto[key]) && !hasOwnProperty.call(object, key))) {\n            object[key] = source[key];\n          }\n        }\n      }\n\n      return object;\n    });\n\n    /**\n     * This method is like `_.defaults` except that it recursively assigns\n     * default properties.\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.10.0\n     * @category Object\n     * @param {Object} object The destination object.\n     * @param {...Object} [sources] The source objects.\n     * @returns {Object} Returns `object`.\n     * @see _.defaults\n     * @example\n     *\n     * _.defaultsDeep({ 'a': { 'b': 2 } }, { 'a': { 'b': 1, 'c': 3 } });\n     * // => { 'a': { 'b': 2, 'c': 3 } }\n     */\n    var defaultsDeep = baseRest(function(args) {\n      args.push(undefined, customDefaultsMerge);\n      return apply(mergeWith, undefined, args);\n    });\n\n    /**\n     * This method is like `_.find` except that it returns the key of the first\n     * element `predicate` returns truthy for instead of the element itself.\n     *\n     * @static\n     * @memberOf _\n     * @since 1.1.0\n     * @category Object\n     * @param {Object} object The object to inspect.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @returns {string|undefined} Returns the key of the matched element,\n     *  else `undefined`.\n     * @example\n     *\n     * var users = {\n     *   'barney':  { 'age': 36, 'active': true },\n     *   'fred':    { 'age': 40, 'active': false },\n     *   'pebbles': { 'age': 1,  'active': true }\n     * };\n     *\n     * _.findKey(users, function(o) { return o.age < 40; });\n     * // => 'barney' (iteration order is not guaranteed)\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.findKey(users, { 'age': 1, 'active': true });\n     * // => 'pebbles'\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.findKey(users, ['active', false]);\n     * // => 'fred'\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.findKey(users, 'active');\n     * // => 'barney'\n     */\n    function findKey(object, predicate) {\n      return baseFindKey(object, getIteratee(predicate, 3), baseForOwn);\n    }\n\n    /**\n     * This method is like `_.findKey` except that it iterates over elements of\n     * a collection in the opposite order.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.0.0\n     * @category Object\n     * @param {Object} object The object to inspect.\n     * @param {Function} [predicate=_.identity] The function invoked per iteration.\n     * @returns {string|undefined} Returns the key of the matched element,\n     *  else `undefined`.\n     * @example\n     *\n     * var users = {\n     *   'barney':  { 'age': 36, 'active': true },\n     *   'fred':    { 'age': 40, 'active': false },\n     *   'pebbles': { 'age': 1,  'active': true }\n     * };\n     *\n     * _.findLastKey(users, function(o) { return o.age < 40; });\n     * // => returns 'pebbles' assuming `_.findKey` returns 'barney'\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.findLastKey(users, { 'age': 36, 'active': true });\n     * // => 'barney'\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.findLastKey(users, ['active', false]);\n     * // => 'fred'\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.findLastKey(users, 'active');\n     * // => 'pebbles'\n     */\n    function findLastKey(object, predicate) {\n      return baseFindKey(object, getIteratee(predicate, 3), baseForOwnRight);\n    }\n\n    /**\n     * Iterates over own and inherited enumerable string keyed properties of an\n     * object and invokes `iteratee` for each property. The iteratee is invoked\n     * with three arguments: (value, key, object). Iteratee functions may exit\n     * iteration early by explicitly returning `false`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.3.0\n     * @category Object\n     * @param {Object} object The object to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Object} Returns `object`.\n     * @see _.forInRight\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.forIn(new Foo, function(value, key) {\n     *   console.log(key);\n     * });\n     * // => Logs 'a', 'b', then 'c' (iteration order is not guaranteed).\n     */\n    function forIn(object, iteratee) {\n      return object == null\n        ? object\n        : baseFor(object, getIteratee(iteratee, 3), keysIn);\n    }\n\n    /**\n     * This method is like `_.forIn` except that it iterates over properties of\n     * `object` in the opposite order.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.0.0\n     * @category Object\n     * @param {Object} object The object to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Object} Returns `object`.\n     * @see _.forIn\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.forInRight(new Foo, function(value, key) {\n     *   console.log(key);\n     * });\n     * // => Logs 'c', 'b', then 'a' assuming `_.forIn` logs 'a', 'b', then 'c'.\n     */\n    function forInRight(object, iteratee) {\n      return object == null\n        ? object\n        : baseForRight(object, getIteratee(iteratee, 3), keysIn);\n    }\n\n    /**\n     * Iterates over own enumerable string keyed properties of an object and\n     * invokes `iteratee` for each property. The iteratee is invoked with three\n     * arguments: (value, key, object). Iteratee functions may exit iteration\n     * early by explicitly returning `false`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.3.0\n     * @category Object\n     * @param {Object} object The object to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Object} Returns `object`.\n     * @see _.forOwnRight\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.forOwn(new Foo, function(value, key) {\n     *   console.log(key);\n     * });\n     * // => Logs 'a' then 'b' (iteration order is not guaranteed).\n     */\n    function forOwn(object, iteratee) {\n      return object && baseForOwn(object, getIteratee(iteratee, 3));\n    }\n\n    /**\n     * This method is like `_.forOwn` except that it iterates over properties of\n     * `object` in the opposite order.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.0.0\n     * @category Object\n     * @param {Object} object The object to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Object} Returns `object`.\n     * @see _.forOwn\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.forOwnRight(new Foo, function(value, key) {\n     *   console.log(key);\n     * });\n     * // => Logs 'b' then 'a' assuming `_.forOwn` logs 'a' then 'b'.\n     */\n    function forOwnRight(object, iteratee) {\n      return object && baseForOwnRight(object, getIteratee(iteratee, 3));\n    }\n\n    /**\n     * Creates an array of function property names from own enumerable properties\n     * of `object`.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Object\n     * @param {Object} object The object to inspect.\n     * @returns {Array} Returns the function names.\n     * @see _.functionsIn\n     * @example\n     *\n     * function Foo() {\n     *   this.a = _.constant('a');\n     *   this.b = _.constant('b');\n     * }\n     *\n     * Foo.prototype.c = _.constant('c');\n     *\n     * _.functions(new Foo);\n     * // => ['a', 'b']\n     */\n    function functions(object) {\n      return object == null ? [] : baseFunctions(object, keys(object));\n    }\n\n    /**\n     * Creates an array of function property names from own and inherited\n     * enumerable properties of `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Object\n     * @param {Object} object The object to inspect.\n     * @returns {Array} Returns the function names.\n     * @see _.functions\n     * @example\n     *\n     * function Foo() {\n     *   this.a = _.constant('a');\n     *   this.b = _.constant('b');\n     * }\n     *\n     * Foo.prototype.c = _.constant('c');\n     *\n     * _.functionsIn(new Foo);\n     * // => ['a', 'b', 'c']\n     */\n    function functionsIn(object) {\n      return object == null ? [] : baseFunctions(object, keysIn(object));\n    }\n\n    /**\n     * Gets the value at `path` of `object`. If the resolved value is\n     * `undefined`, the `defaultValue` is returned in its place.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.7.0\n     * @category Object\n     * @param {Object} object The object to query.\n     * @param {Array|string} path The path of the property to get.\n     * @param {*} [defaultValue] The value returned for `undefined` resolved values.\n     * @returns {*} Returns the resolved value.\n     * @example\n     *\n     * var object = { 'a': [{ 'b': { 'c': 3 } }] };\n     *\n     * _.get(object, 'a[0].b.c');\n     * // => 3\n     *\n     * _.get(object, ['a', '0', 'b', 'c']);\n     * // => 3\n     *\n     * _.get(object, 'a.b.c', 'default');\n     * // => 'default'\n     */\n    function get(object, path, defaultValue) {\n      var result = object == null ? undefined : baseGet(object, path);\n      return result === undefined ? defaultValue : result;\n    }\n\n    /**\n     * Checks if `path` is a direct property of `object`.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Object\n     * @param {Object} object The object to query.\n     * @param {Array|string} path The path to check.\n     * @returns {boolean} Returns `true` if `path` exists, else `false`.\n     * @example\n     *\n     * var object = { 'a': { 'b': 2 } };\n     * var other = _.create({ 'a': _.create({ 'b': 2 }) });\n     *\n     * _.has(object, 'a');\n     * // => true\n     *\n     * _.has(object, 'a.b');\n     * // => true\n     *\n     * _.has(object, ['a', 'b']);\n     * // => true\n     *\n     * _.has(other, 'a');\n     * // => false\n     */\n    function has(object, path) {\n      return object != null && hasPath(object, path, baseHas);\n    }\n\n    /**\n     * Checks if `path` is a direct or inherited property of `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Object\n     * @param {Object} object The object to query.\n     * @param {Array|string} path The path to check.\n     * @returns {boolean} Returns `true` if `path` exists, else `false`.\n     * @example\n     *\n     * var object = _.create({ 'a': _.create({ 'b': 2 }) });\n     *\n     * _.hasIn(object, 'a');\n     * // => true\n     *\n     * _.hasIn(object, 'a.b');\n     * // => true\n     *\n     * _.hasIn(object, ['a', 'b']);\n     * // => true\n     *\n     * _.hasIn(object, 'b');\n     * // => false\n     */\n    function hasIn(object, path) {\n      return object != null && hasPath(object, path, baseHasIn);\n    }\n\n    /**\n     * Creates an object composed of the inverted keys and values of `object`.\n     * If `object` contains duplicate values, subsequent values overwrite\n     * property assignments of previous values.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.7.0\n     * @category Object\n     * @param {Object} object The object to invert.\n     * @returns {Object} Returns the new inverted object.\n     * @example\n     *\n     * var object = { 'a': 1, 'b': 2, 'c': 1 };\n     *\n     * _.invert(object);\n     * // => { '1': 'c', '2': 'b' }\n     */\n    var invert = createInverter(function(result, value, key) {\n      if (value != null &&\n          typeof value.toString != 'function') {\n        value = nativeObjectToString.call(value);\n      }\n\n      result[value] = key;\n    }, constant(identity));\n\n    /**\n     * This method is like `_.invert` except that the inverted object is generated\n     * from the results of running each element of `object` thru `iteratee`. The\n     * corresponding inverted value of each inverted key is an array of keys\n     * responsible for generating the inverted value. The iteratee is invoked\n     * with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.1.0\n     * @category Object\n     * @param {Object} object The object to invert.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {Object} Returns the new inverted object.\n     * @example\n     *\n     * var object = { 'a': 1, 'b': 2, 'c': 1 };\n     *\n     * _.invertBy(object);\n     * // => { '1': ['a', 'c'], '2': ['b'] }\n     *\n     * _.invertBy(object, function(value) {\n     *   return 'group' + value;\n     * });\n     * // => { 'group1': ['a', 'c'], 'group2': ['b'] }\n     */\n    var invertBy = createInverter(function(result, value, key) {\n      if (value != null &&\n          typeof value.toString != 'function') {\n        value = nativeObjectToString.call(value);\n      }\n\n      if (hasOwnProperty.call(result, value)) {\n        result[value].push(key);\n      } else {\n        result[value] = [key];\n      }\n    }, getIteratee);\n\n    /**\n     * Invokes the method at `path` of `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Object\n     * @param {Object} object The object to query.\n     * @param {Array|string} path The path of the method to invoke.\n     * @param {...*} [args] The arguments to invoke the method with.\n     * @returns {*} Returns the result of the invoked method.\n     * @example\n     *\n     * var object = { 'a': [{ 'b': { 'c': [1, 2, 3, 4] } }] };\n     *\n     * _.invoke(object, 'a[0].b.c.slice', 1, 3);\n     * // => [2, 3]\n     */\n    var invoke = baseRest(baseInvoke);\n\n    /**\n     * Creates an array of the own enumerable property names of `object`.\n     *\n     * **Note:** Non-object values are coerced to objects. See the\n     * [ES spec](http://ecma-international.org/ecma-262/7.0/#sec-object.keys)\n     * for more details.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Object\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of property names.\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.keys(new Foo);\n     * // => ['a', 'b'] (iteration order is not guaranteed)\n     *\n     * _.keys('hi');\n     * // => ['0', '1']\n     */\n    function keys(object) {\n      return isArrayLike(object) ? arrayLikeKeys(object) : baseKeys(object);\n    }\n\n    /**\n     * Creates an array of the own and inherited enumerable property names of `object`.\n     *\n     * **Note:** Non-object values are coerced to objects.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Object\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of property names.\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.keysIn(new Foo);\n     * // => ['a', 'b', 'c'] (iteration order is not guaranteed)\n     */\n    function keysIn(object) {\n      return isArrayLike(object) ? arrayLikeKeys(object, true) : baseKeysIn(object);\n    }\n\n    /**\n     * The opposite of `_.mapValues`; this method creates an object with the\n     * same values as `object` and keys generated by running each own enumerable\n     * string keyed property of `object` thru `iteratee`. The iteratee is invoked\n     * with three arguments: (value, key, object).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.8.0\n     * @category Object\n     * @param {Object} object The object to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Object} Returns the new mapped object.\n     * @see _.mapValues\n     * @example\n     *\n     * _.mapKeys({ 'a': 1, 'b': 2 }, function(value, key) {\n     *   return key + value;\n     * });\n     * // => { 'a1': 1, 'b2': 2 }\n     */\n    function mapKeys(object, iteratee) {\n      var result = {};\n      iteratee = getIteratee(iteratee, 3);\n\n      baseForOwn(object, function(value, key, object) {\n        baseAssignValue(result, iteratee(value, key, object), value);\n      });\n      return result;\n    }\n\n    /**\n     * Creates an object with the same keys as `object` and values generated\n     * by running each own enumerable string keyed property of `object` thru\n     * `iteratee`. The iteratee is invoked with three arguments:\n     * (value, key, object).\n     *\n     * @static\n     * @memberOf _\n     * @since 2.4.0\n     * @category Object\n     * @param {Object} object The object to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Object} Returns the new mapped object.\n     * @see _.mapKeys\n     * @example\n     *\n     * var users = {\n     *   'fred':    { 'user': 'fred',    'age': 40 },\n     *   'pebbles': { 'user': 'pebbles', 'age': 1 }\n     * };\n     *\n     * _.mapValues(users, function(o) { return o.age; });\n     * // => { 'fred': 40, 'pebbles': 1 } (iteration order is not guaranteed)\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.mapValues(users, 'age');\n     * // => { 'fred': 40, 'pebbles': 1 } (iteration order is not guaranteed)\n     */\n    function mapValues(object, iteratee) {\n      var result = {};\n      iteratee = getIteratee(iteratee, 3);\n\n      baseForOwn(object, function(value, key, object) {\n        baseAssignValue(result, key, iteratee(value, key, object));\n      });\n      return result;\n    }\n\n    /**\n     * This method is like `_.assign` except that it recursively merges own and\n     * inherited enumerable string keyed properties of source objects into the\n     * destination object. Source properties that resolve to `undefined` are\n     * skipped if a destination value exists. Array and plain object properties\n     * are merged recursively. Other objects and value types are overridden by\n     * assignment. Source objects are applied from left to right. Subsequent\n     * sources overwrite property assignments of previous sources.\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.5.0\n     * @category Object\n     * @param {Object} object The destination object.\n     * @param {...Object} [sources] The source objects.\n     * @returns {Object} Returns `object`.\n     * @example\n     *\n     * var object = {\n     *   'a': [{ 'b': 2 }, { 'd': 4 }]\n     * };\n     *\n     * var other = {\n     *   'a': [{ 'c': 3 }, { 'e': 5 }]\n     * };\n     *\n     * _.merge(object, other);\n     * // => { 'a': [{ 'b': 2, 'c': 3 }, { 'd': 4, 'e': 5 }] }\n     */\n    var merge = createAssigner(function(object, source, srcIndex) {\n      baseMerge(object, source, srcIndex);\n    });\n\n    /**\n     * This method is like `_.merge` except that it accepts `customizer` which\n     * is invoked to produce the merged values of the destination and source\n     * properties. If `customizer` returns `undefined`, merging is handled by the\n     * method instead. The `customizer` is invoked with six arguments:\n     * (objValue, srcValue, key, object, source, stack).\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Object\n     * @param {Object} object The destination object.\n     * @param {...Object} sources The source objects.\n     * @param {Function} customizer The function to customize assigned values.\n     * @returns {Object} Returns `object`.\n     * @example\n     *\n     * function customizer(objValue, srcValue) {\n     *   if (_.isArray(objValue)) {\n     *     return objValue.concat(srcValue);\n     *   }\n     * }\n     *\n     * var object = { 'a': [1], 'b': [2] };\n     * var other = { 'a': [3], 'b': [4] };\n     *\n     * _.mergeWith(object, other, customizer);\n     * // => { 'a': [1, 3], 'b': [2, 4] }\n     */\n    var mergeWith = createAssigner(function(object, source, srcIndex, customizer) {\n      baseMerge(object, source, srcIndex, customizer);\n    });\n\n    /**\n     * The opposite of `_.pick`; this method creates an object composed of the\n     * own and inherited enumerable property paths of `object` that are not omitted.\n     *\n     * **Note:** This method is considerably slower than `_.pick`.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Object\n     * @param {Object} object The source object.\n     * @param {...(string|string[])} [paths] The property paths to omit.\n     * @returns {Object} Returns the new object.\n     * @example\n     *\n     * var object = { 'a': 1, 'b': '2', 'c': 3 };\n     *\n     * _.omit(object, ['a', 'c']);\n     * // => { 'b': '2' }\n     */\n    var omit = flatRest(function(object, paths) {\n      var result = {};\n      if (object == null) {\n        return result;\n      }\n      var isDeep = false;\n      paths = arrayMap(paths, function(path) {\n        path = castPath(path, object);\n        isDeep || (isDeep = path.length > 1);\n        return path;\n      });\n      copyObject(object, getAllKeysIn(object), result);\n      if (isDeep) {\n        result = baseClone(result, CLONE_DEEP_FLAG | CLONE_FLAT_FLAG | CLONE_SYMBOLS_FLAG, customOmitClone);\n      }\n      var length = paths.length;\n      while (length--) {\n        baseUnset(result, paths[length]);\n      }\n      return result;\n    });\n\n    /**\n     * The opposite of `_.pickBy`; this method creates an object composed of\n     * the own and inherited enumerable string keyed properties of `object` that\n     * `predicate` doesn't return truthy for. The predicate is invoked with two\n     * arguments: (value, key).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Object\n     * @param {Object} object The source object.\n     * @param {Function} [predicate=_.identity] The function invoked per property.\n     * @returns {Object} Returns the new object.\n     * @example\n     *\n     * var object = { 'a': 1, 'b': '2', 'c': 3 };\n     *\n     * _.omitBy(object, _.isNumber);\n     * // => { 'b': '2' }\n     */\n    function omitBy(object, predicate) {\n      return pickBy(object, negate(getIteratee(predicate)));\n    }\n\n    /**\n     * Creates an object composed of the picked `object` properties.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Object\n     * @param {Object} object The source object.\n     * @param {...(string|string[])} [paths] The property paths to pick.\n     * @returns {Object} Returns the new object.\n     * @example\n     *\n     * var object = { 'a': 1, 'b': '2', 'c': 3 };\n     *\n     * _.pick(object, ['a', 'c']);\n     * // => { 'a': 1, 'c': 3 }\n     */\n    var pick = flatRest(function(object, paths) {\n      return object == null ? {} : basePick(object, paths);\n    });\n\n    /**\n     * Creates an object composed of the `object` properties `predicate` returns\n     * truthy for. The predicate is invoked with two arguments: (value, key).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Object\n     * @param {Object} object The source object.\n     * @param {Function} [predicate=_.identity] The function invoked per property.\n     * @returns {Object} Returns the new object.\n     * @example\n     *\n     * var object = { 'a': 1, 'b': '2', 'c': 3 };\n     *\n     * _.pickBy(object, _.isNumber);\n     * // => { 'a': 1, 'c': 3 }\n     */\n    function pickBy(object, predicate) {\n      if (object == null) {\n        return {};\n      }\n      var props = arrayMap(getAllKeysIn(object), function(prop) {\n        return [prop];\n      });\n      predicate = getIteratee(predicate);\n      return basePickBy(object, props, function(value, path) {\n        return predicate(value, path[0]);\n      });\n    }\n\n    /**\n     * This method is like `_.get` except that if the resolved value is a\n     * function it's invoked with the `this` binding of its parent object and\n     * its result is returned.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Object\n     * @param {Object} object The object to query.\n     * @param {Array|string} path The path of the property to resolve.\n     * @param {*} [defaultValue] The value returned for `undefined` resolved values.\n     * @returns {*} Returns the resolved value.\n     * @example\n     *\n     * var object = { 'a': [{ 'b': { 'c1': 3, 'c2': _.constant(4) } }] };\n     *\n     * _.result(object, 'a[0].b.c1');\n     * // => 3\n     *\n     * _.result(object, 'a[0].b.c2');\n     * // => 4\n     *\n     * _.result(object, 'a[0].b.c3', 'default');\n     * // => 'default'\n     *\n     * _.result(object, 'a[0].b.c3', _.constant('default'));\n     * // => 'default'\n     */\n    function result(object, path, defaultValue) {\n      path = castPath(path, object);\n\n      var index = -1,\n          length = path.length;\n\n      // Ensure the loop is entered when path is empty.\n      if (!length) {\n        length = 1;\n        object = undefined;\n      }\n      while (++index < length) {\n        var value = object == null ? undefined : object[toKey(path[index])];\n        if (value === undefined) {\n          index = length;\n          value = defaultValue;\n        }\n        object = isFunction(value) ? value.call(object) : value;\n      }\n      return object;\n    }\n\n    /**\n     * Sets the value at `path` of `object`. If a portion of `path` doesn't exist,\n     * it's created. Arrays are created for missing index properties while objects\n     * are created for all other missing properties. Use `_.setWith` to customize\n     * `path` creation.\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.7.0\n     * @category Object\n     * @param {Object} object The object to modify.\n     * @param {Array|string} path The path of the property to set.\n     * @param {*} value The value to set.\n     * @returns {Object} Returns `object`.\n     * @example\n     *\n     * var object = { 'a': [{ 'b': { 'c': 3 } }] };\n     *\n     * _.set(object, 'a[0].b.c', 4);\n     * console.log(object.a[0].b.c);\n     * // => 4\n     *\n     * _.set(object, ['x', '0', 'y', 'z'], 5);\n     * console.log(object.x[0].y.z);\n     * // => 5\n     */\n    function set(object, path, value) {\n      return object == null ? object : baseSet(object, path, value);\n    }\n\n    /**\n     * This method is like `_.set` except that it accepts `customizer` which is\n     * invoked to produce the objects of `path`.  If `customizer` returns `undefined`\n     * path creation is handled by the method instead. The `customizer` is invoked\n     * with three arguments: (nsValue, key, nsObject).\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Object\n     * @param {Object} object The object to modify.\n     * @param {Array|string} path The path of the property to set.\n     * @param {*} value The value to set.\n     * @param {Function} [customizer] The function to customize assigned values.\n     * @returns {Object} Returns `object`.\n     * @example\n     *\n     * var object = {};\n     *\n     * _.setWith(object, '[0][1]', 'a', Object);\n     * // => { '0': { '1': 'a' } }\n     */\n    function setWith(object, path, value, customizer) {\n      customizer = typeof customizer == 'function' ? customizer : undefined;\n      return object == null ? object : baseSet(object, path, value, customizer);\n    }\n\n    /**\n     * Creates an array of own enumerable string keyed-value pairs for `object`\n     * which can be consumed by `_.fromPairs`. If `object` is a map or set, its\n     * entries are returned.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @alias entries\n     * @category Object\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the key-value pairs.\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.toPairs(new Foo);\n     * // => [['a', 1], ['b', 2]] (iteration order is not guaranteed)\n     */\n    var toPairs = createToPairs(keys);\n\n    /**\n     * Creates an array of own and inherited enumerable string keyed-value pairs\n     * for `object` which can be consumed by `_.fromPairs`. If `object` is a map\n     * or set, its entries are returned.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @alias entriesIn\n     * @category Object\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the key-value pairs.\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.toPairsIn(new Foo);\n     * // => [['a', 1], ['b', 2], ['c', 3]] (iteration order is not guaranteed)\n     */\n    var toPairsIn = createToPairs(keysIn);\n\n    /**\n     * An alternative to `_.reduce`; this method transforms `object` to a new\n     * `accumulator` object which is the result of running each of its own\n     * enumerable string keyed properties thru `iteratee`, with each invocation\n     * potentially mutating the `accumulator` object. If `accumulator` is not\n     * provided, a new object with the same `[[Prototype]]` will be used. The\n     * iteratee is invoked with four arguments: (accumulator, value, key, object).\n     * Iteratee functions may exit iteration early by explicitly returning `false`.\n     *\n     * @static\n     * @memberOf _\n     * @since 1.3.0\n     * @category Object\n     * @param {Object} object The object to iterate over.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @param {*} [accumulator] The custom accumulator value.\n     * @returns {*} Returns the accumulated value.\n     * @example\n     *\n     * _.transform([2, 3, 4], function(result, n) {\n     *   result.push(n *= n);\n     *   return n % 2 == 0;\n     * }, []);\n     * // => [4, 9]\n     *\n     * _.transform({ 'a': 1, 'b': 2, 'c': 1 }, function(result, value, key) {\n     *   (result[value] || (result[value] = [])).push(key);\n     * }, {});\n     * // => { '1': ['a', 'c'], '2': ['b'] }\n     */\n    function transform(object, iteratee, accumulator) {\n      var isArr = isArray(object),\n          isArrLike = isArr || isBuffer(object) || isTypedArray(object);\n\n      iteratee = getIteratee(iteratee, 4);\n      if (accumulator == null) {\n        var Ctor = object && object.constructor;\n        if (isArrLike) {\n          accumulator = isArr ? new Ctor : [];\n        }\n        else if (isObject(object)) {\n          accumulator = isFunction(Ctor) ? baseCreate(getPrototype(object)) : {};\n        }\n        else {\n          accumulator = {};\n        }\n      }\n      (isArrLike ? arrayEach : baseForOwn)(object, function(value, index, object) {\n        return iteratee(accumulator, value, index, object);\n      });\n      return accumulator;\n    }\n\n    /**\n     * Removes the property at `path` of `object`.\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Object\n     * @param {Object} object The object to modify.\n     * @param {Array|string} path The path of the property to unset.\n     * @returns {boolean} Returns `true` if the property is deleted, else `false`.\n     * @example\n     *\n     * var object = { 'a': [{ 'b': { 'c': 7 } }] };\n     * _.unset(object, 'a[0].b.c');\n     * // => true\n     *\n     * console.log(object);\n     * // => { 'a': [{ 'b': {} }] };\n     *\n     * _.unset(object, ['a', '0', 'b', 'c']);\n     * // => true\n     *\n     * console.log(object);\n     * // => { 'a': [{ 'b': {} }] };\n     */\n    function unset(object, path) {\n      return object == null ? true : baseUnset(object, path);\n    }\n\n    /**\n     * This method is like `_.set` except that accepts `updater` to produce the\n     * value to set. Use `_.updateWith` to customize `path` creation. The `updater`\n     * is invoked with one argument: (value).\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.6.0\n     * @category Object\n     * @param {Object} object The object to modify.\n     * @param {Array|string} path The path of the property to set.\n     * @param {Function} updater The function to produce the updated value.\n     * @returns {Object} Returns `object`.\n     * @example\n     *\n     * var object = { 'a': [{ 'b': { 'c': 3 } }] };\n     *\n     * _.update(object, 'a[0].b.c', function(n) { return n * n; });\n     * console.log(object.a[0].b.c);\n     * // => 9\n     *\n     * _.update(object, 'x[0].y.z', function(n) { return n ? n + 1 : 0; });\n     * console.log(object.x[0].y.z);\n     * // => 0\n     */\n    function update(object, path, updater) {\n      return object == null ? object : baseUpdate(object, path, castFunction(updater));\n    }\n\n    /**\n     * This method is like `_.update` except that it accepts `customizer` which is\n     * invoked to produce the objects of `path`.  If `customizer` returns `undefined`\n     * path creation is handled by the method instead. The `customizer` is invoked\n     * with three arguments: (nsValue, key, nsObject).\n     *\n     * **Note:** This method mutates `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.6.0\n     * @category Object\n     * @param {Object} object The object to modify.\n     * @param {Array|string} path The path of the property to set.\n     * @param {Function} updater The function to produce the updated value.\n     * @param {Function} [customizer] The function to customize assigned values.\n     * @returns {Object} Returns `object`.\n     * @example\n     *\n     * var object = {};\n     *\n     * _.updateWith(object, '[0][1]', _.constant('a'), Object);\n     * // => { '0': { '1': 'a' } }\n     */\n    function updateWith(object, path, updater, customizer) {\n      customizer = typeof customizer == 'function' ? customizer : undefined;\n      return object == null ? object : baseUpdate(object, path, castFunction(updater), customizer);\n    }\n\n    /**\n     * Creates an array of the own enumerable string keyed property values of `object`.\n     *\n     * **Note:** Non-object values are coerced to objects.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Object\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of property values.\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.values(new Foo);\n     * // => [1, 2] (iteration order is not guaranteed)\n     *\n     * _.values('hi');\n     * // => ['h', 'i']\n     */\n    function values(object) {\n      return object == null ? [] : baseValues(object, keys(object));\n    }\n\n    /**\n     * Creates an array of the own and inherited enumerable string keyed property\n     * values of `object`.\n     *\n     * **Note:** Non-object values are coerced to objects.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Object\n     * @param {Object} object The object to query.\n     * @returns {Array} Returns the array of property values.\n     * @example\n     *\n     * function Foo() {\n     *   this.a = 1;\n     *   this.b = 2;\n     * }\n     *\n     * Foo.prototype.c = 3;\n     *\n     * _.valuesIn(new Foo);\n     * // => [1, 2, 3] (iteration order is not guaranteed)\n     */\n    function valuesIn(object) {\n      return object == null ? [] : baseValues(object, keysIn(object));\n    }\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Clamps `number` within the inclusive `lower` and `upper` bounds.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Number\n     * @param {number} number The number to clamp.\n     * @param {number} [lower] The lower bound.\n     * @param {number} upper The upper bound.\n     * @returns {number} Returns the clamped number.\n     * @example\n     *\n     * _.clamp(-10, -5, 5);\n     * // => -5\n     *\n     * _.clamp(10, -5, 5);\n     * // => 5\n     */\n    function clamp(number, lower, upper) {\n      if (upper === undefined) {\n        upper = lower;\n        lower = undefined;\n      }\n      if (upper !== undefined) {\n        upper = toNumber(upper);\n        upper = upper === upper ? upper : 0;\n      }\n      if (lower !== undefined) {\n        lower = toNumber(lower);\n        lower = lower === lower ? lower : 0;\n      }\n      return baseClamp(toNumber(number), lower, upper);\n    }\n\n    /**\n     * Checks if `n` is between `start` and up to, but not including, `end`. If\n     * `end` is not specified, it's set to `start` with `start` then set to `0`.\n     * If `start` is greater than `end` the params are swapped to support\n     * negative ranges.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.3.0\n     * @category Number\n     * @param {number} number The number to check.\n     * @param {number} [start=0] The start of the range.\n     * @param {number} end The end of the range.\n     * @returns {boolean} Returns `true` if `number` is in the range, else `false`.\n     * @see _.range, _.rangeRight\n     * @example\n     *\n     * _.inRange(3, 2, 4);\n     * // => true\n     *\n     * _.inRange(4, 8);\n     * // => true\n     *\n     * _.inRange(4, 2);\n     * // => false\n     *\n     * _.inRange(2, 2);\n     * // => false\n     *\n     * _.inRange(1.2, 2);\n     * // => true\n     *\n     * _.inRange(5.2, 4);\n     * // => false\n     *\n     * _.inRange(-3, -2, -6);\n     * // => true\n     */\n    function inRange(number, start, end) {\n      start = toFinite(start);\n      if (end === undefined) {\n        end = start;\n        start = 0;\n      } else {\n        end = toFinite(end);\n      }\n      number = toNumber(number);\n      return baseInRange(number, start, end);\n    }\n\n    /**\n     * Produces a random number between the inclusive `lower` and `upper` bounds.\n     * If only one argument is provided a number between `0` and the given number\n     * is returned. If `floating` is `true`, or either `lower` or `upper` are\n     * floats, a floating-point number is returned instead of an integer.\n     *\n     * **Note:** JavaScript follows the IEEE-754 standard for resolving\n     * floating-point values which can produce unexpected results.\n     *\n     * @static\n     * @memberOf _\n     * @since 0.7.0\n     * @category Number\n     * @param {number} [lower=0] The lower bound.\n     * @param {number} [upper=1] The upper bound.\n     * @param {boolean} [floating] Specify returning a floating-point number.\n     * @returns {number} Returns the random number.\n     * @example\n     *\n     * _.random(0, 5);\n     * // => an integer between 0 and 5\n     *\n     * _.random(5);\n     * // => also an integer between 0 and 5\n     *\n     * _.random(5, true);\n     * // => a floating-point number between 0 and 5\n     *\n     * _.random(1.2, 5.2);\n     * // => a floating-point number between 1.2 and 5.2\n     */\n    function random(lower, upper, floating) {\n      if (floating && typeof floating != 'boolean' && isIterateeCall(lower, upper, floating)) {\n        upper = floating = undefined;\n      }\n      if (floating === undefined) {\n        if (typeof upper == 'boolean') {\n          floating = upper;\n          upper = undefined;\n        }\n        else if (typeof lower == 'boolean') {\n          floating = lower;\n          lower = undefined;\n        }\n      }\n      if (lower === undefined && upper === undefined) {\n        lower = 0;\n        upper = 1;\n      }\n      else {\n        lower = toFinite(lower);\n        if (upper === undefined) {\n          upper = lower;\n          lower = 0;\n        } else {\n          upper = toFinite(upper);\n        }\n      }\n      if (lower > upper) {\n        var temp = lower;\n        lower = upper;\n        upper = temp;\n      }\n      if (floating || lower % 1 || upper % 1) {\n        var rand = nativeRandom();\n        return nativeMin(lower + (rand * (upper - lower + freeParseFloat('1e-' + ((rand + '').length - 1)))), upper);\n      }\n      return baseRandom(lower, upper);\n    }\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Converts `string` to [camel case](https://en.wikipedia.org/wiki/CamelCase).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to convert.\n     * @returns {string} Returns the camel cased string.\n     * @example\n     *\n     * _.camelCase('Foo Bar');\n     * // => 'fooBar'\n     *\n     * _.camelCase('--foo-bar--');\n     * // => 'fooBar'\n     *\n     * _.camelCase('__FOO_BAR__');\n     * // => 'fooBar'\n     */\n    var camelCase = createCompounder(function(result, word, index) {\n      word = word.toLowerCase();\n      return result + (index ? capitalize(word) : word);\n    });\n\n    /**\n     * Converts the first character of `string` to upper case and the remaining\n     * to lower case.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to capitalize.\n     * @returns {string} Returns the capitalized string.\n     * @example\n     *\n     * _.capitalize('FRED');\n     * // => 'Fred'\n     */\n    function capitalize(string) {\n      return upperFirst(toString(string).toLowerCase());\n    }\n\n    /**\n     * Deburrs `string` by converting\n     * [Latin-1 Supplement](https://en.wikipedia.org/wiki/Latin-1_Supplement_(Unicode_block)#Character_table)\n     * and [Latin Extended-A](https://en.wikipedia.org/wiki/Latin_Extended-A)\n     * letters to basic Latin letters and removing\n     * [combining diacritical marks](https://en.wikipedia.org/wiki/Combining_Diacritical_Marks).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to deburr.\n     * @returns {string} Returns the deburred string.\n     * @example\n     *\n     * _.deburr('déjà vu');\n     * // => 'deja vu'\n     */\n    function deburr(string) {\n      string = toString(string);\n      return string && string.replace(reLatin, deburrLetter).replace(reComboMark, '');\n    }\n\n    /**\n     * Checks if `string` ends with the given target string.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to inspect.\n     * @param {string} [target] The string to search for.\n     * @param {number} [position=string.length] The position to search up to.\n     * @returns {boolean} Returns `true` if `string` ends with `target`,\n     *  else `false`.\n     * @example\n     *\n     * _.endsWith('abc', 'c');\n     * // => true\n     *\n     * _.endsWith('abc', 'b');\n     * // => false\n     *\n     * _.endsWith('abc', 'b', 2);\n     * // => true\n     */\n    function endsWith(string, target, position) {\n      string = toString(string);\n      target = baseToString(target);\n\n      var length = string.length;\n      position = position === undefined\n        ? length\n        : baseClamp(toInteger(position), 0, length);\n\n      var end = position;\n      position -= target.length;\n      return position >= 0 && string.slice(position, end) == target;\n    }\n\n    /**\n     * Converts the characters \"&\", \"<\", \">\", '\"', and \"'\" in `string` to their\n     * corresponding HTML entities.\n     *\n     * **Note:** No other characters are escaped. To escape additional\n     * characters use a third-party library like [_he_](https://mths.be/he).\n     *\n     * Though the \">\" character is escaped for symmetry, characters like\n     * \">\" and \"/\" don't need escaping in HTML and have no special meaning\n     * unless they're part of a tag or unquoted attribute value. See\n     * [Mathias Bynens's article](https://mathiasbynens.be/notes/ambiguous-ampersands)\n     * (under \"semi-related fun fact\") for more details.\n     *\n     * When working with HTML you should always\n     * [quote attribute values](http://wonko.com/post/html-escaping) to reduce\n     * XSS vectors.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category String\n     * @param {string} [string=''] The string to escape.\n     * @returns {string} Returns the escaped string.\n     * @example\n     *\n     * _.escape('fred, barney, & pebbles');\n     * // => 'fred, barney, &amp; pebbles'\n     */\n    function escape(string) {\n      string = toString(string);\n      return (string && reHasUnescapedHtml.test(string))\n        ? string.replace(reUnescapedHtml, escapeHtmlChar)\n        : string;\n    }\n\n    /**\n     * Escapes the `RegExp` special characters \"^\", \"$\", \"\\\", \".\", \"*\", \"+\",\n     * \"?\", \"(\", \")\", \"[\", \"]\", \"{\", \"}\", and \"|\" in `string`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to escape.\n     * @returns {string} Returns the escaped string.\n     * @example\n     *\n     * _.escapeRegExp('[lodash](https://lodash.com/)');\n     * // => '\\[lodash\\]\\(https://lodash\\.com/\\)'\n     */\n    function escapeRegExp(string) {\n      string = toString(string);\n      return (string && reHasRegExpChar.test(string))\n        ? string.replace(reRegExpChar, '\\\\$&')\n        : string;\n    }\n\n    /**\n     * Converts `string` to\n     * [kebab case](https://en.wikipedia.org/wiki/Letter_case#Special_case_styles).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to convert.\n     * @returns {string} Returns the kebab cased string.\n     * @example\n     *\n     * _.kebabCase('Foo Bar');\n     * // => 'foo-bar'\n     *\n     * _.kebabCase('fooBar');\n     * // => 'foo-bar'\n     *\n     * _.kebabCase('__FOO_BAR__');\n     * // => 'foo-bar'\n     */\n    var kebabCase = createCompounder(function(result, word, index) {\n      return result + (index ? '-' : '') + word.toLowerCase();\n    });\n\n    /**\n     * Converts `string`, as space separated words, to lower case.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to convert.\n     * @returns {string} Returns the lower cased string.\n     * @example\n     *\n     * _.lowerCase('--Foo-Bar--');\n     * // => 'foo bar'\n     *\n     * _.lowerCase('fooBar');\n     * // => 'foo bar'\n     *\n     * _.lowerCase('__FOO_BAR__');\n     * // => 'foo bar'\n     */\n    var lowerCase = createCompounder(function(result, word, index) {\n      return result + (index ? ' ' : '') + word.toLowerCase();\n    });\n\n    /**\n     * Converts the first character of `string` to lower case.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to convert.\n     * @returns {string} Returns the converted string.\n     * @example\n     *\n     * _.lowerFirst('Fred');\n     * // => 'fred'\n     *\n     * _.lowerFirst('FRED');\n     * // => 'fRED'\n     */\n    var lowerFirst = createCaseFirst('toLowerCase');\n\n    /**\n     * Pads `string` on the left and right sides if it's shorter than `length`.\n     * Padding characters are truncated if they can't be evenly divided by `length`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to pad.\n     * @param {number} [length=0] The padding length.\n     * @param {string} [chars=' '] The string used as padding.\n     * @returns {string} Returns the padded string.\n     * @example\n     *\n     * _.pad('abc', 8);\n     * // => '  abc   '\n     *\n     * _.pad('abc', 8, '_-');\n     * // => '_-abc_-_'\n     *\n     * _.pad('abc', 3);\n     * // => 'abc'\n     */\n    function pad(string, length, chars) {\n      string = toString(string);\n      length = toInteger(length);\n\n      var strLength = length ? stringSize(string) : 0;\n      if (!length || strLength >= length) {\n        return string;\n      }\n      var mid = (length - strLength) / 2;\n      return (\n        createPadding(nativeFloor(mid), chars) +\n        string +\n        createPadding(nativeCeil(mid), chars)\n      );\n    }\n\n    /**\n     * Pads `string` on the right side if it's shorter than `length`. Padding\n     * characters are truncated if they exceed `length`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to pad.\n     * @param {number} [length=0] The padding length.\n     * @param {string} [chars=' '] The string used as padding.\n     * @returns {string} Returns the padded string.\n     * @example\n     *\n     * _.padEnd('abc', 6);\n     * // => 'abc   '\n     *\n     * _.padEnd('abc', 6, '_-');\n     * // => 'abc_-_'\n     *\n     * _.padEnd('abc', 3);\n     * // => 'abc'\n     */\n    function padEnd(string, length, chars) {\n      string = toString(string);\n      length = toInteger(length);\n\n      var strLength = length ? stringSize(string) : 0;\n      return (length && strLength < length)\n        ? (string + createPadding(length - strLength, chars))\n        : string;\n    }\n\n    /**\n     * Pads `string` on the left side if it's shorter than `length`. Padding\n     * characters are truncated if they exceed `length`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to pad.\n     * @param {number} [length=0] The padding length.\n     * @param {string} [chars=' '] The string used as padding.\n     * @returns {string} Returns the padded string.\n     * @example\n     *\n     * _.padStart('abc', 6);\n     * // => '   abc'\n     *\n     * _.padStart('abc', 6, '_-');\n     * // => '_-_abc'\n     *\n     * _.padStart('abc', 3);\n     * // => 'abc'\n     */\n    function padStart(string, length, chars) {\n      string = toString(string);\n      length = toInteger(length);\n\n      var strLength = length ? stringSize(string) : 0;\n      return (length && strLength < length)\n        ? (createPadding(length - strLength, chars) + string)\n        : string;\n    }\n\n    /**\n     * Converts `string` to an integer of the specified radix. If `radix` is\n     * `undefined` or `0`, a `radix` of `10` is used unless `value` is a\n     * hexadecimal, in which case a `radix` of `16` is used.\n     *\n     * **Note:** This method aligns with the\n     * [ES5 implementation](https://es5.github.io/#x15.1.2.2) of `parseInt`.\n     *\n     * @static\n     * @memberOf _\n     * @since 1.1.0\n     * @category String\n     * @param {string} string The string to convert.\n     * @param {number} [radix=10] The radix to interpret `value` by.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {number} Returns the converted integer.\n     * @example\n     *\n     * _.parseInt('08');\n     * // => 8\n     *\n     * _.map(['6', '08', '10'], _.parseInt);\n     * // => [6, 8, 10]\n     */\n    function parseInt(string, radix, guard) {\n      if (guard || radix == null) {\n        radix = 0;\n      } else if (radix) {\n        radix = +radix;\n      }\n      return nativeParseInt(toString(string).replace(reTrimStart, ''), radix || 0);\n    }\n\n    /**\n     * Repeats the given string `n` times.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to repeat.\n     * @param {number} [n=1] The number of times to repeat the string.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {string} Returns the repeated string.\n     * @example\n     *\n     * _.repeat('*', 3);\n     * // => '***'\n     *\n     * _.repeat('abc', 2);\n     * // => 'abcabc'\n     *\n     * _.repeat('abc', 0);\n     * // => ''\n     */\n    function repeat(string, n, guard) {\n      if ((guard ? isIterateeCall(string, n, guard) : n === undefined)) {\n        n = 1;\n      } else {\n        n = toInteger(n);\n      }\n      return baseRepeat(toString(string), n);\n    }\n\n    /**\n     * Replaces matches for `pattern` in `string` with `replacement`.\n     *\n     * **Note:** This method is based on\n     * [`String#replace`](https://mdn.io/String/replace).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to modify.\n     * @param {RegExp|string} pattern The pattern to replace.\n     * @param {Function|string} replacement The match replacement.\n     * @returns {string} Returns the modified string.\n     * @example\n     *\n     * _.replace('Hi Fred', 'Fred', 'Barney');\n     * // => 'Hi Barney'\n     */\n    function replace() {\n      var args = arguments,\n          string = toString(args[0]);\n\n      return args.length < 3 ? string : string.replace(args[1], args[2]);\n    }\n\n    /**\n     * Converts `string` to\n     * [snake case](https://en.wikipedia.org/wiki/Snake_case).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to convert.\n     * @returns {string} Returns the snake cased string.\n     * @example\n     *\n     * _.snakeCase('Foo Bar');\n     * // => 'foo_bar'\n     *\n     * _.snakeCase('fooBar');\n     * // => 'foo_bar'\n     *\n     * _.snakeCase('--FOO-BAR--');\n     * // => 'foo_bar'\n     */\n    var snakeCase = createCompounder(function(result, word, index) {\n      return result + (index ? '_' : '') + word.toLowerCase();\n    });\n\n    /**\n     * Splits `string` by `separator`.\n     *\n     * **Note:** This method is based on\n     * [`String#split`](https://mdn.io/String/split).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to split.\n     * @param {RegExp|string} separator The separator pattern to split by.\n     * @param {number} [limit] The length to truncate results to.\n     * @returns {Array} Returns the string segments.\n     * @example\n     *\n     * _.split('a-b-c', '-', 2);\n     * // => ['a', 'b']\n     */\n    function split(string, separator, limit) {\n      if (limit && typeof limit != 'number' && isIterateeCall(string, separator, limit)) {\n        separator = limit = undefined;\n      }\n      limit = limit === undefined ? MAX_ARRAY_LENGTH : limit >>> 0;\n      if (!limit) {\n        return [];\n      }\n      string = toString(string);\n      if (string && (\n            typeof separator == 'string' ||\n            (separator != null && !isRegExp(separator))\n          )) {\n        separator = baseToString(separator);\n        if (!separator && hasUnicode(string)) {\n          return castSlice(stringToArray(string), 0, limit);\n        }\n      }\n      return string.split(separator, limit);\n    }\n\n    /**\n     * Converts `string` to\n     * [start case](https://en.wikipedia.org/wiki/Letter_case#Stylistic_or_specialised_usage).\n     *\n     * @static\n     * @memberOf _\n     * @since 3.1.0\n     * @category String\n     * @param {string} [string=''] The string to convert.\n     * @returns {string} Returns the start cased string.\n     * @example\n     *\n     * _.startCase('--foo-bar--');\n     * // => 'Foo Bar'\n     *\n     * _.startCase('fooBar');\n     * // => 'Foo Bar'\n     *\n     * _.startCase('__FOO_BAR__');\n     * // => 'FOO BAR'\n     */\n    var startCase = createCompounder(function(result, word, index) {\n      return result + (index ? ' ' : '') + upperFirst(word);\n    });\n\n    /**\n     * Checks if `string` starts with the given target string.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to inspect.\n     * @param {string} [target] The string to search for.\n     * @param {number} [position=0] The position to search from.\n     * @returns {boolean} Returns `true` if `string` starts with `target`,\n     *  else `false`.\n     * @example\n     *\n     * _.startsWith('abc', 'a');\n     * // => true\n     *\n     * _.startsWith('abc', 'b');\n     * // => false\n     *\n     * _.startsWith('abc', 'b', 1);\n     * // => true\n     */\n    function startsWith(string, target, position) {\n      string = toString(string);\n      position = position == null\n        ? 0\n        : baseClamp(toInteger(position), 0, string.length);\n\n      target = baseToString(target);\n      return string.slice(position, position + target.length) == target;\n    }\n\n    /**\n     * Creates a compiled template function that can interpolate data properties\n     * in \"interpolate\" delimiters, HTML-escape interpolated data properties in\n     * \"escape\" delimiters, and execute JavaScript in \"evaluate\" delimiters. Data\n     * properties may be accessed as free variables in the template. If a setting\n     * object is given, it takes precedence over `_.templateSettings` values.\n     *\n     * **Note:** In the development build `_.template` utilizes\n     * [sourceURLs](http://www.html5rocks.com/en/tutorials/developertools/sourcemaps/#toc-sourceurl)\n     * for easier debugging.\n     *\n     * For more information on precompiling templates see\n     * [lodash's custom builds documentation](https://lodash.com/custom-builds).\n     *\n     * For more information on Chrome extension sandboxes see\n     * [Chrome's extensions documentation](https://developer.chrome.com/extensions/sandboxingEval).\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category String\n     * @param {string} [string=''] The template string.\n     * @param {Object} [options={}] The options object.\n     * @param {RegExp} [options.escape=_.templateSettings.escape]\n     *  The HTML \"escape\" delimiter.\n     * @param {RegExp} [options.evaluate=_.templateSettings.evaluate]\n     *  The \"evaluate\" delimiter.\n     * @param {Object} [options.imports=_.templateSettings.imports]\n     *  An object to import into the template as free variables.\n     * @param {RegExp} [options.interpolate=_.templateSettings.interpolate]\n     *  The \"interpolate\" delimiter.\n     * @param {string} [options.sourceURL='lodash.templateSources[n]']\n     *  The sourceURL of the compiled template.\n     * @param {string} [options.variable='obj']\n     *  The data object variable name.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Function} Returns the compiled template function.\n     * @example\n     *\n     * // Use the \"interpolate\" delimiter to create a compiled template.\n     * var compiled = _.template('hello <%= user %>!');\n     * compiled({ 'user': 'fred' });\n     * // => 'hello fred!'\n     *\n     * // Use the HTML \"escape\" delimiter to escape data property values.\n     * var compiled = _.template('<b><%- value %></b>');\n     * compiled({ 'value': '<script>' });\n     * // => '<b>&lt;script&gt;</b>'\n     *\n     * // Use the \"evaluate\" delimiter to execute JavaScript and generate HTML.\n     * var compiled = _.template('<% _.forEach(users, function(user) { %><li><%- user %></li><% }); %>');\n     * compiled({ 'users': ['fred', 'barney'] });\n     * // => '<li>fred</li><li>barney</li>'\n     *\n     * // Use the internal `print` function in \"evaluate\" delimiters.\n     * var compiled = _.template('<% print(\"hello \" + user); %>!');\n     * compiled({ 'user': 'barney' });\n     * // => 'hello barney!'\n     *\n     * // Use the ES template literal delimiter as an \"interpolate\" delimiter.\n     * // Disable support by replacing the \"interpolate\" delimiter.\n     * var compiled = _.template('hello ${ user }!');\n     * compiled({ 'user': 'pebbles' });\n     * // => 'hello pebbles!'\n     *\n     * // Use backslashes to treat delimiters as plain text.\n     * var compiled = _.template('<%= \"\\\\<%- value %\\\\>\" %>');\n     * compiled({ 'value': 'ignored' });\n     * // => '<%- value %>'\n     *\n     * // Use the `imports` option to import `jQuery` as `jq`.\n     * var text = '<% jq.each(users, function(user) { %><li><%- user %></li><% }); %>';\n     * var compiled = _.template(text, { 'imports': { 'jq': jQuery } });\n     * compiled({ 'users': ['fred', 'barney'] });\n     * // => '<li>fred</li><li>barney</li>'\n     *\n     * // Use the `sourceURL` option to specify a custom sourceURL for the template.\n     * var compiled = _.template('hello <%= user %>!', { 'sourceURL': '/basic/greeting.jst' });\n     * compiled(data);\n     * // => Find the source of \"greeting.jst\" under the Sources tab or Resources panel of the web inspector.\n     *\n     * // Use the `variable` option to ensure a with-statement isn't used in the compiled template.\n     * var compiled = _.template('hi <%= data.user %>!', { 'variable': 'data' });\n     * compiled.source;\n     * // => function(data) {\n     * //   var __t, __p = '';\n     * //   __p += 'hi ' + ((__t = ( data.user )) == null ? '' : __t) + '!';\n     * //   return __p;\n     * // }\n     *\n     * // Use custom template delimiters.\n     * _.templateSettings.interpolate = /{{([\\s\\S]+?)}}/g;\n     * var compiled = _.template('hello {{ user }}!');\n     * compiled({ 'user': 'mustache' });\n     * // => 'hello mustache!'\n     *\n     * // Use the `source` property to inline compiled templates for meaningful\n     * // line numbers in error messages and stack traces.\n     * fs.writeFileSync(path.join(process.cwd(), 'jst.js'), '\\\n     *   var JST = {\\\n     *     \"main\": ' + _.template(mainText).source + '\\\n     *   };\\\n     * ');\n     */\n    function template(string, options, guard) {\n      // Based on John Resig's `tmpl` implementation\n      // (http://ejohn.org/blog/javascript-micro-templating/)\n      // and Laura Doktorova's doT.js (https://github.com/olado/doT).\n      var settings = lodash.templateSettings;\n\n      if (guard && isIterateeCall(string, options, guard)) {\n        options = undefined;\n      }\n      string = toString(string);\n      options = assignInWith({}, options, settings, customDefaultsAssignIn);\n\n      var imports = assignInWith({}, options.imports, settings.imports, customDefaultsAssignIn),\n          importsKeys = keys(imports),\n          importsValues = baseValues(imports, importsKeys);\n\n      var isEscaping,\n          isEvaluating,\n          index = 0,\n          interpolate = options.interpolate || reNoMatch,\n          source = \"__p += '\";\n\n      // Compile the regexp to match each delimiter.\n      var reDelimiters = RegExp(\n        (options.escape || reNoMatch).source + '|' +\n        interpolate.source + '|' +\n        (interpolate === reInterpolate ? reEsTemplate : reNoMatch).source + '|' +\n        (options.evaluate || reNoMatch).source + '|$'\n      , 'g');\n\n      // Use a sourceURL for easier debugging.\n      // The sourceURL gets injected into the source that's eval-ed, so be careful\n      // to normalize all kinds of whitespace, so e.g. newlines (and unicode versions of it) can't sneak in\n      // and escape the comment, thus injecting code that gets evaled.\n      var sourceURL = '//# sourceURL=' +\n        (hasOwnProperty.call(options, 'sourceURL')\n          ? (options.sourceURL + '').replace(/\\s/g, ' ')\n          : ('lodash.templateSources[' + (++templateCounter) + ']')\n        ) + '\\n';\n\n      string.replace(reDelimiters, function(match, escapeValue, interpolateValue, esTemplateValue, evaluateValue, offset) {\n        interpolateValue || (interpolateValue = esTemplateValue);\n\n        // Escape characters that can't be included in string literals.\n        source += string.slice(index, offset).replace(reUnescapedString, escapeStringChar);\n\n        // Replace delimiters with snippets.\n        if (escapeValue) {\n          isEscaping = true;\n          source += \"' +\\n__e(\" + escapeValue + \") +\\n'\";\n        }\n        if (evaluateValue) {\n          isEvaluating = true;\n          source += \"';\\n\" + evaluateValue + \";\\n__p += '\";\n        }\n        if (interpolateValue) {\n          source += \"' +\\n((__t = (\" + interpolateValue + \")) == null ? '' : __t) +\\n'\";\n        }\n        index = offset + match.length;\n\n        // The JS engine embedded in Adobe products needs `match` returned in\n        // order to produce the correct `offset` value.\n        return match;\n      });\n\n      source += \"';\\n\";\n\n      // If `variable` is not specified wrap a with-statement around the generated\n      // code to add the data object to the top of the scope chain.\n      var variable = hasOwnProperty.call(options, 'variable') && options.variable;\n      if (!variable) {\n        source = 'with (obj) {\\n' + source + '\\n}\\n';\n      }\n      // Throw an error if a forbidden character was found in `variable`, to prevent\n      // potential command injection attacks.\n      else if (reForbiddenIdentifierChars.test(variable)) {\n        throw new Error(INVALID_TEMPL_VAR_ERROR_TEXT);\n      }\n\n      // Cleanup code by stripping empty strings.\n      source = (isEvaluating ? source.replace(reEmptyStringLeading, '') : source)\n        .replace(reEmptyStringMiddle, '$1')\n        .replace(reEmptyStringTrailing, '$1;');\n\n      // Frame code as the function body.\n      source = 'function(' + (variable || 'obj') + ') {\\n' +\n        (variable\n          ? ''\n          : 'obj || (obj = {});\\n'\n        ) +\n        \"var __t, __p = ''\" +\n        (isEscaping\n           ? ', __e = _.escape'\n           : ''\n        ) +\n        (isEvaluating\n          ? ', __j = Array.prototype.join;\\n' +\n            \"function print() { __p += __j.call(arguments, '') }\\n\"\n          : ';\\n'\n        ) +\n        source +\n        'return __p\\n}';\n\n      var result = attempt(function() {\n        return Function(importsKeys, sourceURL + 'return ' + source)\n          .apply(undefined, importsValues);\n      });\n\n      // Provide the compiled function's source by its `toString` method or\n      // the `source` property as a convenience for inlining compiled templates.\n      result.source = source;\n      if (isError(result)) {\n        throw result;\n      }\n      return result;\n    }\n\n    /**\n     * Converts `string`, as a whole, to lower case just like\n     * [String#toLowerCase](https://mdn.io/toLowerCase).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to convert.\n     * @returns {string} Returns the lower cased string.\n     * @example\n     *\n     * _.toLower('--Foo-Bar--');\n     * // => '--foo-bar--'\n     *\n     * _.toLower('fooBar');\n     * // => 'foobar'\n     *\n     * _.toLower('__FOO_BAR__');\n     * // => '__foo_bar__'\n     */\n    function toLower(value) {\n      return toString(value).toLowerCase();\n    }\n\n    /**\n     * Converts `string`, as a whole, to upper case just like\n     * [String#toUpperCase](https://mdn.io/toUpperCase).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to convert.\n     * @returns {string} Returns the upper cased string.\n     * @example\n     *\n     * _.toUpper('--foo-bar--');\n     * // => '--FOO-BAR--'\n     *\n     * _.toUpper('fooBar');\n     * // => 'FOOBAR'\n     *\n     * _.toUpper('__foo_bar__');\n     * // => '__FOO_BAR__'\n     */\n    function toUpper(value) {\n      return toString(value).toUpperCase();\n    }\n\n    /**\n     * Removes leading and trailing whitespace or specified characters from `string`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to trim.\n     * @param {string} [chars=whitespace] The characters to trim.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {string} Returns the trimmed string.\n     * @example\n     *\n     * _.trim('  abc  ');\n     * // => 'abc'\n     *\n     * _.trim('-_-abc-_-', '_-');\n     * // => 'abc'\n     *\n     * _.map(['  foo  ', '  bar  '], _.trim);\n     * // => ['foo', 'bar']\n     */\n    function trim(string, chars, guard) {\n      string = toString(string);\n      if (string && (guard || chars === undefined)) {\n        return baseTrim(string);\n      }\n      if (!string || !(chars = baseToString(chars))) {\n        return string;\n      }\n      var strSymbols = stringToArray(string),\n          chrSymbols = stringToArray(chars),\n          start = charsStartIndex(strSymbols, chrSymbols),\n          end = charsEndIndex(strSymbols, chrSymbols) + 1;\n\n      return castSlice(strSymbols, start, end).join('');\n    }\n\n    /**\n     * Removes trailing whitespace or specified characters from `string`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to trim.\n     * @param {string} [chars=whitespace] The characters to trim.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {string} Returns the trimmed string.\n     * @example\n     *\n     * _.trimEnd('  abc  ');\n     * // => '  abc'\n     *\n     * _.trimEnd('-_-abc-_-', '_-');\n     * // => '-_-abc'\n     */\n    function trimEnd(string, chars, guard) {\n      string = toString(string);\n      if (string && (guard || chars === undefined)) {\n        return string.slice(0, trimmedEndIndex(string) + 1);\n      }\n      if (!string || !(chars = baseToString(chars))) {\n        return string;\n      }\n      var strSymbols = stringToArray(string),\n          end = charsEndIndex(strSymbols, stringToArray(chars)) + 1;\n\n      return castSlice(strSymbols, 0, end).join('');\n    }\n\n    /**\n     * Removes leading whitespace or specified characters from `string`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to trim.\n     * @param {string} [chars=whitespace] The characters to trim.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {string} Returns the trimmed string.\n     * @example\n     *\n     * _.trimStart('  abc  ');\n     * // => 'abc  '\n     *\n     * _.trimStart('-_-abc-_-', '_-');\n     * // => 'abc-_-'\n     */\n    function trimStart(string, chars, guard) {\n      string = toString(string);\n      if (string && (guard || chars === undefined)) {\n        return string.replace(reTrimStart, '');\n      }\n      if (!string || !(chars = baseToString(chars))) {\n        return string;\n      }\n      var strSymbols = stringToArray(string),\n          start = charsStartIndex(strSymbols, stringToArray(chars));\n\n      return castSlice(strSymbols, start).join('');\n    }\n\n    /**\n     * Truncates `string` if it's longer than the given maximum string length.\n     * The last characters of the truncated string are replaced with the omission\n     * string which defaults to \"...\".\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to truncate.\n     * @param {Object} [options={}] The options object.\n     * @param {number} [options.length=30] The maximum string length.\n     * @param {string} [options.omission='...'] The string to indicate text is omitted.\n     * @param {RegExp|string} [options.separator] The separator pattern to truncate to.\n     * @returns {string} Returns the truncated string.\n     * @example\n     *\n     * _.truncate('hi-diddly-ho there, neighborino');\n     * // => 'hi-diddly-ho there, neighbo...'\n     *\n     * _.truncate('hi-diddly-ho there, neighborino', {\n     *   'length': 24,\n     *   'separator': ' '\n     * });\n     * // => 'hi-diddly-ho there,...'\n     *\n     * _.truncate('hi-diddly-ho there, neighborino', {\n     *   'length': 24,\n     *   'separator': /,? +/\n     * });\n     * // => 'hi-diddly-ho there...'\n     *\n     * _.truncate('hi-diddly-ho there, neighborino', {\n     *   'omission': ' [...]'\n     * });\n     * // => 'hi-diddly-ho there, neig [...]'\n     */\n    function truncate(string, options) {\n      var length = DEFAULT_TRUNC_LENGTH,\n          omission = DEFAULT_TRUNC_OMISSION;\n\n      if (isObject(options)) {\n        var separator = 'separator' in options ? options.separator : separator;\n        length = 'length' in options ? toInteger(options.length) : length;\n        omission = 'omission' in options ? baseToString(options.omission) : omission;\n      }\n      string = toString(string);\n\n      var strLength = string.length;\n      if (hasUnicode(string)) {\n        var strSymbols = stringToArray(string);\n        strLength = strSymbols.length;\n      }\n      if (length >= strLength) {\n        return string;\n      }\n      var end = length - stringSize(omission);\n      if (end < 1) {\n        return omission;\n      }\n      var result = strSymbols\n        ? castSlice(strSymbols, 0, end).join('')\n        : string.slice(0, end);\n\n      if (separator === undefined) {\n        return result + omission;\n      }\n      if (strSymbols) {\n        end += (result.length - end);\n      }\n      if (isRegExp(separator)) {\n        if (string.slice(end).search(separator)) {\n          var match,\n              substring = result;\n\n          if (!separator.global) {\n            separator = RegExp(separator.source, toString(reFlags.exec(separator)) + 'g');\n          }\n          separator.lastIndex = 0;\n          while ((match = separator.exec(substring))) {\n            var newEnd = match.index;\n          }\n          result = result.slice(0, newEnd === undefined ? end : newEnd);\n        }\n      } else if (string.indexOf(baseToString(separator), end) != end) {\n        var index = result.lastIndexOf(separator);\n        if (index > -1) {\n          result = result.slice(0, index);\n        }\n      }\n      return result + omission;\n    }\n\n    /**\n     * The inverse of `_.escape`; this method converts the HTML entities\n     * `&amp;`, `&lt;`, `&gt;`, `&quot;`, and `&#39;` in `string` to\n     * their corresponding characters.\n     *\n     * **Note:** No other HTML entities are unescaped. To unescape additional\n     * HTML entities use a third-party library like [_he_](https://mths.be/he).\n     *\n     * @static\n     * @memberOf _\n     * @since 0.6.0\n     * @category String\n     * @param {string} [string=''] The string to unescape.\n     * @returns {string} Returns the unescaped string.\n     * @example\n     *\n     * _.unescape('fred, barney, &amp; pebbles');\n     * // => 'fred, barney, & pebbles'\n     */\n    function unescape(string) {\n      string = toString(string);\n      return (string && reHasEscapedHtml.test(string))\n        ? string.replace(reEscapedHtml, unescapeHtmlChar)\n        : string;\n    }\n\n    /**\n     * Converts `string`, as space separated words, to upper case.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to convert.\n     * @returns {string} Returns the upper cased string.\n     * @example\n     *\n     * _.upperCase('--foo-bar');\n     * // => 'FOO BAR'\n     *\n     * _.upperCase('fooBar');\n     * // => 'FOO BAR'\n     *\n     * _.upperCase('__foo_bar__');\n     * // => 'FOO BAR'\n     */\n    var upperCase = createCompounder(function(result, word, index) {\n      return result + (index ? ' ' : '') + word.toUpperCase();\n    });\n\n    /**\n     * Converts the first character of `string` to upper case.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category String\n     * @param {string} [string=''] The string to convert.\n     * @returns {string} Returns the converted string.\n     * @example\n     *\n     * _.upperFirst('fred');\n     * // => 'Fred'\n     *\n     * _.upperFirst('FRED');\n     * // => 'FRED'\n     */\n    var upperFirst = createCaseFirst('toUpperCase');\n\n    /**\n     * Splits `string` into an array of its words.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category String\n     * @param {string} [string=''] The string to inspect.\n     * @param {RegExp|string} [pattern] The pattern to match words.\n     * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n     * @returns {Array} Returns the words of `string`.\n     * @example\n     *\n     * _.words('fred, barney, & pebbles');\n     * // => ['fred', 'barney', 'pebbles']\n     *\n     * _.words('fred, barney, & pebbles', /[^, ]+/g);\n     * // => ['fred', 'barney', '&', 'pebbles']\n     */\n    function words(string, pattern, guard) {\n      string = toString(string);\n      pattern = guard ? undefined : pattern;\n\n      if (pattern === undefined) {\n        return hasUnicodeWord(string) ? unicodeWords(string) : asciiWords(string);\n      }\n      return string.match(pattern) || [];\n    }\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Attempts to invoke `func`, returning either the result or the caught error\n     * object. Any additional arguments are provided to `func` when it's invoked.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Util\n     * @param {Function} func The function to attempt.\n     * @param {...*} [args] The arguments to invoke `func` with.\n     * @returns {*} Returns the `func` result or error object.\n     * @example\n     *\n     * // Avoid throwing errors for invalid selectors.\n     * var elements = _.attempt(function(selector) {\n     *   return document.querySelectorAll(selector);\n     * }, '>_>');\n     *\n     * if (_.isError(elements)) {\n     *   elements = [];\n     * }\n     */\n    var attempt = baseRest(function(func, args) {\n      try {\n        return apply(func, undefined, args);\n      } catch (e) {\n        return isError(e) ? e : new Error(e);\n      }\n    });\n\n    /**\n     * Binds methods of an object to the object itself, overwriting the existing\n     * method.\n     *\n     * **Note:** This method doesn't set the \"length\" property of bound functions.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Util\n     * @param {Object} object The object to bind and assign the bound methods to.\n     * @param {...(string|string[])} methodNames The object method names to bind.\n     * @returns {Object} Returns `object`.\n     * @example\n     *\n     * var view = {\n     *   'label': 'docs',\n     *   'click': function() {\n     *     console.log('clicked ' + this.label);\n     *   }\n     * };\n     *\n     * _.bindAll(view, ['click']);\n     * jQuery(element).on('click', view.click);\n     * // => Logs 'clicked docs' when clicked.\n     */\n    var bindAll = flatRest(function(object, methodNames) {\n      arrayEach(methodNames, function(key) {\n        key = toKey(key);\n        baseAssignValue(object, key, bind(object[key], object));\n      });\n      return object;\n    });\n\n    /**\n     * Creates a function that iterates over `pairs` and invokes the corresponding\n     * function of the first predicate to return truthy. The predicate-function\n     * pairs are invoked with the `this` binding and arguments of the created\n     * function.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Util\n     * @param {Array} pairs The predicate-function pairs.\n     * @returns {Function} Returns the new composite function.\n     * @example\n     *\n     * var func = _.cond([\n     *   [_.matches({ 'a': 1 }),           _.constant('matches A')],\n     *   [_.conforms({ 'b': _.isNumber }), _.constant('matches B')],\n     *   [_.stubTrue,                      _.constant('no match')]\n     * ]);\n     *\n     * func({ 'a': 1, 'b': 2 });\n     * // => 'matches A'\n     *\n     * func({ 'a': 0, 'b': 1 });\n     * // => 'matches B'\n     *\n     * func({ 'a': '1', 'b': '2' });\n     * // => 'no match'\n     */\n    function cond(pairs) {\n      var length = pairs == null ? 0 : pairs.length,\n          toIteratee = getIteratee();\n\n      pairs = !length ? [] : arrayMap(pairs, function(pair) {\n        if (typeof pair[1] != 'function') {\n          throw new TypeError(FUNC_ERROR_TEXT);\n        }\n        return [toIteratee(pair[0]), pair[1]];\n      });\n\n      return baseRest(function(args) {\n        var index = -1;\n        while (++index < length) {\n          var pair = pairs[index];\n          if (apply(pair[0], this, args)) {\n            return apply(pair[1], this, args);\n          }\n        }\n      });\n    }\n\n    /**\n     * Creates a function that invokes the predicate properties of `source` with\n     * the corresponding property values of a given object, returning `true` if\n     * all predicates return truthy, else `false`.\n     *\n     * **Note:** The created function is equivalent to `_.conformsTo` with\n     * `source` partially applied.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Util\n     * @param {Object} source The object of property predicates to conform to.\n     * @returns {Function} Returns the new spec function.\n     * @example\n     *\n     * var objects = [\n     *   { 'a': 2, 'b': 1 },\n     *   { 'a': 1, 'b': 2 }\n     * ];\n     *\n     * _.filter(objects, _.conforms({ 'b': function(n) { return n > 1; } }));\n     * // => [{ 'a': 1, 'b': 2 }]\n     */\n    function conforms(source) {\n      return baseConforms(baseClone(source, CLONE_DEEP_FLAG));\n    }\n\n    /**\n     * Creates a function that returns `value`.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.4.0\n     * @category Util\n     * @param {*} value The value to return from the new function.\n     * @returns {Function} Returns the new constant function.\n     * @example\n     *\n     * var objects = _.times(2, _.constant({ 'a': 1 }));\n     *\n     * console.log(objects);\n     * // => [{ 'a': 1 }, { 'a': 1 }]\n     *\n     * console.log(objects[0] === objects[1]);\n     * // => true\n     */\n    function constant(value) {\n      return function() {\n        return value;\n      };\n    }\n\n    /**\n     * Checks `value` to determine whether a default value should be returned in\n     * its place. The `defaultValue` is returned if `value` is `NaN`, `null`,\n     * or `undefined`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.14.0\n     * @category Util\n     * @param {*} value The value to check.\n     * @param {*} defaultValue The default value.\n     * @returns {*} Returns the resolved value.\n     * @example\n     *\n     * _.defaultTo(1, 10);\n     * // => 1\n     *\n     * _.defaultTo(undefined, 10);\n     * // => 10\n     */\n    function defaultTo(value, defaultValue) {\n      return (value == null || value !== value) ? defaultValue : value;\n    }\n\n    /**\n     * Creates a function that returns the result of invoking the given functions\n     * with the `this` binding of the created function, where each successive\n     * invocation is supplied the return value of the previous.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Util\n     * @param {...(Function|Function[])} [funcs] The functions to invoke.\n     * @returns {Function} Returns the new composite function.\n     * @see _.flowRight\n     * @example\n     *\n     * function square(n) {\n     *   return n * n;\n     * }\n     *\n     * var addSquare = _.flow([_.add, square]);\n     * addSquare(1, 2);\n     * // => 9\n     */\n    var flow = createFlow();\n\n    /**\n     * This method is like `_.flow` except that it creates a function that\n     * invokes the given functions from right to left.\n     *\n     * @static\n     * @since 3.0.0\n     * @memberOf _\n     * @category Util\n     * @param {...(Function|Function[])} [funcs] The functions to invoke.\n     * @returns {Function} Returns the new composite function.\n     * @see _.flow\n     * @example\n     *\n     * function square(n) {\n     *   return n * n;\n     * }\n     *\n     * var addSquare = _.flowRight([square, _.add]);\n     * addSquare(1, 2);\n     * // => 9\n     */\n    var flowRight = createFlow(true);\n\n    /**\n     * This method returns the first argument it receives.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Util\n     * @param {*} value Any value.\n     * @returns {*} Returns `value`.\n     * @example\n     *\n     * var object = { 'a': 1 };\n     *\n     * console.log(_.identity(object) === object);\n     * // => true\n     */\n    function identity(value) {\n      return value;\n    }\n\n    /**\n     * Creates a function that invokes `func` with the arguments of the created\n     * function. If `func` is a property name, the created function returns the\n     * property value for a given element. If `func` is an array or object, the\n     * created function returns `true` for elements that contain the equivalent\n     * source properties, otherwise it returns `false`.\n     *\n     * @static\n     * @since 4.0.0\n     * @memberOf _\n     * @category Util\n     * @param {*} [func=_.identity] The value to convert to a callback.\n     * @returns {Function} Returns the callback.\n     * @example\n     *\n     * var users = [\n     *   { 'user': 'barney', 'age': 36, 'active': true },\n     *   { 'user': 'fred',   'age': 40, 'active': false }\n     * ];\n     *\n     * // The `_.matches` iteratee shorthand.\n     * _.filter(users, _.iteratee({ 'user': 'barney', 'active': true }));\n     * // => [{ 'user': 'barney', 'age': 36, 'active': true }]\n     *\n     * // The `_.matchesProperty` iteratee shorthand.\n     * _.filter(users, _.iteratee(['user', 'fred']));\n     * // => [{ 'user': 'fred', 'age': 40 }]\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.map(users, _.iteratee('user'));\n     * // => ['barney', 'fred']\n     *\n     * // Create custom iteratee shorthands.\n     * _.iteratee = _.wrap(_.iteratee, function(iteratee, func) {\n     *   return !_.isRegExp(func) ? iteratee(func) : function(string) {\n     *     return func.test(string);\n     *   };\n     * });\n     *\n     * _.filter(['abc', 'def'], /ef/);\n     * // => ['def']\n     */\n    function iteratee(func) {\n      return baseIteratee(typeof func == 'function' ? func : baseClone(func, CLONE_DEEP_FLAG));\n    }\n\n    /**\n     * Creates a function that performs a partial deep comparison between a given\n     * object and `source`, returning `true` if the given object has equivalent\n     * property values, else `false`.\n     *\n     * **Note:** The created function is equivalent to `_.isMatch` with `source`\n     * partially applied.\n     *\n     * Partial comparisons will match empty array and empty object `source`\n     * values against any array or object value, respectively. See `_.isEqual`\n     * for a list of supported value comparisons.\n     *\n     * **Note:** Multiple values can be checked by combining several matchers\n     * using `_.overSome`\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Util\n     * @param {Object} source The object of property values to match.\n     * @returns {Function} Returns the new spec function.\n     * @example\n     *\n     * var objects = [\n     *   { 'a': 1, 'b': 2, 'c': 3 },\n     *   { 'a': 4, 'b': 5, 'c': 6 }\n     * ];\n     *\n     * _.filter(objects, _.matches({ 'a': 4, 'c': 6 }));\n     * // => [{ 'a': 4, 'b': 5, 'c': 6 }]\n     *\n     * // Checking for several possible values\n     * _.filter(objects, _.overSome([_.matches({ 'a': 1 }), _.matches({ 'a': 4 })]));\n     * // => [{ 'a': 1, 'b': 2, 'c': 3 }, { 'a': 4, 'b': 5, 'c': 6 }]\n     */\n    function matches(source) {\n      return baseMatches(baseClone(source, CLONE_DEEP_FLAG));\n    }\n\n    /**\n     * Creates a function that performs a partial deep comparison between the\n     * value at `path` of a given object to `srcValue`, returning `true` if the\n     * object value is equivalent, else `false`.\n     *\n     * **Note:** Partial comparisons will match empty array and empty object\n     * `srcValue` values against any array or object value, respectively. See\n     * `_.isEqual` for a list of supported value comparisons.\n     *\n     * **Note:** Multiple values can be checked by combining several matchers\n     * using `_.overSome`\n     *\n     * @static\n     * @memberOf _\n     * @since 3.2.0\n     * @category Util\n     * @param {Array|string} path The path of the property to get.\n     * @param {*} srcValue The value to match.\n     * @returns {Function} Returns the new spec function.\n     * @example\n     *\n     * var objects = [\n     *   { 'a': 1, 'b': 2, 'c': 3 },\n     *   { 'a': 4, 'b': 5, 'c': 6 }\n     * ];\n     *\n     * _.find(objects, _.matchesProperty('a', 4));\n     * // => { 'a': 4, 'b': 5, 'c': 6 }\n     *\n     * // Checking for several possible values\n     * _.filter(objects, _.overSome([_.matchesProperty('a', 1), _.matchesProperty('a', 4)]));\n     * // => [{ 'a': 1, 'b': 2, 'c': 3 }, { 'a': 4, 'b': 5, 'c': 6 }]\n     */\n    function matchesProperty(path, srcValue) {\n      return baseMatchesProperty(path, baseClone(srcValue, CLONE_DEEP_FLAG));\n    }\n\n    /**\n     * Creates a function that invokes the method at `path` of a given object.\n     * Any additional arguments are provided to the invoked method.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.7.0\n     * @category Util\n     * @param {Array|string} path The path of the method to invoke.\n     * @param {...*} [args] The arguments to invoke the method with.\n     * @returns {Function} Returns the new invoker function.\n     * @example\n     *\n     * var objects = [\n     *   { 'a': { 'b': _.constant(2) } },\n     *   { 'a': { 'b': _.constant(1) } }\n     * ];\n     *\n     * _.map(objects, _.method('a.b'));\n     * // => [2, 1]\n     *\n     * _.map(objects, _.method(['a', 'b']));\n     * // => [2, 1]\n     */\n    var method = baseRest(function(path, args) {\n      return function(object) {\n        return baseInvoke(object, path, args);\n      };\n    });\n\n    /**\n     * The opposite of `_.method`; this method creates a function that invokes\n     * the method at a given path of `object`. Any additional arguments are\n     * provided to the invoked method.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.7.0\n     * @category Util\n     * @param {Object} object The object to query.\n     * @param {...*} [args] The arguments to invoke the method with.\n     * @returns {Function} Returns the new invoker function.\n     * @example\n     *\n     * var array = _.times(3, _.constant),\n     *     object = { 'a': array, 'b': array, 'c': array };\n     *\n     * _.map(['a[2]', 'c[0]'], _.methodOf(object));\n     * // => [2, 0]\n     *\n     * _.map([['a', '2'], ['c', '0']], _.methodOf(object));\n     * // => [2, 0]\n     */\n    var methodOf = baseRest(function(object, args) {\n      return function(path) {\n        return baseInvoke(object, path, args);\n      };\n    });\n\n    /**\n     * Adds all own enumerable string keyed function properties of a source\n     * object to the destination object. If `object` is a function, then methods\n     * are added to its prototype as well.\n     *\n     * **Note:** Use `_.runInContext` to create a pristine `lodash` function to\n     * avoid conflicts caused by modifying the original.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Util\n     * @param {Function|Object} [object=lodash] The destination object.\n     * @param {Object} source The object of functions to add.\n     * @param {Object} [options={}] The options object.\n     * @param {boolean} [options.chain=true] Specify whether mixins are chainable.\n     * @returns {Function|Object} Returns `object`.\n     * @example\n     *\n     * function vowels(string) {\n     *   return _.filter(string, function(v) {\n     *     return /[aeiou]/i.test(v);\n     *   });\n     * }\n     *\n     * _.mixin({ 'vowels': vowels });\n     * _.vowels('fred');\n     * // => ['e']\n     *\n     * _('fred').vowels().value();\n     * // => ['e']\n     *\n     * _.mixin({ 'vowels': vowels }, { 'chain': false });\n     * _('fred').vowels();\n     * // => ['e']\n     */\n    function mixin(object, source, options) {\n      var props = keys(source),\n          methodNames = baseFunctions(source, props);\n\n      if (options == null &&\n          !(isObject(source) && (methodNames.length || !props.length))) {\n        options = source;\n        source = object;\n        object = this;\n        methodNames = baseFunctions(source, keys(source));\n      }\n      var chain = !(isObject(options) && 'chain' in options) || !!options.chain,\n          isFunc = isFunction(object);\n\n      arrayEach(methodNames, function(methodName) {\n        var func = source[methodName];\n        object[methodName] = func;\n        if (isFunc) {\n          object.prototype[methodName] = function() {\n            var chainAll = this.__chain__;\n            if (chain || chainAll) {\n              var result = object(this.__wrapped__),\n                  actions = result.__actions__ = copyArray(this.__actions__);\n\n              actions.push({ 'func': func, 'args': arguments, 'thisArg': object });\n              result.__chain__ = chainAll;\n              return result;\n            }\n            return func.apply(object, arrayPush([this.value()], arguments));\n          };\n        }\n      });\n\n      return object;\n    }\n\n    /**\n     * Reverts the `_` variable to its previous value and returns a reference to\n     * the `lodash` function.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Util\n     * @returns {Function} Returns the `lodash` function.\n     * @example\n     *\n     * var lodash = _.noConflict();\n     */\n    function noConflict() {\n      if (root._ === this) {\n        root._ = oldDash;\n      }\n      return this;\n    }\n\n    /**\n     * This method returns `undefined`.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.3.0\n     * @category Util\n     * @example\n     *\n     * _.times(2, _.noop);\n     * // => [undefined, undefined]\n     */\n    function noop() {\n      // No operation performed.\n    }\n\n    /**\n     * Creates a function that gets the argument at index `n`. If `n` is negative,\n     * the nth argument from the end is returned.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Util\n     * @param {number} [n=0] The index of the argument to return.\n     * @returns {Function} Returns the new pass-thru function.\n     * @example\n     *\n     * var func = _.nthArg(1);\n     * func('a', 'b', 'c', 'd');\n     * // => 'b'\n     *\n     * var func = _.nthArg(-2);\n     * func('a', 'b', 'c', 'd');\n     * // => 'c'\n     */\n    function nthArg(n) {\n      n = toInteger(n);\n      return baseRest(function(args) {\n        return baseNth(args, n);\n      });\n    }\n\n    /**\n     * Creates a function that invokes `iteratees` with the arguments it receives\n     * and returns their results.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Util\n     * @param {...(Function|Function[])} [iteratees=[_.identity]]\n     *  The iteratees to invoke.\n     * @returns {Function} Returns the new function.\n     * @example\n     *\n     * var func = _.over([Math.max, Math.min]);\n     *\n     * func(1, 2, 3, 4);\n     * // => [4, 1]\n     */\n    var over = createOver(arrayMap);\n\n    /**\n     * Creates a function that checks if **all** of the `predicates` return\n     * truthy when invoked with the arguments it receives.\n     *\n     * Following shorthands are possible for providing predicates.\n     * Pass an `Object` and it will be used as an parameter for `_.matches` to create the predicate.\n     * Pass an `Array` of parameters for `_.matchesProperty` and the predicate will be created using them.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Util\n     * @param {...(Function|Function[])} [predicates=[_.identity]]\n     *  The predicates to check.\n     * @returns {Function} Returns the new function.\n     * @example\n     *\n     * var func = _.overEvery([Boolean, isFinite]);\n     *\n     * func('1');\n     * // => true\n     *\n     * func(null);\n     * // => false\n     *\n     * func(NaN);\n     * // => false\n     */\n    var overEvery = createOver(arrayEvery);\n\n    /**\n     * Creates a function that checks if **any** of the `predicates` return\n     * truthy when invoked with the arguments it receives.\n     *\n     * Following shorthands are possible for providing predicates.\n     * Pass an `Object` and it will be used as an parameter for `_.matches` to create the predicate.\n     * Pass an `Array` of parameters for `_.matchesProperty` and the predicate will be created using them.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Util\n     * @param {...(Function|Function[])} [predicates=[_.identity]]\n     *  The predicates to check.\n     * @returns {Function} Returns the new function.\n     * @example\n     *\n     * var func = _.overSome([Boolean, isFinite]);\n     *\n     * func('1');\n     * // => true\n     *\n     * func(null);\n     * // => true\n     *\n     * func(NaN);\n     * // => false\n     *\n     * var matchesFunc = _.overSome([{ 'a': 1 }, { 'a': 2 }])\n     * var matchesPropertyFunc = _.overSome([['a', 1], ['a', 2]])\n     */\n    var overSome = createOver(arraySome);\n\n    /**\n     * Creates a function that returns the value at `path` of a given object.\n     *\n     * @static\n     * @memberOf _\n     * @since 2.4.0\n     * @category Util\n     * @param {Array|string} path The path of the property to get.\n     * @returns {Function} Returns the new accessor function.\n     * @example\n     *\n     * var objects = [\n     *   { 'a': { 'b': 2 } },\n     *   { 'a': { 'b': 1 } }\n     * ];\n     *\n     * _.map(objects, _.property('a.b'));\n     * // => [2, 1]\n     *\n     * _.map(_.sortBy(objects, _.property(['a', 'b'])), 'a.b');\n     * // => [1, 2]\n     */\n    function property(path) {\n      return isKey(path) ? baseProperty(toKey(path)) : basePropertyDeep(path);\n    }\n\n    /**\n     * The opposite of `_.property`; this method creates a function that returns\n     * the value at a given path of `object`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.0.0\n     * @category Util\n     * @param {Object} object The object to query.\n     * @returns {Function} Returns the new accessor function.\n     * @example\n     *\n     * var array = [0, 1, 2],\n     *     object = { 'a': array, 'b': array, 'c': array };\n     *\n     * _.map(['a[2]', 'c[0]'], _.propertyOf(object));\n     * // => [2, 0]\n     *\n     * _.map([['a', '2'], ['c', '0']], _.propertyOf(object));\n     * // => [2, 0]\n     */\n    function propertyOf(object) {\n      return function(path) {\n        return object == null ? undefined : baseGet(object, path);\n      };\n    }\n\n    /**\n     * Creates an array of numbers (positive and/or negative) progressing from\n     * `start` up to, but not including, `end`. A step of `-1` is used if a negative\n     * `start` is specified without an `end` or `step`. If `end` is not specified,\n     * it's set to `start` with `start` then set to `0`.\n     *\n     * **Note:** JavaScript follows the IEEE-754 standard for resolving\n     * floating-point values which can produce unexpected results.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Util\n     * @param {number} [start=0] The start of the range.\n     * @param {number} end The end of the range.\n     * @param {number} [step=1] The value to increment or decrement by.\n     * @returns {Array} Returns the range of numbers.\n     * @see _.inRange, _.rangeRight\n     * @example\n     *\n     * _.range(4);\n     * // => [0, 1, 2, 3]\n     *\n     * _.range(-4);\n     * // => [0, -1, -2, -3]\n     *\n     * _.range(1, 5);\n     * // => [1, 2, 3, 4]\n     *\n     * _.range(0, 20, 5);\n     * // => [0, 5, 10, 15]\n     *\n     * _.range(0, -4, -1);\n     * // => [0, -1, -2, -3]\n     *\n     * _.range(1, 4, 0);\n     * // => [1, 1, 1]\n     *\n     * _.range(0);\n     * // => []\n     */\n    var range = createRange();\n\n    /**\n     * This method is like `_.range` except that it populates values in\n     * descending order.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Util\n     * @param {number} [start=0] The start of the range.\n     * @param {number} end The end of the range.\n     * @param {number} [step=1] The value to increment or decrement by.\n     * @returns {Array} Returns the range of numbers.\n     * @see _.inRange, _.range\n     * @example\n     *\n     * _.rangeRight(4);\n     * // => [3, 2, 1, 0]\n     *\n     * _.rangeRight(-4);\n     * // => [-3, -2, -1, 0]\n     *\n     * _.rangeRight(1, 5);\n     * // => [4, 3, 2, 1]\n     *\n     * _.rangeRight(0, 20, 5);\n     * // => [15, 10, 5, 0]\n     *\n     * _.rangeRight(0, -4, -1);\n     * // => [-3, -2, -1, 0]\n     *\n     * _.rangeRight(1, 4, 0);\n     * // => [1, 1, 1]\n     *\n     * _.rangeRight(0);\n     * // => []\n     */\n    var rangeRight = createRange(true);\n\n    /**\n     * This method returns a new empty array.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.13.0\n     * @category Util\n     * @returns {Array} Returns the new empty array.\n     * @example\n     *\n     * var arrays = _.times(2, _.stubArray);\n     *\n     * console.log(arrays);\n     * // => [[], []]\n     *\n     * console.log(arrays[0] === arrays[1]);\n     * // => false\n     */\n    function stubArray() {\n      return [];\n    }\n\n    /**\n     * This method returns `false`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.13.0\n     * @category Util\n     * @returns {boolean} Returns `false`.\n     * @example\n     *\n     * _.times(2, _.stubFalse);\n     * // => [false, false]\n     */\n    function stubFalse() {\n      return false;\n    }\n\n    /**\n     * This method returns a new empty object.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.13.0\n     * @category Util\n     * @returns {Object} Returns the new empty object.\n     * @example\n     *\n     * var objects = _.times(2, _.stubObject);\n     *\n     * console.log(objects);\n     * // => [{}, {}]\n     *\n     * console.log(objects[0] === objects[1]);\n     * // => false\n     */\n    function stubObject() {\n      return {};\n    }\n\n    /**\n     * This method returns an empty string.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.13.0\n     * @category Util\n     * @returns {string} Returns the empty string.\n     * @example\n     *\n     * _.times(2, _.stubString);\n     * // => ['', '']\n     */\n    function stubString() {\n      return '';\n    }\n\n    /**\n     * This method returns `true`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.13.0\n     * @category Util\n     * @returns {boolean} Returns `true`.\n     * @example\n     *\n     * _.times(2, _.stubTrue);\n     * // => [true, true]\n     */\n    function stubTrue() {\n      return true;\n    }\n\n    /**\n     * Invokes the iteratee `n` times, returning an array of the results of\n     * each invocation. The iteratee is invoked with one argument; (index).\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Util\n     * @param {number} n The number of times to invoke `iteratee`.\n     * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n     * @returns {Array} Returns the array of results.\n     * @example\n     *\n     * _.times(3, String);\n     * // => ['0', '1', '2']\n     *\n     *  _.times(4, _.constant(0));\n     * // => [0, 0, 0, 0]\n     */\n    function times(n, iteratee) {\n      n = toInteger(n);\n      if (n < 1 || n > MAX_SAFE_INTEGER) {\n        return [];\n      }\n      var index = MAX_ARRAY_LENGTH,\n          length = nativeMin(n, MAX_ARRAY_LENGTH);\n\n      iteratee = getIteratee(iteratee);\n      n -= MAX_ARRAY_LENGTH;\n\n      var result = baseTimes(length, iteratee);\n      while (++index < n) {\n        iteratee(index);\n      }\n      return result;\n    }\n\n    /**\n     * Converts `value` to a property path array.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Util\n     * @param {*} value The value to convert.\n     * @returns {Array} Returns the new property path array.\n     * @example\n     *\n     * _.toPath('a.b.c');\n     * // => ['a', 'b', 'c']\n     *\n     * _.toPath('a[0].b.c');\n     * // => ['a', '0', 'b', 'c']\n     */\n    function toPath(value) {\n      if (isArray(value)) {\n        return arrayMap(value, toKey);\n      }\n      return isSymbol(value) ? [value] : copyArray(stringToPath(toString(value)));\n    }\n\n    /**\n     * Generates a unique ID. If `prefix` is given, the ID is appended to it.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Util\n     * @param {string} [prefix=''] The value to prefix the ID with.\n     * @returns {string} Returns the unique ID.\n     * @example\n     *\n     * _.uniqueId('contact_');\n     * // => 'contact_104'\n     *\n     * _.uniqueId();\n     * // => '105'\n     */\n    function uniqueId(prefix) {\n      var id = ++idCounter;\n      return toString(prefix) + id;\n    }\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * Adds two numbers.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.4.0\n     * @category Math\n     * @param {number} augend The first number in an addition.\n     * @param {number} addend The second number in an addition.\n     * @returns {number} Returns the total.\n     * @example\n     *\n     * _.add(6, 4);\n     * // => 10\n     */\n    var add = createMathOperation(function(augend, addend) {\n      return augend + addend;\n    }, 0);\n\n    /**\n     * Computes `number` rounded up to `precision`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.10.0\n     * @category Math\n     * @param {number} number The number to round up.\n     * @param {number} [precision=0] The precision to round up to.\n     * @returns {number} Returns the rounded up number.\n     * @example\n     *\n     * _.ceil(4.006);\n     * // => 5\n     *\n     * _.ceil(6.004, 2);\n     * // => 6.01\n     *\n     * _.ceil(6040, -2);\n     * // => 6100\n     */\n    var ceil = createRound('ceil');\n\n    /**\n     * Divide two numbers.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.7.0\n     * @category Math\n     * @param {number} dividend The first number in a division.\n     * @param {number} divisor The second number in a division.\n     * @returns {number} Returns the quotient.\n     * @example\n     *\n     * _.divide(6, 4);\n     * // => 1.5\n     */\n    var divide = createMathOperation(function(dividend, divisor) {\n      return dividend / divisor;\n    }, 1);\n\n    /**\n     * Computes `number` rounded down to `precision`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.10.0\n     * @category Math\n     * @param {number} number The number to round down.\n     * @param {number} [precision=0] The precision to round down to.\n     * @returns {number} Returns the rounded down number.\n     * @example\n     *\n     * _.floor(4.006);\n     * // => 4\n     *\n     * _.floor(0.046, 2);\n     * // => 0.04\n     *\n     * _.floor(4060, -2);\n     * // => 4000\n     */\n    var floor = createRound('floor');\n\n    /**\n     * Computes the maximum value of `array`. If `array` is empty or falsey,\n     * `undefined` is returned.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Math\n     * @param {Array} array The array to iterate over.\n     * @returns {*} Returns the maximum value.\n     * @example\n     *\n     * _.max([4, 2, 8, 6]);\n     * // => 8\n     *\n     * _.max([]);\n     * // => undefined\n     */\n    function max(array) {\n      return (array && array.length)\n        ? baseExtremum(array, identity, baseGt)\n        : undefined;\n    }\n\n    /**\n     * This method is like `_.max` except that it accepts `iteratee` which is\n     * invoked for each element in `array` to generate the criterion by which\n     * the value is ranked. The iteratee is invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Math\n     * @param {Array} array The array to iterate over.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {*} Returns the maximum value.\n     * @example\n     *\n     * var objects = [{ 'n': 1 }, { 'n': 2 }];\n     *\n     * _.maxBy(objects, function(o) { return o.n; });\n     * // => { 'n': 2 }\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.maxBy(objects, 'n');\n     * // => { 'n': 2 }\n     */\n    function maxBy(array, iteratee) {\n      return (array && array.length)\n        ? baseExtremum(array, getIteratee(iteratee, 2), baseGt)\n        : undefined;\n    }\n\n    /**\n     * Computes the mean of the values in `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Math\n     * @param {Array} array The array to iterate over.\n     * @returns {number} Returns the mean.\n     * @example\n     *\n     * _.mean([4, 2, 8, 6]);\n     * // => 5\n     */\n    function mean(array) {\n      return baseMean(array, identity);\n    }\n\n    /**\n     * This method is like `_.mean` except that it accepts `iteratee` which is\n     * invoked for each element in `array` to generate the value to be averaged.\n     * The iteratee is invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.7.0\n     * @category Math\n     * @param {Array} array The array to iterate over.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {number} Returns the mean.\n     * @example\n     *\n     * var objects = [{ 'n': 4 }, { 'n': 2 }, { 'n': 8 }, { 'n': 6 }];\n     *\n     * _.meanBy(objects, function(o) { return o.n; });\n     * // => 5\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.meanBy(objects, 'n');\n     * // => 5\n     */\n    function meanBy(array, iteratee) {\n      return baseMean(array, getIteratee(iteratee, 2));\n    }\n\n    /**\n     * Computes the minimum value of `array`. If `array` is empty or falsey,\n     * `undefined` is returned.\n     *\n     * @static\n     * @since 0.1.0\n     * @memberOf _\n     * @category Math\n     * @param {Array} array The array to iterate over.\n     * @returns {*} Returns the minimum value.\n     * @example\n     *\n     * _.min([4, 2, 8, 6]);\n     * // => 2\n     *\n     * _.min([]);\n     * // => undefined\n     */\n    function min(array) {\n      return (array && array.length)\n        ? baseExtremum(array, identity, baseLt)\n        : undefined;\n    }\n\n    /**\n     * This method is like `_.min` except that it accepts `iteratee` which is\n     * invoked for each element in `array` to generate the criterion by which\n     * the value is ranked. The iteratee is invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Math\n     * @param {Array} array The array to iterate over.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {*} Returns the minimum value.\n     * @example\n     *\n     * var objects = [{ 'n': 1 }, { 'n': 2 }];\n     *\n     * _.minBy(objects, function(o) { return o.n; });\n     * // => { 'n': 1 }\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.minBy(objects, 'n');\n     * // => { 'n': 1 }\n     */\n    function minBy(array, iteratee) {\n      return (array && array.length)\n        ? baseExtremum(array, getIteratee(iteratee, 2), baseLt)\n        : undefined;\n    }\n\n    /**\n     * Multiply two numbers.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.7.0\n     * @category Math\n     * @param {number} multiplier The first number in a multiplication.\n     * @param {number} multiplicand The second number in a multiplication.\n     * @returns {number} Returns the product.\n     * @example\n     *\n     * _.multiply(6, 4);\n     * // => 24\n     */\n    var multiply = createMathOperation(function(multiplier, multiplicand) {\n      return multiplier * multiplicand;\n    }, 1);\n\n    /**\n     * Computes `number` rounded to `precision`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.10.0\n     * @category Math\n     * @param {number} number The number to round.\n     * @param {number} [precision=0] The precision to round to.\n     * @returns {number} Returns the rounded number.\n     * @example\n     *\n     * _.round(4.006);\n     * // => 4\n     *\n     * _.round(4.006, 2);\n     * // => 4.01\n     *\n     * _.round(4060, -2);\n     * // => 4100\n     */\n    var round = createRound('round');\n\n    /**\n     * Subtract two numbers.\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Math\n     * @param {number} minuend The first number in a subtraction.\n     * @param {number} subtrahend The second number in a subtraction.\n     * @returns {number} Returns the difference.\n     * @example\n     *\n     * _.subtract(6, 4);\n     * // => 2\n     */\n    var subtract = createMathOperation(function(minuend, subtrahend) {\n      return minuend - subtrahend;\n    }, 0);\n\n    /**\n     * Computes the sum of the values in `array`.\n     *\n     * @static\n     * @memberOf _\n     * @since 3.4.0\n     * @category Math\n     * @param {Array} array The array to iterate over.\n     * @returns {number} Returns the sum.\n     * @example\n     *\n     * _.sum([4, 2, 8, 6]);\n     * // => 20\n     */\n    function sum(array) {\n      return (array && array.length)\n        ? baseSum(array, identity)\n        : 0;\n    }\n\n    /**\n     * This method is like `_.sum` except that it accepts `iteratee` which is\n     * invoked for each element in `array` to generate the value to be summed.\n     * The iteratee is invoked with one argument: (value).\n     *\n     * @static\n     * @memberOf _\n     * @since 4.0.0\n     * @category Math\n     * @param {Array} array The array to iterate over.\n     * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n     * @returns {number} Returns the sum.\n     * @example\n     *\n     * var objects = [{ 'n': 4 }, { 'n': 2 }, { 'n': 8 }, { 'n': 6 }];\n     *\n     * _.sumBy(objects, function(o) { return o.n; });\n     * // => 20\n     *\n     * // The `_.property` iteratee shorthand.\n     * _.sumBy(objects, 'n');\n     * // => 20\n     */\n    function sumBy(array, iteratee) {\n      return (array && array.length)\n        ? baseSum(array, getIteratee(iteratee, 2))\n        : 0;\n    }\n\n    /*------------------------------------------------------------------------*/\n\n    // Add methods that return wrapped values in chain sequences.\n    lodash.after = after;\n    lodash.ary = ary;\n    lodash.assign = assign;\n    lodash.assignIn = assignIn;\n    lodash.assignInWith = assignInWith;\n    lodash.assignWith = assignWith;\n    lodash.at = at;\n    lodash.before = before;\n    lodash.bind = bind;\n    lodash.bindAll = bindAll;\n    lodash.bindKey = bindKey;\n    lodash.castArray = castArray;\n    lodash.chain = chain;\n    lodash.chunk = chunk;\n    lodash.compact = compact;\n    lodash.concat = concat;\n    lodash.cond = cond;\n    lodash.conforms = conforms;\n    lodash.constant = constant;\n    lodash.countBy = countBy;\n    lodash.create = create;\n    lodash.curry = curry;\n    lodash.curryRight = curryRight;\n    lodash.debounce = debounce;\n    lodash.defaults = defaults;\n    lodash.defaultsDeep = defaultsDeep;\n    lodash.defer = defer;\n    lodash.delay = delay;\n    lodash.difference = difference;\n    lodash.differenceBy = differenceBy;\n    lodash.differenceWith = differenceWith;\n    lodash.drop = drop;\n    lodash.dropRight = dropRight;\n    lodash.dropRightWhile = dropRightWhile;\n    lodash.dropWhile = dropWhile;\n    lodash.fill = fill;\n    lodash.filter = filter;\n    lodash.flatMap = flatMap;\n    lodash.flatMapDeep = flatMapDeep;\n    lodash.flatMapDepth = flatMapDepth;\n    lodash.flatten = flatten;\n    lodash.flattenDeep = flattenDeep;\n    lodash.flattenDepth = flattenDepth;\n    lodash.flip = flip;\n    lodash.flow = flow;\n    lodash.flowRight = flowRight;\n    lodash.fromPairs = fromPairs;\n    lodash.functions = functions;\n    lodash.functionsIn = functionsIn;\n    lodash.groupBy = groupBy;\n    lodash.initial = initial;\n    lodash.intersection = intersection;\n    lodash.intersectionBy = intersectionBy;\n    lodash.intersectionWith = intersectionWith;\n    lodash.invert = invert;\n    lodash.invertBy = invertBy;\n    lodash.invokeMap = invokeMap;\n    lodash.iteratee = iteratee;\n    lodash.keyBy = keyBy;\n    lodash.keys = keys;\n    lodash.keysIn = keysIn;\n    lodash.map = map;\n    lodash.mapKeys = mapKeys;\n    lodash.mapValues = mapValues;\n    lodash.matches = matches;\n    lodash.matchesProperty = matchesProperty;\n    lodash.memoize = memoize;\n    lodash.merge = merge;\n    lodash.mergeWith = mergeWith;\n    lodash.method = method;\n    lodash.methodOf = methodOf;\n    lodash.mixin = mixin;\n    lodash.negate = negate;\n    lodash.nthArg = nthArg;\n    lodash.omit = omit;\n    lodash.omitBy = omitBy;\n    lodash.once = once;\n    lodash.orderBy = orderBy;\n    lodash.over = over;\n    lodash.overArgs = overArgs;\n    lodash.overEvery = overEvery;\n    lodash.overSome = overSome;\n    lodash.partial = partial;\n    lodash.partialRight = partialRight;\n    lodash.partition = partition;\n    lodash.pick = pick;\n    lodash.pickBy = pickBy;\n    lodash.property = property;\n    lodash.propertyOf = propertyOf;\n    lodash.pull = pull;\n    lodash.pullAll = pullAll;\n    lodash.pullAllBy = pullAllBy;\n    lodash.pullAllWith = pullAllWith;\n    lodash.pullAt = pullAt;\n    lodash.range = range;\n    lodash.rangeRight = rangeRight;\n    lodash.rearg = rearg;\n    lodash.reject = reject;\n    lodash.remove = remove;\n    lodash.rest = rest;\n    lodash.reverse = reverse;\n    lodash.sampleSize = sampleSize;\n    lodash.set = set;\n    lodash.setWith = setWith;\n    lodash.shuffle = shuffle;\n    lodash.slice = slice;\n    lodash.sortBy = sortBy;\n    lodash.sortedUniq = sortedUniq;\n    lodash.sortedUniqBy = sortedUniqBy;\n    lodash.split = split;\n    lodash.spread = spread;\n    lodash.tail = tail;\n    lodash.take = take;\n    lodash.takeRight = takeRight;\n    lodash.takeRightWhile = takeRightWhile;\n    lodash.takeWhile = takeWhile;\n    lodash.tap = tap;\n    lodash.throttle = throttle;\n    lodash.thru = thru;\n    lodash.toArray = toArray;\n    lodash.toPairs = toPairs;\n    lodash.toPairsIn = toPairsIn;\n    lodash.toPath = toPath;\n    lodash.toPlainObject = toPlainObject;\n    lodash.transform = transform;\n    lodash.unary = unary;\n    lodash.union = union;\n    lodash.unionBy = unionBy;\n    lodash.unionWith = unionWith;\n    lodash.uniq = uniq;\n    lodash.uniqBy = uniqBy;\n    lodash.uniqWith = uniqWith;\n    lodash.unset = unset;\n    lodash.unzip = unzip;\n    lodash.unzipWith = unzipWith;\n    lodash.update = update;\n    lodash.updateWith = updateWith;\n    lodash.values = values;\n    lodash.valuesIn = valuesIn;\n    lodash.without = without;\n    lodash.words = words;\n    lodash.wrap = wrap;\n    lodash.xor = xor;\n    lodash.xorBy = xorBy;\n    lodash.xorWith = xorWith;\n    lodash.zip = zip;\n    lodash.zipObject = zipObject;\n    lodash.zipObjectDeep = zipObjectDeep;\n    lodash.zipWith = zipWith;\n\n    // Add aliases.\n    lodash.entries = toPairs;\n    lodash.entriesIn = toPairsIn;\n    lodash.extend = assignIn;\n    lodash.extendWith = assignInWith;\n\n    // Add methods to `lodash.prototype`.\n    mixin(lodash, lodash);\n\n    /*------------------------------------------------------------------------*/\n\n    // Add methods that return unwrapped values in chain sequences.\n    lodash.add = add;\n    lodash.attempt = attempt;\n    lodash.camelCase = camelCase;\n    lodash.capitalize = capitalize;\n    lodash.ceil = ceil;\n    lodash.clamp = clamp;\n    lodash.clone = clone;\n    lodash.cloneDeep = cloneDeep;\n    lodash.cloneDeepWith = cloneDeepWith;\n    lodash.cloneWith = cloneWith;\n    lodash.conformsTo = conformsTo;\n    lodash.deburr = deburr;\n    lodash.defaultTo = defaultTo;\n    lodash.divide = divide;\n    lodash.endsWith = endsWith;\n    lodash.eq = eq;\n    lodash.escape = escape;\n    lodash.escapeRegExp = escapeRegExp;\n    lodash.every = every;\n    lodash.find = find;\n    lodash.findIndex = findIndex;\n    lodash.findKey = findKey;\n    lodash.findLast = findLast;\n    lodash.findLastIndex = findLastIndex;\n    lodash.findLastKey = findLastKey;\n    lodash.floor = floor;\n    lodash.forEach = forEach;\n    lodash.forEachRight = forEachRight;\n    lodash.forIn = forIn;\n    lodash.forInRight = forInRight;\n    lodash.forOwn = forOwn;\n    lodash.forOwnRight = forOwnRight;\n    lodash.get = get;\n    lodash.gt = gt;\n    lodash.gte = gte;\n    lodash.has = has;\n    lodash.hasIn = hasIn;\n    lodash.head = head;\n    lodash.identity = identity;\n    lodash.includes = includes;\n    lodash.indexOf = indexOf;\n    lodash.inRange = inRange;\n    lodash.invoke = invoke;\n    lodash.isArguments = isArguments;\n    lodash.isArray = isArray;\n    lodash.isArrayBuffer = isArrayBuffer;\n    lodash.isArrayLike = isArrayLike;\n    lodash.isArrayLikeObject = isArrayLikeObject;\n    lodash.isBoolean = isBoolean;\n    lodash.isBuffer = isBuffer;\n    lodash.isDate = isDate;\n    lodash.isElement = isElement;\n    lodash.isEmpty = isEmpty;\n    lodash.isEqual = isEqual;\n    lodash.isEqualWith = isEqualWith;\n    lodash.isError = isError;\n    lodash.isFinite = isFinite;\n    lodash.isFunction = isFunction;\n    lodash.isInteger = isInteger;\n    lodash.isLength = isLength;\n    lodash.isMap = isMap;\n    lodash.isMatch = isMatch;\n    lodash.isMatchWith = isMatchWith;\n    lodash.isNaN = isNaN;\n    lodash.isNative = isNative;\n    lodash.isNil = isNil;\n    lodash.isNull = isNull;\n    lodash.isNumber = isNumber;\n    lodash.isObject = isObject;\n    lodash.isObjectLike = isObjectLike;\n    lodash.isPlainObject = isPlainObject;\n    lodash.isRegExp = isRegExp;\n    lodash.isSafeInteger = isSafeInteger;\n    lodash.isSet = isSet;\n    lodash.isString = isString;\n    lodash.isSymbol = isSymbol;\n    lodash.isTypedArray = isTypedArray;\n    lodash.isUndefined = isUndefined;\n    lodash.isWeakMap = isWeakMap;\n    lodash.isWeakSet = isWeakSet;\n    lodash.join = join;\n    lodash.kebabCase = kebabCase;\n    lodash.last = last;\n    lodash.lastIndexOf = lastIndexOf;\n    lodash.lowerCase = lowerCase;\n    lodash.lowerFirst = lowerFirst;\n    lodash.lt = lt;\n    lodash.lte = lte;\n    lodash.max = max;\n    lodash.maxBy = maxBy;\n    lodash.mean = mean;\n    lodash.meanBy = meanBy;\n    lodash.min = min;\n    lodash.minBy = minBy;\n    lodash.stubArray = stubArray;\n    lodash.stubFalse = stubFalse;\n    lodash.stubObject = stubObject;\n    lodash.stubString = stubString;\n    lodash.stubTrue = stubTrue;\n    lodash.multiply = multiply;\n    lodash.nth = nth;\n    lodash.noConflict = noConflict;\n    lodash.noop = noop;\n    lodash.now = now;\n    lodash.pad = pad;\n    lodash.padEnd = padEnd;\n    lodash.padStart = padStart;\n    lodash.parseInt = parseInt;\n    lodash.random = random;\n    lodash.reduce = reduce;\n    lodash.reduceRight = reduceRight;\n    lodash.repeat = repeat;\n    lodash.replace = replace;\n    lodash.result = result;\n    lodash.round = round;\n    lodash.runInContext = runInContext;\n    lodash.sample = sample;\n    lodash.size = size;\n    lodash.snakeCase = snakeCase;\n    lodash.some = some;\n    lodash.sortedIndex = sortedIndex;\n    lodash.sortedIndexBy = sortedIndexBy;\n    lodash.sortedIndexOf = sortedIndexOf;\n    lodash.sortedLastIndex = sortedLastIndex;\n    lodash.sortedLastIndexBy = sortedLastIndexBy;\n    lodash.sortedLastIndexOf = sortedLastIndexOf;\n    lodash.startCase = startCase;\n    lodash.startsWith = startsWith;\n    lodash.subtract = subtract;\n    lodash.sum = sum;\n    lodash.sumBy = sumBy;\n    lodash.template = template;\n    lodash.times = times;\n    lodash.toFinite = toFinite;\n    lodash.toInteger = toInteger;\n    lodash.toLength = toLength;\n    lodash.toLower = toLower;\n    lodash.toNumber = toNumber;\n    lodash.toSafeInteger = toSafeInteger;\n    lodash.toString = toString;\n    lodash.toUpper = toUpper;\n    lodash.trim = trim;\n    lodash.trimEnd = trimEnd;\n    lodash.trimStart = trimStart;\n    lodash.truncate = truncate;\n    lodash.unescape = unescape;\n    lodash.uniqueId = uniqueId;\n    lodash.upperCase = upperCase;\n    lodash.upperFirst = upperFirst;\n\n    // Add aliases.\n    lodash.each = forEach;\n    lodash.eachRight = forEachRight;\n    lodash.first = head;\n\n    mixin(lodash, (function() {\n      var source = {};\n      baseForOwn(lodash, function(func, methodName) {\n        if (!hasOwnProperty.call(lodash.prototype, methodName)) {\n          source[methodName] = func;\n        }\n      });\n      return source;\n    }()), { 'chain': false });\n\n    /*------------------------------------------------------------------------*/\n\n    /**\n     * The semantic version number.\n     *\n     * @static\n     * @memberOf _\n     * @type {string}\n     */\n    lodash.VERSION = VERSION;\n\n    // Assign default placeholders.\n    arrayEach(['bind', 'bindKey', 'curry', 'curryRight', 'partial', 'partialRight'], function(methodName) {\n      lodash[methodName].placeholder = lodash;\n    });\n\n    // Add `LazyWrapper` methods for `_.drop` and `_.take` variants.\n    arrayEach(['drop', 'take'], function(methodName, index) {\n      LazyWrapper.prototype[methodName] = function(n) {\n        n = n === undefined ? 1 : nativeMax(toInteger(n), 0);\n\n        var result = (this.__filtered__ && !index)\n          ? new LazyWrapper(this)\n          : this.clone();\n\n        if (result.__filtered__) {\n          result.__takeCount__ = nativeMin(n, result.__takeCount__);\n        } else {\n          result.__views__.push({\n            'size': nativeMin(n, MAX_ARRAY_LENGTH),\n            'type': methodName + (result.__dir__ < 0 ? 'Right' : '')\n          });\n        }\n        return result;\n      };\n\n      LazyWrapper.prototype[methodName + 'Right'] = function(n) {\n        return this.reverse()[methodName](n).reverse();\n      };\n    });\n\n    // Add `LazyWrapper` methods that accept an `iteratee` value.\n    arrayEach(['filter', 'map', 'takeWhile'], function(methodName, index) {\n      var type = index + 1,\n          isFilter = type == LAZY_FILTER_FLAG || type == LAZY_WHILE_FLAG;\n\n      LazyWrapper.prototype[methodName] = function(iteratee) {\n        var result = this.clone();\n        result.__iteratees__.push({\n          'iteratee': getIteratee(iteratee, 3),\n          'type': type\n        });\n        result.__filtered__ = result.__filtered__ || isFilter;\n        return result;\n      };\n    });\n\n    // Add `LazyWrapper` methods for `_.head` and `_.last`.\n    arrayEach(['head', 'last'], function(methodName, index) {\n      var takeName = 'take' + (index ? 'Right' : '');\n\n      LazyWrapper.prototype[methodName] = function() {\n        return this[takeName](1).value()[0];\n      };\n    });\n\n    // Add `LazyWrapper` methods for `_.initial` and `_.tail`.\n    arrayEach(['initial', 'tail'], function(methodName, index) {\n      var dropName = 'drop' + (index ? '' : 'Right');\n\n      LazyWrapper.prototype[methodName] = function() {\n        return this.__filtered__ ? new LazyWrapper(this) : this[dropName](1);\n      };\n    });\n\n    LazyWrapper.prototype.compact = function() {\n      return this.filter(identity);\n    };\n\n    LazyWrapper.prototype.find = function(predicate) {\n      return this.filter(predicate).head();\n    };\n\n    LazyWrapper.prototype.findLast = function(predicate) {\n      return this.reverse().find(predicate);\n    };\n\n    LazyWrapper.prototype.invokeMap = baseRest(function(path, args) {\n      if (typeof path == 'function') {\n        return new LazyWrapper(this);\n      }\n      return this.map(function(value) {\n        return baseInvoke(value, path, args);\n      });\n    });\n\n    LazyWrapper.prototype.reject = function(predicate) {\n      return this.filter(negate(getIteratee(predicate)));\n    };\n\n    LazyWrapper.prototype.slice = function(start, end) {\n      start = toInteger(start);\n\n      var result = this;\n      if (result.__filtered__ && (start > 0 || end < 0)) {\n        return new LazyWrapper(result);\n      }\n      if (start < 0) {\n        result = result.takeRight(-start);\n      } else if (start) {\n        result = result.drop(start);\n      }\n      if (end !== undefined) {\n        end = toInteger(end);\n        result = end < 0 ? result.dropRight(-end) : result.take(end - start);\n      }\n      return result;\n    };\n\n    LazyWrapper.prototype.takeRightWhile = function(predicate) {\n      return this.reverse().takeWhile(predicate).reverse();\n    };\n\n    LazyWrapper.prototype.toArray = function() {\n      return this.take(MAX_ARRAY_LENGTH);\n    };\n\n    // Add `LazyWrapper` methods to `lodash.prototype`.\n    baseForOwn(LazyWrapper.prototype, function(func, methodName) {\n      var checkIteratee = /^(?:filter|find|map|reject)|While$/.test(methodName),\n          isTaker = /^(?:head|last)$/.test(methodName),\n          lodashFunc = lodash[isTaker ? ('take' + (methodName == 'last' ? 'Right' : '')) : methodName],\n          retUnwrapped = isTaker || /^find/.test(methodName);\n\n      if (!lodashFunc) {\n        return;\n      }\n      lodash.prototype[methodName] = function() {\n        var value = this.__wrapped__,\n            args = isTaker ? [1] : arguments,\n            isLazy = value instanceof LazyWrapper,\n            iteratee = args[0],\n            useLazy = isLazy || isArray(value);\n\n        var interceptor = function(value) {\n          var result = lodashFunc.apply(lodash, arrayPush([value], args));\n          return (isTaker && chainAll) ? result[0] : result;\n        };\n\n        if (useLazy && checkIteratee && typeof iteratee == 'function' && iteratee.length != 1) {\n          // Avoid lazy use if the iteratee has a \"length\" value other than `1`.\n          isLazy = useLazy = false;\n        }\n        var chainAll = this.__chain__,\n            isHybrid = !!this.__actions__.length,\n            isUnwrapped = retUnwrapped && !chainAll,\n            onlyLazy = isLazy && !isHybrid;\n\n        if (!retUnwrapped && useLazy) {\n          value = onlyLazy ? value : new LazyWrapper(this);\n          var result = func.apply(value, args);\n          result.__actions__.push({ 'func': thru, 'args': [interceptor], 'thisArg': undefined });\n          return new LodashWrapper(result, chainAll);\n        }\n        if (isUnwrapped && onlyLazy) {\n          return func.apply(this, args);\n        }\n        result = this.thru(interceptor);\n        return isUnwrapped ? (isTaker ? result.value()[0] : result.value()) : result;\n      };\n    });\n\n    // Add `Array` methods to `lodash.prototype`.\n    arrayEach(['pop', 'push', 'shift', 'sort', 'splice', 'unshift'], function(methodName) {\n      var func = arrayProto[methodName],\n          chainName = /^(?:push|sort|unshift)$/.test(methodName) ? 'tap' : 'thru',\n          retUnwrapped = /^(?:pop|shift)$/.test(methodName);\n\n      lodash.prototype[methodName] = function() {\n        var args = arguments;\n        if (retUnwrapped && !this.__chain__) {\n          var value = this.value();\n          return func.apply(isArray(value) ? value : [], args);\n        }\n        return this[chainName](function(value) {\n          return func.apply(isArray(value) ? value : [], args);\n        });\n      };\n    });\n\n    // Map minified method names to their real names.\n    baseForOwn(LazyWrapper.prototype, function(func, methodName) {\n      var lodashFunc = lodash[methodName];\n      if (lodashFunc) {\n        var key = lodashFunc.name + '';\n        if (!hasOwnProperty.call(realNames, key)) {\n          realNames[key] = [];\n        }\n        realNames[key].push({ 'name': methodName, 'func': lodashFunc });\n      }\n    });\n\n    realNames[createHybrid(undefined, WRAP_BIND_KEY_FLAG).name] = [{\n      'name': 'wrapper',\n      'func': undefined\n    }];\n\n    // Add methods to `LazyWrapper`.\n    LazyWrapper.prototype.clone = lazyClone;\n    LazyWrapper.prototype.reverse = lazyReverse;\n    LazyWrapper.prototype.value = lazyValue;\n\n    // Add chain sequence methods to the `lodash` wrapper.\n    lodash.prototype.at = wrapperAt;\n    lodash.prototype.chain = wrapperChain;\n    lodash.prototype.commit = wrapperCommit;\n    lodash.prototype.next = wrapperNext;\n    lodash.prototype.plant = wrapperPlant;\n    lodash.prototype.reverse = wrapperReverse;\n    lodash.prototype.toJSON = lodash.prototype.valueOf = lodash.prototype.value = wrapperValue;\n\n    // Add lazy aliases.\n    lodash.prototype.first = lodash.prototype.head;\n\n    if (symIterator) {\n      lodash.prototype[symIterator] = wrapperToIterator;\n    }\n    return lodash;\n  });\n\n  /*--------------------------------------------------------------------------*/\n\n  // Export lodash.\n  var _ = runInContext();\n\n  // Some AMD build optimizers, like r.js, check for condition patterns like:\n  if (typeof define == 'function' && typeof define.amd == 'object' && define.amd) {\n    // Expose Lodash on the global object to prevent errors when Lodash is\n    // loaded by a script tag in the presence of an AMD loader.\n    // See http://requirejs.org/docs/errors.html#mismatch for more details.\n    // Use `_.noConflict` to remove Lodash from the global object.\n    root._ = _;\n\n    // Define as an anonymous module so, through path mapping, it can be\n    // referenced as the \"underscore\" module.\n    define(function() {\n      return _;\n    });\n  }\n  // Check for `exports` after `define` in case a build optimizer adds it.\n  else if (freeModule) {\n    // Export for Node.js.\n    (freeModule.exports = _)._ = _;\n    // Export for CommonJS support.\n    freeExports._ = _;\n  }\n  else {\n    // Export to the global object.\n    root._ = _;\n  }\n}.call(this));\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'TimesCircleIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  \"fill-rule\": \"evenodd\",\n  \"clip-rule\": \"evenodd\",\n  d: \"M7 14C5.61553 14 4.26215 13.5895 3.11101 12.8203C1.95987 12.0511 1.06266 10.9579 0.532846 9.67879C0.00303296 8.3997 -0.13559 6.99224 0.134506 5.63437C0.404603 4.2765 1.07129 3.02922 2.05026 2.05026C3.02922 1.07129 4.2765 0.404603 5.63437 0.134506C6.99224 -0.13559 8.3997 0.00303296 9.67879 0.532846C10.9579 1.06266 12.0511 1.95987 12.8203 3.11101C13.5895 4.26215 14 5.61553 14 7C14 8.85652 13.2625 10.637 11.9497 11.9497C10.637 13.2625 8.85652 14 7 14ZM7 1.16667C5.84628 1.16667 4.71846 1.50879 3.75918 2.14976C2.79989 2.79074 2.05222 3.70178 1.61071 4.76768C1.16919 5.83358 1.05367 7.00647 1.27876 8.13803C1.50384 9.26958 2.05941 10.309 2.87521 11.1248C3.69102 11.9406 4.73042 12.4962 5.86198 12.7212C6.99353 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9.62748 9.84333 9.55669 9.87271C9.4859 9.90209 9.40996 9.91704 9.33332 9.91668C9.25668 9.91704 9.18073 9.90209 9.10995 9.87271C9.03916 9.84333 8.97495 9.8001 8.9211 9.74557L6.99997 7.82444L5.07884 9.74557C5.02499 9.8001 4.96078 9.84333 4.88999 9.87271C4.81921 9.90209 4.74326 9.91704 4.66662 9.91668Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-chip {\\n    display: inline-flex;\\n    align-items: center;\\n    background: \".concat(dt('chip.background'), \";\\n    color: \").concat(dt('chip.color'), \";\\n    border-radius: \").concat(dt('chip.border.radius'), \";\\n    padding: \").concat(dt('chip.padding.y'), \" \").concat(dt('chip.padding.x'), \";\\n    gap: \").concat(dt('chip.gap'), \";\\n}\\n\\n.p-chip-icon {\\n    color: \").concat(dt('chip.icon.color'), \";\\n    font-size: \").concat(dt('chip.icon.font.size'), \";\\n    width: \").concat(dt('chip.icon.size'), \";\\n    height: \").concat(dt('chip.icon.size'), \";\\n}\\n\\n.p-chip-image {\\n    border-radius: 50%;\\n    width: \").concat(dt('chip.image.width'), \";\\n    height: \").concat(dt('chip.image.height'), \";\\n    margin-left: calc(-1 * \").concat(dt('chip.padding.y'), \");\\n}\\n\\n.p-chip:has(.p-chip-remove-icon) {\\n    padding-right: \").concat(dt('chip.padding.y'), \";\\n}\\n\\n.p-chip:has(.p-chip-image) {\\n    padding-top: calc(\").concat(dt('chip.padding.y'), \" / 2);\\n    padding-bottom: calc(\").concat(dt('chip.padding.y'), \" / 2);\\n}\\n\\n.p-chip-remove-icon {\\n    cursor: pointer;\\n    font-size: \").concat(dt('chip.remove.icon.size'), \";\\n    width: \").concat(dt('chip.remove.icon.size'), \";\\n    height: \").concat(dt('chip.remove.icon.size'), \";\\n    color: \").concat(dt('chip.remove.icon.color'), \";\\n    border-radius: 50%;\\n    transition: outline-color \").concat(dt('chip.transition.duration'), \", box-shadow \").concat(dt('chip.transition.duration'), \";\\n    outline-color: transparent;\\n}\\n\\n.p-chip-remove-icon:focus-visible {\\n    box-shadow: \").concat(dt('chip.remove.icon.focus.ring.shadow'), \";\\n    outline: \").concat(dt('chip.remove.icon.focus.ring.width'), \" \").concat(dt('chip.remove.icon.focus.ring.style'), \" \").concat(dt('chip.remove.icon.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('chip.remove.icon.focus.ring.offset'), \";\\n}\\n\");\n};\nvar classes = {\n  root: 'p-chip p-component',\n  image: 'p-chip-image',\n  icon: 'p-chip-icon',\n  label: 'p-chip-label',\n  removeIcon: 'p-chip-remove-icon'\n};\nvar ChipStyle = BaseStyle.extend({\n  name: 'chip',\n  theme: theme,\n  classes: classes\n});\n\nexport { ChipStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import TimesCircleIcon from '@primevue/icons/timescircle';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport ChipStyle from 'primevue/chip/style';\nimport { openBlock, createElementBlock, mergeProps, renderSlot, createBlock, resolveDynamicComponent, createCommentVNode, toDisplayString } from 'vue';\n\nvar script$1 = {\n  name: 'BaseChip',\n  \"extends\": BaseComponent,\n  props: {\n    label: {\n      type: String,\n      \"default\": null\n    },\n    icon: {\n      type: String,\n      \"default\": null\n    },\n    image: {\n      type: String,\n      \"default\": null\n    },\n    removable: {\n      type: Boolean,\n      \"default\": false\n    },\n    removeIcon: {\n      type: String,\n      \"default\": undefined\n    }\n  },\n  style: ChipStyle,\n  provide: function provide() {\n    return {\n      $pcChip: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'Chip',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['remove'],\n  data: function data() {\n    return {\n      visible: true\n    };\n  },\n  methods: {\n    onKeydown: function onKeydown(event) {\n      if (event.key === 'Enter' || event.key === 'Backspace') {\n        this.close(event);\n      }\n    },\n    close: function close(event) {\n      this.visible = false;\n      this.$emit('remove', event);\n    }\n  },\n  components: {\n    TimesCircleIcon: TimesCircleIcon\n  }\n};\n\nvar _hoisted_1 = [\"aria-label\"];\nvar _hoisted_2 = [\"src\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return $data.visible ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('root'),\n    \"aria-label\": _ctx.label\n  }, _ctx.ptmi('root')), [renderSlot(_ctx.$slots, \"default\", {}, function () {\n    return [_ctx.image ? (openBlock(), createElementBlock(\"img\", mergeProps({\n      key: 0,\n      src: _ctx.image\n    }, _ctx.ptm('image'), {\n      \"class\": _ctx.cx('image')\n    }), null, 16, _hoisted_2)) : _ctx.$slots.icon ? (openBlock(), createBlock(resolveDynamicComponent(_ctx.$slots.icon), mergeProps({\n      key: 1,\n      \"class\": _ctx.cx('icon')\n    }, _ctx.ptm('icon')), null, 16, [\"class\"])) : _ctx.icon ? (openBlock(), createElementBlock(\"span\", mergeProps({\n      key: 2,\n      \"class\": [_ctx.cx('icon'), _ctx.icon]\n    }, _ctx.ptm('icon')), null, 16)) : createCommentVNode(\"\", true), _ctx.label ? (openBlock(), createElementBlock(\"div\", mergeProps({\n      key: 3,\n      \"class\": _ctx.cx('label')\n    }, _ctx.ptm('label')), toDisplayString(_ctx.label), 17)) : createCommentVNode(\"\", true)];\n  }), _ctx.removable ? renderSlot(_ctx.$slots, \"removeicon\", {\n    key: 0,\n    removeCallback: $options.close,\n    keydownCallback: $options.onKeydown\n  }, function () {\n    return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.removeIcon ? 'span' : 'TimesCircleIcon'), mergeProps({\n      tabindex: \"0\",\n      \"class\": [_ctx.cx('removeIcon'), _ctx.removeIcon],\n      onClick: $options.close,\n      onKeydown: $options.onKeydown\n    }, _ctx.ptm('removeIcon')), null, 16, [\"class\", \"onClick\", \"onKeydown\"]))];\n  }) : createCommentVNode(\"\", true)], 16, _hoisted_1)) : createCommentVNode(\"\", true);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <div :class=\"props.class\">\n    <IconField>\n      <InputIcon :class=\"props.icon\" />\n      <InputText\n        class=\"search-box-input\"\n        :class=\"{ ['with-filter']: props.filterIcon }\"\n        @input=\"handleInput\"\n        :modelValue=\"props.modelValue\"\n        :placeholder=\"props.placeholder\"\n      />\n      <Button\n        v-if=\"props.filterIcon\"\n        class=\"p-inputicon\"\n        :icon=\"props.filterIcon\"\n        text\n        severity=\"contrast\"\n        @click=\"$emit('showFilter', $event)\"\n      />\n    </IconField>\n    <div class=\"search-filters\" v-if=\"filters\">\n      <SearchFilterChip\n        v-for=\"filter in filters\"\n        :key=\"filter.id\"\n        :text=\"filter.text\"\n        :badge=\"filter.badge\"\n        :badge-class=\"filter.badgeClass\"\n        @remove=\"$emit('removeFilter', filter)\"\n      />\n    </div>\n  </div>\n</template>\n\n<script setup lang=\"ts\" generic=\"TFilter extends SearchFilter\">\nimport type { SearchFilter } from './SearchFilterChip.vue'\nimport { debounce } from 'lodash'\nimport IconField from 'primevue/iconfield'\nimport InputIcon from 'primevue/inputicon'\nimport InputText from 'primevue/inputtext'\nimport Button from 'primevue/button'\nimport SearchFilterChip from './SearchFilterChip.vue'\nimport { toRefs } from 'vue'\n\ninterface Props {\n  class?: string\n  modelValue: string\n  placeholder?: string\n  icon?: string\n  debounceTime?: number\n  filterIcon?: string\n  filters?: TFilter[]\n}\n\nconst props = withDefaults(defineProps<Props>(), {\n  placeholder: 'Search...',\n  icon: 'pi pi-search',\n  debounceTime: 300\n})\n\nconst { filters } = toRefs(props)\n\nconst emit = defineEmits([\n  'update:modelValue',\n  'search',\n  'showFilter',\n  'removeFilter'\n])\n\nconst emitSearch = debounce((value: string) => {\n  emit('search', value, props.filters)\n}, props.debounceTime)\n\nconst handleInput = (event: Event) => {\n  const target = event.target as HTMLInputElement\n  emit('update:modelValue', target.value)\n  emitSearch(target.value)\n}\n</script>\n\n<style scoped>\n.search-box-input {\n  width: 100%;\n  padding-left: 36px;\n}\n\n.search-box-input.with-filter {\n  padding-right: 36px;\n}\n\n.p-button.p-inputicon {\n  padding: 0;\n  width: auto;\n  border: none !important;\n}\n\n.search-filters {\n  @apply pt-2 flex flex-wrap gap-2;\n}\n</style>\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-card {\\n    background: \".concat(dt('card.background'), \";\\n    color: \").concat(dt('card.color'), \";\\n    box-shadow: \").concat(dt('card.shadow'), \";\\n    border-radius: \").concat(dt('card.border.radius'), \";\\n    display: flex;\\n    flex-direction: column;\\n}\\n\\n.p-card-caption {\\n    display: flex;\\n    flex-direction: column;\\n    gap: \").concat(dt('card.caption.gap'), \";\\n}\\n\\n.p-card-body {\\n    padding: \").concat(dt('card.body.padding'), \";\\n    display: flex;\\n    flex-direction: column;\\n    gap: \").concat(dt('card.body.gap'), \";\\n}\\n\\n.p-card-title {\\n    font-size: \").concat(dt('card.title.font.size'), \";\\n    font-weight: \").concat(dt('card.title.font.weight'), \";\\n}\\n\\n.p-card-subtitle {\\n    color: \").concat(dt('card.subtitle.color'), \";\\n}\\n\");\n};\nvar classes = {\n  root: 'p-card p-component',\n  header: 'p-card-header',\n  body: 'p-card-body',\n  caption: 'p-card-caption',\n  title: 'p-card-title',\n  subtitle: 'p-card-subtitle',\n  content: 'p-card-content',\n  footer: 'p-card-footer'\n};\nvar CardStyle = BaseStyle.extend({\n  name: 'card',\n  theme: theme,\n  classes: classes\n});\n\nexport { CardStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport CardStyle from 'primevue/card/style';\nimport { openBlock, createElementBlock, mergeProps, renderSlot, createCommentVNode, createElementVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BaseCard',\n  \"extends\": BaseComponent,\n  style: CardStyle,\n  provide: function provide() {\n    return {\n      $pcCard: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'Card',\n  \"extends\": script$1,\n  inheritAttrs: false\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root')), [_ctx.$slots.header ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('header')\n  }, _ctx.ptm('header')), [renderSlot(_ctx.$slots, \"header\")], 16)) : createCommentVNode(\"\", true), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('body')\n  }, _ctx.ptm('body')), [_ctx.$slots.title || _ctx.$slots.subtitle ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('caption')\n  }, _ctx.ptm('caption')), [_ctx.$slots.title ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('title')\n  }, _ctx.ptm('title')), [renderSlot(_ctx.$slots, \"title\")], 16)) : createCommentVNode(\"\", true), _ctx.$slots.subtitle ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 1,\n    \"class\": _ctx.cx('subtitle')\n  }, _ctx.ptm('subtitle')), [renderSlot(_ctx.$slots, \"subtitle\")], 16)) : createCommentVNode(\"\", true)], 16)) : createCommentVNode(\"\", true), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('content')\n  }, _ctx.ptm('content')), [renderSlot(_ctx.$slots, \"content\")], 16), _ctx.$slots.footer ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 1,\n    \"class\": _ctx.cx('footer')\n  }, _ctx.ptm('footer')), [renderSlot(_ctx.$slots, \"footer\")], 16)) : createCommentVNode(\"\", true)], 16)], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <div class=\"settings-container\">\n    <div class=\"settings-sidebar\">\n      <SearchBox\n        class=\"settings-search-box\"\n        v-model:modelValue=\"searchQuery\"\n        @search=\"handleSearch\"\n        :placeholder=\"$t('searchSettings') + '...'\"\n      />\n      <Listbox\n        v-model=\"activeCategory\"\n        :options=\"categories\"\n        optionLabel=\"label\"\n        scrollHeight=\"100%\"\n        :disabled=\"inSearch\"\n        :pt=\"{ root: { class: 'border-none' } }\"\n      />\n    </div>\n    <Divider layout=\"vertical\" />\n    <div class=\"settings-content\">\n      <Tabs :value=\"tabValue\">\n        <TabPanels class=\"settings-tab-panels\">\n          <TabPanel key=\"search-results\" value=\"Search Results\">\n            <div v-if=\"searchResults.length > 0\">\n              <SettingGroup\n                v-for=\"(group, i) in searchResults\"\n                :key=\"group.label\"\n                :divider=\"i !== 0\"\n                :group=\"group\"\n              />\n            </div>\n            <NoResultsPlaceholder\n              v-else\n              icon=\"pi pi-search\"\n              :title=\"$t('noResultsFound')\"\n              :message=\"$t('searchFailedMessage')\"\n            />\n          </TabPanel>\n          <TabPanel\n            v-for=\"category in categories\"\n            :key=\"category.key\"\n            :value=\"category.label\"\n          >\n            <SettingGroup\n              v-for=\"(group, i) in sortedGroups(category)\"\n              :key=\"group.label\"\n              :divider=\"i !== 0\"\n              :group=\"{\n                label: group.label,\n                settings: flattenTree<SettingParams>(group)\n              }\"\n            />\n          </TabPanel>\n        </TabPanels>\n      </Tabs>\n    </div>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { ref, computed, onMounted, watch } from 'vue'\nimport Listbox from 'primevue/listbox'\nimport Tabs from 'primevue/tabs'\nimport TabPanels from 'primevue/tabpanels'\nimport TabPanel from 'primevue/tabpanel'\nimport Divider from 'primevue/divider'\nimport { SettingTreeNode, useSettingStore } from '@/stores/settingStore'\nimport { SettingParams } from '@/types/settingTypes'\nimport SettingGroup from './setting/SettingGroup.vue'\nimport SearchBox from '@/components/common/SearchBox.vue'\nimport NoResultsPlaceholder from '@/components/common/NoResultsPlaceholder.vue'\nimport { flattenTree } from '@/utils/treeUtil'\n\ninterface ISettingGroup {\n  label: string\n  settings: SettingParams[]\n}\n\nconst settingStore = useSettingStore()\nconst settingRoot = computed<SettingTreeNode>(() => settingStore.settingTree)\nconst categories = computed<SettingTreeNode[]>(\n  () => settingRoot.value.children || []\n)\nconst activeCategory = ref<SettingTreeNode | null>(null)\nconst searchResults = ref<ISettingGroup[]>([])\n\nwatch(activeCategory, (newCategory, oldCategory) => {\n  if (newCategory === null) {\n    activeCategory.value = oldCategory\n  }\n})\n\nonMounted(() => {\n  activeCategory.value = categories.value[0]\n})\n\nconst sortedGroups = (category: SettingTreeNode) => {\n  return [...(category.children || [])].sort((a, b) =>\n    a.label.localeCompare(b.label)\n  )\n}\n\nconst searchQuery = ref<string>('')\nconst searchInProgress = ref<boolean>(false)\nwatch(searchQuery, () => (searchInProgress.value = true))\n\nconst handleSearch = (query: string) => {\n  if (!query) {\n    searchResults.value = []\n    return\n  }\n\n  const allSettings = flattenTree<SettingParams>(settingRoot.value)\n  const filteredSettings = allSettings.filter(\n    (setting) =>\n      setting.id.toLowerCase().includes(query.toLowerCase()) ||\n      setting.name.toLowerCase().includes(query.toLowerCase())\n  )\n\n  const groupedSettings: { [key: string]: SettingParams[] } = {}\n  filteredSettings.forEach((setting) => {\n    const groupLabel = setting.id.split('.')[1]\n    if (!groupedSettings[groupLabel]) {\n      groupedSettings[groupLabel] = []\n    }\n    groupedSettings[groupLabel].push(setting)\n  })\n\n  searchResults.value = Object.entries(groupedSettings).map(\n    ([label, settings]) => ({\n      label,\n      settings\n    })\n  )\n  searchInProgress.value = false\n}\n\nconst inSearch = computed(\n  () => searchQuery.value.length > 0 && !searchInProgress.value\n)\nconst tabValue = computed(() =>\n  inSearch.value ? 'Search Results' : activeCategory.value?.label\n)\n</script>\n\n<style>\n/* Remove after we have tailwind setup */\n.border-none {\n  border: none !important;\n}\n\n.settings-tab-panels {\n  padding-top: 0px !important;\n}\n</style>\n\n<style scoped>\n.settings-container {\n  display: flex;\n  height: 70vh;\n  width: 60vw;\n  max-width: 1000px;\n  overflow: hidden;\n  /* Prevents container from scrolling */\n}\n\n.settings-sidebar {\n  width: 250px;\n  flex-shrink: 0;\n  /* Prevents sidebar from shrinking */\n  overflow-y: auto;\n  padding: 10px;\n}\n\n.settings-search-box {\n  width: 100%;\n  margin-bottom: 10px;\n}\n\n.settings-content {\n  flex-grow: 1;\n  overflow-y: auto;\n  /* Allows vertical scrolling */\n}\n\n/* Ensure the Listbox takes full width of the sidebar */\n.settings-sidebar :deep(.p-listbox) {\n  width: 100%;\n}\n\n/* Optional: Style scrollbars for webkit browsers */\n.settings-sidebar::-webkit-scrollbar,\n.settings-content::-webkit-scrollbar {\n  width: 1px;\n}\n\n.settings-sidebar::-webkit-scrollbar-thumb,\n.settings-content::-webkit-scrollbar-thumb {\n  background-color: transparent;\n}\n\n@media (max-width: 768px) {\n  .settings-container {\n    flex-direction: column;\n    height: auto;\n  }\n\n  .settings-sidebar {\n    width: 100%;\n  }\n}\n</style>\n","<template>\n  <div>\n    <h2>\n      <i class=\"pi pi-cog\"></i>\n      <span>{{ $t('settings') }}</span>\n      <Tag :value=\"frontendVersion\" severity=\"secondary\" class=\"version-tag\" />\n    </h2>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport Tag from 'primevue/tag'\nconst frontendVersion = 'v' + window['__COMFYUI_FRONTEND_VERSION__']\n</script>\n\n<style scoped>\n.pi-cog {\n  font-size: 1.25rem;\n  margin-right: 0.5rem;\n}\n.version-tag {\n  margin-left: 0.5rem;\n}\n</style>\n","import * as Vue from 'vue'\n\nvar isVue2 = false\nvar isVue3 = true\nvar Vue2 = undefined\n\nfunction install() {}\n\nexport function set(target, key, val) {\n  if (Array.isArray(target)) {\n    target.length = Math.max(target.length, key)\n    target.splice(key, 1, val)\n    return val\n  }\n  target[key] = val\n  return val\n}\n\nexport function del(target, key) {\n  if (Array.isArray(target)) {\n    target.splice(key, 1)\n    return\n  }\n  delete target[key]\n}\n\nexport * from 'vue'\nexport {\n  Vue,\n  Vue2,\n  isVue2,\n  isVue3,\n  install,\n}\n","import { shallowRef, watchEffect, readonly, ref, watch, customRef, getCurrentScope, onScopeDispose, effectScope, getCurrentInstance, provide, inject, isVue3, version, isRef, unref, computed, reactive, toRefs as toRefs$1, toRef as toRef$1, isVue2, set as set$1, onBeforeMount, nextTick, onBeforeUnmount, onMounted, onUnmounted, isReactive } from 'vue-demi';\n\nfunction computedEager(fn, options) {\n  var _a;\n  const result = shallowRef();\n  watchEffect(() => {\n    result.value = fn();\n  }, {\n    ...options,\n    flush: (_a = options == null ? void 0 : options.flush) != null ? _a : \"sync\"\n  });\n  return readonly(result);\n}\n\nfunction computedWithControl(source, fn) {\n  let v = void 0;\n  let track;\n  let trigger;\n  const dirty = ref(true);\n  const update = () => {\n    dirty.value = true;\n    trigger();\n  };\n  watch(source, update, { flush: \"sync\" });\n  const get = typeof fn === \"function\" ? fn : fn.get;\n  const set = typeof fn === \"function\" ? void 0 : fn.set;\n  const result = customRef((_track, _trigger) => {\n    track = _track;\n    trigger = _trigger;\n    return {\n      get() {\n        if (dirty.value) {\n          v = get(v);\n          dirty.value = false;\n        }\n        track();\n        return v;\n      },\n      set(v2) {\n        set == null ? void 0 : set(v2);\n      }\n    };\n  });\n  if (Object.isExtensible(result))\n    result.trigger = update;\n  return result;\n}\n\nfunction tryOnScopeDispose(fn) {\n  if (getCurrentScope()) {\n    onScopeDispose(fn);\n    return true;\n  }\n  return false;\n}\n\nfunction createEventHook() {\n  const fns = /* @__PURE__ */ new Set();\n  const off = (fn) => {\n    fns.delete(fn);\n  };\n  const on = (fn) => {\n    fns.add(fn);\n    const offFn = () => off(fn);\n    tryOnScopeDispose(offFn);\n    return {\n      off: offFn\n    };\n  };\n  const trigger = (...args) => {\n    return Promise.all(Array.from(fns).map((fn) => fn(...args)));\n  };\n  return {\n    on,\n    off,\n    trigger\n  };\n}\n\nfunction createGlobalState(stateFactory) {\n  let initialized = false;\n  let state;\n  const scope = effectScope(true);\n  return (...args) => {\n    if (!initialized) {\n      state = scope.run(() => stateFactory(...args));\n      initialized = true;\n    }\n    return state;\n  };\n}\n\nconst localProvidedStateMap = /* @__PURE__ */ new WeakMap();\n\nconst provideLocal = (key, value) => {\n  var _a;\n  const instance = (_a = getCurrentInstance()) == null ? void 0 : _a.proxy;\n  if (instance == null)\n    throw new Error(\"provideLocal must be called in setup\");\n  if (!localProvidedStateMap.has(instance))\n    localProvidedStateMap.set(instance, /* @__PURE__ */ Object.create(null));\n  const localProvidedState = localProvidedStateMap.get(instance);\n  localProvidedState[key] = value;\n  provide(key, value);\n};\n\nconst injectLocal = (...args) => {\n  var _a;\n  const key = args[0];\n  const instance = (_a = getCurrentInstance()) == null ? void 0 : _a.proxy;\n  if (instance == null)\n    throw new Error(\"injectLocal must be called in setup\");\n  if (localProvidedStateMap.has(instance) && key in localProvidedStateMap.get(instance))\n    return localProvidedStateMap.get(instance)[key];\n  return inject(...args);\n};\n\nfunction createInjectionState(composable, options) {\n  const key = (options == null ? void 0 : options.injectionKey) || Symbol(composable.name || \"InjectionState\");\n  const defaultValue = options == null ? void 0 : options.defaultValue;\n  const useProvidingState = (...args) => {\n    const state = composable(...args);\n    provideLocal(key, state);\n    return state;\n  };\n  const useInjectedState = () => injectLocal(key, defaultValue);\n  return [useProvidingState, useInjectedState];\n}\n\nfunction createSharedComposable(composable) {\n  let subscribers = 0;\n  let state;\n  let scope;\n  const dispose = () => {\n    subscribers -= 1;\n    if (scope && subscribers <= 0) {\n      scope.stop();\n      state = void 0;\n      scope = void 0;\n    }\n  };\n  return (...args) => {\n    subscribers += 1;\n    if (!state) {\n      scope = effectScope(true);\n      state = scope.run(() => composable(...args));\n    }\n    tryOnScopeDispose(dispose);\n    return state;\n  };\n}\n\nfunction extendRef(ref, extend, { enumerable = false, unwrap = true } = {}) {\n  if (!isVue3 && !version.startsWith(\"2.7.\")) {\n    if (process.env.NODE_ENV !== \"production\")\n      throw new Error(\"[VueUse] extendRef only works in Vue 2.7 or above.\");\n    return;\n  }\n  for (const [key, value] of Object.entries(extend)) {\n    if (key === \"value\")\n      continue;\n    if (isRef(value) && unwrap) {\n      Object.defineProperty(ref, key, {\n        get() {\n          return value.value;\n        },\n        set(v) {\n          value.value = v;\n        },\n        enumerable\n      });\n    } else {\n      Object.defineProperty(ref, key, { value, enumerable });\n    }\n  }\n  return ref;\n}\n\nfunction get(obj, key) {\n  if (key == null)\n    return unref(obj);\n  return unref(obj)[key];\n}\n\nfunction isDefined(v) {\n  return unref(v) != null;\n}\n\nfunction makeDestructurable(obj, arr) {\n  if (typeof Symbol !== \"undefined\") {\n    const clone = { ...obj };\n    Object.defineProperty(clone, Symbol.iterator, {\n      enumerable: false,\n      value() {\n        let index = 0;\n        return {\n          next: () => ({\n            value: arr[index++],\n            done: index > arr.length\n          })\n        };\n      }\n    });\n    return clone;\n  } else {\n    return Object.assign([...arr], obj);\n  }\n}\n\nfunction toValue(r) {\n  return typeof r === \"function\" ? r() : unref(r);\n}\nconst resolveUnref = toValue;\n\nfunction reactify(fn, options) {\n  const unrefFn = (options == null ? void 0 : options.computedGetter) === false ? unref : toValue;\n  return function(...args) {\n    return computed(() => fn.apply(this, args.map((i) => unrefFn(i))));\n  };\n}\n\nfunction reactifyObject(obj, optionsOrKeys = {}) {\n  let keys = [];\n  let options;\n  if (Array.isArray(optionsOrKeys)) {\n    keys = optionsOrKeys;\n  } else {\n    options = optionsOrKeys;\n    const { includeOwnProperties = true } = optionsOrKeys;\n    keys.push(...Object.keys(obj));\n    if (includeOwnProperties)\n      keys.push(...Object.getOwnPropertyNames(obj));\n  }\n  return Object.fromEntries(\n    keys.map((key) => {\n      const value = obj[key];\n      return [\n        key,\n        typeof value === \"function\" ? reactify(value.bind(obj), options) : value\n      ];\n    })\n  );\n}\n\nfunction toReactive(objectRef) {\n  if (!isRef(objectRef))\n    return reactive(objectRef);\n  const proxy = new Proxy({}, {\n    get(_, p, receiver) {\n      return unref(Reflect.get(objectRef.value, p, receiver));\n    },\n    set(_, p, value) {\n      if (isRef(objectRef.value[p]) && !isRef(value))\n        objectRef.value[p].value = value;\n      else\n        objectRef.value[p] = value;\n      return true;\n    },\n    deleteProperty(_, p) {\n      return Reflect.deleteProperty(objectRef.value, p);\n    },\n    has(_, p) {\n      return Reflect.has(objectRef.value, p);\n    },\n    ownKeys() {\n      return Object.keys(objectRef.value);\n    },\n    getOwnPropertyDescriptor() {\n      return {\n        enumerable: true,\n        configurable: true\n      };\n    }\n  });\n  return reactive(proxy);\n}\n\nfunction reactiveComputed(fn) {\n  return toReactive(computed(fn));\n}\n\nfunction reactiveOmit(obj, ...keys) {\n  const flatKeys = keys.flat();\n  const predicate = flatKeys[0];\n  return reactiveComputed(() => typeof predicate === \"function\" ? Object.fromEntries(Object.entries(toRefs$1(obj)).filter(([k, v]) => !predicate(toValue(v), k))) : Object.fromEntries(Object.entries(toRefs$1(obj)).filter((e) => !flatKeys.includes(e[0]))));\n}\n\nconst isClient = typeof window !== \"undefined\" && typeof document !== \"undefined\";\nconst isWorker = typeof WorkerGlobalScope !== \"undefined\" && globalThis instanceof WorkerGlobalScope;\nconst isDef = (val) => typeof val !== \"undefined\";\nconst notNullish = (val) => val != null;\nconst assert = (condition, ...infos) => {\n  if (!condition)\n    console.warn(...infos);\n};\nconst toString = Object.prototype.toString;\nconst isObject = (val) => toString.call(val) === \"[object Object]\";\nconst now = () => Date.now();\nconst timestamp = () => +Date.now();\nconst clamp = (n, min, max) => Math.min(max, Math.max(min, n));\nconst noop = () => {\n};\nconst rand = (min, max) => {\n  min = Math.ceil(min);\n  max = Math.floor(max);\n  return Math.floor(Math.random() * (max - min + 1)) + min;\n};\nconst hasOwn = (val, key) => Object.prototype.hasOwnProperty.call(val, key);\nconst isIOS = /* @__PURE__ */ getIsIOS();\nfunction getIsIOS() {\n  var _a, _b;\n  return isClient && ((_a = window == null ? void 0 : window.navigator) == null ? void 0 : _a.userAgent) && (/iP(?:ad|hone|od)/.test(window.navigator.userAgent) || ((_b = window == null ? void 0 : window.navigator) == null ? void 0 : _b.maxTouchPoints) > 2 && /iPad|Macintosh/.test(window == null ? void 0 : window.navigator.userAgent));\n}\n\nfunction createFilterWrapper(filter, fn) {\n  function wrapper(...args) {\n    return new Promise((resolve, reject) => {\n      Promise.resolve(filter(() => fn.apply(this, args), { fn, thisArg: this, args })).then(resolve).catch(reject);\n    });\n  }\n  return wrapper;\n}\nconst bypassFilter = (invoke) => {\n  return invoke();\n};\nfunction debounceFilter(ms, options = {}) {\n  let timer;\n  let maxTimer;\n  let lastRejector = noop;\n  const _clearTimeout = (timer2) => {\n    clearTimeout(timer2);\n    lastRejector();\n    lastRejector = noop;\n  };\n  const filter = (invoke) => {\n    const duration = toValue(ms);\n    const maxDuration = toValue(options.maxWait);\n    if (timer)\n      _clearTimeout(timer);\n    if (duration <= 0 || maxDuration !== void 0 && maxDuration <= 0) {\n      if (maxTimer) {\n        _clearTimeout(maxTimer);\n        maxTimer = null;\n      }\n      return Promise.resolve(invoke());\n    }\n    return new Promise((resolve, reject) => {\n      lastRejector = options.rejectOnCancel ? reject : resolve;\n      if (maxDuration && !maxTimer) {\n        maxTimer = setTimeout(() => {\n          if (timer)\n            _clearTimeout(timer);\n          maxTimer = null;\n          resolve(invoke());\n        }, maxDuration);\n      }\n      timer = setTimeout(() => {\n        if (maxTimer)\n          _clearTimeout(maxTimer);\n        maxTimer = null;\n        resolve(invoke());\n      }, duration);\n    });\n  };\n  return filter;\n}\nfunction throttleFilter(...args) {\n  let lastExec = 0;\n  let timer;\n  let isLeading = true;\n  let lastRejector = noop;\n  let lastValue;\n  let ms;\n  let trailing;\n  let leading;\n  let rejectOnCancel;\n  if (!isRef(args[0]) && typeof args[0] === \"object\")\n    ({ delay: ms, trailing = true, leading = true, rejectOnCancel = false } = args[0]);\n  else\n    [ms, trailing = true, leading = true, rejectOnCancel = false] = args;\n  const clear = () => {\n    if (timer) {\n      clearTimeout(timer);\n      timer = void 0;\n      lastRejector();\n      lastRejector = noop;\n    }\n  };\n  const filter = (_invoke) => {\n    const duration = toValue(ms);\n    const elapsed = Date.now() - lastExec;\n    const invoke = () => {\n      return lastValue = _invoke();\n    };\n    clear();\n    if (duration <= 0) {\n      lastExec = Date.now();\n      return invoke();\n    }\n    if (elapsed > duration && (leading || !isLeading)) {\n      lastExec = Date.now();\n      invoke();\n    } else if (trailing) {\n      lastValue = new Promise((resolve, reject) => {\n        lastRejector = rejectOnCancel ? reject : resolve;\n        timer = setTimeout(() => {\n          lastExec = Date.now();\n          isLeading = true;\n          resolve(invoke());\n          clear();\n        }, Math.max(0, duration - elapsed));\n      });\n    }\n    if (!leading && !timer)\n      timer = setTimeout(() => isLeading = true, duration);\n    isLeading = false;\n    return lastValue;\n  };\n  return filter;\n}\nfunction pausableFilter(extendFilter = bypassFilter) {\n  const isActive = ref(true);\n  function pause() {\n    isActive.value = false;\n  }\n  function resume() {\n    isActive.value = true;\n  }\n  const eventFilter = (...args) => {\n    if (isActive.value)\n      extendFilter(...args);\n  };\n  return { isActive: readonly(isActive), pause, resume, eventFilter };\n}\n\nconst directiveHooks = {\n  mounted: isVue3 ? \"mounted\" : \"inserted\",\n  updated: isVue3 ? \"updated\" : \"componentUpdated\",\n  unmounted: isVue3 ? \"unmounted\" : \"unbind\"\n};\n\nfunction cacheStringFunction(fn) {\n  const cache = /* @__PURE__ */ Object.create(null);\n  return (str) => {\n    const hit = cache[str];\n    return hit || (cache[str] = fn(str));\n  };\n}\nconst hyphenateRE = /\\B([A-Z])/g;\nconst hyphenate = cacheStringFunction((str) => str.replace(hyphenateRE, \"-$1\").toLowerCase());\nconst camelizeRE = /-(\\w)/g;\nconst camelize = cacheStringFunction((str) => {\n  return str.replace(camelizeRE, (_, c) => c ? c.toUpperCase() : \"\");\n});\n\nfunction promiseTimeout(ms, throwOnTimeout = false, reason = \"Timeout\") {\n  return new Promise((resolve, reject) => {\n    if (throwOnTimeout)\n      setTimeout(() => reject(reason), ms);\n    else\n      setTimeout(resolve, ms);\n  });\n}\nfunction identity(arg) {\n  return arg;\n}\nfunction createSingletonPromise(fn) {\n  let _promise;\n  function wrapper() {\n    if (!_promise)\n      _promise = fn();\n    return _promise;\n  }\n  wrapper.reset = async () => {\n    const _prev = _promise;\n    _promise = void 0;\n    if (_prev)\n      await _prev;\n  };\n  return wrapper;\n}\nfunction invoke(fn) {\n  return fn();\n}\nfunction containsProp(obj, ...props) {\n  return props.some((k) => k in obj);\n}\nfunction increaseWithUnit(target, delta) {\n  var _a;\n  if (typeof target === \"number\")\n    return target + delta;\n  const value = ((_a = target.match(/^-?\\d+\\.?\\d*/)) == null ? void 0 : _a[0]) || \"\";\n  const unit = target.slice(value.length);\n  const result = Number.parseFloat(value) + delta;\n  if (Number.isNaN(result))\n    return target;\n  return result + unit;\n}\nfunction objectPick(obj, keys, omitUndefined = false) {\n  return keys.reduce((n, k) => {\n    if (k in obj) {\n      if (!omitUndefined || obj[k] !== void 0)\n        n[k] = obj[k];\n    }\n    return n;\n  }, {});\n}\nfunction objectOmit(obj, keys, omitUndefined = false) {\n  return Object.fromEntries(Object.entries(obj).filter(([key, value]) => {\n    return (!omitUndefined || value !== void 0) && !keys.includes(key);\n  }));\n}\nfunction objectEntries(obj) {\n  return Object.entries(obj);\n}\nfunction getLifeCycleTarget(target) {\n  return target || getCurrentInstance();\n}\n\nfunction toRef(...args) {\n  if (args.length !== 1)\n    return toRef$1(...args);\n  const r = args[0];\n  return typeof r === \"function\" ? readonly(customRef(() => ({ get: r, set: noop }))) : ref(r);\n}\nconst resolveRef = toRef;\n\nfunction reactivePick(obj, ...keys) {\n  const flatKeys = keys.flat();\n  const predicate = flatKeys[0];\n  return reactiveComputed(() => typeof predicate === \"function\" ? Object.fromEntries(Object.entries(toRefs$1(obj)).filter(([k, v]) => predicate(toValue(v), k))) : Object.fromEntries(flatKeys.map((k) => [k, toRef(obj, k)])));\n}\n\nfunction refAutoReset(defaultValue, afterMs = 1e4) {\n  return customRef((track, trigger) => {\n    let value = toValue(defaultValue);\n    let timer;\n    const resetAfter = () => setTimeout(() => {\n      value = toValue(defaultValue);\n      trigger();\n    }, toValue(afterMs));\n    tryOnScopeDispose(() => {\n      clearTimeout(timer);\n    });\n    return {\n      get() {\n        track();\n        return value;\n      },\n      set(newValue) {\n        value = newValue;\n        trigger();\n        clearTimeout(timer);\n        timer = resetAfter();\n      }\n    };\n  });\n}\n\nfunction useDebounceFn(fn, ms = 200, options = {}) {\n  return createFilterWrapper(\n    debounceFilter(ms, options),\n    fn\n  );\n}\n\nfunction refDebounced(value, ms = 200, options = {}) {\n  const debounced = ref(value.value);\n  const updater = useDebounceFn(() => {\n    debounced.value = value.value;\n  }, ms, options);\n  watch(value, () => updater());\n  return debounced;\n}\n\nfunction refDefault(source, defaultValue) {\n  return computed({\n    get() {\n      var _a;\n      return (_a = source.value) != null ? _a : defaultValue;\n    },\n    set(value) {\n      source.value = value;\n    }\n  });\n}\n\nfunction useThrottleFn(fn, ms = 200, trailing = false, leading = true, rejectOnCancel = false) {\n  return createFilterWrapper(\n    throttleFilter(ms, trailing, leading, rejectOnCancel),\n    fn\n  );\n}\n\nfunction refThrottled(value, delay = 200, trailing = true, leading = true) {\n  if (delay <= 0)\n    return value;\n  const throttled = ref(value.value);\n  const updater = useThrottleFn(() => {\n    throttled.value = value.value;\n  }, delay, trailing, leading);\n  watch(value, () => updater());\n  return throttled;\n}\n\nfunction refWithControl(initial, options = {}) {\n  let source = initial;\n  let track;\n  let trigger;\n  const ref = customRef((_track, _trigger) => {\n    track = _track;\n    trigger = _trigger;\n    return {\n      get() {\n        return get();\n      },\n      set(v) {\n        set(v);\n      }\n    };\n  });\n  function get(tracking = true) {\n    if (tracking)\n      track();\n    return source;\n  }\n  function set(value, triggering = true) {\n    var _a, _b;\n    if (value === source)\n      return;\n    const old = source;\n    if (((_a = options.onBeforeChange) == null ? void 0 : _a.call(options, value, old)) === false)\n      return;\n    source = value;\n    (_b = options.onChanged) == null ? void 0 : _b.call(options, value, old);\n    if (triggering)\n      trigger();\n  }\n  const untrackedGet = () => get(false);\n  const silentSet = (v) => set(v, false);\n  const peek = () => get(false);\n  const lay = (v) => set(v, false);\n  return extendRef(\n    ref,\n    {\n      get,\n      set,\n      untrackedGet,\n      silentSet,\n      peek,\n      lay\n    },\n    { enumerable: true }\n  );\n}\nconst controlledRef = refWithControl;\n\nfunction set(...args) {\n  if (args.length === 2) {\n    const [ref, value] = args;\n    ref.value = value;\n  }\n  if (args.length === 3) {\n    if (isVue2) {\n      set$1(...args);\n    } else {\n      const [target, key, value] = args;\n      target[key] = value;\n    }\n  }\n}\n\nfunction watchWithFilter(source, cb, options = {}) {\n  const {\n    eventFilter = bypassFilter,\n    ...watchOptions\n  } = options;\n  return watch(\n    source,\n    createFilterWrapper(\n      eventFilter,\n      cb\n    ),\n    watchOptions\n  );\n}\n\nfunction watchPausable(source, cb, options = {}) {\n  const {\n    eventFilter: filter,\n    ...watchOptions\n  } = options;\n  const { eventFilter, pause, resume, isActive } = pausableFilter(filter);\n  const stop = watchWithFilter(\n    source,\n    cb,\n    {\n      ...watchOptions,\n      eventFilter\n    }\n  );\n  return { stop, pause, resume, isActive };\n}\n\nfunction syncRef(left, right, ...[options]) {\n  const {\n    flush = \"sync\",\n    deep = false,\n    immediate = true,\n    direction = \"both\",\n    transform = {}\n  } = options || {};\n  const watchers = [];\n  const transformLTR = \"ltr\" in transform && transform.ltr || ((v) => v);\n  const transformRTL = \"rtl\" in transform && transform.rtl || ((v) => v);\n  if (direction === \"both\" || direction === \"ltr\") {\n    watchers.push(watchPausable(\n      left,\n      (newValue) => {\n        watchers.forEach((w) => w.pause());\n        right.value = transformLTR(newValue);\n        watchers.forEach((w) => w.resume());\n      },\n      { flush, deep, immediate }\n    ));\n  }\n  if (direction === \"both\" || direction === \"rtl\") {\n    watchers.push(watchPausable(\n      right,\n      (newValue) => {\n        watchers.forEach((w) => w.pause());\n        left.value = transformRTL(newValue);\n        watchers.forEach((w) => w.resume());\n      },\n      { flush, deep, immediate }\n    ));\n  }\n  const stop = () => {\n    watchers.forEach((w) => w.stop());\n  };\n  return stop;\n}\n\nfunction syncRefs(source, targets, options = {}) {\n  const {\n    flush = \"sync\",\n    deep = false,\n    immediate = true\n  } = options;\n  if (!Array.isArray(targets))\n    targets = [targets];\n  return watch(\n    source,\n    (newValue) => targets.forEach((target) => target.value = newValue),\n    { flush, deep, immediate }\n  );\n}\n\nfunction toRefs(objectRef, options = {}) {\n  if (!isRef(objectRef))\n    return toRefs$1(objectRef);\n  const result = Array.isArray(objectRef.value) ? Array.from({ length: objectRef.value.length }) : {};\n  for (const key in objectRef.value) {\n    result[key] = customRef(() => ({\n      get() {\n        return objectRef.value[key];\n      },\n      set(v) {\n        var _a;\n        const replaceRef = (_a = toValue(options.replaceRef)) != null ? _a : true;\n        if (replaceRef) {\n          if (Array.isArray(objectRef.value)) {\n            const copy = [...objectRef.value];\n            copy[key] = v;\n            objectRef.value = copy;\n          } else {\n            const newObject = { ...objectRef.value, [key]: v };\n            Object.setPrototypeOf(newObject, Object.getPrototypeOf(objectRef.value));\n            objectRef.value = newObject;\n          }\n        } else {\n          objectRef.value[key] = v;\n        }\n      }\n    }));\n  }\n  return result;\n}\n\nfunction tryOnBeforeMount(fn, sync = true, target) {\n  const instance = getLifeCycleTarget(target);\n  if (instance)\n    onBeforeMount(fn, target);\n  else if (sync)\n    fn();\n  else\n    nextTick(fn);\n}\n\nfunction tryOnBeforeUnmount(fn, target) {\n  const instance = getLifeCycleTarget(target);\n  if (instance)\n    onBeforeUnmount(fn, target);\n}\n\nfunction tryOnMounted(fn, sync = true, target) {\n  const instance = getLifeCycleTarget();\n  if (instance)\n    onMounted(fn, target);\n  else if (sync)\n    fn();\n  else\n    nextTick(fn);\n}\n\nfunction tryOnUnmounted(fn, target) {\n  const instance = getLifeCycleTarget(target);\n  if (instance)\n    onUnmounted(fn, target);\n}\n\nfunction createUntil(r, isNot = false) {\n  function toMatch(condition, { flush = \"sync\", deep = false, timeout, throwOnTimeout } = {}) {\n    let stop = null;\n    const watcher = new Promise((resolve) => {\n      stop = watch(\n        r,\n        (v) => {\n          if (condition(v) !== isNot) {\n            if (stop)\n              stop();\n            else\n              nextTick(() => stop == null ? void 0 : stop());\n            resolve(v);\n          }\n        },\n        {\n          flush,\n          deep,\n          immediate: true\n        }\n      );\n    });\n    const promises = [watcher];\n    if (timeout != null) {\n      promises.push(\n        promiseTimeout(timeout, throwOnTimeout).then(() => toValue(r)).finally(() => stop == null ? void 0 : stop())\n      );\n    }\n    return Promise.race(promises);\n  }\n  function toBe(value, options) {\n    if (!isRef(value))\n      return toMatch((v) => v === value, options);\n    const { flush = \"sync\", deep = false, timeout, throwOnTimeout } = options != null ? options : {};\n    let stop = null;\n    const watcher = new Promise((resolve) => {\n      stop = watch(\n        [r, value],\n        ([v1, v2]) => {\n          if (isNot !== (v1 === v2)) {\n            if (stop)\n              stop();\n            else\n              nextTick(() => stop == null ? void 0 : stop());\n            resolve(v1);\n          }\n        },\n        {\n          flush,\n          deep,\n          immediate: true\n        }\n      );\n    });\n    const promises = [watcher];\n    if (timeout != null) {\n      promises.push(\n        promiseTimeout(timeout, throwOnTimeout).then(() => toValue(r)).finally(() => {\n          stop == null ? void 0 : stop();\n          return toValue(r);\n        })\n      );\n    }\n    return Promise.race(promises);\n  }\n  function toBeTruthy(options) {\n    return toMatch((v) => Boolean(v), options);\n  }\n  function toBeNull(options) {\n    return toBe(null, options);\n  }\n  function toBeUndefined(options) {\n    return toBe(void 0, options);\n  }\n  function toBeNaN(options) {\n    return toMatch(Number.isNaN, options);\n  }\n  function toContains(value, options) {\n    return toMatch((v) => {\n      const array = Array.from(v);\n      return array.includes(value) || array.includes(toValue(value));\n    }, options);\n  }\n  function changed(options) {\n    return changedTimes(1, options);\n  }\n  function changedTimes(n = 1, options) {\n    let count = -1;\n    return toMatch(() => {\n      count += 1;\n      return count >= n;\n    }, options);\n  }\n  if (Array.isArray(toValue(r))) {\n    const instance = {\n      toMatch,\n      toContains,\n      changed,\n      changedTimes,\n      get not() {\n        return createUntil(r, !isNot);\n      }\n    };\n    return instance;\n  } else {\n    const instance = {\n      toMatch,\n      toBe,\n      toBeTruthy,\n      toBeNull,\n      toBeNaN,\n      toBeUndefined,\n      changed,\n      changedTimes,\n      get not() {\n        return createUntil(r, !isNot);\n      }\n    };\n    return instance;\n  }\n}\nfunction until(r) {\n  return createUntil(r);\n}\n\nfunction defaultComparator(value, othVal) {\n  return value === othVal;\n}\nfunction useArrayDifference(...args) {\n  var _a;\n  const list = args[0];\n  const values = args[1];\n  let compareFn = (_a = args[2]) != null ? _a : defaultComparator;\n  if (typeof compareFn === \"string\") {\n    const key = compareFn;\n    compareFn = (value, othVal) => value[key] === othVal[key];\n  }\n  return computed(() => toValue(list).filter((x) => toValue(values).findIndex((y) => compareFn(x, y)) === -1));\n}\n\nfunction useArrayEvery(list, fn) {\n  return computed(() => toValue(list).every((element, index, array) => fn(toValue(element), index, array)));\n}\n\nfunction useArrayFilter(list, fn) {\n  return computed(() => toValue(list).map((i) => toValue(i)).filter(fn));\n}\n\nfunction useArrayFind(list, fn) {\n  return computed(() => toValue(\n    toValue(list).find((element, index, array) => fn(toValue(element), index, array))\n  ));\n}\n\nfunction useArrayFindIndex(list, fn) {\n  return computed(() => toValue(list).findIndex((element, index, array) => fn(toValue(element), index, array)));\n}\n\nfunction findLast(arr, cb) {\n  let index = arr.length;\n  while (index-- > 0) {\n    if (cb(arr[index], index, arr))\n      return arr[index];\n  }\n  return void 0;\n}\nfunction useArrayFindLast(list, fn) {\n  return computed(() => toValue(\n    !Array.prototype.findLast ? findLast(toValue(list), (element, index, array) => fn(toValue(element), index, array)) : toValue(list).findLast((element, index, array) => fn(toValue(element), index, array))\n  ));\n}\n\nfunction isArrayIncludesOptions(obj) {\n  return isObject(obj) && containsProp(obj, \"formIndex\", \"comparator\");\n}\nfunction useArrayIncludes(...args) {\n  var _a;\n  const list = args[0];\n  const value = args[1];\n  let comparator = args[2];\n  let formIndex = 0;\n  if (isArrayIncludesOptions(comparator)) {\n    formIndex = (_a = comparator.fromIndex) != null ? _a : 0;\n    comparator = comparator.comparator;\n  }\n  if (typeof comparator === \"string\") {\n    const key = comparator;\n    comparator = (element, value2) => element[key] === toValue(value2);\n  }\n  comparator = comparator != null ? comparator : (element, value2) => element === toValue(value2);\n  return computed(() => toValue(list).slice(formIndex).some((element, index, array) => comparator(\n    toValue(element),\n    toValue(value),\n    index,\n    toValue(array)\n  )));\n}\n\nfunction useArrayJoin(list, separator) {\n  return computed(() => toValue(list).map((i) => toValue(i)).join(toValue(separator)));\n}\n\nfunction useArrayMap(list, fn) {\n  return computed(() => toValue(list).map((i) => toValue(i)).map(fn));\n}\n\nfunction useArrayReduce(list, reducer, ...args) {\n  const reduceCallback = (sum, value, index) => reducer(toValue(sum), toValue(value), index);\n  return computed(() => {\n    const resolved = toValue(list);\n    return args.length ? resolved.reduce(reduceCallback, toValue(args[0])) : resolved.reduce(reduceCallback);\n  });\n}\n\nfunction useArraySome(list, fn) {\n  return computed(() => toValue(list).some((element, index, array) => fn(toValue(element), index, array)));\n}\n\nfunction uniq(array) {\n  return Array.from(new Set(array));\n}\nfunction uniqueElementsBy(array, fn) {\n  return array.reduce((acc, v) => {\n    if (!acc.some((x) => fn(v, x, array)))\n      acc.push(v);\n    return acc;\n  }, []);\n}\nfunction useArrayUnique(list, compareFn) {\n  return computed(() => {\n    const resolvedList = toValue(list).map((element) => toValue(element));\n    return compareFn ? uniqueElementsBy(resolvedList, compareFn) : uniq(resolvedList);\n  });\n}\n\nfunction useCounter(initialValue = 0, options = {}) {\n  let _initialValue = unref(initialValue);\n  const count = ref(initialValue);\n  const {\n    max = Number.POSITIVE_INFINITY,\n    min = Number.NEGATIVE_INFINITY\n  } = options;\n  const inc = (delta = 1) => count.value = Math.max(Math.min(max, count.value + delta), min);\n  const dec = (delta = 1) => count.value = Math.min(Math.max(min, count.value - delta), max);\n  const get = () => count.value;\n  const set = (val) => count.value = Math.max(min, Math.min(max, val));\n  const reset = (val = _initialValue) => {\n    _initialValue = val;\n    return set(val);\n  };\n  return { count, inc, dec, get, set, reset };\n}\n\nconst REGEX_PARSE = /^(\\d{4})[-/]?(\\d{1,2})?[-/]?(\\d{0,2})[T\\s]*(\\d{1,2})?:?(\\d{1,2})?:?(\\d{1,2})?[.:]?(\\d+)?$/i;\nconst REGEX_FORMAT = /[YMDHhms]o|\\[([^\\]]+)\\]|Y{1,4}|M{1,4}|D{1,2}|d{1,4}|H{1,2}|h{1,2}|a{1,2}|A{1,2}|m{1,2}|s{1,2}|Z{1,2}|SSS/g;\nfunction defaultMeridiem(hours, minutes, isLowercase, hasPeriod) {\n  let m = hours < 12 ? \"AM\" : \"PM\";\n  if (hasPeriod)\n    m = m.split(\"\").reduce((acc, curr) => acc += `${curr}.`, \"\");\n  return isLowercase ? m.toLowerCase() : m;\n}\nfunction formatOrdinal(num) {\n  const suffixes = [\"th\", \"st\", \"nd\", \"rd\"];\n  const v = num % 100;\n  return num + (suffixes[(v - 20) % 10] || suffixes[v] || suffixes[0]);\n}\nfunction formatDate(date, formatStr, options = {}) {\n  var _a;\n  const years = date.getFullYear();\n  const month = date.getMonth();\n  const days = date.getDate();\n  const hours = date.getHours();\n  const minutes = date.getMinutes();\n  const seconds = date.getSeconds();\n  const milliseconds = date.getMilliseconds();\n  const day = date.getDay();\n  const meridiem = (_a = options.customMeridiem) != null ? _a : defaultMeridiem;\n  const matches = {\n    Yo: () => formatOrdinal(years),\n    YY: () => String(years).slice(-2),\n    YYYY: () => years,\n    M: () => month + 1,\n    Mo: () => formatOrdinal(month + 1),\n    MM: () => `${month + 1}`.padStart(2, \"0\"),\n    MMM: () => date.toLocaleDateString(toValue(options.locales), { month: \"short\" }),\n    MMMM: () => date.toLocaleDateString(toValue(options.locales), { month: \"long\" }),\n    D: () => String(days),\n    Do: () => formatOrdinal(days),\n    DD: () => `${days}`.padStart(2, \"0\"),\n    H: () => String(hours),\n    Ho: () => formatOrdinal(hours),\n    HH: () => `${hours}`.padStart(2, \"0\"),\n    h: () => `${hours % 12 || 12}`.padStart(1, \"0\"),\n    ho: () => formatOrdinal(hours % 12 || 12),\n    hh: () => `${hours % 12 || 12}`.padStart(2, \"0\"),\n    m: () => String(minutes),\n    mo: () => formatOrdinal(minutes),\n    mm: () => `${minutes}`.padStart(2, \"0\"),\n    s: () => String(seconds),\n    so: () => formatOrdinal(seconds),\n    ss: () => `${seconds}`.padStart(2, \"0\"),\n    SSS: () => `${milliseconds}`.padStart(3, \"0\"),\n    d: () => day,\n    dd: () => date.toLocaleDateString(toValue(options.locales), { weekday: \"narrow\" }),\n    ddd: () => date.toLocaleDateString(toValue(options.locales), { weekday: \"short\" }),\n    dddd: () => date.toLocaleDateString(toValue(options.locales), { weekday: \"long\" }),\n    A: () => meridiem(hours, minutes),\n    AA: () => meridiem(hours, minutes, false, true),\n    a: () => meridiem(hours, minutes, true),\n    aa: () => meridiem(hours, minutes, true, true)\n  };\n  return formatStr.replace(REGEX_FORMAT, (match, $1) => {\n    var _a2, _b;\n    return (_b = $1 != null ? $1 : (_a2 = matches[match]) == null ? void 0 : _a2.call(matches)) != null ? _b : match;\n  });\n}\nfunction normalizeDate(date) {\n  if (date === null)\n    return new Date(Number.NaN);\n  if (date === void 0)\n    return /* @__PURE__ */ new Date();\n  if (date instanceof Date)\n    return new Date(date);\n  if (typeof date === \"string\" && !/Z$/i.test(date)) {\n    const d = date.match(REGEX_PARSE);\n    if (d) {\n      const m = d[2] - 1 || 0;\n      const ms = (d[7] || \"0\").substring(0, 3);\n      return new Date(d[1], m, d[3] || 1, d[4] || 0, d[5] || 0, d[6] || 0, ms);\n    }\n  }\n  return new Date(date);\n}\nfunction useDateFormat(date, formatStr = \"HH:mm:ss\", options = {}) {\n  return computed(() => formatDate(normalizeDate(toValue(date)), toValue(formatStr), options));\n}\n\nfunction useIntervalFn(cb, interval = 1e3, options = {}) {\n  const {\n    immediate = true,\n    immediateCallback = false\n  } = options;\n  let timer = null;\n  const isActive = ref(false);\n  function clean() {\n    if (timer) {\n      clearInterval(timer);\n      timer = null;\n    }\n  }\n  function pause() {\n    isActive.value = false;\n    clean();\n  }\n  function resume() {\n    const intervalValue = toValue(interval);\n    if (intervalValue <= 0)\n      return;\n    isActive.value = true;\n    if (immediateCallback)\n      cb();\n    clean();\n    timer = setInterval(cb, intervalValue);\n  }\n  if (immediate && isClient)\n    resume();\n  if (isRef(interval) || typeof interval === \"function\") {\n    const stopWatch = watch(interval, () => {\n      if (isActive.value && isClient)\n        resume();\n    });\n    tryOnScopeDispose(stopWatch);\n  }\n  tryOnScopeDispose(pause);\n  return {\n    isActive,\n    pause,\n    resume\n  };\n}\n\nfunction useInterval(interval = 1e3, options = {}) {\n  const {\n    controls: exposeControls = false,\n    immediate = true,\n    callback\n  } = options;\n  const counter = ref(0);\n  const update = () => counter.value += 1;\n  const reset = () => {\n    counter.value = 0;\n  };\n  const controls = useIntervalFn(\n    callback ? () => {\n      update();\n      callback(counter.value);\n    } : update,\n    interval,\n    { immediate }\n  );\n  if (exposeControls) {\n    return {\n      counter,\n      reset,\n      ...controls\n    };\n  } else {\n    return counter;\n  }\n}\n\nfunction useLastChanged(source, options = {}) {\n  var _a;\n  const ms = ref((_a = options.initialValue) != null ? _a : null);\n  watch(\n    source,\n    () => ms.value = timestamp(),\n    options\n  );\n  return ms;\n}\n\nfunction useTimeoutFn(cb, interval, options = {}) {\n  const {\n    immediate = true\n  } = options;\n  const isPending = ref(false);\n  let timer = null;\n  function clear() {\n    if (timer) {\n      clearTimeout(timer);\n      timer = null;\n    }\n  }\n  function stop() {\n    isPending.value = false;\n    clear();\n  }\n  function start(...args) {\n    clear();\n    isPending.value = true;\n    timer = setTimeout(() => {\n      isPending.value = false;\n      timer = null;\n      cb(...args);\n    }, toValue(interval));\n  }\n  if (immediate) {\n    isPending.value = true;\n    if (isClient)\n      start();\n  }\n  tryOnScopeDispose(stop);\n  return {\n    isPending: readonly(isPending),\n    start,\n    stop\n  };\n}\n\nfunction useTimeout(interval = 1e3, options = {}) {\n  const {\n    controls: exposeControls = false,\n    callback\n  } = options;\n  const controls = useTimeoutFn(\n    callback != null ? callback : noop,\n    interval,\n    options\n  );\n  const ready = computed(() => !controls.isPending.value);\n  if (exposeControls) {\n    return {\n      ready,\n      ...controls\n    };\n  } else {\n    return ready;\n  }\n}\n\nfunction useToNumber(value, options = {}) {\n  const {\n    method = \"parseFloat\",\n    radix,\n    nanToZero\n  } = options;\n  return computed(() => {\n    let resolved = toValue(value);\n    if (typeof resolved === \"string\")\n      resolved = Number[method](resolved, radix);\n    if (nanToZero && Number.isNaN(resolved))\n      resolved = 0;\n    return resolved;\n  });\n}\n\nfunction useToString(value) {\n  return computed(() => `${toValue(value)}`);\n}\n\nfunction useToggle(initialValue = false, options = {}) {\n  const {\n    truthyValue = true,\n    falsyValue = false\n  } = options;\n  const valueIsRef = isRef(initialValue);\n  const _value = ref(initialValue);\n  function toggle(value) {\n    if (arguments.length) {\n      _value.value = value;\n      return _value.value;\n    } else {\n      const truthy = toValue(truthyValue);\n      _value.value = _value.value === truthy ? toValue(falsyValue) : truthy;\n      return _value.value;\n    }\n  }\n  if (valueIsRef)\n    return toggle;\n  else\n    return [_value, toggle];\n}\n\nfunction watchArray(source, cb, options) {\n  let oldList = (options == null ? void 0 : options.immediate) ? [] : [...source instanceof Function ? source() : Array.isArray(source) ? source : toValue(source)];\n  return watch(source, (newList, _, onCleanup) => {\n    const oldListRemains = Array.from({ length: oldList.length });\n    const added = [];\n    for (const obj of newList) {\n      let found = false;\n      for (let i = 0; i < oldList.length; i++) {\n        if (!oldListRemains[i] && obj === oldList[i]) {\n          oldListRemains[i] = true;\n          found = true;\n          break;\n        }\n      }\n      if (!found)\n        added.push(obj);\n    }\n    const removed = oldList.filter((_2, i) => !oldListRemains[i]);\n    cb(newList, oldList, added, removed, onCleanup);\n    oldList = [...newList];\n  }, options);\n}\n\nfunction watchAtMost(source, cb, options) {\n  const {\n    count,\n    ...watchOptions\n  } = options;\n  const current = ref(0);\n  const stop = watchWithFilter(\n    source,\n    (...args) => {\n      current.value += 1;\n      if (current.value >= toValue(count))\n        nextTick(() => stop());\n      cb(...args);\n    },\n    watchOptions\n  );\n  return { count: current, stop };\n}\n\nfunction watchDebounced(source, cb, options = {}) {\n  const {\n    debounce = 0,\n    maxWait = void 0,\n    ...watchOptions\n  } = options;\n  return watchWithFilter(\n    source,\n    cb,\n    {\n      ...watchOptions,\n      eventFilter: debounceFilter(debounce, { maxWait })\n    }\n  );\n}\n\nfunction watchDeep(source, cb, options) {\n  return watch(\n    source,\n    cb,\n    {\n      ...options,\n      deep: true\n    }\n  );\n}\n\nfunction watchIgnorable(source, cb, options = {}) {\n  const {\n    eventFilter = bypassFilter,\n    ...watchOptions\n  } = options;\n  const filteredCb = createFilterWrapper(\n    eventFilter,\n    cb\n  );\n  let ignoreUpdates;\n  let ignorePrevAsyncUpdates;\n  let stop;\n  if (watchOptions.flush === \"sync\") {\n    const ignore = ref(false);\n    ignorePrevAsyncUpdates = () => {\n    };\n    ignoreUpdates = (updater) => {\n      ignore.value = true;\n      updater();\n      ignore.value = false;\n    };\n    stop = watch(\n      source,\n      (...args) => {\n        if (!ignore.value)\n          filteredCb(...args);\n      },\n      watchOptions\n    );\n  } else {\n    const disposables = [];\n    const ignoreCounter = ref(0);\n    const syncCounter = ref(0);\n    ignorePrevAsyncUpdates = () => {\n      ignoreCounter.value = syncCounter.value;\n    };\n    disposables.push(\n      watch(\n        source,\n        () => {\n          syncCounter.value++;\n        },\n        { ...watchOptions, flush: \"sync\" }\n      )\n    );\n    ignoreUpdates = (updater) => {\n      const syncCounterPrev = syncCounter.value;\n      updater();\n      ignoreCounter.value += syncCounter.value - syncCounterPrev;\n    };\n    disposables.push(\n      watch(\n        source,\n        (...args) => {\n          const ignore = ignoreCounter.value > 0 && ignoreCounter.value === syncCounter.value;\n          ignoreCounter.value = 0;\n          syncCounter.value = 0;\n          if (ignore)\n            return;\n          filteredCb(...args);\n        },\n        watchOptions\n      )\n    );\n    stop = () => {\n      disposables.forEach((fn) => fn());\n    };\n  }\n  return { stop, ignoreUpdates, ignorePrevAsyncUpdates };\n}\n\nfunction watchImmediate(source, cb, options) {\n  return watch(\n    source,\n    cb,\n    {\n      ...options,\n      immediate: true\n    }\n  );\n}\n\nfunction watchOnce(source, cb, options) {\n  const stop = watch(source, (...args) => {\n    nextTick(() => stop());\n    return cb(...args);\n  }, options);\n  return stop;\n}\n\nfunction watchThrottled(source, cb, options = {}) {\n  const {\n    throttle = 0,\n    trailing = true,\n    leading = true,\n    ...watchOptions\n  } = options;\n  return watchWithFilter(\n    source,\n    cb,\n    {\n      ...watchOptions,\n      eventFilter: throttleFilter(throttle, trailing, leading)\n    }\n  );\n}\n\nfunction watchTriggerable(source, cb, options = {}) {\n  let cleanupFn;\n  function onEffect() {\n    if (!cleanupFn)\n      return;\n    const fn = cleanupFn;\n    cleanupFn = void 0;\n    fn();\n  }\n  function onCleanup(callback) {\n    cleanupFn = callback;\n  }\n  const _cb = (value, oldValue) => {\n    onEffect();\n    return cb(value, oldValue, onCleanup);\n  };\n  const res = watchIgnorable(source, _cb, options);\n  const { ignoreUpdates } = res;\n  const trigger = () => {\n    let res2;\n    ignoreUpdates(() => {\n      res2 = _cb(getWatchSources(source), getOldValue(source));\n    });\n    return res2;\n  };\n  return {\n    ...res,\n    trigger\n  };\n}\nfunction getWatchSources(sources) {\n  if (isReactive(sources))\n    return sources;\n  if (Array.isArray(sources))\n    return sources.map((item) => toValue(item));\n  return toValue(sources);\n}\nfunction getOldValue(source) {\n  return Array.isArray(source) ? source.map(() => void 0) : void 0;\n}\n\nfunction whenever(source, cb, options) {\n  const stop = watch(\n    source,\n    (v, ov, onInvalidate) => {\n      if (v) {\n        if (options == null ? void 0 : options.once)\n          nextTick(() => stop());\n        cb(v, ov, onInvalidate);\n      }\n    },\n    {\n      ...options,\n      once: false\n    }\n  );\n  return stop;\n}\n\nexport { assert, refAutoReset as autoResetRef, bypassFilter, camelize, clamp, computedEager, computedWithControl, containsProp, computedWithControl as controlledComputed, controlledRef, createEventHook, createFilterWrapper, createGlobalState, createInjectionState, reactify as createReactiveFn, createSharedComposable, createSingletonPromise, debounceFilter, refDebounced as debouncedRef, watchDebounced as debouncedWatch, directiveHooks, computedEager as eagerComputed, extendRef, formatDate, get, getLifeCycleTarget, hasOwn, hyphenate, identity, watchIgnorable as ignorableWatch, increaseWithUnit, injectLocal, invoke, isClient, isDef, isDefined, isIOS, isObject, isWorker, makeDestructurable, noop, normalizeDate, notNullish, now, objectEntries, objectOmit, objectPick, pausableFilter, watchPausable as pausableWatch, promiseTimeout, provideLocal, rand, reactify, reactifyObject, reactiveComputed, reactiveOmit, reactivePick, refAutoReset, refDebounced, refDefault, refThrottled, refWithControl, resolveRef, resolveUnref, set, syncRef, syncRefs, throttleFilter, refThrottled as throttledRef, watchThrottled as throttledWatch, timestamp, toReactive, toRef, toRefs, toValue, tryOnBeforeMount, tryOnBeforeUnmount, tryOnMounted, tryOnScopeDispose, tryOnUnmounted, until, useArrayDifference, useArrayEvery, useArrayFilter, useArrayFind, useArrayFindIndex, useArrayFindLast, useArrayIncludes, useArrayJoin, useArrayMap, useArrayReduce, useArraySome, useArrayUnique, useCounter, useDateFormat, refDebounced as useDebounce, useDebounceFn, useInterval, useIntervalFn, useLastChanged, refThrottled as useThrottle, useThrottleFn, useTimeout, useTimeoutFn, useToNumber, useToString, useToggle, watchArray, watchAtMost, watchDebounced, watchDeep, watchIgnorable, watchImmediate, watchOnce, watchPausable, watchThrottled, watchTriggerable, watchWithFilter, whenever };\n","import * as Vue from 'vue'\n\nvar isVue2 = false\nvar isVue3 = true\nvar Vue2 = undefined\n\nfunction install() {}\n\nexport function set(target, key, val) {\n  if (Array.isArray(target)) {\n    target.length = Math.max(target.length, key)\n    target.splice(key, 1, val)\n    return val\n  }\n  target[key] = val\n  return val\n}\n\nexport function del(target, key) {\n  if (Array.isArray(target)) {\n    target.splice(key, 1)\n    return\n  }\n  delete target[key]\n}\n\nexport * from 'vue'\nexport {\n  Vue,\n  Vue2,\n  isVue2,\n  isVue3,\n  install,\n}\n","import { noop, makeDestructurable, camelize, toValue, isClient, isObject, tryOnScopeDispose, isIOS, tryOnMounted, notNullish, objectOmit, promiseTimeout, until, increaseWithUnit, objectEntries, createSingletonPromise, useTimeoutFn, pausableWatch, toRef, createEventHook, computedWithControl, timestamp, pausableFilter, watchIgnorable, debounceFilter, createFilterWrapper, bypassFilter, toRefs, useIntervalFn, containsProp, hasOwn, throttleFilter, useDebounceFn, useThrottleFn, clamp, syncRef, objectPick, tryOnUnmounted, watchWithFilter, tryOnBeforeUnmount, identity, isDef, whenever, isWorker } from '@vueuse/shared';\nexport * from '@vueuse/shared';\nimport { isRef, ref, shallowRef, watchEffect, computed, inject, isVue3, version, defineComponent, h, TransitionGroup, shallowReactive, Fragment, watch, getCurrentInstance, customRef, onUpdated, onMounted, isVue2, readonly, reactive, nextTick, markRaw, unref, getCurrentScope, set, del, isReadonly, onBeforeUpdate } from 'vue-demi';\n\nfunction computedAsync(evaluationCallback, initialState, optionsOrRef) {\n  let options;\n  if (isRef(optionsOrRef)) {\n    options = {\n      evaluating: optionsOrRef\n    };\n  } else {\n    options = optionsOrRef || {};\n  }\n  const {\n    lazy = false,\n    evaluating = void 0,\n    shallow = true,\n    onError = noop\n  } = options;\n  const started = ref(!lazy);\n  const current = shallow ? shallowRef(initialState) : ref(initialState);\n  let counter = 0;\n  watchEffect(async (onInvalidate) => {\n    if (!started.value)\n      return;\n    counter++;\n    const counterAtBeginning = counter;\n    let hasFinished = false;\n    if (evaluating) {\n      Promise.resolve().then(() => {\n        evaluating.value = true;\n      });\n    }\n    try {\n      const result = await evaluationCallback((cancelCallback) => {\n        onInvalidate(() => {\n          if (evaluating)\n            evaluating.value = false;\n          if (!hasFinished)\n            cancelCallback();\n        });\n      });\n      if (counterAtBeginning === counter)\n        current.value = result;\n    } catch (e) {\n      onError(e);\n    } finally {\n      if (evaluating && counterAtBeginning === counter)\n        evaluating.value = false;\n      hasFinished = true;\n    }\n  });\n  if (lazy) {\n    return computed(() => {\n      started.value = true;\n      return current.value;\n    });\n  } else {\n    return current;\n  }\n}\n\nfunction computedInject(key, options, defaultSource, treatDefaultAsFactory) {\n  let source = inject(key);\n  if (defaultSource)\n    source = inject(key, defaultSource);\n  if (treatDefaultAsFactory)\n    source = inject(key, defaultSource, treatDefaultAsFactory);\n  if (typeof options === \"function\") {\n    return computed((ctx) => options(source, ctx));\n  } else {\n    return computed({\n      get: (ctx) => options.get(source, ctx),\n      set: options.set\n    });\n  }\n}\n\nfunction createReusableTemplate(options = {}) {\n  if (!isVue3 && !version.startsWith(\"2.7.\")) {\n    if (process.env.NODE_ENV !== \"production\")\n      throw new Error(\"[VueUse] createReusableTemplate only works in Vue 2.7 or above.\");\n    return;\n  }\n  const {\n    inheritAttrs = true\n  } = options;\n  const render = shallowRef();\n  const define = /* #__PURE__ */ defineComponent({\n    setup(_, { slots }) {\n      return () => {\n        render.value = slots.default;\n      };\n    }\n  });\n  const reuse = /* #__PURE__ */ defineComponent({\n    inheritAttrs,\n    setup(_, { attrs, slots }) {\n      return () => {\n        var _a;\n        if (!render.value && process.env.NODE_ENV !== \"production\")\n          throw new Error(\"[VueUse] Failed to find the definition of reusable template\");\n        const vnode = (_a = render.value) == null ? void 0 : _a.call(render, { ...keysToCamelKebabCase(attrs), $slots: slots });\n        return inheritAttrs && (vnode == null ? void 0 : vnode.length) === 1 ? vnode[0] : vnode;\n      };\n    }\n  });\n  return makeDestructurable(\n    { define, reuse },\n    [define, reuse]\n  );\n}\nfunction keysToCamelKebabCase(obj) {\n  const newObj = {};\n  for (const key in obj)\n    newObj[camelize(key)] = obj[key];\n  return newObj;\n}\n\nfunction createTemplatePromise(options = {}) {\n  if (!isVue3) {\n    if (process.env.NODE_ENV !== \"production\")\n      throw new Error(\"[VueUse] createTemplatePromise only works in Vue 3 or above.\");\n    return;\n  }\n  let index = 0;\n  const instances = ref([]);\n  function create(...args) {\n    const props = shallowReactive({\n      key: index++,\n      args,\n      promise: void 0,\n      resolve: () => {\n      },\n      reject: () => {\n      },\n      isResolving: false,\n      options\n    });\n    instances.value.push(props);\n    props.promise = new Promise((_resolve, _reject) => {\n      props.resolve = (v) => {\n        props.isResolving = true;\n        return _resolve(v);\n      };\n      props.reject = _reject;\n    }).finally(() => {\n      props.promise = void 0;\n      const index2 = instances.value.indexOf(props);\n      if (index2 !== -1)\n        instances.value.splice(index2, 1);\n    });\n    return props.promise;\n  }\n  function start(...args) {\n    if (options.singleton && instances.value.length > 0)\n      return instances.value[0].promise;\n    return create(...args);\n  }\n  const component = /* #__PURE__ */ defineComponent((_, { slots }) => {\n    const renderList = () => instances.value.map((props) => {\n      var _a;\n      return h(Fragment, { key: props.key }, (_a = slots.default) == null ? void 0 : _a.call(slots, props));\n    });\n    if (options.transition)\n      return () => h(TransitionGroup, options.transition, renderList);\n    return renderList;\n  });\n  component.start = start;\n  return component;\n}\n\nfunction createUnrefFn(fn) {\n  return function(...args) {\n    return fn.apply(this, args.map((i) => toValue(i)));\n  };\n}\n\nfunction unrefElement(elRef) {\n  var _a;\n  const plain = toValue(elRef);\n  return (_a = plain == null ? void 0 : plain.$el) != null ? _a : plain;\n}\n\nconst defaultWindow = isClient ? window : void 0;\nconst defaultDocument = isClient ? window.document : void 0;\nconst defaultNavigator = isClient ? window.navigator : void 0;\nconst defaultLocation = isClient ? window.location : void 0;\n\nfunction useEventListener(...args) {\n  let target;\n  let events;\n  let listeners;\n  let options;\n  if (typeof args[0] === \"string\" || Array.isArray(args[0])) {\n    [events, listeners, options] = args;\n    target = defaultWindow;\n  } else {\n    [target, events, listeners, options] = args;\n  }\n  if (!target)\n    return noop;\n  if (!Array.isArray(events))\n    events = [events];\n  if (!Array.isArray(listeners))\n    listeners = [listeners];\n  const cleanups = [];\n  const cleanup = () => {\n    cleanups.forEach((fn) => fn());\n    cleanups.length = 0;\n  };\n  const register = (el, event, listener, options2) => {\n    el.addEventListener(event, listener, options2);\n    return () => el.removeEventListener(event, listener, options2);\n  };\n  const stopWatch = watch(\n    () => [unrefElement(target), toValue(options)],\n    ([el, options2]) => {\n      cleanup();\n      if (!el)\n        return;\n      const optionsClone = isObject(options2) ? { ...options2 } : options2;\n      cleanups.push(\n        ...events.flatMap((event) => {\n          return listeners.map((listener) => register(el, event, listener, optionsClone));\n        })\n      );\n    },\n    { immediate: true, flush: \"post\" }\n  );\n  const stop = () => {\n    stopWatch();\n    cleanup();\n  };\n  tryOnScopeDispose(stop);\n  return stop;\n}\n\nlet _iOSWorkaround = false;\nfunction onClickOutside(target, handler, options = {}) {\n  const { window = defaultWindow, ignore = [], capture = true, detectIframe = false } = options;\n  if (!window)\n    return noop;\n  if (isIOS && !_iOSWorkaround) {\n    _iOSWorkaround = true;\n    Array.from(window.document.body.children).forEach((el) => el.addEventListener(\"click\", noop));\n    window.document.documentElement.addEventListener(\"click\", noop);\n  }\n  let shouldListen = true;\n  const shouldIgnore = (event) => {\n    return ignore.some((target2) => {\n      if (typeof target2 === \"string\") {\n        return Array.from(window.document.querySelectorAll(target2)).some((el) => el === event.target || event.composedPath().includes(el));\n      } else {\n        const el = unrefElement(target2);\n        return el && (event.target === el || event.composedPath().includes(el));\n      }\n    });\n  };\n  const listener = (event) => {\n    const el = unrefElement(target);\n    if (!el || el === event.target || event.composedPath().includes(el))\n      return;\n    if (event.detail === 0)\n      shouldListen = !shouldIgnore(event);\n    if (!shouldListen) {\n      shouldListen = true;\n      return;\n    }\n    handler(event);\n  };\n  const cleanup = [\n    useEventListener(window, \"click\", listener, { passive: true, capture }),\n    useEventListener(window, \"pointerdown\", (e) => {\n      const el = unrefElement(target);\n      shouldListen = !shouldIgnore(e) && !!(el && !e.composedPath().includes(el));\n    }, { passive: true }),\n    detectIframe && useEventListener(window, \"blur\", (event) => {\n      setTimeout(() => {\n        var _a;\n        const el = unrefElement(target);\n        if (((_a = window.document.activeElement) == null ? void 0 : _a.tagName) === \"IFRAME\" && !(el == null ? void 0 : el.contains(window.document.activeElement))) {\n          handler(event);\n        }\n      }, 0);\n    })\n  ].filter(Boolean);\n  const stop = () => cleanup.forEach((fn) => fn());\n  return stop;\n}\n\nfunction createKeyPredicate(keyFilter) {\n  if (typeof keyFilter === \"function\")\n    return keyFilter;\n  else if (typeof keyFilter === \"string\")\n    return (event) => event.key === keyFilter;\n  else if (Array.isArray(keyFilter))\n    return (event) => keyFilter.includes(event.key);\n  return () => true;\n}\nfunction onKeyStroke(...args) {\n  let key;\n  let handler;\n  let options = {};\n  if (args.length === 3) {\n    key = args[0];\n    handler = args[1];\n    options = args[2];\n  } else if (args.length === 2) {\n    if (typeof args[1] === \"object\") {\n      key = true;\n      handler = args[0];\n      options = args[1];\n    } else {\n      key = args[0];\n      handler = args[1];\n    }\n  } else {\n    key = true;\n    handler = args[0];\n  }\n  const {\n    target = defaultWindow,\n    eventName = \"keydown\",\n    passive = false,\n    dedupe = false\n  } = options;\n  const predicate = createKeyPredicate(key);\n  const listener = (e) => {\n    if (e.repeat && toValue(dedupe))\n      return;\n    if (predicate(e))\n      handler(e);\n  };\n  return useEventListener(target, eventName, listener, passive);\n}\nfunction onKeyDown(key, handler, options = {}) {\n  return onKeyStroke(key, handler, { ...options, eventName: \"keydown\" });\n}\nfunction onKeyPressed(key, handler, options = {}) {\n  return onKeyStroke(key, handler, { ...options, eventName: \"keypress\" });\n}\nfunction onKeyUp(key, handler, options = {}) {\n  return onKeyStroke(key, handler, { ...options, eventName: \"keyup\" });\n}\n\nconst DEFAULT_DELAY = 500;\nconst DEFAULT_THRESHOLD = 10;\nfunction onLongPress(target, handler, options) {\n  var _a, _b;\n  const elementRef = computed(() => unrefElement(target));\n  let timeout;\n  let posStart;\n  let startTimestamp;\n  let hasLongPressed = false;\n  function clear() {\n    if (timeout) {\n      clearTimeout(timeout);\n      timeout = void 0;\n    }\n    posStart = void 0;\n    startTimestamp = void 0;\n    hasLongPressed = false;\n  }\n  function onRelease(ev) {\n    var _a2, _b2, _c;\n    const [_startTimestamp, _posStart, _hasLongPressed] = [startTimestamp, posStart, hasLongPressed];\n    clear();\n    if (!(options == null ? void 0 : options.onMouseUp) || !_posStart || !_startTimestamp)\n      return;\n    if (((_a2 = options == null ? void 0 : options.modifiers) == null ? void 0 : _a2.self) && ev.target !== elementRef.value)\n      return;\n    if ((_b2 = options == null ? void 0 : options.modifiers) == null ? void 0 : _b2.prevent)\n      ev.preventDefault();\n    if ((_c = options == null ? void 0 : options.modifiers) == null ? void 0 : _c.stop)\n      ev.stopPropagation();\n    const dx = ev.x - _posStart.x;\n    const dy = ev.y - _posStart.y;\n    const distance = Math.sqrt(dx * dx + dy * dy);\n    options.onMouseUp(ev.timeStamp - _startTimestamp, distance, _hasLongPressed);\n  }\n  function onDown(ev) {\n    var _a2, _b2, _c, _d;\n    if (((_a2 = options == null ? void 0 : options.modifiers) == null ? void 0 : _a2.self) && ev.target !== elementRef.value)\n      return;\n    clear();\n    if ((_b2 = options == null ? void 0 : options.modifiers) == null ? void 0 : _b2.prevent)\n      ev.preventDefault();\n    if ((_c = options == null ? void 0 : options.modifiers) == null ? void 0 : _c.stop)\n      ev.stopPropagation();\n    posStart = {\n      x: ev.x,\n      y: ev.y\n    };\n    startTimestamp = ev.timeStamp;\n    timeout = setTimeout(\n      () => {\n        hasLongPressed = true;\n        handler(ev);\n      },\n      (_d = options == null ? void 0 : options.delay) != null ? _d : DEFAULT_DELAY\n    );\n  }\n  function onMove(ev) {\n    var _a2, _b2, _c, _d;\n    if (((_a2 = options == null ? void 0 : options.modifiers) == null ? void 0 : _a2.self) && ev.target !== elementRef.value)\n      return;\n    if (!posStart || (options == null ? void 0 : options.distanceThreshold) === false)\n      return;\n    if ((_b2 = options == null ? void 0 : options.modifiers) == null ? void 0 : _b2.prevent)\n      ev.preventDefault();\n    if ((_c = options == null ? void 0 : options.modifiers) == null ? void 0 : _c.stop)\n      ev.stopPropagation();\n    const dx = ev.x - posStart.x;\n    const dy = ev.y - posStart.y;\n    const distance = Math.sqrt(dx * dx + dy * dy);\n    if (distance >= ((_d = options == null ? void 0 : options.distanceThreshold) != null ? _d : DEFAULT_THRESHOLD))\n      clear();\n  }\n  const listenerOptions = {\n    capture: (_a = options == null ? void 0 : options.modifiers) == null ? void 0 : _a.capture,\n    once: (_b = options == null ? void 0 : options.modifiers) == null ? void 0 : _b.once\n  };\n  const cleanup = [\n    useEventListener(elementRef, \"pointerdown\", onDown, listenerOptions),\n    useEventListener(elementRef, \"pointermove\", onMove, listenerOptions),\n    useEventListener(elementRef, [\"pointerup\", \"pointerleave\"], onRelease, listenerOptions)\n  ];\n  const stop = () => cleanup.forEach((fn) => fn());\n  return stop;\n}\n\nfunction isFocusedElementEditable() {\n  const { activeElement, body } = document;\n  if (!activeElement)\n    return false;\n  if (activeElement === body)\n    return false;\n  switch (activeElement.tagName) {\n    case \"INPUT\":\n    case \"TEXTAREA\":\n      return true;\n  }\n  return activeElement.hasAttribute(\"contenteditable\");\n}\nfunction isTypedCharValid({\n  keyCode,\n  metaKey,\n  ctrlKey,\n  altKey\n}) {\n  if (metaKey || ctrlKey || altKey)\n    return false;\n  if (keyCode >= 48 && keyCode <= 57)\n    return true;\n  if (keyCode >= 65 && keyCode <= 90)\n    return true;\n  if (keyCode >= 97 && keyCode <= 122)\n    return true;\n  return false;\n}\nfunction onStartTyping(callback, options = {}) {\n  const { document: document2 = defaultDocument } = options;\n  const keydown = (event) => {\n    if (!isFocusedElementEditable() && isTypedCharValid(event)) {\n      callback(event);\n    }\n  };\n  if (document2)\n    useEventListener(document2, \"keydown\", keydown, { passive: true });\n}\n\nfunction templateRef(key, initialValue = null) {\n  const instance = getCurrentInstance();\n  let _trigger = () => {\n  };\n  const element = customRef((track, trigger) => {\n    _trigger = trigger;\n    return {\n      get() {\n        var _a, _b;\n        track();\n        return (_b = (_a = instance == null ? void 0 : instance.proxy) == null ? void 0 : _a.$refs[key]) != null ? _b : initialValue;\n      },\n      set() {\n      }\n    };\n  });\n  tryOnMounted(_trigger);\n  onUpdated(_trigger);\n  return element;\n}\n\nfunction useMounted() {\n  const isMounted = ref(false);\n  const instance = getCurrentInstance();\n  if (instance) {\n    onMounted(() => {\n      isMounted.value = true;\n    }, isVue2 ? void 0 : instance);\n  }\n  return isMounted;\n}\n\nfunction useSupported(callback) {\n  const isMounted = useMounted();\n  return computed(() => {\n    isMounted.value;\n    return Boolean(callback());\n  });\n}\n\nfunction useMutationObserver(target, callback, options = {}) {\n  const { window = defaultWindow, ...mutationOptions } = options;\n  let observer;\n  const isSupported = useSupported(() => window && \"MutationObserver\" in window);\n  const cleanup = () => {\n    if (observer) {\n      observer.disconnect();\n      observer = void 0;\n    }\n  };\n  const targets = computed(() => {\n    const value = toValue(target);\n    const items = (Array.isArray(value) ? value : [value]).map(unrefElement).filter(notNullish);\n    return new Set(items);\n  });\n  const stopWatch = watch(\n    () => targets.value,\n    (targets2) => {\n      cleanup();\n      if (isSupported.value && targets2.size) {\n        observer = new MutationObserver(callback);\n        targets2.forEach((el) => observer.observe(el, mutationOptions));\n      }\n    },\n    { immediate: true, flush: \"post\" }\n  );\n  const takeRecords = () => {\n    return observer == null ? void 0 : observer.takeRecords();\n  };\n  const stop = () => {\n    stopWatch();\n    cleanup();\n  };\n  tryOnScopeDispose(stop);\n  return {\n    isSupported,\n    stop,\n    takeRecords\n  };\n}\n\nfunction useActiveElement(options = {}) {\n  var _a;\n  const {\n    window = defaultWindow,\n    deep = true,\n    triggerOnRemoval = false\n  } = options;\n  const document = (_a = options.document) != null ? _a : window == null ? void 0 : window.document;\n  const getDeepActiveElement = () => {\n    var _a2;\n    let element = document == null ? void 0 : document.activeElement;\n    if (deep) {\n      while (element == null ? void 0 : element.shadowRoot)\n        element = (_a2 = element == null ? void 0 : element.shadowRoot) == null ? void 0 : _a2.activeElement;\n    }\n    return element;\n  };\n  const activeElement = ref();\n  const trigger = () => {\n    activeElement.value = getDeepActiveElement();\n  };\n  if (window) {\n    useEventListener(window, \"blur\", (event) => {\n      if (event.relatedTarget !== null)\n        return;\n      trigger();\n    }, true);\n    useEventListener(window, \"focus\", trigger, true);\n  }\n  if (triggerOnRemoval) {\n    useMutationObserver(document, (mutations) => {\n      mutations.filter((m) => m.removedNodes.length).map((n) => Array.from(n.removedNodes)).flat().forEach((node) => {\n        if (node === activeElement.value)\n          trigger();\n      });\n    }, {\n      childList: true,\n      subtree: true\n    });\n  }\n  trigger();\n  return activeElement;\n}\n\nfunction useRafFn(fn, options = {}) {\n  const {\n    immediate = true,\n    fpsLimit = void 0,\n    window = defaultWindow\n  } = options;\n  const isActive = ref(false);\n  const intervalLimit = fpsLimit ? 1e3 / fpsLimit : null;\n  let previousFrameTimestamp = 0;\n  let rafId = null;\n  function loop(timestamp) {\n    if (!isActive.value || !window)\n      return;\n    if (!previousFrameTimestamp)\n      previousFrameTimestamp = timestamp;\n    const delta = timestamp - previousFrameTimestamp;\n    if (intervalLimit && delta < intervalLimit) {\n      rafId = window.requestAnimationFrame(loop);\n      return;\n    }\n    previousFrameTimestamp = timestamp;\n    fn({ delta, timestamp });\n    rafId = window.requestAnimationFrame(loop);\n  }\n  function resume() {\n    if (!isActive.value && window) {\n      isActive.value = true;\n      previousFrameTimestamp = 0;\n      rafId = window.requestAnimationFrame(loop);\n    }\n  }\n  function pause() {\n    isActive.value = false;\n    if (rafId != null && window) {\n      window.cancelAnimationFrame(rafId);\n      rafId = null;\n    }\n  }\n  if (immediate)\n    resume();\n  tryOnScopeDispose(pause);\n  return {\n    isActive: readonly(isActive),\n    pause,\n    resume\n  };\n}\n\nfunction useAnimate(target, keyframes, options) {\n  let config;\n  let animateOptions;\n  if (isObject(options)) {\n    config = options;\n    animateOptions = objectOmit(options, [\"window\", \"immediate\", \"commitStyles\", \"persist\", \"onReady\", \"onError\"]);\n  } else {\n    config = { duration: options };\n    animateOptions = options;\n  }\n  const {\n    window = defaultWindow,\n    immediate = true,\n    commitStyles,\n    persist,\n    playbackRate: _playbackRate = 1,\n    onReady,\n    onError = (e) => {\n      console.error(e);\n    }\n  } = config;\n  const isSupported = useSupported(() => window && HTMLElement && \"animate\" in HTMLElement.prototype);\n  const animate = shallowRef(void 0);\n  const store = shallowReactive({\n    startTime: null,\n    currentTime: null,\n    timeline: null,\n    playbackRate: _playbackRate,\n    pending: false,\n    playState: immediate ? \"idle\" : \"paused\",\n    replaceState: \"active\"\n  });\n  const pending = computed(() => store.pending);\n  const playState = computed(() => store.playState);\n  const replaceState = computed(() => store.replaceState);\n  const startTime = computed({\n    get() {\n      return store.startTime;\n    },\n    set(value) {\n      store.startTime = value;\n      if (animate.value)\n        animate.value.startTime = value;\n    }\n  });\n  const currentTime = computed({\n    get() {\n      return store.currentTime;\n    },\n    set(value) {\n      store.currentTime = value;\n      if (animate.value) {\n        animate.value.currentTime = value;\n        syncResume();\n      }\n    }\n  });\n  const timeline = computed({\n    get() {\n      return store.timeline;\n    },\n    set(value) {\n      store.timeline = value;\n      if (animate.value)\n        animate.value.timeline = value;\n    }\n  });\n  const playbackRate = computed({\n    get() {\n      return store.playbackRate;\n    },\n    set(value) {\n      store.playbackRate = value;\n      if (animate.value)\n        animate.value.playbackRate = value;\n    }\n  });\n  const play = () => {\n    if (animate.value) {\n      try {\n        animate.value.play();\n        syncResume();\n      } catch (e) {\n        syncPause();\n        onError(e);\n      }\n    } else {\n      update();\n    }\n  };\n  const pause = () => {\n    var _a;\n    try {\n      (_a = animate.value) == null ? void 0 : _a.pause();\n      syncPause();\n    } catch (e) {\n      onError(e);\n    }\n  };\n  const reverse = () => {\n    var _a;\n    if (!animate.value)\n      update();\n    try {\n      (_a = animate.value) == null ? void 0 : _a.reverse();\n      syncResume();\n    } catch (e) {\n      syncPause();\n      onError(e);\n    }\n  };\n  const finish = () => {\n    var _a;\n    try {\n      (_a = animate.value) == null ? void 0 : _a.finish();\n      syncPause();\n    } catch (e) {\n      onError(e);\n    }\n  };\n  const cancel = () => {\n    var _a;\n    try {\n      (_a = animate.value) == null ? void 0 : _a.cancel();\n      syncPause();\n    } catch (e) {\n      onError(e);\n    }\n  };\n  watch(() => unrefElement(target), (el) => {\n    if (el)\n      update();\n  });\n  watch(() => keyframes, (value) => {\n    if (animate.value)\n      update();\n    if (!unrefElement(target) && animate.value) {\n      animate.value.effect = new KeyframeEffect(\n        unrefElement(target),\n        toValue(value),\n        animateOptions\n      );\n    }\n  }, { deep: true });\n  tryOnMounted(() => update(true), false);\n  tryOnScopeDispose(cancel);\n  function update(init) {\n    const el = unrefElement(target);\n    if (!isSupported.value || !el)\n      return;\n    if (!animate.value)\n      animate.value = el.animate(toValue(keyframes), animateOptions);\n    if (persist)\n      animate.value.persist();\n    if (_playbackRate !== 1)\n      animate.value.playbackRate = _playbackRate;\n    if (init && !immediate)\n      animate.value.pause();\n    else\n      syncResume();\n    onReady == null ? void 0 : onReady(animate.value);\n  }\n  useEventListener(animate, [\"cancel\", \"finish\", \"remove\"], syncPause);\n  useEventListener(animate, \"finish\", () => {\n    var _a;\n    if (commitStyles)\n      (_a = animate.value) == null ? void 0 : _a.commitStyles();\n  });\n  const { resume: resumeRef, pause: pauseRef } = useRafFn(() => {\n    if (!animate.value)\n      return;\n    store.pending = animate.value.pending;\n    store.playState = animate.value.playState;\n    store.replaceState = animate.value.replaceState;\n    store.startTime = animate.value.startTime;\n    store.currentTime = animate.value.currentTime;\n    store.timeline = animate.value.timeline;\n    store.playbackRate = animate.value.playbackRate;\n  }, { immediate: false });\n  function syncResume() {\n    if (isSupported.value)\n      resumeRef();\n  }\n  function syncPause() {\n    if (isSupported.value && window)\n      window.requestAnimationFrame(pauseRef);\n  }\n  return {\n    isSupported,\n    animate,\n    // actions\n    play,\n    pause,\n    reverse,\n    finish,\n    cancel,\n    // state\n    pending,\n    playState,\n    replaceState,\n    startTime,\n    currentTime,\n    timeline,\n    playbackRate\n  };\n}\n\nfunction useAsyncQueue(tasks, options) {\n  const {\n    interrupt = true,\n    onError = noop,\n    onFinished = noop,\n    signal\n  } = options || {};\n  const promiseState = {\n    aborted: \"aborted\",\n    fulfilled: \"fulfilled\",\n    pending: \"pending\",\n    rejected: \"rejected\"\n  };\n  const initialResult = Array.from(Array.from({ length: tasks.length }), () => ({ state: promiseState.pending, data: null }));\n  const result = reactive(initialResult);\n  const activeIndex = ref(-1);\n  if (!tasks || tasks.length === 0) {\n    onFinished();\n    return {\n      activeIndex,\n      result\n    };\n  }\n  function updateResult(state, res) {\n    activeIndex.value++;\n    result[activeIndex.value].data = res;\n    result[activeIndex.value].state = state;\n  }\n  tasks.reduce((prev, curr) => {\n    return prev.then((prevRes) => {\n      var _a;\n      if (signal == null ? void 0 : signal.aborted) {\n        updateResult(promiseState.aborted, new Error(\"aborted\"));\n        return;\n      }\n      if (((_a = result[activeIndex.value]) == null ? void 0 : _a.state) === promiseState.rejected && interrupt) {\n        onFinished();\n        return;\n      }\n      const done = curr(prevRes).then((currentRes) => {\n        updateResult(promiseState.fulfilled, currentRes);\n        if (activeIndex.value === tasks.length - 1)\n          onFinished();\n        return currentRes;\n      });\n      if (!signal)\n        return done;\n      return Promise.race([done, whenAborted(signal)]);\n    }).catch((e) => {\n      if (signal == null ? void 0 : signal.aborted) {\n        updateResult(promiseState.aborted, e);\n        return e;\n      }\n      updateResult(promiseState.rejected, e);\n      onError();\n      return e;\n    });\n  }, Promise.resolve());\n  return {\n    activeIndex,\n    result\n  };\n}\nfunction whenAborted(signal) {\n  return new Promise((resolve, reject) => {\n    const error = new Error(\"aborted\");\n    if (signal.aborted)\n      reject(error);\n    else\n      signal.addEventListener(\"abort\", () => reject(error), { once: true });\n  });\n}\n\nfunction useAsyncState(promise, initialState, options) {\n  const {\n    immediate = true,\n    delay = 0,\n    onError = noop,\n    onSuccess = noop,\n    resetOnExecute = true,\n    shallow = true,\n    throwError\n  } = options != null ? options : {};\n  const state = shallow ? shallowRef(initialState) : ref(initialState);\n  const isReady = ref(false);\n  const isLoading = ref(false);\n  const error = shallowRef(void 0);\n  async function execute(delay2 = 0, ...args) {\n    if (resetOnExecute)\n      state.value = initialState;\n    error.value = void 0;\n    isReady.value = false;\n    isLoading.value = true;\n    if (delay2 > 0)\n      await promiseTimeout(delay2);\n    const _promise = typeof promise === \"function\" ? promise(...args) : promise;\n    try {\n      const data = await _promise;\n      state.value = data;\n      isReady.value = true;\n      onSuccess(data);\n    } catch (e) {\n      error.value = e;\n      onError(e);\n      if (throwError)\n        throw e;\n    } finally {\n      isLoading.value = false;\n    }\n    return state.value;\n  }\n  if (immediate)\n    execute(delay);\n  const shell = {\n    state,\n    isReady,\n    isLoading,\n    error,\n    execute\n  };\n  function waitUntilIsLoaded() {\n    return new Promise((resolve, reject) => {\n      until(isLoading).toBe(false).then(() => resolve(shell)).catch(reject);\n    });\n  }\n  return {\n    ...shell,\n    then(onFulfilled, onRejected) {\n      return waitUntilIsLoaded().then(onFulfilled, onRejected);\n    }\n  };\n}\n\nconst defaults = {\n  array: (v) => JSON.stringify(v),\n  object: (v) => JSON.stringify(v),\n  set: (v) => JSON.stringify(Array.from(v)),\n  map: (v) => JSON.stringify(Object.fromEntries(v)),\n  null: () => \"\"\n};\nfunction getDefaultSerialization(target) {\n  if (!target)\n    return defaults.null;\n  if (target instanceof Map)\n    return defaults.map;\n  else if (target instanceof Set)\n    return defaults.set;\n  else if (Array.isArray(target))\n    return defaults.array;\n  else\n    return defaults.object;\n}\n\nfunction useBase64(target, options) {\n  const base64 = ref(\"\");\n  const promise = ref();\n  function execute() {\n    if (!isClient)\n      return;\n    promise.value = new Promise((resolve, reject) => {\n      try {\n        const _target = toValue(target);\n        if (_target == null) {\n          resolve(\"\");\n        } else if (typeof _target === \"string\") {\n          resolve(blobToBase64(new Blob([_target], { type: \"text/plain\" })));\n        } else if (_target instanceof Blob) {\n          resolve(blobToBase64(_target));\n        } else if (_target instanceof ArrayBuffer) {\n          resolve(window.btoa(String.fromCharCode(...new Uint8Array(_target))));\n        } else if (_target instanceof HTMLCanvasElement) {\n          resolve(_target.toDataURL(options == null ? void 0 : options.type, options == null ? void 0 : options.quality));\n        } else if (_target instanceof HTMLImageElement) {\n          const img = _target.cloneNode(false);\n          img.crossOrigin = \"Anonymous\";\n          imgLoaded(img).then(() => {\n            const canvas = document.createElement(\"canvas\");\n            const ctx = canvas.getContext(\"2d\");\n            canvas.width = img.width;\n            canvas.height = img.height;\n            ctx.drawImage(img, 0, 0, canvas.width, canvas.height);\n            resolve(canvas.toDataURL(options == null ? void 0 : options.type, options == null ? void 0 : options.quality));\n          }).catch(reject);\n        } else if (typeof _target === \"object\") {\n          const _serializeFn = (options == null ? void 0 : options.serializer) || getDefaultSerialization(_target);\n          const serialized = _serializeFn(_target);\n          return resolve(blobToBase64(new Blob([serialized], { type: \"application/json\" })));\n        } else {\n          reject(new Error(\"target is unsupported types\"));\n        }\n      } catch (error) {\n        reject(error);\n      }\n    });\n    promise.value.then((res) => base64.value = res);\n    return promise.value;\n  }\n  if (isRef(target) || typeof target === \"function\")\n    watch(target, execute, { immediate: true });\n  else\n    execute();\n  return {\n    base64,\n    promise,\n    execute\n  };\n}\nfunction imgLoaded(img) {\n  return new Promise((resolve, reject) => {\n    if (!img.complete) {\n      img.onload = () => {\n        resolve();\n      };\n      img.onerror = reject;\n    } else {\n      resolve();\n    }\n  });\n}\nfunction blobToBase64(blob) {\n  return new Promise((resolve, reject) => {\n    const fr = new FileReader();\n    fr.onload = (e) => {\n      resolve(e.target.result);\n    };\n    fr.onerror = reject;\n    fr.readAsDataURL(blob);\n  });\n}\n\nfunction useBattery(options = {}) {\n  const { navigator = defaultNavigator } = options;\n  const events = [\"chargingchange\", \"chargingtimechange\", \"dischargingtimechange\", \"levelchange\"];\n  const isSupported = useSupported(() => navigator && \"getBattery\" in navigator && typeof navigator.getBattery === \"function\");\n  const charging = ref(false);\n  const chargingTime = ref(0);\n  const dischargingTime = ref(0);\n  const level = ref(1);\n  let battery;\n  function updateBatteryInfo() {\n    charging.value = this.charging;\n    chargingTime.value = this.chargingTime || 0;\n    dischargingTime.value = this.dischargingTime || 0;\n    level.value = this.level;\n  }\n  if (isSupported.value) {\n    navigator.getBattery().then((_battery) => {\n      battery = _battery;\n      updateBatteryInfo.call(battery);\n      useEventListener(battery, events, updateBatteryInfo, { passive: true });\n    });\n  }\n  return {\n    isSupported,\n    charging,\n    chargingTime,\n    dischargingTime,\n    level\n  };\n}\n\nfunction useBluetooth(options) {\n  let {\n    acceptAllDevices = false\n  } = options || {};\n  const {\n    filters = void 0,\n    optionalServices = void 0,\n    navigator = defaultNavigator\n  } = options || {};\n  const isSupported = useSupported(() => navigator && \"bluetooth\" in navigator);\n  const device = shallowRef(void 0);\n  const error = shallowRef(null);\n  watch(device, () => {\n    connectToBluetoothGATTServer();\n  });\n  async function requestDevice() {\n    if (!isSupported.value)\n      return;\n    error.value = null;\n    if (filters && filters.length > 0)\n      acceptAllDevices = false;\n    try {\n      device.value = await (navigator == null ? void 0 : navigator.bluetooth.requestDevice({\n        acceptAllDevices,\n        filters,\n        optionalServices\n      }));\n    } catch (err) {\n      error.value = err;\n    }\n  }\n  const server = ref();\n  const isConnected = computed(() => {\n    var _a;\n    return ((_a = server.value) == null ? void 0 : _a.connected) || false;\n  });\n  async function connectToBluetoothGATTServer() {\n    error.value = null;\n    if (device.value && device.value.gatt) {\n      device.value.addEventListener(\"gattserverdisconnected\", () => {\n      });\n      try {\n        server.value = await device.value.gatt.connect();\n      } catch (err) {\n        error.value = err;\n      }\n    }\n  }\n  tryOnMounted(() => {\n    var _a;\n    if (device.value)\n      (_a = device.value.gatt) == null ? void 0 : _a.connect();\n  });\n  tryOnScopeDispose(() => {\n    var _a;\n    if (device.value)\n      (_a = device.value.gatt) == null ? void 0 : _a.disconnect();\n  });\n  return {\n    isSupported,\n    isConnected,\n    // Device:\n    device,\n    requestDevice,\n    // Server:\n    server,\n    // Errors:\n    error\n  };\n}\n\nfunction useMediaQuery(query, options = {}) {\n  const { window = defaultWindow } = options;\n  const isSupported = useSupported(() => window && \"matchMedia\" in window && typeof window.matchMedia === \"function\");\n  let mediaQuery;\n  const matches = ref(false);\n  const handler = (event) => {\n    matches.value = event.matches;\n  };\n  const cleanup = () => {\n    if (!mediaQuery)\n      return;\n    if (\"removeEventListener\" in mediaQuery)\n      mediaQuery.removeEventListener(\"change\", handler);\n    else\n      mediaQuery.removeListener(handler);\n  };\n  const stopWatch = watchEffect(() => {\n    if (!isSupported.value)\n      return;\n    cleanup();\n    mediaQuery = window.matchMedia(toValue(query));\n    if (\"addEventListener\" in mediaQuery)\n      mediaQuery.addEventListener(\"change\", handler);\n    else\n      mediaQuery.addListener(handler);\n    matches.value = mediaQuery.matches;\n  });\n  tryOnScopeDispose(() => {\n    stopWatch();\n    cleanup();\n    mediaQuery = void 0;\n  });\n  return matches;\n}\n\nconst breakpointsTailwind = {\n  \"sm\": 640,\n  \"md\": 768,\n  \"lg\": 1024,\n  \"xl\": 1280,\n  \"2xl\": 1536\n};\nconst breakpointsBootstrapV5 = {\n  xs: 0,\n  sm: 576,\n  md: 768,\n  lg: 992,\n  xl: 1200,\n  xxl: 1400\n};\nconst breakpointsVuetifyV2 = {\n  xs: 0,\n  sm: 600,\n  md: 960,\n  lg: 1264,\n  xl: 1904\n};\nconst breakpointsVuetifyV3 = {\n  xs: 0,\n  sm: 600,\n  md: 960,\n  lg: 1280,\n  xl: 1920,\n  xxl: 2560\n};\nconst breakpointsVuetify = breakpointsVuetifyV2;\nconst breakpointsAntDesign = {\n  xs: 480,\n  sm: 576,\n  md: 768,\n  lg: 992,\n  xl: 1200,\n  xxl: 1600\n};\nconst breakpointsQuasar = {\n  xs: 0,\n  sm: 600,\n  md: 1024,\n  lg: 1440,\n  xl: 1920\n};\nconst breakpointsSematic = {\n  mobileS: 320,\n  mobileM: 375,\n  mobileL: 425,\n  tablet: 768,\n  laptop: 1024,\n  laptopL: 1440,\n  desktop4K: 2560\n};\nconst breakpointsMasterCss = {\n  \"3xs\": 360,\n  \"2xs\": 480,\n  \"xs\": 600,\n  \"sm\": 768,\n  \"md\": 1024,\n  \"lg\": 1280,\n  \"xl\": 1440,\n  \"2xl\": 1600,\n  \"3xl\": 1920,\n  \"4xl\": 2560\n};\nconst breakpointsPrimeFlex = {\n  sm: 576,\n  md: 768,\n  lg: 992,\n  xl: 1200\n};\n\nfunction useBreakpoints(breakpoints, options = {}) {\n  function getValue(k, delta) {\n    let v = toValue(breakpoints[toValue(k)]);\n    if (delta != null)\n      v = increaseWithUnit(v, delta);\n    if (typeof v === \"number\")\n      v = `${v}px`;\n    return v;\n  }\n  const { window = defaultWindow, strategy = \"min-width\" } = options;\n  function match(query) {\n    if (!window)\n      return false;\n    return window.matchMedia(query).matches;\n  }\n  const greaterOrEqual = (k) => {\n    return useMediaQuery(() => `(min-width: ${getValue(k)})`, options);\n  };\n  const smallerOrEqual = (k) => {\n    return useMediaQuery(() => `(max-width: ${getValue(k)})`, options);\n  };\n  const shortcutMethods = Object.keys(breakpoints).reduce((shortcuts, k) => {\n    Object.defineProperty(shortcuts, k, {\n      get: () => strategy === \"min-width\" ? greaterOrEqual(k) : smallerOrEqual(k),\n      enumerable: true,\n      configurable: true\n    });\n    return shortcuts;\n  }, {});\n  function current() {\n    const points = Object.keys(breakpoints).map((i) => [i, greaterOrEqual(i)]);\n    return computed(() => points.filter(([, v]) => v.value).map(([k]) => k));\n  }\n  return Object.assign(shortcutMethods, {\n    greaterOrEqual,\n    smallerOrEqual,\n    greater(k) {\n      return useMediaQuery(() => `(min-width: ${getValue(k, 0.1)})`, options);\n    },\n    smaller(k) {\n      return useMediaQuery(() => `(max-width: ${getValue(k, -0.1)})`, options);\n    },\n    between(a, b) {\n      return useMediaQuery(() => `(min-width: ${getValue(a)}) and (max-width: ${getValue(b, -0.1)})`, options);\n    },\n    isGreater(k) {\n      return match(`(min-width: ${getValue(k, 0.1)})`);\n    },\n    isGreaterOrEqual(k) {\n      return match(`(min-width: ${getValue(k)})`);\n    },\n    isSmaller(k) {\n      return match(`(max-width: ${getValue(k, -0.1)})`);\n    },\n    isSmallerOrEqual(k) {\n      return match(`(max-width: ${getValue(k)})`);\n    },\n    isInBetween(a, b) {\n      return match(`(min-width: ${getValue(a)}) and (max-width: ${getValue(b, -0.1)})`);\n    },\n    current,\n    active() {\n      const bps = current();\n      return computed(() => bps.value.length === 0 ? \"\" : bps.value.at(-1));\n    }\n  });\n}\n\nfunction useBroadcastChannel(options) {\n  const {\n    name,\n    window = defaultWindow\n  } = options;\n  const isSupported = useSupported(() => window && \"BroadcastChannel\" in window);\n  const isClosed = ref(false);\n  const channel = ref();\n  const data = ref();\n  const error = shallowRef(null);\n  const post = (data2) => {\n    if (channel.value)\n      channel.value.postMessage(data2);\n  };\n  const close = () => {\n    if (channel.value)\n      channel.value.close();\n    isClosed.value = true;\n  };\n  if (isSupported.value) {\n    tryOnMounted(() => {\n      error.value = null;\n      channel.value = new BroadcastChannel(name);\n      channel.value.addEventListener(\"message\", (e) => {\n        data.value = e.data;\n      }, { passive: true });\n      channel.value.addEventListener(\"messageerror\", (e) => {\n        error.value = e;\n      }, { passive: true });\n      channel.value.addEventListener(\"close\", () => {\n        isClosed.value = true;\n      });\n    });\n  }\n  tryOnScopeDispose(() => {\n    close();\n  });\n  return {\n    isSupported,\n    channel,\n    data,\n    post,\n    close,\n    error,\n    isClosed\n  };\n}\n\nconst WRITABLE_PROPERTIES = [\n  \"hash\",\n  \"host\",\n  \"hostname\",\n  \"href\",\n  \"pathname\",\n  \"port\",\n  \"protocol\",\n  \"search\"\n];\nfunction useBrowserLocation(options = {}) {\n  const { window = defaultWindow } = options;\n  const refs = Object.fromEntries(\n    WRITABLE_PROPERTIES.map((key) => [key, ref()])\n  );\n  for (const [key, ref2] of objectEntries(refs)) {\n    watch(ref2, (value) => {\n      if (!(window == null ? void 0 : window.location) || window.location[key] === value)\n        return;\n      window.location[key] = value;\n    });\n  }\n  const buildState = (trigger) => {\n    var _a;\n    const { state: state2, length } = (window == null ? void 0 : window.history) || {};\n    const { origin } = (window == null ? void 0 : window.location) || {};\n    for (const key of WRITABLE_PROPERTIES)\n      refs[key].value = (_a = window == null ? void 0 : window.location) == null ? void 0 : _a[key];\n    return reactive({\n      trigger,\n      state: state2,\n      length,\n      origin,\n      ...refs\n    });\n  };\n  const state = ref(buildState(\"load\"));\n  if (window) {\n    useEventListener(window, \"popstate\", () => state.value = buildState(\"popstate\"), { passive: true });\n    useEventListener(window, \"hashchange\", () => state.value = buildState(\"hashchange\"), { passive: true });\n  }\n  return state;\n}\n\nfunction useCached(refValue, comparator = (a, b) => a === b, watchOptions) {\n  const cachedValue = ref(refValue.value);\n  watch(() => refValue.value, (value) => {\n    if (!comparator(value, cachedValue.value))\n      cachedValue.value = value;\n  }, watchOptions);\n  return cachedValue;\n}\n\nfunction usePermission(permissionDesc, options = {}) {\n  const {\n    controls = false,\n    navigator = defaultNavigator\n  } = options;\n  const isSupported = useSupported(() => navigator && \"permissions\" in navigator);\n  let permissionStatus;\n  const desc = typeof permissionDesc === \"string\" ? { name: permissionDesc } : permissionDesc;\n  const state = ref();\n  const onChange = () => {\n    if (permissionStatus)\n      state.value = permissionStatus.state;\n  };\n  const query = createSingletonPromise(async () => {\n    if (!isSupported.value)\n      return;\n    if (!permissionStatus) {\n      try {\n        permissionStatus = await navigator.permissions.query(desc);\n        useEventListener(permissionStatus, \"change\", onChange);\n        onChange();\n      } catch (e) {\n        state.value = \"prompt\";\n      }\n    }\n    return permissionStatus;\n  });\n  query();\n  if (controls) {\n    return {\n      state,\n      isSupported,\n      query\n    };\n  } else {\n    return state;\n  }\n}\n\nfunction useClipboard(options = {}) {\n  const {\n    navigator = defaultNavigator,\n    read = false,\n    source,\n    copiedDuring = 1500,\n    legacy = false\n  } = options;\n  const isClipboardApiSupported = useSupported(() => navigator && \"clipboard\" in navigator);\n  const permissionRead = usePermission(\"clipboard-read\");\n  const permissionWrite = usePermission(\"clipboard-write\");\n  const isSupported = computed(() => isClipboardApiSupported.value || legacy);\n  const text = ref(\"\");\n  const copied = ref(false);\n  const timeout = useTimeoutFn(() => copied.value = false, copiedDuring);\n  function updateText() {\n    if (isClipboardApiSupported.value && isAllowed(permissionRead.value)) {\n      navigator.clipboard.readText().then((value) => {\n        text.value = value;\n      });\n    } else {\n      text.value = legacyRead();\n    }\n  }\n  if (isSupported.value && read)\n    useEventListener([\"copy\", \"cut\"], updateText);\n  async function copy(value = toValue(source)) {\n    if (isSupported.value && value != null) {\n      if (isClipboardApiSupported.value && isAllowed(permissionWrite.value))\n        await navigator.clipboard.writeText(value);\n      else\n        legacyCopy(value);\n      text.value = value;\n      copied.value = true;\n      timeout.start();\n    }\n  }\n  function legacyCopy(value) {\n    const ta = document.createElement(\"textarea\");\n    ta.value = value != null ? value : \"\";\n    ta.style.position = \"absolute\";\n    ta.style.opacity = \"0\";\n    document.body.appendChild(ta);\n    ta.select();\n    document.execCommand(\"copy\");\n    ta.remove();\n  }\n  function legacyRead() {\n    var _a, _b, _c;\n    return (_c = (_b = (_a = document == null ? void 0 : document.getSelection) == null ? void 0 : _a.call(document)) == null ? void 0 : _b.toString()) != null ? _c : \"\";\n  }\n  function isAllowed(status) {\n    return status === \"granted\" || status === \"prompt\";\n  }\n  return {\n    isSupported,\n    text,\n    copied,\n    copy\n  };\n}\n\nfunction useClipboardItems(options = {}) {\n  const {\n    navigator = defaultNavigator,\n    read = false,\n    source,\n    copiedDuring = 1500\n  } = options;\n  const isSupported = useSupported(() => navigator && \"clipboard\" in navigator);\n  const content = ref([]);\n  const copied = ref(false);\n  const timeout = useTimeoutFn(() => copied.value = false, copiedDuring);\n  function updateContent() {\n    if (isSupported.value) {\n      navigator.clipboard.read().then((items) => {\n        content.value = items;\n      });\n    }\n  }\n  if (isSupported.value && read)\n    useEventListener([\"copy\", \"cut\"], updateContent);\n  async function copy(value = toValue(source)) {\n    if (isSupported.value && value != null) {\n      await navigator.clipboard.write(value);\n      content.value = value;\n      copied.value = true;\n      timeout.start();\n    }\n  }\n  return {\n    isSupported,\n    content,\n    copied,\n    copy\n  };\n}\n\nfunction cloneFnJSON(source) {\n  return JSON.parse(JSON.stringify(source));\n}\nfunction useCloned(source, options = {}) {\n  const cloned = ref({});\n  const {\n    manual,\n    clone = cloneFnJSON,\n    // watch options\n    deep = true,\n    immediate = true\n  } = options;\n  function sync() {\n    cloned.value = clone(toValue(source));\n  }\n  if (!manual && (isRef(source) || typeof source === \"function\")) {\n    watch(source, sync, {\n      ...options,\n      deep,\n      immediate\n    });\n  } else {\n    sync();\n  }\n  return { cloned, sync };\n}\n\nconst _global = typeof globalThis !== \"undefined\" ? globalThis : typeof window !== \"undefined\" ? window : typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : {};\nconst globalKey = \"__vueuse_ssr_handlers__\";\nconst handlers = /* @__PURE__ */ getHandlers();\nfunction getHandlers() {\n  if (!(globalKey in _global))\n    _global[globalKey] = _global[globalKey] || {};\n  return _global[globalKey];\n}\nfunction getSSRHandler(key, fallback) {\n  return handlers[key] || fallback;\n}\nfunction setSSRHandler(key, fn) {\n  handlers[key] = fn;\n}\n\nfunction guessSerializerType(rawInit) {\n  return rawInit == null ? \"any\" : rawInit instanceof Set ? \"set\" : rawInit instanceof Map ? \"map\" : rawInit instanceof Date ? \"date\" : typeof rawInit === \"boolean\" ? \"boolean\" : typeof rawInit === \"string\" ? \"string\" : typeof rawInit === \"object\" ? \"object\" : !Number.isNaN(rawInit) ? \"number\" : \"any\";\n}\n\nconst StorageSerializers = {\n  boolean: {\n    read: (v) => v === \"true\",\n    write: (v) => String(v)\n  },\n  object: {\n    read: (v) => JSON.parse(v),\n    write: (v) => JSON.stringify(v)\n  },\n  number: {\n    read: (v) => Number.parseFloat(v),\n    write: (v) => String(v)\n  },\n  any: {\n    read: (v) => v,\n    write: (v) => String(v)\n  },\n  string: {\n    read: (v) => v,\n    write: (v) => String(v)\n  },\n  map: {\n    read: (v) => new Map(JSON.parse(v)),\n    write: (v) => JSON.stringify(Array.from(v.entries()))\n  },\n  set: {\n    read: (v) => new Set(JSON.parse(v)),\n    write: (v) => JSON.stringify(Array.from(v))\n  },\n  date: {\n    read: (v) => new Date(v),\n    write: (v) => v.toISOString()\n  }\n};\nconst customStorageEventName = \"vueuse-storage\";\nfunction useStorage(key, defaults, storage, options = {}) {\n  var _a;\n  const {\n    flush = \"pre\",\n    deep = true,\n    listenToStorageChanges = true,\n    writeDefaults = true,\n    mergeDefaults = false,\n    shallow,\n    window = defaultWindow,\n    eventFilter,\n    onError = (e) => {\n      console.error(e);\n    },\n    initOnMounted\n  } = options;\n  const data = (shallow ? shallowRef : ref)(typeof defaults === \"function\" ? defaults() : defaults);\n  if (!storage) {\n    try {\n      storage = getSSRHandler(\"getDefaultStorage\", () => {\n        var _a2;\n        return (_a2 = defaultWindow) == null ? void 0 : _a2.localStorage;\n      })();\n    } catch (e) {\n      onError(e);\n    }\n  }\n  if (!storage)\n    return data;\n  const rawInit = toValue(defaults);\n  const type = guessSerializerType(rawInit);\n  const serializer = (_a = options.serializer) != null ? _a : StorageSerializers[type];\n  const { pause: pauseWatch, resume: resumeWatch } = pausableWatch(\n    data,\n    () => write(data.value),\n    { flush, deep, eventFilter }\n  );\n  if (window && listenToStorageChanges) {\n    tryOnMounted(() => {\n      if (storage instanceof Storage)\n        useEventListener(window, \"storage\", update);\n      else\n        useEventListener(window, customStorageEventName, updateFromCustomEvent);\n      if (initOnMounted)\n        update();\n    });\n  }\n  if (!initOnMounted)\n    update();\n  function dispatchWriteEvent(oldValue, newValue) {\n    if (window && !(storage instanceof Storage)) {\n      window.dispatchEvent(new CustomEvent(customStorageEventName, {\n        detail: {\n          key,\n          oldValue,\n          newValue,\n          storageArea: storage\n        }\n      }));\n    }\n  }\n  function write(v) {\n    try {\n      const oldValue = storage.getItem(key);\n      if (v == null) {\n        dispatchWriteEvent(oldValue, null);\n        storage.removeItem(key);\n      } else {\n        const serialized = serializer.write(v);\n        if (oldValue !== serialized) {\n          storage.setItem(key, serialized);\n          dispatchWriteEvent(oldValue, serialized);\n        }\n      }\n    } catch (e) {\n      onError(e);\n    }\n  }\n  function read(event) {\n    const rawValue = event ? event.newValue : storage.getItem(key);\n    if (rawValue == null) {\n      if (writeDefaults && rawInit != null)\n        storage.setItem(key, serializer.write(rawInit));\n      return rawInit;\n    } else if (!event && mergeDefaults) {\n      const value = serializer.read(rawValue);\n      if (typeof mergeDefaults === \"function\")\n        return mergeDefaults(value, rawInit);\n      else if (type === \"object\" && !Array.isArray(value))\n        return { ...rawInit, ...value };\n      return value;\n    } else if (typeof rawValue !== \"string\") {\n      return rawValue;\n    } else {\n      return serializer.read(rawValue);\n    }\n  }\n  function update(event) {\n    if (event && event.storageArea !== storage)\n      return;\n    if (event && event.key == null) {\n      data.value = rawInit;\n      return;\n    }\n    if (event && event.key !== key)\n      return;\n    pauseWatch();\n    try {\n      if ((event == null ? void 0 : event.newValue) !== serializer.write(data.value))\n        data.value = read(event);\n    } catch (e) {\n      onError(e);\n    } finally {\n      if (event)\n        nextTick(resumeWatch);\n      else\n        resumeWatch();\n    }\n  }\n  function updateFromCustomEvent(event) {\n    update(event.detail);\n  }\n  return data;\n}\n\nfunction usePreferredDark(options) {\n  return useMediaQuery(\"(prefers-color-scheme: dark)\", options);\n}\n\nconst CSS_DISABLE_TRANS = \"*,*::before,*::after{-webkit-transition:none!important;-moz-transition:none!important;-o-transition:none!important;-ms-transition:none!important;transition:none!important}\";\nfunction useColorMode(options = {}) {\n  const {\n    selector = \"html\",\n    attribute = \"class\",\n    initialValue = \"auto\",\n    window = defaultWindow,\n    storage,\n    storageKey = \"vueuse-color-scheme\",\n    listenToStorageChanges = true,\n    storageRef,\n    emitAuto,\n    disableTransition = true\n  } = options;\n  const modes = {\n    auto: \"\",\n    light: \"light\",\n    dark: \"dark\",\n    ...options.modes || {}\n  };\n  const preferredDark = usePreferredDark({ window });\n  const system = computed(() => preferredDark.value ? \"dark\" : \"light\");\n  const store = storageRef || (storageKey == null ? toRef(initialValue) : useStorage(storageKey, initialValue, storage, { window, listenToStorageChanges }));\n  const state = computed(() => store.value === \"auto\" ? system.value : store.value);\n  const updateHTMLAttrs = getSSRHandler(\n    \"updateHTMLAttrs\",\n    (selector2, attribute2, value) => {\n      const el = typeof selector2 === \"string\" ? window == null ? void 0 : window.document.querySelector(selector2) : unrefElement(selector2);\n      if (!el)\n        return;\n      const classesToAdd = /* @__PURE__ */ new Set();\n      const classesToRemove = /* @__PURE__ */ new Set();\n      let attributeToChange = null;\n      if (attribute2 === \"class\") {\n        const current = value.split(/\\s/g);\n        Object.values(modes).flatMap((i) => (i || \"\").split(/\\s/g)).filter(Boolean).forEach((v) => {\n          if (current.includes(v))\n            classesToAdd.add(v);\n          else\n            classesToRemove.add(v);\n        });\n      } else {\n        attributeToChange = { key: attribute2, value };\n      }\n      if (classesToAdd.size === 0 && classesToRemove.size === 0 && attributeToChange === null)\n        return;\n      let style;\n      if (disableTransition) {\n        style = window.document.createElement(\"style\");\n        style.appendChild(document.createTextNode(CSS_DISABLE_TRANS));\n        window.document.head.appendChild(style);\n      }\n      for (const c of classesToAdd) {\n        el.classList.add(c);\n      }\n      for (const c of classesToRemove) {\n        el.classList.remove(c);\n      }\n      if (attributeToChange) {\n        el.setAttribute(attributeToChange.key, attributeToChange.value);\n      }\n      if (disableTransition) {\n        window.getComputedStyle(style).opacity;\n        document.head.removeChild(style);\n      }\n    }\n  );\n  function defaultOnChanged(mode) {\n    var _a;\n    updateHTMLAttrs(selector, attribute, (_a = modes[mode]) != null ? _a : mode);\n  }\n  function onChanged(mode) {\n    if (options.onChanged)\n      options.onChanged(mode, defaultOnChanged);\n    else\n      defaultOnChanged(mode);\n  }\n  watch(state, onChanged, { flush: \"post\", immediate: true });\n  tryOnMounted(() => onChanged(state.value));\n  const auto = computed({\n    get() {\n      return emitAuto ? store.value : state.value;\n    },\n    set(v) {\n      store.value = v;\n    }\n  });\n  try {\n    return Object.assign(auto, { store, system, state });\n  } catch (e) {\n    return auto;\n  }\n}\n\nfunction useConfirmDialog(revealed = ref(false)) {\n  const confirmHook = createEventHook();\n  const cancelHook = createEventHook();\n  const revealHook = createEventHook();\n  let _resolve = noop;\n  const reveal = (data) => {\n    revealHook.trigger(data);\n    revealed.value = true;\n    return new Promise((resolve) => {\n      _resolve = resolve;\n    });\n  };\n  const confirm = (data) => {\n    revealed.value = false;\n    confirmHook.trigger(data);\n    _resolve({ data, isCanceled: false });\n  };\n  const cancel = (data) => {\n    revealed.value = false;\n    cancelHook.trigger(data);\n    _resolve({ data, isCanceled: true });\n  };\n  return {\n    isRevealed: computed(() => revealed.value),\n    reveal,\n    confirm,\n    cancel,\n    onReveal: revealHook.on,\n    onConfirm: confirmHook.on,\n    onCancel: cancelHook.on\n  };\n}\n\nfunction useCssVar(prop, target, options = {}) {\n  const { window = defaultWindow, initialValue, observe = false } = options;\n  const variable = ref(initialValue);\n  const elRef = computed(() => {\n    var _a;\n    return unrefElement(target) || ((_a = window == null ? void 0 : window.document) == null ? void 0 : _a.documentElement);\n  });\n  function updateCssVar() {\n    var _a;\n    const key = toValue(prop);\n    const el = toValue(elRef);\n    if (el && window && key) {\n      const value = (_a = window.getComputedStyle(el).getPropertyValue(key)) == null ? void 0 : _a.trim();\n      variable.value = value || initialValue;\n    }\n  }\n  if (observe) {\n    useMutationObserver(elRef, updateCssVar, {\n      attributeFilter: [\"style\", \"class\"],\n      window\n    });\n  }\n  watch(\n    [elRef, () => toValue(prop)],\n    (_, old) => {\n      if (old[0] && old[1] && window)\n        window.getComputedStyle(old[0]).removeProperty(old[1]);\n      updateCssVar();\n    },\n    { immediate: true }\n  );\n  watch(\n    variable,\n    (val) => {\n      var _a;\n      const raw_prop = toValue(prop);\n      if (((_a = elRef.value) == null ? void 0 : _a.style) && raw_prop) {\n        if (val == null)\n          elRef.value.style.removeProperty(raw_prop);\n        else\n          elRef.value.style.setProperty(raw_prop, val);\n      }\n    }\n  );\n  return variable;\n}\n\nfunction useCurrentElement(rootComponent) {\n  const vm = getCurrentInstance();\n  const currentElement = computedWithControl(\n    () => null,\n    () => rootComponent ? unrefElement(rootComponent) : vm.proxy.$el\n  );\n  onUpdated(currentElement.trigger);\n  onMounted(currentElement.trigger);\n  return currentElement;\n}\n\nfunction useCycleList(list, options) {\n  const state = shallowRef(getInitialValue());\n  const listRef = toRef(list);\n  const index = computed({\n    get() {\n      var _a;\n      const targetList = listRef.value;\n      let index2 = (options == null ? void 0 : options.getIndexOf) ? options.getIndexOf(state.value, targetList) : targetList.indexOf(state.value);\n      if (index2 < 0)\n        index2 = (_a = options == null ? void 0 : options.fallbackIndex) != null ? _a : 0;\n      return index2;\n    },\n    set(v) {\n      set(v);\n    }\n  });\n  function set(i) {\n    const targetList = listRef.value;\n    const length = targetList.length;\n    const index2 = (i % length + length) % length;\n    const value = targetList[index2];\n    state.value = value;\n    return value;\n  }\n  function shift(delta = 1) {\n    return set(index.value + delta);\n  }\n  function next(n = 1) {\n    return shift(n);\n  }\n  function prev(n = 1) {\n    return shift(-n);\n  }\n  function getInitialValue() {\n    var _a, _b;\n    return (_b = toValue((_a = options == null ? void 0 : options.initialValue) != null ? _a : toValue(list)[0])) != null ? _b : void 0;\n  }\n  watch(listRef, () => set(index.value));\n  return {\n    state,\n    index,\n    next,\n    prev,\n    go: set\n  };\n}\n\nfunction useDark(options = {}) {\n  const {\n    valueDark = \"dark\",\n    valueLight = \"\",\n    window = defaultWindow\n  } = options;\n  const mode = useColorMode({\n    ...options,\n    onChanged: (mode2, defaultHandler) => {\n      var _a;\n      if (options.onChanged)\n        (_a = options.onChanged) == null ? void 0 : _a.call(options, mode2 === \"dark\", defaultHandler, mode2);\n      else\n        defaultHandler(mode2);\n    },\n    modes: {\n      dark: valueDark,\n      light: valueLight\n    }\n  });\n  const system = computed(() => {\n    if (mode.system) {\n      return mode.system.value;\n    } else {\n      const preferredDark = usePreferredDark({ window });\n      return preferredDark.value ? \"dark\" : \"light\";\n    }\n  });\n  const isDark = computed({\n    get() {\n      return mode.value === \"dark\";\n    },\n    set(v) {\n      const modeVal = v ? \"dark\" : \"light\";\n      if (system.value === modeVal)\n        mode.value = \"auto\";\n      else\n        mode.value = modeVal;\n    }\n  });\n  return isDark;\n}\n\nfunction fnBypass(v) {\n  return v;\n}\nfunction fnSetSource(source, value) {\n  return source.value = value;\n}\nfunction defaultDump(clone) {\n  return clone ? typeof clone === \"function\" ? clone : cloneFnJSON : fnBypass;\n}\nfunction defaultParse(clone) {\n  return clone ? typeof clone === \"function\" ? clone : cloneFnJSON : fnBypass;\n}\nfunction useManualRefHistory(source, options = {}) {\n  const {\n    clone = false,\n    dump = defaultDump(clone),\n    parse = defaultParse(clone),\n    setSource = fnSetSource\n  } = options;\n  function _createHistoryRecord() {\n    return markRaw({\n      snapshot: dump(source.value),\n      timestamp: timestamp()\n    });\n  }\n  const last = ref(_createHistoryRecord());\n  const undoStack = ref([]);\n  const redoStack = ref([]);\n  const _setSource = (record) => {\n    setSource(source, parse(record.snapshot));\n    last.value = record;\n  };\n  const commit = () => {\n    undoStack.value.unshift(last.value);\n    last.value = _createHistoryRecord();\n    if (options.capacity && undoStack.value.length > options.capacity)\n      undoStack.value.splice(options.capacity, Number.POSITIVE_INFINITY);\n    if (redoStack.value.length)\n      redoStack.value.splice(0, redoStack.value.length);\n  };\n  const clear = () => {\n    undoStack.value.splice(0, undoStack.value.length);\n    redoStack.value.splice(0, redoStack.value.length);\n  };\n  const undo = () => {\n    const state = undoStack.value.shift();\n    if (state) {\n      redoStack.value.unshift(last.value);\n      _setSource(state);\n    }\n  };\n  const redo = () => {\n    const state = redoStack.value.shift();\n    if (state) {\n      undoStack.value.unshift(last.value);\n      _setSource(state);\n    }\n  };\n  const reset = () => {\n    _setSource(last.value);\n  };\n  const history = computed(() => [last.value, ...undoStack.value]);\n  const canUndo = computed(() => undoStack.value.length > 0);\n  const canRedo = computed(() => redoStack.value.length > 0);\n  return {\n    source,\n    undoStack,\n    redoStack,\n    last,\n    history,\n    canUndo,\n    canRedo,\n    clear,\n    commit,\n    reset,\n    undo,\n    redo\n  };\n}\n\nfunction useRefHistory(source, options = {}) {\n  const {\n    deep = false,\n    flush = \"pre\",\n    eventFilter\n  } = options;\n  const {\n    eventFilter: composedFilter,\n    pause,\n    resume: resumeTracking,\n    isActive: isTracking\n  } = pausableFilter(eventFilter);\n  const {\n    ignoreUpdates,\n    ignorePrevAsyncUpdates,\n    stop\n  } = watchIgnorable(\n    source,\n    commit,\n    { deep, flush, eventFilter: composedFilter }\n  );\n  function setSource(source2, value) {\n    ignorePrevAsyncUpdates();\n    ignoreUpdates(() => {\n      source2.value = value;\n    });\n  }\n  const manualHistory = useManualRefHistory(source, { ...options, clone: options.clone || deep, setSource });\n  const { clear, commit: manualCommit } = manualHistory;\n  function commit() {\n    ignorePrevAsyncUpdates();\n    manualCommit();\n  }\n  function resume(commitNow) {\n    resumeTracking();\n    if (commitNow)\n      commit();\n  }\n  function batch(fn) {\n    let canceled = false;\n    const cancel = () => canceled = true;\n    ignoreUpdates(() => {\n      fn(cancel);\n    });\n    if (!canceled)\n      commit();\n  }\n  function dispose() {\n    stop();\n    clear();\n  }\n  return {\n    ...manualHistory,\n    isTracking,\n    pause,\n    resume,\n    commit,\n    batch,\n    dispose\n  };\n}\n\nfunction useDebouncedRefHistory(source, options = {}) {\n  const filter = options.debounce ? debounceFilter(options.debounce) : void 0;\n  const history = useRefHistory(source, { ...options, eventFilter: filter });\n  return {\n    ...history\n  };\n}\n\nfunction useDeviceMotion(options = {}) {\n  const {\n    window = defaultWindow,\n    eventFilter = bypassFilter\n  } = options;\n  const acceleration = ref({ x: null, y: null, z: null });\n  const rotationRate = ref({ alpha: null, beta: null, gamma: null });\n  const interval = ref(0);\n  const accelerationIncludingGravity = ref({\n    x: null,\n    y: null,\n    z: null\n  });\n  if (window) {\n    const onDeviceMotion = createFilterWrapper(\n      eventFilter,\n      (event) => {\n        acceleration.value = event.acceleration;\n        accelerationIncludingGravity.value = event.accelerationIncludingGravity;\n        rotationRate.value = event.rotationRate;\n        interval.value = event.interval;\n      }\n    );\n    useEventListener(window, \"devicemotion\", onDeviceMotion);\n  }\n  return {\n    acceleration,\n    accelerationIncludingGravity,\n    rotationRate,\n    interval\n  };\n}\n\nfunction useDeviceOrientation(options = {}) {\n  const { window = defaultWindow } = options;\n  const isSupported = useSupported(() => window && \"DeviceOrientationEvent\" in window);\n  const isAbsolute = ref(false);\n  const alpha = ref(null);\n  const beta = ref(null);\n  const gamma = ref(null);\n  if (window && isSupported.value) {\n    useEventListener(window, \"deviceorientation\", (event) => {\n      isAbsolute.value = event.absolute;\n      alpha.value = event.alpha;\n      beta.value = event.beta;\n      gamma.value = event.gamma;\n    });\n  }\n  return {\n    isSupported,\n    isAbsolute,\n    alpha,\n    beta,\n    gamma\n  };\n}\n\nfunction useDevicePixelRatio(options = {}) {\n  const {\n    window = defaultWindow\n  } = options;\n  const pixelRatio = ref(1);\n  if (window) {\n    let observe2 = function() {\n      pixelRatio.value = window.devicePixelRatio;\n      cleanup2();\n      media = window.matchMedia(`(resolution: ${pixelRatio.value}dppx)`);\n      media.addEventListener(\"change\", observe2, { once: true });\n    }, cleanup2 = function() {\n      media == null ? void 0 : media.removeEventListener(\"change\", observe2);\n    };\n    let media;\n    observe2();\n    tryOnScopeDispose(cleanup2);\n  }\n  return { pixelRatio };\n}\n\nfunction useDevicesList(options = {}) {\n  const {\n    navigator = defaultNavigator,\n    requestPermissions = false,\n    constraints = { audio: true, video: true },\n    onUpdated\n  } = options;\n  const devices = ref([]);\n  const videoInputs = computed(() => devices.value.filter((i) => i.kind === \"videoinput\"));\n  const audioInputs = computed(() => devices.value.filter((i) => i.kind === \"audioinput\"));\n  const audioOutputs = computed(() => devices.value.filter((i) => i.kind === \"audiooutput\"));\n  const isSupported = useSupported(() => navigator && navigator.mediaDevices && navigator.mediaDevices.enumerateDevices);\n  const permissionGranted = ref(false);\n  let stream;\n  async function update() {\n    if (!isSupported.value)\n      return;\n    devices.value = await navigator.mediaDevices.enumerateDevices();\n    onUpdated == null ? void 0 : onUpdated(devices.value);\n    if (stream) {\n      stream.getTracks().forEach((t) => t.stop());\n      stream = null;\n    }\n  }\n  async function ensurePermissions() {\n    if (!isSupported.value)\n      return false;\n    if (permissionGranted.value)\n      return true;\n    const { state, query } = usePermission(\"camera\", { controls: true });\n    await query();\n    if (state.value !== \"granted\") {\n      stream = await navigator.mediaDevices.getUserMedia(constraints);\n      update();\n      permissionGranted.value = true;\n    } else {\n      permissionGranted.value = true;\n    }\n    return permissionGranted.value;\n  }\n  if (isSupported.value) {\n    if (requestPermissions)\n      ensurePermissions();\n    useEventListener(navigator.mediaDevices, \"devicechange\", update);\n    update();\n  }\n  return {\n    devices,\n    ensurePermissions,\n    permissionGranted,\n    videoInputs,\n    audioInputs,\n    audioOutputs,\n    isSupported\n  };\n}\n\nfunction useDisplayMedia(options = {}) {\n  var _a;\n  const enabled = ref((_a = options.enabled) != null ? _a : false);\n  const video = options.video;\n  const audio = options.audio;\n  const { navigator = defaultNavigator } = options;\n  const isSupported = useSupported(() => {\n    var _a2;\n    return (_a2 = navigator == null ? void 0 : navigator.mediaDevices) == null ? void 0 : _a2.getDisplayMedia;\n  });\n  const constraint = { audio, video };\n  const stream = shallowRef();\n  async function _start() {\n    var _a2;\n    if (!isSupported.value || stream.value)\n      return;\n    stream.value = await navigator.mediaDevices.getDisplayMedia(constraint);\n    (_a2 = stream.value) == null ? void 0 : _a2.getTracks().forEach((t) => t.addEventListener(\"ended\", stop));\n    return stream.value;\n  }\n  async function _stop() {\n    var _a2;\n    (_a2 = stream.value) == null ? void 0 : _a2.getTracks().forEach((t) => t.stop());\n    stream.value = void 0;\n  }\n  function stop() {\n    _stop();\n    enabled.value = false;\n  }\n  async function start() {\n    await _start();\n    if (stream.value)\n      enabled.value = true;\n    return stream.value;\n  }\n  watch(\n    enabled,\n    (v) => {\n      if (v)\n        _start();\n      else\n        _stop();\n    },\n    { immediate: true }\n  );\n  return {\n    isSupported,\n    stream,\n    start,\n    stop,\n    enabled\n  };\n}\n\nfunction useDocumentVisibility(options = {}) {\n  const { document = defaultDocument } = options;\n  if (!document)\n    return ref(\"visible\");\n  const visibility = ref(document.visibilityState);\n  useEventListener(document, \"visibilitychange\", () => {\n    visibility.value = document.visibilityState;\n  });\n  return visibility;\n}\n\nfunction useDraggable(target, options = {}) {\n  var _a, _b;\n  const {\n    pointerTypes,\n    preventDefault,\n    stopPropagation,\n    exact,\n    onMove,\n    onEnd,\n    onStart,\n    initialValue,\n    axis = \"both\",\n    draggingElement = defaultWindow,\n    containerElement,\n    handle: draggingHandle = target,\n    buttons = [0]\n  } = options;\n  const position = ref(\n    (_a = toValue(initialValue)) != null ? _a : { x: 0, y: 0 }\n  );\n  const pressedDelta = ref();\n  const filterEvent = (e) => {\n    if (pointerTypes)\n      return pointerTypes.includes(e.pointerType);\n    return true;\n  };\n  const handleEvent = (e) => {\n    if (toValue(preventDefault))\n      e.preventDefault();\n    if (toValue(stopPropagation))\n      e.stopPropagation();\n  };\n  const start = (e) => {\n    var _a2;\n    if (!toValue(buttons).includes(e.button))\n      return;\n    if (toValue(options.disabled) || !filterEvent(e))\n      return;\n    if (toValue(exact) && e.target !== toValue(target))\n      return;\n    const container = toValue(containerElement);\n    const containerRect = (_a2 = container == null ? void 0 : container.getBoundingClientRect) == null ? void 0 : _a2.call(container);\n    const targetRect = toValue(target).getBoundingClientRect();\n    const pos = {\n      x: e.clientX - (container ? targetRect.left - containerRect.left + container.scrollLeft : targetRect.left),\n      y: e.clientY - (container ? targetRect.top - containerRect.top + container.scrollTop : targetRect.top)\n    };\n    if ((onStart == null ? void 0 : onStart(pos, e)) === false)\n      return;\n    pressedDelta.value = pos;\n    handleEvent(e);\n  };\n  const move = (e) => {\n    if (toValue(options.disabled) || !filterEvent(e))\n      return;\n    if (!pressedDelta.value)\n      return;\n    const container = toValue(containerElement);\n    const targetRect = toValue(target).getBoundingClientRect();\n    let { x, y } = position.value;\n    if (axis === \"x\" || axis === \"both\") {\n      x = e.clientX - pressedDelta.value.x;\n      if (container)\n        x = Math.min(Math.max(0, x), container.scrollWidth - targetRect.width);\n    }\n    if (axis === \"y\" || axis === \"both\") {\n      y = e.clientY - pressedDelta.value.y;\n      if (container)\n        y = Math.min(Math.max(0, y), container.scrollHeight - targetRect.height);\n    }\n    position.value = {\n      x,\n      y\n    };\n    onMove == null ? void 0 : onMove(position.value, e);\n    handleEvent(e);\n  };\n  const end = (e) => {\n    if (toValue(options.disabled) || !filterEvent(e))\n      return;\n    if (!pressedDelta.value)\n      return;\n    pressedDelta.value = void 0;\n    onEnd == null ? void 0 : onEnd(position.value, e);\n    handleEvent(e);\n  };\n  if (isClient) {\n    const config = { capture: (_b = options.capture) != null ? _b : true };\n    useEventListener(draggingHandle, \"pointerdown\", start, config);\n    useEventListener(draggingElement, \"pointermove\", move, config);\n    useEventListener(draggingElement, \"pointerup\", end, config);\n  }\n  return {\n    ...toRefs(position),\n    position,\n    isDragging: computed(() => !!pressedDelta.value),\n    style: computed(\n      () => `left:${position.value.x}px;top:${position.value.y}px;`\n    )\n  };\n}\n\nfunction useDropZone(target, options = {}) {\n  const isOverDropZone = ref(false);\n  const files = shallowRef(null);\n  let counter = 0;\n  let isDataTypeIncluded = true;\n  if (isClient) {\n    const _options = typeof options === \"function\" ? { onDrop: options } : options;\n    const getFiles = (event) => {\n      var _a, _b;\n      const list = Array.from((_b = (_a = event.dataTransfer) == null ? void 0 : _a.files) != null ? _b : []);\n      return files.value = list.length === 0 ? null : list;\n    };\n    useEventListener(target, \"dragenter\", (event) => {\n      var _a, _b;\n      const types = Array.from(((_a = event == null ? void 0 : event.dataTransfer) == null ? void 0 : _a.items) || []).map((i) => i.kind === \"file\" ? i.type : null).filter(notNullish);\n      if (_options.dataTypes && event.dataTransfer) {\n        const dataTypes = unref(_options.dataTypes);\n        isDataTypeIncluded = typeof dataTypes === \"function\" ? dataTypes(types) : dataTypes ? dataTypes.some((item) => types.includes(item)) : true;\n        if (!isDataTypeIncluded)\n          return;\n      }\n      event.preventDefault();\n      counter += 1;\n      isOverDropZone.value = true;\n      (_b = _options.onEnter) == null ? void 0 : _b.call(_options, getFiles(event), event);\n    });\n    useEventListener(target, \"dragover\", (event) => {\n      var _a;\n      if (!isDataTypeIncluded)\n        return;\n      event.preventDefault();\n      (_a = _options.onOver) == null ? void 0 : _a.call(_options, getFiles(event), event);\n    });\n    useEventListener(target, \"dragleave\", (event) => {\n      var _a;\n      if (!isDataTypeIncluded)\n        return;\n      event.preventDefault();\n      counter -= 1;\n      if (counter === 0)\n        isOverDropZone.value = false;\n      (_a = _options.onLeave) == null ? void 0 : _a.call(_options, getFiles(event), event);\n    });\n    useEventListener(target, \"drop\", (event) => {\n      var _a;\n      event.preventDefault();\n      counter = 0;\n      isOverDropZone.value = false;\n      (_a = _options.onDrop) == null ? void 0 : _a.call(_options, getFiles(event), event);\n    });\n  }\n  return {\n    files,\n    isOverDropZone\n  };\n}\n\nfunction useResizeObserver(target, callback, options = {}) {\n  const { window = defaultWindow, ...observerOptions } = options;\n  let observer;\n  const isSupported = useSupported(() => window && \"ResizeObserver\" in window);\n  const cleanup = () => {\n    if (observer) {\n      observer.disconnect();\n      observer = void 0;\n    }\n  };\n  const targets = computed(() => {\n    const _targets = toValue(target);\n    return Array.isArray(_targets) ? _targets.map((el) => unrefElement(el)) : [unrefElement(_targets)];\n  });\n  const stopWatch = watch(\n    targets,\n    (els) => {\n      cleanup();\n      if (isSupported.value && window) {\n        observer = new ResizeObserver(callback);\n        for (const _el of els) {\n          if (_el)\n            observer.observe(_el, observerOptions);\n        }\n      }\n    },\n    { immediate: true, flush: \"post\" }\n  );\n  const stop = () => {\n    cleanup();\n    stopWatch();\n  };\n  tryOnScopeDispose(stop);\n  return {\n    isSupported,\n    stop\n  };\n}\n\nfunction useElementBounding(target, options = {}) {\n  const {\n    reset = true,\n    windowResize = true,\n    windowScroll = true,\n    immediate = true,\n    updateTiming = \"sync\"\n  } = options;\n  const height = ref(0);\n  const bottom = ref(0);\n  const left = ref(0);\n  const right = ref(0);\n  const top = ref(0);\n  const width = ref(0);\n  const x = ref(0);\n  const y = ref(0);\n  function recalculate() {\n    const el = unrefElement(target);\n    if (!el) {\n      if (reset) {\n        height.value = 0;\n        bottom.value = 0;\n        left.value = 0;\n        right.value = 0;\n        top.value = 0;\n        width.value = 0;\n        x.value = 0;\n        y.value = 0;\n      }\n      return;\n    }\n    const rect = el.getBoundingClientRect();\n    height.value = rect.height;\n    bottom.value = rect.bottom;\n    left.value = rect.left;\n    right.value = rect.right;\n    top.value = rect.top;\n    width.value = rect.width;\n    x.value = rect.x;\n    y.value = rect.y;\n  }\n  function update() {\n    if (updateTiming === \"sync\")\n      recalculate();\n    else if (updateTiming === \"next-frame\")\n      requestAnimationFrame(() => recalculate());\n  }\n  useResizeObserver(target, update);\n  watch(() => unrefElement(target), (ele) => !ele && update());\n  useMutationObserver(target, update, {\n    attributeFilter: [\"style\", \"class\"]\n  });\n  if (windowScroll)\n    useEventListener(\"scroll\", update, { capture: true, passive: true });\n  if (windowResize)\n    useEventListener(\"resize\", update, { passive: true });\n  tryOnMounted(() => {\n    if (immediate)\n      update();\n  });\n  return {\n    height,\n    bottom,\n    left,\n    right,\n    top,\n    width,\n    x,\n    y,\n    update\n  };\n}\n\nfunction useElementByPoint(options) {\n  const {\n    x,\n    y,\n    document = defaultDocument,\n    multiple,\n    interval = \"requestAnimationFrame\",\n    immediate = true\n  } = options;\n  const isSupported = useSupported(() => {\n    if (toValue(multiple))\n      return document && \"elementsFromPoint\" in document;\n    return document && \"elementFromPoint\" in document;\n  });\n  const element = ref(null);\n  const cb = () => {\n    var _a, _b;\n    element.value = toValue(multiple) ? (_a = document == null ? void 0 : document.elementsFromPoint(toValue(x), toValue(y))) != null ? _a : [] : (_b = document == null ? void 0 : document.elementFromPoint(toValue(x), toValue(y))) != null ? _b : null;\n  };\n  const controls = interval === \"requestAnimationFrame\" ? useRafFn(cb, { immediate }) : useIntervalFn(cb, interval, { immediate });\n  return {\n    isSupported,\n    element,\n    ...controls\n  };\n}\n\nfunction useElementHover(el, options = {}) {\n  const {\n    delayEnter = 0,\n    delayLeave = 0,\n    window = defaultWindow\n  } = options;\n  const isHovered = ref(false);\n  let timer;\n  const toggle = (entering) => {\n    const delay = entering ? delayEnter : delayLeave;\n    if (timer) {\n      clearTimeout(timer);\n      timer = void 0;\n    }\n    if (delay)\n      timer = setTimeout(() => isHovered.value = entering, delay);\n    else\n      isHovered.value = entering;\n  };\n  if (!window)\n    return isHovered;\n  useEventListener(el, \"mouseenter\", () => toggle(true), { passive: true });\n  useEventListener(el, \"mouseleave\", () => toggle(false), { passive: true });\n  return isHovered;\n}\n\nfunction useElementSize(target, initialSize = { width: 0, height: 0 }, options = {}) {\n  const { window = defaultWindow, box = \"content-box\" } = options;\n  const isSVG = computed(() => {\n    var _a, _b;\n    return (_b = (_a = unrefElement(target)) == null ? void 0 : _a.namespaceURI) == null ? void 0 : _b.includes(\"svg\");\n  });\n  const width = ref(initialSize.width);\n  const height = ref(initialSize.height);\n  const { stop: stop1 } = useResizeObserver(\n    target,\n    ([entry]) => {\n      const boxSize = box === \"border-box\" ? entry.borderBoxSize : box === \"content-box\" ? entry.contentBoxSize : entry.devicePixelContentBoxSize;\n      if (window && isSVG.value) {\n        const $elem = unrefElement(target);\n        if ($elem) {\n          const rect = $elem.getBoundingClientRect();\n          width.value = rect.width;\n          height.value = rect.height;\n        }\n      } else {\n        if (boxSize) {\n          const formatBoxSize = Array.isArray(boxSize) ? boxSize : [boxSize];\n          width.value = formatBoxSize.reduce((acc, { inlineSize }) => acc + inlineSize, 0);\n          height.value = formatBoxSize.reduce((acc, { blockSize }) => acc + blockSize, 0);\n        } else {\n          width.value = entry.contentRect.width;\n          height.value = entry.contentRect.height;\n        }\n      }\n    },\n    options\n  );\n  tryOnMounted(() => {\n    const ele = unrefElement(target);\n    if (ele) {\n      width.value = \"offsetWidth\" in ele ? ele.offsetWidth : initialSize.width;\n      height.value = \"offsetHeight\" in ele ? ele.offsetHeight : initialSize.height;\n    }\n  });\n  const stop2 = watch(\n    () => unrefElement(target),\n    (ele) => {\n      width.value = ele ? initialSize.width : 0;\n      height.value = ele ? initialSize.height : 0;\n    }\n  );\n  function stop() {\n    stop1();\n    stop2();\n  }\n  return {\n    width,\n    height,\n    stop\n  };\n}\n\nfunction useIntersectionObserver(target, callback, options = {}) {\n  const {\n    root,\n    rootMargin = \"0px\",\n    threshold = 0,\n    window = defaultWindow,\n    immediate = true\n  } = options;\n  const isSupported = useSupported(() => window && \"IntersectionObserver\" in window);\n  const targets = computed(() => {\n    const _target = toValue(target);\n    return (Array.isArray(_target) ? _target : [_target]).map(unrefElement).filter(notNullish);\n  });\n  let cleanup = noop;\n  const isActive = ref(immediate);\n  const stopWatch = isSupported.value ? watch(\n    () => [targets.value, unrefElement(root), isActive.value],\n    ([targets2, root2]) => {\n      cleanup();\n      if (!isActive.value)\n        return;\n      if (!targets2.length)\n        return;\n      const observer = new IntersectionObserver(\n        callback,\n        {\n          root: unrefElement(root2),\n          rootMargin,\n          threshold\n        }\n      );\n      targets2.forEach((el) => el && observer.observe(el));\n      cleanup = () => {\n        observer.disconnect();\n        cleanup = noop;\n      };\n    },\n    { immediate, flush: \"post\" }\n  ) : noop;\n  const stop = () => {\n    cleanup();\n    stopWatch();\n    isActive.value = false;\n  };\n  tryOnScopeDispose(stop);\n  return {\n    isSupported,\n    isActive,\n    pause() {\n      cleanup();\n      isActive.value = false;\n    },\n    resume() {\n      isActive.value = true;\n    },\n    stop\n  };\n}\n\nfunction useElementVisibility(element, options = {}) {\n  const { window = defaultWindow, scrollTarget, threshold = 0 } = options;\n  const elementIsVisible = ref(false);\n  useIntersectionObserver(\n    element,\n    (intersectionObserverEntries) => {\n      let isIntersecting = elementIsVisible.value;\n      let latestTime = 0;\n      for (const entry of intersectionObserverEntries) {\n        if (entry.time >= latestTime) {\n          latestTime = entry.time;\n          isIntersecting = entry.isIntersecting;\n        }\n      }\n      elementIsVisible.value = isIntersecting;\n    },\n    {\n      root: scrollTarget,\n      window,\n      threshold\n    }\n  );\n  return elementIsVisible;\n}\n\nconst events = /* @__PURE__ */ new Map();\n\nfunction useEventBus(key) {\n  const scope = getCurrentScope();\n  function on(listener) {\n    var _a;\n    const listeners = events.get(key) || /* @__PURE__ */ new Set();\n    listeners.add(listener);\n    events.set(key, listeners);\n    const _off = () => off(listener);\n    (_a = scope == null ? void 0 : scope.cleanups) == null ? void 0 : _a.push(_off);\n    return _off;\n  }\n  function once(listener) {\n    function _listener(...args) {\n      off(_listener);\n      listener(...args);\n    }\n    return on(_listener);\n  }\n  function off(listener) {\n    const listeners = events.get(key);\n    if (!listeners)\n      return;\n    listeners.delete(listener);\n    if (!listeners.size)\n      reset();\n  }\n  function reset() {\n    events.delete(key);\n  }\n  function emit(event, payload) {\n    var _a;\n    (_a = events.get(key)) == null ? void 0 : _a.forEach((v) => v(event, payload));\n  }\n  return { on, once, off, emit, reset };\n}\n\nfunction resolveNestedOptions$1(options) {\n  if (options === true)\n    return {};\n  return options;\n}\nfunction useEventSource(url, events = [], options = {}) {\n  const event = ref(null);\n  const data = ref(null);\n  const status = ref(\"CONNECTING\");\n  const eventSource = ref(null);\n  const error = shallowRef(null);\n  const urlRef = toRef(url);\n  const lastEventId = shallowRef(null);\n  let explicitlyClosed = false;\n  let retried = 0;\n  const {\n    withCredentials = false,\n    immediate = true\n  } = options;\n  const close = () => {\n    if (isClient && eventSource.value) {\n      eventSource.value.close();\n      eventSource.value = null;\n      status.value = \"CLOSED\";\n      explicitlyClosed = true;\n    }\n  };\n  const _init = () => {\n    if (explicitlyClosed || typeof urlRef.value === \"undefined\")\n      return;\n    const es = new EventSource(urlRef.value, { withCredentials });\n    status.value = \"CONNECTING\";\n    eventSource.value = es;\n    es.onopen = () => {\n      status.value = \"OPEN\";\n      error.value = null;\n    };\n    es.onerror = (e) => {\n      status.value = \"CLOSED\";\n      error.value = e;\n      if (es.readyState === 2 && !explicitlyClosed && options.autoReconnect) {\n        es.close();\n        const {\n          retries = -1,\n          delay = 1e3,\n          onFailed\n        } = resolveNestedOptions$1(options.autoReconnect);\n        retried += 1;\n        if (typeof retries === \"number\" && (retries < 0 || retried < retries))\n          setTimeout(_init, delay);\n        else if (typeof retries === \"function\" && retries())\n          setTimeout(_init, delay);\n        else\n          onFailed == null ? void 0 : onFailed();\n      }\n    };\n    es.onmessage = (e) => {\n      event.value = null;\n      data.value = e.data;\n      lastEventId.value = e.lastEventId;\n    };\n    for (const event_name of events) {\n      useEventListener(es, event_name, (e) => {\n        event.value = event_name;\n        data.value = e.data || null;\n      });\n    }\n  };\n  const open = () => {\n    if (!isClient)\n      return;\n    close();\n    explicitlyClosed = false;\n    retried = 0;\n    _init();\n  };\n  if (immediate)\n    watch(urlRef, open, { immediate: true });\n  tryOnScopeDispose(close);\n  return {\n    eventSource,\n    event,\n    data,\n    status,\n    error,\n    open,\n    close,\n    lastEventId\n  };\n}\n\nfunction useEyeDropper(options = {}) {\n  const { initialValue = \"\" } = options;\n  const isSupported = useSupported(() => typeof window !== \"undefined\" && \"EyeDropper\" in window);\n  const sRGBHex = ref(initialValue);\n  async function open(openOptions) {\n    if (!isSupported.value)\n      return;\n    const eyeDropper = new window.EyeDropper();\n    const result = await eyeDropper.open(openOptions);\n    sRGBHex.value = result.sRGBHex;\n    return result;\n  }\n  return { isSupported, sRGBHex, open };\n}\n\nfunction useFavicon(newIcon = null, options = {}) {\n  const {\n    baseUrl = \"\",\n    rel = \"icon\",\n    document = defaultDocument\n  } = options;\n  const favicon = toRef(newIcon);\n  const applyIcon = (icon) => {\n    const elements = document == null ? void 0 : document.head.querySelectorAll(`link[rel*=\"${rel}\"]`);\n    if (!elements || elements.length === 0) {\n      const link = document == null ? void 0 : document.createElement(\"link\");\n      if (link) {\n        link.rel = rel;\n        link.href = `${baseUrl}${icon}`;\n        link.type = `image/${icon.split(\".\").pop()}`;\n        document == null ? void 0 : document.head.append(link);\n      }\n      return;\n    }\n    elements == null ? void 0 : elements.forEach((el) => el.href = `${baseUrl}${icon}`);\n  };\n  watch(\n    favicon,\n    (i, o) => {\n      if (typeof i === \"string\" && i !== o)\n        applyIcon(i);\n    },\n    { immediate: true }\n  );\n  return favicon;\n}\n\nconst payloadMapping = {\n  json: \"application/json\",\n  text: \"text/plain\"\n};\nfunction isFetchOptions(obj) {\n  return obj && containsProp(obj, \"immediate\", \"refetch\", \"initialData\", \"timeout\", \"beforeFetch\", \"afterFetch\", \"onFetchError\", \"fetch\", \"updateDataOnError\");\n}\nconst reAbsolute = /^(?:[a-z][a-z\\d+\\-.]*:)?\\/\\//i;\nfunction isAbsoluteURL(url) {\n  return reAbsolute.test(url);\n}\nfunction headersToObject(headers) {\n  if (typeof Headers !== \"undefined\" && headers instanceof Headers)\n    return Object.fromEntries(headers.entries());\n  return headers;\n}\nfunction combineCallbacks(combination, ...callbacks) {\n  if (combination === \"overwrite\") {\n    return async (ctx) => {\n      const callback = callbacks[callbacks.length - 1];\n      if (callback)\n        return { ...ctx, ...await callback(ctx) };\n      return ctx;\n    };\n  } else {\n    return async (ctx) => {\n      for (const callback of callbacks) {\n        if (callback)\n          ctx = { ...ctx, ...await callback(ctx) };\n      }\n      return ctx;\n    };\n  }\n}\nfunction createFetch(config = {}) {\n  const _combination = config.combination || \"chain\";\n  const _options = config.options || {};\n  const _fetchOptions = config.fetchOptions || {};\n  function useFactoryFetch(url, ...args) {\n    const computedUrl = computed(() => {\n      const baseUrl = toValue(config.baseUrl);\n      const targetUrl = toValue(url);\n      return baseUrl && !isAbsoluteURL(targetUrl) ? joinPaths(baseUrl, targetUrl) : targetUrl;\n    });\n    let options = _options;\n    let fetchOptions = _fetchOptions;\n    if (args.length > 0) {\n      if (isFetchOptions(args[0])) {\n        options = {\n          ...options,\n          ...args[0],\n          beforeFetch: combineCallbacks(_combination, _options.beforeFetch, args[0].beforeFetch),\n          afterFetch: combineCallbacks(_combination, _options.afterFetch, args[0].afterFetch),\n          onFetchError: combineCallbacks(_combination, _options.onFetchError, args[0].onFetchError)\n        };\n      } else {\n        fetchOptions = {\n          ...fetchOptions,\n          ...args[0],\n          headers: {\n            ...headersToObject(fetchOptions.headers) || {},\n            ...headersToObject(args[0].headers) || {}\n          }\n        };\n      }\n    }\n    if (args.length > 1 && isFetchOptions(args[1])) {\n      options = {\n        ...options,\n        ...args[1],\n        beforeFetch: combineCallbacks(_combination, _options.beforeFetch, args[1].beforeFetch),\n        afterFetch: combineCallbacks(_combination, _options.afterFetch, args[1].afterFetch),\n        onFetchError: combineCallbacks(_combination, _options.onFetchError, args[1].onFetchError)\n      };\n    }\n    return useFetch(computedUrl, fetchOptions, options);\n  }\n  return useFactoryFetch;\n}\nfunction useFetch(url, ...args) {\n  var _a;\n  const supportsAbort = typeof AbortController === \"function\";\n  let fetchOptions = {};\n  let options = {\n    immediate: true,\n    refetch: false,\n    timeout: 0,\n    updateDataOnError: false\n  };\n  const config = {\n    method: \"GET\",\n    type: \"text\",\n    payload: void 0\n  };\n  if (args.length > 0) {\n    if (isFetchOptions(args[0]))\n      options = { ...options, ...args[0] };\n    else\n      fetchOptions = args[0];\n  }\n  if (args.length > 1) {\n    if (isFetchOptions(args[1]))\n      options = { ...options, ...args[1] };\n  }\n  const {\n    fetch = (_a = defaultWindow) == null ? void 0 : _a.fetch,\n    initialData,\n    timeout\n  } = options;\n  const responseEvent = createEventHook();\n  const errorEvent = createEventHook();\n  const finallyEvent = createEventHook();\n  const isFinished = ref(false);\n  const isFetching = ref(false);\n  const aborted = ref(false);\n  const statusCode = ref(null);\n  const response = shallowRef(null);\n  const error = shallowRef(null);\n  const data = shallowRef(initialData || null);\n  const canAbort = computed(() => supportsAbort && isFetching.value);\n  let controller;\n  let timer;\n  const abort = () => {\n    if (supportsAbort) {\n      controller == null ? void 0 : controller.abort();\n      controller = new AbortController();\n      controller.signal.onabort = () => aborted.value = true;\n      fetchOptions = {\n        ...fetchOptions,\n        signal: controller.signal\n      };\n    }\n  };\n  const loading = (isLoading) => {\n    isFetching.value = isLoading;\n    isFinished.value = !isLoading;\n  };\n  if (timeout)\n    timer = useTimeoutFn(abort, timeout, { immediate: false });\n  let executeCounter = 0;\n  const execute = async (throwOnFailed = false) => {\n    var _a2, _b;\n    abort();\n    loading(true);\n    error.value = null;\n    statusCode.value = null;\n    aborted.value = false;\n    executeCounter += 1;\n    const currentExecuteCounter = executeCounter;\n    const defaultFetchOptions = {\n      method: config.method,\n      headers: {}\n    };\n    if (config.payload) {\n      const headers = headersToObject(defaultFetchOptions.headers);\n      const payload = toValue(config.payload);\n      if (!config.payloadType && payload && Object.getPrototypeOf(payload) === Object.prototype && !(payload instanceof FormData))\n        config.payloadType = \"json\";\n      if (config.payloadType)\n        headers[\"Content-Type\"] = (_a2 = payloadMapping[config.payloadType]) != null ? _a2 : config.payloadType;\n      defaultFetchOptions.body = config.payloadType === \"json\" ? JSON.stringify(payload) : payload;\n    }\n    let isCanceled = false;\n    const context = {\n      url: toValue(url),\n      options: {\n        ...defaultFetchOptions,\n        ...fetchOptions\n      },\n      cancel: () => {\n        isCanceled = true;\n      }\n    };\n    if (options.beforeFetch)\n      Object.assign(context, await options.beforeFetch(context));\n    if (isCanceled || !fetch) {\n      loading(false);\n      return Promise.resolve(null);\n    }\n    let responseData = null;\n    if (timer)\n      timer.start();\n    return fetch(\n      context.url,\n      {\n        ...defaultFetchOptions,\n        ...context.options,\n        headers: {\n          ...headersToObject(defaultFetchOptions.headers),\n          ...headersToObject((_b = context.options) == null ? void 0 : _b.headers)\n        }\n      }\n    ).then(async (fetchResponse) => {\n      response.value = fetchResponse;\n      statusCode.value = fetchResponse.status;\n      responseData = await fetchResponse.clone()[config.type]();\n      if (!fetchResponse.ok) {\n        data.value = initialData || null;\n        throw new Error(fetchResponse.statusText);\n      }\n      if (options.afterFetch) {\n        ({ data: responseData } = await options.afterFetch({\n          data: responseData,\n          response: fetchResponse\n        }));\n      }\n      data.value = responseData;\n      responseEvent.trigger(fetchResponse);\n      return fetchResponse;\n    }).catch(async (fetchError) => {\n      let errorData = fetchError.message || fetchError.name;\n      if (options.onFetchError) {\n        ({ error: errorData, data: responseData } = await options.onFetchError({\n          data: responseData,\n          error: fetchError,\n          response: response.value\n        }));\n      }\n      error.value = errorData;\n      if (options.updateDataOnError)\n        data.value = responseData;\n      errorEvent.trigger(fetchError);\n      if (throwOnFailed)\n        throw fetchError;\n      return null;\n    }).finally(() => {\n      if (currentExecuteCounter === executeCounter)\n        loading(false);\n      if (timer)\n        timer.stop();\n      finallyEvent.trigger(null);\n    });\n  };\n  const refetch = toRef(options.refetch);\n  watch(\n    [\n      refetch,\n      toRef(url)\n    ],\n    ([refetch2]) => refetch2 && execute(),\n    { deep: true }\n  );\n  const shell = {\n    isFinished: readonly(isFinished),\n    isFetching: readonly(isFetching),\n    statusCode,\n    response,\n    error,\n    data,\n    canAbort,\n    aborted,\n    abort,\n    execute,\n    onFetchResponse: responseEvent.on,\n    onFetchError: errorEvent.on,\n    onFetchFinally: finallyEvent.on,\n    // method\n    get: setMethod(\"GET\"),\n    put: setMethod(\"PUT\"),\n    post: setMethod(\"POST\"),\n    delete: setMethod(\"DELETE\"),\n    patch: setMethod(\"PATCH\"),\n    head: setMethod(\"HEAD\"),\n    options: setMethod(\"OPTIONS\"),\n    // type\n    json: setType(\"json\"),\n    text: setType(\"text\"),\n    blob: setType(\"blob\"),\n    arrayBuffer: setType(\"arrayBuffer\"),\n    formData: setType(\"formData\")\n  };\n  function setMethod(method) {\n    return (payload, payloadType) => {\n      if (!isFetching.value) {\n        config.method = method;\n        config.payload = payload;\n        config.payloadType = payloadType;\n        if (isRef(config.payload)) {\n          watch(\n            [\n              refetch,\n              toRef(config.payload)\n            ],\n            ([refetch2]) => refetch2 && execute(),\n            { deep: true }\n          );\n        }\n        return {\n          ...shell,\n          then(onFulfilled, onRejected) {\n            return waitUntilFinished().then(onFulfilled, onRejected);\n          }\n        };\n      }\n      return void 0;\n    };\n  }\n  function waitUntilFinished() {\n    return new Promise((resolve, reject) => {\n      until(isFinished).toBe(true).then(() => resolve(shell)).catch((error2) => reject(error2));\n    });\n  }\n  function setType(type) {\n    return () => {\n      if (!isFetching.value) {\n        config.type = type;\n        return {\n          ...shell,\n          then(onFulfilled, onRejected) {\n            return waitUntilFinished().then(onFulfilled, onRejected);\n          }\n        };\n      }\n      return void 0;\n    };\n  }\n  if (options.immediate)\n    Promise.resolve().then(() => execute());\n  return {\n    ...shell,\n    then(onFulfilled, onRejected) {\n      return waitUntilFinished().then(onFulfilled, onRejected);\n    }\n  };\n}\nfunction joinPaths(start, end) {\n  if (!start.endsWith(\"/\") && !end.startsWith(\"/\"))\n    return `${start}/${end}`;\n  return `${start}${end}`;\n}\n\nconst DEFAULT_OPTIONS = {\n  multiple: true,\n  accept: \"*\",\n  reset: false,\n  directory: false\n};\nfunction useFileDialog(options = {}) {\n  const {\n    document = defaultDocument\n  } = options;\n  const files = ref(null);\n  const { on: onChange, trigger } = createEventHook();\n  let input;\n  if (document) {\n    input = document.createElement(\"input\");\n    input.type = \"file\";\n    input.onchange = (event) => {\n      const result = event.target;\n      files.value = result.files;\n      trigger(files.value);\n    };\n  }\n  const reset = () => {\n    files.value = null;\n    if (input && input.value) {\n      input.value = \"\";\n      trigger(null);\n    }\n  };\n  const open = (localOptions) => {\n    if (!input)\n      return;\n    const _options = {\n      ...DEFAULT_OPTIONS,\n      ...options,\n      ...localOptions\n    };\n    input.multiple = _options.multiple;\n    input.accept = _options.accept;\n    input.webkitdirectory = _options.directory;\n    if (hasOwn(_options, \"capture\"))\n      input.capture = _options.capture;\n    if (_options.reset)\n      reset();\n    input.click();\n  };\n  return {\n    files: readonly(files),\n    open,\n    reset,\n    onChange\n  };\n}\n\nfunction useFileSystemAccess(options = {}) {\n  const {\n    window: _window = defaultWindow,\n    dataType = \"Text\"\n  } = options;\n  const window = _window;\n  const isSupported = useSupported(() => window && \"showSaveFilePicker\" in window && \"showOpenFilePicker\" in window);\n  const fileHandle = ref();\n  const data = ref();\n  const file = ref();\n  const fileName = computed(() => {\n    var _a, _b;\n    return (_b = (_a = file.value) == null ? void 0 : _a.name) != null ? _b : \"\";\n  });\n  const fileMIME = computed(() => {\n    var _a, _b;\n    return (_b = (_a = file.value) == null ? void 0 : _a.type) != null ? _b : \"\";\n  });\n  const fileSize = computed(() => {\n    var _a, _b;\n    return (_b = (_a = file.value) == null ? void 0 : _a.size) != null ? _b : 0;\n  });\n  const fileLastModified = computed(() => {\n    var _a, _b;\n    return (_b = (_a = file.value) == null ? void 0 : _a.lastModified) != null ? _b : 0;\n  });\n  async function open(_options = {}) {\n    if (!isSupported.value)\n      return;\n    const [handle] = await window.showOpenFilePicker({ ...toValue(options), ..._options });\n    fileHandle.value = handle;\n    await updateData();\n  }\n  async function create(_options = {}) {\n    if (!isSupported.value)\n      return;\n    fileHandle.value = await window.showSaveFilePicker({ ...options, ..._options });\n    data.value = void 0;\n    await updateData();\n  }\n  async function save(_options = {}) {\n    if (!isSupported.value)\n      return;\n    if (!fileHandle.value)\n      return saveAs(_options);\n    if (data.value) {\n      const writableStream = await fileHandle.value.createWritable();\n      await writableStream.write(data.value);\n      await writableStream.close();\n    }\n    await updateFile();\n  }\n  async function saveAs(_options = {}) {\n    if (!isSupported.value)\n      return;\n    fileHandle.value = await window.showSaveFilePicker({ ...options, ..._options });\n    if (data.value) {\n      const writableStream = await fileHandle.value.createWritable();\n      await writableStream.write(data.value);\n      await writableStream.close();\n    }\n    await updateFile();\n  }\n  async function updateFile() {\n    var _a;\n    file.value = await ((_a = fileHandle.value) == null ? void 0 : _a.getFile());\n  }\n  async function updateData() {\n    var _a, _b;\n    await updateFile();\n    const type = toValue(dataType);\n    if (type === \"Text\")\n      data.value = await ((_a = file.value) == null ? void 0 : _a.text());\n    else if (type === \"ArrayBuffer\")\n      data.value = await ((_b = file.value) == null ? void 0 : _b.arrayBuffer());\n    else if (type === \"Blob\")\n      data.value = file.value;\n  }\n  watch(() => toValue(dataType), updateData);\n  return {\n    isSupported,\n    data,\n    file,\n    fileName,\n    fileMIME,\n    fileSize,\n    fileLastModified,\n    open,\n    create,\n    save,\n    saveAs,\n    updateData\n  };\n}\n\nfunction useFocus(target, options = {}) {\n  const { initialValue = false, focusVisible = false, preventScroll = false } = options;\n  const innerFocused = ref(false);\n  const targetElement = computed(() => unrefElement(target));\n  useEventListener(targetElement, \"focus\", (event) => {\n    var _a, _b;\n    if (!focusVisible || ((_b = (_a = event.target).matches) == null ? void 0 : _b.call(_a, \":focus-visible\")))\n      innerFocused.value = true;\n  });\n  useEventListener(targetElement, \"blur\", () => innerFocused.value = false);\n  const focused = computed({\n    get: () => innerFocused.value,\n    set(value) {\n      var _a, _b;\n      if (!value && innerFocused.value)\n        (_a = targetElement.value) == null ? void 0 : _a.blur();\n      else if (value && !innerFocused.value)\n        (_b = targetElement.value) == null ? void 0 : _b.focus({ preventScroll });\n    }\n  });\n  watch(\n    targetElement,\n    () => {\n      focused.value = initialValue;\n    },\n    { immediate: true, flush: \"post\" }\n  );\n  return { focused };\n}\n\nfunction useFocusWithin(target, options = {}) {\n  const activeElement = useActiveElement(options);\n  const targetElement = computed(() => unrefElement(target));\n  const focused = computed(() => targetElement.value && activeElement.value ? targetElement.value.contains(activeElement.value) : false);\n  return { focused };\n}\n\nfunction useFps(options) {\n  var _a;\n  const fps = ref(0);\n  if (typeof performance === \"undefined\")\n    return fps;\n  const every = (_a = options == null ? void 0 : options.every) != null ? _a : 10;\n  let last = performance.now();\n  let ticks = 0;\n  useRafFn(() => {\n    ticks += 1;\n    if (ticks >= every) {\n      const now = performance.now();\n      const diff = now - last;\n      fps.value = Math.round(1e3 / (diff / ticks));\n      last = now;\n      ticks = 0;\n    }\n  });\n  return fps;\n}\n\nconst eventHandlers = [\n  \"fullscreenchange\",\n  \"webkitfullscreenchange\",\n  \"webkitendfullscreen\",\n  \"mozfullscreenchange\",\n  \"MSFullscreenChange\"\n];\nfunction useFullscreen(target, options = {}) {\n  const {\n    document = defaultDocument,\n    autoExit = false\n  } = options;\n  const targetRef = computed(() => {\n    var _a;\n    return (_a = unrefElement(target)) != null ? _a : document == null ? void 0 : document.querySelector(\"html\");\n  });\n  const isFullscreen = ref(false);\n  const requestMethod = computed(() => {\n    return [\n      \"requestFullscreen\",\n      \"webkitRequestFullscreen\",\n      \"webkitEnterFullscreen\",\n      \"webkitEnterFullScreen\",\n      \"webkitRequestFullScreen\",\n      \"mozRequestFullScreen\",\n      \"msRequestFullscreen\"\n    ].find((m) => document && m in document || targetRef.value && m in targetRef.value);\n  });\n  const exitMethod = computed(() => {\n    return [\n      \"exitFullscreen\",\n      \"webkitExitFullscreen\",\n      \"webkitExitFullScreen\",\n      \"webkitCancelFullScreen\",\n      \"mozCancelFullScreen\",\n      \"msExitFullscreen\"\n    ].find((m) => document && m in document || targetRef.value && m in targetRef.value);\n  });\n  const fullscreenEnabled = computed(() => {\n    return [\n      \"fullScreen\",\n      \"webkitIsFullScreen\",\n      \"webkitDisplayingFullscreen\",\n      \"mozFullScreen\",\n      \"msFullscreenElement\"\n    ].find((m) => document && m in document || targetRef.value && m in targetRef.value);\n  });\n  const fullscreenElementMethod = [\n    \"fullscreenElement\",\n    \"webkitFullscreenElement\",\n    \"mozFullScreenElement\",\n    \"msFullscreenElement\"\n  ].find((m) => document && m in document);\n  const isSupported = useSupported(() => targetRef.value && document && requestMethod.value !== void 0 && exitMethod.value !== void 0 && fullscreenEnabled.value !== void 0);\n  const isCurrentElementFullScreen = () => {\n    if (fullscreenElementMethod)\n      return (document == null ? void 0 : document[fullscreenElementMethod]) === targetRef.value;\n    return false;\n  };\n  const isElementFullScreen = () => {\n    if (fullscreenEnabled.value) {\n      if (document && document[fullscreenEnabled.value] != null) {\n        return document[fullscreenEnabled.value];\n      } else {\n        const target2 = targetRef.value;\n        if ((target2 == null ? void 0 : target2[fullscreenEnabled.value]) != null) {\n          return Boolean(target2[fullscreenEnabled.value]);\n        }\n      }\n    }\n    return false;\n  };\n  async function exit() {\n    if (!isSupported.value || !isFullscreen.value)\n      return;\n    if (exitMethod.value) {\n      if ((document == null ? void 0 : document[exitMethod.value]) != null) {\n        await document[exitMethod.value]();\n      } else {\n        const target2 = targetRef.value;\n        if ((target2 == null ? void 0 : target2[exitMethod.value]) != null)\n          await target2[exitMethod.value]();\n      }\n    }\n    isFullscreen.value = false;\n  }\n  async function enter() {\n    if (!isSupported.value || isFullscreen.value)\n      return;\n    if (isElementFullScreen())\n      await exit();\n    const target2 = targetRef.value;\n    if (requestMethod.value && (target2 == null ? void 0 : target2[requestMethod.value]) != null) {\n      await target2[requestMethod.value]();\n      isFullscreen.value = true;\n    }\n  }\n  async function toggle() {\n    await (isFullscreen.value ? exit() : enter());\n  }\n  const handlerCallback = () => {\n    const isElementFullScreenValue = isElementFullScreen();\n    if (!isElementFullScreenValue || isElementFullScreenValue && isCurrentElementFullScreen())\n      isFullscreen.value = isElementFullScreenValue;\n  };\n  useEventListener(document, eventHandlers, handlerCallback, false);\n  useEventListener(() => unrefElement(targetRef), eventHandlers, handlerCallback, false);\n  if (autoExit)\n    tryOnScopeDispose(exit);\n  return {\n    isSupported,\n    isFullscreen,\n    enter,\n    exit,\n    toggle\n  };\n}\n\nfunction mapGamepadToXbox360Controller(gamepad) {\n  return computed(() => {\n    if (gamepad.value) {\n      return {\n        buttons: {\n          a: gamepad.value.buttons[0],\n          b: gamepad.value.buttons[1],\n          x: gamepad.value.buttons[2],\n          y: gamepad.value.buttons[3]\n        },\n        bumper: {\n          left: gamepad.value.buttons[4],\n          right: gamepad.value.buttons[5]\n        },\n        triggers: {\n          left: gamepad.value.buttons[6],\n          right: gamepad.value.buttons[7]\n        },\n        stick: {\n          left: {\n            horizontal: gamepad.value.axes[0],\n            vertical: gamepad.value.axes[1],\n            button: gamepad.value.buttons[10]\n          },\n          right: {\n            horizontal: gamepad.value.axes[2],\n            vertical: gamepad.value.axes[3],\n            button: gamepad.value.buttons[11]\n          }\n        },\n        dpad: {\n          up: gamepad.value.buttons[12],\n          down: gamepad.value.buttons[13],\n          left: gamepad.value.buttons[14],\n          right: gamepad.value.buttons[15]\n        },\n        back: gamepad.value.buttons[8],\n        start: gamepad.value.buttons[9]\n      };\n    }\n    return null;\n  });\n}\nfunction useGamepad(options = {}) {\n  const {\n    navigator = defaultNavigator\n  } = options;\n  const isSupported = useSupported(() => navigator && \"getGamepads\" in navigator);\n  const gamepads = ref([]);\n  const onConnectedHook = createEventHook();\n  const onDisconnectedHook = createEventHook();\n  const stateFromGamepad = (gamepad) => {\n    const hapticActuators = [];\n    const vibrationActuator = \"vibrationActuator\" in gamepad ? gamepad.vibrationActuator : null;\n    if (vibrationActuator)\n      hapticActuators.push(vibrationActuator);\n    if (gamepad.hapticActuators)\n      hapticActuators.push(...gamepad.hapticActuators);\n    return {\n      id: gamepad.id,\n      index: gamepad.index,\n      connected: gamepad.connected,\n      mapping: gamepad.mapping,\n      timestamp: gamepad.timestamp,\n      vibrationActuator: gamepad.vibrationActuator,\n      hapticActuators,\n      axes: gamepad.axes.map((axes) => axes),\n      buttons: gamepad.buttons.map((button) => ({ pressed: button.pressed, touched: button.touched, value: button.value }))\n    };\n  };\n  const updateGamepadState = () => {\n    const _gamepads = (navigator == null ? void 0 : navigator.getGamepads()) || [];\n    for (const gamepad of _gamepads) {\n      if (gamepad && gamepads.value[gamepad.index])\n        gamepads.value[gamepad.index] = stateFromGamepad(gamepad);\n    }\n  };\n  const { isActive, pause, resume } = useRafFn(updateGamepadState);\n  const onGamepadConnected = (gamepad) => {\n    if (!gamepads.value.some(({ index }) => index === gamepad.index)) {\n      gamepads.value.push(stateFromGamepad(gamepad));\n      onConnectedHook.trigger(gamepad.index);\n    }\n    resume();\n  };\n  const onGamepadDisconnected = (gamepad) => {\n    gamepads.value = gamepads.value.filter((x) => x.index !== gamepad.index);\n    onDisconnectedHook.trigger(gamepad.index);\n  };\n  useEventListener(\"gamepadconnected\", (e) => onGamepadConnected(e.gamepad));\n  useEventListener(\"gamepaddisconnected\", (e) => onGamepadDisconnected(e.gamepad));\n  tryOnMounted(() => {\n    const _gamepads = (navigator == null ? void 0 : navigator.getGamepads()) || [];\n    for (const gamepad of _gamepads) {\n      if (gamepad && gamepads.value[gamepad.index])\n        onGamepadConnected(gamepad);\n    }\n  });\n  pause();\n  return {\n    isSupported,\n    onConnected: onConnectedHook.on,\n    onDisconnected: onDisconnectedHook.on,\n    gamepads,\n    pause,\n    resume,\n    isActive\n  };\n}\n\nfunction useGeolocation(options = {}) {\n  const {\n    enableHighAccuracy = true,\n    maximumAge = 3e4,\n    timeout = 27e3,\n    navigator = defaultNavigator,\n    immediate = true\n  } = options;\n  const isSupported = useSupported(() => navigator && \"geolocation\" in navigator);\n  const locatedAt = ref(null);\n  const error = shallowRef(null);\n  const coords = ref({\n    accuracy: 0,\n    latitude: Number.POSITIVE_INFINITY,\n    longitude: Number.POSITIVE_INFINITY,\n    altitude: null,\n    altitudeAccuracy: null,\n    heading: null,\n    speed: null\n  });\n  function updatePosition(position) {\n    locatedAt.value = position.timestamp;\n    coords.value = position.coords;\n    error.value = null;\n  }\n  let watcher;\n  function resume() {\n    if (isSupported.value) {\n      watcher = navigator.geolocation.watchPosition(\n        updatePosition,\n        (err) => error.value = err,\n        {\n          enableHighAccuracy,\n          maximumAge,\n          timeout\n        }\n      );\n    }\n  }\n  if (immediate)\n    resume();\n  function pause() {\n    if (watcher && navigator)\n      navigator.geolocation.clearWatch(watcher);\n  }\n  tryOnScopeDispose(() => {\n    pause();\n  });\n  return {\n    isSupported,\n    coords,\n    locatedAt,\n    error,\n    resume,\n    pause\n  };\n}\n\nconst defaultEvents$1 = [\"mousemove\", \"mousedown\", \"resize\", \"keydown\", \"touchstart\", \"wheel\"];\nconst oneMinute = 6e4;\nfunction useIdle(timeout = oneMinute, options = {}) {\n  const {\n    initialState = false,\n    listenForVisibilityChange = true,\n    events = defaultEvents$1,\n    window = defaultWindow,\n    eventFilter = throttleFilter(50)\n  } = options;\n  const idle = ref(initialState);\n  const lastActive = ref(timestamp());\n  let timer;\n  const reset = () => {\n    idle.value = false;\n    clearTimeout(timer);\n    timer = setTimeout(() => idle.value = true, timeout);\n  };\n  const onEvent = createFilterWrapper(\n    eventFilter,\n    () => {\n      lastActive.value = timestamp();\n      reset();\n    }\n  );\n  if (window) {\n    const document = window.document;\n    for (const event of events)\n      useEventListener(window, event, onEvent, { passive: true });\n    if (listenForVisibilityChange) {\n      useEventListener(document, \"visibilitychange\", () => {\n        if (!document.hidden)\n          onEvent();\n      });\n    }\n    reset();\n  }\n  return {\n    idle,\n    lastActive,\n    reset\n  };\n}\n\nasync function loadImage(options) {\n  return new Promise((resolve, reject) => {\n    const img = new Image();\n    const { src, srcset, sizes, class: clazz, loading, crossorigin, referrerPolicy } = options;\n    img.src = src;\n    if (srcset)\n      img.srcset = srcset;\n    if (sizes)\n      img.sizes = sizes;\n    if (clazz)\n      img.className = clazz;\n    if (loading)\n      img.loading = loading;\n    if (crossorigin)\n      img.crossOrigin = crossorigin;\n    if (referrerPolicy)\n      img.referrerPolicy = referrerPolicy;\n    img.onload = () => resolve(img);\n    img.onerror = reject;\n  });\n}\nfunction useImage(options, asyncStateOptions = {}) {\n  const state = useAsyncState(\n    () => loadImage(toValue(options)),\n    void 0,\n    {\n      resetOnExecute: true,\n      ...asyncStateOptions\n    }\n  );\n  watch(\n    () => toValue(options),\n    () => state.execute(asyncStateOptions.delay),\n    { deep: true }\n  );\n  return state;\n}\n\nconst ARRIVED_STATE_THRESHOLD_PIXELS = 1;\nfunction useScroll(element, options = {}) {\n  const {\n    throttle = 0,\n    idle = 200,\n    onStop = noop,\n    onScroll = noop,\n    offset = {\n      left: 0,\n      right: 0,\n      top: 0,\n      bottom: 0\n    },\n    eventListenerOptions = {\n      capture: false,\n      passive: true\n    },\n    behavior = \"auto\",\n    window = defaultWindow,\n    onError = (e) => {\n      console.error(e);\n    }\n  } = options;\n  const internalX = ref(0);\n  const internalY = ref(0);\n  const x = computed({\n    get() {\n      return internalX.value;\n    },\n    set(x2) {\n      scrollTo(x2, void 0);\n    }\n  });\n  const y = computed({\n    get() {\n      return internalY.value;\n    },\n    set(y2) {\n      scrollTo(void 0, y2);\n    }\n  });\n  function scrollTo(_x, _y) {\n    var _a, _b, _c, _d;\n    if (!window)\n      return;\n    const _element = toValue(element);\n    if (!_element)\n      return;\n    (_c = _element instanceof Document ? window.document.body : _element) == null ? void 0 : _c.scrollTo({\n      top: (_a = toValue(_y)) != null ? _a : y.value,\n      left: (_b = toValue(_x)) != null ? _b : x.value,\n      behavior: toValue(behavior)\n    });\n    const scrollContainer = ((_d = _element == null ? void 0 : _element.document) == null ? void 0 : _d.documentElement) || (_element == null ? void 0 : _element.documentElement) || _element;\n    if (x != null)\n      internalX.value = scrollContainer.scrollLeft;\n    if (y != null)\n      internalY.value = scrollContainer.scrollTop;\n  }\n  const isScrolling = ref(false);\n  const arrivedState = reactive({\n    left: true,\n    right: false,\n    top: true,\n    bottom: false\n  });\n  const directions = reactive({\n    left: false,\n    right: false,\n    top: false,\n    bottom: false\n  });\n  const onScrollEnd = (e) => {\n    if (!isScrolling.value)\n      return;\n    isScrolling.value = false;\n    directions.left = false;\n    directions.right = false;\n    directions.top = false;\n    directions.bottom = false;\n    onStop(e);\n  };\n  const onScrollEndDebounced = useDebounceFn(onScrollEnd, throttle + idle);\n  const setArrivedState = (target) => {\n    var _a;\n    if (!window)\n      return;\n    const el = ((_a = target == null ? void 0 : target.document) == null ? void 0 : _a.documentElement) || (target == null ? void 0 : target.documentElement) || unrefElement(target);\n    const { display, flexDirection } = getComputedStyle(el);\n    const scrollLeft = el.scrollLeft;\n    directions.left = scrollLeft < internalX.value;\n    directions.right = scrollLeft > internalX.value;\n    const left = Math.abs(scrollLeft) <= (offset.left || 0);\n    const right = Math.abs(scrollLeft) + el.clientWidth >= el.scrollWidth - (offset.right || 0) - ARRIVED_STATE_THRESHOLD_PIXELS;\n    if (display === \"flex\" && flexDirection === \"row-reverse\") {\n      arrivedState.left = right;\n      arrivedState.right = left;\n    } else {\n      arrivedState.left = left;\n      arrivedState.right = right;\n    }\n    internalX.value = scrollLeft;\n    let scrollTop = el.scrollTop;\n    if (target === window.document && !scrollTop)\n      scrollTop = window.document.body.scrollTop;\n    directions.top = scrollTop < internalY.value;\n    directions.bottom = scrollTop > internalY.value;\n    const top = Math.abs(scrollTop) <= (offset.top || 0);\n    const bottom = Math.abs(scrollTop) + el.clientHeight >= el.scrollHeight - (offset.bottom || 0) - ARRIVED_STATE_THRESHOLD_PIXELS;\n    if (display === \"flex\" && flexDirection === \"column-reverse\") {\n      arrivedState.top = bottom;\n      arrivedState.bottom = top;\n    } else {\n      arrivedState.top = top;\n      arrivedState.bottom = bottom;\n    }\n    internalY.value = scrollTop;\n  };\n  const onScrollHandler = (e) => {\n    var _a;\n    if (!window)\n      return;\n    const eventTarget = (_a = e.target.documentElement) != null ? _a : e.target;\n    setArrivedState(eventTarget);\n    isScrolling.value = true;\n    onScrollEndDebounced(e);\n    onScroll(e);\n  };\n  useEventListener(\n    element,\n    \"scroll\",\n    throttle ? useThrottleFn(onScrollHandler, throttle, true, false) : onScrollHandler,\n    eventListenerOptions\n  );\n  tryOnMounted(() => {\n    try {\n      const _element = toValue(element);\n      if (!_element)\n        return;\n      setArrivedState(_element);\n    } catch (e) {\n      onError(e);\n    }\n  });\n  useEventListener(\n    element,\n    \"scrollend\",\n    onScrollEnd,\n    eventListenerOptions\n  );\n  return {\n    x,\n    y,\n    isScrolling,\n    arrivedState,\n    directions,\n    measure() {\n      const _element = toValue(element);\n      if (window && _element)\n        setArrivedState(_element);\n    }\n  };\n}\n\nfunction resolveElement(el) {\n  if (typeof Window !== \"undefined\" && el instanceof Window)\n    return el.document.documentElement;\n  if (typeof Document !== \"undefined\" && el instanceof Document)\n    return el.documentElement;\n  return el;\n}\n\nfunction useInfiniteScroll(element, onLoadMore, options = {}) {\n  var _a;\n  const {\n    direction = \"bottom\",\n    interval = 100,\n    canLoadMore = () => true\n  } = options;\n  const state = reactive(useScroll(\n    element,\n    {\n      ...options,\n      offset: {\n        [direction]: (_a = options.distance) != null ? _a : 0,\n        ...options.offset\n      }\n    }\n  ));\n  const promise = ref();\n  const isLoading = computed(() => !!promise.value);\n  const observedElement = computed(() => {\n    return resolveElement(toValue(element));\n  });\n  const isElementVisible = useElementVisibility(observedElement);\n  function checkAndLoad() {\n    state.measure();\n    if (!observedElement.value || !isElementVisible.value || !canLoadMore(observedElement.value))\n      return;\n    const { scrollHeight, clientHeight, scrollWidth, clientWidth } = observedElement.value;\n    const isNarrower = direction === \"bottom\" || direction === \"top\" ? scrollHeight <= clientHeight : scrollWidth <= clientWidth;\n    if (state.arrivedState[direction] || isNarrower) {\n      if (!promise.value) {\n        promise.value = Promise.all([\n          onLoadMore(state),\n          new Promise((resolve) => setTimeout(resolve, interval))\n        ]).finally(() => {\n          promise.value = null;\n          nextTick(() => checkAndLoad());\n        });\n      }\n    }\n  }\n  watch(\n    () => [state.arrivedState[direction], isElementVisible.value],\n    checkAndLoad,\n    { immediate: true }\n  );\n  return {\n    isLoading,\n    reset() {\n      nextTick(() => checkAndLoad());\n    }\n  };\n}\n\nconst defaultEvents = [\"mousedown\", \"mouseup\", \"keydown\", \"keyup\"];\nfunction useKeyModifier(modifier, options = {}) {\n  const {\n    events = defaultEvents,\n    document = defaultDocument,\n    initial = null\n  } = options;\n  const state = ref(initial);\n  if (document) {\n    events.forEach((listenerEvent) => {\n      useEventListener(document, listenerEvent, (evt) => {\n        if (typeof evt.getModifierState === \"function\")\n          state.value = evt.getModifierState(modifier);\n      });\n    });\n  }\n  return state;\n}\n\nfunction useLocalStorage(key, initialValue, options = {}) {\n  const { window = defaultWindow } = options;\n  return useStorage(key, initialValue, window == null ? void 0 : window.localStorage, options);\n}\n\nconst DefaultMagicKeysAliasMap = {\n  ctrl: \"control\",\n  command: \"meta\",\n  cmd: \"meta\",\n  option: \"alt\",\n  up: \"arrowup\",\n  down: \"arrowdown\",\n  left: \"arrowleft\",\n  right: \"arrowright\"\n};\n\nfunction useMagicKeys(options = {}) {\n  const {\n    reactive: useReactive = false,\n    target = defaultWindow,\n    aliasMap = DefaultMagicKeysAliasMap,\n    passive = true,\n    onEventFired = noop\n  } = options;\n  const current = reactive(/* @__PURE__ */ new Set());\n  const obj = {\n    toJSON() {\n      return {};\n    },\n    current\n  };\n  const refs = useReactive ? reactive(obj) : obj;\n  const metaDeps = /* @__PURE__ */ new Set();\n  const usedKeys = /* @__PURE__ */ new Set();\n  function setRefs(key, value) {\n    if (key in refs) {\n      if (useReactive)\n        refs[key] = value;\n      else\n        refs[key].value = value;\n    }\n  }\n  function reset() {\n    current.clear();\n    for (const key of usedKeys)\n      setRefs(key, false);\n  }\n  function updateRefs(e, value) {\n    var _a, _b;\n    const key = (_a = e.key) == null ? void 0 : _a.toLowerCase();\n    const code = (_b = e.code) == null ? void 0 : _b.toLowerCase();\n    const values = [code, key].filter(Boolean);\n    if (key) {\n      if (value)\n        current.add(key);\n      else\n        current.delete(key);\n    }\n    for (const key2 of values) {\n      usedKeys.add(key2);\n      setRefs(key2, value);\n    }\n    if (key === \"meta\" && !value) {\n      metaDeps.forEach((key2) => {\n        current.delete(key2);\n        setRefs(key2, false);\n      });\n      metaDeps.clear();\n    } else if (typeof e.getModifierState === \"function\" && e.getModifierState(\"Meta\") && value) {\n      [...current, ...values].forEach((key2) => metaDeps.add(key2));\n    }\n  }\n  useEventListener(target, \"keydown\", (e) => {\n    updateRefs(e, true);\n    return onEventFired(e);\n  }, { passive });\n  useEventListener(target, \"keyup\", (e) => {\n    updateRefs(e, false);\n    return onEventFired(e);\n  }, { passive });\n  useEventListener(\"blur\", reset, { passive: true });\n  useEventListener(\"focus\", reset, { passive: true });\n  const proxy = new Proxy(\n    refs,\n    {\n      get(target2, prop, rec) {\n        if (typeof prop !== \"string\")\n          return Reflect.get(target2, prop, rec);\n        prop = prop.toLowerCase();\n        if (prop in aliasMap)\n          prop = aliasMap[prop];\n        if (!(prop in refs)) {\n          if (/[+_-]/.test(prop)) {\n            const keys = prop.split(/[+_-]/g).map((i) => i.trim());\n            refs[prop] = computed(() => keys.every((key) => toValue(proxy[key])));\n          } else {\n            refs[prop] = ref(false);\n          }\n        }\n        const r = Reflect.get(target2, prop, rec);\n        return useReactive ? toValue(r) : r;\n      }\n    }\n  );\n  return proxy;\n}\n\nfunction usingElRef(source, cb) {\n  if (toValue(source))\n    cb(toValue(source));\n}\nfunction timeRangeToArray(timeRanges) {\n  let ranges = [];\n  for (let i = 0; i < timeRanges.length; ++i)\n    ranges = [...ranges, [timeRanges.start(i), timeRanges.end(i)]];\n  return ranges;\n}\nfunction tracksToArray(tracks) {\n  return Array.from(tracks).map(({ label, kind, language, mode, activeCues, cues, inBandMetadataTrackDispatchType }, id) => ({ id, label, kind, language, mode, activeCues, cues, inBandMetadataTrackDispatchType }));\n}\nconst defaultOptions = {\n  src: \"\",\n  tracks: []\n};\nfunction useMediaControls(target, options = {}) {\n  target = toRef(target);\n  options = {\n    ...defaultOptions,\n    ...options\n  };\n  const {\n    document = defaultDocument\n  } = options;\n  const currentTime = ref(0);\n  const duration = ref(0);\n  const seeking = ref(false);\n  const volume = ref(1);\n  const waiting = ref(false);\n  const ended = ref(false);\n  const playing = ref(false);\n  const rate = ref(1);\n  const stalled = ref(false);\n  const buffered = ref([]);\n  const tracks = ref([]);\n  const selectedTrack = ref(-1);\n  const isPictureInPicture = ref(false);\n  const muted = ref(false);\n  const supportsPictureInPicture = document && \"pictureInPictureEnabled\" in document;\n  const sourceErrorEvent = createEventHook();\n  const disableTrack = (track) => {\n    usingElRef(target, (el) => {\n      if (track) {\n        const id = typeof track === \"number\" ? track : track.id;\n        el.textTracks[id].mode = \"disabled\";\n      } else {\n        for (let i = 0; i < el.textTracks.length; ++i)\n          el.textTracks[i].mode = \"disabled\";\n      }\n      selectedTrack.value = -1;\n    });\n  };\n  const enableTrack = (track, disableTracks = true) => {\n    usingElRef(target, (el) => {\n      const id = typeof track === \"number\" ? track : track.id;\n      if (disableTracks)\n        disableTrack();\n      el.textTracks[id].mode = \"showing\";\n      selectedTrack.value = id;\n    });\n  };\n  const togglePictureInPicture = () => {\n    return new Promise((resolve, reject) => {\n      usingElRef(target, async (el) => {\n        if (supportsPictureInPicture) {\n          if (!isPictureInPicture.value) {\n            el.requestPictureInPicture().then(resolve).catch(reject);\n          } else {\n            document.exitPictureInPicture().then(resolve).catch(reject);\n          }\n        }\n      });\n    });\n  };\n  watchEffect(() => {\n    if (!document)\n      return;\n    const el = toValue(target);\n    if (!el)\n      return;\n    const src = toValue(options.src);\n    let sources = [];\n    if (!src)\n      return;\n    if (typeof src === \"string\")\n      sources = [{ src }];\n    else if (Array.isArray(src))\n      sources = src;\n    else if (isObject(src))\n      sources = [src];\n    el.querySelectorAll(\"source\").forEach((e) => {\n      e.removeEventListener(\"error\", sourceErrorEvent.trigger);\n      e.remove();\n    });\n    sources.forEach(({ src: src2, type }) => {\n      const source = document.createElement(\"source\");\n      source.setAttribute(\"src\", src2);\n      source.setAttribute(\"type\", type || \"\");\n      source.addEventListener(\"error\", sourceErrorEvent.trigger);\n      el.appendChild(source);\n    });\n    el.load();\n  });\n  tryOnScopeDispose(() => {\n    const el = toValue(target);\n    if (!el)\n      return;\n    el.querySelectorAll(\"source\").forEach((e) => e.removeEventListener(\"error\", sourceErrorEvent.trigger));\n  });\n  watch([target, volume], () => {\n    const el = toValue(target);\n    if (!el)\n      return;\n    el.volume = volume.value;\n  });\n  watch([target, muted], () => {\n    const el = toValue(target);\n    if (!el)\n      return;\n    el.muted = muted.value;\n  });\n  watch([target, rate], () => {\n    const el = toValue(target);\n    if (!el)\n      return;\n    el.playbackRate = rate.value;\n  });\n  watchEffect(() => {\n    if (!document)\n      return;\n    const textTracks = toValue(options.tracks);\n    const el = toValue(target);\n    if (!textTracks || !textTracks.length || !el)\n      return;\n    el.querySelectorAll(\"track\").forEach((e) => e.remove());\n    textTracks.forEach(({ default: isDefault, kind, label, src, srcLang }, i) => {\n      const track = document.createElement(\"track\");\n      track.default = isDefault || false;\n      track.kind = kind;\n      track.label = label;\n      track.src = src;\n      track.srclang = srcLang;\n      if (track.default)\n        selectedTrack.value = i;\n      el.appendChild(track);\n    });\n  });\n  const { ignoreUpdates: ignoreCurrentTimeUpdates } = watchIgnorable(currentTime, (time) => {\n    const el = toValue(target);\n    if (!el)\n      return;\n    el.currentTime = time;\n  });\n  const { ignoreUpdates: ignorePlayingUpdates } = watchIgnorable(playing, (isPlaying) => {\n    const el = toValue(target);\n    if (!el)\n      return;\n    if (isPlaying)\n      el.play();\n    else\n      el.pause();\n  });\n  useEventListener(target, \"timeupdate\", () => ignoreCurrentTimeUpdates(() => currentTime.value = toValue(target).currentTime));\n  useEventListener(target, \"durationchange\", () => duration.value = toValue(target).duration);\n  useEventListener(target, \"progress\", () => buffered.value = timeRangeToArray(toValue(target).buffered));\n  useEventListener(target, \"seeking\", () => seeking.value = true);\n  useEventListener(target, \"seeked\", () => seeking.value = false);\n  useEventListener(target, [\"waiting\", \"loadstart\"], () => {\n    waiting.value = true;\n    ignorePlayingUpdates(() => playing.value = false);\n  });\n  useEventListener(target, \"loadeddata\", () => waiting.value = false);\n  useEventListener(target, \"playing\", () => {\n    waiting.value = false;\n    ended.value = false;\n    ignorePlayingUpdates(() => playing.value = true);\n  });\n  useEventListener(target, \"ratechange\", () => rate.value = toValue(target).playbackRate);\n  useEventListener(target, \"stalled\", () => stalled.value = true);\n  useEventListener(target, \"ended\", () => ended.value = true);\n  useEventListener(target, \"pause\", () => ignorePlayingUpdates(() => playing.value = false));\n  useEventListener(target, \"play\", () => ignorePlayingUpdates(() => playing.value = true));\n  useEventListener(target, \"enterpictureinpicture\", () => isPictureInPicture.value = true);\n  useEventListener(target, \"leavepictureinpicture\", () => isPictureInPicture.value = false);\n  useEventListener(target, \"volumechange\", () => {\n    const el = toValue(target);\n    if (!el)\n      return;\n    volume.value = el.volume;\n    muted.value = el.muted;\n  });\n  const listeners = [];\n  const stop = watch([target], () => {\n    const el = toValue(target);\n    if (!el)\n      return;\n    stop();\n    listeners[0] = useEventListener(el.textTracks, \"addtrack\", () => tracks.value = tracksToArray(el.textTracks));\n    listeners[1] = useEventListener(el.textTracks, \"removetrack\", () => tracks.value = tracksToArray(el.textTracks));\n    listeners[2] = useEventListener(el.textTracks, \"change\", () => tracks.value = tracksToArray(el.textTracks));\n  });\n  tryOnScopeDispose(() => listeners.forEach((listener) => listener()));\n  return {\n    currentTime,\n    duration,\n    waiting,\n    seeking,\n    ended,\n    stalled,\n    buffered,\n    playing,\n    rate,\n    // Volume\n    volume,\n    muted,\n    // Tracks\n    tracks,\n    selectedTrack,\n    enableTrack,\n    disableTrack,\n    // Picture in Picture\n    supportsPictureInPicture,\n    togglePictureInPicture,\n    isPictureInPicture,\n    // Events\n    onSourceError: sourceErrorEvent.on\n  };\n}\n\nfunction getMapVue2Compat() {\n  const data = shallowReactive({});\n  return {\n    get: (key) => data[key],\n    set: (key, value) => set(data, key, value),\n    has: (key) => hasOwn(data, key),\n    delete: (key) => del(data, key),\n    clear: () => {\n      Object.keys(data).forEach((key) => {\n        del(data, key);\n      });\n    }\n  };\n}\nfunction useMemoize(resolver, options) {\n  const initCache = () => {\n    if (options == null ? void 0 : options.cache)\n      return shallowReactive(options.cache);\n    if (isVue2)\n      return getMapVue2Compat();\n    return shallowReactive(/* @__PURE__ */ new Map());\n  };\n  const cache = initCache();\n  const generateKey = (...args) => (options == null ? void 0 : options.getKey) ? options.getKey(...args) : JSON.stringify(args);\n  const _loadData = (key, ...args) => {\n    cache.set(key, resolver(...args));\n    return cache.get(key);\n  };\n  const loadData = (...args) => _loadData(generateKey(...args), ...args);\n  const deleteData = (...args) => {\n    cache.delete(generateKey(...args));\n  };\n  const clearData = () => {\n    cache.clear();\n  };\n  const memoized = (...args) => {\n    const key = generateKey(...args);\n    if (cache.has(key))\n      return cache.get(key);\n    return _loadData(key, ...args);\n  };\n  memoized.load = loadData;\n  memoized.delete = deleteData;\n  memoized.clear = clearData;\n  memoized.generateKey = generateKey;\n  memoized.cache = cache;\n  return memoized;\n}\n\nfunction useMemory(options = {}) {\n  const memory = ref();\n  const isSupported = useSupported(() => typeof performance !== \"undefined\" && \"memory\" in performance);\n  if (isSupported.value) {\n    const { interval = 1e3 } = options;\n    useIntervalFn(() => {\n      memory.value = performance.memory;\n    }, interval, { immediate: options.immediate, immediateCallback: options.immediateCallback });\n  }\n  return { isSupported, memory };\n}\n\nconst UseMouseBuiltinExtractors = {\n  page: (event) => [event.pageX, event.pageY],\n  client: (event) => [event.clientX, event.clientY],\n  screen: (event) => [event.screenX, event.screenY],\n  movement: (event) => event instanceof Touch ? null : [event.movementX, event.movementY]\n};\nfunction useMouse(options = {}) {\n  const {\n    type = \"page\",\n    touch = true,\n    resetOnTouchEnds = false,\n    initialValue = { x: 0, y: 0 },\n    window = defaultWindow,\n    target = window,\n    scroll = true,\n    eventFilter\n  } = options;\n  let _prevMouseEvent = null;\n  const x = ref(initialValue.x);\n  const y = ref(initialValue.y);\n  const sourceType = ref(null);\n  const extractor = typeof type === \"function\" ? type : UseMouseBuiltinExtractors[type];\n  const mouseHandler = (event) => {\n    const result = extractor(event);\n    _prevMouseEvent = event;\n    if (result) {\n      [x.value, y.value] = result;\n      sourceType.value = \"mouse\";\n    }\n  };\n  const touchHandler = (event) => {\n    if (event.touches.length > 0) {\n      const result = extractor(event.touches[0]);\n      if (result) {\n        [x.value, y.value] = result;\n        sourceType.value = \"touch\";\n      }\n    }\n  };\n  const scrollHandler = () => {\n    if (!_prevMouseEvent || !window)\n      return;\n    const pos = extractor(_prevMouseEvent);\n    if (_prevMouseEvent instanceof MouseEvent && pos) {\n      x.value = pos[0] + window.scrollX;\n      y.value = pos[1] + window.scrollY;\n    }\n  };\n  const reset = () => {\n    x.value = initialValue.x;\n    y.value = initialValue.y;\n  };\n  const mouseHandlerWrapper = eventFilter ? (event) => eventFilter(() => mouseHandler(event), {}) : (event) => mouseHandler(event);\n  const touchHandlerWrapper = eventFilter ? (event) => eventFilter(() => touchHandler(event), {}) : (event) => touchHandler(event);\n  const scrollHandlerWrapper = eventFilter ? () => eventFilter(() => scrollHandler(), {}) : () => scrollHandler();\n  if (target) {\n    const listenerOptions = { passive: true };\n    useEventListener(target, [\"mousemove\", \"dragover\"], mouseHandlerWrapper, listenerOptions);\n    if (touch && type !== \"movement\") {\n      useEventListener(target, [\"touchstart\", \"touchmove\"], touchHandlerWrapper, listenerOptions);\n      if (resetOnTouchEnds)\n        useEventListener(target, \"touchend\", reset, listenerOptions);\n    }\n    if (scroll && type === \"page\")\n      useEventListener(window, \"scroll\", scrollHandlerWrapper, { passive: true });\n  }\n  return {\n    x,\n    y,\n    sourceType\n  };\n}\n\nfunction useMouseInElement(target, options = {}) {\n  const {\n    handleOutside = true,\n    window = defaultWindow\n  } = options;\n  const type = options.type || \"page\";\n  const { x, y, sourceType } = useMouse(options);\n  const targetRef = ref(target != null ? target : window == null ? void 0 : window.document.body);\n  const elementX = ref(0);\n  const elementY = ref(0);\n  const elementPositionX = ref(0);\n  const elementPositionY = ref(0);\n  const elementHeight = ref(0);\n  const elementWidth = ref(0);\n  const isOutside = ref(true);\n  let stop = () => {\n  };\n  if (window) {\n    stop = watch(\n      [targetRef, x, y],\n      () => {\n        const el = unrefElement(targetRef);\n        if (!el || !(el instanceof HTMLElement))\n          return;\n        const {\n          left,\n          top,\n          width,\n          height\n        } = el.getBoundingClientRect();\n        elementPositionX.value = left + (type === \"page\" ? window.pageXOffset : 0);\n        elementPositionY.value = top + (type === \"page\" ? window.pageYOffset : 0);\n        elementHeight.value = height;\n        elementWidth.value = width;\n        const elX = x.value - elementPositionX.value;\n        const elY = y.value - elementPositionY.value;\n        isOutside.value = width === 0 || height === 0 || elX < 0 || elY < 0 || elX > width || elY > height;\n        if (handleOutside || !isOutside.value) {\n          elementX.value = elX;\n          elementY.value = elY;\n        }\n      },\n      { immediate: true }\n    );\n    useEventListener(document, \"mouseleave\", () => {\n      isOutside.value = true;\n    });\n  }\n  return {\n    x,\n    y,\n    sourceType,\n    elementX,\n    elementY,\n    elementPositionX,\n    elementPositionY,\n    elementHeight,\n    elementWidth,\n    isOutside,\n    stop\n  };\n}\n\nfunction useMousePressed(options = {}) {\n  const {\n    touch = true,\n    drag = true,\n    capture = false,\n    initialValue = false,\n    window = defaultWindow\n  } = options;\n  const pressed = ref(initialValue);\n  const sourceType = ref(null);\n  if (!window) {\n    return {\n      pressed,\n      sourceType\n    };\n  }\n  const onPressed = (srcType) => () => {\n    pressed.value = true;\n    sourceType.value = srcType;\n  };\n  const onReleased = () => {\n    pressed.value = false;\n    sourceType.value = null;\n  };\n  const target = computed(() => unrefElement(options.target) || window);\n  useEventListener(target, \"mousedown\", onPressed(\"mouse\"), { passive: true, capture });\n  useEventListener(window, \"mouseleave\", onReleased, { passive: true, capture });\n  useEventListener(window, \"mouseup\", onReleased, { passive: true, capture });\n  if (drag) {\n    useEventListener(target, \"dragstart\", onPressed(\"mouse\"), { passive: true, capture });\n    useEventListener(window, \"drop\", onReleased, { passive: true, capture });\n    useEventListener(window, \"dragend\", onReleased, { passive: true, capture });\n  }\n  if (touch) {\n    useEventListener(target, \"touchstart\", onPressed(\"touch\"), { passive: true, capture });\n    useEventListener(window, \"touchend\", onReleased, { passive: true, capture });\n    useEventListener(window, \"touchcancel\", onReleased, { passive: true, capture });\n  }\n  return {\n    pressed,\n    sourceType\n  };\n}\n\nfunction useNavigatorLanguage(options = {}) {\n  const { window = defaultWindow } = options;\n  const navigator = window == null ? void 0 : window.navigator;\n  const isSupported = useSupported(() => navigator && \"language\" in navigator);\n  const language = ref(navigator == null ? void 0 : navigator.language);\n  useEventListener(window, \"languagechange\", () => {\n    if (navigator)\n      language.value = navigator.language;\n  });\n  return {\n    isSupported,\n    language\n  };\n}\n\nfunction useNetwork(options = {}) {\n  const { window = defaultWindow } = options;\n  const navigator = window == null ? void 0 : window.navigator;\n  const isSupported = useSupported(() => navigator && \"connection\" in navigator);\n  const isOnline = ref(true);\n  const saveData = ref(false);\n  const offlineAt = ref(void 0);\n  const onlineAt = ref(void 0);\n  const downlink = ref(void 0);\n  const downlinkMax = ref(void 0);\n  const rtt = ref(void 0);\n  const effectiveType = ref(void 0);\n  const type = ref(\"unknown\");\n  const connection = isSupported.value && navigator.connection;\n  function updateNetworkInformation() {\n    if (!navigator)\n      return;\n    isOnline.value = navigator.onLine;\n    offlineAt.value = isOnline.value ? void 0 : Date.now();\n    onlineAt.value = isOnline.value ? Date.now() : void 0;\n    if (connection) {\n      downlink.value = connection.downlink;\n      downlinkMax.value = connection.downlinkMax;\n      effectiveType.value = connection.effectiveType;\n      rtt.value = connection.rtt;\n      saveData.value = connection.saveData;\n      type.value = connection.type;\n    }\n  }\n  if (window) {\n    useEventListener(window, \"offline\", () => {\n      isOnline.value = false;\n      offlineAt.value = Date.now();\n    });\n    useEventListener(window, \"online\", () => {\n      isOnline.value = true;\n      onlineAt.value = Date.now();\n    });\n  }\n  if (connection)\n    useEventListener(connection, \"change\", updateNetworkInformation, false);\n  updateNetworkInformation();\n  return {\n    isSupported,\n    isOnline,\n    saveData,\n    offlineAt,\n    onlineAt,\n    downlink,\n    downlinkMax,\n    effectiveType,\n    rtt,\n    type\n  };\n}\n\nfunction useNow(options = {}) {\n  const {\n    controls: exposeControls = false,\n    interval = \"requestAnimationFrame\"\n  } = options;\n  const now = ref(/* @__PURE__ */ new Date());\n  const update = () => now.value = /* @__PURE__ */ new Date();\n  const controls = interval === \"requestAnimationFrame\" ? useRafFn(update, { immediate: true }) : useIntervalFn(update, interval, { immediate: true });\n  if (exposeControls) {\n    return {\n      now,\n      ...controls\n    };\n  } else {\n    return now;\n  }\n}\n\nfunction useObjectUrl(object) {\n  const url = ref();\n  const release = () => {\n    if (url.value)\n      URL.revokeObjectURL(url.value);\n    url.value = void 0;\n  };\n  watch(\n    () => toValue(object),\n    (newObject) => {\n      release();\n      if (newObject)\n        url.value = URL.createObjectURL(newObject);\n    },\n    { immediate: true }\n  );\n  tryOnScopeDispose(release);\n  return readonly(url);\n}\n\nfunction useClamp(value, min, max) {\n  if (typeof value === \"function\" || isReadonly(value))\n    return computed(() => clamp(toValue(value), toValue(min), toValue(max)));\n  const _value = ref(value);\n  return computed({\n    get() {\n      return _value.value = clamp(_value.value, toValue(min), toValue(max));\n    },\n    set(value2) {\n      _value.value = clamp(value2, toValue(min), toValue(max));\n    }\n  });\n}\n\nfunction useOffsetPagination(options) {\n  const {\n    total = Number.POSITIVE_INFINITY,\n    pageSize = 10,\n    page = 1,\n    onPageChange = noop,\n    onPageSizeChange = noop,\n    onPageCountChange = noop\n  } = options;\n  const currentPageSize = useClamp(pageSize, 1, Number.POSITIVE_INFINITY);\n  const pageCount = computed(() => Math.max(\n    1,\n    Math.ceil(toValue(total) / toValue(currentPageSize))\n  ));\n  const currentPage = useClamp(page, 1, pageCount);\n  const isFirstPage = computed(() => currentPage.value === 1);\n  const isLastPage = computed(() => currentPage.value === pageCount.value);\n  if (isRef(page)) {\n    syncRef(page, currentPage, {\n      direction: isReadonly(page) ? \"ltr\" : \"both\"\n    });\n  }\n  if (isRef(pageSize)) {\n    syncRef(pageSize, currentPageSize, {\n      direction: isReadonly(pageSize) ? \"ltr\" : \"both\"\n    });\n  }\n  function prev() {\n    currentPage.value--;\n  }\n  function next() {\n    currentPage.value++;\n  }\n  const returnValue = {\n    currentPage,\n    currentPageSize,\n    pageCount,\n    isFirstPage,\n    isLastPage,\n    prev,\n    next\n  };\n  watch(currentPage, () => {\n    onPageChange(reactive(returnValue));\n  });\n  watch(currentPageSize, () => {\n    onPageSizeChange(reactive(returnValue));\n  });\n  watch(pageCount, () => {\n    onPageCountChange(reactive(returnValue));\n  });\n  return returnValue;\n}\n\nfunction useOnline(options = {}) {\n  const { isOnline } = useNetwork(options);\n  return isOnline;\n}\n\nfunction usePageLeave(options = {}) {\n  const { window = defaultWindow } = options;\n  const isLeft = ref(false);\n  const handler = (event) => {\n    if (!window)\n      return;\n    event = event || window.event;\n    const from = event.relatedTarget || event.toElement;\n    isLeft.value = !from;\n  };\n  if (window) {\n    useEventListener(window, \"mouseout\", handler, { passive: true });\n    useEventListener(window.document, \"mouseleave\", handler, { passive: true });\n    useEventListener(window.document, \"mouseenter\", handler, { passive: true });\n  }\n  return isLeft;\n}\n\nfunction useScreenOrientation(options = {}) {\n  const {\n    window = defaultWindow\n  } = options;\n  const isSupported = useSupported(() => window && \"screen\" in window && \"orientation\" in window.screen);\n  const screenOrientation = isSupported.value ? window.screen.orientation : {};\n  const orientation = ref(screenOrientation.type);\n  const angle = ref(screenOrientation.angle || 0);\n  if (isSupported.value) {\n    useEventListener(window, \"orientationchange\", () => {\n      orientation.value = screenOrientation.type;\n      angle.value = screenOrientation.angle;\n    });\n  }\n  const lockOrientation = (type) => {\n    if (isSupported.value && typeof screenOrientation.lock === \"function\")\n      return screenOrientation.lock(type);\n    return Promise.reject(new Error(\"Not supported\"));\n  };\n  const unlockOrientation = () => {\n    if (isSupported.value && typeof screenOrientation.unlock === \"function\")\n      screenOrientation.unlock();\n  };\n  return {\n    isSupported,\n    orientation,\n    angle,\n    lockOrientation,\n    unlockOrientation\n  };\n}\n\nfunction useParallax(target, options = {}) {\n  const {\n    deviceOrientationTiltAdjust = (i) => i,\n    deviceOrientationRollAdjust = (i) => i,\n    mouseTiltAdjust = (i) => i,\n    mouseRollAdjust = (i) => i,\n    window = defaultWindow\n  } = options;\n  const orientation = reactive(useDeviceOrientation({ window }));\n  const screenOrientation = reactive(useScreenOrientation({ window }));\n  const {\n    elementX: x,\n    elementY: y,\n    elementWidth: width,\n    elementHeight: height\n  } = useMouseInElement(target, { handleOutside: false, window });\n  const source = computed(() => {\n    if (orientation.isSupported && (orientation.alpha != null && orientation.alpha !== 0 || orientation.gamma != null && orientation.gamma !== 0)) {\n      return \"deviceOrientation\";\n    }\n    return \"mouse\";\n  });\n  const roll = computed(() => {\n    if (source.value === \"deviceOrientation\") {\n      let value;\n      switch (screenOrientation.orientation) {\n        case \"landscape-primary\":\n          value = orientation.gamma / 90;\n          break;\n        case \"landscape-secondary\":\n          value = -orientation.gamma / 90;\n          break;\n        case \"portrait-primary\":\n          value = -orientation.beta / 90;\n          break;\n        case \"portrait-secondary\":\n          value = orientation.beta / 90;\n          break;\n        default:\n          value = -orientation.beta / 90;\n      }\n      return deviceOrientationRollAdjust(value);\n    } else {\n      const value = -(y.value - height.value / 2) / height.value;\n      return mouseRollAdjust(value);\n    }\n  });\n  const tilt = computed(() => {\n    if (source.value === \"deviceOrientation\") {\n      let value;\n      switch (screenOrientation.orientation) {\n        case \"landscape-primary\":\n          value = orientation.beta / 90;\n          break;\n        case \"landscape-secondary\":\n          value = -orientation.beta / 90;\n          break;\n        case \"portrait-primary\":\n          value = orientation.gamma / 90;\n          break;\n        case \"portrait-secondary\":\n          value = -orientation.gamma / 90;\n          break;\n        default:\n          value = orientation.gamma / 90;\n      }\n      return deviceOrientationTiltAdjust(value);\n    } else {\n      const value = (x.value - width.value / 2) / width.value;\n      return mouseTiltAdjust(value);\n    }\n  });\n  return { roll, tilt, source };\n}\n\nfunction useParentElement(element = useCurrentElement()) {\n  const parentElement = shallowRef();\n  const update = () => {\n    const el = unrefElement(element);\n    if (el)\n      parentElement.value = el.parentElement;\n  };\n  tryOnMounted(update);\n  watch(() => toValue(element), update);\n  return parentElement;\n}\n\nfunction usePerformanceObserver(options, callback) {\n  const {\n    window = defaultWindow,\n    immediate = true,\n    ...performanceOptions\n  } = options;\n  const isSupported = useSupported(() => window && \"PerformanceObserver\" in window);\n  let observer;\n  const stop = () => {\n    observer == null ? void 0 : observer.disconnect();\n  };\n  const start = () => {\n    if (isSupported.value) {\n      stop();\n      observer = new PerformanceObserver(callback);\n      observer.observe(performanceOptions);\n    }\n  };\n  tryOnScopeDispose(stop);\n  if (immediate)\n    start();\n  return {\n    isSupported,\n    start,\n    stop\n  };\n}\n\nconst defaultState = {\n  x: 0,\n  y: 0,\n  pointerId: 0,\n  pressure: 0,\n  tiltX: 0,\n  tiltY: 0,\n  width: 0,\n  height: 0,\n  twist: 0,\n  pointerType: null\n};\nconst keys = /* @__PURE__ */ Object.keys(defaultState);\nfunction usePointer(options = {}) {\n  const {\n    target = defaultWindow\n  } = options;\n  const isInside = ref(false);\n  const state = ref(options.initialValue || {});\n  Object.assign(state.value, defaultState, state.value);\n  const handler = (event) => {\n    isInside.value = true;\n    if (options.pointerTypes && !options.pointerTypes.includes(event.pointerType))\n      return;\n    state.value = objectPick(event, keys, false);\n  };\n  if (target) {\n    const listenerOptions = { passive: true };\n    useEventListener(target, [\"pointerdown\", \"pointermove\", \"pointerup\"], handler, listenerOptions);\n    useEventListener(target, \"pointerleave\", () => isInside.value = false, listenerOptions);\n  }\n  return {\n    ...toRefs(state),\n    isInside\n  };\n}\n\nfunction usePointerLock(target, options = {}) {\n  const { document = defaultDocument } = options;\n  const isSupported = useSupported(() => document && \"pointerLockElement\" in document);\n  const element = ref();\n  const triggerElement = ref();\n  let targetElement;\n  if (isSupported.value) {\n    useEventListener(document, \"pointerlockchange\", () => {\n      var _a;\n      const currentElement = (_a = document.pointerLockElement) != null ? _a : element.value;\n      if (targetElement && currentElement === targetElement) {\n        element.value = document.pointerLockElement;\n        if (!element.value)\n          targetElement = triggerElement.value = null;\n      }\n    });\n    useEventListener(document, \"pointerlockerror\", () => {\n      var _a;\n      const currentElement = (_a = document.pointerLockElement) != null ? _a : element.value;\n      if (targetElement && currentElement === targetElement) {\n        const action = document.pointerLockElement ? \"release\" : \"acquire\";\n        throw new Error(`Failed to ${action} pointer lock.`);\n      }\n    });\n  }\n  async function lock(e) {\n    var _a;\n    if (!isSupported.value)\n      throw new Error(\"Pointer Lock API is not supported by your browser.\");\n    triggerElement.value = e instanceof Event ? e.currentTarget : null;\n    targetElement = e instanceof Event ? (_a = unrefElement(target)) != null ? _a : triggerElement.value : unrefElement(e);\n    if (!targetElement)\n      throw new Error(\"Target element undefined.\");\n    targetElement.requestPointerLock();\n    return await until(element).toBe(targetElement);\n  }\n  async function unlock() {\n    if (!element.value)\n      return false;\n    document.exitPointerLock();\n    await until(element).toBeNull();\n    return true;\n  }\n  return {\n    isSupported,\n    element,\n    triggerElement,\n    lock,\n    unlock\n  };\n}\n\nfunction usePointerSwipe(target, options = {}) {\n  const targetRef = toRef(target);\n  const {\n    threshold = 50,\n    onSwipe,\n    onSwipeEnd,\n    onSwipeStart,\n    disableTextSelect = false\n  } = options;\n  const posStart = reactive({ x: 0, y: 0 });\n  const updatePosStart = (x, y) => {\n    posStart.x = x;\n    posStart.y = y;\n  };\n  const posEnd = reactive({ x: 0, y: 0 });\n  const updatePosEnd = (x, y) => {\n    posEnd.x = x;\n    posEnd.y = y;\n  };\n  const distanceX = computed(() => posStart.x - posEnd.x);\n  const distanceY = computed(() => posStart.y - posEnd.y);\n  const { max, abs } = Math;\n  const isThresholdExceeded = computed(() => max(abs(distanceX.value), abs(distanceY.value)) >= threshold);\n  const isSwiping = ref(false);\n  const isPointerDown = ref(false);\n  const direction = computed(() => {\n    if (!isThresholdExceeded.value)\n      return \"none\";\n    if (abs(distanceX.value) > abs(distanceY.value)) {\n      return distanceX.value > 0 ? \"left\" : \"right\";\n    } else {\n      return distanceY.value > 0 ? \"up\" : \"down\";\n    }\n  });\n  const eventIsAllowed = (e) => {\n    var _a, _b, _c;\n    const isReleasingButton = e.buttons === 0;\n    const isPrimaryButton = e.buttons === 1;\n    return (_c = (_b = (_a = options.pointerTypes) == null ? void 0 : _a.includes(e.pointerType)) != null ? _b : isReleasingButton || isPrimaryButton) != null ? _c : true;\n  };\n  const stops = [\n    useEventListener(target, \"pointerdown\", (e) => {\n      if (!eventIsAllowed(e))\n        return;\n      isPointerDown.value = true;\n      const eventTarget = e.target;\n      eventTarget == null ? void 0 : eventTarget.setPointerCapture(e.pointerId);\n      const { clientX: x, clientY: y } = e;\n      updatePosStart(x, y);\n      updatePosEnd(x, y);\n      onSwipeStart == null ? void 0 : onSwipeStart(e);\n    }),\n    useEventListener(target, \"pointermove\", (e) => {\n      if (!eventIsAllowed(e))\n        return;\n      if (!isPointerDown.value)\n        return;\n      const { clientX: x, clientY: y } = e;\n      updatePosEnd(x, y);\n      if (!isSwiping.value && isThresholdExceeded.value)\n        isSwiping.value = true;\n      if (isSwiping.value)\n        onSwipe == null ? void 0 : onSwipe(e);\n    }),\n    useEventListener(target, \"pointerup\", (e) => {\n      if (!eventIsAllowed(e))\n        return;\n      if (isSwiping.value)\n        onSwipeEnd == null ? void 0 : onSwipeEnd(e, direction.value);\n      isPointerDown.value = false;\n      isSwiping.value = false;\n    })\n  ];\n  tryOnMounted(() => {\n    var _a, _b, _c, _d, _e, _f, _g, _h;\n    (_b = (_a = targetRef.value) == null ? void 0 : _a.style) == null ? void 0 : _b.setProperty(\"touch-action\", \"none\");\n    if (disableTextSelect) {\n      (_d = (_c = targetRef.value) == null ? void 0 : _c.style) == null ? void 0 : _d.setProperty(\"-webkit-user-select\", \"none\");\n      (_f = (_e = targetRef.value) == null ? void 0 : _e.style) == null ? void 0 : _f.setProperty(\"-ms-user-select\", \"none\");\n      (_h = (_g = targetRef.value) == null ? void 0 : _g.style) == null ? void 0 : _h.setProperty(\"user-select\", \"none\");\n    }\n  });\n  const stop = () => stops.forEach((s) => s());\n  return {\n    isSwiping: readonly(isSwiping),\n    direction: readonly(direction),\n    posStart: readonly(posStart),\n    posEnd: readonly(posEnd),\n    distanceX,\n    distanceY,\n    stop\n  };\n}\n\nfunction usePreferredColorScheme(options) {\n  const isLight = useMediaQuery(\"(prefers-color-scheme: light)\", options);\n  const isDark = useMediaQuery(\"(prefers-color-scheme: dark)\", options);\n  return computed(() => {\n    if (isDark.value)\n      return \"dark\";\n    if (isLight.value)\n      return \"light\";\n    return \"no-preference\";\n  });\n}\n\nfunction usePreferredContrast(options) {\n  const isMore = useMediaQuery(\"(prefers-contrast: more)\", options);\n  const isLess = useMediaQuery(\"(prefers-contrast: less)\", options);\n  const isCustom = useMediaQuery(\"(prefers-contrast: custom)\", options);\n  return computed(() => {\n    if (isMore.value)\n      return \"more\";\n    if (isLess.value)\n      return \"less\";\n    if (isCustom.value)\n      return \"custom\";\n    return \"no-preference\";\n  });\n}\n\nfunction usePreferredLanguages(options = {}) {\n  const { window = defaultWindow } = options;\n  if (!window)\n    return ref([\"en\"]);\n  const navigator = window.navigator;\n  const value = ref(navigator.languages);\n  useEventListener(window, \"languagechange\", () => {\n    value.value = navigator.languages;\n  });\n  return value;\n}\n\nfunction usePreferredReducedMotion(options) {\n  const isReduced = useMediaQuery(\"(prefers-reduced-motion: reduce)\", options);\n  return computed(() => {\n    if (isReduced.value)\n      return \"reduce\";\n    return \"no-preference\";\n  });\n}\n\nfunction usePrevious(value, initialValue) {\n  const previous = shallowRef(initialValue);\n  watch(\n    toRef(value),\n    (_, oldValue) => {\n      previous.value = oldValue;\n    },\n    { flush: \"sync\" }\n  );\n  return readonly(previous);\n}\n\nconst topVarName = \"--vueuse-safe-area-top\";\nconst rightVarName = \"--vueuse-safe-area-right\";\nconst bottomVarName = \"--vueuse-safe-area-bottom\";\nconst leftVarName = \"--vueuse-safe-area-left\";\nfunction useScreenSafeArea() {\n  const top = ref(\"\");\n  const right = ref(\"\");\n  const bottom = ref(\"\");\n  const left = ref(\"\");\n  if (isClient) {\n    const topCssVar = useCssVar(topVarName);\n    const rightCssVar = useCssVar(rightVarName);\n    const bottomCssVar = useCssVar(bottomVarName);\n    const leftCssVar = useCssVar(leftVarName);\n    topCssVar.value = \"env(safe-area-inset-top, 0px)\";\n    rightCssVar.value = \"env(safe-area-inset-right, 0px)\";\n    bottomCssVar.value = \"env(safe-area-inset-bottom, 0px)\";\n    leftCssVar.value = \"env(safe-area-inset-left, 0px)\";\n    update();\n    useEventListener(\"resize\", useDebounceFn(update));\n  }\n  function update() {\n    top.value = getValue(topVarName);\n    right.value = getValue(rightVarName);\n    bottom.value = getValue(bottomVarName);\n    left.value = getValue(leftVarName);\n  }\n  return {\n    top,\n    right,\n    bottom,\n    left,\n    update\n  };\n}\nfunction getValue(position) {\n  return getComputedStyle(document.documentElement).getPropertyValue(position);\n}\n\nfunction useScriptTag(src, onLoaded = noop, options = {}) {\n  const {\n    immediate = true,\n    manual = false,\n    type = \"text/javascript\",\n    async = true,\n    crossOrigin,\n    referrerPolicy,\n    noModule,\n    defer,\n    document = defaultDocument,\n    attrs = {}\n  } = options;\n  const scriptTag = ref(null);\n  let _promise = null;\n  const loadScript = (waitForScriptLoad) => new Promise((resolve, reject) => {\n    const resolveWithElement = (el2) => {\n      scriptTag.value = el2;\n      resolve(el2);\n      return el2;\n    };\n    if (!document) {\n      resolve(false);\n      return;\n    }\n    let shouldAppend = false;\n    let el = document.querySelector(`script[src=\"${toValue(src)}\"]`);\n    if (!el) {\n      el = document.createElement(\"script\");\n      el.type = type;\n      el.async = async;\n      el.src = toValue(src);\n      if (defer)\n        el.defer = defer;\n      if (crossOrigin)\n        el.crossOrigin = crossOrigin;\n      if (noModule)\n        el.noModule = noModule;\n      if (referrerPolicy)\n        el.referrerPolicy = referrerPolicy;\n      Object.entries(attrs).forEach(([name, value]) => el == null ? void 0 : el.setAttribute(name, value));\n      shouldAppend = true;\n    } else if (el.hasAttribute(\"data-loaded\")) {\n      resolveWithElement(el);\n    }\n    el.addEventListener(\"error\", (event) => reject(event));\n    el.addEventListener(\"abort\", (event) => reject(event));\n    el.addEventListener(\"load\", () => {\n      el.setAttribute(\"data-loaded\", \"true\");\n      onLoaded(el);\n      resolveWithElement(el);\n    });\n    if (shouldAppend)\n      el = document.head.appendChild(el);\n    if (!waitForScriptLoad)\n      resolveWithElement(el);\n  });\n  const load = (waitForScriptLoad = true) => {\n    if (!_promise)\n      _promise = loadScript(waitForScriptLoad);\n    return _promise;\n  };\n  const unload = () => {\n    if (!document)\n      return;\n    _promise = null;\n    if (scriptTag.value)\n      scriptTag.value = null;\n    const el = document.querySelector(`script[src=\"${toValue(src)}\"]`);\n    if (el)\n      document.head.removeChild(el);\n  };\n  if (immediate && !manual)\n    tryOnMounted(load);\n  if (!manual)\n    tryOnUnmounted(unload);\n  return { scriptTag, load, unload };\n}\n\nfunction checkOverflowScroll(ele) {\n  const style = window.getComputedStyle(ele);\n  if (style.overflowX === \"scroll\" || style.overflowY === \"scroll\" || style.overflowX === \"auto\" && ele.clientWidth < ele.scrollWidth || style.overflowY === \"auto\" && ele.clientHeight < ele.scrollHeight) {\n    return true;\n  } else {\n    const parent = ele.parentNode;\n    if (!parent || parent.tagName === \"BODY\")\n      return false;\n    return checkOverflowScroll(parent);\n  }\n}\nfunction preventDefault(rawEvent) {\n  const e = rawEvent || window.event;\n  const _target = e.target;\n  if (checkOverflowScroll(_target))\n    return false;\n  if (e.touches.length > 1)\n    return true;\n  if (e.preventDefault)\n    e.preventDefault();\n  return false;\n}\nconst elInitialOverflow = /* @__PURE__ */ new WeakMap();\nfunction useScrollLock(element, initialState = false) {\n  const isLocked = ref(initialState);\n  let stopTouchMoveListener = null;\n  let initialOverflow = \"\";\n  watch(toRef(element), (el) => {\n    const target = resolveElement(toValue(el));\n    if (target) {\n      const ele = target;\n      if (!elInitialOverflow.get(ele))\n        elInitialOverflow.set(ele, ele.style.overflow);\n      if (ele.style.overflow !== \"hidden\")\n        initialOverflow = ele.style.overflow;\n      if (ele.style.overflow === \"hidden\")\n        return isLocked.value = true;\n      if (isLocked.value)\n        return ele.style.overflow = \"hidden\";\n    }\n  }, {\n    immediate: true\n  });\n  const lock = () => {\n    const el = resolveElement(toValue(element));\n    if (!el || isLocked.value)\n      return;\n    if (isIOS) {\n      stopTouchMoveListener = useEventListener(\n        el,\n        \"touchmove\",\n        (e) => {\n          preventDefault(e);\n        },\n        { passive: false }\n      );\n    }\n    el.style.overflow = \"hidden\";\n    isLocked.value = true;\n  };\n  const unlock = () => {\n    const el = resolveElement(toValue(element));\n    if (!el || !isLocked.value)\n      return;\n    if (isIOS)\n      stopTouchMoveListener == null ? void 0 : stopTouchMoveListener();\n    el.style.overflow = initialOverflow;\n    elInitialOverflow.delete(el);\n    isLocked.value = false;\n  };\n  tryOnScopeDispose(unlock);\n  return computed({\n    get() {\n      return isLocked.value;\n    },\n    set(v) {\n      if (v)\n        lock();\n      else unlock();\n    }\n  });\n}\n\nfunction useSessionStorage(key, initialValue, options = {}) {\n  const { window = defaultWindow } = options;\n  return useStorage(key, initialValue, window == null ? void 0 : window.sessionStorage, options);\n}\n\nfunction useShare(shareOptions = {}, options = {}) {\n  const { navigator = defaultNavigator } = options;\n  const _navigator = navigator;\n  const isSupported = useSupported(() => _navigator && \"canShare\" in _navigator);\n  const share = async (overrideOptions = {}) => {\n    if (isSupported.value) {\n      const data = {\n        ...toValue(shareOptions),\n        ...toValue(overrideOptions)\n      };\n      let granted = true;\n      if (data.files && _navigator.canShare)\n        granted = _navigator.canShare({ files: data.files });\n      if (granted)\n        return _navigator.share(data);\n    }\n  };\n  return {\n    isSupported,\n    share\n  };\n}\n\nconst defaultSortFn = (source, compareFn) => source.sort(compareFn);\nconst defaultCompare = (a, b) => a - b;\nfunction useSorted(...args) {\n  var _a, _b, _c, _d;\n  const [source] = args;\n  let compareFn = defaultCompare;\n  let options = {};\n  if (args.length === 2) {\n    if (typeof args[1] === \"object\") {\n      options = args[1];\n      compareFn = (_a = options.compareFn) != null ? _a : defaultCompare;\n    } else {\n      compareFn = (_b = args[1]) != null ? _b : defaultCompare;\n    }\n  } else if (args.length > 2) {\n    compareFn = (_c = args[1]) != null ? _c : defaultCompare;\n    options = (_d = args[2]) != null ? _d : {};\n  }\n  const {\n    dirty = false,\n    sortFn = defaultSortFn\n  } = options;\n  if (!dirty)\n    return computed(() => sortFn([...toValue(source)], compareFn));\n  watchEffect(() => {\n    const result = sortFn(toValue(source), compareFn);\n    if (isRef(source))\n      source.value = result;\n    else\n      source.splice(0, source.length, ...result);\n  });\n  return source;\n}\n\nfunction useSpeechRecognition(options = {}) {\n  const {\n    interimResults = true,\n    continuous = true,\n    maxAlternatives = 1,\n    window = defaultWindow\n  } = options;\n  const lang = toRef(options.lang || \"en-US\");\n  const isListening = ref(false);\n  const isFinal = ref(false);\n  const result = ref(\"\");\n  const error = shallowRef(void 0);\n  const toggle = (value = !isListening.value) => {\n    isListening.value = value;\n  };\n  const start = () => {\n    isListening.value = true;\n  };\n  const stop = () => {\n    isListening.value = false;\n  };\n  const SpeechRecognition = window && (window.SpeechRecognition || window.webkitSpeechRecognition);\n  const isSupported = useSupported(() => SpeechRecognition);\n  let recognition;\n  if (isSupported.value) {\n    recognition = new SpeechRecognition();\n    recognition.continuous = continuous;\n    recognition.interimResults = interimResults;\n    recognition.lang = toValue(lang);\n    recognition.maxAlternatives = maxAlternatives;\n    recognition.onstart = () => {\n      isFinal.value = false;\n    };\n    watch(lang, (lang2) => {\n      if (recognition && !isListening.value)\n        recognition.lang = lang2;\n    });\n    recognition.onresult = (event) => {\n      const currentResult = event.results[event.resultIndex];\n      const { transcript } = currentResult[0];\n      isFinal.value = currentResult.isFinal;\n      result.value = transcript;\n      error.value = void 0;\n    };\n    recognition.onerror = (event) => {\n      error.value = event;\n    };\n    recognition.onend = () => {\n      isListening.value = false;\n      recognition.lang = toValue(lang);\n    };\n    watch(isListening, () => {\n      if (isListening.value)\n        recognition.start();\n      else\n        recognition.stop();\n    });\n  }\n  tryOnScopeDispose(() => {\n    isListening.value = false;\n  });\n  return {\n    isSupported,\n    isListening,\n    isFinal,\n    recognition,\n    result,\n    error,\n    toggle,\n    start,\n    stop\n  };\n}\n\nfunction useSpeechSynthesis(text, options = {}) {\n  const {\n    pitch = 1,\n    rate = 1,\n    volume = 1,\n    window = defaultWindow\n  } = options;\n  const synth = window && window.speechSynthesis;\n  const isSupported = useSupported(() => synth);\n  const isPlaying = ref(false);\n  const status = ref(\"init\");\n  const spokenText = toRef(text || \"\");\n  const lang = toRef(options.lang || \"en-US\");\n  const error = shallowRef(void 0);\n  const toggle = (value = !isPlaying.value) => {\n    isPlaying.value = value;\n  };\n  const bindEventsForUtterance = (utterance2) => {\n    utterance2.lang = toValue(lang);\n    utterance2.voice = toValue(options.voice) || null;\n    utterance2.pitch = toValue(pitch);\n    utterance2.rate = toValue(rate);\n    utterance2.volume = volume;\n    utterance2.onstart = () => {\n      isPlaying.value = true;\n      status.value = \"play\";\n    };\n    utterance2.onpause = () => {\n      isPlaying.value = false;\n      status.value = \"pause\";\n    };\n    utterance2.onresume = () => {\n      isPlaying.value = true;\n      status.value = \"play\";\n    };\n    utterance2.onend = () => {\n      isPlaying.value = false;\n      status.value = \"end\";\n    };\n    utterance2.onerror = (event) => {\n      error.value = event;\n    };\n  };\n  const utterance = computed(() => {\n    isPlaying.value = false;\n    status.value = \"init\";\n    const newUtterance = new SpeechSynthesisUtterance(spokenText.value);\n    bindEventsForUtterance(newUtterance);\n    return newUtterance;\n  });\n  const speak = () => {\n    synth.cancel();\n    if (utterance)\n      synth.speak(utterance.value);\n  };\n  const stop = () => {\n    synth.cancel();\n    isPlaying.value = false;\n  };\n  if (isSupported.value) {\n    bindEventsForUtterance(utterance.value);\n    watch(lang, (lang2) => {\n      if (utterance.value && !isPlaying.value)\n        utterance.value.lang = lang2;\n    });\n    if (options.voice) {\n      watch(options.voice, () => {\n        synth.cancel();\n      });\n    }\n    watch(isPlaying, () => {\n      if (isPlaying.value)\n        synth.resume();\n      else\n        synth.pause();\n    });\n  }\n  tryOnScopeDispose(() => {\n    isPlaying.value = false;\n  });\n  return {\n    isSupported,\n    isPlaying,\n    status,\n    utterance,\n    error,\n    stop,\n    toggle,\n    speak\n  };\n}\n\nfunction useStepper(steps, initialStep) {\n  const stepsRef = ref(steps);\n  const stepNames = computed(() => Array.isArray(stepsRef.value) ? stepsRef.value : Object.keys(stepsRef.value));\n  const index = ref(stepNames.value.indexOf(initialStep != null ? initialStep : stepNames.value[0]));\n  const current = computed(() => at(index.value));\n  const isFirst = computed(() => index.value === 0);\n  const isLast = computed(() => index.value === stepNames.value.length - 1);\n  const next = computed(() => stepNames.value[index.value + 1]);\n  const previous = computed(() => stepNames.value[index.value - 1]);\n  function at(index2) {\n    if (Array.isArray(stepsRef.value))\n      return stepsRef.value[index2];\n    return stepsRef.value[stepNames.value[index2]];\n  }\n  function get(step) {\n    if (!stepNames.value.includes(step))\n      return;\n    return at(stepNames.value.indexOf(step));\n  }\n  function goTo(step) {\n    if (stepNames.value.includes(step))\n      index.value = stepNames.value.indexOf(step);\n  }\n  function goToNext() {\n    if (isLast.value)\n      return;\n    index.value++;\n  }\n  function goToPrevious() {\n    if (isFirst.value)\n      return;\n    index.value--;\n  }\n  function goBackTo(step) {\n    if (isAfter(step))\n      goTo(step);\n  }\n  function isNext(step) {\n    return stepNames.value.indexOf(step) === index.value + 1;\n  }\n  function isPrevious(step) {\n    return stepNames.value.indexOf(step) === index.value - 1;\n  }\n  function isCurrent(step) {\n    return stepNames.value.indexOf(step) === index.value;\n  }\n  function isBefore(step) {\n    return index.value < stepNames.value.indexOf(step);\n  }\n  function isAfter(step) {\n    return index.value > stepNames.value.indexOf(step);\n  }\n  return {\n    steps: stepsRef,\n    stepNames,\n    index,\n    current,\n    next,\n    previous,\n    isFirst,\n    isLast,\n    at,\n    get,\n    goTo,\n    goToNext,\n    goToPrevious,\n    goBackTo,\n    isNext,\n    isPrevious,\n    isCurrent,\n    isBefore,\n    isAfter\n  };\n}\n\nfunction useStorageAsync(key, initialValue, storage, options = {}) {\n  var _a;\n  const {\n    flush = \"pre\",\n    deep = true,\n    listenToStorageChanges = true,\n    writeDefaults = true,\n    mergeDefaults = false,\n    shallow,\n    window = defaultWindow,\n    eventFilter,\n    onError = (e) => {\n      console.error(e);\n    }\n  } = options;\n  const rawInit = toValue(initialValue);\n  const type = guessSerializerType(rawInit);\n  const data = (shallow ? shallowRef : ref)(initialValue);\n  const serializer = (_a = options.serializer) != null ? _a : StorageSerializers[type];\n  if (!storage) {\n    try {\n      storage = getSSRHandler(\"getDefaultStorageAsync\", () => {\n        var _a2;\n        return (_a2 = defaultWindow) == null ? void 0 : _a2.localStorage;\n      })();\n    } catch (e) {\n      onError(e);\n    }\n  }\n  async function read(event) {\n    if (!storage || event && event.key !== key)\n      return;\n    try {\n      const rawValue = event ? event.newValue : await storage.getItem(key);\n      if (rawValue == null) {\n        data.value = rawInit;\n        if (writeDefaults && rawInit !== null)\n          await storage.setItem(key, await serializer.write(rawInit));\n      } else if (mergeDefaults) {\n        const value = await serializer.read(rawValue);\n        if (typeof mergeDefaults === \"function\")\n          data.value = mergeDefaults(value, rawInit);\n        else if (type === \"object\" && !Array.isArray(value))\n          data.value = { ...rawInit, ...value };\n        else data.value = value;\n      } else {\n        data.value = await serializer.read(rawValue);\n      }\n    } catch (e) {\n      onError(e);\n    }\n  }\n  read();\n  if (window && listenToStorageChanges)\n    useEventListener(window, \"storage\", (e) => Promise.resolve().then(() => read(e)));\n  if (storage) {\n    watchWithFilter(\n      data,\n      async () => {\n        try {\n          if (data.value == null)\n            await storage.removeItem(key);\n          else\n            await storage.setItem(key, await serializer.write(data.value));\n        } catch (e) {\n          onError(e);\n        }\n      },\n      {\n        flush,\n        deep,\n        eventFilter\n      }\n    );\n  }\n  return data;\n}\n\nlet _id = 0;\nfunction useStyleTag(css, options = {}) {\n  const isLoaded = ref(false);\n  const {\n    document = defaultDocument,\n    immediate = true,\n    manual = false,\n    id = `vueuse_styletag_${++_id}`\n  } = options;\n  const cssRef = ref(css);\n  let stop = () => {\n  };\n  const load = () => {\n    if (!document)\n      return;\n    const el = document.getElementById(id) || document.createElement(\"style\");\n    if (!el.isConnected) {\n      el.id = id;\n      if (options.media)\n        el.media = options.media;\n      document.head.appendChild(el);\n    }\n    if (isLoaded.value)\n      return;\n    stop = watch(\n      cssRef,\n      (value) => {\n        el.textContent = value;\n      },\n      { immediate: true }\n    );\n    isLoaded.value = true;\n  };\n  const unload = () => {\n    if (!document || !isLoaded.value)\n      return;\n    stop();\n    document.head.removeChild(document.getElementById(id));\n    isLoaded.value = false;\n  };\n  if (immediate && !manual)\n    tryOnMounted(load);\n  if (!manual)\n    tryOnScopeDispose(unload);\n  return {\n    id,\n    css: cssRef,\n    unload,\n    load,\n    isLoaded: readonly(isLoaded)\n  };\n}\n\nfunction useSwipe(target, options = {}) {\n  const {\n    threshold = 50,\n    onSwipe,\n    onSwipeEnd,\n    onSwipeStart,\n    passive = true,\n    window = defaultWindow\n  } = options;\n  const coordsStart = reactive({ x: 0, y: 0 });\n  const coordsEnd = reactive({ x: 0, y: 0 });\n  const diffX = computed(() => coordsStart.x - coordsEnd.x);\n  const diffY = computed(() => coordsStart.y - coordsEnd.y);\n  const { max, abs } = Math;\n  const isThresholdExceeded = computed(() => max(abs(diffX.value), abs(diffY.value)) >= threshold);\n  const isSwiping = ref(false);\n  const direction = computed(() => {\n    if (!isThresholdExceeded.value)\n      return \"none\";\n    if (abs(diffX.value) > abs(diffY.value)) {\n      return diffX.value > 0 ? \"left\" : \"right\";\n    } else {\n      return diffY.value > 0 ? \"up\" : \"down\";\n    }\n  });\n  const getTouchEventCoords = (e) => [e.touches[0].clientX, e.touches[0].clientY];\n  const updateCoordsStart = (x, y) => {\n    coordsStart.x = x;\n    coordsStart.y = y;\n  };\n  const updateCoordsEnd = (x, y) => {\n    coordsEnd.x = x;\n    coordsEnd.y = y;\n  };\n  let listenerOptions;\n  const isPassiveEventSupported = checkPassiveEventSupport(window == null ? void 0 : window.document);\n  if (!passive)\n    listenerOptions = isPassiveEventSupported ? { passive: false, capture: true } : { capture: true };\n  else\n    listenerOptions = isPassiveEventSupported ? { passive: true } : { capture: false };\n  const onTouchEnd = (e) => {\n    if (isSwiping.value)\n      onSwipeEnd == null ? void 0 : onSwipeEnd(e, direction.value);\n    isSwiping.value = false;\n  };\n  const stops = [\n    useEventListener(target, \"touchstart\", (e) => {\n      if (e.touches.length !== 1)\n        return;\n      if (listenerOptions.capture && !listenerOptions.passive)\n        e.preventDefault();\n      const [x, y] = getTouchEventCoords(e);\n      updateCoordsStart(x, y);\n      updateCoordsEnd(x, y);\n      onSwipeStart == null ? void 0 : onSwipeStart(e);\n    }, listenerOptions),\n    useEventListener(target, \"touchmove\", (e) => {\n      if (e.touches.length !== 1)\n        return;\n      const [x, y] = getTouchEventCoords(e);\n      updateCoordsEnd(x, y);\n      if (!isSwiping.value && isThresholdExceeded.value)\n        isSwiping.value = true;\n      if (isSwiping.value)\n        onSwipe == null ? void 0 : onSwipe(e);\n    }, listenerOptions),\n    useEventListener(target, [\"touchend\", \"touchcancel\"], onTouchEnd, listenerOptions)\n  ];\n  const stop = () => stops.forEach((s) => s());\n  return {\n    isPassiveEventSupported,\n    isSwiping,\n    direction,\n    coordsStart,\n    coordsEnd,\n    lengthX: diffX,\n    lengthY: diffY,\n    stop\n  };\n}\nfunction checkPassiveEventSupport(document) {\n  if (!document)\n    return false;\n  let supportsPassive = false;\n  const optionsBlock = {\n    get passive() {\n      supportsPassive = true;\n      return false;\n    }\n  };\n  document.addEventListener(\"x\", noop, optionsBlock);\n  document.removeEventListener(\"x\", noop);\n  return supportsPassive;\n}\n\nfunction useTemplateRefsList() {\n  const refs = ref([]);\n  refs.value.set = (el) => {\n    if (el)\n      refs.value.push(el);\n  };\n  onBeforeUpdate(() => {\n    refs.value.length = 0;\n  });\n  return refs;\n}\n\nfunction useTextDirection(options = {}) {\n  const {\n    document = defaultDocument,\n    selector = \"html\",\n    observe = false,\n    initialValue = \"ltr\"\n  } = options;\n  function getValue() {\n    var _a, _b;\n    return (_b = (_a = document == null ? void 0 : document.querySelector(selector)) == null ? void 0 : _a.getAttribute(\"dir\")) != null ? _b : initialValue;\n  }\n  const dir = ref(getValue());\n  tryOnMounted(() => dir.value = getValue());\n  if (observe && document) {\n    useMutationObserver(\n      document.querySelector(selector),\n      () => dir.value = getValue(),\n      { attributes: true }\n    );\n  }\n  return computed({\n    get() {\n      return dir.value;\n    },\n    set(v) {\n      var _a, _b;\n      dir.value = v;\n      if (!document)\n        return;\n      if (dir.value)\n        (_a = document.querySelector(selector)) == null ? void 0 : _a.setAttribute(\"dir\", dir.value);\n      else\n        (_b = document.querySelector(selector)) == null ? void 0 : _b.removeAttribute(\"dir\");\n    }\n  });\n}\n\nfunction getRangesFromSelection(selection) {\n  var _a;\n  const rangeCount = (_a = selection.rangeCount) != null ? _a : 0;\n  return Array.from({ length: rangeCount }, (_, i) => selection.getRangeAt(i));\n}\nfunction useTextSelection(options = {}) {\n  const {\n    window = defaultWindow\n  } = options;\n  const selection = ref(null);\n  const text = computed(() => {\n    var _a, _b;\n    return (_b = (_a = selection.value) == null ? void 0 : _a.toString()) != null ? _b : \"\";\n  });\n  const ranges = computed(() => selection.value ? getRangesFromSelection(selection.value) : []);\n  const rects = computed(() => ranges.value.map((range) => range.getBoundingClientRect()));\n  function onSelectionChange() {\n    selection.value = null;\n    if (window)\n      selection.value = window.getSelection();\n  }\n  if (window)\n    useEventListener(window.document, \"selectionchange\", onSelectionChange);\n  return {\n    text,\n    rects,\n    ranges,\n    selection\n  };\n}\n\nfunction useTextareaAutosize(options) {\n  var _a;\n  const textarea = ref(options == null ? void 0 : options.element);\n  const input = ref(options == null ? void 0 : options.input);\n  const styleProp = (_a = options == null ? void 0 : options.styleProp) != null ? _a : \"height\";\n  const textareaScrollHeight = ref(1);\n  const textareaOldWidth = ref(0);\n  function triggerResize() {\n    var _a2;\n    if (!textarea.value)\n      return;\n    let height = \"\";\n    textarea.value.style[styleProp] = \"1px\";\n    textareaScrollHeight.value = (_a2 = textarea.value) == null ? void 0 : _a2.scrollHeight;\n    const _styleTarget = toValue(options == null ? void 0 : options.styleTarget);\n    if (_styleTarget)\n      _styleTarget.style[styleProp] = `${textareaScrollHeight.value}px`;\n    else\n      height = `${textareaScrollHeight.value}px`;\n    textarea.value.style[styleProp] = height;\n  }\n  watch([input, textarea], () => nextTick(triggerResize), { immediate: true });\n  watch(textareaScrollHeight, () => {\n    var _a2;\n    return (_a2 = options == null ? void 0 : options.onResize) == null ? void 0 : _a2.call(options);\n  });\n  useResizeObserver(textarea, ([{ contentRect }]) => {\n    if (textareaOldWidth.value === contentRect.width)\n      return;\n    textareaOldWidth.value = contentRect.width;\n    triggerResize();\n  });\n  if (options == null ? void 0 : options.watch)\n    watch(options.watch, triggerResize, { immediate: true, deep: true });\n  return {\n    textarea,\n    input,\n    triggerResize\n  };\n}\n\nfunction useThrottledRefHistory(source, options = {}) {\n  const { throttle = 200, trailing = true } = options;\n  const filter = throttleFilter(throttle, trailing);\n  const history = useRefHistory(source, { ...options, eventFilter: filter });\n  return {\n    ...history\n  };\n}\n\nconst DEFAULT_UNITS = [\n  { max: 6e4, value: 1e3, name: \"second\" },\n  { max: 276e4, value: 6e4, name: \"minute\" },\n  { max: 72e6, value: 36e5, name: \"hour\" },\n  { max: 5184e5, value: 864e5, name: \"day\" },\n  { max: 24192e5, value: 6048e5, name: \"week\" },\n  { max: 28512e6, value: 2592e6, name: \"month\" },\n  { max: Number.POSITIVE_INFINITY, value: 31536e6, name: \"year\" }\n];\nconst DEFAULT_MESSAGES = {\n  justNow: \"just now\",\n  past: (n) => n.match(/\\d/) ? `${n} ago` : n,\n  future: (n) => n.match(/\\d/) ? `in ${n}` : n,\n  month: (n, past) => n === 1 ? past ? \"last month\" : \"next month\" : `${n} month${n > 1 ? \"s\" : \"\"}`,\n  year: (n, past) => n === 1 ? past ? \"last year\" : \"next year\" : `${n} year${n > 1 ? \"s\" : \"\"}`,\n  day: (n, past) => n === 1 ? past ? \"yesterday\" : \"tomorrow\" : `${n} day${n > 1 ? \"s\" : \"\"}`,\n  week: (n, past) => n === 1 ? past ? \"last week\" : \"next week\" : `${n} week${n > 1 ? \"s\" : \"\"}`,\n  hour: (n) => `${n} hour${n > 1 ? \"s\" : \"\"}`,\n  minute: (n) => `${n} minute${n > 1 ? \"s\" : \"\"}`,\n  second: (n) => `${n} second${n > 1 ? \"s\" : \"\"}`,\n  invalid: \"\"\n};\nfunction DEFAULT_FORMATTER(date) {\n  return date.toISOString().slice(0, 10);\n}\nfunction useTimeAgo(time, options = {}) {\n  const {\n    controls: exposeControls = false,\n    updateInterval = 3e4\n  } = options;\n  const { now, ...controls } = useNow({ interval: updateInterval, controls: true });\n  const timeAgo = computed(() => formatTimeAgo(new Date(toValue(time)), options, toValue(now)));\n  if (exposeControls) {\n    return {\n      timeAgo,\n      ...controls\n    };\n  } else {\n    return timeAgo;\n  }\n}\nfunction formatTimeAgo(from, options = {}, now = Date.now()) {\n  var _a;\n  const {\n    max,\n    messages = DEFAULT_MESSAGES,\n    fullDateFormatter = DEFAULT_FORMATTER,\n    units = DEFAULT_UNITS,\n    showSecond = false,\n    rounding = \"round\"\n  } = options;\n  const roundFn = typeof rounding === \"number\" ? (n) => +n.toFixed(rounding) : Math[rounding];\n  const diff = +now - +from;\n  const absDiff = Math.abs(diff);\n  function getValue(diff2, unit) {\n    return roundFn(Math.abs(diff2) / unit.value);\n  }\n  function format(diff2, unit) {\n    const val = getValue(diff2, unit);\n    const past = diff2 > 0;\n    const str = applyFormat(unit.name, val, past);\n    return applyFormat(past ? \"past\" : \"future\", str, past);\n  }\n  function applyFormat(name, val, isPast) {\n    const formatter = messages[name];\n    if (typeof formatter === \"function\")\n      return formatter(val, isPast);\n    return formatter.replace(\"{0}\", val.toString());\n  }\n  if (absDiff < 6e4 && !showSecond)\n    return messages.justNow;\n  if (typeof max === \"number\" && absDiff > max)\n    return fullDateFormatter(new Date(from));\n  if (typeof max === \"string\") {\n    const unitMax = (_a = units.find((i) => i.name === max)) == null ? void 0 : _a.max;\n    if (unitMax && absDiff > unitMax)\n      return fullDateFormatter(new Date(from));\n  }\n  for (const [idx, unit] of units.entries()) {\n    const val = getValue(diff, unit);\n    if (val <= 0 && units[idx - 1])\n      return format(diff, units[idx - 1]);\n    if (absDiff < unit.max)\n      return format(diff, unit);\n  }\n  return messages.invalid;\n}\n\nfunction useTimeoutPoll(fn, interval, timeoutPollOptions) {\n  const { start } = useTimeoutFn(loop, interval, { immediate: false });\n  const isActive = ref(false);\n  async function loop() {\n    if (!isActive.value)\n      return;\n    await fn();\n    start();\n  }\n  function resume() {\n    if (!isActive.value) {\n      isActive.value = true;\n      loop();\n    }\n  }\n  function pause() {\n    isActive.value = false;\n  }\n  if (timeoutPollOptions == null ? void 0 : timeoutPollOptions.immediate)\n    resume();\n  tryOnScopeDispose(pause);\n  return {\n    isActive,\n    pause,\n    resume\n  };\n}\n\nfunction useTimestamp(options = {}) {\n  const {\n    controls: exposeControls = false,\n    offset = 0,\n    immediate = true,\n    interval = \"requestAnimationFrame\",\n    callback\n  } = options;\n  const ts = ref(timestamp() + offset);\n  const update = () => ts.value = timestamp() + offset;\n  const cb = callback ? () => {\n    update();\n    callback(ts.value);\n  } : update;\n  const controls = interval === \"requestAnimationFrame\" ? useRafFn(cb, { immediate }) : useIntervalFn(cb, interval, { immediate });\n  if (exposeControls) {\n    return {\n      timestamp: ts,\n      ...controls\n    };\n  } else {\n    return ts;\n  }\n}\n\nfunction useTitle(newTitle = null, options = {}) {\n  var _a, _b, _c;\n  const {\n    document = defaultDocument,\n    restoreOnUnmount = (t) => t\n  } = options;\n  const originalTitle = (_a = document == null ? void 0 : document.title) != null ? _a : \"\";\n  const title = toRef((_b = newTitle != null ? newTitle : document == null ? void 0 : document.title) != null ? _b : null);\n  const isReadonly = newTitle && typeof newTitle === \"function\";\n  function format(t) {\n    if (!(\"titleTemplate\" in options))\n      return t;\n    const template = options.titleTemplate || \"%s\";\n    return typeof template === \"function\" ? template(t) : toValue(template).replace(/%s/g, t);\n  }\n  watch(\n    title,\n    (t, o) => {\n      if (t !== o && document)\n        document.title = format(typeof t === \"string\" ? t : \"\");\n    },\n    { immediate: true }\n  );\n  if (options.observe && !options.titleTemplate && document && !isReadonly) {\n    useMutationObserver(\n      (_c = document.head) == null ? void 0 : _c.querySelector(\"title\"),\n      () => {\n        if (document && document.title !== title.value)\n          title.value = format(document.title);\n      },\n      { childList: true }\n    );\n  }\n  tryOnBeforeUnmount(() => {\n    if (restoreOnUnmount) {\n      const restoredTitle = restoreOnUnmount(originalTitle, title.value || \"\");\n      if (restoredTitle != null && document)\n        document.title = restoredTitle;\n    }\n  });\n  return title;\n}\n\nconst _TransitionPresets = {\n  easeInSine: [0.12, 0, 0.39, 0],\n  easeOutSine: [0.61, 1, 0.88, 1],\n  easeInOutSine: [0.37, 0, 0.63, 1],\n  easeInQuad: [0.11, 0, 0.5, 0],\n  easeOutQuad: [0.5, 1, 0.89, 1],\n  easeInOutQuad: [0.45, 0, 0.55, 1],\n  easeInCubic: [0.32, 0, 0.67, 0],\n  easeOutCubic: [0.33, 1, 0.68, 1],\n  easeInOutCubic: [0.65, 0, 0.35, 1],\n  easeInQuart: [0.5, 0, 0.75, 0],\n  easeOutQuart: [0.25, 1, 0.5, 1],\n  easeInOutQuart: [0.76, 0, 0.24, 1],\n  easeInQuint: [0.64, 0, 0.78, 0],\n  easeOutQuint: [0.22, 1, 0.36, 1],\n  easeInOutQuint: [0.83, 0, 0.17, 1],\n  easeInExpo: [0.7, 0, 0.84, 0],\n  easeOutExpo: [0.16, 1, 0.3, 1],\n  easeInOutExpo: [0.87, 0, 0.13, 1],\n  easeInCirc: [0.55, 0, 1, 0.45],\n  easeOutCirc: [0, 0.55, 0.45, 1],\n  easeInOutCirc: [0.85, 0, 0.15, 1],\n  easeInBack: [0.36, 0, 0.66, -0.56],\n  easeOutBack: [0.34, 1.56, 0.64, 1],\n  easeInOutBack: [0.68, -0.6, 0.32, 1.6]\n};\nconst TransitionPresets = /* @__PURE__ */ Object.assign({}, { linear: identity }, _TransitionPresets);\nfunction createEasingFunction([p0, p1, p2, p3]) {\n  const a = (a1, a2) => 1 - 3 * a2 + 3 * a1;\n  const b = (a1, a2) => 3 * a2 - 6 * a1;\n  const c = (a1) => 3 * a1;\n  const calcBezier = (t, a1, a2) => ((a(a1, a2) * t + b(a1, a2)) * t + c(a1)) * t;\n  const getSlope = (t, a1, a2) => 3 * a(a1, a2) * t * t + 2 * b(a1, a2) * t + c(a1);\n  const getTforX = (x) => {\n    let aGuessT = x;\n    for (let i = 0; i < 4; ++i) {\n      const currentSlope = getSlope(aGuessT, p0, p2);\n      if (currentSlope === 0)\n        return aGuessT;\n      const currentX = calcBezier(aGuessT, p0, p2) - x;\n      aGuessT -= currentX / currentSlope;\n    }\n    return aGuessT;\n  };\n  return (x) => p0 === p1 && p2 === p3 ? x : calcBezier(getTforX(x), p1, p3);\n}\nfunction lerp(a, b, alpha) {\n  return a + alpha * (b - a);\n}\nfunction toVec(t) {\n  return (typeof t === \"number\" ? [t] : t) || [];\n}\nfunction executeTransition(source, from, to, options = {}) {\n  var _a, _b;\n  const fromVal = toValue(from);\n  const toVal = toValue(to);\n  const v1 = toVec(fromVal);\n  const v2 = toVec(toVal);\n  const duration = (_a = toValue(options.duration)) != null ? _a : 1e3;\n  const startedAt = Date.now();\n  const endAt = Date.now() + duration;\n  const trans = typeof options.transition === \"function\" ? options.transition : (_b = toValue(options.transition)) != null ? _b : identity;\n  const ease = typeof trans === \"function\" ? trans : createEasingFunction(trans);\n  return new Promise((resolve) => {\n    source.value = fromVal;\n    const tick = () => {\n      var _a2;\n      if ((_a2 = options.abort) == null ? void 0 : _a2.call(options)) {\n        resolve();\n        return;\n      }\n      const now = Date.now();\n      const alpha = ease((now - startedAt) / duration);\n      const arr = toVec(source.value).map((n, i) => lerp(v1[i], v2[i], alpha));\n      if (Array.isArray(source.value))\n        source.value = arr.map((n, i) => {\n          var _a3, _b2;\n          return lerp((_a3 = v1[i]) != null ? _a3 : 0, (_b2 = v2[i]) != null ? _b2 : 0, alpha);\n        });\n      else if (typeof source.value === \"number\")\n        source.value = arr[0];\n      if (now < endAt) {\n        requestAnimationFrame(tick);\n      } else {\n        source.value = toVal;\n        resolve();\n      }\n    };\n    tick();\n  });\n}\nfunction useTransition(source, options = {}) {\n  let currentId = 0;\n  const sourceVal = () => {\n    const v = toValue(source);\n    return typeof v === \"number\" ? v : v.map(toValue);\n  };\n  const outputRef = ref(sourceVal());\n  watch(sourceVal, async (to) => {\n    var _a, _b;\n    if (toValue(options.disabled))\n      return;\n    const id = ++currentId;\n    if (options.delay)\n      await promiseTimeout(toValue(options.delay));\n    if (id !== currentId)\n      return;\n    const toVal = Array.isArray(to) ? to.map(toValue) : toValue(to);\n    (_a = options.onStarted) == null ? void 0 : _a.call(options);\n    await executeTransition(outputRef, outputRef.value, toVal, {\n      ...options,\n      abort: () => {\n        var _a2;\n        return id !== currentId || ((_a2 = options.abort) == null ? void 0 : _a2.call(options));\n      }\n    });\n    (_b = options.onFinished) == null ? void 0 : _b.call(options);\n  }, { deep: true });\n  watch(() => toValue(options.disabled), (disabled) => {\n    if (disabled) {\n      currentId++;\n      outputRef.value = sourceVal();\n    }\n  });\n  tryOnScopeDispose(() => {\n    currentId++;\n  });\n  return computed(() => toValue(options.disabled) ? sourceVal() : outputRef.value);\n}\n\nfunction useUrlSearchParams(mode = \"history\", options = {}) {\n  const {\n    initialValue = {},\n    removeNullishValues = true,\n    removeFalsyValues = false,\n    write: enableWrite = true,\n    window = defaultWindow\n  } = options;\n  if (!window)\n    return reactive(initialValue);\n  const state = reactive({});\n  function getRawParams() {\n    if (mode === \"history\") {\n      return window.location.search || \"\";\n    } else if (mode === \"hash\") {\n      const hash = window.location.hash || \"\";\n      const index = hash.indexOf(\"?\");\n      return index > 0 ? hash.slice(index) : \"\";\n    } else {\n      return (window.location.hash || \"\").replace(/^#/, \"\");\n    }\n  }\n  function constructQuery(params) {\n    const stringified = params.toString();\n    if (mode === \"history\")\n      return `${stringified ? `?${stringified}` : \"\"}${window.location.hash || \"\"}`;\n    if (mode === \"hash-params\")\n      return `${window.location.search || \"\"}${stringified ? `#${stringified}` : \"\"}`;\n    const hash = window.location.hash || \"#\";\n    const index = hash.indexOf(\"?\");\n    if (index > 0)\n      return `${hash.slice(0, index)}${stringified ? `?${stringified}` : \"\"}`;\n    return `${hash}${stringified ? `?${stringified}` : \"\"}`;\n  }\n  function read() {\n    return new URLSearchParams(getRawParams());\n  }\n  function updateState(params) {\n    const unusedKeys = new Set(Object.keys(state));\n    for (const key of params.keys()) {\n      const paramsForKey = params.getAll(key);\n      state[key] = paramsForKey.length > 1 ? paramsForKey : params.get(key) || \"\";\n      unusedKeys.delete(key);\n    }\n    Array.from(unusedKeys).forEach((key) => delete state[key]);\n  }\n  const { pause, resume } = pausableWatch(\n    state,\n    () => {\n      const params = new URLSearchParams(\"\");\n      Object.keys(state).forEach((key) => {\n        const mapEntry = state[key];\n        if (Array.isArray(mapEntry))\n          mapEntry.forEach((value) => params.append(key, value));\n        else if (removeNullishValues && mapEntry == null)\n          params.delete(key);\n        else if (removeFalsyValues && !mapEntry)\n          params.delete(key);\n        else\n          params.set(key, mapEntry);\n      });\n      write(params);\n    },\n    { deep: true }\n  );\n  function write(params, shouldUpdate) {\n    pause();\n    if (shouldUpdate)\n      updateState(params);\n    window.history.replaceState(\n      window.history.state,\n      window.document.title,\n      window.location.pathname + constructQuery(params)\n    );\n    resume();\n  }\n  function onChanged() {\n    if (!enableWrite)\n      return;\n    write(read(), true);\n  }\n  useEventListener(window, \"popstate\", onChanged, false);\n  if (mode !== \"history\")\n    useEventListener(window, \"hashchange\", onChanged, false);\n  const initial = read();\n  if (initial.keys().next().value)\n    updateState(initial);\n  else\n    Object.assign(state, initialValue);\n  return state;\n}\n\nfunction useUserMedia(options = {}) {\n  var _a, _b;\n  const enabled = ref((_a = options.enabled) != null ? _a : false);\n  const autoSwitch = ref((_b = options.autoSwitch) != null ? _b : true);\n  const constraints = ref(options.constraints);\n  const { navigator = defaultNavigator } = options;\n  const isSupported = useSupported(() => {\n    var _a2;\n    return (_a2 = navigator == null ? void 0 : navigator.mediaDevices) == null ? void 0 : _a2.getUserMedia;\n  });\n  const stream = shallowRef();\n  function getDeviceOptions(type) {\n    switch (type) {\n      case \"video\": {\n        if (constraints.value)\n          return constraints.value.video || false;\n        break;\n      }\n      case \"audio\": {\n        if (constraints.value)\n          return constraints.value.audio || false;\n        break;\n      }\n    }\n  }\n  async function _start() {\n    if (!isSupported.value || stream.value)\n      return;\n    stream.value = await navigator.mediaDevices.getUserMedia({\n      video: getDeviceOptions(\"video\"),\n      audio: getDeviceOptions(\"audio\")\n    });\n    return stream.value;\n  }\n  function _stop() {\n    var _a2;\n    (_a2 = stream.value) == null ? void 0 : _a2.getTracks().forEach((t) => t.stop());\n    stream.value = void 0;\n  }\n  function stop() {\n    _stop();\n    enabled.value = false;\n  }\n  async function start() {\n    await _start();\n    if (stream.value)\n      enabled.value = true;\n    return stream.value;\n  }\n  async function restart() {\n    _stop();\n    return await start();\n  }\n  watch(\n    enabled,\n    (v) => {\n      if (v)\n        _start();\n      else _stop();\n    },\n    { immediate: true }\n  );\n  watch(\n    constraints,\n    () => {\n      if (autoSwitch.value && stream.value)\n        restart();\n    },\n    { immediate: true }\n  );\n  tryOnScopeDispose(() => {\n    stop();\n  });\n  return {\n    isSupported,\n    stream,\n    start,\n    stop,\n    restart,\n    constraints,\n    enabled,\n    autoSwitch\n  };\n}\n\nfunction useVModel(props, key, emit, options = {}) {\n  var _a, _b, _c, _d, _e;\n  const {\n    clone = false,\n    passive = false,\n    eventName,\n    deep = false,\n    defaultValue,\n    shouldEmit\n  } = options;\n  const vm = getCurrentInstance();\n  const _emit = emit || (vm == null ? void 0 : vm.emit) || ((_a = vm == null ? void 0 : vm.$emit) == null ? void 0 : _a.bind(vm)) || ((_c = (_b = vm == null ? void 0 : vm.proxy) == null ? void 0 : _b.$emit) == null ? void 0 : _c.bind(vm == null ? void 0 : vm.proxy));\n  let event = eventName;\n  if (!key) {\n    if (isVue2) {\n      const modelOptions = (_e = (_d = vm == null ? void 0 : vm.proxy) == null ? void 0 : _d.$options) == null ? void 0 : _e.model;\n      key = (modelOptions == null ? void 0 : modelOptions.value) || \"value\";\n      if (!eventName)\n        event = (modelOptions == null ? void 0 : modelOptions.event) || \"input\";\n    } else {\n      key = \"modelValue\";\n    }\n  }\n  event = event || `update:${key.toString()}`;\n  const cloneFn = (val) => !clone ? val : typeof clone === \"function\" ? clone(val) : cloneFnJSON(val);\n  const getValue = () => isDef(props[key]) ? cloneFn(props[key]) : defaultValue;\n  const triggerEmit = (value) => {\n    if (shouldEmit) {\n      if (shouldEmit(value))\n        _emit(event, value);\n    } else {\n      _emit(event, value);\n    }\n  };\n  if (passive) {\n    const initialValue = getValue();\n    const proxy = ref(initialValue);\n    let isUpdating = false;\n    watch(\n      () => props[key],\n      (v) => {\n        if (!isUpdating) {\n          isUpdating = true;\n          proxy.value = cloneFn(v);\n          nextTick(() => isUpdating = false);\n        }\n      }\n    );\n    watch(\n      proxy,\n      (v) => {\n        if (!isUpdating && (v !== props[key] || deep))\n          triggerEmit(v);\n      },\n      { deep }\n    );\n    return proxy;\n  } else {\n    return computed({\n      get() {\n        return getValue();\n      },\n      set(value) {\n        triggerEmit(value);\n      }\n    });\n  }\n}\n\nfunction useVModels(props, emit, options = {}) {\n  const ret = {};\n  for (const key in props) {\n    ret[key] = useVModel(\n      props,\n      key,\n      emit,\n      options\n    );\n  }\n  return ret;\n}\n\nfunction useVibrate(options) {\n  const {\n    pattern = [],\n    interval = 0,\n    navigator = defaultNavigator\n  } = options || {};\n  const isSupported = useSupported(() => typeof navigator !== \"undefined\" && \"vibrate\" in navigator);\n  const patternRef = toRef(pattern);\n  let intervalControls;\n  const vibrate = (pattern2 = patternRef.value) => {\n    if (isSupported.value)\n      navigator.vibrate(pattern2);\n  };\n  const stop = () => {\n    if (isSupported.value)\n      navigator.vibrate(0);\n    intervalControls == null ? void 0 : intervalControls.pause();\n  };\n  if (interval > 0) {\n    intervalControls = useIntervalFn(\n      vibrate,\n      interval,\n      {\n        immediate: false,\n        immediateCallback: false\n      }\n    );\n  }\n  return {\n    isSupported,\n    pattern,\n    intervalControls,\n    vibrate,\n    stop\n  };\n}\n\nfunction useVirtualList(list, options) {\n  const { containerStyle, wrapperProps, scrollTo, calculateRange, currentList, containerRef } = \"itemHeight\" in options ? useVerticalVirtualList(options, list) : useHorizontalVirtualList(options, list);\n  return {\n    list: currentList,\n    scrollTo,\n    containerProps: {\n      ref: containerRef,\n      onScroll: () => {\n        calculateRange();\n      },\n      style: containerStyle\n    },\n    wrapperProps\n  };\n}\nfunction useVirtualListResources(list) {\n  const containerRef = ref(null);\n  const size = useElementSize(containerRef);\n  const currentList = ref([]);\n  const source = shallowRef(list);\n  const state = ref({ start: 0, end: 10 });\n  return { state, source, currentList, size, containerRef };\n}\nfunction createGetViewCapacity(state, source, itemSize) {\n  return (containerSize) => {\n    if (typeof itemSize === \"number\")\n      return Math.ceil(containerSize / itemSize);\n    const { start = 0 } = state.value;\n    let sum = 0;\n    let capacity = 0;\n    for (let i = start; i < source.value.length; i++) {\n      const size = itemSize(i);\n      sum += size;\n      capacity = i;\n      if (sum > containerSize)\n        break;\n    }\n    return capacity - start;\n  };\n}\nfunction createGetOffset(source, itemSize) {\n  return (scrollDirection) => {\n    if (typeof itemSize === \"number\")\n      return Math.floor(scrollDirection / itemSize) + 1;\n    let sum = 0;\n    let offset = 0;\n    for (let i = 0; i < source.value.length; i++) {\n      const size = itemSize(i);\n      sum += size;\n      if (sum >= scrollDirection) {\n        offset = i;\n        break;\n      }\n    }\n    return offset + 1;\n  };\n}\nfunction createCalculateRange(type, overscan, getOffset, getViewCapacity, { containerRef, state, currentList, source }) {\n  return () => {\n    const element = containerRef.value;\n    if (element) {\n      const offset = getOffset(type === \"vertical\" ? element.scrollTop : element.scrollLeft);\n      const viewCapacity = getViewCapacity(type === \"vertical\" ? element.clientHeight : element.clientWidth);\n      const from = offset - overscan;\n      const to = offset + viewCapacity + overscan;\n      state.value = {\n        start: from < 0 ? 0 : from,\n        end: to > source.value.length ? source.value.length : to\n      };\n      currentList.value = source.value.slice(state.value.start, state.value.end).map((ele, index) => ({\n        data: ele,\n        index: index + state.value.start\n      }));\n    }\n  };\n}\nfunction createGetDistance(itemSize, source) {\n  return (index) => {\n    if (typeof itemSize === \"number\") {\n      const size2 = index * itemSize;\n      return size2;\n    }\n    const size = source.value.slice(0, index).reduce((sum, _, i) => sum + itemSize(i), 0);\n    return size;\n  };\n}\nfunction useWatchForSizes(size, list, containerRef, calculateRange) {\n  watch([size.width, size.height, list, containerRef], () => {\n    calculateRange();\n  });\n}\nfunction createComputedTotalSize(itemSize, source) {\n  return computed(() => {\n    if (typeof itemSize === \"number\")\n      return source.value.length * itemSize;\n    return source.value.reduce((sum, _, index) => sum + itemSize(index), 0);\n  });\n}\nconst scrollToDictionaryForElementScrollKey = {\n  horizontal: \"scrollLeft\",\n  vertical: \"scrollTop\"\n};\nfunction createScrollTo(type, calculateRange, getDistance, containerRef) {\n  return (index) => {\n    if (containerRef.value) {\n      containerRef.value[scrollToDictionaryForElementScrollKey[type]] = getDistance(index);\n      calculateRange();\n    }\n  };\n}\nfunction useHorizontalVirtualList(options, list) {\n  const resources = useVirtualListResources(list);\n  const { state, source, currentList, size, containerRef } = resources;\n  const containerStyle = { overflowX: \"auto\" };\n  const { itemWidth, overscan = 5 } = options;\n  const getViewCapacity = createGetViewCapacity(state, source, itemWidth);\n  const getOffset = createGetOffset(source, itemWidth);\n  const calculateRange = createCalculateRange(\"horizontal\", overscan, getOffset, getViewCapacity, resources);\n  const getDistanceLeft = createGetDistance(itemWidth, source);\n  const offsetLeft = computed(() => getDistanceLeft(state.value.start));\n  const totalWidth = createComputedTotalSize(itemWidth, source);\n  useWatchForSizes(size, list, containerRef, calculateRange);\n  const scrollTo = createScrollTo(\"horizontal\", calculateRange, getDistanceLeft, containerRef);\n  const wrapperProps = computed(() => {\n    return {\n      style: {\n        height: \"100%\",\n        width: `${totalWidth.value - offsetLeft.value}px`,\n        marginLeft: `${offsetLeft.value}px`,\n        display: \"flex\"\n      }\n    };\n  });\n  return {\n    scrollTo,\n    calculateRange,\n    wrapperProps,\n    containerStyle,\n    currentList,\n    containerRef\n  };\n}\nfunction useVerticalVirtualList(options, list) {\n  const resources = useVirtualListResources(list);\n  const { state, source, currentList, size, containerRef } = resources;\n  const containerStyle = { overflowY: \"auto\" };\n  const { itemHeight, overscan = 5 } = options;\n  const getViewCapacity = createGetViewCapacity(state, source, itemHeight);\n  const getOffset = createGetOffset(source, itemHeight);\n  const calculateRange = createCalculateRange(\"vertical\", overscan, getOffset, getViewCapacity, resources);\n  const getDistanceTop = createGetDistance(itemHeight, source);\n  const offsetTop = computed(() => getDistanceTop(state.value.start));\n  const totalHeight = createComputedTotalSize(itemHeight, source);\n  useWatchForSizes(size, list, containerRef, calculateRange);\n  const scrollTo = createScrollTo(\"vertical\", calculateRange, getDistanceTop, containerRef);\n  const wrapperProps = computed(() => {\n    return {\n      style: {\n        width: \"100%\",\n        height: `${totalHeight.value - offsetTop.value}px`,\n        marginTop: `${offsetTop.value}px`\n      }\n    };\n  });\n  return {\n    calculateRange,\n    scrollTo,\n    containerStyle,\n    wrapperProps,\n    currentList,\n    containerRef\n  };\n}\n\nfunction useWakeLock(options = {}) {\n  const {\n    navigator = defaultNavigator,\n    document = defaultDocument\n  } = options;\n  const requestedType = ref(false);\n  const sentinel = shallowRef(null);\n  const documentVisibility = useDocumentVisibility({ document });\n  const isSupported = useSupported(() => navigator && \"wakeLock\" in navigator);\n  const isActive = computed(() => !!sentinel.value && documentVisibility.value === \"visible\");\n  if (isSupported.value) {\n    useEventListener(sentinel, \"release\", () => {\n      var _a, _b;\n      requestedType.value = (_b = (_a = sentinel.value) == null ? void 0 : _a.type) != null ? _b : false;\n    });\n    whenever(\n      () => documentVisibility.value === \"visible\" && (document == null ? void 0 : document.visibilityState) === \"visible\" && requestedType.value,\n      (type) => {\n        requestedType.value = false;\n        forceRequest(type);\n      }\n    );\n  }\n  async function forceRequest(type) {\n    var _a;\n    await ((_a = sentinel.value) == null ? void 0 : _a.release());\n    sentinel.value = isSupported.value ? await navigator.wakeLock.request(type) : null;\n  }\n  async function request(type) {\n    if (documentVisibility.value === \"visible\")\n      await forceRequest(type);\n    else\n      requestedType.value = type;\n  }\n  async function release() {\n    requestedType.value = false;\n    const s = sentinel.value;\n    sentinel.value = null;\n    await (s == null ? void 0 : s.release());\n  }\n  return {\n    sentinel,\n    isSupported,\n    isActive,\n    request,\n    forceRequest,\n    release\n  };\n}\n\nfunction useWebNotification(options = {}) {\n  const {\n    window = defaultWindow,\n    requestPermissions: _requestForPermissions = true\n  } = options;\n  const defaultWebNotificationOptions = options;\n  const isSupported = useSupported(() => {\n    if (!window || !(\"Notification\" in window))\n      return false;\n    try {\n      new Notification(\"\");\n    } catch (e) {\n      return false;\n    }\n    return true;\n  });\n  const permissionGranted = ref(isSupported.value && \"permission\" in Notification && Notification.permission === \"granted\");\n  const notification = ref(null);\n  const ensurePermissions = async () => {\n    if (!isSupported.value)\n      return;\n    if (!permissionGranted.value && Notification.permission !== \"denied\") {\n      const result = await Notification.requestPermission();\n      if (result === \"granted\")\n        permissionGranted.value = true;\n    }\n    return permissionGranted.value;\n  };\n  const { on: onClick, trigger: clickTrigger } = createEventHook();\n  const { on: onShow, trigger: showTrigger } = createEventHook();\n  const { on: onError, trigger: errorTrigger } = createEventHook();\n  const { on: onClose, trigger: closeTrigger } = createEventHook();\n  const show = async (overrides) => {\n    if (!isSupported.value || !permissionGranted.value)\n      return;\n    const options2 = Object.assign({}, defaultWebNotificationOptions, overrides);\n    notification.value = new Notification(options2.title || \"\", options2);\n    notification.value.onclick = clickTrigger;\n    notification.value.onshow = showTrigger;\n    notification.value.onerror = errorTrigger;\n    notification.value.onclose = closeTrigger;\n    return notification.value;\n  };\n  const close = () => {\n    if (notification.value)\n      notification.value.close();\n    notification.value = null;\n  };\n  if (_requestForPermissions)\n    tryOnMounted(ensurePermissions);\n  tryOnScopeDispose(close);\n  if (isSupported.value && window) {\n    const document = window.document;\n    useEventListener(document, \"visibilitychange\", (e) => {\n      e.preventDefault();\n      if (document.visibilityState === \"visible\") {\n        close();\n      }\n    });\n  }\n  return {\n    isSupported,\n    notification,\n    ensurePermissions,\n    permissionGranted,\n    show,\n    close,\n    onClick,\n    onShow,\n    onError,\n    onClose\n  };\n}\n\nconst DEFAULT_PING_MESSAGE = \"ping\";\nfunction resolveNestedOptions(options) {\n  if (options === true)\n    return {};\n  return options;\n}\nfunction useWebSocket(url, options = {}) {\n  const {\n    onConnected,\n    onDisconnected,\n    onError,\n    onMessage,\n    immediate = true,\n    autoClose = true,\n    protocols = []\n  } = options;\n  const data = ref(null);\n  const status = ref(\"CLOSED\");\n  const wsRef = ref();\n  const urlRef = toRef(url);\n  let heartbeatPause;\n  let heartbeatResume;\n  let explicitlyClosed = false;\n  let retried = 0;\n  let bufferedData = [];\n  let pongTimeoutWait;\n  const _sendBuffer = () => {\n    if (bufferedData.length && wsRef.value && status.value === \"OPEN\") {\n      for (const buffer of bufferedData)\n        wsRef.value.send(buffer);\n      bufferedData = [];\n    }\n  };\n  const resetHeartbeat = () => {\n    clearTimeout(pongTimeoutWait);\n    pongTimeoutWait = void 0;\n  };\n  const close = (code = 1e3, reason) => {\n    if (!isClient || !wsRef.value)\n      return;\n    explicitlyClosed = true;\n    resetHeartbeat();\n    heartbeatPause == null ? void 0 : heartbeatPause();\n    wsRef.value.close(code, reason);\n    wsRef.value = void 0;\n  };\n  const send = (data2, useBuffer = true) => {\n    if (!wsRef.value || status.value !== \"OPEN\") {\n      if (useBuffer)\n        bufferedData.push(data2);\n      return false;\n    }\n    _sendBuffer();\n    wsRef.value.send(data2);\n    return true;\n  };\n  const _init = () => {\n    if (explicitlyClosed || typeof urlRef.value === \"undefined\")\n      return;\n    const ws = new WebSocket(urlRef.value, protocols);\n    wsRef.value = ws;\n    status.value = \"CONNECTING\";\n    ws.onopen = () => {\n      status.value = \"OPEN\";\n      onConnected == null ? void 0 : onConnected(ws);\n      heartbeatResume == null ? void 0 : heartbeatResume();\n      _sendBuffer();\n    };\n    ws.onclose = (ev) => {\n      status.value = \"CLOSED\";\n      onDisconnected == null ? void 0 : onDisconnected(ws, ev);\n      if (!explicitlyClosed && options.autoReconnect) {\n        const {\n          retries = -1,\n          delay = 1e3,\n          onFailed\n        } = resolveNestedOptions(options.autoReconnect);\n        retried += 1;\n        if (typeof retries === \"number\" && (retries < 0 || retried < retries))\n          setTimeout(_init, delay);\n        else if (typeof retries === \"function\" && retries())\n          setTimeout(_init, delay);\n        else\n          onFailed == null ? void 0 : onFailed();\n      }\n    };\n    ws.onerror = (e) => {\n      onError == null ? void 0 : onError(ws, e);\n    };\n    ws.onmessage = (e) => {\n      if (options.heartbeat) {\n        resetHeartbeat();\n        const {\n          message = DEFAULT_PING_MESSAGE,\n          responseMessage = message\n        } = resolveNestedOptions(options.heartbeat);\n        if (e.data === responseMessage)\n          return;\n      }\n      data.value = e.data;\n      onMessage == null ? void 0 : onMessage(ws, e);\n    };\n  };\n  if (options.heartbeat) {\n    const {\n      message = DEFAULT_PING_MESSAGE,\n      interval = 1e3,\n      pongTimeout = 1e3\n    } = resolveNestedOptions(options.heartbeat);\n    const { pause, resume } = useIntervalFn(\n      () => {\n        send(message, false);\n        if (pongTimeoutWait != null)\n          return;\n        pongTimeoutWait = setTimeout(() => {\n          close();\n          explicitlyClosed = false;\n        }, pongTimeout);\n      },\n      interval,\n      { immediate: false }\n    );\n    heartbeatPause = pause;\n    heartbeatResume = resume;\n  }\n  if (autoClose) {\n    if (isClient)\n      useEventListener(\"beforeunload\", () => close());\n    tryOnScopeDispose(close);\n  }\n  const open = () => {\n    if (!isClient && !isWorker)\n      return;\n    close();\n    explicitlyClosed = false;\n    retried = 0;\n    _init();\n  };\n  if (immediate)\n    open();\n  watch(urlRef, open);\n  return {\n    data,\n    status,\n    close,\n    send,\n    open,\n    ws: wsRef\n  };\n}\n\nfunction useWebWorker(arg0, workerOptions, options) {\n  const {\n    window = defaultWindow\n  } = options != null ? options : {};\n  const data = ref(null);\n  const worker = shallowRef();\n  const post = (...args) => {\n    if (!worker.value)\n      return;\n    worker.value.postMessage(...args);\n  };\n  const terminate = function terminate2() {\n    if (!worker.value)\n      return;\n    worker.value.terminate();\n  };\n  if (window) {\n    if (typeof arg0 === \"string\")\n      worker.value = new Worker(arg0, workerOptions);\n    else if (typeof arg0 === \"function\")\n      worker.value = arg0();\n    else\n      worker.value = arg0;\n    worker.value.onmessage = (e) => {\n      data.value = e.data;\n    };\n    tryOnScopeDispose(() => {\n      if (worker.value)\n        worker.value.terminate();\n    });\n  }\n  return {\n    data,\n    post,\n    terminate,\n    worker\n  };\n}\n\nfunction jobRunner(userFunc) {\n  return (e) => {\n    const userFuncArgs = e.data[0];\n    return Promise.resolve(userFunc.apply(void 0, userFuncArgs)).then((result) => {\n      postMessage([\"SUCCESS\", result]);\n    }).catch((error) => {\n      postMessage([\"ERROR\", error]);\n    });\n  };\n}\n\nfunction depsParser(deps, localDeps) {\n  if (deps.length === 0 && localDeps.length === 0)\n    return \"\";\n  const depsString = deps.map((dep) => `'${dep}'`).toString();\n  const depsFunctionString = localDeps.filter((dep) => typeof dep === \"function\").map((fn) => {\n    const str = fn.toString();\n    if (str.trim().startsWith(\"function\")) {\n      return str;\n    } else {\n      const name = fn.name;\n      return `const ${name} = ${str}`;\n    }\n  }).join(\";\");\n  const importString = `importScripts(${depsString});`;\n  return `${depsString.trim() === \"\" ? \"\" : importString} ${depsFunctionString}`;\n}\n\nfunction createWorkerBlobUrl(fn, deps, localDeps) {\n  const blobCode = `${depsParser(deps, localDeps)}; onmessage=(${jobRunner})(${fn})`;\n  const blob = new Blob([blobCode], { type: \"text/javascript\" });\n  const url = URL.createObjectURL(blob);\n  return url;\n}\n\nfunction useWebWorkerFn(fn, options = {}) {\n  const {\n    dependencies = [],\n    localDependencies = [],\n    timeout,\n    window = defaultWindow\n  } = options;\n  const worker = ref();\n  const workerStatus = ref(\"PENDING\");\n  const promise = ref({});\n  const timeoutId = ref();\n  const workerTerminate = (status = \"PENDING\") => {\n    if (worker.value && worker.value._url && window) {\n      worker.value.terminate();\n      URL.revokeObjectURL(worker.value._url);\n      promise.value = {};\n      worker.value = void 0;\n      window.clearTimeout(timeoutId.value);\n      workerStatus.value = status;\n    }\n  };\n  workerTerminate();\n  tryOnScopeDispose(workerTerminate);\n  const generateWorker = () => {\n    const blobUrl = createWorkerBlobUrl(fn, dependencies, localDependencies);\n    const newWorker = new Worker(blobUrl);\n    newWorker._url = blobUrl;\n    newWorker.onmessage = (e) => {\n      const { resolve = () => {\n      }, reject = () => {\n      } } = promise.value;\n      const [status, result] = e.data;\n      switch (status) {\n        case \"SUCCESS\":\n          resolve(result);\n          workerTerminate(status);\n          break;\n        default:\n          reject(result);\n          workerTerminate(\"ERROR\");\n          break;\n      }\n    };\n    newWorker.onerror = (e) => {\n      const { reject = () => {\n      } } = promise.value;\n      e.preventDefault();\n      reject(e);\n      workerTerminate(\"ERROR\");\n    };\n    if (timeout) {\n      timeoutId.value = setTimeout(\n        () => workerTerminate(\"TIMEOUT_EXPIRED\"),\n        timeout\n      );\n    }\n    return newWorker;\n  };\n  const callWorker = (...fnArgs) => new Promise((resolve, reject) => {\n    var _a;\n    promise.value = {\n      resolve,\n      reject\n    };\n    (_a = worker.value) == null ? void 0 : _a.postMessage([[...fnArgs]]);\n    workerStatus.value = \"RUNNING\";\n  });\n  const workerFn = (...fnArgs) => {\n    if (workerStatus.value === \"RUNNING\") {\n      console.error(\n        \"[useWebWorkerFn] You can only run one instance of the worker at a time.\"\n      );\n      return Promise.reject();\n    }\n    worker.value = generateWorker();\n    return callWorker(...fnArgs);\n  };\n  return {\n    workerFn,\n    workerStatus,\n    workerTerminate\n  };\n}\n\nfunction useWindowFocus(options = {}) {\n  const { window = defaultWindow } = options;\n  if (!window)\n    return ref(false);\n  const focused = ref(window.document.hasFocus());\n  useEventListener(window, \"blur\", () => {\n    focused.value = false;\n  });\n  useEventListener(window, \"focus\", () => {\n    focused.value = true;\n  });\n  return focused;\n}\n\nfunction useWindowScroll(options = {}) {\n  const { window = defaultWindow, behavior = \"auto\" } = options;\n  if (!window) {\n    return {\n      x: ref(0),\n      y: ref(0)\n    };\n  }\n  const internalX = ref(window.scrollX);\n  const internalY = ref(window.scrollY);\n  const x = computed({\n    get() {\n      return internalX.value;\n    },\n    set(x2) {\n      scrollTo({ left: x2, behavior });\n    }\n  });\n  const y = computed({\n    get() {\n      return internalY.value;\n    },\n    set(y2) {\n      scrollTo({ top: y2, behavior });\n    }\n  });\n  useEventListener(\n    window,\n    \"scroll\",\n    () => {\n      internalX.value = window.scrollX;\n      internalY.value = window.scrollY;\n    },\n    {\n      capture: false,\n      passive: true\n    }\n  );\n  return { x, y };\n}\n\nfunction useWindowSize(options = {}) {\n  const {\n    window = defaultWindow,\n    initialWidth = Number.POSITIVE_INFINITY,\n    initialHeight = Number.POSITIVE_INFINITY,\n    listenOrientation = true,\n    includeScrollbar = true,\n    type = \"inner\"\n  } = options;\n  const width = ref(initialWidth);\n  const height = ref(initialHeight);\n  const update = () => {\n    if (window) {\n      if (type === \"outer\") {\n        width.value = window.outerWidth;\n        height.value = window.outerHeight;\n      } else if (includeScrollbar) {\n        width.value = window.innerWidth;\n        height.value = window.innerHeight;\n      } else {\n        width.value = window.document.documentElement.clientWidth;\n        height.value = window.document.documentElement.clientHeight;\n      }\n    }\n  };\n  update();\n  tryOnMounted(update);\n  useEventListener(\"resize\", update, { passive: true });\n  if (listenOrientation) {\n    const matches = useMediaQuery(\"(orientation: portrait)\");\n    watch(matches, () => update());\n  }\n  return { width, height };\n}\n\nexport { DefaultMagicKeysAliasMap, StorageSerializers, TransitionPresets, computedAsync as asyncComputed, breakpointsAntDesign, breakpointsBootstrapV5, breakpointsMasterCss, breakpointsPrimeFlex, breakpointsQuasar, breakpointsSematic, breakpointsTailwind, breakpointsVuetify, breakpointsVuetifyV2, breakpointsVuetifyV3, cloneFnJSON, computedAsync, computedInject, createFetch, createReusableTemplate, createTemplatePromise, createUnrefFn, customStorageEventName, defaultDocument, defaultLocation, defaultNavigator, defaultWindow, executeTransition, formatTimeAgo, getSSRHandler, mapGamepadToXbox360Controller, onClickOutside, onKeyDown, onKeyPressed, onKeyStroke, onKeyUp, onLongPress, onStartTyping, setSSRHandler, templateRef, unrefElement, useActiveElement, useAnimate, useAsyncQueue, useAsyncState, useBase64, useBattery, useBluetooth, useBreakpoints, useBroadcastChannel, useBrowserLocation, useCached, useClipboard, useClipboardItems, useCloned, useColorMode, useConfirmDialog, useCssVar, useCurrentElement, useCycleList, useDark, useDebouncedRefHistory, useDeviceMotion, useDeviceOrientation, useDevicePixelRatio, useDevicesList, useDisplayMedia, useDocumentVisibility, useDraggable, useDropZone, useElementBounding, useElementByPoint, useElementHover, useElementSize, useElementVisibility, useEventBus, useEventListener, useEventSource, useEyeDropper, useFavicon, useFetch, useFileDialog, useFileSystemAccess, useFocus, useFocusWithin, useFps, useFullscreen, useGamepad, useGeolocation, useIdle, useImage, useInfiniteScroll, useIntersectionObserver, useKeyModifier, useLocalStorage, useMagicKeys, useManualRefHistory, useMediaControls, useMediaQuery, useMemoize, useMemory, useMounted, useMouse, useMouseInElement, useMousePressed, useMutationObserver, useNavigatorLanguage, useNetwork, useNow, useObjectUrl, useOffsetPagination, useOnline, usePageLeave, useParallax, useParentElement, usePerformanceObserver, usePermission, usePointer, usePointerLock, usePointerSwipe, usePreferredColorScheme, usePreferredContrast, usePreferredDark, usePreferredLanguages, usePreferredReducedMotion, usePrevious, useRafFn, useRefHistory, useResizeObserver, useScreenOrientation, useScreenSafeArea, useScriptTag, useScroll, useScrollLock, useSessionStorage, useShare, useSorted, useSpeechRecognition, useSpeechSynthesis, useStepper, useStorage, useStorageAsync, useStyleTag, useSupported, useSwipe, useTemplateRefsList, useTextDirection, useTextSelection, useTextareaAutosize, useThrottledRefHistory, useTimeAgo, useTimeoutPoll, useTimestamp, useTitle, useTransition, useUrlSearchParams, useUserMedia, useVModel, useVModels, useVibrate, useVirtualList, useWakeLock, useWebNotification, useWebSocket, useWebWorker, useWebWorkerFn, useWindowFocus, useWindowScroll, useWindowSize };\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-scrollpanel-content-container {\\n    overflow: hidden;\\n    width: 100%;\\n    height: 100%;\\n    position: relative;\\n    z-index: 1;\\n    float: left;\\n}\\n\\n.p-scrollpanel-content {\\n    height: calc(100% + calc(2 * \".concat(dt('scrollpanel.bar.size'), \"));\\n    width: calc(100% + calc(2 * \").concat(dt('scrollpanel.bar.size'), \"));\\n    padding: 0 calc(2 * \").concat(dt('scrollpanel.bar.size'), \") calc(2 * \").concat(dt('scrollpanel.bar.size'), \") 0;\\n    position: relative;\\n    overflow: auto;\\n    box-sizing: border-box;\\n    scrollbar-width: none;\\n}\\n\\n.p-scrollpanel-content::-webkit-scrollbar {\\n    display: none;\\n}\\n\\n.p-scrollpanel-bar {\\n    position: relative;\\n    border-radius: \").concat(dt('scrollpanel.bar.border.radius'), \";\\n    z-index: 2;\\n    cursor: pointer;\\n    opacity: 0;\\n    outline-color: transparent;\\n    transition: outline-color \").concat(dt('scrollpanel.transition.duration'), \";\\n    background: \").concat(dt('scrollpanel.bar.background'), \";\\n    border: 0 none;\\n    transition: outline-color \").concat(dt('scrollpanel.transition.duration'), \", opacity \").concat(dt('scrollpanel.transition.duration'), \";\\n}\\n\\n.p-scrollpanel-bar:focus-visible {\\n    box-shadow: \").concat(dt('scrollpanel.bar.focus.ring.shadow'), \";\\n    outline: \").concat(dt('scrollpanel.barfocus.ring.width'), \" \").concat(dt('scrollpanel.bar.focus.ring.style'), \" \").concat(dt('scrollpanel.bar.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('scrollpanel.barfocus.ring.offset'), \";\\n}\\n\\n.p-scrollpanel-bar-y {\\n    width: \").concat(dt('scrollpanel.bar.size'), \";\\n    top: 0;\\n}\\n\\n.p-scrollpanel-bar-x {\\n    height: \").concat(dt('scrollpanel.bar.size'), \";\\n    bottom: 0;\\n}\\n\\n.p-scrollpanel-hidden {\\n    visibility: hidden;\\n}\\n\\n.p-scrollpanel:hover .p-scrollpanel-bar,\\n.p-scrollpanel:active .p-scrollpanel-bar {\\n    opacity: 1;\\n}\\n\\n.p-scrollpanel-grabbed {\\n    user-select: none;\\n}\\n\");\n};\nvar classes = {\n  root: 'p-scrollpanel p-component',\n  contentContainer: 'p-scrollpanel-content-container',\n  content: 'p-scrollpanel-content',\n  barX: 'p-scrollpanel-bar p-scrollpanel-bar-x',\n  barY: 'p-scrollpanel-bar p-scrollpanel-bar-y'\n};\nvar ScrollPanelStyle = BaseStyle.extend({\n  name: 'scrollpanel',\n  theme: theme,\n  classes: classes\n});\n\nexport { ScrollPanelStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { UniqueComponentId } from '@primevue/core/utils';\nimport { getHeight, addClass, removeClass } from '@primeuix/utils/dom';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport ScrollPanelStyle from 'primevue/scrollpanel/style';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode, renderSlot } from 'vue';\n\nvar script$1 = {\n  name: 'BaseScrollPanel',\n  \"extends\": BaseComponent,\n  props: {\n    step: {\n      type: Number,\n      \"default\": 5\n    }\n  },\n  style: ScrollPanelStyle,\n  provide: function provide() {\n    return {\n      $pcScrollPanel: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'ScrollPanel',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  initialized: false,\n  documentResizeListener: null,\n  documentMouseMoveListener: null,\n  documentMouseUpListener: null,\n  frame: null,\n  scrollXRatio: null,\n  scrollYRatio: null,\n  isXBarClicked: false,\n  isYBarClicked: false,\n  lastPageX: null,\n  lastPageY: null,\n  timer: null,\n  outsideClickListener: null,\n  data: function data() {\n    return {\n      id: this.$attrs.id,\n      orientation: 'vertical',\n      lastScrollTop: 0,\n      lastScrollLeft: 0\n    };\n  },\n  watch: {\n    '$attrs.id': function $attrsId(newValue) {\n      this.id = newValue || UniqueComponentId();\n    }\n  },\n  mounted: function mounted() {\n    this.id = this.id || UniqueComponentId();\n    if (this.$el.offsetParent) {\n      this.initialize();\n    }\n  },\n  updated: function updated() {\n    if (!this.initialized && this.$el.offsetParent) {\n      this.initialize();\n    }\n  },\n  beforeUnmount: function beforeUnmount() {\n    this.unbindDocumentResizeListener();\n    if (this.frame) {\n      window.cancelAnimationFrame(this.frame);\n    }\n  },\n  methods: {\n    initialize: function initialize() {\n      this.moveBar();\n      this.bindDocumentResizeListener();\n      this.calculateContainerHeight();\n    },\n    calculateContainerHeight: function calculateContainerHeight() {\n      var containerStyles = getComputedStyle(this.$el),\n        xBarStyles = getComputedStyle(this.$refs.xBar),\n        pureContainerHeight = getHeight(this.$el) - parseInt(xBarStyles['height'], 10);\n      if (containerStyles['max-height'] !== 'none' && pureContainerHeight === 0) {\n        if (this.$refs.content.offsetHeight + parseInt(xBarStyles['height'], 10) > parseInt(containerStyles['max-height'], 10)) {\n          this.$el.style.height = containerStyles['max-height'];\n        } else {\n          this.$el.style.height = this.$refs.content.offsetHeight + parseFloat(containerStyles.paddingTop) + parseFloat(containerStyles.paddingBottom) + parseFloat(containerStyles.borderTopWidth) + parseFloat(containerStyles.borderBottomWidth) + 'px';\n        }\n      }\n    },\n    moveBar: function moveBar() {\n      var _this = this;\n      if (this.$refs.content) {\n        /* horizontal scroll */\n        var totalWidth = this.$refs.content.scrollWidth;\n        var ownWidth = this.$refs.content.clientWidth;\n        var bottom = (this.$el.clientHeight - this.$refs.xBar.clientHeight) * -1;\n        this.scrollXRatio = ownWidth / totalWidth;\n\n        /* vertical scroll */\n        var totalHeight = this.$refs.content.scrollHeight;\n        var ownHeight = this.$refs.content.clientHeight;\n        var right = (this.$el.clientWidth - this.$refs.yBar.clientWidth) * -1;\n        this.scrollYRatio = ownHeight / totalHeight;\n        this.frame = this.requestAnimationFrame(function () {\n          if (_this.$refs.xBar) {\n            if (_this.scrollXRatio >= 1) {\n              _this.$refs.xBar.setAttribute('data-p-scrollpanel-hidden', 'true');\n              !_this.isUnstyled && addClass(_this.$refs.xBar, 'p-scrollpanel-hidden');\n            } else {\n              _this.$refs.xBar.setAttribute('data-p-scrollpanel-hidden', 'false');\n              !_this.isUnstyled && removeClass(_this.$refs.xBar, 'p-scrollpanel-hidden');\n              _this.$refs.xBar.style.cssText = 'width:' + Math.max(_this.scrollXRatio * 100, 10) + '%; left:' + _this.$refs.content.scrollLeft / totalWidth * 100 + '%;bottom:' + bottom + 'px;';\n            }\n          }\n          if (_this.$refs.yBar) {\n            if (_this.scrollYRatio >= 1) {\n              _this.$refs.yBar.setAttribute('data-p-scrollpanel-hidden', 'true');\n              !_this.isUnstyled && addClass(_this.$refs.yBar, 'p-scrollpanel-hidden');\n            } else {\n              _this.$refs.yBar.setAttribute('data-p-scrollpanel-hidden', 'false');\n              !_this.isUnstyled && removeClass(_this.$refs.yBar, 'p-scrollpanel-hidden');\n              _this.$refs.yBar.style.cssText = 'height:' + Math.max(_this.scrollYRatio * 100, 10) + '%; top: calc(' + _this.$refs.content.scrollTop / totalHeight * 100 + '% - ' + _this.$refs.xBar.clientHeight + 'px);right:' + right + 'px;';\n            }\n          }\n        });\n      }\n    },\n    onYBarMouseDown: function onYBarMouseDown(e) {\n      this.isYBarClicked = true;\n      this.$refs.yBar.focus();\n      this.lastPageY = e.pageY;\n      this.$refs.yBar.setAttribute('data-p-scrollpanel-grabbed', 'true');\n      !this.isUnstyled && addClass(this.$refs.yBar, 'p-scrollpanel-grabbed');\n      document.body.setAttribute('data-p-scrollpanel-grabbed', 'true');\n      !this.isUnstyled && addClass(document.body, 'p-scrollpanel-grabbed');\n      this.bindDocumentMouseListeners();\n      e.preventDefault();\n    },\n    onXBarMouseDown: function onXBarMouseDown(e) {\n      this.isXBarClicked = true;\n      this.$refs.xBar.focus();\n      this.lastPageX = e.pageX;\n      this.$refs.yBar.setAttribute('data-p-scrollpanel-grabbed', 'false');\n      !this.isUnstyled && addClass(this.$refs.xBar, 'p-scrollpanel-grabbed');\n      document.body.setAttribute('data-p-scrollpanel-grabbed', 'false');\n      !this.isUnstyled && addClass(document.body, 'p-scrollpanel-grabbed');\n      this.bindDocumentMouseListeners();\n      e.preventDefault();\n    },\n    onScroll: function onScroll(event) {\n      if (this.lastScrollLeft !== event.target.scrollLeft) {\n        this.lastScrollLeft = event.target.scrollLeft;\n        this.orientation = 'horizontal';\n      } else if (this.lastScrollTop !== event.target.scrollTop) {\n        this.lastScrollTop = event.target.scrollTop;\n        this.orientation = 'vertical';\n      }\n      this.moveBar();\n    },\n    onKeyDown: function onKeyDown(event) {\n      if (this.orientation === 'vertical') {\n        switch (event.code) {\n          case 'ArrowDown':\n            {\n              this.setTimer('scrollTop', this.step);\n              event.preventDefault();\n              break;\n            }\n          case 'ArrowUp':\n            {\n              this.setTimer('scrollTop', this.step * -1);\n              event.preventDefault();\n              break;\n            }\n          case 'ArrowLeft':\n          case 'ArrowRight':\n            {\n              event.preventDefault();\n              break;\n            }\n        }\n      } else if (this.orientation === 'horizontal') {\n        switch (event.code) {\n          case 'ArrowRight':\n            {\n              this.setTimer('scrollLeft', this.step);\n              event.preventDefault();\n              break;\n            }\n          case 'ArrowLeft':\n            {\n              this.setTimer('scrollLeft', this.step * -1);\n              event.preventDefault();\n              break;\n            }\n          case 'ArrowDown':\n          case 'ArrowUp':\n            {\n              event.preventDefault();\n              break;\n            }\n        }\n      }\n    },\n    onKeyUp: function onKeyUp() {\n      this.clearTimer();\n    },\n    repeat: function repeat(bar, step) {\n      this.$refs.content[bar] += step;\n      this.moveBar();\n    },\n    setTimer: function setTimer(bar, step) {\n      var _this2 = this;\n      this.clearTimer();\n      this.timer = setTimeout(function () {\n        _this2.repeat(bar, step);\n      }, 40);\n    },\n    clearTimer: function clearTimer() {\n      if (this.timer) {\n        clearTimeout(this.timer);\n      }\n    },\n    onDocumentMouseMove: function onDocumentMouseMove(e) {\n      if (this.isXBarClicked) {\n        this.onMouseMoveForXBar(e);\n      } else if (this.isYBarClicked) {\n        this.onMouseMoveForYBar(e);\n      } else {\n        this.onMouseMoveForXBar(e);\n        this.onMouseMoveForYBar(e);\n      }\n    },\n    onMouseMoveForXBar: function onMouseMoveForXBar(e) {\n      var _this3 = this;\n      var deltaX = e.pageX - this.lastPageX;\n      this.lastPageX = e.pageX;\n      this.frame = this.requestAnimationFrame(function () {\n        _this3.$refs.content.scrollLeft += deltaX / _this3.scrollXRatio;\n      });\n    },\n    onMouseMoveForYBar: function onMouseMoveForYBar(e) {\n      var _this4 = this;\n      var deltaY = e.pageY - this.lastPageY;\n      this.lastPageY = e.pageY;\n      this.frame = this.requestAnimationFrame(function () {\n        _this4.$refs.content.scrollTop += deltaY / _this4.scrollYRatio;\n      });\n    },\n    onFocus: function onFocus(event) {\n      if (this.$refs.xBar.isSameNode(event.target)) {\n        this.orientation = 'horizontal';\n      } else if (this.$refs.yBar.isSameNode(event.target)) {\n        this.orientation = 'vertical';\n      }\n    },\n    onBlur: function onBlur() {\n      if (this.orientation === 'horizontal') {\n        this.orientation = 'vertical';\n      }\n    },\n    onDocumentMouseUp: function onDocumentMouseUp() {\n      this.$refs.yBar.setAttribute('data-p-scrollpanel-grabbed', 'false');\n      !this.isUnstyled && removeClass(this.$refs.yBar, 'p-scrollpanel-grabbed');\n      this.$refs.xBar.setAttribute('data-p-scrollpanel-grabbed', 'false');\n      !this.isUnstyled && removeClass(this.$refs.xBar, 'p-scrollpanel-grabbed');\n      document.body.setAttribute('data-p-scrollpanel-grabbed', 'false');\n      !this.isUnstyled && removeClass(document.body, 'p-scrollpanel-grabbed');\n      this.unbindDocumentMouseListeners();\n      this.isXBarClicked = false;\n      this.isYBarClicked = false;\n    },\n    requestAnimationFrame: function requestAnimationFrame(f) {\n      var frame = window.requestAnimationFrame || this.timeoutFrame;\n      return frame(f);\n    },\n    refresh: function refresh() {\n      this.moveBar();\n    },\n    scrollTop: function scrollTop(_scrollTop) {\n      var scrollableHeight = this.$refs.content.scrollHeight - this.$refs.content.clientHeight;\n      _scrollTop = _scrollTop > scrollableHeight ? scrollableHeight : _scrollTop > 0 ? _scrollTop : 0;\n      this.$refs.content.scrollTop = _scrollTop;\n    },\n    timeoutFrame: function timeoutFrame(fn) {\n      setTimeout(fn, 0);\n    },\n    bindDocumentMouseListeners: function bindDocumentMouseListeners() {\n      var _this5 = this;\n      if (!this.documentMouseMoveListener) {\n        this.documentMouseMoveListener = function (e) {\n          _this5.onDocumentMouseMove(e);\n        };\n        document.addEventListener('mousemove', this.documentMouseMoveListener);\n      }\n      if (!this.documentMouseUpListener) {\n        this.documentMouseUpListener = function (e) {\n          _this5.onDocumentMouseUp(e);\n        };\n        document.addEventListener('mouseup', this.documentMouseUpListener);\n      }\n    },\n    unbindDocumentMouseListeners: function unbindDocumentMouseListeners() {\n      if (this.documentMouseMoveListener) {\n        document.removeEventListener('mousemove', this.documentMouseMoveListener);\n        this.documentMouseMoveListener = null;\n      }\n      if (this.documentMouseUpListener) {\n        document.removeEventListener('mouseup', this.documentMouseUpListener);\n        this.documentMouseUpListener = null;\n      }\n    },\n    bindDocumentResizeListener: function bindDocumentResizeListener() {\n      var _this6 = this;\n      if (!this.documentResizeListener) {\n        this.documentResizeListener = function () {\n          _this6.moveBar();\n        };\n        window.addEventListener('resize', this.documentResizeListener);\n      }\n    },\n    unbindDocumentResizeListener: function unbindDocumentResizeListener() {\n      if (this.documentResizeListener) {\n        window.removeEventListener('resize', this.documentResizeListener);\n        this.documentResizeListener = null;\n      }\n    }\n  },\n  computed: {\n    contentId: function contentId() {\n      return this.id + '_content';\n    }\n  }\n};\n\nvar _hoisted_1 = [\"id\"];\nvar _hoisted_2 = [\"aria-controls\", \"aria-valuenow\"];\nvar _hoisted_3 = [\"aria-controls\", \"aria-valuenow\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root')), [createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('contentContainer')\n  }, _ctx.ptm('contentContainer')), [createElementVNode(\"div\", mergeProps({\n    ref: \"content\",\n    id: $options.contentId,\n    \"class\": _ctx.cx('content'),\n    onScroll: _cache[0] || (_cache[0] = function () {\n      return $options.onScroll && $options.onScroll.apply($options, arguments);\n    }),\n    onMouseenter: _cache[1] || (_cache[1] = function () {\n      return $options.moveBar && $options.moveBar.apply($options, arguments);\n    })\n  }, _ctx.ptm('content')), [renderSlot(_ctx.$slots, \"default\")], 16, _hoisted_1)], 16), createElementVNode(\"div\", mergeProps({\n    ref: \"xBar\",\n    \"class\": _ctx.cx('barx'),\n    tabindex: \"0\",\n    role: \"scrollbar\",\n    \"aria-orientation\": \"horizontal\",\n    \"aria-controls\": $options.contentId,\n    \"aria-valuenow\": $data.lastScrollLeft,\n    onMousedown: _cache[2] || (_cache[2] = function () {\n      return $options.onXBarMouseDown && $options.onXBarMouseDown.apply($options, arguments);\n    }),\n    onKeydown: _cache[3] || (_cache[3] = function ($event) {\n      return $options.onKeyDown($event);\n    }),\n    onKeyup: _cache[4] || (_cache[4] = function () {\n      return $options.onKeyUp && $options.onKeyUp.apply($options, arguments);\n    }),\n    onFocus: _cache[5] || (_cache[5] = function () {\n      return $options.onFocus && $options.onFocus.apply($options, arguments);\n    }),\n    onBlur: _cache[6] || (_cache[6] = function () {\n      return $options.onBlur && $options.onBlur.apply($options, arguments);\n    })\n  }, _ctx.ptm('barx'), {\n    \"data-pc-group-section\": \"bar\"\n  }), null, 16, _hoisted_2), createElementVNode(\"div\", mergeProps({\n    ref: \"yBar\",\n    \"class\": _ctx.cx('bary'),\n    tabindex: \"0\",\n    role: \"scrollbar\",\n    \"aria-orientation\": \"vertical\",\n    \"aria-controls\": $options.contentId,\n    \"aria-valuenow\": $data.lastScrollTop,\n    onMousedown: _cache[7] || (_cache[7] = function () {\n      return $options.onYBarMouseDown && $options.onYBarMouseDown.apply($options, arguments);\n    }),\n    onKeydown: _cache[8] || (_cache[8] = function ($event) {\n      return $options.onKeyDown($event);\n    }),\n    onKeyup: _cache[9] || (_cache[9] = function () {\n      return $options.onKeyUp && $options.onKeyUp.apply($options, arguments);\n    }),\n    onFocus: _cache[10] || (_cache[10] = function () {\n      return $options.onFocus && $options.onFocus.apply($options, arguments);\n    })\n  }, _ctx.ptm('bary'), {\n    \"data-pc-group-section\": \"bar\"\n  }), null, 16, _hoisted_3)], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","/*!\n  * shared v9.13.1\n  * (c) 2024 kazuya kawaguchi\n  * Released under the MIT License.\n  */\n/**\n * Original Utilities\n * written by kazuya kawaguchi\n */\nconst inBrowser = typeof window !== 'undefined';\nlet mark;\nlet measure;\nif ((process.env.NODE_ENV !== 'production')) {\n    const perf = inBrowser && window.performance;\n    if (perf &&\n        perf.mark &&\n        perf.measure &&\n        perf.clearMarks &&\n        // @ts-ignore browser compat\n        perf.clearMeasures) {\n        mark = (tag) => {\n            perf.mark(tag);\n        };\n        measure = (name, startTag, endTag) => {\n            perf.measure(name, startTag, endTag);\n            perf.clearMarks(startTag);\n            perf.clearMarks(endTag);\n        };\n    }\n}\nconst RE_ARGS = /\\{([0-9a-zA-Z]+)\\}/g;\n/* eslint-disable */\nfunction format(message, ...args) {\n    if (args.length === 1 && isObject(args[0])) {\n        args = args[0];\n    }\n    if (!args || !args.hasOwnProperty) {\n        args = {};\n    }\n    return message.replace(RE_ARGS, (match, identifier) => {\n        return args.hasOwnProperty(identifier) ? args[identifier] : '';\n    });\n}\nconst makeSymbol = (name, shareable = false) => !shareable ? Symbol(name) : Symbol.for(name);\nconst generateFormatCacheKey = (locale, key, source) => friendlyJSONstringify({ l: locale, k: key, s: source });\nconst friendlyJSONstringify = (json) => JSON.stringify(json)\n    .replace(/\\u2028/g, '\\\\u2028')\n    .replace(/\\u2029/g, '\\\\u2029')\n    .replace(/\\u0027/g, '\\\\u0027');\nconst isNumber = (val) => typeof val === 'number' && isFinite(val);\nconst isDate = (val) => toTypeString(val) === '[object Date]';\nconst isRegExp = (val) => toTypeString(val) === '[object RegExp]';\nconst isEmptyObject = (val) => isPlainObject(val) && Object.keys(val).length === 0;\nconst assign = Object.assign;\nlet _globalThis;\nconst getGlobalThis = () => {\n    // prettier-ignore\n    return (_globalThis ||\n        (_globalThis =\n            typeof globalThis !== 'undefined'\n                ? globalThis\n                : typeof self !== 'undefined'\n                    ? self\n                    : typeof window !== 'undefined'\n                        ? window\n                        : typeof global !== 'undefined'\n                            ? global\n                            : {}));\n};\nfunction escapeHtml(rawText) {\n    return rawText\n        .replace(/</g, '&lt;')\n        .replace(/>/g, '&gt;')\n        .replace(/\"/g, '&quot;')\n        .replace(/'/g, '&apos;');\n}\nconst hasOwnProperty = Object.prototype.hasOwnProperty;\nfunction hasOwn(obj, key) {\n    return hasOwnProperty.call(obj, key);\n}\n/* eslint-enable */\n/**\n * Useful Utilities By Evan you\n * Modified by kazuya kawaguchi\n * MIT License\n * https://github.com/vuejs/vue-next/blob/master/packages/shared/src/index.ts\n * https://github.com/vuejs/vue-next/blob/master/packages/shared/src/codeframe.ts\n */\nconst isArray = Array.isArray;\nconst isFunction = (val) => typeof val === 'function';\nconst isString = (val) => typeof val === 'string';\nconst isBoolean = (val) => typeof val === 'boolean';\nconst isSymbol = (val) => typeof val === 'symbol';\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nconst isObject = (val) => val !== null && typeof val === 'object';\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nconst isPromise = (val) => {\n    return isObject(val) && isFunction(val.then) && isFunction(val.catch);\n};\nconst objectToString = Object.prototype.toString;\nconst toTypeString = (value) => objectToString.call(value);\nconst isPlainObject = (val) => {\n    if (!isObject(val))\n        return false;\n    const proto = Object.getPrototypeOf(val);\n    return proto === null || proto.constructor === Object;\n};\n// for converting list and named values to displayed strings.\nconst toDisplayString = (val) => {\n    return val == null\n        ? ''\n        : isArray(val) || (isPlainObject(val) && val.toString === objectToString)\n            ? JSON.stringify(val, null, 2)\n            : String(val);\n};\nfunction join(items, separator = '') {\n    return items.reduce((str, item, index) => (index === 0 ? str + item : str + separator + item), '');\n}\nconst RANGE = 2;\nfunction generateCodeFrame(source, start = 0, end = source.length) {\n    const lines = source.split(/\\r?\\n/);\n    let count = 0;\n    const res = [];\n    for (let i = 0; i < lines.length; i++) {\n        count += lines[i].length + 1;\n        if (count >= start) {\n            for (let j = i - RANGE; j <= i + RANGE || end > count; j++) {\n                if (j < 0 || j >= lines.length)\n                    continue;\n                const line = j + 1;\n                res.push(`${line}${' '.repeat(3 - String(line).length)}|  ${lines[j]}`);\n                const lineLength = lines[j].length;\n                if (j === i) {\n                    // push underline\n                    const pad = start - (count - lineLength) + 1;\n                    const length = Math.max(1, end > count ? lineLength - pad : end - start);\n                    res.push(`   |  ` + ' '.repeat(pad) + '^'.repeat(length));\n                }\n                else if (j > i) {\n                    if (end > count) {\n                        const length = Math.max(Math.min(end - count, lineLength), 1);\n                        res.push(`   |  ` + '^'.repeat(length));\n                    }\n                    count += lineLength + 1;\n                }\n            }\n            break;\n        }\n    }\n    return res.join('\\n');\n}\nfunction incrementer(code) {\n    let current = code;\n    return () => ++current;\n}\n\nfunction warn(msg, err) {\n    if (typeof console !== 'undefined') {\n        console.warn(`[intlify] ` + msg);\n        /* istanbul ignore if */\n        if (err) {\n            console.warn(err.stack);\n        }\n    }\n}\nconst hasWarned = {};\nfunction warnOnce(msg) {\n    if (!hasWarned[msg]) {\n        hasWarned[msg] = true;\n        warn(msg);\n    }\n}\n\n/**\n * Event emitter, forked from the below:\n * - original repository url: https://github.com/developit/mitt\n * - code url: https://github.com/developit/mitt/blob/master/src/index.ts\n * - author: Jason Miller (https://github.com/developit)\n * - license: MIT\n */\n/**\n * Create a event emitter\n *\n * @returns An event emitter\n */\nfunction createEmitter() {\n    const events = new Map();\n    const emitter = {\n        events,\n        on(event, handler) {\n            const handlers = events.get(event);\n            const added = handlers && handlers.push(handler);\n            if (!added) {\n                events.set(event, [handler]);\n            }\n        },\n        off(event, handler) {\n            const handlers = events.get(event);\n            if (handlers) {\n                handlers.splice(handlers.indexOf(handler) >>> 0, 1);\n            }\n        },\n        emit(event, payload) {\n            (events.get(event) || [])\n                .slice()\n                .map(handler => handler(payload));\n            (events.get('*') || [])\n                .slice()\n                .map(handler => handler(event, payload));\n        }\n    };\n    return emitter;\n}\n\nconst isNotObjectOrIsArray = (val) => !isObject(val) || isArray(val);\n// eslint-disable-next-line @typescript-eslint/no-explicit-any, @typescript-eslint/explicit-module-boundary-types\nfunction deepCopy(src, des) {\n    // src and des should both be objects, and none of them can be a array\n    if (isNotObjectOrIsArray(src) || isNotObjectOrIsArray(des)) {\n        throw new Error('Invalid value');\n    }\n    const stack = [{ src, des }];\n    while (stack.length) {\n        const { src, des } = stack.pop();\n        Object.keys(src).forEach(key => {\n            if (isNotObjectOrIsArray(src[key]) || isNotObjectOrIsArray(des[key])) {\n                // replace with src[key] when:\n                // src[key] or des[key] is not an object, or\n                // src[key] or des[key] is an array\n                des[key] = src[key];\n            }\n            else {\n                // src[key] and des[key] are both objects, merge them\n                stack.push({ src: src[key], des: des[key] });\n            }\n        });\n    }\n}\n\nexport { assign, createEmitter, deepCopy, escapeHtml, format, friendlyJSONstringify, generateCodeFrame, generateFormatCacheKey, getGlobalThis, hasOwn, inBrowser, incrementer, isArray, isBoolean, isDate, isEmptyObject, isFunction, isNumber, isObject, isPlainObject, isPromise, isRegExp, isString, isSymbol, join, makeSymbol, mark, measure, objectToString, toDisplayString, toTypeString, warn, warnOnce };\n","/*!\n  * message-compiler v9.13.1\n  * (c) 2024 kazuya kawaguchi\n  * Released under the MIT License.\n  */\nconst LOCATION_STUB = {\n    start: { line: 1, column: 1, offset: 0 },\n    end: { line: 1, column: 1, offset: 0 }\n};\nfunction createPosition(line, column, offset) {\n    return { line, column, offset };\n}\nfunction createLocation(start, end, source) {\n    const loc = { start, end };\n    if (source != null) {\n        loc.source = source;\n    }\n    return loc;\n}\n\n/**\n * Original Utilities\n * written by kazuya kawaguchi\n */\nconst RE_ARGS = /\\{([0-9a-zA-Z]+)\\}/g;\n/* eslint-disable */\nfunction format(message, ...args) {\n    if (args.length === 1 && isObject(args[0])) {\n        args = args[0];\n    }\n    if (!args || !args.hasOwnProperty) {\n        args = {};\n    }\n    return message.replace(RE_ARGS, (match, identifier) => {\n        return args.hasOwnProperty(identifier) ? args[identifier] : '';\n    });\n}\nconst assign = Object.assign;\nconst isString = (val) => typeof val === 'string';\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nconst isObject = (val) => val !== null && typeof val === 'object';\nfunction join(items, separator = '') {\n    return items.reduce((str, item, index) => (index === 0 ? str + item : str + separator + item), '');\n}\n\nconst CompileWarnCodes = {\n    USE_MODULO_SYNTAX: 1,\n    __EXTEND_POINT__: 2\n};\n/** @internal */\nconst warnMessages = {\n    [CompileWarnCodes.USE_MODULO_SYNTAX]: `Use modulo before '{{0}}'.`\n};\nfunction createCompileWarn(code, loc, ...args) {\n    const msg = format(warnMessages[code] || '', ...(args || [])) ;\n    const message = { message: String(msg), code };\n    if (loc) {\n        message.location = loc;\n    }\n    return message;\n}\n\nconst CompileErrorCodes = {\n    // tokenizer error codes\n    EXPECTED_TOKEN: 1,\n    INVALID_TOKEN_IN_PLACEHOLDER: 2,\n    UNTERMINATED_SINGLE_QUOTE_IN_PLACEHOLDER: 3,\n    UNKNOWN_ESCAPE_SEQUENCE: 4,\n    INVALID_UNICODE_ESCAPE_SEQUENCE: 5,\n    UNBALANCED_CLOSING_BRACE: 6,\n    UNTERMINATED_CLOSING_BRACE: 7,\n    EMPTY_PLACEHOLDER: 8,\n    NOT_ALLOW_NEST_PLACEHOLDER: 9,\n    INVALID_LINKED_FORMAT: 10,\n    // parser error codes\n    MUST_HAVE_MESSAGES_IN_PLURAL: 11,\n    UNEXPECTED_EMPTY_LINKED_MODIFIER: 12,\n    UNEXPECTED_EMPTY_LINKED_KEY: 13,\n    UNEXPECTED_LEXICAL_ANALYSIS: 14,\n    // generator error codes\n    UNHANDLED_CODEGEN_NODE_TYPE: 15,\n    // minifier error codes\n    UNHANDLED_MINIFIER_NODE_TYPE: 16,\n    // Special value for higher-order compilers to pick up the last code\n    // to avoid collision of error codes. This should always be kept as the last\n    // item.\n    __EXTEND_POINT__: 17\n};\n/** @internal */\nconst errorMessages = {\n    // tokenizer error messages\n    [CompileErrorCodes.EXPECTED_TOKEN]: `Expected token: '{0}'`,\n    [CompileErrorCodes.INVALID_TOKEN_IN_PLACEHOLDER]: `Invalid token in placeholder: '{0}'`,\n    [CompileErrorCodes.UNTERMINATED_SINGLE_QUOTE_IN_PLACEHOLDER]: `Unterminated single quote in placeholder`,\n    [CompileErrorCodes.UNKNOWN_ESCAPE_SEQUENCE]: `Unknown escape sequence: \\\\{0}`,\n    [CompileErrorCodes.INVALID_UNICODE_ESCAPE_SEQUENCE]: `Invalid unicode escape sequence: {0}`,\n    [CompileErrorCodes.UNBALANCED_CLOSING_BRACE]: `Unbalanced closing brace`,\n    [CompileErrorCodes.UNTERMINATED_CLOSING_BRACE]: `Unterminated closing brace`,\n    [CompileErrorCodes.EMPTY_PLACEHOLDER]: `Empty placeholder`,\n    [CompileErrorCodes.NOT_ALLOW_NEST_PLACEHOLDER]: `Not allowed nest placeholder`,\n    [CompileErrorCodes.INVALID_LINKED_FORMAT]: `Invalid linked format`,\n    // parser error messages\n    [CompileErrorCodes.MUST_HAVE_MESSAGES_IN_PLURAL]: `Plural must have messages`,\n    [CompileErrorCodes.UNEXPECTED_EMPTY_LINKED_MODIFIER]: `Unexpected empty linked modifier`,\n    [CompileErrorCodes.UNEXPECTED_EMPTY_LINKED_KEY]: `Unexpected empty linked key`,\n    [CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS]: `Unexpected lexical analysis in token: '{0}'`,\n    // generator error messages\n    [CompileErrorCodes.UNHANDLED_CODEGEN_NODE_TYPE]: `unhandled codegen node type: '{0}'`,\n    // minimizer error messages\n    [CompileErrorCodes.UNHANDLED_MINIFIER_NODE_TYPE]: `unhandled mimifier node type: '{0}'`\n};\nfunction createCompileError(code, loc, options = {}) {\n    const { domain, messages, args } = options;\n    const msg = format((messages || errorMessages)[code] || '', ...(args || []))\n        ;\n    const error = new SyntaxError(String(msg));\n    error.code = code;\n    if (loc) {\n        error.location = loc;\n    }\n    error.domain = domain;\n    return error;\n}\n/** @internal */\nfunction defaultOnError(error) {\n    throw error;\n}\n\n// eslint-disable-next-line no-useless-escape\nconst RE_HTML_TAG = /<\\/?[\\w\\s=\"/.':;#-\\/]+>/;\nconst detectHtmlTag = (source) => RE_HTML_TAG.test(source);\n\nconst CHAR_SP = ' ';\nconst CHAR_CR = '\\r';\nconst CHAR_LF = '\\n';\nconst CHAR_LS = String.fromCharCode(0x2028);\nconst CHAR_PS = String.fromCharCode(0x2029);\nfunction createScanner(str) {\n    const _buf = str;\n    let _index = 0;\n    let _line = 1;\n    let _column = 1;\n    let _peekOffset = 0;\n    const isCRLF = (index) => _buf[index] === CHAR_CR && _buf[index + 1] === CHAR_LF;\n    const isLF = (index) => _buf[index] === CHAR_LF;\n    const isPS = (index) => _buf[index] === CHAR_PS;\n    const isLS = (index) => _buf[index] === CHAR_LS;\n    const isLineEnd = (index) => isCRLF(index) || isLF(index) || isPS(index) || isLS(index);\n    const index = () => _index;\n    const line = () => _line;\n    const column = () => _column;\n    const peekOffset = () => _peekOffset;\n    const charAt = (offset) => isCRLF(offset) || isPS(offset) || isLS(offset) ? CHAR_LF : _buf[offset];\n    const currentChar = () => charAt(_index);\n    const currentPeek = () => charAt(_index + _peekOffset);\n    function next() {\n        _peekOffset = 0;\n        if (isLineEnd(_index)) {\n            _line++;\n            _column = 0;\n        }\n        if (isCRLF(_index)) {\n            _index++;\n        }\n        _index++;\n        _column++;\n        return _buf[_index];\n    }\n    function peek() {\n        if (isCRLF(_index + _peekOffset)) {\n            _peekOffset++;\n        }\n        _peekOffset++;\n        return _buf[_index + _peekOffset];\n    }\n    function reset() {\n        _index = 0;\n        _line = 1;\n        _column = 1;\n        _peekOffset = 0;\n    }\n    function resetPeek(offset = 0) {\n        _peekOffset = offset;\n    }\n    function skipToPeek() {\n        const target = _index + _peekOffset;\n        // eslint-disable-next-line no-unmodified-loop-condition\n        while (target !== _index) {\n            next();\n        }\n        _peekOffset = 0;\n    }\n    return {\n        index,\n        line,\n        column,\n        peekOffset,\n        charAt,\n        currentChar,\n        currentPeek,\n        next,\n        peek,\n        reset,\n        resetPeek,\n        skipToPeek\n    };\n}\n\nconst EOF = undefined;\nconst DOT = '.';\nconst LITERAL_DELIMITER = \"'\";\nconst ERROR_DOMAIN$3 = 'tokenizer';\nfunction createTokenizer(source, options = {}) {\n    const location = options.location !== false;\n    const _scnr = createScanner(source);\n    const currentOffset = () => _scnr.index();\n    const currentPosition = () => createPosition(_scnr.line(), _scnr.column(), _scnr.index());\n    const _initLoc = currentPosition();\n    const _initOffset = currentOffset();\n    const _context = {\n        currentType: 14 /* TokenTypes.EOF */,\n        offset: _initOffset,\n        startLoc: _initLoc,\n        endLoc: _initLoc,\n        lastType: 14 /* TokenTypes.EOF */,\n        lastOffset: _initOffset,\n        lastStartLoc: _initLoc,\n        lastEndLoc: _initLoc,\n        braceNest: 0,\n        inLinked: false,\n        text: ''\n    };\n    const context = () => _context;\n    const { onError } = options;\n    function emitError(code, pos, offset, ...args) {\n        const ctx = context();\n        pos.column += offset;\n        pos.offset += offset;\n        if (onError) {\n            const loc = location ? createLocation(ctx.startLoc, pos) : null;\n            const err = createCompileError(code, loc, {\n                domain: ERROR_DOMAIN$3,\n                args\n            });\n            onError(err);\n        }\n    }\n    function getToken(context, type, value) {\n        context.endLoc = currentPosition();\n        context.currentType = type;\n        const token = { type };\n        if (location) {\n            token.loc = createLocation(context.startLoc, context.endLoc);\n        }\n        if (value != null) {\n            token.value = value;\n        }\n        return token;\n    }\n    const getEndToken = (context) => getToken(context, 14 /* TokenTypes.EOF */);\n    function eat(scnr, ch) {\n        if (scnr.currentChar() === ch) {\n            scnr.next();\n            return ch;\n        }\n        else {\n            emitError(CompileErrorCodes.EXPECTED_TOKEN, currentPosition(), 0, ch);\n            return '';\n        }\n    }\n    function peekSpaces(scnr) {\n        let buf = '';\n        while (scnr.currentPeek() === CHAR_SP || scnr.currentPeek() === CHAR_LF) {\n            buf += scnr.currentPeek();\n            scnr.peek();\n        }\n        return buf;\n    }\n    function skipSpaces(scnr) {\n        const buf = peekSpaces(scnr);\n        scnr.skipToPeek();\n        return buf;\n    }\n    function isIdentifierStart(ch) {\n        if (ch === EOF) {\n            return false;\n        }\n        const cc = ch.charCodeAt(0);\n        return ((cc >= 97 && cc <= 122) || // a-z\n            (cc >= 65 && cc <= 90) || // A-Z\n            cc === 95 // _\n        );\n    }\n    function isNumberStart(ch) {\n        if (ch === EOF) {\n            return false;\n        }\n        const cc = ch.charCodeAt(0);\n        return cc >= 48 && cc <= 57; // 0-9\n    }\n    function isNamedIdentifierStart(scnr, context) {\n        const { currentType } = context;\n        if (currentType !== 2 /* TokenTypes.BraceLeft */) {\n            return false;\n        }\n        peekSpaces(scnr);\n        const ret = isIdentifierStart(scnr.currentPeek());\n        scnr.resetPeek();\n        return ret;\n    }\n    function isListIdentifierStart(scnr, context) {\n        const { currentType } = context;\n        if (currentType !== 2 /* TokenTypes.BraceLeft */) {\n            return false;\n        }\n        peekSpaces(scnr);\n        const ch = scnr.currentPeek() === '-' ? scnr.peek() : scnr.currentPeek();\n        const ret = isNumberStart(ch);\n        scnr.resetPeek();\n        return ret;\n    }\n    function isLiteralStart(scnr, context) {\n        const { currentType } = context;\n        if (currentType !== 2 /* TokenTypes.BraceLeft */) {\n            return false;\n        }\n        peekSpaces(scnr);\n        const ret = scnr.currentPeek() === LITERAL_DELIMITER;\n        scnr.resetPeek();\n        return ret;\n    }\n    function isLinkedDotStart(scnr, context) {\n        const { currentType } = context;\n        if (currentType !== 8 /* TokenTypes.LinkedAlias */) {\n            return false;\n        }\n        peekSpaces(scnr);\n        const ret = scnr.currentPeek() === \".\" /* TokenChars.LinkedDot */;\n        scnr.resetPeek();\n        return ret;\n    }\n    function isLinkedModifierStart(scnr, context) {\n        const { currentType } = context;\n        if (currentType !== 9 /* TokenTypes.LinkedDot */) {\n            return false;\n        }\n        peekSpaces(scnr);\n        const ret = isIdentifierStart(scnr.currentPeek());\n        scnr.resetPeek();\n        return ret;\n    }\n    function isLinkedDelimiterStart(scnr, context) {\n        const { currentType } = context;\n        if (!(currentType === 8 /* TokenTypes.LinkedAlias */ ||\n            currentType === 12 /* TokenTypes.LinkedModifier */)) {\n            return false;\n        }\n        peekSpaces(scnr);\n        const ret = scnr.currentPeek() === \":\" /* TokenChars.LinkedDelimiter */;\n        scnr.resetPeek();\n        return ret;\n    }\n    function isLinkedReferStart(scnr, context) {\n        const { currentType } = context;\n        if (currentType !== 10 /* TokenTypes.LinkedDelimiter */) {\n            return false;\n        }\n        const fn = () => {\n            const ch = scnr.currentPeek();\n            if (ch === \"{\" /* TokenChars.BraceLeft */) {\n                return isIdentifierStart(scnr.peek());\n            }\n            else if (ch === \"@\" /* TokenChars.LinkedAlias */ ||\n                ch === \"%\" /* TokenChars.Modulo */ ||\n                ch === \"|\" /* TokenChars.Pipe */ ||\n                ch === \":\" /* TokenChars.LinkedDelimiter */ ||\n                ch === \".\" /* TokenChars.LinkedDot */ ||\n                ch === CHAR_SP ||\n                !ch) {\n                return false;\n            }\n            else if (ch === CHAR_LF) {\n                scnr.peek();\n                return fn();\n            }\n            else {\n                // other characters\n                return isTextStart(scnr, false);\n            }\n        };\n        const ret = fn();\n        scnr.resetPeek();\n        return ret;\n    }\n    function isPluralStart(scnr) {\n        peekSpaces(scnr);\n        const ret = scnr.currentPeek() === \"|\" /* TokenChars.Pipe */;\n        scnr.resetPeek();\n        return ret;\n    }\n    function detectModuloStart(scnr) {\n        const spaces = peekSpaces(scnr);\n        const ret = scnr.currentPeek() === \"%\" /* TokenChars.Modulo */ &&\n            scnr.peek() === \"{\" /* TokenChars.BraceLeft */;\n        scnr.resetPeek();\n        return {\n            isModulo: ret,\n            hasSpace: spaces.length > 0\n        };\n    }\n    function isTextStart(scnr, reset = true) {\n        const fn = (hasSpace = false, prev = '', detectModulo = false) => {\n            const ch = scnr.currentPeek();\n            if (ch === \"{\" /* TokenChars.BraceLeft */) {\n                return prev === \"%\" /* TokenChars.Modulo */ ? false : hasSpace;\n            }\n            else if (ch === \"@\" /* TokenChars.LinkedAlias */ || !ch) {\n                return prev === \"%\" /* TokenChars.Modulo */ ? true : hasSpace;\n            }\n            else if (ch === \"%\" /* TokenChars.Modulo */) {\n                scnr.peek();\n                return fn(hasSpace, \"%\" /* TokenChars.Modulo */, true);\n            }\n            else if (ch === \"|\" /* TokenChars.Pipe */) {\n                return prev === \"%\" /* TokenChars.Modulo */ || detectModulo\n                    ? true\n                    : !(prev === CHAR_SP || prev === CHAR_LF);\n            }\n            else if (ch === CHAR_SP) {\n                scnr.peek();\n                return fn(true, CHAR_SP, detectModulo);\n            }\n            else if (ch === CHAR_LF) {\n                scnr.peek();\n                return fn(true, CHAR_LF, detectModulo);\n            }\n            else {\n                return true;\n            }\n        };\n        const ret = fn();\n        reset && scnr.resetPeek();\n        return ret;\n    }\n    function takeChar(scnr, fn) {\n        const ch = scnr.currentChar();\n        if (ch === EOF) {\n            return EOF;\n        }\n        if (fn(ch)) {\n            scnr.next();\n            return ch;\n        }\n        return null;\n    }\n    function isIdentifier(ch) {\n        const cc = ch.charCodeAt(0);\n        return ((cc >= 97 && cc <= 122) || // a-z\n            (cc >= 65 && cc <= 90) || // A-Z\n            (cc >= 48 && cc <= 57) || // 0-9\n            cc === 95 || // _\n            cc === 36 // $\n        );\n    }\n    function takeIdentifierChar(scnr) {\n        return takeChar(scnr, isIdentifier);\n    }\n    function isNamedIdentifier(ch) {\n        const cc = ch.charCodeAt(0);\n        return ((cc >= 97 && cc <= 122) || // a-z\n            (cc >= 65 && cc <= 90) || // A-Z\n            (cc >= 48 && cc <= 57) || // 0-9\n            cc === 95 || // _\n            cc === 36 || // $\n            cc === 45 // -\n        );\n    }\n    function takeNamedIdentifierChar(scnr) {\n        return takeChar(scnr, isNamedIdentifier);\n    }\n    function isDigit(ch) {\n        const cc = ch.charCodeAt(0);\n        return cc >= 48 && cc <= 57; // 0-9\n    }\n    function takeDigit(scnr) {\n        return takeChar(scnr, isDigit);\n    }\n    function isHexDigit(ch) {\n        const cc = ch.charCodeAt(0);\n        return ((cc >= 48 && cc <= 57) || // 0-9\n            (cc >= 65 && cc <= 70) || // A-F\n            (cc >= 97 && cc <= 102)); // a-f\n    }\n    function takeHexDigit(scnr) {\n        return takeChar(scnr, isHexDigit);\n    }\n    function getDigits(scnr) {\n        let ch = '';\n        let num = '';\n        while ((ch = takeDigit(scnr))) {\n            num += ch;\n        }\n        return num;\n    }\n    function readModulo(scnr) {\n        skipSpaces(scnr);\n        const ch = scnr.currentChar();\n        if (ch !== \"%\" /* TokenChars.Modulo */) {\n            emitError(CompileErrorCodes.EXPECTED_TOKEN, currentPosition(), 0, ch);\n        }\n        scnr.next();\n        return \"%\" /* TokenChars.Modulo */;\n    }\n    function readText(scnr) {\n        let buf = '';\n        // eslint-disable-next-line no-constant-condition\n        while (true) {\n            const ch = scnr.currentChar();\n            if (ch === \"{\" /* TokenChars.BraceLeft */ ||\n                ch === \"}\" /* TokenChars.BraceRight */ ||\n                ch === \"@\" /* TokenChars.LinkedAlias */ ||\n                ch === \"|\" /* TokenChars.Pipe */ ||\n                !ch) {\n                break;\n            }\n            else if (ch === \"%\" /* TokenChars.Modulo */) {\n                if (isTextStart(scnr)) {\n                    buf += ch;\n                    scnr.next();\n                }\n                else {\n                    break;\n                }\n            }\n            else if (ch === CHAR_SP || ch === CHAR_LF) {\n                if (isTextStart(scnr)) {\n                    buf += ch;\n                    scnr.next();\n                }\n                else if (isPluralStart(scnr)) {\n                    break;\n                }\n                else {\n                    buf += ch;\n                    scnr.next();\n                }\n            }\n            else {\n                buf += ch;\n                scnr.next();\n            }\n        }\n        return buf;\n    }\n    function readNamedIdentifier(scnr) {\n        skipSpaces(scnr);\n        let ch = '';\n        let name = '';\n        while ((ch = takeNamedIdentifierChar(scnr))) {\n            name += ch;\n        }\n        if (scnr.currentChar() === EOF) {\n            emitError(CompileErrorCodes.UNTERMINATED_CLOSING_BRACE, currentPosition(), 0);\n        }\n        return name;\n    }\n    function readListIdentifier(scnr) {\n        skipSpaces(scnr);\n        let value = '';\n        if (scnr.currentChar() === '-') {\n            scnr.next();\n            value += `-${getDigits(scnr)}`;\n        }\n        else {\n            value += getDigits(scnr);\n        }\n        if (scnr.currentChar() === EOF) {\n            emitError(CompileErrorCodes.UNTERMINATED_CLOSING_BRACE, currentPosition(), 0);\n        }\n        return value;\n    }\n    function isLiteral(ch) {\n        return ch !== LITERAL_DELIMITER && ch !== CHAR_LF;\n    }\n    function readLiteral(scnr) {\n        skipSpaces(scnr);\n        // eslint-disable-next-line no-useless-escape\n        eat(scnr, `\\'`);\n        let ch = '';\n        let literal = '';\n        while ((ch = takeChar(scnr, isLiteral))) {\n            if (ch === '\\\\') {\n                literal += readEscapeSequence(scnr);\n            }\n            else {\n                literal += ch;\n            }\n        }\n        const current = scnr.currentChar();\n        if (current === CHAR_LF || current === EOF) {\n            emitError(CompileErrorCodes.UNTERMINATED_SINGLE_QUOTE_IN_PLACEHOLDER, currentPosition(), 0);\n            // TODO: Is it correct really?\n            if (current === CHAR_LF) {\n                scnr.next();\n                // eslint-disable-next-line no-useless-escape\n                eat(scnr, `\\'`);\n            }\n            return literal;\n        }\n        // eslint-disable-next-line no-useless-escape\n        eat(scnr, `\\'`);\n        return literal;\n    }\n    function readEscapeSequence(scnr) {\n        const ch = scnr.currentChar();\n        switch (ch) {\n            case '\\\\':\n            case `\\'`: // eslint-disable-line no-useless-escape\n                scnr.next();\n                return `\\\\${ch}`;\n            case 'u':\n                return readUnicodeEscapeSequence(scnr, ch, 4);\n            case 'U':\n                return readUnicodeEscapeSequence(scnr, ch, 6);\n            default:\n                emitError(CompileErrorCodes.UNKNOWN_ESCAPE_SEQUENCE, currentPosition(), 0, ch);\n                return '';\n        }\n    }\n    function readUnicodeEscapeSequence(scnr, unicode, digits) {\n        eat(scnr, unicode);\n        let sequence = '';\n        for (let i = 0; i < digits; i++) {\n            const ch = takeHexDigit(scnr);\n            if (!ch) {\n                emitError(CompileErrorCodes.INVALID_UNICODE_ESCAPE_SEQUENCE, currentPosition(), 0, `\\\\${unicode}${sequence}${scnr.currentChar()}`);\n                break;\n            }\n            sequence += ch;\n        }\n        return `\\\\${unicode}${sequence}`;\n    }\n    function isInvalidIdentifier(ch) {\n        return (ch !== \"{\" /* TokenChars.BraceLeft */ &&\n            ch !== \"}\" /* TokenChars.BraceRight */ &&\n            ch !== CHAR_SP &&\n            ch !== CHAR_LF);\n    }\n    function readInvalidIdentifier(scnr) {\n        skipSpaces(scnr);\n        let ch = '';\n        let identifiers = '';\n        while ((ch = takeChar(scnr, isInvalidIdentifier))) {\n            identifiers += ch;\n        }\n        return identifiers;\n    }\n    function readLinkedModifier(scnr) {\n        let ch = '';\n        let name = '';\n        while ((ch = takeIdentifierChar(scnr))) {\n            name += ch;\n        }\n        return name;\n    }\n    function readLinkedRefer(scnr) {\n        const fn = (buf) => {\n            const ch = scnr.currentChar();\n            if (ch === \"{\" /* TokenChars.BraceLeft */ ||\n                ch === \"%\" /* TokenChars.Modulo */ ||\n                ch === \"@\" /* TokenChars.LinkedAlias */ ||\n                ch === \"|\" /* TokenChars.Pipe */ ||\n                ch === \"(\" /* TokenChars.ParenLeft */ ||\n                ch === \")\" /* TokenChars.ParenRight */ ||\n                !ch) {\n                return buf;\n            }\n            else if (ch === CHAR_SP) {\n                return buf;\n            }\n            else if (ch === CHAR_LF || ch === DOT) {\n                buf += ch;\n                scnr.next();\n                return fn(buf);\n            }\n            else {\n                buf += ch;\n                scnr.next();\n                return fn(buf);\n            }\n        };\n        return fn('');\n    }\n    function readPlural(scnr) {\n        skipSpaces(scnr);\n        const plural = eat(scnr, \"|\" /* TokenChars.Pipe */);\n        skipSpaces(scnr);\n        return plural;\n    }\n    // TODO: We need refactoring of token parsing ...\n    function readTokenInPlaceholder(scnr, context) {\n        let token = null;\n        const ch = scnr.currentChar();\n        switch (ch) {\n            case \"{\" /* TokenChars.BraceLeft */:\n                if (context.braceNest >= 1) {\n                    emitError(CompileErrorCodes.NOT_ALLOW_NEST_PLACEHOLDER, currentPosition(), 0);\n                }\n                scnr.next();\n                token = getToken(context, 2 /* TokenTypes.BraceLeft */, \"{\" /* TokenChars.BraceLeft */);\n                skipSpaces(scnr);\n                context.braceNest++;\n                return token;\n            case \"}\" /* TokenChars.BraceRight */:\n                if (context.braceNest > 0 &&\n                    context.currentType === 2 /* TokenTypes.BraceLeft */) {\n                    emitError(CompileErrorCodes.EMPTY_PLACEHOLDER, currentPosition(), 0);\n                }\n                scnr.next();\n                token = getToken(context, 3 /* TokenTypes.BraceRight */, \"}\" /* TokenChars.BraceRight */);\n                context.braceNest--;\n                context.braceNest > 0 && skipSpaces(scnr);\n                if (context.inLinked && context.braceNest === 0) {\n                    context.inLinked = false;\n                }\n                return token;\n            case \"@\" /* TokenChars.LinkedAlias */:\n                if (context.braceNest > 0) {\n                    emitError(CompileErrorCodes.UNTERMINATED_CLOSING_BRACE, currentPosition(), 0);\n                }\n                token = readTokenInLinked(scnr, context) || getEndToken(context);\n                context.braceNest = 0;\n                return token;\n            default: {\n                let validNamedIdentifier = true;\n                let validListIdentifier = true;\n                let validLiteral = true;\n                if (isPluralStart(scnr)) {\n                    if (context.braceNest > 0) {\n                        emitError(CompileErrorCodes.UNTERMINATED_CLOSING_BRACE, currentPosition(), 0);\n                    }\n                    token = getToken(context, 1 /* TokenTypes.Pipe */, readPlural(scnr));\n                    // reset\n                    context.braceNest = 0;\n                    context.inLinked = false;\n                    return token;\n                }\n                if (context.braceNest > 0 &&\n                    (context.currentType === 5 /* TokenTypes.Named */ ||\n                        context.currentType === 6 /* TokenTypes.List */ ||\n                        context.currentType === 7 /* TokenTypes.Literal */)) {\n                    emitError(CompileErrorCodes.UNTERMINATED_CLOSING_BRACE, currentPosition(), 0);\n                    context.braceNest = 0;\n                    return readToken(scnr, context);\n                }\n                if ((validNamedIdentifier = isNamedIdentifierStart(scnr, context))) {\n                    token = getToken(context, 5 /* TokenTypes.Named */, readNamedIdentifier(scnr));\n                    skipSpaces(scnr);\n                    return token;\n                }\n                if ((validListIdentifier = isListIdentifierStart(scnr, context))) {\n                    token = getToken(context, 6 /* TokenTypes.List */, readListIdentifier(scnr));\n                    skipSpaces(scnr);\n                    return token;\n                }\n                if ((validLiteral = isLiteralStart(scnr, context))) {\n                    token = getToken(context, 7 /* TokenTypes.Literal */, readLiteral(scnr));\n                    skipSpaces(scnr);\n                    return token;\n                }\n                if (!validNamedIdentifier && !validListIdentifier && !validLiteral) {\n                    // TODO: we should be re-designed invalid cases, when we will extend message syntax near the future ...\n                    token = getToken(context, 13 /* TokenTypes.InvalidPlace */, readInvalidIdentifier(scnr));\n                    emitError(CompileErrorCodes.INVALID_TOKEN_IN_PLACEHOLDER, currentPosition(), 0, token.value);\n                    skipSpaces(scnr);\n                    return token;\n                }\n                break;\n            }\n        }\n        return token;\n    }\n    // TODO: We need refactoring of token parsing ...\n    function readTokenInLinked(scnr, context) {\n        const { currentType } = context;\n        let token = null;\n        const ch = scnr.currentChar();\n        if ((currentType === 8 /* TokenTypes.LinkedAlias */ ||\n            currentType === 9 /* TokenTypes.LinkedDot */ ||\n            currentType === 12 /* TokenTypes.LinkedModifier */ ||\n            currentType === 10 /* TokenTypes.LinkedDelimiter */) &&\n            (ch === CHAR_LF || ch === CHAR_SP)) {\n            emitError(CompileErrorCodes.INVALID_LINKED_FORMAT, currentPosition(), 0);\n        }\n        switch (ch) {\n            case \"@\" /* TokenChars.LinkedAlias */:\n                scnr.next();\n                token = getToken(context, 8 /* TokenTypes.LinkedAlias */, \"@\" /* TokenChars.LinkedAlias */);\n                context.inLinked = true;\n                return token;\n            case \".\" /* TokenChars.LinkedDot */:\n                skipSpaces(scnr);\n                scnr.next();\n                return getToken(context, 9 /* TokenTypes.LinkedDot */, \".\" /* TokenChars.LinkedDot */);\n            case \":\" /* TokenChars.LinkedDelimiter */:\n                skipSpaces(scnr);\n                scnr.next();\n                return getToken(context, 10 /* TokenTypes.LinkedDelimiter */, \":\" /* TokenChars.LinkedDelimiter */);\n            default:\n                if (isPluralStart(scnr)) {\n                    token = getToken(context, 1 /* TokenTypes.Pipe */, readPlural(scnr));\n                    // reset\n                    context.braceNest = 0;\n                    context.inLinked = false;\n                    return token;\n                }\n                if (isLinkedDotStart(scnr, context) ||\n                    isLinkedDelimiterStart(scnr, context)) {\n                    skipSpaces(scnr);\n                    return readTokenInLinked(scnr, context);\n                }\n                if (isLinkedModifierStart(scnr, context)) {\n                    skipSpaces(scnr);\n                    return getToken(context, 12 /* TokenTypes.LinkedModifier */, readLinkedModifier(scnr));\n                }\n                if (isLinkedReferStart(scnr, context)) {\n                    skipSpaces(scnr);\n                    if (ch === \"{\" /* TokenChars.BraceLeft */) {\n                        // scan the placeholder\n                        return readTokenInPlaceholder(scnr, context) || token;\n                    }\n                    else {\n                        return getToken(context, 11 /* TokenTypes.LinkedKey */, readLinkedRefer(scnr));\n                    }\n                }\n                if (currentType === 8 /* TokenTypes.LinkedAlias */) {\n                    emitError(CompileErrorCodes.INVALID_LINKED_FORMAT, currentPosition(), 0);\n                }\n                context.braceNest = 0;\n                context.inLinked = false;\n                return readToken(scnr, context);\n        }\n    }\n    // TODO: We need refactoring of token parsing ...\n    function readToken(scnr, context) {\n        let token = { type: 14 /* TokenTypes.EOF */ };\n        if (context.braceNest > 0) {\n            return readTokenInPlaceholder(scnr, context) || getEndToken(context);\n        }\n        if (context.inLinked) {\n            return readTokenInLinked(scnr, context) || getEndToken(context);\n        }\n        const ch = scnr.currentChar();\n        switch (ch) {\n            case \"{\" /* TokenChars.BraceLeft */:\n                return readTokenInPlaceholder(scnr, context) || getEndToken(context);\n            case \"}\" /* TokenChars.BraceRight */:\n                emitError(CompileErrorCodes.UNBALANCED_CLOSING_BRACE, currentPosition(), 0);\n                scnr.next();\n                return getToken(context, 3 /* TokenTypes.BraceRight */, \"}\" /* TokenChars.BraceRight */);\n            case \"@\" /* TokenChars.LinkedAlias */:\n                return readTokenInLinked(scnr, context) || getEndToken(context);\n            default: {\n                if (isPluralStart(scnr)) {\n                    token = getToken(context, 1 /* TokenTypes.Pipe */, readPlural(scnr));\n                    // reset\n                    context.braceNest = 0;\n                    context.inLinked = false;\n                    return token;\n                }\n                const { isModulo, hasSpace } = detectModuloStart(scnr);\n                if (isModulo) {\n                    return hasSpace\n                        ? getToken(context, 0 /* TokenTypes.Text */, readText(scnr))\n                        : getToken(context, 4 /* TokenTypes.Modulo */, readModulo(scnr));\n                }\n                if (isTextStart(scnr)) {\n                    return getToken(context, 0 /* TokenTypes.Text */, readText(scnr));\n                }\n                break;\n            }\n        }\n        return token;\n    }\n    function nextToken() {\n        const { currentType, offset, startLoc, endLoc } = _context;\n        _context.lastType = currentType;\n        _context.lastOffset = offset;\n        _context.lastStartLoc = startLoc;\n        _context.lastEndLoc = endLoc;\n        _context.offset = currentOffset();\n        _context.startLoc = currentPosition();\n        if (_scnr.currentChar() === EOF) {\n            return getToken(_context, 14 /* TokenTypes.EOF */);\n        }\n        return readToken(_scnr, _context);\n    }\n    return {\n        nextToken,\n        currentOffset,\n        currentPosition,\n        context\n    };\n}\n\nconst ERROR_DOMAIN$2 = 'parser';\n// Backslash backslash, backslash quote, uHHHH, UHHHHHH.\nconst KNOWN_ESCAPES = /(?:\\\\\\\\|\\\\'|\\\\u([0-9a-fA-F]{4})|\\\\U([0-9a-fA-F]{6}))/g;\nfunction fromEscapeSequence(match, codePoint4, codePoint6) {\n    switch (match) {\n        case `\\\\\\\\`:\n            return `\\\\`;\n        // eslint-disable-next-line no-useless-escape\n        case `\\\\\\'`:\n            // eslint-disable-next-line no-useless-escape\n            return `\\'`;\n        default: {\n            const codePoint = parseInt(codePoint4 || codePoint6, 16);\n            if (codePoint <= 0xd7ff || codePoint >= 0xe000) {\n                return String.fromCodePoint(codePoint);\n            }\n            // invalid ...\n            // Replace them with U+FFFD REPLACEMENT CHARACTER.\n            return '�';\n        }\n    }\n}\nfunction createParser(options = {}) {\n    const location = options.location !== false;\n    const { onError, onWarn } = options;\n    function emitError(tokenzer, code, start, offset, ...args) {\n        const end = tokenzer.currentPosition();\n        end.offset += offset;\n        end.column += offset;\n        if (onError) {\n            const loc = location ? createLocation(start, end) : null;\n            const err = createCompileError(code, loc, {\n                domain: ERROR_DOMAIN$2,\n                args\n            });\n            onError(err);\n        }\n    }\n    function emitWarn(tokenzer, code, start, offset, ...args) {\n        const end = tokenzer.currentPosition();\n        end.offset += offset;\n        end.column += offset;\n        if (onWarn) {\n            const loc = location ? createLocation(start, end) : null;\n            onWarn(createCompileWarn(code, loc, args));\n        }\n    }\n    function startNode(type, offset, loc) {\n        const node = { type };\n        if (location) {\n            node.start = offset;\n            node.end = offset;\n            node.loc = { start: loc, end: loc };\n        }\n        return node;\n    }\n    function endNode(node, offset, pos, type) {\n        if (type) {\n            node.type = type;\n        }\n        if (location) {\n            node.end = offset;\n            if (node.loc) {\n                node.loc.end = pos;\n            }\n        }\n    }\n    function parseText(tokenizer, value) {\n        const context = tokenizer.context();\n        const node = startNode(3 /* NodeTypes.Text */, context.offset, context.startLoc);\n        node.value = value;\n        endNode(node, tokenizer.currentOffset(), tokenizer.currentPosition());\n        return node;\n    }\n    function parseList(tokenizer, index) {\n        const context = tokenizer.context();\n        const { lastOffset: offset, lastStartLoc: loc } = context; // get brace left loc\n        const node = startNode(5 /* NodeTypes.List */, offset, loc);\n        node.index = parseInt(index, 10);\n        tokenizer.nextToken(); // skip brach right\n        endNode(node, tokenizer.currentOffset(), tokenizer.currentPosition());\n        return node;\n    }\n    function parseNamed(tokenizer, key, modulo) {\n        const context = tokenizer.context();\n        const { lastOffset: offset, lastStartLoc: loc } = context; // get brace left loc\n        const node = startNode(4 /* NodeTypes.Named */, offset, loc);\n        node.key = key;\n        if (modulo === true) {\n            node.modulo = true;\n        }\n        tokenizer.nextToken(); // skip brach right\n        endNode(node, tokenizer.currentOffset(), tokenizer.currentPosition());\n        return node;\n    }\n    function parseLiteral(tokenizer, value) {\n        const context = tokenizer.context();\n        const { lastOffset: offset, lastStartLoc: loc } = context; // get brace left loc\n        const node = startNode(9 /* NodeTypes.Literal */, offset, loc);\n        node.value = value.replace(KNOWN_ESCAPES, fromEscapeSequence);\n        tokenizer.nextToken(); // skip brach right\n        endNode(node, tokenizer.currentOffset(), tokenizer.currentPosition());\n        return node;\n    }\n    function parseLinkedModifier(tokenizer) {\n        const token = tokenizer.nextToken();\n        const context = tokenizer.context();\n        const { lastOffset: offset, lastStartLoc: loc } = context; // get linked dot loc\n        const node = startNode(8 /* NodeTypes.LinkedModifier */, offset, loc);\n        if (token.type !== 12 /* TokenTypes.LinkedModifier */) {\n            // empty modifier\n            emitError(tokenizer, CompileErrorCodes.UNEXPECTED_EMPTY_LINKED_MODIFIER, context.lastStartLoc, 0);\n            node.value = '';\n            endNode(node, offset, loc);\n            return {\n                nextConsumeToken: token,\n                node\n            };\n        }\n        // check token\n        if (token.value == null) {\n            emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));\n        }\n        node.value = token.value || '';\n        endNode(node, tokenizer.currentOffset(), tokenizer.currentPosition());\n        return {\n            node\n        };\n    }\n    function parseLinkedKey(tokenizer, value) {\n        const context = tokenizer.context();\n        const node = startNode(7 /* NodeTypes.LinkedKey */, context.offset, context.startLoc);\n        node.value = value;\n        endNode(node, tokenizer.currentOffset(), tokenizer.currentPosition());\n        return node;\n    }\n    function parseLinked(tokenizer) {\n        const context = tokenizer.context();\n        const linkedNode = startNode(6 /* NodeTypes.Linked */, context.offset, context.startLoc);\n        let token = tokenizer.nextToken();\n        if (token.type === 9 /* TokenTypes.LinkedDot */) {\n            const parsed = parseLinkedModifier(tokenizer);\n            linkedNode.modifier = parsed.node;\n            token = parsed.nextConsumeToken || tokenizer.nextToken();\n        }\n        // asset check token\n        if (token.type !== 10 /* TokenTypes.LinkedDelimiter */) {\n            emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));\n        }\n        token = tokenizer.nextToken();\n        // skip brace left\n        if (token.type === 2 /* TokenTypes.BraceLeft */) {\n            token = tokenizer.nextToken();\n        }\n        switch (token.type) {\n            case 11 /* TokenTypes.LinkedKey */:\n                if (token.value == null) {\n                    emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));\n                }\n                linkedNode.key = parseLinkedKey(tokenizer, token.value || '');\n                break;\n            case 5 /* TokenTypes.Named */:\n                if (token.value == null) {\n                    emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));\n                }\n                linkedNode.key = parseNamed(tokenizer, token.value || '');\n                break;\n            case 6 /* TokenTypes.List */:\n                if (token.value == null) {\n                    emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));\n                }\n                linkedNode.key = parseList(tokenizer, token.value || '');\n                break;\n            case 7 /* TokenTypes.Literal */:\n                if (token.value == null) {\n                    emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));\n                }\n                linkedNode.key = parseLiteral(tokenizer, token.value || '');\n                break;\n            default: {\n                // empty key\n                emitError(tokenizer, CompileErrorCodes.UNEXPECTED_EMPTY_LINKED_KEY, context.lastStartLoc, 0);\n                const nextContext = tokenizer.context();\n                const emptyLinkedKeyNode = startNode(7 /* NodeTypes.LinkedKey */, nextContext.offset, nextContext.startLoc);\n                emptyLinkedKeyNode.value = '';\n                endNode(emptyLinkedKeyNode, nextContext.offset, nextContext.startLoc);\n                linkedNode.key = emptyLinkedKeyNode;\n                endNode(linkedNode, nextContext.offset, nextContext.startLoc);\n                return {\n                    nextConsumeToken: token,\n                    node: linkedNode\n                };\n            }\n        }\n        endNode(linkedNode, tokenizer.currentOffset(), tokenizer.currentPosition());\n        return {\n            node: linkedNode\n        };\n    }\n    function parseMessage(tokenizer) {\n        const context = tokenizer.context();\n        const startOffset = context.currentType === 1 /* TokenTypes.Pipe */\n            ? tokenizer.currentOffset()\n            : context.offset;\n        const startLoc = context.currentType === 1 /* TokenTypes.Pipe */\n            ? context.endLoc\n            : context.startLoc;\n        const node = startNode(2 /* NodeTypes.Message */, startOffset, startLoc);\n        node.items = [];\n        let nextToken = null;\n        let modulo = null;\n        do {\n            const token = nextToken || tokenizer.nextToken();\n            nextToken = null;\n            switch (token.type) {\n                case 0 /* TokenTypes.Text */:\n                    if (token.value == null) {\n                        emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));\n                    }\n                    node.items.push(parseText(tokenizer, token.value || ''));\n                    break;\n                case 6 /* TokenTypes.List */:\n                    if (token.value == null) {\n                        emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));\n                    }\n                    node.items.push(parseList(tokenizer, token.value || ''));\n                    break;\n                case 4 /* TokenTypes.Modulo */:\n                    modulo = true;\n                    break;\n                case 5 /* TokenTypes.Named */:\n                    if (token.value == null) {\n                        emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));\n                    }\n                    node.items.push(parseNamed(tokenizer, token.value || '', !!modulo));\n                    if (modulo) {\n                        emitWarn(tokenizer, CompileWarnCodes.USE_MODULO_SYNTAX, context.lastStartLoc, 0, getTokenCaption(token));\n                        modulo = null;\n                    }\n                    break;\n                case 7 /* TokenTypes.Literal */:\n                    if (token.value == null) {\n                        emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, getTokenCaption(token));\n                    }\n                    node.items.push(parseLiteral(tokenizer, token.value || ''));\n                    break;\n                case 8 /* TokenTypes.LinkedAlias */: {\n                    const parsed = parseLinked(tokenizer);\n                    node.items.push(parsed.node);\n                    nextToken = parsed.nextConsumeToken || null;\n                    break;\n                }\n            }\n        } while (context.currentType !== 14 /* TokenTypes.EOF */ &&\n            context.currentType !== 1 /* TokenTypes.Pipe */);\n        // adjust message node loc\n        const endOffset = context.currentType === 1 /* TokenTypes.Pipe */\n            ? context.lastOffset\n            : tokenizer.currentOffset();\n        const endLoc = context.currentType === 1 /* TokenTypes.Pipe */\n            ? context.lastEndLoc\n            : tokenizer.currentPosition();\n        endNode(node, endOffset, endLoc);\n        return node;\n    }\n    function parsePlural(tokenizer, offset, loc, msgNode) {\n        const context = tokenizer.context();\n        let hasEmptyMessage = msgNode.items.length === 0;\n        const node = startNode(1 /* NodeTypes.Plural */, offset, loc);\n        node.cases = [];\n        node.cases.push(msgNode);\n        do {\n            const msg = parseMessage(tokenizer);\n            if (!hasEmptyMessage) {\n                hasEmptyMessage = msg.items.length === 0;\n            }\n            node.cases.push(msg);\n        } while (context.currentType !== 14 /* TokenTypes.EOF */);\n        if (hasEmptyMessage) {\n            emitError(tokenizer, CompileErrorCodes.MUST_HAVE_MESSAGES_IN_PLURAL, loc, 0);\n        }\n        endNode(node, tokenizer.currentOffset(), tokenizer.currentPosition());\n        return node;\n    }\n    function parseResource(tokenizer) {\n        const context = tokenizer.context();\n        const { offset, startLoc } = context;\n        const msgNode = parseMessage(tokenizer);\n        if (context.currentType === 14 /* TokenTypes.EOF */) {\n            return msgNode;\n        }\n        else {\n            return parsePlural(tokenizer, offset, startLoc, msgNode);\n        }\n    }\n    function parse(source) {\n        const tokenizer = createTokenizer(source, assign({}, options));\n        const context = tokenizer.context();\n        const node = startNode(0 /* NodeTypes.Resource */, context.offset, context.startLoc);\n        if (location && node.loc) {\n            node.loc.source = source;\n        }\n        node.body = parseResource(tokenizer);\n        if (options.onCacheKey) {\n            node.cacheKey = options.onCacheKey(source);\n        }\n        // assert whether achieved to EOF\n        if (context.currentType !== 14 /* TokenTypes.EOF */) {\n            emitError(tokenizer, CompileErrorCodes.UNEXPECTED_LEXICAL_ANALYSIS, context.lastStartLoc, 0, source[context.offset] || '');\n        }\n        endNode(node, tokenizer.currentOffset(), tokenizer.currentPosition());\n        return node;\n    }\n    return { parse };\n}\nfunction getTokenCaption(token) {\n    if (token.type === 14 /* TokenTypes.EOF */) {\n        return 'EOF';\n    }\n    const name = (token.value || '').replace(/\\r?\\n/gu, '\\\\n');\n    return name.length > 10 ? name.slice(0, 9) + '…' : name;\n}\n\nfunction createTransformer(ast, options = {} // eslint-disable-line\n) {\n    const _context = {\n        ast,\n        helpers: new Set()\n    };\n    const context = () => _context;\n    const helper = (name) => {\n        _context.helpers.add(name);\n        return name;\n    };\n    return { context, helper };\n}\nfunction traverseNodes(nodes, transformer) {\n    for (let i = 0; i < nodes.length; i++) {\n        traverseNode(nodes[i], transformer);\n    }\n}\nfunction traverseNode(node, transformer) {\n    // TODO: if we need pre-hook of transform, should be implemented to here\n    switch (node.type) {\n        case 1 /* NodeTypes.Plural */:\n            traverseNodes(node.cases, transformer);\n            transformer.helper(\"plural\" /* HelperNameMap.PLURAL */);\n            break;\n        case 2 /* NodeTypes.Message */:\n            traverseNodes(node.items, transformer);\n            break;\n        case 6 /* NodeTypes.Linked */: {\n            const linked = node;\n            traverseNode(linked.key, transformer);\n            transformer.helper(\"linked\" /* HelperNameMap.LINKED */);\n            transformer.helper(\"type\" /* HelperNameMap.TYPE */);\n            break;\n        }\n        case 5 /* NodeTypes.List */:\n            transformer.helper(\"interpolate\" /* HelperNameMap.INTERPOLATE */);\n            transformer.helper(\"list\" /* HelperNameMap.LIST */);\n            break;\n        case 4 /* NodeTypes.Named */:\n            transformer.helper(\"interpolate\" /* HelperNameMap.INTERPOLATE */);\n            transformer.helper(\"named\" /* HelperNameMap.NAMED */);\n            break;\n    }\n    // TODO: if we need post-hook of transform, should be implemented to here\n}\n// transform AST\nfunction transform(ast, options = {} // eslint-disable-line\n) {\n    const transformer = createTransformer(ast);\n    transformer.helper(\"normalize\" /* HelperNameMap.NORMALIZE */);\n    // traverse\n    ast.body && traverseNode(ast.body, transformer);\n    // set meta information\n    const context = transformer.context();\n    ast.helpers = Array.from(context.helpers);\n}\n\nfunction optimize(ast) {\n    const body = ast.body;\n    if (body.type === 2 /* NodeTypes.Message */) {\n        optimizeMessageNode(body);\n    }\n    else {\n        body.cases.forEach(c => optimizeMessageNode(c));\n    }\n    return ast;\n}\nfunction optimizeMessageNode(message) {\n    if (message.items.length === 1) {\n        const item = message.items[0];\n        if (item.type === 3 /* NodeTypes.Text */ || item.type === 9 /* NodeTypes.Literal */) {\n            message.static = item.value;\n            delete item.value; // optimization for size\n        }\n    }\n    else {\n        const values = [];\n        for (let i = 0; i < message.items.length; i++) {\n            const item = message.items[i];\n            if (!(item.type === 3 /* NodeTypes.Text */ || item.type === 9 /* NodeTypes.Literal */)) {\n                break;\n            }\n            if (item.value == null) {\n                break;\n            }\n            values.push(item.value);\n        }\n        if (values.length === message.items.length) {\n            message.static = join(values);\n            for (let i = 0; i < message.items.length; i++) {\n                const item = message.items[i];\n                if (item.type === 3 /* NodeTypes.Text */ || item.type === 9 /* NodeTypes.Literal */) {\n                    delete item.value; // optimization for size\n                }\n            }\n        }\n    }\n}\n\nconst ERROR_DOMAIN$1 = 'minifier';\n/* eslint-disable @typescript-eslint/no-explicit-any */\nfunction minify(node) {\n    node.t = node.type;\n    switch (node.type) {\n        case 0 /* NodeTypes.Resource */: {\n            const resource = node;\n            minify(resource.body);\n            resource.b = resource.body;\n            delete resource.body;\n            break;\n        }\n        case 1 /* NodeTypes.Plural */: {\n            const plural = node;\n            const cases = plural.cases;\n            for (let i = 0; i < cases.length; i++) {\n                minify(cases[i]);\n            }\n            plural.c = cases;\n            delete plural.cases;\n            break;\n        }\n        case 2 /* NodeTypes.Message */: {\n            const message = node;\n            const items = message.items;\n            for (let i = 0; i < items.length; i++) {\n                minify(items[i]);\n            }\n            message.i = items;\n            delete message.items;\n            if (message.static) {\n                message.s = message.static;\n                delete message.static;\n            }\n            break;\n        }\n        case 3 /* NodeTypes.Text */:\n        case 9 /* NodeTypes.Literal */:\n        case 8 /* NodeTypes.LinkedModifier */:\n        case 7 /* NodeTypes.LinkedKey */: {\n            const valueNode = node;\n            if (valueNode.value) {\n                valueNode.v = valueNode.value;\n                delete valueNode.value;\n            }\n            break;\n        }\n        case 6 /* NodeTypes.Linked */: {\n            const linked = node;\n            minify(linked.key);\n            linked.k = linked.key;\n            delete linked.key;\n            if (linked.modifier) {\n                minify(linked.modifier);\n                linked.m = linked.modifier;\n                delete linked.modifier;\n            }\n            break;\n        }\n        case 5 /* NodeTypes.List */: {\n            const list = node;\n            list.i = list.index;\n            delete list.index;\n            break;\n        }\n        case 4 /* NodeTypes.Named */: {\n            const named = node;\n            named.k = named.key;\n            delete named.key;\n            break;\n        }\n        default:\n            {\n                throw createCompileError(CompileErrorCodes.UNHANDLED_MINIFIER_NODE_TYPE, null, {\n                    domain: ERROR_DOMAIN$1,\n                    args: [node.type]\n                });\n            }\n    }\n    delete node.type;\n}\n/* eslint-enable @typescript-eslint/no-explicit-any */\n\n// eslint-disable-next-line @typescript-eslint/triple-slash-reference\n/// <reference types=\"source-map-js\" />\nconst ERROR_DOMAIN = 'parser';\nfunction createCodeGenerator(ast, options) {\n    const { sourceMap, filename, breakLineCode, needIndent: _needIndent } = options;\n    const location = options.location !== false;\n    const _context = {\n        filename,\n        code: '',\n        column: 1,\n        line: 1,\n        offset: 0,\n        map: undefined,\n        breakLineCode,\n        needIndent: _needIndent,\n        indentLevel: 0\n    };\n    if (location && ast.loc) {\n        _context.source = ast.loc.source;\n    }\n    const context = () => _context;\n    function push(code, node) {\n        _context.code += code;\n    }\n    function _newline(n, withBreakLine = true) {\n        const _breakLineCode = withBreakLine ? breakLineCode : '';\n        push(_needIndent ? _breakLineCode + `  `.repeat(n) : _breakLineCode);\n    }\n    function indent(withNewLine = true) {\n        const level = ++_context.indentLevel;\n        withNewLine && _newline(level);\n    }\n    function deindent(withNewLine = true) {\n        const level = --_context.indentLevel;\n        withNewLine && _newline(level);\n    }\n    function newline() {\n        _newline(_context.indentLevel);\n    }\n    const helper = (key) => `_${key}`;\n    const needIndent = () => _context.needIndent;\n    return {\n        context,\n        push,\n        indent,\n        deindent,\n        newline,\n        helper,\n        needIndent\n    };\n}\nfunction generateLinkedNode(generator, node) {\n    const { helper } = generator;\n    generator.push(`${helper(\"linked\" /* HelperNameMap.LINKED */)}(`);\n    generateNode(generator, node.key);\n    if (node.modifier) {\n        generator.push(`, `);\n        generateNode(generator, node.modifier);\n        generator.push(`, _type`);\n    }\n    else {\n        generator.push(`, undefined, _type`);\n    }\n    generator.push(`)`);\n}\nfunction generateMessageNode(generator, node) {\n    const { helper, needIndent } = generator;\n    generator.push(`${helper(\"normalize\" /* HelperNameMap.NORMALIZE */)}([`);\n    generator.indent(needIndent());\n    const length = node.items.length;\n    for (let i = 0; i < length; i++) {\n        generateNode(generator, node.items[i]);\n        if (i === length - 1) {\n            break;\n        }\n        generator.push(', ');\n    }\n    generator.deindent(needIndent());\n    generator.push('])');\n}\nfunction generatePluralNode(generator, node) {\n    const { helper, needIndent } = generator;\n    if (node.cases.length > 1) {\n        generator.push(`${helper(\"plural\" /* HelperNameMap.PLURAL */)}([`);\n        generator.indent(needIndent());\n        const length = node.cases.length;\n        for (let i = 0; i < length; i++) {\n            generateNode(generator, node.cases[i]);\n            if (i === length - 1) {\n                break;\n            }\n            generator.push(', ');\n        }\n        generator.deindent(needIndent());\n        generator.push(`])`);\n    }\n}\nfunction generateResource(generator, node) {\n    if (node.body) {\n        generateNode(generator, node.body);\n    }\n    else {\n        generator.push('null');\n    }\n}\nfunction generateNode(generator, node) {\n    const { helper } = generator;\n    switch (node.type) {\n        case 0 /* NodeTypes.Resource */:\n            generateResource(generator, node);\n            break;\n        case 1 /* NodeTypes.Plural */:\n            generatePluralNode(generator, node);\n            break;\n        case 2 /* NodeTypes.Message */:\n            generateMessageNode(generator, node);\n            break;\n        case 6 /* NodeTypes.Linked */:\n            generateLinkedNode(generator, node);\n            break;\n        case 8 /* NodeTypes.LinkedModifier */:\n            generator.push(JSON.stringify(node.value), node);\n            break;\n        case 7 /* NodeTypes.LinkedKey */:\n            generator.push(JSON.stringify(node.value), node);\n            break;\n        case 5 /* NodeTypes.List */:\n            generator.push(`${helper(\"interpolate\" /* HelperNameMap.INTERPOLATE */)}(${helper(\"list\" /* HelperNameMap.LIST */)}(${node.index}))`, node);\n            break;\n        case 4 /* NodeTypes.Named */:\n            generator.push(`${helper(\"interpolate\" /* HelperNameMap.INTERPOLATE */)}(${helper(\"named\" /* HelperNameMap.NAMED */)}(${JSON.stringify(node.key)}))`, node);\n            break;\n        case 9 /* NodeTypes.Literal */:\n            generator.push(JSON.stringify(node.value), node);\n            break;\n        case 3 /* NodeTypes.Text */:\n            generator.push(JSON.stringify(node.value), node);\n            break;\n        default:\n            {\n                throw createCompileError(CompileErrorCodes.UNHANDLED_CODEGEN_NODE_TYPE, null, {\n                    domain: ERROR_DOMAIN,\n                    args: [node.type]\n                });\n            }\n    }\n}\n// generate code from AST\nconst generate = (ast, options = {} // eslint-disable-line\n) => {\n    const mode = isString(options.mode) ? options.mode : 'normal';\n    const filename = isString(options.filename)\n        ? options.filename\n        : 'message.intl';\n    const sourceMap = !!options.sourceMap;\n    // prettier-ignore\n    const breakLineCode = options.breakLineCode != null\n        ? options.breakLineCode\n        : mode === 'arrow'\n            ? ';'\n            : '\\n';\n    const needIndent = options.needIndent ? options.needIndent : mode !== 'arrow';\n    const helpers = ast.helpers || [];\n    const generator = createCodeGenerator(ast, {\n        mode,\n        filename,\n        sourceMap,\n        breakLineCode,\n        needIndent\n    });\n    generator.push(mode === 'normal' ? `function __msg__ (ctx) {` : `(ctx) => {`);\n    generator.indent(needIndent);\n    if (helpers.length > 0) {\n        generator.push(`const { ${join(helpers.map(s => `${s}: _${s}`), ', ')} } = ctx`);\n        generator.newline();\n    }\n    generator.push(`return `);\n    generateNode(generator, ast);\n    generator.deindent(needIndent);\n    generator.push(`}`);\n    delete ast.helpers;\n    const { code, map } = generator.context();\n    return {\n        ast,\n        code,\n        map: map ? map.toJSON() : undefined // eslint-disable-line @typescript-eslint/no-explicit-any\n    };\n};\n\nfunction baseCompile(source, options = {}) {\n    const assignedOptions = assign({}, options);\n    const jit = !!assignedOptions.jit;\n    const enalbeMinify = !!assignedOptions.minify;\n    const enambeOptimize = assignedOptions.optimize == null ? true : assignedOptions.optimize;\n    // parse source codes\n    const parser = createParser(assignedOptions);\n    const ast = parser.parse(source);\n    if (!jit) {\n        // transform ASTs\n        transform(ast, assignedOptions);\n        // generate javascript codes\n        return generate(ast, assignedOptions);\n    }\n    else {\n        // optimize ASTs\n        enambeOptimize && optimize(ast);\n        // minimize ASTs\n        enalbeMinify && minify(ast);\n        // In JIT mode, no ast transform, no code generation.\n        return { ast, code: '' };\n    }\n}\n\nexport { CompileErrorCodes, CompileWarnCodes, ERROR_DOMAIN$2 as ERROR_DOMAIN, LOCATION_STUB, baseCompile, createCompileError, createCompileWarn, createLocation, createParser, createPosition, defaultOnError, detectHtmlTag, errorMessages, warnMessages };\n","/*!\n  * core-base v9.13.1\n  * (c) 2024 kazuya kawaguchi\n  * Released under the MIT License.\n  */\nimport { getGlobalThis, isObject, isFunction, isString, isNumber, isPlainObject, assign, join, toDisplayString, isArray, incrementer, format as format$1, isPromise, isBoolean, warn, isRegExp, warnOnce, escapeHtml, inBrowser, mark, measure, isEmptyObject, generateCodeFrame, generateFormatCacheKey, isDate } from '@intlify/shared';\nimport { CompileWarnCodes, CompileErrorCodes, createCompileError, detectHtmlTag, defaultOnError, baseCompile as baseCompile$1 } from '@intlify/message-compiler';\nexport { CompileErrorCodes, createCompileError } from '@intlify/message-compiler';\n\n/**\n * This is only called in esm-bundler builds.\n * istanbul-ignore-next\n */\nfunction initFeatureFlags() {\n    if (typeof __INTLIFY_PROD_DEVTOOLS__ !== 'boolean') {\n        getGlobalThis().__INTLIFY_PROD_DEVTOOLS__ = false;\n    }\n    if (typeof __INTLIFY_JIT_COMPILATION__ !== 'boolean') {\n        getGlobalThis().__INTLIFY_JIT_COMPILATION__ = false;\n    }\n    if (typeof __INTLIFY_DROP_MESSAGE_COMPILER__ !== 'boolean') {\n        getGlobalThis().__INTLIFY_DROP_MESSAGE_COMPILER__ = false;\n    }\n}\n\nconst pathStateMachine =  [];\npathStateMachine[0 /* States.BEFORE_PATH */] = {\n    [\"w\" /* PathCharTypes.WORKSPACE */]: [0 /* States.BEFORE_PATH */],\n    [\"i\" /* PathCharTypes.IDENT */]: [3 /* States.IN_IDENT */, 0 /* Actions.APPEND */],\n    [\"[\" /* PathCharTypes.LEFT_BRACKET */]: [4 /* States.IN_SUB_PATH */],\n    [\"o\" /* PathCharTypes.END_OF_FAIL */]: [7 /* States.AFTER_PATH */]\n};\npathStateMachine[1 /* States.IN_PATH */] = {\n    [\"w\" /* PathCharTypes.WORKSPACE */]: [1 /* States.IN_PATH */],\n    [\".\" /* PathCharTypes.DOT */]: [2 /* States.BEFORE_IDENT */],\n    [\"[\" /* PathCharTypes.LEFT_BRACKET */]: [4 /* States.IN_SUB_PATH */],\n    [\"o\" /* PathCharTypes.END_OF_FAIL */]: [7 /* States.AFTER_PATH */]\n};\npathStateMachine[2 /* States.BEFORE_IDENT */] = {\n    [\"w\" /* PathCharTypes.WORKSPACE */]: [2 /* States.BEFORE_IDENT */],\n    [\"i\" /* PathCharTypes.IDENT */]: [3 /* States.IN_IDENT */, 0 /* Actions.APPEND */],\n    [\"0\" /* PathCharTypes.ZERO */]: [3 /* States.IN_IDENT */, 0 /* Actions.APPEND */]\n};\npathStateMachine[3 /* States.IN_IDENT */] = {\n    [\"i\" /* PathCharTypes.IDENT */]: [3 /* States.IN_IDENT */, 0 /* Actions.APPEND */],\n    [\"0\" /* PathCharTypes.ZERO */]: [3 /* States.IN_IDENT */, 0 /* Actions.APPEND */],\n    [\"w\" /* PathCharTypes.WORKSPACE */]: [1 /* States.IN_PATH */, 1 /* Actions.PUSH */],\n    [\".\" /* PathCharTypes.DOT */]: [2 /* States.BEFORE_IDENT */, 1 /* Actions.PUSH */],\n    [\"[\" /* PathCharTypes.LEFT_BRACKET */]: [4 /* States.IN_SUB_PATH */, 1 /* Actions.PUSH */],\n    [\"o\" /* PathCharTypes.END_OF_FAIL */]: [7 /* States.AFTER_PATH */, 1 /* Actions.PUSH */]\n};\npathStateMachine[4 /* States.IN_SUB_PATH */] = {\n    [\"'\" /* PathCharTypes.SINGLE_QUOTE */]: [5 /* States.IN_SINGLE_QUOTE */, 0 /* Actions.APPEND */],\n    [\"\\\"\" /* PathCharTypes.DOUBLE_QUOTE */]: [6 /* States.IN_DOUBLE_QUOTE */, 0 /* Actions.APPEND */],\n    [\"[\" /* PathCharTypes.LEFT_BRACKET */]: [\n        4 /* States.IN_SUB_PATH */,\n        2 /* Actions.INC_SUB_PATH_DEPTH */\n    ],\n    [\"]\" /* PathCharTypes.RIGHT_BRACKET */]: [1 /* States.IN_PATH */, 3 /* Actions.PUSH_SUB_PATH */],\n    [\"o\" /* PathCharTypes.END_OF_FAIL */]: 8 /* States.ERROR */,\n    [\"l\" /* PathCharTypes.ELSE */]: [4 /* States.IN_SUB_PATH */, 0 /* Actions.APPEND */]\n};\npathStateMachine[5 /* States.IN_SINGLE_QUOTE */] = {\n    [\"'\" /* PathCharTypes.SINGLE_QUOTE */]: [4 /* States.IN_SUB_PATH */, 0 /* Actions.APPEND */],\n    [\"o\" /* PathCharTypes.END_OF_FAIL */]: 8 /* States.ERROR */,\n    [\"l\" /* PathCharTypes.ELSE */]: [5 /* States.IN_SINGLE_QUOTE */, 0 /* Actions.APPEND */]\n};\npathStateMachine[6 /* States.IN_DOUBLE_QUOTE */] = {\n    [\"\\\"\" /* PathCharTypes.DOUBLE_QUOTE */]: [4 /* States.IN_SUB_PATH */, 0 /* Actions.APPEND */],\n    [\"o\" /* PathCharTypes.END_OF_FAIL */]: 8 /* States.ERROR */,\n    [\"l\" /* PathCharTypes.ELSE */]: [6 /* States.IN_DOUBLE_QUOTE */, 0 /* Actions.APPEND */]\n};\n/**\n * Check if an expression is a literal value.\n */\nconst literalValueRE = /^\\s?(?:true|false|-?[\\d.]+|'[^']*'|\"[^\"]*\")\\s?$/;\nfunction isLiteral(exp) {\n    return literalValueRE.test(exp);\n}\n/**\n * Strip quotes from a string\n */\nfunction stripQuotes(str) {\n    const a = str.charCodeAt(0);\n    const b = str.charCodeAt(str.length - 1);\n    return a === b && (a === 0x22 || a === 0x27) ? str.slice(1, -1) : str;\n}\n/**\n * Determine the type of a character in a keypath.\n */\nfunction getPathCharType(ch) {\n    if (ch === undefined || ch === null) {\n        return \"o\" /* PathCharTypes.END_OF_FAIL */;\n    }\n    const code = ch.charCodeAt(0);\n    switch (code) {\n        case 0x5b: // [\n        case 0x5d: // ]\n        case 0x2e: // .\n        case 0x22: // \"\n        case 0x27: // '\n            return ch;\n        case 0x5f: // _\n        case 0x24: // $\n        case 0x2d: // -\n            return \"i\" /* PathCharTypes.IDENT */;\n        case 0x09: // Tab (HT)\n        case 0x0a: // Newline (LF)\n        case 0x0d: // Return (CR)\n        case 0xa0: // No-break space (NBSP)\n        case 0xfeff: // Byte Order Mark (BOM)\n        case 0x2028: // Line Separator (LS)\n        case 0x2029: // Paragraph Separator (PS)\n            return \"w\" /* PathCharTypes.WORKSPACE */;\n    }\n    return \"i\" /* PathCharTypes.IDENT */;\n}\n/**\n * Format a subPath, return its plain form if it is\n * a literal string or number. Otherwise prepend the\n * dynamic indicator (*).\n */\nfunction formatSubPath(path) {\n    const trimmed = path.trim();\n    // invalid leading 0\n    if (path.charAt(0) === '0' && isNaN(parseInt(path))) {\n        return false;\n    }\n    return isLiteral(trimmed)\n        ? stripQuotes(trimmed)\n        : \"*\" /* PathCharTypes.ASTARISK */ + trimmed;\n}\n/**\n * Parse a string path into an array of segments\n */\nfunction parse(path) {\n    const keys = [];\n    let index = -1;\n    let mode = 0 /* States.BEFORE_PATH */;\n    let subPathDepth = 0;\n    let c;\n    let key; // eslint-disable-line\n    let newChar;\n    let type;\n    let transition;\n    let action;\n    let typeMap;\n    const actions = [];\n    actions[0 /* Actions.APPEND */] = () => {\n        if (key === undefined) {\n            key = newChar;\n        }\n        else {\n            key += newChar;\n        }\n    };\n    actions[1 /* Actions.PUSH */] = () => {\n        if (key !== undefined) {\n            keys.push(key);\n            key = undefined;\n        }\n    };\n    actions[2 /* Actions.INC_SUB_PATH_DEPTH */] = () => {\n        actions[0 /* Actions.APPEND */]();\n        subPathDepth++;\n    };\n    actions[3 /* Actions.PUSH_SUB_PATH */] = () => {\n        if (subPathDepth > 0) {\n            subPathDepth--;\n            mode = 4 /* States.IN_SUB_PATH */;\n            actions[0 /* Actions.APPEND */]();\n        }\n        else {\n            subPathDepth = 0;\n            if (key === undefined) {\n                return false;\n            }\n            key = formatSubPath(key);\n            if (key === false) {\n                return false;\n            }\n            else {\n                actions[1 /* Actions.PUSH */]();\n            }\n        }\n    };\n    function maybeUnescapeQuote() {\n        const nextChar = path[index + 1];\n        if ((mode === 5 /* States.IN_SINGLE_QUOTE */ &&\n            nextChar === \"'\" /* PathCharTypes.SINGLE_QUOTE */) ||\n            (mode === 6 /* States.IN_DOUBLE_QUOTE */ &&\n                nextChar === \"\\\"\" /* PathCharTypes.DOUBLE_QUOTE */)) {\n            index++;\n            newChar = '\\\\' + nextChar;\n            actions[0 /* Actions.APPEND */]();\n            return true;\n        }\n    }\n    while (mode !== null) {\n        index++;\n        c = path[index];\n        if (c === '\\\\' && maybeUnescapeQuote()) {\n            continue;\n        }\n        type = getPathCharType(c);\n        typeMap = pathStateMachine[mode];\n        transition = typeMap[type] || typeMap[\"l\" /* PathCharTypes.ELSE */] || 8 /* States.ERROR */;\n        // check parse error\n        if (transition === 8 /* States.ERROR */) {\n            return;\n        }\n        mode = transition[0];\n        if (transition[1] !== undefined) {\n            action = actions[transition[1]];\n            if (action) {\n                newChar = c;\n                if (action() === false) {\n                    return;\n                }\n            }\n        }\n        // check parse finish\n        if (mode === 7 /* States.AFTER_PATH */) {\n            return keys;\n        }\n    }\n}\n// path token cache\nconst cache = new Map();\n/**\n * key-value message resolver\n *\n * @remarks\n * Resolves messages with the key-value structure. Note that messages with a hierarchical structure such as objects cannot be resolved\n *\n * @param obj - A target object to be resolved with path\n * @param path - A {@link Path | path} to resolve the value of message\n *\n * @returns A resolved {@link PathValue | path value}\n *\n * @VueI18nGeneral\n */\nfunction resolveWithKeyValue(obj, path) {\n    return isObject(obj) ? obj[path] : null;\n}\n/**\n * message resolver\n *\n * @remarks\n * Resolves messages. messages with a hierarchical structure such as objects can be resolved. This resolver is used in VueI18n as default.\n *\n * @param obj - A target object to be resolved with path\n * @param path - A {@link Path | path} to resolve the value of message\n *\n * @returns A resolved {@link PathValue | path value}\n *\n * @VueI18nGeneral\n */\nfunction resolveValue(obj, path) {\n    // check object\n    if (!isObject(obj)) {\n        return null;\n    }\n    // parse path\n    let hit = cache.get(path);\n    if (!hit) {\n        hit = parse(path);\n        if (hit) {\n            cache.set(path, hit);\n        }\n    }\n    // check hit\n    if (!hit) {\n        return null;\n    }\n    // resolve path value\n    const len = hit.length;\n    let last = obj;\n    let i = 0;\n    while (i < len) {\n        const val = last[hit[i]];\n        if (val === undefined) {\n            return null;\n        }\n        if (isFunction(last)) {\n            return null;\n        }\n        last = val;\n        i++;\n    }\n    return last;\n}\n\nconst DEFAULT_MODIFIER = (str) => str;\nconst DEFAULT_MESSAGE = (ctx) => ''; // eslint-disable-line\nconst DEFAULT_MESSAGE_DATA_TYPE = 'text';\nconst DEFAULT_NORMALIZE = (values) => values.length === 0 ? '' : join(values);\nconst DEFAULT_INTERPOLATE = toDisplayString;\nfunction pluralDefault(choice, choicesLength) {\n    choice = Math.abs(choice);\n    if (choicesLength === 2) {\n        // prettier-ignore\n        return choice\n            ? choice > 1\n                ? 1\n                : 0\n            : 1;\n    }\n    return choice ? Math.min(choice, 2) : 0;\n}\nfunction getPluralIndex(options) {\n    // prettier-ignore\n    const index = isNumber(options.pluralIndex)\n        ? options.pluralIndex\n        : -1;\n    // prettier-ignore\n    return options.named && (isNumber(options.named.count) || isNumber(options.named.n))\n        ? isNumber(options.named.count)\n            ? options.named.count\n            : isNumber(options.named.n)\n                ? options.named.n\n                : index\n        : index;\n}\nfunction normalizeNamed(pluralIndex, props) {\n    if (!props.count) {\n        props.count = pluralIndex;\n    }\n    if (!props.n) {\n        props.n = pluralIndex;\n    }\n}\nfunction createMessageContext(options = {}) {\n    const locale = options.locale;\n    const pluralIndex = getPluralIndex(options);\n    const pluralRule = isObject(options.pluralRules) &&\n        isString(locale) &&\n        isFunction(options.pluralRules[locale])\n        ? options.pluralRules[locale]\n        : pluralDefault;\n    const orgPluralRule = isObject(options.pluralRules) &&\n        isString(locale) &&\n        isFunction(options.pluralRules[locale])\n        ? pluralDefault\n        : undefined;\n    const plural = (messages) => {\n        return messages[pluralRule(pluralIndex, messages.length, orgPluralRule)];\n    };\n    const _list = options.list || [];\n    const list = (index) => _list[index];\n    // eslint-disable-next-line @typescript-eslint/no-explicit-any\n    const _named = options.named || {};\n    isNumber(options.pluralIndex) && normalizeNamed(pluralIndex, _named);\n    const named = (key) => _named[key];\n    function message(key) {\n        // prettier-ignore\n        const msg = isFunction(options.messages)\n            ? options.messages(key)\n            : isObject(options.messages)\n                ? options.messages[key]\n                : false;\n        return !msg\n            ? options.parent\n                ? options.parent.message(key) // resolve from parent messages\n                : DEFAULT_MESSAGE\n            : msg;\n    }\n    const _modifier = (name) => options.modifiers\n        ? options.modifiers[name]\n        : DEFAULT_MODIFIER;\n    const normalize = isPlainObject(options.processor) && isFunction(options.processor.normalize)\n        ? options.processor.normalize\n        : DEFAULT_NORMALIZE;\n    const interpolate = isPlainObject(options.processor) &&\n        isFunction(options.processor.interpolate)\n        ? options.processor.interpolate\n        : DEFAULT_INTERPOLATE;\n    const type = isPlainObject(options.processor) && isString(options.processor.type)\n        ? options.processor.type\n        : DEFAULT_MESSAGE_DATA_TYPE;\n    const linked = (key, ...args) => {\n        const [arg1, arg2] = args;\n        let type = 'text';\n        let modifier = '';\n        if (args.length === 1) {\n            if (isObject(arg1)) {\n                modifier = arg1.modifier || modifier;\n                type = arg1.type || type;\n            }\n            else if (isString(arg1)) {\n                modifier = arg1 || modifier;\n            }\n        }\n        else if (args.length === 2) {\n            if (isString(arg1)) {\n                modifier = arg1 || modifier;\n            }\n            if (isString(arg2)) {\n                type = arg2 || type;\n            }\n        }\n        const ret = message(key)(ctx);\n        const msg = \n        // The message in vnode resolved with linked are returned as an array by processor.nomalize\n        type === 'vnode' && isArray(ret) && modifier\n            ? ret[0]\n            : ret;\n        return modifier ? _modifier(modifier)(msg, type) : msg;\n    };\n    const ctx = {\n        [\"list\" /* HelperNameMap.LIST */]: list,\n        [\"named\" /* HelperNameMap.NAMED */]: named,\n        [\"plural\" /* HelperNameMap.PLURAL */]: plural,\n        [\"linked\" /* HelperNameMap.LINKED */]: linked,\n        [\"message\" /* HelperNameMap.MESSAGE */]: message,\n        [\"type\" /* HelperNameMap.TYPE */]: type,\n        [\"interpolate\" /* HelperNameMap.INTERPOLATE */]: interpolate,\n        [\"normalize\" /* HelperNameMap.NORMALIZE */]: normalize,\n        [\"values\" /* HelperNameMap.VALUES */]: assign({}, _list, _named)\n    };\n    return ctx;\n}\n\nlet devtools = null;\nfunction setDevToolsHook(hook) {\n    devtools = hook;\n}\nfunction getDevToolsHook() {\n    return devtools;\n}\nfunction initI18nDevTools(i18n, version, meta) {\n    // TODO: queue if devtools is undefined\n    devtools &&\n        devtools.emit(\"i18n:init\" /* IntlifyDevToolsHooks.I18nInit */, {\n            timestamp: Date.now(),\n            i18n,\n            version,\n            meta\n        });\n}\nconst translateDevTools = /* #__PURE__*/ createDevToolsHook(\"function:translate\" /* IntlifyDevToolsHooks.FunctionTranslate */);\nfunction createDevToolsHook(hook) {\n    return (payloads) => devtools && devtools.emit(hook, payloads);\n}\n\nconst code$1 = CompileWarnCodes.__EXTEND_POINT__;\nconst inc$1 = incrementer(code$1);\nconst CoreWarnCodes = {\n    NOT_FOUND_KEY: code$1, // 2\n    FALLBACK_TO_TRANSLATE: inc$1(), // 3\n    CANNOT_FORMAT_NUMBER: inc$1(), // 4\n    FALLBACK_TO_NUMBER_FORMAT: inc$1(), // 5\n    CANNOT_FORMAT_DATE: inc$1(), // 6\n    FALLBACK_TO_DATE_FORMAT: inc$1(), // 7\n    EXPERIMENTAL_CUSTOM_MESSAGE_COMPILER: inc$1(), // 8\n    __EXTEND_POINT__: inc$1() // 9\n};\n/** @internal */\nconst warnMessages = {\n    [CoreWarnCodes.NOT_FOUND_KEY]: `Not found '{key}' key in '{locale}' locale messages.`,\n    [CoreWarnCodes.FALLBACK_TO_TRANSLATE]: `Fall back to translate '{key}' key with '{target}' locale.`,\n    [CoreWarnCodes.CANNOT_FORMAT_NUMBER]: `Cannot format a number value due to not supported Intl.NumberFormat.`,\n    [CoreWarnCodes.FALLBACK_TO_NUMBER_FORMAT]: `Fall back to number format '{key}' key with '{target}' locale.`,\n    [CoreWarnCodes.CANNOT_FORMAT_DATE]: `Cannot format a date value due to not supported Intl.DateTimeFormat.`,\n    [CoreWarnCodes.FALLBACK_TO_DATE_FORMAT]: `Fall back to datetime format '{key}' key with '{target}' locale.`,\n    [CoreWarnCodes.EXPERIMENTAL_CUSTOM_MESSAGE_COMPILER]: `This project is using Custom Message Compiler, which is an experimental feature. It may receive breaking changes or be removed in the future.`\n};\nfunction getWarnMessage(code, ...args) {\n    return format$1(warnMessages[code], ...args);\n}\n\nconst code = CompileErrorCodes.__EXTEND_POINT__;\nconst inc = incrementer(code);\nconst CoreErrorCodes = {\n    INVALID_ARGUMENT: code, // 17\n    INVALID_DATE_ARGUMENT: inc(), // 18\n    INVALID_ISO_DATE_ARGUMENT: inc(), // 19\n    NOT_SUPPORT_NON_STRING_MESSAGE: inc(), // 20\n    NOT_SUPPORT_LOCALE_PROMISE_VALUE: inc(), // 21\n    NOT_SUPPORT_LOCALE_ASYNC_FUNCTION: inc(), // 22\n    NOT_SUPPORT_LOCALE_TYPE: inc(), // 23\n    __EXTEND_POINT__: inc() // 24\n};\nfunction createCoreError(code) {\n    return createCompileError(code, null, (process.env.NODE_ENV !== 'production') ? { messages: errorMessages } : undefined);\n}\n/** @internal */\nconst errorMessages = {\n    [CoreErrorCodes.INVALID_ARGUMENT]: 'Invalid arguments',\n    [CoreErrorCodes.INVALID_DATE_ARGUMENT]: 'The date provided is an invalid Date object.' +\n        'Make sure your Date represents a valid date.',\n    [CoreErrorCodes.INVALID_ISO_DATE_ARGUMENT]: 'The argument provided is not a valid ISO date string',\n    [CoreErrorCodes.NOT_SUPPORT_NON_STRING_MESSAGE]: 'Not support non-string message',\n    [CoreErrorCodes.NOT_SUPPORT_LOCALE_PROMISE_VALUE]: 'cannot support promise value',\n    [CoreErrorCodes.NOT_SUPPORT_LOCALE_ASYNC_FUNCTION]: 'cannot support async function',\n    [CoreErrorCodes.NOT_SUPPORT_LOCALE_TYPE]: 'cannot support locale type'\n};\n\n/** @internal */\nfunction getLocale(context, options) {\n    return options.locale != null\n        ? resolveLocale(options.locale)\n        : resolveLocale(context.locale);\n}\nlet _resolveLocale;\n/** @internal */\nfunction resolveLocale(locale) {\n    if (isString(locale)) {\n        return locale;\n    }\n    else {\n        if (isFunction(locale)) {\n            if (locale.resolvedOnce && _resolveLocale != null) {\n                return _resolveLocale;\n            }\n            else if (locale.constructor.name === 'Function') {\n                const resolve = locale();\n                if (isPromise(resolve)) {\n                    throw createCoreError(CoreErrorCodes.NOT_SUPPORT_LOCALE_PROMISE_VALUE);\n                }\n                return (_resolveLocale = resolve);\n            }\n            else {\n                throw createCoreError(CoreErrorCodes.NOT_SUPPORT_LOCALE_ASYNC_FUNCTION);\n            }\n        }\n        else {\n            throw createCoreError(CoreErrorCodes.NOT_SUPPORT_LOCALE_TYPE);\n        }\n    }\n}\n/**\n * Fallback with simple implemenation\n *\n * @remarks\n * A fallback locale function implemented with a simple fallback algorithm.\n *\n * Basically, it returns the value as specified in the `fallbackLocale` props, and is processed with the fallback inside intlify.\n *\n * @param ctx - A {@link CoreContext | context}\n * @param fallback - A {@link FallbackLocale | fallback locale}\n * @param start - A starting {@link Locale | locale}\n *\n * @returns Fallback locales\n *\n * @VueI18nGeneral\n */\nfunction fallbackWithSimple(ctx, fallback, start // eslint-disable-line @typescript-eslint/no-unused-vars\n) {\n    // prettier-ignore\n    return [...new Set([\n            start,\n            ...(isArray(fallback)\n                ? fallback\n                : isObject(fallback)\n                    ? Object.keys(fallback)\n                    : isString(fallback)\n                        ? [fallback]\n                        : [start])\n        ])];\n}\n/**\n * Fallback with locale chain\n *\n * @remarks\n * A fallback locale function implemented with a fallback chain algorithm. It's used in VueI18n as default.\n *\n * @param ctx - A {@link CoreContext | context}\n * @param fallback - A {@link FallbackLocale | fallback locale}\n * @param start - A starting {@link Locale | locale}\n *\n * @returns Fallback locales\n *\n * @VueI18nSee [Fallbacking](../guide/essentials/fallback)\n *\n * @VueI18nGeneral\n */\nfunction fallbackWithLocaleChain(ctx, fallback, start) {\n    const startLocale = isString(start) ? start : DEFAULT_LOCALE;\n    const context = ctx;\n    if (!context.__localeChainCache) {\n        context.__localeChainCache = new Map();\n    }\n    let chain = context.__localeChainCache.get(startLocale);\n    if (!chain) {\n        chain = [];\n        // first block defined by start\n        let block = [start];\n        // while any intervening block found\n        while (isArray(block)) {\n            block = appendBlockToChain(chain, block, fallback);\n        }\n        // prettier-ignore\n        // last block defined by default\n        const defaults = isArray(fallback) || !isPlainObject(fallback)\n            ? fallback\n            : fallback['default']\n                ? fallback['default']\n                : null;\n        // convert defaults to array\n        block = isString(defaults) ? [defaults] : defaults;\n        if (isArray(block)) {\n            appendBlockToChain(chain, block, false);\n        }\n        context.__localeChainCache.set(startLocale, chain);\n    }\n    return chain;\n}\nfunction appendBlockToChain(chain, block, blocks) {\n    let follow = true;\n    for (let i = 0; i < block.length && isBoolean(follow); i++) {\n        const locale = block[i];\n        if (isString(locale)) {\n            follow = appendLocaleToChain(chain, block[i], blocks);\n        }\n    }\n    return follow;\n}\nfunction appendLocaleToChain(chain, locale, blocks) {\n    let follow;\n    const tokens = locale.split('-');\n    do {\n        const target = tokens.join('-');\n        follow = appendItemToChain(chain, target, blocks);\n        tokens.splice(-1, 1);\n    } while (tokens.length && follow === true);\n    return follow;\n}\nfunction appendItemToChain(chain, target, blocks) {\n    let follow = false;\n    if (!chain.includes(target)) {\n        follow = true;\n        if (target) {\n            follow = target[target.length - 1] !== '!';\n            const locale = target.replace(/!/g, '');\n            chain.push(locale);\n            if ((isArray(blocks) || isPlainObject(blocks)) &&\n                blocks[locale] // eslint-disable-line @typescript-eslint/no-explicit-any\n            ) {\n                // eslint-disable-next-line @typescript-eslint/no-explicit-any\n                follow = blocks[locale];\n            }\n        }\n    }\n    return follow;\n}\n\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/**\n * Intlify core-base version\n * @internal\n */\nconst VERSION = '9.13.1';\nconst NOT_REOSLVED = -1;\nconst DEFAULT_LOCALE = 'en-US';\nconst MISSING_RESOLVE_VALUE = '';\nconst capitalize = (str) => `${str.charAt(0).toLocaleUpperCase()}${str.substr(1)}`;\nfunction getDefaultLinkedModifiers() {\n    return {\n        upper: (val, type) => {\n            // prettier-ignore\n            return type === 'text' && isString(val)\n                ? val.toUpperCase()\n                : type === 'vnode' && isObject(val) && '__v_isVNode' in val\n                    ? val.children.toUpperCase()\n                    : val;\n        },\n        lower: (val, type) => {\n            // prettier-ignore\n            return type === 'text' && isString(val)\n                ? val.toLowerCase()\n                : type === 'vnode' && isObject(val) && '__v_isVNode' in val\n                    ? val.children.toLowerCase()\n                    : val;\n        },\n        capitalize: (val, type) => {\n            // prettier-ignore\n            return (type === 'text' && isString(val)\n                ? capitalize(val)\n                : type === 'vnode' && isObject(val) && '__v_isVNode' in val\n                    ? capitalize(val.children)\n                    : val);\n        }\n    };\n}\nlet _compiler;\nfunction registerMessageCompiler(compiler) {\n    _compiler = compiler;\n}\nlet _resolver;\n/**\n * Register the message resolver\n *\n * @param resolver - A {@link MessageResolver} function\n *\n * @VueI18nGeneral\n */\nfunction registerMessageResolver(resolver) {\n    _resolver = resolver;\n}\nlet _fallbacker;\n/**\n * Register the locale fallbacker\n *\n * @param fallbacker - A {@link LocaleFallbacker} function\n *\n * @VueI18nGeneral\n */\nfunction registerLocaleFallbacker(fallbacker) {\n    _fallbacker = fallbacker;\n}\n// Additional Meta for Intlify DevTools\nlet _additionalMeta =  null;\n/* #__NO_SIDE_EFFECTS__ */\nconst setAdditionalMeta = (meta) => {\n    _additionalMeta = meta;\n};\n/* #__NO_SIDE_EFFECTS__ */\nconst getAdditionalMeta = () => _additionalMeta;\nlet _fallbackContext = null;\nconst setFallbackContext = (context) => {\n    _fallbackContext = context;\n};\nconst getFallbackContext = () => _fallbackContext;\n// ID for CoreContext\nlet _cid = 0;\nfunction createCoreContext(options = {}) {\n    // setup options\n    const onWarn = isFunction(options.onWarn) ? options.onWarn : warn;\n    const version = isString(options.version) ? options.version : VERSION;\n    const locale = isString(options.locale) || isFunction(options.locale)\n        ? options.locale\n        : DEFAULT_LOCALE;\n    const _locale = isFunction(locale) ? DEFAULT_LOCALE : locale;\n    const fallbackLocale = isArray(options.fallbackLocale) ||\n        isPlainObject(options.fallbackLocale) ||\n        isString(options.fallbackLocale) ||\n        options.fallbackLocale === false\n        ? options.fallbackLocale\n        : _locale;\n    const messages = isPlainObject(options.messages)\n        ? options.messages\n        : { [_locale]: {} };\n    const datetimeFormats = isPlainObject(options.datetimeFormats)\n            ? options.datetimeFormats\n            : { [_locale]: {} }\n        ;\n    const numberFormats = isPlainObject(options.numberFormats)\n            ? options.numberFormats\n            : { [_locale]: {} }\n        ;\n    const modifiers = assign({}, options.modifiers || {}, getDefaultLinkedModifiers());\n    const pluralRules = options.pluralRules || {};\n    const missing = isFunction(options.missing) ? options.missing : null;\n    const missingWarn = isBoolean(options.missingWarn) || isRegExp(options.missingWarn)\n        ? options.missingWarn\n        : true;\n    const fallbackWarn = isBoolean(options.fallbackWarn) || isRegExp(options.fallbackWarn)\n        ? options.fallbackWarn\n        : true;\n    const fallbackFormat = !!options.fallbackFormat;\n    const unresolving = !!options.unresolving;\n    const postTranslation = isFunction(options.postTranslation)\n        ? options.postTranslation\n        : null;\n    const processor = isPlainObject(options.processor) ? options.processor : null;\n    const warnHtmlMessage = isBoolean(options.warnHtmlMessage)\n        ? options.warnHtmlMessage\n        : true;\n    const escapeParameter = !!options.escapeParameter;\n    const messageCompiler = isFunction(options.messageCompiler)\n        ? options.messageCompiler\n        : _compiler;\n    if ((process.env.NODE_ENV !== 'production') &&\n        !false &&\n        !false &&\n        isFunction(options.messageCompiler)) {\n        warnOnce(getWarnMessage(CoreWarnCodes.EXPERIMENTAL_CUSTOM_MESSAGE_COMPILER));\n    }\n    const messageResolver = isFunction(options.messageResolver)\n        ? options.messageResolver\n        : _resolver || resolveWithKeyValue;\n    const localeFallbacker = isFunction(options.localeFallbacker)\n        ? options.localeFallbacker\n        : _fallbacker || fallbackWithSimple;\n    const fallbackContext = isObject(options.fallbackContext)\n        ? options.fallbackContext\n        : undefined;\n    // setup internal options\n    const internalOptions = options;\n    const __datetimeFormatters = isObject(internalOptions.__datetimeFormatters)\n            ? internalOptions.__datetimeFormatters\n            : new Map()\n        ;\n    const __numberFormatters = isObject(internalOptions.__numberFormatters)\n            ? internalOptions.__numberFormatters\n            : new Map()\n        ;\n    const __meta = isObject(internalOptions.__meta) ? internalOptions.__meta : {};\n    _cid++;\n    const context = {\n        version,\n        cid: _cid,\n        locale,\n        fallbackLocale,\n        messages,\n        modifiers,\n        pluralRules,\n        missing,\n        missingWarn,\n        fallbackWarn,\n        fallbackFormat,\n        unresolving,\n        postTranslation,\n        processor,\n        warnHtmlMessage,\n        escapeParameter,\n        messageCompiler,\n        messageResolver,\n        localeFallbacker,\n        fallbackContext,\n        onWarn,\n        __meta\n    };\n    {\n        context.datetimeFormats = datetimeFormats;\n        context.numberFormats = numberFormats;\n        context.__datetimeFormatters = __datetimeFormatters;\n        context.__numberFormatters = __numberFormatters;\n    }\n    // for vue-devtools timeline event\n    if ((process.env.NODE_ENV !== 'production')) {\n        context.__v_emitter =\n            internalOptions.__v_emitter != null\n                ? internalOptions.__v_emitter\n                : undefined;\n    }\n    // NOTE: experimental !!\n    if ((process.env.NODE_ENV !== 'production') || __INTLIFY_PROD_DEVTOOLS__) {\n        initI18nDevTools(context, version, __meta);\n    }\n    return context;\n}\n/** @internal */\nfunction isTranslateFallbackWarn(fallback, key) {\n    return fallback instanceof RegExp ? fallback.test(key) : fallback;\n}\n/** @internal */\nfunction isTranslateMissingWarn(missing, key) {\n    return missing instanceof RegExp ? missing.test(key) : missing;\n}\n/** @internal */\nfunction handleMissing(context, key, locale, missingWarn, type) {\n    const { missing, onWarn } = context;\n    // for vue-devtools timeline event\n    if ((process.env.NODE_ENV !== 'production')) {\n        const emitter = context.__v_emitter;\n        if (emitter) {\n            emitter.emit(\"missing\" /* VueDevToolsTimelineEvents.MISSING */, {\n                locale,\n                key,\n                type,\n                groupId: `${type}:${key}`\n            });\n        }\n    }\n    if (missing !== null) {\n        const ret = missing(context, locale, key, type);\n        return isString(ret) ? ret : key;\n    }\n    else {\n        if ((process.env.NODE_ENV !== 'production') && isTranslateMissingWarn(missingWarn, key)) {\n            onWarn(getWarnMessage(CoreWarnCodes.NOT_FOUND_KEY, { key, locale }));\n        }\n        return key;\n    }\n}\n/** @internal */\nfunction updateFallbackLocale(ctx, locale, fallback) {\n    const context = ctx;\n    context.__localeChainCache = new Map();\n    ctx.localeFallbacker(ctx, fallback, locale);\n}\n/** @internal */\nfunction isAlmostSameLocale(locale, compareLocale) {\n    if (locale === compareLocale)\n        return false;\n    return locale.split('-')[0] === compareLocale.split('-')[0];\n}\n/** @internal */\nfunction isImplicitFallback(targetLocale, locales) {\n    const index = locales.indexOf(targetLocale);\n    if (index === -1) {\n        return false;\n    }\n    for (let i = index + 1; i < locales.length; i++) {\n        if (isAlmostSameLocale(targetLocale, locales[i])) {\n            return true;\n        }\n    }\n    return false;\n}\n/* eslint-enable @typescript-eslint/no-explicit-any */\n\nfunction format(ast) {\n    const msg = (ctx) => formatParts(ctx, ast);\n    return msg;\n}\nfunction formatParts(ctx, ast) {\n    const body = ast.b || ast.body;\n    if ((body.t || body.type) === 1 /* NodeTypes.Plural */) {\n        const plural = body;\n        const cases = plural.c || plural.cases;\n        return ctx.plural(cases.reduce((messages, c) => [\n            ...messages,\n            formatMessageParts(ctx, c)\n        ], []));\n    }\n    else {\n        return formatMessageParts(ctx, body);\n    }\n}\nfunction formatMessageParts(ctx, node) {\n    const _static = node.s || node.static;\n    if (_static) {\n        return ctx.type === 'text'\n            ? _static\n            : ctx.normalize([_static]);\n    }\n    else {\n        const messages = (node.i || node.items).reduce((acm, c) => [...acm, formatMessagePart(ctx, c)], []);\n        return ctx.normalize(messages);\n    }\n}\nfunction formatMessagePart(ctx, node) {\n    const type = node.t || node.type;\n    switch (type) {\n        case 3 /* NodeTypes.Text */: {\n            const text = node;\n            return (text.v || text.value);\n        }\n        case 9 /* NodeTypes.Literal */: {\n            const literal = node;\n            return (literal.v || literal.value);\n        }\n        case 4 /* NodeTypes.Named */: {\n            const named = node;\n            return ctx.interpolate(ctx.named(named.k || named.key));\n        }\n        case 5 /* NodeTypes.List */: {\n            const list = node;\n            return ctx.interpolate(ctx.list(list.i != null ? list.i : list.index));\n        }\n        case 6 /* NodeTypes.Linked */: {\n            const linked = node;\n            const modifier = linked.m || linked.modifier;\n            return ctx.linked(formatMessagePart(ctx, linked.k || linked.key), modifier ? formatMessagePart(ctx, modifier) : undefined, ctx.type);\n        }\n        case 7 /* NodeTypes.LinkedKey */: {\n            const linkedKey = node;\n            return (linkedKey.v || linkedKey.value);\n        }\n        case 8 /* NodeTypes.LinkedModifier */: {\n            const linkedModifier = node;\n            return (linkedModifier.v || linkedModifier.value);\n        }\n        default:\n            throw new Error(`unhandled node type on format message part: ${type}`);\n    }\n}\n\nconst WARN_MESSAGE = `Detected HTML in '{source}' message. Recommend not using HTML messages to avoid XSS.`;\nfunction checkHtmlMessage(source, warnHtmlMessage) {\n    if (warnHtmlMessage && detectHtmlTag(source)) {\n        warn(format$1(WARN_MESSAGE, { source }));\n    }\n}\nconst defaultOnCacheKey = (message) => message;\nlet compileCache = Object.create(null);\nfunction onCompileWarn(_warn) {\n    if (_warn.code === CompileWarnCodes.USE_MODULO_SYNTAX) {\n        warn(`The use of named interpolation with modulo syntax is deprecated. ` +\n            `It will be removed in v10.\\n` +\n            `reference: https://vue-i18n.intlify.dev/guide/essentials/syntax#rails-i18n-format \\n` +\n            `(message compiler warning message: ${_warn.message})`);\n    }\n}\nfunction clearCompileCache() {\n    compileCache = Object.create(null);\n}\nconst isMessageAST = (val) => isObject(val) &&\n    (val.t === 0 || val.type === 0) &&\n    ('b' in val || 'body' in val);\nfunction baseCompile(message, options = {}) {\n    // error detecting on compile\n    let detectError = false;\n    const onError = options.onError || defaultOnError;\n    options.onError = (err) => {\n        detectError = true;\n        onError(err);\n    };\n    // compile with mesasge-compiler\n    return { ...baseCompile$1(message, options), detectError };\n}\n/* #__NO_SIDE_EFFECTS__ */\nconst compileToFunction = (message, context) => {\n    if (!isString(message)) {\n        throw createCoreError(CoreErrorCodes.NOT_SUPPORT_NON_STRING_MESSAGE);\n    }\n    // set onWarn\n    if ((process.env.NODE_ENV !== 'production')) {\n        context.onWarn = onCompileWarn;\n    }\n    {\n        // check HTML message\n        const warnHtmlMessage = isBoolean(context.warnHtmlMessage)\n            ? context.warnHtmlMessage\n            : true;\n        (process.env.NODE_ENV !== 'production') && checkHtmlMessage(message, warnHtmlMessage);\n        // check caches\n        const onCacheKey = context.onCacheKey || defaultOnCacheKey;\n        const cacheKey = onCacheKey(message);\n        const cached = compileCache[cacheKey];\n        if (cached) {\n            return cached;\n        }\n        // compile\n        const { code, detectError } = baseCompile(message, context);\n        // evaluate function\n        const msg = new Function(`return ${code}`)();\n        // if occurred compile error, don't cache\n        return !detectError\n            ? (compileCache[cacheKey] = msg)\n            : msg;\n    }\n};\nfunction compile(message, context) {\n    // set onWarn\n    if ((process.env.NODE_ENV !== 'production')) {\n        context.onWarn = onCompileWarn;\n    }\n    if (((__INTLIFY_JIT_COMPILATION__ && !__INTLIFY_DROP_MESSAGE_COMPILER__)) &&\n        isString(message)) {\n        // check HTML message\n        const warnHtmlMessage = isBoolean(context.warnHtmlMessage)\n            ? context.warnHtmlMessage\n            : true;\n        (process.env.NODE_ENV !== 'production') && checkHtmlMessage(message, warnHtmlMessage);\n        // check caches\n        const onCacheKey = context.onCacheKey || defaultOnCacheKey;\n        const cacheKey = onCacheKey(message);\n        const cached = compileCache[cacheKey];\n        if (cached) {\n            return cached;\n        }\n        // compile with JIT mode\n        const { ast, detectError } = baseCompile(message, {\n            ...context,\n            location: (process.env.NODE_ENV !== 'production'),\n            jit: true\n        });\n        // compose message function from AST\n        const msg = format(ast);\n        // if occurred compile error, don't cache\n        return !detectError\n            ? (compileCache[cacheKey] = msg)\n            : msg;\n    }\n    else {\n        if ((process.env.NODE_ENV !== 'production') && !isMessageAST(message)) {\n            warn(`the message that is resolve with key '${context.key}' is not supported for jit compilation`);\n            return (() => message);\n        }\n        // AST case (passed from bundler)\n        const cacheKey = message.cacheKey;\n        if (cacheKey) {\n            const cached = compileCache[cacheKey];\n            if (cached) {\n                return cached;\n            }\n            // compose message function from message (AST)\n            return (compileCache[cacheKey] =\n                format(message));\n        }\n        else {\n            return format(message);\n        }\n    }\n}\n\nconst NOOP_MESSAGE_FUNCTION = () => '';\nconst isMessageFunction = (val) => isFunction(val);\n// implementation of `translate` function\nfunction translate(context, ...args) {\n    const { fallbackFormat, postTranslation, unresolving, messageCompiler, fallbackLocale, messages } = context;\n    const [key, options] = parseTranslateArgs(...args);\n    const missingWarn = isBoolean(options.missingWarn)\n        ? options.missingWarn\n        : context.missingWarn;\n    const fallbackWarn = isBoolean(options.fallbackWarn)\n        ? options.fallbackWarn\n        : context.fallbackWarn;\n    const escapeParameter = isBoolean(options.escapeParameter)\n        ? options.escapeParameter\n        : context.escapeParameter;\n    const resolvedMessage = !!options.resolvedMessage;\n    // prettier-ignore\n    const defaultMsgOrKey = isString(options.default) || isBoolean(options.default) // default by function option\n        ? !isBoolean(options.default)\n            ? options.default\n            : (!messageCompiler ? () => key : key)\n        : fallbackFormat // default by `fallbackFormat` option\n            ? (!messageCompiler ? () => key : key)\n            : '';\n    const enableDefaultMsg = fallbackFormat || defaultMsgOrKey !== '';\n    const locale = getLocale(context, options);\n    // escape params\n    escapeParameter && escapeParams(options);\n    // resolve message format\n    // eslint-disable-next-line prefer-const\n    let [formatScope, targetLocale, message] = !resolvedMessage\n        ? resolveMessageFormat(context, key, locale, fallbackLocale, fallbackWarn, missingWarn)\n        : [\n            key,\n            locale,\n            messages[locale] || {}\n        ];\n    // NOTE:\n    //  Fix to work around `ssrTransfrom` bug in Vite.\n    //  https://github.com/vitejs/vite/issues/4306\n    //  To get around this, use temporary variables.\n    //  https://github.com/nuxt/framework/issues/1461#issuecomment-954606243\n    let format = formatScope;\n    // if you use default message, set it as message format!\n    let cacheBaseKey = key;\n    if (!resolvedMessage &&\n        !(isString(format) ||\n            isMessageAST(format) ||\n            isMessageFunction(format))) {\n        if (enableDefaultMsg) {\n            format = defaultMsgOrKey;\n            cacheBaseKey = format;\n        }\n    }\n    // checking message format and target locale\n    if (!resolvedMessage &&\n        (!(isString(format) ||\n            isMessageAST(format) ||\n            isMessageFunction(format)) ||\n            !isString(targetLocale))) {\n        return unresolving ? NOT_REOSLVED : key;\n    }\n    // TODO: refactor\n    if ((process.env.NODE_ENV !== 'production') && isString(format) && context.messageCompiler == null) {\n        warn(`The message format compilation is not supported in this build. ` +\n            `Because message compiler isn't included. ` +\n            `You need to pre-compilation all message format. ` +\n            `So translate function return '${key}'.`);\n        return key;\n    }\n    // setup compile error detecting\n    let occurred = false;\n    const onError = () => {\n        occurred = true;\n    };\n    // compile message format\n    const msg = !isMessageFunction(format)\n        ? compileMessageFormat(context, key, targetLocale, format, cacheBaseKey, onError)\n        : format;\n    // if occurred compile error, return the message format\n    if (occurred) {\n        return format;\n    }\n    // evaluate message with context\n    const ctxOptions = getMessageContextOptions(context, targetLocale, message, options);\n    const msgContext = createMessageContext(ctxOptions);\n    const messaged = evaluateMessage(context, msg, msgContext);\n    // if use post translation option, proceed it with handler\n    const ret = postTranslation\n        ? postTranslation(messaged, key)\n        : messaged;\n    // NOTE: experimental !!\n    if ((process.env.NODE_ENV !== 'production') || __INTLIFY_PROD_DEVTOOLS__) {\n        // prettier-ignore\n        const payloads = {\n            timestamp: Date.now(),\n            key: isString(key)\n                ? key\n                : isMessageFunction(format)\n                    ? format.key\n                    : '',\n            locale: targetLocale || (isMessageFunction(format)\n                ? format.locale\n                : ''),\n            format: isString(format)\n                ? format\n                : isMessageFunction(format)\n                    ? format.source\n                    : '',\n            message: ret\n        };\n        payloads.meta = assign({}, context.__meta, getAdditionalMeta() || {});\n        translateDevTools(payloads);\n    }\n    return ret;\n}\nfunction escapeParams(options) {\n    if (isArray(options.list)) {\n        options.list = options.list.map(item => isString(item) ? escapeHtml(item) : item);\n    }\n    else if (isObject(options.named)) {\n        Object.keys(options.named).forEach(key => {\n            if (isString(options.named[key])) {\n                options.named[key] = escapeHtml(options.named[key]);\n            }\n        });\n    }\n}\nfunction resolveMessageFormat(context, key, locale, fallbackLocale, fallbackWarn, missingWarn) {\n    const { messages, onWarn, messageResolver: resolveValue, localeFallbacker } = context;\n    const locales = localeFallbacker(context, fallbackLocale, locale); // eslint-disable-line @typescript-eslint/no-explicit-any\n    let message = {};\n    let targetLocale;\n    let format = null;\n    let from = locale;\n    let to = null;\n    const type = 'translate';\n    for (let i = 0; i < locales.length; i++) {\n        targetLocale = to = locales[i];\n        if ((process.env.NODE_ENV !== 'production') &&\n            locale !== targetLocale &&\n            !isAlmostSameLocale(locale, targetLocale) &&\n            isTranslateFallbackWarn(fallbackWarn, key)) {\n            onWarn(getWarnMessage(CoreWarnCodes.FALLBACK_TO_TRANSLATE, {\n                key,\n                target: targetLocale\n            }));\n        }\n        // for vue-devtools timeline event\n        if ((process.env.NODE_ENV !== 'production') && locale !== targetLocale) {\n            const emitter = context.__v_emitter;\n            if (emitter) {\n                emitter.emit(\"fallback\" /* VueDevToolsTimelineEvents.FALBACK */, {\n                    type,\n                    key,\n                    from,\n                    to,\n                    groupId: `${type}:${key}`\n                });\n            }\n        }\n        message =\n            messages[targetLocale] || {};\n        // for vue-devtools timeline event\n        let start = null;\n        let startTag;\n        let endTag;\n        if ((process.env.NODE_ENV !== 'production') && inBrowser) {\n            start = window.performance.now();\n            startTag = 'intlify-message-resolve-start';\n            endTag = 'intlify-message-resolve-end';\n            mark && mark(startTag);\n        }\n        if ((format = resolveValue(message, key)) === null) {\n            // if null, resolve with object key path\n            format = message[key]; // eslint-disable-line @typescript-eslint/no-explicit-any\n        }\n        // for vue-devtools timeline event\n        if ((process.env.NODE_ENV !== 'production') && inBrowser) {\n            const end = window.performance.now();\n            const emitter = context.__v_emitter;\n            if (emitter && start && format) {\n                emitter.emit(\"message-resolve\" /* VueDevToolsTimelineEvents.MESSAGE_RESOLVE */, {\n                    type: \"message-resolve\" /* VueDevToolsTimelineEvents.MESSAGE_RESOLVE */,\n                    key,\n                    message: format,\n                    time: end - start,\n                    groupId: `${type}:${key}`\n                });\n            }\n            if (startTag && endTag && mark && measure) {\n                mark(endTag);\n                measure('intlify message resolve', startTag, endTag);\n            }\n        }\n        if (isString(format) || isMessageAST(format) || isMessageFunction(format)) {\n            break;\n        }\n        if (!isImplicitFallback(targetLocale, locales)) {\n            const missingRet = handleMissing(context, // eslint-disable-line @typescript-eslint/no-explicit-any\n            key, targetLocale, missingWarn, type);\n            if (missingRet !== key) {\n                format = missingRet;\n            }\n        }\n        from = to;\n    }\n    return [format, targetLocale, message];\n}\nfunction compileMessageFormat(context, key, targetLocale, format, cacheBaseKey, onError) {\n    const { messageCompiler, warnHtmlMessage } = context;\n    if (isMessageFunction(format)) {\n        const msg = format;\n        msg.locale = msg.locale || targetLocale;\n        msg.key = msg.key || key;\n        return msg;\n    }\n    if (messageCompiler == null) {\n        const msg = (() => format);\n        msg.locale = targetLocale;\n        msg.key = key;\n        return msg;\n    }\n    // for vue-devtools timeline event\n    let start = null;\n    let startTag;\n    let endTag;\n    if ((process.env.NODE_ENV !== 'production') && inBrowser) {\n        start = window.performance.now();\n        startTag = 'intlify-message-compilation-start';\n        endTag = 'intlify-message-compilation-end';\n        mark && mark(startTag);\n    }\n    const msg = messageCompiler(format, getCompileContext(context, targetLocale, cacheBaseKey, format, warnHtmlMessage, onError));\n    // for vue-devtools timeline event\n    if ((process.env.NODE_ENV !== 'production') && inBrowser) {\n        const end = window.performance.now();\n        const emitter = context.__v_emitter;\n        if (emitter && start) {\n            emitter.emit(\"message-compilation\" /* VueDevToolsTimelineEvents.MESSAGE_COMPILATION */, {\n                type: \"message-compilation\" /* VueDevToolsTimelineEvents.MESSAGE_COMPILATION */,\n                message: format,\n                time: end - start,\n                groupId: `${'translate'}:${key}`\n            });\n        }\n        if (startTag && endTag && mark && measure) {\n            mark(endTag);\n            measure('intlify message compilation', startTag, endTag);\n        }\n    }\n    msg.locale = targetLocale;\n    msg.key = key;\n    msg.source = format;\n    return msg;\n}\nfunction evaluateMessage(context, msg, msgCtx) {\n    // for vue-devtools timeline event\n    let start = null;\n    let startTag;\n    let endTag;\n    if ((process.env.NODE_ENV !== 'production') && inBrowser) {\n        start = window.performance.now();\n        startTag = 'intlify-message-evaluation-start';\n        endTag = 'intlify-message-evaluation-end';\n        mark && mark(startTag);\n    }\n    const messaged = msg(msgCtx);\n    // for vue-devtools timeline event\n    if ((process.env.NODE_ENV !== 'production') && inBrowser) {\n        const end = window.performance.now();\n        const emitter = context.__v_emitter;\n        if (emitter && start) {\n            emitter.emit(\"message-evaluation\" /* VueDevToolsTimelineEvents.MESSAGE_EVALUATION */, {\n                type: \"message-evaluation\" /* VueDevToolsTimelineEvents.MESSAGE_EVALUATION */,\n                value: messaged,\n                time: end - start,\n                groupId: `${'translate'}:${msg.key}`\n            });\n        }\n        if (startTag && endTag && mark && measure) {\n            mark(endTag);\n            measure('intlify message evaluation', startTag, endTag);\n        }\n    }\n    return messaged;\n}\n/** @internal */\nfunction parseTranslateArgs(...args) {\n    const [arg1, arg2, arg3] = args;\n    const options = {};\n    if (!isString(arg1) &&\n        !isNumber(arg1) &&\n        !isMessageFunction(arg1) &&\n        !isMessageAST(arg1)) {\n        throw createCoreError(CoreErrorCodes.INVALID_ARGUMENT);\n    }\n    // prettier-ignore\n    const key = isNumber(arg1)\n        ? String(arg1)\n        : isMessageFunction(arg1)\n            ? arg1\n            : arg1;\n    if (isNumber(arg2)) {\n        options.plural = arg2;\n    }\n    else if (isString(arg2)) {\n        options.default = arg2;\n    }\n    else if (isPlainObject(arg2) && !isEmptyObject(arg2)) {\n        options.named = arg2;\n    }\n    else if (isArray(arg2)) {\n        options.list = arg2;\n    }\n    if (isNumber(arg3)) {\n        options.plural = arg3;\n    }\n    else if (isString(arg3)) {\n        options.default = arg3;\n    }\n    else if (isPlainObject(arg3)) {\n        assign(options, arg3);\n    }\n    return [key, options];\n}\nfunction getCompileContext(context, locale, key, source, warnHtmlMessage, onError) {\n    return {\n        locale,\n        key,\n        warnHtmlMessage,\n        onError: (err) => {\n            onError && onError(err);\n            if ((process.env.NODE_ENV !== 'production')) {\n                const _source = getSourceForCodeFrame(source);\n                const message = `Message compilation error: ${err.message}`;\n                const codeFrame = err.location &&\n                    _source &&\n                    generateCodeFrame(_source, err.location.start.offset, err.location.end.offset);\n                const emitter = context.__v_emitter;\n                if (emitter && _source) {\n                    emitter.emit(\"compile-error\" /* VueDevToolsTimelineEvents.COMPILE_ERROR */, {\n                        message: _source,\n                        error: err.message,\n                        start: err.location && err.location.start.offset,\n                        end: err.location && err.location.end.offset,\n                        groupId: `${'translate'}:${key}`\n                    });\n                }\n                console.error(codeFrame ? `${message}\\n${codeFrame}` : message);\n            }\n            else {\n                throw err;\n            }\n        },\n        onCacheKey: (source) => generateFormatCacheKey(locale, key, source)\n    };\n}\nfunction getSourceForCodeFrame(source) {\n    if (isString(source)) {\n        return source;\n    }\n    else {\n        if (source.loc && source.loc.source) {\n            return source.loc.source;\n        }\n    }\n}\nfunction getMessageContextOptions(context, locale, message, options) {\n    const { modifiers, pluralRules, messageResolver: resolveValue, fallbackLocale, fallbackWarn, missingWarn, fallbackContext } = context;\n    const resolveMessage = (key) => {\n        let val = resolveValue(message, key);\n        // fallback to root context\n        if (val == null && fallbackContext) {\n            const [, , message] = resolveMessageFormat(fallbackContext, key, locale, fallbackLocale, fallbackWarn, missingWarn);\n            val = resolveValue(message, key);\n        }\n        if (isString(val) || isMessageAST(val)) {\n            let occurred = false;\n            const onError = () => {\n                occurred = true;\n            };\n            const msg = compileMessageFormat(context, key, locale, val, key, onError);\n            return !occurred\n                ? msg\n                : NOOP_MESSAGE_FUNCTION;\n        }\n        else if (isMessageFunction(val)) {\n            return val;\n        }\n        else {\n            // TODO: should be implemented warning message\n            return NOOP_MESSAGE_FUNCTION;\n        }\n    };\n    const ctxOptions = {\n        locale,\n        modifiers,\n        pluralRules,\n        messages: resolveMessage\n    };\n    if (context.processor) {\n        ctxOptions.processor = context.processor;\n    }\n    if (options.list) {\n        ctxOptions.list = options.list;\n    }\n    if (options.named) {\n        ctxOptions.named = options.named;\n    }\n    if (isNumber(options.plural)) {\n        ctxOptions.pluralIndex = options.plural;\n    }\n    return ctxOptions;\n}\n\nconst intlDefined = typeof Intl !== 'undefined';\nconst Availabilities = {\n    dateTimeFormat: intlDefined && typeof Intl.DateTimeFormat !== 'undefined',\n    numberFormat: intlDefined && typeof Intl.NumberFormat !== 'undefined'\n};\n\n// implementation of `datetime` function\nfunction datetime(context, ...args) {\n    const { datetimeFormats, unresolving, fallbackLocale, onWarn, localeFallbacker } = context;\n    const { __datetimeFormatters } = context;\n    if ((process.env.NODE_ENV !== 'production') && !Availabilities.dateTimeFormat) {\n        onWarn(getWarnMessage(CoreWarnCodes.CANNOT_FORMAT_DATE));\n        return MISSING_RESOLVE_VALUE;\n    }\n    const [key, value, options, overrides] = parseDateTimeArgs(...args);\n    const missingWarn = isBoolean(options.missingWarn)\n        ? options.missingWarn\n        : context.missingWarn;\n    const fallbackWarn = isBoolean(options.fallbackWarn)\n        ? options.fallbackWarn\n        : context.fallbackWarn;\n    const part = !!options.part;\n    const locale = getLocale(context, options);\n    const locales = localeFallbacker(context, // eslint-disable-line @typescript-eslint/no-explicit-any\n    fallbackLocale, locale);\n    if (!isString(key) || key === '') {\n        return new Intl.DateTimeFormat(locale, overrides).format(value);\n    }\n    // resolve format\n    let datetimeFormat = {};\n    let targetLocale;\n    let format = null;\n    let from = locale;\n    let to = null;\n    const type = 'datetime format';\n    for (let i = 0; i < locales.length; i++) {\n        targetLocale = to = locales[i];\n        if ((process.env.NODE_ENV !== 'production') &&\n            locale !== targetLocale &&\n            isTranslateFallbackWarn(fallbackWarn, key)) {\n            onWarn(getWarnMessage(CoreWarnCodes.FALLBACK_TO_DATE_FORMAT, {\n                key,\n                target: targetLocale\n            }));\n        }\n        // for vue-devtools timeline event\n        if ((process.env.NODE_ENV !== 'production') && locale !== targetLocale) {\n            const emitter = context.__v_emitter;\n            if (emitter) {\n                emitter.emit(\"fallback\" /* VueDevToolsTimelineEvents.FALBACK */, {\n                    type,\n                    key,\n                    from,\n                    to,\n                    groupId: `${type}:${key}`\n                });\n            }\n        }\n        datetimeFormat =\n            datetimeFormats[targetLocale] || {};\n        format = datetimeFormat[key];\n        if (isPlainObject(format))\n            break;\n        handleMissing(context, key, targetLocale, missingWarn, type); // eslint-disable-line @typescript-eslint/no-explicit-any\n        from = to;\n    }\n    // checking format and target locale\n    if (!isPlainObject(format) || !isString(targetLocale)) {\n        return unresolving ? NOT_REOSLVED : key;\n    }\n    let id = `${targetLocale}__${key}`;\n    if (!isEmptyObject(overrides)) {\n        id = `${id}__${JSON.stringify(overrides)}`;\n    }\n    let formatter = __datetimeFormatters.get(id);\n    if (!formatter) {\n        formatter = new Intl.DateTimeFormat(targetLocale, assign({}, format, overrides));\n        __datetimeFormatters.set(id, formatter);\n    }\n    return !part ? formatter.format(value) : formatter.formatToParts(value);\n}\n/** @internal */\nconst DATETIME_FORMAT_OPTIONS_KEYS = [\n    'localeMatcher',\n    'weekday',\n    'era',\n    'year',\n    'month',\n    'day',\n    'hour',\n    'minute',\n    'second',\n    'timeZoneName',\n    'formatMatcher',\n    'hour12',\n    'timeZone',\n    'dateStyle',\n    'timeStyle',\n    'calendar',\n    'dayPeriod',\n    'numberingSystem',\n    'hourCycle',\n    'fractionalSecondDigits'\n];\n/** @internal */\nfunction parseDateTimeArgs(...args) {\n    const [arg1, arg2, arg3, arg4] = args;\n    const options = {};\n    let overrides = {};\n    let value;\n    if (isString(arg1)) {\n        // Only allow ISO strings - other date formats are often supported,\n        // but may cause different results in different browsers.\n        const matches = arg1.match(/(\\d{4}-\\d{2}-\\d{2})(T|\\s)?(.*)/);\n        if (!matches) {\n            throw createCoreError(CoreErrorCodes.INVALID_ISO_DATE_ARGUMENT);\n        }\n        // Some browsers can not parse the iso datetime separated by space,\n        // this is a compromise solution by replace the 'T'/' ' with 'T'\n        const dateTime = matches[3]\n            ? matches[3].trim().startsWith('T')\n                ? `${matches[1].trim()}${matches[3].trim()}`\n                : `${matches[1].trim()}T${matches[3].trim()}`\n            : matches[1].trim();\n        value = new Date(dateTime);\n        try {\n            // This will fail if the date is not valid\n            value.toISOString();\n        }\n        catch (e) {\n            throw createCoreError(CoreErrorCodes.INVALID_ISO_DATE_ARGUMENT);\n        }\n    }\n    else if (isDate(arg1)) {\n        if (isNaN(arg1.getTime())) {\n            throw createCoreError(CoreErrorCodes.INVALID_DATE_ARGUMENT);\n        }\n        value = arg1;\n    }\n    else if (isNumber(arg1)) {\n        value = arg1;\n    }\n    else {\n        throw createCoreError(CoreErrorCodes.INVALID_ARGUMENT);\n    }\n    if (isString(arg2)) {\n        options.key = arg2;\n    }\n    else if (isPlainObject(arg2)) {\n        Object.keys(arg2).forEach(key => {\n            if (DATETIME_FORMAT_OPTIONS_KEYS.includes(key)) {\n                overrides[key] = arg2[key];\n            }\n            else {\n                options[key] = arg2[key];\n            }\n        });\n    }\n    if (isString(arg3)) {\n        options.locale = arg3;\n    }\n    else if (isPlainObject(arg3)) {\n        overrides = arg3;\n    }\n    if (isPlainObject(arg4)) {\n        overrides = arg4;\n    }\n    return [options.key || '', value, options, overrides];\n}\n/** @internal */\nfunction clearDateTimeFormat(ctx, locale, format) {\n    const context = ctx;\n    for (const key in format) {\n        const id = `${locale}__${key}`;\n        if (!context.__datetimeFormatters.has(id)) {\n            continue;\n        }\n        context.__datetimeFormatters.delete(id);\n    }\n}\n\n// implementation of `number` function\nfunction number(context, ...args) {\n    const { numberFormats, unresolving, fallbackLocale, onWarn, localeFallbacker } = context;\n    const { __numberFormatters } = context;\n    if ((process.env.NODE_ENV !== 'production') && !Availabilities.numberFormat) {\n        onWarn(getWarnMessage(CoreWarnCodes.CANNOT_FORMAT_NUMBER));\n        return MISSING_RESOLVE_VALUE;\n    }\n    const [key, value, options, overrides] = parseNumberArgs(...args);\n    const missingWarn = isBoolean(options.missingWarn)\n        ? options.missingWarn\n        : context.missingWarn;\n    const fallbackWarn = isBoolean(options.fallbackWarn)\n        ? options.fallbackWarn\n        : context.fallbackWarn;\n    const part = !!options.part;\n    const locale = getLocale(context, options);\n    const locales = localeFallbacker(context, // eslint-disable-line @typescript-eslint/no-explicit-any\n    fallbackLocale, locale);\n    if (!isString(key) || key === '') {\n        return new Intl.NumberFormat(locale, overrides).format(value);\n    }\n    // resolve format\n    let numberFormat = {};\n    let targetLocale;\n    let format = null;\n    let from = locale;\n    let to = null;\n    const type = 'number format';\n    for (let i = 0; i < locales.length; i++) {\n        targetLocale = to = locales[i];\n        if ((process.env.NODE_ENV !== 'production') &&\n            locale !== targetLocale &&\n            isTranslateFallbackWarn(fallbackWarn, key)) {\n            onWarn(getWarnMessage(CoreWarnCodes.FALLBACK_TO_NUMBER_FORMAT, {\n                key,\n                target: targetLocale\n            }));\n        }\n        // for vue-devtools timeline event\n        if ((process.env.NODE_ENV !== 'production') && locale !== targetLocale) {\n            const emitter = context.__v_emitter;\n            if (emitter) {\n                emitter.emit(\"fallback\" /* VueDevToolsTimelineEvents.FALBACK */, {\n                    type,\n                    key,\n                    from,\n                    to,\n                    groupId: `${type}:${key}`\n                });\n            }\n        }\n        numberFormat =\n            numberFormats[targetLocale] || {};\n        format = numberFormat[key];\n        if (isPlainObject(format))\n            break;\n        handleMissing(context, key, targetLocale, missingWarn, type); // eslint-disable-line @typescript-eslint/no-explicit-any\n        from = to;\n    }\n    // checking format and target locale\n    if (!isPlainObject(format) || !isString(targetLocale)) {\n        return unresolving ? NOT_REOSLVED : key;\n    }\n    let id = `${targetLocale}__${key}`;\n    if (!isEmptyObject(overrides)) {\n        id = `${id}__${JSON.stringify(overrides)}`;\n    }\n    let formatter = __numberFormatters.get(id);\n    if (!formatter) {\n        formatter = new Intl.NumberFormat(targetLocale, assign({}, format, overrides));\n        __numberFormatters.set(id, formatter);\n    }\n    return !part ? formatter.format(value) : formatter.formatToParts(value);\n}\n/** @internal */\nconst NUMBER_FORMAT_OPTIONS_KEYS = [\n    'localeMatcher',\n    'style',\n    'currency',\n    'currencyDisplay',\n    'currencySign',\n    'useGrouping',\n    'minimumIntegerDigits',\n    'minimumFractionDigits',\n    'maximumFractionDigits',\n    'minimumSignificantDigits',\n    'maximumSignificantDigits',\n    'compactDisplay',\n    'notation',\n    'signDisplay',\n    'unit',\n    'unitDisplay',\n    'roundingMode',\n    'roundingPriority',\n    'roundingIncrement',\n    'trailingZeroDisplay'\n];\n/** @internal */\nfunction parseNumberArgs(...args) {\n    const [arg1, arg2, arg3, arg4] = args;\n    const options = {};\n    let overrides = {};\n    if (!isNumber(arg1)) {\n        throw createCoreError(CoreErrorCodes.INVALID_ARGUMENT);\n    }\n    const value = arg1;\n    if (isString(arg2)) {\n        options.key = arg2;\n    }\n    else if (isPlainObject(arg2)) {\n        Object.keys(arg2).forEach(key => {\n            if (NUMBER_FORMAT_OPTIONS_KEYS.includes(key)) {\n                overrides[key] = arg2[key];\n            }\n            else {\n                options[key] = arg2[key];\n            }\n        });\n    }\n    if (isString(arg3)) {\n        options.locale = arg3;\n    }\n    else if (isPlainObject(arg3)) {\n        overrides = arg3;\n    }\n    if (isPlainObject(arg4)) {\n        overrides = arg4;\n    }\n    return [options.key || '', value, options, overrides];\n}\n/** @internal */\nfunction clearNumberFormat(ctx, locale, format) {\n    const context = ctx;\n    for (const key in format) {\n        const id = `${locale}__${key}`;\n        if (!context.__numberFormatters.has(id)) {\n            continue;\n        }\n        context.__numberFormatters.delete(id);\n    }\n}\n\n{\n    initFeatureFlags();\n}\n\nexport { CoreErrorCodes, CoreWarnCodes, DATETIME_FORMAT_OPTIONS_KEYS, DEFAULT_LOCALE, DEFAULT_MESSAGE_DATA_TYPE, MISSING_RESOLVE_VALUE, NOT_REOSLVED, NUMBER_FORMAT_OPTIONS_KEYS, VERSION, clearCompileCache, clearDateTimeFormat, clearNumberFormat, compile, compileToFunction, createCoreContext, createCoreError, createMessageContext, datetime, fallbackWithLocaleChain, fallbackWithSimple, getAdditionalMeta, getDevToolsHook, getFallbackContext, getLocale, getWarnMessage, handleMissing, initI18nDevTools, isAlmostSameLocale, isImplicitFallback, isMessageAST, isMessageFunction, isTranslateFallbackWarn, isTranslateMissingWarn, number, parse, parseDateTimeArgs, parseNumberArgs, parseTranslateArgs, registerLocaleFallbacker, registerMessageCompiler, registerMessageResolver, resolveLocale, resolveValue, resolveWithKeyValue, setAdditionalMeta, setDevToolsHook, setFallbackContext, translate, translateDevTools, updateFallbackLocale };\n","/*!\n  * vue-i18n v9.13.1\n  * (c) 2024 kazuya kawaguchi\n  * Released under the MIT License.\n  */\nimport { getGlobalThis, incrementer, format, makeSymbol, isPlainObject, isArray, deepCopy, isString, hasOwn, isObject, warn, warnOnce, isBoolean, isRegExp, isFunction, inBrowser, assign, isNumber, createEmitter, isEmptyObject } from '@intlify/shared';\nimport { CoreWarnCodes, CoreErrorCodes, createCompileError, DEFAULT_LOCALE, updateFallbackLocale, setFallbackContext, createCoreContext, clearDateTimeFormat, clearNumberFormat, setAdditionalMeta, getFallbackContext, NOT_REOSLVED, isTranslateFallbackWarn, isTranslateMissingWarn, parseTranslateArgs, translate, MISSING_RESOLVE_VALUE, parseDateTimeArgs, datetime, parseNumberArgs, number, isMessageAST, isMessageFunction, fallbackWithLocaleChain, NUMBER_FORMAT_OPTIONS_KEYS, DATETIME_FORMAT_OPTIONS_KEYS, registerMessageCompiler, compile, compileToFunction, registerMessageResolver, resolveValue, registerLocaleFallbacker, setDevToolsHook } from '@intlify/core-base';\nimport { createVNode, Text, computed, watch, getCurrentInstance, ref, shallowRef, Fragment, defineComponent, h, effectScope, inject, onMounted, onUnmounted, onBeforeMount, isRef } from 'vue';\nimport { setupDevtoolsPlugin } from '@vue/devtools-api';\n\n/**\n * Vue I18n Version\n *\n * @remarks\n * Semver format. Same format as the package.json `version` field.\n *\n * @VueI18nGeneral\n */\nconst VERSION = '9.13.1';\n/**\n * This is only called in esm-bundler builds.\n * istanbul-ignore-next\n */\nfunction initFeatureFlags() {\n    if (typeof __VUE_I18N_FULL_INSTALL__ !== 'boolean') {\n        getGlobalThis().__VUE_I18N_FULL_INSTALL__ = true;\n    }\n    if (typeof __VUE_I18N_LEGACY_API__ !== 'boolean') {\n        getGlobalThis().__VUE_I18N_LEGACY_API__ = true;\n    }\n    if (typeof __INTLIFY_JIT_COMPILATION__ !== 'boolean') {\n        getGlobalThis().__INTLIFY_JIT_COMPILATION__ = false;\n    }\n    if (typeof __INTLIFY_DROP_MESSAGE_COMPILER__ !== 'boolean') {\n        getGlobalThis().__INTLIFY_DROP_MESSAGE_COMPILER__ = false;\n    }\n    if (typeof __INTLIFY_PROD_DEVTOOLS__ !== 'boolean') {\n        getGlobalThis().__INTLIFY_PROD_DEVTOOLS__ = false;\n    }\n}\n\nconst code$1 = CoreWarnCodes.__EXTEND_POINT__;\nconst inc$1 = incrementer(code$1);\nconst I18nWarnCodes = {\n    FALLBACK_TO_ROOT: code$1, // 9\n    NOT_SUPPORTED_PRESERVE: inc$1(), // 10\n    NOT_SUPPORTED_FORMATTER: inc$1(), // 11\n    NOT_SUPPORTED_PRESERVE_DIRECTIVE: inc$1(), // 12\n    NOT_SUPPORTED_GET_CHOICE_INDEX: inc$1(), // 13\n    COMPONENT_NAME_LEGACY_COMPATIBLE: inc$1(), // 14\n    NOT_FOUND_PARENT_SCOPE: inc$1(), // 15\n    IGNORE_OBJ_FLATTEN: inc$1(), // 16\n    NOTICE_DROP_ALLOW_COMPOSITION: inc$1(), // 17\n    NOTICE_DROP_TRANSLATE_EXIST_COMPATIBLE_FLAG: inc$1() // 18\n};\nconst warnMessages = {\n    [I18nWarnCodes.FALLBACK_TO_ROOT]: `Fall back to {type} '{key}' with root locale.`,\n    [I18nWarnCodes.NOT_SUPPORTED_PRESERVE]: `Not supported 'preserve'.`,\n    [I18nWarnCodes.NOT_SUPPORTED_FORMATTER]: `Not supported 'formatter'.`,\n    [I18nWarnCodes.NOT_SUPPORTED_PRESERVE_DIRECTIVE]: `Not supported 'preserveDirectiveContent'.`,\n    [I18nWarnCodes.NOT_SUPPORTED_GET_CHOICE_INDEX]: `Not supported 'getChoiceIndex'.`,\n    [I18nWarnCodes.COMPONENT_NAME_LEGACY_COMPATIBLE]: `Component name legacy compatible: '{name}' -> 'i18n'`,\n    [I18nWarnCodes.NOT_FOUND_PARENT_SCOPE]: `Not found parent scope. use the global scope.`,\n    [I18nWarnCodes.IGNORE_OBJ_FLATTEN]: `Ignore object flatten: '{key}' key has an string value`,\n    [I18nWarnCodes.NOTICE_DROP_ALLOW_COMPOSITION]: `'allowComposition' option will be dropped in the next major version. For more information, please see 👉 https://tinyurl.com/2p97mcze`,\n    [I18nWarnCodes.NOTICE_DROP_TRANSLATE_EXIST_COMPATIBLE_FLAG]: `'translateExistCompatible' option will be dropped in the next major version.`\n};\nfunction getWarnMessage(code, ...args) {\n    return format(warnMessages[code], ...args);\n}\n\nconst code = CoreErrorCodes.__EXTEND_POINT__;\nconst inc = incrementer(code);\nconst I18nErrorCodes = {\n    // composer module errors\n    UNEXPECTED_RETURN_TYPE: code, // 24\n    // legacy module errors\n    INVALID_ARGUMENT: inc(), // 25\n    // i18n module errors\n    MUST_BE_CALL_SETUP_TOP: inc(), // 26\n    NOT_INSTALLED: inc(), // 27\n    NOT_AVAILABLE_IN_LEGACY_MODE: inc(), // 28\n    // directive module errors\n    REQUIRED_VALUE: inc(), // 29\n    INVALID_VALUE: inc(), // 30\n    // vue-devtools errors\n    CANNOT_SETUP_VUE_DEVTOOLS_PLUGIN: inc(), // 31\n    NOT_INSTALLED_WITH_PROVIDE: inc(), // 32\n    // unexpected error\n    UNEXPECTED_ERROR: inc(), // 33\n    // not compatible legacy vue-i18n constructor\n    NOT_COMPATIBLE_LEGACY_VUE_I18N: inc(), // 34\n    // bridge support vue 2.x only\n    BRIDGE_SUPPORT_VUE_2_ONLY: inc(), // 35\n    // need to define `i18n` option in `allowComposition: true` and `useScope: 'local' at `useI18n``\n    MUST_DEFINE_I18N_OPTION_IN_ALLOW_COMPOSITION: inc(), // 36\n    // Not available Compostion API in Legacy API mode. Please make sure that the legacy API mode is working properly\n    NOT_AVAILABLE_COMPOSITION_IN_LEGACY: inc(), // 37\n    // for enhancement\n    __EXTEND_POINT__: inc() // 38\n};\nfunction createI18nError(code, ...args) {\n    return createCompileError(code, null, (process.env.NODE_ENV !== 'production') ? { messages: errorMessages, args } : undefined);\n}\nconst errorMessages = {\n    [I18nErrorCodes.UNEXPECTED_RETURN_TYPE]: 'Unexpected return type in composer',\n    [I18nErrorCodes.INVALID_ARGUMENT]: 'Invalid argument',\n    [I18nErrorCodes.MUST_BE_CALL_SETUP_TOP]: 'Must be called at the top of a `setup` function',\n    [I18nErrorCodes.NOT_INSTALLED]: 'Need to install with `app.use` function',\n    [I18nErrorCodes.UNEXPECTED_ERROR]: 'Unexpected error',\n    [I18nErrorCodes.NOT_AVAILABLE_IN_LEGACY_MODE]: 'Not available in legacy mode',\n    [I18nErrorCodes.REQUIRED_VALUE]: `Required in value: {0}`,\n    [I18nErrorCodes.INVALID_VALUE]: `Invalid value`,\n    [I18nErrorCodes.CANNOT_SETUP_VUE_DEVTOOLS_PLUGIN]: `Cannot setup vue-devtools plugin`,\n    [I18nErrorCodes.NOT_INSTALLED_WITH_PROVIDE]: 'Need to install with `provide` function',\n    [I18nErrorCodes.NOT_COMPATIBLE_LEGACY_VUE_I18N]: 'Not compatible legacy VueI18n.',\n    [I18nErrorCodes.BRIDGE_SUPPORT_VUE_2_ONLY]: 'vue-i18n-bridge support Vue 2.x only',\n    [I18nErrorCodes.MUST_DEFINE_I18N_OPTION_IN_ALLOW_COMPOSITION]: 'Must define ‘i18n’ option or custom block in Composition API with using local scope in Legacy API mode',\n    [I18nErrorCodes.NOT_AVAILABLE_COMPOSITION_IN_LEGACY]: 'Not available Compostion API in Legacy API mode. Please make sure that the legacy API mode is working properly'\n};\n\nconst TranslateVNodeSymbol = \n/* #__PURE__*/ makeSymbol('__translateVNode');\nconst DatetimePartsSymbol = /* #__PURE__*/ makeSymbol('__datetimeParts');\nconst NumberPartsSymbol = /* #__PURE__*/ makeSymbol('__numberParts');\nconst EnableEmitter = /* #__PURE__*/ makeSymbol('__enableEmitter');\nconst DisableEmitter = /* #__PURE__*/ makeSymbol('__disableEmitter');\nconst SetPluralRulesSymbol = makeSymbol('__setPluralRules');\nmakeSymbol('__intlifyMeta');\nconst InejctWithOptionSymbol = \n/* #__PURE__*/ makeSymbol('__injectWithOption');\nconst DisposeSymbol = /* #__PURE__*/ makeSymbol('__dispose');\nconst __VUE_I18N_BRIDGE__ =  '__VUE_I18N_BRIDGE__';\n\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/**\n * Transform flat json in obj to normal json in obj\n */\nfunction handleFlatJson(obj) {\n    // check obj\n    if (!isObject(obj)) {\n        return obj;\n    }\n    for (const key in obj) {\n        // check key\n        if (!hasOwn(obj, key)) {\n            continue;\n        }\n        // handle for normal json\n        if (!key.includes('.')) {\n            // recursive process value if value is also a object\n            if (isObject(obj[key])) {\n                handleFlatJson(obj[key]);\n            }\n        }\n        // handle for flat json, transform to normal json\n        else {\n            // go to the last object\n            const subKeys = key.split('.');\n            const lastIndex = subKeys.length - 1;\n            let currentObj = obj;\n            let hasStringValue = false;\n            for (let i = 0; i < lastIndex; i++) {\n                if (!(subKeys[i] in currentObj)) {\n                    currentObj[subKeys[i]] = {};\n                }\n                if (!isObject(currentObj[subKeys[i]])) {\n                    (process.env.NODE_ENV !== 'production') &&\n                        warn(getWarnMessage(I18nWarnCodes.IGNORE_OBJ_FLATTEN, {\n                            key: subKeys[i]\n                        }));\n                    hasStringValue = true;\n                    break;\n                }\n                currentObj = currentObj[subKeys[i]];\n            }\n            // update last object value, delete old property\n            if (!hasStringValue) {\n                currentObj[subKeys[lastIndex]] = obj[key];\n                delete obj[key];\n            }\n            // recursive process value if value is also a object\n            if (isObject(currentObj[subKeys[lastIndex]])) {\n                handleFlatJson(currentObj[subKeys[lastIndex]]);\n            }\n        }\n    }\n    return obj;\n}\nfunction getLocaleMessages(locale, options) {\n    const { messages, __i18n, messageResolver, flatJson } = options;\n    // prettier-ignore\n    const ret = (isPlainObject(messages)\n        ? messages\n        : isArray(__i18n)\n            ? {}\n            : { [locale]: {} });\n    // merge locale messages of i18n custom block\n    if (isArray(__i18n)) {\n        __i18n.forEach(custom => {\n            if ('locale' in custom && 'resource' in custom) {\n                const { locale, resource } = custom;\n                if (locale) {\n                    ret[locale] = ret[locale] || {};\n                    deepCopy(resource, ret[locale]);\n                }\n                else {\n                    deepCopy(resource, ret);\n                }\n            }\n            else {\n                isString(custom) && deepCopy(JSON.parse(custom), ret);\n            }\n        });\n    }\n    // handle messages for flat json\n    if (messageResolver == null && flatJson) {\n        for (const key in ret) {\n            if (hasOwn(ret, key)) {\n                handleFlatJson(ret[key]);\n            }\n        }\n    }\n    return ret;\n}\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nfunction getComponentOptions(instance) {\n    return instance.type ;\n}\nfunction adjustI18nResources(gl, options, componentOptions // eslint-disable-line @typescript-eslint/no-explicit-any\n) {\n    let messages = isObject(options.messages) ? options.messages : {};\n    if ('__i18nGlobal' in componentOptions) {\n        messages = getLocaleMessages(gl.locale.value, {\n            messages,\n            __i18n: componentOptions.__i18nGlobal\n        });\n    }\n    // merge locale messages\n    const locales = Object.keys(messages);\n    if (locales.length) {\n        locales.forEach(locale => {\n            gl.mergeLocaleMessage(locale, messages[locale]);\n        });\n    }\n    {\n        // merge datetime formats\n        if (isObject(options.datetimeFormats)) {\n            const locales = Object.keys(options.datetimeFormats);\n            if (locales.length) {\n                locales.forEach(locale => {\n                    gl.mergeDateTimeFormat(locale, options.datetimeFormats[locale]);\n                });\n            }\n        }\n        // merge number formats\n        if (isObject(options.numberFormats)) {\n            const locales = Object.keys(options.numberFormats);\n            if (locales.length) {\n                locales.forEach(locale => {\n                    gl.mergeNumberFormat(locale, options.numberFormats[locale]);\n                });\n            }\n        }\n    }\n}\nfunction createTextNode(key) {\n    return createVNode(Text, null, key, 0)\n        ;\n}\n/* eslint-enable @typescript-eslint/no-explicit-any */\n\n/* eslint-disable @typescript-eslint/no-explicit-any */\n// extend VNode interface\nconst DEVTOOLS_META = '__INTLIFY_META__';\nconst NOOP_RETURN_ARRAY = () => [];\nconst NOOP_RETURN_FALSE = () => false;\nlet composerID = 0;\nfunction defineCoreMissingHandler(missing) {\n    return ((ctx, locale, key, type) => {\n        return missing(locale, key, getCurrentInstance() || undefined, type);\n    });\n}\n// for Intlify DevTools\n/* #__NO_SIDE_EFFECTS__ */\nconst getMetaInfo = () => {\n    const instance = getCurrentInstance();\n    let meta = null; // eslint-disable-line @typescript-eslint/no-explicit-any\n    return instance && (meta = getComponentOptions(instance)[DEVTOOLS_META])\n        ? { [DEVTOOLS_META]: meta } // eslint-disable-line @typescript-eslint/no-explicit-any\n        : null;\n};\n/**\n * Create composer interface factory\n *\n * @internal\n */\n// eslint-disable-next-line @typescript-eslint/explicit-module-boundary-types\nfunction createComposer(options = {}, VueI18nLegacy) {\n    const { __root, __injectWithOption } = options;\n    const _isGlobal = __root === undefined;\n    const flatJson = options.flatJson;\n    const _ref = inBrowser ? ref : shallowRef;\n    const translateExistCompatible = !!options.translateExistCompatible;\n    if ((process.env.NODE_ENV !== 'production')) {\n        if (translateExistCompatible && !false) {\n            warnOnce(getWarnMessage(I18nWarnCodes.NOTICE_DROP_TRANSLATE_EXIST_COMPATIBLE_FLAG));\n        }\n    }\n    let _inheritLocale = isBoolean(options.inheritLocale)\n        ? options.inheritLocale\n        : true;\n    const _locale = _ref(\n    // prettier-ignore\n    __root && _inheritLocale\n        ? __root.locale.value\n        : isString(options.locale)\n            ? options.locale\n            : DEFAULT_LOCALE);\n    const _fallbackLocale = _ref(\n    // prettier-ignore\n    __root && _inheritLocale\n        ? __root.fallbackLocale.value\n        : isString(options.fallbackLocale) ||\n            isArray(options.fallbackLocale) ||\n            isPlainObject(options.fallbackLocale) ||\n            options.fallbackLocale === false\n            ? options.fallbackLocale\n            : _locale.value);\n    const _messages = _ref(getLocaleMessages(_locale.value, options));\n    // prettier-ignore\n    const _datetimeFormats = _ref(isPlainObject(options.datetimeFormats)\n            ? options.datetimeFormats\n            : { [_locale.value]: {} })\n        ;\n    // prettier-ignore\n    const _numberFormats = _ref(isPlainObject(options.numberFormats)\n            ? options.numberFormats\n            : { [_locale.value]: {} })\n        ;\n    // warning suppress options\n    // prettier-ignore\n    let _missingWarn = __root\n        ? __root.missingWarn\n        : isBoolean(options.missingWarn) || isRegExp(options.missingWarn)\n            ? options.missingWarn\n            : true;\n    // prettier-ignore\n    let _fallbackWarn = __root\n        ? __root.fallbackWarn\n        : isBoolean(options.fallbackWarn) || isRegExp(options.fallbackWarn)\n            ? options.fallbackWarn\n            : true;\n    // prettier-ignore\n    let _fallbackRoot = __root\n        ? __root.fallbackRoot\n        : isBoolean(options.fallbackRoot)\n            ? options.fallbackRoot\n            : true;\n    // configure fall back to root\n    let _fallbackFormat = !!options.fallbackFormat;\n    // runtime missing\n    let _missing = isFunction(options.missing) ? options.missing : null;\n    let _runtimeMissing = isFunction(options.missing)\n        ? defineCoreMissingHandler(options.missing)\n        : null;\n    // postTranslation handler\n    let _postTranslation = isFunction(options.postTranslation)\n        ? options.postTranslation\n        : null;\n    // prettier-ignore\n    let _warnHtmlMessage = __root\n        ? __root.warnHtmlMessage\n        : isBoolean(options.warnHtmlMessage)\n            ? options.warnHtmlMessage\n            : true;\n    let _escapeParameter = !!options.escapeParameter;\n    // custom linked modifiers\n    // prettier-ignore\n    const _modifiers = __root\n        ? __root.modifiers\n        : isPlainObject(options.modifiers)\n            ? options.modifiers\n            : {};\n    // pluralRules\n    let _pluralRules = options.pluralRules || (__root && __root.pluralRules);\n    // runtime context\n    // eslint-disable-next-line prefer-const\n    let _context;\n    const getCoreContext = () => {\n        _isGlobal && setFallbackContext(null);\n        const ctxOptions = {\n            version: VERSION,\n            locale: _locale.value,\n            fallbackLocale: _fallbackLocale.value,\n            messages: _messages.value,\n            modifiers: _modifiers,\n            pluralRules: _pluralRules,\n            missing: _runtimeMissing === null ? undefined : _runtimeMissing,\n            missingWarn: _missingWarn,\n            fallbackWarn: _fallbackWarn,\n            fallbackFormat: _fallbackFormat,\n            unresolving: true,\n            postTranslation: _postTranslation === null ? undefined : _postTranslation,\n            warnHtmlMessage: _warnHtmlMessage,\n            escapeParameter: _escapeParameter,\n            messageResolver: options.messageResolver,\n            messageCompiler: options.messageCompiler,\n            __meta: { framework: 'vue' }\n        };\n        {\n            ctxOptions.datetimeFormats = _datetimeFormats.value;\n            ctxOptions.numberFormats = _numberFormats.value;\n            ctxOptions.__datetimeFormatters = isPlainObject(_context)\n                ? _context.__datetimeFormatters\n                : undefined;\n            ctxOptions.__numberFormatters = isPlainObject(_context)\n                ? _context.__numberFormatters\n                : undefined;\n        }\n        if ((process.env.NODE_ENV !== 'production')) {\n            ctxOptions.__v_emitter = isPlainObject(_context)\n                ? _context.__v_emitter\n                : undefined;\n        }\n        const ctx = createCoreContext(ctxOptions);\n        _isGlobal && setFallbackContext(ctx);\n        return ctx;\n    };\n    _context = getCoreContext();\n    updateFallbackLocale(_context, _locale.value, _fallbackLocale.value);\n    // track reactivity\n    function trackReactivityValues() {\n        return [\n                _locale.value,\n                _fallbackLocale.value,\n                _messages.value,\n                _datetimeFormats.value,\n                _numberFormats.value\n            ]\n            ;\n    }\n    // locale\n    const locale = computed({\n        get: () => _locale.value,\n        set: val => {\n            _locale.value = val;\n            _context.locale = _locale.value;\n        }\n    });\n    // fallbackLocale\n    const fallbackLocale = computed({\n        get: () => _fallbackLocale.value,\n        set: val => {\n            _fallbackLocale.value = val;\n            _context.fallbackLocale = _fallbackLocale.value;\n            updateFallbackLocale(_context, _locale.value, val);\n        }\n    });\n    // messages\n    const messages = computed(() => _messages.value);\n    // datetimeFormats\n    const datetimeFormats = /* #__PURE__*/ computed(() => _datetimeFormats.value);\n    // numberFormats\n    const numberFormats = /* #__PURE__*/ computed(() => _numberFormats.value);\n    // getPostTranslationHandler\n    function getPostTranslationHandler() {\n        return isFunction(_postTranslation) ? _postTranslation : null;\n    }\n    // setPostTranslationHandler\n    function setPostTranslationHandler(handler) {\n        _postTranslation = handler;\n        _context.postTranslation = handler;\n    }\n    // getMissingHandler\n    function getMissingHandler() {\n        return _missing;\n    }\n    // setMissingHandler\n    function setMissingHandler(handler) {\n        if (handler !== null) {\n            _runtimeMissing = defineCoreMissingHandler(handler);\n        }\n        _missing = handler;\n        _context.missing = _runtimeMissing;\n    }\n    function isResolvedTranslateMessage(type, arg // eslint-disable-line @typescript-eslint/no-explicit-any\n    ) {\n        return type !== 'translate' || !arg.resolvedMessage;\n    }\n    const wrapWithDeps = (fn, argumentParser, warnType, fallbackSuccess, fallbackFail, successCondition) => {\n        trackReactivityValues(); // track reactive dependency\n        // NOTE: experimental !!\n        let ret;\n        try {\n            if ((process.env.NODE_ENV !== 'production') || __INTLIFY_PROD_DEVTOOLS__) {\n                setAdditionalMeta(getMetaInfo());\n            }\n            if (!_isGlobal) {\n                _context.fallbackContext = __root\n                    ? getFallbackContext()\n                    : undefined;\n            }\n            ret = fn(_context);\n        }\n        finally {\n            if ((process.env.NODE_ENV !== 'production') || __INTLIFY_PROD_DEVTOOLS__) {\n                setAdditionalMeta(null);\n            }\n            if (!_isGlobal) {\n                _context.fallbackContext = undefined;\n            }\n        }\n        if ((warnType !== 'translate exists' && // for not `te` (e.g `t`)\n            isNumber(ret) &&\n            ret === NOT_REOSLVED) ||\n            (warnType === 'translate exists' && !ret) // for `te`\n        ) {\n            const [key, arg2] = argumentParser();\n            if ((process.env.NODE_ENV !== 'production') &&\n                __root &&\n                isString(key) &&\n                isResolvedTranslateMessage(warnType, arg2)) {\n                if (_fallbackRoot &&\n                    (isTranslateFallbackWarn(_fallbackWarn, key) ||\n                        isTranslateMissingWarn(_missingWarn, key))) {\n                    warn(getWarnMessage(I18nWarnCodes.FALLBACK_TO_ROOT, {\n                        key,\n                        type: warnType\n                    }));\n                }\n                // for vue-devtools timeline event\n                if ((process.env.NODE_ENV !== 'production')) {\n                    const { __v_emitter: emitter } = _context;\n                    if (emitter && _fallbackRoot) {\n                        emitter.emit(\"fallback\" /* VueDevToolsTimelineEvents.FALBACK */, {\n                            type: warnType,\n                            key,\n                            to: 'global',\n                            groupId: `${warnType}:${key}`\n                        });\n                    }\n                }\n            }\n            return __root && _fallbackRoot\n                ? fallbackSuccess(__root)\n                : fallbackFail(key);\n        }\n        else if (successCondition(ret)) {\n            return ret;\n        }\n        else {\n            /* istanbul ignore next */\n            throw createI18nError(I18nErrorCodes.UNEXPECTED_RETURN_TYPE);\n        }\n    };\n    // t\n    function t(...args) {\n        return wrapWithDeps(context => Reflect.apply(translate, null, [context, ...args]), () => parseTranslateArgs(...args), 'translate', root => Reflect.apply(root.t, root, [...args]), key => key, val => isString(val));\n    }\n    // rt\n    function rt(...args) {\n        const [arg1, arg2, arg3] = args;\n        if (arg3 && !isObject(arg3)) {\n            throw createI18nError(I18nErrorCodes.INVALID_ARGUMENT);\n        }\n        return t(...[arg1, arg2, assign({ resolvedMessage: true }, arg3 || {})]);\n    }\n    // d\n    function d(...args) {\n        return wrapWithDeps(context => Reflect.apply(datetime, null, [context, ...args]), () => parseDateTimeArgs(...args), 'datetime format', root => Reflect.apply(root.d, root, [...args]), () => MISSING_RESOLVE_VALUE, val => isString(val));\n    }\n    // n\n    function n(...args) {\n        return wrapWithDeps(context => Reflect.apply(number, null, [context, ...args]), () => parseNumberArgs(...args), 'number format', root => Reflect.apply(root.n, root, [...args]), () => MISSING_RESOLVE_VALUE, val => isString(val));\n    }\n    // for custom processor\n    function normalize(values) {\n        return values.map(val => isString(val) || isNumber(val) || isBoolean(val)\n            ? createTextNode(String(val))\n            : val);\n    }\n    const interpolate = (val) => val;\n    const processor = {\n        normalize,\n        interpolate,\n        type: 'vnode'\n    };\n    // translateVNode, using for `i18n-t` component\n    function translateVNode(...args) {\n        return wrapWithDeps(context => {\n            let ret;\n            const _context = context;\n            try {\n                _context.processor = processor;\n                ret = Reflect.apply(translate, null, [_context, ...args]);\n            }\n            finally {\n                _context.processor = null;\n            }\n            return ret;\n        }, () => parseTranslateArgs(...args), 'translate', \n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        root => root[TranslateVNodeSymbol](...args), key => [createTextNode(key)], val => isArray(val));\n    }\n    // numberParts, using for `i18n-n` component\n    function numberParts(...args) {\n        return wrapWithDeps(context => Reflect.apply(number, null, [context, ...args]), () => parseNumberArgs(...args), 'number format', \n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        root => root[NumberPartsSymbol](...args), NOOP_RETURN_ARRAY, val => isString(val) || isArray(val));\n    }\n    // datetimeParts, using for `i18n-d` component\n    function datetimeParts(...args) {\n        return wrapWithDeps(context => Reflect.apply(datetime, null, [context, ...args]), () => parseDateTimeArgs(...args), 'datetime format', \n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        root => root[DatetimePartsSymbol](...args), NOOP_RETURN_ARRAY, val => isString(val) || isArray(val));\n    }\n    function setPluralRules(rules) {\n        _pluralRules = rules;\n        _context.pluralRules = _pluralRules;\n    }\n    // te\n    function te(key, locale) {\n        return wrapWithDeps(() => {\n            if (!key) {\n                return false;\n            }\n            const targetLocale = isString(locale) ? locale : _locale.value;\n            const message = getLocaleMessage(targetLocale);\n            const resolved = _context.messageResolver(message, key);\n            return !translateExistCompatible\n                ? isMessageAST(resolved) ||\n                    isMessageFunction(resolved) ||\n                    isString(resolved)\n                : resolved != null;\n        }, () => [key], 'translate exists', root => {\n            return Reflect.apply(root.te, root, [key, locale]);\n        }, NOOP_RETURN_FALSE, val => isBoolean(val));\n    }\n    function resolveMessages(key) {\n        let messages = null;\n        const locales = fallbackWithLocaleChain(_context, _fallbackLocale.value, _locale.value);\n        for (let i = 0; i < locales.length; i++) {\n            const targetLocaleMessages = _messages.value[locales[i]] || {};\n            const messageValue = _context.messageResolver(targetLocaleMessages, key);\n            if (messageValue != null) {\n                messages = messageValue;\n                break;\n            }\n        }\n        return messages;\n    }\n    // tm\n    function tm(key) {\n        const messages = resolveMessages(key);\n        // prettier-ignore\n        return messages != null\n            ? messages\n            : __root\n                ? __root.tm(key) || {}\n                : {};\n    }\n    // getLocaleMessage\n    function getLocaleMessage(locale) {\n        return (_messages.value[locale] || {});\n    }\n    // setLocaleMessage\n    function setLocaleMessage(locale, message) {\n        if (flatJson) {\n            const _message = { [locale]: message };\n            for (const key in _message) {\n                if (hasOwn(_message, key)) {\n                    handleFlatJson(_message[key]);\n                }\n            }\n            message = _message[locale];\n        }\n        _messages.value[locale] = message;\n        _context.messages = _messages.value;\n    }\n    // mergeLocaleMessage\n    function mergeLocaleMessage(locale, message) {\n        _messages.value[locale] = _messages.value[locale] || {};\n        const _message = { [locale]: message };\n        if (flatJson) {\n            for (const key in _message) {\n                if (hasOwn(_message, key)) {\n                    handleFlatJson(_message[key]);\n                }\n            }\n        }\n        message = _message[locale];\n        deepCopy(message, _messages.value[locale]);\n        _context.messages = _messages.value;\n    }\n    // getDateTimeFormat\n    function getDateTimeFormat(locale) {\n        return _datetimeFormats.value[locale] || {};\n    }\n    // setDateTimeFormat\n    function setDateTimeFormat(locale, format) {\n        _datetimeFormats.value[locale] = format;\n        _context.datetimeFormats = _datetimeFormats.value;\n        clearDateTimeFormat(_context, locale, format);\n    }\n    // mergeDateTimeFormat\n    function mergeDateTimeFormat(locale, format) {\n        _datetimeFormats.value[locale] = assign(_datetimeFormats.value[locale] || {}, format);\n        _context.datetimeFormats = _datetimeFormats.value;\n        clearDateTimeFormat(_context, locale, format);\n    }\n    // getNumberFormat\n    function getNumberFormat(locale) {\n        return _numberFormats.value[locale] || {};\n    }\n    // setNumberFormat\n    function setNumberFormat(locale, format) {\n        _numberFormats.value[locale] = format;\n        _context.numberFormats = _numberFormats.value;\n        clearNumberFormat(_context, locale, format);\n    }\n    // mergeNumberFormat\n    function mergeNumberFormat(locale, format) {\n        _numberFormats.value[locale] = assign(_numberFormats.value[locale] || {}, format);\n        _context.numberFormats = _numberFormats.value;\n        clearNumberFormat(_context, locale, format);\n    }\n    // for debug\n    composerID++;\n    // watch root locale & fallbackLocale\n    if (__root && inBrowser) {\n        watch(__root.locale, (val) => {\n            if (_inheritLocale) {\n                _locale.value = val;\n                _context.locale = val;\n                updateFallbackLocale(_context, _locale.value, _fallbackLocale.value);\n            }\n        });\n        watch(__root.fallbackLocale, (val) => {\n            if (_inheritLocale) {\n                _fallbackLocale.value = val;\n                _context.fallbackLocale = val;\n                updateFallbackLocale(_context, _locale.value, _fallbackLocale.value);\n            }\n        });\n    }\n    // define basic composition API!\n    const composer = {\n        id: composerID,\n        locale,\n        fallbackLocale,\n        get inheritLocale() {\n            return _inheritLocale;\n        },\n        set inheritLocale(val) {\n            _inheritLocale = val;\n            if (val && __root) {\n                _locale.value = __root.locale.value;\n                _fallbackLocale.value = __root.fallbackLocale.value;\n                updateFallbackLocale(_context, _locale.value, _fallbackLocale.value);\n            }\n        },\n        get availableLocales() {\n            return Object.keys(_messages.value).sort();\n        },\n        messages,\n        get modifiers() {\n            return _modifiers;\n        },\n        get pluralRules() {\n            return _pluralRules || {};\n        },\n        get isGlobal() {\n            return _isGlobal;\n        },\n        get missingWarn() {\n            return _missingWarn;\n        },\n        set missingWarn(val) {\n            _missingWarn = val;\n            _context.missingWarn = _missingWarn;\n        },\n        get fallbackWarn() {\n            return _fallbackWarn;\n        },\n        set fallbackWarn(val) {\n            _fallbackWarn = val;\n            _context.fallbackWarn = _fallbackWarn;\n        },\n        get fallbackRoot() {\n            return _fallbackRoot;\n        },\n        set fallbackRoot(val) {\n            _fallbackRoot = val;\n        },\n        get fallbackFormat() {\n            return _fallbackFormat;\n        },\n        set fallbackFormat(val) {\n            _fallbackFormat = val;\n            _context.fallbackFormat = _fallbackFormat;\n        },\n        get warnHtmlMessage() {\n            return _warnHtmlMessage;\n        },\n        set warnHtmlMessage(val) {\n            _warnHtmlMessage = val;\n            _context.warnHtmlMessage = val;\n        },\n        get escapeParameter() {\n            return _escapeParameter;\n        },\n        set escapeParameter(val) {\n            _escapeParameter = val;\n            _context.escapeParameter = val;\n        },\n        t,\n        getLocaleMessage,\n        setLocaleMessage,\n        mergeLocaleMessage,\n        getPostTranslationHandler,\n        setPostTranslationHandler,\n        getMissingHandler,\n        setMissingHandler,\n        [SetPluralRulesSymbol]: setPluralRules\n    };\n    {\n        composer.datetimeFormats = datetimeFormats;\n        composer.numberFormats = numberFormats;\n        composer.rt = rt;\n        composer.te = te;\n        composer.tm = tm;\n        composer.d = d;\n        composer.n = n;\n        composer.getDateTimeFormat = getDateTimeFormat;\n        composer.setDateTimeFormat = setDateTimeFormat;\n        composer.mergeDateTimeFormat = mergeDateTimeFormat;\n        composer.getNumberFormat = getNumberFormat;\n        composer.setNumberFormat = setNumberFormat;\n        composer.mergeNumberFormat = mergeNumberFormat;\n        composer[InejctWithOptionSymbol] = __injectWithOption;\n        composer[TranslateVNodeSymbol] = translateVNode;\n        composer[DatetimePartsSymbol] = datetimeParts;\n        composer[NumberPartsSymbol] = numberParts;\n    }\n    // for vue-devtools timeline event\n    if ((process.env.NODE_ENV !== 'production')) {\n        composer[EnableEmitter] = (emitter) => {\n            _context.__v_emitter = emitter;\n        };\n        composer[DisableEmitter] = () => {\n            _context.__v_emitter = undefined;\n        };\n    }\n    return composer;\n}\n/* eslint-enable @typescript-eslint/no-explicit-any */\n\n/* eslint-disable @typescript-eslint/no-explicit-any */\n/**\n * Convert to I18n Composer Options from VueI18n Options\n *\n * @internal\n */\nfunction convertComposerOptions(options) {\n    const locale = isString(options.locale) ? options.locale : DEFAULT_LOCALE;\n    const fallbackLocale = isString(options.fallbackLocale) ||\n        isArray(options.fallbackLocale) ||\n        isPlainObject(options.fallbackLocale) ||\n        options.fallbackLocale === false\n        ? options.fallbackLocale\n        : locale;\n    const missing = isFunction(options.missing) ? options.missing : undefined;\n    const missingWarn = isBoolean(options.silentTranslationWarn) ||\n        isRegExp(options.silentTranslationWarn)\n        ? !options.silentTranslationWarn\n        : true;\n    const fallbackWarn = isBoolean(options.silentFallbackWarn) ||\n        isRegExp(options.silentFallbackWarn)\n        ? !options.silentFallbackWarn\n        : true;\n    const fallbackRoot = isBoolean(options.fallbackRoot)\n        ? options.fallbackRoot\n        : true;\n    const fallbackFormat = !!options.formatFallbackMessages;\n    const modifiers = isPlainObject(options.modifiers) ? options.modifiers : {};\n    const pluralizationRules = options.pluralizationRules;\n    const postTranslation = isFunction(options.postTranslation)\n        ? options.postTranslation\n        : undefined;\n    const warnHtmlMessage = isString(options.warnHtmlInMessage)\n        ? options.warnHtmlInMessage !== 'off'\n        : true;\n    const escapeParameter = !!options.escapeParameterHtml;\n    const inheritLocale = isBoolean(options.sync) ? options.sync : true;\n    if ((process.env.NODE_ENV !== 'production') && options.formatter) {\n        warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_FORMATTER));\n    }\n    if ((process.env.NODE_ENV !== 'production') && options.preserveDirectiveContent) {\n        warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_PRESERVE_DIRECTIVE));\n    }\n    let messages = options.messages;\n    if (isPlainObject(options.sharedMessages)) {\n        const sharedMessages = options.sharedMessages;\n        const locales = Object.keys(sharedMessages);\n        messages = locales.reduce((messages, locale) => {\n            const message = messages[locale] || (messages[locale] = {});\n            assign(message, sharedMessages[locale]);\n            return messages;\n        }, (messages || {}));\n    }\n    const { __i18n, __root, __injectWithOption } = options;\n    const datetimeFormats = options.datetimeFormats;\n    const numberFormats = options.numberFormats;\n    const flatJson = options.flatJson;\n    const translateExistCompatible = options\n        .translateExistCompatible;\n    return {\n        locale,\n        fallbackLocale,\n        messages,\n        flatJson,\n        datetimeFormats,\n        numberFormats,\n        missing,\n        missingWarn,\n        fallbackWarn,\n        fallbackRoot,\n        fallbackFormat,\n        modifiers,\n        pluralRules: pluralizationRules,\n        postTranslation,\n        warnHtmlMessage,\n        escapeParameter,\n        messageResolver: options.messageResolver,\n        inheritLocale,\n        translateExistCompatible,\n        __i18n,\n        __root,\n        __injectWithOption\n    };\n}\n/**\n * create VueI18n interface factory\n *\n * @internal\n */\n// eslint-disable-next-line @typescript-eslint/explicit-module-boundary-types\nfunction createVueI18n(options = {}, VueI18nLegacy) {\n    {\n        const composer = createComposer(convertComposerOptions(options));\n        const { __extender } = options;\n        // defines VueI18n\n        const vueI18n = {\n            // id\n            id: composer.id,\n            // locale\n            get locale() {\n                return composer.locale.value;\n            },\n            set locale(val) {\n                composer.locale.value = val;\n            },\n            // fallbackLocale\n            get fallbackLocale() {\n                return composer.fallbackLocale.value;\n            },\n            set fallbackLocale(val) {\n                composer.fallbackLocale.value = val;\n            },\n            // messages\n            get messages() {\n                return composer.messages.value;\n            },\n            // datetimeFormats\n            get datetimeFormats() {\n                return composer.datetimeFormats.value;\n            },\n            // numberFormats\n            get numberFormats() {\n                return composer.numberFormats.value;\n            },\n            // availableLocales\n            get availableLocales() {\n                return composer.availableLocales;\n            },\n            // formatter\n            get formatter() {\n                (process.env.NODE_ENV !== 'production') && warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_FORMATTER));\n                // dummy\n                return {\n                    interpolate() {\n                        return [];\n                    }\n                };\n            },\n            set formatter(val) {\n                (process.env.NODE_ENV !== 'production') && warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_FORMATTER));\n            },\n            // missing\n            get missing() {\n                return composer.getMissingHandler();\n            },\n            set missing(handler) {\n                composer.setMissingHandler(handler);\n            },\n            // silentTranslationWarn\n            get silentTranslationWarn() {\n                return isBoolean(composer.missingWarn)\n                    ? !composer.missingWarn\n                    : composer.missingWarn;\n            },\n            set silentTranslationWarn(val) {\n                composer.missingWarn = isBoolean(val) ? !val : val;\n            },\n            // silentFallbackWarn\n            get silentFallbackWarn() {\n                return isBoolean(composer.fallbackWarn)\n                    ? !composer.fallbackWarn\n                    : composer.fallbackWarn;\n            },\n            set silentFallbackWarn(val) {\n                composer.fallbackWarn = isBoolean(val) ? !val : val;\n            },\n            // modifiers\n            get modifiers() {\n                return composer.modifiers;\n            },\n            // formatFallbackMessages\n            get formatFallbackMessages() {\n                return composer.fallbackFormat;\n            },\n            set formatFallbackMessages(val) {\n                composer.fallbackFormat = val;\n            },\n            // postTranslation\n            get postTranslation() {\n                return composer.getPostTranslationHandler();\n            },\n            set postTranslation(handler) {\n                composer.setPostTranslationHandler(handler);\n            },\n            // sync\n            get sync() {\n                return composer.inheritLocale;\n            },\n            set sync(val) {\n                composer.inheritLocale = val;\n            },\n            // warnInHtmlMessage\n            get warnHtmlInMessage() {\n                return composer.warnHtmlMessage ? 'warn' : 'off';\n            },\n            set warnHtmlInMessage(val) {\n                composer.warnHtmlMessage = val !== 'off';\n            },\n            // escapeParameterHtml\n            get escapeParameterHtml() {\n                return composer.escapeParameter;\n            },\n            set escapeParameterHtml(val) {\n                composer.escapeParameter = val;\n            },\n            // preserveDirectiveContent\n            get preserveDirectiveContent() {\n                (process.env.NODE_ENV !== 'production') &&\n                    warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_PRESERVE_DIRECTIVE));\n                return true;\n            },\n            set preserveDirectiveContent(val) {\n                (process.env.NODE_ENV !== 'production') &&\n                    warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_PRESERVE_DIRECTIVE));\n            },\n            // pluralizationRules\n            get pluralizationRules() {\n                return composer.pluralRules || {};\n            },\n            // for internal\n            __composer: composer,\n            // t\n            t(...args) {\n                const [arg1, arg2, arg3] = args;\n                const options = {};\n                let list = null;\n                let named = null;\n                if (!isString(arg1)) {\n                    throw createI18nError(I18nErrorCodes.INVALID_ARGUMENT);\n                }\n                const key = arg1;\n                if (isString(arg2)) {\n                    options.locale = arg2;\n                }\n                else if (isArray(arg2)) {\n                    list = arg2;\n                }\n                else if (isPlainObject(arg2)) {\n                    named = arg2;\n                }\n                if (isArray(arg3)) {\n                    list = arg3;\n                }\n                else if (isPlainObject(arg3)) {\n                    named = arg3;\n                }\n                // return composer.t(key, (list || named || {}) as any, options)\n                return Reflect.apply(composer.t, composer, [\n                    key,\n                    (list || named || {}),\n                    options\n                ]);\n            },\n            rt(...args) {\n                return Reflect.apply(composer.rt, composer, [...args]);\n            },\n            // tc\n            tc(...args) {\n                const [arg1, arg2, arg3] = args;\n                const options = { plural: 1 };\n                let list = null;\n                let named = null;\n                if (!isString(arg1)) {\n                    throw createI18nError(I18nErrorCodes.INVALID_ARGUMENT);\n                }\n                const key = arg1;\n                if (isString(arg2)) {\n                    options.locale = arg2;\n                }\n                else if (isNumber(arg2)) {\n                    options.plural = arg2;\n                }\n                else if (isArray(arg2)) {\n                    list = arg2;\n                }\n                else if (isPlainObject(arg2)) {\n                    named = arg2;\n                }\n                if (isString(arg3)) {\n                    options.locale = arg3;\n                }\n                else if (isArray(arg3)) {\n                    list = arg3;\n                }\n                else if (isPlainObject(arg3)) {\n                    named = arg3;\n                }\n                // return composer.t(key, (list || named || {}) as any, options)\n                return Reflect.apply(composer.t, composer, [\n                    key,\n                    (list || named || {}),\n                    options\n                ]);\n            },\n            // te\n            te(key, locale) {\n                return composer.te(key, locale);\n            },\n            // tm\n            tm(key) {\n                return composer.tm(key);\n            },\n            // getLocaleMessage\n            getLocaleMessage(locale) {\n                return composer.getLocaleMessage(locale);\n            },\n            // setLocaleMessage\n            setLocaleMessage(locale, message) {\n                composer.setLocaleMessage(locale, message);\n            },\n            // mergeLocaleMessage\n            mergeLocaleMessage(locale, message) {\n                composer.mergeLocaleMessage(locale, message);\n            },\n            // d\n            d(...args) {\n                return Reflect.apply(composer.d, composer, [...args]);\n            },\n            // getDateTimeFormat\n            getDateTimeFormat(locale) {\n                return composer.getDateTimeFormat(locale);\n            },\n            // setDateTimeFormat\n            setDateTimeFormat(locale, format) {\n                composer.setDateTimeFormat(locale, format);\n            },\n            // mergeDateTimeFormat\n            mergeDateTimeFormat(locale, format) {\n                composer.mergeDateTimeFormat(locale, format);\n            },\n            // n\n            n(...args) {\n                return Reflect.apply(composer.n, composer, [...args]);\n            },\n            // getNumberFormat\n            getNumberFormat(locale) {\n                return composer.getNumberFormat(locale);\n            },\n            // setNumberFormat\n            setNumberFormat(locale, format) {\n                composer.setNumberFormat(locale, format);\n            },\n            // mergeNumberFormat\n            mergeNumberFormat(locale, format) {\n                composer.mergeNumberFormat(locale, format);\n            },\n            // getChoiceIndex\n            // eslint-disable-next-line @typescript-eslint/no-unused-vars\n            getChoiceIndex(choice, choicesLength) {\n                (process.env.NODE_ENV !== 'production') &&\n                    warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_GET_CHOICE_INDEX));\n                return -1;\n            }\n        };\n        vueI18n.__extender = __extender;\n        // for vue-devtools timeline event\n        if ((process.env.NODE_ENV !== 'production')) {\n            vueI18n.__enableEmitter = (emitter) => {\n                const __composer = composer;\n                __composer[EnableEmitter] && __composer[EnableEmitter](emitter);\n            };\n            vueI18n.__disableEmitter = () => {\n                const __composer = composer;\n                __composer[DisableEmitter] && __composer[DisableEmitter]();\n            };\n        }\n        return vueI18n;\n    }\n}\n/* eslint-enable @typescript-eslint/no-explicit-any */\n\nconst baseFormatProps = {\n    tag: {\n        type: [String, Object]\n    },\n    locale: {\n        type: String\n    },\n    scope: {\n        type: String,\n        // NOTE: avoid https://github.com/microsoft/rushstack/issues/1050\n        validator: (val /* ComponentI18nScope */) => val === 'parent' || val === 'global',\n        default: 'parent' /* ComponentI18nScope */\n    },\n    i18n: {\n        type: Object\n    }\n};\n\nfunction getInterpolateArg(\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\n{ slots }, // SetupContext,\nkeys) {\n    if (keys.length === 1 && keys[0] === 'default') {\n        // default slot with list\n        const ret = slots.default ? slots.default() : [];\n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        return ret.reduce((slot, current) => {\n            return [\n                ...slot,\n                // prettier-ignore\n                ...(current.type === Fragment ? current.children : [current]\n                    )\n            ];\n        }, []);\n    }\n    else {\n        // named slots\n        return keys.reduce((arg, key) => {\n            const slot = slots[key];\n            if (slot) {\n                arg[key] = slot();\n            }\n            return arg;\n        }, {});\n    }\n}\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nfunction getFragmentableTag(tag) {\n    return Fragment ;\n}\n\nconst TranslationImpl = /*#__PURE__*/ defineComponent({\n    /* eslint-disable */\n    name: 'i18n-t',\n    props: assign({\n        keypath: {\n            type: String,\n            required: true\n        },\n        plural: {\n            type: [Number, String],\n            // eslint-disable-next-line @typescript-eslint/no-explicit-any\n            validator: (val) => isNumber(val) || !isNaN(val)\n        }\n    }, baseFormatProps),\n    /* eslint-enable */\n    // eslint-disable-next-line @typescript-eslint/no-explicit-any\n    setup(props, context) {\n        const { slots, attrs } = context;\n        // NOTE: avoid https://github.com/microsoft/rushstack/issues/1050\n        const i18n = props.i18n ||\n            useI18n({\n                useScope: props.scope,\n                __useComponent: true\n            });\n        return () => {\n            const keys = Object.keys(slots).filter(key => key !== '_');\n            const options = {};\n            if (props.locale) {\n                options.locale = props.locale;\n            }\n            if (props.plural !== undefined) {\n                options.plural = isString(props.plural) ? +props.plural : props.plural;\n            }\n            const arg = getInterpolateArg(context, keys);\n            // eslint-disable-next-line @typescript-eslint/no-explicit-any\n            const children = i18n[TranslateVNodeSymbol](props.keypath, arg, options);\n            const assignedAttrs = assign({}, attrs);\n            const tag = isString(props.tag) || isObject(props.tag)\n                ? props.tag\n                : getFragmentableTag();\n            return h(tag, assignedAttrs, children);\n        };\n    }\n});\n/**\n * export the public type for h/tsx inference\n * also to avoid inline import() in generated d.ts files\n */\n/**\n * Translation Component\n *\n * @remarks\n * See the following items for property about details\n *\n * @VueI18nSee [TranslationProps](component#translationprops)\n * @VueI18nSee [BaseFormatProps](component#baseformatprops)\n * @VueI18nSee [Component Interpolation](../guide/advanced/component)\n *\n * @example\n * ```html\n * <div id=\"app\">\n *   <!-- ... -->\n *   <i18n keypath=\"term\" tag=\"label\" for=\"tos\">\n *     <a :href=\"url\" target=\"_blank\">{{ $t('tos') }}</a>\n *   </i18n>\n *   <!-- ... -->\n * </div>\n * ```\n * ```js\n * import { createApp } from 'vue'\n * import { createI18n } from 'vue-i18n'\n *\n * const messages = {\n *   en: {\n *     tos: 'Term of Service',\n *     term: 'I accept xxx {0}.'\n *   },\n *   ja: {\n *     tos: '利用規約',\n *     term: '私は xxx の{0}に同意します。'\n *   }\n * }\n *\n * const i18n = createI18n({\n *   locale: 'en',\n *   messages\n * })\n *\n * const app = createApp({\n *   data: {\n *     url: '/term'\n *   }\n * }).use(i18n).mount('#app')\n * ```\n *\n * @VueI18nComponent\n */\nconst Translation = TranslationImpl;\nconst I18nT = Translation;\n\nfunction isVNode(target) {\n    return isArray(target) && !isString(target[0]);\n}\nfunction renderFormatter(props, context, slotKeys, partFormatter) {\n    const { slots, attrs } = context;\n    return () => {\n        const options = { part: true };\n        let overrides = {};\n        if (props.locale) {\n            options.locale = props.locale;\n        }\n        if (isString(props.format)) {\n            options.key = props.format;\n        }\n        else if (isObject(props.format)) {\n            // eslint-disable-next-line @typescript-eslint/no-explicit-any\n            if (isString(props.format.key)) {\n                // eslint-disable-next-line @typescript-eslint/no-explicit-any\n                options.key = props.format.key;\n            }\n            // Filter out number format options only\n            overrides = Object.keys(props.format).reduce((options, prop) => {\n                return slotKeys.includes(prop)\n                    ? assign({}, options, { [prop]: props.format[prop] }) // eslint-disable-line @typescript-eslint/no-explicit-any\n                    : options;\n            }, {});\n        }\n        const parts = partFormatter(...[props.value, options, overrides]);\n        let children = [options.key];\n        if (isArray(parts)) {\n            children = parts.map((part, index) => {\n                const slot = slots[part.type];\n                const node = slot\n                    ? slot({ [part.type]: part.value, index, parts })\n                    : [part.value];\n                if (isVNode(node)) {\n                    node[0].key = `${part.type}-${index}`;\n                }\n                return node;\n            });\n        }\n        else if (isString(parts)) {\n            children = [parts];\n        }\n        const assignedAttrs = assign({}, attrs);\n        const tag = isString(props.tag) || isObject(props.tag)\n            ? props.tag\n            : getFragmentableTag();\n        return h(tag, assignedAttrs, children);\n    };\n}\n\nconst NumberFormatImpl = /*#__PURE__*/ defineComponent({\n    /* eslint-disable */\n    name: 'i18n-n',\n    props: assign({\n        value: {\n            type: Number,\n            required: true\n        },\n        format: {\n            type: [String, Object]\n        }\n    }, baseFormatProps),\n    /* eslint-enable */\n    // eslint-disable-next-line @typescript-eslint/no-explicit-any\n    setup(props, context) {\n        const i18n = props.i18n ||\n            useI18n({\n                useScope: props.scope,\n                __useComponent: true\n            });\n        return renderFormatter(props, context, NUMBER_FORMAT_OPTIONS_KEYS, (...args) => \n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        i18n[NumberPartsSymbol](...args));\n    }\n});\n/**\n * export the public type for h/tsx inference\n * also to avoid inline import() in generated d.ts files\n */\n/**\n * Number Format Component\n *\n * @remarks\n * See the following items for property about details\n *\n * @VueI18nSee [FormattableProps](component#formattableprops)\n * @VueI18nSee [BaseFormatProps](component#baseformatprops)\n * @VueI18nSee [Custom Formatting](../guide/essentials/number#custom-formatting)\n *\n * @VueI18nDanger\n * Not supported IE, due to no support `Intl.NumberFormat#formatToParts` in [IE](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Intl/NumberFormat/formatToParts)\n *\n * If you want to use it, you need to use [polyfill](https://github.com/formatjs/formatjs/tree/main/packages/intl-numberformat)\n *\n * @VueI18nComponent\n */\nconst NumberFormat = NumberFormatImpl;\nconst I18nN = NumberFormat;\n\nconst DatetimeFormatImpl = /* #__PURE__*/ defineComponent({\n    /* eslint-disable */\n    name: 'i18n-d',\n    props: assign({\n        value: {\n            type: [Number, Date],\n            required: true\n        },\n        format: {\n            type: [String, Object]\n        }\n    }, baseFormatProps),\n    /* eslint-enable */\n    // eslint-disable-next-line @typescript-eslint/no-explicit-any\n    setup(props, context) {\n        const i18n = props.i18n ||\n            useI18n({\n                useScope: props.scope,\n                __useComponent: true\n            });\n        return renderFormatter(props, context, DATETIME_FORMAT_OPTIONS_KEYS, (...args) => \n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        i18n[DatetimePartsSymbol](...args));\n    }\n});\n/**\n * Datetime Format Component\n *\n * @remarks\n * See the following items for property about details\n *\n * @VueI18nSee [FormattableProps](component#formattableprops)\n * @VueI18nSee [BaseFormatProps](component#baseformatprops)\n * @VueI18nSee [Custom Formatting](../guide/essentials/datetime#custom-formatting)\n *\n * @VueI18nDanger\n * Not supported IE, due to no support `Intl.DateTimeFormat#formatToParts` in [IE](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Intl/DateTimeFormat/formatToParts)\n *\n * If you want to use it, you need to use [polyfill](https://github.com/formatjs/formatjs/tree/main/packages/intl-datetimeformat)\n *\n * @VueI18nComponent\n */\nconst DatetimeFormat = DatetimeFormatImpl;\nconst I18nD = DatetimeFormat;\n\nfunction getComposer$2(i18n, instance) {\n    const i18nInternal = i18n;\n    if (i18n.mode === 'composition') {\n        return (i18nInternal.__getInstance(instance) || i18n.global);\n    }\n    else {\n        const vueI18n = i18nInternal.__getInstance(instance);\n        return vueI18n != null\n            ? vueI18n.__composer\n            : i18n.global.__composer;\n    }\n}\nfunction vTDirective(i18n) {\n    const _process = (binding) => {\n        const { instance, modifiers, value } = binding;\n        /* istanbul ignore if */\n        if (!instance || !instance.$) {\n            throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);\n        }\n        const composer = getComposer$2(i18n, instance.$);\n        if ((process.env.NODE_ENV !== 'production') && modifiers.preserve) {\n            warn(getWarnMessage(I18nWarnCodes.NOT_SUPPORTED_PRESERVE));\n        }\n        const parsedValue = parseValue(value);\n        return [\n            Reflect.apply(composer.t, composer, [...makeParams(parsedValue)]),\n            composer\n        ];\n    };\n    const register = (el, binding) => {\n        const [textContent, composer] = _process(binding);\n        if (inBrowser && i18n.global === composer) {\n            // global scope only\n            el.__i18nWatcher = watch(composer.locale, () => {\n                binding.instance && binding.instance.$forceUpdate();\n            });\n        }\n        el.__composer = composer;\n        el.textContent = textContent;\n    };\n    const unregister = (el) => {\n        if (inBrowser && el.__i18nWatcher) {\n            el.__i18nWatcher();\n            el.__i18nWatcher = undefined;\n            delete el.__i18nWatcher;\n        }\n        if (el.__composer) {\n            el.__composer = undefined;\n            delete el.__composer;\n        }\n    };\n    const update = (el, { value }) => {\n        if (el.__composer) {\n            const composer = el.__composer;\n            const parsedValue = parseValue(value);\n            el.textContent = Reflect.apply(composer.t, composer, [\n                ...makeParams(parsedValue)\n            ]);\n        }\n    };\n    const getSSRProps = (binding) => {\n        const [textContent] = _process(binding);\n        return { textContent };\n    };\n    return {\n        created: register,\n        unmounted: unregister,\n        beforeUpdate: update,\n        getSSRProps\n    };\n}\nfunction parseValue(value) {\n    if (isString(value)) {\n        return { path: value };\n    }\n    else if (isPlainObject(value)) {\n        if (!('path' in value)) {\n            throw createI18nError(I18nErrorCodes.REQUIRED_VALUE, 'path');\n        }\n        return value;\n    }\n    else {\n        throw createI18nError(I18nErrorCodes.INVALID_VALUE);\n    }\n}\nfunction makeParams(value) {\n    const { path, locale, args, choice, plural } = value;\n    const options = {};\n    const named = args || {};\n    if (isString(locale)) {\n        options.locale = locale;\n    }\n    if (isNumber(choice)) {\n        options.plural = choice;\n    }\n    if (isNumber(plural)) {\n        options.plural = plural;\n    }\n    return [path, named, options];\n}\n\nfunction apply(app, i18n, ...options) {\n    const pluginOptions = isPlainObject(options[0])\n        ? options[0]\n        : {};\n    const useI18nComponentName = !!pluginOptions.useI18nComponentName;\n    const globalInstall = isBoolean(pluginOptions.globalInstall)\n        ? pluginOptions.globalInstall\n        : true;\n    if ((process.env.NODE_ENV !== 'production') && globalInstall && useI18nComponentName) {\n        warn(getWarnMessage(I18nWarnCodes.COMPONENT_NAME_LEGACY_COMPATIBLE, {\n            name: Translation.name\n        }));\n    }\n    if (globalInstall) {\n        [!useI18nComponentName ? Translation.name : 'i18n', 'I18nT'].forEach(name => app.component(name, Translation));\n        [NumberFormat.name, 'I18nN'].forEach(name => app.component(name, NumberFormat));\n        [DatetimeFormat.name, 'I18nD'].forEach(name => app.component(name, DatetimeFormat));\n    }\n    // install directive\n    {\n        app.directive('t', vTDirective(i18n));\n    }\n}\n\nconst VueDevToolsLabels = {\n    [\"vue-devtools-plugin-vue-i18n\" /* VueDevToolsIDs.PLUGIN */]: 'Vue I18n devtools',\n    [\"vue-i18n-resource-inspector\" /* VueDevToolsIDs.CUSTOM_INSPECTOR */]: 'I18n Resources',\n    [\"vue-i18n-timeline\" /* VueDevToolsIDs.TIMELINE */]: 'Vue I18n'\n};\nconst VueDevToolsPlaceholders = {\n    [\"vue-i18n-resource-inspector\" /* VueDevToolsIDs.CUSTOM_INSPECTOR */]: 'Search for scopes ...'\n};\nconst VueDevToolsTimelineColors = {\n    [\"vue-i18n-timeline\" /* VueDevToolsIDs.TIMELINE */]: 0xffcd19\n};\n\nconst VUE_I18N_COMPONENT_TYPES = 'vue-i18n: composer properties';\nlet devtoolsApi;\nasync function enableDevTools(app, i18n) {\n    return new Promise((resolve, reject) => {\n        try {\n            setupDevtoolsPlugin({\n                id: \"vue-devtools-plugin-vue-i18n\" /* VueDevToolsIDs.PLUGIN */,\n                label: VueDevToolsLabels[\"vue-devtools-plugin-vue-i18n\" /* VueDevToolsIDs.PLUGIN */],\n                packageName: 'vue-i18n',\n                homepage: 'https://vue-i18n.intlify.dev',\n                logo: 'https://vue-i18n.intlify.dev/vue-i18n-devtools-logo.png',\n                componentStateTypes: [VUE_I18N_COMPONENT_TYPES],\n                app: app // eslint-disable-line @typescript-eslint/no-explicit-any\n            }, api => {\n                devtoolsApi = api;\n                api.on.visitComponentTree(({ componentInstance, treeNode }) => {\n                    updateComponentTreeTags(componentInstance, treeNode, i18n);\n                });\n                api.on.inspectComponent(({ componentInstance, instanceData }) => {\n                    if (componentInstance.vnode.el &&\n                        componentInstance.vnode.el.__VUE_I18N__ &&\n                        instanceData) {\n                        if (i18n.mode === 'legacy') {\n                            // ignore global scope on legacy mode\n                            if (componentInstance.vnode.el.__VUE_I18N__ !==\n                                i18n.global.__composer) {\n                                inspectComposer(instanceData, componentInstance.vnode.el.__VUE_I18N__);\n                            }\n                        }\n                        else {\n                            inspectComposer(instanceData, componentInstance.vnode.el.__VUE_I18N__);\n                        }\n                    }\n                });\n                api.addInspector({\n                    id: \"vue-i18n-resource-inspector\" /* VueDevToolsIDs.CUSTOM_INSPECTOR */,\n                    label: VueDevToolsLabels[\"vue-i18n-resource-inspector\" /* VueDevToolsIDs.CUSTOM_INSPECTOR */],\n                    icon: 'language',\n                    treeFilterPlaceholder: VueDevToolsPlaceholders[\"vue-i18n-resource-inspector\" /* VueDevToolsIDs.CUSTOM_INSPECTOR */]\n                });\n                api.on.getInspectorTree(payload => {\n                    if (payload.app === app &&\n                        payload.inspectorId === \"vue-i18n-resource-inspector\" /* VueDevToolsIDs.CUSTOM_INSPECTOR */) {\n                        registerScope(payload, i18n);\n                    }\n                });\n                const roots = new Map();\n                api.on.getInspectorState(async (payload) => {\n                    if (payload.app === app &&\n                        payload.inspectorId === \"vue-i18n-resource-inspector\" /* VueDevToolsIDs.CUSTOM_INSPECTOR */) {\n                        api.unhighlightElement();\n                        inspectScope(payload, i18n);\n                        if (payload.nodeId === 'global') {\n                            if (!roots.has(payload.app)) {\n                                const [root] = await api.getComponentInstances(payload.app);\n                                roots.set(payload.app, root);\n                            }\n                            api.highlightElement(roots.get(payload.app));\n                        }\n                        else {\n                            const instance = getComponentInstance(payload.nodeId, i18n);\n                            instance && api.highlightElement(instance);\n                        }\n                    }\n                });\n                api.on.editInspectorState(payload => {\n                    if (payload.app === app &&\n                        payload.inspectorId === \"vue-i18n-resource-inspector\" /* VueDevToolsIDs.CUSTOM_INSPECTOR */) {\n                        editScope(payload, i18n);\n                    }\n                });\n                api.addTimelineLayer({\n                    id: \"vue-i18n-timeline\" /* VueDevToolsIDs.TIMELINE */,\n                    label: VueDevToolsLabels[\"vue-i18n-timeline\" /* VueDevToolsIDs.TIMELINE */],\n                    color: VueDevToolsTimelineColors[\"vue-i18n-timeline\" /* VueDevToolsIDs.TIMELINE */]\n                });\n                resolve(true);\n            });\n        }\n        catch (e) {\n            console.error(e);\n            reject(false);\n        }\n    });\n}\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nfunction getI18nScopeLable(instance) {\n    return (instance.type.name ||\n        instance.type.displayName ||\n        instance.type.__file ||\n        'Anonymous');\n}\nfunction updateComponentTreeTags(instance, // eslint-disable-line @typescript-eslint/no-explicit-any\ntreeNode, i18n) {\n    // prettier-ignore\n    const global = i18n.mode === 'composition'\n        ? i18n.global\n        : i18n.global.__composer;\n    if (instance && instance.vnode.el && instance.vnode.el.__VUE_I18N__) {\n        // add custom tags local scope only\n        if (instance.vnode.el.__VUE_I18N__ !== global) {\n            const tag = {\n                label: `i18n (${getI18nScopeLable(instance)} Scope)`,\n                textColor: 0x000000,\n                backgroundColor: 0xffcd19\n            };\n            treeNode.tags.push(tag);\n        }\n    }\n}\nfunction inspectComposer(instanceData, composer) {\n    const type = VUE_I18N_COMPONENT_TYPES;\n    instanceData.state.push({\n        type,\n        key: 'locale',\n        editable: true,\n        value: composer.locale.value\n    });\n    instanceData.state.push({\n        type,\n        key: 'availableLocales',\n        editable: false,\n        value: composer.availableLocales\n    });\n    instanceData.state.push({\n        type,\n        key: 'fallbackLocale',\n        editable: true,\n        value: composer.fallbackLocale.value\n    });\n    instanceData.state.push({\n        type,\n        key: 'inheritLocale',\n        editable: true,\n        value: composer.inheritLocale\n    });\n    instanceData.state.push({\n        type,\n        key: 'messages',\n        editable: false,\n        value: getLocaleMessageValue(composer.messages.value)\n    });\n    {\n        instanceData.state.push({\n            type,\n            key: 'datetimeFormats',\n            editable: false,\n            value: composer.datetimeFormats.value\n        });\n        instanceData.state.push({\n            type,\n            key: 'numberFormats',\n            editable: false,\n            value: composer.numberFormats.value\n        });\n    }\n}\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nfunction getLocaleMessageValue(messages) {\n    const value = {};\n    Object.keys(messages).forEach((key) => {\n        const v = messages[key];\n        if (isFunction(v) && 'source' in v) {\n            value[key] = getMessageFunctionDetails(v);\n        }\n        else if (isMessageAST(v) && v.loc && v.loc.source) {\n            value[key] = v.loc.source;\n        }\n        else if (isObject(v)) {\n            value[key] = getLocaleMessageValue(v);\n        }\n        else {\n            value[key] = v;\n        }\n    });\n    return value;\n}\nconst ESC = {\n    '<': '&lt;',\n    '>': '&gt;',\n    '\"': '&quot;',\n    '&': '&amp;'\n};\nfunction escape(s) {\n    return s.replace(/[<>\"&]/g, escapeChar);\n}\nfunction escapeChar(a) {\n    return ESC[a] || a;\n}\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nfunction getMessageFunctionDetails(func) {\n    const argString = func.source ? `(\"${escape(func.source)}\")` : `(?)`;\n    return {\n        _custom: {\n            type: 'function',\n            display: `<span>ƒ</span> ${argString}`\n        }\n    };\n}\nfunction registerScope(payload, i18n) {\n    payload.rootNodes.push({\n        id: 'global',\n        label: 'Global Scope'\n    });\n    // prettier-ignore\n    const global = i18n.mode === 'composition'\n        ? i18n.global\n        : i18n.global.__composer;\n    for (const [keyInstance, instance] of i18n.__instances) {\n        // prettier-ignore\n        const composer = i18n.mode === 'composition'\n            ? instance\n            : instance.__composer;\n        if (global === composer) {\n            continue;\n        }\n        payload.rootNodes.push({\n            id: composer.id.toString(),\n            label: `${getI18nScopeLable(keyInstance)} Scope`\n        });\n    }\n}\nfunction getComponentInstance(nodeId, i18n) {\n    let instance = null;\n    if (nodeId !== 'global') {\n        for (const [component, composer] of i18n.__instances.entries()) {\n            if (composer.id.toString() === nodeId) {\n                instance = component;\n                break;\n            }\n        }\n    }\n    return instance;\n}\nfunction getComposer$1(nodeId, i18n) {\n    if (nodeId === 'global') {\n        return i18n.mode === 'composition'\n            ? i18n.global\n            : i18n.global.__composer;\n    }\n    else {\n        const instance = Array.from(i18n.__instances.values()).find(item => item.id.toString() === nodeId);\n        if (instance) {\n            return i18n.mode === 'composition'\n                ? instance\n                : instance.__composer;\n        }\n        else {\n            return null;\n        }\n    }\n}\nfunction inspectScope(payload, i18n\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\n) {\n    const composer = getComposer$1(payload.nodeId, i18n);\n    if (composer) {\n        // TODO:\n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        payload.state = makeScopeInspectState(composer);\n    }\n    return null;\n}\nfunction makeScopeInspectState(composer) {\n    const state = {};\n    const localeType = 'Locale related info';\n    const localeStates = [\n        {\n            type: localeType,\n            key: 'locale',\n            editable: true,\n            value: composer.locale.value\n        },\n        {\n            type: localeType,\n            key: 'fallbackLocale',\n            editable: true,\n            value: composer.fallbackLocale.value\n        },\n        {\n            type: localeType,\n            key: 'availableLocales',\n            editable: false,\n            value: composer.availableLocales\n        },\n        {\n            type: localeType,\n            key: 'inheritLocale',\n            editable: true,\n            value: composer.inheritLocale\n        }\n    ];\n    state[localeType] = localeStates;\n    const localeMessagesType = 'Locale messages info';\n    const localeMessagesStates = [\n        {\n            type: localeMessagesType,\n            key: 'messages',\n            editable: false,\n            value: getLocaleMessageValue(composer.messages.value)\n        }\n    ];\n    state[localeMessagesType] = localeMessagesStates;\n    {\n        const datetimeFormatsType = 'Datetime formats info';\n        const datetimeFormatsStates = [\n            {\n                type: datetimeFormatsType,\n                key: 'datetimeFormats',\n                editable: false,\n                value: composer.datetimeFormats.value\n            }\n        ];\n        state[datetimeFormatsType] = datetimeFormatsStates;\n        const numberFormatsType = 'Datetime formats info';\n        const numberFormatsStates = [\n            {\n                type: numberFormatsType,\n                key: 'numberFormats',\n                editable: false,\n                value: composer.numberFormats.value\n            }\n        ];\n        state[numberFormatsType] = numberFormatsStates;\n    }\n    return state;\n}\nfunction addTimelineEvent(event, payload) {\n    if (devtoolsApi) {\n        let groupId;\n        if (payload && 'groupId' in payload) {\n            groupId = payload.groupId;\n            delete payload.groupId;\n        }\n        devtoolsApi.addTimelineEvent({\n            layerId: \"vue-i18n-timeline\" /* VueDevToolsIDs.TIMELINE */,\n            event: {\n                title: event,\n                groupId,\n                time: Date.now(),\n                meta: {},\n                data: payload || {},\n                logType: event === \"compile-error\" /* VueDevToolsTimelineEvents.COMPILE_ERROR */\n                    ? 'error'\n                    : event === \"fallback\" /* VueDevToolsTimelineEvents.FALBACK */ ||\n                        event === \"missing\" /* VueDevToolsTimelineEvents.MISSING */\n                        ? 'warning'\n                        : 'default'\n            }\n        });\n    }\n}\nfunction editScope(payload, i18n) {\n    const composer = getComposer$1(payload.nodeId, i18n);\n    if (composer) {\n        const [field] = payload.path;\n        if (field === 'locale' && isString(payload.state.value)) {\n            composer.locale.value = payload.state.value;\n        }\n        else if (field === 'fallbackLocale' &&\n            (isString(payload.state.value) ||\n                isArray(payload.state.value) ||\n                isObject(payload.state.value))) {\n            composer.fallbackLocale.value = payload.state.value;\n        }\n        else if (field === 'inheritLocale' && isBoolean(payload.state.value)) {\n            composer.inheritLocale = payload.state.value;\n        }\n    }\n}\n\n/**\n * Supports compatibility for legacy vue-i18n APIs\n * This mixin is used when we use vue-i18n@v9.x or later\n */\nfunction defineMixin(vuei18n, composer, i18n) {\n    return {\n        beforeCreate() {\n            const instance = getCurrentInstance();\n            /* istanbul ignore if */\n            if (!instance) {\n                throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);\n            }\n            const options = this.$options;\n            if (options.i18n) {\n                const optionsI18n = options.i18n;\n                if (options.__i18n) {\n                    optionsI18n.__i18n = options.__i18n;\n                }\n                optionsI18n.__root = composer;\n                if (this === this.$root) {\n                    // merge option and gttach global\n                    this.$i18n = mergeToGlobal(vuei18n, optionsI18n);\n                }\n                else {\n                    optionsI18n.__injectWithOption = true;\n                    optionsI18n.__extender = i18n.__vueI18nExtend;\n                    // atttach local VueI18n instance\n                    this.$i18n = createVueI18n(optionsI18n);\n                    // extend VueI18n instance\n                    const _vueI18n = this.$i18n;\n                    if (_vueI18n.__extender) {\n                        _vueI18n.__disposer = _vueI18n.__extender(this.$i18n);\n                    }\n                }\n            }\n            else if (options.__i18n) {\n                if (this === this.$root) {\n                    // merge option and gttach global\n                    this.$i18n = mergeToGlobal(vuei18n, options);\n                }\n                else {\n                    // atttach local VueI18n instance\n                    this.$i18n = createVueI18n({\n                        __i18n: options.__i18n,\n                        __injectWithOption: true,\n                        __extender: i18n.__vueI18nExtend,\n                        __root: composer\n                    });\n                    // extend VueI18n instance\n                    const _vueI18n = this.$i18n;\n                    if (_vueI18n.__extender) {\n                        _vueI18n.__disposer = _vueI18n.__extender(this.$i18n);\n                    }\n                }\n            }\n            else {\n                // attach global VueI18n instance\n                this.$i18n = vuei18n;\n            }\n            if (options.__i18nGlobal) {\n                adjustI18nResources(composer, options, options);\n            }\n            // defines vue-i18n legacy APIs\n            this.$t = (...args) => this.$i18n.t(...args);\n            this.$rt = (...args) => this.$i18n.rt(...args);\n            this.$tc = (...args) => this.$i18n.tc(...args);\n            this.$te = (key, locale) => this.$i18n.te(key, locale);\n            this.$d = (...args) => this.$i18n.d(...args);\n            this.$n = (...args) => this.$i18n.n(...args);\n            this.$tm = (key) => this.$i18n.tm(key);\n            i18n.__setInstance(instance, this.$i18n);\n        },\n        mounted() {\n            /* istanbul ignore if */\n            if (((process.env.NODE_ENV !== 'production') || __VUE_PROD_DEVTOOLS__) &&\n                !false &&\n                this.$el &&\n                this.$i18n) {\n                const _vueI18n = this.$i18n;\n                this.$el.__VUE_I18N__ = _vueI18n.__composer;\n                const emitter = (this.__v_emitter =\n                    createEmitter());\n                _vueI18n.__enableEmitter && _vueI18n.__enableEmitter(emitter);\n                emitter.on('*', addTimelineEvent);\n            }\n        },\n        unmounted() {\n            const instance = getCurrentInstance();\n            /* istanbul ignore if */\n            if (!instance) {\n                throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);\n            }\n            const _vueI18n = this.$i18n;\n            /* istanbul ignore if */\n            if (((process.env.NODE_ENV !== 'production') || __VUE_PROD_DEVTOOLS__) &&\n                !false &&\n                this.$el &&\n                this.$el.__VUE_I18N__) {\n                if (this.__v_emitter) {\n                    this.__v_emitter.off('*', addTimelineEvent);\n                    delete this.__v_emitter;\n                }\n                if (this.$i18n) {\n                    _vueI18n.__disableEmitter && _vueI18n.__disableEmitter();\n                    delete this.$el.__VUE_I18N__;\n                }\n            }\n            delete this.$t;\n            delete this.$rt;\n            delete this.$tc;\n            delete this.$te;\n            delete this.$d;\n            delete this.$n;\n            delete this.$tm;\n            if (_vueI18n.__disposer) {\n                _vueI18n.__disposer();\n                delete _vueI18n.__disposer;\n                delete _vueI18n.__extender;\n            }\n            i18n.__deleteInstance(instance);\n            delete this.$i18n;\n        }\n    };\n}\nfunction mergeToGlobal(g, options) {\n    g.locale = options.locale || g.locale;\n    g.fallbackLocale = options.fallbackLocale || g.fallbackLocale;\n    g.missing = options.missing || g.missing;\n    g.silentTranslationWarn =\n        options.silentTranslationWarn || g.silentFallbackWarn;\n    g.silentFallbackWarn = options.silentFallbackWarn || g.silentFallbackWarn;\n    g.formatFallbackMessages =\n        options.formatFallbackMessages || g.formatFallbackMessages;\n    g.postTranslation = options.postTranslation || g.postTranslation;\n    g.warnHtmlInMessage = options.warnHtmlInMessage || g.warnHtmlInMessage;\n    g.escapeParameterHtml = options.escapeParameterHtml || g.escapeParameterHtml;\n    g.sync = options.sync || g.sync;\n    g.__composer[SetPluralRulesSymbol](options.pluralizationRules || g.pluralizationRules);\n    const messages = getLocaleMessages(g.locale, {\n        messages: options.messages,\n        __i18n: options.__i18n\n    });\n    Object.keys(messages).forEach(locale => g.mergeLocaleMessage(locale, messages[locale]));\n    if (options.datetimeFormats) {\n        Object.keys(options.datetimeFormats).forEach(locale => g.mergeDateTimeFormat(locale, options.datetimeFormats[locale]));\n    }\n    if (options.numberFormats) {\n        Object.keys(options.numberFormats).forEach(locale => g.mergeNumberFormat(locale, options.numberFormats[locale]));\n    }\n    return g;\n}\n\n/**\n * Injection key for {@link useI18n}\n *\n * @remarks\n * The global injection key for I18n instances with `useI18n`. this injection key is used in Web Components.\n * Specify the i18n instance created by {@link createI18n} together with `provide` function.\n *\n * @VueI18nGeneral\n */\nconst I18nInjectionKey = \n/* #__PURE__*/ makeSymbol('global-vue-i18n');\n// eslint-disable-next-line @typescript-eslint/no-explicit-any, @typescript-eslint/explicit-module-boundary-types\nfunction createI18n(options = {}, VueI18nLegacy) {\n    // prettier-ignore\n    const __legacyMode = __VUE_I18N_LEGACY_API__ && isBoolean(options.legacy)\n            ? options.legacy\n            : __VUE_I18N_LEGACY_API__;\n    // prettier-ignore\n    const __globalInjection = isBoolean(options.globalInjection)\n        ? options.globalInjection\n        : true;\n    // prettier-ignore\n    const __allowComposition = __VUE_I18N_LEGACY_API__ && __legacyMode\n            ? !!options.allowComposition\n            : true;\n    const __instances = new Map();\n    const [globalScope, __global] = createGlobal(options, __legacyMode);\n    const symbol = /* #__PURE__*/ makeSymbol((process.env.NODE_ENV !== 'production') ? 'vue-i18n' : '');\n    if ((process.env.NODE_ENV !== 'production')) {\n        if (__legacyMode && __allowComposition && !false) {\n            warn(getWarnMessage(I18nWarnCodes.NOTICE_DROP_ALLOW_COMPOSITION));\n        }\n    }\n    function __getInstance(component) {\n        return __instances.get(component) || null;\n    }\n    function __setInstance(component, instance) {\n        __instances.set(component, instance);\n    }\n    function __deleteInstance(component) {\n        __instances.delete(component);\n    }\n    {\n        const i18n = {\n            // mode\n            get mode() {\n                return __VUE_I18N_LEGACY_API__ && __legacyMode\n                    ? 'legacy'\n                    : 'composition';\n            },\n            // allowComposition\n            get allowComposition() {\n                return __allowComposition;\n            },\n            // install plugin\n            async install(app, ...options) {\n                if (((process.env.NODE_ENV !== 'production') || __VUE_PROD_DEVTOOLS__) &&\n                    !false) {\n                    app.__VUE_I18N__ = i18n;\n                }\n                // setup global provider\n                app.__VUE_I18N_SYMBOL__ = symbol;\n                app.provide(app.__VUE_I18N_SYMBOL__, i18n);\n                // set composer & vuei18n extend hook options from plugin options\n                if (isPlainObject(options[0])) {\n                    const opts = options[0];\n                    i18n.__composerExtend =\n                        opts.__composerExtend;\n                    i18n.__vueI18nExtend =\n                        opts.__vueI18nExtend;\n                }\n                // global method and properties injection for Composition API\n                let globalReleaseHandler = null;\n                if (!__legacyMode && __globalInjection) {\n                    globalReleaseHandler = injectGlobalFields(app, i18n.global);\n                }\n                // install built-in components and directive\n                if (__VUE_I18N_FULL_INSTALL__) {\n                    apply(app, i18n, ...options);\n                }\n                // setup mixin for Legacy API\n                if (__VUE_I18N_LEGACY_API__ && __legacyMode) {\n                    app.mixin(defineMixin(__global, __global.__composer, i18n));\n                }\n                // release global scope\n                const unmountApp = app.unmount;\n                app.unmount = () => {\n                    globalReleaseHandler && globalReleaseHandler();\n                    i18n.dispose();\n                    unmountApp();\n                };\n                // setup vue-devtools plugin\n                if (((process.env.NODE_ENV !== 'production') || __VUE_PROD_DEVTOOLS__) && !false) {\n                    const ret = await enableDevTools(app, i18n);\n                    if (!ret) {\n                        throw createI18nError(I18nErrorCodes.CANNOT_SETUP_VUE_DEVTOOLS_PLUGIN);\n                    }\n                    const emitter = createEmitter();\n                    if (__legacyMode) {\n                        const _vueI18n = __global;\n                        _vueI18n.__enableEmitter && _vueI18n.__enableEmitter(emitter);\n                    }\n                    else {\n                        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n                        const _composer = __global;\n                        _composer[EnableEmitter] && _composer[EnableEmitter](emitter);\n                    }\n                    emitter.on('*', addTimelineEvent);\n                }\n            },\n            // global accessor\n            get global() {\n                return __global;\n            },\n            dispose() {\n                globalScope.stop();\n            },\n            // @internal\n            __instances,\n            // @internal\n            __getInstance,\n            // @internal\n            __setInstance,\n            // @internal\n            __deleteInstance\n        };\n        return i18n;\n    }\n}\n// eslint-disable-next-line @typescript-eslint/explicit-module-boundary-types\nfunction useI18n(options = {}) {\n    const instance = getCurrentInstance();\n    if (instance == null) {\n        throw createI18nError(I18nErrorCodes.MUST_BE_CALL_SETUP_TOP);\n    }\n    if (!instance.isCE &&\n        instance.appContext.app != null &&\n        !instance.appContext.app.__VUE_I18N_SYMBOL__) {\n        throw createI18nError(I18nErrorCodes.NOT_INSTALLED);\n    }\n    const i18n = getI18nInstance(instance);\n    const gl = getGlobalComposer(i18n);\n    const componentOptions = getComponentOptions(instance);\n    const scope = getScope(options, componentOptions);\n    if (__VUE_I18N_LEGACY_API__) {\n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        if (i18n.mode === 'legacy' && !options.__useComponent) {\n            if (!i18n.allowComposition) {\n                throw createI18nError(I18nErrorCodes.NOT_AVAILABLE_IN_LEGACY_MODE);\n            }\n            return useI18nForLegacy(instance, scope, gl, options);\n        }\n    }\n    if (scope === 'global') {\n        adjustI18nResources(gl, options, componentOptions);\n        return gl;\n    }\n    if (scope === 'parent') {\n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        let composer = getComposer(i18n, instance, options.__useComponent);\n        if (composer == null) {\n            if ((process.env.NODE_ENV !== 'production')) {\n                warn(getWarnMessage(I18nWarnCodes.NOT_FOUND_PARENT_SCOPE));\n            }\n            composer = gl;\n        }\n        return composer;\n    }\n    const i18nInternal = i18n;\n    let composer = i18nInternal.__getInstance(instance);\n    if (composer == null) {\n        const composerOptions = assign({}, options);\n        if ('__i18n' in componentOptions) {\n            composerOptions.__i18n = componentOptions.__i18n;\n        }\n        if (gl) {\n            composerOptions.__root = gl;\n        }\n        composer = createComposer(composerOptions);\n        if (i18nInternal.__composerExtend) {\n            composer[DisposeSymbol] =\n                i18nInternal.__composerExtend(composer);\n        }\n        setupLifeCycle(i18nInternal, instance, composer);\n        i18nInternal.__setInstance(instance, composer);\n    }\n    return composer;\n}\n/**\n * Cast to VueI18n legacy compatible type\n *\n * @remarks\n * This API is provided only with [vue-i18n-bridge](https://vue-i18n.intlify.dev/guide/migration/ways.html#what-is-vue-i18n-bridge).\n *\n * The purpose of this function is to convert an {@link I18n} instance created with {@link createI18n | createI18n(legacy: true)} into a `vue-i18n@v8.x` compatible instance of `new VueI18n` in a TypeScript environment.\n *\n * @param i18n - An instance of {@link I18n}\n * @returns A i18n instance which is casted to {@link VueI18n} type\n *\n * @VueI18nTip\n * :new: provided by **vue-i18n-bridge only**\n *\n * @VueI18nGeneral\n */\n/* #__NO_SIDE_EFFECTS__ */\nconst castToVueI18n = (i18n\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\n) => {\n    if (!(__VUE_I18N_BRIDGE__ in i18n)) {\n        throw createI18nError(I18nErrorCodes.NOT_COMPATIBLE_LEGACY_VUE_I18N);\n    }\n    return i18n;\n};\nfunction createGlobal(options, legacyMode, VueI18nLegacy // eslint-disable-line @typescript-eslint/no-explicit-any\n) {\n    const scope = effectScope();\n    {\n        const obj = __VUE_I18N_LEGACY_API__ && legacyMode\n            ? scope.run(() => createVueI18n(options))\n            : scope.run(() => createComposer(options));\n        if (obj == null) {\n            throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);\n        }\n        return [scope, obj];\n    }\n}\nfunction getI18nInstance(instance) {\n    {\n        const i18n = inject(!instance.isCE\n            ? instance.appContext.app.__VUE_I18N_SYMBOL__\n            : I18nInjectionKey);\n        /* istanbul ignore if */\n        if (!i18n) {\n            throw createI18nError(!instance.isCE\n                ? I18nErrorCodes.UNEXPECTED_ERROR\n                : I18nErrorCodes.NOT_INSTALLED_WITH_PROVIDE);\n        }\n        return i18n;\n    }\n}\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nfunction getScope(options, componentOptions) {\n    // prettier-ignore\n    return isEmptyObject(options)\n        ? ('__i18n' in componentOptions)\n            ? 'local'\n            : 'global'\n        : !options.useScope\n            ? 'local'\n            : options.useScope;\n}\nfunction getGlobalComposer(i18n) {\n    // prettier-ignore\n    return i18n.mode === 'composition'\n            ? i18n.global\n            : i18n.global.__composer\n        ;\n}\nfunction getComposer(i18n, target, useComponent = false) {\n    let composer = null;\n    const root = target.root;\n    let current = getParentComponentInstance(target, useComponent);\n    while (current != null) {\n        const i18nInternal = i18n;\n        if (i18n.mode === 'composition') {\n            composer = i18nInternal.__getInstance(current);\n        }\n        else {\n            if (__VUE_I18N_LEGACY_API__) {\n                const vueI18n = i18nInternal.__getInstance(current);\n                if (vueI18n != null) {\n                    composer = vueI18n\n                        .__composer;\n                    if (useComponent &&\n                        composer &&\n                        !composer[InejctWithOptionSymbol] // eslint-disable-line @typescript-eslint/no-explicit-any\n                    ) {\n                        composer = null;\n                    }\n                }\n            }\n        }\n        if (composer != null) {\n            break;\n        }\n        if (root === current) {\n            break;\n        }\n        current = current.parent;\n    }\n    return composer;\n}\nfunction getParentComponentInstance(target, useComponent = false) {\n    if (target == null) {\n        return null;\n    }\n    {\n        // if `useComponent: true` will be specified, we get lexical scope owner instance for use-case slots\n        return !useComponent\n            ? target.parent\n            : target.vnode.ctx || target.parent; // eslint-disable-line @typescript-eslint/no-explicit-any\n    }\n}\nfunction setupLifeCycle(i18n, target, composer) {\n    let emitter = null;\n    {\n        onMounted(() => {\n            // inject composer instance to DOM for intlify-devtools\n            if (((process.env.NODE_ENV !== 'production') || __VUE_PROD_DEVTOOLS__) &&\n                !false &&\n                target.vnode.el) {\n                target.vnode.el.__VUE_I18N__ = composer;\n                emitter = createEmitter();\n                // eslint-disable-next-line @typescript-eslint/no-explicit-any\n                const _composer = composer;\n                _composer[EnableEmitter] && _composer[EnableEmitter](emitter);\n                emitter.on('*', addTimelineEvent);\n            }\n        }, target);\n        onUnmounted(() => {\n            // eslint-disable-next-line @typescript-eslint/no-explicit-any\n            const _composer = composer;\n            // remove composer instance from DOM for intlify-devtools\n            if (((process.env.NODE_ENV !== 'production') || __VUE_PROD_DEVTOOLS__) &&\n                !false &&\n                target.vnode.el &&\n                target.vnode.el.__VUE_I18N__) {\n                emitter && emitter.off('*', addTimelineEvent);\n                _composer[DisableEmitter] && _composer[DisableEmitter]();\n                delete target.vnode.el.__VUE_I18N__;\n            }\n            i18n.__deleteInstance(target);\n            // dispose extended resources\n            const dispose = _composer[DisposeSymbol];\n            if (dispose) {\n                dispose();\n                delete _composer[DisposeSymbol];\n            }\n        }, target);\n    }\n}\nfunction useI18nForLegacy(instance, scope, root, options = {} // eslint-disable-line @typescript-eslint/no-explicit-any\n) {\n    const isLocalScope = scope === 'local';\n    const _composer = shallowRef(null);\n    if (isLocalScope &&\n        instance.proxy &&\n        !(instance.proxy.$options.i18n || instance.proxy.$options.__i18n)) {\n        throw createI18nError(I18nErrorCodes.MUST_DEFINE_I18N_OPTION_IN_ALLOW_COMPOSITION);\n    }\n    const _inheritLocale = isBoolean(options.inheritLocale)\n        ? options.inheritLocale\n        : !isString(options.locale);\n    const _locale = ref(\n    // prettier-ignore\n    !isLocalScope || _inheritLocale\n        ? root.locale.value\n        : isString(options.locale)\n            ? options.locale\n            : DEFAULT_LOCALE);\n    const _fallbackLocale = ref(\n    // prettier-ignore\n    !isLocalScope || _inheritLocale\n        ? root.fallbackLocale.value\n        : isString(options.fallbackLocale) ||\n            isArray(options.fallbackLocale) ||\n            isPlainObject(options.fallbackLocale) ||\n            options.fallbackLocale === false\n            ? options.fallbackLocale\n            : _locale.value);\n    const _messages = ref(getLocaleMessages(_locale.value, options));\n    // prettier-ignore\n    const _datetimeFormats = ref(isPlainObject(options.datetimeFormats)\n        ? options.datetimeFormats\n        : { [_locale.value]: {} });\n    // prettier-ignore\n    const _numberFormats = ref(isPlainObject(options.numberFormats)\n        ? options.numberFormats\n        : { [_locale.value]: {} });\n    // prettier-ignore\n    const _missingWarn = isLocalScope\n        ? root.missingWarn\n        : isBoolean(options.missingWarn) || isRegExp(options.missingWarn)\n            ? options.missingWarn\n            : true;\n    // prettier-ignore\n    const _fallbackWarn = isLocalScope\n        ? root.fallbackWarn\n        : isBoolean(options.fallbackWarn) || isRegExp(options.fallbackWarn)\n            ? options.fallbackWarn\n            : true;\n    // prettier-ignore\n    const _fallbackRoot = isLocalScope\n        ? root.fallbackRoot\n        : isBoolean(options.fallbackRoot)\n            ? options.fallbackRoot\n            : true;\n    // configure fall back to root\n    const _fallbackFormat = !!options.fallbackFormat;\n    // runtime missing\n    const _missing = isFunction(options.missing) ? options.missing : null;\n    // postTranslation handler\n    const _postTranslation = isFunction(options.postTranslation)\n        ? options.postTranslation\n        : null;\n    // prettier-ignore\n    const _warnHtmlMessage = isLocalScope\n        ? root.warnHtmlMessage\n        : isBoolean(options.warnHtmlMessage)\n            ? options.warnHtmlMessage\n            : true;\n    const _escapeParameter = !!options.escapeParameter;\n    // prettier-ignore\n    const _modifiers = isLocalScope\n        ? root.modifiers\n        : isPlainObject(options.modifiers)\n            ? options.modifiers\n            : {};\n    // pluralRules\n    const _pluralRules = options.pluralRules || (isLocalScope && root.pluralRules);\n    // track reactivity\n    function trackReactivityValues() {\n        return [\n            _locale.value,\n            _fallbackLocale.value,\n            _messages.value,\n            _datetimeFormats.value,\n            _numberFormats.value\n        ];\n    }\n    // locale\n    const locale = computed({\n        get: () => {\n            return _composer.value ? _composer.value.locale.value : _locale.value;\n        },\n        set: val => {\n            if (_composer.value) {\n                _composer.value.locale.value = val;\n            }\n            _locale.value = val;\n        }\n    });\n    // fallbackLocale\n    const fallbackLocale = computed({\n        get: () => {\n            return _composer.value\n                ? _composer.value.fallbackLocale.value\n                : _fallbackLocale.value;\n        },\n        set: val => {\n            if (_composer.value) {\n                _composer.value.fallbackLocale.value = val;\n            }\n            _fallbackLocale.value = val;\n        }\n    });\n    // messages\n    const messages = computed(() => {\n        if (_composer.value) {\n            // eslint-disable-next-line @typescript-eslint/no-explicit-any\n            return _composer.value.messages.value;\n        }\n        else {\n            // eslint-disable-next-line @typescript-eslint/no-explicit-any\n            return _messages.value;\n        }\n    });\n    const datetimeFormats = computed(() => _datetimeFormats.value);\n    const numberFormats = computed(() => _numberFormats.value);\n    function getPostTranslationHandler() {\n        return _composer.value\n            ? _composer.value.getPostTranslationHandler()\n            : _postTranslation;\n    }\n    function setPostTranslationHandler(handler) {\n        if (_composer.value) {\n            _composer.value.setPostTranslationHandler(handler);\n        }\n    }\n    function getMissingHandler() {\n        return _composer.value ? _composer.value.getMissingHandler() : _missing;\n    }\n    function setMissingHandler(handler) {\n        if (_composer.value) {\n            _composer.value.setMissingHandler(handler);\n        }\n    }\n    function warpWithDeps(fn) {\n        trackReactivityValues();\n        return fn();\n    }\n    function t(...args) {\n        return _composer.value\n            ? warpWithDeps(() => Reflect.apply(_composer.value.t, null, [...args]))\n            : warpWithDeps(() => '');\n    }\n    function rt(...args) {\n        return _composer.value\n            ? Reflect.apply(_composer.value.rt, null, [...args])\n            : '';\n    }\n    function d(...args) {\n        return _composer.value\n            ? warpWithDeps(() => Reflect.apply(_composer.value.d, null, [...args]))\n            : warpWithDeps(() => '');\n    }\n    function n(...args) {\n        return _composer.value\n            ? warpWithDeps(() => Reflect.apply(_composer.value.n, null, [...args]))\n            : warpWithDeps(() => '');\n    }\n    function tm(key) {\n        return _composer.value ? _composer.value.tm(key) : {};\n    }\n    function te(key, locale) {\n        return _composer.value ? _composer.value.te(key, locale) : false;\n    }\n    function getLocaleMessage(locale) {\n        return _composer.value ? _composer.value.getLocaleMessage(locale) : {};\n    }\n    function setLocaleMessage(locale, message) {\n        if (_composer.value) {\n            _composer.value.setLocaleMessage(locale, message);\n            _messages.value[locale] = message;\n        }\n    }\n    function mergeLocaleMessage(locale, message) {\n        if (_composer.value) {\n            _composer.value.mergeLocaleMessage(locale, message);\n        }\n    }\n    function getDateTimeFormat(locale) {\n        return _composer.value ? _composer.value.getDateTimeFormat(locale) : {};\n    }\n    function setDateTimeFormat(locale, format) {\n        if (_composer.value) {\n            _composer.value.setDateTimeFormat(locale, format);\n            _datetimeFormats.value[locale] = format;\n        }\n    }\n    function mergeDateTimeFormat(locale, format) {\n        if (_composer.value) {\n            _composer.value.mergeDateTimeFormat(locale, format);\n        }\n    }\n    function getNumberFormat(locale) {\n        return _composer.value ? _composer.value.getNumberFormat(locale) : {};\n    }\n    function setNumberFormat(locale, format) {\n        if (_composer.value) {\n            _composer.value.setNumberFormat(locale, format);\n            _numberFormats.value[locale] = format;\n        }\n    }\n    function mergeNumberFormat(locale, format) {\n        if (_composer.value) {\n            _composer.value.mergeNumberFormat(locale, format);\n        }\n    }\n    const wrapper = {\n        get id() {\n            return _composer.value ? _composer.value.id : -1;\n        },\n        locale,\n        fallbackLocale,\n        messages,\n        datetimeFormats,\n        numberFormats,\n        get inheritLocale() {\n            return _composer.value ? _composer.value.inheritLocale : _inheritLocale;\n        },\n        set inheritLocale(val) {\n            if (_composer.value) {\n                _composer.value.inheritLocale = val;\n            }\n        },\n        get availableLocales() {\n            return _composer.value\n                ? _composer.value.availableLocales\n                : Object.keys(_messages.value);\n        },\n        get modifiers() {\n            return (_composer.value ? _composer.value.modifiers : _modifiers);\n        },\n        get pluralRules() {\n            return (_composer.value ? _composer.value.pluralRules : _pluralRules);\n        },\n        get isGlobal() {\n            return _composer.value ? _composer.value.isGlobal : false;\n        },\n        get missingWarn() {\n            return _composer.value ? _composer.value.missingWarn : _missingWarn;\n        },\n        set missingWarn(val) {\n            if (_composer.value) {\n                _composer.value.missingWarn = val;\n            }\n        },\n        get fallbackWarn() {\n            return _composer.value ? _composer.value.fallbackWarn : _fallbackWarn;\n        },\n        set fallbackWarn(val) {\n            if (_composer.value) {\n                _composer.value.missingWarn = val;\n            }\n        },\n        get fallbackRoot() {\n            return _composer.value ? _composer.value.fallbackRoot : _fallbackRoot;\n        },\n        set fallbackRoot(val) {\n            if (_composer.value) {\n                _composer.value.fallbackRoot = val;\n            }\n        },\n        get fallbackFormat() {\n            return _composer.value ? _composer.value.fallbackFormat : _fallbackFormat;\n        },\n        set fallbackFormat(val) {\n            if (_composer.value) {\n                _composer.value.fallbackFormat = val;\n            }\n        },\n        get warnHtmlMessage() {\n            return _composer.value\n                ? _composer.value.warnHtmlMessage\n                : _warnHtmlMessage;\n        },\n        set warnHtmlMessage(val) {\n            if (_composer.value) {\n                _composer.value.warnHtmlMessage = val;\n            }\n        },\n        get escapeParameter() {\n            return _composer.value\n                ? _composer.value.escapeParameter\n                : _escapeParameter;\n        },\n        set escapeParameter(val) {\n            if (_composer.value) {\n                _composer.value.escapeParameter = val;\n            }\n        },\n        t,\n        getPostTranslationHandler,\n        setPostTranslationHandler,\n        getMissingHandler,\n        setMissingHandler,\n        rt,\n        d,\n        n,\n        tm,\n        te,\n        getLocaleMessage,\n        setLocaleMessage,\n        mergeLocaleMessage,\n        getDateTimeFormat,\n        setDateTimeFormat,\n        mergeDateTimeFormat,\n        getNumberFormat,\n        setNumberFormat,\n        mergeNumberFormat\n    };\n    function sync(composer) {\n        composer.locale.value = _locale.value;\n        composer.fallbackLocale.value = _fallbackLocale.value;\n        Object.keys(_messages.value).forEach(locale => {\n            composer.mergeLocaleMessage(locale, _messages.value[locale]);\n        });\n        Object.keys(_datetimeFormats.value).forEach(locale => {\n            composer.mergeDateTimeFormat(locale, _datetimeFormats.value[locale]);\n        });\n        Object.keys(_numberFormats.value).forEach(locale => {\n            composer.mergeNumberFormat(locale, _numberFormats.value[locale]);\n        });\n        composer.escapeParameter = _escapeParameter;\n        composer.fallbackFormat = _fallbackFormat;\n        composer.fallbackRoot = _fallbackRoot;\n        composer.fallbackWarn = _fallbackWarn;\n        composer.missingWarn = _missingWarn;\n        composer.warnHtmlMessage = _warnHtmlMessage;\n    }\n    onBeforeMount(() => {\n        if (instance.proxy == null || instance.proxy.$i18n == null) {\n            throw createI18nError(I18nErrorCodes.NOT_AVAILABLE_COMPOSITION_IN_LEGACY);\n        }\n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        const composer = (_composer.value = instance.proxy.$i18n\n            .__composer);\n        if (scope === 'global') {\n            _locale.value = composer.locale.value;\n            _fallbackLocale.value = composer.fallbackLocale.value;\n            _messages.value = composer.messages.value;\n            _datetimeFormats.value = composer.datetimeFormats.value;\n            _numberFormats.value = composer.numberFormats.value;\n        }\n        else if (isLocalScope) {\n            sync(composer);\n        }\n    });\n    return wrapper;\n}\nconst globalExportProps = [\n    'locale',\n    'fallbackLocale',\n    'availableLocales'\n];\nconst globalExportMethods = ['t', 'rt', 'd', 'n', 'tm', 'te']\n    ;\nfunction injectGlobalFields(app, composer) {\n    const i18n = Object.create(null);\n    globalExportProps.forEach(prop => {\n        const desc = Object.getOwnPropertyDescriptor(composer, prop);\n        if (!desc) {\n            throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);\n        }\n        const wrap = isRef(desc.value) // check computed props\n            ? {\n                get() {\n                    return desc.value.value;\n                },\n                // eslint-disable-next-line @typescript-eslint/no-explicit-any\n                set(val) {\n                    desc.value.value = val;\n                }\n            }\n            : {\n                get() {\n                    return desc.get && desc.get();\n                }\n            };\n        Object.defineProperty(i18n, prop, wrap);\n    });\n    app.config.globalProperties.$i18n = i18n;\n    globalExportMethods.forEach(method => {\n        const desc = Object.getOwnPropertyDescriptor(composer, method);\n        if (!desc || !desc.value) {\n            throw createI18nError(I18nErrorCodes.UNEXPECTED_ERROR);\n        }\n        Object.defineProperty(app.config.globalProperties, `$${method}`, desc);\n    });\n    const dispose = () => {\n        // eslint-disable-next-line @typescript-eslint/no-explicit-any\n        delete app.config.globalProperties.$i18n;\n        globalExportMethods.forEach(method => {\n            // eslint-disable-next-line @typescript-eslint/no-explicit-any\n            delete app.config.globalProperties[`$${method}`];\n        });\n    };\n    return dispose;\n}\n\n{\n    initFeatureFlags();\n}\n// register message compiler at vue-i18n\nif (__INTLIFY_JIT_COMPILATION__) {\n    registerMessageCompiler(compile);\n}\nelse {\n    registerMessageCompiler(compileToFunction);\n}\n// register message resolver at vue-i18n\nregisterMessageResolver(resolveValue);\n// register fallback locale at vue-i18n\nregisterLocaleFallbacker(fallbackWithLocaleChain);\n// NOTE: experimental !!\nif ((process.env.NODE_ENV !== 'production') || __INTLIFY_PROD_DEVTOOLS__) {\n    const target = getGlobalThis();\n    target.__INTLIFY__ = true;\n    setDevToolsHook(target.__INTLIFY_DEVTOOLS_GLOBAL_HOOK__);\n}\nif ((process.env.NODE_ENV !== 'production')) ;\n\nexport { DatetimeFormat, I18nD, I18nInjectionKey, I18nN, I18nT, NumberFormat, Translation, VERSION, castToVueI18n, createI18n, useI18n, vTDirective };\n","<template>\n  <Button\n    @click=\"openGitHubIssues\"\n    :label=\"buttonLabel\"\n    severity=\"secondary\"\n    icon=\"pi pi-github\"\n    :badge=\"issueCount.toString()\"\n  >\n  </Button>\n</template>\n\n<script setup lang=\"ts\">\nimport { computed } from 'vue'\nimport { useAsyncState } from '@vueuse/core'\nimport axios from 'axios'\nimport Button from 'primevue/button'\nimport { useI18n } from 'vue-i18n'\n\nconst props = defineProps<{\n  errorMessage: string\n  repoOwner: string\n  repoName: string\n}>()\n\nconst GITHUB_API_URL = 'https://api.github.com/search/issues'\n\nconst queryString = computed(() => props.errorMessage + ' is:issue')\nconst getIssueCount = async () => {\n  const query = `${queryString.value} repo:${props.repoOwner}/${props.repoName}`\n  const response = await axios.get(GITHUB_API_URL, {\n    params: {\n      q: query,\n      per_page: 1\n    }\n  })\n  return response.data.total_count\n}\n\nconst {\n  state: issueCount,\n  isLoading,\n  execute\n} = useAsyncState(getIssueCount, 0)\n\nconst { t } = useI18n()\nconst buttonLabel = computed(() => {\n  return isLoading.value ? 'Loading...' : t('findIssues')\n})\n\nconst openGitHubIssues = () => {\n  const query = encodeURIComponent(queryString.value)\n  const url = `https://github.com/${props.repoOwner}/${props.repoName}/issues?q=${query}`\n  window.open(url, '_blank')\n}\n</script>\n","<template>\n  <NoResultsPlaceholder\n    icon=\"pi pi-exclamation-circle\"\n    :title=\"props.error.node_type\"\n    :message=\"props.error.exception_message\"\n  />\n  <div class=\"comfy-error-report\">\n    <Button\n      v-show=\"!reportOpen\"\n      :label=\"$t('showReport')\"\n      @click=\"showReport\"\n      text\n    />\n    <template v-if=\"reportOpen\">\n      <Divider />\n      <ScrollPanel style=\"width: 100%; height: 400px; max-width: 80vw\">\n        <pre class=\"wrapper-pre\">{{ reportContent }}</pre>\n      </ScrollPanel>\n      <Divider />\n    </template>\n\n    <div class=\"action-container\">\n      <FindIssueButton\n        :errorMessage=\"props.error.exception_message\"\n        :repoOwner=\"repoOwner\"\n        :repoName=\"repoName\"\n      />\n      <Button\n        :label=\"$t('openNewIssue')\"\n        icon=\"pi pi-github\"\n        @click=\"openNewGithubIssue\"\n        class=\"p-button-secondary\"\n      />\n      <Button\n        v-if=\"reportOpen\"\n        :label=\"$t('copyToClipboard')\"\n        icon=\"pi pi-copy\"\n        @click=\"copyReportToClipboard\"\n      />\n    </div>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { ref, onMounted } from 'vue'\nimport { useClipboard } from '@vueuse/core'\nimport { useToast } from 'primevue/usetoast'\nimport Button from 'primevue/button'\nimport Divider from 'primevue/divider'\nimport ScrollPanel from 'primevue/scrollpanel'\nimport FindIssueButton from '@/components/dialog/content/error/FindIssueButton.vue'\nimport NoResultsPlaceholder from '@/components/common/NoResultsPlaceholder.vue'\nimport type { ExecutionErrorWsMessage, SystemStats } from '@/types/apiTypes'\nimport { api } from '@/scripts/api'\nimport { app } from '@/scripts/app'\n\nconst props = defineProps<{\n  error: ExecutionErrorWsMessage\n}>()\n\nconst repoOwner = 'comfyanonymous'\nconst repoName = 'ComfyUI'\nconst reportContent = ref('')\nconst reportOpen = ref(false)\nconst showReport = () => {\n  reportOpen.value = true\n}\n\nconst toast = useToast()\nconst { copy, isSupported } = useClipboard()\n\nonMounted(async () => {\n  try {\n    const [systemStats, logs] = await Promise.all([\n      api.getSystemStats(),\n      api.getLogs()\n    ])\n    generateReport(systemStats, logs)\n  } catch (error) {\n    console.error('Error fetching system stats or logs:', error)\n    toast.add({\n      severity: 'error',\n      summary: 'Error',\n      detail: 'Failed to fetch system information',\n      life: 5000\n    })\n  }\n})\n\nconst generateReport = (systemStats: SystemStats, logs: string) => {\n  // The default JSON workflow has about 3000 characters.\n  const MAX_JSON_LENGTH = 20000\n  const workflowJSONString = JSON.stringify(app.graph.serialize())\n  const workflowText =\n    workflowJSONString.length > MAX_JSON_LENGTH\n      ? 'Workflow too large. Please manually upload the workflow from local file system.'\n      : workflowJSONString\n\n  reportContent.value = `\n# ComfyUI Error Report\n## Error Details\n- **Node Type:** ${props.error.node_type}\n- **Exception Type:** ${props.error.exception_type}\n- **Exception Message:** ${props.error.exception_message}\n## Stack Trace\n\\`\\`\\`\n${props.error.traceback.join('\\n')}\n\\`\\`\\`\n## System Information\n- **ComfyUI Version:** ${systemStats.system.comfyui_version}\n- **Arguments:** ${systemStats.system.argv.join(' ')}\n- **OS:** ${systemStats.system.os}\n- **Python Version:** ${systemStats.system.python_version}\n- **Embedded Python:** ${systemStats.system.embedded_python}\n- **PyTorch Version:** ${systemStats.system.pytorch_version}\n## Devices\n${systemStats.devices\n  .map(\n    (device) => `\n- **Name:** ${device.name}\n  - **Type:** ${device.type}\n  - **VRAM Total:** ${device.vram_total}\n  - **VRAM Free:** ${device.vram_free}\n  - **Torch VRAM Total:** ${device.torch_vram_total}\n  - **Torch VRAM Free:** ${device.torch_vram_free}\n`\n  )\n  .join('\\n')}\n## Logs\n\\`\\`\\`\n${logs}\n\\`\\`\\`\n## Attached Workflow\nPlease make sure that workflow does not contain any sensitive information such as API keys or passwords.\n\\`\\`\\`\n${workflowText}\n\\`\\`\\`\n\n## Additional Context\n(Please add any additional context or steps to reproduce the error here)\n`\n}\n\nconst copyReportToClipboard = async () => {\n  if (isSupported) {\n    try {\n      await copy(reportContent.value)\n      toast.add({\n        severity: 'success',\n        summary: 'Success',\n        detail: 'Report copied to clipboard',\n        life: 3000\n      })\n    } catch (err) {\n      toast.add({\n        severity: 'error',\n        summary: 'Error',\n        detail: 'Failed to copy report'\n      })\n    }\n  } else {\n    toast.add({\n      severity: 'error',\n      summary: 'Error',\n      detail: 'Clipboard API not supported in your browser'\n    })\n  }\n}\n\nconst openNewGithubIssue = async () => {\n  await copyReportToClipboard()\n  const issueTitle = encodeURIComponent(\n    `[Bug]: ${props.error.exception_type} in ${props.error.node_type}`\n  )\n  const issueBody = encodeURIComponent(\n    'The report has been copied to the clipboard. Please paste it here.'\n  )\n  const url = `https://github.com/${repoOwner}/${repoName}/issues/new?title=${issueTitle}&body=${issueBody}`\n  window.open(url, '_blank')\n}\n</script>\n\n<style scoped>\n.comfy-error-report {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n}\n\n.action-container {\n  display: flex;\n  gap: 1rem;\n  justify-content: flex-end;\n}\n\n.wrapper-pre {\n  white-space: pre-wrap;\n  word-wrap: break-word;\n}\n\n.no-results-placeholder {\n  padding-top: 0;\n}\n</style>\n","// This module is mocked in tests-ui/\n// Import vue components here to avoid tests-ui/ reporting errors\n// about importing primevue components.\nimport { useDialogStore } from '@/stores/dialogStore'\nimport LoadWorkflowWarning from '@/components/dialog/content/LoadWorkflowWarning.vue'\nimport MissingModelsWarning from '@/components/dialog/content/MissingModelsWarning.vue'\nimport SettingDialogContent from '@/components/dialog/content/SettingDialogContent.vue'\nimport SettingDialogHeader from '@/components/dialog/header/SettingDialogHeader.vue'\nimport type { ExecutionErrorWsMessage } from '@/types/apiTypes'\nimport ExecutionErrorDialogContent from '@/components/dialog/content/ExecutionErrorDialogContent.vue'\n\nexport function showLoadWorkflowWarning(props: {\n  missingNodeTypes: any[]\n  hasAddedNodes: boolean\n  [key: string]: any\n}) {\n  const dialogStore = useDialogStore()\n  dialogStore.showDialog({\n    component: LoadWorkflowWarning,\n    props\n  })\n}\n\nexport function showMissingModelsWarning(props: {\n  missingModels: any[]\n  [key: string]: any\n}) {\n  const dialogStore = useDialogStore()\n  dialogStore.showDialog({\n    component: MissingModelsWarning,\n    props\n  })\n}\n\nexport function showSettingsDialog() {\n  useDialogStore().showDialog({\n    headerComponent: SettingDialogHeader,\n    component: SettingDialogContent\n  })\n}\n\nexport function showExecutionErrorDialog(error: ExecutionErrorWsMessage) {\n  useDialogStore().showDialog({\n    component: ExecutionErrorDialogContent,\n    props: {\n      error\n    }\n  })\n}\n","// Within Vue component context, you can directly call useToast().add()\n// instead of going through the store.\n// The store is useful when you need to call it from outside the Vue component context.\nimport { defineStore } from 'pinia'\nimport type { ToastMessageOptions } from 'primevue/toast'\n\nexport const useToastStore = defineStore('toast', {\n  state: () => ({\n    messagesToAdd: [] as ToastMessageOptions[],\n    messagesToRemove: [] as ToastMessageOptions[],\n    removeAllRequested: false\n  }),\n\n  actions: {\n    add(message: ToastMessageOptions) {\n      this.messagesToAdd = [...this.messagesToAdd, message]\n    },\n    remove(message: ToastMessageOptions) {\n      this.messagesToRemove = [...this.messagesToRemove, message]\n    },\n    removeAll() {\n      this.removeAllRequested = true\n    }\n  }\n})\n","var __defProp = Object.defineProperty;\nvar __typeError = (msg) => {\n  throw TypeError(msg);\n};\nvar __defNormalProp = (obj, key, value) => key in obj ? __defProp(obj, key, { enumerable: true, configurable: true, writable: true, value }) : obj[key] = value;\nvar __publicField = (obj, key, value) => __defNormalProp(obj, typeof key !== \"symbol\" ? key + \"\" : key, value);\nvar __accessCheck = (obj, member, msg) => member.has(obj) || __typeError(\"Cannot \" + msg);\nvar __privateGet = (obj, member, getter) => (__accessCheck(obj, member, \"read from private field\"), getter ? getter.call(obj) : member.get(obj));\nvar __privateAdd = (obj, member, value) => member.has(obj) ? __typeError(\"Cannot add the same private member more than once\") : member instanceof WeakSet ? member.add(obj) : member.set(obj, value);\nconst globalExport = {};\n(function(globalThis) {\n  var _temp, _temp_vec2, _tmp_area, _margin_area, _link_bounding, _tempA, _tempB;\n  var LiteGraph = globalThis.LiteGraph = {\n    VERSION: 0.4,\n    CANVAS_GRID_SIZE: 10,\n    NODE_TITLE_HEIGHT: 30,\n    NODE_TITLE_TEXT_Y: 20,\n    NODE_SLOT_HEIGHT: 20,\n    NODE_WIDGET_HEIGHT: 20,\n    NODE_WIDTH: 140,\n    NODE_MIN_WIDTH: 50,\n    NODE_COLLAPSED_RADIUS: 10,\n    NODE_COLLAPSED_WIDTH: 80,\n    NODE_TITLE_COLOR: \"#999\",\n    NODE_SELECTED_TITLE_COLOR: \"#FFF\",\n    NODE_TEXT_SIZE: 14,\n    NODE_TEXT_COLOR: \"#AAA\",\n    NODE_SUBTEXT_SIZE: 12,\n    NODE_DEFAULT_COLOR: \"#333\",\n    NODE_DEFAULT_BGCOLOR: \"#353535\",\n    NODE_DEFAULT_BOXCOLOR: \"#666\",\n    NODE_DEFAULT_SHAPE: \"box\",\n    NODE_BOX_OUTLINE_COLOR: \"#FFF\",\n    DEFAULT_SHADOW_COLOR: \"rgba(0,0,0,0.5)\",\n    DEFAULT_GROUP_FONT: 24,\n    WIDGET_BGCOLOR: \"#222\",\n    WIDGET_OUTLINE_COLOR: \"#666\",\n    WIDGET_TEXT_COLOR: \"#DDD\",\n    WIDGET_SECONDARY_TEXT_COLOR: \"#999\",\n    LINK_COLOR: \"#9A9\",\n    EVENT_LINK_COLOR: \"#A86\",\n    CONNECTING_LINK_COLOR: \"#AFA\",\n    MAX_NUMBER_OF_NODES: 1e4,\n    //avoid infinite loops\n    DEFAULT_POSITION: [100, 100],\n    //default node position\n    VALID_SHAPES: [\"default\", \"box\", \"round\", \"card\"],\n    //,\"circle\"\n    //shapes are used for nodes but also for slots\n    BOX_SHAPE: 1,\n    ROUND_SHAPE: 2,\n    CIRCLE_SHAPE: 3,\n    CARD_SHAPE: 4,\n    ARROW_SHAPE: 5,\n    GRID_SHAPE: 6,\n    // intended for slot arrays\n    //enums\n    INPUT: 1,\n    OUTPUT: 2,\n    EVENT: -1,\n    //for outputs\n    ACTION: -1,\n    //for inputs\n    NODE_MODES: [\"Always\", \"On Event\", \"Never\", \"On Trigger\"],\n    // helper, will add \"On Request\" and more in the future\n    NODE_MODES_COLORS: [\"#666\", \"#422\", \"#333\", \"#224\", \"#626\"],\n    // use with node_box_coloured_by_mode\n    ALWAYS: 0,\n    ON_EVENT: 1,\n    NEVER: 2,\n    ON_TRIGGER: 3,\n    UP: 1,\n    DOWN: 2,\n    LEFT: 3,\n    RIGHT: 4,\n    CENTER: 5,\n    LINK_RENDER_MODES: [\"Straight\", \"Linear\", \"Spline\"],\n    // helper\n    STRAIGHT_LINK: 0,\n    LINEAR_LINK: 1,\n    SPLINE_LINK: 2,\n    NORMAL_TITLE: 0,\n    NO_TITLE: 1,\n    TRANSPARENT_TITLE: 2,\n    AUTOHIDE_TITLE: 3,\n    VERTICAL_LAYOUT: \"vertical\",\n    // arrange nodes vertically\n    proxy: null,\n    //used to redirect calls\n    node_images_path: \"\",\n    debug: false,\n    catch_exceptions: true,\n    throw_errors: true,\n    allow_scripts: false,\n    //if set to true some nodes like Formula would be allowed to evaluate code that comes from unsafe sources (like node configuration), which could lead to exploits\n    registered_node_types: {},\n    //nodetypes by string\n    node_types_by_file_extension: {},\n    //used for dropping files in the canvas\n    Nodes: {},\n    //node types by classname\n    Globals: {},\n    //used to store vars between graphs\n    searchbox_extras: {},\n    //used to add extra features to the search box\n    auto_sort_node_types: false,\n    // [true!] If set to true, will automatically sort node types / categories in the context menus\n    node_box_coloured_when_on: false,\n    // [true!] this make the nodes box (top left circle) coloured when triggered (execute/action), visual feedback\n    node_box_coloured_by_mode: false,\n    // [true!] nodebox based on node mode, visual feedback\n    dialog_close_on_mouse_leave: false,\n    // [false on mobile] better true if not touch device, TODO add an helper/listener to close if false\n    dialog_close_on_mouse_leave_delay: 500,\n    shift_click_do_break_link_from: false,\n    // [false!] prefer false if results too easy to break links - implement with ALT or TODO custom keys\n    click_do_break_link_to: false,\n    // [false!]prefer false, way too easy to break links\n    ctrl_alt_click_do_break_link: true,\n    // [true!] who accidentally ctrl-alt-clicks on an in/output? nobody! that's who!\n    search_hide_on_mouse_leave: true,\n    // [false on mobile] better true if not touch device, TODO add an helper/listener to close if false\n    search_filter_enabled: false,\n    // [true!] enable filtering slots type in the search widget, !requires auto_load_slot_types or manual set registered_slot_[in/out]_types and slot_types_[in/out]\n    search_show_all_on_open: true,\n    // [true!] opens the results list when opening the search widget\n    auto_load_slot_types: false,\n    // [if want false, use true, run, get vars values to be statically set, than disable] nodes types and nodeclass association with node types need to be calculated, if dont want this, calculate once and set registered_slot_[in/out]_types and slot_types_[in/out]\n    // set these values if not using auto_load_slot_types\n    registered_slot_in_types: {},\n    // slot types for nodeclass\n    registered_slot_out_types: {},\n    // slot types for nodeclass\n    slot_types_in: [],\n    // slot types IN\n    slot_types_out: [],\n    // slot types OUT\n    slot_types_default_in: [],\n    // specify for each IN slot type a(/many) default node(s), use single string, array, or object (with node, title, parameters, ..) like for search\n    slot_types_default_out: [],\n    // specify for each OUT slot type a(/many) default node(s), use single string, array, or object (with node, title, parameters, ..) like for search\n    alt_drag_do_clone_nodes: false,\n    // [true!] very handy, ALT click to clone and drag the new node\n    do_add_triggers_slots: false,\n    // [true!] will create and connect event slots when using action/events connections, !WILL CHANGE node mode when using onTrigger (enable mode colors), onExecuted does not need this\n    allow_multi_output_for_events: true,\n    // [false!] being events, it is strongly reccomended to use them sequentially, one by one\n    middle_click_slot_add_default_node: false,\n    //[true!] allows to create and connect a ndoe clicking with the third button (wheel)\n    release_link_on_empty_shows_menu: false,\n    //[true!] dragging a link to empty space will open a menu, add from list, search or defaults\n    pointerevents_method: \"pointer\",\n    // \"mouse\"|\"pointer\" use mouse for retrocompatibility issues? (none found @ now)\n    // TODO implement pointercancel, gotpointercapture, lostpointercapture, (pointerover, pointerout if necessary)\n    ctrl_shift_v_paste_connect_unselected_outputs: true,\n    //[true!] allows ctrl + shift + v to paste nodes with the outputs of the unselected nodes connected with the inputs of the newly pasted nodes\n    // if true, all newly created nodes/links will use string UUIDs for their id fields instead of integers.\n    // use this if you must have node IDs that are unique across all graphs and subgraphs.\n    use_uuids: false,\n    /**\n     * Register a node class so it can be listed when the user wants to create a new one\n     * @method registerNodeType\n     * @param {String} type name of the node and path\n     * @param {Class} base_class class containing the structure of a node\n     */\n    registerNodeType: function(type, base_class) {\n      if (!base_class.prototype) {\n        throw \"Cannot register a simple object, it must be a class with a prototype\";\n      }\n      base_class.type = type;\n      if (LiteGraph.debug) {\n        console.log(\"Node registered: \" + type);\n      }\n      const classname = base_class.name;\n      const pos2 = type.lastIndexOf(\"/\");\n      base_class.category = type.substring(0, pos2);\n      if (!base_class.title) {\n        base_class.title = classname;\n      }\n      for (var i2 in LGraphNode.prototype) {\n        if (!base_class.prototype[i2]) {\n          base_class.prototype[i2] = LGraphNode.prototype[i2];\n        }\n      }\n      const prev = this.registered_node_types[type];\n      if (prev) {\n        console.log(\"replacing node type: \" + type);\n      }\n      if (!Object.prototype.hasOwnProperty.call(base_class.prototype, \"shape\")) {\n        Object.defineProperty(base_class.prototype, \"shape\", {\n          set: function(v2) {\n            switch (v2) {\n              case \"default\":\n                delete this._shape;\n                break;\n              case \"box\":\n                this._shape = LiteGraph.BOX_SHAPE;\n                break;\n              case \"round\":\n                this._shape = LiteGraph.ROUND_SHAPE;\n                break;\n              case \"circle\":\n                this._shape = LiteGraph.CIRCLE_SHAPE;\n                break;\n              case \"card\":\n                this._shape = LiteGraph.CARD_SHAPE;\n                break;\n              default:\n                this._shape = v2;\n            }\n          },\n          get: function() {\n            return this._shape;\n          },\n          enumerable: true,\n          configurable: true\n        });\n        if (base_class.supported_extensions) {\n          for (let i3 in base_class.supported_extensions) {\n            const ext = base_class.supported_extensions[i3];\n            if (ext && ext.constructor === String) {\n              this.node_types_by_file_extension[ext.toLowerCase()] = base_class;\n            }\n          }\n        }\n      }\n      this.registered_node_types[type] = base_class;\n      if (base_class.constructor.name) {\n        this.Nodes[classname] = base_class;\n      }\n      if (LiteGraph.onNodeTypeRegistered) {\n        LiteGraph.onNodeTypeRegistered(type, base_class);\n      }\n      if (prev && LiteGraph.onNodeTypeReplaced) {\n        LiteGraph.onNodeTypeReplaced(type, base_class, prev);\n      }\n      if (base_class.prototype.onPropertyChange) {\n        console.warn(\n          \"LiteGraph node class \" + type + \" has onPropertyChange method, it must be called onPropertyChanged with d at the end\"\n        );\n      }\n      if (this.auto_load_slot_types) {\n        new base_class(base_class.title || \"tmpnode\");\n      }\n    },\n    /**\n     * removes a node type from the system\n     * @method unregisterNodeType\n     * @param {String|Object} type name of the node or the node constructor itself\n     */\n    unregisterNodeType: function(type) {\n      const base_class = type.constructor === String ? this.registered_node_types[type] : type;\n      if (!base_class) {\n        throw \"node type not found: \" + type;\n      }\n      delete this.registered_node_types[base_class.type];\n      if (base_class.constructor.name) {\n        delete this.Nodes[base_class.constructor.name];\n      }\n    },\n    /**\n    * Save a slot type and his node\n    * @method registerSlotType\n    * @param {String|Object} type name of the node or the node constructor itself\n    * @param {String} slot_type name of the slot type (variable type), eg. string, number, array, boolean, ..\n    */\n    registerNodeAndSlotType: function(type, slot_type, out) {\n      out = out || false;\n      const base_class = type.constructor === String && this.registered_node_types[type] !== \"anonymous\" ? this.registered_node_types[type] : type;\n      const class_type = base_class.constructor.type;\n      let allTypes = [];\n      if (typeof slot_type === \"string\") {\n        allTypes = slot_type.split(\",\");\n      } else if (slot_type == this.EVENT || slot_type == this.ACTION) {\n        allTypes = [\"_event_\"];\n      } else {\n        allTypes = [\"*\"];\n      }\n      for (let i2 = 0; i2 < allTypes.length; ++i2) {\n        let slotType = allTypes[i2];\n        if (slotType === \"\") {\n          slotType = \"*\";\n        }\n        const registerTo = out ? \"registered_slot_out_types\" : \"registered_slot_in_types\";\n        if (this[registerTo][slotType] === void 0) {\n          this[registerTo][slotType] = { nodes: [] };\n        }\n        if (!this[registerTo][slotType].nodes.includes(class_type)) {\n          this[registerTo][slotType].nodes.push(class_type);\n        }\n        if (!out) {\n          if (!this.slot_types_in.includes(slotType.toLowerCase())) {\n            this.slot_types_in.push(slotType.toLowerCase());\n            this.slot_types_in.sort();\n          }\n        } else {\n          if (!this.slot_types_out.includes(slotType.toLowerCase())) {\n            this.slot_types_out.push(slotType.toLowerCase());\n            this.slot_types_out.sort();\n          }\n        }\n      }\n    },\n    /**\n     * Create a new nodetype by passing a function, it wraps it with a proper class and generates inputs according to the parameters of the function.\n     * Useful to wrap simple methods that do not require properties, and that only process some input to generate an output.\n     * @method wrapFunctionAsNode\n     * @param {String} name node name with namespace (p.e.: 'math/sum')\n     * @param {Function} func\n     * @param {Array} param_types [optional] an array containing the type of every parameter, otherwise parameters will accept any type\n     * @param {String} return_type [optional] string with the return type, otherwise it will be generic\n     * @param {Object} properties [optional] properties to be configurable\n     */\n    wrapFunctionAsNode: function(name, func, param_types, return_type, properties) {\n      var params = Array(func.length);\n      var code = \"\";\n      var names = LiteGraph.getParameterNames(func);\n      for (var i2 = 0; i2 < names.length; ++i2) {\n        code += \"this.addInput('\" + names[i2] + \"',\" + (param_types && param_types[i2] ? \"'\" + param_types[i2] + \"'\" : \"0\") + \");\\n\";\n      }\n      code += \"this.addOutput('out',\" + (return_type ? \"'\" + return_type + \"'\" : 0) + \");\\n\";\n      if (properties) {\n        code += \"this.properties = \" + JSON.stringify(properties) + \";\\n\";\n      }\n      var classobj = Function(code);\n      classobj.title = name.split(\"/\").pop();\n      classobj.desc = \"Generated from \" + func.name;\n      classobj.prototype.onExecute = function onExecute() {\n        for (var i3 = 0; i3 < params.length; ++i3) {\n          params[i3] = this.getInputData(i3);\n        }\n        var r = func.apply(this, params);\n        this.setOutputData(0, r);\n      };\n      this.registerNodeType(name, classobj);\n    },\n    /**\n     * Removes all previously registered node's types\n     */\n    clearRegisteredTypes: function() {\n      this.registered_node_types = {};\n      this.node_types_by_file_extension = {};\n      this.Nodes = {};\n      this.searchbox_extras = {};\n    },\n    /**\n     * Adds this method to all nodetypes, existing and to be created\n     * (You can add it to LGraphNode.prototype but then existing node types wont have it)\n     * @method addNodeMethod\n     * @param {Function} func\n     */\n    addNodeMethod: function(name, func) {\n      LGraphNode.prototype[name] = func;\n      for (var i2 in this.registered_node_types) {\n        var type = this.registered_node_types[i2];\n        if (type.prototype[name]) {\n          type.prototype[\"_\" + name] = type.prototype[name];\n        }\n        type.prototype[name] = func;\n      }\n    },\n    /**\n     * Create a node of a given type with a name. The node is not attached to any graph yet.\n     * @method createNode\n     * @param {String} type full name of the node class. p.e. \"math/sin\"\n     * @param {String} name a name to distinguish from other nodes\n     * @param {Object} options to set options\n     */\n    createNode: function(type, title, options) {\n      var base_class = this.registered_node_types[type];\n      if (!base_class) {\n        if (LiteGraph.debug) {\n          console.log(\n            'GraphNode type \"' + type + '\" not registered.'\n          );\n        }\n        return null;\n      }\n      base_class.prototype || base_class;\n      title = title || base_class.title || type;\n      var node2 = null;\n      if (LiteGraph.catch_exceptions) {\n        try {\n          node2 = new base_class(title);\n        } catch (err) {\n          console.error(err);\n          return null;\n        }\n      } else {\n        node2 = new base_class(title);\n      }\n      node2.type = type;\n      if (!node2.title && title) {\n        node2.title = title;\n      }\n      if (!node2.properties) {\n        node2.properties = {};\n      }\n      if (!node2.properties_info) {\n        node2.properties_info = [];\n      }\n      if (!node2.flags) {\n        node2.flags = {};\n      }\n      if (!node2.size) {\n        node2.size = node2.computeSize();\n      }\n      if (!node2.pos) {\n        node2.pos = LiteGraph.DEFAULT_POSITION.concat();\n      }\n      if (!node2.mode) {\n        node2.mode = LiteGraph.ALWAYS;\n      }\n      if (options) {\n        for (var i2 in options) {\n          node2[i2] = options[i2];\n        }\n      }\n      if (node2.onNodeCreated) {\n        node2.onNodeCreated();\n      }\n      return node2;\n    },\n    /**\n     * Returns a registered node type with a given name\n     * @method getNodeType\n     * @param {String} type full name of the node class. p.e. \"math/sin\"\n     * @return {Class} the node class\n     */\n    getNodeType: function(type) {\n      return this.registered_node_types[type];\n    },\n    /**\n     * Returns a list of node types matching one category\n     * @method getNodeType\n     * @param {String} category category name\n     * @return {Array} array with all the node classes\n     */\n    getNodeTypesInCategory: function(category, filter) {\n      var r = [];\n      for (var i2 in this.registered_node_types) {\n        var type = this.registered_node_types[i2];\n        if (type.filter != filter) {\n          continue;\n        }\n        if (category == \"\") {\n          if (type.category == null) {\n            r.push(type);\n          }\n        } else if (type.category == category) {\n          r.push(type);\n        }\n      }\n      if (this.auto_sort_node_types) {\n        r.sort(function(a, b) {\n          return a.title.localeCompare(b.title);\n        });\n      }\n      return r;\n    },\n    /**\n     * Returns a list with all the node type categories\n     * @method getNodeTypesCategories\n     * @param {String} filter only nodes with ctor.filter equal can be shown\n     * @return {Array} array with all the names of the categories\n     */\n    getNodeTypesCategories: function(filter) {\n      var categories = { \"\": 1 };\n      for (var i2 in this.registered_node_types) {\n        var type = this.registered_node_types[i2];\n        if (type.category && !type.skip_list) {\n          if (type.filter != filter)\n            continue;\n          categories[type.category] = 1;\n        }\n      }\n      var result = [];\n      for (var i2 in categories) {\n        result.push(i2);\n      }\n      return this.auto_sort_node_types ? result.sort() : result;\n    },\n    //debug purposes: reloads all the js scripts that matches a wildcard\n    reloadNodes: function(folder_wildcard) {\n      var tmp = document.getElementsByTagName(\"script\");\n      var script_files = [];\n      for (var i2 = 0; i2 < tmp.length; i2++) {\n        script_files.push(tmp[i2]);\n      }\n      var docHeadObj = document.getElementsByTagName(\"head\")[0];\n      folder_wildcard = document.location.href + folder_wildcard;\n      for (var i2 = 0; i2 < script_files.length; i2++) {\n        var src = script_files[i2].src;\n        if (!src || src.substr(0, folder_wildcard.length) != folder_wildcard) {\n          continue;\n        }\n        try {\n          if (LiteGraph.debug) {\n            console.log(\"Reloading: \" + src);\n          }\n          var dynamicScript = document.createElement(\"script\");\n          dynamicScript.type = \"text/javascript\";\n          dynamicScript.src = src;\n          docHeadObj.appendChild(dynamicScript);\n          docHeadObj.removeChild(script_files[i2]);\n        } catch (err) {\n          if (LiteGraph.throw_errors) {\n            throw err;\n          }\n          if (LiteGraph.debug) {\n            console.log(\"Error while reloading \" + src);\n          }\n        }\n      }\n      if (LiteGraph.debug) {\n        console.log(\"Nodes reloaded\");\n      }\n    },\n    //separated just to improve if it doesn't work\n    cloneObject: function(obj, target) {\n      if (obj == null) {\n        return null;\n      }\n      var r = JSON.parse(JSON.stringify(obj));\n      if (!target) {\n        return r;\n      }\n      for (var i2 in r) {\n        target[i2] = r[i2];\n      }\n      return target;\n    },\n    /*\n     * https://gist.github.com/jed/982883?permalink_comment_id=852670#gistcomment-852670\n     */\n    uuidv4: function() {\n      return (\"10000000-1000-4000-8000\" + -1e11).replace(/[018]/g, (a) => (a ^ Math.random() * 16 >> a / 4).toString(16));\n    },\n    /**\n     * Returns if the types of two slots are compatible (taking into account wildcards, etc)\n     * @method isValidConnection\n     * @param {String} type_a\n     * @param {String} type_b\n     * @return {Boolean} true if they can be connected\n     */\n    isValidConnection: function(type_a, type_b) {\n      if (type_a == \"\" || type_a === \"*\") type_a = 0;\n      if (type_b == \"\" || type_b === \"*\") type_b = 0;\n      if (!type_a || !type_b || type_a == type_b || type_a == LiteGraph.EVENT && type_b == LiteGraph.ACTION) {\n        return true;\n      }\n      type_a = String(type_a);\n      type_b = String(type_b);\n      type_a = type_a.toLowerCase();\n      type_b = type_b.toLowerCase();\n      if (type_a.indexOf(\",\") == -1 && type_b.indexOf(\",\") == -1) {\n        return type_a == type_b;\n      }\n      var supported_types_a = type_a.split(\",\");\n      var supported_types_b = type_b.split(\",\");\n      for (var i2 = 0; i2 < supported_types_a.length; ++i2) {\n        for (var j = 0; j < supported_types_b.length; ++j) {\n          if (this.isValidConnection(supported_types_a[i2], supported_types_b[j])) {\n            return true;\n          }\n        }\n      }\n      return false;\n    },\n    /**\n     * Register a string in the search box so when the user types it it will recommend this node\n     * @method registerSearchboxExtra\n     * @param {String} node_type the node recommended\n     * @param {String} description text to show next to it\n     * @param {Object} data it could contain info of how the node should be configured\n     * @return {Boolean} true if they can be connected\n     */\n    registerSearchboxExtra: function(node_type, description, data) {\n      this.searchbox_extras[description.toLowerCase()] = {\n        type: node_type,\n        desc: description,\n        data\n      };\n    },\n    /**\n     * Wrapper to load files (from url using fetch or from file using FileReader)\n     * @method fetchFile\n     * @param {String|File|Blob} url the url of the file (or the file itself)\n     * @param {String} type an string to know how to fetch it: \"text\",\"arraybuffer\",\"json\",\"blob\"\n     * @param {Function} on_complete callback(data)\n     * @param {Function} on_error in case of an error\n     * @return {FileReader|Promise} returns the object used to \n     */\n    fetchFile: function(url, type, on_complete, on_error) {\n      if (!url)\n        return null;\n      type = type || \"text\";\n      if (url.constructor === String) {\n        if (url.substr(0, 4) == \"http\" && LiteGraph.proxy) {\n          url = LiteGraph.proxy + url.substr(url.indexOf(\":\") + 3);\n        }\n        return fetch(url).then(function(response) {\n          if (!response.ok)\n            throw new Error(\"File not found\");\n          if (type == \"arraybuffer\")\n            return response.arrayBuffer();\n          else if (type == \"text\" || type == \"string\")\n            return response.text();\n          else if (type == \"json\")\n            return response.json();\n          else if (type == \"blob\")\n            return response.blob();\n        }).then(function(data) {\n          if (on_complete)\n            on_complete(data);\n        }).catch(function(error) {\n          console.error(\"error fetching file:\", url);\n          if (on_error)\n            on_error(error);\n        });\n      } else if (url.constructor === File || url.constructor === Blob) {\n        var reader = new FileReader();\n        reader.onload = function(e) {\n          var v2 = e.target.result;\n          if (type == \"json\")\n            v2 = JSON.parse(v2);\n          if (on_complete)\n            on_complete(v2);\n        };\n        if (type == \"arraybuffer\")\n          return reader.readAsArrayBuffer(url);\n        else if (type == \"text\" || type == \"json\")\n          return reader.readAsText(url);\n        else if (type == \"blob\")\n          return reader.readAsBinaryString(url);\n      }\n      return null;\n    }\n  };\n  if (typeof performance != \"undefined\") {\n    LiteGraph.getTime = performance.now.bind(performance);\n  } else if (typeof Date != \"undefined\" && Date.now) {\n    LiteGraph.getTime = Date.now.bind(Date);\n  } else if (typeof process != \"undefined\") {\n    LiteGraph.getTime = function() {\n      var t = process.hrtime();\n      return t[0] * 1e-3 + t[1] * 1e-6;\n    };\n  } else {\n    LiteGraph.getTime = function getTime() {\n      return (/* @__PURE__ */ new Date()).getTime();\n    };\n  }\n  const _LGraph = class _LGraph {\n    constructor(o) {\n      if (LiteGraph.debug) {\n        console.log(\"Graph created\");\n      }\n      this.list_of_graphcanvas = null;\n      this.clear();\n      if (o) {\n        this.configure(o);\n      }\n    }\n    //used to know which types of connections support this graph (some graphs do not allow certain types)\n    getSupportedTypes() {\n      return this.supported_types || _LGraph.supported_types;\n    }\n    /**\n         * Removes all nodes from this graph\n         * @method clear\n         */\n    clear() {\n      this.stop();\n      this.status = _LGraph.STATUS_STOPPED;\n      this.last_node_id = 0;\n      this.last_link_id = 0;\n      this._version = -1;\n      if (this._nodes) {\n        for (var i2 = 0; i2 < this._nodes.length; ++i2) {\n          var node2 = this._nodes[i2];\n          if (node2.onRemoved) {\n            node2.onRemoved();\n          }\n        }\n      }\n      this._nodes = [];\n      this._nodes_by_id = {};\n      this._nodes_in_order = [];\n      this._nodes_executable = null;\n      this._groups = [];\n      this.links = {};\n      this.iteration = 0;\n      this.config = {};\n      this.vars = {};\n      this.extra = {};\n      this.globaltime = 0;\n      this.runningtime = 0;\n      this.fixedtime = 0;\n      this.fixedtime_lapse = 0.01;\n      this.elapsed_time = 0.01;\n      this.last_update_time = 0;\n      this.starttime = 0;\n      this.catch_errors = true;\n      this.nodes_executing = [];\n      this.nodes_actioning = [];\n      this.nodes_executedAction = [];\n      this.inputs = {};\n      this.outputs = {};\n      this.change();\n      this.sendActionToCanvas(\"clear\");\n    }\n    /**\n         * Attach Canvas to this graph\n         * @method attachCanvas\n         * @param {GraphCanvas} graph_canvas\n         */\n    attachCanvas(graphcanvas) {\n      if (graphcanvas.constructor != LGraphCanvas) {\n        throw \"attachCanvas expects a LGraphCanvas instance\";\n      }\n      if (graphcanvas.graph && graphcanvas.graph != this) {\n        graphcanvas.graph.detachCanvas(graphcanvas);\n      }\n      graphcanvas.graph = this;\n      if (!this.list_of_graphcanvas) {\n        this.list_of_graphcanvas = [];\n      }\n      this.list_of_graphcanvas.push(graphcanvas);\n    }\n    /**\n         * Detach Canvas from this graph\n         * @method detachCanvas\n         * @param {GraphCanvas} graph_canvas\n         */\n    detachCanvas(graphcanvas) {\n      if (!this.list_of_graphcanvas) {\n        return;\n      }\n      var pos2 = this.list_of_graphcanvas.indexOf(graphcanvas);\n      if (pos2 == -1) {\n        return;\n      }\n      graphcanvas.graph = null;\n      this.list_of_graphcanvas.splice(pos2, 1);\n    }\n    /**\n         * Starts running this graph every interval milliseconds.\n         * @method start\n         * @param {number} interval amount of milliseconds between executions, if 0 then it renders to the monitor refresh rate\n         */\n    start(interval) {\n      if (this.status == _LGraph.STATUS_RUNNING) {\n        return;\n      }\n      this.status = _LGraph.STATUS_RUNNING;\n      if (this.onPlayEvent) {\n        this.onPlayEvent();\n      }\n      this.sendEventToAllNodes(\"onStart\");\n      this.starttime = LiteGraph.getTime();\n      this.last_update_time = this.starttime;\n      interval = interval || 0;\n      var that2 = this;\n      if (interval == 0 && typeof window != \"undefined\" && window.requestAnimationFrame) {\n        let on_frame = function() {\n          if (that2.execution_timer_id != -1) {\n            return;\n          }\n          window.requestAnimationFrame(on_frame);\n          if (that2.onBeforeStep)\n            that2.onBeforeStep();\n          that2.runStep(1, !that2.catch_errors);\n          if (that2.onAfterStep)\n            that2.onAfterStep();\n        };\n        this.execution_timer_id = -1;\n        on_frame();\n      } else {\n        this.execution_timer_id = setInterval(function() {\n          if (that2.onBeforeStep)\n            that2.onBeforeStep();\n          that2.runStep(1, !that2.catch_errors);\n          if (that2.onAfterStep)\n            that2.onAfterStep();\n        }, interval);\n      }\n    }\n    /**\n         * Stops the execution loop of the graph\n         * @method stop execution\n         */\n    stop() {\n      if (this.status == _LGraph.STATUS_STOPPED) {\n        return;\n      }\n      this.status = _LGraph.STATUS_STOPPED;\n      if (this.onStopEvent) {\n        this.onStopEvent();\n      }\n      if (this.execution_timer_id != null) {\n        if (this.execution_timer_id != -1) {\n          clearInterval(this.execution_timer_id);\n        }\n        this.execution_timer_id = null;\n      }\n      this.sendEventToAllNodes(\"onStop\");\n    }\n    /**\n         * Run N steps (cycles) of the graph\n         * @method runStep\n         * @param {number} num number of steps to run, default is 1\n         * @param {Boolean} do_not_catch_errors [optional] if you want to try/catch errors\n         * @param {number} limit max number of nodes to execute (used to execute from start to a node)\n         */\n    runStep(num, do_not_catch_errors, limit) {\n      num = num || 1;\n      var start = LiteGraph.getTime();\n      this.globaltime = 1e-3 * (start - this.starttime);\n      var nodes = this._nodes_executable ? this._nodes_executable : this._nodes;\n      if (!nodes) {\n        return;\n      }\n      limit = limit || nodes.length;\n      if (do_not_catch_errors) {\n        for (var i2 = 0; i2 < num; i2++) {\n          for (var j = 0; j < limit; ++j) {\n            var node2 = nodes[j];\n            if (node2.mode == LiteGraph.ALWAYS && node2.onExecute) {\n              node2.doExecute();\n            }\n          }\n          this.fixedtime += this.fixedtime_lapse;\n          if (this.onExecuteStep) {\n            this.onExecuteStep();\n          }\n        }\n        if (this.onAfterExecute) {\n          this.onAfterExecute();\n        }\n      } else {\n        try {\n          for (var i2 = 0; i2 < num; i2++) {\n            for (var j = 0; j < limit; ++j) {\n              var node2 = nodes[j];\n              if (node2.mode == LiteGraph.ALWAYS && node2.onExecute) {\n                node2.onExecute();\n              }\n            }\n            this.fixedtime += this.fixedtime_lapse;\n            if (this.onExecuteStep) {\n              this.onExecuteStep();\n            }\n          }\n          if (this.onAfterExecute) {\n            this.onAfterExecute();\n          }\n          this.errors_in_execution = false;\n        } catch (err) {\n          this.errors_in_execution = true;\n          if (LiteGraph.throw_errors) {\n            throw err;\n          }\n          if (LiteGraph.debug) {\n            console.log(\"Error during execution: \" + err);\n          }\n          this.stop();\n        }\n      }\n      var now = LiteGraph.getTime();\n      var elapsed = now - start;\n      if (elapsed == 0) {\n        elapsed = 1;\n      }\n      this.execution_time = 1e-3 * elapsed;\n      this.globaltime += 1e-3 * elapsed;\n      this.iteration += 1;\n      this.elapsed_time = (now - this.last_update_time) * 1e-3;\n      this.last_update_time = now;\n      this.nodes_executing = [];\n      this.nodes_actioning = [];\n      this.nodes_executedAction = [];\n    }\n    /**\n         * Updates the graph execution order according to relevance of the nodes (nodes with only outputs have more relevance than\n         * nodes with only inputs.\n         * @method updateExecutionOrder\n         */\n    updateExecutionOrder() {\n      this._nodes_in_order = this.computeExecutionOrder(false);\n      this._nodes_executable = [];\n      for (var i2 = 0; i2 < this._nodes_in_order.length; ++i2) {\n        if (this._nodes_in_order[i2].onExecute) {\n          this._nodes_executable.push(this._nodes_in_order[i2]);\n        }\n      }\n    }\n    //This is more internal, it computes the executable nodes in order and returns it\n    computeExecutionOrder(only_onExecute, set_level) {\n      var L = [];\n      var S = [];\n      var M = {};\n      var visited_links = {};\n      var remaining_links = {};\n      for (var i2 = 0, l = this._nodes.length; i2 < l; ++i2) {\n        var node2 = this._nodes[i2];\n        if (only_onExecute && !node2.onExecute) {\n          continue;\n        }\n        M[node2.id] = node2;\n        var num = 0;\n        if (node2.inputs) {\n          for (var j = 0, l2 = node2.inputs.length; j < l2; j++) {\n            if (node2.inputs[j] && node2.inputs[j].link != null) {\n              num += 1;\n            }\n          }\n        }\n        if (num == 0) {\n          S.push(node2);\n          if (set_level) {\n            node2._level = 1;\n          }\n        } else {\n          if (set_level) {\n            node2._level = 0;\n          }\n          remaining_links[node2.id] = num;\n        }\n      }\n      while (true) {\n        if (S.length == 0) {\n          break;\n        }\n        var node2 = S.shift();\n        L.push(node2);\n        delete M[node2.id];\n        if (!node2.outputs) {\n          continue;\n        }\n        for (var i2 = 0; i2 < node2.outputs.length; i2++) {\n          var output = node2.outputs[i2];\n          if (output == null || output.links == null || output.links.length == 0) {\n            continue;\n          }\n          for (var j = 0; j < output.links.length; j++) {\n            var link_id = output.links[j];\n            var link = this.links[link_id];\n            if (!link) {\n              continue;\n            }\n            if (visited_links[link.id]) {\n              continue;\n            }\n            var target_node = this.getNodeById(link.target_id);\n            if (target_node == null) {\n              visited_links[link.id] = true;\n              continue;\n            }\n            if (set_level && (!target_node._level || target_node._level <= node2._level)) {\n              target_node._level = node2._level + 1;\n            }\n            visited_links[link.id] = true;\n            remaining_links[target_node.id] -= 1;\n            if (remaining_links[target_node.id] == 0) {\n              S.push(target_node);\n            }\n          }\n        }\n      }\n      for (var i2 in M) {\n        L.push(M[i2]);\n      }\n      if (L.length != this._nodes.length && LiteGraph.debug) {\n        console.warn(\"something went wrong, nodes missing\");\n      }\n      var l = L.length;\n      for (var i2 = 0; i2 < l; ++i2) {\n        L[i2].order = i2;\n      }\n      L = L.sort(function(A, B) {\n        var Ap = A.constructor.priority || A.priority || 0;\n        var Bp = B.constructor.priority || B.priority || 0;\n        if (Ap == Bp) {\n          return A.order - B.order;\n        }\n        return Ap - Bp;\n      });\n      for (var i2 = 0; i2 < l; ++i2) {\n        L[i2].order = i2;\n      }\n      return L;\n    }\n    /**\n         * Returns all the nodes that could affect this one (ancestors) by crawling all the inputs recursively.\n         * It doesn't include the node itself\n         * @method getAncestors\n         * @return {Array} an array with all the LGraphNodes that affect this node, in order of execution\n         */\n    getAncestors(node2) {\n      var ancestors = [];\n      var pending = [node2];\n      var visited = {};\n      while (pending.length) {\n        var current = pending.shift();\n        if (!current.inputs) {\n          continue;\n        }\n        if (!visited[current.id] && current != node2) {\n          visited[current.id] = true;\n          ancestors.push(current);\n        }\n        for (var i2 = 0; i2 < current.inputs.length; ++i2) {\n          var input = current.getInputNode(i2);\n          if (input && ancestors.indexOf(input) == -1) {\n            pending.push(input);\n          }\n        }\n      }\n      ancestors.sort(function(a, b) {\n        return a.order - b.order;\n      });\n      return ancestors;\n    }\n    /**\n         * Positions every node in a more readable manner\n         * @method arrange\n         */\n    arrange(margin, layout) {\n      margin = margin || 100;\n      const nodes = this.computeExecutionOrder(false, true);\n      const columns = [];\n      for (let i2 = 0; i2 < nodes.length; ++i2) {\n        const node2 = nodes[i2];\n        const col = node2._level || 1;\n        if (!columns[col]) {\n          columns[col] = [];\n        }\n        columns[col].push(node2);\n      }\n      let x2 = margin;\n      for (let i2 = 0; i2 < columns.length; ++i2) {\n        const column = columns[i2];\n        if (!column) {\n          continue;\n        }\n        let max_size = 100;\n        let y2 = margin + LiteGraph.NODE_TITLE_HEIGHT;\n        for (let j = 0; j < column.length; ++j) {\n          const node2 = column[j];\n          node2.pos[0] = layout == LiteGraph.VERTICAL_LAYOUT ? y2 : x2;\n          node2.pos[1] = layout == LiteGraph.VERTICAL_LAYOUT ? x2 : y2;\n          const max_size_index = layout == LiteGraph.VERTICAL_LAYOUT ? 1 : 0;\n          if (node2.size[max_size_index] > max_size) {\n            max_size = node2.size[max_size_index];\n          }\n          const node_size_index = layout == LiteGraph.VERTICAL_LAYOUT ? 0 : 1;\n          y2 += node2.size[node_size_index] + margin + LiteGraph.NODE_TITLE_HEIGHT;\n        }\n        x2 += max_size + margin;\n      }\n      this.setDirtyCanvas(true, true);\n    }\n    /**\n         * Returns the amount of time the graph has been running in milliseconds\n         * @method getTime\n         * @return {number} number of milliseconds the graph has been running\n         */\n    getTime() {\n      return this.globaltime;\n    }\n    /**\n         * Returns the amount of time accumulated using the fixedtime_lapse var. This is used in context where the time increments should be constant\n         * @method getFixedTime\n         * @return {number} number of milliseconds the graph has been running\n         */\n    getFixedTime() {\n      return this.fixedtime;\n    }\n    /**\n         * Returns the amount of time it took to compute the latest iteration. Take into account that this number could be not correct\n         * if the nodes are using graphical actions\n         * @method getElapsedTime\n         * @return {number} number of milliseconds it took the last cycle\n         */\n    getElapsedTime() {\n      return this.elapsed_time;\n    }\n    /**\n         * Sends an event to all the nodes, useful to trigger stuff\n         * @method sendEventToAllNodes\n         * @param {String} eventname the name of the event (function to be called)\n         * @param {Array} params parameters in array format\n         */\n    sendEventToAllNodes(eventname, params, mode) {\n      mode = mode || LiteGraph.ALWAYS;\n      var nodes = this._nodes_in_order ? this._nodes_in_order : this._nodes;\n      if (!nodes) {\n        return;\n      }\n      for (var j = 0, l = nodes.length; j < l; ++j) {\n        var node2 = nodes[j];\n        if (node2.constructor === LiteGraph.Subgraph && eventname != \"onExecute\") {\n          if (node2.mode == mode) {\n            node2.sendEventToAllNodes(eventname, params, mode);\n          }\n          continue;\n        }\n        if (!node2[eventname] || node2.mode != mode) {\n          continue;\n        }\n        if (params === void 0) {\n          node2[eventname]();\n        } else if (params && params.constructor === Array) {\n          node2[eventname].apply(node2, params);\n        } else {\n          node2[eventname](params);\n        }\n      }\n    }\n    sendActionToCanvas(action, params) {\n      if (!this.list_of_graphcanvas) {\n        return;\n      }\n      for (var i2 = 0; i2 < this.list_of_graphcanvas.length; ++i2) {\n        var c = this.list_of_graphcanvas[i2];\n        if (c[action]) {\n          c[action].apply(c, params);\n        }\n      }\n    }\n    /**\n         * Adds a new node instance to this graph\n         * @method add\n         * @param {LGraphNode} node the instance of the node\n         */\n    add(node2, skip_compute_order) {\n      if (!node2) {\n        return;\n      }\n      if (node2.constructor === LGraphGroup) {\n        this._groups.push(node2);\n        this.setDirtyCanvas(true);\n        this.change();\n        node2.graph = this;\n        this._version++;\n        return;\n      }\n      if (node2.id != -1 && this._nodes_by_id[node2.id] != null) {\n        console.warn(\n          \"LiteGraph: there is already a node with this ID, changing it\"\n        );\n        if (LiteGraph.use_uuids) {\n          node2.id = LiteGraph.uuidv4();\n        } else {\n          node2.id = ++this.last_node_id;\n        }\n      }\n      if (this._nodes.length >= LiteGraph.MAX_NUMBER_OF_NODES) {\n        throw \"LiteGraph: max number of nodes in a graph reached\";\n      }\n      if (LiteGraph.use_uuids) {\n        if (node2.id == null || node2.id == -1)\n          node2.id = LiteGraph.uuidv4();\n      } else {\n        if (node2.id == null || node2.id == -1) {\n          node2.id = ++this.last_node_id;\n        } else if (this.last_node_id < node2.id) {\n          this.last_node_id = node2.id;\n        }\n      }\n      node2.graph = this;\n      this._version++;\n      this._nodes.push(node2);\n      this._nodes_by_id[node2.id] = node2;\n      if (node2.onAdded) {\n        node2.onAdded(this);\n      }\n      if (this.config.align_to_grid) {\n        node2.alignToGrid();\n      }\n      if (!skip_compute_order) {\n        this.updateExecutionOrder();\n      }\n      if (this.onNodeAdded) {\n        this.onNodeAdded(node2);\n      }\n      this.setDirtyCanvas(true);\n      this.change();\n      return node2;\n    }\n    /**\n         * Removes a node from the graph\n         * @method remove\n         * @param {LGraphNode} node the instance of the node\n         */\n    remove(node2) {\n      if (node2.constructor === LiteGraph.LGraphGroup) {\n        var index2 = this._groups.indexOf(node2);\n        if (index2 != -1) {\n          this._groups.splice(index2, 1);\n        }\n        node2.graph = null;\n        this._version++;\n        this.setDirtyCanvas(true, true);\n        this.change();\n        return;\n      }\n      if (this._nodes_by_id[node2.id] == null) {\n        return;\n      }\n      if (node2.ignore_remove) {\n        return;\n      }\n      this.beforeChange();\n      if (node2.inputs) {\n        for (var i2 = 0; i2 < node2.inputs.length; i2++) {\n          var slot = node2.inputs[i2];\n          if (slot.link != null) {\n            node2.disconnectInput(i2);\n          }\n        }\n      }\n      if (node2.outputs) {\n        for (var i2 = 0; i2 < node2.outputs.length; i2++) {\n          var slot = node2.outputs[i2];\n          if (slot.links != null && slot.links.length) {\n            node2.disconnectOutput(i2);\n          }\n        }\n      }\n      if (node2.onRemoved) {\n        node2.onRemoved();\n      }\n      node2.graph = null;\n      this._version++;\n      if (this.list_of_graphcanvas) {\n        for (var i2 = 0; i2 < this.list_of_graphcanvas.length; ++i2) {\n          var canvas = this.list_of_graphcanvas[i2];\n          if (canvas.selected_nodes[node2.id]) {\n            delete canvas.selected_nodes[node2.id];\n          }\n          if (canvas.node_dragged == node2) {\n            canvas.node_dragged = null;\n          }\n        }\n      }\n      var pos2 = this._nodes.indexOf(node2);\n      if (pos2 != -1) {\n        this._nodes.splice(pos2, 1);\n      }\n      delete this._nodes_by_id[node2.id];\n      if (this.onNodeRemoved) {\n        this.onNodeRemoved(node2);\n      }\n      this.sendActionToCanvas(\"checkPanels\");\n      this.setDirtyCanvas(true, true);\n      this.afterChange();\n      this.change();\n      this.updateExecutionOrder();\n    }\n    /**\n         * Returns a node by its id.\n         * @method getNodeById\n         * @param {Number} id\n         */\n    getNodeById(id) {\n      if (id == null) {\n        return null;\n      }\n      return this._nodes_by_id[id];\n    }\n    /**\n         * Returns a list of nodes that matches a class\n         * @method findNodesByClass\n         * @param {Class} classObject the class itself (not an string)\n         * @return {Array} a list with all the nodes of this type\n         */\n    findNodesByClass(classObject, result) {\n      result = result || [];\n      result.length = 0;\n      for (var i2 = 0, l = this._nodes.length; i2 < l; ++i2) {\n        if (this._nodes[i2].constructor === classObject) {\n          result.push(this._nodes[i2]);\n        }\n      }\n      return result;\n    }\n    /**\n         * Returns a list of nodes that matches a type\n         * @method findNodesByType\n         * @param {String} type the name of the node type\n         * @return {Array} a list with all the nodes of this type\n         */\n    findNodesByType(type, result) {\n      var type = type.toLowerCase();\n      result = result || [];\n      result.length = 0;\n      for (var i2 = 0, l = this._nodes.length; i2 < l; ++i2) {\n        if (this._nodes[i2].type.toLowerCase() == type) {\n          result.push(this._nodes[i2]);\n        }\n      }\n      return result;\n    }\n    /**\n         * Returns the first node that matches a name in its title\n         * @method findNodeByTitle\n         * @param {String} name the name of the node to search\n         * @return {Node} the node or null\n         */\n    findNodeByTitle(title) {\n      for (var i2 = 0, l = this._nodes.length; i2 < l; ++i2) {\n        if (this._nodes[i2].title == title) {\n          return this._nodes[i2];\n        }\n      }\n      return null;\n    }\n    /**\n         * Returns a list of nodes that matches a name\n         * @method findNodesByTitle\n         * @param {String} name the name of the node to search\n         * @return {Array} a list with all the nodes with this name\n         */\n    findNodesByTitle(title) {\n      var result = [];\n      for (var i2 = 0, l = this._nodes.length; i2 < l; ++i2) {\n        if (this._nodes[i2].title == title) {\n          result.push(this._nodes[i2]);\n        }\n      }\n      return result;\n    }\n    /**\n         * Returns the top-most node in this position of the canvas\n         * @method getNodeOnPos\n         * @param {number} x the x coordinate in canvas space\n         * @param {number} y the y coordinate in canvas space\n         * @param {Array} nodes_list a list with all the nodes to search from, by default is all the nodes in the graph\n         * @return {LGraphNode} the node at this position or null\n         */\n    getNodeOnPos(x2, y2, nodes_list, margin) {\n      nodes_list = nodes_list || this._nodes;\n      var nRet = null;\n      for (var i2 = nodes_list.length - 1; i2 >= 0; i2--) {\n        var n = nodes_list[i2];\n        var skip_title = n.constructor.title_mode == LiteGraph.NO_TITLE;\n        if (n.isPointInside(x2, y2, margin, skip_title)) {\n          return n;\n        }\n      }\n      return nRet;\n    }\n    /**\n         * Returns the top-most group in that position\n         * @method getGroupOnPos\n         * @param {number} x the x coordinate in canvas space\n         * @param {number} y the y coordinate in canvas space\n         * @return {LGraphGroup} the group or null\n         */\n    getGroupOnPos(x2, y2) {\n      for (var i2 = this._groups.length - 1; i2 >= 0; i2--) {\n        var g = this._groups[i2];\n        if (g.isPointInside(x2, y2, 2, true)) {\n          return g;\n        }\n      }\n      return null;\n    }\n    /**\n         * Checks that the node type matches the node type registered, used when replacing a nodetype by a newer version during execution\n         * this replaces the ones using the old version with the new version\n         * @method checkNodeTypes\n         */\n    checkNodeTypes() {\n      for (var i2 = 0; i2 < this._nodes.length; i2++) {\n        var node2 = this._nodes[i2];\n        var ctor = LiteGraph.registered_node_types[node2.type];\n        if (node2.constructor == ctor) {\n          continue;\n        }\n        console.log(\"node being replaced by newer version: \" + node2.type);\n        var newnode = LiteGraph.createNode(node2.type);\n        this._nodes[i2] = newnode;\n        newnode.configure(node2.serialize());\n        newnode.graph = this;\n        this._nodes_by_id[newnode.id] = newnode;\n        if (node2.inputs) {\n          newnode.inputs = node2.inputs.concat();\n        }\n        if (node2.outputs) {\n          newnode.outputs = node2.outputs.concat();\n        }\n      }\n      this.updateExecutionOrder();\n    }\n    // ********** GLOBALS *****************\n    onAction(action, param, options) {\n      this._input_nodes = this.findNodesByClass(\n        LiteGraph.GraphInput,\n        this._input_nodes\n      );\n      for (var i2 = 0; i2 < this._input_nodes.length; ++i2) {\n        var node2 = this._input_nodes[i2];\n        if (node2.properties.name != action) {\n          continue;\n        }\n        node2.actionDo(action, param, options);\n        break;\n      }\n    }\n    trigger(action, param) {\n      if (this.onTrigger) {\n        this.onTrigger(action, param);\n      }\n    }\n    /**\n         * Tell this graph it has a global graph input of this type\n         * @method addGlobalInput\n         * @param {String} name\n         * @param {String} type\n         * @param {*} value [optional]\n         */\n    addInput(name, type, value) {\n      var input = this.inputs[name];\n      if (input) {\n        return;\n      }\n      this.beforeChange();\n      this.inputs[name] = { name, type, value };\n      this._version++;\n      this.afterChange();\n      if (this.onInputAdded) {\n        this.onInputAdded(name, type);\n      }\n      if (this.onInputsOutputsChange) {\n        this.onInputsOutputsChange();\n      }\n    }\n    /**\n         * Assign a data to the global graph input\n         * @method setGlobalInputData\n         * @param {String} name\n         * @param {*} data\n         */\n    setInputData(name, data) {\n      var input = this.inputs[name];\n      if (!input) {\n        return;\n      }\n      input.value = data;\n    }\n    /**\n         * Returns the current value of a global graph input\n         * @method getInputData\n         * @param {String} name\n         * @return {*} the data\n         */\n    getInputData(name) {\n      var input = this.inputs[name];\n      if (!input) {\n        return null;\n      }\n      return input.value;\n    }\n    /**\n         * Changes the name of a global graph input\n         * @method renameInput\n         * @param {String} old_name\n         * @param {String} new_name\n         */\n    renameInput(old_name, name) {\n      if (name == old_name) {\n        return;\n      }\n      if (!this.inputs[old_name]) {\n        return false;\n      }\n      if (this.inputs[name]) {\n        console.error(\"there is already one input with that name\");\n        return false;\n      }\n      this.inputs[name] = this.inputs[old_name];\n      delete this.inputs[old_name];\n      this._version++;\n      if (this.onInputRenamed) {\n        this.onInputRenamed(old_name, name);\n      }\n      if (this.onInputsOutputsChange) {\n        this.onInputsOutputsChange();\n      }\n    }\n    /**\n         * Changes the type of a global graph input\n         * @method changeInputType\n         * @param {String} name\n         * @param {String} type\n         */\n    changeInputType(name, type) {\n      if (!this.inputs[name]) {\n        return false;\n      }\n      if (this.inputs[name].type && String(this.inputs[name].type).toLowerCase() == String(type).toLowerCase()) {\n        return;\n      }\n      this.inputs[name].type = type;\n      this._version++;\n      if (this.onInputTypeChanged) {\n        this.onInputTypeChanged(name, type);\n      }\n    }\n    /**\n         * Removes a global graph input\n         * @method removeInput\n         * @param {String} name\n         * @param {String} type\n         */\n    removeInput(name) {\n      if (!this.inputs[name]) {\n        return false;\n      }\n      delete this.inputs[name];\n      this._version++;\n      if (this.onInputRemoved) {\n        this.onInputRemoved(name);\n      }\n      if (this.onInputsOutputsChange) {\n        this.onInputsOutputsChange();\n      }\n      return true;\n    }\n    /**\n         * Creates a global graph output\n         * @method addOutput\n         * @param {String} name\n         * @param {String} type\n         * @param {*} value\n         */\n    addOutput(name, type, value) {\n      this.outputs[name] = { name, type, value };\n      this._version++;\n      if (this.onOutputAdded) {\n        this.onOutputAdded(name, type);\n      }\n      if (this.onInputsOutputsChange) {\n        this.onInputsOutputsChange();\n      }\n    }\n    /**\n         * Assign a data to the global output\n         * @method setOutputData\n         * @param {String} name\n         * @param {String} value\n         */\n    setOutputData(name, value) {\n      var output = this.outputs[name];\n      if (!output) {\n        return;\n      }\n      output.value = value;\n    }\n    /**\n         * Returns the current value of a global graph output\n         * @method getOutputData\n         * @param {String} name\n         * @return {*} the data\n         */\n    getOutputData(name) {\n      var output = this.outputs[name];\n      if (!output) {\n        return null;\n      }\n      return output.value;\n    }\n    /**\n         * Renames a global graph output\n         * @method renameOutput\n         * @param {String} old_name\n         * @param {String} new_name\n         */\n    renameOutput(old_name, name) {\n      if (!this.outputs[old_name]) {\n        return false;\n      }\n      if (this.outputs[name]) {\n        console.error(\"there is already one output with that name\");\n        return false;\n      }\n      this.outputs[name] = this.outputs[old_name];\n      delete this.outputs[old_name];\n      this._version++;\n      if (this.onOutputRenamed) {\n        this.onOutputRenamed(old_name, name);\n      }\n      if (this.onInputsOutputsChange) {\n        this.onInputsOutputsChange();\n      }\n    }\n    /**\n         * Changes the type of a global graph output\n         * @method changeOutputType\n         * @param {String} name\n         * @param {String} type\n         */\n    changeOutputType(name, type) {\n      if (!this.outputs[name]) {\n        return false;\n      }\n      if (this.outputs[name].type && String(this.outputs[name].type).toLowerCase() == String(type).toLowerCase()) {\n        return;\n      }\n      this.outputs[name].type = type;\n      this._version++;\n      if (this.onOutputTypeChanged) {\n        this.onOutputTypeChanged(name, type);\n      }\n    }\n    /**\n         * Removes a global graph output\n         * @method removeOutput\n         * @param {String} name\n         */\n    removeOutput(name) {\n      if (!this.outputs[name]) {\n        return false;\n      }\n      delete this.outputs[name];\n      this._version++;\n      if (this.onOutputRemoved) {\n        this.onOutputRemoved(name);\n      }\n      if (this.onInputsOutputsChange) {\n        this.onInputsOutputsChange();\n      }\n      return true;\n    }\n    triggerInput(name, value) {\n      var nodes = this.findNodesByTitle(name);\n      for (var i2 = 0; i2 < nodes.length; ++i2) {\n        nodes[i2].onTrigger(value);\n      }\n    }\n    setCallback(name, func) {\n      var nodes = this.findNodesByTitle(name);\n      for (var i2 = 0; i2 < nodes.length; ++i2) {\n        nodes[i2].setTrigger(func);\n      }\n    }\n    //used for undo, called before any change is made to the graph\n    beforeChange(info) {\n      if (this.onBeforeChange) {\n        this.onBeforeChange(this, info);\n      }\n      this.sendActionToCanvas(\"onBeforeChange\", this);\n    }\n    //used to resend actions, called after any change is made to the graph\n    afterChange(info) {\n      if (this.onAfterChange) {\n        this.onAfterChange(this, info);\n      }\n      this.sendActionToCanvas(\"onAfterChange\", this);\n    }\n    connectionChange(node2, link_info) {\n      this.updateExecutionOrder();\n      if (this.onConnectionChange) {\n        this.onConnectionChange(node2);\n      }\n      this._version++;\n      this.sendActionToCanvas(\"onConnectionChange\");\n    }\n    /**\n         * returns if the graph is in live mode\n         * @method isLive\n         */\n    isLive() {\n      if (!this.list_of_graphcanvas) {\n        return false;\n      }\n      for (var i2 = 0; i2 < this.list_of_graphcanvas.length; ++i2) {\n        var c = this.list_of_graphcanvas[i2];\n        if (c.live_mode) {\n          return true;\n        }\n      }\n      return false;\n    }\n    /**\n         * clears the triggered slot animation in all links (stop visual animation)\n         * @method clearTriggeredSlots\n         */\n    clearTriggeredSlots() {\n      for (var i2 in this.links) {\n        var link_info = this.links[i2];\n        if (!link_info) {\n          continue;\n        }\n        if (link_info._last_time) {\n          link_info._last_time = 0;\n        }\n      }\n    }\n    /* Called when something visually changed (not the graph!) */\n    change() {\n      if (LiteGraph.debug) {\n        console.log(\"Graph changed\");\n      }\n      this.sendActionToCanvas(\"setDirty\", [true, true]);\n      if (this.on_change) {\n        this.on_change(this);\n      }\n    }\n    setDirtyCanvas(fg, bg) {\n      this.sendActionToCanvas(\"setDirty\", [fg, bg]);\n    }\n    /**\n         * Destroys a link\n         * @method removeLink\n         * @param {Number} link_id\n         */\n    removeLink(link_id) {\n      var link = this.links[link_id];\n      if (!link) {\n        return;\n      }\n      var node2 = this.getNodeById(link.target_id);\n      if (node2) {\n        node2.disconnectInput(link.target_slot);\n      }\n    }\n    //save and recover app state ***************************************\n    /**\n         * Creates a Object containing all the info about this graph, it can be serialized\n         * @method serialize\n         * @return {Object} value of the node\n         */\n    serialize(option = { sortNodes: false }) {\n      var nodes_info = [];\n      nodes_info = ((option == null ? void 0 : option.sortNodes) ? [...this._nodes].sort((a, b) => a.id - b.id) : this._nodes).map((node2) => node2.serialize());\n      var links = [];\n      for (var i2 in this.links) {\n        var link = this.links[i2];\n        if (!link.serialize) {\n          console.warn(\n            \"weird LLink bug, link info is not a LLink but a regular object\"\n          );\n          var link2 = new LLink();\n          for (var j in link) {\n            link2[j] = link[j];\n          }\n          this.links[i2] = link2;\n          link = link2;\n        }\n        links.push(link.serialize());\n      }\n      var groups_info = [];\n      for (var i2 = 0; i2 < this._groups.length; ++i2) {\n        groups_info.push(this._groups[i2].serialize());\n      }\n      var data = {\n        last_node_id: this.last_node_id,\n        last_link_id: this.last_link_id,\n        nodes: nodes_info,\n        links,\n        groups: groups_info,\n        config: this.config,\n        extra: this.extra,\n        version: LiteGraph.VERSION\n      };\n      if (this.onSerialize)\n        this.onSerialize(data);\n      return data;\n    }\n    /**\n         * Configure a graph from a JSON string\n         * @method configure\n         * @param {String} str configure a graph from a JSON string\n         * @param {Boolean} returns if there was any error parsing\n         */\n    configure(data, keep_old) {\n      if (!data) {\n        return;\n      }\n      if (!keep_old) {\n        this.clear();\n      }\n      var nodes = data.nodes;\n      if (data.links && data.links.constructor === Array) {\n        var links = [];\n        for (var i2 = 0; i2 < data.links.length; ++i2) {\n          var link_data = data.links[i2];\n          if (!link_data) {\n            console.warn(\"serialized graph link data contains errors, skipping.\");\n            continue;\n          }\n          var link = new LLink();\n          link.configure(link_data);\n          links[link.id] = link;\n        }\n        data.links = links;\n      }\n      for (var i2 in data) {\n        if (i2 == \"nodes\" || i2 == \"groups\")\n          continue;\n        this[i2] = data[i2];\n      }\n      var error = false;\n      this._nodes = [];\n      if (nodes) {\n        for (var i2 = 0, l = nodes.length; i2 < l; ++i2) {\n          var n_info = nodes[i2];\n          var node2 = LiteGraph.createNode(n_info.type, n_info.title);\n          if (!node2) {\n            if (LiteGraph.debug) {\n              console.log(\n                \"Node not found or has errors: \" + n_info.type\n              );\n            }\n            node2 = new LGraphNode();\n            node2.last_serialization = n_info;\n            node2.has_errors = true;\n            error = true;\n          }\n          node2.id = n_info.id;\n          this.add(node2, true);\n        }\n        for (var i2 = 0, l = nodes.length; i2 < l; ++i2) {\n          var n_info = nodes[i2];\n          var node2 = this.getNodeById(n_info.id);\n          if (node2) {\n            node2.configure(n_info);\n          }\n        }\n      }\n      this._groups.length = 0;\n      if (data.groups) {\n        for (var i2 = 0; i2 < data.groups.length; ++i2) {\n          var group = new LiteGraph.LGraphGroup();\n          group.configure(data.groups[i2]);\n          this.add(group);\n        }\n      }\n      this.updateExecutionOrder();\n      this.extra = data.extra || {};\n      if (this.onConfigure)\n        this.onConfigure(data);\n      this._version++;\n      this.setDirtyCanvas(true, true);\n      return error;\n    }\n    load(url, callback) {\n      var that2 = this;\n      if (url.constructor === File || url.constructor === Blob) {\n        var reader = new FileReader();\n        reader.addEventListener(\"load\", function(event2) {\n          var data = JSON.parse(event2.target.result);\n          that2.configure(data);\n          if (callback)\n            callback();\n        });\n        reader.readAsText(url);\n        return;\n      }\n      var req = new XMLHttpRequest();\n      req.open(\"GET\", url, true);\n      req.send(null);\n      req.onload = function(oEvent) {\n        if (req.status !== 200) {\n          console.error(\"Error loading graph:\", req.status, req.response);\n          return;\n        }\n        var data = JSON.parse(req.response);\n        that2.configure(data);\n        if (callback)\n          callback();\n      };\n      req.onerror = function(err) {\n        console.error(\"Error loading graph:\", err);\n      };\n    }\n    onNodeTrace(node2, msg, color) {\n    }\n  };\n  //default supported types\n  __publicField(_LGraph, \"supported_types\", [\"number\", \"string\", \"boolean\"]);\n  __publicField(_LGraph, \"STATUS_STOPPED\", 1);\n  __publicField(_LGraph, \"STATUS_RUNNING\", 2);\n  let LGraph = _LGraph;\n  globalThis.LGraph = LiteGraph.LGraph = LGraph;\n  class LLink {\n    constructor(id, type, origin_id, origin_slot, target_id, target_slot) {\n      this.id = id;\n      this.type = type;\n      this.origin_id = origin_id;\n      this.origin_slot = origin_slot;\n      this.target_id = target_id;\n      this.target_slot = target_slot;\n      this._data = null;\n      this._pos = new Float32Array(2);\n    }\n    configure(o) {\n      if (o.constructor === Array) {\n        this.id = o[0];\n        this.origin_id = o[1];\n        this.origin_slot = o[2];\n        this.target_id = o[3];\n        this.target_slot = o[4];\n        this.type = o[5];\n      } else {\n        this.id = o.id;\n        this.type = o.type;\n        this.origin_id = o.origin_id;\n        this.origin_slot = o.origin_slot;\n        this.target_id = o.target_id;\n        this.target_slot = o.target_slot;\n      }\n    }\n    serialize() {\n      return [\n        this.id,\n        this.origin_id,\n        this.origin_slot,\n        this.target_id,\n        this.target_slot,\n        this.type\n      ];\n    }\n  }\n  LiteGraph.LLink = LLink;\n  class LGraphNode {\n    constructor(title) {\n      this._ctor(title);\n    }\n    _ctor(title) {\n      this.title = title || \"Unnamed\";\n      this.size = [LiteGraph.NODE_WIDTH, 60];\n      this.graph = null;\n      this._pos = new Float32Array(10, 10);\n      Object.defineProperty(this, \"pos\", {\n        set: function(v2) {\n          if (!v2 || v2.length < 2) {\n            return;\n          }\n          this._pos[0] = v2[0];\n          this._pos[1] = v2[1];\n        },\n        get: function() {\n          return this._pos;\n        },\n        enumerable: true\n      });\n      if (LiteGraph.use_uuids) {\n        this.id = LiteGraph.uuidv4();\n      } else {\n        this.id = -1;\n      }\n      this.type = null;\n      this.inputs = [];\n      this.outputs = [];\n      this.connections = [];\n      this.properties = {};\n      this.properties_info = [];\n      this.flags = {};\n    }\n    /**\n         * configure a node from an object containing the serialized info\n         * @method configure\n         */\n    configure(info) {\n      if (this.graph) {\n        this.graph._version++;\n      }\n      for (var j in info) {\n        if (j == \"properties\") {\n          for (var k in info.properties) {\n            this.properties[k] = info.properties[k];\n            if (this.onPropertyChanged) {\n              this.onPropertyChanged(k, info.properties[k]);\n            }\n          }\n          continue;\n        }\n        if (info[j] == null) {\n          continue;\n        } else if (typeof info[j] == \"object\") {\n          if (this[j] && this[j].configure) {\n            this[j].configure(info[j]);\n          } else {\n            this[j] = LiteGraph.cloneObject(info[j], this[j]);\n          }\n        } else {\n          this[j] = info[j];\n        }\n      }\n      if (!info.title) {\n        this.title = this.constructor.title;\n      }\n      if (this.inputs) {\n        for (var i2 = 0; i2 < this.inputs.length; ++i2) {\n          var input = this.inputs[i2];\n          var link_info = this.graph ? this.graph.links[input.link] : null;\n          if (this.onConnectionsChange)\n            this.onConnectionsChange(LiteGraph.INPUT, i2, true, link_info, input);\n          if (this.onInputAdded)\n            this.onInputAdded(input);\n        }\n      }\n      if (this.outputs) {\n        for (var i2 = 0; i2 < this.outputs.length; ++i2) {\n          var output = this.outputs[i2];\n          if (!output.links) {\n            continue;\n          }\n          for (var j = 0; j < output.links.length; ++j) {\n            var link_info = this.graph ? this.graph.links[output.links[j]] : null;\n            if (this.onConnectionsChange)\n              this.onConnectionsChange(LiteGraph.OUTPUT, i2, true, link_info, output);\n          }\n          if (this.onOutputAdded)\n            this.onOutputAdded(output);\n        }\n      }\n      if (this.widgets) {\n        for (var i2 = 0; i2 < this.widgets.length; ++i2) {\n          var w2 = this.widgets[i2];\n          if (!w2)\n            continue;\n          if (w2.options && w2.options.property && this.properties[w2.options.property] != void 0)\n            w2.value = JSON.parse(JSON.stringify(this.properties[w2.options.property]));\n        }\n        if (info.widgets_values) {\n          for (var i2 = 0; i2 < info.widgets_values.length; ++i2) {\n            if (this.widgets[i2]) {\n              this.widgets[i2].value = info.widgets_values[i2];\n            }\n          }\n        }\n      }\n      if (this.onConfigure) {\n        this.onConfigure(info);\n      }\n    }\n    /**\n         * serialize the content\n         * @method serialize\n         */\n    serialize() {\n      var o = {\n        id: this.id,\n        type: this.type,\n        pos: this.pos,\n        size: this.size,\n        flags: LiteGraph.cloneObject(this.flags),\n        order: this.order,\n        mode: this.mode\n      };\n      if (this.constructor === LGraphNode && this.last_serialization) {\n        return this.last_serialization;\n      }\n      if (this.inputs) {\n        o.inputs = this.inputs;\n      }\n      if (this.outputs) {\n        for (var i2 = 0; i2 < this.outputs.length; i2++) {\n          delete this.outputs[i2]._data;\n        }\n        o.outputs = this.outputs;\n      }\n      if (this.title && this.title != this.constructor.title) {\n        o.title = this.title;\n      }\n      if (this.properties) {\n        o.properties = LiteGraph.cloneObject(this.properties);\n      }\n      if (this.widgets && this.serialize_widgets) {\n        o.widgets_values = [];\n        for (var i2 = 0; i2 < this.widgets.length; ++i2) {\n          if (this.widgets[i2])\n            o.widgets_values[i2] = this.widgets[i2].value;\n          else\n            o.widgets_values[i2] = null;\n        }\n      }\n      if (!o.type) {\n        o.type = this.constructor.type;\n      }\n      if (this.color) {\n        o.color = this.color;\n      }\n      if (this.bgcolor) {\n        o.bgcolor = this.bgcolor;\n      }\n      if (this.boxcolor) {\n        o.boxcolor = this.boxcolor;\n      }\n      if (this.shape) {\n        o.shape = this.shape;\n      }\n      if (this.onSerialize) {\n        if (this.onSerialize(o)) {\n          console.warn(\n            \"node onSerialize shouldnt return anything, data should be stored in the object pass in the first parameter\"\n          );\n        }\n      }\n      return o;\n    }\n    /* Creates a clone of this node */\n    clone() {\n      var node2 = LiteGraph.createNode(this.type);\n      if (!node2) {\n        return null;\n      }\n      var data = LiteGraph.cloneObject(this.serialize());\n      if (data.inputs) {\n        for (var i2 = 0; i2 < data.inputs.length; ++i2) {\n          data.inputs[i2].link = null;\n        }\n      }\n      if (data.outputs) {\n        for (var i2 = 0; i2 < data.outputs.length; ++i2) {\n          if (data.outputs[i2].links) {\n            data.outputs[i2].links.length = 0;\n          }\n        }\n      }\n      delete data[\"id\"];\n      if (LiteGraph.use_uuids) {\n        data[\"id\"] = LiteGraph.uuidv4();\n      }\n      node2.configure(data);\n      return node2;\n    }\n    /**\n         * serialize and stringify\n         * @method toString\n         */\n    toString() {\n      return JSON.stringify(this.serialize());\n    }\n    //LGraphNode.prototype.deserialize = function(info) {} //this cannot be done from within, must be done in LiteGraph\n    /**\n         * get the title string\n         * @method getTitle\n         */\n    getTitle() {\n      return this.title || this.constructor.title;\n    }\n    /**\n         * sets the value of a property\n         * @method setProperty\n         * @param {String} name\n         * @param {*} value\n         */\n    setProperty(name, value) {\n      if (!this.properties) {\n        this.properties = {};\n      }\n      if (value === this.properties[name])\n        return;\n      var prev_value = this.properties[name];\n      this.properties[name] = value;\n      if (this.onPropertyChanged) {\n        if (this.onPropertyChanged(name, value, prev_value) === false)\n          this.properties[name] = prev_value;\n      }\n      if (this.widgets)\n        for (var i2 = 0; i2 < this.widgets.length; ++i2) {\n          var w2 = this.widgets[i2];\n          if (!w2)\n            continue;\n          if (w2.options.property == name) {\n            w2.value = value;\n            break;\n          }\n        }\n    }\n    // Execution *************************\n    /**\n         * sets the output data\n         * @method setOutputData\n         * @param {number} slot\n         * @param {*} data\n         */\n    setOutputData(slot, data) {\n      if (!this.outputs) {\n        return;\n      }\n      if (slot == -1 || slot >= this.outputs.length) {\n        return;\n      }\n      var output_info = this.outputs[slot];\n      if (!output_info) {\n        return;\n      }\n      output_info._data = data;\n      if (this.outputs[slot].links) {\n        for (var i2 = 0; i2 < this.outputs[slot].links.length; i2++) {\n          var link_id = this.outputs[slot].links[i2];\n          var link = this.graph.links[link_id];\n          if (link)\n            link.data = data;\n        }\n      }\n    }\n    /**\n         * sets the output data type, useful when you want to be able to overwrite the data type\n         * @method setOutputDataType\n         * @param {number} slot\n         * @param {String} datatype\n         */\n    setOutputDataType(slot, type) {\n      if (!this.outputs) {\n        return;\n      }\n      if (slot == -1 || slot >= this.outputs.length) {\n        return;\n      }\n      var output_info = this.outputs[slot];\n      if (!output_info) {\n        return;\n      }\n      output_info.type = type;\n      if (this.outputs[slot].links) {\n        for (var i2 = 0; i2 < this.outputs[slot].links.length; i2++) {\n          var link_id = this.outputs[slot].links[i2];\n          this.graph.links[link_id].type = type;\n        }\n      }\n    }\n    /**\n         * Retrieves the input data (data traveling through the connection) from one slot\n         * @method getInputData\n         * @param {number} slot\n         * @param {boolean} force_update if set to true it will force the connected node of this slot to output data into this link\n         * @return {*} data or if it is not connected returns undefined\n         */\n    getInputData(slot, force_update) {\n      if (!this.inputs) {\n        return;\n      }\n      if (slot >= this.inputs.length || this.inputs[slot].link == null) {\n        return;\n      }\n      var link_id = this.inputs[slot].link;\n      var link = this.graph.links[link_id];\n      if (!link) {\n        return null;\n      }\n      if (!force_update) {\n        return link.data;\n      }\n      var node2 = this.graph.getNodeById(link.origin_id);\n      if (!node2) {\n        return link.data;\n      }\n      if (node2.updateOutputData) {\n        node2.updateOutputData(link.origin_slot);\n      } else if (node2.onExecute) {\n        node2.onExecute();\n      }\n      return link.data;\n    }\n    /**\n         * Retrieves the input data type (in case this supports multiple input types)\n         * @method getInputDataType\n         * @param {number} slot\n         * @return {String} datatype in string format\n         */\n    getInputDataType(slot) {\n      if (!this.inputs) {\n        return null;\n      }\n      if (slot >= this.inputs.length || this.inputs[slot].link == null) {\n        return null;\n      }\n      var link_id = this.inputs[slot].link;\n      var link = this.graph.links[link_id];\n      if (!link) {\n        return null;\n      }\n      var node2 = this.graph.getNodeById(link.origin_id);\n      if (!node2) {\n        return link.type;\n      }\n      var output_info = node2.outputs[link.origin_slot];\n      if (output_info) {\n        return output_info.type;\n      }\n      return null;\n    }\n    /**\n         * Retrieves the input data from one slot using its name instead of slot number\n         * @method getInputDataByName\n         * @param {String} slot_name\n         * @param {boolean} force_update if set to true it will force the connected node of this slot to output data into this link\n         * @return {*} data or if it is not connected returns null\n         */\n    getInputDataByName(slot_name, force_update) {\n      var slot = this.findInputSlot(slot_name);\n      if (slot == -1) {\n        return null;\n      }\n      return this.getInputData(slot, force_update);\n    }\n    /**\n         * tells you if there is a connection in one input slot\n         * @method isInputConnected\n         * @param {number} slot\n         * @return {boolean}\n         */\n    isInputConnected(slot) {\n      if (!this.inputs) {\n        return false;\n      }\n      return slot < this.inputs.length && this.inputs[slot].link != null;\n    }\n    /**\n         * tells you info about an input connection (which node, type, etc)\n         * @method getInputInfo\n         * @param {number} slot\n         * @return {Object} object or null { link: id, name: string, type: string or 0 }\n         */\n    getInputInfo(slot) {\n      if (!this.inputs) {\n        return null;\n      }\n      if (slot < this.inputs.length) {\n        return this.inputs[slot];\n      }\n      return null;\n    }\n    /**\n         * Returns the link info in the connection of an input slot\n         * @method getInputLink\n         * @param {number} slot\n         * @return {LLink} object or null\n         */\n    getInputLink(slot) {\n      if (!this.inputs) {\n        return null;\n      }\n      if (slot < this.inputs.length) {\n        var slot_info = this.inputs[slot];\n        return this.graph.links[slot_info.link];\n      }\n      return null;\n    }\n    /**\n         * returns the node connected in the input slot\n         * @method getInputNode\n         * @param {number} slot\n         * @return {LGraphNode} node or null\n         */\n    getInputNode(slot) {\n      if (!this.inputs) {\n        return null;\n      }\n      if (slot >= this.inputs.length) {\n        return null;\n      }\n      var input = this.inputs[slot];\n      if (!input || input.link === null) {\n        return null;\n      }\n      var link_info = this.graph.links[input.link];\n      if (!link_info) {\n        return null;\n      }\n      return this.graph.getNodeById(link_info.origin_id);\n    }\n    /**\n         * returns the value of an input with this name, otherwise checks if there is a property with that name\n         * @method getInputOrProperty\n         * @param {string} name\n         * @return {*} value\n         */\n    getInputOrProperty(name) {\n      if (!this.inputs || !this.inputs.length) {\n        return this.properties ? this.properties[name] : null;\n      }\n      for (var i2 = 0, l = this.inputs.length; i2 < l; ++i2) {\n        var input_info = this.inputs[i2];\n        if (name == input_info.name && input_info.link != null) {\n          var link = this.graph.links[input_info.link];\n          if (link) {\n            return link.data;\n          }\n        }\n      }\n      return this.properties[name];\n    }\n    /**\n         * tells you the last output data that went in that slot\n         * @method getOutputData\n         * @param {number} slot\n         * @return {Object}  object or null\n         */\n    getOutputData(slot) {\n      if (!this.outputs) {\n        return null;\n      }\n      if (slot >= this.outputs.length) {\n        return null;\n      }\n      var info = this.outputs[slot];\n      return info._data;\n    }\n    /**\n         * tells you info about an output connection (which node, type, etc)\n         * @method getOutputInfo\n         * @param {number} slot\n         * @return {Object}  object or null { name: string, type: string, links: [ ids of links in number ] }\n         */\n    getOutputInfo(slot) {\n      if (!this.outputs) {\n        return null;\n      }\n      if (slot < this.outputs.length) {\n        return this.outputs[slot];\n      }\n      return null;\n    }\n    /**\n         * tells you if there is a connection in one output slot\n         * @method isOutputConnected\n         * @param {number} slot\n         * @return {boolean}\n         */\n    isOutputConnected(slot) {\n      if (!this.outputs) {\n        return false;\n      }\n      return slot < this.outputs.length && this.outputs[slot].links && this.outputs[slot].links.length;\n    }\n    /**\n         * tells you if there is any connection in the output slots\n         * @method isAnyOutputConnected\n         * @return {boolean}\n         */\n    isAnyOutputConnected() {\n      if (!this.outputs) {\n        return false;\n      }\n      for (var i2 = 0; i2 < this.outputs.length; ++i2) {\n        if (this.outputs[i2].links && this.outputs[i2].links.length) {\n          return true;\n        }\n      }\n      return false;\n    }\n    /**\n         * retrieves all the nodes connected to this output slot\n         * @method getOutputNodes\n         * @param {number} slot\n         * @return {array}\n         */\n    getOutputNodes(slot) {\n      if (!this.outputs || this.outputs.length == 0) {\n        return null;\n      }\n      if (slot >= this.outputs.length) {\n        return null;\n      }\n      var output = this.outputs[slot];\n      if (!output.links || output.links.length == 0) {\n        return null;\n      }\n      var r = [];\n      for (var i2 = 0; i2 < output.links.length; i2++) {\n        var link_id = output.links[i2];\n        var link = this.graph.links[link_id];\n        if (link) {\n          var target_node = this.graph.getNodeById(link.target_id);\n          if (target_node) {\n            r.push(target_node);\n          }\n        }\n      }\n      return r;\n    }\n    addOnTriggerInput() {\n      var trigS = this.findInputSlot(\"onTrigger\");\n      if (trigS == -1) {\n        //!trigS || \n        this.addInput(\"onTrigger\", LiteGraph.EVENT, { optional: true, nameLocked: true });\n        return this.findInputSlot(\"onTrigger\");\n      }\n      return trigS;\n    }\n    addOnExecutedOutput() {\n      var trigS = this.findOutputSlot(\"onExecuted\");\n      if (trigS == -1) {\n        //!trigS || \n        this.addOutput(\"onExecuted\", LiteGraph.ACTION, { optional: true, nameLocked: true });\n        return this.findOutputSlot(\"onExecuted\");\n      }\n      return trigS;\n    }\n    onAfterExecuteNode(param, options) {\n      var trigS = this.findOutputSlot(\"onExecuted\");\n      if (trigS != -1) {\n        this.triggerSlot(trigS, param, null, options);\n      }\n    }\n    changeMode(modeTo) {\n      switch (modeTo) {\n        case LiteGraph.ON_EVENT:\n          break;\n        case LiteGraph.ON_TRIGGER:\n          this.addOnTriggerInput();\n          this.addOnExecutedOutput();\n          break;\n        case LiteGraph.NEVER:\n          break;\n        case LiteGraph.ALWAYS:\n          break;\n        case LiteGraph.ON_REQUEST:\n          break;\n        default:\n          return false;\n      }\n      this.mode = modeTo;\n      return true;\n    }\n    /**\n         * Triggers the node code execution, place a boolean/counter to mark the node as being executed\n         * @method execute\n         * @param {*} param\n         * @param {*} options\n         */\n    doExecute(param, options) {\n      options = options || {};\n      if (this.onExecute) {\n        if (!options.action_call) options.action_call = this.id + \"_exec_\" + Math.floor(Math.random() * 9999);\n        this.graph.nodes_executing[this.id] = true;\n        this.onExecute(param, options);\n        this.graph.nodes_executing[this.id] = false;\n        this.exec_version = this.graph.iteration;\n        if (options && options.action_call) {\n          this.action_call = options.action_call;\n          this.graph.nodes_executedAction[this.id] = options.action_call;\n        }\n      }\n      this.execute_triggered = 2;\n      if (this.onAfterExecuteNode) this.onAfterExecuteNode(param, options);\n    }\n    /**\n         * Triggers an action, wrapped by logics to control execution flow\n         * @method actionDo\n         * @param {String} action name\n         * @param {*} param\n         */\n    actionDo(action, param, options) {\n      options = options || {};\n      if (this.onAction) {\n        if (!options.action_call) options.action_call = this.id + \"_\" + (action ? action : \"action\") + \"_\" + Math.floor(Math.random() * 9999);\n        this.graph.nodes_actioning[this.id] = action ? action : \"actioning\";\n        this.onAction(action, param, options);\n        this.graph.nodes_actioning[this.id] = false;\n        if (options && options.action_call) {\n          this.action_call = options.action_call;\n          this.graph.nodes_executedAction[this.id] = options.action_call;\n        }\n      }\n      this.action_triggered = 2;\n      if (this.onAfterExecuteNode) this.onAfterExecuteNode(param, options);\n    }\n    /**\n         * Triggers an event in this node, this will trigger any output with the same name\n         * @method trigger\n         * @param {String} event name ( \"on_play\", ... ) if action is equivalent to false then the event is send to all\n         * @param {*} param\n         */\n    trigger(action, param, options) {\n      if (!this.outputs || !this.outputs.length) {\n        return;\n      }\n      if (this.graph)\n        this.graph._last_trigger_time = LiteGraph.getTime();\n      for (var i2 = 0; i2 < this.outputs.length; ++i2) {\n        var output = this.outputs[i2];\n        if (!output || output.type !== LiteGraph.EVENT || action && output.name != action)\n          continue;\n        this.triggerSlot(i2, param, null, options);\n      }\n    }\n    /**\n         * Triggers a slot event in this node: cycle output slots and launch execute/action on connected nodes\n         * @method triggerSlot\n         * @param {Number} slot the index of the output slot\n         * @param {*} param\n         * @param {Number} link_id [optional] in case you want to trigger and specific output link in a slot\n         */\n    triggerSlot(slot, param, link_id, options) {\n      options = options || {};\n      if (!this.outputs) {\n        return;\n      }\n      if (slot == null) {\n        console.error(\"slot must be a number\");\n        return;\n      }\n      if (slot.constructor !== Number)\n        console.warn(\"slot must be a number, use node.trigger('name') if you want to use a string\");\n      var output = this.outputs[slot];\n      if (!output) {\n        return;\n      }\n      var links = output.links;\n      if (!links || !links.length) {\n        return;\n      }\n      if (this.graph) {\n        this.graph._last_trigger_time = LiteGraph.getTime();\n      }\n      for (var k = 0; k < links.length; ++k) {\n        var id = links[k];\n        if (link_id != null && link_id != id) {\n          continue;\n        }\n        var link_info = this.graph.links[links[k]];\n        if (!link_info) {\n          continue;\n        }\n        link_info._last_time = LiteGraph.getTime();\n        var node2 = this.graph.getNodeById(link_info.target_id);\n        if (!node2) {\n          continue;\n        }\n        var target_connection = node2.inputs[link_info.target_slot];\n        if (node2.mode === LiteGraph.ON_TRIGGER) {\n          if (!options.action_call) options.action_call = this.id + \"_trigg_\" + Math.floor(Math.random() * 9999);\n          if (node2.onExecute) {\n            node2.doExecute(param, options);\n          }\n        } else if (node2.onAction) {\n          if (!options.action_call) options.action_call = this.id + \"_act_\" + Math.floor(Math.random() * 9999);\n          var target_connection = node2.inputs[link_info.target_slot];\n          node2.actionDo(target_connection.name, param, options);\n        }\n      }\n    }\n    /**\n         * clears the trigger slot animation\n         * @method clearTriggeredSlot\n         * @param {Number} slot the index of the output slot\n         * @param {Number} link_id [optional] in case you want to trigger and specific output link in a slot\n         */\n    clearTriggeredSlot(slot, link_id) {\n      if (!this.outputs) {\n        return;\n      }\n      var output = this.outputs[slot];\n      if (!output) {\n        return;\n      }\n      var links = output.links;\n      if (!links || !links.length) {\n        return;\n      }\n      for (var k = 0; k < links.length; ++k) {\n        var id = links[k];\n        if (link_id != null && link_id != id) {\n          continue;\n        }\n        var link_info = this.graph.links[links[k]];\n        if (!link_info) {\n          continue;\n        }\n        link_info._last_time = 0;\n      }\n    }\n    /**\n         * changes node size and triggers callback\n         * @method setSize\n         * @param {vec2} size\n         */\n    setSize(size) {\n      this.size = size;\n      if (this.onResize)\n        this.onResize(this.size);\n    }\n    /**\n         * add a new property to this node\n         * @method addProperty\n         * @param {string} name\n         * @param {*} default_value\n         * @param {string} type string defining the output type (\"vec3\",\"number\",...)\n         * @param {Object} extra_info this can be used to have special properties of the property (like values, etc)\n         */\n    addProperty(name, default_value, type, extra_info) {\n      var o = { name, type, default_value };\n      if (extra_info) {\n        for (var i2 in extra_info) {\n          o[i2] = extra_info[i2];\n        }\n      }\n      if (!this.properties_info) {\n        this.properties_info = [];\n      }\n      this.properties_info.push(o);\n      if (!this.properties) {\n        this.properties = {};\n      }\n      this.properties[name] = default_value;\n      return o;\n    }\n    //connections\n    /**\n         * add a new output slot to use in this node\n         * @method addOutput\n         * @param {string} name\n         * @param {string} type string defining the output type (\"vec3\",\"number\",...)\n         * @param {Object} extra_info this can be used to have special properties of an output (label, special color, position, etc)\n         */\n    addOutput(name, type, extra_info) {\n      var output = { name, type, links: null };\n      if (extra_info) {\n        for (var i2 in extra_info) {\n          output[i2] = extra_info[i2];\n        }\n      }\n      if (!this.outputs) {\n        this.outputs = [];\n      }\n      this.outputs.push(output);\n      if (this.onOutputAdded) {\n        this.onOutputAdded(output);\n      }\n      if (LiteGraph.auto_load_slot_types) LiteGraph.registerNodeAndSlotType(this, type, true);\n      this.setSize(this.computeSize());\n      this.setDirtyCanvas(true, true);\n      return output;\n    }\n    /**\n         * add a new output slot to use in this node\n         * @method addOutputs\n         * @param {Array} array of triplets like [[name,type,extra_info],[...]]\n         */\n    addOutputs(array) {\n      for (var i2 = 0; i2 < array.length; ++i2) {\n        var info = array[i2];\n        var o = { name: info[0], type: info[1], link: null };\n        if (array[2]) {\n          for (var j in info[2]) {\n            o[j] = info[2][j];\n          }\n        }\n        if (!this.outputs) {\n          this.outputs = [];\n        }\n        this.outputs.push(o);\n        if (this.onOutputAdded) {\n          this.onOutputAdded(o);\n        }\n        if (LiteGraph.auto_load_slot_types) LiteGraph.registerNodeAndSlotType(this, info[1], true);\n      }\n      this.setSize(this.computeSize());\n      this.setDirtyCanvas(true, true);\n    }\n    /**\n         * remove an existing output slot\n         * @method removeOutput\n         * @param {number} slot\n         */\n    removeOutput(slot) {\n      this.disconnectOutput(slot);\n      this.outputs.splice(slot, 1);\n      for (var i2 = slot; i2 < this.outputs.length; ++i2) {\n        if (!this.outputs[i2] || !this.outputs[i2].links) {\n          continue;\n        }\n        var links = this.outputs[i2].links;\n        for (var j = 0; j < links.length; ++j) {\n          var link = this.graph.links[links[j]];\n          if (!link) {\n            continue;\n          }\n          link.origin_slot -= 1;\n        }\n      }\n      this.setSize(this.computeSize());\n      if (this.onOutputRemoved) {\n        this.onOutputRemoved(slot);\n      }\n      this.setDirtyCanvas(true, true);\n    }\n    /**\n         * add a new input slot to use in this node\n         * @method addInput\n         * @param {string} name\n         * @param {string} type string defining the input type (\"vec3\",\"number\",...), it its a generic one use 0\n         * @param {Object} extra_info this can be used to have special properties of an input (label, color, position, etc)\n         */\n    addInput(name, type, extra_info) {\n      type = type || 0;\n      var input = { name, type, link: null };\n      if (extra_info) {\n        for (var i2 in extra_info) {\n          input[i2] = extra_info[i2];\n        }\n      }\n      if (!this.inputs) {\n        this.inputs = [];\n      }\n      this.inputs.push(input);\n      this.setSize(this.computeSize());\n      if (this.onInputAdded) {\n        this.onInputAdded(input);\n      }\n      LiteGraph.registerNodeAndSlotType(this, type);\n      this.setDirtyCanvas(true, true);\n      return input;\n    }\n    /**\n         * add several new input slots in this node\n         * @method addInputs\n         * @param {Array} array of triplets like [[name,type,extra_info],[...]]\n         */\n    addInputs(array) {\n      for (var i2 = 0; i2 < array.length; ++i2) {\n        var info = array[i2];\n        var o = { name: info[0], type: info[1], link: null };\n        if (array[2]) {\n          for (var j in info[2]) {\n            o[j] = info[2][j];\n          }\n        }\n        if (!this.inputs) {\n          this.inputs = [];\n        }\n        this.inputs.push(o);\n        if (this.onInputAdded) {\n          this.onInputAdded(o);\n        }\n        LiteGraph.registerNodeAndSlotType(this, info[1]);\n      }\n      this.setSize(this.computeSize());\n      this.setDirtyCanvas(true, true);\n    }\n    /**\n         * remove an existing input slot\n         * @method removeInput\n         * @param {number} slot\n         */\n    removeInput(slot) {\n      this.disconnectInput(slot);\n      var slot_info = this.inputs.splice(slot, 1);\n      for (var i2 = slot; i2 < this.inputs.length; ++i2) {\n        if (!this.inputs[i2]) {\n          continue;\n        }\n        var link = this.graph.links[this.inputs[i2].link];\n        if (!link) {\n          continue;\n        }\n        link.target_slot -= 1;\n      }\n      this.setSize(this.computeSize());\n      if (this.onInputRemoved) {\n        this.onInputRemoved(slot, slot_info[0]);\n      }\n      this.setDirtyCanvas(true, true);\n    }\n    /**\n         * add an special connection to this node (used for special kinds of graphs)\n         * @method addConnection\n         * @param {string} name\n         * @param {string} type string defining the input type (\"vec3\",\"number\",...)\n         * @param {[x,y]} pos position of the connection inside the node\n         * @param {string} direction if is input or output\n         */\n    addConnection(name, type, pos2, direction) {\n      var o = {\n        name,\n        type,\n        pos: pos2,\n        direction,\n        links: null\n      };\n      this.connections.push(o);\n      return o;\n    }\n    /**\n         * computes the minimum size of a node according to its inputs and output slots\n         * @method computeSize\n         * @param {vec2} minHeight\n         * @return {vec2} the total size\n         */\n    computeSize(out) {\n      if (this.constructor.size) {\n        return this.constructor.size.concat();\n      }\n      var rows = Math.max(\n        this.inputs ? this.inputs.length : 1,\n        this.outputs ? this.outputs.length : 1\n      );\n      var size = out || new Float32Array([0, 0]);\n      rows = Math.max(rows, 1);\n      var font_size = LiteGraph.NODE_TEXT_SIZE;\n      var title_width = compute_text_size(this.title);\n      var input_width = 0;\n      var output_width = 0;\n      if (this.inputs) {\n        for (var i2 = 0, l = this.inputs.length; i2 < l; ++i2) {\n          var input = this.inputs[i2];\n          var text = input.label || input.name || \"\";\n          var text_width = compute_text_size(text);\n          if (input_width < text_width) {\n            input_width = text_width;\n          }\n        }\n      }\n      if (this.outputs) {\n        for (var i2 = 0, l = this.outputs.length; i2 < l; ++i2) {\n          var output = this.outputs[i2];\n          var text = output.label || output.name || \"\";\n          var text_width = compute_text_size(text);\n          if (output_width < text_width) {\n            output_width = text_width;\n          }\n        }\n      }\n      size[0] = Math.max(input_width + output_width + 10, title_width);\n      size[0] = Math.max(size[0], LiteGraph.NODE_WIDTH);\n      if (this.widgets && this.widgets.length) {\n        size[0] = Math.max(size[0], LiteGraph.NODE_WIDTH * 1.5);\n      }\n      size[1] = (this.constructor.slot_start_y || 0) + rows * LiteGraph.NODE_SLOT_HEIGHT;\n      var widgets_height = 0;\n      if (this.widgets && this.widgets.length) {\n        for (var i2 = 0, l = this.widgets.length; i2 < l; ++i2) {\n          if (this.widgets[i2].computeSize)\n            widgets_height += this.widgets[i2].computeSize(size[0])[1] + 4;\n          else\n            widgets_height += LiteGraph.NODE_WIDGET_HEIGHT + 4;\n        }\n        widgets_height += 8;\n      }\n      if (this.widgets_up)\n        size[1] = Math.max(size[1], widgets_height);\n      else if (this.widgets_start_y != null)\n        size[1] = Math.max(size[1], widgets_height + this.widgets_start_y);\n      else\n        size[1] += widgets_height;\n      function compute_text_size(text2) {\n        if (!text2) {\n          return 0;\n        }\n        return font_size * text2.length * 0.6;\n      }\n      if (this.constructor.min_height && size[1] < this.constructor.min_height) {\n        size[1] = this.constructor.min_height;\n      }\n      size[1] += 6;\n      return size;\n    }\n    inResizeCorner(canvasX, canvasY) {\n      var rows = this.outputs ? this.outputs.length : 1;\n      var outputs_offset = (this.constructor.slot_start_y || 0) + rows * LiteGraph.NODE_SLOT_HEIGHT;\n      return isInsideRectangle(\n        canvasX,\n        canvasY,\n        this.pos[0] + this.size[0] - 15,\n        this.pos[1] + Math.max(this.size[1] - 15, outputs_offset),\n        20,\n        20\n      );\n    }\n    /**\n         * returns all the info available about a property of this node.\n         *\n         * @method getPropertyInfo\n         * @param {String} property name of the property\n         * @return {Object} the object with all the available info\n        */\n    getPropertyInfo(property) {\n      var info = null;\n      if (this.properties_info) {\n        for (var i2 = 0; i2 < this.properties_info.length; ++i2) {\n          if (this.properties_info[i2].name == property) {\n            info = this.properties_info[i2];\n            break;\n          }\n        }\n      }\n      if (this.constructor[\"@\" + property])\n        info = this.constructor[\"@\" + property];\n      if (this.constructor.widgets_info && this.constructor.widgets_info[property])\n        info = this.constructor.widgets_info[property];\n      if (!info && this.onGetPropertyInfo) {\n        info = this.onGetPropertyInfo(property);\n      }\n      if (!info)\n        info = {};\n      if (!info.type)\n        info.type = typeof this.properties[property];\n      if (info.widget == \"combo\")\n        info.type = \"enum\";\n      return info;\n    }\n    /**\n         * Defines a widget inside the node, it will be rendered on top of the node, you can control lots of properties\n         *\n         * @method addWidget\n         * @param {String} type the widget type (could be \"number\",\"string\",\"combo\"\n         * @param {String} name the text to show on the widget\n         * @param {String} value the default value\n         * @param {Function|String} callback function to call when it changes (optionally, it can be the name of the property to modify)\n         * @param {Object} options the object that contains special properties of this widget\n         * @return {Object} the created widget object\n         */\n    addWidget(type, name, value, callback, options) {\n      if (!this.widgets) {\n        this.widgets = [];\n      }\n      if (!options && callback && callback.constructor === Object) {\n        options = callback;\n        callback = null;\n      }\n      if (options && options.constructor === String)\n        options = { property: options };\n      if (callback && callback.constructor === String) {\n        if (!options)\n          options = {};\n        options.property = callback;\n        callback = null;\n      }\n      if (callback && callback.constructor !== Function) {\n        console.warn(\"addWidget: callback must be a function\");\n        callback = null;\n      }\n      var w2 = {\n        type: type.toLowerCase(),\n        name,\n        value,\n        callback,\n        options: options || {}\n      };\n      if (w2.options.y !== void 0) {\n        w2.y = w2.options.y;\n      }\n      if (!callback && !w2.options.callback && !w2.options.property) {\n        console.warn(\"LiteGraph addWidget(...) without a callback or property assigned\");\n      }\n      if (type == \"combo\" && !w2.options.values) {\n        throw \"LiteGraph addWidget('combo',...) requires to pass values in options: { values:['red','blue'] }\";\n      }\n      this.widgets.push(w2);\n      this.setSize(this.computeSize());\n      return w2;\n    }\n    addCustomWidget(custom_widget) {\n      if (!this.widgets) {\n        this.widgets = [];\n      }\n      this.widgets.push(custom_widget);\n      return custom_widget;\n    }\n    /**\n         * returns the bounding of the object, used for rendering purposes\n         * @method getBounding\n         * @param out {Float32Array[4]?} [optional] a place to store the output, to free garbage\n         * @param compute_outer {boolean?} [optional] set to true to include the shadow and connection points in the bounding calculation\n         * @return {Float32Array[4]} the bounding box in format of [topleft_cornerx, topleft_cornery, width, height]\n         */\n    getBounding(out, compute_outer) {\n      out = out || new Float32Array(4);\n      const nodePos = this.pos;\n      const isCollapsed = this.flags.collapsed;\n      const nodeSize = this.size;\n      let left_offset = 0;\n      let right_offset = 1;\n      let top_offset = 0;\n      let bottom_offset = 0;\n      if (compute_outer) {\n        left_offset = 4;\n        right_offset = 6 + left_offset;\n        top_offset = 4;\n        bottom_offset = 5 + top_offset;\n      }\n      out[0] = nodePos[0] - left_offset;\n      out[1] = nodePos[1] - LiteGraph.NODE_TITLE_HEIGHT - top_offset;\n      out[2] = isCollapsed ? (this._collapsed_width || LiteGraph.NODE_COLLAPSED_WIDTH) + right_offset : nodeSize[0] + right_offset;\n      out[3] = isCollapsed ? LiteGraph.NODE_TITLE_HEIGHT + bottom_offset : nodeSize[1] + LiteGraph.NODE_TITLE_HEIGHT + bottom_offset;\n      if (this.onBounding) {\n        this.onBounding(out);\n      }\n      return out;\n    }\n    /**\n         * checks if a point is inside the shape of a node\n         * @method isPointInside\n         * @param {number} x\n         * @param {number} y\n         * @return {boolean}\n         */\n    isPointInside(x2, y2, margin, skip_title) {\n      margin = margin || 0;\n      var margin_top = this.graph && this.graph.isLive() ? 0 : LiteGraph.NODE_TITLE_HEIGHT;\n      if (skip_title) {\n        margin_top = 0;\n      }\n      if (this.flags && this.flags.collapsed) {\n        if (isInsideRectangle(\n          x2,\n          y2,\n          this.pos[0] - margin,\n          this.pos[1] - LiteGraph.NODE_TITLE_HEIGHT - margin,\n          (this._collapsed_width || LiteGraph.NODE_COLLAPSED_WIDTH) + 2 * margin,\n          LiteGraph.NODE_TITLE_HEIGHT + 2 * margin\n        )) {\n          return true;\n        }\n      } else if (this.pos[0] - 4 - margin < x2 && this.pos[0] + this.size[0] + 4 + margin > x2 && this.pos[1] - margin_top - margin < y2 && this.pos[1] + this.size[1] + margin > y2) {\n        return true;\n      }\n      return false;\n    }\n    /**\n         * checks if a point is inside a node slot, and returns info about which slot\n         * @method getSlotInPosition\n         * @param {number} x\n         * @param {number} y\n         * @return {Object} if found the object contains { input|output: slot object, slot: number, link_pos: [x,y] }\n         */\n    getSlotInPosition(x2, y2) {\n      var link_pos = new Float32Array(2);\n      if (this.inputs) {\n        for (var i2 = 0, l = this.inputs.length; i2 < l; ++i2) {\n          var input = this.inputs[i2];\n          this.getConnectionPos(true, i2, link_pos);\n          if (isInsideRectangle(\n            x2,\n            y2,\n            link_pos[0] - 10,\n            link_pos[1] - 5,\n            20,\n            10\n          )) {\n            return { input, slot: i2, link_pos };\n          }\n        }\n      }\n      if (this.outputs) {\n        for (var i2 = 0, l = this.outputs.length; i2 < l; ++i2) {\n          var output = this.outputs[i2];\n          this.getConnectionPos(false, i2, link_pos);\n          if (isInsideRectangle(\n            x2,\n            y2,\n            link_pos[0] - 10,\n            link_pos[1] - 5,\n            20,\n            10\n          )) {\n            return { output, slot: i2, link_pos };\n          }\n        }\n      }\n      return null;\n    }\n    /**\n         * returns the input slot with a given name (used for dynamic slots), -1 if not found\n         * @method findInputSlot\n         * @param {string} name the name of the slot\n         * @param {boolean} returnObj if the obj itself wanted\n         * @return {number_or_object} the slot (-1 if not found)\n         */\n    findInputSlot(name, returnObj) {\n      if (!this.inputs) {\n        return -1;\n      }\n      for (var i2 = 0, l = this.inputs.length; i2 < l; ++i2) {\n        if (name == this.inputs[i2].name) {\n          return !returnObj ? i2 : this.inputs[i2];\n        }\n      }\n      return -1;\n    }\n    /**\n         * returns the output slot with a given name (used for dynamic slots), -1 if not found\n         * @method findOutputSlot\n         * @param {string} name the name of the slot\n         * @param {boolean} returnObj if the obj itself wanted\n         * @return {number_or_object} the slot (-1 if not found)\n         */\n    findOutputSlot(name, returnObj) {\n      returnObj = returnObj || false;\n      if (!this.outputs) {\n        return -1;\n      }\n      for (var i2 = 0, l = this.outputs.length; i2 < l; ++i2) {\n        if (name == this.outputs[i2].name) {\n          return !returnObj ? i2 : this.outputs[i2];\n        }\n      }\n      return -1;\n    }\n    // TODO refactor: USE SINGLE findInput/findOutput functions! :: merge options\n    /**\n         * returns the first free input slot\n         * @method findInputSlotFree\n         * @param {object} options\n         * @return {number_or_object} the slot (-1 if not found)\n         */\n    findInputSlotFree(optsIn) {\n      var optsIn = optsIn || {};\n      var optsDef = {\n        returnObj: false,\n        typesNotAccepted: []\n      };\n      var opts = Object.assign(optsDef, optsIn);\n      if (!this.inputs) {\n        return -1;\n      }\n      for (var i2 = 0, l = this.inputs.length; i2 < l; ++i2) {\n        if (this.inputs[i2].link && this.inputs[i2].link != null) {\n          continue;\n        }\n        if (opts.typesNotAccepted && opts.typesNotAccepted.includes && opts.typesNotAccepted.includes(this.inputs[i2].type)) {\n          continue;\n        }\n        return !opts.returnObj ? i2 : this.inputs[i2];\n      }\n      return -1;\n    }\n    /**\n         * returns the first output slot free\n         * @method findOutputSlotFree\n         * @param {object} options\n         * @return {number_or_object} the slot (-1 if not found)\n         */\n    findOutputSlotFree(optsIn) {\n      var optsIn = optsIn || {};\n      var optsDef = {\n        returnObj: false,\n        typesNotAccepted: []\n      };\n      var opts = Object.assign(optsDef, optsIn);\n      if (!this.outputs) {\n        return -1;\n      }\n      for (var i2 = 0, l = this.outputs.length; i2 < l; ++i2) {\n        if (this.outputs[i2].links && this.outputs[i2].links != null) {\n          continue;\n        }\n        if (opts.typesNotAccepted && opts.typesNotAccepted.includes && opts.typesNotAccepted.includes(this.outputs[i2].type)) {\n          continue;\n        }\n        return !opts.returnObj ? i2 : this.outputs[i2];\n      }\n      return -1;\n    }\n    /**\n         * findSlotByType for INPUTS\n         */\n    findInputSlotByType(type, returnObj, preferFreeSlot, doNotUseOccupied) {\n      return this.findSlotByType(true, type, returnObj, preferFreeSlot, doNotUseOccupied);\n    }\n    /**\n         * findSlotByType for OUTPUTS\n         */\n    findOutputSlotByType(type, returnObj, preferFreeSlot, doNotUseOccupied) {\n      return this.findSlotByType(false, type, returnObj, preferFreeSlot, doNotUseOccupied);\n    }\n    /**\n         * returns the output (or input) slot with a given type, -1 if not found\n         * @method findSlotByType\n         * @param {boolean} input uise inputs instead of outputs\n         * @param {string} type the type of the slot\n         * @param {boolean} returnObj if the obj itself wanted\n         * @param {boolean} preferFreeSlot if we want a free slot (if not found, will return the first of the type anyway)\n         * @return {number_or_object} the slot (-1 if not found)\n         */\n    findSlotByType(input, type, returnObj, preferFreeSlot, doNotUseOccupied) {\n      input = input || false;\n      returnObj = returnObj || false;\n      preferFreeSlot = preferFreeSlot || false;\n      doNotUseOccupied = doNotUseOccupied || false;\n      var aSlots = input ? this.inputs : this.outputs;\n      if (!aSlots) {\n        return -1;\n      }\n      if (type == \"\" || type == \"*\") type = 0;\n      for (var i2 = 0, l = aSlots.length; i2 < l; ++i2) {\n        var aSource = (type + \"\").toLowerCase().split(\",\");\n        var aDest = aSlots[i2].type == \"0\" || aSlots[i2].type == \"*\" ? \"0\" : aSlots[i2].type;\n        aDest = (aDest + \"\").toLowerCase().split(\",\");\n        for (var sI = 0; sI < aSource.length; sI++) {\n          for (var dI = 0; dI < aDest.length; dI++) {\n            if (aSource[sI] == \"_event_\") aSource[sI] = LiteGraph.EVENT;\n            if (aDest[sI] == \"_event_\") aDest[sI] = LiteGraph.EVENT;\n            if (aSource[sI] == \"*\") aSource[sI] = 0;\n            if (aDest[sI] == \"*\") aDest[sI] = 0;\n            if (aSource[sI] == aDest[dI]) {\n              if (preferFreeSlot && (aSlots[i2].links && aSlots[i2].links !== null) || aSlots[i2].link && aSlots[i2].link !== null) continue;\n              return !returnObj ? i2 : aSlots[i2];\n            }\n          }\n        }\n      }\n      if (preferFreeSlot && !doNotUseOccupied) {\n        for (var i2 = 0, l = aSlots.length; i2 < l; ++i2) {\n          var aSource = (type + \"\").toLowerCase().split(\",\");\n          var aDest = aSlots[i2].type == \"0\" || aSlots[i2].type == \"*\" ? \"0\" : aSlots[i2].type;\n          aDest = (aDest + \"\").toLowerCase().split(\",\");\n          for (var sI = 0; sI < aSource.length; sI++) {\n            for (var dI = 0; dI < aDest.length; dI++) {\n              if (aSource[sI] == \"*\") aSource[sI] = 0;\n              if (aDest[sI] == \"*\") aDest[sI] = 0;\n              if (aSource[sI] == aDest[dI]) {\n                return !returnObj ? i2 : aSlots[i2];\n              }\n            }\n          }\n        }\n      }\n      return -1;\n    }\n    /**\n         * connect this node output to the input of another node BY TYPE\n         * @method connectByType\n         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)\n         * @param {LGraphNode} node the target node\n         * @param {string} target_type the input slot type of the target node\n         * @return {Object} the link_info is created, otherwise null\n         */\n    connectByType(slot, target_node, target_slotType, optsIn) {\n      var optsIn = optsIn || {};\n      var optsDef = {\n        createEventInCase: true,\n        firstFreeIfOutputGeneralInCase: true,\n        generalTypeInCase: true\n      };\n      var opts = Object.assign(optsDef, optsIn);\n      if (target_node && target_node.constructor === Number) {\n        target_node = this.graph.getNodeById(target_node);\n      }\n      var target_slot = target_node.findInputSlotByType(target_slotType, false, true);\n      if (target_slot >= 0 && target_slot !== null) {\n        return this.connect(slot, target_node, target_slot);\n      } else {\n        if (opts.createEventInCase && target_slotType == LiteGraph.EVENT) {\n          return this.connect(slot, target_node, -1);\n        }\n        if (opts.generalTypeInCase) {\n          var target_slot = target_node.findInputSlotByType(0, false, true, true);\n          if (target_slot >= 0) {\n            return this.connect(slot, target_node, target_slot);\n          }\n        }\n        if (opts.firstFreeIfOutputGeneralInCase && (target_slotType == 0 || target_slotType == \"*\" || target_slotType == \"\")) {\n          var target_slot = target_node.findInputSlotFree({ typesNotAccepted: [LiteGraph.EVENT] });\n          if (target_slot >= 0) {\n            return this.connect(slot, target_node, target_slot);\n          }\n        }\n        console.debug(\"no way to connect type: \", target_slotType, \" to targetNODE \", target_node);\n        return null;\n      }\n    }\n    /**\n         * connect this node input to the output of another node BY TYPE\n         * @method connectByType\n         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)\n         * @param {LGraphNode} node the target node\n         * @param {string} target_type the output slot type of the target node\n         * @return {Object} the link_info is created, otherwise null\n         */\n    connectByTypeOutput(slot, source_node, source_slotType, optsIn) {\n      var optsIn = optsIn || {};\n      var optsDef = {\n        createEventInCase: true,\n        firstFreeIfInputGeneralInCase: true,\n        generalTypeInCase: true\n      };\n      var opts = Object.assign(optsDef, optsIn);\n      if (source_node && source_node.constructor === Number) {\n        source_node = this.graph.getNodeById(source_node);\n      }\n      var source_slot = source_node.findOutputSlotByType(source_slotType, false, true);\n      if (source_slot >= 0 && source_slot !== null) {\n        return source_node.connect(source_slot, this, slot);\n      } else {\n        if (opts.generalTypeInCase) {\n          var source_slot = source_node.findOutputSlotByType(0, false, true, true);\n          if (source_slot >= 0) {\n            return source_node.connect(source_slot, this, slot);\n          }\n        }\n        if (opts.createEventInCase && source_slotType == LiteGraph.EVENT) {\n          if (LiteGraph.do_add_triggers_slots) {\n            var source_slot = source_node.addOnExecutedOutput();\n            return source_node.connect(source_slot, this, slot);\n          }\n        }\n        if (opts.firstFreeIfInputGeneralInCase && (source_slotType == 0 || source_slotType == \"*\" || source_slotType == \"\")) {\n          var source_slot = source_node.findOutputSlotFree({ typesNotAccepted: [LiteGraph.EVENT] });\n          if (source_slot >= 0) {\n            return source_node.connect(source_slot, this, slot);\n          }\n        }\n        console.debug(\"no way to connect byOUT type: \", source_slotType, \" to sourceNODE \", source_node);\n        return null;\n      }\n    }\n    /**\n         * connect this node output to the input of another node\n         * @method connect\n         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)\n         * @param {LGraphNode} node the target node\n         * @param {number_or_string} target_slot the input slot of the target node (could be the number of the slot or the string with the name of the slot, or -1 to connect a trigger)\n         * @return {Object} the link_info is created, otherwise null\n         */\n    connect(slot, target_node, target_slot) {\n      target_slot = target_slot || 0;\n      if (!this.graph) {\n        console.log(\n          \"Connect: Error, node doesn't belong to any graph. Nodes must be added first to a graph before connecting them.\"\n        );\n        return null;\n      }\n      if (slot.constructor === String) {\n        slot = this.findOutputSlot(slot);\n        if (slot == -1) {\n          if (LiteGraph.debug) {\n            console.log(\"Connect: Error, no slot of name \" + slot);\n          }\n          return null;\n        }\n      } else if (!this.outputs || slot >= this.outputs.length) {\n        if (LiteGraph.debug) {\n          console.log(\"Connect: Error, slot number not found\");\n        }\n        return null;\n      }\n      if (target_node && target_node.constructor === Number) {\n        target_node = this.graph.getNodeById(target_node);\n      }\n      if (!target_node) {\n        throw \"target node is null\";\n      }\n      if (target_node == this) {\n        return null;\n      }\n      if (target_slot.constructor === String) {\n        target_slot = target_node.findInputSlot(target_slot);\n        if (target_slot == -1) {\n          if (LiteGraph.debug) {\n            console.log(\n              \"Connect: Error, no slot of name \" + target_slot\n            );\n          }\n          return null;\n        }\n      } else if (target_slot === LiteGraph.EVENT) {\n        if (LiteGraph.do_add_triggers_slots) {\n          target_node.changeMode(LiteGraph.ON_TRIGGER);\n          target_slot = target_node.findInputSlot(\"onTrigger\");\n        } else {\n          return null;\n        }\n      } else if (!target_node.inputs || target_slot >= target_node.inputs.length) {\n        if (LiteGraph.debug) {\n          console.log(\"Connect: Error, slot number not found\");\n        }\n        return null;\n      }\n      var changed = false;\n      var input = target_node.inputs[target_slot];\n      var link_info = null;\n      var output = this.outputs[slot];\n      if (!this.outputs[slot]) {\n        return null;\n      }\n      if (target_node.onBeforeConnectInput) {\n        target_slot = target_node.onBeforeConnectInput(target_slot);\n      }\n      if (target_slot === false || target_slot === null || !LiteGraph.isValidConnection(output.type, input.type)) {\n        this.setDirtyCanvas(false, true);\n        if (changed)\n          this.graph.connectionChange(this, link_info);\n        return null;\n      }\n      if (target_node.onConnectInput) {\n        if (target_node.onConnectInput(target_slot, output.type, output, this, slot) === false) {\n          return null;\n        }\n      }\n      if (this.onConnectOutput) {\n        if (this.onConnectOutput(slot, input.type, input, target_node, target_slot) === false) {\n          return null;\n        }\n      }\n      if (target_node.inputs[target_slot] && target_node.inputs[target_slot].link != null) {\n        this.graph.beforeChange();\n        target_node.disconnectInput(target_slot, { doProcessChange: false });\n        changed = true;\n      }\n      if (output.links !== null && output.links.length) {\n        switch (output.type) {\n          case LiteGraph.EVENT:\n            if (!LiteGraph.allow_multi_output_for_events) {\n              this.graph.beforeChange();\n              this.disconnectOutput(slot, false, { doProcessChange: false });\n              changed = true;\n            }\n            break;\n        }\n      }\n      var nextId;\n      if (LiteGraph.use_uuids)\n        nextId = LiteGraph.uuidv4();\n      else\n        nextId = ++this.graph.last_link_id;\n      link_info = new LLink(\n        nextId,\n        input.type || output.type,\n        this.id,\n        slot,\n        target_node.id,\n        target_slot\n      );\n      this.graph.links[link_info.id] = link_info;\n      if (output.links == null) {\n        output.links = [];\n      }\n      output.links.push(link_info.id);\n      target_node.inputs[target_slot].link = link_info.id;\n      if (this.graph) {\n        this.graph._version++;\n      }\n      if (this.onConnectionsChange) {\n        this.onConnectionsChange(\n          LiteGraph.OUTPUT,\n          slot,\n          true,\n          link_info,\n          output\n        );\n      }\n      if (target_node.onConnectionsChange) {\n        target_node.onConnectionsChange(\n          LiteGraph.INPUT,\n          target_slot,\n          true,\n          link_info,\n          input\n        );\n      }\n      if (this.graph && this.graph.onNodeConnectionChange) {\n        this.graph.onNodeConnectionChange(\n          LiteGraph.INPUT,\n          target_node,\n          target_slot,\n          this,\n          slot\n        );\n        this.graph.onNodeConnectionChange(\n          LiteGraph.OUTPUT,\n          this,\n          slot,\n          target_node,\n          target_slot\n        );\n      }\n      this.setDirtyCanvas(false, true);\n      this.graph.afterChange();\n      this.graph.connectionChange(this, link_info);\n      return link_info;\n    }\n    /**\n         * disconnect one output to an specific node\n         * @method disconnectOutput\n         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)\n         * @param {LGraphNode} target_node the target node to which this slot is connected [Optional, if not target_node is specified all nodes will be disconnected]\n         * @return {boolean} if it was disconnected successfully\n         */\n    disconnectOutput(slot, target_node) {\n      if (slot.constructor === String) {\n        slot = this.findOutputSlot(slot);\n        if (slot == -1) {\n          if (LiteGraph.debug) {\n            console.log(\"Connect: Error, no slot of name \" + slot);\n          }\n          return false;\n        }\n      } else if (!this.outputs || slot >= this.outputs.length) {\n        if (LiteGraph.debug) {\n          console.log(\"Connect: Error, slot number not found\");\n        }\n        return false;\n      }\n      var output = this.outputs[slot];\n      if (!output || !output.links || output.links.length == 0) {\n        return false;\n      }\n      if (target_node) {\n        if (target_node.constructor === Number) {\n          target_node = this.graph.getNodeById(target_node);\n        }\n        if (!target_node) {\n          throw \"Target Node not found\";\n        }\n        for (var i2 = 0, l = output.links.length; i2 < l; i2++) {\n          var link_id = output.links[i2];\n          var link_info = this.graph.links[link_id];\n          if (link_info.target_id == target_node.id) {\n            output.links.splice(i2, 1);\n            var input = target_node.inputs[link_info.target_slot];\n            input.link = null;\n            delete this.graph.links[link_id];\n            if (this.graph) {\n              this.graph._version++;\n            }\n            if (target_node.onConnectionsChange) {\n              target_node.onConnectionsChange(\n                LiteGraph.INPUT,\n                link_info.target_slot,\n                false,\n                link_info,\n                input\n              );\n            }\n            if (this.onConnectionsChange) {\n              this.onConnectionsChange(\n                LiteGraph.OUTPUT,\n                slot,\n                false,\n                link_info,\n                output\n              );\n            }\n            if (this.graph && this.graph.onNodeConnectionChange) {\n              this.graph.onNodeConnectionChange(\n                LiteGraph.OUTPUT,\n                this,\n                slot\n              );\n            }\n            if (this.graph && this.graph.onNodeConnectionChange) {\n              this.graph.onNodeConnectionChange(\n                LiteGraph.OUTPUT,\n                this,\n                slot\n              );\n              this.graph.onNodeConnectionChange(\n                LiteGraph.INPUT,\n                target_node,\n                link_info.target_slot\n              );\n            }\n            break;\n          }\n        }\n      } else {\n        for (var i2 = 0, l = output.links.length; i2 < l; i2++) {\n          var link_id = output.links[i2];\n          var link_info = this.graph.links[link_id];\n          if (!link_info) {\n            continue;\n          }\n          var target_node = this.graph.getNodeById(link_info.target_id);\n          var input = null;\n          if (this.graph) {\n            this.graph._version++;\n          }\n          if (target_node) {\n            input = target_node.inputs[link_info.target_slot];\n            input.link = null;\n            if (target_node.onConnectionsChange) {\n              target_node.onConnectionsChange(\n                LiteGraph.INPUT,\n                link_info.target_slot,\n                false,\n                link_info,\n                input\n              );\n            }\n            if (this.graph && this.graph.onNodeConnectionChange) {\n              this.graph.onNodeConnectionChange(\n                LiteGraph.INPUT,\n                target_node,\n                link_info.target_slot\n              );\n            }\n          }\n          delete this.graph.links[link_id];\n          if (this.onConnectionsChange) {\n            this.onConnectionsChange(\n              LiteGraph.OUTPUT,\n              slot,\n              false,\n              link_info,\n              output\n            );\n          }\n          if (this.graph && this.graph.onNodeConnectionChange) {\n            this.graph.onNodeConnectionChange(\n              LiteGraph.OUTPUT,\n              this,\n              slot\n            );\n            this.graph.onNodeConnectionChange(\n              LiteGraph.INPUT,\n              target_node,\n              link_info.target_slot\n            );\n          }\n        }\n        output.links = null;\n      }\n      this.setDirtyCanvas(false, true);\n      this.graph.connectionChange(this);\n      return true;\n    }\n    /**\n         * disconnect one input\n         * @method disconnectInput\n         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)\n         * @return {boolean} if it was disconnected successfully\n         */\n    disconnectInput(slot) {\n      if (slot.constructor === String) {\n        slot = this.findInputSlot(slot);\n        if (slot == -1) {\n          if (LiteGraph.debug) {\n            console.log(\"Connect: Error, no slot of name \" + slot);\n          }\n          return false;\n        }\n      } else if (!this.inputs || slot >= this.inputs.length) {\n        if (LiteGraph.debug) {\n          console.log(\"Connect: Error, slot number not found\");\n        }\n        return false;\n      }\n      var input = this.inputs[slot];\n      if (!input) {\n        return false;\n      }\n      var link_id = this.inputs[slot].link;\n      if (link_id != null) {\n        this.inputs[slot].link = null;\n        var link_info = this.graph.links[link_id];\n        if (link_info) {\n          var target_node = this.graph.getNodeById(link_info.origin_id);\n          if (!target_node) {\n            return false;\n          }\n          var output = target_node.outputs[link_info.origin_slot];\n          if (!output || !output.links || output.links.length == 0) {\n            return false;\n          }\n          for (var i2 = 0, l = output.links.length; i2 < l; i2++) {\n            if (output.links[i2] == link_id) {\n              output.links.splice(i2, 1);\n              break;\n            }\n          }\n          delete this.graph.links[link_id];\n          if (this.graph) {\n            this.graph._version++;\n          }\n          if (this.onConnectionsChange) {\n            this.onConnectionsChange(\n              LiteGraph.INPUT,\n              slot,\n              false,\n              link_info,\n              input\n            );\n          }\n          if (target_node.onConnectionsChange) {\n            target_node.onConnectionsChange(\n              LiteGraph.OUTPUT,\n              i2,\n              false,\n              link_info,\n              output\n            );\n          }\n          if (this.graph && this.graph.onNodeConnectionChange) {\n            this.graph.onNodeConnectionChange(\n              LiteGraph.OUTPUT,\n              target_node,\n              i2\n            );\n            this.graph.onNodeConnectionChange(LiteGraph.INPUT, this, slot);\n          }\n        }\n      }\n      this.setDirtyCanvas(false, true);\n      if (this.graph)\n        this.graph.connectionChange(this);\n      return true;\n    }\n    /**\n         * returns the center of a connection point in canvas coords\n         * @method getConnectionPos\n         * @param {boolean} is_input true if if a input slot, false if it is an output\n         * @param {number_or_string} slot (could be the number of the slot or the string with the name of the slot)\n         * @param {vec2} out [optional] a place to store the output, to free garbage\n         * @return {[x,y]} the position\n         **/\n    getConnectionPos(is_input, slot_number, out) {\n      out = out || new Float32Array(2);\n      var num_slots = 0;\n      if (is_input && this.inputs) {\n        num_slots = this.inputs.length;\n      }\n      if (!is_input && this.outputs) {\n        num_slots = this.outputs.length;\n      }\n      var offset = LiteGraph.NODE_SLOT_HEIGHT * 0.5;\n      if (this.flags.collapsed) {\n        var w2 = this._collapsed_width || LiteGraph.NODE_COLLAPSED_WIDTH;\n        if (this.horizontal) {\n          out[0] = this.pos[0] + w2 * 0.5;\n          if (is_input) {\n            out[1] = this.pos[1] - LiteGraph.NODE_TITLE_HEIGHT;\n          } else {\n            out[1] = this.pos[1];\n          }\n        } else {\n          if (is_input) {\n            out[0] = this.pos[0];\n          } else {\n            out[0] = this.pos[0] + w2;\n          }\n          out[1] = this.pos[1] - LiteGraph.NODE_TITLE_HEIGHT * 0.5;\n        }\n        return out;\n      }\n      if (is_input && slot_number == -1) {\n        out[0] = this.pos[0] + LiteGraph.NODE_TITLE_HEIGHT * 0.5;\n        out[1] = this.pos[1] + LiteGraph.NODE_TITLE_HEIGHT * 0.5;\n        return out;\n      }\n      if (is_input && num_slots > slot_number && this.inputs[slot_number].pos) {\n        out[0] = this.pos[0] + this.inputs[slot_number].pos[0];\n        out[1] = this.pos[1] + this.inputs[slot_number].pos[1];\n        return out;\n      } else if (!is_input && num_slots > slot_number && this.outputs[slot_number].pos) {\n        out[0] = this.pos[0] + this.outputs[slot_number].pos[0];\n        out[1] = this.pos[1] + this.outputs[slot_number].pos[1];\n        return out;\n      }\n      if (this.horizontal) {\n        out[0] = this.pos[0] + (slot_number + 0.5) * (this.size[0] / num_slots);\n        if (is_input) {\n          out[1] = this.pos[1] - LiteGraph.NODE_TITLE_HEIGHT;\n        } else {\n          out[1] = this.pos[1] + this.size[1];\n        }\n        return out;\n      }\n      if (is_input) {\n        out[0] = this.pos[0] + offset;\n      } else {\n        out[0] = this.pos[0] + this.size[0] + 1 - offset;\n      }\n      out[1] = this.pos[1] + (slot_number + 0.7) * LiteGraph.NODE_SLOT_HEIGHT + (this.constructor.slot_start_y || 0);\n      return out;\n    }\n    /* Force align to grid */\n    alignToGrid() {\n      this.pos[0] = LiteGraph.CANVAS_GRID_SIZE * Math.round(this.pos[0] / LiteGraph.CANVAS_GRID_SIZE);\n      this.pos[1] = LiteGraph.CANVAS_GRID_SIZE * Math.round(this.pos[1] / LiteGraph.CANVAS_GRID_SIZE);\n    }\n    /* Console output */\n    trace(msg) {\n      if (!this.console) {\n        this.console = [];\n      }\n      this.console.push(msg);\n      if (this.console.length > LGraphNode.MAX_CONSOLE) {\n        this.console.shift();\n      }\n      if (this.graph.onNodeTrace)\n        this.graph.onNodeTrace(this, msg);\n    }\n    /* Forces to redraw or the main canvas (LGraphNode) or the bg canvas (links) */\n    setDirtyCanvas(dirty_foreground, dirty_background) {\n      if (!this.graph) {\n        return;\n      }\n      this.graph.sendActionToCanvas(\"setDirty\", [\n        dirty_foreground,\n        dirty_background\n      ]);\n    }\n    loadImage(url) {\n      var img = new Image();\n      img.src = LiteGraph.node_images_path + url;\n      img.ready = false;\n      var that2 = this;\n      img.onload = function() {\n        this.ready = true;\n        that2.setDirtyCanvas(true);\n      };\n      return img;\n    }\n    //safe LGraphNode action execution (not sure if safe)\n    /*\n    LGraphNode.prototype.executeAction = function(action)\n    {\n        if(action == \"\") return false;\n    \n        if( action.indexOf(\";\") != -1 || action.indexOf(\"}\") != -1)\n        {\n            this.trace(\"Error: Action contains unsafe characters\");\n            return false;\n        }\n    \n        var tokens = action.split(\"(\");\n        var func_name = tokens[0];\n        if( typeof(this[func_name]) != \"function\")\n        {\n            this.trace(\"Error: Action not found on node: \" + func_name);\n            return false;\n        }\n    \n        var code = action;\n    \n        try\n        {\n            var _foo = eval;\n            eval = null;\n            (new Function(\"with(this) { \" + code + \"}\")).call(this);\n            eval = _foo;\n        }\n        catch (err)\n        {\n            this.trace(\"Error executing action {\" + action + \"} :\" + err);\n            return false;\n        }\n    \n        return true;\n    }\n    */\n    /* Allows to get onMouseMove and onMouseUp events even if the mouse is out of focus */\n    captureInput(v2) {\n      if (!this.graph || !this.graph.list_of_graphcanvas) {\n        return;\n      }\n      var list = this.graph.list_of_graphcanvas;\n      for (var i2 = 0; i2 < list.length; ++i2) {\n        var c = list[i2];\n        if (!v2 && c.node_capturing_input != this) {\n          continue;\n        }\n        c.node_capturing_input = v2 ? this : null;\n      }\n    }\n    /**\n         * Collapse the node to make it smaller on the canvas\n         * @method collapse\n         **/\n    collapse(force) {\n      this.graph._version++;\n      if (this.constructor.collapsable === false && !force) {\n        return;\n      }\n      if (!this.flags.collapsed) {\n        this.flags.collapsed = true;\n      } else {\n        this.flags.collapsed = false;\n      }\n      this.setDirtyCanvas(true, true);\n    }\n    /**\n         * Forces the node to do not move or realign on Z\n         * @method pin\n         **/\n    pin(v2) {\n      this.graph._version++;\n      if (v2 === void 0) {\n        this.flags.pinned = !this.flags.pinned;\n      } else {\n        this.flags.pinned = v2;\n      }\n    }\n    localToScreen(x2, y2, graphcanvas) {\n      return [\n        (x2 + this.pos[0]) * graphcanvas.scale + graphcanvas.offset[0],\n        (y2 + this.pos[1]) * graphcanvas.scale + graphcanvas.offset[1]\n      ];\n    }\n  }\n  globalThis.LGraphNode = LiteGraph.LGraphNode = LGraphNode;\n  class LGraphGroup {\n    constructor(title) {\n      this._ctor(title);\n    }\n    _ctor(title) {\n      this.title = title || \"Group\";\n      this.font_size = LiteGraph.DEFAULT_GROUP_FONT || 24;\n      this.color = LGraphCanvas.node_colors.pale_blue ? LGraphCanvas.node_colors.pale_blue.groupcolor : \"#AAA\";\n      this._bounding = new Float32Array([10, 10, 140, 80]);\n      this._pos = this._bounding.subarray(0, 2);\n      this._size = this._bounding.subarray(2, 4);\n      this._nodes = [];\n      this.graph = null;\n      Object.defineProperty(this, \"pos\", {\n        set: function(v2) {\n          if (!v2 || v2.length < 2) {\n            return;\n          }\n          this._pos[0] = v2[0];\n          this._pos[1] = v2[1];\n        },\n        get: function() {\n          return this._pos;\n        },\n        enumerable: true\n      });\n      Object.defineProperty(this, \"size\", {\n        set: function(v2) {\n          if (!v2 || v2.length < 2) {\n            return;\n          }\n          this._size[0] = Math.max(140, v2[0]);\n          this._size[1] = Math.max(80, v2[1]);\n        },\n        get: function() {\n          return this._size;\n        },\n        enumerable: true\n      });\n    }\n    configure(o) {\n      this.title = o.title;\n      this._bounding.set(o.bounding);\n      this.color = o.color;\n      if (o.font_size) {\n        this.font_size = o.font_size;\n      }\n    }\n    serialize() {\n      var b = this._bounding;\n      return {\n        title: this.title,\n        bounding: [\n          Math.round(b[0]),\n          Math.round(b[1]),\n          Math.round(b[2]),\n          Math.round(b[3])\n        ],\n        color: this.color,\n        font_size: this.font_size\n      };\n    }\n    move(deltax, deltay, ignore_nodes) {\n      this._pos[0] += deltax;\n      this._pos[1] += deltay;\n      if (ignore_nodes) {\n        return;\n      }\n      for (var i2 = 0; i2 < this._nodes.length; ++i2) {\n        var node2 = this._nodes[i2];\n        node2.pos[0] += deltax;\n        node2.pos[1] += deltay;\n      }\n    }\n    recomputeInsideNodes() {\n      this._nodes.length = 0;\n      var nodes = this.graph._nodes;\n      var node_bounding = new Float32Array(4);\n      for (var i2 = 0; i2 < nodes.length; ++i2) {\n        var node2 = nodes[i2];\n        node2.getBounding(node_bounding);\n        if (!overlapBounding(this._bounding, node_bounding)) {\n          continue;\n        }\n        this._nodes.push(node2);\n      }\n    }\n    /**\n     * Add nodes to the group and adjust the group's position and size accordingly\n     * @param {LGraphNode[]} nodes - The nodes to add to the group\n     * @param {number} [padding=10] - The padding around the group\n     * @returns {void}\n     */\n    addNodes(nodes, padding = 10) {\n      if (!this._nodes && nodes.length === 0) return;\n      const allNodes = [...this._nodes || [], ...nodes];\n      const bounds = allNodes.reduce((acc, node2) => {\n        var _a;\n        const [x2, y2] = node2.pos;\n        const [width2, height] = node2.size;\n        const isReroute = node2.type === \"Reroute\";\n        const isCollapsed = (_a = node2.flags) == null ? void 0 : _a.collapsed;\n        const top = y2 - (isReroute ? 0 : LiteGraph.NODE_TITLE_HEIGHT);\n        const bottom = isCollapsed ? top + LiteGraph.NODE_TITLE_HEIGHT : y2 + height;\n        const right = isCollapsed && node2._collapsed_width ? x2 + Math.round(node2._collapsed_width) : x2 + width2;\n        return {\n          left: Math.min(acc.left, x2),\n          top: Math.min(acc.top, top),\n          right: Math.max(acc.right, right),\n          bottom: Math.max(acc.bottom, bottom)\n        };\n      }, { left: Infinity, top: Infinity, right: -Infinity, bottom: -Infinity });\n      const groupTitleHeight = Math.round(this.font_size * 1.4);\n      this.pos = [\n        bounds.left - padding,\n        bounds.top - padding - groupTitleHeight\n      ];\n      this.size = [\n        bounds.right - bounds.left + padding * 2,\n        bounds.bottom - bounds.top + padding * 2 + groupTitleHeight\n      ];\n    }\n  }\n  LGraphGroup.prototype.isPointInside = LGraphNode.prototype.isPointInside;\n  LGraphGroup.prototype.setDirtyCanvas = LGraphNode.prototype.setDirtyCanvas;\n  globalThis.LGraphGroup = LiteGraph.LGraphGroup = LGraphGroup;\n  class DragAndScale {\n    constructor(element, skip_events) {\n      this.offset = new Float32Array([0, 0]);\n      this.scale = 1;\n      this.max_scale = 10;\n      this.min_scale = 0.1;\n      this.onredraw = null;\n      this.enabled = true;\n      this.last_mouse = [0, 0];\n      this.element = null;\n      this.visible_area = new Float32Array(4);\n      if (element) {\n        this.element = element;\n        if (!skip_events) {\n          this.bindEvents(element);\n        }\n      }\n    }\n    bindEvents(element) {\n      this.last_mouse = new Float32Array(2);\n      this._binded_mouse_callback = this.onMouse.bind(this);\n      LiteGraph.pointerListenerAdd(element, \"down\", this._binded_mouse_callback);\n      LiteGraph.pointerListenerAdd(element, \"move\", this._binded_mouse_callback);\n      LiteGraph.pointerListenerAdd(element, \"up\", this._binded_mouse_callback);\n      element.addEventListener(\n        \"mousewheel\",\n        this._binded_mouse_callback,\n        false\n      );\n      element.addEventListener(\"wheel\", this._binded_mouse_callback, false);\n    }\n    computeVisibleArea(viewport) {\n      if (!this.element) {\n        this.visible_area[0] = this.visible_area[1] = this.visible_area[2] = this.visible_area[3] = 0;\n        return;\n      }\n      var width2 = this.element.width;\n      var height = this.element.height;\n      var startx = -this.offset[0];\n      var starty = -this.offset[1];\n      if (viewport) {\n        startx += viewport[0] / this.scale;\n        starty += viewport[1] / this.scale;\n        width2 = viewport[2];\n        height = viewport[3];\n      }\n      var endx = startx + width2 / this.scale;\n      var endy = starty + height / this.scale;\n      this.visible_area[0] = startx;\n      this.visible_area[1] = starty;\n      this.visible_area[2] = endx - startx;\n      this.visible_area[3] = endy - starty;\n    }\n    onMouse(e) {\n      if (!this.enabled) {\n        return;\n      }\n      var canvas = this.element;\n      var rect = canvas.getBoundingClientRect();\n      var x2 = e.clientX - rect.left;\n      var y2 = e.clientY - rect.top;\n      e.canvasx = x2;\n      e.canvasy = y2;\n      e.dragging = this.dragging;\n      var is_inside = !this.viewport || this.viewport && x2 >= this.viewport[0] && x2 < this.viewport[0] + this.viewport[2] && y2 >= this.viewport[1] && y2 < this.viewport[1] + this.viewport[3];\n      var ignore = false;\n      if (this.onmouse) {\n        ignore = this.onmouse(e);\n      }\n      if (e.type == LiteGraph.pointerevents_method + \"down\" && is_inside) {\n        this.dragging = true;\n        LiteGraph.pointerListenerRemove(canvas, \"move\", this._binded_mouse_callback);\n        LiteGraph.pointerListenerAdd(document, \"move\", this._binded_mouse_callback);\n        LiteGraph.pointerListenerAdd(document, \"up\", this._binded_mouse_callback);\n      } else if (e.type == LiteGraph.pointerevents_method + \"move\") {\n        if (!ignore) {\n          var deltax = x2 - this.last_mouse[0];\n          var deltay = y2 - this.last_mouse[1];\n          if (this.dragging) {\n            this.mouseDrag(deltax, deltay);\n          }\n        }\n      } else if (e.type == LiteGraph.pointerevents_method + \"up\") {\n        this.dragging = false;\n        LiteGraph.pointerListenerRemove(document, \"move\", this._binded_mouse_callback);\n        LiteGraph.pointerListenerRemove(document, \"up\", this._binded_mouse_callback);\n        LiteGraph.pointerListenerAdd(canvas, \"move\", this._binded_mouse_callback);\n      } else if (is_inside && (e.type == \"mousewheel\" || e.type == \"wheel\" || e.type == \"DOMMouseScroll\")) {\n        e.eventType = \"mousewheel\";\n        if (e.type == \"wheel\") {\n          e.wheel = -e.deltaY;\n        } else {\n          e.wheel = e.wheelDeltaY != null ? e.wheelDeltaY : e.detail * -60;\n        }\n        e.delta = e.wheelDelta ? e.wheelDelta / 40 : e.deltaY ? -e.deltaY / 3 : 0;\n        this.changeDeltaScale(1 + e.delta * 0.05);\n      }\n      this.last_mouse[0] = x2;\n      this.last_mouse[1] = y2;\n      if (is_inside) {\n        e.preventDefault();\n        e.stopPropagation();\n        return false;\n      }\n    }\n    toCanvasContext(ctx) {\n      ctx.scale(this.scale, this.scale);\n      ctx.translate(this.offset[0], this.offset[1]);\n    }\n    convertOffsetToCanvas(pos2) {\n      return [\n        (pos2[0] + this.offset[0]) * this.scale,\n        (pos2[1] + this.offset[1]) * this.scale\n      ];\n    }\n    convertCanvasToOffset(pos2, out) {\n      out = out || [0, 0];\n      out[0] = pos2[0] / this.scale - this.offset[0];\n      out[1] = pos2[1] / this.scale - this.offset[1];\n      return out;\n    }\n    mouseDrag(x2, y2) {\n      this.offset[0] += x2 / this.scale;\n      this.offset[1] += y2 / this.scale;\n      if (this.onredraw) {\n        this.onredraw(this);\n      }\n    }\n    changeScale(value, zooming_center) {\n      if (value < this.min_scale) {\n        value = this.min_scale;\n      } else if (value > this.max_scale) {\n        value = this.max_scale;\n      }\n      if (value == this.scale) {\n        return;\n      }\n      if (!this.element) {\n        return;\n      }\n      var rect = this.element.getBoundingClientRect();\n      if (!rect) {\n        return;\n      }\n      zooming_center = zooming_center || [\n        rect.width * 0.5,\n        rect.height * 0.5\n      ];\n      var center = this.convertCanvasToOffset(zooming_center);\n      this.scale = value;\n      if (Math.abs(this.scale - 1) < 0.01) {\n        this.scale = 1;\n      }\n      var new_center = this.convertCanvasToOffset(zooming_center);\n      var delta_offset = [\n        new_center[0] - center[0],\n        new_center[1] - center[1]\n      ];\n      this.offset[0] += delta_offset[0];\n      this.offset[1] += delta_offset[1];\n      if (this.onredraw) {\n        this.onredraw(this);\n      }\n    }\n    changeDeltaScale(value, zooming_center) {\n      this.changeScale(this.scale * value, zooming_center);\n    }\n    reset() {\n      this.scale = 1;\n      this.offset[0] = 0;\n      this.offset[1] = 0;\n    }\n  }\n  LiteGraph.DragAndScale = DragAndScale;\n  const _LGraphCanvas = class _LGraphCanvas {\n    constructor(canvas, graph, options) {\n      this.options = options = options || {};\n      this.background_image = _LGraphCanvas.DEFAULT_BACKGROUND_IMAGE;\n      if (canvas && canvas.constructor === String) {\n        canvas = document.querySelector(canvas);\n      }\n      this.ds = new DragAndScale();\n      this.zoom_modify_alpha = true;\n      this.zoom_speed = 1.1;\n      this.title_text_font = \"\" + LiteGraph.NODE_TEXT_SIZE + \"px Arial\";\n      this.inner_text_font = \"normal \" + LiteGraph.NODE_SUBTEXT_SIZE + \"px Arial\";\n      this.node_title_color = LiteGraph.NODE_TITLE_COLOR;\n      this.default_link_color = LiteGraph.LINK_COLOR;\n      this.default_connection_color = {\n        input_off: \"#778\",\n        input_on: \"#7F7\",\n        //\"#BBD\"\n        output_off: \"#778\",\n        output_on: \"#7F7\"\n        //\"#BBD\"\n      };\n      this.default_connection_color_byType = {\n        /*number: \"#7F7\",\n        string: \"#77F\",\n        boolean: \"#F77\",*/\n      };\n      this.default_connection_color_byTypeOff = {\n        /*number: \"#474\",\n        string: \"#447\",\n        boolean: \"#744\",*/\n      };\n      this.highquality_render = true;\n      this.use_gradients = false;\n      this.editor_alpha = 1;\n      this.pause_rendering = false;\n      this.clear_background = true;\n      this.clear_background_color = \"#222\";\n      this.read_only = false;\n      this.render_only_selected = true;\n      this.live_mode = false;\n      this.show_info = true;\n      this.allow_dragcanvas = true;\n      this.allow_dragnodes = true;\n      this.allow_interaction = true;\n      this.multi_select = false;\n      this.allow_searchbox = true;\n      this.allow_reconnect_links = true;\n      this.align_to_grid = false;\n      this.drag_mode = false;\n      this.dragging_rectangle = null;\n      this.filter = null;\n      this.set_canvas_dirty_on_mouse_event = true;\n      this.always_render_background = false;\n      this.render_shadows = true;\n      this.render_canvas_border = true;\n      this.render_connections_shadows = false;\n      this.render_connections_border = true;\n      this.render_curved_connections = false;\n      this.render_connection_arrows = false;\n      this.render_collapsed_slots = true;\n      this.render_execution_order = false;\n      this.render_title_colored = true;\n      this.render_link_tooltip = true;\n      this.links_render_mode = LiteGraph.SPLINE_LINK;\n      this.mouse = [0, 0];\n      this.graph_mouse = [0, 0];\n      this.canvas_mouse = this.graph_mouse;\n      this.onSearchBox = null;\n      this.onSearchBoxSelection = null;\n      this.onMouse = null;\n      this.onDrawBackground = null;\n      this.onDrawForeground = null;\n      this.onDrawOverlay = null;\n      this.onDrawLinkTooltip = null;\n      this.onNodeMoved = null;\n      this.onSelectionChange = null;\n      this.onConnectingChange = null;\n      this.onBeforeChange = null;\n      this.onAfterChange = null;\n      this.connections_width = 3;\n      this.round_radius = 8;\n      this.current_node = null;\n      this.node_widget = null;\n      this.over_link_center = null;\n      this.last_mouse_position = [0, 0];\n      this.visible_area = this.ds.visible_area;\n      this.visible_links = [];\n      this.connecting_links = null;\n      this.viewport = options.viewport || null;\n      if (graph) {\n        graph.attachCanvas(this);\n      }\n      this.setCanvas(canvas, options.skip_events);\n      this.clear();\n      if (!options.skip_render) {\n        this.startRendering();\n      }\n      this.autoresize = options.autoresize;\n    }\n    static getFileExtension(url) {\n      var question = url.indexOf(\"?\");\n      if (question != -1) {\n        url = url.substr(0, question);\n      }\n      var point = url.lastIndexOf(\".\");\n      if (point == -1) {\n        return \"\";\n      }\n      return url.substr(point + 1).toLowerCase();\n    }\n    /* this is an implementation for touch not in production and not ready\n         */\n    /*LGraphCanvas.prototype.touchHandler = function(event) {\n            //alert(\"foo\");\n            var touches = event.changedTouches,\n                first = touches[0],\n                type = \"\";\n    \n            switch (event.type) {\n                case \"touchstart\":\n                    type = \"mousedown\";\n                    break;\n                case \"touchmove\":\n                    type = \"mousemove\";\n                    break;\n                case \"touchend\":\n                    type = \"mouseup\";\n                    break;\n                default:\n                    return;\n            }\n    \n            //initMouseEvent(type, canBubble, cancelable, view, clickCount,\n            //           screenX, screenY, clientX, clientY, ctrlKey,\n            //           altKey, shiftKey, metaKey, button, relatedTarget);\n    \n            // this is eventually a Dom object, get the LGraphCanvas back\n            if(typeof this.getCanvasWindow == \"undefined\"){\n                var window = this.lgraphcanvas.getCanvasWindow();\n            }else{\n                var window = this.getCanvasWindow();\n            }\n            \n            var document = window.document;\n    \n            var simulatedEvent = document.createEvent(\"MouseEvent\");\n            simulatedEvent.initMouseEvent(\n                type,\n                true,\n                true,\n                window,\n                1,\n                first.screenX,\n                first.screenY,\n                first.clientX,\n                first.clientY,\n                false,\n                false,\n                false,\n                false,\n                0, //left\n                null\n            );\n            first.target.dispatchEvent(simulatedEvent);\n            event.preventDefault();\n        };*/\n    /* CONTEXT MENU ********************/\n    static onGroupAdd(info, entry, mouse_event) {\n      var canvas = _LGraphCanvas.active_canvas;\n      canvas.getCanvasWindow();\n      var group = new LiteGraph.LGraphGroup();\n      group.pos = canvas.convertEventToCanvasOffset(mouse_event);\n      canvas.graph.add(group);\n    }\n    /**\n         * Determines the furthest nodes in each direction\n         * @param nodes {LGraphNode[]} the nodes to from which boundary nodes will be extracted\n         * @return {{left: LGraphNode, top: LGraphNode, right: LGraphNode, bottom: LGraphNode}}\n         */\n    static getBoundaryNodes(nodes) {\n      let top = null;\n      let right = null;\n      let bottom = null;\n      let left = null;\n      for (const nID in nodes) {\n        const node2 = nodes[nID];\n        const [x2, y2] = node2.pos;\n        const [width2, height] = node2.size;\n        if (top === null || y2 < top.pos[1]) {\n          top = node2;\n        }\n        if (right === null || x2 + width2 > right.pos[0] + right.size[0]) {\n          right = node2;\n        }\n        if (bottom === null || y2 + height > bottom.pos[1] + bottom.size[1]) {\n          bottom = node2;\n        }\n        if (left === null || x2 < left.pos[0]) {\n          left = node2;\n        }\n      }\n      return {\n        \"top\": top,\n        \"right\": right,\n        \"bottom\": bottom,\n        \"left\": left\n      };\n    }\n    /**\n         *\n         * @param {LGraphNode[]} nodes a list of nodes\n         * @param {\"top\"|\"bottom\"|\"left\"|\"right\"} direction Direction to align the nodes\n         * @param {LGraphNode?} align_to Node to align to (if null, align to the furthest node in the given direction)\n         */\n    static alignNodes(nodes, direction, align_to) {\n      if (!nodes) {\n        return;\n      }\n      const canvas = _LGraphCanvas.active_canvas;\n      let boundaryNodes = [];\n      if (align_to === void 0) {\n        boundaryNodes = _LGraphCanvas.getBoundaryNodes(nodes);\n      } else {\n        boundaryNodes = {\n          \"top\": align_to,\n          \"right\": align_to,\n          \"bottom\": align_to,\n          \"left\": align_to\n        };\n      }\n      for (const [_, node2] of Object.entries(canvas.selected_nodes)) {\n        switch (direction) {\n          case \"right\":\n            node2.pos[0] = boundaryNodes[\"right\"].pos[0] + boundaryNodes[\"right\"].size[0] - node2.size[0];\n            break;\n          case \"left\":\n            node2.pos[0] = boundaryNodes[\"left\"].pos[0];\n            break;\n          case \"top\":\n            node2.pos[1] = boundaryNodes[\"top\"].pos[1];\n            break;\n          case \"bottom\":\n            node2.pos[1] = boundaryNodes[\"bottom\"].pos[1] + boundaryNodes[\"bottom\"].size[1] - node2.size[1];\n            break;\n        }\n      }\n      canvas.dirty_canvas = true;\n      canvas.dirty_bgcanvas = true;\n    }\n    static onNodeAlign(value, options, event2, prev_menu, node2) {\n      new LiteGraph.ContextMenu([\"Top\", \"Bottom\", \"Left\", \"Right\"], {\n        event: event2,\n        callback: inner_clicked,\n        parentMenu: prev_menu\n      });\n      function inner_clicked(value2) {\n        _LGraphCanvas.alignNodes(_LGraphCanvas.active_canvas.selected_nodes, value2.toLowerCase(), node2);\n      }\n    }\n    static onGroupAlign(value, options, event2, prev_menu) {\n      new LiteGraph.ContextMenu([\"Top\", \"Bottom\", \"Left\", \"Right\"], {\n        event: event2,\n        callback: inner_clicked,\n        parentMenu: prev_menu\n      });\n      function inner_clicked(value2) {\n        _LGraphCanvas.alignNodes(_LGraphCanvas.active_canvas.selected_nodes, value2.toLowerCase());\n      }\n    }\n    static onMenuAdd(node2, options, e, prev_menu, callback) {\n      var canvas = _LGraphCanvas.active_canvas;\n      var ref_window2 = canvas.getCanvasWindow();\n      var graph = canvas.graph;\n      if (!graph)\n        return;\n      function inner_onMenuAdded(base_category, prev_menu2) {\n        var categories = LiteGraph.getNodeTypesCategories(canvas.filter || graph.filter).filter(function(category) {\n          return category.startsWith(base_category);\n        });\n        var entries = [];\n        categories.map(function(category) {\n          if (!category)\n            return;\n          var base_category_regex = new RegExp(\"^(\" + base_category + \")\");\n          var category_name = category.replace(base_category_regex, \"\").split(\"/\")[0];\n          var category_path = base_category === \"\" ? category_name + \"/\" : base_category + category_name + \"/\";\n          var name = category_name;\n          if (name.indexOf(\"::\") != -1)\n            name = name.split(\"::\")[1];\n          var index2 = entries.findIndex(function(entry) {\n            return entry.value === category_path;\n          });\n          if (index2 === -1) {\n            entries.push({\n              value: category_path,\n              content: name,\n              has_submenu: true,\n              callback: function(value, event2, mouseEvent, contextMenu) {\n                inner_onMenuAdded(value.value, contextMenu);\n              }\n            });\n          }\n        });\n        var nodes = LiteGraph.getNodeTypesInCategory(base_category.slice(0, -1), canvas.filter || graph.filter);\n        nodes.map(function(node3) {\n          if (node3.skip_list)\n            return;\n          var entry = {\n            value: node3.type,\n            content: node3.title,\n            has_submenu: false,\n            callback: function(value, event2, mouseEvent, contextMenu) {\n              var first_event = contextMenu.getFirstEvent();\n              canvas.graph.beforeChange();\n              var node4 = LiteGraph.createNode(value.value);\n              if (node4) {\n                node4.pos = canvas.convertEventToCanvasOffset(first_event);\n                canvas.graph.add(node4);\n              }\n              if (callback)\n                callback(node4);\n              canvas.graph.afterChange();\n            }\n          };\n          entries.push(entry);\n        });\n        new LiteGraph.ContextMenu(entries, { event: e, parentMenu: prev_menu2 }, ref_window2);\n      }\n      inner_onMenuAdded(\"\", prev_menu);\n      return false;\n    }\n    static onMenuCollapseAll() {\n    }\n    static onMenuNodeEdit() {\n    }\n    static showMenuNodeOptionalInputs(v2, options, e, prev_menu, node2) {\n      if (!node2) {\n        return;\n      }\n      var that2 = this;\n      var canvas = _LGraphCanvas.active_canvas;\n      var ref_window2 = canvas.getCanvasWindow();\n      var options = node2.optional_inputs;\n      if (node2.onGetInputs) {\n        options = node2.onGetInputs();\n      }\n      var entries = [];\n      if (options) {\n        for (var i2 = 0; i2 < options.length; i2++) {\n          var entry = options[i2];\n          if (!entry) {\n            entries.push(null);\n            continue;\n          }\n          var label = entry[0];\n          if (!entry[2])\n            entry[2] = {};\n          if (entry[2].label) {\n            label = entry[2].label;\n          }\n          entry[2].removable = true;\n          var data = { content: label, value: entry };\n          if (entry[1] == LiteGraph.ACTION) {\n            data.className = \"event\";\n          }\n          entries.push(data);\n        }\n      }\n      if (node2.onMenuNodeInputs) {\n        var retEntries = node2.onMenuNodeInputs(entries);\n        if (retEntries) entries = retEntries;\n      }\n      if (!entries.length) {\n        console.log(\"no input entries\");\n        return;\n      }\n      new LiteGraph.ContextMenu(\n        entries,\n        {\n          event: e,\n          callback: inner_clicked,\n          parentMenu: prev_menu,\n          node: node2\n        },\n        ref_window2\n      );\n      function inner_clicked(v3, e2, prev) {\n        if (!node2) {\n          return;\n        }\n        if (v3.callback) {\n          v3.callback.call(that2, node2, v3, e2, prev);\n        }\n        if (v3.value) {\n          node2.graph.beforeChange();\n          node2.addInput(v3.value[0], v3.value[1], v3.value[2]);\n          if (node2.onNodeInputAdd) {\n            node2.onNodeInputAdd(v3.value);\n          }\n          node2.setDirtyCanvas(true, true);\n          node2.graph.afterChange();\n        }\n      }\n      return false;\n    }\n    static showMenuNodeOptionalOutputs(v2, options, e, prev_menu, node2) {\n      if (!node2) {\n        return;\n      }\n      var that2 = this;\n      var canvas = _LGraphCanvas.active_canvas;\n      var ref_window2 = canvas.getCanvasWindow();\n      var options = node2.optional_outputs;\n      if (node2.onGetOutputs) {\n        options = node2.onGetOutputs();\n      }\n      var entries = [];\n      if (options) {\n        for (var i2 = 0; i2 < options.length; i2++) {\n          var entry = options[i2];\n          if (!entry) {\n            entries.push(null);\n            continue;\n          }\n          if (node2.flags && node2.flags.skip_repeated_outputs && node2.findOutputSlot(entry[0]) != -1) {\n            continue;\n          }\n          var label = entry[0];\n          if (!entry[2])\n            entry[2] = {};\n          if (entry[2].label) {\n            label = entry[2].label;\n          }\n          entry[2].removable = true;\n          var data = { content: label, value: entry };\n          if (entry[1] == LiteGraph.EVENT) {\n            data.className = \"event\";\n          }\n          entries.push(data);\n        }\n      }\n      if (this.onMenuNodeOutputs) {\n        entries = this.onMenuNodeOutputs(entries);\n      }\n      if (LiteGraph.do_add_triggers_slots) {\n        if (node2.findOutputSlot(\"onExecuted\") == -1) {\n          entries.push({ content: \"On Executed\", value: [\"onExecuted\", LiteGraph.EVENT, { nameLocked: true }], className: \"event\" });\n        }\n      }\n      if (node2.onMenuNodeOutputs) {\n        var retEntries = node2.onMenuNodeOutputs(entries);\n        if (retEntries) entries = retEntries;\n      }\n      if (!entries.length) {\n        return;\n      }\n      new LiteGraph.ContextMenu(\n        entries,\n        {\n          event: e,\n          callback: inner_clicked,\n          parentMenu: prev_menu,\n          node: node2\n        },\n        ref_window2\n      );\n      function inner_clicked(v3, e2, prev) {\n        if (!node2) {\n          return;\n        }\n        if (v3.callback) {\n          v3.callback.call(that2, node2, v3, e2, prev);\n        }\n        if (!v3.value) {\n          return;\n        }\n        var value = v3.value[1];\n        if (value && (value.constructor === Object || value.constructor === Array)) {\n          var entries2 = [];\n          for (var i3 in value) {\n            entries2.push({ content: i3, value: value[i3] });\n          }\n          new LiteGraph.ContextMenu(entries2, {\n            event: e2,\n            callback: inner_clicked,\n            parentMenu: prev_menu,\n            node: node2\n          });\n          return false;\n        } else {\n          node2.graph.beforeChange();\n          node2.addOutput(v3.value[0], v3.value[1], v3.value[2]);\n          if (node2.onNodeOutputAdd) {\n            node2.onNodeOutputAdd(v3.value);\n          }\n          node2.setDirtyCanvas(true, true);\n          node2.graph.afterChange();\n        }\n      }\n      return false;\n    }\n    static onShowMenuNodeProperties(value, options, e, prev_menu, node2) {\n      if (!node2 || !node2.properties) {\n        return;\n      }\n      var canvas = _LGraphCanvas.active_canvas;\n      var ref_window2 = canvas.getCanvasWindow();\n      var entries = [];\n      for (var i2 in node2.properties) {\n        var value = node2.properties[i2] !== void 0 ? node2.properties[i2] : \" \";\n        if (typeof value == \"object\")\n          value = JSON.stringify(value);\n        var info = node2.getPropertyInfo(i2);\n        if (info.type == \"enum\" || info.type == \"combo\")\n          value = _LGraphCanvas.getPropertyPrintableValue(value, info.values);\n        value = _LGraphCanvas.decodeHTML(value);\n        entries.push({\n          content: \"<span class='property_name'>\" + (info.label ? info.label : i2) + \"</span><span class='property_value'>\" + value + \"</span>\",\n          value: i2\n        });\n      }\n      if (!entries.length) {\n        return;\n      }\n      new LiteGraph.ContextMenu(\n        entries,\n        {\n          event: e,\n          callback: inner_clicked,\n          parentMenu: prev_menu,\n          allow_html: true,\n          node: node2\n        },\n        ref_window2\n      );\n      function inner_clicked(v2, options2, e2, prev) {\n        if (!node2) {\n          return;\n        }\n        var rect = this.getBoundingClientRect();\n        canvas.showEditPropertyValue(node2, v2.value, {\n          position: [rect.left, rect.top]\n        });\n      }\n      return false;\n    }\n    static decodeHTML(str) {\n      var e = document.createElement(\"div\");\n      e.innerText = str;\n      return e.innerHTML;\n    }\n    static onMenuResizeNode(value, options, e, menu, node2) {\n      if (!node2) {\n        return;\n      }\n      var fApplyMultiNode = function(node3) {\n        node3.size = node3.computeSize();\n        if (node3.onResize)\n          node3.onResize(node3.size);\n      };\n      var graphcanvas = _LGraphCanvas.active_canvas;\n      if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {\n        fApplyMultiNode(node2);\n      } else {\n        for (var i2 in graphcanvas.selected_nodes) {\n          fApplyMultiNode(graphcanvas.selected_nodes[i2]);\n        }\n      }\n      node2.setDirtyCanvas(true, true);\n    }\n    // TODO refactor :: this is used fot title but not for properties!\n    static onShowPropertyEditor(item, options, e, menu, node2) {\n      var property = item.property || \"title\";\n      var value = node2[property];\n      var dialog = document.createElement(\"div\");\n      dialog.is_modified = false;\n      dialog.className = \"graphdialog\";\n      dialog.innerHTML = \"<span class='name'></span><input autofocus type='text' class='value'/><button>OK</button>\";\n      dialog.close = function() {\n        if (dialog.parentNode) {\n          dialog.parentNode.removeChild(dialog);\n        }\n      };\n      var title = dialog.querySelector(\".name\");\n      title.innerText = property;\n      var input = dialog.querySelector(\".value\");\n      if (input) {\n        input.value = value;\n        input.addEventListener(\"blur\", function(e2) {\n          this.focus();\n        });\n        input.addEventListener(\"keydown\", function(e2) {\n          dialog.is_modified = true;\n          if (e2.keyCode == 27) {\n            dialog.close();\n          } else if (e2.keyCode == 13) {\n            inner();\n          } else if (e2.keyCode != 13 && e2.target.localName != \"textarea\") {\n            return;\n          }\n          e2.preventDefault();\n          e2.stopPropagation();\n        });\n      }\n      var graphcanvas = _LGraphCanvas.active_canvas;\n      var canvas = graphcanvas.canvas;\n      var rect = canvas.getBoundingClientRect();\n      var offsetx = -20;\n      var offsety = -20;\n      if (rect) {\n        offsetx -= rect.left;\n        offsety -= rect.top;\n      }\n      if (event) {\n        dialog.style.left = event.clientX + offsetx + \"px\";\n        dialog.style.top = event.clientY + offsety + \"px\";\n      } else {\n        dialog.style.left = canvas.width * 0.5 + offsetx + \"px\";\n        dialog.style.top = canvas.height * 0.5 + offsety + \"px\";\n      }\n      var button = dialog.querySelector(\"button\");\n      button.addEventListener(\"click\", inner);\n      canvas.parentNode.appendChild(dialog);\n      if (input) input.focus();\n      var dialogCloseTimer = null;\n      dialog.addEventListener(\"mouseleave\", function(e2) {\n        if (LiteGraph.dialog_close_on_mouse_leave) {\n          if (!dialog.is_modified && LiteGraph.dialog_close_on_mouse_leave)\n            dialogCloseTimer = setTimeout(dialog.close, LiteGraph.dialog_close_on_mouse_leave_delay);\n        }\n      });\n      dialog.addEventListener(\"mouseenter\", function(e2) {\n        if (LiteGraph.dialog_close_on_mouse_leave) {\n          if (dialogCloseTimer) clearTimeout(dialogCloseTimer);\n        }\n      });\n      function inner() {\n        if (input) setValue(input.value);\n      }\n      function setValue(value2) {\n        if (item.type == \"Number\") {\n          value2 = Number(value2);\n        } else if (item.type == \"Boolean\") {\n          value2 = Boolean(value2);\n        }\n        node2[property] = value2;\n        if (dialog.parentNode) {\n          dialog.parentNode.removeChild(dialog);\n        }\n        node2.setDirtyCanvas(true, true);\n      }\n    }\n    static getPropertyPrintableValue(value, values2) {\n      if (!values2)\n        return String(value);\n      if (values2.constructor === Array) {\n        return String(value);\n      }\n      if (values2.constructor === Object) {\n        var desc_value = \"\";\n        for (var k in values2) {\n          if (values2[k] != value)\n            continue;\n          desc_value = k;\n          break;\n        }\n        return String(value) + \" (\" + desc_value + \")\";\n      }\n    }\n    static onMenuNodeCollapse(value, options, e, menu, node2) {\n      node2.graph.beforeChange(\n        /*?*/\n      );\n      var fApplyMultiNode = function(node3) {\n        node3.collapse();\n      };\n      var graphcanvas = _LGraphCanvas.active_canvas;\n      if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {\n        fApplyMultiNode(node2);\n      } else {\n        for (var i2 in graphcanvas.selected_nodes) {\n          fApplyMultiNode(graphcanvas.selected_nodes[i2]);\n        }\n      }\n      node2.graph.afterChange(\n        /*?*/\n      );\n    }\n    static onMenuNodePin(value, options, e, menu, node2) {\n      node2.pin();\n    }\n    static onMenuNodeMode(value, options, e, menu, node2) {\n      new LiteGraph.ContextMenu(\n        LiteGraph.NODE_MODES,\n        { event: e, callback: inner_clicked, parentMenu: menu, node: node2 }\n      );\n      function inner_clicked(v2) {\n        if (!node2) {\n          return;\n        }\n        var kV = Object.values(LiteGraph.NODE_MODES).indexOf(v2);\n        var fApplyMultiNode = function(node3) {\n          if (kV >= 0 && LiteGraph.NODE_MODES[kV])\n            node3.changeMode(kV);\n          else {\n            console.warn(\"unexpected mode: \" + v2);\n            node3.changeMode(LiteGraph.ALWAYS);\n          }\n        };\n        var graphcanvas = _LGraphCanvas.active_canvas;\n        if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {\n          fApplyMultiNode(node2);\n        } else {\n          for (var i2 in graphcanvas.selected_nodes) {\n            fApplyMultiNode(graphcanvas.selected_nodes[i2]);\n          }\n        }\n      }\n      return false;\n    }\n    static onMenuNodeColors(value, options, e, menu, node2) {\n      if (!node2) {\n        throw \"no node for color\";\n      }\n      var values2 = [];\n      values2.push({\n        value: null,\n        content: \"<span style='display: block; padding-left: 4px;'>No color</span>\"\n      });\n      for (var i2 in _LGraphCanvas.node_colors) {\n        var color = _LGraphCanvas.node_colors[i2];\n        var value = {\n          value: i2,\n          content: \"<span style='display: block; color: #999; padding-left: 4px; border-left: 8px solid \" + color.color + \"; background-color:\" + color.bgcolor + \"'>\" + i2 + \"</span>\"\n        };\n        values2.push(value);\n      }\n      new LiteGraph.ContextMenu(values2, {\n        event: e,\n        callback: inner_clicked,\n        parentMenu: menu,\n        node: node2\n      });\n      function inner_clicked(v2) {\n        if (!node2) {\n          return;\n        }\n        var color2 = v2.value ? _LGraphCanvas.node_colors[v2.value] : null;\n        var fApplyColor = function(node3) {\n          if (color2) {\n            if (node3.constructor === LiteGraph.LGraphGroup) {\n              node3.color = color2.groupcolor;\n            } else {\n              node3.color = color2.color;\n              node3.bgcolor = color2.bgcolor;\n            }\n          } else {\n            delete node3.color;\n            delete node3.bgcolor;\n          }\n        };\n        var graphcanvas = _LGraphCanvas.active_canvas;\n        if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {\n          fApplyColor(node2);\n        } else {\n          for (var i3 in graphcanvas.selected_nodes) {\n            fApplyColor(graphcanvas.selected_nodes[i3]);\n          }\n        }\n        node2.setDirtyCanvas(true, true);\n      }\n      return false;\n    }\n    static onMenuNodeShapes(value, options, e, menu, node2) {\n      if (!node2) {\n        throw \"no node passed\";\n      }\n      new LiteGraph.ContextMenu(LiteGraph.VALID_SHAPES, {\n        event: e,\n        callback: inner_clicked,\n        parentMenu: menu,\n        node: node2\n      });\n      function inner_clicked(v2) {\n        if (!node2) {\n          return;\n        }\n        node2.graph.beforeChange(\n          /*?*/\n        );\n        var fApplyMultiNode = function(node3) {\n          node3.shape = v2;\n        };\n        var graphcanvas = _LGraphCanvas.active_canvas;\n        if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {\n          fApplyMultiNode(node2);\n        } else {\n          for (var i2 in graphcanvas.selected_nodes) {\n            fApplyMultiNode(graphcanvas.selected_nodes[i2]);\n          }\n        }\n        node2.graph.afterChange(\n          /*?*/\n        );\n        node2.setDirtyCanvas(true);\n      }\n      return false;\n    }\n    static onMenuNodeRemove(value, options, e, menu, node2) {\n      if (!node2) {\n        throw \"no node passed\";\n      }\n      var graph = node2.graph;\n      graph.beforeChange();\n      var fApplyMultiNode = function(node3) {\n        if (node3.removable === false) {\n          return;\n        }\n        graph.remove(node3);\n      };\n      var graphcanvas = _LGraphCanvas.active_canvas;\n      if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {\n        fApplyMultiNode(node2);\n      } else {\n        for (var i2 in graphcanvas.selected_nodes) {\n          fApplyMultiNode(graphcanvas.selected_nodes[i2]);\n        }\n      }\n      graph.afterChange();\n      node2.setDirtyCanvas(true, true);\n    }\n    static onMenuNodeToSubgraph(value, options, e, menu, node2) {\n      var graph = node2.graph;\n      var graphcanvas = _LGraphCanvas.active_canvas;\n      if (!graphcanvas)\n        return;\n      var nodes_list = Object.values(graphcanvas.selected_nodes || {});\n      if (!nodes_list.length)\n        nodes_list = [node2];\n      var subgraph_node = LiteGraph.createNode(\"graph/subgraph\");\n      subgraph_node.pos = node2.pos.concat();\n      graph.add(subgraph_node);\n      subgraph_node.buildFromNodes(nodes_list);\n      graphcanvas.deselectAllNodes();\n      node2.setDirtyCanvas(true, true);\n    }\n    static onMenuNodeClone(value, options, e, menu, node2) {\n      node2.graph.beforeChange();\n      var newSelected = {};\n      var fApplyMultiNode = function(node3) {\n        if (node3.clonable === false) {\n          return;\n        }\n        var newnode = node3.clone();\n        if (!newnode) {\n          return;\n        }\n        newnode.pos = [node3.pos[0] + 5, node3.pos[1] + 5];\n        node3.graph.add(newnode);\n        newSelected[newnode.id] = newnode;\n      };\n      var graphcanvas = _LGraphCanvas.active_canvas;\n      if (!graphcanvas.selected_nodes || Object.keys(graphcanvas.selected_nodes).length <= 1) {\n        fApplyMultiNode(node2);\n      } else {\n        for (var i2 in graphcanvas.selected_nodes) {\n          fApplyMultiNode(graphcanvas.selected_nodes[i2]);\n        }\n      }\n      if (Object.keys(newSelected).length) {\n        graphcanvas.selectNodes(newSelected);\n      }\n      node2.graph.afterChange();\n      node2.setDirtyCanvas(true, true);\n    }\n    /**\n         * clears all the data inside\n         *\n         * @method clear\n         */\n    clear() {\n      this.frame = 0;\n      this.last_draw_time = 0;\n      this.render_time = 0;\n      this.fps = 0;\n      this.dragging_rectangle = null;\n      this.selected_nodes = {};\n      this.selected_group = null;\n      this.visible_nodes = [];\n      this.node_dragged = null;\n      this.node_over = null;\n      this.node_capturing_input = null;\n      this.connecting_links = null;\n      this.highlighted_links = {};\n      this.dragging_canvas = false;\n      this.dirty_canvas = true;\n      this.dirty_bgcanvas = true;\n      this.dirty_area = null;\n      this.node_in_panel = null;\n      this.node_widget = null;\n      this.last_mouse = [0, 0];\n      this.last_mouseclick = 0;\n      this.pointer_is_down = false;\n      this.pointer_is_double = false;\n      this.visible_area.set([0, 0, 0, 0]);\n      if (this.onClear) {\n        this.onClear();\n      }\n    }\n    /**\n         * assigns a graph, you can reassign graphs to the same canvas\n         *\n         * @method setGraph\n         * @param {LGraph} graph\n         */\n    setGraph(graph, skip_clear) {\n      if (this.graph == graph) {\n        return;\n      }\n      if (!skip_clear) {\n        this.clear();\n      }\n      if (!graph && this.graph) {\n        this.graph.detachCanvas(this);\n        return;\n      }\n      graph.attachCanvas(this);\n      if (this._graph_stack)\n        this._graph_stack = null;\n      this.setDirty(true, true);\n    }\n    /**\n         * returns the top level graph (in case there are subgraphs open on the canvas)\n         *\n         * @method getTopGraph\n         * @return {LGraph} graph\n         */\n    getTopGraph() {\n      if (this._graph_stack.length)\n        return this._graph_stack[0];\n      return this.graph;\n    }\n    /**\n         * opens a graph contained inside a node in the current graph\n         *\n         * @method openSubgraph\n         * @param {LGraph} graph\n         */\n    openSubgraph(graph) {\n      if (!graph) {\n        throw \"graph cannot be null\";\n      }\n      if (this.graph == graph) {\n        throw \"graph cannot be the same\";\n      }\n      this.clear();\n      if (this.graph) {\n        if (!this._graph_stack) {\n          this._graph_stack = [];\n        }\n        this._graph_stack.push(this.graph);\n      }\n      graph.attachCanvas(this);\n      this.checkPanels();\n      this.setDirty(true, true);\n    }\n    /**\n         * closes a subgraph contained inside a node\n         *\n         * @method closeSubgraph\n         * @param {LGraph} assigns a graph\n         */\n    closeSubgraph() {\n      if (!this._graph_stack || this._graph_stack.length == 0) {\n        return;\n      }\n      var subgraph_node = this.graph._subgraph_node;\n      var graph = this._graph_stack.pop();\n      this.selected_nodes = {};\n      this.highlighted_links = {};\n      graph.attachCanvas(this);\n      this.setDirty(true, true);\n      if (subgraph_node) {\n        this.centerOnNode(subgraph_node);\n        this.selectNodes([subgraph_node]);\n      }\n      this.ds.offset = [0, 0];\n      this.ds.scale = 1;\n    }\n    /**\n         * returns the visually active graph (in case there are more in the stack)\n         * @method getCurrentGraph\n         * @return {LGraph} the active graph\n         */\n    getCurrentGraph() {\n      return this.graph;\n    }\n    /**\n         * assigns a canvas\n         *\n         * @method setCanvas\n         * @param {Canvas} assigns a canvas (also accepts the ID of the element (not a selector)\n         */\n    setCanvas(canvas, skip_events) {\n      if (canvas) {\n        if (canvas.constructor === String) {\n          canvas = document.getElementById(canvas);\n          if (!canvas) {\n            throw \"Error creating LiteGraph canvas: Canvas not found\";\n          }\n        }\n      }\n      if (canvas === this.canvas) {\n        return;\n      }\n      if (!canvas && this.canvas) {\n        if (!skip_events) {\n          this.unbindEvents();\n        }\n      }\n      this.canvas = canvas;\n      this.ds.element = canvas;\n      if (!canvas) {\n        return;\n      }\n      canvas.className += \" lgraphcanvas\";\n      canvas.data = this;\n      canvas.tabindex = \"1\";\n      this.bgcanvas = null;\n      if (!this.bgcanvas) {\n        this.bgcanvas = document.createElement(\"canvas\");\n        this.bgcanvas.width = this.canvas.width;\n        this.bgcanvas.height = this.canvas.height;\n      }\n      if (canvas.getContext == null) {\n        if (canvas.localName != \"canvas\") {\n          throw \"Element supplied for LGraphCanvas must be a <canvas> element, you passed a \" + canvas.localName;\n        }\n        throw \"This browser doesn't support Canvas\";\n      }\n      var ctx = this.ctx = canvas.getContext(\"2d\");\n      if (ctx == null) {\n        if (!canvas.webgl_enabled) {\n          console.warn(\n            \"This canvas seems to be WebGL, enabling WebGL renderer\"\n          );\n        }\n        this.enableWebGL();\n      }\n      if (!skip_events) {\n        this.bindEvents();\n      }\n    }\n    //used in some events to capture them\n    _doNothing(e) {\n      e.preventDefault();\n      return false;\n    }\n    _doReturnTrue(e) {\n      e.preventDefault();\n      return true;\n    }\n    /**\n         * binds mouse, keyboard, touch and drag events to the canvas\n         * @method bindEvents\n         **/\n    bindEvents() {\n      if (this._events_binded) {\n        console.warn(\"LGraphCanvas: events already binded\");\n        return;\n      }\n      var canvas = this.canvas;\n      var ref_window2 = this.getCanvasWindow();\n      var document2 = ref_window2.document;\n      this._mousedown_callback = this.processMouseDown.bind(this);\n      this._mousewheel_callback = this.processMouseWheel.bind(this);\n      this._mousemove_callback = this.processMouseMove.bind(this);\n      this._mouseup_callback = this.processMouseUp.bind(this);\n      LiteGraph.pointerListenerAdd(canvas, \"down\", this._mousedown_callback, true);\n      canvas.addEventListener(\"mousewheel\", this._mousewheel_callback, false);\n      LiteGraph.pointerListenerAdd(canvas, \"up\", this._mouseup_callback, true);\n      LiteGraph.pointerListenerAdd(canvas, \"move\", this._mousemove_callback);\n      canvas.addEventListener(\"contextmenu\", this._doNothing);\n      canvas.addEventListener(\n        \"DOMMouseScroll\",\n        this._mousewheel_callback,\n        false\n      );\n      this._key_callback = this.processKey.bind(this);\n      canvas.addEventListener(\"keydown\", this._key_callback, true);\n      document2.addEventListener(\"keyup\", this._key_callback, true);\n      this._ondrop_callback = this.processDrop.bind(this);\n      canvas.addEventListener(\"dragover\", this._doNothing, false);\n      canvas.addEventListener(\"dragend\", this._doNothing, false);\n      canvas.addEventListener(\"drop\", this._ondrop_callback, false);\n      canvas.addEventListener(\"dragenter\", this._doReturnTrue, false);\n      this._events_binded = true;\n    }\n    /**\n         * unbinds mouse events from the canvas\n         * @method unbindEvents\n         **/\n    unbindEvents() {\n      if (!this._events_binded) {\n        console.warn(\"LGraphCanvas: no events binded\");\n        return;\n      }\n      var ref_window2 = this.getCanvasWindow();\n      var document2 = ref_window2.document;\n      LiteGraph.pointerListenerRemove(this.canvas, \"move\", this._mousemove_callback);\n      LiteGraph.pointerListenerRemove(this.canvas, \"up\", this._mouseup_callback);\n      LiteGraph.pointerListenerRemove(this.canvas, \"down\", this._mousedown_callback);\n      this.canvas.removeEventListener(\n        \"mousewheel\",\n        this._mousewheel_callback\n      );\n      this.canvas.removeEventListener(\n        \"DOMMouseScroll\",\n        this._mousewheel_callback\n      );\n      this.canvas.removeEventListener(\"keydown\", this._key_callback);\n      document2.removeEventListener(\"keyup\", this._key_callback);\n      this.canvas.removeEventListener(\"contextmenu\", this._doNothing);\n      this.canvas.removeEventListener(\"drop\", this._ondrop_callback);\n      this.canvas.removeEventListener(\"dragenter\", this._doReturnTrue);\n      this._mousedown_callback = null;\n      this._mousewheel_callback = null;\n      this._key_callback = null;\n      this._ondrop_callback = null;\n      this._events_binded = false;\n    }\n    /**\n         * this function allows to render the canvas using WebGL instead of Canvas2D\n         * this is useful if you plant to render 3D objects inside your nodes, it uses litegl.js for webgl and canvas2DtoWebGL to emulate the Canvas2D calls in webGL\n         * @method enableWebGL\n         **/\n    enableWebGL() {\n      if (typeof GL === \"undefined\") {\n        throw \"litegl.js must be included to use a WebGL canvas\";\n      }\n      if (typeof enableWebGLCanvas === \"undefined\") {\n        throw \"webglCanvas.js must be included to use this feature\";\n      }\n      this.gl = this.ctx = enableWebGLCanvas(this.canvas);\n      this.ctx.webgl = true;\n      this.bgcanvas = this.canvas;\n      this.bgctx = this.gl;\n      this.canvas.webgl_enabled = true;\n    }\n    /**\n         * marks as dirty the canvas, this way it will be rendered again\n         *\n         * @class LGraphCanvas\n         * @method setDirty\n         * @param {bool} fgcanvas if the foreground canvas is dirty (the one containing the nodes)\n         * @param {bool} bgcanvas if the background canvas is dirty (the one containing the wires)\n         */\n    setDirty(fgcanvas, bgcanvas) {\n      if (fgcanvas) {\n        this.dirty_canvas = true;\n      }\n      if (bgcanvas) {\n        this.dirty_bgcanvas = true;\n      }\n    }\n    /**\n         * Used to attach the canvas in a popup\n         *\n         * @method getCanvasWindow\n         * @return {window} returns the window where the canvas is attached (the DOM root node)\n         */\n    getCanvasWindow() {\n      if (!this.canvas) {\n        return window;\n      }\n      var doc = this.canvas.ownerDocument;\n      return doc.defaultView || doc.parentWindow;\n    }\n    /**\n         * starts rendering the content of the canvas when needed\n         *\n         * @method startRendering\n         */\n    startRendering() {\n      if (this.is_rendering) {\n        return;\n      }\n      this.is_rendering = true;\n      renderFrame.call(this);\n      function renderFrame() {\n        if (!this.pause_rendering) {\n          this.draw();\n        }\n        var window2 = this.getCanvasWindow();\n        if (this.is_rendering) {\n          window2.requestAnimationFrame(renderFrame.bind(this));\n        }\n      }\n    }\n    /**\n         * stops rendering the content of the canvas (to save resources)\n         *\n         * @method stopRendering\n         */\n    stopRendering() {\n      this.is_rendering = false;\n    }\n    /* LiteGraphCanvas input */\n    //used to block future mouse events (because of im gui)\n    blockClick() {\n      this.block_click = true;\n      this.last_mouseclick = 0;\n    }\n    processMouseDown(e) {\n      var _a;\n      if (this.set_canvas_dirty_on_mouse_event)\n        this.dirty_canvas = true;\n      if (!this.graph) {\n        return;\n      }\n      this.adjustMouseEvent(e);\n      var ref_window2 = this.getCanvasWindow();\n      ref_window2.document;\n      _LGraphCanvas.active_canvas = this;\n      var that2 = this;\n      var x2 = e.clientX;\n      var y2 = e.clientY;\n      this.ds.viewport = this.viewport;\n      var is_inside = !this.viewport || this.viewport && x2 >= this.viewport[0] && x2 < this.viewport[0] + this.viewport[2] && y2 >= this.viewport[1] && y2 < this.viewport[1] + this.viewport[3];\n      if (!this.options.skip_events) {\n        LiteGraph.pointerListenerRemove(this.canvas, \"move\", this._mousemove_callback);\n        LiteGraph.pointerListenerAdd(ref_window2.document, \"move\", this._mousemove_callback, true);\n        LiteGraph.pointerListenerAdd(ref_window2.document, \"up\", this._mouseup_callback, true);\n      }\n      if (!is_inside) {\n        return;\n      }\n      var node2 = this.graph.getNodeOnPos(e.canvasX, e.canvasY, this.visible_nodes, 5);\n      var skip_action = false;\n      var now = LiteGraph.getTime();\n      var is_primary = e.isPrimary === void 0 || !e.isPrimary;\n      var is_double_click = now - this.last_mouseclick < 300;\n      this.mouse[0] = e.clientX;\n      this.mouse[1] = e.clientY;\n      this.graph_mouse[0] = e.canvasX;\n      this.graph_mouse[1] = e.canvasY;\n      this.last_click_position = [this.mouse[0], this.mouse[1]];\n      if (this.pointer_is_down && is_primary) {\n        this.pointer_is_double = true;\n      } else {\n        this.pointer_is_double = false;\n      }\n      this.pointer_is_down = true;\n      this.canvas.focus();\n      LiteGraph.closeAllContextMenus(ref_window2);\n      if (this.onMouse) {\n        if (this.onMouse(e) == true)\n          return;\n      }\n      if (e.which == 1 && !this.pointer_is_double) {\n        if (e.ctrlKey && !e.altKey) {\n          this.dragging_rectangle = new Float32Array(4);\n          this.dragging_rectangle[0] = e.canvasX;\n          this.dragging_rectangle[1] = e.canvasY;\n          this.dragging_rectangle[2] = 1;\n          this.dragging_rectangle[3] = 1;\n          skip_action = true;\n        }\n        if (LiteGraph.alt_drag_do_clone_nodes && e.altKey && !e.ctrlKey && node2 && this.allow_interaction && !skip_action && !this.read_only) {\n          const cloned = node2.clone();\n          if (cloned) {\n            cloned.pos[0] += 5;\n            cloned.pos[1] += 5;\n            this.graph.add(cloned, false, { doCalcSize: false });\n            node2 = cloned;\n            skip_action = true;\n            if (!block_drag_node) {\n              if (this.allow_dragnodes) {\n                this.graph.beforeChange();\n                this.node_dragged = node2;\n              }\n              if (!this.selected_nodes[node2.id]) {\n                this.processNodeSelected(node2, e);\n              }\n            }\n          }\n        }\n        var clicking_canvas_bg = false;\n        if (node2 && (this.allow_interaction || node2.flags.allow_interaction) && !skip_action && !this.read_only) {\n          if (!this.live_mode && !node2.flags.pinned) {\n            this.bringToFront(node2);\n          }\n          if (this.allow_interaction && !this.connecting_links && !node2.flags.collapsed && !this.live_mode) {\n            if (!skip_action && node2.resizable !== false && node2.inResizeCorner(e.canvasX, e.canvasY)) {\n              this.graph.beforeChange();\n              this.resizing_node = node2;\n              this.canvas.style.cursor = \"se-resize\";\n              skip_action = true;\n            } else {\n              if (node2.outputs) {\n                for (var i2 = 0, l = node2.outputs.length; i2 < l; ++i2) {\n                  var output = node2.outputs[i2];\n                  var link_pos = node2.getConnectionPos(false, i2);\n                  if (isInsideRectangle(\n                    e.canvasX,\n                    e.canvasY,\n                    link_pos[0] - 15,\n                    link_pos[1] - 10,\n                    30,\n                    20\n                  )) {\n                    if (e.shiftKey) {\n                      if (((_a = output.links) == null ? void 0 : _a.length) > 0) {\n                        this.connecting_links = [];\n                        for (const linkId of output.links) {\n                          const link2 = this.graph.links[linkId];\n                          const slot = link2.target_slot;\n                          const linked_node = this.graph._nodes_by_id[link2.target_id];\n                          const input2 = linked_node.inputs[slot];\n                          const pos3 = linked_node.getConnectionPos(true, slot);\n                          this.connecting_links.push({\n                            node: linked_node,\n                            slot,\n                            input: input2,\n                            output: null,\n                            pos: pos3\n                          });\n                        }\n                        skip_action = true;\n                        break;\n                      }\n                    }\n                    output.slot_index = i2;\n                    this.connecting_links = [\n                      {\n                        node: node2,\n                        slot: i2,\n                        input: null,\n                        output,\n                        pos: link_pos\n                      }\n                    ];\n                    if (LiteGraph.shift_click_do_break_link_from) {\n                      if (e.shiftKey) {\n                        node2.disconnectOutput(i2);\n                      }\n                    } else if (LiteGraph.ctrl_alt_click_do_break_link) {\n                      if (e.ctrlKey && e.altKey && !e.shiftKey) {\n                        node2.disconnectOutput(i2);\n                      }\n                    }\n                    if (is_double_click) {\n                      if (node2.onOutputDblClick) {\n                        node2.onOutputDblClick(i2, e);\n                      }\n                    } else {\n                      if (node2.onOutputClick) {\n                        node2.onOutputClick(i2, e);\n                      }\n                    }\n                    skip_action = true;\n                    break;\n                  }\n                }\n              }\n              if (node2.inputs) {\n                for (var i2 = 0, l = node2.inputs.length; i2 < l; ++i2) {\n                  var input = node2.inputs[i2];\n                  var link_pos = node2.getConnectionPos(true, i2);\n                  if (isInsideRectangle(\n                    e.canvasX,\n                    e.canvasY,\n                    link_pos[0] - 15,\n                    link_pos[1] - 10,\n                    30,\n                    20\n                  )) {\n                    if (is_double_click) {\n                      if (node2.onInputDblClick) {\n                        node2.onInputDblClick(i2, e);\n                      }\n                    } else {\n                      if (node2.onInputClick) {\n                        node2.onInputClick(i2, e);\n                      }\n                    }\n                    if (input.link !== null) {\n                      var link_info = this.graph.links[input.link];\n                      if (LiteGraph.click_do_break_link_to || LiteGraph.ctrl_alt_click_do_break_link && e.ctrlKey && e.altKey && !e.shiftKey) {\n                        node2.disconnectInput(i2);\n                      } else if (this.allow_reconnect_links || //this.move_destination_link_without_shift ||\n                      e.shiftKey) {\n                        if (!LiteGraph.click_do_break_link_to) {\n                          node2.disconnectInput(i2);\n                        }\n                        const linked_node = this.graph._nodes_by_id[link_info.origin_id];\n                        const slot = link_info.origin_slot;\n                        this.connecting_links = [\n                          {\n                            node: linked_node,\n                            slot,\n                            input: null,\n                            output: linked_node.outputs[slot],\n                            pos: linked_node.getConnectionPos(false, slot)\n                          }\n                        ];\n                        this.dirty_bgcanvas = true;\n                        skip_action = true;\n                      } else ;\n                    }\n                    if (!skip_action) {\n                      this.connecting_links = [\n                        {\n                          node: node2,\n                          slot: i2,\n                          input,\n                          output: null,\n                          pos: link_pos\n                        }\n                      ];\n                      this.dirty_bgcanvas = true;\n                      skip_action = true;\n                    }\n                    break;\n                  }\n                }\n              }\n            }\n          }\n          if (!skip_action) {\n            var block_drag_node = false;\n            if (node2 && node2.flags && node2.flags.pinned) {\n              block_drag_node = true;\n            }\n            var pos2 = [e.canvasX - node2.pos[0], e.canvasY - node2.pos[1]];\n            var widget = this.processNodeWidgets(node2, this.graph_mouse, e);\n            if (widget) {\n              block_drag_node = true;\n              this.node_widget = [node2, widget];\n            }\n            if (this.allow_interaction && is_double_click && this.selected_nodes[node2.id]) {\n              if (pos2[1] < 0) {\n                if (node2.onNodeTitleDblClick) {\n                  node2.onNodeTitleDblClick(e, pos2, this);\n                }\n              }\n              if (node2.onDblClick) {\n                node2.onDblClick(e, pos2, this);\n              }\n              this.processNodeDblClicked(node2);\n              block_drag_node = true;\n            }\n            if (node2.onMouseDown && node2.onMouseDown(e, pos2, this)) {\n              block_drag_node = true;\n            } else {\n              if (node2.subgraph && !node2.skip_subgraph_button) {\n                if (!node2.flags.collapsed && pos2[0] > node2.size[0] - LiteGraph.NODE_TITLE_HEIGHT && pos2[1] < 0) {\n                  var that2 = this;\n                  setTimeout(function() {\n                    that2.openSubgraph(node2.subgraph);\n                  }, 10);\n                }\n              }\n              if (this.live_mode) {\n                clicking_canvas_bg = true;\n                block_drag_node = true;\n              }\n            }\n            if (!block_drag_node) {\n              if (this.allow_dragnodes) {\n                this.graph.beforeChange();\n                this.node_dragged = node2;\n              }\n              if (!(e.shiftKey && !e.ctrlKey && !e.altKey) || !node2.is_selected) {\n                this.processNodeSelected(node2, e);\n              }\n            } else {\n              if (!node2.is_selected) this.processNodeSelected(node2, e);\n            }\n            this.dirty_canvas = true;\n          }\n        } else {\n          if (!skip_action) {\n            if (!this.read_only) {\n              for (var i2 = 0; i2 < this.visible_links.length; ++i2) {\n                var link = this.visible_links[i2];\n                var center = link._pos;\n                if (!center || e.canvasX < center[0] - 4 || e.canvasX > center[0] + 4 || e.canvasY < center[1] - 4 || e.canvasY > center[1] + 4) {\n                  continue;\n                }\n                this.showLinkMenu(link, e);\n                this.over_link_center = null;\n                break;\n              }\n            }\n            this.selected_group = this.graph.getGroupOnPos(e.canvasX, e.canvasY);\n            this.selected_group_resizing = false;\n            if (this.selected_group && !this.read_only) {\n              if (e.ctrlKey) {\n                this.dragging_rectangle = null;\n              }\n              var dist = distance([e.canvasX, e.canvasY], [this.selected_group.pos[0] + this.selected_group.size[0], this.selected_group.pos[1] + this.selected_group.size[1]]);\n              if (dist * this.ds.scale < 10) {\n                this.selected_group_resizing = true;\n              } else {\n                this.selected_group.recomputeInsideNodes();\n              }\n            }\n            if (is_double_click && !this.read_only) {\n              if (this.allow_searchbox) {\n                this.showSearchBox(e);\n                e.preventDefault();\n                e.stopPropagation();\n              }\n              this.canvas.dispatchEvent(new CustomEvent(\n                \"litegraph:canvas\",\n                {\n                  bubbles: true,\n                  detail: {\n                    subType: \"empty-double-click\",\n                    originalEvent: e\n                  }\n                }\n              ));\n            }\n            clicking_canvas_bg = true;\n          }\n        }\n        if (!skip_action && clicking_canvas_bg && this.allow_dragcanvas) {\n          this.dragging_canvas = true;\n        }\n      } else if (e.which == 2) {\n        if (LiteGraph.middle_click_slot_add_default_node) {\n          if (node2 && this.allow_interaction && !skip_action && !this.read_only) {\n            if (!this.connecting_links && !node2.flags.collapsed && !this.live_mode) {\n              var mClikSlot = false;\n              var mClikSlot_index = false;\n              var mClikSlot_isOut = false;\n              if (node2.outputs) {\n                for (var i2 = 0, l = node2.outputs.length; i2 < l; ++i2) {\n                  var output = node2.outputs[i2];\n                  var link_pos = node2.getConnectionPos(false, i2);\n                  if (isInsideRectangle(e.canvasX, e.canvasY, link_pos[0] - 15, link_pos[1] - 10, 30, 20)) {\n                    mClikSlot = output;\n                    mClikSlot_index = i2;\n                    mClikSlot_isOut = true;\n                    break;\n                  }\n                }\n              }\n              if (node2.inputs) {\n                for (var i2 = 0, l = node2.inputs.length; i2 < l; ++i2) {\n                  var input = node2.inputs[i2];\n                  var link_pos = node2.getConnectionPos(true, i2);\n                  if (isInsideRectangle(e.canvasX, e.canvasY, link_pos[0] - 15, link_pos[1] - 10, 30, 20)) {\n                    mClikSlot = input;\n                    mClikSlot_index = i2;\n                    mClikSlot_isOut = false;\n                    break;\n                  }\n                }\n              }\n              if (mClikSlot && mClikSlot_index !== false) {\n                var alphaPosY = 0.5 - (mClikSlot_index + 1) / (mClikSlot_isOut ? node2.outputs.length : node2.inputs.length);\n                var node_bounding = node2.getBounding();\n                var posRef = [\n                  !mClikSlot_isOut ? node_bounding[0] : node_bounding[0] + node_bounding[2],\n                  e.canvasY - 80\n                  // + node_bounding[0]/this.canvas.width*66 // vertical \"derive\"\n                ];\n                this.createDefaultNodeForSlot({\n                  nodeFrom: !mClikSlot_isOut ? null : node2,\n                  slotFrom: !mClikSlot_isOut ? null : mClikSlot_index,\n                  nodeTo: !mClikSlot_isOut ? node2 : null,\n                  slotTo: !mClikSlot_isOut ? mClikSlot_index : null,\n                  position: posRef,\n                  nodeType: \"AUTO\",\n                  posAdd: [!mClikSlot_isOut ? -30 : 30, -alphaPosY * 130],\n                  posSizeFix: [!mClikSlot_isOut ? -1 : 0, 0]\n                  //-alphaPosY*2*/\n                });\n                skip_action = true;\n              }\n            }\n          }\n        }\n        if (!skip_action && this.allow_dragcanvas) {\n          this.dragging_canvas = true;\n        }\n      } else if (e.which == 3 || this.pointer_is_double) {\n        if (this.allow_interaction && !skip_action && !this.read_only) {\n          if (node2) {\n            if (Object.keys(this.selected_nodes).length && (this.selected_nodes[node2.id] || e.shiftKey || e.ctrlKey || e.metaKey)) {\n              if (!this.selected_nodes[node2.id]) this.selectNodes([node2], true);\n            } else {\n              this.selectNodes([node2]);\n            }\n          }\n          this.processContextMenu(node2, e);\n        }\n      }\n      this.last_mouse[0] = e.clientX;\n      this.last_mouse[1] = e.clientY;\n      this.last_mouseclick = LiteGraph.getTime();\n      this.last_mouse_dragging = true;\n      this.graph.change();\n      if (!ref_window2.document.activeElement || ref_window2.document.activeElement.nodeName.toLowerCase() != \"input\" && ref_window2.document.activeElement.nodeName.toLowerCase() != \"textarea\") {\n        e.preventDefault();\n      }\n      e.stopPropagation();\n      if (this.onMouseDown) {\n        this.onMouseDown(e);\n      }\n      return false;\n    }\n    /**\n         * Called when a mouse move event has to be processed\n         * @method processMouseMove\n         **/\n    processMouseMove(e) {\n      if (this.autoresize) {\n        this.resize();\n      }\n      if (this.set_canvas_dirty_on_mouse_event)\n        this.dirty_canvas = true;\n      if (!this.graph) {\n        return;\n      }\n      _LGraphCanvas.active_canvas = this;\n      this.adjustMouseEvent(e);\n      var mouse = [e.clientX, e.clientY];\n      this.mouse[0] = mouse[0];\n      this.mouse[1] = mouse[1];\n      var delta2 = [\n        mouse[0] - this.last_mouse[0],\n        mouse[1] - this.last_mouse[1]\n      ];\n      this.last_mouse = mouse;\n      this.graph_mouse[0] = e.canvasX;\n      this.graph_mouse[1] = e.canvasY;\n      if (this.block_click) {\n        e.preventDefault();\n        return false;\n      }\n      e.dragging = this.last_mouse_dragging;\n      if (this.node_widget) {\n        this.processNodeWidgets(\n          this.node_widget[0],\n          this.graph_mouse,\n          e,\n          this.node_widget[1]\n        );\n        this.dirty_canvas = true;\n      }\n      var node2 = this.graph.getNodeOnPos(e.canvasX, e.canvasY, this.visible_nodes);\n      if (this.dragging_rectangle) {\n        this.dragging_rectangle[2] = e.canvasX - this.dragging_rectangle[0];\n        this.dragging_rectangle[3] = e.canvasY - this.dragging_rectangle[1];\n        this.dirty_canvas = true;\n      } else if (this.selected_group && !this.read_only) {\n        if (this.selected_group_resizing) {\n          this.selected_group.size = [\n            e.canvasX - this.selected_group.pos[0],\n            e.canvasY - this.selected_group.pos[1]\n          ];\n        } else {\n          var deltax = delta2[0] / this.ds.scale;\n          var deltay = delta2[1] / this.ds.scale;\n          this.selected_group.move(deltax, deltay, e.ctrlKey);\n          if (this.selected_group._nodes.length) {\n            this.dirty_canvas = true;\n          }\n        }\n        this.dirty_bgcanvas = true;\n      } else if (this.dragging_canvas) {\n        this.ds.offset[0] += delta2[0] / this.ds.scale;\n        this.ds.offset[1] += delta2[1] / this.ds.scale;\n        this.dirty_canvas = true;\n        this.dirty_bgcanvas = true;\n      } else if ((this.allow_interaction || node2 && node2.flags.allow_interaction) && !this.read_only) {\n        if (this.connecting_links) {\n          this.dirty_canvas = true;\n        }\n        for (var i2 = 0, l = this.graph._nodes.length; i2 < l; ++i2) {\n          if (this.graph._nodes[i2].mouseOver && node2 != this.graph._nodes[i2]) {\n            this.graph._nodes[i2].mouseOver = false;\n            if (this.node_over && this.node_over.onMouseLeave) {\n              this.node_over.onMouseLeave(e);\n            }\n            this.node_over = null;\n            this.dirty_canvas = true;\n          }\n        }\n        if (node2) {\n          if (node2.redraw_on_mouse)\n            this.dirty_canvas = true;\n          if (!node2.mouseOver) {\n            node2.mouseOver = true;\n            this.node_over = node2;\n            this.dirty_canvas = true;\n            if (node2.onMouseEnter) {\n              node2.onMouseEnter(e);\n            }\n          }\n          if (node2.onMouseMove) {\n            node2.onMouseMove(e, [e.canvasX - node2.pos[0], e.canvasY - node2.pos[1]], this);\n          }\n          if (this.connecting_links) {\n            const firstLink = this.connecting_links[0];\n            if (firstLink.output) {\n              var pos2 = this._highlight_input || [0, 0];\n              if (this.isOverNodeBox(node2, e.canvasX, e.canvasY)) ;\n              else {\n                var slot = this.isOverNodeInput(node2, e.canvasX, e.canvasY, pos2);\n                if (slot != -1 && node2.inputs[slot] && LiteGraph.isValidConnection(firstLink.output.type, node2.inputs[slot].type)) {\n                  this._highlight_input = pos2;\n                  this._highlight_input_slot = node2.inputs[slot];\n                } else {\n                  this._highlight_input = null;\n                  this._highlight_input_slot = null;\n                }\n              }\n            } else if (firstLink.input) {\n              var pos2 = this._highlight_output || [0, 0];\n              if (this.isOverNodeBox(node2, e.canvasX, e.canvasY)) ;\n              else {\n                var slot = this.isOverNodeOutput(node2, e.canvasX, e.canvasY, pos2);\n                if (slot != -1 && node2.outputs[slot] && LiteGraph.isValidConnection(firstLink.input.type, node2.outputs[slot].type)) {\n                  this._highlight_output = pos2;\n                } else {\n                  this._highlight_output = null;\n                }\n              }\n            }\n          }\n          if (this.canvas) {\n            if (node2.inResizeCorner(e.canvasX, e.canvasY)) {\n              this.canvas.style.cursor = \"se-resize\";\n            } else {\n              this.canvas.style.cursor = \"crosshair\";\n            }\n          }\n        } else {\n          var over_link = null;\n          for (var i2 = 0; i2 < this.visible_links.length; ++i2) {\n            var link = this.visible_links[i2];\n            var center = link._pos;\n            if (!center || e.canvasX < center[0] - 4 || e.canvasX > center[0] + 4 || e.canvasY < center[1] - 4 || e.canvasY > center[1] + 4) {\n              continue;\n            }\n            over_link = link;\n            break;\n          }\n          if (over_link != this.over_link_center) {\n            this.over_link_center = over_link;\n            this.dirty_canvas = true;\n          }\n          if (this.canvas) {\n            this.canvas.style.cursor = \"\";\n          }\n        }\n        if (this.node_capturing_input && this.node_capturing_input != node2 && this.node_capturing_input.onMouseMove) {\n          this.node_capturing_input.onMouseMove(e, [e.canvasX - this.node_capturing_input.pos[0], e.canvasY - this.node_capturing_input.pos[1]], this);\n        }\n        if (this.node_dragged && !this.live_mode) {\n          for (var i2 in this.selected_nodes) {\n            var n = this.selected_nodes[i2];\n            n.pos[0] += delta2[0] / this.ds.scale;\n            n.pos[1] += delta2[1] / this.ds.scale;\n            if (!n.is_selected) this.processNodeSelected(n, e);\n          }\n          this.dirty_canvas = true;\n          this.dirty_bgcanvas = true;\n        }\n        if (this.resizing_node && !this.live_mode) {\n          var desired_size = [e.canvasX - this.resizing_node.pos[0], e.canvasY - this.resizing_node.pos[1]];\n          var min_size = this.resizing_node.computeSize();\n          desired_size[0] = Math.max(min_size[0], desired_size[0]);\n          desired_size[1] = Math.max(min_size[1], desired_size[1]);\n          this.resizing_node.setSize(desired_size);\n          this.canvas.style.cursor = \"se-resize\";\n          this.dirty_canvas = true;\n          this.dirty_bgcanvas = true;\n        }\n      }\n      e.preventDefault();\n      return false;\n    }\n    /**\n         * Called when a mouse up event has to be processed\n         * @method processMouseUp\n         **/\n    processMouseUp(e) {\n      var is_primary = e.isPrimary === void 0 || e.isPrimary;\n      if (!is_primary) {\n        return false;\n      }\n      if (!this.graph)\n        return;\n      var window2 = this.getCanvasWindow();\n      var document2 = window2.document;\n      _LGraphCanvas.active_canvas = this;\n      if (!this.options.skip_events) {\n        LiteGraph.pointerListenerRemove(document2, \"move\", this._mousemove_callback, true);\n        LiteGraph.pointerListenerAdd(this.canvas, \"move\", this._mousemove_callback, true);\n        LiteGraph.pointerListenerRemove(document2, \"up\", this._mouseup_callback, true);\n      }\n      this.adjustMouseEvent(e);\n      var now = LiteGraph.getTime();\n      e.click_time = now - this.last_mouseclick;\n      this.last_mouse_dragging = false;\n      this.last_click_position = null;\n      if (this.block_click) {\n        this.block_click = false;\n      }\n      if (e.which == 1) {\n        if (this.node_widget) {\n          this.processNodeWidgets(this.node_widget[0], this.graph_mouse, e);\n        }\n        this.node_widget = null;\n        if (this.selected_group) {\n          var diffx = this.selected_group.pos[0] - Math.round(this.selected_group.pos[0]);\n          var diffy = this.selected_group.pos[1] - Math.round(this.selected_group.pos[1]);\n          this.selected_group.move(diffx, diffy, e.ctrlKey);\n          this.selected_group.pos[0] = Math.round(\n            this.selected_group.pos[0]\n          );\n          this.selected_group.pos[1] = Math.round(\n            this.selected_group.pos[1]\n          );\n          if (this.selected_group._nodes.length) {\n            this.dirty_canvas = true;\n          }\n          this.selected_group = null;\n        }\n        this.selected_group_resizing = false;\n        var node2 = this.graph.getNodeOnPos(\n          e.canvasX,\n          e.canvasY,\n          this.visible_nodes\n        );\n        if (this.dragging_rectangle) {\n          if (this.graph) {\n            var nodes = this.graph._nodes;\n            var node_bounding = new Float32Array(4);\n            var w2 = Math.abs(this.dragging_rectangle[2]);\n            var h = Math.abs(this.dragging_rectangle[3]);\n            var startx = this.dragging_rectangle[2] < 0 ? this.dragging_rectangle[0] - w2 : this.dragging_rectangle[0];\n            var starty = this.dragging_rectangle[3] < 0 ? this.dragging_rectangle[1] - h : this.dragging_rectangle[1];\n            this.dragging_rectangle[0] = startx;\n            this.dragging_rectangle[1] = starty;\n            this.dragging_rectangle[2] = w2;\n            this.dragging_rectangle[3] = h;\n            if (!node2 || w2 > 10 && h > 10) {\n              var to_select = [];\n              for (var i2 = 0; i2 < nodes.length; ++i2) {\n                var nodeX = nodes[i2];\n                nodeX.getBounding(node_bounding);\n                if (!overlapBounding(\n                  this.dragging_rectangle,\n                  node_bounding\n                )) {\n                  continue;\n                }\n                to_select.push(nodeX);\n              }\n              if (to_select.length) {\n                this.selectNodes(to_select, e.shiftKey);\n              }\n            } else {\n              this.selectNodes([node2], e.shiftKey || e.ctrlKey);\n            }\n          }\n          this.dragging_rectangle = null;\n        } else if (this.connecting_links) {\n          if (node2) {\n            for (const link of this.connecting_links) {\n              this.dirty_canvas = true;\n              this.dirty_bgcanvas = true;\n              if (link.output) {\n                var slot = this.isOverNodeInput(\n                  node2,\n                  e.canvasX,\n                  e.canvasY\n                );\n                if (slot != -1) {\n                  link.node.connect(link.slot, node2, slot);\n                } else {\n                  link.node.connectByType(link.slot, node2, link.output.type);\n                }\n              } else if (link.input) {\n                var slot = this.isOverNodeOutput(\n                  node2,\n                  e.canvasX,\n                  e.canvasY\n                );\n                if (slot != -1) {\n                  node2.connect(slot, link.node, link.slot);\n                } else {\n                  link.node.connectByTypeOutput(link.slot, node2, link.input.type);\n                }\n              }\n            }\n          } else {\n            const firstLink = this.connecting_links[0];\n            const linkReleaseContext = firstLink.output ? {\n              node_from: firstLink.node,\n              slot_from: firstLink.output,\n              type_filter_in: firstLink.output.type\n            } : {\n              node_to: firstLink.node,\n              slot_from: firstLink.input,\n              type_filter_out: firstLink.input.type\n            };\n            const linkReleaseContextExtended = {\n              links: this.connecting_links\n            };\n            this.canvas.dispatchEvent(new CustomEvent(\n              \"litegraph:canvas\",\n              {\n                bubbles: true,\n                detail: {\n                  subType: \"empty-release\",\n                  originalEvent: e,\n                  linkReleaseContext: linkReleaseContextExtended\n                }\n              }\n            ));\n            if (LiteGraph.release_link_on_empty_shows_menu) {\n              if (e.shiftKey) {\n                if (this.allow_searchbox) {\n                  this.showSearchBox(e, linkReleaseContext);\n                }\n              } else {\n                if (firstLink.output) {\n                  this.showConnectionMenu({ nodeFrom: firstLink.node, slotFrom: firstLink.output, e });\n                } else if (firstLink.input) {\n                  this.showConnectionMenu({ nodeTo: firstLink.node, slotTo: firstLink.input, e });\n                }\n              }\n            }\n          }\n          this.connecting_links = null;\n        } else if (this.resizing_node) {\n          this.dirty_canvas = true;\n          this.dirty_bgcanvas = true;\n          this.graph.afterChange(this.resizing_node);\n          this.resizing_node = null;\n        } else if (this.node_dragged) {\n          var node2 = this.node_dragged;\n          if (node2 && e.click_time < 300 && isInsideRectangle(e.canvasX, e.canvasY, node2.pos[0], node2.pos[1] - LiteGraph.NODE_TITLE_HEIGHT, LiteGraph.NODE_TITLE_HEIGHT, LiteGraph.NODE_TITLE_HEIGHT)) {\n            node2.collapse();\n          }\n          this.dirty_canvas = true;\n          this.dirty_bgcanvas = true;\n          this.node_dragged.pos[0] = Math.round(this.node_dragged.pos[0]);\n          this.node_dragged.pos[1] = Math.round(this.node_dragged.pos[1]);\n          if (this.graph.config.align_to_grid || this.align_to_grid) {\n            this.node_dragged.alignToGrid();\n          }\n          if (this.onNodeMoved)\n            this.onNodeMoved(this.node_dragged);\n          this.graph.afterChange(this.node_dragged);\n          this.node_dragged = null;\n        } else {\n          var node2 = this.graph.getNodeOnPos(\n            e.canvasX,\n            e.canvasY,\n            this.visible_nodes\n          );\n          if (!node2 && e.click_time < 300) {\n            this.deselectAllNodes();\n          }\n          this.dirty_canvas = true;\n          this.dragging_canvas = false;\n          if (this.node_over && this.node_over.onMouseUp) {\n            this.node_over.onMouseUp(e, [e.canvasX - this.node_over.pos[0], e.canvasY - this.node_over.pos[1]], this);\n          }\n          if (this.node_capturing_input && this.node_capturing_input.onMouseUp) {\n            this.node_capturing_input.onMouseUp(e, [\n              e.canvasX - this.node_capturing_input.pos[0],\n              e.canvasY - this.node_capturing_input.pos[1]\n            ]);\n          }\n        }\n      } else if (e.which == 2) {\n        this.dirty_canvas = true;\n        this.dragging_canvas = false;\n      } else if (e.which == 3) {\n        this.dirty_canvas = true;\n        this.dragging_canvas = false;\n      }\n      if (is_primary) {\n        this.pointer_is_down = false;\n        this.pointer_is_double = false;\n      }\n      this.graph.change();\n      e.stopPropagation();\n      e.preventDefault();\n      return false;\n    }\n    /**\n         * Called when a mouse wheel event has to be processed\n         * @method processMouseWheel\n         **/\n    processMouseWheel(e) {\n      if (!this.graph || !this.allow_dragcanvas) {\n        return;\n      }\n      var delta2 = e.wheelDeltaY != null ? e.wheelDeltaY : e.detail * -60;\n      this.adjustMouseEvent(e);\n      var x2 = e.clientX;\n      var y2 = e.clientY;\n      var is_inside = !this.viewport || this.viewport && x2 >= this.viewport[0] && x2 < this.viewport[0] + this.viewport[2] && y2 >= this.viewport[1] && y2 < this.viewport[1] + this.viewport[3];\n      if (!is_inside)\n        return;\n      var scale = this.ds.scale;\n      if (delta2 > 0) {\n        scale *= this.zoom_speed;\n      } else if (delta2 < 0) {\n        scale *= 1 / this.zoom_speed;\n      }\n      this.ds.changeScale(scale, [e.clientX, e.clientY]);\n      this.graph.change();\n      e.preventDefault();\n      return false;\n    }\n    /**\n         * returns true if a position (in graph space) is on top of a node little corner box\n         * @method isOverNodeBox\n         **/\n    isOverNodeBox(node2, canvasx, canvasy) {\n      var title_height = LiteGraph.NODE_TITLE_HEIGHT;\n      if (isInsideRectangle(\n        canvasx,\n        canvasy,\n        node2.pos[0] + 2,\n        node2.pos[1] + 2 - title_height,\n        title_height - 4,\n        title_height - 4\n      )) {\n        return true;\n      }\n      return false;\n    }\n    /**\n         * returns the INDEX if a position (in graph space) is on top of a node input slot\n         * @method isOverNodeInput\n         **/\n    isOverNodeInput(node2, canvasx, canvasy, slot_pos) {\n      var _a, _b;\n      if (node2.inputs) {\n        for (var i2 = 0, l = node2.inputs.length; i2 < l; ++i2) {\n          var input = node2.inputs[i2];\n          var link_pos = node2.getConnectionPos(true, i2);\n          var is_inside = false;\n          if (node2.horizontal) {\n            is_inside = isInsideRectangle(\n              canvasx,\n              canvasy,\n              link_pos[0] - 5,\n              link_pos[1] - 10,\n              10,\n              20\n            );\n          } else {\n            const width2 = 20 + ((((_a = input.label) == null ? void 0 : _a.length) ?? ((_b = input.name) == null ? void 0 : _b.length)) || 3) * 7;\n            is_inside = isInsideRectangle(\n              canvasx,\n              canvasy,\n              link_pos[0] - 10,\n              link_pos[1] - 10,\n              width2,\n              20\n            );\n          }\n          if (is_inside) {\n            if (slot_pos) {\n              slot_pos[0] = link_pos[0];\n              slot_pos[1] = link_pos[1];\n            }\n            return i2;\n          }\n        }\n      }\n      return -1;\n    }\n    /**\n         * returns the INDEX if a position (in graph space) is on top of a node output slot\n         * @method isOverNodeOuput\n         **/\n    isOverNodeOutput(node2, canvasx, canvasy, slot_pos) {\n      if (node2.outputs) {\n        for (var i2 = 0, l = node2.outputs.length; i2 < l; ++i2) {\n          node2.outputs[i2];\n          var link_pos = node2.getConnectionPos(false, i2);\n          var is_inside = false;\n          if (node2.horizontal) {\n            is_inside = isInsideRectangle(\n              canvasx,\n              canvasy,\n              link_pos[0] - 5,\n              link_pos[1] - 10,\n              10,\n              20\n            );\n          } else {\n            is_inside = isInsideRectangle(\n              canvasx,\n              canvasy,\n              link_pos[0] - 10,\n              link_pos[1] - 10,\n              40,\n              20\n            );\n          }\n          if (is_inside) {\n            if (slot_pos) {\n              slot_pos[0] = link_pos[0];\n              slot_pos[1] = link_pos[1];\n            }\n            return i2;\n          }\n        }\n      }\n      return -1;\n    }\n    /**\n         * process a key event\n         * @method processKey\n         **/\n    processKey(e) {\n      if (!this.graph) {\n        return;\n      }\n      var block_default = false;\n      if (e.target.localName == \"input\") {\n        return;\n      }\n      if (e.type == \"keydown\") {\n        if (e.keyCode == 32) {\n          this.dragging_canvas = true;\n          block_default = true;\n        }\n        if (e.keyCode == 27) {\n          if (this.node_panel) this.node_panel.close();\n          if (this.options_panel) this.options_panel.close();\n          block_default = true;\n        }\n        if (e.keyCode == 65 && e.ctrlKey) {\n          this.selectNodes();\n          block_default = true;\n        }\n        if (e.keyCode === 67 && (e.metaKey || e.ctrlKey) && !e.shiftKey) {\n          if (this.selected_nodes) {\n            this.copyToClipboard();\n            block_default = true;\n          }\n        }\n        if (e.keyCode === 86 && (e.metaKey || e.ctrlKey)) {\n          this.pasteFromClipboard(e.shiftKey);\n        }\n        if (e.keyCode == 46 || e.keyCode == 8) {\n          if (e.target.localName != \"input\" && e.target.localName != \"textarea\") {\n            this.deleteSelectedNodes();\n            block_default = true;\n          }\n        }\n        if (this.selected_nodes) {\n          for (var i2 in this.selected_nodes) {\n            if (this.selected_nodes[i2].onKeyDown) {\n              this.selected_nodes[i2].onKeyDown(e);\n            }\n          }\n        }\n      } else if (e.type == \"keyup\") {\n        if (e.keyCode == 32) {\n          this.dragging_canvas = false;\n        }\n        if (this.selected_nodes) {\n          for (var i2 in this.selected_nodes) {\n            if (this.selected_nodes[i2].onKeyUp) {\n              this.selected_nodes[i2].onKeyUp(e);\n            }\n          }\n        }\n      }\n      this.graph.change();\n      if (block_default) {\n        e.preventDefault();\n        e.stopImmediatePropagation();\n        return false;\n      }\n    }\n    copyToClipboard(nodes) {\n      var clipboard_info = {\n        nodes: [],\n        links: []\n      };\n      var index2 = 0;\n      var selected_nodes_array = [];\n      if (!nodes) nodes = this.selected_nodes;\n      for (var i2 in nodes) {\n        var node2 = nodes[i2];\n        if (node2.clonable === false)\n          continue;\n        node2._relative_id = index2;\n        selected_nodes_array.push(node2);\n        index2 += 1;\n      }\n      for (var i2 = 0; i2 < selected_nodes_array.length; ++i2) {\n        var node2 = selected_nodes_array[i2];\n        var cloned = node2.clone();\n        if (!cloned) {\n          console.warn(\"node type not found: \" + node2.type);\n          continue;\n        }\n        clipboard_info.nodes.push(cloned.serialize());\n        if (node2.inputs && node2.inputs.length) {\n          for (var j = 0; j < node2.inputs.length; ++j) {\n            var input = node2.inputs[j];\n            if (!input || input.link == null) {\n              continue;\n            }\n            var link_info = this.graph.links[input.link];\n            if (!link_info) {\n              continue;\n            }\n            var target_node = this.graph.getNodeById(\n              link_info.origin_id\n            );\n            if (!target_node) {\n              continue;\n            }\n            clipboard_info.links.push([\n              target_node._relative_id,\n              link_info.origin_slot,\n              //j,\n              node2._relative_id,\n              link_info.target_slot,\n              target_node.id\n            ]);\n          }\n        }\n      }\n      localStorage.setItem(\n        \"litegrapheditor_clipboard\",\n        JSON.stringify(clipboard_info)\n      );\n    }\n    pasteFromClipboard(isConnectUnselected = false) {\n      if (!LiteGraph.ctrl_shift_v_paste_connect_unselected_outputs && isConnectUnselected) {\n        return;\n      }\n      var data = localStorage.getItem(\"litegrapheditor_clipboard\");\n      if (!data) {\n        return;\n      }\n      this.graph.beforeChange();\n      var clipboard_info = JSON.parse(data);\n      var posMin = false;\n      var posMinIndexes = false;\n      for (var i2 = 0; i2 < clipboard_info.nodes.length; ++i2) {\n        if (posMin) {\n          if (posMin[0] > clipboard_info.nodes[i2].pos[0]) {\n            posMin[0] = clipboard_info.nodes[i2].pos[0];\n            posMinIndexes[0] = i2;\n          }\n          if (posMin[1] > clipboard_info.nodes[i2].pos[1]) {\n            posMin[1] = clipboard_info.nodes[i2].pos[1];\n            posMinIndexes[1] = i2;\n          }\n        } else {\n          posMin = [clipboard_info.nodes[i2].pos[0], clipboard_info.nodes[i2].pos[1]];\n          posMinIndexes = [i2, i2];\n        }\n      }\n      var nodes = [];\n      for (var i2 = 0; i2 < clipboard_info.nodes.length; ++i2) {\n        var node_data = clipboard_info.nodes[i2];\n        var node2 = LiteGraph.createNode(node_data.type);\n        if (node2) {\n          node2.configure(node_data);\n          node2.pos[0] += this.graph_mouse[0] - posMin[0];\n          node2.pos[1] += this.graph_mouse[1] - posMin[1];\n          this.graph.add(node2, { doProcessChange: false });\n          nodes.push(node2);\n        }\n      }\n      for (var i2 = 0; i2 < clipboard_info.links.length; ++i2) {\n        var link_info = clipboard_info.links[i2];\n        var origin_node = void 0;\n        var origin_node_relative_id = link_info[0];\n        if (origin_node_relative_id != null) {\n          origin_node = nodes[origin_node_relative_id];\n        } else if (LiteGraph.ctrl_shift_v_paste_connect_unselected_outputs && isConnectUnselected) {\n          var origin_node_id = link_info[4];\n          if (origin_node_id) {\n            origin_node = this.graph.getNodeById(origin_node_id);\n          }\n        }\n        var target_node = nodes[link_info[2]];\n        if (origin_node && target_node)\n          origin_node.connect(link_info[1], target_node, link_info[3]);\n        else\n          console.warn(\"Warning, nodes missing on pasting\");\n      }\n      this.selectNodes(nodes);\n      this.graph.afterChange();\n    }\n    /**\n         * process a item drop event on top the canvas\n         * @method processDrop\n         **/\n    processDrop(e) {\n      e.preventDefault();\n      this.adjustMouseEvent(e);\n      var x2 = e.clientX;\n      var y2 = e.clientY;\n      var is_inside = !this.viewport || this.viewport && x2 >= this.viewport[0] && x2 < this.viewport[0] + this.viewport[2] && y2 >= this.viewport[1] && y2 < this.viewport[1] + this.viewport[3];\n      if (!is_inside) {\n        return;\n      }\n      var pos2 = [e.canvasX, e.canvasY];\n      var node2 = this.graph ? this.graph.getNodeOnPos(pos2[0], pos2[1]) : null;\n      if (!node2) {\n        var r = null;\n        if (this.onDropItem) {\n          r = this.onDropItem(event);\n        }\n        if (!r) {\n          this.checkDropItem(e);\n        }\n        return;\n      }\n      if (node2.onDropFile || node2.onDropData) {\n        var files = e.dataTransfer.files;\n        if (files && files.length) {\n          for (var i2 = 0; i2 < files.length; i2++) {\n            var file = e.dataTransfer.files[0];\n            var filename = file.name;\n            _LGraphCanvas.getFileExtension(filename);\n            if (node2.onDropFile) {\n              node2.onDropFile(file);\n            }\n            if (node2.onDropData) {\n              var reader = new FileReader();\n              reader.onload = function(event2) {\n                var data = event2.target.result;\n                node2.onDropData(data, filename, file);\n              };\n              var type = file.type.split(\"/\")[0];\n              if (type == \"text\" || type == \"\") {\n                reader.readAsText(file);\n              } else if (type == \"image\") {\n                reader.readAsDataURL(file);\n              } else {\n                reader.readAsArrayBuffer(file);\n              }\n            }\n          }\n        }\n      }\n      if (node2.onDropItem) {\n        if (node2.onDropItem(event)) {\n          return true;\n        }\n      }\n      if (this.onDropItem) {\n        return this.onDropItem(event);\n      }\n      return false;\n    }\n    //called if the graph doesn't have a default drop item behaviour\n    checkDropItem(e) {\n      if (e.dataTransfer.files.length) {\n        var file = e.dataTransfer.files[0];\n        var ext = _LGraphCanvas.getFileExtension(file.name).toLowerCase();\n        var nodetype = LiteGraph.node_types_by_file_extension[ext];\n        if (nodetype) {\n          this.graph.beforeChange();\n          var node2 = LiteGraph.createNode(nodetype.type);\n          node2.pos = [e.canvasX, e.canvasY];\n          this.graph.add(node2);\n          if (node2.onDropFile) {\n            node2.onDropFile(file);\n          }\n          this.graph.afterChange();\n        }\n      }\n    }\n    processNodeDblClicked(n) {\n      if (this.onShowNodePanel) {\n        this.onShowNodePanel(n);\n      }\n      if (this.onNodeDblClicked) {\n        this.onNodeDblClicked(n);\n      }\n      this.setDirty(true);\n    }\n    processNodeSelected(node2, e) {\n      this.selectNode(node2, e && (e.shiftKey || e.ctrlKey || this.multi_select));\n      if (this.onNodeSelected) {\n        this.onNodeSelected(node2);\n      }\n    }\n    /**\n         * selects a given node (or adds it to the current selection)\n         * @method selectNode\n         **/\n    selectNode(node2, add_to_current_selection) {\n      if (node2 == null) {\n        this.deselectAllNodes();\n      } else {\n        this.selectNodes([node2], add_to_current_selection);\n      }\n    }\n    /**\n         * selects several nodes (or adds them to the current selection)\n         * @method selectNodes\n         **/\n    selectNodes(nodes, add_to_current_selection) {\n      if (!add_to_current_selection) {\n        this.deselectAllNodes();\n      }\n      nodes = nodes || this.graph._nodes;\n      if (typeof nodes == \"string\") nodes = [nodes];\n      for (var i2 in nodes) {\n        var node2 = nodes[i2];\n        if (node2.is_selected) {\n          this.deselectNode(node2);\n          continue;\n        }\n        if (!node2.is_selected && node2.onSelected) {\n          node2.onSelected();\n        }\n        node2.is_selected = true;\n        this.selected_nodes[node2.id] = node2;\n        if (node2.inputs) {\n          for (var j = 0; j < node2.inputs.length; ++j) {\n            this.highlighted_links[node2.inputs[j].link] = true;\n          }\n        }\n        if (node2.outputs) {\n          for (var j = 0; j < node2.outputs.length; ++j) {\n            var out = node2.outputs[j];\n            if (out.links) {\n              for (var k = 0; k < out.links.length; ++k) {\n                this.highlighted_links[out.links[k]] = true;\n              }\n            }\n          }\n        }\n      }\n      if (this.onSelectionChange)\n        this.onSelectionChange(this.selected_nodes);\n      this.setDirty(true);\n    }\n    /**\n         * removes a node from the current selection\n         * @method deselectNode\n         **/\n    deselectNode(node2) {\n      if (!node2.is_selected) {\n        return;\n      }\n      if (node2.onDeselected) {\n        node2.onDeselected();\n      }\n      node2.is_selected = false;\n      delete this.selected_nodes[node2.id];\n      if (this.onNodeDeselected) {\n        this.onNodeDeselected(node2);\n      }\n      if (node2.inputs) {\n        for (var i2 = 0; i2 < node2.inputs.length; ++i2) {\n          delete this.highlighted_links[node2.inputs[i2].link];\n        }\n      }\n      if (node2.outputs) {\n        for (var i2 = 0; i2 < node2.outputs.length; ++i2) {\n          var out = node2.outputs[i2];\n          if (out.links) {\n            for (var j = 0; j < out.links.length; ++j) {\n              delete this.highlighted_links[out.links[j]];\n            }\n          }\n        }\n      }\n    }\n    /**\n         * removes all nodes from the current selection\n         * @method deselectAllNodes\n         **/\n    deselectAllNodes() {\n      if (!this.graph) {\n        return;\n      }\n      var nodes = this.graph._nodes;\n      for (var i2 = 0, l = nodes.length; i2 < l; ++i2) {\n        var node2 = nodes[i2];\n        if (!node2.is_selected) {\n          continue;\n        }\n        if (node2.onDeselected) {\n          node2.onDeselected();\n        }\n        node2.is_selected = false;\n        if (this.onNodeDeselected) {\n          this.onNodeDeselected(node2);\n        }\n      }\n      this.selected_nodes = {};\n      this.current_node = null;\n      this.highlighted_links = {};\n      if (this.onSelectionChange)\n        this.onSelectionChange(this.selected_nodes);\n      this.setDirty(true);\n    }\n    /**\n         * deletes all nodes in the current selection from the graph\n         * @method deleteSelectedNodes\n         **/\n    deleteSelectedNodes() {\n      this.graph.beforeChange();\n      for (var i2 in this.selected_nodes) {\n        var node2 = this.selected_nodes[i2];\n        if (node2.block_delete)\n          continue;\n        if (node2.inputs && node2.inputs.length && node2.outputs && node2.outputs.length && LiteGraph.isValidConnection(node2.inputs[0].type, node2.outputs[0].type) && node2.inputs[0].link && node2.outputs[0].links && node2.outputs[0].links.length) {\n          var input_link = node2.graph.links[node2.inputs[0].link];\n          var output_link = node2.graph.links[node2.outputs[0].links[0]];\n          var input_node = node2.getInputNode(0);\n          var output_node = node2.getOutputNodes(0)[0];\n          if (input_node && output_node)\n            input_node.connect(input_link.origin_slot, output_node, output_link.target_slot);\n        }\n        this.graph.remove(node2);\n        if (this.onNodeDeselected) {\n          this.onNodeDeselected(node2);\n        }\n      }\n      this.selected_nodes = {};\n      this.current_node = null;\n      this.highlighted_links = {};\n      this.setDirty(true);\n      this.graph.afterChange();\n    }\n    /**\n         * centers the camera on a given node\n         * @method centerOnNode\n         **/\n    centerOnNode(node2) {\n      const dpi = (window == null ? void 0 : window.devicePixelRatio) || 1;\n      this.ds.offset[0] = -node2.pos[0] - node2.size[0] * 0.5 + this.canvas.width * 0.5 / (this.ds.scale * dpi);\n      this.ds.offset[1] = -node2.pos[1] - node2.size[1] * 0.5 + this.canvas.height * 0.5 / (this.ds.scale * dpi);\n      this.setDirty(true, true);\n    }\n    /**\n         * adds some useful properties to a mouse event, like the position in graph coordinates\n         * @method adjustMouseEvent\n         **/\n    adjustMouseEvent(e) {\n      var clientX_rel = 0;\n      var clientY_rel = 0;\n      if (this.canvas) {\n        var b = this.canvas.getBoundingClientRect();\n        clientX_rel = e.clientX - b.left;\n        clientY_rel = e.clientY - b.top;\n      } else {\n        clientX_rel = e.clientX;\n        clientY_rel = e.clientY;\n      }\n      if (e.deltaX === void 0)\n        e.deltaX = clientX_rel - this.last_mouse_position[0];\n      if (e.deltaY === void 0)\n        e.deltaY = clientY_rel - this.last_mouse_position[1];\n      this.last_mouse_position[0] = clientX_rel;\n      this.last_mouse_position[1] = clientY_rel;\n      e.canvasX = clientX_rel / this.ds.scale - this.ds.offset[0];\n      e.canvasY = clientY_rel / this.ds.scale - this.ds.offset[1];\n    }\n    /**\n         * changes the zoom level of the graph (default is 1), you can pass also a place used to pivot the zoom\n         * @method setZoom\n         **/\n    setZoom(value, zooming_center) {\n      this.ds.changeScale(value, zooming_center);\n      this.dirty_canvas = true;\n      this.dirty_bgcanvas = true;\n    }\n    /**\n         * converts a coordinate from graph coordinates to canvas2D coordinates\n         * @method convertOffsetToCanvas\n         **/\n    convertOffsetToCanvas(pos2, out) {\n      return this.ds.convertOffsetToCanvas(pos2, out);\n    }\n    /**\n         * converts a coordinate from Canvas2D coordinates to graph space\n         * @method convertCanvasToOffset\n         **/\n    convertCanvasToOffset(pos2, out) {\n      return this.ds.convertCanvasToOffset(pos2, out);\n    }\n    //converts event coordinates from canvas2D to graph coordinates\n    convertEventToCanvasOffset(e) {\n      var rect = this.canvas.getBoundingClientRect();\n      return this.convertCanvasToOffset([\n        e.clientX - rect.left,\n        e.clientY - rect.top\n      ]);\n    }\n    /**\n         * brings a node to front (above all other nodes)\n         * @method bringToFront\n         **/\n    bringToFront(node2) {\n      var i2 = this.graph._nodes.indexOf(node2);\n      if (i2 == -1) {\n        return;\n      }\n      this.graph._nodes.splice(i2, 1);\n      this.graph._nodes.push(node2);\n    }\n    /**\n         * sends a node to the back (below all other nodes)\n         * @method sendToBack\n         **/\n    sendToBack(node2) {\n      var i2 = this.graph._nodes.indexOf(node2);\n      if (i2 == -1) {\n        return;\n      }\n      this.graph._nodes.splice(i2, 1);\n      this.graph._nodes.unshift(node2);\n    }\n    /* LGraphCanvas render */\n    /**\n     * checks which nodes are visible (inside the camera area)\n     * @method computeVisibleNodes\n     **/\n    computeVisibleNodes(nodes, out) {\n      var visible_nodes = out || [];\n      visible_nodes.length = 0;\n      nodes = nodes || this.graph._nodes;\n      for (var i2 = 0, l = nodes.length; i2 < l; ++i2) {\n        var n = nodes[i2];\n        if (this.live_mode && !n.onDrawBackground && !n.onDrawForeground) {\n          continue;\n        }\n        if (!overlapBounding(this.visible_area, n.getBounding(__privateGet(_LGraphCanvas, _temp), true))) {\n          continue;\n        }\n        visible_nodes.push(n);\n      }\n      return visible_nodes;\n    }\n    /**\n         * renders the whole canvas content, by rendering in two separated canvas, one containing the background grid and the connections, and one containing the nodes)\n         * @method draw\n         **/\n    draw(force_canvas, force_bgcanvas) {\n      if (!this.canvas || this.canvas.width == 0 || this.canvas.height == 0) {\n        return;\n      }\n      var now = LiteGraph.getTime();\n      this.render_time = (now - this.last_draw_time) * 1e-3;\n      this.last_draw_time = now;\n      if (this.graph) {\n        this.ds.computeVisibleArea(this.viewport);\n      }\n      if (this.dirty_bgcanvas || force_bgcanvas || this.always_render_background || this.graph && this.graph._last_trigger_time && now - this.graph._last_trigger_time < 1e3) {\n        this.drawBackCanvas();\n      }\n      if (this.dirty_canvas || force_canvas) {\n        this.drawFrontCanvas();\n      }\n      this.fps = this.render_time ? 1 / this.render_time : 0;\n      this.frame += 1;\n    }\n    /**\n         * draws the front canvas (the one containing all the nodes)\n         * @method drawFrontCanvas\n         **/\n    drawFrontCanvas() {\n      this.dirty_canvas = false;\n      if (!this.ctx) {\n        this.ctx = this.bgcanvas.getContext(\"2d\");\n      }\n      var ctx = this.ctx;\n      if (!ctx) {\n        return;\n      }\n      var canvas = this.canvas;\n      if (ctx.start2D && !this.viewport) {\n        ctx.start2D();\n        ctx.restore();\n        ctx.setTransform(1, 0, 0, 1, 0, 0);\n      }\n      var area = this.viewport || this.dirty_area;\n      if (area) {\n        ctx.save();\n        ctx.beginPath();\n        ctx.rect(area[0], area[1], area[2], area[3]);\n        ctx.clip();\n      }\n      if (this.clear_background) {\n        if (area)\n          ctx.clearRect(area[0], area[1], area[2], area[3]);\n        else\n          ctx.clearRect(0, 0, canvas.width, canvas.height);\n      }\n      if (this.bgcanvas == this.canvas) {\n        this.drawBackCanvas();\n      } else {\n        ctx.drawImage(this.bgcanvas, 0, 0);\n      }\n      if (this.onRender) {\n        this.onRender(canvas, ctx);\n      }\n      if (this.show_info) {\n        this.renderInfo(ctx, area ? area[0] : 0, area ? area[1] : 0);\n      }\n      if (this.graph) {\n        ctx.save();\n        this.ds.toCanvasContext(ctx);\n        var visible_nodes = this.computeVisibleNodes(\n          null,\n          this.visible_nodes\n        );\n        for (var i2 = 0; i2 < visible_nodes.length; ++i2) {\n          var node2 = visible_nodes[i2];\n          ctx.save();\n          ctx.translate(node2.pos[0], node2.pos[1]);\n          this.drawNode(node2, ctx);\n          ctx.restore();\n        }\n        if (this.render_execution_order) {\n          this.drawExecutionOrder(ctx);\n        }\n        if (this.graph.config.links_ontop) {\n          if (!this.live_mode) {\n            this.drawConnections(ctx);\n          }\n        }\n        if (this.connecting_links) {\n          for (const link of this.connecting_links) {\n            ctx.lineWidth = this.connections_width;\n            var link_color = null;\n            var connInOrOut = link.output || link.input;\n            var connType = connInOrOut.type;\n            var connDir = connInOrOut.dir;\n            if (connDir == null) {\n              if (link.output)\n                connDir = link.node.horizontal ? LiteGraph.DOWN : LiteGraph.RIGHT;\n              else\n                connDir = link.node.horizontal ? LiteGraph.UP : LiteGraph.LEFT;\n            }\n            var connShape = connInOrOut.shape;\n            switch (connType) {\n              case LiteGraph.EVENT:\n                link_color = LiteGraph.EVENT_LINK_COLOR;\n                break;\n              default:\n                link_color = LiteGraph.CONNECTING_LINK_COLOR;\n            }\n            this.renderLink(\n              ctx,\n              link.pos,\n              [this.graph_mouse[0], this.graph_mouse[1]],\n              null,\n              false,\n              null,\n              link_color,\n              connDir,\n              LiteGraph.CENTER\n            );\n            ctx.beginPath();\n            if (connType === LiteGraph.EVENT || connShape === LiteGraph.BOX_SHAPE) {\n              ctx.rect(\n                link.pos[0] - 6 + 0.5,\n                link.pos[1] - 5 + 0.5,\n                14,\n                10\n              );\n              ctx.fill();\n              ctx.beginPath();\n              ctx.rect(\n                this.graph_mouse[0] - 6 + 0.5,\n                this.graph_mouse[1] - 5 + 0.5,\n                14,\n                10\n              );\n            } else if (connShape === LiteGraph.ARROW_SHAPE) {\n              ctx.moveTo(link.pos[0] + 8, link.pos[1] + 0.5);\n              ctx.lineTo(link.pos[0] - 4, link.pos[1] + 6 + 0.5);\n              ctx.lineTo(link.pos[0] - 4, link.pos[1] - 6 + 0.5);\n              ctx.closePath();\n            } else {\n              ctx.arc(\n                link.pos[0],\n                link.pos[1],\n                4,\n                0,\n                Math.PI * 2\n              );\n              ctx.fill();\n              ctx.beginPath();\n              ctx.arc(\n                this.graph_mouse[0],\n                this.graph_mouse[1],\n                4,\n                0,\n                Math.PI * 2\n              );\n            }\n            ctx.fill();\n            ctx.fillStyle = \"#ffcc00\";\n            if (this._highlight_input) {\n              ctx.beginPath();\n              var shape = this._highlight_input_slot.shape;\n              if (shape === LiteGraph.ARROW_SHAPE) {\n                ctx.moveTo(this._highlight_input[0] + 8, this._highlight_input[1] + 0.5);\n                ctx.lineTo(this._highlight_input[0] - 4, this._highlight_input[1] + 6 + 0.5);\n                ctx.lineTo(this._highlight_input[0] - 4, this._highlight_input[1] - 6 + 0.5);\n                ctx.closePath();\n              } else {\n                ctx.arc(\n                  this._highlight_input[0],\n                  this._highlight_input[1],\n                  6,\n                  0,\n                  Math.PI * 2\n                );\n              }\n              ctx.fill();\n            }\n            if (this._highlight_output) {\n              ctx.beginPath();\n              if (shape === LiteGraph.ARROW_SHAPE) {\n                ctx.moveTo(this._highlight_output[0] + 8, this._highlight_output[1] + 0.5);\n                ctx.lineTo(this._highlight_output[0] - 4, this._highlight_output[1] + 6 + 0.5);\n                ctx.lineTo(this._highlight_output[0] - 4, this._highlight_output[1] - 6 + 0.5);\n                ctx.closePath();\n              } else {\n                ctx.arc(\n                  this._highlight_output[0],\n                  this._highlight_output[1],\n                  6,\n                  0,\n                  Math.PI * 2\n                );\n              }\n              ctx.fill();\n            }\n          }\n        }\n        if (this.dragging_rectangle) {\n          ctx.strokeStyle = \"#FFF\";\n          ctx.strokeRect(\n            this.dragging_rectangle[0],\n            this.dragging_rectangle[1],\n            this.dragging_rectangle[2],\n            this.dragging_rectangle[3]\n          );\n        }\n        if (this.over_link_center && this.render_link_tooltip)\n          this.drawLinkTooltip(ctx, this.over_link_center);\n        else if (this.onDrawLinkTooltip)\n          this.onDrawLinkTooltip(ctx, null);\n        if (this.onDrawForeground) {\n          this.onDrawForeground(ctx, this.visible_rect);\n        }\n        ctx.restore();\n      }\n      if (this._graph_stack && this._graph_stack.length) {\n        this.drawSubgraphPanel(ctx);\n      }\n      if (this.onDrawOverlay) {\n        this.onDrawOverlay(ctx);\n      }\n      if (area) {\n        ctx.restore();\n      }\n      if (ctx.finish2D) {\n        ctx.finish2D();\n      }\n    }\n    /**\n         * draws the panel in the corner that shows subgraph properties\n         * @method drawSubgraphPanel\n         **/\n    drawSubgraphPanel(ctx) {\n      var subgraph = this.graph;\n      var subnode = subgraph._subgraph_node;\n      if (!subnode) {\n        console.warn(\"subgraph without subnode\");\n        return;\n      }\n      this.drawSubgraphPanelLeft(subgraph, subnode, ctx);\n      this.drawSubgraphPanelRight(subgraph, subnode, ctx);\n    }\n    drawSubgraphPanelLeft(subgraph, subnode, ctx) {\n      var num = subnode.inputs ? subnode.inputs.length : 0;\n      var w2 = 200;\n      var h = Math.floor(LiteGraph.NODE_SLOT_HEIGHT * 1.6);\n      ctx.fillStyle = \"#111\";\n      ctx.globalAlpha = 0.8;\n      ctx.beginPath();\n      ctx.roundRect(10, 10, w2, (num + 1) * h + 50, [8]);\n      ctx.fill();\n      ctx.globalAlpha = 1;\n      ctx.fillStyle = \"#888\";\n      ctx.font = \"14px Arial\";\n      ctx.textAlign = \"left\";\n      ctx.fillText(\"Graph Inputs\", 20, 34);\n      if (this.drawButton(w2 - 20, 20, 20, 20, \"X\", \"#151515\")) {\n        this.closeSubgraph();\n        return;\n      }\n      var y2 = 50;\n      ctx.font = \"14px Arial\";\n      if (subnode.inputs)\n        for (var i2 = 0; i2 < subnode.inputs.length; ++i2) {\n          var input = subnode.inputs[i2];\n          if (input.not_subgraph_input)\n            continue;\n          if (this.drawButton(20, y2 + 2, w2 - 20, h - 2)) {\n            var type = subnode.constructor.input_node_type || \"graph/input\";\n            this.graph.beforeChange();\n            var newnode = LiteGraph.createNode(type);\n            if (newnode) {\n              subgraph.add(newnode);\n              this.block_click = false;\n              this.last_click_position = null;\n              this.selectNodes([newnode]);\n              this.node_dragged = newnode;\n              this.dragging_canvas = false;\n              newnode.setProperty(\"name\", input.name);\n              newnode.setProperty(\"type\", input.type);\n              this.node_dragged.pos[0] = this.graph_mouse[0] - 5;\n              this.node_dragged.pos[1] = this.graph_mouse[1] - 5;\n              this.graph.afterChange();\n            } else\n              console.error(\"graph input node not found:\", type);\n          }\n          ctx.fillStyle = \"#9C9\";\n          ctx.beginPath();\n          ctx.arc(w2 - 16, y2 + h * 0.5, 5, 0, 2 * Math.PI);\n          ctx.fill();\n          ctx.fillStyle = \"#AAA\";\n          ctx.fillText(input.name, 30, y2 + h * 0.75);\n          ctx.fillStyle = \"#777\";\n          ctx.fillText(input.type, 130, y2 + h * 0.75);\n          y2 += h;\n        }\n      if (this.drawButton(20, y2 + 2, w2 - 20, h - 2, \"+\", \"#151515\", \"#222\")) {\n        this.showSubgraphPropertiesDialog(subnode);\n      }\n    }\n    drawSubgraphPanelRight(subgraph, subnode, ctx) {\n      var num = subnode.outputs ? subnode.outputs.length : 0;\n      var canvas_w = this.bgcanvas.width;\n      var w2 = 200;\n      var h = Math.floor(LiteGraph.NODE_SLOT_HEIGHT * 1.6);\n      ctx.fillStyle = \"#111\";\n      ctx.globalAlpha = 0.8;\n      ctx.beginPath();\n      ctx.roundRect(canvas_w - w2 - 10, 10, w2, (num + 1) * h + 50, [8]);\n      ctx.fill();\n      ctx.globalAlpha = 1;\n      ctx.fillStyle = \"#888\";\n      ctx.font = \"14px Arial\";\n      ctx.textAlign = \"left\";\n      var title_text = \"Graph Outputs\";\n      var tw = ctx.measureText(title_text).width;\n      ctx.fillText(title_text, canvas_w - tw - 20, 34);\n      if (this.drawButton(canvas_w - w2, 20, 20, 20, \"X\", \"#151515\")) {\n        this.closeSubgraph();\n        return;\n      }\n      var y2 = 50;\n      ctx.font = \"14px Arial\";\n      if (subnode.outputs)\n        for (var i2 = 0; i2 < subnode.outputs.length; ++i2) {\n          var output = subnode.outputs[i2];\n          if (output.not_subgraph_input)\n            continue;\n          if (this.drawButton(canvas_w - w2, y2 + 2, w2 - 20, h - 2)) {\n            var type = subnode.constructor.output_node_type || \"graph/output\";\n            this.graph.beforeChange();\n            var newnode = LiteGraph.createNode(type);\n            if (newnode) {\n              subgraph.add(newnode);\n              this.block_click = false;\n              this.last_click_position = null;\n              this.selectNodes([newnode]);\n              this.node_dragged = newnode;\n              this.dragging_canvas = false;\n              newnode.setProperty(\"name\", output.name);\n              newnode.setProperty(\"type\", output.type);\n              this.node_dragged.pos[0] = this.graph_mouse[0] - 5;\n              this.node_dragged.pos[1] = this.graph_mouse[1] - 5;\n              this.graph.afterChange();\n            } else\n              console.error(\"graph input node not found:\", type);\n          }\n          ctx.fillStyle = \"#9C9\";\n          ctx.beginPath();\n          ctx.arc(canvas_w - w2 + 16, y2 + h * 0.5, 5, 0, 2 * Math.PI);\n          ctx.fill();\n          ctx.fillStyle = \"#AAA\";\n          ctx.fillText(output.name, canvas_w - w2 + 30, y2 + h * 0.75);\n          ctx.fillStyle = \"#777\";\n          ctx.fillText(output.type, canvas_w - w2 + 130, y2 + h * 0.75);\n          y2 += h;\n        }\n      if (this.drawButton(canvas_w - w2, y2 + 2, w2 - 20, h - 2, \"+\", \"#151515\", \"#222\")) {\n        this.showSubgraphPropertiesDialogRight(subnode);\n      }\n    }\n    //Draws a button into the canvas overlay and computes if it was clicked using the immediate gui paradigm\n    drawButton(x2, y2, w2, h, text, bgcolor, hovercolor, textcolor) {\n      var ctx = this.ctx;\n      bgcolor = bgcolor || LiteGraph.NODE_DEFAULT_COLOR;\n      hovercolor = hovercolor || \"#555\";\n      textcolor = textcolor || LiteGraph.NODE_TEXT_COLOR;\n      var pos2 = this.ds.convertOffsetToCanvas(this.graph_mouse);\n      var hover = LiteGraph.isInsideRectangle(pos2[0], pos2[1], x2, y2, w2, h);\n      pos2 = this.last_click_position ? [this.last_click_position[0], this.last_click_position[1]] : null;\n      if (pos2) {\n        var rect = this.canvas.getBoundingClientRect();\n        pos2[0] -= rect.left;\n        pos2[1] -= rect.top;\n      }\n      var clicked = pos2 && LiteGraph.isInsideRectangle(pos2[0], pos2[1], x2, y2, w2, h);\n      ctx.fillStyle = hover ? hovercolor : bgcolor;\n      if (clicked)\n        ctx.fillStyle = \"#AAA\";\n      ctx.beginPath();\n      ctx.roundRect(x2, y2, w2, h, [4]);\n      ctx.fill();\n      if (text != null) {\n        if (text.constructor == String) {\n          ctx.fillStyle = textcolor;\n          ctx.textAlign = \"center\";\n          ctx.font = (h * 0.65 | 0) + \"px Arial\";\n          ctx.fillText(text, x2 + w2 * 0.5, y2 + h * 0.75);\n          ctx.textAlign = \"left\";\n        }\n      }\n      var was_clicked = clicked && !this.block_click;\n      if (clicked)\n        this.blockClick();\n      return was_clicked;\n    }\n    isAreaClicked(x2, y2, w2, h, hold_click) {\n      var pos2 = this.mouse;\n      LiteGraph.isInsideRectangle(pos2[0], pos2[1], x2, y2, w2, h);\n      pos2 = this.last_click_position;\n      var clicked = pos2 && LiteGraph.isInsideRectangle(pos2[0], pos2[1], x2, y2, w2, h);\n      var was_clicked = clicked && !this.block_click;\n      if (clicked && hold_click)\n        this.blockClick();\n      return was_clicked;\n    }\n    /**\n         * draws some useful stats in the corner of the canvas\n         * @method renderInfo\n         **/\n    renderInfo(ctx, x2, y2) {\n      x2 = x2 || 10;\n      y2 = y2 || this.canvas.offsetHeight - 80;\n      ctx.save();\n      ctx.translate(x2, y2);\n      ctx.font = \"10px Arial\";\n      ctx.fillStyle = \"#888\";\n      ctx.textAlign = \"left\";\n      if (this.graph) {\n        ctx.fillText(\"T: \" + this.graph.globaltime.toFixed(2) + \"s\", 5, 13 * 1);\n        ctx.fillText(\"I: \" + this.graph.iteration, 5, 13 * 2);\n        ctx.fillText(\"N: \" + this.graph._nodes.length + \" [\" + this.visible_nodes.length + \"]\", 5, 13 * 3);\n        ctx.fillText(\"V: \" + this.graph._version, 5, 13 * 4);\n        ctx.fillText(\"FPS:\" + this.fps.toFixed(2), 5, 13 * 5);\n      } else {\n        ctx.fillText(\"No graph selected\", 5, 13 * 1);\n      }\n      ctx.restore();\n    }\n    /**\n         * draws the back canvas (the one containing the background and the connections)\n         * @method drawBackCanvas\n         **/\n    drawBackCanvas() {\n      var canvas = this.bgcanvas;\n      if (canvas.width != this.canvas.width || canvas.height != this.canvas.height) {\n        canvas.width = this.canvas.width;\n        canvas.height = this.canvas.height;\n      }\n      if (!this.bgctx) {\n        this.bgctx = this.bgcanvas.getContext(\"2d\");\n      }\n      var ctx = this.bgctx;\n      if (ctx.start) {\n        ctx.start();\n      }\n      var viewport = this.viewport || [0, 0, ctx.canvas.width, ctx.canvas.height];\n      if (this.clear_background) {\n        ctx.clearRect(viewport[0], viewport[1], viewport[2], viewport[3]);\n      }\n      if (this._graph_stack && this._graph_stack.length) {\n        ctx.save();\n        this._graph_stack[this._graph_stack.length - 1];\n        var subgraph_node = this.graph._subgraph_node;\n        ctx.strokeStyle = subgraph_node.bgcolor;\n        ctx.lineWidth = 10;\n        ctx.strokeRect(1, 1, canvas.width - 2, canvas.height - 2);\n        ctx.lineWidth = 1;\n        ctx.font = \"40px Arial\";\n        ctx.textAlign = \"center\";\n        ctx.fillStyle = subgraph_node.bgcolor || \"#AAA\";\n        var title = \"\";\n        for (var i2 = 1; i2 < this._graph_stack.length; ++i2) {\n          title += this._graph_stack[i2]._subgraph_node.getTitle() + \" >> \";\n        }\n        ctx.fillText(\n          title + subgraph_node.getTitle(),\n          canvas.width * 0.5,\n          40\n        );\n        ctx.restore();\n      }\n      var bg_already_painted = false;\n      if (this.onRenderBackground) {\n        bg_already_painted = this.onRenderBackground(canvas, ctx);\n      }\n      if (!this.viewport) {\n        ctx.restore();\n        ctx.setTransform(1, 0, 0, 1, 0, 0);\n      }\n      this.visible_links.length = 0;\n      if (this.graph) {\n        ctx.save();\n        this.ds.toCanvasContext(ctx);\n        if (this.ds.scale < 1.5 && !bg_already_painted && this.clear_background_color) {\n          ctx.fillStyle = this.clear_background_color;\n          ctx.fillRect(\n            this.visible_area[0],\n            this.visible_area[1],\n            this.visible_area[2],\n            this.visible_area[3]\n          );\n        }\n        if (this.background_image && this.ds.scale > 0.5 && !bg_already_painted) {\n          if (this.zoom_modify_alpha) {\n            ctx.globalAlpha = (1 - 0.5 / this.ds.scale) * this.editor_alpha;\n          } else {\n            ctx.globalAlpha = this.editor_alpha;\n          }\n          ctx.imageSmoothingEnabled = ctx.imageSmoothingEnabled = false;\n          if (!this._bg_img || this._bg_img.name != this.background_image) {\n            this._bg_img = new Image();\n            this._bg_img.name = this.background_image;\n            this._bg_img.src = this.background_image;\n            var that2 = this;\n            this._bg_img.onload = function() {\n              that2.draw(true, true);\n            };\n          }\n          var pattern = null;\n          if (this._pattern == null && this._bg_img.width > 0) {\n            pattern = ctx.createPattern(this._bg_img, \"repeat\");\n            this._pattern_img = this._bg_img;\n            this._pattern = pattern;\n          } else {\n            pattern = this._pattern;\n          }\n          if (pattern) {\n            ctx.fillStyle = pattern;\n            ctx.fillRect(\n              this.visible_area[0],\n              this.visible_area[1],\n              this.visible_area[2],\n              this.visible_area[3]\n            );\n            ctx.fillStyle = \"transparent\";\n          }\n          ctx.globalAlpha = 1;\n          ctx.imageSmoothingEnabled = ctx.imageSmoothingEnabled = true;\n        }\n        if (this.graph._groups.length && !this.live_mode) {\n          this.drawGroups(canvas, ctx);\n        }\n        if (this.onDrawBackground) {\n          this.onDrawBackground(ctx, this.visible_area);\n        }\n        if (this.onBackgroundRender) {\n          console.error(\n            \"WARNING! onBackgroundRender deprecated, now is named onDrawBackground \"\n          );\n          this.onBackgroundRender = null;\n        }\n        if (this.render_canvas_border) {\n          ctx.strokeStyle = \"#235\";\n          ctx.strokeRect(0, 0, canvas.width, canvas.height);\n        }\n        if (this.render_connections_shadows) {\n          ctx.shadowColor = \"#000\";\n          ctx.shadowOffsetX = 0;\n          ctx.shadowOffsetY = 0;\n          ctx.shadowBlur = 6;\n        } else {\n          ctx.shadowColor = \"rgba(0,0,0,0)\";\n        }\n        if (!this.live_mode) {\n          this.drawConnections(ctx);\n        }\n        ctx.shadowColor = \"rgba(0,0,0,0)\";\n        ctx.restore();\n      }\n      if (ctx.finish) {\n        ctx.finish();\n      }\n      this.dirty_bgcanvas = false;\n      this.dirty_canvas = true;\n    }\n    /**\n         * draws the given node inside the canvas\n         * @method drawNode\n         **/\n    drawNode(node2, ctx) {\n      this.current_node = node2;\n      var color = node2.color || node2.constructor.color || LiteGraph.NODE_DEFAULT_COLOR;\n      var bgcolor = node2.bgcolor || node2.constructor.bgcolor || LiteGraph.NODE_DEFAULT_BGCOLOR;\n      if (node2.mouseOver) ;\n      var low_quality = this.ds.scale < 0.6;\n      if (this.live_mode) {\n        if (!node2.flags.collapsed) {\n          ctx.shadowColor = \"transparent\";\n          if (node2.onDrawForeground) {\n            node2.onDrawForeground(ctx, this, this.canvas);\n          }\n        }\n        return;\n      }\n      var editor_alpha = this.editor_alpha;\n      ctx.globalAlpha = editor_alpha;\n      if (this.render_shadows && !low_quality) {\n        ctx.shadowColor = LiteGraph.DEFAULT_SHADOW_COLOR;\n        ctx.shadowOffsetX = 2 * this.ds.scale;\n        ctx.shadowOffsetY = 2 * this.ds.scale;\n        ctx.shadowBlur = 3 * this.ds.scale;\n      } else {\n        ctx.shadowColor = \"transparent\";\n      }\n      if (node2.flags.collapsed && node2.onDrawCollapsed && node2.onDrawCollapsed(ctx, this) == true) {\n        return;\n      }\n      var shape = node2._shape || LiteGraph.BOX_SHAPE;\n      var size = __privateGet(_LGraphCanvas, _temp_vec2);\n      __privateGet(_LGraphCanvas, _temp_vec2).set(node2.size);\n      var horizontal = node2.horizontal;\n      if (node2.flags.collapsed) {\n        ctx.font = this.inner_text_font;\n        var title = node2.getTitle ? node2.getTitle() : node2.title;\n        if (title != null) {\n          node2._collapsed_width = Math.min(\n            node2.size[0],\n            ctx.measureText(title).width + LiteGraph.NODE_TITLE_HEIGHT * 2\n          );\n          size[0] = node2._collapsed_width;\n          size[1] = 0;\n        }\n      }\n      if (node2.clip_area) {\n        ctx.save();\n        ctx.beginPath();\n        if (shape == LiteGraph.BOX_SHAPE) {\n          ctx.rect(0, 0, size[0], size[1]);\n        } else if (shape == LiteGraph.ROUND_SHAPE) {\n          ctx.roundRect(0, 0, size[0], size[1], [10]);\n        } else if (shape == LiteGraph.CIRCLE_SHAPE) {\n          ctx.arc(\n            size[0] * 0.5,\n            size[1] * 0.5,\n            size[0] * 0.5,\n            0,\n            Math.PI * 2\n          );\n        }\n        ctx.clip();\n      }\n      if (node2.has_errors) {\n        bgcolor = \"red\";\n      }\n      this.drawNodeShape(\n        node2,\n        ctx,\n        size,\n        color,\n        bgcolor,\n        node2.is_selected,\n        node2.mouseOver\n      );\n      ctx.shadowColor = \"transparent\";\n      if (node2.onDrawForeground) {\n        node2.onDrawForeground(ctx, this, this.canvas);\n      }\n      ctx.textAlign = horizontal ? \"center\" : \"left\";\n      ctx.font = this.inner_text_font;\n      var render_text = !low_quality;\n      var out_slot = this.connecting_links ? this.connecting_links[0].output : null;\n      var in_slot = this.connecting_links ? this.connecting_links[0].input : null;\n      ctx.lineWidth = 1;\n      var max_y = 0;\n      var slot_pos = new Float32Array(2);\n      if (!node2.flags.collapsed) {\n        if (node2.inputs) {\n          for (var i2 = 0; i2 < node2.inputs.length; i2++) {\n            var slot = node2.inputs[i2];\n            var slot_type = slot.type;\n            var slot_shape = slot.shape;\n            ctx.globalAlpha = editor_alpha;\n            if (out_slot && !LiteGraph.isValidConnection(slot.type, out_slot.type)) {\n              ctx.globalAlpha = 0.4 * editor_alpha;\n            }\n            ctx.fillStyle = slot.link != null ? slot.color_on || this.default_connection_color_byType[slot_type] || this.default_connection_color.input_on : slot.color_off || this.default_connection_color_byTypeOff[slot_type] || this.default_connection_color_byType[slot_type] || this.default_connection_color.input_off;\n            var pos2 = node2.getConnectionPos(true, i2, slot_pos);\n            pos2[0] -= node2.pos[0];\n            pos2[1] -= node2.pos[1];\n            if (max_y < pos2[1] + LiteGraph.NODE_SLOT_HEIGHT * 0.5) {\n              max_y = pos2[1] + LiteGraph.NODE_SLOT_HEIGHT * 0.5;\n            }\n            ctx.beginPath();\n            if (slot_type == \"array\") {\n              slot_shape = LiteGraph.GRID_SHAPE;\n            }\n            var doStroke = true;\n            if (slot.type === LiteGraph.EVENT || slot.shape === LiteGraph.BOX_SHAPE) {\n              if (horizontal) {\n                ctx.rect(\n                  pos2[0] - 5 + 0.5,\n                  pos2[1] - 8 + 0.5,\n                  10,\n                  14\n                );\n              } else {\n                ctx.rect(\n                  pos2[0] - 6 + 0.5,\n                  pos2[1] - 5 + 0.5,\n                  14,\n                  10\n                );\n              }\n            } else if (slot_shape === LiteGraph.ARROW_SHAPE) {\n              ctx.moveTo(pos2[0] + 8, pos2[1] + 0.5);\n              ctx.lineTo(pos2[0] - 4, pos2[1] + 6 + 0.5);\n              ctx.lineTo(pos2[0] - 4, pos2[1] - 6 + 0.5);\n              ctx.closePath();\n            } else if (slot_shape === LiteGraph.GRID_SHAPE) {\n              ctx.rect(pos2[0] - 4, pos2[1] - 4, 2, 2);\n              ctx.rect(pos2[0] - 1, pos2[1] - 4, 2, 2);\n              ctx.rect(pos2[0] + 2, pos2[1] - 4, 2, 2);\n              ctx.rect(pos2[0] - 4, pos2[1] - 1, 2, 2);\n              ctx.rect(pos2[0] - 1, pos2[1] - 1, 2, 2);\n              ctx.rect(pos2[0] + 2, pos2[1] - 1, 2, 2);\n              ctx.rect(pos2[0] - 4, pos2[1] + 2, 2, 2);\n              ctx.rect(pos2[0] - 1, pos2[1] + 2, 2, 2);\n              ctx.rect(pos2[0] + 2, pos2[1] + 2, 2, 2);\n              doStroke = false;\n            } else {\n              if (low_quality)\n                ctx.rect(pos2[0] - 4, pos2[1] - 4, 8, 8);\n              else\n                ctx.arc(pos2[0], pos2[1], 4, 0, Math.PI * 2);\n            }\n            ctx.fill();\n            if (render_text) {\n              var text = slot.label != null ? slot.label : slot.name;\n              if (text) {\n                ctx.fillStyle = LiteGraph.NODE_TEXT_COLOR;\n                if (horizontal || slot.dir == LiteGraph.UP) {\n                  ctx.fillText(text, pos2[0], pos2[1] - 10);\n                } else {\n                  ctx.fillText(text, pos2[0] + 10, pos2[1] + 5);\n                }\n              }\n            }\n          }\n        }\n        ctx.textAlign = horizontal ? \"center\" : \"right\";\n        ctx.strokeStyle = \"black\";\n        if (node2.outputs) {\n          for (var i2 = 0; i2 < node2.outputs.length; i2++) {\n            var slot = node2.outputs[i2];\n            var slot_type = slot.type;\n            var slot_shape = slot.shape;\n            if (in_slot && !LiteGraph.isValidConnection(slot_type, in_slot.type)) {\n              ctx.globalAlpha = 0.4 * editor_alpha;\n            }\n            var pos2 = node2.getConnectionPos(false, i2, slot_pos);\n            pos2[0] -= node2.pos[0];\n            pos2[1] -= node2.pos[1];\n            if (max_y < pos2[1] + LiteGraph.NODE_SLOT_HEIGHT * 0.5) {\n              max_y = pos2[1] + LiteGraph.NODE_SLOT_HEIGHT * 0.5;\n            }\n            ctx.fillStyle = slot.links && slot.links.length ? slot.color_on || this.default_connection_color_byType[slot_type] || this.default_connection_color.output_on : slot.color_off || this.default_connection_color_byTypeOff[slot_type] || this.default_connection_color_byType[slot_type] || this.default_connection_color.output_off;\n            ctx.beginPath();\n            if (slot_type == \"array\") {\n              slot_shape = LiteGraph.GRID_SHAPE;\n            }\n            var doStroke = true;\n            if (slot_type === LiteGraph.EVENT || slot_shape === LiteGraph.BOX_SHAPE) {\n              if (horizontal) {\n                ctx.rect(\n                  pos2[0] - 5 + 0.5,\n                  pos2[1] - 8 + 0.5,\n                  10,\n                  14\n                );\n              } else {\n                ctx.rect(\n                  pos2[0] - 6 + 0.5,\n                  pos2[1] - 5 + 0.5,\n                  14,\n                  10\n                );\n              }\n            } else if (slot_shape === LiteGraph.ARROW_SHAPE) {\n              ctx.moveTo(pos2[0] + 8, pos2[1] + 0.5);\n              ctx.lineTo(pos2[0] - 4, pos2[1] + 6 + 0.5);\n              ctx.lineTo(pos2[0] - 4, pos2[1] - 6 + 0.5);\n              ctx.closePath();\n            } else if (slot_shape === LiteGraph.GRID_SHAPE) {\n              ctx.rect(pos2[0] - 4, pos2[1] - 4, 2, 2);\n              ctx.rect(pos2[0] - 1, pos2[1] - 4, 2, 2);\n              ctx.rect(pos2[0] + 2, pos2[1] - 4, 2, 2);\n              ctx.rect(pos2[0] - 4, pos2[1] - 1, 2, 2);\n              ctx.rect(pos2[0] - 1, pos2[1] - 1, 2, 2);\n              ctx.rect(pos2[0] + 2, pos2[1] - 1, 2, 2);\n              ctx.rect(pos2[0] - 4, pos2[1] + 2, 2, 2);\n              ctx.rect(pos2[0] - 1, pos2[1] + 2, 2, 2);\n              ctx.rect(pos2[0] + 2, pos2[1] + 2, 2, 2);\n              doStroke = false;\n            } else {\n              if (low_quality)\n                ctx.rect(pos2[0] - 4, pos2[1] - 4, 8, 8);\n              else\n                ctx.arc(pos2[0], pos2[1], 4, 0, Math.PI * 2);\n            }\n            ctx.fill();\n            if (!low_quality && doStroke)\n              ctx.stroke();\n            if (render_text) {\n              var text = slot.label != null ? slot.label : slot.name;\n              if (text) {\n                ctx.fillStyle = LiteGraph.NODE_TEXT_COLOR;\n                if (horizontal || slot.dir == LiteGraph.DOWN) {\n                  ctx.fillText(text, pos2[0], pos2[1] - 8);\n                } else {\n                  ctx.fillText(text, pos2[0] - 10, pos2[1] + 5);\n                }\n              }\n            }\n          }\n        }\n        ctx.textAlign = \"left\";\n        ctx.globalAlpha = 1;\n        if (node2.widgets) {\n          var widgets_y = max_y;\n          if (horizontal || node2.widgets_up) {\n            widgets_y = 2;\n          }\n          if (node2.widgets_start_y != null)\n            widgets_y = node2.widgets_start_y;\n          this.drawNodeWidgets(\n            node2,\n            widgets_y,\n            ctx,\n            this.node_widget && this.node_widget[0] == node2 ? this.node_widget[1] : null\n          );\n        }\n      } else if (this.render_collapsed_slots) {\n        var input_slot = null;\n        var output_slot = null;\n        if (node2.inputs) {\n          for (var i2 = 0; i2 < node2.inputs.length; i2++) {\n            var slot = node2.inputs[i2];\n            if (slot.link == null) {\n              continue;\n            }\n            input_slot = slot;\n            break;\n          }\n        }\n        if (node2.outputs) {\n          for (var i2 = 0; i2 < node2.outputs.length; i2++) {\n            var slot = node2.outputs[i2];\n            if (!slot.links || !slot.links.length) {\n              continue;\n            }\n            output_slot = slot;\n          }\n        }\n        if (input_slot) {\n          var x2 = 0;\n          var y2 = LiteGraph.NODE_TITLE_HEIGHT * -0.5;\n          if (horizontal) {\n            x2 = node2._collapsed_width * 0.5;\n            y2 = -LiteGraph.NODE_TITLE_HEIGHT;\n          }\n          ctx.fillStyle = \"#686\";\n          ctx.beginPath();\n          if (slot.type === LiteGraph.EVENT || slot.shape === LiteGraph.BOX_SHAPE) {\n            ctx.rect(x2 - 7 + 0.5, y2 - 4, 14, 8);\n          } else if (slot.shape === LiteGraph.ARROW_SHAPE) {\n            ctx.moveTo(x2 + 8, y2);\n            ctx.lineTo(x2 + -4, y2 - 4);\n            ctx.lineTo(x2 + -4, y2 + 4);\n            ctx.closePath();\n          } else {\n            ctx.arc(x2, y2, 4, 0, Math.PI * 2);\n          }\n          ctx.fill();\n        }\n        if (output_slot) {\n          var x2 = node2._collapsed_width;\n          var y2 = LiteGraph.NODE_TITLE_HEIGHT * -0.5;\n          if (horizontal) {\n            x2 = node2._collapsed_width * 0.5;\n            y2 = 0;\n          }\n          ctx.fillStyle = \"#686\";\n          ctx.strokeStyle = \"black\";\n          ctx.beginPath();\n          if (slot.type === LiteGraph.EVENT || slot.shape === LiteGraph.BOX_SHAPE) {\n            ctx.rect(x2 - 7 + 0.5, y2 - 4, 14, 8);\n          } else if (slot.shape === LiteGraph.ARROW_SHAPE) {\n            ctx.moveTo(x2 + 6, y2);\n            ctx.lineTo(x2 - 6, y2 - 4);\n            ctx.lineTo(x2 - 6, y2 + 4);\n            ctx.closePath();\n          } else {\n            ctx.arc(x2, y2, 4, 0, Math.PI * 2);\n          }\n          ctx.fill();\n        }\n      }\n      if (node2.clip_area) {\n        ctx.restore();\n      }\n      ctx.globalAlpha = 1;\n    }\n    //used by this.over_link_center\n    drawLinkTooltip(ctx, link) {\n      var pos2 = link._pos;\n      ctx.fillStyle = \"black\";\n      ctx.beginPath();\n      ctx.arc(pos2[0], pos2[1], 3, 0, Math.PI * 2);\n      ctx.fill();\n      if (link.data == null)\n        return;\n      if (this.onDrawLinkTooltip) {\n        if (this.onDrawLinkTooltip(ctx, link, this) == true)\n          return;\n      }\n      var data = link.data;\n      var text = null;\n      if (data.constructor === Number)\n        text = data.toFixed(2);\n      else if (data.constructor === String)\n        text = '\"' + data + '\"';\n      else if (data.constructor === Boolean)\n        text = String(data);\n      else if (data.toToolTip)\n        text = data.toToolTip();\n      else\n        text = \"[\" + data.constructor.name + \"]\";\n      if (text == null)\n        return;\n      text = text.substr(0, 30);\n      ctx.font = \"14px Courier New\";\n      var info = ctx.measureText(text);\n      var w2 = info.width + 20;\n      var h = 24;\n      ctx.shadowColor = \"black\";\n      ctx.shadowOffsetX = 2;\n      ctx.shadowOffsetY = 2;\n      ctx.shadowBlur = 3;\n      ctx.fillStyle = \"#454\";\n      ctx.beginPath();\n      ctx.roundRect(pos2[0] - w2 * 0.5, pos2[1] - 15 - h, w2, h, [3]);\n      ctx.moveTo(pos2[0] - 10, pos2[1] - 15);\n      ctx.lineTo(pos2[0] + 10, pos2[1] - 15);\n      ctx.lineTo(pos2[0], pos2[1] - 5);\n      ctx.fill();\n      ctx.shadowColor = \"transparent\";\n      ctx.textAlign = \"center\";\n      ctx.fillStyle = \"#CEC\";\n      ctx.fillText(text, pos2[0], pos2[1] - 15 - h * 0.3);\n    }\n    /**\n     * draws the shape of the given node in the canvas\n     * @method drawNodeShape\n     **/\n    drawNodeShape(node2, ctx, size, fgcolor, bgcolor, selected, mouse_over) {\n      ctx.strokeStyle = fgcolor;\n      ctx.fillStyle = bgcolor;\n      var title_height = LiteGraph.NODE_TITLE_HEIGHT;\n      var low_quality = this.ds.scale < 0.5;\n      var shape = node2._shape || node2.constructor.shape || LiteGraph.ROUND_SHAPE;\n      var title_mode = node2.constructor.title_mode;\n      var render_title = true;\n      if (title_mode == LiteGraph.TRANSPARENT_TITLE || title_mode == LiteGraph.NO_TITLE) {\n        render_title = false;\n      } else if (title_mode == LiteGraph.AUTOHIDE_TITLE && mouse_over) {\n        render_title = true;\n      }\n      var area = __privateGet(_LGraphCanvas, _tmp_area);\n      area[0] = 0;\n      area[1] = render_title ? -title_height : 0;\n      area[2] = size[0] + 1;\n      area[3] = render_title ? size[1] + title_height : size[1];\n      var old_alpha = ctx.globalAlpha;\n      {\n        ctx.beginPath();\n        if (shape == LiteGraph.BOX_SHAPE || low_quality) {\n          ctx.fillRect(area[0], area[1], area[2], area[3]);\n        } else if (shape == LiteGraph.ROUND_SHAPE || shape == LiteGraph.CARD_SHAPE) {\n          ctx.roundRect(\n            area[0],\n            area[1],\n            area[2],\n            area[3],\n            shape == LiteGraph.CARD_SHAPE ? [this.round_radius, this.round_radius, 0, 0] : [this.round_radius]\n          );\n        } else if (shape == LiteGraph.CIRCLE_SHAPE) {\n          ctx.arc(\n            size[0] * 0.5,\n            size[1] * 0.5,\n            size[0] * 0.5,\n            0,\n            Math.PI * 2\n          );\n        }\n        ctx.fill();\n        if (!node2.flags.collapsed && render_title) {\n          ctx.shadowColor = \"transparent\";\n          ctx.fillStyle = \"rgba(0,0,0,0.2)\";\n          ctx.fillRect(0, -1, area[2], 2);\n        }\n      }\n      ctx.shadowColor = \"transparent\";\n      if (node2.onDrawBackground) {\n        node2.onDrawBackground(ctx, this, this.canvas, this.graph_mouse);\n      }\n      if (render_title || title_mode == LiteGraph.TRANSPARENT_TITLE) {\n        if (node2.onDrawTitleBar) {\n          node2.onDrawTitleBar(ctx, title_height, size, this.ds.scale, fgcolor);\n        } else if (title_mode != LiteGraph.TRANSPARENT_TITLE && (node2.constructor.title_color || this.render_title_colored)) {\n          var title_color = node2.constructor.title_color || fgcolor;\n          if (node2.flags.collapsed) {\n            ctx.shadowColor = LiteGraph.DEFAULT_SHADOW_COLOR;\n          }\n          if (this.use_gradients) {\n            var grad = _LGraphCanvas.gradients[title_color];\n            if (!grad) {\n              grad = _LGraphCanvas.gradients[title_color] = ctx.createLinearGradient(0, 0, 400, 0);\n              grad.addColorStop(0, title_color);\n              grad.addColorStop(1, \"#000\");\n            }\n            ctx.fillStyle = grad;\n          } else {\n            ctx.fillStyle = title_color;\n          }\n          ctx.beginPath();\n          if (shape == LiteGraph.BOX_SHAPE || low_quality) {\n            ctx.rect(0, -title_height, size[0] + 1, title_height);\n          } else if (shape == LiteGraph.ROUND_SHAPE || shape == LiteGraph.CARD_SHAPE) {\n            ctx.roundRect(\n              0,\n              -title_height,\n              size[0] + 1,\n              title_height,\n              node2.flags.collapsed ? [this.round_radius] : [this.round_radius, this.round_radius, 0, 0]\n            );\n          }\n          ctx.fill();\n          ctx.shadowColor = \"transparent\";\n        }\n        var colState = false;\n        if (LiteGraph.node_box_coloured_by_mode) {\n          if (LiteGraph.NODE_MODES_COLORS[node2.mode]) {\n            colState = LiteGraph.NODE_MODES_COLORS[node2.mode];\n          }\n        }\n        if (LiteGraph.node_box_coloured_when_on) {\n          colState = node2.action_triggered ? \"#FFF\" : node2.execute_triggered ? \"#AAA\" : colState;\n        }\n        var box_size = 10;\n        if (node2.onDrawTitleBox) {\n          node2.onDrawTitleBox(ctx, title_height, size, this.ds.scale);\n        } else if (shape == LiteGraph.ROUND_SHAPE || shape == LiteGraph.CIRCLE_SHAPE || shape == LiteGraph.CARD_SHAPE) {\n          if (low_quality) {\n            ctx.fillStyle = \"black\";\n            ctx.beginPath();\n            ctx.arc(\n              title_height * 0.5,\n              title_height * -0.5,\n              box_size * 0.5 + 1,\n              0,\n              Math.PI * 2\n            );\n            ctx.fill();\n          }\n          ctx.fillStyle = node2.boxcolor || colState || LiteGraph.NODE_DEFAULT_BOXCOLOR;\n          if (low_quality)\n            ctx.fillRect(title_height * 0.5 - box_size * 0.5, title_height * -0.5 - box_size * 0.5, box_size, box_size);\n          else {\n            ctx.beginPath();\n            ctx.arc(\n              title_height * 0.5,\n              title_height * -0.5,\n              box_size * 0.5,\n              0,\n              Math.PI * 2\n            );\n            ctx.fill();\n          }\n        } else {\n          if (low_quality) {\n            ctx.fillStyle = \"black\";\n            ctx.fillRect(\n              (title_height - box_size) * 0.5 - 1,\n              (title_height + box_size) * -0.5 - 1,\n              box_size + 2,\n              box_size + 2\n            );\n          }\n          ctx.fillStyle = node2.boxcolor || colState || LiteGraph.NODE_DEFAULT_BOXCOLOR;\n          ctx.fillRect(\n            (title_height - box_size) * 0.5,\n            (title_height + box_size) * -0.5,\n            box_size,\n            box_size\n          );\n        }\n        ctx.globalAlpha = old_alpha;\n        if (node2.onDrawTitleText) {\n          node2.onDrawTitleText(\n            ctx,\n            title_height,\n            size,\n            this.ds.scale,\n            this.title_text_font,\n            selected\n          );\n        }\n        if (!low_quality) {\n          ctx.font = this.title_text_font;\n          var title = String(node2.getTitle());\n          if (title) {\n            if (selected) {\n              ctx.fillStyle = LiteGraph.NODE_SELECTED_TITLE_COLOR;\n            } else {\n              ctx.fillStyle = node2.constructor.title_text_color || this.node_title_color;\n            }\n            if (node2.flags.collapsed) {\n              ctx.textAlign = \"left\";\n              ctx.measureText(title);\n              ctx.fillText(\n                title.substr(0, 20),\n                //avoid urls too long\n                title_height,\n                // + measure.width * 0.5,\n                LiteGraph.NODE_TITLE_TEXT_Y - title_height\n              );\n              ctx.textAlign = \"left\";\n            } else {\n              ctx.textAlign = \"left\";\n              ctx.fillText(\n                title,\n                title_height,\n                LiteGraph.NODE_TITLE_TEXT_Y - title_height\n              );\n            }\n          }\n        }\n        if (!node2.flags.collapsed && node2.subgraph && !node2.skip_subgraph_button) {\n          var w2 = LiteGraph.NODE_TITLE_HEIGHT;\n          var x2 = node2.size[0] - w2;\n          var over = LiteGraph.isInsideRectangle(this.graph_mouse[0] - node2.pos[0], this.graph_mouse[1] - node2.pos[1], x2 + 2, -w2 + 2, w2 - 4, w2 - 4);\n          ctx.fillStyle = over ? \"#888\" : \"#555\";\n          if (shape == LiteGraph.BOX_SHAPE || low_quality)\n            ctx.fillRect(x2 + 2, -w2 + 2, w2 - 4, w2 - 4);\n          else {\n            ctx.beginPath();\n            ctx.roundRect(x2 + 2, -w2 + 2, w2 - 4, w2 - 4, [4]);\n            ctx.fill();\n          }\n          ctx.fillStyle = \"#333\";\n          ctx.beginPath();\n          ctx.moveTo(x2 + w2 * 0.2, -w2 * 0.6);\n          ctx.lineTo(x2 + w2 * 0.8, -w2 * 0.6);\n          ctx.lineTo(x2 + w2 * 0.5, -w2 * 0.3);\n          ctx.fill();\n        }\n        if (node2.onDrawTitle) {\n          node2.onDrawTitle(ctx);\n        }\n      }\n      if (selected) {\n        if (node2.onBounding) {\n          node2.onBounding(area);\n        }\n        if (title_mode == LiteGraph.TRANSPARENT_TITLE) {\n          area[1] -= title_height;\n          area[3] += title_height;\n        }\n        ctx.lineWidth = 1;\n        ctx.globalAlpha = 0.8;\n        ctx.beginPath();\n        if (shape == LiteGraph.BOX_SHAPE) {\n          ctx.rect(\n            -6 + area[0],\n            -6 + area[1],\n            12 + area[2],\n            12 + area[3]\n          );\n        } else if (shape == LiteGraph.ROUND_SHAPE || shape == LiteGraph.CARD_SHAPE && node2.flags.collapsed) {\n          ctx.roundRect(\n            -6 + area[0],\n            -6 + area[1],\n            12 + area[2],\n            12 + area[3],\n            [this.round_radius * 2]\n          );\n        } else if (shape == LiteGraph.CARD_SHAPE) {\n          ctx.roundRect(\n            -6 + area[0],\n            -6 + area[1],\n            12 + area[2],\n            12 + area[3],\n            [this.round_radius * 2, 2, this.round_radius * 2, 2]\n          );\n        } else if (shape == LiteGraph.CIRCLE_SHAPE) {\n          ctx.arc(\n            size[0] * 0.5,\n            size[1] * 0.5,\n            size[0] * 0.5 + 6,\n            0,\n            Math.PI * 2\n          );\n        }\n        ctx.strokeStyle = LiteGraph.NODE_BOX_OUTLINE_COLOR;\n        ctx.stroke();\n        ctx.strokeStyle = fgcolor;\n        ctx.globalAlpha = 1;\n      }\n      if (node2.execute_triggered > 0) node2.execute_triggered--;\n      if (node2.action_triggered > 0) node2.action_triggered--;\n    }\n    drawConnections(ctx) {\n      var now = LiteGraph.getTime();\n      var visible_area = this.visible_area;\n      __privateGet(_LGraphCanvas, _margin_area)[0] = visible_area[0] - 20;\n      __privateGet(_LGraphCanvas, _margin_area)[1] = visible_area[1] - 20;\n      __privateGet(_LGraphCanvas, _margin_area)[2] = visible_area[2] + 40;\n      __privateGet(_LGraphCanvas, _margin_area)[3] = visible_area[3] + 40;\n      ctx.lineWidth = this.connections_width;\n      ctx.fillStyle = \"#AAA\";\n      ctx.strokeStyle = \"#AAA\";\n      ctx.globalAlpha = this.editor_alpha;\n      var nodes = this.graph._nodes;\n      for (var n = 0, l = nodes.length; n < l; ++n) {\n        var node2 = nodes[n];\n        if (!node2.inputs || !node2.inputs.length) {\n          continue;\n        }\n        for (var i2 = 0; i2 < node2.inputs.length; ++i2) {\n          var input = node2.inputs[i2];\n          if (!input || input.link == null) {\n            continue;\n          }\n          var link_id = input.link;\n          var link = this.graph.links[link_id];\n          if (!link) {\n            continue;\n          }\n          var start_node = this.graph.getNodeById(link.origin_id);\n          if (start_node == null) {\n            continue;\n          }\n          var start_node_slot = link.origin_slot;\n          var start_node_slotpos = null;\n          if (start_node_slot == -1) {\n            start_node_slotpos = [\n              start_node.pos[0] + 10,\n              start_node.pos[1] + 10\n            ];\n          } else {\n            start_node_slotpos = start_node.getConnectionPos(\n              false,\n              start_node_slot,\n              __privateGet(_LGraphCanvas, _tempA)\n            );\n          }\n          var end_node_slotpos = node2.getConnectionPos(true, i2, __privateGet(_LGraphCanvas, _tempB));\n          __privateGet(_LGraphCanvas, _link_bounding)[0] = start_node_slotpos[0];\n          __privateGet(_LGraphCanvas, _link_bounding)[1] = start_node_slotpos[1];\n          __privateGet(_LGraphCanvas, _link_bounding)[2] = end_node_slotpos[0] - start_node_slotpos[0];\n          __privateGet(_LGraphCanvas, _link_bounding)[3] = end_node_slotpos[1] - start_node_slotpos[1];\n          if (__privateGet(_LGraphCanvas, _link_bounding)[2] < 0) {\n            __privateGet(_LGraphCanvas, _link_bounding)[0] += __privateGet(_LGraphCanvas, _link_bounding)[2];\n            __privateGet(_LGraphCanvas, _link_bounding)[2] = Math.abs(__privateGet(_LGraphCanvas, _link_bounding)[2]);\n          }\n          if (__privateGet(_LGraphCanvas, _link_bounding)[3] < 0) {\n            __privateGet(_LGraphCanvas, _link_bounding)[1] += __privateGet(_LGraphCanvas, _link_bounding)[3];\n            __privateGet(_LGraphCanvas, _link_bounding)[3] = Math.abs(__privateGet(_LGraphCanvas, _link_bounding)[3]);\n          }\n          if (!overlapBounding(__privateGet(_LGraphCanvas, _link_bounding), __privateGet(_LGraphCanvas, _margin_area))) {\n            continue;\n          }\n          var start_slot = start_node.outputs[start_node_slot];\n          var end_slot = node2.inputs[i2];\n          if (!start_slot || !end_slot) {\n            continue;\n          }\n          var start_dir = start_slot.dir || (start_node.horizontal ? LiteGraph.DOWN : LiteGraph.RIGHT);\n          var end_dir = end_slot.dir || (node2.horizontal ? LiteGraph.UP : LiteGraph.LEFT);\n          this.renderLink(\n            ctx,\n            start_node_slotpos,\n            end_node_slotpos,\n            link,\n            false,\n            0,\n            null,\n            start_dir,\n            end_dir\n          );\n          if (link && link._last_time && now - link._last_time < 1e3) {\n            var f = 2 - (now - link._last_time) * 2e-3;\n            var tmp = ctx.globalAlpha;\n            ctx.globalAlpha = tmp * f;\n            this.renderLink(\n              ctx,\n              start_node_slotpos,\n              end_node_slotpos,\n              link,\n              true,\n              f,\n              \"white\",\n              start_dir,\n              end_dir\n            );\n            ctx.globalAlpha = tmp;\n          }\n        }\n      }\n      ctx.globalAlpha = 1;\n    }\n    /**\n         * draws a link between two points\n         * @method renderLink\n         * @param {vec2} a start pos\n         * @param {vec2} b end pos\n         * @param {Object} link the link object with all the link info\n         * @param {boolean} skip_border ignore the shadow of the link\n         * @param {boolean} flow show flow animation (for events)\n         * @param {string} color the color for the link\n         * @param {number} start_dir the direction enum\n         * @param {number} end_dir the direction enum\n         * @param {number} num_sublines number of sublines (useful to represent vec3 or rgb)\n         **/\n    renderLink(ctx, a, b, link, skip_border, flow, color, start_dir, end_dir, num_sublines) {\n      if (link) {\n        this.visible_links.push(link);\n      }\n      if (!color && link) {\n        color = link.color || _LGraphCanvas.link_type_colors[link.type];\n      }\n      if (!color) {\n        color = this.default_link_color;\n      }\n      if (link != null && this.highlighted_links[link.id]) {\n        color = \"#FFF\";\n      }\n      start_dir = start_dir || LiteGraph.RIGHT;\n      end_dir = end_dir || LiteGraph.LEFT;\n      var dist = distance(a, b);\n      if (this.render_connections_border && this.ds.scale > 0.6) {\n        ctx.lineWidth = this.connections_width + 4;\n      }\n      ctx.lineJoin = \"round\";\n      num_sublines = num_sublines || 1;\n      if (num_sublines > 1) {\n        ctx.lineWidth = 0.5;\n      }\n      ctx.beginPath();\n      for (var i2 = 0; i2 < num_sublines; i2 += 1) {\n        var offsety = (i2 - (num_sublines - 1) * 0.5) * 5;\n        if (this.links_render_mode == LiteGraph.SPLINE_LINK) {\n          ctx.moveTo(a[0], a[1] + offsety);\n          var start_offset_x = 0;\n          var start_offset_y = 0;\n          var end_offset_x = 0;\n          var end_offset_y = 0;\n          switch (start_dir) {\n            case LiteGraph.LEFT:\n              start_offset_x = dist * -0.25;\n              break;\n            case LiteGraph.RIGHT:\n              start_offset_x = dist * 0.25;\n              break;\n            case LiteGraph.UP:\n              start_offset_y = dist * -0.25;\n              break;\n            case LiteGraph.DOWN:\n              start_offset_y = dist * 0.25;\n              break;\n          }\n          switch (end_dir) {\n            case LiteGraph.LEFT:\n              end_offset_x = dist * -0.25;\n              break;\n            case LiteGraph.RIGHT:\n              end_offset_x = dist * 0.25;\n              break;\n            case LiteGraph.UP:\n              end_offset_y = dist * -0.25;\n              break;\n            case LiteGraph.DOWN:\n              end_offset_y = dist * 0.25;\n              break;\n          }\n          ctx.bezierCurveTo(\n            a[0] + start_offset_x,\n            a[1] + start_offset_y + offsety,\n            b[0] + end_offset_x,\n            b[1] + end_offset_y + offsety,\n            b[0],\n            b[1] + offsety\n          );\n        } else if (this.links_render_mode == LiteGraph.LINEAR_LINK) {\n          ctx.moveTo(a[0], a[1] + offsety);\n          var start_offset_x = 0;\n          var start_offset_y = 0;\n          var end_offset_x = 0;\n          var end_offset_y = 0;\n          switch (start_dir) {\n            case LiteGraph.LEFT:\n              start_offset_x = -1;\n              break;\n            case LiteGraph.RIGHT:\n              start_offset_x = 1;\n              break;\n            case LiteGraph.UP:\n              start_offset_y = -1;\n              break;\n            case LiteGraph.DOWN:\n              start_offset_y = 1;\n              break;\n          }\n          switch (end_dir) {\n            case LiteGraph.LEFT:\n              end_offset_x = -1;\n              break;\n            case LiteGraph.RIGHT:\n              end_offset_x = 1;\n              break;\n            case LiteGraph.UP:\n              end_offset_y = -1;\n              break;\n            case LiteGraph.DOWN:\n              end_offset_y = 1;\n              break;\n          }\n          var l = 15;\n          ctx.lineTo(\n            a[0] + start_offset_x * l,\n            a[1] + start_offset_y * l + offsety\n          );\n          ctx.lineTo(\n            b[0] + end_offset_x * l,\n            b[1] + end_offset_y * l + offsety\n          );\n          ctx.lineTo(b[0], b[1] + offsety);\n        } else if (this.links_render_mode == LiteGraph.STRAIGHT_LINK) {\n          ctx.moveTo(a[0], a[1]);\n          var start_x = a[0];\n          var start_y = a[1];\n          var end_x = b[0];\n          var end_y = b[1];\n          if (start_dir == LiteGraph.RIGHT) {\n            start_x += 10;\n          } else {\n            start_y += 10;\n          }\n          if (end_dir == LiteGraph.LEFT) {\n            end_x -= 10;\n          } else {\n            end_y -= 10;\n          }\n          ctx.lineTo(start_x, start_y);\n          ctx.lineTo((start_x + end_x) * 0.5, start_y);\n          ctx.lineTo((start_x + end_x) * 0.5, end_y);\n          ctx.lineTo(end_x, end_y);\n          ctx.lineTo(b[0], b[1]);\n        } else {\n          return;\n        }\n      }\n      if (this.render_connections_border && this.ds.scale > 0.6 && !skip_border) {\n        ctx.strokeStyle = \"rgba(0,0,0,0.5)\";\n        ctx.stroke();\n      }\n      ctx.lineWidth = this.connections_width;\n      ctx.fillStyle = ctx.strokeStyle = color;\n      ctx.stroke();\n      var pos2 = this.computeConnectionPoint(a, b, 0.5, start_dir, end_dir);\n      if (link && link._pos) {\n        link._pos[0] = pos2[0];\n        link._pos[1] = pos2[1];\n      }\n      if (this.ds.scale >= 0.6 && this.highquality_render && end_dir != LiteGraph.CENTER) {\n        if (this.render_connection_arrows) {\n          var posA = this.computeConnectionPoint(\n            a,\n            b,\n            0.25,\n            start_dir,\n            end_dir\n          );\n          var posB = this.computeConnectionPoint(\n            a,\n            b,\n            0.26,\n            start_dir,\n            end_dir\n          );\n          var posC = this.computeConnectionPoint(\n            a,\n            b,\n            0.75,\n            start_dir,\n            end_dir\n          );\n          var posD = this.computeConnectionPoint(\n            a,\n            b,\n            0.76,\n            start_dir,\n            end_dir\n          );\n          var angleA = 0;\n          var angleB = 0;\n          if (this.render_curved_connections) {\n            angleA = -Math.atan2(posB[0] - posA[0], posB[1] - posA[1]);\n            angleB = -Math.atan2(posD[0] - posC[0], posD[1] - posC[1]);\n          } else {\n            angleB = angleA = b[1] > a[1] ? 0 : Math.PI;\n          }\n          ctx.save();\n          ctx.translate(posA[0], posA[1]);\n          ctx.rotate(angleA);\n          ctx.beginPath();\n          ctx.moveTo(-5, -3);\n          ctx.lineTo(0, 7);\n          ctx.lineTo(5, -3);\n          ctx.fill();\n          ctx.restore();\n          ctx.save();\n          ctx.translate(posC[0], posC[1]);\n          ctx.rotate(angleB);\n          ctx.beginPath();\n          ctx.moveTo(-5, -3);\n          ctx.lineTo(0, 7);\n          ctx.lineTo(5, -3);\n          ctx.fill();\n          ctx.restore();\n        }\n        ctx.beginPath();\n        ctx.arc(pos2[0], pos2[1], 5, 0, Math.PI * 2);\n        ctx.fill();\n      }\n      if (flow) {\n        ctx.fillStyle = color;\n        for (var i2 = 0; i2 < 5; ++i2) {\n          var f = (LiteGraph.getTime() * 1e-3 + i2 * 0.2) % 1;\n          var pos2 = this.computeConnectionPoint(\n            a,\n            b,\n            f,\n            start_dir,\n            end_dir\n          );\n          ctx.beginPath();\n          ctx.arc(pos2[0], pos2[1], 5, 0, 2 * Math.PI);\n          ctx.fill();\n        }\n      }\n    }\n    //returns the link center point based on curvature\n    computeConnectionPoint(a, b, t, start_dir, end_dir) {\n      start_dir = start_dir || LiteGraph.RIGHT;\n      end_dir = end_dir || LiteGraph.LEFT;\n      var dist = distance(a, b);\n      var p0 = a;\n      var p1 = [a[0], a[1]];\n      var p2 = [b[0], b[1]];\n      var p3 = b;\n      switch (start_dir) {\n        case LiteGraph.LEFT:\n          p1[0] += dist * -0.25;\n          break;\n        case LiteGraph.RIGHT:\n          p1[0] += dist * 0.25;\n          break;\n        case LiteGraph.UP:\n          p1[1] += dist * -0.25;\n          break;\n        case LiteGraph.DOWN:\n          p1[1] += dist * 0.25;\n          break;\n      }\n      switch (end_dir) {\n        case LiteGraph.LEFT:\n          p2[0] += dist * -0.25;\n          break;\n        case LiteGraph.RIGHT:\n          p2[0] += dist * 0.25;\n          break;\n        case LiteGraph.UP:\n          p2[1] += dist * -0.25;\n          break;\n        case LiteGraph.DOWN:\n          p2[1] += dist * 0.25;\n          break;\n      }\n      var c1 = (1 - t) * (1 - t) * (1 - t);\n      var c2 = 3 * ((1 - t) * (1 - t)) * t;\n      var c3 = 3 * (1 - t) * (t * t);\n      var c4 = t * t * t;\n      var x2 = c1 * p0[0] + c2 * p1[0] + c3 * p2[0] + c4 * p3[0];\n      var y2 = c1 * p0[1] + c2 * p1[1] + c3 * p2[1] + c4 * p3[1];\n      return [x2, y2];\n    }\n    drawExecutionOrder(ctx) {\n      ctx.shadowColor = \"transparent\";\n      ctx.globalAlpha = 0.25;\n      ctx.textAlign = \"center\";\n      ctx.strokeStyle = \"white\";\n      ctx.globalAlpha = 0.75;\n      var visible_nodes = this.visible_nodes;\n      for (var i2 = 0; i2 < visible_nodes.length; ++i2) {\n        var node2 = visible_nodes[i2];\n        ctx.fillStyle = \"black\";\n        ctx.fillRect(\n          node2.pos[0] - LiteGraph.NODE_TITLE_HEIGHT,\n          node2.pos[1] - LiteGraph.NODE_TITLE_HEIGHT,\n          LiteGraph.NODE_TITLE_HEIGHT,\n          LiteGraph.NODE_TITLE_HEIGHT\n        );\n        if (node2.order == 0) {\n          ctx.strokeRect(\n            node2.pos[0] - LiteGraph.NODE_TITLE_HEIGHT + 0.5,\n            node2.pos[1] - LiteGraph.NODE_TITLE_HEIGHT + 0.5,\n            LiteGraph.NODE_TITLE_HEIGHT,\n            LiteGraph.NODE_TITLE_HEIGHT\n          );\n        }\n        ctx.fillStyle = \"#FFF\";\n        ctx.fillText(\n          node2.order,\n          node2.pos[0] + LiteGraph.NODE_TITLE_HEIGHT * -0.5,\n          node2.pos[1] - 6\n        );\n      }\n      ctx.globalAlpha = 1;\n    }\n    /**\n         * draws the widgets stored inside a node\n         * @method drawNodeWidgets\n         **/\n    drawNodeWidgets(node2, posY, ctx, active_widget2) {\n      if (!node2.widgets || !node2.widgets.length) {\n        return 0;\n      }\n      var width2 = node2.size[0];\n      var widgets = node2.widgets;\n      posY += 2;\n      var H = LiteGraph.NODE_WIDGET_HEIGHT;\n      var show_text = this.ds.scale > 0.5;\n      ctx.save();\n      ctx.globalAlpha = this.editor_alpha;\n      var outline_color = LiteGraph.WIDGET_OUTLINE_COLOR;\n      var background_color = LiteGraph.WIDGET_BGCOLOR;\n      var text_color = LiteGraph.WIDGET_TEXT_COLOR;\n      var secondary_text_color = LiteGraph.WIDGET_SECONDARY_TEXT_COLOR;\n      var margin = 15;\n      for (var i2 = 0; i2 < widgets.length; ++i2) {\n        var w2 = widgets[i2];\n        var y2 = posY;\n        if (w2.y) {\n          y2 = w2.y;\n        }\n        w2.last_y = y2;\n        ctx.strokeStyle = outline_color;\n        ctx.fillStyle = \"#222\";\n        ctx.textAlign = \"left\";\n        if (w2.disabled)\n          ctx.globalAlpha *= 0.5;\n        var widget_width2 = w2.width || width2;\n        switch (w2.type) {\n          case \"button\":\n            ctx.fillStyle = background_color;\n            if (w2.clicked) {\n              ctx.fillStyle = \"#AAA\";\n              w2.clicked = false;\n              this.dirty_canvas = true;\n            }\n            ctx.fillRect(margin, y2, widget_width2 - margin * 2, H);\n            if (show_text && !w2.disabled)\n              ctx.strokeRect(margin, y2, widget_width2 - margin * 2, H);\n            if (show_text) {\n              ctx.textAlign = \"center\";\n              ctx.fillStyle = text_color;\n              ctx.fillText(w2.label || w2.name, widget_width2 * 0.5, y2 + H * 0.7);\n            }\n            break;\n          case \"toggle\":\n            ctx.textAlign = \"left\";\n            ctx.strokeStyle = outline_color;\n            ctx.fillStyle = background_color;\n            ctx.beginPath();\n            if (show_text)\n              ctx.roundRect(margin, y2, widget_width2 - margin * 2, H, [H * 0.5]);\n            else\n              ctx.rect(margin, y2, widget_width2 - margin * 2, H);\n            ctx.fill();\n            if (show_text && !w2.disabled)\n              ctx.stroke();\n            ctx.fillStyle = w2.value ? \"#89A\" : \"#333\";\n            ctx.beginPath();\n            ctx.arc(widget_width2 - margin * 2, y2 + H * 0.5, H * 0.36, 0, Math.PI * 2);\n            ctx.fill();\n            if (show_text) {\n              ctx.fillStyle = secondary_text_color;\n              const label = w2.label || w2.name;\n              if (label != null) {\n                ctx.fillText(label, margin * 2, y2 + H * 0.7);\n              }\n              ctx.fillStyle = w2.value ? text_color : secondary_text_color;\n              ctx.textAlign = \"right\";\n              ctx.fillText(\n                w2.value ? w2.options.on || \"true\" : w2.options.off || \"false\",\n                widget_width2 - 40,\n                y2 + H * 0.7\n              );\n            }\n            break;\n          case \"slider\":\n            ctx.fillStyle = background_color;\n            ctx.fillRect(margin, y2, widget_width2 - margin * 2, H);\n            var range = w2.options.max - w2.options.min;\n            var nvalue2 = (w2.value - w2.options.min) / range;\n            if (nvalue2 < 0) nvalue2 = 0;\n            if (nvalue2 > 1) nvalue2 = 1;\n            ctx.fillStyle = w2.options.hasOwnProperty(\"slider_color\") ? w2.options.slider_color : active_widget2 == w2 ? \"#89A\" : \"#678\";\n            ctx.fillRect(margin, y2, nvalue2 * (widget_width2 - margin * 2), H);\n            if (show_text && !w2.disabled)\n              ctx.strokeRect(margin, y2, widget_width2 - margin * 2, H);\n            if (w2.marker) {\n              var marker_nvalue = (w2.marker - w2.options.min) / range;\n              if (marker_nvalue < 0) marker_nvalue = 0;\n              if (marker_nvalue > 1) marker_nvalue = 1;\n              ctx.fillStyle = w2.options.hasOwnProperty(\"marker_color\") ? w2.options.marker_color : \"#AA9\";\n              ctx.fillRect(margin + marker_nvalue * (widget_width2 - margin * 2), y2, 2, H);\n            }\n            if (show_text) {\n              ctx.textAlign = \"center\";\n              ctx.fillStyle = text_color;\n              ctx.fillText(\n                w2.label || w2.name + \"  \" + Number(w2.value).toFixed(\n                  w2.options.precision != null ? w2.options.precision : 3\n                ),\n                widget_width2 * 0.5,\n                y2 + H * 0.7\n              );\n            }\n            break;\n          case \"number\":\n          case \"combo\":\n            ctx.textAlign = \"left\";\n            ctx.strokeStyle = outline_color;\n            ctx.fillStyle = background_color;\n            ctx.beginPath();\n            if (show_text)\n              ctx.roundRect(margin, y2, widget_width2 - margin * 2, H, [H * 0.5]);\n            else\n              ctx.rect(margin, y2, widget_width2 - margin * 2, H);\n            ctx.fill();\n            if (show_text) {\n              if (!w2.disabled)\n                ctx.stroke();\n              ctx.fillStyle = text_color;\n              if (!w2.disabled) {\n                ctx.beginPath();\n                ctx.moveTo(margin + 16, y2 + 5);\n                ctx.lineTo(margin + 6, y2 + H * 0.5);\n                ctx.lineTo(margin + 16, y2 + H - 5);\n                ctx.fill();\n                ctx.beginPath();\n                ctx.moveTo(widget_width2 - margin - 16, y2 + 5);\n                ctx.lineTo(widget_width2 - margin - 6, y2 + H * 0.5);\n                ctx.lineTo(widget_width2 - margin - 16, y2 + H - 5);\n                ctx.fill();\n              }\n              ctx.fillStyle = secondary_text_color;\n              ctx.fillText(w2.label || w2.name, margin * 2 + 5, y2 + H * 0.7);\n              ctx.fillStyle = text_color;\n              ctx.textAlign = \"right\";\n              if (w2.type == \"number\") {\n                ctx.fillText(\n                  Number(w2.value).toFixed(\n                    w2.options.precision !== void 0 ? w2.options.precision : 3\n                  ),\n                  widget_width2 - margin * 2 - 20,\n                  y2 + H * 0.7\n                );\n              } else {\n                var v2 = w2.value;\n                if (w2.options.values) {\n                  var values2 = w2.options.values;\n                  if (values2.constructor === Function)\n                    values2 = values2();\n                  if (values2 && values2.constructor !== Array)\n                    v2 = values2[w2.value];\n                }\n                const labelWidth = ctx.measureText(w2.label || w2.name).width + margin * 2;\n                const inputWidth = widget_width2 - margin * 4;\n                const availableWidth = inputWidth - labelWidth;\n                const textWidth = ctx.measureText(v2).width;\n                if (textWidth > availableWidth) {\n                  const ELLIPSIS = \"…\";\n                  const ellipsisWidth = ctx.measureText(ELLIPSIS).width;\n                  const charWidthAvg = ctx.measureText(\"a\").width;\n                  if (availableWidth <= ellipsisWidth) {\n                    v2 = \"․\";\n                  } else {\n                    v2 = `${v2}`;\n                    const overflowWidth = textWidth + ellipsisWidth - availableWidth;\n                    if (overflowWidth + charWidthAvg * 3 > availableWidth) {\n                      const preciseRange = availableWidth + charWidthAvg * 3;\n                      const preTruncateCt = Math.floor((preciseRange - ellipsisWidth) / charWidthAvg);\n                      v2 = v2.substr(0, preTruncateCt);\n                    }\n                    while (ctx.measureText(v2).width + ellipsisWidth > availableWidth) {\n                      v2 = v2.substr(0, v2.length - 1);\n                    }\n                    v2 += ELLIPSIS;\n                  }\n                }\n                ctx.fillText(\n                  v2,\n                  widget_width2 - margin * 2 - 20,\n                  y2 + H * 0.7\n                );\n              }\n            }\n            break;\n          case \"string\":\n          case \"text\":\n            ctx.textAlign = \"left\";\n            ctx.strokeStyle = outline_color;\n            ctx.fillStyle = background_color;\n            ctx.beginPath();\n            if (show_text)\n              ctx.roundRect(margin, y2, widget_width2 - margin * 2, H, [H * 0.5]);\n            else\n              ctx.rect(margin, y2, widget_width2 - margin * 2, H);\n            ctx.fill();\n            if (show_text) {\n              if (!w2.disabled)\n                ctx.stroke();\n              ctx.save();\n              ctx.beginPath();\n              ctx.rect(margin, y2, widget_width2 - margin * 2, H);\n              ctx.clip();\n              ctx.fillStyle = secondary_text_color;\n              const label = w2.label || w2.name;\n              if (label != null) {\n                ctx.fillText(label, margin * 2, y2 + H * 0.7);\n              }\n              ctx.fillStyle = text_color;\n              ctx.textAlign = \"right\";\n              ctx.fillText(String(w2.value).substr(0, 30), widget_width2 - margin * 2, y2 + H * 0.7);\n              ctx.restore();\n            }\n            break;\n          default:\n            if (w2.draw) {\n              w2.draw(ctx, node2, widget_width2, y2, H);\n            }\n            break;\n        }\n        posY += (w2.computeSize ? w2.computeSize(widget_width2)[1] : H) + 4;\n        ctx.globalAlpha = this.editor_alpha;\n      }\n      ctx.restore();\n      ctx.textAlign = \"left\";\n    }\n    /**\n         * process an event on widgets\n         * @method processNodeWidgets\n         **/\n    processNodeWidgets(node, pos, event, active_widget) {\n      if (!node.widgets || !node.widgets.length || !this.allow_interaction && !node.flags.allow_interaction) {\n        return null;\n      }\n      var x = pos[0] - node.pos[0];\n      var y = pos[1] - node.pos[1];\n      var width = node.size[0];\n      var that = this;\n      var ref_window = this.getCanvasWindow();\n      for (var i = 0; i < node.widgets.length; ++i) {\n        var w = node.widgets[i];\n        if (!w || w.disabled)\n          continue;\n        var widget_height = w.computeSize ? w.computeSize(width)[1] : LiteGraph.NODE_WIDGET_HEIGHT;\n        var widget_width = w.width || width;\n        if (w != active_widget && (x < 6 || x > widget_width - 12 || y < w.last_y || y > w.last_y + widget_height || w.last_y === void 0))\n          continue;\n        var old_value = w.value;\n        switch (w.type) {\n          case \"button\":\n            if (event.type === LiteGraph.pointerevents_method + \"down\") {\n              if (w.callback) {\n                setTimeout(function() {\n                  w.callback(w, that, node, pos, event);\n                }, 20);\n              }\n              w.clicked = true;\n              this.dirty_canvas = true;\n            }\n            break;\n          case \"slider\":\n            var old_value = w.value;\n            var nvalue = clamp((x - 15) / (widget_width - 30), 0, 1);\n            if (w.options.read_only) break;\n            w.value = w.options.min + (w.options.max - w.options.min) * nvalue;\n            if (old_value != w.value) {\n              setTimeout(function() {\n                inner_value_change(w, w.value);\n              }, 20);\n            }\n            this.dirty_canvas = true;\n            break;\n          case \"number\":\n          case \"combo\":\n            var old_value = w.value;\n            var delta = x < 40 ? -1 : x > widget_width - 40 ? 1 : 0;\n            var allow_scroll = true;\n            if (delta) {\n              if (x > -3 && x < widget_width + 3) {\n                allow_scroll = false;\n              }\n            }\n            if (allow_scroll && event.type == LiteGraph.pointerevents_method + \"move\" && w.type == \"number\") {\n              if (event.deltaX)\n                w.value += event.deltaX * 0.1 * (w.options.step || 1);\n              if (w.options.min != null && w.value < w.options.min) {\n                w.value = w.options.min;\n              }\n              if (w.options.max != null && w.value > w.options.max) {\n                w.value = w.options.max;\n              }\n            } else if (event.type == LiteGraph.pointerevents_method + \"down\") {\n              var values = w.options.values;\n              if (values && values.constructor === Function) {\n                values = w.options.values(w, node);\n              }\n              var values_list = null;\n              if (w.type != \"number\")\n                values_list = values.constructor === Array ? values : Object.keys(values);\n              var delta = x < 40 ? -1 : x > widget_width - 40 ? 1 : 0;\n              if (w.type == \"number\") {\n                w.value += delta * 0.1 * (w.options.step || 1);\n                if (w.options.min != null && w.value < w.options.min) {\n                  w.value = w.options.min;\n                }\n                if (w.options.max != null && w.value > w.options.max) {\n                  w.value = w.options.max;\n                }\n              } else if (delta) {\n                var index = -1;\n                this.last_mouseclick = 0;\n                if (values.constructor === Object)\n                  index = values_list.indexOf(String(w.value)) + delta;\n                else\n                  index = values_list.indexOf(w.value) + delta;\n                if (index >= values_list.length) {\n                  index = values_list.length - 1;\n                }\n                if (index < 0) {\n                  index = 0;\n                }\n                if (values.constructor === Array)\n                  w.value = values[index];\n                else\n                  w.value = index;\n              } else {\n                let inner_clicked = function(v2, option, event2) {\n                  if (values != values_list)\n                    v2 = text_values.indexOf(v2);\n                  this.value = v2;\n                  inner_value_change(this, v2);\n                  that.dirty_canvas = true;\n                  return false;\n                };\n                var text_values = values != values_list ? Object.values(values) : values;\n                new LiteGraph.ContextMenu(\n                  text_values,\n                  {\n                    scale: Math.max(1, this.ds.scale),\n                    event,\n                    className: \"dark\",\n                    callback: inner_clicked.bind(w)\n                  },\n                  ref_window\n                );\n              }\n            } else if (event.type == LiteGraph.pointerevents_method + \"up\" && w.type == \"number\") {\n              var delta = x < 40 ? -1 : x > widget_width - 40 ? 1 : 0;\n              if (event.click_time < 200 && delta == 0) {\n                this.prompt(\n                  \"Value\",\n                  w.value,\n                  (function(v) {\n                    if (/^[0-9+\\-*/()\\s]+|\\d+\\.\\d+$/.test(v)) {\n                      try {\n                        v = eval(v);\n                      } catch (e) {\n                      }\n                    }\n                    this.value = Number(v);\n                    inner_value_change(this, this.value);\n                  }).bind(w),\n                  event\n                );\n              }\n            }\n            if (old_value != w.value)\n              setTimeout(\n                (function() {\n                  inner_value_change(this, this.value);\n                }).bind(w),\n                20\n              );\n            this.dirty_canvas = true;\n            break;\n          case \"toggle\":\n            if (event.type == LiteGraph.pointerevents_method + \"down\") {\n              w.value = !w.value;\n              setTimeout(function() {\n                inner_value_change(w, w.value);\n              }, 20);\n            }\n            break;\n          case \"string\":\n          case \"text\":\n            if (event.type == LiteGraph.pointerevents_method + \"down\") {\n              this.prompt(\n                \"Value\",\n                w.value,\n                (function(v2) {\n                  inner_value_change(this, v2);\n                }).bind(w),\n                event,\n                w.options ? w.options.multiline : false\n              );\n            }\n            break;\n          default:\n            if (w.mouse) {\n              this.dirty_canvas = w.mouse(event, [x, y], node);\n            }\n            break;\n        }\n        if (old_value != w.value) {\n          if (node.onWidgetChanged)\n            node.onWidgetChanged(w.name, w.value, old_value, w);\n          node.graph._version++;\n        }\n        return w;\n      }\n      function inner_value_change(widget, value) {\n        if (widget.type == \"number\") {\n          value = Number(value);\n        }\n        widget.value = value;\n        if (widget.options && widget.options.property && node.properties[widget.options.property] !== void 0) {\n          node.setProperty(widget.options.property, value);\n        }\n        if (widget.callback) {\n          widget.callback(widget.value, that, node, pos, event);\n        }\n      }\n      return null;\n    }\n    /**\n         * draws every group area in the background\n         * @method drawGroups\n         **/\n    drawGroups(canvas, ctx) {\n      if (!this.graph) {\n        return;\n      }\n      var groups = this.graph._groups;\n      ctx.save();\n      ctx.globalAlpha = 0.5 * this.editor_alpha;\n      for (var i2 = 0; i2 < groups.length; ++i2) {\n        var group = groups[i2];\n        if (!overlapBounding(this.visible_area, group._bounding)) {\n          continue;\n        }\n        ctx.fillStyle = group.color || \"#335\";\n        ctx.strokeStyle = group.color || \"#335\";\n        var pos2 = group._pos;\n        var size = group._size;\n        ctx.globalAlpha = 0.25 * this.editor_alpha;\n        ctx.beginPath();\n        ctx.rect(pos2[0] + 0.5, pos2[1] + 0.5, size[0], size[1]);\n        ctx.fill();\n        ctx.globalAlpha = this.editor_alpha;\n        ctx.stroke();\n        ctx.beginPath();\n        ctx.moveTo(pos2[0] + size[0], pos2[1] + size[1]);\n        ctx.lineTo(pos2[0] + size[0] - 10, pos2[1] + size[1]);\n        ctx.lineTo(pos2[0] + size[0], pos2[1] + size[1] - 10);\n        ctx.fill();\n        var font_size = group.font_size || LiteGraph.DEFAULT_GROUP_FONT_SIZE;\n        ctx.font = font_size + \"px Arial\";\n        ctx.textAlign = \"left\";\n        ctx.fillText(group.title, pos2[0] + 4, pos2[1] + font_size);\n      }\n      ctx.restore();\n    }\n    adjustNodesSize() {\n      var nodes = this.graph._nodes;\n      for (var i2 = 0; i2 < nodes.length; ++i2) {\n        nodes[i2].size = nodes[i2].computeSize();\n      }\n      this.setDirty(true, true);\n    }\n    /**\n         * resizes the canvas to a given size, if no size is passed, then it tries to fill the parentNode\n         * @method resize\n         **/\n    resize(width2, height) {\n      if (!width2 && !height) {\n        var parent = this.canvas.parentNode;\n        width2 = parent.offsetWidth;\n        height = parent.offsetHeight;\n      }\n      if (this.canvas.width == width2 && this.canvas.height == height) {\n        return;\n      }\n      this.canvas.width = width2;\n      this.canvas.height = height;\n      this.bgcanvas.width = this.canvas.width;\n      this.bgcanvas.height = this.canvas.height;\n      this.setDirty(true, true);\n    }\n    /**\n         * switches to live mode (node shapes are not rendered, only the content)\n         * this feature was designed when graphs where meant to create user interfaces\n         * @method switchLiveMode\n         **/\n    switchLiveMode(transition) {\n      if (!transition) {\n        this.live_mode = !this.live_mode;\n        this.dirty_canvas = true;\n        this.dirty_bgcanvas = true;\n        return;\n      }\n      var self = this;\n      var delta2 = this.live_mode ? 1.1 : 0.9;\n      if (this.live_mode) {\n        this.live_mode = false;\n        this.editor_alpha = 0.1;\n      }\n      var t = setInterval(function() {\n        self.editor_alpha *= delta2;\n        self.dirty_canvas = true;\n        self.dirty_bgcanvas = true;\n        if (delta2 < 1 && self.editor_alpha < 0.01) {\n          clearInterval(t);\n          if (delta2 < 1) {\n            self.live_mode = true;\n          }\n        }\n        if (delta2 > 1 && self.editor_alpha > 0.99) {\n          clearInterval(t);\n          self.editor_alpha = 1;\n        }\n      }, 1);\n    }\n    onNodeSelectionChange(node2) {\n      return;\n    }\n    /**\n         * Determines the furthest nodes in each direction for the currently selected nodes\n         * @return {{left: LGraphNode, top: LGraphNode, right: LGraphNode, bottom: LGraphNode}}\n         */\n    boundaryNodesForSelection() {\n      return _LGraphCanvas.getBoundaryNodes(Object.values(this.selected_nodes));\n    }\n    showLinkMenu(link, e) {\n      var that2 = this;\n      var node_left = that2.graph.getNodeById(link.origin_id);\n      var node_right = that2.graph.getNodeById(link.target_id);\n      var fromType = false;\n      if (node_left && node_left.outputs && node_left.outputs[link.origin_slot]) fromType = node_left.outputs[link.origin_slot].type;\n      var destType = false;\n      if (node_right && node_right.outputs && node_right.outputs[link.target_slot]) destType = node_right.inputs[link.target_slot].type;\n      var options = [\"Add Node\", null, \"Delete\", null];\n      var menu = new LiteGraph.ContextMenu(options, {\n        event: e,\n        title: link.data != null ? link.data.constructor.name : null,\n        callback: inner_clicked\n      });\n      function inner_clicked(v2, options2, e2) {\n        switch (v2) {\n          case \"Add Node\":\n            _LGraphCanvas.onMenuAdd(null, null, e2, menu, function(node2) {\n              if (!node2.inputs || !node2.inputs.length || !node2.outputs || !node2.outputs.length) {\n                return;\n              }\n              if (node_left.connectByType(link.origin_slot, node2, fromType)) {\n                node2.connectByType(link.target_slot, node_right, destType);\n                node2.pos[0] -= node2.size[0] * 0.5;\n              }\n            });\n            break;\n          case \"Delete\":\n            that2.graph.removeLink(link.id);\n            break;\n        }\n      }\n      return false;\n    }\n    createDefaultNodeForSlot(optPass) {\n      var optPass = optPass || {};\n      var opts = Object.assign(\n        {\n          nodeFrom: null,\n          slotFrom: null,\n          nodeTo: null,\n          slotTo: null,\n          position: [],\n          nodeType: null,\n          posAdd: [0, 0],\n          posSizeFix: [0, 0]\n          // alpha, adjust the position x,y based on the new node size w,h\n        },\n        optPass\n      );\n      var that2 = this;\n      var isFrom = opts.nodeFrom && opts.slotFrom !== null;\n      var isTo = !isFrom && opts.nodeTo && opts.slotTo !== null;\n      if (!isFrom && !isTo) {\n        console.warn(\"No data passed to createDefaultNodeForSlot \" + opts.nodeFrom + \" \" + opts.slotFrom + \" \" + opts.nodeTo + \" \" + opts.slotTo);\n        return false;\n      }\n      if (!opts.nodeType) {\n        console.warn(\"No type to createDefaultNodeForSlot\");\n        return false;\n      }\n      var nodeX = isFrom ? opts.nodeFrom : opts.nodeTo;\n      var slotX = isFrom ? opts.slotFrom : opts.slotTo;\n      var iSlotConn = false;\n      switch (typeof slotX) {\n        case \"string\":\n          iSlotConn = isFrom ? nodeX.findOutputSlot(slotX, false) : nodeX.findInputSlot(slotX, false);\n          slotX = isFrom ? nodeX.outputs[slotX] : nodeX.inputs[slotX];\n          break;\n        case \"object\":\n          iSlotConn = isFrom ? nodeX.findOutputSlot(slotX.name) : nodeX.findInputSlot(slotX.name);\n          break;\n        case \"number\":\n          iSlotConn = slotX;\n          slotX = isFrom ? nodeX.outputs[slotX] : nodeX.inputs[slotX];\n          break;\n        case \"undefined\":\n        default:\n          console.warn(\"Cant get slot information \" + slotX);\n          return false;\n      }\n      if (slotX === false || iSlotConn === false) {\n        console.warn(\"createDefaultNodeForSlot bad slotX \" + slotX + \" \" + iSlotConn);\n      }\n      var fromSlotType = slotX.type == LiteGraph.EVENT ? \"_event_\" : slotX.type;\n      var slotTypesDefault = isFrom ? LiteGraph.slot_types_default_out : LiteGraph.slot_types_default_in;\n      if (slotTypesDefault && slotTypesDefault[fromSlotType]) {\n        if (slotX.link !== null) ;\n        let nodeNewType = false;\n        if (typeof slotTypesDefault[fromSlotType] == \"object\" || typeof slotTypesDefault[fromSlotType] == \"array\") {\n          for (var typeX in slotTypesDefault[fromSlotType]) {\n            if (opts.nodeType == slotTypesDefault[fromSlotType][typeX] || opts.nodeType == \"AUTO\") {\n              nodeNewType = slotTypesDefault[fromSlotType][typeX];\n              break;\n            }\n          }\n        } else {\n          if (opts.nodeType == slotTypesDefault[fromSlotType] || opts.nodeType == \"AUTO\") nodeNewType = slotTypesDefault[fromSlotType];\n        }\n        if (nodeNewType) {\n          var nodeNewOpts = false;\n          if (typeof nodeNewType == \"object\" && nodeNewType.node) {\n            nodeNewOpts = nodeNewType;\n            nodeNewType = nodeNewType.node;\n          }\n          var newNode = LiteGraph.createNode(nodeNewType);\n          if (newNode) {\n            if (nodeNewOpts) {\n              if (nodeNewOpts.properties) {\n                for (var i2 in nodeNewOpts.properties) {\n                  newNode.addProperty(i2, nodeNewOpts.properties[i2]);\n                }\n              }\n              if (nodeNewOpts.inputs) {\n                newNode.inputs = [];\n                for (var i2 in nodeNewOpts.inputs) {\n                  newNode.addOutput(\n                    nodeNewOpts.inputs[i2][0],\n                    nodeNewOpts.inputs[i2][1]\n                  );\n                }\n              }\n              if (nodeNewOpts.outputs) {\n                newNode.outputs = [];\n                for (var i2 in nodeNewOpts.outputs) {\n                  newNode.addOutput(\n                    nodeNewOpts.outputs[i2][0],\n                    nodeNewOpts.outputs[i2][1]\n                  );\n                }\n              }\n              if (nodeNewOpts.title) {\n                newNode.title = nodeNewOpts.title;\n              }\n              if (nodeNewOpts.json) {\n                newNode.configure(nodeNewOpts.json);\n              }\n            }\n            that2.graph.add(newNode);\n            newNode.pos = [\n              opts.position[0] + opts.posAdd[0] + (opts.posSizeFix[0] ? opts.posSizeFix[0] * newNode.size[0] : 0),\n              opts.position[1] + opts.posAdd[1] + (opts.posSizeFix[1] ? opts.posSizeFix[1] * newNode.size[1] : 0)\n            ];\n            if (isFrom) {\n              opts.nodeFrom.connectByType(iSlotConn, newNode, fromSlotType);\n            } else {\n              opts.nodeTo.connectByTypeOutput(iSlotConn, newNode, fromSlotType);\n            }\n            return true;\n          } else {\n            console.log(\"failed creating \" + nodeNewType);\n          }\n        }\n      }\n      return false;\n    }\n    showConnectionMenu(optPass) {\n      var optPass = optPass || {};\n      var opts = Object.assign(\n        {\n          nodeFrom: null,\n          slotFrom: null,\n          nodeTo: null,\n          slotTo: null,\n          e: null\n        },\n        optPass\n      );\n      var that2 = this;\n      var isFrom = opts.nodeFrom && opts.slotFrom;\n      var isTo = !isFrom && opts.nodeTo && opts.slotTo;\n      if (!isFrom && !isTo) {\n        console.warn(\"No data passed to showConnectionMenu\");\n        return false;\n      }\n      var nodeX = isFrom ? opts.nodeFrom : opts.nodeTo;\n      var slotX = isFrom ? opts.slotFrom : opts.slotTo;\n      var iSlotConn = false;\n      switch (typeof slotX) {\n        case \"string\":\n          iSlotConn = isFrom ? nodeX.findOutputSlot(slotX, false) : nodeX.findInputSlot(slotX, false);\n          slotX = isFrom ? nodeX.outputs[slotX] : nodeX.inputs[slotX];\n          break;\n        case \"object\":\n          iSlotConn = isFrom ? nodeX.findOutputSlot(slotX.name) : nodeX.findInputSlot(slotX.name);\n          break;\n        case \"number\":\n          iSlotConn = slotX;\n          slotX = isFrom ? nodeX.outputs[slotX] : nodeX.inputs[slotX];\n          break;\n        default:\n          console.warn(\"Cant get slot information \" + slotX);\n          return false;\n      }\n      var options = [\"Add Node\", null];\n      if (that2.allow_searchbox) {\n        options.push(\"Search\");\n        options.push(null);\n      }\n      var fromSlotType = slotX.type == LiteGraph.EVENT ? \"_event_\" : slotX.type;\n      var slotTypesDefault = isFrom ? LiteGraph.slot_types_default_out : LiteGraph.slot_types_default_in;\n      if (slotTypesDefault && slotTypesDefault[fromSlotType]) {\n        if (typeof slotTypesDefault[fromSlotType] == \"object\" || typeof slotTypesDefault[fromSlotType] == \"array\") {\n          for (var typeX in slotTypesDefault[fromSlotType]) {\n            options.push(slotTypesDefault[fromSlotType][typeX]);\n          }\n        } else {\n          options.push(slotTypesDefault[fromSlotType]);\n        }\n      }\n      var menu = new LiteGraph.ContextMenu(options, {\n        event: opts.e,\n        title: (slotX && slotX.name != \"\" ? slotX.name + (fromSlotType ? \" | \" : \"\") : \"\") + (slotX && fromSlotType ? fromSlotType : \"\"),\n        callback: inner_clicked\n      });\n      function inner_clicked(v2, options2, e) {\n        switch (v2) {\n          case \"Add Node\":\n            _LGraphCanvas.onMenuAdd(null, null, e, menu, function(node2) {\n              if (isFrom) {\n                opts.nodeFrom.connectByType(iSlotConn, node2, fromSlotType);\n              } else {\n                opts.nodeTo.connectByTypeOutput(iSlotConn, node2, fromSlotType);\n              }\n            });\n            break;\n          case \"Search\":\n            if (isFrom) {\n              that2.showSearchBox(e, { node_from: opts.nodeFrom, slot_from: slotX, type_filter_in: fromSlotType });\n            } else {\n              that2.showSearchBox(e, { node_to: opts.nodeTo, slot_from: slotX, type_filter_out: fromSlotType });\n            }\n            break;\n          default:\n            that2.createDefaultNodeForSlot(Object.assign(opts, {\n              position: [opts.e.canvasX, opts.e.canvasY],\n              nodeType: v2\n            }));\n            break;\n        }\n      }\n      return false;\n    }\n    // refactor: there are different dialogs, some uses createDialog some dont\n    prompt(title, value, callback, event2, multiline) {\n      var that2 = this;\n      title = title || \"\";\n      var dialog = document.createElement(\"div\");\n      dialog.is_modified = false;\n      dialog.className = \"graphdialog rounded\";\n      if (multiline)\n        dialog.innerHTML = \"<span class='name'></span> <textarea autofocus class='value'></textarea><button class='rounded'>OK</button>\";\n      else\n        dialog.innerHTML = \"<span class='name'></span> <input autofocus type='text' class='value'/><button class='rounded'>OK</button>\";\n      dialog.close = function() {\n        that2.prompt_box = null;\n        if (dialog.parentNode) {\n          dialog.parentNode.removeChild(dialog);\n        }\n      };\n      var graphcanvas = _LGraphCanvas.active_canvas;\n      var canvas = graphcanvas.canvas;\n      canvas.parentNode.appendChild(dialog);\n      if (this.ds.scale > 1) {\n        dialog.style.transform = \"scale(\" + this.ds.scale + \")\";\n      }\n      var dialogCloseTimer = null;\n      var prevent_timeout = false;\n      LiteGraph.pointerListenerAdd(dialog, \"leave\", function(e) {\n        if (prevent_timeout)\n          return;\n        if (LiteGraph.dialog_close_on_mouse_leave) {\n          if (!dialog.is_modified && LiteGraph.dialog_close_on_mouse_leave)\n            dialogCloseTimer = setTimeout(dialog.close, LiteGraph.dialog_close_on_mouse_leave_delay);\n        }\n      });\n      LiteGraph.pointerListenerAdd(dialog, \"enter\", function(e) {\n        if (LiteGraph.dialog_close_on_mouse_leave) {\n          if (dialogCloseTimer) clearTimeout(dialogCloseTimer);\n        }\n      });\n      var selInDia = dialog.querySelectorAll(\"select\");\n      if (selInDia) {\n        selInDia.forEach(function(selIn) {\n          selIn.addEventListener(\"click\", function(e) {\n            prevent_timeout++;\n          });\n          selIn.addEventListener(\"blur\", function(e) {\n            prevent_timeout = 0;\n          });\n          selIn.addEventListener(\"change\", function(e) {\n            prevent_timeout = -1;\n          });\n        });\n      }\n      if (that2.prompt_box) {\n        that2.prompt_box.close();\n      }\n      that2.prompt_box = dialog;\n      var name_element = dialog.querySelector(\".name\");\n      name_element.innerText = title;\n      var value_element = dialog.querySelector(\".value\");\n      value_element.value = value;\n      value_element.select();\n      var input = value_element;\n      input.addEventListener(\"keydown\", function(e) {\n        dialog.is_modified = true;\n        if (e.keyCode == 27) {\n          dialog.close();\n        } else if (e.keyCode == 13 && e.target.localName != \"textarea\") {\n          if (callback) {\n            callback(this.value);\n          }\n          dialog.close();\n        } else {\n          return;\n        }\n        e.preventDefault();\n        e.stopPropagation();\n      });\n      var button = dialog.querySelector(\"button\");\n      button.addEventListener(\"click\", function(e) {\n        if (callback) {\n          callback(input.value);\n        }\n        that2.setDirty(true);\n        dialog.close();\n      });\n      var rect = canvas.getBoundingClientRect();\n      var offsetx = -20;\n      var offsety = -20;\n      if (rect) {\n        offsetx -= rect.left;\n        offsety -= rect.top;\n      }\n      if (event2) {\n        dialog.style.left = event2.clientX + offsetx + \"px\";\n        dialog.style.top = event2.clientY + offsety + \"px\";\n      } else {\n        dialog.style.left = canvas.width * 0.5 + offsetx + \"px\";\n        dialog.style.top = canvas.height * 0.5 + offsety + \"px\";\n      }\n      setTimeout(function() {\n        input.focus();\n        const clickTime = Date.now();\n        function handleOutsideClick(e) {\n          if (e.target === canvas && Date.now() - clickTime > 256) {\n            dialog.close();\n            canvas.parentNode.removeEventListener(\"click\", handleOutsideClick);\n            canvas.parentNode.removeEventListener(\"touchend\", handleOutsideClick);\n          }\n        }\n        canvas.parentNode.addEventListener(\"click\", handleOutsideClick);\n        canvas.parentNode.addEventListener(\"touchend\", handleOutsideClick);\n      }, 10);\n      return dialog;\n    }\n    showSearchBox(event2, options) {\n      var def_options = {\n        slot_from: null,\n        node_from: null,\n        node_to: null,\n        do_type_filter: LiteGraph.search_filter_enabled,\n        type_filter_in: false,\n        type_filter_out: false,\n        show_general_if_none_on_typefilter: true,\n        show_general_after_typefiltered: true,\n        hide_on_mouse_leave: LiteGraph.search_hide_on_mouse_leave,\n        show_all_if_empty: true,\n        show_all_on_open: LiteGraph.search_show_all_on_open\n      };\n      options = Object.assign(def_options, options || {});\n      var that2 = this;\n      var graphcanvas = _LGraphCanvas.active_canvas;\n      var canvas = graphcanvas.canvas;\n      var root_document = canvas.ownerDocument || document;\n      var dialog = document.createElement(\"div\");\n      dialog.className = \"litegraph litesearchbox graphdialog rounded\";\n      dialog.innerHTML = \"<span class='name'>Search</span> <input autofocus type='text' class='value rounded'/>\";\n      if (options.do_type_filter) {\n        dialog.innerHTML += \"<select class='slot_in_type_filter'><option value=''></option></select>\";\n        dialog.innerHTML += \"<select class='slot_out_type_filter'><option value=''></option></select>\";\n      }\n      dialog.innerHTML += \"<div class='helper'></div>\";\n      if (root_document.fullscreenElement)\n        root_document.fullscreenElement.appendChild(dialog);\n      else {\n        root_document.body.appendChild(dialog);\n        root_document.body.style.overflow = \"hidden\";\n      }\n      if (options.do_type_filter) {\n        var selIn = dialog.querySelector(\".slot_in_type_filter\");\n        var selOut = dialog.querySelector(\".slot_out_type_filter\");\n      }\n      dialog.close = function() {\n        that2.search_box = null;\n        this.blur();\n        canvas.focus();\n        root_document.body.style.overflow = \"\";\n        setTimeout(function() {\n          that2.canvas.focus();\n        }, 20);\n        if (dialog.parentNode) {\n          dialog.parentNode.removeChild(dialog);\n        }\n      };\n      if (this.ds.scale > 1) {\n        dialog.style.transform = \"scale(\" + this.ds.scale + \")\";\n      }\n      if (options.hide_on_mouse_leave) {\n        var prevent_timeout = false;\n        var timeout_close = null;\n        LiteGraph.pointerListenerAdd(dialog, \"enter\", function(e) {\n          if (timeout_close) {\n            clearTimeout(timeout_close);\n            timeout_close = null;\n          }\n        });\n        LiteGraph.pointerListenerAdd(dialog, \"leave\", function(e) {\n          if (prevent_timeout) {\n            return;\n          }\n          timeout_close = setTimeout(function() {\n            dialog.close();\n          }, typeof options.hide_on_mouse_leave === \"number\" ? options.hide_on_mouse_leave : 500);\n        });\n        if (options.do_type_filter) {\n          selIn.addEventListener(\"click\", function(e) {\n            prevent_timeout++;\n          });\n          selIn.addEventListener(\"blur\", function(e) {\n            prevent_timeout = 0;\n          });\n          selIn.addEventListener(\"change\", function(e) {\n            prevent_timeout = -1;\n          });\n          selOut.addEventListener(\"click\", function(e) {\n            prevent_timeout++;\n          });\n          selOut.addEventListener(\"blur\", function(e) {\n            prevent_timeout = 0;\n          });\n          selOut.addEventListener(\"change\", function(e) {\n            prevent_timeout = -1;\n          });\n        }\n      }\n      if (that2.search_box) {\n        that2.search_box.close();\n      }\n      that2.search_box = dialog;\n      var helper = dialog.querySelector(\".helper\");\n      var first = null;\n      var timeout = null;\n      var selected = null;\n      var input = dialog.querySelector(\"input\");\n      if (input) {\n        input.addEventListener(\"blur\", function(e) {\n          this.focus();\n        });\n        input.addEventListener(\"keydown\", function(e) {\n          if (e.keyCode == 38) {\n            changeSelection(false);\n          } else if (e.keyCode == 40) {\n            changeSelection(true);\n          } else if (e.keyCode == 27) {\n            dialog.close();\n          } else if (e.keyCode == 13) {\n            if (selected) {\n              select(unescape(selected.dataset[\"type\"]));\n            } else if (first) {\n              select(first);\n            } else {\n              dialog.close();\n            }\n          } else {\n            if (timeout) {\n              clearInterval(timeout);\n            }\n            timeout = setTimeout(refreshHelper, 10);\n            return;\n          }\n          e.preventDefault();\n          e.stopPropagation();\n          e.stopImmediatePropagation();\n          return true;\n        });\n      }\n      if (options.do_type_filter) {\n        if (selIn) {\n          var aSlots = LiteGraph.slot_types_in;\n          var nSlots = aSlots.length;\n          if (options.type_filter_in == LiteGraph.EVENT || options.type_filter_in == LiteGraph.ACTION)\n            options.type_filter_in = \"_event_\";\n          for (var iK = 0; iK < nSlots; iK++) {\n            var opt = document.createElement(\"option\");\n            opt.value = aSlots[iK];\n            opt.innerHTML = aSlots[iK];\n            selIn.appendChild(opt);\n            if (options.type_filter_in !== false && (options.type_filter_in + \"\").toLowerCase() == (aSlots[iK] + \"\").toLowerCase()) {\n              opt.selected = true;\n            }\n          }\n          selIn.addEventListener(\"change\", function() {\n            refreshHelper();\n          });\n        }\n        if (selOut) {\n          var aSlots = LiteGraph.slot_types_out;\n          var nSlots = aSlots.length;\n          if (options.type_filter_out == LiteGraph.EVENT || options.type_filter_out == LiteGraph.ACTION)\n            options.type_filter_out = \"_event_\";\n          for (var iK = 0; iK < nSlots; iK++) {\n            var opt = document.createElement(\"option\");\n            opt.value = aSlots[iK];\n            opt.innerHTML = aSlots[iK];\n            selOut.appendChild(opt);\n            if (options.type_filter_out !== false && (options.type_filter_out + \"\").toLowerCase() == (aSlots[iK] + \"\").toLowerCase()) {\n              opt.selected = true;\n            }\n          }\n          selOut.addEventListener(\"change\", function() {\n            refreshHelper();\n          });\n        }\n      }\n      var rect = canvas.getBoundingClientRect();\n      var left = (event2 ? event2.clientX : rect.left + rect.width * 0.5) - 80;\n      var top = (event2 ? event2.clientY : rect.top + rect.height * 0.5) - 20;\n      dialog.style.left = left + \"px\";\n      dialog.style.top = top + \"px\";\n      if (event2.layerY > rect.height - 200)\n        helper.style.maxHeight = rect.height - event2.layerY - 20 + \"px\";\n      input.focus();\n      if (options.show_all_on_open) refreshHelper();\n      function select(name) {\n        if (name) {\n          if (that2.onSearchBoxSelection) {\n            that2.onSearchBoxSelection(name, event2, graphcanvas);\n          } else {\n            var extra = LiteGraph.searchbox_extras[name.toLowerCase()];\n            if (extra) {\n              name = extra.type;\n            }\n            graphcanvas.graph.beforeChange();\n            var node2 = LiteGraph.createNode(name);\n            if (node2) {\n              node2.pos = graphcanvas.convertEventToCanvasOffset(\n                event2\n              );\n              graphcanvas.graph.add(node2, false);\n            }\n            if (extra && extra.data) {\n              if (extra.data.properties) {\n                for (var i2 in extra.data.properties) {\n                  node2.addProperty(i2, extra.data.properties[i2]);\n                }\n              }\n              if (extra.data.inputs) {\n                node2.inputs = [];\n                for (var i2 in extra.data.inputs) {\n                  node2.addOutput(\n                    extra.data.inputs[i2][0],\n                    extra.data.inputs[i2][1]\n                  );\n                }\n              }\n              if (extra.data.outputs) {\n                node2.outputs = [];\n                for (var i2 in extra.data.outputs) {\n                  node2.addOutput(\n                    extra.data.outputs[i2][0],\n                    extra.data.outputs[i2][1]\n                  );\n                }\n              }\n              if (extra.data.title) {\n                node2.title = extra.data.title;\n              }\n              if (extra.data.json) {\n                node2.configure(extra.data.json);\n              }\n            }\n            if (options.node_from) {\n              var iS = false;\n              switch (typeof options.slot_from) {\n                case \"string\":\n                  iS = options.node_from.findOutputSlot(options.slot_from);\n                  break;\n                case \"object\":\n                  if (options.slot_from.name) {\n                    iS = options.node_from.findOutputSlot(options.slot_from.name);\n                  } else {\n                    iS = -1;\n                  }\n                  if (iS == -1 && typeof options.slot_from.slot_index !== \"undefined\") iS = options.slot_from.slot_index;\n                  break;\n                case \"number\":\n                  iS = options.slot_from;\n                  break;\n                default:\n                  iS = 0;\n              }\n              if (typeof options.node_from.outputs[iS] !== \"undefined\") {\n                if (iS !== false && iS > -1) {\n                  options.node_from.connectByType(iS, node2, options.node_from.outputs[iS].type);\n                }\n              }\n            }\n            if (options.node_to) {\n              var iS = false;\n              switch (typeof options.slot_from) {\n                case \"string\":\n                  iS = options.node_to.findInputSlot(options.slot_from);\n                  break;\n                case \"object\":\n                  if (options.slot_from.name) {\n                    iS = options.node_to.findInputSlot(options.slot_from.name);\n                  } else {\n                    iS = -1;\n                  }\n                  if (iS == -1 && typeof options.slot_from.slot_index !== \"undefined\") iS = options.slot_from.slot_index;\n                  break;\n                case \"number\":\n                  iS = options.slot_from;\n                  break;\n                default:\n                  iS = 0;\n              }\n              if (typeof options.node_to.inputs[iS] !== \"undefined\") {\n                if (iS !== false && iS > -1) {\n                  options.node_to.connectByTypeOutput(iS, node2, options.node_to.inputs[iS].type);\n                }\n              }\n            }\n            graphcanvas.graph.afterChange();\n          }\n        }\n        dialog.close();\n      }\n      function changeSelection(forward) {\n        var prev = selected;\n        if (selected) {\n          selected.classList.remove(\"selected\");\n        }\n        if (!selected) {\n          selected = forward ? helper.childNodes[0] : helper.childNodes[helper.childNodes.length];\n        } else {\n          selected = forward ? selected.nextSibling : selected.previousSibling;\n          if (!selected) {\n            selected = prev;\n          }\n        }\n        if (!selected) {\n          return;\n        }\n        selected.classList.add(\"selected\");\n        selected.scrollIntoView({ block: \"end\", behavior: \"smooth\" });\n      }\n      function refreshHelper() {\n        timeout = null;\n        var str = input.value;\n        first = null;\n        helper.innerHTML = \"\";\n        if (!str && !options.show_all_if_empty) {\n          return;\n        }\n        if (that2.onSearchBox) {\n          var list = that2.onSearchBox(helper, str, graphcanvas);\n          if (list) {\n            for (var i2 = 0; i2 < list.length; ++i2) {\n              addResult(list[i2]);\n            }\n          }\n        } else {\n          let inner_test_filter = function(type, optsIn) {\n            var optsIn = optsIn || {};\n            var optsDef = {\n              skipFilter: false,\n              inTypeOverride: false,\n              outTypeOverride: false\n            };\n            var opts = Object.assign(optsDef, optsIn);\n            var ctor2 = LiteGraph.registered_node_types[type];\n            if (filter && ctor2.filter != filter)\n              return false;\n            if ((!options.show_all_if_empty || str) && type.toLowerCase().indexOf(str) === -1 && (!ctor2.title || ctor2.title.toLowerCase().indexOf(str) === -1))\n              return false;\n            if (options.do_type_filter && !opts.skipFilter) {\n              var sType = type;\n              var sV = sIn.value;\n              if (opts.inTypeOverride !== false) sV = opts.inTypeOverride;\n              if (sIn && sV) {\n                if (LiteGraph.registered_slot_in_types[sV] && LiteGraph.registered_slot_in_types[sV].nodes) {\n                  var doesInc = LiteGraph.registered_slot_in_types[sV].nodes.includes(sType);\n                  if (doesInc !== false) ;\n                  else {\n                    return false;\n                  }\n                }\n              }\n              var sV = sOut.value;\n              if (opts.outTypeOverride !== false) sV = opts.outTypeOverride;\n              if (sOut && sV) {\n                if (LiteGraph.registered_slot_out_types[sV] && LiteGraph.registered_slot_out_types[sV].nodes) {\n                  var doesInc = LiteGraph.registered_slot_out_types[sV].nodes.includes(sType);\n                  if (doesInc !== false) ;\n                  else {\n                    return false;\n                  }\n                }\n              }\n            }\n            return true;\n          };\n          var c = 0;\n          str = str.toLowerCase();\n          var filter = graphcanvas.filter || graphcanvas.graph.filter;\n          if (options.do_type_filter && that2.search_box) {\n            var sIn = that2.search_box.querySelector(\".slot_in_type_filter\");\n            var sOut = that2.search_box.querySelector(\".slot_out_type_filter\");\n          } else {\n            var sIn = false;\n            var sOut = false;\n          }\n          for (var i2 in LiteGraph.searchbox_extras) {\n            var extra = LiteGraph.searchbox_extras[i2];\n            if ((!options.show_all_if_empty || str) && extra.desc.toLowerCase().indexOf(str) === -1) {\n              continue;\n            }\n            var ctor = LiteGraph.registered_node_types[extra.type];\n            if (ctor && ctor.filter != filter)\n              continue;\n            if (!inner_test_filter(extra.type))\n              continue;\n            addResult(extra.desc, \"searchbox_extra\");\n            if (_LGraphCanvas.search_limit !== -1 && c++ > _LGraphCanvas.search_limit) {\n              break;\n            }\n          }\n          var filtered = null;\n          if (Array.prototype.filter) {\n            var keys = Object.keys(LiteGraph.registered_node_types);\n            var filtered = keys.filter(inner_test_filter);\n          } else {\n            filtered = [];\n            for (var i2 in LiteGraph.registered_node_types) {\n              if (inner_test_filter(i2))\n                filtered.push(i2);\n            }\n          }\n          for (var i2 = 0; i2 < filtered.length; i2++) {\n            addResult(filtered[i2]);\n            if (_LGraphCanvas.search_limit !== -1 && c++ > _LGraphCanvas.search_limit) {\n              break;\n            }\n          }\n          if (options.show_general_after_typefiltered && (sIn.value || sOut.value)) {\n            filtered_extra = [];\n            for (var i2 in LiteGraph.registered_node_types) {\n              if (inner_test_filter(i2, { inTypeOverride: sIn && sIn.value ? \"*\" : false, outTypeOverride: sOut && sOut.value ? \"*\" : false }))\n                filtered_extra.push(i2);\n            }\n            for (var i2 = 0; i2 < filtered_extra.length; i2++) {\n              addResult(filtered_extra[i2], \"generic_type\");\n              if (_LGraphCanvas.search_limit !== -1 && c++ > _LGraphCanvas.search_limit) {\n                break;\n              }\n            }\n          }\n          if ((sIn.value || sOut.value) && (helper.childNodes.length == 0 && options.show_general_if_none_on_typefilter)) {\n            filtered_extra = [];\n            for (var i2 in LiteGraph.registered_node_types) {\n              if (inner_test_filter(i2, { skipFilter: true }))\n                filtered_extra.push(i2);\n            }\n            for (var i2 = 0; i2 < filtered_extra.length; i2++) {\n              addResult(filtered_extra[i2], \"not_in_filter\");\n              if (_LGraphCanvas.search_limit !== -1 && c++ > _LGraphCanvas.search_limit) {\n                break;\n              }\n            }\n          }\n        }\n        function addResult(type, className) {\n          var help = document.createElement(\"div\");\n          if (!first) {\n            first = type;\n          }\n          const nodeType = LiteGraph.registered_node_types[type];\n          if (nodeType == null ? void 0 : nodeType.title) {\n            help.innerText = nodeType == null ? void 0 : nodeType.title;\n            const typeEl = document.createElement(\"span\");\n            typeEl.className = \"litegraph lite-search-item-type\";\n            typeEl.textContent = type;\n            help.append(typeEl);\n          } else {\n            help.innerText = type;\n          }\n          help.dataset[\"type\"] = escape(type);\n          help.className = \"litegraph lite-search-item\";\n          if (className) {\n            help.className += \" \" + className;\n          }\n          help.addEventListener(\"click\", function(e) {\n            select(unescape(this.dataset[\"type\"]));\n          });\n          helper.appendChild(help);\n        }\n      }\n      return dialog;\n    }\n    showEditPropertyValue(node2, property, options) {\n      if (!node2 || node2.properties[property] === void 0) {\n        return;\n      }\n      options = options || {};\n      var info = node2.getPropertyInfo(property);\n      var type = info.type;\n      var input_html = \"\";\n      if (type == \"string\" || type == \"number\" || type == \"array\" || type == \"object\") {\n        input_html = \"<input autofocus type='text' class='value'/>\";\n      } else if ((type == \"enum\" || type == \"combo\") && info.values) {\n        input_html = \"<select autofocus type='text' class='value'>\";\n        for (var i2 in info.values) {\n          var v2 = i2;\n          if (info.values.constructor === Array)\n            v2 = info.values[i2];\n          input_html += \"<option value='\" + v2 + \"' \" + (v2 == node2.properties[property] ? \"selected\" : \"\") + \">\" + info.values[i2] + \"</option>\";\n        }\n        input_html += \"</select>\";\n      } else if (type == \"boolean\" || type == \"toggle\") {\n        input_html = \"<input autofocus type='checkbox' class='value' \" + (node2.properties[property] ? \"checked\" : \"\") + \"/>\";\n      } else {\n        console.warn(\"unknown type: \" + type);\n        return;\n      }\n      var dialog = this.createDialog(\n        \"<span class='name'>\" + (info.label ? info.label : property) + \"</span>\" + input_html + \"<button>OK</button>\",\n        options\n      );\n      var input = false;\n      if ((type == \"enum\" || type == \"combo\") && info.values) {\n        input = dialog.querySelector(\"select\");\n        input.addEventListener(\"change\", function(e) {\n          dialog.modified();\n          setValue(e.target.value);\n        });\n      } else if (type == \"boolean\" || type == \"toggle\") {\n        input = dialog.querySelector(\"input\");\n        if (input) {\n          input.addEventListener(\"click\", function(e) {\n            dialog.modified();\n            setValue(!!input.checked);\n          });\n        }\n      } else {\n        input = dialog.querySelector(\"input\");\n        if (input) {\n          input.addEventListener(\"blur\", function(e) {\n            this.focus();\n          });\n          var v2 = node2.properties[property] !== void 0 ? node2.properties[property] : \"\";\n          if (type !== \"string\") {\n            v2 = JSON.stringify(v2);\n          }\n          input.value = v2;\n          input.addEventListener(\"keydown\", function(e) {\n            if (e.keyCode == 27) {\n              dialog.close();\n            } else if (e.keyCode == 13) {\n              inner();\n            } else if (e.keyCode != 13) {\n              dialog.modified();\n              return;\n            }\n            e.preventDefault();\n            e.stopPropagation();\n          });\n        }\n      }\n      if (input) input.focus();\n      var button = dialog.querySelector(\"button\");\n      button.addEventListener(\"click\", inner);\n      function inner() {\n        setValue(input.value);\n      }\n      function setValue(value) {\n        if (info && info.values && info.values.constructor === Object && info.values[value] != void 0)\n          value = info.values[value];\n        if (typeof node2.properties[property] == \"number\") {\n          value = Number(value);\n        }\n        if (type == \"array\" || type == \"object\") {\n          value = JSON.parse(value);\n        }\n        node2.properties[property] = value;\n        if (node2.graph) {\n          node2.graph._version++;\n        }\n        if (node2.onPropertyChanged) {\n          node2.onPropertyChanged(property, value);\n        }\n        if (options.onclose)\n          options.onclose();\n        dialog.close();\n        node2.setDirtyCanvas(true, true);\n      }\n      return dialog;\n    }\n    // TODO refactor, theer are different dialog, some uses createDialog, some dont\n    createDialog(html, options) {\n      var def_options = { checkForInput: false, closeOnLeave: true, closeOnLeave_checkModified: true };\n      options = Object.assign(def_options, options || {});\n      var dialog = document.createElement(\"div\");\n      dialog.className = \"graphdialog\";\n      dialog.innerHTML = html;\n      dialog.is_modified = false;\n      var rect = this.canvas.getBoundingClientRect();\n      var offsetx = -20;\n      var offsety = -20;\n      if (rect) {\n        offsetx -= rect.left;\n        offsety -= rect.top;\n      }\n      if (options.position) {\n        offsetx += options.position[0];\n        offsety += options.position[1];\n      } else if (options.event) {\n        offsetx += options.event.clientX;\n        offsety += options.event.clientY;\n      } else {\n        offsetx += this.canvas.width * 0.5;\n        offsety += this.canvas.height * 0.5;\n      }\n      dialog.style.left = offsetx + \"px\";\n      dialog.style.top = offsety + \"px\";\n      this.canvas.parentNode.appendChild(dialog);\n      if (options.checkForInput) {\n        var aI = [];\n        var focused = false;\n        if (aI = dialog.querySelectorAll(\"input\")) {\n          aI.forEach(function(iX) {\n            iX.addEventListener(\"keydown\", function(e) {\n              dialog.modified();\n              if (e.keyCode == 27) {\n                dialog.close();\n              } else if (e.keyCode != 13) {\n                return;\n              }\n              e.preventDefault();\n              e.stopPropagation();\n            });\n            if (!focused) iX.focus();\n          });\n        }\n      }\n      dialog.modified = function() {\n        dialog.is_modified = true;\n      };\n      dialog.close = function() {\n        if (dialog.parentNode) {\n          dialog.parentNode.removeChild(dialog);\n        }\n      };\n      var dialogCloseTimer = null;\n      var prevent_timeout = false;\n      dialog.addEventListener(\"mouseleave\", function(e) {\n        if (prevent_timeout)\n          return;\n        if (options.closeOnLeave || LiteGraph.dialog_close_on_mouse_leave) {\n          if (!dialog.is_modified && LiteGraph.dialog_close_on_mouse_leave)\n            dialogCloseTimer = setTimeout(dialog.close, LiteGraph.dialog_close_on_mouse_leave_delay);\n        }\n      });\n      dialog.addEventListener(\"mouseenter\", function(e) {\n        if (options.closeOnLeave || LiteGraph.dialog_close_on_mouse_leave) {\n          if (dialogCloseTimer) clearTimeout(dialogCloseTimer);\n        }\n      });\n      var selInDia = dialog.querySelectorAll(\"select\");\n      if (selInDia) {\n        selInDia.forEach(function(selIn) {\n          selIn.addEventListener(\"click\", function(e) {\n            prevent_timeout++;\n          });\n          selIn.addEventListener(\"blur\", function(e) {\n            prevent_timeout = 0;\n          });\n          selIn.addEventListener(\"change\", function(e) {\n            prevent_timeout = -1;\n          });\n        });\n      }\n      return dialog;\n    }\n    createPanel(title, options) {\n      options = options || {};\n      var ref_window2 = options.window || window;\n      var root = document.createElement(\"div\");\n      root.className = \"litegraph dialog\";\n      root.innerHTML = \"<div class='dialog-header'><span class='dialog-title'></span></div><div class='dialog-content'></div><div style='display:none;' class='dialog-alt-content'></div><div class='dialog-footer'></div>\";\n      root.header = root.querySelector(\".dialog-header\");\n      if (options.width)\n        root.style.width = options.width + (options.width.constructor === Number ? \"px\" : \"\");\n      if (options.height)\n        root.style.height = options.height + (options.height.constructor === Number ? \"px\" : \"\");\n      if (options.closable) {\n        var close = document.createElement(\"span\");\n        close.innerHTML = \"&#10005;\";\n        close.classList.add(\"close\");\n        close.addEventListener(\"click\", function() {\n          root.close();\n        });\n        root.header.appendChild(close);\n      }\n      root.title_element = root.querySelector(\".dialog-title\");\n      root.title_element.innerText = title;\n      root.content = root.querySelector(\".dialog-content\");\n      root.alt_content = root.querySelector(\".dialog-alt-content\");\n      root.footer = root.querySelector(\".dialog-footer\");\n      root.close = function() {\n        if (root.onClose && typeof root.onClose == \"function\") {\n          root.onClose();\n        }\n        if (root.parentNode)\n          root.parentNode.removeChild(root);\n        if (this.parentNode) {\n          this.parentNode.removeChild(this);\n        }\n      };\n      root.toggleAltContent = function(force) {\n        if (typeof force != \"undefined\") {\n          var vTo = force ? \"block\" : \"none\";\n          var vAlt = force ? \"none\" : \"block\";\n        } else {\n          var vTo = root.alt_content.style.display != \"block\" ? \"block\" : \"none\";\n          var vAlt = root.alt_content.style.display != \"block\" ? \"none\" : \"block\";\n        }\n        root.alt_content.style.display = vTo;\n        root.content.style.display = vAlt;\n      };\n      root.toggleFooterVisibility = function(force) {\n        if (typeof force != \"undefined\") {\n          var vTo = force ? \"block\" : \"none\";\n        } else {\n          var vTo = root.footer.style.display != \"block\" ? \"block\" : \"none\";\n        }\n        root.footer.style.display = vTo;\n      };\n      root.clear = function() {\n        this.content.innerHTML = \"\";\n      };\n      root.addHTML = function(code, classname, on_footer) {\n        var elem = document.createElement(\"div\");\n        if (classname)\n          elem.className = classname;\n        elem.innerHTML = code;\n        if (on_footer)\n          root.footer.appendChild(elem);\n        else\n          root.content.appendChild(elem);\n        return elem;\n      };\n      root.addButton = function(name, callback, options2) {\n        var elem = document.createElement(\"button\");\n        elem.innerText = name;\n        elem.options = options2;\n        elem.classList.add(\"btn\");\n        elem.addEventListener(\"click\", callback);\n        root.footer.appendChild(elem);\n        return elem;\n      };\n      root.addSeparator = function() {\n        var elem = document.createElement(\"div\");\n        elem.className = \"separator\";\n        root.content.appendChild(elem);\n      };\n      root.addWidget = function(type, name, value, options2, callback) {\n        options2 = options2 || {};\n        var str_value = String(value);\n        type = type.toLowerCase();\n        if (type == \"number\")\n          str_value = value.toFixed(3);\n        var elem = document.createElement(\"div\");\n        elem.className = \"property\";\n        elem.innerHTML = \"<span class='property_name'></span><span class='property_value'></span>\";\n        elem.querySelector(\".property_name\").innerText = options2.label || name;\n        var value_element = elem.querySelector(\".property_value\");\n        value_element.innerText = str_value;\n        elem.dataset[\"property\"] = name;\n        elem.dataset[\"type\"] = options2.type || type;\n        elem.options = options2;\n        elem.value = value;\n        if (type == \"code\")\n          elem.addEventListener(\"click\", function(e) {\n            root.inner_showCodePad(this.dataset[\"property\"]);\n          });\n        else if (type == \"boolean\") {\n          elem.classList.add(\"boolean\");\n          if (value)\n            elem.classList.add(\"bool-on\");\n          elem.addEventListener(\"click\", function() {\n            var propname = this.dataset[\"property\"];\n            this.value = !this.value;\n            this.classList.toggle(\"bool-on\");\n            this.querySelector(\".property_value\").innerText = this.value ? \"true\" : \"false\";\n            innerChange(propname, this.value);\n          });\n        } else if (type == \"string\" || type == \"number\") {\n          value_element.setAttribute(\"contenteditable\", true);\n          value_element.addEventListener(\"keydown\", function(e) {\n            if (e.code == \"Enter\" && (type != \"string\" || !e.shiftKey)) {\n              e.preventDefault();\n              this.blur();\n            }\n          });\n          value_element.addEventListener(\"blur\", function() {\n            var v2 = this.innerText;\n            var propname = this.parentNode.dataset[\"property\"];\n            var proptype = this.parentNode.dataset[\"type\"];\n            if (proptype == \"number\")\n              v2 = Number(v2);\n            innerChange(propname, v2);\n          });\n        } else if (type == \"enum\" || type == \"combo\") {\n          var str_value = _LGraphCanvas.getPropertyPrintableValue(value, options2.values);\n          value_element.innerText = str_value;\n          value_element.addEventListener(\"click\", function(event2) {\n            var values2 = options2.values || [];\n            var propname = this.parentNode.dataset[\"property\"];\n            var elem_that = this;\n            new LiteGraph.ContextMenu(\n              values2,\n              {\n                event: event2,\n                className: \"dark\",\n                callback: inner_clicked\n              },\n              ref_window2\n            );\n            function inner_clicked(v2, option, event3) {\n              elem_that.innerText = v2;\n              innerChange(propname, v2);\n              return false;\n            }\n          });\n        }\n        root.content.appendChild(elem);\n        function innerChange(name2, value2) {\n          if (options2.callback)\n            options2.callback(name2, value2, options2);\n          if (callback)\n            callback(name2, value2, options2);\n        }\n        return elem;\n      };\n      if (root.onOpen && typeof root.onOpen == \"function\") root.onOpen();\n      return root;\n    }\n    closePanels() {\n      var panel2 = document.querySelector(\"#node-panel\");\n      if (panel2)\n        panel2.close();\n      var panel2 = document.querySelector(\"#option-panel\");\n      if (panel2)\n        panel2.close();\n    }\n    showShowGraphOptionsPanel(refOpts, obEv, refMenu, refMenu2) {\n      if (this.constructor && this.constructor.name == \"HTMLDivElement\") {\n        if (!obEv || !obEv.event || !obEv.event.target || !obEv.event.target.lgraphcanvas) {\n          console.warn(\"Canvas not found\");\n          return;\n        }\n        var graphcanvas = obEv.event.target.lgraphcanvas;\n      } else {\n        var graphcanvas = this;\n      }\n      graphcanvas.closePanels();\n      var ref_window2 = graphcanvas.getCanvasWindow();\n      panel = graphcanvas.createPanel(\"Options\", {\n        closable: true,\n        window: ref_window2,\n        onOpen: function() {\n          graphcanvas.OPTIONPANEL_IS_OPEN = true;\n        },\n        onClose: function() {\n          graphcanvas.OPTIONPANEL_IS_OPEN = false;\n          graphcanvas.options_panel = null;\n        }\n      });\n      graphcanvas.options_panel = panel;\n      panel.id = \"option-panel\";\n      panel.classList.add(\"settings\");\n      function inner_refresh() {\n        panel.content.innerHTML = \"\";\n        var fUpdate = function(name, value, options) {\n          switch (name) {\n            default:\n              if (options && options.key) {\n                name = options.key;\n              }\n              if (options.values) {\n                value = Object.values(options.values).indexOf(value);\n              }\n              graphcanvas[name] = value;\n              break;\n          }\n        };\n        var aProps = LiteGraph.availableCanvasOptions;\n        aProps.sort();\n        for (var pI in aProps) {\n          var pX = aProps[pI];\n          panel.addWidget(\"boolean\", pX, graphcanvas[pX], { key: pX, on: \"True\", off: \"False\" }, fUpdate);\n        }\n        [graphcanvas.links_render_mode];\n        panel.addWidget(\"combo\", \"Render mode\", LiteGraph.LINK_RENDER_MODES[graphcanvas.links_render_mode], { key: \"links_render_mode\", values: LiteGraph.LINK_RENDER_MODES }, fUpdate);\n        panel.addSeparator();\n        panel.footer.innerHTML = \"\";\n      }\n      inner_refresh();\n      graphcanvas.canvas.parentNode.appendChild(panel);\n    }\n    showShowNodePanel(node2) {\n      this.SELECTED_NODE = node2;\n      this.closePanels();\n      var ref_window2 = this.getCanvasWindow();\n      var graphcanvas = this;\n      var panel2 = this.createPanel(node2.title || \"\", {\n        closable: true,\n        window: ref_window2,\n        onOpen: function() {\n          graphcanvas.NODEPANEL_IS_OPEN = true;\n        },\n        onClose: function() {\n          graphcanvas.NODEPANEL_IS_OPEN = false;\n          graphcanvas.node_panel = null;\n        }\n      });\n      graphcanvas.node_panel = panel2;\n      panel2.id = \"node-panel\";\n      panel2.node = node2;\n      panel2.classList.add(\"settings\");\n      function inner_refresh() {\n        panel2.content.innerHTML = \"\";\n        panel2.addHTML(\"<span class='node_type'>\" + node2.type + \"</span><span class='node_desc'>\" + (node2.constructor.desc || \"\") + \"</span><span class='separator'></span>\");\n        panel2.addHTML(\"<h3>Properties</h3>\");\n        var fUpdate = function(name, value2) {\n          graphcanvas.graph.beforeChange(node2);\n          switch (name) {\n            case \"Title\":\n              node2.title = value2;\n              break;\n            case \"Mode\":\n              var kV = Object.values(LiteGraph.NODE_MODES).indexOf(value2);\n              if (kV >= 0 && LiteGraph.NODE_MODES[kV]) {\n                node2.changeMode(kV);\n              } else {\n                console.warn(\"unexpected mode: \" + value2);\n              }\n              break;\n            case \"Color\":\n              if (_LGraphCanvas.node_colors[value2]) {\n                node2.color = _LGraphCanvas.node_colors[value2].color;\n                node2.bgcolor = _LGraphCanvas.node_colors[value2].bgcolor;\n              } else {\n                console.warn(\"unexpected color: \" + value2);\n              }\n              break;\n            default:\n              node2.setProperty(name, value2);\n              break;\n          }\n          graphcanvas.graph.afterChange();\n          graphcanvas.dirty_canvas = true;\n        };\n        panel2.addWidget(\"string\", \"Title\", node2.title, {}, fUpdate);\n        panel2.addWidget(\"combo\", \"Mode\", LiteGraph.NODE_MODES[node2.mode], { values: LiteGraph.NODE_MODES }, fUpdate);\n        var nodeCol = \"\";\n        if (node2.color !== void 0) {\n          nodeCol = Object.keys(_LGraphCanvas.node_colors).filter(function(nK) {\n            return _LGraphCanvas.node_colors[nK].color == node2.color;\n          });\n        }\n        panel2.addWidget(\"combo\", \"Color\", nodeCol, { values: Object.keys(_LGraphCanvas.node_colors) }, fUpdate);\n        for (var pName in node2.properties) {\n          var value = node2.properties[pName];\n          var info = node2.getPropertyInfo(pName);\n          info.type || \"string\";\n          if (node2.onAddPropertyToPanel && node2.onAddPropertyToPanel(pName, panel2))\n            continue;\n          panel2.addWidget(info.widget || info.type, pName, value, info, fUpdate);\n        }\n        panel2.addSeparator();\n        if (node2.onShowCustomPanelInfo)\n          node2.onShowCustomPanelInfo(panel2);\n        panel2.footer.innerHTML = \"\";\n        panel2.addButton(\"Delete\", function() {\n          if (node2.block_delete)\n            return;\n          node2.graph.remove(node2);\n          panel2.close();\n        }).classList.add(\"delete\");\n      }\n      panel2.inner_showCodePad = function(propname) {\n        panel2.classList.remove(\"settings\");\n        panel2.classList.add(\"centered\");\n        panel2.alt_content.innerHTML = \"<textarea class='code'></textarea>\";\n        var textarea = panel2.alt_content.querySelector(\"textarea\");\n        var fDoneWith = function() {\n          panel2.toggleAltContent(false);\n          panel2.toggleFooterVisibility(true);\n          textarea.parentNode.removeChild(textarea);\n          panel2.classList.add(\"settings\");\n          panel2.classList.remove(\"centered\");\n          inner_refresh();\n        };\n        textarea.value = node2.properties[propname];\n        textarea.addEventListener(\"keydown\", function(e) {\n          if (e.code == \"Enter\" && e.ctrlKey) {\n            node2.setProperty(propname, textarea.value);\n            fDoneWith();\n          }\n        });\n        panel2.toggleAltContent(true);\n        panel2.toggleFooterVisibility(false);\n        textarea.style.height = \"calc(100% - 40px)\";\n        var assign = panel2.addButton(\"Assign\", function() {\n          node2.setProperty(propname, textarea.value);\n          fDoneWith();\n        });\n        panel2.alt_content.appendChild(assign);\n        var button = panel2.addButton(\"Close\", fDoneWith);\n        button.style.float = \"right\";\n        panel2.alt_content.appendChild(button);\n      };\n      inner_refresh();\n      this.canvas.parentNode.appendChild(panel2);\n    }\n    showSubgraphPropertiesDialog(node2) {\n      console.log(\"showing subgraph properties dialog\");\n      var old_panel = this.canvas.parentNode.querySelector(\".subgraph_dialog\");\n      if (old_panel)\n        old_panel.close();\n      var panel2 = this.createPanel(\"Subgraph Inputs\", { closable: true, width: 500 });\n      panel2.node = node2;\n      panel2.classList.add(\"subgraph_dialog\");\n      function inner_refresh() {\n        panel2.clear();\n        if (node2.inputs)\n          for (var i2 = 0; i2 < node2.inputs.length; ++i2) {\n            var input = node2.inputs[i2];\n            if (input.not_subgraph_input)\n              continue;\n            var html2 = \"<button>&#10005;</button> <span class='bullet_icon'></span><span class='name'></span><span class='type'></span>\";\n            var elem2 = panel2.addHTML(html2, \"subgraph_property\");\n            elem2.dataset[\"name\"] = input.name;\n            elem2.dataset[\"slot\"] = i2;\n            elem2.querySelector(\".name\").innerText = input.name;\n            elem2.querySelector(\".type\").innerText = input.type;\n            elem2.querySelector(\"button\").addEventListener(\"click\", function(e) {\n              node2.removeInput(Number(this.parentNode.dataset[\"slot\"]));\n              inner_refresh();\n            });\n          }\n      }\n      var html = \" + <span class='label'>Name</span><input class='name'/><span class='label'>Type</span><input class='type'></input><button>+</button>\";\n      var elem = panel2.addHTML(html, \"subgraph_property extra\", true);\n      elem.querySelector(\"button\").addEventListener(\"click\", function(e) {\n        var elem2 = this.parentNode;\n        var name = elem2.querySelector(\".name\").value;\n        var type = elem2.querySelector(\".type\").value;\n        if (!name || node2.findInputSlot(name) != -1)\n          return;\n        node2.addInput(name, type);\n        elem2.querySelector(\".name\").value = \"\";\n        elem2.querySelector(\".type\").value = \"\";\n        inner_refresh();\n      });\n      inner_refresh();\n      this.canvas.parentNode.appendChild(panel2);\n      return panel2;\n    }\n    showSubgraphPropertiesDialogRight(node2) {\n      var old_panel = this.canvas.parentNode.querySelector(\".subgraph_dialog\");\n      if (old_panel)\n        old_panel.close();\n      var panel2 = this.createPanel(\"Subgraph Outputs\", { closable: true, width: 500 });\n      panel2.node = node2;\n      panel2.classList.add(\"subgraph_dialog\");\n      function inner_refresh() {\n        panel2.clear();\n        if (node2.outputs)\n          for (var i2 = 0; i2 < node2.outputs.length; ++i2) {\n            var input = node2.outputs[i2];\n            if (input.not_subgraph_output)\n              continue;\n            var html2 = \"<button>&#10005;</button> <span class='bullet_icon'></span><span class='name'></span><span class='type'></span>\";\n            var elem2 = panel2.addHTML(html2, \"subgraph_property\");\n            elem2.dataset[\"name\"] = input.name;\n            elem2.dataset[\"slot\"] = i2;\n            elem2.querySelector(\".name\").innerText = input.name;\n            elem2.querySelector(\".type\").innerText = input.type;\n            elem2.querySelector(\"button\").addEventListener(\"click\", function(e) {\n              node2.removeOutput(Number(this.parentNode.dataset[\"slot\"]));\n              inner_refresh();\n            });\n          }\n      }\n      var html = \" + <span class='label'>Name</span><input class='name'/><span class='label'>Type</span><input class='type'></input><button>+</button>\";\n      var elem = panel2.addHTML(html, \"subgraph_property extra\", true);\n      elem.querySelector(\".name\").addEventListener(\"keydown\", function(e) {\n        if (e.keyCode == 13) {\n          addOutput.apply(this);\n        }\n      });\n      elem.querySelector(\"button\").addEventListener(\"click\", function(e) {\n        addOutput.apply(this);\n      });\n      function addOutput() {\n        var elem2 = this.parentNode;\n        var name = elem2.querySelector(\".name\").value;\n        var type = elem2.querySelector(\".type\").value;\n        if (!name || node2.findOutputSlot(name) != -1)\n          return;\n        node2.addOutput(name, type);\n        elem2.querySelector(\".name\").value = \"\";\n        elem2.querySelector(\".type\").value = \"\";\n        inner_refresh();\n      }\n      inner_refresh();\n      this.canvas.parentNode.appendChild(panel2);\n      return panel2;\n    }\n    checkPanels() {\n      if (!this.canvas)\n        return;\n      var panels = this.canvas.parentNode.querySelectorAll(\".litegraph.dialog\");\n      for (var i2 = 0; i2 < panels.length; ++i2) {\n        var panel2 = panels[i2];\n        if (!panel2.node)\n          continue;\n        if (!panel2.node.graph || panel2.graph != this.graph)\n          panel2.close();\n      }\n    }\n    getCanvasMenuOptions() {\n      var options = null;\n      if (this.getMenuOptions) {\n        options = this.getMenuOptions();\n      } else {\n        options = [\n          {\n            content: \"Add Node\",\n            has_submenu: true,\n            callback: _LGraphCanvas.onMenuAdd\n          },\n          { content: \"Add Group\", callback: _LGraphCanvas.onGroupAdd }\n          //{ content: \"Arrange\", callback: that.graph.arrange },\n          //{content:\"Collapse All\", callback: LGraphCanvas.onMenuCollapseAll }\n        ];\n        if (Object.keys(this.selected_nodes).length > 1) {\n          options.push({\n            content: \"Align\",\n            has_submenu: true,\n            callback: _LGraphCanvas.onGroupAlign\n          });\n        }\n        if (this._graph_stack && this._graph_stack.length > 0) {\n          options.push(null, {\n            content: \"Close subgraph\",\n            callback: this.closeSubgraph.bind(this)\n          });\n        }\n      }\n      if (this.getExtraMenuOptions) {\n        var extra = this.getExtraMenuOptions(this, options);\n        if (extra) {\n          options = options.concat(extra);\n        }\n      }\n      return options;\n    }\n    //called by processContextMenu to extract the menu list\n    getNodeMenuOptions(node2) {\n      var _a;\n      var options = null;\n      if (node2.getMenuOptions) {\n        options = node2.getMenuOptions(this);\n      } else {\n        options = [\n          {\n            content: \"Inputs\",\n            has_submenu: true,\n            disabled: true,\n            callback: _LGraphCanvas.showMenuNodeOptionalInputs\n          },\n          {\n            content: \"Outputs\",\n            has_submenu: true,\n            disabled: true,\n            callback: _LGraphCanvas.showMenuNodeOptionalOutputs\n          },\n          null,\n          {\n            content: \"Properties\",\n            has_submenu: true,\n            callback: _LGraphCanvas.onShowMenuNodeProperties\n          },\n          {\n            content: \"Properties Panel\",\n            callback: function(item, options2, e, menu, node3) {\n              _LGraphCanvas.active_canvas.showShowNodePanel(node3);\n            }\n          },\n          null,\n          {\n            content: \"Title\",\n            callback: _LGraphCanvas.onShowPropertyEditor\n          },\n          {\n            content: \"Mode\",\n            has_submenu: true,\n            callback: _LGraphCanvas.onMenuNodeMode\n          }\n        ];\n        if (node2.resizable !== false) {\n          options.push({\n            content: \"Resize\",\n            callback: _LGraphCanvas.onMenuResizeNode\n          });\n        }\n        options.push(\n          {\n            content: \"Collapse\",\n            callback: _LGraphCanvas.onMenuNodeCollapse\n          },\n          {\n            content: ((_a = node2.flags) == null ? void 0 : _a.pinned) ? \"Unpin\" : \"Pin\",\n            callback: _LGraphCanvas.onMenuNodePin\n          },\n          {\n            content: \"Colors\",\n            has_submenu: true,\n            callback: _LGraphCanvas.onMenuNodeColors\n          },\n          {\n            content: \"Shapes\",\n            has_submenu: true,\n            callback: _LGraphCanvas.onMenuNodeShapes\n          },\n          null\n        );\n      }\n      if (node2.onGetInputs) {\n        var inputs = node2.onGetInputs();\n        if (inputs && inputs.length) {\n          options[0].disabled = false;\n        }\n      }\n      if (node2.onGetOutputs) {\n        var outputs = node2.onGetOutputs();\n        if (outputs && outputs.length) {\n          options[1].disabled = false;\n        }\n      }\n      if (node2.getExtraMenuOptions) {\n        var extra = node2.getExtraMenuOptions(this, options);\n        if (extra) {\n          extra.push(null);\n          options = extra.concat(options);\n        }\n      }\n      if (node2.clonable !== false) {\n        options.push({\n          content: \"Clone\",\n          callback: _LGraphCanvas.onMenuNodeClone\n        });\n      }\n      if (Object.keys(this.selected_nodes).length > 1) {\n        options.push({\n          content: \"Align Selected To\",\n          has_submenu: true,\n          callback: _LGraphCanvas.onNodeAlign\n        });\n      }\n      options.push(null, {\n        content: \"Remove\",\n        disabled: !(node2.removable !== false && !node2.block_delete),\n        callback: _LGraphCanvas.onMenuNodeRemove\n      });\n      if (node2.graph && node2.graph.onGetNodeMenuOptions) {\n        node2.graph.onGetNodeMenuOptions(options, node2);\n      }\n      return options;\n    }\n    getGroupMenuOptions(node2) {\n      var o = [\n        { content: \"Title\", callback: _LGraphCanvas.onShowPropertyEditor },\n        {\n          content: \"Color\",\n          has_submenu: true,\n          callback: _LGraphCanvas.onMenuNodeColors\n        },\n        {\n          content: \"Font size\",\n          property: \"font_size\",\n          type: \"Number\",\n          callback: _LGraphCanvas.onShowPropertyEditor\n        },\n        null,\n        { content: \"Remove\", callback: _LGraphCanvas.onMenuNodeRemove }\n      ];\n      return o;\n    }\n    processContextMenu(node2, event2) {\n      var that2 = this;\n      var canvas = _LGraphCanvas.active_canvas;\n      var ref_window2 = canvas.getCanvasWindow();\n      var menu_info = null;\n      var options = {\n        event: event2,\n        callback: inner_option_clicked,\n        extra: node2\n      };\n      if (node2)\n        options.title = node2.type;\n      var slot = null;\n      if (node2) {\n        slot = node2.getSlotInPosition(event2.canvasX, event2.canvasY);\n        _LGraphCanvas.active_node = node2;\n      }\n      if (slot) {\n        menu_info = [];\n        if (node2.getSlotMenuOptions) {\n          menu_info = node2.getSlotMenuOptions(slot);\n        } else {\n          if (slot && slot.output && slot.output.links && slot.output.links.length) {\n            menu_info.push({ content: \"Disconnect Links\", slot });\n          }\n          var _slot = slot.input || slot.output;\n          if (_slot.removable) {\n            menu_info.push(\n              _slot.locked ? \"Cannot remove\" : { content: \"Remove Slot\", slot }\n            );\n          }\n          if (!_slot.nameLocked) {\n            menu_info.push({ content: \"Rename Slot\", slot });\n          }\n        }\n        options.title = (slot.input ? slot.input.type : slot.output.type) || \"*\";\n        if (slot.input && slot.input.type == LiteGraph.ACTION) {\n          options.title = \"Action\";\n        }\n        if (slot.output && slot.output.type == LiteGraph.EVENT) {\n          options.title = \"Event\";\n        }\n      } else {\n        if (node2) {\n          menu_info = this.getNodeMenuOptions(node2);\n        } else {\n          menu_info = this.getCanvasMenuOptions();\n          var group = this.graph.getGroupOnPos(\n            event2.canvasX,\n            event2.canvasY\n          );\n          if (group) {\n            menu_info.push(null, {\n              content: \"Edit Group\",\n              has_submenu: true,\n              submenu: {\n                title: \"Group\",\n                extra: group,\n                options: this.getGroupMenuOptions(group)\n              }\n            });\n          }\n        }\n      }\n      if (!menu_info) {\n        return;\n      }\n      new LiteGraph.ContextMenu(menu_info, options, ref_window2);\n      function inner_option_clicked(v2, options2, e) {\n        if (!v2) {\n          return;\n        }\n        if (v2.content == \"Remove Slot\") {\n          var info = v2.slot;\n          node2.graph.beforeChange();\n          if (info.input) {\n            node2.removeInput(info.slot);\n          } else if (info.output) {\n            node2.removeOutput(info.slot);\n          }\n          node2.graph.afterChange();\n          return;\n        } else if (v2.content == \"Disconnect Links\") {\n          var info = v2.slot;\n          node2.graph.beforeChange();\n          if (info.output) {\n            node2.disconnectOutput(info.slot);\n          } else if (info.input) {\n            node2.disconnectInput(info.slot);\n          }\n          node2.graph.afterChange();\n          return;\n        } else if (v2.content == \"Rename Slot\") {\n          var info = v2.slot;\n          var slot_info = info.input ? node2.getInputInfo(info.slot) : node2.getOutputInfo(info.slot);\n          var dialog = that2.createDialog(\n            \"<span class='name'>Name</span><input autofocus type='text'/><button>OK</button>\",\n            options2\n          );\n          var input = dialog.querySelector(\"input\");\n          if (input && slot_info) {\n            input.value = slot_info.label || \"\";\n          }\n          var inner = function() {\n            node2.graph.beforeChange();\n            if (input.value) {\n              if (slot_info) {\n                slot_info.label = input.value;\n              }\n              that2.setDirty(true);\n            }\n            dialog.close();\n            node2.graph.afterChange();\n          };\n          dialog.querySelector(\"button\").addEventListener(\"click\", inner);\n          input.addEventListener(\"keydown\", function(e2) {\n            dialog.is_modified = true;\n            if (e2.keyCode == 27) {\n              dialog.close();\n            } else if (e2.keyCode == 13) {\n              inner();\n            } else if (e2.keyCode != 13 && e2.target.localName != \"textarea\") {\n              return;\n            }\n            e2.preventDefault();\n            e2.stopPropagation();\n          });\n          input.focus();\n        }\n      }\n    }\n  };\n  _temp = new WeakMap();\n  _temp_vec2 = new WeakMap();\n  _tmp_area = new WeakMap();\n  _margin_area = new WeakMap();\n  _link_bounding = new WeakMap();\n  _tempA = new WeakMap();\n  _tempB = new WeakMap();\n  /* Interaction */\n  __privateAdd(_LGraphCanvas, _temp, new Float32Array(4));\n  __privateAdd(_LGraphCanvas, _temp_vec2, new Float32Array(2));\n  __privateAdd(_LGraphCanvas, _tmp_area, new Float32Array(4));\n  __privateAdd(_LGraphCanvas, _margin_area, new Float32Array(4));\n  __privateAdd(_LGraphCanvas, _link_bounding, new Float32Array(4));\n  __privateAdd(_LGraphCanvas, _tempA, new Float32Array(2));\n  __privateAdd(_LGraphCanvas, _tempB, new Float32Array(2));\n  __publicField(_LGraphCanvas, \"DEFAULT_BACKGROUND_IMAGE\", \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGQAAABkCAIAAAD/gAIDAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAQBJREFUeNrs1rEKwjAUhlETUkj3vP9rdmr1Ysammk2w5wdxuLgcMHyptfawuZX4pJSWZTnfnu/lnIe/jNNxHHGNn//HNbbv+4dr6V+11uF527arU7+u63qfa/bnmh8sWLBgwYJlqRf8MEptXPBXJXa37BSl3ixYsGDBMliwFLyCV/DeLIMFCxYsWLBMwSt4Be/NggXLYMGCBUvBK3iNruC9WbBgwYJlsGApeAWv4L1ZBgsWLFiwYJmCV/AK3psFC5bBggULloJX8BpdwXuzYMGCBctgwVLwCl7Be7MMFixYsGDBsu8FH1FaSmExVfAxBa/gvVmwYMGCZbBg/W4vAQYA5tRF9QYlv/QAAAAASUVORK5CYII=\");\n  __publicField(_LGraphCanvas, \"link_type_colors\", {\n    \"-1\": LiteGraph.EVENT_LINK_COLOR,\n    number: \"#AAA\",\n    node: \"#DCA\"\n  });\n  __publicField(_LGraphCanvas, \"gradients\", {});\n  //cache of gradients\n  __publicField(_LGraphCanvas, \"search_limit\", -1);\n  __publicField(_LGraphCanvas, \"node_colors\", {\n    red: { color: \"#322\", bgcolor: \"#533\", groupcolor: \"#A88\" },\n    brown: { color: \"#332922\", bgcolor: \"#593930\", groupcolor: \"#b06634\" },\n    green: { color: \"#232\", bgcolor: \"#353\", groupcolor: \"#8A8\" },\n    blue: { color: \"#223\", bgcolor: \"#335\", groupcolor: \"#88A\" },\n    pale_blue: {\n      color: \"#2a363b\",\n      bgcolor: \"#3f5159\",\n      groupcolor: \"#3f789e\"\n    },\n    cyan: { color: \"#233\", bgcolor: \"#355\", groupcolor: \"#8AA\" },\n    purple: { color: \"#323\", bgcolor: \"#535\", groupcolor: \"#a1309b\" },\n    yellow: { color: \"#432\", bgcolor: \"#653\", groupcolor: \"#b58b2a\" },\n    black: { color: \"#222\", bgcolor: \"#000\", groupcolor: \"#444\" }\n  });\n  let LGraphCanvas = _LGraphCanvas;\n  globalThis.LGraphCanvas = LiteGraph.LGraphCanvas = LGraphCanvas;\n  if (typeof window != \"undefined\" && window.CanvasRenderingContext2D && !window.CanvasRenderingContext2D.prototype.roundRect) {\n    window.CanvasRenderingContext2D.prototype.roundRect = function(x2, y2, w2, h, radius, radius_low) {\n      var top_left_radius = 0;\n      var top_right_radius = 0;\n      var bottom_left_radius = 0;\n      var bottom_right_radius = 0;\n      if (radius === 0) {\n        this.rect(x2, y2, w2, h);\n        return;\n      }\n      if (radius_low === void 0)\n        radius_low = radius;\n      if (radius != null && radius.constructor === Array) {\n        if (radius.length == 1)\n          top_left_radius = top_right_radius = bottom_left_radius = bottom_right_radius = radius[0];\n        else if (radius.length == 2) {\n          top_left_radius = bottom_right_radius = radius[0];\n          top_right_radius = bottom_left_radius = radius[1];\n        } else if (radius.length == 4) {\n          top_left_radius = radius[0];\n          top_right_radius = radius[1];\n          bottom_left_radius = radius[2];\n          bottom_right_radius = radius[3];\n        } else\n          return;\n      } else {\n        top_left_radius = radius || 0;\n        top_right_radius = radius || 0;\n        bottom_left_radius = radius_low || 0;\n        bottom_right_radius = radius_low || 0;\n      }\n      this.moveTo(x2 + top_left_radius, y2);\n      this.lineTo(x2 + w2 - top_right_radius, y2);\n      this.quadraticCurveTo(x2 + w2, y2, x2 + w2, y2 + top_right_radius);\n      this.lineTo(x2 + w2, y2 + h - bottom_right_radius);\n      this.quadraticCurveTo(\n        x2 + w2,\n        y2 + h,\n        x2 + w2 - bottom_right_radius,\n        y2 + h\n      );\n      this.lineTo(x2 + bottom_right_radius, y2 + h);\n      this.quadraticCurveTo(x2, y2 + h, x2, y2 + h - bottom_left_radius);\n      this.lineTo(x2, y2 + bottom_left_radius);\n      this.quadraticCurveTo(x2, y2, x2 + top_left_radius, y2);\n    };\n  }\n  function compareObjects(a, b) {\n    for (var i2 in a) {\n      if (a[i2] != b[i2]) {\n        return false;\n      }\n    }\n    return true;\n  }\n  LiteGraph.compareObjects = compareObjects;\n  function distance(a, b) {\n    return Math.sqrt(\n      (b[0] - a[0]) * (b[0] - a[0]) + (b[1] - a[1]) * (b[1] - a[1])\n    );\n  }\n  LiteGraph.distance = distance;\n  function colorToString(c) {\n    return \"rgba(\" + Math.round(c[0] * 255).toFixed() + \",\" + Math.round(c[1] * 255).toFixed() + \",\" + Math.round(c[2] * 255).toFixed() + \",\" + (c.length == 4 ? c[3].toFixed(2) : \"1.0\") + \")\";\n  }\n  LiteGraph.colorToString = colorToString;\n  function isInsideRectangle(x2, y2, left, top, width2, height) {\n    if (left < x2 && left + width2 > x2 && top < y2 && top + height > y2) {\n      return true;\n    }\n    return false;\n  }\n  LiteGraph.isInsideRectangle = isInsideRectangle;\n  function growBounding(bounding, x2, y2) {\n    if (x2 < bounding[0]) {\n      bounding[0] = x2;\n    } else if (x2 > bounding[2]) {\n      bounding[2] = x2;\n    }\n    if (y2 < bounding[1]) {\n      bounding[1] = y2;\n    } else if (y2 > bounding[3]) {\n      bounding[3] = y2;\n    }\n  }\n  LiteGraph.growBounding = growBounding;\n  function isInsideBounding(p, bb) {\n    if (p[0] < bb[0][0] || p[1] < bb[0][1] || p[0] > bb[1][0] || p[1] > bb[1][1]) {\n      return false;\n    }\n    return true;\n  }\n  LiteGraph.isInsideBounding = isInsideBounding;\n  function overlapBounding(a, b) {\n    var A_end_x = a[0] + a[2];\n    var A_end_y = a[1] + a[3];\n    var B_end_x = b[0] + b[2];\n    var B_end_y = b[1] + b[3];\n    if (a[0] > B_end_x || a[1] > B_end_y || A_end_x < b[0] || A_end_y < b[1]) {\n      return false;\n    }\n    return true;\n  }\n  LiteGraph.overlapBounding = overlapBounding;\n  function hex2num(hex) {\n    if (hex.charAt(0) == \"#\") {\n      hex = hex.slice(1);\n    }\n    hex = hex.toUpperCase();\n    var hex_alphabets = \"0123456789ABCDEF\";\n    var value = new Array(3);\n    var k = 0;\n    var int1, int2;\n    for (var i2 = 0; i2 < 6; i2 += 2) {\n      int1 = hex_alphabets.indexOf(hex.charAt(i2));\n      int2 = hex_alphabets.indexOf(hex.charAt(i2 + 1));\n      value[k] = int1 * 16 + int2;\n      k++;\n    }\n    return value;\n  }\n  LiteGraph.hex2num = hex2num;\n  function num2hex(triplet) {\n    var hex_alphabets = \"0123456789ABCDEF\";\n    var hex = \"#\";\n    var int1, int2;\n    for (var i2 = 0; i2 < 3; i2++) {\n      int1 = triplet[i2] / 16;\n      int2 = triplet[i2] % 16;\n      hex += hex_alphabets.charAt(int1) + hex_alphabets.charAt(int2);\n    }\n    return hex;\n  }\n  LiteGraph.num2hex = num2hex;\n  function ContextMenu(values2, options) {\n    options = options || {};\n    this.options = options;\n    var that2 = this;\n    if (options.parentMenu) {\n      if (options.parentMenu.constructor !== this.constructor) {\n        console.error(\n          \"parentMenu must be of class ContextMenu, ignoring it\"\n        );\n        options.parentMenu = null;\n      } else {\n        this.parentMenu = options.parentMenu;\n        this.parentMenu.lock = true;\n        this.parentMenu.current_submenu = this;\n      }\n    }\n    var eventClass = null;\n    if (options.event)\n      eventClass = options.event.constructor.name;\n    if (eventClass !== \"MouseEvent\" && eventClass !== \"CustomEvent\" && eventClass !== \"PointerEvent\") {\n      console.error(\n        \"Event passed to ContextMenu is not of type MouseEvent or CustomEvent. Ignoring it. (\" + eventClass + \")\"\n      );\n      options.event = null;\n    }\n    var root = document.createElement(\"div\");\n    root.className = \"litegraph litecontextmenu litemenubar-panel\";\n    if (options.className) {\n      root.className += \" \" + options.className;\n    }\n    root.style.minWidth = 100;\n    root.style.minHeight = 100;\n    root.style.pointerEvents = \"none\";\n    setTimeout(function() {\n      root.style.pointerEvents = \"auto\";\n    }, 100);\n    LiteGraph.pointerListenerAdd(\n      root,\n      \"up\",\n      function(e) {\n        e.preventDefault();\n        return true;\n      },\n      true\n    );\n    root.addEventListener(\n      \"contextmenu\",\n      function(e) {\n        if (e.button != 2) {\n          return false;\n        }\n        e.preventDefault();\n        return false;\n      },\n      true\n    );\n    LiteGraph.pointerListenerAdd(\n      root,\n      \"down\",\n      function(e) {\n        if (e.button == 2) {\n          that2.close();\n          e.preventDefault();\n          return true;\n        }\n      },\n      true\n    );\n    function on_mouse_wheel(e) {\n      var pos2 = parseInt(root.style.top);\n      root.style.top = (pos2 + e.deltaY * options.scroll_speed).toFixed() + \"px\";\n      e.preventDefault();\n      return true;\n    }\n    if (!options.scroll_speed) {\n      options.scroll_speed = 0.1;\n    }\n    root.addEventListener(\"wheel\", on_mouse_wheel, true);\n    root.addEventListener(\"mousewheel\", on_mouse_wheel, true);\n    this.root = root;\n    if (options.title) {\n      var element = document.createElement(\"div\");\n      element.className = \"litemenu-title\";\n      element.innerHTML = options.title;\n      root.appendChild(element);\n    }\n    for (var i2 = 0; i2 < values2.length; i2++) {\n      var name = values2.constructor == Array ? values2[i2] : i2;\n      if (name != null && name.constructor !== String) {\n        name = name.content === void 0 ? String(name) : name.content;\n      }\n      var value = values2[i2];\n      this.addItem(name, value, options);\n    }\n    LiteGraph.pointerListenerAdd(root, \"enter\", function(e) {\n      if (root.closing_timer) {\n        clearTimeout(root.closing_timer);\n      }\n    });\n    var root_document = document;\n    if (options.event) {\n      root_document = options.event.target.ownerDocument;\n    }\n    if (!root_document) {\n      root_document = document;\n    }\n    if (root_document.fullscreenElement)\n      root_document.fullscreenElement.appendChild(root);\n    else\n      root_document.body.appendChild(root);\n    var left = options.left || 0;\n    var top = options.top || 0;\n    if (options.event) {\n      left = options.event.clientX - 10;\n      top = options.event.clientY - 10;\n      if (options.title) {\n        top -= 20;\n      }\n      if (options.parentMenu) {\n        var rect = options.parentMenu.root.getBoundingClientRect();\n        left = rect.left + rect.width;\n      }\n      var body_rect = document.body.getBoundingClientRect();\n      var root_rect = root.getBoundingClientRect();\n      if (body_rect.height == 0)\n        console.error(\"document.body height is 0. That is dangerous, set html,body { height: 100%; }\");\n      if (body_rect.width && left > body_rect.width - root_rect.width - 10) {\n        left = body_rect.width - root_rect.width - 10;\n      }\n      if (body_rect.height && top > body_rect.height - root_rect.height - 10) {\n        top = body_rect.height - root_rect.height - 10;\n      }\n    }\n    root.style.left = left + \"px\";\n    root.style.top = top + \"px\";\n    if (options.scale) {\n      root.style.transform = \"scale(\" + options.scale + \")\";\n    }\n  }\n  ContextMenu.prototype.addItem = function(name, value, options) {\n    var that2 = this;\n    options = options || {};\n    var element = document.createElement(\"div\");\n    element.className = \"litemenu-entry submenu\";\n    var disabled = false;\n    if (value === null) {\n      element.classList.add(\"separator\");\n    } else {\n      element.innerHTML = value && value.title ? value.title : name;\n      element.value = value;\n      element.setAttribute(\"role\", \"menuitem\");\n      if (value) {\n        if (value.disabled) {\n          disabled = true;\n          element.classList.add(\"disabled\");\n          element.setAttribute(\"aria-disabled\", \"true\");\n        }\n        if (value.submenu || value.has_submenu) {\n          element.classList.add(\"has_submenu\");\n          element.setAttribute(\"aria-haspopup\", \"true\");\n          element.setAttribute(\"aria-expanded\", \"false\");\n        }\n      }\n      if (typeof value == \"function\") {\n        element.dataset[\"value\"] = name;\n        element.onclick_callback = value;\n      } else {\n        element.dataset[\"value\"] = value;\n      }\n      if (value.className) {\n        element.className += \" \" + value.className;\n      }\n    }\n    this.root.appendChild(element);\n    if (!disabled) {\n      element.addEventListener(\"click\", inner_onclick);\n    }\n    if (!disabled && options.autoopen) {\n      LiteGraph.pointerListenerAdd(element, \"enter\", inner_over);\n    }\n    function setAriaExpanded() {\n      const entries = that2.root.querySelectorAll(\"div.litemenu-entry.has_submenu\");\n      if (entries) {\n        for (let i2 = 0; i2 < entries.length; i2++) {\n          entries[i2].setAttribute(\"aria-expanded\", \"false\");\n        }\n      }\n      element.setAttribute(\"aria-expanded\", \"true\");\n    }\n    function inner_over(e) {\n      var value2 = this.value;\n      if (!value2 || !value2.has_submenu) {\n        return;\n      }\n      inner_onclick.call(this, e);\n      setAriaExpanded();\n    }\n    function inner_onclick(e) {\n      var value2 = this.value;\n      var close_parent = true;\n      if (that2.current_submenu) {\n        that2.current_submenu.close(e);\n      }\n      if ((value2 == null ? void 0 : value2.has_submenu) || (value2 == null ? void 0 : value2.submenu)) {\n        setAriaExpanded();\n      }\n      if (options.callback) {\n        var r = options.callback.call(\n          this,\n          value2,\n          options,\n          e,\n          that2,\n          options.node\n        );\n        if (r === true) {\n          close_parent = false;\n        }\n      }\n      if (value2) {\n        if (value2.callback && !options.ignore_item_callbacks && value2.disabled !== true) {\n          var r = value2.callback.call(\n            this,\n            value2,\n            options,\n            e,\n            that2,\n            options.extra\n          );\n          if (r === true) {\n            close_parent = false;\n          }\n        }\n        if (value2.submenu) {\n          if (!value2.submenu.options) {\n            throw \"ContextMenu submenu needs options\";\n          }\n          new that2.constructor(value2.submenu.options, {\n            callback: value2.submenu.callback,\n            event: e,\n            parentMenu: that2,\n            ignore_item_callbacks: value2.submenu.ignore_item_callbacks,\n            title: value2.submenu.title,\n            extra: value2.submenu.extra,\n            autoopen: options.autoopen\n          });\n          close_parent = false;\n        }\n      }\n      if (close_parent && !that2.lock) {\n        that2.close();\n      }\n    }\n    return element;\n  };\n  ContextMenu.prototype.close = function(e, ignore_parent_menu) {\n    if (this.root.parentNode) {\n      this.root.parentNode.removeChild(this.root);\n    }\n    if (this.parentMenu && !ignore_parent_menu) {\n      this.parentMenu.lock = false;\n      this.parentMenu.current_submenu = null;\n      if (e === void 0) {\n        this.parentMenu.close();\n      } else if (e && !ContextMenu.isCursorOverElement(e, this.parentMenu.root)) {\n        ContextMenu.trigger(this.parentMenu.root, LiteGraph.pointerevents_method + \"leave\", e);\n      }\n    }\n    if (this.current_submenu) {\n      this.current_submenu.close(e, true);\n    }\n    if (this.root.closing_timer) {\n      clearTimeout(this.root.closing_timer);\n    }\n  };\n  ContextMenu.trigger = function(element, event_name, params, origin) {\n    var evt = document.createEvent(\"CustomEvent\");\n    evt.initCustomEvent(event_name, true, true, params);\n    evt.srcElement = origin;\n    if (element.dispatchEvent) {\n      element.dispatchEvent(evt);\n    } else if (element.__events) {\n      element.__events.dispatchEvent(evt);\n    }\n    return evt;\n  };\n  ContextMenu.prototype.getTopMenu = function() {\n    if (this.options.parentMenu) {\n      return this.options.parentMenu.getTopMenu();\n    }\n    return this;\n  };\n  ContextMenu.prototype.getFirstEvent = function() {\n    if (this.options.parentMenu) {\n      return this.options.parentMenu.getFirstEvent();\n    }\n    return this.options.event;\n  };\n  ContextMenu.isCursorOverElement = function(event2, element) {\n    var left = event2.clientX;\n    var top = event2.clientY;\n    var rect = element.getBoundingClientRect();\n    if (!rect) {\n      return false;\n    }\n    if (top > rect.top && top < rect.top + rect.height && left > rect.left && left < rect.left + rect.width) {\n      return true;\n    }\n    return false;\n  };\n  LiteGraph.ContextMenu = ContextMenu;\n  LiteGraph.closeAllContextMenus = function(ref_window2) {\n    ref_window2 = ref_window2 || window;\n    var elements = ref_window2.document.querySelectorAll(\".litecontextmenu\");\n    if (!elements.length) {\n      return;\n    }\n    var result = [];\n    for (var i2 = 0; i2 < elements.length; i2++) {\n      result.push(elements[i2]);\n    }\n    for (var i2 = 0; i2 < result.length; i2++) {\n      if (result[i2].close) {\n        result[i2].close();\n      } else if (result[i2].parentNode) {\n        result[i2].parentNode.removeChild(result[i2]);\n      }\n    }\n  };\n  LiteGraph.extendClass = function(target, origin) {\n    for (var i2 in origin) {\n      if (target.hasOwnProperty(i2)) {\n        continue;\n      }\n      target[i2] = origin[i2];\n    }\n    if (origin.prototype) {\n      for (var i2 in origin.prototype) {\n        if (!origin.prototype.hasOwnProperty(i2)) {\n          continue;\n        }\n        if (target.prototype.hasOwnProperty(i2)) {\n          continue;\n        }\n        if (origin.prototype.__lookupGetter__(i2)) {\n          target.prototype.__defineGetter__(\n            i2,\n            origin.prototype.__lookupGetter__(i2)\n          );\n        } else {\n          target.prototype[i2] = origin.prototype[i2];\n        }\n        if (origin.prototype.__lookupSetter__(i2)) {\n          target.prototype.__defineSetter__(\n            i2,\n            origin.prototype.__lookupSetter__(i2)\n          );\n        }\n      }\n    }\n  };\n  function CurveEditor(points) {\n    this.points = points;\n    this.selected = -1;\n    this.nearest = -1;\n    this.size = null;\n    this.must_update = true;\n    this.margin = 5;\n  }\n  CurveEditor.sampleCurve = function(f, points) {\n    if (!points)\n      return;\n    for (var i2 = 0; i2 < points.length - 1; ++i2) {\n      var p = points[i2];\n      var pn = points[i2 + 1];\n      if (pn[0] < f)\n        continue;\n      var r = pn[0] - p[0];\n      if (Math.abs(r) < 1e-5)\n        return p[1];\n      var local_f = (f - p[0]) / r;\n      return p[1] * (1 - local_f) + pn[1] * local_f;\n    }\n    return 0;\n  };\n  CurveEditor.prototype.draw = function(ctx, size, graphcanvas, background_color, line_color, inactive) {\n    var points = this.points;\n    if (!points)\n      return;\n    this.size = size;\n    var w2 = size[0] - this.margin * 2;\n    var h = size[1] - this.margin * 2;\n    line_color = line_color || \"#666\";\n    ctx.save();\n    ctx.translate(this.margin, this.margin);\n    if (background_color) {\n      ctx.fillStyle = \"#111\";\n      ctx.fillRect(0, 0, w2, h);\n      ctx.fillStyle = \"#222\";\n      ctx.fillRect(w2 * 0.5, 0, 1, h);\n      ctx.strokeStyle = \"#333\";\n      ctx.strokeRect(0, 0, w2, h);\n    }\n    ctx.strokeStyle = line_color;\n    if (inactive)\n      ctx.globalAlpha = 0.5;\n    ctx.beginPath();\n    for (var i2 = 0; i2 < points.length; ++i2) {\n      var p = points[i2];\n      ctx.lineTo(p[0] * w2, (1 - p[1]) * h);\n    }\n    ctx.stroke();\n    ctx.globalAlpha = 1;\n    if (!inactive)\n      for (var i2 = 0; i2 < points.length; ++i2) {\n        var p = points[i2];\n        ctx.fillStyle = this.selected == i2 ? \"#FFF\" : this.nearest == i2 ? \"#DDD\" : \"#AAA\";\n        ctx.beginPath();\n        ctx.arc(p[0] * w2, (1 - p[1]) * h, 2, 0, Math.PI * 2);\n        ctx.fill();\n      }\n    ctx.restore();\n  };\n  CurveEditor.prototype.onMouseDown = function(localpos, graphcanvas) {\n    var points = this.points;\n    if (!points)\n      return;\n    if (localpos[1] < 0)\n      return;\n    var w2 = this.size[0] - this.margin * 2;\n    var h = this.size[1] - this.margin * 2;\n    var x2 = localpos[0] - this.margin;\n    var y2 = localpos[1] - this.margin;\n    var pos2 = [x2, y2];\n    var max_dist = 30 / graphcanvas.ds.scale;\n    this.selected = this.getCloserPoint(pos2, max_dist);\n    if (this.selected == -1) {\n      var point = [x2 / w2, 1 - y2 / h];\n      points.push(point);\n      points.sort(function(a, b) {\n        return a[0] - b[0];\n      });\n      this.selected = points.indexOf(point);\n      this.must_update = true;\n    }\n    if (this.selected != -1)\n      return true;\n  };\n  CurveEditor.prototype.onMouseMove = function(localpos, graphcanvas) {\n    var points = this.points;\n    if (!points)\n      return;\n    var s = this.selected;\n    if (s < 0)\n      return;\n    var x2 = (localpos[0] - this.margin) / (this.size[0] - this.margin * 2);\n    var y2 = (localpos[1] - this.margin) / (this.size[1] - this.margin * 2);\n    var curvepos = [localpos[0] - this.margin, localpos[1] - this.margin];\n    var max_dist = 30 / graphcanvas.ds.scale;\n    this._nearest = this.getCloserPoint(curvepos, max_dist);\n    var point = points[s];\n    if (point) {\n      var is_edge_point = s == 0 || s == points.length - 1;\n      if (!is_edge_point && (localpos[0] < -10 || localpos[0] > this.size[0] + 10 || localpos[1] < -10 || localpos[1] > this.size[1] + 10)) {\n        points.splice(s, 1);\n        this.selected = -1;\n        return;\n      }\n      if (!is_edge_point)\n        point[0] = clamp(x2, 0, 1);\n      else\n        point[0] = s == 0 ? 0 : 1;\n      point[1] = 1 - clamp(y2, 0, 1);\n      points.sort(function(a, b) {\n        return a[0] - b[0];\n      });\n      this.selected = points.indexOf(point);\n      this.must_update = true;\n    }\n  };\n  CurveEditor.prototype.onMouseUp = function(localpos, graphcanvas) {\n    this.selected = -1;\n    return false;\n  };\n  CurveEditor.prototype.getCloserPoint = function(pos2, max_dist) {\n    var points = this.points;\n    if (!points)\n      return -1;\n    max_dist = max_dist || 30;\n    var w2 = this.size[0] - this.margin * 2;\n    var h = this.size[1] - this.margin * 2;\n    var num = points.length;\n    var p2 = [0, 0];\n    var min_dist = 1e6;\n    var closest = -1;\n    for (var i2 = 0; i2 < num; ++i2) {\n      var p = points[i2];\n      p2[0] = p[0] * w2;\n      p2[1] = (1 - p[1]) * h;\n      if (p2[0] < pos2[0])\n        ;\n      var dist = vec2.distance(pos2, p2);\n      if (dist > min_dist || dist > max_dist)\n        continue;\n      closest = i2;\n      min_dist = dist;\n    }\n    return closest;\n  };\n  LiteGraph.CurveEditor = CurveEditor;\n  LiteGraph.getParameterNames = function(func) {\n    return (func + \"\").replace(/[/][/].*$/gm, \"\").replace(/\\s+/g, \"\").replace(/[/][*][^/*]*[*][/]/g, \"\").split(\"){\", 1)[0].replace(/^[^(]*[(]/, \"\").replace(/=[^,]+/g, \"\").split(\",\").filter(Boolean);\n  };\n  LiteGraph.pointerListenerAdd = function(oDOM, sEvIn, fCall, capture = false) {\n    if (!oDOM || !oDOM.addEventListener || !sEvIn || typeof fCall !== \"function\") {\n      return;\n    }\n    var sMethod = LiteGraph.pointerevents_method;\n    var sEvent = sEvIn;\n    if (sMethod == \"pointer\" && !window.PointerEvent) {\n      console.warn(\"sMethod=='pointer' && !window.PointerEvent\");\n      console.log(\"Converting pointer[\" + sEvent + \"] : down move up cancel enter TO touchstart touchmove touchend, etc ..\");\n      switch (sEvent) {\n        case \"down\": {\n          sMethod = \"touch\";\n          sEvent = \"start\";\n          break;\n        }\n        case \"move\": {\n          sMethod = \"touch\";\n          break;\n        }\n        case \"up\": {\n          sMethod = \"touch\";\n          sEvent = \"end\";\n          break;\n        }\n        case \"cancel\": {\n          sMethod = \"touch\";\n          break;\n        }\n        case \"enter\": {\n          console.log(\"debug: Should I send a move event?\");\n          break;\n        }\n        default: {\n          console.warn(\"PointerEvent not available in this browser ? The event \" + sEvent + \" would not be called\");\n        }\n      }\n    }\n    switch (sEvent) {\n      case \"down\":\n      case \"up\":\n      case \"move\":\n      case \"over\":\n      case \"out\":\n      case \"enter\": {\n        oDOM.addEventListener(sMethod + sEvent, fCall, capture);\n      }\n      case \"leave\":\n      case \"cancel\":\n      case \"gotpointercapture\":\n      case \"lostpointercapture\": {\n        if (sMethod != \"mouse\") {\n          return oDOM.addEventListener(sMethod + sEvent, fCall, capture);\n        }\n      }\n      default:\n        return oDOM.addEventListener(sEvent, fCall, capture);\n    }\n  };\n  LiteGraph.pointerListenerRemove = function(oDOM, sEvent, fCall, capture = false) {\n    if (!oDOM || !oDOM.removeEventListener || !sEvent || typeof fCall !== \"function\") {\n      return;\n    }\n    switch (sEvent) {\n      case \"down\":\n      case \"up\":\n      case \"move\":\n      case \"over\":\n      case \"out\":\n      case \"enter\": {\n        if (LiteGraph.pointerevents_method == \"pointer\" || LiteGraph.pointerevents_method == \"mouse\") {\n          oDOM.removeEventListener(LiteGraph.pointerevents_method + sEvent, fCall, capture);\n        }\n      }\n      case \"leave\":\n      case \"cancel\":\n      case \"gotpointercapture\":\n      case \"lostpointercapture\": {\n        if (LiteGraph.pointerevents_method == \"pointer\") {\n          return oDOM.removeEventListener(LiteGraph.pointerevents_method + sEvent, fCall, capture);\n        }\n      }\n      default:\n        return oDOM.removeEventListener(sEvent, fCall, capture);\n    }\n  };\n  function clamp(v2, a, b) {\n    return a > v2 ? a : b < v2 ? b : v2;\n  }\n  globalThis.clamp = clamp;\n  if (typeof window != \"undefined\" && !window[\"requestAnimationFrame\"]) {\n    window.requestAnimationFrame = window.webkitRequestAnimationFrame || window.mozRequestAnimationFrame || function(callback) {\n      window.setTimeout(callback, 1e3 / 60);\n    };\n  }\n})(globalExport);\nconst LiteGraph = globalExport.LiteGraph;\nconst LGraph = globalExport.LGraph;\nconst LLink = globalExport.LLink;\nconst LGraphNode = globalExport.LGraphNode;\nconst LGraphGroup = globalExport.LGraphGroup;\nconst DragAndScale = globalExport.DragAndScale;\nconst LGraphCanvas = globalExport.LGraphCanvas;\nconst ContextMenu = globalExport.ContextMenu;\nexport {\n  ContextMenu,\n  DragAndScale,\n  LGraph,\n  LGraphCanvas,\n  LGraphGroup,\n  LGraphNode,\n  LLink,\n  LiteGraph\n};\n//# sourceMappingURL=litegraph.es.js.map\n","import { api } from './api'\nimport { ComfyDialog as _ComfyDialog } from './ui/dialog'\nimport { toggleSwitch } from './ui/toggleSwitch'\nimport { ComfySettingsDialog } from './ui/settings'\nimport { ComfyApp, app } from './app'\nimport { TaskItem } from '@/types/apiTypes'\nimport { showSettingsDialog } from '@/services/dialogService'\nimport { useToastStore } from '@/stores/toastStore'\nimport { LGraphGroup } from '@comfyorg/litegraph'\nimport { useSettingStore } from '@/stores/settingStore'\n\nexport const ComfyDialog = _ComfyDialog\n\ntype Position2D = {\n  x: number\n  y: number\n}\n\ntype Props = {\n  parent?: HTMLElement\n  $?: (el: HTMLElement) => void\n  dataset?: DOMStringMap\n  style?: Partial<CSSStyleDeclaration>\n  for?: string\n  textContent?: string\n  [key: string]: any\n}\n\ntype Children = Element[] | Element | string | string[]\n\ntype ElementType<K extends string> = K extends keyof HTMLElementTagNameMap\n  ? HTMLElementTagNameMap[K]\n  : HTMLElement\n\nexport function $el<TTag extends string>(\n  tag: TTag,\n  propsOrChildren?: Children | Props,\n  children?: Children\n): ElementType<TTag> {\n  const split = tag.split('.')\n  const element = document.createElement(split.shift() as string)\n  if (split.length > 0) {\n    element.classList.add(...split)\n  }\n\n  if (propsOrChildren) {\n    if (typeof propsOrChildren === 'string') {\n      propsOrChildren = { textContent: propsOrChildren }\n    } else if (propsOrChildren instanceof Element) {\n      propsOrChildren = [propsOrChildren]\n    }\n    if (Array.isArray(propsOrChildren)) {\n      element.append(...propsOrChildren)\n    } else {\n      const {\n        parent,\n        $: cb,\n        dataset,\n        style,\n        ...rest\n      } = propsOrChildren as Props\n\n      if (rest.for) {\n        element.setAttribute('for', rest.for)\n      }\n\n      if (style) {\n        Object.assign(element.style, style)\n      }\n\n      if (dataset) {\n        Object.assign(element.dataset, dataset)\n      }\n\n      Object.assign(element, rest)\n      if (children) {\n        element.append(...(Array.isArray(children) ? children : [children]))\n      }\n\n      if (parent) {\n        parent.append(element)\n      }\n\n      if (cb) {\n        cb(element)\n      }\n    }\n  }\n  return element as ElementType<TTag>\n}\n\nfunction dragElement(dragEl, settings): () => void {\n  var posDiffX = 0,\n    posDiffY = 0,\n    posStartX = 0,\n    posStartY = 0,\n    newPosX = 0,\n    newPosY = 0\n  if (dragEl.getElementsByClassName('drag-handle')[0]) {\n    // if present, the handle is where you move the DIV from:\n    dragEl.getElementsByClassName('drag-handle')[0].onmousedown = dragMouseDown\n  } else {\n    // otherwise, move the DIV from anywhere inside the DIV:\n    dragEl.onmousedown = dragMouseDown\n  }\n\n  // When the element resizes (e.g. view queue) ensure it is still in the windows bounds\n  const resizeObserver = new ResizeObserver(() => {\n    ensureInBounds()\n  }).observe(dragEl)\n\n  function ensureInBounds() {\n    try {\n      newPosX = Math.min(\n        document.body.clientWidth - dragEl.clientWidth,\n        Math.max(0, dragEl.offsetLeft)\n      )\n      newPosY = Math.min(\n        document.body.clientHeight - dragEl.clientHeight,\n        Math.max(0, dragEl.offsetTop)\n      )\n\n      positionElement()\n    } catch (exception) {\n      // robust\n    }\n  }\n\n  function positionElement() {\n    if (dragEl.style.display === 'none') return\n\n    const halfWidth = document.body.clientWidth / 2\n    const anchorRight = newPosX + dragEl.clientWidth / 2 > halfWidth\n\n    // set the element's new position:\n    if (anchorRight) {\n      dragEl.style.left = 'unset'\n      dragEl.style.right =\n        document.body.clientWidth - newPosX - dragEl.clientWidth + 'px'\n    } else {\n      dragEl.style.left = newPosX + 'px'\n      dragEl.style.right = 'unset'\n    }\n\n    dragEl.style.top = newPosY + 'px'\n    dragEl.style.bottom = 'unset'\n\n    if (savePos) {\n      localStorage.setItem(\n        'Comfy.MenuPosition',\n        JSON.stringify({\n          x: dragEl.offsetLeft,\n          y: dragEl.offsetTop\n        })\n      )\n    }\n  }\n\n  function restorePos() {\n    let posString = localStorage.getItem('Comfy.MenuPosition')\n    if (posString) {\n      const pos = JSON.parse(posString) as Position2D\n      newPosX = pos.x\n      newPosY = pos.y\n      positionElement()\n      ensureInBounds()\n    }\n  }\n\n  let savePos = undefined\n  settings.addSetting({\n    id: 'Comfy.MenuPosition',\n    category: ['Comfy', 'Menu', 'MenuPosition'],\n    name: \"Save legacy menu's position\",\n    type: 'boolean',\n    defaultValue: savePos,\n    onChange(value) {\n      if (savePos === undefined && value) {\n        restorePos()\n      }\n      savePos = value\n    }\n  })\n\n  function dragMouseDown(e) {\n    e = e || window.event\n    e.preventDefault()\n    // get the mouse cursor position at startup:\n    posStartX = e.clientX\n    posStartY = e.clientY\n    document.onmouseup = closeDragElement\n    // call a function whenever the cursor moves:\n    document.onmousemove = elementDrag\n  }\n\n  function elementDrag(e) {\n    e = e || window.event\n    e.preventDefault()\n\n    dragEl.classList.add('comfy-menu-manual-pos')\n\n    // calculate the new cursor position:\n    posDiffX = e.clientX - posStartX\n    posDiffY = e.clientY - posStartY\n    posStartX = e.clientX\n    posStartY = e.clientY\n\n    newPosX = Math.min(\n      document.body.clientWidth - dragEl.clientWidth,\n      Math.max(0, dragEl.offsetLeft + posDiffX)\n    )\n    newPosY = Math.min(\n      document.body.clientHeight - dragEl.clientHeight,\n      Math.max(0, dragEl.offsetTop + posDiffY)\n    )\n\n    positionElement()\n  }\n\n  window.addEventListener('resize', () => {\n    ensureInBounds()\n  })\n\n  function closeDragElement() {\n    // stop moving when mouse button is released:\n    document.onmouseup = null\n    document.onmousemove = null\n  }\n\n  return restorePos\n}\n\nclass ComfyList {\n  #type\n  #text\n  #reverse\n  element: HTMLDivElement\n  button?: HTMLButtonElement\n\n  constructor(text, type?, reverse?) {\n    this.#text = text\n    this.#type = type || text.toLowerCase()\n    this.#reverse = reverse || false\n    this.element = $el('div.comfy-list') as HTMLDivElement\n    this.element.style.display = 'none'\n  }\n\n  get visible() {\n    return this.element.style.display !== 'none'\n  }\n\n  async load() {\n    const items = await api.getItems(this.#type)\n    this.element.replaceChildren(\n      ...Object.keys(items).flatMap((section) => [\n        $el('h4', {\n          textContent: section\n        }),\n        $el('div.comfy-list-items', [\n          ...(this.#reverse ? items[section].reverse() : items[section]).map(\n            (item: TaskItem) => {\n              // Allow items to specify a custom remove action (e.g. for interrupt current prompt)\n              const removeAction =\n                'remove' in item\n                  ? item.remove\n                  : {\n                      name: 'Delete',\n                      cb: () => api.deleteItem(this.#type, item.prompt[1])\n                    }\n              return $el('div', { textContent: item.prompt[0] + ': ' }, [\n                $el('button', {\n                  textContent: 'Load',\n                  onclick: async () => {\n                    await app.loadGraphData(\n                      item.prompt[3].extra_pnginfo.workflow,\n                      true,\n                      false\n                    )\n                    if ('outputs' in item) {\n                      app.nodeOutputs = {}\n                      for (const [key, value] of Object.entries(item.outputs)) {\n                        const realKey = item['meta']?.[key]?.display_node ?? key\n                        app.nodeOutputs[realKey] = value\n                      }\n                    }\n                  }\n                }),\n                $el('button', {\n                  textContent: removeAction.name,\n                  onclick: async () => {\n                    await removeAction.cb()\n                    await this.update()\n                  }\n                })\n              ])\n            }\n          )\n        ])\n      ]),\n      $el('div.comfy-list-actions', [\n        $el('button', {\n          textContent: 'Clear ' + this.#text,\n          onclick: async () => {\n            await api.clearItems(this.#type)\n            await this.load()\n          }\n        }),\n        $el('button', { textContent: 'Refresh', onclick: () => this.load() })\n      ])\n    )\n  }\n\n  async update() {\n    if (this.visible) {\n      await this.load()\n    }\n  }\n\n  async show() {\n    this.element.style.display = 'block'\n    this.button.textContent = 'Close'\n\n    await this.load()\n  }\n\n  hide() {\n    this.element.style.display = 'none'\n    this.button.textContent = 'View ' + this.#text\n  }\n\n  toggle() {\n    if (this.visible) {\n      this.hide()\n      return false\n    } else {\n      this.show()\n      return true\n    }\n  }\n}\n\nexport class ComfyUI {\n  app: ComfyApp\n  dialog: _ComfyDialog\n  settings: ComfySettingsDialog\n  batchCount: number\n  lastQueueSize: number\n  queue: ComfyList\n  history: ComfyList\n  autoQueueMode: string\n  graphHasChanged: boolean\n  autoQueueEnabled: boolean\n  menuHamburger: HTMLDivElement\n  menuContainer: HTMLDivElement\n  queueSize: Element\n  restoreMenuPosition: () => void\n  loadFile: () => void\n\n  constructor(app) {\n    this.app = app\n    this.dialog = new ComfyDialog()\n    this.settings = new ComfySettingsDialog(app)\n\n    this.batchCount = 1\n    this.lastQueueSize = 0\n    this.queue = new ComfyList('Queue')\n    this.history = new ComfyList('History', 'history', true)\n\n    api.addEventListener('status', () => {\n      this.queue.update()\n      this.history.update()\n    })\n\n    const confirmClear = this.settings.addSetting({\n      id: 'Comfy.ConfirmClear',\n      category: ['Comfy', 'Workflow', 'ConfirmClear'],\n      name: 'Require confirmation when clearing workflow',\n      type: 'boolean',\n      defaultValue: true\n    })\n\n    const promptFilename = this.settings.addSetting({\n      id: 'Comfy.PromptFilename',\n      category: ['Comfy', 'Workflow', 'PromptFilename'],\n      name: 'Prompt for filename when saving workflow',\n      type: 'boolean',\n      defaultValue: true\n    })\n\n    /**\n     * file format for preview\n     *\n     * format;quality\n     *\n     * ex)\n     * webp;50 -> webp, quality 50\n     * jpeg;80 -> rgb, jpeg, quality 80\n     *\n     * @type {string}\n     */\n    const previewImage = this.settings.addSetting({\n      id: 'Comfy.PreviewFormat',\n      category: ['Comfy', 'Node Widget', 'PreviewFormat'],\n      name: 'Preview image format',\n      tooltip:\n        'When displaying a preview in the image widget, convert it to a lightweight image, e.g. webp, jpeg, webp;50, etc.',\n      type: 'text',\n      defaultValue: ''\n    })\n\n    this.settings.addSetting({\n      id: 'Comfy.DisableSliders',\n      category: ['Comfy', 'Node Widget', 'DisableSliders'],\n      name: 'Disable node widget sliders',\n      type: 'boolean',\n      defaultValue: false\n    })\n\n    this.settings.addSetting({\n      id: 'Comfy.DisableFloatRounding',\n      category: ['Comfy', 'Node Widget', 'DisableFloatRounding'],\n      name: 'Disable default float widget rounding.',\n      tooltip:\n        '(requires page reload) Cannot disable round when round is set by the node in the backend.',\n      type: 'boolean',\n      defaultValue: false\n    })\n\n    this.settings.addSetting({\n      id: 'Comfy.FloatRoundingPrecision',\n      category: ['Comfy', 'Node Widget', 'FloatRoundingPrecision'],\n      name: 'Float widget rounding decimal places [0 = auto].',\n      tooltip: '(requires page reload)',\n      type: 'slider',\n      attrs: {\n        min: 0,\n        max: 6,\n        step: 1\n      },\n      defaultValue: 0\n    })\n\n    this.settings.addSetting({\n      id: 'Comfy.EnableTooltips',\n      category: ['Comfy', 'Node', 'EnableTooltips'],\n      name: 'Enable Tooltips',\n      type: 'boolean',\n      defaultValue: true\n    })\n\n    const fileInput = $el('input', {\n      id: 'comfy-file-input',\n      type: 'file',\n      accept: '.json,image/png,.latent,.safetensors,image/webp,audio/flac',\n      style: { display: 'none' },\n      parent: document.body,\n      onchange: () => {\n        app.handleFile(fileInput.files[0])\n      }\n    })\n\n    this.loadFile = () => fileInput.click()\n\n    const autoQueueModeEl = toggleSwitch(\n      'autoQueueMode',\n      [\n        {\n          text: 'instant',\n          tooltip: 'A new prompt will be queued as soon as the queue reaches 0'\n        },\n        {\n          text: 'change',\n          tooltip:\n            'A new prompt will be queued when the queue is at 0 and the graph is/has changed'\n        }\n      ],\n      {\n        onChange: (value) => {\n          this.autoQueueMode = value.item.value\n        }\n      }\n    )\n    autoQueueModeEl.style.display = 'none'\n\n    api.addEventListener('graphChanged', () => {\n      if (this.autoQueueMode === 'change' && this.autoQueueEnabled === true) {\n        if (this.lastQueueSize === 0) {\n          this.graphHasChanged = false\n          app.queuePrompt(0, this.batchCount)\n        } else {\n          this.graphHasChanged = true\n        }\n      }\n    })\n\n    this.menuHamburger = $el(\n      'div.comfy-menu-hamburger',\n      {\n        parent: document.body,\n        onclick: () => {\n          this.menuContainer.style.display = 'block'\n          this.menuHamburger.style.display = 'none'\n        }\n      },\n      [$el('div'), $el('div'), $el('div')]\n    ) as HTMLDivElement\n\n    this.menuContainer = $el('div.comfy-menu', { parent: document.body }, [\n      $el(\n        'div.drag-handle.comfy-menu-header',\n        {\n          style: {\n            overflow: 'hidden',\n            position: 'relative',\n            width: '100%',\n            cursor: 'default'\n          }\n        },\n        [\n          $el('span.drag-handle'),\n          $el('span.comfy-menu-queue-size', { $: (q) => (this.queueSize = q) }),\n          $el('div.comfy-menu-actions', [\n            $el('button.comfy-settings-btn', {\n              textContent: '⚙️',\n              onclick: showSettingsDialog\n            }),\n            $el('button.comfy-close-menu-btn', {\n              textContent: '\\u00d7',\n              onclick: () => {\n                this.menuContainer.style.display = 'none'\n                this.menuHamburger.style.display = 'flex'\n              }\n            })\n          ])\n        ]\n      ),\n      $el('button.comfy-queue-btn', {\n        id: 'queue-button',\n        textContent: 'Queue Prompt',\n        onclick: () => app.queuePrompt(0, this.batchCount)\n      }),\n      $el('div', {}, [\n        $el('label', { innerHTML: 'Extra options' }, [\n          $el('input', {\n            type: 'checkbox',\n            onchange: (i) => {\n              document.getElementById('extraOptions').style.display = i\n                .srcElement.checked\n                ? 'block'\n                : 'none'\n              this.batchCount = i.srcElement.checked\n                ? Number.parseInt(\n                    (\n                      document.getElementById(\n                        'batchCountInputRange'\n                      ) as HTMLInputElement\n                    ).value\n                  )\n                : 1\n              ;(\n                document.getElementById('autoQueueCheckbox') as HTMLInputElement\n              ).checked = false\n              this.autoQueueEnabled = false\n            }\n          })\n        ])\n      ]),\n      $el(\n        'div',\n        { id: 'extraOptions', style: { width: '100%', display: 'none' } },\n        [\n          $el('div', [\n            $el('label', { innerHTML: 'Batch count' }),\n            $el('input', {\n              id: 'batchCountInputNumber',\n              type: 'number',\n              value: this.batchCount,\n              min: '1',\n              style: { width: '35%', marginLeft: '0.4em' },\n              oninput: (i) => {\n                this.batchCount = i.target.value\n                /* Even though an <input> element with a type of range logically represents a number (since\n              it's used for numeric input), the value it holds is still treated as a string in HTML and\n              JavaScript. This behavior is consistent across all <input> elements regardless of their type\n              (like text, number, or range), where the .value property is always a string. */\n                ;(\n                  document.getElementById(\n                    'batchCountInputRange'\n                  ) as HTMLInputElement\n                ).value = this.batchCount.toString()\n              }\n            }),\n            $el('input', {\n              id: 'batchCountInputRange',\n              type: 'range',\n              min: '1',\n              max: '100',\n              value: this.batchCount,\n              oninput: (i) => {\n                this.batchCount = i.srcElement.value\n                // Note\n                ;(\n                  document.getElementById(\n                    'batchCountInputNumber'\n                  ) as HTMLInputElement\n                ).value = i.srcElement.value\n              }\n            })\n          ]),\n          $el('div', [\n            $el('label', {\n              for: 'autoQueueCheckbox',\n              innerHTML: 'Auto Queue'\n            }),\n            $el('input', {\n              id: 'autoQueueCheckbox',\n              type: 'checkbox',\n              checked: false,\n              title: 'Automatically queue prompt when the queue size hits 0',\n              onchange: (e) => {\n                this.autoQueueEnabled = e.target.checked\n                autoQueueModeEl.style.display = this.autoQueueEnabled\n                  ? ''\n                  : 'none'\n              }\n            }),\n            autoQueueModeEl\n          ])\n        ]\n      ),\n      $el('div.comfy-menu-btns', [\n        $el('button', {\n          id: 'queue-front-button',\n          textContent: 'Queue Front',\n          onclick: () => app.queuePrompt(-1, this.batchCount)\n        }),\n        $el('button', {\n          $: (b) => (this.queue.button = b as HTMLButtonElement),\n          id: 'comfy-view-queue-button',\n          textContent: 'View Queue',\n          onclick: () => {\n            this.history.hide()\n            this.queue.toggle()\n          }\n        }),\n        $el('button', {\n          $: (b) => (this.history.button = b as HTMLButtonElement),\n          id: 'comfy-view-history-button',\n          textContent: 'View History',\n          onclick: () => {\n            this.queue.hide()\n            this.history.toggle()\n          }\n        })\n      ]),\n      this.queue.element,\n      this.history.element,\n      $el('button', {\n        id: 'comfy-save-button',\n        textContent: 'Save',\n        onclick: () => {\n          let filename = 'workflow.json'\n          if (promptFilename.value) {\n            filename = prompt('Save workflow as:', filename)\n            if (!filename) return\n            if (!filename.toLowerCase().endsWith('.json')) {\n              filename += '.json'\n            }\n          }\n          app.graphToPrompt().then((p) => {\n            const json = JSON.stringify(p.workflow, null, 2) // convert the data to a JSON string\n            const blob = new Blob([json], { type: 'application/json' })\n            const url = URL.createObjectURL(blob)\n            const a = $el('a', {\n              href: url,\n              download: filename,\n              style: { display: 'none' },\n              parent: document.body\n            })\n            a.click()\n            setTimeout(function () {\n              a.remove()\n              window.URL.revokeObjectURL(url)\n            }, 0)\n          })\n        }\n      }),\n      $el('button', {\n        id: 'comfy-dev-save-api-button',\n        textContent: 'Save (API Format)',\n        style: { width: '100%', display: 'none' },\n        onclick: () => {\n          let filename = 'workflow_api.json'\n          if (promptFilename.value) {\n            filename = prompt('Save workflow (API) as:', filename)\n            if (!filename) return\n            if (!filename.toLowerCase().endsWith('.json')) {\n              filename += '.json'\n            }\n          }\n          app.graphToPrompt().then((p) => {\n            const json = JSON.stringify(p.output, null, 2) // convert the data to a JSON string\n            const blob = new Blob([json], { type: 'application/json' })\n            const url = URL.createObjectURL(blob)\n            const a = $el('a', {\n              href: url,\n              download: filename,\n              style: { display: 'none' },\n              parent: document.body\n            })\n            a.click()\n            setTimeout(function () {\n              a.remove()\n              window.URL.revokeObjectURL(url)\n            }, 0)\n          })\n        }\n      }),\n      $el('button', {\n        id: 'comfy-load-button',\n        textContent: 'Load',\n        onclick: () => fileInput.click()\n      }),\n      $el('button', {\n        id: 'comfy-refresh-button',\n        textContent: 'Refresh',\n        onclick: () => app.refreshComboInNodes()\n      }),\n      $el('button', {\n        id: 'comfy-clipspace-button',\n        textContent: 'Clipspace',\n        onclick: () => app.openClipspace()\n      }),\n      $el('button', {\n        id: 'comfy-clear-button',\n        textContent: 'Clear',\n        onclick: () => {\n          if (!confirmClear.value || confirm('Clear workflow?')) {\n            app.clean()\n            app.graph.clear()\n            app.resetView()\n            api.dispatchEvent(new CustomEvent('graphCleared'))\n          }\n        }\n      }),\n      $el('button', {\n        id: 'comfy-load-default-button',\n        textContent: 'Load Default',\n        onclick: async () => {\n          if (!confirmClear.value || confirm('Load default workflow?')) {\n            app.resetView()\n            await app.loadGraphData()\n          }\n        }\n      }),\n      $el('button', {\n        id: 'comfy-reset-view-button',\n        textContent: 'Reset View',\n        onclick: async () => {\n          app.resetView()\n        }\n      }),\n      $el('button', {\n        id: 'comfy-group-selected-nodes-button',\n        textContent: 'Group',\n        hidden: true,\n        onclick: () => {\n          if (\n            !app.canvas.selected_nodes ||\n            Object.keys(app.canvas.selected_nodes).length === 0\n          ) {\n            useToastStore().add({\n              severity: 'error',\n              summary: 'No nodes selected',\n              detail: 'Please select nodes to group',\n              life: 3000\n            })\n            return\n          }\n          const group = new LGraphGroup()\n          const padding = useSettingStore().get(\n            'Comfy.GroupSelectedNodes.Padding'\n          )\n          group.addNodes(Object.values(app.canvas.selected_nodes), padding)\n          app.canvas.graph.add(group)\n        }\n      })\n    ]) as HTMLDivElement\n\n    this.settings.addSetting({\n      id: 'Comfy.DevMode',\n      name: 'Enable dev mode options (API save, etc.)',\n      type: 'boolean',\n      defaultValue: false,\n      onChange: function (value) {\n        document.getElementById('comfy-dev-save-api-button').style.display =\n          value ? 'flex' : 'none'\n      }\n    })\n\n    this.restoreMenuPosition = dragElement(this.menuContainer, this.settings)\n\n    this.setStatus({ exec_info: { queue_remaining: 'X' } })\n  }\n\n  setStatus(status) {\n    this.queueSize.textContent =\n      'Queue size: ' + (status ? status.exec_info.queue_remaining : 'ERR')\n    if (status) {\n      if (\n        this.lastQueueSize != 0 &&\n        status.exec_info.queue_remaining == 0 &&\n        this.autoQueueEnabled &&\n        (this.autoQueueMode === 'instant' || this.graphHasChanged) &&\n        !app.lastExecutionError\n      ) {\n        app.queuePrompt(0, this.batchCount)\n        status.exec_info.queue_remaining += this.batchCount\n        this.graphHasChanged = false\n      }\n      this.lastQueueSize = status.exec_info.queue_remaining\n    }\n  }\n}\n","import { $el, ComfyDialog } from './ui'\nimport { api } from './api'\nimport type { ComfyApp } from './app'\n\n$el('style', {\n  textContent: `\n        .comfy-logging-logs {\n            display: grid;\n            color: var(--fg-color);\n            white-space: pre-wrap;\n        }\n        .comfy-logging-log {\n            display: contents;\n        }\n        .comfy-logging-title {\n            background: var(--tr-even-bg-color);\n            font-weight: bold;\n            margin-bottom: 5px;\n            text-align: center;\n        }\n        .comfy-logging-log div {\n            background: var(--row-bg);\n            padding: 5px;\n        }\n    `,\n  parent: document.body\n})\n\n// Stringify function supporting max depth and removal of circular references\n// https://stackoverflow.com/a/57193345\nfunction stringify(val, depth, replacer, space, onGetObjID?) {\n  depth = isNaN(+depth) ? 1 : depth\n  var recursMap = new WeakMap()\n  function _build(val, depth, o?, a?, r?) {\n    // (JSON.stringify() has it's own rules, which we respect here by using it for property iteration)\n    return !val || typeof val != 'object'\n      ? val\n      : ((r = recursMap.has(val)),\n        recursMap.set(val, true),\n        (a = Array.isArray(val)),\n        r\n          ? (o = (onGetObjID && onGetObjID(val)) || null)\n          : JSON.stringify(val, function (k, v) {\n              if (a || depth > 0) {\n                if (replacer) v = replacer(k, v)\n                if (!k) return (a = Array.isArray(v)), (val = v)\n                !o && (o = a ? [] : {})\n                o[k] = _build(v, a ? depth : depth - 1)\n              }\n            }),\n        o === void 0 ? (a ? [] : {}) : o)\n  }\n  return JSON.stringify(_build(val, depth), null, space)\n}\n\nconst jsonReplacer = (k, v, ui) => {\n  if (v instanceof Array && v.length === 1) {\n    v = v[0]\n  }\n  if (v instanceof Date) {\n    v = v.toISOString()\n    if (ui) {\n      v = v.split('T')[1]\n    }\n  }\n  if (v instanceof Error) {\n    let err = ''\n    if (v.name) err += v.name + '\\n'\n    if (v.message) err += v.message + '\\n'\n    if (v.stack) err += v.stack + '\\n'\n    if (!err) {\n      err = v.toString()\n    }\n    v = err\n  }\n  return v\n}\n\nconst fileInput: HTMLInputElement = $el('input', {\n  type: 'file',\n  accept: '.json',\n  style: { display: 'none' },\n  parent: document.body\n}) as HTMLInputElement\n\nclass ComfyLoggingDialog extends ComfyDialog {\n  logging: any\n\n  constructor(logging) {\n    super()\n    this.logging = logging\n  }\n\n  clear() {\n    this.logging.clear()\n    this.show()\n  }\n\n  export() {\n    const blob = new Blob(\n      [stringify([...this.logging.entries], 20, jsonReplacer, '\\t')],\n      {\n        type: 'application/json'\n      }\n    )\n    const url = URL.createObjectURL(blob)\n    const a = $el('a', {\n      href: url,\n      download: `comfyui-logs-${Date.now()}.json`,\n      style: { display: 'none' },\n      parent: document.body\n    })\n    a.click()\n    setTimeout(function () {\n      a.remove()\n      window.URL.revokeObjectURL(url)\n    }, 0)\n  }\n\n  import() {\n    fileInput.onchange = () => {\n      const reader = new FileReader()\n      reader.onload = () => {\n        fileInput.remove()\n        try {\n          const obj = JSON.parse(reader.result as string)\n          if (obj instanceof Array) {\n            this.show(obj)\n          } else {\n            throw new Error('Invalid file selected.')\n          }\n        } catch (error) {\n          alert('Unable to load logs: ' + error.message)\n        }\n      }\n      reader.readAsText(fileInput.files[0])\n    }\n    fileInput.click()\n  }\n\n  createButtons() {\n    return [\n      $el('button', {\n        type: 'button',\n        textContent: 'Clear',\n        onclick: () => this.clear()\n      }),\n      $el('button', {\n        type: 'button',\n        textContent: 'Export logs...',\n        onclick: () => this.export()\n      }),\n      $el('button', {\n        type: 'button',\n        textContent: 'View exported logs...',\n        onclick: () => this.import()\n      }),\n      ...super.createButtons()\n    ]\n  }\n\n  getTypeColor(type) {\n    switch (type) {\n      case 'error':\n        return 'red'\n      case 'warn':\n        return 'orange'\n      case 'debug':\n        return 'dodgerblue'\n    }\n  }\n\n  show(entries?: any[]) {\n    if (!entries) entries = this.logging.entries\n    this.element.style.width = '100%'\n    const cols = {\n      source: 'Source',\n      type: 'Type',\n      timestamp: 'Timestamp',\n      message: 'Message'\n    }\n    const keys = Object.keys(cols)\n    const headers = Object.values(cols).map((title) =>\n      $el('div.comfy-logging-title', {\n        textContent: title\n      })\n    )\n    const rows = entries.map((entry, i) => {\n      return $el(\n        'div.comfy-logging-log',\n        {\n          $: (el) =>\n            el.style.setProperty(\n              '--row-bg',\n              `var(--tr-${i % 2 ? 'even' : 'odd'}-bg-color)`\n            )\n        },\n        keys.map((key) => {\n          let v = entry[key]\n          let color\n          if (key === 'type') {\n            color = this.getTypeColor(v)\n          } else {\n            v = jsonReplacer(key, v, true)\n\n            if (typeof v === 'object') {\n              v = stringify(v, 5, jsonReplacer, '  ')\n            }\n          }\n\n          return $el('div', {\n            style: {\n              color\n            },\n            textContent: v\n          })\n        })\n      )\n    })\n\n    const grid = $el(\n      'div.comfy-logging-logs',\n      {\n        style: {\n          gridTemplateColumns: `repeat(${headers.length}, 1fr)`\n        }\n      },\n      [...headers, ...rows]\n    )\n    const els = [grid]\n    if (!this.logging.enabled) {\n      els.unshift(\n        $el('h3', {\n          style: { textAlign: 'center' },\n          textContent: 'Logging is disabled'\n        })\n      )\n    }\n    super.show($el('div', els))\n  }\n}\n\nexport class ComfyLogging {\n  /**\n   * @type Array<{ source: string, type: string, timestamp: Date, message: any }>\n   */\n  entries = []\n\n  #enabled\n  #console = {}\n\n  app: ComfyApp\n  dialog: ComfyLoggingDialog\n\n  get enabled() {\n    return this.#enabled\n  }\n\n  set enabled(value) {\n    if (value === this.#enabled) return\n    if (value) {\n      this.patchConsole()\n    } else {\n      this.unpatchConsole()\n    }\n    this.#enabled = value\n  }\n\n  constructor(app) {\n    this.app = app\n\n    this.dialog = new ComfyLoggingDialog(this)\n    this.addSetting()\n    this.catchUnhandled()\n    this.addInitData()\n  }\n\n  addSetting() {\n    const settingId: string = 'Comfy.Logging.Enabled'\n    const htmlSettingId = settingId.replaceAll('.', '-')\n    const setting = this.app.ui.settings.addSetting({\n      id: settingId,\n      name: settingId,\n      defaultValue: true,\n      onChange: (value) => {\n        this.enabled = value\n      },\n      type: (name, setter, value) => {\n        return $el('tr', [\n          $el('td', [\n            $el('label', {\n              textContent: 'Logging',\n              for: htmlSettingId\n            })\n          ]),\n          $el('td', [\n            $el('input', {\n              id: htmlSettingId,\n              type: 'checkbox',\n              checked: value,\n              onchange: (event) => {\n                setter(event.target.checked)\n              }\n            }),\n            $el('button', {\n              textContent: 'View Logs',\n              onclick: () => {\n                this.app.ui.settings.element.close()\n                this.dialog.show()\n              },\n              style: {\n                fontSize: '14px',\n                display: 'block',\n                marginTop: '5px'\n              }\n            })\n          ])\n        ])\n      }\n    })\n    this.enabled = setting.value\n  }\n\n  patchConsole() {\n    // Capture common console outputs\n    const self = this\n    for (const type of ['log', 'warn', 'error', 'debug']) {\n      const orig = console[type]\n      this.#console[type] = orig\n      console[type] = function () {\n        orig.apply(console, arguments)\n        self.addEntry('console', type, ...arguments)\n      }\n    }\n  }\n\n  unpatchConsole() {\n    // Restore original console functions\n    for (const type of Object.keys(this.#console)) {\n      console[type] = this.#console[type]\n    }\n    this.#console = {}\n  }\n\n  catchUnhandled() {\n    // Capture uncaught errors\n    window.addEventListener('error', (e) => {\n      this.addEntry('window', 'error', e.error ?? 'Unknown error')\n      return false\n    })\n\n    window.addEventListener('unhandledrejection', (e) => {\n      this.addEntry('unhandledrejection', 'error', e.reason ?? 'Unknown error')\n    })\n  }\n\n  clear() {\n    this.entries = []\n  }\n\n  addEntry(source, type, ...args) {\n    if (this.enabled) {\n      this.entries.push({\n        source,\n        type,\n        timestamp: new Date(),\n        message: args\n      })\n    }\n  }\n\n  log(source, ...args) {\n    this.addEntry(source, 'log', ...args)\n  }\n\n  async addInitData() {\n    if (!this.enabled) return\n    const source = 'ComfyUI.Logging'\n    this.addEntry(source, 'debug', { UserAgent: navigator.userAgent })\n    const systemStats = await api.getSystemStats()\n    this.addEntry(source, 'debug', systemStats)\n  }\n}\n","import { app, ANIM_PREVIEW_WIDGET } from './app'\nimport { LGraphCanvas, LGraphNode, LiteGraph } from '@comfyorg/litegraph'\nimport type { Vector4 } from '@comfyorg/litegraph'\n\nconst SIZE = Symbol()\n\ninterface Rect {\n  height: number\n  width: number\n  x: number\n  y: number\n}\n\nexport interface DOMWidget<T = HTMLElement> {\n  type: string\n  name: string\n  computedHeight?: number\n  element?: T\n  options: any\n  value?: any\n  y?: number\n  callback?: (value: any) => void\n  draw?: (\n    ctx: CanvasRenderingContext2D,\n    node: LGraphNode,\n    widgetWidth: number,\n    y: number,\n    widgetHeight: number\n  ) => void\n  onRemove?: () => void\n}\n\nfunction intersect(a: Rect, b: Rect): Vector4 | null {\n  const x = Math.max(a.x, b.x)\n  const num1 = Math.min(a.x + a.width, b.x + b.width)\n  const y = Math.max(a.y, b.y)\n  const num2 = Math.min(a.y + a.height, b.y + b.height)\n  if (num1 >= x && num2 >= y) return [x, y, num1 - x, num2 - y]\n  else return null\n}\n\nfunction getClipPath(\n  node: LGraphNode,\n  element: HTMLElement,\n  canvasRect: DOMRect\n): string {\n  const selectedNode: LGraphNode = Object.values(\n    app.canvas.selected_nodes\n  )[0] as LGraphNode\n  if (selectedNode && selectedNode !== node) {\n    const elRect = element.getBoundingClientRect()\n    const MARGIN = 7\n    const scale = app.canvas.ds.scale\n\n    const bounding = selectedNode.getBounding()\n    const intersection = intersect(\n      {\n        x: elRect.x / scale - canvasRect.left,\n        y: elRect.y / scale - canvasRect.top,\n        width: elRect.width / scale,\n        height: elRect.height / scale\n      },\n      {\n        x: selectedNode.pos[0] + app.canvas.ds.offset[0] - MARGIN,\n        y:\n          selectedNode.pos[1] +\n          app.canvas.ds.offset[1] -\n          LiteGraph.NODE_TITLE_HEIGHT -\n          MARGIN,\n        width: bounding[2] + MARGIN + MARGIN,\n        height: bounding[3] + MARGIN + MARGIN\n      }\n    )\n\n    if (!intersection) {\n      return ''\n    }\n\n    const clipX = canvasRect.left + intersection[0] - elRect.x / scale + 'px'\n    const clipY = canvasRect.top + intersection[1] - elRect.y / scale + 'px'\n    const clipWidth = intersection[2] + 'px'\n    const clipHeight = intersection[3] + 'px'\n    const path = `polygon(0% 0%, 0% 100%, ${clipX} 100%, ${clipX} ${clipY}, calc(${clipX} + ${clipWidth}) ${clipY}, calc(${clipX} + ${clipWidth}) calc(${clipY} + ${clipHeight}), ${clipX} calc(${clipY} + ${clipHeight}), ${clipX} 100%, 100% 100%, 100% 0%)`\n    return path\n  }\n  return ''\n}\n\nfunction computeSize(size: [number, number]): void {\n  if (this.widgets?.[0]?.last_y == null) return\n\n  let y = this.widgets[0].last_y\n  let freeSpace = size[1] - y\n\n  let widgetHeight = 0\n  let dom = []\n  for (const w of this.widgets) {\n    if (w.type === 'converted-widget') {\n      // Ignore\n      delete w.computedHeight\n    } else if (w.computeSize) {\n      widgetHeight += w.computeSize()[1] + 4\n    } else if (w.element) {\n      // Extract DOM widget size info\n      const styles = getComputedStyle(w.element)\n      let minHeight =\n        w.options.getMinHeight?.() ??\n        parseInt(styles.getPropertyValue('--comfy-widget-min-height'))\n      let maxHeight =\n        w.options.getMaxHeight?.() ??\n        parseInt(styles.getPropertyValue('--comfy-widget-max-height'))\n\n      let prefHeight =\n        w.options.getHeight?.() ??\n        styles.getPropertyValue('--comfy-widget-height')\n      if (prefHeight.endsWith?.('%')) {\n        prefHeight =\n          size[1] *\n          (parseFloat(prefHeight.substring(0, prefHeight.length - 1)) / 100)\n      } else {\n        prefHeight = parseInt(prefHeight)\n        if (isNaN(minHeight)) {\n          minHeight = prefHeight\n        }\n      }\n      if (isNaN(minHeight)) {\n        minHeight = 50\n      }\n      if (!isNaN(maxHeight)) {\n        if (!isNaN(prefHeight)) {\n          prefHeight = Math.min(prefHeight, maxHeight)\n        } else {\n          prefHeight = maxHeight\n        }\n      }\n      dom.push({\n        minHeight,\n        prefHeight,\n        w\n      })\n    } else {\n      widgetHeight += LiteGraph.NODE_WIDGET_HEIGHT + 4\n    }\n  }\n\n  freeSpace -= widgetHeight\n\n  // Calculate sizes with all widgets at their min height\n  const prefGrow = [] // Nodes that want to grow to their prefd size\n  const canGrow = [] // Nodes that can grow to auto size\n  let growBy = 0\n  for (const d of dom) {\n    freeSpace -= d.minHeight\n    if (isNaN(d.prefHeight)) {\n      canGrow.push(d)\n      d.w.computedHeight = d.minHeight\n    } else {\n      const diff = d.prefHeight - d.minHeight\n      if (diff > 0) {\n        prefGrow.push(d)\n        growBy += diff\n        d.diff = diff\n      } else {\n        d.w.computedHeight = d.minHeight\n      }\n    }\n  }\n\n  if (this.imgs && !this.widgets.find((w) => w.name === ANIM_PREVIEW_WIDGET)) {\n    // Allocate space for image\n    freeSpace -= 220\n  }\n\n  this.freeWidgetSpace = freeSpace\n\n  if (freeSpace < 0) {\n    // Not enough space for all widgets so we need to grow\n    size[1] -= freeSpace\n    this.graph.setDirtyCanvas(true)\n  } else {\n    // Share the space between each\n    const growDiff = freeSpace - growBy\n    if (growDiff > 0) {\n      // All pref sizes can be fulfilled\n      freeSpace = growDiff\n      for (const d of prefGrow) {\n        d.w.computedHeight = d.prefHeight\n      }\n    } else {\n      // We need to grow evenly\n      const shared = -growDiff / prefGrow.length\n      for (const d of prefGrow) {\n        d.w.computedHeight = d.prefHeight - shared\n      }\n      freeSpace = 0\n    }\n\n    if (freeSpace > 0 && canGrow.length) {\n      // Grow any that are auto height\n      const shared = freeSpace / canGrow.length\n      for (const d of canGrow) {\n        d.w.computedHeight += shared\n      }\n    }\n  }\n\n  // Position each of the widgets\n  for (const w of this.widgets) {\n    w.y = y\n    if (w.computedHeight) {\n      y += w.computedHeight\n    } else if (w.computeSize) {\n      y += w.computeSize()[1] + 4\n    } else {\n      y += LiteGraph.NODE_WIDGET_HEIGHT + 4\n    }\n  }\n}\n\n// Override the compute visible nodes function to allow us to hide/show DOM elements when the node goes offscreen\nconst elementWidgets = new Set()\n//@ts-ignore\nconst computeVisibleNodes = LGraphCanvas.prototype.computeVisibleNodes\n//@ts-ignore\nLGraphCanvas.prototype.computeVisibleNodes = function (): LGraphNode[] {\n  const visibleNodes = computeVisibleNodes.apply(this, arguments)\n  // @ts-expect-error\n  for (const node of app.graph._nodes) {\n    if (elementWidgets.has(node)) {\n      const hidden = visibleNodes.indexOf(node) === -1\n      for (const w of node.widgets) {\n        if (w.element) {\n          w.element.dataset.isInVisibleNodes = hidden ? 'false' : 'true'\n          const shouldOtherwiseHide = w.element.dataset.shouldHide === 'true'\n          const isCollapsed = w.element.dataset.collapsed === 'true'\n          const wasHidden = w.element.hidden\n          const actualHidden = hidden || shouldOtherwiseHide || isCollapsed\n          w.element.hidden = actualHidden\n          w.element.style.display = actualHidden ? 'none' : null\n          if (actualHidden && !wasHidden) {\n            w.options.onHide?.(w)\n          }\n        }\n      }\n    }\n  }\n\n  return visibleNodes\n}\n\nlet enableDomClipping = true\n\nexport function addDomClippingSetting(): void {\n  app.ui.settings.addSetting({\n    id: 'Comfy.DOMClippingEnabled',\n    category: ['Comfy', 'Node', 'DOMClippingEnabled'],\n    name: 'Enable DOM element clipping (enabling may reduce performance)',\n    type: 'boolean',\n    defaultValue: enableDomClipping,\n    onChange(value) {\n      enableDomClipping = !!value\n    }\n  })\n}\n\nLGraphNode.prototype.addDOMWidget = function (\n  name: string,\n  type: string,\n  element: HTMLElement,\n  options: Record<string, any>\n): DOMWidget {\n  options = { hideOnZoom: true, selectOn: ['focus', 'click'], ...options }\n\n  if (!element.parentElement) {\n    app.canvasContainer.append(element)\n  }\n  element.hidden = true\n  element.style.display = 'none'\n\n  let mouseDownHandler\n  if (element.blur) {\n    mouseDownHandler = (event) => {\n      if (!element.contains(event.target)) {\n        element.blur()\n      }\n    }\n    document.addEventListener('mousedown', mouseDownHandler)\n  }\n\n  const { nodeData } = this.constructor\n  const tooltip = (nodeData?.input.required?.[name] ??\n    nodeData?.input.optional?.[name])?.[1]?.tooltip\n  if (tooltip && !element.title) {\n    element.title = tooltip\n  }\n\n  const widget: DOMWidget = {\n    type,\n    name,\n    get value() {\n      return options.getValue?.() ?? undefined\n    },\n    set value(v) {\n      options.setValue?.(v)\n      widget.callback?.(widget.value)\n    },\n    draw: function (\n      ctx: CanvasRenderingContext2D,\n      node: LGraphNode,\n      widgetWidth: number,\n      y: number,\n      widgetHeight: number\n    ) {\n      if (widget.computedHeight == null) {\n        computeSize.call(node, node.size)\n      }\n\n      const hidden =\n        (!!options.hideOnZoom && app.canvas.ds.scale < 0.5) ||\n        widget.computedHeight <= 0 ||\n        widget.type === 'converted-widget' ||\n        widget.type === 'hidden'\n      element.dataset.shouldHide = hidden ? 'true' : 'false'\n      const isInVisibleNodes = element.dataset.isInVisibleNodes === 'true'\n      const isCollapsed = element.dataset.collapsed === 'true'\n      const actualHidden = hidden || !isInVisibleNodes || isCollapsed\n      const wasHidden = element.hidden\n      element.hidden = actualHidden\n      element.style.display = actualHidden ? 'none' : null\n      if (actualHidden && !wasHidden) {\n        widget.options.onHide?.(widget)\n      }\n      if (actualHidden) {\n        return\n      }\n\n      const margin = 10\n      const elRect = ctx.canvas.getBoundingClientRect()\n      const transform = new DOMMatrix()\n        .scaleSelf(\n          elRect.width / ctx.canvas.width,\n          elRect.height / ctx.canvas.height\n        )\n        .multiplySelf(ctx.getTransform())\n        .translateSelf(margin, margin + y)\n\n      const scale = new DOMMatrix().scaleSelf(transform.a, transform.d)\n\n      Object.assign(element.style, {\n        transformOrigin: '0 0',\n        transform: scale,\n        left: `${transform.a + transform.e}px`,\n        top: `${transform.d + transform.f}px`,\n        width: `${widgetWidth - margin * 2}px`,\n        height: `${(widget.computedHeight ?? 50) - margin * 2}px`,\n        position: 'absolute',\n        // @ts-expect-error\n        zIndex: app.graph._nodes.indexOf(node)\n      })\n\n      if (enableDomClipping) {\n        element.style.clipPath = getClipPath(node, element, elRect)\n        element.style.willChange = 'clip-path'\n      }\n\n      this.options.onDraw?.(widget)\n    },\n    element,\n    options,\n    onRemove() {\n      if (mouseDownHandler) {\n        document.removeEventListener('mousedown', mouseDownHandler)\n      }\n      element.remove()\n    }\n  }\n\n  for (const evt of options.selectOn) {\n    element.addEventListener(evt, () => {\n      app.canvas.selectNode(this)\n      app.canvas.bringToFront(this)\n    })\n  }\n\n  this.addCustomWidget(widget)\n  elementWidgets.add(this)\n\n  const collapse = this.collapse\n  this.collapse = function () {\n    collapse.apply(this, arguments)\n    if (this.flags?.collapsed) {\n      element.hidden = true\n      element.style.display = 'none'\n    }\n    element.dataset.collapsed = this.flags?.collapsed ? 'true' : 'false'\n  }\n\n  const onRemoved = this.onRemoved\n  this.onRemoved = function () {\n    element.remove()\n    elementWidgets.delete(this)\n    onRemoved?.apply(this, arguments)\n  }\n\n  if (!this[SIZE]) {\n    this[SIZE] = true\n    const onResize = this.onResize\n    this.onResize = function (size) {\n      options.beforeResize?.call(widget, this)\n      computeSize.call(this, size)\n      onResize?.apply(this, arguments)\n      options.afterResize?.call(widget, this)\n    }\n  }\n\n  return widget\n}\n","import { api } from './api'\nimport './domWidget'\nimport type { ComfyApp } from './app'\nimport type { IWidget, LGraphNode } from '@comfyorg/litegraph'\nimport { ComfyNodeDef } from '@/types/apiTypes'\nimport { useSettingStore } from '@/stores/settingStore'\n\nexport type ComfyWidgetConstructor = (\n  node: LGraphNode,\n  inputName: string,\n  inputData: ComfyNodeDef,\n  app?: ComfyApp,\n  widgetName?: string\n) => { widget: IWidget; minWidth?: number; minHeight?: number }\n\nlet controlValueRunBefore = false\nexport function updateControlWidgetLabel(widget) {\n  let replacement = 'after'\n  let find = 'before'\n  if (controlValueRunBefore) {\n    ;[find, replacement] = [replacement, find]\n  }\n  widget.label = (widget.label ?? widget.name).replace(find, replacement)\n}\n\nconst IS_CONTROL_WIDGET = Symbol()\nconst HAS_EXECUTED = Symbol()\n\nfunction getNumberDefaults(\n  inputData: ComfyNodeDef,\n  defaultStep,\n  precision,\n  enable_rounding\n) {\n  let defaultVal = inputData[1]['default']\n  let { min, max, step, round } = inputData[1]\n\n  if (defaultVal == undefined) defaultVal = 0\n  if (min == undefined) min = 0\n  if (max == undefined) max = 2048\n  if (step == undefined) step = defaultStep\n  // precision is the number of decimal places to show.\n  // by default, display the the smallest number of decimal places such that changes of size step are visible.\n  if (precision == undefined) {\n    precision = Math.max(-Math.floor(Math.log10(step)), 0)\n  }\n\n  if (enable_rounding && (round == undefined || round === true)) {\n    // by default, round the value to those decimal places shown.\n    round = Math.round(1000000 * Math.pow(0.1, precision)) / 1000000\n  }\n\n  return {\n    val: defaultVal,\n    config: { min, max, step: 10.0 * step, round, precision }\n  }\n}\n\nexport function addValueControlWidget(\n  node,\n  targetWidget,\n  defaultValue = 'randomize',\n  values,\n  widgetName,\n  inputData: ComfyNodeDef\n) {\n  let name = inputData[1]?.control_after_generate\n  if (typeof name !== 'string') {\n    name = widgetName\n  }\n  const widgets = addValueControlWidgets(\n    node,\n    targetWidget,\n    defaultValue,\n    {\n      addFilterList: false,\n      controlAfterGenerateName: name\n    },\n    inputData\n  )\n  return widgets[0]\n}\n\nexport function addValueControlWidgets(\n  node,\n  targetWidget,\n  defaultValue = 'randomize',\n  options,\n  inputData: ComfyNodeDef\n) {\n  if (!defaultValue) defaultValue = 'randomize'\n  if (!options) options = {}\n\n  const getName = (defaultName, optionName) => {\n    let name = defaultName\n    if (options[optionName]) {\n      name = options[optionName]\n    } else if (typeof inputData?.[1]?.[defaultName] === 'string') {\n      name = inputData?.[1]?.[defaultName]\n    } else if (inputData?.[1]?.control_prefix) {\n      name = inputData?.[1]?.control_prefix + ' ' + name\n    }\n    return name\n  }\n\n  const widgets = []\n  const valueControl = node.addWidget(\n    'combo',\n    getName('control_after_generate', 'controlAfterGenerateName'),\n    defaultValue,\n    function () {},\n    {\n      values: ['fixed', 'increment', 'decrement', 'randomize'],\n      serialize: false // Don't include this in prompt.\n    }\n  )\n  valueControl.tooltip =\n    'Allows the linked widget to be changed automatically, for example randomizing the noise seed.'\n  valueControl[IS_CONTROL_WIDGET] = true\n  updateControlWidgetLabel(valueControl)\n  widgets.push(valueControl)\n\n  const isCombo = targetWidget.type === 'combo'\n  let comboFilter\n  if (isCombo) {\n    valueControl.options.values.push('increment-wrap')\n  }\n  if (isCombo && options.addFilterList !== false) {\n    comboFilter = node.addWidget(\n      'string',\n      getName('control_filter_list', 'controlFilterListName'),\n      '',\n      function () {},\n      {\n        serialize: false // Don't include this in prompt.\n      }\n    )\n    updateControlWidgetLabel(comboFilter)\n    comboFilter.tooltip =\n      \"Allows for filtering the list of values when changing the value via the control generate mode. Allows for RegEx matches in the format /abc/ to only filter to values containing 'abc'.\"\n\n    widgets.push(comboFilter)\n  }\n\n  const applyWidgetControl = () => {\n    var v = valueControl.value\n\n    if (isCombo && v !== 'fixed') {\n      let values = targetWidget.options.values\n      const filter = comboFilter?.value\n      if (filter) {\n        let check\n        if (filter.startsWith('/') && filter.endsWith('/')) {\n          try {\n            const regex = new RegExp(filter.substring(1, filter.length - 1))\n            check = (item) => regex.test(item)\n          } catch (error) {\n            console.error(\n              'Error constructing RegExp filter for node ' + node.id,\n              filter,\n              error\n            )\n          }\n        }\n        if (!check) {\n          const lower = filter.toLocaleLowerCase()\n          check = (item) => item.toLocaleLowerCase().includes(lower)\n        }\n        values = values.filter((item) => check(item))\n        if (!values.length && targetWidget.options.values.length) {\n          console.warn(\n            'Filter for node ' + node.id + ' has filtered out all items',\n            filter\n          )\n        }\n      }\n      let current_index = values.indexOf(targetWidget.value)\n      let current_length = values.length\n\n      switch (v) {\n        case 'increment':\n          current_index += 1\n          break\n        case 'increment-wrap':\n          current_index += 1\n          if (current_index >= current_length) {\n            current_index = 0\n          }\n          break\n        case 'decrement':\n          current_index -= 1\n          break\n        case 'randomize':\n          current_index = Math.floor(Math.random() * current_length)\n          break\n        default:\n          break\n      }\n      current_index = Math.max(0, current_index)\n      current_index = Math.min(current_length - 1, current_index)\n      if (current_index >= 0) {\n        let value = values[current_index]\n        targetWidget.value = value\n        targetWidget.callback(value)\n      }\n    } else {\n      //number\n      let min = targetWidget.options.min\n      let max = targetWidget.options.max\n      // limit to something that javascript can handle\n      max = Math.min(1125899906842624, max)\n      min = Math.max(-1125899906842624, min)\n      let range = (max - min) / (targetWidget.options.step / 10)\n\n      //adjust values based on valueControl Behaviour\n      switch (v) {\n        case 'fixed':\n          break\n        case 'increment':\n          targetWidget.value += targetWidget.options.step / 10\n          break\n        case 'decrement':\n          targetWidget.value -= targetWidget.options.step / 10\n          break\n        case 'randomize':\n          targetWidget.value =\n            Math.floor(Math.random() * range) *\n              (targetWidget.options.step / 10) +\n            min\n          break\n        default:\n          break\n      }\n      /*check if values are over or under their respective\n       * ranges and set them to min or max.*/\n      if (targetWidget.value < min) targetWidget.value = min\n\n      if (targetWidget.value > max) targetWidget.value = max\n      targetWidget.callback(targetWidget.value)\n    }\n  }\n\n  valueControl.beforeQueued = () => {\n    if (controlValueRunBefore) {\n      // Don't run on first execution\n      if (valueControl[HAS_EXECUTED]) {\n        applyWidgetControl()\n      }\n    }\n    valueControl[HAS_EXECUTED] = true\n  }\n\n  valueControl.afterQueued = () => {\n    if (!controlValueRunBefore) {\n      applyWidgetControl()\n    }\n  }\n\n  return widgets\n}\n\nfunction seedWidget(node, inputName, inputData: ComfyNodeDef, app, widgetName) {\n  const seed = createIntWidget(node, inputName, inputData, app, true)\n  const seedControl = addValueControlWidget(\n    node,\n    seed.widget,\n    'randomize',\n    undefined,\n    widgetName,\n    inputData\n  )\n\n  seed.widget.linkedWidgets = [seedControl]\n  return seed\n}\n\nfunction createIntWidget(\n  node,\n  inputName,\n  inputData: ComfyNodeDef,\n  app,\n  isSeedInput: boolean = false\n) {\n  const control = inputData[1]?.control_after_generate\n  if (!isSeedInput && control) {\n    return seedWidget(\n      node,\n      inputName,\n      inputData,\n      app,\n      typeof control === 'string' ? control : undefined\n    )\n  }\n\n  let widgetType = isSlider(inputData[1]['display'], app)\n  const { val, config } = getNumberDefaults(inputData, 1, 0, true)\n  Object.assign(config, { precision: 0 })\n  return {\n    widget: node.addWidget(\n      widgetType,\n      inputName,\n      val,\n      function (v) {\n        const s = this.options.step / 10\n        let sh = this.options.min % s\n        if (isNaN(sh)) {\n          sh = 0\n        }\n        this.value = Math.round((v - sh) / s) * s + sh\n      },\n      config\n    )\n  }\n}\n\nfunction addMultilineWidget(node, name: string, opts, app: ComfyApp) {\n  const inputEl = document.createElement('textarea')\n  inputEl.className = 'comfy-multiline-input'\n  inputEl.value = opts.defaultVal\n  inputEl.placeholder = opts.placeholder || name\n  if (app.vueAppReady) {\n    inputEl.spellcheck = useSettingStore().get(\n      'Comfy.TextareaWidget.Spellcheck'\n    )\n  }\n\n  const widget = node.addDOMWidget(name, 'customtext', inputEl, {\n    getValue() {\n      return inputEl.value\n    },\n    setValue(v) {\n      inputEl.value = v\n    }\n  })\n  widget.inputEl = inputEl\n\n  inputEl.addEventListener('input', () => {\n    widget.callback?.(widget.value)\n  })\n\n  return { minWidth: 400, minHeight: 200, widget }\n}\n\nfunction isSlider(display, app) {\n  if (app.ui.settings.getSettingValue('Comfy.DisableSliders')) {\n    return 'number'\n  }\n\n  return display === 'slider' ? 'slider' : 'number'\n}\n\nexport function initWidgets(app) {\n  app.ui.settings.addSetting({\n    id: 'Comfy.WidgetControlMode',\n    category: ['Comfy', 'Node Widget', 'WidgetControlMode'],\n    name: 'Widget control mode',\n    tooltip:\n      'Controls when widget values are updated (randomize/increment/decrement), either before the prompt is queued or after.',\n    type: 'combo',\n    defaultValue: 'after',\n    options: ['before', 'after'],\n    onChange(value) {\n      controlValueRunBefore = value === 'before'\n      for (const n of app.graph._nodes) {\n        if (!n.widgets) continue\n        for (const w of n.widgets) {\n          if (w[IS_CONTROL_WIDGET]) {\n            updateControlWidgetLabel(w)\n            if (w.linkedWidgets) {\n              for (const l of w.linkedWidgets) {\n                updateControlWidgetLabel(l)\n              }\n            }\n          }\n        }\n      }\n      app.graph.setDirtyCanvas(true)\n    }\n  })\n}\n\nexport const ComfyWidgets: Record<string, ComfyWidgetConstructor> = {\n  'INT:seed': seedWidget,\n  'INT:noise_seed': seedWidget,\n  FLOAT(node, inputName, inputData: ComfyNodeDef, app) {\n    let widgetType: 'number' | 'slider' = isSlider(inputData[1]['display'], app)\n    let precision = app.ui.settings.getSettingValue(\n      'Comfy.FloatRoundingPrecision'\n    )\n    let disable_rounding = app.ui.settings.getSettingValue(\n      'Comfy.DisableFloatRounding'\n    )\n    if (precision == 0) precision = undefined\n    const { val, config } = getNumberDefaults(\n      inputData,\n      0.5,\n      precision,\n      !disable_rounding\n    )\n    return {\n      widget: node.addWidget(\n        widgetType,\n        inputName,\n        val,\n        function (v) {\n          if (config.round) {\n            this.value =\n              Math.round((v + Number.EPSILON) / config.round) * config.round\n            if (this.value > config.max) this.value = config.max\n            if (this.value < config.min) this.value = config.min\n          } else {\n            this.value = v\n          }\n        },\n        config\n      )\n    }\n  },\n  INT(node, inputName, inputData: ComfyNodeDef, app) {\n    return createIntWidget(node, inputName, inputData, app)\n  },\n  BOOLEAN(node, inputName, inputData) {\n    let defaultVal = false\n    let options = {}\n    if (inputData[1]) {\n      if (inputData[1].default) defaultVal = inputData[1].default\n      if (inputData[1].label_on) options['on'] = inputData[1].label_on\n      if (inputData[1].label_off) options['off'] = inputData[1].label_off\n    }\n    return {\n      widget: node.addWidget('toggle', inputName, defaultVal, () => {}, options)\n    }\n  },\n  STRING(node, inputName, inputData: ComfyNodeDef, app) {\n    const defaultVal = inputData[1].default || ''\n    const multiline = !!inputData[1].multiline\n\n    let res\n    if (multiline) {\n      res = addMultilineWidget(\n        node,\n        inputName,\n        { defaultVal, ...inputData[1] },\n        app\n      )\n    } else {\n      res = {\n        widget: node.addWidget('text', inputName, defaultVal, () => {}, {})\n      }\n    }\n\n    if (inputData[1].dynamicPrompts != undefined)\n      res.widget.dynamicPrompts = inputData[1].dynamicPrompts\n\n    return res\n  },\n  COMBO(node, inputName, inputData: ComfyNodeDef) {\n    const type = inputData[0]\n    let defaultValue = type[0]\n    if (inputData[1] && inputData[1].default) {\n      defaultValue = inputData[1].default\n    }\n    const res = {\n      widget: node.addWidget('combo', inputName, defaultValue, () => {}, {\n        values: type\n      })\n    }\n    if (inputData[1]?.control_after_generate) {\n      // TODO make combo handle a widget node type?\n      res.widget.linkedWidgets = addValueControlWidgets(\n        node,\n        res.widget,\n        undefined,\n        undefined,\n        inputData\n      )\n    }\n    return res\n  },\n  IMAGEUPLOAD(\n    node: LGraphNode,\n    inputName: string,\n    inputData: ComfyNodeDef,\n    app\n  ) {\n    // TODO make image upload handle a custom node type?\n    const imageWidget = node.widgets.find(\n      (w) => w.name === (inputData[1]?.widget ?? 'image')\n    )\n    let uploadWidget\n\n    function showImage(name) {\n      const img = new Image()\n      img.onload = () => {\n        // @ts-expect-error\n        node.imgs = [img]\n        app.graph.setDirtyCanvas(true)\n      }\n      let folder_separator = name.lastIndexOf('/')\n      let subfolder = ''\n      if (folder_separator > -1) {\n        subfolder = name.substring(0, folder_separator)\n        name = name.substring(folder_separator + 1)\n      }\n      img.src = api.apiURL(\n        `/view?filename=${encodeURIComponent(name)}&type=input&subfolder=${subfolder}${app.getPreviewFormatParam()}${app.getRandParam()}`\n      )\n      // @ts-expect-error\n      node.setSizeForImage?.()\n    }\n\n    var default_value = imageWidget.value\n    Object.defineProperty(imageWidget, 'value', {\n      set: function (value) {\n        this._real_value = value\n      },\n\n      get: function () {\n        if (!this._real_value) {\n          return default_value\n        }\n\n        let value = this._real_value\n        if (value.filename) {\n          let real_value = value\n          value = ''\n          if (real_value.subfolder) {\n            value = real_value.subfolder + '/'\n          }\n\n          value += real_value.filename\n\n          if (real_value.type && real_value.type !== 'input')\n            value += ` [${real_value.type}]`\n        }\n        return value\n      }\n    })\n\n    // Add our own callback to the combo widget to render an image when it changes\n    // TODO: Explain this?\n    // @ts-expect-error\n    const cb = node.callback\n    imageWidget.callback = function () {\n      showImage(imageWidget.value)\n      if (cb) {\n        return cb.apply(this, arguments)\n      }\n    }\n\n    // On load if we have a value then render the image\n    // The value isnt set immediately so we need to wait a moment\n    // No change callbacks seem to be fired on initial setting of the value\n    requestAnimationFrame(() => {\n      if (imageWidget.value) {\n        showImage(imageWidget.value)\n      }\n    })\n\n    async function uploadFile(file, updateNode, pasted = false) {\n      try {\n        // Wrap file in formdata so it includes filename\n        const body = new FormData()\n        body.append('image', file)\n        if (pasted) body.append('subfolder', 'pasted')\n        const resp = await api.fetchApi('/upload/image', {\n          method: 'POST',\n          body\n        })\n\n        if (resp.status === 200) {\n          const data = await resp.json()\n          // Add the file to the dropdown list and update the widget value\n          let path = data.name\n          if (data.subfolder) path = data.subfolder + '/' + path\n\n          if (!imageWidget.options.values.includes(path)) {\n            imageWidget.options.values.push(path)\n          }\n\n          if (updateNode) {\n            showImage(path)\n            imageWidget.value = path\n          }\n        } else {\n          alert(resp.status + ' - ' + resp.statusText)\n        }\n      } catch (error) {\n        alert(error)\n      }\n    }\n\n    const fileInput = document.createElement('input')\n    Object.assign(fileInput, {\n      type: 'file',\n      accept: 'image/jpeg,image/png,image/webp',\n      style: 'display: none',\n      onchange: async () => {\n        if (fileInput.files.length) {\n          await uploadFile(fileInput.files[0], true)\n        }\n      }\n    })\n    document.body.append(fileInput)\n\n    // Create the button widget for selecting the files\n    uploadWidget = node.addWidget('button', inputName, 'image', () => {\n      fileInput.click()\n    })\n    uploadWidget.label = 'choose file to upload'\n    uploadWidget.serialize = false\n\n    // Add handler to check if an image is being dragged over our node\n    // @ts-expect-error\n    node.onDragOver = function (e) {\n      if (e.dataTransfer && e.dataTransfer.items) {\n        const image = [...e.dataTransfer.items].find((f) => f.kind === 'file')\n        return !!image\n      }\n\n      return false\n    }\n\n    // On drop upload files\n    // @ts-expect-error\n    node.onDragDrop = function (e) {\n      console.log('onDragDrop called')\n      let handled = false\n      for (const file of e.dataTransfer.files) {\n        if (file.type.startsWith('image/')) {\n          uploadFile(file, !handled) // Dont await these, any order is fine, only update on first one\n          handled = true\n        }\n      }\n\n      return handled\n    }\n\n    // @ts-expect-error\n    node.pasteFile = function (file) {\n      if (file.type.startsWith('image/')) {\n        const is_pasted =\n          file.name === 'image.png' && file.lastModified - Date.now() < 2000\n        uploadFile(file, true, is_pasted)\n        return true\n      }\n      return false\n    }\n\n    return { widget: uploadWidget }\n  }\n}\n","import type { ComfyWorkflowJSON } from '@/types/comfyWorkflow'\n\nexport const defaultGraph: ComfyWorkflowJSON = {\n  last_node_id: 9,\n  last_link_id: 9,\n  nodes: [\n    {\n      id: 7,\n      type: 'CLIPTextEncode',\n      pos: [413, 389],\n      size: [425.27801513671875, 180.6060791015625],\n      flags: {},\n      order: 3,\n      mode: 0,\n      inputs: [{ name: 'clip', type: 'CLIP', link: 5 }],\n      outputs: [\n        {\n          name: 'CONDITIONING',\n          type: 'CONDITIONING',\n          links: [6],\n          slot_index: 0\n        }\n      ],\n      properties: {},\n      widgets_values: ['text, watermark']\n    },\n    {\n      id: 6,\n      type: 'CLIPTextEncode',\n      pos: [415, 186],\n      size: [422.84503173828125, 164.31304931640625],\n      flags: {},\n      order: 2,\n      mode: 0,\n      inputs: [{ name: 'clip', type: 'CLIP', link: 3 }],\n      outputs: [\n        {\n          name: 'CONDITIONING',\n          type: 'CONDITIONING',\n          links: [4],\n          slot_index: 0\n        }\n      ],\n      properties: {},\n      widgets_values: [\n        'beautiful scenery nature glass bottle landscape, , purple galaxy bottle,'\n      ]\n    },\n    {\n      id: 5,\n      type: 'EmptyLatentImage',\n      pos: [473, 609],\n      size: [315, 106],\n      flags: {},\n      order: 1,\n      mode: 0,\n      outputs: [{ name: 'LATENT', type: 'LATENT', links: [2], slot_index: 0 }],\n      properties: {},\n      widgets_values: [512, 512, 1]\n    },\n    {\n      id: 3,\n      type: 'KSampler',\n      pos: [863, 186],\n      size: [315, 262],\n      flags: {},\n      order: 4,\n      mode: 0,\n      inputs: [\n        { name: 'model', type: 'MODEL', link: 1 },\n        { name: 'positive', type: 'CONDITIONING', link: 4 },\n        { name: 'negative', type: 'CONDITIONING', link: 6 },\n        { name: 'latent_image', type: 'LATENT', link: 2 }\n      ],\n      outputs: [{ name: 'LATENT', type: 'LATENT', links: [7], slot_index: 0 }],\n      properties: {},\n      widgets_values: [156680208700286, true, 20, 8, 'euler', 'normal', 1]\n    },\n    {\n      id: 8,\n      type: 'VAEDecode',\n      pos: [1209, 188],\n      size: [210, 46],\n      flags: {},\n      order: 5,\n      mode: 0,\n      inputs: [\n        { name: 'samples', type: 'LATENT', link: 7 },\n        { name: 'vae', type: 'VAE', link: 8 }\n      ],\n      outputs: [{ name: 'IMAGE', type: 'IMAGE', links: [9], slot_index: 0 }],\n      properties: {}\n    },\n    {\n      id: 9,\n      type: 'SaveImage',\n      pos: [1451, 189],\n      size: [210, 26],\n      flags: {},\n      order: 6,\n      mode: 0,\n      inputs: [{ name: 'images', type: 'IMAGE', link: 9 }],\n      properties: {}\n    },\n    {\n      id: 4,\n      type: 'CheckpointLoaderSimple',\n      pos: [26, 474],\n      size: [315, 98],\n      flags: {},\n      order: 0,\n      mode: 0,\n      outputs: [\n        { name: 'MODEL', type: 'MODEL', links: [1], slot_index: 0 },\n        { name: 'CLIP', type: 'CLIP', links: [3, 5], slot_index: 1 },\n        { name: 'VAE', type: 'VAE', links: [8], slot_index: 2 }\n      ],\n      properties: {},\n      widgets_values: ['v1-5-pruned-emaonly.ckpt']\n    }\n  ],\n  links: [\n    [1, 4, 0, 3, 0, 'MODEL'],\n    [2, 5, 0, 3, 3, 'LATENT'],\n    [3, 4, 1, 6, 0, 'CLIP'],\n    [4, 6, 0, 3, 1, 'CONDITIONING'],\n    [5, 4, 1, 7, 0, 'CLIP'],\n    [6, 7, 0, 3, 2, 'CONDITIONING'],\n    [7, 3, 0, 8, 0, 'LATENT'],\n    [8, 4, 2, 8, 1, 'VAE'],\n    [9, 8, 0, 9, 0, 'IMAGE']\n  ],\n  groups: [],\n  config: {},\n  extra: {},\n  version: 0.4\n}\n","export function getFromPngBuffer(buffer: ArrayBuffer) {\n  // Get the PNG data as a Uint8Array\n  const pngData = new Uint8Array(buffer)\n  const dataView = new DataView(pngData.buffer)\n\n  // Check that the PNG signature is present\n  if (dataView.getUint32(0) !== 0x89504e47) {\n    console.error('Not a valid PNG file')\n    return\n  }\n\n  // Start searching for chunks after the PNG signature\n  let offset = 8\n  let txt_chunks: Record<string, string> = {}\n  // Loop through the chunks in the PNG file\n  while (offset < pngData.length) {\n    // Get the length of the chunk\n    const length = dataView.getUint32(offset)\n    // Get the chunk type\n    const type = String.fromCharCode(...pngData.slice(offset + 4, offset + 8))\n    if (type === 'tEXt' || type == 'comf' || type === 'iTXt') {\n      // Get the keyword\n      let keyword_end = offset + 8\n      while (pngData[keyword_end] !== 0) {\n        keyword_end++\n      }\n      const keyword = String.fromCharCode(\n        ...pngData.slice(offset + 8, keyword_end)\n      )\n      // Get the text\n      const contentArraySegment = pngData.slice(\n        keyword_end + 1,\n        offset + 8 + length\n      )\n      const contentJson = new TextDecoder('utf-8').decode(contentArraySegment)\n      txt_chunks[keyword] = contentJson\n    }\n\n    offset += 12 + length\n  }\n  return txt_chunks\n}\n\nexport function getFromPngFile(file: File) {\n  return new Promise<Record<string, string>>((r) => {\n    const reader = new FileReader()\n    reader.onload = (event) => {\n      r(getFromPngBuffer(event.target.result as ArrayBuffer))\n    }\n\n    reader.readAsArrayBuffer(file)\n  })\n}\n","export function getFromFlacBuffer(buffer: ArrayBuffer): Record<string, string> {\n  const dataView = new DataView(buffer)\n\n  // Verify the FLAC signature\n  const signature = String.fromCharCode(...new Uint8Array(buffer, 0, 4))\n  if (signature !== 'fLaC') {\n    console.error('Not a valid FLAC file')\n    return\n  }\n\n  // Parse metadata blocks\n  let offset = 4\n  let vorbisComment = null\n  while (offset < dataView.byteLength) {\n    const isLastBlock = dataView.getUint8(offset) & 0x80\n    const blockType = dataView.getUint8(offset) & 0x7f\n    const blockSize = dataView.getUint32(offset, false) & 0xffffff\n    offset += 4\n\n    if (blockType === 4) {\n      // Vorbis Comment block type\n      vorbisComment = parseVorbisComment(\n        new DataView(buffer, offset, blockSize)\n      )\n    }\n\n    offset += blockSize\n    if (isLastBlock) break\n  }\n\n  return vorbisComment\n}\n\nexport function getFromFlacFile(file: File): Promise<Record<string, string>> {\n  return new Promise((r) => {\n    const reader = new FileReader()\n    reader.onload = function (event) {\n      const arrayBuffer = event.target.result as ArrayBuffer\n      r(getFromFlacBuffer(arrayBuffer))\n    }\n    reader.readAsArrayBuffer(file)\n  })\n}\n\n// Function to parse the Vorbis Comment block\nfunction parseVorbisComment(dataView: DataView): Record<string, string> {\n  let offset = 0\n  const vendorLength = dataView.getUint32(offset, true)\n  offset += 4\n  const vendorString = getString(dataView, offset, vendorLength)\n  offset += vendorLength\n\n  const userCommentListLength = dataView.getUint32(offset, true)\n  offset += 4\n  const comments = {}\n  for (let i = 0; i < userCommentListLength; i++) {\n    const commentLength = dataView.getUint32(offset, true)\n    offset += 4\n    const comment = getString(dataView, offset, commentLength)\n    offset += commentLength\n\n    const ind = comment.indexOf('=')\n    const key = comment.substring(0, ind)\n\n    comments[key] = comment.substring(ind + 1)\n  }\n\n  return comments\n}\n\nfunction getString(dataView: DataView, offset: number, length: number): string {\n  let string = ''\n  for (let i = 0; i < length; i++) {\n    string += String.fromCharCode(dataView.getUint8(offset + i))\n  }\n  return string\n}\n","import { LiteGraph } from '@comfyorg/litegraph'\nimport { api } from './api'\nimport { getFromPngFile } from './metadata/png'\nimport { getFromFlacFile } from './metadata/flac'\n\n// Original functions left in for backwards compatibility\nexport function getPngMetadata(file: File): Promise<Record<string, string>> {\n  return getFromPngFile(file)\n}\n\nexport function getFlacMetadata(file: File): Promise<Record<string, string>> {\n  return getFromFlacFile(file)\n}\n\nfunction parseExifData(exifData) {\n  // Check for the correct TIFF header (0x4949 for little-endian or 0x4D4D for big-endian)\n  const isLittleEndian = String.fromCharCode(...exifData.slice(0, 2)) === 'II'\n\n  // Function to read 16-bit and 32-bit integers from binary data\n  function readInt(offset, isLittleEndian, length) {\n    let arr = exifData.slice(offset, offset + length)\n    if (length === 2) {\n      return new DataView(arr.buffer, arr.byteOffset, arr.byteLength).getUint16(\n        0,\n        isLittleEndian\n      )\n    } else if (length === 4) {\n      return new DataView(arr.buffer, arr.byteOffset, arr.byteLength).getUint32(\n        0,\n        isLittleEndian\n      )\n    }\n  }\n\n  // Read the offset to the first IFD (Image File Directory)\n  const ifdOffset = readInt(4, isLittleEndian, 4)\n\n  function parseIFD(offset) {\n    const numEntries = readInt(offset, isLittleEndian, 2)\n    const result = {}\n\n    for (let i = 0; i < numEntries; i++) {\n      const entryOffset = offset + 2 + i * 12\n      const tag = readInt(entryOffset, isLittleEndian, 2)\n      const type = readInt(entryOffset + 2, isLittleEndian, 2)\n      const numValues = readInt(entryOffset + 4, isLittleEndian, 4)\n      const valueOffset = readInt(entryOffset + 8, isLittleEndian, 4)\n\n      // Read the value(s) based on the data type\n      let value\n      if (type === 2) {\n        // ASCII string\n        value = String.fromCharCode(\n          ...exifData.slice(valueOffset, valueOffset + numValues - 1)\n        )\n      }\n\n      result[tag] = value\n    }\n\n    return result\n  }\n\n  // Parse the first IFD\n  const ifdData = parseIFD(ifdOffset)\n  return ifdData\n}\n\nfunction splitValues(input) {\n  var output = {}\n  for (var key in input) {\n    var value = input[key]\n    var splitValues = value.split(':', 2)\n    output[splitValues[0]] = splitValues[1]\n  }\n  return output\n}\n\nexport function getWebpMetadata(file) {\n  return new Promise<Record<string, string>>((r) => {\n    const reader = new FileReader()\n    reader.onload = (event) => {\n      const webp = new Uint8Array(event.target.result as ArrayBuffer)\n      const dataView = new DataView(webp.buffer)\n\n      // Check that the WEBP signature is present\n      if (\n        dataView.getUint32(0) !== 0x52494646 ||\n        dataView.getUint32(8) !== 0x57454250\n      ) {\n        console.error('Not a valid WEBP file')\n        r({})\n        return\n      }\n\n      // Start searching for chunks after the WEBP signature\n      let offset = 12\n      let txt_chunks = {}\n      // Loop through the chunks in the WEBP file\n      while (offset < webp.length) {\n        const chunk_length = dataView.getUint32(offset + 4, true)\n        const chunk_type = String.fromCharCode(\n          ...webp.slice(offset, offset + 4)\n        )\n        if (chunk_type === 'EXIF') {\n          if (\n            String.fromCharCode(...webp.slice(offset + 8, offset + 8 + 6)) ==\n            'Exif\\0\\0'\n          ) {\n            offset += 6\n          }\n          let data = parseExifData(\n            webp.slice(offset + 8, offset + 8 + chunk_length)\n          )\n          for (var key in data) {\n            var value = data[key] as string\n            let index = value.indexOf(':')\n            txt_chunks[value.slice(0, index)] = value.slice(index + 1)\n          }\n          break\n        }\n\n        offset += 8 + chunk_length\n      }\n\n      r(txt_chunks)\n    }\n\n    reader.readAsArrayBuffer(file)\n  })\n}\n\nexport function getLatentMetadata(file) {\n  return new Promise((r) => {\n    const reader = new FileReader()\n    reader.onload = (event) => {\n      const safetensorsData = new Uint8Array(event.target.result as ArrayBuffer)\n      const dataView = new DataView(safetensorsData.buffer)\n      let header_size = dataView.getUint32(0, true)\n      let offset = 8\n      let header = JSON.parse(\n        new TextDecoder().decode(\n          safetensorsData.slice(offset, offset + header_size)\n        )\n      )\n      r(header.__metadata__)\n    }\n\n    var slice = file.slice(0, 1024 * 1024 * 4)\n    reader.readAsArrayBuffer(slice)\n  })\n}\n\nexport async function importA1111(graph, parameters) {\n  const p = parameters.lastIndexOf('\\nSteps:')\n  if (p > -1) {\n    const embeddings = await api.getEmbeddings()\n    const opts = parameters\n      .substr(p)\n      .split('\\n')[1]\n      .match(\n        new RegExp('\\\\s*([^:]+:\\\\s*([^\"\\\\{].*?|\".*?\"|\\\\{.*?\\\\}))\\\\s*(,|$)', 'g')\n      )\n      .reduce((p, n) => {\n        const s = n.split(':')\n        if (s[1].endsWith(',')) {\n          s[1] = s[1].substr(0, s[1].length - 1)\n        }\n        p[s[0].trim().toLowerCase()] = s[1].trim()\n        return p\n      }, {})\n    const p2 = parameters.lastIndexOf('\\nNegative prompt:', p)\n    if (p2 > -1) {\n      let positive = parameters.substr(0, p2).trim()\n      let negative = parameters.substring(p2 + 18, p).trim()\n\n      const ckptNode = LiteGraph.createNode('CheckpointLoaderSimple')\n      const clipSkipNode = LiteGraph.createNode('CLIPSetLastLayer')\n      const positiveNode = LiteGraph.createNode('CLIPTextEncode')\n      const negativeNode = LiteGraph.createNode('CLIPTextEncode')\n      const samplerNode = LiteGraph.createNode('KSampler')\n      const imageNode = LiteGraph.createNode('EmptyLatentImage')\n      const vaeNode = LiteGraph.createNode('VAEDecode')\n      const vaeLoaderNode = LiteGraph.createNode('VAELoader')\n      const saveNode = LiteGraph.createNode('SaveImage')\n      let hrSamplerNode = null\n      let hrSteps = null\n\n      const ceil64 = (v) => Math.ceil(v / 64) * 64\n\n      const getWidget = (node, name) => {\n        return node.widgets.find((w) => w.name === name)\n      }\n\n      const setWidgetValue = (node, name, value, isOptionPrefix?) => {\n        const w = getWidget(node, name)\n        if (isOptionPrefix) {\n          const o = w.options.values.find((w) => w.startsWith(value))\n          if (o) {\n            w.value = o\n          } else {\n            console.warn(`Unknown value '${value}' for widget '${name}'`, node)\n            w.value = value\n          }\n        } else {\n          w.value = value\n        }\n      }\n\n      const createLoraNodes = (clipNode, text, prevClip, prevModel) => {\n        const loras = []\n        text = text.replace(/<lora:([^:]+:[^>]+)>/g, function (m, c) {\n          const s = c.split(':')\n          const weight = parseFloat(s[1])\n          if (isNaN(weight)) {\n            console.warn('Invalid LORA', m)\n          } else {\n            loras.push({ name: s[0], weight })\n          }\n          return ''\n        })\n\n        for (const l of loras) {\n          const loraNode = LiteGraph.createNode('LoraLoader')\n          graph.add(loraNode)\n          setWidgetValue(loraNode, 'lora_name', l.name, true)\n          setWidgetValue(loraNode, 'strength_model', l.weight)\n          setWidgetValue(loraNode, 'strength_clip', l.weight)\n          prevModel.node.connect(prevModel.index, loraNode, 0)\n          prevClip.node.connect(prevClip.index, loraNode, 1)\n          prevModel = { node: loraNode, index: 0 }\n          prevClip = { node: loraNode, index: 1 }\n        }\n\n        prevClip.node.connect(1, clipNode, 0)\n        prevModel.node.connect(0, samplerNode, 0)\n        if (hrSamplerNode) {\n          prevModel.node.connect(0, hrSamplerNode, 0)\n        }\n\n        return { text, prevModel, prevClip }\n      }\n\n      const replaceEmbeddings = (text) => {\n        if (!embeddings.length) return text\n        return text.replaceAll(\n          new RegExp(\n            '\\\\b(' +\n              embeddings\n                .map((e) => e.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\$&'))\n                .join('\\\\b|\\\\b') +\n              ')\\\\b',\n            'ig'\n          ),\n          'embedding:$1'\n        )\n      }\n\n      const popOpt = (name) => {\n        const v = opts[name]\n        delete opts[name]\n        return v\n      }\n\n      graph.clear()\n      graph.add(ckptNode)\n      graph.add(clipSkipNode)\n      graph.add(positiveNode)\n      graph.add(negativeNode)\n      graph.add(samplerNode)\n      graph.add(imageNode)\n      graph.add(vaeNode)\n      graph.add(vaeLoaderNode)\n      graph.add(saveNode)\n\n      ckptNode.connect(1, clipSkipNode, 0)\n      clipSkipNode.connect(0, positiveNode, 0)\n      clipSkipNode.connect(0, negativeNode, 0)\n      ckptNode.connect(0, samplerNode, 0)\n      positiveNode.connect(0, samplerNode, 1)\n      negativeNode.connect(0, samplerNode, 2)\n      imageNode.connect(0, samplerNode, 3)\n      vaeNode.connect(0, saveNode, 0)\n      samplerNode.connect(0, vaeNode, 0)\n      vaeLoaderNode.connect(0, vaeNode, 1)\n\n      const handlers = {\n        model(v) {\n          setWidgetValue(ckptNode, 'ckpt_name', v, true)\n        },\n        vae(v) {\n          setWidgetValue(vaeLoaderNode, 'vae_name', v, true)\n        },\n        'cfg scale'(v) {\n          setWidgetValue(samplerNode, 'cfg', +v)\n        },\n        'clip skip'(v) {\n          setWidgetValue(clipSkipNode, 'stop_at_clip_layer', -v)\n        },\n        sampler(v) {\n          let name = v.toLowerCase().replace('++', 'pp').replaceAll(' ', '_')\n          if (name.includes('karras')) {\n            name = name.replace('karras', '').replace(/_+$/, '')\n            setWidgetValue(samplerNode, 'scheduler', 'karras')\n          } else {\n            setWidgetValue(samplerNode, 'scheduler', 'normal')\n          }\n          const w = getWidget(samplerNode, 'sampler_name')\n          const o = w.options.values.find(\n            (w) => w === name || w === 'sample_' + name\n          )\n          if (o) {\n            setWidgetValue(samplerNode, 'sampler_name', o)\n          }\n        },\n        size(v) {\n          const wxh = v.split('x')\n          const w = ceil64(+wxh[0])\n          const h = ceil64(+wxh[1])\n          const hrUp = popOpt('hires upscale')\n          const hrSz = popOpt('hires resize')\n          hrSteps = popOpt('hires steps')\n          let hrMethod = popOpt('hires upscaler')\n\n          setWidgetValue(imageNode, 'width', w)\n          setWidgetValue(imageNode, 'height', h)\n\n          if (hrUp || hrSz) {\n            let uw, uh\n            if (hrUp) {\n              uw = w * hrUp\n              uh = h * hrUp\n            } else {\n              const s = hrSz.split('x')\n              uw = +s[0]\n              uh = +s[1]\n            }\n\n            let upscaleNode\n            let latentNode\n\n            if (hrMethod.startsWith('Latent')) {\n              latentNode = upscaleNode = LiteGraph.createNode('LatentUpscale')\n              graph.add(upscaleNode)\n              samplerNode.connect(0, upscaleNode, 0)\n\n              switch (hrMethod) {\n                case 'Latent (nearest-exact)':\n                  hrMethod = 'nearest-exact'\n                  break\n              }\n              setWidgetValue(upscaleNode, 'upscale_method', hrMethod, true)\n            } else {\n              const decode = LiteGraph.createNode('VAEDecodeTiled')\n              graph.add(decode)\n              samplerNode.connect(0, decode, 0)\n              vaeLoaderNode.connect(0, decode, 1)\n\n              const upscaleLoaderNode =\n                LiteGraph.createNode('UpscaleModelLoader')\n              graph.add(upscaleLoaderNode)\n              setWidgetValue(upscaleLoaderNode, 'model_name', hrMethod, true)\n\n              const modelUpscaleNode = LiteGraph.createNode(\n                'ImageUpscaleWithModel'\n              )\n              graph.add(modelUpscaleNode)\n              decode.connect(0, modelUpscaleNode, 1)\n              upscaleLoaderNode.connect(0, modelUpscaleNode, 0)\n\n              upscaleNode = LiteGraph.createNode('ImageScale')\n              graph.add(upscaleNode)\n              modelUpscaleNode.connect(0, upscaleNode, 0)\n\n              const vaeEncodeNode = (latentNode =\n                LiteGraph.createNode('VAEEncodeTiled'))\n              graph.add(vaeEncodeNode)\n              upscaleNode.connect(0, vaeEncodeNode, 0)\n              vaeLoaderNode.connect(0, vaeEncodeNode, 1)\n            }\n\n            setWidgetValue(upscaleNode, 'width', ceil64(uw))\n            setWidgetValue(upscaleNode, 'height', ceil64(uh))\n\n            hrSamplerNode = LiteGraph.createNode('KSampler')\n            graph.add(hrSamplerNode)\n            ckptNode.connect(0, hrSamplerNode, 0)\n            positiveNode.connect(0, hrSamplerNode, 1)\n            negativeNode.connect(0, hrSamplerNode, 2)\n            latentNode.connect(0, hrSamplerNode, 3)\n            hrSamplerNode.connect(0, vaeNode, 0)\n          }\n        },\n        steps(v) {\n          setWidgetValue(samplerNode, 'steps', +v)\n        },\n        seed(v) {\n          setWidgetValue(samplerNode, 'seed', +v)\n        }\n      }\n\n      for (const opt in opts) {\n        if (opt in handlers) {\n          handlers[opt](popOpt(opt))\n        }\n      }\n\n      if (hrSamplerNode) {\n        setWidgetValue(\n          hrSamplerNode,\n          'steps',\n          hrSteps ? +hrSteps : getWidget(samplerNode, 'steps').value\n        )\n        setWidgetValue(\n          hrSamplerNode,\n          'cfg',\n          getWidget(samplerNode, 'cfg').value\n        )\n        setWidgetValue(\n          hrSamplerNode,\n          'scheduler',\n          getWidget(samplerNode, 'scheduler').value\n        )\n        setWidgetValue(\n          hrSamplerNode,\n          'sampler_name',\n          getWidget(samplerNode, 'sampler_name').value\n        )\n        setWidgetValue(\n          hrSamplerNode,\n          'denoise',\n          +(popOpt('denoising strength') || '1')\n        )\n      }\n\n      let n = createLoraNodes(\n        positiveNode,\n        positive,\n        { node: clipSkipNode, index: 0 },\n        { node: ckptNode, index: 0 }\n      )\n      positive = n.text\n      n = createLoraNodes(negativeNode, negative, n.prevClip, n.prevModel)\n      negative = n.text\n\n      setWidgetValue(positiveNode, 'text', replaceEmbeddings(positive))\n      setWidgetValue(negativeNode, 'text', replaceEmbeddings(negative))\n\n      graph.arrange()\n\n      for (const opt of [\n        'model hash',\n        'ensd',\n        'version',\n        'vae hash',\n        'ti hashes',\n        'lora hashes',\n        'hashes'\n      ]) {\n        delete opts[opt]\n      }\n\n      console.warn('Unhandled parameters:', opts)\n    }\n  }\n}\n","import { app } from '../app'\nimport { $el } from '../ui'\n\nexport function calculateImageGrid(imgs, dw, dh) {\n  let best = 0\n  let w = imgs[0].naturalWidth\n  let h = imgs[0].naturalHeight\n  const numImages = imgs.length\n\n  let cellWidth, cellHeight, cols, rows, shiftX\n  // compact style\n  for (let c = 1; c <= numImages; c++) {\n    const r = Math.ceil(numImages / c)\n    const cW = dw / c\n    const cH = dh / r\n    const scaleX = cW / w\n    const scaleY = cH / h\n\n    const scale = Math.min(scaleX, scaleY, 1)\n    const imageW = w * scale\n    const imageH = h * scale\n    const area = imageW * imageH * numImages\n\n    if (area > best) {\n      best = area\n      cellWidth = imageW\n      cellHeight = imageH\n      cols = c\n      rows = r\n      shiftX = c * ((cW - imageW) / 2)\n    }\n  }\n\n  return { cellWidth, cellHeight, cols, rows, shiftX }\n}\n\nexport function createImageHost(node) {\n  const el = $el('div.comfy-img-preview')\n  let currentImgs\n  let first = true\n\n  function updateSize() {\n    let w = null\n    let h = null\n\n    if (currentImgs) {\n      let elH = el.clientHeight\n      if (first) {\n        first = false\n        // On first run, if we are small then grow a bit\n        if (elH < 190) {\n          elH = 190\n        }\n        el.style.setProperty('--comfy-widget-min-height', elH.toString())\n      } else {\n        el.style.setProperty('--comfy-widget-min-height', null)\n      }\n\n      const nw = node.size[0]\n      ;({ cellWidth: w, cellHeight: h } = calculateImageGrid(\n        currentImgs,\n        nw - 20,\n        elH\n      ))\n      w += 'px'\n      h += 'px'\n\n      el.style.setProperty('--comfy-img-preview-width', w)\n      el.style.setProperty('--comfy-img-preview-height', h)\n    }\n  }\n  return {\n    el,\n    updateImages(imgs) {\n      if (imgs !== currentImgs) {\n        if (currentImgs == null) {\n          requestAnimationFrame(() => {\n            updateSize()\n          })\n        }\n        el.replaceChildren(...imgs)\n        currentImgs = imgs\n        node.onResize(node.size)\n        node.graph.setDirtyCanvas(true, true)\n      }\n    },\n    getHeight() {\n      updateSize()\n    },\n    onDraw() {\n      // Element from point uses a hittest find elements so we need to toggle pointer events\n      el.style.pointerEvents = 'all'\n      const over = document.elementFromPoint(\n        app.canvas.mouse[0],\n        app.canvas.mouse[1]\n      )\n      el.style.pointerEvents = 'none'\n\n      if (!over) return\n      // Set the overIndex so Open Image etc work\n      const idx = currentImgs.indexOf(over)\n      node.overIndex = idx\n    }\n  }\n}\n","/*\n  Original implementation:\n    https://github.com/TahaSh/drag-to-reorder\n    MIT License\n\n    Copyright (c) 2023 Taha Shashtari\n\n    Permission is hereby granted, free of charge, to any person obtaining a copy\n    of this software and associated documentation files (the \"Software\"), to deal\n    in the Software without restriction, including without limitation the rights\n    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n    copies of the Software, and to permit persons to whom the Software is\n    furnished to do so, subject to the following conditions:\n\n    The above copyright notice and this permission notice shall be included in all\n    copies or substantial portions of the Software.\n\n    THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n    SOFTWARE.\n*/\n\nimport { $el } from '../ui'\n\n$el('style', {\n  parent: document.head,\n  textContent: `\n        .draggable-item {\n            position: relative;\n            will-change: transform;\n            user-select: none;\n        }\n        .draggable-item.is-idle {\n            transition: 0.25s ease transform;\n        }\n        .draggable-item.is-draggable {\n            z-index: 10;\n        }\n    `\n})\n\nexport class DraggableList extends EventTarget {\n  listContainer\n  draggableItem\n  pointerStartX\n  pointerStartY\n  scrollYMax\n  itemsGap = 0\n  items = []\n  itemSelector\n  handleClass = 'drag-handle'\n  off = []\n  offDrag = []\n\n  constructor(element, itemSelector) {\n    super()\n    this.listContainer = element\n    this.itemSelector = itemSelector\n\n    if (!this.listContainer) return\n\n    this.off.push(this.on(this.listContainer, 'mousedown', this.dragStart))\n    this.off.push(this.on(this.listContainer, 'touchstart', this.dragStart))\n    this.off.push(this.on(document, 'mouseup', this.dragEnd))\n    this.off.push(this.on(document, 'touchend', this.dragEnd))\n  }\n\n  getAllItems() {\n    if (!this.items?.length) {\n      this.items = Array.from(\n        this.listContainer.querySelectorAll(this.itemSelector)\n      )\n      this.items.forEach((element) => {\n        element.classList.add('is-idle')\n      })\n    }\n    return this.items\n  }\n\n  getIdleItems() {\n    return this.getAllItems().filter((item) =>\n      item.classList.contains('is-idle')\n    )\n  }\n\n  isItemAbove(item) {\n    return item.hasAttribute('data-is-above')\n  }\n\n  isItemToggled(item) {\n    return item.hasAttribute('data-is-toggled')\n  }\n\n  on(source, event, listener, options?) {\n    listener = listener.bind(this)\n    source.addEventListener(event, listener, options)\n    return () => source.removeEventListener(event, listener)\n  }\n\n  dragStart(e) {\n    if (e.target.classList.contains(this.handleClass)) {\n      this.draggableItem = e.target.closest(this.itemSelector)\n    }\n\n    if (!this.draggableItem) return\n\n    this.pointerStartX = e.clientX || e.touches[0].clientX\n    this.pointerStartY = e.clientY || e.touches[0].clientY\n    this.scrollYMax =\n      this.listContainer.scrollHeight - this.listContainer.clientHeight\n\n    this.setItemsGap()\n    this.initDraggableItem()\n    this.initItemsState()\n\n    this.offDrag.push(this.on(document, 'mousemove', this.drag))\n    this.offDrag.push(\n      this.on(document, 'touchmove', this.drag, { passive: false })\n    )\n\n    this.dispatchEvent(\n      new CustomEvent('dragstart', {\n        detail: {\n          element: this.draggableItem,\n          position: this.getAllItems().indexOf(this.draggableItem)\n        }\n      })\n    )\n  }\n\n  setItemsGap() {\n    if (this.getIdleItems().length <= 1) {\n      this.itemsGap = 0\n      return\n    }\n\n    const item1 = this.getIdleItems()[0]\n    const item2 = this.getIdleItems()[1]\n\n    const item1Rect = item1.getBoundingClientRect()\n    const item2Rect = item2.getBoundingClientRect()\n\n    this.itemsGap = Math.abs(item1Rect.bottom - item2Rect.top)\n  }\n\n  initItemsState() {\n    this.getIdleItems().forEach((item, i) => {\n      if (this.getAllItems().indexOf(this.draggableItem) > i) {\n        item.dataset.isAbove = ''\n      }\n    })\n  }\n\n  initDraggableItem() {\n    this.draggableItem.classList.remove('is-idle')\n    this.draggableItem.classList.add('is-draggable')\n  }\n\n  drag(e) {\n    if (!this.draggableItem) return\n\n    e.preventDefault()\n\n    const clientX = e.clientX || e.touches[0].clientX\n    const clientY = e.clientY || e.touches[0].clientY\n\n    const listRect = this.listContainer.getBoundingClientRect()\n\n    if (clientY > listRect.bottom) {\n      if (this.listContainer.scrollTop < this.scrollYMax) {\n        this.listContainer.scrollBy(0, 10)\n        this.pointerStartY -= 10\n      }\n    } else if (clientY < listRect.top && this.listContainer.scrollTop > 0) {\n      this.pointerStartY += 10\n      this.listContainer.scrollBy(0, -10)\n    }\n\n    const pointerOffsetX = clientX - this.pointerStartX\n    const pointerOffsetY = clientY - this.pointerStartY\n\n    this.updateIdleItemsStateAndPosition()\n    this.draggableItem.style.transform = `translate(${pointerOffsetX}px, ${pointerOffsetY}px)`\n  }\n\n  updateIdleItemsStateAndPosition() {\n    const draggableItemRect = this.draggableItem.getBoundingClientRect()\n    const draggableItemY = draggableItemRect.top + draggableItemRect.height / 2\n\n    // Update state\n    this.getIdleItems().forEach((item) => {\n      const itemRect = item.getBoundingClientRect()\n      const itemY = itemRect.top + itemRect.height / 2\n      if (this.isItemAbove(item)) {\n        if (draggableItemY <= itemY) {\n          item.dataset.isToggled = ''\n        } else {\n          delete item.dataset.isToggled\n        }\n      } else {\n        if (draggableItemY >= itemY) {\n          item.dataset.isToggled = ''\n        } else {\n          delete item.dataset.isToggled\n        }\n      }\n    })\n\n    // Update position\n    this.getIdleItems().forEach((item) => {\n      if (this.isItemToggled(item)) {\n        const direction = this.isItemAbove(item) ? 1 : -1\n        item.style.transform = `translateY(${direction * (draggableItemRect.height + this.itemsGap)}px)`\n      } else {\n        item.style.transform = ''\n      }\n    })\n  }\n\n  dragEnd() {\n    if (!this.draggableItem) return\n\n    this.applyNewItemsOrder()\n    this.cleanup()\n  }\n\n  applyNewItemsOrder() {\n    const reorderedItems = []\n\n    let oldPosition = -1\n    this.getAllItems().forEach((item, index) => {\n      if (item === this.draggableItem) {\n        oldPosition = index\n        return\n      }\n      if (!this.isItemToggled(item)) {\n        reorderedItems[index] = item\n        return\n      }\n      const newIndex = this.isItemAbove(item) ? index + 1 : index - 1\n      reorderedItems[newIndex] = item\n    })\n\n    for (let index = 0; index < this.getAllItems().length; index++) {\n      const item = reorderedItems[index]\n      if (typeof item === 'undefined') {\n        reorderedItems[index] = this.draggableItem\n      }\n    }\n\n    reorderedItems.forEach((item) => {\n      this.listContainer.appendChild(item)\n    })\n\n    this.items = reorderedItems\n\n    this.dispatchEvent(\n      new CustomEvent('dragend', {\n        detail: {\n          element: this.draggableItem,\n          oldPosition,\n          newPosition: reorderedItems.indexOf(this.draggableItem)\n        }\n      })\n    )\n  }\n\n  cleanup() {\n    this.itemsGap = 0\n    this.items = []\n    this.unsetDraggableItem()\n    this.unsetItemState()\n\n    this.offDrag.forEach((f) => f())\n    this.offDrag = []\n  }\n\n  unsetDraggableItem() {\n    this.draggableItem.style = null\n    this.draggableItem.classList.remove('is-draggable')\n    this.draggableItem.classList.add('is-idle')\n    this.draggableItem = null\n  }\n\n  unsetItemState() {\n    this.getIdleItems().forEach((item, i) => {\n      delete item.dataset.isAbove\n      delete item.dataset.isToggled\n      item.style.transform = ''\n    })\n  }\n\n  dispose() {\n    this.off.forEach((f) => f())\n  }\n}\n","import { api } from './api'\nimport type { ComfyApp } from './app'\nimport { $el } from './ui'\n\n// Simple date formatter\nconst parts = {\n  d: (d) => d.getDate(),\n  M: (d) => d.getMonth() + 1,\n  h: (d) => d.getHours(),\n  m: (d) => d.getMinutes(),\n  s: (d) => d.getSeconds()\n}\nconst format =\n  Object.keys(parts)\n    .map((k) => k + k + '?')\n    .join('|') + '|yyy?y?'\n\nfunction formatDate(text: string, date: Date) {\n  return text.replace(new RegExp(format, 'g'), (text: string): string => {\n    if (text === 'yy') return (date.getFullYear() + '').substring(2)\n    if (text === 'yyyy') return date.getFullYear().toString()\n    if (text[0] in parts) {\n      const p = parts[text[0]](date)\n      return (p + '').padStart(text.length, '0')\n    }\n    return text\n  })\n}\n\nexport function clone(obj) {\n  try {\n    if (typeof structuredClone !== 'undefined') {\n      return structuredClone(obj)\n    }\n  } catch (error) {\n    // structuredClone is stricter than using JSON.parse/stringify so fallback to that\n  }\n\n  return JSON.parse(JSON.stringify(obj))\n}\n\nexport function applyTextReplacements(app: ComfyApp, value: string): string {\n  return value.replace(/%([^%]+)%/g, function (match, text) {\n    const split = text.split('.')\n    if (split.length !== 2) {\n      // Special handling for dates\n      if (split[0].startsWith('date:')) {\n        return formatDate(split[0].substring(5), new Date())\n      }\n\n      if (text !== 'width' && text !== 'height') {\n        // Dont warn on standard replacements\n        console.warn('Invalid replacement pattern', text)\n      }\n      return match\n    }\n\n    // Find node with matching S&R property name\n    // @ts-expect-error\n    let nodes = app.graph._nodes.filter(\n      (n) => n.properties?.['Node name for S&R'] === split[0]\n    )\n    // If we cant, see if there is a node with that title\n    if (!nodes.length) {\n      // @ts-expect-error\n      nodes = app.graph._nodes.filter((n) => n.title === split[0])\n    }\n    if (!nodes.length) {\n      console.warn('Unable to find node', split[0])\n      return match\n    }\n\n    if (nodes.length > 1) {\n      console.warn('Multiple nodes matched', split[0], 'using first match')\n    }\n\n    const node = nodes[0]\n\n    const widget = node.widgets?.find((w) => w.name === split[1])\n    if (!widget) {\n      console.warn('Unable to find widget', split[1], 'on node', split[0], node)\n      return match\n    }\n\n    return ((widget.value ?? '') + '').replaceAll(/\\/|\\\\/g, '_')\n  })\n}\n\nexport async function addStylesheet(\n  urlOrFile: string,\n  relativeTo?: string\n): Promise<void> {\n  return new Promise((res, rej) => {\n    let url\n    if (urlOrFile.endsWith('.js')) {\n      url = urlOrFile.substr(0, urlOrFile.length - 2) + 'css'\n    } else {\n      url = new URL(\n        urlOrFile,\n        relativeTo ?? `${window.location.protocol}//${window.location.host}`\n      ).toString()\n    }\n    $el('link', {\n      parent: document.head,\n      rel: 'stylesheet',\n      type: 'text/css',\n      href: url,\n      onload: res,\n      onerror: rej\n    })\n  })\n}\n\n/**\n * @param { string } filename\n * @param { Blob } blob\n */\nexport function downloadBlob(filename, blob) {\n  const url = URL.createObjectURL(blob)\n  const a = $el('a', {\n    href: url,\n    download: filename,\n    style: { display: 'none' },\n    parent: document.body\n  })\n  a.click()\n  setTimeout(function () {\n    a.remove()\n    window.URL.revokeObjectURL(url)\n  }, 0)\n}\n\nexport function prop<T>(\n  target: object,\n  name: string,\n  defaultValue: T,\n  onChanged?: (\n    currentValue: T,\n    previousValue: T,\n    target: object,\n    name: string\n  ) => void\n): T {\n  let currentValue\n  Object.defineProperty(target, name, {\n    get() {\n      return currentValue\n    },\n    set(newValue) {\n      const prevValue = currentValue\n      currentValue = newValue\n      onChanged?.(currentValue, prevValue, target, name)\n    }\n  })\n  return defaultValue\n}\n\nexport function getStorageValue(id) {\n  const clientId = api.clientId ?? api.initialClientId\n  return (\n    (clientId && sessionStorage.getItem(`${id}:${clientId}`)) ??\n    localStorage.getItem(id)\n  )\n}\n\nexport function setStorageValue(id, value) {\n  const clientId = api.clientId ?? api.initialClientId\n  if (clientId) {\n    sessionStorage.setItem(`${id}:${clientId}`, value)\n  }\n  localStorage.setItem(id, value)\n}\n","type RGB = { r: number; g: number; b: number }\ntype HSL = { h: number; s: number; l: number }\n\nfunction rgbToHsl({ r, g, b }: RGB): HSL {\n  r /= 255\n  g /= 255\n  b /= 255\n  const max = Math.max(r, g, b),\n    min = Math.min(r, g, b)\n  let h: number, s: number\n  const l: number = (max + min) / 2\n\n  if (max === min) {\n    h = s = 0 // achromatic\n  } else {\n    const d = max - min\n    s = l > 0.5 ? d / (2 - max - min) : d / (max + min)\n    switch (max) {\n      case r:\n        h = (g - b) / d + (g < b ? 6 : 0)\n        break\n      case g:\n        h = (b - r) / d + 2\n        break\n      case b:\n        h = (r - g) / d + 4\n        break\n    }\n    h /= 6\n  }\n\n  return { h, s, l }\n}\n\nfunction hslToRgb({ h, s, l }: HSL): RGB {\n  let r: number, g: number, b: number\n\n  if (s === 0) {\n    r = g = b = l // achromatic\n  } else {\n    const hue2rgb = (p: number, q: number, t: number) => {\n      if (t < 0) t += 1\n      if (t > 1) t -= 1\n      if (t < 1 / 6) return p + (q - p) * 6 * t\n      if (t < 1 / 2) return q\n      if (t < 2 / 3) return p + (q - p) * (2 / 3 - t) * 6\n      return p\n    }\n\n    const q = l < 0.5 ? l * (1 + s) : l + s - l * s\n    const p = 2 * l - q\n    r = hue2rgb(p, q, h + 1 / 3)\n    g = hue2rgb(p, q, h)\n    b = hue2rgb(p, q, h - 1 / 3)\n  }\n\n  return {\n    r: Math.round(r * 255),\n    g: Math.round(g * 255),\n    b: Math.round(b * 255)\n  }\n}\n\nfunction hexToRgb(hex: string): RGB {\n  let r = 0,\n    g = 0,\n    b = 0\n  // 3 digits\n  if (hex.length == 4) {\n    r = parseInt(hex[1] + hex[1], 16)\n    g = parseInt(hex[2] + hex[2], 16)\n    b = parseInt(hex[3] + hex[3], 16)\n  }\n  // 6 digits\n  else if (hex.length == 7) {\n    r = parseInt(hex.slice(1, 3), 16)\n    g = parseInt(hex.slice(3, 5), 16)\n    b = parseInt(hex.slice(5, 7), 16)\n  }\n  return { r, g, b }\n}\n\nfunction rgbToHex({ r, g, b }: RGB): string {\n  return (\n    '#' +\n    [r, g, b]\n      .map((x) => {\n        const hex = x.toString(16)\n        return hex.length === 1 ? '0' + hex : hex\n      })\n      .join('')\n  )\n}\n\nexport function lightenColor(hex: string, amount: number): string {\n  let rgb = hexToRgb(hex)\n  const hsl = rgbToHsl(rgb)\n  hsl.l = Math.min(1, hsl.l + amount)\n  rgb = hslToRgb(hsl)\n  return rgbToHex(rgb)\n}\n","export type ClassList = string | string[] | Record<string, boolean>\n\nexport function applyClasses(\n  element: HTMLElement,\n  classList: ClassList,\n  ...requiredClasses: string[]\n) {\n  classList ??= ''\n\n  let str: string\n  if (typeof classList === 'string') {\n    str = classList\n  } else if (classList instanceof Array) {\n    str = classList.join(' ')\n  } else {\n    str = Object.entries(classList).reduce((p, c) => {\n      if (c[1]) {\n        p += (p.length ? ' ' : '') + c[0]\n      }\n      return p\n    }, '')\n  }\n  element.className = str\n  if (requiredClasses) {\n    element.classList.add(...requiredClasses)\n  }\n}\n\nexport function toggleElement(\n  element: HTMLElement,\n  {\n    onHide,\n    onShow\n  }: {\n    onHide?: (el: HTMLElement) => void\n    onShow?: (el: HTMLElement, value) => void\n  } = {}\n) {\n  let placeholder: HTMLElement | Comment\n  let hidden: boolean\n  return (value) => {\n    if (value) {\n      if (hidden) {\n        hidden = false\n        placeholder.replaceWith(element)\n      }\n      onShow?.(element, value)\n    } else {\n      if (!placeholder) {\n        placeholder = document.createComment('')\n      }\n      hidden = true\n      element.replaceWith(placeholder)\n      onHide?.(element)\n    }\n  }\n}\n","import { $el } from '../../ui'\nimport { applyClasses, ClassList, toggleElement } from '../utils'\nimport { prop } from '../../utils'\nimport type { ComfyPopup } from './popup'\nimport type { ComfyComponent } from '.'\nimport type { ComfyApp } from '@/scripts/app'\nimport { Settings } from '@/types/apiTypes'\n\ntype ComfyButtonProps = {\n  icon?: string\n  overIcon?: string\n  iconSize?: number\n  content?: string | HTMLElement\n  tooltip?: string\n  enabled?: boolean\n  action?: (e: Event, btn: ComfyButton) => void\n  classList?: ClassList\n  visibilitySetting?: { id: keyof Settings; showValue: boolean }\n  app?: ComfyApp\n}\n\nexport class ComfyButton implements ComfyComponent<HTMLElement> {\n  #over = 0\n  #popupOpen = false\n  isOver = false\n  iconElement = $el('i.mdi')\n  contentElement = $el('span')\n  popup: ComfyPopup\n  element: HTMLElement\n  overIcon: string\n  iconSize: number\n  content: string | HTMLElement\n  icon: string\n  tooltip: string\n  classList: ClassList\n  hidden: boolean\n  enabled: boolean\n  action: (e: Event, btn: ComfyButton) => void\n\n  constructor({\n    icon,\n    overIcon,\n    iconSize,\n    content,\n    tooltip,\n    action,\n    classList = 'comfyui-button',\n    visibilitySetting,\n    app,\n    enabled = true\n  }: ComfyButtonProps) {\n    this.element = $el(\n      'button',\n      {\n        onmouseenter: () => {\n          this.isOver = true\n          if (this.overIcon) {\n            this.updateIcon()\n          }\n        },\n        onmouseleave: () => {\n          this.isOver = false\n          if (this.overIcon) {\n            this.updateIcon()\n          }\n        }\n      },\n      [this.iconElement, this.contentElement]\n    )\n\n    this.icon = prop(\n      this,\n      'icon',\n      icon,\n      toggleElement(this.iconElement, { onShow: this.updateIcon })\n    )\n    this.overIcon = prop(this, 'overIcon', overIcon, () => {\n      if (this.isOver) {\n        this.updateIcon()\n      }\n    })\n    this.iconSize = prop(this, 'iconSize', iconSize, this.updateIcon)\n    this.content = prop(\n      this,\n      'content',\n      content,\n      toggleElement(this.contentElement, {\n        onShow: (el, v) => {\n          if (typeof v === 'string') {\n            el.textContent = v\n          } else {\n            el.replaceChildren(v)\n          }\n        }\n      })\n    )\n\n    this.tooltip = prop(this, 'tooltip', tooltip, (v) => {\n      if (v) {\n        this.element.title = v\n      } else {\n        this.element.removeAttribute('title')\n      }\n    })\n    this.classList = prop(this, 'classList', classList, this.updateClasses)\n    this.hidden = prop(this, 'hidden', false, this.updateClasses)\n    this.enabled = prop(this, 'enabled', enabled, () => {\n      this.updateClasses()\n      ;(this.element as HTMLButtonElement).disabled = !this.enabled\n    })\n    this.action = prop(this, 'action', action)\n    this.element.addEventListener('click', (e) => {\n      if (this.popup) {\n        // we are either a touch device or triggered by click not hover\n        if (!this.#over) {\n          this.popup.toggle()\n        }\n      }\n      this.action?.(e, this)\n    })\n\n    if (visibilitySetting?.id) {\n      const settingUpdated = () => {\n        this.hidden =\n          app.ui.settings.getSettingValue(visibilitySetting.id) !==\n          visibilitySetting.showValue\n      }\n      app.ui.settings.addEventListener(\n        visibilitySetting.id + '.change',\n        settingUpdated\n      )\n      settingUpdated()\n    }\n  }\n\n  updateIcon = () =>\n    (this.iconElement.className = `mdi mdi-${(this.isOver && this.overIcon) || this.icon}${this.iconSize ? ' mdi-' + this.iconSize + 'px' : ''}`)\n  updateClasses = () => {\n    const internalClasses = []\n    if (this.hidden) {\n      internalClasses.push('hidden')\n    }\n    if (!this.enabled) {\n      internalClasses.push('disabled')\n    }\n    if (this.popup) {\n      if (this.#popupOpen) {\n        internalClasses.push('popup-open')\n      } else {\n        internalClasses.push('popup-closed')\n      }\n    }\n    applyClasses(this.element, this.classList, ...internalClasses)\n  }\n\n  withPopup(popup: ComfyPopup, mode: 'click' | 'hover' = 'click') {\n    this.popup = popup\n\n    if (mode === 'hover') {\n      for (const el of [this.element, this.popup.element]) {\n        el.addEventListener('mouseenter', () => {\n          this.popup.open = !!++this.#over\n        })\n        el.addEventListener('mouseleave', () => {\n          this.popup.open = !!--this.#over\n        })\n      }\n    }\n\n    popup.addEventListener('change', () => {\n      this.#popupOpen = popup.open\n      this.updateClasses()\n    })\n\n    return this\n  }\n}\n","import { $el } from '../../ui'\nimport { ComfyButton } from './button'\nimport { prop } from '../../utils'\n\nexport class ComfyButtonGroup {\n  element = $el('div.comfyui-button-group')\n  buttons: (HTMLElement | ComfyButton)[]\n\n  constructor(...buttons: (HTMLElement | ComfyButton)[]) {\n    this.buttons = prop(this, 'buttons', buttons, () => this.update())\n  }\n\n  insert(button: ComfyButton, index: number) {\n    this.buttons.splice(index, 0, button)\n    this.update()\n  }\n\n  append(button: ComfyButton) {\n    this.buttons.push(button)\n    this.update()\n  }\n\n  remove(indexOrButton: ComfyButton | number) {\n    if (typeof indexOrButton !== 'number') {\n      indexOrButton = this.buttons.indexOf(indexOrButton)\n    }\n    if (indexOrButton > -1) {\n      const r = this.buttons.splice(indexOrButton, 1)\n      this.update()\n      return r\n    }\n  }\n\n  update() {\n    this.element.replaceChildren(...this.buttons.map((b) => b['element'] ?? b))\n  }\n}\n","import { prop } from '../../utils'\nimport { $el } from '../../ui'\nimport { applyClasses, ClassList } from '../utils'\n\nexport class ComfyPopup extends EventTarget {\n  element = $el('div.comfyui-popup')\n  open: boolean\n  children: HTMLElement[]\n  target: HTMLElement\n  ignoreTarget: boolean\n  container: HTMLElement\n  position: string\n  closeOnEscape: boolean\n  horizontal: string\n  classList: ClassList\n\n  constructor(\n    {\n      target,\n      container = document.body,\n      classList = '',\n      ignoreTarget = true,\n      closeOnEscape = true,\n      position = 'absolute',\n      horizontal = 'left'\n    }: {\n      target: HTMLElement\n      container?: HTMLElement\n      classList?: ClassList\n      ignoreTarget?: boolean\n      closeOnEscape?: boolean\n      position?: 'absolute' | 'relative'\n      horizontal?: 'left' | 'right'\n    },\n    ...children: HTMLElement[]\n  ) {\n    super()\n    this.target = target\n    this.ignoreTarget = ignoreTarget\n    this.container = container\n    this.position = position\n    this.closeOnEscape = closeOnEscape\n    this.horizontal = horizontal\n\n    container.append(this.element)\n\n    this.children = prop(this, 'children', children, () => {\n      this.element.replaceChildren(...this.children)\n      this.update()\n    })\n    this.classList = prop(this, 'classList', classList, () =>\n      applyClasses(this.element, this.classList, 'comfyui-popup', horizontal)\n    )\n    this.open = prop(this, 'open', false, (v, o) => {\n      if (v === o) return\n      if (v) {\n        this.#show()\n      } else {\n        this.#hide()\n      }\n    })\n  }\n\n  toggle() {\n    this.open = !this.open\n  }\n\n  #hide() {\n    this.element.classList.remove('open')\n    window.removeEventListener('resize', this.update)\n    window.removeEventListener('click', this.#clickHandler, { capture: true })\n    window.removeEventListener('keydown', this.#escHandler, { capture: true })\n\n    this.dispatchEvent(new CustomEvent('close'))\n    this.dispatchEvent(new CustomEvent('change'))\n  }\n\n  #show() {\n    this.element.classList.add('open')\n    this.update()\n\n    window.addEventListener('resize', this.update)\n    window.addEventListener('click', this.#clickHandler, { capture: true })\n    if (this.closeOnEscape) {\n      window.addEventListener('keydown', this.#escHandler, { capture: true })\n    }\n\n    this.dispatchEvent(new CustomEvent('open'))\n    this.dispatchEvent(new CustomEvent('change'))\n  }\n\n  #escHandler = (e) => {\n    if (e.key === 'Escape') {\n      this.open = false\n      e.preventDefault()\n      e.stopImmediatePropagation()\n    }\n  }\n\n  #clickHandler = (e) => {\n    /** @type {any} */\n    const target = e.target\n    if (\n      !this.element.contains(target) &&\n      this.ignoreTarget &&\n      !this.target.contains(target)\n    ) {\n      this.open = false\n    }\n  }\n\n  update = () => {\n    const rect = this.target.getBoundingClientRect()\n    this.element.style.setProperty('--bottom', 'unset')\n    if (this.position === 'absolute') {\n      if (this.horizontal === 'left') {\n        this.element.style.setProperty('--left', rect.left + 'px')\n      } else {\n        this.element.style.setProperty(\n          '--left',\n          rect.right - this.element.clientWidth + 'px'\n        )\n      }\n      this.element.style.setProperty('--top', rect.bottom + 'px')\n      this.element.style.setProperty('--limit', rect.bottom + 'px')\n    } else {\n      this.element.style.setProperty('--left', 0 + 'px')\n      this.element.style.setProperty('--top', rect.height + 'px')\n      this.element.style.setProperty('--limit', rect.height + 'px')\n    }\n\n    const thisRect = this.element.getBoundingClientRect()\n    if (thisRect.height < 30) {\n      // Move up instead\n      this.element.style.setProperty('--top', 'unset')\n      this.element.style.setProperty('--bottom', rect.height + 5 + 'px')\n      this.element.style.setProperty('--limit', rect.height + 5 + 'px')\n    }\n  }\n}\n","import { $el } from '../../ui'\nimport { ComfyButton } from './button'\nimport { prop } from '../../utils'\nimport { ComfyPopup } from './popup'\n\nexport class ComfySplitButton {\n  arrow: ComfyButton\n  element: HTMLElement\n  popup: ComfyPopup\n  items: Array<HTMLElement | ComfyButton>\n\n  constructor(\n    {\n      primary,\n      mode,\n      horizontal = 'left',\n      position = 'relative'\n    }: {\n      primary: ComfyButton\n      mode?: 'hover' | 'click'\n      horizontal?: 'left' | 'right'\n      position?: 'relative' | 'absolute'\n    },\n    ...items: Array<HTMLElement | ComfyButton>\n  ) {\n    this.arrow = new ComfyButton({\n      icon: 'chevron-down'\n    })\n    this.element = $el(\n      'div.comfyui-split-button' + (mode === 'hover' ? '.hover' : ''),\n      [\n        $el('div.comfyui-split-primary', primary.element),\n        $el('div.comfyui-split-arrow', this.arrow.element)\n      ]\n    )\n    this.popup = new ComfyPopup({\n      target: this.element,\n      container: position === 'relative' ? this.element : document.body,\n      classList:\n        'comfyui-split-button-popup' + (mode === 'hover' ? ' hover' : ''),\n      closeOnEscape: mode === 'click',\n      position,\n      horizontal\n    })\n\n    this.arrow.withPopup(this.popup, mode)\n\n    this.items = prop(this, 'items', items, () => this.update())\n  }\n\n  update() {\n    this.popup.element.replaceChildren(\n      ...this.items.map((b) => ('element' in b ? b.element : b))\n    )\n  }\n}\n","import type { ComfyApp } from '@/scripts/app'\nimport { $el } from '../../ui'\nimport { prop } from '../../utils'\n\nexport class ComfyQueueOptions extends EventTarget {\n  element = $el('div.comfyui-queue-options')\n  app: ComfyApp\n  batchCountInput: HTMLInputElement\n  batchCount: number\n  batchCountRange: HTMLInputElement\n  autoQueueMode: string\n  autoQueueEl: HTMLElement\n\n  constructor(app: ComfyApp) {\n    super()\n    this.app = app\n\n    this.batchCountInput = $el('input', {\n      className: 'comfyui-queue-batch-value',\n      type: 'number',\n      min: '1',\n      value: '1',\n      oninput: () => (this.batchCount = +this.batchCountInput.value)\n    })\n\n    this.batchCountRange = $el('input', {\n      type: 'range',\n      min: '1',\n      max: '100',\n      value: '1',\n      oninput: () => (this.batchCount = +this.batchCountRange.value)\n    })\n\n    this.element.append(\n      $el('div.comfyui-queue-batch', [\n        $el(\n          'label',\n          {\n            textContent: 'Batch count: '\n          },\n          this.batchCountInput\n        ),\n        this.batchCountRange\n      ])\n    )\n\n    const createOption = (text, value, checked = false) =>\n      $el(\n        'label',\n        { textContent: text },\n        $el('input', {\n          type: 'radio',\n          name: 'AutoQueueMode',\n          checked,\n          value,\n          oninput: (e) => (this.autoQueueMode = e.target['value'])\n        })\n      )\n\n    this.autoQueueEl = $el('div.comfyui-queue-mode', [\n      $el('span', 'Auto Queue:'),\n      createOption('Disabled', '', true),\n      createOption('Instant', 'instant'),\n      createOption('On Change', 'change')\n    ])\n\n    this.element.append(this.autoQueueEl)\n\n    this.batchCount = prop(this, 'batchCount', 1, () => {\n      this.batchCountInput.value = this.batchCount + ''\n      this.batchCountRange.value = this.batchCount + ''\n    })\n\n    this.autoQueueMode = prop(this, 'autoQueueMode', 'Disabled', () => {\n      this.dispatchEvent(\n        new CustomEvent('autoQueueMode', {\n          detail: this.autoQueueMode\n        })\n      )\n    })\n  }\n}\n","import { ComfyButton } from '../components/button'\nimport { $el } from '../../ui'\nimport { api } from '../../api'\nimport { ComfySplitButton } from '../components/splitButton'\nimport { ComfyQueueOptions } from './queueOptions'\nimport { prop } from '../../utils'\nimport type { ComfyApp } from '@/scripts/app'\nimport { StatusWsMessageStatus } from '@/types/apiTypes'\n\nexport class ComfyQueueButton {\n  element = $el('div.comfyui-queue-button')\n  #internalQueueSize = 0\n\n  queuePrompt = async (e?: MouseEvent) => {\n    this.#internalQueueSize += this.queueOptions.batchCount\n    // Hold shift to queue front, event is undefined when auto-queue is enabled\n    await this.app.queuePrompt(\n      e?.shiftKey ? -1 : 0,\n      this.queueOptions.batchCount\n    )\n  }\n  queueOptions: ComfyQueueOptions\n  app: ComfyApp\n  autoQueueMode: string\n  graphHasChanged: boolean\n\n  constructor(app: ComfyApp) {\n    this.app = app\n\n    const queue = new ComfyButton({\n      content: $el('div', [\n        $el('span', {\n          textContent: 'Queue'\n        })\n      ]),\n      icon: 'play',\n      classList: 'comfyui-button',\n      action: this.queuePrompt\n    })\n\n    this.queueOptions = new ComfyQueueOptions(app)\n\n    const btn = new ComfySplitButton(\n      {\n        primary: queue,\n        mode: 'click',\n        position: 'absolute',\n        horizontal: 'right'\n      },\n      this.queueOptions.element\n    )\n    btn.element.classList.add('primary')\n    this.element.append(btn.element)\n\n    this.autoQueueMode = prop(this, 'autoQueueMode', '', () => {\n      switch (this.autoQueueMode) {\n        case 'instant':\n          queue.icon = 'infinity'\n          break\n        case 'change':\n          queue.icon = 'auto-mode'\n          break\n        default:\n          queue.icon = 'play'\n          break\n      }\n    })\n\n    this.queueOptions.addEventListener(\n      'autoQueueMode',\n      (e) => (this.autoQueueMode = e['detail'])\n    )\n\n    api.addEventListener('graphChanged', () => {\n      if (this.autoQueueMode === 'change') {\n        if (this.#internalQueueSize) {\n          this.graphHasChanged = true\n        } else {\n          this.graphHasChanged = false\n          this.queuePrompt()\n        }\n      }\n    })\n\n    api.addEventListener(\n      'status',\n      ({ detail }: CustomEvent<StatusWsMessageStatus>) => {\n        this.#internalQueueSize = detail?.exec_info?.queue_remaining\n        if (this.#internalQueueSize != null) {\n          if (!this.#internalQueueSize && !app.lastExecutionError) {\n            if (\n              this.autoQueueMode === 'instant' ||\n              (this.autoQueueMode === 'change' && this.graphHasChanged)\n            ) {\n              this.graphHasChanged = false\n              this.queuePrompt()\n            }\n          }\n        }\n      }\n    )\n  }\n}\n","import './spinner.css'\n\nexport function createSpinner() {\n  const div = document.createElement('div')\n  div.innerHTML = `<div class=\"lds-ring\"><div></div><div></div><div></div><div></div></div>`\n  return div.firstElementChild\n}\n","import type { ComfyApp } from './app'\nimport { api } from './api'\nimport { clone } from './utils'\nimport { LGraphCanvas, LiteGraph } from '@comfyorg/litegraph'\nimport { ComfyWorkflow } from './workflows'\n\nexport class ChangeTracker {\n  static MAX_HISTORY = 50\n  #app: ComfyApp\n  undo = []\n  redo = []\n  activeState = null\n  isOurLoad = false\n  workflow: ComfyWorkflow | null\n\n  ds: { scale: number; offset: [number, number] }\n  nodeOutputs: any\n\n  get app() {\n    return this.#app ?? this.workflow.manager.app\n  }\n\n  constructor(workflow: ComfyWorkflow) {\n    this.workflow = workflow\n  }\n\n  #setApp(app) {\n    this.#app = app\n  }\n\n  store() {\n    this.ds = {\n      scale: this.app.canvas.ds.scale,\n      offset: [...this.app.canvas.ds.offset]\n    }\n  }\n\n  restore() {\n    if (this.ds) {\n      this.app.canvas.ds.scale = this.ds.scale\n      this.app.canvas.ds.offset = this.ds.offset\n    }\n    if (this.nodeOutputs) {\n      this.app.nodeOutputs = this.nodeOutputs\n    }\n  }\n\n  checkState() {\n    if (!this.app.graph) return\n\n    const currentState = this.app.graph.serialize()\n    if (!this.activeState) {\n      this.activeState = clone(currentState)\n      return\n    }\n    if (!ChangeTracker.graphEqual(this.activeState, currentState)) {\n      this.undo.push(this.activeState)\n      if (this.undo.length > ChangeTracker.MAX_HISTORY) {\n        this.undo.shift()\n      }\n      this.activeState = clone(currentState)\n      this.redo.length = 0\n      this.workflow.unsaved = true\n      api.dispatchEvent(\n        new CustomEvent('graphChanged', { detail: this.activeState })\n      )\n    }\n  }\n\n  async updateState(source, target) {\n    const prevState = source.pop()\n    if (prevState) {\n      target.push(this.activeState)\n      this.isOurLoad = true\n      await this.app.loadGraphData(prevState, false, false, this.workflow)\n      this.activeState = prevState\n    }\n  }\n\n  async undoRedo(e) {\n    if (e.ctrlKey || e.metaKey) {\n      if (e.key === 'y') {\n        this.updateState(this.redo, this.undo)\n        return true\n      } else if (e.key === 'z') {\n        this.updateState(this.undo, this.redo)\n        return true\n      }\n    }\n  }\n\n  static init(app: ComfyApp) {\n    const changeTracker = () =>\n      app.workflowManager.activeWorkflow?.changeTracker ?? globalTracker\n    globalTracker.#setApp(app)\n\n    const loadGraphData = app.loadGraphData\n    app.loadGraphData = async function () {\n      const v = await loadGraphData.apply(this, arguments)\n      const ct = changeTracker()\n      if (ct.isOurLoad) {\n        ct.isOurLoad = false\n      } else {\n        ct.checkState()\n      }\n      return v\n    }\n\n    let keyIgnored = false\n    window.addEventListener(\n      'keydown',\n      (e) => {\n        const activeEl = document.activeElement\n        requestAnimationFrame(async () => {\n          let bindInputEl\n          // If we are auto queue in change mode then we do want to trigger on inputs\n          if (!app.ui.autoQueueEnabled || app.ui.autoQueueMode === 'instant') {\n            if (\n              activeEl?.tagName === 'INPUT' ||\n              activeEl?.['type'] === 'textarea'\n            ) {\n              // Ignore events on inputs, they have their native history\n              return\n            }\n            bindInputEl = activeEl\n          }\n\n          keyIgnored =\n            e.key === 'Control' ||\n            e.key === 'Shift' ||\n            e.key === 'Alt' ||\n            e.key === 'Meta'\n          if (keyIgnored) return\n\n          // Check if this is a ctrl+z ctrl+y\n          if (await changeTracker().undoRedo(e)) return\n\n          // If our active element is some type of input then handle changes after they're done\n          if (ChangeTracker.bindInput(app, bindInputEl)) return\n          changeTracker().checkState()\n        })\n      },\n      true\n    )\n\n    window.addEventListener('keyup', (e) => {\n      if (keyIgnored) {\n        keyIgnored = false\n        changeTracker().checkState()\n      }\n    })\n\n    // Handle clicking DOM elements (e.g. widgets)\n    window.addEventListener('mouseup', () => {\n      changeTracker().checkState()\n    })\n\n    // Handle prompt queue event for dynamic widget changes\n    api.addEventListener('promptQueued', () => {\n      changeTracker().checkState()\n    })\n\n    api.addEventListener('graphCleared', () => {\n      changeTracker().checkState()\n    })\n\n    // Handle litegraph clicks\n    const processMouseUp = LGraphCanvas.prototype.processMouseUp\n    LGraphCanvas.prototype.processMouseUp = function (e) {\n      const v = processMouseUp.apply(this, arguments)\n      changeTracker().checkState()\n      return v\n    }\n    const processMouseDown = LGraphCanvas.prototype.processMouseDown\n    LGraphCanvas.prototype.processMouseDown = function (e) {\n      const v = processMouseDown.apply(this, arguments)\n      changeTracker().checkState()\n      return v\n    }\n\n    // Handle litegraph context menu for COMBO widgets\n    const close = LiteGraph.ContextMenu.prototype.close\n    LiteGraph.ContextMenu.prototype.close = function (e) {\n      const v = close.apply(this, arguments)\n      changeTracker().checkState()\n      return v\n    }\n\n    // Detects nodes being added via the node search dialog\n    const onNodeAdded = LiteGraph.LGraph.prototype.onNodeAdded\n    LiteGraph.LGraph.prototype.onNodeAdded = function () {\n      const v = onNodeAdded?.apply(this, arguments)\n      if (!app?.configuringGraph) {\n        const ct = changeTracker()\n        if (!ct.isOurLoad) {\n          ct.checkState()\n        }\n      }\n      return v\n    }\n\n    // Store node outputs\n    api.addEventListener('executed', ({ detail }) => {\n      const prompt = app.workflowManager.queuedPrompts[detail.prompt_id]\n      if (!prompt?.workflow) return\n      const nodeOutputs = (prompt.workflow.changeTracker.nodeOutputs ??= {})\n      const output = nodeOutputs[detail.node]\n      if (detail.merge && output) {\n        for (const k in detail.output ?? {}) {\n          const v = output[k]\n          if (v instanceof Array) {\n            output[k] = v.concat(detail.output[k])\n          } else {\n            output[k] = detail.output[k]\n          }\n        }\n      } else {\n        nodeOutputs[detail.node] = detail.output\n      }\n    })\n  }\n\n  static bindInput(app, activeEl) {\n    if (\n      activeEl &&\n      activeEl.tagName !== 'CANVAS' &&\n      activeEl.tagName !== 'BODY'\n    ) {\n      for (const evt of ['change', 'input', 'blur']) {\n        if (`on${evt}` in activeEl) {\n          const listener = () => {\n            app.workflowManager.activeWorkflow.changeTracker.checkState()\n            activeEl.removeEventListener(evt, listener)\n          }\n          activeEl.addEventListener(evt, listener)\n          return true\n        }\n      }\n    }\n  }\n\n  static graphEqual(a, b, path = '') {\n    if (a === b) return true\n\n    if (typeof a == 'object' && a && typeof b == 'object' && b) {\n      const keys = Object.getOwnPropertyNames(a)\n\n      if (keys.length != Object.getOwnPropertyNames(b).length) {\n        return false\n      }\n\n      for (const key of keys) {\n        let av = a[key]\n        let bv = b[key]\n        if (!path && key === 'nodes') {\n          // Nodes need to be sorted as the order changes when selecting nodes\n          av = [...av].sort((a, b) => a.id - b.id)\n          bv = [...bv].sort((a, b) => a.id - b.id)\n        } else if (path === 'extra.ds') {\n          // Ignore view changes\n          continue\n        }\n        if (!ChangeTracker.graphEqual(av, bv, path + (path ? '.' : '') + key)) {\n          return false\n        }\n      }\n\n      return true\n    }\n\n    return false\n  }\n}\n\nconst globalTracker = new ChangeTracker({} as ComfyWorkflow)\n","import { ComfyDialog } from '../dialog'\nimport { $el } from '../../ui'\n\nexport class ComfyAsyncDialog extends ComfyDialog<HTMLDialogElement> {\n  #resolve: (value: any) => void\n\n  constructor(actions?: Array<string | { value?: any; text: string }>) {\n    super(\n      'dialog.comfy-dialog.comfyui-dialog',\n      actions?.map((opt) => {\n        if (typeof opt === 'string') {\n          opt = { text: opt }\n        }\n        return $el('button.comfyui-button', {\n          type: 'button',\n          textContent: opt.text,\n          onclick: () => this.close(opt.value ?? opt.text)\n        })\n      })\n    )\n  }\n\n  show(html: string | HTMLElement | HTMLElement[]) {\n    this.element.addEventListener('close', () => {\n      this.close()\n    })\n\n    super.show(html)\n\n    return new Promise((resolve) => {\n      this.#resolve = resolve\n    })\n  }\n\n  showModal(html: string | HTMLElement | HTMLElement[]) {\n    this.element.addEventListener('close', () => {\n      this.close()\n    })\n\n    super.show(html)\n    this.element.showModal()\n\n    return new Promise((resolve) => {\n      this.#resolve = resolve\n    })\n  }\n\n  close(result = null) {\n    this.#resolve(result)\n    this.element.close()\n    super.close()\n  }\n\n  static async prompt({ title = null, message, actions }) {\n    const dialog = new ComfyAsyncDialog(actions)\n    const content = [$el('span', message)]\n    if (title) {\n      content.unshift($el('h3', title))\n    }\n    const res = await dialog.showModal(content)\n    dialog.element.remove()\n    return res\n  }\n}\n","import type { ComfyApp } from './app'\nimport { api } from './api'\nimport { ChangeTracker } from './changeTracker'\nimport { ComfyAsyncDialog } from './ui/components/asyncDialog'\nimport { getStorageValue, setStorageValue } from './utils'\nimport { LGraphCanvas, LGraph } from '@comfyorg/litegraph'\n\nfunction appendJsonExt(path: string) {\n  if (!path.toLowerCase().endsWith('.json')) {\n    path += '.json'\n  }\n  return path\n}\n\nexport function trimJsonExt(path: string) {\n  return path?.replace(/\\.json$/, '')\n}\n\nexport class ComfyWorkflowManager extends EventTarget {\n  #activePromptId: string | null = null\n  #unsavedCount = 0\n  #activeWorkflow: ComfyWorkflow\n\n  workflowLookup: Record<string, ComfyWorkflow> = {}\n  workflows: Array<ComfyWorkflow> = []\n  openWorkflows: Array<ComfyWorkflow> = []\n  queuedPrompts: Record<\n    string,\n    { workflow?: ComfyWorkflow; nodes?: Record<string, boolean> }\n  > = {}\n  app: ComfyApp\n\n  get activeWorkflow() {\n    return this.#activeWorkflow ?? this.openWorkflows[0]\n  }\n\n  get activePromptId() {\n    return this.#activePromptId\n  }\n\n  get activePrompt() {\n    return this.queuedPrompts[this.#activePromptId]\n  }\n\n  constructor(app: ComfyApp) {\n    super()\n    this.app = app\n    ChangeTracker.init(app)\n\n    this.#bindExecutionEvents()\n  }\n\n  #bindExecutionEvents() {\n    // TODO: on reload, set active prompt based on the latest ws message\n\n    const emit = () =>\n      this.dispatchEvent(\n        new CustomEvent('execute', { detail: this.activePrompt })\n      )\n    let executing = null\n    api.addEventListener('execution_start', (e) => {\n      this.#activePromptId = e.detail.prompt_id\n\n      // This event can fire before the event is stored, so put a placeholder\n      this.queuedPrompts[this.#activePromptId] ??= { nodes: {} }\n      emit()\n    })\n    api.addEventListener('execution_cached', (e) => {\n      if (!this.activePrompt) return\n      for (const n of e.detail.nodes) {\n        this.activePrompt.nodes[n] = true\n      }\n      emit()\n    })\n    api.addEventListener('executed', (e) => {\n      if (!this.activePrompt) return\n      this.activePrompt.nodes[e.detail.node] = true\n      emit()\n    })\n    api.addEventListener('executing', (e) => {\n      if (!this.activePrompt) return\n\n      if (executing) {\n        // Seems sometimes nodes that are cached fire executing but not executed\n        this.activePrompt.nodes[executing] = true\n      }\n      executing = e.detail\n      if (!executing) {\n        delete this.queuedPrompts[this.#activePromptId]\n        this.#activePromptId = null\n      }\n      emit()\n    })\n  }\n\n  async loadWorkflows() {\n    try {\n      let favorites\n      const resp = await api.getUserData('workflows/.index.json')\n      let info\n      if (resp.status === 200) {\n        info = await resp.json()\n        favorites = new Set(info?.favorites ?? [])\n      } else {\n        favorites = new Set()\n      }\n\n      const workflows = (await api.listUserData('workflows', true, true)).map(\n        (w) => {\n          let workflow = this.workflowLookup[w[0]]\n          if (!workflow) {\n            workflow = new ComfyWorkflow(\n              this,\n              w[0],\n              w.slice(1),\n              favorites.has(w[0])\n            )\n            this.workflowLookup[workflow.path] = workflow\n          }\n          return workflow\n        }\n      )\n\n      this.workflows = workflows\n    } catch (error) {\n      alert('Error loading workflows: ' + (error.message ?? error))\n      this.workflows = []\n    }\n  }\n\n  async saveWorkflowMetadata() {\n    await api.storeUserData('workflows/.index.json', {\n      favorites: [\n        ...this.workflows.filter((w) => w.isFavorite).map((w) => w.path)\n      ]\n    })\n  }\n\n  /**\n   * @param {string | ComfyWorkflow | null} workflow\n   */\n  setWorkflow(workflow) {\n    if (workflow && typeof workflow === 'string') {\n      // Selected by path, i.e. on reload of last workflow\n      const found = this.workflows.find((w) => w.path === workflow)\n      if (found) {\n        workflow = found\n        workflow.unsaved =\n          !workflow ||\n          getStorageValue('Comfy.PreviousWorkflowUnsaved') === 'true'\n      }\n    }\n\n    if (!(workflow instanceof ComfyWorkflow)) {\n      // Still not found, either reloading a deleted workflow or blank\n      workflow = new ComfyWorkflow(\n        this,\n        workflow ||\n          'Unsaved Workflow' +\n            (this.#unsavedCount++ ? ` (${this.#unsavedCount})` : '')\n      )\n    }\n\n    const index = this.openWorkflows.indexOf(workflow)\n    if (index === -1) {\n      // Opening a new workflow\n      this.openWorkflows.push(workflow)\n    }\n\n    this.#activeWorkflow = workflow\n\n    setStorageValue('Comfy.PreviousWorkflow', this.activeWorkflow.path ?? '')\n    this.dispatchEvent(new CustomEvent('changeWorkflow'))\n  }\n\n  storePrompt({ nodes, id }) {\n    this.queuedPrompts[id] ??= {}\n    this.queuedPrompts[id].nodes = {\n      ...nodes.reduce((p, n) => {\n        p[n] = false\n        return p\n      }, {}),\n      ...this.queuedPrompts[id].nodes\n    }\n    this.queuedPrompts[id].workflow = this.activeWorkflow\n  }\n\n  /**\n   * @param {ComfyWorkflow} workflow\n   */\n  async closeWorkflow(workflow, warnIfUnsaved = true) {\n    if (!workflow.isOpen) {\n      return true\n    }\n    if (workflow.unsaved && warnIfUnsaved) {\n      const res = await ComfyAsyncDialog.prompt({\n        title: 'Save Changes?',\n        message: `Do you want to save changes to \"${workflow.path ?? workflow.name}\" before closing?`,\n        actions: ['Yes', 'No', 'Cancel']\n      })\n      if (res === 'Yes') {\n        const active = this.activeWorkflow\n        if (active !== workflow) {\n          // We need to switch to the workflow to save it\n          await workflow.load()\n        }\n\n        if (!(await workflow.save())) {\n          // Save was canceled, restore the previous workflow\n          if (active !== workflow) {\n            await active.load()\n          }\n          return\n        }\n      } else if (res === 'Cancel') {\n        return\n      }\n    }\n    workflow.changeTracker = null\n    this.openWorkflows.splice(this.openWorkflows.indexOf(workflow), 1)\n    if (this.openWorkflows.length) {\n      this.#activeWorkflow = this.openWorkflows[0]\n      await this.#activeWorkflow.load()\n    } else {\n      // Load default\n      await this.app.loadGraphData()\n    }\n  }\n}\n\nexport class ComfyWorkflow {\n  #name\n  #path\n  #pathParts\n  #isFavorite = false\n  changeTracker: ChangeTracker | null = null\n  unsaved = false\n  manager: ComfyWorkflowManager\n\n  get name() {\n    return this.#name\n  }\n\n  get path() {\n    return this.#path\n  }\n\n  get pathParts() {\n    return this.#pathParts\n  }\n\n  get isFavorite() {\n    return this.#isFavorite\n  }\n\n  get isOpen() {\n    return !!this.changeTracker\n  }\n\n  constructor(\n    manager: ComfyWorkflowManager,\n    path: string,\n    pathParts?: string[],\n    isFavorite?: boolean\n  ) {\n    this.manager = manager\n    if (pathParts) {\n      this.#updatePath(path, pathParts)\n      this.#isFavorite = isFavorite\n    } else {\n      this.#name = path\n      this.unsaved = true\n    }\n  }\n\n  #updatePath(path: string, pathParts: string[]) {\n    this.#path = path\n\n    if (!pathParts) {\n      if (!path.includes('\\\\')) {\n        pathParts = path.split('/')\n      } else {\n        pathParts = path.split('\\\\')\n      }\n    }\n\n    this.#pathParts = pathParts\n    this.#name = trimJsonExt(pathParts[pathParts.length - 1])\n  }\n\n  async getWorkflowData() {\n    const resp = await api.getUserData('workflows/' + this.path)\n    if (resp.status !== 200) {\n      alert(\n        `Error loading workflow file '${this.path}': ${resp.status} ${resp.statusText}`\n      )\n      return\n    }\n    return await resp.json()\n  }\n\n  load = async () => {\n    if (this.isOpen) {\n      await this.manager.app.loadGraphData(\n        this.changeTracker.activeState,\n        true,\n        true,\n        this\n      )\n    } else {\n      const data = await this.getWorkflowData()\n      if (!data) return\n      await this.manager.app.loadGraphData(data, true, true, this)\n    }\n  }\n\n  async save(saveAs = false) {\n    if (!this.path || saveAs) {\n      return !!(await this.#save(null, false))\n    } else {\n      return !!(await this.#save(this.path, true))\n    }\n  }\n\n  async favorite(value: boolean) {\n    try {\n      if (this.#isFavorite === value) return\n      this.#isFavorite = value\n      await this.manager.saveWorkflowMetadata()\n      this.manager.dispatchEvent(new CustomEvent('favorite', { detail: this }))\n    } catch (error) {\n      alert(\n        'Error favoriting workflow ' +\n          this.path +\n          '\\n' +\n          (error.message ?? error)\n      )\n    }\n  }\n\n  async rename(path: string) {\n    path = appendJsonExt(path)\n    let resp = await api.moveUserData(\n      'workflows/' + this.path,\n      'workflows/' + path\n    )\n\n    if (resp.status === 409) {\n      if (\n        !confirm(\n          `Workflow '${path}' already exists, do you want to overwrite it?`\n        )\n      )\n        return resp\n      resp = await api.moveUserData(\n        'workflows/' + this.path,\n        'workflows/' + path,\n        { overwrite: true }\n      )\n    }\n\n    if (resp.status !== 200) {\n      alert(\n        `Error renaming workflow file '${this.path}': ${resp.status} ${resp.statusText}`\n      )\n      return\n    }\n\n    const isFav = this.isFavorite\n    if (isFav) {\n      await this.favorite(false)\n    }\n    path = (await resp.json()).substring('workflows/'.length)\n    this.#updatePath(path, null)\n    if (isFav) {\n      await this.favorite(true)\n    }\n    this.manager.dispatchEvent(new CustomEvent('rename', { detail: this }))\n    setStorageValue('Comfy.PreviousWorkflow', this.path ?? '')\n  }\n\n  async insert() {\n    const data = await this.getWorkflowData()\n    if (!data) return\n\n    const old = localStorage.getItem('litegrapheditor_clipboard')\n    const graph = new LGraph(data)\n    const canvas = new LGraphCanvas(null, graph, {\n      // @ts-expect-error\n      skip_events: true,\n      skip_render: true\n    })\n    canvas.selectNodes()\n    canvas.copyToClipboard()\n    this.manager.app.canvas.pasteFromClipboard()\n    localStorage.setItem('litegrapheditor_clipboard', old)\n  }\n\n  async delete() {\n    // TODO: fix delete of current workflow - should mark workflow as unsaved and when saving use old name by default\n\n    if (this.isFavorite) {\n      await this.favorite(false)\n    }\n    const resp = await api.deleteUserData('workflows/' + this.path)\n    if (resp.status !== 204) {\n      alert(\n        `Error removing user data file '${this.path}': ${resp.status} ${resp.statusText}`\n      )\n    }\n\n    this.unsaved = true\n    this.#path = null\n    this.#pathParts = null\n    this.manager.workflows.splice(this.manager.workflows.indexOf(this), 1)\n    this.manager.dispatchEvent(new CustomEvent('delete', { detail: this }))\n  }\n\n  track() {\n    if (this.changeTracker) {\n      this.changeTracker.restore()\n    } else {\n      this.changeTracker = new ChangeTracker(this)\n    }\n  }\n\n  async #save(path: string | null, overwrite: boolean) {\n    if (!path) {\n      path = prompt(\n        'Save workflow as:',\n        trimJsonExt(this.path) ?? this.name ?? 'workflow'\n      )\n      if (!path) return\n    }\n\n    path = appendJsonExt(path)\n\n    const p = await this.manager.app.graphToPrompt()\n    const json = JSON.stringify(p.workflow, null, 2)\n    let resp = await api.storeUserData('workflows/' + path, json, {\n      stringify: false,\n      throwOnError: false,\n      overwrite\n    })\n    if (resp.status === 409) {\n      if (\n        !confirm(\n          `Workflow '${path}' already exists, do you want to overwrite it?`\n        )\n      )\n        return\n      resp = await api.storeUserData('workflows/' + path, json, {\n        stringify: false\n      })\n    }\n\n    if (resp.status !== 200) {\n      alert(\n        `Error saving workflow '${this.path}': ${resp.status} ${resp.statusText}`\n      )\n      return\n    }\n\n    path = (await resp.json()).substring('workflows/'.length)\n\n    if (!this.path) {\n      // Saved new workflow, patch this instance\n      this.#updatePath(path, null)\n      await this.manager.loadWorkflows()\n      this.unsaved = false\n      this.manager.dispatchEvent(new CustomEvent('rename', { detail: this }))\n      setStorageValue('Comfy.PreviousWorkflow', this.path ?? '')\n    } else if (path !== this.path) {\n      // Saved as, open the new copy\n      await this.manager.loadWorkflows()\n      const workflow = this.manager.workflowLookup[path]\n      await workflow.load()\n    } else {\n      // Normal save\n      this.unsaved = false\n      this.manager.dispatchEvent(new CustomEvent('save', { detail: this }))\n    }\n\n    return true\n  }\n}\n","import { ComfyButton } from '../components/button'\nimport { prop, getStorageValue, setStorageValue } from '../../utils'\nimport { $el } from '../../ui'\nimport { api } from '../../api'\nimport { ComfyPopup } from '../components/popup'\nimport { createSpinner } from '../spinner'\nimport { ComfyWorkflow, trimJsonExt } from '../../workflows'\nimport { ComfyAsyncDialog } from '../components/asyncDialog'\nimport type { ComfyApp } from '@/scripts/app'\nimport type { ComfyComponent } from '../components'\n\nexport class ComfyWorkflowsMenu {\n  #first = true\n  element = $el('div.comfyui-workflows')\n  popup: ComfyPopup\n  app: ComfyApp\n  buttonProgress: HTMLElement\n  workflowLabel: HTMLElement\n  button: ComfyButton\n  content: ComfyWorkflowsContent\n  unsaved: boolean\n\n  get open() {\n    return this.popup.open\n  }\n\n  set open(open) {\n    this.popup.open = open\n  }\n\n  constructor(app: ComfyApp) {\n    this.app = app\n    this.#bindEvents()\n\n    const classList = {\n      'comfyui-workflows-button': true,\n      'comfyui-button': true,\n      unsaved: getStorageValue('Comfy.PreviousWorkflowUnsaved') === 'true',\n      running: false\n    }\n    this.buttonProgress = $el('div.comfyui-workflows-button-progress')\n    this.workflowLabel = $el('span.comfyui-workflows-label', '')\n    this.button = new ComfyButton({\n      content: $el('div.comfyui-workflows-button-inner', [\n        $el('i.mdi.mdi-graph'),\n        this.workflowLabel,\n        this.buttonProgress\n      ]),\n      icon: 'chevron-down',\n      classList\n    })\n\n    this.element.append(this.button.element)\n\n    this.popup = new ComfyPopup({\n      target: this.element,\n      classList: 'comfyui-workflows-popup'\n    })\n    this.content = new ComfyWorkflowsContent(app, this.popup)\n    this.popup.children = [this.content.element]\n    this.popup.addEventListener('change', () => {\n      this.button.icon = 'chevron-' + (this.popup.open ? 'up' : 'down')\n    })\n    this.button.withPopup(this.popup)\n\n    this.unsaved = prop(this, 'unsaved', classList.unsaved, (v) => {\n      classList.unsaved = v\n      this.button.classList = classList\n      setStorageValue('Comfy.PreviousWorkflowUnsaved', v)\n    })\n  }\n\n  #updateProgress = () => {\n    const prompt = this.app.workflowManager.activePrompt\n    let percent = 0\n    if (this.app.workflowManager.activeWorkflow === prompt?.workflow) {\n      const total = Object.values(prompt.nodes)\n      const done = total.filter(Boolean)\n      percent = (done.length / total.length) * 100\n    }\n    this.buttonProgress.style.width = percent + '%'\n  }\n\n  #updateActive = () => {\n    const active = this.app.workflowManager.activeWorkflow\n    this.button.tooltip = active.path\n    this.workflowLabel.textContent = active.name\n    this.unsaved = active.unsaved\n\n    if (this.#first) {\n      this.#first = false\n      this.content.load()\n    }\n\n    this.#updateProgress()\n  }\n\n  #bindEvents() {\n    this.app.workflowManager.addEventListener(\n      'changeWorkflow',\n      this.#updateActive\n    )\n    this.app.workflowManager.addEventListener('rename', this.#updateActive)\n    this.app.workflowManager.addEventListener('delete', this.#updateActive)\n\n    this.app.workflowManager.addEventListener('save', () => {\n      this.unsaved = this.app.workflowManager.activeWorkflow.unsaved\n    })\n\n    this.app.workflowManager.addEventListener('execute', (e) => {\n      this.#updateProgress()\n    })\n\n    api.addEventListener('graphChanged', () => {\n      this.unsaved = true\n    })\n  }\n\n  #getMenuOptions(callback) {\n    const menu = []\n    const directories = new Map()\n    for (const workflow of this.app.workflowManager.workflows || []) {\n      const path = workflow.pathParts\n      if (!path) continue\n      let parent = menu\n      let currentPath = ''\n      for (let i = 0; i < path.length - 1; i++) {\n        currentPath += '/' + path[i]\n        let newParent = directories.get(currentPath)\n        if (!newParent) {\n          newParent = {\n            title: path[i],\n            has_submenu: true,\n            submenu: {\n              options: []\n            }\n          }\n          parent.push(newParent)\n          newParent = newParent.submenu.options\n          directories.set(currentPath, newParent)\n        }\n        parent = newParent\n      }\n      parent.push({\n        title: trimJsonExt(path[path.length - 1]),\n        callback: () => callback(workflow)\n      })\n    }\n    return menu\n  }\n\n  #getFavoriteMenuOptions(callback) {\n    const menu = []\n    for (const workflow of this.app.workflowManager.workflows || []) {\n      if (workflow.isFavorite) {\n        menu.push({\n          title: '⭐ ' + workflow.name,\n          callback: () => callback(workflow)\n        })\n      }\n    }\n    return menu\n  }\n\n  registerExtension(app: ComfyApp) {\n    const self = this\n    app.registerExtension({\n      name: 'Comfy.Workflows',\n      async beforeRegisterNodeDef(nodeType) {\n        function getImageWidget(node) {\n          const inputs = {\n            ...node.constructor?.nodeData?.input?.required,\n            ...node.constructor?.nodeData?.input?.optional\n          }\n          for (const input in inputs) {\n            if (inputs[input][0] === 'IMAGEUPLOAD') {\n              const imageWidget = node.widgets.find(\n                (w) => w.name === (inputs[input]?.[1]?.widget ?? 'image')\n              )\n              if (imageWidget) return imageWidget\n            }\n          }\n        }\n\n        function setWidgetImage(node, widget, img) {\n          const url = new URL(img.src)\n          const filename = url.searchParams.get('filename')\n          const subfolder = url.searchParams.get('subfolder')\n          const type = url.searchParams.get('type')\n          const imageId = `${subfolder ? subfolder + '/' : ''}${filename} [${type}]`\n          widget.value = imageId\n          node.imgs = [img]\n          app.graph.setDirtyCanvas(true, true)\n        }\n\n        async function sendToWorkflow(\n          img: HTMLImageElement,\n          workflow: ComfyWorkflow\n        ) {\n          const openWorkflow = app.workflowManager.openWorkflows.find(\n            (w) => w.path === workflow.path\n          )\n          if (openWorkflow) {\n            workflow = openWorkflow\n          }\n\n          await workflow.load()\n          let options = []\n          const nodes = app.graph.computeExecutionOrder(false)\n          for (const node of nodes) {\n            const widget = getImageWidget(node)\n            if (widget == null) continue\n\n            if (node.title?.toLowerCase().includes('input')) {\n              options = [{ widget, node }]\n              break\n            } else {\n              options.push({ widget, node })\n            }\n          }\n\n          if (!options.length) {\n            alert('No image nodes have been found in this workflow!')\n            return\n          } else if (options.length > 1) {\n            const dialog = new WidgetSelectionDialog(options)\n            const res = await dialog.show(app)\n            if (!res) return\n            options = [res]\n          }\n\n          setWidgetImage(options[0].node, options[0].widget, img)\n        }\n\n        const getExtraMenuOptions = nodeType.prototype['getExtraMenuOptions']\n        nodeType.prototype['getExtraMenuOptions'] = function (\n          this: { imageIndex?: number; overIndex?: number; imgs: string[] },\n          _,\n          options\n        ) {\n          const r = getExtraMenuOptions?.apply?.(this, arguments)\n          const setting = app.ui.settings.getSettingValue(\n            'Comfy.UseNewMenu',\n            false\n          )\n          if (setting && setting != 'Disabled') {\n            const t = this\n            let img\n            if (t.imageIndex != null) {\n              // An image is selected so select that\n              img = t.imgs?.[t.imageIndex]\n            } else if (t.overIndex != null) {\n              // No image is selected but one is hovered\n              img = t.imgs?.[t.overIndex]\n            }\n\n            if (img) {\n              let pos = options.findIndex((o) => o.content === 'Save Image')\n              if (pos === -1) {\n                pos = 0\n              } else {\n                pos++\n              }\n\n              options.splice(pos, 0, {\n                content: 'Send to workflow',\n                has_submenu: true,\n                submenu: {\n                  options: [\n                    {\n                      callback: () =>\n                        sendToWorkflow(img, app.workflowManager.activeWorkflow),\n                      title: '[Current workflow]'\n                    },\n                    ...self.#getFavoriteMenuOptions(\n                      sendToWorkflow.bind(null, img)\n                    ),\n                    null,\n                    ...self.#getMenuOptions(sendToWorkflow.bind(null, img))\n                  ]\n                }\n              })\n            }\n          }\n\n          return r\n        }\n      }\n    })\n  }\n}\n\nexport class ComfyWorkflowsContent {\n  element = $el('div.comfyui-workflows-panel')\n  treeState = {}\n  treeFiles: Record<string, WorkflowElement> = {}\n  openFiles: Map<ComfyWorkflow, WorkflowElement<ComfyComponent>> = new Map()\n  activeElement: WorkflowElement<ComfyComponent> = null\n  spinner: Element\n  openElement: HTMLElement\n  favoritesElement: HTMLElement\n  treeElement: HTMLElement\n  app: ComfyApp\n  popup: ComfyPopup\n  actions: HTMLElement\n  filterText: string | undefined\n  treeRoot: HTMLElement\n\n  constructor(app: ComfyApp, popup: ComfyPopup) {\n    this.app = app\n    this.popup = popup\n    this.actions = $el('div.comfyui-workflows-actions', [\n      new ComfyButton({\n        content: 'Default',\n        icon: 'file-code',\n        iconSize: 18,\n        classList: 'comfyui-button primary',\n        tooltip: 'Load default workflow',\n        action: () => {\n          popup.open = false\n          app.loadGraphData()\n          app.resetView()\n        }\n      }).element,\n      new ComfyButton({\n        content: 'Browse',\n        icon: 'folder',\n        iconSize: 18,\n        tooltip: 'Browse for an image or exported workflow',\n        action: () => {\n          popup.open = false\n          app.ui.loadFile()\n        }\n      }).element,\n      new ComfyButton({\n        content: 'Blank',\n        icon: 'plus-thick',\n        iconSize: 18,\n        tooltip: 'Create a new blank workflow',\n        action: () => {\n          app.workflowManager.setWorkflow(null)\n          app.clean()\n          app.graph.clear()\n          app.workflowManager.activeWorkflow.track()\n          popup.open = false\n        }\n      }).element\n    ])\n\n    this.spinner = createSpinner()\n    this.element.replaceChildren(this.actions, this.spinner)\n\n    this.popup.addEventListener('open', () => this.load())\n    this.popup.addEventListener('close', () =>\n      this.element.replaceChildren(this.actions, this.spinner)\n    )\n\n    this.app.workflowManager.addEventListener('favorite', (e) => {\n      const workflow = e['detail']\n      const button = this.treeFiles[workflow.path]?.primary\n      if (!button) return // Can happen when a workflow is renamed\n      button.icon = this.#getFavoriteIcon(workflow)\n      button.overIcon = this.#getFavoriteOverIcon(workflow)\n      this.updateFavorites()\n    })\n\n    for (const e of ['save', 'open', 'close', 'changeWorkflow']) {\n      // TODO: dont be lazy and just update the specific element\n      app.workflowManager.addEventListener(e, () => this.updateOpen())\n    }\n    this.app.workflowManager.addEventListener('rename', () => this.load())\n    this.app.workflowManager.addEventListener('execute', (e) =>\n      this.#updateActive()\n    )\n  }\n\n  async load() {\n    await this.app.workflowManager.loadWorkflows()\n    this.updateTree()\n    this.updateFavorites()\n    this.updateOpen()\n    this.element.replaceChildren(\n      this.actions,\n      this.openElement,\n      this.favoritesElement,\n      this.treeElement\n    )\n  }\n\n  updateOpen() {\n    const current = this.openElement\n    this.openFiles.clear()\n\n    this.openElement = $el('div.comfyui-workflows-open', [\n      $el('h3', 'Open'),\n      ...this.app.workflowManager.openWorkflows.map((w) => {\n        const wrapper = new WorkflowElement(this, w, {\n          primary: { element: $el('i.mdi.mdi-18px.mdi-progress-pencil') },\n          buttons: [\n            this.#getRenameButton(w),\n            new ComfyButton({\n              icon: 'close',\n              iconSize: 18,\n              classList: 'comfyui-button comfyui-workflows-file-action',\n              tooltip: 'Close workflow',\n              action: (e) => {\n                e.stopImmediatePropagation()\n                this.app.workflowManager.closeWorkflow(w)\n              }\n            })\n          ]\n        })\n        if (w.unsaved) {\n          wrapper.element.classList.add('unsaved')\n        }\n        if (w === this.app.workflowManager.activeWorkflow) {\n          wrapper.element.classList.add('active')\n        }\n\n        this.openFiles.set(w, wrapper)\n        return wrapper.element\n      })\n    ])\n\n    this.#updateActive()\n    current?.replaceWith(this.openElement)\n  }\n\n  updateFavorites() {\n    const current = this.favoritesElement\n    const favorites = [\n      ...this.app.workflowManager.workflows.filter((w) => w.isFavorite)\n    ]\n\n    this.favoritesElement = $el('div.comfyui-workflows-favorites', [\n      $el('h3', 'Favorites'),\n      ...favorites\n        .map((w) => {\n          return this.#getWorkflowElement(w).element\n        })\n        .filter(Boolean)\n    ])\n\n    current?.replaceWith(this.favoritesElement)\n  }\n\n  filterTree() {\n    if (!this.filterText) {\n      this.treeRoot.classList.remove('filtered')\n      // Unfilter whole tree\n      for (const item of Object.values(this.treeFiles)) {\n        item.element.parentElement.style.removeProperty('display')\n        this.showTreeParents(item.element.parentElement)\n      }\n      return\n    }\n    this.treeRoot.classList.add('filtered')\n    const searchTerms = this.filterText.toLocaleLowerCase().split(' ')\n    for (const item of Object.values(this.treeFiles)) {\n      const parts = item.workflow.pathParts\n      let termIndex = 0\n      let valid = false\n      for (const part of parts) {\n        let currentIndex = 0\n        do {\n          currentIndex = part.indexOf(searchTerms[termIndex], currentIndex)\n          if (currentIndex > -1) currentIndex += searchTerms[termIndex].length\n        } while (currentIndex !== -1 && ++termIndex < searchTerms.length)\n\n        if (termIndex >= searchTerms.length) {\n          valid = true\n          break\n        }\n      }\n      if (valid) {\n        item.element.parentElement.style.removeProperty('display')\n        this.showTreeParents(item.element.parentElement)\n      } else {\n        item.element.parentElement.style.display = 'none'\n        this.hideTreeParents(item.element.parentElement)\n      }\n    }\n  }\n\n  hideTreeParents(element) {\n    // Hide all parents if no children are visible\n    if (\n      element.parentElement?.classList.contains('comfyui-workflows-tree') ===\n      false\n    ) {\n      for (let i = 1; i < element.parentElement.children.length; i++) {\n        const c = element.parentElement.children[i]\n        if (c.style.display !== 'none') {\n          return\n        }\n      }\n      element.parentElement.style.display = 'none'\n      this.hideTreeParents(element.parentElement)\n    }\n  }\n\n  showTreeParents(element) {\n    if (\n      element.parentElement?.classList.contains('comfyui-workflows-tree') ===\n      false\n    ) {\n      element.parentElement.style.removeProperty('display')\n      this.showTreeParents(element.parentElement)\n    }\n  }\n\n  updateTree() {\n    const current = this.treeElement\n    const nodes = {}\n    let typingTimeout\n\n    this.treeFiles = {}\n    this.treeRoot = $el('ul.comfyui-workflows-tree')\n    this.treeElement = $el('section', [\n      $el('header', [\n        $el('h3', 'Browse'),\n        $el('div.comfy-ui-workflows-search', [\n          $el('i.mdi.mdi-18px.mdi-magnify'),\n          $el('input', {\n            placeholder: 'Search',\n            value: this.filterText ?? '',\n            oninput: (e: InputEvent) => {\n              this.filterText = e.target['value']?.trim()\n              clearTimeout(typingTimeout)\n              typingTimeout = setTimeout(() => this.filterTree(), 250)\n            }\n          })\n        ])\n      ]),\n      this.treeRoot\n    ])\n\n    for (const workflow of this.app.workflowManager.workflows) {\n      if (!workflow.pathParts) continue\n\n      let currentPath = ''\n      let currentRoot = this.treeRoot\n\n      for (let i = 0; i < workflow.pathParts.length; i++) {\n        currentPath += (currentPath ? '\\\\' : '') + workflow.pathParts[i]\n        const parentNode =\n          nodes[currentPath] ??\n          this.#createNode(currentPath, workflow, i, currentRoot)\n\n        nodes[currentPath] = parentNode\n        currentRoot = parentNode\n      }\n    }\n\n    current?.replaceWith(this.treeElement)\n    this.filterTree()\n  }\n\n  #expandNode(el, workflow, thisPath, i) {\n    const expanded = !el.classList.toggle('closed')\n    if (expanded) {\n      let c = ''\n      for (let j = 0; j <= i; j++) {\n        c += (c ? '\\\\' : '') + workflow.pathParts[j]\n        this.treeState[c] = true\n      }\n    } else {\n      let c = thisPath\n      for (let j = i + 1; j < workflow.pathParts.length; j++) {\n        c += (c ? '\\\\' : '') + workflow.pathParts[j]\n        delete this.treeState[c]\n      }\n      delete this.treeState[thisPath]\n    }\n  }\n\n  #updateActive() {\n    this.#removeActive()\n\n    const active = this.app.workflowManager.activePrompt\n    if (!active?.workflow) return\n\n    const open = this.openFiles.get(active.workflow)\n    if (!open) return\n\n    this.activeElement = open\n\n    const total = Object.values(active.nodes)\n    const done = total.filter(Boolean)\n    const percent = done.length / total.length\n    open.element.classList.add('running')\n    open.element.style.setProperty('--progress', percent * 100 + '%')\n    open.primary.element.classList.remove('mdi-progress-pencil')\n    open.primary.element.classList.add('mdi-play')\n  }\n\n  #removeActive() {\n    if (!this.activeElement) return\n    this.activeElement.element.classList.remove('running')\n    this.activeElement.element.style.removeProperty('--progress')\n    this.activeElement.primary.element.classList.add('mdi-progress-pencil')\n    this.activeElement.primary.element.classList.remove('mdi-play')\n  }\n\n  #getFavoriteIcon(workflow: ComfyWorkflow) {\n    return workflow.isFavorite ? 'star' : 'file-outline'\n  }\n\n  #getFavoriteOverIcon(workflow: ComfyWorkflow) {\n    return workflow.isFavorite ? 'star-off' : 'star-outline'\n  }\n\n  #getFavoriteTooltip(workflow: ComfyWorkflow) {\n    return workflow.isFavorite\n      ? 'Remove this workflow from your favorites'\n      : 'Add this workflow to your favorites'\n  }\n\n  #getFavoriteButton(workflow: ComfyWorkflow, primary: boolean) {\n    return new ComfyButton({\n      icon: this.#getFavoriteIcon(workflow),\n      overIcon: this.#getFavoriteOverIcon(workflow),\n      iconSize: 18,\n      classList:\n        'comfyui-button comfyui-workflows-file-action-favorite' +\n        (primary ? ' comfyui-workflows-file-action-primary' : ''),\n      tooltip: this.#getFavoriteTooltip(workflow),\n      action: (e) => {\n        e.stopImmediatePropagation()\n        workflow.favorite(!workflow.isFavorite)\n      }\n    })\n  }\n\n  #getDeleteButton(workflow: ComfyWorkflow) {\n    const deleteButton = new ComfyButton({\n      icon: 'delete',\n      tooltip: 'Delete this workflow',\n      classList: 'comfyui-button comfyui-workflows-file-action',\n      iconSize: 18,\n      action: async (e, btn) => {\n        e.stopImmediatePropagation()\n\n        if (btn.icon === 'delete-empty') {\n          btn.enabled = false\n          await workflow.delete()\n          await this.load()\n        } else {\n          btn.icon = 'delete-empty'\n          btn.element.style.background = 'red'\n        }\n      }\n    })\n    deleteButton.element.addEventListener('mouseleave', () => {\n      deleteButton.icon = 'delete'\n      deleteButton.element.style.removeProperty('background')\n    })\n    return deleteButton\n  }\n\n  #getInsertButton(workflow: ComfyWorkflow) {\n    return new ComfyButton({\n      icon: 'file-move-outline',\n      iconSize: 18,\n      tooltip: 'Insert this workflow into the current workflow',\n      classList: 'comfyui-button comfyui-workflows-file-action',\n      action: (e) => {\n        if (!this.app.shiftDown) {\n          this.popup.open = false\n        }\n        e.stopImmediatePropagation()\n        if (!this.app.shiftDown) {\n          this.popup.open = false\n        }\n        workflow.insert()\n      }\n    })\n  }\n\n  /** @param {ComfyWorkflow} workflow */\n  #getRenameButton(workflow: ComfyWorkflow) {\n    return new ComfyButton({\n      icon: 'pencil',\n      tooltip: workflow.path\n        ? 'Rename this workflow'\n        : \"This workflow can't be renamed as it hasn't been saved.\",\n      classList: 'comfyui-button comfyui-workflows-file-action',\n      iconSize: 18,\n      enabled: !!workflow.path,\n      action: async (e) => {\n        e.stopImmediatePropagation()\n        const newName = prompt('Enter new name', workflow.path)\n        if (newName) {\n          await workflow.rename(newName)\n        }\n      }\n    })\n  }\n\n  #getWorkflowElement(workflow: ComfyWorkflow) {\n    return new WorkflowElement(this, workflow, {\n      primary: this.#getFavoriteButton(workflow, true),\n      buttons: [\n        this.#getInsertButton(workflow),\n        this.#getRenameButton(workflow),\n        this.#getDeleteButton(workflow)\n      ]\n    })\n  }\n\n  #createLeafNode(workflow: ComfyWorkflow) {\n    const fileNode = this.#getWorkflowElement(workflow)\n    this.treeFiles[workflow.path] = fileNode\n    return fileNode\n  }\n\n  #createNode(currentPath, workflow, i, currentRoot) {\n    const part = workflow.pathParts[i]\n\n    const parentNode = $el(\n      'ul' + (this.treeState[currentPath] ? '' : '.closed'),\n      {\n        $: (el) => {\n          el.onclick = (e) => {\n            this.#expandNode(el, workflow, currentPath, i)\n            e.stopImmediatePropagation()\n          }\n        }\n      }\n    )\n    currentRoot.append(parentNode)\n\n    // Create a node for the current part and an inner UL for its children if it isnt a leaf node\n    const leaf = i === workflow.pathParts.length - 1\n    let nodeElement\n    if (leaf) {\n      nodeElement = this.#createLeafNode(workflow).element\n    } else {\n      nodeElement = $el('li', [\n        $el('i.mdi.mdi-18px.mdi-folder'),\n        $el('span', part)\n      ])\n    }\n    parentNode.append(nodeElement)\n    return parentNode\n  }\n}\n\nclass WorkflowElement<TPrimary extends ComfyComponent = ComfyButton> {\n  parent: ComfyWorkflowsContent\n  workflow: ComfyWorkflow\n  primary: TPrimary\n  buttons: ComfyButton[]\n  element: HTMLElement\n  constructor(\n    parent: ComfyWorkflowsContent,\n    workflow: ComfyWorkflow,\n    {\n      tagName = 'li',\n      primary,\n      buttons\n    }: { tagName?: string; primary: TPrimary; buttons: ComfyButton[] }\n  ) {\n    this.parent = parent\n    this.workflow = workflow\n    this.primary = primary\n    this.buttons = buttons\n\n    this.element = $el(\n      tagName + '.comfyui-workflows-tree-file',\n      {\n        onclick: () => {\n          workflow.load()\n          this.parent.popup.open = false\n        },\n        title: this.workflow.path\n      },\n      [\n        this.primary?.element,\n        $el('span', workflow.name),\n        ...buttons.map((b) => b.element)\n      ]\n    )\n  }\n}\n\ntype WidgetSelectionDialogOptions = Array<{\n  widget: { name: string }\n  node: { pos: [number, number]; title: string; id: string; type: string }\n}>\n\nclass WidgetSelectionDialog extends ComfyAsyncDialog {\n  #options: WidgetSelectionDialogOptions\n\n  constructor(options: WidgetSelectionDialogOptions) {\n    super()\n    this.#options = options\n  }\n\n  show(app) {\n    this.element.classList.add('comfy-widget-selection-dialog')\n    return super.show(\n      $el('div', [\n        $el('h2', 'Select image target'),\n        $el(\n          'p',\n          \"This workflow has multiple image loader nodes, you can rename a node to include 'input' in the title for it to be automatically selected, or select one below.\"\n        ),\n        $el(\n          'section',\n          this.#options.map((opt) => {\n            return $el('div.comfy-widget-selection-item', [\n              $el(\n                'span',\n                { dataset: { id: opt.node.id } },\n                `${opt.node.title ?? opt.node.type} ${opt.widget.name}`\n              ),\n              $el(\n                'button.comfyui-button',\n                {\n                  onclick: () => {\n                    app.canvas.ds.offset[0] = -opt.node.pos[0] + 50\n                    app.canvas.ds.offset[1] = -opt.node.pos[1] + 50\n                    app.canvas.selectNode(opt.node)\n                    app.graph.setDirtyCanvas(true, true)\n                  }\n                },\n                'Show'\n              ),\n              $el(\n                'button.comfyui-button.primary',\n                {\n                  onclick: () => {\n                    this.close(opt)\n                  }\n                },\n                'Select'\n              )\n            ])\n          })\n        )\n      ])\n    )\n  }\n}\n","import { StatusWsMessageStatus } from '@/types/apiTypes'\nimport { api } from '../../api'\nimport { ComfyButton } from '../components/button'\nimport { useToastStore } from '@/stores/toastStore'\n\nexport function getInterruptButton(visibility: string) {\n  const btn = new ComfyButton({\n    icon: 'close',\n    tooltip: 'Cancel current generation',\n    enabled: false,\n    action: async () => {\n      await api.interrupt()\n      useToastStore().add({\n        severity: 'info',\n        summary: 'Interrupted',\n        detail: 'Execution has been interrupted',\n        life: 1000\n      })\n    },\n    classList: ['comfyui-button', 'comfyui-interrupt-button', visibility]\n  })\n\n  api.addEventListener(\n    'status',\n    ({ detail }: CustomEvent<StatusWsMessageStatus>) => {\n      const sz = detail?.exec_info?.queue_remaining\n      btn.enabled = sz > 0\n    }\n  )\n\n  return btn\n}\n","import type { ComfyApp } from '@/scripts/app'\nimport { api } from '../../api'\nimport { $el } from '../../ui'\nimport { downloadBlob } from '../../utils'\nimport { ComfyButton } from '../components/button'\nimport { ComfyButtonGroup } from '../components/buttonGroup'\nimport { ComfySplitButton } from '../components/splitButton'\nimport { ComfyQueueButton } from './queueButton'\nimport { ComfyWorkflowsMenu } from './workflows'\nimport { getInterruptButton } from './interruptButton'\nimport './menu.css'\nimport type { ComfySettingsDialog } from '../settings'\n\ntype MenuPosition = 'Disabled' | 'Top' | 'Bottom'\n\nconst collapseOnMobile = (t) => {\n  ;(t.element ?? t).classList.add('comfyui-menu-mobile-collapse')\n  return t\n}\nconst showOnMobile = (t) => {\n  ;(t.element ?? t).classList.add('lt-lg-show')\n  return t\n}\n\nexport class ComfyAppMenu {\n  #sizeBreak = 'lg'\n  #lastSizeBreaks = {\n    lg: null,\n    md: null,\n    sm: null,\n    xs: null\n  }\n  #sizeBreaks = Object.keys(this.#lastSizeBreaks)\n  #cachedInnerSize = null\n  #cacheTimeout = null\n  app: ComfyApp\n  workflows: ComfyWorkflowsMenu\n  logo: HTMLElement\n  saveButton: ComfySplitButton\n  actionsGroup: ComfyButtonGroup\n  settingsGroup: ComfyButtonGroup\n  viewGroup: ComfyButtonGroup\n  mobileMenuButton: ComfyButton\n  queueButton: ComfyQueueButton\n  element: HTMLElement\n  menuPositionSetting: ReturnType<ComfySettingsDialog['addSetting']>\n  position: MenuPosition\n\n  constructor(app: ComfyApp) {\n    this.app = app\n\n    this.workflows = new ComfyWorkflowsMenu(app)\n    const getSaveButton = (t?: string) =>\n      new ComfyButton({\n        icon: 'content-save',\n        tooltip: 'Save the current workflow',\n        action: () => app.workflowManager.activeWorkflow.save(),\n        content: t\n      })\n\n    this.logo = $el('h1.comfyui-logo.nlg-hide', { title: 'ComfyUI' }, 'ComfyUI')\n    this.saveButton = new ComfySplitButton(\n      {\n        primary: getSaveButton(),\n        mode: 'hover',\n        position: 'absolute'\n      },\n      getSaveButton('Save'),\n      new ComfyButton({\n        icon: 'content-save-edit',\n        content: 'Save As',\n        tooltip: 'Save the current graph as a new workflow',\n        action: () => app.workflowManager.activeWorkflow.save(true)\n      }),\n      new ComfyButton({\n        icon: 'download',\n        content: 'Export',\n        tooltip: 'Export the current workflow as JSON',\n        action: () => this.exportWorkflow('workflow', 'workflow')\n      }),\n      new ComfyButton({\n        icon: 'api',\n        content: 'Export (API Format)',\n        tooltip:\n          'Export the current workflow as JSON for use with the ComfyUI API',\n        action: () => this.exportWorkflow('workflow_api', 'output'),\n        visibilitySetting: { id: 'Comfy.DevMode', showValue: true },\n        app\n      })\n    )\n\n    this.actionsGroup = new ComfyButtonGroup(\n      new ComfyButton({\n        icon: 'refresh',\n        content: 'Refresh',\n        tooltip: 'Refresh widgets in nodes to find new models or files',\n        action: () => app.refreshComboInNodes()\n      }),\n      new ComfyButton({\n        icon: 'clipboard-edit-outline',\n        content: 'Clipspace',\n        tooltip: 'Open Clipspace window',\n        action: () => app['openClipspace']()\n      }),\n      new ComfyButton({\n        icon: 'fit-to-page-outline',\n        content: 'Reset View',\n        tooltip: 'Reset the canvas view',\n        action: () => app.resetView()\n      }),\n      new ComfyButton({\n        icon: 'cancel',\n        content: 'Clear',\n        tooltip: 'Clears current workflow',\n        action: () => {\n          if (\n            !app.ui.settings.getSettingValue('Comfy.ConfirmClear', true) ||\n            confirm('Clear workflow?')\n          ) {\n            app.clean()\n            app.graph.clear()\n            api.dispatchEvent(new CustomEvent('graphCleared'))\n          }\n        }\n      })\n    )\n    // Keep the settings group as there are custom scripts attaching extra\n    // elements to it.\n    this.settingsGroup = new ComfyButtonGroup()\n    this.viewGroup = new ComfyButtonGroup(\n      getInterruptButton('nlg-hide').element\n    )\n    this.mobileMenuButton = new ComfyButton({\n      icon: 'menu',\n      action: (_, btn) => {\n        btn.icon = this.element.classList.toggle('expanded')\n          ? 'menu-open'\n          : 'menu'\n        window.dispatchEvent(new Event('resize'))\n      },\n      classList: 'comfyui-button comfyui-menu-button'\n    })\n    this.queueButton = new ComfyQueueButton(app)\n\n    this.element = $el('nav.comfyui-menu.lg', { style: { display: 'none' } }, [\n      this.logo,\n      this.workflows.element,\n      this.saveButton.element,\n      collapseOnMobile(this.actionsGroup).element,\n      $el('section.comfyui-menu-push'),\n      collapseOnMobile(this.settingsGroup).element,\n      collapseOnMobile(this.viewGroup).element,\n\n      getInterruptButton('lt-lg-show').element,\n      this.queueButton.element,\n      showOnMobile(this.mobileMenuButton).element\n    ])\n\n    let resizeHandler: () => void\n    this.menuPositionSetting = app.ui.settings.addSetting({\n      id: 'Comfy.UseNewMenu',\n      category: ['Comfy', 'Menu', 'UseNewMenu'],\n      defaultValue: 'Disabled',\n      name: 'Use new menu and workflow management.',\n      experimental: true,\n      tooltip: 'On small screens the menu will always be at the top.',\n      type: 'combo',\n      options: ['Disabled', 'Top', 'Bottom'],\n      onChange: async (v: MenuPosition) => {\n        if (v && v !== 'Disabled') {\n          if (!resizeHandler) {\n            resizeHandler = () => {\n              this.calculateSizeBreak()\n            }\n            window.addEventListener('resize', resizeHandler)\n          }\n          this.updatePosition(v)\n        } else {\n          if (resizeHandler) {\n            window.removeEventListener('resize', resizeHandler)\n            resizeHandler = null\n          }\n          document.body.style.removeProperty('display')\n          app.ui.menuContainer.style.removeProperty('display')\n          this.element.style.display = 'none'\n          app.ui.restoreMenuPosition()\n        }\n        window.dispatchEvent(new Event('resize'))\n      }\n    })\n  }\n\n  updatePosition(v: MenuPosition) {\n    document.body.style.display = 'grid'\n    this.app.ui.menuContainer.style.display = 'none'\n    this.element.style.removeProperty('display')\n    this.position = v\n    if (v === 'Bottom') {\n      this.app.bodyBottom.append(this.element)\n    } else {\n      this.app.bodyTop.prepend(this.element)\n    }\n    this.calculateSizeBreak()\n  }\n\n  updateSizeBreak(idx: number, prevIdx: number, direction: number) {\n    const newSize = this.#sizeBreaks[idx]\n    if (newSize === this.#sizeBreak) return\n    this.#cachedInnerSize = null\n    clearTimeout(this.#cacheTimeout)\n\n    this.#sizeBreak = this.#sizeBreaks[idx]\n    for (let i = 0; i < this.#sizeBreaks.length; i++) {\n      const sz = this.#sizeBreaks[i]\n      if (sz === this.#sizeBreak) {\n        this.element.classList.add(sz)\n      } else {\n        this.element.classList.remove(sz)\n      }\n      if (i < idx) {\n        this.element.classList.add('lt-' + sz)\n      } else {\n        this.element.classList.remove('lt-' + sz)\n      }\n    }\n\n    if (idx) {\n      // We're on a small screen, force the menu at the top\n      if (this.position !== 'Top') {\n        this.updatePosition('Top')\n      }\n    } else if (this.position != this.menuPositionSetting.value) {\n      // Restore user position\n      this.updatePosition(this.menuPositionSetting.value)\n    }\n\n    // Allow multiple updates, but prevent bouncing\n    if (!direction) {\n      direction = prevIdx - idx\n    } else if (direction != prevIdx - idx) {\n      return\n    }\n    this.calculateSizeBreak(direction)\n  }\n\n  calculateSizeBreak(direction = 0) {\n    let idx = this.#sizeBreaks.indexOf(this.#sizeBreak)\n    const currIdx = idx\n    const innerSize = this.calculateInnerSize(idx)\n    if (window.innerWidth >= this.#lastSizeBreaks[this.#sizeBreaks[idx - 1]]) {\n      if (idx > 0) {\n        idx--\n      }\n    } else if (innerSize > this.element.clientWidth) {\n      this.#lastSizeBreaks[this.#sizeBreak] = Math.max(\n        window.innerWidth,\n        innerSize\n      )\n      // We need to shrink\n      if (idx < this.#sizeBreaks.length - 1) {\n        idx++\n      }\n    }\n\n    this.updateSizeBreak(idx, currIdx, direction)\n  }\n\n  calculateInnerSize(idx: number) {\n    // Cache the inner size to prevent too much calculation when resizing the window\n    clearTimeout(this.#cacheTimeout)\n    if (this.#cachedInnerSize) {\n      // Extend cache time\n      this.#cacheTimeout = setTimeout(() => (this.#cachedInnerSize = null), 100)\n    } else {\n      let innerSize = 0\n      let count = 1\n      for (const c of this.element.children) {\n        if (c.classList.contains('comfyui-menu-push')) continue // ignore right push\n        if (idx && c.classList.contains('comfyui-menu-mobile-collapse'))\n          continue // ignore collapse items\n        innerSize += c.clientWidth\n        count++\n      }\n      innerSize += 8 * count\n      this.#cachedInnerSize = innerSize\n      this.#cacheTimeout = setTimeout(() => (this.#cachedInnerSize = null), 100)\n    }\n    return this.#cachedInnerSize\n  }\n\n  getFilename(defaultName: string) {\n    if (this.app.ui.settings.getSettingValue('Comfy.PromptFilename', true)) {\n      defaultName = prompt('Save workflow as:', defaultName)\n      if (!defaultName) return\n      if (!defaultName.toLowerCase().endsWith('.json')) {\n        defaultName += '.json'\n      }\n    }\n    return defaultName\n  }\n\n  async exportWorkflow(\n    filename: string,\n    promptProperty: 'workflow' | 'output'\n  ) {\n    if (this.app.workflowManager.activeWorkflow?.path) {\n      filename = this.app.workflowManager.activeWorkflow.name\n    }\n    const p = await this.app.graphToPrompt()\n    const json = JSON.stringify(p[promptProperty], null, 2)\n    const blob = new Blob([json], { type: 'application/json' })\n    const file = this.getFilename(filename)\n    if (!file) return\n    downloadBlob(file, blob)\n  }\n}\n","export type NodeSourceType = 'core' | 'custom_nodes'\nexport type NodeSource = {\n  type: NodeSourceType\n  className: string\n  displayText: string\n}\n\nexport const getNodeSource = (python_module: string): NodeSource => {\n  const modules = python_module.split('.')\n  if (['nodes', 'comfy_extras'].includes(modules[0])) {\n    return {\n      type: 'core',\n      className: 'comfy-core',\n      displayText: 'Comfy Core'\n    }\n  } else if (modules[0] === 'custom_nodes') {\n    return {\n      type: 'custom_nodes',\n      className: 'comfy-custom-nodes',\n      displayText: modules[1]\n    }\n  } else {\n    throw new Error(`Unknown node source: ${python_module}`)\n  }\n}\n","/**\n * Fuse.js v7.0.0 - Lightweight fuzzy-search (http://fusejs.io)\n *\n * Copyright (c) 2023 Kiro Risk (http://kiro.me)\n * All Rights Reserved. Apache Software License 2.0\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n */\n\nfunction isArray(value) {\n  return !Array.isArray\n    ? getTag(value) === '[object Array]'\n    : Array.isArray(value)\n}\n\n// Adapted from: https://github.com/lodash/lodash/blob/master/.internal/baseToString.js\nconst INFINITY = 1 / 0;\nfunction baseToString(value) {\n  // Exit early for strings to avoid a performance hit in some environments.\n  if (typeof value == 'string') {\n    return value\n  }\n  let result = value + '';\n  return result == '0' && 1 / value == -INFINITY ? '-0' : result\n}\n\nfunction toString(value) {\n  return value == null ? '' : baseToString(value)\n}\n\nfunction isString(value) {\n  return typeof value === 'string'\n}\n\nfunction isNumber(value) {\n  return typeof value === 'number'\n}\n\n// Adapted from: https://github.com/lodash/lodash/blob/master/isBoolean.js\nfunction isBoolean(value) {\n  return (\n    value === true ||\n    value === false ||\n    (isObjectLike(value) && getTag(value) == '[object Boolean]')\n  )\n}\n\nfunction isObject(value) {\n  return typeof value === 'object'\n}\n\n// Checks if `value` is object-like.\nfunction isObjectLike(value) {\n  return isObject(value) && value !== null\n}\n\nfunction isDefined(value) {\n  return value !== undefined && value !== null\n}\n\nfunction isBlank(value) {\n  return !value.trim().length\n}\n\n// Gets the `toStringTag` of `value`.\n// Adapted from: https://github.com/lodash/lodash/blob/master/.internal/getTag.js\nfunction getTag(value) {\n  return value == null\n    ? value === undefined\n      ? '[object Undefined]'\n      : '[object Null]'\n    : Object.prototype.toString.call(value)\n}\n\nconst EXTENDED_SEARCH_UNAVAILABLE = 'Extended search is not available';\n\nconst INCORRECT_INDEX_TYPE = \"Incorrect 'index' type\";\n\nconst LOGICAL_SEARCH_INVALID_QUERY_FOR_KEY = (key) =>\n  `Invalid value for key ${key}`;\n\nconst PATTERN_LENGTH_TOO_LARGE = (max) =>\n  `Pattern length exceeds max of ${max}.`;\n\nconst MISSING_KEY_PROPERTY = (name) => `Missing ${name} property in key`;\n\nconst INVALID_KEY_WEIGHT_VALUE = (key) =>\n  `Property 'weight' in key '${key}' must be a positive integer`;\n\nconst hasOwn = Object.prototype.hasOwnProperty;\n\nclass KeyStore {\n  constructor(keys) {\n    this._keys = [];\n    this._keyMap = {};\n\n    let totalWeight = 0;\n\n    keys.forEach((key) => {\n      let obj = createKey(key);\n\n      this._keys.push(obj);\n      this._keyMap[obj.id] = obj;\n\n      totalWeight += obj.weight;\n    });\n\n    // Normalize weights so that their sum is equal to 1\n    this._keys.forEach((key) => {\n      key.weight /= totalWeight;\n    });\n  }\n  get(keyId) {\n    return this._keyMap[keyId]\n  }\n  keys() {\n    return this._keys\n  }\n  toJSON() {\n    return JSON.stringify(this._keys)\n  }\n}\n\nfunction createKey(key) {\n  let path = null;\n  let id = null;\n  let src = null;\n  let weight = 1;\n  let getFn = null;\n\n  if (isString(key) || isArray(key)) {\n    src = key;\n    path = createKeyPath(key);\n    id = createKeyId(key);\n  } else {\n    if (!hasOwn.call(key, 'name')) {\n      throw new Error(MISSING_KEY_PROPERTY('name'))\n    }\n\n    const name = key.name;\n    src = name;\n\n    if (hasOwn.call(key, 'weight')) {\n      weight = key.weight;\n\n      if (weight <= 0) {\n        throw new Error(INVALID_KEY_WEIGHT_VALUE(name))\n      }\n    }\n\n    path = createKeyPath(name);\n    id = createKeyId(name);\n    getFn = key.getFn;\n  }\n\n  return { path, id, weight, src, getFn }\n}\n\nfunction createKeyPath(key) {\n  return isArray(key) ? key : key.split('.')\n}\n\nfunction createKeyId(key) {\n  return isArray(key) ? key.join('.') : key\n}\n\nfunction get(obj, path) {\n  let list = [];\n  let arr = false;\n\n  const deepGet = (obj, path, index) => {\n    if (!isDefined(obj)) {\n      return\n    }\n    if (!path[index]) {\n      // If there's no path left, we've arrived at the object we care about.\n      list.push(obj);\n    } else {\n      let key = path[index];\n\n      const value = obj[key];\n\n      if (!isDefined(value)) {\n        return\n      }\n\n      // If we're at the last value in the path, and if it's a string/number/bool,\n      // add it to the list\n      if (\n        index === path.length - 1 &&\n        (isString(value) || isNumber(value) || isBoolean(value))\n      ) {\n        list.push(toString(value));\n      } else if (isArray(value)) {\n        arr = true;\n        // Search each item in the array.\n        for (let i = 0, len = value.length; i < len; i += 1) {\n          deepGet(value[i], path, index + 1);\n        }\n      } else if (path.length) {\n        // An object. Recurse further.\n        deepGet(value, path, index + 1);\n      }\n    }\n  };\n\n  // Backwards compatibility (since path used to be a string)\n  deepGet(obj, isString(path) ? path.split('.') : path, 0);\n\n  return arr ? list : list[0]\n}\n\nconst MatchOptions = {\n  // Whether the matches should be included in the result set. When `true`, each record in the result\n  // set will include the indices of the matched characters.\n  // These can consequently be used for highlighting purposes.\n  includeMatches: false,\n  // When `true`, the matching function will continue to the end of a search pattern even if\n  // a perfect match has already been located in the string.\n  findAllMatches: false,\n  // Minimum number of characters that must be matched before a result is considered a match\n  minMatchCharLength: 1\n};\n\nconst BasicOptions = {\n  // When `true`, the algorithm continues searching to the end of the input even if a perfect\n  // match is found before the end of the same input.\n  isCaseSensitive: false,\n  // When true, the matching function will continue to the end of a search pattern even if\n  includeScore: false,\n  // List of properties that will be searched. This also supports nested properties.\n  keys: [],\n  // Whether to sort the result list, by score\n  shouldSort: true,\n  // Default sort function: sort by ascending score, ascending index\n  sortFn: (a, b) =>\n    a.score === b.score ? (a.idx < b.idx ? -1 : 1) : a.score < b.score ? -1 : 1\n};\n\nconst FuzzyOptions = {\n  // Approximately where in the text is the pattern expected to be found?\n  location: 0,\n  // At what point does the match algorithm give up. A threshold of '0.0' requires a perfect match\n  // (of both letters and location), a threshold of '1.0' would match anything.\n  threshold: 0.6,\n  // Determines how close the match must be to the fuzzy location (specified above).\n  // An exact letter match which is 'distance' characters away from the fuzzy location\n  // would score as a complete mismatch. A distance of '0' requires the match be at\n  // the exact location specified, a threshold of '1000' would require a perfect match\n  // to be within 800 characters of the fuzzy location to be found using a 0.8 threshold.\n  distance: 100\n};\n\nconst AdvancedOptions = {\n  // When `true`, it enables the use of unix-like search commands\n  useExtendedSearch: false,\n  // The get function to use when fetching an object's properties.\n  // The default will search nested paths *ie foo.bar.baz*\n  getFn: get,\n  // When `true`, search will ignore `location` and `distance`, so it won't matter\n  // where in the string the pattern appears.\n  // More info: https://fusejs.io/concepts/scoring-theory.html#fuzziness-score\n  ignoreLocation: false,\n  // When `true`, the calculation for the relevance score (used for sorting) will\n  // ignore the field-length norm.\n  // More info: https://fusejs.io/concepts/scoring-theory.html#field-length-norm\n  ignoreFieldNorm: false,\n  // The weight to determine how much field length norm effects scoring.\n  fieldNormWeight: 1\n};\n\nvar Config = {\n  ...BasicOptions,\n  ...MatchOptions,\n  ...FuzzyOptions,\n  ...AdvancedOptions\n};\n\nconst SPACE = /[^ ]+/g;\n\n// Field-length norm: the shorter the field, the higher the weight.\n// Set to 3 decimals to reduce index size.\nfunction norm(weight = 1, mantissa = 3) {\n  const cache = new Map();\n  const m = Math.pow(10, mantissa);\n\n  return {\n    get(value) {\n      const numTokens = value.match(SPACE).length;\n\n      if (cache.has(numTokens)) {\n        return cache.get(numTokens)\n      }\n\n      // Default function is 1/sqrt(x), weight makes that variable\n      const norm = 1 / Math.pow(numTokens, 0.5 * weight);\n\n      // In place of `toFixed(mantissa)`, for faster computation\n      const n = parseFloat(Math.round(norm * m) / m);\n\n      cache.set(numTokens, n);\n\n      return n\n    },\n    clear() {\n      cache.clear();\n    }\n  }\n}\n\nclass FuseIndex {\n  constructor({\n    getFn = Config.getFn,\n    fieldNormWeight = Config.fieldNormWeight\n  } = {}) {\n    this.norm = norm(fieldNormWeight, 3);\n    this.getFn = getFn;\n    this.isCreated = false;\n\n    this.setIndexRecords();\n  }\n  setSources(docs = []) {\n    this.docs = docs;\n  }\n  setIndexRecords(records = []) {\n    this.records = records;\n  }\n  setKeys(keys = []) {\n    this.keys = keys;\n    this._keysMap = {};\n    keys.forEach((key, idx) => {\n      this._keysMap[key.id] = idx;\n    });\n  }\n  create() {\n    if (this.isCreated || !this.docs.length) {\n      return\n    }\n\n    this.isCreated = true;\n\n    // List is Array<String>\n    if (isString(this.docs[0])) {\n      this.docs.forEach((doc, docIndex) => {\n        this._addString(doc, docIndex);\n      });\n    } else {\n      // List is Array<Object>\n      this.docs.forEach((doc, docIndex) => {\n        this._addObject(doc, docIndex);\n      });\n    }\n\n    this.norm.clear();\n  }\n  // Adds a doc to the end of the index\n  add(doc) {\n    const idx = this.size();\n\n    if (isString(doc)) {\n      this._addString(doc, idx);\n    } else {\n      this._addObject(doc, idx);\n    }\n  }\n  // Removes the doc at the specified index of the index\n  removeAt(idx) {\n    this.records.splice(idx, 1);\n\n    // Change ref index of every subsquent doc\n    for (let i = idx, len = this.size(); i < len; i += 1) {\n      this.records[i].i -= 1;\n    }\n  }\n  getValueForItemAtKeyId(item, keyId) {\n    return item[this._keysMap[keyId]]\n  }\n  size() {\n    return this.records.length\n  }\n  _addString(doc, docIndex) {\n    if (!isDefined(doc) || isBlank(doc)) {\n      return\n    }\n\n    let record = {\n      v: doc,\n      i: docIndex,\n      n: this.norm.get(doc)\n    };\n\n    this.records.push(record);\n  }\n  _addObject(doc, docIndex) {\n    let record = { i: docIndex, $: {} };\n\n    // Iterate over every key (i.e, path), and fetch the value at that key\n    this.keys.forEach((key, keyIndex) => {\n      let value = key.getFn ? key.getFn(doc) : this.getFn(doc, key.path);\n\n      if (!isDefined(value)) {\n        return\n      }\n\n      if (isArray(value)) {\n        let subRecords = [];\n        const stack = [{ nestedArrIndex: -1, value }];\n\n        while (stack.length) {\n          const { nestedArrIndex, value } = stack.pop();\n\n          if (!isDefined(value)) {\n            continue\n          }\n\n          if (isString(value) && !isBlank(value)) {\n            let subRecord = {\n              v: value,\n              i: nestedArrIndex,\n              n: this.norm.get(value)\n            };\n\n            subRecords.push(subRecord);\n          } else if (isArray(value)) {\n            value.forEach((item, k) => {\n              stack.push({\n                nestedArrIndex: k,\n                value: item\n              });\n            });\n          } else ;\n        }\n        record.$[keyIndex] = subRecords;\n      } else if (isString(value) && !isBlank(value)) {\n        let subRecord = {\n          v: value,\n          n: this.norm.get(value)\n        };\n\n        record.$[keyIndex] = subRecord;\n      }\n    });\n\n    this.records.push(record);\n  }\n  toJSON() {\n    return {\n      keys: this.keys,\n      records: this.records\n    }\n  }\n}\n\nfunction createIndex(\n  keys,\n  docs,\n  { getFn = Config.getFn, fieldNormWeight = Config.fieldNormWeight } = {}\n) {\n  const myIndex = new FuseIndex({ getFn, fieldNormWeight });\n  myIndex.setKeys(keys.map(createKey));\n  myIndex.setSources(docs);\n  myIndex.create();\n  return myIndex\n}\n\nfunction parseIndex(\n  data,\n  { getFn = Config.getFn, fieldNormWeight = Config.fieldNormWeight } = {}\n) {\n  const { keys, records } = data;\n  const myIndex = new FuseIndex({ getFn, fieldNormWeight });\n  myIndex.setKeys(keys);\n  myIndex.setIndexRecords(records);\n  return myIndex\n}\n\nfunction computeScore$1(\n  pattern,\n  {\n    errors = 0,\n    currentLocation = 0,\n    expectedLocation = 0,\n    distance = Config.distance,\n    ignoreLocation = Config.ignoreLocation\n  } = {}\n) {\n  const accuracy = errors / pattern.length;\n\n  if (ignoreLocation) {\n    return accuracy\n  }\n\n  const proximity = Math.abs(expectedLocation - currentLocation);\n\n  if (!distance) {\n    // Dodge divide by zero error.\n    return proximity ? 1.0 : accuracy\n  }\n\n  return accuracy + proximity / distance\n}\n\nfunction convertMaskToIndices(\n  matchmask = [],\n  minMatchCharLength = Config.minMatchCharLength\n) {\n  let indices = [];\n  let start = -1;\n  let end = -1;\n  let i = 0;\n\n  for (let len = matchmask.length; i < len; i += 1) {\n    let match = matchmask[i];\n    if (match && start === -1) {\n      start = i;\n    } else if (!match && start !== -1) {\n      end = i - 1;\n      if (end - start + 1 >= minMatchCharLength) {\n        indices.push([start, end]);\n      }\n      start = -1;\n    }\n  }\n\n  // (i-1 - start) + 1 => i - start\n  if (matchmask[i - 1] && i - start >= minMatchCharLength) {\n    indices.push([start, i - 1]);\n  }\n\n  return indices\n}\n\n// Machine word size\nconst MAX_BITS = 32;\n\nfunction search(\n  text,\n  pattern,\n  patternAlphabet,\n  {\n    location = Config.location,\n    distance = Config.distance,\n    threshold = Config.threshold,\n    findAllMatches = Config.findAllMatches,\n    minMatchCharLength = Config.minMatchCharLength,\n    includeMatches = Config.includeMatches,\n    ignoreLocation = Config.ignoreLocation\n  } = {}\n) {\n  if (pattern.length > MAX_BITS) {\n    throw new Error(PATTERN_LENGTH_TOO_LARGE(MAX_BITS))\n  }\n\n  const patternLen = pattern.length;\n  // Set starting location at beginning text and initialize the alphabet.\n  const textLen = text.length;\n  // Handle the case when location > text.length\n  const expectedLocation = Math.max(0, Math.min(location, textLen));\n  // Highest score beyond which we give up.\n  let currentThreshold = threshold;\n  // Is there a nearby exact match? (speedup)\n  let bestLocation = expectedLocation;\n\n  // Performance: only computer matches when the minMatchCharLength > 1\n  // OR if `includeMatches` is true.\n  const computeMatches = minMatchCharLength > 1 || includeMatches;\n  // A mask of the matches, used for building the indices\n  const matchMask = computeMatches ? Array(textLen) : [];\n\n  let index;\n\n  // Get all exact matches, here for speed up\n  while ((index = text.indexOf(pattern, bestLocation)) > -1) {\n    let score = computeScore$1(pattern, {\n      currentLocation: index,\n      expectedLocation,\n      distance,\n      ignoreLocation\n    });\n\n    currentThreshold = Math.min(score, currentThreshold);\n    bestLocation = index + patternLen;\n\n    if (computeMatches) {\n      let i = 0;\n      while (i < patternLen) {\n        matchMask[index + i] = 1;\n        i += 1;\n      }\n    }\n  }\n\n  // Reset the best location\n  bestLocation = -1;\n\n  let lastBitArr = [];\n  let finalScore = 1;\n  let binMax = patternLen + textLen;\n\n  const mask = 1 << (patternLen - 1);\n\n  for (let i = 0; i < patternLen; i += 1) {\n    // Scan for the best match; each iteration allows for one more error.\n    // Run a binary search to determine how far from the match location we can stray\n    // at this error level.\n    let binMin = 0;\n    let binMid = binMax;\n\n    while (binMin < binMid) {\n      const score = computeScore$1(pattern, {\n        errors: i,\n        currentLocation: expectedLocation + binMid,\n        expectedLocation,\n        distance,\n        ignoreLocation\n      });\n\n      if (score <= currentThreshold) {\n        binMin = binMid;\n      } else {\n        binMax = binMid;\n      }\n\n      binMid = Math.floor((binMax - binMin) / 2 + binMin);\n    }\n\n    // Use the result from this iteration as the maximum for the next.\n    binMax = binMid;\n\n    let start = Math.max(1, expectedLocation - binMid + 1);\n    let finish = findAllMatches\n      ? textLen\n      : Math.min(expectedLocation + binMid, textLen) + patternLen;\n\n    // Initialize the bit array\n    let bitArr = Array(finish + 2);\n\n    bitArr[finish + 1] = (1 << i) - 1;\n\n    for (let j = finish; j >= start; j -= 1) {\n      let currentLocation = j - 1;\n      let charMatch = patternAlphabet[text.charAt(currentLocation)];\n\n      if (computeMatches) {\n        // Speed up: quick bool to int conversion (i.e, `charMatch ? 1 : 0`)\n        matchMask[currentLocation] = +!!charMatch;\n      }\n\n      // First pass: exact match\n      bitArr[j] = ((bitArr[j + 1] << 1) | 1) & charMatch;\n\n      // Subsequent passes: fuzzy match\n      if (i) {\n        bitArr[j] |=\n          ((lastBitArr[j + 1] | lastBitArr[j]) << 1) | 1 | lastBitArr[j + 1];\n      }\n\n      if (bitArr[j] & mask) {\n        finalScore = computeScore$1(pattern, {\n          errors: i,\n          currentLocation,\n          expectedLocation,\n          distance,\n          ignoreLocation\n        });\n\n        // This match will almost certainly be better than any existing match.\n        // But check anyway.\n        if (finalScore <= currentThreshold) {\n          // Indeed it is\n          currentThreshold = finalScore;\n          bestLocation = currentLocation;\n\n          // Already passed `loc`, downhill from here on in.\n          if (bestLocation <= expectedLocation) {\n            break\n          }\n\n          // When passing `bestLocation`, don't exceed our current distance from `expectedLocation`.\n          start = Math.max(1, 2 * expectedLocation - bestLocation);\n        }\n      }\n    }\n\n    // No hope for a (better) match at greater error levels.\n    const score = computeScore$1(pattern, {\n      errors: i + 1,\n      currentLocation: expectedLocation,\n      expectedLocation,\n      distance,\n      ignoreLocation\n    });\n\n    if (score > currentThreshold) {\n      break\n    }\n\n    lastBitArr = bitArr;\n  }\n\n  const result = {\n    isMatch: bestLocation >= 0,\n    // Count exact matches (those with a score of 0) to be \"almost\" exact\n    score: Math.max(0.001, finalScore)\n  };\n\n  if (computeMatches) {\n    const indices = convertMaskToIndices(matchMask, minMatchCharLength);\n    if (!indices.length) {\n      result.isMatch = false;\n    } else if (includeMatches) {\n      result.indices = indices;\n    }\n  }\n\n  return result\n}\n\nfunction createPatternAlphabet(pattern) {\n  let mask = {};\n\n  for (let i = 0, len = pattern.length; i < len; i += 1) {\n    const char = pattern.charAt(i);\n    mask[char] = (mask[char] || 0) | (1 << (len - i - 1));\n  }\n\n  return mask\n}\n\nclass BitapSearch {\n  constructor(\n    pattern,\n    {\n      location = Config.location,\n      threshold = Config.threshold,\n      distance = Config.distance,\n      includeMatches = Config.includeMatches,\n      findAllMatches = Config.findAllMatches,\n      minMatchCharLength = Config.minMatchCharLength,\n      isCaseSensitive = Config.isCaseSensitive,\n      ignoreLocation = Config.ignoreLocation\n    } = {}\n  ) {\n    this.options = {\n      location,\n      threshold,\n      distance,\n      includeMatches,\n      findAllMatches,\n      minMatchCharLength,\n      isCaseSensitive,\n      ignoreLocation\n    };\n\n    this.pattern = isCaseSensitive ? pattern : pattern.toLowerCase();\n\n    this.chunks = [];\n\n    if (!this.pattern.length) {\n      return\n    }\n\n    const addChunk = (pattern, startIndex) => {\n      this.chunks.push({\n        pattern,\n        alphabet: createPatternAlphabet(pattern),\n        startIndex\n      });\n    };\n\n    const len = this.pattern.length;\n\n    if (len > MAX_BITS) {\n      let i = 0;\n      const remainder = len % MAX_BITS;\n      const end = len - remainder;\n\n      while (i < end) {\n        addChunk(this.pattern.substr(i, MAX_BITS), i);\n        i += MAX_BITS;\n      }\n\n      if (remainder) {\n        const startIndex = len - MAX_BITS;\n        addChunk(this.pattern.substr(startIndex), startIndex);\n      }\n    } else {\n      addChunk(this.pattern, 0);\n    }\n  }\n\n  searchIn(text) {\n    const { isCaseSensitive, includeMatches } = this.options;\n\n    if (!isCaseSensitive) {\n      text = text.toLowerCase();\n    }\n\n    // Exact match\n    if (this.pattern === text) {\n      let result = {\n        isMatch: true,\n        score: 0\n      };\n\n      if (includeMatches) {\n        result.indices = [[0, text.length - 1]];\n      }\n\n      return result\n    }\n\n    // Otherwise, use Bitap algorithm\n    const {\n      location,\n      distance,\n      threshold,\n      findAllMatches,\n      minMatchCharLength,\n      ignoreLocation\n    } = this.options;\n\n    let allIndices = [];\n    let totalScore = 0;\n    let hasMatches = false;\n\n    this.chunks.forEach(({ pattern, alphabet, startIndex }) => {\n      const { isMatch, score, indices } = search(text, pattern, alphabet, {\n        location: location + startIndex,\n        distance,\n        threshold,\n        findAllMatches,\n        minMatchCharLength,\n        includeMatches,\n        ignoreLocation\n      });\n\n      if (isMatch) {\n        hasMatches = true;\n      }\n\n      totalScore += score;\n\n      if (isMatch && indices) {\n        allIndices = [...allIndices, ...indices];\n      }\n    });\n\n    let result = {\n      isMatch: hasMatches,\n      score: hasMatches ? totalScore / this.chunks.length : 1\n    };\n\n    if (hasMatches && includeMatches) {\n      result.indices = allIndices;\n    }\n\n    return result\n  }\n}\n\nclass BaseMatch {\n  constructor(pattern) {\n    this.pattern = pattern;\n  }\n  static isMultiMatch(pattern) {\n    return getMatch(pattern, this.multiRegex)\n  }\n  static isSingleMatch(pattern) {\n    return getMatch(pattern, this.singleRegex)\n  }\n  search(/*text*/) {}\n}\n\nfunction getMatch(pattern, exp) {\n  const matches = pattern.match(exp);\n  return matches ? matches[1] : null\n}\n\n// Token: 'file\n\nclass ExactMatch extends BaseMatch {\n  constructor(pattern) {\n    super(pattern);\n  }\n  static get type() {\n    return 'exact'\n  }\n  static get multiRegex() {\n    return /^=\"(.*)\"$/\n  }\n  static get singleRegex() {\n    return /^=(.*)$/\n  }\n  search(text) {\n    const isMatch = text === this.pattern;\n\n    return {\n      isMatch,\n      score: isMatch ? 0 : 1,\n      indices: [0, this.pattern.length - 1]\n    }\n  }\n}\n\n// Token: !fire\n\nclass InverseExactMatch extends BaseMatch {\n  constructor(pattern) {\n    super(pattern);\n  }\n  static get type() {\n    return 'inverse-exact'\n  }\n  static get multiRegex() {\n    return /^!\"(.*)\"$/\n  }\n  static get singleRegex() {\n    return /^!(.*)$/\n  }\n  search(text) {\n    const index = text.indexOf(this.pattern);\n    const isMatch = index === -1;\n\n    return {\n      isMatch,\n      score: isMatch ? 0 : 1,\n      indices: [0, text.length - 1]\n    }\n  }\n}\n\n// Token: ^file\n\nclass PrefixExactMatch extends BaseMatch {\n  constructor(pattern) {\n    super(pattern);\n  }\n  static get type() {\n    return 'prefix-exact'\n  }\n  static get multiRegex() {\n    return /^\\^\"(.*)\"$/\n  }\n  static get singleRegex() {\n    return /^\\^(.*)$/\n  }\n  search(text) {\n    const isMatch = text.startsWith(this.pattern);\n\n    return {\n      isMatch,\n      score: isMatch ? 0 : 1,\n      indices: [0, this.pattern.length - 1]\n    }\n  }\n}\n\n// Token: !^fire\n\nclass InversePrefixExactMatch extends BaseMatch {\n  constructor(pattern) {\n    super(pattern);\n  }\n  static get type() {\n    return 'inverse-prefix-exact'\n  }\n  static get multiRegex() {\n    return /^!\\^\"(.*)\"$/\n  }\n  static get singleRegex() {\n    return /^!\\^(.*)$/\n  }\n  search(text) {\n    const isMatch = !text.startsWith(this.pattern);\n\n    return {\n      isMatch,\n      score: isMatch ? 0 : 1,\n      indices: [0, text.length - 1]\n    }\n  }\n}\n\n// Token: .file$\n\nclass SuffixExactMatch extends BaseMatch {\n  constructor(pattern) {\n    super(pattern);\n  }\n  static get type() {\n    return 'suffix-exact'\n  }\n  static get multiRegex() {\n    return /^\"(.*)\"\\$$/\n  }\n  static get singleRegex() {\n    return /^(.*)\\$$/\n  }\n  search(text) {\n    const isMatch = text.endsWith(this.pattern);\n\n    return {\n      isMatch,\n      score: isMatch ? 0 : 1,\n      indices: [text.length - this.pattern.length, text.length - 1]\n    }\n  }\n}\n\n// Token: !.file$\n\nclass InverseSuffixExactMatch extends BaseMatch {\n  constructor(pattern) {\n    super(pattern);\n  }\n  static get type() {\n    return 'inverse-suffix-exact'\n  }\n  static get multiRegex() {\n    return /^!\"(.*)\"\\$$/\n  }\n  static get singleRegex() {\n    return /^!(.*)\\$$/\n  }\n  search(text) {\n    const isMatch = !text.endsWith(this.pattern);\n    return {\n      isMatch,\n      score: isMatch ? 0 : 1,\n      indices: [0, text.length - 1]\n    }\n  }\n}\n\nclass FuzzyMatch extends BaseMatch {\n  constructor(\n    pattern,\n    {\n      location = Config.location,\n      threshold = Config.threshold,\n      distance = Config.distance,\n      includeMatches = Config.includeMatches,\n      findAllMatches = Config.findAllMatches,\n      minMatchCharLength = Config.minMatchCharLength,\n      isCaseSensitive = Config.isCaseSensitive,\n      ignoreLocation = Config.ignoreLocation\n    } = {}\n  ) {\n    super(pattern);\n    this._bitapSearch = new BitapSearch(pattern, {\n      location,\n      threshold,\n      distance,\n      includeMatches,\n      findAllMatches,\n      minMatchCharLength,\n      isCaseSensitive,\n      ignoreLocation\n    });\n  }\n  static get type() {\n    return 'fuzzy'\n  }\n  static get multiRegex() {\n    return /^\"(.*)\"$/\n  }\n  static get singleRegex() {\n    return /^(.*)$/\n  }\n  search(text) {\n    return this._bitapSearch.searchIn(text)\n  }\n}\n\n// Token: 'file\n\nclass IncludeMatch extends BaseMatch {\n  constructor(pattern) {\n    super(pattern);\n  }\n  static get type() {\n    return 'include'\n  }\n  static get multiRegex() {\n    return /^'\"(.*)\"$/\n  }\n  static get singleRegex() {\n    return /^'(.*)$/\n  }\n  search(text) {\n    let location = 0;\n    let index;\n\n    const indices = [];\n    const patternLen = this.pattern.length;\n\n    // Get all exact matches\n    while ((index = text.indexOf(this.pattern, location)) > -1) {\n      location = index + patternLen;\n      indices.push([index, location - 1]);\n    }\n\n    const isMatch = !!indices.length;\n\n    return {\n      isMatch,\n      score: isMatch ? 0 : 1,\n      indices\n    }\n  }\n}\n\n// ❗Order is important. DO NOT CHANGE.\nconst searchers = [\n  ExactMatch,\n  IncludeMatch,\n  PrefixExactMatch,\n  InversePrefixExactMatch,\n  InverseSuffixExactMatch,\n  SuffixExactMatch,\n  InverseExactMatch,\n  FuzzyMatch\n];\n\nconst searchersLen = searchers.length;\n\n// Regex to split by spaces, but keep anything in quotes together\nconst SPACE_RE = / +(?=(?:[^\\\"]*\\\"[^\\\"]*\\\")*[^\\\"]*$)/;\nconst OR_TOKEN = '|';\n\n// Return a 2D array representation of the query, for simpler parsing.\n// Example:\n// \"^core go$ | rb$ | py$ xy$\" => [[\"^core\", \"go$\"], [\"rb$\"], [\"py$\", \"xy$\"]]\nfunction parseQuery(pattern, options = {}) {\n  return pattern.split(OR_TOKEN).map((item) => {\n    let query = item\n      .trim()\n      .split(SPACE_RE)\n      .filter((item) => item && !!item.trim());\n\n    let results = [];\n    for (let i = 0, len = query.length; i < len; i += 1) {\n      const queryItem = query[i];\n\n      // 1. Handle multiple query match (i.e, once that are quoted, like `\"hello world\"`)\n      let found = false;\n      let idx = -1;\n      while (!found && ++idx < searchersLen) {\n        const searcher = searchers[idx];\n        let token = searcher.isMultiMatch(queryItem);\n        if (token) {\n          results.push(new searcher(token, options));\n          found = true;\n        }\n      }\n\n      if (found) {\n        continue\n      }\n\n      // 2. Handle single query matches (i.e, once that are *not* quoted)\n      idx = -1;\n      while (++idx < searchersLen) {\n        const searcher = searchers[idx];\n        let token = searcher.isSingleMatch(queryItem);\n        if (token) {\n          results.push(new searcher(token, options));\n          break\n        }\n      }\n    }\n\n    return results\n  })\n}\n\n// These extended matchers can return an array of matches, as opposed\n// to a singl match\nconst MultiMatchSet = new Set([FuzzyMatch.type, IncludeMatch.type]);\n\n/**\n * Command-like searching\n * ======================\n *\n * Given multiple search terms delimited by spaces.e.g. `^jscript .python$ ruby !java`,\n * search in a given text.\n *\n * Search syntax:\n *\n * | Token       | Match type                 | Description                            |\n * | ----------- | -------------------------- | -------------------------------------- |\n * | `jscript`   | fuzzy-match                | Items that fuzzy match `jscript`       |\n * | `=scheme`   | exact-match                | Items that are `scheme`                |\n * | `'python`   | include-match              | Items that include `python`            |\n * | `!ruby`     | inverse-exact-match        | Items that do not include `ruby`       |\n * | `^java`     | prefix-exact-match         | Items that start with `java`           |\n * | `!^earlang` | inverse-prefix-exact-match | Items that do not start with `earlang` |\n * | `.js$`      | suffix-exact-match         | Items that end with `.js`              |\n * | `!.go$`     | inverse-suffix-exact-match | Items that do not end with `.go`       |\n *\n * A single pipe character acts as an OR operator. For example, the following\n * query matches entries that start with `core` and end with either`go`, `rb`,\n * or`py`.\n *\n * ```\n * ^core go$ | rb$ | py$\n * ```\n */\nclass ExtendedSearch {\n  constructor(\n    pattern,\n    {\n      isCaseSensitive = Config.isCaseSensitive,\n      includeMatches = Config.includeMatches,\n      minMatchCharLength = Config.minMatchCharLength,\n      ignoreLocation = Config.ignoreLocation,\n      findAllMatches = Config.findAllMatches,\n      location = Config.location,\n      threshold = Config.threshold,\n      distance = Config.distance\n    } = {}\n  ) {\n    this.query = null;\n    this.options = {\n      isCaseSensitive,\n      includeMatches,\n      minMatchCharLength,\n      findAllMatches,\n      ignoreLocation,\n      location,\n      threshold,\n      distance\n    };\n\n    this.pattern = isCaseSensitive ? pattern : pattern.toLowerCase();\n    this.query = parseQuery(this.pattern, this.options);\n  }\n\n  static condition(_, options) {\n    return options.useExtendedSearch\n  }\n\n  searchIn(text) {\n    const query = this.query;\n\n    if (!query) {\n      return {\n        isMatch: false,\n        score: 1\n      }\n    }\n\n    const { includeMatches, isCaseSensitive } = this.options;\n\n    text = isCaseSensitive ? text : text.toLowerCase();\n\n    let numMatches = 0;\n    let allIndices = [];\n    let totalScore = 0;\n\n    // ORs\n    for (let i = 0, qLen = query.length; i < qLen; i += 1) {\n      const searchers = query[i];\n\n      // Reset indices\n      allIndices.length = 0;\n      numMatches = 0;\n\n      // ANDs\n      for (let j = 0, pLen = searchers.length; j < pLen; j += 1) {\n        const searcher = searchers[j];\n        const { isMatch, indices, score } = searcher.search(text);\n\n        if (isMatch) {\n          numMatches += 1;\n          totalScore += score;\n          if (includeMatches) {\n            const type = searcher.constructor.type;\n            if (MultiMatchSet.has(type)) {\n              allIndices = [...allIndices, ...indices];\n            } else {\n              allIndices.push(indices);\n            }\n          }\n        } else {\n          totalScore = 0;\n          numMatches = 0;\n          allIndices.length = 0;\n          break\n        }\n      }\n\n      // OR condition, so if TRUE, return\n      if (numMatches) {\n        let result = {\n          isMatch: true,\n          score: totalScore / numMatches\n        };\n\n        if (includeMatches) {\n          result.indices = allIndices;\n        }\n\n        return result\n      }\n    }\n\n    // Nothing was matched\n    return {\n      isMatch: false,\n      score: 1\n    }\n  }\n}\n\nconst registeredSearchers = [];\n\nfunction register(...args) {\n  registeredSearchers.push(...args);\n}\n\nfunction createSearcher(pattern, options) {\n  for (let i = 0, len = registeredSearchers.length; i < len; i += 1) {\n    let searcherClass = registeredSearchers[i];\n    if (searcherClass.condition(pattern, options)) {\n      return new searcherClass(pattern, options)\n    }\n  }\n\n  return new BitapSearch(pattern, options)\n}\n\nconst LogicalOperator = {\n  AND: '$and',\n  OR: '$or'\n};\n\nconst KeyType = {\n  PATH: '$path',\n  PATTERN: '$val'\n};\n\nconst isExpression = (query) =>\n  !!(query[LogicalOperator.AND] || query[LogicalOperator.OR]);\n\nconst isPath = (query) => !!query[KeyType.PATH];\n\nconst isLeaf = (query) =>\n  !isArray(query) && isObject(query) && !isExpression(query);\n\nconst convertToExplicit = (query) => ({\n  [LogicalOperator.AND]: Object.keys(query).map((key) => ({\n    [key]: query[key]\n  }))\n});\n\n// When `auto` is `true`, the parse function will infer and initialize and add\n// the appropriate `Searcher` instance\nfunction parse(query, options, { auto = true } = {}) {\n  const next = (query) => {\n    let keys = Object.keys(query);\n\n    const isQueryPath = isPath(query);\n\n    if (!isQueryPath && keys.length > 1 && !isExpression(query)) {\n      return next(convertToExplicit(query))\n    }\n\n    if (isLeaf(query)) {\n      const key = isQueryPath ? query[KeyType.PATH] : keys[0];\n\n      const pattern = isQueryPath ? query[KeyType.PATTERN] : query[key];\n\n      if (!isString(pattern)) {\n        throw new Error(LOGICAL_SEARCH_INVALID_QUERY_FOR_KEY(key))\n      }\n\n      const obj = {\n        keyId: createKeyId(key),\n        pattern\n      };\n\n      if (auto) {\n        obj.searcher = createSearcher(pattern, options);\n      }\n\n      return obj\n    }\n\n    let node = {\n      children: [],\n      operator: keys[0]\n    };\n\n    keys.forEach((key) => {\n      const value = query[key];\n\n      if (isArray(value)) {\n        value.forEach((item) => {\n          node.children.push(next(item));\n        });\n      }\n    });\n\n    return node\n  };\n\n  if (!isExpression(query)) {\n    query = convertToExplicit(query);\n  }\n\n  return next(query)\n}\n\n// Practical scoring function\nfunction computeScore(\n  results,\n  { ignoreFieldNorm = Config.ignoreFieldNorm }\n) {\n  results.forEach((result) => {\n    let totalScore = 1;\n\n    result.matches.forEach(({ key, norm, score }) => {\n      const weight = key ? key.weight : null;\n\n      totalScore *= Math.pow(\n        score === 0 && weight ? Number.EPSILON : score,\n        (weight || 1) * (ignoreFieldNorm ? 1 : norm)\n      );\n    });\n\n    result.score = totalScore;\n  });\n}\n\nfunction transformMatches(result, data) {\n  const matches = result.matches;\n  data.matches = [];\n\n  if (!isDefined(matches)) {\n    return\n  }\n\n  matches.forEach((match) => {\n    if (!isDefined(match.indices) || !match.indices.length) {\n      return\n    }\n\n    const { indices, value } = match;\n\n    let obj = {\n      indices,\n      value\n    };\n\n    if (match.key) {\n      obj.key = match.key.src;\n    }\n\n    if (match.idx > -1) {\n      obj.refIndex = match.idx;\n    }\n\n    data.matches.push(obj);\n  });\n}\n\nfunction transformScore(result, data) {\n  data.score = result.score;\n}\n\nfunction format(\n  results,\n  docs,\n  {\n    includeMatches = Config.includeMatches,\n    includeScore = Config.includeScore\n  } = {}\n) {\n  const transformers = [];\n\n  if (includeMatches) transformers.push(transformMatches);\n  if (includeScore) transformers.push(transformScore);\n\n  return results.map((result) => {\n    const { idx } = result;\n\n    const data = {\n      item: docs[idx],\n      refIndex: idx\n    };\n\n    if (transformers.length) {\n      transformers.forEach((transformer) => {\n        transformer(result, data);\n      });\n    }\n\n    return data\n  })\n}\n\nclass Fuse {\n  constructor(docs, options = {}, index) {\n    this.options = { ...Config, ...options };\n\n    if (\n      this.options.useExtendedSearch &&\n      !true\n    ) {\n      throw new Error(EXTENDED_SEARCH_UNAVAILABLE)\n    }\n\n    this._keyStore = new KeyStore(this.options.keys);\n\n    this.setCollection(docs, index);\n  }\n\n  setCollection(docs, index) {\n    this._docs = docs;\n\n    if (index && !(index instanceof FuseIndex)) {\n      throw new Error(INCORRECT_INDEX_TYPE)\n    }\n\n    this._myIndex =\n      index ||\n      createIndex(this.options.keys, this._docs, {\n        getFn: this.options.getFn,\n        fieldNormWeight: this.options.fieldNormWeight\n      });\n  }\n\n  add(doc) {\n    if (!isDefined(doc)) {\n      return\n    }\n\n    this._docs.push(doc);\n    this._myIndex.add(doc);\n  }\n\n  remove(predicate = (/* doc, idx */) => false) {\n    const results = [];\n\n    for (let i = 0, len = this._docs.length; i < len; i += 1) {\n      const doc = this._docs[i];\n      if (predicate(doc, i)) {\n        this.removeAt(i);\n        i -= 1;\n        len -= 1;\n\n        results.push(doc);\n      }\n    }\n\n    return results\n  }\n\n  removeAt(idx) {\n    this._docs.splice(idx, 1);\n    this._myIndex.removeAt(idx);\n  }\n\n  getIndex() {\n    return this._myIndex\n  }\n\n  search(query, { limit = -1 } = {}) {\n    const {\n      includeMatches,\n      includeScore,\n      shouldSort,\n      sortFn,\n      ignoreFieldNorm\n    } = this.options;\n\n    let results = isString(query)\n      ? isString(this._docs[0])\n        ? this._searchStringList(query)\n        : this._searchObjectList(query)\n      : this._searchLogical(query);\n\n    computeScore(results, { ignoreFieldNorm });\n\n    if (shouldSort) {\n      results.sort(sortFn);\n    }\n\n    if (isNumber(limit) && limit > -1) {\n      results = results.slice(0, limit);\n    }\n\n    return format(results, this._docs, {\n      includeMatches,\n      includeScore\n    })\n  }\n\n  _searchStringList(query) {\n    const searcher = createSearcher(query, this.options);\n    const { records } = this._myIndex;\n    const results = [];\n\n    // Iterate over every string in the index\n    records.forEach(({ v: text, i: idx, n: norm }) => {\n      if (!isDefined(text)) {\n        return\n      }\n\n      const { isMatch, score, indices } = searcher.searchIn(text);\n\n      if (isMatch) {\n        results.push({\n          item: text,\n          idx,\n          matches: [{ score, value: text, norm, indices }]\n        });\n      }\n    });\n\n    return results\n  }\n\n  _searchLogical(query) {\n\n    const expression = parse(query, this.options);\n\n    const evaluate = (node, item, idx) => {\n      if (!node.children) {\n        const { keyId, searcher } = node;\n\n        const matches = this._findMatches({\n          key: this._keyStore.get(keyId),\n          value: this._myIndex.getValueForItemAtKeyId(item, keyId),\n          searcher\n        });\n\n        if (matches && matches.length) {\n          return [\n            {\n              idx,\n              item,\n              matches\n            }\n          ]\n        }\n\n        return []\n      }\n\n      const res = [];\n      for (let i = 0, len = node.children.length; i < len; i += 1) {\n        const child = node.children[i];\n        const result = evaluate(child, item, idx);\n        if (result.length) {\n          res.push(...result);\n        } else if (node.operator === LogicalOperator.AND) {\n          return []\n        }\n      }\n      return res\n    };\n\n    const records = this._myIndex.records;\n    const resultMap = {};\n    const results = [];\n\n    records.forEach(({ $: item, i: idx }) => {\n      if (isDefined(item)) {\n        let expResults = evaluate(expression, item, idx);\n\n        if (expResults.length) {\n          // Dedupe when adding\n          if (!resultMap[idx]) {\n            resultMap[idx] = { idx, item, matches: [] };\n            results.push(resultMap[idx]);\n          }\n          expResults.forEach(({ matches }) => {\n            resultMap[idx].matches.push(...matches);\n          });\n        }\n      }\n    });\n\n    return results\n  }\n\n  _searchObjectList(query) {\n    const searcher = createSearcher(query, this.options);\n    const { keys, records } = this._myIndex;\n    const results = [];\n\n    // List is Array<Object>\n    records.forEach(({ $: item, i: idx }) => {\n      if (!isDefined(item)) {\n        return\n      }\n\n      let matches = [];\n\n      // Iterate over every key (i.e, path), and fetch the value at that key\n      keys.forEach((key, keyIndex) => {\n        matches.push(\n          ...this._findMatches({\n            key,\n            value: item[keyIndex],\n            searcher\n          })\n        );\n      });\n\n      if (matches.length) {\n        results.push({\n          idx,\n          item,\n          matches\n        });\n      }\n    });\n\n    return results\n  }\n  _findMatches({ key, value, searcher }) {\n    if (!isDefined(value)) {\n      return []\n    }\n\n    let matches = [];\n\n    if (isArray(value)) {\n      value.forEach(({ v: text, i: idx, n: norm }) => {\n        if (!isDefined(text)) {\n          return\n        }\n\n        const { isMatch, score, indices } = searcher.searchIn(text);\n\n        if (isMatch) {\n          matches.push({\n            score,\n            key,\n            value: text,\n            idx,\n            norm,\n            indices\n          });\n        }\n      });\n    } else {\n      const { v: text, n: norm } = value;\n\n      const { isMatch, score, indices } = searcher.searchIn(text);\n\n      if (isMatch) {\n        matches.push({ score, key, value: text, norm, indices });\n      }\n    }\n\n    return matches\n  }\n}\n\nFuse.version = '7.0.0';\nFuse.createIndex = createIndex;\nFuse.parseIndex = parseIndex;\nFuse.config = Config;\n\n{\n  Fuse.parseQuery = parse;\n}\n\n{\n  register(ExtendedSearch);\n}\n\nexport { Fuse as default };\n","import { ComfyNodeDefImpl } from '@/stores/nodeDefStore'\nimport { getNodeSource } from '@/types/nodeSource'\nimport Fuse, { IFuseOptions, FuseSearchOptions } from 'fuse.js'\nimport _ from 'lodash'\n\ntype SearchAuxScore = [number, number, number, number]\n\ninterface ExtraSearchOptions {\n  matchWildcards?: boolean\n}\n\nexport class FuseSearch<T> {\n  private fuse: Fuse<T>\n  private readonly keys: string[]\n  public readonly data: T[]\n  public readonly advancedScoring: boolean\n\n  constructor(\n    data: T[],\n    options?: IFuseOptions<T>,\n    createIndex: boolean = true,\n    advancedScoring: boolean = false\n  ) {\n    this.data = data\n    this.keys = (options.keys ?? []) as string[]\n    this.advancedScoring = advancedScoring\n    const index =\n      createIndex && options?.keys\n        ? Fuse.createIndex(options.keys, data)\n        : undefined\n    this.fuse = new Fuse(data, options, index)\n  }\n\n  public search(query: string, options?: FuseSearchOptions): T[] {\n    if (!query || query === '') {\n      return [...this.data]\n    }\n\n    const fuseResult = this.fuse.search(query, options)\n    if (!this.advancedScoring) {\n      return fuseResult.map((x) => x.item)\n    }\n\n    const aux = fuseResult\n      .map((x) => ({\n        item: x.item,\n        scores: this.calcAuxScores(query.toLocaleLowerCase(), x.item, x.score)\n      }))\n      .sort((a, b) => this.compareAux(a.scores, b.scores))\n\n    return aux.map((x) => x.item)\n  }\n\n  public calcAuxScores(query: string, entry: T, score: number) {\n    let values: string[] = []\n    if (!this.keys.length) values = [entry as string]\n    else values = this.keys.map((x) => entry[x])\n    const scores = values.map((x) => this.calcAuxSingle(query, x, score))\n    const result = scores.sort(this.compareAux)[0]\n\n    const deprecated = values.some((x) =>\n      x.toLocaleLowerCase().includes('deprecated')\n    )\n    result[0] += deprecated && result[0] != 0 ? 5 : 0\n    return result\n  }\n\n  public calcAuxSingle(\n    query: string,\n    item: string,\n    score: number\n  ): SearchAuxScore {\n    const itemWords = item\n      .split(/ |\\b|(?<=[a-z])(?=[A-Z])|(?=[A-Z][a-z])/)\n      .map((x) => x.toLocaleLowerCase())\n    const queryParts = query.split(' ')\n    item = item.toLocaleLowerCase()\n\n    let main = 9\n    let aux1 = 0\n    let aux2 = 0\n\n    if (item == query) {\n      main = 0\n    } else if (item.startsWith(query)) {\n      main = 1\n      aux2 = item.length\n    } else if (itemWords.includes(query)) {\n      main = 2\n      aux1 = item.indexOf(query) + item.length * 0.5\n      aux2 = item.length\n    } else if (item.includes(query)) {\n      main = 3\n      aux1 = item.indexOf(query) + item.length * 0.5\n      aux2 = item.length\n    } else if (queryParts.every((x) => itemWords.includes(x))) {\n      const indexes = queryParts.map((x) => itemWords.indexOf(x))\n      const min = Math.min(...indexes)\n      const max = Math.max(...indexes)\n      main = 4\n      aux1 = max - min + max * 0.5 + item.length * 0.5\n      aux2 = item.length\n    } else if (queryParts.every((x) => item.includes(x))) {\n      const min = Math.min(...queryParts.map((x) => item.indexOf(x)))\n      const max = Math.max(...queryParts.map((x) => item.indexOf(x) + x.length))\n      main = 5\n      aux1 = max - min + max * 0.5 + item.length * 0.5\n      aux2 = item.length\n    }\n\n    const lengthPenalty =\n      0.2 *\n      (1 -\n        Math.min(item.length, query.length) /\n          Math.max(item.length, query.length))\n    return [main, aux1, aux2, score + lengthPenalty]\n  }\n\n  public compareAux(a: SearchAuxScore, b: SearchAuxScore) {\n    return a[0] - b[0] || a[1] - b[1] || a[2] - b[2] || a[3] - b[3]\n  }\n}\n\nexport type FilterAndValue<T = string> = [NodeFilter<T>, T]\n\nexport abstract class NodeFilter<FilterOptionT = string> {\n  public abstract readonly id: string\n  public abstract readonly name: string\n  public abstract readonly invokeSequence: string\n  public abstract readonly longInvokeSequence: string\n  public readonly fuseSearch: FuseSearch<FilterOptionT>\n\n  constructor(\n    nodeDefs: ComfyNodeDefImpl[],\n    options?: IFuseOptions<FilterOptionT>\n  ) {\n    this.fuseSearch = new FuseSearch(this.getAllNodeOptions(nodeDefs), options)\n  }\n\n  private getAllNodeOptions(nodeDefs: ComfyNodeDefImpl[]): FilterOptionT[] {\n    return [\n      ...new Set(\n        nodeDefs.reduce((acc, nodeDef) => {\n          return [...acc, ...this.getNodeOptions(nodeDef)]\n        }, [])\n      )\n    ]\n  }\n\n  public abstract getNodeOptions(node: ComfyNodeDefImpl): FilterOptionT[]\n\n  public matches(\n    node: ComfyNodeDefImpl,\n    value: FilterOptionT,\n    extraOptions?: ExtraSearchOptions\n  ): boolean {\n    const matchWildcards = extraOptions?.matchWildcards !== false\n    if (matchWildcards && value === '*') {\n      return true\n    }\n    const options = this.getNodeOptions(node)\n    return (\n      options.includes(value) ||\n      (matchWildcards && _.some(options, (option) => option === '*'))\n    )\n  }\n}\n\nexport class InputTypeFilter extends NodeFilter<string> {\n  public readonly id: string = 'input'\n  public readonly name = 'Input Type'\n  public readonly invokeSequence = 'i'\n  public readonly longInvokeSequence = 'input'\n\n  public override getNodeOptions(node: ComfyNodeDefImpl): string[] {\n    return node.input.all.map((input) => input.type)\n  }\n}\n\nexport class OutputTypeFilter extends NodeFilter<string> {\n  public readonly id: string = 'output'\n  public readonly name = 'Output Type'\n  public readonly invokeSequence = 'o'\n  public readonly longInvokeSequence = 'output'\n\n  public override getNodeOptions(node: ComfyNodeDefImpl): string[] {\n    return node.output.all.map((output) => output.type)\n  }\n}\n\nexport class NodeSourceFilter extends NodeFilter<string> {\n  public readonly id: string = 'source'\n  public readonly name = 'Source'\n  public readonly invokeSequence = 's'\n  public readonly longInvokeSequence = 'source'\n\n  public override getNodeOptions(node: ComfyNodeDefImpl): string[] {\n    return [getNodeSource(node.python_module).displayText]\n  }\n}\n\nexport class NodeCategoryFilter extends NodeFilter<string> {\n  public readonly id: string = 'category'\n  public readonly name = 'Category'\n  public readonly invokeSequence = 'c'\n  public readonly longInvokeSequence = 'category'\n\n  public override getNodeOptions(node: ComfyNodeDefImpl): string[] {\n    return [node.category]\n  }\n}\n\nexport class NodeSearchService {\n  public readonly nodeFuseSearch: FuseSearch<ComfyNodeDefImpl>\n  public readonly nodeFilters: NodeFilter<string>[]\n\n  constructor(data: ComfyNodeDefImpl[]) {\n    this.nodeFuseSearch = new FuseSearch(\n      data,\n      {\n        keys: ['name', 'display_name'],\n        includeScore: true,\n        threshold: 0.3,\n        shouldSort: false,\n        useExtendedSearch: true\n      },\n      true,\n      true\n    )\n\n    const filterSearchOptions = {\n      includeScore: true,\n      threshold: 0.3,\n      shouldSort: true\n    }\n\n    this.nodeFilters = [\n      new InputTypeFilter(data, filterSearchOptions),\n      new OutputTypeFilter(data, filterSearchOptions),\n      new NodeCategoryFilter(data, filterSearchOptions)\n    ]\n\n    if (data[0].python_module !== undefined) {\n      this.nodeFilters.push(new NodeSourceFilter(data, filterSearchOptions))\n    }\n  }\n\n  public endsWithFilterStartSequence(query: string): boolean {\n    return query.endsWith(':')\n  }\n\n  public searchNode(\n    query: string,\n    filters: FilterAndValue<string>[] = [],\n    options?: FuseSearchOptions,\n    extraOptions?: ExtraSearchOptions\n  ): ComfyNodeDefImpl[] {\n    const matchedNodes = this.nodeFuseSearch.search(query)\n\n    const results = matchedNodes.filter((node) => {\n      return _.every(filters, (filterAndValue) => {\n        const [filter, value] = filterAndValue\n        return filter.matches(node, value, extraOptions)\n      })\n    })\n\n    return options?.limit ? results.slice(0, options.limit) : results\n  }\n\n  public getFilterById(id: string): NodeFilter<string> | undefined {\n    return this.nodeFilters.find((filter) => filter.id === id)\n  }\n}\n","export var TransformationType;\n(function (TransformationType) {\n    TransformationType[TransformationType[\"PLAIN_TO_CLASS\"] = 0] = \"PLAIN_TO_CLASS\";\n    TransformationType[TransformationType[\"CLASS_TO_PLAIN\"] = 1] = \"CLASS_TO_PLAIN\";\n    TransformationType[TransformationType[\"CLASS_TO_CLASS\"] = 2] = \"CLASS_TO_CLASS\";\n})(TransformationType || (TransformationType = {}));\n//# sourceMappingURL=transformation-type.enum.js.map","import { TransformationType } from './enums';\n/**\n * Storage all library metadata.\n */\nvar MetadataStorage = /** @class */ (function () {\n    function MetadataStorage() {\n        // -------------------------------------------------------------------------\n        // Properties\n        // -------------------------------------------------------------------------\n        this._typeMetadatas = new Map();\n        this._transformMetadatas = new Map();\n        this._exposeMetadatas = new Map();\n        this._excludeMetadatas = new Map();\n        this._ancestorsMap = new Map();\n    }\n    // -------------------------------------------------------------------------\n    // Adder Methods\n    // -------------------------------------------------------------------------\n    MetadataStorage.prototype.addTypeMetadata = function (metadata) {\n        if (!this._typeMetadatas.has(metadata.target)) {\n            this._typeMetadatas.set(metadata.target, new Map());\n        }\n        this._typeMetadatas.get(metadata.target).set(metadata.propertyName, metadata);\n    };\n    MetadataStorage.prototype.addTransformMetadata = function (metadata) {\n        if (!this._transformMetadatas.has(metadata.target)) {\n            this._transformMetadatas.set(metadata.target, new Map());\n        }\n        if (!this._transformMetadatas.get(metadata.target).has(metadata.propertyName)) {\n            this._transformMetadatas.get(metadata.target).set(metadata.propertyName, []);\n        }\n        this._transformMetadatas.get(metadata.target).get(metadata.propertyName).push(metadata);\n    };\n    MetadataStorage.prototype.addExposeMetadata = function (metadata) {\n        if (!this._exposeMetadatas.has(metadata.target)) {\n            this._exposeMetadatas.set(metadata.target, new Map());\n        }\n        this._exposeMetadatas.get(metadata.target).set(metadata.propertyName, metadata);\n    };\n    MetadataStorage.prototype.addExcludeMetadata = function (metadata) {\n        if (!this._excludeMetadatas.has(metadata.target)) {\n            this._excludeMetadatas.set(metadata.target, new Map());\n        }\n        this._excludeMetadatas.get(metadata.target).set(metadata.propertyName, metadata);\n    };\n    // -------------------------------------------------------------------------\n    // Public Methods\n    // -------------------------------------------------------------------------\n    MetadataStorage.prototype.findTransformMetadatas = function (target, propertyName, transformationType) {\n        return this.findMetadatas(this._transformMetadatas, target, propertyName).filter(function (metadata) {\n            if (!metadata.options)\n                return true;\n            if (metadata.options.toClassOnly === true && metadata.options.toPlainOnly === true)\n                return true;\n            if (metadata.options.toClassOnly === true) {\n                return (transformationType === TransformationType.CLASS_TO_CLASS ||\n                    transformationType === TransformationType.PLAIN_TO_CLASS);\n            }\n            if (metadata.options.toPlainOnly === true) {\n                return transformationType === TransformationType.CLASS_TO_PLAIN;\n            }\n            return true;\n        });\n    };\n    MetadataStorage.prototype.findExcludeMetadata = function (target, propertyName) {\n        return this.findMetadata(this._excludeMetadatas, target, propertyName);\n    };\n    MetadataStorage.prototype.findExposeMetadata = function (target, propertyName) {\n        return this.findMetadata(this._exposeMetadatas, target, propertyName);\n    };\n    MetadataStorage.prototype.findExposeMetadataByCustomName = function (target, name) {\n        return this.getExposedMetadatas(target).find(function (metadata) {\n            return metadata.options && metadata.options.name === name;\n        });\n    };\n    MetadataStorage.prototype.findTypeMetadata = function (target, propertyName) {\n        return this.findMetadata(this._typeMetadatas, target, propertyName);\n    };\n    MetadataStorage.prototype.getStrategy = function (target) {\n        var excludeMap = this._excludeMetadatas.get(target);\n        var exclude = excludeMap && excludeMap.get(undefined);\n        var exposeMap = this._exposeMetadatas.get(target);\n        var expose = exposeMap && exposeMap.get(undefined);\n        if ((exclude && expose) || (!exclude && !expose))\n            return 'none';\n        return exclude ? 'excludeAll' : 'exposeAll';\n    };\n    MetadataStorage.prototype.getExposedMetadatas = function (target) {\n        return this.getMetadata(this._exposeMetadatas, target);\n    };\n    MetadataStorage.prototype.getExcludedMetadatas = function (target) {\n        return this.getMetadata(this._excludeMetadatas, target);\n    };\n    MetadataStorage.prototype.getExposedProperties = function (target, transformationType) {\n        return this.getExposedMetadatas(target)\n            .filter(function (metadata) {\n            if (!metadata.options)\n                return true;\n            if (metadata.options.toClassOnly === true && metadata.options.toPlainOnly === true)\n                return true;\n            if (metadata.options.toClassOnly === true) {\n                return (transformationType === TransformationType.CLASS_TO_CLASS ||\n                    transformationType === TransformationType.PLAIN_TO_CLASS);\n            }\n            if (metadata.options.toPlainOnly === true) {\n                return transformationType === TransformationType.CLASS_TO_PLAIN;\n            }\n            return true;\n        })\n            .map(function (metadata) { return metadata.propertyName; });\n    };\n    MetadataStorage.prototype.getExcludedProperties = function (target, transformationType) {\n        return this.getExcludedMetadatas(target)\n            .filter(function (metadata) {\n            if (!metadata.options)\n                return true;\n            if (metadata.options.toClassOnly === true && metadata.options.toPlainOnly === true)\n                return true;\n            if (metadata.options.toClassOnly === true) {\n                return (transformationType === TransformationType.CLASS_TO_CLASS ||\n                    transformationType === TransformationType.PLAIN_TO_CLASS);\n            }\n            if (metadata.options.toPlainOnly === true) {\n                return transformationType === TransformationType.CLASS_TO_PLAIN;\n            }\n            return true;\n        })\n            .map(function (metadata) { return metadata.propertyName; });\n    };\n    MetadataStorage.prototype.clear = function () {\n        this._typeMetadatas.clear();\n        this._exposeMetadatas.clear();\n        this._excludeMetadatas.clear();\n        this._ancestorsMap.clear();\n    };\n    // -------------------------------------------------------------------------\n    // Private Methods\n    // -------------------------------------------------------------------------\n    MetadataStorage.prototype.getMetadata = function (metadatas, target) {\n        var metadataFromTargetMap = metadatas.get(target);\n        var metadataFromTarget;\n        if (metadataFromTargetMap) {\n            metadataFromTarget = Array.from(metadataFromTargetMap.values()).filter(function (meta) { return meta.propertyName !== undefined; });\n        }\n        var metadataFromAncestors = [];\n        for (var _i = 0, _a = this.getAncestors(target); _i < _a.length; _i++) {\n            var ancestor = _a[_i];\n            var ancestorMetadataMap = metadatas.get(ancestor);\n            if (ancestorMetadataMap) {\n                var metadataFromAncestor = Array.from(ancestorMetadataMap.values()).filter(function (meta) { return meta.propertyName !== undefined; });\n                metadataFromAncestors.push.apply(metadataFromAncestors, metadataFromAncestor);\n            }\n        }\n        return metadataFromAncestors.concat(metadataFromTarget || []);\n    };\n    MetadataStorage.prototype.findMetadata = function (metadatas, target, propertyName) {\n        var metadataFromTargetMap = metadatas.get(target);\n        if (metadataFromTargetMap) {\n            var metadataFromTarget = metadataFromTargetMap.get(propertyName);\n            if (metadataFromTarget) {\n                return metadataFromTarget;\n            }\n        }\n        for (var _i = 0, _a = this.getAncestors(target); _i < _a.length; _i++) {\n            var ancestor = _a[_i];\n            var ancestorMetadataMap = metadatas.get(ancestor);\n            if (ancestorMetadataMap) {\n                var ancestorResult = ancestorMetadataMap.get(propertyName);\n                if (ancestorResult) {\n                    return ancestorResult;\n                }\n            }\n        }\n        return undefined;\n    };\n    MetadataStorage.prototype.findMetadatas = function (metadatas, target, propertyName) {\n        var metadataFromTargetMap = metadatas.get(target);\n        var metadataFromTarget;\n        if (metadataFromTargetMap) {\n            metadataFromTarget = metadataFromTargetMap.get(propertyName);\n        }\n        var metadataFromAncestorsTarget = [];\n        for (var _i = 0, _a = this.getAncestors(target); _i < _a.length; _i++) {\n            var ancestor = _a[_i];\n            var ancestorMetadataMap = metadatas.get(ancestor);\n            if (ancestorMetadataMap) {\n                if (ancestorMetadataMap.has(propertyName)) {\n                    metadataFromAncestorsTarget.push.apply(metadataFromAncestorsTarget, ancestorMetadataMap.get(propertyName));\n                }\n            }\n        }\n        return metadataFromAncestorsTarget\n            .slice()\n            .reverse()\n            .concat((metadataFromTarget || []).slice().reverse());\n    };\n    MetadataStorage.prototype.getAncestors = function (target) {\n        if (!target)\n            return [];\n        if (!this._ancestorsMap.has(target)) {\n            var ancestors = [];\n            for (var baseClass = Object.getPrototypeOf(target.prototype.constructor); typeof baseClass.prototype !== 'undefined'; baseClass = Object.getPrototypeOf(baseClass.prototype.constructor)) {\n                ancestors.push(baseClass);\n            }\n            this._ancestorsMap.set(target, ancestors);\n        }\n        return this._ancestorsMap.get(target);\n    };\n    return MetadataStorage;\n}());\nexport { MetadataStorage };\n//# sourceMappingURL=MetadataStorage.js.map","import { MetadataStorage } from './MetadataStorage';\n/**\n * Default metadata storage is used as singleton and can be used to storage all metadatas.\n */\nexport var defaultMetadataStorage = new MetadataStorage();\n//# sourceMappingURL=storage.js.map","/**\n * This function returns the global object across Node and browsers.\n *\n * Note: `globalThis` is the standardized approach however it has been added to\n * Node.js in version 12. We need to include this snippet until Node 12 EOL.\n */\nexport function getGlobal() {\n    if (typeof globalThis !== 'undefined') {\n        return globalThis;\n    }\n    if (typeof global !== 'undefined') {\n        return global;\n    }\n    // eslint-disable-next-line @typescript-eslint/ban-ts-comment\n    // @ts-ignore: Cannot find name 'window'.\n    if (typeof window !== 'undefined') {\n        // eslint-disable-next-line @typescript-eslint/ban-ts-comment\n        // @ts-ignore: Cannot find name 'window'.\n        return window;\n    }\n    // eslint-disable-next-line @typescript-eslint/ban-ts-comment\n    // @ts-ignore: Cannot find name 'self'.\n    if (typeof self !== 'undefined') {\n        // eslint-disable-next-line @typescript-eslint/ban-ts-comment\n        // @ts-ignore: Cannot find name 'self'.\n        return self;\n    }\n}\n//# sourceMappingURL=get-global.util.js.map","export function isPromise(p) {\n    return p !== null && typeof p === 'object' && typeof p.then === 'function';\n}\n//# sourceMappingURL=is-promise.util.js.map","var __spreadArray = (this && this.__spreadArray) || function (to, from, pack) {\n    if (pack || arguments.length === 2) for (var i = 0, l = from.length, ar; i < l; i++) {\n        if (ar || !(i in from)) {\n            if (!ar) ar = Array.prototype.slice.call(from, 0, i);\n            ar[i] = from[i];\n        }\n    }\n    return to.concat(ar || Array.prototype.slice.call(from));\n};\nimport { defaultMetadataStorage } from './storage';\nimport { TransformationType } from './enums';\nimport { getGlobal, isPromise } from './utils';\nfunction instantiateArrayType(arrayType) {\n    var array = new arrayType();\n    if (!(array instanceof Set) && !('push' in array)) {\n        return [];\n    }\n    return array;\n}\nvar TransformOperationExecutor = /** @class */ (function () {\n    // -------------------------------------------------------------------------\n    // Constructor\n    // -------------------------------------------------------------------------\n    function TransformOperationExecutor(transformationType, options) {\n        this.transformationType = transformationType;\n        this.options = options;\n        // -------------------------------------------------------------------------\n        // Private Properties\n        // -------------------------------------------------------------------------\n        this.recursionStack = new Set();\n    }\n    // -------------------------------------------------------------------------\n    // Public Methods\n    // -------------------------------------------------------------------------\n    TransformOperationExecutor.prototype.transform = function (source, value, targetType, arrayType, isMap, level) {\n        var _this = this;\n        if (level === void 0) { level = 0; }\n        if (Array.isArray(value) || value instanceof Set) {\n            var newValue_1 = arrayType && this.transformationType === TransformationType.PLAIN_TO_CLASS\n                ? instantiateArrayType(arrayType)\n                : [];\n            value.forEach(function (subValue, index) {\n                var subSource = source ? source[index] : undefined;\n                if (!_this.options.enableCircularCheck || !_this.isCircular(subValue)) {\n                    var realTargetType = void 0;\n                    if (typeof targetType !== 'function' &&\n                        targetType &&\n                        targetType.options &&\n                        targetType.options.discriminator &&\n                        targetType.options.discriminator.property &&\n                        targetType.options.discriminator.subTypes) {\n                        if (_this.transformationType === TransformationType.PLAIN_TO_CLASS) {\n                            realTargetType = targetType.options.discriminator.subTypes.find(function (subType) {\n                                return subType.name === subValue[targetType.options.discriminator.property];\n                            });\n                            var options = { newObject: newValue_1, object: subValue, property: undefined };\n                            var newType = targetType.typeFunction(options);\n                            realTargetType === undefined ? (realTargetType = newType) : (realTargetType = realTargetType.value);\n                            if (!targetType.options.keepDiscriminatorProperty)\n                                delete subValue[targetType.options.discriminator.property];\n                        }\n                        if (_this.transformationType === TransformationType.CLASS_TO_CLASS) {\n                            realTargetType = subValue.constructor;\n                        }\n                        if (_this.transformationType === TransformationType.CLASS_TO_PLAIN) {\n                            subValue[targetType.options.discriminator.property] = targetType.options.discriminator.subTypes.find(function (subType) { return subType.value === subValue.constructor; }).name;\n                        }\n                    }\n                    else {\n                        realTargetType = targetType;\n                    }\n                    var value_1 = _this.transform(subSource, subValue, realTargetType, undefined, subValue instanceof Map, level + 1);\n                    if (newValue_1 instanceof Set) {\n                        newValue_1.add(value_1);\n                    }\n                    else {\n                        newValue_1.push(value_1);\n                    }\n                }\n                else if (_this.transformationType === TransformationType.CLASS_TO_CLASS) {\n                    if (newValue_1 instanceof Set) {\n                        newValue_1.add(subValue);\n                    }\n                    else {\n                        newValue_1.push(subValue);\n                    }\n                }\n            });\n            return newValue_1;\n        }\n        else if (targetType === String && !isMap) {\n            if (value === null || value === undefined)\n                return value;\n            return String(value);\n        }\n        else if (targetType === Number && !isMap) {\n            if (value === null || value === undefined)\n                return value;\n            return Number(value);\n        }\n        else if (targetType === Boolean && !isMap) {\n            if (value === null || value === undefined)\n                return value;\n            return Boolean(value);\n        }\n        else if ((targetType === Date || value instanceof Date) && !isMap) {\n            if (value instanceof Date) {\n                return new Date(value.valueOf());\n            }\n            if (value === null || value === undefined)\n                return value;\n            return new Date(value);\n        }\n        else if (!!getGlobal().Buffer && (targetType === Buffer || value instanceof Buffer) && !isMap) {\n            if (value === null || value === undefined)\n                return value;\n            return Buffer.from(value);\n        }\n        else if (isPromise(value) && !isMap) {\n            return new Promise(function (resolve, reject) {\n                value.then(function (data) { return resolve(_this.transform(undefined, data, targetType, undefined, undefined, level + 1)); }, reject);\n            });\n        }\n        else if (!isMap && value !== null && typeof value === 'object' && typeof value.then === 'function') {\n            // Note: We should not enter this, as promise has been handled above\n            // This option simply returns the Promise preventing a JS error from happening and should be an inaccessible path.\n            return value; // skip promise transformation\n        }\n        else if (typeof value === 'object' && value !== null) {\n            // try to guess the type\n            if (!targetType && value.constructor !== Object /* && TransformationType === TransformationType.CLASS_TO_PLAIN*/)\n                if (!Array.isArray(value) && value.constructor === Array) {\n                    // Somebody attempts to convert special Array like object to Array, eg:\n                    // const evilObject = { '100000000': '100000000', __proto__: [] };\n                    // This could be used to cause Denial-of-service attack so we don't allow it.\n                    // See prevent-array-bomb.spec.ts for more details.\n                }\n                else {\n                    // We are good we can use the built-in constructor\n                    targetType = value.constructor;\n                }\n            if (!targetType && source)\n                targetType = source.constructor;\n            if (this.options.enableCircularCheck) {\n                // add transformed type to prevent circular references\n                this.recursionStack.add(value);\n            }\n            var keys = this.getKeys(targetType, value, isMap);\n            var newValue = source ? source : {};\n            if (!source &&\n                (this.transformationType === TransformationType.PLAIN_TO_CLASS ||\n                    this.transformationType === TransformationType.CLASS_TO_CLASS)) {\n                if (isMap) {\n                    newValue = new Map();\n                }\n                else if (targetType) {\n                    newValue = new targetType();\n                }\n                else {\n                    newValue = {};\n                }\n            }\n            var _loop_1 = function (key) {\n                if (key === '__proto__' || key === 'constructor') {\n                    return \"continue\";\n                }\n                var valueKey = key;\n                var newValueKey = key, propertyName = key;\n                if (!this_1.options.ignoreDecorators && targetType) {\n                    if (this_1.transformationType === TransformationType.PLAIN_TO_CLASS) {\n                        var exposeMetadata = defaultMetadataStorage.findExposeMetadataByCustomName(targetType, key);\n                        if (exposeMetadata) {\n                            propertyName = exposeMetadata.propertyName;\n                            newValueKey = exposeMetadata.propertyName;\n                        }\n                    }\n                    else if (this_1.transformationType === TransformationType.CLASS_TO_PLAIN ||\n                        this_1.transformationType === TransformationType.CLASS_TO_CLASS) {\n                        var exposeMetadata = defaultMetadataStorage.findExposeMetadata(targetType, key);\n                        if (exposeMetadata && exposeMetadata.options && exposeMetadata.options.name) {\n                            newValueKey = exposeMetadata.options.name;\n                        }\n                    }\n                }\n                // get a subvalue\n                var subValue = undefined;\n                if (this_1.transformationType === TransformationType.PLAIN_TO_CLASS) {\n                    /**\n                     * This section is added for the following report:\n                     * https://github.com/typestack/class-transformer/issues/596\n                     *\n                     * We should not call functions or constructors when transforming to class.\n                     */\n                    subValue = value[valueKey];\n                }\n                else {\n                    if (value instanceof Map) {\n                        subValue = value.get(valueKey);\n                    }\n                    else if (value[valueKey] instanceof Function) {\n                        subValue = value[valueKey]();\n                    }\n                    else {\n                        subValue = value[valueKey];\n                    }\n                }\n                // determine a type\n                var type = undefined, isSubValueMap = subValue instanceof Map;\n                if (targetType && isMap) {\n                    type = targetType;\n                }\n                else if (targetType) {\n                    var metadata_1 = defaultMetadataStorage.findTypeMetadata(targetType, propertyName);\n                    if (metadata_1) {\n                        var options = { newObject: newValue, object: value, property: propertyName };\n                        var newType = metadata_1.typeFunction ? metadata_1.typeFunction(options) : metadata_1.reflectedType;\n                        if (metadata_1.options &&\n                            metadata_1.options.discriminator &&\n                            metadata_1.options.discriminator.property &&\n                            metadata_1.options.discriminator.subTypes) {\n                            if (!(value[valueKey] instanceof Array)) {\n                                if (this_1.transformationType === TransformationType.PLAIN_TO_CLASS) {\n                                    type = metadata_1.options.discriminator.subTypes.find(function (subType) {\n                                        if (subValue && subValue instanceof Object && metadata_1.options.discriminator.property in subValue) {\n                                            return subType.name === subValue[metadata_1.options.discriminator.property];\n                                        }\n                                    });\n                                    type === undefined ? (type = newType) : (type = type.value);\n                                    if (!metadata_1.options.keepDiscriminatorProperty) {\n                                        if (subValue && subValue instanceof Object && metadata_1.options.discriminator.property in subValue) {\n                                            delete subValue[metadata_1.options.discriminator.property];\n                                        }\n                                    }\n                                }\n                                if (this_1.transformationType === TransformationType.CLASS_TO_CLASS) {\n                                    type = subValue.constructor;\n                                }\n                                if (this_1.transformationType === TransformationType.CLASS_TO_PLAIN) {\n                                    if (subValue) {\n                                        subValue[metadata_1.options.discriminator.property] = metadata_1.options.discriminator.subTypes.find(function (subType) { return subType.value === subValue.constructor; }).name;\n                                    }\n                                }\n                            }\n                            else {\n                                type = metadata_1;\n                            }\n                        }\n                        else {\n                            type = newType;\n                        }\n                        isSubValueMap = isSubValueMap || metadata_1.reflectedType === Map;\n                    }\n                    else if (this_1.options.targetMaps) {\n                        // try to find a type in target maps\n                        this_1.options.targetMaps\n                            .filter(function (map) { return map.target === targetType && !!map.properties[propertyName]; })\n                            .forEach(function (map) { return (type = map.properties[propertyName]); });\n                    }\n                    else if (this_1.options.enableImplicitConversion &&\n                        this_1.transformationType === TransformationType.PLAIN_TO_CLASS) {\n                        // if we have no registererd type via the @Type() decorator then we check if we have any\n                        // type declarations in reflect-metadata (type declaration is emited only if some decorator is added to the property.)\n                        var reflectedType = Reflect.getMetadata('design:type', targetType.prototype, propertyName);\n                        if (reflectedType) {\n                            type = reflectedType;\n                        }\n                    }\n                }\n                // if value is an array try to get its custom array type\n                var arrayType_1 = Array.isArray(value[valueKey])\n                    ? this_1.getReflectedType(targetType, propertyName)\n                    : undefined;\n                // const subValueKey = TransformationType === TransformationType.PLAIN_TO_CLASS && newKeyName ? newKeyName : key;\n                var subSource = source ? source[valueKey] : undefined;\n                // if its deserialization then type if required\n                // if we uncomment this types like string[] will not work\n                // if (this.transformationType === TransformationType.PLAIN_TO_CLASS && !type && subValue instanceof Object && !(subValue instanceof Date))\n                //     throw new Error(`Cannot determine type for ${(targetType as any).name }.${propertyName}, did you forget to specify a @Type?`);\n                // if newValue is a source object that has method that match newKeyName then skip it\n                if (newValue.constructor.prototype) {\n                    var descriptor = Object.getOwnPropertyDescriptor(newValue.constructor.prototype, newValueKey);\n                    if ((this_1.transformationType === TransformationType.PLAIN_TO_CLASS ||\n                        this_1.transformationType === TransformationType.CLASS_TO_CLASS) &&\n                        // eslint-disable-next-line @typescript-eslint/unbound-method\n                        ((descriptor && !descriptor.set) || newValue[newValueKey] instanceof Function))\n                        return \"continue\";\n                }\n                if (!this_1.options.enableCircularCheck || !this_1.isCircular(subValue)) {\n                    var transformKey = this_1.transformationType === TransformationType.PLAIN_TO_CLASS ? newValueKey : key;\n                    var finalValue = void 0;\n                    if (this_1.transformationType === TransformationType.CLASS_TO_PLAIN) {\n                        // Get original value\n                        finalValue = value[transformKey];\n                        // Apply custom transformation\n                        finalValue = this_1.applyCustomTransformations(finalValue, targetType, transformKey, value, this_1.transformationType);\n                        // If nothing change, it means no custom transformation was applied, so use the subValue.\n                        finalValue = value[transformKey] === finalValue ? subValue : finalValue;\n                        // Apply the default transformation\n                        finalValue = this_1.transform(subSource, finalValue, type, arrayType_1, isSubValueMap, level + 1);\n                    }\n                    else {\n                        if (subValue === undefined && this_1.options.exposeDefaultValues) {\n                            // Set default value if nothing provided\n                            finalValue = newValue[newValueKey];\n                        }\n                        else {\n                            finalValue = this_1.transform(subSource, subValue, type, arrayType_1, isSubValueMap, level + 1);\n                            finalValue = this_1.applyCustomTransformations(finalValue, targetType, transformKey, value, this_1.transformationType);\n                        }\n                    }\n                    if (finalValue !== undefined || this_1.options.exposeUnsetFields) {\n                        if (newValue instanceof Map) {\n                            newValue.set(newValueKey, finalValue);\n                        }\n                        else {\n                            newValue[newValueKey] = finalValue;\n                        }\n                    }\n                }\n                else if (this_1.transformationType === TransformationType.CLASS_TO_CLASS) {\n                    var finalValue = subValue;\n                    finalValue = this_1.applyCustomTransformations(finalValue, targetType, key, value, this_1.transformationType);\n                    if (finalValue !== undefined || this_1.options.exposeUnsetFields) {\n                        if (newValue instanceof Map) {\n                            newValue.set(newValueKey, finalValue);\n                        }\n                        else {\n                            newValue[newValueKey] = finalValue;\n                        }\n                    }\n                }\n            };\n            var this_1 = this;\n            // traverse over keys\n            for (var _i = 0, keys_1 = keys; _i < keys_1.length; _i++) {\n                var key = keys_1[_i];\n                _loop_1(key);\n            }\n            if (this.options.enableCircularCheck) {\n                this.recursionStack.delete(value);\n            }\n            return newValue;\n        }\n        else {\n            return value;\n        }\n    };\n    TransformOperationExecutor.prototype.applyCustomTransformations = function (value, target, key, obj, transformationType) {\n        var _this = this;\n        var metadatas = defaultMetadataStorage.findTransformMetadatas(target, key, this.transformationType);\n        // apply versioning options\n        if (this.options.version !== undefined) {\n            metadatas = metadatas.filter(function (metadata) {\n                if (!metadata.options)\n                    return true;\n                return _this.checkVersion(metadata.options.since, metadata.options.until);\n            });\n        }\n        // apply grouping options\n        if (this.options.groups && this.options.groups.length) {\n            metadatas = metadatas.filter(function (metadata) {\n                if (!metadata.options)\n                    return true;\n                return _this.checkGroups(metadata.options.groups);\n            });\n        }\n        else {\n            metadatas = metadatas.filter(function (metadata) {\n                return !metadata.options || !metadata.options.groups || !metadata.options.groups.length;\n            });\n        }\n        metadatas.forEach(function (metadata) {\n            value = metadata.transformFn({ value: value, key: key, obj: obj, type: transformationType, options: _this.options });\n        });\n        return value;\n    };\n    // preventing circular references\n    TransformOperationExecutor.prototype.isCircular = function (object) {\n        return this.recursionStack.has(object);\n    };\n    TransformOperationExecutor.prototype.getReflectedType = function (target, propertyName) {\n        if (!target)\n            return undefined;\n        var meta = defaultMetadataStorage.findTypeMetadata(target, propertyName);\n        return meta ? meta.reflectedType : undefined;\n    };\n    TransformOperationExecutor.prototype.getKeys = function (target, object, isMap) {\n        var _this = this;\n        // determine exclusion strategy\n        var strategy = defaultMetadataStorage.getStrategy(target);\n        if (strategy === 'none')\n            strategy = this.options.strategy || 'exposeAll'; // exposeAll is default strategy\n        // get all keys that need to expose\n        var keys = [];\n        if (strategy === 'exposeAll' || isMap) {\n            if (object instanceof Map) {\n                keys = Array.from(object.keys());\n            }\n            else {\n                keys = Object.keys(object);\n            }\n        }\n        if (isMap) {\n            // expose & exclude do not apply for map keys only to fields\n            return keys;\n        }\n        /**\n         * If decorators are ignored but we don't want the extraneous values, then we use the\n         * metadata to decide which property is needed, but doesn't apply the decorator effect.\n         */\n        if (this.options.ignoreDecorators && this.options.excludeExtraneousValues && target) {\n            var exposedProperties = defaultMetadataStorage.getExposedProperties(target, this.transformationType);\n            var excludedProperties = defaultMetadataStorage.getExcludedProperties(target, this.transformationType);\n            keys = __spreadArray(__spreadArray([], exposedProperties, true), excludedProperties, true);\n        }\n        if (!this.options.ignoreDecorators && target) {\n            // add all exposed to list of keys\n            var exposedProperties = defaultMetadataStorage.getExposedProperties(target, this.transformationType);\n            if (this.transformationType === TransformationType.PLAIN_TO_CLASS) {\n                exposedProperties = exposedProperties.map(function (key) {\n                    var exposeMetadata = defaultMetadataStorage.findExposeMetadata(target, key);\n                    if (exposeMetadata && exposeMetadata.options && exposeMetadata.options.name) {\n                        return exposeMetadata.options.name;\n                    }\n                    return key;\n                });\n            }\n            if (this.options.excludeExtraneousValues) {\n                keys = exposedProperties;\n            }\n            else {\n                keys = keys.concat(exposedProperties);\n            }\n            // exclude excluded properties\n            var excludedProperties_1 = defaultMetadataStorage.getExcludedProperties(target, this.transformationType);\n            if (excludedProperties_1.length > 0) {\n                keys = keys.filter(function (key) {\n                    return !excludedProperties_1.includes(key);\n                });\n            }\n            // apply versioning options\n            if (this.options.version !== undefined) {\n                keys = keys.filter(function (key) {\n                    var exposeMetadata = defaultMetadataStorage.findExposeMetadata(target, key);\n                    if (!exposeMetadata || !exposeMetadata.options)\n                        return true;\n                    return _this.checkVersion(exposeMetadata.options.since, exposeMetadata.options.until);\n                });\n            }\n            // apply grouping options\n            if (this.options.groups && this.options.groups.length) {\n                keys = keys.filter(function (key) {\n                    var exposeMetadata = defaultMetadataStorage.findExposeMetadata(target, key);\n                    if (!exposeMetadata || !exposeMetadata.options)\n                        return true;\n                    return _this.checkGroups(exposeMetadata.options.groups);\n                });\n            }\n            else {\n                keys = keys.filter(function (key) {\n                    var exposeMetadata = defaultMetadataStorage.findExposeMetadata(target, key);\n                    return (!exposeMetadata ||\n                        !exposeMetadata.options ||\n                        !exposeMetadata.options.groups ||\n                        !exposeMetadata.options.groups.length);\n                });\n            }\n        }\n        // exclude prefixed properties\n        if (this.options.excludePrefixes && this.options.excludePrefixes.length) {\n            keys = keys.filter(function (key) {\n                return _this.options.excludePrefixes.every(function (prefix) {\n                    return key.substr(0, prefix.length) !== prefix;\n                });\n            });\n        }\n        // make sure we have unique keys\n        keys = keys.filter(function (key, index, self) {\n            return self.indexOf(key) === index;\n        });\n        return keys;\n    };\n    TransformOperationExecutor.prototype.checkVersion = function (since, until) {\n        var decision = true;\n        if (decision && since)\n            decision = this.options.version >= since;\n        if (decision && until)\n            decision = this.options.version < until;\n        return decision;\n    };\n    TransformOperationExecutor.prototype.checkGroups = function (groups) {\n        if (!groups)\n            return true;\n        return this.options.groups.some(function (optionGroup) { return groups.includes(optionGroup); });\n    };\n    return TransformOperationExecutor;\n}());\nexport { TransformOperationExecutor };\n//# sourceMappingURL=TransformOperationExecutor.js.map","/**\n * These are the default options used by any transformation operation.\n */\nexport var defaultOptions = {\n    enableCircularCheck: false,\n    enableImplicitConversion: false,\n    excludeExtraneousValues: false,\n    excludePrefixes: undefined,\n    exposeDefaultValues: false,\n    exposeUnsetFields: true,\n    groups: undefined,\n    ignoreDecorators: false,\n    strategy: undefined,\n    targetMaps: undefined,\n    version: undefined,\n};\n//# sourceMappingURL=default-options.constant.js.map","var __assign = (this && this.__assign) || function () {\n    __assign = Object.assign || function(t) {\n        for (var s, i = 1, n = arguments.length; i < n; i++) {\n            s = arguments[i];\n            for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p))\n                t[p] = s[p];\n        }\n        return t;\n    };\n    return __assign.apply(this, arguments);\n};\nimport { TransformOperationExecutor } from './TransformOperationExecutor';\nimport { TransformationType } from './enums';\nimport { defaultOptions } from './constants/default-options.constant';\nvar ClassTransformer = /** @class */ (function () {\n    function ClassTransformer() {\n    }\n    ClassTransformer.prototype.instanceToPlain = function (object, options) {\n        var executor = new TransformOperationExecutor(TransformationType.CLASS_TO_PLAIN, __assign(__assign({}, defaultOptions), options));\n        return executor.transform(undefined, object, undefined, undefined, undefined, undefined);\n    };\n    ClassTransformer.prototype.classToPlainFromExist = function (object, plainObject, options) {\n        var executor = new TransformOperationExecutor(TransformationType.CLASS_TO_PLAIN, __assign(__assign({}, defaultOptions), options));\n        return executor.transform(plainObject, object, undefined, undefined, undefined, undefined);\n    };\n    ClassTransformer.prototype.plainToInstance = function (cls, plain, options) {\n        var executor = new TransformOperationExecutor(TransformationType.PLAIN_TO_CLASS, __assign(__assign({}, defaultOptions), options));\n        return executor.transform(undefined, plain, cls, undefined, undefined, undefined);\n    };\n    ClassTransformer.prototype.plainToClassFromExist = function (clsObject, plain, options) {\n        var executor = new TransformOperationExecutor(TransformationType.PLAIN_TO_CLASS, __assign(__assign({}, defaultOptions), options));\n        return executor.transform(clsObject, plain, undefined, undefined, undefined, undefined);\n    };\n    ClassTransformer.prototype.instanceToInstance = function (object, options) {\n        var executor = new TransformOperationExecutor(TransformationType.CLASS_TO_CLASS, __assign(__assign({}, defaultOptions), options));\n        return executor.transform(undefined, object, undefined, undefined, undefined, undefined);\n    };\n    ClassTransformer.prototype.classToClassFromExist = function (object, fromObject, options) {\n        var executor = new TransformOperationExecutor(TransformationType.CLASS_TO_CLASS, __assign(__assign({}, defaultOptions), options));\n        return executor.transform(fromObject, object, undefined, undefined, undefined, undefined);\n    };\n    ClassTransformer.prototype.serialize = function (object, options) {\n        return JSON.stringify(this.instanceToPlain(object, options));\n    };\n    /**\n     * Deserializes given JSON string to a object of the given class.\n     */\n    ClassTransformer.prototype.deserialize = function (cls, json, options) {\n        var jsonObject = JSON.parse(json);\n        return this.plainToInstance(cls, jsonObject, options);\n    };\n    /**\n     * Deserializes given JSON string to an array of objects of the given class.\n     */\n    ClassTransformer.prototype.deserializeArray = function (cls, json, options) {\n        var jsonObject = JSON.parse(json);\n        return this.plainToInstance(cls, jsonObject, options);\n    };\n    return ClassTransformer;\n}());\nexport { ClassTransformer };\n//# sourceMappingURL=ClassTransformer.js.map","import { defaultMetadataStorage } from '../storage';\n/**\n * Marks the given class or property as excluded. By default the property is excluded in both\n * constructorToPlain and plainToConstructor transformations. It can be limited to only one direction\n * via using the `toPlainOnly` or `toClassOnly` option.\n *\n * Can be applied to class definitions and properties.\n */\nexport function Exclude(options) {\n    if (options === void 0) { options = {}; }\n    /**\n     * NOTE: The `propertyName` property must be marked as optional because\n     * this decorator used both as a class and a property decorator and the\n     * Typescript compiler will freak out if we make it mandatory as a class\n     * decorator only receives one parameter.\n     */\n    return function (object, propertyName) {\n        defaultMetadataStorage.addExcludeMetadata({\n            target: object instanceof Function ? object : object.constructor,\n            propertyName: propertyName,\n            options: options,\n        });\n    };\n}\n//# sourceMappingURL=exclude.decorator.js.map","import { defaultMetadataStorage } from '../storage';\n/**\n * Marks the given class or property as included. By default the property is included in both\n * constructorToPlain and plainToConstructor transformations. It can be limited to only one direction\n * via using the `toPlainOnly` or `toClassOnly` option.\n *\n * Can be applied to class definitions and properties.\n */\nexport function Expose(options) {\n    if (options === void 0) { options = {}; }\n    /**\n     * NOTE: The `propertyName` property must be marked as optional because\n     * this decorator used both as a class and a property decorator and the\n     * Typescript compiler will freak out if we make it mandatory as a class\n     * decorator only receives one parameter.\n     */\n    return function (object, propertyName) {\n        defaultMetadataStorage.addExposeMetadata({\n            target: object instanceof Function ? object : object.constructor,\n            propertyName: propertyName,\n            options: options,\n        });\n    };\n}\n//# sourceMappingURL=expose.decorator.js.map","import { ClassTransformer } from '../ClassTransformer';\n/**\n * Return the class instance only with the exposed properties.\n *\n * Can be applied to functions and getters/setters only.\n */\nexport function TransformInstanceToInstance(params) {\n    return function (target, propertyKey, descriptor) {\n        var classTransformer = new ClassTransformer();\n        var originalMethod = descriptor.value;\n        descriptor.value = function () {\n            var args = [];\n            for (var _i = 0; _i < arguments.length; _i++) {\n                args[_i] = arguments[_i];\n            }\n            var result = originalMethod.apply(this, args);\n            var isPromise = !!result && (typeof result === 'object' || typeof result === 'function') && typeof result.then === 'function';\n            return isPromise\n                ? result.then(function (data) { return classTransformer.instanceToInstance(data, params); })\n                : classTransformer.instanceToInstance(result, params);\n        };\n    };\n}\n//# sourceMappingURL=transform-instance-to-instance.decorator.js.map","import { ClassTransformer } from '../ClassTransformer';\n/**\n * Transform the object from class to plain object and return only with the exposed properties.\n *\n * Can be applied to functions and getters/setters only.\n */\nexport function TransformInstanceToPlain(params) {\n    return function (target, propertyKey, descriptor) {\n        var classTransformer = new ClassTransformer();\n        var originalMethod = descriptor.value;\n        descriptor.value = function () {\n            var args = [];\n            for (var _i = 0; _i < arguments.length; _i++) {\n                args[_i] = arguments[_i];\n            }\n            var result = originalMethod.apply(this, args);\n            var isPromise = !!result && (typeof result === 'object' || typeof result === 'function') && typeof result.then === 'function';\n            return isPromise\n                ? result.then(function (data) { return classTransformer.instanceToPlain(data, params); })\n                : classTransformer.instanceToPlain(result, params);\n        };\n    };\n}\n//# sourceMappingURL=transform-instance-to-plain.decorator.js.map","import { ClassTransformer } from '../ClassTransformer';\n/**\n * Return the class instance only with the exposed properties.\n *\n * Can be applied to functions and getters/setters only.\n */\nexport function TransformPlainToInstance(classType, params) {\n    return function (target, propertyKey, descriptor) {\n        var classTransformer = new ClassTransformer();\n        var originalMethod = descriptor.value;\n        descriptor.value = function () {\n            var args = [];\n            for (var _i = 0; _i < arguments.length; _i++) {\n                args[_i] = arguments[_i];\n            }\n            var result = originalMethod.apply(this, args);\n            var isPromise = !!result && (typeof result === 'object' || typeof result === 'function') && typeof result.then === 'function';\n            return isPromise\n                ? result.then(function (data) { return classTransformer.plainToInstance(classType, data, params); })\n                : classTransformer.plainToInstance(classType, result, params);\n        };\n    };\n}\n//# sourceMappingURL=transform-plain-to-instance.decorator.js.map","import { defaultMetadataStorage } from '../storage';\n/**\n * Defines a custom logic for value transformation.\n *\n * Can be applied to properties only.\n */\nexport function Transform(transformFn, options) {\n    if (options === void 0) { options = {}; }\n    return function (target, propertyName) {\n        defaultMetadataStorage.addTransformMetadata({\n            target: target.constructor,\n            propertyName: propertyName,\n            transformFn: transformFn,\n            options: options,\n        });\n    };\n}\n//# sourceMappingURL=transform.decorator.js.map","import { defaultMetadataStorage } from '../storage';\n/**\n * Specifies a type of the property.\n * The given TypeFunction can return a constructor. A discriminator can be given in the options.\n *\n * Can be applied to properties only.\n */\nexport function Type(typeFunction, options) {\n    if (options === void 0) { options = {}; }\n    return function (target, propertyName) {\n        var reflectedType = Reflect.getMetadata('design:type', target, propertyName);\n        defaultMetadataStorage.addTypeMetadata({\n            target: target.constructor,\n            propertyName: propertyName,\n            reflectedType: reflectedType,\n            typeFunction: typeFunction,\n            options: options,\n        });\n    };\n}\n//# sourceMappingURL=type.decorator.js.map","import { ClassTransformer } from './ClassTransformer';\nexport { ClassTransformer } from './ClassTransformer';\nexport * from './decorators';\nexport * from './interfaces';\nexport * from './enums';\nvar classTransformer = new ClassTransformer();\nexport function classToPlain(object, options) {\n    return classTransformer.instanceToPlain(object, options);\n}\nexport function instanceToPlain(object, options) {\n    return classTransformer.instanceToPlain(object, options);\n}\nexport function classToPlainFromExist(object, plainObject, options) {\n    return classTransformer.classToPlainFromExist(object, plainObject, options);\n}\nexport function plainToClass(cls, plain, options) {\n    return classTransformer.plainToInstance(cls, plain, options);\n}\nexport function plainToInstance(cls, plain, options) {\n    return classTransformer.plainToInstance(cls, plain, options);\n}\nexport function plainToClassFromExist(clsObject, plain, options) {\n    return classTransformer.plainToClassFromExist(clsObject, plain, options);\n}\nexport function instanceToInstance(object, options) {\n    return classTransformer.instanceToInstance(object, options);\n}\nexport function classToClassFromExist(object, fromObject, options) {\n    return classTransformer.classToClassFromExist(object, fromObject, options);\n}\nexport function serialize(object, options) {\n    return classTransformer.serialize(object, options);\n}\n/**\n * Deserializes given JSON string to a object of the given class.\n *\n * @deprecated This function is being removed. Please use the following instead:\n * ```\n * instanceToClass(cls, JSON.parse(json), options)\n * ```\n */\nexport function deserialize(cls, json, options) {\n    return classTransformer.deserialize(cls, json, options);\n}\n/**\n * Deserializes given JSON string to an array of objects of the given class.\n *\n * @deprecated This function is being removed. Please use the following instead:\n * ```\n * JSON.parse(json).map(value => instanceToClass(cls, value, options))\n * ```\n *\n */\nexport function deserializeArray(cls, json, options) {\n    return classTransformer.deserializeArray(cls, json, options);\n}\n//# sourceMappingURL=index.js.map","import { NodeSearchService } from '@/services/nodeSearchService'\nimport { ComfyNodeDef } from '@/types/apiTypes'\nimport { defineStore } from 'pinia'\nimport { Type, Transform, plainToClass, Expose } from 'class-transformer'\nimport { ComfyWidgetConstructor } from '@/scripts/widgets'\nimport { TreeNode } from 'primevue/treenode'\nimport { buildTree } from '@/utils/treeUtil'\n\nexport class BaseInputSpec<T = any> {\n  name: string\n  type: string\n  tooltip?: string\n  default?: T\n\n  @Type(() => Boolean)\n  forceInput?: boolean\n\n  static isInputSpec(obj: any): boolean {\n    return (\n      Array.isArray(obj) &&\n      obj.length >= 1 &&\n      (typeof obj[0] === 'string' || Array.isArray(obj[0]))\n    )\n  }\n}\n\nexport class NumericInputSpec extends BaseInputSpec<number> {\n  @Type(() => Number)\n  min?: number\n\n  @Type(() => Number)\n  max?: number\n\n  @Type(() => Number)\n  step?: number\n}\n\nexport class IntInputSpec extends NumericInputSpec {\n  type: 'INT' = 'INT'\n}\n\nexport class FloatInputSpec extends NumericInputSpec {\n  type: 'FLOAT' = 'FLOAT'\n\n  @Type(() => Number)\n  round?: number\n}\n\nexport class BooleanInputSpec extends BaseInputSpec<boolean> {\n  type: 'BOOLEAN' = 'BOOLEAN'\n\n  labelOn?: string\n  labelOff?: string\n}\n\nexport class StringInputSpec extends BaseInputSpec<string> {\n  type: 'STRING' = 'STRING'\n\n  @Type(() => Boolean)\n  multiline?: boolean\n\n  @Type(() => Boolean)\n  dynamicPrompts?: boolean\n}\n\nexport class ComboInputSpec extends BaseInputSpec<any> {\n  type: string = 'COMBO'\n\n  @Transform(({ value }) => value[0])\n  comboOptions: any[]\n\n  @Type(() => Boolean)\n  controlAfterGenerate?: boolean\n\n  @Type(() => Boolean)\n  imageUpload?: boolean\n}\n\nexport class CustomInputSpec extends BaseInputSpec {}\n\nexport class ComfyInputsSpec {\n  @Transform(({ value }) => ComfyInputsSpec.transformInputSpecRecord(value))\n  required: Record<string, BaseInputSpec> = {}\n\n  @Transform(({ value }) => ComfyInputsSpec.transformInputSpecRecord(value))\n  optional: Record<string, BaseInputSpec> = {}\n\n  hidden?: Record<string, any>\n\n  private static transformInputSpecRecord(\n    record: Record<string, any>\n  ): Record<string, BaseInputSpec> {\n    if (!record) return record\n    const result: Record<string, BaseInputSpec> = {}\n    for (const [key, value] of Object.entries(record)) {\n      result[key] = ComfyInputsSpec.transformSingleInputSpec(key, value)\n    }\n    return result\n  }\n\n  private static transformSingleInputSpec(\n    name: string,\n    value: any\n  ): BaseInputSpec {\n    if (!BaseInputSpec.isInputSpec(value)) return value\n\n    const [typeRaw, _spec] = value\n    const spec = _spec ?? {}\n    const type = Array.isArray(typeRaw) ? 'COMBO' : value[0]\n\n    switch (type) {\n      case 'INT':\n        return plainToClass(IntInputSpec, { name, type, ...spec })\n      case 'FLOAT':\n        return plainToClass(FloatInputSpec, { name, type, ...spec })\n      case 'BOOLEAN':\n        return plainToClass(BooleanInputSpec, { name, type, ...spec })\n      case 'STRING':\n        return plainToClass(StringInputSpec, { name, type, ...spec })\n      case 'COMBO':\n        return plainToClass(ComboInputSpec, {\n          name,\n          type,\n          ...spec,\n          comboOptions: typeRaw,\n          default: spec.default ?? typeRaw[0]\n        })\n      default:\n        return plainToClass(CustomInputSpec, { name, type, ...spec })\n    }\n  }\n\n  get all() {\n    return [...Object.values(this.required), ...Object.values(this.optional)]\n  }\n\n  getInput(name: string): BaseInputSpec | undefined {\n    return this.required[name] ?? this.optional[name]\n  }\n}\n\nexport class ComfyOutputSpec {\n  constructor(\n    public index: number,\n    // Name is not unique for output params\n    public name: string,\n    public type: string,\n    public is_list: boolean,\n    public comboOptions?: any[],\n    public tooltip?: string\n  ) {}\n}\n\nexport class ComfyOutputsSpec {\n  constructor(public outputs: ComfyOutputSpec[]) {}\n\n  get all() {\n    return this.outputs\n  }\n}\n\nexport class ComfyNodeDefImpl {\n  name: string\n  display_name: string\n  category: string\n  python_module: string\n  description: string\n\n  @Transform(({ value, obj }) => value ?? obj.category === '', {\n    toClassOnly: true\n  })\n  @Type(() => Boolean)\n  @Expose()\n  deprecated: boolean\n\n  @Transform(\n    ({ value, obj }) => value ?? obj.category.startsWith('_for_testing'),\n    {\n      toClassOnly: true\n    }\n  )\n  @Type(() => Boolean)\n  @Expose()\n  experimental: boolean\n\n  @Type(() => ComfyInputsSpec)\n  input: ComfyInputsSpec\n\n  @Transform(({ obj }) => ComfyNodeDefImpl.transformOutputSpec(obj))\n  output: ComfyOutputsSpec\n\n  private static transformOutputSpec(obj: any): ComfyOutputsSpec {\n    const { output, output_is_list, output_name, output_tooltips } = obj\n    const result = output.map((type: string | any[], index: number) => {\n      const typeString = Array.isArray(type) ? 'COMBO' : type\n\n      return new ComfyOutputSpec(\n        index,\n        output_name[index],\n        typeString,\n        output_is_list[index],\n        Array.isArray(type) ? type : undefined,\n        output_tooltips?.[index]\n      )\n    })\n    return new ComfyOutputsSpec(result)\n  }\n\n  get nodePath(): string {\n    return (this.category ? this.category + '/' : '') + this.display_name\n  }\n\n  get isDummyFolder(): boolean {\n    return this.name === ''\n  }\n}\n\nexport const SYSTEM_NODE_DEFS: Record<string, ComfyNodeDef> = {\n  PrimitiveNode: {\n    name: 'PrimitiveNode',\n    display_name: 'Primitive',\n    category: 'utils',\n    input: { required: {}, optional: {} },\n    output: ['*'],\n    output_name: ['connect to widget input'],\n    output_is_list: [false],\n    python_module: 'nodes',\n    description: 'Primitive values like numbers, strings, and booleans.'\n  },\n  Reroute: {\n    name: 'Reroute',\n    display_name: 'Reroute',\n    category: 'utils',\n    input: { required: { '': ['*'] }, optional: {} },\n    output: ['*'],\n    output_name: [''],\n    output_is_list: [false],\n    python_module: 'nodes',\n    description: 'Reroute the connection to another node.'\n  },\n  Note: {\n    name: 'Note',\n    display_name: 'Note',\n    category: 'utils',\n    input: { required: {}, optional: {} },\n    output: [],\n    output_name: [],\n    output_is_list: [],\n    python_module: 'nodes',\n    description: 'Node that add notes to your project'\n  }\n}\n\nexport function buildNodeDefTree(nodeDefs: ComfyNodeDefImpl[]): TreeNode {\n  return buildTree(nodeDefs, (nodeDef: ComfyNodeDefImpl) =>\n    nodeDef.nodePath.split('/')\n  )\n}\n\nexport function createDummyFolderNodeDef(folderPath: string): ComfyNodeDefImpl {\n  return plainToClass(ComfyNodeDefImpl, {\n    name: '',\n    display_name: '',\n    category: folderPath.endsWith('/') ? folderPath.slice(0, -1) : folderPath,\n    python_module: 'nodes',\n    description: 'Dummy Folder Node (User should never see this string)'\n  })\n}\n\ninterface State {\n  nodeDefsByName: Record<string, ComfyNodeDefImpl>\n  nodeDefsByDisplayName: Record<string, ComfyNodeDefImpl>\n  widgets: Record<string, ComfyWidgetConstructor>\n  showDeprecated: boolean\n  showExperimental: boolean\n}\n\nexport const useNodeDefStore = defineStore('nodeDef', {\n  state: (): State => ({\n    nodeDefsByName: {},\n    nodeDefsByDisplayName: {},\n    widgets: {},\n    showDeprecated: false,\n    showExperimental: false\n  }),\n  getters: {\n    nodeDefs(state) {\n      return Object.values(state.nodeDefsByName)\n    },\n    // Node defs that are not deprecated\n    visibleNodeDefs(state): ComfyNodeDefImpl[] {\n      return this.nodeDefs.filter(\n        (nodeDef: ComfyNodeDefImpl) =>\n          (state.showDeprecated || !nodeDef.deprecated) &&\n          (state.showExperimental || !nodeDef.experimental)\n      )\n    },\n    nodeSearchService() {\n      return new NodeSearchService(this.visibleNodeDefs)\n    },\n    nodeTree(): TreeNode {\n      return buildNodeDefTree(this.visibleNodeDefs)\n    }\n  },\n  actions: {\n    updateNodeDefs(nodeDefs: ComfyNodeDef[]) {\n      const newNodeDefsByName: { [key: string]: ComfyNodeDefImpl } = {}\n      const nodeDefsByDisplayName: { [key: string]: ComfyNodeDefImpl } = {}\n      for (const nodeDef of nodeDefs) {\n        const nodeDefImpl = plainToClass(ComfyNodeDefImpl, nodeDef)\n        newNodeDefsByName[nodeDef.name] = nodeDefImpl\n        nodeDefsByDisplayName[nodeDef.display_name] = nodeDefImpl\n      }\n      this.nodeDefsByName = newNodeDefsByName\n      this.nodeDefsByDisplayName = nodeDefsByDisplayName\n    },\n    updateWidgets(widgets: Record<string, ComfyWidgetConstructor>) {\n      this.widgets = widgets\n    },\n    getWidgetType(type: string, inputName: string) {\n      if (type === 'COMBO') {\n        return 'COMBO'\n      } else if (`${type}:${inputName}` in this.widgets) {\n        return `${type}:${inputName}`\n      } else if (type in this.widgets) {\n        return type\n      } else {\n        return null\n      }\n    },\n    inputIsWidget(spec: BaseInputSpec) {\n      return this.getWidgetType(spec.type, spec.name) !== null\n    }\n  }\n})\n","import { SidebarTabExtension, ToastManager } from '@/types/extensionTypes'\nimport { defineStore } from 'pinia'\nimport { useToastStore } from './toastStore'\n\ninterface WorkspaceState {\n  spinner: boolean\n  activeSidebarTab: string | null\n  sidebarTabs: SidebarTabExtension[]\n}\n\nexport const useWorkspaceStore = defineStore('workspace', {\n  state: (): WorkspaceState => ({\n    spinner: false,\n    activeSidebarTab: null,\n    sidebarTabs: []\n  }),\n  getters: {\n    toast(): ToastManager {\n      return useToastStore()\n    }\n  },\n  actions: {\n    updateActiveSidebarTab(tabId: string) {\n      this.activeSidebarTab = tabId\n    },\n    registerSidebarTab(tab: SidebarTabExtension) {\n      this.sidebarTabs = [...this.sidebarTabs, tab]\n    },\n    unregisterSidebarTab(id: string) {\n      const index = this.sidebarTabs.findIndex((tab) => tab.id === id)\n      if (index !== -1) {\n        const tab = this.sidebarTabs[index]\n        if (tab.type === 'custom' && tab.destroy) {\n          tab.destroy()\n        }\n        const newSidebarTabs = [...this.sidebarTabs]\n        newSidebarTabs.splice(index, 1)\n        this.sidebarTabs = newSidebarTabs\n      }\n    },\n    getSidebarTabs() {\n      return [...this.sidebarTabs]\n    }\n  }\n})\n","import { ComfyLogging } from './logging'\nimport { ComfyWidgetConstructor, ComfyWidgets, initWidgets } from './widgets'\nimport { ComfyUI, $el } from './ui'\nimport { api } from './api'\nimport { defaultGraph } from './defaultGraph'\nimport {\n  getPngMetadata,\n  getWebpMetadata,\n  getFlacMetadata,\n  importA1111,\n  getLatentMetadata\n} from './pnginfo'\nimport { addDomClippingSetting } from './domWidget'\nimport { createImageHost, calculateImageGrid } from './ui/imagePreview'\nimport { DraggableList } from './ui/draggableList'\nimport { applyTextReplacements, addStylesheet } from './utils'\nimport type { ComfyExtension } from '@/types/comfy'\nimport {\n  type ComfyWorkflowJSON,\n  type NodeId,\n  validateComfyWorkflow\n} from '../types/comfyWorkflow'\nimport { ComfyNodeDef, StatusWsMessageStatus } from '@/types/apiTypes'\nimport { lightenColor } from '@/utils/colorUtil'\nimport { ComfyAppMenu } from './ui/menu/index'\nimport { getStorageValue } from './utils'\nimport { ComfyWorkflowManager, ComfyWorkflow } from './workflows'\nimport {\n  LGraphCanvas,\n  LGraph,\n  LGraphNode,\n  LiteGraph\n} from '@comfyorg/litegraph'\nimport { StorageLocation } from '@/types/settingTypes'\n\n// CSS imports. style.css must be imported later as it overwrites some litegraph styles.\nimport '@comfyorg/litegraph/style.css'\nimport '../assets/css/style.css'\nimport { ExtensionManager } from '@/types/extensionTypes'\nimport {\n  ComfyNodeDefImpl,\n  SYSTEM_NODE_DEFS,\n  useNodeDefStore\n} from '@/stores/nodeDefStore'\nimport { Vector2 } from '@comfyorg/litegraph'\nimport _ from 'lodash'\nimport {\n  showExecutionErrorDialog,\n  showLoadWorkflowWarning,\n  showMissingModelsWarning\n} from '@/services/dialogService'\nimport { useSettingStore } from '@/stores/settingStore'\nimport { useToastStore } from '@/stores/toastStore'\nimport type { ToastMessageOptions } from 'primevue/toast'\nimport { useWorkspaceStore } from '@/stores/workspaceStateStore'\nimport { LGraphGroup } from '@comfyorg/litegraph'\n\nexport const ANIM_PREVIEW_WIDGET = '$$comfy_animation_preview'\n\nfunction sanitizeNodeName(string) {\n  let entityMap = {\n    '&': '',\n    '<': '',\n    '>': '',\n    '\"': '',\n    \"'\": '',\n    '`': '',\n    '=': ''\n  }\n  return String(string).replace(/[&<>\"'`=]/g, function fromEntityMap(s) {\n    return entityMap[s]\n  })\n}\n\n/**\n * @typedef {import(\"types/comfy\").ComfyExtension} ComfyExtension\n */\n\nexport class ComfyApp {\n  /**\n   * List of entries to queue\n   * @type {{number: number, batchCount: number}[]}\n   */\n  #queueItems = []\n  /**\n   * If the queue is currently being processed\n   * @type {boolean}\n   */\n  #processingQueue = false\n\n  /**\n   * Content Clipboard\n   * @type {serialized node object}\n   */\n  static clipspace = null\n  static clipspace_invalidate_handler = null\n  static open_maskeditor = null\n  static clipspace_return_node = null\n\n  // Force vite to import utils.ts as part of index.\n  // Force import of DraggableList.\n  static utils = {\n    applyTextReplacements,\n    addStylesheet,\n    DraggableList\n  }\n\n  vueAppReady: boolean\n  ui: ComfyUI\n  logging: ComfyLogging\n  extensions: ComfyExtension[]\n  extensionManager: ExtensionManager\n  _nodeOutputs: Record<string, any>\n  nodePreviewImages: Record<string, typeof Image>\n  shiftDown: boolean\n  graph: LGraph\n  enableWorkflowViewRestore: any\n  canvas: LGraphCanvas\n  dragOverNode: LGraphNode | null\n  canvasEl: HTMLCanvasElement\n  // x, y, scale\n  zoom_drag_start: [number, number, number] | null\n  lastNodeErrors: any[] | null\n  runningNodeId: number | null\n  lastExecutionError: { node_id: number } | null\n  progress: { value: number; max: number } | null\n  configuringGraph: boolean\n  isNewUserSession: boolean\n  storageLocation: StorageLocation\n  multiUserServer: boolean\n  ctx: CanvasRenderingContext2D\n  widgets: Record<string, ComfyWidgetConstructor>\n  workflowManager: ComfyWorkflowManager\n  bodyTop: HTMLElement\n  bodyLeft: HTMLElement\n  bodyRight: HTMLElement\n  bodyBottom: HTMLElement\n  canvasContainer: HTMLElement\n  menu: ComfyAppMenu\n  modelsInFolderCache: Record<string, string[]>\n\n  constructor() {\n    this.vueAppReady = false\n    this.ui = new ComfyUI(this)\n    this.logging = new ComfyLogging(this)\n    this.workflowManager = new ComfyWorkflowManager(this)\n    this.bodyTop = $el('div.comfyui-body-top', { parent: document.body })\n    this.bodyLeft = $el('div.comfyui-body-left', { parent: document.body })\n    this.bodyRight = $el('div.comfyui-body-right', { parent: document.body })\n    this.bodyBottom = $el('div.comfyui-body-bottom', { parent: document.body })\n    this.canvasContainer = $el('div.graph-canvas-container', {\n      parent: document.body\n    })\n    this.menu = new ComfyAppMenu(this)\n    this.modelsInFolderCache = {}\n\n    /**\n     * List of extensions that are registered with the app\n     * @type {ComfyExtension[]}\n     */\n    this.extensions = []\n\n    /**\n     * Stores the execution output data for each node\n     * @type {Record<string, any>}\n     */\n    this.nodeOutputs = {}\n\n    /**\n     * Stores the preview image data for each node\n     * @type {Record<string, Image>}\n     */\n    this.nodePreviewImages = {}\n\n    /**\n     * If the shift key on the keyboard is pressed\n     * @type {boolean}\n     */\n    this.shiftDown = false\n  }\n\n  get nodeOutputs() {\n    return this._nodeOutputs\n  }\n\n  set nodeOutputs(value) {\n    this._nodeOutputs = value\n    this.#invokeExtensions('onNodeOutputsUpdated', value)\n  }\n\n  getPreviewFormatParam() {\n    let preview_format = this.ui.settings.getSettingValue('Comfy.PreviewFormat')\n    if (preview_format) return `&preview=${preview_format}`\n    else return ''\n  }\n\n  getRandParam() {\n    return '&rand=' + Math.random()\n  }\n\n  static isImageNode(node) {\n    return (\n      node.imgs ||\n      (node &&\n        node.widgets &&\n        node.widgets.findIndex((obj) => obj.name === 'image') >= 0)\n    )\n  }\n\n  static onClipspaceEditorSave() {\n    if (ComfyApp.clipspace_return_node) {\n      ComfyApp.pasteFromClipspace(ComfyApp.clipspace_return_node)\n    }\n  }\n\n  static onClipspaceEditorClosed() {\n    ComfyApp.clipspace_return_node = null\n  }\n\n  static copyToClipspace(node) {\n    var widgets = null\n    if (node.widgets) {\n      widgets = node.widgets.map(({ type, name, value }) => ({\n        type,\n        name,\n        value\n      }))\n    }\n\n    var imgs = undefined\n    var orig_imgs = undefined\n    if (node.imgs != undefined) {\n      imgs = []\n      orig_imgs = []\n\n      for (let i = 0; i < node.imgs.length; i++) {\n        imgs[i] = new Image()\n        imgs[i].src = node.imgs[i].src\n        orig_imgs[i] = imgs[i]\n      }\n    }\n\n    var selectedIndex = 0\n    if (node.imageIndex) {\n      selectedIndex = node.imageIndex\n    }\n\n    ComfyApp.clipspace = {\n      widgets: widgets,\n      imgs: imgs,\n      original_imgs: orig_imgs,\n      images: node.images,\n      selectedIndex: selectedIndex,\n      img_paste_mode: 'selected' // reset to default im_paste_mode state on copy action\n    }\n\n    ComfyApp.clipspace_return_node = null\n\n    if (ComfyApp.clipspace_invalidate_handler) {\n      ComfyApp.clipspace_invalidate_handler()\n    }\n  }\n\n  static pasteFromClipspace(node) {\n    if (ComfyApp.clipspace) {\n      // image paste\n      if (ComfyApp.clipspace.imgs && node.imgs) {\n        if (node.images && ComfyApp.clipspace.images) {\n          if (ComfyApp.clipspace['img_paste_mode'] == 'selected') {\n            node.images = [\n              ComfyApp.clipspace.images[ComfyApp.clipspace['selectedIndex']]\n            ]\n          } else {\n            node.images = ComfyApp.clipspace.images\n          }\n\n          if (app.nodeOutputs[node.id + ''])\n            app.nodeOutputs[node.id + ''].images = node.images\n        }\n\n        if (ComfyApp.clipspace.imgs) {\n          // deep-copy to cut link with clipspace\n          if (ComfyApp.clipspace['img_paste_mode'] == 'selected') {\n            const img = new Image()\n            img.src =\n              ComfyApp.clipspace.imgs[ComfyApp.clipspace['selectedIndex']].src\n            node.imgs = [img]\n            node.imageIndex = 0\n          } else {\n            const imgs = []\n            for (let i = 0; i < ComfyApp.clipspace.imgs.length; i++) {\n              imgs[i] = new Image()\n              imgs[i].src = ComfyApp.clipspace.imgs[i].src\n              node.imgs = imgs\n            }\n          }\n        }\n      }\n\n      if (node.widgets) {\n        if (ComfyApp.clipspace.images) {\n          const clip_image =\n            ComfyApp.clipspace.images[ComfyApp.clipspace['selectedIndex']]\n          const index = node.widgets.findIndex((obj) => obj.name === 'image')\n          if (index >= 0) {\n            if (\n              node.widgets[index].type != 'image' &&\n              typeof node.widgets[index].value == 'string' &&\n              clip_image.filename\n            ) {\n              node.widgets[index].value =\n                (clip_image.subfolder ? clip_image.subfolder + '/' : '') +\n                clip_image.filename +\n                (clip_image.type ? ` [${clip_image.type}]` : '')\n            } else {\n              node.widgets[index].value = clip_image\n            }\n          }\n        }\n        if (ComfyApp.clipspace.widgets) {\n          ComfyApp.clipspace.widgets.forEach(({ type, name, value }) => {\n            const prop = Object.values(node.widgets).find(\n              // @ts-expect-errorg\n              (obj) => obj.type === type && obj.name === name\n            )\n            // @ts-expect-error\n            if (prop && prop.type != 'button') {\n              if (\n                // @ts-expect-error\n                prop.type != 'image' &&\n                // @ts-expect-error\n                typeof prop.value == 'string' &&\n                value.filename\n              ) {\n                // @ts-expect-error\n                prop.value =\n                  (value.subfolder ? value.subfolder + '/' : '') +\n                  value.filename +\n                  (value.type ? ` [${value.type}]` : '')\n              } else {\n                // @ts-expect-error\n                prop.value = value\n                // @ts-expect-error\n                prop.callback(value)\n              }\n            }\n          })\n        }\n      }\n\n      app.graph.setDirtyCanvas(true)\n    }\n  }\n\n  /**\n   * Invoke an extension callback\n   * @param {keyof ComfyExtension} method The extension callback to execute\n   * @param  {any[]} args Any arguments to pass to the callback\n   * @returns\n   */\n  #invokeExtensions(method, ...args) {\n    let results = []\n    for (const ext of this.extensions) {\n      if (method in ext) {\n        try {\n          results.push(ext[method](...args, this))\n        } catch (error) {\n          console.error(\n            `Error calling extension '${ext.name}' method '${method}'`,\n            { error },\n            { extension: ext },\n            { args }\n          )\n        }\n      }\n    }\n    return results\n  }\n\n  /**\n   * Invoke an async extension callback\n   * Each callback will be invoked concurrently\n   * @param {string} method The extension callback to execute\n   * @param  {...any} args Any arguments to pass to the callback\n   * @returns\n   */\n  async #invokeExtensionsAsync(method, ...args) {\n    return await Promise.all(\n      this.extensions.map(async (ext) => {\n        if (method in ext) {\n          try {\n            return await ext[method](...args, this)\n          } catch (error) {\n            console.error(\n              `Error calling extension '${ext.name}' method '${method}'`,\n              { error },\n              { extension: ext },\n              { args }\n            )\n          }\n        }\n      })\n    )\n  }\n\n  #addRestoreWorkflowView() {\n    const serialize = LGraph.prototype.serialize\n    const self = this\n    LGraph.prototype.serialize = function () {\n      const workflow = serialize.apply(this, arguments)\n\n      // Store the drag & scale info in the serialized workflow if the setting is enabled\n      if (self.enableWorkflowViewRestore.value) {\n        if (!workflow.extra) {\n          workflow.extra = {}\n        }\n        workflow.extra.ds = {\n          scale: self.canvas.ds.scale,\n          offset: self.canvas.ds.offset\n        }\n      } else if (workflow.extra?.ds) {\n        // Clear any old view data\n        delete workflow.extra.ds\n      }\n\n      return workflow\n    }\n    this.enableWorkflowViewRestore = this.ui.settings.addSetting({\n      id: 'Comfy.EnableWorkflowViewRestore',\n      category: ['Comfy', 'Workflow', 'EnableWorkflowViewRestore'],\n      name: 'Save and restore canvas position and zoom level in workflows',\n      type: 'boolean',\n      defaultValue: true\n    })\n  }\n\n  /**\n   * Adds special context menu handling for nodes\n   * e.g. this adds Open Image functionality for nodes that show images\n   * @param {*} node The node to add the menu handler\n   */\n  #addNodeContextMenuHandler(node) {\n    function getCopyImageOption(img) {\n      if (typeof window.ClipboardItem === 'undefined') return []\n      return [\n        {\n          content: 'Copy Image',\n          callback: async () => {\n            const url = new URL(img.src)\n            url.searchParams.delete('preview')\n\n            const writeImage = async (blob) => {\n              await navigator.clipboard.write([\n                new ClipboardItem({\n                  [blob.type]: blob\n                })\n              ])\n            }\n\n            try {\n              const data = await fetch(url)\n              const blob = await data.blob()\n              try {\n                await writeImage(blob)\n              } catch (error) {\n                // Chrome seems to only support PNG on write, convert and try again\n                if (blob.type !== 'image/png') {\n                  const canvas = $el('canvas', {\n                    width: img.naturalWidth,\n                    height: img.naturalHeight\n                  }) as HTMLCanvasElement\n                  const ctx = canvas.getContext('2d')\n                  let image\n                  if (typeof window.createImageBitmap === 'undefined') {\n                    image = new Image()\n                    const p = new Promise((resolve, reject) => {\n                      image.onload = resolve\n                      image.onerror = reject\n                    }).finally(() => {\n                      URL.revokeObjectURL(image.src)\n                    })\n                    image.src = URL.createObjectURL(blob)\n                    await p\n                  } else {\n                    image = await createImageBitmap(blob)\n                  }\n                  try {\n                    ctx.drawImage(image, 0, 0)\n                    canvas.toBlob(writeImage, 'image/png')\n                  } finally {\n                    if (typeof image.close === 'function') {\n                      image.close()\n                    }\n                  }\n\n                  return\n                }\n                throw error\n              }\n            } catch (error) {\n              alert('Error copying image: ' + (error.message ?? error))\n            }\n          }\n        }\n      ]\n    }\n\n    node.prototype.getExtraMenuOptions = function (_, options) {\n      if (this.imgs) {\n        // If this node has images then we add an open in new tab item\n        let img\n        if (this.imageIndex != null) {\n          // An image is selected so select that\n          img = this.imgs[this.imageIndex]\n        } else if (this.overIndex != null) {\n          // No image is selected but one is hovered\n          img = this.imgs[this.overIndex]\n        }\n        if (img) {\n          options.unshift(\n            {\n              content: 'Open Image',\n              callback: () => {\n                let url = new URL(img.src)\n                url.searchParams.delete('preview')\n                window.open(url, '_blank')\n              }\n            },\n            ...getCopyImageOption(img),\n            {\n              content: 'Save Image',\n              callback: () => {\n                const a = document.createElement('a')\n                let url = new URL(img.src)\n                url.searchParams.delete('preview')\n                a.href = url.toString()\n                a.setAttribute(\n                  'download',\n                  new URLSearchParams(url.search).get('filename')\n                )\n                document.body.append(a)\n                a.click()\n                requestAnimationFrame(() => a.remove())\n              }\n            }\n          )\n        }\n      }\n\n      options.push({\n        content: 'Bypass',\n        callback: (obj) => {\n          if (this.mode === 4) this.mode = 0\n          else this.mode = 4\n          this.graph.change()\n        }\n      })\n\n      // prevent conflict of clipspace content\n      if (!ComfyApp.clipspace_return_node) {\n        options.push({\n          content: 'Copy (Clipspace)',\n          callback: (obj) => {\n            ComfyApp.copyToClipspace(this)\n          }\n        })\n\n        if (ComfyApp.clipspace != null) {\n          options.push({\n            content: 'Paste (Clipspace)',\n            callback: () => {\n              ComfyApp.pasteFromClipspace(this)\n            }\n          })\n        }\n\n        if (ComfyApp.isImageNode(this)) {\n          options.push({\n            content: 'Open in MaskEditor',\n            callback: (obj) => {\n              ComfyApp.copyToClipspace(this)\n              ComfyApp.clipspace_return_node = this\n              ComfyApp.open_maskeditor()\n            }\n          })\n        }\n      }\n    }\n  }\n\n  #addNodeKeyHandler(node) {\n    const app = this\n    const origNodeOnKeyDown = node.prototype.onKeyDown\n\n    node.prototype.onKeyDown = function (e) {\n      if (origNodeOnKeyDown && origNodeOnKeyDown.apply(this, e) === false) {\n        return false\n      }\n\n      if (this.flags.collapsed || !this.imgs || this.imageIndex === null) {\n        return\n      }\n\n      let handled = false\n\n      if (e.key === 'ArrowLeft' || e.key === 'ArrowRight') {\n        if (e.key === 'ArrowLeft') {\n          this.imageIndex -= 1\n        } else if (e.key === 'ArrowRight') {\n          this.imageIndex += 1\n        }\n        this.imageIndex %= this.imgs.length\n\n        if (this.imageIndex < 0) {\n          this.imageIndex = this.imgs.length + this.imageIndex\n        }\n        handled = true\n      } else if (e.key === 'Escape') {\n        this.imageIndex = null\n        handled = true\n      }\n\n      if (handled === true) {\n        e.preventDefault()\n        e.stopImmediatePropagation()\n        return false\n      }\n    }\n  }\n\n  /**\n   * Adds Custom drawing logic for nodes\n   * e.g. Draws images and handles thumbnail navigation on nodes that output images\n   * @param {*} node The node to add the draw handler\n   */\n  #addDrawBackgroundHandler(node) {\n    const app = this\n\n    function getImageTop(node) {\n      let shiftY\n      if (node.imageOffset != null) {\n        shiftY = node.imageOffset\n      } else {\n        if (node.widgets?.length) {\n          const w = node.widgets[node.widgets.length - 1]\n          shiftY = w.last_y\n          if (w.computeSize) {\n            shiftY += w.computeSize()[1] + 4\n          } else if (w.computedHeight) {\n            shiftY += w.computedHeight\n          } else {\n            shiftY += LiteGraph.NODE_WIDGET_HEIGHT + 4\n          }\n        } else {\n          shiftY = node.computeSize()[1]\n        }\n      }\n      return shiftY\n    }\n\n    node.prototype.setSizeForImage = function (force) {\n      if (!force && this.animatedImages) return\n\n      if (this.inputHeight || this.freeWidgetSpace > 210) {\n        this.setSize(this.size)\n        return\n      }\n      const minHeight = getImageTop(this) + 220\n      if (this.size[1] < minHeight) {\n        this.setSize([this.size[0], minHeight])\n      }\n    }\n\n    function unsafeDrawBackground(ctx) {\n      if (!this.flags.collapsed) {\n        let imgURLs = []\n        let imagesChanged = false\n\n        const output = app.nodeOutputs[this.id + '']\n        if (output?.images) {\n          this.animatedImages = output?.animated?.find(Boolean)\n          if (this.images !== output.images) {\n            this.images = output.images\n            imagesChanged = true\n            imgURLs = imgURLs.concat(\n              output.images.map((params) => {\n                return api.apiURL(\n                  '/view?' +\n                    new URLSearchParams(params).toString() +\n                    (this.animatedImages ? '' : app.getPreviewFormatParam()) +\n                    app.getRandParam()\n                )\n              })\n            )\n          }\n        }\n\n        const preview = app.nodePreviewImages[this.id + '']\n        if (this.preview !== preview) {\n          this.preview = preview\n          imagesChanged = true\n          if (preview != null) {\n            imgURLs.push(preview)\n          }\n        }\n\n        if (imagesChanged) {\n          this.imageIndex = null\n          if (imgURLs.length > 0) {\n            Promise.all(\n              imgURLs.map((src) => {\n                return new Promise((r) => {\n                  const img = new Image()\n                  img.onload = () => r(img)\n                  img.onerror = () => r(null)\n                  img.src = src\n                })\n              })\n            ).then((imgs) => {\n              if (\n                (!output || this.images === output.images) &&\n                (!preview || this.preview === preview)\n              ) {\n                this.imgs = imgs.filter(Boolean)\n                this.setSizeForImage?.()\n                app.graph.setDirtyCanvas(true)\n              }\n            })\n          } else {\n            this.imgs = null\n          }\n        }\n\n        const is_all_same_aspect_ratio = (imgs) => {\n          // assume: imgs.length >= 2\n          let ratio = imgs[0].naturalWidth / imgs[0].naturalHeight\n\n          for (let i = 1; i < imgs.length; i++) {\n            let this_ratio = imgs[i].naturalWidth / imgs[i].naturalHeight\n            if (ratio != this_ratio) return false\n          }\n\n          return true\n        }\n\n        if (this.imgs?.length) {\n          const widgetIdx = this.widgets?.findIndex(\n            (w) => w.name === ANIM_PREVIEW_WIDGET\n          )\n\n          if (this.animatedImages) {\n            // Instead of using the canvas we'll use a IMG\n            if (widgetIdx > -1) {\n              // Replace content\n              const widget = this.widgets[widgetIdx]\n              widget.options.host.updateImages(this.imgs)\n            } else {\n              const host = createImageHost(this)\n              this.setSizeForImage(true)\n              const widget = this.addDOMWidget(\n                ANIM_PREVIEW_WIDGET,\n                'img',\n                host.el,\n                {\n                  host,\n                  getHeight: host.getHeight,\n                  onDraw: host.onDraw,\n                  hideOnZoom: false\n                }\n              )\n              widget.serializeValue = () => undefined\n              widget.options.host.updateImages(this.imgs)\n            }\n            return\n          }\n\n          if (widgetIdx > -1) {\n            this.widgets[widgetIdx].onRemove?.()\n            this.widgets.splice(widgetIdx, 1)\n          }\n\n          const canvas = app.graph.list_of_graphcanvas[0]\n          const mouse = canvas.graph_mouse\n          if (!canvas.pointer_is_down && this.pointerDown) {\n            if (\n              mouse[0] === this.pointerDown.pos[0] &&\n              mouse[1] === this.pointerDown.pos[1]\n            ) {\n              this.imageIndex = this.pointerDown.index\n            }\n            this.pointerDown = null\n          }\n\n          let imageIndex = this.imageIndex\n          const numImages = this.imgs.length\n          if (numImages === 1 && !imageIndex) {\n            this.imageIndex = imageIndex = 0\n          }\n\n          const top = getImageTop(this)\n          var shiftY = top\n\n          let dw = this.size[0]\n          let dh = this.size[1]\n          dh -= shiftY\n\n          if (imageIndex == null) {\n            var cellWidth, cellHeight, shiftX, cell_padding, cols\n\n            const compact_mode = is_all_same_aspect_ratio(this.imgs)\n            if (!compact_mode) {\n              // use rectangle cell style and border line\n              cell_padding = 2\n              // Prevent infinite canvas2d scale-up\n              const largestDimension = this.imgs.reduce(\n                (acc, current) =>\n                  Math.max(acc, current.naturalWidth, current.naturalHeight),\n                0\n              )\n              const fakeImgs = []\n              fakeImgs.length = this.imgs.length\n              fakeImgs[0] = {\n                naturalWidth: largestDimension,\n                naturalHeight: largestDimension\n              }\n              ;({ cellWidth, cellHeight, cols, shiftX } = calculateImageGrid(\n                fakeImgs,\n                dw,\n                dh\n              ))\n            } else {\n              cell_padding = 0\n              ;({ cellWidth, cellHeight, cols, shiftX } = calculateImageGrid(\n                this.imgs,\n                dw,\n                dh\n              ))\n            }\n\n            let anyHovered = false\n            this.imageRects = []\n            for (let i = 0; i < numImages; i++) {\n              const img = this.imgs[i]\n              const row = Math.floor(i / cols)\n              const col = i % cols\n              const x = col * cellWidth + shiftX\n              const y = row * cellHeight + shiftY\n              if (!anyHovered) {\n                anyHovered = LiteGraph.isInsideRectangle(\n                  mouse[0],\n                  mouse[1],\n                  x + this.pos[0],\n                  y + this.pos[1],\n                  cellWidth,\n                  cellHeight\n                )\n                if (anyHovered) {\n                  this.overIndex = i\n                  let value = 110\n                  if (canvas.pointer_is_down) {\n                    if (!this.pointerDown || this.pointerDown.index !== i) {\n                      this.pointerDown = { index: i, pos: [...mouse] }\n                    }\n                    value = 125\n                  }\n                  ctx.filter = `contrast(${value}%) brightness(${value}%)`\n                  canvas.canvas.style.cursor = 'pointer'\n                }\n              }\n              this.imageRects.push([x, y, cellWidth, cellHeight])\n\n              let wratio = cellWidth / img.width\n              let hratio = cellHeight / img.height\n              var ratio = Math.min(wratio, hratio)\n\n              let imgHeight = ratio * img.height\n              let imgY =\n                row * cellHeight + shiftY + (cellHeight - imgHeight) / 2\n              let imgWidth = ratio * img.width\n              let imgX = col * cellWidth + shiftX + (cellWidth - imgWidth) / 2\n\n              ctx.drawImage(\n                img,\n                imgX + cell_padding,\n                imgY + cell_padding,\n                imgWidth - cell_padding * 2,\n                imgHeight - cell_padding * 2\n              )\n              if (!compact_mode) {\n                // rectangle cell and border line style\n                ctx.strokeStyle = '#8F8F8F'\n                ctx.lineWidth = 1\n                ctx.strokeRect(\n                  x + cell_padding,\n                  y + cell_padding,\n                  cellWidth - cell_padding * 2,\n                  cellHeight - cell_padding * 2\n                )\n              }\n\n              ctx.filter = 'none'\n            }\n\n            if (!anyHovered) {\n              this.pointerDown = null\n              this.overIndex = null\n            }\n          } else {\n            // Draw individual\n            let w = this.imgs[imageIndex].naturalWidth\n            let h = this.imgs[imageIndex].naturalHeight\n\n            const scaleX = dw / w\n            const scaleY = dh / h\n            const scale = Math.min(scaleX, scaleY, 1)\n\n            w *= scale\n            h *= scale\n\n            let x = (dw - w) / 2\n            let y = (dh - h) / 2 + shiftY\n            ctx.drawImage(this.imgs[imageIndex], x, y, w, h)\n\n            const drawButton = (x, y, sz, text) => {\n              const hovered = LiteGraph.isInsideRectangle(\n                mouse[0],\n                mouse[1],\n                x + this.pos[0],\n                y + this.pos[1],\n                sz,\n                sz\n              )\n              let fill = '#333'\n              let textFill = '#fff'\n              let isClicking = false\n              if (hovered) {\n                canvas.canvas.style.cursor = 'pointer'\n                if (canvas.pointer_is_down) {\n                  fill = '#1e90ff'\n                  isClicking = true\n                } else {\n                  fill = '#eee'\n                  textFill = '#000'\n                }\n              } else {\n                this.pointerWasDown = null\n              }\n\n              ctx.fillStyle = fill\n              ctx.beginPath()\n              ctx.roundRect(x, y, sz, sz, [4])\n              ctx.fill()\n              ctx.fillStyle = textFill\n              ctx.font = '12px Arial'\n              ctx.textAlign = 'center'\n              ctx.fillText(text, x + 15, y + 20)\n\n              return isClicking\n            }\n\n            if (numImages > 1) {\n              if (\n                drawButton(\n                  dw - 40,\n                  dh + top - 40,\n                  30,\n                  `${this.imageIndex + 1}/${numImages}`\n                )\n              ) {\n                let i =\n                  this.imageIndex + 1 >= numImages ? 0 : this.imageIndex + 1\n                if (!this.pointerDown || !this.pointerDown.index === i) {\n                  this.pointerDown = { index: i, pos: [...mouse] }\n                }\n              }\n\n              if (drawButton(dw - 40, top + 10, 30, `x`)) {\n                if (!this.pointerDown || !this.pointerDown.index === null) {\n                  this.pointerDown = { index: null, pos: [...mouse] }\n                }\n              }\n            }\n          }\n        }\n      }\n    }\n\n    node.prototype.onDrawBackground = function (ctx) {\n      try {\n        unsafeDrawBackground.call(this, ctx)\n      } catch (error) {\n        console.error('Error drawing node background', error)\n      }\n    }\n  }\n\n  /**\n   * Adds a handler allowing drag+drop of files onto the window to load workflows\n   */\n  #addDropHandler() {\n    // Get prompt from dropped PNG or json\n    document.addEventListener('drop', async (event) => {\n      event.preventDefault()\n      event.stopPropagation()\n\n      const n = this.dragOverNode\n      this.dragOverNode = null\n      // Node handles file drop, we dont use the built in onDropFile handler as its buggy\n      // If you drag multiple files it will call it multiple times with the same file\n      // @ts-expect-error This is not a standard event. TODO fix it.\n      if (n && n.onDragDrop && (await n.onDragDrop(event))) {\n        return\n      }\n      // Dragging from Chrome->Firefox there is a file but its a bmp, so ignore that\n      if (\n        event.dataTransfer.files.length &&\n        event.dataTransfer.files[0].type !== 'image/bmp'\n      ) {\n        await this.handleFile(event.dataTransfer.files[0])\n      } else {\n        // Try loading the first URI in the transfer list\n        const validTypes = ['text/uri-list', 'text/x-moz-url']\n        const match = [...event.dataTransfer.types].find((t) =>\n          validTypes.find((v) => t === v)\n        )\n        if (match) {\n          const uri = event.dataTransfer.getData(match)?.split('\\n')?.[0]\n          if (uri) {\n            await this.handleFile(await (await fetch(uri)).blob())\n          }\n        }\n      }\n    })\n\n    // Always clear over node on drag leave\n    this.canvasEl.addEventListener('dragleave', async () => {\n      if (this.dragOverNode) {\n        this.dragOverNode = null\n        this.graph.setDirtyCanvas(false, true)\n      }\n    })\n\n    // Add handler for dropping onto a specific node\n    this.canvasEl.addEventListener(\n      'dragover',\n      (e) => {\n        this.canvas.adjustMouseEvent(e)\n        // @ts-expect-error: canvasX and canvasY are added by adjustMouseEvent in litegraph\n        const node = this.graph.getNodeOnPos(e.canvasX, e.canvasY)\n        if (node) {\n          // @ts-expect-error This is not a standard event. TODO fix it.\n          if (node.onDragOver && node.onDragOver(e)) {\n            this.dragOverNode = node\n\n            // dragover event is fired very frequently, run this on an animation frame\n            requestAnimationFrame(() => {\n              this.graph.setDirtyCanvas(false, true)\n            })\n            return\n          }\n        }\n        this.dragOverNode = null\n      },\n      false\n    )\n  }\n\n  /**\n   * Adds a handler on paste that extracts and loads images or workflows from pasted JSON data\n   */\n  #addPasteHandler() {\n    document.addEventListener('paste', async (e: ClipboardEvent) => {\n      // ctrl+shift+v is used to paste nodes with connections\n      // this is handled by litegraph\n      if (this.shiftDown) return\n\n      // @ts-expect-error: Property 'clipboardData' does not exist on type 'Window & typeof globalThis'.\n      // Did you mean 'Clipboard'?ts(2551)\n      // TODO: Not sure what the code wants to do.\n      let data = e.clipboardData || window.clipboardData\n      const items = data.items\n\n      // Look for image paste data\n      for (const item of items) {\n        if (item.type.startsWith('image/')) {\n          var imageNode = null\n\n          // If an image node is selected, paste into it\n          if (\n            this.canvas.current_node &&\n            this.canvas.current_node.is_selected &&\n            ComfyApp.isImageNode(this.canvas.current_node)\n          ) {\n            imageNode = this.canvas.current_node\n          }\n\n          // No image node selected: add a new one\n          if (!imageNode) {\n            const newNode = LiteGraph.createNode('LoadImage')\n            newNode.pos = [...this.canvas.graph_mouse]\n            imageNode = this.graph.add(newNode)\n            this.graph.change()\n          }\n          const blob = item.getAsFile()\n          imageNode.pasteFile(blob)\n          return\n        }\n      }\n\n      // No image found. Look for node data\n      data = data.getData('text/plain')\n      let workflow: ComfyWorkflowJSON\n      try {\n        data = data.slice(data.indexOf('{'))\n        workflow = JSON.parse(data)\n      } catch (err) {\n        try {\n          data = data.slice(data.indexOf('workflow\\n'))\n          data = data.slice(data.indexOf('{'))\n          workflow = JSON.parse(data)\n        } catch (error) {\n          console.error(error)\n        }\n      }\n\n      if (workflow && workflow.version && workflow.nodes && workflow.extra) {\n        await this.loadGraphData(workflow)\n      } else {\n        if (\n          (e.target instanceof HTMLTextAreaElement &&\n            e.target.type === 'textarea') ||\n          (e.target instanceof HTMLInputElement && e.target.type === 'text')\n        ) {\n          return\n        }\n\n        // Litegraph default paste\n        this.canvas.pasteFromClipboard()\n      }\n    })\n  }\n\n  /**\n   * Adds a handler on copy that serializes selected nodes to JSON\n   */\n  #addCopyHandler() {\n    document.addEventListener('copy', (e) => {\n      if (!(e.target instanceof Element)) {\n        return\n      }\n      if (\n        (e.target instanceof HTMLTextAreaElement &&\n          e.target.type === 'textarea') ||\n        (e.target instanceof HTMLInputElement && e.target.type === 'text')\n      ) {\n        // Default system copy\n        return\n      }\n      const isTargetInGraph =\n        e.target.classList.contains('litegraph') ||\n        e.target.classList.contains('graph-canvas-container')\n\n      // copy nodes and clear clipboard\n      if (isTargetInGraph && this.canvas.selected_nodes) {\n        this.canvas.copyToClipboard()\n        e.clipboardData.setData('text', ' ') //clearData doesn't remove images from clipboard\n        e.preventDefault()\n        e.stopImmediatePropagation()\n        return false\n      }\n    })\n  }\n\n  /**\n   * Handle mouse\n   *\n   * Move group by header\n   */\n  #addProcessMouseHandler() {\n    const self = this\n\n    const origProcessMouseDown = LGraphCanvas.prototype.processMouseDown\n    LGraphCanvas.prototype.processMouseDown = function (e) {\n      // prepare for ctrl+shift drag: zoom start\n      if (e.ctrlKey && e.shiftKey && e.buttons) {\n        self.zoom_drag_start = [e.x, e.y, this.ds.scale]\n        return\n      }\n\n      const res = origProcessMouseDown.apply(this, arguments)\n\n      this.selected_group_moving = false\n\n      if (this.selected_group && !this.selected_group_resizing) {\n        var font_size =\n          this.selected_group.font_size || LiteGraph.DEFAULT_GROUP_FONT_SIZE\n        var height = font_size * 1.4\n\n        // Move group by header\n        if (\n          LiteGraph.isInsideRectangle(\n            // @ts-expect-error\n            e.canvasX,\n            // @ts-expect-error\n            e.canvasY,\n            this.selected_group.pos[0],\n            this.selected_group.pos[1],\n            this.selected_group.size[0],\n            height\n          )\n        ) {\n          this.selected_group_moving = true\n        }\n      }\n\n      return res\n    }\n    const origProcessMouseMove = LGraphCanvas.prototype.processMouseMove\n    LGraphCanvas.prototype.processMouseMove = function (e) {\n      // handle ctrl+shift drag\n      if (e.ctrlKey && e.shiftKey && self.zoom_drag_start) {\n        // stop canvas zoom action\n        if (!e.buttons) {\n          self.zoom_drag_start = null\n          return\n        }\n\n        // calculate delta\n        let deltaY = e.y - self.zoom_drag_start[1]\n        let startScale = self.zoom_drag_start[2]\n\n        let scale = startScale - deltaY / 100\n\n        this.ds.changeScale(scale, [\n          self.zoom_drag_start[0],\n          self.zoom_drag_start[1]\n        ])\n        this.graph.change()\n\n        return\n      }\n\n      const orig_selected_group = this.selected_group\n\n      if (\n        this.selected_group &&\n        !this.selected_group_resizing &&\n        !this.selected_group_moving\n      ) {\n        this.selected_group = null\n      }\n\n      const res = origProcessMouseMove.apply(this, arguments)\n\n      if (\n        orig_selected_group &&\n        !this.selected_group_resizing &&\n        !this.selected_group_moving\n      ) {\n        this.selected_group = orig_selected_group\n      }\n\n      return res\n    }\n  }\n\n  /**\n   * Handle keypress\n   *\n   * Ctrl + M mute/unmute selected nodes\n   */\n  #addProcessKeyHandler() {\n    const self = this\n    const origProcessKey = LGraphCanvas.prototype.processKey\n    LGraphCanvas.prototype.processKey = function (e) {\n      if (!this.graph) {\n        return\n      }\n\n      var block_default = false\n\n      if (e.target instanceof Element && e.target.localName == 'input') {\n        return\n      }\n\n      if (e.type == 'keydown' && !e.repeat) {\n        // Ctrl + M mute/unmute\n        if (e.key === 'm' && (e.metaKey || e.ctrlKey)) {\n          if (this.selected_nodes) {\n            for (var i in this.selected_nodes) {\n              if (this.selected_nodes[i].mode === 2) {\n                // never\n                this.selected_nodes[i].mode = 0 // always\n              } else {\n                this.selected_nodes[i].mode = 2 // never\n              }\n            }\n          }\n          block_default = true\n        }\n\n        // Ctrl + B bypass\n        if (e.key === 'b' && (e.metaKey || e.ctrlKey)) {\n          if (this.selected_nodes) {\n            for (var i in this.selected_nodes) {\n              if (this.selected_nodes[i].mode === 4) {\n                // never\n                this.selected_nodes[i].mode = 0 // always\n              } else {\n                this.selected_nodes[i].mode = 4 // never\n              }\n            }\n          }\n          block_default = true\n        }\n\n        // Alt + C collapse/uncollapse\n        if (e.key === 'c' && e.altKey) {\n          if (this.selected_nodes) {\n            for (var i in this.selected_nodes) {\n              this.selected_nodes[i].collapse()\n            }\n          }\n          block_default = true\n        }\n\n        // Ctrl+C Copy\n        if (e.key === 'c' && (e.metaKey || e.ctrlKey)) {\n          // Trigger onCopy\n          return true\n        }\n\n        // Ctrl+V Paste\n        if (\n          (e.key === 'v' || e.key == 'V') &&\n          (e.metaKey || e.ctrlKey) &&\n          !e.shiftKey\n        ) {\n          // Trigger onPaste\n          return true\n        }\n\n        if (e.key === '+' && e.altKey) {\n          block_default = true\n          let scale = this.ds.scale * 1.1\n          this.ds.changeScale(scale, [\n            this.ds.element.width / 2,\n            this.ds.element.height / 2\n          ])\n          this.graph.change()\n        }\n\n        if (e.key === '-' && e.altKey) {\n          block_default = true\n          let scale = (this.ds.scale * 1) / 1.1\n          this.ds.changeScale(scale, [\n            this.ds.element.width / 2,\n            this.ds.element.height / 2\n          ])\n          this.graph.change()\n        }\n      }\n\n      this.graph.change()\n\n      if (block_default) {\n        e.preventDefault()\n        e.stopImmediatePropagation()\n        return false\n      }\n\n      // Fall through to Litegraph defaults\n      return origProcessKey.apply(this, arguments)\n    }\n  }\n\n  /**\n   * Draws group header bar\n   */\n  #addDrawGroupsHandler() {\n    const self = this\n    const origDrawGroups = LGraphCanvas.prototype.drawGroups\n    LGraphCanvas.prototype.drawGroups = function (canvas, ctx) {\n      if (!this.graph) {\n        return\n      }\n\n      var groups = this.graph._groups\n\n      ctx.save()\n      ctx.globalAlpha = 0.7 * this.editor_alpha\n\n      for (var i = 0; i < groups.length; ++i) {\n        var group = groups[i]\n\n        if (!LiteGraph.overlapBounding(this.visible_area, group._bounding)) {\n          continue\n        } //out of the visible area\n\n        ctx.fillStyle = group.color || '#335'\n        ctx.strokeStyle = group.color || '#335'\n        var pos = group._pos\n        var size = group._size\n        ctx.globalAlpha = 0.25 * this.editor_alpha\n        ctx.beginPath()\n        var font_size = group.font_size || LiteGraph.DEFAULT_GROUP_FONT_SIZE\n        ctx.rect(pos[0] + 0.5, pos[1] + 0.5, size[0], font_size * 1.4)\n        ctx.fill()\n        ctx.globalAlpha = this.editor_alpha\n      }\n\n      ctx.restore()\n\n      const res = origDrawGroups.apply(this, arguments)\n      return res\n    }\n  }\n\n  /**\n   * Draws node highlights (executing, drag drop) and progress bar\n   */\n  #addDrawNodeHandler() {\n    const origDrawNodeShape = LGraphCanvas.prototype.drawNodeShape\n    const self = this\n    LGraphCanvas.prototype.drawNodeShape = function (\n      node,\n      ctx,\n      size,\n      fgcolor,\n      bgcolor,\n      selected,\n      mouse_over\n    ) {\n      const res = origDrawNodeShape.apply(this, arguments)\n\n      const nodeErrors = self.lastNodeErrors?.[node.id]\n\n      let color = null\n      let lineWidth = 1\n      if (node.id === +self.runningNodeId) {\n        color = '#0f0'\n      } else if (self.dragOverNode && node.id === self.dragOverNode.id) {\n        color = 'dodgerblue'\n      } else if (nodeErrors?.errors) {\n        color = 'red'\n        lineWidth = 2\n      } else if (\n        self.lastExecutionError &&\n        +self.lastExecutionError.node_id === node.id\n      ) {\n        color = '#f0f'\n        lineWidth = 2\n      }\n\n      if (color) {\n        const shape =\n          // @ts-expect-error\n          node._shape || node.constructor.shape || LiteGraph.ROUND_SHAPE\n        ctx.lineWidth = lineWidth\n        ctx.globalAlpha = 0.8\n        ctx.beginPath()\n        if (shape == LiteGraph.BOX_SHAPE)\n          ctx.rect(\n            -6,\n            -6 - LiteGraph.NODE_TITLE_HEIGHT,\n            12 + size[0] + 1,\n            12 + size[1] + LiteGraph.NODE_TITLE_HEIGHT\n          )\n        else if (\n          shape == LiteGraph.ROUND_SHAPE ||\n          (shape == LiteGraph.CARD_SHAPE && node.flags.collapsed)\n        )\n          ctx.roundRect(\n            -6,\n            -6 - LiteGraph.NODE_TITLE_HEIGHT,\n            12 + size[0] + 1,\n            12 + size[1] + LiteGraph.NODE_TITLE_HEIGHT,\n            this.round_radius * 2\n          )\n        else if (shape == LiteGraph.CARD_SHAPE)\n          ctx.roundRect(\n            -6,\n            -6 - LiteGraph.NODE_TITLE_HEIGHT,\n            12 + size[0] + 1,\n            12 + size[1] + LiteGraph.NODE_TITLE_HEIGHT,\n            [this.round_radius * 2, this.round_radius * 2, 2, 2]\n          )\n        else if (shape == LiteGraph.CIRCLE_SHAPE)\n          ctx.arc(\n            size[0] * 0.5,\n            size[1] * 0.5,\n            size[0] * 0.5 + 6,\n            0,\n            Math.PI * 2\n          )\n        ctx.strokeStyle = color\n        ctx.stroke()\n        ctx.strokeStyle = fgcolor\n        ctx.globalAlpha = 1\n      }\n\n      if (self.progress && node.id === +self.runningNodeId) {\n        ctx.fillStyle = 'green'\n        ctx.fillRect(\n          0,\n          0,\n          size[0] * (self.progress.value / self.progress.max),\n          6\n        )\n        ctx.fillStyle = bgcolor\n      }\n\n      // Highlight inputs that failed validation\n      if (nodeErrors) {\n        ctx.lineWidth = 2\n        ctx.strokeStyle = 'red'\n        for (const error of nodeErrors.errors) {\n          if (error.extra_info && error.extra_info.input_name) {\n            const inputIndex = node.findInputSlot(error.extra_info.input_name)\n            if (inputIndex !== -1) {\n              let pos = node.getConnectionPos(true, inputIndex)\n              ctx.beginPath()\n              ctx.arc(\n                pos[0] - node.pos[0],\n                pos[1] - node.pos[1],\n                12,\n                0,\n                2 * Math.PI,\n                false\n              )\n              ctx.stroke()\n            }\n          }\n        }\n      }\n\n      return res\n    }\n\n    const origDrawNode = LGraphCanvas.prototype.drawNode\n    LGraphCanvas.prototype.drawNode = function (node, ctx) {\n      var editor_alpha = this.editor_alpha\n      var old_color = node.color\n      var old_bgcolor = node.bgcolor\n\n      if (node.mode === 2) {\n        // never\n        this.editor_alpha = 0.4\n      }\n\n      // ComfyUI's custom node mode enum value 4 => bypass/never.\n      // @ts-expect-error\n      if (node.mode === 4) {\n        // never\n        node.bgcolor = '#FF00FF'\n        this.editor_alpha = 0.2\n      }\n\n      const adjustColor = (color?: string) => {\n        return color ? lightenColor(color, 0.5) : color\n      }\n      if (app.ui.settings.getSettingValue('Comfy.ColorPalette') === 'light') {\n        node.bgcolor = adjustColor(node.bgcolor)\n        node.color = adjustColor(node.color)\n      }\n\n      const res = origDrawNode.apply(this, arguments)\n\n      this.editor_alpha = editor_alpha\n      node.color = old_color\n      node.bgcolor = old_bgcolor\n\n      return res\n    }\n  }\n\n  /**\n   * Handles updates from the API socket\n   */\n  #addApiUpdateHandlers() {\n    api.addEventListener(\n      'status',\n      ({ detail }: CustomEvent<StatusWsMessageStatus>) => {\n        this.ui.setStatus(detail)\n      }\n    )\n\n    api.addEventListener('progress', ({ detail }) => {\n      if (\n        this.workflowManager.activePrompt?.workflow &&\n        this.workflowManager.activePrompt.workflow !==\n          this.workflowManager.activeWorkflow\n      )\n        return\n      this.progress = detail\n      this.graph.setDirtyCanvas(true, false)\n    })\n\n    api.addEventListener('executing', ({ detail }) => {\n      if (\n        this.workflowManager.activePrompt?.workflow &&\n        this.workflowManager.activePrompt.workflow !==\n          this.workflowManager.activeWorkflow\n      )\n        return\n      this.progress = null\n      this.runningNodeId = detail\n      this.graph.setDirtyCanvas(true, false)\n      delete this.nodePreviewImages[this.runningNodeId]\n    })\n\n    api.addEventListener('executed', ({ detail }) => {\n      if (\n        this.workflowManager.activePrompt?.workflow &&\n        this.workflowManager.activePrompt.workflow !==\n          this.workflowManager.activeWorkflow\n      )\n        return\n      const output = this.nodeOutputs[detail.display_node || detail.node]\n      if (detail.merge && output) {\n        for (const k in detail.output ?? {}) {\n          const v = output[k]\n          if (v instanceof Array) {\n            output[k] = v.concat(detail.output[k])\n          } else {\n            output[k] = detail.output[k]\n          }\n        }\n      } else {\n        this.nodeOutputs[detail.display_node || detail.node] = detail.output\n      }\n      const node = this.graph.getNodeById(detail.display_node || detail.node)\n      if (node) {\n        // @ts-expect-error\n        if (node.onExecuted)\n          // @ts-expect-error\n          node.onExecuted(detail.output)\n      }\n    })\n\n    api.addEventListener('execution_start', ({ detail }) => {\n      this.runningNodeId = null\n      this.lastExecutionError = null\n      // @ts-expect-error\n      this.graph._nodes.forEach((node) => {\n        // @ts-expect-error\n        if (node.onExecutionStart)\n          // @ts-expect-error\n          node.onExecutionStart()\n      })\n    })\n\n    api.addEventListener('execution_error', ({ detail }) => {\n      this.lastExecutionError = detail\n      showExecutionErrorDialog(detail)\n      this.canvas.draw(true, true)\n    })\n\n    api.addEventListener('b_preview', ({ detail }) => {\n      const id = this.runningNodeId\n      if (id == null) return\n\n      const blob = detail\n      const blobUrl = URL.createObjectURL(blob)\n      // @ts-expect-error\n      this.nodePreviewImages[id] = [blobUrl]\n    })\n\n    api.init()\n  }\n\n  #addKeyboardHandler() {\n    window.addEventListener('keydown', (e) => {\n      this.shiftDown = e.shiftKey\n    })\n    window.addEventListener('keyup', (e) => {\n      this.shiftDown = e.shiftKey\n    })\n  }\n\n  #addConfigureHandler() {\n    const app = this\n    const configure = LGraph.prototype.configure\n    // Flag that the graph is configuring to prevent nodes from running checks while its still loading\n    LGraph.prototype.configure = function () {\n      app.configuringGraph = true\n      try {\n        return configure.apply(this, arguments)\n      } finally {\n        app.configuringGraph = false\n      }\n    }\n  }\n\n  #addAfterConfigureHandler() {\n    const app = this\n    // @ts-expect-error\n    const onConfigure = app.graph.onConfigure\n    // @ts-expect-error\n    app.graph.onConfigure = function () {\n      // Fire callbacks before the onConfigure, this is used by widget inputs to setup the config\n      // @ts-expect-error\n      for (const node of app.graph._nodes) {\n        // @ts-expect-error\n        node.onGraphConfigured?.()\n      }\n\n      const r = onConfigure?.apply(this, arguments)\n\n      // Fire after onConfigure, used by primitives to generate widget using input nodes config\n      // @ts-expect-error _nodes is private.\n      for (const node of app.graph._nodes) {\n        node.onAfterGraphConfigured?.()\n      }\n\n      return r\n    }\n  }\n\n  /**\n   * Loads all extensions from the API into the window in parallel\n   */\n  async #loadExtensions() {\n    const extensions = await api.getExtensions()\n    this.logging.addEntry('Comfy.App', 'debug', { Extensions: extensions })\n\n    // Need to load core extensions first as some custom extensions\n    // may depend on them.\n    await import('../extensions/core/index')\n    await Promise.all(\n      extensions\n        .filter((extension) => !extension.includes('extensions/core'))\n        .map(async (ext) => {\n          try {\n            await import(/* @vite-ignore */ api.fileURL(ext))\n          } catch (error) {\n            console.error('Error loading extension', ext, error)\n          }\n        })\n    )\n\n    try {\n      this.menu.workflows.registerExtension(this)\n    } catch (error) {\n      console.error(error)\n    }\n  }\n\n  async #migrateSettings() {\n    this.isNewUserSession = true\n    // Store all current settings\n    const settings = Object.keys(this.ui.settings).reduce((p, n) => {\n      const v = localStorage[`Comfy.Settings.${n}`]\n      if (v) {\n        try {\n          p[n] = JSON.parse(v)\n        } catch (error) {}\n      }\n      return p\n    }, {})\n\n    await api.storeSettings(settings)\n  }\n\n  async #setUser() {\n    const userConfig = await api.getUserConfig()\n    this.storageLocation = userConfig.storage\n    if (typeof userConfig.migrated == 'boolean') {\n      // Single user mode migrated true/false for if the default user is created\n      if (!userConfig.migrated && this.storageLocation === 'server') {\n        // Default user not created yet\n        await this.#migrateSettings()\n      }\n      return\n    }\n\n    this.multiUserServer = true\n    let user = localStorage['Comfy.userId']\n    const users = userConfig.users ?? {}\n    if (!user || !users[user]) {\n      // Lift spinner / BlockUI for user selection.\n      if (this.vueAppReady) useWorkspaceStore().spinner = false\n\n      // This will rarely be hit so move the loading to on demand\n      const { UserSelectionScreen } = await import('./ui/userSelection')\n\n      this.ui.menuContainer.style.display = 'none'\n      const { userId, username, created } =\n        await new UserSelectionScreen().show(users, user)\n      this.ui.menuContainer.style.display = ''\n\n      user = userId\n      localStorage['Comfy.userName'] = username\n      localStorage['Comfy.userId'] = user\n\n      if (created) {\n        api.user = user\n        await this.#migrateSettings()\n      }\n    }\n\n    api.user = user\n\n    this.ui.settings.addSetting({\n      id: 'Comfy.SwitchUser',\n      name: 'Switch User',\n      type: (name) => {\n        let currentUser = localStorage['Comfy.userName']\n        if (currentUser) {\n          currentUser = ` (${currentUser})`\n        }\n        return $el('tr', [\n          $el('td', [\n            $el('label', {\n              textContent: name\n            })\n          ]),\n          $el('td', [\n            $el('button', {\n              textContent: name + (currentUser ?? ''),\n              onclick: () => {\n                delete localStorage['Comfy.userId']\n                delete localStorage['Comfy.userName']\n                window.location.reload()\n              }\n            })\n          ])\n        ])\n      },\n      // TODO: Is that the correct default value?\n      defaultValue: undefined\n    })\n  }\n\n  /**\n   * Set up the app on the page\n   */\n  async setup(canvasEl: HTMLCanvasElement) {\n    this.canvasEl = canvasEl\n    await this.#setUser()\n\n    this.resizeCanvas()\n\n    await Promise.all([\n      this.workflowManager.loadWorkflows(),\n      this.ui.settings.load()\n    ])\n    await this.#loadExtensions()\n\n    addDomClippingSetting()\n    this.#addProcessMouseHandler()\n    this.#addProcessKeyHandler()\n    this.#addConfigureHandler()\n    this.#addApiUpdateHandlers()\n    this.#addRestoreWorkflowView()\n\n    this.graph = new LGraph()\n\n    this.#addAfterConfigureHandler()\n\n    this.canvas = new LGraphCanvas(canvasEl, this.graph)\n    this.ctx = canvasEl.getContext('2d')\n\n    LiteGraph.alt_drag_do_clone_nodes = true\n\n    this.graph.start()\n\n    // Ensure the canvas fills the window\n    this.resizeCanvas()\n    window.addEventListener('resize', () => this.resizeCanvas())\n    const ro = new ResizeObserver(() => this.resizeCanvas())\n    ro.observe(this.bodyTop)\n    ro.observe(this.bodyLeft)\n    ro.observe(this.bodyRight)\n    ro.observe(this.bodyBottom)\n\n    await this.#invokeExtensionsAsync('init')\n    await this.registerNodes()\n    initWidgets(this)\n\n    // Load previous workflow\n    let restored = false\n    try {\n      const loadWorkflow = async (json) => {\n        if (json) {\n          const workflow = JSON.parse(json)\n          const workflowName = getStorageValue('Comfy.PreviousWorkflow')\n          await this.loadGraphData(workflow, true, true, workflowName)\n          return true\n        }\n      }\n      const clientId = api.initialClientId ?? api.clientId\n      restored =\n        (clientId &&\n          (await loadWorkflow(\n            sessionStorage.getItem(`workflow:${clientId}`)\n          ))) ||\n        (await loadWorkflow(localStorage.getItem('workflow')))\n    } catch (err) {\n      console.error('Error loading previous workflow', err)\n    }\n\n    // We failed to restore a workflow so load the default\n    if (!restored) {\n      await this.loadGraphData()\n    }\n\n    // Save current workflow automatically\n    setInterval(() => {\n      const sortNodes =\n        this.vueAppReady &&\n        useSettingStore().get('Comfy.Workflow.SortNodeIdOnSave')\n      const workflow = JSON.stringify(this.graph.serialize({ sortNodes }))\n      localStorage.setItem('workflow', workflow)\n      if (api.clientId) {\n        sessionStorage.setItem(`workflow:${api.clientId}`, workflow)\n      }\n    }, 1000)\n\n    this.#addDrawNodeHandler()\n    this.#addDrawGroupsHandler()\n    this.#addDropHandler()\n    this.#addCopyHandler()\n    this.#addPasteHandler()\n    this.#addKeyboardHandler()\n\n    await this.#invokeExtensionsAsync('setup')\n  }\n\n  resizeCanvas() {\n    // Limit minimal scale to 1, see https://github.com/comfyanonymous/ComfyUI/pull/845\n    const scale = Math.max(window.devicePixelRatio, 1)\n\n    // Clear fixed width and height while calculating rect so it uses 100% instead\n    this.canvasEl.height = this.canvasEl.width = NaN\n    const { width, height } = this.canvasEl.getBoundingClientRect()\n    this.canvasEl.width = Math.round(width * scale)\n    this.canvasEl.height = Math.round(height * scale)\n    this.canvasEl.getContext('2d').scale(scale, scale)\n    this.canvas?.draw(true, true)\n  }\n\n  private updateVueAppNodeDefs(defs: Record<string, ComfyNodeDef>) {\n    // Frontend only nodes registered by custom nodes.\n    // Example: https://github.com/rgthree/rgthree-comfy/blob/dd534e5384be8cf0c0fa35865afe2126ba75ac55/src_web/comfyui/fast_groups_bypasser.ts#L10\n    const rawDefs = Object.fromEntries(\n      Object.entries(LiteGraph.registered_node_types).map(([name, node]) => [\n        name,\n        {\n          name,\n          display_name: name,\n          // @ts-expect-error\n          category: node.category || '__frontend_only__',\n          input: { required: {}, optional: {} },\n          output: [],\n          output_name: [],\n          output_is_list: [],\n          python_module: 'custom_nodes.frontend_only',\n          description: `Frontend only node for ${name}`\n        }\n      ])\n    )\n\n    const allNodeDefs = {\n      ...rawDefs,\n      ...defs,\n      ...SYSTEM_NODE_DEFS\n    }\n\n    const nodeDefStore = useNodeDefStore()\n    nodeDefStore.updateNodeDefs(Object.values(allNodeDefs))\n    nodeDefStore.updateWidgets(this.widgets)\n  }\n\n  /**\n   * Registers nodes with the graph\n   */\n  async registerNodes() {\n    // Load node definitions from the backend\n    const defs = await api.getNodeDefs()\n    await this.registerNodesFromDefs(defs)\n    await this.#invokeExtensionsAsync('registerCustomNodes')\n    if (this.vueAppReady) {\n      this.updateVueAppNodeDefs(defs)\n    }\n  }\n\n  getWidgetType(inputData, inputName) {\n    const type = inputData[0]\n\n    if (Array.isArray(type)) {\n      return 'COMBO'\n    } else if (`${type}:${inputName}` in this.widgets) {\n      return `${type}:${inputName}`\n    } else if (type in this.widgets) {\n      return type\n    } else {\n      return null\n    }\n  }\n\n  async registerNodeDef(nodeId: string, nodeData: ComfyNodeDef) {\n    const self = this\n    const node = class ComfyNode extends LGraphNode {\n      static comfyClass? = nodeData.name\n      // TODO: change to \"title?\" once litegraph.d.ts has been updated\n      static title = nodeData.display_name || nodeData.name\n      static nodeData? = nodeData\n      static category?: string\n\n      constructor(title?: string) {\n        super(title)\n        var inputs = nodeData['input']['required']\n        if (nodeData['input']['optional'] != undefined) {\n          inputs = Object.assign(\n            {},\n            nodeData['input']['required'],\n            nodeData['input']['optional']\n          )\n        }\n        const config = { minWidth: 1, minHeight: 1 }\n        for (const inputName in inputs) {\n          const inputData = inputs[inputName]\n          const type = inputData[0]\n\n          let widgetCreated = true\n          const widgetType = self.getWidgetType(inputData, inputName)\n          if (widgetType) {\n            if (widgetType === 'COMBO') {\n              Object.assign(\n                config,\n                self.widgets.COMBO(this, inputName, inputData, app) || {}\n              )\n            } else {\n              Object.assign(\n                config,\n                self.widgets[widgetType](this, inputName, inputData, app) || {}\n              )\n            }\n          } else {\n            // Node connection inputs\n            this.addInput(inputName, type)\n            widgetCreated = false\n          }\n          // @ts-expect-error\n          if (widgetCreated && inputData[1]?.forceInput && config?.widget) {\n            // @ts-expect-error\n            if (!config.widget.options) config.widget.options = {}\n            // @ts-expect-error\n            config.widget.options.forceInput = inputData[1].forceInput\n          }\n          // @ts-expect-error\n          if (widgetCreated && inputData[1]?.defaultInput && config?.widget) {\n            // @ts-expect-error\n            if (!config.widget.options) config.widget.options = {}\n            // @ts-expect-error\n            config.widget.options.defaultInput = inputData[1].defaultInput\n          }\n        }\n\n        for (const o in nodeData['output']) {\n          let output = nodeData['output'][o]\n          if (output instanceof Array) output = 'COMBO'\n          const outputName = nodeData['output_name'][o] || output\n          const outputShape = nodeData['output_is_list'][o]\n            ? LiteGraph.GRID_SHAPE\n            : LiteGraph.CIRCLE_SHAPE\n          this.addOutput(outputName, output, { shape: outputShape })\n        }\n\n        const s = this.computeSize()\n        s[0] = Math.max(config.minWidth, s[0] * 1.5)\n        s[1] = Math.max(config.minHeight, s[1])\n        this.size = s\n        this.serialize_widgets = true\n\n        app.#invokeExtensionsAsync('nodeCreated', this)\n      }\n    }\n    // @ts-expect-error\n    node.prototype.comfyClass = nodeData.name\n\n    this.#addNodeContextMenuHandler(node)\n    this.#addDrawBackgroundHandler(node)\n    this.#addNodeKeyHandler(node)\n\n    await this.#invokeExtensionsAsync('beforeRegisterNodeDef', node, nodeData)\n    LiteGraph.registerNodeType(nodeId, node)\n    node.category = nodeData.category\n  }\n\n  async registerNodesFromDefs(defs: Record<string, ComfyNodeDef>) {\n    await this.#invokeExtensionsAsync('addCustomNodeDefs', defs)\n\n    // Generate list of known widgets\n    this.widgets = Object.assign(\n      {},\n      ComfyWidgets,\n      ...(await this.#invokeExtensionsAsync('getCustomWidgets')).filter(Boolean)\n    )\n\n    // Register a node for each definition\n    for (const nodeId in defs) {\n      this.registerNodeDef(nodeId, defs[nodeId])\n    }\n  }\n\n  loadTemplateData(templateData) {\n    if (!templateData?.templates) {\n      return\n    }\n\n    const old = localStorage.getItem('litegrapheditor_clipboard')\n\n    var maxY, nodeBottom, node\n\n    for (const template of templateData.templates) {\n      if (!template?.data) {\n        continue\n      }\n\n      localStorage.setItem('litegrapheditor_clipboard', template.data)\n      app.canvas.pasteFromClipboard()\n\n      // Move mouse position down to paste the next template below\n\n      maxY = false\n\n      for (const i in app.canvas.selected_nodes) {\n        node = app.canvas.selected_nodes[i]\n\n        nodeBottom = node.pos[1] + node.size[1]\n\n        if (maxY === false || nodeBottom > maxY) {\n          maxY = nodeBottom\n        }\n      }\n\n      app.canvas.graph_mouse[1] = maxY + 50\n    }\n\n    localStorage.setItem('litegrapheditor_clipboard', old)\n  }\n\n  showMissingNodesError(missingNodeTypes, hasAddedNodes = true) {\n    if (\n      this.vueAppReady &&\n      useSettingStore().get('Comfy.Workflow.ShowMissingNodesWarning')\n    ) {\n      showLoadWorkflowWarning({\n        missingNodeTypes,\n        hasAddedNodes,\n        maximizable: true\n      })\n    }\n\n    this.logging.addEntry('Comfy.App', 'warn', {\n      MissingNodes: missingNodeTypes\n    })\n  }\n\n  showMissingModelsError(missingModels) {\n    if (\n      this.vueAppReady &&\n      useSettingStore().get('Comfy.Workflow.ShowMissingModelsWarning')\n    ) {\n      showMissingModelsWarning({\n        missingModels,\n        maximizable: true\n      })\n    }\n\n    this.logging.addEntry('Comfy.App', 'warn', {\n      MissingModels: missingModels\n    })\n  }\n\n  async changeWorkflow(callback, workflow = null) {\n    try {\n      this.workflowManager.activeWorkflow?.changeTracker?.store()\n    } catch (error) {\n      console.error(error)\n    }\n    await callback()\n    try {\n      this.workflowManager.setWorkflow(workflow)\n      this.workflowManager.activeWorkflow?.track()\n    } catch (error) {\n      console.error(error)\n    }\n  }\n\n  async loadGraphData(\n    graphData?: ComfyWorkflowJSON,\n    clean: boolean = true,\n    restore_view: boolean = true,\n    workflow: string | null | ComfyWorkflow = null\n  ) {\n    if (clean !== false) {\n      this.clean()\n    }\n\n    let reset_invalid_values = false\n    if (!graphData) {\n      graphData = defaultGraph\n      reset_invalid_values = true\n    }\n\n    if (typeof structuredClone === 'undefined') {\n      graphData = JSON.parse(JSON.stringify(graphData))\n    } else {\n      graphData = structuredClone(graphData)\n    }\n\n    try {\n      this.workflowManager.setWorkflow(workflow)\n    } catch (error) {\n      console.error(error)\n    }\n\n    if (\n      this.vueAppReady &&\n      useSettingStore().get('Comfy.Validation.Workflows')\n    ) {\n      // TODO: Show validation error in a dialog.\n      const validatedGraphData = await validateComfyWorkflow(\n        graphData,\n        /* onError=*/ alert\n      )\n      // If the validation failed, use the original graph data.\n      // Ideally we should not block users from loading the workflow.\n      graphData = validatedGraphData ?? graphData\n    }\n\n    const missingNodeTypes = []\n    const missingModels = []\n    await this.#invokeExtensionsAsync(\n      'beforeConfigureGraph',\n      graphData,\n      missingNodeTypes\n      // TODO: missingModels\n    )\n    for (let n of graphData.nodes) {\n      // Patch T2IAdapterLoader to ControlNetLoader since they are the same node now\n      if (n.type == 'T2IAdapterLoader') n.type = 'ControlNetLoader'\n      if (n.type == 'ConditioningAverage ') n.type = 'ConditioningAverage' //typo fix\n      if (n.type == 'SDV_img2vid_Conditioning')\n        n.type = 'SVD_img2vid_Conditioning' //typo fix\n\n      // Find missing node types\n      if (!(n.type in LiteGraph.registered_node_types)) {\n        missingNodeTypes.push(n.type)\n        n.type = sanitizeNodeName(n.type)\n      }\n    }\n    if (\n      graphData.models &&\n      useSettingStore().get('Comfy.Workflow.ShowMissingModelsWarning')\n    ) {\n      for (let m of graphData.models) {\n        const models_available = await this.getModelsInFolderCached(m.directory)\n        if (models_available === null) {\n          // @ts-expect-error\n          m.directory_invalid = true\n          missingModels.push(m)\n        } else if (!models_available.includes(m.name)) {\n          missingModels.push(m)\n        }\n      }\n    }\n\n    try {\n      this.graph.configure(graphData)\n      if (\n        restore_view &&\n        this.enableWorkflowViewRestore.value &&\n        graphData.extra?.ds\n      ) {\n        // @ts-expect-error\n        // Need to set strict: true for zod to match the type [number, number]\n        // https://github.com/colinhacks/zod/issues/3056\n        this.canvas.ds.offset = graphData.extra.ds.offset\n        this.canvas.ds.scale = graphData.extra.ds.scale\n      }\n\n      try {\n        this.workflowManager.activeWorkflow?.track()\n      } catch (error) {\n        // TODO: Do we want silently fail here?\n      }\n    } catch (error) {\n      let errorHint = []\n      // Try extracting filename to see if it was caused by an extension script\n      const filename =\n        error.fileName ||\n        (error.stack || '').match(/(\\/extensions\\/.*\\.js)/)?.[1]\n      const pos = (filename || '').indexOf('/extensions/')\n      if (pos > -1) {\n        errorHint.push(\n          $el('span', {\n            textContent: 'This may be due to the following script:'\n          }),\n          $el('br'),\n          $el('span', {\n            style: {\n              fontWeight: 'bold'\n            },\n            textContent: filename.substring(pos)\n          })\n        )\n      }\n\n      // Show dialog to let the user know something went wrong loading the data\n      this.ui.dialog.show(\n        $el('div', [\n          $el('p', {\n            textContent: 'Loading aborted due to error reloading workflow data'\n          }),\n          $el('pre', {\n            style: { padding: '5px', backgroundColor: 'rgba(255,0,0,0.2)' },\n            textContent: error.toString()\n          }),\n          $el('pre', {\n            style: {\n              padding: '5px',\n              color: '#ccc',\n              fontSize: '10px',\n              maxHeight: '50vh',\n              overflow: 'auto',\n              backgroundColor: 'rgba(0,0,0,0.2)'\n            },\n            textContent: error.stack || 'No stacktrace available'\n          }),\n          ...errorHint\n        ]).outerHTML\n      )\n\n      return\n    }\n    // @ts-expect-error\n    for (const node of this.graph._nodes) {\n      const size = node.computeSize()\n      size[0] = Math.max(node.size[0], size[0])\n      size[1] = Math.max(node.size[1], size[1])\n      node.size = size\n      if (node.widgets) {\n        // If you break something in the backend and want to patch workflows in the frontend\n        // This is the place to do this\n        for (let widget of node.widgets) {\n          if (node.type == 'KSampler' || node.type == 'KSamplerAdvanced') {\n            if (widget.name == 'sampler_name') {\n              if (widget.value.startsWith('sample_')) {\n                widget.value = widget.value.slice(7)\n              }\n            }\n          }\n          if (\n            node.type == 'KSampler' ||\n            node.type == 'KSamplerAdvanced' ||\n            node.type == 'PrimitiveNode'\n          ) {\n            if (widget.name == 'control_after_generate') {\n              if (widget.value === true) {\n                widget.value = 'randomize'\n              } else if (widget.value === false) {\n                widget.value = 'fixed'\n              }\n            }\n          }\n          if (reset_invalid_values) {\n            if (widget.type == 'combo') {\n              if (\n                !widget.options.values.includes(widget.value) &&\n                widget.options.values.length > 0\n              ) {\n                widget.value = widget.options.values[0]\n              }\n            }\n          }\n        }\n      }\n\n      this.#invokeExtensions('loadedGraphNode', node)\n    }\n\n    // TODO: Properly handle if both nodes and models are missing (sequential dialogs?)\n    if (missingNodeTypes.length) {\n      this.showMissingNodesError(missingNodeTypes)\n    }\n    if (missingModels.length) {\n      this.showMissingModelsError(missingModels)\n    }\n    await this.#invokeExtensionsAsync('afterConfigureGraph', missingNodeTypes)\n    requestAnimationFrame(() => {\n      this.graph.setDirtyCanvas(true, true)\n    })\n  }\n\n  /**\n   * Converts the current graph workflow for sending to the API\n   * @returns The workflow and node links\n   */\n  async graphToPrompt(graph = this.graph, clean = true) {\n    for (const outerNode of this.graph.computeExecutionOrder(false)) {\n      if (outerNode.widgets) {\n        for (const widget of outerNode.widgets) {\n          // Allow widgets to run callbacks before a prompt has been queued\n          // e.g. random seed before every gen\n          widget.beforeQueued?.()\n        }\n      }\n\n      const innerNodes = outerNode.getInnerNodes\n        ? outerNode.getInnerNodes()\n        : [outerNode]\n      for (const node of innerNodes) {\n        if (node.isVirtualNode) {\n          // Don't serialize frontend only nodes but let them make changes\n          if (node.applyToGraph) {\n            node.applyToGraph()\n          }\n        }\n      }\n    }\n\n    const sortNodes =\n      this.vueAppReady &&\n      useSettingStore().get('Comfy.Workflow.SortNodeIdOnSave')\n    const workflow = graph.serialize({ sortNodes })\n    const output = {}\n    // Process nodes in order of execution\n    for (const outerNode of graph.computeExecutionOrder(false)) {\n      const skipNode = outerNode.mode === 2 || outerNode.mode === 4\n      const innerNodes =\n        !skipNode && outerNode.getInnerNodes\n          ? outerNode.getInnerNodes()\n          : [outerNode]\n      for (const node of innerNodes) {\n        if (node.isVirtualNode) {\n          continue\n        }\n\n        if (node.mode === 2 || node.mode === 4) {\n          // Don't serialize muted nodes\n          continue\n        }\n\n        const inputs = {}\n        const widgets = node.widgets\n\n        // Store all widget values\n        if (widgets) {\n          for (const i in widgets) {\n            const widget = widgets[i]\n            if (!widget.options || widget.options.serialize !== false) {\n              inputs[widget.name] = widget.serializeValue\n                ? await widget.serializeValue(node, i)\n                : widget.value\n            }\n          }\n        }\n\n        // Store all node links\n        for (let i in node.inputs) {\n          let parent = node.getInputNode(i)\n          if (parent) {\n            let link = node.getInputLink(i)\n            while (parent.mode === 4 || parent.isVirtualNode) {\n              let found = false\n              if (parent.isVirtualNode) {\n                link = parent.getInputLink(link.origin_slot)\n                if (link) {\n                  parent = parent.getInputNode(link.target_slot)\n                  if (parent) {\n                    found = true\n                  }\n                }\n              } else if (link && parent.mode === 4) {\n                let all_inputs = [link.origin_slot]\n                if (parent.inputs) {\n                  all_inputs = all_inputs.concat(Object.keys(parent.inputs))\n                  for (let parent_input in all_inputs) {\n                    parent_input = all_inputs[parent_input]\n                    if (\n                      parent.inputs[parent_input]?.type === node.inputs[i].type\n                    ) {\n                      link = parent.getInputLink(parent_input)\n                      if (link) {\n                        parent = parent.getInputNode(parent_input)\n                      }\n                      found = true\n                      break\n                    }\n                  }\n                }\n              }\n\n              if (!found) {\n                break\n              }\n            }\n\n            if (link) {\n              if (parent?.updateLink) {\n                link = parent.updateLink(link)\n              }\n              if (link) {\n                inputs[node.inputs[i].name] = [\n                  String(link.origin_id),\n                  parseInt(link.origin_slot)\n                ]\n              }\n            }\n          }\n        }\n\n        let node_data = {\n          inputs,\n          class_type: node.comfyClass\n        }\n\n        if (this.ui.settings.getSettingValue('Comfy.DevMode')) {\n          // Ignored by the backend.\n          node_data['_meta'] = {\n            title: node.title\n          }\n        }\n\n        output[String(node.id)] = node_data\n      }\n    }\n\n    // Remove inputs connected to removed nodes\n    if (clean) {\n      for (const o in output) {\n        for (const i in output[o].inputs) {\n          if (\n            Array.isArray(output[o].inputs[i]) &&\n            output[o].inputs[i].length === 2 &&\n            !output[output[o].inputs[i][0]]\n          ) {\n            delete output[o].inputs[i]\n          }\n        }\n      }\n    }\n\n    return { workflow, output }\n  }\n\n  #formatPromptError(error) {\n    if (error == null) {\n      return '(unknown error)'\n    } else if (typeof error === 'string') {\n      return error\n    } else if (error.stack && error.message) {\n      return error.toString()\n    } else if (error.response) {\n      let message = error.response.error.message\n      if (error.response.error.details)\n        message += ': ' + error.response.error.details\n      for (const [nodeID, nodeError] of Object.entries(\n        error.response.node_errors\n      )) {\n        // @ts-expect-error\n        message += '\\n' + nodeError.class_type + ':'\n        // @ts-expect-error\n        for (const errorReason of nodeError.errors) {\n          message +=\n            '\\n    - ' + errorReason.message + ': ' + errorReason.details\n        }\n      }\n      return message\n    }\n    return '(unknown error)'\n  }\n\n  async queuePrompt(number, batchCount = 1) {\n    this.#queueItems.push({ number, batchCount })\n\n    // Only have one action process the items so each one gets a unique seed correctly\n    if (this.#processingQueue) {\n      return\n    }\n\n    this.#processingQueue = true\n    this.lastNodeErrors = null\n\n    try {\n      while (this.#queueItems.length) {\n        ;({ number, batchCount } = this.#queueItems.pop())\n\n        for (let i = 0; i < batchCount; i++) {\n          const p = await this.graphToPrompt()\n\n          try {\n            const res = await api.queuePrompt(number, p)\n            this.lastNodeErrors = res.node_errors\n            if (this.lastNodeErrors.length > 0) {\n              this.canvas.draw(true, true)\n            } else {\n              try {\n                this.workflowManager.storePrompt({\n                  id: res.prompt_id,\n                  nodes: Object.keys(p.output)\n                })\n              } catch (error) {}\n            }\n          } catch (error) {\n            const formattedError = this.#formatPromptError(error)\n            this.ui.dialog.show(formattedError)\n            if (error.response) {\n              this.lastNodeErrors = error.response.node_errors\n              this.canvas.draw(true, true)\n            }\n            break\n          }\n\n          for (const n of p.workflow.nodes) {\n            const node = this.graph.getNodeById(n.id)\n            if (node.widgets) {\n              for (const widget of node.widgets) {\n                // Allow widgets to run callbacks after a prompt has been queued\n                // e.g. random seed after every gen\n                // @ts-expect-error\n                if (widget.afterQueued) {\n                  // @ts-expect-error\n                  widget.afterQueued()\n                }\n              }\n            }\n          }\n\n          this.canvas.draw(true, true)\n          await this.ui.queue.update()\n        }\n      }\n    } finally {\n      this.#processingQueue = false\n    }\n    api.dispatchEvent(\n      new CustomEvent('promptQueued', { detail: { number, batchCount } })\n    )\n    return !this.lastNodeErrors\n  }\n\n  showErrorOnFileLoad(file) {\n    this.ui.dialog.show(\n      $el('div', [\n        $el('p', { textContent: `Unable to find workflow in ${file.name}` })\n      ]).outerHTML\n    )\n  }\n\n  /**\n   * Loads workflow data from the specified file\n   * @param {File} file\n   */\n  async handleFile(file) {\n    const removeExt = (f) => {\n      if (!f) return f\n      const p = f.lastIndexOf('.')\n      if (p === -1) return f\n      return f.substring(0, p)\n    }\n    const fileName = removeExt(file.name)\n    if (file.type === 'image/png') {\n      const pngInfo = await getPngMetadata(file)\n      if (pngInfo?.workflow) {\n        await this.loadGraphData(\n          JSON.parse(pngInfo.workflow),\n          true,\n          true,\n          fileName\n        )\n      } else if (pngInfo?.prompt) {\n        this.loadApiJson(JSON.parse(pngInfo.prompt), fileName)\n      } else if (pngInfo?.parameters) {\n        this.changeWorkflow(() => {\n          importA1111(this.graph, pngInfo.parameters)\n        }, fileName)\n      } else {\n        this.showErrorOnFileLoad(file)\n      }\n    } else if (file.type === 'image/webp') {\n      const pngInfo = await getWebpMetadata(file)\n      // Support loading workflows from that webp custom node.\n      const workflow = pngInfo?.workflow || pngInfo?.Workflow\n      const prompt = pngInfo?.prompt || pngInfo?.Prompt\n\n      if (workflow) {\n        this.loadGraphData(JSON.parse(workflow), true, true, fileName)\n      } else if (prompt) {\n        this.loadApiJson(JSON.parse(prompt), fileName)\n      } else {\n        this.showErrorOnFileLoad(file)\n      }\n    } else if (file.type === 'audio/flac' || file.type === 'audio/x-flac') {\n      const pngInfo = await getFlacMetadata(file)\n      const workflow = pngInfo?.workflow || pngInfo?.Workflow\n      const prompt = pngInfo?.prompt || pngInfo?.Prompt\n\n      if (workflow) {\n        this.loadGraphData(JSON.parse(workflow), true, true, fileName)\n      } else if (prompt) {\n        this.loadApiJson(JSON.parse(prompt), fileName)\n      } else {\n        this.showErrorOnFileLoad(file)\n      }\n    } else if (\n      file.type === 'application/json' ||\n      file.name?.endsWith('.json')\n    ) {\n      const reader = new FileReader()\n      reader.onload = async () => {\n        const readerResult = reader.result as string\n        const jsonContent = JSON.parse(readerResult)\n        if (jsonContent?.templates) {\n          this.loadTemplateData(jsonContent)\n        } else if (this.isApiJson(jsonContent)) {\n          this.loadApiJson(jsonContent, fileName)\n        } else {\n          await this.loadGraphData(\n            JSON.parse(readerResult),\n            true,\n            false,\n            fileName\n          )\n        }\n      }\n      reader.readAsText(file)\n    } else if (\n      file.name?.endsWith('.latent') ||\n      file.name?.endsWith('.safetensors')\n    ) {\n      const info = await getLatentMetadata(file)\n      // TODO define schema to LatentMetadata\n      // @ts-expect-error\n      if (info.workflow) {\n        await this.loadGraphData(\n          // @ts-expect-error\n          JSON.parse(info.workflow),\n          true,\n          true,\n          fileName\n        )\n        // @ts-expect-error\n      } else if (info.prompt) {\n        // @ts-expect-error\n        this.loadApiJson(JSON.parse(info.prompt))\n      } else {\n        this.showErrorOnFileLoad(file)\n      }\n    } else {\n      this.showErrorOnFileLoad(file)\n    }\n  }\n\n  isApiJson(data) {\n    // @ts-expect-error\n    return Object.values(data).every((v) => v.class_type)\n  }\n\n  loadApiJson(apiData, fileName: string) {\n    const missingNodeTypes = Object.values(apiData).filter(\n      // @ts-expect-error\n      (n) => !LiteGraph.registered_node_types[n.class_type]\n    )\n    if (missingNodeTypes.length) {\n      this.showMissingNodesError(\n        // @ts-expect-error\n        missingNodeTypes.map((t) => t.class_type),\n        false\n      )\n      return\n    }\n\n    const ids = Object.keys(apiData)\n    app.graph.clear()\n    for (const id of ids) {\n      const data = apiData[id]\n      const node = LiteGraph.createNode(data.class_type)\n      // @ts-expect-error\n      node.id = isNaN(+id) ? id : +id\n      node.title = data._meta?.title ?? node.title\n      app.graph.add(node)\n    }\n\n    this.changeWorkflow(() => {\n      for (const id of ids) {\n        const data = apiData[id]\n        const node = app.graph.getNodeById(Number.parseInt(id))\n        for (const input in data.inputs ?? {}) {\n          const value = data.inputs[input]\n          if (value instanceof Array) {\n            const [fromId, fromSlot] = value\n            const fromNode = app.graph.getNodeById(fromId)\n            let toSlot = node.inputs?.findIndex((inp) => inp.name === input)\n            if (toSlot == null || toSlot === -1) {\n              try {\n                // Target has no matching input, most likely a converted widget\n                const widget = node.widgets?.find((w) => w.name === input)\n                // @ts-expect-error\n                if (widget && node.convertWidgetToInput?.(widget)) {\n                  toSlot = node.inputs?.length - 1\n                }\n              } catch (error) {}\n            }\n            if (toSlot != null || toSlot !== -1) {\n              fromNode.connect(fromSlot, node, toSlot)\n            }\n          } else {\n            const widget = node.widgets?.find((w) => w.name === input)\n            if (widget) {\n              widget.value = value\n              // @ts-expect-error\n              widget.callback?.(value)\n            }\n          }\n        }\n      }\n      app.graph.arrange()\n    }, fileName)\n\n    for (const id of ids) {\n      const data = apiData[id]\n      const node = app.graph.getNodeById(Number.parseInt(id))\n      for (const input in data.inputs ?? {}) {\n        const value = data.inputs[input]\n        if (value instanceof Array) {\n          const [fromId, fromSlot] = value\n          const fromNode = app.graph.getNodeById(fromId)\n          let toSlot = node.inputs?.findIndex((inp) => inp.name === input)\n          if (toSlot == null || toSlot === -1) {\n            try {\n              // Target has no matching input, most likely a converted widget\n              const widget = node.widgets?.find((w) => w.name === input)\n              // @ts-expect-error\n              if (widget && node.convertWidgetToInput?.(widget)) {\n                toSlot = node.inputs?.length - 1\n              }\n            } catch (error) {}\n          }\n          if (toSlot != null || toSlot !== -1) {\n            fromNode.connect(fromSlot, node, toSlot)\n          }\n        } else {\n          const widget = node.widgets?.find((w) => w.name === input)\n          if (widget) {\n            widget.value = value\n            // @ts-expect-error\n            widget.callback?.(value)\n          }\n        }\n      }\n    }\n\n    app.graph.arrange()\n  }\n\n  /**\n   * Gets the list of model names in a folder, using a temporary local cache\n   */\n  async getModelsInFolderCached(folder: string): Promise<string[]> {\n    if (folder in this.modelsInFolderCache) {\n      return this.modelsInFolderCache[folder]\n    }\n    // TODO: needs a lock to avoid overlapping calls\n    const models = await api.getModels(folder)\n    this.modelsInFolderCache[folder] = models\n    return models\n  }\n\n  /**\n   * Registers a Comfy web extension with the app\n   * @param {ComfyExtension} extension\n   */\n  registerExtension(extension) {\n    if (!extension.name) {\n      throw new Error(\"Extensions must have a 'name' property.\")\n    }\n    if (this.extensions.find((ext) => ext.name === extension.name)) {\n      throw new Error(`Extension named '${extension.name}' already registered.`)\n    }\n    this.extensions.push(extension)\n  }\n\n  /**\n   * Refresh combo list on whole nodes\n   */\n  async refreshComboInNodes() {\n    const requestToastMessage: ToastMessageOptions = {\n      severity: 'info',\n      summary: 'Update',\n      detail: 'Update requested'\n    }\n    if (this.vueAppReady) useToastStore().add(requestToastMessage)\n\n    this.modelsInFolderCache = {}\n\n    const defs = await api.getNodeDefs()\n\n    for (const nodeId in defs) {\n      this.registerNodeDef(nodeId, defs[nodeId])\n    }\n    // @ts-expect-error\n    for (let nodeNum in this.graph._nodes) {\n      // @ts-expect-error\n      const node = this.graph._nodes[nodeNum]\n      const def = defs[node.type]\n      // @ts-expect-error\n      // Allow primitive nodes to handle refresh\n      node.refreshComboInNode?.(defs)\n\n      if (!def) continue\n\n      for (const widgetNum in node.widgets) {\n        const widget = node.widgets[widgetNum]\n        if (\n          widget.type == 'combo' &&\n          def['input']['required'][widget.name] !== undefined\n        ) {\n          widget.options.values = def['input']['required'][widget.name][0]\n\n          if (\n            widget.name != 'image' &&\n            !widget.options.values.includes(widget.value)\n          ) {\n            widget.value = widget.options.values[0]\n            // @ts-expect-error\n            widget.callback(widget.value)\n          }\n        }\n      }\n    }\n\n    await this.#invokeExtensionsAsync('refreshComboInNodes', defs)\n\n    if (this.vueAppReady) {\n      this.updateVueAppNodeDefs(defs)\n      useToastStore().remove(requestToastMessage)\n      useToastStore().add({\n        severity: 'success',\n        summary: 'Updated',\n        detail: 'Node definitions updated',\n        life: 1000\n      })\n    }\n  }\n\n  resetView() {\n    app.canvas.ds.scale = 1\n    app.canvas.ds.offset = [0, 0]\n    app.graph.setDirtyCanvas(true, true)\n  }\n\n  /**\n   * Clean current state\n   */\n  clean() {\n    this.nodeOutputs = {}\n    this.nodePreviewImages = {}\n    this.lastNodeErrors = null\n    this.lastExecutionError = null\n    this.runningNodeId = null\n  }\n\n  addNodeOnGraph(\n    nodeDef: ComfyNodeDef | ComfyNodeDefImpl,\n    options: Record<string, any> = {}\n  ): LGraphNode {\n    const node = LiteGraph.createNode(\n      nodeDef.name,\n      nodeDef.display_name,\n      options\n    )\n    this.graph.add(node)\n    return node\n  }\n\n  clientPosToCanvasPos(pos: Vector2): Vector2 {\n    const rect = this.canvasContainer.getBoundingClientRect()\n    const containerOffsets = [rect.left, rect.top]\n    return _.zip(pos, this.canvas.ds.offset, containerOffsets).map(\n      ([p, o1, o2]) => (p - o2) / this.canvas.ds.scale - o1\n    ) as Vector2\n  }\n\n  canvasPosToClientPos(pos: Vector2): Vector2 {\n    const rect = this.canvasContainer.getBoundingClientRect()\n    const containerOffsets = [rect.left, rect.top]\n    return _.zip(pos, this.canvas.ds.offset, containerOffsets).map(\n      ([p, o1, o2]) => (p + o1) * this.canvas.ds.scale + o2\n    ) as Vector2\n  }\n\n  getCanvasCenter(): Vector2 {\n    const dpi = Math.max(window.devicePixelRatio ?? 1, 1)\n    const [x, y, w, h] = app.canvas.ds.visible_area\n    return [x + w / dpi / 2, y + h / dpi / 2]\n  }\n\n  public goToNode(nodeId: NodeId) {\n    // @ts-expect-error TODO: Update litegraph's nodeId type to string | number\n    const graphNode = this.graph.getNodeById(nodeId)\n    if (!graphNode) return\n    this.canvas.centerOnNode(graphNode)\n  }\n}\n\nexport const app = new ComfyApp()\n","<template>\n  <div class=\"editable-text\">\n    <span v-if=\"!props.isEditing\">\n      {{ modelValue }}\n    </span>\n    <InputText\n      v-else\n      type=\"text\"\n      size=\"small\"\n      fluid\n      v-model:modelValue=\"inputValue\"\n      ref=\"inputRef\"\n      @keyup.enter=\"finishEditing\"\n      @click.stop\n      :pt=\"{\n        root: {\n          onBlur: finishEditing\n        }\n      }\"\n      v-focus\n    />\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport InputText from 'primevue/inputtext'\nimport { nextTick, ref, watch } from 'vue'\n\ninterface EditableTextProps {\n  modelValue: string\n  isEditing?: boolean\n}\n\nconst props = withDefaults(defineProps<EditableTextProps>(), {\n  isEditing: false\n})\n\nconst emit = defineEmits(['update:modelValue', 'edit'])\nconst inputValue = ref<string>(props.modelValue)\nconst isEditingFinished = ref<boolean>(false)\nconst inputRef = ref(null)\nconst finishEditing = () => {\n  if (isEditingFinished.value) {\n    return\n  }\n  isEditingFinished.value = true\n  emit('edit', inputValue.value)\n}\nwatch(\n  () => props.isEditing,\n  (newVal) => {\n    if (newVal) {\n      inputValue.value = props.modelValue\n      isEditingFinished.value = false\n      nextTick(() => {\n        if (!inputRef.value) return\n        const fileName = inputValue.value.includes('.')\n          ? inputValue.value.split('.').slice(0, -1).join('.')\n          : inputValue.value\n        const start = 0\n        const end = fileName.length\n        const inputElement = inputRef.value.$el\n        inputElement.setSelectionRange(start, end)\n      })\n    }\n  },\n  { immediate: true }\n)\nconst vFocus = {\n  mounted: (el: HTMLElement) => el.focus()\n}\n</script>\n\n<style scoped>\n.editable-text {\n  display: inline-block;\n}\n.editable-text input {\n  width: 100%;\n  box-sizing: border-box;\n}\n</style>\n","<template>\n  <div v-if=\"showInput\" class=\"node-title-editor\" :style=\"inputStyle\">\n    <EditableText\n      :isEditing=\"showInput\"\n      :modelValue=\"editedTitle\"\n      @edit=\"onEdit\"\n    />\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { ref, onMounted, CSSProperties } from 'vue'\nimport { app } from '@/scripts/app'\nimport { LGraphNode } from '@comfyorg/litegraph'\nimport { ComfyExtension } from '@/types/comfy'\nimport EditableText from '@/components/common/EditableText.vue'\nimport { LiteGraph } from '@comfyorg/litegraph'\nimport { useSettingStore } from '@/stores/settingStore'\n\nconst settingStore = useSettingStore()\n\nconst showInput = ref(false)\nconst editedTitle = ref('')\nconst inputStyle = ref<CSSProperties>({\n  position: 'fixed',\n  left: '0px',\n  top: '0px',\n  width: '200px',\n  height: '20px'\n})\n\nconst currentNode = ref<LGraphNode | null>(null)\n\nconst onEdit = (newValue: string) => {\n  if (currentNode.value && newValue.trim() !== '') {\n    currentNode.value.title = newValue.trim()\n    app.graph.setDirtyCanvas(true, true)\n  }\n  showInput.value = false\n}\n\nconst extension: ComfyExtension = {\n  name: 'Comfy.NodeTitleEditor',\n  nodeCreated(node: LGraphNode) {\n    // Store the original callback\n    const originalCallback = node.onNodeTitleDblClick\n\n    node.onNodeTitleDblClick = function (e: MouseEvent, ...args: any[]) {\n      if (!settingStore.get('Comfy.Node.DoubleClickTitleToEdit')) {\n        return\n      }\n\n      currentNode.value = this\n      editedTitle.value = this.title\n      showInput.value = true\n\n      const isCollapsed = node.flags?.collapsed\n      const [x1, y1, x2, y2] = this.getBounding()\n      const [nodeWidth, nodeHeight] = this.size\n      const canvasWidth =\n        // @ts-expect-error Remove after collapsed_width is exposed in LiteGraph\n        isCollapsed && node._collapsed_width ? node._collapsed_width : nodeWidth\n      const canvasHeight = LiteGraph.NODE_TITLE_HEIGHT\n\n      const [left, top] = app.canvasPosToClientPos([x1, y1])\n      inputStyle.value.left = `${left}px`\n      inputStyle.value.top = `${top}px`\n\n      const width = canvasWidth * app.canvas.ds.scale\n      const height = canvasHeight * app.canvas.ds.scale\n      inputStyle.value.width = `${width}px`\n      inputStyle.value.height = `${height}px`\n\n      // Call the original callback if it exists\n      if (typeof originalCallback === 'function') {\n        originalCallback.call(this, e, ...args)\n      }\n    }\n  }\n}\n\nonMounted(() => {\n  app.registerExtension(extension)\n})\n</script>\n\n<style scoped>\n.node-title-editor {\n  z-index: 9999;\n  padding: 0.25rem;\n}\n\n:deep(.editable-text) {\n  width: 100%;\n  height: 100%;\n}\n\n:deep(.editable-text input) {\n  width: 100%;\n  height: 100%;\n}\n</style>\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-overlaybadge {\\n    position: relative;\\n}\\n\\n.p-overlaybadge .p-badge {\\n    position: absolute;\\n    top: 0;\\n    right: 0;\\n    transform: translate(50%, -50%);\\n    transform-origin: 100% 0;\\n    margin: 0;\\n    outline-width: \".concat(dt('overlaybadge.outline.width'), \";\\n    outline-style: solid;\\n    outline-color: \").concat(dt('overlaybadge.outline.color'), \";\\n}\\n\");\n};\nvar classes = {\n  root: 'p-overlaybadge'\n};\nvar OverlayBadgeStyle = BaseStyle.extend({\n  name: 'overlaybadge',\n  theme: theme,\n  classes: classes\n});\n\nexport { OverlayBadgeStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import Badge from 'primevue/badge';\nimport OverlayBadgeStyle from 'primevue/overlaybadge/style';\nimport { resolveComponent, openBlock, createElementBlock, mergeProps, renderSlot, createVNode } from 'vue';\n\nvar script$1 = {\n  name: 'OverlayBadge',\n  \"extends\": Badge,\n  style: OverlayBadgeStyle,\n  provide: function provide() {\n    return {\n      $pcOverlayBadge: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'OverlayBadge',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  components: {\n    Badge: Badge\n  }\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_Badge = resolveComponent(\"Badge\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root')), [renderSlot(_ctx.$slots, \"default\"), createVNode(_component_Badge, mergeProps(_ctx.$props, {\n    pt: _ctx.ptm('pcBadge')\n  }), null, 16, [\"pt\"])], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <Button\n    :class=\"props.class\"\n    text\n    :pt=\"{\n      root: `side-bar-button ${\n        props.selected\n          ? 'p-button-primary side-bar-button-selected'\n          : 'p-button-secondary'\n      }`\n    }\"\n    @click=\"emit('click', $event)\"\n    v-tooltip=\"{ value: props.tooltip, showDelay: 300, hideDelay: 300 }\"\n  >\n    <template #icon>\n      <OverlayBadge v-if=\"shouldShowBadge\" :value=\"overlayValue\">\n        <i :class=\"props.icon + ' side-bar-button-icon'\" />\n      </OverlayBadge>\n      <i v-else :class=\"props.icon + ' side-bar-button-icon'\" />\n    </template>\n  </Button>\n</template>\n\n<script setup lang=\"ts\">\nimport OverlayBadge from 'primevue/overlaybadge'\nimport Button from 'primevue/button'\nimport { computed, PropType } from 'vue' // Add this line to import PropsType\n\nconst props = defineProps({\n  icon: String,\n  selected: Boolean,\n  tooltip: {\n    type: String,\n    default: ''\n  },\n  class: {\n    type: String,\n    default: ''\n  },\n  iconBadge: {\n    type: [String, Function] as PropType<string | (() => string | null)>,\n    default: ''\n  }\n})\n\nconst emit = defineEmits(['click'])\nconst overlayValue = computed(() =>\n  typeof props.iconBadge === 'function'\n    ? props.iconBadge() || ''\n    : props.iconBadge\n)\nconst shouldShowBadge = computed(() => !!overlayValue.value)\n</script>\n\n<style>\n.side-bar-button-icon {\n  font-size: var(--sidebar-icon-size) !important;\n}\n\n.side-bar-button-selected .side-bar-button-icon {\n  font-size: var(--sidebar-icon-size) !important;\n  font-weight: bold;\n}\n</style>\n\n<style scoped>\n.side-bar-button {\n  width: var(--sidebar-width);\n  height: var(--sidebar-width);\n  border-radius: 0;\n}\n\n.comfyui-body-left .side-bar-button.side-bar-button-selected,\n.comfyui-body-left .side-bar-button.side-bar-button-selected:hover {\n  border-left: 4px solid var(--p-button-text-primary-color);\n}\n\n.comfyui-body-right .side-bar-button.side-bar-button-selected,\n.comfyui-body-right .side-bar-button.side-bar-button-selected:hover {\n  border-right: 4px solid var(--p-button-text-primary-color);\n}\n</style>\n","<template>\n  <SidebarIcon\n    :icon=\"icon\"\n    @click=\"toggleTheme\"\n    :tooltip=\"$t('sideToolbar.themeToggle')\"\n    class=\"comfy-vue-theme-toggle\"\n  />\n</template>\n\n<script setup lang=\"ts\">\nimport { computed, ref } from 'vue'\nimport SidebarIcon from './SidebarIcon.vue'\nimport { useSettingStore } from '@/stores/settingStore'\n\nconst previousDarkTheme = ref('dark')\nconst currentTheme = computed(() => useSettingStore().get('Comfy.ColorPalette'))\nconst isDarkMode = computed(() => currentTheme.value !== 'light')\nconst icon = computed(() => (isDarkMode.value ? 'pi pi-moon' : 'pi pi-sun'))\n\nconst toggleTheme = () => {\n  if (isDarkMode.value) {\n    previousDarkTheme.value = currentTheme.value\n    useSettingStore().set('Comfy.ColorPalette', 'light')\n  } else {\n    useSettingStore().set('Comfy.ColorPalette', previousDarkTheme.value)\n  }\n}\n</script>\n","<template>\n  <SidebarIcon\n    icon=\"pi pi-cog\"\n    @click=\"showSetting\"\n    :tooltip=\"$t('settings')\"\n  />\n</template>\n\n<script setup lang=\"ts\">\nimport SidebarIcon from './SidebarIcon.vue'\nimport { useDialogStore } from '@/stores/dialogStore'\nimport SettingDialogContent from '@/components/dialog/content/SettingDialogContent.vue'\nimport SettingDialogHeader from '@/components/dialog/header/SettingDialogHeader.vue'\n\nconst dialogStore = useDialogStore()\nconst showSetting = () => {\n  dialogStore.showDialog({\n    headerComponent: SettingDialogHeader,\n    component: SettingDialogContent\n  })\n}\n</script>\n","<template>\n  <teleport :to=\"teleportTarget\">\n    <nav :class=\"'side-tool-bar-container' + (isSmall ? ' small-sidebar' : '')\">\n      <SidebarIcon\n        v-for=\"tab in tabs\"\n        :key=\"tab.id\"\n        :icon=\"tab.icon\"\n        :iconBadge=\"tab.iconBadge\"\n        :tooltip=\"tab.tooltip\"\n        :selected=\"tab === selectedTab\"\n        :class=\"tab.id + '-tab-button'\"\n        @click=\"onTabClick(tab)\"\n      />\n      <div class=\"side-tool-bar-end\">\n        <SidebarThemeToggleIcon />\n        <SidebarSettingsToggleIcon />\n      </div>\n    </nav>\n  </teleport>\n  <div v-if=\"selectedTab\" class=\"sidebar-content-container\">\n    <component v-if=\"selectedTab.type === 'vue'\" :is=\"selectedTab.component\" />\n    <div\n      v-else\n      :ref=\"\n        (el) => {\n          if (el)\n            mountCustomTab(\n              selectedTab as CustomSidebarTabExtension,\n              el as HTMLElement\n            )\n        }\n      \"\n    ></div>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport SidebarIcon from './SidebarIcon.vue'\nimport SidebarThemeToggleIcon from './SidebarThemeToggleIcon.vue'\nimport SidebarSettingsToggleIcon from './SidebarSettingsToggleIcon.vue'\nimport { computed, onBeforeUnmount } from 'vue'\nimport { useWorkspaceStore } from '@/stores/workspaceStateStore'\nimport { useSettingStore } from '@/stores/settingStore'\nimport {\n  CustomSidebarTabExtension,\n  SidebarTabExtension\n} from '@/types/extensionTypes'\n\nconst workspaceStore = useWorkspaceStore()\nconst settingStore = useSettingStore()\n\nconst teleportTarget = computed(() =>\n  settingStore.get('Comfy.Sidebar.Location') === 'left'\n    ? '.comfyui-body-left'\n    : '.comfyui-body-right'\n)\n\nconst isSmall = computed(\n  () => settingStore.get('Comfy.Sidebar.Size') === 'small'\n)\n\nconst tabs = computed(() => workspaceStore.getSidebarTabs())\nconst selectedTab = computed<SidebarTabExtension | null>(() => {\n  const tabId = workspaceStore.activeSidebarTab\n  return tabs.value.find((tab) => tab.id === tabId) || null\n})\nconst mountCustomTab = (tab: CustomSidebarTabExtension, el: HTMLElement) => {\n  tab.render(el)\n}\nconst onTabClick = (item: SidebarTabExtension) => {\n  workspaceStore.updateActiveSidebarTab(\n    workspaceStore.activeSidebarTab === item.id ? null : item.id\n  )\n}\nonBeforeUnmount(() => {\n  tabs.value.forEach((tab) => {\n    if (tab.type === 'custom' && tab.destroy) {\n      tab.destroy()\n    }\n  })\n})\n</script>\n\n<style>\n:root {\n  --sidebar-width: 64px;\n  --sidebar-icon-size: 1.5rem;\n}\n:root .small-sidebar {\n  --sidebar-width: 40px;\n  --sidebar-icon-size: 1rem;\n}\n</style>\n\n<style scoped>\n.side-tool-bar-container {\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n\n  pointer-events: auto;\n\n  width: var(--sidebar-width);\n  height: 100%;\n\n  background-color: var(--comfy-menu-bg);\n  color: var(--fg-color);\n}\n\n.side-tool-bar-end {\n  align-self: flex-end;\n  margin-top: auto;\n}\n\n.sidebar-content-container {\n  height: 100%;\n  overflow-y: auto;\n}\n</style>\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-splitter {\\n    display: flex;\\n    flex-wrap: nowrap;\\n    border: 1px solid \".concat(dt('splitter.border.color'), \";\\n    background: \").concat(dt('splitter.background'), \";\\n    border-radius: \").concat(dt('border.radius.md'), \";\\n    color: \").concat(dt('splitter.color'), \";\\n}\\n\\n.p-splitter-vertical {\\n    flex-direction: column;\\n}\\n\\n.p-splitter-gutter {\\n    flex-grow: 0;\\n    flex-shrink: 0;\\n    display: flex;\\n    align-items: center;\\n    justify-content: center;\\n    z-index: 1;\\n    background: \").concat(dt('splitter.gutter.background'), \";\\n}\\n\\n.p-splitter-gutter-handle {\\n    border-radius: \").concat(dt('splitter.handle.border.radius'), \";\\n    background: \").concat(dt('splitter.handle.background'), \";\\n    transition: outline-color \").concat(dt('splitter.transition.duration'), \", box-shadow \").concat(dt('splitter.transition.duration'), \";\\n    outline-color: transparent;\\n}\\n\\n.p-splitter-gutter-handle:focus-visible {\\n    box-shadow: \").concat(dt('splitter.handle.focus.ring.shadow'), \";\\n    outline: \").concat(dt('splitter.handle.focus.ring.width'), \" \").concat(dt('splitter.handle.focus.ring.style'), \" \").concat(dt('splitter.handle.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('splitter.handle.focus.ring.offset'), \";\\n}\\n\\n.p-splitter-horizontal.p-splitter-resizing {\\n    cursor: col-resize;\\n    user-select: none;\\n}\\n\\n.p-splitter-vertical.p-splitter-resizing {\\n    cursor: row-resize;\\n    user-select: none;\\n}\\n\\n.p-splitter-horizontal > .p-splitter-gutter > .p-splitter-gutter-handle {\\n    height: \").concat(dt('splitter.handle.size'), \";\\n    width: 100%;\\n}\\n\\n.p-splitter-vertical > .p-splitter-gutter > .p-splitter-gutter-handle {\\n    width: \").concat(dt('splitter.handle.size'), \";\\n    height: 100%;\\n}\\n\\n.p-splitter-horizontal > .p-splitter-gutter {\\n    cursor: col-resize;\\n}\\n\\n.p-splitter-vertical > .p-splitter-gutter {\\n    cursor: row-resize;\\n}\\n\\n.p-splitterpanel {\\n    flex-grow: 1;\\n    overflow: hidden;\\n}\\n\\n.p-splitterpanel-nested {\\n    display: flex;\\n}\\n\\n.p-splitterpanel .p-splitter {\\n    flex-grow: 1;\\n    border: 0 none;\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var props = _ref2.props;\n    return ['p-splitter p-component', 'p-splitter-' + props.layout];\n  },\n  gutter: 'p-splitter-gutter',\n  gutterHandle: 'p-splitter-gutter-handle'\n};\nvar inlineStyles = {\n  root: function root(_ref3) {\n    var props = _ref3.props;\n    return [{\n      display: 'flex',\n      'flex-wrap': 'nowrap'\n    }, props.layout === 'vertical' ? {\n      'flex-direction': 'column'\n    } : ''];\n  }\n};\nvar SplitterStyle = BaseStyle.extend({\n  name: 'splitter',\n  theme: theme,\n  classes: classes,\n  inlineStyles: inlineStyles\n});\n\nexport { SplitterStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { getVNodeProp } from '@primevue/core/utils';\nimport { getWidth, getHeight, getOuterWidth, getOuterHeight } from '@primeuix/utils/dom';\nimport { isArray } from '@primeuix/utils/object';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport SplitterStyle from 'primevue/splitter/style';\nimport { openBlock, createElementBlock, mergeProps, Fragment, renderList, createBlock, resolveDynamicComponent, createElementVNode, createCommentVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BaseSplitter',\n  \"extends\": BaseComponent,\n  props: {\n    layout: {\n      type: String,\n      \"default\": 'horizontal'\n    },\n    gutterSize: {\n      type: Number,\n      \"default\": 4\n    },\n    stateKey: {\n      type: String,\n      \"default\": null\n    },\n    stateStorage: {\n      type: String,\n      \"default\": 'session'\n    },\n    step: {\n      type: Number,\n      \"default\": 5\n    }\n  },\n  style: SplitterStyle,\n  provide: function provide() {\n    return {\n      $pcSplitter: this,\n      $parentInstance: this\n    };\n  }\n};\n\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar script = {\n  name: 'Splitter',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['resizestart', 'resizeend', 'resize'],\n  dragging: false,\n  mouseMoveListener: null,\n  mouseUpListener: null,\n  touchMoveListener: null,\n  touchEndListener: null,\n  size: null,\n  gutterElement: null,\n  startPos: null,\n  prevPanelElement: null,\n  nextPanelElement: null,\n  nextPanelSize: null,\n  prevPanelSize: null,\n  panelSizes: null,\n  prevPanelIndex: null,\n  timer: null,\n  data: function data() {\n    return {\n      prevSize: null\n    };\n  },\n  mounted: function mounted() {\n    var _this = this;\n    if (this.panels && this.panels.length) {\n      var initialized = false;\n      if (this.isStateful()) {\n        initialized = this.restoreState();\n      }\n      if (!initialized) {\n        var children = _toConsumableArray(this.$el.children).filter(function (child) {\n          return child.getAttribute('data-pc-name') === 'splitterpanel';\n        });\n        var _panelSizes = [];\n        this.panels.map(function (panel, i) {\n          var panelInitialSize = panel.props && panel.props.size ? panel.props.size : null;\n          var panelSize = panelInitialSize || 100 / _this.panels.length;\n          _panelSizes[i] = panelSize;\n          children[i].style.flexBasis = 'calc(' + panelSize + '% - ' + (_this.panels.length - 1) * _this.gutterSize + 'px)';\n        });\n        this.panelSizes = _panelSizes;\n        this.prevSize = parseFloat(_panelSizes[0]).toFixed(4);\n      }\n    }\n  },\n  beforeUnmount: function beforeUnmount() {\n    this.clear();\n    this.unbindMouseListeners();\n  },\n  methods: {\n    isSplitterPanel: function isSplitterPanel(child) {\n      return child.type.name === 'SplitterPanel';\n    },\n    onResizeStart: function onResizeStart(event, index, isKeyDown) {\n      this.gutterElement = event.currentTarget || event.target.parentElement;\n      this.size = this.horizontal ? getWidth(this.$el) : getHeight(this.$el);\n      if (!isKeyDown) {\n        this.dragging = true;\n        this.startPos = this.layout === 'horizontal' ? event.pageX || event.changedTouches[0].pageX : event.pageY || event.changedTouches[0].pageY;\n      }\n      this.prevPanelElement = this.gutterElement.previousElementSibling;\n      this.nextPanelElement = this.gutterElement.nextElementSibling;\n      if (isKeyDown) {\n        this.prevPanelSize = this.horizontal ? getOuterWidth(this.prevPanelElement, true) : getOuterHeight(this.prevPanelElement, true);\n        this.nextPanelSize = this.horizontal ? getOuterWidth(this.nextPanelElement, true) : getOuterHeight(this.nextPanelElement, true);\n      } else {\n        this.prevPanelSize = 100 * (this.horizontal ? getOuterWidth(this.prevPanelElement, true) : getOuterHeight(this.prevPanelElement, true)) / this.size;\n        this.nextPanelSize = 100 * (this.horizontal ? getOuterWidth(this.nextPanelElement, true) : getOuterHeight(this.nextPanelElement, true)) / this.size;\n      }\n      this.prevPanelIndex = index;\n      this.$emit('resizestart', {\n        originalEvent: event,\n        sizes: this.panelSizes\n      });\n      this.$refs.gutter[index].setAttribute('data-p-gutter-resizing', true);\n      this.$el.setAttribute('data-p-resizing', true);\n    },\n    onResize: function onResize(event, step, isKeyDown) {\n      var newPos, newPrevPanelSize, newNextPanelSize;\n      if (isKeyDown) {\n        if (this.horizontal) {\n          newPrevPanelSize = 100 * (this.prevPanelSize + step) / this.size;\n          newNextPanelSize = 100 * (this.nextPanelSize - step) / this.size;\n        } else {\n          newPrevPanelSize = 100 * (this.prevPanelSize - step) / this.size;\n          newNextPanelSize = 100 * (this.nextPanelSize + step) / this.size;\n        }\n      } else {\n        if (this.horizontal) newPos = event.pageX * 100 / this.size - this.startPos * 100 / this.size;else newPos = event.pageY * 100 / this.size - this.startPos * 100 / this.size;\n        newPrevPanelSize = this.prevPanelSize + newPos;\n        newNextPanelSize = this.nextPanelSize - newPos;\n      }\n      if (this.validateResize(newPrevPanelSize, newNextPanelSize)) {\n        this.prevPanelElement.style.flexBasis = 'calc(' + newPrevPanelSize + '% - ' + (this.panels.length - 1) * this.gutterSize + 'px)';\n        this.nextPanelElement.style.flexBasis = 'calc(' + newNextPanelSize + '% - ' + (this.panels.length - 1) * this.gutterSize + 'px)';\n        this.panelSizes[this.prevPanelIndex] = newPrevPanelSize;\n        this.panelSizes[this.prevPanelIndex + 1] = newNextPanelSize;\n        this.prevSize = parseFloat(newPrevPanelSize).toFixed(4);\n      }\n      this.$emit('resize', {\n        originalEvent: event,\n        sizes: this.panelSizes\n      });\n    },\n    onResizeEnd: function onResizeEnd(event) {\n      if (this.isStateful()) {\n        this.saveState();\n      }\n      this.$emit('resizeend', {\n        originalEvent: event,\n        sizes: this.panelSizes\n      });\n      this.$refs.gutter.forEach(function (gutter) {\n        return gutter.setAttribute('data-p-gutter-resizing', false);\n      });\n      this.$el.setAttribute('data-p-resizing', false);\n      this.clear();\n    },\n    repeat: function repeat(event, index, step) {\n      this.onResizeStart(event, index, true);\n      this.onResize(event, step, true);\n    },\n    setTimer: function setTimer(event, index, step) {\n      var _this2 = this;\n      if (!this.timer) {\n        this.timer = setInterval(function () {\n          _this2.repeat(event, index, step);\n        }, 40);\n      }\n    },\n    clearTimer: function clearTimer() {\n      if (this.timer) {\n        clearInterval(this.timer);\n        this.timer = null;\n      }\n    },\n    onGutterKeyUp: function onGutterKeyUp() {\n      this.clearTimer();\n      this.onResizeEnd();\n    },\n    onGutterKeyDown: function onGutterKeyDown(event, index) {\n      switch (event.code) {\n        case 'ArrowLeft':\n          {\n            if (this.layout === 'horizontal') {\n              this.setTimer(event, index, this.step * -1);\n            }\n            event.preventDefault();\n            break;\n          }\n        case 'ArrowRight':\n          {\n            if (this.layout === 'horizontal') {\n              this.setTimer(event, index, this.step);\n            }\n            event.preventDefault();\n            break;\n          }\n        case 'ArrowDown':\n          {\n            if (this.layout === 'vertical') {\n              this.setTimer(event, index, this.step * -1);\n            }\n            event.preventDefault();\n            break;\n          }\n        case 'ArrowUp':\n          {\n            if (this.layout === 'vertical') {\n              this.setTimer(event, index, this.step);\n            }\n            event.preventDefault();\n            break;\n          }\n      }\n    },\n    onGutterMouseDown: function onGutterMouseDown(event, index) {\n      this.onResizeStart(event, index);\n      this.bindMouseListeners();\n    },\n    onGutterTouchStart: function onGutterTouchStart(event, index) {\n      this.onResizeStart(event, index);\n      this.bindTouchListeners();\n      event.preventDefault();\n    },\n    onGutterTouchMove: function onGutterTouchMove(event) {\n      this.onResize(event);\n      event.preventDefault();\n    },\n    onGutterTouchEnd: function onGutterTouchEnd(event) {\n      this.onResizeEnd(event);\n      this.unbindTouchListeners();\n      event.preventDefault();\n    },\n    bindMouseListeners: function bindMouseListeners() {\n      var _this3 = this;\n      if (!this.mouseMoveListener) {\n        this.mouseMoveListener = function (event) {\n          return _this3.onResize(event);\n        };\n        document.addEventListener('mousemove', this.mouseMoveListener);\n      }\n      if (!this.mouseUpListener) {\n        this.mouseUpListener = function (event) {\n          _this3.onResizeEnd(event);\n          _this3.unbindMouseListeners();\n        };\n        document.addEventListener('mouseup', this.mouseUpListener);\n      }\n    },\n    bindTouchListeners: function bindTouchListeners() {\n      var _this4 = this;\n      if (!this.touchMoveListener) {\n        this.touchMoveListener = function (event) {\n          return _this4.onResize(event.changedTouches[0]);\n        };\n        document.addEventListener('touchmove', this.touchMoveListener);\n      }\n      if (!this.touchEndListener) {\n        this.touchEndListener = function (event) {\n          _this4.resizeEnd(event);\n          _this4.unbindTouchListeners();\n        };\n        document.addEventListener('touchend', this.touchEndListener);\n      }\n    },\n    validateResize: function validateResize(newPrevPanelSize, newNextPanelSize) {\n      if (newPrevPanelSize > 100 || newPrevPanelSize < 0) return false;\n      if (newNextPanelSize > 100 || newNextPanelSize < 0) return false;\n      var prevPanelMinSize = getVNodeProp(this.panels[this.prevPanelIndex], 'minSize');\n      if (this.panels[this.prevPanelIndex].props && prevPanelMinSize && prevPanelMinSize > newPrevPanelSize) {\n        return false;\n      }\n      var newPanelMinSize = getVNodeProp(this.panels[this.prevPanelIndex + 1], 'minSize');\n      if (this.panels[this.prevPanelIndex + 1].props && newPanelMinSize && newPanelMinSize > newNextPanelSize) {\n        return false;\n      }\n      return true;\n    },\n    unbindMouseListeners: function unbindMouseListeners() {\n      if (this.mouseMoveListener) {\n        document.removeEventListener('mousemove', this.mouseMoveListener);\n        this.mouseMoveListener = null;\n      }\n      if (this.mouseUpListener) {\n        document.removeEventListener('mouseup', this.mouseUpListener);\n        this.mouseUpListener = null;\n      }\n    },\n    unbindTouchListeners: function unbindTouchListeners() {\n      if (this.touchMoveListener) {\n        document.removeEventListener('touchmove', this.touchMoveListener);\n        this.touchMoveListener = null;\n      }\n      if (this.touchEndListener) {\n        document.removeEventListener('touchend', this.touchEndListener);\n        this.touchEndListener = null;\n      }\n    },\n    clear: function clear() {\n      this.dragging = false;\n      this.size = null;\n      this.startPos = null;\n      this.prevPanelElement = null;\n      this.nextPanelElement = null;\n      this.prevPanelSize = null;\n      this.nextPanelSize = null;\n      this.gutterElement = null;\n      this.prevPanelIndex = null;\n    },\n    isStateful: function isStateful() {\n      return this.stateKey != null;\n    },\n    getStorage: function getStorage() {\n      switch (this.stateStorage) {\n        case 'local':\n          return window.localStorage;\n        case 'session':\n          return window.sessionStorage;\n        default:\n          throw new Error(this.stateStorage + ' is not a valid value for the state storage, supported values are \"local\" and \"session\".');\n      }\n    },\n    saveState: function saveState() {\n      if (isArray(this.panelSizes)) {\n        this.getStorage().setItem(this.stateKey, JSON.stringify(this.panelSizes));\n      }\n    },\n    restoreState: function restoreState() {\n      var _this5 = this;\n      var storage = this.getStorage();\n      var stateString = storage.getItem(this.stateKey);\n      if (stateString) {\n        this.panelSizes = JSON.parse(stateString);\n        var children = _toConsumableArray(this.$el.children).filter(function (child) {\n          return child.getAttribute('data-pc-name') === 'splitterpanel';\n        });\n        children.forEach(function (child, i) {\n          child.style.flexBasis = 'calc(' + _this5.panelSizes[i] + '% - ' + (_this5.panels.length - 1) * _this5.gutterSize + 'px)';\n        });\n        return true;\n      }\n      return false;\n    }\n  },\n  computed: {\n    panels: function panels() {\n      var _this6 = this;\n      var panels = [];\n      this.$slots[\"default\"]().forEach(function (child) {\n        if (_this6.isSplitterPanel(child)) {\n          panels.push(child);\n        } else if (child.children instanceof Array) {\n          child.children.forEach(function (nestedChild) {\n            if (_this6.isSplitterPanel(nestedChild)) {\n              panels.push(nestedChild);\n            }\n          });\n        }\n      });\n      return panels;\n    },\n    gutterStyle: function gutterStyle() {\n      if (this.horizontal) return {\n        width: this.gutterSize + 'px'\n      };else return {\n        height: this.gutterSize + 'px'\n      };\n    },\n    horizontal: function horizontal() {\n      return this.layout === 'horizontal';\n    },\n    getPTOptions: function getPTOptions() {\n      var _this$$parentInstance;\n      return {\n        context: {\n          nested: (_this$$parentInstance = this.$parentInstance) === null || _this$$parentInstance === void 0 ? void 0 : _this$$parentInstance.nestedState\n        }\n      };\n    }\n  }\n};\n\nvar _hoisted_1 = [\"onMousedown\", \"onTouchstart\", \"onTouchmove\", \"onTouchend\"];\nvar _hoisted_2 = [\"aria-orientation\", \"aria-valuenow\", \"onKeydown\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root'),\n    style: _ctx.sx('root'),\n    \"data-p-resizing\": false\n  }, _ctx.ptmi('root', $options.getPTOptions)), [(openBlock(true), createElementBlock(Fragment, null, renderList($options.panels, function (panel, i) {\n    return openBlock(), createElementBlock(Fragment, {\n      key: i\n    }, [(openBlock(), createBlock(resolveDynamicComponent(panel), {\n      tabindex: \"-1\"\n    })), i !== $options.panels.length - 1 ? (openBlock(), createElementBlock(\"div\", mergeProps({\n      key: 0,\n      ref_for: true,\n      ref: \"gutter\",\n      \"class\": _ctx.cx('gutter'),\n      role: \"separator\",\n      tabindex: \"-1\",\n      onMousedown: function onMousedown($event) {\n        return $options.onGutterMouseDown($event, i);\n      },\n      onTouchstart: function onTouchstart($event) {\n        return $options.onGutterTouchStart($event, i);\n      },\n      onTouchmove: function onTouchmove($event) {\n        return $options.onGutterTouchMove($event, i);\n      },\n      onTouchend: function onTouchend($event) {\n        return $options.onGutterTouchEnd($event, i);\n      },\n      \"data-p-gutter-resizing\": false\n    }, _ctx.ptm('gutter')), [createElementVNode(\"div\", mergeProps({\n      \"class\": _ctx.cx('gutterHandle'),\n      tabindex: \"0\",\n      style: [$options.gutterStyle],\n      \"aria-orientation\": _ctx.layout,\n      \"aria-valuenow\": $data.prevSize,\n      onKeyup: _cache[0] || (_cache[0] = function () {\n        return $options.onGutterKeyUp && $options.onGutterKeyUp.apply($options, arguments);\n      }),\n      onKeydown: function onKeydown($event) {\n        return $options.onGutterKeyDown($event, i);\n      },\n      ref_for: true\n    }, _ctx.ptm('gutterHandle')), null, 16, _hoisted_2)], 16, _hoisted_1)) : createCommentVNode(\"\", true)], 64);\n  }), 128))], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar classes = {\n  root: function root(_ref) {\n    var instance = _ref.instance;\n    return ['p-splitterpanel', {\n      'p-splitterpanel-nested': instance.isNested\n    }];\n  }\n};\nvar SplitterPanelStyle = BaseStyle.extend({\n  name: 'splitterpanel',\n  classes: classes\n});\n\nexport { SplitterPanelStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport SplitterPanelStyle from 'primevue/splitterpanel/style';\nimport { openBlock, createElementBlock, mergeProps, renderSlot } from 'vue';\n\nvar script$1 = {\n  name: 'BaseSplitterPanel',\n  \"extends\": BaseComponent,\n  props: {\n    size: {\n      type: Number,\n      \"default\": null\n    },\n    minSize: {\n      type: Number,\n      \"default\": null\n    }\n  },\n  style: SplitterPanelStyle,\n  provide: function provide() {\n    return {\n      $pcSplitterPanel: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'SplitterPanel',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  data: function data() {\n    return {\n      nestedState: null\n    };\n  },\n  computed: {\n    isNested: function isNested() {\n      var _this = this;\n      return this.$slots[\"default\"]().some(function (child) {\n        _this.nestedState = child.type.name === 'Splitter' ? true : null;\n        return _this.nestedState;\n      });\n    },\n    getPTOptions: function getPTOptions() {\n      return {\n        context: {\n          nested: this.isNested\n        }\n      };\n    }\n  }\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    ref: \"container\",\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root', $options.getPTOptions)), [renderSlot(_ctx.$slots, \"default\")], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <Splitter class=\"splitter-overlay\" :pt:gutter=\"gutterClass\">\n    <SplitterPanel\n      class=\"side-bar-panel\"\n      :minSize=\"10\"\n      :size=\"20\"\n      v-show=\"sidebarPanelVisible\"\n      v-if=\"sidebarLocation === 'left'\"\n    >\n      <slot name=\"side-bar-panel\"></slot>\n    </SplitterPanel>\n    <SplitterPanel class=\"graph-canvas-panel\" :size=\"100\">\n      <div></div>\n    </SplitterPanel>\n    <SplitterPanel\n      class=\"side-bar-panel\"\n      :minSize=\"10\"\n      :size=\"20\"\n      v-show=\"sidebarPanelVisible\"\n      v-if=\"sidebarLocation === 'right'\"\n    >\n      <slot name=\"side-bar-panel\"></slot>\n    </SplitterPanel>\n  </Splitter>\n</template>\n\n<script setup lang=\"ts\">\nimport { useSettingStore } from '@/stores/settingStore'\nimport { useWorkspaceStore } from '@/stores/workspaceStateStore'\nimport Splitter from 'primevue/splitter'\nimport SplitterPanel from 'primevue/splitterpanel'\nimport { computed } from 'vue'\n\nconst settingStore = useSettingStore()\nconst sidebarLocation = computed<'left' | 'right'>(() =>\n  settingStore.get('Comfy.Sidebar.Location')\n)\n\nconst sidebarPanelVisible = computed(\n  () => useWorkspaceStore().activeSidebarTab !== null\n)\nconst gutterClass = computed(() => {\n  return sidebarPanelVisible.value ? '' : 'gutter-hidden'\n})\n</script>\n\n<style>\n.p-splitter-gutter {\n  pointer-events: auto;\n}\n\n.gutter-hidden {\n  display: none !important;\n}\n</style>\n\n<style scoped>\n.side-bar-panel {\n  background-color: var(--bg-color);\n  pointer-events: auto;\n}\n\n.splitter-overlay {\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  top: 0;\n  left: 0;\n  background-color: transparent;\n  pointer-events: none;\n  /* Set it the same as the ComfyUI menu */\n  /* Note: Lite-graph DOM widgets have the same z-index as the node id, so\n  999 should be sufficient to make sure splitter overlays on node's DOM\n  widgets */\n  z-index: 999;\n  border: none;\n}\n</style>\n","import { isNotEmpty } from '@primeuix/utils/object';\nimport BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-autocomplete {\\n    display: inline-flex;\\n}\\n\\n.p-autocomplete-loader {\\n    position: absolute;\\n    top: 50%;\\n    margin-top: -0.5rem;\\n    right: \".concat(dt('autocomplete.padding.x'), \";\\n}\\n\\n.p-autocomplete:has(.p-autocomplete-dropdown) .p-autocomplete-loader {\\n    right: calc(\").concat(dt('autocomplete.dropdown.width'), \" + \").concat(dt('autocomplete.padding.x'), \");\\n}\\n\\n.p-autocomplete:has(.p-autocomplete-dropdown) .p-autocomplete-input {\\n    flex: 1 1 auto;\\n    width: 1%;\\n}\\n\\n.p-autocomplete:has(.p-autocomplete-dropdown) .p-autocomplete-input,\\n.p-autocomplete:has(.p-autocomplete-dropdown) .p-autocomplete-input-multiple {\\n    border-top-right-radius: 0;\\n    border-bottom-right-radius: 0;\\n}\\n\\n.p-autocomplete-dropdown {\\n    cursor: pointer;\\n    display: inline-flex;\\n    cursor: pointer;\\n    user-select: none;\\n    align-items: center;\\n    justify-content: center;\\n    overflow: hidden;\\n    position: relative;\\n    width: \").concat(dt('autocomplete.dropdown.width'), \";\\n    border-top-right-radius: \").concat(dt('autocomplete.dropdown.border.radius'), \";\\n    border-bottom-right-radius: \").concat(dt('autocomplete.dropdown.border.radius'), \";\\n    background: \").concat(dt('autocomplete.dropdown.background'), \";\\n    border: 1px solid \").concat(dt('autocomplete.dropdown.border.color'), \";\\n    border-left: 0 none;\\n    color: \").concat(dt('autocomplete.dropdown.color'), \";\\n    transition: background \").concat(dt('autocomplete.transition.duration'), \", color \").concat(dt('autocomplete.transition.duration'), \", border-color \").concat(dt('autocomplete.transition.duration'), \", outline-color \").concat(dt('autocomplete.transition.duration'), \", box-shadow \").concat(dt('autocomplete.transition.duration'), \";\\n    outline-color: transparent;\\n}\\n\\n.p-autocomplete-dropdown:not(:disabled):hover {\\n    background: \").concat(dt('autocomplete.dropdown.hover.background'), \";\\n    border-color: \").concat(dt('autocomplete.dropdown.hover.border.color'), \";\\n    color: \").concat(dt('autocomplete.dropdown.hover.color'), \";\\n}\\n\\n.p-autocomplete-dropdown:not(:disabled):active {\\n    background: \").concat(dt('autocomplete.dropdown.active.background'), \";\\n    border-color: \").concat(dt('autocomplete.dropdown.active.border.color'), \";\\n    color: \").concat(dt('autocomplete.dropdown.active.color'), \";\\n}\\n\\n.p-autocomplete-dropdown:focus-visible {\\n    box-shadow: \").concat(dt('autocomplete.dropdown.focus.ring.shadow'), \";\\n    outline: \").concat(dt('autocomplete.dropdown.focus.ring.width'), \" \").concat(dt('autocomplete.dropdown.focus.ring.style'), \" \").concat(dt('autocomplete.dropdown.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('autocomplete.dropdown.focus.ring.offset'), \";\\n}\\n\\n.p-autocomplete .p-autocomplete-overlay {\\n    min-width: 100%;\\n}\\n\\n.p-autocomplete-overlay {\\n    position: absolute;\\n    overflow: auto;\\n    top: 0;\\n    left: 0;\\n    background: \").concat(dt('autocomplete.overlay.background'), \";\\n    color: \").concat(dt('autocomplete.overlay.color'), \";\\n    border: 1px solid \").concat(dt('autocomplete.overlay.border.color'), \";\\n    border-radius: \").concat(dt('autocomplete.overlay.border.radius'), \";\\n    box-shadow: \").concat(dt('autocomplete.overlay.shadow'), \";\\n}\\n\\n.p-autocomplete-list {\\n    margin: 0;\\n    padding: 0;\\n    list-style-type: none;\\n    display: flex;\\n    flex-direction: column;\\n    gap: \").concat(dt('autocomplete.list.gap'), \";\\n    padding: \").concat(dt('autocomplete.list.padding'), \";\\n}\\n\\n.p-autocomplete-option {\\n    cursor: pointer;\\n    white-space: nowrap;\\n    position: relative;\\n    overflow: hidden;\\n    display: flex;\\n    align-items: center;\\n    padding: \").concat(dt('autocomplete.option.padding'), \";\\n    border: 0 none;\\n    color: \").concat(dt('autocomplete.option.color'), \";\\n    background: transparent;\\n    transition: background \").concat(dt('autocomplete.transition.duration'), \", color \").concat(dt('autocomplete.transition.duration'), \", border-color \").concat(dt('autocomplete.transition.duration'), \";\\n    border-radius: \").concat(dt('autocomplete.option.border.radius'), \";\\n}\\n\\n.p-autocomplete-option:not(.p-autocomplete-option-selected):not(.p-disabled).p-focus {\\n    background: \").concat(dt('autocomplete.option.focus.background'), \";\\n    color: \").concat(dt('autocomplete.option.focus.color'), \";\\n}\\n\\n.p-autocomplete-option-selected {\\n    background: \").concat(dt('autocomplete.option.selected.background'), \";\\n    color: \").concat(dt('autocomplete.option.selected.color'), \";\\n}\\n\\n.p-autocomplete-option-selected.p-focus {\\n    background: \").concat(dt('autocomplete.option.selected.focus.background'), \";\\n    color: \").concat(dt('autocomplete.option.selected.focus.color'), \";\\n}\\n\\n.p-autocomplete-option-group {\\n    margin: 0;\\n    padding: \").concat(dt('autocomplete.option.group.padding'), \";\\n    color: \").concat(dt('autocomplete.option.group.color'), \";\\n    background: \").concat(dt('autocomplete.option.group.background'), \";\\n    font-weight: \").concat(dt('autocomplete.option.group.font.weight'), \";\\n}\\n\\n.p-autocomplete-input-multiple {\\n    margin: 0;\\n    list-style-type: none;\\n    cursor: text;\\n    overflow: hidden;\\n    display: flex;\\n    align-items: center;\\n    flex-wrap: wrap;\\n    padding: calc(\").concat(dt('autocomplete.padding.y'), \" / 2) \").concat(dt('autocomplete.padding.x'), \";\\n    gap: calc(\").concat(dt('autocomplete.padding.y'), \" / 2);\\n    color: \").concat(dt('autocomplete.color'), \";\\n    background: \").concat(dt('autocomplete.background'), \";\\n    border: 1px solid \").concat(dt('autocomplete.border.color'), \";\\n    border-radius: \").concat(dt('autocomplete.border.radius'), \";\\n    width: 100%;\\n    transition: background \").concat(dt('autocomplete.transition.duration'), \", color \").concat(dt('autocomplete.transition.duration'), \", border-color \").concat(dt('autocomplete.transition.duration'), \", outline-color \").concat(dt('autocomplete.transition.duration'), \", box-shadow \").concat(dt('autocomplete.transition.duration'), \";\\n    outline-color: transparent;\\n    box-shadow: \").concat(dt('autocomplete.shadow'), \";\\n}\\n\\n.p-autocomplete:not(.p-disabled):hover .p-autocomplete-input-multiple {\\n    border-color: \").concat(dt('autocomplete.hover.border.color'), \";\\n}\\n\\n.p-autocomplete:not(.p-disabled).p-focus .p-autocomplete-input-multiple {\\n    border-color: \").concat(dt('autocomplete.focus.border.color'), \";\\n    box-shadow: \").concat(dt('autocomplete.focus.ring.shadow'), \";\\n    outline: \").concat(dt('autocomplete.focus.ring.width'), \" \").concat(dt('autocomplete.focus.ring.style'), \" \").concat(dt('autocomplete.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('autocomplete.focus.ring.offset'), \";\\n}\\n\\n.p-autocomplete.p-invalid .p-autocomplete-input-multiple {\\n    border-color: \").concat(dt('autocomplete.invalid.border.color'), \";\\n}\\n\\n.p-variant-filled.p-autocomplete-input-multiple {\\n    background: \").concat(dt('autocomplete.filled.background'), \";\\n}\\n\\n.p-autocomplete:not(.p-disabled).p-focus .p-variant-filled.p-autocomplete-input-multiple  {\\n    background: \").concat(dt('autocomplete.filled.focus.background'), \";\\n}\\n\\n.p-autocomplete.p-disabled .p-autocomplete-input-multiple {\\n    opacity: 1;\\n    background: \").concat(dt('autocomplete.disabled.background'), \";\\n    color: \").concat(dt('autocomplete.disabled.color'), \";\\n}\\n\\n.p-autocomplete-chip.p-chip {\\n    padding-top: calc(\").concat(dt('autocomplete.padding.y'), \" / 2);\\n    padding-bottom: calc(\").concat(dt('autocomplete.padding.y'), \" / 2);\\n    border-radius: \").concat(dt('autocomplete.chip.border.radius'), \";\\n}\\n\\n.p-autocomplete-input-multiple:has(.p-autocomplete-chip) {\\n    padding-left: calc(\").concat(dt('autocomplete.padding.y'), \" / 2);\\n    padding-right: calc(\").concat(dt('autocomplete.padding.y'), \" / 2);\\n}\\n\\n.p-autocomplete-chip-item.p-focus .p-autocomplete-chip {\\n    background: \").concat(dt('inputchips.chip.focus.background'), \";\\n    color: \").concat(dt('inputchips.chip.focus.color'), \";\\n}\\n\\n.p-autocomplete-input-chip {\\n    flex: 1 1 auto;\\n    display: inline-flex;\\n    padding-top: calc(\").concat(dt('autocomplete.padding.y'), \" / 2);\\n    padding-bottom: calc(\").concat(dt('autocomplete.padding.y'), \" / 2);\\n}\\n\\n.p-autocomplete-input-chip input {\\n    border: 0 none;\\n    outline: 0 none;\\n    background: transparent;\\n    margin: 0;\\n    padding: 0;\\n    box-shadow: none;\\n    border-radius: 0;\\n    width: 100%;\\n    font-family: inherit;\\n    font-feature-settings: inherit;\\n    font-size: 1rem;\\n    color: inherit;\\n}\\n\\n.p-autocomplete-input-chip input::placeholder {\\n    color: \").concat(dt('autocomplete.placeholder.color'), \";\\n}\\n\\n.p-autocomplete-empty-message {\\n    padding: \").concat(dt('autocomplete.empty.message.padding'), \";\\n}\\n\\n.p-autocomplete-fluid {\\n    display: flex;\\n}\\n\\n.p-autocomplete-fluid:has(.p-autocomplete-dropdown) .p-autocomplete-input {\\n    width: 1%;\\n}\\n\");\n};\nvar inlineStyles = {\n  root: {\n    position: 'relative'\n  }\n};\nvar classes = {\n  root: function root(_ref2) {\n    var instance = _ref2.instance,\n      props = _ref2.props;\n    return ['p-autocomplete p-component p-inputwrapper', {\n      'p-disabled': props.disabled,\n      'p-invalid': props.invalid,\n      'p-focus': instance.focused,\n      'p-inputwrapper-filled': props.modelValue || isNotEmpty(instance.inputValue),\n      'p-inputwrapper-focus': instance.focused,\n      'p-autocomplete-open': instance.overlayVisible,\n      'p-autocomplete-fluid': props.fluid\n    }];\n  },\n  pcInput: 'p-autocomplete-input',\n  inputMultiple: function inputMultiple(_ref3) {\n    var props = _ref3.props,\n      instance = _ref3.instance;\n    return ['p-autocomplete-input-multiple', {\n      'p-variant-filled': props.variant ? props.variant === 'filled' : instance.$primevue.config.inputStyle === 'filled' || instance.$primevue.config.inputVariant === 'filled'\n    }];\n  },\n  chipItem: function chipItem(_ref4) {\n    var instance = _ref4.instance,\n      i = _ref4.i;\n    return ['p-autocomplete-chip-item', {\n      'p-focus': instance.focusedMultipleOptionIndex === i\n    }];\n  },\n  pcChip: 'p-autocomplete-chip',\n  chipIcon: 'p-autocomplete-chip-icon',\n  inputChip: 'p-autocomplete-input-chip',\n  loader: 'p-autocomplete-loader',\n  dropdown: 'p-autocomplete-dropdown',\n  overlay: 'p-autocomplete-overlay p-component',\n  list: 'p-autocomplete-list',\n  optionGroup: 'p-autocomplete-option-group',\n  option: function option(_ref5) {\n    var instance = _ref5.instance,\n      _option = _ref5.option,\n      i = _ref5.i,\n      getItemOptions = _ref5.getItemOptions;\n    return ['p-autocomplete-option', {\n      'p-autocomplete-option-selected': instance.isSelected(_option),\n      'p-focus': instance.focusedOptionIndex === instance.getOptionIndex(i, getItemOptions),\n      'p-disabled': instance.isOptionDisabled(_option)\n    }];\n  },\n  emptyMessage: 'p-autocomplete-empty-message'\n};\nvar AutoCompleteStyle = BaseStyle.extend({\n  name: 'autocomplete',\n  theme: theme,\n  classes: classes,\n  inlineStyles: inlineStyles\n});\n\nexport { AutoCompleteStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { UniqueComponentId, ConnectedOverlayScrollHandler } from '@primevue/core/utils';\nimport { focus, addStyle, relativePosition, getOuterWidth, absolutePosition, isTouchDevice, findSingle } from '@primeuix/utils/dom';\nimport { resolveFieldData, isEmpty, isNotEmpty, equals, findLastIndex } from '@primeuix/utils/object';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport ChevronDownIcon from '@primevue/icons/chevrondown';\nimport SpinnerIcon from '@primevue/icons/spinner';\nimport Chip from 'primevue/chip';\nimport InputText from 'primevue/inputtext';\nimport OverlayEventBus from 'primevue/overlayeventbus';\nimport Portal from 'primevue/portal';\nimport Ripple from 'primevue/ripple';\nimport VirtualScroller from 'primevue/virtualscroller';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport AutoCompleteStyle from 'primevue/autocomplete/style';\nimport { resolveComponent, resolveDirective, openBlock, createElementBlock, mergeProps, createBlock, normalizeClass, normalizeStyle, createCommentVNode, Fragment, renderList, renderSlot, createVNode, withCtx, createElementVNode, resolveDynamicComponent, toDisplayString, Transition, createSlots, createTextVNode, withDirectives } from 'vue';\n\nvar script$1 = {\n  name: 'BaseAutoComplete',\n  \"extends\": BaseComponent,\n  props: {\n    modelValue: null,\n    suggestions: {\n      type: Array,\n      \"default\": null\n    },\n    optionLabel: null,\n    optionDisabled: null,\n    optionGroupLabel: null,\n    optionGroupChildren: null,\n    scrollHeight: {\n      type: String,\n      \"default\": '14rem'\n    },\n    dropdown: {\n      type: Boolean,\n      \"default\": false\n    },\n    dropdownMode: {\n      type: String,\n      \"default\": 'blank'\n    },\n    multiple: {\n      type: Boolean,\n      \"default\": false\n    },\n    loading: {\n      type: Boolean,\n      \"default\": false\n    },\n    variant: {\n      type: String,\n      \"default\": null\n    },\n    invalid: {\n      type: Boolean,\n      \"default\": false\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    placeholder: {\n      type: String,\n      \"default\": null\n    },\n    dataKey: {\n      type: String,\n      \"default\": null\n    },\n    minLength: {\n      type: Number,\n      \"default\": 1\n    },\n    delay: {\n      type: Number,\n      \"default\": 300\n    },\n    appendTo: {\n      type: [String, Object],\n      \"default\": 'body'\n    },\n    forceSelection: {\n      type: Boolean,\n      \"default\": false\n    },\n    completeOnFocus: {\n      type: Boolean,\n      \"default\": false\n    },\n    inputId: {\n      type: String,\n      \"default\": null\n    },\n    inputStyle: {\n      type: Object,\n      \"default\": null\n    },\n    inputClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    panelStyle: {\n      type: Object,\n      \"default\": null\n    },\n    panelClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    overlayStyle: {\n      type: Object,\n      \"default\": null\n    },\n    overlayClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    dropdownIcon: {\n      type: String,\n      \"default\": null\n    },\n    dropdownClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    loader: {\n      type: String,\n      \"default\": null\n    },\n    loadingIcon: {\n      type: String,\n      \"default\": null\n    },\n    removeTokenIcon: {\n      type: String,\n      \"default\": null\n    },\n    chipIcon: {\n      type: String,\n      \"default\": null\n    },\n    virtualScrollerOptions: {\n      type: Object,\n      \"default\": null\n    },\n    autoOptionFocus: {\n      type: Boolean,\n      \"default\": false\n    },\n    selectOnFocus: {\n      type: Boolean,\n      \"default\": false\n    },\n    focusOnHover: {\n      type: Boolean,\n      \"default\": true\n    },\n    searchLocale: {\n      type: String,\n      \"default\": undefined\n    },\n    searchMessage: {\n      type: String,\n      \"default\": null\n    },\n    selectionMessage: {\n      type: String,\n      \"default\": null\n    },\n    emptySelectionMessage: {\n      type: String,\n      \"default\": null\n    },\n    emptySearchMessage: {\n      type: String,\n      \"default\": null\n    },\n    tabindex: {\n      type: Number,\n      \"default\": 0\n    },\n    typeahead: {\n      type: Boolean,\n      \"default\": true\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    },\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    },\n    fluid: {\n      type: Boolean,\n      \"default\": false\n    }\n  },\n  style: AutoCompleteStyle,\n  provide: function provide() {\n    return {\n      $pcAutoComplete: this,\n      $parentInstance: this\n    };\n  }\n};\n\nfunction _typeof$1(o) { \"@babel/helpers - typeof\"; return _typeof$1 = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof$1(o); }\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar script = {\n  name: 'AutoComplete',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue', 'change', 'focus', 'blur', 'item-select', 'item-unselect', 'option-select', 'option-unselect', 'dropdown-click', 'clear', 'complete', 'before-show', 'before-hide', 'show', 'hide'],\n  outsideClickListener: null,\n  resizeListener: null,\n  scrollHandler: null,\n  overlay: null,\n  virtualScroller: null,\n  searchTimeout: null,\n  dirty: false,\n  data: function data() {\n    return {\n      id: this.$attrs.id,\n      clicked: false,\n      focused: false,\n      focusedOptionIndex: -1,\n      focusedMultipleOptionIndex: -1,\n      overlayVisible: false,\n      searching: false\n    };\n  },\n  watch: {\n    '$attrs.id': function $attrsId(newValue) {\n      this.id = newValue || UniqueComponentId();\n    },\n    suggestions: function suggestions() {\n      if (this.searching) {\n        this.show();\n        this.focusedOptionIndex = this.overlayVisible && this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : -1;\n        this.searching = false;\n      }\n      this.autoUpdateModel();\n    }\n  },\n  mounted: function mounted() {\n    this.id = this.id || UniqueComponentId();\n    this.autoUpdateModel();\n  },\n  updated: function updated() {\n    if (this.overlayVisible) {\n      this.alignOverlay();\n    }\n  },\n  beforeUnmount: function beforeUnmount() {\n    this.unbindOutsideClickListener();\n    this.unbindResizeListener();\n    if (this.scrollHandler) {\n      this.scrollHandler.destroy();\n      this.scrollHandler = null;\n    }\n    if (this.overlay) {\n      ZIndex.clear(this.overlay);\n      this.overlay = null;\n    }\n  },\n  methods: {\n    getOptionIndex: function getOptionIndex(index, fn) {\n      return this.virtualScrollerDisabled ? index : fn && fn(index)['index'];\n    },\n    getOptionLabel: function getOptionLabel(option) {\n      return this.optionLabel ? resolveFieldData(option, this.optionLabel) : option;\n    },\n    getOptionValue: function getOptionValue(option) {\n      return option; // TODO: The 'optionValue' properties can be added.\n    },\n    getOptionRenderKey: function getOptionRenderKey(option, index) {\n      return (this.dataKey ? resolveFieldData(option, this.dataKey) : this.getOptionLabel(option)) + '_' + index;\n    },\n    getPTOptions: function getPTOptions(option, itemOptions, index, key) {\n      return this.ptm(key, {\n        context: {\n          selected: this.isSelected(option),\n          focused: this.focusedOptionIndex === this.getOptionIndex(index, itemOptions),\n          disabled: this.isOptionDisabled(option)\n        }\n      });\n    },\n    isOptionDisabled: function isOptionDisabled(option) {\n      return this.optionDisabled ? resolveFieldData(option, this.optionDisabled) : false;\n    },\n    isOptionGroup: function isOptionGroup(option) {\n      return this.optionGroupLabel && option.optionGroup && option.group;\n    },\n    getOptionGroupLabel: function getOptionGroupLabel(optionGroup) {\n      return resolveFieldData(optionGroup, this.optionGroupLabel);\n    },\n    getOptionGroupChildren: function getOptionGroupChildren(optionGroup) {\n      return resolveFieldData(optionGroup, this.optionGroupChildren);\n    },\n    getAriaPosInset: function getAriaPosInset(index) {\n      var _this = this;\n      return (this.optionGroupLabel ? index - this.visibleOptions.slice(0, index).filter(function (option) {\n        return _this.isOptionGroup(option);\n      }).length : index) + 1;\n    },\n    show: function show(isFocus) {\n      this.$emit('before-show');\n      this.dirty = true;\n      this.overlayVisible = true;\n      this.focusedOptionIndex = this.focusedOptionIndex !== -1 ? this.focusedOptionIndex : this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : -1;\n      isFocus && focus(this.multiple ? this.$refs.focusInput : this.$refs.focusInput.$el);\n    },\n    hide: function hide(isFocus) {\n      var _this2 = this;\n      var _hide = function _hide() {\n        _this2.$emit('before-hide');\n        _this2.dirty = isFocus;\n        _this2.overlayVisible = false;\n        _this2.clicked = false;\n        _this2.focusedOptionIndex = -1;\n        isFocus && focus(_this2.multiple ? _this2.$refs.focusInput : _this2.$refs.focusInput.$el);\n      };\n      setTimeout(function () {\n        _hide();\n      }, 0); // For ScreenReaders\n    },\n    onFocus: function onFocus(event) {\n      if (this.disabled) {\n        // For ScreenReaders\n        return;\n      }\n      if (!this.dirty && this.completeOnFocus) {\n        this.search(event, event.target.value, 'focus');\n      }\n      this.dirty = true;\n      this.focused = true;\n      if (this.overlayVisible) {\n        this.focusedOptionIndex = this.focusedOptionIndex !== -1 ? this.focusedOptionIndex : this.overlayVisible && this.autoOptionFocus ? this.findFirstFocusedOptionIndex() : -1;\n        this.scrollInView(this.focusedOptionIndex);\n      }\n      this.$emit('focus', event);\n    },\n    onBlur: function onBlur(event) {\n      this.dirty = false;\n      this.focused = false;\n      this.focusedOptionIndex = -1;\n      this.$emit('blur', event);\n    },\n    onKeyDown: function onKeyDown(event) {\n      if (this.disabled) {\n        event.preventDefault();\n        return;\n      }\n      switch (event.code) {\n        case 'ArrowDown':\n          this.onArrowDownKey(event);\n          break;\n        case 'ArrowUp':\n          this.onArrowUpKey(event);\n          break;\n        case 'ArrowLeft':\n          this.onArrowLeftKey(event);\n          break;\n        case 'ArrowRight':\n          this.onArrowRightKey(event);\n          break;\n        case 'Home':\n          this.onHomeKey(event);\n          break;\n        case 'End':\n          this.onEndKey(event);\n          break;\n        case 'PageDown':\n          this.onPageDownKey(event);\n          break;\n        case 'PageUp':\n          this.onPageUpKey(event);\n          break;\n        case 'Enter':\n        case 'NumpadEnter':\n          this.onEnterKey(event);\n          break;\n        case 'Escape':\n          this.onEscapeKey(event);\n          break;\n        case 'Tab':\n          this.onTabKey(event);\n          break;\n        case 'Backspace':\n          this.onBackspaceKey(event);\n          break;\n      }\n      this.clicked = false;\n    },\n    onInput: function onInput(event) {\n      var _this3 = this;\n      if (this.typeahead) {\n        if (this.searchTimeout) {\n          clearTimeout(this.searchTimeout);\n        }\n        var query = event.target.value;\n        if (!this.multiple) {\n          this.updateModel(event, query);\n        }\n        if (query.length === 0) {\n          this.hide();\n          this.$emit('clear');\n        } else {\n          if (query.length >= this.minLength) {\n            this.focusedOptionIndex = -1;\n            this.searchTimeout = setTimeout(function () {\n              _this3.search(event, query, 'input');\n            }, this.delay);\n          } else {\n            this.hide();\n          }\n        }\n      }\n    },\n    onChange: function onChange(event) {\n      var _this4 = this;\n      if (this.forceSelection) {\n        var valid = false;\n\n        // when forceSelection is on, prevent called twice onOptionSelect()\n        if (this.visibleOptions && !this.multiple) {\n          var value = this.multiple ? this.$refs.focusInput.value : this.$refs.focusInput.$el.value;\n          var matchedValue = this.visibleOptions.find(function (option) {\n            return _this4.isOptionMatched(option, value || '');\n          });\n          if (matchedValue !== undefined) {\n            valid = true;\n            !this.isSelected(matchedValue) && this.onOptionSelect(event, matchedValue);\n          }\n        }\n        if (!valid) {\n          if (this.multiple) this.$refs.focusInput.value = '';else this.$refs.focusInput.$el.value = '';\n          this.$emit('clear');\n          !this.multiple && this.updateModel(event, null);\n        }\n      }\n    },\n    onMultipleContainerFocus: function onMultipleContainerFocus() {\n      if (this.disabled) {\n        // For ScreenReaders\n        return;\n      }\n      this.focused = true;\n    },\n    onMultipleContainerBlur: function onMultipleContainerBlur() {\n      this.focusedMultipleOptionIndex = -1;\n      this.focused = false;\n    },\n    onMultipleContainerKeyDown: function onMultipleContainerKeyDown(event) {\n      if (this.disabled) {\n        event.preventDefault();\n        return;\n      }\n      switch (event.code) {\n        case 'ArrowLeft':\n          this.onArrowLeftKeyOnMultiple(event);\n          break;\n        case 'ArrowRight':\n          this.onArrowRightKeyOnMultiple(event);\n          break;\n        case 'Backspace':\n          this.onBackspaceKeyOnMultiple(event);\n          break;\n      }\n    },\n    onContainerClick: function onContainerClick(event) {\n      this.clicked = true;\n      if (this.disabled || this.searching || this.loading || this.isInputClicked(event) || this.isDropdownClicked(event)) {\n        return;\n      }\n      if (!this.overlay || !this.overlay.contains(event.target)) {\n        focus(this.multiple ? this.$refs.focusInput : this.$refs.focusInput.$el);\n      }\n    },\n    onDropdownClick: function onDropdownClick(event) {\n      var query = undefined;\n      if (this.overlayVisible) {\n        this.hide(true);\n      } else {\n        focus(this.multiple ? this.$refs.focusInput : this.$refs.focusInput.$el);\n        query = this.$refs.focusInput.$el.value;\n        if (this.dropdownMode === 'blank') this.search(event, '', 'dropdown');else if (this.dropdownMode === 'current') this.search(event, query, 'dropdown');\n      }\n      this.$emit('dropdown-click', {\n        originalEvent: event,\n        query: query\n      });\n    },\n    onOptionSelect: function onOptionSelect(event, option) {\n      var isHide = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : true;\n      var value = this.getOptionValue(option);\n      if (this.multiple) {\n        this.$refs.focusInput.value = '';\n        if (!this.isSelected(option)) {\n          this.updateModel(event, [].concat(_toConsumableArray(this.modelValue || []), [value]));\n        }\n      } else {\n        this.updateModel(event, value);\n      }\n      this.$emit('item-select', {\n        originalEvent: event,\n        value: option\n      });\n      this.$emit('option-select', {\n        originalEvent: event,\n        value: option\n      });\n      isHide && this.hide(true);\n    },\n    onOptionMouseMove: function onOptionMouseMove(event, index) {\n      if (this.focusOnHover) {\n        this.changeFocusedOptionIndex(event, index);\n      }\n    },\n    onOverlayClick: function onOverlayClick(event) {\n      OverlayEventBus.emit('overlay-click', {\n        originalEvent: event,\n        target: this.$el\n      });\n    },\n    onOverlayKeyDown: function onOverlayKeyDown(event) {\n      switch (event.code) {\n        case 'Escape':\n          this.onEscapeKey(event);\n          break;\n      }\n    },\n    onArrowDownKey: function onArrowDownKey(event) {\n      if (!this.overlayVisible) {\n        return;\n      }\n      var optionIndex = this.focusedOptionIndex !== -1 ? this.findNextOptionIndex(this.focusedOptionIndex) : this.clicked ? this.findFirstOptionIndex() : this.findFirstFocusedOptionIndex();\n      this.changeFocusedOptionIndex(event, optionIndex);\n      event.preventDefault();\n    },\n    onArrowUpKey: function onArrowUpKey(event) {\n      if (!this.overlayVisible) {\n        return;\n      }\n      if (event.altKey) {\n        if (this.focusedOptionIndex !== -1) {\n          this.onOptionSelect(event, this.visibleOptions[this.focusedOptionIndex]);\n        }\n        this.overlayVisible && this.hide();\n        event.preventDefault();\n      } else {\n        var optionIndex = this.focusedOptionIndex !== -1 ? this.findPrevOptionIndex(this.focusedOptionIndex) : this.clicked ? this.findLastOptionIndex() : this.findLastFocusedOptionIndex();\n        this.changeFocusedOptionIndex(event, optionIndex);\n        event.preventDefault();\n      }\n    },\n    onArrowLeftKey: function onArrowLeftKey(event) {\n      var target = event.currentTarget;\n      this.focusedOptionIndex = -1;\n      if (this.multiple) {\n        if (isEmpty(target.value) && this.hasSelectedOption) {\n          focus(this.$refs.multiContainer);\n          this.focusedMultipleOptionIndex = this.modelValue.length;\n        } else {\n          event.stopPropagation(); // To prevent onArrowLeftKeyOnMultiple method\n        }\n      }\n    },\n    onArrowRightKey: function onArrowRightKey(event) {\n      this.focusedOptionIndex = -1;\n      this.multiple && event.stopPropagation(); // To prevent onArrowRightKeyOnMultiple method\n    },\n    onHomeKey: function onHomeKey(event) {\n      var currentTarget = event.currentTarget;\n      var len = currentTarget.value.length;\n      currentTarget.setSelectionRange(0, event.shiftKey ? len : 0);\n      this.focusedOptionIndex = -1;\n      event.preventDefault();\n    },\n    onEndKey: function onEndKey(event) {\n      var currentTarget = event.currentTarget;\n      var len = currentTarget.value.length;\n      currentTarget.setSelectionRange(event.shiftKey ? 0 : len, len);\n      this.focusedOptionIndex = -1;\n      event.preventDefault();\n    },\n    onPageUpKey: function onPageUpKey(event) {\n      this.scrollInView(0);\n      event.preventDefault();\n    },\n    onPageDownKey: function onPageDownKey(event) {\n      this.scrollInView(this.visibleOptions.length - 1);\n      event.preventDefault();\n    },\n    onEnterKey: function onEnterKey(event) {\n      if (!this.typeahead) {\n        if (this.multiple) {\n          this.updateModel(event, [].concat(_toConsumableArray(this.modelValue || []), [event.target.value]));\n          this.$refs.focusInput.value = '';\n        }\n      } else {\n        if (!this.overlayVisible) {\n          this.focusedOptionIndex = -1; // reset\n          this.onArrowDownKey(event);\n        } else {\n          if (this.focusedOptionIndex !== -1) {\n            this.onOptionSelect(event, this.visibleOptions[this.focusedOptionIndex]);\n          }\n          this.hide();\n        }\n      }\n    },\n    onEscapeKey: function onEscapeKey(event) {\n      this.overlayVisible && this.hide(true);\n      event.preventDefault();\n    },\n    onTabKey: function onTabKey(event) {\n      if (this.focusedOptionIndex !== -1) {\n        this.onOptionSelect(event, this.visibleOptions[this.focusedOptionIndex]);\n      }\n      this.overlayVisible && this.hide();\n    },\n    onBackspaceKey: function onBackspaceKey(event) {\n      if (this.multiple) {\n        if (isNotEmpty(this.modelValue) && !this.$refs.focusInput.value) {\n          var removedValue = this.modelValue[this.modelValue.length - 1];\n          var newValue = this.modelValue.slice(0, -1);\n          this.$emit('update:modelValue', newValue);\n          this.$emit('item-unselect', {\n            originalEvent: event,\n            value: removedValue\n          });\n          this.$emit('option-unselect', {\n            originalEvent: event,\n            value: removedValue\n          });\n        }\n        event.stopPropagation(); // To prevent onBackspaceKeyOnMultiple method\n      }\n    },\n    onArrowLeftKeyOnMultiple: function onArrowLeftKeyOnMultiple() {\n      this.focusedMultipleOptionIndex = this.focusedMultipleOptionIndex < 1 ? 0 : this.focusedMultipleOptionIndex - 1;\n    },\n    onArrowRightKeyOnMultiple: function onArrowRightKeyOnMultiple() {\n      this.focusedMultipleOptionIndex++;\n      if (this.focusedMultipleOptionIndex > this.modelValue.length - 1) {\n        this.focusedMultipleOptionIndex = -1;\n        focus(this.$refs.focusInput);\n      }\n    },\n    onBackspaceKeyOnMultiple: function onBackspaceKeyOnMultiple(event) {\n      if (this.focusedMultipleOptionIndex !== -1) {\n        this.removeOption(event, this.focusedMultipleOptionIndex);\n      }\n    },\n    onOverlayEnter: function onOverlayEnter(el) {\n      ZIndex.set('overlay', el, this.$primevue.config.zIndex.overlay);\n      addStyle(el, {\n        position: 'absolute',\n        top: '0',\n        left: '0'\n      });\n      this.alignOverlay();\n    },\n    onOverlayAfterEnter: function onOverlayAfterEnter() {\n      this.bindOutsideClickListener();\n      this.bindScrollListener();\n      this.bindResizeListener();\n      this.$emit('show');\n    },\n    onOverlayLeave: function onOverlayLeave() {\n      this.unbindOutsideClickListener();\n      this.unbindScrollListener();\n      this.unbindResizeListener();\n      this.$emit('hide');\n      this.overlay = null;\n    },\n    onOverlayAfterLeave: function onOverlayAfterLeave(el) {\n      ZIndex.clear(el);\n    },\n    alignOverlay: function alignOverlay() {\n      var target = this.multiple ? this.$refs.multiContainer : this.$refs.focusInput.$el;\n      if (this.appendTo === 'self') {\n        relativePosition(this.overlay, target);\n      } else {\n        this.overlay.style.minWidth = getOuterWidth(target) + 'px';\n        absolutePosition(this.overlay, target);\n      }\n    },\n    bindOutsideClickListener: function bindOutsideClickListener() {\n      var _this5 = this;\n      if (!this.outsideClickListener) {\n        this.outsideClickListener = function (event) {\n          if (_this5.overlayVisible && _this5.overlay && _this5.isOutsideClicked(event)) {\n            _this5.hide();\n          }\n        };\n        document.addEventListener('click', this.outsideClickListener);\n      }\n    },\n    unbindOutsideClickListener: function unbindOutsideClickListener() {\n      if (this.outsideClickListener) {\n        document.removeEventListener('click', this.outsideClickListener);\n        this.outsideClickListener = null;\n      }\n    },\n    bindScrollListener: function bindScrollListener() {\n      var _this6 = this;\n      if (!this.scrollHandler) {\n        this.scrollHandler = new ConnectedOverlayScrollHandler(this.$refs.container, function () {\n          if (_this6.overlayVisible) {\n            _this6.hide();\n          }\n        });\n      }\n      this.scrollHandler.bindScrollListener();\n    },\n    unbindScrollListener: function unbindScrollListener() {\n      if (this.scrollHandler) {\n        this.scrollHandler.unbindScrollListener();\n      }\n    },\n    bindResizeListener: function bindResizeListener() {\n      var _this7 = this;\n      if (!this.resizeListener) {\n        this.resizeListener = function () {\n          if (_this7.overlayVisible && !isTouchDevice()) {\n            _this7.hide();\n          }\n        };\n        window.addEventListener('resize', this.resizeListener);\n      }\n    },\n    unbindResizeListener: function unbindResizeListener() {\n      if (this.resizeListener) {\n        window.removeEventListener('resize', this.resizeListener);\n        this.resizeListener = null;\n      }\n    },\n    isOutsideClicked: function isOutsideClicked(event) {\n      return !this.overlay.contains(event.target) && !this.isInputClicked(event) && !this.isDropdownClicked(event);\n    },\n    isInputClicked: function isInputClicked(event) {\n      if (this.multiple) return event.target === this.$refs.multiContainer || this.$refs.multiContainer.contains(event.target);else return event.target === this.$refs.focusInput.$el;\n    },\n    isDropdownClicked: function isDropdownClicked(event) {\n      return this.$refs.dropdownButton ? event.target === this.$refs.dropdownButton || this.$refs.dropdownButton.contains(event.target) : false;\n    },\n    isOptionMatched: function isOptionMatched(option, value) {\n      var _this$getOptionLabel;\n      return this.isValidOption(option) && ((_this$getOptionLabel = this.getOptionLabel(option)) === null || _this$getOptionLabel === void 0 ? void 0 : _this$getOptionLabel.toLocaleLowerCase(this.searchLocale)) === value.toLocaleLowerCase(this.searchLocale);\n    },\n    isValidOption: function isValidOption(option) {\n      return isNotEmpty(option) && !(this.isOptionDisabled(option) || this.isOptionGroup(option));\n    },\n    isValidSelectedOption: function isValidSelectedOption(option) {\n      return this.isValidOption(option) && this.isSelected(option);\n    },\n    isEquals: function isEquals(value1, value2) {\n      return equals(value1, value2, this.equalityKey);\n    },\n    isSelected: function isSelected(option) {\n      var _this8 = this;\n      var optionValue = this.getOptionValue(option);\n      return this.multiple ? (this.modelValue || []).some(function (value) {\n        return _this8.isEquals(value, optionValue);\n      }) : this.isEquals(this.modelValue, this.getOptionValue(option));\n    },\n    findFirstOptionIndex: function findFirstOptionIndex() {\n      var _this9 = this;\n      return this.visibleOptions.findIndex(function (option) {\n        return _this9.isValidOption(option);\n      });\n    },\n    findLastOptionIndex: function findLastOptionIndex() {\n      var _this10 = this;\n      return findLastIndex(this.visibleOptions, function (option) {\n        return _this10.isValidOption(option);\n      });\n    },\n    findNextOptionIndex: function findNextOptionIndex(index) {\n      var _this11 = this;\n      var matchedOptionIndex = index < this.visibleOptions.length - 1 ? this.visibleOptions.slice(index + 1).findIndex(function (option) {\n        return _this11.isValidOption(option);\n      }) : -1;\n      return matchedOptionIndex > -1 ? matchedOptionIndex + index + 1 : index;\n    },\n    findPrevOptionIndex: function findPrevOptionIndex(index) {\n      var _this12 = this;\n      var matchedOptionIndex = index > 0 ? findLastIndex(this.visibleOptions.slice(0, index), function (option) {\n        return _this12.isValidOption(option);\n      }) : -1;\n      return matchedOptionIndex > -1 ? matchedOptionIndex : index;\n    },\n    findSelectedOptionIndex: function findSelectedOptionIndex() {\n      var _this13 = this;\n      return this.hasSelectedOption ? this.visibleOptions.findIndex(function (option) {\n        return _this13.isValidSelectedOption(option);\n      }) : -1;\n    },\n    findFirstFocusedOptionIndex: function findFirstFocusedOptionIndex() {\n      var selectedIndex = this.findSelectedOptionIndex();\n      return selectedIndex < 0 ? this.findFirstOptionIndex() : selectedIndex;\n    },\n    findLastFocusedOptionIndex: function findLastFocusedOptionIndex() {\n      var selectedIndex = this.findSelectedOptionIndex();\n      return selectedIndex < 0 ? this.findLastOptionIndex() : selectedIndex;\n    },\n    search: function search(event, query, source) {\n      //allow empty string but not undefined or null\n      if (query === undefined || query === null) {\n        return;\n      }\n\n      //do not search blank values on input change\n      if (source === 'input' && query.trim().length === 0) {\n        return;\n      }\n      this.searching = true;\n      this.$emit('complete', {\n        originalEvent: event,\n        query: query\n      });\n    },\n    removeOption: function removeOption(event, index) {\n      var _this14 = this;\n      var removedOption = this.modelValue[index];\n      var value = this.modelValue.filter(function (_, i) {\n        return i !== index;\n      }).map(function (option) {\n        return _this14.getOptionValue(option);\n      });\n      this.updateModel(event, value);\n      this.$emit('item-unselect', {\n        originalEvent: event,\n        value: removedOption\n      });\n      this.$emit('option-unselect', {\n        originalEvent: event,\n        value: removedOption\n      });\n      this.dirty = true;\n      focus(this.multiple ? this.$refs.focusInput : this.$refs.focusInput.$el);\n    },\n    changeFocusedOptionIndex: function changeFocusedOptionIndex(event, index) {\n      if (this.focusedOptionIndex !== index) {\n        this.focusedOptionIndex = index;\n        this.scrollInView();\n        if (this.selectOnFocus) {\n          this.onOptionSelect(event, this.visibleOptions[index], false);\n        }\n      }\n    },\n    scrollInView: function scrollInView() {\n      var _this15 = this;\n      var index = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : -1;\n      this.$nextTick(function () {\n        var id = index !== -1 ? \"\".concat(_this15.id, \"_\").concat(index) : _this15.focusedOptionId;\n        var element = findSingle(_this15.list, \"li[id=\\\"\".concat(id, \"\\\"]\"));\n        if (element) {\n          element.scrollIntoView && element.scrollIntoView({\n            block: 'nearest',\n            inline: 'start'\n          });\n        } else if (!_this15.virtualScrollerDisabled) {\n          _this15.virtualScroller && _this15.virtualScroller.scrollToIndex(index !== -1 ? index : _this15.focusedOptionIndex);\n        }\n      });\n    },\n    autoUpdateModel: function autoUpdateModel() {\n      if (this.selectOnFocus && this.autoOptionFocus && !this.hasSelectedOption) {\n        this.focusedOptionIndex = this.findFirstFocusedOptionIndex();\n        this.onOptionSelect(null, this.visibleOptions[this.focusedOptionIndex], false);\n      }\n    },\n    updateModel: function updateModel(event, value) {\n      this.$emit('update:modelValue', value);\n      this.$emit('change', {\n        originalEvent: event,\n        value: value\n      });\n    },\n    flatOptions: function flatOptions(options) {\n      var _this16 = this;\n      return (options || []).reduce(function (result, option, index) {\n        result.push({\n          optionGroup: option,\n          group: true,\n          index: index\n        });\n        var optionGroupChildren = _this16.getOptionGroupChildren(option);\n        optionGroupChildren && optionGroupChildren.forEach(function (o) {\n          return result.push(o);\n        });\n        return result;\n      }, []);\n    },\n    overlayRef: function overlayRef(el) {\n      this.overlay = el;\n    },\n    listRef: function listRef(el, contentRef) {\n      this.list = el;\n      contentRef && contentRef(el); // For VirtualScroller\n    },\n    virtualScrollerRef: function virtualScrollerRef(el) {\n      this.virtualScroller = el;\n    }\n  },\n  computed: {\n    visibleOptions: function visibleOptions() {\n      return this.optionGroupLabel ? this.flatOptions(this.suggestions) : this.suggestions || [];\n    },\n    inputValue: function inputValue() {\n      if (isNotEmpty(this.modelValue)) {\n        if (_typeof$1(this.modelValue) === 'object') {\n          var label = this.getOptionLabel(this.modelValue);\n          return label != null ? label : this.modelValue;\n        } else {\n          return this.modelValue;\n        }\n      } else {\n        return '';\n      }\n    },\n    hasSelectedOption: function hasSelectedOption() {\n      return isNotEmpty(this.modelValue);\n    },\n    equalityKey: function equalityKey() {\n      return this.dataKey; // TODO: The 'optionValue' properties can be added.\n    },\n    searchResultMessageText: function searchResultMessageText() {\n      return isNotEmpty(this.visibleOptions) && this.overlayVisible ? this.searchMessageText.replaceAll('{0}', this.visibleOptions.length) : this.emptySearchMessageText;\n    },\n    searchMessageText: function searchMessageText() {\n      return this.searchMessage || this.$primevue.config.locale.searchMessage || '';\n    },\n    emptySearchMessageText: function emptySearchMessageText() {\n      return this.emptySearchMessage || this.$primevue.config.locale.emptySearchMessage || '';\n    },\n    selectionMessageText: function selectionMessageText() {\n      return this.selectionMessage || this.$primevue.config.locale.selectionMessage || '';\n    },\n    emptySelectionMessageText: function emptySelectionMessageText() {\n      return this.emptySelectionMessage || this.$primevue.config.locale.emptySelectionMessage || '';\n    },\n    selectedMessageText: function selectedMessageText() {\n      return this.hasSelectedOption ? this.selectionMessageText.replaceAll('{0}', this.multiple ? this.modelValue.length : '1') : this.emptySelectionMessageText;\n    },\n    listAriaLabel: function listAriaLabel() {\n      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.listLabel : undefined;\n    },\n    focusedOptionId: function focusedOptionId() {\n      return this.focusedOptionIndex !== -1 ? \"\".concat(this.id, \"_\").concat(this.focusedOptionIndex) : null;\n    },\n    focusedMultipleOptionId: function focusedMultipleOptionId() {\n      return this.focusedMultipleOptionIndex !== -1 ? \"\".concat(this.id, \"_multiple_option_\").concat(this.focusedMultipleOptionIndex) : null;\n    },\n    ariaSetSize: function ariaSetSize() {\n      var _this17 = this;\n      return this.visibleOptions.filter(function (option) {\n        return !_this17.isOptionGroup(option);\n      }).length;\n    },\n    virtualScrollerDisabled: function virtualScrollerDisabled() {\n      return !this.virtualScrollerOptions;\n    },\n    panelId: function panelId() {\n      return this.id + '_panel';\n    }\n  },\n  components: {\n    InputText: InputText,\n    VirtualScroller: VirtualScroller,\n    Portal: Portal,\n    ChevronDownIcon: ChevronDownIcon,\n    SpinnerIcon: SpinnerIcon,\n    Chip: Chip\n  },\n  directives: {\n    ripple: Ripple\n  }\n};\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar _hoisted_1 = [\"aria-activedescendant\"];\nvar _hoisted_2 = [\"id\", \"aria-label\", \"aria-setsize\", \"aria-posinset\"];\nvar _hoisted_3 = [\"id\", \"placeholder\", \"tabindex\", \"disabled\", \"aria-label\", \"aria-labelledby\", \"aria-expanded\", \"aria-controls\", \"aria-activedescendant\", \"aria-invalid\"];\nvar _hoisted_4 = [\"disabled\", \"aria-expanded\", \"aria-controls\"];\nvar _hoisted_5 = [\"id\"];\nvar _hoisted_6 = [\"id\", \"aria-label\"];\nvar _hoisted_7 = [\"id\"];\nvar _hoisted_8 = [\"id\", \"aria-label\", \"aria-selected\", \"aria-disabled\", \"aria-setsize\", \"aria-posinset\", \"onClick\", \"onMousemove\", \"data-p-selected\", \"data-p-focus\", \"data-p-disabled\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_InputText = resolveComponent(\"InputText\");\n  var _component_Chip = resolveComponent(\"Chip\");\n  var _component_SpinnerIcon = resolveComponent(\"SpinnerIcon\");\n  var _component_VirtualScroller = resolveComponent(\"VirtualScroller\");\n  var _component_Portal = resolveComponent(\"Portal\");\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    ref: \"container\",\n    \"class\": _ctx.cx('root'),\n    style: _ctx.sx('root'),\n    onClick: _cache[11] || (_cache[11] = function () {\n      return $options.onContainerClick && $options.onContainerClick.apply($options, arguments);\n    })\n  }, _ctx.ptmi('root')), [!_ctx.multiple ? (openBlock(), createBlock(_component_InputText, {\n    key: 0,\n    ref: \"focusInput\",\n    id: _ctx.inputId,\n    type: \"text\",\n    \"class\": normalizeClass([_ctx.cx('pcInput'), _ctx.inputClass]),\n    style: normalizeStyle(_ctx.inputStyle),\n    value: $options.inputValue,\n    placeholder: _ctx.placeholder,\n    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,\n    disabled: _ctx.disabled,\n    invalid: _ctx.invalid,\n    variant: _ctx.variant,\n    autocomplete: \"off\",\n    role: \"combobox\",\n    \"aria-label\": _ctx.ariaLabel,\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-haspopup\": \"listbox\",\n    \"aria-autocomplete\": \"list\",\n    \"aria-expanded\": $data.overlayVisible,\n    \"aria-controls\": $options.panelId,\n    \"aria-activedescendant\": $data.focused ? $options.focusedOptionId : undefined,\n    onFocus: $options.onFocus,\n    onBlur: $options.onBlur,\n    onKeydown: $options.onKeyDown,\n    onInput: $options.onInput,\n    onChange: $options.onChange,\n    unstyled: _ctx.unstyled,\n    pt: _ctx.ptm('pcInput')\n  }, null, 8, [\"id\", \"class\", \"style\", \"value\", \"placeholder\", \"tabindex\", \"disabled\", \"invalid\", \"variant\", \"aria-label\", \"aria-labelledby\", \"aria-expanded\", \"aria-controls\", \"aria-activedescendant\", \"onFocus\", \"onBlur\", \"onKeydown\", \"onInput\", \"onChange\", \"unstyled\", \"pt\"])) : createCommentVNode(\"\", true), _ctx.multiple ? (openBlock(), createElementBlock(\"ul\", mergeProps({\n    key: 1,\n    ref: \"multiContainer\",\n    \"class\": _ctx.cx('inputMultiple'),\n    tabindex: \"-1\",\n    role: \"listbox\",\n    \"aria-orientation\": \"horizontal\",\n    \"aria-activedescendant\": $data.focused ? $options.focusedMultipleOptionId : undefined,\n    onFocus: _cache[5] || (_cache[5] = function () {\n      return $options.onMultipleContainerFocus && $options.onMultipleContainerFocus.apply($options, arguments);\n    }),\n    onBlur: _cache[6] || (_cache[6] = function () {\n      return $options.onMultipleContainerBlur && $options.onMultipleContainerBlur.apply($options, arguments);\n    }),\n    onKeydown: _cache[7] || (_cache[7] = function () {\n      return $options.onMultipleContainerKeyDown && $options.onMultipleContainerKeyDown.apply($options, arguments);\n    })\n  }, _ctx.ptm('inputMultiple')), [(openBlock(true), createElementBlock(Fragment, null, renderList(_ctx.modelValue, function (option, i) {\n    return openBlock(), createElementBlock(\"li\", mergeProps({\n      key: \"\".concat(i, \"_\").concat($options.getOptionLabel(option)),\n      id: $data.id + '_multiple_option_' + i,\n      \"class\": _ctx.cx('chipItem', {\n        i: i\n      }),\n      role: \"option\",\n      \"aria-label\": $options.getOptionLabel(option),\n      \"aria-selected\": true,\n      \"aria-setsize\": _ctx.modelValue.length,\n      \"aria-posinset\": i + 1,\n      ref_for: true\n    }, _ctx.ptm('chipItem')), [renderSlot(_ctx.$slots, \"chip\", mergeProps({\n      \"class\": _ctx.cx('pcChip'),\n      value: option,\n      index: i,\n      removeCallback: function removeCallback(event) {\n        return $options.removeOption(event, i);\n      },\n      ref_for: true\n    }, _ctx.ptm('pcChip')), function () {\n      return [createVNode(_component_Chip, {\n        \"class\": normalizeClass(_ctx.cx('pcChip')),\n        label: $options.getOptionLabel(option),\n        removeIcon: _ctx.chipIcon || _ctx.removeTokenIcon,\n        removable: \"\",\n        unstyled: _ctx.unstyled,\n        onRemove: function onRemove($event) {\n          return $options.removeOption($event, i);\n        },\n        pt: _ctx.ptm('pcChip')\n      }, {\n        removeicon: withCtx(function () {\n          return [renderSlot(_ctx.$slots, _ctx.$slots.chipicon ? 'chipicon' : 'removetokenicon', {\n            \"class\": normalizeClass(_ctx.cx('chipIcon')),\n            index: i,\n            removeCallback: function removeCallback(event) {\n              return $options.removeOption(event, i);\n            }\n          })];\n        }),\n        _: 2\n      }, 1032, [\"class\", \"label\", \"removeIcon\", \"unstyled\", \"onRemove\", \"pt\"])];\n    })], 16, _hoisted_2);\n  }), 128)), createElementVNode(\"li\", mergeProps({\n    \"class\": _ctx.cx('inputChip'),\n    role: \"option\"\n  }, _ctx.ptm('inputChip')), [createElementVNode(\"input\", mergeProps({\n    ref: \"focusInput\",\n    id: _ctx.inputId,\n    type: \"text\",\n    style: _ctx.inputStyle,\n    \"class\": _ctx.inputClass,\n    placeholder: _ctx.placeholder,\n    tabindex: !_ctx.disabled ? _ctx.tabindex : -1,\n    disabled: _ctx.disabled,\n    autocomplete: \"off\",\n    role: \"combobox\",\n    \"aria-label\": _ctx.ariaLabel,\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-haspopup\": \"listbox\",\n    \"aria-autocomplete\": \"list\",\n    \"aria-expanded\": $data.overlayVisible,\n    \"aria-controls\": $data.id + '_list',\n    \"aria-activedescendant\": $data.focused ? $options.focusedOptionId : undefined,\n    \"aria-invalid\": _ctx.invalid || undefined,\n    onFocus: _cache[0] || (_cache[0] = function () {\n      return $options.onFocus && $options.onFocus.apply($options, arguments);\n    }),\n    onBlur: _cache[1] || (_cache[1] = function () {\n      return $options.onBlur && $options.onBlur.apply($options, arguments);\n    }),\n    onKeydown: _cache[2] || (_cache[2] = function () {\n      return $options.onKeyDown && $options.onKeyDown.apply($options, arguments);\n    }),\n    onInput: _cache[3] || (_cache[3] = function () {\n      return $options.onInput && $options.onInput.apply($options, arguments);\n    }),\n    onChange: _cache[4] || (_cache[4] = function () {\n      return $options.onChange && $options.onChange.apply($options, arguments);\n    })\n  }, _ctx.ptm('input')), null, 16, _hoisted_3)], 16)], 16, _hoisted_1)) : createCommentVNode(\"\", true), $data.searching || _ctx.loading ? renderSlot(_ctx.$slots, _ctx.$slots.loader ? 'loader' : 'loadingicon', {\n    key: 2,\n    \"class\": normalizeClass(_ctx.cx('loader'))\n  }, function () {\n    return [_ctx.loader || _ctx.loadingIcon ? (openBlock(), createElementBlock(\"i\", mergeProps({\n      key: 0,\n      \"class\": ['pi-spin', _ctx.cx('loader'), _ctx.loader, _ctx.loadingIcon],\n      \"aria-hidden\": \"true\"\n    }, _ctx.ptm('loader')), null, 16)) : (openBlock(), createBlock(_component_SpinnerIcon, mergeProps({\n      key: 1,\n      \"class\": _ctx.cx('loader'),\n      spin: \"\",\n      \"aria-hidden\": \"true\"\n    }, _ctx.ptm('loader')), null, 16, [\"class\"]))];\n  }) : createCommentVNode(\"\", true), renderSlot(_ctx.$slots, _ctx.$slots.dropdown ? 'dropdown' : 'dropdownbutton', {\n    toggleCallback: function toggleCallback(event) {\n      return $options.onDropdownClick(event);\n    }\n  }, function () {\n    return [_ctx.dropdown ? (openBlock(), createElementBlock(\"button\", mergeProps({\n      key: 0,\n      ref: \"dropdownButton\",\n      type: \"button\",\n      \"class\": [_ctx.cx('dropdown'), _ctx.dropdownClass],\n      disabled: _ctx.disabled,\n      \"aria-haspopup\": \"listbox\",\n      \"aria-expanded\": $data.overlayVisible,\n      \"aria-controls\": $options.panelId,\n      onClick: _cache[8] || (_cache[8] = function () {\n        return $options.onDropdownClick && $options.onDropdownClick.apply($options, arguments);\n      })\n    }, _ctx.ptm('dropdown')), [renderSlot(_ctx.$slots, \"dropdownicon\", {\n      \"class\": normalizeClass(_ctx.dropdownIcon)\n    }, function () {\n      return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.dropdownIcon ? 'span' : 'ChevronDownIcon'), mergeProps({\n        \"class\": _ctx.dropdownIcon\n      }, _ctx.ptm('dropdownIcon')), null, 16, [\"class\"]))];\n    })], 16, _hoisted_4)) : createCommentVNode(\"\", true)];\n  }), createElementVNode(\"span\", mergeProps({\n    role: \"status\",\n    \"aria-live\": \"polite\",\n    \"class\": \"p-hidden-accessible\"\n  }, _ctx.ptm('hiddenSearchResult'), {\n    \"data-p-hidden-accessible\": true\n  }), toDisplayString($options.searchResultMessageText), 17), createVNode(_component_Portal, {\n    appendTo: _ctx.appendTo\n  }, {\n    \"default\": withCtx(function () {\n      return [createVNode(Transition, mergeProps({\n        name: \"p-connected-overlay\",\n        onEnter: $options.onOverlayEnter,\n        onAfterEnter: $options.onOverlayAfterEnter,\n        onLeave: $options.onOverlayLeave,\n        onAfterLeave: $options.onOverlayAfterLeave\n      }, _ctx.ptm('transition')), {\n        \"default\": withCtx(function () {\n          return [$data.overlayVisible ? (openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 0,\n            ref: $options.overlayRef,\n            id: $options.panelId,\n            \"class\": [_ctx.cx('overlay'), _ctx.panelClass, _ctx.overlayClass],\n            style: _objectSpread(_objectSpread(_objectSpread({}, _ctx.panelStyle), _ctx.overlayStyle), {}, {\n              'max-height': $options.virtualScrollerDisabled ? _ctx.scrollHeight : ''\n            }),\n            onClick: _cache[9] || (_cache[9] = function () {\n              return $options.onOverlayClick && $options.onOverlayClick.apply($options, arguments);\n            }),\n            onKeydown: _cache[10] || (_cache[10] = function () {\n              return $options.onOverlayKeyDown && $options.onOverlayKeyDown.apply($options, arguments);\n            })\n          }, _ctx.ptm('overlay')), [renderSlot(_ctx.$slots, \"header\", {\n            value: _ctx.modelValue,\n            suggestions: $options.visibleOptions\n          }), createVNode(_component_VirtualScroller, mergeProps({\n            ref: $options.virtualScrollerRef\n          }, _ctx.virtualScrollerOptions, {\n            style: {\n              height: _ctx.scrollHeight\n            },\n            items: $options.visibleOptions,\n            tabindex: -1,\n            disabled: $options.virtualScrollerDisabled,\n            pt: _ctx.ptm('virtualScroller')\n          }), createSlots({\n            content: withCtx(function (_ref) {\n              var styleClass = _ref.styleClass,\n                contentRef = _ref.contentRef,\n                items = _ref.items,\n                getItemOptions = _ref.getItemOptions,\n                contentStyle = _ref.contentStyle,\n                itemSize = _ref.itemSize;\n              return [createElementVNode(\"ul\", mergeProps({\n                ref: function ref(el) {\n                  return $options.listRef(el, contentRef);\n                },\n                id: $data.id + '_list',\n                \"class\": [_ctx.cx('list'), styleClass],\n                style: contentStyle,\n                role: \"listbox\",\n                \"aria-label\": $options.listAriaLabel\n              }, _ctx.ptm('list')), [(openBlock(true), createElementBlock(Fragment, null, renderList(items, function (option, i) {\n                return openBlock(), createElementBlock(Fragment, {\n                  key: $options.getOptionRenderKey(option, $options.getOptionIndex(i, getItemOptions))\n                }, [$options.isOptionGroup(option) ? (openBlock(), createElementBlock(\"li\", mergeProps({\n                  key: 0,\n                  id: $data.id + '_' + $options.getOptionIndex(i, getItemOptions),\n                  style: {\n                    height: itemSize ? itemSize + 'px' : undefined\n                  },\n                  \"class\": _ctx.cx('optionGroup'),\n                  role: \"option\",\n                  ref_for: true\n                }, _ctx.ptm('optionGroup')), [renderSlot(_ctx.$slots, \"optiongroup\", {\n                  option: option.optionGroup,\n                  index: $options.getOptionIndex(i, getItemOptions)\n                }, function () {\n                  return [createTextVNode(toDisplayString($options.getOptionGroupLabel(option.optionGroup)), 1)];\n                })], 16, _hoisted_7)) : withDirectives((openBlock(), createElementBlock(\"li\", mergeProps({\n                  key: 1,\n                  id: $data.id + '_' + $options.getOptionIndex(i, getItemOptions),\n                  style: {\n                    height: itemSize ? itemSize + 'px' : undefined\n                  },\n                  \"class\": _ctx.cx('option', {\n                    option: option,\n                    i: i,\n                    getItemOptions: getItemOptions\n                  }),\n                  role: \"option\",\n                  \"aria-label\": $options.getOptionLabel(option),\n                  \"aria-selected\": $options.isSelected(option),\n                  \"aria-disabled\": $options.isOptionDisabled(option),\n                  \"aria-setsize\": $options.ariaSetSize,\n                  \"aria-posinset\": $options.getAriaPosInset($options.getOptionIndex(i, getItemOptions)),\n                  onClick: function onClick($event) {\n                    return $options.onOptionSelect($event, option);\n                  },\n                  onMousemove: function onMousemove($event) {\n                    return $options.onOptionMouseMove($event, $options.getOptionIndex(i, getItemOptions));\n                  },\n                  \"data-p-selected\": $options.isSelected(option),\n                  \"data-p-focus\": $data.focusedOptionIndex === $options.getOptionIndex(i, getItemOptions),\n                  \"data-p-disabled\": $options.isOptionDisabled(option),\n                  ref_for: true\n                }, $options.getPTOptions(option, getItemOptions, i, 'option')), [renderSlot(_ctx.$slots, \"option\", {\n                  option: option,\n                  index: $options.getOptionIndex(i, getItemOptions)\n                }, function () {\n                  return [createTextVNode(toDisplayString($options.getOptionLabel(option)), 1)];\n                })], 16, _hoisted_8)), [[_directive_ripple]])], 64);\n              }), 128)), !items || items && items.length === 0 ? (openBlock(), createElementBlock(\"li\", mergeProps({\n                key: 0,\n                \"class\": _ctx.cx('emptyMessage'),\n                role: \"option\"\n              }, _ctx.ptm('emptyMessage')), [renderSlot(_ctx.$slots, \"empty\", {}, function () {\n                return [createTextVNode(toDisplayString($options.searchResultMessageText), 1)];\n              })], 16)) : createCommentVNode(\"\", true)], 16, _hoisted_6)];\n            }),\n            _: 2\n          }, [_ctx.$slots.loader ? {\n            name: \"loader\",\n            fn: withCtx(function (_ref2) {\n              var options = _ref2.options;\n              return [renderSlot(_ctx.$slots, \"loader\", {\n                options: options\n              })];\n            }),\n            key: \"0\"\n          } : undefined]), 1040, [\"style\", \"items\", \"disabled\", \"pt\"]), renderSlot(_ctx.$slots, \"footer\", {\n            value: _ctx.modelValue,\n            suggestions: $options.visibleOptions\n          }), createElementVNode(\"span\", mergeProps({\n            role: \"status\",\n            \"aria-live\": \"polite\",\n            \"class\": \"p-hidden-accessible\"\n          }, _ctx.ptm('hiddenSelectedMessage'), {\n            \"data-p-hidden-accessible\": true\n          }), toDisplayString($options.selectedMessageText), 17)], 16, _hoisted_5)) : createCommentVNode(\"\", true)];\n        }),\n        _: 3\n      }, 16, [\"onEnter\", \"onAfterEnter\", \"onLeave\", \"onAfterLeave\"])];\n    }),\n    _: 3\n  }, 8, [\"appendTo\"])], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<!-- Auto complete with extra event \"focused-option-changed\" -->\n<script>\nimport AutoComplete from 'primevue/autocomplete'\n\nexport default {\n  name: 'AutoCompletePlus',\n  extends: AutoComplete,\n  emits: ['focused-option-changed'],\n  mounted() {\n    if (typeof AutoComplete.mounted === 'function') {\n      AutoComplete.mounted.call(this)\n    }\n\n    // Add a watcher on the focusedOptionIndex property\n    this.$watch(\n      () => this.focusedOptionIndex,\n      (newVal, oldVal) => {\n        // Emit a custom event when focusedOptionIndex changes\n        this.$emit('focused-option-changed', newVal)\n      }\n    )\n  }\n}\n</script>\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'WindowMaximizeIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  \"fill-rule\": \"evenodd\",\n  \"clip-rule\": \"evenodd\",\n  d: \"M7 14H11.8C12.3835 14 12.9431 13.7682 13.3556 13.3556C13.7682 12.9431 14 12.3835 14 11.8V2.2C14 1.61652 13.7682 1.05694 13.3556 0.644365C12.9431 0.231785 12.3835 0 11.8 0H2.2C1.61652 0 1.05694 0.231785 0.644365 0.644365C0.231785 1.05694 0 1.61652 0 2.2V7C0 7.15913 0.063214 7.31174 0.175736 7.42426C0.288258 7.53679 0.44087 7.6 0.6 7.6C0.75913 7.6 0.911742 7.53679 1.02426 7.42426C1.13679 7.31174 1.2 7.15913 1.2 7V2.2C1.2 1.93478 1.30536 1.68043 1.49289 1.49289C1.68043 1.30536 1.93478 1.2 2.2 1.2H11.8C12.0652 1.2 12.3196 1.30536 12.5071 1.49289C12.6946 1.68043 12.8 1.93478 12.8 2.2V11.8C12.8 12.0652 12.6946 12.3196 12.5071 12.5071C12.3196 12.6946 12.0652 12.8 11.8 12.8H7C6.84087 12.8 6.68826 12.8632 6.57574 12.9757C6.46321 13.0883 6.4 13.2409 6.4 13.4C6.4 13.5591 6.46321 13.7117 6.57574 13.8243C6.68826 13.9368 6.84087 14 7 14ZM9.77805 7.42192C9.89013 7.534 10.0415 7.59788 10.2 7.59995C10.3585 7.59788 10.5099 7.534 10.622 7.42192C10.7341 7.30985 10.798 7.15844 10.8 6.99995V3.94242C10.8066 3.90505 10.8096 3.86689 10.8089 3.82843C10.8079 3.77159 10.7988 3.7157 10.7824 3.6623C10.756 3.55552 10.701 3.45698 10.622 3.37798C10.5099 3.2659 10.3585 3.20202 10.2 3.19995H7.00002C6.84089 3.19995 6.68828 3.26317 6.57576 3.37569C6.46324 3.48821 6.40002 3.64082 6.40002 3.79995C6.40002 3.95908 6.46324 4.11169 6.57576 4.22422C6.68828 4.33674 6.84089 4.39995 7.00002 4.39995H8.80006L6.19997 7.00005C6.10158 7.11005 6.04718 7.25246 6.04718 7.40005C6.04718 7.54763 6.10158 7.69004 6.19997 7.80005C6.30202 7.91645 6.44561 7.98824 6.59997 8.00005C6.75432 7.98824 6.89791 7.91645 6.99997 7.80005L9.60002 5.26841V6.99995C9.6021 7.15844 9.66598 7.30985 9.77805 7.42192ZM1.4 14H3.8C4.17066 13.9979 4.52553 13.8498 4.78763 13.5877C5.04973 13.3256 5.1979 12.9707 5.2 12.6V10.2C5.1979 9.82939 5.04973 9.47452 4.78763 9.21242C4.52553 8.95032 4.17066 8.80215 3.8 8.80005H1.4C1.02934 8.80215 0.674468 8.95032 0.412371 9.21242C0.150274 9.47452 0.00210008 9.82939 0 10.2V12.6C0.00210008 12.9707 0.150274 13.3256 0.412371 13.5877C0.674468 13.8498 1.02934 13.9979 1.4 14ZM1.25858 10.0586C1.29609 10.0211 1.34696 10 1.4 10H3.8C3.85304 10 3.90391 10.0211 3.94142 10.0586C3.97893 10.0961 4 10.147 4 10.2V12.6C4 12.6531 3.97893 12.704 3.94142 12.7415C3.90391 12.779 3.85304 12.8 3.8 12.8H1.4C1.34696 12.8 1.29609 12.779 1.25858 12.7415C1.22107 12.704 1.2 12.6531 1.2 12.6V10.2C1.2 10.147 1.22107 10.0961 1.25858 10.0586Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'WindowMinimizeIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  \"fill-rule\": \"evenodd\",\n  \"clip-rule\": \"evenodd\",\n  d: \"M11.8 0H2.2C1.61652 0 1.05694 0.231785 0.644365 0.644365C0.231785 1.05694 0 1.61652 0 2.2V7C0 7.15913 0.063214 7.31174 0.175736 7.42426C0.288258 7.53679 0.44087 7.6 0.6 7.6C0.75913 7.6 0.911742 7.53679 1.02426 7.42426C1.13679 7.31174 1.2 7.15913 1.2 7V2.2C1.2 1.93478 1.30536 1.68043 1.49289 1.49289C1.68043 1.30536 1.93478 1.2 2.2 1.2H11.8C12.0652 1.2 12.3196 1.30536 12.5071 1.49289C12.6946 1.68043 12.8 1.93478 12.8 2.2V11.8C12.8 12.0652 12.6946 12.3196 12.5071 12.5071C12.3196 12.6946 12.0652 12.8 11.8 12.8H7C6.84087 12.8 6.68826 12.8632 6.57574 12.9757C6.46321 13.0883 6.4 13.2409 6.4 13.4C6.4 13.5591 6.46321 13.7117 6.57574 13.8243C6.68826 13.9368 6.84087 14 7 14H11.8C12.3835 14 12.9431 13.7682 13.3556 13.3556C13.7682 12.9431 14 12.3835 14 11.8V2.2C14 1.61652 13.7682 1.05694 13.3556 0.644365C12.9431 0.231785 12.3835 0 11.8 0ZM6.368 7.952C6.44137 7.98326 6.52025 7.99958 6.6 8H9.8C9.95913 8 10.1117 7.93678 10.2243 7.82426C10.3368 7.71174 10.4 7.55913 10.4 7.4C10.4 7.24087 10.3368 7.08826 10.2243 6.97574C10.1117 6.86321 9.95913 6.8 9.8 6.8H8.048L10.624 4.224C10.73 4.11026 10.7877 3.95982 10.7849 3.80438C10.7822 3.64894 10.7192 3.50063 10.6093 3.3907C10.4994 3.28077 10.3511 3.2178 10.1956 3.21506C10.0402 3.21232 9.88974 3.27002 9.776 3.376L7.2 5.952V4.2C7.2 4.04087 7.13679 3.88826 7.02426 3.77574C6.91174 3.66321 6.75913 3.6 6.6 3.6C6.44087 3.6 6.28826 3.66321 6.17574 3.77574C6.06321 3.88826 6 4.04087 6 4.2V7.4C6.00042 7.47975 6.01674 7.55862 6.048 7.632C6.07656 7.70442 6.11971 7.7702 6.17475 7.82524C6.2298 7.88029 6.29558 7.92344 6.368 7.952ZM1.4 8.80005H3.8C4.17066 8.80215 4.52553 8.95032 4.78763 9.21242C5.04973 9.47452 5.1979 9.82939 5.2 10.2V12.6C5.1979 12.9707 5.04973 13.3256 4.78763 13.5877C4.52553 13.8498 4.17066 13.9979 3.8 14H1.4C1.02934 13.9979 0.674468 13.8498 0.412371 13.5877C0.150274 13.3256 0.00210008 12.9707 0 12.6V10.2C0.00210008 9.82939 0.150274 9.47452 0.412371 9.21242C0.674468 8.95032 1.02934 8.80215 1.4 8.80005ZM3.94142 12.7415C3.97893 12.704 4 12.6531 4 12.6V10.2C4 10.147 3.97893 10.0961 3.94142 10.0586C3.90391 10.0211 3.85304 10 3.8 10H1.4C1.34696 10 1.29609 10.0211 1.25858 10.0586C1.22107 10.0961 1.2 10.147 1.2 10.2V12.6C1.2 12.6531 1.22107 12.704 1.25858 12.7415C1.29609 12.779 1.34696 12.8 1.4 12.8H3.8C3.85304 12.8 3.90391 12.779 3.94142 12.7415Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar FocusTrapStyle = BaseStyle.extend({\n  name: 'focustrap-directive'\n});\n\nexport { FocusTrapStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { focus, getFirstFocusableElement, getLastFocusableElement, isFocusableElement, createElement } from '@primeuix/utils/dom';\nimport { isNotEmpty } from '@primeuix/utils/object';\nimport BaseDirective from '@primevue/core/basedirective';\nimport FocusTrapStyle from 'primevue/focustrap/style';\n\nvar BaseFocusTrap = BaseDirective.extend({\n  style: FocusTrapStyle\n});\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar FocusTrap = BaseFocusTrap.extend('focustrap', {\n  mounted: function mounted(el, binding) {\n    var _ref = binding.value || {},\n      disabled = _ref.disabled;\n    if (!disabled) {\n      this.createHiddenFocusableElements(el, binding);\n      this.bind(el, binding);\n      this.autoElementFocus(el, binding);\n    }\n    el.setAttribute('data-pd-focustrap', true);\n    this.$el = el;\n  },\n  updated: function updated(el, binding) {\n    var _ref2 = binding.value || {},\n      disabled = _ref2.disabled;\n    disabled && this.unbind(el);\n  },\n  unmounted: function unmounted(el) {\n    this.unbind(el);\n  },\n  methods: {\n    getComputedSelector: function getComputedSelector(selector) {\n      return \":not(.p-hidden-focusable):not([data-p-hidden-focusable=\\\"true\\\"])\".concat(selector !== null && selector !== void 0 ? selector : '');\n    },\n    bind: function bind(el, binding) {\n      var _this = this;\n      var _ref3 = binding.value || {},\n        onFocusIn = _ref3.onFocusIn,\n        onFocusOut = _ref3.onFocusOut;\n      el.$_pfocustrap_mutationobserver = new MutationObserver(function (mutationList) {\n        mutationList.forEach(function (mutation) {\n          if (mutation.type === 'childList' && !el.contains(document.activeElement)) {\n            var findNextFocusableElement = function findNextFocusableElement(_el) {\n              var focusableElement = isFocusableElement(_el) ? isFocusableElement(_el, _this.getComputedSelector(el.$_pfocustrap_focusableselector)) ? _el : getFirstFocusableElement(el, _this.getComputedSelector(el.$_pfocustrap_focusableselector)) : getFirstFocusableElement(_el);\n              return isNotEmpty(focusableElement) ? focusableElement : _el.nextSibling && findNextFocusableElement(_el.nextSibling);\n            };\n            focus(findNextFocusableElement(mutation.nextSibling));\n          }\n        });\n      });\n      el.$_pfocustrap_mutationobserver.disconnect();\n      el.$_pfocustrap_mutationobserver.observe(el, {\n        childList: true\n      });\n      el.$_pfocustrap_focusinlistener = function (event) {\n        return onFocusIn && onFocusIn(event);\n      };\n      el.$_pfocustrap_focusoutlistener = function (event) {\n        return onFocusOut && onFocusOut(event);\n      };\n      el.addEventListener('focusin', el.$_pfocustrap_focusinlistener);\n      el.addEventListener('focusout', el.$_pfocustrap_focusoutlistener);\n    },\n    unbind: function unbind(el) {\n      el.$_pfocustrap_mutationobserver && el.$_pfocustrap_mutationobserver.disconnect();\n      el.$_pfocustrap_focusinlistener && el.removeEventListener('focusin', el.$_pfocustrap_focusinlistener) && (el.$_pfocustrap_focusinlistener = null);\n      el.$_pfocustrap_focusoutlistener && el.removeEventListener('focusout', el.$_pfocustrap_focusoutlistener) && (el.$_pfocustrap_focusoutlistener = null);\n    },\n    autoFocus: function autoFocus(options) {\n      this.autoElementFocus(this.$el, {\n        value: _objectSpread(_objectSpread({}, options), {}, {\n          autoFocus: true\n        })\n      });\n    },\n    autoElementFocus: function autoElementFocus(el, binding) {\n      var _ref4 = binding.value || {},\n        _ref4$autoFocusSelect = _ref4.autoFocusSelector,\n        autoFocusSelector = _ref4$autoFocusSelect === void 0 ? '' : _ref4$autoFocusSelect,\n        _ref4$firstFocusableS = _ref4.firstFocusableSelector,\n        firstFocusableSelector = _ref4$firstFocusableS === void 0 ? '' : _ref4$firstFocusableS,\n        _ref4$autoFocus = _ref4.autoFocus,\n        autoFocus = _ref4$autoFocus === void 0 ? false : _ref4$autoFocus;\n      var focusableElement = getFirstFocusableElement(el, \"[autofocus]\".concat(this.getComputedSelector(autoFocusSelector)));\n      autoFocus && !focusableElement && (focusableElement = getFirstFocusableElement(el, this.getComputedSelector(firstFocusableSelector)));\n      focus(focusableElement);\n    },\n    onFirstHiddenElementFocus: function onFirstHiddenElementFocus(event) {\n      var _this$$el;\n      var currentTarget = event.currentTarget,\n        relatedTarget = event.relatedTarget;\n      var focusableElement = relatedTarget === currentTarget.$_pfocustrap_lasthiddenfocusableelement || !((_this$$el = this.$el) !== null && _this$$el !== void 0 && _this$$el.contains(relatedTarget)) ? getFirstFocusableElement(currentTarget.parentElement, this.getComputedSelector(currentTarget.$_pfocustrap_focusableselector)) : currentTarget.$_pfocustrap_lasthiddenfocusableelement;\n      focus(focusableElement);\n    },\n    onLastHiddenElementFocus: function onLastHiddenElementFocus(event) {\n      var _this$$el2;\n      var currentTarget = event.currentTarget,\n        relatedTarget = event.relatedTarget;\n      var focusableElement = relatedTarget === currentTarget.$_pfocustrap_firsthiddenfocusableelement || !((_this$$el2 = this.$el) !== null && _this$$el2 !== void 0 && _this$$el2.contains(relatedTarget)) ? getLastFocusableElement(currentTarget.parentElement, this.getComputedSelector(currentTarget.$_pfocustrap_focusableselector)) : currentTarget.$_pfocustrap_firsthiddenfocusableelement;\n      focus(focusableElement);\n    },\n    createHiddenFocusableElements: function createHiddenFocusableElements(el, binding) {\n      var _this2 = this;\n      var _ref5 = binding.value || {},\n        _ref5$tabIndex = _ref5.tabIndex,\n        tabIndex = _ref5$tabIndex === void 0 ? 0 : _ref5$tabIndex,\n        _ref5$firstFocusableS = _ref5.firstFocusableSelector,\n        firstFocusableSelector = _ref5$firstFocusableS === void 0 ? '' : _ref5$firstFocusableS,\n        _ref5$lastFocusableSe = _ref5.lastFocusableSelector,\n        lastFocusableSelector = _ref5$lastFocusableSe === void 0 ? '' : _ref5$lastFocusableSe;\n      var createFocusableElement = function createFocusableElement(onFocus) {\n        return createElement('span', {\n          \"class\": 'p-hidden-accessible p-hidden-focusable',\n          tabIndex: tabIndex,\n          role: 'presentation',\n          'aria-hidden': true,\n          'data-p-hidden-accessible': true,\n          'data-p-hidden-focusable': true,\n          onFocus: onFocus === null || onFocus === void 0 ? void 0 : onFocus.bind(_this2)\n        });\n      };\n      var firstFocusableElement = createFocusableElement(this.onFirstHiddenElementFocus);\n      var lastFocusableElement = createFocusableElement(this.onLastHiddenElementFocus);\n      firstFocusableElement.$_pfocustrap_lasthiddenfocusableelement = lastFocusableElement;\n      firstFocusableElement.$_pfocustrap_focusableselector = firstFocusableSelector;\n      firstFocusableElement.setAttribute('data-pc-section', 'firstfocusableelement');\n      lastFocusableElement.$_pfocustrap_firsthiddenfocusableelement = firstFocusableElement;\n      lastFocusableElement.$_pfocustrap_focusableselector = lastFocusableSelector;\n      lastFocusableElement.setAttribute('data-pc-section', 'lastfocusableelement');\n      el.prepend(firstFocusableElement);\n      el.append(lastFocusableElement);\n    }\n  }\n});\n\nexport { FocusTrap as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-dialog {\\n    max-height: 90%;\\n    transform: scale(1);\\n    border-radius: \".concat(dt('dialog.border.radius'), \";\\n    box-shadow: \").concat(dt('dialog.shadow'), \";\\n    background: \").concat(dt('dialog.background'), \";\\n    border: 1px solid \").concat(dt('dialog.border.color'), \";\\n    color: \").concat(dt('dialog.color'), \";\\n}\\n\\n.p-dialog-content {\\n    overflow-y: auto;\\n    padding: \").concat(dt('dialog.content.padding'), \";\\n}\\n\\n.p-dialog-header {\\n    display: flex;\\n    align-items: center;\\n    justify-content: space-between;\\n    flex-shrink: 0;\\n    padding: \").concat(dt('dialog.header.padding'), \";\\n}\\n\\n.p-dialog-title {\\n    font-weight: \").concat(dt('dialog.title.font.weight'), \";\\n    font-size: \").concat(dt('dialog.title.font.size'), \";\\n}\\n\\n.p-dialog-footer {\\n    flex-shrink: 0;\\n    padding: \").concat(dt('dialog.footer.padding'), \";\\n    display: flex;\\n    justify-content: flex-end;\\n    gap: \").concat(dt('dialog.footer.gap'), \";\\n}\\n\\n.p-dialog-header-actions {\\n    display: flex;\\n    align-items: center;\\n    gap: \").concat(dt('dialog.header.gap'), \";\\n}\\n.p-dialog-enter-active {\\n    transition: all 150ms cubic-bezier(0, 0, 0.2, 1);\\n}\\n\\n.p-dialog-leave-active {\\n    transition: all 150ms cubic-bezier(0.4, 0, 0.2, 1);\\n}\\n\\n.p-dialog-enter-from,\\n.p-dialog-leave-to {\\n    opacity: 0;\\n    transform: scale(0.7);\\n}\\n\\n.p-dialog-top .p-dialog,\\n.p-dialog-bottom .p-dialog,\\n.p-dialog-left .p-dialog,\\n.p-dialog-right .p-dialog,\\n.p-dialog-topleft .p-dialog,\\n.p-dialog-topright .p-dialog,\\n.p-dialog-bottomleft .p-dialog,\\n.p-dialog-bottomright .p-dialog {\\n    margin: 0.75rem;\\n    transform: translate3d(0px, 0px, 0px);\\n}\\n\\n.p-dialog-top .p-dialog-enter-active,\\n.p-dialog-top .p-dialog-leave-active,\\n.p-dialog-bottom .p-dialog-enter-active,\\n.p-dialog-bottom .p-dialog-leave-active,\\n.p-dialog-left .p-dialog-enter-active,\\n.p-dialog-left .p-dialog-leave-active,\\n.p-dialog-right .p-dialog-enter-active,\\n.p-dialog-right .p-dialog-leave-active,\\n.p-dialog-topleft .p-dialog-enter-active,\\n.p-dialog-topleft .p-dialog-leave-active,\\n.p-dialog-topright .p-dialog-enter-active,\\n.p-dialog-topright .p-dialog-leave-active,\\n.p-dialog-bottomleft .p-dialog-enter-active,\\n.p-dialog-bottomleft .p-dialog-leave-active,\\n.p-dialog-bottomright .p-dialog-enter-active,\\n.p-dialog-bottomright .p-dialog-leave-active {\\n    transition: all 0.3s ease-out;\\n}\\n\\n.p-dialog-top .p-dialog-enter-from,\\n.p-dialog-top .p-dialog-leave-to {\\n    transform: translate3d(0px, -100%, 0px);\\n}\\n\\n.p-dialog-bottom .p-dialog-enter-from,\\n.p-dialog-bottom .p-dialog-leave-to {\\n    transform: translate3d(0px, 100%, 0px);\\n}\\n\\n.p-dialog-left .p-dialog-enter-from,\\n.p-dialog-left .p-dialog-leave-to,\\n.p-dialog-topleft .p-dialog-enter-from,\\n.p-dialog-topleft .p-dialog-leave-to,\\n.p-dialog-bottomleft .p-dialog-enter-from,\\n.p-dialog-bottomleft .p-dialog-leave-to {\\n    transform: translate3d(-100%, 0px, 0px);\\n}\\n\\n.p-dialog-right .p-dialog-enter-from,\\n.p-dialog-right .p-dialog-leave-to,\\n.p-dialog-topright .p-dialog-enter-from,\\n.p-dialog-topright .p-dialog-leave-to,\\n.p-dialog-bottomright .p-dialog-enter-from,\\n.p-dialog-bottomright .p-dialog-leave-to {\\n    transform: translate3d(100%, 0px, 0px);\\n}\\n\\n.p-dialog-maximized {\\n    width: 100vw !important;\\n    height: 100vh !important;\\n    top: 0px !important;\\n    left: 0px !important;\\n    max-height: 100%;\\n    height: 100%;\\n    border-radius: 0;\\n}\\n\\n.p-dialog-maximized .p-dialog-content {\\n    flex-grow: 1;\\n}\\n\");\n};\n\n/* Position */\nvar inlineStyles = {\n  mask: function mask(_ref2) {\n    var position = _ref2.position,\n      modal = _ref2.modal;\n    return {\n      position: 'fixed',\n      height: '100%',\n      width: '100%',\n      left: 0,\n      top: 0,\n      display: 'flex',\n      justifyContent: position === 'left' || position === 'topleft' || position === 'bottomleft' ? 'flex-start' : position === 'right' || position === 'topright' || position === 'bottomright' ? 'flex-end' : 'center',\n      alignItems: position === 'top' || position === 'topleft' || position === 'topright' ? 'flex-start' : position === 'bottom' || position === 'bottomleft' || position === 'bottomright' ? 'flex-end' : 'center',\n      pointerEvents: modal ? 'auto' : 'none'\n    };\n  },\n  root: {\n    display: 'flex',\n    flexDirection: 'column',\n    pointerEvents: 'auto'\n  }\n};\nvar classes = {\n  mask: function mask(_ref3) {\n    var props = _ref3.props;\n    var positions = ['left', 'right', 'top', 'topleft', 'topright', 'bottom', 'bottomleft', 'bottomright'];\n    var pos = positions.find(function (item) {\n      return item === props.position;\n    });\n    return ['p-dialog-mask', {\n      'p-overlay-mask p-overlay-mask-enter': props.modal\n    }, pos ? \"p-dialog-\".concat(pos) : ''];\n  },\n  root: function root(_ref4) {\n    var props = _ref4.props,\n      instance = _ref4.instance;\n    return ['p-dialog p-component', {\n      'p-dialog-maximized': props.maximizable && instance.maximized\n    }];\n  },\n  header: 'p-dialog-header',\n  title: 'p-dialog-title',\n  headerActions: 'p-dialog-header-actions',\n  pcMaximizeButton: 'p-dialog-maximize-button',\n  pcCloseButton: 'p-dialog-close-button',\n  content: 'p-dialog-content',\n  footer: 'p-dialog-footer'\n};\nvar DialogStyle = BaseStyle.extend({\n  name: 'dialog',\n  theme: theme,\n  classes: classes,\n  inlineStyles: inlineStyles\n});\n\nexport { DialogStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { UniqueComponentId } from '@primevue/core/utils';\nimport { addClass, focus, blockBodyScroll, unblockBodyScroll, setAttribute, addStyle, getOuterWidth, getOuterHeight, getViewport } from '@primeuix/utils/dom';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport TimesIcon from '@primevue/icons/times';\nimport WindowMaximizeIcon from '@primevue/icons/windowmaximize';\nimport WindowMinimizeIcon from '@primevue/icons/windowminimize';\nimport Button from 'primevue/button';\nimport FocusTrap from 'primevue/focustrap';\nimport Portal from 'primevue/portal';\nimport Ripple from 'primevue/ripple';\nimport { computed, resolveComponent, resolveDirective, openBlock, createBlock, withCtx, createElementBlock, mergeProps, createVNode, Transition, withDirectives, renderSlot, Fragment, normalizeClass, toDisplayString, createCommentVNode, createElementVNode, resolveDynamicComponent, createTextVNode } from 'vue';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport DialogStyle from 'primevue/dialog/style';\n\nvar script$1 = {\n  name: 'BaseDialog',\n  \"extends\": BaseComponent,\n  props: {\n    header: {\n      type: null,\n      \"default\": null\n    },\n    footer: {\n      type: null,\n      \"default\": null\n    },\n    visible: {\n      type: Boolean,\n      \"default\": false\n    },\n    modal: {\n      type: Boolean,\n      \"default\": null\n    },\n    contentStyle: {\n      type: null,\n      \"default\": null\n    },\n    contentClass: {\n      type: String,\n      \"default\": null\n    },\n    contentProps: {\n      type: null,\n      \"default\": null\n    },\n    maximizable: {\n      type: Boolean,\n      \"default\": false\n    },\n    dismissableMask: {\n      type: Boolean,\n      \"default\": false\n    },\n    closable: {\n      type: Boolean,\n      \"default\": true\n    },\n    closeOnEscape: {\n      type: Boolean,\n      \"default\": true\n    },\n    showHeader: {\n      type: Boolean,\n      \"default\": true\n    },\n    blockScroll: {\n      type: Boolean,\n      \"default\": false\n    },\n    baseZIndex: {\n      type: Number,\n      \"default\": 0\n    },\n    autoZIndex: {\n      type: Boolean,\n      \"default\": true\n    },\n    position: {\n      type: String,\n      \"default\": 'center'\n    },\n    breakpoints: {\n      type: Object,\n      \"default\": null\n    },\n    draggable: {\n      type: Boolean,\n      \"default\": true\n    },\n    keepInViewport: {\n      type: Boolean,\n      \"default\": true\n    },\n    minX: {\n      type: Number,\n      \"default\": 0\n    },\n    minY: {\n      type: Number,\n      \"default\": 0\n    },\n    appendTo: {\n      type: [String, Object],\n      \"default\": 'body'\n    },\n    closeIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    maximizeIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    minimizeIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    closeButtonProps: {\n      type: Object,\n      \"default\": function _default() {\n        return {\n          severity: 'secondary',\n          text: true,\n          rounded: true\n        };\n      }\n    },\n    maximizeButtonProps: {\n      type: Object,\n      \"default\": function _default() {\n        return {\n          severity: 'secondary',\n          text: true,\n          rounded: true\n        };\n      }\n    },\n    _instance: null\n  },\n  style: DialogStyle,\n  provide: function provide() {\n    return {\n      $pcDialog: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'Dialog',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:visible', 'show', 'hide', 'after-hide', 'maximize', 'unmaximize', 'dragend'],\n  provide: function provide() {\n    var _this = this;\n    return {\n      dialogRef: computed(function () {\n        return _this._instance;\n      })\n    };\n  },\n  data: function data() {\n    return {\n      id: this.$attrs.id,\n      containerVisible: this.visible,\n      maximized: false,\n      focusableMax: null,\n      focusableClose: null\n    };\n  },\n  watch: {\n    '$attrs.id': function $attrsId(newValue) {\n      this.id = newValue || UniqueComponentId();\n    }\n  },\n  documentKeydownListener: null,\n  container: null,\n  mask: null,\n  content: null,\n  headerContainer: null,\n  footerContainer: null,\n  maximizableButton: null,\n  closeButton: null,\n  styleElement: null,\n  dragging: null,\n  documentDragListener: null,\n  documentDragEndListener: null,\n  lastPageX: null,\n  lastPageY: null,\n  updated: function updated() {\n    if (this.visible) {\n      this.containerVisible = this.visible;\n    }\n  },\n  beforeUnmount: function beforeUnmount() {\n    this.unbindDocumentState();\n    this.unbindGlobalListeners();\n    this.destroyStyle();\n    if (this.mask && this.autoZIndex) {\n      ZIndex.clear(this.mask);\n    }\n    this.container = null;\n    this.mask = null;\n  },\n  mounted: function mounted() {\n    this.id = this.id || UniqueComponentId();\n    if (this.breakpoints) {\n      this.createStyle();\n    }\n  },\n  methods: {\n    close: function close() {\n      this.$emit('update:visible', false);\n    },\n    onBeforeEnter: function onBeforeEnter(el) {\n      el.setAttribute(this.attributeSelector, '');\n    },\n    onEnter: function onEnter() {\n      this.$emit('show');\n      this.focus();\n      this.enableDocumentSettings();\n      this.bindGlobalListeners();\n      if (this.autoZIndex) {\n        ZIndex.set('modal', this.mask, this.baseZIndex + this.$primevue.config.zIndex.modal);\n      }\n    },\n    onBeforeLeave: function onBeforeLeave() {\n      if (this.modal) {\n        !this.isUnstyled && addClass(this.mask, 'p-overlay-mask-leave');\n      }\n    },\n    onLeave: function onLeave() {\n      this.$emit('hide');\n      this.focusableClose = null;\n      this.focusableMax = null;\n    },\n    onAfterLeave: function onAfterLeave() {\n      if (this.autoZIndex) {\n        ZIndex.clear(this.mask);\n      }\n      this.containerVisible = false;\n      this.unbindDocumentState();\n      this.unbindGlobalListeners();\n      this.$emit('after-hide');\n    },\n    onMaskClick: function onMaskClick(event) {\n      if (this.dismissableMask && this.modal && this.mask === event.target) {\n        this.close();\n      }\n    },\n    focus: function focus$1() {\n      var findFocusableElement = function findFocusableElement(container) {\n        return container && container.querySelector('[autofocus]');\n      };\n      var focusTarget = this.$slots.footer && findFocusableElement(this.footerContainer);\n      if (!focusTarget) {\n        focusTarget = this.$slots.header && findFocusableElement(this.headerContainer);\n        if (!focusTarget) {\n          focusTarget = this.$slots[\"default\"] && findFocusableElement(this.content);\n          if (!focusTarget) {\n            if (this.maximizable) {\n              this.focusableMax = true;\n              focusTarget = this.maximizableButton;\n            } else {\n              this.focusableClose = true;\n              focusTarget = this.closeButton;\n            }\n          }\n        }\n      }\n      if (focusTarget) {\n        focus(focusTarget, {\n          focusVisible: true\n        });\n      }\n    },\n    maximize: function maximize(event) {\n      if (this.maximized) {\n        this.maximized = false;\n        this.$emit('unmaximize', event);\n      } else {\n        this.maximized = true;\n        this.$emit('maximize', event);\n      }\n      if (!this.modal) {\n        this.maximized ? blockBodyScroll() : unblockBodyScroll();\n      }\n    },\n    enableDocumentSettings: function enableDocumentSettings() {\n      if (this.modal || !this.modal && this.blockScroll || this.maximizable && this.maximized) {\n        blockBodyScroll();\n      }\n    },\n    unbindDocumentState: function unbindDocumentState() {\n      if (this.modal || !this.modal && this.blockScroll || this.maximizable && this.maximized) {\n        unblockBodyScroll();\n      }\n    },\n    onKeyDown: function onKeyDown(event) {\n      if (event.code === 'Escape' && this.closeOnEscape) {\n        this.close();\n      }\n    },\n    bindDocumentKeyDownListener: function bindDocumentKeyDownListener() {\n      if (!this.documentKeydownListener) {\n        this.documentKeydownListener = this.onKeyDown.bind(this);\n        window.document.addEventListener('keydown', this.documentKeydownListener);\n      }\n    },\n    unbindDocumentKeyDownListener: function unbindDocumentKeyDownListener() {\n      if (this.documentKeydownListener) {\n        window.document.removeEventListener('keydown', this.documentKeydownListener);\n        this.documentKeydownListener = null;\n      }\n    },\n    containerRef: function containerRef(el) {\n      this.container = el;\n    },\n    maskRef: function maskRef(el) {\n      this.mask = el;\n    },\n    contentRef: function contentRef(el) {\n      this.content = el;\n    },\n    headerContainerRef: function headerContainerRef(el) {\n      this.headerContainer = el;\n    },\n    footerContainerRef: function footerContainerRef(el) {\n      this.footerContainer = el;\n    },\n    maximizableRef: function maximizableRef(el) {\n      this.maximizableButton = el ? el.$el : undefined;\n    },\n    closeButtonRef: function closeButtonRef(el) {\n      this.closeButton = el ? el.$el : undefined;\n    },\n    createStyle: function createStyle() {\n      if (!this.styleElement && !this.isUnstyled) {\n        var _this$$primevue;\n        this.styleElement = document.createElement('style');\n        this.styleElement.type = 'text/css';\n        setAttribute(this.styleElement, 'nonce', (_this$$primevue = this.$primevue) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.config) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.csp) === null || _this$$primevue === void 0 ? void 0 : _this$$primevue.nonce);\n        document.head.appendChild(this.styleElement);\n        var innerHTML = '';\n        for (var breakpoint in this.breakpoints) {\n          innerHTML += \"\\n                        @media screen and (max-width: \".concat(breakpoint, \") {\\n                            .p-dialog[\").concat(this.attributeSelector, \"] {\\n                                width: \").concat(this.breakpoints[breakpoint], \" !important;\\n                            }\\n                        }\\n                    \");\n        }\n        this.styleElement.innerHTML = innerHTML;\n      }\n    },\n    destroyStyle: function destroyStyle() {\n      if (this.styleElement) {\n        document.head.removeChild(this.styleElement);\n        this.styleElement = null;\n      }\n    },\n    initDrag: function initDrag(event) {\n      if (event.target.closest('div').getAttribute('data-pc-section') === 'headeractions') {\n        return;\n      }\n      if (this.draggable) {\n        this.dragging = true;\n        this.lastPageX = event.pageX;\n        this.lastPageY = event.pageY;\n        this.container.style.margin = '0';\n        document.body.setAttribute('data-p-unselectable-text', 'true');\n        !this.isUnstyled && addStyle(document.body, {\n          'user-select': 'none'\n        });\n      }\n    },\n    bindGlobalListeners: function bindGlobalListeners() {\n      if (this.draggable) {\n        this.bindDocumentDragListener();\n        this.bindDocumentDragEndListener();\n      }\n      if (this.closeOnEscape && this.closable) {\n        this.bindDocumentKeyDownListener();\n      }\n    },\n    unbindGlobalListeners: function unbindGlobalListeners() {\n      this.unbindDocumentDragListener();\n      this.unbindDocumentDragEndListener();\n      this.unbindDocumentKeyDownListener();\n    },\n    bindDocumentDragListener: function bindDocumentDragListener() {\n      var _this2 = this;\n      this.documentDragListener = function (event) {\n        if (_this2.dragging) {\n          var width = getOuterWidth(_this2.container);\n          var height = getOuterHeight(_this2.container);\n          var deltaX = event.pageX - _this2.lastPageX;\n          var deltaY = event.pageY - _this2.lastPageY;\n          var offset = _this2.container.getBoundingClientRect();\n          var leftPos = offset.left + deltaX;\n          var topPos = offset.top + deltaY;\n          var viewport = getViewport();\n          var containerComputedStyle = getComputedStyle(_this2.container);\n          var marginLeft = parseFloat(containerComputedStyle.marginLeft);\n          var marginTop = parseFloat(containerComputedStyle.marginTop);\n          _this2.container.style.position = 'fixed';\n          if (_this2.keepInViewport) {\n            if (leftPos >= _this2.minX && leftPos + width < viewport.width) {\n              _this2.lastPageX = event.pageX;\n              _this2.container.style.left = leftPos - marginLeft + 'px';\n            }\n            if (topPos >= _this2.minY && topPos + height < viewport.height) {\n              _this2.lastPageY = event.pageY;\n              _this2.container.style.top = topPos - marginTop + 'px';\n            }\n          } else {\n            _this2.lastPageX = event.pageX;\n            _this2.container.style.left = leftPos - marginLeft + 'px';\n            _this2.lastPageY = event.pageY;\n            _this2.container.style.top = topPos - marginTop + 'px';\n          }\n        }\n      };\n      window.document.addEventListener('mousemove', this.documentDragListener);\n    },\n    unbindDocumentDragListener: function unbindDocumentDragListener() {\n      if (this.documentDragListener) {\n        window.document.removeEventListener('mousemove', this.documentDragListener);\n        this.documentDragListener = null;\n      }\n    },\n    bindDocumentDragEndListener: function bindDocumentDragEndListener() {\n      var _this3 = this;\n      this.documentDragEndListener = function (event) {\n        if (_this3.dragging) {\n          _this3.dragging = false;\n          document.body.removeAttribute('data-p-unselectable-text');\n          !_this3.isUnstyled && (document.body.style['user-select'] = '');\n          _this3.$emit('dragend', event);\n        }\n      };\n      window.document.addEventListener('mouseup', this.documentDragEndListener);\n    },\n    unbindDocumentDragEndListener: function unbindDocumentDragEndListener() {\n      if (this.documentDragEndListener) {\n        window.document.removeEventListener('mouseup', this.documentDragEndListener);\n        this.documentDragEndListener = null;\n      }\n    }\n  },\n  computed: {\n    maximizeIconComponent: function maximizeIconComponent() {\n      return this.maximized ? this.minimizeIcon ? 'span' : 'WindowMinimizeIcon' : this.maximizeIcon ? 'span' : 'WindowMaximizeIcon';\n    },\n    ariaLabelledById: function ariaLabelledById() {\n      return this.header != null || this.$attrs['aria-labelledby'] !== null ? this.id + '_header' : null;\n    },\n    closeAriaLabel: function closeAriaLabel() {\n      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.close : undefined;\n    },\n    attributeSelector: function attributeSelector() {\n      return UniqueComponentId();\n    }\n  },\n  directives: {\n    ripple: Ripple,\n    focustrap: FocusTrap\n  },\n  components: {\n    Button: Button,\n    Portal: Portal,\n    WindowMinimizeIcon: WindowMinimizeIcon,\n    WindowMaximizeIcon: WindowMaximizeIcon,\n    TimesIcon: TimesIcon\n  }\n};\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar _hoisted_1 = [\"aria-labelledby\", \"aria-modal\"];\nvar _hoisted_2 = [\"id\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_Button = resolveComponent(\"Button\");\n  var _component_Portal = resolveComponent(\"Portal\");\n  var _directive_focustrap = resolveDirective(\"focustrap\");\n  return openBlock(), createBlock(_component_Portal, {\n    appendTo: _ctx.appendTo\n  }, {\n    \"default\": withCtx(function () {\n      return [$data.containerVisible ? (openBlock(), createElementBlock(\"div\", mergeProps({\n        key: 0,\n        ref: $options.maskRef,\n        \"class\": _ctx.cx('mask'),\n        style: _ctx.sx('mask', true, {\n          position: _ctx.position,\n          modal: _ctx.modal\n        }),\n        onClick: _cache[1] || (_cache[1] = function () {\n          return $options.onMaskClick && $options.onMaskClick.apply($options, arguments);\n        })\n      }, _ctx.ptm('mask')), [createVNode(Transition, mergeProps({\n        name: \"p-dialog\",\n        onBeforeEnter: $options.onBeforeEnter,\n        onEnter: $options.onEnter,\n        onBeforeLeave: $options.onBeforeLeave,\n        onLeave: $options.onLeave,\n        onAfterLeave: $options.onAfterLeave,\n        appear: \"\"\n      }, _ctx.ptm('transition')), {\n        \"default\": withCtx(function () {\n          return [_ctx.visible ? withDirectives((openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 0,\n            ref: $options.containerRef,\n            \"class\": _ctx.cx('root'),\n            style: _ctx.sx('root'),\n            role: \"dialog\",\n            \"aria-labelledby\": $options.ariaLabelledById,\n            \"aria-modal\": _ctx.modal\n          }, _ctx.ptmi('root')), [_ctx.$slots.container ? renderSlot(_ctx.$slots, \"container\", {\n            key: 0,\n            closeCallback: $options.close,\n            maximizeCallback: function maximizeCallback(event) {\n              return $options.maximize(event);\n            }\n          }) : (openBlock(), createElementBlock(Fragment, {\n            key: 1\n          }, [_ctx.showHeader ? (openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 0,\n            ref: $options.headerContainerRef,\n            \"class\": _ctx.cx('header'),\n            onMousedown: _cache[0] || (_cache[0] = function () {\n              return $options.initDrag && $options.initDrag.apply($options, arguments);\n            })\n          }, _ctx.ptm('header')), [renderSlot(_ctx.$slots, \"header\", {\n            \"class\": normalizeClass(_ctx.cx('title'))\n          }, function () {\n            return [_ctx.header ? (openBlock(), createElementBlock(\"span\", mergeProps({\n              key: 0,\n              id: $options.ariaLabelledById,\n              \"class\": _ctx.cx('title')\n            }, _ctx.ptm('title')), toDisplayString(_ctx.header), 17, _hoisted_2)) : createCommentVNode(\"\", true)];\n          }), createElementVNode(\"div\", mergeProps({\n            \"class\": _ctx.cx('headerActions')\n          }, _ctx.ptm('headerActions')), [_ctx.maximizable ? (openBlock(), createBlock(_component_Button, mergeProps({\n            key: 0,\n            ref: $options.maximizableRef,\n            autofocus: $data.focusableMax,\n            \"class\": _ctx.cx('pcMaximizeButton'),\n            onClick: $options.maximize,\n            tabindex: _ctx.maximizable ? '0' : '-1',\n            unstyled: _ctx.unstyled\n          }, _ctx.maximizeButtonProps, {\n            pt: _ctx.ptm('pcMaximizeButton'),\n            \"data-pc-group-section\": \"headericon\"\n          }), {\n            icon: withCtx(function (slotProps) {\n              return [renderSlot(_ctx.$slots, \"maximizeicon\", {\n                maximized: $data.maximized\n              }, function () {\n                return [(openBlock(), createBlock(resolveDynamicComponent($options.maximizeIconComponent), mergeProps({\n                  \"class\": [slotProps[\"class\"], $data.maximized ? _ctx.minimizeIcon : _ctx.maximizeIcon]\n                }, _ctx.ptm('pcMaximizeButton')['icon']), null, 16, [\"class\"]))];\n              })];\n            }),\n            _: 3\n          }, 16, [\"autofocus\", \"class\", \"onClick\", \"tabindex\", \"unstyled\", \"pt\"])) : createCommentVNode(\"\", true), _ctx.closable ? (openBlock(), createBlock(_component_Button, mergeProps({\n            key: 1,\n            ref: $options.closeButtonRef,\n            autofocus: $data.focusableClose,\n            \"class\": _ctx.cx('pcCloseButton'),\n            onClick: $options.close,\n            \"aria-label\": $options.closeAriaLabel,\n            unstyled: _ctx.unstyled\n          }, _ctx.closeButtonProps, {\n            pt: _ctx.ptm('pcCloseButton'),\n            \"data-pc-group-section\": \"headericon\"\n          }), {\n            icon: withCtx(function (slotProps) {\n              return [renderSlot(_ctx.$slots, \"closeicon\", {}, function () {\n                return [(openBlock(), createBlock(resolveDynamicComponent(_ctx.closeIcon ? 'span' : 'TimesIcon'), mergeProps({\n                  \"class\": [_ctx.closeIcon, slotProps[\"class\"]]\n                }, _ctx.ptm('pcCloseButton')['icon']), null, 16, [\"class\"]))];\n              })];\n            }),\n            _: 3\n          }, 16, [\"autofocus\", \"class\", \"onClick\", \"aria-label\", \"unstyled\", \"pt\"])) : createCommentVNode(\"\", true)], 16)], 16)) : createCommentVNode(\"\", true), createElementVNode(\"div\", mergeProps({\n            ref: $options.contentRef,\n            \"class\": [_ctx.cx('content'), _ctx.contentClass],\n            style: _ctx.contentStyle\n          }, _objectSpread(_objectSpread({}, _ctx.contentProps), _ctx.ptm('content'))), [renderSlot(_ctx.$slots, \"default\")], 16), _ctx.footer || _ctx.$slots.footer ? (openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 1,\n            ref: $options.footerContainerRef,\n            \"class\": _ctx.cx('footer')\n          }, _ctx.ptm('footer')), [renderSlot(_ctx.$slots, \"footer\", {}, function () {\n            return [createTextVNode(toDisplayString(_ctx.footer), 1)];\n          })], 16)) : createCommentVNode(\"\", true)], 64))], 16, _hoisted_1)), [[_directive_focustrap, {\n            disabled: !_ctx.modal\n          }]]) : createCommentVNode(\"\", true)];\n        }),\n        _: 3\n      }, 16, [\"onBeforeEnter\", \"onEnter\", \"onBeforeLeave\", \"onLeave\", \"onAfterLeave\"])], 16)) : createCommentVNode(\"\", true)];\n    }),\n    _: 3\n  }, 8, [\"appendTo\"]);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-togglebutton {\\n    display: inline-flex;\\n    cursor: pointer;\\n    user-select: none;\\n    align-items: center;\\n    justify-content: center;\\n    overflow: hidden;\\n    position: relative;\\n    color: \".concat(dt('togglebutton.color'), \";\\n    background: \").concat(dt('togglebutton.background'), \";\\n    border: 1px solid \").concat(dt('togglebutton.border.color'), \";\\n    padding: \").concat(dt('togglebutton.padding'), \";\\n    font-size: 1rem;\\n    font-family: inherit;\\n    font-feature-settings: inherit;\\n    transition: background \").concat(dt('togglebutton.transition.duration'), \", color \").concat(dt('togglebutton.transition.duration'), \", border-color \").concat(dt('togglebutton.transition.duration'), \",\\n        outline-color \").concat(dt('togglebutton.transition.duration'), \", box-shadow \").concat(dt('togglebutton.transition.duration'), \";\\n    border-radius: \").concat(dt('togglebutton.border.radius'), \";\\n    outline-color: transparent;\\n    font-weight: \").concat(dt('togglebutton.font.weight'), \";\\n}\\n\\n.p-togglebutton-content {\\n    position: relative;\\n    display: inline-flex;\\n    align-items: center;\\n    justify-content: center;\\n    gap: \").concat(dt('togglebutton.gap'), \";\\n}\\n\\n.p-togglebutton-label,\\n.p-togglebutton-icon {\\n    position: relative;\\n    transition: none;\\n}\\n\\n.p-togglebutton::before {\\n    content: \\\"\\\";\\n    background: transparent;\\n    transition: background \").concat(dt('togglebutton.transition.duration'), \", color \").concat(dt('togglebutton.transition.duration'), \", border-color \").concat(dt('togglebutton.transition.duration'), \",\\n            outline-color \").concat(dt('togglebutton.transition.duration'), \", box-shadow \").concat(dt('togglebutton.transition.duration'), \";\\n    position: absolute;\\n    left: \").concat(dt('togglebutton.content.left'), \";\\n    top: \").concat(dt('togglebutton.content.top'), \";\\n    width: calc(100% - calc(2 *  \").concat(dt('togglebutton.content.left'), \"));\\n    height: calc(100% - calc(2 *  \").concat(dt('togglebutton.content.top'), \"));\\n    border-radius: \").concat(dt('togglebutton.border.radius'), \";\\n}\\n\\n.p-togglebutton.p-togglebutton-checked::before {\\n    background: \").concat(dt('togglebutton.content.checked.background'), \";\\n    box-shadow: \").concat(dt('togglebutton.content.checked.shadow'), \";\\n}\\n\\n.p-togglebutton:not(:disabled):not(.p-togglebutton-checked):hover {\\n    background: \").concat(dt('togglebutton.hover.background'), \";\\n    color: \").concat(dt('togglebutton.hover.color'), \";\\n}\\n\\n.p-togglebutton.p-togglebutton-checked {\\n    background: \").concat(dt('togglebutton.checked.background'), \";\\n    border-color: \").concat(dt('togglebutton.checked.border.color'), \";\\n    color: \").concat(dt('togglebutton.checked.color'), \";\\n}\\n\\n.p-togglebutton:focus-visible {\\n    box-shadow: \").concat(dt('togglebutton.focus.ring.shadow'), \";\\n    outline: \").concat(dt('togglebutton.focus.ring.width'), \" \").concat(dt('togglebutton.focus.ring.style'), \" \").concat(dt('togglebutton.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('togglebutton.focus.ring.offset'), \";\\n}\\n\\n.p-togglebutton.p-invalid {\\n    border-color: \").concat(dt('togglebutton.invalid.border.color'), \";\\n}\\n\\n.p-togglebutton:disabled {\\n    opacity: 1;\\n    cursor: default;\\n    background: \").concat(dt('togglebutton.disabled.background'), \";\\n    border-color: \").concat(dt('togglebutton.disabled.border.color'), \";\\n    color: \").concat(dt('togglebutton.disabled.color'), \";\\n}\\n\\n.p-togglebutton-icon {\\n    color: \").concat(dt('togglebutton.icon.color'), \";\\n}\\n\\n.p-togglebutton:not(:disabled):not(.p-togglebutton-checked):hover .p-togglebutton-icon {\\n    color: \").concat(dt('togglebutton.icon.hover.color'), \";\\n}\\n\\n.p-togglebutton.p-togglebutton-checked .p-togglebutton-icon {\\n    color: \").concat(dt('togglebutton.icon.checked.color'), \";\\n}\\n\\n.p-togglebutton:disabled .p-togglebutton-icon {\\n    color: \").concat(dt('togglebutton.icon.disabled.color'), \";\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var instance = _ref2.instance,\n      props = _ref2.props;\n    return ['p-togglebutton p-component', {\n      'p-togglebutton-checked': instance.active,\n      'p-invalid': props.invalid\n    }];\n  },\n  content: 'p-togglebutton-content',\n  icon: 'p-togglebutton-icon',\n  label: 'p-togglebutton-label'\n};\nvar ToggleButtonStyle = BaseStyle.extend({\n  name: 'togglebutton',\n  theme: theme,\n  classes: classes\n});\n\nexport { ToggleButtonStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { isNotEmpty } from '@primeuix/utils/object';\nimport Ripple from 'primevue/ripple';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport ToggleButtonStyle from 'primevue/togglebutton/style';\nimport { resolveDirective, withDirectives, openBlock, createElementBlock, mergeProps, createElementVNode, renderSlot, normalizeClass, createCommentVNode, toDisplayString } from 'vue';\n\nvar script$1 = {\n  name: 'BaseToggleButton',\n  \"extends\": BaseComponent,\n  props: {\n    modelValue: Boolean,\n    onIcon: String,\n    offIcon: String,\n    onLabel: {\n      type: String,\n      \"default\": 'Yes'\n    },\n    offLabel: {\n      type: String,\n      \"default\": 'No'\n    },\n    iconPos: {\n      type: String,\n      \"default\": 'left'\n    },\n    invalid: {\n      type: Boolean,\n      \"default\": false\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    readonly: {\n      type: Boolean,\n      \"default\": false\n    },\n    tabindex: {\n      type: Number,\n      \"default\": null\n    },\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: ToggleButtonStyle,\n  provide: function provide() {\n    return {\n      $pcToggleButton: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'ToggleButton',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue', 'change'],\n  methods: {\n    getPTOptions: function getPTOptions(key) {\n      var _ptm = key === 'root' ? this.ptmi : this.ptm;\n      return _ptm(key, {\n        context: {\n          active: this.active,\n          disabled: this.disabled\n        }\n      });\n    },\n    onChange: function onChange(event) {\n      if (!this.disabled && !this.readonly) {\n        this.$emit('update:modelValue', !this.modelValue);\n        this.$emit('change', event);\n      }\n    }\n  },\n  computed: {\n    active: function active() {\n      return this.modelValue === true;\n    },\n    hasLabel: function hasLabel() {\n      return isNotEmpty(this.onLabel) && isNotEmpty(this.offLabel);\n    },\n    label: function label() {\n      return this.hasLabel ? this.modelValue ? this.onLabel : this.offLabel : '&nbsp;';\n    }\n  },\n  directives: {\n    ripple: Ripple\n  }\n};\n\nvar _hoisted_1 = [\"tabindex\", \"disabled\", \"aria-pressed\", \"data-p-checked\", \"data-p-disabled\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return withDirectives((openBlock(), createElementBlock(\"button\", mergeProps({\n    type: \"button\",\n    \"class\": _ctx.cx('root'),\n    tabindex: _ctx.tabindex,\n    disabled: _ctx.disabled,\n    \"aria-pressed\": _ctx.modelValue,\n    onClick: _cache[0] || (_cache[0] = function () {\n      return $options.onChange && $options.onChange.apply($options, arguments);\n    })\n  }, $options.getPTOptions('root'), {\n    \"data-p-checked\": $options.active,\n    \"data-p-disabled\": _ctx.disabled\n  }), [createElementVNode(\"span\", mergeProps({\n    \"class\": _ctx.cx('content')\n  }, $options.getPTOptions('content')), [renderSlot(_ctx.$slots, \"default\", {}, function () {\n    return [renderSlot(_ctx.$slots, \"icon\", {\n      value: _ctx.modelValue,\n      \"class\": normalizeClass(_ctx.cx('icon'))\n    }, function () {\n      return [_ctx.onIcon || _ctx.offIcon ? (openBlock(), createElementBlock(\"span\", mergeProps({\n        key: 0,\n        \"class\": [_ctx.cx('icon'), _ctx.modelValue ? _ctx.onIcon : _ctx.offIcon]\n      }, $options.getPTOptions('icon')), null, 16)) : createCommentVNode(\"\", true)];\n    }), createElementVNode(\"span\", mergeProps({\n      \"class\": _ctx.cx('label')\n    }, $options.getPTOptions('label')), toDisplayString($options.label), 17)];\n  })], 16)], 16, _hoisted_1)), [[_directive_ripple]]);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-selectbutton {\\n    display: inline-flex;\\n    user-select: none;\\n    vertical-align: bottom;\\n    outline-color: transparent;\\n    border-radius: \".concat(dt('selectbutton.border.radius'), \";\\n}\\n\\n.p-selectbutton .p-togglebutton {\\n    border-radius: 0;\\n    border-width: 1px 1px 1px 0;\\n}\\n\\n.p-selectbutton .p-togglebutton:focus-visible {\\n    position: relative;\\n    z-index: 1;\\n}\\n\\n.p-selectbutton .p-togglebutton:first-child {\\n    border-left-width: 1px;\\n    border-top-left-radius: \").concat(dt('selectbutton.border.radius'), \";\\n    border-bottom-left-radius: \").concat(dt('selectbutton.border.radius'), \";\\n}\\n\\n.p-selectbutton .p-togglebutton:last-child {\\n    border-top-right-radius: \").concat(dt('selectbutton.border.radius'), \";\\n    border-bottom-right-radius: \").concat(dt('selectbutton.border.radius'), \";\\n}\\n\\n.p-selectbutton.p-invalid {\\n    outline: 1px solid \").concat(dt('selectbutton.invalid.border.color'), \";\\n    outline-offset: 0;\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var props = _ref2.props;\n    return ['p-selectbutton p-component', {\n      'p-invalid': props.invalid\n    }];\n  }\n};\nvar SelectButtonStyle = BaseStyle.extend({\n  name: 'selectbutton',\n  theme: theme,\n  classes: classes\n});\n\nexport { SelectButtonStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { resolveFieldData, equals } from '@primeuix/utils/object';\nimport Ripple from 'primevue/ripple';\nimport ToggleButton from 'primevue/togglebutton';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport SelectButtonStyle from 'primevue/selectbutton/style';\nimport { resolveComponent, openBlock, createElementBlock, mergeProps, Fragment, renderList, createBlock, createSlots, withCtx, renderSlot, createElementVNode, toDisplayString } from 'vue';\n\nvar script$1 = {\n  name: 'BaseSelectButton',\n  \"extends\": BaseComponent,\n  props: {\n    modelValue: null,\n    options: Array,\n    optionLabel: null,\n    optionValue: null,\n    optionDisabled: null,\n    multiple: Boolean,\n    allowEmpty: {\n      type: Boolean,\n      \"default\": true\n    },\n    invalid: {\n      type: Boolean,\n      \"default\": false\n    },\n    disabled: Boolean,\n    dataKey: null,\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: SelectButtonStyle,\n  provide: function provide() {\n    return {\n      $pcSelectButton: this,\n      $parentInstance: this\n    };\n  }\n};\n\nfunction _createForOfIteratorHelper(r, e) { var t = \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"]; if (!t) { if (Array.isArray(r) || (t = _unsupportedIterableToArray(r)) || e  ) { t && (r = t); var _n = 0, F = function F() {}; return { s: F, n: function n() { return _n >= r.length ? { done: !0 } : { done: !1, value: r[_n++] }; }, e: function e(r) { throw r; }, f: F }; } throw new TypeError(\"Invalid attempt to iterate non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); } var o, a = !0, u = !1; return { s: function s() { t = t.call(r); }, n: function n() { var r = t.next(); return a = r.done, r; }, e: function e(r) { u = !0, o = r; }, f: function f() { try { a || null == t[\"return\"] || t[\"return\"](); } finally { if (u) throw o; } } }; }\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar script = {\n  name: 'SelectButton',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue', 'change'],\n  methods: {\n    getOptionLabel: function getOptionLabel(option) {\n      return this.optionLabel ? resolveFieldData(option, this.optionLabel) : option;\n    },\n    getOptionValue: function getOptionValue(option) {\n      return this.optionValue ? resolveFieldData(option, this.optionValue) : option;\n    },\n    getOptionRenderKey: function getOptionRenderKey(option) {\n      return this.dataKey ? resolveFieldData(option, this.dataKey) : this.getOptionLabel(option);\n    },\n    getPTOptions: function getPTOptions(option, key) {\n      return this.ptm(key, {\n        context: {\n          active: this.isSelected(option),\n          disabled: this.isOptionDisabled(option),\n          option: option\n        }\n      });\n    },\n    isOptionDisabled: function isOptionDisabled(option) {\n      return this.optionDisabled ? resolveFieldData(option, this.optionDisabled) : false;\n    },\n    onOptionSelect: function onOptionSelect(event, option, index) {\n      var _this = this;\n      if (this.disabled || this.isOptionDisabled(option)) {\n        return;\n      }\n      var selected = this.isSelected(option);\n      if (selected && !this.allowEmpty) {\n        return;\n      }\n      var optionValue = this.getOptionValue(option);\n      var newValue;\n      if (this.multiple) {\n        if (selected) newValue = this.modelValue.filter(function (val) {\n          return !equals(val, optionValue, _this.equalityKey);\n        });else newValue = this.modelValue ? [].concat(_toConsumableArray(this.modelValue), [optionValue]) : [optionValue];\n      } else {\n        newValue = selected ? null : optionValue;\n      }\n      this.focusedIndex = index;\n      this.$emit('update:modelValue', newValue);\n      this.$emit('change', {\n        event: event,\n        value: newValue\n      });\n    },\n    isSelected: function isSelected(option) {\n      var selected = false;\n      var optionValue = this.getOptionValue(option);\n      if (this.multiple) {\n        if (this.modelValue) {\n          var _iterator = _createForOfIteratorHelper(this.modelValue),\n            _step;\n          try {\n            for (_iterator.s(); !(_step = _iterator.n()).done;) {\n              var val = _step.value;\n              if (equals(val, optionValue, this.equalityKey)) {\n                selected = true;\n                break;\n              }\n            }\n          } catch (err) {\n            _iterator.e(err);\n          } finally {\n            _iterator.f();\n          }\n        }\n      } else {\n        selected = equals(this.modelValue, optionValue, this.equalityKey);\n      }\n      return selected;\n    }\n  },\n  computed: {\n    equalityKey: function equalityKey() {\n      return this.optionValue ? null : this.dataKey;\n    }\n  },\n  directives: {\n    ripple: Ripple\n  },\n  components: {\n    ToggleButton: ToggleButton\n  }\n};\n\nvar _hoisted_1 = [\"aria-labelledby\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_ToggleButton = resolveComponent(\"ToggleButton\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root'),\n    role: \"group\",\n    \"aria-labelledby\": _ctx.ariaLabelledby\n  }, _ctx.ptmi('root')), [(openBlock(true), createElementBlock(Fragment, null, renderList(_ctx.options, function (option, index) {\n    return openBlock(), createBlock(_component_ToggleButton, {\n      key: $options.getOptionRenderKey(option),\n      modelValue: $options.isSelected(option),\n      onLabel: $options.getOptionLabel(option),\n      offLabel: $options.getOptionLabel(option),\n      disabled: _ctx.disabled || $options.isOptionDisabled(option),\n      unstyled: _ctx.unstyled,\n      onChange: function onChange($event) {\n        return $options.onOptionSelect($event, option, index);\n      },\n      pt: _ctx.ptm('pcButton')\n    }, createSlots({\n      _: 2\n    }, [_ctx.$slots.option ? {\n      name: \"default\",\n      fn: withCtx(function () {\n        return [renderSlot(_ctx.$slots, \"option\", {\n          option: option,\n          index: index\n        }, function () {\n          return [createElementVNode(\"span\", mergeProps({\n            ref_for: true\n          }, _ctx.ptm('pcButton')['label']), toDisplayString($options.getOptionLabel(option)), 17)];\n        })];\n      }),\n      key: \"0\"\n    } : undefined]), 1032, [\"modelValue\", \"onLabel\", \"offLabel\", \"disabled\", \"unstyled\", \"onChange\", \"pt\"]);\n  }), 128))], 16, _hoisted_1);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <div class=\"_content\">\n    <SelectButton\n      v-model=\"selectedFilter\"\n      :options=\"filters\"\n      :allowEmpty=\"false\"\n      optionLabel=\"name\"\n      @change=\"updateSelectedFilterValue\"\n    />\n    <Select v-model=\"selectedFilterValue\" :options=\"filterValues\" filter />\n  </div>\n  <div class=\"_footer\">\n    <Button type=\"button\" :label=\"$t('add')\" @click=\"submit\"></Button>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { NodeFilter, type FilterAndValue } from '@/services/nodeSearchService'\nimport Button from 'primevue/button'\nimport SelectButton from 'primevue/selectbutton'\nimport Select from 'primevue/select'\nimport { ref, onMounted, computed } from 'vue'\nimport { useNodeDefStore } from '@/stores/nodeDefStore'\n\nconst filters = computed(() => nodeDefStore.nodeSearchService.nodeFilters)\nconst selectedFilter = ref<NodeFilter>()\nconst filterValues = computed(() => selectedFilter.value?.fuseSearch.data ?? [])\nconst selectedFilterValue = ref<string>('')\n\nconst nodeDefStore = useNodeDefStore()\n\nonMounted(() => {\n  selectedFilter.value = nodeDefStore.nodeSearchService.nodeFilters[0]\n  updateSelectedFilterValue()\n})\n\nconst emit = defineEmits<{\n  (event: 'addFilter', filterAndValue: FilterAndValue): void\n}>()\n\nconst updateSelectedFilterValue = () => {\n  if (filterValues.value.includes(selectedFilterValue.value)) {\n    return\n  }\n  selectedFilterValue.value = filterValues.value[0]\n}\n\nconst submit = () => {\n  emit('addFilter', [\n    selectedFilter.value,\n    selectedFilterValue.value\n  ] as FilterAndValue)\n}\n</script>\n\n<style scoped>\n._content {\n  @apply flex flex-col space-y-2;\n}\n\n._footer {\n  @apply flex flex-col pt-4 items-end;\n}\n</style>\n","<template>\n  <Chip :class=\"nodeSource.className\">\n    {{ nodeSource.displayText }}\n  </Chip>\n</template>\n\n<script setup lang=\"ts\">\nimport { getNodeSource } from '@/types/nodeSource'\nimport Chip from 'primevue/chip'\nimport { computed } from 'vue'\n\nconst props = defineProps({\n  python_module: {\n    type: String,\n    required: true\n  }\n})\n\nconst nodeSource = computed(() => getNodeSource(props.python_module))\n</script>\n\n<style scoped>\n.comfy-core,\n.comfy-custom-nodes,\n.comfy-unknown {\n  font-size: small;\n  font-weight: lighter;\n}\n</style>\n","<!-- Reference:\nhttps://github.com/Nuked88/ComfyUI-N-Sidebar/blob/7ae7da4a9761009fb6629bc04c683087a3e168db/app/js/functions/sb_fn.js#L149\n-->\n\n<template>\n  <div class=\"_sb_node_preview\">\n    <div class=\"_sb_table\">\n      <div class=\"node_header\">\n        <div class=\"_sb_dot headdot\"></div>\n        {{ nodeDef.display_name }}\n      </div>\n      <div class=\"_sb_preview_badge\">PREVIEW</div>\n\n      <!-- Node slot I/O -->\n      <div\n        v-for=\"[slotInput, slotOutput] in _.zip(slotInputDefs, allOutputDefs)\"\n        class=\"_sb_row slot_row\"\n        :key=\"(slotInput?.name || '') + (slotOutput?.index.toString() || '')\"\n      >\n        <div class=\"_sb_col\">\n          <div v-if=\"slotInput\" :class=\"['_sb_dot', slotInput.type]\"></div>\n        </div>\n        <div class=\"_sb_col\">{{ slotInput ? slotInput.name : '' }}</div>\n        <div class=\"_sb_col middle-column\"></div>\n        <div class=\"_sb_col _sb_inherit\">\n          {{ slotOutput ? slotOutput.name : '' }}\n        </div>\n        <div class=\"_sb_col\">\n          <div v-if=\"slotOutput\" :class=\"['_sb_dot', slotOutput.type]\"></div>\n        </div>\n      </div>\n\n      <!-- Node widget inputs -->\n      <div\n        v-for=\"widgetInput in widgetInputDefs\"\n        class=\"_sb_row _long_field\"\n        :key=\"widgetInput.name\"\n      >\n        <div class=\"_sb_col _sb_arrow\">&#x25C0;</div>\n        <div class=\"_sb_col\">{{ widgetInput.name }}</div>\n        <div class=\"_sb_col middle-column\"></div>\n        <div class=\"_sb_col _sb_inherit\">\n          {{ truncateDefaultValue(widgetInput.default) }}\n        </div>\n        <div class=\"_sb_col _sb_arrow\">&#x25B6;</div>\n      </div>\n    </div>\n    <div class=\"_sb_description\" v-if=\"nodeDef.description\">\n      {{ nodeDef.description }}\n    </div>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { ComfyNodeDefImpl, useNodeDefStore } from '@/stores/nodeDefStore'\nimport _ from 'lodash'\n\nconst props = defineProps({\n  nodeDef: {\n    type: ComfyNodeDefImpl,\n    required: true\n  }\n})\n\nconst nodeDefStore = useNodeDefStore()\n\nconst nodeDef = props.nodeDef\nconst allInputDefs = nodeDef.input.all\nconst allOutputDefs = nodeDef.output.all\nconst slotInputDefs = allInputDefs.filter(\n  (input) => !nodeDefStore.inputIsWidget(input)\n)\nconst widgetInputDefs = allInputDefs.filter((input) =>\n  nodeDefStore.inputIsWidget(input)\n)\nconst truncateDefaultValue = (value: any, charLimit: number = 32): string => {\n  let stringValue: string\n\n  if (typeof value === 'object' && value !== null) {\n    stringValue = JSON.stringify(value)\n  } else if (Array.isArray(value)) {\n    stringValue = JSON.stringify(value)\n  } else if (typeof value === 'string') {\n    stringValue = value\n  } else {\n    stringValue = String(value)\n  }\n\n  return _.truncate(stringValue, { length: charLimit })\n}\n</script>\n\n<style scoped>\n.slot_row {\n  padding: 2px;\n}\n\n/* Original N-Sidebar styles */\n._sb_dot {\n  width: 8px;\n  height: 8px;\n  border-radius: 50%;\n  background-color: grey;\n}\n\n.node_header {\n  line-height: 1;\n  padding: 8px 13px 7px;\n  background: var(--comfy-input-bg);\n  margin-bottom: 5px;\n  font-size: 15px;\n  text-wrap: nowrap;\n  overflow: hidden;\n  display: flex;\n  align-items: center;\n}\n\n.headdot {\n  width: 10px;\n  height: 10px;\n  float: inline-start;\n  margin-right: 8px;\n}\n\n.IMAGE {\n  background-color: #64b5f6;\n}\n\n.VAE {\n  background-color: #ff6e6e;\n}\n\n.LATENT {\n  background-color: #ff9cf9;\n}\n\n.MASK {\n  background-color: #81c784;\n}\n\n.CONDITIONING {\n  background-color: #ffa931;\n}\n\n.CLIP {\n  background-color: #ffd500;\n}\n\n.MODEL {\n  background-color: #b39ddb;\n}\n\n.CONTROL_NET {\n  background-color: #a5d6a7;\n}\n\n._sb_node_preview {\n  background-color: var(--comfy-menu-bg);\n  font-family: 'Open Sans', sans-serif;\n  font-size: small;\n  color: var(--descrip-text);\n  border: 1px solid var(--descrip-text);\n  min-width: 300px;\n  width: min-content;\n  height: fit-content;\n  z-index: 9999;\n  border-radius: 12px;\n  overflow: hidden;\n  font-size: 12px;\n  padding-bottom: 10px;\n}\n\n._sb_node_preview ._sb_description {\n  margin: 10px;\n  padding: 6px;\n  background: var(--border-color);\n  border-radius: 5px;\n  font-style: italic;\n  font-weight: 500;\n  font-size: 0.9rem;\n  word-break: break-word;\n}\n\n._sb_table {\n  display: grid;\n\n  grid-column-gap: 10px;\n  /* Spazio tra le colonne */\n  width: 100%;\n  /* Imposta la larghezza della tabella al 100% del contenitore */\n}\n\n._sb_row {\n  display: grid;\n  grid-template-columns: 10px 1fr 1fr 1fr 10px;\n  grid-column-gap: 10px;\n  align-items: center;\n  padding-left: 9px;\n  padding-right: 9px;\n}\n\n._sb_row_string {\n  grid-template-columns: 10px 1fr 1fr 10fr 1fr;\n}\n\n._sb_col {\n  border: 0px solid #000;\n  display: flex;\n  align-items: flex-end;\n  flex-direction: row-reverse;\n  flex-wrap: nowrap;\n  align-content: flex-start;\n  justify-content: flex-end;\n}\n\n._sb_inherit {\n  display: inherit;\n}\n\n._long_field {\n  background: var(--bg-color);\n  border: 2px solid var(--border-color);\n  margin: 5px 5px 0 5px;\n  border-radius: 10px;\n  line-height: 1.7;\n  text-wrap: nowrap;\n}\n\n._sb_arrow {\n  color: var(--fg-color);\n}\n\n._sb_preview_badge {\n  text-align: center;\n  background: var(--comfy-input-bg);\n  font-weight: bold;\n  color: var(--error-text);\n}\n</style>\n","<template>\n  <div class=\"comfy-vue-node-search-container\">\n    <div class=\"comfy-vue-node-preview-container\" v-if=\"enableNodePreview\">\n      <NodePreview\n        :nodeDef=\"hoveredSuggestion\"\n        :key=\"hoveredSuggestion?.name || ''\"\n        v-if=\"hoveredSuggestion\"\n      />\n    </div>\n\n    <Button\n      icon=\"pi pi-filter\"\n      severity=\"secondary\"\n      class=\"_filter-button\"\n      @click=\"nodeSearchFilterVisible = true\"\n    />\n    <Dialog v-model:visible=\"nodeSearchFilterVisible\" class=\"_dialog\">\n      <template #header>\n        <h3>Add node filter condition</h3>\n      </template>\n      <div class=\"_dialog-body\">\n        <NodeSearchFilter @addFilter=\"onAddFilter\"></NodeSearchFilter>\n      </div>\n    </Dialog>\n\n    <AutoCompletePlus\n      :model-value=\"props.filters\"\n      class=\"comfy-vue-node-search-box\"\n      scrollHeight=\"40vh\"\n      :placeholder=\"placeholder\"\n      :input-id=\"inputId\"\n      append-to=\"self\"\n      :suggestions=\"suggestions\"\n      :min-length=\"0\"\n      :delay=\"100\"\n      @complete=\"search($event.query)\"\n      @option-select=\"emit('addNode', $event.value)\"\n      @focused-option-changed=\"setHoverSuggestion($event)\"\n      complete-on-focus\n      auto-option-focus\n      force-selection\n      multiple\n    >\n      <template v-slot:option=\"{ option }\">\n        <div class=\"option-container\">\n          <div class=\"option-display-name\">\n            <span\n              v-html=\"highlightQuery(option.display_name, currentQuery)\"\n            ></span>\n            <div v-if=\"showCategory\" class=\"option-category\">\n              {{ option.category.replaceAll('/', ' > ') }}\n            </div>\n          </div>\n          <div class=\"option-badges\">\n            <Tag\n              v-if=\"option.experimental\"\n              :value=\"$t('experimental')\"\n              severity=\"primary\"\n            />\n            <Tag\n              v-if=\"option.deprecated\"\n              :value=\"$t('deprecated')\"\n              severity=\"danger\"\n            />\n            <NodeSourceChip\n              v-if=\"option.python_module !== undefined\"\n              :python_module=\"option.python_module\"\n            />\n          </div>\n        </div>\n      </template>\n      <!-- FilterAndValue -->\n      <template v-slot:chip=\"{ value }\">\n        <SearchFilterChip\n          @remove=\"onRemoveFilter($event, value)\"\n          :text=\"value[1]\"\n          :badge=\"value[0].invokeSequence.toUpperCase()\"\n          :badge-class=\"value[0].invokeSequence + '-badge'\"\n        />\n      </template>\n    </AutoCompletePlus>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { computed, onMounted, ref } from 'vue'\nimport AutoCompletePlus from '@/components/primevueOverride/AutoCompletePlus.vue'\nimport Tag from 'primevue/tag'\nimport Dialog from 'primevue/dialog'\nimport Button from 'primevue/button'\nimport NodeSearchFilter from '@/components/searchbox/NodeSearchFilter.vue'\nimport NodeSourceChip from '@/components/node/NodeSourceChip.vue'\nimport { type FilterAndValue } from '@/services/nodeSearchService'\nimport NodePreview from '@/components/node/NodePreview.vue'\nimport { ComfyNodeDefImpl, useNodeDefStore } from '@/stores/nodeDefStore'\nimport { useSettingStore } from '@/stores/settingStore'\nimport { useI18n } from 'vue-i18n'\nimport SearchFilterChip from '../common/SearchFilterChip.vue'\n\nconst settingStore = useSettingStore()\nconst { t } = useI18n()\n\nconst enableNodePreview = computed(() =>\n  settingStore.get('Comfy.NodeSearchBoxImpl.NodePreview')\n)\nconst showCategory = computed(() =>\n  settingStore.get('Comfy.NodeSearchBoxImpl.ShowCategory')\n)\n\nconst props = defineProps({\n  filters: {\n    type: Array<FilterAndValue>\n  },\n  searchLimit: {\n    type: Number,\n    default: 64\n  }\n})\n\nconst nodeSearchFilterVisible = ref(false)\nconst inputId = `comfy-vue-node-search-box-input-${Math.random()}`\nconst suggestions = ref<ComfyNodeDefImpl[]>([])\nconst hoveredSuggestion = ref<ComfyNodeDefImpl | null>(null)\nconst currentQuery = ref('')\nconst placeholder = computed(() => {\n  return props.filters.length === 0 ? t('searchNodes') + '...' : ''\n})\n\nconst search = (query: string) => {\n  currentQuery.value = query\n  suggestions.value = [\n    ...useNodeDefStore().nodeSearchService.searchNode(query, props.filters, {\n      limit: props.searchLimit\n    })\n  ]\n}\n\nconst highlightQuery = (text: string, query: string) => {\n  if (!query) return text\n  const regex = new RegExp(`(${query})`, 'gi')\n  return text.replace(regex, '<span class=\"highlight\">$1</span>')\n}\n\nconst emit = defineEmits(['addFilter', 'removeFilter', 'addNode'])\n\nconst reFocusInput = () => {\n  const inputElement = document.getElementById(inputId) as HTMLInputElement\n  if (inputElement) {\n    inputElement.blur()\n    inputElement.focus()\n  }\n}\n\nonMounted(reFocusInput)\nconst onAddFilter = (filterAndValue: FilterAndValue) => {\n  nodeSearchFilterVisible.value = false\n  emit('addFilter', filterAndValue)\n  reFocusInput()\n}\nconst onRemoveFilter = (event: Event, filterAndValue: FilterAndValue) => {\n  event.stopPropagation()\n  event.preventDefault()\n  emit('removeFilter', filterAndValue)\n  reFocusInput()\n}\nconst setHoverSuggestion = (index: number) => {\n  if (index === -1) {\n    hoveredSuggestion.value = null\n    return\n  }\n  const value = suggestions.value[index]\n  hoveredSuggestion.value = value\n}\n</script>\n\n<style scoped>\n.comfy-vue-node-search-container {\n  @apply flex justify-center items-center w-full min-w-96;\n}\n\n.comfy-vue-node-search-container * {\n  pointer-events: auto;\n}\n\n.comfy-vue-node-preview-container {\n  position: absolute;\n  left: -350px;\n  top: 50px;\n}\n\n.comfy-vue-node-search-box {\n  @apply z-10 flex-grow;\n}\n\n.option-container {\n  @apply flex justify-between items-center px-2 py-0 cursor-pointer overflow-hidden w-full;\n}\n\n.option-display-name {\n  @apply font-semibold flex flex-col;\n}\n\n.option-category {\n  @apply font-light text-sm text-gray-400 overflow-hidden text-ellipsis;\n  /* Keeps the text on a single line by default */\n  white-space: nowrap;\n}\n\n:deep(.highlight) {\n  background-color: var(--p-primary-color);\n  color: var(--p-primary-contrast-color);\n  font-weight: bold;\n  border-radius: 0.25rem;\n  padding: 0rem 0.125rem;\n  margin: -0.125rem 0.125rem;\n}\n\n._filter-button {\n  z-index: 10;\n}\n\n._dialog {\n  @apply min-w-96;\n}\n</style>\n","import {\n  ConnectingLink,\n  LGraphNode,\n  Vector2,\n  INodeInputSlot,\n  INodeOutputSlot,\n  INodeSlot\n} from '@comfyorg/litegraph'\n\nexport class ConnectingLinkImpl implements ConnectingLink {\n  node: LGraphNode\n  slot: number\n  input: INodeInputSlot | null\n  output: INodeOutputSlot | null\n  pos: Vector2\n\n  constructor(\n    node: LGraphNode,\n    slot: number,\n    input: INodeInputSlot | null,\n    output: INodeOutputSlot | null,\n    pos: Vector2\n  ) {\n    this.node = node\n    this.slot = slot\n    this.input = input\n    this.output = output\n    this.pos = pos\n  }\n\n  static createFromPlainObject(obj: ConnectingLink) {\n    return new ConnectingLinkImpl(\n      obj.node,\n      obj.slot,\n      obj.input,\n      obj.output,\n      obj.pos\n    )\n  }\n\n  get type(): string | null {\n    const result = this.input ? this.input.type : this.output.type\n    return result === -1 ? null : result\n  }\n\n  /**\n   * Which slot type is release and need to be reconnected.\n   * - 'output' means we need a new node's outputs slot to connect with this link\n   */\n  get releaseSlotType(): 'input' | 'output' {\n    return this.output ? 'input' : 'output'\n  }\n\n  connectTo(newNode: LGraphNode) {\n    const newNodeSlots =\n      this.releaseSlotType === 'output' ? newNode.outputs : newNode.inputs\n    if (!newNodeSlots) return\n\n    const newNodeSlot = newNodeSlots.findIndex(\n      (slot: INodeSlot) =>\n        slot.type === this.type || slot.type === '*' || this.type === '*'\n    )\n\n    if (newNodeSlot === -1) {\n      console.warn(\n        `Could not find slot with type ${this.type} on node ${newNode.title}. This should never happen`\n      )\n      return\n    }\n\n    if (this.releaseSlotType === 'input') {\n      this.node.connect(this.slot, newNode, newNodeSlot)\n    } else {\n      newNode.connect(newNodeSlot, this.node, this.slot)\n    }\n  }\n}\n\nexport type CanvasDragAndDropData<T = any> = {\n  type: 'add-node'\n  data: T\n}\n","<template>\n  <div>\n    <Dialog\n      v-model:visible=\"visible\"\n      modal\n      :dismissable-mask=\"dismissable\"\n      @hide=\"clearFilters\"\n      :pt=\"{\n        root: { class: 'invisible-dialog-root' },\n        mask: { class: 'node-search-box-dialog-mask' },\n        transition: {\n          enterFromClass: 'opacity-0 scale-75',\n          // 100ms is the duration of the transition in the dialog component\n          enterActiveClass: 'transition-all duration-100 ease-out',\n          leaveActiveClass: 'transition-all duration-100 ease-in',\n          leaveToClass: 'opacity-0 scale-75'\n        }\n      }\"\n    >\n      <template #container>\n        <NodeSearchBox\n          :filters=\"nodeFilters\"\n          @add-filter=\"addFilter\"\n          @remove-filter=\"removeFilter\"\n          @add-node=\"addNode\"\n        />\n      </template>\n    </Dialog>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { app } from '@/scripts/app'\nimport { computed, onMounted, onUnmounted, reactive, ref } from 'vue'\nimport NodeSearchBox from './NodeSearchBox.vue'\nimport Dialog from 'primevue/dialog'\nimport { LiteGraphCanvasEvent, ConnectingLink } from '@comfyorg/litegraph'\nimport { FilterAndValue } from '@/services/nodeSearchService'\nimport { ComfyNodeDefImpl, useNodeDefStore } from '@/stores/nodeDefStore'\nimport { ConnectingLinkImpl } from '@/types/litegraphTypes'\nimport { useSettingStore } from '@/stores/settingStore'\nimport { LinkReleaseTriggerMode } from '@/types/searchBoxTypes'\n\nconst settingStore = useSettingStore()\n\ninterface LiteGraphPointerEvent extends Event {\n  canvasX: number\n  canvasY: number\n}\n\nconst visible = ref(false)\nconst dismissable = ref(true)\nconst triggerEvent = ref<LiteGraphCanvasEvent | null>(null)\nconst getNewNodeLocation = (): [number, number] => {\n  if (triggerEvent.value === null) {\n    return [100, 100]\n  }\n\n  const originalEvent = triggerEvent.value.detail\n    .originalEvent as LiteGraphPointerEvent\n  return [originalEvent.canvasX, originalEvent.canvasY]\n}\nconst nodeFilters = reactive([])\nconst addFilter = (filter: FilterAndValue) => {\n  nodeFilters.push(filter)\n}\nconst removeFilter = (filter: FilterAndValue) => {\n  const index = nodeFilters.findIndex((f) => f === filter)\n  if (index !== -1) {\n    nodeFilters.splice(index, 1)\n  }\n}\nconst clearFilters = () => {\n  nodeFilters.splice(0, nodeFilters.length)\n}\nconst closeDialog = () => {\n  visible.value = false\n}\n\nconst addNode = (nodeDef: ComfyNodeDefImpl) => {\n  const node = app.addNodeOnGraph(nodeDef, { pos: getNewNodeLocation() })\n\n  const eventDetail = triggerEvent.value.detail\n  if (eventDetail.subType === 'empty-release') {\n    eventDetail.linkReleaseContext.links.forEach((link: ConnectingLink) => {\n      ConnectingLinkImpl.createFromPlainObject(link).connectTo(node)\n    })\n  }\n\n  // TODO: This is not robust timing-wise.\n  // PrimeVue complains about the dialog being closed before the event selecting\n  // item is fully processed.\n  window.setTimeout(() => {\n    closeDialog()\n  }, 100)\n}\n\nconst linkReleaseTriggerMode = computed(() => {\n  return settingStore.get('Comfy.NodeSearchBoxImpl.LinkReleaseTrigger')\n})\n\nconst canvasEventHandler = (e: LiteGraphCanvasEvent) => {\n  const shiftPressed = (e.detail.originalEvent as KeyboardEvent).shiftKey\n\n  if (e.detail.subType === 'empty-release') {\n    if (\n      (linkReleaseTriggerMode.value === LinkReleaseTriggerMode.HOLD_SHIFT &&\n        !shiftPressed) ||\n      (linkReleaseTriggerMode.value === LinkReleaseTriggerMode.NOT_HOLD_SHIFT &&\n        shiftPressed)\n    ) {\n      return\n    }\n\n    const context = e.detail.linkReleaseContext\n    if (context.links.length === 0) {\n      console.warn('Empty release with no links! This should never happen')\n      return\n    }\n    const firstLink = ConnectingLinkImpl.createFromPlainObject(context.links[0])\n    const filter = useNodeDefStore().nodeSearchService.getFilterById(\n      firstLink.releaseSlotType\n    )\n    const dataType = firstLink.type\n    addFilter([filter, dataType])\n  }\n  triggerEvent.value = e\n  visible.value = true\n  // Prevent the dialog from being dismissed immediately\n  dismissable.value = false\n  setTimeout(() => {\n    dismissable.value = true\n  }, 300)\n}\n\nconst handleEscapeKeyPress = (event) => {\n  if (event.key === 'Escape') {\n    closeDialog()\n  }\n}\n\nonMounted(() => {\n  document.addEventListener('litegraph:canvas', canvasEventHandler)\n  document.addEventListener('keydown', handleEscapeKeyPress)\n})\n\nonUnmounted(() => {\n  document.removeEventListener('litegraph:canvas', canvasEventHandler)\n  document.removeEventListener('keydown', handleEscapeKeyPress)\n})\n</script>\n\n<style>\n.invisible-dialog-root {\n  width: 30%;\n  min-width: 24rem;\n  max-width: 48rem;\n  border: 0 !important;\n  background-color: transparent !important;\n  margin-top: 25vh;\n}\n\n.node-search-box-dialog-mask {\n  align-items: flex-start !important;\n}\n</style>\n","<template>\n  <div\n    v-if=\"tooltipText\"\n    ref=\"tooltipRef\"\n    class=\"node-tooltip\"\n    :style=\"{ left, top }\"\n  >\n    {{ tooltipText }}\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { nextTick, ref, onBeforeUnmount, watch } from 'vue'\nimport { LiteGraph } from '@comfyorg/litegraph'\nimport { app as comfyApp } from '@/scripts/app'\nimport { useNodeDefStore } from '@/stores/nodeDefStore'\nimport { useSettingStore } from '@/stores/settingStore'\n\nlet idleTimeout: number\nconst nodeDefStore = useNodeDefStore()\nconst settingStore = useSettingStore()\nconst tooltipRef = ref<HTMLDivElement>()\nconst tooltipText = ref('')\nconst left = ref<string>()\nconst top = ref<string>()\n\nconst getHoveredWidget = () => {\n  const node = comfyApp.canvas.node_over\n  if (!node.widgets) return\n\n  const graphPos = comfyApp.canvas.graph_mouse\n  const x = graphPos[0] - node.pos[0]\n  const y = graphPos[1] - node.pos[1]\n\n  for (const w of node.widgets) {\n    let widgetWidth: number, widgetHeight: number\n    if (w.computeSize) {\n      ;[widgetWidth, widgetHeight] = w.computeSize(node.size[0])\n    } else {\n      widgetWidth = (w as { width?: number }).width || node.size[0]\n      widgetHeight = LiteGraph.NODE_WIDGET_HEIGHT\n    }\n\n    if (\n      w.last_y !== undefined &&\n      x >= 6 &&\n      x <= widgetWidth - 12 &&\n      y >= w.last_y &&\n      y <= w.last_y + widgetHeight\n    ) {\n      return w\n    }\n  }\n}\n\nconst hideTooltip = () => (tooltipText.value = null)\n\nconst showTooltip = async (tooltip: string | null | undefined) => {\n  if (!tooltip) return\n\n  left.value = comfyApp.canvas.mouse[0] + 'px'\n  top.value = comfyApp.canvas.mouse[1] + 'px'\n  tooltipText.value = tooltip\n\n  await nextTick()\n\n  const rect = tooltipRef.value.getBoundingClientRect()\n  if (rect.right > window.innerWidth) {\n    left.value = comfyApp.canvas.mouse[0] - rect.width + 'px'\n  }\n\n  if (rect.top < 0) {\n    top.value = comfyApp.canvas.mouse[1] + rect.height + 'px'\n  }\n}\n\nconst onIdle = () => {\n  const { canvas } = comfyApp\n  const node = canvas.node_over\n  if (!node) return\n\n  const ctor = node.constructor as { title_mode?: 0 | 1 | 2 | 3 }\n  const nodeDef = nodeDefStore.nodeDefsByName[node.type]\n\n  if (\n    ctor.title_mode !== LiteGraph.NO_TITLE &&\n    canvas.graph_mouse[1] < node.pos[1] // If we are over a node, but not within the node then we are on its title\n  ) {\n    return showTooltip(nodeDef.description)\n  }\n\n  if (node.flags?.collapsed) return\n\n  const inputSlot = canvas.isOverNodeInput(\n    node,\n    canvas.graph_mouse[0],\n    canvas.graph_mouse[1],\n    [0, 0]\n  )\n  if (inputSlot !== -1) {\n    const inputName = node.inputs[inputSlot].name\n    return showTooltip(nodeDef.input.getInput(inputName)?.tooltip)\n  }\n\n  const outputSlot = canvas.isOverNodeOutput(\n    node,\n    canvas.graph_mouse[0],\n    canvas.graph_mouse[1],\n    [0, 0]\n  )\n  if (outputSlot !== -1) {\n    return showTooltip(nodeDef.output.all?.[outputSlot].tooltip)\n  }\n\n  const widget = getHoveredWidget()\n  // Dont show for DOM widgets, these use native browser tooltips as we dont get proper mouse events on these\n  if (widget && !widget.element) {\n    return showTooltip(\n      widget.tooltip ?? nodeDef.input.getInput(widget.name)?.tooltip\n    )\n  }\n}\n\nconst onMouseMove = (e: MouseEvent) => {\n  hideTooltip()\n  clearTimeout(idleTimeout)\n\n  if ((e.target as Node).nodeName !== 'CANVAS') return\n  idleTimeout = window.setTimeout(onIdle, 500)\n}\n\nwatch(\n  () => settingStore.get('Comfy.EnableTooltips'),\n  (enabled) => {\n    if (enabled) {\n      window.addEventListener('mousemove', onMouseMove)\n      window.addEventListener('click', hideTooltip)\n    } else {\n      window.removeEventListener('mousemove', onMouseMove)\n      window.removeEventListener('click', hideTooltip)\n    }\n  },\n  { immediate: true }\n)\n\nonBeforeUnmount(() => {\n  window.removeEventListener('mousemove', onMouseMove)\n  window.removeEventListener('click', hideTooltip)\n})\n</script>\n\n<style lang=\"css\" scoped>\n.node-tooltip {\n  background: var(--comfy-input-bg);\n  border-radius: 5px;\n  box-shadow: 0 0 5px rgba(0, 0, 0, 0.4);\n  color: var(--input-text);\n  font-family: sans-serif;\n  left: 0;\n  max-width: 30vw;\n  padding: 4px 8px;\n  position: absolute;\n  top: 0;\n  transform: translate(5px, calc(-100% - 5px));\n  white-space: pre-wrap;\n  z-index: 99999;\n}\n</style>\n","function _arrayWithHoles(r) {\n  if (Array.isArray(r)) return r;\n}\nexport { _arrayWithHoles as default };","function _iterableToArrayLimit(r, l) {\n  var t = null == r ? null : \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"];\n  if (null != t) {\n    var e,\n      n,\n      i,\n      u,\n      a = [],\n      f = !0,\n      o = !1;\n    try {\n      if (i = (t = t.call(r)).next, 0 === l) {\n        if (Object(t) !== t) return;\n        f = !1;\n      } else for (; !(f = (e = i.call(t)).done) && (a.push(e.value), a.length !== l); f = !0);\n    } catch (r) {\n      o = !0, n = r;\n    } finally {\n      try {\n        if (!f && null != t[\"return\"] && (u = t[\"return\"](), Object(u) !== u)) return;\n      } finally {\n        if (o) throw n;\n      }\n    }\n    return a;\n  }\n}\nexport { _iterableToArrayLimit as default };","function _arrayLikeToArray(r, a) {\n  (null == a || a > r.length) && (a = r.length);\n  for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e];\n  return n;\n}\nexport { _arrayLikeToArray as default };","import arrayLikeToArray from \"./arrayLikeToArray.js\";\nfunction _unsupportedIterableToArray(r, a) {\n  if (r) {\n    if (\"string\" == typeof r) return arrayLikeToArray(r, a);\n    var t = {}.toString.call(r).slice(8, -1);\n    return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? arrayLikeToArray(r, a) : void 0;\n  }\n}\nexport { _unsupportedIterableToArray as default };","function _nonIterableRest() {\n  throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}\nexport { _nonIterableRest as default };","import arrayWithHoles from \"./arrayWithHoles.js\";\nimport iterableToArrayLimit from \"./iterableToArrayLimit.js\";\nimport unsupportedIterableToArray from \"./unsupportedIterableToArray.js\";\nimport nonIterableRest from \"./nonIterableRest.js\";\nfunction _slicedToArray(r, e) {\n  return arrayWithHoles(r) || iterableToArrayLimit(r, e) || unsupportedIterableToArray(r, e) || nonIterableRest();\n}\nexport { _slicedToArray as default };","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.bind = void 0;\nfunction bind(target, _a) {\n    var type = _a.type, listener = _a.listener, options = _a.options;\n    target.addEventListener(type, listener, options);\n    return function unbind() {\n        target.removeEventListener(type, listener, options);\n    };\n}\nexports.bind = bind;\n","\"use strict\";\nvar __assign = (this && this.__assign) || function () {\n    __assign = Object.assign || function(t) {\n        for (var s, i = 1, n = arguments.length; i < n; i++) {\n            s = arguments[i];\n            for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p))\n                t[p] = s[p];\n        }\n        return t;\n    };\n    return __assign.apply(this, arguments);\n};\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.bindAll = void 0;\nvar bind_1 = require(\"./bind\");\nfunction toOptions(value) {\n    if (typeof value === 'undefined') {\n        return undefined;\n    }\n    if (typeof value === 'boolean') {\n        return {\n            capture: value,\n        };\n    }\n    return value;\n}\nfunction getBinding(original, sharedOptions) {\n    if (sharedOptions == null) {\n        return original;\n    }\n    var binding = __assign(__assign({}, original), { options: __assign(__assign({}, toOptions(sharedOptions)), toOptions(original.options)) });\n    return binding;\n}\nfunction bindAll(target, bindings, sharedOptions) {\n    var unbinds = bindings.map(function (original) {\n        var binding = getBinding(original, sharedOptions);\n        return (0, bind_1.bind)(target, binding);\n    });\n    return function unbindAll() {\n        unbinds.forEach(function (unbind) { return unbind(); });\n    };\n}\nexports.bindAll = bindAll;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.bindAll = exports.bind = void 0;\nvar bind_1 = require(\"./bind\");\nObject.defineProperty(exports, \"bind\", { enumerable: true, get: function () { return bind_1.bind; } });\nvar bind_all_1 = require(\"./bind-all\");\nObject.defineProperty(exports, \"bindAll\", { enumerable: true, get: function () { return bind_all_1.bindAll; } });\n","// pulling this into a separate file so adapter(s) that don't\n// need the honey pot can pay as little as possible for it.\nexport var honeyPotDataAttribute = 'data-pdnd-honey-pot';","import { honeyPotDataAttribute } from './honey-pot-data-attribute';\nexport function isHoneyPotElement(target) {\n  return target instanceof Element && target.hasAttribute(honeyPotDataAttribute);\n}","import _slicedToArray from \"@babel/runtime/helpers/slicedToArray\";\nimport { isHoneyPotElement } from './is-honey-pot-element';\nexport function getElementFromPointWithoutHoneypot(client) {\n  // eslint-disable-next-line no-restricted-syntax\n  var _document$elementsFro = document.elementsFromPoint(client.x, client.y),\n    _document$elementsFro2 = _slicedToArray(_document$elementsFro, 2),\n    top = _document$elementsFro2[0],\n    second = _document$elementsFro2[1];\n  if (!top) {\n    return null;\n  }\n  if (isHoneyPotElement(top)) {\n    return second !== null && second !== void 0 ? second : null;\n  }\n  return top;\n}","function _typeof(o) {\n  \"@babel/helpers - typeof\";\n\n  return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) {\n    return typeof o;\n  } : function (o) {\n    return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o;\n  }, _typeof(o);\n}\nexport { _typeof as default };","import _typeof from \"./typeof.js\";\nfunction toPrimitive(t, r) {\n  if (\"object\" != _typeof(t) || !t) return t;\n  var e = t[Symbol.toPrimitive];\n  if (void 0 !== e) {\n    var i = e.call(t, r || \"default\");\n    if (\"object\" != _typeof(i)) return i;\n    throw new TypeError(\"@@toPrimitive must return a primitive value.\");\n  }\n  return (\"string\" === r ? String : Number)(t);\n}\nexport { toPrimitive as default };","import _typeof from \"./typeof.js\";\nimport toPrimitive from \"./toPrimitive.js\";\nfunction toPropertyKey(t) {\n  var i = toPrimitive(t, \"string\");\n  return \"symbol\" == _typeof(i) ? i : i + \"\";\n}\nexport { toPropertyKey as default };","import toPropertyKey from \"./toPropertyKey.js\";\nfunction _defineProperty(e, r, t) {\n  return (r = toPropertyKey(r)) in e ? Object.defineProperty(e, r, {\n    value: t,\n    enumerable: !0,\n    configurable: !0,\n    writable: !0\n  }) : e[r] = t, e;\n}\nexport { _defineProperty as default };","// Maximum possible z-index\n// https://stackoverflow.com/questions/491052/minimum-and-maximum-value-of-z-index\nexport var maxZIndex = 2147483647;","import _defineProperty from \"@babel/runtime/helpers/defineProperty\";\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nimport { bind, bindAll } from 'bind-event-listener';\nimport { maxZIndex } from '../util/max-z-index';\nimport { honeyPotDataAttribute } from './honey-pot-data-attribute';\nvar honeyPotSize = 2;\nvar halfHoneyPotSize = honeyPotSize / 2;\n\n/**\n * `clientX` and `clientY` can be in sub pixels (eg `2.332`)\n * However, browser hitbox testing is commonly do to the closest pixel.\n *\n * → https://issues.chromium.org/issues/40940531\n *\n * To be sure that the honey pot will be over the `client` position,\n * we `.floor()` `clientX` and`clientY` and then make it `2px` in size.\n **/\nfunction floorToClosestPixel(point) {\n  return {\n    x: Math.floor(point.x),\n    y: Math.floor(point.y)\n  };\n}\n\n/**\n * We want to make sure the honey pot sits around the users position.\n * This seemed to be the most resilient while testing.\n */\nfunction pullBackByHalfHoneyPotSize(point) {\n  return {\n    x: point.x - halfHoneyPotSize,\n    y: point.y - halfHoneyPotSize\n  };\n}\n\n/**\n * Prevent the honey pot from changing the window size.\n * This is super unlikely to occur, but just being safe.\n */\nfunction preventGoingBackwardsOffScreen(point) {\n  return {\n    x: Math.max(point.x, 0),\n    y: Math.max(point.y, 0)\n  };\n}\n\n/**\n * Prevent the honey pot from changing the window size.\n * This is super unlikely to occur, but just being safe.\n */\nfunction preventGoingForwardsOffScreen(point) {\n  return {\n    x: Math.min(point.x, window.innerWidth - honeyPotSize),\n    y: Math.min(point.y, window.innerHeight - honeyPotSize)\n  };\n}\n\n/**\n * Create a `2x2` `DOMRect` around the `client` position\n */\nfunction getHoneyPotRectFor(_ref) {\n  var client = _ref.client;\n  var point = preventGoingForwardsOffScreen(preventGoingBackwardsOffScreen(pullBackByHalfHoneyPotSize(floorToClosestPixel(client))));\n\n  // When debugging, it is helpful to\n  // make this element a bit bigger\n  return DOMRect.fromRect({\n    x: point.x,\n    y: point.y,\n    width: honeyPotSize,\n    height: honeyPotSize\n  });\n}\nfunction getRectStyles(_ref2) {\n  var clientRect = _ref2.clientRect;\n  return {\n    left: \"\".concat(clientRect.left, \"px\"),\n    top: \"\".concat(clientRect.top, \"px\"),\n    width: \"\".concat(clientRect.width, \"px\"),\n    height: \"\".concat(clientRect.height, \"px\")\n  };\n}\nfunction isWithin(_ref3) {\n  var client = _ref3.client,\n    clientRect = _ref3.clientRect;\n  return (\n    // is within horizontal bounds\n    client.x >= clientRect.x && client.x <= clientRect.x + clientRect.width &&\n    // is within vertical bounds\n    client.y >= clientRect.y && client.y <= clientRect.y + clientRect.height\n  );\n}\n/**\n * The honey pot fix is designed to get around a painful bug in all browsers.\n *\n * [Overview](https://www.youtube.com/watch?v=udE9qbFTeQg)\n *\n * **Background**\n *\n * When a drag starts, browsers incorrectly think that the users pointer is\n * still depressed where the drag started. Any element that goes under this position\n * will be entered into, causing `\"mouseenter\"` events and `\":hover\"` styles to be applied.\n *\n * _This is a violation of the spec_\n *\n * > \"From the moment that the user agent is to initiate the drag-and-drop operation,\n * > until the end \tof the drag-and-drop operation, device input events\n * > (e.g. mouse and keyboard events) must be suppressed.\"\n * >\n * > - https://html.spec.whatwg.org/multipage/dnd.html#drag-and-drop-processing-model\n *\n * _Some impacts_\n *\n * - `\":hover\"` styles being applied where they shouldn't (looks messy)\n * - components such as tooltips responding to `\"mouseenter\"` can show during a drag,\n *   and on an element the user isn't even over\n *\n * Bug: https://issues.chromium.org/issues/41129937\n *\n * **Honey pot fix**\n *\n * 1. Create an element where the browser thinks the depressed pointer is\n *    to absorb the incorrect pointer events\n * 2. Remove that element when it is no longer needed\n */\nfunction mountHoneyPot(_ref4) {\n  var initial = _ref4.initial;\n  var element = document.createElement('div');\n  element.setAttribute(honeyPotDataAttribute, 'true');\n\n  // can shift during the drag thanks to Firefox\n  var clientRect = getHoneyPotRectFor({\n    client: initial\n  });\n  Object.assign(element.style, _objectSpread(_objectSpread({\n    // Setting a background color explicitly to avoid any inherited styles.\n    // Looks like this could be `opacity: 0`, but worried that _might_\n    // cause the element to be ignored on some platforms.\n    // When debugging, set backgroundColor to something like \"red\".\n    backgroundColor: 'transparent',\n    position: 'fixed',\n    // Being explicit to avoid inheriting styles\n    padding: 0,\n    margin: 0,\n    boxSizing: 'border-box'\n  }, getRectStyles({\n    clientRect: clientRect\n  })), {}, {\n    // We want this element to absorb pointer events,\n    // it's kind of the whole point 😉\n    pointerEvents: 'auto',\n    // Want to make sure the honey pot is top of everything else.\n    // Don't need to worry about native drag previews, as they will\n    // have been rendered (and removed) before the honey pot is rendered\n    zIndex: maxZIndex\n  }));\n  document.body.appendChild(element);\n\n  /**\n   *  🦊 In firefox we can get `\"pointermove\"` events after the drag\n   * has started, which is a spec violation.\n   * The final `\"pointermove\"` will reveal where the \"depressed\" position\n   * is for our honey pot fix.\n   */\n  var unbindPointerMove = bind(window, {\n    type: 'pointermove',\n    listener: function listener(event) {\n      var client = {\n        x: event.clientX,\n        y: event.clientY\n      };\n      clientRect = getHoneyPotRectFor({\n        client: client\n      });\n      Object.assign(element.style, getRectStyles({\n        clientRect: clientRect\n      }));\n    },\n    // using capture so we are less likely to be impacted by event stopping\n    options: {\n      capture: true\n    }\n  });\n  return function finish(_ref5) {\n    var current = _ref5.current;\n    // Don't need this any more\n    unbindPointerMove();\n\n    // If the user is hover the honey pot, we remove it\n    // so that the user can continue to interact with the page normally.\n    if (isWithin({\n      client: current,\n      clientRect: clientRect\n    })) {\n      element.remove();\n      return;\n    }\n    function cleanup() {\n      unbindPostDragEvents();\n      element.remove();\n    }\n    var unbindPostDragEvents = bindAll(window, [{\n      type: 'pointerdown',\n      listener: cleanup\n    }, {\n      type: 'pointermove',\n      listener: cleanup\n    }, {\n      type: 'focusin',\n      listener: cleanup\n    }, {\n      type: 'focusout',\n      listener: cleanup\n    },\n    // a 'pointerdown' should happen before 'dragstart', but just being super safe\n    {\n      type: 'dragstart',\n      listener: cleanup\n    },\n    // if the user has dragged something out of the window\n    // and then is dragging something back into the window\n    // the first events we will see are \"dragenter\" (and then \"dragover\").\n    // So if we see any of these we need to clear the post drag fix.\n    {\n      type: 'dragenter',\n      listener: cleanup\n    }, {\n      type: 'dragover',\n      listener: cleanup\n    }\n\n    // Not adding a \"wheel\" event listener, as \"wheel\" by itself does not\n    // resolve the bug.\n    ], {\n      // Using `capture` so less likely to be impacted by other code stopping events\n      capture: true\n    });\n  };\n}\nexport function makeHoneyPotFix() {\n  var latestPointerMove = null;\n  function bindEvents() {\n    // For sanity, only collecting this value from when events are first bound.\n    // This prevents the case where a super old \"pointermove\" could be used\n    // from a prior interaction.\n    latestPointerMove = null;\n    return bind(window, {\n      type: 'pointermove',\n      listener: function listener(event) {\n        latestPointerMove = {\n          x: event.clientX,\n          y: event.clientY\n        };\n      },\n      // listening for pointer move in capture phase\n      // so we are less likely to be impacted by events being stopped.\n      options: {\n        capture: true\n      }\n    });\n  }\n  function getOnPostDispatch() {\n    var finish = null;\n    return function onPostEvent(_ref6) {\n      var eventName = _ref6.eventName,\n        payload = _ref6.payload;\n      // We are adding the honey pot `onDragStart` so we don't\n      // impact the creation of the native drag preview.\n      if (eventName === 'onDragStart') {\n        var _latestPointerMove;\n        var input = payload.location.initial.input;\n\n        // Sometimes there will be no latest \"pointermove\" (eg iOS).\n        // In which case, we use the start position of the drag.\n        var initial = (_latestPointerMove = latestPointerMove) !== null && _latestPointerMove !== void 0 ? _latestPointerMove : {\n          x: input.clientX,\n          y: input.clientY\n        };\n\n        // Don't need to defensively call `finish()` as `onDrop` from\n        // one interaction is guaranteed to be called before `onDragStart`\n        // of the next.\n        finish = mountHoneyPot({\n          initial: initial\n        });\n      }\n      if (eventName === 'onDrop') {\n        var _finish;\n        var _input = payload.location.current.input;\n        (_finish = finish) === null || _finish === void 0 || _finish({\n          current: {\n            x: _input.clientX,\n            y: _input.clientY\n          }\n        });\n        finish = null;\n        // this interaction is finished, we want to use\n        // the latest \"pointermove\" for each interaction\n        latestPointerMove = null;\n      }\n    };\n  }\n  return {\n    bindEvents: bindEvents,\n    getOnPostDispatch: getOnPostDispatch\n  };\n}","import arrayLikeToArray from \"./arrayLikeToArray.js\";\nfunction _arrayWithoutHoles(r) {\n  if (Array.isArray(r)) return arrayLikeToArray(r);\n}\nexport { _arrayWithoutHoles as default };","function _iterableToArray(r) {\n  if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r);\n}\nexport { _iterableToArray as default };","function _nonIterableSpread() {\n  throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}\nexport { _nonIterableSpread as default };","import arrayWithoutHoles from \"./arrayWithoutHoles.js\";\nimport iterableToArray from \"./iterableToArray.js\";\nimport unsupportedIterableToArray from \"./unsupportedIterableToArray.js\";\nimport nonIterableSpread from \"./nonIterableSpread.js\";\nfunction _toConsumableArray(r) {\n  return arrayWithoutHoles(r) || iterableToArray(r) || unsupportedIterableToArray(r) || nonIterableSpread();\n}\nexport { _toConsumableArray as default };","/** Provide a function that you only ever want to be called a single time */\nexport function once(fn) {\n  var cache = null;\n  return function wrapped() {\n    if (!cache) {\n      for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n        args[_key] = arguments[_key];\n      }\n      var result = fn.apply(this, args);\n      cache = {\n        result: result\n      };\n    }\n    return cache.result;\n  };\n}","import { once } from '../public-utils/once';\n\n// using `cache` as our `isFirefox()` result will not change in a browser\n\n/**\n * Returns `true` if a `Firefox` browser\n * */\nexport var isFirefox = once(function isFirefox() {\n  if (process.env.NODE_ENV === 'test') {\n    return false;\n  }\n  return navigator.userAgent.includes('Firefox');\n});","import { once } from '../public-utils/once';\n\n// using `cache` as our `isSafari()` result will not change in a browser\n\n/**\n * Returns `true` if a `Safari` browser.\n * Returns `true` if the browser is running on iOS (they are all Safari).\n * */\nexport var isSafari = once(function isSafari() {\n  if (process.env.NODE_ENV === 'test') {\n    return false;\n  }\n  var _navigator = navigator,\n    userAgent = _navigator.userAgent;\n  return userAgent.includes('AppleWebKit') && !userAgent.includes('Chrome');\n});","import { bindAll } from 'bind-event-listener';\nimport { isSafari } from '../is-safari';\n\n/* For \"dragenter\" events, the browser should set `relatedTarget` to the previous element.\n * For external drag operations, our first \"dragenter\" event should have a `event.relatedTarget` of `null`.\n *\n *  Unfortunately in Safari `event.relatedTarget` is *always* set to `null`\n *  Safari bug: https://bugs.webkit.org/show_bug.cgi?id=242627\n *  To work around this we count \"dragenter\" and \"dragleave\" events */\n\n// Using symbols for event properties so we don't clash with\n// anything on the `event` object\nvar symbols = {\n  isLeavingWindow: Symbol('leaving'),\n  isEnteringWindow: Symbol('entering')\n};\nexport function isEnteringWindowInSafari(_ref) {\n  var dragEnter = _ref.dragEnter;\n  if (!isSafari()) {\n    return false;\n  }\n  return dragEnter.hasOwnProperty(symbols.isEnteringWindow);\n}\nexport function isLeavingWindowInSafari(_ref2) {\n  var dragLeave = _ref2.dragLeave;\n  if (!isSafari()) {\n    return false;\n  }\n  return dragLeave.hasOwnProperty(symbols.isLeavingWindow);\n}\n(function fixSafari() {\n  // Don't do anything when server side rendering\n  if (typeof window === 'undefined') {\n    return;\n  }\n\n  // rather than checking the userAgent for \"jsdom\" we can do this check\n  // so that the check will be removed completely in production code\n  if (process.env.NODE_ENV === 'test') {\n    return;\n  }\n  if (!isSafari()) {\n    return;\n  }\n  function getInitialState() {\n    return {\n      enterCount: 0,\n      isOverWindow: false\n    };\n  }\n  var state = getInitialState();\n  function resetState() {\n    state = getInitialState();\n  }\n\n  // These event listeners are bound _forever_ and _never_ removed\n  // We don't bother cleaning up these event listeners (for now)\n  // as this workaround is only for Safari\n\n  // This is how the event count works:\n  //\n  // lift (+1 enterCount)\n  // - dragstart(draggable) [enterCount: 0]\n  // - dragenter(draggable) [enterCount: 1]\n  // leaving draggable (+0 enterCount)\n  // - dragenter(document.body) [enterCount: 2]\n  // - dragleave(draggable) [enterCount: 1]\n  // leaving window (-1 enterCount)\n  // - dragleave(document.body) [enterCount: 0] {leaving the window}\n\n  // Things to note:\n  // - dragenter and dragleave bubble\n  // - the first dragenter when entering a window might not be on `window`\n  //   - it could be on an element that is pressed up against the window\n  //   - (so we cannot rely on `event.target` values)\n\n  bindAll(window, [{\n    type: 'dragstart',\n    listener: function listener() {\n      state.enterCount = 0;\n      // drag start occurs in the source window\n      state.isOverWindow = true;\n      // When a drag first starts it will also trigger a \"dragenter\" on the draggable element\n    }\n  }, {\n    type: 'drop',\n    listener: resetState\n  }, {\n    type: 'dragend',\n    listener: resetState\n  }, {\n    type: 'dragenter',\n    listener: function listener(event) {\n      if (!state.isOverWindow && state.enterCount === 0) {\n        // Patching the `event` object\n        // The `event` object is shared with all event listeners for the event\n        // @ts-expect-error: adding property to the event object\n        event[symbols.isEnteringWindow] = true;\n      }\n      state.isOverWindow = true;\n      state.enterCount++;\n    }\n  }, {\n    type: 'dragleave',\n    listener: function listener(event) {\n      state.enterCount--;\n      if (state.isOverWindow && state.enterCount === 0) {\n        // Patching the `event` object as it is shared with all event listeners\n        // The `event` object is shared with all event listeners for the event\n        // @ts-expect-error: adding property to the event object\n        event[symbols.isLeavingWindow] = true;\n        state.isOverWindow = false;\n      }\n    }\n  }],\n  // using `capture: true` so that adding event listeners\n  // in bubble phase will have the correct symbols\n  {\n    capture: true\n  });\n})();","/**\n * Does the `EventTarget` look like a `Node` based on \"duck typing\".\n *\n * Helpful when the `Node` might be outside of the current document\n * so we cannot to an `target instanceof Node` check.\n */\nfunction isNodeLike(target) {\n  return 'nodeName' in target;\n}\n\n/**\n * Is an `EventTarget` a `Node` from another `window`?\n */\nexport function isFromAnotherWindow(eventTarget) {\n  return isNodeLike(eventTarget) && eventTarget.ownerDocument !== document;\n}","import { isFirefox } from '../is-firefox';\nimport { isSafari } from '../is-safari';\nimport { isLeavingWindowInSafari } from './count-events-for-safari';\nimport { isFromAnotherWindow } from './is-from-another-window';\nexport function isLeavingWindow(_ref) {\n  var dragLeave = _ref.dragLeave;\n  var type = dragLeave.type,\n    relatedTarget = dragLeave.relatedTarget;\n  if (type !== 'dragleave') {\n    return false;\n  }\n  if (isSafari()) {\n    return isLeavingWindowInSafari({\n      dragLeave: dragLeave\n    });\n  }\n\n  // Standard check: if going to `null` we are leaving the `window`\n  if (relatedTarget == null) {\n    return true;\n  }\n\n  /**\n   * 🦊 Exception: `iframe` in Firefox (`125.0`)\n   *\n   * Case 1: parent `window` → child `iframe`\n   * `dragLeave.relatedTarget` is element _inside_ the child `iframe`\n   * (foreign element)\n   *\n   * Case 2: child `iframe` → parent `window`\n   * `dragLeave.relatedTarget` is the `iframe` in the parent `window`\n   * (foreign element)\n   */\n\n  if (isFirefox()) {\n    return isFromAnotherWindow(relatedTarget);\n  }\n\n  /**\n   * 🌏 Exception: `iframe` in Chrome (`124.0`)\n   *\n   * Case 1: parent `window` → child `iframe`\n   * `dragLeave.relatedTarget` is the `iframe` in the parent `window`\n   *\n   * Case 2: child `iframe` → parent `window`\n   * `dragLeave.relatedTarget` is `null` *(standard check)*\n   */\n\n  // Case 2\n  // Using `instanceof` check as the element will be in the same `window`\n  return relatedTarget instanceof HTMLIFrameElement;\n}","export function getBindingsForBrokenDrags(_ref) {\n  var onDragEnd = _ref.onDragEnd;\n  return [\n  // ## Detecting drag ending for removed draggables\n  //\n  // If a draggable element is removed during a drag and the user drops:\n  // 1. if over a valid drop target: we get a \"drop\" event to know the drag is finished\n  // 2. if not over a valid drop target (or cancelled): we get nothing\n  // The \"dragend\" event will not fire on the source draggable if it has been\n  // removed from the DOM.\n  // So we need to figure out if a drag operation has finished by looking at other events\n  // We can do this by looking at other events\n\n  // ### First detection: \"pointermove\" events\n\n  // 1. \"pointermove\" events cannot fire during a drag and drop operation\n  // according to the spec. So if we get a \"pointermove\" it means that\n  // the drag and drop operations has finished. So if we get a \"pointermove\"\n  // we know that the drag is over\n  // 2. 🦊😤 Drag and drop operations are _supposed_ to suppress\n  // other pointer events. However, firefox will allow a few\n  // pointer event to get through after a drag starts.\n  // The most I've seen is 3\n  {\n    type: 'pointermove',\n    listener: function () {\n      var callCount = 0;\n      return function listener() {\n        // Using 20 as it is far bigger than the most observed (3)\n        if (callCount < 20) {\n          callCount++;\n          return;\n        }\n        onDragEnd();\n      };\n    }()\n  },\n  // ### Second detection: \"pointerdown\" events\n\n  // If we receive this event then we know that a drag operation has finished\n  // and potentially another one is about to start.\n  // Note: `pointerdown` fires on all browsers / platforms before \"dragstart\"\n  {\n    type: 'pointerdown',\n    listener: onDragEnd\n  }];\n}","export function getInput(event) {\n  return {\n    altKey: event.altKey,\n    button: event.button,\n    buttons: event.buttons,\n    ctrlKey: event.ctrlKey,\n    metaKey: event.metaKey,\n    shiftKey: event.shiftKey,\n    clientX: event.clientX,\n    clientY: event.clientY,\n    pageX: event.pageX,\n    pageY: event.pageY\n  };\n}","var rafSchd = function rafSchd(fn) {\n  var lastArgs = [];\n  var frameId = null;\n\n  var wrapperFn = function wrapperFn() {\n    for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n      args[_key] = arguments[_key];\n    }\n\n    lastArgs = args;\n\n    if (frameId) {\n      return;\n    }\n\n    frameId = requestAnimationFrame(function () {\n      frameId = null;\n      fn.apply(void 0, lastArgs);\n    });\n  };\n\n  wrapperFn.cancel = function () {\n    if (!frameId) {\n      return;\n    }\n\n    cancelAnimationFrame(frameId);\n    frameId = null;\n  };\n\n  return wrapperFn;\n};\n\nexport default rafSchd;\n","import rafSchd from 'raf-schd';\nvar scheduleOnDrag = rafSchd(function (fn) {\n  return fn();\n});\nvar dragStart = function () {\n  var scheduled = null;\n  function schedule(fn) {\n    var frameId = requestAnimationFrame(function () {\n      scheduled = null;\n      fn();\n    });\n    scheduled = {\n      frameId: frameId,\n      fn: fn\n    };\n  }\n  function flush() {\n    if (scheduled) {\n      cancelAnimationFrame(scheduled.frameId);\n      scheduled.fn();\n      scheduled = null;\n    }\n  }\n  return {\n    schedule: schedule,\n    flush: flush\n  };\n}();\nexport function makeDispatch(_ref) {\n  var source = _ref.source,\n    initial = _ref.initial,\n    dispatchEvent = _ref.dispatchEvent;\n  var previous = {\n    dropTargets: []\n  };\n  function safeDispatch(args) {\n    dispatchEvent(args);\n    previous = {\n      dropTargets: args.payload.location.current.dropTargets\n    };\n  }\n  var dispatch = {\n    start: function start(_ref2) {\n      var nativeSetDragImage = _ref2.nativeSetDragImage;\n      // Ensuring that both `onGenerateDragPreview` and `onDragStart` get the same location.\n      // We do this so that `previous` is`[]` in `onDragStart` (which is logical)\n      var location = {\n        current: initial,\n        previous: previous,\n        initial: initial\n      };\n      // a `onGenerateDragPreview` does _not_ add another entry for `previous`\n      // onDragPreview\n      safeDispatch({\n        eventName: 'onGenerateDragPreview',\n        payload: {\n          source: source,\n          location: location,\n          nativeSetDragImage: nativeSetDragImage\n        }\n      });\n      dragStart.schedule(function () {\n        safeDispatch({\n          eventName: 'onDragStart',\n          payload: {\n            source: source,\n            location: location\n          }\n        });\n      });\n    },\n    dragUpdate: function dragUpdate(_ref3) {\n      var current = _ref3.current;\n      dragStart.flush();\n      scheduleOnDrag.cancel();\n      safeDispatch({\n        eventName: 'onDropTargetChange',\n        payload: {\n          source: source,\n          location: {\n            initial: initial,\n            previous: previous,\n            current: current\n          }\n        }\n      });\n    },\n    drag: function drag(_ref4) {\n      var current = _ref4.current;\n      scheduleOnDrag(function () {\n        dragStart.flush();\n        var location = {\n          initial: initial,\n          previous: previous,\n          current: current\n        };\n        safeDispatch({\n          eventName: 'onDrag',\n          payload: {\n            source: source,\n            location: location\n          }\n        });\n      });\n    },\n    drop: function drop(_ref5) {\n      var current = _ref5.current,\n        updatedSourcePayload = _ref5.updatedSourcePayload;\n      dragStart.flush();\n      scheduleOnDrag.cancel();\n      safeDispatch({\n        eventName: 'onDrop',\n        payload: {\n          source: updatedSourcePayload !== null && updatedSourcePayload !== void 0 ? updatedSourcePayload : source,\n          location: {\n            current: current,\n            previous: previous,\n            initial: initial\n          }\n        }\n      });\n    }\n  };\n  return dispatch;\n}","import _toConsumableArray from \"@babel/runtime/helpers/toConsumableArray\";\nimport { bindAll } from 'bind-event-listener';\nimport { getElementFromPointWithoutHoneypot } from '../honey-pot-fix/get-element-from-point-without-honey-pot';\nimport { isHoneyPotElement } from '../honey-pot-fix/is-honey-pot-element';\nimport { isLeavingWindow } from '../util/changing-window/is-leaving-window';\nimport { getBindingsForBrokenDrags } from '../util/detect-broken-drag';\nimport { getInput } from '../util/get-input';\nimport { makeDispatch } from './dispatch-consumer-event';\nvar globalState = {\n  isActive: false\n};\nfunction canStart() {\n  return !globalState.isActive;\n}\nfunction getNativeSetDragImage(event) {\n  if (event.dataTransfer) {\n    // need to use `.bind` as `setDragImage` is required\n    // to be run with `event.dataTransfer` as the \"this\" context\n    return event.dataTransfer.setDragImage.bind(event.dataTransfer);\n  }\n  return null;\n}\nfunction hasHierarchyChanged(_ref) {\n  var current = _ref.current,\n    next = _ref.next;\n  if (current.length !== next.length) {\n    return true;\n  }\n  // not checking stickiness, data or dropEffect,\n  // just whether the hierarchy has changed\n  for (var i = 0; i < current.length; i++) {\n    if (current[i].element !== next[i].element) {\n      return true;\n    }\n  }\n  return false;\n}\nfunction start(_ref2) {\n  var event = _ref2.event,\n    dragType = _ref2.dragType,\n    getDropTargetsOver = _ref2.getDropTargetsOver,\n    dispatchEvent = _ref2.dispatchEvent;\n  if (!canStart()) {\n    return;\n  }\n  var initial = getStartLocation({\n    event: event,\n    dragType: dragType,\n    getDropTargetsOver: getDropTargetsOver\n  });\n  globalState.isActive = true;\n  var state = {\n    current: initial\n  };\n\n  // Setting initial drop effect for the drag\n  setDropEffectOnEvent({\n    event: event,\n    current: initial.dropTargets\n  });\n  var dispatch = makeDispatch({\n    source: dragType.payload,\n    dispatchEvent: dispatchEvent,\n    initial: initial\n  });\n  function updateState(next) {\n    // only looking at whether hierarchy has changed to determine whether something as 'changed'\n    var hasChanged = hasHierarchyChanged({\n      current: state.current.dropTargets,\n      next: next.dropTargets\n    });\n\n    // Always updating the state to include latest data, dropEffect and stickiness\n    // Only updating consumers if the hierarchy has changed in some way\n    // Consumers can get the latest data by using `onDrag`\n    state.current = next;\n    if (hasChanged) {\n      dispatch.dragUpdate({\n        current: state.current\n      });\n    }\n  }\n  function onUpdateEvent(event) {\n    var input = getInput(event);\n\n    // If we are over the honey pot, we need to get the element\n    // that the user would have been over if not for the honey pot\n    var target = isHoneyPotElement(event.target) ? getElementFromPointWithoutHoneypot({\n      x: input.clientX,\n      y: input.clientY\n    }) : event.target;\n    var nextDropTargets = getDropTargetsOver({\n      target: target,\n      input: input,\n      source: dragType.payload,\n      current: state.current.dropTargets\n    });\n    if (nextDropTargets.length) {\n      // 🩸 must call `event.preventDefault()` to allow a browser drop to occur\n      event.preventDefault();\n      setDropEffectOnEvent({\n        event: event,\n        current: nextDropTargets\n      });\n    }\n    updateState({\n      dropTargets: nextDropTargets,\n      input: input\n    });\n  }\n  function cancel() {\n    // The spec behaviour is that when a drag is cancelled, or when dropping on no drop targets,\n    // a \"dragleave\" event is fired on the active drop target before a \"dragend\" event.\n    // We are replicating that behaviour in `cancel` if there are any active drop targets to\n    // ensure consistent behaviour.\n    //\n    // Note: When cancelling, or dropping on no drop targets, a \"dragleave\" event\n    // will have already cleared the dropTargets to `[]` (as that particular \"dragleave\" has a `relatedTarget` of `null`)\n\n    if (state.current.dropTargets.length) {\n      updateState({\n        dropTargets: [],\n        input: state.current.input\n      });\n    }\n    dispatch.drop({\n      current: state.current,\n      updatedSourcePayload: null\n    });\n    finish();\n  }\n  function finish() {\n    globalState.isActive = false;\n    unbindEvents();\n  }\n  var unbindEvents = bindAll(window, [{\n    // 👋 Note: we are repurposing the `dragover` event as our `drag` event\n    // this is because firefox does not publish pointer coordinates during\n    // a `drag` event, but does for every other type of drag event\n    // `dragover` fires on all elements that are being dragged over\n    // Because we are binding to `window` - our `dragover` is effectively the same as a `drag`\n    // 🦊😤\n    type: 'dragover',\n    listener: function listener(event) {\n      // We need to regularly calculate the drop targets in order to allow:\n      //  - dynamic `canDrop()` checks\n      //  - rapid updating `getData()` calls to attach data in response to user input (eg for edge detection)\n      // Sadly we cannot schedule inspecting changes resulting from this event\n      // we need to be able to conditionally cancel the event with `event.preventDefault()`\n      // to enable the correct native drop experience.\n\n      // 1. check to see if anything has changed\n      onUpdateEvent(event);\n\n      // 2. let consumers know a move has occurred\n      // This will include the latest 'input' values\n      dispatch.drag({\n        current: state.current\n      });\n    }\n  }, {\n    type: 'dragenter',\n    listener: onUpdateEvent\n  }, {\n    type: 'dragleave',\n    listener: function listener(event) {\n      if (!isLeavingWindow({\n        dragLeave: event\n      })) {\n        return;\n      }\n\n      /**\n       * At this point we don't know if a drag is being cancelled,\n       * or if a drag is leaving the `window`.\n       *\n       * Both have:\n       *   1. \"dragleave\" (with `relatedTarget: null`)\n       *   2. \"dragend\" (a \"dragend\" can occur when outside the `window`)\n       *\n       * **Clearing drop targets**\n       *\n       * For either case we are clearing the the drop targets\n       *\n       * - cancelling: we clear drop targets in `\"dragend\"` anyway\n       * - leaving the `window`: we clear the drop targets (to clear stickiness)\n       *\n       * **Leaving the window and finishing the drag**\n       *\n       * _internal drags_\n       *\n       * - The drag continues when the user is outside the `window`\n       *   and can resume if the user drags back over the `window`,\n       *   or end when the user drops in an external `window`.\n       * - We will get a `\"dragend\"`, or we can listen for other\n       *   events to determine the drag is finished when the user re-enters the `window`).\n       *\n       * _external drags_\n       *\n       * - We conclude the drag operation.\n       * - We have no idea if the user will drag back over the `window`,\n       *   or if the drag ends elsewhere.\n       * - We will create a new drag if the user re-enters the `window`.\n       *\n       * **Not updating `input`**\n       *\n       * 🐛 Bug[Chrome] the final `\"dragleave\"` has default input values (eg `clientX == 0`)\n       * Workaround: intentionally not updating `input` in \"dragleave\"\n       * rather than the users current input values\n       * - [Conversation](https://twitter.com/alexandereardon/status/1642697633864241152)\n       * - [Bug](https://bugs.chromium.org/p/chromium/issues/detail?id=1429937)\n       **/\n\n      updateState({\n        input: state.current.input,\n        dropTargets: []\n      });\n      if (dragType.startedFrom === 'external') {\n        cancel();\n      }\n    }\n  }, {\n    // A \"drop\" can only happen if the browser allowed the drop\n    type: 'drop',\n    listener: function listener(event) {\n      // Capture the final input.\n      // We are capturing the final `input` for the\n      // most accurate honey pot experience\n      state.current = {\n        dropTargets: state.current.dropTargets,\n        input: getInput(event)\n      };\n\n      /** If there are no drop targets, then we will get\n       * a \"drop\" event if:\n       * - `preventUnhandled()` is being used\n       * - there is an unmanaged drop target (eg another library)\n       * In these cases, it's up to the consumer\n       * to handle the drop if it's not over one of our drop targets\n       * - `preventUnhandled()` will cancel the \"drop\"\n       * - unmanaged drop targets can handle the \"drop\" how they want to\n       * We won't call `event.preventDefault()` in this call path */\n\n      if (!state.current.dropTargets.length) {\n        cancel();\n        return;\n      }\n      event.preventDefault();\n\n      // applying the latest drop effect to the event\n      setDropEffectOnEvent({\n        event: event,\n        current: state.current.dropTargets\n      });\n      dispatch.drop({\n        current: state.current,\n        // When dropping something native, we need to extract the latest\n        // `.items` from the \"drop\" event as it is now accessible\n        updatedSourcePayload: dragType.type === 'external' ? dragType.getDropPayload(event) : null\n      });\n      finish();\n    }\n  }, {\n    // \"dragend\" fires when on the drag source (eg a draggable element)\n    // when the drag is finished.\n    // \"dragend\" will fire after \"drop\" (if there was a successful drop)\n    // \"dragend\" does not fire if the draggable source has been removed during the drag\n    // or for external drag sources (eg files)\n\n    // This \"dragend\" listener will not fire if there was a successful drop\n    // as we will have already removed the event listener\n\n    type: 'dragend',\n    listener: function listener(event) {\n      // In firefox, the position of the \"dragend\" event can\n      // be a bit different to the last \"dragover\" event.\n      // Updating the input so we can get the best possible\n      // information for the honey pot.\n      state.current = {\n        dropTargets: state.current.dropTargets,\n        input: getInput(event)\n      };\n      cancel();\n    }\n  }].concat(_toConsumableArray(getBindingsForBrokenDrags({\n    onDragEnd: cancel\n  }))),\n  // Once we have started a managed drag operation it is important that we see / own all drag events\n  // We got one adoption bug pop up where some code was stopping (`event.stopPropagation()`)\n  // all \"drop\" events in the bubble phase on the `document.body`.\n  // This meant that we never saw the \"drop\" event.\n  {\n    capture: true\n  });\n  dispatch.start({\n    nativeSetDragImage: getNativeSetDragImage(event)\n  });\n}\nfunction setDropEffectOnEvent(_ref3) {\n  var _current$;\n  var event = _ref3.event,\n    current = _ref3.current;\n  // setting the `dropEffect` to be the innerMost drop targets dropEffect\n  var innerMost = (_current$ = current[0]) === null || _current$ === void 0 ? void 0 : _current$.dropEffect;\n  if (innerMost != null && event.dataTransfer) {\n    event.dataTransfer.dropEffect = innerMost;\n  }\n}\nfunction getStartLocation(_ref4) {\n  var event = _ref4.event,\n    dragType = _ref4.dragType,\n    getDropTargetsOver = _ref4.getDropTargetsOver;\n  var input = getInput(event);\n\n  // When dragging from outside of the browser,\n  // the drag is not being sourced from any local drop targets\n  if (dragType.startedFrom === 'external') {\n    return {\n      input: input,\n      dropTargets: []\n    };\n  }\n  var dropTargets = getDropTargetsOver({\n    input: input,\n    source: dragType.payload,\n    target: event.target,\n    current: []\n  });\n  return {\n    input: input,\n    dropTargets: dropTargets\n  };\n}\nexport var lifecycle = {\n  canStart: canStart,\n  start: start\n};","// Extending `Map` to allow us to link Key and Values together\n\nvar ledger = new Map();\nfunction registerUsage(_ref) {\n  var typeKey = _ref.typeKey,\n    mount = _ref.mount;\n  var entry = ledger.get(typeKey);\n  if (entry) {\n    entry.usageCount++;\n    return entry;\n  }\n  var initial = {\n    typeKey: typeKey,\n    unmount: mount(),\n    usageCount: 1\n  };\n  ledger.set(typeKey, initial);\n  return initial;\n}\nexport function register(args) {\n  var entry = registerUsage(args);\n  return function unregister() {\n    entry.usageCount--;\n    if (entry.usageCount > 0) {\n      return;\n    }\n    // Only a single usage left, remove it\n    entry.unmount();\n    ledger.delete(args.typeKey);\n  };\n}","/** Create a new combined function that will call all the provided functions */\nexport function combine() {\n  for (var _len = arguments.length, fns = new Array(_len), _key = 0; _key < _len; _key++) {\n    fns[_key] = arguments[_key];\n  }\n  return function cleanup() {\n    fns.forEach(function (fn) {\n      return fn();\n    });\n  };\n}","export function addAttribute(element, _ref) {\n  var attribute = _ref.attribute,\n    value = _ref.value;\n  element.setAttribute(attribute, value);\n  return function () {\n    return element.removeAttribute(attribute);\n  };\n}","import _defineProperty from \"@babel/runtime/helpers/defineProperty\";\nimport _toConsumableArray from \"@babel/runtime/helpers/toConsumableArray\";\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _createForOfIteratorHelper(o, allowArrayLike) { var it = typeof Symbol !== \"undefined\" && o[Symbol.iterator] || o[\"@@iterator\"]; if (!it) { if (Array.isArray(o) || (it = _unsupportedIterableToArray(o)) || allowArrayLike && o && typeof o.length === \"number\") { if (it) o = it; var i = 0; var F = function F() {}; return { s: F, n: function n() { if (i >= o.length) return { done: true }; return { done: false, value: o[i++] }; }, e: function e(_e) { throw _e; }, f: F }; } throw new TypeError(\"Invalid attempt to iterate non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); } var normalCompletion = true, didErr = false, err; return { s: function s() { it = it.call(o); }, n: function n() { var step = it.next(); normalCompletion = step.done; return step; }, e: function e(_e2) { didErr = true; err = _e2; }, f: function f() { try { if (!normalCompletion && it.return != null) it.return(); } finally { if (didErr) throw err; } } }; }\nfunction _unsupportedIterableToArray(o, minLen) { if (!o) return; if (typeof o === \"string\") return _arrayLikeToArray(o, minLen); var n = Object.prototype.toString.call(o).slice(8, -1); if (n === \"Object\" && o.constructor) n = o.constructor.name; if (n === \"Map\" || n === \"Set\") return Array.from(o); if (n === \"Arguments\" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return _arrayLikeToArray(o, minLen); }\nfunction _arrayLikeToArray(arr, len) { if (len == null || len > arr.length) len = arr.length; for (var i = 0, arr2 = new Array(len); i < len; i++) arr2[i] = arr[i]; return arr2; }\nimport { combine } from '../public-utils/combine';\nimport { addAttribute } from '../util/add-attribute';\nfunction copyReverse(array) {\n  return array.slice(0).reverse();\n}\nexport function makeDropTarget(_ref) {\n  var typeKey = _ref.typeKey,\n    defaultDropEffect = _ref.defaultDropEffect;\n  var registry = new WeakMap();\n  var dropTargetDataAtt = \"data-drop-target-for-\".concat(typeKey);\n  var dropTargetSelector = \"[\".concat(dropTargetDataAtt, \"]\");\n  function addToRegistry(args) {\n    registry.set(args.element, args);\n    return function () {\n      return registry.delete(args.element);\n    };\n  }\n  function dropTargetForConsumers(args) {\n    // Guardrail: warn if the draggable element is already registered\n    if (process.env.NODE_ENV !== 'production') {\n      var existing = registry.get(args.element);\n      if (existing) {\n        // eslint-disable-next-line no-console\n        console.warn(\"You have already registered a [\".concat(typeKey, \"] dropTarget on the same element\"), {\n          existing: existing,\n          proposed: args\n        });\n      }\n      if (args.element instanceof HTMLIFrameElement) {\n        // eslint-disable-next-line no-console\n        console.warn(\"\\n            We recommend not registering <iframe> elements as drop targets\\n            as it can result in some strange browser event ordering.\\n          \" // Removing newlines and excessive whitespace\n        .replace(/\\s{2,}/g, ' ').trim());\n      }\n    }\n    return combine(addAttribute(args.element, {\n      attribute: dropTargetDataAtt,\n      value: 'true'\n    }), addToRegistry(args));\n  }\n  function getActualDropTargets(_ref2) {\n    var _args$getData, _args$getData2, _args$getDropEffect, _args$getDropEffect2;\n    var source = _ref2.source,\n      target = _ref2.target,\n      input = _ref2.input,\n      _ref2$result = _ref2.result,\n      result = _ref2$result === void 0 ? [] : _ref2$result;\n    if (target == null) {\n      return result;\n    }\n    if (!(target instanceof Element)) {\n      // For \"text-selection\" drags, the original `target`\n      // is not an `Element`, so we need to start looking from\n      // the parent element\n      if (target instanceof Node) {\n        return getActualDropTargets({\n          source: source,\n          target: target.parentElement,\n          input: input,\n          result: result\n        });\n      }\n\n      // not sure what we are working with,\n      // so we can exit.\n      return result;\n    }\n    var closest = target.closest(dropTargetSelector);\n\n    // Cannot find anything else\n    if (closest == null) {\n      return result;\n    }\n    var args = registry.get(closest);\n\n    // error: something had a dropTargetSelector but we could not\n    // find a match. For now, failing silently\n    if (args == null) {\n      return result;\n    }\n    var feedback = {\n      input: input,\n      source: source,\n      element: args.element\n    };\n\n    // if dropping is not allowed, skip this drop target\n    // and continue looking up the DOM tree\n    if (args.canDrop && !args.canDrop(feedback)) {\n      return getActualDropTargets({\n        source: source,\n        target: args.element.parentElement,\n        input: input,\n        result: result\n      });\n    }\n\n    // calculate our new record\n    var data = (_args$getData = (_args$getData2 = args.getData) === null || _args$getData2 === void 0 ? void 0 : _args$getData2.call(args, feedback)) !== null && _args$getData !== void 0 ? _args$getData : {};\n    var dropEffect = (_args$getDropEffect = (_args$getDropEffect2 = args.getDropEffect) === null || _args$getDropEffect2 === void 0 ? void 0 : _args$getDropEffect2.call(args, feedback)) !== null && _args$getDropEffect !== void 0 ? _args$getDropEffect : defaultDropEffect;\n    var record = {\n      data: data,\n      element: args.element,\n      dropEffect: dropEffect,\n      // we are collecting _actual_ drop targets, so these are\n      // being applied _not_ due to stickiness\n      isActiveDueToStickiness: false\n    };\n    return getActualDropTargets({\n      source: source,\n      target: args.element.parentElement,\n      input: input,\n      // Using bubble ordering. Same ordering as `event.getPath()`\n      result: [].concat(_toConsumableArray(result), [record])\n    });\n  }\n  function notifyCurrent(_ref3) {\n    var eventName = _ref3.eventName,\n      payload = _ref3.payload;\n    var _iterator = _createForOfIteratorHelper(payload.location.current.dropTargets),\n      _step;\n    try {\n      for (_iterator.s(); !(_step = _iterator.n()).done;) {\n        var _entry$eventName;\n        var record = _step.value;\n        var entry = registry.get(record.element);\n        var _args = _objectSpread(_objectSpread({}, payload), {}, {\n          self: record\n        });\n        entry === null || entry === void 0 || (_entry$eventName = entry[eventName]) === null || _entry$eventName === void 0 || _entry$eventName.call(entry,\n        // I cannot seem to get the types right here.\n        // TS doesn't seem to like that one event can need `nativeSetDragImage`\n        // @ts-expect-error\n        _args);\n      }\n    } catch (err) {\n      _iterator.e(err);\n    } finally {\n      _iterator.f();\n    }\n  }\n  var actions = {\n    onGenerateDragPreview: notifyCurrent,\n    onDrag: notifyCurrent,\n    onDragStart: notifyCurrent,\n    onDrop: notifyCurrent,\n    onDropTargetChange: function onDropTargetChange(_ref4) {\n      var payload = _ref4.payload;\n      var isCurrent = new Set(payload.location.current.dropTargets.map(function (record) {\n        return record.element;\n      }));\n      var visited = new Set();\n      var _iterator2 = _createForOfIteratorHelper(payload.location.previous.dropTargets),\n        _step2;\n      try {\n        for (_iterator2.s(); !(_step2 = _iterator2.n()).done;) {\n          var _entry$onDropTargetCh;\n          var record = _step2.value;\n          visited.add(record.element);\n          var entry = registry.get(record.element);\n          var isOver = isCurrent.has(record.element);\n          var _args2 = _objectSpread(_objectSpread({}, payload), {}, {\n            self: record\n          });\n          entry === null || entry === void 0 || (_entry$onDropTargetCh = entry.onDropTargetChange) === null || _entry$onDropTargetCh === void 0 || _entry$onDropTargetCh.call(entry, _args2);\n\n          // if we cannot find the drop target in the current array, then it has been left\n          if (!isOver) {\n            var _entry$onDragLeave;\n            entry === null || entry === void 0 || (_entry$onDragLeave = entry.onDragLeave) === null || _entry$onDragLeave === void 0 || _entry$onDragLeave.call(entry, _args2);\n          }\n        }\n      } catch (err) {\n        _iterator2.e(err);\n      } finally {\n        _iterator2.f();\n      }\n      var _iterator3 = _createForOfIteratorHelper(payload.location.current.dropTargets),\n        _step3;\n      try {\n        for (_iterator3.s(); !(_step3 = _iterator3.n()).done;) {\n          var _entry$onDropTargetCh2, _entry$onDragEnter;\n          var _record = _step3.value;\n          // already published an update to this drop target\n          if (visited.has(_record.element)) {\n            continue;\n          }\n          // at this point we have a new drop target that is being entered into\n          var _args3 = _objectSpread(_objectSpread({}, payload), {}, {\n            self: _record\n          });\n          var _entry = registry.get(_record.element);\n          _entry === null || _entry === void 0 || (_entry$onDropTargetCh2 = _entry.onDropTargetChange) === null || _entry$onDropTargetCh2 === void 0 || _entry$onDropTargetCh2.call(_entry, _args3);\n          _entry === null || _entry === void 0 || (_entry$onDragEnter = _entry.onDragEnter) === null || _entry$onDragEnter === void 0 || _entry$onDragEnter.call(_entry, _args3);\n        }\n      } catch (err) {\n        _iterator3.e(err);\n      } finally {\n        _iterator3.f();\n      }\n    }\n  };\n  function dispatchEvent(args) {\n    actions[args.eventName](args);\n  }\n  function getIsOver(_ref5) {\n    var source = _ref5.source,\n      target = _ref5.target,\n      input = _ref5.input,\n      current = _ref5.current;\n    var actual = getActualDropTargets({\n      source: source,\n      target: target,\n      input: input\n    });\n\n    // stickiness is only relevant when we have less\n    // drop targets than we did before\n    if (actual.length >= current.length) {\n      return actual;\n    }\n\n    // less 'actual' drop targets than before,\n    // we need to see if 'stickiness' applies\n\n    // An old drop target will continue to be dropped on if:\n    // 1. it has the same parent\n    // 2. nothing exists in it's previous index\n\n    var lastCaptureOrdered = copyReverse(current);\n    var actualCaptureOrdered = copyReverse(actual);\n    var resultCaptureOrdered = [];\n    for (var index = 0; index < lastCaptureOrdered.length; index++) {\n      var _argsForLast$getIsSti;\n      var last = lastCaptureOrdered[index];\n      var fresh = actualCaptureOrdered[index];\n\n      // if a record is in the new index -> use that\n      // it will have the latest data + dropEffect\n      if (fresh != null) {\n        resultCaptureOrdered.push(fresh);\n        continue;\n      }\n\n      // At this point we have no drop target in the old spot\n      // Check to see if we can use a previous sticky drop target\n\n      // The \"parent\" is the one inside of `resultCaptureOrdered`\n      // (the parent might be a drop target that was sticky)\n      var parent = resultCaptureOrdered[index - 1];\n      var lastParent = lastCaptureOrdered[index - 1];\n\n      // Stickiness is based on parent relationships, so if the parent relationship has change\n      // then we can stop our search\n      if ((parent === null || parent === void 0 ? void 0 : parent.element) !== (lastParent === null || lastParent === void 0 ? void 0 : lastParent.element)) {\n        break;\n      }\n\n      // We need to check whether the old drop target can still be dropped on\n\n      var argsForLast = registry.get(last.element);\n\n      // We cannot drop on a drop target that is no longer mounted\n      if (!argsForLast) {\n        break;\n      }\n      var feedback = {\n        input: input,\n        source: source,\n        element: argsForLast.element\n      };\n\n      // We cannot drop on a drop target that no longer allows being dropped on\n      if (argsForLast.canDrop && !argsForLast.canDrop(feedback)) {\n        break;\n      }\n\n      // We cannot drop on a drop target that is no longer sticky\n      if (!((_argsForLast$getIsSti = argsForLast.getIsSticky) !== null && _argsForLast$getIsSti !== void 0 && _argsForLast$getIsSti.call(argsForLast, feedback))) {\n        break;\n      }\n\n      // Note: intentionally not recollecting `getData()` or `getDropEffect()`\n      // Previous values for `data` and `dropEffect` will be borrowed\n      // This is to prevent things like the 'closest edge' changing when\n      // no longer over a drop target.\n      // We could change our mind on this behaviour in the future\n\n      resultCaptureOrdered.push(_objectSpread(_objectSpread({}, last), {}, {\n        // making it clear to consumers this drop target is active due to stickiness\n        isActiveDueToStickiness: true\n      }));\n    }\n\n    // return bubble ordered result\n    return copyReverse(resultCaptureOrdered);\n  }\n  return {\n    dropTargetForConsumers: dropTargetForConsumers,\n    getIsOver: getIsOver,\n    dispatchEvent: dispatchEvent\n  };\n}","import _defineProperty from \"@babel/runtime/helpers/defineProperty\";\nfunction _createForOfIteratorHelper(o, allowArrayLike) { var it = typeof Symbol !== \"undefined\" && o[Symbol.iterator] || o[\"@@iterator\"]; if (!it) { if (Array.isArray(o) || (it = _unsupportedIterableToArray(o)) || allowArrayLike && o && typeof o.length === \"number\") { if (it) o = it; var i = 0; var F = function F() {}; return { s: F, n: function n() { if (i >= o.length) return { done: true }; return { done: false, value: o[i++] }; }, e: function e(_e) { throw _e; }, f: F }; } throw new TypeError(\"Invalid attempt to iterate non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); } var normalCompletion = true, didErr = false, err; return { s: function s() { it = it.call(o); }, n: function n() { var step = it.next(); normalCompletion = step.done; return step; }, e: function e(_e2) { didErr = true; err = _e2; }, f: function f() { try { if (!normalCompletion && it.return != null) it.return(); } finally { if (didErr) throw err; } } }; }\nfunction _unsupportedIterableToArray(o, minLen) { if (!o) return; if (typeof o === \"string\") return _arrayLikeToArray(o, minLen); var n = Object.prototype.toString.call(o).slice(8, -1); if (n === \"Object\" && o.constructor) n = o.constructor.name; if (n === \"Map\" || n === \"Set\") return Array.from(o); if (n === \"Arguments\" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return _arrayLikeToArray(o, minLen); }\nfunction _arrayLikeToArray(arr, len) { if (len == null || len > arr.length) len = arr.length; for (var i = 0, arr2 = new Array(len); i < len; i++) arr2[i] = arr[i]; return arr2; }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nexport function makeMonitor() {\n  var registry = new Set();\n  var dragging = null;\n  function tryAddToActive(monitor) {\n    if (!dragging) {\n      return;\n    }\n    // Monitor is allowed to monitor events if:\n    // 1. It has no `canMonitor` function (default is that a monitor can listen to everything)\n    // 2. `canMonitor` returns true\n    if (!monitor.canMonitor || monitor.canMonitor(dragging.canMonitorArgs)) {\n      dragging.active.add(monitor);\n    }\n  }\n  function monitorForConsumers(args) {\n    // We are giving each `args` a new reference so that you\n    // can create multiple monitors with the same `args`.\n    var entry = _objectSpread({}, args);\n    registry.add(entry);\n\n    // if there is an active drag we need to see if this new monitor is relevant\n    tryAddToActive(entry);\n    return function cleanup() {\n      registry.delete(entry);\n\n      // We need to stop publishing events during a drag to this monitor!\n      if (dragging) {\n        dragging.active.delete(entry);\n      }\n    };\n  }\n  function dispatchEvent(_ref) {\n    var eventName = _ref.eventName,\n      payload = _ref.payload;\n    if (eventName === 'onGenerateDragPreview') {\n      dragging = {\n        canMonitorArgs: {\n          initial: payload.location.initial,\n          source: payload.source\n        },\n        active: new Set()\n      };\n      var _iterator = _createForOfIteratorHelper(registry),\n        _step;\n      try {\n        for (_iterator.s(); !(_step = _iterator.n()).done;) {\n          var monitor = _step.value;\n          tryAddToActive(monitor);\n        }\n      } catch (err) {\n        _iterator.e(err);\n      } finally {\n        _iterator.f();\n      }\n    }\n\n    // This should never happen.\n    if (!dragging) {\n      return;\n    }\n\n    // Creating an array from the set _before_ iterating\n    // This is so that monitors added during the current event will not be called.\n    // This behaviour matches native EventTargets where an event listener\n    // cannot add another event listener during an active event to the same\n    // event target in the same event (for us we have a single global event target)\n    var active = Array.from(dragging.active);\n    for (var _i = 0, _active = active; _i < _active.length; _i++) {\n      var _monitor = _active[_i];\n      // A monitor can be removed by another monitor during an event.\n      // We need to check that the monitor is still registered before calling it\n      if (dragging.active.has(_monitor)) {\n        var _monitor$eventName;\n        // @ts-expect-error: I cannot get this type working!\n        (_monitor$eventName = _monitor[eventName]) === null || _monitor$eventName === void 0 || _monitor$eventName.call(_monitor, payload);\n      }\n    }\n    if (eventName === 'onDrop') {\n      dragging.active.clear();\n      dragging = null;\n    }\n  }\n  return {\n    dispatchEvent: dispatchEvent,\n    monitorForConsumers: monitorForConsumers\n  };\n}","import { lifecycle } from '../ledger/lifecycle-manager';\nimport { register } from '../ledger/usage-ledger';\nimport { makeDropTarget } from './make-drop-target';\nimport { makeMonitor } from './make-monitor';\nexport function makeAdapter(_ref) {\n  var typeKey = _ref.typeKey,\n    mount = _ref.mount,\n    dispatchEventToSource = _ref.dispatchEventToSource,\n    onPostDispatch = _ref.onPostDispatch,\n    defaultDropEffect = _ref.defaultDropEffect;\n  var monitorAPI = makeMonitor();\n  var dropTargetAPI = makeDropTarget({\n    typeKey: typeKey,\n    defaultDropEffect: defaultDropEffect\n  });\n  function dispatchEvent(args) {\n    // 1. forward the event to source\n    dispatchEventToSource === null || dispatchEventToSource === void 0 || dispatchEventToSource(args);\n\n    // 2. forward the event to relevant dropTargets\n    dropTargetAPI.dispatchEvent(args);\n\n    // 3. forward event to monitors\n    monitorAPI.dispatchEvent(args);\n\n    // 4. post consumer dispatch (used for honey pot fix)\n    onPostDispatch === null || onPostDispatch === void 0 || onPostDispatch(args);\n  }\n  function start(_ref2) {\n    var event = _ref2.event,\n      dragType = _ref2.dragType;\n    lifecycle.start({\n      event: event,\n      dragType: dragType,\n      getDropTargetsOver: dropTargetAPI.getIsOver,\n      dispatchEvent: dispatchEvent\n    });\n  }\n  function registerUsage() {\n    function mountAdapter() {\n      var api = {\n        canStart: lifecycle.canStart,\n        start: start\n      };\n      return mount(api);\n    }\n    return register({\n      typeKey: typeKey,\n      mount: mountAdapter\n    });\n  }\n  return {\n    registerUsage: registerUsage,\n    dropTarget: dropTargetAPI.dropTargetForConsumers,\n    monitor: monitorAPI.monitorForConsumers\n  };\n}","import { once } from '../public-utils/once';\n\n// using `cache` as our `isAndroid()` result will not change in a browser\nexport var isAndroid = once(function isAndroid() {\n  return navigator.userAgent.toLocaleLowerCase().includes('android');\n});\nexport var androidFallbackText = 'pdnd:android-fallback';","// Why we put the media types in their own files:\n//\n// - we are not putting them all in one file as not all adapters need all types\n// - we are not putting them in the external helpers as some things just need the\n//   types and not the external functions code\nexport var textMediaType = 'text/plain';","// Why we put the media types in their own files:\n//\n// - we are not putting them all in one file as not all adapters need all types\n// - we are not putting them in the external helpers as some things just need the\n//   types and not the external functions code\nexport var urlMediaType = 'text/uri-list';","/**\n * This key has been pulled into a separate module\n * so that the external adapter does not need to import\n * the element adapter\n */\nexport var elementAdapterNativeDataKey = 'application/vnd.pdnd';","import _slicedToArray from \"@babel/runtime/helpers/slicedToArray\";\nimport { bind } from 'bind-event-listener';\nimport { getElementFromPointWithoutHoneypot } from '../honey-pot-fix/get-element-from-point-without-honey-pot';\nimport { makeHoneyPotFix } from '../honey-pot-fix/make-honey-pot-fix';\nimport { makeAdapter } from '../make-adapter/make-adapter';\nimport { combine } from '../public-utils/combine';\nimport { addAttribute } from '../util/add-attribute';\nimport { androidFallbackText, isAndroid } from '../util/android';\nimport { getInput } from '../util/get-input';\nimport { textMediaType } from '../util/media-types/text-media-type';\nimport { urlMediaType } from '../util/media-types/url-media-type';\nimport { elementAdapterNativeDataKey } from './element-adapter-native-data-key';\nvar draggableRegistry = new WeakMap();\nfunction addToRegistry(args) {\n  draggableRegistry.set(args.element, args);\n  return function cleanup() {\n    draggableRegistry.delete(args.element);\n  };\n}\nvar honeyPotFix = makeHoneyPotFix();\nvar adapter = makeAdapter({\n  typeKey: 'element',\n  defaultDropEffect: 'move',\n  mount: function mount(api) {\n    /**  Binding event listeners the `document` rather than `window` so that\n     * this adapter always gets preference over the text adapter.\n     * `document` is the first `EventTarget` under `window`\n     * https://twitter.com/alexandereardon/status/1604658588311465985\n     */\n    return combine(honeyPotFix.bindEvents(), bind(document, {\n      type: 'dragstart',\n      listener: function listener(event) {\n        var _entry$dragHandle, _entry$getInitialData, _entry$getInitialData2, _entry$dragHandle2, _entry$getInitialData3, _entry$getInitialData4;\n        if (!api.canStart(event)) {\n          return;\n        }\n\n        // If the \"dragstart\" event is cancelled, then a drag won't start\n        // There will be no further drag operation events (eg no \"dragend\" event)\n        if (event.defaultPrevented) {\n          return;\n        }\n\n        // Technically `dataTransfer` can be `null` according to the types\n        // But that behaviour does not seem to appear in the spec.\n        // If there is not `dataTransfer`, we can assume something is wrong and not\n        // start a drag\n        if (!event.dataTransfer) {\n          // Including this code on \"test\" and \"development\" environments:\n          // - Browser tests commonly run against \"development\" builds\n          // - Unit tests commonly run in \"test\"\n          if (process.env.NODE_ENV !== 'production') {\n            // eslint-disable-next-line no-console\n            console.warn(\"\\n              It appears as though you have are not testing DragEvents correctly.\\n\\n              - If you are unit testing, ensure you have polyfilled DragEvent.\\n              - If you are browser testing, ensure you are dispatching drag events correctly.\\n\\n              Please see our testing guides for more information:\\n              https://atlassian.design/components/pragmatic-drag-and-drop/core-package/testing\\n            \".replace(/ {2}/g, ''));\n          }\n          return;\n        }\n\n        // the closest parent that is a draggable element will be marked as\n        // the `event.target` for the event\n        var target = event.target;\n\n        // this source is only for elements\n        // Note: only HTMLElements can have the \"draggable\" attribute\n        if (!(target instanceof HTMLElement)) {\n          return null;\n        }\n\n        // see if the thing being dragged is owned by us\n        var entry = draggableRegistry.get(target);\n\n        // no matching element found\n        // → dragging an element with `draggable=\"true\"` that is not controlled by us\n        if (!entry) {\n          return null;\n        }\n        var input = getInput(event);\n        var feedback = {\n          element: entry.element,\n          dragHandle: (_entry$dragHandle = entry.dragHandle) !== null && _entry$dragHandle !== void 0 ? _entry$dragHandle : null,\n          input: input\n        };\n\n        // Check: does the draggable want to allow dragging?\n        if (entry.canDrag && !entry.canDrag(feedback)) {\n          // cancel drag operation if we cannot drag\n          event.preventDefault();\n          return null;\n        }\n\n        // Check: is there a drag handle and is the user using it?\n        if (entry.dragHandle) {\n          // technically don't need this util, but just being\n          // consistent with how we look up what is under the users\n          // cursor.\n          var over = getElementFromPointWithoutHoneypot({\n            x: input.clientX,\n            y: input.clientY\n          });\n\n          // if we are not dragging from the drag handle (or something inside the drag handle)\n          // then we will cancel the active drag\n          if (!entry.dragHandle.contains(over)) {\n            event.preventDefault();\n            return null;\n          }\n        }\n\n        /**\n         *  **Goal**\n         *  Pass information to other applications\n         *\n         * **Approach**\n         *  Put data into the native data store\n         *\n         *  **What about the native adapter?**\n         *  When the element adapter puts native data into the native data store\n         *  the native adapter is not triggered in the current window,\n         *  but a native adapter in an external window _can_ be triggered\n         *\n         *  **Why bake this into core?**\n         *  This functionality could be pulled out and exposed inside of\n         *  `onGenerateDragPreview`. But decided to make it a part of the\n         *  base API as it felt like a common enough use case and ended\n         *  up being a similar amount of code to include this function as\n         *  it was to expose the hook for it\n         */\n        var nativeData = (_entry$getInitialData = (_entry$getInitialData2 = entry.getInitialDataForExternal) === null || _entry$getInitialData2 === void 0 ? void 0 : _entry$getInitialData2.call(entry, feedback)) !== null && _entry$getInitialData !== void 0 ? _entry$getInitialData : null;\n        if (nativeData) {\n          for (var _i = 0, _Object$entries = Object.entries(nativeData); _i < _Object$entries.length; _i++) {\n            var _Object$entries$_i = _slicedToArray(_Object$entries[_i], 2),\n              key = _Object$entries$_i[0],\n              data = _Object$entries$_i[1];\n            event.dataTransfer.setData(key, data !== null && data !== void 0 ? data : '');\n          }\n        }\n\n        /**\n         *  📱 For Android devices, a drag operation will not start unless\n         * \"text/plain\" or \"text/uri-list\" data exists in the native data store\n         * https://twitter.com/alexandereardon/status/1732189803754713424\n         *\n         * Tested on:\n         * Device: Google Pixel 5\n         * Android version: 14 (November 5, 2023)\n         * Chrome version: 120.0\n         */\n        var types = event.dataTransfer.types;\n        if (isAndroid() && !types.includes(textMediaType) && !types.includes(urlMediaType)) {\n          event.dataTransfer.setData(textMediaType, androidFallbackText);\n        }\n\n        /**\n         * 1. Must set any media type for `iOS15` to work\n         * 2. We are also doing adding data so that the native adapter\n         * can know that the element adapter has handled this drag\n         *\n         * We used to wrap this `setData()` in a `try/catch` for Firefox,\n         * but it looks like that was not needed.\n         *\n         * Tested using: https://codesandbox.io/s/checking-firefox-throw-behaviour-on-dragstart-qt8h4f\n         *\n         * - ✅ Firefox@70.0 (Oct 2019) on macOS Sonoma\n         * - ✅ Firefox@70.0 (Oct 2019) on macOS Big Sur\n         * - ✅ Firefox@70.0 (Oct 2019) on Windows 10\n         *\n         * // just checking a few more combinations to be super safe\n         *\n         * - ✅ Chrome@78 (Oct 2019) on macOS Big Sur\n         * - ✅ Chrome@78 (Oct 2019) on Windows 10\n         * - ✅ Safari@14.1 on macOS Big Sur\n         */\n        event.dataTransfer.setData(elementAdapterNativeDataKey, '');\n        var payload = {\n          element: entry.element,\n          dragHandle: (_entry$dragHandle2 = entry.dragHandle) !== null && _entry$dragHandle2 !== void 0 ? _entry$dragHandle2 : null,\n          data: (_entry$getInitialData3 = (_entry$getInitialData4 = entry.getInitialData) === null || _entry$getInitialData4 === void 0 ? void 0 : _entry$getInitialData4.call(entry, feedback)) !== null && _entry$getInitialData3 !== void 0 ? _entry$getInitialData3 : {}\n        };\n        var dragType = {\n          type: 'element',\n          payload: payload,\n          startedFrom: 'internal'\n        };\n        api.start({\n          event: event,\n          dragType: dragType\n        });\n      }\n    }));\n  },\n  dispatchEventToSource: function dispatchEventToSource(_ref) {\n    var _draggableRegistry$ge, _draggableRegistry$ge2;\n    var eventName = _ref.eventName,\n      payload = _ref.payload;\n    // During a drag operation, a draggable can be:\n    // - remounted with different functions\n    // - removed completely\n    // So we need to get the latest entry from the registry in order\n    // to call the latest event functions\n\n    (_draggableRegistry$ge = draggableRegistry.get(payload.source.element)) === null || _draggableRegistry$ge === void 0 || (_draggableRegistry$ge2 = _draggableRegistry$ge[eventName]) === null || _draggableRegistry$ge2 === void 0 || _draggableRegistry$ge2.call(_draggableRegistry$ge,\n    // I cannot seem to get the types right here.\n    // TS doesn't seem to like that one event can need `nativeSetDragImage`\n    // @ts-expect-error\n    payload);\n  },\n  onPostDispatch: honeyPotFix.getOnPostDispatch()\n});\nexport var dropTargetForElements = adapter.dropTarget;\nexport var monitorForElements = adapter.monitor;\nexport function draggable(args) {\n  // Guardrail: warn if the drag handle is not contained in draggable element\n  if (process.env.NODE_ENV !== 'production') {\n    if (args.dragHandle && !args.element.contains(args.dragHandle)) {\n      // eslint-disable-next-line no-console\n      console.warn('Drag handle element must be contained in draggable element', {\n        element: args.element,\n        dragHandle: args.dragHandle\n      });\n    }\n  }\n  // Guardrail: warn if the draggable element is already registered\n  if (process.env.NODE_ENV !== 'production') {\n    var existing = draggableRegistry.get(args.element);\n    if (existing) {\n      // eslint-disable-next-line no-console\n      console.warn('You have already registered a `draggable` on the same element', {\n        existing: existing,\n        proposed: args\n      });\n    }\n  }\n  return combine(\n  // making the draggable register the adapter rather than drop targets\n  // this is because you *must* have a draggable element to start a drag\n  // but you _might_ not have any drop targets immediately\n  // (You might create drop targets async)\n  adapter.registerUsage(), addToRegistry(args), addAttribute(args.element, {\n    attribute: 'draggable',\n    value: 'true'\n  }));\n}\n\n/** Common event payload for all events */\n\n/** A map containing payloads for all events */\n\n/** Common event payload for all drop target events */\n\n/** A map containing payloads for all events on drop targets */\n\n/** Arguments given to all feedback functions (eg `canDrag()`) on for a `draggable()` */\n\n/** Arguments given to all feedback functions (eg `canDrop()`) on a `dropTargetForElements()` */\n\n/** Arguments given to all monitor feedback functions (eg `canMonitor()`) for a `monitorForElements` */","<template>\n  <teleport to=\".graph-canvas-container\">\n    <LiteGraphCanvasSplitterOverlay v-if=\"betaMenuEnabled\">\n      <template #side-bar-panel>\n        <SideToolbar />\n      </template>\n    </LiteGraphCanvasSplitterOverlay>\n    <NodeTitleEditor />\n    <canvas ref=\"canvasRef\" id=\"graph-canvas\" tabindex=\"1\" />\n  </teleport>\n  <NodeSearchboxPopover v-if=\"nodeSearchEnabled\" />\n  <NodeTooltip />\n</template>\n\n<script setup lang=\"ts\">\nimport NodeTitleEditor from '@/components/graph/NodeTitleEditor.vue'\nimport SideToolbar from '@/components/sidebar/SideToolbar.vue'\nimport LiteGraphCanvasSplitterOverlay from '@/components/LiteGraphCanvasSplitterOverlay.vue'\nimport NodeSearchboxPopover from '@/components/searchbox/NodeSearchBoxPopover.vue'\nimport NodeTooltip from '@/components/graph/NodeTooltip.vue'\nimport { ref, computed, onUnmounted, watch, onMounted, watchEffect } from 'vue'\nimport { app as comfyApp } from '@/scripts/app'\nimport { useSettingStore } from '@/stores/settingStore'\nimport { dropTargetForElements } from '@atlaskit/pragmatic-drag-and-drop/element/adapter'\nimport { ComfyNodeDefImpl, useNodeDefStore } from '@/stores/nodeDefStore'\nimport { useWorkspaceStore } from '@/stores/workspaceStateStore'\nimport {\n  LiteGraph,\n  LGraph,\n  LLink,\n  LGraphNode,\n  LGraphGroup,\n  DragAndScale,\n  LGraphCanvas,\n  ContextMenu\n} from '@comfyorg/litegraph'\n\nconst emit = defineEmits(['ready'])\nconst canvasRef = ref<HTMLCanvasElement | null>(null)\nconst settingStore = useSettingStore()\nconst nodeDefStore = useNodeDefStore()\nconst workspaceStore = useWorkspaceStore()\n\nconst betaMenuEnabled = computed(\n  () => settingStore.get('Comfy.UseNewMenu') !== 'Disabled'\n)\nconst nodeSearchEnabled = computed<boolean>(\n  () => settingStore.get('Comfy.NodeSearchBoxImpl') === 'default'\n)\nwatch(\n  nodeSearchEnabled,\n  (newVal) => {\n    LiteGraph.release_link_on_empty_shows_menu = !newVal\n    if (comfyApp.canvas) comfyApp.canvas.allow_searchbox = !newVal\n  },\n  { immediate: true }\n)\nconst canvasInfoEnabled = computed<boolean>(() =>\n  settingStore.get('Comfy.Graph.CanvasInfo')\n)\nwatch(\n  canvasInfoEnabled,\n  (newVal) => {\n    if (comfyApp.canvas) comfyApp.canvas.show_info = newVal\n  },\n  { immediate: true }\n)\n\nconst zoomSpeed = computed(() => settingStore.get('Comfy.Graph.ZoomSpeed'))\nwatch(\n  zoomSpeed,\n  (newVal: number) => {\n    if (comfyApp.canvas) comfyApp.canvas['zoom_speed'] = newVal\n  },\n  { immediate: true }\n)\n\nwatchEffect(() => {\n  nodeDefStore.showDeprecated = settingStore.get('Comfy.Node.ShowDeprecated')\n})\n\nwatchEffect(() => {\n  nodeDefStore.showExperimental = settingStore.get(\n    'Comfy.Node.ShowExperimental'\n  )\n})\n\nwatchEffect(() => {\n  const spellcheckEnabled = settingStore.get('Comfy.TextareaWidget.Spellcheck')\n  const textareas = document.querySelectorAll('textarea.comfy-multiline-input')\n\n  textareas.forEach((textarea: HTMLTextAreaElement) => {\n    textarea.spellcheck = spellcheckEnabled\n    // Force recheck to ensure visual update\n    textarea.focus()\n    textarea.blur()\n  })\n})\n\nlet dropTargetCleanup = () => {}\n\nonMounted(async () => {\n  // Backward compatible\n  // Assign all properties of lg to window\n  window['LiteGraph'] = LiteGraph\n  window['LGraph'] = LGraph\n  window['LLink'] = LLink\n  window['LGraphNode'] = LGraphNode\n  window['LGraphGroup'] = LGraphGroup\n  window['DragAndScale'] = DragAndScale\n  window['LGraphCanvas'] = LGraphCanvas\n  window['ContextMenu'] = ContextMenu\n\n  comfyApp.vueAppReady = true\n\n  workspaceStore.spinner = true\n  await comfyApp.setup(canvasRef.value)\n  comfyApp.canvas.allow_searchbox = !nodeSearchEnabled.value\n  comfyApp.canvas.show_info = canvasInfoEnabled.value\n  comfyApp.canvas['zoom_speed'] = zoomSpeed.value\n  workspaceStore.spinner = false\n\n  window['app'] = comfyApp\n  window['graph'] = comfyApp.graph\n\n  dropTargetCleanup = dropTargetForElements({\n    element: canvasRef.value,\n    onDrop: (event) => {\n      const loc = event.location.current.input\n      const dndData = event.source.data\n\n      if (dndData.type === 'add-node') {\n        const nodeDef = dndData.data as ComfyNodeDefImpl\n        // Add an offset on x to make sure after adding the node, the cursor\n        // is on the node (top left corner)\n        const pos = comfyApp.clientPosToCanvasPos([\n          loc.clientX - 20,\n          loc.clientY\n        ])\n        comfyApp.addNodeOnGraph(nodeDef, { pos })\n      }\n    }\n  })\n  emit('ready')\n})\n\nonUnmounted(() => {\n  dropTargetCleanup()\n})\n</script>\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-confirmpopup {\\n    position: absolute;\\n    margin-top: \".concat(dt('confirmpopup.gutter'), \";\\n    top: 0;\\n    left: 0;\\n    background: \").concat(dt('confirmpopup.background'), \";\\n    color: \").concat(dt('confirmpopup.color'), \";\\n    border: 1px solid \").concat(dt('confirmpopup.border.color'), \";\\n    border-radius: \").concat(dt('confirmpopup.border.radius'), \";\\n    box-shadow: \").concat(dt('confirmpopup.shadow'), \";\\n}\\n\\n.p-confirmpopup-content {\\n    display: flex;\\n    align-items: center;\\n    padding: \").concat(dt('confirmpopup.content.padding'), \";\\n    gap: \").concat(dt('confirmpopup.content.gap'), \";\\n}\\n\\n.p-confirmpopup-icon {\\n    font-size: \").concat(dt('confirmpopup.icon.size'), \";\\n    width: \").concat(dt('confirmpopup.icon.size'), \";\\n    height: \").concat(dt('confirmpopup.icon.size'), \";\\n    color: \").concat(dt('confirmpopup.icon.color'), \";\\n}\\n\\n.p-confirmpopup-footer {\\n    display: flex;\\n    justify-content: flex-end;\\n    gap: \").concat(dt('confirmpopup.footer.gap'), \";\\n    padding: \").concat(dt('confirmpopup.footer.padding'), \";\\n}\\n\\n.p-confirmpopup-footer button {\\n    width: auto;\\n}\\n\\n.p-confirmpopup-footer button:last-child {\\n    margin: 0;\\n}\\n\\n.p-confirmpopup-flipped {\\n    margin-top: calc(\").concat(dt('confirmpopup.gutter'), \" * -1);\\n    margin-bottom: \").concat(dt('confirmpopup.gutter'), \";\\n}\\n\\n.p-confirmpopup-enter-from {\\n    opacity: 0;\\n    transform: scaleY(0.8);\\n}\\n\\n.p-confirmpopup-leave-to {\\n    opacity: 0;\\n}\\n\\n.p-confirmpopup-enter-active {\\n    transition: transform 0.12s cubic-bezier(0, 0, 0.2, 1), opacity 0.12s cubic-bezier(0, 0, 0.2, 1);\\n}\\n\\n.p-confirmpopup-leave-active {\\n    transition: opacity 0.1s linear;\\n}\\n\\n.p-confirmpopup:after,\\n.p-confirmpopup:before {\\n    bottom: 100%;\\n    left: \").concat(dt('confirmpopup.arrow.offset'), \";\\n    content: \\\" \\\";\\n    height: 0;\\n    width: 0;\\n    position: absolute;\\n    pointer-events: none;\\n}\\n\\n.p-confirmpopup:after {\\n    border-width: calc(\").concat(dt('confirmpopup.gutter'), \" - 2px);\\n    margin-left: calc(-1 * (\").concat(dt('confirmpopup.gutter'), \" - 2px));\\n    border-style: solid;\\n    border-color: transparent;\\n    border-bottom-color: \").concat(dt('confirmpopup.background'), \";\\n}\\n\\n.p-confirmpopup:before {\\n    border-width: \").concat(dt('confirmpopup.gutter'), \";\\n    margin-left: calc(-1 * \").concat(dt('confirmpopup.gutter'), \");\\n    border-style: solid;\\n    border-color: transparent;\\n    border-bottom-color: \").concat(dt('confirmpopup.border.color'), \";\\n}\\n\\n.p-confirmpopup-flipped:after,\\n.p-confirmpopup-flipped:before {\\n    bottom: auto;\\n    top: 100%;\\n}\\n\\n.p-confirmpopup-flipped:after {\\n    border-bottom-color: transparent;\\n    border-top-color: \").concat(dt('confirmpopup.background'), \";\\n}\\n\\n.p-confirmpopup-flipped:before {\\n    border-bottom-color: transparent;\\n    border-top-color: \").concat(dt('confirmpopup.border.color'), \";\\n}\\n\");\n};\nvar classes = {\n  root: 'p-confirmpopup p-component',\n  content: 'p-confirmpopup-content',\n  icon: 'p-confirmpopup-icon',\n  message: 'p-confirmpopup-message',\n  footer: 'p-confirmpopup-footer',\n  pcRejectButton: 'p-confirmpopup-reject-button',\n  pcAcceptButton: 'p-confirmpopup-accept-button'\n};\nvar ConfirmPopupStyle = BaseStyle.extend({\n  name: 'confirmpopup',\n  theme: theme,\n  classes: classes\n});\n\nexport { ConfirmPopupStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { ConnectedOverlayScrollHandler } from '@primevue/core/utils';\nimport { focus, absolutePosition, getOffset, addClass, isTouchDevice } from '@primeuix/utils/dom';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport { $dt } from '@primeuix/styled';\nimport Button from 'primevue/button';\nimport ConfirmationEventBus from 'primevue/confirmationeventbus';\nimport FocusTrap from 'primevue/focustrap';\nimport OverlayEventBus from 'primevue/overlayeventbus';\nimport Portal from 'primevue/portal';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport ConfirmPopupStyle from 'primevue/confirmpopup/style';\nimport { resolveComponent, resolveDirective, openBlock, createBlock, withCtx, createVNode, Transition, mergeProps, withDirectives, createElementBlock, renderSlot, Fragment, resolveDynamicComponent, normalizeClass, createCommentVNode, createElementVNode, toDisplayString, createSlots } from 'vue';\n\nvar script$1 = {\n  name: 'BaseConfirmPopup',\n  \"extends\": BaseComponent,\n  props: {\n    group: String\n  },\n  style: ConfirmPopupStyle,\n  provide: function provide() {\n    return {\n      $pcConfirmPopup: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'ConfirmPopup',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  data: function data() {\n    return {\n      visible: false,\n      confirmation: null,\n      autoFocusAccept: null,\n      autoFocusReject: null\n    };\n  },\n  target: null,\n  outsideClickListener: null,\n  scrollHandler: null,\n  resizeListener: null,\n  container: null,\n  confirmListener: null,\n  closeListener: null,\n  mounted: function mounted() {\n    var _this = this;\n    this.confirmListener = function (options) {\n      if (!options) {\n        return;\n      }\n      if (options.group === _this.group) {\n        _this.confirmation = options;\n        _this.target = options.target;\n        if (_this.confirmation.onShow) {\n          _this.confirmation.onShow();\n        }\n        _this.visible = true;\n      }\n    };\n    this.closeListener = function () {\n      _this.visible = false;\n      _this.confirmation = null;\n    };\n    ConfirmationEventBus.on('confirm', this.confirmListener);\n    ConfirmationEventBus.on('close', this.closeListener);\n  },\n  beforeUnmount: function beforeUnmount() {\n    ConfirmationEventBus.off('confirm', this.confirmListener);\n    ConfirmationEventBus.off('close', this.closeListener);\n    this.unbindOutsideClickListener();\n    if (this.scrollHandler) {\n      this.scrollHandler.destroy();\n      this.scrollHandler = null;\n    }\n    this.unbindResizeListener();\n    if (this.container) {\n      ZIndex.clear(this.container);\n      this.container = null;\n    }\n    this.target = null;\n    this.confirmation = null;\n  },\n  methods: {\n    accept: function accept() {\n      if (this.confirmation.accept) {\n        this.confirmation.accept();\n      }\n      this.visible = false;\n    },\n    reject: function reject() {\n      if (this.confirmation.reject) {\n        this.confirmation.reject();\n      }\n      this.visible = false;\n    },\n    onHide: function onHide() {\n      if (this.confirmation.onHide) {\n        this.confirmation.onHide();\n      }\n      this.visible = false;\n    },\n    onAcceptKeydown: function onAcceptKeydown(event) {\n      if (event.code === 'Space' || event.code === 'Enter' || event.code === 'NumpadEnter') {\n        this.accept();\n        focus(this.target);\n        event.preventDefault();\n      }\n    },\n    onRejectKeydown: function onRejectKeydown(event) {\n      if (event.code === 'Space' || event.code === 'Enter' || event.code === 'NumpadEnter') {\n        this.reject();\n        focus(this.target);\n        event.preventDefault();\n      }\n    },\n    onEnter: function onEnter(el) {\n      this.autoFocusAccept = this.confirmation.defaultFocus === undefined || this.confirmation.defaultFocus === 'accept' ? true : false;\n      this.autoFocusReject = this.confirmation.defaultFocus === 'reject' ? true : false;\n      this.bindOutsideClickListener();\n      this.bindScrollListener();\n      this.bindResizeListener();\n      ZIndex.set('overlay', el, this.$primevue.config.zIndex.overlay);\n    },\n    onAfterEnter: function onAfterEnter() {\n      this.focus();\n    },\n    onLeave: function onLeave() {\n      this.autoFocusAccept = null;\n      this.autoFocusReject = null;\n      this.unbindOutsideClickListener();\n      this.unbindScrollListener();\n      this.unbindResizeListener();\n    },\n    onAfterLeave: function onAfterLeave(el) {\n      ZIndex.clear(el);\n    },\n    alignOverlay: function alignOverlay() {\n      absolutePosition(this.container, this.target, false);\n      var containerOffset = getOffset(this.container);\n      var targetOffset = getOffset(this.target);\n      var arrowLeft = 0;\n      if (containerOffset.left < targetOffset.left) {\n        arrowLeft = targetOffset.left - containerOffset.left;\n      }\n      this.container.style.setProperty($dt('overlay.arrow.left').name, \"\".concat(arrowLeft, \"px\"));\n      if (containerOffset.top < targetOffset.top) {\n        this.container.setAttribute('data-p-confirmpopup-flipped', 'true');\n        !this.isUnstyled && addClass(this.container, 'p-confirmpopup-flipped');\n      }\n    },\n    bindOutsideClickListener: function bindOutsideClickListener() {\n      var _this2 = this;\n      if (!this.outsideClickListener) {\n        this.outsideClickListener = function (event) {\n          if (_this2.visible && _this2.container && !_this2.container.contains(event.target) && !_this2.isTargetClicked(event)) {\n            if (_this2.confirmation.onHide) {\n              _this2.confirmation.onHide();\n            }\n            _this2.visible = false;\n          } else {\n            _this2.alignOverlay();\n          }\n        };\n        document.addEventListener('click', this.outsideClickListener);\n      }\n    },\n    unbindOutsideClickListener: function unbindOutsideClickListener() {\n      if (this.outsideClickListener) {\n        document.removeEventListener('click', this.outsideClickListener);\n        this.outsideClickListener = null;\n      }\n    },\n    bindScrollListener: function bindScrollListener() {\n      var _this3 = this;\n      if (!this.scrollHandler) {\n        this.scrollHandler = new ConnectedOverlayScrollHandler(this.target, function () {\n          if (_this3.visible) {\n            _this3.visible = false;\n          }\n        });\n      }\n      this.scrollHandler.bindScrollListener();\n    },\n    unbindScrollListener: function unbindScrollListener() {\n      if (this.scrollHandler) {\n        this.scrollHandler.unbindScrollListener();\n      }\n    },\n    bindResizeListener: function bindResizeListener() {\n      var _this4 = this;\n      if (!this.resizeListener) {\n        this.resizeListener = function () {\n          if (_this4.visible && !isTouchDevice()) {\n            _this4.visible = false;\n          }\n        };\n        window.addEventListener('resize', this.resizeListener);\n      }\n    },\n    unbindResizeListener: function unbindResizeListener() {\n      if (this.resizeListener) {\n        window.removeEventListener('resize', this.resizeListener);\n        this.resizeListener = null;\n      }\n    },\n    focus: function focus() {\n      var focusTarget = this.container.querySelector('[autofocus]');\n      if (focusTarget) {\n        focusTarget.focus({\n          preventScroll: true\n        }); // Firefox requires preventScroll\n      }\n    },\n    isTargetClicked: function isTargetClicked(event) {\n      return this.target && (this.target === event.target || this.target.contains(event.target));\n    },\n    containerRef: function containerRef(el) {\n      this.container = el;\n    },\n    onOverlayClick: function onOverlayClick(event) {\n      OverlayEventBus.emit('overlay-click', {\n        originalEvent: event,\n        target: this.target\n      });\n    },\n    onOverlayKeydown: function onOverlayKeydown(event) {\n      if (event.code === 'Escape') {\n        ConfirmationEventBus.emit('close', this.closeListener);\n        focus(this.target);\n      }\n    },\n    getCXOptions: function getCXOptions(icon, iconProps) {\n      return {\n        contenxt: {\n          icon: icon,\n          iconClass: iconProps[\"class\"]\n        }\n      };\n    }\n  },\n  computed: {\n    message: function message() {\n      return this.confirmation ? this.confirmation.message : null;\n    },\n    acceptLabel: function acceptLabel() {\n      if (this.confirmation) {\n        var confirmation = this.confirmation;\n        return confirmation.acceptLabel ? confirmation.acceptLabel : confirmation.acceptProps ? confirmation.acceptProps.label || this.$primevue.config.locale.accept : null;\n      }\n      return null;\n    },\n    rejectLabel: function rejectLabel() {\n      if (this.confirmation) {\n        var confirmation = this.confirmation;\n        return confirmation.rejectLabel ? confirmation.rejectLabel : confirmation.rejectProps ? confirmation.rejectProps.label || this.$primevue.config.locale.reject : null;\n      }\n      return null;\n    },\n    acceptIcon: function acceptIcon() {\n      var _this$confirmation;\n      return this.confirmation ? this.confirmation.acceptIcon : (_this$confirmation = this.confirmation) !== null && _this$confirmation !== void 0 && _this$confirmation.acceptProps ? this.confirmation.acceptProps.icon : null;\n    },\n    rejectIcon: function rejectIcon() {\n      var _this$confirmation2;\n      return this.confirmation ? this.confirmation.rejectIcon : (_this$confirmation2 = this.confirmation) !== null && _this$confirmation2 !== void 0 && _this$confirmation2.rejectProps ? this.confirmation.rejectProps.icon : null;\n    }\n  },\n  components: {\n    Button: Button,\n    Portal: Portal\n  },\n  directives: {\n    focustrap: FocusTrap\n  }\n};\n\nvar _hoisted_1 = [\"aria-modal\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_Button = resolveComponent(\"Button\");\n  var _component_Portal = resolveComponent(\"Portal\");\n  var _directive_focustrap = resolveDirective(\"focustrap\");\n  return openBlock(), createBlock(_component_Portal, null, {\n    \"default\": withCtx(function () {\n      return [createVNode(Transition, mergeProps({\n        name: \"p-confirmpopup\",\n        onEnter: $options.onEnter,\n        onAfterEnter: $options.onAfterEnter,\n        onLeave: $options.onLeave,\n        onAfterLeave: $options.onAfterLeave\n      }, _ctx.ptm('transition')), {\n        \"default\": withCtx(function () {\n          var _$data$confirmation$r, _$data$confirmation$r2, _$data$confirmation$a;\n          return [$data.visible ? withDirectives((openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 0,\n            ref: $options.containerRef,\n            role: \"alertdialog\",\n            \"class\": _ctx.cx('root'),\n            \"aria-modal\": $data.visible,\n            onClick: _cache[2] || (_cache[2] = function () {\n              return $options.onOverlayClick && $options.onOverlayClick.apply($options, arguments);\n            }),\n            onKeydown: _cache[3] || (_cache[3] = function () {\n              return $options.onOverlayKeydown && $options.onOverlayKeydown.apply($options, arguments);\n            })\n          }, _ctx.ptmi('root')), [_ctx.$slots.container ? renderSlot(_ctx.$slots, \"container\", {\n            key: 0,\n            message: $data.confirmation,\n            acceptCallback: $options.accept,\n            rejectCallback: $options.reject\n          }) : (openBlock(), createElementBlock(Fragment, {\n            key: 1\n          }, [!_ctx.$slots.message ? (openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 0,\n            \"class\": _ctx.cx('content')\n          }, _ctx.ptm('content')), [renderSlot(_ctx.$slots, \"icon\", {}, function () {\n            return [_ctx.$slots.icon ? (openBlock(), createBlock(resolveDynamicComponent(_ctx.$slots.icon), {\n              key: 0,\n              \"class\": normalizeClass(_ctx.cx('icon'))\n            }, null, 8, [\"class\"])) : $data.confirmation.icon ? (openBlock(), createElementBlock(\"span\", mergeProps({\n              key: 1,\n              \"class\": [$data.confirmation.icon, _ctx.cx('icon')]\n            }, _ctx.ptm('icon')), null, 16)) : createCommentVNode(\"\", true)];\n          }), createElementVNode(\"span\", mergeProps({\n            \"class\": _ctx.cx('message')\n          }, _ctx.ptm('message')), toDisplayString($data.confirmation.message), 17)], 16)) : (openBlock(), createBlock(resolveDynamicComponent(_ctx.$slots.message), {\n            key: 1,\n            message: $data.confirmation\n          }, null, 8, [\"message\"])), createElementVNode(\"div\", mergeProps({\n            \"class\": _ctx.cx('footer')\n          }, _ctx.ptm('footer')), [createVNode(_component_Button, mergeProps({\n            \"class\": [_ctx.cx('pcRejectButton'), $data.confirmation.rejectClass],\n            autofocus: $data.autoFocusReject,\n            unstyled: _ctx.unstyled,\n            size: ((_$data$confirmation$r = $data.confirmation.rejectProps) === null || _$data$confirmation$r === void 0 ? void 0 : _$data$confirmation$r.size) || 'small',\n            text: ((_$data$confirmation$r2 = $data.confirmation.rejectProps) === null || _$data$confirmation$r2 === void 0 ? void 0 : _$data$confirmation$r2.text) || false,\n            onClick: _cache[0] || (_cache[0] = function ($event) {\n              return $options.reject();\n            }),\n            onKeydown: $options.onRejectKeydown\n          }, $data.confirmation.rejectProps, {\n            label: $options.rejectLabel,\n            pt: _ctx.ptm('pcRejectButton')\n          }), createSlots({\n            _: 2\n          }, [$options.rejectIcon || _ctx.$slots.rejecticon ? {\n            name: \"icon\",\n            fn: withCtx(function (iconProps) {\n              return [renderSlot(_ctx.$slots, \"rejecticon\", {}, function () {\n                return [createElementVNode(\"span\", mergeProps({\n                  \"class\": [$options.rejectIcon, iconProps[\"class\"]]\n                }, _ctx.ptm('pcRejectButton')['icon'], {\n                  \"data-pc-section\": \"rejectbuttonicon\"\n                }), null, 16)];\n              })];\n            }),\n            key: \"0\"\n          } : undefined]), 1040, [\"class\", \"autofocus\", \"unstyled\", \"size\", \"text\", \"onKeydown\", \"label\", \"pt\"]), createVNode(_component_Button, mergeProps({\n            \"class\": [_ctx.cx('pcAcceptButton'), $data.confirmation.acceptClass],\n            autofocus: $data.autoFocusAccept,\n            unstyled: _ctx.unstyled,\n            size: ((_$data$confirmation$a = $data.confirmation.acceptProps) === null || _$data$confirmation$a === void 0 ? void 0 : _$data$confirmation$a.size) || 'small',\n            onClick: _cache[1] || (_cache[1] = function ($event) {\n              return $options.accept();\n            }),\n            onKeydown: $options.onAcceptKeydown\n          }, $data.confirmation.acceptProps, {\n            label: $options.acceptLabel,\n            pt: _ctx.ptm('pcAcceptButton')\n          }), createSlots({\n            _: 2\n          }, [$options.acceptIcon || _ctx.$slots.accepticon ? {\n            name: \"icon\",\n            fn: withCtx(function (iconProps) {\n              return [renderSlot(_ctx.$slots, \"accepticon\", {}, function () {\n                return [createElementVNode(\"span\", mergeProps({\n                  \"class\": [$options.acceptIcon, iconProps[\"class\"]]\n                }, _ctx.ptm('pcAcceptButton')['icon'], {\n                  \"data-pc-section\": \"acceptbuttonicon\"\n                }), null, 16)];\n              })];\n            }),\n            key: \"0\"\n          } : undefined]), 1040, [\"class\", \"autofocus\", \"unstyled\", \"size\", \"onKeydown\", \"label\", \"pt\"])], 16)], 64))], 16, _hoisted_1)), [[_directive_focustrap]]) : createCommentVNode(\"\", true)];\n        }),\n        _: 3\n      }, 16, [\"onEnter\", \"onAfterEnter\", \"onLeave\", \"onAfterLeave\"])];\n    }),\n    _: 3\n  });\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-contextmenu {\\n    background: \".concat(dt('contextmenu.background'), \";\\n    color: \").concat(dt('contextmenu.color'), \";\\n    border: 1px solid \").concat(dt('contextmenu.border.color'), \";\\n    border-radius: \").concat(dt('contextmenu.border.radius'), \";\\n    box-shadow: \").concat(dt('contextmenu.shadow'), \";\\n    min-width: 12.5rem;\\n}\\n\\n.p-contextmenu-root-list,\\n.p-contextmenu-submenu {\\n    margin: 0;\\n    padding: \").concat(dt('contextmenu.list.padding'), \";\\n    list-style: none;\\n    outline: 0 none;\\n    display: flex;\\n    flex-direction: column;\\n    gap: \").concat(dt('contextmenu.list.gap'), \";\\n}\\n\\n.p-contextmenu-submenu {\\n    position: absolute;\\n    display: flex;\\n    flex-direction: column;\\n    min-width: 100%;\\n    z-index: 1;\\n    background: \").concat(dt('contextmenu.background'), \";\\n    color: \").concat(dt('contextmenu.color'), \";\\n    border: 1px solid \").concat(dt('contextmenu.border.color'), \";\\n    border-radius: \").concat(dt('contextmenu.border.radius'), \";\\n    box-shadow: \").concat(dt('contextmenu.shadow'), \";\\n}\\n\\n.p-contextmenu-item {\\n    position: relative;\\n}\\n\\n.p-contextmenu-item-content {\\n    transition: background \").concat(dt('contextmenu.transition.duration'), \", color \").concat(dt('contextmenu.transition.duration'), \";\\n    border-radius: \").concat(dt('contextmenu.item.border.radius'), \";\\n    color: \").concat(dt('contextmenu.item.color'), \";\\n}\\n\\n.p-contextmenu-item-link {\\n    cursor: pointer;\\n    display: flex;\\n    align-items: center;\\n    text-decoration: none;\\n    overflow: hidden;\\n    position: relative;\\n    color: inherit;\\n    padding: \").concat(dt('contextmenu.item.padding'), \";\\n    gap: \").concat(dt('contextmenu.item.gap'), \";\\n    user-select: none;\\n}\\n\\n.p-contextmenu-item-label {\\n    line-height: 1;\\n}\\n\\n.p-contextmenu-item-icon {\\n    color: \").concat(dt('contextmenu.item.icon.color'), \";\\n}\\n\\n.p-contextmenu-submenu-icon {\\n    color: \").concat(dt('contextmenu.submenu.icon.color'), \";\\n    margin-left: auto;\\n    font-size: \").concat(dt('contextmenu.submenu.icon.size'), \";\\n    width: \").concat(dt('contextmenu.submenu.icon.size'), \";\\n    height: \").concat(dt('contextmenu.submenu.icon.size'), \";\\n}\\n\\n.p-contextmenu-item.p-focus > .p-contextmenu-item-content {\\n    color: \").concat(dt('contextmenu.item.focus.color'), \";\\n    background: \").concat(dt('contextmenu.item.focus.background'), \";\\n}\\n\\n.p-contextmenu-item.p-focus > .p-contextmenu-item-content .p-contextmenu-item-icon {\\n    color: \").concat(dt('contextmenu.item.icon.focus.color'), \";\\n}\\n\\n.p-contextmenu-item.p-focus > .p-contextmenu-item-content .p-contextmenu-submenu-icon {\\n    color: \").concat(dt('contextmenu.submenu.icon.focus.color'), \";\\n}\\n\\n.p-contextmenu-item:not(.p-disabled) > .p-contextmenu-item-content:hover {\\n    color: \").concat(dt('contextmenu.item.focus.color'), \";\\n    background: \").concat(dt('contextmenu.item.focus.background'), \";\\n}\\n\\n.p-contextmenu-item:not(.p-disabled) > .p-contextmenu-item-content:hover .p-contextmenu-item-icon {\\n    color: \").concat(dt('contextmenu.item.icon.focus.color'), \";\\n}\\n\\n.p-contextmenu-item:not(.p-disabled) > .p-contextmenu-item-content:hover .p-contextmenu-submenu-icon {\\n    color: \").concat(dt('contextmenu.submenu.icon.focus.color'), \";\\n}\\n\\n.p-contextmenu-item-active > .p-contextmenu-item-content {\\n    color: \").concat(dt('contextmenu.item.active.color'), \";\\n    background: \").concat(dt('contextmenu.item.active.background'), \";\\n}\\n\\n.p-contextmenu-item-active > .p-contextmenu-item-content .p-contextmenu-item-icon {\\n    color: \").concat(dt('contextmenu.item.icon.active.color'), \";\\n}\\n\\n.p-contextmenu-item-active > .p-contextmenu-item-content .p-contextmenu-submenu-icon {\\n    color: \").concat(dt('contextmenu.submenu.icon.active.color'), \";\\n}\\n\\n.p-contextmenu-separator {\\n    border-top: 1px solid  \").concat(dt('contextmenu.separator.border.color'), \";\\n}\\n\\n.p-contextmenu-enter-from,\\n.p-contextmenu-leave-active {\\n    opacity: 0;\\n}\\n\\n.p-contextmenu-enter-active {\\n    transition: opacity 250ms;\\n}\\n\");\n};\nvar classes = {\n  root: 'p-contextmenu p-component',\n  rootList: 'p-contextmenu-root-list',\n  item: function item(_ref2) {\n    var instance = _ref2.instance,\n      processedItem = _ref2.processedItem;\n    return ['p-contextmenu-item', {\n      'p-contextmenu-item-active': instance.isItemActive(processedItem),\n      'p-focus': instance.isItemFocused(processedItem),\n      'p-disabled': instance.isItemDisabled(processedItem)\n    }];\n  },\n  itemContent: 'p-contextmenu-item-content',\n  itemLink: 'p-contextmenu-item-link',\n  itemIcon: 'p-contextmenu-item-icon',\n  itemLabel: 'p-contextmenu-item-label',\n  submenuIcon: 'p-contextmenu-submenu-icon',\n  submenu: 'p-contextmenu-submenu',\n  separator: 'p-contextmenu-separator'\n};\nvar ContextMenuStyle = BaseStyle.extend({\n  name: 'contextmenu',\n  theme: theme,\n  classes: classes\n});\n\nexport { ContextMenuStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'AngleRightIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M5.25 11.1728C5.14929 11.1694 5.05033 11.1455 4.9592 11.1025C4.86806 11.0595 4.78666 10.9984 4.72 10.9228C4.57955 10.7822 4.50066 10.5916 4.50066 10.3928C4.50066 10.1941 4.57955 10.0035 4.72 9.86283L7.72 6.86283L4.72 3.86283C4.66067 3.71882 4.64765 3.55991 4.68275 3.40816C4.71785 3.25642 4.79932 3.11936 4.91585 3.01602C5.03238 2.91268 5.17819 2.84819 5.33305 2.83149C5.4879 2.81479 5.64411 2.84671 5.78 2.92283L9.28 6.42283C9.42045 6.56346 9.49934 6.75408 9.49934 6.95283C9.49934 7.15158 9.42045 7.34221 9.28 7.48283L5.78 10.9228C5.71333 10.9984 5.63193 11.0595 5.5408 11.1025C5.44966 11.1455 5.35071 11.1694 5.25 11.1728Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import { UniqueComponentId } from '@primevue/core/utils';\nimport { nestedPosition, focus, findSingle, addStyle, getHiddenElementOuterWidth, getHiddenElementOuterHeight, getViewport, isTouchDevice } from '@primeuix/utils/dom';\nimport { resolve, isNotEmpty, isPrintableCharacter, isEmpty, findLastIndex } from '@primeuix/utils/object';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport Portal from 'primevue/portal';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport ContextMenuStyle from 'primevue/contextmenu/style';\nimport AngleRightIcon from '@primevue/icons/angleright';\nimport Ripple from 'primevue/ripple';\nimport { mergeProps, resolveComponent, resolveDirective, openBlock, createBlock, Transition, withCtx, createElementBlock, Fragment, renderList, createElementVNode, withDirectives, resolveDynamicComponent, normalizeClass, createCommentVNode, toDisplayString, createVNode } from 'vue';\n\nvar script$2 = {\n  name: 'BaseContextMenu',\n  \"extends\": BaseComponent,\n  props: {\n    model: {\n      type: Array,\n      \"default\": null\n    },\n    appendTo: {\n      type: [String, Object],\n      \"default\": 'body'\n    },\n    autoZIndex: {\n      type: Boolean,\n      \"default\": true\n    },\n    baseZIndex: {\n      type: Number,\n      \"default\": 0\n    },\n    global: {\n      type: Boolean,\n      \"default\": false\n    },\n    tabindex: {\n      type: Number,\n      \"default\": 0\n    },\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: ContextMenuStyle,\n  provide: function provide() {\n    return {\n      $pcContextMenu: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script$1 = {\n  name: 'ContextMenuSub',\n  hostName: 'ContextMenu',\n  \"extends\": BaseComponent,\n  emits: ['item-click', 'item-mouseenter', 'item-mousemove'],\n  props: {\n    items: {\n      type: Array,\n      \"default\": null\n    },\n    menuId: {\n      type: String,\n      \"default\": null\n    },\n    focusedItemId: {\n      type: String,\n      \"default\": null\n    },\n    root: {\n      type: Boolean,\n      \"default\": false\n    },\n    visible: {\n      type: Boolean,\n      \"default\": false\n    },\n    level: {\n      type: Number,\n      \"default\": 0\n    },\n    templates: {\n      type: Object,\n      \"default\": null\n    },\n    activeItemPath: {\n      type: Object,\n      \"default\": null\n    },\n    tabindex: {\n      type: Number,\n      \"default\": 0\n    }\n  },\n  methods: {\n    getItemId: function getItemId(processedItem) {\n      return \"\".concat(this.menuId, \"_\").concat(processedItem.key);\n    },\n    getItemKey: function getItemKey(processedItem) {\n      return this.getItemId(processedItem);\n    },\n    getItemProp: function getItemProp(processedItem, name, params) {\n      return processedItem && processedItem.item ? resolve(processedItem.item[name], params) : undefined;\n    },\n    getItemLabel: function getItemLabel(processedItem) {\n      return this.getItemProp(processedItem, 'label');\n    },\n    getItemLabelId: function getItemLabelId(processedItem) {\n      return \"\".concat(this.menuId, \"_\").concat(processedItem.key, \"_label\");\n    },\n    getPTOptions: function getPTOptions(key, processedItem, index) {\n      return this.ptm(key, {\n        context: {\n          item: processedItem,\n          active: this.isItemActive(processedItem),\n          focused: this.isItemFocused(processedItem),\n          disabled: this.isItemDisabled(processedItem),\n          index: index\n        }\n      });\n    },\n    isItemActive: function isItemActive(processedItem) {\n      return this.activeItemPath.some(function (path) {\n        return path.key === processedItem.key;\n      });\n    },\n    isItemVisible: function isItemVisible(processedItem) {\n      return this.getItemProp(processedItem, 'visible') !== false;\n    },\n    isItemDisabled: function isItemDisabled(processedItem) {\n      return this.getItemProp(processedItem, 'disabled');\n    },\n    isItemFocused: function isItemFocused(processedItem) {\n      return this.focusedItemId === this.getItemId(processedItem);\n    },\n    isItemGroup: function isItemGroup(processedItem) {\n      return isNotEmpty(processedItem.items);\n    },\n    onItemClick: function onItemClick(event, processedItem) {\n      this.getItemProp(processedItem, 'command', {\n        originalEvent: event,\n        item: processedItem.item\n      });\n      this.$emit('item-click', {\n        originalEvent: event,\n        processedItem: processedItem,\n        isFocus: true\n      });\n    },\n    onItemMouseEnter: function onItemMouseEnter(event, processedItem) {\n      this.$emit('item-mouseenter', {\n        originalEvent: event,\n        processedItem: processedItem\n      });\n    },\n    onItemMouseMove: function onItemMouseMove(event, processedItem) {\n      this.$emit('item-mousemove', {\n        originalEvent: event,\n        processedItem: processedItem,\n        isFocus: true\n      });\n    },\n    getAriaSetSize: function getAriaSetSize() {\n      var _this = this;\n      return this.items.filter(function (processedItem) {\n        return _this.isItemVisible(processedItem) && !_this.getItemProp(processedItem, 'separator');\n      }).length;\n    },\n    getAriaPosInset: function getAriaPosInset(index) {\n      var _this2 = this;\n      return index - this.items.slice(0, index).filter(function (processedItem) {\n        return _this2.isItemVisible(processedItem) && _this2.getItemProp(processedItem, 'separator');\n      }).length + 1;\n    },\n    onEnter: function onEnter() {\n      nestedPosition(this.$refs.container, this.level);\n    },\n    getMenuItemProps: function getMenuItemProps(processedItem, index) {\n      return {\n        action: mergeProps({\n          \"class\": this.cx('itemLink'),\n          tabindex: -1,\n          'aria-hidden': true\n        }, this.getPTOptions('itemLink', processedItem, index)),\n        icon: mergeProps({\n          \"class\": [this.cx('itemIcon'), this.getItemProp(processedItem, 'icon')]\n        }, this.getPTOptions('itemIcon', processedItem, index)),\n        label: mergeProps({\n          \"class\": this.cx('itemLabel')\n        }, this.getPTOptions('itemLabel', processedItem, index)),\n        submenuicon: mergeProps({\n          \"class\": this.cx('submenuIcon')\n        }, this.getPTOptions('submenuicon', processedItem, index))\n      };\n    }\n  },\n  components: {\n    AngleRightIcon: AngleRightIcon\n  },\n  directives: {\n    ripple: Ripple\n  }\n};\n\nvar _hoisted_1 = [\"tabindex\"];\nvar _hoisted_2 = [\"id\", \"aria-label\", \"aria-disabled\", \"aria-expanded\", \"aria-haspopup\", \"aria-level\", \"aria-setsize\", \"aria-posinset\", \"data-p-active\", \"data-p-focused\", \"data-p-disabled\"];\nvar _hoisted_3 = [\"onClick\", \"onMouseenter\", \"onMousemove\"];\nvar _hoisted_4 = [\"href\", \"target\"];\nvar _hoisted_5 = [\"id\"];\nvar _hoisted_6 = [\"id\"];\nfunction render$1(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_AngleRightIcon = resolveComponent(\"AngleRightIcon\");\n  var _component_ContextMenuSub = resolveComponent(\"ContextMenuSub\", true);\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return openBlock(), createBlock(Transition, mergeProps({\n    name: \"p-contextmenusub\",\n    onEnter: $options.onEnter\n  }, _ctx.ptm('menu.transition')), {\n    \"default\": withCtx(function () {\n      return [($props.root ? true : $props.visible) ? (openBlock(), createElementBlock(\"ul\", mergeProps({\n        key: 0,\n        ref: \"container\",\n        tabindex: $props.tabindex\n      }, _ctx.ptm('rootList')), [(openBlock(true), createElementBlock(Fragment, null, renderList($props.items, function (processedItem, index) {\n        return openBlock(), createElementBlock(Fragment, {\n          key: $options.getItemKey(processedItem)\n        }, [$options.isItemVisible(processedItem) && !$options.getItemProp(processedItem, 'separator') ? (openBlock(), createElementBlock(\"li\", mergeProps({\n          key: 0,\n          id: $options.getItemId(processedItem),\n          style: $options.getItemProp(processedItem, 'style'),\n          \"class\": [_ctx.cx('item', {\n            processedItem: processedItem\n          }), $options.getItemProp(processedItem, 'class')],\n          role: \"menuitem\",\n          \"aria-label\": $options.getItemLabel(processedItem),\n          \"aria-disabled\": $options.isItemDisabled(processedItem) || undefined,\n          \"aria-expanded\": $options.isItemGroup(processedItem) ? $options.isItemActive(processedItem) : undefined,\n          \"aria-haspopup\": $options.isItemGroup(processedItem) && !$options.getItemProp(processedItem, 'to') ? 'menu' : undefined,\n          \"aria-level\": $props.level + 1,\n          \"aria-setsize\": $options.getAriaSetSize(),\n          \"aria-posinset\": $options.getAriaPosInset(index),\n          ref_for: true\n        }, $options.getPTOptions('item', processedItem, index), {\n          \"data-p-active\": $options.isItemActive(processedItem),\n          \"data-p-focused\": $options.isItemFocused(processedItem),\n          \"data-p-disabled\": $options.isItemDisabled(processedItem)\n        }), [createElementVNode(\"div\", mergeProps({\n          \"class\": _ctx.cx('itemContent'),\n          onClick: function onClick($event) {\n            return $options.onItemClick($event, processedItem);\n          },\n          onMouseenter: function onMouseenter($event) {\n            return $options.onItemMouseEnter($event, processedItem);\n          },\n          onMousemove: function onMousemove($event) {\n            return $options.onItemMouseMove($event, processedItem);\n          },\n          ref_for: true\n        }, $options.getPTOptions('itemContent', processedItem, index)), [!$props.templates.item ? withDirectives((openBlock(), createElementBlock(\"a\", mergeProps({\n          key: 0,\n          href: $options.getItemProp(processedItem, 'url'),\n          \"class\": _ctx.cx('itemLink'),\n          target: $options.getItemProp(processedItem, 'target'),\n          tabindex: \"-1\",\n          \"aria-hidden\": \"true\",\n          ref_for: true\n        }, $options.getPTOptions('itemLink', processedItem, index)), [$props.templates.itemicon ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.itemicon), {\n          key: 0,\n          item: processedItem.item,\n          \"class\": normalizeClass(_ctx.cx('itemIcon'))\n        }, null, 8, [\"item\", \"class\"])) : $options.getItemProp(processedItem, 'icon') ? (openBlock(), createElementBlock(\"span\", mergeProps({\n          key: 1,\n          \"class\": [_ctx.cx('itemIcon'), $options.getItemProp(processedItem, 'icon')],\n          ref_for: true\n        }, $options.getPTOptions('itemIcon', processedItem, index)), null, 16)) : createCommentVNode(\"\", true), createElementVNode(\"span\", mergeProps({\n          id: $options.getItemLabelId(processedItem),\n          \"class\": _ctx.cx('itemLabel'),\n          ref_for: true\n        }, $options.getPTOptions('itemLabel', processedItem, index)), toDisplayString($options.getItemLabel(processedItem)), 17, _hoisted_5), $options.getItemProp(processedItem, 'items') ? (openBlock(), createElementBlock(Fragment, {\n          key: 2\n        }, [$props.templates.submenuicon ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.submenuicon), {\n          key: 0,\n          active: $options.isItemActive(processedItem),\n          \"class\": normalizeClass(_ctx.cx('submenuIcon'))\n        }, null, 8, [\"active\", \"class\"])) : (openBlock(), createBlock(_component_AngleRightIcon, mergeProps({\n          key: 1,\n          \"class\": _ctx.cx('submenuIcon'),\n          ref_for: true\n        }, $options.getPTOptions('submenuicon', processedItem, index)), null, 16, [\"class\"]))], 64)) : createCommentVNode(\"\", true)], 16, _hoisted_4)), [[_directive_ripple]]) : (openBlock(), createBlock(resolveDynamicComponent($props.templates.item), {\n          key: 1,\n          item: processedItem.item,\n          hasSubmenu: $options.getItemProp(processedItem, 'items'),\n          label: $options.getItemLabel(processedItem),\n          props: $options.getMenuItemProps(processedItem, index)\n        }, null, 8, [\"item\", \"hasSubmenu\", \"label\", \"props\"]))], 16, _hoisted_3), $options.isItemVisible(processedItem) && $options.isItemGroup(processedItem) ? (openBlock(), createBlock(_component_ContextMenuSub, mergeProps({\n          key: 0,\n          id: $options.getItemId(processedItem) + '_list',\n          role: \"menu\",\n          \"class\": _ctx.cx('submenu'),\n          menuId: $props.menuId,\n          focusedItemId: $props.focusedItemId,\n          items: processedItem.items,\n          templates: $props.templates,\n          activeItemPath: $props.activeItemPath,\n          level: $props.level + 1,\n          visible: $options.isItemActive(processedItem) && $options.isItemGroup(processedItem),\n          pt: _ctx.pt,\n          unstyled: _ctx.unstyled,\n          onItemClick: _cache[0] || (_cache[0] = function ($event) {\n            return _ctx.$emit('item-click', $event);\n          }),\n          onItemMouseenter: _cache[1] || (_cache[1] = function ($event) {\n            return _ctx.$emit('item-mouseenter', $event);\n          }),\n          onItemMousemove: _cache[2] || (_cache[2] = function ($event) {\n            return _ctx.$emit('item-mousemove', $event);\n          }),\n          \"aria-labelledby\": $options.getItemLabelId(processedItem),\n          ref_for: true\n        }, _ctx.ptm('submenu')), null, 16, [\"id\", \"class\", \"menuId\", \"focusedItemId\", \"items\", \"templates\", \"activeItemPath\", \"level\", \"visible\", \"pt\", \"unstyled\", \"aria-labelledby\"])) : createCommentVNode(\"\", true)], 16, _hoisted_2)) : createCommentVNode(\"\", true), $options.isItemVisible(processedItem) && $options.getItemProp(processedItem, 'separator') ? (openBlock(), createElementBlock(\"li\", mergeProps({\n          key: 1,\n          id: $options.getItemId(processedItem),\n          style: $options.getItemProp(processedItem, 'style'),\n          \"class\": [_ctx.cx('separator'), $options.getItemProp(processedItem, 'class')],\n          role: \"separator\",\n          ref_for: true\n        }, _ctx.ptm('separator')), null, 16, _hoisted_6)) : createCommentVNode(\"\", true)], 64);\n      }), 128))], 16, _hoisted_1)) : createCommentVNode(\"\", true)];\n    }),\n    _: 1\n  }, 16, [\"onEnter\"]);\n}\n\nscript$1.render = render$1;\n\nvar script = {\n  name: 'ContextMenu',\n  \"extends\": script$2,\n  inheritAttrs: false,\n  emits: ['focus', 'blur', 'show', 'hide', 'before-show', 'before-hide'],\n  target: null,\n  outsideClickListener: null,\n  resizeListener: null,\n  documentContextMenuListener: null,\n  pageX: null,\n  pageY: null,\n  container: null,\n  list: null,\n  data: function data() {\n    return {\n      id: this.$attrs.id,\n      focused: false,\n      focusedItemInfo: {\n        index: -1,\n        level: 0,\n        parentKey: ''\n      },\n      activeItemPath: [],\n      visible: false,\n      submenuVisible: false\n    };\n  },\n  watch: {\n    '$attrs.id': function $attrsId(newValue) {\n      this.id = newValue || UniqueComponentId();\n    },\n    activeItemPath: function activeItemPath(newPath) {\n      if (isNotEmpty(newPath)) {\n        this.bindOutsideClickListener();\n        this.bindResizeListener();\n      } else if (!this.visible) {\n        this.unbindOutsideClickListener();\n        this.unbindResizeListener();\n      }\n    }\n  },\n  mounted: function mounted() {\n    this.id = this.id || UniqueComponentId();\n    if (this.global) {\n      this.bindDocumentContextMenuListener();\n    }\n  },\n  beforeUnmount: function beforeUnmount() {\n    this.unbindResizeListener();\n    this.unbindOutsideClickListener();\n    this.unbindDocumentContextMenuListener();\n    if (this.container && this.autoZIndex) {\n      ZIndex.clear(this.container);\n    }\n    this.target = null;\n    this.container = null;\n  },\n  methods: {\n    getItemProp: function getItemProp(item, name) {\n      return item ? resolve(item[name]) : undefined;\n    },\n    getItemLabel: function getItemLabel(item) {\n      return this.getItemProp(item, 'label');\n    },\n    isItemDisabled: function isItemDisabled(item) {\n      return this.getItemProp(item, 'disabled');\n    },\n    isItemVisible: function isItemVisible(item) {\n      return this.getItemProp(item, 'visible') !== false;\n    },\n    isItemGroup: function isItemGroup(item) {\n      return isNotEmpty(this.getItemProp(item, 'items'));\n    },\n    isItemSeparator: function isItemSeparator(item) {\n      return this.getItemProp(item, 'separator');\n    },\n    getProccessedItemLabel: function getProccessedItemLabel(processedItem) {\n      return processedItem ? this.getItemLabel(processedItem.item) : undefined;\n    },\n    isProccessedItemGroup: function isProccessedItemGroup(processedItem) {\n      return processedItem && isNotEmpty(processedItem.items);\n    },\n    toggle: function toggle(event) {\n      this.visible ? this.hide() : this.show(event);\n    },\n    show: function show(event) {\n      this.$emit('before-show');\n      this.activeItemPath = [];\n      this.focusedItemInfo = {\n        index: -1,\n        level: 0,\n        parentKey: ''\n      };\n      focus(this.list);\n      this.pageX = event.pageX;\n      this.pageY = event.pageY;\n      this.visible ? this.position() : this.visible = true;\n      event.stopPropagation();\n      event.preventDefault();\n    },\n    hide: function hide() {\n      this.$emit('before-hide');\n      this.visible = false;\n      this.activeItemPath = [];\n      this.focusedItemInfo = {\n        index: -1,\n        level: 0,\n        parentKey: ''\n      };\n    },\n    onFocus: function onFocus(event) {\n      this.focused = true;\n      this.focusedItemInfo = this.focusedItemInfo.index !== -1 ? this.focusedItemInfo : {\n        index: -1,\n        level: 0,\n        parentKey: ''\n      };\n      this.$emit('focus', event);\n    },\n    onBlur: function onBlur(event) {\n      this.focused = false;\n      this.focusedItemInfo = {\n        index: -1,\n        level: 0,\n        parentKey: ''\n      };\n      this.searchValue = '';\n      this.$emit('blur', event);\n    },\n    onKeyDown: function onKeyDown(event) {\n      var metaKey = event.metaKey || event.ctrlKey;\n      switch (event.code) {\n        case 'ArrowDown':\n          this.onArrowDownKey(event);\n          break;\n        case 'ArrowUp':\n          this.onArrowUpKey(event);\n          break;\n        case 'ArrowLeft':\n          this.onArrowLeftKey(event);\n          break;\n        case 'ArrowRight':\n          this.onArrowRightKey(event);\n          break;\n        case 'Home':\n          this.onHomeKey(event);\n          break;\n        case 'End':\n          this.onEndKey(event);\n          break;\n        case 'Space':\n          this.onSpaceKey(event);\n          break;\n        case 'Enter':\n        case 'NumpadEnter':\n          this.onEnterKey(event);\n          break;\n        case 'Escape':\n          this.onEscapeKey(event);\n          break;\n        case 'Tab':\n          this.onTabKey(event);\n          break;\n        case 'PageDown':\n        case 'PageUp':\n        case 'Backspace':\n        case 'ShiftLeft':\n        case 'ShiftRight':\n          //NOOP\n          break;\n        default:\n          if (!metaKey && isPrintableCharacter(event.key)) {\n            this.searchItems(event, event.key);\n          }\n          break;\n      }\n    },\n    onItemChange: function onItemChange(event) {\n      var processedItem = event.processedItem,\n        isFocus = event.isFocus;\n      if (isEmpty(processedItem)) return;\n      var index = processedItem.index,\n        key = processedItem.key,\n        level = processedItem.level,\n        parentKey = processedItem.parentKey,\n        items = processedItem.items;\n      var grouped = isNotEmpty(items);\n      var activeItemPath = this.activeItemPath.filter(function (p) {\n        return p.parentKey !== parentKey && p.parentKey !== key;\n      });\n      if (grouped) {\n        activeItemPath.push(processedItem);\n        this.submenuVisible = true;\n      }\n      this.focusedItemInfo = {\n        index: index,\n        level: level,\n        parentKey: parentKey\n      };\n      this.activeItemPath = activeItemPath;\n      isFocus && focus(this.list);\n    },\n    onItemClick: function onItemClick(event) {\n      var processedItem = event.processedItem;\n      var grouped = this.isProccessedItemGroup(processedItem);\n      var selected = this.isSelected(processedItem);\n      if (selected) {\n        var index = processedItem.index,\n          key = processedItem.key,\n          level = processedItem.level,\n          parentKey = processedItem.parentKey;\n        this.activeItemPath = this.activeItemPath.filter(function (p) {\n          return key !== p.key && key.startsWith(p.key);\n        });\n        this.focusedItemInfo = {\n          index: index,\n          level: level,\n          parentKey: parentKey\n        };\n        focus(this.list);\n      } else {\n        grouped ? this.onItemChange(event) : this.hide();\n      }\n    },\n    onItemMouseEnter: function onItemMouseEnter(event) {\n      this.onItemChange(event);\n    },\n    onItemMouseMove: function onItemMouseMove(event) {\n      if (this.focused) {\n        this.changeFocusedItemIndex(event, event.processedItem.index);\n      }\n    },\n    onArrowDownKey: function onArrowDownKey(event) {\n      var itemIndex = this.focusedItemInfo.index !== -1 ? this.findNextItemIndex(this.focusedItemInfo.index) : this.findFirstFocusedItemIndex();\n      this.changeFocusedItemIndex(event, itemIndex);\n      event.preventDefault();\n    },\n    onArrowUpKey: function onArrowUpKey(event) {\n      if (event.altKey) {\n        if (this.focusedItemInfo.index !== -1) {\n          var processedItem = this.visibleItems[this.focusedItemInfo.index];\n          var grouped = this.isProccessedItemGroup(processedItem);\n          !grouped && this.onItemChange({\n            originalEvent: event,\n            processedItem: processedItem\n          });\n        }\n        this.popup && this.hide();\n        event.preventDefault();\n      } else {\n        var itemIndex = this.focusedItemInfo.index !== -1 ? this.findPrevItemIndex(this.focusedItemInfo.index) : this.findLastFocusedItemIndex();\n        this.changeFocusedItemIndex(event, itemIndex);\n        event.preventDefault();\n      }\n    },\n    onArrowLeftKey: function onArrowLeftKey(event) {\n      var _this = this;\n      var processedItem = this.visibleItems[this.focusedItemInfo.index];\n      var parentItem = this.activeItemPath.find(function (p) {\n        return p.key === processedItem.parentKey;\n      });\n      var root = isEmpty(processedItem.parent);\n      if (!root) {\n        this.focusedItemInfo = {\n          index: -1,\n          parentKey: parentItem ? parentItem.parentKey : ''\n        };\n        this.searchValue = '';\n        this.onArrowDownKey(event);\n      }\n      this.activeItemPath = this.activeItemPath.filter(function (p) {\n        return p.parentKey !== _this.focusedItemInfo.parentKey;\n      });\n      event.preventDefault();\n    },\n    onArrowRightKey: function onArrowRightKey(event) {\n      var processedItem = this.visibleItems[this.focusedItemInfo.index];\n      var grouped = this.isProccessedItemGroup(processedItem);\n      if (grouped) {\n        this.onItemChange({\n          originalEvent: event,\n          processedItem: processedItem\n        });\n        this.focusedItemInfo = {\n          index: -1,\n          parentKey: processedItem.key\n        };\n        this.searchValue = '';\n        this.onArrowDownKey(event);\n      }\n      event.preventDefault();\n    },\n    onHomeKey: function onHomeKey(event) {\n      this.changeFocusedItemIndex(event, this.findFirstItemIndex());\n      event.preventDefault();\n    },\n    onEndKey: function onEndKey(event) {\n      this.changeFocusedItemIndex(event, this.findLastItemIndex());\n      event.preventDefault();\n    },\n    onEnterKey: function onEnterKey(event) {\n      if (this.focusedItemInfo.index !== -1) {\n        var element = findSingle(this.list, \"li[id=\\\"\".concat(\"\".concat(this.focusedItemIdx), \"\\\"]\"));\n        var anchorElement = element && findSingle(element, 'a[data-pc-section=\"itemlink\"]');\n        anchorElement ? anchorElement.click() : element && element.click();\n        var processedItem = this.visibleItems[this.focusedItemInfo.index];\n        var grouped = this.isProccessedItemGroup(processedItem);\n        !grouped && (this.focusedItemInfo.index = this.findFirstFocusedItemIndex());\n      }\n      event.preventDefault();\n    },\n    onSpaceKey: function onSpaceKey(event) {\n      this.onEnterKey(event);\n    },\n    onEscapeKey: function onEscapeKey(event) {\n      this.hide();\n      !this.popup && (this.focusedItemInfo.index = this.findFirstFocusedItemIndex());\n      event.preventDefault();\n    },\n    onTabKey: function onTabKey(event) {\n      if (this.focusedItemInfo.index !== -1) {\n        var processedItem = this.visibleItems[this.focusedItemInfo.index];\n        var grouped = this.isProccessedItemGroup(processedItem);\n        !grouped && this.onItemChange({\n          originalEvent: event,\n          processedItem: processedItem\n        });\n      }\n      this.hide();\n    },\n    onEnter: function onEnter(el) {\n      addStyle(el, {\n        position: 'absolute'\n      });\n      this.position();\n      if (this.autoZIndex) {\n        ZIndex.set('menu', el, this.baseZIndex + this.$primevue.config.zIndex.menu);\n      }\n    },\n    onAfterEnter: function onAfterEnter() {\n      this.bindOutsideClickListener();\n      this.bindResizeListener();\n      this.$emit('show');\n      focus(this.list);\n    },\n    onLeave: function onLeave() {\n      this.$emit('hide');\n      this.container = null;\n    },\n    onAfterLeave: function onAfterLeave(el) {\n      if (this.autoZIndex) {\n        ZIndex.clear(el);\n      }\n      this.unbindOutsideClickListener();\n      this.unbindResizeListener();\n    },\n    position: function position() {\n      var left = this.pageX + 1;\n      var top = this.pageY + 1;\n      var width = this.container.offsetParent ? this.container.offsetWidth : getHiddenElementOuterWidth(this.container);\n      var height = this.container.offsetParent ? this.container.offsetHeight : getHiddenElementOuterHeight(this.container);\n      var viewport = getViewport();\n\n      //flip\n      if (left + width - document.body.scrollLeft > viewport.width) {\n        left -= width;\n      }\n\n      //flip\n      if (top + height - document.body.scrollTop > viewport.height) {\n        top -= height;\n      }\n\n      //fit\n      if (left < document.body.scrollLeft) {\n        left = document.body.scrollLeft;\n      }\n\n      //fit\n      if (top < document.body.scrollTop) {\n        top = document.body.scrollTop;\n      }\n      this.container.style.left = left + 'px';\n      this.container.style.top = top + 'px';\n    },\n    bindOutsideClickListener: function bindOutsideClickListener() {\n      var _this2 = this;\n      if (!this.outsideClickListener) {\n        this.outsideClickListener = function (event) {\n          var isOutsideContainer = _this2.container && !_this2.container.contains(event.target);\n          var isOutsideTarget = _this2.visible ? !(_this2.target && (_this2.target === event.target || _this2.target.contains(event.target))) : true;\n          if (isOutsideContainer && isOutsideTarget) {\n            _this2.hide();\n          }\n        };\n        document.addEventListener('click', this.outsideClickListener);\n      }\n    },\n    unbindOutsideClickListener: function unbindOutsideClickListener() {\n      if (this.outsideClickListener) {\n        document.removeEventListener('click', this.outsideClickListener);\n        this.outsideClickListener = null;\n      }\n    },\n    bindResizeListener: function bindResizeListener() {\n      var _this3 = this;\n      if (!this.resizeListener) {\n        this.resizeListener = function () {\n          if (_this3.visible && !isTouchDevice()) {\n            _this3.hide();\n          }\n        };\n        window.addEventListener('resize', this.resizeListener);\n      }\n    },\n    unbindResizeListener: function unbindResizeListener() {\n      if (this.resizeListener) {\n        window.removeEventListener('resize', this.resizeListener);\n        this.resizeListener = null;\n      }\n    },\n    bindDocumentContextMenuListener: function bindDocumentContextMenuListener() {\n      var _this4 = this;\n      if (!this.documentContextMenuListener) {\n        this.documentContextMenuListener = function (event) {\n          event.button === 2 && _this4.show(event);\n        };\n        document.addEventListener('contextmenu', this.documentContextMenuListener);\n      }\n    },\n    unbindDocumentContextMenuListener: function unbindDocumentContextMenuListener() {\n      if (this.documentContextMenuListener) {\n        document.removeEventListener('contextmenu', this.documentContextMenuListener);\n        this.documentContextMenuListener = null;\n      }\n    },\n    isItemMatched: function isItemMatched(processedItem) {\n      var _this$getProccessedIt;\n      return this.isValidItem(processedItem) && ((_this$getProccessedIt = this.getProccessedItemLabel(processedItem)) === null || _this$getProccessedIt === void 0 ? void 0 : _this$getProccessedIt.toLocaleLowerCase().startsWith(this.searchValue.toLocaleLowerCase()));\n    },\n    isValidItem: function isValidItem(processedItem) {\n      return !!processedItem && !this.isItemDisabled(processedItem.item) && !this.isItemSeparator(processedItem.item) && this.isItemVisible(processedItem.item);\n    },\n    isValidSelectedItem: function isValidSelectedItem(processedItem) {\n      return this.isValidItem(processedItem) && this.isSelected(processedItem);\n    },\n    isSelected: function isSelected(processedItem) {\n      return this.activeItemPath.some(function (p) {\n        return p.key === processedItem.key;\n      });\n    },\n    findFirstItemIndex: function findFirstItemIndex() {\n      var _this5 = this;\n      return this.visibleItems.findIndex(function (processedItem) {\n        return _this5.isValidItem(processedItem);\n      });\n    },\n    findLastItemIndex: function findLastItemIndex() {\n      var _this6 = this;\n      return findLastIndex(this.visibleItems, function (processedItem) {\n        return _this6.isValidItem(processedItem);\n      });\n    },\n    findNextItemIndex: function findNextItemIndex(index) {\n      var _this7 = this;\n      var matchedItemIndex = index < this.visibleItems.length - 1 ? this.visibleItems.slice(index + 1).findIndex(function (processedItem) {\n        return _this7.isValidItem(processedItem);\n      }) : -1;\n      return matchedItemIndex > -1 ? matchedItemIndex + index + 1 : index;\n    },\n    findPrevItemIndex: function findPrevItemIndex(index) {\n      var _this8 = this;\n      var matchedItemIndex = index > 0 ? findLastIndex(this.visibleItems.slice(0, index), function (processedItem) {\n        return _this8.isValidItem(processedItem);\n      }) : -1;\n      return matchedItemIndex > -1 ? matchedItemIndex : index;\n    },\n    findSelectedItemIndex: function findSelectedItemIndex() {\n      var _this9 = this;\n      return this.visibleItems.findIndex(function (processedItem) {\n        return _this9.isValidSelectedItem(processedItem);\n      });\n    },\n    findFirstFocusedItemIndex: function findFirstFocusedItemIndex() {\n      var selectedIndex = this.findSelectedItemIndex();\n      return selectedIndex < 0 ? this.findFirstItemIndex() : selectedIndex;\n    },\n    findLastFocusedItemIndex: function findLastFocusedItemIndex() {\n      var selectedIndex = this.findSelectedItemIndex();\n      return selectedIndex < 0 ? this.findLastItemIndex() : selectedIndex;\n    },\n    searchItems: function searchItems(event, _char) {\n      var _this10 = this;\n      this.searchValue = (this.searchValue || '') + _char;\n      var itemIndex = -1;\n      var matched = false;\n      if (this.focusedItemInfo.index !== -1) {\n        itemIndex = this.visibleItems.slice(this.focusedItemInfo.index).findIndex(function (processedItem) {\n          return _this10.isItemMatched(processedItem);\n        });\n        itemIndex = itemIndex === -1 ? this.visibleItems.slice(0, this.focusedItemInfo.index).findIndex(function (processedItem) {\n          return _this10.isItemMatched(processedItem);\n        }) : itemIndex + this.focusedItemInfo.index;\n      } else {\n        itemIndex = this.visibleItems.findIndex(function (processedItem) {\n          return _this10.isItemMatched(processedItem);\n        });\n      }\n      if (itemIndex !== -1) {\n        matched = true;\n      }\n      if (itemIndex === -1 && this.focusedItemInfo.index === -1) {\n        itemIndex = this.findFirstFocusedItemIndex();\n      }\n      if (itemIndex !== -1) {\n        this.changeFocusedItemIndex(event, itemIndex);\n      }\n      if (this.searchTimeout) {\n        clearTimeout(this.searchTimeout);\n      }\n      this.searchTimeout = setTimeout(function () {\n        _this10.searchValue = '';\n        _this10.searchTimeout = null;\n      }, 500);\n      return matched;\n    },\n    changeFocusedItemIndex: function changeFocusedItemIndex(event, index) {\n      if (this.focusedItemInfo.index !== index) {\n        this.focusedItemInfo.index = index;\n        this.scrollInView();\n      }\n    },\n    scrollInView: function scrollInView() {\n      var index = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : -1;\n      var id = index !== -1 ? \"\".concat(this.id, \"_\").concat(index) : this.focusedItemIdx;\n      var element = findSingle(this.list, \"li[id=\\\"\".concat(id, \"\\\"]\"));\n      if (element) {\n        element.scrollIntoView && element.scrollIntoView({\n          block: 'nearest',\n          inline: 'start'\n        });\n      }\n    },\n    createProcessedItems: function createProcessedItems(items) {\n      var _this11 = this;\n      var level = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;\n      var parent = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n      var parentKey = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : '';\n      var processedItems = [];\n      items && items.forEach(function (item, index) {\n        var key = (parentKey !== '' ? parentKey + '_' : '') + index;\n        var newItem = {\n          item: item,\n          index: index,\n          level: level,\n          key: key,\n          parent: parent,\n          parentKey: parentKey\n        };\n        newItem['items'] = _this11.createProcessedItems(item.items, level + 1, newItem, key);\n        processedItems.push(newItem);\n      });\n      return processedItems;\n    },\n    containerRef: function containerRef(el) {\n      this.container = el;\n    },\n    listRef: function listRef(el) {\n      this.list = el ? el.$el : undefined;\n    }\n  },\n  computed: {\n    processedItems: function processedItems() {\n      return this.createProcessedItems(this.model || []);\n    },\n    visibleItems: function visibleItems() {\n      var _this12 = this;\n      var processedItem = this.activeItemPath.find(function (p) {\n        return p.key === _this12.focusedItemInfo.parentKey;\n      });\n      return processedItem ? processedItem.items : this.processedItems;\n    },\n    focusedItemIdx: function focusedItemIdx() {\n      return this.focusedItemInfo.index !== -1 ? \"\".concat(this.id).concat(isNotEmpty(this.focusedItemInfo.parentKey) ? '_' + this.focusedItemInfo.parentKey : '', \"_\").concat(this.focusedItemInfo.index) : null;\n    }\n  },\n  components: {\n    ContextMenuSub: script$1,\n    Portal: Portal\n  }\n};\n\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_ContextMenuSub = resolveComponent(\"ContextMenuSub\");\n  var _component_Portal = resolveComponent(\"Portal\");\n  return openBlock(), createBlock(_component_Portal, {\n    appendTo: _ctx.appendTo\n  }, {\n    \"default\": withCtx(function () {\n      return [createVNode(Transition, mergeProps({\n        name: \"p-contextmenu\",\n        onEnter: $options.onEnter,\n        onAfterEnter: $options.onAfterEnter,\n        onLeave: $options.onLeave,\n        onAfterLeave: $options.onAfterLeave\n      }, _ctx.ptm('transition')), {\n        \"default\": withCtx(function () {\n          return [$data.visible ? (openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 0,\n            ref: $options.containerRef,\n            \"class\": _ctx.cx('root')\n          }, _ctx.ptmi('root')), [createVNode(_component_ContextMenuSub, {\n            ref: $options.listRef,\n            id: $data.id + '_list',\n            \"class\": normalizeClass(_ctx.cx('rootList')),\n            role: \"menubar\",\n            root: true,\n            tabindex: _ctx.tabindex,\n            \"aria-orientation\": \"vertical\",\n            \"aria-activedescendant\": $data.focused ? $options.focusedItemIdx : undefined,\n            menuId: $data.id,\n            focusedItemId: $data.focused ? $options.focusedItemIdx : undefined,\n            items: $options.processedItems,\n            templates: _ctx.$slots,\n            activeItemPath: $data.activeItemPath,\n            \"aria-labelledby\": _ctx.ariaLabelledby,\n            \"aria-label\": _ctx.ariaLabel,\n            level: 0,\n            visible: $data.submenuVisible,\n            pt: _ctx.pt,\n            unstyled: _ctx.unstyled,\n            onFocus: $options.onFocus,\n            onBlur: $options.onBlur,\n            onKeydown: $options.onKeyDown,\n            onItemClick: $options.onItemClick,\n            onItemMouseenter: $options.onItemMouseEnter,\n            onItemMousemove: $options.onItemMouseMove\n          }, null, 8, [\"id\", \"class\", \"tabindex\", \"aria-activedescendant\", \"menuId\", \"focusedItemId\", \"items\", \"templates\", \"activeItemPath\", \"aria-labelledby\", \"aria-label\", \"visible\", \"pt\", \"unstyled\", \"onFocus\", \"onBlur\", \"onKeydown\", \"onItemClick\", \"onItemMouseenter\", \"onItemMousemove\"])], 16)) : createCommentVNode(\"\", true)];\n        }),\n        _: 1\n      }, 16, [\"onEnter\", \"onAfterEnter\", \"onLeave\", \"onAfterLeave\"])];\n    }),\n    _: 1\n  }, 8, [\"appendTo\"]);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<!-- A image with placeholder fallback on error -->\n<template>\n  <span\n    v-if=\"!imageBroken\"\n    class=\"comfy-image-wrap\"\n    :class=\"[{ contain: contain }]\"\n  >\n    <img\n      v-if=\"contain\"\n      :src=\"src\"\n      @error=\"handleImageError\"\n      :data-test=\"src\"\n      class=\"comfy-image-blur\"\n      :style=\"{ 'background-image': `url(${src})` }\"\n    />\n    <img\n      :src=\"src\"\n      @error=\"handleImageError\"\n      class=\"comfy-image-main\"\n      :class=\"[...classArray]\"\n    />\n  </span>\n  <div v-if=\"imageBroken\" class=\"broken-image-placeholder\">\n    <i class=\"pi pi-image\"></i>\n    <span>{{ $t('imageFailedToLoad') }}</span>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { computed, ref } from 'vue'\n\nconst props = withDefaults(\n  defineProps<{\n    src: string\n    class?: string | string[] | object\n    contain: boolean\n  }>(),\n  {\n    contain: false\n  }\n)\n\nconst imageBroken = ref(false)\nconst handleImageError = (e: Event) => {\n  imageBroken.value = true\n}\n\nconst classArray = computed(() => {\n  if (Array.isArray(props.class)) {\n    return props.class\n  } else if (typeof props.class === 'string') {\n    return props.class.split(' ')\n  } else if (typeof props.class === 'object') {\n    return Object.keys(props.class).filter((key) => props.class[key])\n  }\n  return []\n})\n</script>\n\n<style scoped>\n.comfy-image-wrap {\n  display: contents;\n}\n\n.comfy-image-blur {\n  position: absolute;\n  top: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n  object-fit: cover;\n}\n\n.comfy-image-main {\n  width: 100%;\n  height: 100%;\n  object-fit: cover;\n  object-position: center;\n  z-index: 1;\n}\n\n.contain .comfy-image-wrap {\n  position: relative;\n  width: 100%;\n  height: 100%;\n}\n\n.contain .comfy-image-main {\n  object-fit: contain;\n  backdrop-filter: blur(10px);\n  position: absolute;\n}\n\n.broken-image-placeholder {\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  justify-content: center;\n  width: 100%;\n  height: 100%;\n  margin: 2rem;\n}\n\n.broken-image-placeholder i {\n  font-size: 3rem;\n  margin-bottom: 0.5rem;\n}\n</style>\n","<template>\n  <div class=\"result-container\" ref=\"resultContainer\">\n    <template\n      v-if=\"result.mediaType === 'images' || result.mediaType === 'gifs'\"\n    >\n      <ComfyImage\n        :src=\"result.url\"\n        class=\"task-output-image\"\n        :contain=\"imageFit === 'contain'\"\n      />\n      <div class=\"image-preview-mask\">\n        <Button\n          icon=\"pi pi-eye\"\n          severity=\"secondary\"\n          @click=\"emit('preview', result)\"\n          rounded\n        />\n      </div>\n    </template>\n    <!-- TODO: handle more media types -->\n    <div v-else class=\"task-result-preview\">\n      <i class=\"pi pi-file\"></i>\n      <span>{{ result.mediaType }}</span>\n    </div>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { ResultItemImpl } from '@/stores/queueStore'\nimport ComfyImage from '@/components/common/ComfyImage.vue'\nimport Button from 'primevue/button'\nimport { computed, onMounted, ref } from 'vue'\nimport { useSettingStore } from '@/stores/settingStore'\n\nconst props = defineProps<{\n  result: ResultItemImpl\n}>()\n\nconst emit = defineEmits<{\n  (e: 'preview', result: ResultItemImpl): void\n}>()\n\nconst resultContainer = ref<HTMLElement | null>(null)\nconst settingStore = useSettingStore()\nconst imageFit = computed<string>(() =>\n  settingStore.get('Comfy.Queue.ImageFit')\n)\n\nonMounted(() => {\n  if (props.result.mediaType === 'images') {\n    resultContainer.value?.querySelectorAll('img').forEach((img) => {\n      img.draggable = true\n    })\n  }\n})\n</script>\n\n<style scoped>\n.result-container {\n  width: 100%;\n  height: 100%;\n  aspect-ratio: 1 / 1;\n  overflow: hidden;\n  position: relative;\n  display: flex;\n  justify-content: center;\n  align-items: center;\n}\n\n.image-preview-mask {\n  position: absolute;\n  left: 50%;\n  top: 50%;\n  transform: translate(-50%, -50%);\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  opacity: 0;\n  transition: opacity 0.3s ease;\n  z-index: 1;\n}\n\n.result-container:hover .image-preview-mask {\n  opacity: 1;\n}\n</style>\n","import { api } from '@/scripts/api'\nimport { app } from '@/scripts/app'\nimport type {\n  TaskItem,\n  TaskType,\n  TaskPrompt,\n  TaskStatus,\n  StatusWsMessageStatus,\n  TaskOutput,\n  ResultItem\n} from '@/types/apiTypes'\nimport type { ComfyNode, NodeId } from '@/types/comfyWorkflow'\nimport { plainToClass } from 'class-transformer'\nimport _ from 'lodash'\nimport { defineStore } from 'pinia'\nimport { toRaw } from 'vue'\n\n// Task type used in the API.\nexport type APITaskType = 'queue' | 'history'\n\nexport enum TaskItemDisplayStatus {\n  Running = 'Running',\n  Pending = 'Pending',\n  Completed = 'Completed',\n  Failed = 'Failed',\n  Cancelled = 'Cancelled'\n}\n\nexport class ResultItemImpl {\n  filename: string\n  subfolder?: string\n  type: string\n\n  nodeId: NodeId\n  // 'audio' | 'images' | ...\n  mediaType: string\n\n  get url(): string {\n    return api.apiURL(`/view?filename=${encodeURIComponent(this.filename)}&type=${this.type}&\n\t\t\t\t\tsubfolder=${encodeURIComponent(this.subfolder || '')}`)\n  }\n\n  get urlWithTimestamp(): string {\n    return `${this.url}&t=${+new Date()}`\n  }\n\n  get supportsPreview(): boolean {\n    return ['images', 'gifs'].includes(this.mediaType)\n  }\n}\n\nexport class TaskItemImpl {\n  readonly taskType: TaskType\n  readonly prompt: TaskPrompt\n  readonly status?: TaskStatus\n  readonly outputs: TaskOutput\n  readonly flatOutputs: ReadonlyArray<ResultItemImpl>\n\n  constructor(\n    taskType: TaskType,\n    prompt: TaskPrompt,\n    status: TaskStatus | undefined,\n    outputs: TaskOutput,\n    flatOutputs?: ReadonlyArray<ResultItemImpl>\n  ) {\n    this.taskType = taskType\n    this.prompt = prompt\n    this.status = status\n    this.outputs = outputs\n    this.flatOutputs = flatOutputs ?? this.calculateFlatOutputs()\n  }\n\n  calculateFlatOutputs(): ReadonlyArray<ResultItemImpl> {\n    if (!this.outputs) {\n      return []\n    }\n    return Object.entries(this.outputs).flatMap(([nodeId, nodeOutputs]) =>\n      Object.entries(nodeOutputs).flatMap(([mediaType, items]) =>\n        (items as ResultItem[]).map((item: ResultItem) =>\n          plainToClass(ResultItemImpl, {\n            ...item,\n            nodeId,\n            mediaType\n          })\n        )\n      )\n    )\n  }\n\n  get previewOutput(): ResultItemImpl | undefined {\n    return (\n      this.flatOutputs.find(\n        // Prefer saved media files over the temp previews\n        (output) => output.type === 'output' && output.supportsPreview\n      ) ?? this.flatOutputs.find((output) => output.supportsPreview)\n    )\n  }\n\n  get apiTaskType(): APITaskType {\n    switch (this.taskType) {\n      case 'Running':\n      case 'Pending':\n        return 'queue'\n      case 'History':\n        return 'history'\n    }\n  }\n\n  get key() {\n    return this.promptId + this.displayStatus\n  }\n\n  get queueIndex() {\n    return this.prompt[0]\n  }\n\n  get promptId() {\n    return this.prompt[1]\n  }\n\n  get promptInputs() {\n    return this.prompt[2]\n  }\n\n  get extraData() {\n    return this.prompt[3]\n  }\n\n  get outputsToExecute() {\n    return this.prompt[4]\n  }\n\n  get extraPngInfo() {\n    return this.extraData.extra_pnginfo\n  }\n\n  get clientId() {\n    return this.extraData.client_id\n  }\n\n  get workflow() {\n    return this.extraPngInfo.workflow\n  }\n\n  get messages() {\n    return this.status?.messages || []\n  }\n\n  get interrupted() {\n    return _.some(\n      this.messages,\n      (message) => message[0] === 'execution_interrupted'\n    )\n  }\n\n  get isHistory() {\n    return this.taskType === 'History'\n  }\n\n  get isRunning() {\n    return this.taskType === 'Running'\n  }\n\n  get displayStatus(): TaskItemDisplayStatus {\n    switch (this.taskType) {\n      case 'Running':\n        return TaskItemDisplayStatus.Running\n      case 'Pending':\n        return TaskItemDisplayStatus.Pending\n      case 'History':\n        if (this.interrupted) return TaskItemDisplayStatus.Cancelled\n\n        switch (this.status!.status_str) {\n          case 'success':\n            return TaskItemDisplayStatus.Completed\n          case 'error':\n            return TaskItemDisplayStatus.Failed\n        }\n    }\n  }\n\n  get executionStartTimestamp() {\n    const message = this.messages.find(\n      (message) => message[0] === 'execution_start'\n    )\n    return message ? message[1].timestamp : undefined\n  }\n\n  get executionEndTimestamp() {\n    const messages = this.messages.filter((message) =>\n      [\n        'execution_success',\n        'execution_interrupted',\n        'execution_error'\n      ].includes(message[0])\n    )\n    if (!messages.length) {\n      return undefined\n    }\n    return _.max(messages.map((message) => message[1].timestamp))\n  }\n\n  get executionTime() {\n    if (!this.executionStartTimestamp || !this.executionEndTimestamp) {\n      return undefined\n    }\n    return this.executionEndTimestamp - this.executionStartTimestamp\n  }\n\n  get executionTimeInSeconds() {\n    return this.executionTime !== undefined\n      ? this.executionTime / 1000\n      : undefined\n  }\n\n  public async loadWorkflow() {\n    await app.loadGraphData(toRaw(this.workflow))\n    if (this.outputs) {\n      app.nodeOutputs = toRaw(this.outputs)\n    }\n  }\n\n  public flatten(): TaskItemImpl[] {\n    if (this.displayStatus !== TaskItemDisplayStatus.Completed) {\n      return [this]\n    }\n\n    return this.flatOutputs.map(\n      (output: ResultItemImpl, i: number) =>\n        new TaskItemImpl(\n          this.taskType,\n          [\n            this.queueIndex,\n            `${this.promptId}-${i}`,\n            this.promptInputs,\n            this.extraData,\n            this.outputsToExecute\n          ],\n          this.status,\n          {\n            [output.nodeId]: {\n              [output.mediaType]: [output]\n            }\n          },\n          [output]\n        )\n    )\n  }\n}\n\ninterface State {\n  runningTasks: TaskItemImpl[]\n  pendingTasks: TaskItemImpl[]\n  historyTasks: TaskItemImpl[]\n  maxHistoryItems: number\n  isLoading: boolean\n}\n\nexport const useQueueStore = defineStore('queue', {\n  state: (): State => ({\n    runningTasks: [],\n    pendingTasks: [],\n    historyTasks: [],\n    maxHistoryItems: 64,\n    isLoading: false\n  }),\n  getters: {\n    tasks(state) {\n      return [\n        ...state.pendingTasks,\n        ...state.runningTasks,\n        ...state.historyTasks\n      ]\n    },\n    flatTasks(): TaskItemImpl[] {\n      return this.tasks.flatMap((task: TaskItemImpl) => task.flatten())\n    },\n    lastHistoryQueueIndex(state) {\n      return state.historyTasks.length ? state.historyTasks[0].queueIndex : -1\n    }\n  },\n  actions: {\n    // Fetch the queue data from the API\n    async update() {\n      this.isLoading = true\n      try {\n        const [queue, history] = await Promise.all([\n          api.getQueue(),\n          api.getHistory(this.maxHistoryItems)\n        ])\n\n        const toClassAll = (tasks: TaskItem[]): TaskItemImpl[] =>\n          tasks\n            .map(\n              (task: TaskItem) =>\n                new TaskItemImpl(\n                  task.taskType,\n                  task.prompt,\n                  task['status'],\n                  task['outputs'] || {}\n                )\n            )\n            // Desc order to show the latest tasks first\n            .sort((a, b) => b.queueIndex - a.queueIndex)\n\n        this.runningTasks = toClassAll(queue.Running)\n        this.pendingTasks = toClassAll(queue.Pending)\n\n        // Process history items\n        const allIndex = new Set(\n          history.History.map((item: TaskItem) => item.prompt[0])\n        )\n        const newHistoryItems = toClassAll(\n          history.History.filter(\n            (item) => item.prompt[0] > this.lastHistoryQueueIndex\n          )\n        )\n        const existingHistoryItems = this.historyTasks.filter(\n          (item: TaskItemImpl) => allIndex.has(item.queueIndex)\n        )\n        this.historyTasks = [...newHistoryItems, ...existingHistoryItems]\n          .slice(0, this.maxHistoryItems)\n          .sort((a, b) => b.queueIndex - a.queueIndex)\n      } finally {\n        this.isLoading = false\n      }\n    },\n    async clear() {\n      await Promise.all(\n        ['queue', 'history'].map((type) => api.clearItems(type))\n      )\n      await this.update()\n    },\n    async delete(task: TaskItemImpl) {\n      await api.deleteItem(task.apiTaskType, task.promptId)\n      await this.update()\n    }\n  }\n})\n\nexport const useQueuePendingTaskCountStore = defineStore(\n  'queuePendingTaskCount',\n  {\n    state: () => ({\n      count: 0\n    }),\n    actions: {\n      update(e: CustomEvent<StatusWsMessageStatus>) {\n        this.count = e.detail?.exec_info?.queue_remaining || 0\n      }\n    }\n  }\n)\n","<template>\n  <div class=\"task-item\" @contextmenu=\"handleContextMenu\">\n    <div class=\"task-result-preview\">\n      <template v-if=\"task.displayStatus === TaskItemDisplayStatus.Completed\">\n        <ResultItem\n          v-if=\"flatOutputs.length\"\n          :result=\"coverResult\"\n          @preview=\"handlePreview\"\n        />\n      </template>\n      <i\n        v-else-if=\"task.displayStatus === TaskItemDisplayStatus.Running\"\n        class=\"pi pi-spin pi-spinner\"\n      ></i>\n      <span v-else-if=\"task.displayStatus === TaskItemDisplayStatus.Pending\"\n        >...</span\n      >\n      <i\n        v-else-if=\"task.displayStatus === TaskItemDisplayStatus.Cancelled\"\n        class=\"pi pi-exclamation-triangle\"\n      ></i>\n      <i\n        v-else-if=\"task.displayStatus === TaskItemDisplayStatus.Failed\"\n        class=\"pi pi-exclamation-circle\"\n      ></i>\n    </div>\n\n    <div class=\"task-item-details\">\n      <div class=\"tag-wrapper status-tag-group\">\n        <Tag v-if=\"isFlatTask && task.isHistory\" class=\"node-name-tag\">\n          <Button\n            class=\"task-node-link\"\n            :label=\"`${node?.type} (#${node?.id})`\"\n            link\n            size=\"small\"\n            @click=\"app.goToNode(node?.id)\"\n          />\n        </Tag>\n        <Tag :severity=\"taskTagSeverity(task.displayStatus)\">\n          <span v-html=\"taskStatusText(task.displayStatus)\"></span>\n          <span v-if=\"task.isHistory\" class=\"task-time\">\n            {{ formatTime(task.executionTimeInSeconds) }}\n          </span>\n          <span v-if=\"isFlatTask\" class=\"task-prompt-id\">\n            {{ task.promptId.split('-')[0] }}\n          </span>\n        </Tag>\n      </div>\n      <div class=\"tag-wrapper\">\n        <Button\n          v-if=\"task.isHistory && flatOutputs.length > 1\"\n          outlined\n          @click=\"handleOutputLengthClick\"\n        >\n          <span style=\"font-weight: bold\">{{ flatOutputs.length }}</span>\n        </Button>\n      </div>\n    </div>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport Button from 'primevue/button'\nimport Tag from 'primevue/tag'\nimport ResultItem from './ResultItem.vue'\nimport { TaskItemDisplayStatus, type TaskItemImpl } from '@/stores/queueStore'\nimport { ComfyNode } from '@/types/comfyWorkflow'\nimport { app } from '@/scripts/app'\n\nconst props = defineProps<{\n  task: TaskItemImpl\n  isFlatTask: boolean\n}>()\n\nconst flatOutputs = props.task.flatOutputs\nconst coverResult = flatOutputs.length\n  ? props.task.previewOutput || flatOutputs[0]\n  : null\n// Using `==` instead of `===` because NodeId can be a string or a number\nconst node: ComfyNode | null = flatOutputs.length\n  ? props.task.workflow.nodes.find(\n      (n: ComfyNode) => n.id == coverResult.nodeId\n    ) ?? null\n  : null\n\nconst emit = defineEmits<{\n  (\n    e: 'contextmenu',\n    value: { task: TaskItemImpl; event: MouseEvent; node?: ComfyNode }\n  ): void\n  (e: 'preview', value: TaskItemImpl): void\n  (e: 'task-output-length-clicked', value: TaskItemImpl): void\n}>()\n\nconst handleContextMenu = (e: MouseEvent) => {\n  emit('contextmenu', { task: props.task, event: e, node })\n}\n\nconst handlePreview = () => {\n  emit('preview', props.task)\n}\n\nconst handleOutputLengthClick = () => {\n  emit('task-output-length-clicked', props.task)\n}\n\nconst taskTagSeverity = (status: TaskItemDisplayStatus) => {\n  switch (status) {\n    case TaskItemDisplayStatus.Pending:\n      return 'secondary'\n    case TaskItemDisplayStatus.Running:\n      return 'info'\n    case TaskItemDisplayStatus.Completed:\n      return 'success'\n    case TaskItemDisplayStatus.Failed:\n      return 'danger'\n    case TaskItemDisplayStatus.Cancelled:\n      return 'warn'\n  }\n}\n\nconst taskStatusText = (status: TaskItemDisplayStatus) => {\n  switch (status) {\n    case TaskItemDisplayStatus.Pending:\n      return 'Pending'\n    case TaskItemDisplayStatus.Running:\n      return 'Running'\n    case TaskItemDisplayStatus.Completed:\n      return '<i class=\"pi pi-check\" style=\"font-weight: bold\"></i>'\n    case TaskItemDisplayStatus.Failed:\n      return 'Failed'\n    case TaskItemDisplayStatus.Cancelled:\n      return 'Cancelled'\n  }\n}\n\nconst formatTime = (time?: number) => {\n  if (time === undefined) {\n    return ''\n  }\n  return `${time.toFixed(2)}s`\n}\n</script>\n\n<style scoped>\n.task-result-preview {\n  aspect-ratio: 1 / 1;\n  overflow: hidden;\n  display: flex;\n  justify-content: center;\n  align-items: center;\n  width: 100%;\n  height: 100%;\n}\n\n.task-result-preview i,\n.task-result-preview span {\n  font-size: 2rem;\n}\n\n.task-item {\n  display: flex;\n  flex-direction: column;\n  border-radius: 4px;\n  overflow: hidden;\n  position: relative;\n}\n\n.task-item-details {\n  position: absolute;\n  bottom: 0;\n  padding: 0.6rem;\n  display: flex;\n  justify-content: space-between;\n  align-items: center;\n  width: 100%;\n  z-index: 1;\n}\n\n.task-node-link {\n  padding: 2px;\n}\n\n/* In dark mode, transparent background color for tags is not ideal for tags that\nare floating on top of images. */\n.tag-wrapper {\n  background-color: var(--p-primary-contrast-color);\n  border-radius: 6px;\n  display: inline-flex;\n}\n\n.node-name-tag {\n  word-break: break-all;\n}\n\n.status-tag-group {\n  display: flex;\n  flex-direction: column;\n}\n</style>\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-galleria {\\n    overflow: hidden;\\n    border-style: solid;\\n    border-width: \".concat(dt('galleria.border.width'), \";\\n    border-color: \").concat(dt('galleria.border.color'), \";\\n    border-radius: \").concat(dt('galleria.border.radius'), \";\\n}\\n\\n.p-galleria-content {\\n    display: flex;\\n    flex-direction: column;\\n}\\n\\n.p-galleria-items-container {\\n    display: flex;\\n    flex-direction: column;\\n    position: relative;\\n}\\n\\n.p-galleria-items {\\n    position: relative;\\n    display: flex;\\n    height: 100%;\\n}\\n\\n.p-galleria-nav-button {\\n    position: absolute;\\n    top: 50%;\\n    display: inline-flex;\\n    justify-content: center;\\n    align-items: center;\\n    overflow: hidden;\\n    background: \").concat(dt('galleria.nav.button.background'), \";\\n    color: \").concat(dt('galleria.nav.button.color'), \";\\n    width: \").concat(dt('galleria.nav.button.size'), \";\\n    height: \").concat(dt('galleria.nav.button.size'), \";\\n    transition: background \").concat(dt('galleria.transition.duration'), \", color \").concat(dt('galleria.transition.duration'), \", outline-color \").concat(dt('galleria.transition.duration'), \", box-shadow \").concat(dt('galleria.transition.duration'), \";\\n    margin: calc(-1 * calc(\").concat(dt('galleria.nav.button.size'), \") / 2) \").concat(dt('galleria.nav.button.gutter'), \" 0 \").concat(dt('galleria.nav.button.gutter'), \";\\n    padding: 0;\\n    user-select: none;\\n    border: 0 none;\\n    cursor: pointer;\\n    outline-color: transparent;\\n}\\n\\n.p-galleria-nav-button:not(.p-disabled):hover {\\n    background: \").concat(dt('galleria.nav.button.hover.background'), \";\\n    color: \").concat(dt('galleria.nav.button.hover.color'), \";\\n}\\n\\n.p-galleria-nav-button:not(.p-disabled):focus-visible {\\n    box-shadow: \").concat(dt('galleria.nav.button.focus.ring.shadow'), \";\\n    outline: \").concat(dt('galleria.nav.button.focus.ring.width'), \" \").concat(dt('galleria.nav.button.focus.ring.style'), \" \").concat(dt('galleria.nav.button.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('galleria.nav.button.focus.ring.offset'), \";\\n}\\n\\n.p-galleria-next-icon,\\n.p-galleria-prev-icon {\\n    font-size: \").concat(dt('galleria.nav.icon.size'), \";\\n    width: \").concat(dt('galleria.nav.icon.size'), \";\\n    height: \").concat(dt('galleria.nav.icon.size'), \";\\n}\\n\\n.p-galleria-prev-button {\\n    border-radius: \").concat(dt('galleria.nav.button.prev.border.radius'), \";\\n    left: 0;\\n}\\n\\n.p-galleria-next-button {\\n    border-radius: \").concat(dt('galleria.nav.button.next.border.radius'), \";\\n    right: 0;\\n}\\n\\n.p-galleria-item {\\n    display: flex;\\n    justify-content: center;\\n    align-items: center;\\n    height: 100%;\\n    width: 100%;\\n}\\n\\n.p-galleria-hover-navigators .p-galleria-nav-button {\\n    pointer-events: none;\\n    opacity: 0;\\n    transition: opacity \").concat(dt('galleria.transition.duration'), \" ease-in-out;\\n}\\n\\n.p-galleria-hover-navigators .p-galleria-items-container:hover .p-galleria-nav-button {\\n    pointer-events: all;\\n    opacity: 1;\\n}\\n\\n.p-galleria-hover-navigators .p-galleria-items-container:hover .p-galleria-nav-button.p-disabled {\\n    pointer-events: none;\\n}\\n\\n.p-galleria-caption {\\n    position: absolute;\\n    bottom: 0;\\n    left: 0;\\n    width: 100%;\\n    background: \").concat(dt('galleria.caption.background'), \";\\n    color: \").concat(dt('galleria.caption.color'), \";\\n    padding: \").concat(dt('galleria.caption.padding'), \";\\n}\\n\\n.p-galleria-thumbnails {\\n    display: flex;\\n    flex-direction: column;\\n    overflow: auto;\\n    flex-shrink: 0;\\n}\\n\\n.p-galleria-thumbnail-nav-button {\\n    align-self: center;\\n    flex: 0 0 auto;\\n    display: flex;\\n    justify-content: center;\\n    align-items: center;\\n    overflow: hidden;\\n    position: relative;\\n    margin: 0 \").concat(dt('galleria.thumbnail.nav.button.gutter'), \";\\n    padding: 0;\\n    border: none;\\n    user-select: none;\\n    cursor: pointer;\\n    background: transparent;\\n    color: \").concat(dt('galleria.thumbnail.nav.button.color'), \";\\n    width: \").concat(dt('galleria.thumbnail.nav.button.size'), \";\\n    height: \").concat(dt('galleria.thumbnail.nav.button.size'), \";\\n    transition: background \").concat(dt('galleria.transition.duration'), \", color \").concat(dt('galleria.transition.duration'), \", outline-color \").concat(dt('galleria.transition.duration'), \";\\n    outline-color: transparent;\\n    border-radius: \").concat(dt('galleria.thumbnail.nav.button.border.radius'), \";\\n}\\n\\n.p-galleria-thumbnail-nav-button:hover {\\n    background: \").concat(dt('galleria.thumbnail.nav.button.hover.background'), \";\\n    color: \").concat(dt('galleria.thumbnail.nav.button.hover.color'), \";\\n}\\n\\n.p-galleria-thumbnail-nav-button:focus-visible {\\n    box-shadow: \").concat(dt('galleria.thumbnail.nav.button.focus.ring.shadow'), \";\\n    outline: \").concat(dt('galleria.thumbnail.nav.button.focus.ring.width'), \" \").concat(dt('galleria.thumbnail.nav.button.focus.ring.style'), \" \").concat(dt('galleria.thumbnail.nav.button.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('galleria.thumbnail.nav.button.focus.ring.offset'), \";\\n}\\n\\n.p-galleria-thumbnail-nav-button .p-galleria-thumbnail-next-icon,\\n.p-galleria-thumbnail-nav-button .p-galleria-thumbnail-prev-icon {\\n    font-size: \").concat(dt('galleria.thumbnail.nav.button.icon.size'), \";\\n    width: \").concat(dt('galleria.thumbnail.nav.button.icon.size'), \";\\n    height: \").concat(dt('galleria.thumbnail.nav.button.icon.size'), \";\\n}\\n\\n.p-galleria-thumbnails-content {\\n    display: flex;\\n    flex-direction: row;\\n    background: \").concat(dt('galleria.thumbnails.content.background'), \";\\n    padding: \").concat(dt('galleria.thumbnails.content.padding'), \";\\n}\\n\\n.p-galleria-thumbnails-viewport {\\n    overflow: hidden;\\n    width: 100%;\\n}\\n\\n.p-galleria-thumbnail-items {\\n    display: flex;\\n}\\n\\n.p-galleria-thumbnail-item {\\n    overflow: auto;\\n    display: flex;\\n    align-items: center;\\n    justify-content: center;\\n    cursor: pointer;\\n    opacity: 0.5;\\n}\\n\\n.p-galleria-thumbnail {\\n    outline-color: transparent;\\n}\\n\\n.p-galleria-thumbnail-item:hover {\\n    opacity: 1;\\n    transition: opacity 0.3s;\\n}\\n\\n.p-galleria-thumbnail-item-current {\\n    opacity: 1;\\n}\\n\\n.p-galleria-thumbnails-left .p-galleria-content,\\n.p-galleria-thumbnails-right .p-galleria-content {\\n    flex-direction: row;\\n}\\n\\n.p-galleria-thumbnails-left .p-galleria-items-container,\\n.p-galleria-thumbnails-right .p-galleria-items-container {\\n    flex-direction: row;\\n}\\n\\n.p-galleria-thumbnails-left .p-galleria-items-container,\\n.p-galleria-thumbnails-top .p-galleria-items-container {\\n    order: 2;\\n}\\n\\n.p-galleria-thumbnails-left .p-galleria-thumbnails,\\n.p-galleria-thumbnails-top .p-galleria-thumbnails {\\n    order: 1;\\n}\\n\\n.p-galleria-thumbnails-left .p-galleria-thumbnails-content,\\n.p-galleria-thumbnails-right .p-galleria-thumbnails-content {\\n    flex-direction: column;\\n    flex-grow: 1;\\n}\\n\\n.p-galleria-thumbnails-left .p-galleria-thumbnail-items,\\n.p-galleria-thumbnails-right .p-galleria-thumbnail-items {\\n    flex-direction: column;\\n    height: 100%;\\n}\\n\\n.p-galleria-indicator-list {\\n    display: flex;\\n    align-items: center;\\n    justify-content: center;\\n    padding: \").concat(dt('galleria.indicator.list.padding'), \";\\n    gap: \").concat(dt('galleria.indicator.list.gap'), \";\\n    margin: 0;\\n    list-style: none;\\n}\\n\\n.p-galleria-indicator-button {\\n    display: inline-flex;\\n    align-items: center;\\n    background: \").concat(dt('galleria.indicator.button.background'), \";\\n    width: \").concat(dt('galleria.indicator.button.width'), \";\\n    height: \").concat(dt('galleria.indicator.button.height'), \";\\n    transition: background \").concat(dt('galleria.transition.duration'), \", color \").concat(dt('galleria.transition.duration'), \", outline-color \").concat(dt('galleria.transition.duration'), \", box-shadow \").concat(dt('galleria.transition.duration'), \";\\n    outline-color: transparent;\\n    border-radius: \").concat(dt('galleria.indicator.button.border.radius'), \";\\n    margin: 0;\\n    padding: 0;\\n    border: none;\\n    user-select: none;\\n    cursor: pointer;\\n}\\n\\n.p-galleria-indicator-button:hover {\\n    background: \").concat(dt('galleria.indicator.button.hover.background'), \";\\n}\\n\\n.p-galleria-indicator-button:focus-visible {\\n    box-shadow: \").concat(dt('galleria.indicator.button.focus.ring.shadow'), \";\\n    outline: \").concat(dt('galleria.indicator.button.focus.ring.width'), \" \").concat(dt('galleria.indicator.button.focus.ring.style'), \" \").concat(dt('galleria.indicator.button.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('galleria.indicator.button.focus.ring.offset'), \";\\n}\\n\\n.p-galleria-indicator-active .p-galleria-indicator-button {\\n    background: \").concat(dt('galleria.indicator.button.active.background'), \";\\n}\\n\\n.p-galleria-indicators-left .p-galleria-items-container,\\n.p-galleria-indicators-right .p-galleria-items-container {\\n    flex-direction: row;\\n    align-items: center;\\n}\\n\\n.p-galleria-indicators-left .p-galleria-items,\\n.p-galleria-indicators-top .p-galleria-items {\\n    order: 2;\\n}\\n\\n.p-galleria-indicators-left .p-galleria-indicator-list,\\n.p-galleria-indicators-top .p-galleria-indicator-list {\\n    order: 1;\\n}\\n\\n.p-galleria-indicators-left .p-galleria-indicator-list,\\n.p-galleria-indicators-right .p-galleria-indicator-list {\\n    flex-direction: column;\\n}\\n\\n.p-galleria-inset-indicators .p-galleria-indicator-list {\\n    position: absolute;\\n    display: flex;\\n    z-index: 1;\\n    background: \").concat(dt('galleria.inset.indicator.list.background'), \";\\n}\\n\\n.p-galleria-inset-indicators .p-galleria-indicator-button {\\n    background: \").concat(dt('galleria.inset.indicator.button.background'), \";\\n}\\n\\n.p-galleria-inset-indicators .p-galleria-indicator-button:hover {\\n    background: \").concat(dt('galleria.inset.indicator.button.hover.background'), \";\\n}\\n\\n.p-galleria-inset-indicators .p-galleria-indicator-active .p-galleria-indicator-button {\\n    background: \").concat(dt('galleria.inset.indicator.button.active.background'), \";\\n}\\n\\n.p-galleria-inset-indicators.p-galleria-indicators-top .p-galleria-indicator-list {\\n    top: 0;\\n    left: 0;\\n    width: 100%;\\n    align-items: flex-start;\\n}\\n\\n.p-galleria-inset-indicators.p-galleria-indicators-right .p-galleria-indicator-list {\\n    right: 0;\\n    top: 0;\\n    height: 100%;\\n    align-items: flex-end;\\n}\\n\\n.p-galleria-inset-indicators.p-galleria-indicators-bottom .p-galleria-indicator-list {\\n    bottom: 0;\\n    left: 0;\\n    width: 100%;\\n    align-items: flex-end;\\n}\\n\\n.p-galleria-inset-indicators.p-galleria-indicators-left .p-galleria-indicator-list {\\n    left: 0;\\n    top: 0;\\n    height: 100%;\\n    align-items: flex-start;\\n}\\n\\n.p-galleria-mask {\\n    position: fixed;\\n    top: 0;\\n    left: 0;\\n    width: 100%;\\n    height: 100%;\\n    display: flex;\\n    align-items: center;\\n    justify-content: center;\\n}\\n\\n.p-galleria-close-button {\\n    position: absolute;\\n    top: 0;\\n    right: 0;\\n    display: flex;\\n    justify-content: center;\\n    align-items: center;\\n    overflow: hidden;\\n    margin: \").concat(dt('galleria.close.button.gutter'), \";\\n    background: \").concat(dt('galleria.close.button.background'), \";\\n    color: \").concat(dt('galleria.close.button.color'), \";\\n    width: \").concat(dt('galleria.close.button.size'), \";\\n    height: \").concat(dt('galleria.close.button.size'), \";\\n    padding: 0;\\n    border: none;\\n    user-select: none;\\n    cursor: pointer;\\n    border-radius: \").concat(dt('galleria.close.button.border.radius'), \";\\n    outline-color: transparent;\\n    transition: background \").concat(dt('galleria.transition.duration'), \", color \").concat(dt('galleria.transition.duration'), \", outline-color \").concat(dt('galleria.transition.duration'), \";\\n}\\n\\n.p-galleria-close-icon {\\n    font-size: \").concat(dt('galleria.close.button.icon.size'), \";\\n    width: \").concat(dt('galleria.close.button.icon.size'), \";\\n    height: \").concat(dt('galleria.close.button.icon.size'), \";\\n}\\n\\n.p-galleria-close-button:hover {\\n    background: \").concat(dt('galleria.close.button.hover.background'), \";\\n    color: \").concat(dt('galleria.close.button.hover.color'), \";\\n}\\n\\n.p-galleria-close-button:focus-visible {\\n    box-shadow: \").concat(dt('galleria.close.button.focus.ring.shadow'), \";\\n    outline: \").concat(dt('galleria.close.button.focus.ring.width'), \" \").concat(dt('galleria.close.button.focus.ring.style'), \" \").concat(dt('galleria.close.button.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('galleria.close.button.focus.ring.offset'), \";\\n}\\n\\n.p-galleria-mask .p-galleria-nav-button {\\n    position: fixed;\\n    top: 50%;\\n}\\n\\n.p-galleria-enter-active {\\n    transition: all 150ms cubic-bezier(0, 0, 0.2, 1);\\n}\\n\\n.p-galleria-leave-active {\\n    transition: all 150ms cubic-bezier(0.4, 0, 0.2, 1);\\n}\\n\\n.p-galleria-enter-from,\\n.p-galleria-leave-to {\\n    opacity: 0;\\n    transform: scale(0.7);\\n}\\n\\n.p-galleria-enter-active .p-galleria-nav-button {\\n    opacity: 0;\\n}\\n\\n.p-items-hidden .p-galleria-thumbnail-item {\\n    visibility: hidden;\\n}\\n\\n.p-items-hidden .p-galleria-thumbnail-item.p-galleria-thumbnail-item-active {\\n    visibility: visible;\\n}\\n\");\n};\nvar classes = {\n  mask: 'p-galleria-mask p-overlay-mask p-overlay-mask-enter',\n  root: function root(_ref2) {\n    var instance = _ref2.instance;\n    var thumbnailsPosClass = instance.$attrs.showThumbnails && instance.getPositionClass('p-galleria-thumbnails', instance.$attrs.thumbnailsPosition);\n    var indicatorPosClass = instance.$attrs.showIndicators && instance.getPositionClass('p-galleria-indicators', instance.$attrs.indicatorsPosition);\n    return ['p-galleria p-component', {\n      'p-galleria-fullscreen': instance.$attrs.fullScreen,\n      'p-galleria-inset-indicators': instance.$attrs.showIndicatorsOnItem,\n      'p-galleria-hover-navigators': instance.$attrs.showItemNavigatorsOnHover && !instance.$attrs.fullScreen\n    }, thumbnailsPosClass, indicatorPosClass];\n  },\n  closeButton: 'p-galleria-close-button',\n  closeIcon: 'p-galleria-close-icon',\n  header: 'p-galleria-header',\n  content: 'p-galleria-content',\n  footer: 'p-galleria-footer',\n  itemsContainer: 'p-galleria-items-container',\n  items: 'p-galleria-items',\n  previousItemButton: function previousItemButton(_ref3) {\n    var instance = _ref3.instance;\n    return ['p-galleria-prev-button p-galleria-nav-button', {\n      'p-disabled': instance.isNavBackwardDisabled()\n    }];\n  },\n  previousItemIcon: 'p-galleria-prev-icon',\n  item: 'p-galleria-item',\n  nextItemButton: function nextItemButton(_ref4) {\n    var instance = _ref4.instance;\n    return ['p-galleria-next-button p-galleria-nav-button', {\n      'p-disabled': instance.isNavForwardDisabled()\n    }];\n  },\n  nextItemIcon: 'p-galleria-next-icon',\n  caption: 'p-galleria-caption',\n  indicatorList: 'p-galleria-indicator-list',\n  indicator: function indicator(_ref5) {\n    var instance = _ref5.instance,\n      index = _ref5.index;\n    return ['p-galleria-indicator', {\n      'p-galleria-indicator-active': instance.isIndicatorItemActive(index)\n    }];\n  },\n  indicatorButton: 'p-galleria-indicator-button',\n  thumbnails: 'p-galleria-thumbnails',\n  thumbnailContent: 'p-galleria-thumbnails-content',\n  previousThumbnailButton: function previousThumbnailButton(_ref6) {\n    var instance = _ref6.instance;\n    return ['p-galleria-thumbnail-prev-button p-galleria-thumbnail-nav-button', {\n      'p-disabled': instance.isNavBackwardDisabled()\n    }];\n  },\n  previousThumbnailIcon: 'p-galleria-thumbnail-prev-icon',\n  thumbnailsViewport: 'p-galleria-thumbnails-viewport',\n  thumbnailItems: 'p-galleria-thumbnail-items',\n  thumbnailItem: function thumbnailItem(_ref7) {\n    var instance = _ref7.instance,\n      index = _ref7.index,\n      activeIndex = _ref7.activeIndex;\n    return ['p-galleria-thumbnail-item', {\n      'p-galleria-thumbnail-item-current': activeIndex === index,\n      'p-galleria-thumbnail-item-active': instance.isItemActive(index),\n      'p-galleria-thumbnail-item-start': instance.firstItemAciveIndex() === index,\n      'p-galleria-thumbnail-item-end': instance.lastItemActiveIndex() === index\n    }];\n  },\n  thumbnail: 'p-galleria-thumbnail',\n  nextThumbnailButton: function nextThumbnailButton(_ref8) {\n    var instance = _ref8.instance;\n    return ['p-galleria-thumbnail-next-button  p-galleria-thumbnail-nav-button', {\n      'p-disabled': instance.isNavForwardDisabled()\n    }];\n  },\n  nextThumbnailIcon: 'p-galleria-thumbnail-next-icon'\n};\nvar GalleriaStyle = BaseStyle.extend({\n  name: 'galleria',\n  theme: theme,\n  classes: classes\n});\n\nexport { GalleriaStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'ChevronLeftIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M9.61296 13C9.50997 13.0005 9.40792 12.9804 9.3128 12.9409C9.21767 12.9014 9.13139 12.8433 9.05902 12.7701L3.83313 7.54416C3.68634 7.39718 3.60388 7.19795 3.60388 6.99022C3.60388 6.78249 3.68634 6.58325 3.83313 6.43628L9.05902 1.21039C9.20762 1.07192 9.40416 0.996539 9.60724 1.00012C9.81032 1.00371 10.0041 1.08597 10.1477 1.22959C10.2913 1.37322 10.3736 1.56698 10.3772 1.77005C10.3808 1.97313 10.3054 2.16968 10.1669 2.31827L5.49496 6.99022L10.1669 11.6622C10.3137 11.8091 10.3962 12.0084 10.3962 12.2161C10.3962 12.4238 10.3137 12.6231 10.1669 12.7701C10.0945 12.8433 10.0083 12.9014 9.91313 12.9409C9.81801 12.9804 9.71596 13.0005 9.61296 13Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'ChevronRightIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M4.38708 13C4.28408 13.0005 4.18203 12.9804 4.08691 12.9409C3.99178 12.9014 3.9055 12.8433 3.83313 12.7701C3.68634 12.6231 3.60388 12.4238 3.60388 12.2161C3.60388 12.0084 3.68634 11.8091 3.83313 11.6622L8.50507 6.99022L3.83313 2.31827C3.69467 2.16968 3.61928 1.97313 3.62287 1.77005C3.62645 1.56698 3.70872 1.37322 3.85234 1.22959C3.99596 1.08597 4.18972 1.00371 4.3928 1.00012C4.59588 0.996539 4.79242 1.07192 4.94102 1.21039L10.1669 6.43628C10.3137 6.58325 10.3962 6.78249 10.3962 6.99022C10.3962 7.19795 10.3137 7.39718 10.1669 7.54416L4.94102 12.7701C4.86865 12.8433 4.78237 12.9014 4.68724 12.9409C4.59212 12.9804 4.49007 13.0005 4.38708 13Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'ChevronUpIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M12.2097 10.4113C12.1057 10.4118 12.0027 10.3915 11.9067 10.3516C11.8107 10.3118 11.7237 10.2532 11.6506 10.1792L6.93602 5.46461L2.22139 10.1476C2.07272 10.244 1.89599 10.2877 1.71953 10.2717C1.54307 10.2556 1.3771 10.1808 1.24822 10.0593C1.11933 9.93766 1.035 9.77633 1.00874 9.6011C0.982477 9.42587 1.0158 9.2469 1.10338 9.09287L6.37701 3.81923C6.52533 3.6711 6.72639 3.58789 6.93602 3.58789C7.14565 3.58789 7.3467 3.6711 7.49502 3.81923L12.7687 9.09287C12.9168 9.24119 13 9.44225 13 9.65187C13 9.8615 12.9168 10.0626 12.7687 10.2109C12.616 10.3487 12.4151 10.4207 12.2097 10.4113Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import { find, getAttribute, findSingle, removeClass, addClass, setAttribute, unblockBodyScroll, blockBodyScroll } from '@primeuix/utils/dom';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport FocusTrap from 'primevue/focustrap';\nimport Portal from 'primevue/portal';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport GalleriaStyle from 'primevue/galleria/style';\nimport { UniqueComponentId } from '@primevue/core/utils';\nimport TimesIcon from '@primevue/icons/times';\nimport Ripple from 'primevue/ripple';\nimport ChevronLeftIcon from '@primevue/icons/chevronleft';\nimport ChevronRightIcon from '@primevue/icons/chevronright';\nimport { resolveDirective, openBlock, createElementBlock, mergeProps, createElementVNode, withDirectives, createBlock, resolveDynamicComponent, createCommentVNode, Fragment, renderList, resolveComponent, createVNode, withCtx, Transition } from 'vue';\nimport { localeComparator, sort } from '@primeuix/utils/object';\nimport ChevronDownIcon from '@primevue/icons/chevrondown';\nimport ChevronUpIcon from '@primevue/icons/chevronup';\n\nvar script$4 = {\n  name: 'BaseGalleria',\n  \"extends\": BaseComponent,\n  props: {\n    id: {\n      type: String,\n      \"default\": null\n    },\n    value: {\n      type: Array,\n      \"default\": null\n    },\n    activeIndex: {\n      type: Number,\n      \"default\": 0\n    },\n    fullScreen: {\n      type: Boolean,\n      \"default\": false\n    },\n    visible: {\n      type: Boolean,\n      \"default\": false\n    },\n    numVisible: {\n      type: Number,\n      \"default\": 3\n    },\n    responsiveOptions: {\n      type: Array,\n      \"default\": null\n    },\n    showItemNavigators: {\n      type: Boolean,\n      \"default\": false\n    },\n    showThumbnailNavigators: {\n      type: Boolean,\n      \"default\": true\n    },\n    showItemNavigatorsOnHover: {\n      type: Boolean,\n      \"default\": false\n    },\n    changeItemOnIndicatorHover: {\n      type: Boolean,\n      \"default\": false\n    },\n    circular: {\n      type: Boolean,\n      \"default\": false\n    },\n    autoPlay: {\n      type: Boolean,\n      \"default\": false\n    },\n    transitionInterval: {\n      type: Number,\n      \"default\": 4000\n    },\n    showThumbnails: {\n      type: Boolean,\n      \"default\": true\n    },\n    thumbnailsPosition: {\n      type: String,\n      \"default\": 'bottom'\n    },\n    verticalThumbnailViewPortHeight: {\n      type: String,\n      \"default\": '300px'\n    },\n    showIndicators: {\n      type: Boolean,\n      \"default\": false\n    },\n    showIndicatorsOnItem: {\n      type: Boolean,\n      \"default\": false\n    },\n    indicatorsPosition: {\n      type: String,\n      \"default\": 'bottom'\n    },\n    baseZIndex: {\n      type: Number,\n      \"default\": 0\n    },\n    maskClass: {\n      type: String,\n      \"default\": null\n    },\n    containerStyle: {\n      type: null,\n      \"default\": null\n    },\n    containerClass: {\n      type: null,\n      \"default\": null\n    },\n    containerProps: {\n      type: null,\n      \"default\": null\n    },\n    prevButtonProps: {\n      type: null,\n      \"default\": null\n    },\n    nextButtonProps: {\n      type: null,\n      \"default\": null\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    },\n    ariaRoledescription: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: GalleriaStyle,\n  provide: function provide() {\n    return {\n      $pcGalleria: this,\n      $parentInstance: this\n    };\n  }\n};\n\nfunction _toConsumableArray$1(r) { return _arrayWithoutHoles$1(r) || _iterableToArray$1(r) || _unsupportedIterableToArray$1(r) || _nonIterableSpread$1(); }\nfunction _nonIterableSpread$1() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray$1(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray$1(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$1(r, a) : void 0; } }\nfunction _iterableToArray$1(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles$1(r) { if (Array.isArray(r)) return _arrayLikeToArray$1(r); }\nfunction _arrayLikeToArray$1(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar script$3 = {\n  name: 'GalleriaItem',\n  hostName: 'Galleria',\n  \"extends\": BaseComponent,\n  emits: ['start-slideshow', 'stop-slideshow', 'update:activeIndex'],\n  props: {\n    circular: {\n      type: Boolean,\n      \"default\": false\n    },\n    activeIndex: {\n      type: Number,\n      \"default\": 0\n    },\n    value: {\n      type: Array,\n      \"default\": null\n    },\n    showItemNavigators: {\n      type: Boolean,\n      \"default\": true\n    },\n    showIndicators: {\n      type: Boolean,\n      \"default\": true\n    },\n    slideShowActive: {\n      type: Boolean,\n      \"default\": true\n    },\n    changeItemOnIndicatorHover: {\n      type: Boolean,\n      \"default\": true\n    },\n    autoPlay: {\n      type: Boolean,\n      \"default\": false\n    },\n    templates: {\n      type: null,\n      \"default\": null\n    },\n    id: {\n      type: String,\n      \"default\": null\n    }\n  },\n  mounted: function mounted() {\n    if (this.autoPlay) {\n      this.$emit('start-slideshow');\n    }\n  },\n  methods: {\n    getIndicatorPTOptions: function getIndicatorPTOptions(index) {\n      return {\n        context: {\n          highlighted: this.activeIndex === index\n        }\n      };\n    },\n    next: function next() {\n      var nextItemIndex = this.activeIndex + 1;\n      var activeIndex = this.circular && this.value.length - 1 === this.activeIndex ? 0 : nextItemIndex;\n      this.$emit('update:activeIndex', activeIndex);\n    },\n    prev: function prev() {\n      var prevItemIndex = this.activeIndex !== 0 ? this.activeIndex - 1 : 0;\n      var activeIndex = this.circular && this.activeIndex === 0 ? this.value.length - 1 : prevItemIndex;\n      this.$emit('update:activeIndex', activeIndex);\n    },\n    stopSlideShow: function stopSlideShow() {\n      if (this.slideShowActive && this.stopSlideShow) {\n        this.$emit('stop-slideshow');\n      }\n    },\n    navBackward: function navBackward(e) {\n      this.stopSlideShow();\n      this.prev();\n      if (e && e.cancelable) {\n        e.preventDefault();\n      }\n    },\n    navForward: function navForward(e) {\n      this.stopSlideShow();\n      this.next();\n      if (e && e.cancelable) {\n        e.preventDefault();\n      }\n    },\n    onIndicatorClick: function onIndicatorClick(index) {\n      this.stopSlideShow();\n      this.$emit('update:activeIndex', index);\n    },\n    onIndicatorMouseEnter: function onIndicatorMouseEnter(index) {\n      if (this.changeItemOnIndicatorHover) {\n        this.stopSlideShow();\n        this.$emit('update:activeIndex', index);\n      }\n    },\n    onIndicatorKeyDown: function onIndicatorKeyDown(event, index) {\n      switch (event.code) {\n        case 'Enter':\n        case 'NumpadEnter':\n        case 'Space':\n          this.stopSlideShow();\n          this.$emit('update:activeIndex', index);\n          event.preventDefault();\n          break;\n        case 'ArrowRight':\n          this.onRightKey();\n          break;\n        case 'ArrowLeft':\n          this.onLeftKey();\n          break;\n        case 'Home':\n          this.onHomeKey();\n          event.preventDefault();\n          break;\n        case 'End':\n          this.onEndKey();\n          event.preventDefault();\n          break;\n        case 'Tab':\n          this.onTabKey();\n          break;\n        case 'ArrowDown':\n        case 'ArrowUp':\n        case 'PageUp':\n        case 'PageDown':\n          event.preventDefault();\n          break;\n      }\n    },\n    onRightKey: function onRightKey() {\n      var indicators = _toConsumableArray$1(find(this.$refs.indicatorContent, '[data-pc-section=\"indicator\"]'));\n      var activeIndex = this.findFocusedIndicatorIndex();\n      this.changedFocusedIndicator(activeIndex, activeIndex + 1 === indicators.length ? indicators.length - 1 : activeIndex + 1);\n    },\n    onLeftKey: function onLeftKey() {\n      var activeIndex = this.findFocusedIndicatorIndex();\n      this.changedFocusedIndicator(activeIndex, activeIndex - 1 <= 0 ? 0 : activeIndex - 1);\n    },\n    onHomeKey: function onHomeKey() {\n      var activeIndex = this.findFocusedIndicatorIndex();\n      this.changedFocusedIndicator(activeIndex, 0);\n    },\n    onEndKey: function onEndKey() {\n      var indicators = _toConsumableArray$1(find(this.$refs.indicatorContent, '[data-pc-section=\"indicator\"]'));\n      var activeIndex = this.findFocusedIndicatorIndex();\n      this.changedFocusedIndicator(activeIndex, indicators.length - 1);\n    },\n    onTabKey: function onTabKey() {\n      var indicators = _toConsumableArray$1(find(this.$refs.indicatorContent, '[data-pc-section=\"indicator\"]'));\n      var highlightedIndex = indicators.findIndex(function (ind) {\n        return getAttribute(ind, 'data-p-active') === true;\n      });\n      var activeIndicator = findSingle(this.$refs.indicatorContent, '[data-pc-section=\"indicator\"] > button[tabindex=\"0\"]');\n      var activeIndex = indicators.findIndex(function (ind) {\n        return ind === activeIndicator.parentElement;\n      });\n      indicators[activeIndex].children[0].tabIndex = '-1';\n      indicators[highlightedIndex].children[0].tabIndex = '0';\n    },\n    findFocusedIndicatorIndex: function findFocusedIndicatorIndex() {\n      var indicators = _toConsumableArray$1(find(this.$refs.indicatorContent, '[data-pc-section=\"indicator\"]'));\n      var activeIndicator = findSingle(this.$refs.indicatorContent, '[data-pc-section=\"indicator\"] > button[tabindex=\"0\"]');\n      return indicators.findIndex(function (ind) {\n        return ind === activeIndicator.parentElement;\n      });\n    },\n    changedFocusedIndicator: function changedFocusedIndicator(prevInd, nextInd) {\n      var indicators = _toConsumableArray$1(find(this.$refs.indicatorContent, '[data-pc-section=\"indicator\"]'));\n      indicators[prevInd].children[0].tabIndex = '-1';\n      indicators[nextInd].children[0].tabIndex = '0';\n      indicators[nextInd].children[0].focus();\n    },\n    isIndicatorItemActive: function isIndicatorItemActive(index) {\n      return this.activeIndex === index;\n    },\n    isNavBackwardDisabled: function isNavBackwardDisabled() {\n      return !this.circular && this.activeIndex === 0;\n    },\n    isNavForwardDisabled: function isNavForwardDisabled() {\n      return !this.circular && this.activeIndex === this.value.length - 1;\n    },\n    ariaSlideNumber: function ariaSlideNumber(value) {\n      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.slideNumber.replace(/{slideNumber}/g, value) : undefined;\n    },\n    ariaPageLabel: function ariaPageLabel(value) {\n      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.pageLabel.replace(/{page}/g, value) : undefined;\n    }\n  },\n  computed: {\n    activeItem: function activeItem() {\n      return this.value[this.activeIndex];\n    },\n    ariaSlideLabel: function ariaSlideLabel() {\n      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.slide : undefined;\n    }\n  },\n  components: {\n    ChevronLeftIcon: ChevronLeftIcon,\n    ChevronRightIcon: ChevronRightIcon\n  },\n  directives: {\n    ripple: Ripple\n  }\n};\n\nvar _hoisted_1$3 = [\"disabled\"];\nvar _hoisted_2$2 = [\"id\", \"aria-label\", \"aria-roledescription\"];\nvar _hoisted_3$2 = [\"disabled\"];\nvar _hoisted_4$1 = [\"aria-label\", \"aria-selected\", \"aria-controls\", \"onClick\", \"onMouseenter\", \"onKeydown\", \"data-p-active\"];\nvar _hoisted_5 = [\"tabindex\"];\nfunction render$3(_ctx, _cache, $props, $setup, $data, $options) {\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('itemsContainer')\n  }, _ctx.ptm('itemsContainer')), [createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('items')\n  }, _ctx.ptm('items')), [$props.showItemNavigators ? withDirectives((openBlock(), createElementBlock(\"button\", mergeProps({\n    key: 0,\n    type: \"button\",\n    \"class\": _ctx.cx('previousItemButton'),\n    onClick: _cache[0] || (_cache[0] = function ($event) {\n      return $options.navBackward($event);\n    }),\n    disabled: $options.isNavBackwardDisabled()\n  }, _ctx.ptm('previousItemButton'), {\n    \"data-pc-group-section\": \"itemnavigator\"\n  }), [(openBlock(), createBlock(resolveDynamicComponent($props.templates.previousitemicon || 'ChevronLeftIcon'), mergeProps({\n    \"class\": _ctx.cx('previousItemIcon')\n  }, _ctx.ptm('previousItemIcon')), null, 16, [\"class\"]))], 16, _hoisted_1$3)), [[_directive_ripple]]) : createCommentVNode(\"\", true), createElementVNode(\"div\", mergeProps({\n    id: $props.id + '_item_' + $props.activeIndex,\n    \"class\": _ctx.cx('item'),\n    role: \"group\",\n    \"aria-label\": $options.ariaSlideNumber($props.activeIndex + 1),\n    \"aria-roledescription\": $options.ariaSlideLabel\n  }, _ctx.ptm('item')), [$props.templates.item ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.item), {\n    key: 0,\n    item: $options.activeItem\n  }, null, 8, [\"item\"])) : createCommentVNode(\"\", true)], 16, _hoisted_2$2), $props.showItemNavigators ? withDirectives((openBlock(), createElementBlock(\"button\", mergeProps({\n    key: 1,\n    type: \"button\",\n    \"class\": _ctx.cx('nextItemButton'),\n    onClick: _cache[1] || (_cache[1] = function ($event) {\n      return $options.navForward($event);\n    }),\n    disabled: $options.isNavForwardDisabled()\n  }, _ctx.ptm('nextItemButton'), {\n    \"data-pc-group-section\": \"itemnavigator\"\n  }), [(openBlock(), createBlock(resolveDynamicComponent($props.templates.nextitemicon || 'ChevronRightIcon'), mergeProps({\n    \"class\": _ctx.cx('nextItemIcon')\n  }, _ctx.ptm('nextItemIcon')), null, 16, [\"class\"]))], 16, _hoisted_3$2)), [[_directive_ripple]]) : createCommentVNode(\"\", true), $props.templates['caption'] ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 2,\n    \"class\": _ctx.cx('caption')\n  }, _ctx.ptm('caption')), [$props.templates.caption ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.caption), {\n    key: 0,\n    item: $options.activeItem\n  }, null, 8, [\"item\"])) : createCommentVNode(\"\", true)], 16)) : createCommentVNode(\"\", true)], 16), $props.showIndicators ? (openBlock(), createElementBlock(\"ul\", mergeProps({\n    key: 0,\n    ref: \"indicatorContent\",\n    \"class\": _ctx.cx('indicatorList')\n  }, _ctx.ptm('indicatorList')), [(openBlock(true), createElementBlock(Fragment, null, renderList($props.value, function (item, index) {\n    return openBlock(), createElementBlock(\"li\", mergeProps({\n      key: \"p-galleria-indicator-\".concat(index),\n      \"class\": _ctx.cx('indicator', {\n        index: index\n      }),\n      \"aria-label\": $options.ariaPageLabel(index + 1),\n      \"aria-selected\": $props.activeIndex === index,\n      \"aria-controls\": $props.id + '_item_' + index,\n      onClick: function onClick($event) {\n        return $options.onIndicatorClick(index);\n      },\n      onMouseenter: function onMouseenter($event) {\n        return $options.onIndicatorMouseEnter(index);\n      },\n      onKeydown: function onKeydown($event) {\n        return $options.onIndicatorKeyDown($event, index);\n      },\n      ref_for: true\n    }, _ctx.ptm('indicator', $options.getIndicatorPTOptions(index)), {\n      \"data-p-active\": $options.isIndicatorItemActive(index)\n    }), [!$props.templates['indicator'] ? (openBlock(), createElementBlock(\"button\", mergeProps({\n      key: 0,\n      type: \"button\",\n      tabindex: $props.activeIndex === index ? '0' : '-1',\n      \"class\": _ctx.cx('indicatorButton'),\n      ref_for: true\n    }, _ctx.ptm('indicatorButton', $options.getIndicatorPTOptions(index))), null, 16, _hoisted_5)) : createCommentVNode(\"\", true), $props.templates.indicator ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.indicator), {\n      key: 1,\n      index: index\n    }, null, 8, [\"index\"])) : createCommentVNode(\"\", true)], 16, _hoisted_4$1);\n  }), 128))], 16)) : createCommentVNode(\"\", true)], 16);\n}\n\nscript$3.render = render$3;\n\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar script$2 = {\n  name: 'GalleriaThumbnails',\n  hostName: 'Galleria',\n  \"extends\": BaseComponent,\n  emits: ['stop-slideshow', 'update:activeIndex'],\n  props: {\n    containerId: {\n      type: String,\n      \"default\": null\n    },\n    value: {\n      type: Array,\n      \"default\": null\n    },\n    numVisible: {\n      type: Number,\n      \"default\": 3\n    },\n    activeIndex: {\n      type: Number,\n      \"default\": 0\n    },\n    isVertical: {\n      type: Boolean,\n      \"default\": false\n    },\n    slideShowActive: {\n      type: Boolean,\n      \"default\": false\n    },\n    circular: {\n      type: Boolean,\n      \"default\": false\n    },\n    responsiveOptions: {\n      type: Array,\n      \"default\": null\n    },\n    contentHeight: {\n      type: String,\n      \"default\": '300px'\n    },\n    showThumbnailNavigators: {\n      type: Boolean,\n      \"default\": true\n    },\n    templates: {\n      type: null,\n      \"default\": null\n    },\n    prevButtonProps: {\n      type: null,\n      \"default\": null\n    },\n    nextButtonProps: {\n      type: null,\n      \"default\": null\n    }\n  },\n  startPos: null,\n  thumbnailsStyle: null,\n  sortedResponsiveOptions: null,\n  data: function data() {\n    return {\n      d_numVisible: this.numVisible,\n      d_oldNumVisible: this.numVisible,\n      d_activeIndex: this.activeIndex,\n      d_oldActiveItemIndex: this.activeIndex,\n      totalShiftedItems: 0,\n      page: 0\n    };\n  },\n  watch: {\n    numVisible: function numVisible(newValue, oldValue) {\n      this.d_numVisible = newValue;\n      this.d_oldNumVisible = oldValue;\n    },\n    activeIndex: function activeIndex(newValue, oldValue) {\n      this.d_activeIndex = newValue;\n      this.d_oldActiveItemIndex = oldValue;\n    }\n  },\n  mounted: function mounted() {\n    this.createStyle();\n    this.calculatePosition();\n    if (this.responsiveOptions) {\n      this.bindDocumentListeners();\n    }\n  },\n  updated: function updated() {\n    var totalShiftedItems = this.totalShiftedItems;\n    if (this.d_oldNumVisible !== this.d_numVisible || this.d_oldActiveItemIndex !== this.d_activeIndex) {\n      if (this.d_activeIndex <= this.getMedianItemIndex()) {\n        totalShiftedItems = 0;\n      } else if (this.value.length - this.d_numVisible + this.getMedianItemIndex() < this.d_activeIndex) {\n        totalShiftedItems = this.d_numVisible - this.value.length;\n      } else if (this.value.length - this.d_numVisible < this.d_activeIndex && this.d_numVisible % 2 === 0) {\n        totalShiftedItems = this.d_activeIndex * -1 + this.getMedianItemIndex() + 1;\n      } else {\n        totalShiftedItems = this.d_activeIndex * -1 + this.getMedianItemIndex();\n      }\n      if (totalShiftedItems !== this.totalShiftedItems) {\n        this.totalShiftedItems = totalShiftedItems;\n      }\n      this.$refs.itemsContainer.style.transform = this.isVertical ? \"translate3d(0, \".concat(totalShiftedItems * (100 / this.d_numVisible), \"%, 0)\") : \"translate3d(\".concat(totalShiftedItems * (100 / this.d_numVisible), \"%, 0, 0)\");\n      if (this.d_oldActiveItemIndex !== this.d_activeIndex) {\n        document.body.setAttribute('data-p-items-hidden', 'false');\n        !this.isUnstyled && removeClass(this.$refs.itemsContainer, 'p-items-hidden');\n        this.$refs.itemsContainer.style.transition = 'transform 500ms ease 0s';\n      }\n      this.d_oldActiveItemIndex = this.d_activeIndex;\n      this.d_oldNumVisible = this.d_numVisible;\n    }\n  },\n  beforeUnmount: function beforeUnmount() {\n    if (this.responsiveOptions) {\n      this.unbindDocumentListeners();\n    }\n    if (this.thumbnailsStyle) {\n      this.thumbnailsStyle.parentNode.removeChild(this.thumbnailsStyle);\n    }\n  },\n  methods: {\n    step: function step(dir) {\n      var totalShiftedItems = this.totalShiftedItems + dir;\n      if (dir < 0 && -1 * totalShiftedItems + this.d_numVisible > this.value.length - 1) {\n        totalShiftedItems = this.d_numVisible - this.value.length;\n      } else if (dir > 0 && totalShiftedItems > 0) {\n        totalShiftedItems = 0;\n      }\n      if (this.circular) {\n        if (dir < 0 && this.value.length - 1 === this.d_activeIndex) {\n          totalShiftedItems = 0;\n        } else if (dir > 0 && this.d_activeIndex === 0) {\n          totalShiftedItems = this.d_numVisible - this.value.length;\n        }\n      }\n      if (this.$refs.itemsContainer) {\n        document.body.setAttribute('data-p-items-hidden', 'false');\n        !this.isUnstyled && removeClass(this.$refs.itemsContainer, 'p-items-hidden');\n        this.$refs.itemsContainer.style.transform = this.isVertical ? \"translate3d(0, \".concat(totalShiftedItems * (100 / this.d_numVisible), \"%, 0)\") : \"translate3d(\".concat(totalShiftedItems * (100 / this.d_numVisible), \"%, 0, 0)\");\n        this.$refs.itemsContainer.style.transition = 'transform 500ms ease 0s';\n      }\n      this.totalShiftedItems = totalShiftedItems;\n    },\n    stopSlideShow: function stopSlideShow() {\n      if (this.slideShowActive && this.stopSlideShow) {\n        this.$emit('stop-slideshow');\n      }\n    },\n    getMedianItemIndex: function getMedianItemIndex() {\n      var index = Math.floor(this.d_numVisible / 2);\n      return this.d_numVisible % 2 ? index : index - 1;\n    },\n    navBackward: function navBackward(e) {\n      this.stopSlideShow();\n      var prevItemIndex = this.d_activeIndex !== 0 ? this.d_activeIndex - 1 : 0;\n      var diff = prevItemIndex + this.totalShiftedItems;\n      if (this.d_numVisible - diff - 1 > this.getMedianItemIndex() && (-1 * this.totalShiftedItems !== 0 || this.circular)) {\n        this.step(1);\n      }\n      var activeIndex = this.circular && this.d_activeIndex === 0 ? this.value.length - 1 : prevItemIndex;\n      this.$emit('update:activeIndex', activeIndex);\n      if (e.cancelable) {\n        e.preventDefault();\n      }\n    },\n    navForward: function navForward(e) {\n      this.stopSlideShow();\n      var nextItemIndex = this.d_activeIndex === this.value.length - 1 ? this.value.length - 1 : this.d_activeIndex + 1;\n      if (nextItemIndex + this.totalShiftedItems > this.getMedianItemIndex() && (-1 * this.totalShiftedItems < this.getTotalPageNumber() - 1 || this.circular)) {\n        this.step(-1);\n      }\n      var activeIndex = this.circular && this.value.length - 1 === this.d_activeIndex ? 0 : nextItemIndex;\n      this.$emit('update:activeIndex', activeIndex);\n      if (e.cancelable) {\n        e.preventDefault();\n      }\n    },\n    onItemClick: function onItemClick(index) {\n      this.stopSlideShow();\n      var selectedItemIndex = index;\n      if (selectedItemIndex !== this.d_activeIndex) {\n        var diff = selectedItemIndex + this.totalShiftedItems;\n        var dir = 0;\n        if (selectedItemIndex < this.d_activeIndex) {\n          dir = this.d_numVisible - diff - 1 - this.getMedianItemIndex();\n          if (dir > 0 && -1 * this.totalShiftedItems !== 0) {\n            this.step(dir);\n          }\n        } else {\n          dir = this.getMedianItemIndex() - diff;\n          if (dir < 0 && -1 * this.totalShiftedItems < this.getTotalPageNumber() - 1) {\n            this.step(dir);\n          }\n        }\n        this.$emit('update:activeIndex', selectedItemIndex);\n      }\n    },\n    onThumbnailKeydown: function onThumbnailKeydown(event, index) {\n      if (event.code === 'Enter' || event.code === 'NumpadEnter' || event.code === 'Space') {\n        this.onItemClick(index);\n        event.preventDefault();\n      }\n      switch (event.code) {\n        case 'ArrowRight':\n          this.onRightKey();\n          break;\n        case 'ArrowLeft':\n          this.onLeftKey();\n          break;\n        case 'Home':\n          this.onHomeKey();\n          event.preventDefault();\n          break;\n        case 'End':\n          this.onEndKey();\n          event.preventDefault();\n          break;\n        case 'ArrowUp':\n        case 'ArrowDown':\n          event.preventDefault();\n          break;\n        case 'Tab':\n          this.onTabKey();\n          break;\n      }\n    },\n    onRightKey: function onRightKey() {\n      var indicators = find(this.$refs.itemsContainer, '[data-pc-section=\"thumbnailitem\"]');\n      var activeIndex = this.findFocusedIndicatorIndex();\n      this.changedFocusedIndicator(activeIndex, activeIndex + 1 === indicators.length ? indicators.length - 1 : activeIndex + 1);\n    },\n    onLeftKey: function onLeftKey() {\n      var activeIndex = this.findFocusedIndicatorIndex();\n      this.changedFocusedIndicator(activeIndex, activeIndex - 1 <= 0 ? 0 : activeIndex - 1);\n    },\n    onHomeKey: function onHomeKey() {\n      var activeIndex = this.findFocusedIndicatorIndex();\n      this.changedFocusedIndicator(activeIndex, 0);\n    },\n    onEndKey: function onEndKey() {\n      var indicators = find(this.$refs.itemsContainer, '[data-pc-section=\"thumbnailitem\"]');\n      var activeIndex = this.findFocusedIndicatorIndex();\n      this.changedFocusedIndicator(activeIndex, indicators.length - 1);\n    },\n    onTabKey: function onTabKey() {\n      var indicators = _toConsumableArray(find(this.$refs.itemsContainer, '[data-pc-section=\"thumbnailitem\"]'));\n      var highlightedIndex = indicators.findIndex(function (ind) {\n        return getAttribute(ind, 'data-p-active') === true;\n      });\n      var activeIndicator = findSingle(this.$refs.itemsContainer, '[tabindex=\"0\"]');\n      var activeIndex = indicators.findIndex(function (ind) {\n        return ind === activeIndicator.parentElement;\n      });\n      indicators[activeIndex].children[0].tabIndex = '-1';\n      indicators[highlightedIndex].children[0].tabIndex = '0';\n    },\n    findFocusedIndicatorIndex: function findFocusedIndicatorIndex() {\n      var indicators = _toConsumableArray(find(this.$refs.itemsContainer, '[data-pc-section=\"thumbnailitem\"]'));\n      var activeIndicator = findSingle(this.$refs.itemsContainer, '[data-pc-section=\"thumbnailitem\"] > [tabindex=\"0\"]');\n      return indicators.findIndex(function (ind) {\n        return ind === activeIndicator.parentElement;\n      });\n    },\n    changedFocusedIndicator: function changedFocusedIndicator(prevInd, nextInd) {\n      var indicators = find(this.$refs.itemsContainer, '[data-pc-section=\"thumbnailitem\"]');\n      indicators[prevInd].children[0].tabIndex = '-1';\n      indicators[nextInd].children[0].tabIndex = '0';\n      indicators[nextInd].children[0].focus();\n    },\n    onTransitionEnd: function onTransitionEnd(e) {\n      if (this.$refs.itemsContainer && e.propertyName === 'transform') {\n        document.body.setAttribute('data-p-items-hidden', 'true');\n        !this.isUnstyled && addClass(this.$refs.itemsContainer, 'p-items-hidden');\n        this.$refs.itemsContainer.style.transition = '';\n      }\n    },\n    onTouchStart: function onTouchStart(e) {\n      var touchobj = e.changedTouches[0];\n      this.startPos = {\n        x: touchobj.pageX,\n        y: touchobj.pageY\n      };\n    },\n    onTouchMove: function onTouchMove(e) {\n      if (e.cancelable) {\n        e.preventDefault();\n      }\n    },\n    onTouchEnd: function onTouchEnd(e) {\n      var touchobj = e.changedTouches[0];\n      if (this.isVertical) {\n        this.changePageOnTouch(e, touchobj.pageY - this.startPos.y);\n      } else {\n        this.changePageOnTouch(e, touchobj.pageX - this.startPos.x);\n      }\n    },\n    changePageOnTouch: function changePageOnTouch(e, diff) {\n      if (diff < 0) {\n        // left\n        this.navForward(e);\n      } else {\n        // right\n        this.navBackward(e);\n      }\n    },\n    getTotalPageNumber: function getTotalPageNumber() {\n      return this.value.length > this.d_numVisible ? this.value.length - this.d_numVisible + 1 : 0;\n    },\n    createStyle: function createStyle() {\n      if (!this.thumbnailsStyle) {\n        var _this$$primevue;\n        this.thumbnailsStyle = document.createElement('style');\n        this.thumbnailsStyle.type = 'text/css';\n        setAttribute(this.thumbnailsStyle, 'nonce', (_this$$primevue = this.$primevue) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.config) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.csp) === null || _this$$primevue === void 0 ? void 0 : _this$$primevue.nonce);\n        document.body.appendChild(this.thumbnailsStyle);\n      }\n      var innerHTML = \"\\n                #\".concat(this.containerId, \" [data-pc-section=\\\"thumbnailitem\\\"] {\\n                    flex: 1 0 \").concat(100 / this.d_numVisible, \"%\\n                }\\n            \");\n      if (this.responsiveOptions && !this.isUnstyled) {\n        this.sortedResponsiveOptions = _toConsumableArray(this.responsiveOptions);\n        var comparer = localeComparator();\n        this.sortedResponsiveOptions.sort(function (data1, data2) {\n          var value1 = data1.breakpoint;\n          var value2 = data2.breakpoint;\n          return sort(value1, value2, -1, comparer);\n        });\n        for (var i = 0; i < this.sortedResponsiveOptions.length; i++) {\n          var res = this.sortedResponsiveOptions[i];\n          innerHTML += \"\\n                        @media screen and (max-width: \".concat(res.breakpoint, \") {\\n                            #\").concat(this.containerId, \" .p-galleria-thumbnail-item {\\n                                flex: 1 0 \").concat(100 / res.numVisible, \"%\\n                            }\\n                        }\\n                    \");\n        }\n      }\n      this.thumbnailsStyle.innerHTML = innerHTML;\n    },\n    calculatePosition: function calculatePosition() {\n      if (this.$refs.itemsContainer && this.sortedResponsiveOptions) {\n        var windowWidth = window.innerWidth;\n        var matchedResponsiveData = {\n          numVisible: this.numVisible\n        };\n        for (var i = 0; i < this.sortedResponsiveOptions.length; i++) {\n          var res = this.sortedResponsiveOptions[i];\n          if (parseInt(res.breakpoint, 10) >= windowWidth) {\n            matchedResponsiveData = res;\n          }\n        }\n        if (this.d_numVisible !== matchedResponsiveData.numVisible) {\n          this.d_numVisible = matchedResponsiveData.numVisible;\n        }\n      }\n    },\n    bindDocumentListeners: function bindDocumentListeners() {\n      var _this = this;\n      if (!this.documentResizeListener) {\n        this.documentResizeListener = function () {\n          _this.calculatePosition();\n        };\n        window.addEventListener('resize', this.documentResizeListener);\n      }\n    },\n    unbindDocumentListeners: function unbindDocumentListeners() {\n      if (this.documentResizeListener) {\n        window.removeEventListener('resize', this.documentResizeListener);\n        this.documentResizeListener = null;\n      }\n    },\n    isNavBackwardDisabled: function isNavBackwardDisabled() {\n      return !this.circular && this.d_activeIndex === 0 || this.value.length <= this.d_numVisible;\n    },\n    isNavForwardDisabled: function isNavForwardDisabled() {\n      return !this.circular && this.d_activeIndex === this.value.length - 1 || this.value.length <= this.d_numVisible;\n    },\n    firstItemAciveIndex: function firstItemAciveIndex() {\n      return this.totalShiftedItems * -1;\n    },\n    lastItemActiveIndex: function lastItemActiveIndex() {\n      return this.firstItemAciveIndex() + this.d_numVisible - 1;\n    },\n    isItemActive: function isItemActive(index) {\n      return this.firstItemAciveIndex() <= index && this.lastItemActiveIndex() >= index;\n    },\n    ariaPageLabel: function ariaPageLabel(value) {\n      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.pageLabel.replace(/{page}/g, value) : undefined;\n    }\n  },\n  computed: {\n    ariaPrevButtonLabel: function ariaPrevButtonLabel() {\n      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.prevPageLabel : undefined;\n    },\n    ariaNextButtonLabel: function ariaNextButtonLabel() {\n      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.nextPageLabel : undefined;\n    }\n  },\n  components: {\n    ChevronLeftIcon: ChevronLeftIcon,\n    ChevronRightIcon: ChevronRightIcon,\n    ChevronUpIcon: ChevronUpIcon,\n    ChevronDownIcon: ChevronDownIcon\n  },\n  directives: {\n    ripple: Ripple\n  }\n};\n\nfunction _typeof$2(o) { \"@babel/helpers - typeof\"; return _typeof$2 = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof$2(o); }\nfunction ownKeys$2(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread$2(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys$2(Object(t), !0).forEach(function (r) { _defineProperty$2(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$2(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty$2(e, r, t) { return (r = _toPropertyKey$2(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey$2(t) { var i = _toPrimitive$2(t, \"string\"); return \"symbol\" == _typeof$2(i) ? i : i + \"\"; }\nfunction _toPrimitive$2(t, r) { if (\"object\" != _typeof$2(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof$2(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar _hoisted_1$2 = [\"disabled\", \"aria-label\"];\nvar _hoisted_2$1 = [\"data-p-active\", \"aria-selected\", \"aria-controls\", \"onKeydown\", \"data-p-galleria-thumbnail-item-current\", \"data-p-galleria-thumbnail-item-active\", \"data-p-galleria-thumbnail-item-start\", \"data-p-galleria-thumbnail-item-end\"];\nvar _hoisted_3$1 = [\"tabindex\", \"aria-label\", \"aria-current\", \"onClick\"];\nvar _hoisted_4 = [\"disabled\", \"aria-label\"];\nfunction render$2(_ctx, _cache, $props, $setup, $data, $options) {\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('thumbnails')\n  }, _ctx.ptm('thumbnails')), [createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('thumbnailContent')\n  }, _ctx.ptm('thumbnailContent')), [$props.showThumbnailNavigators ? withDirectives((openBlock(), createElementBlock(\"button\", mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('previousThumbnailButton'),\n    disabled: $options.isNavBackwardDisabled(),\n    type: \"button\",\n    \"aria-label\": $options.ariaPrevButtonLabel,\n    onClick: _cache[0] || (_cache[0] = function ($event) {\n      return $options.navBackward($event);\n    })\n  }, _objectSpread$2(_objectSpread$2({}, $props.prevButtonProps), _ctx.ptm('previousThumbnailButton')), {\n    \"data-pc-group-section\": \"thumbnailnavigator\"\n  }), [(openBlock(), createBlock(resolveDynamicComponent($props.templates.previousthumbnailicon || ($props.isVertical ? 'ChevronUpIcon' : 'ChevronLeftIcon')), mergeProps({\n    \"class\": _ctx.cx('previousThumbnailIcon')\n  }, _ctx.ptm('previousThumbnailIcon')), null, 16, [\"class\"]))], 16, _hoisted_1$2)), [[_directive_ripple]]) : createCommentVNode(\"\", true), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('thumbnailsViewport'),\n    style: {\n      height: $props.isVertical ? $props.contentHeight : ''\n    }\n  }, _ctx.ptm('thumbnailsViewport')), [createElementVNode(\"div\", mergeProps({\n    ref: \"itemsContainer\",\n    \"class\": _ctx.cx('thumbnailItems'),\n    role: \"tablist\",\n    onTransitionend: _cache[1] || (_cache[1] = function ($event) {\n      return $options.onTransitionEnd($event);\n    }),\n    onTouchstart: _cache[2] || (_cache[2] = function ($event) {\n      return $options.onTouchStart($event);\n    }),\n    onTouchmove: _cache[3] || (_cache[3] = function ($event) {\n      return $options.onTouchMove($event);\n    }),\n    onTouchend: _cache[4] || (_cache[4] = function ($event) {\n      return $options.onTouchEnd($event);\n    })\n  }, _ctx.ptm('thumbnailItems')), [(openBlock(true), createElementBlock(Fragment, null, renderList($props.value, function (item, index) {\n    return openBlock(), createElementBlock(\"div\", mergeProps({\n      key: \"p-galleria-thumbnail-item-\".concat(index),\n      \"class\": _ctx.cx('thumbnailItem', {\n        index: index,\n        activeIndex: $props.activeIndex\n      }),\n      role: \"tab\",\n      \"data-p-active\": $props.activeIndex === index,\n      \"aria-selected\": $props.activeIndex === index,\n      \"aria-controls\": $props.containerId + '_item_' + index,\n      onKeydown: function onKeydown($event) {\n        return $options.onThumbnailKeydown($event, index);\n      },\n      ref_for: true\n    }, _ctx.ptm('thumbnailItem'), {\n      \"data-p-galleria-thumbnail-item-current\": $props.activeIndex === index,\n      \"data-p-galleria-thumbnail-item-active\": $options.isItemActive(index),\n      \"data-p-galleria-thumbnail-item-start\": $options.firstItemAciveIndex() === index,\n      \"data-p-galleria-thumbnail-item-end\": $options.lastItemActiveIndex() === index\n    }), [createElementVNode(\"div\", mergeProps({\n      \"class\": _ctx.cx('thumbnail'),\n      tabindex: $props.activeIndex === index ? '0' : '-1',\n      \"aria-label\": $options.ariaPageLabel(index + 1),\n      \"aria-current\": $props.activeIndex === index ? 'page' : undefined,\n      onClick: function onClick($event) {\n        return $options.onItemClick(index);\n      },\n      ref_for: true\n    }, _ctx.ptm('thumbnail')), [$props.templates.thumbnail ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.thumbnail), {\n      key: 0,\n      item: item\n    }, null, 8, [\"item\"])) : createCommentVNode(\"\", true)], 16, _hoisted_3$1)], 16, _hoisted_2$1);\n  }), 128))], 16)], 16), $props.showThumbnailNavigators ? withDirectives((openBlock(), createElementBlock(\"button\", mergeProps({\n    key: 1,\n    \"class\": _ctx.cx('nextThumbnailButton'),\n    disabled: $options.isNavForwardDisabled(),\n    type: \"button\",\n    \"aria-label\": $options.ariaNextButtonLabel,\n    onClick: _cache[5] || (_cache[5] = function ($event) {\n      return $options.navForward($event);\n    })\n  }, _objectSpread$2(_objectSpread$2({}, $props.nextButtonProps), _ctx.ptm('nextThumbnailButton')), {\n    \"data-pc-group-section\": \"thumbnailnavigator\"\n  }), [(openBlock(), createBlock(resolveDynamicComponent($props.templates.nextthumbnailicon || ($props.isVertical ? 'ChevronDownIcon' : 'ChevronRightIcon')), mergeProps({\n    \"class\": _ctx.cx('nextThumbnailIcon')\n  }, _ctx.ptm('nextThumbnailIcon')), null, 16, [\"class\"]))], 16, _hoisted_4)), [[_directive_ripple]]) : createCommentVNode(\"\", true)], 16)], 16);\n}\n\nscript$2.render = render$2;\n\nfunction _typeof$1(o) { \"@babel/helpers - typeof\"; return _typeof$1 = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof$1(o); }\nfunction ownKeys$1(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread$1(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys$1(Object(t), !0).forEach(function (r) { _defineProperty$1(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$1(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty$1(e, r, t) { return (r = _toPropertyKey$1(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey$1(t) { var i = _toPrimitive$1(t, \"string\"); return \"symbol\" == _typeof$1(i) ? i : i + \"\"; }\nfunction _toPrimitive$1(t, r) { if (\"object\" != _typeof$1(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof$1(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar script$1 = {\n  name: 'GalleriaContent',\n  hostName: 'Galleria',\n  \"extends\": BaseComponent,\n  inheritAttrs: false,\n  interval: null,\n  emits: ['activeitem-change', 'mask-hide'],\n  data: function data() {\n    return {\n      id: this.$attrs.id || UniqueComponentId(),\n      activeIndex: this.$attrs.activeIndex,\n      numVisible: this.$attrs.numVisible,\n      slideShowActive: false\n    };\n  },\n  watch: {\n    '$attrs.id': function $attrsId(newValue) {\n      this.id = newValue || UniqueComponentId();\n    },\n    '$attrs.value': function $attrsValue(newVal) {\n      if (newVal && newVal.length < this.numVisible) {\n        this.numVisible = newVal.length;\n      }\n    },\n    '$attrs.activeIndex': function $attrsActiveIndex(newVal) {\n      this.activeIndex = newVal;\n    },\n    '$attrs.numVisible': function $attrsNumVisible(newVal) {\n      this.numVisible = newVal;\n    },\n    '$attrs.autoPlay': function $attrsAutoPlay(newVal) {\n      newVal ? this.startSlideShow() : this.stopSlideShow();\n    }\n  },\n  mounted: function mounted() {\n    this.id = this.id || UniqueComponentId();\n  },\n  updated: function updated() {\n    this.$emit('activeitem-change', this.activeIndex);\n  },\n  beforeUnmount: function beforeUnmount() {\n    if (this.slideShowActive) {\n      this.stopSlideShow();\n    }\n  },\n  methods: {\n    getPTOptions: function getPTOptions(key) {\n      return this.ptm(key, {\n        props: _objectSpread$1(_objectSpread$1({}, this.$attrs), {}, {\n          pt: this.pt,\n          unstyled: this.unstyled\n        })\n      });\n    },\n    isAutoPlayActive: function isAutoPlayActive() {\n      return this.slideShowActive;\n    },\n    startSlideShow: function startSlideShow() {\n      var _this = this;\n      this.interval = setInterval(function () {\n        var activeIndex = _this.$attrs.circular && _this.$attrs.value.length - 1 === _this.activeIndex ? 0 : _this.activeIndex + 1;\n        _this.activeIndex = activeIndex;\n      }, this.$attrs.transitionInterval);\n      this.slideShowActive = true;\n    },\n    stopSlideShow: function stopSlideShow() {\n      if (this.interval) {\n        clearInterval(this.interval);\n      }\n      this.slideShowActive = false;\n    },\n    getPositionClass: function getPositionClass(preClassName, position) {\n      var positions = ['top', 'left', 'bottom', 'right'];\n      var pos = positions.find(function (item) {\n        return item === position;\n      });\n      return pos ? \"\".concat(preClassName, \"-\").concat(pos) : '';\n    },\n    isVertical: function isVertical() {\n      return this.$attrs.thumbnailsPosition === 'left' || this.$attrs.thumbnailsPosition === 'right';\n    }\n  },\n  computed: {\n    closeAriaLabel: function closeAriaLabel() {\n      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.close : undefined;\n    }\n  },\n  components: {\n    GalleriaItem: script$3,\n    GalleriaThumbnails: script$2,\n    TimesIcon: TimesIcon\n  },\n  directives: {\n    ripple: Ripple\n  }\n};\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar _hoisted_1$1 = [\"id\", \"aria-label\", \"aria-roledescription\"];\nvar _hoisted_2 = [\"aria-label\"];\nvar _hoisted_3 = [\"aria-live\"];\nfunction render$1(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_GalleriaItem = resolveComponent(\"GalleriaItem\");\n  var _component_GalleriaThumbnails = resolveComponent(\"GalleriaThumbnails\");\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return _ctx.$attrs.value && _ctx.$attrs.value.length > 0 ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 0,\n    id: $data.id,\n    role: \"region\",\n    \"class\": [_ctx.cx('root'), _ctx.$attrs.containerClass],\n    style: _ctx.$attrs.containerStyle,\n    \"aria-label\": _ctx.$attrs.ariaLabel,\n    \"aria-roledescription\": _ctx.$attrs.ariaRoledescription\n  }, _objectSpread(_objectSpread({}, _ctx.$attrs.containerProps), $options.getPTOptions('root'))), [_ctx.$attrs.fullScreen ? withDirectives((openBlock(), createElementBlock(\"button\", mergeProps({\n    key: 0,\n    autofocus: \"\",\n    type: \"button\",\n    \"class\": _ctx.cx('closeButton'),\n    \"aria-label\": $options.closeAriaLabel,\n    onClick: _cache[0] || (_cache[0] = function ($event) {\n      return _ctx.$emit('mask-hide');\n    })\n  }, $options.getPTOptions('closeButton')), [(openBlock(), createBlock(resolveDynamicComponent(_ctx.$attrs.templates['closeicon'] || 'TimesIcon'), mergeProps({\n    \"class\": _ctx.cx('closeIcon')\n  }, $options.getPTOptions('closeIcon')), null, 16, [\"class\"]))], 16, _hoisted_2)), [[_directive_ripple]]) : createCommentVNode(\"\", true), _ctx.$attrs.templates && _ctx.$attrs.templates['header'] ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 1,\n    \"class\": _ctx.cx('header')\n  }, $options.getPTOptions('header')), [(openBlock(), createBlock(resolveDynamicComponent(_ctx.$attrs.templates['header'])))], 16)) : createCommentVNode(\"\", true), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('content'),\n    \"aria-live\": _ctx.$attrs.autoPlay ? 'polite' : 'off'\n  }, $options.getPTOptions('content')), [createVNode(_component_GalleriaItem, {\n    id: $data.id,\n    activeIndex: $data.activeIndex,\n    \"onUpdate:activeIndex\": _cache[1] || (_cache[1] = function ($event) {\n      return $data.activeIndex = $event;\n    }),\n    slideShowActive: $data.slideShowActive,\n    \"onUpdate:slideShowActive\": _cache[2] || (_cache[2] = function ($event) {\n      return $data.slideShowActive = $event;\n    }),\n    value: _ctx.$attrs.value,\n    circular: _ctx.$attrs.circular,\n    templates: _ctx.$attrs.templates,\n    showIndicators: _ctx.$attrs.showIndicators,\n    changeItemOnIndicatorHover: _ctx.$attrs.changeItemOnIndicatorHover,\n    showItemNavigators: _ctx.$attrs.showItemNavigators,\n    autoPlay: _ctx.$attrs.autoPlay,\n    onStartSlideshow: $options.startSlideShow,\n    onStopSlideshow: $options.stopSlideShow,\n    pt: _ctx.pt,\n    unstyled: _ctx.unstyled\n  }, null, 8, [\"id\", \"activeIndex\", \"slideShowActive\", \"value\", \"circular\", \"templates\", \"showIndicators\", \"changeItemOnIndicatorHover\", \"showItemNavigators\", \"autoPlay\", \"onStartSlideshow\", \"onStopSlideshow\", \"pt\", \"unstyled\"]), _ctx.$attrs.showThumbnails ? (openBlock(), createBlock(_component_GalleriaThumbnails, {\n    key: 0,\n    activeIndex: $data.activeIndex,\n    \"onUpdate:activeIndex\": _cache[3] || (_cache[3] = function ($event) {\n      return $data.activeIndex = $event;\n    }),\n    slideShowActive: $data.slideShowActive,\n    \"onUpdate:slideShowActive\": _cache[4] || (_cache[4] = function ($event) {\n      return $data.slideShowActive = $event;\n    }),\n    containerId: $data.id,\n    value: _ctx.$attrs.value,\n    templates: _ctx.$attrs.templates,\n    numVisible: $data.numVisible,\n    responsiveOptions: _ctx.$attrs.responsiveOptions,\n    circular: _ctx.$attrs.circular,\n    isVertical: $options.isVertical(),\n    contentHeight: _ctx.$attrs.verticalThumbnailViewPortHeight,\n    showThumbnailNavigators: _ctx.$attrs.showThumbnailNavigators,\n    prevButtonProps: _ctx.$attrs.prevButtonProps,\n    nextButtonProps: _ctx.$attrs.nextButtonProps,\n    onStopSlideshow: $options.stopSlideShow,\n    pt: _ctx.pt,\n    unstyled: _ctx.unstyled\n  }, null, 8, [\"activeIndex\", \"slideShowActive\", \"containerId\", \"value\", \"templates\", \"numVisible\", \"responsiveOptions\", \"circular\", \"isVertical\", \"contentHeight\", \"showThumbnailNavigators\", \"prevButtonProps\", \"nextButtonProps\", \"onStopSlideshow\", \"pt\", \"unstyled\"])) : createCommentVNode(\"\", true)], 16, _hoisted_3), _ctx.$attrs.templates && _ctx.$attrs.templates['footer'] ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 2,\n    \"class\": _ctx.cx('footer')\n  }, $options.getPTOptions('footer')), [(openBlock(), createBlock(resolveDynamicComponent(_ctx.$attrs.templates['footer'])))], 16)) : createCommentVNode(\"\", true)], 16, _hoisted_1$1)) : createCommentVNode(\"\", true);\n}\n\nscript$1.render = render$1;\n\nvar script = {\n  name: 'Galleria',\n  \"extends\": script$4,\n  inheritAttrs: false,\n  emits: ['update:activeIndex', 'update:visible'],\n  container: null,\n  mask: null,\n  data: function data() {\n    return {\n      containerVisible: this.visible\n    };\n  },\n  updated: function updated() {\n    if (this.fullScreen && this.visible) {\n      this.containerVisible = this.visible;\n    }\n  },\n  beforeUnmount: function beforeUnmount() {\n    if (this.fullScreen) {\n      unblockBodyScroll();\n    }\n    this.mask = null;\n    if (this.container) {\n      ZIndex.clear(this.container);\n      this.container = null;\n    }\n  },\n  methods: {\n    onBeforeEnter: function onBeforeEnter(el) {\n      ZIndex.set('modal', el, this.baseZIndex || this.$primevue.config.zIndex.modal);\n    },\n    onEnter: function onEnter(el) {\n      this.mask.style.zIndex = String(parseInt(el.style.zIndex, 10) - 1);\n      blockBodyScroll();\n      this.focus();\n    },\n    onBeforeLeave: function onBeforeLeave() {\n      !this.isUnstyled && addClass(this.mask, 'p-overlay-mask-leave');\n    },\n    onAfterLeave: function onAfterLeave(el) {\n      ZIndex.clear(el);\n      this.containerVisible = false;\n      unblockBodyScroll();\n    },\n    onActiveItemChange: function onActiveItemChange(index) {\n      if (this.activeIndex !== index) {\n        this.$emit('update:activeIndex', index);\n      }\n    },\n    maskHide: function maskHide() {\n      this.$emit('update:visible', false);\n    },\n    containerRef: function containerRef(el) {\n      this.container = el;\n    },\n    maskRef: function maskRef(el) {\n      this.mask = el;\n    },\n    focus: function focus() {\n      var focusTarget = this.container.$el.querySelector('[autofocus]');\n      if (focusTarget) {\n        focusTarget.focus();\n      }\n    }\n  },\n  components: {\n    GalleriaContent: script$1,\n    Portal: Portal\n  },\n  directives: {\n    focustrap: FocusTrap\n  }\n};\n\nvar _hoisted_1 = [\"aria-modal\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_GalleriaContent = resolveComponent(\"GalleriaContent\");\n  var _component_Portal = resolveComponent(\"Portal\");\n  var _directive_focustrap = resolveDirective(\"focustrap\");\n  return _ctx.fullScreen ? (openBlock(), createBlock(_component_Portal, {\n    key: 0\n  }, {\n    \"default\": withCtx(function () {\n      return [$data.containerVisible ? (openBlock(), createElementBlock(\"div\", mergeProps({\n        key: 0,\n        ref: $options.maskRef,\n        \"class\": [_ctx.cx('mask'), _ctx.maskClass],\n        role: \"dialog\",\n        \"aria-modal\": _ctx.fullScreen ? 'true' : undefined\n      }, _ctx.ptm('mask')), [createVNode(Transition, mergeProps({\n        name: \"p-galleria\",\n        onBeforeEnter: $options.onBeforeEnter,\n        onEnter: $options.onEnter,\n        onBeforeLeave: $options.onBeforeLeave,\n        onAfterLeave: $options.onAfterLeave,\n        appear: \"\"\n      }, _ctx.ptm('transition')), {\n        \"default\": withCtx(function () {\n          return [_ctx.visible ? withDirectives((openBlock(), createBlock(_component_GalleriaContent, mergeProps({\n            key: 0,\n            ref: $options.containerRef,\n            onMaskHide: $options.maskHide,\n            templates: _ctx.$slots,\n            onActiveitemChange: $options.onActiveItemChange,\n            pt: _ctx.pt,\n            unstyled: _ctx.unstyled\n          }, _ctx.$props), null, 16, [\"onMaskHide\", \"templates\", \"onActiveitemChange\", \"pt\", \"unstyled\"])), [[_directive_focustrap]]) : createCommentVNode(\"\", true)];\n        }),\n        _: 1\n      }, 16, [\"onBeforeEnter\", \"onEnter\", \"onBeforeLeave\", \"onAfterLeave\"])], 16, _hoisted_1)) : createCommentVNode(\"\", true)];\n    }),\n    _: 1\n  })) : (openBlock(), createBlock(_component_GalleriaContent, mergeProps({\n    key: 1,\n    templates: _ctx.$slots,\n    onActiveitemChange: $options.onActiveItemChange,\n    pt: _ctx.pt,\n    unstyled: _ctx.unstyled\n  }, _ctx.$props), null, 16, [\"templates\", \"onActiveitemChange\", \"pt\", \"unstyled\"]));\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <Galleria\n    v-model:visible=\"galleryVisible\"\n    @update:visible=\"handleVisibilityChange\"\n    :activeIndex=\"activeIndex\"\n    @update:activeIndex=\"handleActiveIndexChange\"\n    :value=\"allGalleryItems\"\n    :showIndicators=\"false\"\n    changeItemOnIndicatorHover\n    showItemNavigators\n    fullScreen\n    circular\n    :showThumbnails=\"false\"\n  >\n    <template #item=\"{ item }\">\n      <ComfyImage\n        :key=\"item.url\"\n        :src=\"item.url\"\n        :contain=\"false\"\n        class=\"galleria-image\"\n      />\n    </template>\n  </Galleria>\n</template>\n\n<script setup lang=\"ts\">\nimport { defineProps, ref, watch, onMounted, onUnmounted } from 'vue'\nimport Galleria from 'primevue/galleria'\nimport { ResultItemImpl } from '@/stores/queueStore'\nimport ComfyImage from '@/components/common/ComfyImage.vue'\n\nconst galleryVisible = ref(false)\n\nconst emit = defineEmits<{\n  (e: 'update:activeIndex', value: number): void\n}>()\n\nconst props = defineProps<{\n  allGalleryItems: ResultItemImpl[]\n  activeIndex: number\n}>()\n\nwatch(\n  () => props.activeIndex,\n  (index) => {\n    if (index !== -1) {\n      galleryVisible.value = true\n    }\n  }\n)\n\nconst handleVisibilityChange = (visible: boolean) => {\n  if (!visible) {\n    emit('update:activeIndex', -1)\n  }\n}\n\nconst handleActiveIndexChange = (index: number) => {\n  emit('update:activeIndex', index)\n}\n\nconst handleKeyDown = (event: KeyboardEvent) => {\n  if (!galleryVisible.value) return\n\n  switch (event.key) {\n    case 'ArrowLeft':\n      navigateImage(-1)\n      break\n    case 'ArrowRight':\n      navigateImage(1)\n      break\n    case 'Escape':\n      galleryVisible.value = false\n      handleVisibilityChange(false)\n      break\n  }\n}\n\nconst navigateImage = (direction: number) => {\n  const newIndex =\n    (props.activeIndex + direction + props.allGalleryItems.length) %\n    props.allGalleryItems.length\n  emit('update:activeIndex', newIndex)\n}\n\nonMounted(() => {\n  window.addEventListener('keydown', handleKeyDown)\n})\n\nonUnmounted(() => {\n  window.removeEventListener('keydown', handleKeyDown)\n})\n</script>\n\n<style>\n/* PrimeVue's galleria teleports the fullscreen gallery out of subtree so we\ncannot use scoped style here. */\nimg.galleria-image {\n  max-width: 100vw;\n  max-height: 100vh;\n  object-fit: contain;\n}\n\n.p-galleria-close-button {\n  /* Set z-index so the close button doesn't get hidden behind the image when image is large */\n  z-index: 1;\n}\n</style>\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-toolbar {\\n    display: flex;\\n    align-items: center;\\n    justify-content: space-between;\\n    flex-wrap: wrap;\\n    padding: \".concat(dt('toolbar.padding'), \";\\n    background: \").concat(dt('toolbar.background'), \";\\n    border: 1px solid \").concat(dt('toolbar.border.color'), \";\\n    color: \").concat(dt('toolbar.color'), \";\\n    border-radius: \").concat(dt('toolbar.border.radius'), \";\\n    gap: \").concat(dt('toolbar.gap'), \";\\n}\\n\\n.p-toolbar-start,\\n.p-toolbar-center,\\n.p-toolbar-end {\\n    display: flex;\\n    align-items: center;\\n}\\n\");\n};\nvar classes = {\n  root: 'p-toolbar p-component',\n  start: 'p-toolbar-start',\n  center: 'p-toolbar-center',\n  end: 'p-toolbar-end'\n};\nvar ToolbarStyle = BaseStyle.extend({\n  name: 'toolbar',\n  theme: theme,\n  classes: classes\n});\n\nexport { ToolbarStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseComponent from '@primevue/core/basecomponent';\nimport ToolbarStyle from 'primevue/toolbar/style';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode, renderSlot } from 'vue';\n\nvar script$1 = {\n  name: 'BaseToolbar',\n  \"extends\": BaseComponent,\n  props: {\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: ToolbarStyle,\n  provide: function provide() {\n    return {\n      $pcToolbar: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'Toolbar',\n  \"extends\": script$1,\n  inheritAttrs: false\n};\n\nvar _hoisted_1 = [\"aria-labelledby\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root'),\n    role: \"toolbar\",\n    \"aria-labelledby\": _ctx.ariaLabelledby\n  }, _ctx.ptmi('root')), [createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('start')\n  }, _ctx.ptm('start')), [renderSlot(_ctx.$slots, \"start\")], 16), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('center')\n  }, _ctx.ptm('center')), [renderSlot(_ctx.$slots, \"center\")], 16), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('end')\n  }, _ctx.ptm('end')), [renderSlot(_ctx.$slots, \"end\")], 16)], 16, _hoisted_1);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <div class=\"comfy-vue-side-bar-container\">\n    <Toolbar class=\"comfy-vue-side-bar-header\">\n      <template #start>\n        <span class=\"comfy-vue-side-bar-header-span\">{{\n          props.title.toUpperCase()\n        }}</span>\n      </template>\n      <template #end>\n        <slot name=\"tool-buttons\"></slot>\n      </template>\n    </Toolbar>\n    <div class=\"comfy-vue-side-bar-body\">\n      <slot name=\"body\"></slot>\n    </div>\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport Toolbar from 'primevue/toolbar'\n\nconst props = defineProps({\n  title: {\n    type: String,\n    required: true\n  }\n})\n</script>\n\n<style scoped>\n.comfy-vue-side-bar-container {\n  display: flex;\n  flex-direction: column;\n  height: 100%;\n  overflow: hidden;\n}\n\n.comfy-vue-side-bar-header {\n  flex-shrink: 0;\n  border-left: none;\n  border-right: none;\n  border-top: none;\n  border-radius: 0;\n  padding: 0.25rem 1rem;\n  min-height: 2.5rem;\n}\n\n.comfy-vue-side-bar-header-span {\n  font-size: small;\n}\n\n.comfy-vue-side-bar-body {\n  flex-grow: 1;\n  overflow: auto;\n  scrollbar-width: thin;\n  scrollbar-color: transparent transparent;\n}\n\n.comfy-vue-side-bar-body::-webkit-scrollbar {\n  width: 1px;\n}\n\n.comfy-vue-side-bar-body::-webkit-scrollbar-thumb {\n  background-color: transparent;\n}\n</style>\n","<template>\n  <SidebarTabTemplate :title=\"$t('sideToolbar.queue')\">\n    <template #tool-buttons>\n      <Button\n        :icon=\"\n          imageFit === 'cover'\n            ? 'pi pi-arrow-down-left-and-arrow-up-right-to-center'\n            : 'pi pi-arrow-up-right-and-arrow-down-left-from-center'\n        \"\n        text\n        severity=\"secondary\"\n        @click=\"toggleImageFit\"\n        class=\"toggle-expanded-button\"\n        v-tooltip=\"$t(`sideToolbar.queueTab.${imageFit}ImagePreview`)\"\n      />\n      <Button\n        v-if=\"isInFolderView\"\n        icon=\"pi pi-arrow-left\"\n        text\n        severity=\"secondary\"\n        @click=\"exitFolderView\"\n        class=\"back-button\"\n        v-tooltip=\"$t('sideToolbar.queueTab.backToAllTasks')\"\n      />\n      <template v-else>\n        <Button\n          :icon=\"isExpanded ? 'pi pi-images' : 'pi pi-image'\"\n          text\n          severity=\"secondary\"\n          @click=\"toggleExpanded\"\n          class=\"toggle-expanded-button\"\n          v-tooltip=\"$t('sideToolbar.queueTab.showFlatList')\"\n        />\n        <Button\n          icon=\"pi pi-trash\"\n          text\n          severity=\"primary\"\n          @click=\"confirmRemoveAll($event)\"\n          class=\"clear-all-button\"\n        />\n      </template>\n    </template>\n    <template #body>\n      <div\n        v-if=\"visibleTasks.length > 0\"\n        ref=\"scrollContainer\"\n        class=\"scroll-container\"\n      >\n        <div class=\"queue-grid\">\n          <TaskItem\n            v-for=\"task in visibleTasks\"\n            :key=\"task.key\"\n            :task=\"task\"\n            :isFlatTask=\"isExpanded || isInFolderView\"\n            @contextmenu=\"handleContextMenu\"\n            @preview=\"handlePreview\"\n            @taskOutputLengthClicked=\"enterFolderView($event)\"\n          />\n        </div>\n        <div ref=\"loadMoreTrigger\" style=\"height: 1px\" />\n      </div>\n      <div v-else-if=\"queueStore.isLoading\">\n        <ProgressSpinner\n          style=\"width: 50px; left: 50%; transform: translateX(-50%)\"\n        />\n      </div>\n      <div v-else>\n        <NoResultsPlaceholder\n          icon=\"pi pi-info-circle\"\n          :title=\"$t('noTasksFound')\"\n          :message=\"$t('noTasksFoundMessage')\"\n        />\n      </div>\n    </template>\n  </SidebarTabTemplate>\n  <ConfirmPopup />\n  <ContextMenu ref=\"menu\" :model=\"menuItems\" />\n  <ResultGallery\n    v-model:activeIndex=\"galleryActiveIndex\"\n    :allGalleryItems=\"allGalleryItems\"\n  />\n</template>\n\n<script setup lang=\"ts\">\nimport { ref, computed, onMounted, onUnmounted, watch, nextTick } from 'vue'\nimport { useInfiniteScroll, useResizeObserver } from '@vueuse/core'\nimport { useI18n } from 'vue-i18n'\nimport { useConfirm } from 'primevue/useconfirm'\nimport { useToast } from 'primevue/usetoast'\nimport Button from 'primevue/button'\nimport ConfirmPopup from 'primevue/confirmpopup'\nimport ContextMenu from 'primevue/contextmenu'\nimport type { MenuItem } from 'primevue/menuitem'\nimport ProgressSpinner from 'primevue/progressspinner'\nimport TaskItem from './queue/TaskItem.vue'\nimport ResultGallery from './queue/ResultGallery.vue'\nimport SidebarTabTemplate from './SidebarTabTemplate.vue'\nimport NoResultsPlaceholder from '@/components/common/NoResultsPlaceholder.vue'\nimport { TaskItemImpl, useQueueStore } from '@/stores/queueStore'\nimport { api } from '@/scripts/api'\nimport { ComfyNode } from '@/types/comfyWorkflow'\nimport { useSettingStore } from '@/stores/settingStore'\nimport { app } from '@/scripts/app'\n\nconst IMAGE_FIT = 'Comfy.Queue.ImageFit'\nconst confirm = useConfirm()\nconst toast = useToast()\nconst queueStore = useQueueStore()\nconst settingStore = useSettingStore()\nconst { t } = useI18n()\n\n// Expanded view: show all outputs in a flat list.\nconst isExpanded = ref(false)\nconst visibleTasks = ref<TaskItemImpl[]>([])\nconst scrollContainer = ref<HTMLElement | null>(null)\nconst loadMoreTrigger = ref<HTMLElement | null>(null)\nconst galleryActiveIndex = ref(-1)\n// Folder view: only show outputs from a single selected task.\nconst folderTask = ref<TaskItemImpl | null>(null)\nconst isInFolderView = computed(() => folderTask.value !== null)\nconst imageFit = computed<string>(() => settingStore.get(IMAGE_FIT))\n\nconst ITEMS_PER_PAGE = 8\nconst SCROLL_THRESHOLD = 100 // pixels from bottom to trigger load\n\nconst allTasks = computed(() =>\n  isInFolderView.value\n    ? folderTask.value\n      ? folderTask.value.flatten()\n      : []\n    : isExpanded.value\n      ? queueStore.flatTasks\n      : queueStore.tasks\n)\nconst allGalleryItems = computed(() =>\n  allTasks.value.flatMap((task: TaskItemImpl) => {\n    const previewOutput = task.previewOutput\n    return previewOutput ? [previewOutput] : []\n  })\n)\n\nconst loadMoreItems = () => {\n  const currentLength = visibleTasks.value.length\n  const newTasks = allTasks.value.slice(\n    currentLength,\n    currentLength + ITEMS_PER_PAGE\n  )\n  visibleTasks.value.push(...newTasks)\n}\n\nconst checkAndLoadMore = () => {\n  if (!scrollContainer.value) return\n\n  const { scrollHeight, scrollTop, clientHeight } = scrollContainer.value\n  if (scrollHeight - scrollTop - clientHeight < SCROLL_THRESHOLD) {\n    loadMoreItems()\n  }\n}\n\nuseInfiniteScroll(\n  scrollContainer,\n  () => {\n    if (visibleTasks.value.length < allTasks.value.length) {\n      loadMoreItems()\n    }\n  },\n  { distance: SCROLL_THRESHOLD }\n)\n\n// Use ResizeObserver to detect container size changes\n// This is necessary as the sidebar tab can change size when user drags the splitter.\nuseResizeObserver(scrollContainer, () => {\n  nextTick(() => {\n    checkAndLoadMore()\n  })\n})\n\nconst updateVisibleTasks = () => {\n  visibleTasks.value = allTasks.value.slice(0, ITEMS_PER_PAGE)\n}\n\nconst toggleExpanded = () => {\n  isExpanded.value = !isExpanded.value\n  updateVisibleTasks()\n}\n\nconst removeTask = (task: TaskItemImpl) => {\n  if (task.isRunning) {\n    api.interrupt()\n  }\n  queueStore.delete(task)\n}\n\nconst removeAllTasks = async () => {\n  await queueStore.clear()\n}\n\nconst confirmRemoveAll = (event: Event) => {\n  confirm.require({\n    target: event.currentTarget as HTMLElement,\n    message: 'Do you want to delete all tasks?',\n    icon: 'pi pi-info-circle',\n    rejectProps: {\n      label: 'Cancel',\n      severity: 'secondary',\n      outlined: true\n    },\n    acceptProps: {\n      label: 'Delete',\n      severity: 'danger'\n    },\n    accept: async () => {\n      await removeAllTasks()\n      toast.add({\n        severity: 'info',\n        summary: 'Confirmed',\n        detail: 'Tasks deleted',\n        life: 3000\n      })\n    }\n  })\n}\n\nconst onStatus = async () => {\n  await queueStore.update()\n  updateVisibleTasks()\n}\n\nconst menu = ref(null)\nconst menuTargetTask = ref<TaskItemImpl | null>(null)\nconst menuTargetNode = ref<ComfyNode | null>(null)\nconst menuItems = computed<MenuItem[]>(() => [\n  {\n    label: t('delete'),\n    icon: 'pi pi-trash',\n    command: () => menuTargetTask.value && removeTask(menuTargetTask.value),\n    disabled: isExpanded.value || isInFolderView.value\n  },\n  {\n    label: t('loadWorkflow'),\n    icon: 'pi pi-file-export',\n    command: () => menuTargetTask.value?.loadWorkflow()\n  },\n  {\n    label: t('goToNode'),\n    icon: 'pi pi-arrow-circle-right',\n    command: () => app.goToNode(menuTargetNode.value?.id),\n    visible: !!menuTargetNode.value\n  }\n])\n\nconst handleContextMenu = ({\n  task,\n  event,\n  node\n}: {\n  task: TaskItemImpl\n  event: Event\n  node?: ComfyNode\n}) => {\n  menuTargetTask.value = task\n  menuTargetNode.value = node\n  menu.value?.show(event)\n}\n\nconst handlePreview = (task: TaskItemImpl) => {\n  galleryActiveIndex.value = allGalleryItems.value.findIndex(\n    (item) => item.url === task.previewOutput?.url\n  )\n}\n\nconst enterFolderView = (task: TaskItemImpl) => {\n  folderTask.value = task\n  updateVisibleTasks()\n}\n\nconst exitFolderView = () => {\n  folderTask.value = null\n  updateVisibleTasks()\n}\n\nconst toggleImageFit = () => {\n  settingStore.set(IMAGE_FIT, imageFit.value === 'cover' ? 'contain' : 'cover')\n}\n\nonMounted(() => {\n  api.addEventListener('status', onStatus)\n  queueStore.update()\n})\n\nonUnmounted(() => {\n  api.removeEventListener('status', onStatus)\n})\n\n// Watch for changes in allTasks and reset visibleTasks if necessary\nwatch(\n  allTasks,\n  (newTasks) => {\n    if (\n      visibleTasks.value.length === 0 ||\n      visibleTasks.value.length > newTasks.length\n    ) {\n      updateVisibleTasks()\n    }\n\n    nextTick(() => {\n      checkAndLoadMore()\n    })\n  },\n  { immediate: true }\n)\n</script>\n\n<style scoped>\n.scroll-container {\n  height: 100%;\n  overflow-y: auto;\n}\n\n.queue-grid {\n  display: grid;\n  grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));\n  padding: 0.5rem;\n  gap: 0.5rem;\n}\n</style>\n","import { defineStore } from 'pinia'\nimport { computed } from 'vue'\nimport { useSettingStore } from './settingStore'\nimport { useNodeDefStore } from './nodeDefStore'\nimport { ComfyNodeDefImpl, createDummyFolderNodeDef } from './nodeDefStore'\nimport { buildNodeDefTree } from './nodeDefStore'\nimport type { TreeNode } from 'primevue/treenode'\nimport _ from 'lodash'\nimport type { BookmarkCustomization } from '@/types/apiTypes'\n\nexport const useNodeBookmarkStore = defineStore('nodeBookmark', () => {\n  const settingStore = useSettingStore()\n  const nodeDefStore = useNodeDefStore()\n\n  const bookmarks = computed<string[]>(() =>\n    settingStore.get('Comfy.NodeLibrary.Bookmarks')\n  )\n\n  const bookmarksSet = computed<Set<string>>(() => new Set(bookmarks.value))\n\n  const bookmarkedRoot = computed<TreeNode>(() =>\n    buildBookmarkTree(bookmarks.value)\n  )\n\n  // For a node in custom bookmark folders, check if its nodePath is in bookmarksSet\n  // For a node in the nodeDefStore, check if its name is bookmarked at top level\n  const isBookmarked = (node: ComfyNodeDefImpl) =>\n    bookmarksSet.value.has(node.nodePath) ||\n    bookmarksSet.value.has(node.display_name)\n\n  const toggleBookmark = (node: ComfyNodeDefImpl) => {\n    if (isBookmarked(node)) {\n      deleteBookmark(node.nodePath)\n      // Delete the bookmark at the top level if it exists\n      // This is used for clicking the bookmark button in the node library, i.e.\n      // the node is inside original/standard node library tree node\n      deleteBookmark(node.display_name)\n    } else {\n      addBookmark(node.display_name)\n    }\n  }\n\n  const buildBookmarkTree = (bookmarks: string[]) => {\n    const bookmarkNodes = bookmarks\n      .map((bookmark: string) => {\n        if (bookmark.endsWith('/')) return createDummyFolderNodeDef(bookmark)\n\n        const parts = bookmark.split('/')\n        const displayName = parts.pop()\n        const category = parts.join('/')\n        const srcNodeDef = nodeDefStore.nodeDefsByDisplayName[displayName]\n        if (!srcNodeDef) {\n          return null\n        }\n        const nodeDef = _.clone(srcNodeDef)\n        nodeDef.category = category\n        return nodeDef\n      })\n      .filter((nodeDef) => nodeDef !== null)\n    return buildNodeDefTree(bookmarkNodes)\n  }\n\n  const addBookmark = (nodePath: string) => {\n    settingStore.set('Comfy.NodeLibrary.Bookmarks', [\n      ...bookmarks.value,\n      nodePath\n    ])\n  }\n\n  const deleteBookmark = (nodePath: string) => {\n    settingStore.set(\n      'Comfy.NodeLibrary.Bookmarks',\n      bookmarks.value.filter((b: string) => b !== nodePath)\n    )\n  }\n\n  const addNewBookmarkFolder = (parent?: ComfyNodeDefImpl) => {\n    const parentPath = parent ? parent.nodePath : ''\n    let newFolderPath = parentPath + 'New Folder/'\n    let suffix = 1\n    while (bookmarks.value.some((b: string) => b.startsWith(newFolderPath))) {\n      newFolderPath = parentPath + `New Folder ${suffix}/`\n      suffix++\n    }\n    addBookmark(newFolderPath)\n    return newFolderPath\n  }\n\n  const renameBookmarkFolder = (\n    folderNode: ComfyNodeDefImpl,\n    newName: string\n  ) => {\n    if (!folderNode.isDummyFolder) {\n      throw new Error('Cannot rename non-folder node')\n    }\n\n    const newNodePath =\n      folderNode.category.split('/').slice(0, -1).concat(newName).join('/') +\n      '/'\n\n    if (newNodePath === folderNode.nodePath) {\n      return\n    }\n\n    if (bookmarks.value.some((b: string) => b.startsWith(newNodePath))) {\n      throw new Error(`Folder name \"${newNodePath}\" already exists`)\n    }\n\n    settingStore.set(\n      'Comfy.NodeLibrary.Bookmarks',\n      bookmarks.value.map((b: string) =>\n        b.startsWith(folderNode.nodePath)\n          ? b.replace(folderNode.nodePath, newNodePath)\n          : b\n      )\n    )\n    renameBookmarkCustomization(folderNode.nodePath, newNodePath)\n  }\n\n  const deleteBookmarkFolder = (folderNode: ComfyNodeDefImpl) => {\n    if (!folderNode.isDummyFolder) {\n      throw new Error('Cannot delete non-folder node')\n    }\n    settingStore.set(\n      'Comfy.NodeLibrary.Bookmarks',\n      bookmarks.value.filter(\n        (b: string) =>\n          b !== folderNode.nodePath && !b.startsWith(folderNode.nodePath)\n      )\n    )\n    deleteBookmarkCustomization(folderNode.nodePath)\n  }\n\n  const bookmarksCustomization = computed<\n    Record<string, BookmarkCustomization>\n  >(() => settingStore.get('Comfy.NodeLibrary.BookmarksCustomization'))\n\n  const updateBookmarkCustomization = (\n    nodePath: string,\n    customization: BookmarkCustomization\n  ) => {\n    const currentCustomization = bookmarksCustomization.value[nodePath] || {}\n    const newCustomization = { ...currentCustomization, ...customization }\n\n    // Remove attributes that are set to default values\n    if (newCustomization.icon === defaultBookmarkIcon) {\n      delete newCustomization.icon\n    }\n    if (newCustomization.color === defaultBookmarkColor) {\n      delete newCustomization.color\n    }\n\n    // If the customization is empty, remove it entirely\n    if (Object.keys(newCustomization).length === 0) {\n      deleteBookmarkCustomization(nodePath)\n    } else {\n      settingStore.set('Comfy.NodeLibrary.BookmarksCustomization', {\n        ...bookmarksCustomization.value,\n        [nodePath]: newCustomization\n      })\n    }\n  }\n\n  const deleteBookmarkCustomization = (nodePath: string) => {\n    settingStore.set('Comfy.NodeLibrary.BookmarksCustomization', {\n      ...bookmarksCustomization.value,\n      [nodePath]: undefined\n    })\n  }\n\n  const renameBookmarkCustomization = (\n    oldNodePath: string,\n    newNodePath: string\n  ) => {\n    const updatedCustomization = { ...bookmarksCustomization.value }\n    if (updatedCustomization[oldNodePath]) {\n      updatedCustomization[newNodePath] = updatedCustomization[oldNodePath]\n      delete updatedCustomization[oldNodePath]\n    }\n    settingStore.set(\n      'Comfy.NodeLibrary.BookmarksCustomization',\n      updatedCustomization\n    )\n  }\n\n  const defaultBookmarkIcon = 'pi-bookmark-fill'\n  const defaultBookmarkColor = '#a1a1aa'\n\n  return {\n    bookmarks,\n    bookmarkedRoot,\n    isBookmarked,\n    toggleBookmark,\n    addBookmark,\n    addNewBookmarkFolder,\n    renameBookmarkFolder,\n    deleteBookmarkFolder,\n\n    bookmarksCustomization,\n    updateBookmarkCustomization,\n    deleteBookmarkCustomization,\n    renameBookmarkCustomization,\n    defaultBookmarkIcon,\n    defaultBookmarkColor\n  }\n})\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-popover {\\n    margin-top: \".concat(dt('popover.gutter'), \";\\n    background: \").concat(dt('popover.background'), \";\\n    color: \").concat(dt('popover.color'), \";\\n    border: 1px solid \").concat(dt('popover.border.color'), \";\\n    border-radius: \").concat(dt('popover.border.radius'), \";\\n    box-shadow: \").concat(dt('popover.shadow'), \";\\n}\\n\\n.p-popover-content {\\n    padding: \").concat(dt('popover.content.padding'), \";\\n}\\n\\n.p-popover-flipped {\\n    margin-top: calc(\").concat(dt('popover.gutter'), \" * -1);\\n    margin-bottom: \").concat(dt('popover.gutter'), \";\\n}\\n\\n.p-popover-enter-from {\\n    opacity: 0;\\n    transform: scaleY(0.8);\\n}\\n\\n.p-popover-leave-to {\\n    opacity: 0;\\n}\\n\\n.p-popover-enter-active {\\n    transition: transform 0.12s cubic-bezier(0, 0, 0.2, 1), opacity 0.12s cubic-bezier(0, 0, 0.2, 1);\\n}\\n\\n.p-popover-leave-active {\\n    transition: opacity 0.1s linear;\\n}\\n\\n.p-popover:after,\\n.p-popover:before {\\n    bottom: 100%;\\n    left: \").concat(dt('popover.arrow.offset'), \";\\n    content: \\\" \\\";\\n    height: 0;\\n    width: 0;\\n    position: absolute;\\n    pointer-events: none;\\n}\\n\\n.p-popover:after {\\n    border-width: calc(\").concat(dt('popover.gutter'), \" - 2px);\\n    margin-left: calc(-1 * (\").concat(dt('popover.gutter'), \" - 2px));\\n    border-style: solid;\\n    border-color: transparent;\\n    border-bottom-color: \").concat(dt('popover.background'), \";\\n}\\n\\n.p-popover:before {\\n    border-width: \").concat(dt('popover.gutter'), \";\\n    margin-left: calc(-1 * \").concat(dt('popover.gutter'), \");\\n    border-style: solid;\\n    border-color: transparent;\\n    border-bottom-color: \").concat(dt('popover.border.color'), \";\\n}\\n\\n.p-popover-flipped:after,\\n.p-popover-flipped:before {\\n    bottom: auto;\\n    top: 100%;\\n}\\n\\n.p-popover.p-popover-flipped:after {\\n    border-bottom-color: transparent;\\n    border-top-color: \").concat(dt('popover.background'), \";\\n}\\n\\n.p-popover.p-popover-flipped:before {\\n    border-bottom-color: transparent;\\n    border-top-color: \").concat(dt('popover.border.color'), \";\\n}\\n\");\n};\nvar classes = {\n  root: 'p-popover p-component',\n  content: 'p-popover-content'\n};\nvar PopoverStyle = BaseStyle.extend({\n  name: 'popover',\n  theme: theme,\n  classes: classes\n});\n\nexport { PopoverStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { ConnectedOverlayScrollHandler, UniqueComponentId } from '@primevue/core/utils';\nimport { addStyle, absolutePosition, getOffset, addClass, focus, isClient, isTouchDevice, setAttribute } from '@primeuix/utils/dom';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport { $dt } from '@primeuix/styled';\nimport FocusTrap from 'primevue/focustrap';\nimport OverlayEventBus from 'primevue/overlayeventbus';\nimport Portal from 'primevue/portal';\nimport Ripple from 'primevue/ripple';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport PopoverStyle from 'primevue/popover/style';\nimport { resolveComponent, resolveDirective, openBlock, createBlock, withCtx, createVNode, Transition, mergeProps, withDirectives, createElementBlock, renderSlot, createCommentVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BasePopover',\n  \"extends\": BaseComponent,\n  props: {\n    dismissable: {\n      type: Boolean,\n      \"default\": true\n    },\n    appendTo: {\n      type: [String, Object],\n      \"default\": 'body'\n    },\n    baseZIndex: {\n      type: Number,\n      \"default\": 0\n    },\n    autoZIndex: {\n      type: Boolean,\n      \"default\": true\n    },\n    breakpoints: {\n      type: Object,\n      \"default\": null\n    },\n    closeOnEscape: {\n      type: Boolean,\n      \"default\": true\n    }\n  },\n  style: PopoverStyle,\n  provide: function provide() {\n    return {\n      $pcPopover: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'Popover',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['show', 'hide'],\n  data: function data() {\n    return {\n      visible: false\n    };\n  },\n  watch: {\n    dismissable: {\n      immediate: true,\n      handler: function handler(newValue) {\n        if (newValue) {\n          this.bindOutsideClickListener();\n        } else {\n          this.unbindOutsideClickListener();\n        }\n      }\n    }\n  },\n  selfClick: false,\n  target: null,\n  eventTarget: null,\n  outsideClickListener: null,\n  scrollHandler: null,\n  resizeListener: null,\n  container: null,\n  styleElement: null,\n  overlayEventListener: null,\n  documentKeydownListener: null,\n  beforeUnmount: function beforeUnmount() {\n    if (this.dismissable) {\n      this.unbindOutsideClickListener();\n    }\n    if (this.scrollHandler) {\n      this.scrollHandler.destroy();\n      this.scrollHandler = null;\n    }\n    this.destroyStyle();\n    this.unbindResizeListener();\n    this.target = null;\n    if (this.container && this.autoZIndex) {\n      ZIndex.clear(this.container);\n    }\n    if (this.overlayEventListener) {\n      OverlayEventBus.off('overlay-click', this.overlayEventListener);\n      this.overlayEventListener = null;\n    }\n    this.container = null;\n  },\n  mounted: function mounted() {\n    if (this.breakpoints) {\n      this.createStyle();\n    }\n  },\n  methods: {\n    toggle: function toggle(event, target) {\n      if (this.visible) this.hide();else this.show(event, target);\n    },\n    show: function show(event, target) {\n      this.visible = true;\n      this.eventTarget = event.currentTarget;\n      this.target = target || event.currentTarget;\n    },\n    hide: function hide() {\n      this.visible = false;\n    },\n    onContentClick: function onContentClick() {\n      this.selfClick = true;\n    },\n    onEnter: function onEnter(el) {\n      var _this = this;\n      this.container.setAttribute(this.attributeSelector, '');\n      addStyle(el, {\n        position: 'absolute',\n        top: '0',\n        left: '0'\n      });\n      this.alignOverlay();\n      if (this.dismissable) {\n        this.bindOutsideClickListener();\n      }\n      this.bindScrollListener();\n      this.bindResizeListener();\n      if (this.autoZIndex) {\n        ZIndex.set('overlay', el, this.baseZIndex + this.$primevue.config.zIndex.overlay);\n      }\n      this.overlayEventListener = function (e) {\n        if (_this.container.contains(e.target)) {\n          _this.selfClick = true;\n        }\n      };\n      this.focus();\n      OverlayEventBus.on('overlay-click', this.overlayEventListener);\n      this.$emit('show');\n      if (this.closeOnEscape) {\n        this.bindDocumentKeyDownListener();\n      }\n    },\n    onLeave: function onLeave() {\n      this.unbindOutsideClickListener();\n      this.unbindScrollListener();\n      this.unbindResizeListener();\n      this.unbindDocumentKeyDownListener();\n      OverlayEventBus.off('overlay-click', this.overlayEventListener);\n      this.overlayEventListener = null;\n      this.$emit('hide');\n    },\n    onAfterLeave: function onAfterLeave(el) {\n      if (this.autoZIndex) {\n        ZIndex.clear(el);\n      }\n    },\n    alignOverlay: function alignOverlay() {\n      absolutePosition(this.container, this.target, false);\n      var containerOffset = getOffset(this.container);\n      var targetOffset = getOffset(this.target);\n      var arrowLeft = 0;\n      if (containerOffset.left < targetOffset.left) {\n        arrowLeft = targetOffset.left - containerOffset.left;\n      }\n      this.container.style.setProperty($dt('popover.arrow.left').name, \"\".concat(arrowLeft, \"px\"));\n      if (containerOffset.top < targetOffset.top) {\n        this.container.setAttribute('data-p-popover-flipped', 'true');\n        !this.isUnstyled && addClass(this.container, 'p-popover-flipped');\n      }\n    },\n    onContentKeydown: function onContentKeydown(event) {\n      if (event.code === 'Escape' && this.closeOnEscape) {\n        this.hide();\n        focus(this.target);\n      }\n    },\n    onButtonKeydown: function onButtonKeydown(event) {\n      switch (event.code) {\n        case 'ArrowDown':\n        case 'ArrowUp':\n        case 'ArrowLeft':\n        case 'ArrowRight':\n          event.preventDefault();\n      }\n    },\n    focus: function focus() {\n      var focusTarget = this.container.querySelector('[autofocus]');\n      if (focusTarget) {\n        focusTarget.focus();\n      }\n    },\n    onKeyDown: function onKeyDown(event) {\n      if (event.code === 'Escape' && this.closeOnEscape) {\n        this.visible = false;\n      }\n    },\n    bindDocumentKeyDownListener: function bindDocumentKeyDownListener() {\n      if (!this.documentKeydownListener) {\n        this.documentKeydownListener = this.onKeyDown.bind(this);\n        window.document.addEventListener('keydown', this.documentKeydownListener);\n      }\n    },\n    unbindDocumentKeyDownListener: function unbindDocumentKeyDownListener() {\n      if (this.documentKeydownListener) {\n        window.document.removeEventListener('keydown', this.documentKeydownListener);\n        this.documentKeydownListener = null;\n      }\n    },\n    bindOutsideClickListener: function bindOutsideClickListener() {\n      var _this2 = this;\n      if (!this.outsideClickListener && isClient()) {\n        this.outsideClickListener = function (event) {\n          if (_this2.visible && !_this2.selfClick && !_this2.isTargetClicked(event)) {\n            _this2.visible = false;\n          }\n          _this2.selfClick = false;\n        };\n        document.addEventListener('click', this.outsideClickListener);\n      }\n    },\n    unbindOutsideClickListener: function unbindOutsideClickListener() {\n      if (this.outsideClickListener) {\n        document.removeEventListener('click', this.outsideClickListener);\n        this.outsideClickListener = null;\n        this.selfClick = false;\n      }\n    },\n    bindScrollListener: function bindScrollListener() {\n      var _this3 = this;\n      if (!this.scrollHandler) {\n        this.scrollHandler = new ConnectedOverlayScrollHandler(this.target, function () {\n          if (_this3.visible) {\n            _this3.visible = false;\n          }\n        });\n      }\n      this.scrollHandler.bindScrollListener();\n    },\n    unbindScrollListener: function unbindScrollListener() {\n      if (this.scrollHandler) {\n        this.scrollHandler.unbindScrollListener();\n      }\n    },\n    bindResizeListener: function bindResizeListener() {\n      var _this4 = this;\n      if (!this.resizeListener) {\n        this.resizeListener = function () {\n          if (_this4.visible && !isTouchDevice()) {\n            _this4.visible = false;\n          }\n        };\n        window.addEventListener('resize', this.resizeListener);\n      }\n    },\n    unbindResizeListener: function unbindResizeListener() {\n      if (this.resizeListener) {\n        window.removeEventListener('resize', this.resizeListener);\n        this.resizeListener = null;\n      }\n    },\n    isTargetClicked: function isTargetClicked(event) {\n      return this.eventTarget && (this.eventTarget === event.target || this.eventTarget.contains(event.target));\n    },\n    containerRef: function containerRef(el) {\n      this.container = el;\n    },\n    createStyle: function createStyle() {\n      if (!this.styleElement && !this.isUnstyled) {\n        var _this$$primevue;\n        this.styleElement = document.createElement('style');\n        this.styleElement.type = 'text/css';\n        setAttribute(this.styleElement, 'nonce', (_this$$primevue = this.$primevue) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.config) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.csp) === null || _this$$primevue === void 0 ? void 0 : _this$$primevue.nonce);\n        document.head.appendChild(this.styleElement);\n        var innerHTML = '';\n        for (var breakpoint in this.breakpoints) {\n          innerHTML += \"\\n                        @media screen and (max-width: \".concat(breakpoint, \") {\\n                            .p-popover[\").concat(this.attributeSelector, \"] {\\n                                width: \").concat(this.breakpoints[breakpoint], \" !important;\\n                            }\\n                        }\\n                    \");\n        }\n        this.styleElement.innerHTML = innerHTML;\n      }\n    },\n    destroyStyle: function destroyStyle() {\n      if (this.styleElement) {\n        document.head.removeChild(this.styleElement);\n        this.styleElement = null;\n      }\n    },\n    onOverlayClick: function onOverlayClick(event) {\n      OverlayEventBus.emit('overlay-click', {\n        originalEvent: event,\n        target: this.target\n      });\n    }\n  },\n  computed: {\n    attributeSelector: function attributeSelector() {\n      return UniqueComponentId();\n    }\n  },\n  directives: {\n    focustrap: FocusTrap,\n    ripple: Ripple\n  },\n  components: {\n    Portal: Portal\n  }\n};\n\nvar _hoisted_1 = [\"aria-modal\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_Portal = resolveComponent(\"Portal\");\n  var _directive_focustrap = resolveDirective(\"focustrap\");\n  return openBlock(), createBlock(_component_Portal, {\n    appendTo: _ctx.appendTo\n  }, {\n    \"default\": withCtx(function () {\n      return [createVNode(Transition, mergeProps({\n        name: \"p-popover\",\n        onEnter: $options.onEnter,\n        onLeave: $options.onLeave,\n        onAfterLeave: $options.onAfterLeave\n      }, _ctx.ptm('transition')), {\n        \"default\": withCtx(function () {\n          return [$data.visible ? withDirectives((openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 0,\n            ref: $options.containerRef,\n            role: \"dialog\",\n            \"aria-modal\": $data.visible,\n            onClick: _cache[3] || (_cache[3] = function () {\n              return $options.onOverlayClick && $options.onOverlayClick.apply($options, arguments);\n            }),\n            \"class\": _ctx.cx('root')\n          }, _ctx.ptmi('root')), [_ctx.$slots.container ? renderSlot(_ctx.$slots, \"container\", {\n            key: 0,\n            closeCallback: $options.hide,\n            keydownCallback: function keydownCallback(event) {\n              return $options.onButtonKeydown(event);\n            }\n          }) : (openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 1,\n            \"class\": _ctx.cx('content'),\n            onClick: _cache[0] || (_cache[0] = function () {\n              return $options.onContentClick && $options.onContentClick.apply($options, arguments);\n            }),\n            onMousedown: _cache[1] || (_cache[1] = function () {\n              return $options.onContentClick && $options.onContentClick.apply($options, arguments);\n            }),\n            onKeydown: _cache[2] || (_cache[2] = function () {\n              return $options.onContentKeydown && $options.onContentKeydown.apply($options, arguments);\n            })\n          }, _ctx.ptm('content')), [renderSlot(_ctx.$slots, \"default\")], 16))], 16, _hoisted_1)), [[_directive_focustrap]]) : createCommentVNode(\"\", true)];\n        }),\n        _: 3\n      }, 16, [\"onEnter\", \"onLeave\", \"onAfterLeave\"])];\n    }),\n    _: 3\n  }, 8, [\"appendTo\"]);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <div :class=\"['node-tree-leaf', { bookmark: isBookmarked }]\" ref=\"container\">\n    <div class=\"node-content\">\n      <Tag\n        v-if=\"node.experimental\"\n        :value=\"$t('experimental')\"\n        severity=\"primary\"\n      />\n      <Tag v-if=\"node.deprecated\" :value=\"$t('deprecated')\" severity=\"danger\" />\n      <span class=\"node-label\">{{ node.display_name }}</span>\n    </div>\n    <Button\n      class=\"bookmark-button\"\n      size=\"small\"\n      :icon=\"isBookmarked ? 'pi pi-bookmark-fill' : 'pi pi-bookmark'\"\n      text\n      severity=\"secondary\"\n      @click.stop=\"toggleBookmark\"\n    />\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport Button from 'primevue/button'\nimport Tag from 'primevue/tag'\nimport { ComfyNodeDefImpl } from '@/stores/nodeDefStore'\nimport { onMounted, onUnmounted, ref } from 'vue'\nimport { draggable } from '@atlaskit/pragmatic-drag-and-drop/element/adapter'\nimport { CanvasDragAndDropData } from '@/types/litegraphTypes'\n\nconst props = defineProps<{\n  node: ComfyNodeDefImpl\n  isBookmarked: boolean\n}>()\n\nconst emit = defineEmits<{\n  (e: 'toggle-bookmark', value: ComfyNodeDefImpl): void\n}>()\n\nconst toggleBookmark = () => {\n  emit('toggle-bookmark', props.node)\n}\n\nconst container = ref<HTMLElement | null>(null)\nlet draggableCleanup: () => void\nonMounted(() => {\n  const treeNodeElement = container.value?.closest(\n    '.p-tree-node'\n  ) as HTMLElement\n  draggableCleanup = draggable({\n    element: treeNodeElement,\n    getInitialData() {\n      return {\n        type: 'add-node',\n        data: props.node\n      } as CanvasDragAndDropData<ComfyNodeDefImpl>\n    }\n  })\n})\nonUnmounted(() => {\n  draggableCleanup()\n})\n</script>\n\n<style scoped>\n.node-tree-leaf {\n  width: 100%;\n  display: flex;\n  align-items: center;\n  justify-content: space-between;\n}\n\n.node-content {\n  display: flex;\n  align-items: center;\n  flex-grow: 1;\n}\n\n.node-label {\n  margin-left: 0.5rem;\n}\n\n.bookmark-button {\n  width: unset;\n  padding: 0.25rem;\n}\n</style>\n","<template>\n  <div\n    :class=\"[\n      'node-tree-folder',\n      { bookmark: props.isBookmarkFolder, 'can-drop': canDrop }\n    ]\"\n    ref=\"container\"\n  >\n    <span class=\"folder-label\">\n      <slot name=\"folder-label\" :node=\"props.node\">\n        {{ props.node.label }}\n      </slot>\n    </span>\n    <Badge\n      :value=\"props.node.totalNodes\"\n      severity=\"secondary\"\n      :style=\"{ marginLeft: '0.5rem' }\"\n    />\n  </div>\n</template>\n\n<script setup lang=\"ts\">\nimport { ComfyNodeDefImpl } from '@/stores/nodeDefStore'\nimport { useNodeBookmarkStore } from '@/stores/nodeBookmarkStore'\nimport type { CanvasDragAndDropData } from '@/types/litegraphTypes'\nimport { dropTargetForElements } from '@atlaskit/pragmatic-drag-and-drop/element/adapter'\nimport Badge from 'primevue/badge'\nimport type { TreeNode } from 'primevue/treenode'\nimport { computed, onMounted, onUnmounted, ref, watch } from 'vue'\nimport type { BookmarkCustomization } from '@/types/apiTypes'\n\nconst props = defineProps<{\n  node: TreeNode\n  isBookmarkFolder: boolean\n}>()\n\nconst emit = defineEmits<{\n  (e: 'itemDropped', node: TreeNode): void\n}>()\n\nconst nodeBookmarkStore = useNodeBookmarkStore()\n\nconst customization = computed<BookmarkCustomization | undefined>(() => {\n  return nodeBookmarkStore.bookmarksCustomization[props.node.data.nodePath]\n})\n\nconst addNodeToBookmarkFolder = (node: ComfyNodeDefImpl) => {\n  if (!props.node.data) {\n    console.error('Bookmark folder does not have data!')\n    return\n  }\n  if (nodeBookmarkStore.isBookmarked(node)) {\n    nodeBookmarkStore.toggleBookmark(node)\n  }\n\n  const folderNodeDef = props.node.data as ComfyNodeDefImpl\n  const nodePath = folderNodeDef.category + '/' + node.display_name\n  nodeBookmarkStore.addBookmark(nodePath)\n}\n\nconst container = ref<HTMLElement | null>(null)\nconst canDrop = ref(false)\n\nconst treeNodeElement = ref<HTMLElement | null>(null)\nconst iconElement = ref<HTMLElement | null>(null)\n\nlet dropTargetCleanup = () => {}\nlet stopWatchCustomization: (() => void) | null = null\n\nonMounted(() => {\n  if (!props.isBookmarkFolder) return\n\n  treeNodeElement.value = container.value?.closest(\n    '.p-tree-node-content'\n  ) as HTMLElement\n  dropTargetCleanup = dropTargetForElements({\n    element: treeNodeElement.value,\n    onDrop: (event) => {\n      const dndData = event.source.data as CanvasDragAndDropData\n      if (dndData.type === 'add-node') {\n        addNodeToBookmarkFolder(dndData.data)\n        canDrop.value = false\n        emit('itemDropped', props.node)\n      }\n    },\n    onDragEnter: (event) => {\n      const dndData = event.source.data as CanvasDragAndDropData\n      if (dndData.type === 'add-node') {\n        canDrop.value = true\n      }\n    },\n    onDragLeave: (event) => {\n      canDrop.value = false\n    }\n  })\n\n  iconElement.value = treeNodeElement.value.querySelector(\n    ':scope > .p-tree-node-icon'\n  ) as HTMLElement\n\n  updateIconColor()\n\n  // Start watching after the component is mounted\n  stopWatchCustomization = watch(customization, updateIconColor, { deep: true })\n})\n\nconst updateIconColor = () => {\n  if (iconElement.value && customization.value) {\n    iconElement.value.style.color = customization.value.color\n  }\n}\n\nonUnmounted(() => {\n  dropTargetCleanup()\n  if (stopWatchCustomization) {\n    stopWatchCustomization()\n  }\n})\n</script>\n\n<style scoped>\n.node-tree-folder {\n  display: flex;\n  align-items: center;\n}\n</style>\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-tree {\\n    background: \".concat(dt('tree.background'), \";\\n    color: \").concat(dt('tree.color'), \";\\n    padding: \").concat(dt('tree.padding'), \";\\n}\\n\\n.p-tree-root-children,\\n.p-tree-node-children {\\n    display: flex;\\n    list-style-type: none;\\n    flex-direction: column;\\n    margin: 0;\\n    gap: \").concat(dt('tree.gap'), \";\\n}\\n\\n.p-tree-root-children {\\n    padding: \").concat(dt('tree.gap'), \" 0 0 0;\\n}\\n\\n.p-tree-node-children {\\n    padding: \").concat(dt('tree.gap'), \" 0 0 \").concat(dt('tree.indent'), \";\\n}\\n\\n.p-tree-node {\\n    padding: 0;\\n    outline: 0 none;\\n}\\n\\n.p-tree-node-content {\\n    border-radius: \").concat(dt('tree.node.border.radius'), \";\\n    padding: \").concat(dt('tree.node.padding'), \";\\n    display: flex;\\n    align-items: center;\\n    outline-color: transparent;\\n    color: \").concat(dt('tree.node.color'), \";\\n    gap: \").concat(dt('tree.node.gap'), \";\\n    transition: background \").concat(dt('tree.transition.duration'), \", color \").concat(dt('tree.transition.duration'), \", outline-color \").concat(dt('tree.transition.duration'), \", box-shadow \").concat(dt('tree.transition.duration'), \";\\n}\\n\\n.p-tree-node:focus-visible > .p-tree-node-content {\\n    box-shadow: \").concat(dt('tree.node.focus.ring.shadow'), \";\\n    outline: \").concat(dt('tree.node.focus.ring.width'), \" \").concat(dt('tree.node.focus.ring.style'), \" \").concat(dt('tree.node.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('tree.node.focus.ring.offset'), \";\\n}\\n\\n.p-tree-node-content.p-tree-node-selectable:not(.p-tree-node-selected):hover {\\n    background: \").concat(dt('tree.node.hover.background'), \";\\n    color: \").concat(dt('tree.node.hover.color'), \";\\n}\\n\\n.p-tree-node-content.p-tree-node-selectable:not(.p-tree-node-selected):hover .p-tree-node-icon {\\n    color: \").concat(dt('tree.node.icon.hover.color'), \";\\n}\\n\\n.p-tree-node-content.p-tree-node-selected {\\n    background: \").concat(dt('tree.node.selected.background'), \";\\n    color: \").concat(dt('tree.node.selected.color'), \";\\n}\\n\\n.p-tree-node-content.p-tree-node-selected .p-tree-node-toggle-button {\\n    color: inherit;\\n}\\n\\n.p-tree-node-toggle-button {\\n    cursor: pointer;\\n    user-select: none;\\n    display: inline-flex;\\n    align-items: center;\\n    justify-content: center;\\n    overflow: hidden;\\n    position: relative;\\n    flex-shrink: 0;\\n    width: \").concat(dt('tree.node.toggle.button.size'), \";\\n    height: \").concat(dt('tree.node.toggle.button.size'), \";\\n    color: \").concat(dt('tree.node.toggle.button.color'), \";\\n    border: 0 none;\\n    background: transparent;\\n    border-radius: \").concat(dt('tree.node.toggle.button.border.radius'), \";\\n    transition: background \").concat(dt('tree.transition.duration'), \", color \").concat(dt('tree.transition.duration'), \", border-color \").concat(dt('tree.transition.duration'), \", outline-color \").concat(dt('tree.transition.duration'), \", box-shadow \").concat(dt('tree.transition.duration'), \";\\n    outline-color: transparent;\\n    padding: 0;\\n}\\n\\n.p-tree-node-toggle-button:enabled:hover {\\n    background: \").concat(dt('tree.node.toggle.button.hover.background'), \";\\n    color: \").concat(dt('tree.node.toggle.button.hover.color'), \";\\n}\\n\\n.p-tree-node-content.p-tree-node-selected .p-tree-node-toggle-button:hover {\\n    background: \").concat(dt('tree.node.toggle.button.selected.hover.background'), \";\\n    color: \").concat(dt('tree.node.toggle.button.selected.hover.color'), \";\\n}\\n\\n.p-tree-root {\\n    overflow: auto;\\n}\\n\\n.p-tree-node-selectable {\\n    cursor: pointer;\\n    user-select: none;\\n}\\n\\n.p-tree-node-leaf > .p-tree-node-content .p-tree-node-toggle-button {\\n    visibility: hidden;\\n}\\n\\n.p-tree-node-icon {\\n    color: \").concat(dt('tree.node.icon.color'), \";\\n    transition: color \").concat(dt('tree.transition.duration'), \";\\n}\\n\\n.p-tree-node-content.p-tree-node-selected .p-tree-node-icon {\\n    color: \").concat(dt('tree.node.icon.selected.color'), \";\\n}\\n\\n.p-tree-filter-input {\\n    width: 100%;\\n}\\n\\n.p-tree-loading {\\n    position: relative;\\n    height: 100%;\\n}\\n\\n.p-tree-loading-icon {\\n    font-size: \").concat(dt('tree.loading.icon.size'), \";\\n    width: \").concat(dt('tree.loading.icon.size'), \";\\n    height: \").concat(dt('tree.loading.icon.size'), \";\\n}\\n\\n.p-tree .p-tree-mask {\\n    position: absolute;\\n    z-index: 1;\\n    display: flex;\\n    align-items: center;\\n    justify-content: center;\\n}\\n\\n.p-tree-flex-scrollable {\\n    display: flex;\\n    flex: 1;\\n    height: 100%;\\n    flex-direction: column;\\n}\\n\\n.p-tree-flex-scrollable .p-tree-root {\\n    flex: 1;\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var props = _ref2.props;\n    return ['p-tree p-component', {\n      'p-tree-selectable': props.selectionMode != null,\n      'p-tree-loading': props.loading,\n      'p-tree-flex-scrollable': props.scrollHeight === 'flex'\n    }];\n  },\n  mask: 'p-tree-mask p-overlay-mask',\n  loadingIcon: 'p-tree-loading-icon',\n  pcFilterInput: 'p-tree-filter-input',\n  wrapper: 'p-tree-root',\n  //TODO: discuss\n  rootChildren: 'p-tree-root-children',\n  node: function node(_ref3) {\n    var instance = _ref3.instance;\n    return ['p-tree-node', {\n      'p-tree-node-leaf': instance.leaf\n    }];\n  },\n  nodeContent: function nodeContent(_ref4) {\n    var instance = _ref4.instance;\n    return ['p-tree-node-content', instance.node.styleClass, {\n      'p-tree-node-selectable': instance.selectable,\n      'p-tree-node-selected': instance.checkboxMode && instance.$parentInstance.highlightOnSelect ? instance.checked : instance.selected\n    }];\n  },\n  nodeToggleButton: 'p-tree-node-toggle-button',\n  nodeToggleIcon: 'p-tree-node-toggle-icon',\n  nodeCheckbox: 'p-tree-node-checkbox',\n  nodeIcon: 'p-tree-node-icon',\n  nodeLabel: 'p-tree-node-label',\n  nodeChildren: 'p-tree-node-children'\n};\nvar TreeStyle = BaseStyle.extend({\n  name: 'tree',\n  theme: theme,\n  classes: classes\n});\n\nexport { TreeStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'MinusIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M13.2222 7.77778H0.777778C0.571498 7.77778 0.373667 7.69584 0.227806 7.54998C0.0819442 7.40412 0 7.20629 0 7.00001C0 6.79373 0.0819442 6.5959 0.227806 6.45003C0.373667 6.30417 0.571498 6.22223 0.777778 6.22223H13.2222C13.4285 6.22223 13.6263 6.30417 13.7722 6.45003C13.9181 6.5959 14 6.79373 14 7.00001C14 7.20629 13.9181 7.40412 13.7722 7.54998C13.6263 7.69584 13.4285 7.77778 13.2222 7.77778Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-checkbox {\\n    position: relative;\\n    display: inline-flex;\\n    user-select: none;\\n    vertical-align: bottom;\\n    width: \".concat(dt('checkbox.width'), \";\\n    height: \").concat(dt('checkbox.height'), \";\\n}\\n\\n.p-checkbox-input {\\n    cursor: pointer;\\n    appearance: none;\\n    position: absolute;\\n    top: 0;\\n    left: 0;\\n    width: 100%;\\n    height: 100%;\\n    padding: 0;\\n    margin: 0;\\n    opacity: 0;\\n    z-index: 1;\\n    outline: 0 none;\\n    border: 1px solid transparent;\\n    border-radius: \").concat(dt('checkbox.border.radius'), \";\\n}\\n\\n.p-checkbox-box {\\n    display: flex;\\n    justify-content: center;\\n    align-items: center;\\n    border-radius: \").concat(dt('checkbox.border.radius'), \";\\n    border: 1px solid \").concat(dt('checkbox.border.color'), \";\\n    background: \").concat(dt('checkbox.background'), \";\\n    width: \").concat(dt('checkbox.width'), \";\\n    height: \").concat(dt('checkbox.height'), \";\\n    transition: background \").concat(dt('checkbox.transition.duration'), \", color \").concat(dt('checkbox.transition.duration'), \", border-color \").concat(dt('checkbox.transition.duration'), \", box-shadow \").concat(dt('checkbox.transition.duration'), \", outline-color \").concat(dt('checkbox.transition.duration'), \";\\n    outline-color: transparent;\\n    box-shadow: \").concat(dt('checkbox.shadow'), \";\\n}\\n\\n.p-checkbox-icon {\\n    transition-duration: \").concat(dt('checkbox.transition.duration'), \";\\n    color: \").concat(dt('checkbox.icon.color'), \";\\n    font-size: \").concat(dt('checkbox.icon.size'), \";\\n    width: \").concat(dt('checkbox.icon.size'), \";\\n    height: \").concat(dt('checkbox.icon.size'), \";\\n}\\n\\n.p-checkbox:not(.p-disabled):has(.p-checkbox-input:hover) .p-checkbox-box {\\n    border-color: \").concat(dt('checkbox.hover.border.color'), \";\\n}\\n\\n.p-checkbox-checked .p-checkbox-box {\\n    border-color: \").concat(dt('checkbox.checked.border.color'), \";\\n    background: \").concat(dt('checkbox.checked.background'), \";\\n}\\n\\n.p-checkbox-checked .p-checkbox-icon {\\n    color: \").concat(dt('checkbox.icon.checked.color'), \";\\n}\\n\\n.p-checkbox-checked:not(.p-disabled):has(.p-checkbox-input:hover) .p-checkbox-box {\\n    background: \").concat(dt('checkbox.checked.hover.background'), \";\\n    border-color: \").concat(dt('checkbox.checked.hover.border.color'), \";\\n}\\n\\n.p-checkbox-checked:not(.p-disabled):has(.p-checkbox-input:hover) .p-checkbox-icon {\\n    color: \").concat(dt('checkbox.icon.checked.hover.color'), \";\\n}\\n\\n.p-checkbox:not(.p-disabled):has(.p-checkbox-input:focus-visible) .p-checkbox-box {\\n    border-color: \").concat(dt('checkbox.focus.border.color'), \";\\n    box-shadow: \").concat(dt('checkbox.focus.ring.shadow'), \";\\n    outline: \").concat(dt('checkbox.focus.ring.width'), \" \").concat(dt('checkbox.focus.ring.style'), \" \").concat(dt('checkbox.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('checkbox.focus.ring.offset'), \";\\n}\\n\\n.p-checkbox-checked:not(.p-disabled):has(.p-checkbox-input:focus-visible) .p-checkbox-box {\\n    border-color: \").concat(dt('checkbox.checked.focus.border.color'), \";\\n}\\n\\n.p-checkbox.p-invalid > .p-checkbox-box {\\n    border-color: \").concat(dt('checkbox.invalid.border.color'), \";\\n}\\n\\n.p-checkbox.p-variant-filled .p-checkbox-box {\\n    background: \").concat(dt('checkbox.filled.background'), \";\\n}\\n\\n.p-checkbox-checked.p-variant-filled .p-checkbox-box {\\n    background: \").concat(dt('checkbox.checked.background'), \";\\n}\\n\\n.p-checkbox-checked.p-variant-filled:not(.p-disabled):has(.p-checkbox-input:hover) .p-checkbox-box {\\n    background: \").concat(dt('checkbox.checked.hover.background'), \";\\n}\\n\\n.p-checkbox.p-disabled {\\n    opacity: 1;\\n}\\n\\n.p-checkbox.p-disabled .p-checkbox-box {\\n    background: \").concat(dt('checkbox.disabled.background'), \";\\n    border-color: \").concat(dt('checkbox.checked.disabled.border.color'), \";\\n}\\n\\n.p-checkbox.p-disabled .p-checkbox-box .p-checkbox-icon {\\n    color: \").concat(dt('checkbox.icon.disabled.color'), \";\\n}\\n\");\n};\nvar classes = {\n  root: function root(_ref2) {\n    var instance = _ref2.instance,\n      props = _ref2.props;\n    return ['p-checkbox p-component', {\n      'p-checkbox-checked': instance.checked,\n      'p-disabled': props.disabled,\n      'p-invalid': props.invalid,\n      'p-variant-filled': props.variant ? props.variant === 'filled' : instance.$primevue.config.inputStyle === 'filled' || instance.$primevue.config.inputVariant === 'filled'\n    }];\n  },\n  box: 'p-checkbox-box',\n  input: 'p-checkbox-input',\n  icon: 'p-checkbox-icon'\n};\nvar CheckboxStyle = BaseStyle.extend({\n  name: 'checkbox',\n  theme: theme,\n  classes: classes\n});\n\nexport { CheckboxStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { equals, contains } from '@primeuix/utils/object';\nimport CheckIcon from '@primevue/icons/check';\nimport MinusIcon from '@primevue/icons/minus';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport CheckboxStyle from 'primevue/checkbox/style';\nimport { resolveComponent, openBlock, createElementBlock, mergeProps, createElementVNode, renderSlot, normalizeClass, createBlock, createCommentVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BaseCheckbox',\n  \"extends\": BaseComponent,\n  props: {\n    value: null,\n    modelValue: null,\n    binary: Boolean,\n    name: {\n      type: String,\n      \"default\": null\n    },\n    indeterminate: {\n      type: Boolean,\n      \"default\": false\n    },\n    trueValue: {\n      type: null,\n      \"default\": true\n    },\n    falseValue: {\n      type: null,\n      \"default\": false\n    },\n    variant: {\n      type: String,\n      \"default\": null\n    },\n    invalid: {\n      type: Boolean,\n      \"default\": false\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    readonly: {\n      type: Boolean,\n      \"default\": false\n    },\n    required: {\n      type: Boolean,\n      \"default\": false\n    },\n    tabindex: {\n      type: Number,\n      \"default\": null\n    },\n    inputId: {\n      type: String,\n      \"default\": null\n    },\n    inputClass: {\n      type: [String, Object],\n      \"default\": null\n    },\n    inputStyle: {\n      type: Object,\n      \"default\": null\n    },\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: CheckboxStyle,\n  provide: function provide() {\n    return {\n      $pcCheckbox: this,\n      $parentInstance: this\n    };\n  }\n};\n\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar script = {\n  name: 'Checkbox',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue', 'change', 'focus', 'blur', 'update:indeterminate'],\n  data: function data() {\n    return {\n      d_indeterminate: this.indeterminate\n    };\n  },\n  watch: {\n    indeterminate: function indeterminate(newValue) {\n      this.d_indeterminate = newValue;\n    }\n  },\n  methods: {\n    getPTOptions: function getPTOptions(key) {\n      var _ptm = key === 'root' ? this.ptmi : this.ptm;\n      return _ptm(key, {\n        context: {\n          checked: this.checked,\n          disabled: this.disabled\n        }\n      });\n    },\n    onChange: function onChange(event) {\n      var _this = this;\n      if (!this.disabled && !this.readonly) {\n        var newModelValue;\n        if (this.binary) {\n          newModelValue = this.d_indeterminate ? this.trueValue : this.checked ? this.falseValue : this.trueValue;\n        } else {\n          if (this.checked || this.d_indeterminate) newModelValue = this.modelValue.filter(function (val) {\n            return !equals(val, _this.value);\n          });else newModelValue = this.modelValue ? [].concat(_toConsumableArray(this.modelValue), [this.value]) : [this.value];\n        }\n        if (this.d_indeterminate) {\n          this.d_indeterminate = false;\n          this.$emit('update:indeterminate', this.d_indeterminate);\n        }\n        this.$emit('update:modelValue', newModelValue);\n        this.$emit('change', event);\n      }\n    },\n    onFocus: function onFocus(event) {\n      this.$emit('focus', event);\n    },\n    onBlur: function onBlur(event) {\n      this.$emit('blur', event);\n    }\n  },\n  computed: {\n    checked: function checked() {\n      return this.d_indeterminate ? false : this.binary ? this.modelValue === this.trueValue : contains(this.value, this.modelValue);\n    }\n  },\n  components: {\n    CheckIcon: CheckIcon,\n    MinusIcon: MinusIcon\n  }\n};\n\nvar _hoisted_1 = [\"data-p-checked\", \"data-p-indeterminate\", \"data-p-disabled\"];\nvar _hoisted_2 = [\"id\", \"value\", \"name\", \"checked\", \"tabindex\", \"disabled\", \"readonly\", \"required\", \"aria-labelledby\", \"aria-label\", \"aria-invalid\", \"aria-checked\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_CheckIcon = resolveComponent(\"CheckIcon\");\n  var _component_MinusIcon = resolveComponent(\"MinusIcon\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root')\n  }, $options.getPTOptions('root'), {\n    \"data-p-checked\": $options.checked,\n    \"data-p-indeterminate\": $data.d_indeterminate || undefined,\n    \"data-p-disabled\": _ctx.disabled\n  }), [createElementVNode(\"input\", mergeProps({\n    id: _ctx.inputId,\n    type: \"checkbox\",\n    \"class\": [_ctx.cx('input'), _ctx.inputClass],\n    style: _ctx.inputStyle,\n    value: _ctx.value,\n    name: _ctx.name,\n    checked: $options.checked,\n    tabindex: _ctx.tabindex,\n    disabled: _ctx.disabled,\n    readonly: _ctx.readonly,\n    required: _ctx.required,\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-label\": _ctx.ariaLabel,\n    \"aria-invalid\": _ctx.invalid || undefined,\n    \"aria-checked\": $data.d_indeterminate ? 'mixed' : undefined,\n    onFocus: _cache[0] || (_cache[0] = function () {\n      return $options.onFocus && $options.onFocus.apply($options, arguments);\n    }),\n    onBlur: _cache[1] || (_cache[1] = function () {\n      return $options.onBlur && $options.onBlur.apply($options, arguments);\n    }),\n    onChange: _cache[2] || (_cache[2] = function () {\n      return $options.onChange && $options.onChange.apply($options, arguments);\n    })\n  }, $options.getPTOptions('input')), null, 16, _hoisted_2), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('box')\n  }, $options.getPTOptions('box')), [renderSlot(_ctx.$slots, \"icon\", {\n    checked: $options.checked,\n    indeterminate: $data.d_indeterminate,\n    \"class\": normalizeClass(_ctx.cx('icon'))\n  }, function () {\n    return [$options.checked ? (openBlock(), createBlock(_component_CheckIcon, mergeProps({\n      key: 0,\n      \"class\": _ctx.cx('icon')\n    }, $options.getPTOptions('icon')), null, 16, [\"class\"])) : $data.d_indeterminate ? (openBlock(), createBlock(_component_MinusIcon, mergeProps({\n      key: 1,\n      \"class\": _ctx.cx('icon')\n    }, $options.getPTOptions('icon')), null, 16, [\"class\"])) : createCommentVNode(\"\", true)];\n  })], 16)], 16, _hoisted_1);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import { resolveFieldData } from '@primeuix/utils/object';\nimport SearchIcon from '@primevue/icons/search';\nimport SpinnerIcon from '@primevue/icons/spinner';\nimport IconField from 'primevue/iconfield';\nimport InputIcon from 'primevue/inputicon';\nimport InputText from 'primevue/inputtext';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport TreeStyle from 'primevue/tree/style';\nimport { getAttribute, findSingle, find } from '@primeuix/utils/dom';\nimport CheckIcon from '@primevue/icons/check';\nimport ChevronDownIcon from '@primevue/icons/chevrondown';\nimport ChevronRightIcon from '@primevue/icons/chevronright';\nimport MinusIcon from '@primevue/icons/minus';\nimport Checkbox from 'primevue/checkbox';\nimport Ripple from 'primevue/ripple';\nimport { resolveComponent, resolveDirective, openBlock, createElementBlock, mergeProps, createElementVNode, withDirectives, Fragment, createBlock, resolveDynamicComponent, normalizeClass, withCtx, createCommentVNode, withModifiers, createTextVNode, toDisplayString, renderList, renderSlot, createVNode } from 'vue';\n\nvar script$2 = {\n  name: 'BaseTree',\n  \"extends\": BaseComponent,\n  props: {\n    value: {\n      type: null,\n      \"default\": null\n    },\n    expandedKeys: {\n      type: null,\n      \"default\": null\n    },\n    selectionKeys: {\n      type: null,\n      \"default\": null\n    },\n    selectionMode: {\n      type: String,\n      \"default\": null\n    },\n    metaKeySelection: {\n      type: Boolean,\n      \"default\": false\n    },\n    loading: {\n      type: Boolean,\n      \"default\": false\n    },\n    loadingIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    loadingMode: {\n      type: String,\n      \"default\": 'mask'\n    },\n    filter: {\n      type: Boolean,\n      \"default\": false\n    },\n    filterBy: {\n      type: String,\n      \"default\": 'label'\n    },\n    filterMode: {\n      type: String,\n      \"default\": 'lenient'\n    },\n    filterPlaceholder: {\n      type: String,\n      \"default\": null\n    },\n    filterLocale: {\n      type: String,\n      \"default\": undefined\n    },\n    highlightOnSelect: {\n      type: Boolean,\n      \"default\": false\n    },\n    scrollHeight: {\n      type: String,\n      \"default\": null\n    },\n    level: {\n      type: Number,\n      \"default\": 0\n    },\n    ariaLabelledby: {\n      type: String,\n      \"default\": null\n    },\n    ariaLabel: {\n      type: String,\n      \"default\": null\n    }\n  },\n  style: TreeStyle,\n  provide: function provide() {\n    return {\n      $pcTree: this,\n      $parentInstance: this\n    };\n  }\n};\n\nfunction _typeof$1(o) { \"@babel/helpers - typeof\"; return _typeof$1 = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof$1(o); }\nfunction _createForOfIteratorHelper$1(r, e) { var t = \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"]; if (!t) { if (Array.isArray(r) || (t = _unsupportedIterableToArray$1(r)) || e  ) { t && (r = t); var _n = 0, F = function F() {}; return { s: F, n: function n() { return _n >= r.length ? { done: !0 } : { done: !1, value: r[_n++] }; }, e: function e(r) { throw r; }, f: F }; } throw new TypeError(\"Invalid attempt to iterate non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); } var o, a = !0, u = !1; return { s: function s() { t = t.call(r); }, n: function n() { var r = t.next(); return a = r.done, r; }, e: function e(r) { u = !0, o = r; }, f: function f() { try { a || null == t[\"return\"] || t[\"return\"](); } finally { if (u) throw o; } } }; }\nfunction ownKeys$1(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread$1(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys$1(Object(t), !0).forEach(function (r) { _defineProperty$1(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$1(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty$1(e, r, t) { return (r = _toPropertyKey$1(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey$1(t) { var i = _toPrimitive$1(t, \"string\"); return \"symbol\" == _typeof$1(i) ? i : i + \"\"; }\nfunction _toPrimitive$1(t, r) { if (\"object\" != _typeof$1(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof$1(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nfunction _toConsumableArray$1(r) { return _arrayWithoutHoles$1(r) || _iterableToArray$1(r) || _unsupportedIterableToArray$1(r) || _nonIterableSpread$1(); }\nfunction _nonIterableSpread$1() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray$1(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray$1(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray$1(r, a) : void 0; } }\nfunction _iterableToArray$1(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles$1(r) { if (Array.isArray(r)) return _arrayLikeToArray$1(r); }\nfunction _arrayLikeToArray$1(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar script$1 = {\n  name: 'TreeNode',\n  hostName: 'Tree',\n  \"extends\": BaseComponent,\n  emits: ['node-toggle', 'node-click', 'checkbox-change'],\n  props: {\n    node: {\n      type: null,\n      \"default\": null\n    },\n    expandedKeys: {\n      type: null,\n      \"default\": null\n    },\n    loadingMode: {\n      type: String,\n      \"default\": 'mask'\n    },\n    selectionKeys: {\n      type: null,\n      \"default\": null\n    },\n    selectionMode: {\n      type: String,\n      \"default\": null\n    },\n    templates: {\n      type: null,\n      \"default\": null\n    },\n    level: {\n      type: Number,\n      \"default\": null\n    },\n    index: null\n  },\n  nodeTouched: false,\n  toggleClicked: false,\n  mounted: function mounted() {\n    this.setAllNodesTabIndexes();\n  },\n  methods: {\n    toggle: function toggle() {\n      this.$emit('node-toggle', this.node);\n      this.toggleClicked = true;\n    },\n    label: function label(node) {\n      return typeof node.label === 'function' ? node.label() : node.label;\n    },\n    onChildNodeToggle: function onChildNodeToggle(node) {\n      this.$emit('node-toggle', node);\n    },\n    getPTOptions: function getPTOptions(key) {\n      return this.ptm(key, {\n        context: {\n          index: this.index,\n          expanded: this.expanded,\n          selected: this.selected,\n          checked: this.checked,\n          leaf: this.leaf\n        }\n      });\n    },\n    onClick: function onClick(event) {\n      if (this.toggleClicked || getAttribute(event.target, '[data-pc-section=\"nodetogglebutton\"]') || getAttribute(event.target.parentElement, '[data-pc-section=\"nodetogglebutton\"]')) {\n        this.toggleClicked = false;\n        return;\n      }\n      if (this.isCheckboxSelectionMode()) {\n        this.toggleCheckbox();\n      } else {\n        this.$emit('node-click', {\n          originalEvent: event,\n          nodeTouched: this.nodeTouched,\n          node: this.node\n        });\n      }\n      this.nodeTouched = false;\n    },\n    onChildNodeClick: function onChildNodeClick(event) {\n      this.$emit('node-click', event);\n    },\n    onTouchEnd: function onTouchEnd() {\n      this.nodeTouched = true;\n    },\n    onKeyDown: function onKeyDown(event) {\n      if (!this.isSameNode(event)) return;\n      switch (event.code) {\n        case 'Tab':\n          this.onTabKey(event);\n          break;\n        case 'ArrowDown':\n          this.onArrowDown(event);\n          break;\n        case 'ArrowUp':\n          this.onArrowUp(event);\n          break;\n        case 'ArrowRight':\n          this.onArrowRight(event);\n          break;\n        case 'ArrowLeft':\n          this.onArrowLeft(event);\n          break;\n        case 'Enter':\n        case 'NumpadEnter':\n        case 'Space':\n          this.onEnterKey(event);\n          break;\n      }\n    },\n    onArrowDown: function onArrowDown(event) {\n      var nodeElement = event.target.getAttribute('data-pc-section') === 'nodetogglebutton' ? event.target.closest('[role=\"treeitem\"]') : event.target;\n      var listElement = nodeElement.children[1];\n      if (listElement) {\n        this.focusRowChange(nodeElement, listElement.children[0]);\n      } else {\n        if (nodeElement.nextElementSibling) {\n          this.focusRowChange(nodeElement, nodeElement.nextElementSibling);\n        } else {\n          var nextSiblingAncestor = this.findNextSiblingOfAncestor(nodeElement);\n          if (nextSiblingAncestor) {\n            this.focusRowChange(nodeElement, nextSiblingAncestor);\n          }\n        }\n      }\n      event.preventDefault();\n    },\n    onArrowUp: function onArrowUp(event) {\n      var nodeElement = event.target;\n      if (nodeElement.previousElementSibling) {\n        this.focusRowChange(nodeElement, nodeElement.previousElementSibling, this.findLastVisibleDescendant(nodeElement.previousElementSibling));\n      } else {\n        var parentNodeElement = this.getParentNodeElement(nodeElement);\n        if (parentNodeElement) {\n          this.focusRowChange(nodeElement, parentNodeElement);\n        }\n      }\n      event.preventDefault();\n    },\n    onArrowRight: function onArrowRight(event) {\n      var _this = this;\n      if (this.leaf || this.expanded) return;\n      event.currentTarget.tabIndex = -1;\n      this.$emit('node-toggle', this.node);\n      this.$nextTick(function () {\n        _this.onArrowDown(event);\n      });\n    },\n    onArrowLeft: function onArrowLeft(event) {\n      var togglerElement = findSingle(event.currentTarget, '[data-pc-section=\"nodetogglebutton\"]');\n      if (this.level === 0 && !this.expanded) {\n        return false;\n      }\n      if (this.expanded && !this.leaf) {\n        togglerElement.click();\n        return false;\n      }\n      var target = this.findBeforeClickableNode(event.currentTarget);\n      if (target) {\n        this.focusRowChange(event.currentTarget, target);\n      }\n    },\n    onEnterKey: function onEnterKey(event) {\n      this.setTabIndexForSelectionMode(event, this.nodeTouched);\n      this.onClick(event);\n      event.preventDefault();\n    },\n    onTabKey: function onTabKey() {\n      this.setAllNodesTabIndexes();\n    },\n    setAllNodesTabIndexes: function setAllNodesTabIndexes() {\n      var nodes = find(this.$refs.currentNode.closest('[data-pc-section=\"rootchildren\"]'), '[role=\"treeitem\"]');\n      var hasSelectedNode = _toConsumableArray$1(nodes).some(function (node) {\n        return node.getAttribute('aria-selected') === 'true' || node.getAttribute('aria-checked') === 'true';\n      });\n      _toConsumableArray$1(nodes).forEach(function (node) {\n        node.tabIndex = -1;\n      });\n      if (hasSelectedNode) {\n        var selectedNodes = _toConsumableArray$1(nodes).filter(function (node) {\n          return node.getAttribute('aria-selected') === 'true' || node.getAttribute('aria-checked') === 'true';\n        });\n        selectedNodes[0].tabIndex = 0;\n        return;\n      }\n      _toConsumableArray$1(nodes)[0].tabIndex = 0;\n    },\n    setTabIndexForSelectionMode: function setTabIndexForSelectionMode(event, nodeTouched) {\n      if (this.selectionMode !== null) {\n        var elements = _toConsumableArray$1(find(this.$refs.currentNode.parentElement, '[role=\"treeitem\"]'));\n        event.currentTarget.tabIndex = nodeTouched === false ? -1 : 0;\n        if (elements.every(function (element) {\n          return element.tabIndex === -1;\n        })) {\n          elements[0].tabIndex = 0;\n        }\n      }\n    },\n    focusRowChange: function focusRowChange(firstFocusableRow, currentFocusedRow, lastVisibleDescendant) {\n      firstFocusableRow.tabIndex = '-1';\n      currentFocusedRow.tabIndex = '0';\n      this.focusNode(lastVisibleDescendant || currentFocusedRow);\n    },\n    findBeforeClickableNode: function findBeforeClickableNode(node) {\n      var parentListElement = node.closest('ul').closest('li');\n      if (parentListElement) {\n        var prevNodeButton = findSingle(parentListElement, 'button');\n        if (prevNodeButton && prevNodeButton.style.visibility !== 'hidden') {\n          return parentListElement;\n        }\n        return this.findBeforeClickableNode(node.previousElementSibling);\n      }\n      return null;\n    },\n    toggleCheckbox: function toggleCheckbox() {\n      var _selectionKeys = this.selectionKeys ? _objectSpread$1({}, this.selectionKeys) : {};\n      var _check = !this.checked;\n      this.propagateDown(this.node, _check, _selectionKeys);\n      this.$emit('checkbox-change', {\n        node: this.node,\n        check: _check,\n        selectionKeys: _selectionKeys\n      });\n    },\n    propagateDown: function propagateDown(node, check, selectionKeys) {\n      if (check) selectionKeys[node.key] = {\n        checked: true,\n        partialChecked: false\n      };else delete selectionKeys[node.key];\n      if (node.children && node.children.length) {\n        var _iterator = _createForOfIteratorHelper$1(node.children),\n          _step;\n        try {\n          for (_iterator.s(); !(_step = _iterator.n()).done;) {\n            var child = _step.value;\n            this.propagateDown(child, check, selectionKeys);\n          }\n        } catch (err) {\n          _iterator.e(err);\n        } finally {\n          _iterator.f();\n        }\n      }\n    },\n    propagateUp: function propagateUp(event) {\n      var check = event.check;\n      var _selectionKeys = _objectSpread$1({}, event.selectionKeys);\n      var checkedChildCount = 0;\n      var childPartialSelected = false;\n      var _iterator2 = _createForOfIteratorHelper$1(this.node.children),\n        _step2;\n      try {\n        for (_iterator2.s(); !(_step2 = _iterator2.n()).done;) {\n          var child = _step2.value;\n          if (_selectionKeys[child.key] && _selectionKeys[child.key].checked) checkedChildCount++;else if (_selectionKeys[child.key] && _selectionKeys[child.key].partialChecked) childPartialSelected = true;\n        }\n      } catch (err) {\n        _iterator2.e(err);\n      } finally {\n        _iterator2.f();\n      }\n      if (check && checkedChildCount === this.node.children.length) {\n        _selectionKeys[this.node.key] = {\n          checked: true,\n          partialChecked: false\n        };\n      } else {\n        if (!check) {\n          delete _selectionKeys[this.node.key];\n        }\n        if (childPartialSelected || checkedChildCount > 0 && checkedChildCount !== this.node.children.length) _selectionKeys[this.node.key] = {\n          checked: false,\n          partialChecked: true\n        };else delete _selectionKeys[this.node.key];\n      }\n      this.$emit('checkbox-change', {\n        node: event.node,\n        check: event.check,\n        selectionKeys: _selectionKeys\n      });\n    },\n    onChildCheckboxChange: function onChildCheckboxChange(event) {\n      this.$emit('checkbox-change', event);\n    },\n    findNextSiblingOfAncestor: function findNextSiblingOfAncestor(nodeElement) {\n      var parentNodeElement = this.getParentNodeElement(nodeElement);\n      if (parentNodeElement) {\n        if (parentNodeElement.nextElementSibling) return parentNodeElement.nextElementSibling;else return this.findNextSiblingOfAncestor(parentNodeElement);\n      } else {\n        return null;\n      }\n    },\n    findLastVisibleDescendant: function findLastVisibleDescendant(nodeElement) {\n      var childrenListElement = nodeElement.children[1];\n      if (childrenListElement) {\n        var lastChildElement = childrenListElement.children[childrenListElement.children.length - 1];\n        return this.findLastVisibleDescendant(lastChildElement);\n      } else {\n        return nodeElement;\n      }\n    },\n    getParentNodeElement: function getParentNodeElement(nodeElement) {\n      var parentNodeElement = nodeElement.parentElement.parentElement;\n      return getAttribute(parentNodeElement, 'role') === 'treeitem' ? parentNodeElement : null;\n    },\n    focusNode: function focusNode(element) {\n      element.focus();\n    },\n    isCheckboxSelectionMode: function isCheckboxSelectionMode() {\n      return this.selectionMode === 'checkbox';\n    },\n    isSameNode: function isSameNode(event) {\n      return event.currentTarget && (event.currentTarget.isSameNode(event.target) || event.currentTarget.isSameNode(event.target.closest('[role=\"treeitem\"]')));\n    }\n  },\n  computed: {\n    hasChildren: function hasChildren() {\n      return this.node.children && this.node.children.length > 0;\n    },\n    expanded: function expanded() {\n      return this.expandedKeys && this.expandedKeys[this.node.key] === true;\n    },\n    leaf: function leaf() {\n      return this.node.leaf === false ? false : !(this.node.children && this.node.children.length);\n    },\n    selectable: function selectable() {\n      return this.node.selectable === false ? false : this.selectionMode != null;\n    },\n    selected: function selected() {\n      return this.selectionMode && this.selectionKeys ? this.selectionKeys[this.node.key] === true : false;\n    },\n    checkboxMode: function checkboxMode() {\n      return this.selectionMode === 'checkbox' && this.node.selectable !== false;\n    },\n    checked: function checked() {\n      return this.selectionKeys ? this.selectionKeys[this.node.key] && this.selectionKeys[this.node.key].checked : false;\n    },\n    partialChecked: function partialChecked() {\n      return this.selectionKeys ? this.selectionKeys[this.node.key] && this.selectionKeys[this.node.key].partialChecked : false;\n    },\n    ariaChecked: function ariaChecked() {\n      return this.selectionMode === 'single' || this.selectionMode === 'multiple' ? this.selected : undefined;\n    },\n    ariaSelected: function ariaSelected() {\n      return this.checkboxMode ? this.checked : undefined;\n    }\n  },\n  components: {\n    Checkbox: Checkbox,\n    ChevronDownIcon: ChevronDownIcon,\n    ChevronRightIcon: ChevronRightIcon,\n    CheckIcon: CheckIcon,\n    MinusIcon: MinusIcon,\n    SpinnerIcon: SpinnerIcon\n  },\n  directives: {\n    ripple: Ripple\n  }\n};\n\nvar _hoisted_1$1 = [\"aria-label\", \"aria-selected\", \"aria-expanded\", \"aria-setsize\", \"aria-posinset\", \"aria-level\", \"aria-checked\", \"tabindex\"];\nvar _hoisted_2 = [\"data-p-selected\", \"data-p-selectable\"];\nfunction render$1(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_SpinnerIcon = resolveComponent(\"SpinnerIcon\");\n  var _component_Checkbox = resolveComponent(\"Checkbox\");\n  var _component_TreeNode = resolveComponent(\"TreeNode\", true);\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return openBlock(), createElementBlock(\"li\", mergeProps({\n    ref: \"currentNode\",\n    \"class\": _ctx.cx('node'),\n    role: \"treeitem\",\n    \"aria-label\": $options.label($props.node),\n    \"aria-selected\": $options.ariaSelected,\n    \"aria-expanded\": $options.expanded,\n    \"aria-setsize\": $props.node.children ? $props.node.children.length : 0,\n    \"aria-posinset\": $props.index + 1,\n    \"aria-level\": $props.level,\n    \"aria-checked\": $options.ariaChecked,\n    tabindex: $props.index === 0 ? 0 : -1,\n    onKeydown: _cache[4] || (_cache[4] = function () {\n      return $options.onKeyDown && $options.onKeyDown.apply($options, arguments);\n    })\n  }, $props.level === 1 ? $options.getPTOptions('node') : _ctx.ptm('nodeChildren')), [createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('nodeContent'),\n    onClick: _cache[2] || (_cache[2] = function () {\n      return $options.onClick && $options.onClick.apply($options, arguments);\n    }),\n    onTouchend: _cache[3] || (_cache[3] = function () {\n      return $options.onTouchEnd && $options.onTouchEnd.apply($options, arguments);\n    }),\n    style: $props.node.style\n  }, $options.getPTOptions('nodeContent'), {\n    \"data-p-selected\": $options.checkboxMode ? $options.checked : $options.selected,\n    \"data-p-selectable\": $options.selectable\n  }), [withDirectives((openBlock(), createElementBlock(\"button\", mergeProps({\n    type: \"button\",\n    \"class\": _ctx.cx('nodeToggleButton'),\n    onClick: _cache[0] || (_cache[0] = function () {\n      return $options.toggle && $options.toggle.apply($options, arguments);\n    }),\n    tabindex: \"-1\",\n    \"aria-hidden\": \"true\"\n  }, $options.getPTOptions('nodeToggleButton')), [$props.node.loading && $props.loadingMode === 'icon' ? (openBlock(), createElementBlock(Fragment, {\n    key: 0\n  }, [$props.templates['nodetoggleicon'] || $props.templates['nodetogglericon'] ? (openBlock(), createBlock(resolveDynamicComponent($props.templates['nodetoggleicon'] || $props.templates['nodetogglericon']), {\n    key: 0,\n    \"class\": normalizeClass(_ctx.cx('nodeToggleIcon'))\n  }, null, 8, [\"class\"])) : (openBlock(), createBlock(_component_SpinnerIcon, mergeProps({\n    key: 1,\n    spin: \"\",\n    \"class\": _ctx.cx('nodetogglericon')\n  }, _ctx.ptm('nodeToggleIcon')), null, 16, [\"class\"]))], 64)) : (openBlock(), createElementBlock(Fragment, {\n    key: 1\n  }, [$props.templates['nodetoggleicon'] || $props.templates['togglericon'] ? (openBlock(), createBlock(resolveDynamicComponent($props.templates['nodetoggleicon'] || $props.templates['togglericon']), {\n    key: 0,\n    node: $props.node,\n    expanded: $options.expanded,\n    \"class\": normalizeClass(_ctx.cx('nodeToggleIcon'))\n  }, null, 8, [\"node\", \"expanded\", \"class\"])) : $options.expanded ? (openBlock(), createBlock(resolveDynamicComponent($props.node.expandedIcon ? 'span' : 'ChevronDownIcon'), mergeProps({\n    key: 1,\n    \"class\": _ctx.cx('nodeToggleIcon')\n  }, $options.getPTOptions('nodeToggleIcon')), null, 16, [\"class\"])) : (openBlock(), createBlock(resolveDynamicComponent($props.node.collapsedIcon ? 'span' : 'ChevronRightIcon'), mergeProps({\n    key: 2,\n    \"class\": _ctx.cx('nodeToggleIcon')\n  }, $options.getPTOptions('nodeToggleIcon')), null, 16, [\"class\"]))], 64))], 16)), [[_directive_ripple]]), $options.checkboxMode ? (openBlock(), createBlock(_component_Checkbox, {\n    key: 0,\n    modelValue: $options.checked,\n    binary: true,\n    indeterminate: $options.partialChecked,\n    \"class\": normalizeClass(_ctx.cx('nodeCheckbox')),\n    tabindex: -1,\n    unstyled: _ctx.unstyled,\n    pt: $options.getPTOptions('nodeCheckbox'),\n    \"data-p-partialchecked\": $options.partialChecked\n  }, {\n    icon: withCtx(function (slotProps) {\n      return [$props.templates['checkboxicon'] ? (openBlock(), createBlock(resolveDynamicComponent($props.templates['checkboxicon']), {\n        key: 0,\n        checked: slotProps.checked,\n        partialChecked: $options.partialChecked,\n        \"class\": normalizeClass(slotProps[\"class\"])\n      }, null, 8, [\"checked\", \"partialChecked\", \"class\"])) : createCommentVNode(\"\", true)];\n    }),\n    _: 1\n  }, 8, [\"modelValue\", \"indeterminate\", \"class\", \"unstyled\", \"pt\", \"data-p-partialchecked\"])) : createCommentVNode(\"\", true), $props.templates['nodeicon'] ? (openBlock(), createBlock(resolveDynamicComponent($props.templates['nodeicon']), mergeProps({\n    key: 1,\n    node: $props.node,\n    \"class\": [_ctx.cx('nodeIcon')]\n  }, $options.getPTOptions('nodeIcon')), null, 16, [\"node\", \"class\"])) : (openBlock(), createElementBlock(\"span\", mergeProps({\n    key: 2,\n    \"class\": [_ctx.cx('nodeIcon'), $props.node.icon]\n  }, $options.getPTOptions('nodeIcon')), null, 16)), createElementVNode(\"span\", mergeProps({\n    \"class\": _ctx.cx('nodeLabel')\n  }, $options.getPTOptions('nodeLabel'), {\n    onKeydown: _cache[1] || (_cache[1] = withModifiers(function () {}, [\"stop\"]))\n  }), [$props.templates[$props.node.type] || $props.templates['default'] ? (openBlock(), createBlock(resolveDynamicComponent($props.templates[$props.node.type] || $props.templates['default']), {\n    key: 0,\n    node: $props.node,\n    selected: $options.checkboxMode ? $options.checked : $options.selected\n  }, null, 8, [\"node\", \"selected\"])) : (openBlock(), createElementBlock(Fragment, {\n    key: 1\n  }, [createTextVNode(toDisplayString($options.label($props.node)), 1)], 64))], 16)], 16, _hoisted_2), $options.hasChildren && $options.expanded ? (openBlock(), createElementBlock(\"ul\", mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('nodeChildren'),\n    role: \"group\"\n  }, _ctx.ptm('nodeChildren')), [(openBlock(true), createElementBlock(Fragment, null, renderList($props.node.children, function (childNode) {\n    return openBlock(), createBlock(_component_TreeNode, {\n      key: childNode.key,\n      node: childNode,\n      templates: $props.templates,\n      level: $props.level + 1,\n      loadingMode: $props.loadingMode,\n      expandedKeys: $props.expandedKeys,\n      onNodeToggle: $options.onChildNodeToggle,\n      onNodeClick: $options.onChildNodeClick,\n      selectionMode: $props.selectionMode,\n      selectionKeys: $props.selectionKeys,\n      onCheckboxChange: $options.propagateUp,\n      unstyled: _ctx.unstyled,\n      pt: _ctx.pt\n    }, null, 8, [\"node\", \"templates\", \"level\", \"loadingMode\", \"expandedKeys\", \"onNodeToggle\", \"onNodeClick\", \"selectionMode\", \"selectionKeys\", \"onCheckboxChange\", \"unstyled\", \"pt\"]);\n  }), 128))], 16)) : createCommentVNode(\"\", true)], 16, _hoisted_1$1);\n}\n\nscript$1.render = render$1;\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction _createForOfIteratorHelper(r, e) { var t = \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"]; if (!t) { if (Array.isArray(r) || (t = _unsupportedIterableToArray(r)) || e  ) { t && (r = t); var _n = 0, F = function F() {}; return { s: F, n: function n() { return _n >= r.length ? { done: !0 } : { done: !1, value: r[_n++] }; }, e: function e(r) { throw r; }, f: F }; } throw new TypeError(\"Invalid attempt to iterate non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); } var o, a = !0, u = !1; return { s: function s() { t = t.call(r); }, n: function n() { var r = t.next(); return a = r.done, r; }, e: function e(r) { u = !0, o = r; }, f: function f() { try { a || null == t[\"return\"] || t[\"return\"](); } finally { if (u) throw o; } } }; }\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar script = {\n  name: 'Tree',\n  \"extends\": script$2,\n  inheritAttrs: false,\n  emits: ['node-expand', 'node-collapse', 'update:expandedKeys', 'update:selectionKeys', 'node-select', 'node-unselect', 'filter'],\n  data: function data() {\n    return {\n      d_expandedKeys: this.expandedKeys || {},\n      filterValue: null\n    };\n  },\n  watch: {\n    expandedKeys: function expandedKeys(newValue) {\n      this.d_expandedKeys = newValue;\n    }\n  },\n  methods: {\n    onNodeToggle: function onNodeToggle(node) {\n      var key = node.key;\n      if (this.d_expandedKeys[key]) {\n        delete this.d_expandedKeys[key];\n        this.$emit('node-collapse', node);\n      } else {\n        this.d_expandedKeys[key] = true;\n        this.$emit('node-expand', node);\n      }\n      this.d_expandedKeys = _objectSpread({}, this.d_expandedKeys);\n      this.$emit('update:expandedKeys', this.d_expandedKeys);\n    },\n    onNodeClick: function onNodeClick(event) {\n      if (this.selectionMode != null && event.node.selectable !== false) {\n        var metaSelection = event.nodeTouched ? false : this.metaKeySelection;\n        var _selectionKeys = metaSelection ? this.handleSelectionWithMetaKey(event) : this.handleSelectionWithoutMetaKey(event);\n        this.$emit('update:selectionKeys', _selectionKeys);\n      }\n    },\n    onCheckboxChange: function onCheckboxChange(event) {\n      this.$emit('update:selectionKeys', event.selectionKeys);\n      if (event.check) this.$emit('node-select', event.node);else this.$emit('node-unselect', event.node);\n    },\n    handleSelectionWithMetaKey: function handleSelectionWithMetaKey(event) {\n      var originalEvent = event.originalEvent;\n      var node = event.node;\n      var metaKey = originalEvent.metaKey || originalEvent.ctrlKey;\n      var selected = this.isNodeSelected(node);\n      var _selectionKeys;\n      if (selected && metaKey) {\n        if (this.isSingleSelectionMode()) {\n          _selectionKeys = {};\n        } else {\n          _selectionKeys = _objectSpread({}, this.selectionKeys);\n          delete _selectionKeys[node.key];\n        }\n        this.$emit('node-unselect', node);\n      } else {\n        if (this.isSingleSelectionMode()) {\n          _selectionKeys = {};\n        } else if (this.isMultipleSelectionMode()) {\n          _selectionKeys = !metaKey ? {} : this.selectionKeys ? _objectSpread({}, this.selectionKeys) : {};\n        }\n        _selectionKeys[node.key] = true;\n        this.$emit('node-select', node);\n      }\n      return _selectionKeys;\n    },\n    handleSelectionWithoutMetaKey: function handleSelectionWithoutMetaKey(event) {\n      var node = event.node;\n      var selected = this.isNodeSelected(node);\n      var _selectionKeys;\n      if (this.isSingleSelectionMode()) {\n        if (selected) {\n          _selectionKeys = {};\n          this.$emit('node-unselect', node);\n        } else {\n          _selectionKeys = {};\n          _selectionKeys[node.key] = true;\n          this.$emit('node-select', node);\n        }\n      } else {\n        if (selected) {\n          _selectionKeys = _objectSpread({}, this.selectionKeys);\n          delete _selectionKeys[node.key];\n          this.$emit('node-unselect', node);\n        } else {\n          _selectionKeys = this.selectionKeys ? _objectSpread({}, this.selectionKeys) : {};\n          _selectionKeys[node.key] = true;\n          this.$emit('node-select', node);\n        }\n      }\n      return _selectionKeys;\n    },\n    isSingleSelectionMode: function isSingleSelectionMode() {\n      return this.selectionMode === 'single';\n    },\n    isMultipleSelectionMode: function isMultipleSelectionMode() {\n      return this.selectionMode === 'multiple';\n    },\n    isNodeSelected: function isNodeSelected(node) {\n      return this.selectionMode && this.selectionKeys ? this.selectionKeys[node.key] === true : false;\n    },\n    isChecked: function isChecked(node) {\n      return this.selectionKeys ? this.selectionKeys[node.key] && this.selectionKeys[node.key].checked : false;\n    },\n    isNodeLeaf: function isNodeLeaf(node) {\n      return node.leaf === false ? false : !(node.children && node.children.length);\n    },\n    onFilterKeydown: function onFilterKeydown(event) {\n      if (event.code === 'Enter' || event.code === 'NumpadEnter') {\n        event.preventDefault();\n      }\n      this.$emit('filter', {\n        originalEvent: event,\n        value: event.target.value\n      });\n    },\n    findFilteredNodes: function findFilteredNodes(node, paramsWithoutNode) {\n      if (node) {\n        var matched = false;\n        if (node.children) {\n          var childNodes = _toConsumableArray(node.children);\n          node.children = [];\n          var _iterator = _createForOfIteratorHelper(childNodes),\n            _step;\n          try {\n            for (_iterator.s(); !(_step = _iterator.n()).done;) {\n              var childNode = _step.value;\n              var copyChildNode = _objectSpread({}, childNode);\n              if (this.isFilterMatched(copyChildNode, paramsWithoutNode)) {\n                matched = true;\n                node.children.push(copyChildNode);\n              }\n            }\n          } catch (err) {\n            _iterator.e(err);\n          } finally {\n            _iterator.f();\n          }\n        }\n        if (matched) {\n          return true;\n        }\n      }\n    },\n    isFilterMatched: function isFilterMatched(node, _ref) {\n      var searchFields = _ref.searchFields,\n        filterText = _ref.filterText,\n        strict = _ref.strict;\n      var matched = false;\n      var _iterator2 = _createForOfIteratorHelper(searchFields),\n        _step2;\n      try {\n        for (_iterator2.s(); !(_step2 = _iterator2.n()).done;) {\n          var field = _step2.value;\n          var fieldValue = String(resolveFieldData(node, field)).toLocaleLowerCase(this.filterLocale);\n          if (fieldValue.indexOf(filterText) > -1) {\n            matched = true;\n          }\n        }\n      } catch (err) {\n        _iterator2.e(err);\n      } finally {\n        _iterator2.f();\n      }\n      if (!matched || strict && !this.isNodeLeaf(node)) {\n        matched = this.findFilteredNodes(node, {\n          searchFields: searchFields,\n          filterText: filterText,\n          strict: strict\n        }) || matched;\n      }\n      return matched;\n    }\n  },\n  computed: {\n    filteredValue: function filteredValue() {\n      var filteredNodes = [];\n      var searchFields = this.filterBy.split(',');\n      var filterText = this.filterValue.trim().toLocaleLowerCase(this.filterLocale);\n      var strict = this.filterMode === 'strict';\n      var _iterator3 = _createForOfIteratorHelper(this.value),\n        _step3;\n      try {\n        for (_iterator3.s(); !(_step3 = _iterator3.n()).done;) {\n          var node = _step3.value;\n          var _node = _objectSpread({}, node);\n          var paramsWithoutNode = {\n            searchFields: searchFields,\n            filterText: filterText,\n            strict: strict\n          };\n          if (strict && (this.findFilteredNodes(_node, paramsWithoutNode) || this.isFilterMatched(_node, paramsWithoutNode)) || !strict && (this.isFilterMatched(_node, paramsWithoutNode) || this.findFilteredNodes(_node, paramsWithoutNode))) {\n            filteredNodes.push(_node);\n          }\n        }\n      } catch (err) {\n        _iterator3.e(err);\n      } finally {\n        _iterator3.f();\n      }\n      return filteredNodes;\n    },\n    valueToRender: function valueToRender() {\n      if (this.filterValue && this.filterValue.trim().length > 0) return this.filteredValue;else return this.value;\n    }\n  },\n  components: {\n    TreeNode: script$1,\n    InputText: InputText,\n    InputIcon: InputIcon,\n    IconField: IconField,\n    SearchIcon: SearchIcon,\n    SpinnerIcon: SpinnerIcon\n  }\n};\n\nvar _hoisted_1 = [\"aria-labelledby\", \"aria-label\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_SpinnerIcon = resolveComponent(\"SpinnerIcon\");\n  var _component_InputText = resolveComponent(\"InputText\");\n  var _component_SearchIcon = resolveComponent(\"SearchIcon\");\n  var _component_InputIcon = resolveComponent(\"InputIcon\");\n  var _component_IconField = resolveComponent(\"IconField\");\n  var _component_TreeNode = resolveComponent(\"TreeNode\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root')), [_ctx.loading && _ctx.loadingMode === 'mask' ? (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 0,\n    \"class\": _ctx.cx('mask')\n  }, _ctx.ptm('mask')), [renderSlot(_ctx.$slots, \"loadingicon\", {\n    \"class\": normalizeClass(_ctx.cx('loadingIcon'))\n  }, function () {\n    return [_ctx.loadingIcon ? (openBlock(), createElementBlock(\"i\", mergeProps({\n      key: 0,\n      \"class\": [_ctx.cx('loadingIcon'), 'pi-spin', _ctx.loadingIcon]\n    }, _ctx.ptm('loadingIcon')), null, 16)) : (openBlock(), createBlock(_component_SpinnerIcon, mergeProps({\n      key: 1,\n      spin: \"\",\n      \"class\": _ctx.cx('loadingIcon')\n    }, _ctx.ptm('loadingIcon')), null, 16, [\"class\"]))];\n  })], 16)) : createCommentVNode(\"\", true), _ctx.filter ? (openBlock(), createBlock(_component_IconField, mergeProps({\n    key: 1,\n    unstyled: _ctx.unstyled\n  }, _ctx.ptm('pcFilterContainer')), {\n    \"default\": withCtx(function () {\n      return [createVNode(_component_InputText, mergeProps({\n        modelValue: $data.filterValue,\n        \"onUpdate:modelValue\": _cache[0] || (_cache[0] = function ($event) {\n          return $data.filterValue = $event;\n        }),\n        autocomplete: \"off\",\n        \"class\": _ctx.cx('pcFilterInput'),\n        placeholder: _ctx.filterPlaceholder,\n        unstyled: _ctx.unstyled,\n        onKeydown: $options.onFilterKeydown\n      }, _ctx.ptm('pcFilterInput')), null, 16, [\"modelValue\", \"class\", \"placeholder\", \"unstyled\", \"onKeydown\"]), createVNode(_component_InputIcon, mergeProps({\n        unstyled: _ctx.unstyled\n      }, _ctx.ptm('pcFilterIconContainer')), {\n        \"default\": withCtx(function () {\n          return [renderSlot(_ctx.$slots, _ctx.$slots.filtericon ? 'filtericon' : 'searchicon', {\n            \"class\": normalizeClass(_ctx.cx('filterIcon'))\n          }, function () {\n            return [createVNode(_component_SearchIcon, mergeProps({\n              \"class\": _ctx.cx('filterIcon')\n            }, _ctx.ptm('filterIcon')), null, 16, [\"class\"])];\n          })];\n        }),\n        _: 3\n      }, 16, [\"unstyled\"])];\n    }),\n    _: 3\n  }, 16, [\"unstyled\"])) : createCommentVNode(\"\", true), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('wrapper'),\n    style: {\n      maxHeight: _ctx.scrollHeight\n    }\n  }, _ctx.ptm('wrapper')), [createElementVNode(\"ul\", mergeProps({\n    \"class\": _ctx.cx('rootChildren'),\n    role: \"tree\",\n    \"aria-labelledby\": _ctx.ariaLabelledby,\n    \"aria-label\": _ctx.ariaLabel\n  }, _ctx.ptm('rootChildren')), [(openBlock(true), createElementBlock(Fragment, null, renderList($options.valueToRender, function (node, index) {\n    return openBlock(), createBlock(_component_TreeNode, {\n      key: node.key,\n      node: node,\n      templates: _ctx.$slots,\n      level: _ctx.level + 1,\n      index: index,\n      expandedKeys: $data.d_expandedKeys,\n      onNodeToggle: $options.onNodeToggle,\n      onNodeClick: $options.onNodeClick,\n      selectionMode: _ctx.selectionMode,\n      selectionKeys: _ctx.selectionKeys,\n      onCheckboxChange: $options.onCheckboxChange,\n      loadingMode: _ctx.loadingMode,\n      unstyled: _ctx.unstyled,\n      pt: _ctx.pt\n    }, null, 8, [\"node\", \"templates\", \"level\", \"index\", \"expandedKeys\", \"onNodeToggle\", \"onNodeClick\", \"selectionMode\", \"selectionKeys\", \"onCheckboxChange\", \"loadingMode\", \"unstyled\", \"pt\"]);\n  }), 128))], 16, _hoisted_1)], 16)], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseStyle from '@primevue/core/base/style';\n\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-colorpicker {\\n    display: inline-block;\\n    position: relative;\\n}\\n\\n.p-colorpicker-dragging {\\n    cursor: pointer;\\n}\\n\\n.p-colorpicker-preview {\\n    width: \".concat(dt('colorpicker.preview.width'), \";\\n    height: \").concat(dt('colorpicker.preview.height'), \";\\n    padding: 0;\\n    border: 0 none;\\n    border-radius: \").concat(dt('colorpicker.preview.border.radius'), \";\\n    transition: background \").concat(dt('colorpicker.transition.duration'), \", color \").concat(dt('colorpicker.transition.duration'), \", border-color \").concat(dt('colorpicker.transition.duration'), \", outline-color \").concat(dt('colorpicker.transition.duration'), \", box-shadow \").concat(dt('colorpicker.transition.duration'), \";\\n    outline-color: transparent;\\n    cursor: pointer;\\n}\\n\\n.p-colorpicker-preview:enabled:focus-visible {\\n    border-color: \").concat(dt('colorpicker.preview.focus.border.color'), \";\\n    box-shadow: \").concat(dt('colorpicker.preview.focus.ring.shadow'), \";\\n    outline: \").concat(dt('colorpicker.preview.focus.ring.width'), \" \").concat(dt('colorpicker.preview.focus.ring.style'), \" \").concat(dt('colorpicker.preview.focus.ring.color'), \";\\n    outline-offset: \").concat(dt('colorpicker.preview.focus.ring.offset'), \";\\n}\\n\\n.p-colorpicker-panel {\\n    background: \").concat(dt('colorpicker.panel.background'), \";\\n    border: 1px solid \").concat(dt('colorpicker.panel.border.color'), \";\\n    border-radius: \").concat(dt('colorpicker.panel.border.radius'), \";\\n    box-shadow: \").concat(dt('colorpicker.panel.shadow'), \";\\n    width: 193px;\\n    height: 166px;\\n    position: absolute;\\n    top: 0;\\n    left: 0;\\n}\\n\\n.p-colorpicker-panel-inline {\\n    box-shadow: none;\\n    position: static;\\n}\\n\\n.p-colorpicker-content {\\n    position: relative;\\n}\\n\\n.p-colorpicker-color-selector {\\n    width: 150px;\\n    height: 150px;\\n    top: 8px;\\n    left: 8px;\\n    position: absolute;\\n}\\n\\n.p-colorpicker-color-background {\\n    width: 100%;\\n    height: 100%;\\n    background: linear-gradient(to top, #000 0%, rgba(0, 0, 0, 0) 100%), linear-gradient(to right, #fff 0%, rgba(255, 255, 255, 0) 100%);\\n}\\n\\n.p-colorpicker-color-handle {\\n    position: absolute;\\n    top: 0px;\\n    left: 150px;\\n    border-radius: 100%;\\n    width: 10px;\\n    height: 10px;\\n    border-width: 1px;\\n    border-style: solid;\\n    margin: -5px 0 0 -5px;\\n    cursor: pointer;\\n    opacity: 0.85;\\n    border-color: \").concat(dt('colorpicker.handle.color'), \";\\n}\\n\\n.p-colorpicker-hue {\\n    width: 17px;\\n    height: 150px;\\n    top: 8px;\\n    left: 167px;\\n    position: absolute;\\n    opacity: 0.85;\\n    background: linear-gradient(0deg,\\n        red 0,\\n        #ff0 17%,\\n        #0f0 33%,\\n        #0ff 50%,\\n        #00f 67%,\\n        #f0f 83%,\\n        red);\\n}\\n\\n.p-colorpicker-hue-handle {\\n    position: absolute;\\n    top: 150px;\\n    left: 0px;\\n    width: 21px;\\n    margin-left: -2px;\\n    margin-top: -5px;\\n    height: 10px;\\n    border-width: 2px;\\n    border-style: solid;\\n    opacity: 0.85;\\n    cursor: pointer;\\n    border-color: \").concat(dt('colorpicker.handle.color'), \";\\n}\\n\");\n};\nvar classes = {\n  root: 'p-colorpicker p-component',\n  preview: function preview(_ref2) {\n    var props = _ref2.props;\n    return ['p-colorpicker-preview', {\n      'p-disabled': props.disabled\n    }];\n  },\n  panel: function panel(_ref3) {\n    var props = _ref3.props;\n    return ['p-colorpicker-panel', {\n      'p-colorpicker-panel-inline': props.inline,\n      'p-disabled': props.disabled\n    }];\n  },\n  colorSelector: 'p-colorpicker-color-selector',\n  colorBackground: 'p-colorpicker-color-background',\n  colorHandle: 'p-colorpicker-color-handle',\n  hue: 'p-colorpicker-hue',\n  hueHandle: 'p-colorpicker-hue-handle'\n};\nvar ColorPickerStyle = BaseStyle.extend({\n  name: 'colorpicker',\n  theme: theme,\n  classes: classes\n});\n\nexport { ColorPickerStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import { ConnectedOverlayScrollHandler } from '@primevue/core/utils';\nimport { relativePosition, absolutePosition, addClass, removeClass, isTouchDevice } from '@primeuix/utils/dom';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport OverlayEventBus from 'primevue/overlayeventbus';\nimport Portal from 'primevue/portal';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport ColorPickerStyle from 'primevue/colorpicker/style';\nimport { resolveComponent, openBlock, createElementBlock, mergeProps, createCommentVNode, createVNode, withCtx, Transition, createElementVNode } from 'vue';\n\nvar script$1 = {\n  name: 'BaseColorPicker',\n  \"extends\": BaseComponent,\n  props: {\n    modelValue: {\n      type: null,\n      \"default\": null\n    },\n    defaultColor: {\n      type: null,\n      \"default\": 'ff0000'\n    },\n    inline: {\n      type: Boolean,\n      \"default\": false\n    },\n    format: {\n      type: String,\n      \"default\": 'hex'\n    },\n    disabled: {\n      type: Boolean,\n      \"default\": false\n    },\n    tabindex: {\n      type: String,\n      \"default\": null\n    },\n    autoZIndex: {\n      type: Boolean,\n      \"default\": true\n    },\n    baseZIndex: {\n      type: Number,\n      \"default\": 0\n    },\n    appendTo: {\n      type: [String, Object],\n      \"default\": 'body'\n    },\n    panelClass: null\n  },\n  style: ColorPickerStyle,\n  provide: function provide() {\n    return {\n      $pcColorPicker: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script = {\n  name: 'ColorPicker',\n  \"extends\": script$1,\n  inheritAttrs: false,\n  emits: ['update:modelValue', 'change', 'show', 'hide'],\n  data: function data() {\n    return {\n      overlayVisible: false\n    };\n  },\n  hsbValue: null,\n  outsideClickListener: null,\n  documentMouseMoveListener: null,\n  documentMouseUpListener: null,\n  scrollHandler: null,\n  resizeListener: null,\n  hueDragging: null,\n  colorDragging: null,\n  selfUpdate: null,\n  picker: null,\n  colorSelector: null,\n  colorHandle: null,\n  hueView: null,\n  hueHandle: null,\n  watch: {\n    modelValue: {\n      immediate: true,\n      handler: function handler(newValue) {\n        this.hsbValue = this.toHSB(newValue);\n        if (this.selfUpdate) this.selfUpdate = false;else this.updateUI();\n      }\n    }\n  },\n  beforeUnmount: function beforeUnmount() {\n    this.unbindOutsideClickListener();\n    this.unbindDragListeners();\n    this.unbindResizeListener();\n    if (this.scrollHandler) {\n      this.scrollHandler.destroy();\n      this.scrollHandler = null;\n    }\n    if (this.picker && this.autoZIndex) {\n      ZIndex.clear(this.picker);\n    }\n    this.clearRefs();\n  },\n  mounted: function mounted() {\n    this.updateUI();\n  },\n  methods: {\n    pickColor: function pickColor(event) {\n      var rect = this.colorSelector.getBoundingClientRect();\n      var top = rect.top + (window.pageYOffset || document.documentElement.scrollTop || document.body.scrollTop || 0);\n      var left = rect.left + document.body.scrollLeft;\n      var saturation = Math.floor(100 * Math.max(0, Math.min(150, (event.pageX || event.changedTouches[0].pageX) - left)) / 150);\n      var brightness = Math.floor(100 * (150 - Math.max(0, Math.min(150, (event.pageY || event.changedTouches[0].pageY) - top))) / 150);\n      this.hsbValue = this.validateHSB({\n        h: this.hsbValue.h,\n        s: saturation,\n        b: brightness\n      });\n      this.selfUpdate = true;\n      this.updateColorHandle();\n      this.updateInput();\n      this.updateModel(event);\n    },\n    pickHue: function pickHue(event) {\n      var top = this.hueView.getBoundingClientRect().top + (window.pageYOffset || document.documentElement.scrollTop || document.body.scrollTop || 0);\n      this.hsbValue = this.validateHSB({\n        h: Math.floor(360 * (150 - Math.max(0, Math.min(150, (event.pageY || event.changedTouches[0].pageY) - top))) / 150),\n        s: 100,\n        b: 100\n      });\n      this.selfUpdate = true;\n      this.updateColorSelector();\n      this.updateHue();\n      this.updateModel(event);\n      this.updateInput();\n    },\n    updateModel: function updateModel(event) {\n      var value = this.modelValue;\n      switch (this.format) {\n        case 'hex':\n          value = this.HSBtoHEX(this.hsbValue);\n          break;\n        case 'rgb':\n          value = this.HSBtoRGB(this.hsbValue);\n          break;\n        case 'hsb':\n          value = this.hsbValue;\n          break;\n      }\n      this.$emit('update:modelValue', value);\n      this.$emit('change', {\n        event: event,\n        value: value\n      });\n    },\n    updateColorSelector: function updateColorSelector() {\n      if (this.colorSelector) {\n        var hsbValue = this.validateHSB({\n          h: this.hsbValue.h,\n          s: 100,\n          b: 100\n        });\n        this.colorSelector.style.backgroundColor = '#' + this.HSBtoHEX(hsbValue);\n      }\n    },\n    updateColorHandle: function updateColorHandle() {\n      if (this.colorHandle) {\n        this.colorHandle.style.left = Math.floor(150 * this.hsbValue.s / 100) + 'px';\n        this.colorHandle.style.top = Math.floor(150 * (100 - this.hsbValue.b) / 100) + 'px';\n      }\n    },\n    updateHue: function updateHue() {\n      if (this.hueHandle) {\n        this.hueHandle.style.top = Math.floor(150 - 150 * this.hsbValue.h / 360) + 'px';\n      }\n    },\n    updateInput: function updateInput() {\n      if (this.$refs.input) {\n        this.$refs.input.style.backgroundColor = '#' + this.HSBtoHEX(this.hsbValue);\n      }\n    },\n    updateUI: function updateUI() {\n      this.updateHue();\n      this.updateColorHandle();\n      this.updateInput();\n      this.updateColorSelector();\n    },\n    validateHSB: function validateHSB(hsb) {\n      return {\n        h: Math.min(360, Math.max(0, hsb.h)),\n        s: Math.min(100, Math.max(0, hsb.s)),\n        b: Math.min(100, Math.max(0, hsb.b))\n      };\n    },\n    validateRGB: function validateRGB(rgb) {\n      return {\n        r: Math.min(255, Math.max(0, rgb.r)),\n        g: Math.min(255, Math.max(0, rgb.g)),\n        b: Math.min(255, Math.max(0, rgb.b))\n      };\n    },\n    validateHEX: function validateHEX(hex) {\n      var len = 6 - hex.length;\n      if (len > 0) {\n        var o = [];\n        for (var i = 0; i < len; i++) {\n          o.push('0');\n        }\n        o.push(hex);\n        hex = o.join('');\n      }\n      return hex;\n    },\n    HEXtoRGB: function HEXtoRGB(hex) {\n      var hexValue = parseInt(hex.indexOf('#') > -1 ? hex.substring(1) : hex, 16);\n      return {\n        r: hexValue >> 16,\n        g: (hexValue & 0x00ff00) >> 8,\n        b: hexValue & 0x0000ff\n      };\n    },\n    HEXtoHSB: function HEXtoHSB(hex) {\n      return this.RGBtoHSB(this.HEXtoRGB(hex));\n    },\n    RGBtoHSB: function RGBtoHSB(rgb) {\n      var hsb = {\n        h: 0,\n        s: 0,\n        b: 0\n      };\n      var min = Math.min(rgb.r, rgb.g, rgb.b);\n      var max = Math.max(rgb.r, rgb.g, rgb.b);\n      var delta = max - min;\n      hsb.b = max;\n      hsb.s = max !== 0 ? 255 * delta / max : 0;\n      if (hsb.s !== 0) {\n        if (rgb.r === max) {\n          hsb.h = (rgb.g - rgb.b) / delta;\n        } else if (rgb.g === max) {\n          hsb.h = 2 + (rgb.b - rgb.r) / delta;\n        } else {\n          hsb.h = 4 + (rgb.r - rgb.g) / delta;\n        }\n      } else {\n        hsb.h = -1;\n      }\n      hsb.h *= 60;\n      if (hsb.h < 0) {\n        hsb.h += 360;\n      }\n      hsb.s *= 100 / 255;\n      hsb.b *= 100 / 255;\n      return hsb;\n    },\n    HSBtoRGB: function HSBtoRGB(hsb) {\n      var rgb = {\n        r: null,\n        g: null,\n        b: null\n      };\n      var h = Math.round(hsb.h);\n      var s = Math.round(hsb.s * 255 / 100);\n      var v = Math.round(hsb.b * 255 / 100);\n      if (s === 0) {\n        rgb = {\n          r: v,\n          g: v,\n          b: v\n        };\n      } else {\n        var t1 = v;\n        var t2 = (255 - s) * v / 255;\n        var t3 = (t1 - t2) * (h % 60) / 60;\n        if (h === 360) h = 0;\n        if (h < 60) {\n          rgb.r = t1;\n          rgb.b = t2;\n          rgb.g = t2 + t3;\n        } else if (h < 120) {\n          rgb.g = t1;\n          rgb.b = t2;\n          rgb.r = t1 - t3;\n        } else if (h < 180) {\n          rgb.g = t1;\n          rgb.r = t2;\n          rgb.b = t2 + t3;\n        } else if (h < 240) {\n          rgb.b = t1;\n          rgb.r = t2;\n          rgb.g = t1 - t3;\n        } else if (h < 300) {\n          rgb.b = t1;\n          rgb.g = t2;\n          rgb.r = t2 + t3;\n        } else if (h < 360) {\n          rgb.r = t1;\n          rgb.g = t2;\n          rgb.b = t1 - t3;\n        } else {\n          rgb.r = 0;\n          rgb.g = 0;\n          rgb.b = 0;\n        }\n      }\n      return {\n        r: Math.round(rgb.r),\n        g: Math.round(rgb.g),\n        b: Math.round(rgb.b)\n      };\n    },\n    RGBtoHEX: function RGBtoHEX(rgb) {\n      var hex = [rgb.r.toString(16), rgb.g.toString(16), rgb.b.toString(16)];\n      for (var key in hex) {\n        if (hex[key].length === 1) {\n          hex[key] = '0' + hex[key];\n        }\n      }\n      return hex.join('');\n    },\n    HSBtoHEX: function HSBtoHEX(hsb) {\n      return this.RGBtoHEX(this.HSBtoRGB(hsb));\n    },\n    toHSB: function toHSB(value) {\n      var hsb;\n      if (value) {\n        switch (this.format) {\n          case 'hex':\n            hsb = this.HEXtoHSB(value);\n            break;\n          case 'rgb':\n            hsb = this.RGBtoHSB(value);\n            break;\n          case 'hsb':\n            hsb = value;\n            break;\n        }\n      } else {\n        hsb = this.HEXtoHSB(this.defaultColor);\n      }\n      return hsb;\n    },\n    onOverlayEnter: function onOverlayEnter(el) {\n      this.updateUI();\n      this.alignOverlay();\n      this.bindOutsideClickListener();\n      this.bindScrollListener();\n      this.bindResizeListener();\n      if (this.autoZIndex) {\n        ZIndex.set('overlay', el, this.baseZIndex, this.$primevue.config.zIndex.overlay);\n      }\n      this.$emit('show');\n    },\n    onOverlayLeave: function onOverlayLeave() {\n      this.unbindOutsideClickListener();\n      this.unbindScrollListener();\n      this.unbindResizeListener();\n      this.clearRefs();\n      this.$emit('hide');\n    },\n    onOverlayAfterLeave: function onOverlayAfterLeave(el) {\n      if (this.autoZIndex) {\n        ZIndex.clear(el);\n      }\n    },\n    alignOverlay: function alignOverlay() {\n      if (this.appendTo === 'self') relativePosition(this.picker, this.$refs.input);else absolutePosition(this.picker, this.$refs.input);\n    },\n    onInputClick: function onInputClick() {\n      if (this.disabled) {\n        return;\n      }\n      this.overlayVisible = !this.overlayVisible;\n    },\n    onInputKeydown: function onInputKeydown(event) {\n      switch (event.code) {\n        case 'Space':\n          this.overlayVisible = !this.overlayVisible;\n          event.preventDefault();\n          break;\n        case 'Escape':\n        case 'Tab':\n          this.overlayVisible = false;\n          break;\n      }\n    },\n    onColorMousedown: function onColorMousedown(event) {\n      if (this.disabled) {\n        return;\n      }\n      this.bindDragListeners();\n      this.onColorDragStart(event);\n    },\n    onColorDragStart: function onColorDragStart(event) {\n      if (this.disabled) {\n        return;\n      }\n      this.colorDragging = true;\n      this.pickColor(event);\n      this.$el.setAttribute('p-colorpicker-dragging', 'true');\n      !this.isUnstyled && addClass(this.$el, 'p-colorpicker-dragging');\n      event.preventDefault();\n    },\n    onDrag: function onDrag(event) {\n      if (this.colorDragging) {\n        this.pickColor(event);\n        event.preventDefault();\n      }\n      if (this.hueDragging) {\n        this.pickHue(event);\n        event.preventDefault();\n      }\n    },\n    onDragEnd: function onDragEnd() {\n      this.colorDragging = false;\n      this.hueDragging = false;\n      this.$el.setAttribute('p-colorpicker-dragging', 'false');\n      !this.isUnstyled && removeClass(this.$el, 'p-colorpicker-dragging');\n      this.unbindDragListeners();\n    },\n    onHueMousedown: function onHueMousedown(event) {\n      if (this.disabled) {\n        return;\n      }\n      this.bindDragListeners();\n      this.onHueDragStart(event);\n    },\n    onHueDragStart: function onHueDragStart(event) {\n      if (this.disabled) {\n        return;\n      }\n      this.hueDragging = true;\n      this.pickHue(event);\n      !this.isUnstyled && addClass(this.$el, 'p-colorpicker-dragging');\n    },\n    isInputClicked: function isInputClicked(event) {\n      return this.$refs.input && this.$refs.input.isSameNode(event.target);\n    },\n    bindDragListeners: function bindDragListeners() {\n      this.bindDocumentMouseMoveListener();\n      this.bindDocumentMouseUpListener();\n    },\n    unbindDragListeners: function unbindDragListeners() {\n      this.unbindDocumentMouseMoveListener();\n      this.unbindDocumentMouseUpListener();\n    },\n    bindOutsideClickListener: function bindOutsideClickListener() {\n      var _this = this;\n      if (!this.outsideClickListener) {\n        this.outsideClickListener = function (event) {\n          if (_this.overlayVisible && _this.picker && !_this.picker.contains(event.target) && !_this.isInputClicked(event)) {\n            _this.overlayVisible = false;\n          }\n        };\n        document.addEventListener('click', this.outsideClickListener);\n      }\n    },\n    unbindOutsideClickListener: function unbindOutsideClickListener() {\n      if (this.outsideClickListener) {\n        document.removeEventListener('click', this.outsideClickListener);\n        this.outsideClickListener = null;\n      }\n    },\n    bindScrollListener: function bindScrollListener() {\n      var _this2 = this;\n      if (!this.scrollHandler) {\n        this.scrollHandler = new ConnectedOverlayScrollHandler(this.$refs.container, function () {\n          if (_this2.overlayVisible) {\n            _this2.overlayVisible = false;\n          }\n        });\n      }\n      this.scrollHandler.bindScrollListener();\n    },\n    unbindScrollListener: function unbindScrollListener() {\n      if (this.scrollHandler) {\n        this.scrollHandler.unbindScrollListener();\n      }\n    },\n    bindResizeListener: function bindResizeListener() {\n      var _this3 = this;\n      if (!this.resizeListener) {\n        this.resizeListener = function () {\n          if (_this3.overlayVisible && !isTouchDevice()) {\n            _this3.overlayVisible = false;\n          }\n        };\n        window.addEventListener('resize', this.resizeListener);\n      }\n    },\n    unbindResizeListener: function unbindResizeListener() {\n      if (this.resizeListener) {\n        window.removeEventListener('resize', this.resizeListener);\n        this.resizeListener = null;\n      }\n    },\n    bindDocumentMouseMoveListener: function bindDocumentMouseMoveListener() {\n      if (!this.documentMouseMoveListener) {\n        this.documentMouseMoveListener = this.onDrag.bind(this);\n        document.addEventListener('mousemove', this.documentMouseMoveListener);\n      }\n    },\n    unbindDocumentMouseMoveListener: function unbindDocumentMouseMoveListener() {\n      if (this.documentMouseMoveListener) {\n        document.removeEventListener('mousemove', this.documentMouseMoveListener);\n        this.documentMouseMoveListener = null;\n      }\n    },\n    bindDocumentMouseUpListener: function bindDocumentMouseUpListener() {\n      if (!this.documentMouseUpListener) {\n        this.documentMouseUpListener = this.onDragEnd.bind(this);\n        document.addEventListener('mouseup', this.documentMouseUpListener);\n      }\n    },\n    unbindDocumentMouseUpListener: function unbindDocumentMouseUpListener() {\n      if (this.documentMouseUpListener) {\n        document.removeEventListener('mouseup', this.documentMouseUpListener);\n        this.documentMouseUpListener = null;\n      }\n    },\n    pickerRef: function pickerRef(el) {\n      this.picker = el;\n    },\n    colorSelectorRef: function colorSelectorRef(el) {\n      this.colorSelector = el;\n    },\n    colorHandleRef: function colorHandleRef(el) {\n      this.colorHandle = el;\n    },\n    hueViewRef: function hueViewRef(el) {\n      this.hueView = el;\n    },\n    hueHandleRef: function hueHandleRef(el) {\n      this.hueHandle = el;\n    },\n    clearRefs: function clearRefs() {\n      this.picker = null;\n      this.colorSelector = null;\n      this.colorHandle = null;\n      this.hueView = null;\n      this.hueHandle = null;\n    },\n    onOverlayClick: function onOverlayClick(event) {\n      OverlayEventBus.emit('overlay-click', {\n        originalEvent: event,\n        target: this.$el\n      });\n    }\n  },\n  components: {\n    Portal: Portal\n  }\n};\n\nvar _hoisted_1 = [\"tabindex\", \"disabled\"];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_Portal = resolveComponent(\"Portal\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    ref: \"container\",\n    \"class\": _ctx.cx('root')\n  }, _ctx.ptmi('root')), [!_ctx.inline ? (openBlock(), createElementBlock(\"input\", mergeProps({\n    key: 0,\n    ref: \"input\",\n    type: \"text\",\n    \"class\": _ctx.cx('preview'),\n    readonly: \"readonly\",\n    tabindex: _ctx.tabindex,\n    disabled: _ctx.disabled,\n    onClick: _cache[0] || (_cache[0] = function () {\n      return $options.onInputClick && $options.onInputClick.apply($options, arguments);\n    }),\n    onKeydown: _cache[1] || (_cache[1] = function () {\n      return $options.onInputKeydown && $options.onInputKeydown.apply($options, arguments);\n    })\n  }, _ctx.ptm('preview')), null, 16, _hoisted_1)) : createCommentVNode(\"\", true), createVNode(_component_Portal, {\n    appendTo: _ctx.appendTo,\n    disabled: _ctx.inline\n  }, {\n    \"default\": withCtx(function () {\n      return [createVNode(Transition, mergeProps({\n        name: \"p-connected-overlay\",\n        onEnter: $options.onOverlayEnter,\n        onLeave: $options.onOverlayLeave,\n        onAfterLeave: $options.onOverlayAfterLeave\n      }, _ctx.ptm('transition')), {\n        \"default\": withCtx(function () {\n          return [(_ctx.inline ? true : $data.overlayVisible) ? (openBlock(), createElementBlock(\"div\", mergeProps({\n            key: 0,\n            ref: $options.pickerRef,\n            \"class\": [_ctx.cx('panel'), _ctx.panelClass],\n            onClick: _cache[10] || (_cache[10] = function () {\n              return $options.onOverlayClick && $options.onOverlayClick.apply($options, arguments);\n            })\n          }, _ctx.ptm('panel')), [createElementVNode(\"div\", mergeProps({\n            \"class\": _ctx.cx('content')\n          }, _ctx.ptm('content')), [createElementVNode(\"div\", mergeProps({\n            ref: $options.colorSelectorRef,\n            \"class\": _ctx.cx('colorSelector'),\n            onMousedown: _cache[2] || (_cache[2] = function ($event) {\n              return $options.onColorMousedown($event);\n            }),\n            onTouchstart: _cache[3] || (_cache[3] = function ($event) {\n              return $options.onColorDragStart($event);\n            }),\n            onTouchmove: _cache[4] || (_cache[4] = function ($event) {\n              return $options.onDrag($event);\n            }),\n            onTouchend: _cache[5] || (_cache[5] = function ($event) {\n              return $options.onDragEnd();\n            })\n          }, _ctx.ptm('colorSelector')), [createElementVNode(\"div\", mergeProps({\n            \"class\": _ctx.cx('colorBackground')\n          }, _ctx.ptm('colorBackground')), [createElementVNode(\"div\", mergeProps({\n            ref: $options.colorHandleRef,\n            \"class\": _ctx.cx('colorHandle')\n          }, _ctx.ptm('colorHandle')), null, 16)], 16)], 16), createElementVNode(\"div\", mergeProps({\n            ref: $options.hueViewRef,\n            \"class\": _ctx.cx('hue'),\n            onMousedown: _cache[6] || (_cache[6] = function ($event) {\n              return $options.onHueMousedown($event);\n            }),\n            onTouchstart: _cache[7] || (_cache[7] = function ($event) {\n              return $options.onHueDragStart($event);\n            }),\n            onTouchmove: _cache[8] || (_cache[8] = function ($event) {\n              return $options.onDrag($event);\n            }),\n            onTouchend: _cache[9] || (_cache[9] = function ($event) {\n              return $options.onDragEnd();\n            })\n          }, _ctx.ptm('hue')), [createElementVNode(\"div\", mergeProps({\n            ref: $options.hueHandleRef,\n            \"class\": _ctx.cx('hueHandle')\n          }, _ctx.ptm('hueHandle')), null, 16)], 16)], 16)], 16)) : createCommentVNode(\"\", true)];\n        }),\n        _: 1\n      }, 16, [\"onEnter\", \"onLeave\", \"onAfterLeave\"])];\n    }),\n    _: 1\n  }, 8, [\"appendTo\", \"disabled\"])], 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <Dialog v-model:visible=\"visible\" :header=\"$t('customizeFolder')\">\n    <div class=\"p-fluid\">\n      <div class=\"field icon-field\">\n        <label for=\"icon\">{{ $t('icon') }}</label>\n        <SelectButton\n          v-model=\"selectedIcon\"\n          :options=\"iconOptions\"\n          optionLabel=\"name\"\n          dataKey=\"value\"\n        >\n          <template #option=\"slotProps\">\n            <i\n              :class=\"['pi', slotProps.option.value, 'mr-2']\"\n              :style=\"{ color: finalColor }\"\n            ></i>\n          </template>\n        </SelectButton>\n      </div>\n      <Divider />\n      <div class=\"field color-field\">\n        <label for=\"color\">{{ $t('color') }}</label>\n        <div class=\"color-picker-container\">\n          <SelectButton\n            v-model=\"selectedColor\"\n            :options=\"colorOptions\"\n            optionLabel=\"name\"\n            dataKey=\"value\"\n          >\n            <template #option=\"slotProps\">\n              <div\n                v-if=\"slotProps.option.value !== 'custom'\"\n                :style=\"{\n                  width: '20px',\n                  height: '20px',\n                  backgroundColor: slotProps.option.value,\n                  borderRadius: '50%'\n                }\"\n              ></div>\n              <i\n                v-else\n                class=\"pi pi-palette\"\n                :style=\"{ fontSize: '1.2rem' }\"\n                v-tooltip=\"$t('customColor')\"\n              ></i>\n            </template>\n          </SelectButton>\n          <ColorPicker\n            v-if=\"selectedColor.value === 'custom'\"\n            v-model=\"customColor\"\n          />\n        </div>\n      </div>\n    </div>\n    <template #footer>\n      <Button\n        :label=\"$t('reset')\"\n        icon=\"pi pi-refresh\"\n        @click=\"resetCustomization\"\n        class=\"p-button-text\"\n      />\n      <Button\n        :label=\"$t('confirm')\"\n        icon=\"pi pi-check\"\n        @click=\"confirmCustomization\"\n        autofocus\n      />\n    </template>\n  </Dialog>\n</template>\n\n<script setup lang=\"ts\">\nimport { ref, computed, watch } from 'vue'\nimport Dialog from 'primevue/dialog'\nimport SelectButton from 'primevue/selectbutton'\nimport Button from 'primevue/button'\nimport Divider from 'primevue/divider'\nimport ColorPicker from 'primevue/colorpicker'\nimport { useNodeBookmarkStore } from '@/stores/nodeBookmarkStore'\nimport { useI18n } from 'vue-i18n'\n\nconst { t } = useI18n()\n\nconst props = defineProps<{\n  modelValue: boolean\n  initialIcon?: string\n  initialColor?: string\n}>()\n\nconst emit = defineEmits<{\n  (e: 'update:modelValue', value: boolean): void\n  (e: 'confirm', icon: string, color: string): void\n}>()\n\nconst visible = computed({\n  get: () => props.modelValue,\n  set: (value) => emit('update:modelValue', value)\n})\n\nconst nodeBookmarkStore = useNodeBookmarkStore()\n\nconst iconOptions = [\n  { name: t('bookmark'), value: nodeBookmarkStore.defaultBookmarkIcon },\n  { name: t('folder'), value: 'pi-folder' },\n  { name: t('star'), value: 'pi-star' },\n  { name: t('heart'), value: 'pi-heart' },\n  { name: t('file'), value: 'pi-file' },\n  { name: t('inbox'), value: 'pi-inbox' },\n  { name: t('box'), value: 'pi-box' },\n  { name: t('briefcase'), value: 'pi-briefcase' }\n]\n\nconst colorOptions = [\n  { name: t('default'), value: nodeBookmarkStore.defaultBookmarkColor },\n  { name: t('blue'), value: '#007bff' },\n  { name: t('green'), value: '#28a745' },\n  { name: t('red'), value: '#dc3545' },\n  { name: t('pink'), value: '#e83e8c' },\n  { name: t('yellow'), value: '#ffc107' },\n  { name: t('custom'), value: 'custom' }\n]\n\nconst defaultIcon = iconOptions.find(\n  (option) => option.value === nodeBookmarkStore.defaultBookmarkIcon\n)\nconst defaultColor = colorOptions.find(\n  (option) => option.value === nodeBookmarkStore.defaultBookmarkColor\n)\n\nconst selectedIcon = ref<{ name: string; value: string }>(defaultIcon)\nconst selectedColor = ref<{ name: string; value: string }>(defaultColor)\nconst finalColor = computed(() =>\n  selectedColor.value.value === 'custom'\n    ? `#${customColor.value}`\n    : selectedColor.value.value\n)\n\nconst customColor = ref('000000')\n\nconst closeDialog = () => {\n  visible.value = false\n}\n\nconst confirmCustomization = () => {\n  emit('confirm', selectedIcon.value.value, finalColor.value)\n  closeDialog()\n}\n\nconst resetCustomization = () => {\n  selectedIcon.value =\n    iconOptions.find((option) => option.value === props.initialIcon) ||\n    defaultIcon\n  const colorOption = colorOptions.find(\n    (option) => option.value === props.initialColor\n  )\n  if (!props.initialColor) {\n    selectedColor.value = defaultColor\n  } else if (!colorOption) {\n    customColor.value = props.initialColor.replace('#', '')\n    selectedColor.value = { name: 'Custom', value: 'custom' }\n  } else {\n    selectedColor.value = colorOption\n  }\n}\n\nwatch(\n  () => props.modelValue,\n  (newValue: boolean) => {\n    if (newValue) {\n      resetCustomization()\n    }\n  },\n  { immediate: true }\n)\n</script>\n\n<style scoped>\n.p-selectbutton .p-button {\n  padding: 0.5rem;\n}\n\n.p-selectbutton .p-button .pi {\n  font-size: 1.5rem;\n}\n\n.field {\n  display: flex;\n  flex-direction: column;\n  gap: 0.5rem;\n}\n\n.color-picker-container {\n  display: flex;\n  align-items: center;\n  gap: 0.5rem;\n}\n</style>\n","import { ref } from 'vue'\nimport type { TreeNode } from 'primevue/treenode'\n\nexport function useTreeExpansion() {\n  const expandedKeys = ref<Record<string, boolean>>({})\n\n  const toggleNode = (node: TreeNode) => {\n    if (node.key && typeof node.key === 'string') {\n      if (node.key in expandedKeys.value) {\n        delete expandedKeys.value[node.key]\n      } else {\n        expandedKeys.value[node.key] = true\n      }\n    }\n  }\n\n  const toggleNodeRecursive = (node: TreeNode) => {\n    if (node.key && typeof node.key === 'string') {\n      if (node.key in expandedKeys.value) {\n        collapseNode(node)\n      } else {\n        expandNode(node)\n      }\n    }\n  }\n\n  const expandNode = (node: TreeNode) => {\n    if (\n      node.key &&\n      typeof node.key === 'string' &&\n      node.children &&\n      node.children.length\n    ) {\n      expandedKeys.value[node.key] = true\n\n      for (const child of node.children) {\n        expandNode(child)\n      }\n    }\n  }\n\n  const collapseNode = (node: TreeNode) => {\n    if (\n      node.key &&\n      typeof node.key === 'string' &&\n      node.children &&\n      node.children.length\n    ) {\n      delete expandedKeys.value[node.key]\n\n      for (const child of node.children) {\n        collapseNode(child)\n      }\n    }\n  }\n\n  const toggleNodeOnEvent = (e: MouseEvent | KeyboardEvent, node: TreeNode) => {\n    if (e.ctrlKey) {\n      toggleNodeRecursive(node)\n    } else {\n      toggleNode(node)\n    }\n  }\n\n  return {\n    expandedKeys,\n    toggleNode,\n    toggleNodeRecursive,\n    expandNode,\n    collapseNode,\n    toggleNodeOnEvent\n  }\n}\n","<template>\n  <SidebarTabTemplate :title=\"$t('sideToolbar.nodeLibrary')\">\n    <template #tool-buttons>\n      <Button\n        class=\"new-folder-button\"\n        icon=\"pi pi-folder-plus\"\n        text\n        severity=\"secondary\"\n        @click=\"addNewBookmarkFolder()\"\n        v-tooltip=\"$t('newFolder')\"\n      />\n      <Button\n        class=\"sort-button\"\n        :icon=\"alphabeticalSort ? 'pi pi-sort-alpha-down' : 'pi pi-sort-alt'\"\n        text\n        severity=\"secondary\"\n        @click=\"alphabeticalSort = !alphabeticalSort\"\n        v-tooltip=\"$t('sideToolbar.nodeLibraryTab.sortOrder')\"\n      />\n    </template>\n    <template #body>\n      <SearchBox\n        class=\"node-lib-search-box\"\n        v-model:modelValue=\"searchQuery\"\n        @search=\"handleSearch\"\n        @show-filter=\"($event) => searchFilter.toggle($event)\"\n        @remove-filter=\"onRemoveFilter\"\n        :placeholder=\"$t('searchNodes') + '...'\"\n        filter-icon=\"pi pi-filter\"\n        :filters\n      />\n\n      <Popover ref=\"searchFilter\" class=\"node-lib-filter-popup\">\n        <NodeSearchFilter @addFilter=\"onAddFilter\" />\n      </Popover>\n\n      <Tree\n        class=\"node-lib-tree\"\n        v-model:expandedKeys=\"expandedKeys\"\n        selectionMode=\"single\"\n        :value=\"renderedRoot.children\"\n        :pt=\"{\n          nodeLabel: 'node-lib-tree-node-label',\n          nodeContent: ({ props }) => ({\n            onClick: (e: MouseEvent) => onNodeContentClick(e, props.node),\n            onMouseenter: (event: MouseEvent) =>\n              handleNodeHover(event, props.node?.data?.name),\n            onMouseleave: () => {\n              hoveredComfyNodeName = null\n            },\n            onContextmenu: (e: MouseEvent) => handleContextMenu(props.node, e)\n          }),\n          nodeToggleButton: () => ({\n            onClick: (e: MouseEvent) => {\n              // Prevent toggle action as the node controls it\n              e.stopImmediatePropagation()\n            }\n          })\n        }\"\n      >\n        <template #folder=\"{ node }\">\n          <NodeTreeFolder\n            :node=\"node\"\n            :isBookmarkFolder=\"!!node.data && node.data.isDummyFolder\"\n            @itemDropped=\"handleItemDropped\"\n          >\n            <template #folder-label=\"{ node }\">\n              <EditableText\n                :modelValue=\"node.label\"\n                :isEditing=\"renameEditingNode?.key === node.key\"\n                @edit=\"(newName: string) => handleRename(node, newName)\"\n              />\n            </template>\n          </NodeTreeFolder>\n        </template>\n        <template #node=\"{ node }\">\n          <NodeTreeLeaf\n            :node=\"node.data\"\n            :isBookmarked=\"nodeBookmarkStore.isBookmarked(node.data)\"\n            @toggleBookmark=\"nodeBookmarkStore.toggleBookmark(node.data)\"\n          />\n        </template>\n      </Tree>\n      <div\n        v-if=\"hoveredComfyNode\"\n        class=\"node-lib-node-preview\"\n        :style=\"nodePreviewStyle\"\n      >\n        <NodePreview\n          ref=\"previewRef\"\n          :key=\"hoveredComfyNode.name\"\n          :nodeDef=\"hoveredComfyNode\"\n        ></NodePreview>\n      </div>\n    </template>\n  </SidebarTabTemplate>\n  <ContextMenu ref=\"menu\" :model=\"menuItems\" />\n  <FolderCustomizationDialog\n    v-model=\"showCustomizationDialog\"\n    @confirm=\"updateCustomization\"\n    :initialIcon=\"initialIcon\"\n    :initialColor=\"initialColor\"\n  />\n</template>\n\n<script setup lang=\"ts\">\nimport Button from 'primevue/button'\nimport { useNodeBookmarkStore } from '@/stores/nodeBookmarkStore'\nimport {\n  buildNodeDefTree,\n  ComfyNodeDefImpl,\n  useNodeDefStore\n} from '@/stores/nodeDefStore'\nimport { computed, ref, nextTick, Ref } from 'vue'\nimport type { TreeNode } from 'primevue/treenode'\nimport Popover from 'primevue/popover'\nimport NodeTreeLeaf from './nodeLibrary/NodeTreeLeaf.vue'\nimport NodeTreeFolder from './nodeLibrary/NodeTreeFolder.vue'\nimport Tree from 'primevue/tree'\nimport ContextMenu from 'primevue/contextmenu'\nimport EditableText from '@/components/common/EditableText.vue'\nimport NodePreview from '@/components/node/NodePreview.vue'\nimport SearchBox from '@/components/common/SearchBox.vue'\nimport FolderCustomizationDialog from '@/components/common/CustomizationDialog.vue'\nimport SidebarTabTemplate from '@/components/sidebar/tabs/SidebarTabTemplate.vue'\nimport { useSettingStore } from '@/stores/settingStore'\nimport { app } from '@/scripts/app'\nimport { findNodeByKey, sortedTree } from '@/utils/treeUtil'\nimport { useTreeExpansion } from '@/hooks/treeHooks'\nimport type { MenuItem } from 'primevue/menuitem'\nimport { useI18n } from 'vue-i18n'\nimport { useToast } from 'primevue/usetoast'\nimport NodeSearchFilter from '@/components/searchbox/NodeSearchFilter.vue'\nimport { FilterAndValue } from '@/services/nodeSearchService'\nimport { SearchFilter } from '@/components/common/SearchFilterChip.vue'\n\nconst { t } = useI18n()\nconst toast = useToast()\nconst nodeDefStore = useNodeDefStore()\nconst { expandedKeys, expandNode, toggleNodeOnEvent } = useTreeExpansion()\n\nconst searchFilter = ref(null)\nconst alphabeticalSort = ref(false)\nconst hoveredComfyNodeName = ref<string | null>(null)\nconst hoveredComfyNode = computed<ComfyNodeDefImpl | null>(() => {\n  if (!hoveredComfyNodeName.value) {\n    return null\n  }\n  return nodeDefStore.nodeDefsByName[hoveredComfyNodeName.value] || null\n})\nconst previewRef = ref<InstanceType<typeof NodePreview> | null>(null)\nconst searchQuery = ref<string>('')\n\nconst settingStore = useSettingStore()\nconst sidebarLocation = computed<'left' | 'right'>(() =>\n  settingStore.get('Comfy.Sidebar.Location')\n)\n\nconst nodePreviewStyle = ref<Record<string, string>>({\n  position: 'absolute',\n  top: '0px',\n  left: '0px'\n})\n\nconst nodeBookmarkStore = useNodeBookmarkStore()\n\nconst allNodesRoot = computed<TreeNode>(() => {\n  return {\n    key: 'all-nodes',\n    label: 'All Nodes',\n    children: [\n      ...(nodeBookmarkStore.bookmarkedRoot.children ?? []),\n      ...nodeDefStore.nodeTree.children\n    ]\n  }\n})\n\nconst root = computed(() => {\n  const root = filteredRoot.value || allNodesRoot.value\n  return alphabeticalSort.value ? sortedTree(root) : root\n})\n\nconst renderedRoot = computed(() => {\n  return fillNodeInfo(root.value)\n})\n\nconst getTreeNodeIcon = (node: TreeNode) => {\n  if (node.leaf) {\n    return 'pi pi-circle-fill'\n  }\n\n  // If the node is a bookmark folder, show a bookmark icon\n  if (node.data && node.data.isDummyFolder) {\n    const customization =\n      nodeBookmarkStore.bookmarksCustomization[node.data.nodePath]\n    if (customization?.icon) {\n      return 'pi ' + customization.icon\n    }\n    return 'pi pi-bookmark-fill'\n  }\n\n  const isExpanded = expandedKeys.value[node.key]\n  return isExpanded ? 'pi pi-folder-open' : 'pi pi-folder'\n}\n\nconst fillNodeInfo = (node: TreeNode): TreeNode => {\n  const children = node.children?.map(fillNodeInfo)\n\n  return {\n    ...node,\n    icon: getTreeNodeIcon(node),\n    children,\n    type: node.leaf ? 'node' : 'folder',\n    totalNodes: node.leaf\n      ? 1\n      : children.reduce((acc, child) => acc + child.totalNodes, 0)\n  }\n}\n\nconst handleNodeHover = async (\n  event: MouseEvent,\n  nodeName: string | undefined\n) => {\n  hoveredComfyNodeName.value = nodeName || null\n\n  if (!nodeName) return\n\n  const hoverTarget = event.target as HTMLElement\n  const targetRect = hoverTarget.getBoundingClientRect()\n\n  await nextTick()\n\n  const previewHeight = previewRef.value?.$el.offsetHeight || 0\n  const availableSpaceBelow = window.innerHeight - targetRect.bottom\n\n  nodePreviewStyle.value.top =\n    previewHeight > availableSpaceBelow\n      ? `${Math.max(0, targetRect.top - (previewHeight - availableSpaceBelow) - 20)}px`\n      : `${targetRect.top - 40}px`\n  if (sidebarLocation.value === 'left') {\n    nodePreviewStyle.value.left = `${targetRect.right}px`\n  } else {\n    nodePreviewStyle.value.left = `${targetRect.left - 400}px`\n  }\n}\n\nconst handleItemDropped = (node: TreeNode) => {\n  expandedKeys.value[node.key] = true\n}\n\nconst insertNode = (nodeDef: ComfyNodeDefImpl) => {\n  app.addNodeOnGraph(nodeDef, { pos: app.getCanvasCenter() })\n}\n\nconst filteredRoot = ref<TreeNode | null>(null)\nconst filters: Ref<Array<SearchFilter & { filter: FilterAndValue<string> }>> =\n  ref([])\nconst handleSearch = (query: string) => {\n  if (query.length < 3 && !filters.value.length) {\n    filteredRoot.value = null\n    expandedKeys.value = {}\n    return\n  }\n\n  const f = filters.value.map((f) => f.filter as FilterAndValue<string>)\n  const matchedNodes = nodeDefStore.nodeSearchService.searchNode(\n    query,\n    f,\n    {\n      limit: 64\n    },\n    {\n      matchWildcards: false\n    }\n  )\n\n  filteredRoot.value = buildNodeDefTree(matchedNodes)\n  expandNode(filteredRoot.value)\n}\n\nconst onNodeContentClick = (e: MouseEvent, node: TreeNode) => {\n  if (!node.key) return\n  if (node.type === 'folder') {\n    toggleNodeOnEvent(e, node)\n  } else {\n    insertNode(node.data)\n  }\n}\n\nconst menu = ref(null)\nconst menuTargetNode = ref<TreeNode | null>(null)\nconst renameEditingNode = ref<TreeNode | null>(null)\nconst menuItems = computed<MenuItem[]>(() => [\n  {\n    label: t('newFolder'),\n    icon: 'pi pi-folder-plus',\n    command: () => {\n      if (menuTargetNode.value?.data) {\n        addNewBookmarkFolder(menuTargetNode.value?.data)\n      }\n    }\n  },\n  {\n    label: t('delete'),\n    icon: 'pi pi-trash',\n    command: () => {\n      if (menuTargetNode.value?.data) {\n        nodeBookmarkStore.deleteBookmarkFolder(menuTargetNode.value.data)\n      }\n    }\n  },\n  {\n    label: t('rename'),\n    icon: 'pi pi-file-edit',\n    command: () => {\n      renameEditingNode.value = menuTargetNode.value\n    }\n  },\n  {\n    label: t('customize'),\n    icon: 'pi pi-palette',\n    command: () => {\n      initialIcon.value =\n        nodeBookmarkStore.bookmarksCustomization[\n          menuTargetNode.value.data.nodePath\n        ]?.icon || nodeBookmarkStore.defaultBookmarkIcon\n      initialColor.value =\n        nodeBookmarkStore.bookmarksCustomization[\n          menuTargetNode.value.data.nodePath\n        ]?.color || nodeBookmarkStore.defaultBookmarkColor\n      showCustomizationDialog.value = true\n    }\n  }\n])\n\nconst handleContextMenu = (node: TreeNode, e: MouseEvent) => {\n  const nodeDef = node.data as ComfyNodeDefImpl\n  if (nodeDef?.isDummyFolder) {\n    menuTargetNode.value = node\n    menu.value?.show(e)\n  }\n}\n\nconst handleRename = (node: TreeNode, newName: string) => {\n  if (node.data && node.data.isDummyFolder) {\n    try {\n      nodeBookmarkStore.renameBookmarkFolder(node.data, newName)\n    } catch (e) {\n      toast.add({\n        severity: 'error',\n        summary: t('error'),\n        detail: e.message,\n        life: 3000\n      })\n    }\n  }\n  renameEditingNode.value = null\n}\n\nconst addNewBookmarkFolder = (parent?: ComfyNodeDefImpl) => {\n  const newFolderKey =\n    'root/' + nodeBookmarkStore.addNewBookmarkFolder(parent).slice(0, -1)\n  nextTick(() => {\n    renameEditingNode.value = findNodeByKey(renderedRoot.value, newFolderKey)\n  })\n}\n\nconst showCustomizationDialog = ref(false)\nconst initialIcon = ref(nodeBookmarkStore.defaultBookmarkIcon)\nconst initialColor = ref(nodeBookmarkStore.defaultBookmarkColor)\nconst updateCustomization = (icon: string, color: string) => {\n  if (menuTargetNode.value?.data) {\n    nodeBookmarkStore.updateBookmarkCustomization(\n      menuTargetNode.value.data.nodePath,\n      { icon, color }\n    )\n  }\n}\n\nconst onAddFilter = (filterAndValue: FilterAndValue) => {\n  filters.value.push({\n    filter: filterAndValue,\n    badge: filterAndValue[0].invokeSequence.toUpperCase(),\n    badgeClass: filterAndValue[0].invokeSequence + '-badge',\n    text: filterAndValue[1],\n    id: +new Date()\n  })\n\n  handleSearch(searchQuery.value)\n}\n\nconst onRemoveFilter = (filterAndValue) => {\n  const index = filters.value.findIndex((f) => f === filterAndValue)\n  if (index !== -1) {\n    filters.value.splice(index, 1)\n  }\n  handleSearch(searchQuery.value)\n}\n</script>\n\n<style>\n.node-lib-tree-node-label {\n  display: flex;\n  align-items: center;\n  margin-left: var(--p-tree-node-gap);\n  flex-grow: 1;\n}\n\n.node-lib-filter-popup {\n  margin-left: -13px;\n}\n</style>\n\n<style scoped>\n:deep(.node-lib-search-box) {\n  @apply mx-4 mt-4;\n}\n\n:deep(.comfy-vue-side-bar-body) {\n  background: var(--p-tree-background);\n}\n\n/*\n * The following styles are necessary to avoid layout shift when dragging nodes over folders.\n * By setting the position to relative on the parent and using an absolutely positioned pseudo-element,\n * we can create a visual indicator for the drop target without affecting the layout of other elements.\n */\n:deep(.p-tree-node-content:has(.node-tree-folder)) {\n  position: relative;\n}\n\n:deep(.p-tree-node-content:has(.node-tree-folder.can-drop))::after {\n  content: '';\n  position: absolute;\n  top: 0;\n  left: 0;\n  right: 0;\n  bottom: 0;\n  border: 1px solid var(--p-content-color);\n  pointer-events: none;\n}\n</style>\n","<!-- The main global dialog to show various things -->\n<template>\n  <Dialog\n    v-model:visible=\"dialogStore.isVisible\"\n    modal\n    closable\n    closeOnEscape\n    dismissableMask\n    :maximizable=\"maximizable\"\n    :maximized=\"maximized\"\n    @hide=\"dialogStore.closeDialog\"\n    @maximize=\"onMaximize\"\n    @unmaximize=\"onUnmaximize\"\n  >\n    <template #header>\n      <component\n        v-if=\"dialogStore.headerComponent\"\n        :is=\"dialogStore.headerComponent\"\n      />\n      <h3 v-else>{{ dialogStore.title || ' ' }}</h3>\n    </template>\n\n    <component :is=\"dialogStore.component\" v-bind=\"contentProps\" />\n  </Dialog>\n</template>\n\n<script setup lang=\"ts\">\nimport { computed, ref } from 'vue'\nimport { useDialogStore } from '@/stores/dialogStore'\nimport Dialog from 'primevue/dialog'\n\nconst dialogStore = useDialogStore()\nconst maximizable = computed(() => dialogStore.props.maximizable ?? false)\nconst maximized = ref(false)\n\nconst onMaximize = () => {\n  maximized.value = true\n}\n\nconst onUnmaximize = () => {\n  maximized.value = false\n}\n\nconst contentProps = computed(() => ({\n  ...dialogStore.props,\n  maximized: maximized.value\n}))\n</script>\n","import BaseStyle from '@primevue/core/base/style';\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar theme = function theme(_ref) {\n  var dt = _ref.dt;\n  return \"\\n.p-toast {\\n    width: \".concat(dt('toast.width'), \";\\n    white-space: pre-line;\\n    word-break: break-word;\\n}\\n\\n.p-toast-message {\\n    margin: 0 0 1rem 0;\\n}\\n\\n.p-toast-message-icon {\\n    flex-shrink: 0;\\n    font-size: \").concat(dt('toast.icon.size'), \";\\n    width: \").concat(dt('toast.icon.size'), \";\\n    height: \").concat(dt('toast.icon.size'), \";\\n}\\n\\n.p-toast-message-content {\\n    display: flex;\\n    align-items: flex-start;\\n    padding: \").concat(dt('toast.content.padding'), \";\\n    gap: \").concat(dt('toast.content.gap'), \";\\n}\\n\\n.p-toast-message-text {\\n    flex: 1 1 auto;\\n    display: flex;\\n    flex-direction: column;\\n    gap: \").concat(dt('toast.text.gap'), \";\\n}\\n\\n.p-toast-summary {\\n    font-weight: \").concat(dt('toast.summary.font.weight'), \";\\n    font-size: \").concat(dt('toast.summary.font.size'), \";\\n}\\n\\n.p-toast-detail {\\n    font-weight: \").concat(dt('toast.detail.font.weight'), \";\\n    font-size: \").concat(dt('toast.detail.font.size'), \";\\n}\\n\\n.p-toast-close-button {\\n    display: flex;\\n    align-items: center;\\n    justify-content: center;\\n    overflow: hidden;\\n    position: relative;\\n    cursor: pointer;\\n    background: transparent;\\n    transition: background \").concat(dt('toast.transition.duration'), \", color \").concat(dt('toast.transition.duration'), \", outline-color \").concat(dt('toast.transition.duration'), \", box-shadow \").concat(dt('toast.transition.duration'), \";\\n    outline-color: transparent;\\n    color: inherit;\\n    width: \").concat(dt('toast.close.button.width'), \";\\n    height: \").concat(dt('toast.close.button.height'), \";\\n    border-radius: \").concat(dt('toast.close.button.border.radius'), \";\\n    margin: -25% 0 0 0;\\n    right: -25%;\\n    padding: 0;\\n    border: none;\\n    user-select: none;\\n}\\n\\n.p-toast-message-info,\\n.p-toast-message-success,\\n.p-toast-message-warn,\\n.p-toast-message-error,\\n.p-toast-message-secondary,\\n.p-toast-message-contrast {\\n    border-width: \").concat(dt('toast.border.width'), \";\\n    border-style: solid;\\n    backdrop-filter: blur(\").concat(dt('toast.blur'), \");\\n    border-radius: \").concat(dt('toast.border.radius'), \";\\n}\\n\\n.p-toast-close-icon {\\n    font-size: \").concat(dt('toast.close.icon.size'), \";\\n    width: \").concat(dt('toast.close.icon.size'), \";\\n    height: \").concat(dt('toast.close.icon.size'), \";\\n}\\n\\n.p-toast-close-button:focus-visible {\\n    outline-width: \").concat(dt('focus.ring.width'), \";\\n    outline-style: \").concat(dt('focus.ring.style'), \";\\n    outline-offset: \").concat(dt('focus.ring.offset'), \";\\n}\\n\\n.p-toast-message-info {\\n    background: \").concat(dt('toast.info.background'), \";\\n    border-color: \").concat(dt('toast.info.border.color'), \";\\n    color: \").concat(dt('toast.info.color'), \";\\n    box-shadow: \").concat(dt('toast.info.shadow'), \";\\n}\\n\\n.p-toast-message-info .p-toast-detail {\\n    color: \").concat(dt('toast.info.detail.color'), \";\\n}\\n\\n.p-toast-message-info .p-toast-close-button:focus-visible {\\n    outline-color: \").concat(dt('toast.info.close.button.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('toast.info.close.button.focus.ring.shadow'), \";\\n}\\n\\n.p-toast-message-info .p-toast-close-button:hover {\\n    background: \").concat(dt('toast.info.close.button.hover.background'), \";\\n}\\n\\n.p-toast-message-success {\\n    background: \").concat(dt('toast.success.background'), \";\\n    border-color: \").concat(dt('toast.success.border.color'), \";\\n    color: \").concat(dt('toast.success.color'), \";\\n    box-shadow: \").concat(dt('toast.success.shadow'), \";\\n}\\n\\n.p-toast-message-success .p-toast-detail {\\n    color: \").concat(dt('toast.success.detail.color'), \";\\n}\\n\\n.p-toast-message-success .p-toast-close-button:focus-visible {\\n    outline-color: \").concat(dt('toast.success.close.button.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('toast.success.close.button.focus.ring.shadow'), \";\\n}\\n\\n.p-toast-message-success .p-toast-close-button:hover {\\n    background: \").concat(dt('toast.success.close.button.hover.background'), \";\\n}\\n\\n.p-toast-message-warn {\\n    background: \").concat(dt('toast.warn.background'), \";\\n    border-color: \").concat(dt('toast.warn.border.color'), \";\\n    color: \").concat(dt('toast.warn.color'), \";\\n    box-shadow: \").concat(dt('toast.warn.shadow'), \";\\n}\\n\\n.p-toast-message-warn .p-toast-detail {\\n    color: \").concat(dt('toast.warn.detail.color'), \";\\n}\\n\\n.p-toast-message-warn .p-toast-close-button:focus-visible {\\n    outline-color: \").concat(dt('toast.warn.close.button.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('toast.warn.close.button.focus.ring.shadow'), \";\\n}\\n\\n.p-toast-message-warn .p-toast-close-button:hover {\\n    background: \").concat(dt('toast.warn.close.button.hover.background'), \";\\n}\\n\\n.p-toast-message-error {\\n    background: \").concat(dt('toast.error.background'), \";\\n    border-color: \").concat(dt('toast.error.border.color'), \";\\n    color: \").concat(dt('toast.error.color'), \";\\n    box-shadow: \").concat(dt('toast.error.shadow'), \";\\n}\\n\\n.p-toast-message-error .p-toast-detail {\\n    color: \").concat(dt('toast.error.detail.color'), \";\\n}\\n\\n.p-toast-message-error .p-toast-close-button:focus-visible {\\n    outline-color: \").concat(dt('toast.error.close.button.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('toast.error.close.button.focus.ring.shadow'), \";\\n}\\n\\n.p-toast-message-error .p-toast-close-button:hover {\\n    background: \").concat(dt('toast.error.close.button.hover.background'), \";\\n}\\n\\n.p-toast-message-secondary {\\n    background: \").concat(dt('toast.secondary.background'), \";\\n    border-color: \").concat(dt('toast.secondary.border.color'), \";\\n    color: \").concat(dt('toast.secondary.color'), \";\\n    box-shadow: \").concat(dt('toast.secondary.shadow'), \";\\n}\\n\\n.p-toast-message-secondary .p-toast-detail {\\n    color: \").concat(dt('toast.secondary.detail.color'), \";\\n}\\n\\n.p-toast-message-secondary .p-toast-close-button:focus-visible {\\n    outline-color: \").concat(dt('toast.secondary.close.button.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('toast.secondary.close.button.focus.ring.shadow'), \";\\n}\\n\\n.p-toast-message-secondary .p-toast-close-button:hover {\\n    background: \").concat(dt('toast.secondary.close.button.hover.background'), \";\\n}\\n\\n.p-toast-message-contrast {\\n    background: \").concat(dt('toast.contrast.background'), \";\\n    border-color: \").concat(dt('toast.contrast.border.color'), \";\\n    color: \").concat(dt('toast.contrast.color'), \";\\n    box-shadow: \").concat(dt('toast.contrast.shadow'), \";\\n}\\n\\n.p-toast-message-contrast .p-toast-detail {\\n    color: \").concat(dt('toast.contrast.detail.color'), \";\\n}\\n\\n.p-toast-message-contrast .p-toast-close-button:focus-visible {\\n    outline-color: \").concat(dt('toast.contrast.close.button.focus.ring.color'), \";\\n    box-shadow: \").concat(dt('toast.contrast.close.button.focus.ring.shadow'), \";\\n}\\n\\n.p-toast-message-contrast .p-toast-close-button:hover {\\n    background: \").concat(dt('toast.contrast.close.button.hover.background'), \";\\n}\\n\\n.p-toast-top-center {\\n    transform: translateX(-50%);\\n}\\n\\n.p-toast-bottom-center {\\n    transform: translateX(-50%);\\n}\\n\\n.p-toast-center {\\n    min-width: 20vw;\\n    transform: translate(-50%, -50%);\\n}\\n\\n.p-toast-message-enter-from {\\n    opacity: 0;\\n    transform: translateY(50%);\\n}\\n\\n.p-toast-message-leave-from {\\n    max-height: 1000px;\\n}\\n\\n.p-toast .p-toast-message.p-toast-message-leave-to {\\n    max-height: 0;\\n    opacity: 0;\\n    margin-bottom: 0;\\n    overflow: hidden;\\n}\\n\\n.p-toast-message-enter-active {\\n    transition: transform 0.3s, opacity 0.3s;\\n}\\n\\n.p-toast-message-leave-active {\\n    transition: max-height 0.45s cubic-bezier(0, 1, 0, 1), opacity 0.3s, margin-bottom 0.3s;\\n}\\n\");\n};\n\n// Position\nvar inlineStyles = {\n  root: function root(_ref2) {\n    var position = _ref2.position;\n    return {\n      position: 'fixed',\n      top: position === 'top-right' || position === 'top-left' || position === 'top-center' ? '20px' : position === 'center' ? '50%' : null,\n      right: (position === 'top-right' || position === 'bottom-right') && '20px',\n      bottom: (position === 'bottom-left' || position === 'bottom-right' || position === 'bottom-center') && '20px',\n      left: position === 'top-left' || position === 'bottom-left' ? '20px' : position === 'center' || position === 'top-center' || position === 'bottom-center' ? '50%' : null\n    };\n  }\n};\nvar classes = {\n  root: function root(_ref3) {\n    var props = _ref3.props;\n    return ['p-toast p-component p-toast-' + props.position];\n  },\n  message: function message(_ref4) {\n    var props = _ref4.props;\n    return ['p-toast-message', {\n      'p-toast-message-info': props.message.severity === 'info' || props.message.severity === undefined,\n      'p-toast-message-warn': props.message.severity === 'warn',\n      'p-toast-message-error': props.message.severity === 'error',\n      'p-toast-message-success': props.message.severity === 'success',\n      'p-toast-message-secondary': props.message.severity === 'secondary',\n      'p-toast-message-contrast': props.message.severity === 'contrast'\n    }];\n  },\n  messageContent: 'p-toast-message-content',\n  messageIcon: function messageIcon(_ref5) {\n    var props = _ref5.props;\n    return ['p-toast-message-icon', _defineProperty(_defineProperty(_defineProperty(_defineProperty({}, props.infoIcon, props.message.severity === 'info'), props.warnIcon, props.message.severity === 'warn'), props.errorIcon, props.message.severity === 'error'), props.successIcon, props.message.severity === 'success')];\n  },\n  messageText: 'p-toast-message-text',\n  summary: 'p-toast-summary',\n  detail: 'p-toast-detail',\n  closeButton: 'p-toast-close-button',\n  closeIcon: 'p-toast-close-icon'\n};\nvar ToastStyle = BaseStyle.extend({\n  name: 'toast',\n  theme: theme,\n  classes: classes,\n  inlineStyles: inlineStyles\n});\n\nexport { ToastStyle as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'ExclamationTriangleIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M13.4018 13.1893H0.598161C0.49329 13.189 0.390283 13.1615 0.299143 13.1097C0.208003 13.0578 0.131826 12.9832 0.0780112 12.8932C0.0268539 12.8015 0 12.6982 0 12.5931C0 12.4881 0.0268539 12.3848 0.0780112 12.293L6.47985 1.08982C6.53679 1.00399 6.61408 0.933574 6.70484 0.884867C6.7956 0.836159 6.897 0.810669 7 0.810669C7.103 0.810669 7.2044 0.836159 7.29516 0.884867C7.38592 0.933574 7.46321 1.00399 7.52015 1.08982L13.922 12.293C13.9731 12.3848 14 12.4881 14 12.5931C14 12.6982 13.9731 12.8015 13.922 12.8932C13.8682 12.9832 13.792 13.0578 13.7009 13.1097C13.6097 13.1615 13.5067 13.189 13.4018 13.1893ZM1.63046 11.989H12.3695L7 2.59425L1.63046 11.989Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M6.99996 8.78801C6.84143 8.78594 6.68997 8.72204 6.57787 8.60993C6.46576 8.49782 6.40186 8.34637 6.39979 8.18784V5.38703C6.39979 5.22786 6.46302 5.0752 6.57557 4.96265C6.68813 4.85009 6.84078 4.78686 6.99996 4.78686C7.15914 4.78686 7.31179 4.85009 7.42435 4.96265C7.5369 5.0752 7.60013 5.22786 7.60013 5.38703V8.18784C7.59806 8.34637 7.53416 8.49782 7.42205 8.60993C7.30995 8.72204 7.15849 8.78594 6.99996 8.78801Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_3 = /*#__PURE__*/createElementVNode(\"path\", {\n  d: \"M6.99996 11.1887C6.84143 11.1866 6.68997 11.1227 6.57787 11.0106C6.46576 10.8985 6.40186 10.7471 6.39979 10.5885V10.1884C6.39979 10.0292 6.46302 9.87658 6.57557 9.76403C6.68813 9.65147 6.84078 9.58824 6.99996 9.58824C7.15914 9.58824 7.31179 9.65147 7.42435 9.76403C7.5369 9.87658 7.60013 10.0292 7.60013 10.1884V10.5885C7.59806 10.7471 7.53416 10.8985 7.42205 11.0106C7.30995 11.1227 7.15849 11.1866 6.99996 11.1887Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_4 = [_hoisted_1, _hoisted_2, _hoisted_3];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_4, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import BaseIcon from '@primevue/icons/baseicon';\nimport { openBlock, createElementBlock, mergeProps, createElementVNode } from 'vue';\n\nvar script = {\n  name: 'InfoCircleIcon',\n  \"extends\": BaseIcon\n};\n\nvar _hoisted_1 = /*#__PURE__*/createElementVNode(\"path\", {\n  \"fill-rule\": \"evenodd\",\n  \"clip-rule\": \"evenodd\",\n  d: \"M3.11101 12.8203C4.26215 13.5895 5.61553 14 7 14C8.85652 14 10.637 13.2625 11.9497 11.9497C13.2625 10.637 14 8.85652 14 7C14 5.61553 13.5895 4.26215 12.8203 3.11101C12.0511 1.95987 10.9579 1.06266 9.67879 0.532846C8.3997 0.00303296 6.99224 -0.13559 5.63437 0.134506C4.2765 0.404603 3.02922 1.07129 2.05026 2.05026C1.07129 3.02922 0.404603 4.2765 0.134506 5.63437C-0.13559 6.99224 0.00303296 8.3997 0.532846 9.67879C1.06266 10.9579 1.95987 12.0511 3.11101 12.8203ZM3.75918 2.14976C4.71846 1.50879 5.84628 1.16667 7 1.16667C8.5471 1.16667 10.0308 1.78125 11.1248 2.87521C12.2188 3.96918 12.8333 5.45291 12.8333 7C12.8333 8.15373 12.4912 9.28154 11.8502 10.2408C11.2093 11.2001 10.2982 11.9478 9.23232 12.3893C8.16642 12.8308 6.99353 12.9463 5.86198 12.7212C4.73042 12.4962 3.69102 11.9406 2.87521 11.1248C2.05941 10.309 1.50384 9.26958 1.27876 8.13803C1.05367 7.00647 1.16919 5.83358 1.61071 4.76768C2.05222 3.70178 2.79989 2.79074 3.75918 2.14976ZM7.00002 4.8611C6.84594 4.85908 6.69873 4.79698 6.58977 4.68801C6.48081 4.57905 6.4187 4.43185 6.41669 4.27776V3.88888C6.41669 3.73417 6.47815 3.58579 6.58754 3.4764C6.69694 3.367 6.84531 3.30554 7.00002 3.30554C7.15473 3.30554 7.3031 3.367 7.4125 3.4764C7.52189 3.58579 7.58335 3.73417 7.58335 3.88888V4.27776C7.58134 4.43185 7.51923 4.57905 7.41027 4.68801C7.30131 4.79698 7.1541 4.85908 7.00002 4.8611ZM7.00002 10.6945C6.84594 10.6925 6.69873 10.6304 6.58977 10.5214C6.48081 10.4124 6.4187 10.2652 6.41669 10.1111V6.22225C6.41669 6.06754 6.47815 5.91917 6.58754 5.80977C6.69694 5.70037 6.84531 5.63892 7.00002 5.63892C7.15473 5.63892 7.3031 5.70037 7.4125 5.80977C7.52189 5.91917 7.58335 6.06754 7.58335 6.22225V10.1111C7.58134 10.2652 7.51923 10.4124 7.41027 10.5214C7.30131 10.6304 7.1541 10.6925 7.00002 10.6945Z\",\n  fill: \"currentColor\"\n}, null, -1);\nvar _hoisted_2 = [_hoisted_1];\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  return openBlock(), createElementBlock(\"svg\", mergeProps({\n    width: \"14\",\n    height: \"14\",\n    viewBox: \"0 0 14 14\",\n    fill: \"none\",\n    xmlns: \"http://www.w3.org/2000/svg\"\n  }, _ctx.pti()), _hoisted_2, 16);\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","import { UniqueComponentId } from '@primevue/core/utils';\nimport { setAttribute } from '@primeuix/utils/dom';\nimport { isEmpty } from '@primeuix/utils/object';\nimport { ZIndex } from '@primeuix/utils/zindex';\nimport Portal from 'primevue/portal';\nimport ToastEventBus from 'primevue/toasteventbus';\nimport BaseComponent from '@primevue/core/basecomponent';\nimport ToastStyle from 'primevue/toast/style';\nimport CheckIcon from '@primevue/icons/check';\nimport ExclamationTriangleIcon from '@primevue/icons/exclamationtriangle';\nimport InfoCircleIcon from '@primevue/icons/infocircle';\nimport TimesIcon from '@primevue/icons/times';\nimport TimesCircleIcon from '@primevue/icons/timescircle';\nimport Ripple from 'primevue/ripple';\nimport { resolveDirective, openBlock, createElementBlock, mergeProps, createBlock, resolveDynamicComponent, Fragment, createElementVNode, toDisplayString, normalizeProps, withDirectives, createCommentVNode, resolveComponent, withCtx, createVNode, TransitionGroup, renderList } from 'vue';\n\nvar script$2 = {\n  name: 'BaseToast',\n  \"extends\": BaseComponent,\n  props: {\n    group: {\n      type: String,\n      \"default\": null\n    },\n    position: {\n      type: String,\n      \"default\": 'top-right'\n    },\n    autoZIndex: {\n      type: Boolean,\n      \"default\": true\n    },\n    baseZIndex: {\n      type: Number,\n      \"default\": 0\n    },\n    breakpoints: {\n      type: Object,\n      \"default\": null\n    },\n    closeIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    infoIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    warnIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    errorIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    successIcon: {\n      type: String,\n      \"default\": undefined\n    },\n    closeButtonProps: {\n      type: null,\n      \"default\": null\n    }\n  },\n  style: ToastStyle,\n  provide: function provide() {\n    return {\n      $pcToast: this,\n      $parentInstance: this\n    };\n  }\n};\n\nvar script$1 = {\n  name: 'ToastMessage',\n  hostName: 'Toast',\n  \"extends\": BaseComponent,\n  emits: ['close'],\n  closeTimeout: null,\n  props: {\n    message: {\n      type: null,\n      \"default\": null\n    },\n    templates: {\n      type: Object,\n      \"default\": null\n    },\n    closeIcon: {\n      type: String,\n      \"default\": null\n    },\n    infoIcon: {\n      type: String,\n      \"default\": null\n    },\n    warnIcon: {\n      type: String,\n      \"default\": null\n    },\n    errorIcon: {\n      type: String,\n      \"default\": null\n    },\n    successIcon: {\n      type: String,\n      \"default\": null\n    },\n    closeButtonProps: {\n      type: null,\n      \"default\": null\n    }\n  },\n  mounted: function mounted() {\n    var _this = this;\n    if (this.message.life) {\n      this.closeTimeout = setTimeout(function () {\n        _this.close({\n          message: _this.message,\n          type: 'life-end'\n        });\n      }, this.message.life);\n    }\n  },\n  beforeUnmount: function beforeUnmount() {\n    this.clearCloseTimeout();\n  },\n  methods: {\n    close: function close(params) {\n      this.$emit('close', params);\n    },\n    onCloseClick: function onCloseClick() {\n      this.clearCloseTimeout();\n      this.close({\n        message: this.message,\n        type: 'close'\n      });\n    },\n    clearCloseTimeout: function clearCloseTimeout() {\n      if (this.closeTimeout) {\n        clearTimeout(this.closeTimeout);\n        this.closeTimeout = null;\n      }\n    }\n  },\n  computed: {\n    iconComponent: function iconComponent() {\n      return {\n        info: !this.infoIcon && InfoCircleIcon,\n        success: !this.successIcon && CheckIcon,\n        warn: !this.warnIcon && ExclamationTriangleIcon,\n        error: !this.errorIcon && TimesCircleIcon\n      }[this.message.severity];\n    },\n    closeAriaLabel: function closeAriaLabel() {\n      return this.$primevue.config.locale.aria ? this.$primevue.config.locale.aria.close : undefined;\n    }\n  },\n  components: {\n    TimesIcon: TimesIcon,\n    InfoCircleIcon: InfoCircleIcon,\n    CheckIcon: CheckIcon,\n    ExclamationTriangleIcon: ExclamationTriangleIcon,\n    TimesCircleIcon: TimesCircleIcon\n  },\n  directives: {\n    ripple: Ripple\n  }\n};\n\nfunction _typeof$1(o) { \"@babel/helpers - typeof\"; return _typeof$1 = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof$1(o); }\nfunction ownKeys$1(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread$1(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys$1(Object(t), !0).forEach(function (r) { _defineProperty$1(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys$1(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty$1(e, r, t) { return (r = _toPropertyKey$1(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey$1(t) { var i = _toPrimitive$1(t, \"string\"); return \"symbol\" == _typeof$1(i) ? i : i + \"\"; }\nfunction _toPrimitive$1(t, r) { if (\"object\" != _typeof$1(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof$1(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nvar _hoisted_1 = [\"aria-label\"];\nfunction render$1(_ctx, _cache, $props, $setup, $data, $options) {\n  var _directive_ripple = resolveDirective(\"ripple\");\n  return openBlock(), createElementBlock(\"div\", mergeProps({\n    \"class\": [_ctx.cx('message'), $props.message.styleClass],\n    role: \"alert\",\n    \"aria-live\": \"assertive\",\n    \"aria-atomic\": \"true\"\n  }, _ctx.ptm('message')), [$props.templates.container ? (openBlock(), createBlock(resolveDynamicComponent($props.templates.container), {\n    key: 0,\n    message: $props.message,\n    closeCallback: $options.onCloseClick\n  }, null, 8, [\"message\", \"closeCallback\"])) : (openBlock(), createElementBlock(\"div\", mergeProps({\n    key: 1,\n    \"class\": [_ctx.cx('messageContent'), $props.message.contentStyleClass]\n  }, _ctx.ptm('messageContent')), [!$props.templates.message ? (openBlock(), createElementBlock(Fragment, {\n    key: 0\n  }, [(openBlock(), createBlock(resolveDynamicComponent($props.templates.messageicon ? $props.templates.messageicon : $props.templates.icon ? $props.templates.icon : $options.iconComponent && $options.iconComponent.name ? $options.iconComponent : 'span'), mergeProps({\n    \"class\": _ctx.cx('messageIcon')\n  }, _ctx.ptm('messageIcon')), null, 16, [\"class\"])), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('messageText')\n  }, _ctx.ptm('messageText')), [createElementVNode(\"span\", mergeProps({\n    \"class\": _ctx.cx('summary')\n  }, _ctx.ptm('summary')), toDisplayString($props.message.summary), 17), createElementVNode(\"div\", mergeProps({\n    \"class\": _ctx.cx('detail')\n  }, _ctx.ptm('detail')), toDisplayString($props.message.detail), 17)], 16)], 64)) : (openBlock(), createBlock(resolveDynamicComponent($props.templates.message), {\n    key: 1,\n    message: $props.message\n  }, null, 8, [\"message\"])), $props.message.closable !== false ? (openBlock(), createElementBlock(\"div\", normalizeProps(mergeProps({\n    key: 2\n  }, _ctx.ptm('buttonContainer'))), [withDirectives((openBlock(), createElementBlock(\"button\", mergeProps({\n    \"class\": _ctx.cx('closeButton'),\n    type: \"button\",\n    \"aria-label\": $options.closeAriaLabel,\n    onClick: _cache[0] || (_cache[0] = function () {\n      return $options.onCloseClick && $options.onCloseClick.apply($options, arguments);\n    }),\n    autofocus: \"\"\n  }, _objectSpread$1(_objectSpread$1({}, $props.closeButtonProps), _ctx.ptm('closeButton'))), [(openBlock(), createBlock(resolveDynamicComponent($props.templates.closeicon || 'TimesIcon'), mergeProps({\n    \"class\": [_ctx.cx('closeIcon'), $props.closeIcon]\n  }, _ctx.ptm('closeIcon')), null, 16, [\"class\"]))], 16, _hoisted_1)), [[_directive_ripple]])], 16)) : createCommentVNode(\"\", true)], 16))], 16);\n}\n\nscript$1.render = render$1;\n\nfunction _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }\nfunction _nonIterableSpread() { throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\"); }\nfunction _unsupportedIterableToArray(r, a) { if (r) { if (\"string\" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return \"Object\" === t && r.constructor && (t = r.constructor.name), \"Map\" === t || \"Set\" === t ? Array.from(r) : \"Arguments\" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }\nfunction _iterableToArray(r) { if (\"undefined\" != typeof Symbol && null != r[Symbol.iterator] || null != r[\"@@iterator\"]) return Array.from(r); }\nfunction _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); }\nfunction _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }\nvar messageIdx = 0;\nvar script = {\n  name: 'Toast',\n  \"extends\": script$2,\n  inheritAttrs: false,\n  emits: ['close', 'life-end'],\n  data: function data() {\n    return {\n      messages: []\n    };\n  },\n  styleElement: null,\n  mounted: function mounted() {\n    ToastEventBus.on('add', this.onAdd);\n    ToastEventBus.on('remove', this.onRemove);\n    ToastEventBus.on('remove-group', this.onRemoveGroup);\n    ToastEventBus.on('remove-all-groups', this.onRemoveAllGroups);\n    if (this.breakpoints) {\n      this.createStyle();\n    }\n  },\n  beforeUnmount: function beforeUnmount() {\n    this.destroyStyle();\n    if (this.$refs.container && this.autoZIndex) {\n      ZIndex.clear(this.$refs.container);\n    }\n    ToastEventBus.off('add', this.onAdd);\n    ToastEventBus.off('remove', this.onRemove);\n    ToastEventBus.off('remove-group', this.onRemoveGroup);\n    ToastEventBus.off('remove-all-groups', this.onRemoveAllGroups);\n  },\n  methods: {\n    add: function add(message) {\n      if (message.id == null) {\n        message.id = messageIdx++;\n      }\n      this.messages = [].concat(_toConsumableArray(this.messages), [message]);\n    },\n    remove: function remove(params) {\n      var index = this.messages.findIndex(function (m) {\n        return m.id === params.message.id;\n      });\n      if (index !== -1) {\n        this.messages.splice(index, 1);\n        this.$emit(params.type, {\n          message: params.message\n        });\n      }\n    },\n    onAdd: function onAdd(message) {\n      if (this.group == message.group) {\n        this.add(message);\n      }\n    },\n    onRemove: function onRemove(message) {\n      this.remove({\n        message: message,\n        type: 'close'\n      });\n    },\n    onRemoveGroup: function onRemoveGroup(group) {\n      if (this.group === group) {\n        this.messages = [];\n      }\n    },\n    onRemoveAllGroups: function onRemoveAllGroups() {\n      this.messages = [];\n    },\n    onEnter: function onEnter() {\n      this.$refs.container.setAttribute(this.attributeSelector, '');\n      if (this.autoZIndex) {\n        ZIndex.set('modal', this.$refs.container, this.baseZIndex || this.$primevue.config.zIndex.modal);\n      }\n    },\n    onLeave: function onLeave() {\n      var _this = this;\n      if (this.$refs.container && this.autoZIndex && isEmpty(this.messages)) {\n        setTimeout(function () {\n          ZIndex.clear(_this.$refs.container);\n        }, 200);\n      }\n    },\n    createStyle: function createStyle() {\n      if (!this.styleElement && !this.isUnstyled) {\n        var _this$$primevue;\n        this.styleElement = document.createElement('style');\n        this.styleElement.type = 'text/css';\n        setAttribute(this.styleElement, 'nonce', (_this$$primevue = this.$primevue) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.config) === null || _this$$primevue === void 0 || (_this$$primevue = _this$$primevue.csp) === null || _this$$primevue === void 0 ? void 0 : _this$$primevue.nonce);\n        document.head.appendChild(this.styleElement);\n        var innerHTML = '';\n        for (var breakpoint in this.breakpoints) {\n          var breakpointStyle = '';\n          for (var styleProp in this.breakpoints[breakpoint]) {\n            breakpointStyle += styleProp + ':' + this.breakpoints[breakpoint][styleProp] + '!important;';\n          }\n          innerHTML += \"\\n                        @media screen and (max-width: \".concat(breakpoint, \") {\\n                            .p-toast[\").concat(this.attributeSelector, \"] {\\n                                \").concat(breakpointStyle, \"\\n                            }\\n                        }\\n                    \");\n        }\n        this.styleElement.innerHTML = innerHTML;\n      }\n    },\n    destroyStyle: function destroyStyle() {\n      if (this.styleElement) {\n        document.head.removeChild(this.styleElement);\n        this.styleElement = null;\n      }\n    }\n  },\n  computed: {\n    attributeSelector: function attributeSelector() {\n      return UniqueComponentId();\n    }\n  },\n  components: {\n    ToastMessage: script$1,\n    Portal: Portal\n  }\n};\n\nfunction _typeof(o) { \"@babel/helpers - typeof\"; return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o; }, _typeof(o); }\nfunction ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }\nfunction _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }\nfunction _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }\nfunction _toPropertyKey(t) { var i = _toPrimitive(t, \"string\"); return \"symbol\" == _typeof(i) ? i : i + \"\"; }\nfunction _toPrimitive(t, r) { if (\"object\" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || \"default\"); if (\"object\" != _typeof(i)) return i; throw new TypeError(\"@@toPrimitive must return a primitive value.\"); } return (\"string\" === r ? String : Number)(t); }\nfunction render(_ctx, _cache, $props, $setup, $data, $options) {\n  var _component_ToastMessage = resolveComponent(\"ToastMessage\");\n  var _component_Portal = resolveComponent(\"Portal\");\n  return openBlock(), createBlock(_component_Portal, null, {\n    \"default\": withCtx(function () {\n      return [createElementVNode(\"div\", mergeProps({\n        ref: \"container\",\n        \"class\": _ctx.cx('root'),\n        style: _ctx.sx('root', true, {\n          position: _ctx.position\n        })\n      }, _ctx.ptmi('root')), [createVNode(TransitionGroup, mergeProps({\n        name: \"p-toast-message\",\n        tag: \"div\",\n        onEnter: $options.onEnter,\n        onLeave: $options.onLeave\n      }, _objectSpread({}, _ctx.ptm('transition'))), {\n        \"default\": withCtx(function () {\n          return [(openBlock(true), createElementBlock(Fragment, null, renderList($data.messages, function (msg) {\n            return openBlock(), createBlock(_component_ToastMessage, {\n              key: msg.id,\n              message: msg,\n              templates: _ctx.$slots,\n              closeIcon: _ctx.closeIcon,\n              infoIcon: _ctx.infoIcon,\n              warnIcon: _ctx.warnIcon,\n              errorIcon: _ctx.errorIcon,\n              successIcon: _ctx.successIcon,\n              closeButtonProps: _ctx.closeButtonProps,\n              onClose: _cache[0] || (_cache[0] = function ($event) {\n                return $options.remove($event);\n              }),\n              pt: _ctx.pt\n            }, null, 8, [\"message\", \"templates\", \"closeIcon\", \"infoIcon\", \"warnIcon\", \"errorIcon\", \"successIcon\", \"closeButtonProps\", \"pt\"]);\n          }), 128))];\n        }),\n        _: 1\n      }, 16, [\"onEnter\", \"onLeave\"])], 16)];\n    }),\n    _: 1\n  });\n}\n\nscript.render = render;\n\nexport { script as default };\n//# sourceMappingURL=index.mjs.map\n","<template>\n  <Toast />\n</template>\n\n<script setup lang=\"ts\">\nimport { useSettingStore } from '@/stores/settingStore'\nimport { useToastStore } from '@/stores/toastStore'\nimport Toast from 'primevue/toast'\nimport { useToast } from 'primevue/usetoast'\nimport { nextTick, watch } from 'vue'\n\nconst toast = useToast()\nconst toastStore = useToastStore()\nconst settingStore = useSettingStore()\n\nwatch(\n  () => toastStore.messagesToAdd,\n  (newMessages) => {\n    if (newMessages.length === 0) {\n      return\n    }\n\n    newMessages.forEach((message) => {\n      toast.add(message)\n    })\n    toastStore.messagesToAdd = []\n  },\n  { deep: true }\n)\n\nwatch(\n  () => toastStore.messagesToRemove,\n  (messagesToRemove) => {\n    if (messagesToRemove.length === 0) {\n      return\n    }\n\n    messagesToRemove.forEach((message) => {\n      toast.remove(message)\n    })\n    toastStore.messagesToRemove = []\n  },\n  { deep: true }\n)\n\nwatch(\n  () => toastStore.removeAllRequested,\n  (requested) => {\n    if (requested) {\n      toast.removeAllGroups()\n      toastStore.removeAllRequested = false\n    }\n  }\n)\n\nfunction updateToastPosition() {\n  const styleElement =\n    document.getElementById('dynamic-toast-style') || createStyleElement()\n  const rect = document\n    .querySelector('.graph-canvas-container')\n    .getBoundingClientRect()\n  styleElement.textContent = `\n    .p-toast.p-component.p-toast-top-right {\n      top: ${rect.top + 20}px !important;\n      right: ${window.innerWidth - (rect.left + rect.width) + 20}px !important;\n    }\n  `\n}\n\nfunction createStyleElement() {\n  const style = document.createElement('style')\n  style.id = 'dynamic-toast-style'\n  document.head.appendChild(style)\n  return style\n}\n\nwatch(\n  () => settingStore.get('Comfy.UseNewMenu'),\n  () => nextTick(updateToastPosition),\n  { immediate: true }\n)\nwatch(\n  () => settingStore.get('Comfy.Sidebar.Location'),\n  () => nextTick(updateToastPosition),\n  { immediate: true }\n)\n</script>\n","<template>\n  <ProgressSpinner v-if=\"isLoading\" class=\"spinner\"></ProgressSpinner>\n  <BlockUI full-screen :blocked=\"isLoading\" />\n  <GlobalDialog />\n  <GlobalToast />\n  <GraphCanvas />\n</template>\n\n<script setup lang=\"ts\">\nimport {\n  computed,\n  markRaw,\n  onMounted,\n  onUnmounted,\n  watch,\n  watchEffect\n} from 'vue'\nimport BlockUI from 'primevue/blockui'\nimport ProgressSpinner from 'primevue/progressspinner'\nimport GraphCanvas from '@/components/graph/GraphCanvas.vue'\nimport QueueSidebarTab from '@/components/sidebar/tabs/QueueSidebarTab.vue'\nimport { app } from './scripts/app'\nimport { useSettingStore } from './stores/settingStore'\nimport { useI18n } from 'vue-i18n'\nimport { useWorkspaceStore } from './stores/workspaceStateStore'\nimport NodeLibrarySidebarTab from './components/sidebar/tabs/NodeLibrarySidebarTab.vue'\nimport GlobalDialog from './components/dialog/GlobalDialog.vue'\nimport GlobalToast from './components/toast/GlobalToast.vue'\nimport { api } from './scripts/api'\nimport { StatusWsMessageStatus } from './types/apiTypes'\nimport { useQueuePendingTaskCountStore } from './stores/queueStore'\nimport type { ToastMessageOptions } from 'primevue/toast'\nimport { useToast } from 'primevue/usetoast'\n\nconst isLoading = computed<boolean>(() => useWorkspaceStore().spinner)\nconst theme = computed<string>(() =>\n  useSettingStore().get('Comfy.ColorPalette')\n)\nwatch(\n  theme,\n  (newTheme) => {\n    const DARK_THEME_CLASS = 'dark-theme'\n    const isDarkTheme = newTheme !== 'light'\n    if (isDarkTheme) {\n      document.body.classList.add(DARK_THEME_CLASS)\n    } else {\n      document.body.classList.remove(DARK_THEME_CLASS)\n    }\n  },\n  { immediate: true }\n)\n\nwatchEffect(() => {\n  const fontSize = useSettingStore().get('Comfy.TextareaWidget.FontSize')\n  document.documentElement.style.setProperty(\n    '--comfy-textarea-font-size',\n    `${fontSize}px`\n  )\n})\n\nconst { t } = useI18n()\nconst init = () => {\n  useSettingStore().addSettings(app.ui.settings)\n  app.extensionManager = useWorkspaceStore()\n  app.extensionManager.registerSidebarTab({\n    id: 'queue',\n    icon: 'pi pi-history',\n    iconBadge: () => {\n      const value = useQueuePendingTaskCountStore().count.toString()\n      return value === '0' ? null : value\n    },\n    title: t('sideToolbar.queue'),\n    tooltip: t('sideToolbar.queue'),\n    component: markRaw(QueueSidebarTab),\n    type: 'vue'\n  })\n  app.extensionManager.registerSidebarTab({\n    id: 'node-library',\n    icon: 'pi pi-book',\n    title: t('sideToolbar.nodeLibrary'),\n    tooltip: t('sideToolbar.nodeLibrary'),\n    component: markRaw(NodeLibrarySidebarTab),\n    type: 'vue'\n  })\n}\n\nconst queuePendingTaskCountStore = useQueuePendingTaskCountStore()\nconst onStatus = (e: CustomEvent<StatusWsMessageStatus>) =>\n  queuePendingTaskCountStore.update(e)\n\nconst toast = useToast()\nconst reconnectingMessage: ToastMessageOptions = {\n  severity: 'error',\n  summary: t('reconnecting')\n}\nconst onReconnecting = () => {\n  toast.remove(reconnectingMessage)\n  toast.add(reconnectingMessage)\n}\nconst onReconnected = () => {\n  toast.remove(reconnectingMessage)\n  toast.add({\n    severity: 'success',\n    summary: t('reconnected'),\n    life: 2000\n  })\n}\n\nonMounted(() => {\n  api.addEventListener('status', onStatus)\n  api.addEventListener('reconnecting', onReconnecting)\n  api.addEventListener('reconnected', onReconnected)\n  try {\n    init()\n  } catch (e) {\n    console.error('Failed to init Vue app', e)\n  }\n})\n\nonUnmounted(() => {\n  api.removeEventListener('status', onStatus)\n  api.removeEventListener('reconnecting', onReconnecting)\n  api.removeEventListener('reconnected', onReconnected)\n})\n</script>\n\n<style scoped>\n.spinner {\n  @apply absolute inset-0 flex justify-center items-center h-screen;\n}\n</style>\n","import { createI18n } from 'vue-i18n'\n\nconst messages = {\n  en: {\n    add: 'Add',\n    confirm: 'Confirm',\n    reset: 'Reset',\n    customizeFolder: 'Customize Folder',\n    icon: 'Icon',\n    color: 'Color',\n    bookmark: 'Bookmark',\n    folder: 'Folder',\n    star: 'Star',\n    heart: 'Heart',\n    file: 'File',\n    inbox: 'Inbox',\n    box: 'Box',\n    briefcase: 'Briefcase',\n    error: 'Error',\n    findIssues: 'Find Issues',\n    copyToClipboard: 'Copy to Clipboard',\n    openNewIssue: 'Open New Issue',\n    showReport: 'Show Report',\n    imageFailedToLoad: 'Image failed to load',\n    reconnecting: 'Reconnecting',\n    reconnected: 'Reconnected',\n    delete: 'Delete',\n    rename: 'Rename',\n    customize: 'Customize',\n    experimental: 'BETA',\n    deprecated: 'DEPR',\n    loadWorkflow: 'Load Workflow',\n    goToNode: 'Go to Node',\n    settings: 'Settings',\n    searchSettings: 'Search Settings',\n    searchNodes: 'Search Nodes',\n    noResultsFound: 'No Results Found',\n    searchFailedMessage:\n      \"We couldn't find any settings matching your search. Try adjusting your search terms.\",\n    noTasksFound: 'No Tasks Found',\n    noTasksFoundMessage: 'There are no tasks in the queue.',\n    newFolder: 'New Folder',\n    sideToolbar: {\n      themeToggle: 'Toggle Theme',\n      queue: 'Queue',\n      nodeLibrary: 'Node Library',\n      nodeLibraryTab: {\n        sortOrder: 'Sort Order'\n      },\n      queueTab: {\n        showFlatList: 'Show Flat List',\n        backToAllTasks: 'Back to All Tasks',\n        containImagePreview: 'Fill Image Preview',\n        coverImagePreview: 'Fit Image Preview'\n      }\n    }\n  },\n  zh: {\n    customizeFolder: '定制文件夹',\n    icon: '图标',\n    color: '颜色',\n    bookmark: '书签',\n    folder: '文件夹',\n    star: '星星',\n    heart: '心',\n    file: '文件',\n    inbox: '收件箱',\n    box: '盒子',\n    briefcase: '公文包',\n    error: '错误',\n    showReport: '显示报告',\n    imageFailedToLoad: '图像加载失败',\n    reconnecting: '重新连接中',\n    reconnected: '已重新连接',\n    delete: '删除',\n    rename: '重命名',\n    customize: '定制',\n    loadWorkflow: '加载工作流',\n    settings: '设置',\n    searchSettings: '搜索设置',\n    searchNodes: '搜索节点',\n    noResultsFound: '未找到结果',\n    noTasksFound: '未找到任务',\n    noTasksFoundMessage: '队列中没有任务。',\n    searchFailedMessage:\n      '我们找不到与您的搜索匹配的任何设置。请尝试调整搜索条件。',\n    newFolder: '新建文件夹',\n    sideToolbar: {\n      themeToggle: '主题切换',\n      queue: '队列',\n      nodeLibrary: '节点库',\n      nodeLibraryTab: {\n        sortOrder: '排序顺序'\n      },\n      queueTab: {\n        showFlatList: '平铺结果',\n        backToAllTasks: '返回'\n      }\n    }\n  }\n  // TODO: Add more languages\n}\n\nexport const i18n = createI18n({\n  // Must set `false`, as Vue I18n Legacy API is for Vue 2\n  legacy: false,\n  locale: navigator.language.split('-')[0] || 'en',\n  fallbackLocale: 'en',\n  messages\n})\n","import { createApp } from 'vue'\nimport PrimeVue from 'primevue/config'\nimport Aura from '@primevue/themes/aura'\nimport { definePreset } from '@primevue/themes'\nimport ConfirmationService from 'primevue/confirmationservice'\nimport ToastService from 'primevue/toastservice'\nimport Tooltip from 'primevue/tooltip'\nimport 'primeicons/primeicons.css'\n\nimport App from './App.vue'\nimport { createPinia } from 'pinia'\nimport { i18n } from './i18n'\n\nconst ComfyUIPreset = definePreset(Aura, {\n  semantic: {\n    primary: Aura['primitive'].blue\n  }\n})\n\nconst app = createApp(App)\nconst pinia = createPinia()\napp.directive('tooltip', Tooltip)\napp\n  .use(PrimeVue, {\n    theme: {\n      preset: ComfyUIPreset,\n      options: {\n        prefix: 'p',\n        cssLayer: false,\n        // This is a workaround for the issue with the dark mode selector\n        // https://github.com/primefaces/primevue/issues/5515\n        darkModeSelector: '.dark-theme, :root:has(.dark-theme)'\n      }\n    }\n  })\n  .use(ConfirmationService)\n  .use(ToastService)\n  .use(pinia)\n  .use(i18n)\n  .mount('#vue-app')\n"],"file":"assets/index-CI3N807S.js"}
\ No newline at end of file
diff --git a/ComfyUI/web/assets/index-DjWyclij.css b/ComfyUI/web/assets/index-DjWyclij.css
new file mode 100644
index 0000000000000000000000000000000000000000..5470ecb5e67bd700b52601979a607b2d89893860
--- /dev/null
+++ b/ComfyUI/web/assets/index-DjWyclij.css
@@ -0,0 +1,149 @@
+.comfy-group-manage {
+	background: var(--bg-color);
+	color: var(--fg-color);
+	padding: 0;
+	font-family: Arial, Helvetica, sans-serif;
+	border-color: black;
+	margin: 20vh auto;
+	max-height: 60vh;
+}
+.comfy-group-manage-outer {
+	max-height: 60vh;
+	min-width: 500px;
+	display: flex;
+	flex-direction: column;
+}
+.comfy-group-manage-outer > header {
+	display: flex;
+	align-items: center;
+	gap: 10px;
+	justify-content: space-between;
+	background: var(--comfy-menu-bg);
+	padding: 15px 20px;
+}
+.comfy-group-manage-outer > header select {
+	background: var(--comfy-input-bg);
+	border: 1px solid var(--border-color);
+	color: var(--input-text);
+	padding: 5px 10px;
+	border-radius: 5px;
+}
+.comfy-group-manage h2 {
+	margin: 0;
+	font-weight: normal;
+}
+.comfy-group-manage main {
+	display: flex;
+	overflow: hidden;
+}
+.comfy-group-manage .drag-handle {
+	font-weight: bold;
+}
+.comfy-group-manage-list {
+	border-right: 1px solid var(--comfy-menu-bg);
+}
+.comfy-group-manage-list ul {
+	margin: 40px 0 0;
+	padding: 0;
+	list-style: none;
+}
+.comfy-group-manage-list-items {
+	max-height: calc(100% - 40px);
+	overflow-y: scroll;
+	overflow-x: hidden;
+}
+.comfy-group-manage-list li {
+	display: flex;
+	padding: 10px 20px 10px 10px;
+	cursor: pointer;
+	align-items: center;
+	gap: 5px;
+}
+.comfy-group-manage-list div {
+	display: flex;
+	flex-direction: column;
+}
+.comfy-group-manage-list li:not(.selected):hover div {
+	text-decoration: underline;
+}
+.comfy-group-manage-list li.selected {
+	background: var(--border-color);
+}
+.comfy-group-manage-list li span {
+	opacity: 0.7;
+	font-size: smaller;
+}
+.comfy-group-manage-node {
+	flex: auto;
+	background: var(--border-color);
+	display: flex;
+	flex-direction: column;
+}
+.comfy-group-manage-node > div {
+	overflow: auto;
+}
+.comfy-group-manage-node header {
+	display: flex;
+	background: var(--bg-color);
+	height: 40px;
+}
+.comfy-group-manage-node header a {
+	text-align: center;
+	flex: auto;
+	border-right: 1px solid var(--comfy-menu-bg);
+	border-bottom: 1px solid var(--comfy-menu-bg);
+	padding: 10px;
+	cursor: pointer;
+	font-size: 15px;
+}
+.comfy-group-manage-node header a:last-child {
+    border-right: none;
+}
+.comfy-group-manage-node header a:not(.active):hover {
+	text-decoration: underline;
+}
+.comfy-group-manage-node header a.active {
+	background: var(--border-color);
+	border-bottom: none;
+}
+.comfy-group-manage-node-page {
+	display: none;
+	overflow: auto;
+}
+.comfy-group-manage-node-page.active {
+	display: block;
+}
+.comfy-group-manage-node-page div {
+	padding: 10px;
+	display: flex;
+	align-items: center;
+	gap: 10px;
+}
+.comfy-group-manage-node-page input {
+	border: none;
+	color: var(--input-text);
+	background: var(--comfy-input-bg);
+	padding: 5px 10px;
+}
+.comfy-group-manage-node-page input[type="text"] {
+	flex: auto;
+}
+.comfy-group-manage-node-page label {
+	display: flex;
+	gap: 5px;
+	align-items: center;
+}
+.comfy-group-manage footer {
+	border-top: 1px solid var(--comfy-menu-bg);
+	padding: 10px;
+	display: flex;
+	gap: 10px;
+}
+.comfy-group-manage footer button {
+	font-size: 14px;
+	padding: 5px 10px;
+	border-radius: 0;
+}
+.comfy-group-manage footer button:first-child {
+	margin-right: auto;
+}
diff --git a/ComfyUI/web/assets/index-_5czGnTA.css b/ComfyUI/web/assets/index-_5czGnTA.css
new file mode 100644
index 0000000000000000000000000000000000000000..5d2f49d07a1b2ad0a613d9e98c2a21717948c38c
--- /dev/null
+++ b/ComfyUI/web/assets/index-_5czGnTA.css
@@ -0,0 +1,4442 @@
+@font-face {
+    font-family: 'primeicons';
+    font-display: block;
+    src: url('./primeicons-DMOk5skT.eot');
+    src: url('./primeicons-DMOk5skT.eot?#iefix') format('embedded-opentype'), url('./primeicons-C6QP2o4f.woff2') format('woff2'), url('./primeicons-WjwUDZjB.woff') format('woff'), url('./primeicons-MpK4pl85.ttf') format('truetype'), url('./primeicons-Dr5RGzOO.svg?#primeicons') format('svg');
+    font-weight: normal;
+    font-style: normal;
+}
+
+.pi {
+    font-family: 'primeicons';
+    speak: none;
+    font-style: normal;
+    font-weight: normal;
+    font-variant: normal;
+    text-transform: none;
+    line-height: 1;
+    display: inline-block;
+    -webkit-font-smoothing: antialiased;
+    -moz-osx-font-smoothing: grayscale;
+}
+
+.pi:before {
+    --webkit-backface-visibility:hidden;
+    backface-visibility: hidden;
+}
+
+.pi-fw {
+    width: 1.28571429em;
+    text-align: center;
+}
+
+.pi-spin {
+    animation: fa-spin 2s infinite linear;
+}
+
+@media (prefers-reduced-motion: reduce) {
+  .pi-spin {
+    animation-delay: -1ms;
+    animation-duration: 1ms;
+    animation-iteration-count: 1;
+    transition-delay: 0s;
+    transition-duration: 0s;
+  }
+}
+
+@keyframes fa-spin {
+    0% {
+        transform: rotate(0deg);
+    }
+    100% {
+        transform: rotate(359deg);
+    }
+}
+
+.pi-folder-plus:before {
+    content: "\ea05";
+}
+
+.pi-receipt:before {
+    content: "\ea06";
+}
+
+.pi-asterisk:before {
+    content: "\ea07";
+}
+
+.pi-face-smile:before {
+    content: "\ea08";
+}
+
+.pi-pinterest:before {
+    content: "\ea09";
+}
+
+.pi-expand:before {
+    content: "\ea0a";
+}
+
+.pi-pen-to-square:before {
+    content: "\ea0b";
+}
+
+.pi-wave-pulse:before {
+    content: "\ea0c";
+}
+
+.pi-turkish-lira:before {
+    content: "\ea0d";
+}
+
+.pi-spinner-dotted:before {
+    content: "\ea0e";
+}
+
+.pi-crown:before {
+    content: "\ea0f";
+}
+
+.pi-pause-circle:before {
+    content: "\ea10";
+}
+
+.pi-warehouse:before {
+    content: "\ea11";
+}
+
+.pi-objects-column:before {
+    content: "\ea12";
+}
+
+.pi-clipboard:before {
+    content: "\ea13";
+}
+
+.pi-play-circle:before {
+    content: "\ea14";
+}
+
+.pi-venus:before {
+    content: "\ea15";
+}
+
+.pi-cart-minus:before {
+    content: "\ea16";
+}
+
+.pi-file-plus:before {
+    content: "\ea17";
+}
+
+.pi-microchip:before {
+    content: "\ea18";
+}
+
+.pi-twitch:before {
+    content: "\ea19";
+}
+
+.pi-building-columns:before {
+    content: "\ea1a";
+}
+
+.pi-file-check:before {
+    content: "\ea1b";
+}
+
+.pi-microchip-ai:before {
+    content: "\ea1c";
+}
+
+.pi-trophy:before {
+    content: "\ea1d";
+}
+
+.pi-barcode:before {
+    content: "\ea1e";
+}
+
+.pi-file-arrow-up:before {
+    content: "\ea1f";
+}
+
+.pi-mars:before {
+    content: "\ea20";
+}
+
+.pi-tiktok:before {
+    content: "\ea21";
+}
+
+.pi-arrow-up-right-and-arrow-down-left-from-center:before {
+    content: "\ea22";
+}
+
+.pi-ethereum:before {
+    content: "\ea23";
+}
+
+.pi-list-check:before {
+    content: "\ea24";
+}
+
+.pi-thumbtack:before {
+    content: "\ea25";
+}
+
+.pi-arrow-down-left-and-arrow-up-right-to-center:before {
+    content: "\ea26";
+}
+
+.pi-equals:before {
+    content: "\ea27";
+}
+
+.pi-lightbulb:before {
+    content: "\ea28";
+}
+
+.pi-star-half:before {
+    content: "\ea29";
+}
+
+.pi-address-book:before {
+    content: "\ea2a";
+}
+
+.pi-chart-scatter:before {
+    content: "\ea2b";
+}
+
+.pi-indian-rupee:before {
+    content: "\ea2c";
+}
+
+.pi-star-half-fill:before {
+    content: "\ea2d";
+}
+
+.pi-cart-arrow-down:before {
+    content: "\ea2e";
+}
+
+.pi-calendar-clock:before {
+    content: "\ea2f";
+}
+
+.pi-sort-up-fill:before {
+    content: "\ea30";
+}
+
+.pi-sparkles:before {
+    content: "\ea31";
+}
+
+.pi-bullseye:before {
+    content: "\ea32";
+}
+
+.pi-sort-down-fill:before {
+    content: "\ea33";
+}
+
+.pi-graduation-cap:before {
+    content: "\ea34";
+}
+
+.pi-hammer:before {
+    content: "\ea35";
+}
+
+.pi-bell-slash:before {
+    content: "\ea36";
+}
+
+.pi-gauge:before {
+    content: "\ea37";
+}
+
+.pi-shop:before {
+    content: "\ea38";
+}
+
+.pi-headphones:before {
+    content: "\ea39";
+}
+
+.pi-eraser:before {
+    content: "\ea04";
+}
+
+.pi-stopwatch:before {
+    content: "\ea01";
+}
+
+.pi-verified:before {
+    content: "\ea02";
+}
+
+.pi-delete-left:before {
+    content: "\ea03";
+}
+
+.pi-hourglass:before {
+    content: "\e9fe";
+}
+
+.pi-truck:before {
+    content: "\ea00";
+}
+
+.pi-wrench:before {
+    content: "\e9ff";
+}
+
+.pi-microphone:before {
+    content: "\e9fa";
+}
+
+.pi-megaphone:before {
+    content: "\e9fb";
+}
+
+.pi-arrow-right-arrow-left:before {
+    content: "\e9fc";
+}
+
+.pi-bitcoin:before {
+    content: "\e9fd";
+}
+
+.pi-file-edit:before {
+    content: "\e9f6";
+}
+
+.pi-language:before {
+    content: "\e9f7";
+}
+
+.pi-file-export:before {
+    content: "\e9f8";
+}
+
+.pi-file-import:before {
+    content: "\e9f9";
+}
+
+.pi-file-word:before {
+    content: "\e9f1";
+}
+
+.pi-gift:before {
+    content: "\e9f2";
+}
+
+.pi-cart-plus:before {
+    content: "\e9f3";
+}
+
+.pi-thumbs-down-fill:before {
+    content: "\e9f4";
+}
+
+.pi-thumbs-up-fill:before {
+    content: "\e9f5";
+}
+
+.pi-arrows-alt:before {
+    content: "\e9f0";
+}
+
+.pi-calculator:before {
+    content: "\e9ef";
+}
+
+.pi-sort-alt-slash:before {
+    content: "\e9ee";
+}
+
+.pi-arrows-h:before {
+    content: "\e9ec";
+}
+
+.pi-arrows-v:before {
+    content: "\e9ed";
+}
+
+.pi-pound:before {
+    content: "\e9eb";
+}
+
+.pi-prime:before {
+    content: "\e9ea";
+}
+
+.pi-chart-pie:before {
+    content: "\e9e9";
+}
+
+.pi-reddit:before {
+    content: "\e9e8";
+}
+
+.pi-code:before {
+    content: "\e9e7";
+}
+
+.pi-sync:before {
+    content: "\e9e6";
+}
+
+.pi-shopping-bag:before {
+    content: "\e9e5";
+}
+
+.pi-server:before {
+    content: "\e9e4";
+}
+
+.pi-database:before {
+    content: "\e9e3";
+}
+
+.pi-hashtag:before {
+    content: "\e9e2";
+}
+
+.pi-bookmark-fill:before {
+    content: "\e9df";
+}
+
+.pi-filter-fill:before {
+    content: "\e9e0";
+}
+
+.pi-heart-fill:before {
+    content: "\e9e1";
+}
+
+.pi-flag-fill:before {
+    content: "\e9de";
+}
+
+.pi-circle:before {
+    content: "\e9dc";
+}
+
+.pi-circle-fill:before {
+    content: "\e9dd";
+}
+
+.pi-bolt:before {
+    content: "\e9db";
+}
+
+.pi-history:before {
+    content: "\e9da";
+}
+
+.pi-box:before {
+    content: "\e9d9";
+}
+
+.pi-at:before {
+    content: "\e9d8";
+}
+
+.pi-arrow-up-right:before {
+    content: "\e9d4";
+}
+
+.pi-arrow-up-left:before {
+    content: "\e9d5";
+}
+
+.pi-arrow-down-left:before {
+    content: "\e9d6";
+}
+
+.pi-arrow-down-right:before {
+    content: "\e9d7";
+}
+
+.pi-telegram:before {
+    content: "\e9d3";
+}
+
+.pi-stop-circle:before {
+    content: "\e9d2";
+}
+
+.pi-stop:before {
+    content: "\e9d1";
+}
+
+.pi-whatsapp:before {
+    content: "\e9d0";
+}
+
+.pi-building:before {
+    content: "\e9cf";
+}
+
+.pi-qrcode:before {
+    content: "\e9ce";
+}
+
+.pi-car:before {
+    content: "\e9cd";
+}
+
+.pi-instagram:before {
+    content: "\e9cc";
+}
+
+.pi-linkedin:before {
+    content: "\e9cb";
+}
+
+.pi-send:before {
+    content: "\e9ca";
+}
+
+.pi-slack:before {
+    content: "\e9c9";
+}
+
+.pi-sun:before {
+    content: "\e9c8";
+}
+
+.pi-moon:before {
+    content: "\e9c7";
+}
+
+.pi-vimeo:before {
+    content: "\e9c6";
+}
+
+.pi-youtube:before {
+    content: "\e9c5";
+}
+
+.pi-flag:before {
+    content: "\e9c4";
+}
+
+.pi-wallet:before {
+    content: "\e9c3";
+}
+
+.pi-map:before {
+    content: "\e9c2";
+}
+
+.pi-link:before {
+    content: "\e9c1";
+}
+
+.pi-credit-card:before {
+    content: "\e9bf";
+}
+
+.pi-discord:before {
+    content: "\e9c0";
+}
+
+.pi-percentage:before {
+    content: "\e9be";
+}
+
+.pi-euro:before {
+    content: "\e9bd";
+}
+
+.pi-book:before {
+    content: "\e9ba";
+}
+
+.pi-shield:before {
+    content: "\e9b9";
+}
+
+.pi-paypal:before {
+    content: "\e9bb";
+}
+
+.pi-amazon:before {
+    content: "\e9bc";
+}
+
+.pi-phone:before {
+    content: "\e9b8";
+}
+
+.pi-filter-slash:before {
+    content: "\e9b7";
+}
+
+.pi-facebook:before {
+    content: "\e9b4";
+}
+
+.pi-github:before {
+    content: "\e9b5";
+}
+
+.pi-twitter:before {
+    content: "\e9b6";
+}
+
+.pi-step-backward-alt:before {
+    content: "\e9ac";
+}
+
+.pi-step-forward-alt:before {
+    content: "\e9ad";
+}
+
+.pi-forward:before {
+    content: "\e9ae";
+}
+
+.pi-backward:before {
+    content: "\e9af";
+}
+
+.pi-fast-backward:before {
+    content: "\e9b0";
+}
+
+.pi-fast-forward:before {
+    content: "\e9b1";
+}
+
+.pi-pause:before {
+    content: "\e9b2";
+}
+
+.pi-play:before {
+    content: "\e9b3";
+}
+
+.pi-compass:before {
+    content: "\e9ab";
+}
+
+.pi-id-card:before {
+    content: "\e9aa";
+}
+
+.pi-ticket:before {
+    content: "\e9a9";
+}
+
+.pi-file-o:before {
+    content: "\e9a8";
+}
+
+.pi-reply:before {
+    content: "\e9a7";
+}
+
+.pi-directions-alt:before {
+    content: "\e9a5";
+}
+
+.pi-directions:before {
+    content: "\e9a6";
+}
+
+.pi-thumbs-up:before {
+    content: "\e9a3";
+}
+
+.pi-thumbs-down:before {
+    content: "\e9a4";
+}
+
+.pi-sort-numeric-down-alt:before {
+    content: "\e996";
+}
+
+.pi-sort-numeric-up-alt:before {
+    content: "\e997";
+}
+
+.pi-sort-alpha-down-alt:before {
+    content: "\e998";
+}
+
+.pi-sort-alpha-up-alt:before {
+    content: "\e999";
+}
+
+.pi-sort-numeric-down:before {
+    content: "\e99a";
+}
+
+.pi-sort-numeric-up:before {
+    content: "\e99b";
+}
+
+.pi-sort-alpha-down:before {
+    content: "\e99c";
+}
+
+.pi-sort-alpha-up:before {
+    content: "\e99d";
+}
+
+.pi-sort-alt:before {
+    content: "\e99e";
+}
+
+.pi-sort-amount-up:before {
+    content: "\e99f";
+}
+
+.pi-sort-amount-down:before {
+    content: "\e9a0";
+}
+
+.pi-sort-amount-down-alt:before {
+    content: "\e9a1";
+}
+
+.pi-sort-amount-up-alt:before {
+    content: "\e9a2";
+}
+
+.pi-palette:before {
+    content: "\e995";
+}
+
+.pi-undo:before {
+    content: "\e994";
+}
+
+.pi-desktop:before {
+    content: "\e993";
+}
+
+.pi-sliders-v:before {
+    content: "\e991";
+}
+
+.pi-sliders-h:before {
+    content: "\e992";
+}
+
+.pi-search-plus:before {
+    content: "\e98f";
+}
+
+.pi-search-minus:before {
+    content: "\e990";
+}
+
+.pi-file-excel:before {
+    content: "\e98e";
+}
+
+.pi-file-pdf:before {
+    content: "\e98d";
+}
+
+.pi-check-square:before {
+    content: "\e98c";
+}
+
+.pi-chart-line:before {
+    content: "\e98b";
+}
+
+.pi-user-edit:before {
+    content: "\e98a";
+}
+
+.pi-exclamation-circle:before {
+    content: "\e989";
+}
+
+.pi-android:before {
+    content: "\e985";
+}
+
+.pi-google:before {
+    content: "\e986";
+}
+
+.pi-apple:before {
+    content: "\e987";
+}
+
+.pi-microsoft:before {
+    content: "\e988";
+}
+
+.pi-heart:before {
+    content: "\e984";
+}
+
+.pi-mobile:before {
+    content: "\e982";
+}
+
+.pi-tablet:before {
+    content: "\e983";
+}
+
+.pi-key:before {
+    content: "\e981";
+}
+
+.pi-shopping-cart:before {
+    content: "\e980";
+}
+
+.pi-comments:before {
+    content: "\e97e";
+}
+
+.pi-comment:before {
+    content: "\e97f";
+}
+
+.pi-briefcase:before {
+    content: "\e97d";
+}
+
+.pi-bell:before {
+    content: "\e97c";
+}
+
+.pi-paperclip:before {
+    content: "\e97b";
+}
+
+.pi-share-alt:before {
+    content: "\e97a";
+}
+
+.pi-envelope:before {
+    content: "\e979";
+}
+
+.pi-volume-down:before {
+    content: "\e976";
+}
+
+.pi-volume-up:before {
+    content: "\e977";
+}
+
+.pi-volume-off:before {
+    content: "\e978";
+}
+
+.pi-eject:before {
+    content: "\e975";
+}
+
+.pi-money-bill:before {
+    content: "\e974";
+}
+
+.pi-images:before {
+    content: "\e973";
+}
+
+.pi-image:before {
+    content: "\e972";
+}
+
+.pi-sign-in:before {
+    content: "\e970";
+}
+
+.pi-sign-out:before {
+    content: "\e971";
+}
+
+.pi-wifi:before {
+    content: "\e96f";
+}
+
+.pi-sitemap:before {
+    content: "\e96e";
+}
+
+.pi-chart-bar:before {
+    content: "\e96d";
+}
+
+.pi-camera:before {
+    content: "\e96c";
+}
+
+.pi-dollar:before {
+    content: "\e96b";
+}
+
+.pi-lock-open:before {
+    content: "\e96a";
+}
+
+.pi-table:before {
+    content: "\e969";
+}
+
+.pi-map-marker:before {
+    content: "\e968";
+}
+
+.pi-list:before {
+    content: "\e967";
+}
+
+.pi-eye-slash:before {
+    content: "\e965";
+}
+
+.pi-eye:before {
+    content: "\e966";
+}
+
+.pi-folder-open:before {
+    content: "\e964";
+}
+
+.pi-folder:before {
+    content: "\e963";
+}
+
+.pi-video:before {
+    content: "\e962";
+}
+
+.pi-inbox:before {
+    content: "\e961";
+}
+
+.pi-lock:before {
+    content: "\e95f";
+}
+
+.pi-unlock:before {
+    content: "\e960";
+}
+
+.pi-tags:before {
+    content: "\e95d";
+}
+
+.pi-tag:before {
+    content: "\e95e";
+}
+
+.pi-power-off:before {
+    content: "\e95c";
+}
+
+.pi-save:before {
+    content: "\e95b";
+}
+
+.pi-question-circle:before {
+    content: "\e959";
+}
+
+.pi-question:before {
+    content: "\e95a";
+}
+
+.pi-copy:before {
+    content: "\e957";
+}
+
+.pi-file:before {
+    content: "\e958";
+}
+
+.pi-clone:before {
+    content: "\e955";
+}
+
+.pi-calendar-times:before {
+    content: "\e952";
+}
+
+.pi-calendar-minus:before {
+    content: "\e953";
+}
+
+.pi-calendar-plus:before {
+    content: "\e954";
+}
+
+.pi-ellipsis-v:before {
+    content: "\e950";
+}
+
+.pi-ellipsis-h:before {
+    content: "\e951";
+}
+
+.pi-bookmark:before {
+    content: "\e94e";
+}
+
+.pi-globe:before {
+    content: "\e94f";
+}
+
+.pi-replay:before {
+    content: "\e94d";
+}
+
+.pi-filter:before {
+    content: "\e94c";
+}
+
+.pi-print:before {
+    content: "\e94b";
+}
+
+.pi-align-right:before {
+    content: "\e946";
+}
+
+.pi-align-left:before {
+    content: "\e947";
+}
+
+.pi-align-center:before {
+    content: "\e948";
+}
+
+.pi-align-justify:before {
+    content: "\e949";
+}
+
+.pi-cog:before {
+    content: "\e94a";
+}
+
+.pi-cloud-download:before {
+    content: "\e943";
+}
+
+.pi-cloud-upload:before {
+    content: "\e944";
+}
+
+.pi-cloud:before {
+    content: "\e945";
+}
+
+.pi-pencil:before {
+    content: "\e942";
+}
+
+.pi-users:before {
+    content: "\e941";
+}
+
+.pi-clock:before {
+    content: "\e940";
+}
+
+.pi-user-minus:before {
+    content: "\e93e";
+}
+
+.pi-user-plus:before {
+    content: "\e93f";
+}
+
+.pi-trash:before {
+    content: "\e93d";
+}
+
+.pi-external-link:before {
+    content: "\e93c";
+}
+
+.pi-window-maximize:before {
+    content: "\e93b";
+}
+
+.pi-window-minimize:before {
+    content: "\e93a";
+}
+
+.pi-refresh:before {
+    content: "\e938";
+}
+  
+.pi-user:before {
+    content: "\e939";
+}
+
+.pi-exclamation-triangle:before {
+    content: "\e922";
+}
+
+.pi-calendar:before {
+    content: "\e927";
+}
+
+.pi-chevron-circle-left:before {
+    content: "\e928";
+}
+
+.pi-chevron-circle-down:before {
+    content: "\e929";
+}
+
+.pi-chevron-circle-right:before {
+    content: "\e92a";
+}
+
+.pi-chevron-circle-up:before {
+    content: "\e92b";
+}
+
+.pi-angle-double-down:before {
+    content: "\e92c";
+}
+
+.pi-angle-double-left:before {
+    content: "\e92d";
+}
+
+.pi-angle-double-right:before {
+    content: "\e92e";
+}
+
+.pi-angle-double-up:before {
+    content: "\e92f";
+}
+
+.pi-angle-down:before {
+    content: "\e930";
+}
+
+.pi-angle-left:before {
+    content: "\e931";
+}
+
+.pi-angle-right:before {
+    content: "\e932";
+}
+
+.pi-angle-up:before {
+    content: "\e933";
+}
+
+.pi-upload:before {
+    content: "\e934";
+}
+
+.pi-download:before {
+    content: "\e956";
+}
+
+.pi-ban:before {
+    content: "\e935";
+}
+
+.pi-star-fill:before {
+    content: "\e936";
+}
+
+.pi-star:before {
+    content: "\e937";
+}
+
+.pi-chevron-left:before {
+    content: "\e900";
+}
+
+.pi-chevron-right:before {
+    content: "\e901";
+}
+
+.pi-chevron-down:before {
+    content: "\e902";
+}
+
+.pi-chevron-up:before {
+    content: "\e903";
+}
+
+.pi-caret-left:before {
+    content: "\e904";
+}
+
+.pi-caret-right:before {
+    content: "\e905";
+}
+
+.pi-caret-down:before {
+    content: "\e906";
+}
+
+.pi-caret-up:before {
+    content: "\e907";
+}
+
+.pi-search:before {
+    content: "\e908";
+}
+
+.pi-check:before {
+    content: "\e909";
+}
+
+.pi-check-circle:before {
+    content: "\e90a";
+}
+
+.pi-times:before {
+    content: "\e90b";
+}
+
+.pi-times-circle:before {
+    content: "\e90c";
+}
+
+.pi-plus:before {
+    content: "\e90d";
+}
+
+.pi-plus-circle:before {
+    content: "\e90e";
+}
+
+.pi-minus:before {
+    content: "\e90f";
+}
+
+.pi-minus-circle:before {
+    content: "\e910";
+}
+
+.pi-circle-on:before {
+    content: "\e911";
+}
+
+.pi-circle-off:before {
+    content: "\e912";
+}
+
+.pi-sort-down:before {
+    content: "\e913";
+}
+
+.pi-sort-up:before {
+    content: "\e914";
+}
+
+.pi-sort:before {
+    content: "\e915";
+}
+
+.pi-step-backward:before {
+    content: "\e916";
+}
+
+.pi-step-forward:before {
+    content: "\e917";
+}
+
+.pi-th-large:before {
+    content: "\e918";
+}
+
+.pi-arrow-down:before {
+    content: "\e919";
+}
+
+.pi-arrow-left:before {
+    content: "\e91a";
+}
+
+.pi-arrow-right:before {
+    content: "\e91b";
+}
+
+.pi-arrow-up:before {
+    content: "\e91c";
+}
+
+.pi-bars:before {
+    content: "\e91d";
+}
+
+.pi-arrow-circle-down:before {
+    content: "\e91e";
+}
+
+.pi-arrow-circle-left:before {
+    content: "\e91f";
+}
+
+.pi-arrow-circle-right:before {
+    content: "\e920";
+}
+
+.pi-arrow-circle-up:before {
+    content: "\e921";
+}
+
+.pi-info:before {
+    content: "\e923";
+}
+
+.pi-info-circle:before {
+    content: "\e924";
+}
+
+.pi-home:before {
+    content: "\e925";
+}
+
+.pi-spinner:before {
+    content: "\e926";
+}
+
+:root {
+  --red-600: #dc3545;
+}
+
+.comfy-missing-nodes[data-v-0a88b934] {
+  font-family: monospace;
+  color: var(--red-600);
+  padding: 1.5rem;
+  background-color: var(--surface-ground);
+  border-radius: var(--border-radius);
+  box-shadow: var(--card-shadow);
+}
+.warning-title[data-v-0a88b934] {
+  margin-top: 0;
+  margin-bottom: 1rem;
+}
+.warning-description[data-v-0a88b934] {
+  margin-bottom: 1rem;
+}
+.missing-nodes-list[data-v-0a88b934] {
+  max-height: 300px;
+  overflow-y: auto;
+}
+.missing-nodes-list.maximized[data-v-0a88b934] {
+  max-height: unset;
+}
+.missing-node-item[data-v-0a88b934] {
+  display: flex;
+  align-items: center;
+  padding: 0.5rem;
+}
+.node-type[data-v-0a88b934] {
+  font-weight: 600;
+  color: var(--text-color);
+}
+.node-hint[data-v-0a88b934] {
+  margin-left: 0.5rem;
+  font-style: italic;
+  color: var(--text-color-secondary);
+}
+[data-v-0a88b934] .p-button {
+  margin-left: auto;
+}
+.added-nodes-warning[data-v-0a88b934] {
+  margin-top: 1rem;
+  font-style: italic;
+}
+
+:root {
+  --red-600: #dc3545;
+  --green-500: #28a745;
+}
+
+.comfy-missing-models[data-v-a71fe7ef] {
+  font-family: monospace;
+  color: var(--red-600);
+  padding: 1.5rem;
+  background-color: var(--surface-ground);
+  border-radius: var(--border-radius);
+  box-shadow: var(--card-shadow);
+}
+.warning-title[data-v-a71fe7ef] {
+  margin-top: 0;
+  margin-bottom: 1rem;
+}
+.warning-description[data-v-a71fe7ef] {
+  margin-bottom: 1rem;
+}
+.missing-models-list[data-v-a71fe7ef] {
+  max-height: 300px;
+  overflow-y: auto;
+}
+.missing-models-list.maximized[data-v-a71fe7ef] {
+  max-height: unset;
+}
+.missing-model-item[data-v-a71fe7ef] {
+  display: flex;
+  align-items: flex-start;
+  padding: 0.5rem;
+  position: relative;
+  overflow: hidden;
+  width: 100%;
+}
+.missing-model-item[data-v-a71fe7ef]::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  height: 100%;
+  width: var(--progress);
+  background-color: var(--green-500);
+  opacity: 0.2;
+  transition: width 0.3s ease;
+}
+.model-info[data-v-a71fe7ef] {
+  flex: 1;
+  min-width: 0;
+  z-index: 1;
+  display: flex;
+  flex-direction: column;
+  margin-right: 1rem;
+  overflow: hidden;
+}
+.model-details[data-v-a71fe7ef] {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+.model-type[data-v-a71fe7ef] {
+  font-weight: 600;
+  color: var(--text-color);
+  margin-right: 0.5rem;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+.model-hint[data-v-a71fe7ef] {
+  font-style: italic;
+  color: var(--text-color-secondary);
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+.model-error[data-v-a71fe7ef] {
+  color: var(--red-600);
+  font-size: 0.8rem;
+  margin-top: 0.25rem;
+}
+.model-action[data-v-a71fe7ef] {
+  display: flex;
+  align-items: center;
+  justify-content: flex-end;
+  z-index: 1;
+}
+.model-action-button[data-v-a71fe7ef] {
+  min-width: 80px;
+}
+.download-progress[data-v-a71fe7ef],
+.download-complete[data-v-a71fe7ef],
+.download-error[data-v-a71fe7ef] {
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  min-width: 80px;
+}
+.progress-text[data-v-a71fe7ef] {
+  font-size: 0.8rem;
+  color: var(--text-color);
+}
+.download-complete i[data-v-a71fe7ef],
+.download-error i[data-v-a71fe7ef] {
+  font-size: 1.2rem;
+}
+
+.input-slider[data-v-0937e20d] {
+  display: flex;
+  align-items: center;
+  gap: 1rem;
+}
+.slider-part[data-v-0937e20d] {
+  flex-grow: 1;
+}
+.input-part[data-v-0937e20d] {
+  width: 5rem !important;
+}
+
+.info-chip[data-v-25bd5f50] {
+  background: transparent;
+}
+.setting-item[data-v-25bd5f50] {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  margin-bottom: 1rem;
+}
+.setting-label[data-v-25bd5f50] {
+  display: flex;
+  align-items: center;
+  flex: 1;
+}
+.setting-input[data-v-25bd5f50] {
+  flex: 1;
+  display: flex;
+  justify-content: flex-end;
+  margin-left: 1rem;
+}
+
+/* Ensure PrimeVue components take full width of their container */
+.setting-input[data-v-25bd5f50] .p-inputtext,
+.setting-input[data-v-25bd5f50] .input-slider,
+.setting-input[data-v-25bd5f50] .p-select,
+.setting-input[data-v-25bd5f50] .p-togglebutton {
+  width: 100%;
+  max-width: 200px;
+}
+.setting-input[data-v-25bd5f50] .p-inputtext {
+  max-width: unset;
+}
+
+/* Special case for ToggleSwitch to align it to the right */
+.setting-input[data-v-25bd5f50] .p-toggleswitch {
+  margin-left: auto;
+}
+
+[data-v-a4c03005] .i-badge {
+
+    --tw-bg-opacity: 1;
+
+    background-color: rgb(34 197 94 / var(--tw-bg-opacity));
+
+    --tw-text-opacity: 1;
+
+    color: rgb(255 255 255 / var(--tw-text-opacity))
+}
+[data-v-a4c03005] .o-badge {
+
+    --tw-bg-opacity: 1;
+
+    background-color: rgb(239 68 68 / var(--tw-bg-opacity));
+
+    --tw-text-opacity: 1;
+
+    color: rgb(255 255 255 / var(--tw-text-opacity))
+}
+[data-v-a4c03005] .c-badge {
+
+    --tw-bg-opacity: 1;
+
+    background-color: rgb(59 130 246 / var(--tw-bg-opacity));
+
+    --tw-text-opacity: 1;
+
+    color: rgb(255 255 255 / var(--tw-text-opacity))
+}
+[data-v-a4c03005] .s-badge {
+
+    --tw-bg-opacity: 1;
+
+    background-color: rgb(234 179 8 / var(--tw-bg-opacity))
+}
+
+.search-box-input[data-v-73e04275] {
+  width: 100%;
+  padding-left: 36px;
+}
+.search-box-input.with-filter[data-v-73e04275] {
+  padding-right: 36px;
+}
+.p-button.p-inputicon[data-v-73e04275] {
+  padding: 0;
+  width: auto;
+  border: none !important;
+}
+.search-filters[data-v-73e04275] {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 0.5rem;
+  padding-top: 0.5rem;
+}
+
+.no-results-placeholder[data-v-b87655d7] {
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  height: 100%;
+  padding: 2rem;
+}
+.no-results-placeholder[data-v-b87655d7] .p-card {
+  background-color: var(--surface-ground);
+  text-align: center;
+  box-shadow: unset;
+}
+.no-results-placeholder h3[data-v-b87655d7] {
+  color: var(--text-color);
+  margin-bottom: 0.5rem;
+}
+.no-results-placeholder p[data-v-b87655d7] {
+  color: var(--text-color-secondary);
+  margin-bottom: 1rem;
+}
+
+/* Remove after we have tailwind setup */
+.border-none {
+  border: none !important;
+}
+.settings-tab-panels {
+  padding-top: 0px !important;
+}
+
+.settings-container[data-v-593b49af] {
+  display: flex;
+  height: 70vh;
+  width: 60vw;
+  max-width: 1000px;
+  overflow: hidden;
+  /* Prevents container from scrolling */
+}
+.settings-sidebar[data-v-593b49af] {
+  width: 250px;
+  flex-shrink: 0;
+  /* Prevents sidebar from shrinking */
+  overflow-y: auto;
+  padding: 10px;
+}
+.settings-search-box[data-v-593b49af] {
+  width: 100%;
+  margin-bottom: 10px;
+}
+.settings-content[data-v-593b49af] {
+  flex-grow: 1;
+  overflow-y: auto;
+  /* Allows vertical scrolling */
+}
+
+/* Ensure the Listbox takes full width of the sidebar */
+.settings-sidebar[data-v-593b49af] .p-listbox {
+  width: 100%;
+}
+
+/* Optional: Style scrollbars for webkit browsers */
+.settings-sidebar[data-v-593b49af]::-webkit-scrollbar,
+.settings-content[data-v-593b49af]::-webkit-scrollbar {
+  width: 1px;
+}
+.settings-sidebar[data-v-593b49af]::-webkit-scrollbar-thumb,
+.settings-content[data-v-593b49af]::-webkit-scrollbar-thumb {
+  background-color: transparent;
+}
+@media (max-width: 768px) {
+.settings-container[data-v-593b49af] {
+    flex-direction: column;
+    height: auto;
+}
+.settings-sidebar[data-v-593b49af] {
+    width: 100%;
+}
+}
+
+.pi-cog[data-v-494412ee] {
+  font-size: 1.25rem;
+  margin-right: 0.5rem;
+}
+.version-tag[data-v-494412ee] {
+  margin-left: 0.5rem;
+}
+
+.comfy-error-report[data-v-12539d86] {
+  display: flex;
+  flex-direction: column;
+  gap: 1rem;
+}
+.action-container[data-v-12539d86] {
+  display: flex;
+  gap: 1rem;
+  justify-content: flex-end;
+}
+.wrapper-pre[data-v-12539d86] {
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+.no-results-placeholder[data-v-12539d86] {
+  padding-top: 0;
+}
+.lds-ring {
+  display: inline-block;
+  position: relative;
+  width: 1em;
+  height: 1em;
+}
+.lds-ring div {
+  box-sizing: border-box;
+  display: block;
+  position: absolute;
+  width: 100%;
+  height: 100%;
+  border: 0.15em solid #fff;
+  border-radius: 50%;
+  animation: lds-ring 1.2s cubic-bezier(0.5, 0, 0.5, 1) infinite;
+  border-color: #fff transparent transparent transparent;
+}
+.lds-ring div:nth-child(1) {
+  animation-delay: -0.45s;
+}
+.lds-ring div:nth-child(2) {
+  animation-delay: -0.3s;
+}
+.lds-ring div:nth-child(3) {
+  animation-delay: -0.15s;
+}
+@keyframes lds-ring {
+  0% {
+    transform: rotate(0deg);
+  }
+  100% {
+    transform: rotate(360deg);
+  }
+}
+.relative {
+  position: relative;
+}
+.hidden {
+  display: none !important;
+}
+.mdi.rotate270::before {
+  transform: rotate(270deg);
+}
+
+/* Generic */
+.comfyui-button {
+  display: flex;
+  align-items: center;
+  gap: 0.5em;
+  cursor: pointer;
+  border: none;
+  border-radius: 4px;
+  padding: 4px 8px;
+  box-sizing: border-box;
+  margin: 0;
+  transition: box-shadow 0.1s;
+}
+
+.comfyui-button:active {
+  box-shadow: inset 1px 1px 10px rgba(0, 0, 0, 0.5);
+}
+
+.comfyui-button:disabled {
+  opacity: 0.5;
+  cursor: not-allowed;
+}
+.primary .comfyui-button,
+.primary.comfyui-button {
+  background-color: var(--primary-bg) !important;
+  color: var(--primary-fg) !important;
+}
+
+.primary .comfyui-button:not(:disabled):hover,
+.primary.comfyui-button:not(:disabled):hover {
+  background-color: var(--primary-hover-bg) !important;
+  color: var(--primary-hover-fg) !important;
+}
+
+/* Popup */
+.comfyui-popup {
+  position: absolute;
+  left: var(--left);
+  right: var(--right);
+  top: var(--top);
+  bottom: var(--bottom);
+  z-index: 2000;
+  max-height: calc(100vh - var(--limit) - 10px);
+  box-shadow: 3px 3px 5px 0px rgba(0, 0, 0, 0.3);
+}
+
+.comfyui-popup:not(.open) {
+  display: none;
+}
+
+.comfyui-popup.right.open {
+  border-top-left-radius: 4px;
+  border-bottom-right-radius: 4px;
+  border-bottom-left-radius: 4px;
+  overflow: hidden;
+}
+/* Split button */
+.comfyui-split-button {
+  position: relative;
+  display: flex;
+}
+
+.comfyui-split-primary {
+  flex: auto;
+}
+
+.comfyui-split-primary .comfyui-button {
+  border-top-right-radius: 0;
+  border-bottom-right-radius: 0;
+  border-right: 1px solid var(--comfy-menu-bg);
+  width: 100%;
+}
+
+.comfyui-split-arrow .comfyui-button {
+  border-top-left-radius: 0;
+  border-bottom-left-radius: 0;
+  padding-left: 2px;
+  padding-right: 2px;
+}
+
+.comfyui-split-button-popup {
+  white-space: nowrap;
+  background-color: var(--content-bg);
+  color: var(--content-fg);
+  display: flex;
+  flex-direction: column;
+  overflow: auto;
+}
+
+.comfyui-split-button-popup.hover {
+  z-index: 2001;
+}
+.comfyui-split-button-popup > .comfyui-button {
+  border: none;
+  background-color: transparent;
+  color: var(--fg-color);
+  padding: 8px 12px 8px 8px;
+}
+
+.comfyui-split-button-popup > .comfyui-button:not(:disabled):hover {
+  background-color: var(--comfy-input-bg);
+}
+
+/* Button group */
+.comfyui-button-group {
+  display: flex;
+  border-radius: 4px;
+  overflow: hidden;
+}
+
+.comfyui-button-group > .comfyui-button,
+.comfyui-button-group > .comfyui-button-wrapper > .comfyui-button {
+  padding: 4px 10px;
+  border-radius: 0;
+}
+
+/* Menu */
+.comfyui-menu {
+  width: 100vw;
+  background: var(--comfy-menu-bg);
+  color: var(--fg-color);
+  font-family: Arial, Helvetica, sans-serif;
+  font-size: 0.8em;
+  display: flex;
+  padding: 4px 8px;
+  align-items: center;
+  gap: 8px;
+  box-sizing: border-box;
+  z-index: 1000;
+  order: 0;
+  grid-column: 1/-1;
+  overflow: auto;
+  max-height: 90vh;
+}
+
+.comfyui-menu>* {
+  flex-shrink: 0;
+}
+.comfyui-menu .mdi::before {
+  font-size: 18px;
+}
+
+.comfyui-menu .comfyui-button {
+  background: var(--comfy-input-bg);
+  color: var(--fg-color);
+  white-space: nowrap;
+}
+
+.comfyui-menu .comfyui-button:not(:disabled):hover {
+  background: var(--border-color);
+  color: var(--content-fg);
+}
+
+.comfyui-menu .comfyui-split-button-popup > .comfyui-button {
+  border-radius: 0;
+  background-color: transparent;
+}
+
+.comfyui-menu .comfyui-split-button-popup > .comfyui-button:not(:disabled):hover {
+  background-color: var(--comfy-input-bg);
+}
+
+.comfyui-menu .comfyui-split-button-popup.left {
+  border-top-right-radius: 4px;
+  border-bottom-left-radius: 4px;
+  border-bottom-right-radius: 4px;
+}
+
+.comfyui-menu .comfyui-button.popup-open {
+  background-color: var(--content-bg);
+  color: var(--content-fg);
+}
+
+.comfyui-menu-push {
+  margin-left: -0.8em;
+  flex: auto;
+}
+
+.comfyui-logo {
+  font-size: 1.2em;
+  margin: 0;
+  -webkit-user-select: none;
+     -moz-user-select: none;
+          user-select: none;
+  cursor: default;
+}
+
+/* Workflows */
+.comfyui-workflows-button {
+  flex-direction: row-reverse;
+  max-width: 200px;
+  position: relative;
+  z-index: 0;
+}
+
+.comfyui-workflows-button.popup-open {
+  border-bottom-left-radius: 0;
+  border-bottom-right-radius: 0;
+}
+.comfyui-workflows-button.unsaved {
+  font-style: italic;
+}
+.comfyui-workflows-button-progress {
+  position: absolute;
+  top: 0;
+  left: 0;
+  background-color: green;
+  height: 100%;
+  border-radius: 4px;
+  z-index: -1;
+}
+
+.comfyui-workflows-button > span {
+  flex: auto;
+  text-align: left;
+  overflow: hidden;
+}
+.comfyui-workflows-button-inner {
+  display: flex;
+  align-items: center;
+  gap: 7px;
+  width: 150px;
+}
+.comfyui-workflows-label {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  direction: rtl;
+  flex: auto;
+  position: relative;
+}
+
+.comfyui-workflows-button.unsaved .comfyui-workflows-label {
+  padding-left: 8px;
+}
+
+.comfyui-workflows-button.unsaved .comfyui-workflows-label:after {
+  content: "*";
+  position: absolute;
+  top: 0;
+  left: 0;
+}
+.comfyui-workflows-button-inner .mdi-graph::before {
+  transform: rotate(-90deg);
+}
+
+.comfyui-workflows-popup {
+  font-family: Arial, Helvetica, sans-serif;
+  font-size: 0.8em;
+  padding: 10px;
+  overflow: auto;
+  background-color: var(--content-bg);
+  color: var(--content-fg);
+  border-top-right-radius: 4px;
+  border-bottom-right-radius: 4px;
+  border-bottom-left-radius: 4px;
+  z-index: 1001;
+}
+
+.comfyui-workflows-panel {
+  min-height: 150px;
+}
+
+.comfyui-workflows-panel .lds-ring {
+  transform: translate(-50%);
+  position: absolute;
+  left: 50%;
+  top: 75px;
+}
+
+.comfyui-workflows-panel h3 {
+  margin: 10px 0 10px 0;
+  font-size: 11px;
+  opacity: 0.8;
+}
+
+.comfyui-workflows-panel section header {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+}
+.comfy-ui-workflows-search .mdi {
+  position: relative;
+  top: 2px;
+  pointer-events: none;
+}
+.comfy-ui-workflows-search input {
+  background-color: var(--comfy-input-bg);
+  color: var(--input-text);
+  border: none;
+  border-radius: 4px;
+  padding: 4px 10px;
+  margin-left: -24px;
+  text-indent: 18px;
+}
+.comfy-ui-workflows-search input:-moz-placeholder-shown {
+  width: 10px;
+}
+.comfy-ui-workflows-search input:placeholder-shown {
+  width: 10px;
+}
+.comfy-ui-workflows-search input:-moz-placeholder-shown:focus {
+  width: auto;
+}
+.comfy-ui-workflows-search input:placeholder-shown:focus {
+  width: auto;
+}
+.comfyui-workflows-actions {
+  display: flex;
+  gap: 10px;
+  margin-bottom: 10px;
+}
+
+.comfyui-workflows-actions .comfyui-button {
+  background: var(--comfy-input-bg);
+  color: var(--input-text);
+}
+
+.comfyui-workflows-actions .comfyui-button:not(:disabled):hover {
+  background: var(--primary-bg);
+  color: var(--primary-fg);
+}
+
+.comfyui-workflows-favorites,
+.comfyui-workflows-open {
+  border-bottom: 1px solid var(--comfy-input-bg);
+  padding-bottom: 5px;
+  margin-bottom: 5px;
+}
+
+.comfyui-workflows-open .active {
+  font-weight: bold;
+  color: var(--primary-fg);
+}
+
+.comfyui-workflows-favorites:empty {
+  display: none;
+}
+
+.comfyui-workflows-tree {
+  padding: 0;
+  margin: 0;
+}
+
+.comfyui-workflows-tree:empty::after {
+  content: "No saved workflows";
+  display: block;
+  text-align: center;
+}
+.comfyui-workflows-tree > ul {
+  padding: 0;
+}
+
+.comfyui-workflows-tree > ul ul {
+  margin: 0;
+  padding: 0 0 0 25px;
+}
+
+.comfyui-workflows-tree:not(.filtered) .closed > ul {
+  display: none;
+}
+
+.comfyui-workflows-tree li,
+.comfyui-workflows-tree-file {
+  --item-height: 32px;
+  list-style-type: none;
+  height: var(--item-height);
+  display: flex;
+  align-items: center;
+  gap: 5px;
+  cursor: pointer;
+  -webkit-user-select: none;
+     -moz-user-select: none;
+          user-select: none;
+}
+
+.comfyui-workflows-tree-file.active::before,
+.comfyui-workflows-tree li:hover::before,
+.comfyui-workflows-tree-file:hover::before {
+  content: "";
+  position: absolute;
+  width: 100%;
+  left: 0;
+  height: var(--item-height);
+  background-color: var(--content-hover-bg);
+  color: var(--content-hover-fg);
+  z-index: -1;
+}
+
+.comfyui-workflows-tree-file.active::before {
+  background-color: var(--primary-bg);
+  color: var(--primary-fg);
+}
+
+.comfyui-workflows-tree-file.running:not(:hover)::before {
+  content: "";
+  position: absolute;
+  width: var(--progress, 0);
+  left: 0;
+  height: var(--item-height);
+  background-color: green;
+  z-index: -1;
+}
+
+.comfyui-workflows-tree-file.unsaved span {
+  font-style: italic;
+}
+
+.comfyui-workflows-tree-file span {
+  flex: auto;
+}
+
+.comfyui-workflows-tree-file span + .comfyui-workflows-file-action {
+  margin-left: 10px;
+}
+
+.comfyui-workflows-tree-file .comfyui-workflows-file-action {
+  background-color: transparent;
+  color: var(--fg-color);
+  padding: 2px 4px;
+}
+
+.comfyui-workflows-tree-file.active .comfyui-workflows-file-action {
+	color: var(--primary-fg);
+}
+
+.lg ~ .comfyui-workflows-popup .comfyui-workflows-tree-file:not(:hover) .comfyui-workflows-file-action {
+  opacity: 0;
+}
+
+.comfyui-workflows-tree-file .comfyui-workflows-file-action:hover {
+  background-color: var(--primary-bg);
+  color: var(--primary-fg);
+}
+
+.comfyui-workflows-tree-file .comfyui-workflows-file-action-primary {
+  background-color: transparent;
+  color: var(--fg-color);
+  padding: 2px 4px;
+  margin: 0 -4px;
+}
+
+.comfyui-workflows-file-action-favorite .mdi-star {
+  color: orange;
+}
+
+/* View List */
+.comfyui-view-list-popup {
+  padding: 10px;
+  background-color: var(--content-bg);
+  color: var(--content-fg);
+  min-width: 170px;
+  min-height: 435px;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  box-sizing: border-box;
+}
+.comfyui-view-list-popup h3 {
+  margin: 0 0 5px 0;
+}
+.comfyui-view-list-items {
+  width: 100%;
+  background: var(--comfy-menu-bg);
+  border-radius: 5px;
+  display: flex;
+  justify-content: center;
+  flex: auto;
+  align-items: center;
+  flex-direction: column;
+}
+.comfyui-view-list-items section {
+  max-height: 400px;
+  overflow: auto;
+  width: 100%;
+  display: grid;
+  grid-template-columns: auto auto auto;
+  align-items: center;
+  justify-content: center;
+  gap: 5px;
+  padding: 5px 0;
+}
+.comfyui-view-list-items section + section {
+  border-top: 1px solid var(--border-color);
+  margin-top: 10px;
+  padding-top: 5px;
+}
+.comfyui-view-list-items section h5 {
+  grid-column: 1 / 4;
+  text-align: center;
+  margin: 5px;
+}
+.comfyui-view-list-items span {
+  text-align: center;
+  padding: 0 2px;
+}
+.comfyui-view-list-popup header {
+  margin-bottom: 10px;
+  display: flex;
+  gap: 5px;
+}
+.comfyui-view-list-popup header .comfyui-button {
+  border: 1px solid transparent;
+}
+.comfyui-view-list-popup header .comfyui-button:not(:disabled):hover {
+  border: 1px solid var(--comfy-menu-bg);
+}
+/* Queue button */
+.comfyui-queue-button .comfyui-split-primary .comfyui-button {
+  padding-right: 12px;
+}
+.comfyui-queue-count {
+  margin-left: 5px;
+  border-radius: 10px;
+  background-color: rgb(8, 80, 153);
+  padding: 2px 4px;
+  font-size: 10px;
+  min-width: 1em;
+  display: inline-block;
+}
+/* Queue options*/
+.comfyui-queue-options {
+  padding: 10px;
+  font-family: Arial, Helvetica, sans-serif;
+  font-size: 12px;
+  display: flex;
+  gap: 10px;
+}
+
+.comfyui-queue-batch {
+  display: flex;
+  flex-direction: column;
+  border-right: 1px solid var(--comfy-menu-bg);
+  padding-right: 10px;
+  gap: 5px;
+}
+
+.comfyui-queue-batch input {
+  width: 145px;
+}
+
+.comfyui-queue-batch .comfyui-queue-batch-value {
+  width: 70px;
+}
+
+.comfyui-queue-mode {
+  display: flex;
+  flex-direction: column;
+}
+
+.comfyui-queue-mode span {
+  font-weight: bold;
+  margin-bottom: 2px;
+}
+
+.comfyui-queue-mode label {
+  display: flex;
+  flex-direction: row-reverse;
+  justify-content: start;
+  gap: 5px;
+  padding: 2px 0;
+}
+
+.comfyui-queue-mode label input {
+  padding: 0;
+  margin: 0;
+}
+
+/** Send to workflow widget selection dialog */
+.comfy-widget-selection-dialog {
+  border: none;
+}
+
+.comfy-widget-selection-dialog div {
+  color: var(--fg-color);
+  font-family: Arial, Helvetica, sans-serif;
+}
+
+.comfy-widget-selection-dialog h2 {
+  margin-top: 0;
+}
+
+.comfy-widget-selection-dialog section {
+  width: -moz-fit-content;
+  width: fit-content;
+  display: flex;
+  flex-direction: column;
+}
+
+.comfy-widget-selection-item {
+  display: flex;
+  gap: 10px;
+  align-items: center;
+}
+
+.comfy-widget-selection-item span {
+  margin-right: auto;
+}
+
+.comfy-widget-selection-item span::before {
+  content: '#' attr(data-id);
+  opacity: 0.5;
+  margin-right: 5px;
+}
+
+.comfy-modal .comfy-widget-selection-item button {
+  font-size: 1em;
+}
+
+/***** Responsive *****/
+.lg.comfyui-menu .lt-lg-show {
+  display: none !important;
+}
+.comfyui-menu:not(.lg) .nlg-hide {
+  display: none !important;
+}
+/** Large screen */
+.lg.comfyui-menu>.comfyui-menu-mobile-collapse .comfyui-button span,
+.lg.comfyui-menu>.comfyui-menu-mobile-collapse.comfyui-button span {
+  display: none;
+}
+.lg.comfyui-menu>.comfyui-menu-mobile-collapse .comfyui-popup .comfyui-button span {
+  display: unset;
+}
+
+/** Non large screen */
+.lt-lg.comfyui-menu {
+  flex-wrap: wrap;
+}
+
+.lt-lg.comfyui-menu > *:not(.comfyui-menu-mobile-collapse) {
+  order: 1;
+}
+
+.lt-lg.comfyui-menu > .comfyui-menu-mobile-collapse {
+  order: 9999;
+  width: 100%;
+}
+
+.comfyui-body-bottom .lt-lg.comfyui-menu > .comfyui-menu-mobile-collapse {
+  order: -1;
+}
+
+.comfyui-body-bottom .lt-lg.comfyui-menu > .comfyui-menu-button {
+  top: unset;
+  bottom: 4px;
+}
+
+.lt-lg.comfyui-menu > .comfyui-menu-mobile-collapse.comfyui-button-group {
+  flex-wrap: wrap;
+}
+
+.lt-lg.comfyui-menu > .comfyui-menu-mobile-collapse .comfyui-button,
+.lt-lg.comfyui-menu > .comfyui-menu-mobile-collapse.comfyui-button {
+  padding: 10px;
+}
+.lt-lg.comfyui-menu > .comfyui-menu-mobile-collapse .comfyui-button,
+.lt-lg.comfyui-menu > .comfyui-menu-mobile-collapse .comfyui-button-wrapper {
+  width: 100%;
+}
+
+.lt-lg.comfyui-menu > .comfyui-menu-mobile-collapse .comfyui-popup {
+  position: static;
+  background-color: var(--comfy-input-bg);
+  max-width: unset;
+  max-height: 50vh;
+  overflow: auto;
+}
+
+.lt-lg.comfyui-menu:not(.expanded) > .comfyui-menu-mobile-collapse {
+  display: none;
+}
+
+.lt-lg .comfyui-queue-button {
+  margin-right: 44px;
+}
+
+.lt-lg .comfyui-menu-button {
+  position: absolute;
+  top: 4px;
+  right: 8px;
+}
+
+.lt-lg.comfyui-menu > .comfyui-menu-mobile-collapse .comfyui-view-list-popup {
+  border-radius: 0;
+}
+
+.lt-lg.comfyui-menu .comfyui-workflows-popup {
+  width: 100vw;
+}
+
+/** Small */
+.lt-md .comfyui-workflows-button-inner {
+  width: unset !important;
+}
+.lt-md  .comfyui-workflows-label {
+  display: none;
+}
+
+/** Extra small */
+.lt-sm .comfyui-queue-button {
+  margin-right: 0;
+  width: 100%;
+}
+.lt-sm .comfyui-queue-button .comfyui-button {
+  justify-content: center;
+}
+.lt-sm .comfyui-interrupt-button {
+  margin-right: 45px;
+}
+.comfyui-body-bottom .lt-sm.comfyui-menu > .comfyui-menu-button{
+  bottom: 41px;
+}/* this CSS contains only the basic CSS needed to run the app and use it */
+
+.lgraphcanvas {
+    /*cursor: crosshair;*/
+    user-select: none;
+    -moz-user-select: none;
+    -webkit-user-select: none;
+	outline: none;
+    font-family: Tahoma, sans-serif;
+}
+
+.lgraphcanvas * {
+    box-sizing: border-box;
+}
+
+.litegraph.litecontextmenu {
+    font-family: Tahoma, sans-serif;
+    position: fixed;
+    top: 100px;
+    left: 100px;
+    min-width: 100px;
+    color: #aaf;
+    padding: 0;
+    box-shadow: 0 0 10px black !important;
+    background-color: #2e2e2e !important;
+	z-index: 10;
+}
+
+.litegraph.litecontextmenu.dark {
+    background-color: #000 !important;
+}
+
+.litegraph.litecontextmenu .litemenu-title img {
+    margin-top: 2px;
+    margin-left: 2px;
+    margin-right: 4px;
+}
+
+.litegraph.litecontextmenu .litemenu-entry {
+    margin: 2px;
+    padding: 2px;
+}
+
+.litegraph.litecontextmenu .litemenu-entry.submenu {
+    background-color: #2e2e2e !important;
+}
+
+.litegraph.litecontextmenu.dark .litemenu-entry.submenu {
+    background-color: #000 !important;
+}
+
+.litegraph .litemenubar ul {
+    font-family: Tahoma, sans-serif;
+    margin: 0;
+    padding: 0;
+}
+
+.litegraph .litemenubar li {
+    font-size: 14px;
+    color: #999;
+    display: inline-block;
+    min-width: 50px;
+    padding-left: 10px;
+    padding-right: 10px;
+    user-select: none;
+    -moz-user-select: none;
+    -webkit-user-select: none;
+    cursor: pointer;
+}
+
+.litegraph .litemenubar li:hover {
+    background-color: #777;
+    color: #eee;
+}
+
+.litegraph .litegraph .litemenubar-panel {
+    position: absolute;
+    top: 5px;
+    left: 5px;
+    min-width: 100px;
+    background-color: #444;
+    box-shadow: 0 0 3px black;
+    padding: 4px;
+    border-bottom: 2px solid #aaf;
+    z-index: 10;
+}
+
+.litegraph .litemenu-entry,
+.litemenu-title {
+    font-size: 12px;
+    color: #aaa;
+    padding: 0 0 0 4px;
+    margin: 2px;
+    padding-left: 2px;
+    -moz-user-select: none;
+    -webkit-user-select: none;
+    user-select: none;
+    cursor: pointer;
+}
+
+.litegraph .litemenu-entry .icon {
+    display: inline-block;
+    width: 12px;
+    height: 12px;
+    margin: 2px;
+    vertical-align: top;
+}
+
+.litegraph .litemenu-entry.checked .icon {
+    background-color: #aaf;
+}
+
+.litegraph .litemenu-entry .more {
+    float: right;
+    padding-right: 5px;
+}
+
+.litegraph .litemenu-entry.disabled {
+    opacity: 0.5;
+    cursor: default;
+}
+
+.litegraph .litemenu-entry.separator {
+    display: block;
+    border-top: 1px solid #333;
+    border-bottom: 1px solid #666;
+    width: 100%;
+    height: 0px;
+    margin: 3px 0 2px 0;
+    background-color: transparent;
+    padding: 0 !important;
+    cursor: default !important;
+}
+
+.litegraph .litemenu-entry.has_submenu {
+    border-right: 2px solid cyan;
+}
+
+.litegraph .litemenu-title {
+    color: #dde;
+    background-color: #111;
+    margin: 0;
+    padding: 2px;
+    cursor: default;
+}
+
+.litegraph .litemenu-entry:hover:not(.disabled):not(.separator) {
+    background-color: #444 !important;
+    color: #eee;
+    transition: all 0.2s;
+}
+
+.litegraph .litemenu-entry .property_name {
+    display: inline-block;
+    text-align: left;
+    min-width: 80px;
+    min-height: 1.2em;
+}
+
+.litegraph .litemenu-entry .property_value {
+    display: inline-block;
+    background-color: rgba(0, 0, 0, 0.5);
+    text-align: right;
+    min-width: 80px;
+    min-height: 1.2em;
+    vertical-align: middle;
+    padding-right: 10px;
+}
+
+.litegraph.litesearchbox {
+    font-family: Tahoma, sans-serif;
+    position: absolute;
+    background-color: rgba(0, 0, 0, 0.5);
+    padding-top: 4px;
+}
+
+.litegraph.litesearchbox input,
+.litegraph.litesearchbox select {
+    margin-top: 3px;
+    min-width: 60px;
+    min-height: 1.5em;
+    background-color: black;
+    border: 0;
+    color: white;
+    padding-left: 10px;
+    margin-right: 5px;
+    max-width: 300px;
+}
+
+.litegraph.litesearchbox .name {
+    display: inline-block;
+    min-width: 60px;
+    min-height: 1.5em;
+    padding-left: 10px;
+}
+
+.litegraph.litesearchbox .helper {
+    overflow: auto;
+    max-height: 200px;
+    margin-top: 2px;
+}
+
+.litegraph.lite-search-item {
+    font-family: Tahoma, sans-serif;
+    background-color: rgba(0, 0, 0, 0.5);
+    color: white;
+    padding-top: 2px;
+}
+
+.litegraph.lite-search-item.not_in_filter{
+    /*background-color: rgba(50, 50, 50, 0.5);*/
+    /*color: #999;*/
+    color: #B99;
+    font-style: italic;
+}
+
+.litegraph.lite-search-item.generic_type{
+    /*background-color: rgba(50, 50, 50, 0.5);*/
+    /*color: #DD9;*/
+    color: #999;
+    font-style: italic;
+}
+
+.litegraph.lite-search-item:hover,
+.litegraph.lite-search-item.selected {
+    cursor: pointer;
+    background-color: white;
+    color: black;
+}
+
+.litegraph.lite-search-item-type {
+    display: inline-block;
+    background: rgba(0,0,0,0.2);
+    margin-left: 5px;
+    font-size: 14px;
+    padding: 2px 5px;
+    position: relative;
+    top: -2px;
+    opacity: 0.8;
+    border-radius: 4px;
+ }
+
+/* DIALOGs ******/
+
+.litegraph .dialog {
+    position: absolute;
+    top: 50%;
+    left: 50%;
+    margin-top: -150px;
+    margin-left: -200px;
+
+    background-color: #2A2A2A;
+
+    min-width: 400px;
+    min-height: 200px;
+	box-shadow: 0 0 4px #111;
+    border-radius: 6px;
+}
+
+.litegraph .dialog.settings {
+	left: 10px;
+	top: 10px;
+	height: calc( 100% - 20px );
+	margin: auto;
+    max-width: 50%;
+}
+
+.litegraph .dialog.centered {
+    top: 50px;
+    left: 50%;
+    position: absolute;
+    transform: translateX(-50%);
+    min-width: 600px;
+    min-height: 300px;
+    height: calc( 100% - 100px );
+	margin: auto;
+}
+
+.litegraph .dialog .close {
+    float: right;
+	margin: 4px;
+	margin-right: 10px;
+	cursor: pointer;
+	font-size: 1.4em;
+}
+
+.litegraph .dialog .close:hover {
+	color: white;
+}
+
+.litegraph .dialog .dialog-header {
+	color: #AAA;
+	border-bottom: 1px solid #161616; height: 40px;
+}
+.litegraph .dialog .dialog-footer { height: 50px; padding: 10px; border-top: 1px solid #1a1a1a;}
+
+.litegraph .dialog .dialog-header .dialog-title {
+    font: 20px "Arial";
+    margin: 4px;
+    padding: 4px 10px;
+    display: inline-block;
+}
+
+.litegraph .dialog .dialog-content, .litegraph .dialog .dialog-alt-content {
+    height: calc(100% - 90px);
+    width: 100%;
+	min-height: 100px;
+    display: inline-block;
+	color: #AAA;
+    /*background-color: black;*/
+    overflow: auto;
+}
+
+.litegraph .dialog .dialog-content h3 {
+	margin: 10px;
+}
+
+.litegraph .dialog .dialog-content .connections {
+	flex-direction: row;
+}
+
+.litegraph .dialog .dialog-content .connections .connections_side {
+	width: calc(50% - 5px);
+	min-height: 100px;
+	background-color: black;
+	display: flex;
+}
+
+.litegraph .dialog .node_type {
+	font-size: 1.2em;
+	display: block;
+	margin: 10px;
+}
+
+.litegraph .dialog .node_desc {
+	opacity: 0.5;
+	display: block;
+	margin: 10px;
+}
+
+.litegraph .dialog .separator {
+	display: block;
+	width: calc( 100% - 4px );
+	height: 1px;
+	border-top: 1px solid #000;
+	border-bottom: 1px solid #333;
+	margin: 10px 2px;
+	padding: 0;
+}
+
+.litegraph .dialog .property {
+	margin-bottom: 2px;
+	padding: 4px;
+}
+
+.litegraph .dialog .property:hover {
+	background: #545454;
+}
+
+.litegraph .dialog .property_name {
+	color: #737373;
+    display: inline-block;
+    text-align: left;
+    vertical-align: top;
+    width: 160px;
+	padding-left: 4px;
+	overflow: hidden;
+    margin-right: 6px;
+}
+
+.litegraph .dialog .property:hover .property_name {
+    color: white;
+}
+
+.litegraph .dialog .property_value {
+    display: inline-block;
+    text-align: right;
+	color: #AAA;
+	background-color: #1A1A1A;
+    /*width: calc( 100% - 122px );*/
+    max-width: calc( 100% - 162px );
+    min-width: 200px;
+	max-height: 300px;
+    min-height: 20px;
+    padding: 4px;
+	padding-right: 12px;
+	overflow: hidden;
+	cursor: pointer;
+	border-radius: 3px;
+}
+
+.litegraph .dialog .property_value:hover {
+	color: white;
+}
+
+.litegraph .dialog .property.boolean .property_value {
+	padding-right: 30px;
+    color: #A88;
+    /*width: auto;
+    float: right;*/
+}
+
+.litegraph .dialog .property.boolean.bool-on .property_name{
+    color: #8A8;
+}
+.litegraph .dialog .property.boolean.bool-on .property_value{
+    color: #8A8;
+}
+
+.litegraph .dialog .btn {
+	border: 0;
+	border-radius: 4px;
+    padding: 4px 20px;
+    margin-left: 0px;
+    background-color: #060606;
+    color: #8e8e8e;
+}
+
+.litegraph .dialog .btn:hover {
+    background-color: #111;
+    color: #FFF;
+}
+
+.litegraph .dialog .btn.delete:hover {
+    background-color: #F33;
+    color: black;
+}
+
+.litegraph .subgraph_property {
+	padding: 4px;
+}
+
+.litegraph .subgraph_property:hover {
+	background-color: #333;
+}
+
+.litegraph .subgraph_property.extra {
+    margin-top: 8px;
+}
+
+.litegraph .subgraph_property span.name {
+	font-size: 1.3em;
+	padding-left: 4px;
+}
+
+.litegraph .subgraph_property span.type {
+	opacity: 0.5;
+	margin-right: 20px;
+	padding-left: 4px;
+}
+
+.litegraph .subgraph_property span.label {
+	display: inline-block;
+	width: 60px;
+	padding:  0px 10px;
+}
+
+.litegraph .subgraph_property input {
+	width: 140px;
+	color: #999;
+	background-color: #1A1A1A;
+	border-radius: 4px;
+	border: 0;
+	margin-right: 10px;
+	padding: 4px;
+	padding-left: 10px;
+}
+
+.litegraph .subgraph_property button {
+	background-color: #1c1c1c;
+	color: #aaa;
+	border: 0;
+	border-radius: 2px;
+	padding: 4px 10px;
+	cursor: pointer;
+}
+
+.litegraph .subgraph_property.extra {
+	color: #ccc;
+}
+
+.litegraph .subgraph_property.extra input {
+	background-color: #111;
+}
+
+.litegraph .bullet_icon {
+	margin-left: 10px;
+	border-radius: 10px;
+	width: 12px;
+	height: 12px;
+	background-color: #666;
+	display: inline-block;
+	margin-top: 2px;
+	margin-right: 4px;
+    transition: background-color 0.1s ease 0s;
+    -moz-transition: background-color 0.1s ease 0s;
+}
+
+.litegraph .bullet_icon:hover {
+	background-color: #698;
+	cursor: pointer;
+} 
+
+/* OLD */
+
+.graphcontextmenu {
+    padding: 4px;
+    min-width: 100px;
+}
+
+.graphcontextmenu-title {
+    color: #dde;
+    background-color: #222;
+    margin: 0;
+    padding: 2px;
+    cursor: default;
+}
+
+.graphmenu-entry {
+    box-sizing: border-box;
+    margin: 2px;
+    padding-left: 20px;
+    user-select: none;
+    -moz-user-select: none;
+    -webkit-user-select: none;
+    transition: all linear 0.3s;
+}
+
+.graphmenu-entry.event,
+.litemenu-entry.event {
+    border-left: 8px solid orange;
+    padding-left: 12px;
+}
+
+.graphmenu-entry.disabled {
+    opacity: 0.3;
+}
+
+.graphmenu-entry.submenu {
+    border-right: 2px solid #eee;
+}
+
+.graphmenu-entry:hover {
+    background-color: #555;
+}
+
+.graphmenu-entry.separator {
+    background-color: #111;
+    border-bottom: 1px solid #666;
+    height: 1px;
+    width: calc(100% - 20px);
+    -moz-width: calc(100% - 20px);
+    -webkit-width: calc(100% - 20px);
+}
+
+.graphmenu-entry .property_name {
+    display: inline-block;
+    text-align: left;
+    min-width: 80px;
+    min-height: 1.2em;
+}
+
+.graphmenu-entry .property_value,
+.litemenu-entry .property_value {
+    display: inline-block;
+    background-color: rgba(0, 0, 0, 0.5);
+    text-align: right;
+    min-width: 80px;
+    min-height: 1.2em;
+    vertical-align: middle;
+    padding-right: 10px;
+}
+
+.graphdialog {
+    position: absolute;
+    top: 10px;
+    left: 10px;
+    min-height: 2em;
+    background-color: #333;
+    font-size: 1.2em;
+    box-shadow: 0 0 10px black !important;
+	z-index: 10;
+}
+
+.graphdialog.rounded {
+    border-radius: 12px;
+    padding-right: 2px;
+}
+
+.graphdialog .name {
+    display: inline-block;
+    min-width: 60px;
+    min-height: 1.5em;
+    padding-left: 10px;
+}
+
+.graphdialog input,
+.graphdialog textarea,
+.graphdialog select {
+    margin: 3px;
+    min-width: 60px;
+    min-height: 1.5em;
+    background-color: black;
+    border: 0;
+    color: white;
+    padding-left: 10px;
+    outline: none;
+}
+
+.graphdialog textarea {
+	min-height: 150px;
+}
+
+.graphdialog button {
+    margin-top: 3px;
+    vertical-align: top;
+    background-color: #999;
+	border: 0;
+}
+
+.graphdialog button.rounded,
+.graphdialog input.rounded {
+    border-radius: 0 12px 12px 0;
+}
+
+.graphdialog .helper {
+    overflow: auto;
+    max-height: 200px;
+}
+
+.graphdialog .help-item {
+    padding-left: 10px;
+}
+
+.graphdialog .help-item:hover,
+.graphdialog .help-item.selected {
+    cursor: pointer;
+    background-color: white;
+    color: black;
+}
+
+.litegraph .dialog {
+    min-height: 0;
+}
+.litegraph .dialog .dialog-content {
+display: block;
+}
+.litegraph .dialog .dialog-content .subgraph_property {
+padding: 5px;
+}
+.litegraph .dialog .dialog-footer {
+margin: 0;
+}
+.litegraph .dialog .dialog-footer .subgraph_property {
+margin-top: 0;
+display: flex;
+align-items: center;
+padding: 5px;
+}
+.litegraph .dialog .dialog-footer .subgraph_property .name {
+flex: 1;
+}
+.litegraph .graphdialog {
+display: flex;
+align-items: center;
+border-radius: 20px;
+padding: 4px 10px;
+position: fixed;
+}
+.litegraph .graphdialog .name {
+padding: 0;
+min-height: 0;
+font-size: 16px;
+vertical-align: middle;
+}
+.litegraph .graphdialog .value {
+font-size: 16px;
+min-height: 0;
+margin: 0 10px;
+padding: 2px 5px;
+}
+.litegraph .graphdialog input[type="checkbox"] {
+width: 16px;
+height: 16px;
+}
+.litegraph .graphdialog button {
+padding: 4px 18px;
+border-radius: 20px;
+cursor: pointer;
+}
+  
+:root {
+  --fg-color: #000;
+  --bg-color: #fff;
+  --comfy-menu-bg: #353535;
+  --comfy-input-bg: #222;
+  --input-text: #ddd;
+  --descrip-text: #999;
+  --drag-text: #ccc;
+  --error-text: #ff4444;
+  --border-color: #4e4e4e;
+  --tr-even-bg-color: #222;
+  --tr-odd-bg-color: #353535;
+  --primary-bg: #236692;
+  --primary-fg: #ffffff;
+  --primary-hover-bg: #3485bb;
+  --primary-hover-fg: #ffffff;
+  --content-bg: #e0e0e0;
+  --content-fg: #000;
+  --content-hover-bg: #adadad;
+  --content-hover-fg: #000;
+}
+
+@media (prefers-color-scheme: dark) {
+  :root {
+    --fg-color: #fff;
+    --bg-color: #202020;
+    --content-bg: #4e4e4e;
+    --content-fg: #fff;
+    --content-hover-bg: #222;
+    --content-hover-fg: #fff;
+  }
+}
+
+body {
+  width: 100vw;
+  height: 100vh;
+  margin: 0;
+  overflow: hidden;
+  grid-template-columns: auto 1fr auto;
+  grid-template-rows: auto 1fr auto;
+  background-color: var(--bg-color);
+  color: var(--fg-color);
+  min-height: -webkit-fill-available;
+  max-height: -webkit-fill-available;
+  min-width: -webkit-fill-available;
+  max-width: -webkit-fill-available;
+  font-family: Arial, sans-serif;
+}
+
+/**
+  +------------------+------------------+------------------+
+  |                                                        |
+  |  .comfyui-body-                                        |
+  |       top                                              |
+  | (spans all cols)                                       |
+  |                                                        |
+  +------------------+------------------+------------------+
+  |                  |                  |                  |
+  | .comfyui-body-   |   #graph-canvas  | .comfyui-body-   |
+  |      left        |                  |      right       |
+  |                  |                  |                  |
+  |                  |                  |                  |
+  +------------------+------------------+------------------+
+  |                                                        |
+  |  .comfyui-body-                                        |
+  |      bottom                                            |
+  | (spans all cols)                                       |
+  |                                                        |
+  +------------------+------------------+------------------+
+*/
+
+.comfyui-body-top {
+  order: -5;
+  /* Span across all columns */
+  grid-column: 1/-1;
+  /* Position at the first row */
+  grid-row: 1;
+  z-index: 10;
+  display: flex;
+  flex-direction: column;
+}
+
+.comfyui-body-left {
+  order: -4;
+  /* Position in the first column */
+  grid-column: 1;
+  /* Position below the top element */
+  grid-row: 2;
+  z-index: 10;
+  display: flex;
+}
+
+.graph-canvas-container {
+  width: 100%;
+  height: 100%;
+  order: -3;
+  grid-column: 2;
+  grid-row: 2;
+  position: relative;
+  overflow: hidden;
+}
+
+#graph-canvas {
+  width: 100%;
+  height: 100%;
+  touch-action: none;
+}
+
+.comfyui-body-right {
+  order: -2;
+  z-index: 10;
+  grid-column: 3;
+  grid-row: 2;
+}
+
+.comfyui-body-bottom {
+  order: 4;
+  /* Span across all columns */
+  grid-column: 1/-1;
+  grid-row: 3;
+  z-index: 10;
+  display: flex;
+  flex-direction: column;
+}
+
+.comfy-multiline-input {
+  background-color: var(--comfy-input-bg);
+  color: var(--input-text);
+  overflow: hidden;
+  overflow-y: auto;
+  padding: 2px;
+  resize: none;
+  border: none;
+  box-sizing: border-box;
+  font-size: var(--comfy-textarea-font-size);
+}
+
+.comfy-modal {
+  display: none; /* Hidden by default */
+  position: fixed; /* Stay in place */
+  z-index: 100; /* Sit on top */
+  padding: 30px 30px 10px 30px;
+  background-color: var(--comfy-menu-bg); /* Modal background */
+  color: var(--error-text);
+  box-shadow: 0 0 20px #888888;
+  border-radius: 10px;
+  top: 50%;
+  left: 50%;
+  max-width: 80vw;
+  max-height: 80vh;
+  transform: translate(-50%, -50%);
+  overflow: hidden;
+  justify-content: center;
+  font-family: monospace;
+  font-size: 15px;
+}
+
+.comfy-modal-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.comfy-modal p {
+  overflow: auto;
+  white-space: pre-line; /* This will respect line breaks */
+  margin-bottom: 20px; /* Add some margin between the text and the close button*/
+}
+
+.comfy-modal select,
+.comfy-modal input[type=button],
+.comfy-modal input[type=checkbox] {
+  margin: 3px 3px 3px 4px;
+}
+
+.comfy-menu-hamburger {
+  position: fixed;
+  top: 10px;
+  z-index: 9999;
+  right: 10px;
+  width: 30px;
+  display: none;
+  gap: 8px;
+  flex-direction: column;
+  cursor: pointer;
+}
+
+.comfy-menu-hamburger div {
+  height: 3px;
+  width: 100%;
+  border-radius: 20px;
+  background-color: white;
+}
+
+.comfy-menu {
+  font-size: 15px;
+  position: absolute;
+  top: 50%;
+  right: 0;
+  text-align: center;
+  z-index: 999;
+  width: 190px;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  color: var(--descrip-text);
+  background-color: var(--comfy-menu-bg);
+  font-family: sans-serif;
+  padding: 10px;
+  border-radius: 0 8px 8px 8px;
+  box-shadow: 3px 3px 8px rgba(0, 0, 0, 0.4);
+}
+
+.comfy-menu-header {
+  display: flex;
+}
+
+.comfy-menu-actions {
+  display: flex;
+  gap: 3px;
+  align-items: center;
+  height: 20px;
+  position: relative;
+  top: -1px;
+  font-size: 22px;
+}
+
+.comfy-menu .comfy-menu-actions button {
+  background-color: rgba(0, 0, 0, 0);
+  padding: 0;
+  border: none;
+  cursor: pointer;
+  font-size: inherit;
+}
+
+.comfy-menu .comfy-menu-actions .comfy-settings-btn {
+  font-size: 0.6em;
+}
+
+button.comfy-close-menu-btn {
+  font-size: 1em;
+  line-height: 12px;
+  color: #ccc;
+  position: relative;
+  top: -1px;
+}
+
+.comfy-menu-queue-size {
+  flex: auto;
+}
+
+.comfy-menu button,
+.comfy-modal button {
+  font-size: 20px;
+}
+
+.comfy-menu-btns {
+  margin-bottom: 10px;
+  width: 100%;
+}
+
+.comfy-menu-btns button {
+  font-size: 10px;
+  width: 50%;
+  color: var(--descrip-text) !important;
+}
+
+.comfy-menu > button {
+  width: 100%;
+}
+
+.comfy-btn,
+.comfy-menu > button,
+.comfy-menu-btns button,
+.comfy-menu .comfy-list button,
+.comfy-modal button {
+  color: var(--input-text);
+  background-color: var(--comfy-input-bg);
+  border-radius: 8px;
+  border-color: var(--border-color);
+  border-style: solid;
+  margin-top: 2px;
+}
+
+.comfy-btn:hover:not(:disabled),
+.comfy-menu > button:hover,
+.comfy-menu-btns button:hover,
+.comfy-menu .comfy-list button:hover,
+.comfy-modal button:hover,
+.comfy-menu-actions button:hover {
+  filter: brightness(1.2);
+  will-change: transform;
+  cursor: pointer;
+}
+
+span.drag-handle {
+  width: 10px;
+  height: 20px;
+  display: inline-block;
+  overflow: hidden;
+  line-height: 5px;
+  padding: 3px 4px;
+  cursor: move;
+  vertical-align: middle;
+  margin-top: -.4em;
+  margin-left: -.2em;
+  font-size: 12px;
+  font-family: sans-serif;
+  letter-spacing: 2px;
+  color: var(--drag-text);
+  text-shadow: 1px 0 1px black;
+}
+
+span.drag-handle::after {
+  content: '.. .. ..';
+}
+
+.comfy-queue-btn {
+  width: 100%;
+}
+
+.comfy-list {
+  color: var(--descrip-text);
+  background-color: var(--comfy-menu-bg);
+  margin-bottom: 10px;
+  border-color: var(--border-color);
+  border-style: solid;
+}
+
+.comfy-list-items {
+  overflow-y: scroll;
+  max-height: 100px;
+  min-height: 25px;
+  background-color: var(--comfy-input-bg);
+  padding: 5px;
+}
+
+.comfy-list h4 {
+  min-width: 160px;
+  margin: 0;
+  padding: 3px;
+  font-weight: normal;
+}
+
+.comfy-list-items button {
+  font-size: 10px;
+}
+
+.comfy-list-actions {
+  margin: 5px;
+  display: flex;
+  gap: 5px;
+  justify-content: center;
+}
+
+.comfy-list-actions button {
+  font-size: 12px;
+}
+
+button.comfy-queue-btn {
+  margin: 6px 0 !important;
+}
+
+.comfy-modal.comfy-settings,
+.comfy-modal.comfy-manage-templates {
+  text-align: center;
+  font-family: sans-serif;
+  color: var(--descrip-text);
+  z-index: 99;
+}
+
+.comfy-modal.comfy-settings input[type="range"] {
+  vertical-align: middle;
+}
+
+.comfy-modal.comfy-settings input[type="range"] + input[type="number"] {
+  width: 3.5em;
+}
+
+.comfy-modal input,
+.comfy-modal select {
+  color: var(--input-text);
+  background-color: var(--comfy-input-bg);
+  border-radius: 8px;
+  border-color: var(--border-color);
+  border-style: solid;
+  font-size: inherit;
+}
+
+.comfy-tooltip-indicator {
+  text-decoration: underline;
+  text-decoration-style: dashed;
+}
+
+@media only screen and (max-height: 850px) {
+  .comfy-menu {
+    top: 0 !important;
+    bottom: 0 !important;
+    left: auto !important;
+    right: 0 !important;
+    border-radius: 0;
+  }
+
+  .comfy-menu span.drag-handle {
+    display: none;
+  }
+  
+  .comfy-menu-queue-size {
+    flex: unset;
+  }
+
+  .comfy-menu-header {
+    justify-content: space-between;
+  }
+  .comfy-menu-actions {
+    gap: 10px;
+    font-size: 28px;
+  }
+}
+
+/* Input popup */
+
+.graphdialog {
+  min-height: 1em;
+  background-color: var(--comfy-menu-bg);
+}
+
+.graphdialog .name {
+  font-size: 14px;
+  font-family: sans-serif;
+  color: var(--descrip-text);
+}
+
+.graphdialog button {
+  margin-top: unset;
+  vertical-align: unset;
+  height: 1.6em;
+  padding-right: 8px;
+}
+
+.graphdialog input, .graphdialog textarea, .graphdialog select {
+  background-color: var(--comfy-input-bg);
+  border: 2px solid;
+  border-color: var(--border-color);
+  color: var(--input-text);
+  border-radius: 12px 0 0 12px;
+}
+
+/* Dialogs */
+
+dialog {
+  box-shadow: 0 0 20px #888888;
+}
+
+dialog::backdrop {
+  background: rgba(0, 0, 0, 0.5);
+}
+
+.comfy-dialog.comfyui-dialog.comfy-modal {
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  transform: none;
+}
+
+.comfy-dialog.comfy-modal {
+  font-family: Arial, sans-serif;
+  border-color: var(--bg-color);
+  box-shadow: none;
+  border: 2px solid var(--border-color);
+}
+
+.comfy-dialog .comfy-modal-content {
+  flex-direction: row;
+  flex-wrap: wrap;
+  gap: 10px;
+  color: var(--fg-color);
+}
+
+.comfy-dialog .comfy-modal-content h3 {
+  margin-top: 0;
+}
+
+.comfy-dialog .comfy-modal-content > p {
+  width: 100%;
+}
+
+.comfy-dialog .comfy-modal-content > .comfyui-button {
+  flex: 1;
+  justify-content: center;
+}
+
+#comfy-settings-dialog {
+  padding: 0;
+  width: 41rem;
+}
+
+#comfy-settings-dialog tr > td:first-child {
+  text-align: right;
+}
+
+#comfy-settings-dialog tbody button, #comfy-settings-dialog table > button {
+  background-color: var(--bg-color);
+  border: 1px var(--border-color) solid;
+  border-radius: 0;
+  color: var(--input-text);
+  font-size: 1rem;
+  padding: 0.5rem;
+}
+
+#comfy-settings-dialog button:hover {
+  background-color: var(--tr-odd-bg-color);
+}
+
+/* General CSS for tables */
+
+.comfy-table {
+  border-collapse: collapse;
+  color: var(--input-text);
+  font-family: Arial, sans-serif;
+  width: 100%;
+}
+
+.comfy-table caption {
+  position: sticky;
+  top: 0;
+  background-color: var(--bg-color);
+  color: var(--input-text);
+  font-size: 1rem;
+  font-weight: bold;
+  padding: 8px;
+  text-align: center;
+  border-bottom: 1px solid var(--border-color);
+}
+
+.comfy-table caption .comfy-btn {
+  position: absolute;
+  top: -2px;
+  right: 0;
+  bottom: 0;
+  cursor: pointer;
+  border: none;
+  height: 100%;
+  border-radius: 0;
+  aspect-ratio: 1/1;
+  -webkit-user-select: none;
+     -moz-user-select: none;
+          user-select: none;
+  font-size: 20px;
+}
+
+.comfy-table caption .comfy-btn:focus {
+  outline: none;
+}
+
+.comfy-table tr:nth-child(even) {
+  background-color: var(--tr-even-bg-color);
+}
+
+.comfy-table tr:nth-child(odd) {
+  background-color: var(--tr-odd-bg-color);
+}
+
+.comfy-table td,
+.comfy-table th {
+  border: 1px solid var(--border-color);
+  padding: 8px;
+}
+
+/* Context menu */
+
+.litegraph .dialog {
+  z-index: 1;
+  font-family: Arial, sans-serif;
+}
+
+.litegraph .litemenu-entry.has_submenu {
+  position: relative;
+  padding-right: 20px;
+}
+
+.litemenu-entry.has_submenu::after {
+  content: ">";
+  position: absolute;
+  top: 0;
+  right: 2px;
+}
+
+.litegraph.litecontextmenu,
+.litegraph.litecontextmenu.dark {
+  z-index: 9999 !important;
+  background-color: var(--comfy-menu-bg) !important;
+  filter: brightness(95%);
+  will-change: transform;
+}
+
+.litegraph.litecontextmenu .litemenu-entry:hover:not(.disabled):not(.separator) {
+  background-color: var(--comfy-menu-bg) !important;
+  filter: brightness(155%);
+  will-change: transform;
+  color: var(--input-text);
+}
+
+.litegraph.litecontextmenu .litemenu-entry.submenu,
+.litegraph.litecontextmenu.dark .litemenu-entry.submenu {
+  background-color: var(--comfy-menu-bg) !important;
+  color: var(--input-text);
+}
+
+.litegraph.litecontextmenu input {
+  background-color: var(--comfy-input-bg) !important;
+  color: var(--input-text) !important;
+}
+
+.comfy-context-menu-filter {
+  box-sizing: border-box;
+  border: 1px solid #999;
+  margin: 0 0 5px 5px;
+  width: calc(100% - 10px);
+}
+
+.comfy-img-preview {
+  pointer-events: none;
+  overflow: hidden;
+  display: flex;
+  flex-wrap: wrap;
+  align-content: flex-start;
+  justify-content: center;
+}
+
+.comfy-img-preview img {
+  -o-object-fit: contain;
+     object-fit: contain;
+  width: var(--comfy-img-preview-width);
+  height: var(--comfy-img-preview-height);
+}
+
+.comfy-missing-nodes li button {
+  font-size: 12px;
+  margin-left: 5px;
+}
+
+/* Search box */
+
+.litegraph.litesearchbox {
+  z-index: 9999 !important;
+  background-color: var(--comfy-menu-bg) !important;
+  overflow: hidden;
+  display: block;
+}
+
+.litegraph.litesearchbox input,
+.litegraph.litesearchbox select {
+  background-color: var(--comfy-input-bg) !important;
+  color: var(--input-text);
+}
+
+.litegraph.lite-search-item {
+  color: var(--input-text);
+  background-color: var(--comfy-input-bg);
+  filter: brightness(80%);
+  will-change: transform;
+  padding-left: 0.2em;
+}
+
+.litegraph.lite-search-item.generic_type {
+  color: var(--input-text);
+  filter: brightness(50%);
+  will-change: transform;
+}
+
+@media only screen and (max-width: 450px) {
+  #comfy-settings-dialog .comfy-table tbody {
+    display: grid;
+  }
+  #comfy-settings-dialog .comfy-table tr {
+    display: grid;
+  }
+  #comfy-settings-dialog tr > td:first-child {
+    text-align: center;
+    border-bottom: none;
+    padding-bottom: 0;
+  }
+  #comfy-settings-dialog tr > td:not(:first-child) {
+    text-align: center;
+    border-top: none;
+  }
+}
+
+audio.comfy-audio.empty-audio-widget {
+  display: none;
+}
+
+#vue-app {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  pointer-events: none;
+}
+
+/* Set auto complete panel's width as it is not accessible within vue-root */
+.p-autocomplete-overlay {
+  max-width: 25vw;
+}
+
+.editable-text[data-v-8ac76bc5] {
+  display: inline-block;
+}
+.editable-text input[data-v-8ac76bc5] {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.node-title-editor[data-v-77799b26] {
+  z-index: 9999;
+  padding: 0.25rem;
+}
+[data-v-77799b26] .editable-text {
+  width: 100%;
+  height: 100%;
+}
+[data-v-77799b26] .editable-text input {
+  width: 100%;
+  height: 100%;
+}
+
+.side-bar-button-icon {
+  font-size: var(--sidebar-icon-size) !important;
+}
+.side-bar-button-selected .side-bar-button-icon {
+  font-size: var(--sidebar-icon-size) !important;
+  font-weight: bold;
+}
+
+.side-bar-button[data-v-4f2f01b3] {
+  width: var(--sidebar-width);
+  height: var(--sidebar-width);
+  border-radius: 0;
+}
+.comfyui-body-left .side-bar-button.side-bar-button-selected[data-v-4f2f01b3],
+.comfyui-body-left .side-bar-button.side-bar-button-selected[data-v-4f2f01b3]:hover {
+  border-left: 4px solid var(--p-button-text-primary-color);
+}
+.comfyui-body-right .side-bar-button.side-bar-button-selected[data-v-4f2f01b3],
+.comfyui-body-right .side-bar-button.side-bar-button-selected[data-v-4f2f01b3]:hover {
+  border-right: 4px solid var(--p-button-text-primary-color);
+}
+
+:root {
+  --sidebar-width: 64px;
+  --sidebar-icon-size: 1.5rem;
+}
+:root .small-sidebar {
+  --sidebar-width: 40px;
+  --sidebar-icon-size: 1rem;
+}
+
+.side-tool-bar-container[data-v-ed7a1148] {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+
+  pointer-events: auto;
+
+  width: var(--sidebar-width);
+  height: 100%;
+
+  background-color: var(--comfy-menu-bg);
+  color: var(--fg-color);
+}
+.side-tool-bar-end[data-v-ed7a1148] {
+  align-self: flex-end;
+  margin-top: auto;
+}
+.sidebar-content-container[data-v-ed7a1148] {
+  height: 100%;
+  overflow-y: auto;
+}
+
+.p-splitter-gutter {
+  pointer-events: auto;
+}
+.gutter-hidden {
+  display: none !important;
+}
+
+.side-bar-panel[data-v-edca8328] {
+  background-color: var(--bg-color);
+  pointer-events: auto;
+}
+.splitter-overlay[data-v-edca8328] {
+  width: 100%;
+  height: 100%;
+  position: absolute;
+  top: 0;
+  left: 0;
+  background-color: transparent;
+  pointer-events: none;
+  /* Set it the same as the ComfyUI menu */
+  /* Note: Lite-graph DOM widgets have the same z-index as the node id, so
+  999 should be sufficient to make sure splitter overlays on node's DOM
+  widgets */
+  z-index: 999;
+  border: none;
+}
+
+._content[data-v-def4f809] {
+
+    display: flex;
+
+    flex-direction: column
+}
+._content[data-v-def4f809] > :not([hidden]) ~ :not([hidden]) {
+
+    --tw-space-y-reverse: 0;
+
+    margin-top: calc(0.5rem * calc(1 - var(--tw-space-y-reverse)));
+
+    margin-bottom: calc(0.5rem * var(--tw-space-y-reverse))
+}
+._footer[data-v-def4f809] {
+
+    display: flex;
+
+    flex-direction: column;
+
+    align-items: flex-end;
+
+    padding-top: 1rem
+}
+
+.comfy-core[data-v-b0730aa8],
+.comfy-custom-nodes[data-v-b0730aa8],
+.comfy-unknown[data-v-b0730aa8] {
+  font-size: small;
+  font-weight: lighter;
+}
+
+.slot_row[data-v-cbec679a] {
+  padding: 2px;
+}
+
+/* Original N-Sidebar styles */
+._sb_dot[data-v-cbec679a] {
+  width: 8px;
+  height: 8px;
+  border-radius: 50%;
+  background-color: grey;
+}
+.node_header[data-v-cbec679a] {
+  line-height: 1;
+  padding: 8px 13px 7px;
+  background: var(--comfy-input-bg);
+  margin-bottom: 5px;
+  font-size: 15px;
+  text-wrap: nowrap;
+  overflow: hidden;
+  display: flex;
+  align-items: center;
+}
+.headdot[data-v-cbec679a] {
+  width: 10px;
+  height: 10px;
+  float: inline-start;
+  margin-right: 8px;
+}
+.IMAGE[data-v-cbec679a] {
+  background-color: #64b5f6;
+}
+.VAE[data-v-cbec679a] {
+  background-color: #ff6e6e;
+}
+.LATENT[data-v-cbec679a] {
+  background-color: #ff9cf9;
+}
+.MASK[data-v-cbec679a] {
+  background-color: #81c784;
+}
+.CONDITIONING[data-v-cbec679a] {
+  background-color: #ffa931;
+}
+.CLIP[data-v-cbec679a] {
+  background-color: #ffd500;
+}
+.MODEL[data-v-cbec679a] {
+  background-color: #b39ddb;
+}
+.CONTROL_NET[data-v-cbec679a] {
+  background-color: #a5d6a7;
+}
+._sb_node_preview[data-v-cbec679a] {
+  background-color: var(--comfy-menu-bg);
+  font-family: 'Open Sans', sans-serif;
+  font-size: small;
+  color: var(--descrip-text);
+  border: 1px solid var(--descrip-text);
+  min-width: 300px;
+  width: -moz-min-content;
+  width: min-content;
+  height: -moz-fit-content;
+  height: fit-content;
+  z-index: 9999;
+  border-radius: 12px;
+  overflow: hidden;
+  font-size: 12px;
+  padding-bottom: 10px;
+}
+._sb_node_preview ._sb_description[data-v-cbec679a] {
+  margin: 10px;
+  padding: 6px;
+  background: var(--border-color);
+  border-radius: 5px;
+  font-style: italic;
+  font-weight: 500;
+  font-size: 0.9rem;
+  word-break: break-word;
+}
+._sb_table[data-v-cbec679a] {
+  display: grid;
+
+  grid-column-gap: 10px;
+  /* Spazio tra le colonne */
+  width: 100%;
+  /* Imposta la larghezza della tabella al 100% del contenitore */
+}
+._sb_row[data-v-cbec679a] {
+  display: grid;
+  grid-template-columns: 10px 1fr 1fr 1fr 10px;
+  grid-column-gap: 10px;
+  align-items: center;
+  padding-left: 9px;
+  padding-right: 9px;
+}
+._sb_row_string[data-v-cbec679a] {
+  grid-template-columns: 10px 1fr 1fr 10fr 1fr;
+}
+._sb_col[data-v-cbec679a] {
+  border: 0px solid #000;
+  display: flex;
+  align-items: flex-end;
+  flex-direction: row-reverse;
+  flex-wrap: nowrap;
+  align-content: flex-start;
+  justify-content: flex-end;
+}
+._sb_inherit[data-v-cbec679a] {
+  display: inherit;
+}
+._long_field[data-v-cbec679a] {
+  background: var(--bg-color);
+  border: 2px solid var(--border-color);
+  margin: 5px 5px 0 5px;
+  border-radius: 10px;
+  line-height: 1.7;
+  text-wrap: nowrap;
+}
+._sb_arrow[data-v-cbec679a] {
+  color: var(--fg-color);
+}
+._sb_preview_badge[data-v-cbec679a] {
+  text-align: center;
+  background: var(--comfy-input-bg);
+  font-weight: bold;
+  color: var(--error-text);
+}
+
+.comfy-vue-node-search-container[data-v-077af1a9] {
+  display: flex;
+  width: 100%;
+  min-width: 24rem;
+  align-items: center;
+  justify-content: center;
+}
+.comfy-vue-node-search-container[data-v-077af1a9] * {
+  pointer-events: auto;
+}
+.comfy-vue-node-preview-container[data-v-077af1a9] {
+  position: absolute;
+  left: -350px;
+  top: 50px;
+}
+.comfy-vue-node-search-box[data-v-077af1a9] {
+  z-index: 10;
+  flex-grow: 1;
+}
+.option-container[data-v-077af1a9] {
+  display: flex;
+  width: 100%;
+  cursor: pointer;
+  align-items: center;
+  justify-content: space-between;
+  overflow: hidden;
+  padding-left: 0.5rem;
+  padding-right: 0.5rem;
+  padding-top: 0px;
+  padding-bottom: 0px;
+}
+.option-display-name[data-v-077af1a9] {
+  display: flex;
+  flex-direction: column;
+  font-weight: 600;
+}
+.option-category[data-v-077af1a9] {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  font-size: 0.875rem;
+  line-height: 1.25rem;
+  font-weight: 300;
+  --tw-text-opacity: 1;
+  color: rgb(156 163 175 / var(--tw-text-opacity));
+  /* Keeps the text on a single line by default */
+  white-space: nowrap;
+}
+[data-v-077af1a9] .highlight {
+  background-color: var(--p-primary-color);
+  color: var(--p-primary-contrast-color);
+  font-weight: bold;
+  border-radius: 0.25rem;
+  padding: 0rem 0.125rem;
+  margin: -0.125rem 0.125rem;
+}
+._filter-button[data-v-077af1a9] {
+  z-index: 10;
+}
+._dialog[data-v-077af1a9] {
+  min-width: 24rem;
+}
+
+.invisible-dialog-root {
+  width: 30%;
+  min-width: 24rem;
+  max-width: 48rem;
+  border: 0 !important;
+  background-color: transparent !important;
+  margin-top: 25vh;
+}
+.node-search-box-dialog-mask {
+  align-items: flex-start !important;
+}
+
+.node-tooltip[data-v-e0597bf9] {
+  background: var(--comfy-input-bg);
+  border-radius: 5px;
+  box-shadow: 0 0 5px rgba(0, 0, 0, 0.4);
+  color: var(--input-text);
+  font-family: sans-serif;
+  left: 0;
+  max-width: 30vw;
+  padding: 4px 8px;
+  position: absolute;
+  top: 0;
+  transform: translate(5px, calc(-100% - 5px));
+  white-space: pre-wrap;
+  z-index: 99999;
+}
+
+.comfy-image-wrap[data-v-9bc23daf] {
+  display: contents;
+}
+.comfy-image-blur[data-v-9bc23daf] {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  -o-object-fit: cover;
+     object-fit: cover;
+}
+.comfy-image-main[data-v-9bc23daf] {
+  width: 100%;
+  height: 100%;
+  -o-object-fit: cover;
+     object-fit: cover;
+  -o-object-position: center;
+     object-position: center;
+  z-index: 1;
+}
+.contain .comfy-image-wrap[data-v-9bc23daf] {
+  position: relative;
+  width: 100%;
+  height: 100%;
+}
+.contain .comfy-image-main[data-v-9bc23daf] {
+  -o-object-fit: contain;
+     object-fit: contain;
+  -webkit-backdrop-filter: blur(10px);
+          backdrop-filter: blur(10px);
+  position: absolute;
+}
+.broken-image-placeholder[data-v-9bc23daf] {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  width: 100%;
+  height: 100%;
+  margin: 2rem;
+}
+.broken-image-placeholder i[data-v-9bc23daf] {
+  font-size: 3rem;
+  margin-bottom: 0.5rem;
+}
+
+.result-container[data-v-d9c060ae] {
+  width: 100%;
+  height: 100%;
+  aspect-ratio: 1 / 1;
+  overflow: hidden;
+  position: relative;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+}
+.image-preview-mask[data-v-d9c060ae] {
+  position: absolute;
+  left: 50%;
+  top: 50%;
+  transform: translate(-50%, -50%);
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  opacity: 0;
+  transition: opacity 0.3s ease;
+  z-index: 1;
+}
+.result-container:hover .image-preview-mask[data-v-d9c060ae] {
+  opacity: 1;
+}
+
+.task-result-preview[data-v-11ef4cfe] {
+  aspect-ratio: 1 / 1;
+  overflow: hidden;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  width: 100%;
+  height: 100%;
+}
+.task-result-preview i[data-v-11ef4cfe],
+.task-result-preview span[data-v-11ef4cfe] {
+  font-size: 2rem;
+}
+.task-item[data-v-11ef4cfe] {
+  display: flex;
+  flex-direction: column;
+  border-radius: 4px;
+  overflow: hidden;
+  position: relative;
+}
+.task-item-details[data-v-11ef4cfe] {
+  position: absolute;
+  bottom: 0;
+  padding: 0.6rem;
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  width: 100%;
+  z-index: 1;
+}
+.task-node-link[data-v-11ef4cfe] {
+  padding: 2px;
+}
+
+/* In dark mode, transparent background color for tags is not ideal for tags that
+are floating on top of images. */
+.tag-wrapper[data-v-11ef4cfe] {
+  background-color: var(--p-primary-contrast-color);
+  border-radius: 6px;
+  display: inline-flex;
+}
+.node-name-tag[data-v-11ef4cfe] {
+  word-break: break-all;
+}
+.status-tag-group[data-v-11ef4cfe] {
+  display: flex;
+  flex-direction: column;
+}
+
+/* PrimeVue's galleria teleports the fullscreen gallery out of subtree so we
+cannot use scoped style here. */
+img.galleria-image {
+  max-width: 100vw;
+  max-height: 100vh;
+  -o-object-fit: contain;
+     object-fit: contain;
+}
+.p-galleria-close-button {
+  /* Set z-index so the close button doesn't get hidden behind the image when image is large */
+  z-index: 1;
+}
+
+.comfy-vue-side-bar-container[data-v-1b0a8fe3] {
+  display: flex;
+  flex-direction: column;
+  height: 100%;
+  overflow: hidden;
+}
+.comfy-vue-side-bar-header[data-v-1b0a8fe3] {
+  flex-shrink: 0;
+  border-left: none;
+  border-right: none;
+  border-top: none;
+  border-radius: 0;
+  padding: 0.25rem 1rem;
+  min-height: 2.5rem;
+}
+.comfy-vue-side-bar-header-span[data-v-1b0a8fe3] {
+  font-size: small;
+}
+.comfy-vue-side-bar-body[data-v-1b0a8fe3] {
+  flex-grow: 1;
+  overflow: auto;
+  scrollbar-width: thin;
+  scrollbar-color: transparent transparent;
+}
+.comfy-vue-side-bar-body[data-v-1b0a8fe3]::-webkit-scrollbar {
+  width: 1px;
+}
+.comfy-vue-side-bar-body[data-v-1b0a8fe3]::-webkit-scrollbar-thumb {
+  background-color: transparent;
+}
+
+.scroll-container[data-v-3cc33869] {
+  height: 100%;
+  overflow-y: auto;
+}
+.queue-grid[data-v-3cc33869] {
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
+  padding: 0.5rem;
+  gap: 0.5rem;
+}
+
+.node-tree-leaf[data-v-adf5f221] {
+  width: 100%;
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+}
+.node-content[data-v-adf5f221] {
+  display: flex;
+  align-items: center;
+  flex-grow: 1;
+}
+.node-label[data-v-adf5f221] {
+  margin-left: 0.5rem;
+}
+.bookmark-button[data-v-adf5f221] {
+  width: unset;
+  padding: 0.25rem;
+}
+
+.node-tree-folder[data-v-f2d72e9b] {
+  display: flex;
+  align-items: center;
+}
+
+.p-selectbutton .p-button[data-v-91077f2a] {
+  padding: 0.5rem;
+}
+.p-selectbutton .p-button .pi[data-v-91077f2a] {
+  font-size: 1.5rem;
+}
+.field[data-v-91077f2a] {
+  display: flex;
+  flex-direction: column;
+  gap: 0.5rem;
+}
+.color-picker-container[data-v-91077f2a] {
+  display: flex;
+  align-items: center;
+  gap: 0.5rem;
+}
+
+.node-lib-tree-node-label {
+  display: flex;
+  align-items: center;
+  margin-left: var(--p-tree-node-gap);
+  flex-grow: 1;
+}
+.node-lib-filter-popup {
+  margin-left: -13px;
+}
+
+[data-v-87967891] .node-lib-search-box {
+  margin-left: 1rem;
+  margin-right: 1rem;
+  margin-top: 1rem;
+}
+[data-v-87967891] .comfy-vue-side-bar-body {
+  background: var(--p-tree-background);
+}
+
+/*
+ * The following styles are necessary to avoid layout shift when dragging nodes over folders.
+ * By setting the position to relative on the parent and using an absolutely positioned pseudo-element,
+ * we can create a visual indicator for the drop target without affecting the layout of other elements.
+ */
+[data-v-87967891] .p-tree-node-content:has(.node-tree-folder) {
+  position: relative;
+}
+[data-v-87967891] .p-tree-node-content:has(.node-tree-folder.can-drop)::after {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  border: 1px solid var(--p-content-color);
+  pointer-events: none;
+}
+
+.spinner[data-v-8616e7a1] {
+    position: absolute;
+    inset: 0px;
+    display: flex;
+    height: 100vh;
+    align-items: center;
+    justify-content: center
+}
diff --git a/ComfyUI/web/assets/primeicons-C6QP2o4f.woff2 b/ComfyUI/web/assets/primeicons-C6QP2o4f.woff2
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diff --git a/ComfyUI/web/assets/primeicons-DMOk5skT.eot b/ComfyUI/web/assets/primeicons-DMOk5skT.eot
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new file mode 100644
index 0000000000000000000000000000000000000000..fde255ee32f315a68b356cf34b9c8cc8beb6feb1
--- /dev/null
+++ b/ComfyUI/web/assets/primeicons-Dr5RGzOO.svg
@@ -0,0 +1,345 @@
+<?xml version="1.0" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
+<svg xmlns="http://www.w3.org/2000/svg">
+<metadata>
+<json>
+<![CDATA[
+{
+	"fontFamily": "primeicons",
+	"majorVersion": 1,
+	"minorVersion": 0,
+	"copyright": "PrimeTek Informatics",
+	"designer": "",
+	"description": "Icon Library for Prime UI Libraries\nFont generated by IcoMoon.",
+	"fontURL": "https://github.com/primefaces/primeicons",
+	"license": "MIT",
+	"licenseURL": "https://opensource.org/licenses/MIT",
+	"version": "Version 1.0",
+	"fontId": "primeicons",
+	"psName": "primeicons",
+	"subFamily": "Regular",
+	"fullName": "primeicons"
+}
+]]>
+</json>
+</metadata>
+<defs>
+<font id="primeicons" horiz-adv-x="1024">
+<font-face units-per-em="1024" ascent="960" descent="-64" />
+<missing-glyph horiz-adv-x="1024" />
+<glyph unicode="&#x20;" horiz-adv-x="512" d="" />
+<glyph unicode="&#xe900;" glyph-name="chevron-left" data-tags="chevron-left" d="M679.213-32.738c-0.086 0-0.19 0-0.292 0-17.22 0-32.796 7.035-44.013 18.388l-418.039 418.039c-11.33 11.344-18.339 27.010-18.339 44.311s7.007 32.967 18.339 44.313v0l418.033 418.033c11.167 10.427 26.211 16.828 42.747 16.828 34.631 0 62.705-28.074 62.705-62.705 0-16.538-6.402-31.58-16.864-42.785l0.034 0.037-373.722-373.722 373.722-373.722c11.33-11.344 18.339-27.010 18.339-44.311s-7.007-32.967-18.339-44.313v0c-11.222-11.36-26.798-18.394-44.019-18.394-0.102 0-0.205 0-0.307 0h0.016z" />
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diff --git a/ComfyUI/web/assets/primeicons-MpK4pl85.ttf b/ComfyUI/web/assets/primeicons-MpK4pl85.ttf
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diff --git a/ComfyUI/web/assets/primeicons-WjwUDZjB.woff b/ComfyUI/web/assets/primeicons-WjwUDZjB.woff
new file mode 100644
index 0000000000000000000000000000000000000000..62c47a2a1bef82a55516f6a16474c75d07267498
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diff --git a/ComfyUI/web/assets/userSelection-BGzn1LuN.css b/ComfyUI/web/assets/userSelection-BGzn1LuN.css
new file mode 100644
index 0000000000000000000000000000000000000000..61c4ddb02b1ed1c0dbbebb79ea350432727c1f46
--- /dev/null
+++ b/ComfyUI/web/assets/userSelection-BGzn1LuN.css
@@ -0,0 +1,136 @@
+.comfy-user-selection {
+    width: 100vw;
+    height: 100vh;
+    position: absolute;
+    top: 0;
+    left: 0;
+    z-index: 999;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-family: sans-serif;
+    background: linear-gradient(var(--tr-even-bg-color), var(--tr-odd-bg-color));
+}
+
+.comfy-user-selection-inner {
+    background: var(--comfy-menu-bg);
+    margin-top: -30vh;
+    padding: 20px 40px;
+    border-radius: 10px;
+    min-width: 365px;
+    position: relative;
+    box-shadow: 0 0 20px rgba(0, 0, 0, 0.3);
+}
+
+.comfy-user-selection-inner form {
+    width: 100%;
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+}
+
+.comfy-user-selection-inner h1 {
+    margin: 10px 0 30px 0;
+    font-weight: normal;
+}
+
+.comfy-user-selection-inner label {
+    display: flex;
+    flex-direction: column;
+    width: 100%;
+}
+
+.comfy-user-selection input,
+.comfy-user-selection select {
+    background-color: var(--comfy-input-bg);
+    color: var(--input-text);
+    border: 0;
+    border-radius: 5px;
+    padding: 5px;
+    margin-top: 10px;
+}
+
+.comfy-user-selection input::-moz-placeholder {
+    color: var(--descrip-text);
+    opacity: 1;
+}
+
+.comfy-user-selection input::placeholder {
+    color: var(--descrip-text);
+    opacity: 1;
+}
+
+.comfy-user-existing {
+    width: 100%;
+}
+
+.no-users .comfy-user-existing {
+    display: none;
+}
+
+.comfy-user-selection-inner .or-separator {
+    margin: 10px 0;
+    padding: 10px;
+    display: block;
+    width: 100%;
+    color: var(--descrip-text);
+    overflow: hidden;
+    text-align: center;
+    margin-left: -10px;
+}
+
+.comfy-user-selection-inner .or-separator::before,
+.comfy-user-selection-inner .or-separator::after {
+    content: "";
+    background-color: var(--border-color);
+    position: relative;
+    height: 1px;
+    vertical-align: middle;
+    display: inline-block;
+    width: calc(50% - 20px);
+    top: -1px;
+}
+
+.comfy-user-selection-inner .or-separator::before {
+    right: 10px;
+    margin-left: -50%;
+}
+
+.comfy-user-selection-inner .or-separator::after {
+    left: 10px;
+    margin-right: -50%;
+}
+
+.comfy-user-selection-inner section {
+    width: 100%;
+    padding: 10px;
+    margin: -10px;
+    transition: background-color 0.2s;
+}
+
+.comfy-user-selection-inner section.selected {
+    background: var(--border-color);
+    border-radius: 5px;
+}
+
+.comfy-user-selection-inner footer {
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    margin-top: 20px;
+}
+
+.comfy-user-selection-inner .comfy-user-error {
+    color: var(--error-text);
+    margin-bottom: 10px;
+}
+
+.comfy-user-button-next {
+    font-size: 16px;
+    padding: 6px 10px;
+    width: 100px;
+    display: flex;
+    gap: 5px;
+    align-items: center;
+    justify-content: center;
+}
\ No newline at end of file
diff --git a/ComfyUI/web/assets/userSelection-CyXKCVy3.js b/ComfyUI/web/assets/userSelection-CyXKCVy3.js
new file mode 100644
index 0000000000000000000000000000000000000000..fee3eed019a9cddc6a381395de6fbc9a1bb89842
--- /dev/null
+++ b/ComfyUI/web/assets/userSelection-CyXKCVy3.js
@@ -0,0 +1,120 @@
+var __defProp = Object.defineProperty;
+var __name = (target, value) => __defProp(target, "name", { value, configurable: true });
+import { j as createSpinner, h as api, $ as $el } from "./index-CI3N807S.js";
+class UserSelectionScreen {
+  static {
+    __name(this, "UserSelectionScreen");
+  }
+  async show(users, user) {
+    const userSelection = document.getElementById("comfy-user-selection");
+    userSelection.style.display = "";
+    return new Promise((resolve) => {
+      const input = userSelection.getElementsByTagName("input")[0];
+      const select = userSelection.getElementsByTagName("select")[0];
+      const inputSection = input.closest("section");
+      const selectSection = select.closest("section");
+      const form = userSelection.getElementsByTagName("form")[0];
+      const error = userSelection.getElementsByClassName("comfy-user-error")[0];
+      const button = userSelection.getElementsByClassName(
+        "comfy-user-button-next"
+      )[0];
+      let inputActive = null;
+      input.addEventListener("focus", () => {
+        inputSection.classList.add("selected");
+        selectSection.classList.remove("selected");
+        inputActive = true;
+      });
+      select.addEventListener("focus", () => {
+        inputSection.classList.remove("selected");
+        selectSection.classList.add("selected");
+        inputActive = false;
+        select.style.color = "";
+      });
+      select.addEventListener("blur", () => {
+        if (!select.value) {
+          select.style.color = "var(--descrip-text)";
+        }
+      });
+      form.addEventListener("submit", async (e) => {
+        e.preventDefault();
+        if (inputActive == null) {
+          error.textContent = "Please enter a username or select an existing user.";
+        } else if (inputActive) {
+          const username = input.value.trim();
+          if (!username) {
+            error.textContent = "Please enter a username.";
+            return;
+          }
+          input.disabled = select.disabled = // @ts-expect-error
+          input.readonly = // @ts-expect-error
+          select.readonly = true;
+          const spinner = createSpinner();
+          button.prepend(spinner);
+          try {
+            const resp = await api.createUser(username);
+            if (resp.status >= 300) {
+              let message = "Error creating user: " + resp.status + " " + resp.statusText;
+              try {
+                const res = await resp.json();
+                if (res.error) {
+                  message = res.error;
+                }
+              } catch (error2) {
+              }
+              throw new Error(message);
+            }
+            resolve({ username, userId: await resp.json(), created: true });
+          } catch (err) {
+            spinner.remove();
+            error.textContent = err.message ?? err.statusText ?? err ?? "An unknown error occurred.";
+            input.disabled = select.disabled = // @ts-expect-error
+            input.readonly = // @ts-expect-error
+            select.readonly = false;
+            return;
+          }
+        } else if (!select.value) {
+          error.textContent = "Please select an existing user.";
+          return;
+        } else {
+          resolve({
+            username: users[select.value],
+            userId: select.value,
+            created: false
+          });
+        }
+      });
+      if (user) {
+        const name = localStorage["Comfy.userName"];
+        if (name) {
+          input.value = name;
+        }
+      }
+      if (input.value) {
+        input.focus();
+      }
+      const userIds = Object.keys(users ?? {});
+      if (userIds.length) {
+        for (const u of userIds) {
+          $el("option", { textContent: users[u], value: u, parent: select });
+        }
+        select.style.color = "var(--descrip-text)";
+        if (select.value) {
+          select.focus();
+        }
+      } else {
+        userSelection.classList.add("no-users");
+        input.focus();
+      }
+    }).then((r) => {
+      userSelection.remove();
+      return r;
+    });
+  }
+}
+window.comfyAPI = window.comfyAPI || {};
+window.comfyAPI.userSelection = window.comfyAPI.userSelection || {};
+window.comfyAPI.userSelection.UserSelectionScreen = UserSelectionScreen;
+export {
+  UserSelectionScreen
+};
+//# sourceMappingURL=userSelection-CyXKCVy3.js.map
diff --git a/ComfyUI/web/assets/userSelection-CyXKCVy3.js.map b/ComfyUI/web/assets/userSelection-CyXKCVy3.js.map
new file mode 100644
index 0000000000000000000000000000000000000000..743287e2b5d1eef54a06231d904077fb5b61812d
--- /dev/null
+++ b/ComfyUI/web/assets/userSelection-CyXKCVy3.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"userSelection-CyXKCVy3.js","sources":["../../src/scripts/ui/userSelection.ts"],"sourcesContent":["import { api } from '../api'\nimport { $el } from '../ui'\nimport { createSpinner } from './spinner'\nimport './userSelection.css'\n\ninterface SelectedUser {\n  username: string\n  userId: string\n  created: boolean\n}\n\nexport class UserSelectionScreen {\n  async show(users, user): Promise<SelectedUser> {\n    const userSelection = document.getElementById('comfy-user-selection')\n    userSelection.style.display = ''\n    return new Promise((resolve) => {\n      const input = userSelection.getElementsByTagName('input')[0]\n      const select = userSelection.getElementsByTagName('select')[0]\n      const inputSection = input.closest('section')\n      const selectSection = select.closest('section')\n      const form = userSelection.getElementsByTagName('form')[0]\n      const error = userSelection.getElementsByClassName('comfy-user-error')[0]\n      const button = userSelection.getElementsByClassName(\n        'comfy-user-button-next'\n      )[0]\n\n      let inputActive = null\n      input.addEventListener('focus', () => {\n        inputSection.classList.add('selected')\n        selectSection.classList.remove('selected')\n        inputActive = true\n      })\n      select.addEventListener('focus', () => {\n        inputSection.classList.remove('selected')\n        selectSection.classList.add('selected')\n        inputActive = false\n        select.style.color = ''\n      })\n      select.addEventListener('blur', () => {\n        if (!select.value) {\n          select.style.color = 'var(--descrip-text)'\n        }\n      })\n\n      form.addEventListener('submit', async (e) => {\n        e.preventDefault()\n        if (inputActive == null) {\n          error.textContent =\n            'Please enter a username or select an existing user.'\n        } else if (inputActive) {\n          const username = input.value.trim()\n          if (!username) {\n            error.textContent = 'Please enter a username.'\n            return\n          }\n\n          // Create new user\n          // Property 'readonly' does not exist on type 'HTMLSelectElement'.ts(2339)\n          // Property 'readonly' does not exist on type 'HTMLInputElement'. Did you mean 'readOnly'?ts(2551)\n          input.disabled =\n            select.disabled =\n            // @ts-expect-error\n            input.readonly =\n            // @ts-expect-error\n            select.readonly =\n              true\n          const spinner = createSpinner()\n          button.prepend(spinner)\n          try {\n            const resp = await api.createUser(username)\n            if (resp.status >= 300) {\n              let message =\n                'Error creating user: ' + resp.status + ' ' + resp.statusText\n              try {\n                const res = await resp.json()\n                if (res.error) {\n                  message = res.error\n                }\n              } catch (error) {}\n              throw new Error(message)\n            }\n\n            resolve({ username, userId: await resp.json(), created: true })\n          } catch (err) {\n            spinner.remove()\n            error.textContent =\n              err.message ??\n              err.statusText ??\n              err ??\n              'An unknown error occurred.'\n            // Property 'readonly' does not exist on type 'HTMLSelectElement'.ts(2339)\n            // Property 'readonly' does not exist on type 'HTMLInputElement'. Did you mean 'readOnly'?ts(2551)\n            input.disabled =\n              select.disabled =\n              // @ts-expect-error\n              input.readonly =\n              // @ts-expect-error\n              select.readonly =\n                false\n            return\n          }\n        } else if (!select.value) {\n          error.textContent = 'Please select an existing user.'\n          return\n        } else {\n          resolve({\n            username: users[select.value],\n            userId: select.value,\n            created: false\n          })\n        }\n      })\n\n      if (user) {\n        const name = localStorage['Comfy.userName']\n        if (name) {\n          input.value = name\n        }\n      }\n      if (input.value) {\n        // Focus the input, do this separately as sometimes browsers like to fill in the value\n        input.focus()\n      }\n\n      const userIds = Object.keys(users ?? {})\n      if (userIds.length) {\n        for (const u of userIds) {\n          $el('option', { textContent: users[u], value: u, parent: select })\n        }\n        select.style.color = 'var(--descrip-text)'\n\n        if (select.value) {\n          // Focus the select, do this separately as sometimes browsers like to fill in the value\n          select.focus()\n        }\n      } else {\n        userSelection.classList.add('no-users')\n        input.focus()\n      }\n    }).then((r: SelectedUser) => {\n      userSelection.remove()\n      return r\n    })\n  }\n}\n"],"names":["error"],"mappings":";;;AAWO,MAAM,oBAAoB;AAAA,SAAA;AAAA;AAAA;AAAA,EAC/B,MAAM,KAAK,OAAO,MAA6B;AACvC,UAAA,gBAAgB,SAAS,eAAe,sBAAsB;AACpE,kBAAc,MAAM,UAAU;AACvB,WAAA,IAAI,QAAQ,CAAC,YAAY;AAC9B,YAAM,QAAQ,cAAc,qBAAqB,OAAO,EAAE,CAAC;AAC3D,YAAM,SAAS,cAAc,qBAAqB,QAAQ,EAAE,CAAC;AACvD,YAAA,eAAe,MAAM,QAAQ,SAAS;AACtC,YAAA,gBAAgB,OAAO,QAAQ,SAAS;AAC9C,YAAM,OAAO,cAAc,qBAAqB,MAAM,EAAE,CAAC;AACzD,YAAM,QAAQ,cAAc,uBAAuB,kBAAkB,EAAE,CAAC;AACxE,YAAM,SAAS,cAAc;AAAA,QAC3B;AAAA,QACA,CAAC;AAEH,UAAI,cAAc;AACZ,YAAA,iBAAiB,SAAS,MAAM;AACvB,qBAAA,UAAU,IAAI,UAAU;AACvB,sBAAA,UAAU,OAAO,UAAU;AAC3B,sBAAA;AAAA,MAAA,CACf;AACM,aAAA,iBAAiB,SAAS,MAAM;AACxB,qBAAA,UAAU,OAAO,UAAU;AAC1B,sBAAA,UAAU,IAAI,UAAU;AACxB,sBAAA;AACd,eAAO,MAAM,QAAQ;AAAA,MAAA,CACtB;AACM,aAAA,iBAAiB,QAAQ,MAAM;AAChC,YAAA,CAAC,OAAO,OAAO;AACjB,iBAAO,MAAM,QAAQ;AAAA,QACvB;AAAA,MAAA,CACD;AAEI,WAAA,iBAAiB,UAAU,OAAO,MAAM;AAC3C,UAAE,eAAe;AACjB,YAAI,eAAe,MAAM;AACvB,gBAAM,cACJ;AAAA,mBACO,aAAa;AAChB,gBAAA,WAAW,MAAM,MAAM,KAAK;AAClC,cAAI,CAAC,UAAU;AACb,kBAAM,cAAc;AACpB;AAAA,UACF;AAKA,gBAAM,WACJ,OAAO;AAAA,UAEP,MAAM;AAAA,UAEN,OAAO,WACL;AACJ,gBAAM,UAAU;AAChB,iBAAO,QAAQ,OAAO;AAClB,cAAA;AACF,kBAAM,OAAO,MAAM,IAAI,WAAW,QAAQ;AACtC,gBAAA,KAAK,UAAU,KAAK;AACtB,kBAAI,UACF,0BAA0B,KAAK,SAAS,MAAM,KAAK;AACjD,kBAAA;AACI,sBAAA,MAAM,MAAM,KAAK;AACvB,oBAAI,IAAI,OAAO;AACb,4BAAU,IAAI;AAAA,gBAChB;AAAA,uBACOA,QAAO;AAAA,cAAC;AACX,oBAAA,IAAI,MAAM,OAAO;AAAA,YACzB;AAEQ,oBAAA,EAAE,UAAU,QAAQ,MAAM,KAAK,QAAQ,SAAS,KAAA,CAAM;AAAA,mBACvD,KAAK;AACZ,oBAAQ,OAAO;AACf,kBAAM,cACJ,IAAI,WACJ,IAAI,cACJ,OACA;AAGF,kBAAM,WACJ,OAAO;AAAA,YAEP,MAAM;AAAA,YAEN,OAAO,WACL;AACJ;AAAA,UACF;AAAA,QAAA,WACS,CAAC,OAAO,OAAO;AACxB,gBAAM,cAAc;AACpB;AAAA,QAAA,OACK;AACG,kBAAA;AAAA,YACN,UAAU,MAAM,OAAO,KAAK;AAAA,YAC5B,QAAQ,OAAO;AAAA,YACf,SAAS;AAAA,UAAA,CACV;AAAA,QACH;AAAA,MAAA,CACD;AAED,UAAI,MAAM;AACF,cAAA,OAAO,aAAa,gBAAgB;AAC1C,YAAI,MAAM;AACR,gBAAM,QAAQ;AAAA,QAChB;AAAA,MACF;AACA,UAAI,MAAM,OAAO;AAEf,cAAM,MAAM;AAAA,MACd;AAEA,YAAM,UAAU,OAAO,KAAK,SAAS,CAAE,CAAA;AACvC,UAAI,QAAQ,QAAQ;AAClB,mBAAW,KAAK,SAAS;AACnB,cAAA,UAAU,EAAE,aAAa,MAAM,CAAC,GAAG,OAAO,GAAG,QAAQ,OAAQ,CAAA;AAAA,QACnE;AACA,eAAO,MAAM,QAAQ;AAErB,YAAI,OAAO,OAAO;AAEhB,iBAAO,MAAM;AAAA,QACf;AAAA,MAAA,OACK;AACS,sBAAA,UAAU,IAAI,UAAU;AACtC,cAAM,MAAM;AAAA,MACd;AAAA,IAAA,CACD,EAAE,KAAK,CAAC,MAAoB;AAC3B,oBAAc,OAAO;AACd,aAAA;AAAA,IAAA,CACR;AAAA,EACH;AACF;;;;"}
\ No newline at end of file
diff --git a/ComfyUI/web/extensions/core/clipspace.js b/ComfyUI/web/extensions/core/clipspace.js
new file mode 100644
index 0000000000000000000000000000000000000000..004b17c5b9974015aed2901b013701e4727c93fe
--- /dev/null
+++ b/ComfyUI/web/extensions/core/clipspace.js
@@ -0,0 +1,2 @@
+// Shim for extensions\core\clipspace.ts
+export const ClipspaceDialog = window.comfyAPI.clipspace.ClipspaceDialog;
diff --git a/ComfyUI/web/extensions/core/groupNode.js b/ComfyUI/web/extensions/core/groupNode.js
new file mode 100644
index 0000000000000000000000000000000000000000..fc43ddc413658d9b9a24c309e597c3d3dc114dfc
--- /dev/null
+++ b/ComfyUI/web/extensions/core/groupNode.js
@@ -0,0 +1,3 @@
+// Shim for extensions\core\groupNode.ts
+export const GroupNodeConfig = window.comfyAPI.groupNode.GroupNodeConfig;
+export const GroupNodeHandler = window.comfyAPI.groupNode.GroupNodeHandler;
diff --git a/ComfyUI/web/extensions/core/groupNodeManage.js b/ComfyUI/web/extensions/core/groupNodeManage.js
new file mode 100644
index 0000000000000000000000000000000000000000..913c2c60c0a936e2ef762839dc11209c18a6372c
--- /dev/null
+++ b/ComfyUI/web/extensions/core/groupNodeManage.js
@@ -0,0 +1,2 @@
+// Shim for extensions\core\groupNodeManage.ts
+export const ManageGroupDialog = window.comfyAPI.groupNodeManage.ManageGroupDialog;
diff --git a/ComfyUI/web/extensions/core/widgetInputs.js b/ComfyUI/web/extensions/core/widgetInputs.js
new file mode 100644
index 0000000000000000000000000000000000000000..286418d48ff47e3915ff971e0ae72ac08f28b011
--- /dev/null
+++ b/ComfyUI/web/extensions/core/widgetInputs.js
@@ -0,0 +1,4 @@
+// Shim for extensions\core\widgetInputs.ts
+export const getWidgetConfig = window.comfyAPI.widgetInputs.getWidgetConfig;
+export const setWidgetConfig = window.comfyAPI.widgetInputs.setWidgetConfig;
+export const mergeIfValid = window.comfyAPI.widgetInputs.mergeIfValid;
diff --git a/ComfyUI/web/fonts/materialdesignicons-webfont.woff2 b/ComfyUI/web/fonts/materialdesignicons-webfont.woff2
new file mode 100644
index 0000000000000000000000000000000000000000..8c69b85f666bf3996d7e3194623bf53e774c44a3
Binary files /dev/null and b/ComfyUI/web/fonts/materialdesignicons-webfont.woff2 differ
diff --git a/ComfyUI/web/index.html b/ComfyUI/web/index.html
new file mode 100644
index 0000000000000000000000000000000000000000..88c3389823001bca5048f7f81f159a44ae678030
--- /dev/null
+++ b/ComfyUI/web/index.html
@@ -0,0 +1,50 @@
+<!DOCTYPE html>
+<html lang="en">
+	<head>
+		<meta charset="UTF-8">
+		<title>ComfyUI</title>
+		<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=no">
+		<!-- Browser Test Fonts -->
+		<!-- <link href="https://fonts.googleapis.com/css2?family=Roboto+Mono:ital,wght@0,100..700;1,100..700&family=Roboto:ital,wght@0,100;0,300;0,400;0,500;0,700;0,900;1,100;1,300;1,400;1,500;1,700;1,900&display=swap" rel="stylesheet">
+		<link href="https://fonts.googleapis.com/css2?family=Noto+Color+Emoji&family=Roboto+Mono:ital,wght@0,100..700;1,100..700&family=Roboto:ital,wght@0,100;0,300;0,400;0,500;0,700;0,900;1,100;1,300;1,400;1,500;1,700;1,900&display=swap" rel="stylesheet">
+		<style>
+			* {
+				font-family: 'Roboto Mono', 'Noto Color Emoji';
+			}
+		</style> -->



+		<link rel="stylesheet" type="text/css" href="user.css" />
+		<link rel="stylesheet" type="text/css" href="materialdesignicons.min.css" />
+		<script type="module" crossorigin src="./assets/index-CI3N807S.js"></script>
+		<link rel="stylesheet" crossorigin href="./assets/index-_5czGnTA.css">
+	</head>
+	<body class="litegraph">
+		<div id="vue-app"></div>
+		<div id="comfy-user-selection" class="comfy-user-selection" style="display: none;">
+			<main class="comfy-user-selection-inner">
+				<h1>ComfyUI</h1>
+				<form>
+					<section>
+						<label>New user:
+							<input placeholder="Enter a username" />
+						</label>
+					</section>
+					<div class="comfy-user-existing">
+						<span class="or-separator">OR</span>
+						<section>
+							<label>
+								Existing user:
+								<select>
+									<option hidden disabled selected value> Select a user </option>
+								</select>
+							</label>
+						</section>
+					</div>
+					<footer>
+						<span class="comfy-user-error">&nbsp;</span>
+						<button class="comfy-btn comfy-user-button-next">Next</button>
+					</footer>
+				</form>
+			</main>
+		</div>
+	</body>
+</html>
diff --git a/ComfyUI/web/materialdesignicons.min.css b/ComfyUI/web/materialdesignicons.min.css
new file mode 100644
index 0000000000000000000000000000000000000000..e2ea8930ce0294937024a24f0112bc45ffacb834
--- /dev/null
+++ b/ComfyUI/web/materialdesignicons.min.css
@@ -0,0 +1,3 @@
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::before{content:"\F02E5"}.mdi-pot-mix::before{content:"\F065B"}.mdi-pot-mix-outline::before{content:"\F0677"}.mdi-pot-outline::before{content:"\F02FF"}.mdi-pot-steam::before{content:"\F065A"}.mdi-pot-steam-outline::before{content:"\F0326"}.mdi-pound::before{content:"\F0423"}.mdi-pound-box::before{content:"\F0424"}.mdi-pound-box-outline::before{content:"\F117F"}.mdi-power::before{content:"\F0425"}.mdi-power-cycle::before{content:"\F0901"}.mdi-power-off::before{content:"\F0902"}.mdi-power-on::before{content:"\F0903"}.mdi-power-plug::before{content:"\F06A5"}.mdi-power-plug-battery::before{content:"\F1C3B"}.mdi-power-plug-battery-outline::before{content:"\F1C3C"}.mdi-power-plug-off::before{content:"\F06A6"}.mdi-power-plug-off-outline::before{content:"\F1424"}.mdi-power-plug-outline::before{content:"\F1425"}.mdi-power-settings::before{content:"\F0426"}.mdi-power-sleep::before{content:"\F0904"}.mdi-power-socket::before{content:"\F0427"}.mdi-power-socket-au::before{content:"\F0905"}.mdi-power-socket-ch::before{content:"\F0FB3"}.mdi-power-socket-de::before{content:"\F1107"}.mdi-power-socket-eu::before{content:"\F07E7"}.mdi-power-socket-fr::before{content:"\F1108"}.mdi-power-socket-it::before{content:"\F14FF"}.mdi-power-socket-jp::before{content:"\F1109"}.mdi-power-socket-uk::before{content:"\F07E8"}.mdi-power-socket-us::before{content:"\F07E9"}.mdi-power-standby::before{content:"\F0906"}.mdi-powershell::before{content:"\F0A0A"}.mdi-prescription::before{content:"\F0706"}.mdi-presentation::before{content:"\F0428"}.mdi-presentation-play::before{content:"\F0429"}.mdi-pretzel::before{content:"\F1562"}.mdi-printer::before{content:"\F042A"}.mdi-printer-3d::before{content:"\F042B"}.mdi-printer-3d-nozzle::before{content:"\F0E5B"}.mdi-printer-3d-nozzle-alert::before{content:"\F11C0"}.mdi-printer-3d-nozzle-alert-outline::before{content:"\F11C1"}.mdi-printer-3d-nozzle-heat::before{content:"\F18B8"}.mdi-printer-3d-nozzle-heat-outline::before{content:"\F18B9"}.mdi-printer-3d-nozzle-off::before{content:"\F1B19"}.mdi-printer-3d-nozzle-off-outline::before{content:"\F1B1A"}.mdi-printer-3d-nozzle-outline::before{content:"\F0E5C"}.mdi-printer-3d-off::before{content:"\F1B0E"}.mdi-printer-alert::before{content:"\F042C"}.mdi-printer-check::before{content:"\F1146"}.mdi-printer-eye::before{content:"\F1458"}.mdi-printer-off::before{content:"\F0E5D"}.mdi-printer-off-outline::before{content:"\F1785"}.mdi-printer-outline::before{content:"\F1786"}.mdi-printer-pos::before{content:"\F1057"}.mdi-printer-pos-alert::before{content:"\F1BBC"}.mdi-printer-pos-alert-outline::before{content:"\F1BBD"}.mdi-printer-pos-cancel::before{content:"\F1BBE"}.mdi-printer-pos-cancel-outline::before{content:"\F1BBF"}.mdi-printer-pos-check::before{content:"\F1BC0"}.mdi-printer-pos-check-outline::before{content:"\F1BC1"}.mdi-printer-pos-cog::before{content:"\F1BC2"}.mdi-printer-pos-cog-outline::before{content:"\F1BC3"}.mdi-printer-pos-edit::before{content:"\F1BC4"}.mdi-printer-pos-edit-outline::before{content:"\F1BC5"}.mdi-printer-pos-minus::before{content:"\F1BC6"}.mdi-printer-pos-minus-outline::before{content:"\F1BC7"}.mdi-printer-pos-network::before{content:"\F1BC8"}.mdi-printer-pos-network-outline::before{content:"\F1BC9"}.mdi-printer-pos-off::before{content:"\F1BCA"}.mdi-printer-pos-off-outline::before{content:"\F1BCB"}.mdi-printer-pos-outline::before{content:"\F1BCC"}.mdi-printer-pos-pause::before{content:"\F1BCD"}.mdi-printer-pos-pause-outline::before{content:"\F1BCE"}.mdi-printer-pos-play::before{content:"\F1BCF"}.mdi-printer-pos-play-outline::before{content:"\F1BD0"}.mdi-printer-pos-plus::before{content:"\F1BD1"}.mdi-printer-pos-plus-outline::before{content:"\F1BD2"}.mdi-printer-pos-refresh::before{content:"\F1BD3"}.mdi-printer-pos-refresh-outline::before{content:"\F1BD4"}.mdi-printer-pos-remove::before{content:"\F1BD5"}.mdi-printer-pos-remove-outline::before{content:"\F1BD6"}.mdi-printer-pos-star::before{content:"\F1BD7"}.mdi-printer-pos-star-outline::before{content:"\F1BD8"}.mdi-printer-pos-stop::before{content:"\F1BD9"}.mdi-printer-pos-stop-outline::before{content:"\F1BDA"}.mdi-printer-pos-sync::before{content:"\F1BDB"}.mdi-printer-pos-sync-outline::before{content:"\F1BDC"}.mdi-printer-pos-wrench::before{content:"\F1BDD"}.mdi-printer-pos-wrench-outline::before{content:"\F1BDE"}.mdi-printer-search::before{content:"\F1457"}.mdi-printer-settings::before{content:"\F0707"}.mdi-printer-wireless::before{content:"\F0A0B"}.mdi-priority-high::before{content:"\F0603"}.mdi-priority-low::before{content:"\F0604"}.mdi-professional-hexagon::before{content:"\F042D"}.mdi-progress-alert::before{content:"\F0CBC"}.mdi-progress-check::before{content:"\F0995"}.mdi-progress-clock::before{content:"\F0996"}.mdi-progress-close::before{content:"\F110A"}.mdi-progress-download::before{content:"\F0997"}.mdi-progress-helper::before{content:"\F1BA2"}.mdi-progress-pencil::before{content:"\F1787"}.mdi-progress-question::before{content:"\F1522"}.mdi-progress-star::before{content:"\F1788"}.md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di-wifi-remove::before{content:"\F16C5"}.mdi-wifi-settings::before{content:"\F16C6"}.mdi-wifi-star::before{content:"\F0E0B"}.mdi-wifi-strength-1::before{content:"\F091F"}.mdi-wifi-strength-1-alert::before{content:"\F0920"}.mdi-wifi-strength-1-lock::before{content:"\F0921"}.mdi-wifi-strength-1-lock-open::before{content:"\F16CB"}.mdi-wifi-strength-2::before{content:"\F0922"}.mdi-wifi-strength-2-alert::before{content:"\F0923"}.mdi-wifi-strength-2-lock::before{content:"\F0924"}.mdi-wifi-strength-2-lock-open::before{content:"\F16CC"}.mdi-wifi-strength-3::before{content:"\F0925"}.mdi-wifi-strength-3-alert::before{content:"\F0926"}.mdi-wifi-strength-3-lock::before{content:"\F0927"}.mdi-wifi-strength-3-lock-open::before{content:"\F16CD"}.mdi-wifi-strength-4::before{content:"\F0928"}.mdi-wifi-strength-4-alert::before{content:"\F0929"}.mdi-wifi-strength-4-lock::before{content:"\F092A"}.mdi-wifi-strength-4-lock-open::before{content:"\F16CE"}.mdi-wifi-strength-alert-outline::before{content:"\F092B"}.mdi-wifi-strength-lock-open-outline::before{content:"\F16CF"}.mdi-wifi-strength-lock-outline::before{content:"\F092C"}.mdi-wifi-strength-off::before{content:"\F092D"}.mdi-wifi-strength-off-outline::before{content:"\F092E"}.mdi-wifi-strength-outline::before{content:"\F092F"}.mdi-wifi-sync::before{content:"\F16C7"}.mdi-wikipedia::before{content:"\F05AC"}.mdi-wind-power::before{content:"\F1A88"}.mdi-wind-power-outline::before{content:"\F1A89"}.mdi-wind-turbine::before{content:"\F0DA5"}.mdi-wind-turbine-alert::before{content:"\F19AB"}.mdi-wind-turbine-check::before{content:"\F19AC"}.mdi-window-close::before{content:"\F05AD"}.mdi-window-closed::before{content:"\F05AE"}.mdi-window-closed-variant::before{content:"\F11DB"}.mdi-window-maximize::before{content:"\F05AF"}.mdi-window-minimize::before{content:"\F05B0"}.mdi-window-open::before{content:"\F05B1"}.mdi-window-open-variant::before{content:"\F11DC"}.mdi-window-restore::before{content:"\F05B2"}.mdi-window-shutter::before{content:"\F111C"}.mdi-window-shutter-alert::before{content:"\F111D"}.mdi-window-shutter-auto::before{content:"\F1BA3"}.mdi-window-shutter-cog::before{content:"\F1A8A"}.mdi-window-shutter-open::before{content:"\F111E"}.mdi-window-shutter-settings::before{content:"\F1A8B"}.mdi-windsock::before{content:"\F15FA"}.mdi-wiper::before{content:"\F0AE9"}.mdi-wiper-wash::before{content:"\F0DA6"}.mdi-wiper-wash-alert::before{content:"\F18DF"}.mdi-wizard-hat::before{content:"\F1477"}.mdi-wordpress::before{content:"\F05B4"}.mdi-wrap::before{content:"\F05B6"}.mdi-wrap-disabled::before{content:"\F0BDF"}.mdi-wrench::before{content:"\F05B7"}.mdi-wrench-check::before{content:"\F1B8F"}.mdi-wrench-check-outline::before{content:"\F1B90"}.mdi-wrench-clock::before{content:"\F19A3"}.mdi-wrench-clock-outline::before{content:"\F1B93"}.mdi-wrench-cog::before{content:"\F1B91"}.mdi-wrench-cog-outline::before{content:"\F1B92"}.mdi-wrench-outline::before{content:"\F0BE0"}.mdi-xamarin::before{content:"\F0845"}.mdi-xml::before{content:"\F05C0"}.mdi-xmpp::before{content:"\F07FF"}.mdi-yahoo::before{content:"\F0B4F"}.mdi-yeast::before{content:"\F05C1"}.mdi-yin-yang::before{content:"\F0680"}.mdi-yoga::before{content:"\F117C"}.mdi-youtube::before{content:"\F05C3"}.mdi-youtube-gaming::before{content:"\F0848"}.mdi-youtube-studio::before{content:"\F0847"}.mdi-youtube-subscription::before{content:"\F0D40"}.mdi-youtube-tv::before{content:"\F0448"}.mdi-yurt::before{content:"\F1516"}.mdi-z-wave::before{content:"\F0AEA"}.mdi-zend::before{content:"\F0AEB"}.mdi-zigbee::before{content:"\F0D41"}.mdi-zip-box::before{content:"\F05C4"}.mdi-zip-box-outline::before{content:"\F0FFA"}.mdi-zip-disk::before{content:"\F0A23"}.mdi-zodiac-aquarius::before{content:"\F0A7D"}.mdi-zodiac-aries::before{content:"\F0A7E"}.mdi-zodiac-cancer::before{content:"\F0A7F"}.mdi-zodiac-capricorn::before{content:"\F0A80"}.mdi-zodiac-gemini::before{content:"\F0A81"}.mdi-zodiac-leo::before{content:"\F0A82"}.mdi-zodiac-libra::before{content:"\F0A83"}.mdi-zodiac-pisces::before{content:"\F0A84"}.mdi-zodiac-sagittarius::before{content:"\F0A85"}.mdi-zodiac-scorpio::before{content:"\F0A86"}.mdi-zodiac-taurus::before{content:"\F0A87"}.mdi-zodiac-virgo::before{content:"\F0A88"}.mdi-blank::before{content:"\F68C";visibility:hidden}.mdi-18px.mdi-set,.mdi-18px.mdi:before{font-size:18px}.mdi-24px.mdi-set,.mdi-24px.mdi:before{font-size:24px}.mdi-36px.mdi-set,.mdi-36px.mdi:before{font-size:36px}.mdi-48px.mdi-set,.mdi-48px.mdi:before{font-size:48px}.mdi-dark:before{color:rgba(0,0,0,0.54)}.mdi-dark.mdi-inactive:before{color:rgba(0,0,0,0.26)}.mdi-light:before{color:#fff}.mdi-light.mdi-inactive:before{color:rgba(255,255,255,0.3)}.mdi-rotate-45:before{-webkit-transform:rotate(45deg);-ms-transform:rotate(45deg);transform:rotate(45deg)}.mdi-rotate-90:before{-webkit-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg)}.mdi-rotate-135:before{-webkit-transform:rotate(135deg);-ms-transform:rotate(135deg);transform:rotate(135deg)}.mdi-rotate-180:before{-webkit-transform:rotate(180deg);-ms-transform:rotate(180deg);transform:rotate(180deg)}.mdi-rotate-225:before{-webkit-transform:rotate(225deg);-ms-transform:rotate(225deg);transform:rotate(225deg)}.mdi-rotate-270:before{-webkit-transform:rotate(270deg);-ms-transform:rotate(270deg);transform:rotate(270deg)}.mdi-rotate-315:before{-webkit-transform:rotate(315deg);-ms-transform:rotate(315deg);transform:rotate(315deg)}.mdi-flip-h:before{-webkit-transform:scaleX(-1);transform:scaleX(-1);filter:FlipH;-ms-filter:"FlipH"}.mdi-flip-v:before{-webkit-transform:scaleY(-1);transform:scaleY(-1);filter:FlipV;-ms-filter:"FlipV"}.mdi-spin:before{-webkit-animation:mdi-spin 2s infinite linear;animation:mdi-spin 2s infinite linear}@-webkit-keyframes mdi-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}100%{-webkit-transform:rotate(359deg);transform:rotate(359deg)}}@keyframes mdi-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}100%{-webkit-transform:rotate(359deg);transform:rotate(359deg)}}
+
+/*# sourceMappingURL=materialdesignicons.css.map */
diff --git a/ComfyUI/web/scripts/api.js b/ComfyUI/web/scripts/api.js
new file mode 100644
index 0000000000000000000000000000000000000000..2594a0464697c121feefbadf88203954e09d410f
--- /dev/null
+++ b/ComfyUI/web/scripts/api.js
@@ -0,0 +1,2 @@
+// Shim for scripts\api.ts
+export const api = window.comfyAPI.api.api;
diff --git a/ComfyUI/web/scripts/app.js b/ComfyUI/web/scripts/app.js
new file mode 100644
index 0000000000000000000000000000000000000000..8d3e8789608737b6d4ad5da0a2474acfa7c9bf11
--- /dev/null
+++ b/ComfyUI/web/scripts/app.js
@@ -0,0 +1,4 @@
+// Shim for scripts\app.ts
+export const ANIM_PREVIEW_WIDGET = window.comfyAPI.app.ANIM_PREVIEW_WIDGET;
+export const ComfyApp = window.comfyAPI.app.ComfyApp;
+export const app = window.comfyAPI.app.app;
diff --git a/ComfyUI/web/scripts/changeTracker.js b/ComfyUI/web/scripts/changeTracker.js
new file mode 100644
index 0000000000000000000000000000000000000000..2844f25c326716ecd6f9f7c187db80e0590864fb
--- /dev/null
+++ b/ComfyUI/web/scripts/changeTracker.js
@@ -0,0 +1,2 @@
+// Shim for scripts\changeTracker.ts
+export const ChangeTracker = window.comfyAPI.changeTracker.ChangeTracker;
diff --git a/ComfyUI/web/scripts/defaultGraph.js b/ComfyUI/web/scripts/defaultGraph.js
new file mode 100644
index 0000000000000000000000000000000000000000..13a187af560662ffb56bdb7bd63f888b53a2b174
--- /dev/null
+++ b/ComfyUI/web/scripts/defaultGraph.js
@@ -0,0 +1,2 @@
+// Shim for scripts\defaultGraph.ts
+export const defaultGraph = window.comfyAPI.defaultGraph.defaultGraph;
diff --git a/ComfyUI/web/scripts/domWidget.js b/ComfyUI/web/scripts/domWidget.js
new file mode 100644
index 0000000000000000000000000000000000000000..6156a2f4fb8c35e9e91e35e19d9b89369da675a0
--- /dev/null
+++ b/ComfyUI/web/scripts/domWidget.js
@@ -0,0 +1,2 @@
+// Shim for scripts\domWidget.ts
+export const addDomClippingSetting = window.comfyAPI.domWidget.addDomClippingSetting;
diff --git a/ComfyUI/web/scripts/logging.js b/ComfyUI/web/scripts/logging.js
new file mode 100644
index 0000000000000000000000000000000000000000..e5486616ea2616acd079df3d0c0bef8eb91c1c37
--- /dev/null
+++ b/ComfyUI/web/scripts/logging.js
@@ -0,0 +1,2 @@
+// Shim for scripts\logging.ts
+export const ComfyLogging = window.comfyAPI.logging.ComfyLogging;
diff --git a/ComfyUI/web/scripts/metadata/flac.js b/ComfyUI/web/scripts/metadata/flac.js
new file mode 100644
index 0000000000000000000000000000000000000000..8116899c0eddba3cb472e4750287571ec9f95254
--- /dev/null
+++ b/ComfyUI/web/scripts/metadata/flac.js
@@ -0,0 +1,3 @@
+// Shim for scripts\metadata\flac.ts
+export const getFromFlacBuffer = window.comfyAPI.flac.getFromFlacBuffer;
+export const getFromFlacFile = window.comfyAPI.flac.getFromFlacFile;
diff --git a/ComfyUI/web/scripts/metadata/png.js b/ComfyUI/web/scripts/metadata/png.js
new file mode 100644
index 0000000000000000000000000000000000000000..f0ef9e1354bd151a7a9e62988bf40ddd8bee1946
--- /dev/null
+++ b/ComfyUI/web/scripts/metadata/png.js
@@ -0,0 +1,3 @@
+// Shim for scripts\metadata\png.ts
+export const getFromPngBuffer = window.comfyAPI.png.getFromPngBuffer;
+export const getFromPngFile = window.comfyAPI.png.getFromPngFile;
diff --git a/ComfyUI/web/scripts/pnginfo.js b/ComfyUI/web/scripts/pnginfo.js
new file mode 100644
index 0000000000000000000000000000000000000000..e83481c9ca4583d09fde21850634fbeb91fd2f7d
--- /dev/null
+++ b/ComfyUI/web/scripts/pnginfo.js
@@ -0,0 +1,6 @@
+// Shim for scripts\pnginfo.ts
+export const getPngMetadata = window.comfyAPI.pnginfo.getPngMetadata;
+export const getFlacMetadata = window.comfyAPI.pnginfo.getFlacMetadata;
+export const getWebpMetadata = window.comfyAPI.pnginfo.getWebpMetadata;
+export const getLatentMetadata = window.comfyAPI.pnginfo.getLatentMetadata;
+export const importA1111 = window.comfyAPI.pnginfo.importA1111;
diff --git a/ComfyUI/web/scripts/ui.js b/ComfyUI/web/scripts/ui.js
new file mode 100644
index 0000000000000000000000000000000000000000..007e21d5fe2dede877e1f517c08fcb8dae3304a7
--- /dev/null
+++ b/ComfyUI/web/scripts/ui.js
@@ -0,0 +1,4 @@
+// Shim for scripts\ui.ts
+export const ComfyDialog = window.comfyAPI.ui.ComfyDialog;
+export const $el = window.comfyAPI.ui.$el;
+export const ComfyUI = window.comfyAPI.ui.ComfyUI;
diff --git a/ComfyUI/web/scripts/ui/components/asyncDialog.js b/ComfyUI/web/scripts/ui/components/asyncDialog.js
new file mode 100644
index 0000000000000000000000000000000000000000..c3667623691bcff392801b324f47b6caaed2097f
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/components/asyncDialog.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\components\asyncDialog.ts
+export const ComfyAsyncDialog = window.comfyAPI.asyncDialog.ComfyAsyncDialog;
diff --git a/ComfyUI/web/scripts/ui/components/button.js b/ComfyUI/web/scripts/ui/components/button.js
new file mode 100644
index 0000000000000000000000000000000000000000..83def00bcae3e4cf66994e738f3fe4210c7e851a
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/components/button.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\components\button.ts
+export const ComfyButton = window.comfyAPI.button.ComfyButton;
diff --git a/ComfyUI/web/scripts/ui/components/buttonGroup.js b/ComfyUI/web/scripts/ui/components/buttonGroup.js
new file mode 100644
index 0000000000000000000000000000000000000000..e1faa20adc436b555db234896844243d46d5b936
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/components/buttonGroup.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\components\buttonGroup.ts
+export const ComfyButtonGroup = window.comfyAPI.buttonGroup.ComfyButtonGroup;
diff --git a/ComfyUI/web/scripts/ui/components/popup.js b/ComfyUI/web/scripts/ui/components/popup.js
new file mode 100644
index 0000000000000000000000000000000000000000..323c33c397f1dff60414aa4e2468ebe9c131e377
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/components/popup.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\components\popup.ts
+export const ComfyPopup = window.comfyAPI.popup.ComfyPopup;
diff --git a/ComfyUI/web/scripts/ui/components/splitButton.js b/ComfyUI/web/scripts/ui/components/splitButton.js
new file mode 100644
index 0000000000000000000000000000000000000000..8f8340b8dc8c413b62c9646e6de9bd88022db22e
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/components/splitButton.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\components\splitButton.ts
+export const ComfySplitButton = window.comfyAPI.splitButton.ComfySplitButton;
diff --git a/ComfyUI/web/scripts/ui/dialog.js b/ComfyUI/web/scripts/ui/dialog.js
new file mode 100644
index 0000000000000000000000000000000000000000..a185bc01be9c64fa37d940bcd7c339a0084c01a0
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/dialog.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\dialog.ts
+export const ComfyDialog = window.comfyAPI.dialog.ComfyDialog;
diff --git a/ComfyUI/web/scripts/ui/draggableList.js b/ComfyUI/web/scripts/ui/draggableList.js
new file mode 100644
index 0000000000000000000000000000000000000000..192651e0443dfd928ea037ddde77aab07040705f
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/draggableList.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\draggableList.ts
+export const DraggableList = window.comfyAPI.draggableList.DraggableList;
diff --git a/ComfyUI/web/scripts/ui/imagePreview.js b/ComfyUI/web/scripts/ui/imagePreview.js
new file mode 100644
index 0000000000000000000000000000000000000000..2c2d7e8425642cc299517ad5d5aa3220655937ee
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/imagePreview.js
@@ -0,0 +1,3 @@
+// Shim for scripts\ui\imagePreview.ts
+export const calculateImageGrid = window.comfyAPI.imagePreview.calculateImageGrid;
+export const createImageHost = window.comfyAPI.imagePreview.createImageHost;
diff --git a/ComfyUI/web/scripts/ui/menu/index.js b/ComfyUI/web/scripts/ui/menu/index.js
new file mode 100644
index 0000000000000000000000000000000000000000..d1c06a455e593dc76b720fe07c37b18077ffe6e3
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/menu/index.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\menu\index.ts
+export const ComfyAppMenu = window.comfyAPI.index.ComfyAppMenu;
diff --git a/ComfyUI/web/scripts/ui/menu/interruptButton.js b/ComfyUI/web/scripts/ui/menu/interruptButton.js
new file mode 100644
index 0000000000000000000000000000000000000000..23da3b44a38c1809c84c0010e11db1f1b06f2d25
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/menu/interruptButton.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\menu\interruptButton.ts
+export const getInterruptButton = window.comfyAPI.interruptButton.getInterruptButton;
diff --git a/ComfyUI/web/scripts/ui/menu/queueButton.js b/ComfyUI/web/scripts/ui/menu/queueButton.js
new file mode 100644
index 0000000000000000000000000000000000000000..38df591129ce5d533d31b91652f7976080727b75
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/menu/queueButton.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\menu\queueButton.ts
+export const ComfyQueueButton = window.comfyAPI.queueButton.ComfyQueueButton;
diff --git a/ComfyUI/web/scripts/ui/menu/queueOptions.js b/ComfyUI/web/scripts/ui/menu/queueOptions.js
new file mode 100644
index 0000000000000000000000000000000000000000..6c1528a4c6c3c88b2b83098be68f5dff89ad510b
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/menu/queueOptions.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\menu\queueOptions.ts
+export const ComfyQueueOptions = window.comfyAPI.queueOptions.ComfyQueueOptions;
diff --git a/ComfyUI/web/scripts/ui/menu/workflows.js b/ComfyUI/web/scripts/ui/menu/workflows.js
new file mode 100644
index 0000000000000000000000000000000000000000..13754b4bb603351bd3eb6e354ca8384c3ab14ba7
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/menu/workflows.js
@@ -0,0 +1,3 @@
+// Shim for scripts\ui\menu\workflows.ts
+export const ComfyWorkflowsMenu = window.comfyAPI.workflows.ComfyWorkflowsMenu;
+export const ComfyWorkflowsContent = window.comfyAPI.workflows.ComfyWorkflowsContent;
diff --git a/ComfyUI/web/scripts/ui/settings.js b/ComfyUI/web/scripts/ui/settings.js
new file mode 100644
index 0000000000000000000000000000000000000000..96eb36e3a981628be9396b50788462c5a202323a
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/settings.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\settings.ts
+export const ComfySettingsDialog = window.comfyAPI.settings.ComfySettingsDialog;
diff --git a/ComfyUI/web/scripts/ui/spinner.js b/ComfyUI/web/scripts/ui/spinner.js
new file mode 100644
index 0000000000000000000000000000000000000000..4fb8be0dc6ff6cfd36d07f60a2217074cef63e49
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/spinner.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\spinner.ts
+export const createSpinner = window.comfyAPI.spinner.createSpinner;
diff --git a/ComfyUI/web/scripts/ui/toggleSwitch.js b/ComfyUI/web/scripts/ui/toggleSwitch.js
new file mode 100644
index 0000000000000000000000000000000000000000..d510b5583c91bef59e506d133aa403bf30c6a88f
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/toggleSwitch.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\toggleSwitch.ts
+export const toggleSwitch = window.comfyAPI.toggleSwitch.toggleSwitch;
diff --git a/ComfyUI/web/scripts/ui/userSelection.js b/ComfyUI/web/scripts/ui/userSelection.js
new file mode 100644
index 0000000000000000000000000000000000000000..6c77079dbad99fd10f48782e803a64d00871bceb
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/userSelection.js
@@ -0,0 +1,2 @@
+// Shim for scripts\ui\userSelection.ts
+export const UserSelectionScreen = window.comfyAPI.userSelection.UserSelectionScreen;
diff --git a/ComfyUI/web/scripts/ui/utils.js b/ComfyUI/web/scripts/ui/utils.js
new file mode 100644
index 0000000000000000000000000000000000000000..903ba54a90a10f3aca723767bc29348ad24b440e
--- /dev/null
+++ b/ComfyUI/web/scripts/ui/utils.js
@@ -0,0 +1,3 @@
+// Shim for scripts\ui\utils.ts
+export const applyClasses = window.comfyAPI.utils.applyClasses;
+export const toggleElement = window.comfyAPI.utils.toggleElement;
diff --git a/ComfyUI/web/scripts/utils.js b/ComfyUI/web/scripts/utils.js
new file mode 100644
index 0000000000000000000000000000000000000000..425d6e2eb417fc9a4cc4e4407dfa4333c5c76433
--- /dev/null
+++ b/ComfyUI/web/scripts/utils.js
@@ -0,0 +1,8 @@
+// Shim for scripts\utils.ts
+export const clone = window.comfyAPI.utils.clone;
+export const applyTextReplacements = window.comfyAPI.utils.applyTextReplacements;
+export const addStylesheet = window.comfyAPI.utils.addStylesheet;
+export const downloadBlob = window.comfyAPI.utils.downloadBlob;
+export const prop = window.comfyAPI.utils.prop;
+export const getStorageValue = window.comfyAPI.utils.getStorageValue;
+export const setStorageValue = window.comfyAPI.utils.setStorageValue;
diff --git a/ComfyUI/web/scripts/widgets.js b/ComfyUI/web/scripts/widgets.js
new file mode 100644
index 0000000000000000000000000000000000000000..a1385e07c27e89e00f084f5de828fa9faef78af2
--- /dev/null
+++ b/ComfyUI/web/scripts/widgets.js
@@ -0,0 +1,6 @@
+// Shim for scripts\widgets.ts
+export const updateControlWidgetLabel = window.comfyAPI.widgets.updateControlWidgetLabel;
+export const addValueControlWidget = window.comfyAPI.widgets.addValueControlWidget;
+export const addValueControlWidgets = window.comfyAPI.widgets.addValueControlWidgets;
+export const initWidgets = window.comfyAPI.widgets.initWidgets;
+export const ComfyWidgets = window.comfyAPI.widgets.ComfyWidgets;
diff --git a/ComfyUI/web/scripts/workflows.js b/ComfyUI/web/scripts/workflows.js
new file mode 100644
index 0000000000000000000000000000000000000000..c8c7ff43d3e87eff05e9fddc33f056a0ff5e4f77
--- /dev/null
+++ b/ComfyUI/web/scripts/workflows.js
@@ -0,0 +1,4 @@
+// Shim for scripts\workflows.ts
+export const trimJsonExt = window.comfyAPI.workflows.trimJsonExt;
+export const ComfyWorkflowManager = window.comfyAPI.workflows.ComfyWorkflowManager;
+export const ComfyWorkflow = window.comfyAPI.workflows.ComfyWorkflow;
diff --git a/ComfyUI/web/user.css b/ComfyUI/web/user.css
new file mode 100644
index 0000000000000000000000000000000000000000..8b1af38689e5853fb065714d6a6d322c52f17e72
--- /dev/null
+++ b/ComfyUI/web/user.css
@@ -0,0 +1 @@
+/* Put custom styles here */
\ No newline at end of file
diff --git a/main.py b/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..d797674b6c4bf20289e0e7f415421b3a813a93a5
--- /dev/null
+++ b/main.py
@@ -0,0 +1,171 @@
+from fastapi import FastAPI, Request, Response, HTTPException, Query, UploadFile, File
+from fastapi.responses import JSONResponse
+from fastapi.middleware.cors import CORSMiddleware
+import io
+
+from scripts.db_helper import insert_ban , search_ban
+import uuid
+from typing import Optional
+import numpy as np
+import cv2
+import base64
+
+from scripts.comfyui import ComfyUI
+from scripts.liveportrait import LP
+
+import os
+
+ui = None
+lp = None
+
+def generate_response(response_message, response_status ,uuid_code, metadata):
+
+    response_dict = {
+                "response_message" : response_message,
+                "response_status" : response_status,
+                "data" :{
+                    "UUID" : uuid_code,
+                    "metadata" : metadata
+                }
+            }
+
+    return response_dict
+    
+def image_to_base64(image):
+    _, buffer = cv2.imencode('.png', image)
+
+    image_bytes = buffer.tobytes()
+    base64_image = base64.b64encode(image_bytes).decode('utf-8')
+    return base64_image
+
+def base64_to_image(base64_string):
+    image_bytes = base64.b64decode(base64_string)
+    np_array = np.frombuffer(image_bytes, np.uint8)
+    image = cv2.imdecode(np_array, cv2.IMREAD_COLOR)
+    return image
+    
+app = FastAPI()
+
+@app.on_event("startup")
+async def startup_event():
+    print("Application is starting up...")
+    global ui
+    ui = ComfyUI()
+    for i in range(10):
+        if ui.UI():
+            break
+    global lp
+    lp = LP(port = ui.port)
+
+@app.on_event("shutdown")
+async def shutdown_event():
+    print("Application is shutting down...")
+    global ui
+    ui = None
+    global lp
+    lp = None
+
+# api_key = '4b95dfe8-4644-46ce-a4fe-648d6d4860a4'
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"], 
+    allow_credentials=True,
+    allow_methods=["*"], 
+    allow_headers=["*"],
+)
+
+db_params = {
+    'dbname': 'API_DB', 
+    'user': 'postgres',   
+    'password': '4b95dfe8-4644-46ce-a4fe-648d6d4860a4',
+    'host': '44.208.52.100',  
+    'port': '5432' 
+}
+
+async def custom_middleware(request: Request, call_next):
+    
+    request_api_key = request.headers.get("api_key")
+
+    client_ip = request.client.host
+
+    if search_ban(db_params, client_ip):
+        return JSONResponse(status_code=401, content={"detail": "Unauthorized"})
+
+    # if request_api_key != api_key:
+    #     insert_ban(db_params, client_ip, "Access using wrong api_key")
+    #     return JSONResponse(status_code=401, content={"detail": "Unauthorized: Invalid API Key"})
+
+    response = await call_next(request)
+
+    if (response.status_code == 404) or (response.status_code == 405):
+        insert_ban(db_params, client_ip, "Access using unapproved method/endpoint")
+        return JSONResponse(status_code=401, content={"detail": "Unauthorized"})
+
+    return response
+
+app.middleware('http')(custom_middleware)
+
+from scripts.db_helper import get_request_data
+from scripts.s3 import upload_to_s3, generate_presigned_url
+@app.post("/genrate_video")
+async def genrate_video(request_id: uuid.UUID):
+
+    request_id = str(request_id)
+    
+    request_data = get_request_data(
+        db_params=db_params,
+        request_id=request_id
+    )
+
+    if request_data is None:
+        return generate_response('Incorrect Request', False ,'', [])
+
+    print("update request status to processing")
+    
+    video = None
+
+    try:
+        print(1)
+        lp = LP( port = ui.port)
+        video = lp.LP(request_id, request_data[0], f'/home/ubuntu/AI/videos/{request_data[1]}.mp4')
+        print(2)
+    except:
+        print(3)
+        server_url = f"http://127.0.0.1:{ui.port}"
+        if not ui.is_server_ready(server_url, 5):
+            ui.restart_if_down()
+            
+            #global lp
+            lp = LP( port = ui.port)
+        print(4)
+        video = lp.LP(request_id, request_data[0], f'/home/ubuntu/AI/videos/{request_data[1]}.mp4')
+
+    if video is None:
+        if ui.is_server_ready(server_url, 5):
+            print("update request status to error")
+
+    bucket = 'app-faceanimate-s3'
+    local_file_path = f'/home/ubuntu/AI/ComfyUI/output/{video[0]}'
+    s3_key = f'{request_id}/video.mp4'  
+    upload_to_s3(bucket, local_file_path, s3_key)#apply check and retry
+
+    for video_path in video[1]:
+        os.remove(video_path)
+
+    video_url = generate_presigned_url(bucket, s3_key)#apply check and retry
+
+    print("update request status to processed")
+
+    return generate_response('Video Genrated', True ,'', [video_url])
+
+if __name__ == '__main__':
+
+    number_of_workers = 2
+    
+    import uvicorn
+
+    from scripts.comfyui import setup_database
+    setup_database(number_of_workers)
+    
+    uvicorn.run("main:app", host='0.0.0.0', port=3000, workers=number_of_workers )#, limit_max_requests=200 )#, timeout_keep_alive=5)
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ba8ae3593082f34ac5c22e98017230efc8b4d8f9
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,37 @@
+# Essential dependencies
+torch
+torchsde
+torchvision
+torchaudio
+einops
+transformers>=4.28.1
+tokenizers>=0.13.3
+sentencepiece
+safetensors>=0.4.2
+aiohttp
+pyyaml
+Pillow
+scipy
+tqdm
+psutil
+
+# Non-essential dependencies
+kornia>=0.7.1
+spandrel
+soundfile
+imageio-ffmpeg
+ffmpeg-python
+opencv-python
+onnxruntime-gpu
+pykalman
+mediapipe
+onnx2torch
+insightface
+
+numpy<=1.26.4
+
+psycopg2-binary
+boto3
+
+psycopg2-binary
+firebase_admin
\ No newline at end of file
diff --git a/scripts/__pycache__/comfyui.cpython-312.pyc b/scripts/__pycache__/comfyui.cpython-312.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..c6774162b42c2eb6f95bc0a8115eebde8aeca9e0
Binary files /dev/null and b/scripts/__pycache__/comfyui.cpython-312.pyc differ
diff --git a/scripts/__pycache__/fpn.cpython-312.pyc b/scripts/__pycache__/fpn.cpython-312.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..871c419a96b1ac9c747084cbe7866c161ab431c3
Binary files /dev/null and b/scripts/__pycache__/fpn.cpython-312.pyc differ
diff --git a/scripts/__pycache__/liveportrait.cpython-312.pyc b/scripts/__pycache__/liveportrait.cpython-312.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..4965feffc6e1b9e5500083e0426a038fb0ad7611
Binary files /dev/null and b/scripts/__pycache__/liveportrait.cpython-312.pyc differ
diff --git a/scripts/comfyui.py b/scripts/comfyui.py
new file mode 100644
index 0000000000000000000000000000000000000000..d345de9c2558c19b913685e803dd1eca2fd22516
--- /dev/null
+++ b/scripts/comfyui.py
@@ -0,0 +1,180 @@
+import socket
+import time
+import requests
+import subprocess
+import os
+import websocket
+import uuid
+import sqlite3
+
+def is_port_in_use(port, host='127.0.0.1'): 
+    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+        s.settimeout(1)
+        try:
+            s.bind((host, port))
+        except socket.error:
+            return True  
+        return False 
+    
+def setup_database(number_of_ports, starting_port=50000):
+    conn = sqlite3.connect('./scripts/ports.db')
+    cursor = conn.cursor()
+    cursor.execute('DROP TABLE IF EXISTS port_to_use')
+    cursor.execute('DROP TABLE IF EXISTS port_in_use')
+    cursor.execute('''
+    CREATE TABLE port_to_use (
+        port INTEGER
+    )
+    ''')
+    cursor.execute('''
+    CREATE TABLE port_in_use (
+        port INTEGER
+    )
+    ''')
+
+    count = 0
+    con = 0
+
+    while(True):
+
+        if not is_port_in_use(starting_port + count) :
+            cursor.execute('INSERT INTO port_to_use (port) VALUES (?)', (starting_port + count,))
+            con = con + 1
+            
+        count = count + 1
+        if con >= number_of_ports:
+            break
+        
+    conn.commit()
+    conn.close()
+    
+class ComfyUI:
+    def __init__(self):
+        
+        self.port = None
+        self.process = None
+
+    def get_ports_to_use(self):
+        conn = sqlite3.connect('./scripts/ports.db')
+        cursor = conn.cursor()
+        cursor.execute('SELECT port FROM port_to_use ORDER BY port ASC LIMIT 1')
+        first_port = cursor.fetchone()
+        if not first_port:
+            return None
+        first_port = first_port[0]
+        cursor.execute('DELETE FROM port_to_use WHERE port = ?', (first_port,))
+        conn.commit()
+        conn.close()
+        return first_port
+    
+    def search_port_in_use(self, port):
+        conn = sqlite3.connect('./scripts/ports.db')
+        cursor = conn.cursor()
+        cursor.execute('SELECT * FROM port_in_use WHERE port = ?', (port,))
+        rows = cursor.fetchall()
+        conn.close()
+        return len(rows) > 0
+    
+    def insert_port_in_use(self, port):
+        conn = sqlite3.connect('./scripts/ports.db')
+        cursor = conn.cursor()
+        cursor.execute('INSERT INTO port_in_use (port) VALUES (?)', (port,))
+        conn.commit()
+        conn.close()
+
+    def insert_port_to_use(self, port):
+        conn = sqlite3.connect('./scripts/ports.db')
+        cursor = conn.cursor()
+        cursor.execute('INSERT INTO port_to_use (port) VALUES (?)', (port,))
+        conn.commit()
+        conn.close()
+
+    def delete_port_in_use(self, port):
+        conn = sqlite3.connect('./scripts/ports.db')
+        cursor = conn.cursor()
+        cursor.execute('DELETE FROM port_in_use WHERE port = ?', (port,))
+        conn.commit()
+        conn.close()
+
+    def is_server_ready(self, url, timeout=30):
+        start_time = time.time()
+        client_id = str(uuid.uuid4())
+        
+        while True:
+            ws = None
+            try:
+                ws = websocket.WebSocket()
+                ws.connect("ws://{}/ws?clientId={}".format(url, client_id))
+                try:
+                    ws.send('ping')
+                    response = ws.recv()
+                    if response:
+                        ws.close()
+                        return True
+                except websocket.WebSocketException:
+                    pass  
+            except (websocket.WebSocketException, ConnectionRefusedError) as e:
+                time.sleep(1)  
+            if time.time() - start_time > timeout:
+                return False
+            time.sleep(1)
+
+    def UI(self):
+        port_to_use = self.get_ports_to_use()
+        if port_to_use is None:
+            port_to_check = 60000
+            con_count = 0
+            while(True):
+                if con_count > 500:
+                    return False
+                if is_port_in_use(port_to_check) or self.search_port_in_use(port_to_check):
+                    port_to_check = port_to_check + 1
+                    con_count = con_count + 1
+                else:
+                    break
+            self.insert_port_in_use(port_to_check)
+            port_to_use = port_to_check
+        
+        script_dir = "./ComfyUI"
+        script_dir = os.path.abspath(script_dir)
+        
+        code_dir = "./ComfyUI/main.py"
+        code_dir = os.path.abspath(code_dir)
+        
+        env_path = os.getcwd() + '/AI_ENV/bin/python'
+        env_path = '/home/itek/miniconda3/envs/ai/bin/python'  #test remove
+        command = [env_path, os.path.abspath(code_dir), "--port", str(port_to_use), '--listen' , '127.0.0.1']
+        self.process = subprocess.Popen(command, cwd=script_dir, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
+        port = str(port_to_use)
+        if self.is_server_ready(f"localhost:{port}", timeout=20):
+            self.port = port_to_use
+            self.insert_port_in_use(self.port)
+            return True
+        return False
+
+    def restart_if_down(self):
+
+        if self.port is None:
+            return False
+
+        if not is_port_in_use(self.port):
+            
+            if self.process is not None:
+                self.process.terminate()
+                self.process.kill()
+
+                self.insert_port_to_use(self.port)
+                self.delete_port_in_use(self.port)
+                self.process = None
+                self.port = None
+
+            return self.UI()
+
+    def end(self):
+        self.delete_port_in_use(self.port)
+        self.insert_port_to_use(self.port)
+        self.port = None
+
+        self.process.terminate()
+        self.process.kill()
+        self.process = None
\ No newline at end of file
diff --git a/scripts/db_helper.py b/scripts/db_helper.py
new file mode 100644
index 0000000000000000000000000000000000000000..59b53d2e84788c553ed89dc2dce8a583ff3fe769
--- /dev/null
+++ b/scripts/db_helper.py
@@ -0,0 +1,812 @@
+import psycopg2
+from psycopg2 import sql
+
+import uuid
+from datetime import datetime, timedelta
+
+db_params = {
+    'dbname': 'API_DB',
+    'user': 'postgres',
+    'password': '4b95dfe8-4644-46ce-a4fe-648d6d4860a4',
+    'host': 'localhost',
+    'port': '5432'
+}
+# conn = psycopg2.connect(**db_params)
+# conn.autocommit = True
+# cur = conn.cursor()
+
+#user db
+
+def insert_user(db_params ,uid: uuid.UUID, paid: bool, first_name: str, last_name: str, email: str, password: str):
+
+    if uid is None or paid is None:
+        return False
+
+    insert_query = """
+    INSERT INTO users (id, paid, first_name, last_name, email, dor, la, password)
+    VALUES (%s, %s, %s, %s, %s, %s, %s, %s);
+    """
+
+    try:
+        current_time = datetime.now()
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+        cur.execute(insert_query, (str(uid), paid, first_name, last_name, email, current_time, current_time, password))
+        conn.commit()
+        return True
+    except Exception as e:
+        print(f"Error: {e}")
+        return False
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def user_exists(db_params, user_id: uuid.UUID) -> bool:
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        query = "SELECT EXISTS (SELECT 1 FROM users WHERE id = %s);"
+        cur.execute(query, (str(user_id),))
+        result = cur.fetchone()
+
+        if result:
+            exists = result[0]
+            return exists
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error checking if user exists: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def has_user_paid(db_params, user_id: uuid.UUID) -> bool:
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        query = "SELECT paid FROM users WHERE id = %s;"
+        cur.execute(query, (str(user_id),))
+        result = cur.fetchone()
+
+        if result:
+            paid_status = result[0]
+            return paid_status
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error checking if user has paid: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def get_user_id_by_email(db_params, email: str) -> uuid.UUID:
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        query = "SELECT id FROM users WHERE email = %s;"
+        cur.execute(query, (email,))
+        result = cur.fetchone()
+
+        if result:
+            user_id = result[0]
+            return uuid.UUID(user_id)
+        else:
+            return None
+
+    except Exception as e:
+        print(f"Error retrieving user ID by email: {e}")
+        return None
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def user_change_password(db_params, email: str, old_password: str, new_password: str) -> bool:
+    try:
+        user_id = get_user_id_by_email(db_params, email)
+
+        if user_id is None:
+            return False
+
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        query = "SELECT password FROM users WHERE id = %s;"
+        cur.execute(query, (str(user_id),))
+        result = cur.fetchone()
+
+        if result:
+            current_password = result[0]
+            if current_password == old_password:
+                update_query = "UPDATE users SET password = %s WHERE id = %s;"
+                cur.execute(update_query, (new_password, str(user_id)))
+                conn.commit()
+                return True
+            else:
+                return False
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error changing password: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+            
+def update_user_paid_state(db_params, email: str = None, user_id: uuid.UUID = None, paid_state: bool = False) -> bool:
+
+    if email is None and user_id is None:
+        print("Error: Either email or user ID must be provided.")
+        return False
+
+    if email is not None:
+        user_id = get_user_id_by_email(db_params, email)
+        if user_id is None:
+            return False
+
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        update_query = "UPDATE users SET paid = %s WHERE id = %s;"
+        cur.execute(update_query, (paid_state, str(user_id)))
+        conn.commit()
+
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error updating paid state: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def delete_user_by_id(db_params, user_id: uuid.UUID) -> bool:
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        delete_query = "DELETE FROM users WHERE id = %s;"
+        cur.execute(delete_query, (str(user_id),))
+        conn.commit()
+
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error deleting user by ID: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def update_last_activity(db_params, email: str = None, user_id: uuid.UUID = None) -> bool:
+
+    if email is None and user_id is None:
+        print("Error: Either email or user ID must be provided.")
+        return False
+
+    if email is not None:
+        user_id = get_user_id_by_email(db_params, email)
+        if user_id is None:
+            return False
+
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        current_time = datetime.now()
+        update_query = "UPDATE users SET la = %s WHERE id = %s;"
+        cur.execute(update_query, (current_time, str(user_id)))
+        conn.commit()
+
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error updating last activity: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+#request table
+
+def insert_request(db_params, request_id: uuid.UUID, video_id: uuid.UUID, user_id: uuid.UUID, image_base64: str, public: bool, report: bool, 
+    request_service: str, registration_token: str) -> bool:
+    if not user_exists(db_params, user_id):
+        print("Error: User does not exist.")
+        return False
+
+    paid = has_user_paid(db_params, user_id)
+
+    insert_query = """
+    INSERT INTO request (id, video_id, user_id, image_base64, status, tor, toc, public, paid, report, request_service, registration_token)
+    VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s);
+    """
+
+    conn = None
+    cur = None
+    try:
+        current_time = datetime.now()
+
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+        cur.execute(insert_query, (
+            str(request_id), 
+            str(video_id), 
+            str(user_id), 
+            image_base64, 
+            'Requested', 
+            current_time, 
+            None, 
+            public, 
+            paid, 
+            report, 
+            request_service, 
+            registration_token
+        ))
+        conn.commit()
+
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error inserting request: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def get_request_data(db_params, request_id: uuid.UUID):
+    select_query = """
+    SELECT image_base64, video_id, request_service, registration_token
+    FROM request
+    WHERE id = %s;
+    """
+
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+        
+        cur.execute(select_query, (str(request_id),))
+        
+        result = cur.fetchone()
+        
+        if result is None:
+            return None
+        
+        image_base64 = result[0]
+        video_id = result[1]
+        request_service = result[2]
+        registration_token = result[3]
+        
+        return [image_base64, video_id, request_service, registration_token]
+
+    except Exception as e:
+        print(f"Error retrieving image and video: {e}")
+        return None
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def update_request_status(db_params, request_id: uuid.UUID, new_status: str) -> bool:
+    update_query = """
+    UPDATE request
+    SET status = %s, 
+        dor = %s
+    WHERE id = %s;
+    """
+
+    conn = None
+    cur = None
+    try:
+        current_time = datetime.now()
+
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+        cur.execute(update_query, (new_status, current_time, str(request_id)))
+        conn.commit()
+
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error updating request status: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def check_and_update_request(db_params, request_service: str, video_id: uuid.UUID, image_base64: str, registration_token: str):
+    five_minutes_ago = datetime.now() - timedelta(minutes=5)
+
+    check_query = """
+    SELECT id, dor
+    FROM request
+    WHERE video_id = %s
+      AND image_base64 = %s
+      AND created_at >= %s
+      AND status = 'Requested'
+      AND request_service = %s
+    """
+
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        cur.execute(check_query, (str(video_id), image_base64, five_minutes_ago, request_service))
+        existing_request = cur.fetchone()
+
+        if existing_request:
+            existing_request_id, dor, existing_token, existing_ls = existing_request
+            
+            update_query = """
+            UPDATE request
+            SET dor = %s,
+                registration_token = %s,
+                ls = %s
+            WHERE id = %s
+            """
+            cur.execute(update_query, (datetime.now(), registration_token, datetime.now(), str(existing_request_id)))
+            conn.commit()
+
+            return existing_request_id
+
+        return None
+
+    except Exception as e:
+        print(f"Error checking or updating request: {e}")
+        return None
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+            
+def update_reported_status(db_params, request_id: uuid.UUID) -> bool:
+    update_query = """
+    UPDATE request
+    SET report = TRUE
+    WHERE id = %s;
+    """
+
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        cur.execute(update_query, (str(request_id),))
+        conn.commit()
+
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error updating reported status: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def request_id_exists(db_params, request_id: uuid.UUID) -> bool:
+    check_query = """
+    SELECT EXISTS (
+        SELECT 1
+        FROM request
+        WHERE id = %s
+    );
+    """
+
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        cur.execute(check_query, (str(request_id),))
+        exists = cur.fetchone()[0]  
+        return exists
+
+    except Exception as e:
+        print(f"Error checking if request ID exists: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def delete_request(db_params, request_id: uuid.UUID) -> bool:
+    delete_query = """
+    DELETE FROM request
+    WHERE id = %s;
+    """
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+        cur.execute(delete_query, (str(request_id),))
+        conn.commit()
+
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error deleting request: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def update_request_status(db_params, request_id: uuid.UUID, new_status: str) -> bool:
+    update_query = """
+    UPDATE request
+    SET status = %s
+    WHERE id = %s;
+    """
+
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+        cur.execute(update_query, (new_status, str(request_id)))
+        conn.commit()
+
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error updating request status: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def get_oldest_requests(db_params, limit: int):
+    select_query = """
+    SELECT id, video_id, image_base64, tor, paid
+    FROM request
+    WHERE status = 'Requested'-- AND paid = True
+    ORDER BY CASE WHEN paid THEN 0 ELSE 1 END, tor ASC
+    LIMIT %s;
+    """
+
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+        cur.execute(select_query, (limit,))
+        rows = cur.fetchall()
+
+        if rows:
+            return rows
+        else:
+            return None
+
+    except Exception as e:
+        print(f"Error retrieving oldest requests: {e}")
+        return None
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def request_remove_image(db_params, request_id: uuid.UUID) -> bool:
+    check_query = """
+    SELECT image_base64
+    FROM request
+    WHERE id = %s;
+    """
+
+    update_query = """
+    UPDATE request
+    SET image_base64 = 'image_placeholder'
+    WHERE id = %s AND image_base64 IS NOT NULL AND image_base64 <> '';
+    """
+
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+
+        cur.execute(check_query, (str(request_id),))
+        result = cur.fetchone()
+
+        if result is None or result[0] in (None, ''):
+            return False
+
+        cur.execute(update_query, (str(request_id),))
+        conn.commit()
+
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error updating image_base64: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+# ban list
+def insert_ban(db_params, ip: str, reason: str) -> bool:
+    try:
+        conn = psycopg2.connect(**db_params)
+        cursor = conn.cursor()
+        cursor.execute('''INSERT INTO ban_list (ip, reason) VALUES (%s, %s)''', (ip, reason))
+        conn.commit()
+        return True
+    except Exception as e:
+        print(f"Error inserting ban: {e}")
+        return False
+    finally:
+        if cursor:
+            cursor.close()
+        if conn:
+            conn.close()
+
+def search_ban(db_params, ip: str) -> bool:
+    try:
+        conn = psycopg2.connect(**db_params)
+        cursor = conn.cursor()
+        cursor.execute('''SELECT * FROM ban_list WHERE ip = %s''', (ip,))
+        rows = cursor.fetchall()
+        return len(rows) > 0
+    except Exception as e:
+        print(f"Error searching ban list: {e}")
+        return False
+    finally:
+        if cursor:
+            cursor.close()
+        if conn:
+            conn.close()
+
+#content
+
+def get_videos_data(db_params):
+    conn = psycopg2.connect(**db_params)
+    cursor = conn.cursor()
+    
+    try:
+        cursor.execute('''
+            SELECT id, title, backend_video_url, backend_thumbnail_url
+            FROM videos
+            ORDER BY created_at DESC
+            LIMIT 4
+        ''')
+        latest_videos = cursor.fetchall()
+        
+        cursor.execute('''
+            SELECT id, title, backend_video_url, backend_thumbnail_url
+            FROM videos
+            ORDER BY likes DESC
+            LIMIT 4
+        ''')
+        trending_videos = cursor.fetchall()
+        
+        cursor.execute('''
+            SELECT id, title, backend_video_url, backend_thumbnail_url
+            FROM videos
+            ORDER BY hits DESC
+            LIMIT 4
+        ''')
+        hot_videos = cursor.fetchall()
+        
+        cursor.execute('''
+            SELECT DISTINCT category FROM videos
+        ''')
+        categories = cursor.fetchall()
+        
+        def format_video(video):
+            return {
+                "id": video[0],
+                "url": video[2],
+                "title": video[1],
+                "info": "",  
+                "thumbnail": video[3]
+            }
+        
+        response = []
+        
+        latest_category = {
+            "id": "latest",
+            "title": "Latest",
+            "urls": [format_video(video) for video in latest_videos]
+        }
+        
+        trending_category = {
+            "id": "trending",
+            "title": "Trending",
+            "urls": [format_video(video) for video in trending_videos]
+        }
+        
+        hot_category = {
+            "id": "hot",
+            "title": "Hot",
+            "urls": [format_video(video) for video in hot_videos]
+        }
+        
+        response.extend([trending_category, latest_category, hot_category])
+        
+        for category in categories:
+            category_name = category[0]
+            
+            cursor.execute('''
+                SELECT id, title, backend_video_url, backend_thumbnail_url
+                FROM videos
+                WHERE category = %s
+            ''', (category_name,))
+            videos_in_category = cursor.fetchall()
+            
+            category_data = {
+                "id": category_name,
+                "title": category_name,
+                "urls": [format_video(video) for video in videos_in_category]
+            }
+            
+            response.append(category_data)
+    
+    except Exception as e:
+        print(f"An error occurred: {e}")
+    
+    finally:
+        if cursor is not None:
+            cursor.close()
+        if conn is not None:
+            conn.close()
+    
+    return response
+
+def video_id_exists(db_params, video_id: uuid.UUID) -> bool:
+    check_query = """
+    SELECT EXISTS (
+        SELECT 1
+        FROM videos
+        WHERE id = %s
+    );
+    """
+    
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+        
+        cur.execute(check_query, (str(video_id),))
+        exists = cur.fetchone()[0]
+        
+        return exists
+
+    except Exception as e:
+        print(f"Error checking if video ID exists: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def increment_likes(db_params, video_id: uuid.UUID) -> bool:
+    increment_query = """
+    UPDATE videos
+    SET likes = likes + 1
+    WHERE id = %s;
+    """
+    
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+        
+        cur.execute(increment_query, (str(video_id),))
+        conn.commit()
+        
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error incrementing likes: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
+
+def increment_dislikes(db_params, video_id: uuid.UUID) -> bool:
+    increment_query = """
+    UPDATE videos
+    SET dislikes = dislikes + 1
+    WHERE id = %s;
+    """
+    
+    try:
+        conn = psycopg2.connect(**db_params)
+        cur = conn.cursor()
+        
+        cur.execute(increment_query, (str(video_id),))
+        conn.commit()
+        
+        if cur.rowcount > 0:
+            return True
+        else:
+            return False
+
+    except Exception as e:
+        print(f"Error incrementing dislikes: {e}")
+        return False
+
+    finally:
+        if cur:
+            cur.close()
+        if conn:
+            conn.close()
diff --git a/scripts/fpn.py b/scripts/fpn.py
new file mode 100644
index 0000000000000000000000000000000000000000..7b334529640b74b4386b2718535cf6500a7f35fa
--- /dev/null
+++ b/scripts/fpn.py
@@ -0,0 +1,38 @@
+import firebase_admin
+from firebase_admin import credentials
+from firebase_admin import messaging 
+
+cred = credentials.Certificate('./env/firebase/faceanimate-firebase-adminsdk-lnj8m-8fefd36f2f.json')
+default_app = firebase_admin.initialize_app(cred)
+
+class FCM:
+    def __init__(self):
+        pass
+
+    def push_notification(title, body, image, topic='testTopic'):
+        notification = messaging.Notification(
+            title=title,
+            body=body,
+            image=image,
+        )
+        message = messaging.Message(
+            notification=notification,
+            topic=topic,
+        )
+        response = messaging.send(message)
+        if response:
+            return True
+        return False
+
+    def push_message_to_user(data, registration_token):
+        message = messaging.Message(
+            data=data,
+            token=registration_token,
+        )
+        response = messaging.send(message)
+        if response:
+            return True
+        return False
+
+    def __del__(self):
+        pass 
\ No newline at end of file
diff --git a/scripts/liveportrait.py b/scripts/liveportrait.py
new file mode 100644
index 0000000000000000000000000000000000000000..f82f078844d94ee3d50fa2922455a1f89fe42152
--- /dev/null
+++ b/scripts/liveportrait.py
@@ -0,0 +1,211 @@
+import websocket 
+import uuid
+import json
+import urllib.request
+import urllib.parse
+
+import json
+
+import glob
+import os
+
+class LP:
+    def __init__(self , listen = '127.0.0.1' , port = '6000'):
+        work_path = './scripts/workflow/lp.json'
+        with open(work_path, "r", encoding="utf-8") as f:
+            workflow_data = f.read()
+        self.lp_workflow = json.loads(workflow_data)
+        self.server_address = f'{listen}:{port}'
+
+    def queue_prompt(self , prompt , client_id):
+        p = {"prompt": prompt, "client_id": client_id}
+        data = json.dumps(p).encode('utf-8')
+        req =  urllib.request.Request("http://{}/prompt".format(self.server_address), data=data)
+        return json.loads(urllib.request.urlopen(req).read())
+
+    def get_history(self , prompt_id):
+        with urllib.request.urlopen("http://{}/history/{}".format(self.server_address, prompt_id)) as response:
+            return json.loads(response.read())
+    
+
+    def LP(self, client_id, image_base64, video_path):
+        try:
+            # Create a copy of the current workflow and generate a unique client_id
+            current_workflow = self.lp_workflow.copy()
+            # client_id = str(uuid.uuid4())
+
+            # Update the current workflow with the provided image and video paths
+            current_workflow["168"]['inputs']['filename_prefix'] = client_id
+            current_workflow['209']['inputs']['base64_string'] = image_base64
+            current_workflow['202']['inputs']['video'] = video_path
+
+            # Try connecting to the WebSocket server
+            try:
+                ws = websocket.WebSocket()
+                ws.connect("ws://{}/ws?clientId={}".format(self.server_address, client_id))
+            except Exception as e:
+                print(f"Error connecting to WebSocket server: {e}")
+                return None
+
+            # Try getting the output from the WebSocket
+            try:
+                video_output = self.get_output(ws, current_workflow, client_id)
+            except Exception as e:
+                print(f"Error during execution of workflow: {e}")
+                return None
+
+            # Search for files generated with the client_id prefix
+            try:
+                folder_path = os.getcwd() + '/ComfyUI/output'
+                beginning_string = client_id
+                paths = glob.glob(os.path.join(folder_path, beginning_string + '*'))
+            except Exception as e:
+                print(f"Error searching for output files: {e}")
+                return None
+
+            # Return the video output and paths if everything was successful
+            return [video_output, paths]
+
+        except Exception as e:
+            # Catch any unforeseen errors
+            print(f"An unexpected error occurred: {e}")
+            return None
+
+    def get_output(self, ws, prompt, client_id):
+        try:
+            # Send the prompt and wait for the response
+            prompt_id = self.queue_prompt(prompt, client_id)['prompt_id']
+            while True:
+                out = ws.recv()
+                if isinstance(out, str):
+                    message = json.loads(out)
+                    if message['type'] == 'executing':
+                        data = message['data']
+                        if data['node'] is None and data['prompt_id'] == prompt_id:
+                            break
+                else:
+                    continue
+
+            # Get the output file from the history
+            history = self.get_history(prompt_id)[prompt_id]
+            output_file = history['outputs']['168']['gifs'][0]['filename']
+
+            return output_file
+
+        except Exception as e:
+            # Handle errors during WebSocket communication or workflow processing
+            print(f"Error in get_output function: {e}")
+            return None
+
+class FM:
+    def __init__(self , listen = '127.0.0.1' , port = '6000'):
+        work_path = './scripts/workflow/face.json'
+        with open(work_path, "r", encoding="utf-8") as f:
+            workflow_data = f.read()
+        self.lp_workflow = json.loads(workflow_data)
+        self.server_address = f'{listen}:{port}'
+
+    def queue_prompt(self , prompt , client_id):
+        p = {"prompt": prompt, "client_id": client_id}
+        data = json.dumps(p).encode('utf-8')
+        req =  urllib.request.Request("http://{}/prompt".format(self.server_address), data=data)
+        return json.loads(urllib.request.urlopen(req).read())
+
+    def get_history(self , prompt_id):
+        with urllib.request.urlopen("http://{}/history/{}".format(self.server_address, prompt_id)) as response:
+            return json.loads(response.read())
+    
+
+    def FM(self, client_id, image_base64, rotate_pitch=0, rotate_yaw=0, rotate_roll=0, 
+       blink=0, eyebrow=0, wink=0, pupil_x=0, pupil_y=0, aaa=0, eee=0, woo=0, smile=0, src_ratio=1):
+        try:
+            # Create a copy of the current workflow and generate a unique client_id
+            current_workflow = self.lp_workflow.copy()
+            # client_id = str(uuid.uuid4())
+
+            # Update the current workflow with the provided image and video paths
+            current_workflow['37']['inputs']['base64_string'] = image_base64
+            current_workflow['45']['inputs']['filename_prefix'] = client_id
+            
+            current_workflow['14']['inputs']['rotate_pitch'] = self.validate_range(rotate_pitch, -20, 20)
+            current_workflow['14']['inputs']['rotate_yaw'] = self.validate_range(rotate_yaw, -20, 20)
+            current_workflow['14']['inputs']['rotate_roll'] = self.validate_range(rotate_roll, -20, 20)
+            current_workflow['14']['inputs']['blink'] = self.validate_range(blink, -20, 5)
+            current_workflow['14']['inputs']['eyebrow'] = self.validate_range(eyebrow, -10, 15)
+            current_workflow['14']['inputs']['wink'] = self.validate_range(wink, 0, 25)
+            current_workflow['14']['inputs']['pupil_x'] = self.validate_range(pupil_x, -15, 15)
+            current_workflow['14']['inputs']['pupil_y'] = self.validate_range(pupil_y, -15, 15)
+            current_workflow['14']['inputs']['aaa'] = self.validate_range(aaa, -30, 120)
+            current_workflow['14']['inputs']['eee'] = self.validate_range(eee, -20, 15)
+            current_workflow['14']['inputs']['woo'] = self.validate_range(woo, -20, 15)
+            current_workflow['14']['inputs']['smile'] = self.validate_range(smile, -0.30, 1.30)
+            
+            current_workflow['14']['inputs']['src_ratio'] = self.validate_range(smile, 0.0, 1)
+            current_workflow['14']['inputs']['crop_factor'] = 2.5
+            current_workflow['14']['inputs']['sample_ratio'] = 1.20
+            current_workflow['14']['inputs']['sample_parts'] = 'All'
+
+            # Try connecting to the WebSocket server
+            try:
+                ws = websocket.WebSocket()
+                ws.connect("ws://{}/ws?clientId={}".format(self.server_address, client_id))
+            except Exception as e:
+                print(f"Error connecting to WebSocket server: {e}")
+                return None
+
+            # Try getting the output from the WebSocket
+            try:
+                video_output = self.get_output(ws, current_workflow, client_id)
+            except Exception as e:
+                print(f"Error during execution of workflow: {e}")
+                return None
+
+            # Search for files generated with the client_id prefix
+            try:
+                folder_path = os.getcwd() + '/ComfyUI/output'
+                beginning_string = client_id
+                paths = glob.glob(os.path.join(folder_path, beginning_string + '*'))
+            except Exception as e:
+                print(f"Error searching for output files: {e}")
+                return None
+
+            # Return the video output and paths if everything was successful
+            return [video_output, paths]
+
+        except Exception as e:
+            # Catch any unforeseen errors
+            print(f"An unexpected error occurred: {e}")
+            return None
+
+    def get_output(self, ws, prompt, client_id):
+        try:
+            # Send the prompt and wait for the response
+            prompt_id = self.queue_prompt(prompt, client_id)['prompt_id']
+            while True:
+                out = ws.recv()
+                if isinstance(out, str):
+                    message = json.loads(out)
+                    if message['type'] == 'executing':
+                        data = message['data']
+                        if data['node'] is None and data['prompt_id'] == prompt_id:
+                            break
+                else:
+                    continue
+
+            # Get the output file from the history
+            history = self.get_history(prompt_id)[prompt_id]
+            output_file = history['outputs']['45']['images'][0]['filename']
+
+            return output_file
+
+        except Exception as e:
+            # Handle errors during WebSocket communication or workflow processing
+            print(f"Error in get_output function: {e}")
+            return None
+            
+    def validate_range(self, value, min_value, max_value):
+        if value < min_value:
+            return min_value
+        elif value > max_value:
+            return max_value
+        return value
\ No newline at end of file
diff --git a/scripts/ports.db b/scripts/ports.db
new file mode 100644
index 0000000000000000000000000000000000000000..3fed099caee78f2ead6fca30326003408b729b58
Binary files /dev/null and b/scripts/ports.db differ
diff --git a/scripts/s3.py b/scripts/s3.py
new file mode 100644
index 0000000000000000000000000000000000000000..846c44a3b381f25db1745c75f8ab50a2b093c350
--- /dev/null
+++ b/scripts/s3.py
@@ -0,0 +1,46 @@
+import boto3
+from botocore.exceptions import NoCredentialsError, PartialCredentialsError
+
+s3_client = boto3.client('s3')
+bucket = 'app-faceanimate-s3'
+
+#s3_client.list_objects_v2(Bucket=bucket)['Contents']
+
+def upload_to_s3(bucket_name: str, local_file_path: str, s3_key: str) -> bool:
+    s3_client = boto3.client('s3')
+    
+    try:
+        s3_client.upload_file(local_file_path, bucket_name, s3_key)
+        print(f"Successfully uploaded {local_file_path} to {bucket_name}/{s3_key}")
+        return True
+    except Exception as e:
+        print(f"Error uploading file: {e}")
+        return False
+
+def generate_presigned_url(bucket_name: str, object_key: str, expiration: int = 3600) -> str:
+    s3_client = boto3.client('s3')
+
+    try:
+        response = s3_client.generate_presigned_url(
+            'get_object',
+            Params={'Bucket': bucket_name, 'Key': object_key},
+            ExpiresIn=expiration
+        )
+        return response
+    except (NoCredentialsError, PartialCredentialsError) as e:
+        print(f"Credentials error: {e}")
+        return None
+    except Exception as e:
+        print(f"Error generating pre-signed URL: {e}")
+        return None
+
+def delete_from_s3(bucket_name: str, object_key: str) -> bool:
+    s3_client = boto3.client('s3')
+
+    try:
+        s3_client.delete_object(Bucket=bucket_name, Key=object_key)
+        print(f"Successfully deleted {object_key} from {bucket_name}")
+        return True
+    except Exception as e:
+        print(f"Error deleting file: {e}")
+        return False
diff --git a/scripts/workflow/.ipynb_checkpoints/lp-checkpoint.json b/scripts/workflow/.ipynb_checkpoints/lp-checkpoint.json
new file mode 100644
index 0000000000000000000000000000000000000000..83194100accfc981bc31132c6e82ed75ed13ee04
--- /dev/null
+++ b/scripts/workflow/.ipynb_checkpoints/lp-checkpoint.json
@@ -0,0 +1,266 @@
+{
+  "1": {
+    "inputs": {
+      "precision": "fp16",
+      "mode": "human"
+    },
+    "class_type": "DownloadAndLoadLivePortraitModels",
+    "_meta": {
+      "title": "(Down)Load LivePortraitModels"
+    }
+  },
+  "78": {
+    "inputs": {
+      "image": [
+        "165",
+        0
+      ]
+    },
+    "class_type": "GetImageSizeAndCount",
+    "_meta": {
+      "title": "Get Image Size & Count"
+    }
+  },
+  "81": {
+    "inputs": {
+      "expand": 0,
+      "incremental_expandrate": 0,
+      "tapered_corners": true,
+      "flip_input": false,
+      "blur_radius": 13.9,
+      "lerp_alpha": 1,
+      "decay_factor": 1,
+      "fill_holes": false,
+      "mask": [
+        "83",
+        0
+      ]
+    },
+    "class_type": "GrowMaskWithBlur",
+    "_meta": {
+      "title": "Grow Mask With Blur"
+    }
+  },
+  "83": {
+    "inputs": {
+      "shape": "square",
+      "frames": 1,
+      "location_x": 256,
+      "location_y": 256,
+      "grow": 0,
+      "frame_width": 512,
+      "frame_height": 512,
+      "shape_width": 480,
+      "shape_height": 480
+    },
+    "class_type": "CreateShapeMask",
+    "_meta": {
+      "title": "Create Shape Mask"
+    }
+  },
+  "165": {
+    "inputs": {
+      "width": 512,
+      "height": 512,
+      "upscale_method": "lanczos",
+      "keep_proportion": true,
+      "divisible_by": 2,
+      "crop": "disabled",
+      "image": [
+        "209",
+        0
+      ]
+    },
+    "class_type": "ImageResizeKJ",
+    "_meta": {
+      "title": "Resize Image"
+    }
+  },
+  "168": {
+    "inputs": {
+      "frame_rate": 16,
+      "loop_count": 0,
+      "filename_prefix": "filename_prefix_uuid",
+      "format": "video/h264-mp4",
+      "pix_fmt": "yuv420p",
+      "crf": 19,
+      "save_metadata": false,
+      "pingpong": false,
+      "save_output": true,
+      "images": [
+        "191",
+        0
+      ],
+      "audio": [
+        "202",
+        2
+      ]
+    },
+    "class_type": "VHS_VideoCombine",
+    "_meta": {
+      "title": "Video Combine 🎥🅥🅗🅢"
+    }
+  },
+  "180": {
+    "inputs": {
+      "eye_retargeting": true,
+      "eyes_retargeting_multiplier": 1,
+      "lip_retargeting": true,
+      "lip_retargeting_multiplier": 1,
+      "driving_crop_info": [
+        "197",
+        1
+      ]
+    },
+    "class_type": "LivePortraitRetargeting",
+    "_meta": {
+      "title": "LivePortrait Retargeting"
+    }
+  },
+  "189": {
+    "inputs": {
+      "dsize": 512,
+      "scale": 2.3000000000000003,
+      "vx_ratio": 0,
+      "vy_ratio": -0.125,
+      "face_index": 0,
+      "face_index_order": "large-small",
+      "rotate": true,
+      "pipeline": [
+        "1",
+        0
+      ],
+      "cropper": [
+        "198",
+        0
+      ],
+      "source_image": [
+        "78",
+        0
+      ]
+    },
+    "class_type": "LivePortraitCropper",
+    "_meta": {
+      "title": "LivePortrait Cropper"
+    }
+  },
+  "190": {
+    "inputs": {
+      "lip_zero": false,
+      "lip_zero_threshold": 0.03,
+      "stitching": true,
+      "delta_multiplier": 1,
+      "mismatch_method": "constant",
+      "relative_motion_mode": "relative",
+      "driving_smooth_observation_variance": 0.000003,
+      "expression_friendly": true,
+      "expression_friendly_multiplier": 1,
+      "pipeline": [
+        "1",
+        0
+      ],
+      "crop_info": [
+        "189",
+        1
+      ],
+      "source_image": [
+        "78",
+        0
+      ],
+      "driving_images": [
+        "202",
+        0
+      ]
+    },
+    "class_type": "LivePortraitProcess",
+    "_meta": {
+      "title": "LivePortrait Process"
+    }
+  },
+  "191": {
+    "inputs": {
+      "source_image": [
+        "78",
+        0
+      ],
+      "cropped_image": [
+        "190",
+        0
+      ],
+      "liveportrait_out": [
+        "190",
+        1
+      ],
+      "mask": [
+        "81",
+        0
+      ]
+    },
+    "class_type": "LivePortraitComposite",
+    "_meta": {
+      "title": "LivePortrait Composite"
+    }
+  },
+  "197": {
+    "inputs": {
+      "dsize": 512,
+      "scale": 2.3000000000000003,
+      "vx_ratio": 0,
+      "vy_ratio": -0.125,
+      "face_index": 0,
+      "face_index_order": "large-small",
+      "rotate": true,
+      "pipeline": [
+        "1",
+        0
+      ],
+      "cropper": [
+        "198",
+        0
+      ],
+      "source_image": [
+        "202",
+        0
+      ]
+    },
+    "class_type": "LivePortraitCropper",
+    "_meta": {
+      "title": "LivePortrait Cropper"
+    }
+  },
+  "198": {
+    "inputs": {
+      "landmarkrunner_onnx_device": "torch_gpu",
+      "keep_model_loaded": true
+    },
+    "class_type": "LivePortraitLoadMediaPipeCropper",
+    "_meta": {
+      "title": "LivePortrait Load MediaPipeCropper"
+    }
+  },
+  "202": {
+    "inputs": {
+      "video": "/home/ubuntu/AI/3f5a4d74-03bb-4d20-a297-81a7e2b677b7.mp4",
+      "force_rate": 16,
+      "force_size": "Disabled",
+      "custom_width": 512,
+      "custom_height": 512,
+      "frame_load_cap": 0,
+      "skip_first_frames": 0,
+      "select_every_nth": 1
+    },
+    "class_type": "VHS_LoadVideoPath",
+    "_meta": {
+      "title": "Load Video (Path) 🎥🅥🅗🅢"
+    }
+  },
+  "209": {
+    "inputs": {
+      "base64_string": "imagebase64"
+    },
+    "class_type": "ImageLoadFromBase64(IOHelpers)",
+    "_meta": {
+      "title": "ImageLoadFromBase64(IOHelpers)"
+    }
+  }
+}
\ No newline at end of file
diff --git a/scripts/workflow/.ipynb_checkpoints/lp_image_path-checkpoint.json b/scripts/workflow/.ipynb_checkpoints/lp_image_path-checkpoint.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6e6e92c6635e7472d6a8789b60064604b2d5f8f
--- /dev/null
+++ b/scripts/workflow/.ipynb_checkpoints/lp_image_path-checkpoint.json
@@ -0,0 +1,266 @@
+{
+  "1": {
+    "inputs": {
+      "precision": "fp16",
+      "mode": "human"
+    },
+    "class_type": "DownloadAndLoadLivePortraitModels",
+    "_meta": {
+      "title": "(Down)Load LivePortraitModels"
+    }
+  },
+  "78": {
+    "inputs": {
+      "image": [
+        "165",
+        0
+      ]
+    },
+    "class_type": "GetImageSizeAndCount",
+    "_meta": {
+      "title": "Get Image Size & Count"
+    }
+  },
+  "81": {
+    "inputs": {
+      "expand": 0,
+      "incremental_expandrate": 0,
+      "tapered_corners": true,
+      "flip_input": false,
+      "blur_radius": 13.9,
+      "lerp_alpha": 1,
+      "decay_factor": 1,
+      "fill_holes": false,
+      "mask": [
+        "83",
+        0
+      ]
+    },
+    "class_type": "GrowMaskWithBlur",
+    "_meta": {
+      "title": "Grow Mask With Blur"
+    }
+  },
+  "83": {
+    "inputs": {
+      "shape": "square",
+      "frames": 1,
+      "location_x": 256,
+      "location_y": 256,
+      "grow": 0,
+      "frame_width": 512,
+      "frame_height": 512,
+      "shape_width": 480,
+      "shape_height": 480
+    },
+    "class_type": "CreateShapeMask",
+    "_meta": {
+      "title": "Create Shape Mask"
+    }
+  },
+  "165": {
+    "inputs": {
+      "width": 512,
+      "height": 512,
+      "upscale_method": "lanczos",
+      "keep_proportion": true,
+      "divisible_by": 2,
+      "crop": "disabled",
+      "image": [
+        "208",
+        0
+      ]
+    },
+    "class_type": "ImageResizeKJ",
+    "_meta": {
+      "title": "Resize Image"
+    }
+  },
+  "168": {
+    "inputs": {
+      "frame_rate": 16,
+      "loop_count": 0,
+      "filename_prefix": "filename_prefix_uuid",
+      "format": "video/h264-mp4",
+      "pix_fmt": "yuv420p",
+      "crf": 19,
+      "save_metadata": false,
+      "pingpong": false,
+      "save_output": true,
+      "images": [
+        "191",
+        0
+      ],
+      "audio": [
+        "202",
+        2
+      ]
+    },
+    "class_type": "VHS_VideoCombine",
+    "_meta": {
+      "title": "Video Combine 🎥🅥🅗🅢"
+    }
+  },
+  "180": {
+    "inputs": {
+      "eye_retargeting": true,
+      "eyes_retargeting_multiplier": 1,
+      "lip_retargeting": true,
+      "lip_retargeting_multiplier": 1,
+      "driving_crop_info": [
+        "197",
+        1
+      ]
+    },
+    "class_type": "LivePortraitRetargeting",
+    "_meta": {
+      "title": "LivePortrait Retargeting"
+    }
+  },
+  "189": {
+    "inputs": {
+      "dsize": 512,
+      "scale": 2.3000000000000003,
+      "vx_ratio": 0,
+      "vy_ratio": -0.125,
+      "face_index": 0,
+      "face_index_order": "large-small",
+      "rotate": true,
+      "pipeline": [
+        "1",
+        0
+      ],
+      "cropper": [
+        "198",
+        0
+      ],
+      "source_image": [
+        "78",
+        0
+      ]
+    },
+    "class_type": "LivePortraitCropper",
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+      "expression_friendly": true,
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+    "_meta": {
+      "title": "LivePortrait Process"
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+      "face_index_order": "large-small",
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+    },
+    "class_type": "LivePortraitCropper",
+    "_meta": {
+      "title": "LivePortrait Cropper"
+    }
+  },
+  "198": {
+    "inputs": {
+      "landmarkrunner_onnx_device": "torch_gpu",
+      "keep_model_loaded": true
+    },
+    "class_type": "LivePortraitLoadMediaPipeCropper",
+    "_meta": {
+      "title": "LivePortrait Load MediaPipeCropper"
+    }
+  },
+  "202": {
+    "inputs": {
+      "video": "input/78d31164-696f-4960-9972-a22d9f4b7390.mp4",
+      "force_rate": 16,
+      "force_size": "Disabled",
+      "custom_width": 512,
+      "custom_height": 512,
+      "frame_load_cap": 0,
+      "skip_first_frames": 0,
+      "select_every_nth": 1
+    },
+    "class_type": "VHS_LoadVideoPath",
+    "_meta": {
+      "title": "Load Video (Path) 🎥🅥🅗🅢"
+    }
+  },
+  "208": {
+    "inputs": {
+      "image": "d9.png"
+    },
+    "class_type": "LoadImageFromPath",
+    "_meta": {
+      "title": "Load Image From Path"
+    }
+  }
+}
diff --git a/scripts/workflow/face.json b/scripts/workflow/face.json
new file mode 100644
index 0000000000000000000000000000000000000000..38ad99c0970724ea46169dd367813c1f26a27349
--- /dev/null
+++ b/scripts/workflow/face.json
@@ -0,0 +1,52 @@
+{
+  "14": {
+    "inputs": {
+      "rotate_pitch": 1,
+      "rotate_yaw": 0,
+      "rotate_roll": 0,
+      "blink": 0,
+      "eyebrow": 0,
+      "wink": 0,
+      "pupil_x": 0,
+      "pupil_y": 15,
+      "aaa": -30,
+      "eee": -20,
+      "woo": -20,
+      "smile": 0,
+      "src_ratio": 1,
+      "sample_ratio": 1.2,
+      "sample_parts": "All",
+      "crop_factor": 2.5,
+      "src_image": [
+        "37",
+        0
+      ]
+    },
+    "class_type": "ExpressionEditor",
+    "_meta": {
+      "title": "Expression Editor (PHM)"
+    }
+  },
+  "37": {
+    "inputs": {
+      "base64_string": ""
+    },
+    "class_type": "ImageLoadFromBase64(IOHelpers)",
+    "_meta": {
+      "title": "ImageLoadFromBase64(IOHelpers)"
+    }
+  },
+  "45": {
+    "inputs": {
+      "filename_prefix": "ComfyUI",
+      "images": [
+        "14",
+        0
+      ]
+    },
+    "class_type": "SaveImage",
+    "_meta": {
+      "title": "Save Image"
+    }
+  }
+}
\ No newline at end of file
diff --git a/scripts/workflow/lp.json b/scripts/workflow/lp.json
new file mode 100644
index 0000000000000000000000000000000000000000..83194100accfc981bc31132c6e82ed75ed13ee04
--- /dev/null
+++ b/scripts/workflow/lp.json
@@ -0,0 +1,266 @@
+{
+  "1": {
+    "inputs": {
+      "precision": "fp16",
+      "mode": "human"
+    },
+    "class_type": "DownloadAndLoadLivePortraitModels",
+    "_meta": {
+      "title": "(Down)Load LivePortraitModels"
+    }
+  },
+  "78": {
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+        0
+      ]
+    },
+    "class_type": "GetImageSizeAndCount",
+    "_meta": {
+      "title": "Get Image Size & Count"
+    }
+  },
+  "81": {
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+      "incremental_expandrate": 0,
+      "tapered_corners": true,
+      "flip_input": false,
+      "blur_radius": 13.9,
+      "lerp_alpha": 1,
+      "decay_factor": 1,
+      "fill_holes": false,
+      "mask": [
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+        0
+      ]
+    },
+    "class_type": "GrowMaskWithBlur",
+    "_meta": {
+      "title": "Grow Mask With Blur"
+    }
+  },
+  "83": {
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+      "shape": "square",
+      "frames": 1,
+      "location_x": 256,
+      "location_y": 256,
+      "grow": 0,
+      "frame_width": 512,
+      "frame_height": 512,
+      "shape_width": 480,
+      "shape_height": 480
+    },
+    "class_type": "CreateShapeMask",
+    "_meta": {
+      "title": "Create Shape Mask"
+    }
+  },
+  "165": {
+    "inputs": {
+      "width": 512,
+      "height": 512,
+      "upscale_method": "lanczos",
+      "keep_proportion": true,
+      "divisible_by": 2,
+      "crop": "disabled",
+      "image": [
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+        0
+      ]
+    },
+    "class_type": "ImageResizeKJ",
+    "_meta": {
+      "title": "Resize Image"
+    }
+  },
+  "168": {
+    "inputs": {
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+      "loop_count": 0,
+      "filename_prefix": "filename_prefix_uuid",
+      "format": "video/h264-mp4",
+      "pix_fmt": "yuv420p",
+      "crf": 19,
+      "save_metadata": false,
+      "pingpong": false,
+      "save_output": true,
+      "images": [
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+      "audio": [
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+        2
+      ]
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+    "class_type": "VHS_VideoCombine",
+    "_meta": {
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+      "lip_retargeting": true,
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+        1
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+    },
+    "class_type": "LivePortraitRetargeting",
+    "_meta": {
+      "title": "LivePortrait Retargeting"
+    }
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+      "source_image": [
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+    "class_type": "LivePortraitCropper",
+    "_meta": {
+      "title": "LivePortrait Cropper"
+    }
+  },
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+    "inputs": {
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+      "lip_zero_threshold": 0.03,
+      "stitching": true,
+      "delta_multiplier": 1,
+      "mismatch_method": "constant",
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+      "expression_friendly": true,
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+    "_meta": {
+      "title": "LivePortrait Composite"
+    }
+  },
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+      "vy_ratio": -0.125,
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+    "class_type": "LivePortraitCropper",
+    "_meta": {
+      "title": "LivePortrait Cropper"
+    }
+  },
+  "198": {
+    "inputs": {
+      "landmarkrunner_onnx_device": "torch_gpu",
+      "keep_model_loaded": true
+    },
+    "class_type": "LivePortraitLoadMediaPipeCropper",
+    "_meta": {
+      "title": "LivePortrait Load MediaPipeCropper"
+    }
+  },
+  "202": {
+    "inputs": {
+      "video": "/home/ubuntu/AI/3f5a4d74-03bb-4d20-a297-81a7e2b677b7.mp4",
+      "force_rate": 16,
+      "force_size": "Disabled",
+      "custom_width": 512,
+      "custom_height": 512,
+      "frame_load_cap": 0,
+      "skip_first_frames": 0,
+      "select_every_nth": 1
+    },
+    "class_type": "VHS_LoadVideoPath",
+    "_meta": {
+      "title": "Load Video (Path) 🎥🅥🅗🅢"
+    }
+  },
+  "209": {
+    "inputs": {
+      "base64_string": "imagebase64"
+    },
+    "class_type": "ImageLoadFromBase64(IOHelpers)",
+    "_meta": {
+      "title": "ImageLoadFromBase64(IOHelpers)"
+    }
+  }
+}
\ No newline at end of file
diff --git a/scripts/workflow/lp_image_path.json b/scripts/workflow/lp_image_path.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6e6e92c6635e7472d6a8789b60064604b2d5f8f
--- /dev/null
+++ b/scripts/workflow/lp_image_path.json
@@ -0,0 +1,266 @@
+{
+  "1": {
+    "inputs": {
+      "precision": "fp16",
+      "mode": "human"
+    },
+    "class_type": "DownloadAndLoadLivePortraitModels",
+    "_meta": {
+      "title": "(Down)Load LivePortraitModels"
+    }
+  },
+  "78": {
+    "inputs": {
+      "image": [
+        "165",
+        0
+      ]
+    },
+    "class_type": "GetImageSizeAndCount",
+    "_meta": {
+      "title": "Get Image Size & Count"
+    }
+  },
+  "81": {
+    "inputs": {
+      "expand": 0,
+      "incremental_expandrate": 0,
+      "tapered_corners": true,
+      "flip_input": false,
+      "blur_radius": 13.9,
+      "lerp_alpha": 1,
+      "decay_factor": 1,
+      "fill_holes": false,
+      "mask": [
+        "83",
+        0
+      ]
+    },
+    "class_type": "GrowMaskWithBlur",
+    "_meta": {
+      "title": "Grow Mask With Blur"
+    }
+  },
+  "83": {
+    "inputs": {
+      "shape": "square",
+      "frames": 1,
+      "location_x": 256,
+      "location_y": 256,
+      "grow": 0,
+      "frame_width": 512,
+      "frame_height": 512,
+      "shape_width": 480,
+      "shape_height": 480
+    },
+    "class_type": "CreateShapeMask",
+    "_meta": {
+      "title": "Create Shape Mask"
+    }
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+    "inputs": {
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+      "height": 512,
+      "upscale_method": "lanczos",
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+      "crop": "disabled",
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+    "_meta": {
+      "title": "Resize Image"
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+      "loop_count": 0,
+      "filename_prefix": "filename_prefix_uuid",
+      "format": "video/h264-mp4",
+      "pix_fmt": "yuv420p",
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+      "pingpong": false,
+      "save_output": true,
+      "images": [
+        "191",
+        0
+      ],
+      "audio": [
+        "202",
+        2
+      ]
+    },
+    "class_type": "VHS_VideoCombine",
+    "_meta": {
+      "title": "Video Combine 🎥🅥🅗🅢"
+    }
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+      "eyes_retargeting_multiplier": 1,
+      "lip_retargeting": true,
+      "lip_retargeting_multiplier": 1,
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+        "197",
+        1
+      ]
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+    "class_type": "LivePortraitRetargeting",
+    "_meta": {
+      "title": "LivePortrait Retargeting"
+    }
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+      "scale": 2.3000000000000003,
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+      "face_index_order": "large-small",
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+    "class_type": "LivePortraitCropper",
+    "_meta": {
+      "title": "LivePortrait Cropper"
+    }
+  },
+  "190": {
+    "inputs": {
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+      "lip_zero_threshold": 0.03,
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+    "_meta": {
+      "title": "LivePortrait Process"
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+    "_meta": {
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+    "inputs": {
+      "landmarkrunner_onnx_device": "torch_gpu",
+      "keep_model_loaded": true
+    },
+    "class_type": "LivePortraitLoadMediaPipeCropper",
+    "_meta": {
+      "title": "LivePortrait Load MediaPipeCropper"
+    }
+  },
+  "202": {
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+      "video": "input/78d31164-696f-4960-9972-a22d9f4b7390.mp4",
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+      "title": "Load Video (Path) 🎥🅥🅗🅢"
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+    "inputs": {
+      "image": "d9.png"
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+    "class_type": "LoadImageFromPath",
+    "_meta": {
+      "title": "Load Image From Path"
+    }
+  }
+}
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